From e35af3b35058f85ccbe9e78cf77ff217cc2b4b60 Mon Sep 17 00:00:00 2001
From: ecmerkle <ecmerkle@gmail.com>
Date: Thu, 21 Dec 2023 03:52:58 +0000
Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20ecmerkle?=
 =?UTF-8?q?/blavaan@cc89ddde2e57901744a618dce839a0a31bc75b06=20?=
 =?UTF-8?q?=F0=9F=9A=80?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 404.html                                      |   2 +-
 articles/approx_fi.html                       |  36 ++--
 .../approx_fi_files/figure-html/plpi-1.png    | Bin 117350 -> 116142 bytes
 articles/convergence_efficiency.html          |  34 ++--
 articles/convergence_loop.html                |   4 +-
 .../figure-html/unnamed-chunk-4-1.png         | Bin 263456 -> 263917 bytes
 articles/cross_loadings_strong_priors.html    |  68 ++++----
 articles/estimate.html                        |   2 +-
 articles/index.html                           |   2 +-
 articles/invariance.html                      |   2 +-
 articles/mod_indices.html                     |  58 +++----
 articles/model_comparison.html                |  94 +++++-----
 articles/multilevel.html                      |   2 +-
 articles/ordinal.html                         |   2 +-
 articles/plotting.html                        |   2 +-
 articles/prior.html                           |   2 +-
 articles/prior_pred_checks.html               |   2 +-
 .../figure-html/unnamed-chunk-4-1.png         | Bin 85448 -> 84617 bytes
 .../figure-html/unnamed-chunk-5-1.png         | Bin 59231 -> 57342 bytes
 .../figure-html/unnamed-chunk-9-1.png         | Bin 85087 -> 85544 bytes
 articles/probability_direction.html           | 164 +++++++++---------
 articles/resources.html                       |   2 +-
 articles/start.html                           |   2 +-
 articles/summaries.html                       |   2 +-
 authors.html                                  |   2 +-
 index.html                                    |   2 +-
 news/index.html                               |   2 +-
 pkgdown.yml                                   |   2 +-
 reference/bcfa.html                           |   2 +-
 reference/bgrowth.html                        |   2 +-
 reference/blavCompare.html                    |   2 +-
 reference/blavFitIndices.html                 |   2 +-
 reference/blavInspect.html                    |   2 +-
 reference/blavPredict.html                    |   2 +-
 reference/blav_internal.html                  |   2 +-
 reference/blavaan-class.html                  |   2 +-
 reference/blavaan.html                        |   2 +-
 reference/bsem.html                           |   2 +-
 reference/dpriors.html                        |   2 +-
 reference/index.html                          |   2 +-
 reference/plot.blavaan.html                   |   2 +-
 reference/ppmc.html                           |   2 +-
 reference/standardizedPosterior.html          |   2 +-
 search.json                                   |   2 +-
 44 files changed, 261 insertions(+), 261 deletions(-)

diff --git a/404.html b/404.html
index fcb97695..e907f6b1 100644
--- a/404.html
+++ b/404.html
@@ -24,7 +24,7 @@
     
     <a class="navbar-brand me-2" href="http://ecmerkle.github.io/blavaan/index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/articles/approx_fi.html b/articles/approx_fi.html
index 7be307c6..d5a2bd5f 100644
--- a/articles/approx_fi.html
+++ b/articles/approx_fi.html
@@ -26,7 +26,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -154,10 +154,10 @@ <h3 id="noncentrality-based-fit-indices">Noncentrality-Based Fit Indices<a class
 <span><span class="co">## Posterior summary statistics and highest posterior density (HPD) 90% credible intervals for devm-based fit indices:</span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">##                EAP Median   MAP    SD lower upper</span></span>
-<span><span class="co">## BRMSEA       0.098  0.098 0.098 0.005 0.090 0.107</span></span>
-<span><span class="co">## BGammaHat    0.956  0.957 0.957 0.005 0.949 0.964</span></span>
-<span><span class="co">## adjBGammaHat 0.907  0.908 0.908 0.010 0.892 0.922</span></span>
-<span><span class="co">## BMc          0.903  0.903 0.904 0.010 0.887 0.918</span></span></code></pre>
+<span><span class="co">## BRMSEA       0.098  0.097 0.096 0.005 0.089 0.106</span></span>
+<span><span class="co">## BGammaHat    0.957  0.957 0.958 0.005 0.950 0.964</span></span>
+<span><span class="co">## adjBGammaHat 0.908  0.909 0.912 0.010 0.894 0.924</span></span>
+<span><span class="co">## BMc          0.903  0.904 0.906 0.010 0.888 0.919</span></span></code></pre>
 </div>
 <div class="section level3">
 <h3 id="incremental-fit-indices">Incremental Fit Indices<a class="anchor" aria-label="anchor" href="#incremental-fit-indices"></a>
@@ -199,13 +199,13 @@ <h3 id="incremental-fit-indices">Incremental Fit Indices<a class="anchor" aria-l
 <span><span class="co">## Posterior summary statistics and highest posterior density (HPD) 90% credible intervals for devm-based fit indices:</span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">##                EAP Median   MAP    SD lower upper</span></span>
-<span><span class="co">## BRMSEA       0.098  0.098 0.098 0.005 0.090 0.107</span></span>
-<span><span class="co">## BGammaHat    0.956  0.957 0.957 0.005 0.949 0.964</span></span>
-<span><span class="co">## adjBGammaHat 0.907  0.908 0.908 0.010 0.892 0.922</span></span>
-<span><span class="co">## BMc          0.903  0.903 0.904 0.010 0.887 0.918</span></span>
-<span><span class="co">## BCFI         0.930  0.931 0.931 0.008 0.918 0.942</span></span>
-<span><span class="co">## BTLI         0.884  0.885 0.886 0.013 0.864 0.903</span></span>
-<span><span class="co">## BNFI         0.910  0.910 0.911 0.007 0.898 0.921</span></span></code></pre>
+<span><span class="co">## BRMSEA       0.098  0.097 0.096 0.005 0.089 0.106</span></span>
+<span><span class="co">## BGammaHat    0.957  0.957 0.958 0.005 0.950 0.964</span></span>
+<span><span class="co">## adjBGammaHat 0.908  0.909 0.912 0.010 0.894 0.924</span></span>
+<span><span class="co">## BMc          0.903  0.904 0.906 0.010 0.888 0.919</span></span>
+<span><span class="co">## BCFI         0.930  0.931 0.933 0.008 0.919 0.942</span></span>
+<span><span class="co">## BTLI         0.885  0.886 0.890 0.013 0.866 0.905</span></span>
+<span><span class="co">## BNFI         0.910  0.911 0.913 0.007 0.899 0.921</span></span></code></pre>
 <p>The <code><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary()</a></code> method now presents the central tendicy
 measure you asked for, standard deviation, and credible interval for the
 noncentrality and incremental fit indices.</p>
@@ -220,12 +220,12 @@ <h3 id="access-the-indices-posterior-distributions">Access the indices posterior
 <code class="sourceCode R"><span><span class="va">dist_fits</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span><span class="va">gl_fits_all</span><span class="op">@</span><span class="va">indices</span><span class="op">)</span></span>
 <span><span class="fu"><a href="https://rdrr.io/r/utils/head.html" class="external-link">head</a></span><span class="op">(</span><span class="va">dist_fits</span><span class="op">)</span></span></code></pre></div>
 <pre><code><span><span class="co">##       BRMSEA BGammaHat adjBGammaHat       BMc      BCFI      BTLI      BNFI</span></span>
-<span><span class="co">## 1 0.09860905 0.9563606    0.9070059 0.9024256 0.9299327 0.8834168 0.9095942</span></span>
-<span><span class="co">## 2 0.09803424 0.9568460    0.9080403 0.9035032 0.9307577 0.8847896 0.9103906</span></span>
-<span><span class="co">## 3 0.08908232 0.9640973    0.9234925 0.9196249 0.9428911 0.9049781 0.9220822</span></span>
-<span><span class="co">## 4 0.09114743 0.9624766    0.9200389 0.9160180 0.9401730 0.9004554 0.9194548</span></span>
-<span><span class="co">## 5 0.10016009 0.9550392    0.9041901 0.8994928 0.9277791 0.8798335 0.9075414</span></span>
-<span><span class="co">## 6 0.10249460 0.9530185    0.8998840 0.8950108 0.9247248 0.8747516 0.9046940</span></span></code></pre>
+<span><span class="co">## 1 0.10451314 0.9508153    0.8961425 0.8901278 0.9209631 0.8693100 0.9008644</span></span>
+<span><span class="co">## 2 0.09561025 0.9585050    0.9123800 0.9071880 0.9341382 0.8910956 0.9136208</span></span>
+<span><span class="co">## 3 0.09537243 0.9587027    0.9127974 0.9076272 0.9341722 0.8911516 0.9135650</span></span>
+<span><span class="co">## 4 0.09316822 0.9605150    0.9166243 0.9116553 0.9369082 0.8956758 0.9161104</span></span>
+<span><span class="co">## 5 0.09950950 0.9552061    0.9054141 0.8998632 0.9276337 0.8803400 0.9070844</span></span>
+<span><span class="co">## 6 0.10371813 0.9515246    0.8976402 0.8916993 0.9218003 0.8706944 0.9015800</span></span></code></pre>
 <p>Once we have saved the posterior distributions, we can explore the
 the histogram and scatterplots between indices.</p>
 <div class="sourceCode" id="cb10"><pre class="downlit sourceCode r">
diff --git a/articles/approx_fi_files/figure-html/plpi-1.png b/articles/approx_fi_files/figure-html/plpi-1.png
index 436cc827e7b6941894dd4165846dd49d72dac7b4..c74d0ff985e361cf2ba0b8a190ffaaad066ea645 100644
GIT binary patch
literal 116142
zcmdqIWm6no8!e0m3lQAhJp>5u?(P<XySoSX06~HVOK^g_ySu~S?lKI{>D<pbU*4ba
zPSwy=OjY;3_P%tj)ln)+(x}LU$WTyFsIoE=YEV${UQkf5CW!BV{}{r|8UdGgU*)AG
zfGhBM5N{0xE=W!?x~@=ABoY6<&<T52=1@@NP_h!D8eUna>%Lwj+TMq67p)c+#%^im
z{AjYwym;qD-<{<0zK4q;r7|}{E6jF5KVtV3sr-URix8(^d8ucxXV_bTv7Z%FkLLY8
z<Sf=x#Gs;wCM%a`kj&HI>U^rxP^tg)sTQ<BW;+T>Z7>^7G#d>No~$hp^qm~bA&|Z>
z^0BP&3}zp|H;w)O#h-Ld5v4omf7ZwshFrF5y<?O%YIkzYNu(YO2eUxAJz~m=CbS82
z9j7znLVMkdMAcs71pIAp`8H@D%U+h!Z)h5;tBdOy$F8XR%@fQ+v{V}j#^Hf_=62$^
z^!~Dec}DaF`@ZV2<Bh<}DaSn*)z3a2QVIQPm6*GJs2z0X+O~+QFj0GE8Z5e*7EA|w
z66Cxo92|(y@%~wuu#?A<Khc&uZ4oN4GZIYoMR-g8mE4JSGwo0(RyWQAIx~nHiVWe4
zdSF#?E7}1mTeFyg{z1U--Y5t6oLtdR-=VHvna1!8nQg^2BkAJ^C`Hf@Sgm_1?fK*F
zpx#Z@X16}6&T=pJK)UAOb|w372KmcMQcGBL!4dy9GA}xcht|2L*V)I8Od9-LSU>;x
zvrl4_9?x(>95Cl}#DN_4oXVGXACh_|4ZAG8HaWVagZOoFY`M?4gF6lT9@C)TX8u0k
zbT$5Owej|scZOOY?Avqb15)eiit60Y@aQ-KBUHip>gptF*~h;Ojy0;#p5aCs;X2No
z`Il>VDshB~Ok;V$**a?#nl}oH9;y{})_V5cWkF;Z=0iIjQq3+@PmY-vwC(HzStZQp
zgr*rTbWc!Y-_EG0cj0+Dx4?#|Rm#GYzev3J{uY?5dqO$-|9HYBN4SMq{9OKYM=%=K
z!9Ms}LUwX7R=s}p%vhV;s@iMG_4Mr+E?{hW_gp$?5Ej1YLLAO*e&fyKrC$4k&$UqN
z@GGwGS%zRv^WWL*y}(JGfI+15!SvbW1|vyqK}i>QI+AsCZu?WMk&5>h!nsks2i6re
zQifSFNqtG!d{N29Gduy=k*^^qB=;Zj+P=ID^PmEU!WEC@Iq&<2Dq>=xH^Jc7-i(jm
z0;?*fEGr(?o)2fdF=ISLmckQ@sPTPH`RqsFz<U23*aT)<S#s`<_l_-AS9U1oyIe=F
z3q7%KcM=d(71%pW%-GKP%g5E9t=wmRPk!imV_jb*LU&IUYB6~@{NQx-17AOFDt0L&
zn&a06_!V@Wh4!5ovuvm1x}0SU<5r*7xp$#h_)Wwh4qKbPU!@c^3XfTs0fC)rx%{m2
z<)zUbB>XdXkrUl+3v13#KiN*Q&aM~KSQyGlLw@XDAJ||UQs|z~W_9l6rwCyICX(zY
zv}P2sN01%OAJ6F}(o5?j+-7N-pM@g}5{=B%DiyiLC8st}IzMYTUk_GRy;Uqlikrs%
z3;{xHOf_{=@P*;BBYZFPW1(q@pUuEE8=F&WCv5o1Bnbs?8$R2+&rpFKk@nYJqbHLP
z=r^}4FwVWbQn_EBi?8I%!D!IH_Pus?s44sY+${G42co5Xk_L^eg(7)giW(7Cfn`in
zTZ6l~+nvVn-XF(wdLDRL>J7a-%ieZ1JDmK(lB9>u-L=uh^2=p>)3FlAoTjqUo}oNf
zF8NjJG}qhmD!FQwe#u$xeet!pq{ut2h@vvf+`i%FXkXO!kj?<i2_Ri6`TxrjsN2c@
zP!^J>xz%gUp-+{VBNz&4bY3GcjlLhesHBt2FJN9{r+n|czHSzT!d>OUbhdU)3jEo6
zI3w<CWD5n2kioo8!U*q3_(k-u)3}H3Fktvt3da@f5d<Wt*acD?Sd1Nwj!H^Y7Rz>U
z-lWNMxyHuju!t$Gwx}^+TSD^j1Q=n2*f15Rmuu1Yi06m@@Z58BI*;Nd+9k=5epwuc
ze8D0nG@Wp}>0h6@C#<o_r1qAUR>rZOIkk>$eb|olXh9(0^@_h=xv;v}Ot|X6Nn|D7
z@me1RWkXEPNKD6mj{S4XU>dK<_m<;2pvJx@M+G|#-0F3YP1w*HwD^y*t79!S<91X(
zbeob?qQB-5`j&gLeQjOUeT2K%3w<2YhT_L-KI1?de3KSI_Dd>20-<)%gd%Ol@+P}e
zNko>7`-#gZ8x~K>cN8low?a`O8>vu2fprlo&Uj0-_~xI=sFM!zoN<&>;$R^$$wbc@
z;Mvc-VeI?w7dX#LEtKT21UJ8~v}Vu|e9>B?Nn?_i*Vm+z$~_!%SXhd~kaP1U#(8}7
zENPm=GJhKrY-IlZVjau=2PLL;Af2jQqW5PWyR{F3(;MbFKQybI&g%qa!+6jl7jtLw
z4xN$dW^X8ISFZ3x3kQjn*DK5~``}gou&LfVqL}Bl2gI$FY#IN8BeV03xj>M3F_nOQ
zo?u2CuYZ)%uVYb5|4G^AH3~5a`PDUWm1e@TgH475_2>lb(XT1WCVE<JtK^3G{M{JK
zMCwTm=Zo)RF0h#mtZvvLK;|>rk8Yipiz%huy~&}^X+2n+ZaTq<8=f&j4)dVY?rJ7w
zXlRtv*QTr>ksQXGq#ZG2+y+r`JqR2)v^!0_5Sor1jr`w3Q#O{|9PT<m6f~ruhBj{M
z%e@&1KQQg8h*^83-2`H92fW#ic?fMZxlKn$v|}}?h48+*ZjVu`hwuy2rMQ@Ntaaeh
z<+B{Fuyr>3A3Qclh(@6n3uj09v1F|tM%ITx*ECHPI2FzlQGYs0B<CM$^jb77jI44+
z?N260x}EwypHEX$Q-K7)+5N_n+3>vPlA8nA=dvH!s=>q}QrO({Tx5qWdWo2$*Mc;U
zMjcHv>>IcJW8qGG2IMWm*Fu(>Q+uAwWx384mg=#+dq6$$8Vm}iW8PUN0D|_v3KyJW
zrSrnNyCmB{JQtw@w-XvQ)c|X3ekD6?L7aEmYa6st)v5I^03%&*w?p7kZ?oa?dNtTK
zSX^;I5fSX<S$$vgZq^9?+4JSW70KOCSfN<oms?(2-D<ycRAE}+V*J1yoEylq117Ry
zek06t3*qG$>gwu3$#Sitdk)MlIj)#!PI!-s`m(C#|L+H^ELUzA|9Knt-ik)h$|>X)
zKa<<h2v2gFEqaIzRv6s?Dl+m}Mza&{c|4wk|2#90jZQ@WyekdOw!-DJF0L$g*wO(P
zOeoKSH{TS>y%Vg)Fx3QxqzS$rHcIq&bLkFYns{5cN`IA|YOdG>d(7Mp<EO_eGst+Y
z1;^)stk2Bn6P(&><DBnA^Q}5QYelxo;an^R;X0!kXwbxC+2C|9V#>t7M@pqGnX2Cp
z7?4^#ncEFZvLKs6;eI28tbJ<OJ+O%7#nD;I9{$gRz?*`C)TjwRqk26yKW!d`f^uWn
zvkUF~3PY){#6x$_{X>(WPl7LUrlun>5rrLe0wBaEhLZGKmwHNmVg+PSogy-R;!Q@5
z6t@lmp&z|haV-{EgfNB$60jcDU5VR2i*tZ7HxEPIp)R)iMugKf_m9h}l-?mAIJ!)r
zMh!_14i5SvhxNR}AW)lkbXaczV=WrEju%9O(+oXy1$cPwNe|Z0gJTfi(8(4X>{t1A
zc!bC)SA%<HliDtm<XMlJc9Y~+f|(?D)xIn)ROoL&tm3Om5E_(`e6Vys_v|jM6gXPF
ze4Y?EGtBL$C;cEn3G7-XmvqxYy!gxvUszL2)^)(=yUrh=SG?MiH#OEZyY}NaUPWMg
zdJUYl_gizd@U|Von?6~gY{TJ&WhC*nV=YoU@fQ|61z{r-D3M;w9CF8dKRN5K@;Ywv
z-rjZc^z8;8xJ=*(CY(#eu``WtpA-M<atL+MLGzAyTWDJf>=Xo#0%GX%Z&j~ef|uGc
zOK*P0cEaQeUUvnOr&R>-mG3%?j02cVV5&nn;&;SDXW)$ef8;_~#9$!qT^G)E=Z@%?
z;g7Ii(DS&jgrSNg0|pG<SZCiM?lIu*9ED0e{t33g;`RS<4}QFH4bI)`OFp+qS!#6L
za2M%}v?C=Xe01s6f8*rgS*j={Yd@)MJx5R~R&6#PO^uN-qx%puq^|)EiCK?`^mDPY
zI?RSLzVE^NZQOAHoLc~>7hSkbUUNebIG6$weh-5{%0V7HvOl@s6+WNL^<i<w^Bc-P
z(PNrNGFmUREte6_pCpE*I%AXY%j#=k;b`R3XV+U7t%>Q4hIo|47%@_&<(d8BQWIwN
zf7!Ui49t285BTJ&Z#s5t;_T_5xKkNpYo*IIE|F2s_-Ch5MU+cQCX$f${fG?(ZR@f#
zB(kCMMPnqhZojJVqNa18-p=i3n^M_wQC}tOZ(&{aq?N*3v}fU}XD(k)Q1g!i$5>rb
zT+agw=S6&uai7b|09UY?B9fq*FiIA>0y@qsPafT=*eT`OQ)U2<nEj%?2&xw*#nvMe
zoy#VNAJ+Y3_#R};>kS7y8Ned1E@gszkMf0u0^_l@t8-H4PnuJ^6i)_^Vet<5qfnw6
zfn(X*^Az#L1~f4cGABrW;kuHKPfuj>_x>PmPEO9USNA-Xdu)^Y6*7Z>hrO7yZuFo?
zKYa-yK_Q{nCFW6&tRbNq=BF5os=#fm+~SgBx8}rzzjN&q7wu<37H!GQtE2aadL;a9
zq#D!{DP2tU$JHCbLNQm?u{NkfAK-SEHuh}#^Sl&Yq#bICwWqIoiQL?plxOwQ`grO3
z7a|*gfXJp~vA0j!W!1oY%P4*$CTeVZ_w>qTp;^=9OFX{qki~@JRiZe~s_f2ruH`%(
zK(6iR5x#WNt|Bj)RVIr$&THB#;mp|FgB{N`<rC)x;f>p7qG2?k?!WuI!XI|0l=#&*
zhB{0rZpS!LrqZ<?_F_9p9(PWD65rKDXH5|8Uv=htg1s60sB}ode|Dj>^ga2ftX###
z$&E;0?}_o|bQ-6M*tN$>CStoLv`eVjDM_frrP_5DBnTa95(YW6MK;$;hYq@u?)F|#
zmk%il9MWazTD}wfFGaymHH;0KE9KKigVX{aJvp1Ns{Nnt7@ep@Skrv>#vph-ypURP
zaq)}Rm%G)2ju7F9v(?6g^QCHWkMlKNW41T4xj+xc)du^cQT(;e8zN*!in13O`JMQ!
z7rf$9^{SCRuWyftxin_hq!;jJ$ao}(XKMt*h8L25<S?ulA5wjO;-Q=N9vsf?{%e_i
zJ*6gfHTC#4qAN5P7ra&Yd`Z8aEkmX{eoJKC%29WoJT|o1-*pq3D!Jo&;(f7L%f??0
z@|l+FSFMm5-*NC0mU(v^AJwkDlbBD?+;e~RYBx=-jj6-dr2XOG(dvS^)}dE$rhcCS
zxc5}OJL!)~t|zngN8dvo4qE4P0rzw6wQkfvm;?u_Ms|w_oi#%!VDIsnyM1XNe0pz)
zovsSjHne&4ZssvC3lkPRg9cz87Uu#xqE+PY!Sa^`gX+*7iZY)Yu?R6|g^U928T_K0
z%G~nI2`kIro=x{JNS=QZjItT+I{%y(=ixg7je!p091uPvrj6H5WI4254Lm8EwT2~y
z2b&fY6vQ}aunnDOIxJ=cmK45{)oCqD)(ePfjn?VmvcwH~U8q)&pOdS$p(G-&6ngge
zZNY(mV(X#H6E8wN_ucE2rYJ>ir=QnrGGKGS!NUpay_4-Lv9;%CUO%}=<5~VS#I(HB
zX|6l5h+k{Ke9k%-+f??Gj6z;;Cjx6`ZalUXvl&Ulw1*1~DNAozl~FQs&dOex=i&gm
zu)a+!vro3st;)Zv-h&u3@i&;tu-g5{IoOwaqDqqv*6w+tEbR^k-!wI{e?6?G$##rj
z60^-R{)%8U!SI{^t5WYxS<p@Dm)xq{t7qBJ-79WHK`-qYxXa8?q@~}2wqXg-J!$6`
z^SN&fwR9b}eq(l7ZFre>XLTB#PaDwWl)eXg$`a@AROaP@68G6ReL?nj>14U^%bk7W
z`a*fb?TpuDD#9};6I4{c`w$&iMova84`Jt3ogbM)RCR0YyAr4TWSFyMwWFblPc&g&
zl)s&iX`hV%#i?len|ARVwcD-6&zusk$Ief!*fG?yVewq(7?KGX&W`)+AuOXF69efq
z=FXmp@lma9xZsT$J@?qFUas%{60)XiMWh_PoauWmg;Z2g`I>sG5LxWW%nz#L#3>~X
z2B(LIgo)JJLZB^K;>E*b?;v^*dHlxiH>L$LM<Ua)k(#Df8DN0oEm)?uwX7^E_PzON
z0#l<smsYiRNV0$h_TSXnynehk3?&_OOm~e5!}|696wauw%l^ky3}ofeWdoCV@T(vW
z&!5+|>LwzNOhno1H>2Z_PjuQP8pqD8&sE=l9~~N;L=BnDQ#Fr#{xadN3<Le!5@e_{
z{Oyn6nRS|!>TSBk#Tlr*)!ohQhhD|P>DgvC8yc)QY4{<@bB)<iy+SNljUo3S#y)~N
zH@B~uFgj^I>vxfkT#*dds6;+ywjd<Nl~iOD7++|yR|TBczJIs_1|t3XBiREKn(MF{
z8*8k5HYf+3p=KgeCDxeMS{BN4P;tWQBbW9a*_6%RC$tM=w*Cc~8x~V)S;;<z?>6<6
zY9)P1nr&h!3wJM-MK4W@%75g}ifNOue;5ROr8s~GXFBvRsAdyyY|b3Z3;5aPtrD81
z=Ju~I|LY_6zaoJ+2FGS#AS}}X8@<zT7n)uCKi6a2ssl0$+AUl|UEay3{2GIv)ZhJF
z6n=p6daWlmD_CR<?dJo10{LJAR`TVz%qS9~cXf#xO58XS%bVg%MEq5%K08^<Y`cYR
zbBXr;eH&EMhx;|4d&Si-Ugd>&Xxi(o{Az4WYrW|3eSPOxAjseG+drhrN%xKwtgcK~
z;c?tlE=~=DImh4U9ag%FLInUtY4m(EOxmS;9&plmdrRmVaU!KW+@5Xp4Y6uJk3BLB
zkN;q`9T-f9Xpo9;N6)QM@ZI=6bl>s5*#k|}==Ql?OmwR-0U;#K;QAe8D15QxG3}&p
zN%sfsXYwR<2^Da0eyL2>kHP}iTx>nux$`8OB5?{z<8tzwJ`jP1CVicfY6g#fB8z~<
zrK>>Q&V6qZaN8c>w*TgN*J`+npF6x9sew%rPwTMnq4iHj<)>pHf4cC3nT|(0U+5v+
z>Ijz{p`ad=>iVq*u}0lk$~+7gtXf~(Mp!lksh~+#r@-E>2p*qxBSo3()cv)daz2o6
zRQ^Yp3IkT|5_c~BjNgA0n&X)&o4)#I{5FQ_Fs8?TJrHYDpYL><@UL9<^}RcNxG5<q
zagX8qzRn+Tx|L$L_RM?$_U6ecAJLQW?Xpjz#%x(QPo?Iz#WfkPA?BeQyaUClfFl*6
zIWM|VMAYbmvnoa&Zcz=6epE2l(~16orTki@@PoFn>Mav=Vq6PJEs9<qNXIgB_H2+G
zT<5<i_XfZ#gR4oilz_BHONOivD<;N>5B8Gzf4;})S|vdT$u*-&4DU%vnrV4wEg$Tn
zm~|l3p+-vPXC)cZ^1hS;&D2y3+Vsj};7`9kjJ*X_c}$mA@_!@6rs<~v0UKOT%i1Q}
z*q<@~kOY=4I>OXWm{a4Pmp8U}TG6ypybC6z<Z|<_^#m8=@n>VPqmUgMK{kXO<G@$)
zQSD>$yoZY&`D5XYcg%nFDWL*~s-v!$f&vAq#X0^^Vp!Xq?jGn?@d%oY^LolrKd`l)
z)`(^NeuE*7%|D!ZJRL-FSv2(Yx6f$|B-1hY#;tM(x_0bvP8yVFmEGM84_sjOP5nXF
zD&sQPr=W?`mJly{o{yH>F9MH8mVN=-&s+6@>iJuwZ<17{^fom`G_lM#i~RXHhGliQ
zH=;_%QErZ_s)LS9NLJSafoW<`|N3tw=5x?fKWvvfX(j(YxYlTjQ4#{rlE${+RX$kn
z@t(|4JHV!tBzHgZYh<#wsbl2&vaVNW_=gaZ35E$#>L`f^BXIpq-_vM1vmr_amRUXz
zhFZxq|6lp<RS)GJg6L~LR?`RevAWnXt%|y9Tmziu$>rG{aEG+icjwR(m7PLJ2F-oB
zVAErcv;{-{L7y0QG(YtFZp_oNpD{u0p*09ZK?7f(;l<Wh5->)@6;2SIKanVNh^158
zCxxY0SluEH(t<ZyH4w~|P-T;dZM;D2i$2yF9$e+zt~LEQjovr=e!jj>XCf5Q`MK>|
z;Y3nOckEp52iaUHr=CMKt@WHg7ZXDctWrsvk*Fx6H?P3Yl{ONow8a|E)4khfHkF33
z#mf4@0!n;^Q!6alwxRJ{>=oI(D}2Off<qbLoK#ji=gM*Z2Xobjc>cFA$F7dnI9>+k
z^U9!?Mn#+B4XM=i!9JbVc(mLK-37NE>iMyw`ysx8@Wq|_P&KKStYnz^<o5^LFM6TG
zs;5y&$gHLLr4p)P^(Um?CvtSI``w#%4V)5^4PJ>Ea2I9O4r!Ef$`acY^SvTL!C?~z
zUt)PhaXqzz0F+XR=uUe3*!i<cg|G)#TYyRL$!x-p?~wv<e!&I9>y95VGdV6sSll*j
z4|qE^?7adsU+_yqNu9^<-p<1pUl#?Q>}fato{c@q)rUhY)PCXJ&ptj0c5T2u9S@d)
z2eI@1oS&Smu1g=DJ+;$58H{y~8YKLT`#$k_QvZ0>fNArl75p~6i%%$t`sDB4dxGbD
zyRlodbJ|-D!@cIzOAmhY)NtQ1IFVF!!vN+3&!@YyK@y?*ETB!$Qb^j}2vWlEK4w^7
zf?s+mT0dSZlP&W+)F>(MMR%M@+;V;1^=iyztf$KNVw+?1u9?fzaB|3%nBIEuC_Bbt
z+>4_Z%PN}zB~r=hVc=m6GN`IiM3?qCYp$$}-j<iis5!~Zg$yh<bp#84vps!UO~<it
z_6!qnx`Al!xtrBr9L<@PMvw{_OGl9H$YUAm{j`A;4J!d7NpJ`P>(q>nLMkZkQgaH)
zCS^P83B2snb|FDcD_5$3&M@&wRFJZoZu~JaiIT+j$6dTal8$Pem2s`|f_;-VfGDLb
z#HUkx*F^f}t}b=XnfJxAqXNG10q9$^a8J?u=4ncVEnZt`I7l(_ZoANfCSj{!S)o{I
zs5z9~Hg1|xnrcmWx0h;Q$M1v}Em<XYnm<RUzj;AmF386!9~H#%y(7Q(jUOkpciDHf
z2FW8Xo_FFpF%Ld@{ydpJMLQZ>#JhHMYTNnQ@p=FD7v;4sl&1ec7E_54@@9KyKoMH`
z&+hK-RJo#S7EMLQl#$tp@Ngxci)i>}$3wb|!<77G<D`XvLUpX2*o0kt5{ERs)KZHa
zmtiW0P@awpuVF)|Po42Lyy&Ia`XqAf@6}^U$!n#N%;+b)yJLI||BS2_LHK*82VSdc
ztKY_*>R*hAYCi$S{}ALqpDFb%F<UlH*1A}j>7zD{xbeCF!f)CunN3_~RpF8gG}M~U
zpEZR-j(PS<CM;Uj!SHPtqLESCj9cLWDh!gyIR;7M^qYNDmC-SRJb&uzQlv@!^3OM(
z%)%jp@z-W)GSrkV!E(2&x8S!CIYV622@xPjqJbdM5-jU(^*N<_zbu>rdAaol>5rIJ
zF?YY(bOp|lB@DPcx5f%Z`&%S@)vq0i9750pbA@KiUldhu!5R32=Z8D|pNuq&As0$L
z6fl47R~s5!nxDx^`84UVS=Xyg2g|SFLqb9#+9BHKYt1(c$<DDiEeEOW=w!R>A-UwT
zfuJY@I0w{H_8e^+bDQ=$w^J<V!HVRHW2_k)?v!Y(gVJ4O=VEc(agbK~N4_j8Z$=on
zC~{mVgq1zbTq>hn@r{rRZDA)tU(Z)sCVi=abdLD`b)4I&_z=?9$U*y;kDC6!Z;s&U
z*U3#mM@FUR`h0>nk1h7SbqX&Hsef|h^3;C#y)NC1`=Ni>$v?u-51y2ePsYfX>!1-c
z_`QdzmNB-&@uygZntlR_u#B-#2%R93KK~$Q#Ine7lg)o$c=)Apt@WGsP&&sq;JIeb
zi|Lx<m~8|2wQ}oTJ8{Cq#Kg}qm-!X?jYgk2Id9qGE`*;id*70$T%T4*_>beN-@UxN
z5arW9Mo0c&N*O_MXm>xNV_j--xAko{c#SVbv(&wlUu|@(8mqR!l$<W{ciqk-q1m)0
zjaTs7dTfZb&ge+24mq$sXc5Geyg^4PFUpQh*q>saP4&Q_!(h!YRHGf0h=3eim0;nC
zvPR(QCGxz(6HU#tMrBBw(xag>tIGG>q#-oVTm~08vOWN9E-*jR^(%)D1h4M5`+|q=
zkk*&p*oS8}EKjF+SK1vC`kYaZxyY~V5#tAloR7m2#d+r}lN@mjcGK~lH5d~qDIZ`m
zM#YJ#FoPNA7%9#z2#WEdOy{1yS-jd~N>=^oV0k-^sxpV5ZuB}d5!6yMpXa~<U7KzS
zbGI$P-s)uh*6w$1Q`dA{X>mW<k74V$&urWXXti~8BvYC1gcdTS#|Ew2t<pyup$W)p
z$|mg=bs4klRimPzH54Cv2H!~b4LS=5@$m309+%aO1#JjksV*))!c}M(lSiQ6TKhtJ
zlh_nK8+zK*h|@}aw#oq9OI^)soMM8bfDXCzFb~$-?>G{xt{r6<kEmszsR>cmMa3@6
z1!+K<yrNzf*FPKdT4iHoG^*@*-h*Ge3oJkX4%BAogCLa8tMUJ|06FE>U^!m5UyF^N
zq)z?Y_%h$*LWibx^vie#q%p^96t)ZH<mKaM==DmZF#E-95hO4$CCTHDKC;N7>8*Sp
zcBWU%he;YOsF$M_TK#p2d36Lugz##Z{e<6&!oRt@0L!)S_Qe^3Z4P*wdNhq!9J>Wh
z>t3op<3Df}<-BPp9(pry-TNTBv97VvvMVik)Z=vN%H4wY!^sTiiyiS`6+9#5^@GL9
z`}gk+&a+lkjRn;3_|is6@QI0Up(w9o^YZfEvYIPObEqf}7V${_n6E=t)pH$u%VOxN
zrc23oFS~1HFo*W&IOA=LDSu9?{<NVhE6Om(qE!1;Q~-y4j07@`OQ1I6qEmgJE%<$R
zUl4|&P6WGq%Y?HGdFZC72Lc2S2k1uW?pz?i@Qdl#H{CTs^O6mY2ZYK-a|2D|;iWAw
zA8$jvL0<kuKM&ouze2^fjP0*E>NK*Vda9Wb4OPbZ51#xjP{H)?tWT}zqyrl~eob`u
z;ah#qwiEd-GrXemCP4Sd`AF+{eYMZ+I>};6x8;NHy7ITl7Z_V@#~60!$Vk5catY=!
z)-PC>?>2Xso|k(DUJqiL7AXZtohu?kGmDRH>9O)(J4G~h4qdD-qGXfMw&?{ezH(hi
zl6n7yqI7ek>R+HGE8={5To`6g$A`a2JnD4*QG@r!yUpdeofB9WUde7zl0DYM-`MeL
z$>ZKxM5){_%RQt^j-jMRj&;DevT_y4ggaQL*BUgvrG$N`2fGb-AjX?Tl`&{26+SJ;
z&~_jm!HyxS39YJ{3*Fj&3H`|v0g~`Wx0b^SIRYk9TU<|;bHdpl|6E`oi&ZJ?U6m7P
z|0eO!dg6#r<zk+MJc)m~-n43!=aM#V$8&07nf5`9$k|Wfn>LW-Onbd$U8Y=d$2)&p
za(c~+r$UoTq2<-v96|?&YtDy2N|24sAQQ%P3IkSv6k|&xvelK}@}{}(s%YXtxSK|B
zWuac#<spfBIPo#PgVPxUi;5(Pjj@8{8)F}bwCZGRE3z)KH4X_su|qj;1f_{#6~$e2
zXoL-c8(U60<0JQJ&T|_LaV$IC&~_zIg)(X|Q2|bNY-ak=t^@KpbFaI%vCk3<kRi|-
zUlxzBi%*vpA!5iNGt)O`n*Y-EQluQ(6W?j5z>0FU(vuu9uhWX6k#Cf}=&JHj+!zPx
zZ*=~k1N0z&3K1N=p_+0)ENmJkA}+Gc?88vx_0j5Z<9HbJ1ic}dmjw4dp$V>$F{+;q
zjUpn0l=IYrN3b)BA|Y19cq+{*GHfE?z^T<chiMjmfi>AAzii)5uP;9<gV+bkng8`H
zoR(_-|HLZ$yDO{LhI4N^w)H=3aN48>+l)uyM0ViU0>QfeRvAIAANsA5c4T09l*FPU
z&PfYv5oBG8U87uw>t|Lw6XHT9jkaq!2GZ4&q#Z?SO$MYFCo{|hZ+-@iWO1x=uj$;p
zS|y3XZS&mnVd0TFzi+0j^Av^n6i!7;Va(ZVa{Sq*%x_Aj_sJhPXTfY1PGNpY0#2QD
zqB-Aknf2dVKLTql7m&Xs1eVHV;rshAVz>r@A&%EiQG}=?hO5pZ^Ulo5>a;W*)Jkdc
zjSFww$gr@ZL!<-B@Z>v>C`NZbQQwg^z=EL4`+Xb0cRgO_;0=YmRn$i>UR{9)JC07o
zJ&0&;tmP8seBW1dqn)%I1><w<dqxujaT2B#x&2p3pMR$M-O(||(V<-7(h8NcU+}<m
z8BK}d<UltaOaBo-d&*h@84br0$p~1Z1<hIWp6xdHqF!rta>yi))4guho|qxXjAL|n
z!m8`h$HlV+B9={jwDpmHt4vofH@nHG;JwTCZoy2ec^2rE#Lj0xSKcigSZj2%pyr;v
z*^!_gq3!haRxQ`4*e^F##cr}A3J+=!<KUXks9#g_J217lVQSd0zd^Ea8JyMGd+tSz
zJkF?iVhMB-5ot6@KCbCXAzKU{ltjyz`^mp0ot{UN8~CPL8UI?SjQ>I~9cLec`)1(x
zNTFEP%NHO6lz?CASV*en#bWhqfA8GHJqIMPKKNXGF4ck(O$v`<tihH-qcrWcs(?}b
zwtFqp0o6?0r<&Ph6?51Uad`5^XkY<;h-3eg+s^M<Vpc^r-chEWOwfy-TV)!-P0zXp
zE=?8xqA5sdYN=$!;9@7%?JJ|+*FP?;X2zfp`%9OF`A<C+6&v+1MKdubT{T~txB-T<
zFqKh9Pq_U_>H#GXZOH$!VRQ{#6`&le-EOc9xL~=^zG9;)TQ8V*iK|YGy#CSa%ULm>
zT+czP8RB!XN{gj7$M}8WI}hK=C`Cp0R)|$S3~O+ML!mE;TNMfok<Wx!%K}9|Zsb?G
zCgUVfYKTG8!x~N#B5?bf^QRd|9j&%phQHkGtr5`Is^r8DshQZg__*~>Q*_VPnP5xy
z79;(p73-|^3m8CP;NyxS6^hgvHNhlLR3U0FYA20Y6qiPKyCcuG&8twSPK$}mzo8L+
zz&TL`SWgz6H7<*O&gMN6AhDOrIlgNN&h8?id(gqP*gZFl6$0<LrP5{3#5^KOf7_;(
z&zt(hpI8RovZ>4y2w{vRg#laX<6#cwNnIR@PQ7Qq&MQC}-V?9dpxPrj29F`L<XJlE
z!Ows5@=mtx{43r{>d98%NoMqb0_bRHw2aqC-mGP%FJ85M9y?@ch22Xb`E^uoQJBfQ
z$D-QDkVUwuWh%NEMuph$dA=5+<D3vB#jZXtnUA|D-_2#Psj_W<E#Yogx^AiFiW+Sr
zUc>kKc0YlWjy|`LwI(F~c|{E1DNsrPL=ynN1rWQ6<C^0uK+@5*|G$zm;o-p=FaI>0
zOZ(2vO>f3Wsr+I?7x=@|pX{70D7~{;DB`nz?@S}6^-}%@aFc)ZK&()pc)$e^@&*sx
z+MI47aXPy1GxQk@Fa%2IJIm*TFZ{f2qf5vJ@Bmv^)3S43hr(TzJoiGy8qk2Pe_dA>
zR%y%%L$_HkM5l6yDpdj8T5QekOhiwQ7gN2=-0jp!=lD?QvCY;#{j7aC*Lc?1pYOAB
z{4aHLwhYBz0zqkxJ9Y0ron8r3y1tFTatk(5E&_2{THRy|B!J)lwSxO@&OV%8(5%lX
zbaE^&?^yMyWMgqxdt<wl#Lz*^oL==>l5$wZ7BW9V!^;uPxNfJYB6)xcs`{yb&Pn{+
zB9lT~L6Phfvw{`7A&l6cMNQ47h^03e$lCP~vN0+kJ~+9JY9&I*rQQ~n#WrS^WtFam
z-_8o1#&qE%P^l2{M%GNg*3YX5DF{?!AP#_2RJXd2nqkz-k%+dRS`nSiw4JTtjP0RU
z7A=CCKd!!DBACz=rBliNu*W2nq^!1&AW&CO=ZE(%`TT#3dIXH}F?MTEdBCOgpKT}T
zqxpbjMw)#-50wWeuD>`<?O;uuO&s!-NzE=-kYLr#lw029R;BnM)BFRk$ai`^KIbsy
zX=cv9{k{URHI@gaP_|0|w^Y^S`?@J5Tbr=C#<rDDndpis83cPV&5U}&i%>z57vOE0
zL{X6!fllcRvo84YS*D4halhOt#GymDy)@<HHKly-l*yus^13BhcSkTknokuQP<GX5
zPgVIY4d)C~Gzl6uoB+Z<Kv+=UWUHW_y2%BY*22?H*f#5f5HQ*Ord7yuqTi|_vC`Tz
zRX@Nj9iFEbKEd^!iSwvk{t$!R<s-GHrg*_;;~+nFPKQ5qe?-K_YiFqSvXP^{2pl)(
zwsSigEVyzHWF0FFHk~Xr?MYI$p=@1=#D8RWFMdzZKjo^GOk@d@yklieyuz1g04?Z7
zJ|}TuH0akpRQCyfC!#m5u2AH#Kb2TNhfc9~S1iRvMnJ+@hVTA;pW?3oGEkr~l{a0h
zLyIp#WelJ=1KMXqpdfO(3>x?UE8cYDIoTICz8(z>ZK{_DT_<iwaKoQ60#eG*&z6rU
z9BL7Pz}>Pd&D&aAKw>%ja3I!RLyy+(m5n01T}f(nfh<Vv6q$Te=owQ}^7b<7{RpJH
z9sys+$F}q4qp$9-1eA|YUc#Z5#>E!VV%{zTv|t|n3u{_uOxh-illJcYpJjivLaH$&
zkb0w5`NhZLl6~G+3cEb0B)1pv_nk7M4#(3=8O$*@Z+rI*yY`)I)H-h_?KOP_o}vKI
z2DNbiMa)3fqkyl&WATO|pEQ>bRX#dOe#XKVw<b_i_VoApWi}G;JS|Bk^FH4`Nh@0f
z>gK8RILiIwGxGk=w?m=!F!_-OXEo091KuxbtVaX@!86=&vVZaP<k6uF0X>)bY$z&Y
zZK>ba_3XmwWu#{dUUq=i%eR!vk90RP2Q*Oyhd9M!Du!+mk+~tcR%%wF{4HXqm73kW
z*lZc2c!fnpne+ikJP)oDtB>i@uE&7;r~&zUKUDYI;=e@3<)94cOHKJSTc`e93tj1!
z)+77eCw>$dw=}7zM=mkg(7`OvtJY@?W;`a|b&*LzL0$DGY@97DLX{OmLJ&RX8g<&<
zH9jIr|90TXdL;`izeL1;{soP((I!<Z9X~A51U313Zl^3pg+f7x;4zWpCw6U#9J~z<
zwUQVM_~@GF#yawbUPceTO2!=Xx}thlf5rLy>%mMTbN|1a$^M({CI9}fPOhAG+9x4+
zv@I$R*uuT3+i>BNiARv3aUf~i<|&9*5ZaspNl3i@n->{jUGt+Ej)R3^E$v)yACDeN
zvTCvG=GQvVjrR9%xBJqEL_BQ@mJWdbO^Wl&t<+x7<S$DP&9JkieIoIe;BD$8^#zLG
zm>dDQg3iw(>F^JepSXf4t@7ZhGlYjX1%V<Tf!4Kzcq}M^)(;)6RdzTes`0^DwKdw8
z1JI?izDNSP)c-&U_*&Topr-;S2L}h^@f;YT3*ZfDfVB?Rq{G9*U+qhT%)WftM4D(O
z3huC}Z`oSVcNBE{bjO}B>pT+`#_M^>i1*Z~X7vYDhN~HgRcLEZ-}zAyN3e<Q_B;-=
z(3M5v{2mEZ{;nWmiW$~fCh3>+Hxc|wtujj8=*NPBgSm&yrV9((!;IO){`JkVxYh&5
z=AoiTBX=K$rrIEb`&qd}15!R8v27C@;^BG`>BUojVy}-1&~x>;NxMrF193K*`24Yt
zr$eFX8N1(YaAuI_)GkdLJh6|P5yZwl9-_LqRbCvGZ#D1E@4G)4Vwk38_OEySZ>oq^
zzJpFTuR9Yzkuex`UL2j5YCf-^VserISWyq~yfz&Gy0$`lbwt_`5E1zf1E7OJvq3<0
zX@Kj=LPc)d{dSD8=Q!8mJ=RO?C~GUTgQH_0-sKaWE13l;`e_rW7i_oYQ!jHT`iq=A
zqv#_$A#Eg&T7YQ6Gms)$@0-MD)$j?V+NH0<K2qrGiT|dZlG{6+;zAtW_BrEFU8Zb*
z0m=K|v^qYWs^vDY(*eR-*sjXV^SetIDAGVl^yCy#=X3k69f0X&q$!-jl-t&jx8fxW
zhb2?Zje3ze8|2+~stAuqi%>DNL&btA(lq;uU7^)Ggp9b_>hmn97C3{HpCFw-SfYY;
z!DL5#pUC$%c-pZiwVxd}l&&5DJndfy@&IZ9Lf3~~kE+MMol2ciWArw=hlC;g+PS;4
zRZo&BHp)x@1?^b7To49e764tAzGykAd<uqS54|?pExRN}p2B^_@Qx`BxHLQMWu5}%
zDbqi*5H&tSPjtRdxdGUJ0urDW<fT<M6(Fs9)8$!x^x>iQjHv+cI&dkdsFo?8<4Q(`
zE{FFwPhF0y)oDq#;|=fTx|zQHSz2v@Zct`Ep!sOg3=k!?&-XFCUG9&C_KO@s4?b6I
zX)|7FEi#4mB-!|qv{EWynQ9~4!9`zx#lfxLuFwpzBvKmF4e=kR&8;zMr4u<(qr&LX
zY6l0wIaWfbSk@NS>3%Yzs);<q!L%8Ve_|$I6FY*dtQZ|PgEL7Dno-QhqJZLU0er`p
zwL&1bT3)BR6>X;kMEic_Co%$ZuV!S$>=sx5ls_m2@TWwCge~s-PhnzP>Y-b<fld#5
zX;r+5lOGZtV}||!N;tAi^X2&Ddh}X)246>?wDXQ;?d;d``||P>1~)I^*aWc(T-sEX
zW7PEl!uDEgZ^qjNMVF}+0-KDu_YojerSH_}XSTmAVcpy!;GBH9-73Tvvcj<S#7htl
z^ol%PvO2o?wNK^nYx|hbGrV8E_@=aTzZFGyL^D4zU{NvD*QnVcJ%mQ7^7wsVNh2RW
z9)=HNwr%0h&JgiOe)uZ$>4*GBUQCBy{p?9>l<OyXz9hhWsgK|m>cwm*D8rh-7f~#2
z%N6ND*{_vI&-iVXncdiI7A3bPDQzgd9~dI`|AA3dfG1_dkYFcUO-Q@7nKT2_tQNN9
zEJyt-iQ*@>e=sHtH_Wa}vv$sqCC@>C2cSUn2hhDIVh)`0F`+S}755v6zt17@^l1Rl
zYY~d0Uq~~l2jw46>lNkEUD&DRyjRv+5#^+gnq}rRN)`YHj^2$7|7;0o!J}1-9ID9U
z{u%yXb}Ns2wEFn2asXY4yW5d1ehiK)Jo2pP<dwBn>zB+^GpmO&jWF58knoS}taq7x
zvQuNFK&)$sFzf3>ObXlTpP4~6v?b3m6|tzqcc|NoF`-nbQei3BmO!Zx+x@D_iW}z%
z&?dIaOK)mEY{I^}RWa;zK(^8S$6)A0h0l+)Kbw-NH+g|lBqnw9dVyI)V9UxnB{0{r
zeKi;_YG^d5Q|B~d4S<IsY_C(P0c88CUYi@}-b+KjyR~C10wo6YBqTI@Kh~6B?jF!D
zR+1{(nn-OMpq1j(X}wdWmJ>^W_ssI`7dwRB5>$wvKLI1>FW(%ITplx4?Q~T6eI1@$
zO)ml_Y34Ohw(&Gd<$aDklXlspQGU`LMO{8&%(v3;r>{mPrEvWVRNOsKGU}W+GD)F}
zgW^e|hS)ZFjUJ?L_*o*p+)3UVe|o5YVikPg?JFymf%D1XgIENc%#oya1ZQ{b3-^RH
z3jB@L9!&qInZcdduH^02MF(lhZQ&U9?-FD#;2!w>`dWk+%c}^m0u``_P#+T8T`TA)
zJz<NFX#n|EjMm}hSjk}rN$$*(N9Cf6J**RK{PYnVD^|fT#qd&duo0RnX6k5>%0f49
zT@gwC&I_A+-M~+5{X`ywZL#$ldT6|;n}^Qdjlv-ZI_U5Ici?9rHquL9hgWfX`v+dd
z2XoE0ubL0A;2*!~4lp>Wp$4Rm3mA@_XBTa=29b*MQy4V3)--HwKXE*>6W(DpPhpKq
zMj|FnQmKBEn!ZKl>$VjQt;NVG9?GP4=AP!iEZ=Kk9$@~_Z&+)E>p4y^2IvgG;*~R9
z&)uvX_`S7k`HwhTP5=ikRisujIPa_U+nSGW(TCDSCjqU~5q95TF^l4E!$V|C@)qru
ze-MH5CSm?sqj-3A8i)34=5Hats7Mt11snPU^6g(ArK>gyh!z7EI>Yl3#}6pVL~Z$#
zm_)3JS(GVsj|&@jDA@D|mi^TS)pBdt<-391HxXVkg6~i_CQORUq|?j?22grJ8!j!T
zp&=)FTP(@q+zwG%l`=|D!M50Gmgla7>1l=V<er#IFt)WZ7Ogjgv?3+31T*7zu`<av
zl)b2Tw0OrhxBZK$-gTgwaDb^+R==TZ50G3qzW)z$#!RI0^aRwsS*TE&*%<*j=DH|l
zZQZ`ZG-(D10-ejg))@{>5RmWB^mLu&5WQ@G<MQ-r@Q(srNA&-xLQhuK=qa>n7Q@f@
z9i1OpC8{MpA5pPG%^7g8>_62MPwq@=jyZ#^hk1A?b<J{kZvvDBjnyL(70r%eQ1+zm
zZ&&X9P(a5EC~%{$d~>fX9cD>vHNkP4(G(LFR`u^A(8&97`<g$<`iDO<-+sapb#3<c
zapb%^v+`nvk;SAPo_lYAzf0FlNeyrIXpyPh+p;Yo8T~B~y=YjzzUuAlwBw<5)Jrzj
zdgMP@iE=DpJni3q5M?d0_eDY-$H?CG8iyH|%&gly<WPIw`AgF>mEx?z!B6Hf&RRj!
z$$0MK$C!Rgf_g$e-tc$<m|paP0tAZD9_B8v3o2zzq|tkh$T{2GqP*$T-j6&#b3$3%
z@T7<*Q$f&^-XVcabCz~vQ9xWddmb6=y!dmsi}!cpf+OHit)Vq#Y!7#N_=HHM1T;pz
zn<El_EgZuMw4@~<98NrQ^Vz>2$aG_|m+1(KhOIJ@sj(nu#mzrJKIgFW+qy|Ty^Yf)
zk7>pAOp6CBdaNb=$5kOm4e9i5XMr0e3whQN-6m2}pPEuv4L#Svzr8^qcssokQ{IZx
z<~?D-zFY7H^G^q<-6e}s2mo7ctK?F?O1%9|Cw;^X8(#SRCKBZ;lLw!jAyL?os*N%H
zns9g586#-C0fmL2bpITy3xn&KS=01nwdQ&Ar~X27RWm}E>K?D8bkiUmO1+2d`M7qf
z7v-3S6pt{F2otGv&>^izI+q`sxXw+aB3i9%V+=(WDNKeEA`#i~%m1Zw@O)-)^DdkO
zzt)fW{Ij_;WcqKDt&-_N2ryJ=<x$I`aS7zsT3BcNHbgy%V}m&V)O3K1zqD9d79R4H
z%De<mes@8NqEeYE_sJS?NS@$0o-Wr?z8Xn1ag=bTf0$Z`=fU&2^{5g@mULpLR4Rnv
zL1tT*2^;ncful+7KR+2cUB1EuKe|SO=s;yw?c8`GsiH-IoQTy&&$cFcN1-+ERmMeB
zLhRICHL_h5lXh%u@B3G#CVYd??H(aX6;071@$a2Z{`MRDYj{HDC2S$=<3LL`+5?0$
z@b=<=Mi4nPnPB51sLaQ?RsioINCE`SIv{AZWODPeaKAYPE$8_zWS>!>_AZLd66%eL
z!E)WG*lHm=<`h;zWQs5|dYY+!ct>s*^v)X)(>4`rPFIUtRqz=mGym}TfY%IyF7n)r
zkPjRgAkGESTKReB1KPU(O&F<BevgqVJZf(Qm%R9?M%c)lv%}wU1wJd8Pla66(PD~2
z^f`t$fAo;hbLY$UWZKgR^0MOT$(6RgM&&y;cf2-!4V2F?2hb{JrkK`!PE#7f2`6<;
zHbmh`O|qxwHYPrjZH`VbI+L5uK>Ch4#zT2&hm>Y6^r>A-(s2<K=;=iJ_HfL4vn66#
zJU@ZxnTFwsZO8dL40xqE+4Q^qXj?npZ*MZfzW`fN{hck;=sl{N4U7#=SJ;3%D_K&9
zSMhw0U2g^jNLbVtLBRZt`EKKy444oH#`=Lm?T{nL-}&nj{%rL*CVv`L1Wz}d50AEE
zOf5Y_LT?4PVURgw2Cg)E7bWjNhid)}KwlG*PAky_-r74MU&mt&Y%prRGpdON@qT(2
zn&!YU^=T<`r0D(9p7rOQ3Q3|&QpnG0!9j7dIimrG#xrNrk4C@RH{m_&p*1zNWP5_X
zbS=SRe$p}eAcjLDYF$!lK=mmV65#oI-#!#OHo}ZUNtIUm#7n376Nin`xQ)v2WxM04
z6%W^9S}R?ZMitG4mpZ=JHCgFC8)S)u0QF7<lIim0TA1;%)3xQ5VpYiQv2VNbh#T1S
z8k6NWCWG3YqIB2EHXrJ@jJS^Ihr{}B&wU=bW$YGQ7!MVvtK79psb>wV4x`Xj<MA)O
zECO7vybo!nWH<FkG9+(Y%$!KQ<SQ)cxw`(RKK-c26xQPYLUrs+=oV3{q%p2T+XCC$
zAKkuQXnt(NW9(HS2-|8O8Zs*6L{yE9jQo*5sY0S0Y?ZxXqhJiUwf_Fxu(DN_FYCQ0
z)lA>hC8R|9*flTzw4{)sWiH5rsjiEmVtK2Q)M7Hff`&TU#0p#LF06^42Qz>a6!ZQ}
z6uAgMteVqWz8$(#KBlRWc%{Q)Ij+q?92Ew(E0;e36`2*_4tlv!ank)>0~)6nxu_lt
zg`?)uN2f_V*RB$}5Q1SN&`4U$&vp_7@0KzVhpUVQ0cv!)J^}a`3vzLR(ShF|*ML`l
zTK-(n*?BZZB)pX`{Fa=)$&2PjLRng_)lFbGtmS91Q=Tn)H#Q!Mi`xH5jlRl9*RZre
z9;`CW&q?T$IGmAH;ksq}>)ZPa(QRUKM4l2QYK_53(=l8iIW^3Qllk;4Dn0)wZIciP
zWR6B4^WYrIl_o;Lb0E?Zo7bKRek7jJ5t01$31&JYApoV;YDUxr9)CSzH)gr-{`9I`
z63rPc974V)x1blHvP>&>mtfmJOeXLCER@6h@U6ob&s7o_SsMOzDKWY+;Uv=i?N@?<
z`A)t43CY_FSqbbGbn;2NU}s|Gvg0dpz~Hur{Y+u^NkK@HT+yez(hFFSF*EK)2gtR6
z-iOL5xio2XFW|%dI*XupE&u#)2qQP@Cl7!-OwRgDH03}Q2Jrn<tYZE$=W?x4g|deV
zT8!e>PDKZ-p^V`Je)vM{oHaGYhVs<Re)Hnk1+X|eSs{JNG(OTL@xEtGkn8%LM*HcM
zkJ|Jxtrny6@#_a$5#Hx{jm;hhhR1t~)KPywBE<1wBU@!jOZ41Alo0q>=6w5j&72Tj
z9_Fi-9r7x)mM{eb2)C;y_0r^&#l&jz(m~=Sq4#k1pFdnofBZ(T;=XAlq4Z{4Li(&}
ztpCUbgvjR@U~l$-R>p9Mk;5~iw^NtW*zS~QOqIbQD^S?IaySNE!)wbu1vTNJpp&;?
z(pyTl<3yK=i1g;QQ?Qq-7vAWqEzZ#*;MRD;^?11Gi7P5#GymW`d64%yIR;N~z#G3+
z|Nm(L@N178I$t~>&6EBPViK={PAK1D$e=;qr%Tn!HQl>qAqeP3M1xm@!MIMNKAPxQ
zSXhmG2l3{@Qst-5GDw+VjKm88pWDL&ZobZOuQ>TzoK2t2iZ0)d?!`}O+bjCUd-?aF
z(TM9v-4s~zp2&auyzz@gh$H%K+GZjY(r`_jNf}b}43Llv@C<oEVZ>7YLYR;?!+xe9
z4O)5GYhwRcx#j9Ied&bSmjg87Kl|6uoW6X;-b%~5EQrQti|kzgU{D!KWNWpwznUqM
z&L82Sr?QOYBOz8SBreu=ejPvqo%mAjdeBpC!l<&82R)@Ih=_cRB&hjF`ZrkH!WDQQ
z0g#pP1F_#4MC0X|!QA~cLnQ5WJ`YPode@;GXg`YC_O=5WOgHv9#;52x04s0!+^CZR
zeDjM53h2z`Y<E(wuPU5RAD%9+)WnRf@1Y!-qMf{Z^mKVD*VBt^6lKq<Ju{OqT<MnD
ztA6%dSo6nho(b_8G+2h2y39kx62(;|8q-HWas1hJJ_^EgEhRclFNQ2xmrQ;<J>p~)
zvokx-Jvmo!K#KlC0TG~jHp~dcZ)c=PM4i926+)Q9o3entrWnl2zH<@F_l;q*Gf9;U
z<`<cydNfDR-JOf-v<#8RV&6~FSzEUN(vOlknctZDHEFm!``dB&7T`VygM<Q~X4foL
zd+|*xMG{EgxWbHQtFM%!N92d~I04`8_0`heEv=-sPDYDFVId@E4rTkr)IQ!K`vory
z{(9TbYod#slSrl&C#e;*GbK~DW7O`OE*&picCpxnZ`u%CrPvu&t?f?`2MUJdXMe_i
zH>CxuYalXD^?+F>v`UARPv{WeEte#^c1#T$nvJvG#DbQO$nxXYx`YcaXPS7H_$rG8
zjwV@72>Ic!9-<G{+xf2BU>3FPXa1^dqAa1i|HIf@Ma9_!Tf-27yOZEfa0u=$Avgqg
zcLsL}G6V>k;2we#+=3){aCdi~!3XDic+WX&{g?k-a`Dhz-Cb3^_pa){M8*sju?sx^
z%}#oDnEqXlN);(v?S#%xQvj&u+Ku);>=~-Ro>BKqTGy;^2+#2++uh4cuFyI!QnVdQ
z@c7gS=$7sty{WZ!*g4#`SO<=};9|V+vwgWS9F&CM@+tKNjI*XlOH_P(CjKlWIRL5*
zgOlm(XFbgpmG;pDy6SqAO*Q5G4wQ?%?!QB<`FV=SCk)t0qaSFf_3LtUq$a6aYi0ut
zX^@%pbHTTI^)nb>V*W*ty6TC0jx^%M*e6bl<1>y;{A>S|^+Y&F+2(V^56ou(IQ-=Q
zm|t`gBz0dPxjP&8?)uq2m734uGflEn1Q{_N!qNj}GQWP&IdLR7X<B5<R%3TFPTRy7
zT$!1%iH1ehl_8xmYXt6!<~WEn*tOEy#kM?%_&t>Wr3jquOjRnQ#DT)f@##*&GflGj
z7SrUrkb|f1tKWZi?RNBpUR0zPssf`<e%%(SYs@U&L1J896E!YLZ@j=A8(ApV+({gU
zLHmm)M?B@Qr#xW!)|cY<{g=vCHDI)gFGKJ9-=W{yPf=br*cEpnj}s{3(VbX+#{dp|
zq9J=M`9uuQ&A~O*k<(h<+s4w;$lfYu8g`5dlD84<I@JDEk)k@1Rs;jY((ydFj28HV
zp=S#n9o~Rx*s-%8(sJ&u%iD`w5~lrUT$4Xe5-3jLyx%fx#!q1|s~+<UV@qv%s1<rD
zdY5#PG9F4zLMA!&+9(VC%NIlHo()kQ>K{7PwD)=3u>>E6L}w8_ds=GcAR|fJMJ+)O
zR*&sWeI!%zz=pyy`;Y1GyBsS$m^&!7J3A!m_S2CT<3Ew;h$^rx2W?zvQD3p@K(9aD
z+`V2L+3BZ?Hud4aI6;lkBj(^J`Y8hE59?fa<;&N_>36kVIvpHfYe51`^wSwOt@6+k
zzhv=hkJ@nwlX|{;9Vdw+Tt+&n!q@rJ)%T)s=GxV4e7*Dhl~;QS=7JcHrDNd1nn9G<
zW9jG}92a*`RQD|&1{UpiT)I)PP(xwZx_QBk_1VO|0OxHqTdN50PY!@}II&@S+c>$g
zMw%jZm%#jEDUkU^!jd8sSWytL*PsQ<_Ohc{JTC2Un$Fk767^~|81zGutH8*mV)d9J
zaAJ?x>*K<JwpN4nI0y?xaPH38N2P2JShU>xzo9xTnZ~w=h<d<ipZdb)#@#51`paL(
zdkJy+V|}f?G04U4=B$gZOZd3Ipj~sgs~_E%VP@~oj*Y@PO0Ce`nZj}TaPC-FEs${B
z;O<)z`*#y#QSo<Jc$Pp5?#!0o<91bY@^fEmT=q&5!0T~kjsOXiT*~^&hZc`2X8+v#
zSneMPEuPql8e@C*=mr7iFVp&T(<)!O@eq0@?jaUfS4ND(V@F%J*Y&EtTsYv>r;J0X
zl2xNDO!O6|&x5DE$*n_U-cd1sdu<PKMVPVFp(QFMABsmxThWPwsexT))e%sONH%>q
zJ@WZkpiDZ$>n~U)tnqC%NyH%sl~z(s0D`k1RylSU7b*IN^}=5q9-^+ZpJ?0sD7kjX
z`by)@HvA`D5>#}E%60iNaQXz_o2FEP;}GyEH5G$$7L8z6w}-%pcL4~n@k@j4Jd(xz
zhkzm8u%jSRXeLtA{Ux9fNP7|r+>{S+S}dJIJWXJ*ZAHC!Z+4X7US3Z8TNX2$Z+Il{
zM8!u$2Su78=R?NdWjzlw2FK(WvbQ^3u8mCf?l>bmZ!%B66$iC(K!F|<jhZL(flt$y
z)k411%yyr82^-P)iMmoz%;tJBB-29pNcX!ONtWNMg&JZxvB6^v9t8v`3Um5XWQ)eI
z&vZ}U@L&e#7U|`uTOxqF8ZF_Y&ILDbJ|!*}FVEiuZ)B97M{oc%Q7a&7uj~CEwlD1j
z<macLs+>xo9uVD_x&Pp+n+AAug+;ShpgOF&J=1GPh4T;lszs>@%QK(wvjt-smlO!V
z6t=YY35h_K9%O0z`W>c3mVD2bCFpZV%@+^!RiJH)V>^)Zw$H}(mp#-<%nxQ3QNQ7I
zCrTljxW@Ak8n?^8LQM00MYP*BQX47><oVfr1<~6V4tV%^l|KPV9$Qau{-NVo(EJ4k
z399JCPqo80Jlmi6>~CIg0*b~|t%BU|ZO;N@qFM`!F_yr-1GHZYH2<;57Q<fl8kt@h
zQ<Un^?}cIPY+YTfLi}N)W8sL-#j<JetO{8TmQgtcQ(DD{=<lPLF)+IJg9_EKmZl8}
zh?-l>buY2vX<A+#(!2&~kn8keHQqfz0AZx?bkQ0lGh5R0sS3WQ*tYm9A5ph*<E{Jt
z1MBqO1f8T>k6<Bz*o8wz<lDLiP&27FJQCRSvdk4<*>Ikj74J>~D=wVWsYOHpyxE0A
zrCn$wFPuGYVN?K3u=a~Pa(?WnZ2LcFAXfJuJ!sLm7RLA#wOFrtiC-cgfY+FO%R^_2
zPEWFe&rBo|Qo&}dtIVqe`HY1{z4JkL`>sM@&g$gNCe!69+qW))%>W8qWIXC-kr`BM
z<h4dbotG#-yX8H1J9r7RH$W1B)KSa%(J513MZw_yt-D4gZhkV~uU+*Lq5yWg!5b_>
zn<Pw}L1Xkis?iAM+5qZhpP?P;p)3J8BLY8VG~3p&aI;K7&>6T;=t=!oyXRPnA<)t1
z06C_$DE@!<Rrc2O7lX^`dY`Lo2&btwb|wAveZ^a9M4pE>cqjIPQm_;kt5;y-JfR+>
zm2|dW5BeVE%jzJL4DKdbGYKxPjwiIx-ib7pE48$W+`;v5-rKh0iRR1?3+{?Zud1)_
zl?*PLZ80j2IbFpE5!)ZQn{N38UP|N1mN=-WNKMvEMKO8YpB2KJQQi?rAA4e%6OU5k
z^t2lmEGKh&?W^=LJhAbUkHW5glURKG10<G#rvDQ}jzt=heMPUv-3hb_cn<z9-*Vm(
zOAy+*OiM~8?rP}fq_E^?%oXdo@fUcn_=OsZVK}?98z`W^jZ_oR5#2APaCCmk<n2o%
zU+?sXz>14uzMdSi^<k0Z1dDdv8nittKaujN?WmF(#!wML3s+FoJ@dNGwQg2P9Y_ZV
zrH++Fdk|gmBGF`9s)xEd-P(w<5>}aMf>~pf7+bs^ZUftBfS6|j#5{)o(OOw}l?3}G
zEY?r`d*&_sz=$e68<0}%#1YYnQy$*WqgYFX(NZ0VDRl*P)9?;^!m^9LBTyE~r|D8G
zx%R~Ru0Zzd?|eAeroBzo1&{$X&K+3fPHHknza4;<`Smz759}tN?rj?GACT-xtN#0h
zK1tWJBG8niwZB3U0B<FTRg8KldWc^ymb=47_c3JdSb&jwf;x{mFN3&$h<*~=ZKX%)
zK1ey1t0)(UamxQ^U`G?dv-Y=l7e)DuE@)-88C?&KDSu}iCD95Oc59iIl6FPS@(=ev
ziBvFtqza;8b#@ml)J4;bLIx*>q9t(@fMTQY-`wxUYh)W{8u9g|4Mps+^ao3=OrjHN
zt4q23qmv|!+20f)h=EfG#7gptY6YcOs-=MM!!sR@rmPXNeeou-dO&ICVrrqC)P+1z
zfL_kqzviD?8ZlxUO*3il0neQBgNQ{H#lc)JKzp;9g60CG|94BT<nxg`IQjLIGczUm
z)z5_ArY9^Lu@8=XDj2P#3p8@+g+$D>E;@!&6NY?4PTUC07hjN|r}I+^;}nSoF7fAx
zuDGA&G{|AG<RVM`-hixhX>SAYl33o%Xm$C2mAc@D`)F8a5(TjMmk!Y#oO3;c^<A1|
zO0dwAw`}T8dPPA^hLVF}Y82rcfo5>ld{^Ws!pvFHKOm-5r3%}t)Qf_nS6kxEogBah
zTmhhb-wgK2Z@`UVn4KE94_0}MKE6I(kti$k7TjC)yxgBqb(!S=V0E7ycL<hg#fq~@
zAW$Bcy=J#(`wPW=T1BA!={_!R0JeocVU3_DWNXJsXEIS8t337nHAl6*gML*ZW{i83
z0!eKOhr}Y=sF8cXx3GNCe_f6W><-LWO>;VoA`J(`a3;t7nS8=8F!9b!*NSI^dXDF5
z@OPQ#SL%sc6Din_gEL@Dgtz9!hqC7wdSuQ`c{Mnjka1(W)T1x0?W)r_$>3|M7<b#&
z^!6Yhau9p{lzMLenNdNld>KCf-Qs1HYYiKzH9r8P{vrbo#uTv4>fRlm5M2F^=YJSA
zF}jqP;5aW9_r0IZ`p%X5XUVyh&3kt^9UEbdmL~b);zGPS_&I3Kk?)U*wz%j1c)oZu
z0AoBqo;0mNav{)WKo7qOl<{2r4PGq;>>`1^2GWJc`sk5WRO8iDEht%la%M*&mFUI(
zTNyK?H)8zU%$4LFfld*=(ioZ`50!;)qKH834Z#W1I<8EKN`U0Vw?$L~6Qe%hM6k?C
zGd^o<a0s53tw|RwsbQCn@u{IOM|%k=OzM$~>jbW*p1KE$^{fmsC5^#)Rxmdk+&MX4
zAPKP30JEM*T)}vzQG3+k#q=59uUvtl?x{a(sYj-bF9gdAm)e1K4d3G!eftv#Wqxw>
zu*0u$rTp!zjgz2=rKZ#A*p`ZHLHFJG5D>1Q53n2JFGVhiH8nMVl-)t@A+1o{b>iI7
zBUKd@F$0;RP+gfIeeGa};_M$SUD-LKzDyd~wh9?26g-N*mGpG=r3Mikn0@`}$a(Cj
z)iHWQPrW;Am@=V{WDMm*WBPByJ&3MWBnc?a#0rEqcxP14_P?ZFZIEX=0m!c5nabKN
zQADn(<AbESGu*(nGTiEqN+b;?8^H)qbC=>UhV1IcCSCm?ifTNI)J(DK2iDI-$W)5z
zSL+3*2H(}b>~<%7RGcc8T<xCkDJOt2X6XxH!F0zijewR_Et>$}pZeGDG(%Z)P*&*n
z;nDd=mCI96Z60&mfvAqr<x%4riwn%3%bK5rk}??U)Ng%w;)gs`|K6uYH-N*;VV+~z
z@2Jv0XB3K)_y<1`#=*)e!l*oDA$&&m6+UCSD7)_|UcIUy8qI8D(cZAxvl85>zcFUs
z$OQTH-orocAVVq>Ld1((s0%cPu|Q@~s3Bu`Bg}|5pj4_-80g<`Z2-g`>-4?pFE(~r
zZRXm1oyFDDx?g^-*d4d~M=p(=s^!<8lcAi|my`N`=e)tIZ8pH_msOuvRA&OemRStt
zk?n~{V?C7F=B2sY(;$Dq;r}S+KUEd7fcH`j^I}~<)jyIV*g7v6@yeL;&wT3i)O)f3
z8?)B2xwLF{pm1}v<57B6(TH5otq^k=K4ENc?ZG1m><&SckEeL-^@sTSd7CzEl6}>?
z9v`5bT~yrTRqnBQ{!Nd{IvgQB$KU|3D4h4XCm#(ySDDgFU6ngE=NbdZwFtsur0K&^
z@b<b3ynR${FK`59Ts5-Q`udg(yf8nS0IOpC6%2Vwn^lo1b8BLXvVNo@ww7Lw;1#A0
zp_5F&5!dNmfqZSqnP2jsVjGnt0GHK3E{4K}Ksty#CzjINh}wu%^fc+;w8Y06kg=U-
zthh2?`an4V<|GC5RSVqN(_62NpGN%o9{g7MG4nWkC;%ru+>3e|d3--+xZUgzC$o)7
zENCt5y$tH7Ro(MVXA_jSV0XP6&8ku+CTuH_7iRMaVz{I@`b6j9i)|UR2r=g$EPL}C
zeR(Gm8xOB_sC|$J<M%&f`Aj9V0??#ci<^{$mYWu%XzZV#Q0U5KG9c)lEzS}PDu+(P
z%J(RH?{Sd#Yyj_uq<8K7W|qg1?b8~*x4#fFyH389xctNiyjLkr*ba55F+f)7TfbuL
z`%xsL*A$*k8wZKbi*ft+z}uODxxX7ZwY+s<FZKi4&W#`flWP1%wOn0QzcHu%{lP1@
zfUC7@qZ<qkp@zd1Y@YzpoKuCAb=;h8R6gb&It$3V>p6f9eYP#0bhW=10%`2V1HS7M
zC`}aky=p<_&+7S^)!ttf^`1Bb%)xa%P&e#VN5rhV@#G3IY^9h4hNzgt0Ni)qs7Aqq
z$c&q1=dD_dm6QwY4W#CaFW-K1zbI;Rm3WXD;3QOhn96gIr{w8zZ5Y-1ex-S7nQCDC
zJ!VI1!+Z-X<l2$<`fVd32OEGk;dq%TbVT(;?2v+JJ_{i;y(EA%SSWXrZ_3yD8`d0_
zz~0R(I8$ETf*C_;y+%{r|5e7J^S=Gsz5-3AOJCX-z)e561yxruHuSv=1JTF!4qU1%
zEQ@#cF2iH|6TTDgxQf43T)3*V0a9)x^V-g~^VnY?+cZK+j+(l5BdjJ+;;f~-Hb(q$
zZ{{J+U5kwrNfoV5OkI#jnt3X6;ZM|fr;+9|>>Op+x<NKVNWC%bp{HoVVuxmj?9?Q+
z?8MvcWnK#;4+~h)JPtp9=vB<{g7~*YGwQpy0FeEf%D>7uuI1PtiMyV$XX`jJTL|nI
z!8C}6i%Ye}40?hu+Y%orV~t!;^pgI#g!vMFiM%n-G%3vitz9v0;s@Bhc}=rfu&TDv
zVNh<7-J5yWjh2NwP#j0lS&RuA&0H01Ugyu<%!d2k=!CODt7cu?;#n3r?a)$5i`=-=
zN*iO9b_8iVhNU0I;GH<LG|jze&xV~kK4@Dqe{%kg=Wx8Dsx1!x6ib`%3pzltpH3IC
zNVK~^mmJ^5v=Rf6guTpb4=lnlIy67CC(|&=hNId4VR_`r!wO%5Mrw(yRz?~I4=0;>
zb-HXQwk*@So{HAfQmw5gB++Om^*RY_@$1RPSXNY<QXhl!CBjbbRw(T?$2pb-2qpz=
zVOhQ9_JaRNN-t_?yNq7$xOJUxCnxxdPO<i<_lJ9rIPs#g<Rej6KtHEeHRsgnz|N5G
zB{Er)8mv}-Y2T&*Gx>Ppk=Ib4RCt1AiQnY6q~GK>$D)xd-!6|V|B2CiN!i1Uk2O*@
zA%LR5(5JE<A)6?pFiKUnEIG!wzPr@!NWH!r7(+s@(Zw|6WdB{{<=@VxFU{VOWn4J)
zmoAR{i2<Prp>RAWzL1Py-ej!F5-^hp&+n%yC1K8BEDcH_Nut_l?!+B?US(kxgeU@u
zV0|J|@giib_U|&{|K{R&`EF^_iU&3!5kSx{wg$mISiRge79wOUJNEi9!FbUMigkyQ
zd&?<L@pY7Y`&sv@e}fI6H5`ElN>CS`w>siqHF<S1G%5WnUuiK4e~xTOP|fckX-w!{
zF?1NC@jj8SiMX(xlq(=X0;fFd8(;z#cr_+Wi55I&Z-4wA#aAap01=e@`b><t%y%yc
zUd+>9e6{wr?|<g(KA@8O;1uD_#rLGH-h!x(3i75tPKa`I*sQ2{(i3GJ&bRygZLpkW
z{C5(TkUx=@^trhy$)=B$xkv~~5`!6)bt|G6W>{!=wC!CG+MP<f^8>N(c8^O9xAQ+o
z{QuoP03pB<_n+E>cyPyUZ;Iz6NW6Xmq?i=j?C9Xjp1L%dllv&pKNfUd2Q%5;_!%Q&
zJse@*?~X<b@Le%9h1qJp25)7ecV_y%VtkTS(kPalBZ92E{dM9LlUQ4ZGEy+x9cIQM
z)LK_@G*_qkqviYar@~r{Ybqzrm1ACjPT}Y!9ikX4#pjrNOdd;te|%LY3rq*-m!d)B
z9Z^vh`@LCMJj_c!U*~RJNZazz%$b4i%^)EOiK*{$tUL8Y^)fr-=RuTO0b(SlJA!~&
z@5y_0&;t^3U$9K-+qK?g80+<8SsJF^vQa9qi>`qBK*Snq2LRne54`E7%t0W6)4KXA
z2L$d*M>yP;=YNT`2Xg&a-GHyM2+^}=%qkNLFQ7x6-ZR@}<=LJ1DW@C7M`U`<I-G?$
z71l1rj(wYBA9-g;(#EHzw^Ez0<02d8&M6Sv(=wimfy0wjgF4nwB{H`MbLvoOr7k*&
zbmxg=j2GWm&1NcvxyaX{LcZSOSR7sKPio9#){uGUhO3aO%SOViT4`o&SqsEarGt=|
zE7+xvZjC*699)@}9g`tFKA4D(pVyZ!jC`y6c&plejp=k7_WX|n{94oOZ&m#oYAtj#
z`U<=z+PtB|yi**6YZ2Q*$4o;Br#1s!KBbyTh4+Cz2b8N+z~-Qz-FX-U0ypI<$-T=8
zlZtF7rAV(5>W#9biT9+;bqsCWaatTTTp3WOqUoa(&7rQx5RVu~t`%j7b-7*v37a-m
zG%hjtpl4I2V40#U`5NBUW&xASi9hQHS0^oFu%5$JR#|}YB*97j#82ntZ26;$e3L?V
zTY`wROaq&+FngaI6by_Sjn7Cd^mcCs%&XkZs?~f+K>5MU?5{w!e3Hh!P*BVAyE1(7
z+5U1<c4z*c`W4r>KA@zS!vTOZSzQ8PUyr{M{~PKvsR;tLs!ox(-{K^$4R!>+C-y?w
z`Tr8%4OT#i_^S8QOXRxYV6UXW2fLK!P!bW%iew>dTZxs?sdZ6VV%*#=J9vs$3vx{X
zEl3#tYF;P;$1b&n@@9pyai|w$yUWR!AN#fG?zwN|=luUplm((#Lf*O%<4@ru8%Uy7
zYUWV2jRx@LiL7tNN#$FGD!)I)uM|oO2s|VfZQMJ5rjBWs!6k?`<Ch}?@5ys*AY~yC
zYV`<iv~%-;IQYpM&C-@k|974hz=mz9eGT1hL8FHiAP^c~XH9ti>9|_#EDj<BR#oOD
zM-qQU`5KE%$YVdHAzu7?-ooV-&ALuJ(BIGNWDEG|s46QzcIQij#k`Lyn;;8c_H2jw
zd;x4ibGvQ5`y+vJqO~Xn_}?eh!@6FU@TXSGm`y7^Ug^cDu#a>Yxvrv0oVavx(o4vD
zQYLGm)KOcfXw1H4$rNe(7x#Rsz-5*z(Cu(u{HRnPcPv$1ttyY=ghx6v>tBRzCIhjE
zcJgZ+9vxFp!Z*~v$|8Ft391xjEZwMs^LEgHi#QWn)w<!$`*3LH%H|{)f2?@$`?W@2
zpcT#61HeP2l9O)M43zmtACnqBGjyl75SjQ)-^r3%@Tn%zRmE@l=xfJQ0@Gd};a__w
z^@p_dYcqdG)efXQeKN1PxxUIFm7O3B&D8pC$PNqp3x(9X^H>|q#6hp%W(H)&6{ZOE
zvck*-FGrMx#+|`pZ5iwwAH#BHF%ETtyl{^QU?G<1`p`~UGu;T7tp)rffuw91e!pna
zB2MGUixxJ>H?Ojo(uWVo>kaUp<D+5}C&wwd2P32xN6;BsVpP>@NiEwA!oOGhzp8cm
zd(>kr(W-4PCX2*O-C3iBoxJ)zp-@7-p2_$rr$*;7`|jrCSo}f}(%w`zK-^jJ(rWtA
z90YSSr^EqL4Ps&6bIYUaC70lxJuz4d>iQm}9k!bM{R2Is*sEo?|ET6N)X8W%MKPTI
zGlP(nsE4tuH~>Lto)PqBy$9W1JBZ~5o7>wDB1HZ3rV#bJym$mWoLBhbneJ_4lUiV(
zze4+XiOm!h!6AA+jShXGYdg54I7!mq4`OVYk1i&%)^c3>3W2b2MMfKUuPe7SzFr7&
zc91RNHs_PO)}jYU%`NVZS^6op{((-)|E$TL&}Ni*uyoZ=NTBT;TkBnWuaM&niH^Qs
zd_V5iJ&!K+_Q_&@HH4HzPJcvgWS2+lhgDdJnvCo72N~#WolfrbQGf7PuxfzYR8^=R
zAnD->1fp|o^%)_*NiIJimr=XDEH`O>E+A~1G7%Z7<UiT@J+b+_zaDSw{`ne%qa75!
zXDnL1QRTl@{HO2#583Zs9<W{)uRbd8w~u(w{{Y*O&J6~d2;Kd53GR#RU%vgTH#*#S
zo0w`?w*mD#{eqNxGl`Laabfdp<}{9&@PAr>pl$?!F_kib|AoAY)@GAA)@%3+K&rET
zw|OO3tA~F>?lx~~c^yWZ4|dkcu#7Q6ee9q85uFpvT44b*Znu}Lh;bj+l|YKDmGvT@
zd_6%Be=!|bRR<kOW3vFwU1oCfdH&ISu8hi~QOHO6j{BR^3ZTS$eG7F*pC}}xu@z>j
zWp8M{AX$&)XY+CYCf+=DHw>gc&Qpsov0nNnO0xh%TbDGHmRUU+!v2$uOkoQ<cuO)h
z^gn8%)^ArYHD7>F(JEFU3UJcb>ivOchnMtgl{TdQZFxNOq`ejXr2a2U(vXR3*7iBd
zD@9}^aN<O}0y{WbT8(k$CDf%YY<mOUn}s6)kAVKr_0KZ{^VOsmI+3;XPMQKqz`Iu`
zpNQP+oVv<brk41ViW2G*|5bLNre1*ww4*K*^6Qu5HM+>fWXPDTt{!4pS2>T$lEu59
zy7@eMN$QsLmREjO$c8Pbe?sCJRPuRjJtU>vx4w;O3Nlkt8GNZRDhHC!BZep0ERoE5
z+QsRL#XQ8ypK1rL??}0{6Yr#S@l%o5m-T_>=(E^3etDQ*Y25cFRFJcxeh6%q<G*XL
zE8peqGt3!%UijfhvGH3v7iTint{heIGl5b9OJv7>Hs7Rf$fQK0lh4R{?iJ6j^nIqe
z?^Vsh-`pJ?5;D1$Ag6|j8aK|UQOnk&uW`fsj(@dcj`A*uLhOzsumuaqI<#3K5TQ?<
z4qo5tuACzRJzjxw=TC>uU~L=ObIwNtK<#!*ttj`S;Y&1T|IULNGe(C=h*fDlo3lZq
zXRNK8CY$_vU@!4O=p<9CE~QOWsWAXIS~kj10j{5mX0uQzpUg+wy>6|DtM8a3p6ro-
z5p+*~^-dAFk|Xb8Z`?~k#5Rz+eyAl}*ztEg$_N9VEVW?GVdp8BDL>Vcp!=_B+9~@l
zo4g|IsWtZ&=dpoInJHD*?(I7M3n!pPs<EcI)j=1rYC-)s;s;HRdDYR%;Jv-GTfW>N
zTOt}AV;I~^SvSi}Trb5F@5~ofVXgi8iQ5YR8QVs?<iRpXWT+MZHyT96<kzZj1ZXP=
zvvkk-5h9zFhWf-~eU%6l)6$M&vGwfI%<Mq&sStOW2axZHxwz~r9QT!**4_bw)cdS*
zsj`2Yh6-c^N|yeSdfN26qSM3))}ogw6~}sk_?Y8#7<R;o)lRyv-6GU#<d6sUCO!$*
zA1D$G2s3HtX@lu}BYmC)1N&I2HqKi4R}%ptN^3;#icu%C&q!Q-F<G4rRTE@RZNMuJ
zSc(OZn6%TPFUrWjq=dg#Pa>={6JGdEZ23x_X~Nj=Rr9im@b*kCT~xKDu%Xf}@8L&?
zKZ&QrNMHS8PGX_@KB0CHLiJg}a}&ctlh3CM$V>dTdsGj*7R(5YAonE{%E_E1HV_dW
zq6ur-o^@*kBJ1&V#x5AUR3uCS(gmM3ssAdsfW~Z2=4NS}Lqqanr&?Js8YgL-yLd(h
zDUx~+-dW+p?S-NLeji&q13*5g5_x;`{7?CRpJU3R$3$+1SJ|N=Ui}Ih`f7w;nlN!v
z#|Z;7*5LPq<*&0Xpi+t?FNISfVkG4X8nf06II++Gu1jurTpCd0&6Qx;7R6w)!PzXp
zunlEDxB6Bp3oBoB4}}H6oxNMM1K$XX<0oOE*O`&l_!VkJPCVvU-Rft1&HGgVWZ`&w
zCqo|lpr3e=+M7rwIUwxWkvh%h1BuitdJfPXeP2;fe6iyPz)`e@_pXo+>GPx+6@Rx}
zGSs|9SUnXce)lI;=w#VI;CySZX?OUA$^GagG<oFmC?NL4|2aBb4Bb`?IgHlq>~~@X
zFG9?P*?=L%qUl@E?3_aFYfwJQSD|QmIw@J)HqPsnel7ZZuZJ!-RN!QhiTG{u>Id#z
zscdmD3*m^dg|qc+qP9|;%hoSJ4f#sk&nb3o5_nJ*BRV&<vB72;;d?RC(FnE~5@cb>
zb`4VK6g)kqgrS#wW%$pZw2g-jwkS`wv;iuj(gNh&UjtxUo<td_a5~t8#zgW*$X`@8
zeFO3_TXtO#a+kZN-UH6{GZ=d33|C3<@wXKs9l359Sk|uTm3MlitaCAWQmY+sEu6#3
zm*`~4utqh$sul=qloAG?{!V)QKwQQ!-Jj3z@@TW3vo;^y<N}Cj%DiCR6i9-cp2_&n
zvWU2dvee2rQ0cJ?=iY@yQX56m-BGYu!X}`n=n>`Ls?BuyY{@@Mr<Fb<x#+|bH}NlG
zt4ETq#9l$71nbKM<-`lMzWm&GV1ezp^Aj+6M|E@S58cmm$NC(B*G%0%ubv6TOrWQo
zW8yWvHUP8RSMkG(`;!miOc*8TOSC<?kTRVK+R}6u0uP<XQsquZs|Ks2mB&iz^e0+J
zix?V!Tdzp}fx?DK1A5Iar^a(Ybwaf0Oe==lhZJm-e#4QK(a4*}wR`SyH;+I;HW#=C
z?xC-e6D`ae@r$bIHCLdL+2}BcYFD;x0tD%JojHLHjksV^*TsYIM!^<C1t!ayG$y%o
zL>?W90s)8IAGXC|^_kSZ8~Bnw5eY#uSRbEK#M^H&T~%w1QU^#Z_`U-Bu9FD%67RSk
zVe0mb*;OihMj1rY#kNTy(>mH`%y@VWK)Tc1=*CYL>Q`73RVLpqoh9LmgT$<m5y`w>
zAtiOLzCV^(R4qVC)Se*+U^C6z?IHnlP6ij(z@do|b?bK!Srd}D`i<C$URtm!-CpO1
z9D#@QDO$n~CsK~1f?G+Hl`WFgAwt8aO)Q=-wX1qKl=|OJ;_ARz+^KF286MtOKifY)
z0+NMRH~I$oZ#BWe1aXB1zIp&{=fVncW>Gpdj^=N3M{#qJ4FGjpgdf$ePX0HcqjGW%
zzmP*M=ELkLY(*nt$(GN%=zxeC5sFxQ;&cJ%O|dQ*vZRqC6V9n_zU_SJ8?CIj58(_I
zXrfFP1bbzmFyGv)*?Dftm+J9WaqYTYMF=%;2vn*pbL^vsCurqm>i#2^4j4|&(?wYd
znLDR&Vv}@#*E6f}MtO1E5n!dWiH5j@9pbmbS6jXDu=Cj?d-W9XWEv`HT-=aTa-f1Y
zasaT=U)lT?@LIt{-c2!V`y3HH9P(E>ZtNfEd9Yg~(AXO=UOHA-u*;t47S4SQ#$?o?
zWiE^M&{wEw>y+S)peyeJpgp2`CON>*x0j1)L8RuN8ds^%i91gzEO!+ZgiBC11L<Z^
zq3+qwqp8rRvyKj%7wr?kd)Z%UKfnDd#zu8m+X58}eSp)@t%_q@qA)Z;X`h0BQxaa;
zh3>wQ5SstJ@H2`GX+Rs1<RC%<aDVMpOD|$(zN5i~y%FR*Bkj<5(xwoYgmkw8ulZEk
zfV_wFKEpJ8JfmE1dUa%X0_q{u&zC;gs^S8zy^Pi`Zp`Q?5r2+J!jl<SnbwKlY!|gq
zP3EF^C&)abC|^~t{LS6BcV>UXVVt_~1e1=%3vvT1zXT$s;GH5qplPYMHPgW?I_}CS
z^S$=&(8+<xoY;E@$#oty;7?(Z&q3CQZr?-^O_-y8xu6CmSR-&ODJ9V5Gda4_Y32MB
zyNn;+ktWplb{&^fj5H3DR&YSQVu_F}5DGuVD&=>cb-?};Cm+vxb@KK_2n2Ng{mFig
z3P=-xVP6`Z=vFjbrfRh(d5r%Q0;J3~xiU667*i3XSJl;DFF0#CF5kPWlju%VE_*tM
z9j?vPtGz;r*=Blm;>8h@1>o-dvCrC+Yn6cZq)NV+G2lc?Qg-ib11Y`H07wW%b7XCD
zWcEh$zut~FiR8*h!XoY86X$0WQQ5NRDo3W`C~-u@P^B6;|DY`^!LeV``lD*NMO(cZ
zWCfU@7dQy0{}=RHg`e?@i?V4@jd627tK#NHKDGVi=Kf6?36uK9w)R^ay&ZK`NjLWc
z8Tf}xZ5b*uI~KaBB;EHpjqEm7uqq%oIF-oMWQ_cN?Vye$Qixh$$Al5%ruJ6m`WQTz
z!?_@;#GsH7ZkCD{k-(CQ=kK}05|@gP$xMavp>bvY4DStTuG#U7#bW^ARqCz)96j^D
zmN6t2UeN&NI~x}qqeD=|w9vC5Kupx4=ce=fSph$#sWfn<7dd)Y+Uj)#jRpmZXy6YL
zT)<=^V;OhJBLV)vr+!R}ol{qe8lDzhP?_N*z^R9CUr@ipu|kcQ{-K0vJ6ji;f|G=h
znq>JePFD8`g+gAhmio8@XFv|~3#pe!M_1?o<$k{bz{fjTftp<Yhc73os}qrMT6|}x
z6cFvTXokLY%eb+O&nX^Oq`0rTD>@|2z^=&G_DX8T8L-hZ(`PrtNLcs=AqcDIi_$}8
zMaCS7yRU!VNH=4oc88y68MET&#<%;+7=92`foFj%|5u{V0<6O!s_?SBOQJO!BMr`1
z^BJVBVwl1BHcoEmK&ef1-eK+PKF#K3R5`_6ptFd;bU!~3)0X~jI*ZRI@B%CQXlZV~
z`F*q{7p{X;LHmk*Z@D#&LiFw+`}7VOn_@W^kgNlZ#4rQUt4qo#5rUvMXIr_ZJACC_
zMde;L69`(2nyE!tXSR!|OOxLK4`HHu<=nXL)YPTg@-QfkXC=*2yV@2(Bjin_j3?9n
z1K>X6g2TX&oAi;u<kl46Hp|Xm3=#jiOnEThNw5BH9iI-75H*lATY??jhfrM~Rc}D8
z=&J5uQ5Tu%MHA&75*FH-5TKie&JX1gk(W_Ze9rbLc$UTf*zt9$UwkpXsXYeZzjob#
zL_t#z5pZqC=1nVJ2F~{Oht2MglBhO+Gcz-n8r?R1nYgmUVk~l@%lntY*{Qgz%(FXy
z`>l%Ey5Z6e)JvjU3kI(Ho#r(H3^c)PG?cj+8F%AAqwy5~-vF*-RpljeZg;1xMmR#$
zrcOrmrxG&0R(v;{M(^D&<^GP<?Lt;T8uaToZy2+iuca-|5)C624ZGqKb{W1-0B_aH
zyd4HhlVxZ2pCL~qjR?XXd9S4X6V6S2N>+@2F&jXwW?RpSl$6#3n-h1Z#t|ob73_eJ
zxMIAouq_pfolTR=Sm5oxQYpTc+thXeaACW(fId7KxHP;>*=98Bme$lz2I~cZpcTb_
z?46#TE-CA{@3@EfzrN``@p%Nw720LApUHfD0D~On_(K%o;>ZMRU$?o~+n2$$-4Ca~
zhav>+9{~8GPPja@jZf=B<!2IuiqX7^Tpb0o%Z2YcUJ)w)E|4YkYV3Q?I!Erfy70Q_
zbcAn5m+*DZHdHftX=I<SdK>rCdOz>%b_~4eF}QR>7RjGe-A;)wB|JX$U?(xNvgavb
z(xu89#@@Xy<>(sUr;jk1B(NI>*UR|gWD8@DQnwt_`j&oX<yBMePVm|LTU;WOw<<{d
zSo?|5xcH0sKOI%E#XtOiE?$-$4d_NfYEAf3iKp~6K3*KzN7Qw9f8vLCWnh~wYe#Bz
z`!TU|`_-)I(&=46S#V0=^EJf0NhgU8I@A$3)zj01X#y2|>)u;R9;4-++v_h&sH{;k
zCS8m$6gV(DSVneuQC%M{!+yDNQlB>^Sx`X?^&4aT2A5)kX(Kw))3S^#!0Fo=Je4X8
z6fheqsx%4&wiU#SgCw+YbES$gM}CeYPx{xdg!k%w(n+q=lucpa^v1fPc=x^A%S@Zj
zL|1SYl^~i5w?K@JK_veiLy}%<-N5izMP2kp)4&bY3uq__e3cav1XPCuEgoC72xP^x
z1Mk5Vb*ei6p6;}c6%ru!yjvOc2$VvI;g`Guz-O=aHPHF?0MY3ixV>ek|7IsE^tb^X
z2T(~vW}o^g$vqoW5XD2r*!QyhJ;<?MeNB{5UM+vUk!}_`_#3iblZjq=D9<k7<f#eR
zUlHf4hYNwD<hc1Z7A}&YE748u`2QKc{&L|(0qQ#`H$Sr8O=O0vpjp2Va-o`6$w2&I
zbEH{c69UAasn<X^C^f0KG1SK?EE@va^&KJB$(#OLY>Cq9f5Ci-QgnEad@}>c8%3Ut
zCWgj9M;3QPpvJKtNRJIugzTEPHnScg{HOdo+9p!lHoTug=h}~oPQ*+sa**Ix69S*p
zW5~RL2SVC5X!<XAt}bpLLLsmgL&$@y@m6k~_}a}?b^(`8^J2}s`0pDN?Uyjy_bMxp
zY*ZZH9Z-3)X8DUa${%?o2!Lac!3w6=WEpe`9Fbm_?OJ9*Na?wV(0sMeoz#{-s{2F2
zJkj3<6NbVBK+?3{n%TPZIWg5gU&gzmp^{BD9%UlI+ap(n@-_+e<WmWO@IA?J4my|5
z?f_2w5qh53WdbYa-v`I2I)rYV-uywwYgQg2so+ZuROaq~r%c>!#7OeBjY3>z;<D>9
zE*=&ZN`~UMF|jM>TAE-lpbD_h5TK8PvMZ3G*zJ4ig-^ve3pe^DB1=fd5caQ)^6FTz
zDOGQnD%P^-6-7<_3gA^b5PeJ?#>N5u_JtSE7}>=MiOO09IAdQmZS@&qO0fU|A-C;+
z^q2~Zv2(ChlSyS6T)R@{zwcdIc2a!WE1mk%FzIq{^z0uhJ~85_7A1aAjR+HP{oEs1
zuPb%#Ys)wOQ>~P$<rT))>M}o_(Ax{!)`%W1jJWU!7m|9S#)@99Z%7G+2tWl^>ldXd
zNfUry9bI`He6PCXDR}qtzEWh>$3M~=I)y?tR0TC<@~$O1<2-calRTH8*FCZdH7G5H
zjhUMP^9qJ<B|acf8;|8mC-d~|hf+)6fbvh`+@n~!BoOWROhH)6Qc4uxQ34KS9+wh3
z`448Amb)xqS&O4Xb^kpJzzQ)IQaUYqx|etwb7Mbr{MK_)_}25+P5MOZ)J3k~-<j?R
zPf7=`$%J)YYhrtzxBf=g;x%-NyL>__GS;=dbbqO;H)=8;@6-uIGm5BvfU0z~;a{+~
zWkR!$L8hj8uZ9f=1>aiuO~>`;?6pPKkUoFVdQBFE3=JV5BBok$j8rJGB`K+H<PBpV
zkp@g8NU};wp;8xqwrHi{6+4_QZJ;cpng1I`sg0GhF+JeWxas6V53G0EM@@$*!FJF?
zKYgOO8e-z<TA?46Mvp%a7G*=jf<%hc10iw5ya6j%M?VWw5qKb#nRWxQ4ZFtMX?Ub;
z!15_zpZ;BjcEQg){qN?tN^YhPbAiUslpO)*1C_r?9)XTLB*_4wh059)gYx(2&*R}T
z;>jNO^IEriz(#qDfv*P8V@RDw;~)sAW?Ld9FD_GBfll$Txqm@l9r1Z2?l_Goh5|6T
zuc?Ae2fmNb$%PA0r{xX&siW<_4)#>=Z1NjWlmYUg0Za-nY_S_EKy*gzk7~hgVRDC4
z+_7CRG=Y1?ML{L|6M@F|8}`!3hcKL~i`)!Vvr>vOPq3Ucz07q!At?U?%|rD$86zMi
z%o30B>e|$GT`QbHRdw>iX?BDZ>i<VQy6@bbe}OTBpA+o2xIzP0dO`}{F)z@0y#{o1
z^#jEDYI24|(o4$qGjat?bZ=z-de@=X?v5Sb3lKMwi~+R(A!xqeJ`t50snEjQClyU9
zEs%qAG#SO)c!>*wf&S6}h}+@@(8f$h|GD4<SkUdW$cXhtlHWgotnYNHcxrok5zfhO
zGs0_K5n};IOY+Y*KuqR>r|YZ*&1&8E;>B&Dy!q#6f{u=^q-fr{5}VJLJ+*ilL*QZc
zHKRd~DMd=di+oWZEoRwVP>Zo7vMkcsKT?eyw1ICFn=-hN(m4KBO2X2yV08XwqN9C`
z4UjkiCx}=mNh5O=n(ZH0La3=lw|pG!{_mf5HSDl@DW9iW=!s8yRBcFFFNqoxG;6gK
zP94)CI)+PSf}*)z_mwbd44mm2VtW|1!jC=?y!X5GxtUNW574aY13?u~DDayDF%>1Q
z``O}AuH8sJXgtFsja*j7&t<7<4NOO-bLjleebmT}e#N@|3DAx`I|AvJa7Ytx=Exs_
zHX1j0Nhojr%bkvE`mxFmadB@G$~utpjH^sM)TV%~a~~HY@<6zL7bCis#`5nG5S39h
zH?ZODy_QYptK~%gZstn-<f6J*sfMD?6w&LP5g6j3t_#<FZtg`01Wp+%cxB=6Yn;#F
z;iumKzRcB6XpEiG))eGz1Tb9iH-j~Q)NYi@w)SM+Nb+8Cn`D4(EnE1v(IQk>!iS{t
zZDL$!#a9>?U`G$^i8#du%7rT!_-l2iWhjNluix|@a2(9%zt0l73k~}77z9AG!1E=2
zz}p6%K(f_h{!@&_QRCMA+$K3DpuzXCwZr8_S7zL<>F3_EJTBKyugE>=zD%#$veq*<
zXVD+`hzxyfg1;!c!v>N~KR|{VtUdz;jjoiG{YfIf568^nv`)_MV5w?2C~qq$!Nvyz
z@!2kW?2p~sr#~dJER}D5e=*I~=B+Sd^{2$^q*2(Gpea-X3h{VS5r}D3%yqI)W553S
zW#Zz_0>tG$5k%FKo)V#FYf0*>eGS@=UaCUn@mleI@y(7+G8vJDU79OuN6`i2e#n@u
z3}~{2x>9b4bkTM8d~E0gxvnQLu~rvo^VrLSDmg$`ZVCWU|D~JFLvSg+_r~fPbC*v9
z;zE((F7Rfl?1Fn&BjAPU&&<fshhr}DgS*-E`;YF|mX(40nf}uC=<|4RaNr+GsSm9g
z7#MKD$CcSu<pB5xE|XNoQgUy<b+skMjHyQOr3e832Y_18B$N1<vCiH-i~D<1F!md*
z-9BHH9_HBDS$izj(l4Y8n<u9Y)e5|#rjkxz8@Zgvkr~GQhxZ8;H8VT{NB5tcV34C%
zT{tUz3N03$WhiGwjSWwd6G{}^My)amyrZ<^5MN`!LE6N!(besv`b@@biT|jWJhYh7
z$x~<U>;S42_-F0ux~apYx{xMDS;w#YO?%J}DIrG$Q?qjv(F1Bn_!K^-rFj(Nw64v4
z&5ob<?PL^=1E}-gpwa)@mi<qmo9Ne<dICXzWFy=IX!_8S6YRnoy+lx|OA>Y~7Y-;a
zd*vcGT?IO0m%`5qyLHJ3!Cjs2o#yW@rcO33ADctIe(l^Qp&+c4oWJhA>B?U6S)UDd
zka1&;I5)ygC*Eld@jH!n?aUxcbvmxN;jH-S^6tCU(8%$7ILOm-G)v1L9ICi2Ro;as
zRjxX6ICTOxKS~;IY#6Mm7mPgS-T#i@bO03KfufQVl4vFpmyE{FCyL}!gUgSi3Y}5Y
ze}h$r^V$c5*SLA&WUcGZ{sw_9HH@<-_G@QKPL%ST(R>u0F3nCW4YxS<_1D{tQ1>mW
zAZ!pu#Jd1<3`)gwLrPM`w<McPE$<6FSpS*-=pMcgkNJuLDW0w4d@l+-cd=w`YQ^aB
ztCQQw2gj0ic(pIZsI@uI<|19#*?!Pl)-vcDv@BFdrcgV5!K6slL^WN?0=n9+x4v`m
zo6@D{$=~0<6-e(U+?G<0x8{bAuj}W+qNZnQ$yO<wZ^K(ubv%ABRTc}03Fhz|6Z!Lp
zr%!>cnVfY3u=6-0dgH93y?eeHo|`3T`P7}5!p9*?dhG`_dOTMN1@4xqcd*c)yFoj>
zZ)J8%A&`LtzJu=0>TRM8sf;xu#=CcX6j=<}my^i`VWJry<bqjuTZ|_udp~a<j#=ls
zd!9MRdZBj(4Y}1htpsXTH{2_W{A?;`x2u+UnU&<|W`GW68x0NHVNs^@9knZhtGbH|
zG%g)VDd@JX6M}P72eg&zx9Rxf4})9)6Z~^^eZA^6qped}e*FZ$yb{vT-rk;?>i?pj
zaY0xdKDPQUUK*vf5{T?}w$Z5#fu!)A`+ehCUhMH%^dU{DIwb--GC5t6Q!4IqIV<gz
z2s$NS%F6339#Q}8#(D4WQ2q11_;foOe~E__Sj<{edFQ))O0k5qaWNYT#_n|jw2&=|
z?jGHwTx)JC#=lt|vdun9HD+4}0*5Vx2h0aT#eUy^-a0eH><A?bGjTh;8T!>6`|-Nh
zxf8l1Bl1_aHK=1ZH~7oTiTIrT^Y&NYIw7u|8PL~jCjF!J_zDbmeGU1&8O_q+1<20x
z%FD}_R;rN2(ua0djhvS_F-*`!W>yBQ>#AOh8IC-TjlWpsArt|*1G)OeK3$vv#jSrP
zhuK>XiZUs5rMRR1ZDP3la7HzGU?Yz2BxqR{GbD4lFX?2p$et1LI{N*KEd63R*+`Y{
zx``o~a2bN~etb43)?_v%Yyc#}?1;whH>gV{a>Bdpy;bZ0Q!kgl{T0P3H7t4$>)C?{
ztO<RhKw2aV6X@%guOZAnn2&#dd+?mGvGqfZiO&0@<&r8?7KvWG8gT&IlRSIA$F??L
z=J0QU4?Vs`W`OynNLc)B3S@2TblsFq%%g#6jWAJG;OKm1XXWpG8TM{i?4wKDxt0&a
zL(urZDX~DL>T$d;8v0u}KRD};|HX=DtYSEDty4J$nt$!RymyBA@RDc*RhO5uyy}2E
zCLtlYVPwi3AViB8v*b=UL1q{}cAr@l{|mI9!w!J8u07rg!~t!-PT$`KJeiyJ3}dz2
z+weIr-!#StUH;Jg-bkD%Bp}kv9Lejr63FBFJ|1m;oJ-egT&&LB$*+Z&rDuW;gIqP`
z*Zyl(r|~Pxl{f9d?Um#Vj7i3r<+EL<s9B12&8P3y79SZPq|5L<4G+yqKLd1Rh)!yx
z<sY~fTlNpdF<5V;`(sNIhHpBoS1zmhiwk{A7#9juRZMB6o8gTdl3<%r2M>*OW0=uf
z`QU_sP0i#qVM}hgA{He+i!8E^X|##wYxGv^i@&DQ-=J;(rv;c&=_>l~Kd}yar+Oo}
zn2vGHpT8&7`Q*4Bcsl=@u@CJk_Je-xR!YNZZ+ZgpCw&`7=0UtSe}#{T(-q9uIs&;k
z6U26b2hYN=U!_jlKhrNgx!>U=?s{h3W4%6;ZKdG<d}W;WIsb>QvlX|UjBb_>&129}
zTs)S=588E5t+BzqhisETx$7DK^%O%jTz4|sRawLQ7sgW`JokIV#_NZF=q&7eogFnu
zg`I8hfMus|dEOO|=HC&wUAW<dumsw_iW5a*X{|PtAHWg70ts#G%%kve<!pBWCIM0X
z*xVM+%2=*-6t=`+P{sj?WMl7rii8NzN*h$*1kP^|54tRqy_~S5EW}&Lx$`<AxAoaY
zPJNL%0yGsOQif!lK6PDbbX~8Uz3>70{MZ!#@vEwAB@b<7RMfw8h`3K&H&G+-aF3?u
z?ipunylHx4p_{z~!B&JK99h`+?5S?S*OJ_cvNf}$;q*;4--(j#W>}L$4Uv0rcjJUp
z^*I-zu7t{~$vQHYiWF~smh+P<Z(&HFOQPKK?O&0JW~@tm*}-z^Nqc^a3f1=Hv$Huo
zVp$mr*#~+XKX{HrDs9q>rDcmOWc}{!WsBd75&02_#xPzzFvE^bPU)-wPic|9*P3Ce
zECc*Lknf(FuJ4LB2y~%o-rO*WdErrteo>8Oz^ru=bezd31U1bI^XE)7qthqXz9FI)
zFY`Zm?Zl$PAQ~9vvCLh^(qap9IK2BJEAzIy#by0Z4_IC&BwpVzr1TvLX{S6mIl$W-
zBL-bDSyG-jW#A(}cLE=`u9{oF%o$d666MTf8^2za&wWjp-a3o0`Dad2nKNjYSOa#{
zKer~w3nQy_8sO(vbdSUl1tnd?u^0%nE%w_iYJc;|i>{lMfTa@TVc*96+0@UiVe=Hj
znv)AF;qo&R+I!u!&XuX0E+TzX==QQ`_SJng4b4{%+hr)}anx2Rj5N-o_=y(fl<H&c
z<iMBrjIei4dDb8KnZ7+m5h+VjcXbVWxYU`ua3c&gB3oOlxZ)agT)1D|^#C7fcsO6N
z5|;^65GA0&4oN-Bz#if5(1b&L7Le97N%OQpe!ig7or(*lr=hV)t`h4Dd<~>AB^wTk
z<$oyTImI$QR(v`hfy*j8MUtG%glR!naB@ld(KH7zdU|0oO|?J2o4c66N1(ErmsgPm
z;*L+hZ;gr4nt5z`QW-|SUP#f77m)PwGjvCePaX&=DD}|D^T@j3bU#elJUAOwa>l0+
zOkZYN?w~Q!nCu=7rQ+cy`ym=)62%)=5tXH!qTW%CWSq$C3akFX)>h9#EY>n96py8h
z2<kH#{VmAeIv23-vi|6j?wLJsA;0f$RbOH%D<ea6c)BjMH#y?ydyYUNN4910L(#&i
zG5Y|`1$127<>3P6{21vWAovYqb-c#@u6?u833R?#>tqVAvP|^%!h-iS`k&sOL;nM(
zljF+OHC3Z{*!*%*`T|?r`Zi95v3MYIM86^}LKa^-eZuw>zJ)H1ifXu?A9~FjpKlMY
z$keBWcR`<U6RoR7&W(U?X$>Tg84c7m{VEeU9#{+7G7~SRbx3vA)dNwkwYWrmk$OP-
z*Jjpep$9oLAp2!3)eP()bPt%SV1W0!fj@*FhW-WZ<`l=n%lw1|9^5s3d6;rN%=WSK
zluIP8<~#X7k3C2vki~#(0|bwf1cU2FsQ&8t97RJjve^;#{C;)$k$mWmcq()-l!W7>
znRI`i`;5nru2Kq1vqc{`F}~QZSX<Tu*bcoSEgpd(Qt+zIW3E}en70+c2l9F^R%V^n
zA9vy(kh#@^;u><2Kk6|~l6~6aei*(bCtUmUc#7koW9`$2Xhb;Ia+Ih}L7vmBU?C6{
zr69fB^h~q%`=Vuc!39V84I|hz0K>%~w1Lou3JHiSJxm{C8AZL_S*Yg(MR}z4C9l7L
zP6ghi@~iZndcNl`82l3z9hHR{By?l-r~W?4l=~^NzoQfL6eX7ojIXKdk5$`pIco+k
zeJ7I9)h9>AyiO!xqjSEM{?l8(r*~m>N)9|w<KaB)8ZGeFew-1=II!5VppDK5E=8yQ
zrhlC4Vzm#O-+KSt@u&wIaw~DH(K0glcr?ese~F43_E@W2b3<vazBfVO5Lx*_Qp9kk
z-tBm2ol*#S`*%=#Kn<%`alY$d6`Ris&l~*R$j2<&BWn$%>4)dDAz-y#NT<KKKrZ@u
zu&G%a_VB6YvV6Q86-oDSv^$K>B^k@NuGanc|6}hxgPLl$_)(gGQdI<`BUJ(Ey{RB7
zC|D@cr5L1!9(qy1LKBeQ1S!&c4JC?zNC2s!1&|hMLJtri_u+ldIrsnZ&fG8e!_AB{
zfXUuFYdx#~)><&*<e)uuSvfzycO3_;&pGCUF5#)zc6je<rrwWOf|pJr921SJrIhzR
zI<r?L7>*OmW89o-9`}Dc(}8_l476%|t(#Zc7%6Nld3A%m>KP{{D<vZACV3_k^@CJ5
z8rj3sQ=6@qS=D62UQTAKzRU38fOT2@n!-6P+g-kB&(-&aJa`?msBXV;%1PsNQfQ&O
zVt#SSZF}c=9i5V47TfmH@WJw9sY(B2CwWiNtC!GH&klY*cG^O%9ye-grW*7to;{<;
zwS<k6`-#~H_O>~{TgH0Hb6n|etN1e%-tqa|-@MX#<DT%fYdsz0Sp)}KQWo4%UB|wY
zd{+*&p{HPc#rIuS+m7j$u<HuG*Ba4c63?r-1Us$VFGbkEVz@uFA3SbXi+_J#+Rt{@
z;+@CI95#kRvMt<yR!hp%|I-xZde|NJVpq)Sis@T)JeMtYW#h*=R;5hZyvuJZ?}a_E
zCQ4>xH~?4k`pBI_7Z173)+J&yp9HbLx^%9B67O2)rJ4BkvduZyo98VE*;$4rUH87~
zG8l&$rSFKfK$#)tR6M)MmVq;VYFml(5fRS;(J$b+0-`M&cI=k|P#Lru_bQ!~rxSJ9
z{CYPVLLNQjr-Qpu+@>^zxeUT#2MSzWFKA7XsFT*TwwdJ^{%eD8)BUONotTY)`b8=E
z`8u&i5i-$-f|a|4ZVGB2YB8Hm>=0g`NdL%3kG?M`kT63sUO9Xe_WSeZ;N<uVwCa1-
zBhB2awVJJ_Yn0QXo7FVatFhcTdc%^b;c<(`6Yp0l*4w#<=CI6f4Si!@g+2({V4JG9
zL-I84Y0WM$!O*f#-7>z$#C+d6e|mzAuX*_!_CCP&6<KtQ+ri8`-<+0!H{)BC)X@w(
zv#MQJH-y!zG<n?>f?o46aJ-wpaxW{yM#u*_(dfu;<d$$Sc3zpe)(tiM^$O}kbmj{m
z(RTBFpAN75Ojc`An<+0$<;S&1b-9PU-f0^+Nq1WcZgE#shLA{^$ML`u*3<<oT<e$q
zD_Fq#vH}M;W;%<u`kHA_UYDNk_pOWAHVlQ3;b-;UdqOq}YCkpboOY`pj0cYn+_+kZ
z!Z5m8BeRZ}jM;DXZm5HgAJ=|%>AG4=^_XwjTtQvu;GA3N4uSvpo#CLTqCyd-P<<n5
zT;D$9?+5CbzjpG5Ts`<uo6EFOEDcUJR0&OoYLZeNvDw`u3R-yh4Q$WUy^|0AGaU=h
z4<p2=BWqdAb@H9}j}hIB6wxeHh1cQLjO~NhQFg{%WGbme4IiaDW0i@oaeFgzjt>`4
zNRkD#>??W^(rlb>e;KcYn!5SWW7LVz-X8`2jNoK+C_+^?wr(k{Onkg@@P|)ADg9y1
z($;5|eEKdvhJA89@$u?y^b+u3bEml)ue`HdoN_L|Ae8}yiEbj|Cc|yI+yYcc22~nr
zen3gN!uu9JKTGx-7Q6@D?}DoTSV2|(_rs|wGo^d{wiwcT4grx(64joJFZBe;Vx=i=
z500_1*inBTV(RD3)AJScjw&U+K}_Y1+9sd9j;LydYxp|nbZkeaD(MWK$%~0=>m(B6
zD2*xa<ua8%RZTlIb6mom6TqZ`Tj?hpxkzKKd)SYv*xl?+7wWxRiRz8pMk``_6La>~
zP}N{DvthXfdiil`TuLSQC381dNLJ}{e(lR1X0VP?OK>Qi@2iZ7ot+RETx-)FP8UUg
z*97$}R9s%^y~%~wAz;F7rPtc1*1JJh5u-9&@Fu6JhRT6#nJF+)e5}ry-Ep+U-c#6p
z-`KU)f7%ywb`K?GWk;sLIrD(64yVaFx@r@AsBuGq`pJr!-%1{^akPzQ(P!5M>pHdG
zxrakePYsVPKK1swvsk?`^B#YB_AiQF<A$kwVEyxdMwJ&cJv{*{zs|nR&4$_6TJNe}
zlpY7dHYRGp4WeotQF2P3&xwpGD=8_laccLDH07<heVKD!D7BsMj4CIahP%yo%5$j)
z9pCyoZ!gzqc9Vi@d3E)OZ1YH~YbbKG#CRuY_6jE5qwiS^hvHM;=7{Ry{6}dPBmv%l
zBEiSM_+kPY2DXsd+YRD_uTZ4UQS>>6;9Dw(aF<)OG;tq9fy>-alZUo)D7a!9F|GLQ
zcU*o@aIf4bc6lu6DZVp`J$Qbs(&i*8x<KnQPOkjiA{>(en}(9%rkj0t#Lt$R&3rR|
zPJ<d5**pKj?q(AFm6MZGV)mC+aoTq760^o_wJ-32%Fh!GZu9Y>!6t1%CtwZY=67`m
zPnEpXL&D@lt>X;U@iw>)9!bR=P_cdBO!sGc`qT?15AIhjFak3wH5s9wf;)^9kt5i_
zynD{{;L}6X&|r&t7xW&3$|izaMkzCF3_Q+GXutDV#a}&c--TEP*|R@_yNZ(r*V+%|
z&zucyi;9Z2<CSw7+cZVM<(wyWx50{KLK^rZz0Pl#BO1X@%78jx^%|I-4*G#MuC(ru
zOzgHR%FoQq+ytd<UfOoI&uTBv-Ikzq9k|P)3QAqELTsFR)ho-(K4f1?OP#4RG^%`h
zjwYHmf6yqCzUEO_+nE?CHnL>wk{oy1=eP4U0mHWEvAQ>tl>3Y`nFkqZe#5HA*DK&d
zfP55>yj$~qMfwA=9^7i4%a5PQZl)U3J{+*MuX8~+jgWv`$6LXO(v-HgFe`;stkZP!
zVJx87W~^41w8r;1m-SK@?sVMd!5+FtyiG-3MP({(28}AWoFVN^!65Uht9Q=BgwlHJ
zrts+f{r&k{I-|1S-V*5!&{u_HEZQ0}@BjCz5e81@|Ks2KX82trZQaSQ<C5W7PM(at
zzmZxYHdd^DUv2EQuogUu?>gBzBksp5CoT!u)ha~u#i`ho3{=X5T64av8VG%l6cEG2
z<Shn0ldO*CM?IBR!eTX|=&kc5Xl+vE#a$+FP&bYklCI9q&Qz>_Xi5f&u8b0WVPoPk
z)&l7fGN9E}^|%8Ehm3xlftfazDbjQF*h)Pz!ZBX_fBCXk8(k(TLN>wSFv{DTg0tE@
z?s(JJJO{UegNdj#D<a%`LrFfZw{-wrelC+T-4icP%01o|Of(`XzmuLYtQ4rbg2kSW
z^H95x)#>W$W(N0&)pI!4v9kLf3*_n<)LFjHSAFNbG2!LH8ZItXokXTibxegouHVB3
zNxPmP5QvtM$S1k4Q!Rx?ZtD2?`33bLr>Q>mEcR`zttmf=Qm~(^8LPI_Q&3Y=lS7@N
zPwMfw8RFj?Z%u}3zKtqYI-<(<o#fzMXiL&&l2_zdsp{{-AJya)6b{}TVs%VR9`&Qp
zaF``q_+NJ9`VCkc)B6zkRA4aET@<&9&*pdEpZjooC*E#YDle=pOklJy$yF>Ne_W?m
zbPY=~k5zjfRa5-b$%r|LR76lnsJ~cC)xENEW2(_ZLoV%PgNNFJ+>DyymJ>wX4c}k+
z^Jwzvc4tlcK@1|TcU=m`Kq_Ayj}1yoL5~4h@9s!U(LvVtn1975k4uwUIv7vidAa6p
zxT7>|y))O?3hQt?mPZKmvib|;d09!r`_PssWTjD2IVp@REp%ffx`oZHzbfYTY!{^N
z-BPKLd{e1|?(MJS-x6E=@eq*zJmsN2>Ro@+-rl|j$|;ACQ5@ECZDZqP8SF}BKJhKC
zBm%@k(L+IxpJ>bH!c0N-pa?6S)Z;8$EuK1_1TKKVW6^2mPLZ|I!D?VYX>2!UhbTt<
znwu<%Wam_6?_*_bm!<ZRz6~Mo)sn}n{!G<k=@jHw$S4&@52V@%3bI2ZAb|!CSwpUe
zAyh%~HMnZ{KojyTW-WK(Wj7WLuTLJQx?fgXw0K=Cj(OZy<wxF6>RP=Bhm6bM&685#
zVu)wRbyPjLlohZIYoRkRJn<66cRYBwYG(F=nsBA`@?ehezvldw_wi0Mtu2l|K0fA*
z6i|ukHSlqAkgkjJ_*plDE_cUkAo37vA+@&|olLYd{3=mT?NdqFLmx6yppwVgL&|ul
z<wRvSiY}(51dgF+s7lD1LLP$k)C9H!mbO)ca;1WnmXlZ>>gjU<BGj)VfQD(4qJE8P
zBs>eTv^l?5pSKVN(yG1DF)_gm2du8ya7(Zwbd;>z13v;`h7&9!0iq_cACqN{8-rMU
zh3s=kPtx0lILW0s+on8Cs`64Se#YtW#CJ=j71kn54JLrUeo--QU2Y38A49970pGus
zXFwqrH%;O?yNXlu)-xTsot>Ti-|+Ypr<|y|>Pe5rv!e}VEmO3p9*Z%6^{zr8Xh>ag
zTN{x^02-*2)nD#~XP9>D;$$EJ+ki#Ah=9WCIBXUfmXnLC4>YKKBl&|u$y1tT^<ySO
z8PvdjSX8|J)8eAh74knrLmnSe=*X^06U<@69!SI);~kDfy$E>@VIIGbYNInVMEVdg
zB09U_KnRc_usfFT9@Y&H!|WV#)6vofI8;i0MCOm89@O^4)fDvdxY9m{Cnw*qPpJ6?
zsZMig_#6I?<#Kz#h?H1S0==rLYQHC5IRv$b#|K~f($>b!L)kh!IZ3zyn`!%Vkh?d$
z9k8*o;>)#3#g7^3J3T!eh}&5wz+t#nDcbgTp)p=CSg^gT>t?2VC28__3lIR+6~$nv
zT9)NJmYZUq93@(#+w$45kiWNe9cz?2Ud9e>-hu%9Pg@ad5}a7jk!vn%O+LMh#mQF>
ztv<(|HYtO3rb0APg>02kk&yw^2&4-ZhifZaDAilsIg~|EJ@A8wH=NcDH%mUMFCf!=
zvfE5fML%WEmIe?0gFKoFWZ3KgosK2qTwir7Gn%x9s*bg^e{aXe#@3VKQtjLg#OiYV
zK9}|wbG9bkye=O8dj{_3?;p{kpaD~_Uub%jI;N9QO!Lm_U==)R<@KSKr-5Qw{lT<8
zE{qhxtX*5&q)#j@XKZDy%b!kN!N-Cj9F(5<#jSZ?zs{2f1_t8w`Su+a?W0_ZQ_I8a
zC5+mE=!u`Rpi`NenF;Pe;(>OsjQ7ksoi8qHaxf>~hhk5IhcLLCMh7ex!q$cg+6K|+
zliaXQg*1}_z1Wn%9;BM0ib{Yz(_QjjRvW&Uw$HnTo%=ci7ch*snC{|4>W{y2pDcfd
z6YY<-$wk}#+UK4h{;O2zXDlTtx#b-<xmuRyhz@&|S0l`HVe4A7I#gCSqA0gLQ`P^D
zv@-RSvV_DYesR<u3MJlYT&!vyKAMoNw$#p=R+5mAP}(^Gq~##RK0=|5dFzDDJtq_`
zBk7hOu!!aAwk$gq0uHJ#VU48tHXuK1lWR=foe=GaETeBWvi#!HKr`mq&kKX<F*Kvm
z{6SNxHu%_SU2bzFKU$XrmLP-8WHyxydSP(yUe{f(=#61t!!psB`GYpOqK6Mq#rES(
z=_4!tD>*xJIqoy?!L=i$I7cdoS$*#%|H8Sw%UxTO+RVgx<X$T8zV=@2pa;a=eLGlR
zdEX(|H!lz=T+lamPkQ)FP-_``azf>4+h-nS1*J>b*yXmFO;P+A9o;|j!v&+t%+o@}
zNZdGrtEVLCxl|NL1IT%(U$@XixyjY)X65iuXO07j6WTf1Yq}^Yw|$`VAj`q2jj1<?
zes6Ct15`6A!1{3R-l_?P!C(}2yxML=bnSzvc4>LMLy`axd_6ZjzJXBuRk+D9dkdLA
zGMJO-kitBo{jRdI63t(qKz!NA8sSDyOFIVaF^u`r*P2A7(XJfhX%7-<<qd!B2Tr`{
zzI{oZlv7kYZTm^?Vpry+s;LI=7UZEL8-hq^bl?s@DFXt)hrWk(>MxE>du+~r=kA+w
z(Q5imwhGnhW!JGL%z|t8Bl+YeCMI-873*Ti)l7}2ze(Lq%<r3tU`c1`-)|}A-#^`*
z87iC9>QZ~QvUi!{wp)OE)wt78p0a*fc|xW%0NJJ|8(TWsj;o^7erMqF2(QBZ+`mp1
zF<UFjY_e^p?jFiRjB$)1DJ_shFNZ2(U0vO?wq;25__&~CgY*f$mWIa75YY6QOVdg|
z)sjVVNmIwzuX%Caz@n;?OEo_fWrU=aWy|_LToziLzJIgFq8HFGQ9#*y{Z|8lbav^4
zfDaDJu0&?%4d!$@qyidJNfY!)uoiXOB6d-JpYa{0>*dpxHuqeX(#||57N1ME7%B2v
z9_rYT-^kqQ7;73t?KJJ5c^RDsPSm1F-W?5Ke?gz}MiJAbJfzSj&^cSuK)KGiPFerR
zx^=H!U@3|wx)-TNJnRoX9q{XtGy0ckxfU~U<}{Z6e3|_@#i!UNRf?#Xz|K7nKGzME
z=s;>V7XPp#6X_(h$Hu(=I`*{Pc)#-7Sn=lqS>QF?Hfar&Ke_wrN=ORY(q2`XAQ=LO
z&Q#m=H&c0)cb?8GWEv@@jcXox?nHAc7fGqPmkt%Mv2ogbjhR_b)H!M(><kvnH0_O=
z-eY5n6jk19&@D1f^z`yNIq!NKta-M$PrEbVVE-3;2ttZAV7gTg1A;`e`qh*BF~sbG
z0z3RuA)RktCi;AwgY#Ym1pkEz$MO>fU<QH{z&lhQ#VCW4^^E^UEy^VWYBrd<>b3#S
z<`n6%l*Giyh}V!T*f`DGog_4QCf+FzmzZbWU~N@3x2t68#y|h8Q!|$-SK6~K&%5eY
z`Vghax1l}PByj?pwl|6zTRQNcuKts}$~qYn(T_fv+$n7n6M&|R)CCgu&xr>g_Q;b>
ze(V`7HI>Iz)udMT8YIf+JiM;x-TQlVvE)A_m-n7M-kp(dg~{ry=b`l2{O$6*(*98Z
z)6>)b$+~zW!=iH8oHLV+vhd$<$nVF)j3(~AS?d-XVIJI0SzBIyRY`U)`?10kKzwDx
zZTG&2`cwi#dxgRug(pk~=|4Ns^~_l?Pft$+6DY4khT6!VWmfjUV@UnO!LATuvRd$@
zlgLL=E!DDkhlDfv?kAc4i!Hy(!J#6zbCTzfS93pb4B498vzRF<AyHBFSlA2#v6QX;
zJ_)d9RO0^QJ)=frF1oe45e~WS%gf6*29I6<!@_)b0RNh2xqs1J9S+DrFTF-;!E|>3
zT)zdH33VFuTQ!(w0LEPo_>5#+QS%3<0cza9;wxkr6C6RE`ZW*^?jk1BCygFKT26@L
z)!~Si#NQnTH#dHFbf^rKu~qi&<0+!WW%B(xmaqlZpuXBRqIC0H0O$I6wGa}sGXQF|
zT#p_-QniJMi?zy2Nex=y#&U!wejWebZc4l^;9yvH({As0x;DAlr?ry&@LwiqtV^%`
zSlr%rXS?d3cf{uE)$Nc3yykxy@PsL$bGKKU@XA%SF>m4yIQaDo%%bj%Q?_|~Q-LK1
zDj#za_NIu7NtQwC5}&cS#>G0l;O+poEiaBPgO%^5YrBQvT3uty^YZY;Pikm1S~*mR
zJc|?5k4?VL$1WCdp&rQoj#KsDuW2NZO2c0gPfv(Y-ma{2!v_(U#Lw!?p1@K+KrjHU
zJ`8j?X<Ro`Q2t}#0FO%8$gq-FQ7k=(nTKr|A>JAAwwg2d4H)ovupTagKp+GUg1CVO
zQ2{3!fKK`E0rT;rPs_Jk&qV0p;6N`_Cr8*%`({!PEdzsH?|KRXAO)6MfzV;}KlUQS
zhl2YRFgi9Ose1pqzh-wA2g}UNb{+w3EjKwM{V`_?XzTK^sgv!w9SK@u?WkMcT2fSL
zdAT?nD=Re>CFN@XJpvQ^gR2gv!TrwdMT2NS4_P2u4oi8O133#``f=tF-4Pge<%)z0
zGjKLe|HdZQ#^&a9txk)=R_3m)Lf*@O*s}WH{=*N5_uXzgzbAQtGF6#V4$iz{GYBw-
zzR>t8*i_b|ODpv(`*AXkw!~nZ2!a-CX@VFDj5zOZUWWtg<+;9;9w<@2E{eQp@_(?!
zP%kT~W&I`lYn}$ugP@y9gaoZFzMf}ivhi8K#>NJBt}g=&EtI_?IAl@;xU$>R1U%Hw
zoG@=dWa6#C>W%JV!&1MFJ98pM|LCNt6a9W^X@6J1O1nt$(K9ExSt#)E?_sA<X&x5}
z?Bc`e^g1!J_Aa`MtGLc0(12kBV35Uylamvoi7-><xf1DWsJTb4te!ZFDMuIX?QhKS
z!=1us;`=5yqKdywoav!dG4V`2r!!HMOCBdMUp@;QeSa?1Pr3ID@KCEgt6DGi-(OEL
ziYayIpe)JKGq%7<<#C-+yc|%x7f>7yC%#exB)|9{l7rwu-%=zh(AL)0Vz1UO0cd`J
zwMbX$npbFbC<_#o*>_m5FIDP9uKyPcFbb3rT{A>Zf4gdKLlRP#bD%=~dcY6Y22LT7
zEcl$6l$zQp5jdv(<YRCcw64Cs9)%_#*N0~h`1ttRccLn}wop&M+BofQrJ0Kq^aEqz
z4%9#oV&00iRU+f>)7;fnuME*VQ4mL}+d-g|L0~$fONw(&sDOP~O>zv-F&)?-jiYTN
z7B=o-A+f|%`X@|}5}KzhR}`?PdAlpm@IW#6@k(kterrE;z*?l+E;9U1=mt&z2iYmh
zEsn0>XE*EaWJ}x+^O#0@_f25}%1=7XbfgDMmLqFK9#!Xr<(glyE<V81wr}d=%Ka8Q
zJUR@Y1}n>IYP4*3c9>BiCO&-l;LAX27zKntZ0CB<nt47lkL`@i1xmxf>obNasYYLS
z;~=`{;mo5VTb`OX+_9L}Ka0wHRqSqzpxB;x_t(Y@jscrlQWK*!8gE)Emb=LAqhr?&
zV&W@8mcZq8)E-TP-PZ3oApj2u+U0gE`r;Rw2poDsJA--v2tceEDfGPY#LP0nGB`&?
zgKz3bSDw*DMOO}VLA^^;)qo@6fLmQvqF4YZo~0=HX`g^HXHDkfXjFI3?>KX~cP%+N
z_Ot__p<3^9z@}4G#h8B}v6Qa(s(P>9JYD<BT+d|5V%LstJ`f`pUY)zArPXKpB65(-
zA+QxB$y_M<NZ-#lIN{WQxA$2s&=3Spiqdu9f6BBm0UTY@?--4L)waz#7EYB+0Tm+C
zt37J^tF|?F3_|elbZc(1ZE0HQsO~T{2_~O5tFkcvhqffx*80)PFe@L2sv;ihR;4WR
z5%|NDn7l*~_NcDX>2ybkjMq9E`2)jabm>`#7yA{0lh<E&Utj4C3&Bo8k61sXy7+$-
zPN@VIw0bz+G#ik&tEF+PlU;9N=g{g)4_ch8)zYO!f>zuOhFrHiIy%bH+6V^Gp!clT
z;`ADb8xvEkAi<!aVd?4Gt}(r&+|faA*_9zXkiQTS6clV-#d1Qt4*^xjHYx3lr&j|r
zL~BIP(xOd;g@qo-br#^kXr}b)qN`+pJZP$A#gHP`Re`V*m@k=D7jyu88r7CxeuwoC
zZ+th0IMW5mZab$#zid&9(taap)A`IPbaJ;XByD$XSW_VEPBuBK7>jA6M{9jOz84!5
zm4aTwvWPEDSpKTjXG=<nY9xGgw>OG|Ff<X)MYN2vuunP#_k##PAJ^RQ)Jb{`idb9A
zkiWUB#AE-ek$UXDR3WbUow|u;YhY1{H+~X4EYha8`D6?z)Gi>qEM|%F9%o_9*XfGS
z%?(r9c_=a0OUq83V|K+f_Xbw1^owZZrO+ZHC`hI>WdDu3va{wt&UHF2=JVt|zP0Ys
zQRXTRDFgZHe#CkkSrdVVbWY(^KhKM;hWHHWL<J(ii0OM*y&{6o|Hnl%xe>U1c>EiP
zR<JjI9W)A6gI$#)4I+DgWKa(ps}{o9U3?TcFZWYYQcghB?hEo#yl{7S*Kj+$)5e&e
zsss)%TKp05WdEARtB*CwVw`}b*I?q)tN4W!9LwD&o-SLBaPC6y$U!Ctzt(UopVb~q
zj;<^I-;>7+EhJJN=8xI9-L7mT=w+{Zt-6D>kC}QAljQ@md)acRBaX`6L`Z+R!9$u4
zrDi9kw|(dD^w-WUKsEH;oCxlfAOoRp3*pwWJjIXy-j=DGvAkp43U;LDT=*wb=huE|
zXKo1D?9#hF)XPRN^ZIMuq_NoK$~P34cr;;;d6;)(^5!?Tao^2kJz;;~m)|y$Rb=C<
z@x+}(4RUeFe$vViD*o8rFZC>A7n)SC7Sw!^fZN#E=)>&X>v6WMim{Zgo*c4dDa!vp
zH9(x&3I)rIH~tQ=ZjGkUmc7W|_tmo0N73j&1M(m7FUx=zQu;ei_~YE%jzO`Z*r5@|
z@O}hH_GJKHV5X>sc;?(f_T58xs878mCGTtu<*;Ei87Xk*T=7_K0;$F4Q$nd{iL7zB
zgKw+a{MCM+x1J9Tr2P%^_U06Vtd4g3fNB}!y45ij^mR(nl8xQ9<Ic|a4hx-*2Becs
z({fEs+C|i}AupEC-a1jvkcZN{qJsGjouiYJlO2&qlSmKe?0*tw0+lVwS^btztR}6U
z9EUpOk!Izcl^I*|Vq!f*UTYTl!^KYKeGcZ(=MENT`dEJya?H-+EYwzncn5ABe!L<w
zmx7bmSWj4W%mX=R<v~ors$-NW95ZpxetmI&fOc=e(4Hpr<sia;=#l)%r`*Ra-|FjO
zT}V8r8*Pj5*OwfR0}VVcJu?I7e+Y7gGeAI~@YSN?Q3HP>3DyNM0X+Dgo|a%x^Qb3v
zhU{1U&hm6Cx=1v$AErGEyg}rs<rucR0$9ez&E3|E)?>O5#*$mzniNmhUSTC|`g_|T
zrnxTmW%r$7zW(P9CdtN~$mu2kWv^<#H03?%>>nbFI02u|5+mHkWRKcEiSoz+=C&9i
zAF>CcnqD19YgV)={w846^kaMV!6U#C>}0(-<;TlUPVA4umSvP-*maWW)YjvS3zZo<
zDITr-b>$@EDVTuLvOH@uZ0i8B^*6A7AJ#~&43>>n_D0%=hc9&G0fAtEjL!T{cPtp0
zaY&KRuSDP9zI)o=<767SF^}jc|LJxt<Q3^$)^;61V0-dkUSyd$SkNZ4!4f{4)U4HA
z1qn*ft<cqhfyjBN-~~{qqKm-iHnDG_y1h9wyL)89*8@)f6E@||{gnSZG#`(wH56vD
z$mq7EL<a@~|EWx*tYOX(?0~w^1YYP9zu9=ud4^uBqif%+MLa`iILQ&TXWK`nh_ojl
z&DY1R;5zG10)A2h^)^@&L8N!RDh)*Np#uCGcXgtI)$E5sfaH7Zm#g<x*5e2mh6L=X
zI3gY?+Gi`(ei+a?xSDY9gvB^VX{na(x(;(rv~TCr!MVA<zP>kS(GBqFhz~3+Eo;C;
z%xEx|iw#DkcGZ(h3%s3|@&!{2Ea+!XS84cfbQ@FG)(aR6hWqvFmpYe{r*P9!s^iV~
z^9MuxHj(?e31-HffMFn5J$|H?HG{=M{SN-Vg987j4dk*mNf2j=xby854A0LuJA&2M
zqZcXzX?*hGGjaWx@}TAHcdc!ph-d8tBh$MM>qBju+;~upNg3a;pV*_gU7_?bXDw6%
zfz`G*Dj3r}QH8=c>IN%K)F;0+D@4!Bhg&rOV@Uh@MRm%RHE1aO-7VT?*{uGygsXe?
zCYUJ5z7mX^%wlSCQh65J29niWzip+A3NRB!Ax5MZEBw#$r+yuVD{O!Vc^zKBYtKrY
ztkZp|ZGIN|j_!5mEp+T0PcLFm1;F8S>Wbz}fxHiF1)DhSK(t<7<{emiq0*?NJk07~
zUm@CZ9qSkZ1NGmHzRN<oND=f}>{9gxU-Y~>ZM$m$9F{uX1&+W+ae4*@BZ2)(I!D;y
z<+`Fn6T_A<P(oli6BRUMpB+ITM~0_C5I`()`r*R-HBeJtd;L&w=j98su_uKift3Vt
z7Xlg=gvZP&w9=2AH=~VA9_NJ-k)WijP8^5{@^pyh4zx(TL<|`G28R=XCqg-x#5<(=
zlP~T98)Sb9B$IKY*E$`(Eh^Rw?-ptu-83jIuj~lw1e#MvG$R(KhIBFlm9X9&b4y!Z
zhZK}y^_e@1Az{c9@3DY3nw5E6w?sIk*on%Dd1I%>V|yW%j1=Du5Idn+=afSD5U2+?
z9H@$ApWG=O%t^)k1Ub(iTU%Qyn_9DB{B$>F$kkZ7w)Wn<dD8_!hl;Y--o%wRE~WMW
zwM*WuNMPcTtLAPXgbIHwQwNd8Ut{YYFj<ciN*WZOi?<_rm@+OuuW&jGs^Koe;Jh52
zofmmhalvjQG1ckb>OAudYXZ46L8I^Z)TlDrV6EBb`d+=?LKHaj7*K5*1@)^%Y#Paq
z?WGJGgnTGFV7mG)$S8`U%eX49^w;xH2Th`bFUB#;N{gHZ_9QOWMwd>XS;93OwxXfg
zCmZF=)^02PQ*B7p>u)lDxy%b6waR{Ztiw+b{Xrna^2fp|$#Q<!FCWf~A}L2?&T=cb
zr$z5rv9X?ur)k3fs;~e55C7kwz;LLT)nrcyF-<L4($#6@FL<hSD?V2r(lzBx;Y}!l
zbk+mW9--pR>_fVFX|@rucuPovZ0h{6$fnmUJECQ!GOw{06L7?}xqbo1Nv^as79`fK
zc&%z`gG!DZM|#A@5%Ft$EvMM>5@XQl8`sh>$j{86As9~x4>{xoJ+lI~vTN(Xg=aI~
zIeH#5p?Y7G9u_}t6&a*Wm6+)jwVJ%bZ|O<;;|4(MUVHk$J9N$RlUf<&G{dppEGM#!
z(OCx-3=6Ztgk<S)L$#As=>td(_+9(S<`a%m*8);YgFa_;?bq)6&DyN&*u@_I;Tfb(
zB4r`R$S5(!RuASMYfEj>LF$ISOLW;#!4QboxuK!dQxa4{ay<OBMjA`n5djg-D=Y6A
zaKu}0)T59w+vc%a4s!wW-<J9S*3e<rDsD!D&gW_Ow!d~F3pekdyMxQJkE^hgq4mfe
zpCnQ|X|U$tCwUUH^XWQ+n=GGXNGxv+{@H)kgjPhT&CWdV`=ITS+J9K%oVcN^Gb&Qs
zYU^9-j|-Q%r&0a>z08jZ)naGIe#{#u6(>@o6sx!4S0eHyeonYoIEVqbX5GG-(}rS&
zAE&3M)on11BPHx@iWt}Cn$t>aRVBB!X6}dDTW1jAix=$$+`=$<J-TG|<fu=y{f~F;
z`01*v$0-A{aznkTeYpP6a9mr-W{=$^%OnfBaLn25?4I@fPr)aMB<iq+ao|!t%f*W+
z5tX(0j5>$i^Rp)MWcU3dQrLYyt5^=i%1G7JYOvnPrxSh4^K-%o(X>;s&w+K(`XoRt
zE;A1sZ#7rv0C3f^m;V5M0Tz4_k@dN`FK%kk@Bz!FL4HrCNC>oVUg6v<Dg-KaO$%Tf
zVjG>u4+AC#17&#pVyylaPKJ`VzhRVbe?$8`L@%;^O!%jy=Ea{+24@*5x}ATz(H4(d
zIV*B7AVuGu)BF43Q9pFIi|L|0n^+?5=1W@e{bM2cUy-O{J7au#N~Ve<clTqOoh#%}
zlAwwZ=QGSG1a?~HA(nP>O|xHEcY2<Z;wnJ!*Ku%#Ctt-z-#wSi+9jk_QFwk?*f5ax
zwS@hvO;(i<1IO9ruRi+JlBSn`4$xR1Xp^g#zP~?T`>M5=3p6lQrDw>`@3mhUouqEA
zTG+F^Irm(h0-Mq0N2$VoKr=fNB00-DD>z#VK=l1fJ&1+KF7;g8IRw|N4u8ABvA<u5
znDqWdvNqZPUUS^-xDW7~&Ohc8i?ohpe?PVEm&jN`C5aMm+MPZ+&7TO3cz>VV%yq=0
zL{;GqtLhsbglI;BYFb#?NcUK@h*F&C>uTrcW#mnxKbq(sh*y3i5sDE~?Vc01x1}Bw
zB#HS>CR%@qnk-$nPqg~3X5USK1wQL6(@d;}C91U1`F#1|S1#ror0i-P+eKJYoDP=T
zRGppVk8f4I@+($G0#BC3zv6Wqr??+4w(~1DMw~oLAceK;jqSC{`cDrzU|vmu%H5wX
zWswF+nnR_54ZJyf<&pPPjzgX$AE;TnUoJlPnV1GZ(LH|d%BD@hY;RMbv9$ZtmGeJ+
z1mAd-K4PPm8ed?3L53LQvd-LPHLa!Z@tSp`;A_9-7g2GAolWJizJ*hoRwbg>uOR;Y
zFR9U^!!kCXyPCF*#-u7yxs_W@p5x|#%!$t?{P8<F3j6-|{p=Iht~bBVb;GS7)X66w
zu&I#05ZJsks~e})FHY8<yr>|4KPFzp7{ae=g(K_J!%xzC#y`A3Rl)t7>R5G?@5Qrj
zKcm>))3>=sE=HF*S&Gtv_CP*~hTq;95q!fq=x+D++`L!q0VB{^RHiWeWMV;N+PEMC
zxhQP~LSiTPiPcM^Z79cWUNN>G5-V0qnPBFx=CVoH%c{r8KR{1bICZiG3y<*OqdzPs
z<n{0GubBw``<-$PR8xkaI^v%`mwZLwAFz26Q*%kT3K5sD?A!21+1^zzd(wOtPa;l+
z<@qrAz-5GZ!&T8$!5rtYGnSO3f)iY6Y)r}(`c^<tCppG=W-uPy`x2FVar1B7p3BRo
zzY-*VshbUt(YqqDI{~TvHrYj2{LQviOf)&JT^n@jYg<*U%M-f51EpM|kDbTPhMR`G
zoUEwhcrX%{TgjtctZtQ`Tgj`NX!WP^0<Dv^lV931m6NtN{%^+v!c#9@H0DY){*O9(
znOC3pPI`Kc%$ubD+KQ^l1D1lMclU}|EfsM*_K`R3$PQX|4+Rh%G-FWq%`#wBgnfe)
zH@$VCxnfOu3y0!zD{hVnL63u|KaO+J81#(Y)y%zOUSS7X3RSHek@XT}3{pPH9o6Hu
z$Sxig16L(}8$}a8$BI}vx!ie`aQpI#h6Na+&bxw9oM})i{A!0QQ=>o>!(}%o%hHW^
z01r>rBQs+_UjF`lO_9IC&ZsA!z0V{`^M&W+$H9oN2&n#8KQg@Og9(Ms;IpBSR>e_5
zQXEFl6mj}4lpxZKf7QM7{&&k~ZgJn!&w|P>r9<U|hcc5ktqz=Ua78W~9efbYJ?^(J
z1gt0>`@e%$s3y8GMU2f_U;Ah}d4~D(<gmi)3i}EV`YS&Tv9W)QqLJ?MqxfZ;k8;!F
zg3QjwU&cnWPxYKMLWdRUG&NW4jY0p<TMbQ369Y3VUs9h)+iT^wXI<hdt%wW~6afyM
zN6(}!>ic&N+8#<t8VWQTTc<x-DJ9aZbR3FTHya&Y#pSx2<<%2lGKX#=#!g3KOHc#n
zh$wS#!R`+DzKIhzC9Sk5a+b6B%U5!dlM{)DoxU{^<QpQD16Bd<WXf9<CF7rVIYg#!
ztV{ZkgbL&pDL?mvyE5|oi|JBQ*lTF4%Xtr~L<`QnCz1xT?cdW(EU4!Bm%O5O?ff?F
z`vv9dx`Po_HGj7jBAw-WJ!VKF;E#v_vsd_SP-;=R^=|giKZDtV6U-GeT^NgV_u1Nt
z3#YqE4UR@MM7nNXyQbrX^$@R2z#P9%{v$DUpY3YX=nIkGC#}YV!Y>kcrP!4cW#l4h
zZ=+ThM*q%@#dL643#5@Tc69&xbo=o{J5tg2hw8^`o8_B`S@q#nn~3)^NaKIIYc&($
z!8d%TwWP8q>a`O)5F3d7-MxT!f(M>Q!mG2$&bg<gn;1lJ3g(ohXlkrZ$GChv8kCQU
z^9-W_`4Sy=bVf}f9Wmcgg6eDMe6}zxb#f)8sw;~xrSCnK(G^kSTs9%^;%e{GvldYv
zN<q(i%Bok_cy-al+uPg)hK*0inw#5eu22~*Xkoe6FM4h8zMWNTvE)C>jXiVgXi#b`
zplsn#gvB?#(PfKxIiLN2o?M*LFn)JJloPf0AVTHT9rb$!^}90S{jaA^8z-M$dc>q1
znjj@;DtI1FvfugT^-yo@@)d=^I<Nbk{-Sb>KN;UXCtN^mei-mfh#N;o3{Jidw5FY^
zbdn2H#ilDTAC4`v4h%bU5xk}dF)_n(7r_Bs7VU+Nya5)YPi`^X;DCQ~W(bo+ig}98
zrfmu#nrt5#>vK(fx!U>KS*|oasFVXpf#_(5xMKg@l$DBu5NO=G&rT7iMH+Lz(-~PK
zP)}g)vXA_lOPVw0Lo!r<fkkNDzW+Pu_%q;WQq9<<(%FBut}7=SmcjAkE7?OfwZorG
zZYt|;yWbjvWuv7DK3|C0egYrf-+z>`_+LY?mb!H`Ewy&c)IjRvdvt_G;PfTK2d%hU
zzk}(237R4WV2nk5qY-cvnkK3UY0Q%zm7Z0ZPRgy;0*TH#Y!@$_Q`l!^whghKzcayj
zv1^f?{k6o3J@dU6_IfqnkW(s|(>FP~B&6Q52uj9m{a84eRhPm{N_zicU<is|WtapV
z4y?anBcLPXTF<mN(&wc8!deUI7~Mk14CN_v!&hy|&vHL{WmN`|l=k);yTy0c`2_kW
z?V9n*{PQQL%$t?ISUpY6qQ5_i{l#dZN(p=Kt}dI=iP-fGX3E{5xLu{oAwWld`_mNj
zx?A_yrxkC=0~-yFgk5Hly34u5{2tIh$*%f=<-+szpPi-+xCN@&$G63ru2q!?&#2x#
zYqqXRFQrfee2Tc0w-v2RB5v(RRtF_%L5S@rM3bt^_Yl-?`ktD-kbY49*F6Zz)ulXH
z<9;-9ZJ$af6MC-IeEX<_zx~r^E^q=IR?@R@IUc?9q5f$sLd)l?$BJbCw8lxh)K%0Z
zJ!cYthNa}fj5&nj@tU{Rhxlq(&Lui2ONPU3;^SS9KkOP>$644ui)Xy+GsyGTjnT5F
zMIMj3E&$G$#v%5qOm`|cIr5Yx=PW3XDaMj-a+8*&*-S#olj5heW+<m<14tV#J@5B)
zgWeL_l;&3zz>&A=S7oVVcDM9n$g_lf1F1Hj#!<ey|9f5x(G`m7-6QS415RY^`xAmd
z{|trar}X%Kp~EL+v&s=P;L9-E>fj1WY<fQ_4n@&+1lb6^`+Hy`;i;11Sui%=L)&8;
zZ(;Q;%+{Dykl5M5Wt*qkp^JI;j8R!vDkUZ+<L5oSIUBwQ;$Z$lzz<cA1UA@R+wmu@
zrio|1N$$8ah2T(^sz6VcSyl6a@F$rPE`h7h>c<)g2D6uDKlpOs{1N96{`Z4=PVUBa
zPIe6i`XAvWHu+}B5qDR%h>QwUKK>~ur<9v|D?4<EQvRsEOfHPt?1e9I+cb6YL#JY$
zL}I_^_^a-!q@)smx2E+yfu4_LqQ>6FP3uX&OJKg;Rn`xqly2&apDcN(^^Pj|l{`d#
zN;mCT<dmK+UYg;0L46Rhdq_Xa->rDK=Q)mZKa!va-i$N*PMfW1lPXWpNa4%GzGg1|
zC`w(5usc#~M}H(0j)WgZ3*l-pageu_f8(5o&If)}7a|lAA4Oaf&B)G3$asL0isAJZ
zjsAWI=JWIGtP&PSydxHWOEb6ZGp_F+p!R){UpHSI3U_Nds9(Dp_m?Jp`jb5OWduA#
zUC=(c`H~OU=EJy5xD5i$uX?@h-k=X&oSzO^z2QN%c_(fw2=+;apIg8_<dkXi(9^ik
zJxj8rqPYRd++gu|@x*{|=G&zG8y1#U1SYHfE`+S#h4Nk1UFbzrKVb7|(;AdG?l7*q
zd@(lfIl3iLR)vd^%0<ALv?H8M8c8cIr&LpWTQCjTtfm;6rEr0>xZ;Y4l_!&6*VdM#
zX#F)#DybXxruY5wGW@udBWdTK@UA$?DTcD-qhK_G@4rHQ7*FUKrjE<^9<g4GWqZ=9
zEUuH{>#OW)dUR}N;;7~L531WZ75JxEqTpsQ2%PV4IHOPY5F3XsB;k$otQ6trcx~@c
zS9j;Cx_zD+Osms;?jkTfO5ffUZ}Gz1v4RKjE?PjI6;}3rVsdDUcZlod?N2Hdxun+1
znu8*xj6#<wJ1#Cg5P8#{;c`lkW#@dWQGGHiTKed)EZrP1APo%6I7>;0Mgnvtj`sEJ
zBYxFmK3JOo^=pP*fYS^ti^5a^@U;g(*R!KfOlIv74`9Sgo3UpIsW5HwpBar={{v=+
z*g9>&kxmjHbNcD%=}%v@5-uqgm!eyho_n22c17}B#SHXr3a6xZO-y{Tp{vOVBLCPZ
z)bdm7-PYC<(T^`inuu8~$_&+OH*f*OK$P0EC^ovxPfndW_b<!4OUuYSc{QPBpwz*5
zLtawj2*Q{Wuj{Tc_y}Jb-g^GQjHml~Fd&lq4(reeDO|hCmGZF=Kdo~LBbhu!h1j?z
zm+Y`lcniv(_`HDffdQM7!2^S%z{~<OxI=mMewo->;A*oU%Fk-<e84J&QxMzk{`|Ac
zV+)e6^s`OgXnR>@vTiMj%1K9I#NJCT^3Ivv<dw^Lm$kUrI{AEt33m6U&__7tk^jG>
zO#cdSBA?gxj;0xZB&VR26crou42#X}AvOR%pPijOsimcrxr-ay^E;u^&KqpUp8i(p
zZ-WH{G}nW-*+GI`AX$Z|wX7+C)Jmztk-T{IYB?)OJMUg7$PrHhz&2R>1^}Hjo8B<u
zA>$9D)xD!Ay?wR2H!p{7yqT#v6^T)XJV$7R+vOeht&NV5KbTMG_%9ZKz3jfuYrVAz
z7yAdB`K8YbBkR-tq=%JF>tC0X4jb{SpiATJ*)$~2QVHh{WYSe3?c(a-4pxw*agcqQ
za5a;e5e_$P7K3bvh}ZJBhvhejxEnv23XIeL4$K^A^Nt4761U$WLQ*!^*p&-oJG;Q6
z3Bua;ru}h&j6SHtK2;f+U3VB!*p;}jV0(fHt(k%X^b>PKi$%Fns3|DlxGQgtE-sCO
zx(%$6(1I`peG+OE5^{2s_T@`@40LoSA#j}P4B>KPiJAIA7jGx79U=C@`1}poW|MYE
z{^s)+BW%07dEv@-m!!rjt}35CFA|=txGqNJg1n=r{<*lY$f@k=W6{k+F`mFy_g>d2
z^4VZ^hLd@nziGW!f-WRcbePBXyq&{7%eeqj2*5W0n-wKC&1RWre~pcep$jt0M;wB0
znaCaYr9oSLcYJjLq&Bv1OL-}dHe%5?$RD#Q26DXpW)5+G|NccH_sQ`w066YbC^_P=
zm*eHb+_>PyVD60Ch-N+^q}MQfy*Q{AU3*g$kX%Fn6oQ|=$&6>!DMK(^oknLx+u2pP
zpTkq%#gzMH7Ucc>bcrR=%kSjvXIs~<zsZ*^7T@ik?C2<VyYgPgel(+Gf{9ZL05bz#
zeYX=|s-qN-NpzaySvfhKL1TgbjRbC$tVYnR<waM)$<ujonAf>J)7ExAfS%`Vg<YX!
zb#*m4!T<pk_lohrE2^ovfZZ*`wE*lBTlAzMkp`Y~P}j)LtJ4G1NGxh%lRl{I+WZ<5
zs%Ti4uchLR4eTkMh%!b@mg-*S9*nbrC98z@3$RhoR>oJqXZ+g5I=%P~JMlZavfpf(
zoA4Bzo2tI+SPKd5{|HP5DRh-17)v`(Pm(;I)+ezflc4=_a>}jIOwBJmoA~GOcqvae
zbv%Zwfe_by;iB=65&4s}ia;Kd_vP0pn)N#!(1r6y;k|{o_4L#Y3#~LsnmzNyjFSol
zrN5Xx;2gs=Rj@cKoN5;7?j&0<M|e(iQU`Cu;^w|@5h*evEY*MjkBW4lX>|W9z#W^L
zuEAdimZ>DF+k2t_%BMjY+iK(EqrlF|DVE3%e;&D&enA{rva&+=TNV`RM8zzgs;H=>
zgVl52`vPK`v0ml=hM5=uh9O6cAb6!GS?(NUoMFvFJsLBADY1;H{gDyQ<75#NJ1N!A
z9*uhWk~%z$wnRjLG+Ld0Loo4W#`W}})MFBw?(k=QFO9WtFF0?$f22EWk-P9?%8?df
zg5B5PNIkYu2wV&437sqZ)s))+zw=)yWR{keHeHI|QBkj)Qjk`zTke_m$WZU8dbboE
zkuz2^r2uPl!8Q~W6yQGluNUkP0;&I^?>-4od@EsCJd)W4ikMu|lXL;FCrtP=i5qU5
zPW#og8yPxNv+?Gxgossk^}0L>eXsHH!R5lkKBTSog`c_?jT+NC8w)D89)c~S-QkT4
zOCrC1O+IESj6-tn^eIwpmJ^06OF1S8v9-yz4Uf+#ezgOACGS6CRxMF|D8E;0Qd$e1
zE-OPBY@lR+E_c0hj81;a^#DvExqPcFrG=t_I4lVuNq@l~%2NqSoj!xO?L~KAkAZQW
zK4j|*nz#tyYZwx(d-q6N0h0Z=oGq%84|}Q%G%XasB-H)$2@{nzT`|eyG>J<1F`F1?
z&|7!!l?)qZoA09;Tjth8R>k9H77y}vjgU`P2@ZCL<+mfBPyg6qMn1Ia72I_Wd3u$h
z@HNs#NKqmS*kQe29W$_BrWp%Aa~3pqbv3f?J8c<8PwizV9R5Wycc6!^V}GXt*4+3X
zYa}}lVKh-%Hr;|s1;2NW)8QeJk&&9xga;(BU<^2Q-mA&}xE7fF;}n9@Ti2&yAK*rq
z=-%~gpb#_b>=prtQ*^U9LwqKfzJA{XMr_Pe1MPGZmWBF#YHxn!%@!Fs*KfQD3p+NX
zZ6`}isK8n{^$c0HGnW)_udTEn$ssyR$HGgW=h4I{s=0}JnTZz=F{LBRGV5-_efIZ4
zWN!9<kNAvSUSOl8s-Ks{+m*ZnYCfl-xIx4*eGXgn^fhpiH8mGRkxteFNh8vcYpKfg
zyvX!^S<ud=Ms`fUnXdJ9OGraQLyzjLnalUpt5?6!_j=dkJ?6oA6Jlv=75=!NBaXib
z<Af1CF`MT=4+ndnr=D*n@p<CQe$&-?M@zzl2Eg%Sb^u2>Pz<Me25>G3>Oz8F!9eu6
z_ZOjZ%!!+Qk~;o(T*lsd?d9$ab&<Afzf^%1XiMM6^a+ehsD^f3t6g`)4QCm99@HeI
ziZ4tOxRoZEk}h|ccbFTuGr^29>R$cRPp25+-WcHNa@7S?r7c~|GBNBL)E@JKN$mBs
z+}zy66o9s82nQ7mG_lp99D3Fwd4d2&z1k+yh^(B7%Y16t4$HL@aBA8k$A2S1JEreM
zbZBTu4@29N(ssNk9!#LcPpY*m#zx@miAO7*BhktIR~)@k50mp+)huSCjFU4$FYC>k
zt3D^@_ho+K<b8v+C=uQ?yqsEneM`cZBVX_fOoL71?GKiX>y7V~)s*R?uD-upki<X|
z)4>`X`jH50JuK)Q@e_3no5RL2!4?Pe8~g`^|6`1q&$e@Y@M}>!zuQQVn-$TC>Zw{+
z#73u_Y&3eitB(NSB|RC`e02&GtD!Q|$o2MuOpyfbt{s(_Tm!!&Rm+=pp=*@HfvK!>
zA?&uss|bsY*Y0`o93<A!vh07H5N1*@=C3?16-zCpK)3vHvFbJc=4EBxBB6W^^h;!_
zl{_`qe=@p)bjc0m#w>|lc>3dw;8@lXx&I7FNjF5T__mvo?V~4CEx&5+zBzM1e~mY$
z1actImR0LKcq6i(tm;jd<gFmeq#tt>oKFV^27aJ1iPY-;jfx+08mzHnXztcOcwzU8
zS0}@R&~*$<l>OS!eL9hs&r7M~oI*3zzIo-nL?o>Kz{{(P$sUs)AK3WV_zjd$8lM+Q
z7<@XT@-EZjo7enZ_B18>_^z!bCx@l@`fPN_%5?=drmT$DIdoj#Pk8x`tJGcR*Pa(V
z2&cL4X0$L^(BS{!@qeU%BY7MOqYwThU?PtjuP&f%&X(RM$0!s3{Q2{u#X`Mlcq(Fv
zXeF&YRw$?Zi2AQQ=~SR=qi+Zf8*uvL^n@Ukc$KfJ&S~Z(zRp>KQY5ImVp!7-3k|vY
zQ%=V2>7^HiZESf`PR(Q@Mo%wiez5uDB9<<%W0U^biKN*Ki{u;{EBr9b^lDC6&5a`~
z1u^;P{kaBsN+43_ufbO6)=YS8!(fc9>f@;^jc<Xeefk-UegH2;Dj4VwM}_E-OooSt
zduRHc{(Z+CMDvLh#|8Er9}n-4lam{buI;sPv#~W{meQcp0js_+`4>arOVR0=6T!Pr
z?|!j{lv`rCfNyqs;eexJv9>&LqfKq^xXc`0ga{^~<~{!7zVp81Dr%!-yzYBlN*hYF
z^ny3}9fZdD9_^6Zne$Os0g=IcrwxHR3tG}6`M<`Aaa7NQk{xL&GL~-nC{c~AJ569J
z^}oA`GTSS<M>6j0j&phtQ%x6Bwn78zU1z4DC7m|L;%A=s?T_#z{*8-#|2m-CDs6fC
zH#R)*EkFsuEp~HQ0{0Q2<k{ur&_8G>m70F>$aLkfW3{Ni^d=ds!0cu)*w^;*rnH=d
z#N)QLGI%TPnZvg$+7r})ZtF+3&i5(f0yb&umm%KO@L;9R2B@p6>nlIMBXN2Tg~!eN
zwdE~xod=R%`jOtSOG4KiQPPybUFliZJa4o|>W^QMDlzLQmi?yBBO<2nFAMpC?$qN5
z!>X0Q@e7JNS4t+r`gQ+q$c;Mn;b`o+o=xylG!NYG2}NhWx=n$bd|#WUu%R3D!!BdH
z_~cJUaJ3)9%abQ(3>C&&R3)0Kx!&|9!FxuRljssqQvbNCdk|Y&{wa@s)i;oR8-(st
zyBKxyX=wmwOcK4RYHSM{kWh)*dHp1hUSJAGAZMmj$MR@U$0l-yVT!_x;bGc1DU5hv
zU}V164K|{0q$_=60Fd)2t*`XQ)SKF0XalYua7%Vh;x{H?>)pre1r6mMG3unvI5MP=
zyGtFNi`2TLbboU-*BFNitKkg|Xt2qsPRP^FLa2X>WW*!RE_61O&u~rcFu;RSFxqM$
z8_sYfcPq9)0I|V5I>aFT%qO!zZi{(y+M*<5zLe6CNpns}v4-exEXeii@X1t0L4yd(
zyE&|Y9$2z)_VShb{OZ$4eIR~@^;GIk2;<<>7c}<$9iqU}<^7h#*X+tGs}7Ll=KT=L
zL`XUf4JpkleU#$}6!o$!AAK=z_)30j{+{GD7fN5!pSw-&bUhx;zj&FkhR0M~2gBv1
zqkOSFALq(S)H=|zw@v@kQ2r}#<LVoE(--PXTEbQdY@YbskCojvj8e;JiUbq8^3I%{
zA1@tJe~;)3$f=%}j{j5dHqgDxCg0UuT|STG|JhtkHfFpmX#2-uR+4PG?$>+ugF;yO
zpJ$90ja5Iw9Y0<Iskwhn^2&so!b>d%mqP6lID><E#{WgyR{&MreQO^YX^>7q5$Td{
z1VNCH?vO^hJCsI1M7pFzy1PM28l*XNHxh^D+vxlLznSmOH}}q5N0{+&<ox#DYp;6N
zS`W`<+L=|qjA8*?979i-qj}u?I0EOGn<L>4v~>8kN!nAGl$!Y@HL*Qe?l2+lNes&i
z#J7=&OZ(Vv7`DeK-FHqVl<z}&7?kF89osvb;r?tNZuFSd>?!4}@Ftu`>uC8Lus##9
zgAFSY(@r{jPe=?hwxT>i=^Y6nh(jEM&oZsm1XAZIf-_sqzA1A}gP{O-5e8?{A2B>_
zVaJM}#Uv*9!A{8%{8@s+c(TpSh!Wv#c<LI}Q23_85A3`1V`XhLTwKl3iXc53$s_f}
zAS6NKys!ct|9zkJhMESWecr{K(cbX)8xJvYnY5Q_D01-TX;cH=yehHi7kw=o(Ik!O
zogzOzBYu!}Wq-vi^6RvLO^b=MA*5&KYi+|i{U6Ks`^z+UDRYV2S(k}#^3B=N)4TJY
z6SbGO73>b~E-(UIzO0?#G_$gEf!~=NHLH_937*9ssXaW{?rP6;dOzL%ThDJ0e!+<a
z!oG)YvGm10yx+H_qGjdefgmBhKdzA(3ER|MOJAa#_?5bmz*VWQ=iLjUlMNzVP3y3R
zouI$xM<g0_RZ+aDb>_txb-nVq!0iPM&AZ-e|E9KMF*9m+gB*?%+xK}7>Ae+;)6O_*
z2HQj57AF+MSg|Q!`n`=FG?^al4U+FnK>DynpOD%X_Ul)7|2kv$T+ty%$wsm#%mv^d
z<<<22#f*OgsFYsj179rs5~05D@o)QL>47mVFZLeiBCN+YOsku<7?^BgPd>9mM9ppS
zu5zHIMVgWO8WrOJY4aO?#qDMZk59;2X=h$Nx^(h9ttMl0_k#GbK`KG_nOu}Y<EIzt
z$xV+$DnfcXfg{WEcZ(gKs$IiR&5D<rXd`rQTIw*;IOypq8qS_BJU=!w$bKS@suAbR
zpX2FKv5?Sa1ZSF8hn2e<pj@0iS*iW0CPQU8o3?{G+r5!f|6^(xM~61%Gc6pW`k>rZ
zaZ-d@B6dQN{w0MQ+<eN1(Oe4lu0qOx4DRadx$=mnwKKB2i?N@5nA2CTU;@-r{ryUi
zykaYc-lU7KKZc~4Xym~|h3Ht3_Me~@vLjR|yS-^$eK1veQTd>$fQOkbO%RK$CQU7(
znr)cKJ96qoB8kVlB1XoJAL@<OP2-D;4fQ^OznP<<AqrpKHxd0u(co&j4|xut7bV`X
z&N14E_LOSzIGwg%^M}+iu*s?#Hj#Z*>U<ix6hZQRV)PwhnHJA;GPn63^5lV-WJLV6
zL*u^F*S<<QQ@=thpC?pWXD2%|^gf%L?pyL+K>se=5K;(aCm!>k=v~5iO{Xa<`FAW#
zvm;G-vag%jpo(R4Yb|?}b>l>)R0h+7#~`NrFmFXMFRd{*i{!)>d{F1C-0tRzo2#vi
z=#M%be}94bl)$d%tEo9{rdyxc>yy2qS$EHaVK*0H!q~XcvA|E9e)HFjk&sa9;zXV&
zc;AG;FR44xOZ!D;7~1Wn)`r29&2zV(5@-KiC1W)8Ga~2M@T~7|XK`e*8iR-3W0X<K
zbfZ#n&Mc&3<pxnW=olSBH$3%s5uQifSkN1;;j}24@-E<c#QpI+qWdPbZM=m?ny;9$
z(y*K72Hye^&ZaP_*1vG`^MQ0LxjLiM`woxC#KAYPdMRepHtR9%&hpY3507IGkR&Ae
z6|?lnPm@C7Pfm>1(E4A0%V|wrYu$2sIkPje{+T3#xWfkP;3}NJ8=r=zKpaq)enSLM
zZir6v+jFkN$u#GbWCnDQ7#Xi_bJbqlGjKySpypESR+@COqJG5&w7_G0Nf{1Nx(m^n
z@Ak!+g-V^}c$CRgW!+y#1Jx}x=n>!ny&|1)LG+pDE`FfqMio9EB}Mo?mOf1B;%T$<
z#)pDqMX-^dfXMu{O?4mLw~``MZG76|Or)-Ro1%)BZ$d%}HM`E#o4Ph<P)q|b7-NsL
zh}4S2)MO-ex+#OF<e@X+@b7btKOpsBgn1cuX*dls%Wxa#d{ML;ZH^q6zF6AFeXC_^
z)lU%4mxg3sqx8EiA!OuE2>Yy&>g9O9l*9x_r*2~I-*r#)KT2>hz`=DNEpFJNC6rAM
zRBZQCisP@GtY`1zzhZZZ+l=EdC;Eic%1@y0gohR<+$}k7eB2u(IavX@N&ebX))-3)
ztJDrBz4}zVk%}nk<QJEGN1So`fb#tKA>-ZO)fT6S|9e5)IXJ4Zg^dSek3;<mznmEr
zs=ShY-_cuw3fG<StW<_sHL|mIc$bdJ@|?5A%qTkdAQ-}~u)wNbhVy9Xs4>)?&TxdD
z+7YFX!%hqTwoQZHC&_l-ws^S$n2QHt4dqY%y&S98I(IWXTK!UR{p5m+)Y&F&v05@X
zh*`&jzPBcN#bS<x@3=>6nLaeeSS85H^wSbEWt+5@NpEP&^*HuZL<*s?yYT-I(93uF
zOqeRaM_t+Y>~<8PrDMr^g$^1J(xa7K%V_rX&mIEtNlAXE?;K&GyYQ&GK}j4khuNWQ
zqFzK7Q85;S0Z}Vj9;0?PIoOwrHFJ?Uom#eb6t5nxH8bVsLU#zBW5+-z*-twQe!W6|
z{<(W%Xmk=L*~~wqm5TD1rd%8ZYvlg~YGBNy%bp$4^zH)5trfytduFz%nT1Ur#v0lp
zdY|vcBu?&AK@GoRN-qz*WL|LjzJ*o150vP5RkB6SWlC-9@*CB!+X-8etZ{6PZi;E-
z*39ad@YZ5srQo*?5J}*`q@euWJhe9C#|j1O%||D;N9!=w2IGMNs<ZCdg^t_wku(z;
z2a74;^9KJdDp#csl-O|$t>t*Ddx0{g4(^7mQj4n$<$<gI&ZpuHp*1s8N8K5=EA%Vg
zOI(zOE~Lq+?cwm^(pSPk7*S=8%-uyNex290nMdf?W4bb60Pze+_-(xUBPr3UY*3~U
ztOa{jm~&r5q7}ZNTcN!WnHBn>LV>HRLz)#RPyU9}9)+-gfWPnKin`PUTKjx&0BJjz
zFGaBCa3M8!<J{^Bue^V2u?RcchhB;Bb)>m~G=gT<NP^HT*W8WS{j0aR9wp`bCN4Lv
zxHRh7#_*p4fA!=}gey>VzZX-W66Pw~G)c{V&wARDpL0WT#bZPlxwNMy!>y99SR_`5
ztS1@`+|P-Gw%NTv`91b!Q;UV}=lWWtyBBvWO+vnzIc+;}%f&h@;1pl|RinlPO}m<8
z8$0y!r>!d$U{PiHu*Vzsy+>=0r6T9x8fW@l6kfk>JPKnhMvZv6;t9Q}01-;dT_#b}
zW;Xx?mNn_L#hdi*;1&TMkn5i2djLYj79l}Fop;YkYasW4fUBPKxN65ebJG>Z*q5Ot
zrRkVDk-CpMS4l)#c_*~tl<Q+in$i?gJXY`Peu%qLeJP-?QDoZwE<9Ok=5ujC&(zvA
zFx8JQEcBpaEbjqM+?mUhfh9@H{gqUfJ%~hizkS6w$vdc<`2s7v!uCOm&Lvo0c}6Xx
zg8v_{rd$~MyE(Z{-#zZlkanzRwDSs>x9y9HkuY5h#tVpOJ8c`CdI0{a1rI=SA&lC%
z<F!FaO6pP9;EP}D>)=rCv)JlSZt!2z{hR};Eb%3`Kj?(*SG^9z5K(n_o?GfQ!nM8t
z4t>}h(+A9CW%#e-ySqD6=zf~5$7<V^Ho$+7j0O@4Do6*p;5at-JARX=rv@p}G7Ci_
z5z63<QN~0%f5tTQiF(ydS=H09oI&PGbVlD>8VNFTCZhK0Y2|ihwxS@HWlWpU>1vjE
z<52YZCcV#_Sn%rYLT(`i2!n@^Y~Uh4Mnpipw=cAc&QP*VIu05EWd~3C#>x6V)fRb+
z5le5WM%qS=E7k%B7(~?1DHpd<H}BSa!BI>`T(<YYI?D|q?##Qg5K&hsFRXAPwZ5Q6
zS-kCMY+#T`ENSgZg>v><Yqg>rcTK-5eVL!yV_J5Gs*|QqXcSO%jDzQA8DmAzZ~Ygw
z4SQk1XU#-uI^*98F@Z7!x$~b$S$~vNp)BEhA;)*>ZpX64Osudsj63Soe6E^tH#!@K
z2ux*EE1(A*z4qZ(rM&CKi~c46<h}FTgRplEv2vM$##gyTM+kL*&<1Bq4~cHWRcE!g
z-Nf82D<`@EF|uZmD=cT5%}<61LTPk~URo<&n9D;;X!=bl*jf4kLdBOy&wh`=f}DbT
zAG+m|HOMI}x?`2KhP%wba8bf>j5><W-C55UmNS|}S~HG3)i29>IzjyQ=i(T6sQ-=E
zU632|9Ixv*KMFt$Ol|o)62<^fVeQxrF8U@((Cv$j<K!VTpJ-ZL?=jBZdT21yF{^=^
zoUGj|S$k$xKTV*Ev@8w|N9PDL(LK2a(Q_(yC;cBv3FyviN^{rd8o!9fdw`Ghn!F>K
z^V5dg1_BM?V`I2-C9|R5RxJuAI=u+#m&}wiS9_`+{0>K8Q!le>85t%1Cn$hW2Wc-7
zdzT|aBU^=OF77`lKvgzzD|83+ulOV;dSlxW93mc0?%%fEkD*aks3wUne5gLzKu@HP
z8gTGBR*RZ>9Fv+E6DuQz_}N#eOsIdIgji20j#B>87uwbdXtLf|O3;deXc1X`y>e%w
zXa2KrTw5;X_%kmXn^7rLjXaDTyyx0D$EGK2V1pI(19G1bC4z935lBe;e-h6BV=Mqe
zxp|@gwo$F1$qpcq0z=0KY!xjW72co=_j-Fr|L&66%&n-<Y}Tb^{HOg4lUHu?2NMg0
z?pwL3uA<=@To0b?r~!o!5!z)knAmV4M~JI@{d;iJHfh4X3&@SRRNYDl=|)i<52M<T
zvh0@4lZ-AA=Pk2;ykO9kJ&t9l6__{YWxso`eFhAMPBXr%2~=?|R`u)u5+3-ru%^!r
z28y-huHGly{9qunMduf_?tXibD&Q*YTPIV=2fA!m?)LUsK_V3J!NuM)@qj%uyVzR&
zY`3=$*LN*{h{s!-lV55{;K6O+IBpakf0vY#-5$g|^~=7I5B;G+YZqgw1Bq?bSN8Dn
zdinY<z(`i1o0@&)3U}qNM6jT@|9Gx5>58zPKRqL77n$7Y+GV+geSSH$YAHlnck*mM
zP2S!$;tg1C_FuoFNAm|UbKj`28?Y0VFGXZ~kLL!38AwP-LV?8)+1jUafVqNxny9q;
z{&Rq=LNQg=o3W@<;+||anojTRPnE4ifiVQ<4XqVmw7>$Y*Y#`I+WruVUh}Uy(CzYb
zjx$<zic|k?PVqT*?S-mipZ!K0ymlUjcQRod@=&5cnyg^J@bt#W7{@{){pS9MiHB1s
zh$;-n07ui5#`Lp<CJ?2{@3w-)O9JN`E-GPV|JE7%h-ZuMMCx|DgeAE@rVk`(w(wmi
zQ9E_(Q2)(5qH`u|oS2+qtkm;+a^Z>dmf#ftyAkzk=adLR1Zw{L))?U2*1+6Hfo||z
zFsBOpzybD#^D4Wch0*|I+!_n4?(HPVR*M*#iXdKV4}Lc1bvs-n8??I=Uc5YRLeZ3*
zb-DRWP^2$=aEU2HqL$|`kXCavk4Znx*6nS$(0zireym0<s?J)e?Pf%}v(;H&e>6?9
zd;YN0@HlgSKb3*q^{{TOwe<vX-o~}r?30On8++k-$!%-1YspW}Xs#FbuCG9##t&8{
zU5RoZUxf5%GVPb@fqu<+viOaQF3FWa9^6F$or*j(YQ#;jgSC`Q?)ZQ%!;*%pf)}Vm
zE-?L_kKQL%eO~cKrgx}|`>gI9CGlKs?bU7A34!`N6^jr}X<3g3&!fhOK#T&H)ZYxU
za=uKEX2lz%JSC=`T{05%#_520OpU5AB0is8`-HUD13m^Bnu<*PvLB<C29WV_8RG?B
z1)YDDygNN_4fi#QO$#ri1}dTJ+5S(-oIB6d%71GC{=Hma<br@aIEGhWhoCiZ`kIzH
z0E)S9vbG(nin+=IeOj(KZaYdFE(i18S)j+7%7?=-UA&WWXM_{k=6Qtxw3ZZ|w@i5)
zY2NB>gl0%u9L!_)34wgH$)|4MKGv~QcgV(8-mUzypW}Y(om^&xmY&*f_OvXqH*l?!
z@`&c!5c{{}9u8Pz&(S$H<=(=@Qj;&7r~2`OUQ*zEybA)37W`iss{8fjo$Bo#ie+C~
zNhO+%r?w}-fpqJ@E)c-1RJ1~GSu6)%TG5Y3S&a4%O{*V%eHKP1)Y2d_*>4A9)hi{7
z3AgQF<evV9sSokQiZfid=q!nSgjlE($Rr!#swMYGHdc>NId;k`CS6{QrtfRdSb|b6
zV-yghMN_xv+-){aroPfoV)O0cofljR1KtoGN6<jt_2BIs6*lbp*+<JEDLw!()l~vR
zLMw6S@dV`Y971_Vdd3dU%e<-frl;40t)9vseuL?FmL0$xj7(dgeAi-e=HEe`M;gar
z(BKqy%E2|b;~xNCxvAvHnsgUDuxpSzv-=#p;JY{9bVV26(ACo;%~rt!3BVC{Ylc0G
ze_}M-iekMIl%?SoshY3IvO+C;C3tpblw9l=q5akN@x)kqej|rcV1lR2GbWoe1b{5n
z81u3!Ns?rTv2hkoM5w-_XCARxDS9fb@4cRo`{YCN5_R&^0F<Nin&|U0xAS7(f+rtR
z(80<i?pG%D*N>N#s7OtE+qhcqb35+H&3tjBJ9)OW&&4FT_jci6Z5^b|uSpLd7|a6P
zU{HAo%&qINrEc=}yq{;XlAA_FOk7*8S8{g)ek{bZ;B~yNJk-ztmkclo8;$MD`#E>4
z@C2NmHx4j!Q(DfeK%lN!>XZ(^+)@%`ZusDW@oisy8%oW`X+FwP)?|WKZSz0p<|AVn
ze!%z1lp4xj&M(XFXl~S|=C0J0tSqCI$`|+X6Bs+4IWsvh*&;-02gT<r7CUwEB@D4L
zy4dmD5q60kFS9U)fq=g7xK)?RAmb*ghvd(C?bTV{%w&q)<DPiOg}KgSy1j9NupZ-Z
zRuQLpxyCj4-s9^yrM$`^C=3e|bI)TWT<>HW%rXmTZf+KHZJ{_<EK>9ARw@}N-yLX0
zpG$S9yY_Cqim&SjL%2k5iW~MXIY75^>sSTT6@lxWFy~dIz(M12TgBY^Dd^w33JwbL
z$=53KaddL3tOcAd9+p)z$#XX_zpI~XzZqXjsrFWU)74$DTw6{?oE3HICx44IhS>vu
zV*8rFD4gsJVob}__tiWXt-SEdPoKAz{S}|SB*=0wE#s0_&~LFNFMo193xCeTrl6lJ
z=f>sBK6XoteVSsIHrM=}=4&luJPtVbfWKM4cSG27muTgO?>Qsws|!b=JtoG$g&Y9W
z?vlZ{-88YqJ>V<MElf_TLwu2U$pL^W8<+PP?9NJ#(w4R8SpRKz-iGV$l>KCU^GQy8
zH*pInN{E`=Io<KM-~`R8R4t%G+vliy)<$4uz7H6``*@FlIv^Q(^8x(p;?$!F#cc|D
zNBVuzvg$^m8aG<Usmr<K!shr8<)v3#u>8j9=bXE(u*#3|#D>efPB5{plNv9*ouI8(
zRvvhlJOe!I)Lk(JgX_2I^1UB^wF%i8-RF>0HY)g#BahW>F0g-}DhQQkDu}a?g*7-t
zgVRqcT@~isFh{Xd*f>X9tXu=l9W*qI)QuP3*pje!gS=gfn(9u+&>?8$ZbFpT5~{XG
zU*kHGc02{A$02Ti|H64@F7uV=*nErUM<Y%?TlX#1zQN-yU*4bIQA58wN@`7~^;?_W
z?jGFk&nnOTUS=H9XcM?y>uz1f624Z3v3QC_$GTG42^~Icy<+*@R0xK?`9vlz$Srz^
zKVrr#7OO&+S(AUC(K^dqIPK?x&hxc^XlGkj0}q4#mEG>h^JX)IiSd}v7-iBc>-9B6
zsX~ul_%%j=B1ZS*z_Y_N;ankFGp4DMPMLGxi_3&Kl8{1-PUtwufV>M~xUVEK-eWJh
zu6TEOPBeQJPw_irh{`@~M#MBcM928C{~oNdE5-F~a|Z+)4nUMh8g-*2lMkFVgJKyJ
z_qvif*@TcdmGf3ShBDnOkZ+O?R}>7!=#<`P6!4@v9=zT_$Mhiu?|I-pPtOvbT0kng
zZx^M$7jYZq+0rx$DxZx_!1mAl^@s{z`K#nG(v-6ZIl>$Z&zEf%Gvp63m}oI%2&UXR
zGk=!S)|Z-*sO`Y@8Eg{^b0WpgWd1-@%s046He4na76{}r%~0}pASmbf;g!L_Y@3TL
zK5wzP0!R0f^Ulif3~PVkO1<FhpJYj);Xg%5Av!YE*qB-)x4asxZDZw&gTfK>HPl=?
ze91UpwE{CyOureL;$8Az2@mF}7>=n~d7#<Kcf3Zo`c{F*%ZzkJEKrBEvwM{w8REM^
zsIM>h^@dW?I2AaxT=M^<%%a1GrnnC+D|Wqc(qliPM+Rdg7tk=qmsw8M4H0vEcj?&0
zn74e(j#3^&b_wA3YhmU0c`L+`MC{JybX>T<7d1ZePOwE$g+-jTtVD~XHV<QqN*Kq2
zU8~Rdn*&tZWp24LnM-r+5|dy1xFIPq@!9&6DB(itQ8UimIzycxVxdacv5Vz*Wle_O
zVT;BOsSb1OH6q3h5BA7^rrI1(Gm&m+RQPvKO>eVvOeRra9OFP&YEsU9&zEj|n;fvk
z!N&oog8y$Ms-x7nm~K6*RmFG}H?%bGC>`-0EV#D#HXZX0n|Jy;*%$Upnhvp1sdHwp
zQiX>x)ptXh^O=cT?t_NF;jKAJqOMiuM(C!Ft8mk&&se50`<-wibH^`<t#!YqYe}pw
z0|yy|o%gt3-KtJg#!pv0Xv6Nshv3*nf@rS&#F7gl!iuP++t>Y=6@fIRpK^qVE0nY*
z1mbl|*G4hS@}E`&8a-CcMv|qNgDSThTEd5Aay~UM<;6{rV(J><9Xn>c&r~JdN2m$^
zf^Y>ESBu!1t2L#CRA@?}@rKkNWC*ZH065Q?Rv0iui}uzhE|iFl7*PK7B9d1Ozhc4P
zy4nM!Ld)*+y^h((@=LWMONYlko1Ij_(Y12~-~d2<q2|Uv4l%AK^W=d?R^1(scwSUy
zLdkBq5}&hniOSazzjdqa<+ND)ieFy2<9@|!YCQd_pDr>Faw2ytwYO%={3fhqm@1Rp
z=HF)~*v_ZbqmOi*f9CPr78JZBo~vrd2Dc{=$iaWmi|FxE>%+wLr51nKO6pqMOUteb
zdq!gmR%!I=VW(UjdD);@IrFMVwqh1_LO+SrqjMC51rQ`bFi#gb5OqRK%}*TpCPA|!
zO9buqLArI+VbAyas_>o}uvhU9{>{s(wVxu)zNi%I)<Zf%Uer3)kc%};H5Pr=79@B4
z3K>#9I9u76Dm+=QECnMj>wQR1U$)!)iA`Tst+H&IUXakD7Ga#UGO1PyHSPn2^Ri*M
zR~v%wD(v8DSw;{IH(C{Vg7NhKeilo1!45Qo+;<Q<zf5gKr-AuC=aw%O@r4sAT!FKg
zn()P`CcSDDfqOpr&VDB;=djK49wGM;;)(TBXJ7r7^Fa@#jv7-(u`)iMp1f!P6GjZ=
z(C%c1+yn*=G4FDZ5(zvhfs&U4cHi+oy5O1mWKEFLk={_buUwpU#%KgVo%?*y$6v#_
zDqUvZN(~hAoY8vZi!qLiDHHhp<rGBk)HW9a(%s<S)f|~3^ig#*c$Qf*JA0)o<Fg3>
z)IV1u&~tkpRMboqdKSP*j<D@U5+A3pA3~+nPcHy&VII~%^PdmLVI?jO$V-H|sgah-
z6b0`K%R)zIHPqTYFEg~{RE;ZQc!Og5WaUkCp~DGn+SXQ=h$l9!+*U!MMxSbqTpm7k
z^!i!KBr6-7^&&dgq*Zd)$(*NAC1?VWYw$_hw?l6WV9qz(`p{XeHM%D>4u+td6!Pz9
z3px*xyV-CH9iy-Z#B1hgW!gSIeih_^#BJ48SW(GCTniU|79bcQcK3AmeC2%ixf=fP
zEOv5ntLf9DM2r5%dc1n8TeNBQHOZPu!ny@=4MGuD0d-NGpKgfusXUDX(}O~Kek#uq
z`~zEncq+yo<iZWt*W#vULyp!%PCuKxbQSrL5O-n<fG&6e_l1{z<&~`2-M<3N^5%s!
zA8^}r%98^GaaRN3r)ncWl7$<gKYqJtQSP!2#3Kpvuj5Dhj)u8CO1cqppCr1;7@1ae
z2k<GQBq%?6_3tWE1XeEn)y)P4XgI-q7C#gEXakKLWKCpFWr&-r{><GGz8=eq0wnh|
z{(7_AC^)5Zpzsq?-%neZbB#%T^ve~0?pmnTkq@@NUArhTVR~S$23FBGo);Q&A9~T4
z{Z+_4q#SqO+A4JCem8Hhif{~$YLjkM*Ho#mG)u6c56zF;O1cOPidHJpq9?{O(31eM
zm5hup$O9-UoT*0DyREwV%de-r&rLIQ;IJ)3x^of?q29ye$@P^WtDO{qk1gI>&T(Sh
zPBtd5_d4lH>bkipT{k255ly)VsFN8C{hP$~2wHGNTKn0>i5*tp$olSA==5Nk?YXa}
zgT<2I2a=Wt=M}LnjM06qRXn!UF4a*60!)1}PN$--RK|JlKZa&$ocv0KD#ymhGWI>i
zE>!!l<)F1cYxB*1T5~=v(cgc~U5ijBPwdU&8fhgdUqm7@``z7J(-!A8Umx7)@%wu5
z!M||eIJ?(7*6~9eN=Bk9wTbd63k;6)p<)Baq0yF~a$M-b7dcXJLhqu{jd&}p)?px^
zEr(e<6gWF`pr$I!Uqm^R?n44TuJL$0Z*+b9TF_rX&cHjhOGMM+BCNa-sXOZ1x^Rwz
zB_x2a%=~;;<wFA1?;Zg+g99Fx-62+*@|pYn2>!btGGQ!p3=5|pg^RaKSOm6}^}W3a
z4lMQ<%oLdeX@{yDRK>ytO(wBiqve{IG+eScj~zbh1{CfJk!eVCFyWPddDnx^#JEIE
zxN*zEl4@0IiFvReocJn15Ua}O`>E(A6B)NG>uCs&>FDie$uv?_KDRf#{)7?NxNp5$
zKQyIwc(&BOR{(v>YtQz>1TFr^V^99fsP6iVTpyjA<OGC_oV<}f;BciC1_^9fpb&RE
z0EOuKBICXHrQDKrI=8s4z7&V4tzQ~^Nza==ndq$op>?NMF$mUgVoWVA%!||--a0v*
z{7`Nha^Cr=tFAb38*|aWgF5}PyMXZ3nyw}?R4BLc5iKsbJnPRVEJba7^Plz2W+Qg|
z_BEau3l7Fe=f~n4V-pCE?aRA}B6EwZna!(<63}=6O4IcgZ;7Kl2d2p0O$T3qj24<O
zNp$$Dd&qu{!2M?&%hjJU%jmKDjE+vpBrFIA%q5%v(<Yg#wDx2;$sA!rAZCJcb8!65
z_U$g7+!0Y^h^2Iase=?<6G)>pfw%E<UO94Jy$0CGDwwMBbAxjOL`yE5o~(-dUOh@K
zyU&965JYUNb{XRWYu+&EzIb+u_tQj%_88|d(+{Li*(V!@6J(!gR3$|wSKv@Es*k08
zDl#?OCHagw&QNVAYl*RnYdg5iseHcsWIiFVaj%xB_4&NdN5Q-I4}E_Xxg}D~)CdTd
z9(c=e^myddHUI=6OouK1pK>}WsYvpR7Y42UE)fwC%r*wFGLNR_UZ^dgZ}y}@oOf<^
z1SQl>b5IeqIT1cSO)%X>6pIZIq@d5~l}r}27J>g>N8z?p*AL2-@5{%%TiFf9F6PHf
zR;C*+J64uz1Os^Rem1EUkgi$I#IqxY@Kw%eH2BwO+wDHsoDETZ*H1@=QCNVIp4k2^
za;eIua6Dk^!FMa&+nN15877T<(E_!y(3Sl(B8hMQzVISpS6S<~*to(SOKA!n=4CPp
zQmdJuBq;a3knY(Z^SatjeA|SnvZZ(CC1B%@$4D*-Xm0;27y{xkq5a$YE{KbXd)kpr
z_t*bVD@2}3J%L-_;^JZtC^X#{n9T-+;PHNDa3x6c4Q6mtnrQClnAl6sYQ?9cvu3G5
z0xx@%XdvB|w3}PO)32;dIhgk_wZH0^3QrG1!>f|q3SwP+nBqZNOfJo@88cUZh9XSz
z0#s=#KXhYC3WAbA?}UPhZc_-v)*P~G8}#lE$^38Bo>tG(w4udt@uu-S*F;3-Ha6Tl
znMOhKKP?g)ps4@9Z;{xras-kpGz9e>huYGIE$?hNip0n6)GzD?fE=5Qh&LJktDsM3
z-p_YVHZ{%XY@pt5L&!}0ugSGHm$3}sxUJe{)>Q1(@bl;ujF9EYb)^|<Uod^`@vrR8
z;vr?TClB-bc^G}(I)9*_VvJKq4vKq}f#o1d`4fn(=7r}BAht*D-B|7FT~3B4zHHmr
zSNFx$tiW(n-Z*zOBX)(jeMoG2a9-q?+NhLg6`ne{0D|Y&1m<^;MhrL3!@fSunL0<a
zUg!b5aFy%9yaJeAWhFA{sR;uY==faq?rE!h@ByMPl4f4;K4ws&VO$)_koK=Y=wpr6
zdXKN;KV~t_`weu%30VU$xUJg0DP((-+xMUY$8F25?lUPu;HR^XOf$naVrdQCnQJ3=
z1yu7evVv1y2^K?878M9u6vC8|{#0bJsh_IX`p8axrkb?M*V~<a=sp@09DL>P1BOyI
zf_{Z7WYFS647dvhoo|U(_-^!UOdV5=il^%wH_AIny}i8;;EN;J=N*b+cA5aNX5Bl=
z^=*HDQ*Ab_O>ZJlR@lujE=sR0&5@!aRLwh5`rWTImz5dEX3)W*+eP+@|IGRax4wTY
zgP&1Z>#<rsLo$DK{_wZRl?u+0*`oIvuM>}@$me15l?)mZ_O4B!d{&d--@6{3n3%|%
zp{)C5<DxtV6omE@&3`<D-%zPeGnsxNX+~o420z(vMK;0_wzD4T2{P8wa$fQrpyNs0
z_0GhVY97#CSZuIr&+gPDT+BXLdsn2yyt&2q)9SH@=NVdwv#U&x#up8{^%zX*?3^Zc
z)z5~=IUE5PL)r=5F%R*MnVMJ-H=(H1;+!a~Z0LM;bH}DcNZrhrW^YGsDhdvt+y@s>
zX8>&)kN>9v+;oD+Ri|KFs}DTWblpnkvwFU6iH`rKr()*dH-OV)UuN0ICqjil?I_)b
z!ye}}=$nx8PmbdUY3^@V`wdY*iRXGG#=71VCu7_Zl>g@3oIU^UeEJ%4esW^!i2g+;
z9P~sz#H65>eTB^L$!nS_MI~e5+nwn*O7Ba~-o9!NO7_tzT^^#7q?sfr58Ko<^<+H5
zO1{c{n{`9wZtO&e3y1F-&!1Zx4upr}-y(4UjcoJ<fVK`k=9T_que{MrTEN`!Zv%x=
z-$#Hw&qGB`_IGgFEhrYu%*=cr)@Dvy&9?_?+IS$IPbg6psTBy-_^#3JC6>$^uwO+5
zj8;_}j&)?j7(-ec5t}!MERLwAm)BZE<8lt_UZmv?877J>H)7I7E`u5z#6TX?!)bam
zQyN&}7QHQ3vxWODeQ<gR=*5DMy52fLy3UiF5WH_R0G(uxxqnjZ(auj_rZa|IIL}`<
z*RYC=&g%V0UosLo9an9r<NDeEl+e3wH)zy!f~!V_H-ODic#@cm>`J;x&zJph4Cq+}
zkQANg=H@=@xi^3JsZkbJDy|BJ`l}tdZ@IY&3`_ZwJFG}PXy*$+5$|(yVep&XgLZ+O
zDb3imx8gcxw1JstgxF^oJKKrXmat#1=$MVMG?-F8O_Mls5<bcrixv`JqR+s2Ja1zt
z8A*gRVY#?xN@^xr7v|0+xQ_YOtNn1OyY=A38G*0CZZyI5h~&icPADz?KEr+((?4Y$
z&ZgBA_QAO@HN9b7&H9DcPQ0M4uU`-CS(_)}J(xSE7qRA0=UZp*o@Sde%UQ0&l72v{
z^*?E{5CQ|yylAKY)Rxya++6^!2dSas`klnO&Sccs2qzc?|7mu7->~I3o9(LonB<G>
zc*oJSPlS(lb`LaGK|%3Ks8K3@;L3h#@c}aBS7?&UwRX?~8Pw+Z#g%YW(nUy0?DBq6
z4scCz|K6K&d1z@-l$ljNvpY-FAk}R|b*g~+|G$?40PIJ`#Z`dH=0mG?Jbw+KNg*4+
z;Ji9qK5%t*wzjF6)gIU#2f53-AF>;qH{d`)PX;9zEvpXd=U=Avdlx^L#1y2Enbgd~
zFH*5g_n47Ub$xo&^-;5k(VMgDSBe>*sRe7#bY=NuxsnV(wbw;Ps1qJGwT4|a9_nW*
z-K6;L#6%VM3_UBC2Ug?Fz10Z(Cxc<OVR~lodiTcF_d%&`uh@PGVhFpB6Rk~qzY9FR
zr2Xi1`uPvKNW0%JgXlng$z)92*{EeznoC9;o_^*>>xNsCQoD)<Z*0Q!l|9qY?nuF4
z2lt5r-G|3lVx~EB47&S8$gdShq27x~X4a~|?<!n3mZB-vZZ=zNQ^&$xEC`2|O&TkB
z+qxW3e_&xCnij5ATI1oe8sLdPHLSb-oPfR*Bq<_|3VZtF`h99bCow!RivQl5cQ2=`
z;QNI+5}1)2hZZ#xnxvEpu2MV>sG!WS6DL`yl5Nt3PnuMeyz6A%vCCEp|9H-Jz7v|X
zycr=}ShcuWq!_+pm7fMd><cun7a6uc2KPKI@8Uw`WeQ#6u_qcNFuNot?vcBYpO0v$
ze%dq>N(%q7oi3+ET#TKrbX7_6Wg;Xy6g)5}YdrpahmM=rAIZ(Ajf3b|@Y~77g~c*p
zw%l(18|Offe^j`=@VCh0c+|R~c*Q47@;z_NlfNl3KCwT4EmR8ANlmqe`z7_RfnX(n
z@F~HVGMeh6XF5{!2gyx&_;x1->)M@5Y;2B9$5n>!m<vVF!%>Q6Y6@QKM$t|6idN!-
zhlK+VE9Xzqc;9g)VKN1n{#Zc;+G3#wQ+3(lDQGcnL{2PO^?5`Yb-?P?)Y9TxwBari
z-uYI5+jhP&^Uzt903uYTvHSUL_dVr<He7(@Y7%X8Y|I$n2O?RV+e&`<774A1%z}-C
zLM<3?z4}1rMy04)acb;-8YH8%VB%o7<7#L^g~3nSZ;*wttBhX&lUxWRRc?@Zm2<Ki
zC)@uA?&79@f2J_ar&WyS(u^t(OK+o81~4tP?{E}s?s(G@q`4~vL*(HLU6aXobThxT
z(Ubn&_|>c1)8ZW)<?%8NrU}=roOoe2c6LMH6(g&hx<Jw+UuGRJRhO*rmLS_j=hNV$
zHKDay(_(SXEG!&YFErm!LpBc%^jCNX1yoK|X@1WYY1ix*4m4<Y4Sp;ls-k+oavfP&
zIrO#Z%ECwjP81;--imk`Rs2o(zBw9aw+>%ii21TK4}SxbI5m+_!RTk+RZ9kIyWNoQ
zAtCl0E0=`>g)>-z8t5VZm-MaqNQa-q?{F35Bj6tfz8DTM57ju}roTU!z<&=0%!f?}
zR7>-fpl=cmVw;|lLVmEhi3;%|Y3*_oyp{W+kv9vwY0#OxVT4rB{0?lN1Y<O7?lz@F
z>gTjPi&l7DO*U*(@S-26Hob$^JKNrXpLn#t=gM(Qt3hiWn+}#Fx(a=nwFjCt@*Iw>
z)VdITOCmipzzU_!hUVWBMYSU{m-?fxWW$MS&3FfXe@*egh(B7q8;uH?rCu%PN$m54
zRC_kg6>|oQPgkB{Z%_+KABw6%UWx5Zp5$3iLP`VKao;$X&RfeDx`rm93%CKsUvnSd
z%jn}L_+FZR)t@c!S+u8}@_|cM4OyN}FOP_dI)JxpgTL^hyQ(mrE@2EVh*n>*a<Vtw
zp|!IwM%cnCr2N3I(DuZo-<trI!kC`R!1}P;`h^rMi_VyO{n3vzQEOS#M3>$|<AqVe
zM_eoBmJ?$9e2h!x_;Bs0Qe*djy~Je3Mn}u3Mj|^D7yRK968A@beMH~66W2ZV^-sl+
z;Oh3MNz*vMW0u-o1U%iD7j?Jp`3{4D@3e3q@JYsyC!QUxwk7hTyp*6T;!2)*9e!o0
z>PR6m0l}-HDJCX^@T1SVNDuC}Onys=A|q?mp~#ihp1~rGe)#ez6j$Hy>``g%<HHU%
z8`95PR-&@OQ7S)Ur++cgFw=kE^E(KRmJYe3XN(m1P(AqJ5P>MqiShFol=NH*7g0p{
z;WY*2?3oI*FDT?Y;r$c7`}>6Df(IY5oT~6``30MOgMjd;P;6l7J@UWdA=sd)9h9-}
zc!eotYS7Q5Lh&lM{yA5Jnsups`<YB&V$fH)%n{w3a{LwYH-YHyCR;BJTQzu}it>I=
zoMM-j%y1Kr8KdDGgIbOes(Evv?JhVXKN7ZL!yKpkF=Ne*e}O|uF{?iGmYOD?1PE>)
z<)0G{3Hi<!6#Jp<-&%kaF1uoln<sO_7kD;roSa0ci<9Hpox~Omwl^*1<ZoC;Er{4y
zo;*JgOkCzgQF#*hNCRQ&nb(f^qqh>zV=X({n#{yc6D&)$3vcoB1u`_?$_$^KX}2j*
zpVtdl-So~7Kycrrmd(@h)0cjT|Dyy*53ZX-&TC1!g!Hv$l}AUah}a}!!d4JBcc-%=
zXFoi?8bbUfT8Pej?8;3XqZn<ZIEyrn_5Edr`G=V&g+7w_*i(;)$5L152I*f(IF%bV
z$vTZ1ps?cNj?l{?O)hv4F2?EM{FoV&tvn44Aq1Z#f4=XbF^kNOf;$!8#!K{y_x%Mw
z$?wGK$QS(1#zhR7(z%n5cE4QL+eL;v`@x5?SgQ3-<-;-DwI~%88NVUTE1Jxh2SAC%
z5dPUdd6UVT?ngg94mJ=UJy;ldOrupujbf&NN!l~M-AC*9a*-H85)$srHWL<Co%?gk
zIN_nSK**NSj<d@*l#Cu5+y_6Qs%B=h2F_X%bkn_}5_ELnXma6Q4)JhtQ-6Leg!sja
zcp~ZKx^>)^-He@&&u`TSNjhiSjld3~KbO>$sD5l@Q0)%cG<KH1L(Uqz%Usqg>?*`x
zsYk7=@Y68I8BwW6S2SNfB$3X=%FOaC!PiW^L1ZqHVoTLv?9C3J_(~D!nce8eWPI7f
zQ00=Yy3tJAEI^aF-r*6y`K1j@51^dwTSB-2GERq-32ztXdwcT5CB7op7zTQ3Z+*G)
z-?=+}Id>7HFv-f#zhy=27Wqs#v#Uw59T&wq_38;;>eW#6%vWWv7S*we$o|)XTzpM3
z*G>|iY9dvNW*-7*UOB($exADjDJxh#%S=_10y9avaKee7*^=(G*ZQHXSFnV{K;S9M
z2>m}=HusULsH%ONMUlpsrU%;kfuPIOj4019_UHV07<{~D+YV(8oa7tu78bG@O=cy;
ziF_=H?fxOsmE$xsggr|LhNoi`4y(gjP9;-Ki-uY=*fh>xC6zg`u&6Ym2GfMzz8<MF
z`<1^qwKSfTV)@~esyfWoXx`m2BqZ+P{jt#eITqa1_6e7uqrxg{TK&6uBdPJ<oW!b@
z1K+sE@ao?<ud8OR*KH>d;6<Wo@wcOnT3bd3*<*>Pe4r`CL4@G@wGvCh!oHBtP)+=L
zjXhcsOpBkWx%mml5vSQ#)VW^!`d1zIjEl6E7T$7zl3yS)cXkD*HHWuV&gIq<_$zcS
zhlgpTo`vgcViGFvfSQ)K_@h+#HKA^OGUpClkL0%`erLX(O$+%h!;K**<>#wxpN2G9
zs6<xTYL7YNIm(73O8y;_8nxYTPi=A<DS9{M6Dl0!W7f>X(qsFnPL;O=^^XNM1hTW0
znbCy4ai6dt++qKkVO+Wr;&)!fAb9v5Qo4=cB7@+q^~+~g=Fms*HivFokw!wIs`FlA
zy6+_>GbWa+ByjP=G2Pn@7F^X4P46LsHoC=t!C2{E`DDU=TR-?iD;ad?Y-63Ja1dEk
zW*4u_I-JuXpMZU~L-doWq#ZVr(v_o|H7KIL7+-i~_dL}KVb}Ik(oH$k^R9_^_9~!k
zOHT1Zh@jBF9raKf)yE3qCVziU_<@?AgcFBBldQyF4ba<1v&#Ec|Em48Q(Xb!ur(|A
zu%KxyNAD>O!$QSdiqF5W+u1i>z3Z-Ya=Iau!Y+E#YR+r5cK!>k`&9=r3lq)Z2Tp^2
z!>LDTWB~>#_>Vr>NwdGBINxGxk2W4zk*Cm&c*M&@2-}>$%7s7_eo$4nc63vH3fX)D
zE>B3gjL#w{ZOx4FWB4exMHL-*{D_9(!>gIe_MQsb(PdewNn1F`L_JOjaqjts*UC9t
zrr%3y28gLaQ9JPFFv7FY2+S3o48l@n3WvAy2sN&1<&vW&)>CnDx$afOmySPolZHks
zX@34wSTkCrrhnwV_fX>_LbSla3dMALFH{|kS%gU_k{I3uyckZ97H$Z<gAOw3c`+ql
zDP?!0llV<HSE+61*wIauho^*uT<|Fi?%EPQm?|i7>IChcXzjlpY_yOl=KiEE{^VKW
zOG*4o<?*j4<PBlRZE*DxD%dEKLR2)luXvO2yX7|0)Fxj&Mp6~AenQSXKKs@0&38<(
zrPc>Ra3bDMe^s|C1aloqn#QC~C`ch$ev+@*+_l1=5J7xLr8bpZ>Ub^X?2!wuy8rzn
z7~X5|Hx!|-d}R!|hmxiJrF#||$BSrV1TSYT`m;|lT2Eqyi6JJ~thnPJgvjh3ZwHzF
zen;^@G8ezQF#9u$mVnFwOQ|BRXa|j{mM+Xbd#qqwp(JpIBvmH+k(~-I!~-?|3h|7R
zaY^9tM^o^-oBfcGB<vks8V}?@Dt-G^_UTD6o1T-6Ywwd;-)gEoTq%7w8};7#X{eMb
z94fMpt7@-T^Jx$Du0pnKv%Cscf#r|IQ@2xJt0dM`tz)>ki^<s?0wS(N(fXx!|AZ9=
ziqHVl#d^-eF$(@<rzd#Kw*!c{NQI(H#+0N5W1%>O-ZH8Okn42u9I`MlPBC=M<xYc+
zPO}YnBrp8`Zb)h%#fSZg(HaBg^{?7S5)InW&v`Gfqz*<$=^yF7aed*cZT=$fc>~s9
zK5I1<M8Hi!^<|{!xOkEBA^h-6nL-qK*z!~c+uRsa3Jv<*ceF=nVi3sL)Cd7^3Js1J
zdrn%GLqk{89TqejYQ!ZfnM&trGX?)B7n)4>R97v=G+)!L68BqJWRnjK-_TnYCp6SF
z#JTM3F*+|HvCN|GPifGo#I14OlUX)?&rwvVND)JPWJM|l3n344%+Jb2sPCnKxOEi2
zmq(_dfd||D^N+Fs21YBX`V7V1%A@65%+BIfacyz>UAfcAu5zHcgGUaz5YBtDpqE<k
z_Ak&Li!zveN+Zbryu*cxSK2m2aArNlbvyR5iIyhwTNk)=zyCND@-{s44%GNU$KT49
z#Uwc#qhm9HTaSqEDMJ@cDf;aZw<>>x3kxyl2*-*xLCCeR&H0dT3QxvceAnhB6lb*X
z?X8W+^wYz>HOOrw3H%PE^=iVp2@?FCXEb=JFPD2Pq;r9j@DYu?%u+=)!vn+8_wlg(
zPG4}@yK9~ZH%1AGzCWw`b3x&4u7}2!P~w?C<v(O7!b#2jFjg%-fJVH_kQx!R)WeVH
z<}jZXT0xb5vvcsp%X?E~2B%8|&YU$h)I#j*<bY=i(<H$Ts*F#!;9AFc>-B(_J1PVT
z!gc&~v@YOSk^b?3_=U8dB5gUqa#*|t2Yh|}6P)IsE4@szq$qgrMaU$@q%q;q-nG2^
zrdL*p0Xlb#p8nXRiHCkgCz+KJVzI!FHM~<_o2`<h0+EtrMLf*sh<w@iDfW==$K_2@
zO0xuXSY~X({VQ99gce>%<r63FX@&~Uy`-c)6#=rKDh0-Vkq+$rv4xLAj@Z;RndJA1
zsp8AHx(D2Dk4*`3sqfYj4(<qED)Qn|7|h|ZHJg0xC3t16ObqRI_ZQ8XAX)1OgVYOI
z7_pxt<TXOVfFLc_$1&s(e^Gz;77}Vj)UR;Be>Fdfoe%wvJBYjkHT?ms%&IeYoZ^84
zA}j7lucRN+x5v-A(u;ha$Q3p;knKzqb$|@fC+R1o6och}tHbX0Vq;}E<Hb}(?#Wl1
zqy@f>6ohX3L%<>bod1i*12bQSsxM*>R0Px!&WZhqAm#&tIew|h$iD+xW`D*q+Rs?z
zF7?u-|2R2u+P5GQ?Z_?RTlvU2JTl@BrX{%T&teWNx1+O4FvPY$R1h55RE&Ix6>JX%
zD=dLo15-7&`dJ-(@|+7hlSSIW`};Q6my<0)2Uq9^ic)}Xo)WS+B1L7=G@HUu?1~<W
zns&2m)(|R@={Q-u#%0H&zCkYNh6A!l)=s<x7S`6CL6~HvwhO|5)V^JG=i9{ic;M;I
z<O)yA1!g3ruHGGteq`TVO*Y?kx=mKX$$<}k@$x0g$Sz>m)|;4_xxC!p-^YH67ux%>
zyMnx`va-<J+PX<nqPZH>oJR5Rr>*4|6zm|-jAAVgL`3HF4m{_FFl^I7=HU$F>I4ck
z%G%$7_ZI_71#d9f<W9L^m|+so(I`K`+v4hKe2V)18|nB2pf?>ce_l`2+CWMnd(Sj=
zT2xeYX9)(sfvngN;IsDvoR4JM+S)ZvuC5Cy(ocM*Hr;*~X_PIOWR7ggf-f?_Ddv(r
za<sa$yL-)}N&v!9HG;{8K%Gg<s_JT=pY|zK`+yQ+eLGOi6a4OXTH4ySYU8YX&<0ow
z;H;;uudh#=1*;td1?~da<h*PXn{Esv;6Wwdz1txJxp*5sj}!AP`jaHZV(7^9^u_$v
z*4EFKEiL{3Y}_mObDgXY<}Tn-DIj_+rUOZ~_x#`QvQ{)B(~eU%QkJf6nZajA`EAT)
z@<krQAmpVO78jRVw4n|4^@A$oJMtnoCndr+Cu0lWRTaZ=v4TsGhOdHs&x2j%UcY`m
zUMgeM9~{AsGHmSJ3B>W(3UUW%Xl~h(n5ttL)vNQj<HifrMM?oRNdp;$LUUYPoci}|
zS(f_EOwZ=Kn**M4HVLEtyO*Z;np;Rlc_R$@uIRcx7i%LDG)H-0_aDl+Kv`DrXFpK2
z4gd=2mUfPC@GJ@o-}4W4!LG8$Y3?$r7dt^3?N7JI7u<jM(#5OprlzKv!PVM;#DhK*
zWQlmdCo>OJpke%-4{-mTi}SDh`}Y-Q<-f)O=<j<K{%r~f-M@b-Uzhz8+}%fb=7|nu
z6cAw2o9c?MBo|;UD2qS_%XPp(Tj@W+tDAC$eu#)P;d3N6>w$Uaj@aXj%QD1XX7AMN
zC#9wN6pobPmrvZX8ud2-@~-zUyOnx~k3T!{r&>CZ2ZB^l8n4I6W@mnV3wR$|pg635
zaPU@9B57ZbmFA#q!lwszW7-(pMM?n~pZM`ZVtZ7UwTTz?eHM^$C8;P%==AioyFCsf
z3J};FQ&UqH37Y6|?}df2O$~-v`P>>n-xUrhxbsKKR2Wj_7nbVx-56pm>s_Qcw~)S0
zr>kN{2L6d+@4sz+>G&tH_2;EH`v2vAJ>URbp1s7!$PiW}obTJ-T?yJ?pjAuLul}pc
zOSNF}jLCxSaflB}E4%6qsb3W6Q1eFcQ%l+aP;0WpswpJoWmW-Tev4${8l=s)Ab}5O
z?as)crb~Q1$n>QpzuCmfYPZ_*M?IpPFU#5Ksib(u@TdIS2Y!r@0Jv)<iE1RV!$9lV
z>YK(CuaI&}k3kp=roYKMxFca)k*|mP2y!T^N`d}<@eHt==$iaE<C&f!hrlm>&z}#b
z{k7Ekxw!k9!!s}>K!pJEIlsP$)I>dJN-xP1OB5Wgmg9mqj6z37M>f=Y?3-LJ*yS2x
zBO8d_Qx1erg&~5O`T7t$PeDrG#(8@<M_8T+%AqN)dvQKLL`5PpZyO7@jt4K)%cBf-
zNjq`VSv=A$vHBKL|BJha-oe(^h0C^sxte8vXGeRFcTiShl>nlLx+n;tp}EV-*Ds&&
zfp0|`Aoircuy(_(Q&Y9ITAz}wx`GH|EIL7&#v_|Z?T2Ezxgjlt(bUf^w8@-npT>th
z2FbARTUH=Dyy`xmz;3D{VI%hhj}c6U)50ZD9Y=XvHYF7t98BbmeJpsuKj{qnz73@4
zZpBS-o-*R)5MgvlNYA9uP=i@t9CL=u@7;rgg-0|s5L6Ri()<Y%RFxd^7be%dvZ3~Q
zaUFn}xijsceqR_egcseiy|*W14Q?ePT%)e)-5~L?^3XAhw$(=`%e)T0JH2jupU{4k
z(F{Oi6)8be)=qrPk6Sn43{6ejX!7x&>QZs8$d`xI;<QFUJU+7T5NQXS8EOAIP0%-m
zOu*Siu&amm>_D7|jpVg0r&S+w<JQTk+9D4>_=@017Aj$5^Q&pGey3QQAXMUv)aVwj
z6&At1QK(Z_K2GeIl`o9mst<8vA`EXTNwbGbbdY@-gAE6)D5vVF%mU04GWR`Sm*%bN
z>B8sURa>E<t0s?bHMfYc9(0LpqC_~I48>=^dajhl7G{%mQ)leL^TR=fd%eyil#b>x
z1Ph1+Bgl^m+<!s9TnSe8E<wwW(-T%@@k&!c>f=LPj=Quo-tQ!zKn^X9`Kfq#`kFj5
z1lyMm361*YXnvDGqPUE-8z?7@xq9%<_K->+H#Cv9-sS{@S?P#wX)sO5WVrMK7^4=C
zrsw(CPg`;onw6DB;JXPD=kW#G2oOqzCwN5iuV0^c{zf_6auf71;&V5ZDilOC5b~qE
zzgy4<@;2>04#YUU$Z3w_7a7Bsp#H%V_V(@fU{ety6ciLz!e}alT6W4P-})YQWEE$O
zR`g}i*}@nREiY6hxB=dw|Ab}%&H&Eo$I8*x^(1K0n&gkHAcGWEZGelnSN68dgo@G?
zx~j`+1VMfyMuEk&=h4qtQBtrid)!ydR^0jJp2q&r17eG^7}j(5W*mEM^!c_PPI#wq
zN&X9(-#K7dRx{oeh2*yvmqB0!W<tw9n}uDA!Obq*o2|Lax6{WZc{5H8k$M>V<7d0k
zFaGK|ceO&yw;$c_03-5UMv7ZL$*e<N4Nrqs%~G5a5h!7Crj6<Cp!r<}el>HTd-vP2
zp}g&?>ELeNnuy4zgtwDXE4;oA0DJXe7tyWwp_dPh7cl$C4m9zt?P}E(srP~2v#9r;
zSN87DUuX-6bZP0vjE^2tnu18#3otAa(KyB|2=ViK=r8Szn4hflc+svmCG*(oy)it?
z%ugS%X{neBW?z8W4%sxD0zR!d2M%DkyvaE96&hSJDo+(xI1uwSBAX9pCCOV@l5TX!
zNl6_fjLBP9j@+&}JF)OWC7N{%b)3)&oT1b-zA4bgmO}&@h}A-~H@07Qg#}M+2y>6H
z^PF=`IA-FY?$`JH<g&Gtj`n%mwyLK&&z?2BuO(D=k&VP`wSnBx(4@-)89^4q8JcaP
zhP}W2Kjgh-SXA%ZHo9n~Q3+|VNeKZ-2~j~s=>`Eox*0}VL{UmWx)h`vgdv6!=@JnJ
z7#O;n5r*cy$6x%P=Y99F_kQ=@-}d@|$AJT^b+7xruIoInI8RO}%2P7#XAg+eugB>)
zq>N-c$nOV6$7(jr$Drw;hVG5Ao(O(MIsaauQeM8yivDZ03y=MnN0e>my}Ziv6<Hh}
zxH~_lB^GB4kwI4{u}nIRxuf|?7rKn(hDH(dGRK48+<Iueay?8=Zbz$Ro=n)Z8HWiA
z#@uW2S$-|eJU%24TB?n*sQ80~65oTj5j~D1x;wAPeDUG~f?;xK%4x46W_BEff=T*Q
zL8gVr#-*a5z^WXor+`}H&nsWO@V>>YPkj)Vzq}()dsG(XX_FcI{LHT`)}*K9X(6B`
z^0?ib?MSg@x~qjLqAe%`mdjdEB(+V9MP@;q+-*LOJ3@L09wQyL&51UNpZJcKe_Rn_
zj0;}vmUTBAq5r<)`l+leU)c^?zu9UiEh%|W&&}b~#v7K~Sz71k?R~@;bV&b^1^P`1
z_8LQ0zK0=6={R#lTbhxw-I=$|ZD7^dAh&w4`yyW>b6ngD-Ui(L)dEr?_olb1@akiJ
z<goS-AJN0Zs+G$AQpU~(-%z3I{SG?vpv0oFfS+siN3NFM-rkiZ<EVBooC5rU)C3m$
z!p)#oGju=C+kx*ao&(59IOES!hMq{dHcku$w^L!i+?JPMO=Wp@o;+yYKy!X-bwj5w
zZUShI8EK7EPpX1mMV#h2RjR?SlmW|e=Fv6>u1}Rt&Ow?LFEV0s6mAtuL9_LFUUT3F
zGJ*twvn?cb5`dV@x9=s)w~>CD1>3Fg(qUCWjn!F{xvyb$c%#|#xRCs7hqbF^`RaBP
z!2YlFo`(@Y(od`(4u;#O9$($&05fvG6x^VV)osvbO$x@xd$`qnm>orhJoC76`rX`n
zGL(Gv0;y`gtJSVwhTWwIL}hnhtt=QrI&sdcXFoZY#=XGZ!s3nQyqV6RNq2Nxx>>P$
zigvMW8PA_+?$M<~lat2~ZDh7e=J`kyBLBQyQ27*7_vCFwWx-);aJQwn+C-Ieh5?V!
zy?bqkQ1Y|Fx_ZsTm-+4&2?zP_Y3-1bkvZa|H-!4ImePIbIXK3ThMIa;+@<stFp%YK
z%<c0PxaIs}Sujd%vpID^CXv7Gt$FD%S#kZra(P$SyT|rBIa0u620|wn8r{I(7y{#t
zmmgZlN<RP!Z9zpV7&223$cQ#53d>dQ&$d(wAO1qRd-j?Yx4o*;FSmYty%t&3+kGNX
zyP8LbCiLrT;|a?RFFlq-6z0iQot_+K+gxNU*>t}tEp2DK->FkXw0Sh<%Bx*)y_V`p
z&oF~cplDgxuL9hzrB1|4CS7kMLx)vp$kNZRVY9|Qb{JcnX1BUV!B!ht8fSxRF$0ru
zA67TyY1S6g;nst;s}7d)Yd5?1PkPniqT8+}bwwRE&*oGB(`Nqir6le%YyC!?;ird6
z)N?Y1CGxQ#jafA2K}#%?`7?KUq<RgQh;TD&5LjTLqq;my3GfJtEk8vS3cF}?9Bva<
zJyNPa7p9!X7|~|nGvQYh?5(O)`RMWElcPl2B0W8`hD4iPSLc^6YtD~&Bn!<G$<s<(
zgkA&#-1>l)rTzIxc}Vc=tH~{0zTJ73nRE>unPqAyxNRmaLOElFV6}Wmb`GApBi(1I
zGvwQdI~D<BJ+G>?#A>Y8+z6&>M7sASw-`sXO!H`av`i}`JO={T^M_u95{A|fciunJ
zS}=2ET^O$jr?~FJ2F~&A)CH30=xBM#6kmNM<47-i8yg<=jp0|Ex^K5fIjO8KeSWa9
z)>CA>bF-wXrfO`Mz;k56k^dozvXrrMDr9i3MO1iKeN7h9nZHu|<)7s}^NLe0Ya^yJ
zBQou98U9F{=+D8mp7kkY02ow@Cnc|Uwla|O1;6;IszCMZ4GZnrH^E1~rJ^H|R|LCc
zDu+^UN<M$_;(9?I`tEE!Xh0TZsK?x|5K#Q|axUKet~C4U7|?taf+S^SeZj1X-wYNE
zBA%5ShZDS3#Ksl34y&1fEnsk_jkML;p$DOZ2|F;bR5Ubb;2H06N49ei-p^Tn3u3<X
zvEjvEnh`Zb5I7Hq(I6Ir41r=`d3t|N(*4T{+%7`?yhbP=GjIq<GR@9MD(&LVq8|C$
z-Nycsab@t5nQx2HC|G^pqU8W0w95UHRC(IVz+4)a<}P2Uwg&;A`bt&VQb;SPojvz`
z#`zk1M3N>?#ZP@H#7iIH1nCS+=|yu{y~iwH=<L4~WFdhwe>vFPIK4dWVov5H=HJ&g
zvqhH3ziVc{XXXwU0-D#FwSD?h;?EUCnd`_wh!s`^6a4r#*f0^7YOKx^q3pY!zi>;B
z3J?F%vz`^E7+8xZJY+Bu&HJ!%I9HSxHZ}E(m)nsL((-XEE&d_BHyIcReXDK*zGeO>
zDIsB>(|-`mm_}uMpVkgjUjhDFBYcFW>s&-zNG}HvkUgAe59O0;C@;sV@w_W$20mPK
zu$s=CyUZ5gmDlhl(E4o&A>|G?D_zVpG&E$E!@(XVryC(Pm1GX9_XHa64Zzi%1z7P2
zyot2EdcTYQ^xWIWc+&w3X|XKyA$xLAb3?O$TJY=eijZ7UvP~Qaqiid^<ZqYaMclLB
zwfBU)v%j%pd$DxM2R9D;!Q`rgah+ghX6CW|u3ce9R8p2KcE1jNzsDD#jh!lofEHBC
zTx(I@>G?2alY!7uM%!k_{H`Q^uxaa$hO@J>I&E-+E10?`?DZRcDKkT(Jrr|Ktyc$g
z2A16)Y5&Qz=U4}~_aon4Y1qEb&0lSA-tBg!4NUAl=JTf^s^Uy|=qtn!Qb^#>Z&3N#
ztW@`*);%Q)htepZSFLn%0z&;KN*Kz?Ti{+NywC57E6H@y>b|@!VBzUGoVPqa^43q=
z+FNySbphy(FChzBRoE1@8e+$hU?^`+e$?LLFZH*s#+tVf?VYt{`HwlQfET{*??(dJ
zu3dZIGJkj?_OZ%A$wK2<>fDe_NHse}C*Q*BvM#~$WR=b$^3s?iFUfEb@q>J0+^Zln
zbd|IDFWhnQCC7u{mxIM2)zr{$0LfD~wSMcjX65-AfQ^W;{}Lp6fWfRT|9WHKW+d&H
z)z@uKZo8Jo&?TN!^bA<j=D3`$Bp&?weRIwF=ft;1jO!=y#N4|i2UgQn>+cXp`Gh?C
z^OKy}SCaJ`u!YS0#by#HtZl}zbjX+#pwW|Vtn@gjh8NV@nQM*5YVD+zTjKx?(|vpm
zQCuuY$XS$U@~&;>5<NRYU|I7`<GIdKL+))}=*eKZNq$}?a8wl9L;}@|fh#qxytQhN
z9u?-^l$8wnb&wp<VzvSm5JI;0{rx^5@;N`!(<R+!%OA>r?w#Am8i#_4AdN^(b)2TR
z41+;Tt?tNNoSt!w%5un+7BN6D=%ZueiUe@4_RUsSRziS<c?bm)db%3d)cpFhYIn2{
zza+)loaY(xg<HMzlZghg^_oS>7=V^!M%h(!LsXZ*&oP;w@Cs%{SpzY3?>`3^h^b$0
z&3-S#K^`OtU@fyVKH&Z~tUA}9Q|VF4q{{Y%JS{)(6&6EF_jI5N6sJdcrp7@(KId5x
z>{*w(g&TFGX8uzPFk|>Bk2aDcA~cjZ<n~adJ^CuanC@ytQ&Ury5;6C7!qI|(zP|RC
zfhACU;{u#~$f_i6FwH_3-iVc^fVj8u!+NJ$zU$?_jO8k+axr{ebE;S~(svi-PIFlA
z7<q%Ga^XdXjZbgLeT2<CI;?1=7qN&MQ@B#Ufgp$%U@$0MxeCCgo>uX>$TqE=<d$DD
zF@_QQ&hOeo^C~a!)*^+`nR!-xmG!!IcGzPX08NJuji2yT0%e6*K<hZ>+9U-V5>8g^
z6q)eWQGZx^ahsx1(n32%&}%g7?yqB4drGa8-_pgKx<Mv#Ll(lf&xf?|I0PpD<?k!o
z)R(8t-fb5fKyA=har0Gd#Z=(r-c6N?DHgr;Oi*C65E^`h)Xn;19`8kBfwhwc6sQ25
z`6D?UetJ1tu)rcu>8e$=PKBk)%nkaL@&rl2kxFSXHsPTgIRnYlvc{c)6I;iUK;v{5
zo(iM(Z-Y2vR8odM-C#{jrwsTxrz@ZZj`pWKxf~nQ=j`<tJ4-b$hJ&{Oqy@~m&k;HK
z<{k%f>ZUNRr0Rdae=RIA6&pUoS~kR8>)7%1CJ6_z>m>$W;Ew%>CX-u+WU${W=_J-)
zc1NuEL5BK#^~fq}LWvB9ofg8<9vw?R=-08alY(99LIqGs_BGJz0c7EG+=Soh#|3y;
zjtQ>}$`?#1<0}84HaI^k$bbgec>t7^ndcqEK_|D_BO0Xq(vHOLi&Y{b!orSKE6frF
zD^*1Iz%jSM?CP2sc_)8c5n~R+j1`m${(1vWPnyP{ZNN|aJ>}R#=`}E5H-Yoayz=He
z;*i-5ziDU8#9O_~b=kvgY#Br7sE!P^s83L#AXoQ3*!z0zzWxR4VEg~Ga=jA-!cLxc
zc+3OT{x+X@830!UpnB@UF&Nyt`6zRngPmQBds_v%+3Ia0BqX2(z)fpB4WWM?^~X-4
zM%A*0hP0GRVL4y)Q?Y$s80;>$RCZplp*BxS#cs<;&s%^fPtJTYwDU7st?7uMYRrro
znhL1{Sn*wZ&8kLQjFG${<MRP+O`woocr%MIFyvisVkrm`sUf*1T5`ZuZJr!%r140j
zr2C{q0nt}I<V^p4_c361_)8rHDpOYnV2oM$&UV+19%0d(BVXMc1o_|MA)-6lJQqMj
zk7rFYMd)wC6vb%EcXdp3)iQ|jpFhngOdQ|f`K;|OBQ0@D!~*c&NZ`Nk`L4EX<6+Lt
zR<nK0nSZTkC&2lB0o`Po<si~*{f5G=j$oNB>fh`IcuLndZ0-O|TLG2~kUVR{NI3TW
zH<XqZ^!vM6sp@++KQPqHk%X2Z(l&Nao7plKfW&&%yWi;}lf)dxbbq6jq&!xc2!Bvb
z=H9=&y`S#*wG|J@fm37f-yqb54{GTgKb=|`*`GfF6$nDbyvL8<3ERMX!JuISs5&U;
zMCdSJQ6fpq-iF9YV|VJ5hYoFXq1s{F3^WEjnR3_2$HU6JqVtiCpFgc`PmhM5d#<xG
zOm5CovM5=g52B+!t)1YFLme<zzuN-GD~(bJpXv4~DSCdK7`A3?A={pIlTb{s60l3u
z(9kGuP^dEKBnxtKy|k{{HHF``<8KUXj3}W}-GWOA57)0F9YVhQ0x(Wl8W;6A+b;#p
z5czF?EN*N*UwIYSgZ(*&P`J30cWrSbKKgHuU~5E^|3Q{FTU(5ycfR4d;hZH9kJPQy
zpf%mWlI|G2T*{<*`0!zTcz8I0RvlYoHeeK`Le^F!dh-bkzvP_>QYa>LGI-Y<x{Jek
zp%IRLXP^VX5=n$(skMA!f~8>~-z8;>U0*i80am||wa?nokpmnpM?eMwvmHu|U%n9K
z4Dp=hdyq6J4Jf)^an4mnbiX=>yG&23!Lo2147{dIN=!Uh2JE;Kcqb{(3XfTZT?45t
zS+bQV^5$-HM6}6G!HtXa>Yw4($8qpfoYj`6_caKJ0+~!o^q%q8hE8cC+BO8~&^Q9a
zf;{jE*xZ1c-0=WNPc4{vF*TOIHxjQvvST|}?{W(#@Yl+lKh&WmMi9kAKTPsgmoK2l
zCR~BM_`Yj}Z#}vDaJpIfP(8*uSyoGCfXTHc__A~#5tNZf4N**9?ZY|{IvHjw6t3vd
zRX^2=AoSD&3z@%c;633t>ORg}zAy>|cgZ-R9}NI7Rp-*#uo>jq{&G$RBiofS`u+GS
z1vl2Z6bsQ#z=O*4*=h}P5J~7L6|B@$uZX4PEu)}Drb{g14sJ<YyDt0nr~A5m9?vV#
z-de$R7PWoO$p}4LldQaP=;UO-&+nuebZy<pA6t1kkDYr~=mWT~B+UvVC0P$p%IbS1
z^1kMkU1`;WF~l$1GGmoqdG$BOkW?8upFs3$Hc&HrECAXoEWv{lac`p_F>Wl^au;+W
z1Ng%8SLSO#R3O#tK3+@|Pf}94DVGaAJAY5^pr4|!0!27XJjn`aa0`FVgW-!_QzLwT
zXDqqQ{FZj4_s=e;VUxzL#X|`+*?^{83)|x?9~LIIF$u?S28tjB9VT-zqCFz0kKhNX
zDUHA5rGY2Rj<X6Rw|jgA0KmW9Veu1BDheuRU7F>BOiG3@^?2}!wY;PGNqfP&7e5u;
z&~|O*!|jbUlE(M#eOm5b;B|r&-*E@r%$37?v#Eh(Q`th<j~TM2+fS|79RfRH0@%si
zot=0cOGju^*kYY5N(K`*&s!_mvMWFbr+IvIBn|_Peu4uSh^N)g{I@DWoI#;9tCKk`
zaGBc&kFa>IRoeV2F4eUQtJuA2-tC@O!|wmWk}gFNswbOVe<6A>0f?ZsZCw66yJ~C?
z6P7{C=k|xCr{^QbCJ--JUgLJ>GGgtkKpfE$V~iMKQU^TRXZYwQLqd%@bh-0g-B?vV
z9bnedg1!53$3`QM`@&wN<2fRTiRRVhS@Uk*{EJ?<<Z%3RiH6iKBjH5krdomKTz_T2
zz*osRr@xDG@ZU;*{{HXE;6G`xF3k!Cy+g>~B4(SL+s5Nm+&@8?3_nW-e|`OUcc_<m
zlNxf&QRf2%1b4;#FNIOR`a84q;>IOU7`Mp#wQimkP?}-57e?*>_kaEW?4QIGkd^*>
zz0=|Cp#2kU0~QE*;m)T#+(mPTi(v2Us*7xZ)DIhZ5HMLFtIr0tY3|rUvcjNoh6>WR
znfNCM=0>UI(*=5H?N!5Kf^(P#7NLJu^ZiKKbJcb%QpmhJCwMIJ{$*|DjQ$F4;k-N=
z;Q1oJ$Th(l$7U>Y1tcpn@&tE%P9s1x;3di|W1v*e&20iWuT(rzV`#ss*&0zk%mgY=
zr^Wtr=Vthx+y~Gx_fK)af6gJ}WEbGZ5qX${$v~QQ;>~&$Z1|rfM9QBe1m^qq*EA5=
z*&>hwPFj#~a%j93HbFhvy1xzboh$fOpYfR1J4%{VtpDa<A7wW*oGL&lqT&Barawe&
zVtSIqi*s&zJss?`L`)>CjP)!Wo~(`ZpeQLRlch{70dr0sp{AsH>)-5ddKO@&CM?7^
z?nJ_!Ksr$!swBK4!Rl*&1&-U<Nuf3+f^=;gbohF}Kqo%n*!_hpRj=%yryD%~r<w}C
zra2@3M|7$zF9N(I>fY$zcsf-lN{;TSjPt(-$c6{Zze?$_C_4`+&E~2vDb1qt$hFqk
z0G|&SfLAWth@se9laG`vL3hLBKP;pj4;l1C3(qCq<=$3@Rv=br(_ZWN*Yh}|-Aq7A
zJf6CvbgP-}uQm!LrC*w$XG&+j(q}?WohK!jwbN_Z*x@96X0_9vO#X)k;Ez&M&<>z#
zApTkxT4|OSq$A*4p2$Jm@xuFdgpvh%c6PR}xOzS@2D_@N^!2jp#U`(-{taCY4HS)~
zf6`1?d?liirql`~ttbDIq=cri53(cMB!Oxf;j7pEb)exhljIPiWg41dk_)0C++*-(
zgTi~G)iO7p$;uHs!AbUIi6?P+Zg$+k?S@u1qRfwCRI>9#s@FKr=o5TgrR;@uT#1vu
zb^A8_!kuhT$mHKfF+fQ}lLR{Q;^x>5Y!_A(tGU@D`g-Q10Eu;>kw0~T4RXo`92P+7
zGp;IOP%j_@k2!^R8qccd{yH$K^^kE|{PEcU^7g`r-&d+Y@KmzfH|d1UBnLeCO454f
z+cOGtK2GbMfdFD(@*mCjGo!dY6*S6C5Y`I~n{M8Iw-ohM$TqAYP^Ef$ez+g(NqmuN
zaIg)p=CcElGC3W>Js5P#;oopCvgMOXFytxdk4WD`@QPdbnZf&fSQ-nVR_OBkRgERD
z>zSM7(+c}82Xc8lwuKVmM9}@K(a()E>NixY_d$q=2CUCjt>dqG^)NtVd~tgDmW;#O
ziS~{JZkWkcVZqKLEvjt|JlqCYj8n+T*UD-k4XUyY_%TEvQ9Ml18qYp~D<;`|1o9*~
zk*vw%9OBG|x!mck1mB+B|3dE+8gPd5Dj!6<*XU+;1*-7fWMx_iy80z<7<+hfE+Vu~
zo0s!3cs~5~@uCm!NSZ4))sJsue=LIN6H()HXc}%kK|1N!C5^cYrFO2HL*D1^2>SP~
zniG8@Y21e}q21o8cPus6QrbgVjXS-r?`RZULL_^qnPAXYc_M;mBeWyBql>N}>_ZcZ
zW|@HVOC#BQ1~Fca?htG>E4>AkJnxEq0wSN><>274XjQpex3pH%c(BZ%HzV&QY<DV+
z|D&&q%k}|ydaV{;_LqyFubqGQUXe51M$&b&?|E}$LF4bH;QQApmsSJ5eto|F2Godt
zSQ^$MVP#xgWLR5da5fD1WI$zXqrR;(NEz~vCu=LeQi)BIA~ikNsMY?k?*o=#Hf)b~
z>Kr5|Kaals7BZxq?2Alz&lS*p#+2j(@#b~mOCBgjR;%2N&mV)7RRqLL(%-*U_#6mF
zr)2)zub)VXEBc91`@f=V_(kg!Zu~{cOqg_^DE%T%y+td+LP}`<`#h~P6!h(mV&ucN
zA|BI+S&BNBu@a~biU1`8CA1WAD}7_Z(@Wx$zn6P@dW!r13?ZQ7PbKu^@R#e5r6!Od
zYZO%d;z+g$rCzjiy(oO?8DkWo6Td$P!QOZasp?n5F(ATqPr6SPT6{8C4jp~fm27hs
zc%l{D9zl_<dmZ(^aw09WM*e}T!Le!D$udsum+7?4p^omx5BrWeQ0`^XnAfkl@7Nk-
z1)?ON-wBb(k;f+1*7TRHLTx@hag|K|)dhuWUb?R>@MmKwsg@%qol(-(r|0h&cpS=H
zFLo8b25r`m{}fbqkbN31`bAlTu9_m=Z#F-#o(W`)VME+!{$dvRB>lANZXO<zX_1En
zFHfxoY_z{Qxe@Sss^-HB-XHxWZbklXg|B`Wy!u+H7)rEb6_D{Zz>Q}hmx7=S8{9m9
zg0uM4&j2Ya^*>k2tCYC$k0p<_eAF~Ee&uH&$>uV$?X*7F{1Kr<jcH!zS56Uyz4f4T
z=LVzy2IqS1cA(aQ3o7o;s>}F!1kyVG3vjZKxs<q5li+p>kB=K?rTY%2@U<!`Y(P<O
zIJljcppglit73jRom66_6W29ztnJU(B$3cx%_eil;M!%@j?i{@L(U5Xqmlvi+0W-E
zgA^jzI@~r#AzEy=8&zV$;Qeo)IH|u|+;>Qu*W#b*8~z@t?MfIltj9gR14qjdI(gEy
zsaq(Yan$`@k3AcpvG+831m9ElVZW_e4+NLyQ!8G(t8gme5cdDQo;r1*_rbi};`U=z
zrHeb|pbLx(8i!KfD{-d@#?a8+3arR4{oMCnV#A*~fGL=Tv_>1`VzbIU)=%ZDm$oC}
z^@S9pKO^Dmy4(YwZ39=`s31Er`}xv4&!EClpEz-+KXFfbX9Xld(^yMD`8@6Lia+nd
z$U+SgG&Wvf?0?XLJ6<tDjc4VV1IW4o3Y~mR&CI?5W|1;yc@2_f3sauZvomRPHl~{7
z*1CKB!b^I8v<j=`*M^1(G#JgG2>qCtXlQj#hUF~hE6r9LARPF2)RK~2N73ju@cxo6
zMYe+|<Wf`Cqoh$#sz;S~KnF$O>okBvRuADP<IXFk@~NkrSsYW(NL&iF-)MK6WWI()
zFN<gh5RXtB5<mf8D~Oi#Uc6+uf0e7Bp|Qtf^BbYlyz;iC_~X5{UuMprq!WKVwO+U+
z;v>J_cF(fCS5!De*68fy3?xQWb*3@k-2NGVRV@2yp7Iuh#vVJl-#Pctpd4;|1{(}X
zOw!!Z*YY_8nxg3$88e*1A?fy^Z8OFE6;+8FhcE(9;>NzavlKzaxZPa`@m9m4Je)+h
zYup0-K_8a7s_2jds;>hjaOI%PiX%a=9x$0f6}u{Q`?-0(JP8lke@pj8C~-Gv4$2Wu
z-p%Nzz=vMy8VK5_ms03MlBkHZzdQeu@Mj@Z;JWW%Ln=;rhhU=bh)D$Tf>{(jk`Ldn
zaK8iHe<_C5rHAL25!BOYkr0<N97NmHg{5P=Kjtzf6mt+X+Gv)d5`u%@oBatMI9MR*
zr}78)pfQ3;bI8|#`_VQ3OYjI2!pWqNvqcYM>dByBqF}8L8<!w~oJ}UBubvTjqs9`c
zR}vY_ur|$T+I(>$+Hm59!-XOtf9Fq6K4p-dvnD9$p{(k0ACeq7OK0~1-YenXkyJl5
zY5aorPK}PGWT?G|i8%3PYQ^kx<P~bUgK<;2_Az{w`seQ9+mgT)v&$r$HcalP06kW;
z91Q}s5X7dys|!S`<xFnb@xS8#{L8ET_$x|?0pOt4(VI;1RM~ze-_Ink<`{`5@AH$|
z5OHpDi3}u!>$Slxe+h_|2QzPWAJw=H2w2=6F{rN?$$eSQ*6a(Kd5KD_127tey+;17
zfB*5GwpdThJ<G4_Mo=Y}$lN!53*|vJ5+^J91GlD``}F39_j7Si)>nWD?V3n9jtDmI
zCAzTun$v-4^e5@rw**27;iHXY>g69S&Mo&TP;U^`Xg`<qWE02M*jz0X>U%i&VdXoC
z|5%A>k3nz`kJIm)qMP)25xUN@PkIoo|3r_f(NM{ijV(3_=kM!6tP_znl|%CQh4D|#
zm$qa2I^7PZy)$<6#}EnL#D2AubO`GRMN%O^V`e}R{Rbxs(UQg~q6BKANGnNqSBk<1
zm9{%oy@p96=c3^lTtEhya7c0Pc=ivL&Amm8P5s?)d~YMT^lOgx-J09^a(0iA3w*+^
zOAVZddq<KjTHzP@?0xWyJ^%F?kS(K9`a~P-{CO=U;qlmc3#k{6D$Of1&bv_l7`c4e
znQ755G9mVv!!n7qE3R86F6F)ag&%I@!YTe)8Y7Vn9&wV9a^FBbgU@HJe@&=S`s7xS
zM13G5q`dWzY(open5=vXetho#L4~4go$MT#W#k<lJVpuizi`_DS=Pv)U9NPV(VI7U
zf86}^qucvz0$s)D`<7FpgVjNUsgWt>;<#jz9~hD^Rw60LfYWY6WVJPOI7^f5XAzA%
zrd%bBzvyy!Obhc8`(|?2#Gx}bTOPOX65(G6-P0ZV$NdnL)`9jV@bA4l>qYOcxw~*T
zWH{}G-v2i+??P>=>hfO&eViIJnqLL!`1@~TPMh8k*b+~5e<UXiCZdbJn1KG7c+s9^
zZ{#TguE7h%C*9HM9>bpN3EdqWNwABuOFZ&%9T2;mO|YU!6hut$eRRU+SMuBJX;iv$
zN-gxy!P8Q_*EG`>@&$e_;W0+Xilc$<&XtgY`(i$48rhR26yg`Zl!JnCHNr*4$a;``
z5nQPIeY+3)QgderA030a=URy{K89LDtqtN$PwvP~kR|nom@ZySAaJT(fYU*Ubue4l
z13H!S!m&R`>0#g}hseWZjqIWtX0##DdAv#`D#5@u5c2x^l7Bi+N;H$YC=;bjO1SRX
z>cYXx)-_8B`ahOp^hB0A65qKxw>=Ujo_=_xQY$m6<n#F}R9uX4J^XhFhXs=4zcD^=
zmy4^LusRv8{o<0Fr+G!y<-viEF4>yvZtX-Jt~3vMB-IBFLy=W4$me|Ne-TP_Ex?|o
z?kXLe{lGS%h3O0d!apI!c(1!$%<}9<p1ULt-9*MjQ7t!NrHP2e3Kkg-jb6FzQtk6K
zvBxX23<Qp`-&QYtxiSA{Mkwk;I+|t-e#61&FNrd4?!E~cKChEOt=2jY&&uHwwMJEO
zr*J<KZ?)3na%ot<SR`*RARF@i(E;Wl7N_BxFe%jbi$EGR-vb&WwLXCZNwt3I!zY_&
zRkfOlSun;V7$r4zy|+xXSW=G(sWAc4H4t@)dm+DJsO&^u9D67CBf@mJjLO51LaI2h
zP>Sm#=L7%rif_|q)*<qOo5?E1mo^Xv(n7HN=$0+ttO<vQTdl0JKEfN-ESKogHaoV$
zRq5AX5&orp7rBs6QDxhK?St|Q!)0iY2}ibxXK%`5igAXd0jJt_9Hi?q#k};@p_d<Q
zhqTPM>3*hJ2cx4YB+fj^)x;notAU6g?%XF1paqTM4ZH0!d;k2N^qn(Pjn(r7sFl;`
z+EXi7gG^VM-*Ed*a68<yrIG7^%$ze8TS*S)(qQ`E#YnyPt>!BJQIXCAD}Cz_dN-fM
z;Ah^m+;l2MbwcS=l8=>>-!*RfoU_cH`c=M{Yh~(?rK`*Tl5&m1!sUpnQICV!=pp%E
zg4If5z3mOYJ}jG$CJ&}}Zuc5h<FqEzqWppm?>5Ro4R`CSG*D5_MvZcpXiBK*i+zeD
z7Tz%WoU86;+FUm~#M*{Rk(*j>7@K$N@x*jeg`mO2k?+ik4aP_Nskd57K&L}gEeENr
zJHWVyVlMpLWzS@OZ}jn1$cu<5U`$X7gw~|41AFhXO_!B0l1))Z;wrKHXYCmkG2F~y
z`QA5L8E|v_tjO_RAZ;~|l^YO?eO|R62<o33&1p{NGJ(d2M&lp-bM7dzuOT6EGBvY1
zIs$N?t;i_EJqdZ^2enM=Cp42+d%v3McA@+kiB2;;PX-#}I*6uQv<&9`8%UOC=^Ho*
zeM_p|EV$B~K4U{6`r)Szfv)chtU<0m!VC=k@iMD$wggNTYyxPge=HDlsAig}*`^h-
zWk?bn0hRlCD@;4PyS^7ZtwXnVcZ>srli!{+c`R}y3t>Ny)t+UKLZ-aZ!?++cTNPd*
znBhV8`R`&Rw>>DWpXw%EXb?c=%o^F%mK<R<U@s7jY=W@afD);2bNF*dk;maWo~xS}
z)jfgayCDSt)`M$S+hEN%6SdI6sD8){SAC;~9oux3VQy@=ve8mYGpvZ|!p+UzQk;O;
z3D<e&(+t{@SE}E-zcpov*EzMn!T9Uw=qQ|an^Nr2K<;2`!pH+T?BFuH>0qhql?U5v
zd|ixR`^xNCoNO|k*XwPaYrz$V+&;Mt)Z|yjjwh-Qe*n@+@9^#{;qa}^E6v6s=Bbx;
z)nA4481pO?GM1fLvpl(v{_wG+S3ozu&FZm2#re_jo}R|oHLFpPs)aVMego8M^}?e|
zq72)d61EFkjqCAK{nHK8rI$|oD6ns&<4&&d{c*g6Z4%|)yO|#6_AItMWd(+0kRLX}
z3^Th|f2;2d+PGKbxsUlgbC&8V6BxR<iSfqv0EwT64~cv%J$U!Y#QKD!rCEWg_4V9>
zhi(;6g0iEWpD#qIlSYW}qDD2TuEozmYK4OoQ}VMO)O6T3U{f}3%E_I2t6g%r4ZnRH
zI3apXu#Z2cq}O3_iHJhCUy=(&r1!q(@l@f}p-@j9K`}X^9!vJw$|O%$_LW7RJm>N&
z+4_<?bbGyOQ+kOTox+^cmJtUtGsRV}H=1te{w1^vUY{M0Q0o8(k0^7P`%d!X0k?4u
zB|sqE69GhZt)B(iXQnIv)B<GgQsXBM`F<+flYZ?ql>UH%f}(-iaKKK?apBwV)_VHA
z(inDwO1mYV7|rZ!I*}&<V9y=J@)vo=e*6UMT5^KjeQ>sNwK31g)2(38U*#IRNRHcV
zA-!eRX6sQDA1sK&h%8HOI*cUv;$+p#$=;N)m|hjdKW0J6B3h_?>57`v5EH7picMko
ziS-J|KVS1dWvR;Te{p18XWYO5WQB<4Ue+1IaC9P4b*7_ZV`JSvXKX7*S$bBj0;JeI
zCj%-NYzz>fRvz81I9JY&f1nxA&1B0a;PTva36ovm=O<boC0MC`pU}<SJZ5=$YF%B%
z0BCxsp*^cVT2-$x{I=^@akF|n7gAD@l)MjA2R(ZjEvLR~c$%|!sY9>@qKE9{jjJuy
zOAGfnfX>^Wt369yAWn^Mx1B$(%O^ifb--=KtQg}`EnPlZrL_kb=sr*uc_M#iigE0i
zw?f~30ZiCpC!!9bHNI$$q^_d!Twd(Y$maC~b{a(xT776m%_b>Y)`TsxS-P!VgQ0L|
zk9@Q|_?yPJrSS|YSCc~Hzy;OLCu_zgRTS{+W8-gAUXmtKUDw(4kTS8e@A8Q6Kui3v
znJr|06<}aoxDwt*>3Z#rM6>xl?PIpDde{G&XGljE`DhNGpw1h#5xG-bI{|saGo2qq
zjm@sdk1ztjR~FNn+yzb_@g^o_cWt8Kl*;l=!tvBkl$4Yd0)bvjvE01`WZbKNX7W3L
z?PX<Kp-+6X{1g=YN_xwpZn)fC;dn@;c5~Ylk#RoH2!4tlv0luXpNSQGRT=9-5=E?r
z-uE7Q6|ay<jxGv_R+G;s!3fC8I6F0WzoYeWK~m^0EqDz){oCAfb0>u*jet3X8tcBi
zH|wW4apFYZnbJ16gLs9@Wgxv+8LJb#ntD$Q8Q2bCjTum(_R3wxyr95#`h_bMw|Uzh
zvq~AIu$W`mKMyu4oF$XKQMgTHB@J`_`do#c&j845*I1`UbgT36zFZ-UwW{6!aQWoi
zgyi-L<AJu|)t&#WSzEVn#;`XB?-y}0YS!ySj=ZhDb{SYO+P+D@(8DaVI<EUP+EVPP
z=6;bu>~m-5+T!93Bu~iQBBzaXKfkXotKVMf<r2>c4?XQUT)ld?1l>#VV$E%Com493
zGFRF)Wy+Edvmtps$=}Rl1#9NRlV&1GuF?c`@sE*^{H+(uU3QjD+H*6%v96H{sBrad
zAGbwtGz22)zZHYQlrrVsry!7V2h%ipfs_PZP2Rzzeqx+zSi2bIXuNa;K77jgM5r8{
zx=<M0u6`VtyF=sqlk(E#C%Lo7E{M7_mBvJ9lh<oVYH*gLko*2^(<0|hZcG{#OdH9^
z>a6M~PFvDaW~KHVZnU21f2aGqtu5?YYpp=*nlZUeKj$A~3f`7_ViqD!CDR!urwN9E
zj=Oa6r^$f6yv4OOHaA>tK!i^IAWgBGUDV|b0^^zWk6m*xsG+>mTA7TL)aES>#|bxh
zh{lQsQQqz26VEJ*Wr6xjG~>d$QjzenV*-t49`&1%1mBu9F-&SJ!~CWVqxRaX%S}95
zNEmN-^0zWk8kqU(4+S^(c?y|-Uae;$PipG0+A5$DYG%vM@V<8HdD>_6y|(`Hh0XW>
zoM1N~-7>$qxoN-ws8sn$9bnDFfA8*EHf9IN;B9yZPo|f3B1VHJ216s-v#J)mF#*<g
z>K;3M_K{F4?CJv-wSI9}Z+Cdjp$y8z@0e@@^wsRXEUwVbUn8#9kT!CTtN?lrBErHy
z^*55ab>7TUANc*I>As1$Oyj5ulxdwP;_uxz`0@CeFM~eCk2;c0Hh8-&>DpB{4+1cs
zxI>@I@$>jAzGky-sWs*IB`D`8vFMB#Ro7F-3DVe9sV;}f&t`|rlLf_!V6-wx=0xqE
zH=$E}FMuT=jllPiq@E#iXK5mhIrRdSQ|S}nLNQNUB=bzUOdx(RkTX85$$<Y1!OA#!
zOgPfSAwR&~O}>J+_&e3J7!}Mbsbp``(J<*>VRYr`mzrnyn8}P&e+BCNMPh=l0?8-(
z%?D%|@=*x0lJpjZ_u})<4lesn-|%)2qp^!V_mTHUIZ3|9e89$-=$9LAIKnsL^Vqv6
z27_CCmG%-L&A-ng$Gg37t(4-@S%s%NDwHsJe&&CF`|PW|lhZq=u@R(W(wE^^9L~U1
zNnp~JaK<2}QV*60Fj4T%L?x12{Dz_q4TA`B{MEel&>%&f0k{P*DJr&<A0sI`Tb4Jn
zi7bdl?c>vW^Zm<3i$`0~(!P7|t=me@{d=;wxwnsgqsmN$B;H)hM3N}#2!2%M6Qe6x
zgx3b`>q*-#$UEe}dz9v1C>63xan^0ubS?Uap?|MKfqD?eelIuM^cl52Re@o^<&ML>
zR?44Zsadol!E|lua=wf23x<sz6Z{bp`m^Jb)4+-a(|7j}beDYaCy};fniDY(oa1N8
z)3TetfYEJ~E*`3=zPPx~%L7-1dnP^Ct)*hSlB2l|FOL_@95R#`|J<~NGzye*kcb{R
zB}hA%Q$4jr-u%yowzLE_WR6r^N1~gGcjnh=Uen@rMSi>X!M1%4ca1az;!eYAPbD_>
zO^3!$Dfh+|-%=lw>@#-ii2fDI7?T`vZVLK~gA`+VBV*6%38-L+02L<>WhPcGjClJ_
zqZUo}o;QclZj%gjZ@-no7`F2|sh-6QzIAsKxIOd<#ydaR6ND^-J)>S(?IkiUM_zN3
zG<p4<TJJqkEU_J$IzIK4Hc>heU32h{>8-7B#ziW4(~HPke=t2A-N;A0>Uz<j&0B>t
z8I~Rk-QC^cHWe>Z62fW@tyXppj6k)-LW=z_n+jNrN+ys6niqXEAuA>}q*161OBk{0
zUhM;pzz1)mi#?7MX=Hv6G@|^UP4<Gxo;sj>&HYwVkI}kscI|1La>kZhq4uHGf>#)@
zTc;=82aLW~;xA^N8yX4Qv2U(yI8!^{QZl2zh)zXlw+qM1p2doET@_j!A>{giI+4V@
zxKK-pfG$wv5s0$Doec9DyB}gQK$izAS8Io}`SvmeO#UAf%3byVG{vss0tiIV_{{Lq
zmD-aW?R<MzoD_%e-qf{#2nV<ImvtvsVW*cjhr7EUu7SYdMk63l2%TWSqe1J^9;?IS
zjb5lk-mWqZY45#FIRRO}%_g!1|3hG14*k^#)9@G}yu~%xu+oD{EKsAVooHB{WMwH(
z{cH)cf^aq@-(B-_MxxG0Z}PVV%SHv`%-ZY31sN13@j-lMg`{qChdt()S6r`=*$(Cc
zG;RZ8?3WlW(It2Engq%1N5mb~4J-XEIR`9E(*HfwtkPurUqEwM^~p19fTMFY4>npX
zO<*t_6$?^1vS(&=bfdpPE>WY2&oSl+kK)D<_t@M+uQzi%T6SF?-Gtqb<SSR(3Zodu
zM}OKF`G2J%wLIIM3~VB6`)Irsd&<@5nJF6@nEb!T%ueA!)R9@~zL54}pcF8?gw%vU
zbP#86u?~(v9q}Sru+Yhlig`He?VrT5G_(p5B|qcAIT*hUDhXurQ?7ND4NN2#Y4Vh_
zR4Ye5%J92Mk#Z7k$;8#+#}rMxvD}kytFxwFr<D5&wgZv6cKKe2BJP?QPoE?FP`N4E
zqTt`kim@{lY94o{0n&8rp3_fu6fpC15C3z2Vx-90;gcignQ+4Rky;d!YphD9OHE=W
zn3<_-zK9Bun<$UmkMm^oPXJ}4J~$coRM%kSO%JL{h0{+-dYgEUS5V6mbxu3abg)Qz
z(kRykMlv*#f*Z2u|9~^TKHK47oWi2OzTMj=A3LS@J&7v#M!$2~(Q=>g?O4N5bY1d|
z{{%L8%tEtBbhG@LHj9<z1muJp2MPKWY9F)El}^R(0zJEW3s4WZqTlwy(^CSuX75;A
zubqD^1v{PaKlL7WM;&+V7$>z;tkXLli`J5wJ9V-Xe(d^DPG7n4U6l>~3EiLYw)DZ-
zsOfusYNr#O-6bw$^VHTWzq?X1_okhJ((~hm&qeowFU}{_wkc!6r%I&+M}16MzqW%y
zsy~+<4;G7+QfL<$7JZbBzsGCG53iWglq?TtMqS?bh<y%O=v7ilRQ!~HO;l8kgNq{B
z(Ee|7=_~N(49zo+Z)h>zo0Clq`hB<F*^wUyCS(%xO+I^&HvZ+K;H%h5=f>!B*()AB
z;8?`0H0qPoJvb}AUESF-RY)SOEX_3JFkQ%CagnLYU_ScoN0Zb*4Ci0=YD602v!JG_
z(jjHH7VPiw+p#s`^!HnV!RH;B&n@dh(1SJ=6{8X`6Wy`ivVstIQY2mp>pZvy?xZD*
zlS@~6cW-Vw#mC3*O|>itwcZl>2(*?c??Y&yFj)y?q>7kkPIFKzX|6Z~KFD(|TB(_f
zHIRjl24Z$oB%I9_wr1L_MVS{8l`Uo*aw-B_qLSuhoHJ$~5c;6E@BT=ZZj?Drg6m}#
zk!(_$X>0y2+U6bebjWm!oem2^>Z7O}#Y*GpoENs5<%o`YgBnJ7BmU-|=tiW+cFj(9
zSzvBO2lNNoR_NqpH8qIbv-pXSvg-R{A93ce9lj~0#H<xtVsZd2+kp8ZfSpzWbcs*f
zpLwC?wKw$^M-<bt!1dZKW#EvAM%sz6s$4tYr)T_BYI6sWe?}nbWGnF1(o&9m)x>%N
zOo)(ho_<YeTwP*(dymupkgog%?I+DwHuR37B`WkhEs~bX7&-A9oet)$uAT0I0S4@Z
z_XHEa6>VNhn3Gek9JYlmTgb*q!8wevXQ-~yz>Iz!)_?m4_e4I*%vbNMKaD|aQ+b{q
z^xt^govnpAHjqQiEA?|MM9ALsXcBxPASse$y#3WY%sC~5pIPAymgROE9*+VeizARj
z0S&{i#>EYOz@ygUeGG@3uXkE)MEr=)x-Uy39+xU_n1gnfKJfVoqGD^YBo5*?C}s}x
zBUGk(Zq3hnL7yenG+P8(5WRRSxFB8S^rZU7?qmS+Wu@k~mk5RY1jbcuslN9w3N?W+
z;o$2c_TJY>YOW5Vv3LTmjs9BiHy*r>OSFW^FBu%gW51f;S!3#r#)$s48LJDVrO>Sz
zFoIK5B2nPoH*dQrY1&j>pSyeparXHT8JDg(mkFDhpQ7V6!}$n90Y_2)9nc<?#=**Z
z6iE9`u<B3;+;%U>Z_1Fel5-)2TRqvFST=w4XWT;>G##>9?zXK1F#@^9+k_Z={JV6^
zBMr5GxA&*qa3%M7w~QBcv?X7X$%=(~%tzGcR?WMv@SWY~wqEn7hgcxedAQdbz91&G
zz9iftiR0|EA_Cv-C2urvF>P(9B%2Fy^Hf#a|GuoQ_cLxE31P^s1FbgioncnLokER#
zZGx_OkJDqE8aP%LKcU7Qp?c)cs>=@?T!54zMVA3z0qTDRuKV3owB|>Zpf9~Iiuwz8
zoZ+cKJ#7xM7u)a)o@48gMJjIF{Oc@VYkH?gX3@1bupP7VY}4Hfb|cka*cAI^#^3K!
ztlwQB;Z(NUy^xx@Pje?UeyVgldExZ%Vc(VNQ{MQ0P7K|M-B|a!GcL^qXArPOPgdP<
z5iqYEA<lG`m1LY<WeXywmD7FJ7uGu|%%zTr`iQ%wiO*aq&<|1}iBj)ZYWg(Z%8ac-
za9Zk?6AYFcOzBrpBvK&<zh|k<Qj`W+I6I!ajeh(6gU;{X$5YlU*!YEd-T8=ow&tL8
zH4z}?g}*EYgvuwbi%qnV=ig$JaQZ}vEMz(?4eK>2M&a@CyO?=n;ZwE55v8YdhpfQL
z$LJRhfzi?vwL|dk0&P1?ZNKdWIOYJCJtVhRkdScgtag!^K_xyOmTZhViu_nw<S^_@
z1%hm@rfjwOLMH8>2zuVQEf0#vvSEVV^Y#}f9}YUiemmlmbtiO0l*H4q;X1Zho)(W&
zsQkzIN#aLW^T4maRID?e0I(I9unp+kBnosQrs~!Ef#&ZTAjTX6?8y%>2^t|dv9V5S
zmycQzFLpbbX^Zfq&50kew>7jJ8TYfUNCC<P;zVAMSty5*IeR2UzTc_hkQ@`08Uy;O
zZZ4rg<y=f{rprl5dF<1`^?EacTc-0Dco|X+{Q0FyY#7-ubw6${Z<`v~`1bp3{7W$!
z4@OHad&N+8^WDqQGX$PT>6k;U`_|R}cp?>m1dVxOTE~x{fP05^@gux<L8SH>fq?xO
z-yoGWF4UGo{w#eEg(UL~s|B(41i?`+PxeJNCZ-%VS?|3N2;45}>Vs`AnBUukx`WB4
zK(*8v;R&r`l+}Rf@gSJw;|OAH3w(uKn6f#vr^rb}+S=B}A=3bpw@`HW;x}pVhK1`w
zNY?ZHX{$PeZ8|;DSo*<Q0&nX>8#0lCa+c9Tqyp@jtY3ZdMK_#T4E2j!pU1x&^bF7=
z-vlbY{@Ag#J#xN1DBb^W3|AzPz0$)z4(Ej(SsMC$lIh~`olJ_GO}A*q2S=>z?7k}?
zh88_@)cO7U_ej96QSOPBSOEhksFzu6pO}UFsFH~zdL(ifJ$DE+2YmJ-fnm@H-AVz3
zl1BcZ1Mz(KYEJEh>+ufCZxaY1+7x@(1EXJvkHfA%h~n_TA+A0U9(^I|0gm)Kh{#1Z
zZ*G<k+U!Jtf<#Nf?}uDvStkL%O1{4*`E@;J^9!-H)JBp)E(1kc3t+pgRCzp8jzUga
zA~f!QDrd1pm_B3BCimn@6TBf0BY9l0?akE2#?6o*?IyGNtEFK-AN}6Pa>!bI^GT@>
zmD3Q43kW{G`nh2Q%xCrX_=&-(yRF*3kK9(Bpnk>Z%8$6z`C0EyHb<oIp!LZ#%eDPh
z*aFJ6HMl%l?WDT{TcsbVy7Y8XdD6;%!Z)D!u2^&&Xp>Ocx)px0Y5Rv5apU%~k;vkB
zxRz8J%c3QqEvi2t>~zNvo~!S&x4x3dpi9<M7b@MH-WG%*^oPIkVH^~@-`9+9YF%wJ
z_Oix6PyeVXfURffT*gPkzg*lvYLHpEB&9)hvc9!+r(2Q$09cpm4z!T2C<5YYl9b$Z
zxptYWI4eaaMrY+Jm&tFw%U0hezI<%(c=_~edQ5Zr2aui;{91W4Ond=EVV5(d2_K_>
zILv=`h<&!Mq|iAVKPqHs_75{V`_mKWSVxBoa19*|J0vlnJxauM=9w6!*k&;<i*j?v
z4HX55n!c-@YjVgWAD4N;WBzPQCr93#dbCiwASgXO4jDu=TWr;`p%6iPgK#qaJ>tx(
zLc<oIG9fT2q0}bx%8PDQ|98h0F<ky%tFPL;hYKiaFf6mH;3^c2ZPZ@P<>7W2L|2@m
zn`T1TMA|qXY?J(`sUeU$KPEu_fPJt=v6|9aUvrtEkd=WWL<=cIV_*6KF&oxWyn-?A
z_Sy>4d%<_1_}-W^&4|hNaQ3cY8SYN+zq?<6>KfA1pvCw1Eh(L2$NtE78^)cy=jf^*
zY8pQRUczjBJ{!&VL1%r}?go!*v#Zzav}Z15AqhBBh8+esE%an%Z}`%`{m{S=g?x{a
zG4baQ+b6VN2MIB?0cj}wt`sSS{na*}xRbgMbN_DvI&4r!MhqMn(Q*XjNNh|Hp8&!r
zIg&9M09l5yb;{M9I~!_LYTb?erZM41JA8rb7?GLY<$LD36+~%*`nTNN8M&P3rUmSq
zp?xg=7)><XeCzey>^lnuT+Jl;ey}Y3{u+~5B*hTw{$IXCX;wiJXxUV2=d+P>g(i-q
zfB_Lwd4tRDmSW56X@#g280d*kgH=AwAH-<!#Dv!#CJl)C91aibs#WNZKetR1DwiuB
zw7~&CWZFWK0VED8fw9Q$wj-9%6NvM319=f25aq6uV5}`2N!h_K<Ny>ybpBWo$6?eC
zjk3tOs1I*z=g5ECH8Ju!bS+%}MD@HN<9*wi@_~KZ5PQ~X@-!p9N}Kx{F9hy{?q6eF
zud2Ss;G5JT6jYlO`bSgck4Myy1ju=Vh{&?i5d>`msvgHr3$@Yn>o8d$SgS_JLj4r5
z3P5c&y3rgwU`58gh%9_bHbvt&Ai0UEu*0S1Frp13dv=k-Vvr#|rJe+W+(zE}Ng({&
zV+5?K->-2wpuka&*Kg<uGtMw9G(MC(IBcMm77-6r-*-zh+*ohso4tj|6oyZXyME>0
zSZ^8Sf6=>ub=#qr@*YWxML4`bJi`YU{^kx!U8B+`H!94Bzx;25?f)r7UGc7r?@&(X
zC0>8lruNW}C-vkiuXlj)EZ=dU-r~k-dcxe4L-ng2I|3Nr10a2l%*mq)DK*~G>6+<u
zeRJ-&JrTv;H`a$Tfrun4m+=-AOaWE-z~1Tu<YL{5gV1AkVX)3g|A~Fv02XU8!<rZT
zAcI+0d?8^a&e7!AK(~*9zHP6wKWIP<wi45dA8m2go1OEulW7oE4M3U^5U`<!BnBrK
z{Tx`BnU@XBlMUAn$T-d(2lkgtK6n-6AETl>QR)3mG~-1Z?e-Am2SHELyDZ}$PCtIv
zQoyKRtX%)z`TPX}xOLy{8xs4X4`nDc`Wic|wjl}onX0yq>a@Fc9)kZR-&8I%Io`6n
zfMSAOXza$+wZ@kNZh(aW(KWaI?$#UMx;?B6OM+iyLdyDt)U8|Y+A$?(kkfZpM>%?`
zM$RhVXp*dXe^SHt<i^2*B>alNEXC)9DeL^j1Y4^-xOwG4ZqzxuI?|1td97NZ>7JmY
zej5<0nZ2<Z0$dk#Zv#0D6J&hzpH<U*Z-bJB{(I{8>$*zwf6x5BK?%9w{EY2RdID)=
zB@q2HbL6Oojf?0VnF%WPo}2dxhen7VydpAQ)AzXZwB6xNj1;FN#^yq?^VQj&pCTcd
z{BoE}v6=hTfOYQxZ1Y&K>}>~Wc+L#>SfQcPKlUE<fhVM;O_WxpWG(%&ndx4gjmnl;
zNs)UH<tXT2rB`WR@o%aYR)-ZdX5W-!M01QymbzS7;qd-`KsLs=+DL`)pBXm0o>Yk~
zqL@QMW8g2ACGp=N+*l@MO-j1)a)Ut&$u&FW5X&%#R1Gu^tiCAysFVo=kX^!K<1@1Z
zjtg7P73NhB?e_+*{RL_w%g1~ddWgN6Z!6cWMj3_}?sl)b#p@Sp8{`AYo1hkuORn+P
zYM#t=sNbKz2GD+1fUHO@y{FxN{M6JGP#xH64(T%wW$AnZhBQo&BhT&m0aXs!+EjDA
z*m-S2olT|>IK>mYV2~cjdFqVv#|3s47SA7~m<TnWfhUnDH1c&Q>P3M3EAYZ@A<O!m
z^kbCzkN6~s16|05`rnB&mMoqBftdO2Z3?eqnTe9E10;9pzFzQ+b<?VQA?4D(O2?lC
zUH@6;S$MfAtQy;Aytwj#S246d>ayTfJ5gp{AJh?_b>isD1<<`34l+1I>nA|hqaCPc
z0~WB|H8BovuMPt`r?Ir(YP=RP9%y?(m4V;JlU*QM3g2NTLw1ehioec`+7>^5`BI-?
zV{Z9P6CYDk&nL~!Lx3r<#<j}EFKh`CDTa?IQ!|Hit)8ufOA{A)OozdB<AYkvwlRge
zv4H0A*uJ>96r^(Nw7x!OyAz|Ui52LUx8+JhrQC1#b}_7;q*plQ{0nc)!bQqEd5dzl
zkBbd=(CcGZSexJ!eaBpPcUGLVQ3Xd%g8R#@ie1`oN6NiIfcAU`;(DLPJ|Kc72h9Bj
zz9DQqfQYOUzy1sBmn=QfY9~l<ii?Yvr@}$Ms>Y*%-+cjAQJ3LZumpMZ?OmXDz;XQe
z67SmKD5~D$^xL;@At<RhyK}Xqr>&ERPEI0#giqyvQpC3uZEzX+0IzG6L6jsLl+AB<
zV8Ooav3tjyfWh*UdIzJaNFcvd=}5F^d8E$vo6BiZ7qprRucl^}Fs(|iN1N2srykWZ
zZrevvsQv?73~ApyCC_JkT2zbNKKCwUMCAtj+Q!M6hHYr_d{*|xb59B5D2nqyvHKlg
z7Xw1)_`owU%RsTTM6=q^SO=<ojqja40#(r*fRS$+Z&1%4^k4^^u+Zd_GgC1_tt<X$
z|LkyfnU}rf7!V!117DeO=hlNL6zJ1FwmqtoL{FToO`Oay*J{;x-LBp$bmWTVxOtOr
zwgHL;#yaSU<oR_0qyItPdq*|7cHg3?+p=XV76he=hTf!iP!upAAiaYMgbq?e4=Tu(
zs-YRGKmd^vks3m?&_j`GfPhjBB}fer%6X#O@7uq7&lu;Pzc0hVU_?Tm_kEwT)|_*#
z`BxV|la}C(9wr)@;Qs!D;t=6zy~Pg_zw7)T<1{K}W{G8|%C_VfzUS+bv>kncg>rv^
zn$K@7z?rL0pG=*N6O-FVGJhpLkNyv2X_=InA$(FW!v;ZCz14Xs*tT^cOw=Z7;oPrg
zJC!4U^)8TQ-gX3KLE5#+aj1~{0nrf~G~*1qaa>=+9+lGg9)GP|1r$ZoavNY2ho}jv
zMiGNSHt!+%Fj-LT;NHh8?BR6K$7W5$>;eXXjO~})hZZlXeZYOus>U(o>)u<F=p`gk
z#+IIKjr}DpaWpodZY0U%Xi5iw8d**iOQjtDDE8pu=k~h_PX$x=zx^Wk+KimU`a)XC
z3*YBY2*w3C=Qn>7RXGBi(Sq9_u0au}$SO1B>cdllr@aso*JD-^n5VAbT^X(?+q-nz
z6b;s<cFoR>DM_Yv$<Vr;cr#B0+9lw!H+i`}RZl$?-R^i?;C4Hz0T+#5&BQUSa$uh$
zN-pznM*eZGRlwe{a#bVm2;e|IjsX|Z>eW`#dAXV?j<So-zA6WN=lN>EOdXnus9bG)
z|4+PCdM@t|&G*K^5SNPd=h2=2@XbD3vLFh(<ZmIiY0H|?XpLbQa;`it*i~=0pCwuT
zET;pm2JWa*(?o3$*c2yf^lL1N26axKK20Wmm+G*eY{q%KLR>TdQ5|&qhyI^MhGpF%
zLi|V6mWeMj{`7uSXU@!*6qb_%FSCDgDf|yz`5)h}$#juUPIw)69sSdy%6723ZbSyQ
zeb`wn;-b=rY7`p--&noC?|>a>3Fbf!Yjc!*)E&T-LCMQ1p}Sk`(;IP(v~UQ&x<|`*
zL28E?SlEdCsi@lyh0ENt0IH6FyfuKH?LN8QjCZ$KVp-S-^vM0}-$pFxlib?}C}@Py
z)8qum=YpdqnN6`z60(DdXtQfb@gc$!H{u~69S~MnAuHcTDt?mcJTfLUQ(Se8tKBAA
zOFlL{EU7c##F%SS`9uUNVe5lX!!?F3m^C3SFM$38{6PhtxAjQElqfEI`AJ>VK+f+{
zP3b&IZ4c2T%_(x|YirChj)t=at$+XAJ36ZHoeV$1i7_tXv?hIlK*x{NwGjDJI+y7}
z9g_NEfY08*X-?%`wXjEz9=Rkywx8n~KjN)J0Nl)LA`fUDUo4e5EG5lMC`nTSs6Z+$
z^rGVhyJDX(9Ges7IK=?$)O&H<Hn(GQB1Pg*V1t>VK1ikzyWUCIuH>AQ$^0`c0sY0K
z!i(<``78^4(_w%7P2z*IQt<Tlm8GVqOq&UUPyQY50-2vTh^;+*Dezh<28fmLfX>dm
zY{Tf*0~9G#V+%`R?f#%JkHZKL7~);<0gyQ|M4lO+CR4ZpmtA7)0=P8?t-L;uLs_`}
zodpkCvzl4w;aRfiA!}>JQ`1~zX9ldkC3R@n{NTFeoUl6=11#a3D<QL5hfbC_(tMe*
zGAX*`k}8sON~_2>dL{dB(ioR^bQS&fMU3D5kkM@YqipX?**KK~XU>BZDFSE0Z}eX}
zUJ9^~kIE*?+-a_x(hvLPX7`FF%kD>>X5Tqhw7#4qsQ)4MiH*b@&sq+=G@?$>-GL#o
z6M&3O-uvbdd!aw-h#wSZ2Wz<a509Hx!0r(|)r>r1Oua=IBIg`_Y!m8qJz@ent$Amj
zecYkD@t>sZ@4t)ZTS6LH6nBH*M>;LUr&kjPnPFn^?~BS*(<Aco_wRGeI%MN8{z_pE
z0ry-U^=FeO>*$>5M@srjF7oXx%F8B9DK+gj*STSXf3J-fmF!zY@p7}Cktdc1A^cZN
zl39-<nyw&jd{X4U5B*bs-M=th^d*yokQ=bx;#ieteg$^DPWc?ajqA1?Ot9>}7u8;G
zuR#24^nc*&zDdPjlZkb3cx?3-C2CJ#LUx@~w0Ws>=H|g+rk`=r3n@bIri^>=a_W=d
zu6mH2CxAoI0blr_dD78Jsdte6{k7!qa<Xai>>#%5Xz(oKP_-~-#ES9Ucj9B+tjC23
zy||+mV~y+Z0@1>+8K@7V{Aa|joDB+ZWti~#lWZk&^LPAWrwyxHw;z2|7wj<n##Wiy
zWe~UXBC2hs6!EqH5cTZax<+^X57n+J=i5ZI?V^?I!cVTRe}g{m>iK|YOcd-PVO-d)
z{B^?#POdwU#JLsC<HjVqb8X^|GTDQl(qikD-D6~vccx#QzHD79b3;Vt_s34BSNSFd
z%tXtZ5D%~(PAh&`M^{h~TEZ2cbu9Em+t}WtGaozvRUJy+)}i&Jb^!-*qbG&)xHUb#
zmYQ{_F$hRQ8}A+2AOU*(022Q2%ongNl?Hu%bX-Rfq@7yRNkKNYPNYuRS*~^q2;|T8
zb>TnZ!!(JZ`)z}|!7%KlV)%mhQ&R_qaQ*SX?7^_v!{K49raquu8cxik(xPKuYGP*q
zczd!Y3qoZnzY5ZT*h*`eCSC&?A-?cy&M+Vp0f3ls(J+ee8i%N|#!P?-A3RP_FEI`>
zDKwM^_@7Sy`VtVHC;|0h3M!-pzh7ruM1%tg+$we!P`tW@fP53>3dbClIW(uJE**Q?
z?-c&2A4yPF9m(jDX*TX%?On1trNyj%74v0ju?7Ej=&;=qw;MB4&(NV!OuJz4+HGbn
z14XT}iq|7j4eitZcWVR}@_yPF(q<AN5zsK3)TS`h5^zo3TSr<U42uS<u+$8is4k&N
zLq;ABj0+QRh;#m~Fj&4H*diJ4+1c40s=<M+jt))>YTUop7j=~*4))XVu55fLf@m$(
z!*$(!`e>iZmdVot@39{_#K+v+K+EAb`Z)k5R<UvIiT)+zxy-7yCh0?}Z5DDu-AVbT
zBgZ7_wm8YRgv0~*%+}bh2;Th-iT&*=4^9@$VfW*4v2k(AZ-Wt)=6g!3ey2DI08`jJ
zr30*LpFN;{j0QSCfZ1BPj*H34Zmk;eic?u7s9Qi)Q1niSb@Z!m8~rz<AOvI`;0@F{
z2sdBSHG0z%y`P`S-8&>&V)%D`u`_&ot@%0g57Rmh+i?RKx0|@52E3QGRxWb6O?@V&
zb#dy~2+sW{NCe~hzoni>EV;sm<H5}J$$M@popJr(Yj&?t$jHqHi5;dUoI}+|bT#h^
zOy$-2sy2j;s1L;o?MJbkiJHQ5@m~PjESmpL)~C@f#j)5+<V|0m)+4Pd-s`I4uPv?q
zv$?gwY@2Y=OFbAdGG7>~J}6eqq0mr3M#w#-bEc9>l^VD*7i7%(kak?jc)15WT4V`!
zsPQ~VeE*8~&mq0$DjOiFS!Fu;oYGu*<&E!Z#E@}?{sj-u=LSNF#)}k251IS!C$p5F
zRhtK7S-sqB|JX8}jqv*BVO%Qxd+~zQ@)F4HkL=Ll7oXA8z%q1WArz3>)HaTD*jk!!
zJb-mQSmOr8d7tIgQ*wv@GIAZ>r^fvFb1dk@pT>nBk~5x9BkUEKZn)om3u!-M11~1Z
zw@!Bg_4bzb=otwR>+Uc1Kb$uUzJI!piNk<GDh%amt+ouuB^4$9E7zW#n}Z9v7dXiS
zN>)MvJMGjHIH!x89*rI~OLntxOUEsnj{yXpY_+`mj{l;}={h;QNHF`B*vBWfKzlr1
z;xNKTS5>ogI#09Va;iohp{>Z%1hv1YY5j`$A^PaR-(nt}XAD-=afHUXXICF3WLa(8
zq<^uNt()~Lz$<;QnK>bE7jA-)YYWMxH?<N=b^3(A_Tl34cE+sp)Yw#AL3{j4>+-=+
zUR{G=5-Q^~K+xyk*e8-3-qvK;n=!w2zF0TVB{Q)Lu=r1sy$-PI!|}qL691MU=Q!|r
z_<v;GJS0<Gu?*}D7L@{4AtgiDH<}Two5T1?kFV__x<W4_6zwX*OmM3L#5~n!bsFv*
zc=NpT?}RX*S^VP$Bb6gx<+wb2UZ%A_u@V$`LiAk2tZsc9wnXDD{MKc9Nv*XtRa$gb
z)w^sQDDLj8Y-{<erFB{gek5W&9p<8oW|A8J80|>+P?lntSq!2(TE~1H<hobFT_jl?
zgx^*nCAEj^uM7e18&o22KBUCss2Ttv1oBh$cX_rPKohff-F_wD#J3#LoLREU5gI+L
zWwWEt#Kgq-qjaWa)Y@ZwN0JQo=Q6K9F+Qq!kF)&qPk0EXlTa3XNpB(7M;;4BkU8oq
z!zxFCR115q*sRGdU}O1CLl_GO7ZZB`Z{wQ2|Fi=0T9w-Gg<?75xAb~-gc-BHw29av
z53>Fc2_$L-eIXc_c~0E9+I7Sldk^m#*xnx})#4ji_R{FY{hJ48Kt-VnfIu4<wy=P{
zC;*xJ9)JlafT!v8?X8t5>R8ApJlUHvN;f+@3+tXTmY!EZ5fD~Rt-0~afx|#0Uzzfi
zMMUF~)e+9}FLg)g)eHZ!BHmr<$hD+A_*_m0B^3uVHx*f3lX=pmeRIO^JLzMA?#!d*
z-M^A6vvHy-p;+T1u!0{n0HrM&j(En~irC8;ue|*)F^mAHmAI9B+#Zm?4TCLtPPJ0u
zZ)M$c4;BA^%}75B`U7BP9~Mh&^epQ^nAL9j5{I_?8b2V151AsrhFFw2^A?QqRzxFw
zTn79t92kUzt`|M(>A7cB?>~D@CBoh<m`k<%QIg<Yfw_=C+hepmd%H>_hnlte>04IK
zmW+tkzacSl<H3HRd5QFq^;+twrW6yFl>b9cnT4IXGCx77fB&I%Y%l8p^fDwM%wp-o
z8!N42EQzacth`tEYq|;dF_+feJ{DxYpIuX~9U{`toCCU|qElw6k=QCby{gG??rVyl
zE6=Mloxy%GcE1eyN71_a!BYZvyou;x<@=nPcIZJ&R^3JB`>-IocS1P6wax(W!5ZpY
z3e`UXRnHY$zSrdb>q+;8z?szhT<?i1euB#{I!~5lblSUio__m>&CAI1x-%E*GeAIg
zB<ZveB;Ylx?O7(ALc8wjr)>8K+^XvD1qLKmaVX&`h(D)bFm@k=5cXf)n!m)m`RoVQ
zE1QB0uUL|T+(z`_d7=bt0<!C8r7i%LgdW!3h&I&3hdsaUz?o?ufEeo&urXeK{aB;8
z>~4jD=?vS<N!QV5M!41M{`WcZb>Hs_Rap4rqe2_vrfdLJ+cf<hfx8VCdMEPVt-D_i
zXmCv)1wCQ~#Tl71)Oe7!9e+;uf0y6|WmaG58IBD?G`W8{h?mB>9P(F!J=GX{FL2?6
znr36)VaMpeYPzQm!n;0gIL!`LT3G6aIP2qcpMxu(mVHi=Pa$?ac3vv(>Wb`kMY*O2
z{x@ex%qK17={t=P83q?NLaN8SIvwIUlvo0Tf{qjS+`mo%fb63ndm5xYC~UY!0jvi0
zrsZO<)XyMY8~OGzvhl>VYu6sSAt9Vz6!=R*5d(+f)^sygL9W`w@9jd+{zy(^rv5dd
z_Z>5Jn$?3J${8_+YeRoM%$Ff+s{UC^1zG`VmFTpY`oNofaSBvZ51F!AMGkg0Hh7Pw
z%-YgtQLA+71v!=f-cSR1T8ifHzf}U%iM^M92m(2f1{kcw*Z!tVpvP#mOA;L|a0=8d
zGz?Vfl`K~Qq&P_EA~^%5U&u6HoIpX^m4M7!{oemmbc`+a1Rd}^PTVi{PZesgE;P&p
z8vnCRcz1So_7J;|9!-Ob_EhWp?;B3|SQP%1LF^?a9IvDU(G1Kq@5tDyZ~r@=F8&fY
zeP-3ltfI8csS=p72lg)}S@zX@HvkdNs*dlxXXg!0ZZG4kd08#w)$n`g{JSmxf19^?
zj?=hnI)NUC(`J+Q8_bc<L+GYb*gA{_ZUW(Mq{#ER?SM0B2Z%5)q-bbzUcf@c^I}Dr
zd!v4n5(Pi7{Ei~`mSD=t(56$0T{npr%f8=o6q9Q>>S#H}$}ETYeM3tPZ#GtE%zsFh
zYPC!GZhq_5Pz4TOx}fZwxtDmp>hW>pAIpTtK%2_Ca3<;v@#SIe@2@B6y}#@Vt*@7L
zj0Dh`E*rl#ULo;2g6chZnenKSiX>7!IE?o+Vkc*;wCyPRAFg~_)2H=d+--a(t`%+D
z<>^vU%y<_2M-1z{iU*U*$)TG~OhrB=V}~*_(n%lg7aXj6U1Fi{b-$5!5~N=*dpHLL
z5{LE&Be}mMyIoT_)fFH#tK@eo-!{2Ef>&h&&b*wgCL;7(kZh8pu90H$-5;Dj*wD`T
z2@b^9<*fQ}X6`HRK9z=eNPgh68@|W2{KVy$*kcVvt!x6HfPd^<g~Mx~N$G^+wN^?2
zX%S@QV84@T@=4Xce3(_7XiIP@;ZhwT3{U))m^Lw!Fva;GsiFHyTGBu9(F?&Z-DGjm
zQDY^_b&#|aB7T^3Eu}zJNe2$g<f$q7PK5&m#v6t%<Je_XsDh?yoI6QUef#b@eHzOM
z&+Va@BgL1s4=*0}?eweu5hOgCEbLb4Gipy6bf;Qm_8+UwyB_-bdhyDULnqzo|45d7
zp4V%4e)YSW&I8^md#FU89A$%Qs~%U3Z$k=q#T55YH&_<Z<%Y3ysZ$b^7!jg3XY(a9
z3!Gv?lHEHyO--IW$)q^Wgb^NrqZZLV@7h?K-)$Nt(dTE#^7vvBO6C()1vpi>6#Pt`
zm!Hea=gCqRrve4CE~X^4Ot&W{KD{b(pzZ6sTNx@VNkHcwO22Tjj_&7|V|p}I#qPzD
zA)|w<QNh4x;pP{220!DtUJP&_O=*ei;N`W~h`;S3W2nBR!yKSs(#g}QAE5fK<Ak+u
zX)=C#D(Q2*F$cyq`bvAfxPa^*0k^p+xO%o7AIAv;ZRIOXX4y^jKR?GDMKd|B<%=5U
zCk?&{&ff3li&6&q>)oz$w>qFDv6W5>iNsA@COJSd9#SySoh<;;9O$f3Yxj|}{yJD6
zs_^W-Uo)ZDx8%i$chaOw$)E2>N6?GM2rCZL3HF3%x%!mad3DTUH7vtt-6?<+E`&;y
zueEn8Lc68~zZ23<o`zoGHb5369cY_8WI*J!Ztla5WXZj?%YpI!x)pajyE7EZw}V6B
zjA|cYo8Lgq@tPNQ3?{+qNAUo5JQl#@qNk?nMb8{UE}@;xivobJfSaIeXvd6K%1eSt
z*W$u<@P4!coQ&@tY|)>qS+tVs&DUC$xs|fMhqCH}7hv5D659)N%f&THyW}Nd@@9*^
z7+0Hm9j4aRzHmvSA^zsCchV}{p9pnp8W^nFYM>o5k?QeA>Xc)cirmXbkHQaLxXi0Y
z;bc>;J!bwn=n6D|4I2{&9ANc8C2oT%BhfA(1Bckk3?c_u_HhbTEU9My(1ahvpd&Rj
zG}fq;WnBoUzjRdXbK4GXu<DBhsuTBw^<>yI7%%c5KtXKNB5G1lv7<D(!knwZOj@vV
z214*YP9BL-P<=jW`tJ5P!3q@*e{iRxDyvqPO>05gP~@fG<jdeULU|HVpExYv)n`7N
zDB)yKsR{47=opnmWrqA5Ywx?Aot@G|p9J&^KvO9=c=XJ8A+kFRPb@bA&}~@sZGbmL
z*Cb^^#%e5sABr4(6YVh$T6x%Ow|NHO?5GynJFmnECZ?t3qeJe&BgVc-7aYdCGm>6l
zd6X=^Wr&?`S#KUtG}M@QBfj+5%zh*ywH)?RXw=xPOTewhl0#i-sB`zT(jFt+voz=T
zq|{++T`m;~)t3?o1c-71(hsU{VKHjK+~?=vv3wLMl8ip{q1vT+akLsEL=u5U<v2Rz
zdRq>Oke4M0h`T&NFN{6>JBHk39hb0TdC)XSc@?4D8qd-a<fUVsqH2Ch%#6o?e=GkR
zHl8HH9;BXm$H*2rpfon)&b*La4;S4}_{03Tf#lD-^Y-FntHLzp9mBn))IMDmPt397
zE`|lyqM^0e+TdX}Pbzo)INm*Zy<p9)uB2os=ZwI?DT3=JNltY+VZ9vb{$hPJ7Vk+Q
z$oA&NtuS|fT+<H3OyVPkh#_spB`ivprZ|j_EwzYH%#4W6H%yFC`CL%~29kzRmHLLL
zH}BCM&3!s?X6qeC2h`)+d9~g>e|kAY2NgFl7$14DEc(Ku!=gV&>5!dhxKKHJ5YpXb
z+V>=F976Ke${Y}v0X<)94FyV)Are8w*6ApvuVgPuCI~kC9Ub{Hbg5k70U@~re1|pa
z%GbxB|DruiXXfpIoCqs3QzmCKuws;K(2m08Z7HILZi{d#?JH{EDK?s$FDO=$DV-0e
zXR?ect~C~(&os1(pX_ixkyOai*WqYQxvZ_D=_HU>==#nORmFwYKQVRVbI<qBlOInh
zpS*6M_w^`k%wL7jPBUrSqK!VW(inFP`}xOy2VdVZs=}{&Ta<#sx+gkE^AymT*ltYX
z7g5fKjFGjF!PpG`xTz;j=7r_?PPICHpUpkVq3!Elp!;q$+96rI6*Q`BxDu74U0DU<
znVal@%`-tNI@ErJiCOhgj1By&HBf899X@Y_6-s5v53Aeo21%VunRhBlUtZ|U$Y&b!
z7#NEWlH1Y6Ax8EP_Y*x#-nwy<B~g<dAzVq*NhIbzLzayFWiKp_@iA^uBQ?r8KZ~)I
zHIOlk>H4FeD?d5yQ9P#1vUU{h>uYO?y1O8M%T(M&L44$kQjq)SsPKcBqhjR=5kD+N
zWXwdniM;tK{gO+)iu83RHX$3fK*%90;#7&Mx9sy)4+hMMI(WsuYd!G9w?vi>{b@&7
z;}m(XvWnKzH4xy1KD%2hfjAjMALs<m>a&jhJBtCrUWI(E2Be1%I{eb?E}L$lmcG-K
zs`ITQb&^%@Ctb}>zU!-TGAihN!XG|=bl5p&GD*Nd>eh=oN#jfHg6*pM*kfrzZM(`c
zh%^quT8293kyl1{e?G9V8J+~|#T%H~hgLd8?<yOelu^f&ywC$*KZP})RedX48Z!@A
zg|#<vywC>)@oz4&vHcaH`fZrFXF%TH2U9MaV8BZ=5ZObH<PYca$=iQl)Sv!N=1ev$
zu3Q4l4FZ^<N#o}{lgGG2FurOY)ptgjKnvC0cW!`ceHDY(hVjNn&KT!)R2>EGecDcw
zCz%vcQAVlHE9V5(7V@7ln#_I)8H%}rIZoIzwXbkzY`^(3aot|G4?cfDR`}B7aJmBW
z>vVm4r+)f_h?})RkY-r!lmVlEnJbEbzyGFEcU5!j4T;2%!)M-WvIe}iR5E(zY<Nf$
zpuVSv`DBC*J5V7$nCs3UfD(<3TIzFD$Y-JrFBD*;xe^qcD7IznT&8GO*>*LzRAW<6
zdsX_;pz3!h`U==mn~x`4$8*uVJXBv-WsqmhkmHJi=Ky2YT!)=&pt6;jucU{ayqwj|
zhfeEG+XHs?@{wP8E%!N;q(jpx8trF`=u(}m6QYj%T<nsX;7|^1S)C6A#j?d2XJyPq
zOHYe3MK_*Rtx@j-RDEl(@-h$(QE*gIb-ndq_<`u)7hVVJdnJ$Lsxo_5qN8#<OX}-g
zm)LC!TqSg;XT1>a_59s6^78tq_IGaQ$?ts^|K9!-F4%3D@A#u5VjvNsFVCICgU;1$
z*E+ACT7zB=ye%?h8>FJ+$?VT`)&CG}Sl6|%Q*jD$Gi%#=P$D_>1)6gpDtc<`Bpg7;
zh)qWNwMx($;RteE-^BufIFN$zNKhAGvtKl?^jEs;RU7*%&wcQLeNGfa8QMEXo0;56
zNL;w%7F?`ddVbzi>DyH9f~22N-={wdONdHQcaTDVIK2_lJ;#rJcZNrmaXc@QvKMeQ
z^Xl8N|D3=qGUcP(?L-@EnYKN1=t-_%7(en_xf?Pu->GEN;!3N!Hz7~FlfPeCPvUY^
zTxXI1x`*BHqJt$<dw+$}y!qbWC4?Vu?ME~-^WXEfpwG90e`Brc23bP7{3yj)r>%Sb
zKCVj5R<D%Re;lS=e^|0D3^7Y?yh18LhT4>?KOv7{B|yo~>W=dwFY`!f_T4XJa+Uy7
z^jw#FkUG^vru@jDUc;%LviEnG=WJL|2lQAQ5rTQUZri%!iEpfdu9FIbPG^TY7%kX_
zIbzwGHKrSMIE<lshA30`Z0;@n+gBKz?3R`^1{+ph_n|*#1<aq*&Vw?3*ee{ZW+V)6
zeBW}<e?X@bfA&{I`D$hncv@;88!nS_RI}f@ZEk`&TyLf?L^{&^VCBc+Qb<Th+S>N6
z3TWVr!+?{2qr4i2gPNQ0F_xBYYys9QFdi)}5k%CV`64c|gn;^Z9vn#a7br$eOrh|i
zK|BeRJF~GIt&R6RXQgrIwY6G*Y7uvA#|1^Sl#3=TSs+S%TDnlOy+cWvyXgsIz}wgQ
zTN{$GzKf(-P2|<tZ}d(kt%4h0$Z*n&Np?o~qXy~MSAJ^&w(tM(>zH$d0x@r5yWM6D
zl?<!|alQ*f9*Yx=D)VIWIGJ1x-7yqN39=~(nUZZ#>oX#kx=K^kp`1l)*FJ))+Xlt5
z<APAybxz8LVsMS0@zxbC!=<e$0<FmpKW`rLK8VkJCi?bH&?2@wcWB7(j$S%n_?LuL
zfwYS%J-oa&_FP!YlaYCMhXw`&DqC$UQ!DtC$)z_>l3;mG#;~$UK0Ovo4m(f3z5=AQ
zsBUr9%J~IF?ReAMjpy@oDBoXXx2tm=zK6B_&$R$KnjmF;-ExjB14s#)II#j)pE?<d
zL{*iT3N=)YM|2_~SgXD#$WTWZLLw+gSGQ-JFUp!kwuzbA+6-2<>6ly75J%xPAR*qM
z5gs#8L8{aw%1INO>+6|Dm-+ks3TuaAM*>(m<K%IfWv&+Old@&5Rcs~m^3DrAh=HLJ
zgeIYiKJWXsSBj>s%dGRr<d&1#iY+p}{pK6Uvyk0exJXHTee#cjteU&LacY@&l<c_b
zh3}|&4C|WvCrb2wxcL5O8c|~R@EQm^N{!ye)rxUhjx@!D<+FeT02wtnS_fR<mS3R-
zb^6KGZ>r0^^5vulxkJ*lrC;*}WtUhZ+PsQ%@E6>d*m*0YsWmEVpVU${ABd({Cd{N)
zR;J98&$sd_MuiG76eU4i3^^<co+lH1F;E6*t)OY`Fy~(1RbV_CmK6Rg5R&ZB=EUB4
zp?tZzs#c6)C%_Alv?w<m9B6EbI8TSynBElRXti)PYW+@%!u1QK2?tS93w+j5r!>zE
zmtAGvsa@l&yaRhfR)&#p@Ja^y)c39Hd4~uo*3QMxeg8%$bmpivZK*pl_BTFvxwn=o
z9d9RfQ@!(<y4JIu&{;*_Ip>3p&8>d>kcI4AEfjxp%*H}~ylWv&PX9SCB2V|A<^3_9
z2yY8?*2w-9RH#Ul&m+r>C?EV2Vlkg}LHA%m#?#5f7Gqz|jk5D|+jaqc358-ov+dD0
zhf{fTjWSwYnu7`l3eRiEPzR><=t&b1rEv#kvbyw5lD`hN-h0E1j`j9aBPqAAl&`NF
zsBNCURSxq^{w9@!>_U-DNl!ccoB7_cd!mEuYYGQ!&D4?muWuB7v-I;k=uuytco=P6
z+*S+X=<?eqdHPu*27D&J^DLXMB{pwpd{fp4B8TVmoTvYmrYyCs&yJW4=42(l-ZaYP
zXiX4rM@kkI>KE`D<U^F~I5r~+zlZE_G3y;+V*Pc?=vbzcQZQxAuH<5c_7<B^7l?LW
z)6vhKRXN`$_u+wPn>D_2f;gego4r*yAwd1bQQbZ%X)|eU9d&Dw42OgStA;@04VRwS
zo&wJvyN-9Stxm$R3s?2TH#`)zZE^~|OlCsciRS}kA;U*X*NqWA6B)=4NM)CM5&y|4
z{+;L|_2G>YQ8^4?!64RLSwSynoOs++HHxr74$VUw_U(}y6tw$C-!QwR8GwwV1?(fI
z;f*)?dTz^qBikgbuYm5z2N~!VZMmSq>lQu_c9q;WPuq*L4peUbX)zeEm<YW;Sz(3R
zG-N+%%p#H0V!U1Uk=cpZq9J5)kmJ-7^%#E@RlV>+34W9$VwK!@+o^^}T*Zd0_fVxc
zrU4VVsr*V^8FBCEB<3+~y3xJj2IjyLX+3jr4LwO$7$*liyOL;1r<-*7efWWT_T3s^
zz(2>hu!1yq&y#IJlw^cF1}vFtL1H<qp|>tAffGw;SIq30oA6AP4*fqR$(c@ZYkp1#
zojK9e{ZBeEoDa(<40ycDd@-HoRc__H2F!sc*m-Tc&b8;Y-LZ1Xugg_vE4FIQ#P$+h
zbk8Uo+%ES@J9#5gcbsx}MNFx7j{e&VA}4)3dHZjUQL3C$1?AxHNs+hH|Lh!e=6yg=
zXQMeUQ9cf`PYnLcIw4rOv74w847}zPMMw-xBYq%W=+WG<GRi+y<L>Y8AMEdMI=I2P
zzOhj+A2)RtiU8T@CT59HK9@~!1Au@DsLzHdfi57a6O9PO6(~p{&m)0sdu<7+tSBz-
zm4>bsl57nKxRI?Okay5-H5`ymyiD1M$}zPndLr(2iQjI<*(9}e^Ern}`rflKP2}S-
z38Wo6@fosRS~SI*h1JT#swf`6@!VL%H}Ez?=Om{{yZ7O@mt%e<Hgv)TpyP%nR0hg&
ziG!oTdvnuLgu?s=G{)Xvz%+*LsgBB&%NQ~@S_&~`Nl+F+VG#o~u!bebs)T23uYYic
zqRk9<&_qsG%}=I*hWDWaRd2--dW?-n-Z~<Xt?~WHh^XP*{JTln$~$SJZ%U!fD`*hc
zd$QR%Cs5_{3{u*r#aRKLYF&8Bw-_bPZ#(l$%3BGoo8+x5Mc^6MU3Vmpt08pgm}36P
z9UbL7*&1=RThPI+)C0hTqS02!0pPMdRPO)UC(ca-3foNIf&M%3UaAAKhIeQjgg+`L
z!{LSPsUx0@4hKb(c$MlZqoRt?{+r@hbelKUAS*$waPp3s9%FmGfm7fkA!VU}oaZoZ
zl=vl+^cTF)?gaE~;yJQAi&Cu_S4iIlWv)|QzKe8{C;r(pdY$j|bq&toX8#@)g~I&S
z*u*x1^LN%NN2}aAyT-qaj^gzC?2(LWdY+q`z{)N<Kc$?o*zc{_9Wt0zoqi*3!%9)_
z$L(SBs*;;7JqnI`j6#KsF2emx&gApW3F6Uty~1mzOzcU5dh%A&UB@I)eRE9yO6V7H
zO1{~;$y&1{tNHoeG_??Ay6%hKKZCrc2Q@QO7U*>*Y_qQ|zN*7z*osck<=(w}zJ-S7
z!r(@k*2_u+H4$gXN<b5^(%ZYMk;oL?9JIQ<n+Dla17+r=p!mMdcDU5)ICmkKB~h|*
z9w|Owh{yewMmDw<_imn8W07=#*~3%N^q}u=a-mex$4l1?{L^x()&?s#d70D(<C=j}
zh;*xO-=x2$6VfQv{Vvbi+dfG_1}n{aZ5}ull^NnrcAC!9ua0G(_})Gs7O_s{np*zM
z5Xr;*4PeZFF#e3!?}>#^!%%zGvhQk-=6~gy^jd8q#m2{HF{>r9*digV^UWxN#NcEh
z#25O8)k3SxbaxE2LmAgET>pILgDn8FW@i~d^%&=yej!B-w$|hQ6{}vl{XQA!+{($Z
zJtS!c82q?Hdj>k^fLCC^BOIoratZYM@yL4l@@{H=UtWaZOlYBfd0}O>Zu(zQIk!Y8
zXJ+|U%%5LLsk72I_MFv=@JUcL#YnoDuv}qRX&_9MLHTcGLflT?AG;aYJ8knP>IXIO
z;lxU9*AYkAU&o(um4)&SZg#(+{}xJ1w|%{<_AFV2J#D*jA1myu@gsEVeQxb??-vv-
z>cZtV?HA){3+2^G?2(U=>nH@3a!Rx48@@OwP%fo&kez>?%p0BNl<MdB=;%1`r)dD!
zZ3aC6^bWnef&yZ9z(AKUKUiclO-3ZN+Z_XbDR8imsfey|n%QLNB4Ei{xl5$WQ;Gs_
zRH1;}JNL-(({->wrSNMG>@CCtQ+-5<o2dVL`t_zG4Br7ctA9dNpV60ZG*mNklHh8_
zeKbu#!?|aWv&;3QSNwElIiG-FH=9>pt0Jn-k}EOfozGnu4}TI>%%Dav+`o-;VvmSj
zJ>JXq>)95&l1+T8T2ahOm?H9U31TbZeCo@SJ)>VxAtCiI9a<9jPARuiavt@2n+%|0
zG4syxHm0JpKb{rxRepy;=UgAjgx~YD+_r!g8m106Q6NyJ^&LURla15lAP74^Rfmm5
zN2He!puw#*xcW@-^5w-ZWmC;Kzonh`_&or}-pszc<qJPZ#5IB%%6pERjAtoh-nxzG
zD$)jD)NFd@d%W^_)f(JT6>p~hq}7a9fR(*)I&ZW%hkZUw*~z6d;~~3tz2u9sZuf-2
z?Y=OSmiTtLFPCV_NaE969?p}{(N{uN1)Eznq3LpymUm7$I{kCq{_JjLja!dPYex~g
z(>0K_T`lP$_6%wsC&y5mUOxI0fl3n2*zC)iFAXZ)L%>zUq|D7@oGdL;P+jSVUxmcg
z81)-S-qMq7cpmwXLW(ZlBNtDWLY#neZ!1WRIJI`-xx#gC@646kKK;J}2fVp`fo~qd
zFRsfY$&mj?Z3psbfNb7tH%}hDpjJImUDw`cQ<r=(8E**4tX*5f=Mde57~1O1ROVm|
z(LbO>Ye3jhf+ln&Pk!#%Vcx@CoLJ~8yLU@Xs4<WF_+ep4T9>ktQlp!6nw6EP2ozb_
z@4W#lC&)z?NL)A>Axv(#fmA&)QOfK9qZ0R2G;4XXdf<%F%>*?&8gNhs4$y;3YM*gq
zdz|1xp91hYl6xsG=leESco))|m(;FS+mwp_&bxZeo@ChSE$v$p(2?I^B@hqii;|dM
z)Lb7E>4qFtlb&%({R{%>K=JL0qX#)Ewbab!_OsV>e<4T@yT!|GT%xB;N=R+tfnt#w
zytdey%}c$i<eI5C+LmIdUyZYYkd9YQPRcfX0EJr<SxQPDEb*>O>unQvcqE4F>Ul-~
zPKH1W(5boMK$h=)z0bngZDD!2u?24jLnuw`>J$m@m7ZfAv?B$>Ws2@#FGJtS>eL18
z-B1agzM>s7E5u)2=<S<xXS96pRpjlyMBNw%w_u-gU2TrCuL$OM-x!#MHRw*={0Zh=
zw<YeDG4ro>f!q989P6<ldf;2=j*sQs=eN%V`Aql7T!~Y;jsLfuS{r!d9xhTR;aacx
z7!lHV*JJ;?%j{o5_KlcqxFYdY1yfoYVTrsiNZ$8?200(Y+6Y3q!g~frtaaI1d&2J)
z!k?a*k2{lTbV4~-5RyuehHCcv+>q-gy$@+!np{FGaJlwveGgo)4C(MWIW(@EUCGKp
zyU#mz0ZG~%-2&aWQJ}>#8X~1zAg+0{AZVxN=)r@wrz!(as2$PCSHqtEqI)FM)7<y(
zQPQ~*mhxR$+L2fdbO4XC8-98g`E*>CGW}LTWjwoVb*zyyom|F~5HsR^pjIm7Ybz9m
z{&DQ+VEro;z@tYCc+L@bKiAqgNUv=^tc^|;TRGf)Bd_p`R@KdKlKt^^ya$>|0TwCT
z5>yHJ!3CqtkIPyGaTOC-ZwEg+yXlR=FS;V=CFaJhW?eR*Cx4Bug!#pyIftU?xhyTL
z>M$+qe+e+290j-`z$NMk+g)udOEAAz@*VKce++8~Yun_OeeP81m%hJ*HCQcowIKA2
zu0L;S8G57GFqB}I#BER(d2jU^KZSZ{C-B;VAi`&v!Ym;}7wap{2@iy5+Ymf+(H|YM
zPSf2xy^f>n4II+k`Sh4F^00l-ymGUzS-0Rc<rUfx!Dz#1f1!F<v_s@jITms0&$XA=
z-oH6WFU@E}ySn;Xq~94^^bvE)dp;(ufd@sOmd-r`@lgHhbxAR&hgzyLWyReI^fyvZ
zx)Z)Ink|vI#{>g<E?kAqd=fs7ntUCKx0_^A%g0-a6<R>}%VXj;+FyRD8-JE~%;cP%
z_ddd(yP#QiXl?J{We*n9_blss;qgWZ4O1nLWFPfhBW4Tbtb;oAa2mk{Y(tI8-WJ(+
z{nKz0JU^kF`f|$B!onz9>xxNNF~CDGxV3HtUD9!|u1C4|B2esOz+=t6dOUD}pBaK9
z*DlBdL)5Iq0WQ+cgR-p|mhBBKfmFf}2*#JY#;y4n#}~*4AkOQA(;^fU+mlNiNS{LV
zvR0reGLcksozTrJ5ak^;1&z)bVKz#b=BnU_j!xg#Z{IqS$`S;cMd`X6x(CfLYV15g
z%bmaCD~r6orANr^w&n18vAjT^iuHeWidC8~rIQ3eVDA>J^IyIem$Np?GcOkgr@j|f
zj=v}+3-jU-8`O;R_4RdH8mW{I-g>K<r{DDwI|3D`mb2~aSSq$PUop)h9e_w=<eh!A
zPP%M1D4!G=Da+K2k;Dx5uKDnU7}5`(1b7O6Li?g8g$R1e(~Qj~zJL^AfJm&bHy_*k
z-=arp*m_f;&?{Lzlp3l6AmzyTxwV5grb5ahG$_gBlcyqD(~|;sz5sW)L|$0vTqfcu
z<MaFf!kA7pTS0fi(3IP?wSfu9m5!1tLABl=@ILR4GTZU+^re7G#7XYx=LR3`#4ovx
z*KJQPxXA&JwPE1o?YsCzEH<v2Y91z>ott}eVHh(ET+d2YR#FY_Ru_}W?j>gB>bgoB
zi5)Y^Ss~NKJH%vC1%PA2>;aKj(xsD=l#bZn4k<D&sr^dB*vA(wjge9=Lzb0J{rM)z
zoim`yAg?twqet`e(9jU=#WX;z#)IOYomkjh`QNjdeR+>ImqtxE*x2gGWZd$&2&o#7
z6mKy&oI=w21?Xs0^W;R4PKg2_1|?8<jHW;uVPfFK3YbbBpxSjM`^<+?$P%b96@AW#
zUyLL-2x|9#04Wb=Ns0{(&RPyx4#ND!HFmLeWeKFO`cPX~)dbOF;+=hG5G?*LW%}wj
z`VT|Dp`_2K>D7VZ(R?43f<dD^jF7(dsn6r%4T1gn+A>wu)dy3cIY{H+VlY!qQPDyG
z@FAO*DPN9>iyI#WuRYk9A2e|tsUQu4hJJ3qeD*!Kyfa_|-~y*wVntb5Sp~t}cmbR9
zX3<`N2dyu1j<brh(9s#o?pV=X?_3~}w)J&&8Em%Q-U5zkKTuaU-Uj&ihIDn?bCXCU
z?CXMp)}X*Z<&j0pu<b8ZZWg5@CczB^tPlX%EV67u>h~JKuV$A5FCRB0C8Y*{Tpsi;
zS~59<AygaoplsazMCb?m``0YM|L*stG^~&GYlwPyTYve90Dy13wS2#TW;(hiakXD;
z6L>k9|F>j-?(Lm_s5RR27wBL7gZ9>R17#j3-SPy}NBcMWaG)|)ul&3j6g*^!JbjWC
zG87CVEI<=d-$_J_E#6`h2!ALWHw9PI^YJM6HhV1_$9V@iZG~(gfU$Pq$;s;?P>Q5N
zO2kR7T{lLx<&#`OxV8EhfslZWs_b?wU6bbZ#$Un$o%f8VXrB+h{>QkY{>eJ&=!5|C
z@{>8Bqq~Rt4b#xkbsFXq{-nLlQI_Ty;j713Z_ro7oktFJU{vD-<}>@V1nF^*`-!D>
zHGCv`JYSbU>eNt&AtAv)nuOqOPea+9uUzz8URol8S=Ez95QPRtpgXxys68MRhxWOF
zbLCrkR~a;UH`qMfd!KP{Z?DlEh7f>aE#0R;0$kSIcD}O(nN?0(-z}cI06!TgViFTI
zYbS_spoXFi>-5mbvQLQGiErnTrH;*G3#jctiE>uro^VNekcWpykaQaRLkfZ)ATc8l
zq9{oj%6xm?Y;lbF>ayI(m#d^h60CQl>t(uoSF^N!AtA+=X#$1WwQZsv<Eb<PO%%`r
zn&hN)xqcxw>hUqU0~wd%)Wms^N{Tv&qi&KzflSPUk15&;Ye_yQL4AV?QOfE;c+%J@
z*vzm{N$?nGWC<*1QM_HQxBDajCtV4qRuPz_wcJEU*sx~c>$`lr?@_bELb0-0-J9uI
zB_JVvAVGbOcHMY-0exd`kqU5ho21FF*L8JuDWLVx4v>k!U@|aq6fGQ9fGx|!H%!ju
z^6hvsss)(~QvzX)<70c};1+-b$%!W+K);V3zi0wJvYWP`VG>&0#2n3)l^wNEgxo^i
zLM7OAssIj0EB_HDWg7>2q*qxgr+hJ69KA{+&#$UOBYTwD>6+NS!w=Cp2!qQr@6(12
zDFAs&p4sSrESe#WunaIf(VCZlrU1D3#PjtZV4O)bHHCAfD2WzA2*-9~Q0Ch;41fJq
z%%7yG(Y4qEm_2y+c!T#`_hR<VNDeOwJvR}cF)HP~Y-#p|J>cw}b6~l6@o!LiRFBN$
zb;^LucwsAJzFNs8@1!p+FCUmmP?OP@3vs4GaXn+>!^72bG#u(Amt_OsxFYkbGfFXh
zj3={vDXc|B1?v~Oy6cn8G1anh2Q%#Ov6XF<X9+S0fLdDkMJgb~z$Z&xZPeAO1;^|J
z1J^DuR8){DdcrDZjG2GA*6q%ma=mhSEUZzcySr>qB}KCS!(U)|yb`0yHVkK&3;%~~
zWBBw00<<{6*xXy2C1;h2G<s}`>LU{&?QVn3GBo?dcgN<2B}+ob3i6zG3M$Es8$%Wa
zV|ywlCMxK1R=$C2r)0C3mcHl;rgSzIc9@KNC|U`1E5&|4(zSSMuvxT6WC+^#FUU&T
zdE)|YnHWdo`Vld*c^Jo}F^AO9`iL{2=>xejgMIiU7TozyuqxfYkKk!w3YN11y6@=d
z><>40hls@m)Jwx=t&3uf{XHyovb26}ae}vg>py1GK_z}_VucoRWMpK#_IXuMP>|?z
zpE5|qnFcFC7)Z?Qp>U`^qgv0Uy~@OGDT5+T3h3r#+x+13CUBY6^;R5UC{h_d1)jb2
z?YORY19SZk*r=$J5g+Ks_TtC(@+GyGZ5)+N_gTh{=X<+)L&eJtoYlQIE=YKBmhLNp
z%kd+ZcLmq0>8;O`sO1FLPIfpn_2tX&2^DI6Sxzljv9)wUwTBJXRA^-VJ5jBBuQ+~t
zQQA3USz^?2Gsw1{&A~aZhx_M77nbxMLbSAMaEYtgL)yV)dd{w~xw*M9Yl}LR6AI=|
z)MIwmlGSI2Z-Iw1*NoTc*7FBx^;}H2^9`*~W#QSf32>~m5Gk5FeL#cNSkr6yP{+}b
zQ&!3CgG)8Qiqh)KfM6>Z-ARMxCKX51QPlNq>mtk-QQ#+OhN)J75U<6zj*Ci(!X>B|
zpk5SIbBB7mM6@T~rP5Oz4nO$J=9aEUjvi1EE&4s=3$Nsn&Xo`p;in4Y5O~v1^+>}~
z<eAwGTm&kqD4N-Iv`V=D^=@k3U_3P#OYJdcZd{uYMFhBJQ)SGrb{8}&Zh}U5h|8o8
zXFdR7#?;vGYvs45LgQCS+Q=5rZ5_S@z=HxqemgT8n~5aUomm}dByn#Lpb3G&*;uU+
z%f0RNh8!cWtnI*}*>T_6R(BYAuys@fWKg{BHQ%0gQmIrGQ$9wHzVg<+SedbhAGxD5
zs1MlI%-z7xr(D(-xAz+Y-6YrQJ+UDozcQg>I$-8Ar!C40)u%kxhHc_w2K)E>6oi4e
zq`%WCwX_H{`c1hb3itE#lM!fyIc-cS>++CnfC@^&<X(~Er|k;U)`q)$b*6nDIBFNo
z$_cjVSNvD(;*sd)$vJSku0fP8srn0L^+X0MbAoKvrcVaMo)5tZMeTvWq1*F4bL$sM
zo>LcxM~lZ6oMAxNI8|g+G65#qBQPgpa~w_kTpYr!KnH}6Kt?ek;zy45Y{0u;)$T{h
zh2X4NyMjF|-T$*-fJ?=0Gj~d-_E5Ap<r!&4Qd?nmbbrvqX743>YOpmhpyVZRI=$WJ
zl0SU&1g}P?kZ)*L-+XI`auooWGthHdJC*?9Yf;^FOIA<UjrLpwXUE7`2nI#O0<VuA
z(diXWcPBf}FB20JCIU(O7_?xYWXKJXlui&|!MYZ?k=AMLb{wSTWds2=EkZgsND@rV
z2rBt~ap3ToZpPsk)!_%gCGi_3{EUtc>Urmk-)$CO3IjOwOoU;-uJ0qhs@q>j#Rd}#
zYmgDC{?9xFZ8}z+XF<p!$9%Go8+uM5#IX76*L&B>ZBig`1fm4PKmIRmiJZ!m{v0?1
zL&tRId@(`9Z9T@28+{DmxunhEY|5o3gUw@XRX{@qUZgY#`_c@j4lA3=u?!vu<hKpz
z=8bIe#*S5jE8kNA<N;}akD366eUJfZmqHGu5#Y4QwudPdhdbyG-id-uTQ6)#OHj6*
zeE<)wT<;1yPHR9lyf_BhJMcjE^n5pLqm!r)(nTvrZX>6s<v3Jp_I=!hBq`0`vr<Oq
z&i#zwnt-cBt3z>B&)I6{K)I-#l?cTa&<whOJLGQP1#sbO5vunSAT%P#0-P;mWjh$J
z=w&HT+dR^?o0<*Qo+S-1)<RA%AWye?2D@!If9q7u?Jg*n+XR921=ywscl~y^!gBh;
zmFuR5SbVxuak@4?=HV{&`Jm}L9B2}?^g%eY=Dbb_xN||(-=MxB2ZbFDs_&8~Z*bN<
z!-8rhDO+DkOuCMo!`Pn7;7rjm5MT(Y(jMG^t1XPo72f{;T4oZME1<;QWH?$2X}1(p
z6L8_M!w--fuyTdFK-l3F1W2Zo0VUIjJ9q##aX95bKQ_ecV1EzHQAxhWr!E^)*18_=
zlwLCZ)&hXo3c%>0P^@g6jaMr>oXzT<j`m>F8Yw0&1O#3<bPf(tX)1I&<NeemTmRqQ
zRd@MZUsU`T{VIwco?hFQYxDvk<S2*QXPd6JLU-44uPpEg*J^t5P^}@xaq)w-DrsG%
z-FD)-Iv9{~xXF)>F;4{-4!10hfv5#fX_?u?+Pyc?r779o?v8o3vbTc3>^0gQ-gvu@
z!MVBFGdKd*iEmH=_8FP&wlr=k3|&1iGBh!Ph()#I_iN3zrS!pJWe)D4aZ=|D;vq#x
z0=E;VKz7_#-Eoao&SDB&G$}E!40U#PeuCP2pqwQ-{AFo+_!$UFUVuFX0{#f-g6jX{
z&f2X7=TCAjFc+fWgk+DMxUVP+H)&ce7YQLH8hRT};u}=^{)AeUyrf!UswI`AVgoVN
zFb>Kc9&bq~@>R#>t_0sY!dwh$@2zpJLn>{WZj8M4YyhQ1|8or{z3*D|1BebBfki7x
zJsHC!0Trf$vzv+qtV$c%Cz(ME)tavU!+bKJ%X3T@$Z-`w;j0W$Ng$<jIC#6$hQlH%
znB^6B9L|vX1@VpE=Hd%Ocxg+pGNKS232_2OlEL{8P0uFprpHcgq0T&hLmg&+AzQ>}
zQqJ&_Xfo}ERdE{})1?FgAet6f<?Z~u3UJt0G&UltQ5OucUuW7YV3`t5shMo=7s!#_
z(v)Udn_0)H#4!+}QqA2Yx9iL7$2Df3@PovTF6_bw{C;ummhs@0Jsd>MW>5^KCDbc>
z2?)JtsVK?Zt;g};C-jt)pS>-m1)i1@V0EmJ`zbhH5OiOtjKYE6Ljiq*O(TdLv(JLy
zf}Kj}lRVYmS!9B7-+nP~%BB_4-LTax8mij&d47L*Ao?Ga3*ZM1>+U5D4?uiDjWTYp
zXOh6V1qKYhF}lCGY22n1m80?k0-q?oG}nTkB9lkobWRj@#|9Z=Mb*c>E5#%z=57@q
zf~LH7ELDG|f~H(F2I(r)=DCj^P#Q@GQ9)!oUff~wQ3Y6dGW3l9j8e0D4r~EkOx;<)
z*r){IaA{~?aJbBy$0I;VGUc|jMES6=T4>3e!FU`5z{X_#LZ50JC)iVrXdJ4qYPlzy
z%#y%2`m&3223O;huDKQV5Wu-|nWQv0cwi~4lQ9W8&MzdcFBcUpr`Fe7+vr`T80<tD
zx7B9?%aP;xDP4<3<<(hkob?y6z+d&?3E&VjszH}eo0koUS<m>K?-W|_QZ1}bj($P0
zbi?DV`aHVbb1#guru5I9%Xb9Njn4QvXtUX2Cmu8w0?)qtod|ptWj2>5IDO%84>)BM
z5&|Y%J!Yr@FyU870&o)`mdi!Q4+gya*3i(f3u4#hBsBO*8?c_k#0f{3=t!l@@RZgI
z8$p+uDL|4djO|g8A`<1#+wIiXwu9>n^bbyI3V(O)DNs*eYq|p-D4_Io!6w21N6Z28
zIs;4sn+ws+t-l$)NQm$4oeUb7hN5<tV;;f}QXy)3b~M(qLY2Ih1ZkfG0jLWzF5WtP
zjEFCVQ!o){HeDwg>aT%L71gxlWlDCx>&yq2v5*q<L?}tiCU64yb<FyXv3la?oUexe
zpn9^|%#p2Nn{&WHac>^vJUP?KAI&yE%IMur*qy1==pzo!#3GZsY<drY?0VuTolq2b
zQr~G1jytT8$0-fS984g4@nDz~WZh6`eSJMMNbE3L0$L-|K@}a~a9ytl=*$JKa8_<B
zUedpj8D@|AjiJK44$NTXyyr4N-@!`i3C@Z{Z2;S9gj2&xm!I^UL2h>d6bO`9A$#ar
zmIZ>xSU&PGEs-h(Yqot`$y>-oE1+9v6kJ%e>In~nnYxfi=zA~~A4)waldb|MsD{IG
zd2d5b>PI`lY2{HiO!X_x5<Dcfo0qaZOPfF-t;o~o7bUSHOO0mY-6^SrxdezDaD8&`
zzf#{QWDFJxmy=Cue*7)H^_^yXh!}Owd&9fEg2N~?Olzcf+LG=b_bYH`XkP{QPXCnl
zfFDis{{^&EnlhVp7KzLJNmu*_4$|dPn#p~uk^UaHQ$#3D@9PM4@P1Lr46U{5Q?WpU
zKZrFIB$=M)NC{<b(i|-Q^*aF$249oVQpnRH>R0IA##p|dy}$x8+TvSXiy*K4|L2$B
z<BaA87w)}a-)${q$A95?Q-I0S(a9EU++Lk`yP4p9C@d)q+(njX@GY$6%M~ZDL)Gul
zt=vlq>&xJTSe;<{LIw^GJ;9B*Tdm*jj5N!M`~!S}gL%@P`6A-}#-=&+;AYYTvPaQs
zB*AIrQiXy|feYo1i@VmKNcVk!hy8j4O;OT09c`uwK7<%5XR7DHx^VJ<Fo^})e5tIF
zpL9^zzpp#!=&-Zd8&eZK_czYt(RRbSk8bVLJZI*)e;8;mAueQhui~jXx8*N8MWP!~
zWlKkpBhHHnnaxuf?xVpJo7c2ozx*4sGmQgr7v8i-v$g_?rPKb!JAvVJ4xTR`8kXdy
zfA#G5WW0wRk#q^MYguhHu^%5fn^9l%#%-H)_>p?<KUEW9GxPNl$;-*>{^jQmrAGY5
z*^(2CkfG{*a}c6w{c<Q2<7TdY{k(l@#y|7!?#DH5?QYX}NVCL{2H*$KTu_7{zni7=
z^@V%?C>80<jr>}KGb>9h`lO-5x6LQMRD=!P_>Dl8eCIL}0RpMyB%cPfO>%{CAE#!Z
zeji4PSNj$A_uyY$h>)l7A~TUbIFO&RzZpN!gUU!<7JZfXiy8!&rk9j}(_GAk?i=wB
z%%)<$-*``sO1;$ShOCknJp1a>e_v(Is0_6?ct@A|kMNI<uABSL=dcU^z3g(b*#d(M
zcXY(|Q7EV&kyJP<g!m0OzD?hYHd|0})?}i$eG?;D1>=1@6aSwZR&*L#-EDgC2F;tA
zNZ-r&-#5KP`_jnJ8&Hcklz3=unHls@7t+b^r~DV}8=tFg2UgUw_0$|}zrh<Q7)T1j
zMpSMGCZMmb`PT(;*T1b*Tzl*qfBWR%Of+|_kZQxmK;Y>$CyF)nAUHGr(S^sqN02Iv
z`(Mpnc~H~W_D6ly*Qb_NE3|-8OOR3oR6qm_RIOq_z=sO5Qx+)%0olSHtj~oipkc`a
z3{lyNkOYh&hCqTKU|5SlLI@!$O9+8P0wF8`em6wz%x~sR`<r=x{PG{neD8AZIp>~x
zmd{CDZoNRcJ7`mWNVmxq0)3j=+SV6r?lRpdOq$IXt}a@7QTrtCwC;bYJjS0(zc8Ek
z^LNFJt=i{=7iDhh`l3UbnyFx>FW=|W{4d@1=T785ch>&D8Tt>7PF0KTZN=Zcj<rgD
zkSXY;ubSIqKfm<R!Ti8_YxqI7IC|`DvG>dKJ03aj@Z0`bi-y*=^fTclA7n|T^86<3
z?Hp**Oz<NnDKMKR$ai2TY_QSzx|f`i6n!tNDd_{_s<=F!Z$f^@3ddOgo+QY6p7-Fr
zJc2Qf@ngo{&RswgZVRu=3APy_Nrx`#^ft;r`srP&Lihc{h6FkSUzH7CyVs(Z=R&@4
zveWUsaH>RH`oQwQ>EHa(qpsHKRP#b(0eD6d2ut_i5qB5&sD1H14<ESvbAnpRzTfIE
zC?5PwPZ~DgP}-!i5aAj{gpxmG$E!5B={sH6JhnPC2EP!#Ai7tr&qe$kig{b*{wnQ;
zE+XS2A$<Q?7hxa7-6+<%sTa+ASbbxhxZ~s2yH1)XPx$54`*nTA3PiE6ChCSC#VEq)
z$pqa#VP)tbYN&4SqA%=^uN<a5m`{c3DG6TO)HjLP5MRrS|M(zfsZr;(V3bf#1odm8
z$$rE~?F_c{^#`p9A_@mjDr+HBQgzL(^V-flIWw+3H=e00ee3z=H}qhF*<41MW*#r{
zBab(rtp4dZX5>Y?(jS;-*}Ku{3}p}W&|VVS=-!W45qmz8x&2IZyRD7p5HC8vD!1;J
z!FD4rTt>~{u3^1XdIq0(cYMfa1y}vS`UwA^0_d7NqjoRCCZY1`rw`r!80YuFj63)Q
z?;!3p4=In^L_9|P@jsmF$2I=PV2(l#U$2FWhp$1bx|dYeXrjXQVUmGitvhSL@!033
z#lGhtkIg<oA)Z3F-q1aD=*G7Jn*xvj_Jh%dmK?(q7N73=^<Tb}h^kKmLpSZ*55I)C
zzU^Sam(Lw@?xr2weAWM*12xx$#pX;!%g{Ea2JL<cPtkdW0xrLN@KrE|+#N5Q#?Q8f
zJ0Z6Kw*1O@<GP`gx>r}3?)ZQCN5A{@W(8}fsxLnDsoT%(sX$kj$0Ys0t!nvHnU%I(
zA5-nrm+xxqW%}UK#o52D7cW%Z$VOc@_o_BR%G#vKaO)+$6YExdTIzbm74yD>Kh87C
zZSBHW5bFImd*SP{bHYw3g$Ih2L#X_Pe>^4)DnnKf7@?3ILbH(3mZkRR3p)f9pY}fb
z5sO<i=AjMil?dC~3Wk&Y-Rt4GmE~io&Z$DE1s0;uaLPS}yWQXCt#4Km5IPkFOF`US
z!JR};q1TPf%{Wsbmg#=jNU=BO1CulWu~hrWv-(PO53Hkba+JJh)eiMa%QFa$R&H%`
zF*9_bMR<5TcUrj2JcFD}+YtMrYNs+4QRVVi@bO>Mb&_R1jppwn_h?jb*LSYMxBcr|
zcYpuUwt6U?+cA(OHYR!3pLcU;d*J@|)i>)0oVqnOz#~MsY|J}?+FrDxL+-YTiA;rF
z(f?ezjzbjbpaUg-xt6w!l&aE?HiSL<@*-&B41T_+m8Yt5BU@MT<W@=jX--O!al7ZZ
z9wyku_O&DDc&y#NPMh?UtaPKLd~tYI)653jw|ZTdF|jk;PU3NG0#5q-I&-8x?3spY
zPtru=hLn)miMM8Ed5d%>h?(XVHYY^68kG}4?X@oWfoE|I9D(7LAo0nT6HLX-U<pc^
z`kr=sv~F~JcR^*B9R#5hRC-qXmVxbcKPbs&AKy#$zUREQFIc)}R+pWA;cbP2?^W#e
z1L3HaY4gx7=JwmI!L3d)v$oj8*sA1XN)C%~!4DqIuc*0WSS!xkIlD=;xsd<gV8+Tj
zk+vcVfsH`u)JGR+Gj6U5dNv#;RVruotQD=42<?KC59n(ysrSc_KEvx8d6LQRuIAL~
zGCY>ln2?ghc+}c~TQrwn)+vyByEh{l=b1PLKbKgP47a1yGv!U1HR*xHl!cJe)^SS<
z$&est618jYGTAfN)r&$CugZ{bBgnltolT*^Y~_(YJK{AP!^8CP9Q9Y=YGHHo+=7~b
z_S)v6Cv@wCL$-y9A)jajl$hDQ3f(`mST=gy`1#!(>--XN<$E_QB#ZYHs?*tgf@Yhk
z)m^4-W&L}Nuf_Y3f4l6(o21GcYkO9^dB6NrwP3EPpns~F)1UJ72MKPlpvt^>1+Nx5
z`zAM^G746ztj+vF1kXc5+UkR^EKS-^pYabD`kW2ZhmFLT`?xIS$mx2HqciMYKKncL
zFM}27uR1_7291iY6fzOxC&DpbpZDP(UtdGR>+Hcjmk;|SPBVLG&!@6l$4#tQ^)=`@
z)wnEEI~*^f^9HRoe(6PBDq2@+*A_Se0MKe5N`Fl;^NE{0PdFFlx<jc)Lfu$X$;%aF
zv*l^zyI$MbAy59GWE^3`l6_NenV(I2V{{)^Kqj=C)BVozR_M}quC+vNmx`68xpGU)
z>~pjAPwk4X2xBytOT&=Tg)}X!@Utg|7qgW7QE5?xJGC+{G?&(&kQor8HhQ0atA9;F
zPn8pGyVtcVx;9a?%+jaCF!G)4Ytwxk_@k}M%sY2d!tF-38%Nc!N?r_7wxusRUM?QB
ziV`PlUwl$^*!r&O>csO6B<aTWjWkr%@@cqWvt^sz-@`01;Z8->SISY&vl%h|>C78F
zrwBfsfJh$or&d<)WXNnBVW;wSJ(#2=>wA+7e~e4WBnsN3@k-F&5?3+P<}lJ(u-tz%
zs;>9Gc)kU-?da?JyGTQdA){$4hm)mM|1MVL;x9s@249M3V<l9WC4Xr_7nahIwnp@s
z#9TV2Ij2j|I$5n}(@%cD9=z+|ngn;wt((CY&xK6>kjvVy&o&+I7>`-;NSG2(iXpgD
zYe#}<oc4v&Cg^Z2fk)Ir9>r8s*M}VcG`w@98{<fJjgkiXC&M$kx`Ob%?Ie$7*3sl7
z>sBX3)O6s8e)3=;w4XuLvjR%#qI+laZO1~<IAdg%O}k?1uX7s-nZ@K2I=TWmH||wx
zU!I>9*gIj{a$|JBD(K_w-5r4=Kbv?kjc4MInxJRyovOJ!VIyoU%xgbQ3|KB*C0a|S
zJnc{h<T>ofPGXq}ubgrz&CMo0)LM^ErHG!)(9%YTdX{+@;pn8HfAIX`p50dcohEwx
zsIk)OJ5SXJdBQo#izxxPW*{Rvx4Wxd;d>G<8F{cW1DXbQ5K|IFm9%AHiw3)vwpOW)
z48s>%&v%qbg0z!;c#l?7bQweOb;jVT_5JrV(Z+4Lfb4@&fhe5{?u+Jt(9r!LY-N!m
zkF&(k%(;;nhr@^OdlS&Wp@)k#P)`SGq?JB&Ydy#NF9Et#2$?u!WG|Uoq_KA>?%9T_
ziG7Rh{b6tYo`BMG9LqDRbG|!ep6HV>&kk~`jI~j}T@Y3)$X#4q><Y4;&Fdz_8mr$n
z1pR+$Z*FMfm*jjK<N|1ULag9+9}-ec+t|uGpy}<;C|5%4PW3D}NVh3N$y+_bC}Ud`
zm^GO=#i#%qu(&@Y*`j;x+gpJVAXrYfU@V8%&9q=G6Xqsvx=^vCfNzA))`g@>{^$0?
zhfB1gC|kmI7p|0K>$y<Tw_*BYzBp-lzi7noRp?>*fKVzDOA~zDr@f8#k#)<rBJmf;
zyj6@o!BbVPjn!^dX~+*sQ(8xV!L<5dNnLcNECZh&fbF))9hJgrNz9uX=`F?}VPj3a
z6}kY>*(v~XuqxVF^q55Z9%jxcA~9FEVX}Hv>xI|oF6qA&VOF^Qn0i(~Qc}`#Utb?l
zeUN|1qbF}4--Z=SUE#yREI6}wGBd;P=jU72Ye9{#?ZOBFA_p0ChmoJgNvSA#J)|`R
zr)@7W0Ith5ENn7F_Do}F{rOpSY8sSE6?4PH;iekBCE1A1t}btDYwMH?`hm5~rJGq<
zSz-`B=f(4_rel|P12E<u$l5oILQWX<a_`jCR1E+!Ybwb$2MrL6YdF)|7HEIRGiQd*
z+AWSjbhaXy**S&5k<X(pk5v#8DK<_{4i23@rwQ$WD!hJiILX~M1c!*W#E3!1MfMRe
ztH1u3%w8Y)dl*^F1K^A(9{E_(e8qF69)$M+1g13)RGM>J7f9*iCHCM|Nt|gMiHU$p
zUh4Rqkr4R_Q(n~AWH^efC(xxtB_u4pn461M^Ij7GLJJEz$KOEKq~JJK2LP71wJfrA
z2%u!n_LZO8f;x%`5K`t%|88K>8xTM4ZnyXl%;6(OWTd5~X@Vo-WjhZS5~=W*X56T!
zo}L~Z$6R_2K|-ypIM&e<XZ2vErKOJh;=`%jJ@yiO(@j;nIm5%HsI}iTI!%F8(NN;+
z=lAvkOazOJ1M7N-7HMm1uk{~Yo0TAjVpv|BF6lx^w%BbzJ^>&n)6gOtfTeX0f~-HA
z$Y*Osg@uWH#umpu8IH!UY-_aZHgzkcFx?aFF-7dqRU+hTP0i)ki*wJ0T;lL0%%!W>
zr?D10MYM}$z47A4aa91J$TcS%&#X{d-Bp`GYfG%>fSj~H5<T8nTcHYJ02j5YcSCut
z{Zs|a*)E>FO%d_w2ef6niv_X375;;b!KG9ahps3*=rYLx01#`5baN4a8TCS8&qVS7
zXI5{Wy5d$j>WL5y#a~8gqKa9<WWVbCE!s&DMvT_1;+~(Uc1LGcIILgMRrA>pnNcV*
zDXsPdn2>@<%TMVVT3NgS3UKbwqd~yOimXSmfB|XgaNaUl?QdJbOgO+0i+BL@ZFVB?
z^UVi)M>p~l04lf*t!l2}kt4=ZS`W*w_ZF*n5$R(!kD>sURsCwmJO}}tv(H{_Zbb6x
zUeb;w&sQjogsPS)u=*%eCzyWmIK9@n%|{o8lh!~J=S{oEv_OlGOvs`w%u$h*coj$q
z{oC#>KLsid5fI=Z#1@VtAOXe$?O9*-;md<_L>L|bQ_Jq#t6np`mA9|miq*_95TB9E
z5Z!jhf9{fi2P><Tv^%#AHI9=2@aaN6KV$nO(Z_JzQb;u$f04Emjb)3XExYF{3`&l!
zJVI-BOOJwO(4jyy98j%^^~36e)3F4g9solY!B(q!1)gL8oqEE4w?8;7CS<LYnIHzN
zUFiKd)@*x7DMQi`a}Ws9YOcF5hQuUeoqP;_D&Y?Tbr*e!%9)-|j_|=rTTD2bheHQU
zU+!@&ST{j^)AdX0K0m7{HxjwJ!js>W$+=;O6-r?cD2&=!=7?E}M7hRNxvrU+ndD1B
zLAG}KyzJ5KfGpvPD3{^NFdgJs^|%Y4JGY%s=p0NGbnP3(daiequ-*i+F{2mcRa!+`
zC*%H=Qz(Rc&*mFL;=|r}61*xENki!nUdnh3fwi1(6}M%PP1vk7Vl;Y%(zd+mb7hVz
zxGl#GOM3;`Xu{HC27@8qU!rw7(huZ~W?b8%x;oa^cV71U!xI=F!%i`l7*1BGL5Um-
z4iP!x*LoygGHMKATbr9BoYdkY`rQvH&dY?=TsM;*UT4YBM9DcI99FXD_2IJyP!_1Y
zklN{oJD}W!R%#xWZ$RHFc22-thwxNU&({GT`MD+AxiGP(y;^sYiD83w=XzaZUy_(6
zs+$rOTANo}G4mWqf)N9G2IWnV(a@rBGKT<G6^GJ}n|OFLH({Ya|3E5O$N^RgfFI@M
zLokkfR(EyTF0)${M<*xbHw+|9(x%va*XZbI4(tgC!Q2CTXSfT`>yKT(xxCvZB`NlI
zD1P62YJo=5lD^wD=CTT5v?aR!x3C%?uDye!qc>*sSBOBGfSqu4wX=9y6`x4uro7P;
zf&@n``$Om8D=R=BmlL7l5O+b|K6PtWirV;!F&roM`1>u^onswlFic+FVwyJrk%;1l
z;ILt2j`ZD|rc9<gy{M<;TpWlH{H+xB<FWHU%Q5aky2o$Ha&Q(tQCq~R37%#+w6WrS
z=X=*$axe2JCyX4F75bRujU9DTuYeyeAXJh{vn6_b330`_Es$irW-oQA=$Ab_2lI}b
zIA7MwzB~FOsuD!iIKX7t1vKW*WKPs=QtYJ>pvIlR9W>k+&$EC+>&2nVo{k34-qA+>
zpc9cT$3u$JPmS=qOR&ejdg0j(N*fxq_2S$8mI2GgB<kyyWb-a|?s2`Qlz{1S@OLF?
zHOpNH&(ga1^f#u}x;~4jURePk|7D5w-fF`fSw;)`Z@I1A@-<cDLetHxIj^Fp+%O;u
zQLxCRIRU{#$Nos=#F?zESooSm(gnfZFDy)%^Gwu8-GvphzblzKjS3@E2WD75W*RiF
z8(k{!v-)E;hM}vzYM-71*+^EX(e$k(daO|^4I~26QKNa+Wy8Y+JWI%}u3A(F+99ZZ
zUoe?7jbRUix`BMk&Pd&${K^hbAl&9ae=;~-B<wLa0maeLahMxM#=1`p7+bE|7?sFp
z8og+n#8=Fe&pPIVEqmf#o4~B^k1he8+HK55f-G+Bm$UYJ<;#E{ij27+A?L~kDtC1b
zuwN4bv~#Ud7jr;zoiW47xK2*F9wCGe#q%*heEJ&OktxTJd1h~q2jy=|!IxxXVUi(W
zFNo_sr$gKr;t*7yyFCgA%nO3slw1MeE`St)!}KoS!&16%8Z`O^(IS|{CIq((u3PZ{
zm<ZUdyK%A9dMa~i7$R2OpLxy0oY2F(`=gp6ICA=(J4rlyS$9WAoiT$7$FX*UK6(#h
zsmaNObYeAtx33EU?dUR5l}?fxu%k@;fKOzDQ9vofmtPBVO{Ymru~A9gNQvra9&i^4
zb?Mt)0JlhBxbou_yY412vEP*>t$^mF@0xQauNVrcE^Thl-oJXbU3jwnz`r~Z8#cGc
zsHd9!q)=ivLBnQ|b6e&<_PyeQQ5j193f$~#cFyXFJaD@a;3RkC-2fv-MhZe#1d0=d
zK)<W%QA`*WS#x&!NEbMCU^<qU2*8%Ru?|>Ze*Fr`G^`69uP|4O&6-0g?7<PBSp-Cj
zVLMA+-o9%XIFMrx6v&iG;D8!{cXRFigqoZsya>Q>%`lu&Br)I$a)?hUG}pE8wzD`7
zU+JtM(3VzZb$sZo0ehr*vgYWTIv(~H>|R`;Wfw1@c6Y<csq+1m+N57S5m)Wg6mLG<
zb)k_;P%s7b{X`3ns5HHP0_ny_s^X~)B`;#seXE#_fIh_Nz4oSZ7)pq)_(H{7@n})J
z6;-Ony<YCF<3ciZDam;W8@^I&brIAlzHC!`=^_M1_<!-&(7v=bu^L54Ex37DF)Zw)
L<B#~`zQ6nrJ18rL

literal 117350
zcmdqI^;2BI7A=e=NN^7t91=9RyM^Em1B6U)3k>cM+}$O(LvWXb;O_1+_~0(@<lgVr
z_uKme-c${zW{R5Ay}NtwwbxoFR7FV^1C0a?4h{}OUQS944(^pJ92}xC%4^^o1B59<
z;PU#bf~*v91zvZOtv<j7^}C!d1P+co_}?2odgsgp4(=VCyp*_xYsS%vTZVy)!R^c3
z17vi?bYwA-E54!5SNd*I>+lb*v|ii*lCHlF(%)=+#$rY^#&FH`4@OrXLc|EfwRF)X
z1mn5tH1@HWYwBM4sl~?C+f4EdmAeQ-FP@*z_+55KztN}4o6@IlKY0q-?q+!;d7KPv
zdx^Sbk3pZ{!4Vw2#Q$&nQSi+;z+(qyvnx-u;ZcD$-D~9a7=-YnSqPdr^;)cvE&jv7
z?fqa3xLgBay(`aTlx4cf&dLjCY>610^gg_`m$<fx`Gf>qXo9+0u;uw>jI2R>U3LAT
ztD+0)`*h)G?Mt=ZSp)VVbloFf5+S&~c{{s;@(APaa4Cbr>6_^^k`W8`b|k}lb=CSZ
zAeQ;ztS@!>AQ&NZ$R83xCzQ4qN45#N`gVVLAqh#`#)+bo!#@gThI1%PD6Lbkzh0+@
zV_lr5IS>hhC?|Mw6y`nP3=oy7yG-j<{M{RGUM!xGpL*byH|muXqyQ~X@%E<B^=(#i
z^fI#oBTuntR`)_MRdRs1Zlj`hnjykoQM`V};$*mjIvkPxLUW}*_3=aY>-@I6#=zfe
z|4g=*v1CF_gwru?DscT-3m11(6zQ3yiO`j7Bdr3-`<3g5Q-YtL<yxN6FI<jI-K8M+
zm#1|{o{#{ki?LyQAMmL4;Ve<lP^<k!e0~L|$-+VV6t^>czDn^g&npV1dZyS1)MSWH
z_m2K~xYr;M*L>Y&?%tFh6Z<*h_-Z8BWOa7T7yR|jq&b&{wpCB5fc$;UF0r8oJ2>wb
z+Gv&lDRZpT$|Rc?^FfEQs?qPBHISztZ?6TjjOb{2iYTh?45zMEk6%BN-WFKjd3E9W
zQE#kCA~6rm`p|eB7X)OrDQE7wLfW0DguT6;DQ_5kgiP)*7+lG~qn{VO$yG1a<JbiD
z^}NM0_NsY^7(PM65aZZ--=7q{W$OH1tu#Xn9z`K^iR3V~|2OJy%)eW??%rlKcJQDr
zOEMatHYYj3sA<iWFX!PfzOYgKzD-M-dkM+ItLzi-o?1dNdA&<bO>0&puuG)ZFjjhW
z7w)%4b-7((^58CU7b=JvI@g)q%|EicsK}7n-Jn?JXI0oXc7ZZr0Y=xS7B`Ft*P3WP
z>axB;i(EB9{yt%8e~)|QF-Z(I9r*uO8}+P21ip41-&OF`-<n^xc;TYkP2f4$_ok6q
z^v&%p^YsJDuT+(<T{v;wcA4D|B9wg5D%6`-waZ0tk22SuqNn>?)>U0FT-@IbdNN;g
z+PEI>zDl5mnod3otRog}M?~;vmXkine}^itYA1timGI=`SdD0s?ab3EbIhh{Gk+02
zs%w}eqEPJMR5|b-oP05Q>3(yC6Tx9B&%e+_D*fpoOF|i@C5ANk4$C993Wwok6j3mU
zXm1z@szptcRfL5x>S}E_je1fm^laWqg5TfN%|APB#~Ta2%7l90o*}@!NwRjHm!38e
z3*M*a2(K;L%FUah4|e<}r}5mwk9X``Sm|$L%2GgZ)OQgR3D{A#X|7PWKB`lw*~LNx
zKg6v$p+AvJn=yObI@iAPbz)!WDZG<XOffkv=F6`-D#Hhr7mpg-EiEJY=O|fQ(b<5g
zUSi0u;P0lgdcDx<-w<xaMVvYL?MnDIf7yE0y$iYJ?iS~%;CYW3h7Fl?m04nN7qA+p
zxQAgr&U`L|=g)2;-d0^zBgUN-EYM9~-VujRmVl3Ms;CljQz~ZHZgwE^uu*<%LH#-0
zxUF`EU$8N}(HCJcgh%jD%Z2X;<@=)u-TNdOsgQICDt^VxC%w1&e({(CJ7YO{`X)Wi
z$lDojoCivQcNl~s@p?1_baM9o>_b7y10#`b#}{~!A3z?UgG9A<2u)T<BF|Z*IVylc
z_Kvi4JKR;Yj84J2ZmSf!9p@nl0*fIKQ92wu=fjRW-tq-Cy?!j?2o8mi9s}?&-{Ef$
zXY<U6L)$NFLKK3?LLDY|`jC0vSB9^a<5)UTZxz=2Ij%$fI%zK9p2>_I>K5GVcJ8>v
zkZTpN*M2X%&yNOSSFVJTH7@AibT5n{qtNkY#jtcz++M{C2-Z%^+1bIkN1L_r=utjv
zUhzPeAMPI>U};sn`^U##agY<jF9z*~qOgV~TS3n@FCOdpUjkvdW+DBxzS)SZ@KRDI
z+B0kjloZ6o^V~*IJ|#zdO)P;T($q!s?YAOzg!%6ZoD13yeZwJm*_;Tu5`mx`iAAT7
zobKo;_bZ~nZ9Au{q~weF+2&=(kG;$Wgf2yC;N=<1<{uLqeW=^@?SeTfr<(*I4I-$}
zsN1G%g2WPIWE6sA@T_^>Dm1sc1<OX}P}OvJp=a|%<6m-MDMyB-mLUnfy(L<gUa%5H
z$`T%fUDPB&ySr>4%RZ#z_a--eoHi+LI61bkvebv|Z`}b%ya8)Z-n)&Up07IM#RiXv
z5*87KE_FgaIFRhRQD)USBOkBIsw%s5NTrd~s_4g$H8ncSSq#)qrT3KSymrs)k-V#}
zYSrFP_gD5tMr%tM5K%Z*y5$VMN*4VF$3FYV;t=asQQHp9W=3v1i3Zw+ZYB(;)HrSe
zzaSU8BX**x7wJjKUhlXqrlAgaC_&MnpQW#WWPO~80pi*!MheYMFe$s1@4((z9&2i-
zp3A&+BLypY5W1ML2RD@+(8#=I!|u0&o=bf?W_s_xj>BIXmA`$?os?ax?{G(OkSj8K
zWs`Mt!P}eBz<e_L?|>8rUacG4Qz#Q3tZk!s4X4SV;N{r7dX8*nkS^LnF`+bsf7HF!
zBXE7KlDbtbboy!i+WIcq*9CrRg=qxmVB-X-VeHH+%^UC5`}#2%#mVy}N~Q5ycG&26
zvBZZ>UAj-lg_&*Cy8}FU$g8aT%uSzc%WhWu^l;;YKhH=_3T&^=>6(KnFE6hl&8w%I
zRS%fRpKsxi28*de1?g{s*x~($8dt&);h>O5u#eA6I-JPM-59Tt_xk-|mCvppBC>Po
zf&Tsd{Rt&8@$GbI##UY3v90G_2#+N+zA#p5!XBJGJ4l|!vq(3}|LNG5HY6dsKAKPU
z*zoQbnZWnzQjzTN2a(ZHzxIo3{s@jD^6*y96oqASa>E=T?hS5CNorzUf-#Gq?X`0m
zXHHD8Ah+Xpaa@Ka+J?=U9w!#VOLsv0^?~?*0qW+|ANSL&w+<}PC86C)UxdFC<lI0(
zT=5AN(E%~E-YGH5E7FW_zhj<e;t4#cAZ&E%C#`+#cAmqr9P5a~qoi=4JPi-{%NuZb
zB_ILY?L&!gwAtKi>0zLDiRcS`T!MTCr9U$r%A}_J!d$l*_R&R!q%AbrZ<z%65Iq2|
z=mTLRW<pUZ;*M+RoT0}t=;aCV9rYS^ta3y|1SqL+zbllCMsdnT`Q{#3^!9g9DUY32
zTlC#yrq_2X>2aI<{deH*GShnHf=LWqi;{e?u>P13vYWzaDb-IUU~D25hO04w1$AKS
zbTFS#bb~f+D<)a6CuURO)~ASty_XX~CDhFl{tzPjz2y(P$IFo%MJ(a1egBIKtCt`u
zw|8L}>cF@eu6uC@r$-yf?E^pAi;krF3C(9$=NGalUh-F!$Q^MkFCwR%em~Slx7q_H
zkzSnRU^m<n2sfHt`l%`3ZRoyBUc=2x?kPUnucx%%7II9jDX6pM2=#zK(sKDe2*l~8
zPaY}7?X9m}(HOEEc@@O)rAOl6D2>xrq56%s6*pH`D+oet*<+pPDGeKL%%jak%ML><
z4{+`tP#%W$*$Vw&K5v@qjw9&#zawk%F#Lv+figjZ$K2#no}_Q3vf^UC&vtszPj1s+
zwwPw(H`sQqREH!-$TRClnXqTdP~-Mn7NfvD6QvcjztL`ElC%?ZZmwUh`?z~Ew1CJh
zS#MU-%PX~yDJ1-0RMVi*c$LGG-c%MiiE?GxdhtxMR=bZ7oE2^U+rtIrQslb93%Oym
zFN7OBY|*uOQvDC^aOq;L7T6VLm80g!9+>%t`ynnI^5UHMj`k}3N!GmBK&dxqgu_^O
zkoa@O&)~4B{)l{foV3%ZsQWT`)NVBJn4nsW-SMc6gPT)@{0tf75e_)y?q6nL5j4cw
z!n;Fw>^_2enCbZN#xoQ@JmI-w)jFc!(FqnlpER`KiAfoHM%b86TOYCF<Gk$*<>KN>
z7(V>%<N1)6c1}O($VMYs=6KuBfACbd=8;wyTWFz5hA?e^_G9zgH59MMDJJ93E8CSq
z?E&+<wVq}lT%woM-jk~X2fJ84@96C-%*M)_mGXth+bzmzVn|wblZQ}kXsbmW9`<HN
zUlE5$sA{IuG6B(>Uuv;)Vey@_jL+c6P0<9tdx-r>{G@twWR@b^?m5ey+mm%~iu&)(
zlQW(F;zJK-Vyep+n|qYn4<w@8@+Aw^BFNU(Zci5(p7Mxvw07y<!Q=V_@08_wR~6-u
z#u%_XiEc^PiF~Pzcc-u#tm6?yr1#D|N*(cV50U*m%;tL$eI{xi)qaBg#)dMe^&71B
zsnb6zOPQA6y{8sMP?`DAXuaT&Tc1r7QTpt8eM#E5=KbI(Jf%F^acrdNN^Y^`%@WOr
zDeMr6Ny$H!EZb7AcXGNDYfCQTKoLyQj0A(1w?7lHx3z^*GfE(V3aIVgB|peBHL&GD
zbU)1va<nAP<yX`)-u;n2*ffft_esiHg^oNxxqF$3!&_?|GXRj}P*fT{!PV;lUoy;d
zVwqOye~Iw(UG-tob*0eCkfmb<SzfJvfsUR$nGv0mtz%vymi+)Xlnj>An=+N$v!eSC
z0{;HQm7&-%c`k$ng7@5_jdDTG**&bnv&DbJz;n@7o^JGQMd5aUx1~)`xK)&3+0f43
zJ~PXcX<}V_cX{B&c6x5TqSz(MsoHt-%`>)n#>idu`htzm8MdyB;ImNk=(!Gt2y)lr
zCk*W*js|)-%Et}!4J$}R6-T+a!{Byp<mQF2>7TuxHmZ4qm|7cGN}`ueC5Q$v4y;J!
zNHfLcB{5Dka>8z+b6P%e8?aJC>|BfFQD+dSV-pqwqfA=qqDU)V`e%xitn8)VgFn>o
zvJvh4n5;d!Ta~5+*WGecEC~o0Q7#a3z5u20clBmvDI7(%f71`C2{5(8vb+bE;^^;(
znS&`ZC85BmACvWuvGS26*Oii7B(G#Jv#YKSYH0^-lIux310cuiW$zw@pAXADFDcR)
z`%|W}dsg^=HCYYoj^VbMMVH7A4DmH1v2{_htG28QtSfd6VA{EH=g8Vz+&!QUY*pd9
zpRyLJuD{S+9(hSzFS5bO65JSlktilWKh+Ls>EcXX{P3cT${hgBD-Yz443RUtaI4lS
zAFInO)k+(i;<DM|vOK-MzBZIh89p<5{ra`(jNnUYS*5#~0$Yf@jI8X~TB9B1&N&xd
zE#>0b&tTCF`?06a?ZeJJHFxae*Svd)!neH!tYK?8hK=LJiH!JW1}^%V(jOAvs7g5m
zrZMZ+!-}uKk{?PEv~xv@Lb`h}q1weV`chA9lUm*?bGG-ynFZ1IYqM`(M1ZUx)w7b9
zsj{pYq`6IyMk~Cz43EQq^0&FP1F@<M+aZqLkZQ)WL+Ciu0jdV7#H^o@vQ4BG#W4+u
z7AnP1<sJNe;ax7AzB-m=BlwFa?mtCDwieiosiAbPV}`X%6W@i9Q3kq`O^0Bc+a71$
z(J^A}Jo+8U<6E~uZ*NkB;Y+)mzcfhZC8|v3rfL}QVnI2yU*5Qau9rC)C*Kp{Skn3U
zbSMvI=&gE$=CUJH=v9oC#wO4XJdP}S#AQ7!L$l&(2cUj1g7BW?VdFUlgee}^rNu?G
z5vz}R!5!aG_OdHA4}m$moIUF%$Z8MM{Z=?gmahP*Y3_kKI-L^f<%dsmxM}5s#XjeZ
zSas~tMX9y9q;X|%S(eos8qte*<wZma&lrv0xTlAVq)bKsi<bGa(;-iVO7?R@lB|}T
z><!0OW+|Gy1FIZnVt^&Lj2x|zkY!!qtd(>SmQnF45#1o_oqx=b?B6r?Pm1v};+Ba7
zi^Z8V7Vfd-hwY1vjqOvm<!>SGHBBB||A>cF9sir734Rl|IU({Jo6oea&@v(z3_)}_
z3yQjfzWYHu6*-H)&r1(axacd&73DWkBQ(#igiBSl(+4*9!s`SVUTVA3xUm~aJ%2bF
zK5z$@^FvLu>p)_Mb5(5g^5-V&U+|@s*IJyeG1^*T9S?VXI_>e_)wljSCf&a!e_*lE
zsG1#=Yy3bi{N}7~kOpcI7qb0EQZ2*$w)7?{N0P`g%~6gOx~HewC%t&yiOHr4dS}!x
zKj0w~JZF*V#F{Lk?7_2|H~NIv+VI55z{8ZsVVb48oH>iyV*uOE{`)YJ(8oF}VXxs3
zco0Ea)<A`?>R0_+ZbB+7Gng)nzDLG}>s-L`m+Vi*p18>g17!RBP|199q8ZxJueNGz
z>;jKSiX?V%6V=I|#tLm#?<$U3uF7=AK7y4<fd=Fs8^Xzw{_Xhatd40&G^J?k1pZz>
zDOywHOT#nrt;EndY_yw0-w9rnKlqrpQRrn=DEo~VYB3&tS$ZknEyfq@+hOKtmk<@f
zru|00hIoE)$o;^ML$H39%SfF;9PN-^LwfZ61cOO;5JuqW=%}FIS0I+ncf0Ax%2)i6
zt#(!hu`V&RSRaMj7PWg#+bR{kzwME+MB}SeIaauuPY%ZZYlH=8vt5|=4f>?xNvlLg
za#nM;vFF6+&gIa0<P4^%aD@#Lq6b@6X+YBtyKYYzy(xHK?OiC2$>z%rM8y{Qy2dxS
z^{NQWmU+<eq8PD4XRY3=Y819_?X8;81ke7&XKe5gNan>Z3dt7>xYx`dD7d{u`101i
zLuw9<!CoXfe72+?BiAAQ^3ppxOOZ5Mpn+pI;a8JjG{DnAdTWtj3pp6KUxv=fyJ#+4
zA9)*uIx(BRQ$*c;TxaTv_oE!?J}bP}Hch^4BfL#Kx|3uEmHZ%^x+(S%zrMioYsN3|
z=}XvwX7$UbPR)(*t_ewL>FaCGjn*09OD7|Q^t&|JuDE~l@V8y4DFEuo2||nXwofKu
z<Vwl4^-G$&7qSHyt2<bGfBiSNURk0Zlt<$#x85O`!n-cGdIPhqN+E}ju^D9JnJyz-
zRX_L<hiIbt>p`ahl_J_L7cvU<I$0A+OA?JeW@Lt3<vS_+qT+`Oa~l`{QPlME%f3XU
z2KB7CH9%*v6b?iSt`@rmT)#&G6<vEuro##Es$|NtAbz8}dbZT?Z=!C)rnvn?{wKi>
zp;^VaB-(5uftL6)0*f?cf*6!oVj@&lv@@QloZ2_`I6sv@Alk5O+CN&2wp)t7R%HZ8
zAYs6kHv_s_{ybg(n_;>x2Z^sR`1Qx5D~@&Pi$}v3jOB$IA<A}FS(NyS6<(~qw9$et
zLy3hS7rwI+GSU(&i&)r$l3X_V+(Wge0qpXN#I+wr#t%5?8LnO&JCp`9cr>I$5Pz0x
zk2S>}Ou@I^Wb2jVr7Ia38R=JOJ*1WHTGlUWK0Q4ZwYl^}Tmy(#q}{LXjHMz;*6DNt
za#f9(yq_b>I@ui!Do4ICD*X|xZC>GklKn`O8;z?->jGb_)#9h4aLhESc+#9+$ln$%
zCI&J;lChUNm*H5P#l#gaQQX(7-2MusY5voEe$%wgPlWsR2Z!kyFm0oQ8(W{&_b^(E
z<*J<t4J?rw8OkM}5(@8cnG{0bLn)SDTxDKg=v8@yLL|#|+VyiERl73^1RBt(3M(KE
zapGP9d{klY!fMhjY&Q$_axl=Ozhe?4fG`Jo=o0sKCa2C`&04o4^x5tClODf(?#&<}
zbb%%VY|H4E>uA$`zHIi0PNm}3smt4>xpbhD3laKEe7*Mh#5*x&UdYkE&(JC2!ozFm
z;;;r%jOa4*{jssGZFUjSl?RRGL8&5k!CaR&5ka`i$mCEPffDiB3|h93C$U%ZaA4hO
z5D+@rAvnSTJ-_)l1wJ71ak+M<5nOYYI9?Mt<($fpEGyn=>RdU$FZleJSuQ%tF^o$^
z4I9Ynh_HzB{zpYbSxboH-1SpuEz<tOpl}@}rSjD}kIhSVolnK6BtT;vbqU}C!I6`q
z-c@oJrX6Up^6GnehuT@Im%RFONxh1rywxV<xL&jALrTW`hhhyCQMZP0_X5dxacWE3
zhO{D)6I?Pi+qU?eS5-=AbW-?(dHwUn>jdIbG%lgE`%1cv_R)v?PqaigBlGb+#I@`I
zmJ&1>Yw($sv5n6kF#5FEBuP4xsaJ9|=kA0R*(-dz?ZL+@A$voE+cThwe7b6(W+#~u
z^C5urEC)#`KyHtpex$QB4;F2agTyKUS28E1{)%yZFEItCK(okp*wJj{?hbRX;(cZk
z_R?lv-eK?kY+~=S3baML=q3j1$w|v(hHQAa@i%y%K6-`@p!Ub}Upt<>I)SeoPRcu)
zcqC6h;TxG#+Lr1544v^@OFeqE3fGqUy>bl6J4q$JF_qaZB-C)A5q@oVK5$L>dU3>b
zt(ojlswz_Vt8Md666NL9l^2EU>h4JT+|A96PqWh#z(E*F+zR^4b#-;AI@R*nF1s4y
zOS^=~)oYa*K$dJ8$+KEU1{T}gAZGP?Pf4W|pQbL88*Nwg(v7D;_|iq%W78`xT7JqN
zw_MA6P3u_%e??4S*HkvwyFQOWthg29<{)gt!9S@t{L)fUrLBjOpYc)KNeXl15#x}g
zq~Hd2Bx!VnZ)s;~b@NI)=~r*|rQ2cPx$DL+@#@62jLavjF#u}m4~|u*Tp#=ZL9a9z
z{SMl#t^nKGz^rD@UfWDB(u$7ci&>;0;%tIAG0_YqeVtSlY>n@u->afq_=lm4Qf<Ct
z^$q!%Hdhzh{eZh#r8ZN9@+>_$<q;fBY6tCW6cvEY{UPQI?OA#C)qXC8Gm6eNIqHdd
z`PcHDz_n(d4sSNpFg<vS+qcRrI=&j)hfR{fe)y91np;67j&`oczRf_h(Pp*Ht(!m_
zbVlj2>Q;1kbabRSgN2yQNEmLHYP-f5=8f0{(gZ3e8`874$XG>HRh6P<CnAWMS|n;K
zwxgpXl}9v{lsbG}W~`e`xcM(YWfv6P*k0|ESk@~sB}ioQeW(7&zh5dM;gq|3!d3V2
zb)IC-hCZW&tcy7#Vm?!`tctS9=Q_2M1THsW;q<JZ9u4g=JuFn<Vcnt46NFZ1*6U@?
zXG&Mf0qwsJ+VT~iBFE&x(Fa674UxXJU2RPfYnaA=>+&Gx_YZq#PhoS2ZURZ`4#h#T
zFmEsYC_q+bhyV9ML1RBjgLNvLw>>FyiSTPB3i$Jz@YXlO010P?q;N_C9>#3|_eCxK
zV-QDHT-H|Jw4G&noGeT%ETrPPA6NZjxX?H+Pd>+ObJ~-2;ueSYLkpJ*8yj!*pvz(n
ze5*TL*<+%Mb8}F5sqKU3=Vv?R6>UvQ25KU+@F>nY<`|cIdHMLFj~`t-cG19_8AP<=
z1R4xM#U(*n9|F$N)o046nm=GJ3Q`%R$ekeY4cKl-MUC!g4kUjK!Xo0bc(kmmycsGv
z5M6HyH)uT3J;kya)*aqFp<b##Zmp@j(O)#T9-pY*sm#0R&%aVlD9zoh^#D=LHlSl=
z`MpP{6raLpO85zWi`)F2vqG0fSOXT8uk*Q|Nd2t{nN@pfZi`y%2RixHJgZ7CRIE{-
zXfg0GQh00lzwju;U0rel?0?}rDhO#AZn-W5_My^jYRzJsN1?hxY%VOASisYd$MQpg
zhqOcov0kS|T3?Yp<YWB+KBg#|h_oP3!82y|BI)h$KJog73m2QWBS^{y)a8Vb{pF-p
z>fFFv?ddpPGphUWC4yg{MQOQxZ$Xrf#3zBzrP`52^j%NGL}(&~@NIvAtBu)Av(sdq
zZwR{u@g*1cyL1}*O)^K*JUS4PJk5tZJjBJ%Z%usOqm$z*9)yJ_%Cx^1c{1xXd$@XY
zy#OdHAH!RL8lE~k+1dIHP<1o(4j}v4G4wa)^&s$RwbQ}oYx7S|<#h37AE#_ID>TQs
z0zGjCpxxoN2fY<GrcQD^RQeron@A=Ef9MW&q;Us$O^$n)_<X=)ZQg3&2z~-*ud~+D
z=gj;_F9F9}5IMg?RH214^00U%duj39pbpY|-w5SQLBx`Xz~aT(0jaU-yau$K#=Gwb
z<OV3zo9e+$Jb`OTPVG0poG)s>gpW7@@!$j)6w`rfq$)s!hSX5ZbCk#VG~YS~&z453
zytToDk<X+}S@K^lYbK_Ww5wGF$yn#GOw-3(khCwh)PDYKscLOy`@!E=E<o+i0Cya;
z57;WCpyftFaD?vQ_40jHSX)-znIt)>IM#8e6f$MIifmNI54@ft6^en_eBHK$)WbLi
z)HHf*=pQ-M*exs;%z-ylVN_ugwD5}E`C|P9n~y{VMGjpROP7u1#|9$Vlq<wwB~+mA
zVP;BN=l&-(cb}vqKb;&`X({>`c|IusY;zh9u1pYFeHixpJtg^R(>R&E$8qMB^}_v#
z@nvPC@$q#<^^mW$`OcD*#;D}(wZ?WhdCkFE|MLR$k9{f?+~0rFo~>YG{VNN|ywcTH
z>&}tq>2!)Oelq7qdL?AD6B|KMQCxoyapLkv_hN#maMC_X8hunepepQL@RS`%5o8*b
z7*g5z{$rG3ed^bmD;DQ~ZB=NubeYCB_vUt|?%YF7U<*2+%bEi?y7rq6h9TepFbh-H
z{Ndsb2ui;FFHv1if6qQKHE1%{v2-`{(Hhlyl&|I?Q%Zo)hqO$964CsUMxTR2ChZ&0
zYg?--<ceJ}N0t00zHaB-SP({45=?<5@+zA`s}Hi^bf`^uEC7hA--=jI3_Iw?%&!K1
zLj4GF_>U5ZisM<Nnl<ZOit(4oMhEg=&S_Bv98ux~935$F$niLM6~(=p76@$%1Lp|j
zNEhIdM(BHJM}yP$<;m5eOR3G}l=CeN)>pi58bpnQ0)l}}5BJ|gkVNMi34CHwszS0;
z9}B|p_u!1x{~-mH$0rKeR8ePEtfjJw9LIB+ahqarnF+R`J4{_lTb7=nL5}5;POgwZ
z>tT{ytr=L52_DxYn3Tft5^MKB_Gt9-<Y4vV*o|;X>scYq)V~?weSgBjr%fFe!^hUd
z_;;Agk4xGM0mYF;^3(B#8|3L$N|b#yo>}qFSHd6lAJM=xRH~|$SW7cj>^x+)#U`zB
zJoqyn+%w4+>lJJIM`gwl{4~1D^#He1$NbwWf@AlyeHyo`KCtypGCHJUBfHpWSQ$`A
zq~-9LEJ!+{wX+aev)b%x&)(!{SK{KfDT)OCmW&zteGW+ztS9^OwLd)ylV&HDJxqyK
ze2UU)abc)q?Ai5Mw2ot!`MZ1XN>-!~?dB>Y^~wQ=7T2^wLu@m{GUJD(ZvOadgB9J3
zE93B4!*B6%=$O>VC_s)qB*?dVwfzPUR`%_%G$dR?jm8E}&uOsz{Rt-QN?Z>16&CeS
zO<~%b(hN{4K&`gW^`9dK52tQkTAwP>m#;j&87&ah00sZ$pSZRqSQ8rpOL#C$&hl5+
zD@&%n>bE>FZTHqcxV5ZDPptlB<iUV<JZsUhIfYLy5-|PVH^A7Y)KD6x_NcJ%)U)#D
zvN@8&tZ<6^Buu~cER#f<?Ohb>J63`Mo$pOL{X6(hrNK9X;$QAcLsJ9{MHm!57H6m2
z*632m5(s<3;eXrVUnmYwaxFvqflOubvsq~ReaL%~RT_fWusDiXjgAwVJ1b|KhuyD6
zWZ>aAQ~NofPE6Iv&jMLBr6=#`xO0f%oOZ&oisxXk-#AB&&@(KdPolk=3j?o;JHAyF
zNr{WgQ(u6>HCp3C4i1Q!1MHy9jczP>ZqA5Gg>yiL+hdL|Nb8=4ef-r11_nJ^CA0i-
zV((1}%=d<kbx3QhDd$zkFU}j2zdcU~Hg=RF7T%QN9^Ny2i@~8ryDSBEh<H^q;9Jv_
zX2W(zEjM(iNWEdIpC(a3rX(ZLMi)j+Fb97Yc(DB{cX?y>y5o572e1lpU|>bmhrLVw
zdo1QCFgOnvPPOb$TvT<b-W_Dfb)aMp{c*PsgW#>r8k(rN1x<+8O^AirEQk!M8Xa4p
zbq7!6<Cv1MCXMq&hxkIwX~aop*xjUgCIa1`Biom%;2-}OAptPM`Mz%@Yn6fDH84zw
zAhy2CA%<Av^gV9h_(a9_o4CjXl+@RnZ>zjkkEFG#0$tJi!!*|&WIK)0y2f$pR1u*u
zUzvuVDR#uwxfEmEh5s(If0E4Hx~{9R;k>b_VB0MKgl>6&I{_GE^e?FYNn24<oxcTz
zH#UvjK3Z(dAsH&*JIPm~7z~m8y~CeD$lZ8oNnO7}jff1`wq?ZvlGoavy2pt-u}}!T
z#eAieE{}XV7RK`KH|sQ(=%|2R`?MgJ@GGy!+u1e!zgET(x_U`K$^Kat$@qktQ7N;+
zFJ&8fv5%*@TpI#esdJK2W9;E$;49iXo8`w2o*nGp`%Zkm)XcoBlRoId=YTzfG(hlk
z8pl$>l4n^b@hr<yK1~r*W6ZX)`Jqm$HBHu*Qh)mJYlN;P^GO3Rr(wQ-SS^BIojLP0
z>@#cgu7vzWBh3jeHIYI`z8)jBDl>|CT*!1OfH6vBb5XRicvV}i59aPqaq6^CB^O(?
z>V_M4spRQ#+t@jpdrrTk6#w}U=5LvMVD|+U<patH{}Q1qk>tH>(7OL>^KzuANp{mU
zmGBd_J?q~YF6nmJgPAi`>^c{!0-nMryXkSNIzve`y1l(DAu9R+FFltF3Yn+?uQplD
zD034>mgp7!7T@f7;@UdhWgCFZO0oY>O@tKc++!H}a_fI$C3!$5xYGn_AZ@BB`-KiL
zaM3~v^6&(b%><R?PkBi8*1^Uy8wAigS_n6-3ssrduAcjOkdpvDeW|&Ub!>%T@!-tS
zN(Y2WwBw(%L~`?_H`_6`O(_$Ec!D5BHc}Hqozte6@gvG4W{Be$quw2ZTmauvgw;rx
z<0AsUz%0+r6;nROWq%Gfq&t#F`Y!gJi^l|fLVGbpN>6qhP7wLpxVDQF!c*I{^bHuk
z{Qq*UDVJ+H>xq82vJsw}E{t3mX;Iq#J@rU$>2^4k+Z(c(Q*v^NGLyYMiLhh5sv>!w
z>cAiUibn@t=ER5^z2oPMQmW=wyb1!vvWZXlhuUY|Y{G57h`NYtkuv1%wfFYDa*I2V
zV~vn3B(WV{<>$R|xMM#eO5vGccR;Gp$|)mdsx#poAf~hwDv5})Bvh~U6nDd~h~O}U
z2#;)5Ye$<)e$RVP249iuoxE;)1ujrNpVvCH2doKwo3`-)vp{cObdU7U)yEl`iRiK5
zbx1k|98WE6{qV^uT=K#KWWT}zDX?>?JBDhEr^O~WOy88nR`H||uYNF>cySR23g^d1
zNzy_64ijh8W#&=x(%Ka+#kBAZfT`jVgqL7*wC<HZ8{at)i;c4{L?1|f{UUHBKuz-1
z783HSDRld{Yus<;WpfDTCh@0Z<F7yYWE`abnk)&}zk8)=z_drVnX3?beyF)jnqRRz
zCY|o>yuk|8ZDu|IR1MSoXZLdywPw1YTa3OG7JC!&`IkoBND-6o?x}*q?(sni)I{_o
zovdl*w>%!4d_-}r)a$wIInsHrBS|)M+3ltAX>fB!H~tz>3%5J59z0Csf)Ig$qhnzu
zc+t2AGE$0rX-)xQhRZB$0L!Fv@S<@{o8?jUZrLed)o=;Q;0GV$gg}hzq$<K@OMm)H
zsk%0y*!xrGTIgYCJAWdp>gmxAKaVb7xh)TDB?bT#3IL!u+5WR}dYNBg9T8u9yf!S`
zb1HtJL}giG-&maQpIG7@Vy|PBoW&!G`gGF5xHK9Z^h>UIZD|2RmGzSFHJ8Jdu&*?k
z($kiKa#fA#)C1w=1u1y=tDEc3qZ{-#acQ6UY3<?&@%Ah_v^b0R96VcP>C55P@7LnK
znP+ZKGHev4Nf5ikzsDV{4F5SAiIuOS$z>shV#9ay4W~KO$xAt7Zp<!%BYXrXVhkge
z|9ZhmhW7UMIX<W%#v^V_>4D8?^Uc-G%^J6n-Q?2J11)r!rK`og-FwxhamD#ogKUd<
zG(YWI-`3v3t-JlXa{_`YnJJMiEK6>hLdZ9_fAB)Go7+Zl*K~&{Enb1^Fg=ntm*6#4
z?iMGO)n0R%$YqRqW`d%V=O(YJCM<96SJlhs&gWj8WsK3srdDV5Y!qIcKB&4S5mS9&
z*StFzT^fr5Wy4{i^i-`@d%?BMdQ}Kwyl1bT7Str@%Kmqb&%epH7e}okH%*C_M*~%O
zQ7D(hkWh8}$vuF9v+k*%8iWH@A_#Bw>oNG}L6HrQ?hFO$_SDSPoKf~tr_aksS5-)V
z;l{=WQMqCJqGs6)wCupgdbRD2vZ`q_Onb$3EAm-t4gAk#V`c`;hVyZLA8ky3cGP@T
z<v3DLnZ(!;Nc;4PC7Rz-lh#NA;wDu?(Q;*3%*|uiU0yKpM%|q=f1xyC_ZMI2S1u#5
zT0?wX=sP1Rh;DNbmo$lHou0JUd+L4UI<u{Z1@(69=cgR$R_b16-0)Vj)b^#<js`}w
z7Uw*JG>65Stph{`A%2*e(s2TD^u;J~T<=Cr>WB2BwrYu&^>}2v^F<c>H?8o+=ROrD
z<*2<Db8zD_N|RIKI*`kwxRzH}VGA*QH?&N3ym)HSB49Y+#e*8dU#qh$JOs2|y8$}?
z;91hI|EphS{g}bwQ8Asz;63${pN^DaQ7Md{ppTu?^|YZIO&NS#pDZiVF;KKWW)=50
z<nuP<L*Dp=*Ja1z$2tsp`Y#a7x8&05Sfe?CxEeztD2o#qJ<h#?*KtqG^;9-a#N;wo
znxM3>>pJ1$n(99%`b&h@)c^6|W(7K9EteD7bgUKZ!%F6g;%3M4sLQy}S22WJ(m3i3
zF+zh%@H!fk1}x4gRPyyuB?DWNB%RPJG$ki<AaA$P;)6kipJEE-@-V^O=4!H@VQAE`
ztx*%_RkhCDJc+l$M{jRGPN7@#n3e!00K$KDH$xX=wRR;5t75(7=8Ej*Z1Sc;Xr{<A
zBGr1UH!>N14*s7B#xA|3Lx<Trgx&Latg8Kbk$~Zxg8Cc-=k9NRf4_-E8fHc*IAv?z
zW65j(<XCwwNRSfN$!wAKGi-gr9b>Xr3KnPzc4?D@ZBw-CRRyJ)G1fT+P+)BS^dL~P
z%x-Q{&-gKFB3FVDnahlN^r^B)yV-S0oA4lyv^ItLB&)~y>SY|Z;Qd2@$71mCZxJO?
zc2tOV^!rUT6xPqP@!vQcaWgZ%y-R4Cuq04Cl<Np7v`G3E(jBt}GQNj|Qumv1@EVEH
zq2=-XIXd$Xzn6N%++T2w)^FU$08O{1Dr9+#A{e{{6DIVm)TRJcWcM#1F7pq}iH0|=
z^m)jUc%5iumvNZZFoqc>3qPSuEi<jQI9ZW5y?O_jU5=zyyZLVt09vSV%?+A45Sj(`
zB<miY>_$X(8oM^SKJb1s6RfE^i9}8jpy!lpdO|xAP?Z}g@KGS*9zXOVrwAc{qN{oN
zY;8?i<v{HGj$K?IKTkEl)hq3A{|Z#IF<eeyHVQE37(mIcF<V#nzPVnz95pJ~<C*5=
z8ad!8M2$c<;T?<;=U!GRiwIiFk5Vd*2nrCN3riA+=QN*Hhv~d-CMF<q&*mqJ@*AQ#
zDI!><Yw}6TKeO3is7tK(N*<dlU^nFej>SI)g<Rn@>sShnh?VVpvurH=Y@#+7CAUZ2
ztF$*o9?8}I`cX8xdL<K%`g{{?&6%ff+ibEHdc?cd#}27;S;uQJThgQR!Wbl$r{VJa
zK(iiiom*$EPsbI}7Ze*SJ{>%XzWv60Qf!k<En`R9_Z!|9{3S^+ur>fWHW+AZEr0pm
z-CbDdg5f_a@5_9WHsHK^FWTa<1eqRsEk`M%DNUe=>$uGxfgYUlW~5}k`ywBn<_Eg~
zzKo8eV~z#MS4cI>w4!L1sT(;Cqf<nm;Q&#utm?P;Z)kGJ_MY&u9vyt`!C4*3zuiB~
zm?a^ExBerJdWZXQ+k)m%3jik|O_(W3v{eMZW`p&@<SR$`kp9)w2E15G_~L^^KnUO;
zwXuK%$uG2T(T@~-;GU^6*OUEV;&`f(!tKguwN2p-@M2+FL&i0s5=@7`u}S{wF>^o+
zf-FJ;Ry$ZF;$PP}Nq7)R**7ePUgE>@ig+_$qOFJjR5w|f*10ToS{zhL-?c~(v&Pbz
zyAfjwqsdad;ay1Ma5?3u(?gBFY9eN;r>VCjmIpD8JbTsV^r@M@QH~d2)(_l%vre6#
zYBP?1W-%`g5+5g$SAL+FwQ=o50AYZ4BYO-uX@Gf>_29MvbsH&hXy>eDUOo<eq%Jdr
z%tH4_XFUF6Q4zB9^nByf+XL66{0@mpF)PhFfgr6R^SmTFM{<(pQxJE000M26v_+77
zO^^+1aIwE~tQsjWgm!l-(!n5zFlnL_DKhj1k@TNfkp^CDe0oSz$fns_3p;>U)jXq6
zjK?-RoWX`1&V27K(?NfM+0A~xly9oyfu<-FV=%E^%1Hi%@Z(As%Oyp`upbJ2lZ=qY
zZWjA)l;o6-IoP831RT~tzy$`qN+X8E{kz4#>_s~(y$q!CcR2gjB5Z`=oP-%_GoLQp
z(h6<5A|kg60B*kO5n)_#ML;u>(sdm^C^(qtt~@Cua|w1j-YY%Vp~CgdSNiI&$(;^r
z_fVVw_8@QZeYuywoGRH?ZDZg-gr+1-%QOYaqAz}!N?DGGcpI#+Xs&E}ZRmup{e&2q
zXE))$b^vvuUt1hlcAI}jU_CQFGdNGLNZcudzKIbkU%bj657O$Tw*?qs_b5ncbH$8Y
zUp#?G#81Zh?mc!1G<yn73_92G?=)jYA*GDvQs3g=b^bBG6I`5n2tHbPu6Jvt@67->
zTfnX%7zpI2UR^Ap`_uJryV+uiwXAoa4#1m|kK6uS+<5M#`Seoc5fK%o75{g)p0CoN
z@hSXd)o?n&CH&@7sd*mZAk$BC9`V3@3Qc&?bfc;yo3#2-u1mPy=5ijpgsazt=7+un
zWs-M6e6MkEMqUhy$2>;xpch*toJPziddr#hUQbxH&~VCA)n_%S7sWW*8Fvg%G<gIt
z4Lgs26CW)ci6(Y%akeS-@Y~`^0m-&ftg%{>SmWDY0jFd=ayMxC(}dSoOu0Wt&IJvn
zr9L&?LjMk!=`OXJc(a9YF!XL#0uHHvrj#pyVN5BIlhU(WB8sXukgt^qhg7zWL+i&+
znxR>Z6yPhR_1qqTWIDUGYthrwzVgGT+>3p88y-CZu?bVe2Gt*r5uIOIYC@Scx~KAE
z>72LDW;Waq6@}IMX$qoLs$5(dFLyNw_Crr@I_7HaT4%;NivZj-1*|2r=<}aE_q(J>
z0ksDwsyncJvxaI>N$`PA@k}uVQ?xi)o`pY`WsK<R-y{KhJVi3v$e8>PeVKcnV6;4A
z+Q4uL;Y&W`yzXM<nv_f%7&khVmM%?{%VA(UGH|-e-h9`LNag<j?nLM^qC1S+w%g=+
ztL($e=Do%l-JEj{m+gL>)x-Y*JZjqvI{BVfI07}`v`MBN_y`3-T4Q_o1#1JQ=i8r>
zg$~2ZtzIg-3i44m$=;(;6l+Q<FTD+}V%m!Tb$2RQ68YMd@)HNwjk<*0>M!Hl*lA-&
zTB}ocu|F!!C=9~w2Z=v`4%1y+q?rQ(^ne*L4-K<^(fd34A{F2~?e!fee<7o`-cMog
z%=5BlB#__lY%!3eb%zIHYY)*F|CR1wxA^qg9@jm*dABTwHNQAlq&1Xb;cQy+pu6GE
z7VT#I;*<yCOmC);!^6C%5h2*Ld$W?C>fe+HKXIjO32-fnX=WjvM1h4fq>O}Spq9f6
zo4e_D6bLeK8cxTbm!wr4nS4V$%?@WP_Ng<obRAC0YdjuI4ssRE7ge%@UKd&Jh3Zpe
z8h0jb+ona`tR|kzxi(L8xali)yCY$q$Rbm|5oQ1dY=_I`1Z<;W?~F4_1ZdhCRGEzw
zVzC}Ud3SGt6cX>SHY?ET;+fgr*db?d`EBMB`CX|*6aQ>60@{^jQ#B7uCKoC_D;n=$
zDR>=;siD!j)I80G2-=OkBl%!_i}HShn+d-=vI#^HxfN4)syiv}RDsv<iRs2>Zt4Nv
zo#&}d@%1;t^d19<8gRGTfBU+x0PVvf<bFt5hXX8}2NUA^Gx{U(I(3#5yqg);Z>DiY
zQ0mV8%WE-GBO7zQ{bf2gD^oYk`PxpqA97asvZdzrBRA%K1V)}x%;YqCcB0AYzLY^t
z?1qYej*dTQmfnUZjMPca@AnU5N4*TJ_$q=WDodX41oEUR6#=QyUhi4Yt4@VUebR*+
z4POiW(n;=4VFE^WS6%iJjFt?U2ofne=`Jm&m+xxECY42wHSgI@T}h0ABUb*{^qt0b
z4<)C;&1{GfRRTf6sf{8ZQ{?q%;9m)S!R@du;Q=XvQcVDS7}|(T-)IyBd@n(ZCc0(m
z?R8dAhIP76bb@axkO}uKQ)_{MaEks5h%XS3T3kV6U45agJmRIQIF4{dsnvL4ueaZ)
zF;WhzIz^C$*p{wo!d)#*OO~3CBfZD2{r?z?Pt^UZ`;L4Hlcth`le9t_lDa_~;&rOB
zo5TW1iezI&IZ0K@IEoUTYakq5d)CR-MDCO+X4RwGG?PqYhcFPl6DEUFzS&f?PUC<n
zAxBXJFrX^uW8%}+#_Y0DJDK`0Wt=LiQ40Q$DD>d@ltMsmyL>mL_ljJAc+<4n@e-ry
zoVZxlARsAN0%UU-uv3<!l141DEac6KY%r9Q$N4#gDNZqNKPIM<(N{=3mN#UuvAOu>
zzNcMh*BYRUhChV2?xLIO@&jo+_dohKTsHEoEuhstO<y5nlDVQ{!^233iTU`Po_Zrm
z#|{q<AD#hi9M*BYXr;}3i<(|gIC^sY;pt=pqH#vcr1$p6Z%KAXl-{6TGg{L<_6W=%
zhc|cB%=-MQ9=sz5he<=`X{G}!Ld-^~7z!6#@?WLih5b1!#qJqj2y8O<oHZ7wnVUKU
zJO?*Stsi&Gfe|vpnaoAOuhh2ZZyJTV_dJvfjk3GnPJI7SA%vF5!5Ez@OA$D+fz7Za
zn3Lymj&n!=kZ^g_<Lp!_`pA<LBezE)rLujie8Koj6B10}V+)0>5}AmhVj(#E${M!0
zW>bBs^c$wbo<IdB^aW0bObspu08Iku<Q)vi`j#}EmVnvvg6w+;UhJWnE-iqC%TV))
z{WSDz^=;Drb!6@yukVm%B8c@yVjV_wwLOA+Hq$pRnNKA8@H$xrre5(z9`T^EpvW&E
z-=+i+ZGo0xWD-LJgO0+J23<D1X0?5jzQJ#NNc>yw@(=CeL`m@58bhoc;WERX64;q=
zdzQo2j*#<1AK^<&N^N3~LG2gk<J+IXSk;v<&fI;%No*Q!`QELHkbo3@MsW{8DfL0l
z+0woKSZswi()orzK=1+rsd693aXnUC$GDiHgOHHna9a>eV6ynZ6sGbt8PUp_c!qyk
zBF9cigp-94Z&*jAKbip$&Ga__!_BaV9<z70d2R0pTL^lJgfHYd*M=X58!^X|q8%^P
zwZ?8A&aW~hAJ@C)MP5R+$8;W70e^^X+nJ2Z&5FxSSbv%CRlxfqBZO5!cJ@<(UVXxN
zoB3bHie!C8uPwXo_uYm6Syv7-Nc#zC=w-a~zulxr|5w)@bM(HjkI-HGuNv$a*Y}Zg
zf5EZy2SX{NT)?)2@vUx-91qLs?QoY~6;<NLgDLj1?|FXP3ctQO@oCi(Npd!))8kb|
zW9F;|zjo@tCi#O+vT$X|h#E^5LjYZ<Wf73p{+kiVd=gdL)T%Oj%}Nvt^RI-jNnOgr
zmRwqt%#=%QItx^mWa+cyM}K0eqfr9-xt1g|$<W$Rjy|xRbDr%t?1TEySiCzGlHh3?
z5$Sk6p3k~JD`+0eBdFyO+hlvVkzSO&Z|1Ewls@Ev2?Kgo><L|n!hi+*3%I+O%>dSX
z`0Zbkw(t_OsbA}Y_Br|fO~jjghk@xc$1|rsEKCW2GVD%=u4x5BGa;RHYzzM5+RZCJ
zK0y<L(9^(<J}RwCzUJ;aeYkNu;-w<>s;cAns=iHwF_;jrn+DPWM!>IU=eFaTTLZ7{
zsV1<cx7z=3*?dOFH~|IKIsE}+<(2jiLb@A9LOG^P$LdgmFasC&0V0fNh)B}l%AIcc
zrvk|qXMgy;3Tu&$#3vi}kNEV+gK>nLQ<M+W!atB3g&i%~(mBik_vxFV%}U*x^4I^=
zWALu+SOe=ytzBSYNgTa-UXWJb_@EAB+0S=(2sPFwdp$pMi2P-Aofxy7>MUkAX2vhH
z`+~4v9fMwH4oOH72Ug=a-pUmt9+Ar7o6;qLD00b2g2s39&GL%OrZS86N&yMQQ_b1t
zC4YA^8{3t%)JZ;GWvtCmvTO(2<#2|5F{c7i*GpXPBizB1HRJaopF6G(r;Mx-3Fgza
zEqfm%;;7Qii}@|+eWmzmlV$TjjLGUOFQV5c!lRY7%$K(?x4Ff}X6Ph+yNNQJ?{YqF
z<-PbDIR(>?H0w;}IsURN{uFkUsv6Ub&=BounpbDO{o;OLze(Eox>sE9L&Vg@S^dS*
zGY#Vm<A$A#=G?O{`dY7tf#<#zyN78xFFZxFR~Bk-7Okq<MMgMb-g6fsSf7<7N(4ba
z@nT{uoC~C$mq7fFG$8jCnWNT14$~{38`EMb`zJy6rqo{U;E_GoOoh924D4KCjmNl#
z;{h71Uh6218o2<;=K#TtV7}9Z!5Tg8&)3dZ?|LemkC#$0H^(baVipc_7oOy5;jiB7
zRrx9RxV<2D2pyF~7$A`8`r!c&9u7hEA1KdGwHiPV&YzmGas@uMe#Z1~Dd+jtx*x49
z$xI;d)wb}dRe9W<z+QE4la&>ekxn7&*(4@gf_%=uc=0M1ZA3t$XxtR9P${4ZXeOxr
zi}B?yC8e6d3BfN4>zov}1s|_<33Vj^1{4ZBfMrThgKAhyd%zOyzS4!k`_f~<i+}gt
z=SJp(HSix+13x@o`nxIZ7y8AakDQW8k_2y+B|-!Ff?H6`sgDI(k1_w~?y_Ph6*e<Y
zU)rP##hM6g|Fi?UdTa5Rj_h=wH%p)vGE8V878yEzzZKV%FFC3|ivr^5u{ZiQkaDy1
zFl#^V7BQ_*Srs04`~W?Umdaa3H^Wg?hb6W!CqSua5q+%s8vTD>0Jy~&yiLo=fRZzI
z-iav}hvR-8s%iabaPg>^4gHW-xWtMR4BDXHiMo9kCL~K%mGC>qtK;nxJyw?9%QPUk
z1CNf4y#H$CI?L{|B`BKzzPo7cQ)|*@yOM_fyU8j22&2w<p2)wgTDgk#qXj_a;aO=k
zYek;tS;o!oU9{}__9he}ho5(lqdL}t)@TyndhGtS=j&`20-y?|InjpY_*}G&!jmI@
z!FeYgPl($iSB7(th!ZBk&bK`yE6djgjoT512Ywcz!>MnDB5N>l&QOlTM@Pd@F6}1<
zR)tp6yCk-EtP)dNd(#wS;jJSwvjiO<{;m$3#bC{@WGj9gp2L9{;5XoiTX9k$l}XkU
zG^p=3NYf<P6t~JdfGV^j+QK}p$qYN<0rSETK=tarvi5gjQFj~NJpsWQB73BH?<Nt|
z6|S8P?&OTF%2}GF*AAbVP6W72BA<Xql`8~=lGGcF2G(coJ{?F;aV30Jk&p~?7oMg#
z>|Z6w4v@gK7a`4hua=4aaCkh{TV9K(EnwzRuO)3tFG-IWu=p*&#3s!DhI-Vfe8*UM
zM_m-|%176)_6snW!zC9H^ftL{_Q!7)XLN15<AewC?6K=`+0<8-dw*DuM`2;^(SLIq
z@_0&P=;bO;=i|}Y8?!+;si|m0uv|W_cm4~z$vN^drrh)P>)8w?-l~llomt(Sje1ZQ
z@Ng+0<!1B&bFFXL$g~sRep|FA*9aO<-|}d<Vr}WsrpPedL<B5NU^q<gbV<JUBZ3zN
z(AJy^8{a#{*nQN!C07T;Fs^A9ykv|o@q}sj>^K=iE=P^vuCjm@lSmRV#tD@pe?F|V
zAb97^998LbCt5|RLAGZzET%*bQpC65*&w^9ry@i56)pRT%n<9o2kSU-iO9bEz|Wb!
ztC6}E8Bsx^zFY?zn>yN1T1mm#(f>o!SB7QLwO!K)NJ(5sH%Ll%cXyX`cQ;CRcZYO$
zqjYz7gLHR%!~MLU|2*`Vx%TWmXRNi(HR(p5s{BmQDr5ub&J>VnorAGxz9f+s(VDRe
zdEYRnT9(7%kUE^3RzI_pl5`0fPppl&=mHzm0@MKqM9&U&lA$|eYmdccZJU_1X|IFI
zBb<~UBx%#x^P(-~3yi;zSY|RUKh}+GmS0w9%a9f-zdS)0wHY-H$Bedq<6`$W$o15r
zC=(1EBG3d+He&U+UBYZ3O_7u|;Tg<rmbk0x`y*5KcHhgg9N@HSuKEtx@1-5oR2*Y$
z@2<J=`Jp61dLok9-ng0hER921%CXmLZq;ZLt!NyO_CUmub26be9v%e>qM{C^=~=j3
z(!us&g^3t>P&sADDe<G6OKrMr-@vc2-dN(UH@QB_0x^{a4JduN4bj@m7G14R<I3od
zb?SHjZoC}F2GYHLxN%UQPj*(|=Wu6mo@X|u>Blw6|MCJK!>*K=hN2~wpr&p@soBh~
z1s<sk$@t$th2=Ct2RY4-8tIUr{NG;~<8$%|WqW7PhFQ6<;2&NFk}qcfLJ6Kd#xA8x
z?cvj&WfdyH8u_*de+;QWLs)&98BzV_B(uP5J})9@*eG|j#{E(agIq44jYnf`uz;nB
z8>{v+OSW;MIb}yYa}PB4Ez$Z8-tdg@Zq;pVGLqxQsh;|}<Ht+*7wB$%7opA{51(A`
zmGa)}SKMsTnt+q2nmw$(`}osT>Fg0V6yyc8l~^Ml$hVp)H`ZDwRXQxQF$-CplL6L$
z_pAaG5$C?v>mqh>g0Ph-QQ)>a<U2Q2jf;wE*)+T5EPyZ`R^)KNN7?ptJ3aAU-ur?|
z<?e;eSy?2Jf`t-nqO%rzC;azcmw{OwrsV1F^`r({ZJlhZA1jV{+X~kgY&}sVmDI8>
z{Pi=4(7XwA_Xq1)t*!wf*KwN1B|w6)X9~Pqj*S8DUXC+uj&XA56f)FB9Rdq2yvo1=
z_fKACK*bRpBJYqgiOi{Z4;E?sby58-^6_lu_rDGY$7Pi2=lJv3XYsXSf=+@i4fR7a
z*b8Q%y>VjSA}6{0obHJpiG>-6*}t9NXtQeToXG)6huSdt;LZD83po-)d0J0INI+DA
zXWP42NjFopH&8RO)oiaxLlJ>x;@j<*FZpxHcOE3Bc>VVlZs1}c*Oi%MLNTz<KyW6-
zkjH@SqU(DpNC>`nTpFp=Zgm8L5jEf&!Qo2dfA8gJKtAtPbMOu1>^Ky(otN%?#TQ+*
zDe(1U=W=S#zrxGo%L<1IV%oyb{gcmDgTo6ojmPNbSB)2aXplFWGC{8(=VZZ`%uQ^~
zZDX4i7V6$)yV8hUr!!N|<%Bes>Q$J&iYdC<q}~iyZTt&l6WrzZ;9(hGsy*0q#hbPs
z|E;_<b`WC+wsV2H!ITx_9ExvddRg|FoDFX8F4S@{u>us&YYhGPsSHMFoIF=;!k<y}
zWvhVZDu`cbd%v4^y9&5(7I^7iU^Y5$w~RSSfOoYWXrD1mzP2Bf$gFV;<AjH=e-tb%
z`HYyB##VKu7FdIgKP(`KRu@E*S|-Q0$FN0<wF;R1<%rT(=gvC6FOH=(L*qr#K@}_p
z-XIbxAoUUvZ^O{H04Pf9Xf}YTs!r-P)YsmBE$u7HorV76$(%Vt)#K=(Gr)Q~Y4Iy=
zF7m_;_mA;N)JptkNDzOg-4$;E$;xOSQCYb>1Spq|yXw;~P7xo)>8Dq1UI&tSrCzK$
z3qVayJwX1UPQ!BKWfwIbHLtnDRH-U}ODl{aADneNWIe&~YV1WEvq;Wd4iPMyDYh8=
zad@P$S;2{|*lVv|t4f*c{faUGWM(>1c?ux)xEDA60iueDGv~`x)zMZ>-2IbfG1XB|
zfY5Y6YUp?OO_sJmc3ir0<7G4$Uc~q><AF3aN9cr;P2k!GA`PP_ibimV%saR@w(ujN
zI;sv7<74xZ!R!=A?^P>}j{S&8U71o<E6pzy0|3Mfkg9bMRv*M6@FGUrzVy83)lQV$
zJGYB1f9*gU5Nd(RHp%o8;;D-_!$OzJ#|&!XxwcFk8;P=u8sA4(JQU3PgaJxZ?`0q)
zZYJK-N7in_1*Rko$3uIbee^7+M2dY7q2tgiWO|&6cd%@DEkBd$8}O4#bJu61!KMC)
z^q^$Xpb^Z_+Z^LGsA@hD9mGFALg?ZOzOm(Z2&_(nh%U~Nl`MS<r;F+w#^~vxc5(rp
z%Rk_ej|^H|q+#sz%#jQro<HQy*nY*^^0$3>k;IJ$PR#Y}mNyx6eLEAzt*jQJ(G@$o
zq<98`(7XxH?7YhFOgI7TRt%{O|6-oef7(~%j!T~z=|=>huE>gI1<LSsDYkC&h!xk}
z+r$*9Jgr`gA~bOD*I#40m0EUNO`F+U!<7wzI6VfVNki14ox*OXFi4ID$Cn-{k31~`
zCSDhnXO<f<s%Ns=D1MSC2%ZUHF(;3s$dYg<P@9MyFn(RFqPRA;d0~y+;FD&%VeU*E
z$xs#zY=iU(LYM|av~+_!b9D27ndS};TSr@Rmq&*)BcK|+t*m8J)O}GL?(>eT7xu=k
zMFeC!vCE^{Goed=Et4+6GBhWo4{C|`ukj;m$!sNli85>xC&*(9s-R|zGP0j|Q}c{N
zHreV{Mq2|h<me|?=PuE}=H!G_+DnNCJt-}-))kImp`RLhG_!>~r85nVZ1-(-^XqLb
zQ@_cc6SJ1h$?9qkHsds@gIVb&e@M5(7LAq+^D#6jl5j?;Zwu+?<IRg;@i@KhH?H#M
z`v0{YNhvZPo1|h7QROi|F9I|~Q`p&UuH6hX)$eSP9FC0K++G!qXNZ3gek!Y++l_Y^
z-k+^yYm~Bm#mD!lbv$GJQN3hk)3FmZa2xC`5;aw>lHHmKKd#rh6Tr{69!|`UU2FZ!
z7H9=Sk(&XjVO_g4q?6iqz5=;+xZ5PoQ;e)-lG@H#4Xzw>SKBO#SD`k=j2gOB0K8$w
zCse@f1UuaR3owIFE)#tB+R~lv_-~x8h5Z#$QJAGy1T`2PKBhiri9fwTzDohlnS|*0
zsB;p!KB_hLnqVXe2d!`L4`xW-MPVc-bLp0;=ZZG|kcfQQfkga*B>H&)_luU#_0)UM
zU;m0kc9H!Ip#PdD2fCF|K$=^Z2bJ4~LhC`jf8r})h##G9)B24K@CI4nXwnk4$x2IG
zR;Iyh3LCUhdA&J2JOs=!8jiW1f}O`$7J5lYNV@hip0O{W2=CRaH2xVfANRgKvzZx>
zmc#_jLhz|&vzZIV5uT2Bn@g&i(Y#bH8J_;MF@>o@j&BPIcxscaE#I`_imi?ek6{ls
zisnF#y}D@nhD=87Nj%yD;N|5A_vf!9zGgI6r37N1q+I9n$6$_l(#QvQ*)=nf8i-bi
z=IE7i*0Pn^zI>`uKtw}RShc^Tecn)nB2Jd!7hbC5UM|jSpwc`NbZ}QTisyV(x<5>E
zWqPRnxyQ$_uMJE&&qD*H5|@!i91!lq0L}TXtsfEUQjO>RnVb{%ZEkFAEMlq0H89cO
zO>i+^xAZ=q$(2n=Y{*YT+?7-6>(YsruMvzC*#}Qw$o&F$pak@0<WVGj)7tT&s$97_
zhA{~GD4vRUHuDwgg0A`{tb!Q9?4bTJa|op!vobg%Lvs+(_GI~8RdG-)B9&f#?Y%j*
z1JWo5P=S||NE&a900j^?g4zR(84WMuF%i15)^{H8M;P&dIR3hy3AI%zr^|<@Ry9`L
zn+XHc=+o$-JLU66ivZiVT`6pj=~$P-%M&W9QE^K;R5lnLPChXOfSWBZ1DQ+*+eWE-
z|J~(-EU2Rv2bM31h=|C8+6>NK3#^`NpARtP*bq|3zH3|1ab4@Lb4Nyf%n0%NVPSC;
zYMyq+K@dGvu9cm~xX-PLdY)Jis9H2tV&7Y&pQD-nlQb1)HjA-ED(Rn;+qh@F0xT-2
z-Y2Q8egY9K8Pc$vHe^;^u=J)sg$P0mTZ(dKPvo*t-c);;|Aw>S>pnny=YO4YtG^RF
zI3l<81nbVYi1mqyWCZ`EnIKM+&Wgxs>2m-&N^3$(kEKeSR2OcT*|K7=N8;t;T#BgN
zG4d~clQXb5tUdd*gZ&7xorvOUuEiYx;xBY%W8{UeN*Gf;W2mb-tVAZFHB^D+w|)>a
z(CHs+m<m-`p5EYDXS5Qh#9!K`)oCaj$iai_DxUOvyK$b6aA3=0xA{kdRzNQlIP0sq
z-u|78`^qdB*@DyXBa2?D*{+SBtBhENIh~oc(O{XBa{p@9P=C&%h$dMl(c!7S{B^+;
zR`=VQV-O>!4fMoD)M79QhUr|%UH&<WRqaXnzxuG;@_zNMsIzv#{L30PXC0R?*~l4u
zJZu{ClqRjz`|y$AIDIIjqtvf>OwDwYMvnbiI4A;x;~<1sMOQa%?G)|7z1%Y7e;X0I
z@LPGAjUy-QC<_$kmE9QhuYDNYOeSA}bakB8r*qA|_%RnzE(_7l+4jCPW91447-V>-
zSz|f_gI{Z|tW_iBgACY^{KhnQ!TofK%4Axyg%XVs6|X8%TwRX;R?h`fR;`s$K>{VP
z<O4mtt)4x8u8j&>Vmcdl0X2@3Y<|7&D4<rP_<c%bPq#Pvsy{_+)Br!l0Cs=w6UaI}
z0xiQ*Z#2<uSgc0ZU|yf-<YYb3nA(B5ZJHJk3O$G7T0|k_etYIqP}Y=h8Z)}KY|j=}
z+nf$ya(;5LlQc@bVz#b(xtJ?1XWOM^@YF6gqly5l`S}Cf?Im{`b2q+gYZBfVv0Q)r
zC1T6gIbwmE=6nh`@0>$EfeG(k7_5X2vVki*KLfHY0@}tk2X({&v-ymC<vWh5v$DL>
z0(13FR(D)$mhRfxC2(8TUovPZ8T@5Rln}2tld6z1TH>83Fl}|5wL~UN6wCf5aQ^F*
z!`Pa=At8gC{d@*?i^Htt;AOxRXOJPYW$)Aq^5d|2dE8qoWf)Z)OZjX8bo_w+QSYjv
z{yBImVyb339GP7l6g-*TFAMlU#X)=oE!vCz)6mFr1$jBX?Yzks#wZ0)pn7GPB)Sx7
z7wu5I1ta?lB22JPw3Lf>D^NVqB+jACsP-_Vv2<@&x__QG8p}|_&m2nIE<WKq4Jy4b
zJa0{Se-46G-K>t_I9D#4lc8%9OeY=c{df>?nIoDf;FxPJCA0$!yayZ;?s@k<e{CxC
z-k%l_8Z;xB8(Qj}&o8oy-2JZXh<PLHHISW$@~|8<96#OahicA8$T)Buu6?qPkd_N<
zS*^t9wBQ~+)nk$VEQEE)$<~Bkxrlg6wTmF$=sPtl;lAiuAZu*9Fq{EZHw!3_hPNxX
zCQogzSDM}#2I$@pX1jE26MG71>yKhRXqmer@+LERBzmBmBAjmdT?rhv_2qw_Wx3l<
zwv4imxzK5>jwK<3q;h>c)Z_-qEoUc50S(MkoCI;fKQxiGsyL|)%Dt`Vr`~r~<dZI6
zGTB%TPfS-ifPDcDN_Y*NuA}ZH@5|K6<IULab|Bg)L6+53s%<nR&~M>j)ggrpT50On
zsB72H7nRO0-_J0g8bHIgkJv|;r@g^dJLVo_-4sw<j@kOe4-E~~as8;fQ|>niWZcX3
zBvVlUf<i`m0+|u7867eXouA8{z_c(aeEi>QXW6sXPZ=2*CnyIo%z>h`Mogb_e&rG8
zk<lW%Q$5o`o<QtT8QR|iMqr3wu*i*@n{w3c0!^n6^b}`Qghq+K|7klC#D2HlWHE}k
zMGo-T=S4(=w8!;9rr+O{fZ<aUtL;#P5F8CcNiL$`H*yilA(pQq0X)HEGa578o>X?7
z;~Ysi*{@u*PjyzWhcKSmEbs}!+dee!z;ug=0PA1NajA3<huyqD3b$k0Hcj)0d)++B
z^0U%~V}y#|93pX~SBqM-nZ}&`$f1LO1GCsYZVo5dup^=C@J3rzb89F58RzTS(|L!L
z!pjPhYzrc5W)ESD7>&&@8{=+=v<RHFOT!Gpw9<L%+^yb_YNii)Xf>B>3oVMykj{!<
zmx#MR_#ne2)<B!Yj6Du-pOpX!!9AhpIeU{H{~z%Ig)p<%!VR_oUDy}8YKh%_a*TFl
z{ra`F*95Ze;cs}G;AvykxEyfK6n%X}T9GItJ*2^6IL^XD7NVklu6f#EZ@zK+zRFFf
zUa-MM8?dGeKSpT&Z}s~hBB7=Kf}$YtwEL3J6!9Igq6Iyy<G4!lbMt=3eH_8gUw>FW
zx3nVP&(+{n8jId-b+w2jp=Q|TBSM@UD>;H?O5(X?`8R^ke0Y$$b1k7i>?!!z>~XDG
zQBdp4ki+_7wy5c(9~xoX8qAr^iFhL$+Gmt3JF<h%A1*OC5%#%$*t-e<IjIDHRSDX`
zqi+&9+?4=M>GP5Wtc=iS>-iqqupVJ>JBLx7Vn{FM=jwUO@9xA_8k7Ph)WF<A>RMzy
zwtQLMm}ZKTd^9_#5h2wa^(dQ8cAa?d%=CFRN^f85nU?m78}Ly0?=FD4xO^xLNCJ|8
z3c_vRwX?5LD$Xd!u&rc|w^Fuj3kyKMm(Y%LYt9u_5}8Gq5jEPFW^%oRk^+T}<h-p9
zel*EI6_R%YBh~^NFa>2?W!{(*bJXG67Y{%>GWcfMT}b@<&^f_%c{)Mm2TO1LoLz(o
zUW@65n6pVM$W441G+3JoAv055zu;+ylsSf}MOagV=Sh}cZpKn40rNA<=Wqq=(I8~w
zH04;^jCi&S)dNOwOdM4iLlcn_JysByeJS23jLNLsdrLW8u{Q2=H~RlKscCMj{J*Uv
zcz+n6@cRa)vevlhqJYi=&M(~QHbUD}en>iP!7f^7<Ly73a$T`6ggsvw*xI5LA5)J4
z3Y1<~!cH;ziZpHCHOGJ45R*9>KgZ&T=RCachy*0=M+k8!cH!Bf&FZ4|na+#M0aYPs
zt&a?nDuyHtpaW&eH-UtlE1`IZnX5$<e<eb4B`j?eb1QTfYw(mr^c}cY&(9DuH!`*C
zeDYp7zc~x3>A8T@)2Pj-nins`Xn&@InGlhz_ZOq{Sewp<a%}wnm;V~xcAO;hA+kOy
zAimNEQ}I5_!zuCM^Sgg@lIlnr`B+dE&qHX1=2yosDTQcq87BvB=3@E4<(t*U>smq+
zwK|m|a1p6B$F(pyEe-k=v2*^x3yftlg5J<OdHlOSg}>jcP2kFdQW~*=4o585hA$_v
zLpIPiqeFCGsa`{DAR1gFNzK~ijAdB?vNrRlYE`gkN{g2|M$KYhy)4A^n*T2RQdk&n
zFUKrL{rV@+bp~NUGUpVZsof!Hsd48StG%$fp5kvt;Qyto+rjO#RsgE}C_qC8vyEN#
zMj(_V+18wtklaKXPoGsUCQUwaXwY!hqFTRhPO;>&U_534oMw8ECan=$fyOn<zrpR>
zu*S3yNAXUq+OH<r+R}I0xFnB)gIO`3zF|&L28V<s1QQtB8BNKq?yqVfGFY?V=4%Wf
zMRp9fb>|e{7b6=x#9^i}6G==Sq0b)ltwqhDDQ3gPBlMk>V{&FpKY9!NG67sh2McM%
zUHNt$HoLzVVaOjy=AE5xZ%2o^5ZLW)=^d2ffoL}17^02;{}BWTSeyTqSc-toePzKf
z8hi!tGpb5`f0@b`vxOqwyuUwLx;}h42o4HrjEacxGInyhsXVT1v)Orci|8-Uk#jT~
zb+1xsS5p>(4EuLE$)L{3=(@7hCPDrA*N&H%QX`Y?dc`9|8e#&A-mi5;@eD}tB3@9f
zd-g4w)Wg>?*Fm7#lG<F4R`D{{D=6ud@owboMoYUakSIn?HL`bQRVvrPEc!~01s@nS
zFhO%BS%Y;XKwe=dP}v4rs{T3@NG=d}Dwg4AM`ZtE<vcYZKC(7!+(WNEtn_0%1JKAN
z`Sq<i6Y(y<R-di9UB_SAT=LOmbxY{9jD7o(otfR+k&3hKZg5HK9F+BN|5&zAWk#W5
zsHzx8%GPVoU0CWVCMM>}eVsb-as&7fXan}0)uo-F2mTs$uMxp2Kz_jTN9jNLf#fFr
zM3W)2Ngv+&LIv1f>}-i^TKx|X2y={Fb$DY8<(?mNMO&SY0qDU@*{jedmbYOG)yfr3
zuzfwV>}lkmh(GH-;LpXnDlHirHeLsO{P02VXCIxVTg*nh_O(#oP(jMr`1&6f#7^et
zM{p}9#tyTVW@g`_2AGDx0<ccC&C36IQ<k9}=>K5Ka3gK6Vpp#7NHE_nSaghS#Ks|&
zv7P^$$v2SO0h@G#o5J*ABR~cOSeZI{1nPgzY_`A2^teu;D)*H63NI}n_)9izoQM&!
zq^qbJ3ZqL3v%%hs$)YDx66<~6-})<c+A2GM6A<)MkH_s|^KE^79sL2yZY+z(^DR~6
zmuws<LDbH}Ex(X3Z|x*&PfyPR$HARZm+0xh_2Wwq(2nEt3um<f{hO~|lp*teM#)Ji
zw~(zt3|~zBH%+Nr1q8%JV$giTZw*6u?+pL7Mi(@M0V|Lp5Pv#?Jml2d_EEfq-506P
z%9QW8z5nqRZ~#U^ks6Y1+`%pLwjOU}m8LuTBHAHkGP6bE9oTe1B1_4n*?F;+2VR+f
z-wp;$MU?l+u_x`eD$6LOZE{dV%;JJ1f|u)KCXy!)OSaQ}E7f${;%ztFH@;*;U1I_1
zr!Il!tWw4F(z-XJ0XQwt-A&o9B79oUR|q!K(uv-BJ_#UgmOt^0F7&Ns_dfdqjkd>o
zM<X7fwSC*S+YnxRDT&Ve;h!Q+kAJ%Gwzl6O=zXrXCHe^7x)oZlVxxF>eu=#Mw%l$I
z6lN8_9o99`w2qzXc_)zU$oRZG)9K!H@V-{qcltO5E%3e*J4|)gt?9M;hSB4u?LM7q
z9n#Z!MQ%Sxhey9Y_v8SUNt+XI*Lk*P5gJlw;B>I-pW2Uc3Bom`V5+Rc_8s|E{TBk4
z_31`B$3VHZhOA~fqb2@2CWS(4Ot<1SI8Uqr130;lfo5UT<6ajbYTQR95t(O^5gNd_
z;n?(Y<BqHFs;#qXUut-!pr-*pt2G=NRCEc+T_GH<?<X0h-CyBc28{tU4Pw#!%Yv;>
zlgrH8GZ$}Z9d)1bG;fEG*|}XtzIYoL;?n~qoVmuT4ik;u4elX*pViqAz1zxcCf7o+
z=?8i(8+<luX<SA5An(tXU>2hd!WPkY*YGr7`h}UY3T-yqeVmb#3Ayj3Z*zS2OjI0j
z)vkztr+w$&@cY>hfRwY?+uxfSrZGJCVj9)N>eaXcq;&Naa}@aeGoAZ&MbaCpXVtX_
zWsgY%2G9YPMJg#aN&*HXdCi}U_UgIRczvwRP-`v0TL%nJOJTY$eEw*=0kD??EwLju
z?D<!oWL#e4*WTyq-Ez(~2CTFCi`~lkV?gIAP)8VO;KnJVzYSH2pZIATD->btQ5!te
z&`y?=3S9_|l}>Yh!U}*A&yo^`7xzjX$kvPgoH#S6{3#mDV`%EQ9E$&3Ogxurr$DR6
z%|Sy!%YI22SHEwOe-H+YrnY!BgDtG{hRK6|?nuNH2Cr^L0hWSMQpr!B0b#~)ZF3vu
ze~}#cODbpm0f%ybhM-_to;kKf{9KuasEwx|mv0V29myVZU@F{27_m4VtUaC6H+)}o
z8Eo-RunzCRKPFg<pCHp?BhzzzN#a;M(LSIq|Ibm(YA@WtRUNpvU83>VL6*G}pGxaG
zXfT+q|L(%cMm1&HH#x@roNQ;5=tgSw++WXM5~PR<OvHMGm}c{{T7|%=b>p%FpKb#G
z=48C*Fdc<~BP)MT5*OYn;eJ40F{uIUIDqrGs?_~A%-WwaP*%%Ulvs1Fa2w`P++RBN
z|Fr<(Xii7M#U-A@{2&tw*L3|aYF=T*L7JUBuS5uLSHi^&S|>s4k>Z``Fny)DL8)pX
z4wFn^JUHD2)qchMf~@CEx(!zp-2j5W#AA4VlUS4C;Z0eNKi`62383~bP?!;I>pi{p
z^|~Y5mY`jPt$)lSMNvfSBx@a$Y+x;3De`7|<!If89j`>H19;xb!Yd8L;Sj!p?hkas
z3%Z>z6urQeQ~TCbhW^KF7><vFN=_WZW))Q8piIcO9`ensIcfN=;Yexgb&(;rLk-PX
zHOj`v5VcLo<+BBA5L!LB`iGZ#tHsTvx1g-&V@(oULXAXFVy}z|3b`{f;+a0gBGkVb
z8&%M}WBu~J(3Q`X9bN_tomjJW_f<3hRK){y7dz28k(%nd+LQr90gWZqalb0FP+V82
zqdT%Iyz$BLxMxjbJUkOc=Vf$B(^uqUKG{#X#IAzY8gn;xhAru}|Dgf48B&1j2$dr_
z?FH~I0{d=2Wk?21c`i*Rkx_`RiHHJvQm*Gh@kE529}Ltq03LoBP?UHe4&jr?q~csk
z7R&78axx({l(amVZpV0m-}0WQVO*L681lq!DBo^xSLb6!1~MRcq(hE)&4(RmOn&1-
zy_dZFcI4e`M?OPA5ogSxCY&Sx>n)Oq4iaEy0ZB!g>unI(AO26vyy?OyDXE_|%#7Ni
zaKDIb{mL*&wKzfroGOGfj%Rw`!$=wPlA}7)o?YJu;Ir_6yLe!_sv)Lt>PWJ^?4eyO
z*BxGWlR4@wek`r7Q29>OW69Z94*i`inV9O^>2J$zC=9p;$7_+pGk?m@J@p!heBnAF
zwsL1C`Np7HmsD<~NDr*<uDAR(0m2;ov7~VRyPAmBs<F%%Pq02J&q2Pa!zq!sfQn{f
zYenyOa>p*n{;?-VL7nborDEZrw#~u4zKm^_4m6<Mk^uvzc_g|l6{d1Pj-{-B#hz9m
zzB{RijNTe!^|huz-x(&7YPmSr<HQ_dok#(<<bs*#wOrTdbfo!yTrQ(*=3}G!x6j-s
zB$;UvaW-z5d*4B^>m7%PYmSx3GauyC$YCd!?ockn!4&CD=Hz#i$ZdHwS3qjAf;CKQ
z6#1<nF~EG2ePOB~^82DQQX$2pC|;<+qMZOMN5;tdcO3M#Ppxgai}9yif`ouR;NS}M
zcJ63L4v<OiYxkkB4Ob`ag)cS5CaF4v5Ayv}9EW)Pk~)q$zraw;SPr&rJm&(8K=Z;s
zj-b*=bGP<_XvIq?dUx)w*YkNruKQws?-TzCTo;u1vOe5GcW~X*W-WAXx)N1Xe)A6q
z2V|!9_w6Pccv2$X1fS@eE&Sf5yNhlYrMpefzv^xMC+rvvD?1ta<^|fzt=j5{Aq6O5
z3D9mhim72B^G_4XE$UMN8`C?Rx~Tawadbc)VD+6#t_+T8rdV!Y_Z({WXKBd!6M^RX
zBa`wS-Gu>gPR3l^&kkhp*Lydm-c^`AI!$;ym?eI^U@21OJ${KB0mQ!^%p;`nF4u%Z
z*e@ae%hIev@}EJwoXG@i$MTt?T4V9Z`8ps*>S2F5g#&rJ5YNaE?TWoEz9PmuUMq<r
z1{0OKX3x%AxOK9|5{iNSte0OC72)ss<7hs2g0Y@xZ0*<mB5df`535>_lX5)ujAACh
zlg4}GO!Sr=;Zt|kq_o%;F)hqtMHE*}RTIMOu@bF9Q6$pFYE~`kaar@u6}6>MNx>Gw
zX^25Z?Tew$Q)o=6nEO?Ln$-IE0cSlYJu@Pox%b0o!vc%-3ATCH#cMX<e`<^R$vGPs
z#NY6>c%d8Kpn&A8pJ=zWIiI9G=#<PTH*@yF!2-fsxy~)!-;1t%Twc&U(*sXNt5^;d
z{jyWXe=YQ>h{Ps2!8OUt_<ZbO`v!;?alk@#0o1CFTxL!PQ%R0!9d%$Ev@F_@9IA=E
zllBhr(v`@~3!Kkm@x6E*d_go;MX}|qWox-B6GddY^j!?_?3@Y!AQ#Vdy5e1N9!`sl
zSzDQbeXNeGrwE%N{hXzRSS*_>K}>hhwUX>wm^5Y?p%LGY9C6GZi*)v4U38*&oAXQj
zVR}Ph3wId}sV-K1Qk6uTklJ~S77-?e{U_^j?v$J>fg<H}r#xF(8S;^me5OD==62n3
z0&#Izjz?<PTVO)4Zf?o5`Ps(v7zX?Q(d=1l0O?z9zQAoyxV)^Vej#Pmk$BaV&DA;`
z47`gb9i=CcPAent;O07LU$DDL>FH*XNz4Uv*;iE5(<?4o1utj4RREbD(=5aBMzh_&
zpmOs-bje(k^IbUQ^iM~W$nG-R@W>~fUXQ%hK;=OaeD@Z0P+}W@WsHV`(V(-;9Yr`U
z5SMe5yCmFtU6*P!ZIuhLi{SWNDw|tTj`Rc^ah5&^OC~(=T<YGH5;$galg#xx@^s=&
z6%<`k2EEv;$&E*kD?Ycw@l<0z0wDUW0=T9lfWdx*3X|Wsowp*&cbtLW!&mUjsm$_W
z(r7sWwyFaHdn~>Ec4?Z8B3Cw5%Zi=C@i~n6@ZUsIKU}josVwX_<lj<nUn3dz+b`w{
zRc+|a3*Kc0ulm}N8&*A@{)mXzu`c|@<ByjoU>v^6@d{HF(#RB{FC1IYRoNoumj{ix
zgdm^i5yq+6SH&Bg&1mzs8vo;K1J;j#={iC7f0dVpd18$^a%6`%Dgf|^3rPeH*>_vn
zdTy)9dRted(Hb8I4ca?Ugs~dCT&ZhgF(<bQvQ~u?jtk+EY-ix$s#fAY9$k6K0~OrB
z+0wm&p1Vsy0Y<x+mW-1JqcnHHH|a=MX=XbIaqEE<gZtIpo^Ln}1eRz3cw?YuR;+O%
z*y;f=f34*uF;v?bgboceH`i7zjh?Bz9RMiB9o}{j@PTyz2_*yPeK5CUJlwKmp}fbA
z=d;HOORqesgshKBK7Ll3UUG8v>$i+_JYmZcgkGW++#8z!_TcT9S-!w4*^zyg{&I!3
zcGWv%s>q_863J=78K`OW3Kjh;D6_OVYp7-WCJkf^0x6v(A54pMo|QHCGa`HW6A04T
zfRi(S87)D?AxfmG%dn7~LDp}(_{J+2cY9Aaz%E|_y$kbyGS;$ezyd(;IKvb2LXc2p
zjw{3Qe6hpx-gG?p^?b2r=NBNNk1u^<+%*4FU-|}laR&U`8ydp<9;=Brdp$*!d_lXT
z=yb1nk5C-pBXKEqT0sL7s9kIZDpXrNij^;2pY^Z6eyyLe4Nj=zmTVlMH(3ZSr~T(I
zBE4MSkV{-0K=)BRo=bf9M}U`1%3Sf)(7Uo75P*GqpR>`S0MU@HkR~njI63$SY}R8G
zKr;JN`@4TRttD0gC&<z9vARL7R*{3jYB3;#J&5%v=i9RG?=4EshhOx_UD5T&rY-MD
z%Z%Bfb02s@S!~}LhT+!_ye4eTX-1|6ph!E$Th@pju4iXw3k_<TRfJv2j*5Wh{@r4s
zQpXhUIN9JG=uG*r2QC#<Uf)P1eB36oczF5@?B#`dzY)K)Gcr0H%do8_aIFAMeq^!I
z5>AP!_AIpoLd6&%FXG5@DN{^6;TU$+5JY^N*}!h)1Wfz&o4X`>r%t2gOY5grj~+P;
z^uO*|#!Kzt00lIPEx+`vw4Bn8B9WdGQkcsjmycOHXu&jDY%1lkGUkm*9URY-#qv2V
zvMr9~aVQBUzMfDbw}{UvaDtqIG(G2&yYY)_XsMow-QkfjA8gsj$4lk`WPD_t5s=lG
zU~oC?4sL)65!e1F4>)u?5&~9-qkOynVIa)AS#e<So}Zt;QB+C*b(WcyhRtEO$q!)%
z0FJYM_W;U+?w1~o%W<W<IWWGD6{(?ghO@E>KHO6h!zlvjCy$g5`EmO+y1QQ<7u+QT
z%vm=xH~eH~tdQL3dep8&LQLd0bjg7c#(eH_sy9bK0@Y6To>BHOQ9U1$|9%w`459Y2
zX&b-q3SNik4tU%g8MzG>>9<^b<J_*aP}LOM-?j<)UDU6STEB=mC(---U4<wB1LtpI
z-c@v~^{yz=`BIw`f!poJ)F-ySy{m@Chx)x-QAkKg4$1~B>SVp+IqGo&6yA4_l9c><
z=DeWObcuVSr+j-}`)q5D?7~GRakYMO770KTYTWC<evXw!h)~_i<>?cplGCPef}116
zQc7<Y!a0u3asqAz1h%dyX9@M)lk8{B{q(sE&~(4F!G}PC-(W#ob`!t3t(MvW$g{s(
z;NI)X)#)l1JO>Wjpg^sDNw{6C-Ne43B0rQY00ZsxfUB*eDNVo3OjkDXlOiP{UBWV)
zjNkT!+ag#Dc<4*T=cvw~eG3#-K<JCq@CTeF5rFu2teS?g=(7E`-0`Hd6TY^~a_*I|
z@Uka0etQWFW1@?6#jJS~Ak5yh?j>oZ{jmmn^m=Qc?s&)Ja?yrJ0DNZO8z((aHoCgN
zy)gf9xX$eGh#Jn<d-C0WsfggHD%i$Ii<GBV<0%cBw={yBj_I4sy0JE;8=cSvD^>%a
zWGC=(rDN6%zuxkx!C|!ylmQX{{({{X5)yw^t%&bF5$1h&o$#@*#b~e;^^B_W$!`fc
zAx7~C>%nt~4XIXhLeIa_{M5u}?EK|H9oKo9T<iO_Zq#4M@$#^)M3l9g7aQHFZ|+E1
zybkZ^_~~Fm4gPj1!31}04RiS>mATwhY<}gi1xPTHNT9vl{YbxB70L=KfXq!t&Gz`8
z-bvvwxp=liW%NRdJCvKV%X?kX(ixavNc$7>3eCtHfHyVXy=v3BzA!&Oc-&pHM4zKX
zYEV#l8tR3v?@r05vzZ6(qt2B~#t@quqqS*h1W|Hwq~}&>1dHO?$0Ztv95jwtBuhNE
zStt0vjZMyETT^^`qo6$JCSx+k1BjSWP1ke0^UFl<ZKYS-7~@d)de->971G|70*s@S
zru1jw%ORGDc-4@mxIV3eT5DNZcqQmwBAt%!cHnXJ0TGN<lWRDV*MxFluSycza*Fsq
zTf><V*S|g<C}((^R6n`fMDML{_Cb*A3rbbzqe}StX5Ycn_pzlGFUL?*n`5mT@(^b(
zmV-=SK&}({5E3P}C)}EXcmqm)?i6sZeT87+9cl7CfBpIzi5e^Favx_|+0t*(gHxBY
z@|GfGC_6{y7X3h@<?8UVd-iucb6Fjc(7b!rO?^}K1a1i-6H=F8-`ZJsz6!mq=Z9K1
zpKWlok=^2TFTqpa-b2Cx)5n=7xj*&Hnm<2QxDZTIVP%Qc5ub_QIe38!VE!3uNEw#Y
z+7np+2wIyZDHS(uk1_;$k0hjL^pbHxd%738FaExbLN0aIhyBK{CkLqiT@TZ>%aHZ2
zCpmm{CzL$_?BhiqTjB=KLa=#+24CsiQQ_SysRTLZimb4#)5~&Q+;eo^;oIFSvkV(e
zBeDvf)yDbR*%{9a@KWoPo(!2ApA6wE&*oRaNaG`;HGf}Ww@&&sUzS_%e=nXJg5D-O
zWD=wLu>S3o%-VXKDDX?%1krddk(OXVYJ28Y)Ut#3=ymMJZlngk8H!RH)~Mb4T$+b8
zp-}*3oE9ec!YsuLl(q8IrI`GAtQYFHgzm;`vpUpysnO^b`v{lYfKa&X90_XXPA4Rk
zS&8V7cD-RCf~~9ED+iyKYd}V5I1j{)4b(OVC-Qbolr4-6M<Siaz=PhdNAbvswYtL%
zD4<qXBxdCLPJ<af*4L;sw*;5MEYs%41g|Vr^Ilff`E&treH1@=QQhh6&R-VJmm5a#
zxZN&9PB%L4i(cF6y`S%rLkIT|c<%o|BHs{jxkQ*aPW7;uR6GEU#dvb?F_PY-$%h<B
z0m-37-c?$_3qI0AeLP681UBrqlI1lyAW)ATG#;7WM-{jxGiyxlk7fBC5|$9$Q8;wn
z{2nz?)eFm){6B(R12&<@Q}-a7`H8ipNN-A&#Dt1EHl99D7AzQGFYKmKY=19e7@P?<
zOoEpfI}=|Ax@UR;)?j~S@+IIapnCJE2(jleI8jyZd$w;MYpoyFI;Wn{@LL^C+~s;&
z^#7xp$2fo3-_vNoobSkwa)h;*{nf&)7$)}wL@~pjd^k==w@+UaQGpTo2*^3b6JH>+
z>k9k8@T>T`=8`!A@~C^+A9swUj%PJTo^JuAo!+@CeIUK|8sGy{L%G;>tjhgiZ<C9^
zOLfU4CQa}vWP@uFnc~f?$!XZa9mUUKC|$rE9PTQqq~!vp5p@tq(Ty9%N!9pC+f}a~
z%k@Q|#zVumClv5G?T^A2Fh499$2jjI*EWC=EM2nKa1>jd!%<Rcx$YZ47A87_9%@+N
zN+`|v=UW*WSiNds0k}P#QCj9rfytPU!&ZYmFsd9gLZpD?OlQef;HO(2`z-TqpSRDL
zzQwIY?r#h5)gNHkV}Rz2*9M@%BN)nJLZn?@Gy$<eo$uca$GODy_p`OOccce|O}JZ+
zS0LBtYk}Fc{wrJs<Z;EN>%_!OjZN99si~Z6_8bR3GaUDEfi@dY^G#8zWu`Bvks8$a
zIkgk+b3v4w-bppolWW0N%_vW-qsIGL%q_?IM^MWaL@i!}UWW<Jj7a`#-~S|P<Fo1o
zXxlN|*b2gvF-M`U`X#t}NXoTY{pNj;1S%dtE#^7g@$5UU)(>B5j(1*XbC%0naC7tb
zk4XsE`{TIfnNk%I6B^~0G<6q?1=Zjd@|0JceS@<?gxD;fkQJQ`XaPgwd+md(4VPr3
zj!<eJyLDMLw*MY;D}WZ*SN}IS3cu&jvSXgscz#dY2-yEa(rFdOjqJ&CrDzwv9s>l0
zkByt#!|QlUw%S}3@YN<OUZ76u_@jHUs<QrE@n_^`FfuN?-Eu?_z1J3k9{1SHaVdT=
z0|iHW)nTr%yIX&5p82oYLV0GVFJ}c|td@hL%7b12%GeYe57TS@g%LYrB&pRrX)A_|
zJe06ck@8VKGbj~K{EIy(3HiDBh3xEWo5ye7CrN<#B?KUF9t*`Kz3K2^F|r~8*Z=@+
zB#%*LDo;w;Sf#KQaK<*D?IsnneIIfrWNBlkU~Fnv-`zFgS3qhtESSxlD=5$Bg*y$&
zpoV|5j>FWg^e5@+&*gcqKQYyZR$tYL0o1Yh8ml~z|2rO&1AK3np+Fh@Ek{kI30zOt
ztc@}(E2lJM5M&G3Zr^C1`dV3?5MCG}@H9CdjGKmjBED)e_3-LXft~}z{(3$`a7B;c
z)*j;I@~MK`?4Nb#@=IX7QmSatb6tN_nnRB!8GnjzL(PdP)PG{*biPb>at<!UnAtH)
z+ivIWNe<>oq_+-wj;<P{&;tjm8wLt@JF6yL?rD<88z?IGI84o3`6}X5>F=>ipBbQg
zMfAVf`{>r1u?}GYpIk}tgT{d-LV{r>qQDnPhj-(bkNvdg4&htkFJ!wv*}0N*-c$7%
z$Q>#1fUOfP^%NlZFN+Tw3<g)eZ3(w2czOj}e@4zSea<E$UH~gF_n3eF-tScGW#C^G
z5lWTC{Ifok)xxYJ%tU5^R8JU&HE>iXl?~S_+4yiYz-(4%uV%HITK)Gd9%G=0Jnpve
z>Lyc^0{&C#-g6H1IM8eC8zG;S9OZgLtGsg&ZlaNnS%}P+5#2qJCJg=i=N}2m;vCxK
zqWD@H8mjs+d2xMRLn<vC5^%+J8v1FD=2}{W**k92CwWAy%d>^=4IYqtMsNTqvdI60
z0gA*|rb}xJj9rT;xo4n@FsqgO%<$Lfs3@f9hzMN0!&|)P2RKxY6k{F$e3mq}EfCfd
z7Wo_elakOLssrao?vUnr&%~019`yOtvNYBPrc_ZUOn28sxnoUE2)i;ak~?fNvTvM-
z!5<4iXo*#q)AQ_7BAu+f`**U6BE0D|EgFZ8Uy=ub_1%2HBm)edDYqRdu$*DvVB77k
zTho(TL_Q<u$?0H5Pan~1qY3!w8ZmuqO65;}wxbRRAmdenVas(6$Fvn@w)W$GNAGeI
z@0QcXl};G1&x@>_oE~E@2hsRE9waE>U0tRVSz-r#e9X-C&PGPN)Ih*;1tgu$ILRLG
zV5L-lf~KaXppWf=|9zAEvpuBU>k^oQ;jm0x+sFr~f0cH#;{37-s6ttqc5lx=)JuM#
z9~QXnVqt3tMl4Q)AQVupnb{zwNb#q<D}!(6FH~x$>h+yl7WyBHE*644!o_YArtT~*
z)m2tFk1df9*9>nLH?8|a$PAgMi^xLQ=7E1r+aNz^AqGFKYl6!-CM;4})b2P{K05~}
z*%(X|0J)X{i(91oXWhgRR?I7{C-}#{#>ed~iEMW7BT4*Z1~7@ZRg{6tl+rUiJiN8b
zQB&UQ8DPNQ4ltqXDSgu2gzN)IXoL>du)GB@ITaO$mR0JXUE0I16Lp?uW@bhko!)v7
zSlHOhUqq&=N{*;ScE5e__1+tQ&A<0^Cjpa1u)*&`C7t}<#F}NqN4cIk`SU43L1@;z
z09H~zCkS|GXWRGypYhq(9(+>~KoFUv%F8L0OTvV`EybhX)p|bH>z8Xi0mx26SzBKr
z>RqRm3x;5V$@;(uK5WL}+R-ZhIu$f*0~2fP)Knx;{}XG5Ca)>@_I3;p`LAA%g1w$R
zMEjURcl$SQ&WG9q`@@}`k*C<?RG`Kg1!fPRM>bjZBeWUicaNkzK^=YePW^o^0B8Gr
ze{O5F(fO*W@`|eRI_D3IEPH!*hfl%m)@%aw-&H#0UxfiW8Kx83O9fz)XP;pgJH4NI
z4_5C>jw%$;z1@tA3V4CmoF;0=6(YOkFfY9E6zKl6HZDVf$I>Wd$hS!il)3H_X!WW>
za@@F#PRA-{EJBS!b#OCib}y*)bHacqaHIL+OH=&eP}jc0rgrfV&cUA{m1(E<Eg09g
zVT<v7z>7G712U_}5T`wSooc<TG3{{IK7~DKzA#rKSQSB2rd~HN)bKkGM&6;|n4ihN
z?P!oxaX>lawpTH2$rY)6MVq$!LozL3n*;PQTK53!J}ac<!nXPXFU;%F<JdTzsF#zE
zf02zmc9CiubzNIV|HE;jJ2Xp-96Q4MQK8cFh@5UkUfV8Rbo)OB8CnhTqM%|e9DmxA
z@0xI>>DJ-axFg)=n(f^~IJ@~b>4xXtpS%^X&5bBKd*7cRzQ=?)syg16z<j4Y5<KsI
z=<v69hvP0jX&!~wDN|bwr}UMsCrYvY^p}Two%Tad?<cJtuh+xRRo-tRyO@Wwh!?+~
ziypdjB`P;M0|6Xf;_#kVb4N*!Z+yJS*2MC?`(1vZjF#8ozNh_A0;gsBmxu*C#QEb5
zB=>okPnOH&_P;0J=g0gC4{C2N-{*cd`qo%ru5k@g8>t=DZGnRq({S8&!+DKMo5v?V
zNKlv%Dc0&!nNe!<7mH+PTE(u2yMC}QNo{ysVdOG^XE+@&Y*q?@D;jt|ZfV<b6(?j?
zyYBx;dTG~L0f*O-9LCjay~LAMw%f?>({v?PYDGqjAe_fD(Qu}T7(8AgL4$7K5L(E+
z**ky)gO}!NN1-szDP#PGf8%4>n&YlM?@GF@OWXT^sF-Syb}EhkhwPQJ>2>XxzUDF%
zg#kuzXv{Ko0wuv-NK4Jot)3Hvj%=Qt8e-nqjdDuN<^hG4fy9a*pkX&Z=lDTLJ~i0@
zJ{$X$i50g+gvK$_sc%%a)#u`c)(3PzC(at}csd=a|LxLHmN7#bJCeo*fsrY&`P0xr
zt~zjuSOerZ`jB3G5Zx1g=w9|$T+M3Pascc2cKrQJ6L2g~;*Yb~jae8j+qm^FTA@>U
zOF{13>Y;Yl{^0H2P0z=7cG-`)qJ4c-)|hybWk-^%^oRVct2t<lx@%yB!B)~zZN7$l
zv8ly{M{$Tj>83l$3qTyAHqv1I8GwcR<0nd9??8lTcaR?h5>z!}5SEp}$QAgPMk_o=
zIoCPc_u?}J%UPbZe9u<X8}BY%S{1d0%VX2hERUmqMOmhr$R|jzLuzjgdo#A#xOUxt
zuL8evAE?ad{lyavCb~0n!7{MMi}}VIi5}1wwgItU^Zby)z`44m@CNz!aV@!*_D%I{
zjZ3$So{D(-hghe_X!PVhPU}0zcik;^OtH!7Ah`&A5}|4<=tQQC+9EQ^^L)Xp!J1^4
zMrk22t^y?#Qk`8CkZ&_J`l=`l<V18fUhgH__O<7_wA!=GYJ;VLerJ1#IAn(YW2L5a
z$gE!*?8tI=11KYNN&6Hd=#FNz%Eqajn3$NN<vz*v0TOcG1l2wQbw>d_iXhja%W!;l
zScl-NH2g5W0G0F;<FU3+-fa~Kp$`l*#dx{KxNLN~;w!Shnig+!CL&K2zp)ak#u5JF
z^)NfZttM{E0R<r+68_E(;FhJT51q}ZgA4w)7)x3OLo)+IJ^srHVJIirB`*$~FcJPx
zGqk}u1y(;f)q6fj^p0`^BbKTAYutG$bd`9dmHJ$N9h>U8(DM_)3$ce6W#v;#NQk%)
z-eTs}b=6w{>KlxGKy;)5t^}2(e+ey)Y~`x45z6+bCiHq&ee2V{E4vbT?e;h5zMqt%
zgwh-%ss>^NQY{DB20vd@tq;9za2ve+f?Xr&RzV<CjURk%?u4B;)1Uou&U+~44Pl@M
zV55KF3l;JVnT)jg(1h+3#O10B=>PjnLroy}TYYG=4?fHw`v`?yhnm6lx+XT_@3kGD
z++$@(2I{z<ml{TU)$=h3>Vl)X6wkIf{<4(hAar!}&<z*rr}cre?{)3Jr0^{?ueVbI
z?c!!(VPSHVnzhdVuLa<F*lX&$KpH>)$_D?90H^;7&COG6+Sf)N*J>W&p%;pk6Y3Ez
zWZUQ>%n701HRf}xDz@Ef+%FsRH6!$<f**-C49lDuQ(KGNy5|Bf!+x>KpU+`#%8Em1
zfTDv1+?D4qz1t&`Kf5pN{!h@AgmKS<nc~u9oPKQ~5!IguGe&GLB1s>11f^=PIU^8z
zJPX>H@uQ9TgES;C9hbFxe5Q_4e)|$|rGv`BM05GE)Nv+*#fzJ3&QdyuiwE{#*lPr=
z1R9Y*EUhHCmF#N98C~mC$mmE0_M|QYqMa|OsHw#Je}C5V)f}K<igaz+fA)9xI%HRm
zahgewK#A~-&`0q@+q6DS36ubDZvL#VuG*p{P&i}l#7-zKqi$Bl&9^=lw7%m0;~s>0
zMjal)Jow7C`jwC9K7cUdyxSW(@Kdzd53kP<Jv4th9^C90Y+1yge5IR6qhXVqaQ(mW
zmCB$7O-_eJMh7`L@mTZ-Stgu^4SqEa-ES-1r1co@-&27_dpvs`Q2tBJQd3wLc%WU~
zesmxv2LCzgpE@8LA+Pq`v_|S0>0jR>jDnyrk4=y0Ghv6(2g4+dF4F+3sF3Kh!3EE9
zI<->-z5w{1iXMbga6y^fsA7p^w|n7^d9ZP0*|^c0-xh><bQ~7KJSybP7rjNpdiPSd
zwIUh)tO;fFL-%Flv!>=nqbwGFfRm+0c66Vr5i83^;7}2H8222+jv=^xM&ll}Z+~ph
zapHeJA8x-*s_oakGl3`O;`x@qEmA}#0)ulGA@G(f{>6fI3BE-0<TYlnm2K6kE+Dg|
zLj3169j0&eDcX<*ro7!U=qo0RkfQ+;4UM{#NpF6)dwq2KC#>R``!A^Gtf;Usm6z9^
zS!TT(MAdbYi3nMeWEK6IOcHzDhjy3W;H#(ocrnolP<h9qE#yy-@o1t1rJAC0z0`!q
zrKPAgbe1vN@!MBNbsbgJN-eT62gLG!wCBL<qN1Y4mfj(^_qq3<SL?rC{-M19quh<}
z9OxIVVV8t&!Uw(6TTXp1QQqWf5rN#7JxOBzRh`m!C(tjN1lv0itujSOY?=lOd&gD2
z^>TI(V?yAt8bZ7}@WX&xqwwLddh53Ubv*ZDf)_}3$T9vlUjI972%>x^HL+<uS=_m*
z?NY07J(TcDmb;7ksq=c+JQW^O2=HeRjt_VLCy&0>rPw89$!ese4g-340)D1hpPeFH
znesR-{YAgT?@BaJbi<z*G@nVjZ?HrW7F%0=$xvfWZa1^|!e=hwN#4p)F+$)`K;NTl
zz9(|C;)+PHvHkWTq`1~8a-gmy-DoI|p+PB(>)ZlPUkJ^Um+O$)MHp~*aYVeuXF9&`
z)BF2;(pf4}FzP*c{r$4|b`X?hs}&c*i7nC5<Rt0^T0!v|m=xapy(+L|7^oa1t8Mpg
zUO&#O2JVrKxWnH47RB1x|B(5C`r`>!WQScltnw7888a>!Ac-x_Re)!pXoGqHoS1N!
zSdqdMwED}ZuGSyR&;wV&i?^Qn2q<yDFM)pUXaB?GZFtv$33{VnG$FjXRG^tjs<#sF
z#|a7xTwAnr3_)OJ#Ny-?D7-eiQXoRq{d0O5_$o_GEJMAW+u^$<x9(vbbC8LDu<^47
ziTj5c3TLY%$q&H>_#lJMV?%!i``!6zMl=1=7_S20uo#7jB>xxs(Kr}0U{9cXx8DBg
z&M)8Xi4IT^6L<f7^Sy_JoUo5x4|&!P&riuUls&PZR!i+GavJ%r(Q=IHKQNk4S(`L3
zFk%!0?q!gNcaOSyZZo?89AU}(Gah`t?-xXJV#&Q11DIkvyu91IKzW9_b0+boSxK`o
z7CpeqZN{G!g%O>U^l?ZO`-q2K=YFXbg!Z15pGns}z8I?{KmHZ+=jLR#hpT!$Mpo6K
zbXUFmWPd?Fb6#_S@V3?D!@J-n0(@7??Z-LD%lp1V{e=wv(ed;l7Clo31u7`9fx-^V
zaa*u=lHoekzKIa`x8>dhIJZmPRBj^v0AF~Io1Rc-c!+pio9ns#X7o0K$9WUw6IRav
zSID(!;mk#d(v{ADw-;q&u7G1oj^(3(RMCI{ka7kiXnuLQUaDSnzV+atw`MWC3U<ED
zPMrv+X=!n8zNn;@X8Rtz8G@NM1l_G$jO-eAFEVt)%fTfuAc*0f2b6TNV|3i1B||+#
zrZmVj;oU!^3~XU`KHvlwt>uOQSp)g}G0L`mpE3OE|FQR;;c#|s|EQ86K}gYSnl6am
zBZ;UX5xomW^lpe@NP;ASAbLxpMelW#i4xri(Tx#ZFj_E-G5_VhpXc50r@cSyFZ;v3
zjvR+X#^t)!I_vNJo$Jhk9x{2Js7K_Q4VX>Ov{k?UeQoAPSH`;vB$_%=GpgKW{{dt8
z<&YS5tH)nN-LRNla;wv)*{yMJ)t@2Yhs3=-1YIiA>6BXd_%zO6P?%*e(Xftt2^(vo
z|CWU<l+P>Tf?N^@&D48~`OjwpVVEj|DS@7MXZ8P6JU+F1z~NJTJm8oVaKh)|Go?!M
zm3uA|L0J?Wd@>|Tvjon}{QU<Zr*KiNt6?kuL3NIR5i@ZfC&SLM6pE(^D6a8BF{!ED
zl#%Oh$H&|qjxDX%zV0RS^1}l<j<D>6B+|KVG0qx8EK8~7Wo9l}h}u_1Y>%>@Z_4V9
zElqS@eOKXl-x8Pn;EUe+73@ueB$hy*kM}qHQ0T70JL0ex%v^#VDD(q^B-!I`D)y|o
z{6m`f!r{>F?3kGEKgF=E(2un~OJSGjmVU2_(qWZ<RMhrH9CbgWQH$BzBUkHDmU?W;
zrPzCuPH9lF%dF_myjt{5eVqr&c>m=Pu3IenaZUqoaP^<NVO=re64yL*jhopL-?eu+
zl4F`|Oh)$(Bk1VFWEgio`Hte(gMCC%*$=L6niC=p+X4kd{^CNTWvEali5i#nk4kQF
z$+lnp`Eq_0Z%)X3S14c29o8lG#O7m0kNy3)!M^OmzK&CwF1lGHZb+o?&PWZ`YYJic
z<CEBo?)(R@Rcwrh1IE=LsQ_E*X#44rJe|w{UC0eRCQ7%C-$BK&KMZ4ye=IoPuu;7l
z66QV<`-zTX<}-F)W-gdx&W?C?iJyyW{kh$X^I`AEcedMukRyGy#jv^tehh=-C(6T<
zHZxR^TKRKAk;03CE9Z*Jxz%?qVrD$jC)$2dZEnU~rH#SQd9a1-qE#Osm8xe;IJTH=
zEtjm2MEq%r3BUL%=apD=(YQ%Q!6&Ive%C^?TaHy^-%g#wC3-E8o%beI?=AQBi&o`m
z@n*H$KGmyJ-+j|KBK8GVr-8PIFr}GH6tBFfTDd;JZdJ7+pNmTs+x*->tQF11ecF=B
zckDw91kYybRAr6lk8G?E)`XUEO!x{bi87ec>*9eCRVIs$k*w3dBO?A3jkx*9fT@wp
zu~pI3;b)n<*X}g`9exz?^Hb*WuY9kb+es2~G$!eH&bQ32ay!|K78<xrRlj2pG?bA0
z6dnkE?gv2bXI4d7u^Uw=$VlE}A75WdxofdrNty7|BRY5R;o4fqKyRnyNRgI$$G$%*
z^yQ8tJYaa>#Of0P(-xR)nw0B&an+!c4<AE`Rcj_V-#xZRAO5u>Hgoq=zQktp6M=;1
z;Jz*s<zIe&>E3v3HY=P_S7cOXiTvoaGUJWPO)2Bg_x>HmwEMw9Xf}NG?0y=$FZHt9
zlj9E#{G?o`I;Luz**G-Ye<32n+mQ{vvuY1&>gwo7*fj2%@{f#-`B8gFd6;C|I!dKz
zFR$O@-QIZAHSA()X6AnTXlLyxD%zfP6dx4(D3D=jc$ItE8QtjHdJ*OWzPN+(zPeTR
zf@6-pfUko<g4{Xt(N$yCwRG>nNzx7T)?h*z0S6FY2>1xe65_E_=X-`Aq<cmnwxJaU
z${?dIw^mIZot>whA?vb7m%H<ZCMPFJPgZu9`tTujl5&{^gYsKVf}yBl3&a5(SJ2;|
zsIzYxmRS<ikY=c}|HA?z0U;{dp-`J=PXtnX#osX7HpOWmRZ=j7tIW7!J}VScSed+w
zUN)#{3Y-mCu{aNV3A*yPWMR1N6(*_TBeUk0`}k0(#Jc2?&(!p^yF`^%NF*yqAG_kr
z<m3_UoMhA`yV^m;!x;xs#CWmE9up-U=ZSjuLP~bP5@Nq}E-K{p*@~u^WajApyiHJC
zx$pQaBZWbRd@!bgFYoc&;YZ8M6^|&NP?waHsFB`H>AyU<?ft#~IX8+W^OCTza2Glw
zIy$;bwteJ&supv2Hi@87DeM!Eg4Ap7Zbaa-M76B#H@rS%=Tt-=UHvf*cB=#J=<2En
z{*k1a8;;HxEizJm3D#250@fM$B~NI}eWu<M_Wb!*pHnFdn3t(RA0l_JHa9nyA2mIq
zk*oJ$sA>Gu$c0zdWFCw*8@E;HKU7gISb^ikZ9;tH6uWPHXl4AR`uZ%m`seDtk^4{d
z2Liye7*JJ{p$UYk|G6SR37q-R|6Gjx2HS)22rkNKDY<A!PIbXxe>8a)D~Fo6*P$(+
z>mrQ<<SH_Dp6Jk+jof)e`SS%<=@Pr=;r(pe%lu5|zVmt9ieC8kvqHa;syAD$-=+Si
ziheBb(R8%5+(&^&AveSBUw8B2Hjvn?kd}~Gyak_zC?42hcW)hOR%O<WI2}0muGQnY
zJ#v0}_P1Y#ayj|Xdp}ixL?=%ggJ1Cf_A+TI{z)oCzrMECaF^;;9k~d_4QQ(@)vK8O
z{e6O2c3rFQ`k3UJ&#^Ezn08yjx*Od}ak6<<`C`~+?J!Q7a45{rUnx+bpE>7}o}6qP
zxHllJJgdDU>4n)-PfIOUR(qTxWme~AaW(vRWdDXe(mRxw6arE9JQN`xKN|;PRfJpo
zU^Kq>nR7fG^toUps)*ztd+f$GzyT8zumwBP-Pa9yod=uK?G+UjKSx|KXgFwWL1%qa
z`4%~!JORc7ILl?sVzI4c=A_jmhsl%ouBj3wL`6Nuwd-z2KC*}z0Ojh)Hc?o7ip3I^
ziS)8Z3}P$#>uMt)Un#*Fag7K>U4#vebnZE~$D!w(;hgTW8E587gDo13HVU)BDTg|c
zU;hX_bU&w3UUgw`v!}HrrMUw=9k~|>hBX{Y-K{M#t1AUk7nwq6OtB#KA+5*9a#J0n
z2{FrNchYoW@=z>I%VG1Dg$u-8yvj<fss`(Ze3L?;+)f!A8$%7On3@!|3iA$56CelL
zNM}zDtB2#`xp|Izi!8Ic952RjMf@V<5jOsQN?C9n@h)WxlaeQV>@@8j&Wg{=R8K}q
zl*Pn$pkRmMAWiOkBi(Y}0xqy}+-u&PsJNLi0D)4f3^_o!xY*gvGr+Q@nq(m`seMbO
z=mzhV^bwnuX%wWYOea?_VulbFcK>$*n2?;2q7BJT2^#Hh$sB;VPgK~dy)4}s6+cLs
zsI=D-NE<jsaZ?4;m{axR5JC@OQ8S0I;XKB5ltESA0NAIbe7yo7<V+s7GIXq(1NN5f
z)1=+8WR~_2k#h$tUJZ1Eyi%9H5d)sYI6r_w4=Kd)%sof?@h8u(@4jZuQGH2K=Ak6k
zHZRKq5c)iQfqg2EiWI^Ra7Zo663m=+nxjJ#4qtKOo=T-P!%96h_e?@;_hQ;bn<5q|
zeDL672ntF{qw^};JmP@{0tqkq(gs@W8*$)f95&3s7nlcE_H^%DyXdMy-!#x~=>)Mt
zEqO@~)+i`sdFL}v-(wCZM^+68QTvd&i&Z5x;!CD$UGa9=gPZ*DX<O{9h8LWPB#<>_
z>r=123jIlTiUq^D@6p;k@g~hLeGw@^Lud@u2By|^n&|WpMpB0f#>>Cv#(@_|ObJ@V
z?JV?Bhuvq}mV#nvPB1{8)v6{ps+i<jG*?Pe2yrQ{6ngjMGIX*op9w(9-lEBjE}@!b
zp$y{0BJ=*Mh@|()Xs?qEa|;TMVG94v+rLrdD*#0ap0172y_y>ZW|)pbr5s_h#l~tv
zX+T{7Y_t2BO{W=hg_z-wk6ZK(elmgIs0k(FIG{5-^rHEiSw}9)Nqqz+C^2yE^!xYk
z8vy;kNP_U&WIbQn2dOGScF}Pv_;YNBH*^@4O*nk5t2?|e&PJjKIY3}fe?s1u#o{yF
zr~09UqZbF&VpX~a`}@sIbKrmlk%1OyS2Tx+tk3FDFcc1#N+W2%;Y1ATw$kNqTmS5S
zMeYEJ$2nu!>Eyx!Xz-JwYW4h)6-zi_pK|3&yS8w+?b&Zj!3I-qhlBaJC{i%Fn6v{q
z4z{ug9dzij5Wj4QvaJH22|yCLWy4E1*4Nqi<@17nfj01YQ5rh3tc|s`qbV@e`1Ilq
zElCn-1Q3lZE4h|XAoG)#<`%G-X<7mPEh{==o3&)gCc0Kun50OqpgU;;exzJ63piou
zjAz$tiMg3O1lQ2420V3d-(&14=NyVHV~Zr&WDC$0|1MRUa1B7JE^jA+iMAp@Is9vv
zDp@-ZkLQW*o9pX{QkPSQ%1IXl0-l~zc~S&MTbNk*xr`~c6s)-J$OYfDAKw8(f}rGE
zX^z@8AIj{mmzHTgu3G64B@liA=1EK=J|0a#0aKH9_teXv7ilEre5`9^2=>N3$2ejI
zi{bB!ck<;@D#Pj41p}RkT;$KtzovRPDtBtS=p0r2x-cxSB%n0x%nF8#lTZRVaLYUn
z;E6xFrs2J=-14We$WVCuU;y3vBt00OOZMQ)6FvqBOU%f~UdQAQqpk^uj{X)~NERDA
zdlTRLucwg6vn|)1`t_X9U`pe7RrM#aK!ONPeH}mq79@0c$#^$@i)Ag^3wV;`+>XQH
z0@XPy0!M`w3Y>r?Pt8^R^5pGGIg!PTrmF)OiwEM<)H4_ihIpjeS6y2hoI4CNY5EhC
znK~&L8DIDJ@GwT300VWZh!A{apQY^n-Wen3`J6oo_7q#t1?6v<pPo#NSn<Vv%H_~k
zZ{3|>^>j<>WFjBe5ti=sJdtHh-U1{91r{WltHf)A;40=95+jcAnrvDS%)=~UEmya;
zh=_|j30#4Fa&mHmR^M;}8FdMz3!d!6!`$E?3#U{?-8%(-%KO{xbXFwQOyh9DXM@v_
zcdh2R-d$)qN!zo%5af`@27eoFarQaehJ3SDW}+b9a?!JK_i%jpqcN4y-nh~^+V*W|
zWPDcMePuSFU8y8)WG@^Y0~YSP!NIZnE2L~B^D?K0n$sANb<1qKhHz8)^-Hy^{gQVj
zdByDy0g_4Su;+Yu|HpWD5Q^8;sp8aJ(tGO6NgBi9t+X^WCw8fwSb@`4FZ{t~-}03#
zbw$+cm*#9hSvs+&*P-yoKqmTmGQk~{U;Op;l45KZ6O)shqAey@GUflFmk#Xy7}$sA
z$qv2&XVSiBKP9qcLsBxlFtM7sJZ4;t_`3W^ItVlqbvVPXCI9VX@H1PpRd2+#ECkUP
z=rxzFu(ayaUqdins#nqvhOd15(={s{>2B1YXKomY(_C|az?B}u;-zsQFnmDGfcdrO
z*SL<;Yi+qBIgrVlg$;JnZ1L|U=w~lv6;3tSLaaVt7=brdnwn(pLlb(PBulwc+>f&=
zgC{G*jU5S)diNK09Qq|fOBXH4EzQ!Ea*@Umu8@>wzf^mt7D8fTVvkkm$l6~Yay7KY
z3DLLegS*_m4%<KcoQUO0PU>q`HxCtKstbCKy{q|#A#xC@Nz7n{Z5Ly;mwDoc#!SkZ
z7Acp>%G*oWzz~rwQ1A?&?C@gsMbWXsGSZ_|J+-fyP0e8$sGBQq33vD+{u&cTfoAt;
z6Fk6fI*0I{MYa0{?BZ2MpJuhaVOxS}nL7bWDDQlQ&Cf57AOEODf`(lf#7|Q&yI@C>
z8<VnDao9fG;nHhQ&5Su0lETsaJDiQv<TFm^{ie_O&h7t*qEbe|(es);KQ0NS(}EQp
z_OAGnsMp-d*ocjwp=4Y>f03|0p&K^RI(59XQ<e-N1PztLN@9JVNLJYi`bW0%2$PFe
zQ5Fe1K!_LSuxWMf7^MZBxfKLKCfecC0Yu6&UBSICQCM<KykXW++$!or+2lxGY~uZ?
zdi>t|cnqMin1!>keh|{!SE6$Ya$WuN=a{=3j4vP8H-p?^yrKNf-n2fj78vA47b%2t
z+CVfgvk}1IB)tp_M6Ad^X?rfi^B%v>@3zG>Ztgu0557$V@x-i=b_~M1VTRbUoa!t!
zC~?OznA$V*00f7mC#<5wqockfz@ui~^NP0vK^ar7UO`%DJN9(GKzWXFVO<8Tq`AW|
zQ2&nySJ-^tr>_m{0ORhA+X2jhap!T~4oJGXQm?mU$U`a0{5u85?5idZQ%x=*(MA$~
z+yl?Vu;pJdMDd({eSi3D;0p1VH!n^5U}a2E=`_;$`Dmr-og}v39Tm^^yULGdBT&+W
zq7pbb`b=o0qr$s->Nu*&-T0y}NBJ8;f3-)C43qMx!`dpG`cfuiE9){w6N~l_+C^dY
z5*(^eM@ijhf@~cd0sF!^Z|8CT|6b>NQ_R~|kt17fcHEWzqj-gHOEuS%`V`6i%Mh)8
z*4A_Cx%SIWXHk+Bud)rqYQXL;3fM1qk!u%|k|(7HT;>j@-CNg}MBqn%1lBXgz+yjo
z^eFME&>o0}9G+f7vz$}0;)xIV1A-*^{$eKor@$nDfDAe)A?4^s?Tf|&W7wt5<9%ma
zoxO_=?43;7z>m(S)$YRAF0Mm?7PvR!J|FKW-fm$@idgZ+YDblr9zTwXIxkn3rie+g
zfl)N&n9NVN1O+A!K(fKJDE6-GDO1k6Kw2w?b`rW6Re#Ds{5Y)Q&cd6?y~UA~R1v+U
z;6j%9GChh+g)y*bJ5K9T+o{Gi#S{w7)#-?>5<|nH&LA8R>EYw2*B<{^!nW$W5+2P;
z3xzgbvc6!nojSS5B^ckMt#3AnR?`}JdaXv}*MSIPqmnXoq0?0{f4H&JN)g`h7f5Mp
z^;`*bs^945g7ZPOV@_wLl%k@d5t%N<X+>)*aqLmo&B$lXsMn?zY_;x~*?DYW|Hd*J
z0VVEfA1Xhij^+A=lM7G<rj7}^IVE`xH`^Q-bGW}B^udlhEdScYFnHGbv%8VMlR*#@
zPp*<YSu{hi4+;vhnyhgi?*IqJEr1v%(9F!tiiD;SZv|vf5W<=zQ5M$db_mdnn5ZZM
zO}*&*uaV*@+D;xGqOK6sxl$09QvxM{J2v9pZwYc@>`PojQvR>CPsryGnrT3991UvE
zpCxd^=y7Q+7;rD|kMa0+FeuIX`Sa&B2)IP_LaW6puGg0O)ttC^L$t`~`nul8M!>Gi
zymVEI)8VtI=vGsf2{dmOv!lB^%E+ws=??H~kqh<N8&zMN>}yPC&SYM&gwEwo5a+q?
zC8J~Ri$U$r%hvf!DjAxVf{H&xMH#Sb+ZEpbBD(O?3|JJPY(F3eX&*l{nH2;af@t$6
zb@iuNN|h(^N)OgEr1nO;ajA-~td3&&1ASJfyH&5b>p5{xfpi9CFT{2h&911Fl+pqv
zA+i~ZD=D3_7Seo^<T~4g8^Z6UH-M+Is=!Qw!4>ceG8YvBCM)e*@2252fm8d9Ey;Bh
z5A+8)Vgf}K>v<)882(+#58eUi>w_bp0p~7=ULOIlg8J;#jS&lkpDJ*ef*`aclt1A!
zzf^p;YRhH1c5`iMJ+X^&G{zkYw>iS6fEeQ+d7m8IgrJ~0OjafhE|rmyJnvENEl0~;
zKsgAW)|KbWQU>aC4QXSVNB{RKuO(0Zsa#`G+#Gp}D@q7O2i;A)|7FN$?JSi$neaSp
z71Gf$GfeCIN6x2!oOjyql%@CV)D0a?JuhA7s{_V+ptuPPS(WIkNyvN6&1}-Wc_w<K
zIKjC#kVe1<m%LU;HqH{hz9lbgOJ6^a{0J8(Cuh1NY(Kg=la<A)D*y3K;jwD4P+ECU
z_+T6|?BTzuBeSjE_xIdSr`&6nva6b0VWgfdYdu;{%V)E*9%K|y{&wi=wKAAdfv~cI
z;n%C8=oq`iE~`Eb&`Lm$9xPz31a&MM0snca>fO^+6d8NkGB%gg;8ZPlef>;1$l;`b
zkA-=B731(N7)De*dRZllT6u}pen(rFV-+y<y)9#UAahHb$ts{hi0Tzo!VI=_me@Hq
zKH+N$xIQl!Gl0fO#sl-*{I7Y|bpXzZ1)AmZGZVE^G<H++?&(@DQiYx-A&-}b$26~W
zdKH&1Sd_pe@5v6&mkH1`am`%99_7JD_wyH>#|=$dzZ}v=)|A>7-ZuMgrsQQQmtkq>
z+Hn6%`B#?)7OQ%v>Yy!P0ykx%MJS^Yc(`4ai845TLlJvA%uSWKfrXozAH;(99nCrK
z-aG<n`R}s+sGdB7A&iX1mAC=SA@1I^^CLUzgBoM&c{#denClrxAvm;!wc6a;!btWJ
z1}DgtDScaYQYUpuXPW01%mJ3$)$xltw2)jaN3Wpg>3l>)1S-Y;!?4|-AeUvY24AEJ
zi6^^}ODCl@1phuh$)Repr;DX;0jTrM(daF{_p|!74U?HG-g3~qXrzTOp?9RTe&$vB
z+4AZ~x;r%#KjC|0-zTZiQqVgh61^Y|(smnWolB-5d6jmk%+7uJZ=_qA=QB&8B6=hf
zDE<S!k@=$ezg&REyX6SoS<2e#YW>Z=W|q=-+WbWc@I(+9B7{>-4byZpl`$ajh4=2C
zMkI`7xu2*~zqEMaW1)6it5!Lk4J?SUR2s**#u)-^PAwskx_$dTw5vb3+<Cn8+vRC4
zX6Aa1Z^kcHH#eJS05*<7Nz{gYXy*Ly`qoxY0-rJsk_l;ab9?_C#Lf@4v^(U9oetMg
zuN%zSrlzJ0m-ddT`ZsbXUHqEb3ge|mY;A30fQ@BF_AC7wAFuPys}S}HF26V4BTHCC
zZ*-lz2QXbzzH86pw(9Nrg1stVa)DD6+Y|%dizR3paC|(M%>FUw37-$i&4hV2W@hHk
zZ971<W=*D0=BT~NO!=h>Qhlvfy(tD;vvP05<X(p6j)6cDphoAtD;qvuf?HX0^dLQ|
z{v5oxwDZ_9A5A!Lk&^d?KjV@=ID@gw??@M|;}qu8B5zNBbCCi`MrqDT)4<9eN;_AN
zPTKjTil1EVsgJW%TGV^I;@XU({>ezfXdb)#iox_YZ1?2ohcf#3*}QvM^(kyYq>g?(
z?9sTde$^*&GwCXL$QoQyXn&mn=$?^Tp2{>OvcHz(;ZuqH{i3iM`U=#8|2RO^c&SO3
z+8`M0#0;Cs$;H*$R92>&fY1|s?8&K*kTO3@#3O^|P2g~N-!G<~d#_2fwYAeNQk5gp
z+Va#XlZn2=Xc2)^B3d?l=$fOLg&fF61icQ27lL&`f~j#$)md`{<V9m*y|0SaD_FvR
zFFv+p?=mn$Bv0BoC+Q1Fnjicuo`0R16rr`_T2Q{(Gm#frrcirc=`5O%<!^CXs)W2N
zn>r5mBBHtqJhKiG=Fg@xHKYVp;tq845z$PxC+)J9T`SixF2ClE8-GazX2RkMRscUS
zFh<(@-!=Rj>tsLos1u%AX?j$#cT#DrD^N7RtDE6|l5f&_k}4-VH}z|w?E4|@V^52W
zvRw1;ktspdGDnZ%tju*QZM&i+w%^ZJW?8Oof<P(LMGEhq>)SU5uS!8%o-llc{Q2LW
zEawdUk`LW#47?uSqi~pL<|dmv7dHTj`TO^;`Dn<t-Gy(50Z&lQ501Dgfgwv9FB=37
ztzTNWa&qJF%*$6z9YC=&EXk9CAm_tvm_L8h>8X8AWxEwviTo+Q5GDp9QKuqH(q!>Z
zfQ!-s3kr9>hg&mwa%nUXxN3b3KLE23HH15R=L5MIuv)zf<k)oAOlbgY2}zwLY|qWM
zz41QqX#hKhFU#BS5abwo?Vm+A9}d)-OJQ(rq9^{IyCn&=V*6Xv=E}Y)FFU2tnA#IL
zOLIRBE32eb2r6Ey5UrcgWwjPuXfj`xb24+GecM37=AR^33va|oR4yo%!c;E97Jz)_
z;s%7w{>jyhX?!{It8xVW-9di@SG@TL6ad}K@`8g`hrW!*ON<h$K&;aKOc`_*S*8s@
zh&Pk^(0-!^MkR&&2Z}5`p7wW=5XE{Y5tle#N)J7Uh-96n4O%vj<o!H@nfG<l9yuLU
z_bho?0Hv>Mz*pS=;-TuPkJB8sVU|LFORALlg;#j7SYspQ6stQfFWfI=4{2?+?@N4-
zzB1!C?K&OGfP4+WGotZM<RB76&Bp*Ly8vS|Zg!onP0}VbO+eB3vn+h%7s}qVaHRqu
zr-RJ?(49@9z$`9(5zM{ZAPH{89Y6&-0Ukqk*5;e&I3Eeh96E%i%oQDzDV4Clf|0bW
z9&TA!_jPQmCiz~*Jf@b;pA7lS%jBqnGAA#w?+=HSK*F(xr`M+AAnh3%Fn7Nb+Suxv
zLah2#_CJ`Ae!$7CAjd49S*Zsn;=i%$X<`K6@)$-=AI0tc`BXUt>qGBF5q;K^N-tnr
znud>SzNvld^o^t#JwqY3A^>#U#FL;&TaU+@->KU-LA@L+0r3xYV`JmX8G_uLHz<@5
z62<^n;fu`0>d0lB8q8g-nF&s50r=5IreYxW+$t8U1d=1-GPczTk~9OFf9VFqSp*89
zQxbPu9$^Eo59h_EN`iB*0p>*{@&B6AS)lJEnx?p9S-$v*I<ebDXeeOlqjS4UzjT)6
z=j!^;RaM^Zcaj1foSoO3&tliorrllusqUHTK6*2orITOwO~Q2BMd+1n+rWkZlxWJ{
zMGgY@27sEuC+pm;s=+Sp1BZWk^={Sdb5f(kw=X%<0Ga_$8h}V6@Y84br8hty_koN>
zkN~(}1YqY(LzkM$K-8ZoaQ*bWM>7I`BdL!86b6+MaN_A4C_V<2Agml9*~mQ2E@(3<
z<NlZJR3EwKakSMcHn6l|Ikf};?q&-M3(cL?<Tx0>hYR3lb1T7LQ4_5>p+`EN+v)jC
z7|T>p$m%_gr=3we_dKrm)iaRZ2bB06ngLYCd92hTa6uP-{Oqhm)fWlJ49DL=larI<
zneMhYt++CWiwFwG_t>2p)ofLNIs*m8S9+@Iv%I)%A-dB*1cgDGDs<v3o~I1*elWr@
zIz?9WH`ZZura}CheM4Z&PL^AcIO22ti`o7kkgG(Y^~=lYWs;Sb3K<9AGP;~qCEO63
zwVdLCY~^8#&j}23A^>D;RY^GgRO^OrR7%hc;$Wt%)i27;TK~r^!H9Sa+>O1fjI8wB
z9g^??7l8b<H~Ox-)q_cSdwaM)`39)!HIRh}P`x^xpZ<7N_{YsSG7iW=I!JuB#^qW}
zUo2M_s7?*4iRV2A$Gn9ZvX?-4`dysQP*;b>rf&UxxieIu8&c&!sw~n{;;&<WH)XJ4
zHe`S|s}yQ#9<Y?a0apDzH&rQFCY=JqD#;~M;v+rvX|p1gD<JZ(0HK+Oi;EC-(|P~v
z8lAlvNaapX7#hI8v5wN*k$TO2Z2-(ifLfe%EPECcc|{5uz&l_08r=ZENT<y-odKOa
zIsrQ!fsE7`d`fvKb&?n4Ys&h<aMQQm4j>Tz{!borLI=e>)RSdNnXH>3kORE#)QHvJ
z4fuzm1({h_2q`aSy7QVKpI}1TAC75QpFMS~-&p}HUMJt`O4m->z=rHSUJcf0Qe~3T
zKD)cbvmofp#q~Sg6;N>E@;<Ql)7Voz5-3z$kdRSi*_AZ4?_1zFrVvoOBD}3QHw<|P
zF9cz4Ce0@XlI#ISqK|zIsFJL~l!zxUKOvkMfbx@P`5oquE=-ge1T+Bj=f6eG|Nra%
zM^<3iS}Mj@gtX;J`l<a~_endb;mUT(&4ro>Z6R+W;Us|}aI#B-o*2iui*vV;-XVP<
zI@ZkfY`E*&?#Q}Od?Y?`St@>EO=oV>KuMm=CmljaxYhNxTd$5yh7LzxUi7`<ZTjRL
z^laPEs+RCJl-@h#{BJM1S7KT<3fPj8m~$!ilov`!?kQoG+q<$Bk36f|CM+s)l{yGP
z$}Zc|A5)&T2o4LS3SlyI&u>BIYUls5&TaqCQ?BgI{Kz8TvR`H>7w%lb=<4;zUyTTj
zA<ZH`KuO&*5fzus3?^|Y+?}M)FPjr4P(2ZGKc{4p-jco;K@t0Cg3g?zi5!<k(RIUX
zdCJ4L&ICs)<bRRT=Q*SGa(F{pmrQKRV}E?5+Uw}So^TT-|3w!r7N>lA^crI;n2>Zy
za@V>01E6R-Qan!HqNthr2q=OX?6;0ohC_H02QXGrt$#0u-igyJJFT?GkON979&t{F
z<m9r(lAH4O^EfW?XSc=&8LbsHRHtut?hlgrksZeB-_Z0<?b*>U@nVYWogVgDGE5pM
zgRY}LE>5Jc#n9cjQ7IAjJv?(=NFDx8G^oLTDzU;v)w&4fDeufttkmT)`3Gq_JuI^+
z1=}!Jeu-0vL6a0aFWnp)lYPW&&fedYe(Q!8kMq<SNg3QLxx*l@Z-th$j(l3Z(Sh$s
zJnsGEnhRO*Lp_y1c7M)~<Oi|ULs9Ccq${CWq{Ns-u?AHCA2anT8T5_>+fRjYCO}>0
zUwAj2>BiRBx)9nNs$V$LXn1esV%?Y&ueLm+OsI-h<j<Nm;|A7O+?!Wz1zF@?4lX9j
zB`H6*DIBRNQLtH$XT@bae3)u7vI5w~43}ebdqe3Gn|0$Ah7BJxZ9mpAXUjT&f~Prn
zMlwqSbGRgSMhWd7I`|l61|N_*n6dHvt0**~ovdlHqN$!sjx66bJ3(IG1|!0Jkh@j=
zLfS_Y-2z-(Yv;<j-!_*l@ToYlgf`b-x6*o;<0za7lQt-#efRdQ#1|{=fL2(ly>jQf
z76WLUPmSm^v2C8YQj_AFKu^71uGf{_U=J!2JJz}BvM1U>()HPvrMmhaJ2^$Tii>q-
z6L*2j+bB^9tJ=0r+=63xblI1hAS&c=icQ^u1LcJHGF~R~ZFgKb)t*JoKQFnF&c8)x
zXyV4PU1YzdEEf?(V6KN#^s#Ka%$+G+_N~{!=yOfcBXo1;w|%Xj_pWPoqR6b}w<Y7S
z0$4$;bNeUPH^?$lEB-r&qCH3pCduEyeWN!BtoBM3`7*J~;|T*qrTo*!r=??|fIdl{
z9=P<(<-s8-wHl{5j{Jj^G&xkkkBYpw<aN)Ot<(|STw;@E9HV{WAhV6!HlNcTOlhrA
zfMNN&-mQfTZ{MajFnYEWF`fy`CqiB2+H^=nq0nI?_)Dm*_Y5XKL^)-7&mmraP%)_Y
z#P?PZVOgDGb&BGoPhz@20%=%?J7$^-v){{79}XoVLQ0THp@wsqkOBKXUlMozmRfHw
zVrSH>yGF@y*=488fw?N9WIBZJmP_)NV>>rClG1Hc63qr)@ghw0V(G(;naSqD6#PHr
z4%35nMEL#TL7{>dd^J3;7XiIr-68$H()PQZOIrE7aSSuxFH--dRehM+ccuG`xBBp5
zVyYB4??#!dOkfZ}S^qNCx7TcIRx~CE{&w+?WkIe7+qOmA#TNHieXrU$^T=rp0ktij
zg6$K5?GKIz-m0F;DU|__hOZoOTDy88O77A1eD)wggc=}$a*(Vf3PTw*)^*iQm;5Au
z27jqts~Z9@6MCzJ*57&Z#35loq<Qv9jL7vHH+=ovYBQqDTJ2p^9-Py-{UEL)aObJ@
z_JRFS!<AR`ZSz|JPYZ%S7wgzms+yROr3$5N77T?T=kHgBwmqcok;Fd<YDs>p9&dX8
zsPv2&WLNR>F0XQ;C3izxG>P(!f+4~+jq~%lNLzzi+gk~Cw}~eC{#pm*B4k+Zchef2
zqeLDLmhF3<4Qr;AiJy}AUaFhAVY$}=CnBdY<R^xnDIaruUr=k@p8H<8<o5evrwz$p
zso!VsW90T{M<RaQWmMo`x3uxAEEpYiV*t`V2Blo{7v+X==8oB_giw;k$4~--XRMkv
zjyd^u0<B87U7r}QBfZpGjzdJg==OYe$HIa|$Ig=tSY0XR>BF29p^E<+quf5rXIb%U
zWVIwo@ztCqd6DsD5&Le<yOwditC~MTmHBk6sLVwpH)~0@igqV6E7$r$4n4eXyY>v&
zkBGPq6UGDybBha(JY|!G4jVvNWx~vd_Oc+qBgCj@X!IO~MlNOa*-Q!;*IrrQXfrj9
ze;;=Lv_p_eM_;P`f%zJ=mA|CtE0u==4K*jju#(hFSXacmVJoY*B0``gN$W1gfXfx!
z)OeFJQ{N`|qVa{Mb2z~`B~RixfBEfq7yEQezOj|rd{}x^aO{lL2!0|(kbp>eupzm(
ztrJk3{AtnOW;KsICjWLmuEo5}x2joiluHmO5-fn8Ju2>;%W8AycG9iaWv?l(k4;_V
z=!@^AkU9GEvw=N4qC9rNUmqDkSy9TMVgI`8R!PtNV#WODmu7eRVt&(`Xsz>gamvTY
z1pj)jw55#rGBpAS=UU(62LF|M#-jS(6S8f-ZMs|JK?$adr?lIt7yDN7o7^*gpTeWo
zxG-7klC>v4iIdgyC*LKq65w5kf=s_9Wo4+uQE*X;^RYps>-7Oizsr|Rv@?hH$fk#$
zi7woJ!!M-HiLa@>WZZIbShyz}$q>w19j#;R$H>Ujs*AVn#OU#w#m83jL>8Hk?Oy$e
zvQ-iNzGJ(B>*)BVx>Glwh?{DJ8G#M~4~oVAn0}X!Iqnm2y53Ha=r8<RsEpsW<jV)R
zQ`5N&q~+Z8IL7uRhIV{kqHBtckcXGx#F~O!q^s0I@OnZpwG9~5aO1|FgUjj>XdfjP
zzp1Ul^E%CD?K$;bYF*Ql#i{UlA7|>>1_hQ*MdeG`*&3Y>CvS8-y-W3koheJ&^DXs{
zxu-Xy(bQp|bU$!b@g2W3S8t6BJRDoUzyl6bk+a>k@CD5kH?+{wy?JKp6#96b$tHjl
zPME`#M@lcW7{d~LJe=%38%S`X+kxUUr!E84h>(;!<1Y9T=<(>t^Jt5Q51njm4+F{T
z=xmac47evIUU-GMxJQ(m;)~|3m2mI&?{13T{h(&+u_2l>4m1bbsTM)#h@9A-U{(lU
z;Y9{9$H1RYV7k^;uPT(AB_M88{yl4F`^N+nu%+*w-q0zXJCEbl(ceB5*jDqNK&^4^
z5V?5;aGWHkf*PH>L!W#_<`xsv<Ba>)>XL1lF2^3pl;N`zF9uU0+ew5v?vuy$lEjd*
zhetnPx81ZbkkT)7;R{T2eBCC)*)<WX#yxT=mo&7E{^I$!H(}3jKwS7f(|7v&bl(hA
z7Cs_v-AYs|+|Yh#w<Gsp&%yw-Zgi*Q=^b9kB0sH`3A#`oKILaWbpGV9@-XRHv-4}n
zDs}Co(DGli{tDn3%`;jzuT-_cnIW7M#>s8s9L9N@4<kj8^JE`lZkPT3p5tXb+3P4}
z?(`V)Q74oI622gMmnys6n4Slyf=qy&49ilGkZ7x<W@j_|6DZA%%5xdNk4lgKakXxL
zbSn>yjF%md`}SKHs|Ds>L=a9&e5=mzN~A2|4@Y3w7w(4-bH0onVyi!UFg?=i8JeOf
z8vG%bq#{6TBXFclbzNNre;0%>ZS-7Rk4+N{ByRWBk(B2InV1FY5$GAV>qBB<ejkY`
z2xuGY;~KhtQhvo#mg-x99lFJjF*siaItBtnl6OzL3=#vciW;VaBOF>@I_Eaoc{Dn^
z*EqZxv^#r{%Xp7TpY>0u;0QZpZQY=U8R%0IT(KfxUePL6gq@Pk#C5$gy9<VHdsgrB
zzpB)Fn5^^2i;fKDL-qB<5xU|@BLfMKidn$=(}yG+hb-1N5TCM7dIxxHWj(_O<5VBA
zY8_#3{VT*K@*b{}_%gEAZ<QNjbE@g9S%=g2F4YH6;Kk+|MqsB|_9H0L!JCef<~>~f
z)^LZ^&h+5@w}ju7Yf(sO-z@R2hV-o^JP6iaPE8Qfk(<+&r`egLGM3%8T`_aQt{Rb*
z@vN^CX0LG(X`c<vrc~cz<CGh?*=`*M(`%T!ca5Qo-0LmJwpdJ;^wDc80}K|3G9N}U
z%=AoX^lXuub4$o(WaIpa&748L$sq!1e=Fu^9f=i13t1Dh@xZ$)p`;neXCat#mq@Gx
zrw1cs8<a=0kq*7H7}BN>Ib^JH>pK*4BS<!#!}F+n|1NDzZyx57&qwxn6z|bfvbjKS
zY7h=UT=teF*h-aL+=y7~bEKSk+~`*|kn%*sauP1C*WYh?{C&!&?Reer57RI(#?I>@
z$nAF(J*PJWy&@_u$NhYzQ1Aj7f4F>p52yQdsr0RoWG}Qx?`*pz5Wcr!(sfCenEH8>
zfaAY-i=ikc{%?U<;S7Pt<NEdl%>k6RoD)Y+PbzY|ph?kurk07wbuO3;MkCW&PoyJp
zAl)h`N7s>J_;j*pXYT8*ZFCaYxz`xK=DTFjB?Z+j+3yjXWZZLHW(9i_n?K8JMcMCZ
zTAE93#mzSv85(0ND+6+qS!=AmSsV{6`lpt9{Z$W3zAjs<xhJ0oGwf?sM0(EM>|7H@
z()WlRxpxM%_Vu7;K=x9iSb?`Vn3%e7(>#hLN6*+<z7{4~J1=Bhd(p7;`=A_eN|IYA
zb->B$Z#(O(xZ#@}o)WTsdL_yDf`ltey2qF3=EKOAbB}UwyjSaJk$3x@?Rx|cpNaYk
zgPQ*Ns`Bt5<Lkdd%P}8mat^M>-C=2I>tP5G7rWF%hqH})-@`<XBG1$q_JUr+@oQ-H
z%4-O01>e*Au7H-RBN4f^wgsiuP~Ba)#V`b?n|YFMR5}c$De4y)s4}_3^vgf6W>(~v
z6hQ~7@YqO6)5t_ws70W_e&hBQ&zjC+2C_;+Gr2BKp9b!my8rN@ol>UH5=1bk)#2$5
zCk82mG@Jfhg$taqqb{HSwk}-K<LpDlCKpY|*{N3)f66rwrxK{3WBU5M$}rchd+Y}6
z8Y5kg%41cw=NG<r%#nsiy`(2Zn&ISUrmb8%xIxsadW8MZ@36QufOPF#lN2hwT=EZp
z+b;MZzIp~uxh+i_t(wy^=4N4A;zv@P!Oa()qq7q|^`3#^p0oVe*q|LI+HY65j*jm8
zs;AH>nc$$@j*7mz0AIhg9TgW_=u%PK_g6eg@2u_UA4Tj8@2XV9wQVwm!v!vNDfge2
zaTd8hS10GkB#1}sqD`JspS2Z&D^^p=UB}yh(}C9VG5x*dHq*QQ&J<NSxycI?I2r8^
z^S13hH(NORxP>mwKl>pk7r(T7b)v(6xQ!-G^Bte20PV$qw>Mnun0K$zcWJ0T3|3(I
zt{5G!87>;qO-+#%l|6?#`P~x8q!0xB+~Xr``nR)y`|PqS+zXVNwjpwcUw&ikOd*%Z
zOHlgJ8S2}nulE~R+NTb8y#lYt&~j-VzoyaUIQTIwXR}K6Atv+N3lgda-D>{V3(U7G
zVsqlNhO@h{xlXiHF0UrGw)tj%gC?w>{PG|u`S59LFy((Z@;t8YHVfT9k&fi;uj!o~
zwM-*YGMHsK-V>S3BE$HNJsJHrL^Dyg?Ok7-m-u6-&9nsTGvtzEx<sXDJU^T#b-Pva
zqkOT7yF-!UkPCs&8k*eE1r6kXK4;yy5&3Z!ee{oppRx9-%=BDV>!+E6uY@phov#(8
zwGiayyEIGQdCH_%;8UKX%JNZPK*;QTjPm=K7#r8CAKerKq&qdwMShK60S*JiAcB?p
zRE)0}xZlTPc@$YAGcYTmp{=Fva=>9+TSC-$IU(%-vv=Y>N6o}>DWAoG6Ag{NG7{?h
zRL}e!cyrq3)z=f7+O|8am9QFCQMXmz*3^*BEo671np_+@*D4tyN^)=LIK%kp))<A*
zuR5RV^@OZ^CrbXvs$&*l0VeR_k=x^fGn)n4JU5JWbx{d`jLhLLM&E!RP@#tvmz8Z{
zmJvH=ymF2F5qHl+=a78T2iQ}|IrlT7L0LMi>n_^Q6!6>pphSkbi=WTeclA?z<vY#~
z4Gl#=8iiwT7ZJ{{y9`ujskkKDFh|=I_*CpO4(YLH5N>7m3vlJ|Msrie$Cyp)(2T`<
z@?A@2KR<i(gWaMZ7hC6}2ySJ|Vtr8%ZwS$G$`6juY{dIiV}^=j&Wq45A#P}e?V=l>
z{43zGEK`6SE|)fdz4Yocs$WS-My6gazNc8SN(tI3nbc>20F@HiqzXU*D|%M&3$PGv
zzC7`_2L(k3p7_ZZ5G%>5GEmEA^V^t+RYLm#RQ&&$@cmvW7|6gzL)VxPURERFzSn~8
zux9@>!s9S!o;%sJhlJNa;f>9(K(R!x+`U5o)E_(VmfmMq;=4sTJ2h^1RCMW7OL<ey
z=jgRjQ^F)#$GDjN`6>P2j$#IPf2HnP#OB^Va#Q^8?$Dea^(KC=F2xm4dGVT)YF7P_
zDnT@1;fxsk07>b9*aXEMs~N&pD4vp%vg(XVLITR5&e!SziMW=G>x@6(i)1Tw&Hulr
zGG8^hn_0e(W<19w^`4-ZdOPNP{)m4tnO5EXKuV>%#)er>q`v9iR`K|%ni3ZB8<LFg
zS#Pwpz3I<>o1pSzX+W04LwX@nEZcpV3IF5I_9hd@*-n8LwZ>=v-6>GEX`%9`^(Y6@
zwOo+pa5qIaRzd2d%gDlaw9v$Dc7{ORxptT&z|zZbF>L*PeA(98TEO$%C~$a;qD1tP
z*vfyo09DOMP+cKpl~rqlij9%L0F%k?Aj;B-4Y9yYqohp_bomuGi$&0+rg}}td4IFO
zU3GW*x!j+>#B_oxTU;{F_u%#VKx?%Ci)IWZrA;NSd+zKUjrNVkLisKDxDvGRX&j}C
zxIYOQX<W4J1F8$8Vf1VXK9T&YS6^R8JAMlNm?y7zJHux^>{bo}<HJMt=FL#kx%-W*
zbOv!@8mWA=7c^eeKzKrgr>%QF7yJk;!pa6V!#BLOZWm|@Oy<UE9tUNrtr}(o4JyiY
z;|uU3Q-QzH&DXO<<hW?Ed>w9K5$iP@X06xToraqPD+e8CEyOSW+Y4mK-B&4{B!cO?
z637QSn+D0DWWSth#<O~A>Rcvw&&{!hFfU+4Bq4x$<c;Jdy-zir#5&?s6CP3&g0c9+
zi8z#1QgQ<|qb#}jz-uP0Qbrr8uJPaJnYfc341|jA8Gd)7o$zoponoWzSI6Ir3zj~t
z&XEp^$R$?EF)|9l^2M`S(hQ=*=ttrmx4M!W>(fk3dX}++S)GMeZRF4({}ky4KF3)G
zlQM~|QpxlGb~EKWAf0>1vlKe(6-gimsn0&hYLplv8u5*$C7eo~LuH>@Tm1@NLk=iN
zpjLN_=^MJ4$D0-j_DKh%bk}_~w$=p?1853f6$?HZK1Tm4?{bd%`>s{edj`y^A#Gf1
z`?}R&TQVtew`i_v!~;h%n;Djz54q2%w{QH{q;8%?p?uvCklwH^3U7S1_e#5uvjYy<
ze{%lk$;9s7y*uGnM@ibh@qOt>%H;SA2ej4G&h8c)2Zyks7lC=<{Y8;}m%(S^vAiy`
zO%0X)8av(H>SJzob&2DFi}oUclh1Y)KrNn@G=`E>w94Z88|C_iX!(PZMZ&|e5<&Pz
z%9mLj*^=J}oyh`4Ic;6?=+T!W6K=0FKmPU+6$znn{@b=8(O+j1e939we%8ekH;3D}
zCWUFU?SSNa9D4Os<i|34#4zu8i}la;69O-#ck))aoh`6~#8&3B{|JSSt)Jh)Fufk*
z$CaZFuZ8}NxA^<28p`Dx6P=Ypc*xTn?XP_AA0vO}{%FA0pvM6tkQ^DSdMLx(n?`f}
z#PI300s6MS_5EWJ#dQ-@?-uAE<|XG6ct3ANM@QG{2#$=~%tw@M5l^?^Dv9<nR)5Zp
zXFBHL;aT;O6Fj>4zBo$I?N9dQ7W+4}vyWLAk2fCjUF@eVvwPysPR&9hz~Y0H=P1_G
zLZk80$VHoExmUF2WHnR6TWQCC=k~lOHY6;stvTyP1@}LTO|_+u4DiMipJx)ZIA_HJ
zYq@$}<^~+vr9zjQasm#UK8O4hT`WrUyL`qs{(R9dB0Y#ULyxOI{ae}g`8VkKfO`Ov
zXgu<BiXu}zu|rJWZ-WZ-Y6U$#TxVYJRPHk>8r5pF2}^07Lc?DG+DSYKAo!73aj~!*
z#rh!#ZxKY5s>zcL!1LkN@wK}C2ELA+PL%TlJlpM>vY^K*uhW%Fr;pjL?+UJEH|NtG
ze2HT{_DREbkjZiIu@Q2DSQXD-8kOrGwB9sXT{}-xB>mZ)BrD}r&+DPph}jk&?EC;%
zBs+wsqQUPX3rST78@~tlD>EBNU8nI$rE)c%&G{5I#xj859cdC=;TS-y&~APgJgXRa
zv5Nf&)4jIo7pNK~v#U@y5~B$`*5!eXDA0zG7#kbA(IIvSYQ|F5Uq0M^<6+(fg<2VR
zy?|h5K$%t}&=A;)+7OITD{OoX+lPjC^;_2cDx>6rZOfM!uKOg>%T9kNN^`$BPSemp
zc+XZqCRAiSDo5keai^K=PV<#J0qo{}48IC<N|i{PWDFl07FZ`-%!F<?sKV<4DXpz<
z>LATVJXSBuc+vC3AUkYiPF%sCCdtSZjt^9v&+6$p(qCC0HXhM+1uc}#lhLslMlM?n
zAiQRWn*uri6IgXSCQmMY6-k<=za+lCc8B58_4J=tkbtQ~Cy_S5MKb%#txj1%LE%LF
zj8+9aLi5WxWT-G!$q7=2!1sZEK1d#87C0)o%jNp?M8gce9^cjLiDG48nG}_iYjmlZ
z23@9m70+gNiR9)jZOWP5e*)WLtlSg+Sn|DkaFM2$cuvU9pU7>v#oszUKuLT5{9Y3c
zEBo8Ek8FS4L*BJd{5ofBZ{t`l`SQzH$e2WR-@WU)2A?di6<mcK-EsTqRKWh>rvC|>
z^r_+@W<SPx*ZdBBDl{o4z-UkyY@_fQFaoahAM=;iN1c2<8ax9s-OVN3oEkj)ws&@R
ztUib-u_gN)ib$kA#<aqTMrcCk^*8yA`03sXjOEPgN=M+iL|1kF0{s?rkfOM_cPGni
zcK6Zm)aB+cdiW1Eq}244wp#E3J$g}3s%RLm<R6o{Ck46pK8sT(T(qVRl#Mg^4CUVZ
zEfYYMm0|jehVLGR#HIe)v_Jn}I(9Rs54k~{w8eO_>2{?<90lCk?+yM==0}^F7qbkq
zs28(}Wd;9+^@|c%VBX$As$|d8)Z<5yD@m+L_LI;CdC0+Jf}fZ2PcSy@fUL~y&%_y9
z-W8HOnU&#RtXIH3u%{6BUgocNi+OV9uM-aH&a{eTrHP1;FdBi;Ygb6F1(;&j#eAPD
z%h8dim1kB41~y06IDA&5j+(uu*Fom-_OkQeIS8)*R=@W54Vqu9{<&lii`DTOFK0DY
zI+NdzR)$2-p!TA_Q_hpi6DJ!2)R`y-5I0sX3?SBD{U<}vK@Ds?0Ln6BPub8)!u<pH
zy~^_{q?Y9~-~0GdWjQ&}HUNFM{VWOb=;<};zCbhq>4eGdHmO+aG@6z)L*Ipq=QxQK
z>6f>t)c?IW;Ui1qrrj!K5pHoTQ|!(iMkkgRy|HJXRccBrV9+%3-Avqmfit><C;D>H
zXhl?#O%#Pr$BKgu<VqgTc8Vjcls16ZVw$E*-$R;Lq~*_cW4-&hD%;)S8)r`)w~Y2x
zCH*%xznDC^l_+9`@^np)-<+;93N`v<iwVpd2h7^pDHka^5#LSKaiXL6G$8M0+<LP;
zO@eLlZCED}5rPvV0CQaTj`*WR*kymcy-1t#9g^$p(_0mKVNppcL~E97LR0G%Gh4AO
zDlYA}9gF3)*#(jargA7Ggh$VoOREod!9Gh^<S=4`1u117EqOfB091KMaTX1iM6LA8
zw{Gkmzz#N#hfEdIsWX->V!iM0VdZlEwa|9wu}yn}BBXVsM!<=<EA8OGWIea@cjxMU
zbal~X`omtlSnY*W9fbi3jV=bZH;|O>KZB;7kWf&75%jj;K)2!Kzxp?p`p^p#6BAvb
zx@1W$e{)3$6<1^2Co6L=ov4M-w<%j;<!-EyF1&j{lr^s^q57V+_Pw`IxV-okt;;K?
zj4*4P>qg$u)ErLsYKKDYkvdLe<WEYzBPrP1d17(|DvZM^uYVf%=DYaf@j?kdpO+As
zVK~F`J)iVe&$LPA!_89>1=ubezq@+oaG#|@$Hg`;pVb9#RNfEB#OM|1`!(PP!3zjW
z&v>-+9&AirrJ$gwZNvwL9D*UVRu+F|g!(M075dNxhDBv$vo-zGAHZaD$*soq(m>Mi
z@bJ>^%8ev6!2oj554!F5zC4@xnl?FrJ*{9~C<U3<B~*X^$(CZ^!8MVfHLWaW+Y@hV
zz@tp~{;vCIMMJt7S^0+($*w&1miJTW{bthr%-cE&VlL_nC9~=o6Vp|=4Vp3ekB`O!
z^{O%pE;K1pZ!#JdB#zo;9t8AzH<`&o!YN<h*d(lSV)s^w?<4%8y@k*p4e|nv>}X%i
zS^(~#Qu!5WvaCB+R+sq1K*cw9e<=}q>Q>X{tRpQXazeyW2A?K4dun-|PJ;{#_cvd;
zd9**6af0R=(u%BA88GJI#>?bgiNa=?#s&JPtjXk3S;nrlfY7*|f`ToB2{mODZe*q8
zkbajK1bnrysI-xQ-U@~~+&%<@7~*QCH+i;2LYPPl<}Bynoy?djKvKCGvy2LUh3^eK
z37E?$@=$D8b#?RbMO~*Jb6!##wIzz>ZuuwLu-%DxNst&fZStA0X^G-`tQEGo%lqkz
zYJh@V@G8mT9>3k{9rA-~UdDX#HGv(&htUsLcmrOHt35@Q^GIyn8EO(N(%!>{-Ty}i
z%|Es|V~(7Wm0AL%GX(y$<HFaN!;Vn<F4z*1CPsT8NVbKzlGQME$X7YY|Kj85UXE+v
z{kI|=WV0n?)b`J^+*Y3~J}IzHvh*!hLGk+*^{D^;{+;k-(PPrU5w5P@WgE(+@G+6>
z@Zfh<6>~KH>)uH3T*K-qm;bhGE1mrOA0?7lhM(Yx)b_CFRm~*M685kje|sxoe2XB3
zbKj)~qIKk~=^THONX?>90PaPaTHfFf+V^j%bSGbCFP-v>*Hv=}&<hynzB>GCYjWEl
zD2xOn8<Oz5-Sc`|C1aF$yKqjgsPgZowI2Q3iT0x7Ki<|u1;@$msl>tsOkJtzW<0O?
zm0-o`FPmtkLPga72{{*E`7T*UF)6u@RCcxc<}`;xfm%>!ivF#BQW2<_?^&#curWEm
zwe~tQSSUw8MCe{(D2MZMu=(3^&}$QIhZc}%UzsuvWK@`c<E4#MxUU;CvZfuok_FwM
z-9Rj?Iw@0Jj+OjBl)VK|m2LDdx&aA6Iwb`Igbj#vE1@U~NOy;HNq3i&O3OxCx}<9p
zvO&5#l<sEJ`#$)6-~Zfu=FFVA&gcv=?)O>mdRF~@Yb_9{`{(>)O{Ap8UUyVV&Oh0r
z=GVf(|4IgN-Gz*;G4f7pG^E`(ce8!>Z0^<UME?V;wGY1@ZB>=_OlWaW97$>VTYcH3
zgdi$5M7C>f|Lp5BUy=}hoNo^Ae<o$jZa&wD!ve5^zg4n|-6^%Ep7-+v`V@BDI2z}o
z9V0r8B{QV6-8LI`R>B?bgks!5{gtH~2h+Py^Wq?nb_*vE-~cDZohE^G=kO?==)T`Y
z;hLvV-F)A2^i1DeBb!C}Lnep0!3K{(1^C}6j)}>vpES+o_GC^-K=me-Lhv2cJPFhb
zD^n(~U%Lz}l0iRQ?wjTb%1^4KzToVU%g%0$oGUlz$Ib5wr?u^U_R-ahU}e=ln&|$l
z$uF2tjZc@+<zv=;v}RQ1Jk~->#l?FmsXpA^dP=%~GcP6wiY*-N3uNX>oSJWLc-bct
zm9_aVCoa$fG9hCX#rFerKUhSb+$+$J^lspde9I8jB74s`w<(Cq;E&zLNYtWqY<>r;
zQz7o$I)tKZtHLJLrvroGY{o(ijX1Uv#N~$B|Ggj8aTU(GM<ZfRdKMut*2bA`BF1hI
zaPZD{Io=5<Y_(^UOqeWt{S*TWtIU%=Ev@Yl!E;pb2OAt(wYMt-sRVBrT7(ZxxEY>w
zf6I-{?^?mL>u+iL)1g(X#~2V=Xap3`;@@0H%D9qhoNpJ8zT|k3wdD?X+ia;OhWo`Y
z3}&7q!FM=$E%H#sXMQamvSnRur<b&}qM<6Au0>HM>x)IJg7N*o9S?~dLtzwTF341?
zYQ><WAc~bV`)WO-`BOyS&><1A;55%}IQqY}Qw>ac>g$_eWq+r9!RAa2mv{z0bp2x1
zi;7(~)3Bwi)L?KfiUMw!e}}DZ_11*z-5$BNqX!@bt>tT4I|^!~$A=ayl)(+3-xZW9
z#dxug&BZy_%fBnupc*YBWvpU87x(GEk8=C*aWh!ga&Qh?`uw{stkqYcMFJ}h>ZL>G
zI``^=livH*IaV1=7m63-5*0+q%(vIYx?b}#w5b%8d3+)X-Ah^@nH9a&xys0?H~?;Y
zW%z2|-TD;r8hP~v`Nb<y)ZpDzy$i%crh`QAsh|Hx?YUiM2k@Z5(HciRy-_9@8u9TM
zF2cnjF|B?X@Nilo>-W8XK&pS+t_a(<SHI})8jbpSBkQP<f#h#I4=MM0Oo3an9%3C#
zk&Ia{Bo3{I9(_5XYuo*(dYLniiuJNQ`6wl&`gui1Bly2#YSiB3itoHSnNnCh_Vuw=
z)W0uy1(=s0GGrFnAux$hqHiul7NQeN#GcO7=UBsMMPLhcy5eG%#Z!T?Q*3#I)}s#_
zLv#4FGfD{O5C_47ucYEqyx06q-pB;cE*l9ZrcK`!9YOrR7ohyQVTG<*|71&v@BmTL
z+Y2f2LJZscU{JI^M%4NQ5MEv~6c6fzg%&nhhIsSo?*>X+yGvM1>@WhmRXC`G1y-v_
z@k3dBkT|2%cWhc85&S7KUt15Ee4HqN9*{C*U$;9XTH=|CnV8(Zs%f5A8W6Ypd)+!m
zq=Q|g^kP?`<{r}~h>JAP{&|?4TU*U$e%+RF3Q+zWUOnaUt>BDiti^<Li}Z?_7`fjD
zV#tql!gF0wboRYFZ>5ZRMb3WqS2vuDuc+E{7t%bq)y57XE>KRVc?wnbWUqUHWB%Co
zqxrgBC03-^``#>QMlL7&U6{a^_`ArXIJz0pZM3k(Lq~OwDs2i{F6@2@_j>gOdhZ}?
zmnQ4Tw5ZU|4Ul7+J^Sn93dLL6xJ#&U`fHu-Cc`I@UJj_+mOb>Ts?2}-RAvsM#C4ow
z>?IpX!qYta;<|%>=}n2Z&3i4b88y-YLvWnM;L{K^)kvoOqIUMa+{PGvIT?rX-MJ)$
z$A!``os5A56op^hsnkZ#(iVK6-uW$;&@$U*%c_pH99K*@sWoKm4K6hlgL985h)h>^
zoRwEZ4~JHhYod3i`Eb$l`d=M#BP08pLw#+PVq=DPv|Rrx>W)mZAirBc^e7?};6n6s
z^b(#4^)xSPbB$^ljN+f$`sCB5z+_1Ei=4M+h=xdht7q-cmNFXWu|hjO6dicLT%OQw
zt_Qf^-^QD?S#%??w@H86TlzyUi)JpVZDzJtjIvj^_i9m3kTUv}l=0~Mxwx0F{)(&9
z{LYc`RopzP#>B^F>a2Fx&X`ZHTZ@EP&;wSpU0?V|k1xD%x)af}XMqucx!^jlkBhk$
zjFn|)P*y(mk!tuldUm4>D%&DiedumV<j0g_#2DbtuoGNqW*5EgB|*Nsj#%l=ZrwRd
z^n!;qw>H%i6s~iV5No^zWe_gK|6GaPv25Di!qXp%qUtgpBGgpz@mQ3HHNvX9E$$aG
zc$B}Mq_ePfY_$_?eQEJ$n8q0Tg<EbDr}6QzYod@M7O8aYxKZpJq3`P{7YAqD=pYO|
zr-QUZFNQOkk%5;|V{E<k<*)w{cxb4053J54M#S@1XW9zIJ>^n&jFQo^!cYGGB8Z%*
zEQN1#pZ$XhXHp*-n-kmWJ}a{7bDSyWg|!CRd?%8)`%D>5$7wjFSI!;s{9LHx!)qk2
z>N93^k+t~QUspy9FVTR3S4(y=iF^F7E3OqV5iwsw78=>M%b-bC5?o#7#S+H6?s{6N
z`!hF6B0igI$7DjG#nLI!GFz`w2;p;GedIK`f7NaUU!C?fiqu_O51KS*8A3LQ%%f#g
z-<hLem^h|c4gx{MeNb~y{nz#ha#w+|LMakB;@Fog3N;tAjDgiR9kAO*ji(@H<tR}t
zK()^5VR;fh+1_EmxPA}F*SXphg8zi3W9xHmvp)9Vd%Nz1NY>4XQ7xD`g_x0gZ?96R
zg6%WZ3mg;jL=TNCm1lEkF3<vr>`(D0@rc4PxTMT;Nn0NcgDUmAe9!V9uqE7EjOvxk
zt;P+0EB~d}>(`5Ckl4^=1|(BMSF_vr>i9xe=h>^n;zA$r@}ao73^(})6BA^*+O~u*
zr8ku^kc<1GEiW%mmL{?z&XjLuCyk1p-WwT3Crp3bKhbM?$jlb^3(dvnIc&9rmVsf{
zmWO&gc~UQFQjb5S7yK{tx}v=%`D~|7f0&=wzW->fJ=-9xej?ptL65EuXH}W7do^jr
zoTaCM$vV22a;kn8VoVN?V!yIJTHJZ!W}JR_ZeO?h&e^%&F;OhsWo3^k<YcS$Iy%ou
zWasqzV!{~)!{kSa;D~r&2T?q`zb1448F&>-J_V{AC`fRRRX51*^f-i$R(nkyKi8vv
z-_&V{_QtpyPxkiq2<tDf{VsBIa*{nxwz|;3)_N_tM{=(z-D%s^1+p32bvCb9rAU>*
z2k_Rn#fLp&@Md_Y=cqhSkh3DsWOSwie#igz!kCbtvh$C5o-Lxf1l>BOlE{A=!NrT}
zS{?F^dP&#<?;unB;KuLD(iS!eQuDYz>>jW5vS_VKZ03u{C)=05G~5Wvi^27GdJEnI
z@xP^<LioVIz_72D?-eLWxum%^48Fg-Z9ciDWdpi#W&8FHR(2Rz^iUT3#_G`iL*y4u
zTQJjY^Rv8DnMi-78jRL)dj)I!4jr#+Jq;T7jEG8riFyCa0$%mCzCIE^NtS|M!$7&S
zaYut!_HW`015!#~)AbA69o>6F|H?oDmN05`IFRfY*5>NLxBc*To@vjlpU=nGgwv*a
z7^2BO=uU>4+88Ie!yW(L;lgL}Cbk@UO$iTAjA-fTQn7b#eIK<b5&vunvgzg9a9#*k
zN3)(q516X8>MM^PNK}>9b-c`U{KHzl)UxV2+fBZ^6kmNK--bfbNnM_k{%T@qVR-L_
z{CUKDGHY|i`+gZ<gKTPewy|$NHck{lf7yf|(i|yI+hUfp=ShEv-lK$>^s`>nxPK4Z
zSu{1oc{Z}{hwP173j?*LefN(|b8yFM$nm`DQu;WJp>J9u_%rb{05=NiOA1Ceek<MC
zRvm9Rc~i_uNw>K18)e~meeV?P!t?LSSI?yEFCUr7HTy<8d!_EW(T^NkYm>low7$%O
zDK1|}uc$XNV-jG{C<Y~eKJkF!?qygp-Fm@AdY{u^ekZ{WHKC?<!Pr@s3uHzLEQFjn
z;op(GyaO9w*!WTV2k&g$5C`JD*iF4NCbou0DnF@blMCUUot^siv-G#XIEw@tGgH08
zA6xq!pb~5K;ll@Mlz0b~nzE~bsiV2{L-~mYH%F7ahd&`Zb2FeYcG$D^(yzc*5<Xvd
zaRIy9GV?J8V~R9idotF!Z|3-3$s&AuCGH5+XjrT$6-lCk$pqfezV7y}xKrVaKzC%r
zYy0IzFSyUUKI4af+HPQV&SGQY;<CxXc~Va5aXthJYOh_}X`gUL^!3bMdNW_TYk)yk
zBtRKBfDRu9{td+hn}J)O?{GbTjHt0z&#c$rC9R-?6i*DeCQS~V*?5Re4XWB0M_&r<
z?NQIczIJSFZDprxzfSrOVBqB8O=nPd-ZIpP_o`q){$vX`B(?jHXTRfZjdTLtG!Q%E
zBw5e|Zez_ujdB1IF$L|07^4=)PVizd^~`(uW<<oHZS&QMBwH=N2IWV~5MApD2H`pE
zVC*&#NYv;?>AoWT8@C?povBtF>xY#gvB*(sJinIKUFPq+-&`PRss3G=3VF}vZ8y+&
zO$LbY8n~k?&4!y|r0t>Qof2{%eOC8Uw(4aW1E8{p#a~x}?Q#33sP@(NdNddoj?YtW
zf-U0t!5iP!%*pzKIRR5^Wuhs7{d$8fSMwq3YIqX<2R%^6F+ri%U9_HeWw5ww7!255
z9gmCG00{h*{y+~5Z^q|OB3Qx~2#(bB{le+vzOs0?xR0l&r-6LeP4x}k)|M|N#Fucz
z?HUP2ka>4F#J$(ypL1QDp1E?9rAtXls@+Hrp*IBh4UdnIU^i6z@Ds8&L~H$eF*X}z
zA04A&pidh3+M=dnpiET7)2%VqKX{BsnG*S3la`NG+)|?vEe@AfRGsfIDP%ot1b>b$
z+J11?<o-7@cx5B0Po%pizuvs48%0`}HUt1hpsL{}38dlj*D7?nt=?5T-WQGD)jK)$
zK*{|qDz7s97;m!9KsU905>6ev<kqAe@AC;9upLyn_<^#{Ua^A}lbOsM+)b-6k1Djv
zopHv%&l3IzUrpwb9W=I=5jT>+aNSr~SdfP>2#tExUbrMpI>rl)O;2m>ijfMwEUwAx
zw;1IV)J~;7yD7Qj<Yjcj-QCkQMV+Ivy%-x=p3qtzWyJtQY-Ku6ajS;4oU}E#TyZD@
z9S`kE5AE)UsMOzxzGJed0(N>o{*a3t#rCJphA>fryceJ*9`vAkv-<cy<k7%1qCj^e
zmuh@ihm}@BAd{rv{}-Sj=h*f6W~6})n8v`zeX$Ccw@?1|8|JZd7N$hoL|C))X7{;j
zi<9KI`VT@3{$xKbnG2yYk8fje3*O7U7M`j>$1M?NC&!Y}{aQg!8-jxI{U-b;Zd5r@
zh8QW|od4+UOSgd3?MyH+sXYQ6nibCLX%M<dHTIS^YQeMB=tLHPmz!pXWt~CNhdZCZ
z`(p#fQlvWL?a#lwA`a6C;X(jt0pxPot;v3{h8rIpsNN-|(Z_zQN3&OWy{5y+-FcLX
zi;q3d@4TJsDu=CV`RX1QLDQ4yn@adg$EL56^3>i9I`zl4&?zwq=ggpTHjnIJd|h;q
zl-VNI)S-%E3L478!$n+HN9a+#In5cWCAp5GIdB7aCMR9-sOPX;qhV6>NiM81xCm?y
zD}C8iuj4Ex1@%?Wdx80MB~b!P@IH9zhHt>Q-u@pH1T?X64O;Q#`l7isQ=eWcE&`mA
z1GM9d)ep(-Faz?!xbA|JEFI{To37}+!+lZl(s7&g`-IUfRacGk3gy|on3(^#0REJy
z*)n|%-<UWLVXQS8-}8)zO<aGt3^jrl)uIv*1(nLyeB#k>-@@Toh1Cp%cg48TitZNj
zewGMVc$K>>xRk2QYl^l>)2_v>(C)xkhSC21l0F_qxROtJ(I%`UIQ>dECHyN4<doIG
zgq&ym3qT&t^oT9(*s`#dI<pIQUSR_FNeGKfc~a2}k$xw#u~~mH+;hhT)m-3g<lsEx
zY7{4_*4XNK!f)?UPGipSvcjPR0U_XXyOjp>ZF*jqE3T3dG_ti?6Zt&g`Ewx`eNyM6
zdvma#hJk)9KRAtxU?;&={eRq|VsndVjgnGSHYOH2l;2WBIM{ajlIG5|zTFZYGk(3q
z1=s?X^1!JoosZxDTh$_eQZdi2*93b=y>SDX;WlK@Ud(YfUW3SL%(TMIHP4c>?pi)&
za;|)8>j8)rm4L)O79DoM7^*1Xfgw1I4ZCl4-;E8B+BUT}IWFsABgGM}PZ^)7zP%7V
z!8Z(`DQkH<AfA}tIb*PaLpw*PyAVgckQXLj?ccMdZsx>2VfQ#*W$%oS_L|@geT%U5
z_p$V926uPHf~@8k#x{5C(rdItq456xIN8A7{nP5X&L%C!fI>dtta5<3g>wEziyAcI
z$8*8tMVzGDzm)JDJ%7@bN{<cQv`S`!L(uGn1MAcaqA;Jv)Bg=-xCSv=oJRarTvFxg
z%8E_h#ZEmTr`XO8mK8NUeUmqUwz-*M|8KA%GfBl)Z>quVkb%8YZ7Em$YMq#S8b?IE
zWE{1Mi&`rmE1o_OikS4^A_UaY(mS?C&l<4{#+01(<C8aPj8fhH2Ek>!v@+cx!j1#5
zp!1Ai@!5wR(r6l3DI9I4W_x2iJ(c>!ajb}6Pg;9RW3q9%ITfkism9cDul709Z(Tt|
z>azEla&O|dk054V{l`*IB_>htX)aIYYR@fvYMLr<6RWf}#J7FD)U)K~Et{=4xx6C`
z26j{f90EUWqQXob%!`=V*x5y!n}5&a?Ud(O0rg<tgSzBu7B%6zjz6{K=HuZRY1k~T
z-@yb6r|Oux%k`X*YDtsa0Eg%ck#kJB8H~CM#<yGtxi?-PgS}jTa#CzIEP1F)?2+Q=
zI|Zr*{R|+E^!d^Myzi5xuDy!>wJiN&NBOakF&bj%>3l7p*m#Eo=I&-2wb!~x1=%et
zcUtEo;k;i3yq|@N`YX$7Rqyh-;<8A@$DdJP2L4FMIzGv6WSp*WwWM~G*ZI?H$M!8Q
z*X!QwE6P8cb4h26^mC4i-yfAH1GUh|c2naZnz~_@N{x;1CLHZ~$#3bMBy^rx-SA#+
z{41D|XyJlF0_Z=Lnu<!`jYVID8!(N>-C)o1;iV*e+>bMP5+$^M8VP<|4d-_V7>@z%
z78|kRn+DfFAzRT6d$0P2mo#c*l)Do;Yg3)ZVB{H=<TW=tKW<Y^2y&+e-4dVCS)V)a
z`KTjv!J01X3x<o~7!{}O0Uf`y5W0Dp&TopZy8UnPaf~Bd8QDNf-cUD-A#QsCC;eU4
z1k@)L5E++@DSdn5^kMLmf#UmElXa($F)sIB^gvb8o=@49*JB$KE4iF18}eD6e&@cD
zCwtnd3EZ1m<cdzMuSopEn1A7!HO?de3qWm`kes=yXD1Ob@7wZC4Q7)DJ_lj8`vLNE
zaHNR$St+v72l-_F@YEaTxV=zrG>7cE^4`wI_xL@`$1c2rfhtXty(nl{(nw$zHvO=B
zKQRf_jvuXcvYL~cc0usc)Y0aur69hs57Fe1ctKEgy1puIFv$RKa?lT!_grLI@uW@E
z+R@w*dzHDbbh$1s&wdfiWH#>wcY^n0?1~_e<#N`=cGmNpiHFmPK|e0}vpBXeXwo%{
zo!2;KgOtxy$jmkDU`C_VRt;Yk#in}Yek+kCq8-yW@P0n=+}cLCUnt!}%cJix+PDUm
zQIp#>Hkb7&@*q5z#-=YY#b++yiUPSkqXT1SvXnjCF#<Ri$D4mtWJ!c;@>k36eVR@2
zPbRVmxMOPP{m+L_=FjmLV3m!M#2UP6{I>WM^HCSywBqyYdrDv5r41yd(5lPLFQFP%
zoCokNX~@uA^zi4rp~8Z>fZjKMq~CE6SN#}YJbEA|959+s^efuG3@+@b(EbBqbf${6
z(~;%o2`>{CA!As%X1GM(0<Wj=C2)i2{{R|GB8RQH)*03D>~34Jd0^|uRUh?yY-nM!
zWy-vDJJ(*WPzyX=^A)}a6u$8Av5dgrA5mIS{{*9GPa4~PeNnHNIELMFT${TwMu*!Y
zr@4c8!=wNjuyu-Rt`c6ro0j)qz2%YMajJI>KSlUG)jsXiaAyJ7LoCpn|3N$ir(rV<
z$!pEV^gew(`B4S}FcXDszcW=_4AyQhsR~fyjm-@&e@*UwZeYslWW6g~WgQvxR6Nw}
z{6!@$4ad(YZ<>DL<%7i?6MVwESguEc_fe6qC>>kTdO|6wB`7E^QWF0MLzul>*hpun
z&_^Y!gIWtew@9E-kX9uYky5CFp102d<_paiwD;T53y`f_${^?Ab3wG!_j(xCMjPik
zTA?~|q734Nsyz6u_5^HoXDA9T$19GX0jT3CNY>u{R}U+n0+A)>k*ZJstPR?3%hNq&
zLDOUUM9becu9=i6sju@Sv+Mlvv{*^+=Rg<>e1k@^a)lqH>5YUVzVQb2_hv_JGcNck
zN3Q6%z}f2%uPRPkCi+lxgq|NJA4M}Ufl&wb4#Z0T*51mKVFyFZ8grBDeMl02jqi}C
zMfFBPclZ4<C<Xe+#uM%^EtxnyHiH+FQMs2wSr1$2hs(z9xW3V7^Q2knHtC?Sqdh?9
z-t#4mc(vCrv~TT=dU^dR$csT*YK$0sPV9f5b1-pt9RDg*`oe|mEZQjDl;WOjq=!hq
z61iICr}$%%mU1!@b+}<{{BdwxFg{c{!i`_QG^SW|yw$LMmdk}!*5i%4hL`E!>=lj8
zC<^P4!DRj=z5cuHq|i>GbT_rEf3SM``n1bMHt3R`v(es{MQw3JcqiuCe(#*Z^0?@E
zQKF8&$Gt33hF&yUiQtr$qX(|-zu2jJm4@j#9SXUzk2{hYUFI}uuz>3m@<-szno5|)
z1U*f#Lo7B>o>0)&ZB{FcCjPDPNk?V=4W3k=ui}Qh?QbYg^LtUX6nf&>(m0>2yLbW0
zr`@o+Y<i)e4D~??#1hdzTSdA{Uz6`{%gg%J`}yDfG41Ms6-~f}Se-KO(Pncp)_XUw
zfVgfc6iv~s16On}11_QxD;Uo@JcAqUMuYTd)I{ZO)o-Vm9mWFcjY_hMwA?@On`-Z8
zPD{Jx;PX$2s6J=lVmpJDr&e4-qI`%JFMI*crrJX7^`sQ7BBo=R4oAbHXIQVz-QC~-
zM@&5AEuCL?@oU8D>QKql(BYc@8lreQ`BkKcoe0H3a6JaazJRQO9{(jN*D1@z&bfdl
z36yCw39us`{#V}=B<-ip3(A|U7T7nNwZdSO9o3>Jg^8`vKxq!3_q)IO+~*VZ>#r^a
zn7z*pooa*_&@&YB*nPaA_xcUoNjMLbRaD7*B|k<@uFfphcTM}WR9_>B$3N*4YwQB>
z>g#`)QtYtXK?Fb1rk2DH%JZWhS<wk{u<cDTD3MZKH3;Ud$P80@oUnI7*eZo>`!;u@
zd=Aai88?c)!{ee9cKsP6f(fyz`9wICwNoU=q*ZF>EWW-m>EzOe{%oyh(w&Tn$x;IF
zDZ~FemWJ-aMp3o8fw&}&{9e8&F{?_?uPZ9L1HqZ6YnyM0+rk9f{*=uIFk-kA&IM2k
zdLI$pvGH%hKivYHp5GPR>P4!~f&87T`+Xv0#D==MU1-A8lJ=xXuO%hRqc`BPKLXSk
zGnv2jcL0Ga+BB3=6X=|&R`0zo-+NGSteQ8D5yuMMIuuA_ZHDTPTAa^ih@klr4Jpo1
zDZwF+J#o<Td3(@zh;yP1LA4!YcWHfUd(y%7<r9}sU1xLbYUrQ+ifj0hqk(*rX}`48
zk`(~m55E5glnEvUNvd6!Yn_@GjBuv=e7i#h4Z?ITWa^QGm;Wl;L&N4TeQI9{p->vo
z|6SvlH=>A4T~ntRnv0TtH|LjKylaAVcDd&p!YY6%y;=a9EFgax+KG81zs!FLGg3=Z
zYPJ{BA*lCp7LhH_apIKEDg{^|6v>%1=JK5xpV5P$v_6e7*^M+2B9WWAnV$?y^PcwH
zud<WotglK)4-yVsP|g>Wo?}`;)*jl{+OCfG9ef6$Jq^%$`u~`?OghoFC&BKX5%tYs
zg^GuBXwWYzhKxpx>T9fE%rkLCxkZmC?{7wE{-cT?xkm4@N&!8F4Hpg&)_mSXOGz%h
z;5&G>B<ux!f@PAqj-l#Xhx#Z#Y?teKUJuZPX$DArv4}VSz9O8gm~?6s4j~v`8n2SB
zDvKz$nj9|F3^)^9>v>)YJF)x7<z%%Q_^>UBZkqCG$4JsFUZLF{dbISfr(Z({xy+^l
z81^U37x%pbbnL5kF+9yaxU<uTg?8Qqf5s|*-%IQ;%~=}n>B@n)$;*;lhVQ_9vg1{r
zqTCluap#|zDioCx5q<R^r+y+H(%T0QcGq}I!AOy3XqBGvQTd%}Ue>o3yh70kN=&)I
z#u>?lv;(5u2O~{8ZUnXcq*svnsVjEzye|NVo4p}n{{x0}<~6PmHc^6Z5B#ecJNh*;
zuExE+3xG0y&ZU}aE!SJ<_clc(&m?xbJ1s`45a{hYIC^AixzfwU#hmCKIpb}9*aOgF
zb@Zav4+el#B&G(-(WF@#jJj)be9V33mxvzx(?h1NZHouCx)4>n$`#D8lA?Ld#zZLq
zw7)=(VFX0HOFXSA&z2|0?+hvF)FuB}_z=R$kf<>|T_^LlH{0Sf8<vH*b^-JX^^!jI
ziq!GhelEPYvR*jWY2`7$=wsUa>nbf*KF0cve2ser*&8KPj4Ls#Pq=S8vQy3cIQnG3
zO*IiJPv4Of_2-JF^!4#XQ;fn6;UqhH#DK-`qNF4G39Fv15Ldg^M$6-ul*EF}HwK6N
zFE(#1U0h!nf-fqIT2m07P=wcaz>r_?wa4_d4kna^S2@M5I;rOerGJ9aKJH35zgK-3
zFmYX)g#-6)#?du<6;jTZn{+RO5}{trMYr!RTF&g15u5?c5<0YXC6kq|ww^wD!F@sJ
z`y$i+4D2^=H)`y6+O12sEX3J8j1g_KsEj;1p^2jo?6I#7GHEJ<=j877fs}*Ds)5JJ
zNc>$9fmZ+^5b`-a*uFhEoZuf;SkEIMVMaeyaeC=__vvY%nyc9S#BmU>4;IsA$jU69
zAJFEC7yoE;C$2R}pX<P2CShO7l*y{DuCBD2%Y$yo`dRPndLKiuZ#>$z=67(~ETBSp
z@{EJ3pZM*|Brx{0|4?n`W?3yLn?*X;d*SVkgZ!coaGflc{*s-t$7w<S)zLF|{eEZF
z-|pvIuMswJvYsYF*W@<to|>Nf^4~u377kkSV4){Hk9Xp?dedAhnSB$0nLgSZyTfNs
z#ivuXbR9D`oFEZ&KRWAS+o2<(u4>Wso$pKN3%h6m)S9uRr_tp#uLnKT=0`v+lmS*J
z`QHemTmmfTMKQo*lC1C2&|Gv&hg>&ITG==t#T!6<j~;!_J!kwT2{dp)-LpfDj3_&T
zIYol-wYB$nuJRR=g&00HKqg2?iB=acm^xhUT;GT%fNmu;?4dah6Br_8EgG-CC<@$j
z<*&#6?w90&W@_Hw0rSTBVgP|e#m1wY6OhTzQCQIa{XW_sW=h{n+vj3-r0Z012G$p(
zb)yb<D#2Lu&Wx*m^`wjb8KheN2B{z>Aa#b`&<$5ctZ)A<gx&H@PfyQ9tA<=4Iy!d5
z_FXdvPf3T$e^<}^B^Lf(?wu7^Xu2M?=`2-;t?oY7n*&J97<0)|hNGh+iog|jZ-cub
z?RYymr380!E3Iy_Ia~9>+ww@K7v7O<T{BXsy<w?=d5-l9OQcGGTc$+f?A>D(uk3LQ
znkN+_l>l+DdlPFk{Mpwaj@1T@+mS_R0l9e1PjS^;6JovJl4`5kdC$QD&<8<m$F%z8
zA1XvFIUxV_E_Wl#+r2*m4*DTH6;i3WeQf5i&8}4?f>whCD5^-=$VpI8rQLf4$c`t&
zI*vfk)_1N`cD!ZZk?DzkzR(zlUH-v0jdO8RbxR-Jh^}aA5fW`|v2c2S^g`mHKkya>
zl}6-7(n}L021AMqJ7wxw^A)(t1+LJ0X{+iJ3Z}P7L-wi43jO;l(^)bQr(C(`_vbb|
zOT<ezrT6`GP+`~|yMku@FOBI28|vk5*uei3BtSR?Lo0c#=W{@|cmheBw3Opoc>o@N
zV`tN%(*2Z7vRU!^dP+&h_Hd<_+@%@sv=dApwiW;Ep|LAbh@!mTFtFDx(tnYdbVtnX
zmbm+XfcroLZ`@FzO=paW$u}aUQT6KlLK>(-6UPCWfU=^aWPi6|GgHX=D*=ZmDxWah
z4&7J|1YJ;qKKkR)6}x>t3$f9Cdo0wvVcPAW@q`rkygt$YYQQ%=9yoW<6DI?@Be^R|
zz;2XCa2Y2Z7Ujr{v<Lf_P5IQCJX^s)>V)lFt|w3SR2RayI<!>X2`PPv0M~z$pae;T
zg`@G)f;V#xZh;Rq9!TQXtO$NNQ)d~#j*0u?F3*>FZeM8w3<9p4ta~pKMZy_o2t%3!
zs&n?$v#v$m=pTpQr(eV&+;Qi}rIey4zu_bU^*szsE(9ZJZaCq8!Ic@BC;f*e$X)J=
z`#X4PY!`my+sA-g%^#5g0Tku`Z}&#lBQeBXa4ng4t{G;$jK_<0nCZkx`@MD?)6~hN
z=M@o6r$0GWLB%U{{~d3!9vuic?d>vt-Dj{4DX4B7E#p_n8(H55Lm|O1QTun2FgffT
zg6#Q-KkD}xWMl(GbM$8Awsm2;d9*YP-CWXW=_yQK0M~l3<t)R)m7NfbJ*O7C9g7#W
zGW*$lZWK62+W%y2V2Uw29{Iw^yVibZZlj4KJR^Y|3x8bC=PKZ)6mtu!cdHhD#T+#W
z%;W?ZTNY8LhoF)_*YE}_zClyX?$e5T1Og%6@ChjvC(=KE+X^trxzo<xG@VqIa0v>Y
zsn4(Uh~%ApB{Ce2WY9M~!F9JV9k-&}(@)UM9_wG|kSU_Kmn&W>P%XQDdpa1Pt{aS>
zlwI0_PQ)mLXO?q^=_kGh){c5?t{vm89wn0`x1QP4ufokO81*)QJ<1fF^uL{mvSPgP
z%ABHY_xFfA*9OT|JCw4XD$_*c{AkjqTJ0!J3byKe{ths9g#UnwD$VTG)j!P`pj<X+
zxSt3%ahcI5Y<km42;?n#6pWr*bJu&?*z8cKuD0!@?p#-96VQU@zO?@Sep~e*q<T`W
zO|8g>Rsw#X^pIZ<0|(3~Xd_lq8=|3jpasD$nS5%LI?#8O4p2*&3up^iv|OzaPL}eV
zGrfm$8(6l%E-RVBC<M)<<>|&mTLCJBqSn=XP88%G!0dGYg;*W9*jf*1bq}&+H*RUU
zv(<&EhGbSSd%=inzb8)qamX`4J#X)Euagau#Hlblpa&&YhWEgeK^pRAZG2pT@iFV@
z=%BxugnJD4!_b=X8tJidK_+1I^z^)87i*rhy1uuE2N!PyWmfsoC+~lr?95&;=L%dt
z)wlK!E~plpbnwVE`>mmxckH$ce_p^(Uj}9KJm`#TpTug!h<(kECLmox%w0GbQEmE7
z6hrh1!FgAAtNpvF>6AS};-Nd&e9M)QNNK_CuWiReOq3uakR56$0O8;(i}FW+6w$D@
zp0KyruYNx6B3g{po`-b`R@bz-S8CE}+i1g9X(%I8G;L;{{$DW?FqXSwkCPK@Q^><u
z+__c*{c@RRr%kKXmU>l#JwDOU`Z@P=^aNddy|wL>QYhQKR!<LjX^;E41CAW7`$whG
z{bPb>Pu^GW)jHQ=FNNj#V^G}Yiw=tFuVmW3%a4qrOr?<CHz7P>V=*QYWCOU4BrsTG
zbpLmB#N&_ReBA#59r-yAIwfnfhS#-CO*w7&QXFN!)|Gl!&Dt<n@TCyLd%PX3tgH~3
zwf&VO4Tpy?mFDpcQ5zaQ(S{ngXiD9ECe<QMdx^afxmn6ebG@AmG@6=QX#%&nKbzOu
z*`m4@Kg#^ZtRN+~>|NlZpgL?f1XCA<E}UoUfB9$=KL#r10)oIo@qY=LfBP(UuCZKv
zI7%(Mp6_r%Lb<&6tY!kiY9W^JKQ){4H>Fa+pV*tAc28%=0KdGvTvWAuyszQ1JrEal
zbxUKS9iDR`r|GM{L|#!&Oqit)?~2;&Z2GE6w>cjwPus3FJfV%3&)cBc23?>p6Cv#B
z=WSqt<6#q!E_%_Q$&1u%mh}Bf(~znIlEu4`>_h9D87_dfj}BG_Eq9Msw1=Gk-<m0k
z)Nk5AG(bl!gG$h};6bMP#QVs(t{*(7w<w0t=XY4=W0v*hv>T3)WTMgeyin!g?+pRf
zW(F4MX(H%KFK4xegIrdG$Wq(dPYG2|eUNfRc`?t8twAr%O~_m*`LDE87r+v}OA<R8
zyJKKMR!E~61nd@6hd#~BQ!{|h-9P&vvSCZ<U7-vP2@&@Ki_P>L{@BaQYV+e066!UN
zT-^NnJcO6q<ILzXvycYuLd^g8-DZ-m!?SoNUm4i6#J89rf<z^<Tzndl-G!CJMdMMK
zA_Tq*TlihJa6(t&`9HD5$WsZQZ%9lKsi5L)XT9Gaqq3OF$$IN=prp?8EOu&;bO0VF
zOaGx3Yuqmmmw7=Ek%nbZcRg(f(^y-<a7$GeAHu!s7n%D7vZ*O1la_vFwZb5fSAo~Z
zyQP$YBdmah+fJM}j2Uu(#+27L|LTFct){w&eQ>`1u=-|UDt+~q759$3OY5UHEqL3G
zHlgxu4YNE__CT3zK3OikOm2qnWA`a={jr%8$oz<g$_*UlphFe48V#qY$$F%KV7`#;
zW!i3D{tnE;6ulP07<R9;4*e-hLHSONMXPo`##R&|dU$l*e%&?frI#vlPzTXncR8cu
zq_giI@rU)-4ol2VlGMP@nm=*3q}wsuA&gIm9a4IVI8~0luGe7TX6+=wc3?ZN#CFFE
z^pr%M@;9b)3*=ITyf(fNlA}r8%FD7?kY`z<b2U7QPxf(ON+#`|P1diK{orqa!AVR!
z7`Bnz|3h*+(pO!2n1!QDxhd?u7yvipLGV9S3cxmR$nMQR)vBs0J_fi8+EM%BK1w3i
zMi#a@YcYMI1$iL7q;+;!4;IB;|DkMl)gZd1rV;OC>3rGon0T@{zq(kr@w^d08AdI5
zI}+OCqL}dE$!bi76Vfm#O#loj9qO2krVb*}jk@$6XK6*6hsbc>i$_QM_W0KGTYmF}
zVO?_eLOy!$$)`qmqQaC5-n^Yqr|9#fFv>>LBfdp|uICFOdY+TccyXLHJjq;pkz_a|
z>w$A=ro6@fJB;0hLy>@JkXC(1^=`LL1}O=RD+p}l)K6#_PnEmu2SUGFNlHqh`MRF)
z+TI|#7z?$Ig-FDt+RyT8wvha?;$#6wI5{4JqER22u$8$|_w(B!1kbDpsi|Cbskn!8
zEiHbv9*y80UlC2!!$^$$XGUdeOlXIdbdu$&e=Ql%6m8S{_SD4WQ}EzGTnFym3PQVw
zgRXx-)Q<ed`uOy^g7w_`gDZ-%nL0IJ(uU~WZKz8@;4;VH?Fjq^px4Z-(i7zmT(=`s
zDd-$gx%C8#gJ!vu++fkN{#z77L<>TH(sHoes`&>G!xtlZLPK=*s@$l<k6BCxZ|JLd
z<F;bju*tgXPL{-8OMU!a<sup+*<UPa_!J$V_Q!`T1F3Hcp@Mh1z0n7V(5;^fO$LWa
zT5n|M`s(Le>=FN{yrLx>D|<;t{H~~M=Alq}nO{O^=$cecc&L(RAl5YN>A-uTcPw%(
zD*T0yg~a`NY`hV3(jP-{1nR4GM9x^CmiSXbX<TpFLn3m>xzW1iGBbxiwP9OleWGhQ
zI?6J)5&iJyDdLr(#;Ogi(1+khIrl%k2_z1K#M8kYOc$_;@f8h{lFSD`{PN%3CK;U$
z7>g&Y@be3mbA`Hu$+=oBJOnmVs3oi6zKi1AN5#lfbBLPHiG$~2sul$!lnLVdD#da%
zv693lDONG^4n(S5t$Qnkp-@V;KC%s)E-6_+B_$al-NUumA3DsFsncilRIo{cbhw*K
z&_MEmuMDa06CRnojpw&oj4bxtygYdbq6{RZn9<_vrI^L|_DBGLovJ_Ny)v~PWI1K`
zx<KhkWC?thkPdP$7i#!kDkDahYB+4{ggH$v?LRI6^GbDKC1D18=@#FF0nNG;Rh|@g
zYcC>lk|lm0z55lq%(H+il3S?TGPnb`?iu+dr)3l+Rb!G4cHQX1E8oBRAUjx@<`YTW
zNY5&b7*~-Nej3e@^LZrvglO!;3*5d#bmwpBKcBoem>t1`6iVw0>FYnYgH1$nR*9A{
z4@ZRNmm%-%jlJ(Qm$c}JZCfn((dLd@^%-3%y{RZKi2~RVDWPS?J%+J+r@lLL=d;v4
z&zLf>+8h$rjN7qvnV2%NWsV=l$5yTuT0EYDU$kG}?aA^ttOyIWFk23$7+z}7bz0%|
z)ws<?JW)ynM?X@g!lORTeO8FUlvweN<UTC?I8eQBopo*G!)v=e0A&jhaVZ@8>T6yt
zApIBSo-Mm?&7IFj?7s^OrA7x=^)vO~s~Z13#`-crBscRt#_s7GYVOB#_%Ed*tgKNC
zID4<iH?=2BYbVkld>!~m-JS5^X;zpy9y-Rn9_Fp?k*br>#CGihaxOpW3I<=yQ*lc1
zi6S^FODp<TNM``r<?iO<v^Q4NzKj$z>CJl;{rg^dlgGWhF&h>>2`Y+W(|Y@bQuih`
z_LH_G7zp;q+C6x-S&lHXy-fj0jtY!@&4DozOocH@;W{T&xs6yIp7{2B3N7Xf+=|dS
z+Vf8*$`T2T4K+=-4ioy{!%)kAOY@E0T#;ib)EaK>-4SK7ZQ)JxaM}+fdA5W?jL*BH
zGTNnO$7=`qUag6@JT-geIQ`>?lZb~lb+=rYjOMWU%l52$evuFZ*Xz3$DLRg`e9%1Q
z2&@)m{Vx}QRRKQem*I^~f43M0wZ%UxxekykQ1=&Rn2G+<oX9vB)-nDD&sM9wuBNMu
zgEf9<GVI6Ty;FRM?!>!SkBGH%JH9giepI4=9|OXbK^^{vNsx4~J&V29ntnkT#~)`z
zi=YgT0~@m85%q|KeL$bTbu8Kv`6@It9t+5i=O2@W-%0X~SNoF3S_+=B_??<VB=c>b
z&Zy!M0^pz`D;{D<-egIa>dcE{-qJUeQ}Lp@PpvJd#UA7eKj9^RQPUM-;xTY9@ZOs8
zpcfNjKJ}X)ZU<rEi-m2<xRUj@vM^0AGNz1&e#;!h%Pi;m6gPnrQ-+&h>3I-Qg@i<G
zpn6gnLj-a6tMuA!jps2P>0XSk=4c-!em|>xEZ&Ia*Yf)+*PQit1eUP>56^68hQQGG
zVZaee2~Gq6;|Bh)k`-cXl}`2bc*3sVYYLy_tqLb6uYZ!fpbbp%RhWR6OF(k`-e3eg
z%AGc`_(OKwaQpPS1fA2BA4Z>Ay#A7rNs~l<hh*^GKlX_!<JW2V9X@F2<H-nU0(6sl
zIIrzhDolVptP969$BJu(hgX%E=Lz*Gg}?sm0R3nP>h9@W$o@zww#6A25bGTv)-M5n
zZ+=8)!w#Mg-cOp>+3)aGecM=w2NeyCY4g!|ScG7XEk8A<2;XO&J?TJ}47Ptz7j?s8
z`s|CPAbJlj`urQ0m&0b1W{{lJj|ae#XVCtAI8CYi^Zc>WO7FL3HSd$>#keu{Zd*wG
z$U2pWI7<wzn=ErYj^BRVj?u%tvFQ}*8f`EIYaPBn48;ix4L1NHd->NNe1F}uDTcCz
zoXcjv8$D6dq-{7V{NuDgi%l|05E=TtN>g*UZRtqtEwgIdp;ei+ZBs=4uHZ&Clfsqg
z$(uQBt2AUe@N(?`>zw1>Crsa+G`o1hd1Dqd;9o4fyqwf3W-D{J6?s}P<lk~Uk;yn$
zQ1M&P);>J*`*b_CU9{%Rhe0!|^!uQQz}HWeUe$TKX?}V8<ZJ5JM-2(7RC;LQ0{8Og
zRr#J05%&__+>n+VYlg0i`pNzKETJb!t_XXtx0jGI)#t32?)|GKT<S00i6slKW)7;-
z$Wwi`BMZK@AQ&|pvU#3GP)&Z%XGFtQeM4S~c6{%Y{+={7to<1m&ik&!pOAe2PxqO>
z>q~1<&6-tFzCBo&AY0Mw-KtxW;~savmB?m1x;6i2dUyuaPy9Ll&HY0er6TLNGML~Y
zvExc5J%3rLt0}VeQ`&YXYIW}A%JF2@kvsZ#G&}Zh<MG<^LPtc!S2LWe6I0{+$JNn&
zvBB}*pGoM&!#9W9kAf_OyWh%QTni>7(TZbsnbS~<kOcadaJ={mq>FoVISY<3UCn19
zrr5J$<nX3nZH!DAxJ8gXg-O}T-xO4A%2#%wp$@maadjOm&}54->}q}uDl9vrsT1l`
zKYMz}S*Bk|@$AkmT$%MW9y0Xr(eN~^5xu~~u=n0$e#<uZ4M8yZM>7QXm(B@r%tB>2
zzJ28h2cJfxv(UaejcF*TfSEr9bLr4mO#X*`!i1!xq&GaE#x{*lOtCm)C3?|b7bm|b
z&C-fo1S0Q!@ro<>BzId`IH5$hQ3wqGFRuh^4=m&!eTI<XM9nC3&F}VNDO`?);1+^D
z<fz4k>gFqJc2zxMqdQ<*w>GVqCzZVDv2tUZpq!;8+gPDSKv@|Vt<Z>TW=WxTEs2hf
z&MByFhbXhE?Ak?Dcwf1z#|OP+@cJ>APKzjqf(_<^R16G=VR_2Ng0y8DqdHo60;GZJ
znd6Gy%kEha0}C#G<X&-{87rJAY7Zx8EA>2c0LQ~ia{M(^?!2uT*k&Md(0Tuuz~nhd
zpG4lgefztMIjzuz#l+IWq7@W(_rSt<!}+F%)2JUA4hc86n>pSdqBbrZ`eJZw?8F=*
z=8GH=j?eC-TIAv9_ZclO^tjo@mFJGAAgipbEV8t*xpp-(Tczt4yV&v>5r#dq%9%q`
zc;2iDWF?=Hk}?h=^(M}wH+(bX1}|SC5YTQROt{u2ovc`QIa6<MuU-{&GZ%<x#B763
zzNxRTZ)as?1qt@o&w^dF>8L^%ku$LGLU(*-W@dV7>KulFP4ID480JYwM>ifJ!{+NU
zCLHhi+peavw)X6WQIDv+_|?&B_yeQb=|peLg%Y$vD32ppq%{jZYIl8W>vCK&gkZL@
zCS9etqT;X;eAgxurnE9NIJnO^T{VvGYSd_?5ejxvYSALx7J#f8n&!&B6ciP0Z-M8E
z{^0EFZ8_iMRSg~iGynUH3Gi=&VGq$3QjQ5S-l@kQb3x3X$Ws_!ogW)O^zcL4Jm4bQ
zF@UAnq@W@`2cG|4V#o({3kwT(bO=zjW+&A3RdX>oBlxuH{Hk=c=w|TBbIIWeZNK+y
zc=SEN8uqV>qkrX558AqeBTBNfmw)C@d7Mm|MPFX7ird!gIK-PYGWZ5zUD|NgEch2I
zvpN|mDGe{aho8QelcupzE7le)%D*{$1F{T3ujMdrEi2m{1etjun%nc!{%bXc0KP1;
z=G>iyjJl2FqYv0xp8z?P@$k67Q1{<g3&?YU{LO3s{`2F>zux4px6{m+fXn{R4}VDg
zHN$^>S1531f1UpgyAu2vBrzEmh5-Lay+KJ_<U%Anni(yY+_aVv!GYtyU<ZVr4@AI{
z^hQ@-V~qPaD(E|f)Y5RiyR4ShbmnnXHc|g!u`?~R@~!}`+uR|H|FC}kY6o3~uEYfz
z^nHU+`53*s9F`BhIBh}^G9APLH4%BYtBzX+wH!DUDVVb-BOwSOWd7WR2cZSOrmT}+
zr=!AIYF*D5JzdLlE@;A$e=Z)$73+>DQ^-G;=q`V>Nryle{gzKD5OsLrj$KaXgfXzS
z`9%mJ@jvJNF!Y-U|9`%ck|p~aR{eYYc$R-6^M8)d{+|>6KZ<Sgn7|k0ffhsa^UW<(
zhkTF{$U?zJYDZ#!hhZ6miV;R*V`HvR)S;<LBQ2Z(JyChI9?cUBUs}S3{P=nd_Q^I#
zN{L}YVr7;_0Ks$LqFuu;xVNpP<vCldOixdxw~E&|=)s`OC*DNowW41sy1ymR_bvZg
z&{q~M5F!F)%52*8vHbAisO79MMD8{3EaKw)ysr$p8Oc=sPNg4h0mD^Y<)!C*v-u6_
zbtSx{q{MchypRx0fYSHf=mTF5$mOiWuMKT-dY>V%zH6|&uo-iY2}0rfBmX*q%k(?-
znVPw0#e7j{gQ7}G1&SdQu{gbPSIgFRH?Jd+p4crQR2%mjK1BKW8`q=ae1<5*V)Q6m
zQ+hh1<8C7o#>Qkz9xF~6tCG(OQDi!>gz$&7{Vq{)fR&87L}VhiIf!c^zN(o74kTaa
zX;j+cyKaP~8Gp>obYKDTxwQZVT8ApipGUJ(5~25Lc(=&;sQTJQV=VlGkk_mG2)+Ei
zRkyiB6OG2o&_?S01kIaeDwFnKS9x7i>sQ7xD_iM-QB<Y`O$pB0<8)jd?NUp@VPRp*
zu`<SSq3z1Yu=hOfivt4+(yNcho%AfHPjpqhYFFKSD54Qs_hUPSh|gf5p7Tz#)BLt`
zTRkpdrj(bZ^il=n>sCQ=ybQh2p{qt*yL#BePa&Z%GC6-(U)+VPhIeX#-8X85x{dCF
zzR0|d`baLqnqm+8hxS8Zd1Dtfn{^D}^%xj)Ji`W+j%hGqs_r9~Em>@V)wK7J(=2~N
zI45=FoSDX0Ge+X;++i~h*tqdWw}Q}y*HTRkkuP>xatr$+Y+Dd|d{ytd%U_^1$Vh2J
ziXd}PrV_<b4?gRuqio#6l8jS_rfGW>Yw4BqKFEY-(5`b!89o7l^F-CvN3IodDdS8o
zQ^yA+VNkuM1`R2({QPmWiAwX~oaoW}Vvq??q!EtfY9@|tCX1D)7xS!XJ8XCau~iwh
zfuO$1Jb*drAf+Sd^wJkqrF5Z8vz;G?9B2`F$lAR0{@uv@*zToC@RMLP+7Gm=<zS!D
z3HZwgQ48zrM%xO1kr~Znc=>Z_eBNswg?tg!te)Br6!QB9HnjWPKh(42h0|F0AI{1K
zu9eE)cCOW2rdjVcXCmx%6l4`!%4Z?Y#<}vCr6mU-&R8@4UAMyyDW-^>Q-_|UHn`bh
z+XaMPT0<!=)+EM&u=H~Bkq}oaL&HB`K`GQDs0wYta^Lmx*s+LnT5H)Gl8d%>%U9+>
zc_B>Hl}41X!fiz`%5loNdX}#$hRUL7@Q?@shMjN_#p<EEdWq1ZH2tiP3N~<jDG`hN
z9+V`^sWle0(S+a*OG$a(xd#~ldXww83N}U-l|wD>fK^rk;A(zQ^E=%^-?M;tfaQr}
zOZ4{z5!g@q%Z1dk5%X4aXwST_mpiHkE(;7j<r#-JkJ40*haunceI7EUeOI#z2ne7H
zllnts=Q(GRfRcrzbu~3UqL215;#%y^silPfgv`-KBWzjAMIf}W#6)#ibEIZRg3k;^
zegKt`SQA*jMcBiiW6@Df*7v{OOcPnePrlU>AAno-fxbjWNN@gm7-;H3@+w{ikqJ5b
zW-KetE^?}@c8fAImh`Db3R!0F_g6M-*3DztnWQh%WcTT8Zu)ClPQ;sm;)(t7@o{Rv
z8%z@@MZ|29xHw7JCEL^LHc#Wljz}H6iNNn0?33$+6m=|zBDN=nJ5FGzVSkckP?zyR
zNlfkA?R?C3B`4X(grfa;6s1?mTDWck0s`;DI{6^cKNt5)D5qouXs>tB4KqJKD?-{6
zpH*xv>6}qIKuQ6;-3X!Y&Y6u7N0oPT2va6?=zQPsIE;>+JT13fRZ(3HR_oeN`0Vn`
z@3K46+V4!Q=oB5oF9(+EEnawgI(rk{(rasNo(}IW2J4h6(4MKJv6t_9anT6J)Gl!3
zF24J@Z*sV6sB-*g|1<%wJ)wTLviir5ueIv?<U%%hqtC(axMq=NPWDLMNBsw0D5aq5
zX0v|SF(kR78-;lgHT@z?TrJ(`r3#YI@H!#?uy;o|zpi?qszAZ4NZ?wr+ibC!WYU4x
z=j_FIN6uEK=e>VDFh#0~28vDijGT-L+uYSv08<|i5-5?r`Af$K7~OTq82U4!TjK0r
zOo2Ur1rbMs81>jUk~v6c4mzqFFXp>f?p_ck(8#kxD@ClNWEly~Oij-rg;;y*5?p;9
zccT$OjV_P%ije!X-eGRI5GIEirx5Gum+lPt8}hGzVt-NVQ+B^xUZPXDhdM9<eS!Jp
zY5Cq9K;a&s49AdHm_F5`EcL)%p+ktzNWynL#Cw`__yhzdniBVWSJFZ~Go(CUa_mW_
z4=fq}1Zo(cAFy}X^n=Ge2~0H;p^rwG09VzF$DXLh;k?37eH<mO2S8FOo97rSK6yfV
za!JR_5>8F59R$iS6oNgiV)qT1W)tzoOoXfF*qs{}{l4tBuVwi#LT6xgf&e`J+b|x?
zAc^$*qSmwsK?SCD$;sw%3fY0-VWWZ#Rml9^yLW3FXVfi>Uo9I1Xp*=kZZl%2u&Zl4
zWK9QaOMEA%H#osQ->{|rt?g}5a=0S|PDR?E!p`Kdyp=+N=sfwl?v}s}d}FN}Hd%l3
z{j#_epV4r6si;kpFAVcc2<JDRERDNY7S4tMZkuakfEs!}h7iR{R?mB1a7U2MbCva~
zVE;bzdS!m})Q#h8*|2QUSy%yedKjI04=3t~kFVp)`EyTUg|t)IkuwUTc{J93lwtR3
zM{{BO!L(mpoMl8Dg7@c5mZ_;csdq7r_Dsr|QkI#i855$iO;1Y;-DISDPSmq``G~1&
zYiS*9YjaNLv9`8mz_fb-iszKcdW5p<ges$SVDV>{)2vSMW?xNlJ;G_$2dn~JD;N*J
zjhCP|tsYO)8Q<k>zC5S^*6#YJ)9k#-;ePsio^$yGJ@2zRhd&vg+YGlBf#no~pfKPc
zKwKC9HifU~`3lo3u*0vf%=$tOa-n=o4!}gW@@Jmxj@CweO@$fDZ<=05HP1A3=R8jI
zsr^TIB^2}4<iCo~I$Rz^3kwO6L=w#p48+tP{9;q9FTU_54nz0N=O`F=5muuMTt#MQ
z4t6g&{OLcR1lS7i==c3q2H|*<%9S3DIxD*VFzHRt!S^4iUm{a8#Di5xJpLc{-ZLty
zwCe)AMb1eiClN)-NrFTPq9Q>gX9-0PisXz+jv^Tf4CD-wQ=t+R1QE$l<RGcY8EPKd
z_I<yZS?gQ#W9Hx7)ob-?x*MzReeOAD?{m)HIiLnO-|pr|Bm4c9G%6NWjh0G}w(9Bh
zmZ>QF-=!fCCNh%iUMBtcZ^FCUGHOfOe_l4%A3}`UP8~=_<~$yBs~X_t<#jyTdEdW$
z1fj|bhofR*SbDNd`9XZDYGGraid1A@0>K~Nw}aqhm!*#H2mZ@4p6!=)dH5@hzVp12
z%0M8Tlxs@iQT3>Uvy*7SihCT}_`pq_mt6>&R`;C>;9-bvsmd5x{!&YKA`V@&K*AK+
z^I)FW34$j}SMk7Kqj@${b6zNVFu*ac(vD9pdv|-5Tf3L({p&e?*&6esWLCy+U9EQQ
zx{>G_BCBEF*-KEF!<$1qe0<(vw+ln)W8mIq3prE8*Yddg)>j<0v@+}zUA%}m7cXM+
z=`%{C4{?tD%frZDQ?YBSh$UventyL6WFnBRrd@lvXh)mD=Nh=3;9FdMTCfrs$!ofF
z``{f@R&~dp^T_^e-jX3)QM3JL!Aj5CNA$_}1&6s$#QYPa(=P5l$<z-L*7djZs?aak
z#B)8qO;4NM)2@x^$^>6(iq9HYYiMl?bmo8~mHzqj=LG0E2xp-d6(iR1UU6++h^4dV
zEzR47RyXJ0&WS6tOtZ1;7OWJ3fA4Y8=K+nDJ3KT#B1~i$!9YUoGumM{eqK(Q+ZDVW
zGGq|2_VWWN^Cr}{=ZBfN$6>Di@S!;SGgx3ZsIYv2y?cAkY<CO4XVm;|4NRjlL*nkW
zPE&t}_HBMKbl~=OnZefJY-7pCwKR2Kkf|88_M+~FJ9~PL#CFc<NU?|klg0W%|Jww?
z{CpQTm)^n&q5jWNef!T*rH$8<Vrk8zoa5IC&>g($5e1-k9=LgBhbn_d!E82PQ^oX)
zdv$Hs62F+*c|ns^JJEs%)P^kxw~hAOGWO9IF#coyvrgm#4k}z$hQz*|re}!KXwY7i
zQ$)cm5l$w{G-+V;z!{RW*>4tHOff_NRmgKfWC6&hcGO;V+RZ$PQavUDDpD-`;{FaE
z9tW-1;yBZ5`}_N{{G2Thcwb3r4Q{S|3|j-i@#Zc?Aw9&}*K#H=vDF{$D7e1`UVA%A
zdRzfec9^t)6sruHvS%07Q-$7|E@H`;BwIz%zXp_wwDWxFjI0``bdLs;ms<Mxts@HN
z54&SaXfE<B18>dI7Z31W6bp1r;7xZ?(2`PTp+Gkj|L)zpPLRt7{Ial~#yp+N2h9sR
z1s7*i<l=17QtBgwrOO&aRwx51jvEVE!rOP6Lb@@UZY>jj%G$CCnLPSS++zC==0Jgn
zKDncInz=KIp=mTSjGA*5EWhY1(Ike=qi8Pk#h2Q;kI@MmZ@8ORjPOF|xJcJa;a_UO
zoBaR+tLjykqVK*hyv@U|%%UfB>((tn$@PW}Rx9qZvPQrxsgV9Mr3Kk@$->6whQ{D{
zrSp`AlW(FPk=OExzY}>vy!p7sU}IH6A1f2n+6}S0w*`4W$?z54K9Ngo{VHR8Ob3p$
zB*`=@Xwn7qCx@Zo;3Ym6^r(OKE%g;kfL8@f>Cb8F4&!RqP1r7aU0I~%3&J;L-%bm;
zS(f19dNhqGpG6OL)c|6t*;a72J6cs6bKtwe1_};RP;eyw92mItXz;4^*ud}S{q7&U
zJ4_4DouX1RGJ%!-+f%Dm=8Jr~(Q*l=t*<hnbMT0(xJoAtqm<moJ?z9&>1zy1YBysI
z`wK?kol@e7<>St$W05(aLep1ksO00R6k&;N<t7M@gfZz1nl_defiW5KqLrd3LF=NG
zDeD25D!&tVatOHTeuicXkDEQEWSRokhm77YJ&{nHr-U>HgKHlTe$(vw+>{5=`c1z8
zMFwI+=GLw1XE4E^g!w}!o+1p!q|?+8L2$MizYNHl>!V*IjfbV5Nm@AhcBH7&NZtj}
z(xP|e8?QCZ^V0>{phms(g+*gg<9aK__N~G4)4~U%iHxSs&dzluC61DTVOILIo(SuO
z4@EwJN!#Hk2p;CY>zic7>}8WExEQ)KO3{Z_QFx#HwY`U>wj*WY$_EC%^ZFHZp|_3u
zZEB*+%-zkDz2RL&I}5#4jwfB^N=I%j55ApV95r9m(Yfxcq%x87VkK#Q9)XUuSx@nc
z_w+(2^y#o0C-kvkB^6@1@us)3c&U&}aXuMDwR8DeF`&wNNv@3;bR2^sm2lX%_eL?`
zu({<7{C=!BuU)!&otVdcK3F9F-kOK87zBzcPaYaZ1DlKmn_VfRY^Ae)FAxG9$3vz1
zh~vI84vpsXRHHhTEK}_k`R<O_M9ReBAmj00dm@Ih%o;R&!HDJi8!l0b@B2M^ovhz3
zJgo0Db#j0-crfrCKF0Cj?yv{5MQ%scag{|Hz5rUNf|wCnIL6LSi+bA0e5v2&<C9tL
zkG>lR#AdgI$V0g8yK-^AczlR?TPSHf{C&#g+_5w59tZqg|8npO8|Um%^P^kdsYdrU
zo~Eni0Yb({{e6e2+S%m6nUB%%Ue&nt;z)t+Y0iqT*Gcd1b{(VpsiwB4IZ1tyt@S^)
z6Fai(1$&7TJM_4l^w`+nwdb-wD=Iu!s?qJVX;U11O8bKC@b25AK{j@2X!_(l-todh
z*rLnm%jNlo4R5FsVoQ8bl0QH}Mw%JApfTvGh*NmHQ-~)Tt19NrLPk!00`kCBb}C#K
z_lgC-DOopn1MPz$E;WN^b`7zHNp1oJLZ4S~?`V9iRY56DY4sLY&SKM;^uE!YKa`|0
z6b%X9TIkRz5;8A6T+#PWyn%@g?{k|(0}_h0pz!|n1llRLVdKZqVD+s6ePw48Q5e%{
zdZPuP(B~oyXPWL)Cnug#=e70S^Fwzk1zVf}-@{r+uUl~V?NR5B&wIOFp(DD|RnaBZ
z+KYQW$Den;adOV7tgMVtzuGRVoXPJo<z=f@-1+N>>*izb=zy37*S-Q}mb#=?%-~T&
z&XwMx#Mv@iZ~~VB(>D5bRU=!d#%l+Tk4zl>XsX{O`mW!mb+rMXs6^J95!3;hqo&?V
z*ADK$*4NkFP8Qt3nObc)AOpbl{m5}>NJvze5h2u(QpU&8@c`5?A|0ofpnSW43ODF5
zVQnhQs#EzYmd3c>>FG`%Mp}scQE-@%5sxtiPF1ueIlyQZ-VqC54q!lw|7$ck@@(PF
zpqy2wshYzD?uvB0W2Kll%Y8T*@_8oWTiJu|(u_kCG`&=~qQo9Ao8~z2ef&V?2Vl>h
z3eHvWtcI-3n^GGnpC1rU*PMz}N0j~YNH@g)n!9l1M|e?14}nU8n~15leyg$6M*vgj
z_~wxKtF${$cLNb=3I?1t2``NGXzRtDE2+|9z!-J+b?~!00nqxkx0w!bLVwDa=b%(Q
zA{C-lvA+AhA8~qgA)n1GRI6#s8rykr*+3bndvFcA1u#e7^>CP|tKbf3fg_T}>7(!R
z^L#u7zUNcKY#i*mTAPnn;NWJ4jj(Scz!mI4vOZE_L4g#48UYC$Kz*8hOUss}H!(nN
z!HX`k-Jf8Z6H0O(`}jNYXs61e*AIdKmg>n;=d3l@nEPjb<N!Y9&*L-W8b!(|`VsO}
z-(Sb*-jLBg6NEs*nlfT<LB7Rwa{iqKpqpFlE3=|c`h#)9N%hR=ALSep`PUX6GiYh}
zYa6&*wT{yT-h!sRP&ptZ2}^XdjvhcGAS${F8m}HYjGv>|<_jfaNFe|#S&fSi7muA>
zeIr2SozvfK2?1KmF<j9+v@ix7)%vZg!b$srosL(($g&oC-@W<|W)nrD<reF1mx7w6
zx%KDal7atzMs^|dt0d=_w>@r^maIf8h)_^IGWJAxR6CA?luH$T*N4Ah`JGRV^OVyV
z;MKMFu0y7vux90{X|mD>Jbp{zr>7ai(4l<%hl-XK8IRSWk^^ix@JJqXSDqVan_gw_
z8wYC?34@sDkrv_eGsnPa-Lc<hH*?12uzzOeNx<h2QeMEQGJKbc_e!1<Pp0uUK%3`t
zkau^<n$39SUr?iHvS721t*x@RZ{6C<0t!(FVvb|a0ce`S`Ei{cdo<!^zaZdtK&j8)
zSUO%(=*-B-*f;>_IZ&{3!m@$4Lw%AJDYgyXW{{_pzivDQh7##mc>KynWaSm0I5)<s
zyEEL!Y=`q#RM~~Fr(eB_i8n}o0?Ma#@m^6tG8Q^DgUt#b=FX$1La9t$i_DO3Gm+Jo
z;JNNICzw>GFnrBgBXisSPK6aKVkdZQd}+K!I#n1^{79QvF7Tm6+f!1)NUs>(!A1~^
z2a9w{8s_4aS^7bZ$6YyvUNgS!2Qoq9vt<1>wEKQtHP7l`l`VUGS7(IZb;J~-?$zY4
zAo>)o@WZ5(6|u%^IE@bKriKE0T&_`49(@M2W+TJ3bD`60${kkMUq`-ErZ?G%*m4T<
zNJvRj?S@W3Kq_5Ovh)+RHBh8l_|kgMZ6l(rWTj-8?%K`|QZr@uV=ahuG+0$pG1}h7
zrVEIRyf;-u5oP12Mi!v44j%$0jsFcDx)fM-kc`)~lCu$Jb7GQz0oHgY()4sTHkhrB
z2#E)+!XAcqxobDO?X3*fPI=Bn|33QiyJ6!dgy?OlcG)GPV@)O2Qe=-G@&*I(&sdyB
z%HM*Ph)T2|Bdm!U$qL!P%4w0YaRnTXMF$E*G-;u(3sY+iMHQ@MWMl^6il1;d;Sj%a
z?wxsmXo@I!Iv30{zqqC=$5{>DMW`H9xJ$TqHt$;QZ@I!i=FTp30(c@9NEXXH;;K18
zw_<WYX-1CZj=Oo48krL2dy|PQph<7Efo>`2g8!cKJ0OJ)8MXbc2t_Bfgq`YX%ZdmI
zZDaEYU<xTsMHrfS2!bgo1;zKr_~dGWG!^;6+s#|`dPV>Q2fTUgn+WOTuwBqYK=bJM
zjyh(ni1%{8VDn4}Gs4QgoGSGYI=mK`4jyUA1$@FyGJfOd4CIy0I#N6UP=e&NwH4v5
zOYht$z~eT2pY(Nsr54)2-8==Hlxe|nBb?=p71SeQaFLvA90RUps<nQk**mvuzrZA>
zj|OEO=5Kpk8`e?L7ZYNA2+Po1()+hJ0{*6Uo9W*vhl`*6UwcK`C85Q}u|0ZVX@&Cz
z=0%SuI0k<%H|?(qLqpJ^J>*=Z$)l*K(k=we?U4ol`<wG$voxu*4@5euCYpo!2d*Y>
ze6aug|6l*>9nfOcL_`1Hz_15#=jZ379VxXiPh7}U8!gh|D@qf2mj5&HV1FM0PEfk`
z-ZLnGz)Vvcjknnj7++TChk5s(*TEcK>X^UM2;f<ZhHbH;;;WSZ-hZtwusOm!?4}$g
zC`eiV#N6E6i-Su48oQu&Gbd<Ph>M7PoUS4Lf6zjyV6bN4w|^^0MfttG^uN8yS5eW?
zlO);diryCx-xcl$BCVQs^GwUhh7T1|x!c%7guySh&>tIV0b2eW`|IP<5D)-Fz+4hm
z8=gR77ymoX^j^-;f_SfOEs&|us~4o8)W-JtXTT1$@g9Bty}Bxij~s-+8#R)7v;(?3
zt?a@^pOr<OCPuUuSCq7!zp4ee)I1eSUh)#N;xrwen!;pga_>m--*7!qRMdWapB!}y
zLS<&2GeQZ8p$dwM*UBfr>|kN$AcVMawHeD34|o<k;BN9l#OuwpFu?aqLwvX{YWo4L
z_%5=6C(tPck_-w}DbAbd)A-g5ndo$QqwzQ2aXF?FK%jAo`KIQNi`&u0%)+8pU)qR^
zOnj@cd>hJ2LpS*N_^9KT(|~@$q3v4{04-G-N>469{DK`0c$?=!vhvkuq=9^v-_j#G
zS+2k1^6W)&N0+6GP`5xGh&TH~nJ#H$%n8>MostW-XxTQ&ZOxC{*c{Io5i#f@I9;O1
zW+^0KIC9QB@<UEh%N~qHhK1SLmp&EU$&B|i#+w#~WWc17MnAsL0wMMxLEyo=&B;Xj
zsxq5ij6cpa9&{DDPQ>$g!}`W`jKR~=y=RBAg`zMQRrh1gYd;<FU2?*VUI;OG0!ldb
zPTcS3tKz*uRQFl2HmRWDcju%{m`g}+DE4A1agRf9?ru8{S}BmWpn~bJB?7O7Mf{Mc
zf)oC+;3!+sptC)UojTYcQ<Q97R)N?0MNq&K7k9Mjbid<QJKQe`0{?VtALSmDSmq65
zk0fTIaHor#KH|v<2fD(12?Ep4Fs7itvY)Usg4%&iME8)_K`z390kBO&rZY-0lIiD`
z3~{m~W)ecpcBXh{VwKJ0w1@N&6|fKX<tFbcNyx}*IH|(j0Z^T6{~6xptbMs~Od2#Q
zz>NCIj(z|I&JIJRrsC^DA}H@*cX#Af$TJAicEiWJV9Uzna)(d+Az97AG85me_9=P>
zhFJ<SMb6-*U1J`YQ}D6`g(OeSwQ_|(tDC{duw?gXA24|9bl1F4WjqN@*?B+Q%4e*4
zmQdob$3XSE30!kKiEU@jMcai0{Bm%;v%po#b;XDgnsElIc1`d}uX;moC58g71cI+z
z=R<+S?b_{WBu_P|PxHG5osy-pH0CWh=Kbu`=rL-JrELJ;@1eRne^%zclyj5bZAyuh
zof@~6)mk3=z6)kA^Md1R82t@KD{82UPC=87pDH{9RLbeneLje=Qw_zt9vc%!)0cIP
zDw@7jDjPlfdTkwWo_W;X5-}FxT@&0_-WgD2j5g|H9kG1zY7w6)|HzM>l=*IXS@WYi
zw4Nz9Ok_4%Kp{!3$#2vC)_U0fHZvYX`RF-M08x@#1VcSuUSF9}3i;ozJZ}cpp-rz3
zeyT}n`$w!geC4uszPq^<9(*?;U6`jCOpuCKg8kVC!CO?}A0hy)n|eX;rY|*~6Z1E@
zh*eq`M0Q<!^%E2`^iaU<6B&YFO^-XK46&W9VCG+nP!25Nx{K39`q89@e#rz4W_2HL
z@5QFbv7IJENXl^8?fhsdYjjAbFgi8NPOd!H<3;g$tMV6LvW}Iwdtc;zIHzC2EV#{L
z{3L3!E$Z)m7}XpkxHz&^9;9Jbc{v4ESmtU$iNI(=RL1o0Kt^E?dI#n4=H7`HbkQrD
zS$4tSnZfq7p#M$#Nf|C45=?5M7<r8#_^PosAhDV{s=<RoO&S8|hDGUx59O~Y1NOJ%
zRODdNV+wlaJ<n(n!-#nDhqR=M?If1TFKKK%nSwE40dCgkB&+Xoau^_Lr-+)#Sfs>L
z)s|wj<rQza!ZD#%j+iLDp-h3r9DxohNs^Bru~Rp8v5?RmlTiz5VBwg4?}oY7+4YCa
zGGm5f)QCXAlDi-5$T=720B?D5CF-Xh_!r-6(C(7Tw;hu2K#hkxlzry1!xD(;c`;sE
zyxkB^qp0}oV8<o=x$3CkvnNrheAbMBTciQ$gJhcjUyjZYglY6e*L`iWu~t_*RB0X*
zf>=;)ZZ47ZNcjg)qM89FSCrE0YM>ZYSFLpn^!wg;YfP}dk9u+=%qFO}g@?=b#GQcT
z3zUSL4<CCzej6Ic^JS$-WqxZS^qwX)1N@irSa($LIWnJ%2u{8lit%HASFUi=a^p~6
zyCiP(-wG#RC?Hd~85^0P^wT&~_>9=ndoNKX{`Zv(Okni`2{U{)JGPiPrmj>c{-oZW
zCM${G-y8!60rW3rBjCex(bEoCZzzq4j+QPiEEDR;C@BocQayQCfnWSxNs$ExX<PMq
zz6%)|4XQr7Ij3*PHY)m<6zaqF<sbNAFDZUJ@yIgonq>S`f-cleApaz+Fj`AUGAha@
z*G;d;9koE1@lWE<_f>^@u{LWVyef<j9n$Jrl9yxe?)t5W$mN$Voy;Cljir*XY*p<(
z#rUl}-fr(wxcAW6GjKLcyJ~>ctOsaqzx4uS32h{S;`}PHz6XnY<yAW^`;!1}<fs7F
zE2u**3O6k1n1uo-wPO<bxq`H*3MX)JZ~pSD{Cs9Aj!SqZT<kMl)KY!0U)bek1~XMI
zz&#yYTpJFSEH0ua+i|~@B%>d`7_frQFC*_lefZ_AUEVlIB?&ZZ!K0>E^8q2Jx}&w3
zmw2%*#~TLyls47gTYxBV+QjTAUxw{Mf#?%rlh#5+!r93V*DEE(!Dovdt5%KyY{=16
zQ3I$j^$K0n^F`M9>qx5n3g{mEe2uu1l+xdKwd|{usVdeK7Np8)kex!5z2nuj()15W
z3~pS$2<K8FhAmh0B2VM}&^Bjw6yHBC8WC@<o_*uVeBg5P-CZ{JtX?&fP^{?d7b7Hb
z%wh(LEt(t0@BgwZlGbPcuq!4lollJqP=Ms~pdRl4{Vd9OZWxkoXYiQ?$2)`3ItKd_
zY|0Zqfh1%Nj1z}YneDB>mzuZc*##T|(u9X;H*Z8G(i_8|>{LXvGPPIld-%`%6uB43
zuAW~)IH)K26UHU#pD*$VxZcgW&n!be_5AoqBFhkCJ-lf&B!xX)qBJx&->g2wKEfX1
z7cxrAI;Kc!3)DzkVJ?h;!r%j|pPyc+R+6Q%-Y5mIwsUf20?hk-bDK0(e&5f`DCQ)!
zflsG>8Oj7W`jh<l6xdt!fxT3mk1!XE2;*f3t9QR|isLMTEl|Apn^)bz91rG34GX)0
zqWv*K(0)BnNpbom+jri$-pg^1b+C=Ofsw0F*}her1|3C$?T5@Xh^<p}8}CjHr*o-A
z=j`P^Z0MC$p5RlPoMY4nx!NZO%cXXH95HQwCepNwH0CiZf!44IA~WjLE3`VWL#e>e
z(6;lE8h~87f*tkLCnP(W>RMs|Q3J_@{K6Q(d7>iu8kP~DRgn(n7X7uG36aA9AmJ19
z+UpNhLx{3M7pA3KP>Y78@c+Ups8rx{_8Lr$jWzIsMx8Jdne1&TsWoSSEw5398@(?y
z#VPLwAoHRPMf@F~y)amKlF}mBUt2CZXoT#?5aCPWjMve)wsyGes&QKiKYo#jY+eZ^
zhq{xj8GNlnT?wR+BNEa+uK8F6IN6)mQf-FjpVRqob|Xi!iWikF$p3xF-yT9E89V3P
z;w_yU95IgfjI~#@!_;stN<ViG4`+?RBCS0?Nso;T8+&`nz#fHuZ!n|a*3MG8=!GhQ
zSa3J9!+f~|{6X_a$D*fOYtOyA(#g$O42;Y8kJrfJPb(McmdOayL`oZQwJ5SbwWYvG
z4)4M)JRSu9fOIqF2VWaRES%}P?D4Knjq5e-EJ?4z;MK<7H;4A|&4c|f6ANJJ(fmN+
zzPu{#tw0>-SS{U9tcR>Dy(;Z>OAz<N>r|7bF1}pImz?0V>53P2|L>dmtoix;X(>XR
z&G>_!=njjDDczl`H1tg7CJnH)F14%(E}5g~urMMp0t|Rf@gXcvDao@NflIv>si16r
zhQd$=W-a6#(Ff96=gC6TbHwCN)rgNs_Kf%`zdO<f?m?)So=Gf4k>u(#1Obm6)D0FY
z_WbUtF#Z^OWchYfXDkE$Se8_JlV>_FNaNB6`}Y3O@^ClHjLEBt)W6>>f4Kwn<8ZcL
z$^|g#ZQogoK$q@!TK?y8sLnUb=E<e$_3q{}bbu+s=g$lSMiVM))RoM_7kB&iex|;q
zX6L;|)4TpX-AW?P1t;(;NxguCzr!<o_b@zMiu~S(cR0zg5LqF3SBV_R5OnpWG|`RF
z-=RahD*<76(4lwlZY1m@zgcrS^r5mWna9ivyziHWM;S4ctH;=nR!QiH1w?<jXY1?>
zTAH&lKyxR;3cS>Ar`h-nG0<H$jpbcx7aLg+QdF-8KIhu;fEx(<Q>3I3OnZe=pSv9&
z4smZPo;uBwPHU+8b}{^^mlwviQL;L0-!FBEY@4L}VcenN<O<TSxgOA3`<8+n1=vq&
z8X`NqUUD}Y#zRbHhs7TM5N$vw=Vx;}(RM^NFMIAJXo&3I;{sGu#At^JCH5=1D{*ny
zsy&bik$`Y&lA(4!UZ5RO(76tC6RdT-p=zHs<DW$YP%8{>c6y-$9&=0@Lc3UcWYZR1
zB8MBPOQL`tZd%)we7dGE4g$5B+UiNiwK#XVw@J89<>d@%r{^ahzQ<$7BM?()=CCwp
zx-CI=89Q9$vfkEO9C4L%?EZ>2XNK(!GORFyUn&aOErk<hc$lck_okifh`iB%hhDW(
z;gHy36NobA>YWI@&1X<6mKkg${Ndc@Rab}itjOf50YlhC%@4EiB(~pZ^pshY7h|9<
zw5h$PX3=8}aB3`<vDd{MWXxQXzBWJpW+-%Bd(R0nWdb&fFd7%bJ+Lz>sW|@_q6k-1
z1E`KA%buQ{Yrqx%oc`vS3ZWufnr+}^?2r8TYgnoXbLbGFrgFlH3W{QVsm6jOe+8*`
zO)L+ApD)iQ_l)88cpc**BtnmDWKy3v$~5r(RsWybf15B+4bp`?sgWydm^{enR%c}^
zY!eH@hZRGc0)c&32FibBB$U!4BOwQv!0WTA*vj$ZQE`98XiG2v7PH!LwId}ZY(hX#
zutJI|yqGFJr4R+UW@oUqY2Y#*vf5Bq?dVfh*fO!xBpcZ|R|1A7GsAq<6<g2^8|xr1
z@`>cSKl*nvvWp~7bEr~LgrBmQdGlHhnu;<g{^49Pog9w$W@^u2-S1ypDiKf`vwIsM
zw(9rPgMkEBCoN6k)GeQAxd9f68^6e*sVtpwFBz6H^*KJ|#rWpMC6^ntAHMe7i55{6
z@0G33myiq}B8Q!lLnliW%@{lvhQL<rO()2?yCq@^=1YN;wag<<MOz=bxHs<H%GyK4
zKC}>dq#gbL3dyjezcf9aop_JqZu}7}uWBMC%!bVV<R_ka5mfFFwgAOoSMxwvk8m~b
z+uSB(dT=MrFmQ4Iec!``9=#@l(}(X}T)72=NjczwN&6NdPsBr#v0i^&qie)EOnqEY
zC=)no$gh|gs%ri>^hAxK+>eIutD(B(;rXxdVZOvjLs-VEo*%>(Ru25IX=$hdGQyr#
zfmq~o`$eK3s!s(d<aRpY3z6$_57im=THo*^U->lD-K(JG1|HH9RL6kS<DqF34)Euo
zI?}Zau|MqUh-Pg3X4L#=POn#VV{uywox3)_dVF${C7hLbJ>hGse6CbV5vMF=qQ&H8
zk94=Qps*1;5)NvtvBtpO$AOEY_v+|>P7nbwXUrW~qZUTFyvrfrwYlsa^;Kja?@sPg
zDP7o{C4<x1^BKn?tT}vP1wkgq2~z6#$a0_6Bbz|MEibAIaRYYtZz4T3ziS@5f^T~D
zq)@R$MnQTfM9n<O>a1*SURT3R?=={cezV$O2pQ26y(-1tEI2A{1Vr+4$o`_)o<;MZ
z%5l8r!)k*pY?I2O2M(e6t9!wiZ)u^wk#-qL@br^zgD&Trif{5R*`FLRs)l2wK6Q1(
zw?V(uyCUa0t`mzW<oJp6lBuf=Th1JB<t1BuQqMyR?3QFNdSU^xK<Z!QY@Hw9a7`Z}
zXRtN+adC)(*vl;$-J^F0PZN@Zq%W3&FRuK40wL*f*z`Xf2t-+*tC%(i#`uJ-^O*lL
zr<P=3s;(YeQfLVCwFV8s{b%M^-mwqu=Y1bL$Hod{NcinXEcXHu_a#VS>J#}%W8si(
zLC=Pjnjt<$$Ai^#4qZA-#S~!$C8v^Mv86&}tidd&(jtkFFDub~T=l5i(L;5_e~VqP
zJlF#oXOe;c<uAavV<TAnUz)TMB?$Ja4h_2}B<ba?uCCtSm<_fyWQeAt*a%7y&LoOj
zUu?0-zmBcBkR;)XU%B^z@aHcgTc;N<KLv7$NMJL|#@PnqYHS|8cP9uFxpOP<x^>LC
zDT$dCxvi|^b@Z1j%Pq}6{49QK`K8V<OOaFI6#6%itAF_nJ@|NIm^{?xAJGDk=R$;}
zrJE-#eOA2?VkSJ9VN6=mKl2BOvTeqUlC0LZs>tte`?X#|zLo#2<u<wYTt!8NQAnYX
z=_*4ssO-?XgKdDmpIf}t-z3dy4_t~h9$igksZ-^RySLLHnx*d!zrA^7;IW)J(d}C>
z(%>GtrdN2>L}J*&196sADa^UBuF}WCpZTFc%CIFXhS;}(Sa#))Sy`LwhFF_4|Dts8
zA=%j-s|MolacJ{o7P9<)y>#NggRwxP-mi-HouC4;JoZU-U%#`wU!(9NX1)0O?{J<%
zZNG{40&489po5qNoS235u>?A&+3R}-Po1Pq^2FWK>S_lvem!HpRXA{M{86ML6)af9
zN(@dV*{k&7^@!WV?IfK0qBh2!ZEmJ;)Y7RSHdQc073UfBWy-olKP4JW)TFA$863}y
z_I2OJMqOwfS6o$&>4DDR?pHUvz6pXp&`ekSRc8ZlW(!}n5FsfkBU{mQ{GPQRU%q@n
zmo1H1yM87WTZ6e5yRU6^vZ5uQ&f=`^r#XjqMGhlTzj`h~weR|zrgUy3Mt+)@rIiru
zHoWx`$NS{1W;;A)E^^1~aC~rQqP}}Us@r(9w~g6Zbf;V#XMz-;q;rerF~0Zchs%xJ
z1xhdeycS^&T!I|~Zl1seC9%&~RyQqo)r7?5`E!x9(GzImOrfaSL)?3J*(AGi_x8)p
zjBM+tPq(IEy440HwN)!ipT#;R13D&UTgLXk>9%ZtGbq`Y=f6@}-*k#^{Rycdvhz~o
zQ_psG4TdOxXxpSdhXZ4G1)Z2~<&|X=2qZSgU(;^z_1qcLUtkZhIIN<v#J<g|m+^vb
zr==xRl;wTr2jQ;w_;yYAJ{kYV$&NieD)l>$kG^zwU1`o4#ivhqO9g@F<IQPVsLW9`
zy%h*gm*UZZIV#|x5YiZ%I{F)TU~y^5IyuV}h-n9<o;{v64kcs0JudIaxK#w-e_!Mn
z3zoWSX=y}v!`RbD4}=A%6>^4_;CD5HHR;tK=;?}S70#d0M0_WCy;)2{suG#2U(NVU
zTMC{>tLP)zch$s@=0%O+k-VdRM7@RJtkdI%s(3A1$hOE`mJBhwKMEiqil#rPH<D@j
zb+y)r@1X1!pXxw~O0#$O!uFcM+|V?j&}GF$M0QQ(2{1jAt(s-SWngO2A7_MB-cvPd
zi(y)4`s?RV@~qOuaj;x>ImP9mZynh6I=mP*9*DoHe7?pL8ZhT;tUUjkVI-YF@N2gd
zsXVgqR#ybk_zIUJO;XCjI(?-`*{tezD+V=)ok=s~q>zJ`x>Ul%Bi9%$srP#Ra!aJE
zrz_=8YALF%u3tfJ{6FjH|4M99#;Y!zpP*&6%Z9CkWIU!|zFyT&@4s#uniQ;RWnyGB
z)UT=KOGrpi4)iE<cK|-vVkz|S{jUpC=#`a*cR(G+7A~t*Hf&flIrdYnYScH^q)ZtS
zKB)%&!~ILHS?v7Y*gmvTdY=X435f|=gl{BfdvN>D-Y*YKymX^s2Js|gBiP*Q#>1#1
z8Y~^Yh60|wQDeIWIlS*jO{5Bq;nitgMIk8*_66EBAxFncrY@K@71e*mAj85OM4jLV
zbtgU(XLrq>4c^%hgMFcs^}FKqsmC4LQh&er2rR{*Y!R6<(kjg+0hc!g<bbr^sF%YG
z+qU`cdlC{9Z4W6H;!SoDEjb>st6qs@**CZHFX97_+^xDA*L<#g{cIe2bV%VM+%s3z
zry_YI&t*CL>F+Fnojx9Aged{#7TIHbt|rBNFk$!Sa<~nz`Sp6*U5D^7kgxlOG>oXo
z8d*LC3Rd|hWvr%-8&*4*52?&I3w?)qyDJBZB=!ytWXryp$0xrGYA#r3YMScl5xkLD
zaqb9?XA;d|O`<`+-SGCe@qr}mb%cNO=|bh!MvBk5H1W|p2bL#Jc$I20vC2&5zRz2?
zmQ^?>aQ`YKvsV%VbdD}UHX~#1zOV3E*aD&;&5=!)KPiJX7=($JuZzoO8jxa7y!(D@
znzwf1S^KxS4JTv`P(z%w8<quT;P`<NsguW8tV;9S!U7{7gW7Bs3Fp_{d2ikUA?osI
zVW(6jDWRF(jfJ-kQQX%Jxp%9DJFC=M(mBjRYH4QXpGrAm$GkX^KjBPC^L=zMW*lj7
zVK#bkb>+Uv{XMRd^YcUFg?*GyY3unhKa-5F`0m~wY5j>YauP_ty(r2|=lCiagnsJr
zZDHFmD7Nfr>Q-A@+c7ZyJtr~)AAg18zJL4VlpTDk*?Fp^lfP#myotK`e2L!ks8z6s
zAn=;mbbtA?%MYyBu#$AgKczO+Xtt#@+whr9Hn)rE>TL0C2~WjRrbX6CT2e}$Q(N9-
z5hmd@xZU|a^q6l#*wp*4L!_eR<J+E_W*4hpi@@UCh2Ss;#C@i<)z$96KCDKtYH}Vn
zIKcW-q&ZKEtC`j&brfA9)dJQKvB{-(e=u4^Ijg*$N4#_1Xi8;vKkzAS-X9~M0NEsS
z4`ttM(n@uxv-NCHX~?eH06j9I=hN&O(Uec}tIAAJu3w@J)+Zn=#o_5ep2X2UYb|$g
zyR}I_BJshGLDI;bky+msXZu?$H{?zEYt-;fGrDQ@BK28zXX^}ilWp2J9@vZGn1&i7
zU$mcVBVA?409Uw_cs}`$LutLQG)WWDA^o(h$*d2hgoRl?efBK;E<p;e6b{K}>BTnt
zd*vnLJ47h<l)aCnRe9S=L&r6XuHO;J^hmF2^bohF4r9oIV6Kl0KeFd((<G3H-l=Ko
z)!Gkev-Uq@Zy`>8!{zypn&JhjuzcZvdX<Fd{9TaOy>d-L^h$_<I?9<=03VUsTV$sY
zm{LLg%b-3O|HTmd^8<O!U{r}-+N>?H<dMj(V|Oct2T^Nv?{P}j*B7(Cuv=1aUY3)G
z>*g)Q=|O*eAOXVGZw-3OQ%;cq-3JkJxe-f6=cBd&+x>EpZraC@@lDNGUc?~=tStgB
zzGnoM=q~zs)jD*7yqZboK6^9&*X9FUVk?2Z)+vK8lIv0eF_fL`k5Bj`-ARi6HIw?M
zWL~Oq&9_o(@7a7uTPoq@xq4IMCLUjPhbY0d2~8f=w?;P&xaS=iii?PEt2PaEs7Yg=
zjc?c2IEA)*`92XX+jQhz6y~e;*bMXH2o}EO!+6>cEGC>g7T^B0Jq5RF$bEqvrL4ZL
z{KA3-%c(=N2)Fae6Be4qY@_xXhtQvzf+cf<3?I{f7`=Q@oj?CweA4c%2eGJ!P+6Ds
zIfu?_kR31jyW#KPMXBd$KQ^WXKfjw>WN99NuK<;4=FfKj+IRi)7Ovoh2nl1+Y{r=-
za+wr7$<Z_kOV813BwVLK+0OJaeXcPf9OQy@N<R5wtt&0>%GDd;G-*)76sAOrC1Uyc
zrXyX;#dVps-`ORfGKGdIu{8UR3l{$?a0>na2RQJAc<xFtlNZDa33<p;%O5Tu9v;$~
zF3$t+wfaIMKFpiOR{BE|v))MzbXWrX*DzPCW$e$H{w<`+uv=IU?@Z%O8<>$Datk-M
z8kC@<MMd3LUZL{3lxnN`MSlt@5#w>|z761h^G#`;FL2>xQaaAPJT<|q%V+kc!^xmm
ziaiXy(Y~nG*0a@g7Oc-QVSt4QQqFg`SYSZeK3Uf>*<-w_v%B_vT+sK(-E(b2WiQD=
zXJ!KQoc~;WEueM(tl4CWRh~|)N)m2uT{~=7ZQtWCG1>aVMq~qcpZTFi?}FF3M2m~r
z^&tJH$XNy0dqf$O)C}~<Si`f*hF1@wqoUpn-^R4zv!2>cI|n|Rju{;tMS~@>Wv6Nb
z$;mS^4@>|M<$Ap5eTJ5v@}aI@HaYuDE+9Y`ttU$CRcBbxR#TL%b%nptc&urJN493~
zL9ym{@=V{A-8Vynq}6;<aF=b{rU9-P&z2Deorkt5xLxcUG4*pX%9Yn2C)}CYSkY?x
z*D#np{parPE*g3PudxOO7FFG3XHMYjEpB))Nqg@;o&L<2+1PK>)ITXpDkUT-X(;P^
z=t3kQDq2G@0m_6TB=f+)fCmgMGj0T&x-b{9c=+ckK8vRrOI?{s*%X;C!{G!leXHd+
zR<IlZMT<U1pu+3<Acq1R!_uxIr!0%#K1yAT@-q9Wd7B@xfuE?lv&;t%ZaB;|BQ!N3
zjzgnl<_ftdZ%5O2g|Uvxrb00)q1=7$Rw?}EJO8|a?9ZMyoyBAoCnc~-4412Qyx2;>
z%$piV8NU8*4|0MVay;las6Q0AW5IKp0@`)0zc*ML7Lp7%#KETg7U@Ihjq?I?%!?x2
zGTStiHdo>Xgt{dnB61t3L2fd*p7kxvY&^@+{N0*oOY~!EV4w<H&z>w^#ojFcQue$j
z>iHEMw&_KU^<LV$l6g6CVr>l#TSuwBGu4Qe)0BAre4UcE@VrfT;>wRU!LxM<wRSFH
zi@m>sSn)TS&H7HM{<Zs2ROBP8GE`{`X_<>yNmGdV{_(fS02)TUX|nj5!z-ZTgiz=A
z3rSJYq0-^ilfYUnuEg=6fL2ufg{A<J83dGE^NOM+Ku#(Go*{&u3ItDZ4i^$F_R&)T
z_%59W!(S`co^Jp@`Nbih0Cw8%$mvJrt0WEuuZMV@lg;#r?z0Rb#x)y5%v+0y4O2c>
zQJcRkFFqE#IYSfZ`}WojPpeZ@$_%CR_HxjkkrvV4G&uimbm;LcYYTiltrK&&%9&!j
z@^~#6hQ6`i`aJ1rXi#m+sN{$o(h%6#f1!ijNba^SIz409#GB46rrIq1><Gc#!JyXU
z!TgT6>Ad{tHzdj$i$x0O-UGdY;N)(vy;6Gr6;D*smHXnxnLax1a3js$7v@a_p2^x!
zU*DY`fo=ukiKiY+-KUSLEj(p*bN_|^UAX{gO-wn6p1^w6DylnDM~9`!L*2ow04Erv
zAN5|06)d%XA}VZOFNx%KN281l)X66SfZZGpI2+dWxScsZd8Qj=+PIize|OkbIzH0e
z%(*igCx-KW%MF7*8c>X-EJh-(!LlTRUgfm^GV{BF7J@51a>j`WtQ~y0DD|c8S89-r
z_~V2reBYxc={c+a5dpb~iHXM*x`anWRMksv_4cSy!+7NQ%NIu$z+-0b-sTbSu5?6x
z9qgz->CHI<Q>`-7UkqHqL^bDkc$MFLSA5Rqp|b*k*hML)KIE#-PCMc83zPinkiq41
zm(Rjb!`nuFa*Mg2Xyt7UkAhD_8CJx_CBpM=ol>)RS?I7)MlVMb;@r3ArUg~9X2KP8
zGttV;6MrS>LG|C>bDXqqUv1!1@^qu6?qimfzSt^>XIbM$LuU+=gb?;_`e-!rDt9MX
z%?be}Pm?V$l-Vk#fAB~;19I=?t##l|?yha8!_@WL`1Vgu2?+{r?bdIA%Ey=$&&g<g
z1PIaIQkUAo0k>f(?XG1`(Wr#DqvGf7ePTR~Qh78D@`jFhw=(Tf38z)p?H{&xs%t8^
zYsTv&;jo`HJ$#>jzO(z%#Qgc!hi6}RER9+31BU#ct6tAMDo+ImL`+v2JwsK1Y|qyY
zfrhk5)d5iB4Fy{?35galEYc0M`8>^JSBh&TKC<3^zU)~6jRXHr49wTj)3fd%gR=qS
zj7--V2b&d*53Vgdsl0>zqJWfySy=4qn{oqMozmGWL8$YlR;Sl;1zNjbc|V!pH#F>=
zEpG3@lKFFMXhPfHk-ktqohNLnhio~WYfqMghO=D`ntrC={1d9!(<A;1X=zBWyd+Jm
ziHVI3C^RX<_)S}b&yNOR_Tb`2K0vV67ff$TZ^*#m2lXc<(9X_I6{BAa$R)D*!>btV
zLxfJz9?WdlVJ?<M`uM%I#Hqk$VKnN6QLc$sx0ph~^O6?};GBAKhuG2jZ~tzptZAAp
z(;@Im51B>3aoa;q+-w^BWDu#bZZK7CsM<8yL#r$NVg%MBt&%khjz-oL{$&l^|KJ#*
zg=a^Hm1pPG9XYlQZliV4c;zzS>ADJbFb2|lU>-D^9Dp_@=Jy6j>z>h#7;nM-uX{Y@
zH4MThWzdGqwr?-(Xg1o??1q7+cfFy2d>}_#gLehODj@N}!l2=AzP+)%rs2{9$L<$n
zsR=(!j22#A9^>`hS42g$ZF^<J9sjb_sPmc057zyYhDD>*Xr5X#q7O$-dT;+YEAl<|
z%WAz>dyRJV>|pBRe)eJcZM0w?Zrja)H_H*VG;m(I9Mt&a{|;W4gvI2dwg|fws_gZr
zmd2G3SwU?gX5rW`sdR46*+yKuwmho&vKFz_aDTcdcCPZ(fc)#wDwZ~?;v&YMqB64h
zoa$zij>{XoV-h@b^gVrTvrHduhFqEi#iA*h?}>RcZZh{@3|48&l%@W3iDCM^H6yLO
zr%-TVn@Ph&&&JaO09>Py^Mx-aoUwqI>9ITzGhN36`rWU3T1yUZzxZTaPf>c_uUwo&
z7MRL-#BPU&aNkZMzW*A(hJ)g@RBv>JxR+9wefuIJi;-%1JS`wo@>O5or&%c-zO3J)
z={cTbz1)6PB%PDeCwQ^U-s?GD3VeU%R2Ao6F`j=fx}k02x_{^C_-O1B<>#T&O3dLN
zzoBbeF+OYhOj)Z$9wy5#T)1k=<=_CS#l{3*o>}hdy65HXeazcFqVDh<XmbkAZ+L)p
zKL=BZgUX|TpFJ_u+AV$ma$c@*_c>7NDOh{OcvtwK@1h^gGoij9e=K38dJ#~(ZZfFV
z`c~vzMXhe=*)#nm;m2g8+d(irqNZXXv5}joJ3;eN`)ZsO1=i32el?%?xd@_Wi$~fO
zv6K#@)XXJ&!{46%RAL~2;t#x-$E`B>Z4$f1ipct^*DN+)`FZ;%upw?K8(Q7-391!g
zh@J$3yM1<FpMv+x14g(R58kOfU4*Q-xTorCjx6CSc+p_P(T}$Zoyn{o9@sUv7@}8o
zh;3q-CHG<3=I~m?f@t@~IWclvR}!qtdoq_Zf&@HMB~#vYmt;+qR9#?`qpi?bW3~75
z=!ZADGw_=<!pk2)&Aw=Tr5oT+=h{v9r6OM5j2h}~8qBBb*X~JrEjT~d<2qEuvV;*6
zZqO@sPK4|27Mxwv%JIMdH$2DF_LR5iIu%vgn|<Fa7e7o~vUFj$PW=A>IQKnGuLa+^
zUPKjRrLNw0=^|}zZo24JjWXfL5LzOq=jZ1?_o0m`^x<ZGb8VlvrO<hC_!ZJ;UT!7)
z)%t<LytG))_vCYk;fSCic9T^+Cc~5<yIZVPX%yQv#BuydLk59r_&Z_N6?$@{2d^=d
zQz;XEf-I&wwH;a67f1v!0v*4;1#$ay+dJLKsja+&PtM}7K32U7_XtRD#QX$I7#wJ=
z#3b-X)c62}iT!FCU6p}dmTBi8%oBKP?e<}*aU<DF3e@t(!L|F()SFG5!Lzr1kn^)M
zkl(~-y;`!PvlHW9;sZ7d?DK4og**ZbqXh52wglb;ETBHO1>6<gp=?lqLD66h&@7O0
zF+ow(M`<4j2vB2x<(4+(<wci_Pey9nE7h$k)fxJd%<i_<BWfL&`5Wd%Xe;b4_X(v)
zAas{29oBwNnzw3wJ2~RxlY1CR8N<k&dmVd9y!=F7y1F>_KZqEV#>~voNX3eh@wONE
zS<sNtd_l^Adc?XHsOqL4BLjFv<B2WIZrqZpF!SuU9<HM1*3NE>74~zvNuwO;wO4}6
zwpf+`<q-YyHhW6;nn)+YvoSi;m&m(TE=SX7^P#En#FIr15!#5BrfG`Qw1<3?jO^V1
zq5UW+M;+XMwbJvLteU-~deg0^9)M!>c*=raY5P=3zSKz|*e!NL-bC`!ue3WJVm0FU
z>q;ZumqlHf#(2f|9-1r|g3M^9kEf51{;1x!x}o;^oR3^~Ge%`6q|4xc089r4S%EKd
z2QMjkolDcq5{Y)5zAKC`%A@?=8u{(pwjm$HUA|IA|B|DuDcTlQCiaHy{-((HrIAWz
z=UWv=sel7a3s#n*c`HDP&5nAqB8NNr=70WjJnX%mur?m&PN3PWNqAhdFjMNoGA)mC
zpV24j*+Dhwr-e4%|J`G5tDl4p{Xh_OmE%6@bFJ2=izuF~yX&p<(V~3$@yTG!lZ3za
zSnT{<JL@DK-d;<c9euY2w%ugTgk=MOYOdn^(fHP9^;a6B8wmRQD6TdEsnuy|KfU^%
z-`WH6U7rmPtcVMEEs_qV_EKUAm1G*Jw>wf;S3k1RocV%WJHU0k2CtiYC`fc7`#c^6
z^8%HA#Gi8?`K`x1VkXhPR_mbj7QE%MMD>W^UFCovUqN0_pDhOjT*B7%?L|&B>(NEO
zLpw(3V^wchXK8ZH*y5`^&c{JyZZk}KHHJh<byd$lltuA;j$ARxl1`0{j`3kRX7Jqo
z@x;zt34=e{^WQ&FO@ffbADvh<SPI)5{Oxr<&&bKY$out`1z3s_3#IU9IE1me9w=OS
z8GBKfY`s!z0a6=9fP+)7KS>Wl<1S8|kq1s)*sZf-`PaB6a2)vypFEjng{BBoQqQ6r
z1MuqX!AlxX>m9pIb*o&A*mF}uYa+x2-v5yY_^2*uvh0V<KaW{W<PxEMTTPHibQHV%
zEv|OD+uxUWT3>RCUt54lU6|*tlxZaI@vjeKf=vV^4nu$D+<@lx%_sn-SND$3DL&Pu
zP6|p&Ha6=N8C$@Cu=*=NUM>MEmz`eGmAzv}fZ|dbrvTL$tNQTaF5uTP;rkN8C%yoz
zgDt@iO=I<7p~DbFi3GSPUIqXxvX!88JvVN2--9^|SEUDrGDdfVW}(l%s{ATCkYU0L
znPBtO{KR!@c|6#0lFYCyn7cHDyY!pFWE{1h$H2go5^X!LS5EeVrqqtNYTn>=o=)({
zM~$35M4_(adZx)oDY^taKhM*sJ9(G$$F-i4Qi9uOsk5`qBg-vrz;9@dR^N!r;AA{`
zeW6Bjs2IsH^4NF9`h0hGBGKX3{|4L5K3}nW-|zXpF@V9-(%rqr|8R4L+6;)aQ`P~9
zs2e1io0o^iLNyOb!S}O3FbtrdM){zPkN2lyqM}ZxfjujW`vEx!nyslRDTlitVVjtH
z`!Ca!7BhcbUW6ZE*+@5QtbVn3nv9gIS?01xqFoB%Ah)Wbevs2NR@=y$CHV@lYL4TP
zLu5sw^Sr?`1g=${dB(fbxL3Vjiay4-qg~~VBUZTF^e=|jfp4)k6_-tToO$e))TdSy
zaJ3@Rcx6J?)~=2mrZM`4djvc`xz?<&KM0JUR|9LY2S5rB)nO?cv};vGmCh&t!n*r1
zV+LyC>~Z@!e)6Zu1wg+Rjra`%N${fKv>V-(0j*;P7v`fejTpPF?f1oqmahxu*@#y~
zg;|2GFXBQQo6q$6l6+<FXKVEyM6MWCL4w!N1&zNNu5`z`?U@Z4pwth(2><vkb>iK^
z!x2LXx87VdM-2}%cbaG1rl8(v5&2Jb+WR~0oU3fAzjkq}^?Y&S+x58QH?*u)=i!W{
zGH3S}5?N$XvyoHcgpR}J^646{Iney>vTa;`F2G%8Y|q<|bu;Nf&NIn!yB`f{(mwl5
zSad+*zSN-2Z*#g$r`ZHUwHZS3iD0vvyEGue71M)>on5T~o%!=wruvLErenB^PyJjS
zF2VhCg~tVQ2V9t3KJEPu@Lr+p<cq@H_NXtnw8QcI#s$>miU>KgLhMM(ewBZC!~ZTx
ziN|rl)$*q2mo~qZ?pmZpmfuGELi>ZiPYH-Y8glm=8vCtstp<dP31Xujtp)t%nIppn
zNWWKTQ39y9$K;$ntM@(SQE1ii^;^2TXlf46J2^nycC(9y7i_<N{yp~G0x!foFj+EC
zf`d?pZwBtEiyrMGhc$RZ<*!DYls;=-MsKf7oI84YnD!^s5>|0;C8&Qcur}MrX%WEB
zB%^uXnAf+t4B)`Y&-a+L{}bpZ-vyt<!v4aA1-tH~6x<WHTEcL_Qf_j=DxHdx2;i9R
zeE9gs#(9YOK_83fbkI>Wf}dX#+ef%47c(j^0GfcW<!(FyK0Zt&#g#GSWN(V}N{C}A
z)tF@;cW(5i(uNE+m~|)qXyr8x<b``CJrTt1bK!}6oDfu?plg!NnWXaYUom^Ya6i`9
z(;H!luxl4l9d@ucgL5X0J%yT)4F+r+_qP>wc7?uIIxxCCs|HBh)wVS+FOOWj0&$e=
zM1I%_PVkWHCq~p}NNH+ns`iVO)}!=R!j0a_rNr-Wvt@n~r>-J56}@^Q<4FP8NUxV0
zGELQCugu?mw7RmM=3Qf!NrrGQPf%alNi1rYK&U_BdAFG9ZqmLQ<HeCC5zFFvNhznX
z>3P9lFr_GZSy*y1<D*Vd^)SQIMx@FKkbW=oIKSv<3!3HD4Mi74(=#)ZBGZ#hI_bo;
zI6w#Ux$q{#bSsFXzE7l=K8~+rbczPyy5lC8<6-jMy^=|ML%z2`%`ZqulwL4G_rCpT
z#H}%c-Ipjssy^tZ(J-W6JB}#pP63^xV$Jp{5|E*EcY3ov(JpQs>8E79y43l^AFq<k
zb2nwn1r-DM$_2T<hmgIp;0qn^{cU;RFI`{ydJx>*=B_CK_8mkR(5?rKlV=Jbii48X
zVsu+jIhJLTSS!gSlwxR7;b6$n*-t+$_W;YZbkGiMfc8St2EH03%K(Qnf8h77gBf4_
z=7Tjlhg2^liEF0<q4#n5hDleYZ-q!;+<XbWd{^sIMgFWYk#917Yj?_mA)2OmAS6M3
zt|Ieb-mQ;T&CtM;v~yA@_j=-iF?<&vIM)4h{Q>>;@G4E=RRcSH3VFR-bjIBP4&{NQ
zG==Y918hzFL9j-HAJtxT3BfYq_}qpC+&!ytibz0KR<;r0<pGE)P~z?&2kyU~5CQZn
z9C!NxXgVF~{sI1bz1L_*dYjepmbk?5<@<Tt%Ae6UMB@HR8nYd#Jk!K==9h1LrQN6}
zYSuoy^sJ9NsKlVVDA+JEP6_$6CpFC%SHSNHi=L=(wavezO1x^05g)5*%~b19orr2J
zA7gDP<W8RjvOzuF94RuYF(AjJ>;&W>%<}_QqAN{cJfNBGWPavzXrF#tBd8GUz|!!O
z>?Dq_2a^Gqv!ea|MB0j=x2)wsZ*4Yoy{O7RL}_!y(Y*}x*rRczi}*JFjw<url5jO&
zPaDnRP#sdU%Mj;Nw>RJTCnJ-yai@hDryhX`={fb3F;>6?jB5Uun&1M6A5-AnEJM6o
ze?m6hT@(%4Yt<Vusb>q{Xoy#DNl19%cplhw0<##O7pYI+SyIDN;D{KP=&Z(0Hh1=v
zHe$|C#2Cc87j>SP*$nk?>jl5UY4F}I(ds~)(m2IvBMe=f7KlEM|F8wU^aUc6t;J5&
zk17Mx1*>MSWCN+5@6)#U@8$$QPlU(Sj|md|<wyCP(Z`3RmZLFMF;9y!_UgKhmf-HO
zjjf%N&N$a~ndkj40pekRcJ_LYgP2^Bm33yTNts8jK?#3@k4?3KnA9c`dxv(`f1Zkd
zWM?q&j2Ytmian0vZGUGg*AuZ%Nchr<HAxKHqv<E^x@e66v0;q@T1R}3ny2^wAn!e+
zn(Vr+QLLz-*Z`Gg2_Vvx(5s55p$h`ir3L9yLk||<7DOZn7^)&gdWn<}APUk0NDVCn
zsnP-xAk=VnydR(U`^Grm`Ekbick;slm~v%bd#^IrTx(9VS1Ikbaafx6r+#Y*SnKE<
zYi~$jD*VYo%06Mn61WYDaiy>R2LIUC#;=hJ@G^}czRSYsK{rrB4*}rvw+QynpdYan
zp!;q@jltHRr~sL|gusJz%X+&No6x=&3-`(Rykg!5GDA1a;Eq1RGQZDJ23Q1<LT>#c
zqR#hoWNEPUPd?Fv5`J`i8zwC3hfHCePSwIsw5xsYyC}rTlC_B$5@Kq&?093TE$Q8|
zHVX&5grc0kcPw!Fph$<+qQEFAslxw=+QS4pU#ESh@0&0kdXdbuQe*^PsW>Kdds5=V
ze+p%j64Tn=#G5K)Z!KD)4aHAa&D!JlpMp0ip;(NGf`U5@9Iu%KK1L-Q7jkf;8E|lV
zgc(C*ss&)EPP8$m&yf@eX6H_{MdNV$hA%`ldV?5)tw3=Pj1}Nxx(4@|H=zxH5j~0R
z(?CHGY8+qV;Ov}V*7(B%MP~o{<}Vijl2??>pY$M#Ct&7zz_{URe}i^K)7rqZh7(^n
ziXD&pm*2d9QQlVQUF)U@+^>25M$tx!T#V80DpegmP{(<%6vvFm_~GCcJ5ArM4@PfV
zJ5pp};W_R>iMI_i|NCu?#LkoAY}+T)Gbi<6J*$hEdJf$r8n{JD3@t3q6MV|tU^-aX
z$gbEJ1yFUq^>t{WCR4uBDir{ZSMaroSV`Cbq_kb2vV=Tz9e^0#C<uO>;wFVz8U<L%
zL|zKuaR6H?{>&)JSR_sz1HzJmdqQr%zD;!x%K0{rxHf)`J#CnKvw(#SMvu0-P@)Z8
z`p5;X#{QFe-mq}2U0~F4dPbzo^vET)VAZc%<zt?L)LfF`nWec#|Lv0eSfhi8p-1uK
zH^xtdow+0-HOTgPF+3mkSAA6j#enw2AOB3mu;K1kTv<^BI#$I}^78)F7i`M12X`0{
zz=`#>HM_6&&q#n&gZzF$r2*7$^smK@vV0*d&<uIWV0`eia9;mkQ8yYZ{zU<h?AP7k
zK#4uosi<cC0Ake7-o7BflV<dOFfTIU<G^IYoI>y<pYeS<lmh?u^>p>naZ-(L?qkD)
z<pv=Z`906E`ac{d9JnIwzLqo``n+~iZ%6h$dtc3Y2!H<4u}8@b!!GZW4#6XinK!q+
zpcb8=m`CE9iS#kDMMQ<Fh1uVXtNJX-XU3-(X&`EBc#MO1L7Lq9@PlyD5b$9K1tLHq
z!K=7&aCyj+ur1h7ZpF|~l)v^ADf9~%r^eTBjYb6gk`A)`aJ_{)3j2!NDmLjvtNiw0
zFE@LY;xFJ<a#G<vzi+&?r{KrEh-z{1<fDEy8`+iiEQT7?%_ORCyvG*p?1?vN)^lI`
zBX{pMM<)EIVjh!_{>AR0diC!<(^w<RzB2e;D4AX-BR*~Jat+!p;+AtBCFr}|)X!}X
z$E0Q=!vliXO*xk+cP5_?-`JReuhWiPa{H*8I~I5B-L;dfrAG<`G8O@@M|w$jX&85y
zT;$v;3OS=Q?vNOchx<C6N|H;Zk+e>KjSQ}CL8n%~yC^nJ39&iRB_dIVTnv`G?DStA
zSVAUTu>P6(fn7tf0*im-h=h&Sis>z(L8*}a7BLCWjTQ^Se{GLk7x~s|_lpwlu{p>;
z2n#9Xy+1s#AXH6i)aD5n9j1Qe0EK@Ow%Y5FeqprL`Z}}Gq>7$KC(`C^=SwY}EqZ{j
zz`?nkf54b9eB<S$ps#J<f?hSx%6RtQLcEyMAJY;^2nr}~H>#CF#4O#vBlh-XN&ufU
zjYq@fT)y5jQ6rAH@{j-vE3U|*996xr0we3}HxmvlNog&4o(a8G#SL<b&l^}l8J!CC
z#i5br@251~m^%X~jgP+A+}F9WcD~H!E$5y8Qkwp${<2s(#o4aT_pKze{Am2U6~__V
zL2=)B6QP4Ep<UK5MMCw?Z&g?crhZRid1S-}QOh^HHWL)^>aCsHe3;Ao7oF`lJx@f&
zSfiz{|5ND0>OudDC7z0DCxnHCxt_SRBe{Iw<}@Yz_7OfFKEAzimXtuCz-biMHkIZ<
zlQ}?UAz-)pnDAvlg;Qm6b<Su8)bLjkw~uUxq%8VuCxWTqJjjnULGd35saj#l2~N^L
zDsAM1pPJYyN0R;Rp}v=wk><zzVo#6uv9LgYn1!U$dsIaaaw}kpFN8d^bKzcw-1JJv
zVSIPCH`Wts126F!iRt{*BZIll|KcHz3?~GP5Aui=K+4~zq>wBCP;mp}j@Y~XsjJcx
zaB%$Wxqy)`*URxDklfUJR+|8!$=|7LNE^DHj1H;=MQ9lb2|Z<^BIv6U>ziNO1Cp=?
zV`X1~76?nn0G39)EgamZI^fFj^Z@F#;kBu_FMWlcou$1BL~8#r!^KwUh!54cKHfy^
zvD(!Uhx%99zqPqMI|CL47CWI*=g(4FH?#g`@23Xefy5fgd`=Rh1e`~jxz8^IfF`67
z_=#U#pP~=&js6;mx;qg?p*xJlfRg_f2$%FjfIO|*SfPK7#UaZ3)YMuQUz!OO^j^}+
z;L=Cm5f*^v9~V~*r(CCn)G9T85dS^LAN4ry0x+;j2%P_iviIR7Q{L0dmnI816{i=u
zZ-2!s5S}|bD7bxlJO&>y>q5%3U5~yaA|aInw!pXlCaHI%QviF4xX+C_3rHdYKL-{z
zIH}saKHL>M6)!9;TZ7%sj@V@r3&pi%I`|uvY!`yoPopBan87skAPIxP6t$H)Tfd-P
zn(6r(%^LRXTe;j`{LMJX<1(?&2G9O6ZqD-|xw9l2Z!B=<pX0RoEuU=s`gnNgp+E<#
z@&><Zx#&!ukxxxIUJ3q-t)W?e4;r{E0L)n~1V1;}8UyW{WzT|`K#gcUickZBN+Tv9
zYtpD<?m_@CsVNxhfBVQ4r*`(+8?~Uu&sM~7x=l^rZf5M$U5QzaRzLBu%eBY%EqR4h
zSAjTG*iUKt(qh#B`Yq>EaSlBUQ_5KrmXkKM%BJzRUh^vLFau<kTi!pI&tMY!*H-`2
z47d5J5V0$sVmD&N1Py31ZdAONsW({i#ZoMxv;5=`F`{V6%;{@w&^9l*xok>tSZ;O6
z<?)j)k@L;l^YJC>?5*s8t>tuzgEKx9dpPs*0m>KY;F>Ql)S6Hd8A1fb7xqGLjaKhQ
zc5d|Aj+MMhQ;60P@-X}xLV_$3$Z%4axBgqo-Zv6N1VV0ADu?-O%#3)g;TlKB7**^7
z@7L0?&nnEE4!j^s_^QBK^7USb4nN*5D_&H0o{t+?cluy2Y$(PV<fZV#^=F)k#hFpF
zM|*4W`^TsEpOAf%7ARqPN3>CKG{t}V0<V(qRH(0645mv(``;8s{O%QeU%Q#1dB9Ek
z`3Bti7^;(%l~uqIzr#scvpI|!`%x9@jctp^?ImseAiIsXW3n|aKQ4<Ml0}fQUjS{Q
zhdKFC=Z?p-<C0;o`<JW?F&VEBwA%=Aj)>Z-oEcH}+h41yKK299=&LEq2Em;{)yWGp
zWEs->+}jaclbKfX<v^t8=5wbTZNn0k0jnEHnmmDfgMz29PygPk>VfKQmD=Z_3#VRV
zME2o3`hKcOUxLn?4grj4u?$qy$Gd~$?MV61u^LL%Jg<VsWHajzH@M9H=zMOdy!-`F
z;9kkfB;IIbN&Q$&Un|=CcCt>`NMU`zCVDMZ(GR8FrL$i8#dBHOldECe>Dz0_H(Wr8
z31XBDQJ~gC_>j$3PmMoL%?A40@8tk$Q9>8~U}n5sb>oFdC|2J$ekw9g?de9mj#lmX
zbH%*o!+%Y&U&-u-&;BVQ@*baQl_8r4=a3MR{)?bidn1N=rSS<2g)jpWne!$`g|&L5
zx@%?_bpl{Qf+)ciIOG$cnF&BW5mV)9U|#~B_2gI{`T1Nto#VEzN-?6$M!{#{L!YC0
z>b|A6c@m6Y;p9=bi%0DUtjvHT)o(81>+?qLb_j^Ldm1@8iz&*#W*cVgfA&IukXX!>
z)O4#g3Cj(BkCMYh8mu9=8+#`WA5(5Cl{Vk~@3qJHH}qd4Ivdw$)VGAb*>B<3C4rez
zsdg&Ad;?RM`KQ7y`7jh5O&wr&@oYQJAW_%_1k+LQC%0&T+k%=}c@wFLu%L{<vp)_F
z4qo?DYz?d2#vi6wEDrSc_97pdnFS7p)`n}@&8X!5?A)Q=+-bP~**e~6!oTY|_!6vU
zF%*;LJm-YQeJ>AMe|Iv!4$%B1SKMilF)H-B3Jc)!V)w&@(x4i@wJ}dxbOFl0kVgGw
zuk3Myd^pDQf5?3QC*Jnm1CRb>y}<bGoxZ(cPoc;8*91?2%=gMyfH^x^za}zO>}QN>
z-*|4c%nL|U(VZR}E63O^%VuUo1Ljl@Rt4qkK0klBGJtm=KJt;1-J0w5=4Mq3)ADr-
zy}DL|k?H0B%RVdUY7}DFp!j-tMbhSF=Pwr<)7e!IdUErw=NusWx$|1s+Wg(=|K$Jl
za${n7Q9WTpu9?1xQLCz#Mby$HfY9Y8VsDq0mP?$++)TqQG1XQNRYG7E^OX04mW9qG
z#TNf}_3sKrHuCT3r7sz~a*C|F>aX8E&Ybi*B<8^UPs4LZHHFYj{AZ0@MTd$rpGqg^
zj7z=nV6T6QsKy>yG^{;mih9fuvY=Tx|0b!-&&xx&_@8Ehzgfy1+vC|Bk?HNt;hpk7
zcsO?8V;D|)p%}~m6HnXc)^x&@Pr|uhTS$UDJ|wQy@Y;k@8>g=D_p_<WjhHr{1d|&Z
z=%sLo<vCIKCVk~CkySWuMg4K~57_UH?#)SL8V`-4{-TIfvG-i1s+lF@uUoM_Uh->6
zeicz<8?ZFTGSn^wr3C$gT{JZ0x!4(r-VMXynJalVI7Ng%|LG|Jy*T*HbK9??IzXEN
zNTVpAM7$_GV<Ek#lQ<ZY-fATFjwfLB$v5S&@Fo72z#Ff+)T{HSQtzEnfBWuf^!q`y
z1x^^vZh!~u+c4diwZ_5u55M_uee5F)OJ!&&dWQUh?fCI3Z*Xz`Y*Fiod`kIS&Pb^6
zuzrXto-@=olxB*fT9IpmEDuo*`7o;1!qI%-K%3v(A7~5eDYJ1+pogd^hd6KPAbEjp
z)T2$*C|{96Iqd8td4X8qvkM5`K}<k*w?KUPfvxC)3NtRB6Qeel6q(i$M>+BzJ{uL)
zHNgpVwZ<v-wo80?<RvN=THRJRdUEAZ4?(*Eu{^EFi>dCbC%6Y%9hMjUheF|A$!RIA
zGxsZb@IT;-x<g`Z&BJS2Roj39P%^VMU$j>Tf*Mr-{=CJJ4~>}T^(j{lVL=nYnGIe<
zwwV~7ePiQ7!g-K)=QFfLi<rRlj3RB+q|wN30eqdby}lT*Q>RFpayCLgbGmy#dVGNW
zJu`KjlfQ2cV=9qfCv5)1v96BWdC(_|{RRJIWQnL#-{bi3>KnHS#nYEl?R*Ks$aWHG
zQ9M1<ZMsCYhjX<=P3+`f3I-?_@%$e$$;p~G4F1B-sk|>nO!s?MQ}uFIEk4-&x16lF
z`a{+2^^ICl7%Bh&cX=UxP=y5w%?y;2`6|KO+D`0~QBZ6Uz4Y?cxLxV$u6pK*ZH+}V
zV7dLFK5zveu!!)XkX$yJikDMdKU%Blm?4<CP0d1lxEL)xrryW$d;oi7)S-TSzhTaP
zHMOPgai{W~rn;4-&h{~5|EzT4;vLO;??9*VlE~%B%bc(O%XJ?70)|Okx&FX;-UpNj
z1Vf0aHlr#+<ufiG9xEq5(A#F<R*!#W^8}-H{jmnQ-*EoP9*4e)X#5s=;d5q4bf?!n
zAIIkJZ-hSji*zhIwUGnv-nsIFb7d_4z0p2#(fqqFfdljW_+);pa_~~t`jS<Y<;j1l
z-~aUjr%uJNIN9&|$c*af`ODRqzILoIy}EVv`;klE)Y*T{HJXaPS9m2(nC9WE+D=ul
z#Io)VFQd;e+&e%6S~%eth-IK?+p-UrlPCbvBF~@jOzkV2c}3paQVV9jBX;h;_wKSs
z?Rf>-$k`EB#KPTW;-jl^v!wlTi8lFI`Hu!pC(G+|vVVtStHs?`MlL(#^*)}Dd%6Nr
zz*f!&^%swxY*Dp{_I>?6fJ0;OI(dT-#JTcOP3(XABQAT;7r3jt#<Y(VQT49=Onv;V
zI-672=;BLIM^3Xi8D$swDXz^|M}?5`d{gch-g?a`u2nb3%Ken$0YSI5n}p$Ic?Z^=
zR2{8RpKqx~lc)b%L%w`jd<1ykcbhKMjfwYh%|^POBkk(^pM7S6++F-WM5Y8UTG&?m
z{ctiTF^s?IdwV}iQd}sWvT5xEct)(*M-cX(!jT&JyIj0nrq%bCLYn#i^22SRene#8
z`7Y#{PXX;WV(5{+_W-58+;hqG3f*30;rnUK+nd;hRQMRrRfFa>r-U@yWU(<R;r$lk
z`^VA~D@;Ng4po!B<r<_KOtBQpG8>1<`D(g<;u%p%yRir7RT!y$(kbq7^e<F6sA*k&
zVnMKwQs6I?uWVa#My~b;wvxv0F*^V@e*2}DX@`TEnn!kZkNo@uvLDO9kFiUGn3-G;
z?2bN#4j&76CWqKNFjfI*se9r1|3JhWlw2JZ!Yo{-_b%AKJy}KA|2{?NyJ!McxpGPZ
zeu?dA&k0E8<z~^kk&_qOF2WyYUat366q+HvI^XF!#q?$Px=O5g)^yi1H|*w<^<U4(
zwV#)sHS_<?By7)A&3c=<Xb|W2+SZ$UB6ny-Josh=#N#)EeGTd@OU%K|g!K*rVQ0g@
z$ebO(dePWzPJsI%tLR(vdo2Ku2~?&M=hucqbgH%wI3&^sK+?e&RAlBPo#e)>4EoGy
z=HU3(10-oC5&r=DgI4Jm6;?bUK05O)I9_)McEnCN?o!JE^EUanS$8#`rHiVfZoY1a
zpSmP|wy8yR^xP#4YDu=RUrSSft<dD!w4$^O$Opz;WcKWMm6rEn#ES$xjQ^Ji<^L0=
zcJ0|eS9yJThVS>=YP8<0L9hP{Z*K*db*E$6Tc5GsqxVf84Ygo~bXU8gj4eu%Aoh)>
zAvaI0z#oU%3Dx#ieI(WO?4{KxM8{4PF752mA9~Zi+)eBf9c(-|yup-oju|cdbLMKo
zckaIN=99&8D_8CuwK_0(9CtLSSm6>b$wo#)`rAw28xW_*JYnaYOuD~^K`x(s^QiRF
z$vSrOdh^Oh8%cyg(0cT2%<v~buh8oBs#x_`=B4Vc^;YDL8kn0a?RHh*r9_jG-;N9U
zp(^$Eo|zWwvvDk0{(QkC8FkHaV;>Xa@gx~&-v~oU7ae>75xfISrEc!rlY*YDWA>qp
zV69^EWDt9{4qFxQNZi!8Y;C6GW;|frYH+<RaX8e8+fGnC;$tkZ%{_0HHk8|^cXG(#
zIMjHs>Nr%%Jv$rjKV6maq4yK92VJ+AKWI^nsX=I{nP<L|l)lV^RG0TNOT3VfHSs{F
z+maf-Zhp(1b4LDH^`Fc7F#FPKBQLWhI<HQ)63qV5N3Gx26H5pfw(ckO^{sKkI%6{=
zweTi6?ch*lWE9=kJ9!XiByU5VW$`v9!p%o^J!BRQ1u6`jWHhffA3m19CEH+iH{K;l
zh|;JJt?|r6k5=g!KchVi8nBx_c3UVa6B3WrfQdxgR6x#ak&t9hGU;<T4fzzi&hdnw
zwd>DC2~RCncs;RR(K;q#R2H?(VtD=3k9^JUsLa`--Y1Bg-SdQnyD%29^(hZ*WVhbO
z8%gc`7k+Fhpe%%D+fl(b{7~svHxs;eAHF?YQ&^H9)bS-LFpv4C|I~1H=0$O#w`gJ&
zdrC!7Op5HasML4zP`$TcN?u-fWfi7jw0plmtRAuDls>9etFZU3)|QvQ^*DL<*G#nd
zgz^E=@crV9E6jffWbQSQ>-j~H1F~9{mX<T$zu(D*pa)g^hR}mFk~yWepr}Zk``o$v
z9Hn$gEzZ>_I5cS$O`P`xvu;y`_*$*7Q0bA(F11@Ix{OhAJGA`4t@jldllxa6h9A0h
z7qrH=ywK|$PUMtwYSVD>+x%X+FzKFS^WvRQRLy)QSK(mJT1JF^Pjk;R9UXP`EdHQ&
z(QRS+R~}2t{-DDqXAfC0uJV!4^m&;7ys(&VVcpX>)au&3yI#xR&In&%c_Ixel3Xty
zXC3Bha_<{Wg!}ZSZL-Bmp*VUmP}cf;DBG-#L`aK2tm#^rCoR%G+o;HbbZPdNx}Edq
znf2=C?$vtUumsaW(d_j%g1zy428r;UmL~BE=l*x?TEeNVZ6lM^<NF--n&geS+p-1h
zno{2uQQp}}KtoA`R$L>b>_)o@n-xf^Axd%T*=`jDPdTH9tlCjH@kQX@eOX*b*g+Qw
zrb)Yn)-!1}6XfC9;JiF6^Pwm!D*#9a$MHxJG^#l<h|@og!T@!~1C~w7$OChH8I2S=
z1ZC}>Rb#1lQ_YoN2mmc<P(!#~A$Vt_AILI31mC@nqbPc2X~4Q<H>PemwA``%rFS9H
z%O_s2=ObDZ8tRg8C}%`9?)V3Vo}(3Yp@jVoi~fUW!lz)0o)}5kF^%v(l2Vj@rt(jR
z!0wSSy*9c63E6bRVaa1r^r_*PfD>c&nLgxXIQZw@mIdQ9KHSh6m$g_%Mz7Ln+3<BS
zm<J8irPo3|hetd+m1<DhQ3*T;Z<#40(Gs-;(kFG5l$4Z3G+~9-!!o{rV-GVj8J-iG
zH{095z)i-)l%S)9#@AZPez@C@WL$qYWrRI+o@SeMuSh2fr=ykJ>$P(za$=A2Z12(5
z*l5N4GlgsGK=;QP&|Usq7vR;mHVHZ8b-DH}EHmFaDU$0n4|ptspRW3&Gb|Ylo4nf}
zmm|Sc_-N2ns}KOlI${XE>zK}}Z6|&QAY)~Vg<AN}W)|g0FG15b2{h6!>d?Xv8YfxR
ztRF4HD&L1)x711E3+q9dVM6CF-hb!+SyJlI$2NP{Xu|@|q9!O$ifD7Ql$Au1(CMb&
z@AVlUw&`0RI-#lJAw3WNy~q!|BVs>}^I@y!c6zhDhsBkyo<EfDXNwukwr^?%-3KXs
zLk;fLu0Gr&&e95c1?KD)A{=B=PY;#z*2(H75}sYHD+>@Vw)q#2KOZZV)ar~~HG$o0
zbt^76J8!gl*qL*^K=0|wY1q6S+WpY_=W#Dw-3R?msV0#lI$YHL=NAnG6tZmPvu9gw
z4wgTJ=O`YZnk8Ik&Gx6ICi=oRb6%kbdt$R><FR@=sBEQPQ!lb5xn=~%np|)d%v%AE
z;)Aijop}gug~qt!{G{cd#CiRyAbyXsQUxFs;Coi>3QB%t_cDx}-z&yi-$pWrudhKx
z-%vm!#oLSu!$jina6k&Wg`nKk{My^womTd2!G&T|^e!|-qV2x=RLi^loh{Fgx0Wdx
zy0~{1$-@P+iBFs%pUPbHkJURg@Ltuj_g^~vOk>)EEp@hC*uh^tG5Kv~j-pnkB#hLv
z6wpu3;A17>PUBAez2KWlJ0nfh2tkWWI@(-q)bqgx4M}VtGaFho_c;x#r3{V4<P8Y8
z6K867-$4p2v9_Y^?F-U~y+a5jHY13g3u`G3b4Uz!l)L?Y&<CcD%IMxox;*jRyuXj*
z`_Ju>RsV{on7R+7QkMz6lWpBMdwTqI#(gqVyPCUL6bCkn?L5zT8lCxq;HJImic*#;
zYrGq6|Ha=WUsE;{($d<a3v)bHcSj(BSpX}frP&nSF=D1gnGTjP*t(@uIekFy%-Nb}
z9QU4aG8TT$%72FwvU`J8s*G@%Yo4oHiwn1o(!Xo>NCdil1za)AEp|0c%HFvj&~NO)
z@GeUu$L-$@g?QbotCiaY4c6`xBi;!Gdo%3|x;Y6;5%&2>ZB;|hXUFP!2YlLWWwsJK
z1Vzd8&&JCOyQvrOcLa3`slK`9_tL5#IT2NCUGlW~WGZbYuE_gLo{oy1j>|GGFy;~_
zXbPpe#%idaNzg34lb9HPH@a;?HZEI`;H@ElgH+VCbiw>%4RZ$&-1-wNtc^Lc?ax%f
zxa8&Tnw2^jeA3@9Y6A)(<ajS!M&z;3x^*m-jZb-pqn$PIcR+*n?-nc-NC<XDrvEYx
zz5R2nBSk@mkg`M(a0vRSTUp+{&Umr~Ob!~b=wW9jbc?&T^TlJ_)KI^}ZanjI1E)7B
zh9hwq7Zq~el)W<au0&VNe(z#Yf@#llKN(zjS3p|*AaaiS%AKfx&qLl%@zbo3P*nE2
zMxD*xf%n?nkwKGB7JBsW#Wkw2J$LG12AU5MxSK&;FaEtB-_1<G4Em=0a@HW{kcNLI
zHo`OoFr6eC2bkHCP(8_SDgSir<`2fm4ob!SDyg*2J;O}9`s;z1j69P0p!521l(L>3
z^aU6q+C|^p#$SSgpG?93r{VD52!%r!`_B5dICnL(?rrM?3pez_U2wS}b`tJ=<<Fw7
zbsctcW6S6b3jETp%}Y)%<I?7eC3?7=sSR%1mG%h4=tLFu47B7|KZHsj^5Ao)S!K@R
zs}=;5Dv|fu{nZaV`frpZbo}^nt#ul0NfxxVMQ2#504JjhR2nYNdZNlXBOCBWap_jv
zO%-+$Xv=q!4)8Rz0usz<+h(-+^J(?0Mp>O3<xuP5N8N2-2*Htkz~oRoZ92&<)uQ8d
z+xT2<@|%>Ablnv7`Uwya?4`E2u1N9d94?E%p=^KtBZ7|4&g&hOvpX{(m&R?G2T`{E
zIooD(uF<5z>Je<^rApA`>7>MDpG~9ooiu(f?YLlrq&M8%A62Qm_qb1No&L)OV6uPn
zZ}`IW!~_T$<z!gT+J6IuH{KYpO~v_Lk6C+Ihop_UdG~hdMJ;5%&YQh|O0B{(bf0C5
z1r*kOXdg1<OLAj}tCQ*k;{;|jVA`7oIgR&J!6n%&@)#u0e#g$g6NshI?T}Aa?ai1|
zg$}FeCe$3zJ@9Wh^1ib(=xIt8wMZ|~q))n#Gk433=@G9Hhy3$blNF@0`uYWdL$`3D
zXrV(^`LeE5U&pdgIU!i;jDyE*tMwbuOamh4L7ldsGDY+GTLM?G#@sW)Qr?K3mNQ9G
zKGspFjR4+*_>U{&Vj=9e{<Q_u(3EZO7NqJoMRv37I+n+W%qu-#XhHbau8+Xc3nrGN
z&6iWdd{WQ^NLuovf(e~MJ%J;3tt~+{s9DhM$=oiI^F<x%$yR?a?mmZO0nT3PMs2^R
zi(p)fR_mmC>}wsZ!t&o;YpLHqsgJv1yZ1gYuLs%Nu`w~d`m@R*p629i)dK&y>O>c7
za&Iczc%4*IUU1k}9U^+Rx%nY!;-|=sfF&W8(L64dK%1!eR~k!1LF8thFp5PqU!1k>
zH<@-lFlTDT#iZhQ?ZqRhB&bYrudP@D!<uM$sQ2`#qh_wg`h6ZsY!~@`J@8Rad~;b>
zY>op@fMbfLT+9BJ>?!5xRAuKvyw-~`Hg9rm?)-t`>VF-SY{gXS&WF>x>h013=>3*G
zhPziDp6gdQ*CFt#^P#Uyen<6VEoJI+$3<R$$GR!{A=p{p2gB4x7T#a}ZPP<#t`je$
zD=LLyw`3Q^Dr8TnM`urt3S{!63OI=#i8eB=LHi{NoI&x*P;X_n9Bt{0&C}}Emk3fY
zSVquq##rEPzWCS8KP?<C^)Yx~yE^WDtL(5PZtuOGWy^h8Q*&>+qq*PcTrPEQr>)*0
z`Dv+@1zeq6c(Fpwsb9&kq*A!0PBUK<ZU#%%S7g5$tHB=DqduOGvW;~->&xFF(5RrK
z#g_ew{*Y~Hw|`~fSV(62R~FzL#*&HgM|a1g*q1IrU{$n_H_zNqllgEfKRet0-pPYY
z?^Y*JrxAGQk>_kcA(dXQXEaJ81*x42bCbcOP=Z4<?sOwaL2f8W1(+DDBte!3n%2_x
zm_bD4wiBf0em4xUX9`1>19F`BuilG1-X5@@$FP>xgU;42E)!*m{=sWEqIgYRJ_$;g
z;M~<qA09JXk*0lV7kQum#Y|p#D987j6hC<tBty8u&3(NFeS04dGh7<elMIHh`gC=O
z>)^K!Xc7<)D7}%^nPv}vL7`{f{`k}riQGF+lup08b@N;pId1hDEC|@1c`%J;5X?>;
zZeNH(Yfk^X8ZmmKQ-1Vai|q;A_L@649*EQww#-mDlLmpaTLQ0M0G-ho`^1uT$r^R|
zVrzL+2eEg^h!5KKdb{_Xq`ybjr!=8B#kT<sdxI;pInpVLwQ3F?vfkS^F!q2W2cDex
zZ-5EpDmOa$y_1ZIAg-Kgh3}HDM)c#hwP+yPtw#mhm&{WZ7lSf0XiizaSevI$pE^H%
zstZI=7bq0^@9V7L{JTpa_r;R{_b14c_~7c<;9imn|12FeyZ-_lp%MsCOMb0U#UGI_
z4U++_wB*aP1(EHK%&Q)7*eW(_4l9bb6M{&M_q-N<Ye*`0XGyl?25DVunan1JcK?n|
zk@vHX9G|U^-)N`*s1+xQ%Y;nbWc!mbG5zoYlD$Q5y<TMe1m$RjnU2mGDqkPr>2W@W
z6mD2UA(>!dnOL3oNaRg>3g|JQ*P|%nWuylV>=b%S_o`bv2coUPJy648MHGm5C5TDe
z7!<-<^!(&4gN#tNg9{l2!#f|&zTW))e*Raiaa8n6Wx3Jmp4hxV4`(fTf9p>w-W#V=
zWUDNG_twX6g?ERqlO9$OnBtEs`7#27FIh6Avn>nkRGBYITfGW<?wbepea^nliY$}d
zbT>Fx?*m35UyDdrLRloVO^pi7zOb*%$!JtefIt-rUYHpf5j`PFIw&v$z%ervOpF%z
zbag8t!|3p>V$*K7WUEHG=S`EdU-)|#S<LG|s8(x51y0f$qx0Ief8dL)ja-6Tyy@l5
zciF)Mio4klx6UBnrs8hqefV><KJXtpznvz4ljJ&V5DAU#acFEOe*kvPWC?FSpaHSe
z6_<UC&7=tE7rE{%`$=(`Y~2VNCy!ummt6P;Aw5c@t4H}TLuxt*uD#<d)oG|zCzM4^
z(DwQc=;0S=wfFJ%c8T}OfdHMRWZYA+1RMx)!?HjkphFz!KtO8rx|0lw_PdE;O-rJl
zI9f;IlF*{R1Y9}b)=NOqMC%R0SAMq=yT_L~da370;^Ammi^_(oD*2QRWxr_Xzvh~K
zI*U$D#eWzgTjIWsahUm81T0_av^4Vmg*C;?=YL<^%q#syadgqv7C@s-PXF)~JA}RN
zYiug*3oDZr6hyraxCpa%c~$|0wLPt^)Adn=g^!MlgoSO27=qkSBys|krQW%yZBV}a
zoq9DQ*s%K^kiA@A0F7ikVB&<|9TeDl;%xQH(lDK>0CK8Q0B<TTFfohe!g@DBfMkwJ
z1xjn{nwcNDITo2!1sD93kP{A71~yl?oV{oCS<HKz?n*buo{4{QG3W_7y$MV*4*b{F
z3m4#3e$dMEQz}R{00H=b_qjASqg<)2?^2c*+v9$BP;+sOKopR{8uo0G6E<@b=V3j^
zkJaP#awp<u0v`XoNB@e)+Xc0+HD}7~%_^Z(Og=qW<bA{6X-<TzY}Oq&SbB^cCWUKo
z9ZaleGp}q6-oWx0bPj?=OV(^0{Un3jNKX`2-|bw>L69tHA;OHt51W&OUY!Zq!a$`M
zTlhVV27Q>x6$9-0!v`W9DkLzD7zs*BIz5s>S0mC_29c+me&hKrTu99S;(RVF8q%Vv
zBnLySq23rc&QLfzwTmojs#LqX9Q_#B3eYml@zui5qz2?WTgFw<dr^~ulJYBoos*3P
zqR1iHx@<c%@b)D!-Ycuj4voqZmH|u!RziDPHCo-@x>w;a9WkX7Odk#x;+TE}_QSRY
z(i4V!TiEh~78|JL8nG~b{VN7D%xHsSm^{v!UCc|^G0oPOefUJhxJq<}bAfb8(x9RX
z3Vn&&LuyD<&^1TH1wH37{#_KEt%a&;m?f0ww+fa^#%1YOI6pa-@8LcaB!DQ8MoFH>
z+3nXq_s|W>jyv>BNIy?&oa0IA%%_$&YdO*%{mOKjU~>`r#_cop_7Z&)kHl9uAN|<7
zubCXEsk1ZY#Nr^|WD1E&{pR7_Gd#R)4c)GS*kJ})T=Bc>Kh+mO#vnzZM{N%E4QN-O
zcP(LiC`gMbz;t$tK>zzoZyz6vDN0&Q?@tPjK}#Nz9R=axw~wmfZ`9``F*3jzjv8jR
zS7szbK+<jZ<jJpBV69z-4d3;ey3i|X*F?3nwS&zwlkh@4bZ$E%yzZ^{M(4DRPih*O
z_V-BU$+o~+DzmhMO@D8szhMutE6bP{`(w~TphSV$va$<aK0dh^j6NWccYz{1K|HO>
z(qtgPVOU+|cx*eo%zNGtfaJe6eye%EHuWh)D_r5HdYKKDdgndASp4(nTp4SEBsS#4
zb>TsHZg1AO+(W(G$zC(!?V;~b6{%s7$wx+xu`RY<02ZH}Y>7=&^vM^BUJG<77aQY7
z%^~tRyW!8o-mVV4d2^z`99IrruU7AL$RW|>To@_?R9X-9VJ2iPdT$7yJ*Kiq*@p0R
z%utCy>-!yFGI9=#8WW3cQM7_v4g-d#6gbG6@XZyld=4LVeG_oxISSve`FXDQ3U|IM
z(MEdm^xTb5&o91r^9?J?Y1JYFa+uhg3E!FwCk+)nMQQ34hrV2c!6+`7Il!Q}z*Ar>
z*s5;w_4qZT{-H9bzOJs1O?*hRo*skwUM(juv$YkD@n0xuy1+B_+RXQ7XyW_#KVo&t
zEmYFY#Ii+A%YS`;bw=KO{LZI|<Q#r;1XpkuBcL!DsLV)mk{YOVpC|{~V$KSFE0gxw
zSy{R3Lym?(GkCtjl{5q#2z_?r_XPXWY4Sq3^WX~f*2zgQx<IAxmx#Uf?$(<4;1`D;
zZ$X{ZY8yw#x%;1}B8JLomK8uJRA$lx>&C0#li%N7n%EyNY8ouSTF+<+(vg;LLo+^>
z&26OecP5yl69C5e^ICqr%#yobTo5W;)ctTbS`2C`rQm!E$Y`8+pj-PH*9pi$D%l{|
zyl~-y{3*4ry|=4;J(9ccGZH#npt7<XEmtEf1ZIuEO44(6ukMV4kYfUH>pB=}^=%|D
z-w;Ego4^23rGQ?*3IhzmEph53-2f(@FA1(-VjSo=Q9yw;68y3!(dnPq5q6x*qSmTD
zjFV3#cn1o|LS?Qd#CKo~^qQwUxcCAVN}^>LU!=-=Ui@`*w93|GtPaJ^E55<e&5c|N
z7J&HD%6AzoeSy66CaMs3mf^cYporVu;{A@r?h}o{2(r)SRKgwwXfy=Tj!oqzwE@j#
z5Vg${i}sQ;XwveXXz)=gmmLbG{R$KNvb2&$#b>KD#A{Y*OW2vzc;Qm~*dg)CZW6iJ
zl~mQKv4x20@D%XCjtE0s9?qw#f}t|vH4CL}^f3x<iS7aJ%^m5aAb+30VQ1-K;{tQ;
zrg?bN9Ppk}k=awgIBZgCVIV9h*s7Ai9H7wo_{}-h9srrwWYatA)+HMhMlg2d`Ir)g
zUT`%+nh|h`JGg;K;ed#j3a?#s&p09TX#0~R6ii)D2hjHf=xf{lZWFC!NLArW>e^bH
zM_P7A7FDmbl9fUKaK(ib`;wK-9RrkMo?6iv)M$xgUoO&+Wg1DRrtNvaionj&|IL_2
zbn_Eca{s@{Bh!zE42jK&2WO+6z*$EkAwd{D+;vuQ1OiM{nK==y8;LGRTHH)(v2~16
z@tg~L;?7+Z|F9%s8F1lF!2F#u{c37zh-frn;S8A8&J=k{Ql1f7GckSTc7<2KP&j<G
z;}zOGzmQgs+VO9v!+z$}xg=&81RO~k1bQc$0-kqeZc1PlQSTryjT2`MeAxUCP|2j#
zM1Y51@lCom;^j)Ckc?qP!e!>YmDxly&-Mw_o4ELzLKB>%R*|??aCY4?>$S7TlpdT_
zG8eKmZcLNGsAgK!GU+1zY!N1=n>~X7&#2%hiOr_p{#YDD*#XlR@oIWkXK4`)<FTGI
z2m~UHQ?084+_P^$-r4nP8c-)nn?t)d>}lkj+!g_Zj7OrgM0GZ@zR)LJQpOrUgND@q
zU`2o6AD1}N!4UpWe<C&}rbIpNCYk$NTnMu1)w6|5OG|7F2l^`g39wt2XZr({_e|sB
zkJm4^qY8a!E(|Qja|U1?(XcIj1pX<A@jI?Yh;?h~n9Wltwdn-~i*2YO{#|&<qiUzr
z&kV$d7%z&nIIFhTMk2ewjTS-m^(R#27?UoSjPU`m^zkt`HkdyUP!7M4GNlQ?-KJQG
zUo?(93`|Tb2?=yt%kR#}>cf4qaeOiuW-jm~O>J%7mMM=VcUloRgQs_D(NkPJ<C^F}
zbBZ!5Yj!uPqx2DI6pjT3SOGBC2d>N#*?8n7d%L<~?r$Y$EP~i;iQg~NZbG(JG`3|Y
zJp%^a)(jN@=rPidF&739b{A3WcOQ6VX7m#1gCrURrZ<2`BKwG=z~QZv1D0x360>Hx
z>aSOeMx<*%q7n!9A@GYp4imZ5E<;wVnLJR!1Yg%eAazb2w6u7&*k^k3AV|}moIF?`
z)!`vPSU_U8v+mA3dTtrl3uX<RI{57c;H=#1CSFL%WOwNysP*!ftsG@#DtJCG_Gf?k
za)dqk^8>IU9BTgp8{qf9H6HNelL!CVKA_~F_IF!?C&xK>F<$uL=p!&T;myS(qe8Py
z{QQ()d!X-lft!0LJhQMGXu(8WXC=GB6-c|sV6QTks<uZVFjpW;<ZoN+?FFLl4mf7%
zDUEpFKPCe}I~6E8W6~xPa44xgZE?tb!+XymY4+??o(a346LW7ZQN7@Q>MkBxzhC7G
z{6e(?XmXuBM6s-2L4Y?qQNIk>b=mwix4WtQX!LF*Zm%rE6zuH-ZD^#>HW2^h;|3L-
zV=xtgSwVht!P!8VAb(IjfdbSGaNa=Y<qk%fIc{}*y|#^@d=<7C80-n1S(=|`0aFee
zXNCc9Dgay^pRr><#;m87ELmTc&byT08Hew$yFLQO3h%DKJIH-~eevz^?U7x3NR7Il
zb~mEk*^;}d-s+r>=)HCS$)d6y5QH?94lWq9Zz$`-jV;sKUhy)jrLx(JpdP}d)-`(Z
z$l>;dERc>yZ3fa6p<G@xarR@ON!#1oof}KjS0j{9hW$iHQ7;v^fkd1KD4laXzX&+?
zH8()0z^&G$Fm2qFB!MPaA@Is?CWzonNrCqPQCl^7*Ziznw5SpNkn0|X;l&J1gZDLU
ze0p$p(X?^qF>I6H0dSJgS0m{9K%p|;3!9<8Xf(zxKe5A@yADMYPC>cedPyd=*ZPA`
zPGP_RZ&&X^aTeV{z!U_u`=0=WqvaG7T}=<4kp$T6h1WPD7Xc5C6Qt)9x{9EnVA|EQ
z$1I&2XFi}n!FmQg7%u6_YX?PZ_N1!Xm9lIc?UbCren6Am5`UUJh^Dn+r)&FBkj*xD
zhb73<Wn){oW4toayW`-vlqVzUo8YMIXd(96ud}LH!_zFY=2uZGL=zyjBvV#argZk;
zw^4XtT1@=j8g|6_Xq#)SSFvP`ad)gn^Z};N&%hZFc>$JFX!bC4p0Q`=<*32N-CCec
z91yjTe}M#akg?vioKGMrkLz5bP?W`4>#bnmC~tzb!nsl8fw_#X+D?FwR3s!k8bC%l
zE_Z(KLAM6~u2#vTogDvZ%dvGNcw3aKC`Y7Q!Iw9o+%_<iH!~l2H-X}sxC|x;B>`W@
zkL*T692^}TCsGijo2wqFsv7NNkgNEBTm_64SOS0n$#aHLGE-1g4Aj)a;r70b)&wAH
zQa9&I*fK{EeCnvlRxn2p=|<TBXbfalA7u-#0d=<RIV{_nY<O#&e|@lO_aRh&f(Kh=
zfF%^HIC{caI^f%41zEXzfc1SBVM!*c*06VC*P~FqNXo%))M+jT4~CvMz}LNDZs6)G
zI$CHjn9Mug+Wbc%qvk~mYt1U;l?P{c<1&Z_Cbj2B?bTi47uT?-6U$dv!JZbWV9*jI
zsn7m5S^{;gnr&eO>sfD2bb|xeH7Z4`e**!tfA@+rwl!Q34^2XG$WqB&Q%{xRcPscW
ztIL8w8cVFep1xTw4s+)w>m>%ZjVvbE<@>+p53=&H28|IEEHt5#O`}5`249zg;=IA2
z^9TqmVu~8S$(^ea45~(xFXDptny*BgUCuEF*)ykP_8DDhvMN8h;NeId1c7|);}1ss
zD0t4uw0T~40&FssC)0ULZpphTI9g6i=SRI^ubAO`FqUfaeaDfqbc@Y41HS?u*TxBO
zmpBs#-)3w_HjE3l&a|g0P=YJF%jch_Sa{G)+7edq+R%Eb<nlmhb*Bhz-jiRKQHA^}
zC(K%JDXJB0#@=Yhb?)4I)R%iG5M&L<7ym_77Tu_Yg@rTs{Zk>C4qJU#YTJs+HQ23_
zih0C7J!)q~5F=<!e772>KAaX?GJYd|wQ%qi&}QxN?-Q}(1GjE<o0APdjoO)PQEh%F
z`mXE&sfgd!B~QS{-A+(%OPET?SOX_JWv$h+C};o}1TEmf4oOK<H85v@^|PfA?y4{|
zLbx~zojkG|27%Qo*!$?Gs(y}!Bk>NaW$A?TQ)ziaPVEHc905f-AVQH6&ztT<PfsT)
zt;5$#z-LX>Am)?JO}2ikxNMes+GljHv@a`To)>l6ss3>{GuL9hY#g?PrG|LkLZG;k
zyGf4923xc~pq1O%nKIbdS7zLui8_1mmOEv~ObpSr;Kc|wI~Mde+nv`BY$gfY%IZ2|
ze(g}5@gvSfE!g3-rE>|LMRC8sDpG}WRfA#O46LJYbzAmL!Wwt35&c4{_YOZJ`N(E3
z=^OBT0%nf6UDZNPVbXRNVy-Qocy~c&L2jTnD4>x<)7Y8^YDU53w_^<z!;7zL?FB=l
z?eK=5-)zp*_IFDv^$p7&dEQeiq&FSX`+g_WqRWGZJ=7W}i^$02+jDG7n6Wgn**u`v
zLobk+5BZW|Q=R_@G#N{NI2Y6_1h%SfnGbwD2o&sHz<r3UdZr7)n|s}z>KEpJ{Tjf4
zi5xSI(=T3nBM_D`Ew+?*s~NaG-^|O_Aa>ld5bqS9eKJd)aVFO)=@;#kl>-s(*tl{P
z@{Lpsn*lU+R#`-9FHjylzPz6K;W3jIu)`m;2>RSF6cp3LQdIi@U4XeLfHdDBe)ia&
zv7QAAcqM#J2|Y}OnTLl5e`U5#Qp@eLB%ZzF5+WK5igSCF{;T$CL?bBWLn6}g3qa-D
zbvlVn%0#%DEFy`7k&4*Y2r9HPj<BDJrGo|uE)VJ5<^B*5^fp;i6N!opQ=$WqVB+nM
z*R$+9Qq<Mf`0Xtn!5P6%OBEUCfj`;w#k)=84d!Cp`Je6s>Eu^A(0A%QvEaqs)Rb2S
z#eA}3BR+I8Vi;C0<uv@w?ifiezKHazQR!DjNe){Y?%bA@03ko{C$fwgoQ1&p6FP-E
z)3Rpc2WR{8j1axT$b!WLz&a6jLDt%sDdP<rp``H4>9kJJGMnSR5kJ9gLfK(|vlk#-
z<}@iMX$0su=hPl}fM!`+U>-^&wUDkpqoAKwzc1ct)l(OQwlS+*l;8=F3B2h@5icXi
zt)2pNR=~w&JrXHzau19{2XztFc|hQiX1P5?H1yX>qniBO&5Dn!G`zpoVmVdjGdB`F
zv2mx&jw=ocx@`3`x6Do+#3w*nWS(C<N0_0CzgtzsERF<y*1h_0Cpte9ZmAB|Oc3UA
zEdhtmA6jYOsZdvvC_MOw+#)N89?Vgp{BL}gZR-jE+zcy$A$FfL+F~JCiL_38;GRq2
z>(;QM4qFK}M$nVrT}lK4qf}Aa?^bH7P3RYo1l#(^YxUT#)tZ7298NQsE2EwHv%$pD
zEQKe~lzL!=va5{-Jd#!0Qt&$)NrR8UjnT{WiBb%oz5wV+5e?Qr1ms0dPEM5nw9_}w
zfZ4u3h6%8jW+>b33mxEe(GAL6%9`a?b3rbM1Ui=5>MNlA;0$nFeBFfhR~9Fmej9ND
zN~2lVu_YOncDxxe0)$cPCZ4oDOb^(CJz&c`qys-Tr@{h?5fpk4cxf8LqN?|Jc@I{D
zxKi-J*_zzZ!2}e(e+5<E-of^KOyhqx+JDS(PM~Hjz+=>9_T;r32z`ebfQ$=#8xl1|
z-JGWZ8fOjAU7G|2g5LlGPysM}O2%>cdKs9Qv-@LY3Iu2R(0~L8cAL2sfBI1>88nUc
z+&cMi_t=azl{iGt51?SPjr0n;*Jl(Or>LBX?l-oJdv~brG&`m6cm+J#MI@<EzWNq6
zPC49h`A=LcsihJ$$4RjSv$m5ejQZ47n1OvoUUi^?kz~hn13%q@wFjMuJ2r19!XZ5R
z^$Cc^kV3QXGuq@86p-+bn;q;0%fb3>>Sn^g6AU>O?3nO0x%coO5pGE-(wKV;D9(|4
zKyGObX_mNiUkM{Fg)Eqgg}~ZYiY%KqiO$Hp-YXO8fAIGZPZT;1sf8)Hi!)$+tJk9N
zGZf`v-12Uw!gZB4z}-6v+f!vg|Bo``fP!hTUU%C4sz4CA6anX92y+DLVQ~!vN^%M>
zFf2Lx^u%FuO#q@CoSu=OuLNz<_1wU15ai2I^WbK!$|C%Gf!&g#ZaD6lAEi^ED<EK$
zwCBA3dv(>TuQQCXxAcQgpa-{FT3Q?}dEA;kPpWkZs~;+<U<?*7bERJ?8<2Zg2*_IA
zv|$Z4q-#lA+M>zSZWfBY%1}fOSwJ*7c~H<k8-P+Co(V2qbO@|9fPE<?cD5HAn+5XQ
zSR>lnT0w#SI{!>jS)gAq0*`H7(b}z0uaOXw`OhJXBRj|?wfh)4aW?&~D)nIz3p{%)
zl*;dd0(?f{b^lmU6wytr7K=z%x7?&MP!5o!$9mN<xI;0(C=hcFQ;-i56+OnjJ_F}V
zp=XEcf&@7)jzZVJb<%8_f;V+wtcW@SSNP8T)%MfI&6(J?Deb7H3a}_1Q$U2k5x59h
zP=U)S`YdKcw;K#ERqT`x9|@vKEYzR>^Mu%kUbIdS{y#gkpwX7B8uxyX25BJ)2dizF
z_1|8S=`7VFMgYsVR5nd%f@gbT&H8R+0Ta~Wy<jY}c`YrW#TM>%nju$Su-0r5y;Bx1
z-pP0Hn~H%+aL%Si{GwZ&JlxFibreXpLp-~A@*eE-{L2MEjJPXCq@RNEP=aGJ+zcH#
z!+uUt#Gu<-U%%cg{jrubC{IJXZ2>w%uFT?FuiX3RntnTiGGFMzzZ9i-x62Xf6DWCz
zx%tqv;2a|nRLKO+LmsN&!dR7+&CDHkXul0#2V^g>v9VG6OGSnFFu3Oyn_yI)Ap<Y&
zA{jCIT0q92SbBPM9?Ld0ovMoJAQDo@X=_r$cNLj|n*Gpqpas)H2nJQHmSd4h^G@GE
zTm2cen501@7dQ8Un-`t`!<9kqg7x4l1q)@?Ih&kR6EJT><H1?}%tht-vi{FIp!WHQ
zyD0~5q0pJz(=LZd)pu#oz}^*M9HyB`x1ujQdej8dH^8N(xMTmdG}zWZ?50q?Xw3hR
zn{vB%9P6$tCT2lZJ2M?j%I-BMv)%m^Iq*Ga2Ni6BLP6w2C(zTDtk7W#yFW`1^f}QT
zOZ#}2o(NLC(o|KJvL8DS&X(zDYtvugm_g1(BzY6fKZV}@_;WK8iaa4X!`)4Y^3mo}
zEjiWsC*;pZTYIWKIBR}+wzkxA*A-Z9owy<CHo1q9I7=(I2Mw8TT8z1;QA5sO{h#lS
zWU$D{GWv923^OV!5JhNqh`F?k;UE^kV!0sj<sF=lL8eZ%6?J91R!Y-$oL2A#h9VPs
z%PI`sqO3i7kS|VvoOO)v1n|=-ajR8&!_ne!(jP!85j*>quu$c=2<BPUN^YiDm-w2v
z<=+1I<BVEYPuxn}6fy_Rb8XEmM}r>fjCbZzv2@t>lrU6m1n7|}226|D@rzqa`~4^G
ziKhbiJpu1UEkSzGWYaqF<BZ5BB}pYB{SzpjD$JviIom&o#DvK7Ck$lwY1vxB;tL2#
z84-+8WcG|B2Y$|Q==^v!g2JdK8<n{*q9ypcJnY!>G4b3og@m%Y?Wo@OPHIY2BR#qa
zOZ{?`W8DNeA0Q9I(FpBEJ`0wXTQsN48}13oHN2ZMroqy9v|3!e+v>Ka-(69lPV+Yr
zaAJ_J`ZaI;`d?u=sO92L4KN&&Bbxy0no)bOS^$diPiHz(xLRj`az-`^?zXXNsm^yI
z)ea2N$>ZNOnf)1X%}#{08}NshrA|l2+rrn$;EP@w7I&GbL3zN}0bB?C4?vx>m097K
zLC(GazW79>G9x<>Mgk%5_wV1!{-QKZ$OiX;T){VU2eo2#PI>-?3&@mEr4);jrWA;l
zj!ptua@Lc*pS(QtcwdC$xMwo~WUx*kWG~tf9ecsdwhl89oc##oF?EbgJF)rfqiz?x
z3qBjsL!Z)El74T1q$K!3w-Ll;1XMM2;yZ<TwiP6)7XawsW~sS8)d6x!MyaD5$5ypH
zq~0b|zfI7yOluFhbOCIkr`nPKuV`M%_(vkaA`$5>6nY0J7bt-8G#0FHF@zCa^M?Hl
z$?$>UjYT+?<bzl`B?d?&9!5sWl{r-rX0@RVOCl_^0TN=q?p0PIbnkZg62<L0CT|@K
zC4X9Wi1X=dz#yoe@;xyZ^Jg_hrI2UU7AbUZSVE$4VvFtF^sBkOz5G+{3u*v7L`V(G
zL1wi8W@5|TwCBAx*B8yo$_fD~KprSGRPhJh*0YB1O;Yx7x>psuH9NoEwv|95zPs<_
zz!k$=%}U|zi5~%p)@^8LDERvI>u<qqR~v5-adwgRG`oYqVK88D?d|=!JAB%Af_r{B
zsily`oi=Ynd6Dg`XNr4Bd(v7xLEsdG0^^RC0~9&N@IRJV$e<%!%%PPe1NIj)OMC5U
zuxm#NVnR|NV0hIq>6VT+aO9o1n<sy_Wxw;kSc;y$Ve!5(kveZqrg#_<iF^v0vUs7}
z{IFqu{>0g%V7?c?L=CJobzqEQ)^&i2rewfi!+C3S1K{2p0Cdv4`vlBLUA=uFjTD3g
z?3V?w>fcNTDS+E%l;N<|*u9c)|AG{#90U&oLF~Oj7O~2U#)Ug9gLDQYYA%Z0^mnvd
zSX!!>8VL8F1Ol>y=MUa0S-sv1CBM{!fYdSUr!W9yKMbzW*4Hgu;pDtBq~}NhI%!?1
zU9K18mvXH2X>Y%LT3sVY@)yLfzRU=KkWxEm_EzTdig=y+J)an!RZD^>8T$JUVJ9h|
zbd)9>wKgERi2%zk53sOnN1mskg70**NKv`D<5$@dg#uZnCZfU<wJ?7`LTjPTncOuK
zVbWFMx00jI3>Q@g0?qr~3J`N~A>mmrlrktFDk}p3@k*o;!cYRZ4*sAKl4WlzGVfvA
zz+AZlyveLP>#+SkATdug2WNnZX<6j;HwNj5@eqyp5AhCgI6nK6Y(-I$dfDFlZeoV7
zINX}Z7rg?i%^m#hPe}}hc4D`lYpG9M#xP`8H>H&6X5J&gS>FTYZQh(;vAGZay!(e)
z(af*HFeiQ`z37WfKW>XXoH%ye46!dc@`B%=_xSUv|3CXD`3wLM3u9Mp0EshR61ytP
z6mp@Gvj1!Acon!0A($a)n8ns$@0bYFQ?W7dC*ep2#4bD$2-A<;K)+ip&bS1_>zUM|
zR31(GbFSF15CUitJmFAd@eU94UFLsR^Q)XVu6dm^KG;HZHd;!buzS3Hr)eR7nYACM
zOD&-NU)5cARFm1Z&p4J*RAy|50x~1m5HJv`AczVC1Qd`Gni`N2ic$?l6bBikNf3|{
zPzfTC&_gFtk)V`-fh0o^P$`)N0wPUH$U7+E&VB3Nwch>Xy|rG};#*lC=gW7>-oI1!
zZ|{8`<=skj%xsGIM|m$BWo@JhE!TxiE*_gJ*Li~54rjuTr4ad|m}Rfz8J((E!Pmma
z<xq3=`*@`CH}yJN1E$s`_M=U<Lb@g-{T#xjb}8tvtR$wwnC99t!q39lN4j8SJ$*=M
z5r<o)DX0c@5#iatuADENY%!}Y$H8oL`C;EZq3j{(gML!QUWQv9-&v)pLmpr9!cN_+
z_FQ1Xl)ZT+DdSvPZ7Av93nQV8=(g1isf=?MBjs)R^W%$ak0s+V)4##9Q>H1j36dO#
zzRh?&?838m-(8&`x3?%H!7k0JKiHL`EtNQZ5&k1)S>L?O_ucK0)2l=)2&~Yv$4uST
zF$%}S6eU$$aY6pjepgu2^mk$DHKjf8v++22Ouvjf7AH8y`2*+VasK?{(zQy6=U%#X
zz&Kcs=7mv6_OG5^)JgVl+%mK-eaouN5K>X_3%ssXD%@UKJM@m<#<kmJWW@|BJQ$u6
z0g2NU+EfUh&eTD<eVBD_Kd(ARLDVx&oc)n{RA^u6Y|$LiB9VVRx`%yO)&$O?|0V4f
z_K$xqlQj~^AlhmSGM(e@8Mi%xu}VsZKnMj6w04&S9YxOM%8*0|8;XdABNRDA%q?lo
z63CMv+faJ($!-0&LgOTa>drO}E`dp=@Rya^V=e3y9(7$~h{^KtxV$|j4L*j!SKMot
z?s<wD8X0$WB*E;X>gkrOs7U<WevD)73$G6nt5jGBBre6_^+Yqw?;tV!UE71L*-8Eb
zzf~sZm-Syr7AY2Kzce~0qB0PiKl~Avx$C>AyWy@7#@Z=Gj-S4?CI{sv{7BvLuMzEt
zu)83gPlba6(T(}exm@|Jzr)}Eo5IJs{`%ezz)<<p?$oqz?n{voFR?!xYiF?Gb?c%_
zwyw3+H3xPx+>O!KzlTCkKYu>&%BN+lWo@u*&XZgJD3d?M93G=v`?OeP2%07i(C4!E
zmM6FUzHoKxck1E4H{|_CR=<B!cn!cHCF-CxUrx>WTN6~rYkf&GvF8tAMz4lUMUfGH
z4tqk+RV~xV4xXmRb%evJ+d7%;(6xtj)7YTMBW6=p`lBHEoTTViFRUCYeieN2@XFeU
zWkg30eX)G{qWAZ;7R&!tPgUjrxqGybDi~tk6RXIgdx;As<<xA5^HEY-Pkgk3eJ6h?
z{cZ1ePXW-`{{y4u-<oH+hBpw{Nj2bPGoz9r5!Vcx9)G)g%kMkZYOh@Lu~8>im)Y$(
zNJ2-_{(76#Wn@7}<!}%@PvpoStsO~i*2ng*RokR#-J;I;EfW3M!}MOG;WSfomvvo*
z3Wfc5=H4N9E-WXO%5w!?7UUzJi=@}yu@gGgrqaRbG*%qPBVO}kinrF`cFTRacZX9Z
zUsyoRHZl(ry!q3p>9n|a*>_U!idKBHDy|4winHgjw6w3w41VooBR$IPy5u{g!7ay4
z3xm7w2Qq|M47m(9jqT`0W!I6sT!~NaHa|1h4)8^2`V210Xjeu|QUUvU6@j~(;tSQR
zB=>&3bGUhCenP9^DVn<Be@}Z`)&T2zQHfgk&Ca%>f}S_TE0Lc*9ACp%n_sgEf?8R4
zFMDhuYvg2<f%S=B5RyVn2JHMY_hd)^m+1vl<VE!jj>jdC-+ie7FCymYrf+_iU>YB0
z=Z2docE*L5m3q|4C_nA(pMP=RSySZO&V8jXxgRMB_PMY=`?^HJ`IJM`(_g3C&i=e?
z(thuWu@8yk8}`XT$L5ZWe1Z^zODxrvZ{$6^W$`lf%+p|Ak87zq@Zro3{kU;hIa##p
zU8#-JG82iZ_uG&|gb7Fdg}F(-iN*%Sx@rrtq7G}Xz{Lgws}q)fELNgLhyq?+@h57Z
z6xH?qx(NXaWQ844Z#|hH=r0&glWL!iEvo!I_Jx}GU{jzL>w|N&HvGj^1-jCelcP3!
zB^cs6Fn#TB%W5RbLPm7A*Z6*bZ2$0jGy6JRZ>JqMJ<&7qL(l8=nQy9yH%flBT30D6
zas@8ck?UH^?bGSbd6QF+B|b;QPp~sj1>4P7(x=WR_v=W}>%Y7HLAv2)u12GET?Eq~
z*$-T##8+1}kP5kd-~E9hkOvoFLMf7d;<h#fdhb?jVk@89zdv1D*ltet2>9mk1_sHl
zHN55w2T7JQ2rGp?X@@}%et-#oRaYe+>GR-S@r-}%X%_T~rQu})`i81o;5Ep$RrI?o
zyHUY`?L9u~pHqo_WZP*irO6t52w|+f75BHdo?C;A9rrh`N(Mw`m*O{C38-S{9z8p8
zn<*(CiBFhJyk^xmj;$RGQ#OI)<JOwdxyO{MV2F_zTv9_i=Um0(PE^ESYZ*xNH{02T
zGG6P0ipZvT@9~1TYe=)G==*8ua-+rDPbt2wZg0hhmHzGB!gfFmj|dz6Z@V%Vf&JE#
zprT6iW}fD*+?{0z3)zAy_jyR+Sz+7QMcd~LoCCVhJ=-&UO`P9&zU6)$3r*Vjqt!j(
zd#PxqkCW>{?Nd9KsQ7lS51Fr*q`c1Rp2~kPf=$MZ@0Iz?oh~wS7<@A?^46acY15;C
z%1GOF!AaN?pSjLhwMg2mny2GICN%L^ok!`+clq;&4sYxh6*j)Upke-%V{YGH$wmjl
zu7RQ15%-@|<!{4!jLu!Z+DDh0#yIaz5*KIX3SP?_j`%Im78BGC60DxAO5yFHn&B>;
zVZ(6zF}^%1naH4c>Fc#0{~aS^P)k=g9okS?w&jdQ*=#kgLj~IKENAVp&12ye6i;%f
zaaFVkdfXX)_}ZTIwB6~KOWg&PYThS`9a5v~mxnvKeuB@LGBqaW39>?UkWQ39@)Dfh
zi}ikJ5Y!!Z`~2xrLMnb0dv*V=Dp#Xd;l3i(Zn?znv^5#Ovu-H@7h~xqcRl{Gur9MZ
zW|vZ8`5(%**&9cRt=(2d*41fde)+I_KQhGHNie=yG9+5;`4w>rIwmljMe(k>@;s9I
zbW2r3=W9H7O%u{x=Un@b^t|Mrt{k`#%LvLt9;6-3>OWU6Z9m3g*~#|p+wT_pFiT(p
zCl7qZ@4G9Mrt~9Ak8v5223I`K9x-6N)(O~*?*xs^<FSL9y#=q-L^ln;pa{(L)^)Bb
zrLJ-f+vQ}$`%4+`t8dpGI8{)i#CPbXs_5qzOmLMkn6P3Eg6ZlgLO!<$ANywnX%ec7
zO@G~~x^t)JKe-IH<TqR19C&-kdA+Vs{7Tm8ztm<xtrf)B{`aO>d`?d_&nhtPE5Wy7
zvm8ohaU=gd&ylW+9A~EXhu6d130s6hdA#+_w0$)+r_eDYE>1jrY!lbCPEyQ^%l#t;
zz0~6lFWYALiw&_8VL%y6c{g5gM?YMK6RvW&kS-LkPVbEr^V$#fb}n=a73!Nr*psrO
z=e$MD^(BXOPSDWwgq=miCw|$neCAi_-c<NWRwp(-?z(e@w+VvjIT{y-=FX=T<U`tB
zrk@e|YCoy;mHrZPKx0o^%3Tz3F(I6|P@4JU!Y9R37uoAmT|EA*a-zL#xtWAR67v8D
zCIT%6Nsj>+R>wYg6(P8oNuCe(dOxe&N@?#1HBde*kPQr}Mdj2o$8Bcjb8P91RCmpT
zIV#wA1|iz#^QoYxIO@ZkZQ7I2D6@w{n)>V+%Bi8k97U?!PlQT5FE&m?mH60Pqni;h
z32n|3gJ~ad8)e0wZ!-(=D8eU|yLgTBEL-BXr(;E@8#x=ixSR{Fn!y3lk!AEL3t7U1
zDas^je@2&bGrOCaY^A#Mz|>eYCRo#ch7cXDI#sh%)`b?&uy(K30rjXrRUF+fC_m*}
zCUcOpMEaUNDEe%Kc%d@bBsqIV)Cti!ruSHc0bDl5l9XLcl3Q3b=22$!_F#8~&gh;E
z*leDq=59%gV^Iq)yX#eFamjE4fy5cq%=>5zg8(nAD{tvoxC!rxE$lD)nmtqAY+NRX
z{ws9kbz|_S!fd-!pO0rJ@8V~}wlRt=k`j|EN_TGt#_N0k=-&B-xtjUiVG_-y;Fzzn
zu(0sipv=cECeszT*4kwm<mdnfX(fo%GK_{Tfb&@-pay-r4Gw=Rfz!vg+jP1MI6T4+
zs#}?7d%W1O?VIpRA6*AGqx;?li4tpvFvbeOA0x#~rGUA4UUQh9qEIu0;aON%beU<-
zbe9vTxrqw(pI^o7*|R6&aMsOF0|>0~LBOTr1#tW|Xa34bpy;?PA1eVgV?vK-<szWT
z;yDAsb-ndyU<73rPlPN@HfJj&8(ooa7EYL$Pr&Brq48ok)roY8ro6&3{sPGT`lCr!
zc1oC6z=Qs%JFck)2I{AoX_UL&xb_*n24)WYh3;Z13n<|~@)R=K7c>Jp92N4PQCv^<
zmRxCcB@lD0ox)~jL_uV5OZn#ejxZr!cg_l767o+_D69?yviV;EeR^(rxu3#M5p}ZK
z@45ErAH0!mcL}CX-^D@~3B+bQtijIruCcZQT$z3Ch{bKlHod|rHyDZsJg^i}Tm1-a
zIZhZtsA{FsFA#Nu6BFxn{h$+IY4Vs?dUl0uy7H0PCB%gPXqJAl;~FshZEU^)s48Yg
zTkym=&G@N&a56m;oO#*J&8=><c0z?RR>AO2-DMa|L!6Xa{}Kx#C5IpKAOljENztgI
zPb@kEhmv(T{&p{Nxd#!FfIAsBpi}V*#;T;M1AZXcGj{%w3^2E?961kd2{b;71vYXl
z7;+y1zXQ|%TmBhZ66H~}^iQOfG=}o<z_dnK1p_gPALMs-YJ$*fYPnsUUOZ9FXh9U?
zSjM<zLURRyR0YN9L6WR8YVOp}X5W``w=1EVn(4DzKJRa2K823V0?YrlwDZ@>q0ih1
z4LYf<eNa_ZD+`^*sd~|xqD7pk%H)bSLk}o66F*qb-0KH|S}%~;=qmX>#q5r`T=V=K
z%A*L}Ajf}!2MRWTKU=t(I1(Jh`75L@UdN2aDuW=sn#i_1nOwPS7uj4YNJW1z-;xW6
z4zbXQ(TNEipVk!l{WAP}#95|9GrDc6UXp+(GBig6bYM@Y*~Yo%26!S91OX0OAPs<n
zSkRmE`;l#7S?oS-5Gpf7K$jy25|llpl!{@S;e5<?D@ulpWZ_2}uv-8!@J$eOMQ&!z
zorA0GM{WcpFm2<?1}7Si@<?EDd{3&^Q+?nyG!I3#=@@R2bqO2D*6>>dCi82|08wM}
zz4ydGAU3UrYI)Gy_V#w{3Ca?@)JDP~cnqA)PlM3kS(OY&Y4@s$MJJ=H*o$B0>rbkw
z%{|944H1Xoplf-)W}go|p#rvOVJtMkFc=ifcB<7*ZQW*vYL?|cpI8)h-$$Sb<ymuQ
z4vw}B`wHG7Lddu?026uvAG7shbLupDU~ZuA%@T`9eUAR)@b}f7uHD{!`&bH`Yw#%0
zqz2<ESEV!^dcITQawiA?z$9b*_9FXj#ieXmLl_)z9g|G-f4(E+OgA(_`m0U%z`%`W
zNf8EXAU~A<5cg)&D8`(f2C@wmk9Pa+QX{~kWV+Kj*bd0HTkxpR0fAn(24F3aYwe}t
zidKiF+7wCPUv*jPHO|PwSSqAW;J5mK_^_ns7w3r~SXwLl*VUQ*v3zyWVqx;fY`Lqv
zw}4rs=w2)n;O}3bN9o#dsnQm%M5)L7m>=0?x<K+-apS0IAq^BP)hK}e*56POf;9$l
zep>Ow1Eq|9iS;j&<g{<>;AUd6;4JhUtvScnzO8F6%!0@1I|TG$2JbG=XK1LaS6`xy
z${gL==%e2R>=k4gaEL#oPPH|A#{|Ms1cXHhN31)E6?IC>`pMOBP?NEu9Tx4M$~OBP
z*t_@5@jj4IuNqD}2Of<lv+nLknii)4Z<)8{S#1`txGUj(Y*BOY+Lctr<CijZehJuz
zymcCbCnm;K?)K0p5FI;$--~V|l;`9idq1gTP01Hzr+bri2I!BMSPj&2;etrs8qFeF
zV`8BLF)_-NPy_G_{Q1y+2Oc_fAl#4^o(KbOP;=wJQ;?`h?}P$^d#^=)cLOHg78ULb
z2&V&1yh#F4$4dOvb--5O<n|_6xvFOHOK>8uPSm4S*k*dz<f&~dqTDfXb1+T}#5zsj
zhJZcDW=Hth)0UyMsrv9qEg!~Iy${>BCZQjcDfS6it$th)hzPWM=4c!=x8?dMpa&H6
zuZ-`-Rgk}(l986yQ=$$qxKwdmi6Wshi0Y8jNCnyeXiLS3{;;i$6X-0l;4HCPfG4=c
z*5NN308J*T_(P{Yt;3pf;Eyea=GYqhaU(d{ozMp;P&c#`6pX+Sr=@W&<*JRSQztf@
z{``DUy$QHspn(Oe3VQ7<ZRYgP5-r2N<Q+lF*XS$b9w5+Xa%#twV+N&vVl*|`qMXR;
zfZIxCoFoSpD+^bHoxYSuUE9Esm+}EIR|3{SV$<o8k>pI2v$M0CxA(X$Jayyg>$ZoI
z;3g&}xp7cycyI{7J0?)x0}i|!AYO>i1OI58;vy+L-159R7jVBM8LTkMqmUJ_4JNWp
z^#EuuOt+TCLe*?h1AzHMMjY8S0&*$60ux3bl}gQi0COSmacs1Yy9<HXUqu`r_)D{x
zw7{K!2bcO5sTnlI#>Hu1Zh1_G?7f$l?Mbi(A^BW)33X}s)d^V4U`<WUn^Xt+OA4v&
zUoI-Hc>7+9O?v<X;8+A~yaN`IdcQu(%sdXLB?4=O)F49yn1C(=2L~Sn=f=Qfd{8D^
zo$7#*YIRnsdffyd8ASh1Fk*oPfVWj!YjXiy56fUtn@XW0X&^RkIm1qV*Oqb+h+}>s
z?YTtyMHGQqE;SdHGb*uvzepUEd>qbTiJp@W`P_L%G|rG~vox+w<pdOsCOg$J#Uod@
z7j7EJwiwq?9)1Uts2&Ic_Y?C<844s%Zn)T%$nq>|FL0-h!7LkMUY%GfPnPh%d|BE8
zfJ%~oTR`9F)A$h0JL|hS=zb#QkyE07E3iG<@nkPdZkBmWmHufD^{b{-&<+%jd8|?H
z%Y5j7EgVK-ASQZi-_NyIKLZxd7z`kh(?GY8sl&c(V;TsjrwO_ZPuzfP<D~L|#oUbk
z-vq^#WO52?I!9>&GY`@A^(C+1<KSDRA?pbI%HCVb3e>&Iw&LTTwTijLj=)|X2(0yR
zxHvPQcqJ%Fw8tdRkqwes<jD*m7S%`-Vpe|r%0O?7{T}XGR08SP1N?7jX={fq(|D_h
zI-oX~Zd68^5X_y}8e|y!4zXCxM$dl!*l3184RF<|vH+|Jucfe=nOb~jRKpk4oMw)t
z1Nr-|^RYNEbo&8CJ_@%*@l@dn=bCDYLh^}Llt%_zBK1nr!DPTdgmBf0Eb=YK0K*V_
z3vCXRE@juezvHRwiDSt|;XVYOD#d;!u(?Zy7LYlx09=TSjEti^stV4szHj7p;{=%4
z&U8$@YSGX!Kfb4VPZelTa+vAE*5M0zQny2!w9E9F2o!dvb|T}3i5SSfqIHDRcd-``
z83Xqsonz<q4zAQXwS_(9u)43)Jy}9|M6O^gM-XS*F^7J;i*GPpkpT1VSr2=rw$!~R
z#}=DUrB&g6Rh8U5i0)4ZaZm$L1h5DRlu*Aet)!r5$3!z7f+SOR)nz?rqs5GZ5ttD+
zyQ8q|_cM0Pqi~=JAP|DM8fD0zJA5-SLi$gCeUib`7B^=Ckzw1sNczb1myLz~2nftC
zX@e`1L-ABa6Z#L?6(+;Vsn!WfXuVQs!f)xZz(dd-u456+pQ1|%TI7mD9cj@m%O^j5
z0w`Ogv{X5<=&Ie2(ZLRp;pY%5Gl4F~d5i~V1%-mR*sk4^N#?E(rGI+Wbi>EThn}}5
z=|bM1`hjE_6z{ra{BEZ8a_HkSE1vB>TNELHF?GvrTBUv1w=s*|@N>YJa=gGP4k~Ju
zb<4{Tph4dB7xW)OwGs)L8xPZ?IbbTmG<hetH$g(fH^x-{m(L-ji32g3l$C`{$COmZ
zu<xcI5NU9^%?rdodx8_SBmvra^cN+y_t(!<;RLqx3py#@pi~b~lDiC65=hM=AE|dm
z^;u@cXl-J9hD^7uDExW3&GF?1oR1-^1n?2E9cvrP4oz;7eS0HwPPKrc&#>)Se3BSo
zgds8v5kS3);xz?efpkhbzj5zWy#7$?L(Np`nd9H1{6SdyHTEQpWFr$BRI^{r`wuFB
zVk8(E!hy*yia-o9S_nOqG|#K%J21miadLQ~QC^ph97oyJdoE1Sq17>3#aO0+=)My(
zS`$_Sb7Vz0m>5%Qi|ig$=+icV<@NOuQWl#~$~g5K=Qrf}M@G5Nv^rvphw+CH=3IQ<
z`fm3)=t%<6Nu=@m)tfif)qr)s3b3+Xf^4k{KQ(?<lyQlJ9!!4bbjHKWA3IZjV4p2p
z{62U^KOhoI5r%G(Mr+9c$!(Es`+?)%A|EvGcg>uUCx5D3vU<F_hySxk4f0swQP2;M
zYgR7j02MA1uy3~SM*@1yZJaL6S~l#}9G{%zJUA-}lK)628}%K|mvNUKKiU9zs}0bt
zjdMn|r)e%2J!D%Ip12qxUF`?>mV!$EY%nJo$3e{q72A<*fYn=n*gZgD7~QWA@3=&&
z)toU`y7Xn6?9rsR(}4Flk7Iz<TwhI%h8eJy7Io!s<mX^Wz|9d0($zE<@|;kF_5y(E
zU;zp+-B0S)*N-UR<Cc#ZjKn;PgC;Rp<o9JRt$lzt*sPcH#aItph>c3=ayt6Th-FiJ
zcOB%aaH0Ke$0a;b`llV&^WX+&9=_`34=)P;6e++f)Aia`SP$URY0m>2Hi*@8$8G(G
zNBt!rh7m-JDah<P;s9aq02jBSK+t^<Im^}^+Y$^}R>fx_kk+gH8*YP~hu~CNx3_S3
zbH6Ul4-?pZR19KxKNaEcxbp0=Z_iq_*L~CF|J%!L7k>C#%M@!@wR4=6H^a}Fo-NY5
G9PwXDVf~5#

diff --git a/articles/convergence_efficiency.html b/articles/convergence_efficiency.html
index 2189f7f0..b90cb858 100644
--- a/articles/convergence_efficiency.html
+++ b/articles/convergence_efficiency.html
@@ -26,7 +26,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -165,25 +165,25 @@ <h3 id="convergence">Convergence<a class="anchor" aria-label="anchor" href="#con
 <div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="../reference/blavInspect.html">blavInspect</a></span><span class="op">(</span><span class="va">fit</span>, <span class="st">"rhat"</span><span class="op">)</span></span></code></pre></div>
 <pre><code><span><span class="co">##   ind60=~x1   ind60=~x2   ind60=~x3           a           b           c </span></span>
-<span><span class="co">##   1.0038580   1.0050116   1.0029365   1.0007207   0.9999798   0.9996668 </span></span>
+<span><span class="co">##   1.0014006   1.0011580   1.0005769   1.0005295   0.9997677   0.9995399 </span></span>
 <span><span class="co">##           d           a           b           c           d dem60~ind60 </span></span>
-<span><span class="co">##   0.9998789   1.0007207   0.9999798   0.9996668   0.9998789   0.9999574 </span></span>
+<span><span class="co">##   0.9994064   1.0005295   0.9997677   0.9995399   0.9994064   0.9994274 </span></span>
 <span><span class="co">## dem65~ind60 dem65~dem60      y1~~y5      y2~~y4      y2~~y6      y3~~y7 </span></span>
-<span><span class="co">##   0.9999265   0.9997547   0.9996561   0.9996701   1.0003716   1.0007611 </span></span>
+<span><span class="co">##   0.9995484   1.0001454   1.0005090   0.9998853   0.9999716   1.0006563 </span></span>
 <span><span class="co">##      y4~~y8      y6~~y8      x1~~x1      x2~~x2      x3~~x3      y1~~y1 </span></span>
-<span><span class="co">##   1.0008513   1.0006355   0.9995685   1.0003373   0.9991198   1.0006442 </span></span>
+<span><span class="co">##   1.0021945   1.0000278   1.0024287   1.0035860   0.9999500   1.0010157 </span></span>
 <span><span class="co">##      y2~~y2      y3~~y3      y4~~y4      y5~~y5      y6~~y6      y7~~y7 </span></span>
-<span><span class="co">##   0.9994047   1.0008251   1.0000629   1.0005872   1.0001243   0.9999353 </span></span>
+<span><span class="co">##   1.0004586   0.9994443   0.9995825   1.0013283   0.9994064   0.9992459 </span></span>
 <span><span class="co">##      y8~~y8        x1~1        x2~1        x3~1        y1~1        y2~1 </span></span>
-<span><span class="co">##   1.0015554   1.0057950   1.0064286   1.0070192   1.0019918   0.9998743 </span></span>
+<span><span class="co">##   1.0009228   1.0010233   1.0011289   0.9996224   1.0006705   1.0008619 </span></span>
 <span><span class="co">##        y3~1        y4~1        y5~1        y6~1        y7~1        y8~1 </span></span>
-<span><span class="co">##   1.0014471   1.0020098   1.0023198   1.0028363   1.0027588   1.0034479</span></span></code></pre>
+<span><span class="co">##   1.0012345   1.0011861   1.0006404   1.0008963   1.0011839   1.0007343</span></span></code></pre>
 <p>With large models it can be cumbersome to look over all of these
 entries. We can instead find the largest <span class="math inline">\(\hat{R}\)</span> to see if they are all less than
 <span class="math inline">\(1.05\)</span></p>
 <div class="sourceCode" id="cb4"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">max</a></span><span class="op">(</span><span class="fu"><a href="../reference/blavInspect.html">blavInspect</a></span><span class="op">(</span><span class="va">fit</span>, <span class="st">"psrf"</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
-<pre><code><span><span class="co">## [1] 1.007019</span></span></code></pre>
+<pre><code><span><span class="co">## [1] 1.003586</span></span></code></pre>
 <p>If all <span class="math inline">\(\hat{R} &lt; 1.05\)</span> then we
 can establish that the MCMC chains have converged to a stable solution.
 If the model has not converged, you might increase the number of
@@ -224,19 +224,19 @@ <h3 id="efficiency">Efficiency<a class="anchor" aria-label="anchor" href="#effic
 <div class="sourceCode" id="cb8"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="../reference/blavInspect.html">blavInspect</a></span><span class="op">(</span><span class="va">fit</span>, <span class="st">"neff"</span><span class="op">)</span></span></code></pre></div>
 <pre><code><span><span class="co">##   ind60=~x1   ind60=~x2   ind60=~x3           a           b           c </span></span>
-<span><span class="co">##    1732.846    1684.525    2029.599    2022.013    2088.001    2343.846 </span></span>
+<span><span class="co">##    1620.738    1659.473    1850.058    2092.912    2499.271    2394.020 </span></span>
 <span><span class="co">##           d           a           b           c           d dem60~ind60 </span></span>
-<span><span class="co">##    1824.235    2022.013    2088.001    2343.846    1824.235    2430.655 </span></span>
+<span><span class="co">##    2189.776    2092.912    2499.271    2394.020    2189.776    2769.447 </span></span>
 <span><span class="co">## dem65~ind60 dem65~dem60      y1~~y5      y2~~y4      y2~~y6      y3~~y7 </span></span>
-<span><span class="co">##    3129.315    3172.419    2499.230    2132.873    2826.225    2024.139 </span></span>
+<span><span class="co">##    3056.842    2833.856    2146.119    2839.084    3282.651    2715.383 </span></span>
 <span><span class="co">##      y4~~y8      y6~~y8      x1~~x1      x2~~x2      x3~~x3      y1~~y1 </span></span>
-<span><span class="co">##    2131.339    1711.606    2514.839    2028.523    2837.712    2401.707 </span></span>
+<span><span class="co">##    2422.466    1926.518    2376.021    1768.429    2965.694    2224.669 </span></span>
 <span><span class="co">##      y2~~y2      y3~~y3      y4~~y4      y5~~y5      y6~~y6      y7~~y7 </span></span>
-<span><span class="co">##    3504.485    2408.789    2074.405    2017.526    2480.885    2066.115 </span></span>
+<span><span class="co">##    3209.671    3145.758    2481.298    2185.735    2762.963    2634.575 </span></span>
 <span><span class="co">##      y8~~y8        x1~1        x2~1        x3~1        y1~1        y2~1 </span></span>
-<span><span class="co">##    1772.881    1084.681    1008.963    1037.107    1307.964    1543.916 </span></span>
+<span><span class="co">##    1883.409    1297.194    1282.805    1386.785    1476.912    1801.187 </span></span>
 <span><span class="co">##        y3~1        y4~1        y5~1        y6~1        y7~1        y8~1 </span></span>
-<span><span class="co">##    1440.280    1266.660    1126.238    1159.955    1096.600    1012.904</span></span></code></pre>
+<span><span class="co">##    1791.466    1425.021    1395.915    1571.654    1363.895    1327.086</span></span></code></pre>
 <p>ESS is a sample size, so it should be at least 100 (optimally, much
 more than 100) times the number of chains in order to be reliable and to
 indicate that estimates of the posterior quantiles are reliable. In this
@@ -246,7 +246,7 @@ <h3 id="efficiency">Efficiency<a class="anchor" aria-label="anchor" href="#effic
 function:</p>
 <div class="sourceCode" id="cb10"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">min</a></span><span class="op">(</span><span class="fu"><a href="../reference/blavInspect.html">blavInspect</a></span><span class="op">(</span><span class="va">fit</span>, <span class="st">"neff"</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
-<pre><code><span><span class="co">## [1] 1008.963</span></span></code></pre>
+<pre><code><span><span class="co">## [1] 1282.805</span></span></code></pre>
 </div>
 <div class="section level3 unnumbered">
 <h3 class="unnumbered" id="references">References<a class="anchor" aria-label="anchor" href="#references"></a>
diff --git a/articles/convergence_loop.html b/articles/convergence_loop.html
index 3ae656f4..bd319f0c 100644
--- a/articles/convergence_loop.html
+++ b/articles/convergence_loop.html
@@ -26,7 +26,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -158,7 +158,7 @@ <h3 id="convergence-loop">Convergence loop<a class="anchor" aria-label="anchor"
 you will see how far is the model from converging.</p>
 <div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste0</a></span><span class="op">(</span><span class="st">"Rhat="</span>,<span class="va">rhat</span><span class="op">)</span><span class="op">)</span>  </span></code></pre></div>
-<pre><code><span><span class="co">## [1] "Rhat=1.00278759516961"</span></span></code></pre>
+<pre><code><span><span class="co">## [1] "Rhat=1.00113277130501"</span></span></code></pre>
 <p>Note that we are only increasing the number burnin iterations, and
 keeping the number of saved samples the same (1000 in this case). If you
 want you can increase or decrease the number of saved iterations
diff --git a/articles/convergence_loop_files/figure-html/unnamed-chunk-4-1.png b/articles/convergence_loop_files/figure-html/unnamed-chunk-4-1.png
index 737c9b5fc1f3e96e47c2aa2cbb85be379cc48783..db7d953e3d14513c8798d9fd2d8c2c208d612927 100644
GIT binary patch
literal 263917
zcmeFYWmHt*+c&z01_cCE1SCZ1M!J<jM7lc!=^VNlL=ljXZV&{4p=;<;x{-G1?x8#0
z?el-0b>0u}I_Jwd-_Bl(HH*FWzURKL_+7s%CR9a9mXLsw0000&xwlX?0KoPH0L=Gz
zIN%*aj8P--1IJWe77BiX*M)RL0QiCL^j6me0I0wG`-4QS9+(3F9UupNrQw;jGwbC`
zHC`uqJLK}_FeZNIU`mSM89R$UA;WvZ)z{tGSnmdMUGIH>RLuP1NJPdV_vYqMyQmn#
zcbmU*?f<;C!&Td`&$=nEYWlR~Bu$>s9?Bsan$FiiZk;ht8)G+3xf^3Hnt8VU=o{Zl
z%Sd+XjO3T=Vz_kl|Nr&>rUXQ?<g(bLT<P=k^Pg-BDamIh(jHyi)R5=AhC*Fmn;Fp4
zX9s?Qg@!PTX1vyhD|wotPQ3vanGZ(l>gs-3Y;nX95fN9AhY+|uss(VW4B0<R%&w@Y
zn5I7@1I#|QEhPJ#?o6w0h>(nY>!^kDu(Gngqwew|hW9}X80kkf$8jED?GtPI%~cc`
z^9cytQotWqRY3V35?)NT*Tyv;9v;FXmksVOIFr<2wYmakz*CGeLukg<&dxR3@9Ol#
zUWh6CS@*+w3|G^_{QNQqJGM#*!kFFF?=n<<gW&$-M~@z@BJJ;#p#Fp=^Z=L8Aw1+T
z1Qt3Y6gi5ufDITwiq2#2tM5ji5re1x!O@2xjV_2>z8*pD7K5*v-7_?%r_@tw{kNI+
z9JyE}^>HndX?l7=#8zHkZ?DqH)y;1aQPDia)|uwXSEJIJY2>cYzn6L?1@_fm@e2rC
zLav{-J|nsC&f1p7{C&JR`qd6~o3<<zfnWvBXX&#2+iIb5{nj=%dM&n-C75_8V}yHi
zO;`3U^DPfrUjm#O<9EeHMaPekDNw#RZUI#cdw|oy!NK2rd!pD7sH(0$adL4vitS7~
z`#gD3`cLxMMbAl2Fp0drzgBOVziWG~{ShYt6PJh`+ldxVm6Doj+t=5(Uf|r$Msjkm
zlOb%K1ANLZ&D<uuZU~k(jqui!m+y-J1dc6NL#*DK*=2i5te;&))p1za*<HulqrO1G
zvGyJDW<y?NKMNE047H;3E+{Ott(ZrbLR=_FNk)M0h?ciijX!=Yr{}v(tA~Yz91g<L
z)?<q*r~v57*!5&^2tnw-7h4amZUR_bsY60S=&$_){xsGv#(`D`^{TNP%JBH+>p+UR
zpa7_7p3X5)E={${CzsiwB=(R}P>J!evE$ut7Zg(aIo~s>D%y*iTXUp6t&G*5q7ZTa
zmb(u%&fp=t3bu9u2dI_13NgG!^F#(1qBOf59vd5btlN^Eojn6fqxRcERuvR%c15p`
z<|%WDI4!hBLr>6Gr;N%OzDRT3O6sl)a+10SS-S5~KqCS{_4Vsl!M&NfO7X!{=@fg^
zIIxGlsz)?W&CK|^d8X51oI7P|W`LHovk8SxZ=BU)<&dX7NhJ6oX{N5KIx?1@hwpPm
zI`S<sw)UZsL{drelf;;fp;`?st<zV)W4LsJxgSF%CE18cTLw;Cxw^7=bx~nqA2EQq
z3|w1VGw#r@X>7dCLwHBeqa|_uf@e_3CW6*8pz8eQwxSu85Fc;ILO%rYWPNhq-*+fO
zya5o3WmHTt(Vbv=&^sPBI5?<UTwMI+%E1xk4rH|=r_g72+)6idTH~X@^_O|{-A|MV
z(taLTkORJGoUAP^EzP6B!<t>6A3P5W3-bm1u@-7W3}!&-M|lR^Lm>lj79NvaSgWg#
z${K2sppc?V_L;1jHzwIbFN}M8dnI1bM}6Mr&a11tm>lV2V`c3WiLBIzN{oz+RdL4i
z{<FhE8)^V6sBQGOM^R{q_hxA=)`x!*yEK+CjqQ_YW~a}Dl>J7ZDPun9ZeD}(C9Se@
zLV}i43TT%}xx3BOX_jNmQOJm4#h{_EZZaT2MsSC0WVrolV_bP~aInQEvg)th>&wN0
z?mJVeh|BjR7wj`f1tJH?bYAm!p&{2e@Xf8QdN)v1q5u|TBSYNh^z!Cb8L_1tqrvZR
zL4rteO~*6qcN-WO82W@3v$eI|eh+#}?Xu7$#*<tGmtv+w6Z81t(!Ryj&=d7<^B$lp
zE&~}D0LjH_9E-YAm>xR_Ca*Q`K#^57KR9`womD8gMEWfj#FMe1L+aFC&`LwQ^MF>^
zQ`)Iod1$w_0S3+pzq(`xgUN%gp9WpIpxlq_P(;C0TON>FX(%EkB?SRK>1t{chSNKd
z2<gXha`5uH;HwcW&&|!PLD*<pTU#5}fA(;9&%peS2b}Jr)<s0~5faSw2YWkfdS+&3
z%b7EetE#H5pNYwD)`G~;kMY3q=kA9w^x2s#+Pe@mF>lSAC-6c@NQl_3&|qw!)PmsE
z>8>cLqcjRR{{uk=g2=41u(glRRWSntLj>@~-QE3`w6z)-L++vg0|#9#VIeO{l2utF
zP)iG@WXq&6oeXp><vl+T%Fo7*c7qcV5_T!#UO}bFm(_HLz=zJw)RmUiz^w^<TKZOQ
z?^A@B!&_*vN6oDZ4Svzn)AP?<yJF0K6)f(_!Up;`15ga2j7LL}sm94Yp!sM*-!WJG
zQ|FV>S<Fu4Zh)J9UT*Gcz>R-PEg^p|0|=!os+?~=eRN#;v@3p5B#*R1HJ5?Mq(#(I
zNIild0G$O}vd|U$(n+7%qN1HHq`k4g`(K|(02N)`&1(BAb`+8pr)>PmOID+ct24CZ
z3;KJ%l}lOJ*!00@$O6#tbk2-TP1Q=yqoYHV6fPp=TU$dF!{rOQ80Z|!<v_e=fy)Ck
zduLa+yv#u%!Q7p>MmUO~qIdaYm(Q;BQ&UrEiEx4}F_{HB#T-$m929Xf&>%c2PZoV5
z_}2b%1L(tiV&3mTH8TK=7&_^4i(t^b!~M>3eGEe(jjQah{(@%m=l*tTJd66zxVZRu
zzi#BNBGO)P3OV~8<!-q`3x5Zwj4#TCvA%d^6@v*WYh6AF2ZPtoqM{<a)@gcYF8IVg
z^(}d$5&As}SzT9GN7iZ#VOJe5Rmc$YQqNB3<L4J=q9=w(o!@bVb(?|Tue^S?OEQAb
zSqj5{qEj9UV>zkCS`ibV0A(f3tei81K9fv&MFHhI=HVo4uEn|^X!{d%uf`vU=$>&J
z(cP-iH<tR0B!mWb3%Nz{adBdgy><>fB_1>>Xi8!({L>lR?<MLk7$;Q7;}KjQBDO6w
zSPq7_^?$fBbM}J87^D(|yE{8}giOB!NThP-(OlqxWTFEAqs^%L5AvEVJ7-sUU}UH_
zY;dOrzU$XG>>h#v$JWN?GGQK_nS&tzqKr33;CL#ic@t)?y9zovvE6KaHQTiRJ9+s#
zLMgLzYiyv#=pGa*9KQ~p;M+eI;BSE8{5UnIsK|~Vt}nBa^7H4<fq$mVgx8tdMxF@I
zf(@()4G#S#E?(}6x^mX!Bq0>*Z<E*cSx@&M`ir~~g6o4!0r1C=Vp7f!gS3hPljiFF
zV91pKCY4k8Hu=o@Ip`~%O4Wt*V{rFX6q$fp4*;d_M^3Tk_K4&MWq>*g`9(PL$P!=x
znitQm?)vP-HQk^UO4#veiua)EE-K{&JU|yUezk$M6R5Dg4|<0iXcISYp)`1tn-V}~
zf0Y=0w#JGmC*&duv{N2u(nR=7J0l7yiMyZ#ObYPx-*Bd0J{TDmd<cS-kidzH0Y<Qj
zUGF--It&I=r+d)5@IJf%YhP!HBgCrAl-Q^j->hHo7qK$v5<bf3)g1s4DEBmj^PTC+
z^>i?Dm4c{BpqY-ba1RiH=pZibQAl!zLW@Rhga~^N^6uks4}r!>SHYx+S&;jiDJzh9
zS$<O1Fd}GionPsR<>LI19<tFsObf&B77^g#d?bY|F8~!l@%neM<<-sY9ZdH&YoGfA
z8~F)CcGmlE?F@8BQ)Ba>UDB7cWKJr`Mn1)VLsMu2<LrHr9SBkn7A8t6Dq}7#t^iq0
zWz2mRfELS15?%`6G0q5Kf@VMnAo3KF4`;!Ei39uqW-wbh?hKiL(va|Q^)v{#@W?In
zgUyOV^|FvX{zP9#he5yqUaEF{eEi&gc)8^M)s4p#@`e;HAI_r>GL{bXS;OGIJT&g!
z4Rs>C3WP(ozz<ZZcBoT`PAS3#)YS68t-}KwAv*dkf!1ZxZ{~Je|I96VD$d%V!v0DI
za0KIfZfNhBchmCoD486Iym+Q;NbZ71p;fm^7fb>dpg#-*UE>M}cYV74W%{9>swz((
za(A$|_ub^Z+;mZoTe8;Qi+LsUmYTCPw|CPHeM}&tFnmV1uD6p$<HIIMfRZaA5`IC!
z05Z78RM~qrh)|n}69mo)ECXU{!@VRUp>$lJ^d<gDUrC_6ps~@H5w2&}-}sM~thXSc
zeC_wAK>vRMK44BaTAPEQ0R*4PrAG4n6h)UT3xyj(rJsO+X35^?jgh5m`i$NfqCz!@
z9nawin*J(&f-wM+oHEpFGlduB*RMY*v3i%YZ;$q{su&ntQyn+f#5-)qB_<jZ(oKK+
zOZL$om56yR*afp_IhoL>2FgIb*o3%j+h?trLN=8-@xRC>dqo3EQpV2IfHmCC6r`<|
z1zUHxK;*JrSO!TmT9V{K?ym7UJ*6FvjR8i*KQGwqYvUhH0>#L1@K`B@&pJEg+VXre
zXpv?X$_FhEOmzNPUVb11$9+B&!DBq2IgO~F2D#EFe6ly6jAP_Lo(0125l{lz*8oYt
zmJq50cNoJY+a6{7wVzJZ`cKXx(mp^*^A4V&t8CbGG$@KI^8o^cbf<&29d@S5f53;!
zQowZQ0#T2>7@I;ieSWYki{VMo>c_#s;Rxlrr)*NjbL}eaX^Kyu-PmnufWiB3*Ed{!
zQy-r31uA{efmNhMLZKz#fe0K^HNlg=Q!Xh<hJI+WN6mxT9kXn$Umi$%t3cglnCk{$
zs^lQ%K?d%zzMlSIM2cs_Wn#FM7u@J5s3R(=N)S(FKT_z~qa?znzGju|-wlEA8h}e@
zZf<TF+TB7IS9^y6kdf4Pd*ik`%B<umDk=uNt187OV+?0zWv!Rhbc8rDzGmVY5{f+9
z{TJ|&_AU4(Hm=kl)mNQ&2AL0=#)$)P4@e_g!28F~t@|n_aDv*Hpes$PtBt#7S3@QL
zos*uQB%RrYQ&3ARQdNQPf!J`({z-}RDbQxZEo1?*H(79(*jcf^x(`D*HBUafD7)QL
zRv{y4iU@Mb;MMdi2SIV``k%T94j&}KpSCl0=H5nso#OMmJkACQP>#5I!#w(oPT7k;
z)N2176G$=9DPTk^H!ysusi6@E?&>RG09oKA5vIx-YQ$=l08W4{FjkTg5)uyFoZ^In
zDa`-JS1>P&D>nEYhYD*0sUGP(Yn*^KCLUtzWoHsD$V-j;JBZc>(?tg=icm5ikO(DA
zFt7H|oPBy9hjzNcT;7cHR2odJz-uh=zZWtG?;B+f)l5H8XQMA9rj-yY$;tUp5i*9@
zx_9p}yJvoVy-1<X#?eKymF~nm#DM5KqN2iiW%2iyE=n^8@@RcAnjr`9{TG7h|2})Z
z;OPPbefG1y^`jd>FgkuvvbWzYy<*oVGN}&nEkPnr<&)zi18%RA=?_T(+}7^;`g*gG
zzIAZl(-lP)fYa0U<Gc*-t@Qpme3JjVqDB9+qBWRwjRG?S-|N6dlAHVF-@WsPtJDW`
z4T7BAj`8Y2bm}kS%w1INJwRFV#`PYYdeN=4?*r|BjtmVg3rq|N34YO6u}387`w)I=
z*bH0lR08+`6%CE!a&`}Lg)#+*6!eM9e>BOw?pZDeg-S;Q=PKt1efSeTG+^o~jXxo`
za<G3_n#pggB{%=sWvxFMSl|P=JIBmxiT_iS$*!Gh-FCo$JAS^4U~@7I31L>$)YSX|
zgo8Q3^dm=c5-&19qq+it=zZrQ>E`BEigB(DbiIjus$1!__$!vg#vq~2WnJmWQ)~#Z
z(i|@Y*^0a6p;7kC7Zrng);?!Y($4QWU&E|rve^DrXtK>POB;BATk&g0jlga2j<tyU
zj?URYofMrD_nbGqGu_r^h{CC+wsuWcPEI>c*(5B@P$F~a;KDZ&1OeRr*K`l^ry9ME
zj*{bMyXZeH{qb>Dc}zm0isY1L=De}}?{7H*D=eTa>lo>uKaT>1FS1;mhv<4971XxC
z4Zx^^mXkrX&YYf}W<t(wxu1x+obN9>qER)<Zz3q&A`!QLmJc)rG9?2RLF2tkD=Gp>
z94)5K29o{B{m7YeGh8AXg@&;ID2wkC2)3ZIo_4|7D_&EO|3#t97<F98@UULY-mvSG
zE$C_b5lG3)$@Ro9hN9?^17KN@KB}uy8G2g<itxzB#>PllBLlIAQ#Na_3+5=F+f2&%
zW<^N<%b-SvJ8_KY=_#F|D=K57OIX|Sh~U2g5j<UgW+M=97<I4gGCK`{)&vfHq6^<<
zM~vEeSQ;%xt&nP9Y4hb4CjR3V$ifca_S^sLRr;yRK3MViwtV7!CMzD9Dlh&3FYRIV
z+@kAgxk=kcUSJv03QLph)K`XP5KA_8uOAW0TmFwx_WUzSW@QKC%8RNFTifOaJHOfU
z*ORNzO6$>|K>!gZ9FallDBf2w2mmBr_RF0SZLX)!=w~B-(?l_;n$GNn&R_(#?z^7y
zd>cdC-1H;Uebyh>(||i0Ye5Lul|3#+9iM;;bF#UDcGyi#<rx}s*iKg~1CJ7Y<ySWB
zCJZSExqb?0oW#_!6&T@z!BLFHG2N5BZ_A<9?J1K3*P;Yro9yW9kd(^ZVDrnY^NKJp
z#IV~luq1fP?;S7_k$or!F=GDTR+r)CI1UgmZsiw#7TWFcn^+Qu&H|&_yf48E(kR)u
z_hU05V9slO7qUOJe@fn=57wL5eiPqmX=^7sWXwZev4=DNS2ZY~TZ5-$*o}@pyZun0
z=PziTg94pnK+>P-Y2k}x%Z%wv*B@A*^Sx}VC@O@m=m9UmAR+}_DMeh`0#Re*<GbCj
z#zRA#6+B-S1E4+3?O*sR1D<yuvF}-oPfSRVH#LI!;d6i;FfIj4S8i-(AiTtK^j*@D
zSfe*KYB@y`K!*{P$V3|flED5dcmVO+VQFGF8OMNGw@E_W{m}i<sP+Bb|9}(;q+6PJ
zPPfv+%U5E4J)Fl85W<8DqIe4th&MiB8BO#RB&`rIxAZeNU(E+CKN@f#iDrW|R)QwN
zW!}I=pFK00H1}gn5>#g~;9rPHC1=-hGIw*U#_uZljJU*uXC{CN(gR1Iz6y!^CiMs{
z@20ubD^76lSI^+p2)&V+nd|VOby4iBxnH~<do$J@9UWYdCpZf)L4+AvTU9*8jGm$y
zmTp6)U#;8CH+k4(ZNK_23yzCOJ6%WzeV2m%@F5TtGE<D0SFBg1gsv?9{rguL(n_W*
zM&fl*3`)Ro^v|EeNQA_~(Z#JEs4;g=8TxE7%9seVpf=E5L=c6Ar9P|i+G~*Wm5E~g
zn((K>ym$+OfW`Ru_zeW!iIRALcRjOwFa!B64fWrw2%8um=P<5yS`3O@o*^=+1ouw{
ze@>6mtY&<2pVRYlGmq-<;Fj41<$+G8bV|#^jD(z1G5kZ>>{sl0gpKrvOe7bBS<+vc
z1$@u<)x&v&?H34fg63g9H(6h3whk|Rjd99|T7v-pU@Y<-DD(yj!3(xRceQ2L*Z+m6
zkl!YPyGHWS^HDNnfkhQTU?$an7YBDdi(Ea3pkdg}DVJ4#V*J(sE5Q4F@bf&UtJ{A?
zIje;}Ys^xfwQKO5S%BMdt}!jX0SqQVZ|52;e9rI85TMpS*F2+VeSuAvZMVRXJvP&f
zbf?4;EL^ex!2iMhKXV-UF%<9lmslKoyvx7rI=G5Sk}><~`a%TX-s6uUuIrcLp8F=>
zRZi&W!<GQJ^SNL;-EGBktK11;@!gf4^!Ar~hKX&xR!+mpz4^V3%V4Am&8KjF?qy|i
z;QF+gr1gsK@b~M<&sJrW$K)g=2$7f9`^rNSS34sgwSsYSE<2H7_M&HgwpWo&vEWKM
z2n733ZehvqqSfaFhL3vRoqy2z(qEpyOv2M93Nd)msti6v*0vip7H&}gb1e|1<tQQ?
zyKDTnsiCSlYxgK%x=GNQGDf56@bq>B<z8JqAz0<luWi1D+HN?@)Se$cy;#?95vhm>
zvC3D0;S5AHXkUNnoD{4onMM9MDSAEr{@+Ff^YuRel_W_|3hoUp0%|#~g;t-2kQ@6R
z<T^Ad5Iq%gIs`+#(@J-=!FUu7hO8i>I~;H#f(w5xQKJ88eMq2r6QK3wWP1T9Wn*|~
zv+#(5kEsKyt9tNys)uQ*I(Q;V%54c-oza(#c2z#l-%ut&-_${d83_Tl=BGV=diP_K
zr}6HQhazd$?q3m06-JotVRQ46yRlY$JbK9cxHS(lllhhRXaJVx4Lm`WwUD$v$1Wiv
zS^efV9agv0{U|VzwvjgN$Lgnr-L31#@F>IrBS3cLb9W+o*2F|tanf&Sp9(p@^tlU)
z7ol8uM5gK<3@xqjI$ATtHDQGlf{x0SQ=h&p)S^93et9dpnG@^pzLspcR{BfMPNmui
zHGR2)4EF0I&<cI_me2QqEv7Q#-39%y?dz!H%U=_pDsq6<r;U75a$#iHVM0MaYr;-{
ze{KdONunK_55v4;OVi~p7-#YeEzk5!dgh@g>!rI6evV7KC&&BJk&hvC!xgV5pJ^60
zpSi+Vx5v?Te)F~sdbA&uc}3m}AI4#19u69~!LkZ@lL#vw60QP3+o#t%2Jh)(Nd~yu
zZ*ke4_wuDebt#Vt8wKY)m!W3;WPlMD3(LjZl+*w%P07(SV=xeVfG%^WIvbZZKIL79
z=b+Mk`BBr9F5e(w^xo22nz7s3{Gk+joefqMC94g|Mp{KC98if7Z+Fwvy{ugaw1#<w
zMUCF7#N;|Gl(U4HeN+2koyB3;u-UmhS8~c=YZL2%_263TA=}U0xw}CBe994c?o!;t
zdLrn<%;zSUT&f8;ZehV7O2=bi1g-;BdI@f;oe@-`qtpIiE5$gf(uxx9Q&D0PJQn@S
zpL2aybcS;7*6qio)g-NUi(Uw;Czqjr`H!_B5toje!M?(lgde61*O`ri`<(iBE1O$M
z6vXp&3$VA0%kli(+k4O2@Nc5Xh*THH1$PRyx(mqDL~fBQww7-m2K@{?o4)j*F>o3Y
z?$LhQ{&4Gs9;eCc2&-&QldHL=`6LP05`1tZ_Zt@gKwF3xvNVu9Tj9Ny=^;3QC14Bg
za-fySKCwsyH@D5u(|-US$$v8-#Q0r|?OAW{_uV#8%fYmz=;yK$#NXR1ijD;B{~iy$
zo-7y^d#UZ$mQr_!JDp$_TyrN1kB{u0c&fq10D_!>Pgi~Y-WYzQULhbwSC^K<@TYst
zlS|(#di~F%mt-aB*j+r1Ec;V2C)IZ`su22}HqnPxXZVa%p4Py(p?hT;k6HqBnoqw6
zZ8T=HJrEPU(8Ej(VQeJjWjv56AzPnvMQtfEap|fb6@qFS?EC2-q+0g-sO0rzV2HEw
z1DabyO@1o}sG0@Np_L+fwQ#T|+~LeM#lK;YhJB1%22&M@Gw@lb3ItZQ(#b1&_z1l-
zgvvwu;iWL}mB&(3OZq-GFN>_^yPkC0%ruOS%2#f;BS$t%UnlO%G^4kK&W$y_SctDS
z6nXf6?*{v0qQe{VbY5yTwG5AUv*Bl&@Zxf%(_!&453yBLn{`FTTn10jHX&W+#~u3Q
z<wqrP9{Px%_eEkdnHx8pFRf}Jp)?;CZXR4KOPop4VW)-rTyPkwUwzKCwVhn85Rtn-
z_2z!IMpJX;$<8jSnmLts&i80w30xCBfp%zm(Pm?q<fU9NF0`4?@3M+h^XPGDNwPQU
zEQ9my+(eecKOi)Av}!;~o|@zAmyf{qjR2L7D(JRuVo7aBzmAt>j2lg*MUgLsbk6fo
zvJYW6*>;5W_jodg1dG6i8-wPFyQ`~#hQ7W}?XX*z?ZhETlIHB)=Hp1(!9%*t#Ln?r
zjMj%W?^fPxN4LngG)YF^cPV8hB`TyQV8`EqZ<LB9vbQu2yY>7~A)0&0luy4!Y!ut@
zwA3$@C|hpA`3XKzO0+!0R{`puSg3VkKK?(m0KAEYKKSAIG~E?R?dU(SC{@;wnGNwp
zN)h&`*aPgJVg5>49#Ti?316%OtgQ0qXWg5gdp_r`a8nmpeac2t`J}aLaUtqpg2WTU
zXwy>=ZVG7nC2|=zz5n#2(b}uw)Iy!ynVfsg9`|wwnQl)J^}W%|aF&ABZ$A`PSEMbG
z^vUuG3r&lrKjX)0xrvJhSTDJ4N2Gdaxu%c5t-r8^PE%<RHiB8$bKqK66BF!Myv*=B
zo&MoB2_`|fU_v6;0E}<juZibseG%T-wDNntYtP?@(;dk(oqjHVH+S;zt)0rd@<10<
z$pjU0_pgt6Z^P@mm4yhEuAZIBZ)D$b9h1V+GJK2MSPl(ipE+Bm2L~?&=;?Oc?)scX
zhSb<`D^?`Pzu^%XIn2(kQIo*&#JI49do0$M-q?TP-02dz&zuf%d_$h}4}H(-6i&#S
zhmAAe_pZMrxG?gQ-p)JHrO2+r9>)b#l4CW6S>+txxY;bF3Pv784k3u*`ndrWx*scN
zUz?9s<UrF`{h(XiGeO<WLa8yjcm2|;<XKU2VMY}t6LnjW427Z<Gt)0Tt!yzWZo)<v
zF!SC4>6~NRN9@x6f0^|BDwz2{nVy@w4MWh}$HGW-oT)wVOv`ReFn@F_#SEbW9tu65
zMhJWGHGK7eUDn{1hJ_Mh#54wabVX7#AUxH^uO&JR@d4(`Qja2wzd__FM?lTS$ojj-
zrL)I<xwbZsSL*GY$=yEco|}=XPLVje^UyoZ_zKVQ#<#uf(c`p^F{q)5>N<JyV3s*)
z#6NcCftDg~Pl`~<JocuwnUc<JB(><ft$CZ|B&+l`#_9Pn#qnUm37Dg{&&tKA%OFKa
z*EK0nmo^D!wq?B$Dz9SPb0yio58v*BESwnnD0#>yN3*Z{Ab9P4IVjhX)4tviON{rl
zBu=~U^->t(eb33aJ^!}bD9tx~5^xC@V(+`;hHoMWK<@q$zW3BZBGWMm(TuaeM*;(D
zAMZ1V$V-_WB{c+D<WD~PCbWS0TiKVreQFm&oxjnu*vMn_aeOv&<aAaDBbB5NvyKSs
zfd0c-Vb9UOtdA-m$1gZVw@rNU_G5elEuvtP_(^X**hlOyzIv$fvCe_C>M!vu>$g-5
zCo+QR1<!-S*hN^dF989NHMdXc59O1Jd#tP55dv*;Y!Bq8YuSzOYt&L5A^v{Yw?Nxs
zJUQRs=x)7Wi1Z(=>q;-Nm!F)tUjOaEas5H!G<D~--l9Jl?^egBt}SVc6%==wv6s)C
z9C^CLsR^T->rpS;)`^1E)hAflW}`>Mo&L&6ivSJfB+1V8PxF3{L2<7gq`@xN-?ieq
zGm?CNhIE&#=r3P=6b*!KBJeAC&NQD>I)~>orCa>YEzE3eC8-?DcUk|<=HSawoL<22
zcKFrsCa>wCP#5f`WMUO?x@B3OT(M`;_4czw<wkCO9o$FGV<tTU+dx=1KA}@z$u>xn
z9x5AaEPt+P%d=^q)0Ns36DgZ3I<&x7&049#MT6O)#g%WfQs&U4b-35dLvOIrKG(es
z+OZS$DLEdNKhXjQfRb5B9O=`je%flS>UPR_E~v7y%efrG&wsZlG&s^>YqM5YqLN~W
zW<Pd0c7I)0<}Lqc8xL4up~zS(d12r_IG;Jrv-Dk4<6$f>mI`JxE&hIWRdC_TGnpWg
z9;;e~5?z|gzK?n3SJ*t5?oTu)=m#3oK1ASrTh>B{4uiS4Q<JIQ@rDb7M@cao`pP>y
z?m0cCOALSEln)s^>UGs=b?{AMUi4okhNYZ4Dq<XS5`fvsc+F=}B%`Ci<E*d8w44w~
zz;9&h^FCfmpF%?6r3G!qKaA0MuD6N6*QZ@x!tu@tMFqm>Q}pE2=FZhZxtXzEeaTv|
zD{@n4Yxl%s#(%K+`j&{7h8oIOmj82d`fbETJRT=3+>3YC?~&J2xv~9~^7_N82DPGK
zQ#YftXa?B_DOie5n$Nb&J?#fR%TG+$=~w)8fAeg6aqZO2?PX#K>bO7VOMqsyDuiXt
zDihYD>p8Evj(PQyxOv&HjP1vhjVGM~*><a-hQK+7ll$;+i&wK?A@ccB&dY!Grc@K+
zTAGh{Sb*6+KA_yeE;$kJjAqy5N4eKHXmvIEw#C7W!x~dk!+v&3$(wrQryM^Q9Ng!-
zS_)R<OKRj}uJ=dtdt;>jma)bX#b0auQEt=uGKkpgWkRMsg^SXDE^fg1O$vhDCx2}g
zx6`$`{9rBhrJWNwc3f=H2wZK(zftrJyRQBb)?cTaY}rhzs~@NmhbW^V8_DBIfO{2`
zV>{nr=MSeM2t|ozy(1n$+MROs*`nuWN(%P#zoPy}=>aXmMwfX-59@LwZ5+{0we(Ut
zSw_v->|L#KZyW15#ue4x3NFkA)vOQ2{;|3j6_0v9fk;}?;vs=j+J32H-&-x=PwjG*
zE1UadlW>@*hUGNF6rec0l0f2hLlWXXA4*#<_;$1X`%;8&s_}GPX+K*9fngvzL(<K;
zF?28tBK4X@R&D7(hneMc>AZaK)2I^`rUiU1TVV(pJaP53HK46vnO5FIUy&O#>8*oz
zchU=%h+qDYh5I26INUVA#{?3#ae|~G%c@Z0DiJOgtmj4Vi6;b+#bPa{24;uF+1BsW
zUDEv4da`gG1v~uNq$iotHwOWdU!=4jY*6xlS85#F&PZUT=z9WF`t~XVdclkJYf44c
zUZsvb%~zuOoZ{?P@l?)r-GpGZ(&yf%BsZoSZ8zQ@+;-biUvrtlTt76LqbN_)P7^`P
zKbd`DP;u(V@x?nnk2D_5mcGDtaen_3VI%CJSED1|N@7y^^-j0#*U9mjU7-ql4cmhN
z3!@6KShrlBfD=wM%Jyak@B5g~v6DhGAHJY71=r6mPG><CpZ)sKj9vw7{x9#o-WfNa
zuJV_Y<=re7{}df%e$9@nn7|;%lo)EkAe!maa`DjbAX$xFt?PIa4-rQd6O^FTYe(KA
zeRA65BRht6Xt)*DoV<KWqno1F*y7qzAmt{|l3bO_&DSw!Ruj<DX;gt+s{x&)nd`=e
zB=>FA)zspnqkBMR@Z^=%M~)c(^@0BQvs1A`0l`^M3WP&FhGm+O010V$LsQq*BtGZS
z63C#FFy<dD<b5uY7r>gmxNe9le<NN%%f^5A1Jki#ZRs=KmP3tiM^BpbAvEo@WU8%s
zF1c{d)}rK`FB@Yd&aZs(f&9dz|2%9ZYO<M2jN5ysJn&@J?IXo_7rq6On&jjOAGv9e
z!e3k_TZ`>JFjlA<xEs&B>C=I6&ioD9JYI<4_>t+d|BJ&7&e)Q#F><xc8FYdSJo;5Q
zFfdZN6)c&!(K-5%bTZFO%dNDf33?Xv?)iDxngsq-sK|vXZ{I}eng6jg`ZwV{i`M6V
z#N)J0B(MPb^E39aDBsCHl=KR5%0^N0qz&0pGgMMa+-upBCpv5Cbz8p%0`l*yRxWG_
z?YFl*s@#Z6XOM-vNRTiaJE&08b<uBLu{${5+3k8*FKBj&kBM+b+_zW@8*-N{FnBzk
zl)`T0L(1vVa-qSYN&%>e(sH-?+bqP#ogO7p<0?@u!y3HOe$fDLV>$y{VMi~8>doz>
zx5WV!vBtv5OPO@pm<(h6#F9&RZpCOyU8(UA%waY~?|GfhITrj3a)}bt4plN~Qs>*K
z%eoV_Y$%<Tzov?46|B$fw>~0bBcvwi-GSw0-j;;PX&bxIbcR!qRHmDGtMTb1mYl!M
z_PehU_@e{U!atoo*Mmb()BL@+n}@XRuadtMQ_Vi;u|#(?XM~ubYNAKNI3<~FjAEnr
z!1($yf^9IuYc}v!j?Va`-#|k2P;b3z4(7f2S5feFIR?O}OiAW_;ECL%z{N2K6M!PZ
z(4aQ>XkIjz3>q77{O+f>mD*lc#`dlWw{$gMUfOhtMzVBw#%J-asdD{V<19K{h;x(h
z#b+bwFnqbmO?GGfy!9JR`yqQe7W?g!X<OHf#**Q00}QsddwTUqi!<7}eJ(G1kHV{A
zOE>4aRyLOV*5W)7w8Q{Y1P#P$Z0rCbE?sTOnVIr_F&dp>Ien>EZs`ogUf2xTH7{HW
zMYY-{k9lhdWzT=hrx?MmzyGGeB^R+p44HAAC_xsE7C9RoH-)QwpY<EKFEd|eFGA@u
zl0Imn9q5~NB?miTDR9WsT1u~?5%JgS|62LL&pO41cy8k?vF0A%XP>BPE63&wi*lYe
z%o>B2%NGi#(Wc(03*bBbWIczNkzU;EXP43YH0Zb04zv0eJU%L$ELUna=Z~WsbJ(7R
zF~+#pw;ogOMas_ll1BIT7Mv*xyOFLLc&NrSbt{9U4DqK({}qQ(!)68{SMy=k>&fSd
z*<WIH7#~OmIFIHC7O56f>qdq+o!CgDgdtsx!ZQ@7YAe-?47xL;3RxuTn)R~Z!-a<%
zn%+E9Znt}|!R+~aV~L+%)5XI06MZSJVAEai5T~wwWp(}E)uXrEVeQa70R>o<9O8#s
zh|)vpRnGZV=PBb)+2Lv=&qs!zk?(EesL|3>;XTIYC{)(Zemm1B6L5uUj;5wB4Zgx#
zUxBkaEL*+!JR|q91*m;7!kTd9w3rcdrbzxGJ%x`@v4aMnj?P<xVpBU><{Wqo#L1cQ
zczcfgc5-^qD#x?>1b<D;BQEGY=69~wc7!jK1d;xv8^>=wMn7!|hw{FOk{P66Pbz+8
z;)>JZ(IVK@HVzmK{VajjJt#Bv*~bx0mzp7DH~VOl@NQ^w`sQu6lLEnF-fC+!-y6ir
zJ7!w<Qtiu<=t7)1d98Fa3O~HT@;$y+)Ll^>*YDHrS5iDKAlmNF_8zInFf@bznd3@8
zx+(uAzb_(_Zy-RaPb-p?|CC>x@JdPJZeDwCPVzE)w2N^@fI8-vmu&<8)(e1}zPx-K
zY_*~1r72-*OMLJsF<)*k7Rsx11${<cM$s^Jkyn~l@{7t8!D7jRj&p9ENezGjAzeOV
z=!qFkQE{;!59-&yM&$pgfr>vApk_6~VZMlVc_+y2od^AzC@N5I`D3~D$xBKg?5i2o
z#z%;Jc9(KUQuAgg4yR_cTlKsHnv!>V$~4kmNo8r!Dl1F{w;&n!>j7_MUdkT#BN{hO
z6%xSv)k^h7punAiV6`kOVT`I^UsM!}+#JkqrR*bhNpUip!+ipyM{U79v7HOE=!}mf
zzvbtNfrd^)Aqu!;#a_k9c2k>M^<C><#UV-ONy3^F4ta(t@v{8Od&b|kUc9RCUvKuQ
z*|oVUo%GmE_TFQOog3VwdQO=$6(mUehN!R1O;DU3_AzlaXC`P$e<!AACRB2zvU2R2
zeY~Rb8H>TiI|3%S7M=Sq;Rw#FGRZD+Pti*-P>4JV-QpK?hn`_q`~1kFCuX6n;=9l*
zaA{&o^(};WH0i8_itvn@ocXBjj{8_^1b3YIPHLQ5>fop<QH+utp*RGzW-?MH6*9e(
zr4n;hs$zT12kQx2<Quw7CEAb2;%4~v_1*;B|E^7RZpKLtPuYah<2$1`z<NMCNY%EL
zeBxYV_+c0Ax0{=L#t%Uo(NaCoj?t8(?y44zom{>?dUTg{(1TQ#{)00Y8S|%VDX-dR
zNpWOo`35HbQfu&6u7}djiD@mBdzY$X=>QRq?2D+Vm~|srFelRit7P13CsMNS*7F%V
zO8VoH|241tB<3y56pBNNB*0EXZA?r|54~C;g6m&1GOK^E@-^7@AqTrhqTo=whNhNQ
zq!{>^j#>XMz4O<u<>}p{i-eUuYIF8WL26+mhReO&NvFv|%O8R7u6NCx_Yq)<9$P5j
zpio!>767Vzly4gq6(?+&LeF>#|Bg;i^NVPtW6gio?UQ|Ih@>}q?mIa5#VlNY?<&K_
z>o8i2j<tAh|9Q%Fr5i=^IPJgs&C_p8?D6T*lW(H-D7Y!VnaCbr1}?0OzKMUVT;3IK
zgaw>5ph^Pl*PHiL4VA`pSHQekF8A4W3qZG#^eDOIUUruGFjmQ{+)D8y93we#mPU~!
zf48JJ#71W#?Zk})>4}=tnwpO-W@ihvBkE_P9>vDWbz+pv_GD9*F+E;C6*Li}0ct(B
zdTJL8SGg%49g9Y}quG*nW()MU!gt;(2p0Eq=&Jh!Ea%({>YJEMkDmyx#5v`W{n5-t
zuwv?IGvqN~<?tnd%$#|Fx8m8tX1EW%pPDsH_xR}C&uSs*;h$D&G3T9GIqfata$!o+
z+c#((ZI8~F>eS{6-;>~}m58RWQ1J;I5mTlwp&qoOSY%N)Dut8lleV);>b_H>{u@q>
zt0ezbEU77;bFJ7m-&E~`UjF)Aa&j^TJ%Iph2wX?wxst)OT-Vn_ITkRVv_zcI)Etdx
zO^jwPwv)$3NSk1SjLNYii&E@Gm-xjFS#SHXGp{`c$EQe<FL%Ij*H!ae)|@FFABFmo
z?-UCkt4b$0;}w8qQWC-r0?p09(U2rK><crqG&GzY0*X||bN}_0EqPgdZm%z1LVO=*
z(X35^eadD{L&IIMyX&Jsuy8&Z)Mk?NYIPCp7<Bx!-c;WD+nQ<>q(K?z6L*T08>>ux
zmkX7%Oq0?^^Wv&X4D;X;eVVsCWaTncKWYW*BUiiITNZ0|dKBd%C<oEGxks_4L!rIq
z=;XR<Z{;tIq^>J>jfthsUwM)R_B*d39JsQi#UFBS#6$OVmi*Z#^QmYJGopK<I@-?H
zostiY>aQ_u*LsbY4;u`kNWiX?<ll-tN&jI%i-d&Z8PO*WVW$4DuO-cRv`Jo^TU034
zg$-~{-0(wk=%v0=fZ6LUm&p)=n&QPwGd06ZE9T`MeF<h><^I?=VZpT?S)&_msPV;=
zQb8^cNAZ{124?(91Ul4#n6*oL8#tJWA}`Qw+c{2;%_u^5+o*0%!P=(1RNOKRki@h5
z&;WM&FkeV~mHh0wIQ@fojq_M5wIT_BvLW&!4BCPLM2dJU{L#$wu_(FboNF*O_)u=S
z*2|^$Qu`9tgP0RHHnjLit&*1ikg&D<Y24JTw7v#!%KjJT$s#GcuwZRtdxTV)8Dcc=
zm3I2vknsU6rSW{(5YwBPHQcYN!)ffQrfPg|mr_Mu2?gM++!7UT1UC1jZA_R(*!!|`
zhS^^XdIAM{Ftrb^w37{7_lt#^%EcJg;N~9^5%Nl?=%4Fa+F@=QO#YaToHDDPr(@`u
zvy97NzvjytJw^vq9a{Q?&|bOeVl8!()>6Gz$m40mG3oZBQF^iqSDNkFpc=G`cFN@^
zq`a0S>{QnOuz!E9;SF<o{5^E|BXnSxEvM3f`=ecO)T|w)>3UpbXpbV@5m*x{|1j_q
z1y&Ez7m>WV4*$1<HubAt-{xpvR)XCso^{^;Ytlx(=Gs6_4xJ+BBVw(P|F`Vf-bo}P
z<<ju#aZ&w6{a#C^c|TOq>5l2iXprDm+6kxt{g>K%H5MiH;^~(bW}90~Tsjp$*SbJF
zV4%iUoq<(A)Z`tqK5{|eft6w?k+s)1`W$3G*4<eSbw*{Q!qNrW2~JlQs0D9xI0%Hv
zfTyza%W8I)BuM9JZqP2%Gvu}X`h2Dl6w&yKn4BIr*~ag311D3;5A!TKdnYf~@FG!1
ze>a71jXdW*vHdGeZivs%sca>eFUgl|<2I}~2A~9;^`-SS-@t~O2wEWAC<48xPTf^A
zvaU$6QPlb|<E7)M?!$nOFwKZ$xQO>2Wx%xLpE|Ad61;1Mh?CIZqQKcHUL9<4KkxmY
zJng+YEVwU11$*?kPiPtw^ob|2#62r{igL~a_Kd}7N0rj=7qUGOZ+Nu>5gVb<8G0i}
zeEljh!v+_H%JXbotexgztRZaF$`q5M9EZ<68gETqQQo0Di!FLp)etCHoMiwOJtE|9
zckiFk%W#a(v+l$CVjN|SCRK)_dHbB#PXC(x8VvO756$?%A!nu>RzIYonN2wrO3-cp
z;kUlyp7*rNW*ApPai&wq3&7EG{VRNI&if{ucT#oMMT@XIm5PVjliIbmltTAe8kZr%
z`zS4*MVz^OYS$;x=G&7#XuZn1hA*MZe^foDFYDFEHU!Bgf5UFX5=sgqC>+w+iL-v?
z!a7jaGJlWN)A5uPKaSxO6gyhoSltW;G_&RYTB^G);c3t#N}Ikh_`pV2z3*+L8Qle>
z`&3!=laEj+O#K$ob31X#IMd32y+5|akWxSk-ZmEwwK&Y3kpI^4Lj}BEXU**pC#+|X
zG4kC<Y_8{?%#rHUU-sNHDH05eLOQzX?p#8!u`6edZ~<6R_HT<M>bdi$K<n`qeSfXb
zyJK%6Z(62*eHemh+SlHUN;&;H32q+ei$9z$?h881OyPgW0l@isiG+?4(sX%NAmqy6
z(ald~qg~h{`EqC4hVJV()sG|}J2q+0I~Zcbr$qHP>}*OfwA-tkVqFUCpI+Ou%Sz&#
z-2Wccj*^%hOOlk{ANjuQTaB(T-xdsS_8VB+%ZSftjlM4-8!9(t>zvdekdZX@%4jI#
zyLr>&WY7AF!|;t|%QH*T%{Ebo6({z~$+HtX2Ze>L!ojXhG%Kb^l!dRMWxS^)L`X*S
zZWeZIuB>_xfB}z|>Yo?bZJzx|{B^<CpxM&Zl_@nNW0I#nfc*EDL@}0cGGJ+BPa`^s
zsvm%xnu!GWL_Mru)H%?Zbg8Q<h$Ot>Y7%~%-4N*p@~7L}B9onn_hj)Ow_1~`N=ITN
z1?WXc?(cLawDsDaI4q=RWcKVVtu63}2G5*u{5GFZ<S(yLbXhp1Ds9ItX~L7d>r97l
zQoLZ;B4uQ#PHu=LNpyX*OKnItBz&|o9P6r#HQ3-$>$Zvb(v(>2jBfigH+@wZx!0yY
zMs^sJAyH795$9-ozMd3rdCzTlwl!(t6MZnl8eyN%os<6K=Gq9Xv8m+Q>Y@2NC)L3y
zVFW9f@t*BYQtD}&SNN4?ZT@7MPhpN+`|h3EKr2iHHZG<1Ys2jx00?Kv2Pq1b%~{o(
zG1g395>JHRoY{B853ewe<|Sl)sJl;a@N~?m3F}MZW1obg!kfj4lNQ#mx)iN{-1t4_
znoBqr%Wk8tSCSXO61(qmUyJwqH~*l@P+Kj&V_V?j@tujZjrhWg+p@d4!jl|Xy~dKY
z-VR&A+0pH6p_w4T`U1L*P3}l_t$BvFo7sp)PFZKSG(Ef$WgSRg)2lbnYJRHS&7qD%
znO<sVtZwdzaH-X4lpaScw@VI@umk&MZx@PPx5)<xydC%$k=iWq!wkd4W_XvEz&I}z
z6LsU+?0Q-~^Cf>x>chMYv4gcxGUborUIz0rM8ge<f0k@Hf33jG0$Of%Z<<V(jH!qt
z3PH!ryqvXP91^S!e%ST)1Mf80|4pJdYd>zPbBwULNoNS8ZVDE$ML#6O`L$SD_Y9zK
zDkS4ikR%4^_r%L%Lvq$?{U?fadDdzE_wh&-f6fjX(TAjhvUU$44xu%6^U=?1Fr~`7
z6u$b;CgqQ4R3=32gY8Y-oad2d6vA%5p7bZVzuOQp$&QTr=$~wyOUwm48JTj$Zd+n}
z-d2M)xN3(28_Y!1RAlaq>DBo|9<LezlYhloum~p>Fqtx7Hr7saT1>$fu$ElDwGG6q
z2^*d?<$X;oD)uw)`J1AM@BFrb=1M_D2?GB^>iBDWSiiIu{ISP~_&fz?<3f04UYZDr
zw$Xt@IG1n_;%`}-bDyNK;Z2(5=HHZDd74|z&$ex^Mz^2j4a-P163J|yEJWmKKVLIH
zJ5i8gD=$}~J6H#Y1@AqS0N^%DE+J#NsHsxGBzq83zVSe|a;D`n^vaYV1Y|=F6g*aH
zIS&Y5*ewhM(KAh5z4+dq>5N(Gimj$R^1yP#Ts7^hq@aVi=OgbLRQ)uipa?=ef^6&L
zAK4|baedX_8`C>1b7rK_G~s034ZyRr_X)2{RIRazUluJds~9c`!Mw{tHcxa@H)yz3
zBL<Wzh<ZsIUf=9Z$Uh9cDMdS6y%KTTW2wvw6y%L#%Pl75*qLo&J5`j+H0$r45{nC&
zBomi8iLgh8%sg*ByFIti{~4S089Hk>d|!>v4mIxm8);Y^1wEu>t!j|{P8mBYw->@|
zUSEHI*dx0=Bh&ke`z1O2X0D+8%+6G6PsVV4XDee?WM{@DFZ|1vz0z<)GrImCVL`G^
zP`Vk(AJe>xbe+j-^=tk*=uKfXL{sDTxU^W8owa&{)nDzqWmjWplKb|Uv&g$KynCwG
zMs)KIqRw{CW2{+VNcx(Vy&QRVlh}B*BR`b#k<&G;t~l$&CrX>Eb3bM-?;gPm^aVv8
zZmGVJ*7yrS`KugM8N3D2i}q3D%klISSOUXRu}^UpzdLiD)ymP(UYh!1?W~j&3F?9O
zMc1-#vbq0`{K36bohD_L7rrk=>J!ygst|ny88lw@J@tyTe)g8j#()8)Y|V>&QQoG|
zLWG*3p*?q@$f9r_@Q31xlM54WGF&HO(_!RzI>E+Od$Ux))D?H;t&ZwJ^iQUO0}cpP
zyu8Z?(S`>TWYK~UDNQzThEQ#<76SYqMuqp%B>v6%(L}9N0L2JzH$}yPJ%xFB&iwX_
zJP+)T&m(;r{*sp#G(58i!ivq2*~Y^%@S!H~rnD(0vW+D$Dzm8adjPPLeZwZt4Emav
z5nhm|u$4N<-gNAfIPXTuX*5So{^!P!%c~aY(;igs@ri;6z(rx^VTzN9c3v%eT5z_^
zZ9Rd_^cz(3CRx+`_@7w-gc1Z$c|`~>tZ%=7_6NIYJ))9#V4+yM$-!uH0DnXKubM95
zO+T<KlP)2}24SBOKloTnxbHweS*>&o9VM7<_CSa1HV{Wvhx-ua$7E+jSuB3x^0Ri;
zFW(k^wcH-$!My(fBSR7*HJ{qTy5U164<@d>yaM&qVuPRJ4qEb5Ba(hcDRBcP13IwE
z+%Dqu(~=%$4h|dx2Vbjf5~NZhF#F@1GcPz6y1L%;*|I~Nc<1rSDJEbdV-DHg3W-%C
zXuXw|eay%zSZTBgZKqYD$+tnr0?M#0anFccIm@QVovz|ngaAeXIIt(tGgND7CH8VJ
zW9c7z<nhvhgna7!>8>jy`FZJMl70G0gg<U1jWVU%Oz=3+T8GXc_2%ZSF6_uS9Bazc
zfzDrdW#lujM+~;5?(8N{Wqcr#zylE7%y)^|phvEL7Y41zLr(E{edRRy<U)yB`9020
zK4C+xGqkO1f#B}-WZPhVEb)Lt48NvWK^SVt%BqP5c!3C<7wV;H)ZiZJI{S`Ko%px2
zx#sHZkDv1HAJN%Jn4hV1BhDL`q0?=06Y+RQhfLOTn3dPO+qlkb3mG_oLsMf>6y5}R
z@>k#|t`ak$)b>`l&!gzn-|;PKfj(CynXl_jv=P}~Cnv<3z~-RG^HS`mOqV!HwShI3
zxIf-R_-bF&s^*IoKTQp|+3F)G!hnx5bsXbGjEV2vQtu{n)DOL-si8vR2Pw|q+^01P
zAD!c`yE+*|H-`dAT&>wt1bIRfr0{hO@e{%;1fjv;J*>$1_ju(W+uUG}>wJNOLX^i{
zG|q9aIuj8W)l0-=Let=?hX2eemYKfn)fBSOZ3Jm(Zx}FLE_ix#_7`TyU_3v2+R*2y
z<2t-$wabg|?JcLB_;!XXX;XsnNuCELdP?>8UK&sFnPZ*52kJyg$^-mm_v!CXC%F#b
zRKxb|AT~x|&_9pFR8>}25+zmre;%gaOh~m|a(4ON#Kw&Sv<qbpRZV$nlbF8PDoHUS
z^B$?g05JX@VUhy`6uPcGhS8}GJnM;I@)KbUHf;wbF3JOY&5hWsn(Vz4T#iddy)Y?5
z29&qfI>_g0F@eT5qF5^?0+#@*I)6#TyCyZh5Rr1ipf2LRYvII&1Vo|fV|&!>R?rXq
zM#J=gaMs+bzhfaef^9#Uo|dNN;}`{EMW+6S<P|D*_<cg~kcQ~p%mSShi5cB^9GHO5
z!C%F*x7sk&pX%zb*{5!5=o9{!$*J7HruEz(jMYP@GX;-4Ps+Kjy%xvGUGqqpx9%H8
z6(kL%@fSbUHiU7O_|0R(+kbLBc*Mc!-h)^vr~d&J{e^zMjWhReir_3a9xWK9!PK%6
zo?;*f05pz6%Jowynlr~`Sm?S^*?Rlt#{Qr7fXU>u@QBnmtZ^@|<oXSg=RPbzr2#6>
zqb$cTtYx{TKta|s1zytizw%(Mz_#9dVz!>&pEdMf!f9t~b)$z^#eg#y4i$7`Cgk_I
zzX5^N6g`MpBCc~~BjF^p+5SL@8)+$3iX3k}IOaTv75GS{>?++0g3bHpLeAFx7<!$y
zg&~r?&m;;HZ12om_TMG6Xp_YU{fm$Vzi*9Z`-}oChjK21k@NqHrfZ6ht8Lp8G&ZMU
zW7|&Ku(6t?QDbvr+qRR&w#|v%*tQz`pZ8zuJD8(cb1-{m-}`zl-8t-Jf_=Qt&<p1r
zpy$7QTk%+wGBY%~LzVgFA5k6IkjtHrkwHXm;(GKUw9glM{CRrpyxg)%7xFvrwl0Y%
z=|P^rrx$ekvPUkT8=`Nu=>l1PM!NgVxo9O=OfB%bAd<e`hIn+xZao%5TN;_Ofun(V
zZKb#;nmFycIfQ?<bv}Up`_()o2zmq3p8&kq2h8VO&)j7xe+S2CGGx?+e8(<N-Y1xK
zwdO!c6zsabe9(>`x*iIGG;EMzhFHW=2RByLKH#+cm>{vW@WdhF{4nJM;s%u5-~Lof
zk?1y}Jc+rA%Ms*weM4sMS5wc7n6;bQQ3YLf)!bDM2XUZq?#>_?65RXX#7;3x6K|fn
zoOkAR>FYJtig8$Ped5$b>rK5S{&VU7LijL%_Du=Uva@a~eD9ZbXpp|n5x?^9_C31j
z-*(B45+FJB*k%cf%U&e#=tfj+Je}2K00Gkv8Xvq`BqNqL_2xSrbbnmD41}DU+sS6w
zE;=1HeMVZ3<VCiR;QLuj6KL)O$;sFIYyOu`S?5WEP-ZKoa|cs7BF&whorpc3dw*Yz
z$H!w$K{8C8SQd`$8@tzMnGpB8hYH<kA2Lg(rl#f-MYE4-wp)?y>tg}PmkKLmlk@tS
z&e=a~v5$eR6i=)G7oh9?6m>!J2Jxi=>`bRM?lwL%F#E~CR71?Ws)H*#6hj_*hl!au
zpzl70>8Kso?&bGRkOqYtsGjTKDxqClN;dPMNDEoC4Ir_h(OOGfRfL$*XYVDUUtfui
z-#5x+qBo~cg-D~*YU^k^(*xj7T+X$&TC`!Hu2sl@GRi-yan@h7zUZONi;K+bpglVe
z#15mXrx0~0rJ%(NuIGeq&9E>BQ<<D}l4h@abwD&QoQ<DZDhg=pdZauyID!V+{1qh}
zZ)Z!K^~T1AP&8kLRs=c$(=*2#9zw)iEPvaJYwh&!j(bm|Ebb9pcOJHwoR1R>)3Tjo
zv%BRo-||jt4T(Fu4d&;k+yFhwUPL{pBu7O?cQgbROFbFrvo0u`*NKF#^MoRw-NtQp
zQ0EccXNP+UasQkhJa&?*z5CpE33NrD$iBEujWf}!ck+}k)j@)2R;?qQg!qU7$V^48
z7(LWvBk@$$a>FJnn$W%6WQZ9?JR>`l8d$xg%c#7FrN4VrvBL>}*X+};T0BfXy{8I*
zrp7bVJg8PNl3!lE>kcO~)A;7(-8K)sHn`DV>rb7ZW*EwU{Hr;bJ+3FZd3PoFgoV0M
zyvdu~`XYK5HPzuJsE_GHonTf2bcHvu+p~{XdUV?DavK+qqWE>uV*lAjZxtFaak457
z@`D9-#GfvnIl#lf9@bLoNzkfm2P!kc=vS4v06f8i*tZ>w+E;&NB<GwFV-s(Nw$>ZW
zv9;<8D=W`!+if`)h`nE0%4A#J8i9B;{T%Soi5)c`N1iXw;F)=eB1cv-N}Jr1Ut;_T
z8Co%9%}c;TL)T2unpgh<n)$bO%6K3n?_nfJ(CU>tUcuo<RO8bOb$Smm7F4?A<K6R%
z!1&p`*gzU3ZC}9Jw>Ej3)htWyW+o`Wr<U`T<z4&v$lB<@pUIXEO>wohQIdIQxSbm|
z>rp`iQbs2;^z<*E?7fSzlrFHjeSYw^bGcF8dN978!CMh@=zo2uik{(QV8Znl--!A+
zVz9hUi(wK|lK_ud^4R8}4PbS}6~x4f!<MSph6QaSS7v-zJrHp~(fKyyk`kuK51}%c
zsJZ_H_FODJu&_-@8_h=~vX^R$+R4-Ny$FeZIQ0KZb7BX_9B%J$ZcvIfA)IRK^RQyK
z+}{!ovExe2LFF<kq^hryH0-su6WXLTH^4po_*Q6Zzn+6&q|m@?v!*zn`ZMO~2Aobd
zFKalPQp3puqp#ME%<D3ABZ--ghwONCd@OymiV)HdLlD%^)HF$xrw7AJhyrIS_<WS_
zv)N>=WdxD_wjuGg!~X3nR{)>b?P3H=m#bsPE*rQkm++d{=lJ+Ie{K$5mNok8LN|);
z>|epY(m5f`I#eVOwdNcr(I-*Km~7Sr6?^?m5`8OzJuFlXDBpmJU<X7uN*`Z1U8bEc
zuTl?-oSno<4Y}T=>leg_XfP}^mJMGP31v?Oj^oM$1JcgN8_|U^wd<WcBB&`#_6nql
zftXBq=Td<lfpRjvrBRlG)B%**F<8=q7u0#Eku|mEbJTDbW>W|?Bj?8m5enb=us?#{
z#<}p*l!Vg1WZjm-leW{ilVqotxk#pidnv<YaK*{eP=4C#0jE73U;n0|01zat!X#+C
z@-S4m7kHg-d;UDgr~Z7yy&3YrQa!^$?K<K$kn-mKDQ{uM%`MzqeKR{~7?M$O!B?LJ
zYb(dAQF2<aYp}T4?KQhHaW2yR+}=I<iS^W~nTzK_>l2N-B>oNLDol>NB#L2?N>IX^
z-~$8=46hs>r(f+QY0Gfp267M=rG$Oe_v&EbY&uW>BsOZTymvUutQHS`^?n=&6i{Lf
zuw1VAX0T)k{A+#7T0peV96{z}c6Sj$19&I-5EEtKQstq;1(JnkbOaWtG|?jlDq|A>
zI&Q(WNN+?NS-dnw;kwV6k$?38toEu&T{?69COZ~aKjJH90DanpA$zs4#1x4P%x$ey
z;~@eas~x;T6B<-*q~~q=URb9J&<;fGXDk*(Uqw%kH*{4BKAPHBh2i8yeyaW(|5s_Z
zQtbC}P>wG0v<dm0Mt|w4>zn*J{MOJK-!cUY5QPJ2#(IW|H3VY)4Qw?*86W1c-UXT}
zM^eH;{i-t>>H9Af4GDMCX#M&X&7{+IYYHjnQJFfF#$)=0V`gprrg1Bn1$n<1(tna|
zVQszMU^Ei11l)qX^z5A^GME_-4r%(h(2H`~s5^|d7)m`($CH`<K41*THNmaNiK+wp
ztG=-_j<-uRP_hbQmHu+5VV*dKP)MH0?DLjZ*@;<wt?uLXROR#_w1$wMVrSmOR9-1g
zExNhP>8VKM%-BriCjjh7EA^v_&ie8YK}P~w+7VngiNpT^AL?zpS`m@}PJ;o-d1yZ#
z|8jK{$DH-|UaK)!plxP{!-?P$_GYiT6sh(2yUTJ30*;R43s;l!dV2U1bWj^ietJTl
zG(NmJI#3(rm*roW*Ev>c#AY5M>FDzGSJq+2h&z0TB{ylm$b){1Gd3<vLzCcvV*wBe
zySewJzpMmXkSb=}>%(DYVR^R&D`Urv1e!*oQqlnIvpV4bdTUMA8U4de5GTJ1pz9ML
zy=X9L5h3VX_bg|n=>5Y^1j~lk)z+4g=c2WF`@`chNr<rf*|&mA^>3TtFb>ngXm946
z7iYtjC{6Ry+IR45in+F52pr3@lb@IVP;Twk{*oI!Sy&1<o##wB-FD;Pr>OKX&mJt%
z?*!W}%)tFgrk`-toJa!{>WJ5=WIxY^?wEG|$`kp6TPC--G?L)5UAOPx7j4W}_nfum
zc&ikCpIf}UGPeWaux1?20~BC4nTb3+N5rwu(`(!t61Eg~GqHKyu~Dqp?FYr#q9rM@
z!UmEXPu~)3h~!`=j@r58VAyo>z8VJ>?w+z%wc+qES#{mi@$H_4Nci{wuh<sw7tl}D
zD~;HK#5dG<eTeTeu;g({l)9hLe7w(<6{N-5{ZjJ&BvoQd<k526vgRf<gkFv5Q@MQ*
zm#5s2uroQ=WdH6_5}i9@`Qn|HbF9Q{>V7ss7(sn0G*y=%O?gfBZMMgQ?015h;#NDu
zJgMhtp2DV!<(gOHz&@__;KDhI!BLwt_+MH>B0nGj%2NgtSQ;?HB8L+>s3GA_ybHXe
zJ;0^z!vkz>fni(K^lZ)B_p_~~!PeJRazFt}8|S;jdzUJ-@|E{Pbdnbd?XX~PWpNgv
z02`?=vD>ljX)c;wiB2R3c+0L2#mSY*)#`;nQ(j<fEbAb`emHXFrZBKZ?}LjWMPV_e
zWx&FE3YyR^Eej-X+1&6p)ctm%;BvmP`E&t#;b)0b=hC}f+Nl(rTPNfiRy6Kdhsv#L
z_>GJ4)S;nY|Dz9?TK854Ug1En`C}Nhebb9)f@i-7(c&hUr9T-kcq@vGg{o8Rf%Pw2
zg|jtq*7F97sV_(6d3F_hnFWz=p<3_K(%jrFkZnO;>;XdM>_Zv_$jL1ZGewqHR-T1o
zWTz1G8ylS}%F05ZP-yZ9A$l)TctivU$}<`CP6u8>hKzyTskd;r=wk2N;vd&8fuYtf
zZ!$SAYby(c*cr^4$k#`gr<bQ1fZT!3g4%$I9>TZ0wyAr(uB*Nb>V%EyJPteQQ`L$V
z$F>FuqJ{e+cXcblIs9nZLnIIXJVuEJ8Jus7e8*teNjeUSq_enOZHL5M1xit^XSfhJ
z+v#fX<wsQ8($oZ>aZ&N_o5P<Gmc%cgu~(G#gAVw`!*=CxE?RhNp?&QJT2I@U&dV2U
zZ1imPs*yOjW;rh}!$1T)1&={%4Yzui?r&MtGhyPP^_KwsNW1Xxy17N`_4lji7avWl
z(r_IKgbf>QlLWJ)GyYS8oyk@U!z*y|qRobP);FY20p5S3Xout;gc5BS%Fn!ShOd&)
zg$gwC8cn>EM}IW@6^Y*VLm(mOU|ZsH70<jlF8|V39Y!N;BKIu>k}aiXY`35a>ECAj
zqphAdWNU5B1Q!brnGSD*l|-25k<8Jy=H}OlzDunj)2aF?VGptU#nn}hpEc^J2t-R?
zJTU2+yv9dENR+K!h9#$+i^0Cyl$qc~buN}v8sJm~n&<)gqw-pJ`Vr5HrzH{qny>Kb
z^?h+&C%lg0mw>-pBNvq+)GvJ&)5KYKj3l$zrwX(BG4mZ6&b>^hZi~2zelqD)@i$9S
zvugM9E7gy-iPi4U3`hXGdG#is>znY+t8f)tnroNrw_b`+C|FAaZlBHLIHKWUmSG}u
z1`FUsnz4(&xJL3a|M}sA%LWYEoS#k3oS0ZJJAgGP;*#YMpyF8MW-Sd>hUCENBt`}J
zz2RCcVl?A_?favmTaU(w;a-uR90$)xf3~9{Fq9flu(D*s%G}+|Lu5G>sP%8fviegh
zOT5XZLJ{qVW~6q0u+XrStPADp=MHJgI5Ef!(BERM`KN}yQ46Qny<gX!z3Q^0hK~x!
z4NNOpy}zB)ws4$4FEse+C07Z=8wKh=)+h_QUsi6qzKa%@TED!$PkK0@5uN*7{5GWn
zn8j(7sB0WGG`wdcn{4gtueM8Eq&qx2my2&LcMjD9q>oH+1avlx!&^>CxVcpgWv%ZB
zAyBu{kpTt(>kR|&y_x!wEepN-!z=~lXw2%2YUt#NK#|%dO33?mG+mpZygPj-Vun1(
zA*kmxmH!#Q({J)t_AFQZkJ|G`-^RwRVo$S;%&LqfPji}o#u~{5rQsE{#>?A1G+;5Z
zY`7a&lnm4R^QGsnz{qJj5OD;>AALzDeYDqb1NWlVt!t`?T8bv%!ZRuP^v~Ney?Ndj
zLinzd4mH;_S8eu9Niy>cJZaivD04WE3_J;j{n&UZa(g0v$0HE{BXwTH>gwu;>3?7p
zQjv7$<mmW{(le2H<1{6BGk&;B1jd$0VJ7b9^MUILhM-lJrsn4EW(Wv8_t<>V^^ueu
z+7)vYUklI{&AbrMmu9^`(Yj1rM5B9MbW1o<jMa~9{R9_moo9vq#-ouOX&$4w2;vJ^
z+@6{BdAPmB?Y_I8sV201AQsf6O=gd7cz=)nd-q`59EiD^5K>qW8qJmag+plUlEa}D
z(K@gsg28)RDQ7pG>70RChkKsKx-6@~BI_)&l(Dz%37f61V!9;Obvyk{8^$ki{@bFi
zAaMd=hnE-_L_aJmsJ${axoFFAWz%su1Azaq#pw2Vdn3k^h@sWl`t7vBX~eT`5C3_;
z`{ss*MA3b&oz2To7$A0rsko!h8#5-~)Sv3A+wj{H=CFY=uheC5b?6i&dUb!h{NCsa
z>&<Rp7*d1DLBQ%`LgC=>@1i-&^fS&1hXfrGs7Dr~_%=9(A;DJH*fW4=Sfkze<s*Dk
zvP0{(J!PXKl#2Yx$YuIhRTNC%kLf3_VIQ0tNXuvfpbg*)x)_aA!7&B`FlHddlh!gz
z{y)Tu^flDf7Ab82<CHerc1!x6ZXa83eI|}@jN})IwC!HLM2|Z={?}#GCMhXH<n0{a
zk3XyHa9ci$-wfr`vS3ejIu$Im@tCLHjWB+CGfg@`6#xwCZ>fFyX-w|k;T)nh$IEla
z+zCVu*7@9FvjrO=21AhtbLsdCyYjx+Bdu{zzHdgC^~yW2k>L&$M=?`M80uO;E<y;E
z6Yh%@fu>JDAybAz@tGFX^u6u~#c++aSf6%bA|v%zeEurMpj+)O7C@2GSzWT?NrJ#v
zw;Zl|9Wgp;$Mz+Y8Ui!o``B{PfAIh&T;F&PzZ}7Bh#7^kfB%|jv<LV6eA~aWpHa?$
zT>F@Z2;}M*O@gw4x3`RMzI$-lt6ZNImi)!--et#YH3=G^cYFbL8Fow7xkCf+H(t8x
zg%@37ZWUQiP7_{e7j)PuK+9G%t9)UU!bnnR<IJ#>*ol~GO0x*H=GiYRzzz%DL#ENa
zs73k-Lhm5WjB)V&zhlE0)&kdCWccVbG9C(xF}wBfG}_^bROS;V0%FvN-=6_?`qNdn
zju~TbW!kpqp1C4eO=!+LW;kX|sT=QhF~tKxz-LPT1hD{~@Y<+nqcnt#uu8_P%=y@p
z3`d!Sm5v!%rm?SOW@fAyVa2VdP~@^Oz8CLOf4o-jGDu5Jym%X(EnlWOqvLi?MG(K1
zV`l25Opi2%Lh@EO>w4&9G2Hp~vU0fa68=}%+ky)o+bM*<(+-#z$l>|m2$G=&D&)%8
z-TJ*w_M&b&qVr-)Kvd%kpTgi)Ys9A7P;8=!isVY$jn0#siUa?(flK$jq^<r=&{fo<
z8Al#b!UYaS;4ebAVD<cg-2X#otB?Yg2PiS#Lp|LVJAG~LZWIRfD%DUkc;8N9V&V@v
z21soRQP|jq!cxe5b;tY@hv7177lE-!6zSK<$0&oRfGiqje4hYO$gERH&Xh{n7p=97
zX%lBvO*H8;7b1#TP<qKPnz^xTYDkMGa1MiuBjzgjLYN}=IY5SnOH~5-^n)&NUVRd;
z`a3T^6s&=4N@z)Glla3*pAZfD;yL@S#gF_9rq#|yjNKk@^k%3;@{vp?D8Boc{=Yci
zbFCxU0<9}LHhRnx%*RSM^RoVgqUfSauF80z<9Bj86lmT*j&K-4iH4b}{G}u8dhc(d
z5z1l`#<w=$0n)1me@)z>Y!6f-XfxDb_kuWO_!Qx>iY%LD3gKY<^75>-1=<lAiaE9E
zR!u{*r~giZpA#E#CgwTWhdc)mzBoA1lJL7dGnh_gMxS=fw}`{cI{cXtgcb{PwvrCr
z61xQfwldo-Za|Z!0N)~W5hn(UfIQlw?Vod;>cKS=7-!R_UfmegX_VjQ>*3MSSG~4s
zNGA1DzK7<WTDep`t{!Vde!J(B;jfaGqZr>0|F`A<prs!L=Wll6;`~u3-KlLQIoz`7
zHo<Vk%VXIwD?vkq+rWg6X#$R&BxYo&9In&rcmL7{UINPZ{ALC?CPY&08`Sdrcsp;w
z0zWTJrVtl*!?93ffv&CGE%J5;sVjLAG?4@GMf{=n69_!Y11EMPt#ANWo2jouz@WSU
zq<%Int%@7nzO{KJaRA2GNXCYTOWT~Ii{nO5_4P0YNdSO6-Asdq_V?z#?-Vb};-D|~
z$yxB8sp0vW^y5fY`NtrWpNn+ZyE(>J5-cjH2hFK!^A#K4kNfAB6_eF5Z~>LUA$|@j
ze780p7rBS`jvzDDmd)0_wokG%71|{4Vdh*^%EZL`ENUfCNh=wnl{$>_orTPNs}ryl
zh-$Nn@c4>N^5;HNGY64E7WNt*N;~h~dD7{kM=oDa-bSKhBxdq4H#OI6=@6gB80I7w
zE{|*;zloqz=0_a|1Z{#SZ!j$^(mE{P^dp8RZ(bCP7Lx`u$4g6JfGL3qb{X(kv3z$~
zi1=1cVZ{A-(Isr>=4f4W+Py6X$o;cp;`J>lDf_EDBV_H(@$GUrY@8_SRL)xi_H$n7
zg)gdEy;`b?sLFjW_b%C~WK6Pw`do$IiBGLBIXKHx1h*di+**qXg%iNko1PTuwoU|_
zp&#wu7I9hl9>PCt52?Pa4TO0RERqXyht{&Xwi-L`2nr4V9U$axu=)f@(4XL1ul+)x
zuu~cjoR*qd+Cy!2$kW1FAwyKB4gWWCv=b03I9S51PY8f?0Dd+0yS%v2Mac#Btk;2n
zhsQ@pxzW+l#YU?vycPeTfVz-mnd~7pROwfdi|6ruq{CF>Wu0dzyO2q)R`aVBB5i;C
zPk=2I+;LKsh#jkPraVR-WIAuso*4u{<XpoNTLqkM9I;w*IZfN>n3UWnUz{A$xuJP-
z3MSm}X~}RfAGDv<Ll~fby_TktJw086oJ0%EJ<wR$);IZDxq+LKXntWKVoP~;#K+i;
z%sw|EMn9-|oIJkj92T7YuCc^spHmob0De$^=+rv@+3O9inh^G0TU)GPfZru*cB6`3
zeBy^`FTUToH)Rwc!4w^6!JF|O`TS;oo_t?!kR<iGhIGuIdD^wAi_Y7AHD}u1zI)7d
zcdNB5ZB7SeR8%|)jy(XOJbP&fyR5C9p}74O^2<d;G;_HWd2Z*6!g9`)f-~E&TdRvA
z{Gg&DfP*1#6KHcqrOa=?J6(JMXcI8KY>7s%PfuTw_+rm^=@|QQ%5i`}9{l|LaCz4r
zx@0c}OqFyr1_Unxyf1Hamzkps<Fe>Rg@dm$JXYtxCI}3>zYk;1_{wr`jcXEQx17i}
zj95s%gC#fEo0icp5z$1L$Eff&R(tt<YNiyCIDE%0`tcKWnN;8BIo4YRb>^H#ue<f`
z8sH0`W<teXh@o{a;k*|V0O1o%%c)Aag)Xn1k!K{WerND$b5j)QrYf>pyo^8Z$H7YF
zxn-a`pRKQC71m^GxnByvZpT4VIn%kJh_)FD@B_roNK9}OCoVj4#!RmGkA3#`pORzN
zF*i+^$2}3-s-(2eQEB&k=b*9WUvq+tF^tf=`{233s&F@>_@r$|muAhJBZ1~v-&*j?
z5Eokb$;uE#MYBYL?xAtv7{%bvs@wQGo<E0&<{!~<yb$};aBNzM^Z&d67E}PyNS>7k
zuIw=01?;zuZK(m4mlh)>`E=2$<D2%efEGUY@k%95g(?}nx7{J(9)uvuc-N0OqEsCW
zI~D~i{YgJVo_3qN>8*XcQ7*gSR7DS7gU>kUOPvo69&P|$r=5c1#=}mbgD(S4M!V60
zV<8k?$%rGbZo4FK`pu_k3pJ##2ZLUCG5WCE?Sq@P4<#`|-QD#cEY-w~8VEo>)DA4~
zv|_)Mq3Az@NoHGX#VZ5nP`P=$@QvTYS#9O>Wr(d}Te#A^43K<V0~H-6m+K*B66l`)
zn1*N<et`vR>lam0WXFlDnHm6qJ`a3b-}yFc*Vmwm&mOz3NF3d{Nk<2z?e@f|-Q<~G
zj+PR?03yY-{#mjqCo-N)8z!ZO%V?Pv$yYx_X>=>>e5RVvaMJf6D%O*j!Nfo7wOzw0
zP@}6GK`nrli6-_tfyYX0&V4GfN*K&ZK7dLgPtJ_stDk!PqpcYm5PC!(!+t?S_6r`6
z2~w}@M<=+ixp)7X&y{y9XRT>YV$;45cSG+EIGuWkc9C|HM2sbHJ(pn24^(QXt%Ifb
zaZ{VOoIc)Z+$U9${TaCy8=Ewof8RHW*tojCFyZt%Yqe^?|G<5$F%&GeOR`MeLe)jb
zBd1urCP+bqrbQhJR$Vs=Lqy44)4ojn=Tf0}pz(llI9l(4&Vv<4VKtND)8Jv`6lO>&
zz$teFbN%g>M~QW-fB4@wSkHwEd;MKI8I4jQK9YQ3R7;N5evGGo&c(7idW&50S6I9w
zrW8sMsu25?=-xfz`b`-dg;%<A3cw^60aw9MUf;N*U3AceQysYo$9=k)k|e46V}!e=
zhfW1)@Gt`B^qi@&(#Ll1>h-{bt>v#ZRdus=j2jJ7Jubo=y+wappA+_$uMwe!a>9mS
zvvm=fZ#i=Qpo~yP@W)Ym?{0Khd~6;>x-kZHLo3d#tniO@y{)@!>Y%RwzHfvKUip`M
z2pq$2Y-s3Mg77#ELeEBXMREiH3Zi!gCBxcJkPNyM%+>Lc!X<4JGD1#S&rs$&(zO=m
z-9&)UdSQ7{bg8xw2e(y(-FuELZuHyW2*>(Qn9?gJrVNc3{|ZM&pb9cm9$y#7?DWzi
zzPuBvcc||V2lg79uJXMmzKyIk#ekt^?|%$M*Jb9NNC08{%lRd?HWAr7Iy`HTTz&E-
zKCt7xD*+0S%GCyk+CR#{Dc{ZE5WS?($N9Q=^h}n@>)oQ&*=@@hKMpzNI$3i_XO<)0
z#3|thY4G@9h1boR#7SnnjAsmm7zJfUmqa$;fRxGPLvVJ&2iYtg2gDo)8zi*(-5N?y
z>4iUP^b+`qqrT?|u6O<|43|I%U1C0oHb^P|5%{XArKHMQ29X#}%W}iJW{<Lab2n$-
z(cq@e1@e40tI-g#*kC=&#4o<4)!B#f8~0Q1x~Tuy;sA7u&ow~0_=Gr@h*@n4?Dp}>
z*)cU@ZiFz#fUT@z=JD?&ho1a4YQAv-*7r>OPSj}?{9!RT@i6u1uxmnM-->wAymIYz
zP9wKH9xfU=l?U8l>$yu)9mi^<2KeV`N08o7e%b++?#>8ZfDB@IAxn?m&nH2T;L7r?
zLGI{cvLsA)YybsTttD@p42_tK2J^w=GRIFZ{wvI#OGS%O6b!b!u1#T|+&Rt~m+TWH
zx(PxOEMpuLglvf^`9y<+sv4>$%LTb;X~Dxs>r-NpI3(k@*Hcn_mft<GC(`zA>n^0c
z&oE$ekB{4j=4wDODe9v((I%X)f8Lqp?WPi{e#$>#Q{k{9KdZ}nmV+ut3YVs@H+M=#
zLz!pRK`N@IW<ET$q=S)kd6^7_j>V2LKlb8$N2Qihj=Trn2Jw8o{==?ym95ci)q;)M
z4jS`9>Gl2NUs(+JxpOmGoG@Wq0`d3$Xwqi@JHR&-ttE*fZxM3F-DsFiW@PaL(E^hH
zgT0rKhO`Qk<JrQ8Cdhw$W_EUVeRj647_xL?bu5{woai<v6W*0(Y<jgfY&XPk$Bge<
zS)#*EAi)ZWfz3+O8{YGxdEF*3GHYZ-vf#;}o>Cx<nx%|Gu&xbuVQS^qWHl{)^Wde4
ziOK7G{DOJ+O{qoPk`Q6ShlZ5VnHH(Cl7^X%p*ZOKnQ%<?OyT~RuFx$Lc&UEZa@43F
zQ0QG!`~wrPwKu|%KhP$A`nz&)H03Cn;n48n=#K^~n4aSEZFw^Hgg5ESBVzrzQvU)?
zC6X#pyH9+Dv*HO-q10=|v%nzE<$-OkPVs>H4*-NIy~Gvnz8qGoyTQanV*kFGCR7Fo
zxk-C7UeH=kZdcKBSbz+va^$1>*-c)_6lf$m)-1F5XshZ_01G70H%)W89r_z>Y>A)H
z00K!3&}zC9+*NzZ!v^&_Z8A1_?%ATbXMY`~lQd<p9j_;q@20~fskyav)_)=%x8(w3
zBczhhVDbqa@Jb0;-|)4mI**nVMsbSI7Sd#gX6g(fchI4%wlh<RAzV={L^?t`ipj=f
z(bXnIfPIJkg4=T_z|Zdu>Sbm}6Yl!Wt_;25%s8`5^3xNGntBS>F06%GL}YGfO(}n~
zwNnVF93K&-KKb1u+-LnACgfv;UYJztFMvQzKk2+y{8X;Gf{_u<cOpkCYVGW{+=N?v
zRoy2Y3E+plVNiCRN9*C9kFxPB_ujSpoGXA~xL<^&zE98*xB}682gTEXIOJbr+y{v&
zx8F7VE0^<w$+uM4n#vq8X*`viiboN`v6demVJ3@)kK|>^fQFq+LIqgX2CcD6b7x_J
z4r_-uw`lxeCb8jhDJ}sOEOOl7#J%226~^6=lzY-~z4pep@c(#UL7y$NZ~V>mlBk0%
zWmw}msw}!Wt=hUu7@Osg6Z<nBwN1%46Wg*p_KF-4M9V`YG^9z=ZK98z9Cr|BU!c}O
zm0+$rwJr{s1$@R~GZD&P2Dk3PQ?FvXO!;JtpKx9mSg2p($Cm6p$C+149H{tgf9y~M
z?e&}m_{n>1Wu9;N?4eH)A9XCQ<@xcMbOU~wavSU>fx71l0~vp5XV!<#&OKoVnft_;
zr5BTAf@!bT-X}$v(`H$FH5M6ac-_OyCKjSwIf|qD)FLw2Y-gqRhy;bdd2?DWIAB6h
z8KO{ctNTo!hLHv@*5_23S@2|?OBZI8{IE0fv*#|~kn`?Cv`B{?qHhx3=O9{GuPWD_
zV2Sm9axL*=W7}b*ZkN4VuPVuK>}a~g1VJg&!(koHbc7Z>fWNTbHwpO%izAlAtP$f7
zOLj7WcFEsY;a*;PyhqOdiDu$x;S63XJgF@B*eBpn23=`eBfAJ4EKPW^0@GI9X&UfY
zFMn#7xnekqE@(t0WR>LEs&`M}Cq0d8%xuT@OO<gv0FWu<vG8{nIi$ZT%p_C_MMz#y
zAjvx#MeIchytGIjH*5pe@L&a2K$>lTP~;T?OeDzTIw8tu)vORXME3|MBqR(OdH3(l
z^<fQb2R_uLBc7%5g1KOVG|3`M6DNgQ7!i{r-K51@9Dh;#DvFUl$^?jht7As9B>jU_
z?^Z3Qy>Q9-v-+fus6uaA(BmZZN5tRp#1W_7@p0Ah&pH7acw7`hW?3}Ax6q{q!aCG2
zL55w|$e9U%qWaHJKS2X=eV|Z*R7zdww@l7+&*O>4)2@f|RH}ywD{k&GQb9@)Wb$Ed
zntJR>5=iCH2iMqhMS4)ULSk3V&U6@aeJ3^Q-lf2KM_-8_56zfR{7>gIS33gNyDl!-
zQ9a%npJ;j(yI>nEP4)^)0v^(~H@SNPko`gA7l%a5v~Z$mMb8mC#gd|~YCR=UF%u)H
zAK|*|Qewi8eHW(B&sm%fZ@G%;Jg*27JgB%s`1h@?+h1IGG2*3w0?ubg){qrKJ$&7n
zp!a3S!ULzEZ+{E{RdB53kXkT;<~@sTyT?O-E<B{J_U)T;po^p9+5oT|9@32@36YoG
zA+O1@vS$^5b(~Z|9poeB_$SZI2%$7aj=$Q>$l2Mo^Xh_l?uYa=Lr#Ac>#zUQe5Q6_
zQ#2>|WIYKU>wc=Cy1uzuVMm@5p~_8AyzJ2T9=UlDusua*vkb5dv0j_9ic()ZCIR@y
z&n(Z~f4o12dOf_C#LaE&J*g$>iI_qQ*Y}nFJFEzh$jgi8ck5S83Mou0^GvWMc^I{{
z9Tbdl{s!+`(Vz+#Zmfm}%trzJHQFU>q6c5-DnhN5<TQo7Jr93HlKi6o96K=D`MB~2
zr_gQJCr8j8Jg8z(`3wO&Eso2okx~4HT)lC3(>yj}62GSZc?-TA#Oe9o<d_g6SHRQ|
z!T1)2;a4$nPz=6!Ndv<Dd6HPWS7Y(6rH%M`7rW`u>co1UXQ8tZhsCWrg$QWrwIg`Z
zD4@OHKi;*iHWi3Y%>tJJjBOLLr#vzhUb&Ta>&Z<i<AxFm6(c8eS?k782Wr;_d5iI4
zSReRy^0yz9aHv_*?cMd$lAKX3zpwNMME7cn<w%RCrg)p(OT(@a5K>@7-G2Z$PIU?|
zdw37*evh^p&)Hw*`}|#eG6WaczF)=FniqaXk0I1CzQ|ur$VZH&!uEL1a#8kpIaa;*
z%dajj1P_DL4<=!g{ab>h_U&G;ufoK1Hyd!eEq5rZ%tOl_+DXhH%)49h<UQ(y)Lnot
zYsDXlPxt@4yTkX#Oj_6*+#LC7Gq8o;I3Ei4NJc8F>0Q-x0)LGS53dhMHxhC}RCFE=
z8<2oFE!3<1loo^c$Ea|}^@S4X-aK7dyT~E@#5w)wd&TCSIy?X6r%N9T#am<Y2;t14
zxMTAJyh~w<S-9kk@$WZEsctaS<PG<J+#F4v)l>A*OM-&n<h-NbHC=fnUuc*<DRk8-
zc!qe)cv^;szq16l-ebQS-!SahpZ%FiZc|?RU0e-S!#!E(Rq$1eO>Xq}w3>VXXaf?w
zB9BuA=xPozK`Max;>^hD$=fnP!iA83_!OYVdX*dC>IFeTa~|&Q8@rjCtB{IYZOD^0
z!5+;cCXZHmNY=|s2vTT?n#oIcXWQzJ^AIzM70>T$I0@7YT7TK7C61J#A~@rwM~lv@
zz&K$*QqofjHGSyHn&zv-LjBpD;1EemM8$c4jP23wg+<qpl6P=f@k{{7joT0Ee{V4D
zR&<GuO#E^(=5+tl_$#-r;FXP)ha>km-NFKUkj81eG_O|?&!1Ch09t3vxD@IaCJdgB
zq_Be(GN6{4KW5=4*R2_m;}lxKfCSUF>a){cB;$Wz+_>(wRX=|KhY{b7Iqd2S-DIoz
z>jLNVZ2E*Xb)nqftwz%3;_gi=9xn2QEOLvF3}lq8E4P|fs4q}KpI*c@>`ok~FaW<%
zk^r$e+qcIU6~SsO6y=MOy9l3}i6y6koNexBRJ+kF599{4Bn>BiTHL-JUz{h9=Ipg0
zA+d?wPQF{faYujmSaF3Xy8M=?6+)@Bmx+<2auoVb6-g}M-0?}2fQg!%{?m1u>;C)9
zm#!w;ZZAeK-i+(7JmRE77eaAbeg(Rbm^v*;Pk=sxly<FT!r9ZypT(i*s1Xt~0`(Bo
zTB<|X8dvaRj$LkA$P>=x%F&_LOApJKt41e!rii&d<`B54z+SfIa^kc4?X#AxqWh08
z(4wfWKvmSleWL@Ekui4hXTEJ|=`%lF(mWkv1>u-BeI<cr)?_qGB6^A`N;BOK%<JX(
zB>dF#l2ITwG5F)(bp%^O2Y{k1LQW`MBLlbp!1}`jw@1AbbOdDQ5bqZe4>+v=l5`fe
zVdA>}5}^*mos?H-Y^Y2KRzsnJ_O5^7LPtgC6N?Yih`DV@<h_*XYf*O8Sh=olu1N2=
zGIfz}eVCzP+E4?Rj9Zfm(97h%i|cz*3426QJWkubzZRD#YuLstRS#3*_Lt>q5&xM7
zkfup_$&>Is4+)mn^ZM<TLEIQV@FRZ9FTUfqII9Fzr7GOxttT8>@5>sXW&g0pht(?4
z)4Z@n^Sat*8Pd}0RJcnjj*c`%qBYFZA$Q0)Dc1AajR3^%#K<w@9xxYv38ty^+Db8o
zm?b{$T&B+21%K%vBh%-hPEVICo2NS8BT#XIAYZa}({mdLj&Fyv6^p2#o>c{Gi4G`X
z5`O#hmlsy~A*$;&-v^Du`6!JiMrN135DQf{fiiBF2RIg-lnQvH%GUZktKz?k7enY5
zOg7l!cKuhM>Pd6fuTD?uXF-e7WL^a$Rs9V;;PmUQZ>x2#?CJ>NucQ&4>Q4aj_iQ)d
z9~3r8)!G92Cb1tEwnaVM(H8^<dK?RPxA$5by+!Fu8ljSn!v~QB{B5;mIBtJbRq+pY
zWOy3-ifO&*?|hPBni&SNoih^!D))cf1WU5fjy+1^r{i(J-QV6)-qr>6Z$qscP8yC2
zle?eBNs`!`z1gfbRTBF4#;;gxGV>ke1G*?)PS4H+7gjS`W)yjgPMtJID44D8VfBQ_
zck0A)?(YLYU$hWdVq83z7wp7tSTb;A?mJJ1$&SzNf<LioN(ihQikXi~n#$HGdv^U5
z?<?>+n`YPM5Gca<4x5M&rfq<-0nBgwBErDK!vmA_ok&<zy#VgjL`$f$ieCO0h{WLp
zW32RZxPx~LMCrd-{Y+>vw(@YXPB?&=WX?P;ucm|~m20$;;baiFoNvKeRR#<Ai7}Wt
z7tWdy(Vt7L=My8ILFBuv?yB&--rU-|L1t7?jG_bat1>yuBDSwJZOFVVo=zAuf_<4L
zCwp2f7~CQe67g=i4+u?}Cns4G;KONHMi*#mceoA5m)BQgG;P{4upZx@DN;pT7$u@<
z%kk=4R!K`|3OZKZ*ukR&xdU=o(k)*-*P}^<+~QiZx8$zzzr0w0zL&;&fh01_KPw=K
z0991m{T6LHBE@pwn`sB}D*eh>`$d_I`@%zD0pTSsnA1poJOfd}YFt!SMo)z}QNqUE
zaGe*ibv?!{1#Y)$`N2tASid<WO2(&>N2$W3WsC!CtM6yZb#PZVA&!-AP0Zi{c*DQa
zN;n`A)01Q5p@>__+4G^hiV`=p&e!`P7p{nmw2LebpBUPSp{sb$M_d$*Q!XlM9;;)4
zu^&QnPEy+@3h2-4Q7_0DlIt*6?HqIdctuVwE;)&A=ZM?);hXSKU&0!F`leIq6R%@6
zIa_lT^ji!@m&B_(?|*%9KYJMP@(S;((&Sg88?C24{N&qFp;&2Xj3w<EXx9tukV$4N
zHH>V8DmgnnWq{Op4Mk@af1it|lEGsI+rY9CiUxw-fre-8=jZ1>f(nPc)f!xz2WI<`
zpy<tPJnEC2PF)2X(2>={iAcBS)>a}dVXS1v>6xtC9_wx`tC|{nZPTC4E`MYKd-KvZ
zHr2o1Z;{vpPp4WzQ`r<Q(ZIM(asB;rBF`Oxp}i3oeg)@NcJsn7mhoI3)piZ1vd;F=
z^-9gVjtU<d&DLzTysZ#$8~eLHKc)xtj5s_|0}bS>L}BBE0;n`dZ^idWX2emOE?661
zlJN5twa_xO@r_!qtk|@|LO3Z4S_w6ronjwXJjr$}nPej4fO4%aJ5=tsX=&zG{cR(`
zyXUX3`<L*!Ez%L<g-9*I6(CA_CMbPGQPG>qk07b)k>Lgu@=(mJi7h6ryUVYh49PCc
z3>3ucZ~9(aGy`J}Sb28{)47T9a3DPE6tkK>3vQEe|FPmz!vlOhAFa3fT?O<gVFJmP
z?ec2k3LGEPAZ0dZvBA9l@7-z7JEt$_g9&y}|8FupvBgvhXFGzp3~3WwDY1_6Bh8~@
zrC~B5D*pb7dX;usD+EcXCtq<)3GODbc|l4G8Vdo#6z2<}@t&`DjR7VjAZU1W*vyGi
zFXcjdq*vyZHg*)cVQ^PJ8x`s#pO)*(Lp7})0f&Xx_Jy8y>sytUU`#)7yUsisb{bG2
zG4p58E%)#p4FFUzq^iY07^4}A@BRGe#6UyeMjq^&9hdTz^P=mg3ofAeu&b*BgYY8L
zU!_OEPNH=|#=&$Yl&pk-VL+vtR7@i@cq_C1BuOv$&-bTsT?P*=+ySdBOr9O|DEFxW
z$GgD4d*KB&Ffg4e?8Tp;DzD|q7yK=o`0eF+?Km%5Tk#0>n5-P*nclpEs&Y6sYIWf}
zpugP^k-RuQ+!~JCnd_>SqJ;J`(K1YY*EH8X*`}ZwIy^Kr&~~DmRi9|e=6RMQz2w)@
zNG$dVX`bq4e!Xi(();`Vs^eyyAVsc((66J^w4c<B#!|&l&p%0?ju#t`qAeU<J74Jf
zjOz9`bdU$k2c&pi1@H6Duj(1{{N@in`ZZA2Ix+DP)dREGf$Hw$L@w*1;Nzw^8?z8o
z(KG#L@bP%cWfUZdv2e8byPQT6NMe}ls=@As@{2lhAWp^f>V_t#-m2bF$DoRp!d-WX
zng7oY)wtv8D2}-PHxH{d!)sY^=I@4FEnCV4%DN3w4xZEr0~?h0DCdhQmaeB`W02v!
z+d-aOetf#?qa03JDVwQ_p&H^pj=AfXln1n1*6dUs=7S@TP>?ZhT>sG}g-M4a(M0os
zqf=JWf#mTia`6SkfJh98cFqR9z0>b;UV$5x#B!i$-pt3Xfx#WOf8nS8L9ENdQ@*=9
z-z|ug1-)kbM#9i3Y1UK&i@CcAyMIHb#-shl=Z+azC_RJ7P81<e+Uzd#K8<eg&T0sw
zgbCIVz+7LPpHG7L-6KLvvOw=fkS&%Ek&KZaQorSQ@fBoH4F;)HvW&x~@zEj@zW*yl
zD*LgQEjWpx1pMyoJj{n!8?c3-vd{nwaM>Byc5-JUGa}zfLW%lNv8A_$1)w1vy^LNj
zu2+xUZA6yUE@|p{oHqhm)bx~Y|3UG-{*CZhXV3oig+q|QOP*YMA=LisWmezT#=>_S
z38v9)4(z(N0DHN{!7%YtEUiX}<)}l3CBwa@h4xe#Acg#V{py#$ZF=vrL3WYPTF50r
zftpW$i?BQjeMy_-q_sjk!as^!FWzZ@9C^570WsKWCel98`yC71l;-IMxfTP5jhAry
zw_Wakp_uK4B<uI*(P=F465)z3AB0Y)KcxUBN%_{?X6N<4_^)a_?)>KFNJO%$LxcXb
z`<5*P&$w_~sn-Fw`F^{<<nV&4P7xNkee)EJI99chYsZ^Om3T^U#s_Gjc2H5ftEu&b
zEF}5X?0}CHJ|xLzuQ3kTqgRhFQHzqIpUE{R3W~7hSv`}XiRpVxf0XV=NsPe$K6(5E
zlU40wFvvK@=yR7xm%``V@Q0QLhVK~h05wckLP4+Fsu8hYgPvPZST9j7am$NPDW0@D
z7P%r}p0-_v)fvOL>>Eg`7Mjm=B&rt~5T#a#@Te+VUhdy#u>L_2Lxj{Oa}9V3N-KiP
zi`1e18{!$avE&z7Xr{M4?;S&`&apKd;~FilIVJX`ya=*r4k9F)<jEf3LX!t(jxO1j
z`iW{+d#<Su?>gUx^eacXkw1BvD4lOh_m9TmU44xZJ9!QFFQuTj*C|)y-*CMg?APnE
zBk#dBMW&7uBd2AFnedU%7C!wF7x+TKY|#EM=KJUhjTg{F8sSGE6$otLeM8Hb!`0MV
z8#7Td-mBAfH~{XJD42-rr=e+2LInP~hq-cO>rIt}Ehuh<<K`EI<@|fH`|251RBNGs
z1^&{$75+MqzqfusMBhx0-TpaT#(_OHhZuyS4H{_()BJ4SVmwGxkw!?NGoONQpuc+s
zz1v&-=+*L6*IMKlVxMz9QPQ{9>+jti|2Pq4FhMmZ7r)rS)(BM5G#EY0WZ^`M;wua3
ze#lNVwu&U>g{M36>0!!a*n05#)Wb9_?aXb*m?Mb9qsuu+-aHU?RjJ^CJ~O`NI-|5#
zWAObR>ISeS>rx$bT!i69b(EYbDwq0}1Ia)*XR5<p&KAmqV9r!Sm5AL+Pd=?5-aLk&
z5kI2?BErm+AZrpn5Hh?MW@qCk__{A4%Wn7(wkB`fHv9~%3{mA>oOT;|(Ek*b0lhQs
zQE94h@l5#GBVc;UN)2mn3N<dO@^wsuH=b)h4Lb}A9(|c4uQ!R75O;%8R^H_`Yfb9S
zz*59SD5K7z!};;m#=UG1p`<qS0alFTb7-{Y<k}2d5}e#_RaQ0xujuP@Y<OPMauXfB
zu4zX5bUHfE387zlf*CnF{<1^KU;lN&+Ddbjm#S-ee-B~jL$4q+5P9D~Wy%7>P4eMK
zlIRQ6FQG}Gj8V7Az?RZ~Z_&HSbPR4xJ^S`$t3USDYOkm`w_3!2fRmFXjUoC<;^-lS
zPE4<X^wPnv*7>ADCEW4t4c%CR^8+2hiUa<mwn9Gmrsv$7J{(#CMUJb`b$2~~rkC9y
z@eASXoIj9w;uaNP>OMuAMz`?bvQPvc;NxnQ0y5Rh@z?!&sZ@fEnR<IrrCrKtB)hir
zP|lI<<6TW<GB1UvrWGHu5-&Kw9&JWV*TbrDdmB9Qg9Ckq*n9z2EKd%yDux#}W7l$y
zSRknxX~Gf!(C)V4FZ*$$NXRw$0@FqJ#oa>Dew6g9)n?b5k&KKCzAwgM2Xqf|okMsY
z%5G*rXf{a3Y!^;VO(C#fAJzTk0lnP38ggtAD`Ac%s9tDN4K2u}ed<G-<a_lV+-bo`
z@E^3C95gas1#lCos+nXkGUteFsJ*O-f&tV`;%Q{85=W=aU0C<kQ+7CA{|*GO>GPz=
znA13sytWaLb}3OfrnMQ=_N5V$wT7HbGt4kt1Uqbk+?HIJQgzkMnMK^q7Sn>Ce~dX_
zPot_)9lTr?GOUtrm$3{d1G_&1fritZ*7hCGMkdsZ-R1_YBtAOUO4C@5+;{3gWL<d`
z`Sd*b<rYA!*;km~B;)RXxC55*zRz)%V3||<Gd^W@d0!k6Kn_@Wlr-4l_2Bj<M2X;e
z>gfM@0YnN`kTCct2IHl^!L4iJ=OD7|JdV_>fgS9f;Y?!6!1)T@dD%zKKk!@8k~%0G
zt#ictOX%IcN@aSjZ4hPb9zdb4kPE)E4iG(zb{VeH8?eD#7KBkK@~kCDS@kxS9}Y#1
zVrgW0_k|VWGg5CsYZ`528t*q(<n-bB+{GFchXW{bd+_d71lvsh@`$t|QP5|;-)&R5
zrKPZB@-}g-#iUV`vsF-{Uy@w*HHnC@5Y4%(e5NSP&lRaa<?Tb7HYVtP@0Xm|eEMv@
z<TJqK1W_!ZgMeib6~!`AbDipM)ra@QUHOnAC9R)B4o!9d4gS<n=4cI@fHPI4VB`|U
z`{c~6$UGF?s96{`LQeQTi08AS`}I62XCf`lRaqAvN4N%->Ayq;*v+^dYep~Zh(<?8
zr!h{-NE8ufNB??fun|xNYgf|Q`NsBg|C{yE>&OB1KiA)OF2T}`-~8sQ+E>HxTt#w~
zLwU!jkMH<Z;7Dl-M&tK?Yo{DgPXNLic0c#$zSf9h0iq#lPG9;_r}iAif+6?c<#3mc
z_0(T-X*W5&IWUqr=hH@v0HQZWSI{BRL?Xxl2?@^HZbD6xQz^dOHmaKu<l}^<^geCh
zT|KDZ`{D@|j+hMJ%<011cvOt`W$TP&*T3!hT{=YDf=HfN02&~@)#?BA8Vt6$q2rM)
zD(K*3d{_AsuNmp=5K8K<hp|ncwN#~|;^JJVJ}KGC@^8ZiJ*Glc@K>Tf17!V?p?Dhd
zx%+?*rnME=m}h9;y#H7>*48Fy^$B2v14ZEEc$thg(W_3wZ$TtvL+o9ihmLcg(_I&6
zjjT0~9?7Q7LZX(wfCJA`0*N9%vT(WAUqO~guf3}FkGrdqy}?94KreDnvBuBVrW~V)
z9Bj+PY=T?sx7YauJcS6aMH-Iif!qGP;w8H$ZN@Yb!g0IFscM;z4`E)+HzEM<VS+ZY
zy)X=bQ|{$hQ~^RKHX$6Y#hL(5elq`OpiQ=W?+OVmMWogulI<&&`P2$+b26aOi>T3V
zb>JIg-BUwmPhRHpIbh+5NcULQcQ+V!BLDiTd(+>(-wF%037L}`Ld!a4d>V7$P|`^a
zXmIs%z`1tRSce3C{?2Y<z>GRr@mEgYVapZJ$`TF;hJ^lUpj_-y)<|Soy&g*0d?kW^
zpL@*8N((Rcd8S(Pev40n7^MmZ?NwDWyQGxurzXVtK5I;yC7sHk!!a7BZTDkMav2IW
z!UcgYfYk(wp4Zj;+67U(YkdaN%sO8K*J5peBU4f!o{MijmueDS>2=TyxO(XD3glre
zO9yQ5a)>3$3+=ph7FmiRYl;NPk)(9Qj_tJq#=Ewk-FivTO%~Z21-#1`B7RjI&U`Ft
z2kNPBzKv0wHZ^#y>#{LnZIW0;f(8kU(!(mP!BT#`0&P{$bEjpp=l5c<S%yp*IdQ=d
zwBbaN&-81++qn+t#e}D;Em*p7ms!>1MlN8#f|$bFRTOs-{g(mnXyB?Mc2bjmcy@WT
z2sZHCH*(MVXvVNudwCJ&>nZG|wgJT$QmxIq7;@Yw@>JJ*^5cyG`Ms>fFu??;iIlWW
zPcgwm*Cmnh9jm^^PBbjw=rp2$A%W-h`R_FcSKgbiXxzU@(f$LUw$U9&5>`&C&pPn~
zl5mIfJ!3$^xs45Ph=X5X>II;nl&BzqPa0To{$I$H)R!9oSq{9Id3i$<j=f$y9`>p(
z+=Y@>`gProZcAe^jUDZR-wxmCa@whhW;LRw`R%$pEqK~)sr`JGeBp|$y0;xFDDK2K
z>MTZC0M#(nlAOgRD-j<tVRoFemD-Dzi<Wo`N>ty*^Gyc;sfGW&IB-#pJ`>rHIhW|9
z)ui_grP`PT^;K+_EeuW$1{5JQfl{~?^3g<sueVoOT-=7?ys){c50)ksnwckRKdha5
z3OXF@m23MpU0m;p?H56!-+EV!4fY*97gtR6S7f~>GE8uM<Nx<>j-yIT2tB1T(@(S~
zL~(eufTD<(#L?FFqb2hULt+t~O;Y{A^Zv(L&2R7+sh-e>{xa9`57Jq`wh^EfFArJL
zCuH0i4V-@ak^Wh`j?)U`|6}SM*yCWMuF;8Y+ji2}cGB238XJv0v28R~<D{|CsIf6=
zlE&tl=Y7w2zB4~yu9+MA-h1t}_8O!}xKwnL_~Po}d9A}^XkRawO@NO4=jJj6qVKdh
zv=y8(!&E5T5vRI@Mg!?n9LRk+{!>^%x!ASVW<Jz0;alv$0%o5v*Z51=YjcCPnk>c`
zGCA>(ui<-8Bx5=J<dUOsYXbshVt@WC;A(O*mo6R-8SHd0D1e8S#?71dISW)g)HFVE
z)Ug4!a(1=)EXd)ZYshM@|M_b8P4W&ij#^<4r$5Vm;hb=Oj{{28y@%^X%Ihc;;b|zW
z-9kU?HC#(84dM)EEbd_fta<5BrnImQ<ffIUt-OW_J{LT}P-%mw#zKs9sE$7KxK`1m
zCIc}bifiSKkqDQ;t6^$wUUCnHoKni87Ep)r#y}^NMNxLN{+Ml2c_RgW4}qVIUVyY5
zjxz`Ii)WzU80{5q>oClYMdvx&oXsb(ovHFd`aT+4%|n87#zHpCL5oDZdWGs*Sz%0-
zyp)zQUHrcsO6x2h&af;sWY8GI!PTm^vN90iua1_|@~vxDM}R)ns8*)=bI&y{!eGfc
zvSnrYZX`_VUg`{6-Gh;0iI(7|CADAI>j#T5)3liDMj$V~y<47aDNqTj;oc8F)rRM4
z#CZWLk|L0<1p-;Ktxz$qYl<y9meLH!)m*|JG?1l#kn{Sly|J(7w^4#B<kYQl@bLG;
zt%I4BRu#RsXC}Pw%I85QYmZ)w`}|nWY_n5R7FzoY#;8^Du+ErdBzZbe&ISe>15f3!
zFpw@<9&5?vhW#o4@{$^%NyD$$$2PxgnY*(M_~H5|G(`HvRGotaRyH@vwt|BEOPgwa
z)1ZQl*e<=Tnjmgs!ez<=0?xd2+Cftdzl0s9yPQ{!t;;H)`fsfHH~4C$)sYaDekek}
zi=cZ*UcPb6T4n-6-Y=p)fjc5DxfVphSt9DhK3f*WKiYxoe705|*NB+R?!xb88ak3{
z*oQ~fIgw)<^+w?w=`^~lC;3h5S#x^!%K?kOc^~^;{ab+LP&9vUE<nb-y~CL*q!H?H
z4pT>OgL`SmC}SMY6#_0<tvs`x9@=<wR`sj2am>~jV1wNGO@u-~@KPG!c-D)SAF-t+
z;dZ;x99N{t8e^1qxuir1?O*n0ks_-W?y(#J5wa9E_ch^Vi>kN4aGnYR>KmV(^}sO)
z_tU)2AAQ{=B_7Fy{U*`g#!WY7S3ORBq`Oh%O{C-aA$kM)FMz7*uHDR?p6i<1T-m+t
zppX8X4m2FFDWoy%6%zml+^}ys-`EL!+*<z4H4;=;T3Wi;M*{edkg^1BqM3s+hQ;QS
zB(O+9RO~X-jjiu#zw_Z=94-qY;7JJVm|HKJc}Bq8@r6nend_{Eqo!|kE9<b?&)&#<
z0WxRQi2EKhWVO$dw#eY+JEfNqNY0yI)@3#sLm_16n8|&q`Vu*An1E@#D2e)RrQFf4
zOZL-ogMo@lT-g$UL~Rk#fqy9VONediMsVbEXeO@0ba`_)r33;17kFu*SZP{osji=s
z8gshv_Jnu&yf)17;l|3{W+GHf8aKutZ*x$sh@l|w=$L-`Sp0=<sx##Fzl#`-zJBx$
znJI_KP_zF^{NC2GsA2b!WrnYpk=4_CUZz15wdcTVg1PuEwb{?DiNbKTISX-U8P%`(
z3|J@aEUr3_J>zXhS^0t@5>ZSky5V8V@(uhrrIzG88_(nj10y-CRb-iNsCR1Ntk;0u
zlx|#$EOQppx3&R}$9xvkD1a-bSOP0^?%FYqg|0b%`vd;o@d%?_c;FWHXrtG*RBD91
zjRTXE`h^DM#4MJKn)UedJZ-8E^c{ajG`JxobX9)FULrx-tEp%AZasP13=O`n1k(h<
z*jNrddYw?E@T;fld8s!sHMo3#D$C0&a5E2$Eln;ZfZnp7<gg<DWu_ydwbn(^=}bD-
zcXxM|U{l&o+GdK96+X~z9&eptr#eAZ!Txh(g*4!}X9PTMfIrik0~RnUom1p5i3%Vn
z#x~@(U^W)?z~)YoVp;htn)wpm>wRAK1BU`@Dsyjb1@%kRo>Q97Y5Dugmg{@US+&B=
z)j@vup|JsgfWQuZ%_Ce##m*(23;tz^98lI3UQe4BV&rv39oXDhO9v7E;dAz{v|<Dt
zUFO(zXS0`sn-_%6--d2iyB~!$X|kxth^e9@wHwL6Qn&03%)tJ#8bH^Ce$V^twJNU+
z$yI0ZFx_|?hC_zLIj_`{vJh4Te~0V!U`E=ZzE?u;MqYjI<%%>TQm$s<AS4LDwQz<_
z{{`6jDDol;{q0g*TOaX8@&{P9>d-Cw(x6D2D5GtUp7=h;rOWQj{Ltgqs7`-~GK(OU
zcb&C5#4A#~@y4CZLQEpPaRv*pnSH>C`!z!B{*LJ-qnh<2R@J#45&{P+ClA?(lKNqu
z)=Zp_xKCYc*~I;S7-L3XoHje?z@y(LB#M7y{(p?Ifp0<5Y9g>j1@5R|Q*Ok5Z37Gy
zDI|VSqC?KZ8I58_YXQIeal4@R1<)|ydc+E>d_@+Ej?R!lnY|Rm%s=Zuoi#$;O*d75
z#`{Pw);E2hoGn9~=<Dj%9I5;`04@&A^AB}KauqNECvHnzw^d}yU@=vE8A7A^b;UUO
ziTnTRlB5*UIJTJgr?x`u2Q=a<luSIs_YcN+`UFPd&GpBs22S&v!FY@@-$@M@L{AYu
zbOh!>RbLK1NuEv`0u7}83-1UNG%#PjItP!FFKv*aVMgUjN!|sm1(Z{=Y3R;MfF`)=
z#}euAxB}1FZN-=GiSpHSB1q=??DfXrMVG&z+>R}kRM6uE`FV<Z^<HOKn3VoXUKVR2
z@`347lm6&O?lDer&vU1DMb5Dk7u8m_>woywYpF-Z`&=$Nq<xm+u^C*=u7sX4hKl?r
zR++F~btVrJ1zBp=HCpL5pfUOZ!)JelcRvkCv4xBAnvRm`r=S7t$f=&^?y^6wq>3=5
z``g#`8(bI}JPN~<ck!+}1C@V26<m;d2}MjI>MT>(qr~3%T1$m1Juzyb2a~MSSVUnA
z60#Awl#nEECsVg(O7?P>k#2#mNqpX&rV^nxYxu=*|4RqKWC0^P*YL2xu`A88FL*#!
z5JaPb{ycqkN&YwSidV5<d06!Vs3^YdGD`$S%d0%Xm|Vl!6S$oVLuXv-{>G$?^wSkX
z!uy9x>Z)RVu%24waXEhKj1{9*o4}$17q3&-hdUna^gRRLev)tHO#&j*&)<9f$m%(R
z$kvb!N+Yy(j&t91_^XL=_{2{f>nHl;JbuTbDt0(Zr~pST1lB?kT$FSgZKwuF87cai
z2{HZOiE32$;@i=CN3{1$+eHCKZQqciQ_jDkXCufA-{92bt(R0!GD9IGt5I;-(lfj(
zY2jz^EEiYrLZzaAipGE$0(U&z+$_6!CbRsX=k-S2UEpKR0nmZUTArVGjnCv_Cr14w
z?mq(<Q<j*FPqwzVd&7hcOaNFdfZvcKB*y-uGTG;}q4awxFW!LVv_XLs^=uePnglwK
z6YXkA*$J*%G&cvdd>JcWoc91o4qx5AmcCP{EPj89s_Z+bzk;A7o;S&dfW0jAW;eIR
zS3lQvZdev>H|F3RiZeTdj7V<DRZ6=4_HV3~h^?a^2ID_QcB3m_Gi;Kj>hR4(Da*17
z5^Y6YfQZ;3Wdxu|h;8xq!_~!mtrjVw?7t&U$?drl3@R!qrgO?=Qh<aH%$+By%b`qV
zh)#E?CkcJF*bHR9e)&bSIA*#Kt<dq)P2{;fyV$je_GLy#K7|hxV^mQN5bP9;b%e(U
z8pd7;UT~KwQHPh=XMqZ{TCIS2%VJ;3mF{wzwAJD7@oBs)cSQwrp%VXH=CIC_a|F}U
zlhI33Hpf6o3-R;%Uyz~-yIx@Jd^%1{@*fZ%`44T+_&a6fxuivV^=$~MB^SoW(dpmk
zNHT<k)95MPfrT?EPba&Q17IKHMNE8TSffP+x7qIaBRT36#QtS`WPq}=vMl*8IA&s0
z3veGgtm+%GlUY*iU{Y@C-g;ItIw9)Ck_D!o#$Q(=K2FKVFjrcd=6affyd;{#ozhz2
zv>&5ZgXZMiG`3v`pjj`}K~3&~gx^zrOe>{7vv%Yj1DM2?*kyTqYfdOIm0zrp;fFO$
zzIe8dlow=RijkjK1opoFfvDzdBst^*r)R$f0-C1`S60Sa-dv5TQt&JCBcQ!%p3PnS
z8d|u@I~wtip7mC}pYTV~SVo46yY{rqkb^c`(8~V0jyOdg=A2S4X$ndLBhwFy-Bp2R
z^NTBFya!@EW-<@g2gqXKUoINsVxZiXL0lU&uhcowtp=BV<E^yOZ0XFJ!kd)~S=9lW
zILAfR>~N1Fr{ipy!~CZIsRM!&PIiJD!Q)BVlK_jX_SD;?@2^piBe%b^VDc}Is~Ilj
zMX(CWT*>JMsxa2z2rcxlN8Z;(Gv3GHLq3ZLdV*Ph?giHwbLHB5qaLs7%-KtfX=p=s
z3ASv!Tk{e0g#A$7H-(-i<C^xM6nfaKaeYXVJbz6SCq#n{i=>bqN16DQ|JPH?HfU0q
zKG=cSLYA7g)U6Nws^;zd)o+wqq?WI&I*msxHBR~udA-QbfbIdvS$XmomXpUUUYg%0
zY=!gD+uwZ)t<LM{k+JM28$ti5_*^S;JJ>-j?d5synwp10a`h}=#&6TYnh92i(2}{m
z5za%8C%$a=tnO(lJ>NjK&ms(?h4%5cJg*&==AjXKC-D+!at23U3gHvDew~e1f%i_i
zym=5i`jvmL1Hxb&pVipmI%1j<p_Sg)00(1^tx-mFgQ!Y<;UD?Z@-wW3SydNiF{uu(
zwr)-JQX~q9y^H_SwM1kQY-D5QI07Lsw+quAa&XUuvhJLe(r@Hrj6bNfveM@FJ@@YD
z?hJf+k(o#O*lPc4Q?$&=lIcEaZAYr>kAcN*RvHP=1x~#Knt?0IWgMj_(-yFSfRbSR
z3Df$js{w0BQM#?dcKN_^G4<dk&LcIYF${x(i6uI2v@2?UyThL6!{)Z~gF#<jwim*5
z|B276gB9OEFBA;&G&%0mJ9hX%M8hjdn_hPaC^gi$1<D@BlTj>7x`!2S4Tsz(eqLO%
z%@J`S$Bo7J4;SN9F-G@t9X+p&D=0!}yrgwCL#7?kR?s+-6DQ~zZvdyi{>;h~_v3dR
z{z$a3Sww<M<o=?Gv$EPA<Ayx&_4o9j4Ex(qCd9=q^-z=8x|n<oYib+)tlmPIFlrHf
zQ$p3MhRi@V<9C@7XGgW~v=u;k=8YEM-{ivN1T`G#d6)a3TC=IDs<th-O#2z4Fe`-#
z_WIFknlnGk26qKyTs&M$Lhrc<U%|eLX+srq-gV!wTvuKUU@e3AgBW$*EEIUq$IcEG
z?R9a)PC*X^#Fyn!iOYk3%xx?sA%8=8`C};8aaF1qhQf=FbU8Y~lDFZRF2Qv|NJ!Sm
ze%j)A&PJ5^VQfrb4dZ~-B6L_|-ras|S`nHr!Yopby#k9`#dWIe$APK+0lTa^mk~$@
zGu|8Z;Hjr)7$jQCh`E^iFbMu)`kynM9izgpm&RyNm*c0HQC{z2>?>3Q)zK(%6+TXd
z#yT`RyJS^@3}7L8&r>72&q(b-J+3mP0*1gy2X!czQmgE}rio<g@&ygT33(g%mGQp}
zqK}HMY@?G!<&Ovirr=v^2)@rj%=(nTBVWEtI{EJlX-vV&E3h$500O6v73EV?{OmX4
zT@<Z|QX(eB>njsuXxG>*L=-7v;^`;weJZU{xLVpVR$e_RVjrANzK};k4qs4rJDwwn
z%X}QZ!Hs=vBo8u;{0bH6-A+vhwZc{q3gt{D-QS>6&#+(xQ4ru+=<y4O%hTZ4A*#%`
zs^mUS+y@Ua1mB{Y5?l(2fTGl!{EqqF{{6^Qw~kk+b;p}0n`Z{)bNWJ~7V`b8()=b*
zO30-6`(bG+TB;|%Bhe|){uz&U=J_u$ncL@IektDuUMe=Wi7PB>VRca#JKk3BpMJ=6
z213dl!F!Ha3Y_Px!21Ui+u>h_<v;VKFhP*no6*Qn-zu@VNl~el40-I-aU#Jiq~D8V
zqupcO)c%2u`1*NKX^+pZ%1d&^$UK{pkd<@m5d&wgZ07{q!s)fMP|ec+KA{Jtw#Yf*
z{t;$=R`C^%zDubYr)Az8zkdHiEdrEN)57f&i=8RZFE)+`0YtK;)^e`X9Fgf%6vW~)
zY@%JnXnYNZj0k7$f>UkPdy&pP-P$u5hm*(@MwYr5-}cgbjWhSe^zE;RDRuVMe2!|~
z@x(^SNpY1O`dj=T`2Q$Q5Q2UmPnKwHB?-%Q7W;r3tg4V1I-HN6Z>KLvYUQ_4V*i`q
zeKb|Evw}&cW8qdh-e!EnvzU{CyDegZVUN2QMwA_G%w%8!yAmPo3I?XTJv~sKn$Vm?
zPJ!H2X7W%?Ya2WQ=#`!Hug=NtY`I08J0_fEc5!*P0)gH9=ZIxbQ;X#+u^tyE7kBiv
z<P?B{AHuHjYmUvbj>Xo(k5!+ep72x1lSg{B2UR`0f*%w}x?_UZ_`hS!XFqK&rw$J2
zXIl$T3z82dN1q_wSH(IIcuX<JY0;yo`Bq7@iBa|3=!oRVbGIxXH!OKAb@+McCQ?k@
zvWOt@p?Us14X=(rGAN21Nj5twHebBvly;xKT2$Cnch~s)vD#VQ-@Z;<{H?FAzo@VG
zI}<K=9J-8>D$`X`6+qH4j$GQY2oU|5v_6_BKcmc0TkUs>C}}hQGSOpDKO~KXL`9sA
zaG{0(W3t>9zvr8&vX65Hz4J0H+hjU>|CC3;JbRE#;9NETGr9Y11uqC0`mlwQMigC*
zceQxm<1DmH#f8J(Y&tTJ!P08F{l{%+D{k7_P++@pRA;+!ZpSYBE*U3&iL)lNZf{&%
zg&q<4jKKc6z0Y%_sp<`Cm;_(CXe4Ck;a^yQ=<_k8E3h634|bd+M)tM@Z8J-AwKMWn
z^y>SR1;MK|v5sZ=Ui>+)S^z|mno*i-tr?I&cYog#gp{HhbUG%w*=9P6(q>H4hqf6$
zRjD-GV~`SuoX2S;G5AKTEe95$qCI{H*6ujal5@s_M^0C~V^R#R_}LMX*0MGOT?!QE
zcg>f`y~{L-dfp#4wg7$*!5r4vgc=z~4uD{Eb-T<jHuPeqZ63?sQpCyW(5y_UV~O!~
za!!4xn5l4VqI-1vCCb*PI1w4tEm>^_chsfPJYdK={Kc!$L4*zeM_P_yaYGFC*Ts7(
zJ<6NVZfgreanky15gfo3xaihZGt5q^WgoVwI@%ebv!*G7_C)TJ-syW(d2ObQ@VyKA
zK)8CGxSV_RV^{7!yK^>qd-_zQ!2y=2D-y<yJC_cwgd|d~c&TMrp@0p&LW5qWw+1ap
zv)Knb4{z+wekNVW`Il(oLLa1{XwimKd%<|`LB@10aZ{gNXEK+^mhw>ZU2tYgx!fvo
z(RIS(0hL9Hb8vt^ZfddLyr{BWp?L@!xlp!OeddP;%c>%4lO!yCag!|=jb8&|Sq+DO
zACVUX9xowXccRfWED@z%Hl4>3#APUOg-Qz=(Amh`I@j1+zT4(?6U2Rmnl9icNkzG1
zDj6S*@SgcF9ej|+87lEIW}o%@AeU0065yKm?c^Fg_V2Ceyl7^?+udHXF0I#+SiegW
zlsuIq-nMYAUm1O0jflHNrV0gvNmSv?7Qnzb4lg)>8IRlO>J~tZAyCUBpvvW_RbJQU
z6{X@GYCw)zoih7)bc&5}KZvLl@i}I6{F}pYX<;*{dhdEoa3%ro*_h3#XEWz4N(X**
z>rX4f!S6L*Tcdv17|x3I!3yOAzJUleTA~?}XJa(6q8rU#69bPGtwa$QG(WhoCgwVE
zX;-071t|puyASc%S4M*ZhaPj0<WM?Qo=08@YIe!PxW0m?p(aG89L^?ong+7;QwBmH
z0zObdLqcv4ZX(FU7cvnZ<-pM=^R|a{9h~CQg*Gcy;rG(&^63r8TbBv_z%m4y^BwHY
zL~v^{8eX$T!qO6@MVN6RAa0*ae@N|d*veU(aFBom{FoI4C0Tv1Dx`zbVZI&<$alI#
zwpEBc-w?!vwV&VkuNK(s4SB4f=<E)y#05rJQ}2Z^loJHH%nwThoc?j(2;mys@;pe#
z<5~JST;*`nYaB+IZ1(VKy?bFRp<IySSQ}ij_i9oA>JV0m+|OkNkzmVB9(c2=+<F_j
z^V7oHqV<xleVH}pxF0OG$93vq4(!`fG8@d|kXLg$f`*TQXFJf;894i&tF{D99xjBj
z^~MN2^*f5xZyaftYrc67&1_NW>CmysyBybzDkuD#+0AbJ&i9foVypVrfh}I+n8cl0
zkW6_VXJX;zzbZIO`DQI_8zg89h49bk2g(h%>B+LWebOE?>51;Y)pFXMgB;Hs(o*c$
zUXIIY)VenSLI<DSp%yg{n@#tDs;BYPBOvoX5wm#{=`0F#`_`5EDNa_!r&*}SU7N%J
zfqxHc6mwJ-gR324UY~HzoUO{7?<&-(w}Xly@u4fI14*2n4ZP@a-Yx3zwmWE4DJhQo
zXpG%Vc6hU5=W=S#Zv4A>$yF$*&Lh&e{d4X*O5MNRSX(p}6s0(QzS}$os&Kow!b<D|
zA126Cdq)3KuJpmm6Pm?=jbS1aLh6?!Ux~#IT5%|}%9}|41_m1I4RSA5nj_1?cul2e
zDuJ1Mq9mmT<G14-7YjeSZfRA4{ue5_wh7USu)t9~Q5B#xS%*M@twu`O`E>wVSma~a
z%5<5*Ak6>a0t7QhuQQF`mi1<+!2S4|W{I?7B7kG^y83Tu3%JC7t?<A5WK*{Ed<!xG
zJJh4%;o$ts1=}`KA6$d+M^czZ;(lOBNlEAE0l3~YfhC7}`nhx2J`2qa{goLg^<zCj
ziMVHoxU|}YoL|!sHFE_ALgdR?pzfDPZ8(~lj@yJY3(NLch2Ce#%-P(AzG>HHLBZmM
zRRC3bh+5P2Rgd7_Ykzz~y+f1-%Y2DHp&%{V&dc4FuFvCnS~~dIc`sjNf2?@aBjrUb
z<P?|4enYywi2erhJxr@zPMdG)3HF<t*@t$^bNAuXi-n!sMPy<n7B`=T-QAO$v<y!p
zkC}8~ZIuyxqL}o4jn8Nv$0ky^&$TfIs=5osO8!IkpNPO>Uq)ZgV|JSe<6ZgEbK`<k
z#VUggtH)RKCs>cG(x%1l5ag@mOUMb6IAViM5XSWwb8Tp@QW5l>L{V-(T9b*IbIG^>
z=A}}TLNVoFli@Ep-XR+ux~njVvz2>uc>;9pwP!v|Y15~!m+=dFmv$7t$M_Ni@wTih
zqm~9IOgd*jx>^lh-&d#Ze{J8atgO_{%=RF`+FO7zD?PoB<2aGCV`T&_Z&}$fzq#fs
za&EIG;JZZg!3&n2bQC0Xe+S2GTEm}oTjLC|0-b)fB<KZSZ_1I;X$oYl=1|(*>vo>R
z1Euc0$h(xc@n-A;Dn;B(BTj;_VxOF2xuBmxaEU@Ls*bM(xeaZav+H|{kJAG&R!y5p
zwDqk%{v|}nXtZYoOr1@Qti(fm9jQ?6Q%1aocD_LJ_Tyjkuoh(seX`6Fv_r3gOL6P+
z5f;}G-I#;{-;%4<sfe<?#4mijA%Yz#yWRFAfPE@CTn@iAulhx&VF5y&)~`v%yo(_`
zIqxe7yd0u%0at`mX?zH-w>WEBeKwe+i9*yR^WK;4DnCvJ`9(O+>}y#?BMs=h8&CI~
zfJk_f;Xsvou;xFDPCiBSg{uO7YHG^i`Z)j_08inamXV>2Kc|Ill|6Rgi!YXhep6BP
z@zY@iHZCsia;x2W2NEF4%*JM7psQO2xe73?-?`igB{ro()4TG4<CE6lWM}*yIhb;S
z{Z{5ZWVOgVg#s#h>vCXQyd;OlQ)UjAf+rNDG7K1&fZ}`~MBq^DVwNAjt+44*8tWYS
zo4v@UBpRc{iN3WkwoUd}-TOCkDME}q#nO4~n(IftWAvj+1{6QZ+Z9rwlCI3HIesdL
zM3iSjDx9;tK6E953Ox$SC0xVBCtYWSXizPFoMd_ZB#dK{9IHU6lWK-<%!Qy<y5k_{
ziyO8jM01)3!HMA^yPut^HUr_TtWvKjF>B+vRWjle##T&PKW7^DA|shB>;4N<<-rS+
zY=Xpk1SwaA6mc<Y!JW9blN*P9k{ZnA>2l2qlw67_Pbhei{y@pe!Ri|tDnUGz2Js_E
z<D416s%u^ivKMdLmdcUX^C@3(7$R<8!#qE|1bUx79{FEC2W7zoxAe&7+8my}Zbt2Q
z{-VW67%3ZUvco`799Brr!&e!Sc;-Qa!6YDFI1<Rsfc?bgaFJ3_ccLlpd>WJ>7F~%A
zdI=YqcP)l$a6i58!bV{w9{5`&=@xCUgjf%E$v)WFHV6GaD~F(XWTv!vOo^&$J+5p7
zgoJ+emuZD-fQ^y!*%?WV9PU2ZkBN91^A}C(MAS2+<e8kJ>@bF5l_4(SjFkQB4x+^?
zg$0cq<~TGW(xHWGl-lBp8k1c-eGuRoq!Ifmx!}iUGc;I?>Z&72sM&(GHtxB4UkreY
zuktwIW%b6>GRF(KHWfRWPMzigqsJgB+xcIMy^+U90v6S`=c9xo{IB|s0>o&O1PW-z
zbXnZ)0;mN}U;cfbZt^3{X&J`C;-QKU5To?--`VM!Q!_%(;o;}EBi=0FQLw2}It14D
z=bE8yAJ=c^DU_w6mPt{svl>bjM^Ysh#479&3~U`g)UZwQtG;NOW~Qk?wM2jQ+@sXl
zONNK1u+4QF7$>nb?2yBBvYCUdt?kgX;?rNr3y9z!ezYD|&J=XFok=^duwIiYa4e~@
z<j|Z%U?R1p;>4i!1V1wS>xvb-%?$fx@ZQF`q|#y5L|N|3Ru3>RSsb2}A{<Pl_~0<C
zu_vD>!+(&)xBZ5icZa3t$v|kx7Z%XRw~V1PAehH4;``l^M7e{1Xd+kNAC^;p$3;TG
z8I}ldO(si$l>F7ryUq0<jYecQ!ru_SppVhRIaWg;w2;pVOOcVi6U&ET$2g^-I5SZr
zx;DKT-~4KZgl8ws8z03!Z%KbHK{ZPb%bDw4g>6RR&o5Hg^Fw<m$t)@?EY$uAvDtG-
zNOvA^oyT^`r+!&}*=GuSgBZ5D{LUSy?yK9r+f-%ivJ@mDxuFpL(1QpODxBlo1Z*VZ
zf2j#wII8=p8;}ph_S3#_u!_=H59amD1wF7D@(q+-TkL6t)z40iRE2D;wE(6NQX#5|
zwo`C9>vos5DVYg73jcZHQczdYL&`wPF%LCxZTcORckLV?-3>lchm4)O?DuWdEB+N)
zE4OvoL;q$JsDtKB#2JESB#4!%gei;IF)rfNwOQa4)x}epCN@XKt$3;jYY60_7eDH`
z+MR(7T>m=wZfXRC9gi^60Ueny_5V9x3r?>c#81P<PV2-?5y<->Ab4y{haWxkbzKC;
zAx2B}H~0RYZ1U#E6e}S{QAuSAJd9-W_!UnuH+Eb|HVbsV5cyc!a|(+~hM3f~HbRZU
z_^aO6F-|JeRbsumE5eIciq05E@6$rU4;myK4t!vhL9p}$*4%=l#4fEK5oO~E8Mifq
zD`4Vh!)TGUE`Bop0I%o=1iHki&L5s#4+kBYGv2}FOWMRA5f-i^tw>zjh4d4~Z5YT*
z<8xx8zN8^y<i6_Wc%_)drhG!1-&|ZjhP0N-BC&@h@K|Mp;5CGU&%^~b<%I8BknpJB
zFg=BRjDVya`NBgTKIRnGN;sAg39JFIk`oOrZ1}u)hzx>!_hr+FoIU7-21$6gNqvqt
z!{>B*?l3>n*gyZA869;%2=_vP;&m$G&PyIV4zmCI>r3;S%W;tp1$$015=z;-w7c>!
zX&g&mJdwS*3_I}E!w0D)=Giw<2xiEsK_yZ~9pkW&Uv`##JMp<)1pOnMp2(~b9vz4s
z-a~$W<)LFD9~z%evg1FTa(9mZ=8Xo;Y0wF%Cr>A|)FYg~m}^dZF7{%_C+tKU9!c6i
z>+5zVzToMQBVn|9iVHe(;iaM&&8NHLl|+#t*cLPt-kfpSGnX5nmP)DZEchIPU7LwH
zF;5dKiT&Rl@Oq$tv;fUf3*>?I>kp(E@^4t=lBN^1!#I{25xhtW3&o+bvjH2DW+Niy
zy-0X!K#~IzPUp*(x_n8`A8JsrVhErQPyr%LI#RGz;rmWRTwa*c7nn<z_TiDQC2yKT
zF1!OH^x>MjjQ_jpfmJRd^6Wz=@@s<l)B0N}Qo9q)nDgbfawPSSEu?!%C8*v+hCt-1
z3DAQQ!PwkS)U6R2q}6eF3sQt{)6!p$Z<4z3BZ?r{0AQl`<k!Vj*b#2nE_`#jFLVFz
zYQCcH1t5y2M9w4qtPxG(R=bM*foHz=kJs|Y1302l<=FR2UlawApMZZ4U#LKM8^C)n
z0|uBho~T5vcXmoPEvDF<Xo13#T?6byI5h-{u%EgL`^Zvgj`p9R>*sTY_lZ3a0}U<7
zSf#__=EJAKqA|0WTlwz<Dr}mQ_$uulyOVaQk##74gF8feSUJPLy3oIK8UZb<Bv-YT
zFgjeOJZ%xtM|GWKIW5IBQXOJvdu3G*pm>eV)(iiB7ujqVMn|-8EZ~m1F{KA`@QfLi
zAvc>2g!<FSzn}&uLVP8#IHQr*SJ&6?62`*oxa@lc*I1Y4qpKi50JIos@IiRea&>iI
zr{Dc46@H{uY_-~#JRK%#yqNygaq9BFr0}KzA-Nmi0i(k`;H2PxVo(%(58S0G`(x+b
zIeQ+G5-d+iZ?U`Yw~Il3w_>z5&xbpd|Je|F$tn-wmHAZ7=R&r7n;$eFJba6<ZkrXU
z2uF^n$aMm(`gb7UcXjBY?*}ogLAAxp<t7vCq<$w94Ras^8hLdFio+k<+uIW`Ffe#n
z5()$s8(=%m3|u_C%AYDsjEr5&2iL8Djs*0Zt2}=93gtqPK+a$?&e8AW@(UD&bKd^e
z7xePs>G0B$34yn)%}5Gs(E%VQmxXayv+DnQj-BfQEXG3294E$M%b7t!0Vxm^;8*?`
zAOSBily^{D-1O5ymuS~~*mQDuaNT1z=y6wm%*rk$hb;y`#Hb1ccD(IDQ=K41GNb)!
zwA(@FkpU_x&15g-7C6a^?iHqUBsNd~OiQ{GURQV|Rh|PR?H;L3e)WAZJiYH`FK%kO
zh5_6nP{b)HD)OeKr!&yd&`|u^`6LXMC9v38{}uF^s8JWRHyF`EVDSnO(B9g5M^|26
zJ~J{h;sGAdWA<z3R}A`1Vs=-iW<RxFf+MmGlOZy93c(qnU_KGh9}eormodGqkRpc|
z{Jo_A*}fC-6A}ggT);;pql!yctP~8P+xa-|!YdgK@4e{KPU#7pnhWD)Ts&qpEMSPj
zxAs0C2%e%l8YCD^oH|nhz0Hb%URKI7#h|O~ZQK4BCXicBwG>h`(;K&ZW?5x#6XUnL
zvz$NVL(whNhXs|}=pP^+41Bdl3HU40na~H((^f|re@167?$o=HobX?jhqNmWhzI|r
zv-mM2M8pE|@cKQQ+v6F<oK#0J_nDKzk|kIlydd6c*>7)eC=-8j)ub2*ZBqhks{3ea
zCVP^jb=tL2y|IX?2n01LqY5rUd_;X*Z@&`@EoRxbV1l231V^8tSchT{@Wa6f9|_Mt
zlWPNj=y&7Bjc6*17?4^GEMYCZU)uwx9j5Ags}$YFjN>pb5TviwXHne<63FdrURmmy
z=<^X=>}BQglgC-)@|gHmR3c_YK|5+fKfT}>9rEiay5Lg2j>{AV$zB4q&qW;d&QE@r
z8UJeBOmXKNNS%6oZzQ~|$UfXfiArnz375v<abH<~r%<(RCFY>|>q@s?kmZolQtxBs
z<oFg{=mTstj~)z`;b&$(E?b_F5fkU3nF<8cN!>fFfN7+|myegqZ68X(A-=(fpv*r7
z-_y?dveJ3tH4k$(ouVxHeEwyW-2dBpdOb!IYPVy{sNDklh>zCh6p!K^S~Yp$t%aAU
zzkp;#FBjJTdrEM6_=B6NxNZN=*16K@NW)B07Keh7xh%<l?kJryxA^K@m9Gd)lWR)L
z+?!#QnA(PRixE^`%PMzqeCLIn#SxOuPnbi3IXU;?_WH!=kL}KoXA7|pK4<zR`YJkw
z{|TIK%&6>jT93`Pg6s0NWMFl|N?3Ufv1+>sHD6&!h*~5H+_VP^TlzoQk!zrGT`2@~
zKVIpE;5YDWVF1Np9FNs79{HgGpdWuD{k&5$0&S+No=|LojL~A6y0XGzlaGu&rRog7
zG$D$q8@dS^I!)~kPQvGXW~NGbE3Ft8vETG8j|(4htS#{muT299KM?SUjA=GbC5=G9
zPZo`YN6_zbMsElJqcV9&ahc58_9!HF(k~S#3S5POKSf=PrQmFkJ8`XR1iqd)i?~gy
z8G(Hle|l_S4Y@dQMN@lKy6p`DAj_<1lBrv&(2>s~o{#H|Yd8I&sV5?6li`ypApQ6n
zL1o6p<piYp35cHGt~))9MqK@4VJ?#OQKH~bmj$$M>b8P5)%XRYu@Q%asR@%EO|U~6
zO6qFxx>fQ<a&9cL<9AE}%4Y8qw}48bwY1t!@%AVVXhZ%<4lwOb2%;YvKpw7ZKZ-y>
z2S$*2Y{1thp|iKd3J(A%Z+-rFy$sqJj6f>9dk)|hDRlk~x+MX}&X@Q1$DJT)eclvW
z5sxXYEwLL;IxFN5m(?UViuS`l#e;pPevSf~!X-jJTE_ten&-qq9SSe6Vfe`5Q7rZK
zHoI@^>~G%!Paldb^IXq?<uRD^Y#SLuU>u#2|G4XLP}*yc(Z?O&ODyU<E7qv)-~Ps@
zeJ-Dv>%H7p-8x$dwC3^W4t_yqtmDe|p&<!RTe|1(l$qP3woBDIslve29c5<tfgjFf
zPsHiz`<q1dL&PFI|C9W`A{%u3y#4STuq9I1U;z${4LCSBfqVvdhG0cRsYoH);q9|T
z93ERAxxtDnWOZ{Zc2%=w0UFTch)581-x1OGQ|@rC^Gr6uw12m*WZ@+1%*Axo_f5&M
zyQu~5Y(cZD?I*vgOe%s^aK4RJeg9u0uMOr|-y^JYWdE8o&V2}$j;{;wS3>=`r2Ss=
zW+c5(*Na#_=ya!CoiyBsJg~5^v<@4wCAx@3;pifYyHC`og~2B;Dk)_qHPwD%DP;?x
zp`k=z!5~)xdNX>ztd>?C3wSS_5ZjY5lB!}^^^!Ht;tUcC68;g%lh$gxFpk~u8Los=
zdCm~TId1wi3jB3H$3zu<Uhl351agdFAbB<XJeP~V@Mh0VP)EoSyzw`I{wt+KdyBA6
zNX-J~<-l*x7pkjl6LX1nyCfTRAZ`<j(c%EJLv6v+TK}mUJnL*MgxusTr5hqMmu8%5
z%>0v&NT(j0@5%r!r=u?H!A)~>D$#9|s6_b7$Q@(%FoZ8TH3<A$-B^{jzWObR<{K!o
z!ziDkfIy*o|L~v!#)vwy(A6jLH?%c1TU$Fi_)6XP-kxu5FeNeoS2CZGc<O%G@FjCo
zlY*RU^V#T-a!R0&F@M`Ce)BI-ltSHv!1e~|Q1&RM6?QGx<|dTh5b_tvV(7W};y#fQ
z%~sO0)g;;wwJLkg)%7DnzJN9a|C*?TOH#So)}`M^E(73Mj40{q3c))S-G<06q*s~B
zxviq<nPY|K%WNO5<}EIt4jYUZ$A{rkZp)_R3&vC1-hH-wk$~_diErISMg0r+*&MiM
zS=H47D%-pFeirg;@DwJdz`*9#Ru4&edHJf2jx6v1Hf<0Hv;$L=$?;G&2YQt&5peFk
z|I-bc&TcWh^BzLs4e(lTwNuH(3oDVr91%$W`?yjdsasxUcfn2~NcOT*kUEi=s2^@n
z!8f20vw%I{X6y59%V|-BCZ=tj0kWo=sL}aTzE-yrN^Cfecd=l4ppk3dj@tLD4bp^A
zm<ytc99wTY*)QMsEzS6;`aW<?7`m|+MPL*NRpp?#ea5hXUbomf&|N&#S&5D|Q?qpP
zoTf=)#$Af^5dvLIK4A{JZb2AQJa6o+=ArT+i7g3|iJB7tRhVacC97bm2w~ylqvomP
znMSMi!ZlPcqzT~y$}G{W0jLFbUn0Ee;;`bsiK^Cws)dh^j^Y8P>B5;ASy;BdYHL?W
zrB3z0?t*81wLe_$d>$wnIfDaHGxJmpga<9Nkfz*xSbNtG6xq|9`K9H!ZSnUG%O66D
z3s)5K(9I!E;gvHS#x{I->H(I}J3wA<;&2J>3PYR6&-F7aT^(0qHm7wsnQR&s^)i*B
zrXNsHVd9EmnTN@<y280Oycf#8+ieoM#Z}+__E$){vN3iGqA@TI;v%&;GJGchAy^7F
ztlu$wWW$D1^gK;gFs92j+*oPT60B+NY{zF#K8$_ec}#x%m8#HioKB{F+1FRE-0`cf
za%Y!5y??l9*;#K|%Y{#RSO#639Npz^7aQDpY2+Ne`T0#k?!8*8MoH)wIBN?7d?$E+
zUXk)tNbw*DR*m}@O(5~#T5X!3L#wE!lwCioeS4_ZfBW`6o24P+sj-<V(q8swDQR+Z
zw8XpK+Sb@ZJzfpBk#GefI0-)S3z|Z9d1eJhetvJp7(Ns#iAa3?Mf6jVdhDNv=~?&d
zxW7StZFQJ)ecg0|EBjZscq{s(8?JAy7mv9_!@d}ih!c1H-e~$nFsB>CGO&~Me}3tN
zWMrgy(Ei^81Jb90(yNad^@^K`hf_5N#c*Ye)&0i9LQMI!u`PzqJ@fCs3l<p25Mcvf
zjG%c*%$J<}qFKFfso^jQDs(&zX5Q^q!tIIZIhR9GK@cLXO>)SvmEG<{w!OfNDnW(j
zha*6!!0#x%pJ7mQSoN*3x-|s&*nGys+i9^Yum^p-IY0=(7d3&eR`0csxcC4UKy!3;
z?sz7bcS2Jf5gs<|6Jj?I(3ceR!WnWJd3-Onf2hyIbFsppQ$w_2@%CMY)zLvzouf9*
z2O1Dvc5A*E7$150na+Zv+w|IKF-M4^U3@wbK60bHhf^1C)VnXi11~#t_H%)f5E&)J
z6u&nR3ZEE$U8S&xwTBHIs8^3IEv>9!Z3ol(vFkx^(Wng|+9`if@tEUAtlVw`{9eRj
zbI5!ey-2^lrJ#T|MQ*M}|8Ppl=Ma2>O}Y3Lv)*R)YG#%_WQgC5(bJUoD{54wC1qHJ
zmCvh3<Y2;i&IVoL2`<lB!wJ~NBEJx<#ZRTFb<|6*t(OjFFUC4;r$x)0RM*t|^>%l6
zi{0s{sa@xC*`%0YebtI*^wF>g{-Xxv;%T{_mCl%wULN1fs#-jFpeq>=KTy&Zs^ohm
z5R;`ytDcNt=tAH=+V%GG03}b?rny*Di8WAN{!RGZj-QENTvu)0v2<4(dd~X!LUOQ~
z$%|}sRB|>?uVA}zj5EfG*5yixYMtf9OIbtexK%<&M^w9EBX_|wUq+|X#Z{zV>k5@i
zqS$bT#ex*Bw?Hl->LLUj6`Wdy{T-I=7DZ+T^I|`)loaXyq>+KcT^rW-W-W(Q?+VVV
z3MO-oQD(g9xo-+WKkPC*N*itHRKC?zFTblqPSx@tjJQ_2EEGid)3fU65j~!#i@8x^
zh2}$yAn1-}SIw!8H@`K^&wwcKNfi_nBmmlwV#dbXI*Yx=YHIVIz$O#UQBqAU?sp|^
zg25qCf8Qw!)rR49#8=t~&9mq6Rf|+*V9Tpz{_iQ{6nH?zE9<iZ!AjIXW9Z9+lThyf
z@rzxQc-#p7-1YlpPQH(W#<ObO>FyY1sf2^{UsPs)3$E(Ze3tL=FYJOt#tsI&_)wOK
zj>4pzy^5MTJEqgpv|G@Il(u<8UB%N*h8EN6Lk`Gmf!~Lm0*-9v4y3}?baSfEZg<&i
z+S^*rrg~)Ctg}i}%%D|ynu_+se`7yGJdatIE0qBEe8TvYm}_t45(|T5`pfIK8c+28
zZ5nwRhmWJ-^cXwCwF?ha=atZ7b-Mk@A<cb((2Yd$6)IRYUEbLVN;b*|#~*vJz0}t`
zSq3c)S7i7pU($ZPf(WVIzX#fxI%YE;cQ=82;&Y|}>zstDpUqBif3&E*i1!L}Tpio}
zN-jwfnEJnf!v8x+A(O}onz;^Glt}#MnB0$!26*~iuPNFo8#vBj+UMerx#msuUc}_4
zmLHOi;}<B<Bn>N&doBveWhy(%90NV|dvZqZ`a=B({{!6+T1pP&E?e^4g64kx0o}fL
zRaI3Df^P3$1Nun8Ty<}7`u6D#){+=y#5f=`;EzPc<M3y$Ry*_yx%!m(V45&}<Q;(Y
zuZKh%#9I2HsA+r3$fK`fT?AtzEoGg*Nlb<ZBLHL*@>HgvGB|0cb$9+OUXDx32x@Wk
zkad47n_Wd8$2HrwnKNk$6iLhB%?kO{rSe?uSxgtn5wez@4Jhi)s?mTb;e**^+LbA)
zi6_CdiyP@&P6Q6`3qv#uN0eaC8tpp$WECTVsHk~Qt90Ge{@VdQmDTTl+QdD$#hJ;&
zjK}XQMy}Ta0KZf0ck(i(2HzPz605`|X(8UTjk>{)C-eXq9TSfGEG?rRw<*3^Z_j%R
zc615ZonV?oipvp4&9pV&D|_iM2*oZH_6q04G=u}|8@NScH!0;)=(|Y;m49}A!ZSvJ
zv?CR;rQUpEMb(;BN=lO&X}Z7INN0t8N{Omv+tpRPM)823ZO&r?c8tz0jUvD5dlgSu
z%MIk{IuH_>H*lwZju#q^ZaDwiLMg%n;9GFjPEIrjpa9S%7{RW&#B<N2iIqsML1Dzx
z`^4h(rvteOcXjvOtgLG0?6pM|KcHk)Ms5QwE#gPq=N<@bk+AK*{ay&+=xOaFo@&z)
zFpi?nQ>vLU$?g)RyJ_?7X&bF{{yaP=c^}@ZvTNVY_1WWF6cLQ=bgb8T>i$dCsGaZ;
zc>8^9QbPuSZp{yhIfj|4oTQYwpmFf#yI|T#%=gk%30w43Ziz1u&TWy)K3h65$EGOF
z7v7j~3=r9wv(yto-K7HH&Si5|HiB8;Db(^i<lzAW2iHr_0ewM}n<Q3bDa_*Kj&gMk
zD!=CigQJ43F$*^ELHIX52Mr1T;T=_fduIE@^QxV3&=ztyxo0SPTpYzmt?iVvCeqH^
z8%kj5R4NLjP=RK12!ZtOIzi+&wInXu^3*p8J|V#zudiIbDEQw+Tjuo{EZeIz=!dS|
zXHOV`dB$B2{675H(Ap&smorLkqhY*#B*+X2y&qrD6Ki&r|MPHB1+as8juaWjO5sVV
z;G#CS#pl|5t=bT5!iD=m+;5e(0H;w$<p9s6pcPp`>#x7dfQ6*Wu3&*nk}t7%71-Nr
zpLy~4f^u|nLE4!9Tl(g+2W@U08TXTwXx-nVxc#rS?2bnjq2iy5M&dY+nCkvrHQ@}4
z@O}2qDBJ1N6CyD>kgG)xiy+#z?w=<T*>H=CTtT#K`{}vcQQDH`x+s?Pnjib8aTR@l
zNE@1D^Bj(cbTT#;yTi28O2-rNL1LQ#MIAIT)9kO@1k#ic;(_iU0AQ<ycaXIw8$A^7
zJ(*hMqgg=?;QP>xGz(-IS6q|+{ZuVadEY&vmM`0x-;Jj%_<y(nc+DeRND=&K#<|WU
z03n2`(v<rXvLn;*BrEW;bPqM7TX;hO%I~ylI4RT8(yD+Q@i}|;HEz|_Do6E4LTZwc
z{Z)iN38^mxFG=b#E`ofgzB|@b;~Zx{4IDI#wdHoDK5i?8OUa{J!6CBA6nQ<u{a#;W
zOIpmAZYYn<ADd|<RH;4~Ljmxu%*SQaix7)!gmZ7)V?*@qY%%4jIvC`Y(>MBu!aVy{
z1jf$zQRH6aLd-tdk6~=AiALj1PBtCc)*W=gF=G$L_AjREXT7wJ4dO%n)K&b`?v0jL
zo50raSm@T4q0D2pUOZ$|yJE)hVAK6<G}K!9ABK7&E+gpAle)%i*l{HZ_#PVF^tcTk
zvVFS0Z>|qcrE3j4Z<4C3$>MMW{RTo|bgT{|BLSH3_~i+7c65j>>lxGGGh{-(xbFiU
zj}<HAySxZJ9uP%sZEExx!^|^w^-$D_1##y#K}_-A+WB`i-sTIp_rFU^vT_{`C^AU1
zX9=)jL48%*KsRcXZEUDenWJ)mQV!-&?U=<23Rp#>82+>FQ0f1E)<u$l3Gc+`0?F26
zGxK<OxM6CV5lg=HosmC5a1xuX1-_^J^{b~a4{7!2MmL(pTAP9_h)ddyfe_Oa{Aq5h
zqmQ++x0QhZwSZqZ`4bG?T0=ZxSe(bz=rpJ>b*_JF-||`k1Gl8u@5<R=)|_#HuUaZP
zsSVU7-9?YtOh@S3Dzy0+*82Q>9Ad)9p`itwcAC>z7Ya@y_2L%^atwwGJ(KU%#@>1J
zcbQhe`OkB-@Nnav9`o30Y_n`cXFqm)nag0V*Q9bfq?R|c*s|a0K-_=-NU&K+i3I({
z#5^QvD6WV7xN+Ux1n7x#SN!x8M<jbRi+ou*Bu<iZ+{aX04daom?IBSR<L7iXO7fb3
z>x+zhA<T+T(`W^ZXiN)IHNJ;p%1~#Gd;DoMp`v{^s3LdiCc7s;e1d+tY-WY6do^>$
zU-Pq<W$<f{A+S6Rcb5h#q{MvfCOyW6P6J`%ZYHi^`7UZZTb>RNYQ(IcQKCwWW6jSr
zNL=ZXfl+X_;5n%&kwVA!6zX?UaM(tYx|hA4Kl$ulsW%cl9R6vaB|}e093ZM~9JKWg
zp}ACmH5v3y93jyjuTzdyi{)Z?Himsm)uv(I*ZoSr-t~fx2z#koLDH>q@@@GqUnM+>
z0V*t4DX40a-gw6q0KP^84FyJZf^E8uPd*#Ju!zv|JknnG<-WOn2vr*mwli1zfUQ>?
z=A;~OW%MxfCZKmdb}}Pm!wZ&FUcyFt{MHVU+N!HlS|P<Lsee2>?0jIIHy<My&vX0}
zbizGU@^KjPTI{3pR6aoq_t?JE9-pf50=I2}gqBJJx&JJA!jtA?cz3Q}-z!{NxE=m{
zfvAel=;d8|i9$+Y4&iKaQ)ulF0g?NP<w`gIuq<YL;V`&GT_(?w{UU8Zj?URheS<4S
z)rG~JM*!jVPvj3GAk)}qfbav~dBjkwVD-mwK8fqmkB80Y7`NqZDvrL<@3~33W`YEY
ziBY`vdL+mr4K)ZF6U<&()p-5q;bI4`a<qSwzCF0YRXW!Re484B=2LC1z>gs=J-Gxy
z`|B;olX&e_fMXrAUN@A(<P65f24g-AQ=^2cvtjn_s>aj+zNC?V`+<$B(D41PGC)GE
zxXtM6SJP(-u2FL~Nv-8FjSx2D9==45wn+5m@5|L%&NL!Jq~S@I5I)j(yza--iW(Ez
zsH!2QW-<7Y4X`Q{3elZ&;G}tEhxc-<cjs9+c--appFehX%NPtI2rk&n^}F2aIJ#;g
zd;>e%F;{n(*{pEWh7G~|;F+;sBXGNx1yT96QxNaFBU9st^!=Sh6}*V0D2avK)^D-~
zXV$`#vv|9zoA<+U40eALG+B^AEP-Q@LdRpd?HvJ7{4d*6{0TLN&zx;MPq5tIsCWM!
zQu^var=XoOr}@D`47c6F?>9;oe2&6-_6i|I6egi6gq(M3(v5zg(l4!-yHP;_SO7*_
z<EKXiCu#VPXMD1BFnS(vnk@H|*ZBMVXUyyhgFR-F9BddyeMO7s{_{)dVAK5|6l=I{
zr`wSlU<zWIo{=%fL1=qv>COtk8Eo?U{=su_{r{(lVb%QrH&NOtC6vGT&X-7&@sj@f
zuhj+dh7X{Yf05~WOhv@TRlDMZi|rd2fNu5)ZQ6HqpxYL%(t*6+kV+tMRcA*%?ZY3q
z_mtm7<_l;hef<9FD)hR2`s9~gQ`#*`-b16&yzpgIE<NY{B7eHw%kVuE)Q`?#KKy%y
zH~M1$U{6@*8MCh0bT)1m(DKA@mOTk&ox9+oHo~53qB7eE3E|Qzb1qNhg|Aj-MvngE
z3|Mv3bc`!ad(WwU(09Rr6QPiTNb!4k9vLCS@}jJZm9&}m{q6@Hvv#`PeZ5)H+t!Lk
zsE>qbh-M5Xju4!kOJ+@vsx%FNlU7c15%ZX&X!YNFeE+EVHR#2?tZSxgW$3F<4SssD
zeZQ_HGwOx9_gBfAmwzZ35OSjUiCTv}1F?mWlIJU2u)DVyzheBykiz7PU5`rK6qAoX
zT$rt`_eFHk&zOdT%c*uSj^ozT)48cVz(g5p!z`a52Gtrt`{~H-ylJVFSaDv>gVoT~
zIYIvu%X332Pl-Fe!ZYrf5H%cj5}%rq^#9@O9HZlIpl&}wW81cEHFjg$jngzX8l$nD
zCTVO=tj4x&W8%E?+`HaScdh$*=G)Bt=bW>Ddv8Mb%Sey3$FY)h#hwFfZ%YRs4^o`>
zvAkNpBUQGc(1O8k&&9l2CHLdg7(!FMRi9Z8I}cOHKQ2pCVr1LL5R6fYjlTk%ov%TF
z5^#MkYyt!V`_OV8p1Co`dk)yzy51AGXL0Hhn(YP0L4S$Axgdzvf#0{hw}*He%7vTr
z9&&tmh^48@R735_*PF$f2Tc4iPcK~#*#Q^)n=ZETvK7N2$^O~MO`bzOAuW%!@prwf
z>6jgRu*}zG#02A;u|cGtY@xk~r?#i3*xrxVmQ_F{db+-B@gSG=ER8<_u6<r~iNx(N
zkWa5LoJy#c35tS1Z4G;%b?DCa-uqCv;{pu&!xsqjuy@+KAg_H-V}Uu_$C50+=VE<L
z+o>^@tPT_ifV5|@v0qRcZ`#@V`{KE1i8{;o`0xFb{prH4qYf=fd7Cej9j{7Dj#n4M
zneVB|)9qsfrK>^U+}Y$@{~c&kt#ycK8_G?<-<`0Gxt8vy+pz9DVMeX%kEZ=jQHW)^
zz;Ajy%fC>f3WeZID9!CP!JG32SV5d!Z*vs}O9J5kWL*F&E*6#$jevIQ0V_mnBv?g0
zd+;|>2}Kt_gjklLH|zup%3iKVlMetgu$jMoeecE|T16I47f+K1m7j{h1<`}zgGkWG
z+Q)$Fge_!#oKSa@zNSy6`}u773U`ySrOKEO#|0Vp*O*}MY&c02a{HSw)7m9lCgYz9
z=^9*eM_vsZR>&`Xro?|Hw|LKnnazFR$n77;=~>Zh*P8s?VYrcn983q<+51y%vg?a%
zWCw$m=sko<zhqYOeU1`DW1+*J7Qo2lx>n`z;9BFU%jQCw6ms%Am!Nlh4#n%&Wb4s*
zQLVu>+GcU<W3)-x|Kv(|B&~4joq0JN;HKVr;+i}oW^X6QWto*K5qMRhYM9|G6X6DX
zt-;}Oua_N841pB@@cI6}kyQeq#P-_)o(nz-MwJ2wlUgFU97tl#m2^5;s@2r&Zu%Vd
zWBu-1x8KjVFMG`=HA(ACLuQ|}A~l2Cf0@wHl7(k9!8qGj>KvHavTw3t*riTMCEEuy
zM<%lW-Deg^0dP#uIDO=IW_*dVbY2N(O%5rZJDs=b&V4>-L&BapOSp^hS&v48LyrP~
zLI8pJN{~D<&TPDbn(3Hw7(8L66;C<?vz3ITad~C1UxfyaFO;y$j>OMmv{C8HBSXgN
z!RlMVDY*T7Pxxl@g%Ly~rxV{-##lxLAP*&#ymc6jooS|)lb827y?ef-3iZY9Nn5Hh
z&O>+1et!iyZGiP?#=`FA=H^Qky0$V%fLN{srWqBgo@CJAh5t*!>t`Mle-W?h-v?*&
zxAm=cm+PWXG-*Cmqu4o3!qoG_=qk-pVq`H4^*=V2G}n0)U;34n3@zG%>j)!{<ER6)
zJcJ(H#HQ*dj)+}35}Ca&413-7tkslDJFV6VbSSX;dhX|isB#TP6qqAfp33qEKd+|x
zI11Zjq6na#q=-Fg#yu79^+QzuPUsY~%ouo|7k3uQ0Mr8xSNq}6YJJ#2>n=spjK;f@
z?77t($DtvaB@qcK`Z{?LGF8B02d->RLJZ>#y~xZGcZC-}!M#$JXJTwZ(WcN}(%BWf
z0gy=u!w=yeOwaYdUGaO`FH*Q0td*a`!B}p(U@ao~VznV*HmCJuXG|R{+mOEw_(%mt
zI+r1~83Bhc?;kaK)Y{+{S^Pj-fD9bDQ`9J!3w^}F!di#lhLB7AXsfNQ?LWFhR*_c#
zfS)fpU^8>O-p@-Fv4k=tzPmR<MYgL*8Eq>sVAmgYTK)3!sOnsiF(Q`8ryj;{hz@j-
zUk8jmWL10Zv8)JDvTOIL-4PP(9f;I(H_@j0e>8UCPuZ_mDEKyC)ov1Mr2at;VDLg^
zHuTf!y68#O>BMl!-r5Ea^36n%>xAUc;NGOZN6x!a(-@=u1S8)rKT@S(*C!Bb)v&9R
zlhO;2jTR9c(JKvXw@OoDgue|z^Ow|*%kDd6PB<>eNHb3UiA7LXM^dxygLMYdC8Upy
zka~f%xlksWNk;;84BOuR*x415lum}0NEjaiYuT{ZfWV->zP^<Io-0HNH<{ykqMv&4
z!wn>2gy!ew;9gTj?=Qa{l9!H)mKx<W#Hn8EFj*+bb~k?3t6qJbA)Q7%(V|R0%s3f9
zT!w7_peRI&U}k_eXNjg~ofx)|n}uh5jXNFrq_@2J5KnhZ<X}O0#rXB(#$lG@`Vnb>
zgu*E@<tx)O6p4>*n?ufs2^*F)>oD%nH@(c#+N8*Hi~08Uc*H$Rq}_0mU+nw}(`Z`F
z9(mlj4p$~<w39r#!`QU-Vzi!GhJGRFQa)IvUyO9bil;acQ4oV#0(Z<gp|z=PFuzJZ
zo1}65Ll}-*0-K}DVZD*zAzog0L7vT3h|G{5^d$9}FET=UV9iOe^#We&081+4Uy5sX
zBsIbAsdY@}8R%6(&GA@;>{zjPtcNa=g^yXBd62B#f$&RB*V>{7NRnd&b4qPOA8cEh
zx;FXb7jWImmn;EHGv%}H4wJ=Gx#5<Xp=?GxW-YA?wAB}+7qneDa`=4jJl+cO>3YzA
zPw}GW0`1jNI}KtKuq6ej4IPcwQoZk-z%?WcWdZ*Paa7;!rO(t7RLEV+>&}Oy<+X4j
zvo_#KzB0#zI}pE2#i_zjpzm~CT__2Ii^3@dzt|(=n%@fTs;FUT-w>?HF*hPzX%G!J
z5Q2sd+1-v3e-^IX<2FBIX;=+1GW(P64QKk&_4FVB?4H@jf8#sWs)m7w&vx4dhVHE^
z<89FE@bmizynpv+gMW7br~T0Se`GLt0JMAa|9q9gLLmSjhBd&9NHh4|cvU_zTUXt4
zS0K?`7GvM`eEDg_<6$mJC8YqeP%wp5^jEld-o9ol*1`5HAKMO;8D*ryH~GUEJ<eu*
zQbp(MU$UEfF)}71jb9QL7<S?2$W=7o#`~?aRF=-)Qlb`fd@;RYpkSePobA`a`(_Uv
z)E)&3%nNcqt;AIHSj%?r=NsX_kt#h$BDx=&^ns;lSn-sl1gqBz!?}?zGztj;p?iPJ
z;jreLQOH*?v!2g3ofqyMc%&czO-(NzX;H9zq7y<LW_I)V|GXW@D)yL>cUND2jN`>y
zc11~|NmIK$nv4~k4iseG$R`5JJVD<++c7?0V@Nwgf<nmn5CNSV^=Ei{V5<vdj$c{g
z3b;Cy7Xbl*1!7v9Uij?pxoqmFsGf-wwpK|sc?^8n)J(PSln8=?5y5w0`AtR7VH$Oe
z0^Q#zNoCKc<3P6hO^7Vl;jHiUmf`0;vWelJ3<+9txFQqpQ$*9nL!Ho)6^5#m7CkZ|
zC!1a{c($~7!9#4mjSZCKmBYu3auD&BPm8&92$I>KZQ-f;enH&ROIM>MW9_?eJaRV#
zoWA(C$9pBnf<?3GyCh(mj(vW}MZ2R&uqo^e>2xUs{h122Ze&&=dmxeDqPdXyvb$4c
zecgll$sm%3elDcqFe#Ei?z@M}O0<jpWY^}r!1}&4yWDJO^E=XGPWGS&E<Ne#fR4`m
z_zHD9XLLWQ_Td3peC7GbjkS6;2>hvfQnshBG~dDDnb+0LJ;ibnVv%X68Gdns{J&m2
z3Ixd^E1i@i%Vz>GT%n=or4Y$xHJ&a9C_xh!0fzwxgGqyd&yji}R|j}#$cxnvuxVm9
z*@;1O+4K7GhfpY$*_-U#4E1xU>Xg6r&dvd{4ER##esq_qUC_K;%W1D_#{)-<Ro)CC
z_DtV!p?yR=hDSHiQkKkj1a;V{*Cd$>GYTPoJ=gAC_g*_DRx}VF<Zj;P$U>Dptg-p@
zvFcjoxm{OUS5=M!xb7G23IYqJlGsZy6@xCaXjS4m7DU4S)yQk*%6r2K3gmL^GT#ee
zuVxyU`F@;ck1$&+c4^CW4D^UaQ2B!7kQVsdGW8`ny#-BOELr~CFUtDCEfYQr<XXFT
ziN&Z{Hj$C`RMe!Io>iw~{2L$nO||OXCiDG1HO?s&Ju(s-7z{#)zy?MzcrqX94QgJu
z%VMb3C>y~z?6z`=KKvuSo^g63VB|@m#733Rd8cfDUu~B6z1+$bm*A2=`<tk=0A^fb
z4>n{={0+^-qj4OCeAUX%*R<VM8^K)fJ*6B&2N*{Uq16J0yH-Ue5kjdFK<`oi1a6{N
z%+y!Gs`!_aAC?uL=2p}}7IF+t&#Xl6?(QxRxV=(iu8O?B(=K7XkC9#wT2{uR1!g>d
z#`88tC7O5JW?3*Zj|@GJXdC;h_Jt-5L4QB{BKL;GCYAO#x!_hK<YicUQ*N0C@^OAY
zPIwVvbDsG3-VzyffagI@J?#gH6DpMRjTCNXLy>OJ-)lU4%)l^|y3xN~f1sQ?_2YcH
zo-1H`DW+Jqk`#Sw!1ypB{>iyS%D5F+?zn>r5`zk~)6nd!1_K9kYinoJq2n;u^zp;4
z-r$!>f9h?4FJigf7tL!%93K;z+-EJ?1};+d6P#ZuP8aG(6J|I|wilr@BhnClrOQnV
z709YlDbVF13)!du9C6XgoJ7<@4lhN3^?x8^Q81b^vMAWmj&TLV|1`!@u<LyUyA%#e
zgtC3Cc!0J&SSzu!3Aa+|vPMZcZ$ZdmeV$h;+1gEpJ^XJiygZuBYkKIIr=C+BC1vam
zLJ8;A58zyA{=yAob$wny>U3~L$d2x9v}dgB)(CW^O4!gOiF(I*&h}FgG|3324}|K$
zRBr9B>#?5ggsQ4SrHx1+%Q$nz-pk_`aNp|)qPXvgGK+6GTK-h9pyzb!R*z0Eg}7to
zX$4D`6)EE&1wwpUTBo(XA~bb*;0Yn#Ko}IQStP{jn$OK_#nptJ9WEl{ur1-@O*gzN
z^9)K49Qha^klj7pl6>eA1|WY@p=Bwl)8*?`v~@*0(=D_|8o2yKitwxC`ztuCH(I?T
zhl|ao^A!FXSb?PB`h|;SJz@hvUo=$5=bAuTJsv|lDaH5Wjyxs9oaJJuGikyBtLLSt
zNeO$%oM0msL+fU?DDM(LfmnD6(Fqa~4NytJh}VoMHDzCSNE%Q6<a_p6^tt00X3t1=
zDoP2*F!lbz8tr;*_Uh!LIc=vgsX&LPHod%1p<WnO|D&bReaE7Se*`gw;wp+gENT^o
ztJ!_%FEmqQEklv#X{=HSbfuRU32`U9Ir^7!b~<yrMDh{+7Sg!yRC!+ea|el3QpO_u
zZf7ZT3`Mwzc(DUQ5vrFiwX>)pe{=k-{AK0wQAo<AEEi6)sQ;cQmx4@x<qY#nbnkTR
zVb@`#{Nlx{O<!s`$K{7WYY0x;VGZzUV5-mI6^T5rWHA7ks7Ap!w%Q#1uxWIA7)thp
zPeO{OLFio;#6#G_N?Z0=ScGEM+vTv`qbDm=Kr5!>OhKnMVA}A((kvZMMv*~Ii2fU>
z7FP2KYFPGZ<ta!_D<8LLoF^owgazy7wI@9z4Xb*^f&@)2PZq*2NHaF(!(M4pb}v~s
z-qx9`dXTD{S3))Gl$lgCF{DKe-WZT*{`Tg}Kzn^^9+FC)3GH(6&xuKZp6d5pQ4~#?
z<i&~>5;kH57<cJD6`h$*ozKjT<CB>h1-q%H9SP%)FOIL`?2x_AT>EK*L;9L2PWxjm
zGO<2c70Q2EUpxjL2@e{T!pl|LL3G}by(z%H9CmxI^`Pe7DQxj6eM)AkfU5xGruX~R
zi}0tALj=6VbdS|!-0dTU_or^nwKRQvD=vO|EE*`);V=Kbhq87!v(NrUr|t#slJsE2
zi;CQWJ1_`Le|0QX>be#d7fUiTGOB|QR;Ub7KLi8iLVs`kH~+4fHW^cd`mQ`3J$U0P
z<qGlNtiYq$XW%4t#go+ZbJjTI6url}TvH@kD5cAW0V+l-Y9rOP2r#DsV$XlQ=eZis
zKdo+DTi<*03Z>FRrJTMi6NGZGm6Y0`8BwQNOx*i(v(w@c|CWMsZB!oA>BxyvON|&|
zj%H=f_KY<U%BJv`tR(#CxlqpEj-^BOd4attVEqghP1gA2kq`7u>aUAwy2*)bZ4p4m
zm%0c=HB@0WPv`eiV|smFENU_dW$wP69r+{|%3%LDFv>8B;&Bg77GtK_Kn!U2BBe!b
z@px#uK?wrNgs|vkqBTC=*Ey&AGxyv;iW;{g!+s-3@)=H%MG`a0J>mtHJ_?hz`ZMCa
zX1ZljI>;t3co`1DgQ4CCEA$OWN~<odlJZq0{Da>hW4AUI$AtFaC`vT(+z3a1>|m$c
zf^d>s$S1|d^ScaS^JrV5Vmcc+_w1o!!8B$^7ad_M49$rwBBt5YCZ@{Y`p_`(26Mr`
z>b%;4o(`?WMNN3a)rYCMq~F&VEN9O%)I}cBmNvQDYJqJ<99=3@p;d<6sPFF(&>`M6
zQk#3>!D!T5t56y2VIHWt10d1><nVZ%dexJBucl!35ax+z*ImqEIAAIOFjr!5Z7Vz8
zOUQ3}lvgnr8T{mMcf)C|Z#L5IDXT~d|CN3kQ!^J<LLL<mVINSKj%PlAYR)v;iMREB
zx`<#e;ww+3rxTo+7;BsTGEV4(2LJO>N8O3jO6^)&x#3wH@0UZ#n%`P{w%*Hi|0Mi*
zl?^(dz@InY_!Ub&1Wg>DYZ#`&5T0|P|8$DDE>Scl*!$eEhMM%-f5ux3KFNUYzQ-+r
zk`|X8NC1|+qTJ%6i=30&P$hI!UUPFU^^jjXbS6$IW3z7CE}dTuB*^!yWjp0N%6&&Z
z8zHj~%zz@=P%2(UgPIlnx(5+L*v#s}(qY0MQaHr3YT8?Q9Nz8mjMQ{BWlehjwsT_N
zi-6q0k)$IP7qTvr3|`P9NQ1$+^3wNI@Q^Wa8IOFdUL`P9_=Sj(iDP!i>9?4}#Yy;R
znKR4zWi!bbR1g~v5nn-3iKpMjrI)eSc}Cv*{$Fg*#|>dmw+jExLh3`oO_PyDSU{`I
zEcBQZKBr`GbJGJEnX_!<!R~gjCHHCAT6H^H3AhLERP4m)#(4@!NT;gvJpsBX%%TuW
zvD6}V#R@)>cf4qwp?&D|)|_q)mlyIh)?aeg&*O&Dc#da2D0oU{it|CW>l?v$rWlj)
zRTuI{W_E#pg&V7kYWc0sF1ZxyB)}DAD+xUFOpk?c-~~mIa&NWC&Icfb0!W@c%GO{Q
zy9Lv6-`GELMEqXjpkQYk4k3E}@^4pJ26EuNRw=PbQlO(41<hfaiaEH##?5n^_XlAf
zpOVJh9NoZ$VKaSzy5E|1mvt4cNN5!bKmEKH?A}AZ+KXU-05m-{UsXyU<5uh`R2oCb
zQk#lc&0K^$o8blH@`ldV2B&l$Jgv@!^79y<5gQ;6yaI)b-aqEzyKYS?iF&&sta{5j
zwsKo){<Lw@@NanEHMVxB1^X-lOX114ahDWpDJY?*Zl<(6ka`Lzt*7VLS8$#uSdY1t
zWPoq{gskVIqnRuVwY5!2u^C?@y6hgubtvr$-(t$?vLGl(#3V7kW!myxk&v0ae~x*(
zTuP}nOmhEd|Mtu6F1H<s3(G1g36gK=b~;r+b`WO&dOV`N^~D@1{_WQC?e()0y^WRT
zM5GxOC*WF}?I*kJ;qTffx2m|~88A{fA)^fcYZ`U)Bj`*~5Id4v`gv~gYR<JyweS=i
z3$0Xt2sd-S{r?IH`Zsu!;Ddu1*e}vrR%WvW^tz+5Z0cPRcgh~yj{baTv}C8B?Xc{@
zXMIa3=k)w&dk}@Y_)u5}e7&dD;%+=QsuRTU*U|Z16D?89V=%i4ny?-f@vKKFRpuQW
z!Nk`k`CehGW|DI@oz%p`?NQIWxoXQ%a*K!{uelFWEg<aF0$XpW#iz`9(ISAIbP5dQ
zaHyMii?(qApA%PW_1o3DE}NNrRjTXx)Iw?6!EA3wd7Jhprzi0<uxLY}xt+;!;Nb#~
z#OIbd`9d(vSoG|Z7~pBq;Ft_Ii2lx!5Zuz~0U(K=FQsd4SLb|^3mHfpcSbOJ)RT#C
z;ssMkHh~uJerV#%okwuJPO4p8e=Xv)NFyCZsO;Iz#jEATHR^)3|Mf=xy9=1<hI0M5
zDZRc|noPrczP=fw{e+45SJ^J$&h*?+?>Z8|-+_tCvU_}jZzHO<6m#l&^EXX3%<28y
z>ut;_38Cz3fQNCD7i*0TMts&h#2*#I4pfS?|78L6&n|?)hx$`uG0HU9J{z>TcdLC<
zKoBFXvH=2=tupro`z7YW@Sdb$bcEw&x5uSO*erL4nPBkOFDCbAEt@~3`YN50*<}aF
z<n<a&U+xjziU*_QztTflBBj70on>wW*oTP$X%(Y9K^#oxib9oMNKwY(fIgjb$e66D
zU}@^_B8ZQVU|w=lC$z)!M9_tx$5;qhc6&V%hABpMQp~>VI$YP_={o%Nyu6wB*vM^V
zKFPP?VF_D`W@Q92fklqKA7ZcJOD$+0|NhIs{7p$XK_`-F;yVSOUR=E=MYDC+gKm+B
zVlj9fJ!weq!=oxP4U-gd-4#R?A<>;@Zy$7SuAXc3psK}R^=+#wqb*0WZ8Qz}(cSTX
zOwkFGxnOxzN=j-DLJ<Ny+p<*r2>o4ue0TxgLCL=i<O=(&N(F#R!3^bCDWG-6V>P9T
z<D2=C|NNtnK2Gju#?ZE3jZXushJjLQNbluSLQcx<Cg%ZV4BXZ~BMXZ<J|hpZ9vA&D
zWda7j#<A+GwC#&75Gz<o!de&xth98mN{W}CNc0!vJ0<|Z`=(FPn^Kg#s?l8jp8q_z
z*BNH4T{H2((&y`n=PTmy;P_z!YgcQ)<M`jLS$_o;a{_>p&9<;Gy}3@?(s=)vgl5Ko
z*ycC5_v4I`$>nkCuQfoSwG!i&?<8C#a@{ag18)xO(o79MeraOAKIV94su4sqW(a<J
z&GV5iv|tx1Lq<(OzjNvqIlK{J5v?&;7rBGHNigmT<&|$1OWg&H0yKD=gV1h~o%{{P
zD)rzvDd6LAeGda}AERa;Is*EZNLgXe|B6I|ca=t|P-IB)<%Ky~KOC{=?$4bEofSh^
zyIL2}3<<zw0A8ld^DB~$^EX75?VBzexAUP2AuCe_v&O=D82x6FA<{hkaPBp}Qo|Cb
zc&12PIF@l0tb?xrLVWWIFz0Z|!orezIGJ+>4grY9GoOO=Y|GEzX0N!j)cwE+%)&Ew
z{V#SQynF*+%9L*L=pxaJ4MrYr1U4|R*DgudiwVc5aBGS>4>B+oR{3&)?w6HvhjUVO
zS!{uLD)kq@Q`-}4w|>bUx(fD`C{z#lg#M6w;~P)JPN7g=ti*-H2J3VkrI!+H5b!>4
z1ane-`7xcX`MPVw@$5x1ye>@v>tpL19Cl;@n}e}hh@?(_<Rkn>ROEGiN`bSxM7tIv
z2yfnPeD~^Pd_R+AJ-HLj)0FX$l4yY^gD+v|O6!09#8J8FU4{<0y%VBI<D?KI6oV(H
z`7^#;_a)Z&{e0Nb<A=x++lQsiMI^oF0`a$ZzoB`=?(beaML6(5dxlF-?evs{RfV1S
z5n|{m1V;YMB$hs{K3kF2-Rf8!tX)}S^8!t875a=fH32$SUa?t@6a`r|>A<}^Dzp3K
zSOl;}qc)IQu5QgsTt2k9cLV3{l<Qmnc8qVo;iO|k1?LGD{+;Brqr+MZbfS;Huc4j@
z!zonE#sh!TglGBnV~H~!i`nmRP0IYpz+;3RZ+d>3=Kj8xlR%^mh~yybje|9$Gf}ta
zCQ!2=#s)2pZb5{-67YH8;A)1Mj;SGYx_@rEj>lozr_)bGMzVD~<So<(1xU^bSS^rm
z)!5)Zh}N<M92c&^!6h3ijJ8(Ha-V@rmoCkZXZZuReU=~7CTm#R&$g-<7B9oQ?c9jW
zPY;yF;Cep^#=y4aKn{We4*C6KX5A?}FOrqwt7U&O4&-H3iBRkXMRr)Y6Y<LYs#2Sn
zTslaz{PH=hSGC~cq8o&t4k{30iLw9;N=0j(I=ifAHcpmXHOcd}aY9@(HOa+Wly(vz
zi!>_7>`Ft<co-UnI+Bl2Gd_uViKdk55Py|u^fnfdA%B2+@3PEQ_0t3`S@qiVfZ%DT
z;V@Z5qu_4`F7k!&asj+F&Q31vR8tT{&0E=Vf4om;?l;JuHtB}k1ldsbU}(u>fv7O#
zloakfwp2cUioyY5LriV4s&!Xr?4~0V8GomC40Aqbib)`w`ROmg%2AB?dB`wh4Dl{>
z!MvL2`p`RQ^KsX)@evuTiS%Y_JeG(w9_MRi0#SEDu`c5mqk{&q>~8icI~^#spnLN@
z<jOLv-?i#@zRFyFYk%qB$rWkoFnsK8_FbOYPky79?c{r5V0m3%3V0$!$&<U9vO@Q)
zM(w3@o8R6AIqUF^v2Lm1kBM8~!*CdCljOe>exP9jJ%^o#@Z9st`oT=x_dZ;R{~}jX
zr*ioZ9+h6>SjbGe_o|hPekp#7@5Rey)z$aJgA&`Ub>IukP^T4v1y~otvyMIv9=vV#
zA&#?3g1djPxtn6)eqkd)?@q;|b!tnf?Q|9q*)3HgPiAl)84WFi-LU^fe_Sy$F`Wah
zu>r2{{-4?xhm=yPsSsr_&Y|F_kc}oV@t7<rw+ME6Wm{{@Xia<ns-C(Mp^Bq2L2nsg
z2cZ4PTz5G|4+&nfq8<qUgdijNCXOGP$1C9d@>LFKy6M|Q3LyEoH%OXQ+(S)<n{iq9
z6eihdsY2b0omSf5aGh=La7s7ob)7KuzM;xVnRbl*L%e%YO~djtLBI0LPoaIB7dW|+
zJ$RvRsM^S&XS7nB2u9jg^#v2>f;yBx9_1sLN$9~aU#;A2?{TQx9pC{a$_!kCI#F18
z18CXfWrw|XOt2@9jI6xyY@P2A*6>}sn{scw|33B<Ktk3B_!AM!A!!^0(OR6F2?HaA
zE1{Q!%=867qJLYl6h2Hx4Ue1t8cQxa!|<VhBwd>kag}?EfpD;_O9w1%HnU@W_3+YT
zVr*FYv|TUW_?s-TO!)u7XeX)4+27Fx7Z_27c6|9A$!2^`X!uglq=l>~)0V^x)tev4
z9?yjxIl64`0gOBsSLtk~F>;u6=mW{_YaYbH8_Uaam<z~(RKKVuIlUGR<z0_y2M`Xb
zH~l$x1OSPF?l3XFq|gd!BIlUW;)At*BmDV%Lk~^^g0ISNai7AD_FYC_mGK-LFFmVI
zTXQqwFZFJz00taYDo5Wd1;O=ESfcT<=5+L`DZ~nj(jR`M_b8R!hRqQFX=sT}hX-^!
z6i~6M3>ay6zJsIx+9oc9TkjM^hri|Ok=xQk1PawK-M25WUJ<DYt7>YeF(u6v3V5L!
z368fP-g@j+#j2<%;;B2+h|lzBEB4@_|G5jXvAopa&xT|F<y&S<KI8PYer)KXZ_q1D
zQJ1qmb6h(0AiY+RzUdx~hb}l=cn4}H)L|6wcPWPW2<#YR`Az2*Ft|N6u3yx<5PGLJ
zs>p4kZbZmkq{ShI!YtVo>?EkGECG6DEm3OmHZyly9wxJ*i!aZH`#CT!owwP&cUUQF
zz$gD*%hU5&z{d4kI*hx=eA^VwYITxObz;<1HP`BCf2<DJbCfi2D@<6YX-?s&UC~y2
zzNy4dGM5+FL{REwqY=Gw`5^jLJ|z~vOre|tc@w$HMjFHV&n{2c^%iq5z_1P*kW6Qt
z7-=^xp24^}GADzCB#l%4W_EX-!1*wf6}5%g(rKSF%|{yIM~9YQ=EeRukprf$$?tg$
zJ*V4t?~zv5`C1y2u!^I(v%HJ>P_EjmotxXEkeh%&bHdUMM5h8zZtt^j!rFDcDPky!
zzMi&O41E8~Jvv$XA+c6N@BWO&ioDq+_eoTt4GGoo=xG+yE9Y&_ATyf0#FgJxbaWTb
ztV<%OwY=s~a?RFi8Qw1sG}j4TZg>9w>0B5wBH(956$o4$1J-ds`ZIhs*RSsm28G-i
z3Vnw&kI{5t^>Kf_i-th{cTued7TGBPQ%IT{SB5sZD?Hobi=Omqwer)pCr$YPm@rJ}
z{h(#~Fm{~-p>MY#3Hz!)azA`5nffZ2Y`g7MRBnvxH`z*z`C@Op_vFlI6Cva6A4k~@
zRd}t=Dm38E;Sc%Bgx=#Voh<jPC$g9MeGZf3w>Vr+8GhrzvL5*jb!OiF*$6bv@GD-P
z=Y=;1ucs=qqy@=Ce9u%8%k-Spr-68)f}(ygBU5Ykz%a90Hp?04MjBLp-Qx%ISLC~u
zp~A?E2!43mHnIv~09pjUXO`g0THrqqwcn-Pr3zWJK#|2WFT<a?#Qv|d?E}B~@N!Y1
z0?WfvTc#S_3lqi$$uf3pkst8<E1nxwbkNMMeu8HN2vghSkhHtMXmqA<lzEC8OD1$A
z<OE1z;H|(MN#-nbXUk(g@kfLjb-__27tN&Ul+O>fkT|vEV_v)xniVAuPoKp_o;}$G
z-MMhj>wA9RyCc?J?Wr2?yWMD-6ogD1*GWGA!UETguy>U{hKOR&_7^BWyWxU7M^Se@
zkJ}qeE5pmE*_`Y<$d)kde-lEvUd6|e)?J;)rX3tYlI_hKw5KXA<;tS01ljg*No52G
z0s0j8A<%V1i0tFJ><)}#INeXV{CKJzG~FUZ)|iRbjenYdKJ4^lNbh8hF2+VEU<~^Z
zhchMmsBw$eSZHiw)P}!6_G%J$HlHF33x_syvbN`v*+W2d&C9?nF)|4H&}Allb<HKm
zaG}bJBTg%Ic^V?&g203ONd!!0Q>w=DI?Dv<QZ3*FIp-WZe6kSN7%HYR8kdu`KO(m8
z(6UIQb1bejWQ<!aR_aaw+6#~L!j4qsui_j@?q1*JT(T_*V<1!_@9&GGd{9Zs2mij{
zVEJ8vBc~nh!wbt)!1l%HOCm=|#p2>Q`fNCf0FCLVft-e)n2y>$)_FE06ba6%?)^=i
zC|M}B4*A<D-8cy2{~S}Yz9NcmmNq&JGQiO5wYPXUV|Tv}tQ^|BrvHIu-6KJXMtK63
z9)00(eD2$5_$YqYx-0dpJDZXYds(KK)X#U$O)7bfd5a5MTD921@zd|KE;)IaH?i?r
zDB#=@^nBtn^07l~*32E)+GLV=4my?Y*-jaUukeG4q_jQvMy(-I#d5=7HSv&1nktLZ
zm0jpzC0WvRUTJ|ho$|F#nDTrNYhN_%Kv^^)LlX}mBkCj#TWZnXJwf)F9-*dI7c!><
zoYzzdmKNOuwiBp|tk!IWeAs^=*FyrR%pSKpPfA)<B<SFD20}buCyRy((R;}mux#Je
z`%{aW>KrJf1|&x5F5ge{mXMtLK6{q`7FJ4WXzIpffu3hCVDV~$&~NE!(3i}Yq)zGP
zK+ngmmM<u9xbCEls@JLZ%Xe8%mu4ZbHAEHWdtZypndf}2IXW%RpJlFUd=3+&mW1DP
z3V9pP@Ez!F|6x`H{20dL{vqo9WrtZ?F|uQD0Dhu~5pNHY&L|*vspvER;b6C*)GiMR
zgYa37Q2hBM4nL{#!r%u|=)1YpVB{~8TEn_X@$X7Yp<G7YAsO@pk_&uDAwajo;)@m|
zerBueqQu+~ZPGphc-WNv2v9}eiAs4z-<F8M+%<!FB@_UU92Wf5oz6XN@GQNRY?MQ)
zsxmC`8hgn&>%4~CVe7g#ra4vEN8Nr6-RbaB`$)rFcYMo)#xOkx)xBEm^8#w$_cJn^
zUgP&ts#03-!63;SKNz7@$Jr7BF`C#QGmbKt=V&cAwjlUaD7m|?MdbRBybxc$ywsR=
z^Ac5V8i5b~tehD9&>jDH*`!ssNN${CB(ss0CqV9+ZO%J*G3n2nk(Ent=(XSII&yt^
z6Pm3bUs>4k9kMNu*;TmUrhd1<ta@F$KcJdTd@ump|8O`Oj*Rgt6@!tGkRd++o2fw%
zi+BVCpI<ey{PAal$Kj1?GKlokH*aNwN(^!zAVo%0*gPL-reD=0wRReBjyWIJ{Mg9w
zqpUNa)6SOl;^3>;81=$OB{vQ`#0?H2ftV_EFU2VJk1)=o%SoZFEmEI}%gM`0D~|>_
z&&?X#_6#qp!;F=cqbHHAt0P9YwEMT2(zED^*C~Pd&o7Yvn3SyfNvz`f>13ipF1P!=
zW&2}J_M4H<@ls_pLCF0Y#!1u~k_4U&^^+2SP|90@nU`~u$XG<*F72c4Fg`Wgy-@`c
z(S^;RBi^f?X#KutgWwt1LlI*=#p)&dm7647o+}$fYGK6Mou&)2J_Q$B((f^rZydm3
zfp9q?B9w^$(<mWpDX*12SmR|h_HA1yP?+QNKUbs}5pCx;s^SVL0M11A<9wg4<|pW{
zY5yvzPE)h(!y>52)+r|hASUUbOUq;Lh?dXj*ZyQ6NluffMG%6+$DHf8pJ@41L;Q*<
z7{+@s(y@KTXas+vkZFM+F=WZC+=ch6kT<a|O?bnCClX_2etupS@YOJ93npd|-N5T0
z#Sa2nSgJc|al!(Eo|=p}K^S}Rn=CBA2PJFZZEySvXtd>>YVdv1VDslb6^Y)vz{khz
znUfJ$G2O1Nj1RnYzs0~sGw#%1`Ep|GCI+ADm{jMb1S+EPGN%vH@qjIzJ2D(rpJ(kO
zR7Nk3P4?9E>RZvR+;+`OpZf)F_7KR!-$vxV#5-3b6y!0VyqItjkArDBwZ3s$yric{
zyexcP#~FfoTh~LEBDBiQyUl{1r~y8{+$K+`oTPUCQF*WXG9Nf@v7x4{Gk7ITCK6Gw
zLgb;e^@hLs4*onrVNEplb?u4mD&qk*SL;BX`~gp}B6k;p5>T%b`tCv0<`1jPbokS(
zR3c|?4|jxefBH$)>`t$*UUt&DB4jC3njnO0ENOyhM&H2UhTp!TUpk{~^l_4-C4w&F
zbWmZt#X~;ZMS(3W;0tOt(uj4r{nkHR%aeyR540lNrRsNM#El9TJi^0Hg~S?*=|c$_
z{Vw({;Qi=Lzd|kq`ToS~gt4Sx9wXLBS;F{}%e-{7qRGzI-0&pHi@|=^^()X1Q~-r8
zlfiC@w9$N}VxeUnWl%;Y(`ONs8mrZffp2SJ>zHQ)2;@wtb)J7NEMneVCGJY8s7b#T
z1BO`Y%;5l3ejmM%0J3f4V+)Zso%ah3>>2HW0#`G!i2jWjlAnqiE`l&dvXb70Vblbb
z+@6^B4Ny{YTwE=ox&32d6&CyexZCKttnOTp*2dxUDfV8MfWM?}q{Jv^&ctAz360U`
zCG2w77HMYzKhbhW4ZKWd7Hy8b9moNWwzWVgTF$f)*k?Y~9p@luUX(Z`SX0?%CV2vk
zM`Dgj@Zwuo)cfw1H%@i$cIR)iKO!!{85Qg1n)cGN7Yjn+DVW&%qWh08hFD=U>Nc?#
zH&&!yNiiv8hAr}%RyfLupMPd?Cn#SIeNDNkaG~)@4rj{x{CKw$$p!!46?AVRWncQ8
z;ba=Y)&t>k-pV~ot@n3WC{f6{rNXHN+AYhqJA(pQ$$vd|wsO#gR0h8SdZ#IzTqAIe
zRzqvrSYzE+d+__^Cl$0{`(-zw1#(IjFfd$%8Qib<V?d}R66&sY%bfX!@jTbf4l6f1
z>^df7lW(#;>7v%&V_Qz0kJ5LCnVDm5opq1e?6;80i`?NSU2utLXPvEA+p0`@kEC!V
z3jO;1((0~Q421CY^6tSX@t}}nl7t>K?|q$>zLBB*3?fl{j_tJ8<;UJ$m07nA^cN?8
z=br~_K3Uaqo13$%LBBXFssaBPV5N)M-6c<)`UBwCV2ol1o>{EL5+`;YewSeL(7enb
zvUa&S*&LnvnEjMpg_J(kink&^toXG#u}$b-zx;|6k`~;$YH<Gm0!i&3om|`AzTGAs
zu@D#%S)!#TjC^^EbYZ$nsGa-n5`IWmemz{u>k!XuYh@P;+6)jPot=+}dP9)qD*jDp
zRB*gw@spb}$AV`BV}*;0iwVM6loM6hdAo<xvBih)O*9}=$m^Eh%gd_<@)&CS2pJi9
z%Ida@Bgg`P62+4}$bEe&<m<b4m(?!^^RnN;)L<fXp940DcuqFLxWfHAbm+Lr)7})B
z*}XBucMa@sFIwsNTy_PJ{V@a~*}YR$e7K%B*Q;z;Bu18FB{0@AI}oR9gLbW=irA5K
zYI-s=;P9jq5kVJOPVbWg7T(DI;U6!a=AG-}U*5yBcx1mnkHg%LY|+TYpgPz91<l;@
zpoT0OXtP$7MQmkti&Zoft+oc@kgVc25<+0RFwrT7JylS!6pC59g0$0_Xr_d^XNG%9
zF%3|rAH>XhueE>NFVi#mJ@Eq@-l1ZMy|iqu_iwwvMal_3Un(#Ui;j?QYv<Hq$c}IA
z{IV+2+>c{jjZp|5CkTMzzpX#APuO2#2TYMS^Ko6#9xLSJdamHV8*#F)3X!8Crp7tD
zeS3)a@<+7RUg*BgV=l0Nfb;xzdUhmCOL!F5|MDu%@*d!~`^U1zX)QJrHr0I0CpFRm
zJ1X>_TT_6%*3jFUGk+syV$)366hB>wLGUAA0t_pAAr(O)i1+X?B0|)scZHPSeiHzw
zeiMP`7?xVqr!P<AkbyxWG{E3Rr{R=gViNUzUBYqP^s$+xv}5{_rgn@scT<~P`^BBc
z7v=D=OPFEibSU-;qDQXZMBzd{6f>Io8x|&PuMoL6VYu+X2g+e;2<$r#VhHgTLUYsm
zORJC=-;N=dxeST`pF5LRkv3U8PYz_d%hrQ>uD{L0(9%-)!_%+v7Pe~+srxJ3I1&Q)
zt=Ob0;moT57qkAZB3dR3Y)H99ttqG8)mMp%%V?)uf**dIeA$gk2wuw9uGb#*&h7{0
z$NmEdhXc}ZkYqYE22#}Z{$oRFxHZJQzS9Id`8$N7>m)mF2mf5V%<(YRK&0>^_9H{9
zqJ(FMLpE&&u7l7`eP#dPP;SEuvlgI<P|zSeU_Te#ZV44Ixe}PGQq}&nzTG0+F~l2x
zj7PkA$)+aa1(;le_Hsn?Zu_L0_+aP&%gugQ+HoX;59#~0E|rqmF>G+0J6{p|Enorr
zf(CV$uVNPBOhX(M9EYn<zSna7T;0~PY!r>EpAY9@za;}hxrBSJDJs2A#q{=rjpkI>
z_+^;Aye1agXq5+Gs^QQ#<fNXZq`>Kb#R(2b_@}u2#%2Qs3?-ddVf%;mkGOz0&g&@@
zQ<;)7`6T+fhOa`9JrYRG$rATn-o|`UJj(hc7B}OgqP)bS=%DDb00(`#Ol_oTvte15
zyWNmaHMhA^!f0!y4*!|)@93NRhtCA)r>Wza^<#}|Kf9^My&zK;YF_vHRx}?Vi3|ee
zY|eS6=A&Oh(S)i<fJ|u@N+pVM$RLj)hVB^g8U2ytv0P;iLc&P<)`9}lW;8RVKwdzl
zbH@g;V@t=xj<XQtwp>4(H25*{CXxh7rhhZtNZ70k<`Xq~ZUK=z)#&COMKQ8IDfJ<y
z(=5!I*l*Q!56Yi!GQLAavwk>>pb$I3w<Y^NECs9q02E3=P1}eE9F{~|FEf;nyWDTq
z5f`<VX6Rnu{}fngRg&!jp>xN=k_F`zq;<aY3@JAk)_1+`j(L0;%<X%KF%SI7H*iDE
zx#6Pz7sig{1lfw<Dzf&G3*a1cL+z5tKS5R3Gp<%zTiab%{kW#Xy|nk>wdY=}zx8<y
z01(*=L_)pBE9(hWFcef^5Jub>kx3XhX%6o}!NOn^smAO`{V+E2-Mcpj1k2&scXrV9
zLvxXvX*Csbd!A`mM+=aU_hY21w(z_yRCzhPrcRR{)~V~-^8r6;6rtXsua4D`V=p)_
zb)sGtaE7RU^^v$&`XFt40Zd9t)5de#?|Rp0NFf4EXv_flk_7YO(XS+&g^86ewj{up
zio1`!xm&ZztA>N!Q&HoexWgFciUEU4an#hqk|<RxkC!Nn8M(g~jYD&ZXk&_HL!Tdg
z+abbPMz2}}4t@b@z0O#eGIjZ#N2)XvSSlcwAU(sSbmCh%Nr2X<g!eH{8$jN|mT0km
zmxUQAOWm#K-4YU0Uqh25U>;TwZw+YS-`E2AcBf3K*v$9zuim98UAh7gf8lHwhyH1V
zl+mr86184_)jCL=IlUS3UL2IG$008xV$*==`O*(_QOo26MUQ_415EcI6=`Oab2)RR
z(!Cb>tV~1|@!Z61i?C0(_$ziPIgH9eU!OLuTp$}v^81)Q-ZvC&n$WJ>2`S%KBF)<D
zy)!(JE<}lIu|xU5!*d+@8XYjrJj=+GZTQeI*if=T+(4;O8o~a<#-~wY`-9g1?if?_
z^CgWWo0Hk1jF{a_vT>M|)1@}{8X}Oq@ka9L;hW=2-e7HT-=1W1!Y2fiTdd?VcBak`
z4a+ONTa9B^DX)_(=r>6W5r~qH60nQ@I`dWMWuqNgPKY7N`S=>#=aXr+0ML<^<C0Wh
z$e@t<8R;Xo47Xb|(1B8C<+%2C#CFlbaSiD&aa5?Qxr9zR)E32TB;ByHQaHI|4LSu1
zOPgQtTJ8b8WFd81tL(zw`CsPj`dpJ{OOonF{*0J%9IlC6a3Wf3DaEHP69Y0z_lM(o
z^B~_wYI>it<GpmAG9!zW7>AII9o!%!Y_0Krn~P!n97kYk&fF)UEY=Wz#!U{=c3It)
zHKO8%{DFWR6ws{OWV;~JBQ#S_L-ysS-{RoMzy82Ms!;sj-~sb!xIr#QxY&Lsw||%x
zz=sNuO-yKgkNs|6MGJ&cunEn1MJdYfsY41B<r+@Fy~aqP5csPkj|L$b?f5);bPDjr
z1)P>w9K@nN-9b^gXav(Rai!4JRfb}-qf+)BPxr1aAah^-_EGAZlPg$|k1~KJNAM3<
z1ek(?ik_GPt-5>4#|${yaU}C?luCQ}ld8nkj}v=e*+tP0yAJzAYIqO9zo;wNo&h}C
z%6<S0_gHgD7u|Ip!tcHC)N>!ZZ*x--Xb4_+__?hW)$x^jpC3LxsOGP^64Qi7oxk^u
zreE?pS|Su2J2lz5>D|tQ!}=Dv12(D+e~g9n5+bBlRaB<}YHi#P+6j+XyT5F^0gPZN
z5-E!<xJ}VLMz+ZTTP6}8glO*}r3-#4<CRhW%K{{{ko?2#0X#zC{U~ljzRUB+<_*}X
zM`v7e{1|X@gkM$<J<-=gj#OZ(K1P#1c5i~dYNMR8Whz$riC{GkXe9<f_rg92qh;s{
zyj(AMXFUzH-tI2kd?VZKilJH&FysfAJ!W(O-0^+(Qjm!yLPbUI@9RnZ_sahOrj6|q
zHp{ltcxp_sS}WtiRuG4_hNW~p!Hb>uRWrR(9_4j%)a@)CJ()Ljk6Vza84~bjx&DYu
z<ZdRx(`Jw{-Q_~^b1=!%nx>D9m5Spqp4bqGo94HKThE}U*gS;HXo$L9bm(9|hC(8h
z9hr@Eihyx5Dc9m2dP+fbc#9H{Qox$ceL?8X(qf^t&{w8J9<rOrugU6HdU`y4Y)(Nl
zU7H)Yw)3mSql$lXmfdb?$NXuu6zVH?_By(F{ksR0*t!(7RU~Dp-c5`3Qa{_i6MzX~
z?>ols9e~J7S!Ufl1Pw8c2<3+&1;w@{eCX{#FWX4D>~3haSGMUe+TclaNWNU$PaU}L
z*VUP45aW?_d!NPcc9-a!#c8pNZ}bzt-V<=|FRAap0P+U$gz#Y!RtR|vmIk_LgE$79
zF5q8R;a~_QP?@n`VL(a086f~Q>m7!$w$iB22R375h;vX;%0SCVh12nUIBZLDc%tVH
zOO2pwi`qEAB_!bJPYWBQEAQQett9y$!J2}ti@OuiZ+h`m;{oSV*~0c{lZ0L+0Z<T`
zlxhgUMHG(zfJC*Xo2pO|S!uKc6_>oZLA<_bb~ATBAu3I_lK>=8Y#YYk=K9UzjIb2z
z_EMnHvi<*tS@#mjE3*FjYS93{*?Gh!@?+B((9>0*mD?a<{13^Zd#q9Knv0aE4caub
zJDyOLfc(im#bRPS@(|~&t~g-kXu7rn=3-sny|>!eGdNL#2Fht5rC8K`tcZ#Ls}$Kb
zKh>0pOCJJSD=Cyxts|ztVLk*lPQ+&OVW#&FEY3vvi|jElo3FCB&%)AhlWJx=-x*IJ
za}5tX6v5WG@sq<1Rk%6{G_-chVNIT&V65a5LbUzK2gNtaA4=WC!UI%H%sFV2+;(Yv
zNtk~+%|Hyy7_}mPb`qGpeH;p=N>c?PR;S8<jIW3VKE^h}iw<p&^mP>`tP@R`bn0-1
zm75)J_zk<EXN)%mJ<nMnMS*_9T@jWy+%=B<Yx*9;*)_5}X@a2*`|AB+zkptnCS?58
zz<X5eeuXsHmRF!DYOqoVxOIzWXdHIYX(bY~6yp#+N{nZ+YGG-itA2m6{9VCHd(h(x
zTc=>O)wiq`o5zKMn5wTu!sx<C0O<MEHh18b+TeAf)ALXE?cjtEp07ho_eelFds%k&
zCr&o1y*^baP`Wl7#a0`^8R%PPUkL`jC*p3jFeBDqinZHMqPO*KC;xwYzkmHUhefu<
z=PkUKqL9Cz9Hg-^H<*keeI+>R!v7?Tx+XICIoEXaAdMFQ5opP3KOm}I<>O@Fr3;0o
z474f9pT@oOu>?oXl9~8>V&?0XiN_GCzL*V0)RRhX-4*Jl7$f^ndI+El5ZOSmm-Ae0
zetu{NeDJ<q+@wjYy}y*ZPogPIdyW2{-_p@OL%lF?oq{m?s7g^TH;g#u2`3vnPUwVv
zo2+zl+`@GT1wjB1QCimCQNmswj6<>cZJrdDhh2hIG$3U>WAyNyER*3_v$m$Neu94H
zRd+vb!rDZgk0r(@@yDgrz$e~vKz@$!oo!>@j6yq2RGgWtexkAsVINO^56*`Y3z{?i
zyMgaQtWL%gbjeO|G-yzB__#)ytL@Xld*4x941>z;q+$WX^A^U|e?Lkr;Ja&BQEweD
zG}ioe#-=hSVj{qi*#?v;?D-0r08e^>vD2G%C@u&U(=H&vv$z>O^o;JMgn<VvffgM|
zGKmC6EcRNY6SeAas7gMi%^18iE);ZW+Zwm5D(iWom?%qbc%`HA<P5lpBA23(tBiA$
zi#77v6X^9w>TFI&@NTW+M@2Nrzf}p2zsuR{eCmcrUnZ*=P=~gPO#V`H%e9MX$cY_V
zt%z~EW8$`lpo(#hT}9`Vp6z^Y))rJG>55zn2#$a&tCO`Q7AVy;c3l1W8jM{7eE5L<
zCh~ZCcx(oEL;0m}sL_d)xDx&PdehB08lvqYP+;_kgvp8&uwTY`RCIG0(aWEeSXt%$
z7%OlhjvlxH2o#YX7)UdS9NcFnP(8b)2}xx8wGJcf`2Z~BhPH?Lt%E^<LJ_ALNG>V|
z<Hxl63$%6Cyd6@439H@x?w_BXs-aF#(BQ!$XNPNARO1K5ii;DfKA|?BoK0t@GQYSp
z*oyu~^z-U61f5gd?9<k(5%p@zG4rjX=}J<@h~{DYVQFkWo|AKP(+iN7cT;L?z*SuK
zef>I-)aZ4@)xX|(vC#?7d%sh@zh~r7=e;|DQpP=ocv18=2Wv5>ZVFC;tJ2FFj1zW}
znkeE>v9cNbLB-th&=QEv>EEP~a6a(cnYh#=Z{3xQJnC?d+vCG`h>VbchiZK4Zut#!
z_44YDM0ei6bxK7p5tc?Nv{Jbx+HW^Hno5S=Ung=HIhwYYs!n&VvW{hRjA<%|v-=d{
z!hxF0+$Z_q)>LuOzABp8!fwuxwd%WZ;Dr@hY}5fzQ8l`a{=U_T8ZXiSVU;jsvMa?Y
zb#cMooioVE_&G2=DS9@YC5mh>06iefwT!}hwM8pRb8gIQmJ|veI5oSSwH8*cfB|G`
zA-FM;0*R4uE38XX!e7+&3v04K3XD1Pp2?_;(XwJ4&Q=HOQ=4qm%Z@VtwtXM01NxWz
zyU@M?pS&%?59Y$<`)DbO;Z9Hcwj$*UA$H1AL;VaWYPb$f7Jsb54M^?*kpcQ1{;jmT
zWaxEt_OAt54@XM0vbMmKO4^6*g{3Lu3f{?A<ADVFXsg}{-dCK7>Qy07^9V^#cLY6s
z^@kPQU2(>nDt(<~8%cAMTj&dO!FTv!c_Pfn5|y7QBX8tEmmk;t&U1H<i-v+#qbQ85
z?@seHbK(>dhxqK#zb?L1Utj4)FaTar&jr0D#9+C@JW&MN<CW3(egJa6#R|TDY(K^=
zyGaQa+Y?!m?VtB^T=v;L0c++jt$7IXS9E+`4><c_QITZ29i`Ova-Y3wbEij4H2;Ua
zw~UMO?e@j*Aq7e45(Okgx{(q|=@O7`5b17^?oNTBk?yVmq)P-D1nKVX`rrKa^X#+t
zIp_0#bzbgy12c2a%yq5!uDI8=R<(n;QRAnNU(K2D)>9hZ=4$=goRY{R9A}^=Z1r8~
z)2iIs%h>UsMWK<tWlA-gX#ulyXRjRojxjg#kzZMGGqd-dl8A|_R`za4SP4J7>|kkj
zZM`-}uscCQs>IL3l6apMyIUo=fW^$NMbn1(bwPOLRmW7#RxB-Rzf8%(*DVbNEyi}c
z9^?rua?7^QJ;j*s4)nBE`o23{bGb^N>4Z%LN62ud@8gt`Ep)YCNy?ejvmGj#wi0~l
z4W(ge$}YY_)w<HQf#P{F^X77P>6^ReTZ4ktUbz}FKwXosA&gN03GRr*Gac}fgdoCx
z?XVmGtlZ;*w9CJqj%lJ_zJ)lDfqf)?lL3p(9TMxTe2&$~7w`%lkKR<og%`cz;b!XX
zlz-+Bzg{Zl7$i^}Xb*U4hOdax<UZeh{4QeKwdlnY(#EU7aQ~Yqgv(zo-3SIlZ_;tS
z@FZ{0#`%569xAtJf|4;gt!N8^bK@s+Nu*yaGK$7vWsSBfQSXMiapSi{{h3+n;ad0>
zz6`mm+&t$E9|ee~GVEG#8MRGIOLPeSen(6iz=Mde3)?Om4<P}R(H=|kIOt_m%gC@K
znx1anLjc2*MF|&S=ZLc?h0l1g`SMrvDB_A%HosdNqdzn-gVi9JRkVQ7xyJ`Py^z<O
zk<D{HkDVA@Tr^DwMK+#?>Wx8fL+4C9S`_-rn4c{?KbHTfG1@fxT&*rH5Mh%1s$c8Q
zg(mUO#+vHyJ?p3`);uVvJHY+ZL9Lv#v^kC&RI_V-isotu1D*guc|~c93%E*Zwq*Ws
zw3$y6_e$GE0S1z;%%=y8Pd?BgSJJVir=Rpjd15M^tZa$(PIU)AwaWv~7<{q1(4W1b
z>?J<w%kb(oxLorZ4j4+IA$@X*iRkimizTD%<Y)J{`}?J=r%@l&`(`%1Fs`fhNxjD&
z1UK4mbE5OwVEr@<oKeS?pM9-l(FcN1E6R5IuF`H?qvvL}$qyCoq_#d;DNZzoSRy`{
z<a7kx)8bYi(H<A@P)AmF!ec@)pVzPW6NJ&c$y7Oe?t8GIcb@UnH6rhfiki*AT(<X^
z$|3}@%MTlprQm)4o+#68J(lO3oPsf9bhCcIrz~}!2uLTGu?;neDtV%@7~i$XMifQb
zhzffSAVWQBY4O>Xj<#IS%P3sDTu)b{;}@(pOSjxQl<75p-}Ao00C2>jeu9}QBwQcQ
zv8uDB#UN4(;)V!>p>y61KjWSHv9(BBUJbL-k_<yN=9ggNlNe^=*Bo$ajw!Z%EJ-IW
zSNp^&kdNveQo3Da4OS4jQ^fL*1ynRbZX(m}yXQU3=pQi{qf&E;5zUEbzDb{))?^TS
zcaErc_;lZ{=^>B5{dn^#l#%qI<s#N0DCs^v)rWM(Ae+vx-xI0>eN7j>_9DWdI|Z+e
zr6R-TaNVd0zNUq>SQYX-fJv<4{f2Rryx{Y#+Y$;y-$!Uzu0F6HC+^_j++)@v;C`<m
z0W)1ntjZZf7iSSCapj13&+D@n-~NpDujRZop$wdYQ)%MJEmiMRp<CMex1mT18C{J4
zjyM|X@yeN>M?r-9%Fo#`>bV>F@-Ub~(G89#ZR@8=9a)V8afPIZai!JIDfpf5esZA5
zQ@ZtLQU2jm;0!nWcn1Mk-<qn+w8mtsZZdWr8H#ab_npp<jQFudW01W2)SH+bgkd?n
z`+;+A%raT{@HAU)%*L(acvju>wisq=d4(nV%dz&UnVR4=aZOO00d;TIJH*U0?x|i<
z?mI%M3F!U9fsidHCoD8Lgv0f?{^rYoltz{Dd95a3d*dWmKhIWO)ReCJmJtgKira3c
zGIQTTo)b_fkkcrixc?@yzMsh3xL^0FyF1Z)IB**nNhGtm)w)A4yhQ~n?fkG0H{24^
zc--zBM?`+w!DmSqU|O4rhe+v5wHg)g0=uw~>=^K{IXeo0Mnl&v%ogXpG!FY!sU64F
zd&BGtc|5e%5lC&=xlrer=&>jv=Qp&DJ+VYefK^3`I$_gzx1PPp#@0BV&j2A}WI(oe
zXTzGqx5O_k5@1G(@ou$x%}RoJb7ldsGAXg;R-JOBxHe+r=w5OxGxp{M_+wZQtg<`*
z%(~1RmX1sB)n`Ban2<bQXR?u<zY$I9Nk9Hl>`2W4(T!sJ{qNYttdKZPv7t*PM0Lz-
zC{%)&SS&%=6g?4};&tawk!<sHF;)kO-d}}jv$nNcs|O##!!y}!C^<|cP!B!WZT@)B
zEECgSmmF>XHJ@9?XXDeS+fz3YkdzF}Q4wpkvlHNaWl4^Kqs@7<9l6ka6AGbPEIkfn
z(LOEg8S;HPBvWrvEZ-u;d%b1>6>>rJ#au5&H?<g5Io`jgrYxYk%8+tN;ER5j6jk>!
zT1Bv9lUeenh&w5&@0o6JUU#jAiD1FJA{m7|u^OeytmKokt-a?e2|;?@!bW%IwTL#g
z-R1$eQJ4V*f$908dRjUee!@2tRZb<yOcg_u{pbc8=TF|ee~N>@i`|Hpr5yD$j(Z87
zio)FVY7^~CNv@uN#|-t+IaBJEwKhTok}t<=pQ8!aH9$XRe%aD_9eF#tQ5pr3^&Qsa
zHa=WjQg)u<qN~Z_D+!3StP<iLh0!ILOQp|_z<GIYXSKj+0`by0hhIWQ1cgLh*Iln`
z1wTwTg#FMoMWo*&f>u{-eS*s&niwVwN%<Iyw=*2(NxV0riyy!-Fe&xyWu)qtl#BAC
zP`-^E?1R4Tt0OwgX4bC@&8&J8<OrDn9Z4d8t)=t?6{laOtJ}m-xHqSlMfD0(?%QX^
zuV4JkG2Y-DVu=x{`K`gIX}Z;@XwFUU*7`y{C-71vn5UzlU>&l!5}V;XN&SKhMHl#v
zGF>XhnN_JkemB^^VKEU@MFDH_Z6E(!Xt250f=wO>r!w*^U?9;*P&LB=uCMqjWQIaC
zd82;3#30VzsDIcT_((4NJIGJm>qY01OHv3Cghwlb>N<mZKwUIM>V4C^HH_d=&PE%@
zhoLPi23Ph;SreFh8)rD}z0s|k9`@C%el@UUfLH;}LVq&cJpXh<yRGQDs_%HaKtaJR
zwjYdf0>dcpe@@?;sffuKfBnAM{7O9cHL)F)_OqDG2WH#zm^jJMF!irSn63EPN{ZA~
zq)af1Y^E`8Yee6Ti4w>Q%qf-jSR_17nbz3e0OQ^{RR(=iL0fD$Kkg}gJ!2?bx?502
z`kkcJ`GykmpE&cFA{tGZ{=q`-+adcU?)x6<UdZq?>1E391-b7&=UX|_0UA;f$wW8x
zSgyP}0m9IJy}FX<==@W%La{j3n^D%iiH&>4(em&0v~|eXT2o#07y-FI5R{UnsTES{
zuw~^MkYbvpZ~`$~pMC0Bywdja)Fku&OvTb1hWqr3GiK{>$_KIJHz{mqBU<O&bDddG
zp}WDPfW2B{tJ?P~FT<_Bk#irCUei9oWGb_x$nZa7m*%`&V?&xS%Uh(BD$M-(^D}Wu
zKAP?u&Z8RG&;unv?VBZ_L?_L@x93wl4A%zxyKP6-2}`M-r!Sf9OV=)li5*f^@jk0~
zA<0J#i6w0<!pp{t?RCQs%Zz3}bfyT^`bM**5s2TrqEOni8Ee*6xN~sex=Pd$#ZYUI
zX=4AiACHf(Rm%JYr;A-?^>0!k)}6F&U_W|3Q~f8;>u{%nPw>?h+ySrm@Z&WCCMQQu
zJ&71>HiOs1Wg;7Gg563@N_`xCLw}yXlaq^Vy}njVsj5S*s5M&*ynD{*UQI?jI`JlM
zWM$U);hm9W@~7)g-0&#N4!!UpW{U9f+|gRi$Vt{b=OC5-<7|Hv&#8}BG}&rfB5%$P
zyN}0C--mY(9|=+opM|?`oSvOzhBK^gGsgF;T>sJPqDMD2oZ_GC7mt0~g`#U_h&^vU
z+^aMGj)sDvwF|db$LH&JGRp6$va!rcse@&0CI}H^pQ^{wfB$8^({}5NPY%O|ph$-#
zn7AS{&%+&e>E$s$=y))P#pk!n-9@jrVZfq>haxeW<<>2vi8QHy3NSP%6h#mXKQ&_)
z)?Yj`>4j1EbK)3Dz+Tb&p|U*SXB|ZGm3+Z0U5-}vhs3}aU9;hYs6S<!tgXd#eZ^~D
z>$O_k$E%T|4fV`S#}h}(NGCd1{DFITzH6~uBqppZyDL?sp<3Rc?DJ2iku*LuKRaDP
zDD>IIPsL}HeRpGB@q<LVT%KE^zo0pc9*Rat<rmP{a}=84_9hCzh_a*!@4Gx+uG^<%
zf=y*mN|;X<I+|cLcu|!iMSoNfjz?yh%O7L?h$S*^Mpr$WjXUz_jY3L)yvagn%t*CN
zldt_DfC?S(cNy3%dJ7RV7hy?r7<mhh19MX^)w|daAMZl|IG)pVor#^&bF{B^U_bo0
zzQxTy02<jWOn4^u*?k$m@+84W8(fcjNTKhX(4u8TtF7zS&qF2j->k7@0uT#_PFCf~
z0b=JvrP6Q}VIp2>=WKjwwi&7H%^rG0n<UNKF3T5T$BTPNY43u{$)?+lD2X>)qatJm
zvufLMJ~iI4oEE$~cB#4frE(G{^QqJR_6J%)Yv{Qqj>g>mYv2u1CYrTN-HoHdyX}>j
zN+s?O4sinn<H>n3MQ>4Xu{u6zBui0CQ1R|l+7*)=&WBryyeM*!%FZu*-s_0>l%!)s
z)92tNrR|f;L?*-v6LYno!w>9+f9pjvb(S7zmv3XKojW>wCioRwmoNbv%V~ceT$7kX
zBq7viRIl-yM00;UZ`BM8SzD$HzlNS_^j3d(DQtA1N)<?0_C0#%dqQK^5>B?UWfudV
zTQRBdFssPar?OB{0_p1K8CGpIlX6gNAjQ0}bX=o_7`B|i@+<HeyU@}e08~6rz44`X
zG~A1RNh5_sbS&y@9A&ep!)ZB_0qnP$jKvn6TUteCle{|Qlc`#2H<or3?eA^!shMfF
zbyjQp?aY{x{+xKpHqrPQCZs83b~jTmTPo-(@}$aXS%x8nVN?N(yE<DI*S~o!cxM?1
z(7YOPh(*XSUvR}0dG}s#yUzuGnytJ?AiZ$P8f!lmSgiahAQzySvsBtGu7I2$dwgv=
z;GYceQWZYIPbA<{`c)oK$ZY|(3`m=4cWu4x<149?vGz(!nGc)iDQ{iv<#EZlJPXW4
z*+&~2qi34^@B)FeE>P`hT$FVP@x|<i79i-5h6VWr|DDv=yqw|TE!hkssb%^?#dP^c
z39&dqN{@)EGq8L16p1hYslTrW$t4!?!=_`PfU;=KciDFa8v@$z7)b>7Z<p?@NHWT1
z^dvkZ-$w2KW!hwn$4(gq3x3>A_Njdm#aiMMxr|7)#XN;YD;d>{3NcQN$9XutU8N2E
zyq06iiT&pkN_|>h8ra1x7!nR8O;uR6?0$6^)ja7vpM3q<FIha8@cTP6F!4#V2MH(9
zBgAZt=?WR;A(D+*g+9<yN~P~@=dz@!IZ1bkk`bl<=y7Nl%fiM>Vw@eE=9zwIYLde=
z#OD*oJFi_XJyaxTG(&&Wl>K@?;O?t|zjL13^(8z*<@Z*MG!=J<l*SoZ>@!U7l&bV6
z))f<Gsj~UAhL_6FDz++}4KjvqzQGgDG72CFllWF0;Ob=0iBD@Z{!mRQub7~n^O8EJ
z*786Y>qSwr>v~S^?URumE;A0g{aYKY>`n3lb^cMqq(!O7pw@OFtX|tElDFdd;H_mg
zi6%!|;?_?@0U5!!JFK#CaU?~cYd?27l}X#-$J2SB&hEgAO(%$axVo-lC1O{lvy%48
zSY?)Lop(Z1Q*LDKIuc@}?;XtWfm)m{JphiFB~88U$;SLTb%2+2QC6p6BC~p&*Cp;Z
z*74K#k^@Bj5j1nPlBL6b7J9wqRC^wWGxA+q2-CGf*1K<KZd3XSeO~nx2eN4<Db&#<
zO)Ap6za50lil@YvY7$9(Dc!E9lk(ckrffXN)ZNulzj4l~MjO}uLh`J=Ax}l{ow(b8
zswwRUqqPV;_d{AJ@1NiBGGZmuA~u@HONmuQSJTt1h*&c<A+?Z7eod0@H4GEt=X$#J
z%e^<yQ;6-?0cC&q#r7>6z-VcyBD~P?9HPO=M5si7P0FLHG?7#EE9O9rr@c~lOI!Qe
zB&yN)h7KG3?^ayc!CidM(LqBqnrjUhU<UvvBa&pKR>TC<3M!s}`L~j!DDx8pUs>}4
zDreQAD3#pLjD}|%2fyGLO^qMd@HcT?vs*&CN2jW*oq=iHhZWP|wwJ0wMGi(<STcuc
zbwK=lbo5d4gpc+NnnC>0!czXX(K(MVn7adCXvE!51Wd!x@Cr?2mFcVfjJY?s-+KoK
zw{;0)z&Y|dhqB;z&u?ovbW^LSQ7O`ED(`VCM&S^MW-@;HD0i*|;fSMxldk)>gkjhW
z={GwnHliDLJZ}qLa+iG9Jfs(%C|bG=O_e@Vy;)R)MZqtq?oG*#&5N>TISvaXt}UlY
zI_JMhgzpk>A;$_LvT*$QeHES3f_Go%d8ZYPIO&GS;`?a(JM-_x9dnQY7U>Obba4d<
z64#a|2>I!gJ+cl4J`y?^OUS!)3zbyS@3ZIM*wIg7Z5$l5Rt+2W7H`eq&KZnjtCZg3
zS4sUOGnQXqc&_}T!`qcj(4B;je}FVL^0#u>B^Z`H&@DlJbo6a|$fq=r{8*uoUD(}B
zzUVV1;+*<j-j&~wj;zDMX+SesARBV(=-9B{wLa(}$~&LD{wpHpoffMfnu~y9w6K>C
z|9$N#gI1bpYGTZH16UGDm}smMxxD%qJO6sjl(UWG0)o1be*<oRy~|VJly`+0*rZ^X
zGvZHyMguwwonr_~G(3QEoWil?VNf2)*FL&7Xt+cI#q@ROKwS6x@ZIe#mo%8*Y|=~V
zpm&ENK`k8i#Lj|s_+b(HeK>0h)r9v98*cipPj8`Ik{d)fBM~etf3ABobB#{WBLdtv
zo>MbX8~ttOpPps*-;ox3!$gCu+^L~{!vY+|_4EWHGrtUdt2=!<Zw+jS9k7^Rm=3^X
z!0|Z&V!`6ksZmCK&{x!kLThK48CM=l*6f<qc4pzGYV!%^!hQ$(Ke@!KuL!i@G&e@%
z@9>?ijHYNTWhbwogluiimOc|EE$25G1`)k(JT!b_*_(Bae?)E_#h;V|6JrVqjsoeG
z`p+6N$KUFZ92Xx3eKhV%On%expvSUoDXazHV-1+o@i;pk=?)0|1|qp^T$;#nm9gmL
zYZvQyN_%!7)94RdUl8hOS}|a|)&z-S%&!MXPyCGOXtto{+zr7S3ZG=Q4wTEL{W%J)
zw0KLl`>=ghil<idA+5?Sl+3B~#SKfl)zYA5qF0R$4tn5p<8hZ({sa~SF=uVZom}+y
zzP$xL2*JiG1H>-1qY&0QOZt)C0=`e`2`L%6{2NY!`tpuSb)JNu8WK~u+jn<iHn3O&
z22lr619!4^qCBZz(Ud1XtWGh-xG{Kq%a6;2rK|oPzFK>gO_P)p|FYUN@B@}lC71m3
zx1|qNL!tZ|7Rm3?Lj+9&S+_>OUKC->fg}p|hZPT9h|z8M@QDQDJcs_d1?cmzPFm*z
zp=8VpkArVKdK$XbR=Zj6lK5dstjfPG2+)SDACmzgezPHK39y20Aa0b&@N)v~N^qhz
zvAXWHu;h&VEdh{n>3nkEUbd%6;-7?1P^x2lQu~CiV0k$wBt(rcBiS6RIq{)^|CShT
znwjNz?S@yX)d0>FMj}`<X^3WI5fqLoe8uqNi`KIqvZXzE$Zynt*8+%%D%J`}e%`zq
z;gX7xk;vxF*nD0h+m<3?MgZSQBC)|WNH32yAwm72`2OUqtf)zV126dZiPmPE)<NvB
zN2pYg*hcX4LDyif&XDTF@maA1$zOP9k${6|6*(Dc>mSxb(#U*u{pBSgF-PJMPHO;Q
zt4mYk!GK=)a3$|t(-gh}4zE@fp1W_IEvF_&-TzLh%Acp{GY;a$?p_ns(xTh2W_m?I
z|M>&UK$;wAuHN`qj#ZIyW_P52*Z%l%-oIafg6gt(@arP47|QOd@k$2ckt;jt2g0sD
zIT)>BwYbKzamqIklHLjx!H*8j%^5GlxrEe7sq)$6Y{!|twcd1gPT6(KY#_q4Jifh=
z8@y^>$#f1@=#q{$YZ3b6Utv(drr~pttr}g6cmGUGkr6WbgNx1Wuo^S9Q1MTtD5C6;
zL)#2)PCj(PQujVzK*#Oybu&J7#nn&=&uznUlgCCYVMT=SK-!rQB^kqm1g3$kqm-S$
zwPNuxGVU+CE1`||d-4nUFK(f2@9`R(R)%CYg0@rC-3bTlO~14z@6L?BNw*tm`5i5|
z{)A=&!_HGbbxR<1Vv$1W<1gYiCYCWbbb$Eu6~e=Z<l7rr9c&<t&Ug}5f@qul)QU0a
z2knTBd{pGm;ZEh|`HzPj<Ap{Ia5L>4d;VwZ>$pPCUaB-=mfhr)>dw4N{@a|;+4129
zgl%j|5?6<aVV1ThnepNp4i{`Cci6-Bbn@+!Xs5kR3*mn>c#`~@W%UNbQka9Kf7nc?
zI^gGg`j6lq2_OfR?(Jy{=X)}7<#|+Kx-n}Yh1JLxL}4tEvNZ<8OiQq&bRHS-sZzll
zjS&-nQFG;&OLsJN?&YGI{`R)XI9RN*t~Z#oyJz=V%&k;$M#56!h197tV!3ZTw+b|+
zVJaxbbV?v1`b-H$S9~U2*z@oPFr8(x$t3?AH7bepWH4%X^fKGzfR-f@QPzrA`bo*w
z;on(W58$@wsb!)ah-?aAS05^Q`W~BJ2A!*c<6;Sm!x`^|kPy+56bAFdb7P4EN4Mbt
zi&MfP0apT@q3wJMA^rC`RA2c_%Ov716Hu-~QO)FM2{$S)OWS-3v2F#{R&t)y&Mj1X
ziM*D6rtYHb!Q(GR=28Pe)FXl^4E!`I5XavX?n_P<KzZTT9){2GH${oV{7};=!^)()
z)g?0A%m=@;XBxel#n!xYUAW=H;(jz#$HS#MCy17l=}qWl$&F@UPKgrAy!Ofgj4853
zM@CMaB+{^je0e%3LkT%YkGMHjwd;irw(iJJJSYEmW4`^CrEL$55ZUPIdb>_(#7i-L
zr>Yn4QRZ#!+sHl>3M_dz-521G!BEm)QA=XAW5d)rlnXhfZPo-sP3`?m1A;yW2oZud
z%^4(gM&V;l=*)K7W*~pf$^F-ce?|8nFICdrN(hWDOG&iN@ooQR1Y1~wMUs`AmlE*9
zm>K*1Jq=F;{*6M?(i_WcgFv~^pv(`T1KHeonG^%x7ddA@tjLk9G%jet6^VeG@f7w&
zFQ9*$O(hYg?b6XV7*c<Q3u*#5oQ(40jg;-j89kIF^sW#zyclU}cRXJMr0L|#ex#lC
z4x_rJT1OE~-!$ej8FX_os*|ThsVDU6^zQ6!?u*4zq0E$yrCv^!i-T1;yS>db?zwjR
zbcZvyd7+)0Wb9ZLi^4pGEb{tq>%OC*)#iKX0Qalz?*gWpJS<voQVJ~mI>{e6@qT{@
z4&7`eB=Yme`?O=L%FKy<J&ZE%1;Ak62Fhc(u#J-IQ1V5`)mEFxGcxgYICFM^6d$nw
zi_}t;*EqIx04uq4_vdiq6En>fhd!`833~6;BI&%hFLArLqanogMZ=>d`T8a*Awt@=
z>jx>8-HVWEwyH=POF>)|A<V8s;6<I#1!}{EaGe~9E5RJrduRK<X$1DmWPhx9T_v6l
zfz{TWG-o_hBRWYVmeQk9elDJFTW4TN2}{F=XY-m;Aq+?YLnuCiDjTxFGQ#(<h4wnZ
zVj&^ziAZSk=`Az#_-*03e70(iW?hK67cM9cs2Z+^&M%c|9E*<+sADMvf4dSTdcG1-
z_#k~@x*E`KJLPfgq|2{=R9egv{QR{&a~jv)Xv8F=Aippx-trK@jpG`&b{~b8z0m{a
z4f}qs^}V|#$gTSEYc@-!|LuGvEq~YqO1yiiip<!K$={G_VRZ}^FZR0+PElad7u1?k
zcbS;S5LRw%A{j;g2Up>~)2vbXn#rDpi_n>iD4K!KX<U3YT+8<@-8c+izS{KH;$EV}
zRZmT^t|n*AAj|L5LCW``IiEj&ZgwoqRh)i@108gt_=<Bx`amcD$Afq7N9K{jUnc`L
z#Awvstep+hy|;gwnPM2jw>rP*P*130FwQG0>AL@JR5F=$&>;d|1n*9*VCulT&y3z^
z*`EA9ka-6Ea8R1cG0liCNb+htYg3unlL+Dhp$%=>r$8Y2PF5(m70V#Yc?PDm5M$Eh
zt-Hc+x=>O_-49XvHM%-DrOnpb3^k4j0ceDlzG9{yUiJiPM?<`;)%`m}SI&VgG9Y5u
zc2hm&t0<SR(kgx-M@1i*UxDPS+hM9DXXp`zZ-=j|8j((mq)65r#9}a)ginv|6)6&K
zVBf34V3Z2calFG1UcoXu&xL#NdNKnMqt*{jocik+D2H2Fo~mst2a)sA?HK*UBwOfl
zGm^k|Kdc{+toACK5935~GV>_RvOTpHcRP9pPU=0?Td>%ptN_bfOcvD~8Nj<l_glTF
z+lZQ$h!hI6)n?97*pPG+$9^$g?auOooAWs5!}{&)JOdi{^EOB1JFIP9Hew*luie_0
z$dbmU-UydeUH8+#aKgY(mO!eFl(_EG0T<_R@l5TN$-K-#e_}n|>a$3&Tv^AqmxP4P
z_?!@fXhB}+9Q|cHExZ;n9wXXH<?suKncd9cJ?b^l>t0@7#LyIX1Pt8|vQu&5=;Bds
zn@N^Y^R7O3DlbOeM&m@5s|bq7sRM}nel<?H<Z)74X*2%;E3-8zX4%JGV2AW8*6uhm
zu|)!Nn(xf#vknr{SQzkA!CP(wI!|#|ynT$zeVBWuq^Fd#YDim=g*G+`v&^?HXrWSy
zZ;ViM2UWXjM=R|@{AAJ)2-w`6B?nK%QLfF-NS&OXCI3YL4!K6X@L+*Ojc-hyDytjv
z%zS*po-4eAj?!uF$O*6x-7Q6)B#)VNeQfE|c3n^X{EM_Fj;uHha!a#^hnwVQhbi+Z
zRF!=e)qwCFLD7S^?P_%>rQk(IxC9YYwnbOa7pxoBf$s3r<A-W+mi+ppT!LzQU%3n(
z8WuIG?Tf}<D{(j&a-wiYR91B1KFBeghLwH0;GXNInL=*hO03V=_Tj8Rge8%Gl*`^c
zq6e{f=w;U%Q)bAC4FphL1y9TFTg3|kadPz!n2R$a=2qAR5(wV@`RWIMp0}<@B;2+<
zWuEYYD&61jYw?Iz1j=oNf^#6)4^cEYJ!Y&zWgK_-K2~(OG_DTi>`tdV9Smox38V98
z5O}G}*<wGJgE1wS9fAmsBU=0L^2Zw>8Id*RisYr3m6z8YV`}^KWRc1S&iEV<1BL2+
zR9AQT^hTc^SU*j0&;LP?wg`b>n~L)U%RWt-i}j@*z8IbbZ$|KZ{;d1Dw8<;SPqPRb
z-|4}jDj1j}nG5=V8xVZwHDsdEQg;BTm9ah|a}~e%z37DBZ?i>l8k3uUy5%_5^J9+s
zt&_sV;@)dw1;3wnw8DY!Coc;78N5!yCXp1z_ny$`&Y}RHULYVc@UmTTxvHHMZ<2zY
zikAeyb4T_7lrE>JP(I_@P*XE?b91vXDHZ<l<45M!!>*@hrmv6YRtMsTLceq4Z783L
zkPl0($bDij+|D0XlZdr)bl$g(!Sc0dwv0pP0^Q;7TYsx0bhj1)3yWkw6pxwb<A*&D
zVn57WCyuPs6JgFr1Vjqx#$)7qu}CKoUX(?N`j#gwLZu21qA=7L1rtyzm?E6&<~YbJ
zzm#0x<LhAg@lC7YufKgX;B#oT@#$TcK`ncRH8~e{i!i@@fEI5&@A}%^L3z%nd2Zit
zSl}R%XZ{j^+5Bqz=;Ty4H9lVT3}y!)P6$Fpvp478WN@r44&OkD8S*L^;7(iYAK{zN
z8ad#<73u9G*$-d)rU&MplmK2IaLV>qbE>gm*>$HjBj$DNk0I0;#Fg2ivs~1CP-Hs3
zh-^qir`&RUqW=@|Zk}}fAgA2T8(c34tOt-ld_m<NoC-y$1P^VzRHEw3gp6nFD=7Vh
zlYFVZ*eDf37dKSi-_THQ809bD6qL;rxFQGO5MD(+JxXdw5)|6;JvVnn$h3V0ob{P@
zG0ZWRw-&f@<a$qZ-(G~ixfN%G4&D>S9&UDbDc{Lbq;Gz{R+iOIf}#zDBl*bMq~F*V
z%EuI9AM)v#81=>RbgS*mT{?34?~PA>KVU(A<ho<a9Af~^nHXn9Q&SU-u<!#0RWWuz
zC-e8BqAgWD4IQ1ig(X{Z+8lnMFGGIg0c?z!ZQd1t76`P<ia{ZjHPzMZR@kN5EAgJ;
zS2jk#8kt-ET2rw?w4ch+3pHcN>=;zK_~66%EAzDTIanX6K^3u*y7~t4Aq~)|U2aq0
zP&PO?=#YAKG3=RPKs-Camz?v>@O@aXc=-haCALWuH+rCGcK^#iVDRVO<trUeyT+F>
z`q}iJ%2xr=7BVd_#)#SN>bW+Us5PDuPs4D_IX|}_c(=PU9`SZ1;v+CO<I$icI_TdJ
zoZH@kzZu4=LG?*PPwxQ_(5U~SX?x<qVLE*Ix6>chh5dx(ul2=S@Q7Ws<2h;5dJe7$
z>impR*r^s*gNJ#Tiwix)@Au-Qd4J`>@}wFif<P(+gu~ykjb5a+kBE&yA?@gk`=i?C
z%RfS~Ouf-z6O12AT@8;{2R<w9bFNXp507fEy6D%Wn6wjsJ1NoQql=&Se@C_97R>*u
z`thUgqAf2LB5!htbtbDpR~E;ZKn)TsI`!&CG=#~z;U;JJZ>;F}Q-k+z3=Hy5cLO@R
zI-a=osj2Iz{r$5;9Av<ErCX`*7oF-uc3DH%H1$^9kwP{RW9Ezb42y$K;sl=e&j(=v
z>x(C7%1TyYr7Ai)I!IYhfDn4?DHp042rw*=-Q3))()1er=~Ev>{qG6K&7<TMn|3tX
zInB1Nf9@49$)@Jj68~8>JYETV{)@*4xeR_Ma*htjBH7v588)JbmzN+Q1+ain;T@Q&
zp65aYmV8J$F623*i_=!&q3k%fK#^?aUSM#)VkrWDEMCgG7E^)&qqMx7866yvwMM+N
z&JCFNI|<6GN2r)I@Lf~f2P?6fXUrK%u@}7}7O%Ikv}DBX>PX7kasPYo8xrL(o!?67
zn{XWk$`88fJsO94g?5v&o7HQ4P-5&zW7rUF>hVyJ*kR=el_lBPOOzi?j*pKscR);2
zy(0*lKu)$b2M2^n+T)8zmotw0Z&tHT2PD3*N1@xIQ^=g;@bV56HRzlot-vakTf?EH
zA*xoT{}m8|?hidVIa$H#OW|9!uppM8%+p^iD=&9;a&#0B7aMy#ebq9Nh-ur2Oyns)
zQ49UFXK7<YIX5{O@IE-9wnQ{rksiN^)(GX1hII`M3bZ*K5YN8t+fGZ7K-g=1G=sIy
zS!%Y{c@CvbwS^41;*yeZet!Nhft~CQ^ceN!<)i(^f+<&Vu)eb~p_?xiKQUaYm0zo!
z3L)XK6{%~*>f|NlS=^Vm=H_-!JuTdE|KRZL{QSHFM=7;$r3s7V=N_E1EFzVqW+oX5
ztytUGDD*%B^$T1R$qN;f`BIM$xZ`pFY`DIA4<sY9(4d69xOn}aMi?qAdFS&fe)DS#
zZZxFDYuE;*>0v8+AXT?ir|2ISf<Hka@~QX3GK%Fdrg_j_&g^C`>^bXUED{2GAGkiT
zKd<Pxzs?1oN7mf90NzQVJD~i7KPwd-LF`_=$3PHcmVy8%55Au$kRvPGxpoOPXZL*x
zoa2mxCiU;yQ1ZbjjEMoijR*|Jc`-pHo;H?!w6}m6qHAe(cIU^&%RnOCOQx4UcuTxM
zSDVE1^3b5RVS`&TtZ$7!ZUX&L-LQMM9G`PwP+vCD>+<QqQIUukGUUx_G8`1rI2o`-
z5IKZ9412<wF;vwb$pKzZMg1R4s;eUig&_yvxR3@d5sGSOBqv|^R~hwf+q53_(gV??
zLEs?Z!9lH^ogK@)bQcgBe-D%6olnlpxUVmD2ix5?4oYWjda;5z^_+_d0)xuX#_R18
z)UD=r3|P|b?QO-ZU{pu}>j_cWd16x1GH71;I1WjJxJ7v*JBctEJ`YMG<A=Qwje9Z}
zs2*#Q#G>c@YtNYnk=}TH38>ddoZz&=;P4OO{^JzFKu=G9e&v}jcIwtJyH~|;b@*OV
zvQMdDmI>k;;;jch;;-lagYuj5#y@_>TPZLUPH2*A@6qP4fYVz@!3QL(yc`RdFDWl?
zF9i(`4#${N%iOmw?lOX+_?Eld@CwT7vz_2bGM<^DOwn=b7wb1E-#?7KJ(DQk$x$@^
z_9eKJ))0iitLE|!q%7%)+A*ZlC99YDw^0*Yw@ts>nY8K!){a~y%yObKmLBW(f$8{?
z9Y*{=V&?6ruikni_1b`uig-m(=%$isduXaKntr~?%k?q9H{lq!g-*Br%O40$zxc9q
zizLD{8lYR@qF6vfj^8BiYsz-1$?Em$U)X9r5aP!(o2fiZo|cX`-kxO#mjywuWp?jg
z&{r661z>$~86enJ9xqy1TE1O5T<Uh2DT9Im$4~gk4VLc#6(SlBe%QV|ceg$so5im@
zf#B{cQjzuoi<L(PP$jM`c%F>hp*hcT<1^xiO={Sl)S<$(F_f)a!*)f*E?7_GfOfP+
zXR*kke>+xOe%08f+s#1+VEu8~_wV$%XyOD-?`>KS)PO+66%SAwc=rYpP;EX6=3{gp
z;s)+kGA<_?trH=x^@48WMMX)8%;wA6>zxW=d^0#7@aO}PDftWcSiA$*xS|B^Zt=)<
ziq%1ninPP?>bMrO7d<fNsZy_wIMLy1yn?ku%iIv4t)i*PSJmEr|LWx49~Il1!kaJf
zEg31PA&niaLZ)X>fyEe}QZR@V%5KZAvwANcl~g1MqxH{uf<1pmpQ8@;Jqb_fx9%lg
z@={4l%N>1VZnEY__;AP4eCl7<wdZ_s<SJ0XT65?sKqPpxTT`}`uJEW%ZA3co3I|?t
z##A?P6O*;Pr!1|ud)vQD#0?CV@J)3w7MDOx(9@tOv6z7a5hkX*8KYZ=lFa{Lc{c9|
zZYuA<@!F6Af;oz>Z(+i#w1P-TOm$%bxDbd4%7bif@#9K)<zD1?AW(LoJ=N(V;V|We
z<WZn#f&L3N48?Q`1Z|dj_I=PXTu~{IZ7QyT|D)vx2H+sYOf)=N?SWxE({)Olzl~Mk
zWTiu5UmGB0`sdHX5m$#-I&ezl!{@$bVyCV-JB@Su%Ak6IYN0DP;f&IN8dvHzXWh`y
z+&q&w;Gy!5e#Mfpo4gq*E>zXg$zXHZo+J=cMO)l;UBl?6=g`^Fe+`#{(E%7kKbt@p
zq)H}-9Lj?hNG*>H<tYtzU|DJDo88S#*T_^5TkOQauTWdJ2W&s5nQD0mq2)q6Y2R-s
z)8mI}cL7tY&Ci;$3cz^A{K;+2NU>VUIfU4#@Jp7>4mzT>&v$R>Y{k>(^C(%XHu!>3
z5pLb4Zw-8LmRW|u-Ks2J{HXp#di`bbVMo2}lhdGKhmIp~1HphCn!iTn&yZ*3kd1rR
zh92Avq53+uG32CH{S^lxt)P<?Ly94u@+Tsn&b*Qi9Cz||UoP(|>i#J#xkj<fT87`C
zQe;_CqhWR~IF$!NEH3tI$(FNaZr`=g-gMC!3y~O2Uw#qFq}nof!lyH1bryB5{mWHS
z5IC+;d?gOIMTemQ1b}Y6hoa4c91boy7HVF?lR?yT?#B-(8HESPqEx=_Rs-)D%1h9Y
z0v(0;z9vAB`p1v*5%V^52EMa<-YwPD$7dzw&BeU#K426^3Pb`Qii?Ydh}wL9<w?5%
z-dKQWh)to}+qaM(iD@Ch-Af|k;>bamJ8f7U)DjWk6Y=trSS}O{V&AYZbPQtF7jU%!
zQUU@3Vm^E0$9ICTD8QDj=tvym7u=6<2>uVw=2~xlE%?>3OW*HDcIB`qp|6skF!HU$
zU)KlrPBCCC-~H$2c<xbEwAY*WYMb8pL`1ncISAt7b}GQBc>oSL<{Wmo#DFd1j<L43
z20rs;$hNM?`TqS0_`CGXQ6%%{q(bLa(FT*>l?I-^b|-UzT)rztO-xM82EXR+`fNxv
z(LTDsqRm^L7c2)&_qo4nDwmid=Cxh4V51`k&)xpBaL|z}*$6-nBp~@+Gh*Kb(B_n+
zT!}NR4Kk<{sDeY<+AH19KIaw}e+GR(D1aVn{uwr%&iqW|-D}hcP^Dh@-ho2^AHZo!
z>dg}C*3#fqKzl&_Wsli}3bByqWis%F0{nB<7eyg6;L(CQ{!vx+l-##iTb+gsgPhlv
z&38v4`nlKC`QEIDj`>J`EVVFpmO+2aOJRP`OIxe3;0t-802)Vb3_>Y#^cK(>Q&j#u
zA7R%M3k$CSx9EWdLk8T}ieW#q-`fC+Zw-HhY<=Ul`f&Aje;<Q{JrCPA7ZC-+6#?ed
zRIb3ixzO>@0jOdTv+Bc+R{B;3(oZ!8hlWZ30sb%3m6~#LaxxA&&@V3nc&94#I^c_x
z)UV}Po+HG>-Og*8WjHbV3P+K0eI6{3`=&cAUuWMJf=m4Y;;E>ueH%U3;<Avib8YMo
z&LBgfY9<${sQraaDRj#Zgbxi3b=d7rS2b(H>7L@;I&`T$S<T(FdfYvOFAFAkQG`y5
zbB65E;rv!w`Q{mTd!q%MTBRT-H<I}1B;f<X^Nn^Z#a&&Zh~Ck;p<p=j;8$0R;Hcv>
zxn%nn1BS<90Q%Zq4o*&IJrooa)-QjQ1qKE>SvSlw<a<7attfxE7))f0HrsS27Lk07
z3Q8|*<;?w^m_%{k`HQb8Il68>X$4n+$dje_ENzm&3#w3EcOSn6%Ik}RgLf>glAtyq
ziynNgXb~1yZY=`4ud}~U|HZhFEaE|NYjxV}K`!803H&VSBkXhr&y3~e@{qdv8->r$
zTVJeK1ya3qUxZo(;JCwz3f1dp!G%4~f;Y^9LfJpu)-*?(<pMtOlK-x#5vzpA5_1;-
z@l%{x^YeK`??*WP&p&oEacr2n|M~Pk-*jXegq8faD<9ty#0Rr_|MlaKFNQr21FK+T
z&d;6E^yxS#N1b%4196sL_+~VfOV+>0Aq3tA;xILp%MkuSTNEj0jAaVhWcAJPTQI8d
zPn}(|F;gBvDdCliRo+LfWQ3pf6N-kIUe4ClYr|iWHEJ`XRK|y3tu-@iuHv{KO(Tdf
z`erB(u7iRezKc*P3{O-%C6@0JPO=zt60i1~*h)BTu#mLZNq%Dwv^CBpDc8dmtS`>_
zmO8c7skD$b0>BP0ZT28t{`XD%FN*vp3H~2n^2g6!$4?jG|DL~UDxUoRNoN=&N2=s|
z_~=}F7RYDt2Z!vV_<~lv`Z2oGQS2z4UjaXRoGx$1#o>bsD}*!xU+8iYgA4@P?bim&
z0N(Jkq3t_xV96D^+(f&am^#}DAAkYOrn&_h5Ql>nsg7mnY^eWn(Dxd(Xb2r7;?TX#
zOyFdgqwmY}8H)K%>pxKp{BjMqLM=)i2}KUmIe2%<wA;yNH!?Lg+fx^C%<KG!bm~ZN
z20ZxK*-_ZOICv??Gz&y<H)E_by{O?rCY3+<70G5YyHZD{klEnb5xV$C+@^971+(4=
z5_wQkMV}}sh&_zWXY>syO<f^Ac$PG8NU{3`Xsd9f+dqkQX#Dy_DT!KA0dT=r!r`M5
z)tFO@RZ|Z>({NE&_j&r#H>b4mI|i*WKN`(*V*;GS03-~0v3@SWc;h&nAQ}fp_{D|f
zg)G0Imz;~5y3^Rko%@L8^>_E}8%MQ^hMld#Ofv%og)v+%F0Ki&JRLQtg|)SJWnEp}
zYK4Q0%#eYfh<<QLEo2%G1Es?J^Jmh9$w^hzMN-_RCor;+krBP2kMdP#jAuI>9_PEc
z;;Xtq=MTM)@;^45DZYLCHim(O@D@m?p@M$-{5efoPtOO*m*xAmFiFsnJv~1EY}w`C
zay@$dYxN1vhp@}!%A|sVg67Q3%+Mf%zw}gaBm}>*Y{gAeVYtouaH^jo{V72=t1iSA
z;h6V4{ck&^F5)qE$G$?x>Z`)Rez??09Ntl4j(5*0Z3ld8r*&0~q-XUNUH!q?^(u?^
z98`YoRn~3Pl`@n=&0W{NC8}rr72Pu9g#&E`obGj?FC3E4GCDdM3>hYj)daiNcgVVL
z7iKG(e=TO#2G2iy1o%3L8{dhwFU-$-6Y0LMOZ|5(0PqHEg>(oer#Hqr@=8i}FxBqB
z&AD@tV+p5O-x=<x55f!c^Luu|M)+9z*uH32r7L2d)>C%-f13(Rwm$*zhK2@V1OWU=
zKp*i^&cWeCQq?K-o0DUcHwSPllOvQ2M(_s;#S23<W@FwR7HJtkyRg}4`obH%_FK%3
z-!|YE(S`Ke0}$M+h+=OWnhHP4sCOMcQRDrWUOw&_$?31DDFZ=DEIYJ#_pH+j!^g1Q
zil*7aMr7nCJ9o|o^lsaQ!$)L9+$c_T)Bhn(O_coO_5UUg@_m<Lz@Hj3=##}yKnA!_
zMipp9QPCA-dG7q-?0AR;s&NcJei&9A6nNZrqEeD8{;r_gpAYBkcEZ={Q0@={O^FMY
zx8`rIt2YOad#?iNfgei;X(ho5_KCAj-QM2TEAaSRboqBanCiIm$B5dJt*g)W37Fm5
zL^w1x{4<muH5Pgu+D|FA8Vkw?o>7$sua?)`^gl8XZ9fgwUH@M)(4^C0=n%iKv*Dy`
zpA%tt9EUf1;qG;u3|<Bb#D9^2;t1JCBK%O_-;mX<P*8pSWs&KtMH*E4?=9}Hh_#8S
zsVQuI20&F!&8syaJG-pR%7&Lb3Ct99q?uG<hCbkd(@=X0g*3n1eYm>j<l%wl6)&j%
zwlu1m);rPc3%&eXy5fh3YKr(B^{~y+1UrcmEBF;T*26&L<%dRWBh5?|04LS}s_y+A
zYCv2FN`a5n+4k@8H%?MR*nL@0;Xd=#+g9PbnE#!D9dMRVI=6vP_OJmN`7aCqaIjT4
zqyN8husA{hKOs3iq~h;bYO5~vyXrJdix+Y@{$p>!Ow*bR2<exsd9#9sOG0{LdNAKs
zL|NN2RbgB)Hk`_VSlo;NQyEHP(u&*o3~KUc3h`C2Tix#s$!cAD+`|VU^47_{uv8AS
zsXQS*%c;@<APN!aW>xmtIupN3V%BNq8fyM?xkUWtW{izr?9YKh@=2VE$*QWpu053y
zd`I2b`q=Ak(Ms1oFM{enc~iXr<vV_+DACs{xgndF`MBk8kDNP7yy1(7@8Bh3khwlh
zxI}gl0GFO5I~3Z#17sD;F)=ZjhIS2w7mrH)z3qOCOkN4A|HF>S-@m;uMRKiX;p;6?
zct=f|eLw6S09gIrp1Q8vS_?P?!9xK=9xV`taL@zqfBpS?o55JodQ9A~tr6x$j1>$=
zxMcOcb8>Q$*%<leLbEKbYC4wbW%vR|11(ESZ2@|npGCf%90{sgg&v~)$5*=wJpb%7
zHwHu=PiuI^^xxHsYsmb1zVdH2vWkmX_!*s<TG#z>QnK$c|9Ts*S@CJBY8XFZJjkZ8
zor@~?k%x{?POLtnjo<mfg3ph|J#)@xo(X%ZYPzj`UUh#`63AibkG-+{e+2IAAAv(z
zWLCS|1cTO#Rqf8sM}fP)yXm7oy641L(W=t;(q=%s2O>Ki4;NP?L2MJi9MxlJ!_C9P
z(yu6?x!Y~ad#eE+R6y1bwwl!v&5of!58VABTQw$@JKk$DlvF0KQ=z?`9QyA)BJV1w
z|FcJB^G9Ab?5KaSKK8gnaZ3dGl}oI9KwYt;Fk0+;m&(NgS#ucna2i$JavLaOw`bsF
z;lqW(4~!~SE}HMfs5?>S5kjTr7WdN9((Yx4injeaXTjx0%-XG4j;8Y^LwKLVjFxOK
zQztjV%k&s@p-D+euhn#3QZXhoX`P41mhL>l2pcg57Un2375w{l{v%?40h0wbR#tVh
zv$H&4I->(yB)WJW4?U1smMNF~{3S4)@z%xJ#>NKK7tgS2S{fvb9|$H{A?a9)VInUo
zEkGdMC@5EFJ{$T0Dj>W9!dLS5qHy+c2h|L;k2{z>W8~(!YV-DQ9h8wzRKoZdTN7{Y
zhZ8}z@~*cDJhF9Fm81zj?f>NKm)YlO;vkyy?CI|p<&2xpq^is8J>GILB<?i?Sm2YB
z+R4_bpvee>Z@~Nz7a*)n6%_}cjENP6@j&>li7Ngi=&B`F4<@+2OuGtOSy`b1o*Z@;
z_mdk#29zLQ^<GmAL3TlGZZhu)Bd7q)c+bZQT?#838y^PJ$V^QAoRC|C`Bt|=+6pbK
zv!UL9Z!`VEjNus6Qezd_|H@gw=8@g_-8){ZPIm*EYpud310c$fpXg@(V<(CuzC2>k
zkBzgN>7C2Aa^Z2QO1}mXs$=J0bK7r*eq+sZV;FUmyjwE>?KjuB`KbjkS74!=kaA>~
zVz{$$z5_C6lqeP%DA#JTU)%SDJFpA!>=1|dpv3Jn57nj@-_zPTxIelf^1a}RC~Z|I
z+h4vu(k^d=u2$o15HGpG9wm3(347OV-kMiS#HZI>FU%5m?%$~C+W#BdH_q7<|B=!~
zyT=y|UE88t%Z2$$v@gus-Ovsn*bdJ4RPr|-tw+xHN6ppkh;EBo*ty1wL;@iP9|OgO
zZtgkMqRE`o-SwBfpmks3NU3H`@y_=4N5t=Jawn&BnXb!avO|Pg!aRCV%^FiR#3v=&
z6<tfVT0%Q{pqlXPq-b;dM))_OBKT4GH(cz^^86mS{43N8I!HSZSp;CVo@3OVk*Wlb
zXACP)^nG&6Wt(>s2%!J5ot67HCXXw3Oz(fB^uM>$I{M!PaOIv{S{LEgYxrg<z3A5?
z*Nm0FJhHN4p-;E(!09ej;wxq=viou<-8sT01W*%vJz-y9kqI_ot1d4qWBQnL7-V5#
zQG|)&KZd|7D>mAHW|BXB-E?(5IW;AZ#40Uz&y0_L2F6PFtHKkU3&h&>4Gk{v#TC#8
zER*luFr`5BgJ}V~oh?_T@q=SGtW~#)&p_{w1ho{El~dn~layjd6{KzOoh^p@9cfI>
zpp{P&KMS9l1phy-hQkdp{Xd$e`^XCVAoxxH&UO6bRZ*NQkb9x^JKKL@2|EM#|A8f4
zMIpBsfa+Om#M2^OB%t0(IL(5j0bDE_=y{A4eXazxXcxRg;pwgPy576IO(>j*WgjEB
zJMOaN!`*vNb|gT=$LArTvkycLEsChII{tc4b5xxU*>hJon25rAXz8p9hn6n21$*Tt
z$gimkXPtZX-mA1v?>ex86z=xsMQQWK?AJ7@5f*#|2DXUzpnV1}M<MT*YcGdlKkC+h
zsu6hA(_tCk=x8_Sf4E!45w+z1F!$eTq%;qjYb4w&-R1Q@2nLyy$NlZqJ3yT-=}rml
zJ=w2czu2*0lxkd`R8$=9L8GTEe29x4cn;d`jpNC_@G_`+g~A&`vReY8mA>e)%bnCm
z`zP7W+Kvbm^V8}4K_jBOe|X7uAD0Wh-Z3Hn*6OWq!?T^t3=6*5dX^7=Z)JGN<ta`E
z8_tG;|Bd~8y9z9iVilp<{<t;JZ?9?^7&|+8|KGHV{M?Mq4UK-ms9p8nW}JfV(Tuy@
z37zwMgXSTDh5L}uVCz?Y1)zbk_<enSJ+)}e#mPwr6^3+JX3P6mXZi5w-@n@M+1Z<~
z#ru&GxkR+4IC6C6Y3r5P#UN;0!2j{Aj66JU4uIR|Fx->%krtY>s~?S@^bkNl#M+S>
zR5|#}%xA<)?d5$qUg!}{vX1i~4FD?l_pTN^3GNkf{V(OZ`j>y)E$8i{K=kd~t+uf6
zV=(cb^7k*#c#ZPJy8;S-Gz7owsQwYZzVH8GuRRGk>**-)BPA*@kr0N|oHRlIy|iYO
ze<$^Ki8>kRJ~*hJy#%7c#?GEilXj0HS=@{Tv!gNu(I8WiKEdM1Ak<K?>g;4^XT{i)
zc}huq)n4r`(rR{SV>or9)n=hxuR^ztpW9}>RbsZ@2R%z(Y@IePit(ta3A=mg5c_?$
zVtlc8aZQbb2|a%EOL8n5WZy?uT|do~%$E&l$Hxj*Pt>|QUJ5q)xdZo2UxVLmB|jP{
z>*Fhr=FPvW8`oDaS(<eEJpYA^Llrj@MXgAx_iP6z*KV1~e@k=m9y#7BB=H}(xJEtk
z3WF1&tgNgTOt7;`idiGG;)!6uSRl79yyW*x0F#rf!^WuKJ2BlM7dPD0-}CeLs?8f=
z|JZRwdQLPE8aw!p&iO4i8kBj^RFS|zKl?!9Uts|lCSgJvNnqk3KAqawi*~d1l%Lu?
zuQE%Kd2yh#H@1()3+&cO?K=ddBf$t`F^ik22*U+y!93oGciH2RVrCu;>h#8M=hJwx
zCo{9NdX9|Vbc2U08^i>o(Kizc{}*enyOD1=XbbXH2^EY5eU4V{9oaz##%|cd?Z1JJ
zUK5nVtxX8`e;)rsf&Zbv|0@b4QXlaHR0yPGWOOt2bBV`?3RJQEk(o$hVq&?ZC(m$k
zuP`0(aFt9U6=0Q<{%pNf3q%!cp{6N}diWA|>81uqGVvmYQHQp`#i?SU9wgYfN_>X8
zq<llwgb0nVpeEF@{ltKh3pEv0@ta|}z;9r$>qdQ6S4`hO!2JKm)>}tK6?Sdoheqj=
z25BV(q(MR%N=gI-B&Ct=Zh=8sx>Jy$q#Fi72Bf5WK<Vxr;&*)B-}`*uAKzIESPK?&
z&e`|AcU{-sH%{IoxG*q+j(c%_erI{Hzv$>o%|b$fI1~qtr3Y%x^-?C6KzPo%%B){U
ztT(IYTs+8Sa%M)9<fwPi<ZoQAGlb$Bo%G58|2pfSviBQp44f17N@-@;<F!j_<5>O@
z6Ng`#AULED+O_NfJTwVlB~7P^gb->@mH}CSi4q78G&X9GYE)m^Qm(P!KK=$Po(_(d
z5$jd?Ndg)^EcL8N`B0aeXkJ8GB=m{&|9t2;F8EXrm+=6#Xb7`@V(!lFuHV_^N?fPg
z{oSnu@xiDv#3GuY4WdP|y|Yt=?Iae20v6VtMIjJDaY?#Jh}0i<Vo<gz7VVU99qqHk
z?Cfm)ah_V|m0l@OWN4QqWAX|RwUxC2h}L<m*m_#G+^UAQp*>ZvNPBDq6e`bS^jrl3
z33v<y000<XNe?ubu#z@&kw$7IvvM-K5YT!>e%l47mfvH_Jf?{WDC+FYO`IbBr!Ax3
zCV&5Sq6zZEm>KLJhsxs+j>^~w2@9*$*|%~zdpfC%M{p0cNP9Qya(j${@XeBno}`K1
zl%00F8sr(KlPFlDd%?ym4RUL|c-(y>tAjhzuA5*|^Ru&8cRkOgF%PSg<Z@ym%&BqU
zP%XY0$N6(6=cqm&5Wu(>@Cv*>-O>h&l-?W`>8&8y<&H~exT~Z@HPfTUCL?ve;ntJc
zg+1s2;DM%F2D6`>oU{i~pY5UV0dlUUj8;z?so`{h=k7vtt?jR*r<&PO8PJ=8zBWv+
z_{_A_n~|`E32VJ6RhUmbG%M`Vd5U0J43I9ZstWu#lp%x>`z{3fLSxI@26evYC=6br
zS>S)UIPvicaoknO-ne)6@kP@D2KadlpgMMvC*Vkki%*H^<1rtHc+mq_xfXgF0DF)=
zxG{)ocqBlq*GzT%MkvS(&5s671pYR-w^x3kVNVWt1$2-_LiQmU15_YYM4FRX8jSU`
zCqW5m9iK$<vgymM)`If5D5*4798?-Wl1D-U(j3ym!^1mEx19kg#z;s<c77HY8aLWu
z11#WMOUw1Wu>IVG2uM$G*4EZ$0*Ej~A2V+hp?;)j4XdLWurSBDxw#qST9Q<Am+|Un
zALqjuw{~}L<f_-AlQdCOK&-@mQ@4+=FAE?H?oUm$84wsxr@_U<?rbum1@FH7S`OML
zz;YFhbCd8-C?}k}Xv4cJ*Vor_%r0C(LcqFu8sDE0T46gXYdgEFJXr3VNk@#$@Ajyg
z%F0R|gDP^8WR<TQUz67GhE>(pzC!dUvNJy~B0$1eAaQ~#+Ku?p?^2+$va0HSB}2&8
zRI@})a!zpQ0HX<_9k?(%>rDn2Jy6o>6@_4|b*o+FPSx3rvu74xSpkU8eO93H2vlHB
zxCPum!$Y5-xca(B-A8I3v<dZY7H%FMQV&hUz>3rgg3fjDkCJ+n{k*i!q_hV}(^`fM
zUOg*>dB>GnQT1AYn~aOB^M$Rar>8nAsrN*~o-$gr&g4e1daltfl|q;4J;=vcy**f#
zl6Q1Ghy$Y0oP<R8nMSR@Tv)ZmxsaWFQ9mJFwsyF72hB;eB5RFDcR0Z<l+mgc)RYbu
zW+s3j{6m|$-c-Uf?J#H?sB2HF){ci%*?uX@P;V5QUQ|P~QkuLU1YIZ;j*f#GQyW>P
zxVtys*qOe0g!%$CaMYU$b(o5PE+Cj_`uIWoB*e>1|Nc(|V}PTAg2Fa)1MDsldXoza
zIO=1GGiY+(nNs}q91O2~?Lkmc7;wM6y^X_YA`g0>a`phA%qX4(WELycgB$GU8}^8{
zayGZOuPZF{B!So&u!^k$ls#MsmuF6Rd)graGD9lgOvYh&NdqJa6b<&gk@AI|3(c+@
z66x>ixOcd<v%ytrem*oFySvic+dJD}Z;Z9P1TKs*UL_lew%~g4=U-qp<*I3AwNU~*
zCRLL3`wQ;x6up#sY#Fk@k~71@RlguwN@=ODzoZ6f_zi=xIQj1GZaH-uFY|r786tMi
zrh%l^9>s{?txK>>2GYY&!c}}soW{Fd%CU;kzT%?mBP)?cT;0+15*|;|K>@~<=>NxA
zMD?}xEGmO$*0F(m=LtXr;u>B5UfAQgM+t;EfrB|gv4KJCp~>Of!rIrwZ@ah$#A`v4
zppdp9b{-a-6;NR9#nq?7$Myw3;vP{`exa80!kdoxp812`R4dQGwN#K$_=o5bt$=Ej
z7f32_2NPTDJX?_bW$auu2GMes_jQ03wP9XLi>%2)_LUawGQ{1toqwh%K-R*%BfU$>
z|6_3?+*UOw5d!vR3r)@=L|{o~CGl!18+sE#(6)-(%@<Dk9VV4-(+twB&Y7h0Bp|GN
zsT9CJBl{l0pu&CeILJzFl>=0N{XYg1!xHOhW*@=FmHwzVMV4Y=-@siqQd54{CEeq@
zC!>w<q5CKta><H=o+n0(s{%SGdC)~r1SQI?x&ke7t3JR8W@s0~Kuuk3Z7n0b3~+ci
z>8O$^yccOl`_z(AM_XGG(}X*ybL8}A8Wh@GY6{kbv74W&%aYBe6?@0ZT99g_n;4lI
zampFNN=wDezu}Jyj;kKym~86qC?-jZRArDQ@H#`WT|RxFLU1f1)69;h(FD;&9~?1K
zkHt=E>FcA2P!|We*}4rRaI37yDf*b0n38kQSs6ik(VNKNLkWuJB44(x^rmv(V5geH
zwx=Z|Bo5@qWKfYu8FybUQ4Zk#(*r8W6F@u205{e;qYRc=?x@gjloywfaCIn&_qWrV
z`U<^&b!QFk^M;^plF=vpbFP|fYi#hPW*ba*s%?8VW)5-fXC%ou>ul?6NsoE$K|0V#
z4L5Bhp?{Z&lX0x79ro||w8!epBl(ihCpf}~Uo^veMcz(Y@eF*n&=VH*G6NaEX3t}k
z>p-X70b0rkxz&M4mjld0tP*sF2PFJj0vllX(+d{I6aXP;+yhkZR*I&!e$i%r-a-z^
zJMfk6*$~?v;D*5ijDW+nS7uL47;(TO;7tO-I!HyBLn>50=JSwhAvaii8CHcru3$55
znC2s@Y{Sa%O(`q%zwMt&FoNvon~mNGZ<1;Q;3Kl&ch6YQ%SyN9&__ayxElt+y-H>`
zfA>6S126!Vhi%4-C6SYpXC<Zs!;e?u*<j-Ah?c;J%T$VQ+xMc>TG(9+QRW+Kc59*X
zEpcFLz<UCd7yqD_y&7(=MbrK>pNX3C)!U<BMb_hJfl;!AC2bi8Q={XcOq4E!olrR7
z+qSLPBaVWHnrL7F;)O`EI4>H-m&}K=2v`dQQj8&EY`pXVK>n(UEF`<Xe<*xTn#}X>
zsX^&YVTT^w*vy~TnGPrq-ZYc`$D?xa4EPYjy+K20qc^1iYDHl6yy6(q<0s7S)Hx!6
zc|{_WPTK2-<@|Xi_dt3Wc6w1#ZE|aIynmZN>fB#(`zn5TRDsb@nvahd^uV{epsep(
z-l8!dw?7|N9aLs`>c*&_a)t$Xf==;)n6UHpGC?=rlqjVbNpk4(VP%<w=F%ST2jAis
zv^J$4C9o-;(mYBaBW4W$khV2mqO&(!Tf*<`8HuO;xPbKNX8H*y7d6@HaJED%P>u<V
z3sw!j>jQg2;*{|V?z>e6Kt~loE8{en#*YWgRO^;g!+{_c;KeFrFjUK3_V0Z^^<PQ$
zxIH`SxxBtr?&_k&UhCCmDXAV1y$WxUgDTEd|AKxqHNTC%u=ywR>Q@)lFdBeR`g*f)
zr#86?b|2r=`~kEO&Am&k1;?5R-VdBuMfiCs@_zegZPIt30i<N@U+b+#a$Ip7%eHUT
zeyT#gBEXIyL~+l3WIqw;Gr}$OWD9@HH~7;B-NM9|YRXvzlGuuEr10T<ssekWV6<w8
zyUb`e-|>RKjH3apipXk9f6-l~8K_woBM|_o!jEcuhP)L|un>Ynfy322S~@!Sq>=q-
z5c8KU79iskN%VM{t-dfs7L^8-uTqV?7n5G`Ps%)wP517nRa-5-ySsC=@Tsh>b{76y
z+f9^{N2akhlXPhezRD9R@Ks_A5>UEmH<G}&ZFexTP$<#s#XJPhgiNRcWm~+rrVLpN
zCTL4aggsMPxH;rU&}m}GfEkSyy68Jdhh&q1j?T2&d_zf8A1z??5e#D%XJ&LWz2-pw
zwwPiOhL&YU)r+Oy=nzxnVEfO|11T6ywIG(9yt+XeI^W2)F9il+bt;`V>-4Usvp9eo
zTAHceROdf>JU5^MelNGsGuD_~LhqX!SO@!2X1JJ#K-NtoDB0vlGLBfBzp0ZTX?#$7
zk|W{6`TS^4slN)Oa9UAn<@U?J_;sjsft7h0RLIUqG8+tlT`fx#SyPS$I%AyQY|N_j
zjgEoc*%`zMl$?^hY$?2)|0EJkh7u)>yphu$LHn)_F#=zu9V)V2P+eV}-_g-QF9VjP
zN<nh(PNjA@^mV~5qA33h-#=GLnxGDd3LMSQka&Lw|4xF>2wk+Zvuj&u*aJggT$6`E
zlF$)`>q|HsKB8$AY;SEXDt+`74!QZ%hfN&y)0FJr@`FC7kof)w-{nmnnl=GjFB_-m
zdVeBETp0{@t)ShG4OfB&dh3CkIuI<u*?;HWaR(4Y4rBo6k+rw+z%=CdH&`y(Z~SFL
z0Eu=eqHXvgW4%C^yFnK+tjf9J2nKqqp#6$$u=iwRP|v|P0Ra4NQ9Dq@ao#rSs2R*4
zWdHfVC(P2S3p+bPxc|!q5F)j}ugJaZ<R*<Y*wgZd_Gz*VDF<CNM|$^1&@CV=&CFK7
zKynFZ*%T;2vxfM+%C`q{$PyI5G^D}hU#9T5;I-xvxP90~C^Aw36Tww>k>Pai0U8$O
z>C){b7Ad7nG?R8HH)R5&!+b+U_u1$FcNVVUoP+&4_xQq9orPv!v4?}!06TAPMc055
zOl+C|_i`~L2vSBHg!p--k&(sO<9ug;zXv*H{hHDmYm>-&@@2mQceZA2l<=pKojbq{
zeBKHA-|L|!!SWJX4>6;eL~f@Q;D;$=80&(QdLO1-O}VW^7riGOXU6ouH)7`ObL;Wl
zBoy|z!-eZXMHXKFt-?NvByz<09V1KYBVzTm_2HfUvLxEkOfClB)QawZZv&Oz#i!e?
zZ>5FXc$aHp<q@nc!Ii<}^?xp{hF&x;92{DcINGij_MlWaHnQdem@oZTCSo5+2nkgW
zwE@RylSQf^TKc&E^T|+`jBr`RsAOBvb4<8VbQ?|;+VX2)4|?$!`C$10kjnOJ(5iI<
zxa0)_v7G=JO!!-XQFi~xE%!fyJwZ?5X<%TZ_>Vjb-lhpy4fltC;Kp)N0Uc;vGMCQ2
zhpj$X1#LHkbl?FX(wI0uH+SAr&+{Ld6p&A|F9wjn^|6xj0Ych8;%Go8wv)z~nHk!k
z@{QzYFO~{R-FrHK2u)OI?Z^ihitO}{tO>}@k2d+sD^!`lt#2p!I#yPYm_$P^Q_R)!
zG5JIPpM23e#JM1-87%Sfe0NqMs;^z~-Xi!vFWhI(sMOM41eq5kam<PVM4vlL1Iv<t
zFndb#BRCuNR29~tLJzHHF2--nJes410e+}R!yVR9_>?iz$tPz@W@L8*dtBN$Pi7^<
zOP~b9OCZk23xty(5UuKeK>90?{>%k95GRZ@wYR6FJQ^1qS_96T+W-HT6~u(=DP0(I
zje1xyAy+Qm1M|QPG;XaG4W3oBcE_(E<_I)V!Qb~psJ!Wku(_lU5^!?rgCbm$1im2a
z`v;246v&U1HZ0kAQp*_FeqtMeg&bYxV;mCiqLPx09$oH79=^U{l<A4?MHytffPD0y
z<=3Eb7p-frs)fu~pdYF$E`7hI3A&A(*LjShYVc%2=4Gfc290ny<O0hx2@&a<4L&y%
zSJQ<>Gyl|!Vt_At9E5^88+^{TRg8)0#upa+zQ6)BwX0%&ng+W2`u>mp*%T3yP3siw
z?RR%E;g4OJ{p}1s?dG79Y3r)vL3m8DEe5C~N7s0DB#jhrMzo03n}qu_#uH};!88=C
zIZ#IReFcUU+9HymePys~@}LM1Gi;!j0n1*4V_%gUQ%og5t-}Ad{SZ+92l)2y&ep~~
z`{@z+pCx^ZU$jv5Y}8|#3H2SfUotYvCT>@~Wlx?6X>hiw*s}M&bz4yk89E))ZwIne
z2=PE77Nm#(o&#3C<TN$MFF~f2I4}+ElLL^}4i0zktLI;XG?mWC&ZmUQN}vc}m6iLp
z0FC{8hw#RaFceYG$ym7o9$1Y_hDQ*OC>tM%6Eic5_eenFXeF%QM>e#wAWqu7Qv?X$
z=zu!<%x5p6)w`ljkuNC~G#{d`oL~%WYu3sqU|Oe6oUjI<GaplH-{vH)MfF{Pf<8bG
z`WZz@B-Q2&0$r(Y?(XgRFk=u4tqSk{qY$;AMgKSSDF!?>iaQDl<<tcc78{sPDy#t{
zKrIaQPp+ejQXeUY<hVIYfa`K4N`K^9yo7eC^Unf-W1o9QsE1V-q&pz<Lqer`l^X=W
zedOh3qY-BVLyl8jun2$pkmphWYA=vh!edt>{DbHmoHpubN9O(!4x^vbzpX_NzXkTO
z4mB@Nu{f9uevOWey`7w&Z+!)M2R@%Mxju5%DtECQ#!>A1j5Lz2+V{fY^ep)!?*FJi
zr{<pM3|xW;E+QGtW^CNu)w?(ZNTHb!gkLC1J&HL0%O<)2x25Xc3SFTeP8UE_yZo~h
z%ol@hw50bOb#-;o>gBQ!$Z7@#4xyg{g#F^|%n%PJKv!!Lw8{Q08{7jwz%cEf-fF$f
z%4sZ`SR*4zaJ<EYPm?u{VDT})=UKST7zow8Jotl_BtXiNJJ6Blc5eqPQm51lypV#4
z&B66y{dQv{33(rH7JNW9P~}L98mNW;xG{`J)%jAp6Ax;k3l*@7uf7f|y)n{rjgE{Q
zjx5YD;Gcs2W7?3w7uR$_VB`vE*+c6sozfIY8{`;c;;+Qbi1{09nJ89XWI;)(F)(g0
zrZp+p(bAVI1@>RcjyDZH35j;yf1z`bc{G*c8up?cYz7V-K0Xa7X#fR)boND(HV%Lb
zP;;cz!(lCjeuQk3M*Ge);_e6>?)U6rIdx9k9c!cHV=Z<T@QVzzUt?4~mJ$XT62k*B
z28EnF_V)7g5mMwQ;^fTIO*VhVR?N(L9epp!4m>@u2dEo`(?~C4AFS-$j@)`S^a|7b
z{Ag>-L5Pp9LYmNt7xrqaSA`G9@$~$BAEe6)gEb$Ke_*jP1;?7lc){0$u;tGztwuNC
z|JceI@1On6lo;mgxe588Anm&Ctl8*GPc&-1cHYM3kZN36+39&i0vxVj=^Px3KVtr6
zcU!zq^liEKwl`S+ndosJh7m$@{T!nS7p@G=%`Hbelme>ObR7wU7}*`FfbTOEKw?{t
z8|no>0Ej>5MtNU!Kb58!g-d{>zyac1io<G<*Q3(01A3h^mTucTm~N{_g)GUVgA~-f
zv6hxTQ0zsImoV+1*R+Z+bZDA)u}6uPwPrrc9)g!I&Wnx0SVqM>*KPB1=BSA#V0;)B
zj(vA<aFF|hpXgRO$SO|;ktA^c>C&A1pPAeMD(Yi`n59l6Nxb0|-pa4F1Davahq?y*
zU5EBwL5xUm-UHF2{I+N}sndV7f^>kahs%0BBaZhEO-O=J#L~vpZLgj1gSLPU{5-Lv
znOdMS1j99E^$!m~#Da9C0;ZUy+IngusR#fCbZaap{|A4cN;J1fqL5%)su1Y%ega07
zAlt>^Q&|;hLUL&!SRpw9j~k))oiluxMQBnp?M!?XV$;FvyrY5`c$b~g^z(w2g8NYv
z!5JpKbij+MwkH@L`>ef2rqP3-;2DFDA%*GlCn;WHybrz2?l6cj^%;Bz2isW_q$`%@
z{E^op9_(>l4>gR!5At--bVX-O?w$g?7&8%GD;4Yx_y14<s-Qr5Khyd<e2Y7Uzs;*3
zRx8zBOc5>5^q6TTGPLsB%t}Tg9<fV$a0M-~JE)_5=X}~r6{HIFJbZn3b}XIvOPc#=
zW?ak^l{av92+_M(&IaAPsvwO&jZ7oxGC)F)h4|sv`&!GP1$^~v=w%hnT_Gp&)1Orw
zkix|8Iym%#V2RtN*yipv#0PbK{me{#;TIds;=a(c!|vP&+_Fy^Br7()8_tAZYFFgw
zcQ&I|&=+PI%Udq(Y+rD^e!cQlRl>6D!-633X6L@$0L|nHciYu^rjX;j7eg_iw4_ld
z*e<V-XawZS`Eeul083^mgKlSN=YAE27aE)t=!CR=5TYeJdNA{rK#JXlLD_JrC!by&
zMe1z$$%|!M1?-aXzyMvm0@;y}<&5R=tz9*n<9LjZSAiX^m(@^)Ha#xp|HZ4}sWRgX
zn`%8sc^B||^odm&EUJRc?lO<5*d_oU?xrorM|DFSgldnCG+;Iv0ZjvWNsiC<C(y^4
zw`|;<H+HIuIV}U%D1`|`_<{z(vY`=9!s-VsV!BQJpv$$1q*p(639(=WlOw=o<@AwP
zDI)C+9wb8Y*$ZCR0frvh*Ni+hStIOsF0-)-d&*dcfsvgm!W&OcevsIWRQMzr=z)jK
z*40g%pPk*RX@k{bYV{XKkhp37<l&##3%Tv_*5qV=9G@hc{bRJzhLfl*(0_!33Cdi8
z;L)r%NLb@7)|aM<x#K3r^&^$Zg}%tK*9Qs5q(O??4PQ9)%0OsbWUNdzs{qzJkm+ee
zGQR9;#USxP>*k3#=|?UQW`Vv1>mx(xhn-tF5_gv?)wa{m?B?qFN9`-;$8Lp!C$a)2
zNU|UtjIa<Cmk;jM=VA{zqD<D_E6<x+o4+C$Bgm7s=`LdJmKxh-g0NR+U@0U=Tf6Wd
zS4O++-P*RWk%n+q&G?DK62yp1JFMw!B|S4cv~&V&PV69+(aztI23c71Kvw)n%^#<x
z)-?O(y)~XikuoYGD*0V+K%gxa;W-nU3bm#JS=-h2DE+M*-<^uaXUJC1s+B7Uxv|>K
z%)T0iV;F(=w9mz2jXmsS{H<uPB%dppb;UG4IkQ)ny%qk9w&S0x1N&cfD$5}f&$K5U
zXO8x5Sfn0-_4?7iBy9{wkRH~AL?Sn|&t$+-v>eD9l-Yg`$}tY)ezK}<a}C#3I#VRF
z8qc+r{S1GX>wH?23)(-lU~0T)I(-{v{HX5Bl^=#ih!qMfeCie@EhSbdvHZV&aTrHz
zSpO07?Us7rdmIzP@RH78m#Z$m(p1}>#j>F(x9QN-Qi75!=7^X%$Ne>RCL!Rv$4R9o
zdI6qXw0f@3YENogELR!zy{_#JJgOK%GBD;;_WAXGw#uqRht2YkPy$Hyb~Oa+{kdB1
zI^2&?GWz=Z#^D7a#WwF$Sgc_(r`eyky2^edNF_cKv`OW`HG`N<ei>>s`lyIP@MX0P
zZ3F3VZcH$EN3EH$|2-+EmJ9E+AsJEHw>)g*R+UPMz2?%nc=V~Lx3k*A3G|=`x6Pc$
z!jHUIPUVOX7So-M+_2*&YgId*?Z1j^S5%{lm&IT|D?}I+UNo!{!zl|o6D*U*LH^K!
zlXJ1$gQC!P>;uI(T=}jj<YSfDAr*K}c^2(;9p-}1?$u~Lv@cOGvzwQ3ezK24Wd)<7
z?#G>Tuo8I%(w4lx5M-*}K)$Y6V>t3B&YEZT$!pU>R-1YZS&l?FC(m}*6j+;IPuwS7
zHqZJ~icd@jfyqVT1H>|0r})9RrYeg^T>f=M@CIe&nK)g6OWmKO?A{NpfBmTn&{_+m
z4p`2r9_-o}MZ66AGQsa<m}%W3W|@qR(VQy4+AF|WFy>qr+?dvHSEFiPYd2dn-Gv5D
zBk(m_k+)wFPJX?nBCbJ9qExr%gA%W+OPiU}4O<HIoY7r@tiI5=H<*MZ4JOTWqFGnV
zN#Vv)sA|Pmqu7bgmg|=)%dwG?WbBt7_(rXCG+dI!@U$Kto=o<*kM#*Q@Imv2O>60T
zR!+8@!K8GP@;HJv!R<)+PpP);C?*<odQD>u{46Tl4C62%qV*#(F%pW%tK^%Het)Io
zG=7OWDzRy3lQ<W<e}moAn;nu0NqnQ2giBP|X3^nZpOh6GqTgnjTU&>(M)*})b*_tG
zSFO8Se6xW<#<^|aKg)z8If*-;q@>Sn=iN&mmbOLSM_4<h^U`=}J2L~1-$;xOh(hHP
zK8yb;d1z`~HO&+s$U3AymXy|5^hL}ANd{%05<j3fJ3i_7<h7qMYf|P{5Ip^@tyiVL
zDtL<c{FL1V-S;ph-QPo+cCFvAVGqSi*#K)1eR^Qh#p1Z>V8cHY`&2rpK=K?Frc4*v
zyL)nb_ZWtsJXsjU30-$*;!Y-MT<38v@RQb~KZsscM1;0iJIhy)II7pi{JL&CC@o8t
zsgm|ReEaSINCWz2k`P=a)#Ji;AX=;?4pQ_5iVeH5jpEwdN>S#t!N~DAu^ZJYGv_eb
z)E~`C6HfLoI57AsJBl7~Fxq12=eAlwQn54iONPQX2>=I~zXP+%nI3~+gUJHp=KaiU
zN_}7t+D{nQhB8A!+*1xcmd>|Z6?x<SA-*Rmq8c5!6BW+;eMG(2_?Rmt8VwqHxff*T
zyGc27A3a4}kR>I5iS8Y7<bA?2qa>em$`l0aXhv8ccDC?`bXf1NsYqZ;Trhnf3BoiZ
z?2!}vRUO<om{yNLF%92Yy?p=G1kVVqK!)wMC8HcuR<P}IJ;w~)(rv6%K{X&h{!Gq*
zE`&0kcaao52;O2Z5r=c=b62*V_8|^hP4^HJ2eyH6nWOn~tZxWp{h4?3rJ#!zgHyRP
z$W|VK9hNj8FJFuVoDA~}%}F@Or>C>7iZX!%9P_{k4!D@t-)-nK3^&x{xX}`Wz?H?U
zwZwP7$HZn|q`6~YWB-lGo6}jDA3<#xF9~%BLzOX5?BONqsds);vmy=eOj<9_7X1$P
zYCj-SR&KB^e&%#ucuWfmUhgX3@RngCuZUg{N6T~EucliW%PADmjyTLYuTvvblmdlh
zR0MMcEM?Ch5YwGE(J-j{sA^eqR#tx>lS5%7&wSGrc7Hobg7`SB`#Z$dQF=7S3wZ2=
z+)MqNHD4_DE^jZuto1_=vQGQ%^v9A1<NA4n{Qj~OAtAow_o3A_)kO~Jn;88{dd<Yr
z?&zsU^fVOa|5ww{%eLw9L&tb5pFd%gQdrB{Kn3vV{PZ-7lrREudUi%%2*cAp>jYtH
z&+u3Iu32-%sZ$;vYDS&j(}8UZ)jNuyeq~X0NdEE6NYX&E0RUq8tHx8}z5rxxz<4E5
z<x<Vg{FR@yh*`btM*H>(6V1o6Q+}wF6raZh<+0(0jD0ela09k$rdsdy&|<3j`^x(I
z$tG_N)P<woM9#&`(Dbd>n(mAXII74=zhkF)uNd`12kByr;;veGGG>yiy~Gf=)nhtE
z*Uh(KaN2QUGMZW$0j>5}OfgI?(SP?=oNy@c@r(6d-<0>I1L-JHY~BPikU?sRFY(?P
zRbCOTCa4p~hlVqPieLxg(u;2<W4zEe7CrK5YJTBURVEon$K73gJ^~qidT~0ktB0?C
zH7xGJGX?ts1+CZp+cSA|UFVJnhH}#`q^wr{P_@aWOL*=-01K;C0N4>FwKC-a(&>MK
zj`toUn=j(Y{A;UooUO4?2K?xbu-A--vc$&6%Pj41q-=-omYHRw9Ti6RAu0i;vRuzP
z-&%YZ!{&`)?vJT&g_YF?K8unfoE)iKYCDNGSfe@bDtjC%<*<z91j6i_KUws)R>Pl)
zdTc|0OYLHd235&hW*NtKn<FPrPu5X$BUQ+0)bP&(iL=v$o-czHjO22=Y@97WVrrDF
z4<!Qr3b~x1%WXhOXvL+)Z+m(UZefgyorn4K5q9%PbIjk)x9w4JiUA9JU^cyqnKRf_
zFd3xWKlrV*4I9~SF#(?kduE{>#B=hyPZ~|p0R7d8o}r^y3eNYZLPjFU+6fo|;qIdF
z8Q9{lUpY6K@aSQZ8&kqJ$uDR_AJI&<Nrv|xa^^s9UP2hQwzkChA4P?^R%yg{R_a#&
zt#?xgo862#9AX(IJj%;*aoF-Rs4g_rkA#Ugs4b>K*+HY_SzkUs;h#M19Ip&HX;I1i
z_KL3U%P+oTaRt5)>us-L(^50KFHGjwoTQR3JXc$C+TZFYqyDl6i`C=<m?CI!XM`Hp
z<!cB>fI+26`nj`F)hu2@BZs%MT(b3C@64%tbp*k!2sMC?b~3YyL!h(-r_~g4Z1KDr
z#rmWq$eAqb!o|zOQ!G~K8|8f$V&Oo}xFf>#Oi5fUIAs1jmVPGy1AaOM>xsi;BWqi3
z2$f_kx|G-9KSK5lop!FXpIRuc8;uo>$Z44M2)vtVxSuOm5a{Mp1G_Qq=fDvSCut8%
zSHZ-;fsc-`Q)2uCYzFx@?VznaDdEr)&udmhRv7(!Z6Q=AKQ7Xw`kx4Tz_=%drYx}|
zLc7y~5M>bHt$EQOcr`HGvWh71_RB5j-_1Wb3}7h8CvF#-^mb3G*Oqr<OAsF~JT);<
zJ>f{F<kqDSJvdjUf718`7udw@EWyIL_MFpLJWfkF_nHzsXpCOsS5=a5&q#3j;r6)O
z*XuSjA+smip~d3Qm#p^FNGL(uu&>z<On`uRQ0?LrFF_G$=2L8D?Q|)nnG9ON_3mnw
z6HR@6DT228;Goun^z;feS3l2Oelwlx;B7<GvV^+!Bz`a6n^O(1gOCqqY~D)v-PPfo
zuDv00>sWXx%tIn(JSGbU7PJ{v+=eY~We6reOaNlu|AkH2!;2cq(r)c{Ss1N}-vqjU
z7|o8zp5O6T9*O(O3i~%$wf5Qme{3$thVnz!(fcfKdn=#rG`a<DH&^J3slB**<${Q7
z9F+AvY`8s|#Ix(-Y8PT*ye=P!rKc-+c@y|E{PDd~9O@kF<l2CkMYsUlh{URM0z0Iu
zHLppFKyS^w*<xooIl2_(2+2J`R6MoMjGgniJNkLNb7e}kwX+~XEcp<ah>to(vX4IL
z#WpHQ?}}zL-4Q;xe(jX^aj8XBV#(P0=q){M!-#`k-Kn%)>vcuuf$xt$UDC>hu#aZ5
zf>d;y56JJr4u7bt_BE>nPD23VO&cu765aFs&Z*4m8Ow3`2-?i!eqw^gSEKlKgbWcl
zaSB~C+&d4RHMzgu4sD34rPB1awzn6m?6}^(e)GgF6?P{P<fsO64Z4jGYkbmeo&&uD
z`W|!`30zuh#tRFv<1v99!tFxi(J2&LJ9w47IQNwgc<uM4#z#X!gZaoWV(JkKd)Cbm
zmhTP&l>^iE`yGS;p@iK^7egBw%T`;-q?f<)MIrDw<a+h&WUC`%K}o*w?x0IzCeyV$
zmVRZ*al6Cuwm93$;=PC6nZ%XQVe#p*VW-7~uhCqa?QD33L@e*KxtniPLSJXpn%_i-
zmnXH<YPI|!e||0{JVtbDl@=_UG9n1+1`ona<~o9Mf<!xI#XRuXsSkbhVJRPGx@o<%
zS6z<?sHQ3DvhW=ACIY&LqUP=yU9z0kGnl5;Kb8%KbP{8mTJDpfbkA^&@tivn<UaFi
z;(O9MOvZ%&Ng)U&qoebSD>b*1!8LF~O{)^viHsOKDRvuHvj{HKIQ3JD@c5X1I9t~J
zs23o}90>M{@PqVoI}o?34h{~+4a&stZhAsT7`XMX2lP-}if}YO`?GIMA#9S(dr!n+
zL6nn55<}pT-w55(Vgz+#a*@UlU!0Q~Gz6{UaLoNUd&B_Sugq^!Z1A{$gKsicPtXNy
z{<59iWQ!2?nA#xzl1HxJ+^Frd7E0}O`JNP<6D@pqx~h|9Q1P3NIs27O?Dvq__VZ#a
z=Ubn{xd94sj*qnWnGW6>IKvO(C!99mFBpONorUMAI|qh-Jwq2fXO#j&P8P1u@BtVL
zRA)@Y6!A9PI-ZW8?ITMSw$aMX{QXm>uD#to<-(K_0Uw<rnZZw%fqM3>heSuZf+yw}
z=%?iGD{0BES%9WBl=7nhMnwrU62L7*1LFWqGuou3ie2?2l&_5D2;sXlSXaqO=*cgL
z)BM}ofDoBx0zjFzqP|&Dm#JuX-~z-850{tidZ>-sCyW~$+XA;{!++hHA{_4S_H-&R
zf@m4vzc0D<(f|a7vV%4P?q7FJ=8u7u#waE!jZ}kxt2MHau4M&~Y+(r2#%p0d?xJ-2
z!`kv-onIQGiEq(WQc_X@<fNG_b@*fbwBle~_&K0E0oD`@VQ(b&HkGKYjv4Gt8|K39
zU!--m_mT(!*9%Ku8p$sO0jiIFGuRz}++Tc68qqDpqRDQ~_4``oXy9})gWR0y@!VU*
zMw-!b7{92l{GI^0yXie2U!s8`k5@{jf4rO5A!rlfdGGQpual5!^cH@|g|HJUUZ;7Q
z9~j8j%^_R%VR+Lh|M$l367P+UOlU-r<4=-EeKzWC^}5XfVj$>W;m2MRuQM(GmtZ6M
zw|4i@FJ=e#6WW>b25_uKM*CO8v67w#ye<y5y&;;YvL$c&GRA#Xe>K9`op%!(E%Q3v
zl}j^1Six`|jN;qHEd{mNZ_M2a2YrI_hJwY4+fZW)KIe&|2QwYE7fiM2H0b?P*Hr~#
zv|gc<Naq&%@dMTtv}9HA9OA^8&}kdXm@;Fk=;cF(wovl-Gni7UCy2bSKijKu3N5FQ
z?Apb(WQdBT8kFRYh-c^d@w#Cw(X#QP@8i84^LN@j0;+8!q6ZCi1Ofoie;3edqk(c4
zG4LGi_ErODIm!xK+a6c#?5mwyPLofO=`3t^Nmzgf)aOsj=Ba{q{d%jVVsXP#?<D?!
zB|Y3)vEA?Yn>vg+bJ||B(75)?8{0+#WF>8?*L)B5CDzxQO>i`aCohN?F$F1WpZNoK
zV8hUtk=;ovw6yH~s>(_S1HLrh6g!T^!@?3<hmI=$yNaksM6|K2WV9`>gN<9LQ)%TV
zSS&t;On#+qW&3s;p@#3hA7Z8~X=7z`b%N8sjMbP;mR7y&o92#ya%>O&jJL)*P^Z~L
zKFH{uS?<awCro?phN4{3JFJc>?&R9@X%4rBrmwfOWNgouFjA;naLVB~uk&H7KaI?c
z7#?SqM|u}Fh<8)93ACtVIyKAe3tKHn=}?sFc$*&xZS`E(i<#4QZ=W8g>>a%CEcN{}
zH$2=w`+4@e`$3Ppe#?RP*3iDEqv%>vs71%cuy~dy;wiOG+j6WY*0Uym`Co<g05QeN
zCqG#HFRd#c^0-U^hulp2W;m9o!6OW#=cr!E<m)WwJ9^`VvHG2+RRrsitiF_N>^FwC
zzkDl`-@#>GUYJ)O)PASd1#c%_cvK%#0?3$OQnfL=Twf1K=;ux)<v0Y(j+|79p0Hx2
zW~Tfv7hq6)hgEPy^n|QGj<&s@-tLQ!_0I46y2N_6aouLOVrCbjPFC@XMro@m>x3Wb
z%xsISwxNRe3~h0x8N8mm;-ui6)3miw(e|2#nG*wiF(0awj&VGH^R3!U%4|nBVU5o)
z0~|AN5IBd7xaL`(Hl71PeQW8{Ddh(u!FQr2*p=3HX<F7^VKy0on|BFCysoMwOMYk`
zi@`aU{OLD$<O|rNwmrQY0##nt7_xUupDYf00>AxyHdeo(uQak@NP49McJmMf5dg89
zJ3A<Y%C+foz402$A)5Zfi*0?!c5Nr_E5gz59s_E&w<(580UySPuVoJAjX!N-Xz=S4
zbFUAC*PB8M>9dF^YUx|Jg(8Bq2yXMh?9S<{&0m6(kZhu4)A<}?1@Ta^;dd)>5B=u6
z@ES!8J)}79AZxz_A?Qky^!T$In@3U&;>Zr_Lk%LM<Wp&YQ22Z;u@zNzzHub3)Ks=p
zae=?2@*?`QO!Ui6BF#?t#w&dc=}*hTwbGZ04X+A3PW20P^TO{OuEArE2p98FB5C0c
z@T<n`EC)$V_d?i<)M<k!R}v3_$GvU&dxPM^iLIPlIq&Z&;PZSHpPAkKD?62ge9u;}
zB>H<^TI#3|8g~LRB?+^o&0A=M-%uFXW*kq$E|5}^OD-Ze_7@sEBJR8ftri<y4;q9t
zj6r@$o<|G6mpkEOV@Xrji+oqL&HR`y1@+j2@M`Vg@kGW0<?YbB<0-?T(ly#I2x5Xl
z8wT_O{2BO;U@d1ZFFsb_<;>_{`&Cc;htvRbm$4K>>Dt1UwRz8gIyREurD45E%7d}R
zwx?1>3}g+vKJ``akO54j)QOg}2^#%Zc*gl5mUp$~RZBH1{uQ|`+wHPM(Clf{P#=;o
ztMQ8H6UXA^?=f+p$!3%c&#|NG*2;$R#f+;EQ)yRCWoI5QykJ;`CcgRxe?^SqYYFF_
zc+u8R5x>EjRTIM7nvay@vrJpQ{lBkNe>Dy6G<b-V&$sQ!7JhvG^*IN#G!95SKd_+l
z$Z1B@9T96u(|)=kkH2in`Yd2TFid3Nr#{P;@usGeGh@N*^gR&ti{R^wFo6|R{3ObL
zjHs$QP1cw+{KUdcEaq7;(^%~^op^63PINS)m477`OV;z4uEpGmU*gfpi02cD+vKg!
zHz&O^jxu8%VFV}fI2ZJyPUhjv2EO-E*%NT9A_;}@F6>dTy`jj1*(062G?1q`Vj}@C
z`JCWC7;b&`{lk-8-Go$C7<+0nW;`Bx@j`N&%-q>W=9QHZLP`2K7XHED^&@|tM-qPD
zL_CViK2W&4_0!ABE^A8_-b-r_7>K=)!#L-C+%%+hb@V&2Hy@$U@L+TzzWXhsVryRT
zZNF!t1iaLAMt7c*Mq692u^wfhFoy@_B&YStw(R*r+w<K2l43MeB;GkU<`DDv0Bw1K
zj7I8>HTTtPPwI*7A~RkSDrWc*@P=M!M>BQEz$rY@x!?H#!rL=?<l65MhJSjeHDO_|
zV<xZEO0AhK*~WZBQe|ThY^I@od=oJbJdU4#eEp|xfbiUaKIujO+`dxB)}Q$8MFLH}
z+di9SN;<)v*pFb|;X7tfOrb*==$LNvenw94BrU~fbImdx8BT4LibV{jbpnIbc<1ay
z#zJ+PyRv~3B(#B#Hb<r%k?z{PX?;3i7M;?h7w59+&*5TsBR%YFOD1x=TpcOG`~LZO
z#qn)#!=i+@+FdmQ^4MFEbtxb~0+A~#*whaWz4WSGds6WBK}I-<B8{hrzU&v71L`*V
zsA80}QOudX$L+?o>SFhZJH-Fw>RX>zn8MLPf3Wq(ZiDR&g>xnv`QLq6loESZ9vddy
z>(N*v=^IOT`366C)A^VV4&E|{jH`=3OwDr5!ix#%-YJyXKN;jd8m9f()^ZSC#c=&n
zB+b>Yb9bZ+ws~)L(7Lkor1G}Y%HslAX4zk3*L;DrZ&rLREQ}p(Z~h*iHQog70Spk2
z8KHYeDsdcywK4t-n@H7poED^v%k%*4)hi`B8Rn!nA#9q_Jk9f*7yCI&jJ}=+yZgIH
zE@k0>yn_w1ra7=3z#hcT{YEb0y>PifR#ZX-RmRh0f6DYwQi62<^99YhJZ{?QvoPc%
zOT!}m9hwZ@$9N+&{WDcbY(-+bleCRFwI911DD<{><wd02L_ZKBzbdE3f{>AS1<361
zA1#pkdOy7_?NC%6-NhG}jSZYhWR`8yWH9V~-tNb>3SR%skL^?^DW)~8R-S9DYZ-K_
zd)gTNGJh{o$kRo@@}0wi&(yD&`SP-9N9m=`IAVq$`8t)7nq+=&s*GF>l=R#xz`4iW
zipBwzi8asCswz8B`wL`G8qSKmR1kswt`yHCtr}88KGKP^k@3GD^qWf35H)-ICQ7x;
zs8#E0829<fN1%T2G^u9HoCz)HaTrNYg1GgRe^&aFPd110U8c@lK@6|;rASU1IVyPN
z#3J<FS1=;T9(mz1=8>`KL}K&N(c_MoKiN~<eN%^+n-8Sdp}t6pzQ-btGjyLmx9%N|
zz<ibU1`!}HlBF8i<x5IQaZj}THC6Oor|Z(+5|2Ic4sKOMFxlUkgHMAxsU~+;uOSwD
zl>DghW1>3xMerzgISEcvpKz7Yl&NL#gmF9F=752PGGT{ojp>;>%)wlouIx|?sT{Hw
zS6cvP*m}zATCv(zG_vrQzib{`P_?<1#P#y%<g|Xb3NFDbIt^5dwSV={O4#>{l{ORo
z8F^SpVY_QUK#3}CST53qqQkfQr{2yUpW>O_6Sru+cAG?=vb?@3jYeNjG+eQZGUmzk
z=U!)aghnLv`E_DZ>V2I+-zXk04$C~L2VH%_O{$v%>OLif8Sea$_l-yrn=dYrz-5UD
z(ql=9_M~+*Mib3Ys%a=!+8AuMy@C<{wV2_OG0Y%YhfFWo;PwMH64n4fc26DD=95+H
zY_v4vX5`;(BvL;8oaGgBd2FpaVSU3$rqpfI>6&YVY4QtRURNSQ>yDQ;>+b$%u=)~I
zTtZiLD<BhpmK*Hf^DI=S4CX)a%|Jl1cI3Lw|Ha}&FqhMZ&#~%hJmb|CE{WEg59<)}
z8_41F!a9?6T@@-Zz}TRgih;<reEE|&ZaE$OwV2tRIQ?L!DO1kr0qG}253k4%5(h$I
zEaBSNrLANyK3a_%T#OJaDWX3?VahR${*KXnG?2<0H#sp;2Zp`e&$;8FAIGE_MIQ`3
z3^OkHu-Jk))o;An${p#bM!mVM^ruGfG!q&T%Mg~f-|hL=^m-l2Rp}aX^X3?~-swo{
zN1N}!ROcJGG6c|pPkicB%1wov(NY1z)&&@&jPyM#Uw9BH@pc885&0fJ^0ExdK0Fd$
z`eA<C5`VJ)B0=>y4`XlOUBZd7`RIxC=<oNMp2UCNsitL0_j$OjbceQtw+~Z2D3rrh
z?OM+M?&(;R*t^%6{s0n49^HvfuF|xsWnbKOyOKrQYpq>>F&p_*UATb0Enq@~ZgWdr
z@f@`zDI%x+h`D?DHqiJ6(}$e(Se=%#t%na=T4O_xgJC{2L}^MUX|R-8i9K)QuKnTj
zaG%&0?$JDqv;uCOcTOAm20gXU4`6Qh;1<6&PMK`<KP%p|h`q@u`DuSG1)xzs80^S5
zC^K?p@Drv>Zvo3Z{cjPW$Q;aZ<VpEl(^&?FLacWdmc4yHuCSnY5#@63hH^Yhe9f#$
zi0IE(M|b8g^=}G^hbCei%zuBC|J%HgBLVyNZPNnaf^G^J>Rt4I>*OLP`$89-?85#Y
zN!W}LX^>VO_A)c8BSCaQsgL;;hae_qUf@#YM3zog=+oboy1N7y41M{!K;D)qWhkQv
ztO{?^uc*%Kx2aso-sG}mH|bvz8)J{)b6lvo75h65$G0hgc2(DgZ^HV?w|)o|{~A`2
zq>y~_u8KNjyB>{($8)ym9RVrR*@lopU8-znT=TfXN@VWhjgjF>PICr{xjW=JW2BGt
z)lHehBZG}~8}0hQG1$kd;VgzQGn!1zGXh^j?5@j~YiUBJZ-_*>3ASnsel#X;pPvQ<
z>DHJlErAnlI{zhK3W{~muEBhz%M@<C=M->103;#Pa(qiigc+_WAaVrkcfWtirwp!`
z|7z&qwU}%*nC5x4bxuPqFmg1_BnuMIxOj8EJ`oy_B2<=`YtZ(T=JS~ZF;G@o4pNQi
zq~TXtG8@%&BrDlzSO}vBjLiW*Un^_!uM{MDPF1GH^KJD&mMlJ8TFq#!Zaa@ik?d{u
zD&RGQMl^^8a=7Q$TT}baCJeo%uW@-;)p>-INv46yro1Zc?C5xle8%l65VV#N9%w0n
zQ1(41pAr$|4Fqv}=8<HsA79GD<b<BTMb&wj#kK9h^9w&x3uF1Q7_REd7^?Ox=Y__)
zDCMkmkA}1n4t^C#{qC@6mgB5JmOWwmjy*q-s;!0<YsCdHiBk7mo%XX-z<+4{<Aye^
z!CKq)g+^J3WCkkx$9gNH(Z*8m{sJcL`#H@VtS}uT`y2D&WQ9I4a27W0z7UEz0Ry4i
z^Ym?-^x~$xNZaOHmIP=HTfsdz-}BIVTu?hYTeIb^5|DlUgxzgzm6P(1n=~EcldV5A
zZ9P-Y5#zQQmJwq)fG)FW|HN0j+zeb5m^-*S{Osk!W<2)oXhA&h>Sx^#A5pLa>(P(C
zm{ds}td3Bc9B<$iRLQ`aFqEd~6m>ku=-Lo-1Z%C|_fzyk4vcDkixj<1c~eI1-A*&E
z7IPKz?fIaJdyHylxvgCbHE?$~axuvrS{Y=lK7)~OiXsDUP*%KXP*Rg>BeE`)y3zhp
zuk}Fb)AG!($X|S3An!Oq%RwCAds4yETjw;Us1-|XupNN$C4EyW$pPm8=b`HOGaSC)
zbT0gE-0?8fWsSwazEO>Ne>^yy%og|#&Sq`{6){Rs)tAO2w{9~ZJZ(<g`9=EUvc)~3
z^tH`TgUsqLncuz1a`deILCX&NjJ4+^iW|n~Ff(!2^{Jvv#GY|}R6LGSBf}*-%v#cU
z*i4L>o$X@1B))g`LFoGtjR)v-Rw_-!*QF05u{@a5*EylEdgI@)kBQ%I27f1dBOUzA
zm)X2=nK0>x_`JsbOTPYOp>HGfUVlTh>Mb0x+&B7Y#7iwGiP+h&s69u#_%^=lg8q@*
zQWR&Z!~{Mv6cI~cbQFrCd~;pWY_b;4;~^Ns{M4-PeeqoSLKkL!LCv{*Ma|TT-TA2=
zY3M~oBl7jc-bbktmNN<Ke!RZauvaw$M;=%Cp#dC@93*Yhg9!)Q9ib7g>92&6ISpuz
zW6{pB|1e2avoGx6Lb|c%iUKylea)3)yD-1>YTL5W`g&ooyuzS!ulQ7$XzqPtA;_Ya
z)PbPShZdx^DvssYSEKQzUwvYGdjLjX+?#JB5{XTJfvt`mM_?be=V!L7my=6ud=}VM
zUsK}p4wY5~szffn*;-!@;Su<boY8&RKY2@nZ$zOfOe<=5u$HSE^oYf~sSvS&83yv?
znFx*6n*_r@(NdIZ!H5A}$zb=TxO4$ODO1K!9WHCh0*X3@Nb7bSpIA}?9mg4$&Xdfn
zz6HV>hdS7tF?F(S0rhjHe9daVv%f!-R}eT$?OIWunJ+#}Rj5he8rdxf;78+iU9tmd
z8RsFjRfXYZ>!SHml{_!D(3M@D4IH$pw_Yn;B%59x!v#i@m8J?}2=zQgcE3O&-!w?0
zsMTl%*0SH}$~T5KlIga%Z54o8b`E}dF!k&VpMwn)h*<`<>iE}RLB1?@P%3mYz<X(Z
zD05!3REyEFW1@yzb-d0V1R7D`c~ft}pZAzf6hU(kW{n!KZE7j!o9zpu_yj$Cv!_|o
zCRxg1HB+-MrP-~n8dMrMgzu+EJ<w;nTp-bTTE+Ko<(mAGy1wgh;#P3%Wf>A9>AsB#
zs>2`{!JRlV<4^0wZT~p96(;h{hgsH{v)a$mXR4^Lv-T^L%L(|?|4=cBNK)}UPOu(Q
z`|FApL><LE@H9`mvU!FvUy&)?>?9#&OFpMhbx!GWgKEo~h9ryQD!j0gHj_QDBM7%K
z*r}@RDw6(QH&18s4hPW9(vy)Yr&z>_VziWxNW`Y3m!h)sgbtUFxb-g?2AG&Aj8J|i
z{CJ2C2M4Cq_cJ-Vu`g>Vo=^k|+C7`82BB{3z29lb;J?|Tb8|?do?lr)tUvZ%qH7q+
zo=oTXtz~ysBAfP7k8aZb%<?d)DNT2AMJf7j7`}BYJY0u(-=0mcxD%-A?0Q|qx66=S
z5(ec;U+!AHabGD-tSY5l6z$p^!+Z@k7cEXEpJne}w_@f5PduNh&@4yS-|jk1pU(7M
zrS+4<h{CPItzn3L49Bc{LSVFgdE(YGc-rJ-;M2<$csUTPNNxQ4<<h*D{gA}nZIQ`g
zui%hj_avsq>v|7*etwr;*<{Bcc=1ZpRLJOgY2-@8^6x*7+Rof`_x|u{KK+_xYGg#`
ze@$Lk?OZkfOaxPqB{r=rbh^Fx>!Z=PbP-3BIixL>eR#ru){x}HLj&WG&8Kxu*tIKB
zUwa0J1xz%lIL3w!O;?cAiP#rNG{9Q=HS{S<7O<Y?n$Cv$+iBJtqRc5RwSI@XUw&F#
z+T&PZ-K{kJoRVsNnSixF-U#WXQj#*|apu59FC`2%s#2B4NA1W{G5BoeD-e^Or{FOJ
zT>fcH=zmf^*GUQI9lKYv!S$YuPWQSEt<e<Ox%@M}8MTBcH&m%%B}~jxeoLG%t90>h
zriT)!`&G{c1T6Wj4@XFNrkpm5KhB-_)1v-($HkGE>EYO7`-oT-8hoN!_He~FBfv$)
zR_`Pq&tVsekvxWPw8JXy)rvl88%{hkB<v6ZO)urD<G1)^<K$5Yy7^4BFQrr&kC{Xh
z-3K4cKT;x1XfSVyn;g{5N#EK;Kd4(tJ+5jd`Mv%qmXQnHN$^JNyIB6j%bf<FJzT!~
zA2qk}Uv?wECuKdtPOApsWy8fAG#Q98Y3;WTu{NwK#+|(Asry+KiF|}xoUS|B?Ks7J
zd{}TRxVgBMxxB7c5)Jo)15Aj7V>IWhA599ci2Uc#9WRAdTj3YKOL)?kbC*tROH@Y-
zVRNC%4WT-5@5x8zUL~kJ6p*}s1L?jdb_+mYVT(4(PZEyTus$HYx0qRT|C!X!O3Yui
zlfbC(@`Z4rPw$M*{UL&K+;`fWP?0&s`LIDDP$T7OAMeqq>FEu6kRw(9c?p`<{Fqk9
z#-c+2hBdf09fxzRM<nQIO?2?Z?|Z9jKtn(t&$emSbL#((tFH=bvyHk94n>N)JB8xz
zR$K}#THK|$yF10*9g4dKcL-kG-Q6W{@|`*V%s*!)SGh_i?~`ZkwU<bWFc~D^#}*xT
zjFrOm&HPA7_PY<Q(odqnI3dck14Uhn(b6aS@sY3`>%rG72CO;2+iCbGz6b&Ia|7>1
z%E1m)xPA}wLj+AC8!Ma3W->~gT28|^;c-$5->3wE3Ir+DB3$Y!hT^$=#+<m!yu!%<
zF)NaF(?j*0=($pZn*qb!x7Q-J+oHO^nBo&apO#JQPw;k`Jh#>6aKQCjrK*iaq5kN!
zZlx7G(n(jrdfa7l0UxH4?pA@wJ{kq`CEXqwB2f6L;FP|?T#^*#{P~9N_m+ldN;UY0
zw4!i~I{eFvnM0lK9(IoNh~X^PaYEpRnMI(RWyyn?#W@5A;f|<MY1pkjpa(zH-?g`I
zGKBH-cY>blP$w2&<lWmbsXF?T82B5U%9t-8XvY7kl>Ci<l}`yS9BXuIp0maF2ih==
zz|J1sX*DcHHB;lwLQWZXR=H-A@9Iu6Q8RCT>2U;gE+@ie!PqtUl;}a-xdiQxB^`b>
zX%o4&%I4DV&e{q~^}}EE`MVfg>oYXE!T+0(5RyCvyNeyur+kHo(h;n!tRAwxF4`WM
zAk&(vGT5Y`<wFSbAfu>6(e<6$s(}O;dGv)~A}lru;BTqLC(9}MFv9<-aB{F3n;2Q8
zsTo(TiBA@ZAVuw9vl#*~`I)-Dt8FBtm}HX?KGC=tGb5F&_CEX9TUb14$qZycuU@{a
zWs!Nm@6tmu4$Fl4b9pSU9R!kBV@Um+i7=8a1MM%O9eBM?(s~39_Ft+JHEfq&QvVzF
zw>MJ*AG*w_X~4#VK2*&)D@}|w)%nNfhhNi#HJ8Jko%O;nzr1D*GHlP3PyQ{K&*W~~
z;}{<UHTWPP94-V@H1b5BY_4|0Om(k(&-oi6niM}WSDvAlI3B4fC7srHR&>|KWr#^Z
zHDkYj-hHv|-FRPrm#YTo!A`26hBgS5R&m{>3ULG|1D^PPXHNHoO{W~YUb%9CP=X%u
zHg)f>8|eNZ1utC++q-i^wKSi|^00m8*i3o<i*h<5FA%4CR$RoLIyuH$RitDyocS7g
zO8Dq2XblZ8qsGjpg2QY(YmVPI4@L?ayZ-C(qdReA{NprkqjR&(3S1Kk<InuZLOP@|
z^6T)7q{S(pz(1)-V%M|#t55kZRv{}1G=$XsUqq(5!aC)=l2*^hL<wsgUpCtNKF4u#
zv@3uV2A`48{lP*wnDAzOrODJy9G0z%9ajAd<B$l1cE{aj=bc)ibhnC~_3w1m`3Cj^
zh$J9^Pz92&Vq?u~*ou(#vtDwCSn`6=+Y&{uT^y5mW*6ze<Dt_=Hw2Zr^jpqjt*s9Z
z&dhjQnlQPHzetR6>Yg8Bz`W2;B0<swFjIBdFXhxsDaVr6Aaf`bR1_4iAT_J0KKUKT
zTiV&4LprL$4Y5R8U4ar0C(57=AI;h^`qKb`M@%9m9q8F8p3U6Gw0dwK?#C2$ZfAZQ
z$|qhtVOG%J^BRpRt+Xbcee=-B6RwZILF;)w=mOk8DAwy5sF#Csffhx7tYS&$J`y0C
zg!E>Y(Dgb|ivD;WNr3A&3(N!mSSbHm`}#y~SCY9JB7pz%?cskO4SgJOAc}zMUMuDC
zPt8uxCY2vQZW$>CxGCFDA&oJem=Titlq*9ZKW#`Y&H5O9|7Su_E|nP%Uwxv<*YrU>
z@0;Y%#$e2EF{rkC1ts}i`N#3?p$9}~=LE0sH%{e4|F}3suD$!aSfyLx097`l;?SG<
zP&JbJN$1h+Z#NCif5;B+A3J~eJ~^Tb7xUAGDFr5p(9}v50D*KVUnfu)NM!4A!-W&C
zX61=1?3R9Q-<b!!-g_S15g6O=KRaFTOdg!X;f^Z}qTSOtdi4Jue_p@maQ|9DO7)s-
zsF|x8eX+SJQQ7Xf`w&9@4=RlTzisbTMV8Y(Ai3pJ4~{<gu3j1T0n@bLwl9asd~rIp
zFvij0s(Pbww6?PAyyHc|Ys}XDV7XkF#oW9*ffD6R?W`Lf9-zy1ZslDwO5?n&_j}4#
z*~s<}muvw=6fr4A9cSHQ^j>G!FKu8HquF!{4SLVQU&hPjKZ#J#_B8%(01()J)v?dv
z1oey#15(STsiC5B?eYQfJ=1MWcl&*u;gpe|X-3p1h)0vCzn|9yjd4FkX{J=c4Ch76
z9;B36P377MBy!GWp5KZ_9Jrd;U0P}TJL_BF9|#$|Y)TXiFE()Tv0Mi4srTP)!`KfM
z#mfxbZ39?=Ky1QvH9+1u#JZ!(4p)QTjl+NS%Q78#-hN0mfoqwm?d(DS@o2rGtRF3`
zeZ50hI*XM9ehb3E;?aLLpiQ?R=P&C$?Ji0_ZCUGb>`%c1%R=3aacz=cNvV-!#2apO
zO}AcJ=Vs^!{OyO&yS(VzBC!@ZvB4YvGgbM<QA(ExYGLQl)#jUX!HrH=O=$H5FBIp#
zJyXFQ^PBO%GR+BkfNp*!VTIgnbVjMDW>J{c;$)d9XYo?k(kGyK>A?dAc*77Eb<{Wz
z<dqs^X@Ah7xQ#bAR~Qe4qqlo{AEvU@bXgdN9Qw?2_WhIX|Nb-1E$RgS6gD)`ZMPpO
zKP{a1)M77N0e0gnbiMV}i~4U>_4>JboNY|hm1{bjDjlzUb+ryb`)a1&JHNx#^hH#D
z&cEx{RA!U$mU7aUWqIBIQDlVB*Uf@MmB_bCi7A81r}NfRll#DHm~;YMk3t0?+J+Lf
z(YcicE+PJ%m$8zKKLw3M=|72qJ6$kfvyy2mw=K*c<%9t|UyP<Vf2-p-slX)s%f}MJ
zi(8!%L3kZIE|)I>2BNBllXy{g%Zu6Yn~%RXm%NRA`ZsnLroPgL8}EhtG9zdEiyE!8
zY<MzWi%ZO{91=c~mR`Tj^#6Z6m+ptxW#=OYKtB8k2nmD%UtAB9DcfuS+aOcU`6EEH
zA5@X!b-{P<=7Onm*J4o`ljtss9Fga=_0xz=y1G@sw>BPTyr*Xw@FDG~G1S#<zo7w@
zLuVjVT~3wGjttfFlg?9JoI~{^-}0aNgMytcI=ncRoO%Clj)(WilWDwWy#>7IeL{)I
z7xSF&94--k!{DEWx1R|bcL#?`)NUTq@_Q+L|5f#SQEG`$eSb6;X``nrkk`{0+?tRL
z!UN<z?>*e{SsxmypR*dBKF%JTP4P%drsCTMUPctc8{KU=+Ci0q4O7cC?VFh{Ll9-{
zxUG}WIcR?D`ylmHssx!W@^FJ&-<#a%q(~EozNsbtJU4y?_D&`INVkg!7Ye2qQ7|zf
z-}^?a=4fq*5znLLsa9(Qrxk!7?!w_N(szWsr3~<e&ckTdQ83sB_Xo!|2BoIk!C%$9
z`(3-gwfll!NX)AqV6B$?4MqZyOL-_$NMz%&YWgJkdBW}fDp(62R6mgMud&P5R6}}s
z{4E_`h@GHBE3}=U%xXw3YZgVm+}CJj*Qiys0TM;XSht+~!&><Zfd5(&dj?k8b3fXY
zf914}b%qw!H!KnjW4RWT$%sRnQxg_3f;bXtrm_W&Dfh)FAOrn7%E}!T%h~UC^ec9E
z0>Pgypqq(IA@<G-9EV1Szfu=3|Dy#sF}N#xzhWA|tb()HA&UW?AW<0=)CAARC*T92
z-?RW}ysgAxQ8$6chQ4doxQLX}!ql|Zasm|>uvJ}k$IUGIzit;=w;$Y8`I=6mB%jpY
zEKaA+nzzSo1)A*5@_3bW<+^*@tacZy0Y&%05<OyO(KJ97%rMp`*9#$gsW1Dy<q>k9
zZdhG3{k$6%V#=e2In<EdbFy{ZsOQcSzBLGv70I2p5v?Dg{Dg17W+IrtrTA1k6x&2M
zu3o+QGG5{5oV&U_PLS^uk60WBnncs{^*B`6M?2UxZ^!t+?D2u{Md^)>y9?c9ZbHIo
zDfj*FKJs+fxcedpn{?)38<n-4Y1cmhhsoTWQ&fRf6aym+(b|(ainAU|<{IdxLp2ai
zIeAa@5h)lAfa@f>AOjDxJNI#kz1z13lFX(N8lT*GZh81zW%pb7XLrM2^^J`NbN65#
ztP23S=CpZ7ISC+7>uYR1y0Vp;_2gq#>@zpK&6u{B%xu=JRXMBMq$H%r&l^~#<AvqF
z{mvdHxt)sGs@p(+b>Sv~O6i#r{{G)ZTc|h(3Smg&_>Zn7gcN51TObEl`t21fVj$MQ
zyy(LdPhQ*^-@{|Zb?eX$JXj1MuaBel+*|$eMX{DBMJ7+raR1jTOt5f^AGSCzvbfx9
z(|Y61@ryvM#Sj!N9RS@>V{MwvQbvEk`I7YvWXQX>nv}g87{~;2IVGJ_lU;aQUUIbR
zBFu#bAm6ch7=JN^Hf;M$4PRpkheyJquN~40uJ2AbuQUF_!UY*6OlM77KH9^8T1{w2
z%iNC~;H4cAE5i5V-(#@^G9@5NP*?9g=m6wSXY`y7ej{RZxP0`ER6nM+Hf-)v{W5;2
zz+L<;won{Qe0#I=K>Q7n-8lyJ{72;2Oi*uhMM*TllT&F{EZ__*F@s$SOyC8T0FNrI
z)ZtU?H?fq(@fp+NazeiKwk6f1u|M-eWu2H^`8qp@_*(%WU0kSnq)*ePMORx?=VAs2
za^v-8FCP$?qkA{Ts8wi_H0`Y04VF(eoa@%Z(3Z;Z8PurWWOv&SwPBIKNO75XyzK7p
zo-nC_w`0<GLm0jh9yAzQ+yjGZSzljN077{Y(Y8PEGal)>P^V$E#ZK2Jn_pToh8DOu
z&nxYI^NZ}&MjMF}YTvIUk11szi@ZK40$HlkcJ(io&dh2zuTMmZ#Fi(;+a3ECTq?MK
zcm7*`>8mb*Y8XaY;8OGthdv_+Y?M1BnR|WGP7G4%7Xbjoo)W+x3ZXX#2SH#quPPp_
zirQ(X4_}JUOBZRUUap2mi#2#sv1qh0cE7zp^3_gTd<RWOrJA%2r!6yjrlD6gbv+hg
zcGYc{ns-l7e;xKHc)Gjwhu#q^8BzcGZ_wb2b=A;*3B-r4U8dzKU5!<mJC1f{h>b^Z
z*P06OsTv*@zZWn{H{{p{J7R4VLT}=iq9T^!pwP}+$8%29FFcrd4%x<Uk|!?e%B;9O
z^jSKxU9KKA@I(MhQ?OcGAT+`!0&zs?@#pXM3C|nv5~V@*6vaEXMd5CLs&A=pLv_8n
zE7lBY1+wj@>yOM0TD2MTJ-adWmfFm<btUGUShz1xr#YgcZm|xtbOT~_@$bgRvd@B3
z`?HV5%~B82^nOj|*o-pqgl_)YT0yQkU(?Ok(5*qsKNn|px@$EzZIK9((ga!z-Kh~Z
zS0P?Ze4R;?B1riz?}f0(UhhxuBIMuKIM@86wzw(7b_K$O*`fsX$ni|U0s_<MaE=?Z
z$&~3tS(urR6b%XHBhKt``;I1aE(@V429h9$(`OfQt6n+|2bEZ&Q9YG@uchX(+gOWn
zR!xUwLI@l31-M%+Rs&OA&j}(1-n&%x2{)|Y`O6n$WQtV-+_VzUir}#3;x~U28M>xg
zuU>r_=>!{t`29u9n`@2Dy(H?*^cEqj%+7w@Qxu2tw)2Y0PWg&*u<1_%Rx&~B8+uSK
zD|D$c{`M-)x*85%H^pY6=r&JS%dp++**@~{le4PqHmEQTk!0u0hv}Jko59aj?b$m;
zL_iLmjq3Hqre5u{&Se<}7+xE9{*Yi4Z~y$gIsq2hBeS=}+?N;fKcVAu!1NP^EH9Q&
z&-HQae)XdBKY$o#iouc0Nc_!pA47rKmCIcq@ym}Ku92Bqc4l4S&$+E8!hjw*he~pV
zlsXvH_+k3w;Hx>7&i#Z|d@DX6=(_ik5RplJ^`j*`O-MlpPLW=+fTH-nOSioYh84TV
z4d6{p3?{QgxOAEldTcq&_45t;(3g<t-;9Ms-|4t0k#UsWHU7;<S`;D=;0<qv7QEQ1
zTj2h9w-({<=C+TXl3mIfW91t6e&Gd(8pzX)UoL^j<FFG`iu`<_)p$~%{b{a@0TOA~
z1~E+lkOr*!{j6U~s(bp^sqTkKyR1#O&Bs=3sgaLg-Uo-=P)~#~kFE2X?#|bh*J*r4
z<myaiqCUpAmwPWvJJZzGdX?j*3B$)9OM!O@4L41T8_%J%?x{LyY4jW1BjZ~xQr%43
zrtETZfoHiKcnb2Y+e8smRaz1!oa3ZhQumB7{*(ZExdDgX$_PJr{}fjz#vUA4!A~3)
zZJ)7*&>Wo$Ke9uZIoyRFp#jl%wq{EFt0zPoWWr8+<cr6n1*bHG;v{UoZAhOb<9bgU
z_|vq~FZ{`Wga(cEhI(ff`M|uGk5DD;+fY+Z)se^nr~laQ0g@$QI+$<?ab13EcZv$Z
z)RGgtLY5c2D`^6f8h4B&H9-SDfD$c*UvC|skZ=0#hgLaSs6_nC-9?ILFb+#ah&k@i
zFAW$)0I@+DW>?VuaB~gN$&Aq_rzMaUX`RLCyM~vcgJuo=bt2|JNi+_a02IP$BA;=u
z2ZJkRfu)~#)WJl};Fk`?3R~cLS61+xQ&|fZ6FQ58>|)giVD}e1J!s*EGI*YD*Us+;
z3oY>FWTT)xTXEC7?i!3y4kihq%AEhRRtE`w)LoV*!9(;<bU!){cZ`JrVCdqi90XHr
zD*P;Ay7rW7=^|5$f$cT8`%cTJUKs$fcY#LYG}za5$D)qF?=wl#JxYg{RKqL8e=(*^
zzRwL-0jx;$%SM_bWn0mDLPpq$A6S~&zJfhH!%MZ);+@xB9fcQLTRz;ZSTcU7Zt0f(
zA+gcrusb-q%o3W{b92bbu)@;r%(K`}@}3cBrcTr&i)4}ePP-k<n@pgsb{@p;#jU&c
zHJ3FI6LsIm6HW2s4v}O$)n4`<8$`nMJ5*tdhH<Xs=NM#2;~q78IO^r~+1N8B@1oXM
z_L=+_LoYZbH&vE=zg<iK#I`y$PmQKz_**VRpoQ1@^(#=}J}p0|yzpd3Ggg2?yZoW0
zsZ_^n_Ms>A^R1(iribgd$V**x45TTYFC!;NiuEaPGQ1D%`2&OiR5E8OC0gNGv<)n%
z{*jGdeku|Uy10d?^?7H}uWQFarXF6iG&udV$=L3P3<4WM)HJFXO!By}+rQ?iW%9wJ
zbO3+$(YcMOS)dZp6GM~^%l#EpC!5`i=Hhn8!-M{?M%AV(@~o$tk9;KY@h9a1+#71G
zD13d5$MF!#;{#&=fPzlzhfY<#C1;&oZtxW~`xH}cJJDfHxY>AdY$i7iIucS8FQbH%
zh4|$U)o`bh=c3M8rc7h$U)gHmPYE2f*yBTs+f-Gr?E9vNOngD*UY}8hMa^6{^+O+=
z_m6th*!pOBMD7+B-}N;GR%19u2~}8~5di41(_C?Vt}iLrh6^LTq`QcKp6Q>4``j4R
ziBUb>n~9oo=#apj0Mc(8mkDBcVa*d&^S_i2w({~9vrVdqNJ3N#C`^2lU4q<7cYAI<
z2%TPlu@#@gT__1uJZea%&*11U+p<Ue%ZYAlz1tkU^P*|>St-dWw^Icj_>xi&=Y}S{
zH#2j~H?d>gK$paG9N?T<`lJ~g5VMbWg$!=g;n%1_VrjH$KwiuKOlA03W9q{hL*?o`
zrvTHnW|58}>^NVQG%`R2aY7N2e8g)p;8h-b!s>V$R$(<<;90epe)1}+Fjp>T_qkg?
zhr@izc2n=Y`Nq_0ynj)wb=l}VmM>c#RX5jX-Lg#6#zY?CH%SbGY-=9@zro6sRw#_p
zk~J^@4h^Qy$CpafYei#Pw?B#`dP54brh-k(#L$9ximdHp;*xBL(}^6<n8TWs-rwj=
z1X8ogzxpLf;-|300;LuWvxHh25hku%0f6kmbq+cdvVAvnEc=T3lyG}*g1R>A;qL2$
zj!&yD*;fyXDTl&oDoKirw+256fvT^Qi^2CIWtvqA8L7YLu+P<FDN52Um2(rs6-fBE
zZtLe-*5%r6hfHRjJIvY~q_wp}$*g&>U#gG8xNqCV93}dy|G+LIAFy$dh~c}wCOap7
zkASa#+7NZ{3uY`8=L#AAeD^eajsuRflZn+j*eOTyD11$&ST&agcqUN~>AJrYCnet_
zdN+tqM?&~3I#=MUZI@t-CVM))B7Xfy0l=8w{sZzkVX=?bQT|&mPoHm{8y$tFxXd!>
ze8!~Nszy63*_9Mldtw8>ygekADkA`htu6aYC#yo^AthP32F*R%lNIXXMsMg_;WYwE
zi$1+nXALH34m@x}l^FY-_6K|99a_xv`fK1#{UE#QHb7_Onap3~x;^vsr;763*=@D=
zhgPYjG1Ol|vp4|Ow*Bu#99`9hc8Vpk52LU}^QwbIx7Lg)pz<uCI}$!CMq`N;G^r}9
z^K9*3hR6qNtndKI{S51-6RzC5MJ`84{mS<x=(~#<2R@TIx#K|(EuRs5fjpirr-_h{
z)~7R&_iQ}~L@raW<iG#hjYY?e0GPwtEDV6G>;-re)p_L=7FRlluHRhvl{yUVWgLh~
z*IA#^&Gmkjt{oavd6AFuGu7loFBc-@d-hGs9zU#pOA8q*Gb)MBE=n62o77aa&}??*
zW^Ui&^sAG35=kSVLNMGm@v<?!Uw6x8AB}In-VUU2%v!`k0QRQyq-4jzP!<E8uM0~l
zGoS#i5-VW@z*g(cy|Bv{Chm<l23Wcv$+TLCQrAPluR~c~mP&+Pd`>>6wUL-xkOvG&
zB(xtcc=%cFxD(9zOd}luU*qcY<*tM-F~x13VR#^y{qBS-0oOamGgt+kTJ`HrOYM~c
zxVj`mX)!faud^gF#C=xi4>~Db0O=_vJa1Y<7!iy=Jg|VR8$-?PqfXuY8+YlU5?>Od
zPzGX~k|XW~hwMxm?&A6HF8(*~UKcXl9a$mV54~oH0&8!3sm|E;==+yseth+q@CSLn
z&?u=@bVzyMqS{9=y4J10-#p7>JG!XEe|0qqaD`KTE0ETxp-N6D@+hDHuA146{Gba(
zi2{M}b>#Tez?PU#T=?;EN&eYjw&LyyVWzLv;&kKm%%y9n_&7U^ldwvY*&lV?j{e=W
zH*;m>RcVxypqFgLrkKQ}`IyB@)>)pgfV}EVXeD!;SqHC|L_Ak+@Ls@WjgRfqbQcU5
zZmPBG(BuBkg!DRU*HN6w*s1*O9f>8~^Hx{!G*^D~#mE}GUfG}#3(SMyCD<oyJ^bgo
zj1MFc(@|SXwG%l-5GaSTffO{ZvPVsp8hK{5_UbUZ)63`EPC0>YK9;G5@xxq+G-So8
zTqP+Nz$A3OrPi`+BtKVS^&!#8<AW9pgo2|bIkjyYtnwM@sejLy7Wird2T)g?V-a#P
z>n-?eoTu%V{0c)UZYeu6yF>b{Y5#&ff7=ed<xyAUz$a@)134NHLdftaBim%c+#K$-
z!A64O`QscPWc<HQ@c`%8iU)s%C+vV1?g3rc-33x;G8R!pT)f4Vbp?k1l#Z|K764xb
zMNi)$KZ{eK(_~4Kc590Ub4+d20p^vw#7mhXb?$D9F+G>Nal|N=Ia|laQsOqZ=wPI<
z`PMkQdt;!-{__zs>Z=lrMdmN#6@Ip2C~2Bb93E#9(SWln0k?NfY-*zsYOP%^06EjG
z(JQ}&P@3;WjkVYyFNl;2F*S#qt1?|q@MGZ}6Q(bma)|HI`#@$jmEX6Ob9fhIugm46
zGkByDvn~U*IxQo@qPv&^Ke>$^!>UQJl6j9hVax4R)p?wnVaff}MDcBYMZ2o}p{7hT
zyGHBaQPqt04WU-U?c;FfFq9k@=Yr_BjEdkv`ajlyPdG0>CH)yChQwN;KuZf$H^6TJ
z-q>YxL#X{v0sA9S1k*o+U@9)uHQcA#uj2!)`ttv7Xe84id};pEp{Yfl>g4CvOQg-`
z#iVZQZr^3J=)mUwH3|<PI{1|T=>!E!?(-cq0REd9_om;IX1aQtS#kGE?Tw@B(Oa5^
zftMX+yy3Q}FKt`I&giIGB_c!K0hM&;-`WNw!7n`u%B_A1yl4@~em>3cb~u2zkh$a#
zO1mJ>Qqy>8D!!6a0(cfghTA7x#5Z&jnSXT<o#)&0zT08Qxf?c~xR#9}<jdRrtWK|5
zna?RT$b!nNtx0^62Glx&Q@9v;Y_Ba(Rxii3lCkVxqS<a1#vQU0-fW$P!be;(XfPwD
zk03~6`EQBk7p(-eFJHbe3qfj~RqyRq8ZGq+*-d1^Rv9`E<E0YkTvX+@x9-86STsm-
z9a()I@ees697FA^oMN0FJGBh}1F1p!)L!JCT11v02MS0yT8_9zpvLw(<#e{ePmAlN
zkc%N<2j$+04_A^j`(b2M#bzeGcE*R6HXyIgIy_(p;jEX^GGm#5M77_EATz>#KksJN
zUDnV{mz4!0$kw9OXmpJRutu`yG+U~QVKT}I<8)3p`RVIU;v)VHeuLi1l6M}kam2Ln
zj+wdDVLrW~)<WBL+3tZxOTI*5%JW`Vzpb+GxzpK<oUBb3L5$;vG&UA&u|mFTklUK*
zs)#O^DYd${QLhipAY8r^b+aa`eUKxa|BLP`ZNQ+e;j2y7MVFg7Q(F6^QG@hPOQadQ
z@Z`~e=?eNKmtZ*OB~A~QWE8pY?6O@u%yKt724VxCoK!}GL9NQ<B<!8Y@kvQbLtpKO
zVE_I)TX;JjVRl|qO+)z<rsE3BmCJ~-rmCv*Gig!}>gcbYauRratnM~nm3l?rZan6s
z06hY)X!}E3$yx1o!0XTeP1-S5YKBBEyRqOmx*R_S&VPMBL@1AS3~^waH=Rzo66KKR
z9}4_fJB~9<9g(43(v><QO57jajYQW*QJu`{xK9#>lODUTa)mZ~-@##Zp7*r<SsN`U
z-z`@;GFiG>v(tt>@v_cenVB%F3zcz5l0wfowOo1yQO@SDcs8%)^_d8mK>G2bnJY_Q
zR8TTpfAuLg;JIF;OPL6}Ex!?Td%QGdpNMnRL@8K^jR1`chf!LcIN`Ul-7;q@kfE{Q
zA00L^zJ77${_|VA9;J(@=irX)VO;b;6`(9@(+&gRr1FJIL;WCXxdAOtbJaO*gT#zU
z{a&gnZ5+4A&ePMGE3>farLTbUVuz`X-z>ycoLtc>teSb61|{k-+zKWBlTq<f45$Mn
zAc1nPu7kV{?$<jT870|DlIBolu&mGkj2TAI8xcTcqszzZf@L2mcpfR2an<>ga;jV~
z_HXHm@vY?U$LgpR+}rqtDCgDwEFza-1bFj1T_!X+`sU__c)b3$DD#57ALe==h1OHu
z>l$#70u{2?eh6LFsYKZ6_gHGJ_s7V|O0v3Kt|OK^J5>(kszZG9^i*7t0s=m5)cAOw
z#BF32RF5iE?}TE9ZQwM&Ax~%3s8v_7$$kjsyo*Jhq`ibbh9y?h(V-sU{6lWKN9;r^
zI<bDSsN9rxWsf?G+Y!(*NhLl42y)}dMjc7|=gUZDAYT|SFw-WO<OM!VK|BqUw{|4L
z5D4_qCJ)u)5{HmonFO)uLX~N*Bl~r9FjRhxAuYy@vTNu;c2R_^e0ytWIkfG+EEHIu
zmjgw&FGnMDg;PXN^99xco@BP*=uTPz@T^PkkQ>B1V5$YV0j+IpCXO@Ziu=+(0OY~$
zVd*Uu4-j7C_gS6su%o;%Wq_93PaDc9MG$K*a`$6y_r>iXBi^g)%V(iD@@81+XyJ0P
zE1szjpMq0UQ#(C4{R-KG$wczKVp%9@=x@b?xiFs|J^?5!Sp6j?fq|majEk-HX1<EL
zA~8kAi;pCH+|58<BBWKlKeKt7tFQ*zDLrSW(%Z|c`kw{fXQPzEOxg8pyzLJDIiwp1
zz;phrbQQ?p4AQ8wmg<AX5Bavuel*FyAAMZ-T_-CR*z#}}SmMz~Af2=-d9MQYEY-r-
zqw*Y7CX;_V8-uF?jO5zET#bE>CjD1qwh+z68hr(6a(>$7s9DHr>*2vso8XK{OXmaa
z5OTKiY`E80z8v4uh7g)Ar|2)&y8^bIf?kF?^?4N2+`vQGasg?M$+V8$aQjLUQ4TLT
zXe^gFYh))S#aBHP2b!vw8>UggOzGwUXVli>n(X7W_Ky)wGgLN4v!=IafLT-#FZ{5N
zh3?hf)jzQ)N(2ZsC6=i$X+0oTlwBhLk;oA@$!BMYiIg}orP#rAy=ta`^usWkKV#>E
zgQ1mZ`@z_wyeqTZhs`X$XMd%02%}gwef<o&yY=rZKyr#`45aF4g$Su(%mS|@zPGfo
z&VHwnNIB_R9`~&JZ@v<p<qxZWOD}=4uHuqhyrhd4!rdj9BH-ss10}`}LN;4w+ekZD
z`>*jf<YT2U0IU-G5ml8@r(I!lulYTUvJ4^HtK1wT@%xoKb)%}PD^gLL-{08u`^jZ=
zKmgCZ;VC2zyC}~+aAD&=U%@fV$f2VQc-BgW{+FFbhyJxkZpY*tV#T@`{jkAC6j9dn
zEROQmT%VPEVbh~l)#2XP*&LyezqoY>qNEtiX|ALEaEvqEdFZq1H~2vT;x}AqMA|W6
zflakVEGU7|jF-31zc(-t=S~*3CP@B6t5K1Ww$S$S8Vel|vF{F~LQUvc#EuJPHwzMj
z-TfH=;qTV$DPNE{Hi3}LD?3P9^tpb=%^Jxd@*l4nicq@r7-h($VXDREcfn{rp|C;g
z(rEdD;lY7^(1$sOD~;@r6hK|Xs{~(Tpm{Mc`q;}RiVpvHsc}Nx{^kdGL(}VE;@Dw>
zQFwFDAd&P(JV%dU2Yt9(M+t}muO2pLOlFN8#Sl`ngeu@gQT=5QYGx>dEBuenpE?r=
z6VTd7*hDws**N9EBe3cWHCQW|Sw=c8iwhhwyWc*ZZ#T_zye!8wpZlx!WegE8d=A4F
znSRyOU90&ko6G!Oqi6G;6ndryY&BYYZMbg-E|7swv>>A%%+G@32e^}){nNVWppfvZ
zRFaRhfXI1)>z0nh0Aoh=RLju1e}ZeTq`<~W7lXyi-_<)q2c;0mzMw#$(=6;`6L4o_
zvc33j(<vWB8!y79WoDS6S)uKP&|_WJ?rJEhd>Nd~bf%``ziIOV-7NS(+|^~ds-~@G
zGkQOMsQW%Xtk-q6!{-|Y3#g|D1sOCFzt;mRTFC<-W}yC>JG`imE6L7|PCF0fGhaWE
z9-Rg6E14QSKHju;haEA=up$u&E}jVbsXFUm^!W7RkC(-6VJJ(7zA!te*1tg$u;%U+
z<y#2~0&oHTeqK$6ZU&pEsUC&6^516kr_$IRZwp=QTrKz->Yk^`pz6Et!}~EkK^F2f
z+k4&E<T{>p>+|5Fx>aBZLCKHQyrg<R8b+bd3L;^Fk|+w!o!wamO}&S-OQ49J#5!ZO
z+n`0lja)%TgJbK=%k^7fBuCS8PO|iG7QqKF(t_D?yB7y++Dr#s5)9*~tt<=-18|3G
zh3?P5+1&MyBDjZ>9r%?DVaM5le1N~k`?c-H-F1+l>7HQ-c2M+!=aDC1v;StFQq-O@
zP~k*qZ9`qi(EB@y(gi{U;^@Oa8OtD_%~7Ssww<-PAw73>xGwKku>0{Jx5~whbpi7`
zfJ=<i;rnU(LY=7_rCyuwsR@TEFbwgK8NfQ%{ldqK>r_4Z4cr{h!yh%lD^2K5fegkz
zxrGl$naaa<mn8^PzyxWGE6>%xO{rU?TzXiyPxiDcQA>j3@=n_00|#lyoH<Mo`(pmh
zxe4Ehwe0qXGP_(sDy^O4(fhQvUFa|&xird<#^m)?tceYX;QRL7_{ZOWo$b|rgsvOK
zd35!O_qj~?Nj|g3{Im@HNzvwy$g5#8XL1cRW&ncwkhFrBK%hG`09Q@<C%-$)eFX_H
z1`2a*Ya)t(*K6fyr|FN^ffB*m;b@#Apg=3P{BMrcJ`Umwh3s@H)LIg!RuR@Xe4nFH
zduVzg{O<nH`jQ{#E(zU`qkt=HYSdU$$NS68WCFo%nCU~QG$UW+hKLNGmOWI@<spv|
z{7?+RlHFS9`K@olhPt}8!I^;lowpfWDsAutLt!iH=R_&Af!xy#d$K>EX=EbF3bR-j
zqVf#4M8tWChB0r?9)@voy_}UHd(^ZurcF^Q`ofROYJt6-nBtYS)WP34WD@+r(FC6Z
zpV|DL{kj^=vpxpKZl6>0eB$uFe!4LVw<KJdI2znB&;yYFPB2a<p0>D<vgLhTbCSlG
zkpMVTzMybOTV;@Z4nGQ8ZMJ#E1PEUBz)T+SKoX@o?IFc%A0`Jikm4TTe>(Ax^Ao4T
zHK`KRcN^s5K`w%h&%`+k-R5=XzdRkw8YlUR^v~GenSUeHsQ9e^Ol)eXEWLbkLyUZ;
zYjWwxn4*X(RUlP$J@o;tEa^^UE*FHApq$?umx4A5rN_rUo%==;Xm2?-a@*P<zr0bm
zN)H%qZ0BI)XobdUDOx4&c#aO>>$jmvptrs7`FUJd<s0s6)<1`$9{u@i9JUprK?K<H
zmO<Mf5qNxvvev$o4U*Hf%c*jk2K<i}0R0Ij4Wcw6*zllJ{KBOO!=M9WK+drVXCRbz
zE8vPjVmxbA(rnkAPu6PkEVy<XMK?W5`cTQF+m*?dFFR?Icb#4GF>h4&!3E(Rw~qz%
z@3W{#Us3UK3R*ql;JoM7#g4y8hx$|j!k3ch+98V28(mgM%t<>NWzRm-YzIZwrFci9
zAv(vu){~r>qL3)3<ENJr8-V@xHt>nZbMVj9z9SHYZxIRrA`&4k{`UOzZ@FRkeOQ^)
zwM7|UWWe<b+WmRLt>RE=iuB9+AFR*)tPkmyul=mi({X1%zo_jve+xAv7UruO7d39i
zTV47jr7A=JMaDloiGf1IL5ZAfyXP9_W#h?WJ(I*L%I3Yasut1wSPgH2sCyeP){MAV
z1;Z*(K?5^DEB$vG65*>!cj(<`cFK>ZwbR=JrOydPtG{BcUb0T{_V(H+#~Ob*biXD&
zpzF7LG6bXV$H}N?P}a^V+shU!DCe5LjF3V09|c90WE<|cow-nN<ml&H_lq9~t6?`K
z70Fn$<WJ}3luPx#EXvbMZk7Izd{`<G_1b^sC=exzB66IDb_#;8HFq~+gN~yB_Ukur
znz!p82SQ;nIXwId1j~lM6T_*I`RExKg2|y_zLEd4lq&kO6TpnfFix{Zul|~JCG2b#
z>tGHcUq={Dn_zsDZoUt(Co*3)(J*v|ge9jcn)di)Ky-2xfT*Tm{V(aURFyXph>Ft|
znhA<dpZo&^pqvHVJMeW+wtW6`@Q9`06tfDxUG>|+gri&^D}d>ci_8~YIGm~0ja{-<
zWD<nG(EUP{i5UoXAP%Pe=)+^gid~XYmV7eVKcc{2tDuG-B8xYTA<R-S-!lIL<v%ED
zNEt)X>9w=(wlS4-pM6k(tkmD>*9CLQO>!jEYRBN8*YW%13Mx&wQiK+bdALM62PrEm
z9S+0qv_-iacDZ-ll8z^yF)?h03ZdZrQUD6z!3KjTn-6yIb5CXDFf`93gP{3~kM|6h
zRZ>5wQ*K*_DAc2Q7&hJE@fyz1Lmp*;9~bY7jI35N`rgkEuh%0#{HD%ae1q2xfr1g!
z`R)Zl2oFf%?<=9`TJO>j|KghK9NqQU>gBF|RHR9mLVcjUb5aE13p9z)zY}fZze$!>
zR?C=pm*;$}L~&gM^th6tf@gdm9=E0Wo@d`5FQGc+u8zOKT($6Q_Wt--BJl7fco3-Q
z;uHxgAZiQx&p}2;%<p_800##b6oRgMvBjl$i%@><w&~+mUs7_ASxYDH2HlE4;<u^H
zzw*PZ$BK6FQ!ti@bV6tW5TCNUiP5jMNl-cbTSt`kyZP-Po;g?ZK4hfTJ_i`ox##pi
z+)?`G&8h*HgF9gaJ;-*KK5>K@2<+R?==y*jmn-hGWxw{_tq_)&)HK8ljK1Vgeci6#
zgoPI7GcOpqtCotZMwf(=6fkGOGm)9xK57-^*+yvIezsffIAGWHNtk}kw1yJ2i+f}>
z0qyV+0x+5To!x1iA&D0OaJHzbvIt$|<>V8nZReMTyk~y{DrR>rleO)7b&1>uF*9!B
zt*ztq(UHXt_d}A#hWibhqKhsglt1a<vxUcps3!W~;glI?z5u2+6+FV-2HM({#gb1Q
z#8Y>+lfbW#CEKp}bSl1UD;t2R`%?H%#<6}<m5ShE(AO#nHPcQO@+K)~f(x`|B#ts5
z-IvnnVDj?nbc`LGI!dD@A4E4%cVg-`wS_-eF_8E-;z~%Z7fN1uIs%Nliki|~qsl`D
zNoTFc?Lp!Nz_8g^B%EF~b05S}l5f75v-G&}9<C}DEbCUWp$6Tf<m@hKj52Ydp@X_n
zwwUvkV>N*U!%{(#eYe&xcUH8`?cwYP|AFuW3sKiFNaLO{V&MeNKN16GZNNwzQZtW(
zmuEf`*W;QD=3|?vbP?_9op#*$nGHVv@^CKl6Q<-VpdUs5Gpb<WtKY|-%lK3dy0$RP
zYtr*I{>uYXJqfVW?Gti8u-N-POtQvPhE;>5sxJuxMgzR_m;a2<9#*oa=(^v&e;Cgf
zMWLGXBL^HdHykSBWgZ)D?>_dp6=<pk@TdEDQ>|-n{4<}~{4Tb5hqq9p^P*+`3&a{{
z)i8S8UOhiaK;%9236cC3ux!p`xdkly7GlJZ(Vy8!EvTx3I1Vru{&nNi2kM!Ptjif3
z9-IsOizz3M93}nd>~fj5Y_%5|K)Xu=RSnKtrI3j8^gfX~v>%h<^wu=6@Kk597EBEJ
zyNg>_)I095Zf_xAD)ecZQSz3%o<Em{ij&4G5zwQMp1;8^@s*`G_zOcohjLqT-A*(C
zIlx?jFy1n0s{V_Dwc02oHm?xAr=ICi$SrG2DJC-_=yfNxWqxNSb>p9Q0)xG$r25FG
zB@{gd(#9fcr*5yOtTd@`<C)P5uc6<WyzRf=e^#!x4rcf0@vgdJio6ZKR93VXhAyeL
zC;yPjQ=^L3sT11d#_7{Inp;HIvSTViU>a<!GJB2{bZQpzAcm|^eBYlov4;UdHx2ym
z^JyOI<ZmvW%8&6&XmcuL2?{F}E0R6$3(bA?fgp|yc3+F*f^sBY`tI9-^AXb-8UEZ{
zJ8+Zr<Sq7jwi%yBH2yRN0t-NactgKUh|*4#r(P71&GdAkssmtfJS)oFqhtu_A4iDq
zB=chcf8;=H=$G-r2S2~X!Bd@&2LI!~!ZCfYxEkX~<tq&967)IppA`W<y&O&SXsk(u
z|E<n{HYO((GPPfB$=z%+Pcn=AW|I=(mFrE45Ze?$u>vd=)5k1e0Aa{8VAqpV#i3$|
zdd-gU*1&l!TF;U=P%|>_cr*;A&?2fChZ@~TO!?+_IXt5L85l&O;uDc|uDHb^6P)!#
z1#F$)sF0VbHa@W&<qn9hPnLB42u%S)0rV^^w2?~^{z`cHNQ5hplpt|oApzo3BWYkM
z%#JMNUv6t}bO7X7=5Pg1LTnWolLM6!{WPVDLn{znK*sy^FX-(Bf%j*n{jvLBnZC~J
z9`}f%<#D~*_ZhkMA>Eo&Yd8j32-U+~^i!k%t@GZa-@&m+nFNPBO+0S7F~`k8{xY6J
z%a_8e&$n=%hT|ri3v*wia?Q4^C*iQU_CG`I3&(OgPf)EMM?W)lwn|z=C0WQ=pNyN$
z!?aX|lpwub@B6`*`Fqaa&nv7oP?0WY$+^C|DbuiGtdD~#(mc5R!;(VM4*%;4CQ~qp
zm_$M5U7F<{v6C1#fQCn-?+;i<;8*vP-jJpA|B5=@C)5uhHfv<Gq3|ItusSd8^|mS5
zrcC~-O#3TkVPoL}V`V~~o~t3*!ctx@Sso7_pjH@`S3GfX8g+vi5WMK`>01)n7xhXF
z#nt_X@VK$@_3dYpWRM+-lEarcfdR%DfOH!%!2Z539biA&p#L-)^y}ja<myLV#*7H2
zS<W(<9V3)wHyscK^jrxSFF9=?ii&<4ltH=FKOk^=B;$vqbp%&)e8!@*sva7V$0xNp
zqze0m%ZOa+@D7qihQB+h+bZXIT;HkWp+g}Vh6oGNso=lldT~E(vLdTfp1?3B69Z#7
zI?csM)pPiehaZByhZW#e%<imP6#C<M&D)|SAR<oo_cu_N@B6uUVV2AVnWvzOMi88d
zEXd7q25g{&(%uQLi?Tk_+naeE>YCMCfuz#yboqGdb^(ShWk*^U_FegzCDe4g?NIbU
zjR63*Sx-q;wLj<$`cBdWWWszkx?$p+7w=l3A<&NE+@=ET4xu>K{N*}Ewbo*FfDOH8
z=`W%HdqU*8+8$#ZB_!P`G#vB4At4BduUKn?-s0ek^0s}GEz}dS=bEny8SKlp2ZLt%
zr%K#mXbi(whCYT`2lu28KM|IYm*bR3u%`)~zh{vtz#1MAmJg$SyCl_ec~1H|?|fZu
zC4er5DG#ao6SARvzp>i&^jNgX?QotgHlGr|PXnDaF>{(4<!?O;?rmUkCx1QtYi8*D
z>K02D<MbF5C|Nzw8-xJPY5aj4wJ62pijGb?nEytbRUHaYAmh)&21q5PX0xQ$?UT53
z;BS_%E(29HcerTRFy=TFNVt0#ut2bOTKO>wBBaKy=13__NIj7;0}7sDVraRg48*+)
zjfOC+Hky7}!VUvf9uCIa8G~w?f;J#_tqr<{A#1peF#1h)jE)RK*fpgAeFOlBkxGd|
ziMNVjSC_K`ZE!laBcf#(@TM}QkMt^9Hzm8Z5@=50iGu?O&iwgktugm*7w{bc0QsdK
zt0m=?4%a6T<a-+f!xyL!mW;Ke!v5Nt&$UFGoE=3$(qgu$SUI`Kw71@3i1;TnMR2}F
zI*bQ7A5c~0-5Z*Do^+Ogdm{?7G?i;hVWzmh$LWhKJ?jA*X<RH&e!~})M18;lbZ^!L
zWc9po-8;={fIel5NBKVQC<pp=IJO_DxckNjBVx8f^%K(*|G?c)l#Y~Y)&4tbIuHj8
z)K;JKa&FE*N!wQAx!aNEX=|CI(juROw-QKVDn8%*A+;#li9=A0)*z!+Fha7JIRTL<
zf)%dz^b6x3^QN_MnFc0{`UZB4aiQ<Yl=$&%y2xh@MYma8G%Y}PUj(~8R@R~x9*xxL
z5vs2k_D`Ogm=E|f81OazB_jzX)p|o+RAHCj3M6mG@1c4s;|V6#QyyHKxT~zBGHf$B
zK3~f#Ha0fHkTc48Zk(S|Iocg%go=Eenf>dmTgAEIN=LvOKvf_tm`oPRORXZ$Ked;T
zL)DcKqYQ=Ig9XyfY%Knqoph{~Q8EWHo6l%~<U#~07PGAsYnJb15++5|$Om=i?+&3r
zk<_A%lzF$!v-I8SJ3Bl|K@oAD_G?4Qmesr{jJd{2v<=W+^=?c-JlG4>pkRu9=0jB3
zRVJ~QRC2-8>mXm=%Q*C55b{Vv)H`k?-HiHvfG<1NOWu@B9(eK+Hwlq-_{%Mz>~Ms1
zIc}y}>#DuO!EL-%JK2&kfIqcH=AOUL^ppYG$oHa;y*McZ^{t4c#nO0DSxVOo+^Bie
z$Pz7)ysmDqm&*%Dk>5;rPt1<KFa)4lOg^h`Fg?>7LMm+DfERbH8v02HI0{yoMWXPf
zl`ixgsP(;yI(uXSVfil-tXDK%;rO8%hI20PhqLIlNw$GUW)|Y8&RkKC60M=vY_q-?
z9F*Tpnftx2ZjypUi4x(2m^uM~@SsL2N^;SOr2Sa{K!F`*<hVcOXS7R;))>Q&cFf)!
zYWvBaKJ_tyAW9>&IZz^+n{N^~H=P^Ms|*F8Fo&rMHHDxI8%XeY2mEib{cA}6*~Jf{
zsP<ukiKr*FZTS}Dl{^4t@Uy$#n-6_1yUd;m=S;Kjl^i(_B1?&#=i%h5v}bKFFq2+c
z$ND1Ra#OqE<B2yujKFX2H~Yg*o@tPtk}Fk!cBb}Z(gy4Qy4}DFC<3YMhcYFqy-=Zu
z&u|Yq?6yamz7GmK(9#YUnSdT@J-Bhk8FH3Bw9_AvEBofWGk6yr_dC@-iKnjIn?KYs
zHIuTC0b#L?@c4C1?8DZ-J>bL|cqRB)tz9*B(?=WNY;h#hxExyBG5dI5@dw+yDI?C!
zUOOJW9|`YH)rg<7m@@@XArD%i(Na&3X>cf3*ne<4kVZb`t_l(f^a=@&aAneNq(`6Y
zhRFL;p#%X2SCID(AWgX&ov(?tG{3q!Ahb&f)`kIG<K2!-GZ&2c<Ca*bfV!V1Pkxd`
z9Er_#v!2)3&h>6+>qD_l@|)QDW2g1?Dysg<Y>j@+v>*<k2lkJ5H0Jt|j3jl4)V|Nl
znH<xtY~zU29}3g9s`wWY>+uS@!ZkW1wpwLnLHAYd$IEGY{Lob`8ma`&*F(v6@l_UO
z*Wj=$W{kOj1(^4uWhlv~j366%9-4UCo3yUB(DT-q96T(4Hn5lRNjQ`i-UJhB3~EH+
z8?Tj_QqLO_RRJ25ij=D?0P<hLj;lZ%pz>v61+n!cuq(<?lFmADf{^F4K{FqA1BD;*
zdCKwVASTTveg1cuqE9WTM`l;9yM-aP2zGc9QKpcpo}*etVysYsg7{(=nb@Zj<OAra
zOsZ8L_wTtQtjUl^8MaLGe8J)V<@^wavxsW4h917Afsk2Qoi?oUXD9*sjokUwjh?2U
z4@wCN61v@V138B<60ZY!^zoc@K^RNArq>t~oWFFg$0$xf!j$b3ryGo+(plq#;gy-|
zI<OudOWLEMA5-QyuZoxhUnBd6miun0jtDbE)GDE(2MxH{wBx5o4L^DPLD+}+2R<LN
zt6l20+Ek%F*s!PeVp#QmnN^ej&%U&O^T1&q%dqGy27ayhgN?<+sYuRZ1{+<C!oJEC
zH@r(W*JL>M0GqkUpwn)V(w=a)Gd$3{KRbGMo2$kLwF=>=oaiowM&Y6Cmtb>0$cYk=
z?<64^h4f|*MM$NhZwwy#r*|9M`<+FYdcN4QjHV#HmDpFL#Odme)2=>_17)!fUsv70
zf+EDg?A#oM977(4-JeeE+=+3tkLn4*<kToI5P@|J-9yTI<_WRox!j}Oc)f3iLb2K5
zF#7=RasX2>Hh7!geWE9_aNJY<{<CE>hrFzm?fWI&xX`yEX``1}`4+kf{~&gu=TF84
z(ktO?J%~*3WtuaVn*91!8qwB2_tkVCl5+*II2g~4iW*9zhf-^_Bj<)bE4IV}@y;5F
zG!5yr#zk?=yoV|so-XZb^!8YRkYZryfmC0^5dKfiMbctduW`|2@D~p})Suo_*z1|i
z3_U3vw}A{!)lYlrtv7*lfy2nPP9Hy!CIdH1ze@irr2ouBbA~G65YT|1VQFR<;HkHH
zz9rN)&3Wz!z)EZDV~vhdGgbZjj}9O>2I~IL^$CQW%838x7CmIUjfHyCpp1WtJXuN%
zP!QC;Ta`#xVmoZdQzDH>MmDc-`=XVez9~fYdoO8uvU5C=Dm@#(>YaBUEo?W+<gM`H
zDt&)?E{pOF7nZ{-v@!v0?EKr;S=5Vcr#yLjPBMnlB60y_P7#p<EtGpEOg3deAC?7-
zsEQ%!mlD&2o=<RWGG=xB>~3ebd$dOIaitMuPRlrwmnjtC-`R`+Id98~`2Q;K8T7?X
zDd-XGXt&S)7CI~>&1mVLf)Qfdqy_`$=sMW#<C|W~_6LU<k{26T$;_1rNZb)%d0%Ma
zs(lyAdhwSkcm)c>4M#2&x_ygtka4m{z7-&y|BJ~vmEvi~Uq{<u4vpCwi~nRPtu@&>
zzpXAHH`U0_UIzQ_bp-Xv`=#KyCqKN{1b{OqZDup~7WpX^Q_@5TQPQ3j2R$;n^4;e-
zLIEO;{N!*|KAJc7Ab^Bu0;9lPzt@)g1!W-Jy>qs9)%0kDF7lQ0&)Y)^#{x3@9OSk|
z?KlE`dNavpDG1iI1o2nYL>-!7w(k$3RBC<?C;&<-FC%{9APg<W;{DI0>fktjv|b3{
z;uz{cnq_ZG;t$iq?3@VMBTwV^;5GXhJya&<V}HHOA=cx^_lgT5j=EfTKmOe12EG}U
zKuAU?hr0S$7P#c)D`(vNuvK$YR-PO)OrnVkh9*achQ$x&1TDcX<7Wlcc5bcTd*&{7
z=+*r0MxE+7ZCXS!HvSEH1&DDVQizf#U=r^8bB@hgm~ryCm6gA~AN|}`Klyucyzp<4
zEIp?h5(}c?wr+pH*9~*E<@dTiwTn#FPWs4{KF(ASeX`>$)SDdlWT$iLl1zLv@SDv{
zG4{9Q8n*~rUGa?NO_&C=>rOqhWl?+k3p0QN>aDG->s^=e5Rz7Z_gOxbnZyMA3+R5m
zwqw*!Ow`}U;!*g2=z7QC$iDDhv}4=0CYji_ZD(TJ=ESy>NhY>!dt%$Rb^G_f_uQ&;
zs!o6Es_v@pz1Lpvdhr0w>QbSzAil1YcufQL(m~y*>`QQ!%KzbmdkO>)pbf=vMj;kK
zHG1e{dX~(j>3WQcEKF1MM%Wn=aB~Ks?$R4SILKz<l68~7W8XWXPAB~RtCYEgF^pmK
z-uQKcMw8Q(_v=uG=rywwx4Z#p7bg-s0~be^87vJ$mdX3@4~>nQA%}-cf-fFLkYk<|
zNFMrQC)TX!>5mCbEus#K6UAG&`6FTxw#|foAee({q$0yOSqv)z<M(Ujmw;a!c@D<T
zU_GfSFm-iW!1L6#;pJFrP^8c@PV2II3$diq-~R47_q+Y@Ag;Gm)J4X_N@2-jGX1TM
zq%Y-9QX`Kz@}uC{yb?jBVt5Mz@EZMZ&7u(%BmfW7imyF9me$AxZ9{vXT5aQ~>DlrQ
zRD8UB4xzcMx>{dNMFkCLb`Rr-zl`m@eSEJM+hw4mGlBmCA>@JCD+Q2%CYh-lx7q6C
zYIQlC>!2<|QkL$S1v(sSXlky&?5F_LmzJ0Py~q<Qh9abk<>+YZRX3&?F3P32okc}a
zchxl+6YFkXeO}d6Mi?*ME59sWv&(Kq@ddB+d36%7rSlhLgt*%FqqMhE1qFC>_Bms2
zr=UIKimAX##ILx3{MlBsJ{QU4x(HEd>YHT%GUh`}HHWSM795r=m;$E<A1`mG<HHV^
zyM9!~vE0yw7McKqzrgY}MCil)$l$*?=taMoAx}TLJQWClCaW!}Xv&9(T`W@1`xaJp
z7Lz=S?%?eGhuQ2Rj|op7A_kh&e&{^gJ$_$yg!atqebuIR4UH+>UQPLM^4^x|{nTbJ
z^rLXR?MsE9tvWgGxC^@kXNB-0J-r6BT_Ri9?ak7{gmp~^tbpGu-^8Zfx8h(g9_B!E
zr`w^Tq9Cj{9v+@EWKtD)Z*ut_GaxdazO64&SsF3-`XAr6@j>4Nh-Vu=??YWm@#U|_
zM{5q7n?xzN2Q1w?p_HT^27^W`sKI_+fv?8>8@ZYuXI1w3h|W%{E0bsjHF-s@lrPmu
zN=Y;?*wD!=9vmY5KG{q>`@+nbt>y<1F+7)Iqi0<nr2qccMu!dmJtttpe*hGC^X!IP
zIvbC%1)<4<L!i|S5&nq;D*6<6dCbD!goq4O8)rHpRRR6g9o8T3iwV{{gSGsvb!HYS
z%tT#y9x1ybbtGs!cfK&pq*4lK4_7kGepl6{Cn#1GbV7sKj?2#G_3U%&T3z-2m3k7c
z&=pSwl9t`0iJ|>L97eC7{pZd+L*m7yPwAKH{`~oKE~eC&Czs?(FzoHej2$Dl?8aCr
zy9S@ZCU!hFzOcEv$w4!6{0h;b6q07ZP5CBQb^x;b0rO7uCw~D7RF}n@+3(ZlU1dx6
zl&McpDNB&l;A3@oEuWaeO@Y{vFb+vSSH#qiaBZz!z58vy=F?kA$Y{SJxsD3M5^WK?
z$<Clna+if>P86FgfkI`U55N0U@+W_%)2);u^~T-)n_slr>K55?wSK|eA97+?K9b+j
zp;q~$_m<Cjg|n2mcyOz)9Z0!a^)`L1mw_)sTvI;Bf1otBp0i2}BqC&wc9ts0?m$g{
zdoIp&cNnNi82Qphz(k!SOr*hu0G^{b5Oe!4;mnBXq#gA}R)V;V>dfsKurLqa?wwKR
zDYkwYw-ws&Ocb27Q9QY8S(5yqjhbCD%SEcQxA><rSgSL#j^#a7pMp1t;QvI%v0pON
zol8x7CXeePfW6CklrP5#DotZ<df4MO0EyU86Z5TCcF)_oVm@Cir}K+qj5c^Gi^Bl?
z*N*}q@!1PT(D%VW{B|(vn(pfk%so9-ray2wey<bX$7hK2kWFys@kY~oA2i!~+5d`4
zwzBn9*qxza-LT32E7{TG{)T4r&F^z>ef#R-;*+Q?aJF!K7erW5f0{jLqA9p4pGkA;
zr3Kd$iS4e<Wl?i}@7C?~wk>WWn(0vN=Jg?Mf{RN(pUC57X^49Iet)N1CDi)d-p38W
z?{&>iE;r?)Q<pewf08}lC61+i^R(Vu5J-~l48HENWs;7(LwFQDST^>gnpmCp_!1fb
zh0k4kxw_2z9F06_y2!PiUa2p*#wIX7RY{k4LuE+#opVr1YFvfwLDX%^l)LT-J*C$*
zp2^2vpV!{13(^XyAGXU?1!cc6Bn$zvQe6gb6#U(1e0;6hm42CF0a+v{W?JX}PXo85
zyPRj^wn*&dJnVX~S_R8-Z&0j}>5OJ{mllw%xJ+OS);lHS<k4$5nT{$$hH5QHe>FyP
zSp~m2PB)YAQcaux0LWF<htCU>pe7%TE6-pr-lNDJd3wQ{6+5awKPHu6BT+$Gsq2f?
z++b$7JO4euvJ!$nTuPXfeIqV5SwI<PcpXq5T`jWfK$u!hD?Wh6$Gdye##23{p}t*8
z!%<DT*M$Kc3V}R+(SbYD^fldx0*eHRoNAtoJ7gbI??Q7~xCI`r8>aWv{yNXfOiZ6K
z0TlQD3?lA?$<H}{)nT_;$(KVd9?0eMUc$rYhwWt~iBTJ7=`7|3+uO`NjPuR*4SgCZ
zd+kz2Hf^PzFD)WPNhv_Qj(f~Pn~0<}i>A%$*&loz+?Sy?(2S2N>3;VFyhJ1K$PXjJ
zSUpdz;DF;D5&)ob-)~%{WBLn%bXkmfK>#%)!He#C6`VVdcjZiKh9GhN^0~+Rgs(x=
zn>GK6;<gq{Wt#Rs5-W<oQi_?%83G;fA2(i3{FQ&vm&}P6*_yl-e8RST)YYI$_b{NM
zrjc;F9nEE?2V&uakmDk?0>`PnKY=K_$KO$x-7w|ba|L27wbX98@IA|g;lA`ge-5UP
z7qqt06%q4}0EGat{|Nb{ka?UuL7>d2)?5%qFzvTrG!V7^>z1wN?6}m}_5cU?b-8jt
z1{v1gj|}tUf{=v!+Zn`SZTtMiRQUL6`k*k_O8lOjd9*baA?YhQhqvH2`O%HsmT=s?
zo|fO*8&`OlfFMwuZ+tLP{N4xJccZ%WE*|lSUA2Gs{Q7kmaYEvmq>H4F)#1Ull{otw
zP)au$C6QMIDokw_ODo}N=tpk&7m<)*WMem-#}U5!DS|<32;_fZ0n}c;fZ7SUi}=AC
z82Gz4f5e;x4%2MA%Qy;26KyY!qrjLZtqZzx$MMqOGuA*3(v}Reu+chfq=e`ReHo1w
zwteq9g<eNt>auZ+Ct&584taT@LQ?iO>aERp%hKF&X~2H0mGJ#?QYyd9lBx6vn~+zc
zI#pNE)NU=WV%udcGFOS8clg*4@WoUDvxfzDS%?^9t1Zxw4IS7D?EOnXHU0TmUK-ZH
zosd29D@lF&@10RhV46Fdhn_f2b>On4W(9Pr3^gg7=)|Hp&&gKzpYp%!kiWi?K@X+r
zDDw&RI{6%oP44vDp24!S*-#Yh=9V0vBdrNPa7;qwsS$?e@p}98=|ea}MD5ccR7fX8
zQbNWw`jeTl*wiqjKQ&*2OmwA4t~v}s{GNviH_s0}cqv3vJ-Lx(MSIGj{!z>)Z)Irn
zgg=3)V;+sgA`#8w#6XBjMdF&Ot!gKR99jy}01Wt%0AKh>A3qpazCtCe0|&{e$s<W;
zPdgquQ!$p4HaFw8>Revu?JwE*!ibq73K6GLHJ>00%e8P5=`%)vwp7l%gfr{_zue;*
z&)Xra4vBU-I?agkklF`6X&TXpwMVz`Z->Lp*tj|x!^8v?PvOQ3u!)*i_L08zx%s&H
zs+<6FrL75XBE^uXB-FxOmL+#!+c{VBG)=-l6S^#J|K4+lP3wSKn=IbLNwSSfTE>0*
zXVN%YJzgEAuJ0nb%;i694;Vo-uNhbkR`u_f;2MGOxUamtq&f^SfwM~jVMc5}RySEY
z&K>GN>UYtKE8WOW-R;H0qTjfMpBq|eu4|buu5{gI+?aYSU;utJ?>J>?{`c9GbOCQ>
z`bO7nezlQ&mhQjEan<^<6UXZgw?^IvXQ-Z`kDpkFZ%oMWcvML$n*%f$6zR%JK^Wic
zpCSVOrrzHxbww7omvh-1o=y<BI^5r$Hf6EyIel!Ta_mceIqY@Jb~}rXs_d*c%8JGA
z)De=1T5ok}Zihbxe|oI;vbm09U&7GSW8S_w(VZEg@_IO1QItc^0-GZe1=>`E!q8Wp
zW|$5L4s8us3bv}{Ok-p)3(;kC!#T@SYJ+zbBU5KZ&Pqi|ztSAuh7B+?>y2Vh$C%7R
zPK_rVCl<NK2p5k_uMP+2j5b(XV1siacpJo@vjk6(mGxDBS!u=Eg3@PZYWmAnQHu@O
z_p~_=Sif2G2>J()%lau6^hP^AaS$FX-=}lhm+DYTEx7o)k5s|A&L|+Q;f*AE#m{fd
zyGs}dZe#TuD*+`*L=)!6CNKA#e(!0+<A;(h)MpV`-&RQ2=nbkLHE2UY?LAwA;~y*F
zL`huh$4V@3p!+i{A1@Nz6vxs=l}J;B<TEbUXf|%Yx%*Er!s!I>w@Iq0^HVtYk*n3p
z7tMatC}^Zs(v8O%XlPVRGz&Hv+eabnBuhG8GqBykRObA3^_t9$|C^#WyfCipW4ah~
z^UkMeQX`W{nsk7opGpPVC;q7875mTlCwa1>!V16VIqFcsV!vnXWSS;n=g_Mk`k@tH
z<h4HQh_VqxT7v22T2q^T%`+chC?sAi!)gN}V0;gB${QR!3R50xx6yFBlBkP%nD2DN
z|H~Y2du(FjcKm%2O3kn~U^OU$x*88lY<CBO6h?q_2>Q{JH&TtI2&S-+IK(wi$#YpL
zG0&We#_EDwNu<uxotg+M&(~CA<58(wQOWvy=(~|~p<<+tDTSh*Nm{R^c{)R7xS+Ej
zyhh)bkFeDq;$S=8Xcy<ax<KOo<E=$r;Z8i)g5GLFO|VR~`z}GpVM1-5SgD|f1pP3n
z!X7|7mYJ=nsy#ZIp5LPWB-)eB)j+w^(6mNw?!M6oU>P|-r^|%6aJZx4EXq99GmqQA
z?r#TB_B=)PFno^M$~e>oW2nnJwCQ9mCyOQmG7!DM!5>{a(r|rY{bP~DUfX05eqmve
z@#0r{-V_fBi^XRd^W*!RWNKx{9b@dTh}1h?)y4TkZ)<B*RIcuT$!6zY3M>$|c@1xB
zZgTOT{~(HNqyH1|S3rGuCW79r97l-)5<%rdEBksR@f7VgMqz`3*2uw9IG*8M7mX@a
zVU_`(q`5d(H9_-8o|-l&?6}0|!!9Sp+i_(;($FrJZuM{K!6!ZHGK=e$;`%{ZTStsf
z3>WGwMv4^qGs}8OE$J+BMM)*2!q4DcY1Y>0AG%;Q1IY4tIOWT2YfLx8kP|`ux^C)p
zQ7^oNL$ZNE)TrD;t+rqAx*X2+c6?Cs&C!-NHj}Ua`n6srZDow5_5py`HZFI{^=?Th
z`>FnkwaF~5W~cEv9GjVv+Wc`BE5?&kU-M3zp^N8tx*6Vk=T2+`W#}I$d-tBT4u9Bv
z)MnYCY{Kb~x=e6%v`unB7C~jwto*G3047nur()6F9qFrGx19{@*ctYU6f`#3krpA>
zHt&0D5jW2DCa*m%zwf#-Rk^zq3s6zSvkxd7SG0f!4_Q-HQE`rU%8uhWU~}mefgCgx
zRf%Uso++s*4y{h7&+1!{k=s;fsM;n}{`91_P`M^cAqkG-<M?Uc()9eeU2S3AsFL<v
zRRClJmO#pFyBFIY20C8~z=lAa^O)Bk*{^z@M66hQLRWi1N8pfF(T^__9ZhEpz7|SJ
zdoB`}EIX!PV%-Re8VTDmrcCrxvyyrevW#d9i^MG&wB<6TsIUc=uKDlj%IJD*Nh_n9
zg1F5PPUPB+1Zy}G!1}xzw^(j{pGnxoQ27`y(R%wnJ5_aM&W+l?-1odWuVN8yzofTE
zbcRU)>m$2djUuT|^se6eyFH()^|*zg`uagM!4z|(fUZ|Dd;f14@q7H-;~NHpx7x!u
zU0owZqn{031W1b}ZN6W!ba?~tUn=ow`$Mkfbq$q@r>zd#mon)7cx-vD(Jf5w$Iv&I
z3`?2}HQJoFy#6gI)_*}+ko4Og^h`bLPSenI1a73TS!0F+6gJBRs9IA0X1MZc5m0iZ
z2mBgtbwU?EWD<pYRYae{1p%`cYbz@Vh3q=0XR4G=pvz@PLE7%b=9sC7>={8>4t7sg
zfhYd^=H7Mja$j!jFXaxFGn``KfZY$@X=W^;!lHh9Ace6uDT{gQ08Y{7nd+^V3PK#a
zJkK3oKkrN>{`hi-c7Cwzcl$iXjuNs@EVVG_F^C(l!I0A>Ueig8gAIoc^<a!;-(eSP
z1os|#ew?nF`fF)W`hwrXOW&?~W?|eS^I-zi&82OU#6g@hNQni6SiBQDoo6*9zu61N
zsZbnlqOPbNOLotBRCYW#Fuo~yhQ2Vg$$A+R=+c>!JV(;A?Jwi&+eNvlAtxu7MlOXU
zj&^QBE*_OKZd3);raiJe;H~Mom|Xg{J3M?8H<tCw<?I3mgLBCRCm}4o^Z<X4Yt>=C
zAfwIn_v?2)cMf2@DVCh(oN+E?pYx6qIl>O)p~ImW)ZWA<ib*S#QHg+05ZdO^5jO%7
z*`tdW6r>a)!F8nU6zzu-k!~Hd4pMgbpuc#6cjFM|elloYX*Wnk+GJnRv_5aoeS9&3
z7o57#-$=%F9;_+xHoEe{rb3SDU_4BUs4d^*y9uIqBk!5sXxL$U*4)PFUmwgme^tsi
zeLmKxG%{M`p5AhG8l_bDc#oj~sM8V9bmcAdFirTG({C=|7uP{i6k04KZ@oZHc3%Gm
zegGiqIFoz1t<~b@h0g1ym}JzaKpvF^bI6mc*=!($to3<dVs%9G&X@h@3L|BxH30?T
z&pPI!b?ktO*|7t@c{+ZUr@Sid=t%{O<BpmI)`V&FL-_d^&=Z}i8f#s%$y2``QlCd7
zQ&%baRb@C(8ePECv?F6ut<jCtn-7)T+=PRBqI{RX`Khb;hatVx2xWrIurYc;pHSP^
zsMmYxdEYr>2w7Qzg+r<RTLqNeJJt~1K>ezcwUMk_?JZXZHxDGF+oRy**$qumx~^8_
zp>svL>tr@Fdv_uUaXN>&(?b(i5b>W9`(N$E=`)s7emLroFFyXtV;QT<WD6(=`b)ld
zo_sGWBX-}Tz+LN+ZklX{csAfkocKD0rd7~+P;)_@ER!&_Db|<CW<3nFtH7_Ws@iO@
zTKo~SqHSwyYe<Z|B0_VC0&X}Iih##Dyh*K}+d@rx#F(t@+(V@ErzgDKv3V(wa^`qw
z&k}9V%Yk<Wr6GDN@eBqR7W}Y6B}Fv&j!IuYJuYs$k<(34jomQ4GxiUf<lfVd0#2D}
zj~s`05p$lE3TMc6Nc~j<xSHz7o~2lkCteRNIN3zbVi&KavU?(aUydJ9cXd`{y1${W
zqfhtuP1S#9BJ?c7#Uj&1cnuFGR+O#p+}=3alW_&cJ2~4-he)fQNX{t21?xV@D=EH(
z<PthnS`HI-4lf(B9ilC+iRQb}9zmBxf2v)^(&d_NI&c>yq72JHzd!dm){=9|m6C#M
z`C?sZaU<dHCPqd&I*#4H(RtpOX@BwO?%Pa}c_Jq>vgZL91@MpSx>*f8?}hJ$Aty78
zs~`FO$2F5zlc5`&yi;Y(t((9S9#b}Yt;tnT$eLl&DsB2ZrHpHxy7|g7OrpmE_!#!<
zPbjH(p<$h!iM16clH%OSZa+3Wr|90Pl#E(?nX`0o`%tX2r06y1_$0w&v|cqPswurk
zz2IDn`!d##_Fin@_r|VKf6&m6cCB?LN8|MrpsD2Ha>j>4)j+UhR(bbpPSjQ_DaVH~
z_?&o6z0+aJ6A;aSS{G3mDuMsmDK+7LC20rC=o;!#IXFB@$4yC_DeHexMuT!BFt#-`
zykZavw8pu^#UD7yibk`GHhGAVIuHd23gr^{1y_#JYhd!u_=EN?CM$b%ZN-6l@VZqN
z7gNS5w-fcc2!|isdc0X#xeQR)o_BE%K?Y<Q|JgwL{@VBW`Xp=SEmoh*f{Z1z;9Lan
zN0~pdhlLe}##EE*ZF7^``ymzrK0%+8wGTo~E}VRy2IOeI>%{Taq6XMWo*E|{mHDQl
z`n-5O-B1U93Emg~)@f8sh0xwIpCDuP&_D0XI-jZgAg~}OgpM$<-kp>pw6A^@H}EmU
zcP5G@B{HrUPBvP-81pba*RLW6D>N{0R7*MH;{n276uv!VOBv|~9PvBxNe(e6Zf(x3
z_6R#6A-C46a|4TG^*8s&a2cnDX^<40Dz3iWHZWGoJaY>W=#ccIrmeuqo%|~G%0v1v
z#9nti3(^47Lqo{+h*-_a^cXWk4z*b~so1;@l^_iZp-hWcIV3;Gv`vfJ%xwY%pony;
zV+0wEjI?HJNl|KYc`@gQ*JSjM?j2gMLm{whk{;%ug`xQy6}PE9FM{C!Wc;jJS%o>?
zWDM^a>(yeTK}qo+Jn~^sooEjD@I`=;j4B3%bGKz1`a-y8tZP<wUXM$Q%;NEUbF+&*
znr9bj`bu{`Bq(C8h*0JvaQ!v0vgT;DeR=?079W@0P80J~Cf^@WqOSe5iZ~yKzQ)Sc
zXFXj;IvO((O`bW9O%Duhp7&vv$Pq1W5q}PT#EEWNZ@xBR+DRg`B@HX-3<K#j6E+W1
zs;!Pm)^CMz5-SZ!EXu{j#R|^YinuSF>pWln?ZeDWTo?c}$;8>&*;Cy#7Wl4K+{it2
z05Qn{*DI6ssi?5zq@F6lUJ{e4wvQ3zAgb}ohv^Wx*Z2e+9KUN=9U)Z;b#WZcK%}Rd
zX5bH(Cxo-KMK*jXRf3;n4CM_TKyuU~X9&cnW(ZC67nL$eqVz7mt*lYtkL#XslSJ{e
zuT(Pd`Qn(S4}wwwE5m9e4*KlC;#7K{I<L0vNPPn#yZ-gmeb0<Qjn!uS8mJHpKFfo=
zD#qowKZ?+PHEseTwv*~A+KG%d;S0Qmwtj&`c^)sZ2C~%i2LBYQ=mJG)+Cv{2oY7);
z`Y_%g;b~D=E+XX+(e|=>e!bB~^dxme6Ur3VVRVsZ-W@%sk=}VnLqydcQMAxype=K`
zIo1UW%-931*BXks)ek@q2H_XrDjH|V&Kov6dqWR`HoXgf@K;&kcWf|b*v)fR3|Bj1
z0qhLoI|UL~ZPCS=mDpCNpm>hUB;<hPy?d$&j<lZ!R-#PvJ5@$vWts=hO&qCgycrLt
z^z>R`);q4)v6>t=)pZF8E`JY<f5^Z^>sjCz7qn8l4;8GY^4EC%^M1knWP7QE!8ke5
zz(vK+Vbv}zuOvolVaRDX;K2{f=--p{qNA&vTXUp=aB}KgN`gC$-=Dp9dT?trpH^(9
zs$Y`-`kKVg+fd-1_et(AIMK!IqD?P7vYqpy$l|c?h7LGgyPcC^U?X)_<#EArM$cCK
z)zx{4gzn3EcmKf!XNDW*qpbK_h)FA4I#?soG<C_DjGlIM=rH$7l<VA+qw?F&B_=R}
zeJYEW{i~f*!Iy!qU1K<kRz{!0nYr5Ag;{^y5j&twNezL)Sz#Z?ml<Ssl;8#ysj%n-
z2c8&vZq4q%u&i>1L#JEHVxZLP8v)KG?q{CL??dPEn|Z7)=E?zTDq&_NB7noa+B|&R
zJ$@RGoed2zU^8Mvm)KIs8=YmD9YQlY3jh8Cwelum<=DnjcrVp%@*||7ktN;|Qoq9i
zzweGqO_mCJX0((YB;4bk-(>>zKBy4Tz*fQ?CiBrruIFJ}b({F|Ny|Y}zyB&_N~=Ma
zd3Yr6h@<vjTbYDhN{H}2^6=X+dX<tSUWf48OPd0>+hKc(2qNHFA=A5Ut;wq*X}D;$
z8}E3^;EM>FQeUl%{Uq(^+#8@^;w8dmy!BBK7}l73`<$9p-LI%<NrxTr>NlsaOJnrj
zowOY5f~Q*#mUm5#@@wk7Z{)rV;WR0qaqIB#WL=)7sMTst^Ae<ADS(<AUdxX0hI_a@
zT*7LvA%;et{{U$=lQJ1&-^pH}pVBbtj>qb+F-lTz6F20^Vv~;&Dy|2>$;5IA4(ARr
zgzUBycC{n2C-VN|q(Ga->eVQnO)b&emy6&juTq^9`IcJ&^2lBzH0?N&5ST-zh`m}|
zoe`uy#1lCA=qvv4oJ1coi>>Ho+5QZ&^lfV+E9T!%96IoJ`gv+(=Iuw0D9X`qdo{>3
zP`>`8tLZ9i`p5BL-y#shk+ej5q;MrRwHlu%3v*1L%(2QaCzrimOuB!F0&jHGVa_IW
z<z}ZzjbT3pEqx3(8hxM6f*Rpjo|8L$1*U~$kabX;?*+K8hYs$HI8808y4`ZGnABT~
zhVbR2Q0`;LXQdJwo`%I{oygZxQ5YLhjn>iV7at%&$3|$|qJKbkQN(He<ncD5=wyG`
z1@Vr;kftHm5_o#$sh($m+ll>s!6)8dmRLC!?LeppR>OR%TEF$dWS6b;``s=*4$n-E
z{bxn11mrU<KfP9GiB|&BtCWY73al)S4(9eJErY71kT``VRkV_{R&8_%U5<2HU|LEF
z-*TF!2^O}E@OY*%jykA9g)ZBSS3OIIs`w-ONE&9*luBJeCo&g*P4{|(++TE{_hq%N
zM~(bON2Ja34nZtt)$g?=hMdioMWxB%F#j)jkpQeQ{}wlV|FHM_8CC>qKIr324?W%N
z{>L5HbX6P=V*=JR$H2WZ5`vu0q~P57%apKQ*n*I?^J-AQ0|EqoSx-R1E-xf4KHJDd
zFu3x2)yZW(*72dmm3?~&2zUSkRYPZTe-P&fr+eBgNMH)SH6UQ!#w?*34x)+Bw?^gW
zOKn+y(W6<-&^P&6#|kF!<z1fMg}RnC6T)Y<F=EBJ97g0%?Ui{_%b0~6wspZGzg;Wg
zFDL1{PmebN!q-TpjI#Z4rfy-|oyF9NdnQ(o!?8o&;k=ndx}cb;Zib}|leS7U@<O4E
zYNbme{wa2K@+ft)!J#31r3dY|v2E9>3snw^qI5Gt0`<*8W4UxERp;P)TfKB6p?kK~
zQRL}R|IHf?&iVnHaTJrdj=CtB&?IIsdso*--q?M1&{Ejn!uvqX%-pHs;{V_hV)wh@
zch~`>MJ{k7jsj&B72Y#{tjXnKXN(nmw}0HKZJ(Tc%+(oRFR(!e@P@_s-@zFA6Ne=F
zxP{)B+~QuSH*~uGS7cRfmd&qD+<GaR)Jp2IdrR+?D4aTwrP?H29P+y*bxjVqA&V~e
zo+svLKK3uuJ}cx^eL(^~UJeK21&qB&1LaJac;L8pv(KO5)ClV-UfZx?PpN*V$)IB6
zWEx*Ktc|B9a1kg1IOx->J@Z@@v`~=lj0mT735m1H^vj7T3S}}OoAL9`*LRukBt`Kt
z;Be*0Lz1Es*$m5Z3<{F1VPRA6zA1hZ6|}%i8MQiNCemN#8SZ=Cw6}8p-f!qkq1Et$
zg@gM>>2=Sp_TFrF-8wot!UFLLM|M)Mx4#BUNlDQqMsCehezUW+y<|wE)4D5qJYSB}
zl-`~jFDNQ2O$)A5x{@Ya%+v{@=5mWEVxi=scXiy)F1uY8j~G+#`xT#K>ti!^^YG)5
zm{`;On0bJCSw0UP={G5F8c^R9G%=ZbINb;@qsoR9c7g4tT{EPREQL~Wb4uB0^H#Z@
zX|pEYG7RhVVFX<Fj2%gif8lXi>t2`)r#qv=A(TBLS8c`uX=dMeqNeW;+)s<M3nsb>
z_WTCw>6xKO&*6y4`iN0sUX~trEUc0Q;lhF54x8q-kT@AL!$e97`FbTGHRDR!N}NO4
zI^pJYIWoddvQ1d5G+Ho;pAtX<>I|LmC?$YUcywD)+W*Alb82d;2c$L>xxT%+`igD!
zkHFHxLb9^7f4lqj7961a_`vltzI>=~`*<i#eKWiYN}>4gml707tgi;gXmp*tl2Y;t
zurbkS8J0vn{6l<oP(`SFn^&ky_qd!>Ag$~=UE0FwX)~F*!b<mDvZZeb0sx#7jR1>v
z{H~R9zS1qJLV!J&bL(Ttv~=3euGF}&w(+@8*P4usNfw{Du|gv#Jz19>^{|>naPo!A
zh_N)RgG2;No6fzDKCsQw*ZC_`lgS>}Er%0IKqR*xHU!l@@SNESxj|2t0}MO%BHsJ`
zF~P#>b8s%>n{xG*`Vx7$|9o!`Jyu%^nxq4oMB(}IaSBtcZfmR^X!p#5*DC_ZJU=^Y
zE{%Kt{4yXRUB1~=t59FX5^xSzy-uFW(9D>7WBIKb)sH4jAd{JLwkuh!V?k9(r8Q^E
zD;GMJLUHsPpB$|OKbz_^caol-u9J|^oi2OKM}8QCmhYPeuw_JKOqI9i$}-jUw^%*(
z%xr*=y>9rdQOnOhn$3e{IhbSSSgc#NhmZ2l?%`&<KLCh^2Th$!4^PpcDl^XUG-!*G
z8AtxBc%;D2l3iYBSG}o99GTJDmx-^2*%-nCf_Q~|^55klR^yN8sc2|CcL9ZCwa{wn
zKxXd!(R^Rgv1LjT@Yq8DHsFA~nP<zA8v7L0>u~uW3NeHB#R*m-TtaTr`hN#r#!LFb
zd37tTJh;UU+NLXEh<3yGKPx9vBB-S;PcN$TirDJ;9ri(owwpM94raqFvHwuH%~qh3
znZo`tv}V<Jzf>9)b9z|B%%o6nkvOdgoRT?eGSyg#t|cKt2h<CnZ>d9kW&dS+)r;d!
zn+*}1XQ9^{(-m+Ym*m)u6ipVL^3G@it({J0<ryT8;rVK7<qRzhJ|B+3W8l=vg9qK&
zJvk?UJZuI5kQ^8WGt*GO*%)i}r6(>}rh%e>)uRp10cYUAr5N<GaK4LY9TkL6V_kQb
zxX2WD82oQL2BV4}4Wc`I(pg7MsamPTq4UQ<H4JN<i02`13an7jx}Xl3q5>N@wm|ZD
zxmN!{Br31Zz0t&>FYh(3m7Xr$FQzy(@!ChheMyc!iWq2kAmnMTJ1w?!e71jOFDO|G
z{EF9wo8qy()#Qg3ibjju<ywItu_8DiB>vv(5Sk<=Sy@p!ty-@mb-UIu*bR<;$RsNL
zwKNRb<7F3#-0HefH3<=6%LO|jY$Bxo0e1<8*`8DadaB@1$xKmCk1uY&H3m>F{O4aQ
zkU{8Tw$FA!Dn&ePcU%l*wa1bqPr$<hoFaBRf@nP(k_(AK@7&+Cde7pAX&*7;1Nq)K
zYv!>vl1ehVy48&JgTXCr6<B|4>cu<Y@r35AZlsfgG^%c$8^pHRWm>m_7Sx%OQ;I01
zTBBr&6EPsS`uh5u=+A6vpo8qrOob)W=>9eU0t_>cfaW*M-bW%~h@Sns4$8ZKs`tg+
z1OXm%#IwlIVY|;}%isYsK}5HUNh8INUcd?#hog^bhq*!sXA(Hy=llKp_c!zo&#F(1
z$sble!cKV>>(095fq@py=SqA_bp0GiUplCubu8Ug{kqk`DUI5X5E*g7@`{S<J<h8M
zfSm|=+9+o1zMnGif!}hVHR$qkEm}VR1TA_X0~~>!lq7e9>|il;J<RD~_l-JBp*I-m
z;u>g&_|8$RA0vPV!A?1)T?nB!eHpG&pQqU-ug8njgIx!Rq(#ZFCt!48kdSvj?mfSY
zcpXv~iPS9@P-~x3K!SuUd}GpSI+%<lQj9gTmEG&kDLCc|94@aoe(>h5uf^Y;bHb!S
zNG*wj=20~~4M3Av#wm`9UjdyHw1C$u0pb&ie8*8tWpct68cZ#v#l<Kmn^eMY8luk~
zqpPy4Se%9&O)F&|5)>6B^QP5em(v2|<Wj`$pFxudT%MoPKEHqNLzB2B&$(M$Tjy!^
z`1#JE)dQXB;=FltF{Mv`1`%%<0AD-L?-kG_HE6<HK&GiD&>Pm3>?n}fECPz*mjP0D
zSs~Q>%nAprIqhW^7)?b-UE5Dn*K?A;hVna!{NcYhpn*^_)C|+Qe?p1msO!Ek;Gn6w
z%0kGpSdFt%$!0nd$RR;rUtc^n9O%`MHBq>cWhx`lE@U<d2vSSBfLLPQIonal|B18T
z^FXbq>sK)*|CIlQ1$cc`;f#GZWY;(5luUHXc9vp9hW$f4l&gLh!$KAT8H)@LDMCHz
z%GU#YP)#zkvi!k*A&{83>gjD-*NgZAuLkI{_T>UZ>|+6ZX6!bbnwmJ2r1L-=ifd|W
zC{sVY20{@;0J*^Lje*?E1J8dd5Fe|TykUOBy|LV}VmUCB5fsTn$$I;N*x;ADay%8~
z7EaJ%b)f~|*vN#T+H={oF#!WoUs$r{LSa)4iG-Y^d1BmgBVVh_`{|<1;P{^nVC1q<
zX({qR9uLB1%NxHUEt+0WNIIe{)}*+vgRoNzgrr(D7=tsmgEAG+*xt@<UBiSg9CV@$
zhad^mPZDdf`r8K=nZLt*+|jB#R;krs1|;wSSeF+UZIy_CtJ?z$4*D%a1LT3JRrpz{
zOynp^e<S;TR;4>?#1ca*c=6`ufxegk^T0Q`EcPNkIFvN81PZs~+kKfRhjP=w!{>Q%
z=EP8SLkbQVHd2w`Ws0b=YSY%JiP|w(nb_s?%jB-57(I0GKcec@42zdW36>G*%n^(t
z^C!|_%9*ZUGNwvL=JxK9EpfRxr<CLfB>z$>9Ho$1I?dkMLI)C(uxfw<D3c%Sad~3g
z+?H+2)k?`BVb6lnVMD7!L#Bf}p8S-D_vqLJ|A4JsVE{X5z|8S`V@|t9jXobruPPv(
z+>)wd5@?ke3~&PgMjX#C7Ov6Zj$~JOP?zN(Gef!<*0Xs+MShrm%`~}}R04@pj__A_
zu(2*^%&D^vbnUGGEu$S@AV|R*@BjiRa*5RE$~`s*o(Cr1z#kMJ%#;LzRP>bF2C~W&
z6&0U35)#4-LUIF1?t^e5w+9RePuW{d5O7vun%rVX`71$@W{OPD?A6}PfUUbir%D$`
z95G}7l7zuEBXtV`u$6>_mpr?3|GIZh-WCiWj8yRb8ItpsW8|eI_ARN)fs^RCg(J7=
z@dLpEEKqTc%~7J?+M^Y^dby6i@Knpi5u{$U00cl0!V6qZU}BCFAU7$TyaftKB<D+7
zS{ie3t~^bO;VBsSt!$D5b!`!N+y>9)tu-*=4P<uH#*0N^PVISiN4s7OMxeC?2M15W
z&xo6x&3t(GRF5chfBg$@2A0*986Vs1{>6v&cJ)iMVZ=%v;?$rv*BLUJ%(ngEy56ky
z|Mx?v<*b!dYAG=dML1}7>Td+CM)gDOUwq{VYNgDdk-zv2n(5N!XP)-WRjh;xlS$DL
z2a@(>R@oLLwOSoyB<fdehH{kJqS@<BEFhps>i)9jLGEkCm<4q)Xg`&)vdaZ_FwUE^
zdQr@teCskN+4$)<v>eil-|&9h1KjGrrgHf@%4=)?x#f_H6a{l4y_!A?{t{i^x%Xn8
z?g*aQ^Bbe!`g*wfN?x>mx^M0<JYeR9go2tdu7MCbnWdG0K27}8`qczPtS}7gM-^z6
zYs4yRV|eEPS<U{xa43Z_J$=*JTr~C}bk8o-x-<BQ6w>Z(VSqSKAps$f#;3o-Bw5Ol
z4w*^0ru$xOQG`??;-qD{6Q#c>10+Cf01lYF$N_Eud(y;F7nth&BG+LXscPUx#h<wc
zMpV$gUpMrw!htb(9EAVzir@m?t*oszmKGPgXau(A=I*2byaC^(H8u7M#`751rXz%x
z(c}EytbRvyq!oEf@N8>s@L2+2oP*r|fM2#CMlNmCAsPF(f+|D`wu^#D`{3!3eDE&O
zh+x%f<7n;d2(Kialb}|B>QV5W<#dPgu_NnT;oPK`fh@c?tlG0(Q&FTq6JsqIQIHNL
zxQtC_K3gDmjE9Ts1%i$uoC@-f91nO%@GbxQ=iq%|FO>+t91N5<EF%f|z&h9D#IHU%
zIT2J*NlG~yqCug+olMnAAJgqNcYsElNTxAj_I&d{5T>op<y~srh&W<b#XKfkKK@M{
zeskMdEGy$KYBhHC_G~19M45t>m6}BTJN`(n)JC^v&GN1;Dvim04*RHXyK6B3h^^7|
ze1td0HN%pwyBxKYsJZ6Wj?wl2Gy%R4dUc0^o*F5${@cPPmydt|v{Os{vr%j?hMD_3
zfCF0*IuNZ<2q4r*Ljm6<i5qE%P<~SemTzZ3URP&_?K*pPZEbC)@*8<T$*13U%iNX+
z4iE(GTb;Zq#v@q`WgnW<HB(^?-p*`kVX^Yd;YA40jL<pykEoqmN=Qi3TD3MbFyFN(
zDNqpl^=lz4q8tH&DOA|-;H{IU$B%o}y%;8{L=OMdESj@yAw5|XcI#I&17(tsG?Z{S
z&n^@2eC(G%Fbx#!o%=)u?{gyR27*`1nwy_$sEZU-q<cDmyAQ$2Gpx(|c?*nqE5i}r
zd<DfBUxK<w`<xJvXhN-8E1HbVsvr6U6-0e=Os?XqZP~dHxOC;`bGJls`^@Zl#jv)r
z7=dG_b^PJ^F4QQF(COw6u6{i&$Oum|z~`~<4JF7_FI9di$%^ec7TQnx26o|F5<kj*
z#}fgb-!QZLK}{nIdXhNngC3yU{OAqvL&%2-2pGlY#Og&tVY;ISIN<j-0dVJ56-yi!
zdUf>lx+3>m-%j#w344JU{OYo@1V8|CePwmEUEZ6n5OVIL2X7nz8dW&gc(Dg4SF!W<
zcz(UsV6MOxV9&}5G<v0@LkH=E{AKFv`?-$2E2qNIsGO(zyOXo-#Fo<)MaEp#sZ<OG
z7~du-vxqd7JI{?$WK&3C!a{zvi!dx+a61w%%MuWMdq0oerwf?!-eDV$&qh_X+8rIZ
zuwO?~AroqW`4`8J|K&H!I+qU}M4e{4$rOT47`Z#wW`H4StMg<TaSV2=Rsv>(VZf~D
z9E2AW8a%hAs>=6ob#=Ate?5WJ)YQe~IfRgSEb5|X(B9tO0K?%4KJTXmkkWasj~c+&
zto%DrA6II@=4je{RJ=K%&TTt`Qc_j;xfdCip~-kDB$Bn6j;oUYZwUFGzov-mWNVfx
z9$hs|SkRwFDrA<kIG#61CH?dgk82leC^t6!USn%JY1es|x)vpKpX*1nXw?Gdb9t+q
zyX^fevenYEi#<*bFb|DKedJycKnvIlLV$wUwm(`gC!l$FQ?_3T?7CPkt68v_%qHxA
zFw%?@l^ej@P62qF^~VW2@2gNK2T}>Wp%~i=Of+3P{qI1XIteH9n5X}!i~Y&yiV|2G
zGn2xIb!Itg*Cc0I8pZ7w=8U(S!RP8w$dynu{k7q`2TJdbw3BOn9HUtAFg9GP#PSz~
z{l*-&3|@$x<*%Z743)-C&4N~^zP-8Z^UC>S{pKSGbdVxy)WWS-m)lRvMj#=k0yvH7
zIpn;mp(zRjI$!<(rfxF;kBI%&j70JnFb9T!iBtJnNC1fvE8C6PIR4a$gq-OSV;hNO
zt4wam_F5Fu&+G`5pE>_kiykRuJC$$i%EV?@EIb2G;`P7r8ZSp_6p24^JM&*2mo{HE
z2$rp52{_lIfwpmnU>1-b;cKs5I4Nw*#w)iUgouTVJIfSJA1K=U)%dVGG5|tx6SzXg
zx3{!1du^-Hf2IaciDkLUZd}_-ruw6lWe<ut^a&&ruh+54XY}rLb4zJoG4(cIR=N?8
zSQYV;suqHrl29y684+8>_~-nDoZd8xQ&Rcu8prD$uCQiEB+I>U0A%GC{Pa!3*_|~k
z9xod)14m#INW;+mVuTdH56DlJpQRnS|DXfvab9T1&}o_iQSS(kkB@ofz^t{hriKdm
ze*XOYyr<o9e;6)#PHOheKTmdZpokfn(f1|kc8AaHmN|0)X2#~<MiKAxzc$PPWP4AG
z&ZIa;;8Xb@Zal3$@taN_`Tf9b`iHy>D?a}=Zrd|}n?RpP_kuCCp%`^Yka1F$j*5xb
zbpCMEnEcSV1VNmzDzG*mZ!?`<;Y@WBZn?(bnm$vUK|za}B_y1LbJ&;0N=Dnk{{m5j
z!b<NSL$IgkHB{{K7%sY&3)0H`mZK3iahbMm!sOj{iuoYhzR5)R;SU#h7P<0^tvJU4
z2;E8{I!zCS7Pm|c$Lx6INlCC8{gSCOh9JuY<gLzY&bLs|+a8rR%gkzomRe$?^#m2m
zHg(EE!ip^cPZCqt3MO1AZz!;r{SGLXxRz(c(le(p3OGgK(FTAZjb5=%_?!+vF!8VX
z!#F&Y@TfEZS&WI|F$)EDiuJNLF`<jc;R*Gt{vJ70c<krMLLx<p_8LNr`CU_t53jS8
zjk8yD=f-^8mXP&1ov@^?IF*0|PJYFy2EN-4&`-BRLBBUQ32T-GyU`s5;CfB8=u@&T
zz-jFfi~ZTHg+eL5f3<u6vw3|)xMoIO0)OljZ*FRNv=z|tWzg9^p;%9)hoTWH^FtBP
zy4d6y!~Yd7IrES?bmwhagT=L-{jmGBLJ-;^Y}Qh?^0%S<-mR_>%G?GUFUata{A#Do
z?BninbF#i?&NFZPYg>vuGCG27wf2*Ei>p|wxH3v@CStydpmk$D&!%DTZ~y4mImZ@9
zck#Z4ERpDVKzglG@Be|iD6dbjQ*cU;ld&h_%ZUx8#>PhvjqZfX**WYQvB@jkCcU&p
z4|(v+XLo<x<FKc^<4?D|vi144m|L#T`k*I|T=6d+dvfLHTs?R}Zu<;wC??b%yGhFl
z3)34>{I}){d@}E9YcPyC?=%x=s=i*Ww3wHH%8DWJMB)a1xY4nuz?iEq$`=kzqTU&Y
zzOb~UzPzyDQh%1Z`0XhyIRFf8;^Y~V|Kh)ptk3(BJRFw|;|(v2sql955k*QEb7{w8
zdZdjjSyWg{5ISdU1x(Hs89KPz-^j9j^%aDDn%t=a1Z*|zK34R;)*Ss|;7HxFIm5Pl
znwC3jBaf!_KQ2-(PjDn{Vi6$+IQ_~Hpk~-uW>AJs%HticY4RP<V^Y@LUeI$rY|{>#
zPkmdw?n$i}k7QK)WA}mdJ`H<WXt5DrzA+f8$F-Q+B*tlFUjX-bsB$IYg%bpEUcPIz
zCM|w1+YL87NA{{Dq~YTFl77w-w@n9}pHe}jn7w8^^1szKELS%om9ji?F2*q)ph0DA
zyI^v|{h()~%d=3uVcT&;)72k)>hNb-w}Gno$gTt-G$cf!Mu7-Umud(C?k!t+*};LJ
z@MRa?6FhmgKZOi?Os>CO*l>{kzx2qZ4A}BGk!+#DspQr16%qO{UH-$`NZF@I&1rF*
zu)5#?&m*s?(>rK!-E<vMzD&MkdqGftt#p81AocCqT?H32H6~`HdHHS3n%x=h9-GtT
zn<GdaJs@$BhZUT1P_pZSw#B)S?vms6z;&aC=SkUBOKT|Twp474scpL<fPK#P!=H)}
z$z4pet|;@rlo;X$3!w5}LR=o#(%9&Oit@AfzhroschC$kj+MFWXH`{|sTWBT@H2vd
zIAo`5Mgi%$ho6hzhJ;-!k#J*nbMW`Ov$!5*hAEMI^%7$=0~Zd5t<z=X&*Vung_M)n
z=K7o4;p|P%-L_cz-a~;0OT|ng^+qDefSN0TKtApS)FAY_-TJGfLF9rWW)2cE1|2y)
zZVsVq=Vmt~#%+acb1q+fWr_LJ3p?x?L~oTm(sVK)P6&(Tpskmgc{xq(Kj`R<&z*Q0
z9~A@lTqx2sf`BMFhPR8l`$4G*1Lyuu8zwvi8XQ9*GAbVrJwfsO*s}i{{=F}=?Bhff
z0UvT%2wEEIz4uaYkK;4SfEQ$N!ao9@yty-bt*%}fOsc6AB38ZO34~#0vYgLg&iSQ?
zVtMbVaAUbN*Dj*$6&Jg!v&E`!;Oz4$FUAAE6}NM#^nYVVVzs=z_;gRyJp=ncSm!wm
z(ESYnc~DMaXhZ&!fiCfJ5={5nxeIju1tR!WE$}?M%Z2Eq67A?hK6otN_OME8R^2Np
z{-{=*Fxg?JM{ehDoGL<x`p<?f$VB}t+{BwLh=BTf;fDuo2JIM&*$Bb}Ybx$Tg!6Fx
zWTBr<*VI%)IiW1{8J7sR<=bN+k;>+j^@RW-WJ1u|l>av^|9QS#bF5yids+r8jTnm_
zqyP%Qmb!i2bW`1}W{cTWrdYUao#X=J2buJ#1`LUY?MCY?*H7fEO4hWn;aeHo=JO&<
zcGfIYJP}`z!{HdOec8n5Jc%NxnniW(5thj*pK@FinxfR0nGgV7iH~~H1-E7Tql`Qb
znpPegJHx*$3A`~z$^13&M@&0&o$G+5mx_B7EiMlK`=i_!?bzQrZON8EPt3X4q<;?B
zvBs+Yf*m80G{hd{z@e5=sL#N?2H6rU)IT?6`hg%#$yZ!du@?_p0WwL{EnXkkmZ`ix
z&I#@eTq5(ua4RbCzrby~bjAO>C4m_CBKHizirs##?Fccubt8hOCc@^avAH3M7&-An
z`0}gf6P#9{5jzA~mQIFT+YG4G?q&<7gagN8$N&t>!ErT=Y5BJ|h&Z?ejX%5GdRM$F
z8vK!Gu6f~qD0S9fgY)~3xHg|HCnd#`!|-xUa)FcVxSSCKrkmaN@YZuj^p<BnA8+Vc
zxmOx3=P?2N^FiD|qU<Yaaz}ft0ofvQXhtyu@}MGdG!q3xgp;KkEEaj4No#0jRTwUl
zadvfdk=;Tliq|I1hy|?-+D-4OOlz@K(B*mgs^=arrYu2;x9-nE=Nny?v*xRzmL3O%
z4?cy&tm$h)o?!2^DJWzdpzi8+s0vnwtu*`JdTZ*^QDJ+m&DS8ChJG&N)0^|Q4VHj%
zrX#)Ig`uP>RWgO|3h*%?<VFSI-^iZ16ALsJ!*&0cQUYZbPFKso;G5m0oA3WGKI+*C
z)9Cfy?z(;7?GnjPg>sMcfOU8V<S$^M5~KWf@p8N0^EHU35Z&0)bZUPX6C86w0Ke0o
zkyNE&wTsniy6xz5)NGwG(hiBEL?r$m5=m}dAA}fPa%OHnGuxoaT?6|W2!M6|Og+Pn
z6_q)7HSe4_Vc{Icy$&v(0Fs-c<rjx93lMS8$gIq~GMg_pemf%R4|}4D5KcupJ|2c5
z{o_IZFXfNyp$ZCOTQ}#r15T@zveS%xP@=Y7>wCgYj#QlFn;VUfT4Cp%YP!3zkT!XJ
zU=}tdW_I2xigzau5j{fk&oTCm2Jrz&1vPmf@rz?5|3#(r)6`IK5FMnP{<9(H^pWRm
zP5~dV8odaxAFGHXvaqY^9v3e6-Xgm<axzC2XwW(dRlb*kg{;Q9Tv%|+DeoVl2$T@=
zrsZGT0$s6cv}lN)UQJFRd|dVY88VleFqh9`nUxtoe;E_PfI)WjSgm<OMN^q8b@CpM
z8nNcwEt)g9Q<(7Du;=1#T<*&KB|{eeSB;h_X({Tqcd}~Md1p58YG^QNsw$`{BPWfL
znjDqoA~UKYO)H;kHLR92Olc4nVaSwmIO-r`?G7x8#!?Y|UfL^u+6K5jA&_Fj8vA(G
z?fEu*4IZm8Akc6wKEi$`K#&wI%ssEqa)hTn;fq`=0u(+DFB>q>#>+qWk(TH(-~iaL
ztC9ys!rs>aFK?*bCdVF~j`zB2S+uLz=|9}uUV)a{#_b<ldNx)>OZJme`T{PXaFhzY
z^{c~>v=V$C2xr`mWt$GhBNtd?VtcuV0^AxrqmaM|mWB)i(S(6$)qIOx<?aonq6$O*
zfttpV8HGk2Dw1yo`^|qe6I)=fh9ThJhUZs<1y>RqhhIFbP}oT?)`U0-MIqH+RLzgy
zvk>b3oZGwazY)pBLbYc=)HPEdn1*p_-{ems`udv5?af$MnNH(N&N#fcjL3RcO)_~E
zr{YypIfL8bB8hx+(ebX-<x;)p7YVACtg=)>p%tg{Lurt%6IgjL6%~L37}4QLwre(_
zS<%+(B9+FbtNHcFE`WaBvSoBlJ_Kyu^7@S?JC_ad2aktcL_4Di&L^j*Bj3IcUoY=>
zGfxBNEqh1j$3i=RGt;#>35;_;B>}PI!9}u7L@wSDBG0{qOm~TP0)QX-=QSXJA<jf3
z`@dvo(m}*h(=fqMN!Z(7U^oqvY1#oWuKUFk>yzlv-FEpwv}MtHD)4pYCrhp3M^78|
zFP=C)rUP*R4ec{+v5JG{<?y^ih$51~@3@Sh=Ob-KAA-0pvzZG8E=&zquN@7=_!^6E
z;du00mEmos$#qvb%`x5KB6=&31UMNOov1srvG~%vkq6RJP&_ru^gI!TAE}Dn@DU%}
z>N`5#9V>519m1A6$ldg$X?7T-4BV*FE<$I^ltsyrC{r;;D1Oad_Duw@6T+@8qo<*n
z4Ka^9+>vQr(trb(Y+64&(PRurmKXbY$ymOzkK@a4&%MP^XmKH)Igjx+lu6E~u!290
zppVz~ep6CU4@1gaW3*4aH6sB0KL8Cu^1f_*{|E*G5hL!?FK_?nkKT9l(=*1F%RZZv
z(g752zk3L`FP&@ooL3K=K!I%Gd-lR*;M&Cboza9q@-Dis-@11051!tFtENx<!QD5_
z|C;)k6C0UBK>@o@p2y;86Bq`1=PuSa6hvWe)VOc(oo(5F9E+z-)USvb|L%E@y4R3g
z1FuWQ)6*?8AgO+_98Ylgd`rT>3${!_4Ef{bv|NJ}oo~Ln{{#*lI|oseG@ERV&Fz>q
zUf*aYO4?`Ao_Jj1gS@co2s|7?nBmF!%D&@RHf<87Pc%2+sj6jSmPAy}KrnPMKgTzT
zd64l%$fa`HdI!)S2q_G_M&n#bLGGUbd`xu_%WYLQEpgt)-ACfyz5RnhR1_B|%Jy~#
z?&LY{HN*NWUf0M}@$%;Pas9k$%ww%R{djf%3EZ`4w#6%{uWL~)%)-NSs-*+3?mU8y
zj$WmKS9T3il+f1GkJ8ctNP`8V-oPtSaXtZge5BhUhf2~<0F1PO_dx)wqOVr~u)C|6
zakvIvhv7_@$gE)52>ty5X6Gk}A_kL4tYwvS#nZ|A>#!h(y*@9qoFqwxlc{K3-Gm^%
zjVLc2j%GD~=AHc*SCo(9f;=3*)E4*HY&d$Z3!qN{<ZoE#TS2X(q<cO|F8EZvu<spA
zWPg=wLp`_S5SqIp{g9C-c5JYeM2g1dcFW<zR>oqFLt3z08XbQWp7tiXqsK0^BG>Oj
zRdm;yLjU`=V=QiL?!X&|PGQ}h%JA|~P=Kz{i^RT13Gnv2p|CEND9Fp{0ibbVJaD!d
zt=;`-i|WV@Pchs+;T=ETz4B*&_Y8oCk~#nQr8d*PI~lKfJ;SQi#YxO<SQI6IJ<KVK
z>ungBv^^w<_|x_SvXD=Tj-Ec;|Fxf>t-Bv%$Ce_;>%pbYUNkmaGw{mCm-`;7ehz`&
zr{&qxStM)pl_*7D-;ix@ReAY9P#I<3a4ISRE4z31tXS|AfX`Z~`^7i+;n`PqZc`h0
zBVK&^?Y!L8hcTsvhIPMrm>uyKO9mP<PPcaV8G7AXLEhG&U_5^`zmk3l52w)paSgmK
zj$-!vJaefXo!tXidev0RCvM%g4}W{#t;}PZNK9&yluY-aGakG#7f(TmY-Xy*>3wG|
z#SOe$51z#Gxl@rVUtdv5-#>YQTsLzvE=Hrn>_qD*4A_)1ldb`gh>U;z-OG6Lo1d~&
zuUWr;{(|)cp@JX{Ku5iRbrrK|0W~l#FTZ;FZy-^HfmdDMw}18mzWWtr{z9hbuTDcm
zLA!DN=PjGxonBUekKe5?NhN2`sf)PK-W``(QlkI;OA^&x`w;-ATRSim6p))^--Ki}
zcZl_L5GG%wOeT@f4QHP>lEd)e8%0R#N4gyfDA_&2Em#2HkI~l;0oXr+ZE+0O!0Rxk
ziKz&X=VN<Mo;}yf^x!1`_MK_MjB%Poxd4FuCoW)-Nw}Y3lPHC}v)|R2qMQq|fh;Ug
z(eGpb{PdEf^$i8Fso@xkeO_GX>AQvJ_`P5(pM|JLS4ZCfPB*ooxF|1v?BuCS03rP#
zoM1G<?>%z~OBi9FF#;+PcfH8~XP8n&AF3MN<VhgpJDV-CL=ln%Fr=L$$6^Lv$$IwO
z^B39x3%j%)o-@_bvVu_!O`W}%SXPAg-T`<$9&;Tk6XcT@Gb74@bIskwdATKV123hH
z2_%LXlQ@ne5C!({DRx;(DbS}=$i+oPUS19}6BVU2zCi>e3{2^yyu6^(PA9qb%>xPz
zI{@e!7(!`&Zv5|851hbV*F^fRq#o5_KHf3oT$u5EGcTuiJ(DL~q7>VA9F^S<0*>Qw
z=2Ck%fRg?*&A25zA4e~?T51QNOl;!|oe(9AQ-q2hId&e9-T#g6A4Q8Sf+P?Q!|&Bv
zwPSs_oJ2%|<>rB?$_G@kLru+*q<aeE0U_4D2mqoaLZFhiyh*peukj*QT|dvT?!)I3
z3F_qI_;cG20ElcHKmO`Y2%-ePcX-ot`IMxqf5<Qb%xIQEbTl|)<oG;_MYFzXz{Mp=
zWIw=Tr<*Zv`gq0R-)wvrwYO?>m>P8}-7<-Rrj8zkj6g^40CHpoQprrBL3UK0gvyCo
zqI|<m)Y+)H+}n?5-`R)Bm8Cd#u@%?PQmzLJa&ykTda$wTz`08p3JQ4htpiwO<h3t@
zn7Qz4P9T=$fZBQoFl&6J?(tyIjzqN0O+wY0rKe|5(MQIPvOGzB5;Ut+b-8VO^piZV
z`|fY>#J4{K01$OLSM@shbL*c1DhI+peRiv^fmdDC&g19c*D=Bl%AAJOh=z&IBi`Fj
zZrz1d3uj@Lg-v5Q>ZF`{ESfXrvjCnlE62Kh@=J^#TmFlj9N#?vCQ1QUqTv@`s%Zr9
zosn)w1~DE9@8Q2k!qA)bjQZUSr`fpkNZ2UrE1?n5`SWdE_|*#}g*@&603ZNKL_t*V
zy!ht(i9tXVMG#(VDQoTNS1iKS3|Hq#K8&pV;`gz;F(U2x)Ej%yH83=+y5-2HNFgyS
z=I9u@^&}P~iK4A{0RQxZ4S4(u_Z-%9H<K?=)pLw@-a7(-_EAa|3%JXdyA|c$J9dU?
ze2dXPsJt)bWks4K7m)_27n=0L-~Y=S+EnK%jJ{JzC!vGUj<eh_X!X~!bGQBkMNaQv
z(2<#}(R}cOi<j}_>$~x%_YN`>IT)eIS_>c`^N>A%!8l8ES65#HwW#Fz-mx>5+eOs!
z9R&Xr7DVX>zuy8;N9!S0yrZiRC=9s<UKeXnsu}Cmn@B)p6K(Up<7sJ945E6t1_B{8
zUefp635B(bzCXUbABWB*jAs|x<r>zBXH1<CO)tJe&mq<8@tF4Ak&5;Es69u{YQ_pm
z+1}IgW!BltU7F*AgFzf`Y>NNQ5sIFk0RSkm)J_I5y>>~W!i45#5l|YccfWreTlO5o
z`SxyXJ$Mr5+qw{v86JMU^?eKmw2}z@L)!Ox`y%70ojFWXbGzd94h|^|yxrXck@m~p
zBb;>uuOLW($Z5naB|>!#p_Ec+9a*i>H87<3U4{h_l+t1Axr<c7JIBsq<9i29>oQKU
z2G|+k(<AuhGFp*TbEB@_L81OF`wmxvtWSIE@M&y6er}(K^Opbe_1zc<hEY{f`f$7e
zrG}4yd`{kQstM;>I`RA0b~|I?mDM3c_w?0sWhzm$^$p?=n|FdjYebt+UVM-Oza5H3
zf)b7}6Na*gq$jifK{%e^wS&e<jsf70uk6D9)6Iru&Kj(xHQ3x&QqO<FI?2{ve_y)}
zl9;N-2~M7BMn5C@YK*-{&n??|FcQttq9d;-sMep&ZC${I4dP%Rgm?Cy(5+iOr=ftp
zE3C==GK=P-0KW6&ONM1wnB^&o@z{g6?_|Ayy0uf;4#rP2AY1dzoH2f9eqPQc0H7Ql
z^#)!S1>*o50#F3t>j3_1WSiqGu7THKF0}X1_f0%tgJA(1-#?1SpWpiS-~IQq@%IS<
zIEE|as|Sn+OU>fQ?xaF?ey>c}ygv{`XP<)xUbzQvSQ2{r2AECl9SrD**lXU6ch)Cl
zi(I8)mgNym`Ur)>>bLK}X;zB?u(PBOs1}uT=1hKtQGv$$g-CqZ%GVQJP<OMAi8^1f
zQ9^>)1dUS3@?ts=2&2#7`wt5u_ME(kcaEJwr-=rzoL|21HuHV6`PpD79L+3iZzA{G
zZ4G$#-TioO`@#5oO|9MWndP>34l>V+w`)lJn*82U=s#i~G})Mts*s4Z;f7EB>((PD
zn>3TV#I-4Y|I8Z@!XnUC<r;WhEK!h~bIxknE`}HH(F?8UXBh2b{AK4M96Z--xDlyO
zVzJcP-G@yL#|*XiSl;a-mEvLUkt!2U=nM6U97BJ2XKxbiOE718=^_9-Vt+TBxParw
zn|`P+XXO2po8#4d7gW#hQFi_yE4i8KoE^K5<5Ei(0K_`(7TAPR2^X8%vF+^xzl|np
z!qJPZXgJk`pVqz83;^2>G-BiKBTUa=QKE_sv=|pUw8L3fcYpMn%J(1o=U>U%qda)}
zOe@~oekA_)P)Hq36W`5@zsC{S@ZgmI4(0z-_cnh1%64@2#Wa11;ULAUjy=9*2M(Uo
zH(+>p-Y{F;a5wHL1@@n5!dv@Knin?AvPPMkK`{n~g32Ub>DGC1$#(Xs-`KMIsN!$=
zlOQMzyyTs`zWiVM)-Hp^ki4FdD5Bxi#q(EBF7Av;xm`VZ{IS?^2}EJ!JlCe&Y*TDF
zg~Is9$6vtylTEP0!E?=;dI8|@k+bpF7cR!;m)fQKrAr;?>WuWK9LFgJNkSk}kgc)5
zJv`5h7G*(UFT%pZncL9*wEY17^EaFE%Igif7Q$VP7x41i`|E<i&{4fI3K)%i^}q>i
zJ(%eK<X*)LQDP>~yt*5GYHwGD#hd3zD*$wK_I>M}_YO1b8Vp9}P+^HX_gDY^dwlbk
zb<D96NJOH>FDbj?-~6Y(li{V#$mVwAh06f+BNT~s4Fu(R^5{oN!W+9Ij|uCy%R=2A
z`Nq7Qijq9dPX49NUbJ?buQfaR2C?nPDQrlr`9uKVsMoc5xx^TQh;g?Zz+(XZdt{sA
zJnoO(VF<AntWH3m7Q;#-BOwHoAw(KbEntqHQ!c91JKDDGyADmq51%&<1C?YK3Iv1V
zp~GhtnKJ*p{UCOoxPa4_J6Wf*7CZ!qWYIo&IN>=NlI`BHwR~wG2vyws-rfPjw#(W6
z!P#&}w=&|H>a51p>n1{|V8t0!6h%<b@3W5SB}_5;-eaxn>mRZ_S)-89X^_3RwX+xh
z@2SnlT047B?%8X;V;`eIHer=x=tU$uXr_ay{&>N#fVSQNG<Wymx$OsW;9PU(|9i4N
z?nNhv5`MpFd%RK2stLqxU%&r|!bnf4BiWI|D$in$dUB{JdH}?Y3M}H@BK}Lx=tQ_&
z@s#D~Szc|jyvMg5I>}6`661330Ny%s+OUi+gp03a{=EGlT6_8pZA7B{8ahva{B8Lr
zmF1i*jORNT7Jjv4{P?zOrdBK`6#onW|NYd<*uLwitt|C9UXR97PIWXM<!`a>iMk(Z
zYweD;eFK0mh!C`y8fBbm)sD4?j-177TleAgrS@;e-V;O#+mD|`b4PC&P<pJfi0SP0
z4F>V-yZiClffM-P;$=;_n2|*teIm*hw`WwI%Yq=Gts^lm4Fyzo(zxt{{C-)_))SF2
zk}ASsA)+lDt%gu)IQFQM>4im!89fq%BgQiU)*Wu^9YDw=sbGwg%^d&`P4s7MbTRhe
z)jzs*_fdS~=NpvSrjt!4?=mV`IHi0kDB?TgeS-n~;gwyw<rNWZ1Vw_#kW(??53lYz
zElKn(qcTz`6u*$#o@b^bIy4vp1+}H4{nnAwD&uv8zWyOR_4Mob{U6^z|3Jjh$XwSD
zf)gj3@ZOH2@ba8ufkFYw5t<+So98*p8oXyOciEcndOW;o2e5rd#3*>Nshz#p1F*aC
zJRbPehd-8|!{64@+J#qNH{P73D$RxNfxw01O>MgJL{>kNBuY4XN*TDr8m(`dSGE3E
zU#jI^sN4N#^|2iXPvK{;Y)?4h@Igu`#d|xCVPGg>JigqPh&&QhI>!p>4}->E?&-(x
z-fF-%fAV~^tX@g&fuT_N5aGo+04&MwQA+WRA8o)lfANAUYD&x5%Uw8nu{Ev%9b?-O
zwk|y@*pyPOfmrWe96Hy6mhL`KDiK5jdRz})mnh``4gjbC@MQo$8QJEf2G_vrFcEz?
zWruTC9&Q>PR4FAP5apsnk|;O}Ik|!=&AHYNr4cU3^7Jvn0W(oZ5KTQWB`V)Bmjpo&
zF))x=>$Z0HVfV@NQH@i3?UWlmgL3ajhV@zk=_8aVR$l!B0h~E&u2b05*^7qLO@b(j
zXl_Z&O*oMFhx^>Oe;xk<NHoAHhDaqrZ$P3FMQ?Plmm>Ed2$28KwBO)-J!01k1j0Cc
z?5u7%<%NtBF%SSJe*ev@o_qeCpX-G;F{{;)AF%3~YwCGmF!^cj?!#M0PCp+Q2oA)G
z34(|pKJ(hiA3yUt{^z+j(5muA{wN`$LJGqniNT&;<tBjyDHnwB0C4nF6aMGvE%?K>
z2K?#01MxB)y@QGVWqOzE!Rz8U>V-uNqeaEAB)D1nCyYnz&(Y^#NY9g4VGT|EAxRW}
z|HD6F>!Fj1F-UWc4Az77huw$26??s~s^b4H`^5L~!I@^`^y;ka-5xH8gokas*qa8L
zeLzH;+l+YMNT?+4_{o#l@wlO3zu|Nfp4)Lq@m@h;?p{K18{YYG#OUG?Gy?wvv8WbG
zncB{0qLB<2+q==$JAe<G*var>kqYYDR8~^(YrQs$RKlQ4?m=VVjiOi|Qcib(`ty4S
z@ah4j6CeQ&#m<h6fkr>^mhL`qvIM8ESdclPj2P)l%^hft8fMv<->p4s!LWe$Pe&rj
zBuPS^PQHUg#rnT33jLq>p2KJH&aSh{38?GA>tX{!2!+hUe#5Kp8%_lk8<3Pd3b4KN
z4<0(hdK<4EIDrl!{C#o9PgVl-SNqRginc@fz~%6sM7^r8E%ioEtZ$YCT-V*x_tSG1
zS`S3#@b(@BR%ua`07?}S0<3vCA(1iqL}Sw+M^xFCBR&ZU124z1C4nftNB(zv@4!&+
zPyp>whl4(b%npmQ=aidy|M~P5#r&ZyZVdeY?0t859M$#qduDbexyaa-3>e&iKti)@
z3?YR45|fY+mz5m&YzS#2fGZ`vkb*)AAt4DM8G|hwLNi#VNOA>Z%T1DP$-Q^WMRJwZ
zx6Iu0{js~VciQesmVpGl&m((x=FXivvorVJbMAZI6Mr(@-0h@zVbYx^7A~&D(PO8R
zI(HO%j-6~%xQ^@mhU|n6C+DNWaLo=L3hCwu%Ru-cZfb7D{sS=vt3qT%q*T|MWvZ-g
z_-+2%zjC{l`euL34tBY&y0iA7yGx4q<c#rm#$m+Uq3Z(2&om{>HnXqxG(OzCH|fO!
z=2Tljf5;(qPIA@h0O0L(@OA>|jj(g~VgM5Wyzuch=lr45!Q0UwkhKH)$A1<YTDH;A
zj0gk{>%#r=-*d2e&tc47xF#tbA=$yTeA|ATUSMOByLfsc=)s`7;=L8j!;02yeXnfi
zLA<$YBiiCA4mzZDp8L+q_@|52{~hagc~xK519ZHf#LcYOZTO%iR3<tgdt}2}y2L$F
z2o_Up)+soa_>IUS(V(y<&(2<)TWahR6iZAXbOC@uV79GryWQn@I(tzjfe?(=*5ncw
z2$(05!|#6z*^fTE#8yyID2a6m18%LX+JD6L7}L*qj_g?lP(cX1K6@!<&sh#37(!?N
zOU0}3=6kF0*BK>Pwsjv~TfQDIEvqa5%=gym^rIhr76l)=vre30zGq%d56T-~onMZ_
zC+l&dz6mcZE<f=~X(bx{f!KpvSlH>{Z6ijF8g;eL=iBY``GR-caffr(%JzdsjT&`_
z&*yv3=kwM3e7-ZIM~|MJot=Ga;zK_<(Ah;E#NoNG*j<e+hiVK~VS79~?7*&cGCr49
z?6`f|^3BUzC3zgVNwUplVsA3AeBCZ=Kb(A`F&Qg&9K?s4_oDuIqsh9B>C(pI$k?wV
zMWuic;)@8gY>l@2EeU1hgj|3*aflTkly8Nm>n(>3=U@_XvH(0PHClD{2MxGrnO2cs
z8vS1I;9aqfIby|Ct=|nWW&-5+Y(M{YDc)FAvA4+LJhs9g(S)?x%a2VM^Yhp#%?O2b
zlb&yj<-Wyecd<GZg<Si}CVv3C!Vc)CmaN&flL=Gw@~QJvQ@y8vaH7<3b?o>Xl<hi*
z1ywttNkqauHK!b}D-jldupUd6Z8Ben1g7{h5m8j1sxuaRbs><NAYq$7j^ifY!UBT<
zkNN%W)ZpzzJ7By#&(B%r<WMu9X*!;H?fnK2-#cVr?^P6W4qIP~s*U>`du9Ta^k@yf
z0svV9`#iWZk~hK102N*2IlcK!w!RZld6roZ=Ty%9^>-f<99~Oo>-+B{i5E|LO@>K+
zfXJ#L&WfTK<ITSPwT^w+&_R9X%invYciBLMNt>%{uyo5_6qd)AGXui?mNl=%2Nm0K
z(|4XQzRUKS5Mn4?oGiWS>P#13SLe8%D4khC8xm{AgOikj$D=wikHZa6G`sWHdb3rp
zQAWNOM1;cf&8Xaa1kb$ofw^)^tqWIeb<j327phpZ6J=|6*o!%ojW)+<i_1|a2ZwQQ
zI3cUOtq37xb7U;vzRyMw(k)SAR>=n<g_*Drz<-#6@gAT~{O_YD!jeFj0(cO>^f+aI
z3m^#KGao^_&I>vnyd4Z8vQ17*9eCt_CbUw-$+%?AcHH;-nP^Bdp_#1W;B>y4laA7@
zaT+asuA1(e-R4b8*i_b_KI^Mb)t|1~e-!mC{-i^G06;h_<25$<<A&ixBmeaB{5Rz7
zDXFP7a&^`Y-wF~OWCzxmwMn6f)57bqy(YE`WmY7+QW*P*EWtdw8e%Eo(TerEpzC^g
z#gt=i4G}&#$QCIHAUwfkW?RO4*$HV4dx;u*%#4srCSDuZtP9!D+=|BLn0HvZ;5Hg`
z&J)&GC9TZLeO700>=gBJvcHCFH@$D)2Gd(G+x;HF&_kLIf0X?d2@wowI`;0b!Pe?p
z)HS!FsWt39Fgwrf0a_=|G$NY7;*FIyNx8Uqcg<Fmtk_s_-Q^c;QWc&=fH5O$iu4H~
zUF@%qvF2h8=|oZ(K76>x=kxtRQIzcft^{I>Fdc#M<Hvh_KHoe=QHqIZYGY$#Mp|0h
z#Y9xh%&W4qv#00g=6=G)Tj$5em0<5se%;=~SiHX7N!jKC067q5HA^3Ly1uEg{JDod
z-1p}1Z*yyt93n4wNP-!fE>Jwb0*e!bc^b7!FZlNAT5LaZ99>gf;_aEmQWqo2$-qzb
zqy~mwcHzdXftllCRhY{Zuh@uXTg`oVJOk=i&(6h{?)%$=hW<Q>q@J}gH(xvca~EIo
z+35F!C+a{T*JIPWci9U7{($y}g2_1#6im)>wD=oZ{CN81Mf+P^*tN?y?ZN4@O$YPd
z2ph4A<&^y|Omz)I5<)<(*XkIL{&prpcN{r{==5yJz|3F&Y}{9_7G?R*17KBA{Bk`^
zK!ZPMW3g53JBpTI2#eS4#OjTE@O)8BV?LRo(ON=Ih-xeAu&p&1vPq-JEPP!PSiaqv
z&FJ2W7(xLJd-unYat@f&3UH@`w-aqel)=k5DTHXUF<(s)83M1&FAru7=rcQVj9b6#
zxcTc@S3djipN>mtY^h$as}_)*!E3h>n4M`4r{c)Lt=o6lm`6t86!GR{YsK_=K>$oE
zIs_KeC-|!S9q-|N`SlO~?hgc$ve!I{5}YwH=LHswZHJGe*`+@RfY#RF9ksP}*yNDU
zL{aFlN!BOU$<ffuF5IXP&vdG@u2(P9#TU=3!0fk5jn3%tY463Z(ZZfpq{Nzu<Q)Lu
zwFQnjy&}!D{QeESb^<Utc?BX)by95)-pzwAH+ySS%!>z6kP>F!mhC!-#uh*B{mqL~
z{nkb$@ZT_F$F9Ss{4_EgC7+@XI?-s`&ba3?C-z&j=TKw$ZcD0xIFH*iuYZ6&wWmxk
z#*Kse)PV3?`QA7CgU~I%MbIK)x&OGC=`8?#=ER&Q3nt~<H+{lg@w57M;(r-E0IUZv
z0Kks`6vQtM6=6H^zji+J2{SnV`!V<J6^9DnU1i$F4w{_|ZnDRVCI@SXy0z{hpBu2?
z->)uCx<0prPJnq;{O>O>j9*b3+)ZAO>PRVRj%Z9du6(;p*t&O1IU-n~uxvBlsn}vM
z?3|dFil#V>m(~eSD3Z*_>q>@_9PKPj*Ry6zc#?C(BA=nCLSrF}3U!@hH<{TObcJ9L
zagZ3c8C6R#glUT^@W#rG*s(K~&@Vbs2<ZY_4%K4g!DEJ1$5NSizqkDgEzg?cuYB&B
z1^$q(Z`kOp#S}%=hH$ckC7a_XjWM}mJy=#SIr|>SA<+ai%APkiG0z6kG%#hGwnv;D
zvit?Z;U-AW=IJ>4xn_iK+mX}t$es4?QUD09p1Msd&%Xx1UI19WatjVspE#^2%H0II
zdv$qo`6fCM!|2hYuS`!*-wxnDBKq<9I7dxQ&C38r5>ZZZaq$PGrKMV7VPUYOq+~XL
zDa`!f`t|F7dp^$H!3b&&Nz4FuY0Y-&Q8S)zR$9Lg0PK(e>%&TOl;EkejdjM6E@+V=
zS5j1up<f<t-s#hgXi73^s2m0y9gAAJ_HlM35X3K^nS<NM|0AioyQFz-D^%8d=)~IU
z;`Q1>9OT1-p-{}yVY`zy6w>S&Acc30pxA&guW~ye;F`guOV`wsdQVCd<@tZI?jz#&
z-Hx+j!`>tK`h<V}u_mI&7qs}!d$hK?4pN#f&?-4~Q&Y_2v(p2j5L~?~#q%rhZjqym
za%7z~Ha@dp{AXFE!O*R1i1qa?{s12S+w0gXC)$kjY8*Xv_H6*zaKNhX7=HGgo`G-}
zw)y=$aklC7J-;#&;QIDVFEY+ka~j9bHo7LW0RVr%-EnjJOanG;avqz{)Heejn+NK@
z)*$M{$AqY48buwG@uJZHNF)g$9CA{XKzgh?k_3w2arX9Ej1G@vpRt9(yZe~AE48y>
zNvS=4#?fSnr(dq=0_*pilXRPtiqa1NheaV$Zr{4S+O^*3ygfJfHVwMAEL=y&y{7vQ
z)Z+D-+e#O{Ux{W10>;%>_nSh1Avb50In#x6*ihlvv1S=V=GDzDp)W?i?>rdm)7Y~5
z#nPlbnK??;&O=zf%^}$~*^h5+1rza9Q!(aL0FDe^uVRr1^2Fo^<mX|>&Le98;ONoQ
z&k^HGs#pDmaShgPmg4(w3?I77^X4e?5qZ7zvb_0j>4eO`U34+k%-~(S=g2W#7aQZX
zFN*qx7Q9lj8sGcbv}=}E?lQ5{vIb=Sb^q}?)1=M%{scp22d_1fRe`XJ|99fkhI9Z`
z04@XY0{}05yv_M&a6TNo=QT`q#E21nva_>)<Ma8}_<X)*pU-!E^ytyEM~@yo9G`%R
zr7oaYlP8(NyCa>WBB%*U+d@cA)Q6)BOq#w9`0QnU_YckLcNGB4dN0200T3_1v|~Zc
zPe(s{z21mbW(~!1Z_F{54DAF(7b2{Kchr&;OdiCH#4QSIY_XD5Qm(hw8_i;xOtx7j
zq!{N^&@$!8*DzzrTAXceH9eJ@&YA#}&4+4G*W8NzM@||8HHRA<u8$cI6lB1l3%#{^
z6Ludvg|c0TptAroqhf7Lw=p`9N3Xej`@XLl`y#isr6tg&L`c?2fWi);uFRBZ0=1|-
zmi0Usv_JM~9`!81zUX&<tKHx{6iF_4HUZOJW=(lwRHj&8$K-)xNzCC<HN7lvvYysx
zT4@&u8xp3AcJT1FCsCn%Yc)kY?Np|@*^i~An>J0K;H#c7DSM9FYJ4Z$K}2ha=+(x?
z#;bH)FX`y|M~)nM6@YsI)D#yN+g8@n($We5=*;}Yd60!j3Ql^T4yYu-x9Kb}w|onB
zNfH5}knSAs8VB*1N?C(4r+l%0|5gA{tR5=>2Wn1X+M<}#P3Y|Cfs&gfhoOJ>D>pr9
z9BVK->EX=Y-OUN1Tp%aAiGCV%$b~5;h=stSGY!qyw7dFmXBt`ztzM^FmYU|VT}#w`
zP<y8FzTJmvF?UI&vF}7gEAM1|lg&YEHu|J!4+rCK^VUPM<MuI+;?2k!)bl{9?l&wX
zQUX0^Ovzs7c%2B_x>%TJiRY)Ufv^#Zc-ZLx8Cwq3;!INu>YDsDdasxxxw^*8x;Z##
zkZ~<tQ&UWxo~CK0dBUDUCvc!9{+tM;oc)K(0(E0!E6&#2pH(&-ywT_vV>?!E-;b3W
z_u|1PUY1W1{#WYQ<ArFyyJmZF`PS;2tWq5EVAEvNn<fM-jO7%CcKI#Ly2B?<z83v_
z?AU1tQiklUb-qWNw;sfiqwe~a9#wU82D~`86ie6b06b}(4&F|jBMb+h0<c@oVgSJE
z^?Obb=uTq;DFOfr-jSH|4#yR*+m30A$}o6f&pL<QHh5TOS(2&NLnrFMpu3~r?F?R4
z_U=1|O<VTcCcAYB5;|MkF6UIy%ky4k#!u@`1-_!Hic!(biM|h+IXcO9pk~G*47Kv-
z7lCM1TOuyw;q>VSEMK_==;IzGaoM1Yj%(%lM$%3zD_NEGj%8RiZ5942*5(_;m7A{~
z@X&`__M)b)0f$bUtu&QoC9a`ky?jMck0dLp(Krk&tTiZ<>V7Wws2KTP?0DtZU(nKe
zbXoM5`ybUR@>d6gx-kIQwP#~dI@OVUFh|cw3Ctp`ll`HGkH;Q;Rdr|*iND0!?EHH=
zJv9vttx!$x0L{Jin#;}kV|3xTurhB!I5N1^Q-5Mv<xU$rhAbkK_9Sbte79^6+&*ot
zPW-Q+8-TTlNiEDmSb8DR-yc8nmUb{Y)WLhc!&H4f-?u#;Pc1WlS<|$;N=iz)r=_J0
zBBCWkw9M!8y*qyV_zn%dZ97<TVCx#6V~RD@W(M!PsvVf|&T?1{m5R;wRmVqtU)gix
zy?;dhn;*926m5qz05>FHF3y-d##oI!c<iL(B+Ce|G_S>;dg8@m<W7AD3l~>DV{Za<
zZ;EoiQ+-~^=&!Gjv`-*pWugYlp4)1dXmI^`qLdzalkwd7h7Xx2SiI$rgpSDdDym0g
z!OHS&`|;ZH^<gJ6BO(JJ4Ec?)%!CMm6k~utQQw5c8+XAUbk@*~&XA&fCStEK+JCrg
zBerfkh#fnslb2|4f~2G$)1ippkG%N)8syJeYJA_e-@!>q(Dm}E^P*p^G8;q@wsSI&
z?sp)R7X4y0mq~bRlfNik>f|7^o?s*l>dL+u_rkKne9q*W=32+9X{PsqOf`0lme{8i
zilSr{7Z?Ajw6ydb9(;GGsv2blzXXRTp|G$p2%rc6Qc_ZWa6a159z<Rf<9RQblylRJ
zDPzh`ooxKx+yxalA{hhq^-b^DYiKj-0H7%lG&#W;&W4yK&FeiLPeR?HR4I{^E?EK5
z{#TUe<==MO^&h;vtkQn41w!s?BFE=GKHTL!B-T?ie7d0i-~ajzzj<p_)$7)C%kX+)
z4&KvEEz1F5Q>0J4W8%Nwz2{dih%=HCpr~>?9-sCemTul-qwjCtDuqGHQ3>pjOhgLl
zBtTr-|AI3B5KQfAycg3ajEkQN+W`fWvX>T2%o%D;&ccjE*0QDB_Th~c8_?&%^fj`h
zc<+%D*tqksq4hCb(&W6TXLplf7+tgb^NixI#GaP`03ZNKL_t)){NQ&5&~zP7y&;i@
zoq0!fvlp$w=f7hk9=kH?C^B)2&Dq#sx;6(w`0-P(VgHdBIVd_6iY5?>$BK<&?f%2Z
ztlLbp3X3^S00NeTrp(agG4Iyz{dxbgoySZW`({n_Z8~zg9xpAe#OfUf*Ou)%i2cXw
z^r>@}mQ=0Z6Vd#4hS#H-ta@TR^uQlq!i#fD!}l)8qQxJ0)6&dNbfPVYK7fwlaw;jt
zd-8hj_b%4T^OnbsWDg)~qC10O9#axQ_ohf;9QN3?Ap<k!L_a%lK!_PQeWuaYsK%xQ
z1O@5!SzW#zjYiZ7`v9=0$p3fEg4`ATGJ33VtiY{WbK};v$G^L_(k{njbUl5x#cTsh
z-Ao?S?`j;QgsBn2BAFL(Q9}Zo@AQwq|IO9g4<E<e@-5hT__#Sssbs4plOyCC-@G};
zDisukwRb!TFj+#Hh&fF13ECwZgtbp>Y%wM)R>^^ve|VcgfeuQYeXsQHKQa}Rgng&{
z^;L|2;$`fS$zRcVk8FR+{kZfa9X(Tz{6%HR8gQY+2y<rewo18bq6JQ#JZsV!R+O4Q
zLa@nDy?y9ac>rwm?qE;@Gk%5Am;LOJFwrW#VVYAh4iIQK1F^*eORM!XC4OjVC;r#*
z2LPXwzDK1O68-(xqeC6M=QB(-!T^2)z@f&*M&H7P3y%Qc!otGVl9G~{0Hy%Qsi~=P
z)bjc0K#FaJNg&n}M%f_XI#?2YG2;<yZE{#$vp<MwbC#jrGC?S<a?ZXTFBIrsl7zz<
z3w!0{srtCby5Z!>#I~Uj>Se@Y)Z(&j#{j!6=Dc!Gb?+@(k3-cbQFFY`N!(t1bNm-x
zbJz}#8k<)vEe$6xfdUPRlJEkf_kN=sLg|{qnvD+OuG??it(WEBW9%`x>V%dSN!}90
zwq1uOG_(fJ6tCTG)GwF;qM#x%coQK?IEXTi8?;zh(Al$1SXZ?Nx)5*+!FGafS!pMR
zlNaBV+O%rl5frbB`66`7Iz}?jR-Hv(xb{p#^4V9V&)!r!gO@-au!X@JokUn!2$31z
zuq*l-6l7*bwN>Z39W?mlL*!htUUecV6crU6PF$+pAjFbBmd7bq3IIg(oj7Gaaxn7*
z2KF#vM0DGGA5?z0d(Tnqjxgp=HZ;TQRYGn_9A!fxI{DWe97Z0+`x%0M#nCJKjxx8w
zo%s{R75y$us7-Pp7B>5#=HTFsLe@}qV(hf~gH5T5@>J~j$o08o$W~c9gwk9MYx0f&
zKu}W*&)(0Te$!T-DE2<@X+81v=Sx=n>*?u{+%}#r3`<m{KNv#E@{JG>TOy4%2JGe*
zX)d73dhK>gm8EPk3^EL@l(Zx|WTFQE1R3gI6P5+w^?LV;ip*y(xS;Dc>plj+mKa?j
z823M3U`$FZMjf#f-JwUi?sq@j@WGb7VbzKO{recY{4V3fSs)gbV>-86-yLNzMVcB6
zYP{(Es@Q&A{GYjexZL&~)hJ!L8H?XvpD@YNtcP=sL6#3f{I$Y{)&O+fJa%b92swhJ
zHDnJFj-tsQ!1@D6_m%Ii&Rn=*XOCI$tk?$F!(3&ks$zP_2M@}ex_*bWu#h6eEuX#g
z+egpV^$&08AZlPIJ~bdaKf!?J7rjOfz2dt@SsSa<Zj8HyrN@Ic#6LxPd4=Uow$^TS
z3@Xw2rUMJ|Y(fdISnaWhE&5O<KqNY_zOi|Rxk2_$E{VWI8=?|=rjtgij+6A)Lzdsw
z8b&W-ecHC8r>}l#scR642_#LTPd2sG|7S&|v4GCztgE(TgBGGo7t(~&Js~rB8vrmC
z5CmBCTq*3}RXnznk=56deu-f~*rXREwE6?aeOd72<hk-b7O_R#=GFizw;!}Tqf#_z
z1d7DkwJz$}-Wln@g&TI^uAk<kXx(;)s1hI$2tk$Jf$0+_gow-z-pKFa_|&N?tpI>g
zUmBce+ezlTFOS##PV~4+E6-al%JU7ju++YFilPjhb$?Ey(>XiwsX_b<v;V{BFbD5>
z4pSv&j<RBY=fuR)G%f1b{obfiqb_e_{T&8f$M9j-Ty?X&O-PHs3XuS4L08TDrp&m}
zgTWM0k)H>|`qg(Tw%U?qSs{c7Swr?Dxa~Oe+WeR=V!_Hyc&TU=6ylozVBW%Yc=h$R
zGk=o_`5AgyuY-dJUAQ1>HJ?6fPHGwLyIpH?HnPRF+qXL|`AVyb714xM5ELZIsi5fk
z#ZK+tTYCyGEv>|=NS0l>6}I!RVn{UD*ZQS-26+OhsVSy-$nX8_)h)A@tSPEF+h`<j
z5MjnZfXUIp>p0P?k4(Oz5(XEjO~y6KPF4%k!DfKVusVY;8_@eP>s1Ls)8&xnvR#L8
zNFr$0)|^J|@iTaLY1N9#Z3kZmc$UMdW&!}K{8=XY*#;@e+WVV!<78utqap6}epE@v
z`a?zn7`d-gZ5ehcGP^0YOvoczZ&r=4ssm;gvdj?JxBnQHZi%lG3?wjv&6Ao=2k$2o
zW5<r|fv|W#h{#n0kBIgF05cC8J9ey_sP{(>g0gkyq@1f}PRxn1E&V|TfO)GnVbO+N
zC|bJ>L~6)w5o7!In6qcqj{VqEbJ8)}wn9XM2VS&)oaNmkC2=H+qLAZ4mu$Q&soagK
zZHFEXY06zalT1C{Ej4wEb=#YTrE~B8@=Y<lKo^&r4sj)j#{}0*GhM7FCFbDWviAt~
z)!M?}jS45+cw=bR>}7?mQKxgG5JdcxRkcC~u5P`U{|&}36;)(Kw-34`(_oPiD;gqW
z1A}aOxS?Q3d-U&bV0q;(guDU60dVkuo{(x<Ffn^(!NlyenUh9uO;i>DzHrlL{{rNS
z6tCBjuEq{yC|fcYG1DIaKmk4HRZ<MS4m~n{Y5i(f0W^n+9_`V+n-PXt-{jyxA$AYT
zc3+$eGk7BpfY8mk6tp$ZTaqor^z#oKIF3Lt7&q!fiA*>sobV%Ido~}c!O|^zkecE(
zucQkWZCj8he&wM%PfwrVYl$Yen)AN9L&fV5$}2Ob5C{+cmv&1J0+4gXcA^tWfvpZ+
zsVjK-C*L~jO-XT$zL9g8{bxZrwpJfcDC3n>n>ePE$_&$cc~Q@<6T|Jq?*L%?5v#s6
zM{+mVU(9+*2c8*c&ongSF9q{ZeeBHrwa4oYG&v?RYZHTjMm&`Nhua=7)+o)+&S;?|
z>^0kQ@wLbp#NT$RThoO}UdZT2BMW`HCpN!cvSa5_*XT(pfi(b-^q?>^H#GZ=&Yzqz
zQcAE+5rm?U;zY$JvU#<Mh}Gtd82}6^C`1{&N-XK*f>qHqSrnNnD9tsV=Q#dd1pF~$
zP48_Jmo+-(=>0S;tQ*m=l7m;y8zcX;PQR;UYwxW&b>hIWQ+VZVXVQ2`7p5d@06?so
z-dRDgEz%2}_o_nA3a!qo0DzmXyZoR-Lo5#7*fr+n-e#QR<)xK8w|tAdfL}j-g3n!;
zx)Yxk{0!mwW_$nkeDqE37<8C}_k4z_ju<iGQUC)1KnUTO>T==2g#knuREnaEZ%h3h
zinaL%{`SaSyWI<rD43KzD({hz0g%*FRZTaXvHvNp!t7<0W<4F_a2^AKp%Z%S=&34u
zAp@-dP_%qQy{5Cwa5Z<Bx<KCSCAfY-pK$CdvpcIL4%)-p*n8M4kK<%ab67tm^2I(9
z5kchU<|c9yv@rM~FfY>^GZwSNioE{vi<~rimH^?^K!-cwaHTN@uXR!+e+ePvC(DW?
z8e2Fzm_{c?LTBi#u4k}=V?$ahB^d0)((U`P>EJPgJ)0VcIR@p`S$Xo*thC-VziNjo
zGeBlMG12eW&H9a@2huGqB`kQnCa+<~{$ndkD|cd1<&MZbh@J2KB^w|F<IgkZRo*}H
z#_#IoQy-8{@gWIZJ$OLIZvkLPzdpN%49NJGJTE>QWeqqylcyTY#yk^ks@xkRY<klS
zHj|{m3y)3qfTE1<T+>M?GEpa87!wHwJFRwGTIQftY%P(ffKfFim8_r>A3a)HS~8-a
zHBEC3VIU&e!PNb{HY!Q927_R7u%r|(1L1|BJvFD$8VteX@r2w)gpFGd8lRg3AuQUk
z+fjeFS#f#fZ46#oU@JmS{U8vMtfM{`UQqO-k;C$DyrOq~pr@OKC`=v3CB4!evTG^x
zTRlw@&DZ71%b(w?mrX6QZf*{!CJWtWBQu#91+2#mNN)pcWmA85&DH&K%;(DASvYQ7
zuwZh|Kc-Lkma(eU|Ds+yV)Y1J4+ifh&~Q<nVK{J!kwc(=@7QzX(8~3@@sp=#<Hk!a
zG48{0tu{D&)keI$EZ$TCt_)@;h{ymyu~0XYv1em6#qc(m7XiSKK^cESs@DDbff*lM
z)31l|{ur|Ag@w9ao_Dt>%X<z0=9X{4+P&3Sx6QU73n3I&kzV2Az$eg$0O0Ycejs84
z$GHQx`41De9<EIoI({}IP)JNql+0i2TBao!!t!nVQL%n61e+Hdbr!mnwM-rnU+B|l
zWBA=`@dv>~o1BVxJofb{nK2d32(NdG{N_TmV<y;%Pd7+%@RCh~m)XvWln;)6Sg~mj
zmTlc@yrykQ02)myB{W>>fw)Xa2V0Y@-9GfHr2vpMAoDNJFI@dteTz*iJKVpqz0cfv
z;23sCq5~V6TV~xp{vUXINhRK2Q2y#g7xh}Rul6)5c2@(;!;)@%q?yqV&A~<?M|u)q
z)rZyFW3V|~j=9pZsc!;UyrOCs{DBa*AE;df;<2+P=a{q|GJB`zh1;b}1pxBv2BS6P
zwP|`w4KRBVWd<)1m?W)Xd0t^lVyX+<e8LO;sFOs)X9ivJSEuLb+G{D8H89g4yojg<
zuf*V;y=c|t5Ohn{fQ+fO3L@y<HPzJ#*&-$MX|=L#BwIMzy!VRArQP;6%MNT)zwY!X
zNbGYKxD@~n95S2AwGr)KFk3Wu0gy0!8ba`GLkDE8vz|#&=q>94xvkBXd57EDeWO31
z*SO^A=|m?!jp!%`?|BVVO-V@^5dG}+dYwY_qlju1d^b*+^Nub7^Nily(Mk?VVGrL~
zv1;pz!!@T-FlV`S7XUynn_8ro<$uGdO^eHZY6XBlPAh6Yc;eV^;*@hmqA37N)^CCp
zVVfZg0I$t22LrEH*Pgx;a1O1~G-XQMHdriZtE@n{5H*YPsZ;fesb9sm+#nI#3_i2A
z56zErN~h&cTbLMud;qpw(I>+QYgO6PYV#OK8C9eA@Y0KW?!}sCkF#!P@Urv_>1FxG
zyWtOpuwwfG)JL+|9_bfz@MiSxVJzos(&PEX{{34|H8j~AQ)io6wgQ%W8S(l@Cyr?;
zDJ`*Gpr1bdCf4l<&s8E%<sQJCu*kTC7_`BcW$v_v-8mqcsk*{AB9}`Ec8z|OG<bQx
zX>kRRyarb1e0avEcw!D-Cw75t;+upDMx8@qpIC*lXGAn+*b=Z2(^J-Mo%rZMMCsAb
zX=!P$Oh{%ntSw#FyT+^Yh8u49*05p2e(m&k$t9O$q^7#&@@Ny@-?#@%4*IuhfFo^=
zZSuf9?%TzPPW7nrSl!szH{DT3mn;l*0t&5CI0QS31_1n$9$aSc9>(HRNLnEx;BV0+
zn$suTRRi#&M$-k`=0JK`-rKkI>laII0yF{?Z{A_Tg<6w)ygLA5b263?E3s=!4+;SM
znSp(iWu8bkO3_d?y(O$q8C&q2F*&Dr#-!|@LU*TMooZ-CW2@sWZW9=o0RTFC76Sm2
z5guoD@Vc-(vj%4VzpO!h47rf3i!W{tmnW{;e-yiqopP2FU^Ld$HDJx|!w5R)H>$ek
z>fm)%Xi(^<4ElZ-Z&?3X2u>)uV6K-D(sUH9i?1$HIBuLiV{-Q6r%uO);koau#9M`S
zw$#4;HP9^r^+JbcG3Ke@!R!MJ{A$_qO-DEyr9=2fWWOO}CZxoC<dEzT06eOKKroJc
zc`$6*3+@(fL`P+B>cpoAY-aG<W8ji{@dggK$auCDg>Gq2OJ+TsbL@pl-#RGU6;_)f
zMQV=__QiaT*w(_~oqBiK22A<ut0-Q+@y$O?EBdFg<MKK|fWpjJxA!oz2K8}FN|gi%
zs@F1rayL`^n0HyF{*u9sLodHCiPLj^Q!8%0@2~jw@asktOdK=UTH=Mrzn`zCHg(a;
zpDP1^tj}D0f*E%z#5bvWN?Rk=!i#@8Z)S=uE(yt|NKNyu1Y$;j;*j9{g-Lgw@He%t
zvTo13@PhrxtP>DZignxOSATyX>#~drB6q@vrt7Z#WhfSbh>SqM;^2*Wqpum%_sb0Y
zqEU`sk!n4DI_&r)A_Rl_MgZ8jGyW7qk)H9HQ*y!~iRK%zx<O*2*H{vzGJA}L=%JVO
zDUE!z-6PX64)3|VZNdAMqH^0o>^x8d0)8!*Bc|H{*dnqz(TPthI>f<yzQa_75J|O@
z$Oz-SbolV$ADixmGkYj9_myM09R`_w`)W?UTU?I%hM080;iIQqEiYXNF95tY&qPFu
zo+H}ZcWLolU_DpT25UT+*{JUGdQVfvIP;dUu^9+z7&0*PyS~Z)TnaeP;%>a6cg*r}
zk!X;=EdIbWFA7hf6!C(k-L~W=rB&fY<}JIA90tW^bk&Dr(M9t3wrO`*3gGzJMli(&
zE>EP?j7iz^3MS<YzT(o}Mp$c4ob_8nPT=Xn(fb%(1XU?)^s5dG-Z<<hD~#X#<v;z%
zSV6WXSrgXkn1_ve_?agFtCnUQCv0Rj`N)y*Ab+s>ICc%lxZ2Z{k!tu_+7L%7XK;<q
zvz?s(iA>4XfSq`#D#6E035fu}qq^0k0DvY<I-_B?<+~*vLK}fM@su#=F0BITUN>P|
zZsKe`o%mQFB(|F0?@#La)-)~dQ%gkmA{_c>`|I1c?}c5ubZLKsB{a19;c;~EhK)nn
zH1&AY(3!^MNPz%AjNhksNsVfyXuAev^tz46*-J!Z)@mcsnwfdQ3IN!5Jlvls0`EE<
z+8T6zHG)!XJQG(0%bqj(;DSkGo{N6=c*036&%_L)X92Kmkkw}dGV3$^eH~BafFu22
zX7E~{3Wd!c`koY{oHmC08S*5TSka@#bk;#4K|eu`9Zq9<pap<NfFpymEtokeXMDfo
zJ-jbZ85O3e31<ecFcQ8=ay<z$;gsz>h{YRsIfk^hXr6yEbIGC))}y|@1&z(Ecfq6e
zkM2Kp*@cGnDL6TH>+}h}mYI{XUuB>Q0CpazvC7E<z_*M~cF~Er^~=r(D;k^pXlZpO
zk?WS^yqXZgiLEtrQqJG^y(tEY^8D)opkQLoFBK)wvtUwoEaRy>4iapR7y$679@L(y
z$1|_Jk4OLhhP?oJJOI!wMuqNl@OGlDI2Rcz<Kge!JKdQ4hgRoR^y_`WLgzygBUO5-
zbYWKEHL-hP?-dw4696u~u%|5=MF@e@_04#ETG8qcs`kfhyTU@@w(xb%V8!I%)hXrm
zE!D@deA|A^DT_;>G$B3xg2ahdB2Mju?CH{%O?K^&L7DGfKcG)#N^p15&jJxh4|zW;
z1im_B%9t{ts|JNrk(}#a`|^<An~!sLxc>W<4?ftw{}>+2n+s-)12A{%*3IuG#{`dz
z>kc+YJcuNdM{Am8ja^D^o&Vb(ZlS27+h~q-j>s2PQSjSm=Y0EtKfZ*e>teZkoF2N2
z^sbJPooDNtB7_t1J9+!wY9rz3J^;uX)boIV@+GL$AIZX5O2pW9yynceOBSxhy}x-8
zg9m1sNG>xbXD=_9lruQ#b9JH<|KsQo2k-d~Q&m;f5Y^Omy_Z`#W*!v%+^t);bhmQn
z8$DWEZ3C1sKFA&^C&olXj9zwT)gC+JYPjhfcJTh|HJjufD3-jVYq!(&=CHnoOv7M}
z@Os)bD8<05BOliH>e1z>Td8ZWrTE5YTF=O&pnZ*yzsTb81rxJ>;emcp!Nf79iB>SE
zM#J7WM7Nb~+=DScehv>j@$w3ySg6m3%WM(y1OP`*)M4h5wU}GJ6|zKwursrbx&{pz
z6tK1zjWLr|5~>e-9K6Dbd6ZP9^TM%XV;a1YQD{woWS#6NLL6=N2YZFfCOg*(KSk>|
z?!(g3O;}yA9pi}fgulBBGW+yeW3(@Fx188hez$D95u|jrPPS<6^a<nY$(m%1U5xF>
zD!Jl~F?coMa8Km35COVK5bq2$H%AP3f+MprT3e!eI`Q#=h~$_sS86R08D3dMQQ~G<
zVdg(D^Ov3e_UzensHv$b-r=s*I&O5zxY!b5@JfexR8_3naR_Vn9LC~}_DtGV2*qTu
zvsHK3RF+N2!QN2l_&cd7o(2F|xPBL)Qvd4*Wtdhl*Y66iBUhhvmR9X68$;~A4AiSz
zm*Zgk@|}vUcX%{qVAjCQA6v^5jvE&&95*iMeyniZI7{DRV<VfNlZAN!g~aEH=#HpV
zlOi~&#2_Rk3ndXhA*X0bn+4D!Fx_QsucFj;z4Z8o8<II^BFMUUh%$J|%HXA10I<mQ
zBn9E%;eGv)kqt8^kI9a*h~6q(y`<p5yN-b9X#g+Ciwom^o%c15;x*>1i4rn}yeU5f
z@Yo-oe>Y&ApXlZJ?-|!*BS@cn*KL1t8A6x`AR#nsB6bP6a*AI}pD@lmcTi&Q-md-`
zPcam8;y3^vPk2u9%DghHTyIhzdlx`8282_$OHQxOF{=}8g=xI7KF*%_9ya57JKNh|
z0MK*bFnjlc?rAmdhgmAICUZ)YoVbF2Ws)qF21f=CTI&+!Q~#!neRWhDZ_sX#LMg>*
zaVYNYUWx`U?oyyQ!Ci~HyA>~P1&Tu{PN7(Eg1bAx?*6{--v4jT$ss4~ZZ?zm9eL)N
znIz{Ym6OiRcemUPZ)Sfoj2$%(S){tTuzX2ySC$=gEVpr)QN8che}!%*rV$(l{iSGR
zYo)immtwv|jFmn!Lvy_L?za!TL{=s*hnLop2!!l9o8Xv2LA0J=K8`lqRHonkFz?Eu
z*ZGc{ei#3};s}wxW((`dFXH6pf;!gn9}c@&n?IeFg3Lb4wiq(0Hb@>Gikq394LtH!
zd@AN>KiHJD|3bC)RAC=mN|WhGH)0U5P(rKh_SX+`UByNT(d#XSq>e0EcC{dmJ-Ynh
z5oxpE>shUAgj<l-L!GK>IFFc3<WmH&X~cu=6Cw|QFyQ!qcJ^!aR8I4u1RD@WqRYyW
z1|2`YHp1ELo(HAWCzMmbVa@AU4<pHIcsBG{aqIqdHKmYjpNGN98eF9(IL=p^D*c+U
z(s}Ho#cW<9vz9$)=+;t&i4Te{?m8H8kg%gXR+QD09haG-NcPt7%^te)HGNd`p?3Q@
zFI~*P#|_&SgMgAoL?5mQ0l^}%)8>#*zlpKg`7<MoGhBDkbR0L|bsmPQ`gmn=Db5)h
z`k)jf3>=wD3jry`d1{@&%sKAM2{fL7vmV7{*$hgeb!DWKmR{3YuE(XngaNxJj&huS
zN?2a(8sOHbz%3Dxsn(9He?*UjfvF&U((@e!3^$xl+jTSYb2BMAx>1&BvPraiLIATW
z@V&fq+zyu${m@%9pUD<6gWD~D$Go9vhW;M1e4O>MOz_`|MmOcjSBnXB)N@u)afswE
zQOXsLkRoDLBrYGK<Xd#E_A8ExDIzND#Xw{$ha1Vycj#{zwdt6aB30<jhd<QLE%jCB
zlv<0HI6LKf0G(T4_5M%rROJ8+3=Gz+_W_^#&_1c>qnP|f-W<bsGdbf5{+1Qi<Wn(e
zr-UfU^H(o)1H1X)4daq?Z}HJ-2scOg1KZcI<e;;;^!MLQhV|x~u=@T1Q1`FP9Dqvs
zGSnWh^)P2N+1`iijD0x=KC1>fZe`F8>+ujpho~-G9{y|)F-yJq&o_SEla~9}oqU+{
zlZ`JbJD>PURr+r1Kjw?o`jad%(@zX&WDhqVM6k?Uert#Br6<PQ^UWuHQMX1w46H&R
z>K-D_5CpHfoek-}G(E8kNUoh9Hj{Y@CzvFj4Jdf$j1Xtsn;S}U4^FSvi&@C?kPen~
zBI2_LpQst`+g#Cq&PPKxfwqsPXB?PLEeaS%Nn{1bQBQ@xJ?eZDv;9#ZsJs;2AIQ89
zN?u<)3Ik6G29_Cwj|5>S&i_NplzNoPHtL>71R>97vf#cMj710bnEy``=Vr5-wC0a;
z?6X&3!2k-uqk~$a>QvmiYw`MZ`#_4&f3=C2yCw@R`kI=tMfB*es@p23YpVabJ!1EW
zy!%Bh6sF*(&)>31I+gY7n{K_Z=W#gwQH&kcDDFnQ<oZBGn;7!<dfi}e@`T&2=OH=k
zUQs^O0y)@E)}+hOK;QJRh1$|O)jy+P>W<!8yi1Qy^giK5H18}?Aic#o?e9WSeRO$g
zGmYEaW%2NdgA%@)<sW#n?EZT;-RTWa$r$^tt(l_QKf@c6;iBmvr4d(DPita@Ob?%Z
zl0P&E)CwH#cs<IrEy^{;H+P2miID5Zgm~_btyV{)`;u_gcVnmpQR!_88Hz&k-{pOP
zrB0tD6Fx-vno>@)FAAOPT`3bau-(lqEmcf+v@`D`>&*t=zn7s){aj_-?axEwM<D$<
zss3AlvQ#sG5obk3vv(27#<$_BZEpPG#cn7kOnK|vEYG9!z#T?uSa0#rE5qS!<Z=y~
z^Qk!ey|WgpDedywmzuEleiq=zZt9%mLHzxp#`H0+V`uAba&<WN<R)(iqCso)9(fJ~
zO>aT}9#Y~y-Xc$n5d55O19BhimOI72rJ`^lm|sjr^MYZd&fD8_*TVHqs|gZj$c0JR
zPK%b8w`Hzo(w|-NBtiB4*n-7`J;SI*45iI#xk%P+Y$Ii2XlujN1kdX&z^wU|GJQmq
z_PrIUI*|bME&+>w5&E?O_&qAWeKx>6YaQF;anG0+wE1VK@ACwlANfIb5A)>&-JDw^
zsIOBPBd|sWOWnEY^pz5dP%>Pn@rSYy`49~*_|E<x7ogV^6=G|XwS)0W>G=Ey=jNTp
zq`K0^y_ZLhkYS7GQ&{Iv*FLeWrtoXe5FCYs*C2q1plilTXkRdTqwM?bY}M!Vzw!$i
z(EgYRh>h5!qQYo+>_cHJwEnQD2P6Gf2>JVIsbtxh-{&E4A!TR~_LgiyWO4D#j<z)W
zXm-r$ii2~ZE@6k0#3wY}_Oy?xm1o|fU7Ped?N)}bf1<1mOZBc<5;Eev{Fo9e(tX{f
zbk1OXEa*P4#i;=L*tt!K9IOQ<m6w;wM0=qbFy2i4T#Up0qdZ@VF@5iG<gPyB?tCB5
z7c-G@*t&%-6~u>&vxWR7H1{PK^(HgO*5#$>X00`lOE^-U9($FOAI3=Ct}*>X7jIA_
zix1~{C}t2LFmu=J8b%UCp&#GZKFUX$b-7DXo?WSO_)%w^F{mw+8DGZYPl>6V)-iF$
zdDARAtKI_X>(vYS^8+`MmXjCX9HwFp_ph`p%l{R!kXX(9_zY9Ux4;ct0%&a=I-gS>
zH#RnABQcdj5~*d4N-7TGBla-AcD-4bE-)MuQJK5WL?>WV+)EIAQ4JAUbp>;0^X5Mo
z<PX>{30!B{V#iA?)(GMualiJ&My$<jZd_POKTtxGA@DSh42!^^nV2+l`(dX*N&E_D
zHvAGI_ssmtY5oqaj_)N9^Uf9YYn#3^2pfO~)jG)om&rPy>6)m9mET$fQ#J9Gf7k3>
zuD&wxxR=gO_^1|v-~3mC??^oA<>BbNZ4F6AJvt7CHl2S?L72-Q21QI?rnp<Hm47X#
zU=ZgqasMVfTP2@ECXeC`=nbK~)=P|Z9BNf=8_69t$i%J~=gr<%l=w+C_!!FB8&C)p
z)uf)+s<ZFQja;Rfy*~?t&Hp(V=f|@9T9@Mk&-9%+O+(t*f5;euZ-1L;KlLI(8d_k6
z4A*-4pT|E5&za4Fffak%$d#ZEg2sx&PD00p%C1ykSN!0XzCMj=1~xW-vXA6}%s|8P
zrG<qB05Jx7)^!4}7RC(Zq{5VqU0hs#W6M$z%S+AazbNMl@p?bp+(mM3nEv`xv7l!d
zor`K~J12D|<Uv~PH_gC6x{}!p3kiL|tz-+Sv})bceqcw$n48WbKboCqz;Z8z6K)MX
z-a9VP?cr?B$Xi*w7q4r=%ju}8{ldAU9Hu)F#{LtdawJ0TEkl(1aPx7vgM-43fjaM+
zA*e@@1droQjN`f+vwKb+0Bs4ZRy2OeB-4@XP0+K1aHwam0*z9*26FyMpML#$s+xGQ
zRVo@DP=e-!WwJ{nO^?oy?ah!SA>#W@fWJ9-r5)dY4q@o6k+rzO81L7wq1~_liT_Nv
z&~MG-2@udwLOX>a&^Exb%>Oo#nHp)y57msC7%9`|@%G<7KZe>)P7(JMHn7sk8UyaP
zEeh5c4`;2+iuVddvdy<m=y>EfJ+h({1QEn7ER!yE<3|Jv!N#OYqoBwjr6Hy=Ejm7y
zMQGgQq#SbK>1r`KKBVydg`kiogtv~zd;EuY>X0bBkOtqU;V(m&5wvV(_RI#U%AVG7
zgF`#yq3MqW&BU)cFVdF`)9E$Z7L6mY+VF;$?id#CWq#lIXM!KAIv7jN!QS^XcAX;Z
zM5qu0EH#;Y*JSST3ODvXCZbm$Jzamc9(F_%3Ala@h6$Cf)_!9!+j4qZVHau3IzY(2
zPym1Ksz43aowNr6CK=3Cgnx5<kc9w-)pM?^Vv*C_1Wx})&)SLI>@o&<P8=nBU|_wR
zf<k*nL{z4irn~#im7MFBc3@aVo~ouBK_EK<p|IV2-4(!NU5zSyjEFcn_Y?{D6En`X
zP!l56Y8C4DAD%N(=tUm(BolFo%pZOp<W~%l1srAPxX22Jcg<;?zR*A84vtI&rn+6<
z`OP~}R0u8wHQ?`Flb}5+9fr;`YcDTh6ZORc1KNrSm>`51>kg03xVRXOIy@%~48tU0
z`6Q0(YM|7&%e6mD7m!gLpT3WgIlmAcEpF#G(!qa^ZwNRm?;@CHe@nXQ;{b(>TtaQO
z@8b)2w4>{6^GQYO%53qeK^k*8z0?6dWbC5urvWjsQ>it}PCe@kEn2^Jn86W5$&Cbn
zZ_@SGD~RBie~<LT_sd;1{d=3iH&XOKfl031d$QjEp`_FDDniS$kYm<rUayct6V(w6
z9;PmmiG{}(GQ@LTYUNL)>#D1}fO>#xA2I5XUxe$$1oZL>3V1a<T3T9d*3cY0ys!w*
z=>o?W%{D)Ap57KR0spUqm(e31q*(q$;7^g+2?TRhV#nf*LEaM2mtps?SHA+1kCG3(
z9mKCe_`2I{EP&_Hcg%6GV(8fF;*%LtWUAwLhpa~Rc6A5(9cAC^TtJ}g-I`*%4@?aE
z_0RNXLWj{SG>_S}XuRuaE^m6F9-OR!KFxS8HDsjPH#-#4erZe`ggswDa;HfRb4X7w
zlojb)V5MdAPadP8ncZ$+kBYw8UIn)0FLao{?vb7-brt!w0d=<AE!%y4aN>s(xL%iz
z!TW{DbOTnk`fHHTV3tF8H92V`Qj|Z0p!Zj%L^j$Hi|Z+mpmt8c1yQo|s_)*v@`c31
z*q_WdLy4#;rx}r6RxjwcA1>lVII4#j<}&;dkOoG)Vzg{6&a!wtDL|?wKe0b5sLr+P
zq^S)>PLBNmt)m0QiR^U$UZcc2w~2v%x$SBCEZ=ZW?!U(Q&8pb$Qh14mfFs&BhDG&=
zDT+A?;RY5w1Sr19O>AKId#mIc`XL-!O@&EvPI0(OuC6|$NbtuT_9Xu6lfNP2K<9jk
z!k`REt@aVvVilR-qJO|PI575e595($FTsa9a){Xu%TgESK$>Xy`Ct9oXn$4*jHwyV
zZ43@#Jl1Tl4x1`tEZPLCJ5Lj{Gc})UWWrjW7I^n}bf;8(oX#&cK}%vtDdt)vWs<qg
zoX*JW`zO|hCrBn&`_<JFz5t=LhS(A38Agyi`c#;%k{hw!iUllWB$H9$U6G5*-q8E*
zM@GqZ_Tf<u3H_&KuES>C+g%<+or+a13xfu`4%75oo9|LtM!6gXz_=$15Ot)Ll#^3E
z=?eGK?&bBDopK<u5q}%<FxzYbQ2SdzccQ<Wd-<cHqxFF&&V84~)=*+gd4(R5$pAp2
zNgK}>4|owYR`sEzoqaW#1`u7lQx=$?_DY_({J^As$}R=31^WiRXuXpTn$h&kh}HdK
zlT?|{wB+*1X4`8Nr)d=BWtrK<7M*-d3}j-(<;H!cfan04mUOWA#u<sCO_cz|x77c5
z)bJHv2jMoXI4o7~C4}ZZfsTebmevA~^OC02I2d>7KzHjd=x{0MwO!Vjp<ZwU<=PJp
zm%OwZJscxYEXA?ZqkW*aAghBp#z@A#dxm&IPb}qZnq28#krZ^>PZ3P6i2j>K2uTV+
z&S@qo->%-S`qYwtqy|a-)*vgWI7kJJGb*}0Ki+H7($d1%85#H0)zm%#uhY|0Qbg1=
zG+Z+>AEXZgSU-zW5D|X#dRC@P5q9l;5zJnX=loR_nFj)y3wTOaUNQmojic-**{w@P
zY%wQ>>P2l)%&#u30<|fN7k&#JvWcH81~aQFhEXDgZTgI^o^_Pz&&>#WyJX>P)JWD3
zx-yJ>0tvX6_BJz9%J<=Qgmkc@roA3Dmp_?$PPAFMZ1VP6WzkT=VodT^uM>fpm>K<R
zQn*G>J`w5t(~ZJGW_y8a#Dd=Sd(|9mmPk47H|BIO@<yX=7q`IZ&wn@xA_Bpv7Af)m
zcSMhO6pa|D_O~_V7@+S=^>0tSb)Oa5Dlln&n~^Oze9W2#r}yZ^(DtwqIUyWwDb>tm
znX?YORh9cQ^+xtexV?BuIuuCc0i8VIY4ere%PgMr$=}}ew(VkZOSRJ~xUPwTE;Yj{
zgMZ;sV8{S95A{HGb5?Gyq1Pap$Gld2R8&+mk|%0U;L*|1I`j#cy9JZ<Tt9&T0<Vdg
zj7Ku+53--0|6+EAE1P7E+ng(~6mk6!|HWt<)9fWCa$#a3Bj<8=9%0xz11azWs$fZk
zvVjk$)`=OJj=1g<_nbM#(Pi=tU6396j&B_%guQ$O-Af&AjxjcN|2vfkjFGVayv71@
z$>8{1t!NWP5A}zfB{NI{d$sL1@vNCd?^X`Q7^A`UR;%8UM5o~=)xhYEqnKgAes210
z16~*TaihbogFbqv4Jp5+9U7e7nwVevqY;u9cjGYuKlgo|zN1QZBYCoAoGNJWA+$H(
zy^kRkykG*|BK}}xV>7Z_$xlnu3am5e!&BZ=rotu~#{X}@)#IQ5qu^B0*FF{>@h|EH
zpi-w{XWX59wB0M09)+%OxTq=rHbB9bCCrv^;*RJKrs7fOsTf;J#jER={De|3`5bG`
zX>Kym43v5LHKJH_*e?-L=7oI0?Y4IYT0zfS8Ub$3bMV70pL8J_eIyE1pj_S@O-E@8
zvIU$B=4b(soT@x6a6jqE`R*qs(u=CXOIlE>nhC!#uHeO?9zzA<k)#WR33W~px+rQ5
zpn+nLuNXr=w*?(*(@|@gV9o7aV*c2B>zi(%>7!I(OgeoxLI<?+2|O+zpys=GoU`=*
z+D~a3#neoSn2_>u4;I(FK8?uVh?{LS0foO!5KN%>u!lOj*Qy$(`Y?+EoszvOJykAW
z<F57NfbQlydkOehK`=ZgaI~|Qh)+?rNdm>da*;7)m;;|2UQrPZ`L>_hJ(dxkUDJNF
zOHgiDYIZsOSFyV_oUpHfZQ^H%8pU$=ZJL)RYAs{=GSGRBzk6@$3;))eHA<=e=*6k%
z>;}6ick>U<fyyIVp|5(HHO)~#pZTuKi<#A}-~EnkjUv4*Bir07e9D>4=D2}UPBXGz
znd>jH;D;`MYi<j7odd_LW)oG{)3ZDwx-6K{V~~yAiH}xTRyrM~94^w-;;@gg==~``
z_L7VLD&E5N`}HGJa2G0QB}+f|P<yD@>unsGS||@!2FoOktuBG_a>xC@;d9vuzBf|y
zoukc1HOqciG|K$)c;$6Y<e5iFm4UpV2v57Rh7La=4mdS|?QsZ3MTI{>Pt(}j+Bsp&
z9&{*IR_V&&x#te|We2d&aQK%U`zofU)M!OT{qVUbkk4#@BIHxCivjw;A}L8d6@*Dd
zT{(w=6iy2)Wj~J}1O=TEv`tRe<H3odDIF~Fw$uWy<Z?t)HmV|=GnZI~1b3rj8x8a)
z-9<{{PXRBk2F!u&o2i0sP>RcjmV^9{DD2fBPa1?uqB|DsxL;Nf`?iXd%1@{t4{_hS
z+pBGG4nF-eM=vD&HZ7sC`*5-L1;pNR=$l4AH_7`Kh}d~53^lfv;AQSbHgHBV!f1Vp
zr>cWLvU^hP1r;_aWcRqFJ6ga9M2Y+fZREA_l#~<-(4B{{%DdBWGtdWl_^=rJ2RVa<
z+55qt5n?t;j-6ub7@`Fzo!S(Yww^>imG;)^5u)W4A~B9Js_aRrR&qR+%KHNm%*@Nm
zJk1<xYS>ZxGcCithbWo^#QIy@-nR!`Mp($tDvPe;%D<ME4T6>p!bOKk2%tVMziIN#
z)N-!|v@Q*Ld&BSG-+1p9ckR7+$I%LAz21Ss+^#B)uF%Yyf3%3Ca7Zw7Q`@QzbYdwo
z!`<}{EN7c)1$G*qauU)uB3UEw21f;9k;<;0K80f(NL?vzZDOtUa1)CAcMyDR@6%{(
zY?QqRIzcGADO|%;q%<#gCu(hMpLQ|M?TDbqcz6xMq2_$$?>fC*t#P*1^Q9Kh={I<(
zwZ904buhwsd4ZX4Mpa|N<>^X(??A*^`sb;P0Y2w0`G?c5L6Ruu9jUw=eV^G7K{8k*
zKdHA&wKL=9!G_-ZA-3gl%%1f{KR<>Gcv>o5r3Rm2NYB=Y%(bE19(HC(%(-DerDNPi
zc@2!{3r!gY53@M{Jrn}a5Sqj3rF-5Fen5kZg!4iTaQ603)@DOEn#wd?9O0m03yxXw
ztan<_c~6z9tT=AESWc}!hu+stre}JJ7G9d(#~NnNG{t8py+{vZ3`|Q`rbiu26r$=_
z0YhHjltX?2C0xEdguFI0WMcX3dqC$5pbZ1%3?m~Wec=)yDZ@T0UL_wqpfYzU!m36+
zGZdWw1(@o0gYmU1JTpKO$eU&4<@uwSx(}QIMFJGQq{Fkg5)7EQ7^|fm!E?*3CIcxD
zdtd(%0X$|y`ttzCkJ+D^h9#2IRtOI8U-7%`C$&wr8A26#>d__uess754f(<%aw;6X
zw?&lG-ht)w+_qc304lrB6AbB6(mRS*KSSMglHD|OcH(5})%6?+*G8O&Q^Aj8ilQVw
zHm@`z&g)8VF96Q>JHEX5a%X^Y0=eBM^QD)HD$RvF=~u5*?J5fdgM8^PT1Avw)j%H#
zPyaA(hA~WTXZM9;wOH2yEX6`B?Dr1p_$9?;*B*qpLZ3D%j=YaB{2ubgh%>w%mNkX#
zHl?YGQ74X&9N&j{fI#G#wE0^PUm@9ySV-P&V@<g>Ht0uhSL47xYCP>X8!DI(G?dbH
zF!NKoKDmwmvynLNS9%|bBFuLp5|aNkt^0ljCD9l0{xah7mgM!yK3v{SvvXS{m(#s#
zi^o$N1maAkWtxvveq=8yBJ5ybVp=@8ykA9dv;@M-vyF`}$u-(Q5cMA{R8?_+OLc*Y
z7zAN4>X`rYHY!2K$HLMQ3$T{Wp~t|KmuJ$CZ*cr7i)zZLv0M0Yi<g#XrJ`mTkKR4E
zQqo=%Am->8vti!k3i$Z(7x2QIE_YdOVY<O{AI+wcu|cL!&9Yei^vpQSv&vn1y+^2b
z@txD{aR}H7dVj7A86NQpY;IKFdEst%O9{)OSs=Z_a}kp>VB(}253{d7P1`qJZ;GjH
z?tUgxZ<s^q309AWB)zVu``b)jU0pL?l0dWd7DN;jczH_Zgv>q7E%k`3Lqo=gKhR24
z&{koLU_t@ni2S+tiygmtG*rq&FE{;Tly{oNO^40bdz?FE6s1=h(_g|=MNkfnum^L8
zIX#3t#nCdv1D?O+AO+JVS%|EEQjr?1rMb9`MCK&_8b!;YfxPe#%56xr@^~h@AWn+8
znfed;yD-QT?4fwlOXY>i&KQLf%}r#%p7Whu(My@ZJQ^RZdc3w{TbT9*actb8|8IF!
zL_Dk)-TAm^F}TW~NESqj;QVeGm&jH;2>mrT1)&E@kH*I-nHDK~jx#gFJj%06ux1<G
zL}@yJ`5ddr?B)>gqoBNmWSl_Nv+XHwL8=^#mUcc97@&d#%u2j(WUjQrq_%lW(d=SZ
z@AJ`J+VD^Y;>eczPH%5PAS&n7O{zlCvA18z`P`3mnpmSl0H^N|s1#fQy_uSxj&^o-
zCI=Ra5F&_LHm*ZWbCw?==gUsLw6t{i#C6s<+MmLeF_ABca_Q>VZ<LLA7-E=fJGgqr
zh$ce}SUNqS$aW4Ub(BUEZyZ)v*!vX4D#lH&1h6WUfbx;aZ>psBnkXmqCN^?&$;v&Y
zOh+`mkluT0FYK93v{42TgT0aTMwA=9+#gjKZxY)xleR3-*bAN{sK}5CGlX7Kqi*4f
zE}HIcTGkybV5Yuv75-cZ3+fDlFc!?<SZ56;#!N;k`|ABO#WY%5{;iRW799KC6Nsg{
zUZKCYLk#?Hr59HmKr*~YaSSi(RWue6`%TsQ>|EYR>!{D=9qylW>~qI~w=+`i$S1E%
z!fR0u-g#Z7=$DGngnVH^-ur94;$;1iIfIAp%<;PXu$L3H)+q5-C~%I9IT??~E_f$R
z@dOX4R2$S~zgx3clr{R%X<5?z7p-pcXCQvU0`<hS%k@g98@gv!22=hxq(iMOwPu?Q
zr+3gr@_F$(T*reL@UMN+SHq<0wWl2WjN4ecy3#J9Ikzl?RatsG=s`6c`cB@=u^CZ>
zrX%Ily~@i?48{K1r6f<k^f6eX8)RaZGLgZvV+cCci$}K>lJ)CVeElbT1UF&uBOj-K
z{u-|EWMn+DP-QJ+F$tzofxy-ADhi6)2UnTz`g*s_H)T3xUo3H)&QO|o2KfWQ*dIUl
zaXt&PkrH-*enyqYw~-YlC_|AoYVLGsiT8{GyGzO}*aXC{!%JeHvwNbv?r^v7CpHw4
zje0Ar!JIXV7{6~Lyf~Qh1n0+z$*mo32y%pG1=zWZ9)y)&N!`y_f<!id){350*dT$Z
zshIF%1nqQs|3<BS4n{Q}Gi<z7^eEdD#;yXYv|REgfJzeu1qB(N^`E8I*ACkeKa{hM
z-B8!`plHC-bph6Pd(Y{u3f?D;2j9{h3$Luwr!N3YoI?0AUk9vp-Lq~Yom0!ALnAFV
z(!2hNW==;swi+!m!P}Qq_r1n+oD*s}y#Q4l7s*%Uk<3>+>ExaTI%BLbM9qS9yjj_t
z50pATHBfD#Oy5ad-y8p9&Qll~AzkiPVTm*p;V}B}>Ir=?F7~hZ@+|iHx$BSit;bJM
zsx!<N(X;yGLgRpACq1Q!*!^LRxu5}^pPudMoU-A^(Gl|=kZ6|P`$ujI+-T79@-jq2
zODhiXtg@n_B6NR$Unmd@8&lm7AwAD{`X|3A`2;cup^RhRv@eWx9!Ne{e~R$Y(Da)I
zhB~5r&y0}Iy#EW#PkHu*U+wQojO{%J=}eN*@!EeO;dE&yTST_ATqD+;<{Mxa-19A-
zH~%a)o1^3lIOkS_|0HN&e++`+CN60=b1VUl3;fyTb{e9oRkcF&F5dF1@}luNO2M8~
z+MwmocSTuA4H;vlO_cpQIDF!l9FL<$Z7h!Ils`Tp=h4Aj^)R_yk=ZM(Z97TCX7k!M
zp}B3(YTpBPKoD<)JrfN!K((^8I0YP@5lB>+hvsKJW3<^ew(VH%=}UJsA<k|a>d2a$
zhgGk;2cK&c+5&6+Uoe*%M|+l#e+d}}z0OXvV(-xo!p;Zx8d&0y*rQfeRScGOhNnT-
zWb^Q)!i@6xNqUYhy)l)pq@ym-Oc?1=o%Qk!c>gA%ttS2(y_jIUuQAFK$D=0qKkkGD
z+)}$lcxm=y4fj@}o4zHMgj?3Us(TM&x}ixiIQm2XS}KM7DJLy$N50PFD>XQy=Fo6b
z2K5wZCL#-edR_pz@3lQIIIOfC3wvGAT<=Y85`WDDJpF+<a#116)ebLPyjfn?y?^Y?
zQ5Se+eypslb2(yu#PrI4G^1Qz1us$fnWQc`2X=74j68c-7KJR#cJ_GKXUk#j9m;D%
z(qN4l8Lg_8NE}t{w{#qlk%ZGxs_Ju~KwP?)8BOTXJ{PM!wenu2N*V&0^bZjTQeX($
z?cz5er=1J};UzPlYQETp>2R1aJ_X#Ih>FEkc0JtPj-ALikO_7z5i>S#E`!8dg;=+z
zX1oFk6;|DFRppS@ZvrKMNm?tQvoc*3{3~Pq>GbArY>FfLH*5v>n7+UNu<;^tu^k-<
z>FcXgNeA8S%yiRp1t%!<1fx2bk1gCSJ)XR}jl8{}+%7vF?lSPdIhlfkd$?c{+F{#;
zrK<7qLh_l5mZ~QL@Jo_cFhWj`#qFnsxB~@_RWj9N#BN&6J===pPLyo6+vh8l*|S)e
zUS#ghx3$h&S9&e<jXYGHCy&yNCu}^;Llj?)Gb&)ho6Fn;<|53OF@^?~u2Jcx8oO$v
zWz24emZwDmAD4J9@UM%c)6HW#U91O_6Ni16#uff>dc_#Nd|S1eQ6y<xO|)20vl5`r
zh!Zu884>rJ7hrGQeu_NCt4@C5yAXe98KB5HnsY1cN{Lqc^HEyB>)6=yAW^sd=5Vh^
zF8kZ5xz$>=xD{{4Q_#m+Q}|#JQn)w`*ljW>rkfu+!cce^Q)XNGmi+NH@{15;GAEpT
z!R@<b9QjZYQ}V&HHN2|??*#OT_O|ln2wgZNd0>F#!eQAhMpWYnZN!|Fj#~tV>D*ms
zbJqo-N=$SK4+;v(arR<LHHPIyN^Q777cr9H#KgpG`$tElO9_udBdN^naWX{@F`QUc
zMxF2uw?pU?oxX0;mVk0}@hJD-Y$3ObI5OchYpt3n!TijtIcBw8-IA#GWilUfA=+Iw
zVj~@T&HMt&HkWeI)qdrKsTCHC-O2X6#9ST~Z%O|HPs!FvcU{(|24la;PhC;|I<z8C
zbDtBc_kZgLd12gd?)@tR%*Vy0iEm#98u!KW6;}P!TV=#9%gzkmCS)^t?|v6rxyie$
zZ5)p&?l>2ml}|Ky_BH%zbyLLDQ17&_#!bWcz<T=t@dYwkVhX=gy3_*>twMbbNwPOA
zk1;>6(|YpSGQ9JlJHUs%?-p4?bHNO*DiLYqPC6E0=!5fxdmIkj$enK=)_UqqO()j^
zf|w-YuhvbTa+_0X{)IpMg4|D0LBW$K(haetNaWnzZfE`QI-NM#dqQcYXhp8FclaOd
zCPk*Q_ozFqrF(NKX!EK3t7$CfzW<jOuZD~%2=Zf}`RKbbe$B)IWpcXOGVIEg*63Z4
zo1vN~il(l={%jeciBAow_YcSIgE^%Zp0V?nJ8$Jh`t@03ye6lUuJKqrI#?&2a-Qu*
zE%avfgoTC{VX?N$sWia6v~x!h@)rVdz~RHQebTd4A!0g<uJdkDyja$`eas-a&(Sn=
zv3s1livZPDV~iunf@o%Rk${-Z<s^7c=GY3$IWK?zJQ@?0h2=Y>Lt@8#TIF9PA?soH
z%Q(ROTrg>pzJb-oyf$U5tRv;wy5UPKq+>E2*>B?BiiYp;iuJT>!=vq4`qkGJih;#|
z#(|EF`sp3fTpx>(A>!ofr@8=+L4uG&GZ~@*752(wGRZui{iSTpjXUysXr_&42*D88
zUVH(!28^o7X;c~p=3W%hqNGj?>(dclwEuHTXW;lJx~q}|=?w4xaRK0MR?oSIDjVOX
zcdiWTtj2fK#<Oq3httO;iXIACEX-wu*I9pYKQ6)Mpt}M$A`k&S_WbLEn`Tl-Nld^R
z>|x+W_=c)A=i3Van#9hQ7>yWbsJxYEzlQ&zW%Z%387}#(rzY{_>Me8MU6FlZ#4kh?
znf2GJ77L$o`+iUu<tkSPd=ZoR<1`6Z&@_R!h=1gueKm0*cRTJ?X2zV(!cy7WK?ii<
zBxhmB`Vo6hx952LrQzvvsLQj&fS|`=+zQ3xq)NkWag%E~(M9a@yv&iH^sA_bi2g6A
z1B#Y@>CCC}e+e6x6AeaHXmFL1cI1*yAG(K{b2tYlB-r8xH`VExfXH}y2{6{Gr4#^b
zR|M7;fRn8btI<`;>MJa7E7T7i5Q|ycohKE&L0g5#%=sh*ykNYn+v`5WDqg<f^NmU@
zwvQJrDjKgZ-(}CaT(FB?^?llgwco>M36^hyW`~EPs-wLJYu_nKt^T#G@x2IfIYL`y
z6Na2GcMAke=4j{rBXA0J%sGk=f4)nPKd3MBK0WvIu@*FA;spvs5;PdNn_t*$=^sg6
zt-TWI)u&Pq#~c^nv0wai>MHf6Yhc@#S{UwN$AJ;KF8IM(tAH6xoPQT)=7K3A&JqCZ
zk}N0VjYA`!b=eXV<6Dg7<zsg{m_C0ufBpFi|B9Qki}MZ|Qu_90=^<PG8E?BHTi5(s
zcAp1v3K8F{`LR4d)M&AD`KK?(J0kDdXZHx3i!?0ClsNh3eBgt*0XyF;tDDA)9&VJ-
zkG>+Peve3B|8zKSr!sOJR5+u`<3fO;n;*<bar)c@OTAjD+w6(ZuTgo_QCp48p>MqU
z3x&zU?YG{YzQkVzd>ykTV9U9z<O&O;TK2nL3Ew!s!vV)a7ekY{@>-;+5*w?UxCTU)
zGY4&<0~tg`7&Vhtu7&hF@wa}t@+GC<kzL019zxyjh+FvR4f3g#dNMz23(9Il(;&pH
zwBwVIDoNutV&}!r>8Jx?GZq*aV<f-05>fp2T!lH7J$d9N<j3y4_a*FcZmyHn%MhlK
z_x$WX+j(|l^(TXZ;PS4cI0@6-miNYrOI_Yq7j@=s-WqFS<G7IR*_XN8JM&@B%xAT~
ziZA*X60-8v^NTMQF*OXXPtojreY@;=exv=-yEi~{MnWHmw~czi5}HyN<|)L;WjmRS
zEIqBW+YIb|7irihe0!AbSzwSKRxR`D?Vl}aJBi?9LNmL`*!B{#8Bo)4C{7yn6TJ~I
z!&1&md5bm=qRi}yq)Ze)frKhUZr3=ls$FA`SdeK_?4f~S8*`sVqibuN=SFGEo=5|`
zz4ZRgjT=eY?SJMceu(#bAY)VIwQSMkR184^l5H*(u{b?Nuo=TPf!_%+$z?<Xq-=X$
zx(~hjb1UB)Z7S-{e&VNNr8z^l$FCB9%v)uuHx7|u;1vez=qf+;fmc<T9mb-NI;wnS
zF^5B?a2msPft`0jsrxDP^n#cwXNawZLHtsZnZ^s5l;GwO5>Iv`k(S$zP?tC4AU1-s
zD=b4cTO+4SAKc!qRSoi2`N&>;7Xh@#sr3+Mh)8H2O?C@-F)>Q2TW20_Vd6p(F-+pW
zu6*5_IXJ?X1^0wnfpwN-W`+F`lA@rNT>{Vd-QoqP4)ff)5^j@YDh_w!TS(2w+Yh&5
zcSngugL;rww)0MBdpuB-X$+Alg?Bbr4Czl`bY?~|^Yo}cZGOXq@M%Y9Ql3h!k5luu
zFRYtJ^xo6M!-GNPR6Z$(YGAT1xz@-0dCh28gl_-v6@>1+u>Z60--+`_QTV5#6MTr?
zecQ@qIFg_0*3O}Jz!UVg>X{zQ)#aDU2|rVs>u<3zYP&KkOd0bt7TN>!i2Nx5zrXON
z@1XK(Py6<$Xaiiu_Sh#FlbvBTt;qxH<uR<vutfv^@^>FU<6yf|Qq?SdANuPbn68u9
zrE+8G0l)ut6(uQi%Cvuq_)+1zUZhQye1)!QN6Z?#wAyY{R{RQqKzN@_hq~;$c4r4G
zzpv($cH>yymDB?Jps?Vp<)D*}113mAZ|S$M)z6EBeyei)scwBgXc@trVB$F5lpk2D
z7oxpOFVpO7zb?xf;PbQFi!>no{{|1o4{V;d(->yT(WH5}xjmU5J$7|<+0shW_|*Wj
z;zGn+^z`)!q^J@ph|N$?P*K^Jfccr{{(izjLXVyz&z#^EIrt#2E!20jG~2=ZbG#Z5
ziZAeh0}`L_3IZ$B3Cz&_y+1l%k?A(ckHEjn?rLg#HMm=Is-(vqtMKniK#Mo&)B5^d
zCrvIzP**QP&Aj^`V6+RJuOQsf*)Wg$r=*h!K3KG8ew=6GoE($qzfO4z7q4&HNw?8W
zr_63F66c*MpB*Mz6u&F(`rP_imzBju%zW<T$HAtf-nRqSrn{CGi>LAEQ&Z14q+dzK
z#spt^>L8#*qO5XYlvPo&Kez7*?6`H+s(88I(bzUig$kTYO=a;9?Nu8+CEEC^3Gr)A
zZ3n$XH@#GCQ*?o|yYGDG>otg`p-}hCO@TREntC7TqEg&u)$zf>8*|lxRA%k**#0l4
z4NxPt{QxjLxanpv>Dl%Pel4!K?Mm+cShJC{i}}v8(C)d`eB$N8M~l{&=iANs!o7!=
zT8R9;5yA({a*cy5E1tGqy>_ugxvGx6!swHw4zI@P`T6;;)t#DCWB_rOC|@gDiVBkW
zb4IUHhs8a$m_0rhwzA@<FG6k%9Msj);-M}=9^m8Qaq9rKv9}jx#*K89&tlrgTUlAT
zP5V`W*C2gWbhy%eb2HBjd-!)&;1#d@%Ouedwc|&7r~#^OBRkI-W=Yh3Fn<8Bf?LvD
zd<Iu;OLFrx9B-B1{e=tip5?j9FW4v4I#CP#`xV_WtI#GhRYt=)!qLt6bg2i<Prl*?
zYg?JKlvhY2K{BYI6fbM$@TSPrbz}_^Qt>a<eY^px9mdO!>Ba58<BD)GyjF8`Br7^l
zNn+c*bQ`}aRkgGLw_eLTP$lGhcSf>1o_qNA?c0uCJs)GL#9#M?(QMu-va;*+ap#_o
z6SRJR^?V>qsos49u_Qi=OG_juC@3|FSIM3tT{S?L9KT0(jdhMn+6QW|ytE4AkMS0R
zd_rs2p_yOI!zp)RV5vmoQkg|$LY+7C1Z6@FGGClY_#H@(_V#`q^`cVP0qsTfTO5EQ
z$@x7nJg9gZkfFGG8i@|@OX*KqT?v7M2Qp60b^f?}cyxPQAI#eN!2-&PuYo%w1$S|N
zZEteV-Svv}IceR^RGVej)?(U;`%c#NB2IzHmc>F+&;Ikv_F@l7YLh>l_%y{dKCIkk
zH>Tr0gvTr|xyeQ3@P+S4H4yDl984jnBF?_=m(-P?*PNuBc=aZBnMTxbiZ+Qn@d_8L
zDNHDY(P0{;W1PA|=A(H*^>wIx_57_e-@E#vm{}U?F^ikoTjN&oJss?-)z#G{+9qN%
zEq7qgn~YUK04<OST_kC-UuxE$vV6lRo+#HbqW6FSRv{B~rs)EP&!*70xx14myV{D7
z1KY|B0y(WtTGcbKkMbD3j--fpXXSe6Nl7yQU@I>icavTlf7{`9Z0M3E!tYXuvw`rv
zumr;5UKZfo?6f%`nlzqe*9t^bqD=c{q0-vqai8OqO4rY6Nx&+*i#>-A#P+aM{>mxa
z2(a#KIN2xK^PHIlP8iEY^W&}=?NY>g7#*UE2DKqiO!uld)xHr}fmW2UTw1NMxLf_5
z2XEg8TT|kwgfoS;=0hz}s!DeK%zq^6svSCUPr2`YpXWwbkD;n{>tr{naB9>-q0mO&
z3mavKw)R}<`6UT4vBRXC2S&b8{g?hKL_X81rXr*kU+14r9#tAlyzq*xCVPAPcYFe?
zDhd}GiM%Bgn)j8b-Od5BgC#+jbVwiu_Uyio)}|yr<XIz4(I}mD%k>%+XF^#cp4c1a
zyBW*yHBsy3+mhfCfA7^T4zafhMe%!o23G3h_WSuIVd{&H^3i~Dl4gD>F4d7)C7Mi0
zE}uxob(opgUu}oO^=nm@KSPhHAbhZ1YDB)ro&dY+mgPDvK{2qe=j!BYB4cAyh$-cV
zM7gcL{oz`MKCu%Zo}H2_gI82m`sjCU*BZ1o=<bW<`obmzn9hOSf=X+jNHgdJ-D;0j
zJGh%ElfQV-K42pTftq?p%I|Co>US%+JC+ARNZQAbdV8a4sp&Lb40-P2)F*ds=&#Js
z@Ey!BM<2b%u3R<GPep+BM_luSvU>UcFRb+{Mi<!INXeYk7^cm3wHL>!G_vly=ICK7
zuSI~0IBg6iqB!24M=Ljjri0(WL|}-r3MA8{^>31SjMpXdsJVu=c8jB{(EDhm8OoQv
zA61ZH4-#6<tsZW?RD(ii1Q73^9~ZTub_kH9Siggo?f|F$IUL>NWE$IR^Z6jq&=M-I
zvr+?nxW%AYNq~mhtC(yxLSoOpt$)%;Ou;SNVGwUgNw-yY=&EkqvEYDDDldGn4Z$tN
z%txYaJ-9l!|Lsudg%t#nUy~?Y$2DNyIcy$tp9}b7=}j#yvJI^1k*5!W+p1<`Cf*HR
z_ZQm*w|)@w+Mikwc8Oko`6SDu79@6(z~U*70K}A3&Hj9qg*F0mo}ngjLztAzWmle`
zE~guhEV?m4|AnthVzGx8s}BTAI4v2&kmviD5%*Vk_orwoP=T>k-V9ZrWW&+7<kZa!
z?ICZY{+Py=>(Yjmav_iPN0@CflFN4*_``#x@VMNAEmP`<5Mes!&RPbly>ep8WshN^
zocY8aq;A)Xo0p5}5Ur{yTDGiADI3bLZ&I_w5Sm@v{peG|aGQ2p<^Ll4e7qEJ9~y7u
zR)xQf1hR>C+e$w&ObVQ-^nXbRqX9FDx3Ce5NW*ik<Q5;Ih*js6uiUZakAp~VJg2IY
z*>(J=@;IU8XU1aRMc&K9?YzCai&a7i6(+3=-%dXn`$Ib}o?gamDd@}A^I-|~6Uv}|
z?g5@SWqux>w-);2dOjVTQ<oj(BSk^C-_Y6Sn*a^bmsCn(2H4W_^HEn<R{=l`Kf#Lf
z{b2bVr)>JoN6AUgJkuTGkLy_Iw?_*_MY7DdLFB|92%uJH-%AYJqlef@d(*+BzY6-L
zr!Uvs6W}Dwv3zlX;f*Aq1<i!O6#zCQ6}!KCMy}=LIV<D|E8}~n6LR$IF1`lNdZlt!
zm~ueFtI#GtWyv$Od-5KP1`c@5SyMRKL((wwWcwm?L<ss0{a;9loB*&n&fZd#sq))y
zTnm$v>-4yhx4O2cbx{Ad&dyFCM!l5A+J-DO+ouj(9RfI#P12W%*=S=tA&14E)`?ar
zKQTZ*Fm_q<I=AaZ!*@H1Tk8u+xQdkRn$?2c(uuisG1F;?%#LdF7rNCOxRr38R`m13
z167ItLst-Vg<C>4IYFs=w@GO+_aZF&3Q5oUQ<6*vvC$(vsZ^lvJA`JK@%K97z0T?~
z?N*MYW#X`7S2s65QS$hg`eH1=w)*lX${Ebf&Ng}c&El;GyueiGqO#f8ZB>)D+!TP(
z#w%*9LaX&*JiSM<w4FRKLWG&u-4_qcuP&~q()J(v;!L>|RD^j?QTFKHj|=(i7mZXx
zUOvZ-jaHv)m+9p_WqHD|O4Jr&+XYt?B^;W?uaCZ&Zgy}T2@EtqVP5O|m*i}hUk6(P
z251af%Z;gnnNHYTM1qQf2tG<TKp#63Uq)OACf4^~ZLz+OCL=ti;0F}LM6&@?Y8L0B
zHiYGUcHKEI`qIkEQ*U!~^NTy_t|W932G})0K=>+Py;Fhl%&t@R1lQ1FOMb}e7#efn
zqs{{z(PcWLvGH4Bd{Ara2%(CagrxmjNb7ofl0T81)W_>HvKOSd(`ClW_)szh*0UHk
zE*Thxa2$bCPE(SY>P|JA{0m7UkHXYT+LbhzLgnQ#xLBn!qQ>pF3=(@_lxy$CLOz->
zibiewY1f0Q2)Q^_`J`UE>J)^Fl^{}Tya75wczJer^6sJ@$U*@2G|PImLbH;MZ(xY<
zvgy+(s^i6lztd(5t)K9b00_hoj;@k@D-0$GC6lc_Q`#aT@-drtirLn=Y{ce2wcd(c
z5vKK1nL+{A&JKZWFKG=ajI8<#f(SsW(N&x~`p`uWeOu$2#6Nx;pP)um;I7kvB8?zI
zvowXIT`$@t6cF%;@#rmFSfcF|KN4V?Nhs!*^H!!d<m-@~`kT}oN~BScQ-=fseaDaC
zEUM-1Rw9zwGz5G##i`VNi*B_cKHNwtzylReD1YQ!x)UGBsNOI0MfmTssq1yc`h&jD
zqjiXk?=d<+fmuHRpkJ1Dh1S}XDp5zw-{066)<nD?yzc@yR}&UYML_F$2>`^ir%Lp6
z?2mfaI55!yB?fcjMgDn}2|YbLe8?ykG8=m*t?}x=>#GurlXK_3W{sknl<wPFq!A@?
z#|B{st|T>wkVy%asFm9mPVS-D9>b-m>MsD_u?=#$^H&)dS&-dyqXqWh;o<S+T7m;s
zlQk(#&-Pt(e@)WWHcPa7Q*-mcY3pvDv4Wbd?ct*w%>_Snu`-5}9Z*Du2}KP?ANDIi
zqey{ucS&7%?$`{A28rpQnYfq48Q=yOD(fG7DvE_-U16%4TwQ8!Sf}JHM+tTslQ?D6
zOBEA$y@*LkS(MBvD{E`DX>dOW1O&_%q)71)YZ@BnhJ}Tt$j|PW+^Ux;i!#Pd0{zK`
z^+?<Wf&jn2qPBMK?5r*<Jp9t|Ng1r2{-G)g3Md?ryR~5Zfs9)@y_&?h>wpjY;%)8i
z0d$OqK@HB^BWYGVa6E8uQd)e#R7+7&pVwYN`17CJr%GBwx_wu$Y%FJXbra0S#s<Es
z#J`eq8#l5cOiTn?oAK4Mv9e0o6ySaF@Nslh&C@;;@OpP_e&23bIk>k6JJu6#IrB3{
zLPEN)5n?DWK&C7ZSuIP{)+JDCUel@9QLNXg`ugG!Z-iH>#)yHTY54F_+2-k#Z!ToE
zcF6X(7MMf<`~Aq~EU_2WtzN9b%g)BN_qkX+xT4M2pV+f8T23fo;?1PhOisY_eJm;#
zIq7Pv%Wgex|GSF+z?*}s{plj$*AOLjXDQ+ExjCBO=#MTFdAgb&yg7wYXcQ?*>o(gh
zTmgCa;ymAr;VcnqVc?%-V_Ce+H;2YAa5<*biq`k5>MEkV-aDC=$}5eQ6FsY)K9`*~
zzZ9l~<#7l`cJ!09b{c;R?&fgYAIy}GOJa$-7E5u4+MF!6x&fs=cJr++mM^`*sFf#D
zc3g3r8R+aCb?5iH`4rDjrvb*vyYDUYymn^(`-nEc!R~AFG;`P)%dDqWNK;&BvYo5<
zd$^h1YV8jtFcRqO?iRoPgQv3P<G{&aZN&KH(}DrBwY?ZKi%#A5n%34<)4@2hr*KTN
ziq`I>qPY-MOj1JsgYq()i_@D0%Y4!66m{iDho$Cfx>~f|u}nPupH`p$8sm|R`3hXO
z!=7q@w*fGm%i_P!52x_Ii`ezL&ok)wOpO)%UFfO2IN#d5?kBHc%{1k{`u=`y()eq!
zs;Q#rup^P}`;-}qr%8&xK$>Jx+!k6T>~XT}WgofmM$^n}Q<T`+VCb;D{CzY5dzZ}A
z909A|)ydPtZGh;Jr~IFMF+Vs~swMU3rVK%s9c@}epGj$g+~-l_XXk+VbL8VO?uib?
zsnWExwD{AN_FGtA9I8e7E#7==Y^-<_lubSMc}48_=QLCfUduf$u$hHQ;p=Gl--*A`
z*>jlo_hN{+p<o*<;XE~g>lyXaB-ef-%N$M!AS&KlhROZ1eE*W-Q#QSydq@vA$L(%Y
z?<#=x{8X0XJc5+Oh9UeuWrb`%Kd0&EPv1X!4-m_IzncT&rvq(qmd^$Sg15^qyYk-d
z&?;S+Cm`una(9uEfAjOdz*DvwMZ5p=g`s*6v(qZ#Pq`1br!QLb=P7}cL%i#B;L6{a
zrTAaRbMD>1b2&f&hz>}6eHZw41)gQa@p3{!!_L=9Vmv#S$0cum%n+Jm{HM%7ppVrN
za&T`r%#IYy56((_7NOZ6z#Y`&;yFY7-vfToR?><VCORn+4?ezV#9qy|Yfk9{FW+o0
zXxh^Lr}F>j@v-TlRfgD|LMgyMQwFXfR+ZS>R4vnHe@6i(C{DkRExx3+XS4h+QG{jm
zzbAlZ$J1w0p9R&aRkn?&_C>%7JX02u`7*?A0ZjXOSFW@1R|-h%|9fnpUIX=$dehUv
zPB6+U=)NnTYryW@FF<y_J|&8Chtq5<W;ne{Z-U6IS;saXT{uCl9_mmJ6?^YaTJj}k
z!8B%J!^?>2NJoB46@ID+nGgCdq+{EnP%#Tb6^v`to_arVi5W(wz{tbL2M@UGqiB}%
z<^qo1Lo*vogTvt!0nSu-gHD)oiyIHmji!TYpRfqcn#0MED`aXpzeX2Jnxd+`Dc4}q
zG&b(;*VAvD3rQlMmZM1H9lm|?i`%qI{3#Ax4FC=vJm;PMyJ3%{X2op2zv#m6|F0<i
z|Ns0Tr#k}Kgjn0!wvRdG9MT#x4L3p^oJlS1fuM4t?~Tp&NU95U;!r-3nGyZI3QaEM
zFrgWFBh=q`sv0nND%+|W_1DaYw~aQl6}LoYT_3;z#N#3?ER2;(*_8x!0#3gMl<11y
zgABMfO@n?PkO9iXWmhBMG#n?{p=~l-KLIe^M4S}WDbGMv9W;-1IQc51$-Q&etHojY
zmy=55CVH_y5V*3tky_>!_e)AjqVw4=x_%hcWL_t%8tOJ<(2+iwcr&6Pk(!u{c%g=U
zp4#Cry;B-hWBh8X<l_hf75l6Dr@A>=i}Il-A`_#eilYpy^{jH}rJAaRIsQkZH&k6V
z-Cy7M_<b)1T!bI)fO?4R-#ovL+jJ!|a}aUf8ae_j+N*&KHrr!AAmLgX7Z=wMFmZf*
zTqaXAX&K9zn}j*=rGAcGzu6AnU@=NeYiJ+SDm67OMRlGTIl|cNzy0k09~4Ps29=L0
z382H5@-3+`1E3%d;#e`}eNwYAx6w4#?75j49{nj}eOvJZfpG|sfaouYs-3xx9^A|a
zq@!ZBMN{Rs&|nb@j4a6978n<f<<tfc^c4WAF-$e+-X2Yt-8{d83CCUjC~i#Yt0&mH
zVO|&hxcy`1Nte-!@duZ4D&)WK>O51Mv8=IwjV{do>az@|7h}Y6c&8YXLdnU*_lqPA
zzd_&D+Dsc!_SCkx{+*H!8<jV<rFC<tBb3DMpxGJ#+Hwb14`ieo8XAfdavx@&d-|3(
z-2nBW&Btjx`;iiigk}yW2M6$9G%Id%hD9%(W`IjxyMK7NWL^Da4gh;q05(gK31tVw
z^5_rXUDSZ}C7~fp;o(kq`xa4~;%3lfGkXtRv`<=HoSk(Gr*U(01OFfP-ZHA{?p+&Q
zNQ#tzbV!GUfP|z<F1ouU1f&G%Rs?BekqZQ*MY_ACOS(g87TwL6_&opp?){GUoN+#!
zkH;|_LvY3X&AYGrn)8NnZghgJA1tUq$mw+APwYN|-EbJB_SV+cUUZJ`@)r~o#7oge
z8AAE1Dk`qs+5)kKo)q}xX%-0fl9atv9VIz@ZM{u=c#gvgbmpkZv`Z;#cd+<Q1D4aj
z)c+NTQAtfM454-3J$I5jq+jmkD9zTfiVmx{FHur_=BD6kTlJeC$Mxzxf@o3kV4c%N
z@K!@=X7rt>glQEO$2QOjnN5JCPCxVU5f^V`Cv&&C9eJXepP+F9VQ^154UoU}9Z}%N
z*0a9lx^^hwcA8MJx$e2X#=^n5iIp<Us}+o2@xOa|8+-dm5>q}|j~`&4tl@FFMMbwS
zvu|-(8&!A3P5a1)qfY@=cN&@MJ1BB`1odET*fM|FNi1;<y8R@kI|4vmr&89OmDCqh
zZJO{Kk<}yKPNu$I&HC2UrO^n4eI{$rWb$4uYl3qNJU40ka@ONY>XVD_Y-7b@q1|$-
z$CQUFjdxE<s7^XXnDpNsm6*&e6famp^lQph2=~#-$kfzxdaGpmv9Ym+g0Qq)P$Me4
zx>ijAI+7^?TcybLZr{nt$;OfekzSLdj~I|1h4nUQ*iE>loJw#YP#zkwAl$YlOEjSh
zu*QVkt)YXux;h2$XhpIQjYv<^_*;aZKsyo$ZVWYET~l;EZ_3L<@FeluD=H{|4!aZM
zG7zH?!|tGL*PZEyzWQtWwLa~u*|J3oBx&HmdYBpi%l4PANhN^oBNA|z{<Zz(Z{O}D
zKjza<cyjTg=2x?x0NqCa#s)h9Ta^whjLSa77_LlW8gc6We*IV4zOQ9yfzecB>Ybq#
zRGi9O+<@6YP4P=_U;fk@79=yBXNQhY8!ea3PtvNNU%orisG8t3YOH^K)pv)i$CgXL
zC^|`fbE;@J0UldBN02WRB`biIce6`kn7Mgs5qzhN@;{pImc&qG6jhV^2a)scQ1!7n
zA<(x;pGibUsrvQJS9(sUhEv~Xr+#(Bol!HY%KtY9W@EX?u6%*B;{@gI*y;g&W)K?8
z3Jk{Q=c!oK+@6<=H`0onH#dN@R!&>>CJ3#8-JFt=eIA%DXfrWR{9}IdoD+<ozS?cL
zI_MqL2DXR|Jj^Nhs|}1-I7;RUu@Z08Sgr2N)+xHRvop`Qp#ZxeCnujM09=!2;q)pa
z)6*U<&&cNJH=bK>XDumV{z&s7$o*vcbZZyV@+06{r{_+$YMALcQ6Fx7;)wVU7r-bN
zp=D$D<LCnVdo{~(%z^gxZbmU8(s-=(<|{KNbj-Q$v%}p}=TbPc0l7Xjnrs5-8@0>z
z2QMJIZ#OqLQyC)w*H*4v3FAWV^b*d>e7Vvo<00*FVfv32df#cGFqFD#ywM%F2y`X`
zn&vZEolfx94cS{C!HC1>gNHub0*YF|gyrJd_4q*dUUoPY*snS$=6vJ0f0$4M>+`Kk
zOKXWe%HO@L`?Ft79ocz(BvWz<O0~FS#DqOnlVQauXA%%@+YJt0KG|d{18^s?T<}+i
zcfsjD8v4EX07#sWZp)j{<@({>%LrB(ay=r>iwp1EFRDg|876q&PvVnZhspiV2ELD}
zpY0KKk&Flk&i(rJG{zR}Zpo0<;9+*0V4*%Zu?0#YdFaB<&Q7EK)fEtK#BL6N4*)b3
z$@OOBPFIr#Yk{uz2!dd>lw3w`T39*WSO}~N9Zazlr=+Cx0U<vE<R@aWPCs=$#eukw
z&$xfQrj{KBg}p918kz@v@{0TXa}eQ&Kuz*9jB8EK!}}STx5wBI4PRlOhPSy!e6jDa
z0<S3_YmYUG$tA~sWHqI|b1{FOIA4eKE5sT$sk~kRzKB_B@{)P$g6{5ROucfd&J>5Q
z4SB{q3^9L%brU86ufw^uuvEN+TX*w96e#tV-OEmC6-pA4u1WZ%8_128y7E?B+8=54
zy{A~?fHqlKT2}LoaJP>aQ7jCC>p5;ThG$z^TC8KT#IJ4sMwRmM@km8-(-UxI$IYi3
zA3-6ZNa%&l#Zr9dU{RoVf(*T(McCBi+@`d&->|!ONB6*h;$5YkTUb~qt(rU94tqmt
zN~PW4aa?0MQ4n~ckcl7BQrv`$l9zaD@%&Dd@|g+$E0PQ&m;!+FWX&M?SBo_cZ~7R3
z7CZEPcK@HYTkIRz79qBEfqee$L)D9pgf>&rai!wfm?5i9hYL9}b(}a(qxmngSw6HI
zH8S*$P>-LT1cZ7`s=i{tD3!vvcH^D4vlWtXmTL{a?8lZyq^w~_o>z;`IF3(K=P<=r
zR#l~vnR%HDbc9#9IQ{Z#>UClRiPe5_rte*2-k!W_4*1JYz@uVa3cV=);p`jt1ZbZW
z-{0u}<d{qOuTior-&t)th9`A^fiFs)?x{tgJM_nuspyt<w(j7aet$^6^S}Yuo)j)u
zuP3Ox(6Q@LL;f;hl>WuK-qg@#MOf25(JIWhx3QUJ%ca2&{_1-==PH(JI|VehXV>B`
zUxd{bREPoBveRdty#H5t6nd4J`N=gP-La6)0h6x;#k$U9y~6-X$q0Q<57OfNjCnFs
zz8oe_K&t69a?L%uP{{s|e8_-&{^ol45_hgrl^XePh%lPG^PeFPPed{6ZZI@?cLu#c
z`ZLw(#i0MMBHG-g0sou*t?$(BiqdZc0Wh8TjUESBKLZF-pFzUgz#ZWF5kx$e678)u
zm?Ce7{?n;$S&$sBobs6W#OS~PjA=+7*@+Iav|p2{GW4bIou&Yl?>gfa{2=%-3<Uo$
zsf<Cn18K3<(gC;Fdfbs-YNd}umd~s|AHyPCwNnAp1oaVcdu{(^WR+sQcSc4R{rGS6
zyC7la<Ja)GZXEyuQ3)$PRhc}NF8*Qby9#oc9?{h&|CRTu+1%~L|4_Ym<0Oad(9-cn
zVZ?thHo6(^ETYKH92^{+dHaHJY#bcJ*|D+MUdk*Wt<v4K!n&Q!?VTOIjnvwGF)~uD
zmoNZFJ+nW$t*fmSycbbq<_ylc9f3Yn5ot2q7C6_{h$%&*=Ka_sl1K^KP9+J@%kkiM
znhowBf-F6_bgll6%-)_@$lQrX5l{JUoiHk7q~(7z`v2xUG|I#t^vS8BQXf8Y{MV+q
zF(3br(C~GrSr5guk9Z{7KHBM(^z>bF53S{H*wX4DnRd9#;bkteD)`2J{n}#!VR83N
z>@1{n34LaIS~KkS)&xO3e!Ap7ziyzfkSZ#Im@5OG%$$<4^IQvTRHZqq(DvZ)t>~8>
zUzT4WkTe|*2-z29u8klJzuG=uIOT*YiO$c>i8K!8g%lWZ{FjNn_6>yJNzJI{F2VlS
zHR?D0O=SL;)L#1%MT5*!WVP4%KM!{w)H44q?&*Vv`}9vQk^}kx;EM<QhnE)@g|UQD
zM>W8H)_N#X0Is>z+}!LxJ}nMn<JiVS37%lUXCk;!ex%m~g5F>I+5!nXHB^tj-w^mW
z>yAOC)4b#RP)CZj<SdYr9wXM*_ZYm{uJ@@&g7+mk>b6R)U^lea`{E$+JmJ#4-)TI#
zfb>yg<B|vDl<K5e>KjcXcQ#gN#IXF|oqcShSZKeT>NfQu2n2t#Z?k`FvN&?+A75Vx
z#+MUt%4DfdNMsCQk53;5OPH)k5*s)ztoA1*gX=E%thWnbJC>G~XJ$1^KvHT26}WP`
zCSm&-L+ep)!YQ`<1o-XWfp+FDC;@L+95GH()~b7Hx^T*0UQxjS_}CX2{Ym_ud0Itw
z``))nFtTv2ykTe#{eG<DU1(nb>K?CSU9`KsJx3VXxd6o1pa;9FP(vhWlVRDi7ZM;v
zZ5Y#R(pPWgA~|vOGuGI=$&dNxxqml}NUr_++^Q2?#Q*XAn>SdjoX`s2J}tNFSA%j{
z`KEYxsd%fX)IXlTrt1U~`QX?8z(F}c9gGaU9Rghe9%$t(SAlNDCYxzrbPb1nn9kJL
z*zvXeA<(Mljj3+JqSC6|*IenuDT=2tJ8pL|EM{O}AWiiy+5`VD4ca?@VDk(c_~BoT
zZ*+%ULAvMsHvwXM>~|*HfU8wxc+I_Vy1=r*4PBEt2<Mss8LnH3D?;RS_E0`+yr`hS
zHeg9$ZX=R3QpB{c7nnB{tH#yK7?oh(PUULZ+0@vW|3j<?BIYtj0qN^^@xSTopBpUh
z{}}>HS@`ZWy26Mjph5KiJ!<j)zw-azf&Wi;;JXxn!Th2>AZp*!Gj!gha;<ixq@+ZC
zBE*L*(n}fMgQ(*l;6n(R00z?B{TMDU%9N`J)1Lq}4!5-}{p@#Et@rN_ner=Ad)`+Z
zcbgsbz)(;iyn*%VPc2$LqWZoKtC=QwADr0^6NW0uUZgDv7%c#--u_iM9^?m}d+xhJ
zL<${1tU00q8Rj#CZQN0X8Mk|+)B&L%+1e*c$UFSf*XYU{!%Xi>gnchw-6w+lpmt|L
zmy2V2KIT04nX+?gOJJZJw0LUGxTg~287*Wz$}(3Pcg2QhXRi$Q@lYXz{`E0QmSB;-
zP>)#>p0?BLURd|CIy6Uanm)JJd2WG2yV%&S`t?0#bTT)j(U4mVA%Nxfa|3WDi6QyP
zhO~%?i2Y21r>iQAvs;caT1h@x@OY4ZyK3BUqjsn1GbtP7+X*i}|AJM40o}$4*gOQN
zBu=2E-Dag?aQXQ+VeZkH@d6QtGv|kEN)MjvLm2MbjIzgG-0)}7*V@+navlO;U#VQ0
zA%4@Nv$I}tnGc4k#fq?$;<qPDOqGYRHzIcp>fIc~;jPG!uV#r!Nk*mx4XQAclF5ZP
zy4g87IclnrneGuw;LO)P60;b14D}ySqy9v2b`#&U&vD_DCuI}@!9%g$P9L&bIQ3-I
z-Z{+}0eE6P{sRc}ed}$pOr}(K&`0qoV`toW14?KwGtec;iD3|cq<sUu+;#_wHBD$y
zvJFVX4;-MML8$dnzW5G-Fy)nm*G9=?f}18g5*SQHcQ~z-fi?{TFwg{Mc$XmF!Yy?=
z9ej8NDMQ;0RsQ^fd<sH(tX#gjx;h0~o3gd9hE>BUw3@2MZ}f*7B9^Z5b8;-2=mDtT
zci`=NWvp!kw){2+v{1%$FZrNFF#srBg6-IVFgQGrEQGs)Cp+pqr)j-i(UG7fmq@eW
z3Tw0vtI5jAS?hL;DKT#OSOfOu#V|QNJ68ui$ga6Nt}K+42HT$hRIbpU*#6?wI#ND9
zoqBq5Vwh;S$_KS4t?E(&3KBAe3;I$ULtO|79d^Tdw~k-Ge$|C@QOCxx^0`1N=u+$H
zW1sOy#lIp_H{3)ZJo}vI(CHgybuU2^`dMRNmR$TerLfzc_r^ifubG({YJCNWI?usy
zXjFViuN+V*9)O7$*tc3|tFu<vJL!ZAzi9L4dJ)e38r^Sme00<)m}`{@#s?6iv<A=9
z9oX_9xckPA9{>CS)RzGYL^qNOYBf6331@>-&`gA01WTc@oX2vl8hLnl;FOn_KRavm
z4ah8#+XQ+#JTp_rt49G2>5GZr2Vcq1(FOX*46_4k)s~YB1?Mf|>Dw8ut-0Y>c}JD9
zs#0odBbWfJhPHJifPoL(E1!j2wn!2||Gge`Bb8t&zhq3j3o^;UE}`=fn(9wb_GwP&
z>sa5`1B|q;Jx(nsJ3E`7+_W(+!qgm4&Q3cAlv2xg_&Tm6!Oq7&nC(~~F%_Kwr953H
zIRv73uYH+;rFvG~6qHp5vxE|cjs~tjqzs)Kq=x%JyPH<zTR0r3@*hwF)@5qRUC4ul
zmX~f3K$wURhVL(+yF=SovH;nwKT;|qgC8QAD$gjEVk=aLFl4sUyD)X-hRdU9V?!Q&
zLNg?^+5gjy4Yuzy{TMbbF8>a=R~>gL-U{?j?M?gi%AW1{s11(+F4MUUSSnLT(ZcL3
zpw!K<cau|5*-cg1FPsTYWw`pK#y#UrhTPiD(ncU^n_|k@W?b&EE}4TCMLfOrb~{|L
zP=DgOGV|o9GZ<ipjm*zF^ka9l#jrY@=j@=iu!wQM*tlzV4o1RViz@g47<}0jD{fS`
zlnl)9`1<;KQ0_vL8}23T=Yag(q<xiv1t8b{V1I6A3AGL1+S!RN=w3d85=SIe&=7?-
zcz$feL;7mgCC3!=(vYld1K=$ex|S~hlxGA+*46OMNCBt8SuuViaJ|28#(h4FKZ^PS
z^;;+!AuyzMbJ!-m)k32;sgZd3cp+~`y>n?PI3;y*E`Pf)GE&y!JVyoX2en-<jDxx<
zY)QaXCXv<3vLlSt+S5bPO|HFa+y}tSYS!BeDK67i{5$gvLOLJ08&gue9?vAdA3PML
z3YM7W=_hYvjP7=v^$LE*&)+0^9Ws#x*0)NvaM~0PO8hSyC{8hmT4EjRHBd_0^^^ty
z%%eIxE$ww=W=C3D+OCX8GCiVpM~J>b5I^`?o?nLnRM6vSojjZin~b!Z0z!`pD!tbC
zYS;ivx_GZP<er<AWgfD7X+2V;v#=we=rx!k(m+;&Cnh&s(AL&gXE1Rs0Tjvi&wazi
zOld<}&RAN`JAeDjd5(!b*|flWOrk~4Iz9r>Z`_@c)SsZ~h_?VRc78V(QET5*E)Td5
zMX>J7ZYO?^FeV%dfp-GE!g*0z5%gBa`8s9Uk;%`2y`00OF1s!VPPS)0b3fv?oi0b0
z%2CT5o%zVo<~%n-Z}8>jY>dr$2z0JfVb8wU`qWexdcFp+DjF03WHsWV(!*O$M!K%;
zCM9$V3JSN|wL5uI(s~A!HafuH#Df=?Wfnv%$){S9gO;*@O_)yd%~>L_KG&K;Kv)6)
zRsR}1HaaHO0#}EZ;cy!;`Tcvn5M}>+pnCjJ6I`!et-6+NaxgrcC5P}@@Rb=B;ysW(
z5E{O2zl7BTO>qNT!~<;tRn-xJD@4(8Ig9v9yrTN@@vx=o?Z(D+biYui{0P6Wa+~F%
zWDB^f{7|pqDc(3gQ2!c4ZIQK=6&$AYydz;dn$593;~I1=-ggYVqgVrh$a=fO1{J{I
zAi|{_oftZmK9nH!_-!WHxT~a2{lu#DA}%qiykFOvo&nH6^3Aw6p7HXIK|ON0R!w0k
za$?YTMr=eve`*UsDN6}EO2~8t9%%O?>VusW8*$)Z#ke|V>7g6GzII{f(<vgJJ1o!6
zK&x7go)>f?vVU<yMzim_K5lljoR9L^YI1+oJMAsD;K~XzH5gVl;;6yq<5L=YoaeOG
zG@T(8A@xVJ%UM_emjqjwM@BlU2sp$%@Hi_wJD-3KCnmstq@CzN{x0e?<Y#i$xNDT)
zV_*>=CFR&Kaq7*>%WE6wl(&1iFjMEcI|S{4+uXd*Am~U4fcfxVOgVhz>6G71$o#qh
zeLK{JnwW8v7yU9OE$RarJrsP)BE9)ms+mtWc)SweV5y%ua<M|EYn>6rQc}OY^@oWQ
z6B9XLPBmPs3b28gqw0#2I`A$r*WLN#t?mAT&=wZ8Y_H;`rX~%#1-;NrTw;Q{-OF30
z;opEyOiiSQ<CjRNZV1EdQ&`SwjeWxZC?Wnv@OoFxRJxYh9uOz=E-x>o5r=lr(-mbt
zziCNeDGIg8_YPre0t2aMjkg5QT^EB>?Pp}$lYkY`@}IzWJU+b(8e)J`&tes^dl|WM
zNeTH*1^9Z*8$%gJz@1+)L@epshPfAIz5zK3w3jX_XaeMH@j!G&>L)(ij0mBPGmnU+
zFr$+*3+wGcgNb8CW+pyCE<j+&HNB9-Ob>e;>mi{Hg6pMgbp8&A;G)bMFQKVyjKF!h
zVDa(t&H>Sz2^KaDKOpXL*C{q`>7_TY2|NGZ@zoNk`Mcj=>Hlc2ryo<c>*43jLN9|y
z-<)-snb#ExJ<e?*IXrk}ilQvkCAXZ_P3X}Ov(x(f)r9j5eFHe$CIU?H$R8b7)VyGh
zFj#_P9wfDNg@{H2;M0;Ggg<<-0yuCVCV{vWp{cP)Q@|!AI}%)FF36$a*sAY)gVS?h
zU9s{AU2CP}%(I$1Z7?vk5Qr#iJB^Hd?dSlUKl8$*KePDoNCrW!`rB3dUd7(D`pM-`
zdC;y7S^t=om9@gQa4N>K;S(-gv8VNbi0w@A&M7hK9HW4oM-~Rs68i@N@(|wagnIf%
zDM@byIHA0-q=SCB<KttOqug0xg;B`8MS5`{QggNCV;BgWbqvlHES|t^I^O|WM=!F?
zA){zyZV#)0vRKeNgIiI~LP7W(lu6{+po5hr7k?FlMs=<M24chag>L|Owk?^IF+BD5
zeMz&ArV?0jGSLw>I|;hDoUunE_lbO`%-UnEBqm{?W30m_@^<Sk2@#xd-i<$U>~!F(
zEv$PAmtXa2|4Jpi$O<)@0;Hid)po3JCxl<(Gw;1u3kS|!%2AER-3m}b#0wFkOjZ$G
ztFys9N=-yFz?t?gT0_1OeTnaq%lKGt*z@zSK0d4Iv}pP17ivFNqKi3J^&;Q{Rtga~
z?0S`KOUWaEWOCsS<<AjQbjoM9v9n7_HcyE<T0J@n+{g9=-+_oOhr(#1x>g9<h3<3~
zytAh8GCfDkpP9}Zc0vxoFvBF<YbUxDGuM1;DUj_n$%H6?3gH^&HF$^*3uNezbFvmS
zm&_O%YW#lle3BWI7?4Alx-sxO8kMvM!@A%jIKVI{c&u%j_-CAO%D&YI<8(CTf-X7E
z$DHPxmWH~eX5G2qi$PLcuBhI)BtRXvjEjqVYx@Nx2g1OlwC{+Y!BWAEFJSo<{7S`P
z`4yy>B!CoFD^Ew+e+ld?-imbLv?zAezQACqcE?JG4-ojewqajEO7-ei1}S!bZKGSO
zvb_9je6AnJ@lJJm3ZHKbwTZ1?-h><l)lLIFE*qa7+TD0N;jFc$J+2P*W!d<B7ay!>
z(Uj@#b<1s-WA*?K(xWbKNJd3<qXiw514lkdrJuwT0)C0D$Hfh(jQU$7aleH`#TzpF
z*FTejOvrI9oZi0Fxv&5pWNdu8O51uN!7da1Z!j6kuRs_~gbyYQoyHvb!a?yg2&_g8
zW=Llx4z@X*fN+Q<w=p+&gZl2A@Q-H)A*LX2B@g2wr^g0(bA`oVN{alG)8pgqLvP<)
zt~WWE(qMR>uAZ)LcBX~2{)BfhqIM2;)8+70>u<)A&Rt1vs%d3bK6{x2Dy$4AerCWD
z`wD8jwStOJ2HWKI%Y4-Lt9@26<u8YgfCY&Nx)^%k`41d*+H-;ua_8*0lcz)f35!X=
zbyBlGs`C4LU2>`q?_#VwfYX64UHb1{63b3AY&3vaZX_#a&KOQ%B=@(LHi3$P1k*5$
zSSkYj9gL2Xk`q*|M2pA6?S+VW0pRh53VHhKL5|DM%X?jrxeMskQ^4;vG(UlS`=joi
z%8L;Ta##;gG*rM0^P=ho59uZ8w_}dzO#3K-L&aro3o0%|+~u|#=JV6T!=<yQ*Ss)}
zsPY%X1h5?dzVmNQS0IdW_9eg;X#%hA0xeSPbX2CxNc6FAb2}TLkaA$J1q}byekE6?
zJv69=%=D8DVpt<go^hhCuuf$-<mgWu?3wfCXva`p<yd}A&AC#3h1f_J*P`X}pYcOs
z`&E$SL;?d>9**ETlm>KwrHz}Mj?n7DIwe(lxcop|466e#M7=2e07iHhlmqfn+*yW4
zN5OQJzA;csT9rtlsd<6|ivYSH6Zstng73~kccA*zy&GgwVO#~{(|l0h%qTm`6S)hp
z4?CnhZ)O_+M=#BB3>)$e=4f!5REU@cb!Sl^<pT%=zvezfS*J@5;-?SJ7W@mTsI!3D
z`JaD(lO1XXFZ=sPBLwX~RIBf*04{mwcxSIGmp3;yhm@W0TA*sCD`EG+@9FrFAguS@
z@BjNo2t)w7hw_(t_32wd!FConbQWFi20+}FyS^2Qdinni{Rnv)5PQGl9ku*jf_b^u
z`GF-M)_Qh2P{lgMWoj#%7wMES0>pMgC}PAstY*I}imnVCgCQa@t<A4EWxx+k5)>4y
z#zBF63zTTX`MVrNqW_&0;?LIf|Hx`Nf<LYT3utXi*1P)zW&+bb<c<WP2#V*9m22*E
zFXQGw!@Dxmn*JD^NU|jpyMtee!ks4eHXc3E?89`N0S#{8pYG^yFW>?Z@9)~I7JT;e
zUomU90FdzeXjzMXYX1<lkUrBFL}!BJunM)o8z2=p|A^t6JfN;u)k#Q_|L@04AP_&+
zSO0L@)NAg@7O-qN7}p!Ey9Rg@I83r#3VtbbhnGMYB>wZd|6`vV3F2286iE3ZKu}?L
zdt;+YW)qu}5CWlxRzY>?0U^JUz>y8&hiMvSMUiZ0X-NXO1r;Zg>*Z_iY7FLJmM4f~
zNtuHdiJ*pgLnZ9?&T^vgc5oivDXlSod3)%c!V`U;<~4Sn4Q5yRw~sHH-<D(ICsdmh
z)Zzbm^=_l$(suXzb`kcnTIYYb03gnKRJ>}=8lTo<KVpSyzxC9!EqY{&bU%okgZ}Yj
z=p?OK()-3Hu{S~%t6!(Mrxw9&BRzef!Sr=ae!x9$_YmA)HH`^5oyk&RCd3SQHT0Yr
zxkzLR!g1f{#K~Op?pJ9T+z*;1Ac)#p+Pk0DeMkads-h7RgBsEFUjEeY(@U0@_{4tt
zbp#TlGf%^WA!}KxO5lac%!F`hQnyEUZvy|u3`qYhF3~A(RQ4yc_YKaZZvY<CpV%7n
z-na_LxZu|tF2CI@ZH0ecOX)YfsPT6_ckc|Lis)StG`sk^7Bc{@;^NJ+-dguy`Mb1r
zw;1%IyN_4A5AGm+s)C_{Wb6c3++VbeypNSz<-5f}o|Ew8Q#E;WJH+XYj|RrRnYsDO
z0*@Qz-*2+fsdL#@0pn9J9>>F_?@hjrSCoAo0e>km1DK#0u6FGItlkNw$6xDiDNMZJ
z>c+$g#C00p9}&nB-Y<ea5|CMO6iw7AVyHkRdI7%!9duV{B-Fe6><Nj9#a0f_)qV5s
zo+2VJc%1=ayb6y9PT)j=v_18i(Rrly&#sp+;~GkSE~)m~MuzmeofQ5de-Wep4IQkp
ziynj(3TX)hlBI-`7|*R%c2SA%?Trx<Gi~~LY;3GAce2M2;`qdLbp<e_=a3hp<c;*w
z)@6QJBN}m#tCsiUwZchxvTO1X8OqG~;u5#*eR7al%*6$WcE=)EdLiKN8d1t$>JzJ%
z=#{yxOiQ;cyPxbl+1cH!{kyg(%$^LHq1SlpYbg4@((Wr~g@vK7(gb*E(yM~k13;%~
zzqU}zy!I+RJ$)Zy2PtkUEj<`pKctFWBSl#zqe|hoH@pSaZ`!(Yg3p8WUUKuDV*`Un
z0k0l@`~KZBXaeC~RbA~?X3(UnqOwor7mpOi#=*f6ChEJ`{2>WR1`??WE<AK~3-BcQ
zd1QNU2eIk#&#G8^n)BA*p&(d9EK0xGl(1=^G$l0kab4Iend{lk8O*#TUv+jCAq-JN
zrTID9)6*ku=zHz#D;>j`h2?%G{F#}P1)>d(H9YadguJVpt8$T`Bn-j%{5+$S5i@|+
zJ2QqKDWR`#M4w~A*~RM0=N21s)7OUp*GzLBoqN$TYdN9vh&@<DjqE%uO4hOeS8GFI
zmIA2EIx72E%}gmZYdxNIe=ceXV@%>KAc4XkO(?ZTXks_%E4K^CmC&*kDB-sz$DQbC
zA995)k!6qhfdN`6tEiOZAcrzR_|e4dL!x(_AzB1O;SefB^93^@WzWg9KQS2_`2Z=e
zv4z%zWZHT+V2m55;L(=nNd!jJ&F%Ob7EOSw>JoKybj}r>44W2iVcAx$_bh4B7iMCc
zz_CoC)Iok%5SAZ6ygUJyk{pa!aEAEaQ`XkdIOd;ZlTBgWx?27v)0BOy{#3;2Wc|ag
ztF!lCQ|m(MY4&7&p-oZF<P!XW-?n<qGa*`$`d+gT@8`EICe*)Z6h8qQf1nM>=!W29
zsUUbN1!{t{)9ro6t5%^z>@Zf7n)I9&Hn+n@?}loHtJqQ6tXD&J<3&cdtPod0cYZ*&
zApYQ&=CFV6h35BT(HE1zr~i!Mg%NL%1w^3XuL2WdN-`>=8A?VP^OgyhRo)cIA5A}}
zL%;c!hlpl{9jnk!<B+fsFljOqihLwsQpCceEyh_ny^IvhqDyb<do7(i51|-Q1mjxe
z4JK?WJj8C!mbS998PBfYrpXMQFOxKs=?wug<(;|8Kc(Np#onHN%S@QV=y+1f@UwiR
zX(O1wu9gF{z55gQo(q5um9{9o2I#P+_qOJ=uD}vU#w>4Q7|2W#j;315oLJWIOmY0E
zEEZ8AVo`WGTW_idfO59!L#_u%pD(%^7!bF2KX|wjDC#LpCEZKR!yh1usGWb{fK}gj
zMMv|q!ey-^k~&gJ^c)3HS)pYen35M1#E;_-M6~|#8dR7&qz_hew6`%-nYknGR^*AM
z@Pv_Mfo{=reOb!-km>V9wSgCJ-HfIZCHJzMg`v=)g#P^GiV2C7mS%Rt7fU*%mF5{1
zyu&=m9@*iozI^5^<s-_EuSw|57qjf_>=fUgcK|$gn;>YN;Z0$skSj1sPmt~&suh0!
z*Qvi6!hXlKLfVs`r|g8$(>#OpWf95XQDt)$=^)P%W_dLxB*sO7J)a~OT}Oz8hE^4)
zK3Q&usDd?rT_9*ZVZ&PUtJ4%sFdEIzU^jC+fPne_`Pzuo%wn-PS5oJb{_-sO^<KkT
zM7Qt1@()P~X49_4hhSiYcaQzjPg}P^AvflgRAUzW81Zy(7~napm^3?R@3<hzaHB`B
zgn=PU+0}f!b55!~LP3^PJdx<%kk7urCpKztY@Y7Dh;I#iDPb^fX+V_Ut~ITJ$&;41
z9cAEsjb(xt^^!i5OxlGtd}I{2a9sfS0vdw}@zlew!{^sGjWh*@@x5b{&ntx7p9X0n
zc~#;ak&S9La)|$OxTkMmfDL?tCAyQvUYn<ZE_T2l!ayfJ4<BadfOJpTkXBxK`RK~A
z$HaXa)?iC_aI^vv*~#-Mh!uVw4#v*pc!?TKPaJtP;L3ricJGk<BuBCpdcmlREzVEX
z{y~Kk&uk+n5bWKvlv$tGUm*&E%Mr!Px$&Lx`T0lj`QPisq94h^qq{&t`ihiMFq!Ii
zORv0K&lCH)_vRX{L6adn?b8+3k@qZ7AaAHPVnD>hfdpC3B=TC<Muu#JWg#zbl`=g&
zoZq?LdiW&IWa7Q*aVKWLpV2@%Q^&DN7Q*Ckr(?@G$$)gBXcgRf5I=4)Up#!+UzDGJ
z6}>SUYFJc7&BM6>5GN`~WTx&(YrumCco>D|kOVy)9ryIoQv8-(A#jg6N1W;o`rZ)`
z*-a^!R;D!LEiOWUb0cQk7MB)!iGlan2dmk)qUx3E&xx<{XglY~Pw_vZkc(XNc@Rxa
z%`G(7xoNBjqos`KppvbBc&E(cdLLX3T|CeC@Gt;kOwwU5RN->}3(N<ngI$$GYoj@+
zurQJiO{Rg=AW~Rylz_qw4zHXTwKq=Rd@qH4rKmL_{WnXI{G{1dB&W(zk0~krrG!5Z
z1S#Qr7k-ydo;)!M7v0@=OL_UC@b_;}+8irYc+u7}p6y41J9)Xt0?GMo1R#rL#?v*q
zajDP*(9VHdIk>mi;9hw-yD(|7FksBJBA;i9msjMb<VUkCl;4CftUTgpjE;j_&CJ*C
z=fQ<|2~!}+^Y95ZGa_0{_K$Oz<jCGuR=E$F$6Cq<olVAIubuW5Mrup(gCEP<<(FDd
z6y|T&kz*$4R8-_JyI!T6Ook?j3KB@f6YOn+$GtPrTK+1L6WN72t$f79*s(xXmmm6W
z<@AMg<pkesO7JE~X$VM@P@pX0Gv}%P;Z-X@3v`jxA$~L4jTMyfAyo~$i}$4G-b25e
zX|#LYtK@s*$>+3aUYi{H-Oh5ZP|@Ink<;MXfmyZ!zb4OKlG(5(_*@A=Z?`wwX$KL7
z@uW=)$}JpqT;LW|@p{AEy7u<=q-`RmC#<aV$a~y=QQ+r*p*389hx0)0FAjlQ94~N+
z-n~5vY8O^?%y(>^+qGi!dEc2Le(LO$tjO!p%0ZU8%d22{c2$5Y>fMxwNLOa|z#6b6
z&tq23xtAzSVMlkZtTnL|lit5j$kjd|B7I4)WCTBthyQ@Rawz@6;!l8t;ofcgH?}@b
z&lKKF$FQ|+s4p)5Md0lS#weUa6wx6x5*lPHt|Vi1<c02QW&Ue^?e)zMIkxsf1Nq8b
z{9B+G_}H`COflWBAkLpG$~Bcw-m4UE4g6%OBOa@Z44cv%*=yTGMtAJ%jE~XMH&Qh$
zsc_O5YnIn%ilzRVV2|PThXG#gQd+OpfVfO{7m<7`!(xB$DIA_tqhE;F8a}(eAqPXX
z;S-ODiH*Sh&=Rj-r>!1)6dA8tAk{DKyWLdqAd(3g8_rJFmt604H}>!&L&_YS(Z?l+
z6wa5A#`6mc#Vz)4=1q~S$-{O*`Yhji+Ijj*e3Md**@juC#Kj8g-o9Y(xl=)sB(GXs
zUcOM^Dk|irn3Sf(O<m``G7Zhj`{9wLm;K6tJ1Xk_T)JfF0c05o@^I`fjDl%MeIrEd
zx-r9i>p)xukVdpc2@op)$5fx|-iHA=FzpWO#1mFOk2j6g>FFj)wWqNA31ROtjt5fw
zmtI_X()<((Q`{ddBat*kW8&E*59=0n{fG~H>tyeKu!6)dTGGPh=%rQMkZsp}l6XN}
z>j>sR08QUayy&dj&P{zS${`WB6rlKova1;x#SlK^D1>})OZ|cRRbH=!XkT+EWMFKn
zD+t|Co1Fo^_R=Zrb0VMTl<!+q^9bE>pC+#FbcJ~s0NwrQ4m{Nu;<yr%#wFly@|3m&
z)NxG^Bn;P_NM|I?inJFE28rS1{CB5@Y&m$02KyG~OU>m>?d*1FAXO0N{2xDREA&vc
z9z68o%ueOU@kCF}Ti6c`d2L|8;MrP74fBvDeOo0V{aE5O&c4U)t%wy-z>-Qs-A=t`
zLxqp0?R6-~0RsM*y;;kI&eirK*fe>1Z7YtIG<U74>+=x98e6m7`)dO^WD-jE64;X>
z+(&wfa+vha$jTT$xqUXiGFsP$x}(ZvCkMX1;w=FAIuj`=mq3bugNYyBhttvBQ)*{f
zX^GFz|HMp@`<dzr0eNY1>XuuIgZ!-KHA#hGQI^7az{2kBD!3&=Pc_eb^`Qh|t-^5o
z6wUiwzb~`hbri0Oi4xvqAB`|~$T-q=SL!cZu@|>a;<n>TsY<bn3qMAK%o~&E=AoeR
zx<tZ(aYUb$Ph^nqlJ9%>Nz*8Jd))P<$jE2x&>;=JHt5YeEDub`59>`IoW*4I9VWG}
z?@pV@7d^Y18?xJ$r2{L(OS7o7iZeZVD8LY+fgO5t8F8K?;|nT}Ag|ysaW+9SVs0K^
zy0d+sy2H^1TSk!-KqGI$e7ybP9IXHJUa_}g|CyI4@(Yc<rj(Bmzp_Cx%Cq$S3P{R&
z>&0X%N_ul1Jmw8Km!O99rTR-e6;~Y3<oET#<Yh`eOol{G8jIfFijb-sL-R6}kLbI8
zm$64L^yctVYQs}n&!#WVQFJj^v({;b72#$xJAp!1qkA^a3I_Y5D(50rVe!Jmv;6o9
z3dfTN>a*u=&pr-Q*q6{NZ@w?gZ}2qmGiA=$uo{z06X@;=`Vb%FD4r@prIe>8_{I*?
zd)&E!SoPT+hkkYOcL0P*LUs|gK5rBi2bjQ#o|yP}{$RLok=1lMxCq{`1RRO*rDwxx
z21jDOU0SpO{)R>&=!60ALb)uDO1z<<FGE4_ih&&>rlxo$PjqTzhzw0mD+EIzuZ=?h
zaiijQi%F~hT9nO`-vBc^s_#ey@)~(JVmh!&|6S^B3%avA0pl{iZV&gc<+*<`o<X*?
z>|%?{BjT9X)GF+uX_q|O#__*c?0+_<i8H{S;Z%GU($rKK>$+W0b2U7M4#O3x81N;P
z{M$?bNsV@hot$vwqmn9TsI7A4$GSjk`oX=Xnk##F{!Fe!C_Rnmi}zz{<9&9%CgP1w
zmlk60bE>%OKMjey8y{0&P>annrqqti%sF*D3c&~^y1y0veDiE)oBTor*GfT<h<4e<
z_mPW50=#nDDuHA6<}@3J6ts)&hBn9Wu@#>q<L#?`Q2O(FlKl^-F8%%r9yYn}(2C+4
zE3O=ygwbQN>bXnj$63kxQi(Xv?VzueOmCLrV1hn;Im$;i+$JbISpJz<Y>S}x%ye9N
zah<zSN(7v7M;`)-V$V&O7|p*jU{Vwy{2PhcV-JUBwDcX?V}RqM4DK;o-ECXt@9ODk
z{goy@!naon{o~g%mBuO0mfLWW|IxDpv#U2;0a+8$n7|nEah0}`>uVIXEomtGfV{R2
zsi*#ho-MhdzfAx&i2yYuQAC)?VA&zb3hRZ$0_#Hz!TSTt6ax#d*55?D-FYs@bm^>b
zSzqDBQ2SCj<<|mDp1DLTQz|}Oca5_bCS6SQ^R}Sr+)RG4QZi3VZphe%=N>0~E>v+H
zttt4`L&hKC+>`5tp7&bkEV+ZXKbAr*J>f`w+8&HIC07~pnmd0@#I7Y`&5R%{h37E3
zu(GOIputRI40{k|IoN}KjGCGRCH|znt^$2;lx2M`XZ@wuv{GhMYL4E^(r;U*So1bE
zx;N1{O$kVw-60D?Z#P#T;3J0e8?cSz&h=Bpb-LMPQJM5?>M%G?ac(dcN1V?x=Vt5c
zGDwBF1fbN3j&Ja-Jod<}L{vB)^0b4RPQ~mE`LiLe5v|T^2MNNHT;f-mrKo-h&k4=8
z(N#J?U;<ts66uT-LJ}CIE+P3QrM+(?;})E}Z@RcX<)Qur4=P`5Vp*A~w>K)<oW4+)
zdAqq2gI9-f_27BkO<?r|CQd1P-k^l-{y|K>zUTIzSZiMysQNFiJ-?uaKpK>ma$IpD
zwo8xt(#{BqusqJ^oGOq0q&uhSWg0x?6=xd0zS+BU>FoKDyWRL@Cs?0JQUMY1ihtdJ
zR+natEjiUJE@Jz;zb|J0t$Ax@1c5Nm0Y)L(nd4K#Vj;2R7rSQ<-i*j@4=^3p1{|E?
zqxLoiAMTPy>7xbE(u{wOtSeZT`<_yWvhnJV41S-ws^M?FQj_hhRg}c#5gwz4Xlk0~
zZhlPzaka`iy@|oV=CUqf_E`D!I@`;4R)<K7`BCDvlEy{>tx+#^Tufhfo^HHr@|iny
zPife40uaOcEjTV+x3>F*9xXT&0{H}AU8-U?5<>}Vgc3`<n_eNb?0pd7Vif-ERVo<f
zejWbRz(ql-S7F3o3q9+Rn*bt6or{Pt1jX#9|HO(T<*>8J(G=Hu+`{fI`S7N5jefY|
zMmiXYK-JTSjMV%ztm^CV!y!c9l?Y^{!O*@41f^=JWq{n;IS9l$&EdaXRg9u3(<hVV
zObRYdyjaVLAak?kHn+6hv4-@~D!YwEfg4hWr9y+Kb|yH}TjbJtcQ~B0c~Sh}w|GBz
zdDM<mE`;tMgy+&-Hj&G|9XjF7sEXP)l|;kcN(%LDx)l^Y>{;-+>|nI8j~x?hAcs8t
zW<UQk*8aM+rjasi@HDZ~wQHzGp<svq=5jvWH26JANtDT1H)q}rA~evnj_TH>nS*ok
zjKMF4(V1(#0EP5Qd~C%6`HVZ+1k_E|3GSattZGajKNb36jhiglN01XnhDWE;At=S5
zBmWtPOuQHK82OT(=dsK)s|aiTw|)JL1<!ZLLLT_>z67_GcHf{R&Rip-`AWb2!$B!P
zmn)AcsUOrADU#+%=GOn@ll}JFt|VSNKQ+&M<X_E!%q&HT_gkA#k=dnO#xNfFu^XVI
ziSxR}vlR(1JZ`+1Y>wM4tl1HiuHj^IB#%_hTc<j-wmlhsKw52JaVj!-q^(w8{?*KQ
zMka6vA>ClvPgathR7n?-(lS0>`+E4DxdP?fX_@*#Y)sL$C_$x|=S1uPS+4Z6hh%{z
zEg$g(ka3>>N|KFh5{~**pHnb()>1@Oy(z=$?D*<Q^_n9_LHq3~lc8K5BpF4b$`;K7
zi$hC}3c+&LS=@kbpD?}@Rf5K&qU>P-Tz08a!<rY(slEH=fY6d6p&;gzY7^c!a-`WH
z`GJPvu|-rP3l>!4L;F<;wK&FrO%uY9YBRI+GMDY?3=A?!xO=9WAj^sX7%pO)D?!MV
zzPFi}ZME;@iTha;WYb^GdIz5=8gfYd3Os%=(_{~=t#^6$Qyk|AXN`gVWhY^canY~N
zUMlT<B(7M0?9gS&rnb-9sgxqUC55hro?HXTPw{)3Jk?akNa7Zlu3Rk?`%M`bne~3#
zQe~bA?T~soktU2=)ae>2ZcGP0Je(;%Kd$FYN>o6b!$NFt468VZ(u6G#taJ69Yuf$!
zx$4z{gH|+uqjUXfGCF4T&(KX<=bKEY{$~yqyj4vFbQ#{hJnT<S_^o;r>UD}2KiH@!
zpCBV+NXDvD1%+TeT(O<#&R8{9vXSW_vxw90a@gM!fFhqr)4nu2a*#>Gs<)y|6dL!B
zN4@pOSXlS$QiCbpyoo$K%P4!D-SlyTuf-Nz0cjve&{>l9DvBPq@&3#0i26ZH;g3Yf
zugIWoDWQR%4$-GZ_=)b}HB%^Q4J|L=s}D&J<IID?ZAg5()!jG#B!X*@6Ep>j^AJNC
z>ppPR)Rz*_{){|pL{n8mWtwg08a5r|o09lA?u&XTf8dq0;Bg;T%#AP?6&xePU_JT{
znzbvk1tV!iwFx<M^$31Msxae!;gZy(^|%j7aL+cSU43xpCl&;=O2lPJ`DV!if3MR}
zm}7|U#1yJ=VLzT+Cu|x0MWk`>qkr^c4w7!PU-u`<eC>+%UG7s<v6I?zb!P1_eKC%Y
zo8Bh(5W;>-(^$%8RC#0vLp5h1eS6;tx;LVw)+2pFW%6d~TiDr`jqC+oevfu&uuw`t
zmqN8OjBMm!eWFF&28T&QQ!YuAIoX;~VJ{-wREitds4k^ywj=xOd@AS|a#Hm(oK~+P
z$7fY3&f^K{P#cQ8ozgX72uV6)wT*zCSf4;>?*xavV+Aj#`=<GfC}YSw5$uOryX?!x
zn_mNkWSR<qeES-o%%)7CzT4ihnNbrnmEI=CsY6cC6Y9O3YF<>VQM7pR_1$lEr}rD7
z^cb!t1v~q5uQ+6f4u2Cai#oNDd{J+`VKP~Y{z-ayETk_DImPu6saY<0GsiPzypOx#
zlC#V*Cth+*Zp~e>4`G6pyzR|c9P`0?vFS5QCH$Tag7K-zB20ZgI>PVEeSd^qctR@D
z3wheYzBi#Rua3DeCGT<bX)~q&I@!^Cy~LuUtGjvco%7S}_qj15;H(xWgyQ~c@=naa
z)368r)M7I9gTI0kOk<daamyKWU1*fmH>tkS8+7j!V)3VNu$$yOVJY&m2i9%}>3W{B
z@S8xy|2bXV%dFHj6fr}%YR3^>`jkuMYR!K6$mg{j9T&)(SDevRuy=gMafLs~Sacoo
zGwXk(8%)Rtm{n~#ofXr+LxRtYa|8$4dLlY}ZRf*=_PLXY)wbl;_AZ-jm9E1!MX=-P
zs<f_z(dJn%dSc`(QVPDhJc56o5=8r^c(lmyO9TRGs^@sA+WbuOA))Im{wB|#%#DQZ
zFA_6$-P6R(^-a5abz}zsD=D|l%T=<<ABpwaduhNy>NaD1UgC|JKEN&EnE2aEH=<6p
zN9(|;eG&F3whTW<KAd62x+u}%2L8d>1^<30SMW|eJhwLcX596Jf+D^~*9B{5{HMn$
zrX+WL3UkO_pLw+MJ1t{r^!rNddj=~-VU4Ed0oVE^-T4b}T^{l62-sZ17reBSOxN^s
zDO|lz(<+zkq+`6tD?*~zv^yqgcJx&<za*|C_w@5hqVeX3;OnP!&-1pd6V&+FVtdpl
zMsFuhrUSFLd8IG1V4N9v7R`&(a^hyQM6NsAZ&j%P)<w&G0#jF4uSZ`5V>d%XLmy-e
zQVYCWe1js0kOs3gOlUQU9zDX|_h{G!d9eLmQ^)u4dFr4A#O>+XvGhyRk^sQHS%sX%
zFHT%eJM(~%ZkJtO<i9@bUn*mYY>l~37frT~u9=E#Ngr+dscqv~=mfjcmg}Uqol^~w
zaLG$WEE>xVUgA_8eYc1u)a`rGNCRkwse??inwmF`P<L~aB}gX$RYY|7@B_0}J~Ry4
zQnx)t3Q>V=c9p6keW6@4^Q`^jC!9exro7KOTl~`yNVsMuMQVv*Bl9?^T`HRl6(;v?
zWkrM>zElX*24;?YUTCy!Y2z|n4-myRs_|vUTT8~EF+00vLbh*P43}JsJf!EbqvCG%
zsj7K3q?k_Ks7TDWM9<i7^CPG5a;btn?Lw$&S7rPC@y>-D&<?ZKyf=7|>Z^<Ih8&5=
zFYw;!q4g+`->qLu!$7(A2kQ<FF2r(xrgKh(CP-JXyE!R^hJgvu`)$z?Hg!FT{zn1o
z5ygb<Z<r$NK!1R~j3o7EUz!$s-qjk{0CQ2R6^|OVXSb28-iJMRjvG_*6<Pyv4kf4C
zV?E4ymb7hD2#M5WGvf1^{L>rvB?5Ajnewfm5B$sLB!{AKVcN(w38Ecr(VAuNpfGi(
zfoQvEVzIJX-|mnQ7AtiYhWQ0go92`0iy070AJH9~73*U!a)`fmXn2{m_><d;5#v5R
z*_A@v0*kK6&{h82!E!IMY)T;s76hdDx_E{#`LWzlbR<vdxR)2RgoirNHY>J!IV<&V
z(uO!6UKRXtA4PtVMC3{w|0?YT8n_i~5zH%q>{+}q)Y8}YN*i1w_@|-T@DZMhy7#ej
zsU$p+IjjDDv)P-JRmU2WFc$!>HlZjF^yO?XG~H@|0fG1*I{fZ1CJS@(hWp=${dTo9
zG_JX#Ph(kaN+-WOw3?N?kScm-8b34RzcJEbdU3uKJ-o+@tEf$XeTqY#uCLO<IyJ~X
zw4(d;s<M;wtNUtzOXt$-pKzjWN-sm21bd6U-K_z=Fz1*Qrg!Oz9beV^3{N-<AH*qy
zn}tgz5K-1p8k&)fG(lb{aw<vS$`3Y=>&!)KCfhWSrE9jwv-z%k1+eZ!=dv?vOw?E9
z_b?1P7To!#ay=7<=B~5brG-OXaTnpky9;Y6-n%*xyAl`?lqlHbF{v?(ah=Ig6*K{@
zvN5lN@omNAaWOZq0>Z<<lsN8g#a6v&`E<V4m-m=tHmT}AiSZnA^6v`W6XwqS4;LVg
zi}F?620PB1#6k2_*U;A_x1IS-!#BeTLcRXs_+5Iy5BR#y>|Eq!L{_C>xb0;xS~EhL
z_j+;m!(vtGd2fo179+kzKV(Q6^3Hf-brToegOR;1T)A6VSK{G12W~EnT-|m~;jx;X
zxQa#T49jvf@W>aI4b8eO_TKfv6(JOzkD+wXO~V?5*HNTZI7yU@#vQX@jJf7($Ab%4
zDN}v8s(}lf5IUuxAm=p58>)>U9ZY_AdR^GRF>>#APaP0B4xfuha_=#I5i+I^GLN=R
zen#%l@x+b=@w@ZGi;0jj{|O~~3Yh$2|4GL~huUYsF=5M<GVw&*flRv1F|XYBSP6r>
z*5yh;pEJ&CB)i{y6#+k=0o*~WzW#oZPcL4Sw1Q$oFZp90XyC*{ys(U!9$wEg-UkXa
zNB1cK%lL_(Gr$C=5XULMo^4k_Se*>04Ky@jxgK808z-Rc^s(5Z2Gaz)uuncks}Jh;
zC+Nxy_p8Lm{?LkyX4t<#$dR|a5z-Q>r77&Fb>8d0g;n4Bbh03e3Z*ZIhl^I~Agxr=
zgQ`9z6TRrG#wx>VDyg77GQ<(%51st`>XYv;9DfOVoqVSu;b&#`?e(~1nlI?&nWECB
zq9FQ1iDp=DYCfi(gGC7~i;CTw|MV1>wM(;TN=o`d6|z_6liT9)`s&F~GPgN=Zn!y$
zlICMX(8z(q(lK#{)0nPw!TSJOtMs`}IJezmEUH`)*7}usfd9f4snZVcZ`OC**Q#b(
zVKm>xpSkfi@Sck@Af@gU$gN{1VKJ=4DsgfYxv|CyR|%gV_<dO;Lykv+@Gu<hIAG#f
zXCIcEn4$}gq2ny8?-n*?0{PNGZX+>n36dFwdLIpoZ4o_vKP?p0N6!tZLVxZ#RRO$)
zbDw_P36FKk7euL=i2}3YtAus_#}`)Xo)Nv~GyGj2OEpv{s4FR+brB@*6eU$Egmr)Y
zDc}kq(%+}-Rr}x1=Xys;YCO9r*BNo=Up(HFA3}$G`bBv(yJTwV$nKXkgSGE9`zg$?
z9;byv`!H>>$sy~3K#%`~&8+L=#t##<e#R~bj%=r^#5W1=J}V6O84Aii(Y{dY(@y-#
z=#2K54!KmzgB<Siwtc(hSaYQ%Pnn)}$?o;b=K-K44J`w@)d0cwP(jIhOeG&v_~fC)
z&y&iQax#V%3hf1PuOiJSAFyh|rE@h<RtpmCsJ@<|ES7PG(@HV10}6@dC?-m}M(D3!
z&5;ZE?}DihC`bzHGLq%6Xk_S%<!9W{NN>94@E^7uC6RrM*6d>N4@VJtJcH{0S?`Da
zd(I(zY?gBp)Tx^2Iok$Y@3q(}mm`{cm`tf3T7AWk*9>-%^#|~=C1_JFUZAiGnI>mH
zmZ|$JM{?l~*{XUB7rx?_TvwvO^5uR)_nUg72X67(D(TtKu6U3`4lXrncIThiU6+<e
z4b%~{i88AyU5@Bj_3?)IU!HSe3EyA5`b7FDq*@z&HLy$qnZ}@ubmZ!rk(7Wo15!p?
z>hlv+K<3ucEVF2aTO^O$qdzREX^8Qt4^SQVPofR5lOb|B$hntZo4v!}SDu@JW=Jk*
zBj7Z>vFEk2u<O2F_=H;-KOV)tew3yCWDY$v;b(H!!NODLt}jc#^l4_44fI^w1KFu@
zu9jbjqisI?7XICzc2wteNNi2IrY$7_W`8HR0qG0B^{k)i3*$QH?lSA3>C)QJbNanj
zJS-qz%$WBWzPDDUf-7H;hF-sRN&q9FzI4o??d@)}bC5o#51=JYBr_;69qtz8S2hay
zzM6QS>*Af~3Dr44x}HDVh-zb-5bt?|*R;?XiQo4c#SUE}Y9ub%fLxlZuOSU^c>Bq;
z_$jQ#H-Y=jB0A(nt0lH=9A5wPQ<CPv8Liy!tT0R2C#I9{<eqnDRm~0IVGdBa8on$R
zd;kx>#32r~UmVlRaK&J_qBG~OzySyBRwz@OQH{bn$X8OOQt!JnTg#J^CNMJuB3hd5
zC>3g9vP7kyUMzp$lkG8Lq3@bkS}>^R5X{}mH!i}I#Fc8Grwp(7EoZ5`pgHrjsy5r_
zv)WVaw&hXQH?bmkPe*l&kMP*J5i`FzsYr8suh1;|Dfry?q->$5h{6|4CUb$r+|LyJ
zUhhI>t!#3QLuTd5k+c(-mQZoQWl)msa1h#>D%gW;Y{P?#Qr~>xm9kkAHxB*4Pbtmp
zyDNT*cb1lCk?d@%s5u%zBEozBp5AQ9F$YW0Sqto-Ct$y{;BrRDqUU2Nc{<LFD1t3t
z<^SU9oT4M`!fjnKI<{>a9d_7p$F^;wV%tu~>?9rAHafO#`_zBN-Z%TAZmQ~{#;EbF
z^{%;|IcNA}cc4qFx+a>w!_!G`NO;lZ9~1GxJJ7Ndr#)6W<Eoq_$vgSuj%&40VBqB_
zPKJiIm%@mx9rkwjZfLKrd~a6}ofM)5WUNnu7l+p%{@zYv9U>@)mF!Dlo-(*l7bQC3
zJWb{_Az!f5(ypIkhyyZGJ$x%TJ25ApaubGcc(`dm%Yge&^&j%#k(rkLrC@b;cT<uo
zAJsHPu?RtPXy&PYoK6D9qKc8jO`3mXC-t&=#Xwu5<9QVabk<xyV@cQIlPc&fK{jmy
zMG}*!|I!C6>#aGwJ+4B3aUSIW-O7S50Wh*G5ES!vmf2;F@)pF+q`?Wn3BNarh-^ku
zRSx1Y;Hm34vON1opuOQZ_+aqbIoq3lW)Q5zUhyo(!LO$;)_*Kkhjv`FpV@ghPv`c?
z5A`8*Ogrw{E&nYn`SkK9HV$~|hoLpX!3-w7xs|jYrBW5&$jc4jc9A=zaK`{WQji*0
z^VwCUHa%>)>F;`e?{7tr?b&q&K~<Ef#ywY8c{GRs3n;`dTGy8dkh0fqtSLNV?JLV>
zY6dRiBUM~9QxBWqgdp58WS}kigY?|g-%Eo)IHW*Su`f0Uo)UwM`cNHAm_-2TH;o6+
zI%{k3Kt}(aqVqLu__Z@{WxfRP8|&I=90w7xf8QGa0IW4p9?vQUt3S~!0lo=zU#fwe
z7QU=p6DrC~+dLV*7dRnBui~_n!|7}PcggRz@C^16QyCrg6wLx;aLzcjTc7qlKdrll
zXW>)+g06aQu8B_>A;N_J{VNmKAxp<5B#e~XrZkUsni!q?TOu(4#xMA3HqNftR$&FA
zT9BPbkVgYtfoqCLfOOZdtb`4jM=&VkVorwKX{?~AC{v)Z+sD}ikC9EFZBHmjV;T9r
zW0mD+BRsBc(ZkrA$4oU+VDR?G4=d5Z*=?CMTrAc$GdUjZvZ-v(xBksU|6!rW_$^Mi
zG4>?|x~6~}MbRj?uhx=Q{$CD~l<^OoZ`-jPOz87ha1d-9jZJr-zkfFX!kJ)dkxC*s
zrOZ3I!CjEv@g)m-H?ilK%N?}kJ_!FEc3Yk<lfn?*QG=ltqjgY`!~SXl&CK2bICsY*
z?|#dA+Q5V41c;@f!=gMEoV<(5Zg!U<7gbeeQEol|ZF5FiT1Sf1)73U3=+GQ?Hem6_
z%TjtHSYy~C+f8UWIZSn}OwxJk^rAuO*hDv^fA5Dg5oBAGCw9I8Am4T@RyzcJ)L0B3
zjz{8W+c=yMmPBM!IeZ8@QJS2=F?lASKvJppoFBn(P0e#161WUE|H!$@eNP^UYJDZE
z9<;u<dz5iJMnL}N2zV-VB<|htTbcX!TSGu6sBf+T`r5PrT&c4lzWgz0C#P5rP?ym2
zwkS4{_dS>I+;+P2a5gjUgE?KFV%PUDVzVosc(7YRo@92$it`$eHK}*m>jdRPID%V?
z?fG*%Yz>UxTmU<X&re`Y%AyKPV-Km=pEGV&q9jKv!P~Ip7~s%`!nQh*yXUwUD>F5G
zsPGu5uIBr&(%u1-FO-KLlnT<ayaFum#~2c(*VC8(xdlv6NpV>QZJsmste5X8a@dM&
z6L@&sAAtQXFJ@G4xbNC>3baspmQjn^Bgy75c%F7^cQ95AILN+4#;G%@9+V-c_c%~9
zX*I(0qJ=C5%@Ah+Z%i~<*Y*0<Z;>zA@l=03L<AvHF@JF}Zw$LYS)w}Y|0fh}@jb8a
zdHV8WUC=q9EO1+256K?Gk5P>TvWZUUxz!xtO;;gprExmwP{fQE_x|Da1iTEaeZ5~N
z%ruL~b$OUf`6}o&d6*7{P}0-qGUzta8Ts6N%b(PH%rjb?YY&plhE}IAV@C82MMn*X
zO^Mt1sKJ&KVo&aSd@+h->(H>a_2qpJ?8W(!zYW2~(Yl&TxgFE>kXvgLHA+ujht4dc
zaQGr)v+a7l4N94Goog>(Xbx=#-qkGE?&8Nu=1q)G!rT9dYCfY`P14IBK}ijZ4UywR
zll-I{r60iY$oTy*J{n3D@<&XRf0=~<Tbh@Kwf6?0L%vrcLyuyc%_5UI<#qXogWmZ$
zjYbcE2@Qb4NDLf&N$QDi30R!K5;fC9=vy$*vX@Uv4hSj_Odk_^{>{YIgX-Vae#UHY
z4bGCPEidcIvW`W?XZX*g^5BXgaKU-3^H0g=R`UYKJIgCiL@Zq7aDb)z#GTvQZ6kSV
zRaMJ4Q=Gu8*2;#sDUZLWWD3i=m0teO2+;Pk#K@%Yu6BR3c!>V@;@QzVhat$;EpoYY
zQ85<5jR17>@ZNP`;){!`P_nEZLeke~0EP_#$P6>J@f}J!5P1lIfGb8ww`n+=^d+U{
zxGss#r~dLDU6H9tgL-J=s;oi*gJ2du!S~qPu@dw`_2(t=N*q1yJ+miF>^2!({i4xT
z<(y+;Rs`=apEYYWZ{MJqg@v1BQECa>f0fKqMKQ<H_uN@l_v=EKr;3rz#_0jw$M#Pv
z7yK@3V$d>~+`|Ij!8P0;Y@8Rvvi;kAk|7H5_oO7x5idOEtJC)7l@zp%TZ6O}{tTxL
zjL0MaC(0S1YKZSHI73&88IUB-&$7OpBfy1%<Kpqv(Ubb+5isJfI1AIq!5ba{JtqZ7
z=VfXF&YSe~tSu7oow&DiOyshRVf((<Pa~~+7c^cF44?7VUKDn!?*+a|NN;}tJM^tB
zi*QS}!s4N}!;OD<c_oOhaLA-WnL?W}6H=Npcdoeh)|Cg0&j|qd&2w4%$Vv^DU%n}`
z6u2E*tH8tY0{{aAT;QoyW$#3drktP+xJ6J;U^<uodkdPq=nkl$aEo}8X}wgTMo={D
z{!4)M6Mjf32nHx{-_oXo(>Jk2Qh*8Q`MxGU(->ISI&fe1vb>xS#A>zdKNu(Q{Llji
z6K89vfygXx-;WyvvwZ{Xd`TQN4l^F<3D@cSk0I*5TlsNU??Mh>F-*|?n;)WYXfoDw
zX2R`6w<$>;h6IV4uYZ*tcwBEM)|3@RL%j`B+WLs}t<Dn2ltJgBw?h!e0t8uR=;>Ec
z<1hF<2u<7p+f4^&Vae5AgRJpmkD25juZJeXkjwnW$NoFqx-LZ3jOpOk#3%lm)iC?#
zuVVTBYE$U3j>eMF@(zFYUA}fnLe5<vm~n)<ZXapK(Wzw%Xo74ZE{`3_0*8wxBNkG?
z0CKQvdj;xulRIbBw3%0N6>+HNr#YE2;9cU|VTrVS=ng$O@0rJYN;5*~ibV2h1_nQK
zNM}*xb_6=f^L#V2J8i%Yea78n4TezYMl#7f?etsS(1L)HGwxz}^F=YnKdU?I!^7Q(
zggw?xe4F17-yazV;~_fxhqV>NvemRQ*Iq{h>x2v*b%V}tDPw{r#H3+`AbPT<fy5TG
zXn5uk(dk=ZjB_k51sksL7}8?FV6D6}>s)wau`kDiJwngOfPglfpIkid=gR`CZT4Ci
z<c68dc#AoWBK`1GUNbBR+MWP;jPOOm2cOW@$1=gmqdPcSC><q8tfC}@Q^E?d^S|j^
zB$N<W7wUS?{fhn2+oexH#`60^@pu*N6EJ{lQX#*`NAPt!-in4<X@m{F1$PBJ-U|#^
z3s!V7?UGzR58N;4O{DGJdigv7ulNm6zU{-5yqz`@rJ;@1L;o6!{Zw+kqx4@{6~-)r
zx;-3^pgBS!{F)!4kZRP$I}s1ktsbwu2SP0ekNFU9TCs6>oX2YAqrvDw7I<;o3Mp-$
zR49B1^<sa&*}Mta2-@GcVZvIs+ii3Ub$i+OTaN1FRdwTVlnD8sEQL;`N;TLWhpOsx
zKX&4AyYav?v+)&Z@mY`tzdw*uK96=TNg$zp@pv$A)yg&%jEv1?$FSJi33x4&m<|Xh
z?%nKnYke|%Y#(|Whz94SQPR_OPY%?qVU7;42CeC7Ca}&8V#@{mEAkcdf|=g@HJgtt
zK2K#ZmCP#SyCW%6yE6*&3q&ma09@nSa*Bkz7jRaLQo#Kk;`p7%V}qij<j+GURe;Ix
zQO-c~=3KYhWwwq))DerHhJ8V?am7!>kML13V~+X|e<pF(9Ws8Uhol{ui!iHz%hNr|
zxt*Av0)c9cL%3d(cb15YJ`2JWCl$~?KSD_bo6aFwdasFJ$Jw`-Vg&^|fO)8Z_`I~F
z*L~pu)@!Gpp7HZ4YOf!?19?R*ohqn_A;A}m|0c6m8bRFHs`bR`q3>JYrW7dUJLBk&
zE~4i}Cr5w`7)eH+%iU#L{^17FAyxEwLwbUSGzqQ?wK1hQ7S!mzCe^o80ore4pJr(X
z^POQfh>UK3DEWRmyP&3iY(<=6)lYJZf{?7su&Y-1`jTw0JM`a}$sb}(;S#oo0@wh5
zi}G&biL)Zd-KVApb^+{BNDftv-=Grpi94@O>rTBZkkiE50#sbh3=+|&N5ytPROBA$
z?LrWCcIDBzxu;k2lnyeN9D$J8FIy0dC>0aJhX!`S6J|MYGZZx`X_Lp?bOWNvWgj))
zsM0RTQuYA!YYp@_BeO&0fJ3QNWOd*oOJ!ThP7a|r(#lv^$nxvSj$(MKsEw7)*IRZ0
zH1is701s~{g^a<@(O1KYY1d4?Y4`GRF6$-7`gMx)b>oUTvwU%6?-!iIOi$Ln5q$`@
zn;h&>clnk{QOx6Z@z2_)QKXb;A)KeAWwm(+-4_1-+Rvfh))UbFbD-;NzFX}HWofZI
z^oX6RTiKgAV8Wh_nW~dH0^whhy05}H5k(R@*}_Wds<;Q}$K<-sq+hwZ-bt?unRFXI
zCLTaJwn4-QDbUV`Ho`p&LOyk(j>GZFaet)%u&!Ea?U+cKQ-3=g%4B4VNZ2ir!-3L2
z!Bq4rv~e;ttW=!QNkX?pgT>+JzN(HQGKg?MRXqOmU$joG<XsHnrdj5*(m1z!5Stfi
z|C84X(GPJ{sBpG}<a=Km;A@u4Ti0zyA9M;b^ANvMY3st|-{l^wM5(LjYAWg7w1eQ8
zFg{RQX$30_>GLexHPJtz>H3%EuTcASj97DY<%IVD-@Y};fDyNM(BO6HWig3=7k2bC
zDqy{Cna=%IWstlLix`GaJ&rYd{B-uH_gBO}r%AEBEBa){*_k{wbF?2OPq5bBe!b&&
zj}edIu4Lg|NYp=$(}M^V)>j2~uYU&FoR<3;Zl1<X^4jct$l2k31n>Xw0l`1eCrWWq
z_j*pW$u3s2Ba9t-2Ura)Va>4iB#>T8l6TQ2s-xhaQ$3(I6oZy5KXth?-rMQ}nir;b
z77i>h(SJBOwD^FA(-D?X1A*1b0r{Y(a^iJ|v+1rIPX5Q=cM{-}Tho3&hQS0Vx`UqA
zZbt36A@O}}6D6DgJe&X4pYpT?-@WKu*{~DMx>yo}|G?Cw0*|GjZ7=oLW)7{KiIH(V
z@x?E(SL_5|@v<7m_i#R>$LN_`jZITJ5Ban0e}hEjpoR9cF3rw%!@p4$`mU4twGzPO
z=$4=W?w2iz^v~)wD?C39UFD}C>xoQbT!M@uZ2=EYTK}5m{hp>wUp4!619U6*2+ose
z_fr0J@^52)J9HXuc4MAkwU&4B4ymIslsKfQJQC`HvOBg-n~S3k@lS%a*L~$0H=S9A
zTzD+kga89lnS=A<Y1C`tUgf4AZxcCfx7%{Lb8|{*OJ};&!DSQ$2cUui2!5hz6tW7F
zLvD}-DDU<~Nk1HE=fR6ORml%_8ypY?vS+5Qfx6@LVI5&mbwRKmQO%NeVk@6CME^B!
zPNG|zD$*2fQyo77$=C0NnZ3AVT3FB@WQgZnPfpZviC#izm>*Yw4QUVgOwiAA9>fPx
zw&`mUo&0*~;40?8w6u(bo5X=#F*4MTJ9q!~oiSUU-W9aFs&9SS=tmdH>McgxK|hYR
z`r{g!2d6UV$_p~q`Yn{ItF3Q@DdK?g>w2K-sbY9s-o-4QES2`)wF~LL4c~OIKqX`B
zTfj!YPnB%x3}lr8o?qWjKH%Ql9Tv9(ONKAdg5JbR_IZcjEc1u?uFoZ+Yq}09y}xYD
zFQ$Ng?}OZg6=qKe4dX%TNo3dn(5^O|?G4f=&X2`^-ti@-!q_)px68o7uMo)+nyZb6
zr@M<kz1i}6{LwF-0(rN1ib3)L?x9Q?22<AH00|sOj2K!C^{#8!1S!P0zVk_`Kk%TM
zptTS>QaxQ*=1Of`2@$6FCMFA`dC@2+X1AA$3eggBE>*un)7AIVF9xZz!MydiW9#yp
z4dIeQ$Ki7HWDCX{uL|Nuf-NomYjrZfS2P(%!mR-a>vgt+_t-;N8hxKIcqgI{If~{Z
z1lVcu;D7za_+8c`?uHWn|B)8l1NEtNe|mGV^OQP;jfL;mO2_SnIGuoPhrOHiA0KZ6
z$&`>_ZT<U=jJ0E@ixgV6{8E!oBQ`Bbe{EIx{jQor#g@puyraiWw_4GLr8y=vzU#pk
zG3=nKI<zp3PeEr8Pa1yQ%?yD>gkCg;UHYDsy6+VWb;RU#)J`d-DG1i!`@UX3^Ic_g
zcn|`chI|KnVfeBe#@NyYJoJqhTS`bf#HtZGB4tG<zDo+U5?n|i83=E6+<_Ua7R{#a
zk(T2DEG90J5~Dn`w!(4lMt-lUSLaY5&gHhYdxYiiy{A!UI(wUkoonp!A0<L4HcP=0
z@XmQ?A6vM}^*82Set<u{cW+Tt;SX9uf@Wq<1pcbG80(v9OxAB9q`~1iIw@6U>1emL
zh&#95@-Wv-5S{>*`~FuO$U-2qR=q^<VKc~Z65GeZ<mGjux<>T;a(XUtoflO1x5?GD
zDP6he*YMDzF!KN^L=A0HZ|xddpGjtj-N*ek&Ex^GfT`H0ehw3MIkFHW%Ik$KPn?Tr
z?Vr8$av^!8`DvB{e#4lV2P596y|_knyI~&lrf|JUWN;ex9#f=2s=;T+e%4Y0wC5q2
zZc5>+K?FuLDJ2#LFU>xVu|&qstozX}hV%Pkg5|3X0T`lAhdG=h$N|wFmyG$7|LBht
zIgYvo`<8}nP-&DMuDB1VU*?M*ATGx7pRG}$M48#EbJK64!{==Ak2iqdNI#GrWY1&(
zTtfh${aZnHOlmrMderx>!m_esBiaK$fC9+tzs-EMRP)ua!JP~()&c+&#RLsSaFwT2
zSA0iaZr&^ByRw1sM~w5`tKbB_Q~PyZ%31TuYW*u|7tUJDHYJR*q9F5QF{!*+y>cMr
zG=o{)Y%+_vz2mpAd&pY-X%>9we9m7(-XPzQunoO>3wuc;x|$5*EGB>V1$HlEJkLy)
z=yI24+KM!*Y2SG-u%u0V{xZZzPtR=SWz^sD^*Q<Kp{t63kjTm<%mqur(7vOj<Gykq
z=KSjSwNfq`N`Rch1Uider%iv{5I|4o@R(`HW}JOGuNeC})jNJPtM7iu1sMBH#@qfV
zg$COx%df;-cjiq$eA^lW0<LlGn$0HK@A=_Kwyr=C6p7jlb+Z)IJl-}e;sr|V^`@Ks
z7)*@sVcK<dyV4lCC~Ye1f93tU1yenrs#k*w8#Tw7I&TW@<j)QkuiLxTzX5nwsp<JM
z9IWl&3LIwJPqlK}E8J_O0HE%*rY^g&k$~>Vwk?X!Ynz;WZ2ovTi>wTb-)`p~Ne6Fy
zd4xoa2p{zqjfmZkFFwsc!RKs!-01ETVGkDZM?x>3f*?vfzuj$nyQbe3pUlPr9=1gV
z1=y~d4oY{LAV6Onaez(sifhAaqp|6`BjTw-HPAc%q*61mXEA6=%mg1Hi8pT{XlcEU
zd(As2^9)yDDbHoqU;>ZZ1_K3%pR4<1Zp{5NoL9zW&o(`<K!?qFmjo~}ePJq3Ji<al
zuQM&vZRP0Ul!+s$7R@^}vpvJD^lb09cKaZ@Z1#;VggY<zTLE*HwvnVP0H@E&6k)Ss
zyg0;L)cGJn%;C40=p8Dn{UXIWuR9jiG7j@-)tlIUix$(jR3?o2u~e|0_)lL3?KJ5c
z+JTvX+4iUlPLENuGnXH|!4G>wNMD2iN!&<^aD>!#;^B8JGM*EPYfu2f#{oN-0LxDr
z&DJK1o5)7)^9o)b@>y|)M5DX35Fj(P<rw$Z+S9^XbxY4*{yT5d@LzRxPB%@NucjZ?
z_^aXPoy8yrr2$SA`IzU7TF}x!3`k4`(Lc}q|J?(GPOXUyJLAU<+2Ka-S^hJ--KH!l
zPPC+kT>#ykZkVKfK1Zk}5pha3qnjjZvjT*b?$^_nvi(*`7+PQZJeslTdj4)Ayo2>1
zlt)N{2~W|zWu~h(A+lf9SM7>1BQa@yj`5PHNTyML*rvKET@hQxO=_d#ju?|}(t>`0
zYW=VTJ$dGUwwaCFgxDhG=x9(gBbu;;v@bXQ{p({Uvr%C^1drdl%$hU~QVeCpNC%T9
zEi7qbUhl=lJoP1b`^KHL62f1ZERJ5ZBaC2omk+)m+eSj=fWju?sE${A4KyE9%@KCg
zYTj|PQBBjPzR1JD=grPK0T2?@t>1PEB;#x2=?V~U*cC{9xBK`zR14O|=p|Fvm-?Sc
z@&7oe0pHn$_(8#7pR7<6{^264(?F2rByv`L15_RX2FQb&cRSHAeqEk-m_DdC_PdII
z{a+R!_RDgdj~j$(4$g$}qkre}`PFTH)osai>r{1H#eneklF~hBwQXuH_kuF)Otu-3
zmMdU4!-y@{Pnec%Z>Nr%|00~Ni`a(ZdU%C#j{S;kpHLcy8%Ut6%mgwH$n~@?>3MB3
zgPa`d&JGDOL_63BhBk}AO(%g;##pUIIQz4!hsB^7RUVI;X4b*`25MyV@jl<oQSn#>
zgq>s|^p|P>;@D73Zd9;)v;m|$Pc2`wPHvHj%o~uIBkG1OkBB{uX+GQmw%e?k5t^sl
zoGoyvmBvV9?@*`=Jq0r}weAY%@nxrio@q3in=-Pt)_f_^zsl42P<qIPYCstjby_AZ
zNND?WMJN!^``}{B-q*jLy(T=E4#~KH<AlUlgu&ubvP)FsWc9&crbt6x5yLM@!v;sW
zg*%TDumTi+UB@@yY0cS=&B(mkwszV^#)U0CQe^sH`LZbRChS!{dIVXYtSWo)bB1O>
z`2)MjCFJ}bmZ1Dn=MWTkh!&gxu(3*!aB7fc@GI9YA9Sem1&p5H13<=s&ZR2Nq&i7a
zZ(cGe)2yM*P**C`3<J=WH@-^__a5=M5V(I$wri;8HZhZ!|8P-xkL5!u#}b7W>}EDn
ze11YyMvXk~Hvmw0N1)Z3o|~Cgk7t|<*v{`!ni2{mcg`JD*L1g#MhitHfNVH{9xsDc
zHALPFVnn+X=F2;XZFs7I!QwW8hO%K>Ts0tRpfQSkwp|3y1^W>rpv~q&`nwX0*jO09
zJ!mf&?VXe1Ky1D|_x#oc1*1RAPdnCLT5Pw(H@TvN3!D7FTdk_&C1JR?$9wkOC(6e^
zgg#GYABydP$s<Ns<gM*ul<R#Dzi}Xl38o|4zKDAqwn-6i@B5j}NBW(F*gCzH0ond*
zSL39j0#0JaaM})kV;_!u7`&%i;gMI5(BE_p4-sN#wz^~x$%pp1cYJ&C+L<wMQLE&^
z?Jv(ckMRVkRr(GJ34kK$Xx`!jvj&uJ^4?QTldUIMYdx|6cBA5WXLSB6Ch>p4z0<~{
z-I~ga9o2kS&kv7_2ZN}2S)pXR1g~App6bvQTw8D>_V+}{HJ5i*xw1V=JaM_;vfduA
z?M?MR1M5J^*(CUlrYK>d`Kt*|MMxHiPL6uc4dDwjeBKh?#K^{OTVq?Rwt8P@S)VF6
zB_{5*bz^S0*J-u_rBK_)j0%u@zKW?s);jS0IaRAo%u!Su-TOYd|EId#U4fAE`lTur
zwO|x;57x(8S!V4+s|vE~fk+8<32oHmR4?77UF1E`=;M6ZmC9eC()zR;KB;u);7LHQ
z5;K|c$=-{tW0J$dtr^IKz~$*mZQ0W38dpzj-=Wj`Kuwt@*UWf$<~-F2yrb5y>bz3N
zmnQ1|bG!s#dE%Si<auxSbpJSbusZ+f5G+6CS=f8N!P?*Fx#Eg7pD{Bt^pwbe^DfBM
zBspJTf*<P=_4|Y~W9*azTEE<d_GSt9oEIx}Jv>pTEp{n;TNH4_bGuIXH&2*i==r#z
z3LoKy(idb99vkm&>{<dGjy=ZHNq-~(zP%0VhG5bjeDuam_m(*R7rjuqboK|}&<HY`
zV)htY>e1=_D*NTVQY`TjcvEN-2V6O41_z+n(dw$YJ}J9<^@m!i|6A6?5gB?mK>?@_
zI2wYS^c{>>zFZ~u`TB!@6qK8?>H@VF!tT%bpaC3~tJ%cyNpO}!-@8cq3^p!5T753n
zt1k~mMPy{~^`4!}Cj6PspJX}!wHA_-`NIGka0ako(qI6b?!Y%cD;RtU4Nmj_vCm76
zl22c4-r5Z~zJ*m*5P=|KnRJV9K{Zq;w|8$;|7JP4_1l7NY@>+7CIVpxB3WTr<T;s|
zH1*`Bv<@k8(uVFDOp|oPt(C2}7!*vbHs|KPm$}EnI8PCTn6{ryfr58{l_>X8b*`+z
z4_8j&JFV$#TxzFnE5s*noG}}BM{?bCKw%=T&JV#%?GHFV|K+gLmoaX&v1yo$LvxJA
z;Z$aYQ)s~RLlZGr3$@dq<<ka}j3cM=Mq(#5O;(rAKBr&SsIXl!huztge^!QqmLv>$
zPq7mMH>{kBcv40!N;iAGl<>fz=S)8NI?N_Blkd&hLa>HaQ;ZN#zZfZfkK?mN^`sDZ
zPV-lF1~__S1kJ53-=`4SU^=<7FU6Y1hBLLbh@GaUaX80L8LjB!@FyGQ1m`Z0@DC=3
zYNDp|ETmTdq22h@Wf6o>pX7FxxFp=QYM;ZHa&qctW4=!ORg@!t3w6pQSF~otLQ5s_
zw%59Q@HTDzdt5m`-EvZ}yfK7uiJbOW?<fkh+ZIT>vl&a+;Sz%4AMK&SzJmzeMQ*;N
z4+V^}wOPz!;z#Dz@vuu?WT#q5u?JnlXeEPgwmEVvvY4QV2PaHRaYJwX_VLu1qf`jm
zi}R2}1wkcPQt53jckK)DDVU~%VBw;A;uxCuvug||=U7w)yuK5^7#QGjCZL=L+M{5J
z)QzC9%&59&v2t@Hy|2F;x{rZewN_sVWVE2W6dhfVAqPEboW4)1pfBD_IJx&0XEJJ%
zFhID;dtKK{MizM6X6eJ~RJH&Xv%PH#73&uPF2lU|T|(%Iy%z_S-%cwly78Apw`7Ei
zX2$U*t$7@7`!Zi$*Zv87eVUz$U{W&zTrASeiC8o>{JcHbdt}C_oi!Pt#k-Le;IYnR
zQ&S$t8VYk7e?7<LTT)KP^<$C8z&)n%3SOXS>8=|9Pe#p?6#!#fO~6!WVmi1`0-wGg
zn0N;}mqDEl@s1mdhbY*~GBzREkRj7Q2LW;C#N^!0p`Lesek3~ldVleNPYVUl9EmSV
zD=X!B5Qmkf-eIvYg0K#%Onu)uzCmaFxUfP5TrDhUHt~WEfJ3*jvN-G*%0scRFn^1G
zC*=GvwExqQZIcW<d)-*G#^;j0mWSPR+4=_Loj<q8ogYW{>Ef+RqLc!`L^Qd-&=5z3
z0d@#}n;6s^X8>U_?jfl?v7h*lw|#wmI5l6OaJM4}9zsAc%Ecqy6>M;MCo4h|q*gT1
zBm2q&E#xs<-LI+luoHC2w00dlF{LE5o*8m%wr)hmKYj|=@Ker$Ss@ja<Mh*42cup{
zfVw({n!3h>_|QKvWb8fA6w5zp4=FS7Jetk;M<;}UE-Rc{+@+T9b(Y`#=_6he4zYl9
zUR?QB7WHF??+??&*&Ajc>@H2<FRAqkI({AaQ_p>0T<W%>^Dj&Ea=b$ZypDksSr_|{
z1m?n^-r#v0D#Xpz>9ZrrH20~p{Pgc$IKmB->8y1v*5oh&8Bd`>g6P^grCy%v>HKaj
zCqIAZIh%5d^Lvc`IY1uag8@jy-~@94$sp_*CIHLp@;E1J!my9MG9d`f<bIQ;c*wlx
zB(6-|9ETbt76!iw=5=K6V1`o1bC=^WBNNE)HIO%PBA}J<IwF;`qLBt<y_D2dK!o+l
z!;=0JC?Tw*v7+Ks93Ye7ISNYB>dyO(BN=|&R8c|a^s2D*Fx%@QBz)>CCgE|{uK)uI
zEh$w9GzcD)mije^*YO}37pHOEpYZxSWa}m)j+&1KPA>uU=*A7EP4)D25NHgM&N<xI
z891nsH1{{AGsC5DS`HXY5O9-GjqcOLO<C-zK5T}jQ_4+V<Z@oDkErE&xWDd9O_vPH
zV5^N=36gQh8Qqul#+P933i=8*`94}d5&571nwA#zTMbr&?+V6ZJxgAnE<@nRLxW?;
z28wtQpOtW;Ee)n%0BFfG*EByh_&xelO!2}OM-2LPq_+r=LEnZVKgjtt`UCQQay$UV
z2Cj}Iap7O&;G8D#>1L}Y0m>A}NeGXeYWH<{x3~a0xQ9^Z7(&!&Tc{yFQP3H_pl4Dr
zP7w)U$S`FEI1eK<k761=U2b4;Gl6)hsrH<toDh&cM?1xO^7|s2Lkg6HHF}GQ!braB
z&?6;U2jV(q{BX9HVszT~*tlCXlpK~EKvTw)YOT%C?<caosK&UBD28Uw&x@A9DYsvj
ztVgaI!lL;Kp*nK1L>*WKYje&*pFE2+C<mnc7wdmX3O0-SIXvsUXz`+#M<{-{U79=<
zD^Itu45NEnE5)T$!HKwOql0aG$k;>s^P)=xfN4ub?Q7K^6HxV2;Ir0!!+6%TeZ?Js
z@9+2Q9jkx~{9?^vxuBA|&8O&@?(ef}C39L1v_8yt9?rzVP1mgbEkxxSQ6!o8?h9Vs
z{SqP+idg5?UU0E|_tGm467bTqI~j&{Ns%>yBk$kO_-?;eysvm@WBF{~%TIF~cx&4k
z@HI5t;MxZ$$x(iS5A-p>>%kpFGkgon%bq%!@b2w0_?kKjo;KG;GS|lPvt1V7waK%c
zN@ZL_V~cE}ph%!_(pl!&c=%+U7a*)?^ENZ*s{Od$sb}9<P~`-@wq8Sz-h!qD!|lKN
zeI>3Katu`XW_T30qR#51^%b6?hL-XhNF*~Al?^-HbD<MW(#3FY1UxooHaGSBA+NYd
z_v6b5NcUX<2GNZTS$#Ddvnwkv1pZlIE=Na4SD>!VLNiEmP?KUz9m5ww5AD!$MGl`k
z{L4T+Jhy19C7L1QZlJLKm%puTq*x&ASfuT4=SQll+ChaB6T1=;YU2IKzb*5~IWS7B
z8R_uXqGc@gAska68U{D*zKWtAB7j5%UYdgPkdNGz00Ik4*wAlz|DWM{VOiuy7hHQ1
zY=AMO0wJHDU0gtbl%#^ewi4*Ieg~t_eHIc_nroA(6v8Q!<*2ZR88c1H|6t@3mszGT
zBX6<*lNw|HHZa~w-!#GT#pAu2^qEek@=IojS6cPYyVD43bc`>I0yh+emCuunt(1zd
z+#5j@@7?e)bTTXeVIUC$@yBTV_LKzkV9;|XE#t)C1%7G)g^=$MpIOP_>{<ccJT13I
zG!90`Znyz`E}vJ!`A2hg_4qg(IZFJ@x=L8~Pn2;iE-sP1ZB7pd8EGUa|J)v7^_`O$
zOaCW5Fm{j}Ifzarn|sthoGv_s(Xn!v1P&O=j_{<A@?r)Ai;x<s&D-qt75n+lRnjv<
zLu^+1QX@$%>hU<--VI$HdA}a2s-+qYHALib5v7@$<JJh3;6P$Za5czE%Cq<%%u{Dz
zMiU@!Mi%&RsHC1KMF(lN39lXL3OK`Kas4B+IK~dr&9GFqqdRArmN8$Pka|6$tUtSX
z?&c33iZH|LNK?ojQAW_@^L+RvmkxI*{SBMLXd$Iuwr+O;ct>cbW@p>qkK?DMuehqA
zX{7Zgw^zf%9k`}8A%5|^@1XbZm$LvwYlM2UdlCfs#IbzwLze$|Cr+uwHjMxdIjo{U
znH$ZWi*CIEp5Ma*@?L7=x32|{jx(h%NXwH{^CaH}cRGyiGyYoyAJga`p}h5NezO6h
z)Onl)aY@C4=?yPJ--jQN2kymzvjq|x+Ha?t%C&Bq?6N-{&hduR91&PkP6)NuQIJ`6
z{#g`PuoOmNW$}zggH6jr`&VMg5AUC{G34d?2t^a*fEuI&2L;$-2$qv6Y4CXZV_7Bs
z%S~H*2HyQCT#r6WM2onC5_tvpf1q0?c5*^WA2O#PnA`AzEiMR|=#pUi6wYznIJ+Q*
zm62)UCuj70_EK(5`khIwU^G-u@4?vJm^VBw{Y+3mCxaK(lX%CT0$cFsTTM--fh$g=
zG0D|E`Fth4UAv!R{YAF)i_Ww6lgMre6<z{5#+Cm1p_l3ccRuu{Zqmc)UdLIwwCz(=
zpaW*ddH^Q5m@1T0X+VMD$$f+zGXej@?KhZdUatg2lwVjfWBdb;V1St>E4_`1!=f9H
zIP8_Baj#JvOW?cXJUhpYBD&nt=_U>(MNL72!P_?&g-?sE-uds-AG|V;v=UC>4yjZe
zv=ZIbHCwr;X=rFHc>F{f^&amF?4<@qtvjjS4WBy4rwbv!O&X$+Q9)(w52IvQQ90Nt
z<iXjTK60AIp#IMn4<3SCz;<v&MOeXX8D5Nps#KyL)U^r&R^=ur1v^*eY!YL=Aik_W
z%QzcUm%T4yDXthG_q^I-$ZCT2^nKm^IoZya8UTOm93$@hbyO_+?ehIrK^knEEa`z)
zoR!W4J&!^<P^)hvy+G`8t7*?3tvg&=rs-W+>vq!{{Xp&`uACv!MY-Wq!>j<KDA*p7
zl46IZx9A_ghpO_=P7HfdwnoEbd$?lSHlR(6wWlHc5Q_*n3iPrYN&$WmQJdufHGrcg
zXMUu8hypl~quOoW-xk82X~vZ<FjcP0JyS|IUp4H4LxWdlqArhzO9s0vla)H@*}O^2
z$Lk+!@JoUO*|pCNjAh_RlJ+MeQOD@VH?W|6t_!sI$*&s^Lw>M)HTw?jyti#Cey2A)
z8{g?6)2Wn!o8A1qhc~2LwpnwuAl4q9P*o}EOMMy_U6>ytxfZK<$*DFgRLq-oiA#&V
z`fHwyX9?dgt+W^Kd-;}(K0BZpEG&B_FVu}*|E*GMk_C?coOO}9Sb9YhHbN>I$c3O;
zvZ)2F`M%MfCbB4Zebi6})BuX-BBelv@$tT$>p1ZvP*ONKKoGE9xz=poO+%Mvdyjm7
z=k5uBWo4$Yr9U!oQpNpzUtIYvF+zS=ccX2wOBCD=b2WImxo<YkA~p0PfC$A%)Dg|<
zG(V@=;$}zgB=W<kbv;-LeLS-2TZ`t5K@%b34$kwVLkDln!+M(?Yso*gZT747Srw{9
z(RMRgJm!w+8<B{}{d5%p!|V$eb#;Awz&W2&-OY5E!to9#)C+G5a7{iZsIIL6HbiQ$
zKq{Puxo&*z8=lpv#|9}0t;aQ*NVE%4^v>e362`%y!xp|YoJu@$)z|q`)YV$k9eIM-
z<5ow<&;2fKwJQa9TLQw`aDKP=<rW_#!1m_Zq*RQ2F26S?PGT-j1k*wac3~ZdpvzUO
z6<G7sdU(H=ElNBYY9&#2zz7{EJaB(!{z%<YvXpD_{d%*;bqabH4)Ra@RDFA{kVnN{
zh-fL|e$NfkJSDOaLZZsG)w;c%f<`f`a?79n*`Tzr`oY02m>OgS1BzV5m1Et~GFenP
z8D@g-ABC3&j#qOqg226e<5JhjbcUOUI+Ymj>#;-~4c=;4KzIxtl&tzS6#@tUvYu1K
zz$P1>$RqK0R>B@1|Mvlv+U*X=jUeppISP%~dwn#GBp#9p;VTi?!Nez7F#l24Jw>i+
zhn-C8L>ImaR(DDk;&6OO+YQARqK=S|w{kDiE{P*Zh?c!EEZLe^Nx8$&-O+Jq<66G!
zsZm^jfl^c3k~;)VeMk~JbQX+C2heCE`er=JKCjyIbGw{*B2%q!X`Zdsix<MI%w}7!
z6bV)2cSUG#Z^Pc9lWIx`m1n-!m*1uEBGDSLo{+A?U1Vz+qjRiM*OxV+0%k6fKxqgO
zgs?lXr&janF`h~dWAC$lar=(A3kqSM3cQ3*O2e`n8eBRan~Ff=z6-1Ec_%EM;6MuM
z3Lx1l^HNbF(*KH!G}?Pw;aDAXVWbepWby*9=Z+%cVn6S|!!Uu_hcmCdN*|d>PDkAr
ziioe}?d`n<J@cDp>>uc3kVza0mb4yBhkpDv01=<7g(?loA4IY+<bbmHpFF-w<+2vJ
z?6P&I+=f$PjR(hwO@eP!y61rJu_>TXNf9^P8{G@~E}v<2w|^*@LaaJANzG%o&Yv7z
zEMNaV*8JMoXrxL3zdKlvi#>UlG|!^<gYSLS+<`z!VZpbaG``H!O-yaDZ7hFZbU^rE
zLW#Wr$yZ5nz2p3xN#D_1(}h(RaBXU9!+Gsgo)MQEPzDagObJPc1En0H=;u<{$QpWz
zFaQm|>q=^&GavIb@GGy~GZM@Km;rFaV@I|z|E@CFb%>w$y4fkEX{aR{g8*<vr<Z-<
zsgjaIAD-AkjMS8pzAaZY;^xw>VH`u8=FDyS2#4Hs{cwVGcIu-2j!ZGkh--j+JZ$3Z
zQd7XD41Nh3ojxY(r`a}YhjGFyLiJQsUG3|pZ|o-Rq9y-v{fl+aWlrsAhiA-!piBA;
z0xTkgfs<EduHUg#2tmk^(qrbfA@;Q6_SXDK+x%LH9Sk;XW|$oW%xLftQBq>f{#X$3
zczC2-$aN4_-AJlpU3l7lU~NjE{Si$v?xQ61aiXALv(?op>Cy!XXx0T#sHzGv)3Iax
z>IvQ)9Y9-beb`vq8O{UZv;*s#=d|3MLh3)~!trY?d)aG<bYUs5sVX(Z;C|4UEX&Yw
zq38RFvlwO^7Ab=Ps&rVjn~(_i0!OshFCf8%k4I2rpOQOuJpT&Nc{n<EE`R?PwD4Cw
z!6Ri%OEy77ub6J3-}-Q>9L7Ip^+_C&v&Ff%I_@8EWnlG|BhWxO-YcCp8{S>=&yYr;
zQ9L+g7C7r8I{5qDY31(N0`7c8CafV;=6Qc(MQQvuQp}lwYbA_&!yN9Cv8Y>=93cn=
zA4+*#ocQPYMB_deQL?g>@rzt1R;-$TnH>QYkvWjOnx=yOG=Pne?BhtCTT|!)`{?^8
z`E^l%FrY$e+!&**7=x2*FYW;J7!c<QqY-tmA)ZFkh#U`hePv8yf<;ss+raq0uaCq{
zyStw4>9g%KS5-^f9eXddusvmIU**0HqzU<JB67lNxXq|H$qwGZOv!;yY)aixWm(8g
zi17A`W>xE&cs=1llE&wE6$Nr9RQ9V4-45};^xZl0ibGzdB+SPiNdK;ZcrU{nl0}bU
zagy9Gc4Z?dvDyxV1k_W@2`k#+EKNkNkpk}vg=}};F~;q$xi~??H!31gHYfKj5?dtM
zrekhzBnlsOct!0nSjSiWm2LCQEh;kGX##nvtP7gy3$H~rtK>)7#Kg3xAor4E5DwBV
z1S0y7;U2iU)@w1q%oXO<jQTaoAU4}(ygyq{F*y#|UMnUmZTg2){-tVJH%1~O3f~Z+
z0-b6eWv~xsgoCqHi+hJTY3qy-C%4MpWtQ5Mj_-qxY;`@p@Dm~b!!$nj1OUvTyi_3%
zAsQ~)=Q_V)G`tdYlu`&ZWWbWK?6kMG)|P|y1Q&MaA<(<oPg3Y=@_lnN1vSn5jg5`P
z2KAEp04Rgwg+TeQjwRZ@6%~uDLv}|W)0307Q=sxIiuVItYTY{V$SvS_dMe;IiIIW{
z4gxfmOfu*Skl;hB7eP}i9zx`J%WBJBj|<;Wvk5nYLL^Bl6&<KuqRM&o{tn~!G3%|J
zv~k3tte0%=ghcv_7^W5@cxEVcU+br;p9>6Z|2O6?N8+S#+Jj>BypE3h9ZH4n7X3Jn
zGs0i@PmLtpmNTr2OG|6^YiaO5V6V+sL2Kb1zU?Em=V<CQEORlxv3(u!-#&J(ahks-
zSoztFo5^L?C*FrXHFxe_9JXg2&;kh*2Q8qfbGTQOhQixz-w={`UT`TDOMQH()8Dj<
zs>eKNPhJSN{$^?*hR1gfa@|92&RxQED&v%5M6$@>8i;Gq%>T{8ZPWQ;S2D}Gu~Aj7
zS~TK=PWhz{0AT5p#g%`9;lb#Q$RkuvdMo<%d&x~y;3o2K5yVtd4ZCBgGO-|&vWZwP
zABK+-6G?FVG{ECEf;!h@zR?9MpXWMGaqOtv^R;-X^fva$IT&-Z=@R`(5)}dF(}FHV
z!=xcZx&VV)$NU$X7FOd$$+kpE*lM_eIu=!TTn&wgX9llTlGEW{-sMXr6WpM1IEA7J
zuY`rMMHjSqpz-tQ9Zc*%NGr)#E_$CbF9cLVE%kI^BfVLx*OLbG{dw=WaP&6@%Ey0P
zmFC<OQT053e(<1K0Q~3X0taqdlD8=;Stta&DWqAAy%>komx1bjL}`Q~uosS%sUzim
z*(|5liSHkf!j7@JUE52vUBFBwvz3PL>+N=bPY7fvG|7{N>-gP7f(g<er~0dSNDa^t
z^BUp708jR7FF{#fFMpXeYk-Fjh4nF8G0ERL+y~$aC}ahFG=AX3$l(ehA^*{RcJ1GJ
zJV~O0%sQ2uB8$fsdguN4K7MbhVpiSty&S*Tir>V}Omvb5&|+i<A#ya4nyDbv!U~J#
zjSirZo3bA-S-|~nrH<sgf9YD%s$AxO5h=AASjq@&VoN3GpjzRgkS$9g$0r-*)I^3+
z`}0Oqz+$99qFUBBnxy#oo>VHa>3yrhPcYYJH<12{eB<`KL9weGdp%WP4u($SfgX3_
znCi1gad~bk7q|io5cfo_SHrr*=amlV?(n+CAFb%&V$6%mz|x{FltcmS>%#tQZG9gm
zV_ca-sx5j-+SbcNgGT2CZgiBlyhQTCj*agB)B`se!X89i9&ANj)9`wUVQ&;ul8ZoI
z2>2C$Gt@-rHT@^SKv<`G``{b+F78G5+tZV=^I07%AUSP?m=#P=Nn0&C+X2NIduj%o
zEu-Z+`~^U|AGlNb>qQuLHiTT-(w$C@Wr(AqO@We(Ms68YR|f^ig8+bB{s(G1AZ7Qf
zhC*u3<4fP`q!`HO^0Vauy>Ig81xCdb`EOSb+KDIv%<;Vm2zTlf3kuv~)Ee{C;JO8X
z!yTSztO&CsszGZ<VTHjZdGz*NaaXaGY>u%BHjPXJCFABC6{GL7V%2&@4P$h|7O{};
zk7hO8r_`Y}1B}18&NIjiUNy8~@T8E(IR;ThKa+EMVP9|{VI4}o?a7V9IrW8xX9$Xz
zI>^$L1o{=)3oAfJMwp7bTf;9zG#)fjuoZaD;&(814c#=?<{$QRGsRNhRaG$zW@{$#
zsMku>ikai&7!vs`N&D=6TGTZ(6aNjqb_<6_@>#eJGLfRwUeKv|5C$^II@j(L-TQsc
zlwSz}um542h)73=A`TiFudZ?b*2dsG0z-VVU0d+kzF&!WteiMLQx}8)V1{^>!RKE3
zer}Kcv0Hk+cI54K_8?Pp+4x@;pa30oDwW~fD8|oA?qy4b5!T?sv;nQP`4trl(SO^O
zTkSwdvJUqO_oheT@%zhN_~5yrtzCRehRz-e90qI1Ro(J;d%QNUR|ZMK!}Anv)4~H*
zqM=?AsZocb_iPq3&c*G)C1l9xeLX}N1wWPfF-vI%b7qp8)>h||?HqP&+2JZIDZsJ1
z5#ApdSTN81-ll18m9&+yo8N4HsS1cSgnW0ZfVG(#>Fwa@aWv9s*4w`P`PaXzb!0X=
zGr`=kIiUa-HBm$rmJaWJ%-q)uEE-avfJ2q3mhQSglN4I^Wix{^|3|07?sIE(-7xS=
z<Q9_Edfbx}B~ezMrQVY45HE2Z_pisS%lqxpTgO-Mz+ID_hLG#<cS-T)`EchknqIUt
ztq!ogqg^|U=8YzwYDU?%ilW-80MQ-Pt8Y=Ou^Croms+_Lb^nAm67>z#b-MlD@8gaZ
zsoyO2@#Rwrc9iS}Km*wh9Gz+kCc8%#bh|nq`F_x<`C0t_%);P!$Yi!fGMWy;PYwWI
z%vPuV25-u;)gs=}I7KNlsKqij_<OfObrD&$Kv8lat0S2rq7q3@rEC#zXTEJe*}DZO
zFN0!<xUxB}AQ1?an95#~7;jNoMfWbqww*Vf%eSJbnqZ&xWcTye8QhU*BHq>1M8sYK
zHquV{R!4fDs?;x(t|cVWk?FYKH{0d?B@sy)54p0K<svp?2G-~#>0F$xLgp2nSRkQ^
zc_=x3^m+?Du~@7D2{|s0*Zrolm;jy%;PIH_?sTY-KI7YFVkkTvRYV3Hdw%}TR#;GQ
z+uA?8_aUQbU9B~wB&&wJ3So~?GwPLu?<_A=))SNl1`CxWhjAF{xYQVRvxtAS{e04*
z^VHLn^Hr6D{4+74EkqhgLYWxgFHGVfp@?z8p0*1KF#4;J(9{eM39hSm1{xkJO`>D|
zTOhtj=p<oR`f=WP{9iz2@1^zi%4K4k-9R8Q;4D-uh^1`~&gq;?yr;J{HXL2;<`IMG
zJL3mMh{0!c)I=YW<%C0WB0-R3v|8&Qkq{KC?DOZ`{Al-bmbSvCDp=yq4=tbDC?Q)O
z;7OvNj)IkRZIZvyOO>M}zCG~Wd8^~AggqH;B4=nR0{6gCnr3Vqp4HQ-xR9St(M^N(
zI}|FQu@r8K(l23$dtBv@>_XbavjsSGKDm5|gfN4PXE2L4L%}56sMD3Hl!R>KS%|X;
z7$jkOR@pd-^R&+}@)J9qkY__+^e^#lp8Q`M9cBqFn4G?hjcaXLG==TsDDZU5epj5)
z_2%IHe*m>ErvqOZ#>;st$GCuM)7%PH_#xP?MO0?+gF);~{>U~ZbC^m8o_J)yWZT~~
zAG{v5=B<PN;e)_vSfilrq_OZob=8GGfGG*G1c7p$QkpSVhsz(jx*!(%YO`}u`Er|r
zd7dPf^(CLD7>XaBFl^BHH(vqVDsKYHs=dx;5ep_-*(KrgLEKhshH}NtWZviF*5?QI
z*O!%U@92n-R;Al&)-tfT*Tb5kjQU0nQUNCkWV0YLnUCbHzKNIe&}lFFUG$A5G=#gP
zOc`FycRxtM_o(po?<*vuM5q5|b469U-`myI-KMyVy@0nWt3=6y>gnnaDK`pgVMo0V
z3vtD+(L4VhN=+ibV0`u;mu$~o-35NAV3zmOL2eX;k#)HO*vxoiXS;gJEq3>rh|B>R
z2f=@Sn11z7oO_mhabdW~H#{s$6P7;yX&Xd<aEd>5gy`PB1Jms;B8Pmj5CApKCGwIM
zXET(6;Ut1HkVw=SRHfhThgf`13aCU;cz$7*K1t*I{@w4$?JssiQxlhTq6;&r38Qfp
zsv~%^I<9d$hWN|j<wkp)NkNW_unHdfq>%g@rq$@NEbNb8sVtps;5A*&Xq_K7h-j)o
zSWwL3z+Z{r6}r7LaG&rZxu_hYy5HoyF(C-YyU3~Wg>GxsZqCfVz(a;8z$>h*`zxU4
zdDguq?qfrFnfF(|rA7Mx!C1CB^O2vslgg9j5ppC12*4qb8u7{$h?P~fI|yRMMb;54
zm8Ay1>Y^wn;)~|*57KAtMo#HK08Qm-!hil6I$?4z{Q=$d`NFNRS`aVN3#hi$1&D;x
z{!6Q<7?91Owkp_q)K7+;#iGTB-F1;-BJ^QazW%Y7?;xBg27M0N?Ke7o^XJ6mE2R#k
z7XSE$$@@ki7>q}SO;2nt-U!))lY&-&A3xa&pZiLrwq`Lppk7dw=@Z3Bm92IMIO%+=
z;Pr@1My+qtivrS)dg&F%VlFfERAZGO7#APDWhD^9?IiFm?iT7V6V>28hr4Z-%%Ern
z_#A_}ActQpI98!Z@>tcr`CIEIP?QI-LW_)aU92^GQ~e_g#<1LzPBks{O}#uqjT&?U
zE83;xx6m1jLD__?=%pRSJ9ruNSjR#EWv0f}gfK89?x%7q3}FL)s=!-gG`1y<C-UEJ
z)|~6O?w^<MW*Vhs??#uA+z2wJCvvDoBq~<t5-LbM?s(Ve-ZbmW&%wh4y@7^ZdB5j?
z?k^-JBm{%g`^-39o{bMX%h6PrwHi$WX=vMEDbU}%SW~aec6W%3@6{Hb3p2B=-6t#!
z%}##*Gfh@~I)ekufZ<*P-c=*jSJLM?v@-h)ExK-BaK6<~Gu7d%DMx5Wyz<ob<~U}T
z7lETo0Gvniqnt^0q%{HM(ykpG(xi@&C=GWJNA-YtGJ2%VF(`ng&(Dz2*rgy-hj$92
zvuqiHBIYK6mBNLcgP>6RYx;{+k}eU|STuuWJuGfE60}N)_EJ;!A#$((g4@;t{6D_V
zGAOPtSl5HQLl`8uyF+kyC%8KVhu{u_y95dD!2<+$cL)&N-Ccv_?yv4Szi!p7;uq9Z
zF>9~YyVu)K_nW6I1(M(D2Agj-ypw{#OWx1Fe#gvVp_)a*t3|d_p^V(+e7Ze95|V-G
z_0oiZ{<dx>ma@*`R&kaMP}+?t+|=^8@?^G%b}}6>bs_!f$#O=aFtyih#zi6e(yFCI
zLB!#TGLI2*V0aPt?zSgf!AvxSmQz?^2abBHTzqh)B>$X-kAC8RJr-jVwi+NO*;rgX
zX1Y!^yz$<uAe8lMS_?kuU<H|rx&@Uwih@EF;<~zk+adoY%BynN1*d-alq+_o+<mvs
zD=9Nvm+H*9F#Ib7I{CMyAn!y$<Oh1M##@$You)%KHZh!yoSzn7K7#UjiEjppF_t>K
z-N*>zE(%jUFvYuO=jSyE(IbX&#QDMIDvgbe{_D7oIq-nh=q5EsiZN7vXGsZlcV%TI
zMBN971u0D95k)gcZ<&9k%0ofXHVHT$UbW?xl!}Ny{f4NjGT4z$4`|$d2&F>9feh-X
z)u`Y`9lJwT(c~-7hcpS-f(7fsMD2g~Nm*BC7{X|G4A`9Zgu-5@guz;D-cMh((<gWL
zrUQk(DtY~FtuACISNozj4Yn@o%Mk0AA0X~9F@w8o<;4G>+lC^Js5R{<DY4JDZ6L98
zkDLXY?AEE)nwORJ)u8?I1g^#XuK_Ny4XS<Oh;enq*wC_rBfB_a!`zMyIZx9|^$(`c
zs)?bbfdMGZx><_UH>u&RlkXdj7m^0q_`MpN?|ff|(ofRXPCxKUa6)5;Ge-pob$E^a
zsb6!(^fX!y5lEYUtI!e_EulHT#Z$=o>3Ht9M|H95ug%<ZFdx$b@6^NiScD4(N4Cz9
zfj8K5QOOH!=vc=jzWS?=7KOR_8vfhQIGOMFVhY6)CxHPCW&B1<U~d9E<~84ff1qL{
zQyoX^Yifp(^g*aPFD-Sus2I|jTL{amPY06!sVu7B91(T6mSKzkyzk|i(IvOmp-akA
zNJdnWhS&4=4lXP-P>nVgx?NfQx2VpWfNumB1Z4C&e-b}mVTU5HPWRxUj*#yfRr9LO
zLW{rei~M_VOidpqwG$IlW)B*!&7QV|`Xy!|>vk(o4J)cWJ7UK*!V!Lr{&}nh@os>&
zHhq&%!}s*2RY%w#J8e3HxHP8uNV;?*VDMogme=Q^YIJ{FwZ}Dp4ZX&LOEIb;$g54e
z=U%xP(%e)DTL;V+9}Cv7W;wd350<*LtIG|1I;eEsydUocp)YdGIepl6Acg|l!XoYZ
zt`NDSZU@;TM@4-)L!%BcI(J+1?#YgwSy$kXuMaVBgmxem9)jlB?>)^_k=GB>*h|4S
zGcnmR1!PsTO}YCO;QqBi$v2NECXU6cijbnmLfg*>%5MKHkmD=<3+@A1Z3mZ4r(_XU
zBZC8VRN*n6EW0wU*=h)l-)VZFD{2WwIJAxsBf%7D^0|bqbcmh1ngrUjxyO1tq!=X8
zLO(s|jJJpA{GSXg_`Gf`2f>8EK;e{}6j!)-?Ow^fNI}0o%p`1Muy!OpycBwK_y%*k
z{bbT$QTYa+v~%$17{zmJ=x~a@wB7=meWuiHsu;;jDy{CzzWs$a$uGDJ>ypO4z484k
z)T)39&eDYep(3a~sXiTnvS44sHnTOQb8VjrCTw&c9(wD(*7A}r<nF+G&=E)rCVb+z
za0?&c2i*+y3tN1_{p(k7Cu#sVPCACb+}Qh~^$;EA>E-LmCV*LEgYv`$?VXimWMn*L
zWDu}7jqM#A45{U2)j<DR0pAj1;L;;VsW`&>XUV2;PU3BkD)2bs!U*^=|I8xhE#^1#
zgF*QO?Kv~^WNXMy&-n+wEAv@~P@OuT?fpIaXIY?3H{-L$#|j$~Jgcca)pwC6WXFIL
zzbBa?ObM>xW-w=V|F(CyVe1g19<u6WcwgSI-GkPX(j>g${W9P3wH&|u<y_%M78|-#
zo>H_3X=@o?vZRYz6g90vc)pFEfM;F1*=^w277bsUSNY3k^;_*nZHTR=Wrmh!c#$<L
z(78iC!BOTqc7%m6+F<+~DfH-|S+}%x5YEOM0qOxKMalj9hynO!M=qPO81p&b1+T7X
z7uF<`E}I&%N@ng6;Lbe>t_u82;>}$AcH1xP=GMoy;Q-y_{qU<|(kWXcg>P#DuPW>{
z{H`17>*GD`3CF@Ix~6HbjOXh^KSom)j3OPil{{5H8>Y_{^2!$dv~phiQGq9@cxwy4
zl^rBLf)6&w0JWg>l$jDFX7M_q6ASs=g-b5WXq5W`7Hz`-aN~<EibZZA9F*?8|5?*8
z>FG(E)+gM4yCYe~$&f-zxI&TJ#ZeCYTPVkRGCMX3?c3A+zm=RkJ9!i!vDp1aIox`W
zEzVXpBi&ii$+lhpN_^+~z_c&rjR<Ek0=4{b0hVe%C~bQ}pk<xh%MF4OrLxfiY7}F=
zdQASFpTNeBR3<b+>B#pQ@PTF;%WHxzxhS07ouM<ogN9a+1s|5^HFkat*=pKNXDc1;
zE2?GdkRbak@#|8Ea0@<nPrseKI|y{)qx|3;M@b=C`1g9Z&aX7_?{#~Bb<a}&VcmcA
zB(wW{5{1wC_v_kfO|Ew5&t9gu;!|h0o4%6Kj@=S!M=^*MpHgziIjpH7fwo>yM+e&m
zzgJ)5?Hjw4HXmEX`){AFHt{pvnhL)%PPf3wDl{hw)enjrDA5oUCDk;=P*sH<B~U8<
z!S+N6)p*R8$hYDzvAHbA?DsN>QzPMxZk+@?eormLNmyb`n26czeja-%9I3YxK!N}`
z{D^~uC%`XS6sA2tCER6KzTR?lg`7QQ);zkX6oVsvmOES{=?7vX^JEpF6pW01>hXVX
zMN%k>1m`zZfic#*2*bh?AEn?;|2vu~Ofd*f;xuHVu@@T;Jp2aLwXvdwdze2M*6YpC
zNpw0f9}OBsMcyW>A1TPncwX_RD@ap^ix;Wv2FxzfEaeiNS)oFAS~kGpQcNKQC~=_u
zJr2-LRF9s1sc8t=Kn#L^V1^Zs9?2J49iG2YVnRh$f)_^fA!BCSe|A9;)_pkje8b<f
zXbAZT5yy~SmDbv%VLQBreIwkMGBN(k@u6GrdS(E*I!|{xqJP_oOnLFj6L2ND7w$nL
zgREsdJ-Kbr{2isu6NKNYmR#mO{>5&?Rv1~DmtjfSz7t*CRma8}GUg%|t!bvH?Qq9r
z8SP-wVD99`{GIVTO(=2;9)UR)=mD%|_CBHjTVC<zbQ41G1yv1dj#hJL+g;)AQY_vy
zSv@-KnPJU$zOOWn@o;4dM%2*}oMY@K(sjq%Trl)=!9lMb^L%ka#?&-d*=s~cFqCt;
z=W!xSrmMJO4{jBSiZ_2K?njhbUvTK+wLr2R7VpF-i7iKUC~;<QWStO|q+wsMM(Q;d
z!hX<s8An%+j@rZ@(!sw;wRT31(s%c_=VTNxc1yvPGe|=LL;_5$l3oJ^@XzpOJd^DQ
z`j}C$Sc%j)2^8s}>CSVf1LJN(QpSO(mV<wn0D1ucT5nLPyslUtf&o;jE2Jg3sj0f!
zq2&G*$l)(Uv+ED?_yq)1bf=q}n&K0ri&%jSOUTZ!y~%OC0{TgH=TyXg13-c_I{`x3
zK(vg-`(J*5;`b3WL#p`_Gs@Z2YfCK-bs=3n^Ea<Q^IAF<YfnL4j%u7Wx!iC`iS89q
z5?rV3@DPhn)^j(lExz-9tKPbWUaxK#MFm~6LwV_>NT+tb5)>}wDI>Mhr>G392}>#g
zf6Jy76ot{RgzPe*m+w}QTDAV!{0&~%>yyqX<b_ivxz(HS+fR5KmjLC{DpNvC2Jzei
zTu<Z1>%N{y0#0(41Yc_OJ}E49g(trfGi4GQ^Tc(kidlj78h%oBXNeTCEIUON`iL)!
zgltU#aesDY-etYeO7W+27vXF|F@&;gTIzDM$!%E3c-gcb6LsKMXVaoTNw<NensDLm
zxqVoy8g*NMnlk_)si|pA>^gCgi|{g`x-*X?@LlAW>%KTt7F863PzWomr!qgoWnvTi
zA5ILBS;sLkt+9S!!*0|{VC+*Gx7rPtntZ08--6zlhW;FHSZoQ`nqh2=CLZaWy%HGV
zWOv8zk(4ykZ9W`-3u*(A_0kT8QOTi!)DKcze_Zl|#N>~=QJZQM3(DJKPvdqW%aiVF
zyBqf9R$lXEa=3gSkw1w9ifI59q8|5{?@Dm73x{(1)JwlP){7zgqxh)5cSQj2<-C<f
z5_<T54_)`1cG$?sr_faTT?x2Gr1F!Vj9X1nTwgofH@<F|-g?H!WWm#3&VHX2SCkbC
zt{_05(Qdz@)RXi2c;!UeHn=7&?qOT;@iSt)GZj|6y~Uo}g0MokizLXt%?#bqm_7Za
zl0!;GCzS|_z@TE29ZD|wmt=fG$ZZwQ@}MWQC>yxLE^+cxwJj<rGN#P9Nt6zE!wWu}
zH&82<k@*kaH=2vCAo2YYeMR^PjMo<xQqLpIW;I=tubj*nAs6xxXMA|`uX1jky1djY
zvCNLKG3<E(kJ8#>g+u&@e<MO5P$oUWcF7TYpHt3?)Pk8$G_#Foy@E7`cHu|qT?fzv
zSye$MX?tRwZ!Xh@Y6%qNE(6``DB~MeZ+l2TvURL>z34`oFOyziqugPz!#ei-6&&0p
z2XbAM*$AhVT$8sA{Y+M;l(x2lxnsINC8a=Q3SsLd>&oBc?c2Pm^VikIRdrIwnOV<B
z(_yfmmYXm_ez3Vj>B}G@S<rAeGm(9WSx4SVkF7HVW;-zg$4*|m#(-X?XeKVU&I$U-
zh>!T4>QYZG*%9IQ0N4%*7MfRg+S9`$0Hud#Naud0NG9+@oU|QQU~DmPa@lc_-$+E!
zgH*nHc)SbRiOfPJC-3sL@(7H2NOA@d@KrJ221jBmaQ$OvlN7Iivt-XNEd)pRWdLLJ
z<mss79SSZMv|_)Sa+$_3Fpi-(8Z{tlPq7Jv6XM|CpmIg1WM@*Y@#rr2*imRw#@gi{
zb#b9!|Ds`yHTIl5ga7qMyJ*M+7hcR;mp}xg4Da@|(qXux>N5v5Vwgqh-u}^PNtPE=
za)h9nxtj9PDKO>Q|KDwdvSXY78#dj_%C=rL5A!WbmmR$^fwB!p(%Q58ZL86M^hAar
zRN%`~u4lkYIwj2pFK`pzz1PnF60(#ROn`bNc)3ROVS1o&D2kUk&nTi@n|VNFgS7hZ
zr2{F1N^S0vp8#E;YjfW+><3fyC1c#ivUD^?AFj_A1M*JWWhSOfeyj!>Eo4g+Qei);
zr1EB}N<VdIOz{zG&}(Z^(e6CzpL8s)MXimL6K=G7V&rUCd(O&XZhC^8be%IMyN}=K
zC<@nqc~~M7s(6M~cCthlOKB-36^}Bm_r_J?BYs1L%9<DSeXcLpv^1dRC1s+Pn#);a
zV)O5|(t-(iJXhJ$ia@OtwDGYNM_e>-X|())4#v3D<Cxp4J8uGKeWDTKPNJ)H$^X=E
zTg4Uu=HG})WGbj{0r5H-M59$-zmTYCnLAR_;{Ix%q;w<cNHPIUoGP$+h=FWe4pjtF
zS7889-#506*XDG&kx{$mS5jJyesc|Kj|C_{)kAL@0}gD?uC`O1Jc}!|`Dq^WLq3B!
zO+`W00?W^KQEHQtf|*mS&PkF!*>cHNzddEAsC2f;MwX5xcbpu&4r>;J3Ye#Cx2bd5
z<U*p{tmAL^ifNEc0yZzsc$qgAtrmx~9J0MkZblHo4w7eUB`Y~Z;a{rY<whKyHkVjh
z@%07uU`G(3M^&|2#WNEWjqs`KrY0z9PlzGOM4?7nGAbqYgJEFoO&fvf#3N{e)2?!b
zh}2%LI3z6)mVl>%3ZxR9j-D<Ljj_oboZ1+C7t5U;9)>U`%gj8BNk)&$jrB#qK0Tbh
zDT@7J2Doc^>>nQHK{?X~eap$o@r=qg1*+fXpa&SQOw1c|Wvm5&6(o_j#R)nDokdF*
zb<WuQ(ofqb1ud1+$s1Z*A6oM*q9Z+ruG`uzb6M`8rp!zU#^@Yq)9^Vmh#|RCXQkO>
z_wolI)$QBSjVg3Jrs2mDAo=1P9xN!)Q9+hsZKdIAsUmA|To3d%L<dc=xEQ>o3N9Tn
z<n#;WTRvk}G0jKV`w6f3^Sd6rx~h50B|Fb?qZ9)e>tOibxoe<?zP|V%*$F)0d%TjX
zlP`ty?JhGDmSkrly(1W;t>)G5uN~?l#R^zS$c_erZhm6QPxA!#ICp3{ALw^ef2Xi{
zM#H0hPxn&`K+k=@puK8Tq0y~%g@GDw%;ypr#(k^o|NV(j6=+=0w(hQCpjRBF?~O>P
zi;mS@X&9v)l;9%FiFqn*b^qy(#!K93%XHYGY$xY5Iba+^!bmp0wD9*VfwX0a1TE`}
zeo&9zNofEFRi5`vW_nYjOP~5I-~&8=JC;Guzxso2;+A;on0r8`zlDM`>E;fycy`Zt
zxYO?Ya5C&3EUxO$hK1Z7u)#$%D9!LwojS2)C^$xpc@6?HsR>8K7wEd0nABdP*GyBc
zgaMr)k9eI*W@kz#Q#n!!B8@V7rY7_jb#`{<H#awfK#1fKlKY6{wVXpeU^`nUr*!o=
zmgBQCKNiBc4b&~7zkmM<0KT_g|E6*T5<sGMc6OmuatTm;gJ8Q&V4(hX?`!F=-be}`
zj4GnI0I`fVBRuP$7|wKrj;#y5J*j2`;Tg<aNKxtyJX}z;DkQnHzJnb@EronD{m<8a
z@7kT{H8J+}8y#zGP(c}mpfo=_<z}&%HMRwjR*Gf(ZGO}1t^LLV((%GL*_|dLN|WTI
zBZ)xaj!n+)F2e4BV>DAD*Z~VJb5&DK+cJ*dlG8=*=g`C=PKWt;4zs*0U!+9~bvWCx
z5`-G3JvM%1unUKXif2xa>u$lntn`h1oUt^nu3*^rIaL>ja2aq+hb}rh#Xhe2Ow(b}
z5<Zy9geVtqUT<;&XT%>CByt@Dg~Skv(fW-DT~?mTAviMRKRRslT|kJGBBVaHFT2<+
zWSK85I~fvRd)34xhs|B@y8I)+QJ)>(*yqMGn~uMIhlA|*2H`gyL57deE{M+}YxslH
zkDcMFWI-o4W}Ljua6>_2Gk#kYTl1Y(=SvUQ?XGrqL)*hDtF6g{c!a0%|ISYnkeJIk
zi7M2zvRR=-4RzU17MLVe@*0SX=6!dQGwG({wz?lXqu*rKQ!4Ei@eae4h-9fXqr*Sb
zQ-E)C_g6x~lv4UwyRVfy49|5xRlWJMTgGo!9#Vf!qhhl84q1-l_PVeI;U}FYntfQD
z*i$i<HofoBw;rRJ$2%$>!=@I#55XWMNvvz8%JNee#1t1s+7j2+USwSxi~kz=L9?fZ
z>bn~4!^6H<<#L}?Sn`e^+t32P(dl=zKbVArE`C_l|7JzyI06_->6DZ$tJ%Vwub$zz
zgzVCtr>NK+3Tex7V++`Z^`&oI(Yr0$wj3|e#sYSiJ7CLhOj6rJlp|HhEe#V2Rupwy
z2E~=jdtQ*)80!F0Rm3c?iD#Myq^(%1Q0)snkjXqtg+)YpbaAoJXj-Rp*70AnMAbGU
z?Rl{Pkj0Z?MD*i;vQ;(jRk;W?ivamUZnhGX8$D<?516g5q$saviaHs0@44?5v{6a#
zq4AGd$b)tF8%2Oub&E?RMW9a##bod4)mEK`#*;PNJ@U8W@<sAC$=iYGK|YcW^m3_x
z)~l3s6G&O9!AjiWLNz0yi(=(luC~&>8Ue{qH|E%OT;E02@@g_z9w=CtM+V#DP6em2
z6Z;bIIw^sUEQ`2Z9X_qUw7)t)Fwx1b50@>AHFZYfq^<sFjz;r+hY~ac*M{}qc<+|M
z%66UB*zON2H`@{tkcyh2pie0@&Iu|^jD7WxUc>(9G+TghV|S+d#Df<aqIhS7-6tr;
zE1O)*X@RwLya~#;bj7P;1#|Lg9wQq8SCNBHGOChCy;(TOW>Rw&Rav}vAA#H3X9OQI
zb4bqb<q>yQ@W1gQKSM4%4kc<4c<KYTKm|4id`n{MkLe&y|4qZ}rAM!l{47IWD4g*#
zUoJIt94z&+NHSYSFH(DB&9q7>OPcTQzyDHVry_lD%%o!WZP8Tf$CwfpZv9^t;4n#G
z5qf-6e*xo0Lycev90K(&WDZ~HC*iQ1P^zuOMct3ri6QLwBui0bpbI=(E#0&{*(<qf
zKziBG@O?Nd03z0@##V}Wh{}mwp$E_=1~jj<=VIOz2>CwnWgSaHW#eiJQYYb5ZO9KP
zX<4edVx>}@5K`<kv2q|ibi`G}Jdb9Oi(=T`Ag=q6Tt;>V(ULn@TuA6?H)nKVSkdo#
z*JAai)9((O{$tNNxBTtQVFF@{!}$b9E>}ArGYn@P8_PH%C7Mk9cR`YF45g@~i|`-y
zxXlj&YtDR--^MS+UVNuDF~k|#4rjhKR)%5l+}tC>wX;hBhYke5Sbse{JiKG}7~@K1
ze$UE!85&KYl@k-|MIBm7u+(+@PwpEsZ1;E@t*!w`luf9h@%@0EfvB4lT9v}GvItMT
z$Tz1hx45Hhcc#`)?s`HZ$ZmZZLN4NWFJi~iz0|ost&}NQ?jN?xTDv{Zifzs`q6*8J
zH=E`fG_Jv?HxD$1%UlHA{`(;9zmvN>-KJ_c*S2mLd7+D~2pW}RVK>1em6=rUpBmY4
zw+krtxz#jB2ViOwXoF|xOmlLzEDyZ2tEsY;-$D%~vFN>|kacJLEg+vZ%+&-|bS6<E
zobRhr?eX#<L5X|d%4!x?w%mpg(Y3&&9ohai@6oe8t=vBug-;|M!h&L>F)i`mfSwrB
zP5sNIcvkzLWxnhO&`=YF<XAaBdt%sSlI4<>)3ItoJdc0ze-*rqKGrd!`_av`(!qkl
zLm}PTS_~m|;H#0WN@e0XE5|i`jn^$#K<ZtS)65VlLEii~Dg5<uaF7N;z~Z$7p;oo_
z=Z3<$aB+v3x6+@&Mn<{Z#la@H2OAA$sEXAq`Y|+f|8cI13=e1+NUF9YBD}@TZ>7qs
z*2`B<jvtHr53<-B5c#WxB%FU2-xUUt;bqx9#EX08U#Pd9cxPn<m)fe3d+_59=i(s-
zH@Wm)&y_E8?Mpx*D=e15%M(bzn%z$qxTl3*&U`?m>+PPG7q72=a6PP;hbhl!uwS}$
zm>x2i#xbCeaIWO21(?UPphVSDoh<AB^~2HX@~_9~0PRE36b-7XR#$BqM*6{T!|VNO
z*(TW*-YD%vqe9e@=|fsP^8$E{rt53vPXXGzR!UW{tT5I1E<NA}F0jh1qIvlsqbb{k
z7R_l#P2`qHy8CVEj)IDnQE!&~zcS5lC8`eMS8hq48IW(Ua_t=cx;W3N3&4eH|Itn@
z>?*_!d}XcaL<Tu`!@P}})cGh=lDy3~0I)pFXH9CoJ98(e+A?3fm_hY`<&~8cEzY4_
zkTVl8daW##<J{GM65YXgy<als%`jkNJGIj4R%TvBVO|Bm#$JbGV`I($`ICy*0rLj)
z*Ri&MN-Y(CZ+oegWg3t~oe#%8fSwfFai~M}g+Qgsk=-x6>o#R8x41kCLCzy*d*Yy~
zT;_PQ2mZt9?>b2Gbhw(mPlbMG{&N}D(HZZNJ-Zz-zB@6j7K&ALxVLy&m3!fb7{Lg!
zBSq!LYHlHE1F1vZ<vnc=-5ysux7qM+g(T1+(o=2q_1?$<Z^_=Zv~8?~dl?keO&`Sd
zGH}HBFhwtWf=WJ``;YR&_s_7%;ljW-S5?-2ueRpdaf%!y?&!eO*{x<@u-2?s_%rA}
z6_EfNGQyG*@#!X1EXz_-86nmirLJs15&BDs&2P3YSz^rMPO8+K$L*n3n`7~S_n0Vd
z^qcyzyL7FvrO?GE77h73x`xv4$bt<by>$C7u2TaQK);F#?YV#ExceUtPXr5F)wjiq
zqSajgi()?OuMBdPyZ2`90ep~}jjmtMykaU}50wZ=qhM#|<`OvZS-!PceQn6k{~fc5
z>cZ9~aG=C4!%+gQNkWk2M=Bf+BAE8bauB8m9i5%M%7Ff5_*_cUWPkYi`AMgG;WUeB
znXlHKLuF1a9*+Z0)_|4x5)p3iS6>15T2o)Hjbvzgdz$suNt=~NsH!Z{mkBOanJce<
z>cQ6}?1^6C?)`s1qar%xbp=&?#^LDoM#UIPQLN-Og!)Y%^CT-1zy~Y7=C?P@gGi2#
zYJ9E>ld?~-@+w7tuG~m4l#ym}uJK`?1!Mv!?f5{s^AO}`pgHdZrDMWu4qI}E1=9CE
zGz$2;AK%s0^?BccO%!aKj)T7SEHyczL}l|lA2WrHKJ;67m*-KUxmvDKU#=xA2w9k@
z&fXD*ka+_#z}#z&OkOUnGPvM9hbDz%K3qpl)}vOh7Smjf$6#)zqEnzvKk-62b^pE3
z)j4V)r#I&jiTouYXN9eQ3#)jBxr8$Tfw^rU_dS?jKLuo^@=HUXdr@m^P(sG#q>uV7
zLpF&qCb_NUt8N<IMYk1HSI6qvHx{*!=sv;hi?&pD!abyK)Lt(GpHlJnw<p3BR8d(O
z7DLndysmDNcL+C1($PN-3yK{HLfzs4fwKSvr>l8&5EiN<)D9K661XI8M4@`smt{aV
zPG!4DIl+Tri%G4^^+5hXqqROt?V1pEB}$Q6x6gmZvhNv>iub7^6ruLokoVoyDkGgz
zEWHzp-Ix=sDi2tL4@R|V7*-k3Xc2kxQOBpsIcD%Q5;Bw-VfAHOpM)27$gUu7$nrrJ
z8gH+Mt&L%}-mA2#Gs0*CADALf8LT4~k92gmdQX>VV0e*QXk}Sm&4v98q`?G))$HhH
zsu!*ZC_n#`Le^1AK+R!eM`0;9J1Ar#w3BixFxgCpgn;sWl2>g+M+tYxa&N(u&BKe^
z<6C1G>-2uJyw{6cp{(uYRv7&;H6+*u`iSi0%4L}XC<dtEO1&`sQXDX=qj2EFLxk;U
zuZ6bx|MOb10SB4Z+1Pa@)a#7V48@X8HRXT4wS(Bo*TO<qulUnHppHqWLrw+k?*?}8
zyR3`WZx>HW%mwm-(QG-qOKuau+9r=*${Cmk6e1FkYE3Jm`w&?<TiwKoN2y(u`PR|Y
zk+<$0FBK5Rb!8XKE0M_McAW`vTHPsi)h7rN(9QGtc!!I(@a}^U|2!HkSmhFPyNiGN
zZpY}nwWr&`JtE71wpgtX>2Su>p3V*d$iv<Xk$;*Z!$rb{k^rgP5Ca=4&xEiq=c(fK
zC5pl?)(}=jgEc@1b^|A$pw2??BM`!YMuq-82!$*E2pZf>NgHdOl$3XU*H=uJAFU~F
z62QA;*&PQmR-wulBq}=8BZ{h764rFfYrs8Sm!PN_EcqR0aND2T2bt(l<2*SI#VX&*
zAnBe12XGnQNqE5!s3~3H{2HoQZfiKDWnrn{&kc_{%9M$mV)jWBHWcda0mH&wB>4-p
zBPGD6si~>OmdCkZm?7vLc>TS3;<UD1!<AC2`vSFjY5-%7etJ&kwDYUt>G=z1$ABMP
zZ9*N)=BzOE)}CBD8C*#<liadmv_t4B)mbU#1V-5;!6h<@NczVj2~Iw6Wj$W1YAQho
zvbu|zlIP?kO4K)`YsCFK24x|+-u<u|6rqj3OhaTIXG<<5qWB=TAqY;$f2y%4;&QY9
z%R}nyB98c7P6E@o@>-`4MY9f5+K0<qlb)W>GhAj_Wgm?y|7uhy?N_T&9QP?<l0&mn
zQo7!pMgOM2cYHJv74CJIE)glMkLo){)VSYOP%~uM5Ug}&yFqSrgY`66-qBGONtN;r
zKBRt(``G=~q*ieCyD`T7{Y|mPO?vMWT|;$}j5tHMnEcp+0Q;vT*~XeGK6B()V6jcq
zy*oCZuc>`*$bwYf*gR)p4Y*ULZ^t#L6m!fHr9M7)Sb6lzbUrK(gNH?zvQn_-3merd
zg?Ur&lDWF93m^S7ftDEkO?c)}!n{yz0ouOrpW<vX4Z@(sZuVOnXm$@C@IYjW()+Nx
z0#*DLe>i-Qv(T)r?bcG;MQ3s5*ppMRRn(HNt#^M~St4>)FtW9?5QODdoaEzDtUP~H
z3V3lrC)qZd*{qFfnL2fljqet)rT>O>^%uiY{*7M)?X|N2pWgKT4F2;6{H4P0<S#&*
zi#bA9h$n>dTkHJyGc(n5b+Z++Vwh$sjdH3#WAJIpIY&k|8ERUIF@WGTYLin6$AL#}
z`yE;H@x83Ij+9EO-)6YtfSxg;9fOiM7V`%D-;;!`i><>00sj_;q@`pcm7Mk(Fd*U%
zyNND@HEPTfrJ{mk#@B2;Wj-y6_p1USt(6R|&F3vw+|aNg8w}=`7R$MDJ{J1smI<NM
zWHFRii^SXCd&qUezjlY#DBEGDLp|wY%{jA9ydvBbqd!o}2*Qh`NAMv-1ZwTKQ)Bxp
z5;3Eg%$#hU-q1#psX03uBHW*47c7gdcj&#UKM}@mIh@cYsKjf~PCrKNDh#)J%tc^;
z*uCZq)cw2U&kd0fo=mS65mAXiqEXHMQP*gg3|=1(IGYD%At3kt!KV?S>cqL9Yy@bw
z6JoX0nYf$bn@MBhm!=y=yw-#y2D?*pfw%R`bljf`s1_D++hB^j4AlsTvOi>&SVLst
znqHacP1L23qFwtFEu&>+4-R12#5oz*G?l!sl$aQmYf}iZQ5X|&L{h`+BoMy&>j{vW
z!wXCGBg#||<^F25Wy(0}{c;)(r}2e&8bhiueFmMEob96l=Qz%M<40XDgZ(gXoxRc3
zmH4Ep#gCEnh=`E)2~)badl_0pa$}QNA<z~JC@<V{wch*opa+oTon%w}x#pj(C%?P<
z0c7VP2p3EI08kpWl{M$_q7nk#3#~^!WFXHc{h0ubT5@JaDK2Y)^-~Ru?9b0iPixpd
zs#F?>MvW?xu@W1*&1ow0PhKDY-qHCMzZP)3QNNre?&V3@3pL%Tma6(6&lRZ5-rj=c
zzF+RZRQ;%(nxlVb->GgBW<kJCooO?vla+|Tj}{qwGDts$brF4v)$#NU=0-g5qB<=G
zrT*zevJ|^lUTZNjma$Sj8pRG|6v~(n3)%`F<b(nZYsmV2w-;D`s`wPw=V}!VAF2-C
zX#IR2gc-449MFMspQ68CPBB=bWGViEQRTPeuIi`k;<>S36|T4lp-Vq4O6_z<8)$uf
zoTHa!^bSTtG^st>u&2S!l%-eOyEnm?y#jqnx|iseI>JJYg2Kml>bNxfl<jN;Q0iXJ
zn$+dAI=3NfT;=>+rhzRRShROK^`+J@R4^M6=>i@XYk!f0@<2ZvfF37Xp}@1HIsuR@
z=)Jt5;TE?xeqmwZddB9iq^YUNda=gPZl#1OIXZyu`ks`>X~W))Ko1y$#S(-;)72$%
zPRfZ0oUYGb%5RPqta_fT!_*4)+zq`{vNGKkCn>`s>O<DVQV>}kV~KvuqD^LRvDMbt
zSK#O3&<j+_csI{|Xv;uzetra8J>oasq3TZQcK$#~z@27bRZ|!Gp5GhNF-~w_ixKH}
znmtpgxO)Z5lJD+OPlaY(3#G{0lA43r4@O5Lu|vjopcUyzA+E!e9Rj%nn>+bTWrMw^
z@I{5cM^^)WveA3R#lV@jTrv#%{p3dkyY}~1@txb8emOzMDIbLad_vj68I^<tEi}vt
z(ZZnXX@SHM78|RHNg<`v-1YB3=txU^PnpdXd-#^!k~CkqLL$r9{;hbFs%~-{h{HWZ
zg`9tFgvR(!qABb<<UKg`hrt|laP8K8hz^qnV~{b&kOxp*s$ObyXEbbeEg_DR=H(db
zLfZ1(c794JJf)Uv`zVTIUPX<GxMm@=2}tS8pjEK>yi5Ygn=Th&wG_op$Ny8EVicK$
zQ`8K@im@cvawlTano?xoSmzmBIackdB62q2#4O|zp*8m#Q68mgfbR9LXMhQ}i^ms|
z)-<i@lTrzMK(heZ^MjH?%zi5Cp6Zu|f_W+@*mOAme%(VIjdAQ=oE+bXz)(@`Y>iAi
z*xxc#ureF&?qppRf>sJe7sKxGG<vd=0#|siPW0NzW~03jGKw2|BVBZU>CLx&^U8;q
zNV~&Te2O~YKpI-w60Etmi#Td65o`F96|yVW6c|7Eq@`mZJ<{@AwE164sK*wgmkb|=
zP<Kv8;>TwhW<__ttFffr{)LAh!*m;EGvptBsQ0R#1xBgNY$5%36}Gdr)$Iqb4uD^d
zHadOVZ*Fg=K`l5vV^dR8?b*qdgJyNZpfiLk4)VR>Y>FyiQwyce(txI+mhj@FeT!yn
znwiE$KtDCqQrmz}Ok3<edIygoj%#68D)!i%;e^efVA|WyUT;lO-Sn3eNFkskH6OQm
zYbb3-#1v&CwtzeCtYigau~f{g&k{yjMCrxe$t<%gvr;<pmI*7lB)rkqQVoPV(-IWP
za8-rSmL5>4Z||U|=Sq(8ra}%+Fsm1(S>?<*n(M_cdzqzlRnG`r<`rG26iP+0|G~Qn
zvGLWOrzVC!gqP&w#zR6{7~62SgSd|9Xi2j7u_<88#)^MoT>)wR5PE%YufjsDad)`-
zGiHz`2zO{{ny$q7;^^qfkcLpF+0l>=6Y&@4&<5NVGDr+mi!Gk3in~9oB6vM8KJq2t
zsGz?kWP-+^ducAB9(D248lUqHs?}#}mfkg;J{ymLR+mxx*Y{ck#e!N&IEfv9F+U8W
zT3J>4uQcyv5I~V2h1!xg$jJ|VO4M)N293hIIHsv?4N<asHHNz}q|o;cg>i=eQmQ5C
z52KgfwLpz^#s_P|y<>*xVxLChX5qqm8gmD#I&dq>9*`(R=r5yi9QK|Xs3_SU*y{Pk
ziv6HWD4VPdnR-IE?%$|mn_R;!@3X0D-Cwc5<}!km6mk?ayEciA{sz-WjZhr_^*NV#
zcK=h7m~H>X@&xN=IT%fgTSdAzgaGuDd_P?9e(=p;C_*m}IF#%ji8F)lw+EBKHe78n
z>MLT1f918cwQc!`NmLMzf%nn;!otISwSF^t#Uu~_TkDzfKy2SIZ%h;v6ud1hE$M?2
zIEF|HQo8``4uLkxcnHkmlxq)6d18?!k!MPKv}YLO6nb!#fU3$}55hX`6@V3IBN%1L
z6qd#Xn={B!7CZ5&p4N|&gGysbtwn@m?N&?o-NFb~8{lfABhi@W!Vc>J$CAFoAKy6l
zEWabgvW^Y6wa(pLio0us4{J3wWo9BLdFXd#C;#noT}t?IvyB#us#18_-Q}<DHN|*Y
z=5q39AvY&*=RoJ<OopIs$6@`+&!gel9AAxg<w6T*qq!&r1PNmt!>x7MDwls{A)kp=
zkSUhAQ3dvu3n2Myw6WePm7J?KY>V1g&tT4xqa6S@oN<D&p@vkQ0y`^g`ws?ig4oT^
z7^j6E*GxfydCG4@JoXurU|;l}oR1$rZo&k`$D@;x*gjSQ>!%MkZ-;+mWN|VGe>ODk
z6+qPKga!B(DOFczGEmy|hye!yWj0S%e;7H^T;Ww19%*j=PqETS67fjv1)D^=x*1H6
zM8+B<)ZQ7REqJz<QNGiasT4*WafOd)AxO|Q`=Kh!LT;;<2+8U}*m69SR|EX#nOpvV
zfV4k>tV4~<f>62N*RQTQ^6QtI*Mz`}kCA8<#{I$NXqvg>rMXA;SF*l_D%bqti13!M
zi^;-ez1!L7v$_(l5*s*rkHfgyy7sEh7B*xp4u1_yXMg`9zmGo)TZ~9Rr7(9=0m@#K
zLHba{=fJXL-unTp0sPL(M0bM~#be0BgGUr*JyDN7P%r&A$cTd+7SJnjK^c{VOOi<+
zdpDVkkzd{f-9W2_?#UaDDp9aiG61ai6?|z$=r|b%1hK`->j065USi0fS3I%Y`PE(w
zcT6A|7(<WgGR~5ro-*SR-cOc@d@|M<f&6ln#9~H3yL<;<))<2Sv9G$HP1`1KnJyNT
zFh#2OrQmatqlI$CRErD7#;@<u&FN2BN&z<kQc%>mKt0rUzcW*9S4doA^hPI_qwBL*
zJane^1+-`a$Fq?tsqn1i&>A+C+_UJ;Zqe4&rX$d<F9Oizu+9<yc7oE=U7{YSqN2h`
zUX0!I;(c%D(DO*@JfKR=N}&GqypEO7n!-W+g|m+xcZ^2Ul2Th^$6QiOQ(dl>y@QR$
zXPcaM!ni-YzkP%;KJT>e?}adz@>Qu|3o)4wi6bs?f0W{(AQ*tTS-=-8Phc1_Fo|8l
zf#vf2YP!dbq&ZzzDFoN*%Y70L4~xD0Y1?PK{$xotZ5A#5wr2dzNGpwp%Zraa$>oh1
zyvyy2_p)Jgx1-<JX$|%mf$1p(7AMRUAV&qifR%zZ5)gpG9jJzHg2*vIAoDYfa-&nq
zsN|09?F;dt?Nd(~;i2#8_o~iU4AJ~dukOOqq)T*#w}@j?{d&04BFT$Q8GX(br#sG`
z=Cb4{Jhn-{Ep04FtnThGP(AU1k^}(+Eg?xShDBAg-JpWwu_U>tDqr5`DxUe%qif&5
z4YmPyLjWfCz_2J!%5N<3a3*ZmA1TL~iOkgAi*#S>9=9o#EF{JLoALE~byXh(f+R{5
zx<V2c3C#Z+^VQs}0L*!Lw79YdinKnyzKbwH6&1s^?H6s&fI<u<F3T8%1VRTQe|~C!
z?Qr}@1dgi|zo)Atu`Af)aRPv&qtC-Z&z<(66lOtTv%J&Mx#{2V-jPPZEseK<`^v*s
zMKr)3&WZ1<s>#8DdpMyIz12_oLr{>o<GZ-leyk=damA<Ye0oB4dAi3xGYx>{H27wo
zcE+T%L&ZG$OVQ_Ih-E}u5Dc$`FHcgVamJ|z*ArM^WW@K+`g-*+_kbCD!E7+5>%!GM
zQHp=ZJ2cg^JpCK3lv-|Cst2Th`<R)TxfPO#2CDgtyI&0i6K3022v%^>VOw}RN)fjC
zq`;r(+^(d&rQXduOOj99zn5H*?vi*uTi$g9NkIq9>U^-gr7UZ(WBhbAMSph}&&)b*
zPo3p`pOXR#S^{$t@)s=jhBiCl(gfVF^ZZ`rW@FN-Ek<ziu^XFIu+Hi_#nOLI<udCD
z&q&D&3c?IINuKz<`g+Lf)jMY1Z=?4;uf(>1?%@A!rvXU`#L-1zfUyiv`!uAJ@Sv-f
zN({>N&<qyMmsG>8u2zbzD*<AG3QW(#`6`r2ps(-C&Bn&YZfqT^RMCw8e}8J77XW5v
zUt){ff7k=Gg~07TxQ_b;eWSK?b_+KcUtRN96irG#>$v#3tzO@)fn{=K<=ts~;f~;>
z8Pe}Om<_(aERcoX#OtUjTb5Q6(&LGT*L<umIznlucX(?%!USrv)92q&;p*?J0<K?A
zpUxSbOeeFY|HLzn$rEJ`tXi|=Ge~3wV70vrAaA^9gsApd-(IudT#e~pa#a~8lMJ7j
zU@CWDyw%<5xVbT_(GXsKX)|N#KT=!obUT2ivG5iihuz6;k?_<;3Ic{`5Nu~$CeRze
z9Dv6uv%Is9i0)l~VvrgoVIdi4YWlAnpP%3V8W=QVpVq)LSG4Y>g%B?{+NH-GdcHiI
z3xR}Fo}Rf`0X^Rl%DM8sn`wL|IT^clT>&Yb7}muSmENoK%D{VYzn1^2bdz8S2NHGY
zv~Mv*DY`>68a)3(L>ESa$(SYEXLZ?_w-tdh^$Pw~h1xMNi^pSYnmK67@T7NxH{POI
zLIOmu5Ty<_KRPA_b4&LZm{c5n#2o+D!FG4nw<!K}6~31J`zM5ZPi9Ad3`OX|tscv|
zt*v#q{5`qsv1V}gGZzK|f3Ck}OZyg*gb)gr_)imgCFv7vDM56pn}cz}lxd@PA~jNB
z?2$-VWyDsKCk911dBhoWR{E0HZ^<xHYO&%yEWmzQs>LSFT3KC15&ENFN+(};|L^_n
z1^;ZddD`w#@ITnQfS)cHK6R#H1mi;;Dg!at-0S5I?lB~tzF6(&QMa4b*SUo34(HLv
zSPE4>Vu8i5cx&kh)wA6jh$}&hZ&~rQLJ|&53cL&pSYjduhkGt2!3VY;Q_n0rVmM^x
zH>0E-2HRbdX?p+CJv$d7{PEAL2%Fc!bRUhFH9o&*;zz#VjJZXWR5e_aB8wTFj>ouW
zPAz;>%0OeP5LrL+W%II+9DaK-s}Z%==SuG<d*%~llrH+gqFb@j1(=AikUF9|ohn&M
zG7MPgTyA0D_liuV<4}E6jzDVl``P7qwgkCFRTTKP3Eg@yx-%b0_}$UDORPF?6(Zt`
zTAQGQ8WM%odq1b`<;g=u_t_U+9=;g$0~(d>{qEK%=MRRDe@!KpMfo2$QQjZ-d0i~$
zET;F{U!Ie2c4%b@&xc}iyP#e#Se;Cl@8tS8l*N6tyb7bbzddYYr3a(1%58sCm;0ht
zyZivJ2}MV8wE4?>$93x)1{_D_*4rqlQD0qyTpfE>bhzTqz~7i3Oj9-X*ls$;C~kea
z4yzFfU$KxN;or!7$l!K|IbSd&K7gz5Aj!7T78baCwl*fZTvZ>v4{<5T2>@XX-gueJ
z@mRo`Woxa3Wa5Wh0V#nWq)<SSB{aVi|Iu1GDv!S@{+;NkKSIW0fcV${u&Y7rT8s>|
za_TT3Oz{VY&93!^A(^y&H`yugqBO<W<_98X_c6=}FKbv^mM?+{<+tmdw)2A-c>|0o
zCZMj4mq)MdEw$;z|Ei%yKLuxTD)L&7KB)Fw9m2@C+*K_-+&<6D^|>X9e&EP%m~onX
zWam;%ow@AIn#IlAaZPl`U^qw$v4t?1JLTancXbxEdicTnBoDM+kfbcuq^P@5Z69l6
z?2L+ZCeKs(Do;V_nvL}k4NIM_BN7Y<OAET*glqR^jdh8sWwOy{P4#9SEIp1Ty$#iI
z+Ro?6S=^oryX*))blxjlF%Us!v!RX@l6WXn^oeJF5~F?fa|9pE_ZnyW#S)y-mOcJ2
z3t;i3$pn%(3<_dzlGTa)A5l-e+z*Hw$mWVgRv8owWpwhH1=Z%|zu2ivrW(fSqGxB4
zYW6enjs8Ao9kZOFP8|A=gQtwnlyyx5uJ&|?dxh!*1+o`1dkQoTuR=H5H0s%goVNya
zU4($x+3uU$XdKakuU*>fR~e3xpel2$^LN)S;(mJh?#pBoCmoDiv9)}f!t2L@T~}T$
z?;pDz0@RZxJql#I@Rh?Czum@5BcP-Pr~ln?OnH<9s3hdxemFXi>`!D?IfN1+Z%q)R
zz$PX^H$p2{y&d?h$#;09_EonO4y^PU{g|wjfgq+7ODHPubz2HUoAVB>*vfaL7{7^5
z#Fk8dp^bciPPfVb34A}YWDi_q#CLWLw<i9h9?(H8<Z2HypHItD14uw%^HcA8T4&3h
zOH!b;EVLu5yUycqtQROl36{b1*~cS)33oG;b!bROv&_QCXX7P6etw=wDRl#8G)T-M
zs9~ehzM5^?<>E0o%9q}TNXlEY-a99d3ZIWq>>}>a>fUZ+#g=s2@$Ux*^6PsYpoNC;
zelt$oF;dve9F$NAJmE)@vLwNCAe54LKuc5Z9DNwLnaccgC}c-bS8$N_5%v9PqSDro
z7gOVER{tW2OF25vo<2-E2B9$_DaKh+3u<eGY%jl;49~K#f=-;4*r92vX~wpA$@bqb
zk<QNVM7UB_lGC`#1}zpGArE&LTiv;@p~qnJ^69Kh3&j+=JY*{UuYMB9LsvV!rZ?TY
z^dvxIh++~u+$BJ-8ADy+fExdUhpP`0KE4E=`Fr}|E;jyqoVt*QR>T_&`+~r0-xHp`
zb4cZZy_!HFMx2uSM9s>xr0h@6dP#jLbv(-2v<vGz_-)B#4_fbM&m9f9Xiy?VQY~Fo
z276Xs-|FD?JtJqC-qXr@Fht>DT!z%c`eM!3`eCZ`Fxz+P@s}S=5JFGhYd|;k;5{(K
zf^~XqjA49gO4tv$Ug@m8-Q3(fK-0k{w%W`TPJf@C&f;bL*ux4E#e_H+AH5mivWc@<
zbTfKE@wYH%3!-m2fzSFb!V9;5vM{#l*JfaF=(YRSHJnZOE(Bakp~|>B^43+21ht=O
zBuhr~oU%>mt)BIN7Z8{(+Oo*m_nIk>p`<HI3?ZrK@;WbSJ%!;jrlA|5HQVxU-b>wn
z869eBS!7FO3{!ji#v+;Ic`EnkFjXu7^E?6v(N^h?LQEN^QB^ja)PAE}wF-?m9ToZs
z?|sYNlB@g{FWAWzgb2xAypnuU(2xyAm`}tb87S2iY>Bdv-J4IOs=t5I+?<Ok=s&)G
zXS-xb;tpLtij9b*GyDqUB-yMimmI6Pif%T!AmQact#-~weocKfp4UMwCj{GpMCh6Y
zUuXJk6m0U3ggRt>e;&y=<@VHYbo%wXIP#?i)wgLa+`(GF0!c~o7rTIf??!d=Mw=6$
zZ1!Dk_v2&E+=8^MEi7J>J*$Uz|MCYBNW$h#KT3gAvZ67~&qyd%$j5I=fgy4h2++aj
z01KA<fmx4BEp4A06wW#HK{{^o5{aUa>7~Q3yrZ!iApuX*WVzGRWCeCGyn1nvWvITX
z=#H!FZ8^aR@;wEkVHQ6+vZl3sN9=MrGm_(9fT(2Z)-6pF%cv~dsbBK7kvHL4ZPj3^
zOA*?z$2aZmc!I?x<GsR4oZ+}Ns4bSVmwJK4_4No(9#Zi(*_QJ*`f#^N!^679J=}}$
zmWnJ#B7V@iZcbm%G<4#r94D2x^ROi!Ucil$IT=1urRR;8nig{25|!II@{mIE8Rt=x
zflinD#l4ci`tpy9O2n65af+z>c-OpcEVi!P5i(RXBO)1e*qT>ff00<Urb5a#Hlh+H
zpR{fmIzTS{jBMI=#|!5&?Ee-{|4w4eViKW7sOc@nCK!*aRAMDPO(9?6(Dq|sFNMIN
zTzr7tCI@*!Cq~-DkRdYux2<W5f&t0D<i)RxTJkGt&?;0h6yGR#l}c`wD2vB|Vc6G1
zg!lvt8nlH4F#`3^?^X->CsGk;#}gR1_N9A}49(+kT$dA_r|dvSjg}+(gN)HhQ4yT9
zO+ZBvXfB2%UjMwVpz&q86Qfuvf_aJK_*M5|8mZl&7r!PP3YGNBehx^o5LeQtEsbkV
z-`!v(BYa(2)>aFp-<3AMAA(kFeU66Iiug(y69zq|J_>~4vfw4lA0_AIk$&g2o?4f@
zv!r;g-PzgM*zS+WgSk=yc|N_pznmvmMisVv=pg{@$JX(BSpwhFhm(Ut7=242gv`(B
z>1zA1zP|q1Qg;gOr%~Fzi?_FTR<gHBRN<3k95eSo-R`{2#hGq<T}z1XyBU*xx*iGN
z%+g5(vH3!LX2MzJ5BEhnHSy@W)j{fP2<CuiLXK-7DGxYxR^<VSoCRrv^3zu`d&BnK
zFql^FOFt4PSn!%dSU-iN+)yivFgK#gzYEW+_$99v=(1^#{QSZx`KK&#Wa1HvX$(wl
zTfc-<`37xyaphJdS7KP4D`^hK>&fbCoJ~wbC8e|;YP(PKp^xf{`J;{$!L+$QZkSxd
zYf}(v=Uxdg9QR<F1&2>##`4dqRToT1nq@Ez-jv^Zf1bDY`tU!(i^se5BScZ`zC|OD
z`u$G-_N`G36CyaYGzMIOCSqe_#|g~6C4aFB2)rz3XJ@0#&eb<GI9>a6I)G}-W0`Y+
z1%G0!X`#UB3B;NSL=I8?{_Pt#?<dbx@PQHUJr$@JDVOG6XQKdTWZl?R?EV2AVxSgD
zRWB=xz3kd(*IJ9M!}zc6CDP7cZt!Ka$BrkO1}2%#@H6XCx+gAC*J>kIz#mJwYmQC}
zGVy@xEt{YX6x1~9zc!P)RU$g^FeUS$KKOlaW-IxG%H&}fWXUJJD4<WDK5>8o@20r{
z@tFupF+rQ<3z-q=o9|{YvCcyjqT8WjAR2^qIDRPFH(7SJrg4<L*hmqAa|Pir{|zq(
zrBpWMVQ|m7s3<PCuDj;3{@D)8a3p5cgMo0B4KvzgiW_IU!MrmeG?Gf9LsX@x7yNEn
z-(AzyNt7}i*Oo7Qo&P8cjt$<iQNpQd6~v(ow-{ixkLX40k;DE@Kh+|C<oT6OZ*wE=
zdy^ZP^n;#1GX0S#zUa)AQ7=PJdp8_36<w-oP2y6!Et9@JQC?xM|C_~=6Pq)m6k=#1
z?}<PgyEjwdxvb<LXLBMdipi8H8L=&k7Qy8|;rgY9`&|<Js0+K_^zoDW4s}{wDX;n=
zwU0iqKrC2FO78@AdWW0xjm)JepKD9ShUcNu!rEXaWq3jPs_-`{hS8O<qSn^G)Sz1e
z^IPC_G@U3{kB*HIDoHXX09JmWt>(~j;N~0F5P5_c<aDsVUkwj5hYE^bGj1m3<h<b-
zLZ2$2lVf91B_KS@X{M#%aPC-5DHVTIOSX@b7yr}8NGp4-`+rzFhww<-Xlqw&+p0Jn
z+v&LDq?2@Pb!^+VI(9m?ZQDl2wv)fU|GLifjLzU46$VxH)VufE_u6ZHEtr5>Uf9SC
zg~~K0%GW>gG<K2Q;F0vGOU#Z12p^tlfyjhO7u)`bOJuXx8RaL72}zo!uiWwkAILI+
z97MsLTTq{9f|tQb(zh(+ZTbCyS)q+-cSuEQ7a{`1=f}_!9wFC<)nQ{mqBFNsF_>WW
z%~4!JO`zLfp25x2C^1BZs&xZiY)@h8>81=O`!X41aj}k?ebk8ZKP@H_h;qw<)OB_w
zyz_n~&6sW7J!|a<*g;an6Sh*YE7v<z6yv-oW`B%`fAcG7UUGb^wOpHqsj13^jJ^om
zkG@1kMEt=bC6;x~jr(ftdvqKw21!7DAa=n-QCPQ8xC76n?LBz?T*Qd@**|I`QCFb@
z*RcUki5((|ndA5~*!{z<@#$!-%My`@2=Ny>dc&%m&>Ov_b+z<>)MbcnUO7`rTEbEE
zk#S2$oLSt@eyI67x^*1-zx&k6cW#jCXG0$v&D9NjM+3d>1@}&RZ|+_E!lZ822_FC{
z?r|@8iHRJcFHL|R)J$e-YV)9%AO(dH7G_(>HV8`^=ue=O;g72I0&w_rf01;so}8R$
zxeqg8i7m2@{W>=>#Sw%7pXyksE#8>M$Oo=_IF~g7PgfK-*TT8rWol;+)=o?rTV}#U
znp?QhN`knSuVg$rO-s)LH3nv=lRAH5BCW>)hwmOgG6iJ6w8H__TrBhR?UW^oY9x^Z
zN#QeBNuoW_u9KOjo1?OzQ%tK2y#?$a4NPs;c5=#=v{$7-&MXU^HgYO;Np)Vw!*QJZ
zx}DDEwG>=3gU7P6mon$nS1x_X<2iU(nkic5#L25)$3K)8vu_+sl)E@ak*ujdk2;&l
zFy?PJ9uW?_F^d}&RB_iPbBgm`TK4P`IzIg);F0eI4*i{+?sVUCApK^eDG*f3u-Gie
z5|=m8C_uM7$N#$j%k928Tuy00ruV})_HE?N*nv)Vw?77^+wLeca!YFNL4eg;CMb}r
zHzn-)Hl}}M(|1E$W8XEFx~rgOy{p{OJAbS3Tb2M#X$1!`B0RJg5|M}YA^d(d`m(|{
z{H*tkl!WCln{h0vFyv4<N;H*cfPFo<!XurJ`u+xk)tb$V*BuxML}?U|4k9~w6!9UO
z4GDbmPJ}=GK#CnMXmjd@ojOm?$RL2O0Rzm<&0Q)qeER$QzW}NL*O1jdppe4t>35&6
zJh3wc=wD9QhP)8Ab>Mgpcl{@a&&U+(5%N1;`nel&-c2>>Bp2p=us?{Qo8b`ldCu8g
z9`&z$*0rP<83P<nupooTSvs%Hqs0fE2G+cXwUa6CLXUILkOw%inAFe}*b0GGNoWaA
zTiS@3^VUn?Np=l&?%qIr!b#CMsO@0|+F;Ct$RvNRQM*45E$!89M%XC21mBJ?@>!QZ
zT7LySP?q4^m34{NA3}deBji_!-ESO%YHb}C9GI3()(1@t-ahtAwuX$DjtYwUe>WKC
zwp6Ka`jhH{){2`vR94}H6uN!)XH4T7Cw$#L)n{L>A`_pS^IQan@75r9Gf}sH|E^h3
z8*7t8cs1Li^QIchmkz5V;Ln?GY|~Czv>1b4O&}uw(C>2l9QMRF-UMm0v@d`44J>Vi
z*KkS&g^4h;+!6lE36~SNnc{i={jlT?qBfdv>-XY<h0xb<;0uvdVQM%PEgEI3uY$<Q
ziy)3JnJGjHLBDCff*Z56T10sUdc@SsJf`a-G~tiaD*H5g43_IQnK*3A@+P_TQ(ou&
z(NWZKTv7F_9dgwKT2>Yp1L*13DMs}`vk7KX&-&gPfy8MO3p|30SL*SgGEL9V*BPi8
z`yv4Jj^*sMJegrTsPTT}2xWbT#`OdM!j6UWmv!l21M&k|v9$yf$Xp>JYE=@9la?Cw
z?`Bo($3rQ|<$rRlDkGqeVp9|DyT5S>xMvVgJ>1_zqT7_aqGreaP(NR9^;|8WDc_Z(
z<nG<S5uQ`(PFm(Wnr7~=oMdYHiN`d<rjh<I;MU3y9SMB42ZLm$+7WX$guao1>SU0t
zi)Wohn&ADzFdE2u4c({gb-)vhDF~Fpb4x@D{ic>pPBa%>_a>Vy>>|y8&-ap@o{A|3
zNL%W4^!}jXUGytHOj|b>FQ}(3PPde<=Kphanbj^MJiztIVyG=wFxNm@uKFXDnMZ1Y
z!JOw)P3i9$FL-a<u7wlSp6Boyp7ol?t9JNwMl&%O;J)R404fR^;%V7#N1ujUd$F|r
zSF2`<Nrg`HnX6y4K~iQV9OED)cxE)N%e1yY*L94B&`#FTqPdxryG6+#b!*oM01MP|
zi^m@KQzjQ&5A#2s{Vy>igwu8FECevXWD|j!X>~LtzZ-@V+FzdehJ%HZ`d)9So6ekx
ztK#A0y1lx)S!K9WA=tBoh}Gb?j9H?vRY*~^QF}JdB?0Pcji)S5$*b#`jiRW?E&p88
zpqb`fF?u=N4$;<fpb#Uytq{q~nDTdqL1A}MdY2T{*7d?CH|xq4Z|Eyp3PH#IB<jai
zw|ADI>*vT9H!~7FwQwLA+=UQ*3WEkKcn>Tnb!2fp*(fRt8bJQ1-gp#!IdgBe4gnyX
za<DWQiKAB!g0>GdG&EE}7X;`^UR_;{{ifUDb_%sQ0`)x#-t(1){{ia>4yQOfL>x__
z(-Y7>R&F(ZT*4ro&?xnd7;<RGIse!p4Rgx5eO)*b=I&=rc?Wz+1|R$W{@Oda*&ku#
z%oeR>9$>r7-5NnVU)x&^3mB1Pa8Fbc>(LtqhhTe_;frOm?hrSD4obNuZ!LLu4{OZc
zD2ELhr2#P|DsH<|1A2HLX*)}ws*yy8rFzqjab;6pd3n#ZDwVrp29>MaALWc|aoWOb
zF!8aT3}eLrwJLvoRL>`R;#SH=i9xHHbSk-zRvJYrtEH0#MfD!tT7X|1?R=v_DkEB#
z^3ai1L;0?lN(Q|Nr$&n+itcFAL{KU)#`wFm4qHSy7P28n!)OO=+et(MF4dAmY+yj?
zaBkh{sgrJFwLFueSOdIhM5nG@n4_UI1%lJ#j&s*zmBNPhXl0_~u#4*7keE!p4>~NE
zi~vi-(d$kJmea*)>kjuA7VK@U{=>mq24A=+w>!SY1#C$?qqv^5nFR+%o6W=3<$Y%Z
zSAzhPIl<YL2&CdLcxPnUq<oPi<BkT+ym@xX*_FI&<B2LUW1p>BCZ;!phUq#)(K-wP
z^qaBT^^T>2vLXxu<P@Vx!K`?Z<sc2gHC>Mobq0eLCD2?H?q^4BH)L#ABSv0WY58>5
zmhjB)oJw=^gDO{kF+y$7nmM1VnFc!`?rz8tTk-wbjXLMuIwobsmiK@Ie<Smtq_3}U
z@v8==xK=FEP}<g<y$1M0tnkln49H!D1Yk03KwN5kynTNrk7EeS5H|R815la+^t0L~
z8u$i;0#|uEp4Fv+4rzMK{)gMO2W#@`oL^!Kh+4Jng9WeW-o;(7%W?M58JoG$*Tu%X
z`j@!kosVCA&L1V`DI-jp$tixx(`y4EO}@%P4%|G-Ea()%RN`zw_e*!wCdXTk$#L=S
z)KVS4G+Ppi)aMQ;;lv^Rk}6uF{xH3##c3e1=^-enKIfgFJ^2|<ZW+!Q&V*sV(0WX&
z|1U1DDM0O4(u{2kFAI`a0*o0+d|_>%lez+^EFu1{ED=q)U^Bd-x*Z>m8c3%btkDA1
zKt_wTK!Z`KI+xl3Yw$qGlkzp!O1zIT3)_n=pLfgvYzW(PAM2~kf@f9?7+blFI+t_7
zF&sql{2);AG&`R`m^TiG`Qb{2O1Yo5x44Xk+mn6!8}sMV-srbr^W!jlcG>SGb$2Hf
zpN~-eAqMj+yACCPR=r#R3N$XP`S?R&DV-9~eqqWa(}7%qlJy8;0&e@*wfX}lqU&k0
zt_a57d0N(p3ie!3gqZP|$~AsuU{zR8GbrD)J0@`>2^=iB7ACKRzhfd5;~mFk46un+
z<QSPpE?3t?1|`(dXts5KJmaya(}XURY2<HNVz#FM?xC_C()OJvVb7wH{_Wg(Y$n0A
zeWD>}Sx8mb60XqZdyI&cULA7+?+lCYJlK!<%W%^!cwO^rvA$lOoSQD%R^v8xOs}wD
z0a(dMs0Fpnrxnv9K2tVUCk=#=V#~Z-AJQa+HOIRZ(sT=Q(Cy%8(h{!vfDf{LzC?1K
zC=`%?;GUI&qTgkXj9gAC8918Fv<lLMN+?Z?qP)|?F2}~l*Fi=sf~nEbcu*5FRajEu
zi!RKB_6;Q7wF&5EIUY{5`dn_b3V~v#(^(G+C?uln)&-Dcl@lu95TQ}Fiicc40A~*l
z7Z#8bTj$F(Iok#j1G0a-cstC{PQLWyJ{y|iW*LjCW?hVe{9cUf3ohu}u)IODV0SQv
z)$50;$O#lrNz2+ZyI#LEUAol3ZzZ(l&^~N%BQn%KYxxc>?rgG2(Q8YO32E{gt4V|q
z)ze4y8~O?X+2dvBCP%#)zQ9LqM(o9bKa=96)=gDLrl@E=QtL!3T1tVRHNSS8qVZVc
z2WL-8Vyi`c;?bk?*8meOHxe!5g&?(n1iTQjV>F}yfcjQJ1>n)NxDTPNs5nYdS6aTz
zc41?Ps7l^jBDTC`r5<4g3sxA?HbqzL_Wk-H=z^_^drS)uUhpgjlK+C0K$(;qO#an)
zL5i%lus7QLWY;MR*x7c}wc8GXtKvbpu%Yl@XA6zGJxy}nLiT`%cT`&Sr<N6$Tjvo?
zk55IC=08i9IUZDXjUAxdq2p_H7^p(WW3X6Xjv?;g{BymCF`SJasb)jTdOBu%!EH!@
z>=k~?S9q-ePBkws?QZ*X$Ss3jm|v@CohPBh3LR}(l~$=h<)<z72A-Qyjw@lsuX=Z1
z+S4gsdQNJ((^mXY9{=LQUQ3l&jlbcOB;j(n2@C|6qTy>{-rFsbH-B^<mWTu6MWGFR
z4Gj4&`Nj6!dcbc4EGCKhU(H4*uziT2`^Ys3Tk<y3epnK$6UjimLbo+^+7NU}3eYKV
zXvX|KYavjQio(cvtJLfCD}z2`WgG>L4!Hh!9*k(-Spahm+)<{acx4v3f<;G!))5d^
z!qi!x3a8Qen839JEk!N}KH}oyas~8|<m=_QC|y*F-E&{rg1F8c0yb0GcYIkzJrxmD
z^49_r>QiPXskTj%I7&~+KVqcETccZ_q>!8B^DC=??*%OVX_BaR17s(ui7f2s((=b0
zf^|mGa^G1JlDi0FMHlPO>?n1|n1ZOAgb8eN8%t0eG7D|wnW;%O@yt{Z0sH}rG?`Mw
z=|lCG{HcrWw;uc-<;1$|EDJ($(9&&uHpEDq6u+&kTq|LC4OZeBg1!wN4(ye6hni#D
z<h?}`(aQYnaQ0KEuJv$b;q`=RVG`M@DuBI*`a-Y1JZ5|RyB)ijDgL>O@rA=j((HN7
ztmfLkP%c<4#EBZC|8&DPnGr#MU4?Yilo;v*PwTZ3$9heL2aaLY3H1;;TvbPB#l(Bl
znR@$(H+JlP;}#k1Lp=p2<a6!}>dk8`MQNGNxA9!IRE^ceL<dKQBD`VfeDoi8l932I
zE{_b-qcD-gg8c0u#aLt1Iq+BuPG>idI=K17N82`4sX#*z3cyER&Bd=1q>x7O?eon3
zePX9_<5nfzaRN=GeX7l){UHmU;8<ct7aTQ{1{Cp12IT21M2c^xWJPgop_50>xY|ub
zj`LwgJJBlsR<|j<D%)lEsWN>T38KnU#A!RV587$$KKFR-jyL-3=niWpcG*$}wj(Nf
z*v>W>JeHV|T~BmNmwX}1kHq4>+=g-1djxI*kbXByy_sgWh}Oq%?e<UcMtNajIf4dP
zXz+kuFoJy1c~76~hCL$7qrWDp*50Rua0ig)tLpo5B!_p0kRp{wQ%0BSzR}dn7tF>S
z)aiDoP7Gtm(L{lch_0fuJvh>a(}M{?(_RXk`w=W5R4{=Z1gjKmjth(>cTp_TL^8ya
z7t>vaEads?NtleeH<-g$3dYBZ!!Vi-b;MYWYJsupRPIt9nw6g`T?HktM?MeBE1qIX
z2^ZfDR3RE(?t_(;KiK?Oink4F8jV?pLP~R>MC`r|gM7+4S6pk!6!}E6v26bppL2iZ
zMNnN}1MG0Fs`K&;<YZ*_vi;Fj1l)|=*&&BWf3V)V5H)tn%d1gw67`|Y3K!kEDB=BH
zZ&TDRns6=RFhhe4alR@-lP?ggNKAfGU)oFF49wty!q!^i&A*3HogL8J6!13}+UWHC
zdO6lS=W&7l{izymJWlm5Sd7Gjzcwc<7bsh9e*WyzVTr4Fb30|&(IA>fD+R>d?l6D{
zMD1EzO3znm-PFgcZg;w#rH!+?@GVx8I9=HYMF<CEH%;4ot0Qdp+BjYdqEq5EY*BI^
zYg|9NOLJM>pPc>RH0t0(9XQnq<pRa`Ku)CjBs-VPL4x=6Aifhj{OUFkO-UVP_-^{`
z`T2<WtNZOS<E-m;%znL0Ynm)`FI0gHiaYTb5!nh9^X-ZdaE<E62PP%fAdVV@1(Kdq
zaOS>&KEXXW=s<g;)9~Xr0xlb;dIE2y>rt($O>lj<D?(aEFI8fiA7|5FZ8pvB_zq!d
zqK=X%ZJuu|R^}2LK2G=d24yrnR8TV%N^e!}?lWCyE+ephsr?!cYgfe2eUmD~YC+X6
z^V|2sNRf$?-~)+ga{|OdezEDXu1=Z5s_HQZ+W<ee@D6$&>AkRHY8~$n5+S>?-7XE4
zYNsmU&Y?rMTp>)nKiQ^k!l87(XV*v=G6me<V?)fMcmQ_%Zam<zDt&kY#@-Coa9GjS
zD|#B1lh6}n%htThfn_O<&kND>EzS>Zh21-NRs{Hbej4*H2M=#BN`W;MxNcYx&^~M%
zQ|t}SdB9qRPBMR%NLID&+331gY_WXKOd}4tG=U2`9k@Z*<XssiBpF^Ur3K5FlE2rG
zi<ru|4CJigE?|j*Ij%Du#vvyCA%V*nsrkL86_U$=&B#f6j|9br>h2s}4sTW}5X?b;
z??W-6yk4=GH*7i}^=HK_QU(+JQ*728?~iz7>KntS;?VHbY;=er{Yg%$y6>E!hK)uC
ztg_Q-Mx|n3yPTk)nSY0oBe)3!m@5YE$&%Dr>?=`$vr)5#SFw2@KOdJ60R#)~&Ft=y
z%8^W_TCQLC1ppG@@SAZu?n7ynJP*buo%^r<#!7qj-OK`ZVOi(cOMoM+EVQpy3qUXV
zMtNK|^zE02$mgNH^|+4{jb_0+c>{x>zaibvO%-J5qk;CbsosJwc}yFvggxG;wO3y+
zjcR~3x8>NxwI)VcA|Xv4Vgah+q?4fCyO*iIg!O_s(<$r1n1f2+7r6KDUbM~po?g6;
z2GUYHtkJoum)DCQDNtc$0s3dHcE>Y$*Z>#s`7E2aVi+TG2sl*!wwaS-yRWlTSNoTN
z+LpUw%L*J`)UB?z;Vovwa;eb7|6u_DF!D=#`^$1r`r6%n`2!Ev^xPVeeJakdl3eVs
zq6UaEPw9~sSK+v5uAbgo3TM+N0`xM!|G>y~4{HrYAZLHi6^c?RNt*19i-b&}lS*M>
zmt%pDLU(rW7-7%s_M5~fH)SqBSEMar>z?NT#{fWoz4-4S)q0?tCl(NBOa{*={0(tT
zjcu!d>?r}uZ7**&T{zx_h8lk7M?dgKvVU}^-ED9KK(LL_o&Hh%sTSy)Wxbd+;o>(x
znbo3JLeTtpZ_qb_JIH0r)>${o6E|O(h&u|v?F8!s=Rj*Otrw#`&9u*T73ZmdbBkfw
z;QZ??c7bZKGQtc>hl@H<|By2_uD&jb>l4BQjU?W70#RN;vn5XWfVg2?t=0AQjC4?Q
z#ACz|8}?{oW+s%8nCM7m{i^*=DgW*m4k`jXMkB|ua{&MNI#H=YcvxGvj?Hy>`wY-}
z!CbZF3+0=_aX-;}7RrZ+xj0A8AT7QtrN&g~-O}w+9u7|7!jCB~=glasnAoeayw*9%
zB*ay&$MSldlvb|nChJHN@0hsa2xD13l6-0X!mNE+8RdR}@b=HGG;QuI?W;2cEi~B2
zdD`+>Pfp+0Tr@J>|5m;1!q>b6w0t~0>zzl!g_X4HY9{#r%liD?wj(vE@sEhtK()r%
zE`vgfNorxa+32Bsov7X?Q6xMTpVSz<pfshAjn%&e>+n+0aD36&8V9n*%<ZZ1Nern>
zlb6H5R!{t!PaD7bb|5KWgV`R^O!(F}Itk+^{Akb)UeX7QU%fqhVFCNjBy`lEp4R!$
ztME@H>yyhtg5aX}!Yt!|KO?&Wuobu>3cO$=z>~lLCC-G-Y$Z{iYAMHZq6X>g=$a8~
z8!KfK6h&sw$P59Z4#bsFmptq4*QXdLovP-VI2bcS$&;q6Ud?amX;n;Okbmt4&5XQV
z*7N_$C-%8l6pt#0JVh40bl|5Zy-;(+t8=pxoAvhwXOHO<x`K3&+Py6AuVSWr_iG6x
zrwKBIllU>-pIlA*%L=wV=YRKOo1X41&bl*lI40&t<aQP*#(+AmlLw|E!-|UCc}kkL
z58(26ZWzO_4`-f$dvE}nToe7#jaxAU2zUKuV^ehobMfHOj^;_p7($_--18GfS0_Q+
zSsslN4o0S|rFMz)ZSVN}!c`U#nug%^MN%QZsuF?vv~d}6w+2>Zr@KI`Pzl*ea4a_e
zC#B_AZG?%b2c&mHM&d?Apw}N!E>h<5S3-D6MX!JC9&eabbty|WNy*Et77z(Q%QHT-
z2KU^0brR_aPf-I}gUdNKRkOx6ko&kS6nm4|^446kts!N~rbo==@YemW_W|KQ21*t#
zU_VyCaQTDna`xQA(ra}8)WPjh%YF|!oO*Px`A+mw4b>L_x8KllcgRs7&SZh8O8H+R
zQBlc_yuB5nOmP^#V~`w3<!X|63B90cK0iK8`aIzpG}+*%y*tnotS9FCfz<}<J*Rv(
z?`AMehA39xo#Sgh8(5z5t&NuYNS?(|*&}t+)l5)X>4dg0m+UWsucPCg4B(J$2sE)e
z03CA8M9_rtPna4pk3%6?k1fo4$n;VBEr>gCpu+LU*~5{+d3QRBxH4E2&Dn+mJRei^
zPaK+ezD!zdZL8`A^O@SYG&OoeeXZyH`$=J{!-r<}hmV<dUhsQl7-GaHXv~Hel{jl`
zI4+D|f&<%=H;)uYiKm5}w2PyseovyeAlEvTbfPMxhk*v(%bdNY?Wf8#9FnjGML8kb
zIYaXl@*RzxQ~b;&cf(#&tsUay!>d0e6{ulQ%<J6*@x}SZdm(G<iwcF+IE;#Jw(Yns
zH`^7|N-Tn=)Q4f&w1`6}#P)I}H1DuT_Kjjc6hL~6Pr_m)MGyEkk2L*jR|4++1f$jW
zkJm-AP%~e(2UbU8SI>;mP!zbbfr-xd?>Hp)mS1@hdOs2>I>8n>CQ&I@GjXN>M#NmI
z%#?oa#-uDLTVggMsKNm=?-(JLUABKi6A^#pSoyKcd3uVY9^{bMJprVGTd9a}DC-8I
z{x^akG$ZW{C>m!R&)BzRMv4kKM4RKDA&VGw)(AeZl+<+RoyKpIbkOm#$?TaXVZeS3
zZp)_ei6r|&wPPRw95UcmYj^Tu@cE?~$NXqO={yzSlfPJWcZ*IT3+<;*6QJO=?;0kB
zj@<o7FY}?>+k#5OP(D<f@Y^^hoad_OEMactL2bc3{vouI*VS5wzF0mz*WrHkbEgim
zpC-vTKyn8~rnA=ld4}xiWV%*F)9p=GqciqrMgg(aq3~v#`Aq<Y5lcJI&&s`cp-%|<
zueY<5JDWq@0Q-J1Dm>ET=A-mt_OoDY44)?}V&vrI+`Pp!ErWj}<3GTDA^K955HMT5
z0%Zj71Y@anf6+}to+pQ=Vy|@2S9qVpL6Rj#y*{QDln_}<!N-set!R>a_=O2V>ti&d
z&X)YA*e;|0<>%s3*KD!dl^FWP=@+|_oCvhYtg4Jm^d1GPD?GP!?;yVL2Ia?gy1G6z
zLbNP-Q0o0~y1Qg$&a}AfiC1}8Y3?SJxq9IS434X%7;A|Z^P;%G1gvN};Jc<5OytXP
zxn!Nm;CQ9+9KatCOG}uDPQ;y03xx&W3I4upc@g|{DJ{E^oR>ojBj&pMh8C0ZbGH~z
zWe=MJ|JIQI!=r0sRb{yAf=O_m)%~32Yyd<27iRn+#~+LzG3sRKF=Bw{1@jOvr6lh$
z*73pDEJ?8W_r$Q8e>ZMpfDL0_t5R}wG$T*1;(^pC(z3{_)=S}yD1*z_Ax?nPxO7IL
z6?ywLaOU(vDj_O8aoC3Dugd*)-K$y$NUP9ngLuxksyplKy@T*$HB)aKvYEEBWLEja
zE3ka|(O8!^`m3YldtF~J-<!WAi$MY%|DQ`qt_cWEceFkbBNQbXvqO6KlgqX3?ob*e
z_rWDJt+V)kzFUHMVF^3x>TY4*y?}5CRmG&!?G49if$;hpNwPNS?swuoL1t83u3Odu
zwf)B12W7%P;17xxItcRFs@RCx`qeu4p};ScY1@HjpEtvju_NP9)r=@<#>r1Xv7S4W
zZ$3j_I=?WL+{%!>+X}hzlZxH0L&V>movlho5@vf4#Ol*dv-{gzvCKBhQjnuNenkv$
zyN!>X)zE(BR>8<;{(VG<=gFvAlJqxbJ|n;V*GANG$LBlb`_;Yt^%#l88_Gn5>*BrM
z_GWi2E5JJiLn_gC+eN_w6Fk?3jk(D22?4+jOhJFYoj?nz;MDH#MvyjI_rJw1sVkdR
zyE&Zmbj2gd*I~UDGoLk;!%KCntDVH$CHkUr+wx10^*i5*LBf9T^R4PJs>UrT5{q7#
zX4Jvobzi#iL4imPvXZ(j9yia!{&7Imoz?;wPYLilKR?&%(6uG-JHs`SIhsgk`;4Hk
z8iBml6T8m|AWbqgF`4YV=KDcNJj-Q{qFd5j*Yf=av#i3h7C8A6tx3A{VXe#PnuOPX
zjnijO5n-6F8v#1_UF*)&_oG!((04*|qDFrZp?#Te1>O`V`TZco&I`q8d;S#55W$6p
ze9dO%J~YZ<{I+r3zM&94)cLNv%dZGUsY9#OIK1k2_$l4&-#|22#0E24y!Q-b!+$l1
zGEO6s-Pr5u>W6~;gtqMr6Pbb*)vpHx^_T2HE66T~W!5a8hZw^qTc#FiIX@LF=iVzO
zyK8l}e=3~xp$k4Vv^$644P^l_fQIOPUto%DPsb-UtMu@kaJmyiIz<c?mLZ?{In{0m
zm6;>?XVv&N<sD^D{hlz!BzU(~RrK7*L&pTdvc+@Nt!UCiDjAVAH+Hf>7EjNjN2*PK
zmPfJs{f`~Q<^RAPn4K;2RUC{;J=7o&e;bB<eHyzrKl>F4Vqh-VP;`Ni6yIwnu4l_q
znzlRZ&X~7&l;K4G5kk1$kfvXSkPvxP5r&2NEpf_CNQhzH46EAOSRbGFHtjDFqQCN_
z=UlV>z{9@B*A1iQA^}lxH9PU$hO;Q2A&)Nf2tz~fqMq<F<wn+E0|@R{cJT|5eh$no
zh>Ga)&31<f&Ng$iZhkDLGK&Maj!7hHSG)miytd{5((juyQTH~a*nhcLQSI1GH4kNJ
zLR_~pmxo#2;Q*nMJv7JFI?V(SAG4N|+D+i=5Ml*xkd_XncbJSk|Hzc=ZEn-HbF6;r
zv=t=fqy`ltDEL`&9bGc;1wLG1@AvfnfD9Q#4_sQH=}vy_m_`|}aaMOv7B^*!5(g7?
zw{CS7J4}WTEn0b-sAvPSJgP`ob$zaw6laOY*2REw#E7eBe!DV)W|dJ=fBcvCZ{C?-
zZ^Z4kb~iRQnEj9daVaS-zIAIKr2Zq8UW|3ab-cLf(Kn|v0&CWkX4h+5M%=6Bn|ME=
zP*+<>HGl}xDKqON5#zuG4CX3l@ZlcIi*m*WmF0j!4fLCX4eP<sfZgkmtIreFun^Cq
zC-aXfis$W;ZOsMyiYvA?5k0F1o}XUu0!KQB`F6}cY@Xj@aakgd+It`mnvGEJ)#)C4
zR{Z}wGGb=^R^*R^ns$8U1<zxa7{l`hFguQcypQLc&?op(_i=d;oYL!V=9kLGk4xEt
zn@XY<7Y0xiE`9LnxUb1ynTTyS+)O+lc15`OIh9j^%LTxb8aND;#mtMI@+({nX%q>x
zgH830)KKBq)ZrSQ+;dZ{YCP=)HF*AGavALZYO76<OC$}Xy+6KvSOWOJi=hzmIQ+xG
znH%a0MleI0MFVV4j*q{A0-`&XGBXKZR?TvvL0}$HRBbhIUl%$uPN7Yo5*(27@o2)|
z%+cikIMs#D{~o&NMtUSJOTe+QN2{hYAMk40bzwn@DPrxJdJ$>v4)c81c+)kdiw5S$
zF2X!eI#ghOeJqye*72YqSR*W>iHQqq#+w|ycOo#D+zF^D`NeXqCfRxv&<nf8NY`Kc
zhl<^4APUK4{s^PId1o>}83ghjW>HC}%+9X%H!epc1mP@QfdN3?RW4(xR5|rh%P7bR
zTrQ6mQ~ykmAiFTN$!{x8iYYNQUkkg!XPfEMr#&>}&n0nYz6F?37<h!Xl<C7`lZe56
zjW7Z$vX3mu31x9#N~-nE<S;p(0F^3isy}WE#uDKRLYL`(A<|d~wv+N^foV)9GmJu;
zXwzR%@o~p?N!^Qgh-r##+*MnL{;H`{OgMJfGJy<`l{jHAbYM1jNFV*oAp$u)xxse6
z0TS!$>#vw|Y%MHapfTNd6@0q4ZxxTGb9~*^)YLRwTpkUw=Vd|nGhIM1fEDMP=Do(<
z%YUUB#4{8CHee_1{nT)Gf1Yi68+8B9dl;ryc)Sl)Tr_n0!%lz=N{5TZaV3OKH&G_?
zU={6l`K=Po%Y4KK7m5B`%kym+Cs{yyc17awMSO-5Y5#<}Y(J2}?OP0jU=GY=mcaWY
zA>blw6G=h*$P_>-LRyb=0AfgHcE2~rQ#Vb4E5ZO4E3-zvaof;3etij`08lAvt305V
zs(D|X(#_{WP^7D!f7c5UiYRGV$&u%WQl@V*GMgBvA_WNukc3~U8bsg%X$TZdAp_Jr
z*>BA4MtTyNA``5}d-*&a4pTCdZM&a0g{ohWqz-Z2F!Zi2jb%5~JlYf+lrY6s%}e>c
z{>Y>gkqv!DyMo(^*FI-$F!`_`=3iYh@hdf1UfFkacn}CS-!nZwR_n34jixMV5WPHv
zL*cEM+mOgUscV}g+D6wSkBZI_(S~R1rF<MaqL>|>#Rf~@<z$e`6xm(xaPZL;#r1^}
zjj~>|0`ww%7@cUE5kLk2Jx7|mykPO8xIQ%$-MTkJ0bpX()RtepYr<b~0Iay!<P7~N
z<j~&Bi$gg_>o|?xLqtfIeCO<9Vlgw442)U_@yf%qq!8!F*dWxfJOQ;!sMgrJ^ZCGB
zkz*s)QQ5?9RXqa1W$$cYqP>C#>;S12D}!6dta`X{Zx04NZ1I48EmMFj^j<GsBK5n)
z%hQpi^7zEx^kB9U+0tz1hn7SlZ|^^TQ;8V&)`awxvx2FM&4w!WP`Ak0e(KUOMqShD
z6c_0h3WqoW#(lHs*}FZzXJSG})r}8Vvs9qu?*hgb#4H%2GXiqit`mS@=k>tR@$f=V
zBq-~oZ83Ayg`26!xJY#rHp+jqi=#y_G7Yx0EBne~AnCJipdWV}Msfe??W>nQF*~~}
z+4Wty7ehYAzuA^FNFPXbJ}$;>*8%VEkJ{Dz%sCEvgT+WaLA3n>!DXDt?nT5Fmml+_
z{BB1RN{C&$)%JJn*@i<-W1b$G8z=H-V;t&o+^8kSZxysgBnkOw&_W(gNP@48+lHj2
zPJDzhxwZ8$p7g(wt~!Q`L3<Uy%boG8&_uq*0l@t}bNAFL>GVJ(VK~+c)G<<stP;L)
z97Tf)JW7D7yzw~;V8xw#XutW*&P(2-(nn*c34%A{GA?&e|970_LKwCwQ$0GY^F;($
zQCELU>Sj4x#85$U8sAZfIuQaup9)3SA5MQ(PU2zaq|CIVGY<fROgC+^QM!x$n<Xc;
zI+iuUB$g#IsD0ehF27cFpVA4Ts)Yg?f=f>z@4?gebvVU6mOsYjq1Ank#)ZgC`#4w7
z5o=T6rV~*`ku+jY9n6Y4KN>WN&lwvXMZ0X-N48Z{TOud-AnrK@mA87gRS$0bdN9m^
zVTaFNT}%%DpR)&qnrLh_==TPA{`UeVKoiLEAgx>N%ICKmRU52ibmti|yG7;_5NEK-
zD}?%8kJ)%<=VN`nz449}%`}sHmxkXW25i>8v*a0**Ax8s_)>J`$WrrRCci{Yph3#b
z;(;?$&{3^@YCl|D`?gg#IdF@8)?tleAWt$OUAicrQ2<KrBweCmIJ|BlE`vVOKxw0M
zSkP5k-1#oUZ?Cb!zxMhJ=7*ZVolU$!G>qS@C|d>agevHPzaK_TFgX7pI?REgJiBVq
zF_ZjaArgk^eT=X-J<Z_I$WMg0Cdv2hOW^t<MXvh`i=uqPhGt?VkT`bdH+pfHD63jT
zbh$n-AV(;BoZk6oT$oG+!<e%3?x+WQGdBw=4ev}@C{8uMbK74iMPf&VZ2<n-R30O~
zxCxG&Nxt+BzS|@LdWf?~^S@i4E$Z$U4eJ_oyzzB1)bI=Wj;1FXQ(1y-aF`72{cClQ
zR2YgUjdvrH!hi>+4+&a}WX0CRIwTJPK%3O4Gak)_1q-LK1i`n{W+o=8pbN>^#DoJ>
zE_Zf;;GLII*!s@2>pwU-Gm7I;6*=z{yo5$kXW;{Ph5t^OSz=mNPN^^;<u_i21Sp4O
zzHR+<S>y7xzPyZqqfU@(lXGZsh2WP^HJQ6snl;9nAP3{2ee6K$1nJy2r`ZMCA|kCJ
zQipEW9;(%({%~S5{5I+O(@-?{Sl<y96zX;I*d(>FWf(C+HHB@bfaE`$vqhQFMOy5{
zEr8^&p@k)bhQYW~(^=!>Wz0N1H^>R2#xpLUxYhT;=?-JpDitI)Hay)_pWP{wo6|+1
zakANp1GDvZuypBi;<2sT)7`=C90BLPb$~p?3?i*&_h${STI$WwHUza;B@$@u#n~M$
z&+lXC&B2WUbS_=*K?0XpR+B9`WJYo0(Vm_jFMvA0EnqohEoS@540I<1?X6VydtuGQ
zM5~-0RF%U<L8frcym`FWCE#c3t1GLA4Ib1MX8Cmjx3(uo5yb-e8fdGwERk-){l;#5
zyQBI>%DfM)!w*pn07Eqg0~8i%uod2|0sL$?pQK$w;*ST!#X<^y{_x^|qoQD7ZHQ-X
z{uZyE(lzKeA0@JmNSKiAa@p?d^+2EFe$CXL{AlP{`e`u+yz@mlBx9}{`CU(C_GxV1
zLSG<1%;8g(hechsw+5EqNqK*kG;~T|RYNx~5xa3L8fjs1xcw8l=0u8e>4K>@{m`XB
zyg&^ks&_Qh|Dwl<9ag^nRTR6}9=k&w+g)WT6LAmI|EFX3fjP_rSvMFGcT)iD!rc>+
zo>JYTjdKZ^b>t41J{jh-+*!>FL2ry0M6u%Yj@afd4MP+ce_3z$!$T7G15opIoc_2Z
zuM^ZoUCL3Ww~af3POr1N64D$wX6P;ZO}8rk|K5M0{kbg@ZntKlo!9hg<tduM_$pf<
zzX*55)ZK*vHH<a2G89An@BLIghC)#t24FIOksV5`+PCN`Fk8t~p2{`v)n#;QMvN7!
z$xfIccBfqW^w|h8+5-}fORauG%neZAJAB5H=pX<}EzZP-UjS-He3$g-xbbZ^x1`wb
zAA%N`<IgL@RT(8`-D2cW7c|Lx294bSnDMfke`{F^<-`0+x(Lpq4&f@MmRL6VXjY{5
zJP8#Zc`ifJ3x|sAnf$Az_H@!v<2h_O>IRRxCW5Bp2c#+tjcq_Qphlfo9;=D?E>b>`
zW3gPzVR9p1jbrNK_$qWr7b@DHcF&u+ss5E;+P$6nJ?7VX<MS3m98a2BC`J$q-riZ@
zrb$GbAMg7CBGwGyXfGxQ%GC5#Nu`R(AO^%7I7qs-y<Htl8<B5Li5n3B8q*TDS;b8X
zOyaJm#K*JDUp=8<iQh;Jt>_M|6oYIsx6{6#cQ)UtzyOX%Qy<45WJ}QW6J+yQt1##f
zL8|k7ta0lk_GRAzGeuA1WJ{!-UCGU(d}Ma(9U1$(!cYB!l|O)^swn@pV)yNNB7QIg
zVxom&^uV?L#J7!-4<2UL@{SWrV><jK<SaBA7ad+^Ze>y{cH=iAKJpFR+9D@pUo^lc
zm-zR^rSn9e48WbgZ%UEIOa6+s{MIpEmiVOyUakiXmo13-G$#=^sln<TAWR6QxU5<w
z84dsOTFQm|a~U_dBenZ0_?(~`zuFoNqqnEM_-*taqDOzmg^kYJe?kr>Mt%1>Tyvaf
z&kNkoLOmvGJbr*cxzUUd(92pJ0@23I7-9(Ew&PFXCl`U&RX(kcp%$cOH7cahBc-w{
zx;f{wU1f}zlWvyS$3!2Z3}-L^?M4HL{X3t0Attx(p_)&J1KB7#y&9T!5l)|MKQ1XD
zzOvj^CivxX_;1zwpNx{72`IsY#O^-~c%hhxnHXW+_9r*H=lSDXprw35exrnLZ^02)
z3(tKfU-`|dv+m)#J>c>zSh8j&(t41V4KjNUKE8z3sS7<_lZy@nGKZP>+0Cj95B6a#
zM?lfL2zzfKuDso&EM=pJNy9wowzt86HuqvQWvt?{T$;Y$pUjI6l@k2m-d)<(oyz$p
zo&8tOSPg0g(}fO9$wQED1inPyQh@|kSjLrUi-uv)(lZt>0`8`xl_${_gkJF>4<+d(
zK-zy&#8xSGdkPRU&$ZU1&sPT8%FY}M<Gw}ydj4mM`AsO#D>}HCz?035$l3R=q4Ug<
z77YoP4XI}3%?rwakCcjja&Sp9fZb(iz=x0V67zWkL}-DM3XY%NJ`g}?I&=57P~X*)
zZ|~L9RY+h<a!$@R=%JFgkIxJ@Ok_F-M@P!;?e49sC#I++fdSAHH?E$9+AQX&y2iIC
zL$XPJhH@<H30)j4Kb>XDv7c2~&FFkx_fc61dZ3G!ob3_7a{R6~R~3shekBXjU}Zd|
zH>|rSdSGM9Gne?&oE+BmIOckF0U5QGlg-^Aq#p$vbXaxwpC($**v+47CU|nJ7PXNN
zG@9%(TKTDeJ!K929`m>F8Ql2ub|!4MpFKT;C1Rv)#9wT7b3N9i+Y@TKqfucS2L-jj
z+)kWwzxb-gorRmsKI)$tKA)$@JMY$Y{v2Inj5YGd3}VLvlC|5*qV@B;H5Z<-Si4^1
zPT}lo$_eM!=i8O-&St<$NLt}IdX*Ao`o~|uF6*f(rhNWpn+j{Lm|Tz(8WEE9CLcZi
zgVR9B!^m}1TN~y}l`E;SrDK>F@SiPD6xa4v>`YCRI(g>JSH0~t)4Xr@NAcfCchD^L
z91BnyNkv>yZp&sTiw;Jee>8S_!9{!TMDjG1@xTVyIT!|Mp}uOs!Jctkf-0Y>k&zl5
z(l9AUo;YB*%)$kDGwA!_Xl-rv2G9rzeR+Y}N_ZNBmgUHNH&Xl%OdPQWk{+<T?KBpn
zB^}?7hrrX!)vz};B`Y$j7zqMKZKbg={JUntq1Gy0Ou`vjw8PPq)~A@6zUAmpEJ|rJ
zrG)SnIGw2sZdb`D!ry5YlVcHU)iG0dYsf9V^FNzSBl%B8An}6y{h4|Bc-%=kB<3@L
zC8O0|Pg_&Pk7|*oN@}{H^JY`|xup)(FNA1zcMG*x^~F&io*kb9jNk(8?B%|bXYK05
z0{Aj>`R-8Z-=!$(f<hcw4u(sn4;}5qkrGdA9_T3?8E0`j+Vp&++Bgs@MNk)MYi@=j
zg(r5DO7UayjJCmdF+qKE95d8V6duF-HHlh(_gmUS;i(9ABepdS9W|gjv+MPC(&p8w
zGNxz5a0U+<@Bv{UzDo7W<;I$Dl*oSPCq&F*W-xAE(V++8Rk>`G_<*koVx*ZIe*IKc
zSE7mY*KE)3jLYs(+;>9lh>-;I7bpPfxWn1rU}UuhXbf;$QBhH59wco7>g|mpahS4s
zj|rr~r;reMHFO&M`K;fM6RN#zmP{W!nT;FthS-=mT=Ab=i~6uMR=W4BDv*lV2x&v-
zI*E;-r)eOeg|E4%puuaBao_4*S|pkA5%=*PAU7Mb4jqLcB}&ZFSY=l|PFu1Uzl+pX
zcJ2q<5yhWm6nTF*Iaie^(An;sSH};Gh{$L1QWs`c{0|Fo5b>*zhdeF7|MR1V_RKQX
z^*CrL9j6JqdDG*;+y+D*cA}y;q7J;y8Qtn9^SJnfjvh80gl@hpR@AZmdLl0>>g7db
zC*c^r@vrW0(Ia9^X|XTt$h!MwlAP<Y&=J(BUU6moHI2C)Mh};UR{VsCEJh*DDpanv
zAk;*?DX$9L4=GeWx8@(Bn(e=?DcVB)$XOkolvH&(?VClG^nOGKErz_D8_G)rNc*<d
zesrp-K#x4#&qM_EcRAjgOwmd7awf4t9^*6&1aLn|)PQNBj%N-4Dx_&#`esMD=`a$X
zP@3H@{_<)$I&Bu|n4m911`|u*g<;S1B2%4gTQrzL5X;cw_O~f%0CGm>Pq4v&H7?C{
zcGP@?a)e~2C2R^;15(0~%t;=Jim!|Ox>K4D0EC~AU^kq<|BP#g=)cg5(*)FYek!~;
z%D(OmH@O@gcWSYJY1%bKxrjnvo)f#-#+#XA`Qg()zZf>HWivQIj+$}V93GSNtRWlC
zo5S8Zy<2oB34>=A<MfXJFcjVg-w!@<bBl|<mn|Q+LiTX3Pw#vNk>*P|Tzie?B2+)y
zjkg;~KyZ`&gC$>$Q7mJ-K4x^5fSbXa$T@HCBnO~J>M5QPMKzh(GXh$Ru?AE5*^ZnR
zT2~{b5r-NVu}#@nOiA|GB=Yh*8_0I_kno=?_YBYm=4Ct(hW6B2@wg1|G5JIY{_ZQ}
z`B<?ZY%{x7sfE(<SX`d6#AtO*!hD^2<1!B)`Amjsx&rJ`=67>WtO1UqLKbw#(MVU@
z(9*E!TC6HH*l_{?$V37<<wUiuIu^gYFtUxp6$h-e)w*PsuA{<e4D>{Jrn0S@XGo5n
zb*mZl;t!<>5O!Dq-pW#k4yLD<>j(fXgyf@!cJ488b9l59BuJ!yb>>8SH3rSUjr}8n
z8D&0>J5KeE=omPCg=))_DiXGw*@~O^sJE=UZ2E47_ce$FP46wGyU}3&aIwd4N}zIB
zLuF`d`fjhzCG&_DS-44?57RG3CMr9O^V#>eKk;V!kYD`G8nj;xjiIeL5-_L{XJAT^
z|BNEFc`}pVC9rZC+<)ru%l?b&@^i&?qU3%k0>-y{&5IWbrv)>f^5f%!0#!#6O5`~a
zC`}na`p?AJc!Sw&D$@Yeh64n@Nh`~N{sUYwI)V!g{=I}(@oR<)%coc2Yzdxayk6CL
z#!enj#U~#-_jYgGvwcz)yGOC5f(GmJSBZt2hx@v{iKya%K1=cgfy;FoqZ68~bIdaO
z;~}`t?9J4pwTy=j*6wb^(33^dDZstkEB7=24A0HlSyhxcN&M`c8%Wh;3gyulI$LWu
z?1UT6UY-(74skdk-i}<uk@$iFG;&P-F(r&Q=I<0gO1tW7f$(e3Ljn*)j6F?f@?H+t
zO%@0IGudxs(q#whi6zmBJYAB{6kI1>?%}f>TNwu9uM|qLNj09_xslt51-WV$u9=#^
z(41iccHH$eIH@{BTcY7jMVbAos=8bNrM6dn6u$2;Q`AyK@!#Qf3M3tmBzrL(s^``-
zuQ;ld5+?NO!b*3Yl9f^sLW=kSrAO8kT6AHZLkWZhJm}WH4i`{TV~IaIK7&xF196t%
z{)}^iQoNb%#vGX4ij-XSIq@<3jX;peNByhwkGI<56<Q5r8-6#uH#z`jc13^89NjsC
z3Zc$GcqJR<b4WhFWO<;tx|&jib0}ID42)FXb)@_eQS|{(Egs4UG6EAh_KYa5WYgtC
zb$S|CXlqMft415)iGb(#uUg66jJ^{C=i$1EL%QJYtsr*nTAeS-%^kTr_@h_w-n0(%
zH$1#t?kU`RxX6yYo})%rY*um0^EecSuRtQoyoee`Itu0rofM$ugM5sZtYkXn>2s5~
zQeE6rSv;S=Vh}-P*>{B}7TKkLGNGF<N#0z+zKp=}K=mt|giA%6u%&C#4)CnF#6${=
zS*_XXugk+fppIc13kT<G=v`e+t*NecH37v)k#zqk$O|Jdvvln;8!(k=GdfGMe^M1S
z{ZcqFHet16A}eGtt#RAEjV_1LB3tJ^yku;wT9zcP5v9|A2F@&oKSY7<qw}TOy@jgp
z1o2RaM|I=WXt$fFS|dW}j>uLVZQE+F7dEAe^6hoB%w&~9_jUHDwLO+sv>XNS>G_h8
z_B66jBdAoe6}p?X)-pI^wfm2V3PJ54e4Y`Ue+}+Kt@^X%=td2`cFuHv{{TZm0B*;m
zmf7)Y9>s*CQnTq;Qm{HS1IR!Oj6I5}gc<ub-0gi9aO9T;Q|<oFJBt5p)-Hc4yQ}{7
zHr~JChl&!kFr1cQRAFDTt<1^Rtix`^b{SOJZ^J8Yu=>4?m^>AWfZS-u@Ohp5XUB5X
z%ESymQ7Wr%Ji&oxr?c)pit-R&_y3({!5jsdi6PuKR<zAzkSCV|M2TmDKIo%^gDhzU
zg)g9=F1coQa<a2$2d{1C!_ooBy1+B}*8XysQH>|)<<>#R03!d1)W4~)mSiYaWF|bx
z=Liaj<(jBI5Pi+AnPx(Fx9t>!5Dg97VuB0CO1=>pM|bwf-%{0tNdam+CXpdSO>m>G
z5F27xsO~Tk91|L)F(g*$j6q8sATQ+6^Car5)Zkr0w4XWx@J=isEV)QDT`s-8G--4z
zB(+_oEag?*ej)@neuQI$e1*QQp1%|e2D1C}lX@0O#~EfMs4L)ik8`-zXfk|zT>toY
z<Lr6qeq8&D#A#?ibsW2!9Ja5<8;bhztbEoJ{jY0{Ghb?>X#eqUt$AU0M~6oF)#K{&
z2QDCO6R^^*T@S0nWjOJJS%MEm6(l}Wilz5-Ow58xQVNM0#xTFdk6&hX97;fQ+`ip~
z1Cf307`n%ebv6Qc52Nl#7G}yzi9t@P8im#qb$Hs+5uLgqzA9ksGV?FnO!i%Sk=%4|
zZxK=VaOxm1(xD%Jrs=wfrfvCP({~Fd(RO9(qNbCQ7l$rVw{*F6&*u?4ytLFN!Z<un
zlS9IK-8!~O-3wOJOt_F(nANnFLq7dc!*+cE0In21n;i+Dg|G#5$O9iWwd5Ha1}fDx
z2KZU+Z;eO%2S;~Ngt60tc#_suboj5|E1PHwK+Cox4#(3KEW7VF_4XL4tCX3b9x*`Q
z;hol}2?8d&G<rFNxIhBA9R5mAL-1*g{w<zS*Tuo%(5gt}tnKx+3w`{7tQ;Z&T7zq3
zuG3=k{dcq`It!=-Bj2S|=gKWXWS!at2QX*7_lrvWd6Ij$i^ACd_dx{@50Dzi{p}fx
zF&s7H*7eP6-84ihm3I4~%@WAjql}3}TZk&IjMyQVbCr2{2ixwDPZKkjTo1HtQDh#H
z2LqsaGpstJV82HHL@{%XhnW1M0@`gru_$LQ=$Z}C??)D&HY(m+tv_Oado_3n?8yK^
zdBN!~zR{oMD53ntL?Y_^;8vRtnv_%k@2~zR`v?vno!Ev1V{0|H$aLy~Lbqj;$DXjs
z1pA!&%lkKxRfu-W9=50fkD*;4)_mj94^q4O6$~y>l=6dQ=e_G&w?;)Hrrh&7f`r64
z7P84!$00>62=TyH4UL+ooyETzE_`pA1cE5b+!xTxKE`{xAkwcJf`=C>RzZ7vetMD!
zI}kJBy8)W54I6%I;|zZLx?M|WRS#fF{NKsbr+F*(4?g$4v;yu=8udMd;K4LIqaV2j
zQHSJ`5U6NN$K8<u>cjCPH*}^|g_svbyICNSNpkitbX@dpLI4{`kAy?BAovqiI|Rzj
z(QNT?baaFPypz2?Slqd@<p-2+Zs+#kCPFb~FcgV{(o`fUW5OgxI-3(it1@^@v{?WX
z*{ql8o<gmUMVFU7{txajx+;+oRN@p{+QuQn7#aH^@-0>kq(Krq$?CND17Sgn+a1H#
zG2{A@V8S~=3~mAv5LW}^Y!~JL0H8q9n8pzT?mV5#CGVfH0Ipr?-KHHUJ!QFR@%z#5
zi&(lQhu3h9ue*sXE``sriP3aXGx@2^v%R(d$JjT8*VRVdt~hCIyRmJvF&eY6ZCj1)
zG-;DGZfx7OZQK9;&U5~&b8~L@#ll?sog8xv?kyASwD3LztO5j-T&}dhG05V(S-C@+
zyGSi!nyGgTlUbX)fA>vC`LDb!5JC$h%zrbT$N_#(p|wenIbJ3};MRZ~O@zCf^Y&(b
z@KN>R`MrfK>88hL{AoH-Q4_0EngDr&`py-(t?q|GUEQ^W5odlQ@Xy<x=F3l71ro~6
z)?1{wjWp_(tF8N-LpzW7v$fRkO*@Q^pHA?E>R)KMdn6Ayy|0Skax2Z#7#VY%clW67
z2PqW(06>6=c){UIFY4NVL(Q}fSM#e-DXepsq(fl?GUjqwomMgeWJx}4OaR3r>xowy
zM*TqHb10=Va+MS?>=WIF)t_7sK1^eHAqPmf(pDd;(fSWfrA+7fp&$CSR9QD0QVWj0
zhMa$0^19*`q#uYM6}V9Dp*SP+ZNNzW(L3>5U7}~S(yVJygJE=GA-5wia4o8|sP<Wk
zwu}oi>z$`ARui!;Ap)i9^IEut$8BLh4JNw)kz%5q6$YZpPeE-kzLeLRf4V4sO)H7j
zp9IvvsVz2fI^O(xyTy5friIXkVXoo*aG#W`B6Rq6f^>YRWsPCkS9eMpsV{#ZbL+(s
zE=aifFe|evxqk8ziT*KI!o=Tqu_&VcEvlXlgmU1P9*H;T^z%gy&<98ghTZo0i6&h@
zTf>C4qX=1F+uW;Iaou|mDE~BRnF4SHv2SVrI%}|)Y=ypVKJKP?3=_L@vfz3sa<~fv
zt$bu(@>Jul`7O=l@pRa&WezwfIAT^9E9F=-by{EGx;CP;Dc<~bn+x-5EWMYVm{?qe
zf8N%i|LSRbDtg<`ANs(|4Ad@T%5>>l!pcAk#+~7}-i<<Sg+~CPE(9@B<+^9>n>Z`E
z2#al_+~SA_@zuiMdZ;=-;3<Z!bj&BkPLA1`6sJ@@{y~Zype&S*58(4vZ+gGnmD%tZ
zfC)QXwUQ5@Uq!<)NMqGZK0<z;yBPC1xfA#2X;gfEX=JVHQM8PWhzVUl5IrD!h~yJu
z{TO@xP#WtRF|@|va*n_&Wo?qA>HFlg^)r8%tCs9u+I4IoYf@^C%yu7lrC7(5?GBJd
z)gt?r=tp2vM<*rDS3qq3-y|~u=}%MB(`$c!|KiPujI3;#mp4o!m)EUY24bVWqXb{D
z;WCiPX{+t<(C1h*HA$ew`)>!G@Y%mkUJyI(MHmJ=fW1m;wd?J4htDfl??poA1c9oU
z>hr?*>fTfk2|%q<^M3G>`;t=m`|^yg`fVUD)BCq1$JB}^(dNrMd^(S5xfnPW)WNun
zS(@B<{|fTFcT{>q;4lt3T|YdRZf_frRLr(bol5iv2E$#i=3(&47(oI>xtB+RB<An+
zRC<=%x2kXpR)mu~>ERU`-_HW`o|gF^mp5+JTbFV0LCil{=s#vP1aJ8vT9Nga@R~qf
z5iVluQ|`E%sB{5?-LSbA9P8Va;f$5huO7)q<RTHB*4@9?S!k};rpw}TkIxYO3dDY2
zu`U#IVc~`&<+l_;rKBKM^wmun56%}gsd!>xxH88}L-X4t(tAsudYvYU_R+Q~7qs%z
z{ON-7X7EFGLj$ljTpsOBGHznk=H9`#@aF+x!=SmPC1pL0%?&^j9_=F0&O``=#IOF#
zFj2%e>nRx<|FQwKRNa&0iuNlDJJJ{I7rnmh?m*m{xnR2g-B<n9d~RuRaZ7TbuFmaR
z6eF52Dy*ECp(Ko??$5i;hi$95!tmJsxXv*|I@74j;n+9h#U6YgFk#F9PG=q%0$;o3
z0;U@U@g5Zvz{@sUBqE@o#_A`1`$^zg<{^>xUFnA5YaAhkZ0B2smPU@{vCSDF?9C$9
zvX^F*xt=?i*`UBg#y*9@WC+45Vr#>OAOoxTxNWWXrK8K^ok;yVYfdfrFPkMkhsD7_
zJMx|%w+mB)7aL2+7PYvu#GDsiYpk{|6~bo*+dq=z^jpvX>0{&0!-PVun?OwHxQprD
z8FZw)1%$ScifP8mO{cT(7pcZn)g?{fgohAI&IJQJbyOg?U?QDLnv7#?4Q76+MfQRL
z4Al_$lM>5OMO4Oo_+J^#T{hqk*fU}nzF+8W&*D)fYNMj&x0L9qwu})tiHBqro7m-e
zkK@Q|xv9iv*rkE6rginX_`p$TJ$N%)dFwAEB8ry|8U3n*Kx3-Ma2wci1YeVezBg~j
zqi<q8T)z_u;ZHG;={G40W7@S7m!n(lv)(D?(r=kGD6@wpDedc2S@Zar@G^zGN78+%
zN|W<g?ROK#18&AViP}&NUJzMBR_$~7FaGVDU<j@Y+#nndpfDHV=E=&GvY;T4<6sc~
z>!btvQo)y4zMj?M^bFTMKEIJ`eYgsJ&ZI6boc9suO@MHhaqLLMu!sx{Y{U4<eiFAH
z^C5CYgbqhIIt8B%C)+mgFpaYZ&df5?T>>SINw5mLSyp3GGZf24-#MMGTcX*Vz_@ZL
zX*3;a$Yk$qfq(LQ2lrkap){cV8tFeVCc(=yuwP>%_L5u20dN3}g<P{OdZoVNfxph)
zmI>5Olo7=VG&X(kh<4SO&szrvo?m4h|CTQlD0%T`7TbzmR`jb%HeBz_&~QWgr3*rM
zbG&rtNfS4@qV7ux&4UGK{&R}MKq?*%rTZvK#ijjYN&4Yt?YcyM7r>$ewLA(rZpg$e
zQWYx6C3?>9F&{>rdgy!mhh@-Qfv6QMdfFM;w6pmnP$K)x{!6Y-YJ0YZXNDbvQP305
ztmnC(NzP+3O3o}U57k3$a6<5+8-b<kD}TNwcdg~@##VP(nq6Hw@&L}Bkd)AhgXVAW
z=#HD2mv(z_;Fi_aHjjg)_Bz$_cYO@e&p`*1kd9CLV?iCnHqMyhcu~=*=@90gbAZGn
z8TB)6UFzSpFs@xL{{bS9&X*=(m%(W_{r<^$h#XKGjY0GDD%J3D&6lLXpz{`+&$Cr^
z-C`2YfGfnStdZ~Luu^B)4GPcpJU&G%f7il)>1$A8R_@tBR%vIp#|V$6_t~k$<yc+_
zd*&Ej-gG)|kw#8O7xbDx+*WekOPrq8%BJ!1lI!}vH*M$?#jN(@{66fw?RPE%9bZ(V
zx|#1|#~h6*IsTm^pL5+cR&OWYVt4;7sEMsJt)~9|IPzuYNQ;Itlln@MdUP(@Whizt
z24QX?4Iwx>ZQA)h_#VAvdw;HH?h<Yat^-o({@KWhk!ocx4$gNBkPJOorwe<0e-#}$
zs9<1F#yD&NckJN^+$N{U$l#B$&&||gwl*>&KZeEU;7!%zF={$0*=3GlNTd-&u7fjj
z0Y~8<_y5s%027Y%{4!j7ZmyVfF6?^BQ@-qupx6HHqaO!q*~ODt=2k{mQxy<j!kAz9
zUUkFx0v9o<zAV!(wKX+J47yLB%ig!#&81eCuZ?bMt{Pz%2sz9qCn1nZ36Ro6VE6M|
z!qQY~gja4#7|IBwVB-5Pf8#u=D%MWbh<$}Y%6Z`X1-kfRDmmQ&(vYI)(xL#|EehI@
zaFGJl`n=xZ+5LyI*rJ1#;CyjuZAYHsua=38*K*&9lG+D-@AG=I&GZWoXXje70y;pL
zCPn?*9mliR73Exv9j|mtW>jtG*={eA!2N)=vBKZVrlmw$np6xHSf)E7`v#moDz6i9
zgFXCQZ%jfx5&l~*6VdxV!s_`(@f?w(vkOn8u4#BG#7VsGcT)+*9(UE>!`01f<UT5S
z1=s0I#Fx1^@Rw>V4!5>TzHshcAJ`sk4KYv@Ssax0d8n9NXQ_~yZM6db-Ye#OOlKwM
ziTFGHJO)JYz4_argZ3B}q?eoUZk4Qs79wFj-jLrO1#H__4e4`x_qm?Z7!8)5mL<5j
z{?y5<`-<*8N3ZR!+Gnh$B-)J46RNiy6D>vziq%LtCJrXnr%>7b6L8YBU5SoZ7a;xG
zmnWn6!tfo7XtIcpL;nW;GrAVykdp*nNcIm~szBLCoxM3Pqvk9&pX{35qw*cn@vMm)
zEfc$vL+Z&MSX+Xfwap5&)2Pe!z(z1Ps+`aS*REfp>cCt(GKuik64v4q3Zhi3yP)s7
z?W4fVQ^n@iW-5Qk!l1#Ce)9{Q?(1$!b*Sh}sOgsUa!ewK%eZ0Hx()aQgk{3=;u{ZE
zAv?<3D_5O<8pZu^0mp3%+5Nk{+sJwa5B*lnL|%<3KfcSp?XTzXfLraGI!xr?Tx8%N
zfMd|7D(gln#(!OSYu<_XDn><rV4BL}rPcy-a2RWc>rE?n+QM*Isg17w`x-jWkeY?f
z$45Hu=_#DC*BA&;kGy=f`6h3CzkWRcWj*=VLvKe#tsPw<XQ$h`-3hHx!*Zl4!T$@c
z)zO}#Ya<9oqX#c~2~M5w3;G$EfY{JSi^X8hcZA9hW{a3)lvzFU(OT&e;zt8RECs`Y
zP4fvOr+&W24wg=IF}6K4pc-y`MZ_~5s_{U)V%JQap4{0BZf&l(QwJ~AZmZL2S1!t~
z*+E4^AoQ-uZdOkB(D7|tT)K}AYvOsmChIK~J|G;~J^Vt8*__I<SH(^hv7AG(Z)fgt
z-=6inc|q{GCl~7T8m6t4iDK|x8Ca_Qbm&o9CaC?yABM_ULM}SJY;(MD1ZYUV>{fdT
zjuEtfXX`%Z_ef%vBaBv%+FWzDKn(Un0IasIlVJ`ra;h2?i3}FqY{V7cE<`F;vEC<a
zbjqc#k$3Ji2d?3$4oki<pq3GPc@3vFRn6*W-8=qZ-VmD0VP-N>Poqk+zr0Z3!$E-d
z<O2x!-N@Q|<-ZFawIQ~Nk$;0s)%W+cSVsIneDrl4fRl+jAN9l=hRUC*9`9;38_&#v
zt-6c5eSM!zio0BGytE2|F#H7RBXOAatxZiiWKJHw7H?i|@`4tQwuc8JhvdaSd3|3%
zYaMqW(dR4x0qV-m)zx)?;l%fw&yhxs4uU>B+NSJt$KQswf1iDWgRwD))H`g2k_~t)
zniN%26bi!2UdVI!-pD%}gAMuZY#f~aH>EFkRi8VuRk3CGsCmk>;1B?j_H0;hxO3L)
zaUTeup+f-ea=#}4>m)T{%HQr$t94Ff*1({!MrKvWoRT$JMqF)iOs;b^;>}}nQ6I1i
zt?d0k_(l)7^oJ5hJSM9BA(FNvvFjP|MEal>OU&^QWZ$j}NAGY5jhU%r#|>%MpA-T9
zmfrkXFY*<26-YU6Lm!A<%DGqyM3_{X0T+LHvaD>v(TZjOHtM6a=I7^Y$traPFBhUa
z4;6L!pRf5>(7b4#ClXUrv63==6Y(U?q_D|5o2)%Q6w)nX%i;39p$2pqOX)mQY8eNt
zY3E&Ve)qitl&#i`#hg8+qsn{J38G&0&`}jjh^M)m{r2L1Z+a&46~UP4f1c8bM7duI
zfmd*_Th~7YN`dH1-CI$oxu&1qpN+oK@sL4VXuWYId=BDzsKErQqK&V;-pdA!VofYB
zvAWxhK$;s)qFxd&ws8dE!q2ubq3@+L{}8=udqEZAuIgay*L0YSadxZHooaHm&^4?7
zSuEEg)G=n7$N$K2d)%+w`z@^Nx*dW5yE+y>GaYbXpT0ii^7k?tlm-5oPl}|M3nenT
zd65$EyObBV3$!)hB0OyM`*%2p1XQK3WbJh?oF<%6V&XT2l&TCOy~eq<y)GW=%YX2$
zDD-e}$tebjR+pnSdhwVT+GZzEna<#QccBwiZx}%W*R2hdab>MixChyq%SQ$MVG`^4
z#c4Joqq@$|Jp;$1*zEeYq*_Lst9F-0MLHr)Sdo+J6O6Ax@yOZPM@*4cajP>deLhxw
zYDI22&{O_sSEIU<i&<Cko7MaZ?7jPBqdr(g2jAl)d$fiPXiRm7@jBPmQZX!J9TO5L
z%f(sSx1D-g2|@Ek{35Q;8uAChaYM-ZyfyR)$!Qt?vyHB#LG?;ca9TziM0%_x4f^!i
zmN)3nnWIf*sgk`UR<_bo0h$+uj6GWM0oW|C0O721q>hJ)kB~#d&%lSJi}L$bgO69w
zdsiVSAkA`H7|n4mYVpx=W6Z`*zouj5{EKAABzNA_{Dtf<kJM#OvQ7sK%WQXGYy7>P
zhacI;f%=DB%?|YD$=(flu*kTys~~s)OrG~gAn39KC+6kO(UcK=%joYE#z<+lu|e_C
z71dUVy-i=bevh>+fB+b!&COc!d4lWbx6gPPo=^d=ZTgpS<tHt=l~n+Dct)`oKhda%
zAV7&g#P1Qjc`4LdQZfvBP<^js5)jryh&91~boW|!Ze}L&@r%+hNfbr!&7W21g!Njk
zA2q+$G6X&X`kIQ>AjII#txxnwe|m_r^vV(OQ;htXp#o&3-um{2rgx7PNZC{!yZ{H}
zsosvOoc_*>;a)a+QW}{W7<*`y8qWjaAV>D>I=W-t!cTeE@Gp7z{oejC3xcmB#g*?o
zg3jwqMuW!a);(y!Y~iy*uWLLVRFu)Y`#B*@yuXRs7Uok5PynSc^POGeK{v-#5k4)G
z2eVLkh%7h5eX+P=Jr)JnvxFVLY$axOr+(4Te&YurE|E|)K8Y@tTHEWkCK)aN-_3X{
zn>-Fpgwc8DJaZqnx+C!I$zJAg0Ck}sA~423dP0CINcjAj3KEmwBg7j}=z*SY;X`3r
za7aZM84eLOv%wcl&GBtNjP_ob%y1a#aHd4ML^RLWRbG4y8Aw(ED4_ZHXB>?Ng$y=>
z+rwun;X)@5FW$%91$b<bcicUh2NP9kxN^XX{GX4SwzoZ6dCp=Zi_N5G=-1~2k_HhC
z3`vzQ)5Ud~{Y?+X*e1_9-c#e;kBhN4V|0_OO!K`hs?L(AVin}y3CYb+#=UBHjXte`
zCFd(@qK#|3kAIeQMRRda4|<RMYj2C;jXw_QS_6wOeRzCjp%NS}8|?hwk7`28f5bHY
zFBTx?(c2384(P&v?eT+}Y=4_LZ5M4ZMt9Npx&hlCLq(6Ze+eCq9RnNb_?|-b!~5U9
z^Pio{A8B+GFFDyJF<ywWk<G$vjhlp>Gg-eIeVW$46PD-c-?816^nbhTTjO7bBsCZ^
zVo}U!?sK<WSh~r2AH{z0ue15F`{*o?x7=Vth%w2!eqyXX7*mWT;PaqmjBW&v^28dj
zsw-!S?Yyhy^^W~e*;IY~s;8H**on%i&(N8F9Xgoj!J>1I4E(BPQ(4r({1AX?-2iuh
z#5MY$x`Z9VmYE687%0U>cPWg_ar{_P)&D#v{#-ykLkheh@Hf#^KdACQ-Z3bSh$rn+
z;%pJkg+^f{Z1-<9jg9@(?0D#!;MxpcK$v-Q=#?-Zh&lHX+sC~)nR_e>WkaDleTZPg
zFn0v+F5-*L%t|YdyXfH1<H6_e<uRV&j;Zjt)8c==smxe6V?OonZ1+t>YWBW>vJhbF
zK=Cgxqr>oW-u&TW`YqrKK&ooalpOK{)mR4NQ6~j6Bnb*sae<abj&gZjPYTE0B+NcO
z8f;g2t*oq&Af9Lgjw>oE7XPe*TjLBs02{y+8md6L4?hlqpNh3FE^7PGSSK=caJa8v
zp0b|aJ1v_(R>0)xeQv$gd}$kmOIqTzIZ_A53y)uxFZeO^PJ+A3i~_{m+=7`a#Cb#(
zU-l7Ewu^pLyD$$yNbKN+zaL$I5DPaikNn?V(8_^8u^uYwEbgwc<2#Y(9naaO|5rb6
z73~S0{p4NybAe>v)9(cNfe^ctm(7ZP*1Rn@M3AP4wcS{7mMvluhz&i5F{(>y+QgR#
z1+B%4h6M6EU1NKc@Ns1)q>eIdn_y~omyvr6EXp(7S3%wy^XM>1GzyN(4Vs058iz52
z*K)V(WxcCyvmq8uMgz~Yy9$X9&BrmV2mujUSy}Z_wc6;{y<;zI-{zh4O=cY5^IT^M
zVcl@e`-rOw;&WO3`YQZAU-nH)>O<u)T5BPPI$FP?!19CrLKN0BHr_Q)ikr;lsm1H6
z0DdL6G^BqdgO8BA#Qz)@yGExkYhEu9Dw>p+#6nM@F+O>qE-Xq{%Wqohv&o>oo3Vd;
z%e4ORl^A)<uw3}oLS?ok;O?@1L9=`MfwsO<LY*2<N5zCDW^FbF4v=h_8aJITUm;<7
z(N&x1>Nf8|Iv_ccVMOVnBmN=gx<9Flc1ltyCu>Y2Lsx^oI(a4Tb9*AVJY#>j;LE=4
z2_VeIxf6i}h?cMMFlMPfE-yb@7`(>D1z4E0-RA?OBcM;#&y(3Nb5w+kwv(@24Zs7G
zRtwDKaEy)aV?z2P%2_;$bN#%s1G&CYvF#wVVJ(haoEOnH<|r1;8<kcB!BR0`U5_HV
ze?xz&ZuT4oG4)Wt`$RpTJqe{TWY;=A_wW#Rdgn7$F-uY2Wf-z=E%O<-jwh?wo0b0=
zR}8M+$uKA9gN>F}8MBoYJ4k;gA8+XYK&byIs%mpRG7}-!rD2pe8~y4W5FnZwU2ctn
z$~D=3#vEMvwSN{hVSUxqOtWol?465?K&Ru^b;7~H+`mv@%CT+sX{2J5`MfmGMIo1Y
zC*{ew4<n1M6*1+-ul@^Ha?39Z9;uPAk=!TN(!5?457ql`Fo28Oqv0U_W#Kw0?&Mqv
zb8!sbJWpYV-Gb+?RNtVj;zA5AX}TxhQ7HXOtCPsCx?ZT}1>(V3tYgqr-ai2|!##;5
zyyrAF&?#Jk*cx*gB=&pSMh7@0KT?=zhasQ3Ven9$<vVnCy$z15k<S@z{j4<4yM`SL
zH^`=Jr-fXG-u7M^{QW+2*2C>yajp=6@5nNo%nt)wF%yJjkLRULqV3*ba9M7|7K&q~
zc#)RJP9=jgJVKJ#_K$7Y)mb=LW$Ehw1ao<=)yaa<Sc?w?ozE&aayq%9_?%y(=yfC1
zetgr}nHIJ;!*S;zr)f?od&I>Zq8$8SALhnf;X}#FG{)q{ew^V>mo{Cy-giTd&s?I$
zD-bEHzCsJG2xFLRM<Y@MS*Q&O_~UA|WJzdmLTeN7Tpu>s)@so!)MKlO6ZyM|UbM`j
zP<NVk6l*La!N+H5N<<4LrMkj$t~IRoaZ6d(<Duko%)7i%*ZnKs>quzrM#sg)!YapU
z4owW4B@4nXZR2V?V@<8e0Tj0G)n1W&)^~aN@p2nJ*?^FBiik7DX1)?w^l1dMkJbgR
z^>VG+H!6i}50}{@c{9*)#HqN?1Ljbs&my{;cN{VfJi}Js^PLBCUJf`qeW?|=zJ?-$
z>q9!&Ilb$zo4*?gxu0EO16$8}%J_UDsQH6RXHm7j_cqO^P>cOs<Eq-{pe28q%BQR1
z?Qb!mR5pKYr=2h2HlHlX`*=caxKY1Yt~VUH1E~ci-|p>L_WwlU-itGVRkPYU^)S#o
zID{m0|GFs00|2F8kPua)gqL)9I%6ZWcS4(M!7s|LhF!en2-S-NZ%N7@KSe}<Z}~9X
zEl>;D?u&RhnT{7vEyZitn=V>);>i5n7JlRC>tSF3UDc!g>q2XIJi4uWXL!{FBoH!I
zS`MvmhN-jomF&FbsYv>`53ZD~e%u5xOc3E<yZxT$rMu?6<evPY9VKDiiiLs!k4GYZ
zL7MQ)RCbCSwz(?=13r3m4ngf7L=ocDzaeiv4l_H!y7lKUTsOlg$LoG`Ux=<E7q!$)
zkN#2Mpqa6Qh9FJd+lxuDK^IKiQ;};|tNEAXY5mWI=nL-p)tP0p<(`4p!}WSfv{61W
zIbDhFx^OtI;OnhAXUa90t*qt|$-eA^`$51#-*-K)SLJ$lwV_+U6fg8(y}s!C<zI_d
ztR#Y1&ntEJRwK`a^d}g@m#B-2<#-he*B8zBKrV^Ixtwo!KQelW+O(-wJ%j)y^wh;6
z%YTV9cLnN1bn`#-QfZdEvhFwT(-)xkQZ_Bl(%ly`vnS|a-w|~LJfPs+Vx!|WGtv?x
zPb3;w=b->d{gvANN^EXM%8i@Q81yuTyG{J}*SBxQb{+R8lP~toCJ)Zjmx)P{G@R>k
z9Z%4?KF{YzA*9AT(Ytf=C`N2QRv~H1!9X+>?e11G=}_)=ED@34^&Ou@Q)z5#*{m+L
zp1rTklsUC^zS=33EK(;O)?&hK3-I#puEJB%swz*?;0;|9wJEOq0*ag03WA3+lHF}Q
z-Za7qbk~9icj?=gwK4K&@NHKwcJV4n0>O?%z(3QSmJQz0t^^ySvje$r3o5I~gg6hh
z0UBLRqooslk;Ovh_X0RVvL8{2G5X&~DX5LMVoXvxP5Tj@Q;U<-qzlt?D1;x@DFBdU
z7%wQvmjJ2$$@tb56&?JWJUpG#ZUi(d>WOe+As4jfD<B2E21+LLxGFFFfdE#yqdL5&
z$Vok)*m-+06)Jb8FO7q?B`{+R{dA%_ey!stngo%D%93qk36GKWf~>jPH{7}HY@6J}
zHXO$n95wx(SF{VyVL{SH0sGIlf7*Rj?8z9?aO=y3AOObi{g=eCCrQy>>NNdA2F*mB
zZRP@NBhE3Vq%kKx`*H!18=G0_|IB6HBZwu92`Li~@Ki6gj}3PX#~gNXF_zKLLF*uL
zC&|znMiF5y#@43~V|}-8c7d0!GcRxP!{#|0A9WjlxT}e@bhvl+$6G46kmQqR)9Ko{
z6TWjTCc%nAf7c58+{zq+S?#4=e;h9w1pB~c;n@2wlI436*mRQ>bJ;kSga6U4Gofec
z`}BE2e7wS3#(M$r4{wW3C03yRiOK99cCuVi(UX(7nSFK?_@yfFGqHE=s?IWDy)=ZX
zck{aUA1X9ajE^+#D$70Z)I1>(inskqaq63BBZDCJYO31+W?VF~S4_{3YVs-#S&j5N
z>NGwoWPS0(z|ya$jL!B*M2!WE7VgTE`jmVktZHfyJ5{6aG9{MFC)sv5$E(Fxb~ydX
z%f|XBFSwWq_pOPB2ZL}Jw;{gA<iuC|U6)`!8|y6eRpN{gr2>P%oH~ej`rGaPz;(hW
z0Dza-7(b>7-hd(VVC2eDP@x;EY~-|hpU3z8yWy0(qXs*MB&@pr0(i7RlP5RzD1`8Y
z^999($L2hF^#m%}g=x<2QRy-QAvQ@*4$th4xjS0CoySXUtq{m8TNET`PQm_r#KBxY
z6ZGAq<<^DD(NY*7HVqubjAc6xW49|W>Umhlp{|4DE`9jCTu9LIGl~ku4~z}((Zwlm
zm(%$#k_YXzJBSv2H(0-GA*8gaS<ezm9T(Vt6toUz1LBA)b8~dkFV;MsXIJTgfswK1
zCyE^`;uXITR^yh*>ZDD!p0<4^*-YOebn-S`ufh{jofCEF+;J6rXn%^jrvl6FY2uMM
zks4ATYT!_aD?E%eGVgy|PKCH<u3MM7$2-rSra~^;t<@NuMhGT{arlQ?xd?(6A6$>5
zgA3WH|C}X~Ttxc*9;UZ4=9?Zj)JFo!8sE^J8Tk)wE1p|?vX0Zg#7c@*ir$j~9<I9U
zgH)Yf4qM@Z>|ay&e!_l+<CaDKV|M<DN7d4D-8EqD;D4*3I#UF(T`jfE=hb@`G81+*
zdcHg}f_Yz%!)~dfIJaBhP*(PL3RnBy#5Z^5JeO2v-KgbkU=&13idfaYiSN+TC1AKb
zWwnKtc9D%VkduMW?pjk3_(jq1D=bTTbvw6E|M$N`CdQC+l6XT5yUzMC=uB}Tb|Y|#
z4N9ih$s1+*C0lBl?T8RwYh^Q7D=zj^kc^7{ZObHU$%}eb3+qBB%Jbn0gxa&PhE{9&
zb-tCyXCK=v_V-B0tq{-Iboi9~o6gnOb;IhrBOb=*LhKHHMMb4#pNdx)aq@RJk;S?A
z-B&z31gWs)JBlK|02Bo|pTCTC_%;gk1Cbu_r8D^is=WwRj_xQ|nDSPeQBWOH&Lzes
z%vZECvvqEIxOhsppED__As-Pq9<~Sdj^wHS7K;h)8FyX)xA~z$F01>+VtU5SHFRW`
zum^s5wdpW<wS9`p^4%j3pZiU&YVQ}*smMLe+7*0XEw-odmDB3GChd+B$GN!D)0c~s
zyo;8LiFvcPwQST0L0dPEy45UA$D1Zp>q;Fok37r*=nWJAIhn7~H*S*NZ}qKD{<ot`
zh^gF|iSDwV`0wBnx(>(1l{oMNIl$uMIu3Vy+_DUE!M6MFY`F0XRC@!Vdl>v=ms{Ih
zHl7g3GgHVD8}}Qy)1)Md2;fsHSG~^(1mySr%vK#(d=Jf-FStMFU6V(^tG#Tddd&9v
zc$co#7BF3-Q9N66J^GzfddpC@yWl(eaYU<8+TG{jHH}PJ_r4&}8oQ>0$)5K%6)vfX
zkj!?u%prQBp+@8zyU<2m;Q@tWUw()%kSqGof@;piD>Z5FC5n8aQ2(^CFy0Q~F|bM^
z2LP<2<YvVrfHdqEul_>pH{(;;%dZ6LW33DX-)}dph64B~I4$#W=J7Cos{96o%_C{D
z;Bf_{P!1(ZN~o~PMer%VOuh!~!@q&daflZT`*<NZ7fW+bJ~^aMmvS87M|$&2Zfq3?
zF8meFs)x_(Kl|!?MV3wSP??^Zfb&p{l77cF-!v@%7v*<BzCpT35gEi9ij4UELu3P2
zsN)y?UvZCUTx>dDX1~XYJd_R6cumgp+q~_Sl8s0IOD3k>^zh!|5o5`Y=QKh}2dxI9
z%>Hz`<S-T(EA<Zdlj=y|bKO#_z`-PoSLVmoc#bh(HBC5@=}m#8<6kUO7zS?O^}gm7
zvgzEPxCs9~fqzH@<FLxL$y0~D_0)!8`Ren^;M|JhR#%hOu-ZDtKHRqBuENR1b-E@B
zrF1hP6#GV1Wo=@W^OqvYNSj)MO>SIv?N8;g$Wkzumw)6m_lxlOi$F1v4q)g%y4Fl7
zc+DVcmHr^qB|4}zJx^%V$klicXR3}nip6=5LQ+v|uCn6YdG|8938~_)@I};L3Zab?
zJ%hwHLIJNpvac<=Rqpne$Hs&J%n2BR$joRCckBJ%=Ru(ZPxo+ax;O;<42;c+!>Y`(
zM~F61q<Lnt#(hfV`+R%+1Ute9eyQzHic+p40-)Ahx$8-#?Cd<<AFYb;T}bHN<yGf6
z<9g5QSDrNa0P5K#$&5^6eD>P4B(ZQ6chgYknL?BtB`xcJhD*U-%P}A3V0-n1G*Pk%
zbb4z(WILYjFb4siG;+SOeLB~4siEZA8U~Llq)wV>aQcdtlqJ)fA!_m=bPsm?rY&ly
z$gxc9wmVmDK%`C^n$gt()(d&Y$rGuy?%Q8IVuJ3bgkC?9u1By_oVI1=$c-U=+A*l&
zypO<FbS|M0ZT}7pB6_eZIzR~`?q{F|HGV9?$r7v~m|=U<11MpDnb>f3z(~?2ess-6
zR{+Q13T!HiPp{~^lk2O#as{@TdD_o0&bvqZ;KA?&e)NR=n!m=N5MM)A-L*5Nl~nF9
z{gZARVTw;2MY3BzWVQwcr1TbGv3vi#msn|ecSXSEMd`J&uCcX^%{lI<nm9rf=~7Z>
zm1|^vLU&gG4dSqR&$Im)rqpnDHZCuRn*_%eErHgb8F6Z4Ag$1;q5I&WSV7tXXD$~5
zLWeiIviM3KHB}a2Ij7cqA_Irg>7tHR=CZnj{1WZ6u&SkQgJ84L9pM5wF=rK6(yy|i
z8(DB{;dEYVh5cck@K6M_c!$pd|1#@=1_n=2{uhE*>1K;~z~K_3W+3xz8s>CG*l{!Y
zhc~$2@D@4lX;6}TM@UX^eB7fO_b^`BotkJCwg94`)%OzTY!z)cF=GJ8{CGS3#vm_G
zN-y4WMZzN#N2*cpR;=L|*)&c7|1dL8(JTl>ipz49n)%l5#$xKT{so`|CG%#AbtzA~
z!>cqixm-0ynzIQ<-K}>o&F6-K0!cOpv$7x2&Y2og0xBs*ArvASeZi07kA_5B!#9E(
zE{Bf5ARG1xK0>3J1`+x$xfB}q#qvt92807?4w`yyK}wt@9^=Tb-881FDlnxQi<{;>
zWk)J1t<eR_D?BiCt=;(}_m^V{q0#=6g7r!czz-f631beRWh6QbeAtCm$Z<Jcz9f1P
z1T329W4P6u@&|CXYBd<I_7j^M-A};Z#h?Y@cd9^O*ytk)_l$mTyf30&H(B}uZ$}R>
z_OCBzP{*-SSS}w```rYMc)0>zd;SK`*T_{6K*v#$nM(3v(A?h3cA5T?vxga`XF1j!
z>%i7H>@_sNZNE0OC+@9Pn$K72<|Vgar<Sc2t?E>;hm3j+--`61%XV0&O3BBgt3b;O
zeVJfPnB!p~j}J<&hku3*S3|6nn<`a$@KK<020BK~lf7MKid3=uLll0|;}Ty(_=*<<
zntJr~bJ;@1#|NlFq`K$+n)QNZ^@=%lEuJ5@6>>9bcsQ9;Qo2@qi8s_xblKLwOIBh{
zWx9K8Hm{oAZJyD?eCgSm`1QV#*F59qjeR3`W7aVL-uSu;^N7R#izGa;gQ8Yd;YGU-
z*zoyS53UMwL<;a<VblgIZ~8Go4EDzI{Avo1-)XPRKN1XlNCcvbKB6+G1!9rio?4zP
zgQFJijo4)HHM%ROxpr_KK$gOU;%KEs^foQ$42p)4z#gMO*heni&1C&`!p?c0chUhd
z60Z0b6E<G840YpRW80C;2QQvM2as0owiFNXWVM@cs_$i`Xjl)dxK6IUkB2G#;jkcK
zB&odr*7`Hop&6qY)DV0?<jKzZ?)RHrwYBP=`qrEBboDm%aCox~{!QmQJ6~mV^LdOw
z1-b(Mg}2}0>l4GoPg{eq34!Cyb$H)PFb}5Up0%tc$~w<$^^na$1R#?Kr#=+-!YZ<x
zE*UXw`IQonw~2Gm_IwPrb0K>y5yPBePLXM1)tQd<`PKUDCyMpm0bJzCWXF@9gfZBi
zf<1die;B5^c(VC~x-8{l+>?+57n(@PnemsxxukNAE{~RY=XB%83dc*HdkvBa9NDaH
zuH%a-e;wjETEU*~X5&-Aq)Ngxm3&N)oxewvtD|UH52KXTL2smO@_DTO%@1buf4O(R
zPJzp@=lb-!wy()9!tWB6;pD}Ja3mK)43KDeZNDUZ+x#sR_Y^WyH`8zn2Yy3bMWt$k
zu;FcI_XG&*|Mc7!spZTKvW0exJ-I~t#Sx`l&MuG-RjD+uGlJ>%^j91yuIzP&#-8wb
z5j49{95P^T_UqdO5JnpXD)^yOroD8AcIW2>GTu$tZ*2<yeq>jR(eFN*8=cIto|Ka$
z!x?QcpfX*IP{B3cf1zaY8w^<m=wm)}!88P49F`Ku`>FDG`mm{0mx3FAo55=2N&7m|
zRWzq#cKSpp)<}-=&Q{XzKR8(3%#RW9ujMiX+W}peQO_)+sd}6qS7`gpzKn#pIk`M%
z$$jGIxH5$fmoc>uU`>TM%{_;cvoqaKiUGxbd(l5ye;ZhaJ<nNRwmr>RxB3Vh*+>?)
z+UhAUjMZZPm?*n<9UgAlSsS_XyQ@lBe2Lq|catH31-|4|gFv6}dryw98BZ{fBW-`X
zlg)`NvXm>ITuGq5;w3ms9xlKm-n&AzO9u7~bU%Hywo}th<N(GpohCFEr5uppeFhFT
z1rMJ0xF+FUT|4!szG-XAK|F10$<&`VP{_^@n)HwZcF?!R0BhJJSys|&d|1swp`<p%
z<!`2r7rPWXn>}qJq|Rj2{yR_kHqBt0+m}pMI}-o^x!i+;J!5Qr{u0~c`<P>N1~}2c
zuVEI{Owzl(<ySScPTzSU{fg6Hu(SPMV1_EuM>1t25CHXIOL(LHAT6fx*0Ov51{>e~
zkt?o@#)_H=)?7mk<z{vmmwS_SM%Rz0gwq>aE|b6cL>DC!SVl4^3X-7IsZgudOs_Oq
z8+Ho~pk%ZEF2jHX37&N>xO}!;YyY)i6|C#@KGw$4a(Hy;`$V+h)!O6+zGJu8Z)7_~
z9B~xQeKs!Q`p5EuaA~>n-J~q)ztK8jbx!!D|EB&vUoimalX=W%7H9Y)+3_RH9Ea_E
z>dph>6h(MX9N2jlEJ|uMC~zk6QK3zQ_ij`V*<XO?axx4FMp8VYm)BH2MSRY;LF5lx
z9b)NZVae?X9#WqE<ZE(2jCTTgpI;Gmlon+y(Zy2BR$DO$Cag$i(q+g-5T)QfZLp$5
zd(FZHCEG=-%6wBl(>@P3d4V^wxRnV_3bhFDaK1LQU)H#~tiR`;?|Zo*a8TcMtWP4x
z^Xf(+GoWl`8Qjwy$dAY1ee<cX_t83vOww&-7d#n14xmVH+7iXCjdB;0TQbYV*oEhd
z^u&qeB;Apn9*y|jeb!Y0#-ZjQ5?D_*&z=a4Tu`NI4+tLC(Nhe@o|9Ro>l!>R-Gbs4
zEuG#}B~o{ggUU5i3uDLeh;EegHEJFKX=0uP3M9M@$JIoh&}J=2e|jDeloGFvBjkHv
zBA1H&-fegVKlb)#^U}br8w#7=Vxk+K6dMl@?<A7i*M=R2bSq5`CsW7L`c!L=w{U>S
zr0_;d-W$|ASUTu_eUi1`Rwd4ODvpcAeISeXGqu~luQh18xZrqXp=%9#yM%F|4K(6A
zES`&#UQg^TXR8qRN}e&B2s3{GJ6R1|1X0Kd$>`8$2fhRn;4{Eh3}HIQTUoM<m)ydD
zHA_}7<&I&^U8SBIF!*i%En6sZi1ie<R7XozpRJQsM6736&aFVC6il_7yoEQ9JGxC*
z0*wJ1##;HN<P34|z7!U0vAlN#pD%^;4=k7v+WnnWvWtB=%@mtQyy!g;IA}sHH?A`a
z`W|SE{iT1Sz;2=6j=Fp&H<hUL0|}M2-{{<0Q>gw)p*U37ZImZ`1<O=M#SGgWtSLFd
z7`Lr=yPm#pm7m!b=NE_(&f8}r$GUPM+xRH2V;2ZeEp3I_YcEtsd4b3t=TI4vF@fp#
zRTy<-{Y`IlMftDr0#n!LNSTb$LU5DgS5&#%3rJFx7xaZL)>|L-0Yq_jHqbB$&HYGG
zFwY)`jcK{V_tg$)#PqH#Dx%b2#?gh@g8dSqtZG#Q`JL&DO8HGBz3aq8PGrI=d_W{S
z%hg+D`;%GkVC9H*U_=@ijn*Id{<%sT#u;L^JpDRO&?bs~D~H^8vt%suYHB$Y3Xj23
z$0&vF@I(liSl}+?W~!p(`cBEUx*nuSWY$wc+E|3S<7VPPZb-wM8-5R*(~KBDe7RZl
za^w5-qeAmml1;S(E7wmAk8iM5U5A9;-%-Ahbh_gyQ%|<pJm>Y=C1>T6lYZl(Kj93Z
zs-}26kz)@|_up4PX#B$0$!S~!)UHA{6G6>(LQq?1%;s=S2p}0ciPYR_;Cuqx2wfdZ
zN&SWm4Eix~>)haz^gI~vv9OWGTs`v$bKn^{M5&uo7KDmRBG4iHyDepL-q`DFOXqd;
zL0gctn+S!NQKNG|<<qQ*0*HATekuX9S;36v8JJwwwG|GE_mTGXuID`WZ$v>M?5H6f
zJ)98sVq(2oKqdG;E)-ZBIl+s2uQZt8?oHNPMf0)rYLnf87>SA(cXxMx<Sua_22h#M
z(ArCrNaoOeeiGsMd>V{CIC$%q;V!A4oc@Kbx5n}dIkDXKdE5_uC|wf@=#nwNv2$zY
zuwLh?4z!hM-Uu5G$ca?F*?Rdoxs<R_K!E5qJyYO#E$>T--a|^OFe}IR#n$jSi02fn
z945fiy&{2IAt)Zoc&?*Z*IPjkidOoPclQe8>_-#4|K)$Z*dG|CN@|jFgZLxtxq3I;
zj4j*bS8g489$BLNMH-uDCvF0k4=$gDOAYD&LU6c(j*%reFw8-9OGSOuCW5tKebX62
zV{^^XL6}_#dJA07w@7(7ztP;dT*s5!I2LcRYNJp;Xlq*90Xt5R_|pB`=DXe1-*#^b
z+)R=?)COD+J;udGa^lOt&>3sOJ`sxl#R6Db9$!EESOdDsYHF^C0jux=X&{_PR)+t;
zn1)4#fot=Z$r|khl-8R}s#TQUBtzS+_V?6gy~XwV7s0R^24Np%rGqE<u;U;50b*v=
za=5CEhoS4?RF6$--Z|X<-mhQJaXqPZss#zpTIvOb#7}lrRgzLLA<><EvMs?U7k@=p
z7eQ_R`CZu09>}z(^%E?B0DgLFo1M1Y-q3cS<s#DL+2>^<sXNOQvFGPiq4{jipuAxr
zp}ah<&g1yuBf(46?ZCn^9#$Y3+y|rxwSY}M#pnjQLo-DyJ*Lsxc_;I6+ifK4KejwP
z*{aTtNzpG~f(-Kl(*Pfy8y;2NR(YV3q=4zSFvKN@p=Eunji}22Bz*p=Bqk>2OM3pD
z-E&~89)c`ex)IxQxre7A)QB1{Xu`zoJJGoB1%!2&4KA1h5#O5x-wI7gY{}NPrQ8#A
z7ED1N?wc4h;U#>=1PCl52sBX06#N<P+IvYDJ+sn5Q81&fNlD3Jy=rN})s4!o;ps6M
z@Um;7wGXW}e7XegV*(c?$s9>-<2+@>PyRSOqld5t{Ou!kQlpuTgA?6EiS5oZAlwaZ
zX<a8r@(qJ^mLX3ef$cZ^$t9wys>%?c4O$<n%gq+Q;{}*+=ZcDog4XP;t*q=Im?f=q
z1dwcmB$|(^65@QZGL0O}A1}M-zKpCom)UQRv3RV9Y0Wu|C9$CS;*Fg|8SH#^_3$l1
z$w6PI?FdY}tR{ZWC^G5KHO?%HwS2V>BEf(wvj+mqau0`|TV3<$c?-k6(=cJY6!0Lb
zme|mLTyJ59d_au8%KrtpZ$)98Kj1HCi<DubE*N#GMNniS85kLIa&lZ{LI*3te*BTI
zkQbNQIWrCp^qFyh@ayzvW%~@s$O6F<-Tx?g(&ZE`zBVv5mAQ`Pw^aK2x=#ED+J)-c
z)HtL|rzdJ7t&JL{;ETB_gqvde>bp4G@FW4mdSb332H$-{Q;|mraCnnr3dmK-v$%QM
z#!uHuK->=cVzfG=;JQ6NE1DZmz6-5lGN8|pUz#+~MfX)iDW$?_shXNDD4vM|d0LpD
z{A{z91S59lkIXwdI%Gbx4a*gpvix1`;;B3ck945PFFVT)Lxv1t5BdaZpb(%aj<2Jm
z^HZS!3;<0zy`wTz`6KHWHYzI_+ipha+_EX@`aE*s(padM!%|aQv0rR91(%4Y#&}if
zNz<fi8Oc(xy!ojLImyZV{1!!u`>AQlWdsRPLTW@<d{ZMY0|x4S9R&xYTT%bd0H-=>
zkc#G<S`tDHE3>u<DaYg=<^I*=FKLCufZsv!5GyY4Whw`l3Zta3{axRMqoILJIgO5L
zZzz!?e9(JXRnTM}(c>T-+@&%jkXJQ|YG^E0MOv7+yFaS^8y=6%m<;IWAR*Imb*(2X
z9)csEdsp2r@ly2GMSfWR_Dc7Mot3&Y{zr}MeTJwPco#bYPAUhVR;UA_vY-BA3M303
z7TI@{mrUouMFFTSV^EY;>9XmwG44fvP(;>;b4<c4kU^d%;Z;E?$QJss#K&~T`{WDl
zw+#vs@wxO#`UgRGXlie<7$QfVOZ(m4^cRzLsmf${D2UU)l269!ee)*WQ3J97-Dbz#
zf!@%Oj4=>=MnTs3h#sg~am_soqCcM#mKb1Q;M=K9(b+0x#g*Lry2`SO<&QU;rMEP<
z#$+TaS3-OZQ*262fiT1BiW%Y*AWOtqpcsifJvA*P#*VU-b+i60*;Ei4RvQ!LLg{F8
z3N*lGRFh$VbbterGPr09v0%Uh$KCR59?q7z(5BCUt$Q!2hPt}DRf$)@z-byG%lz`;
zngmG}io^5?xFE=7>=37ZEPL>{L1*p@XWJI1upbC9bc+eHt00b!a_Fg%F@I}YTU#0#
zrTkB^<-~He`$EB;52G~!+<4Hb+oG3q!R^Wti}rWd#?tw5!f|4UKhK2N1|Z5lOAfy=
z5y^kwCTa`H0clNdf|O+zXbZu`>;C-y{d)q043ZQFGxM7P@i*Dp*)@PDLoF=+QWf+A
z{0aW1F{?+d=Wd}hs`IsIefa64{9yGYe*)p}Y^Pgh-2cFWfOS|J1M_7Xjjui(NC3we
zKawRHQ?qU*TQ3q}-S5IeisEk*0bmee;iCDd;&(iGlZ&?VHg{soIQ)CJ&+Guo^dxwo
zu=7VdDlP8Jos$Vi`{;>BT)x(Q3`CXEkAGy0Uy(pw?7?B9sU-&B<YfqdcUTiOaQ62d
z{)6L@u^)<uY)O6nfL?I+|DS`=`<03Q0Ff4#q6-JlI>CzOhZtY+GK7-Ax*4UF{ER#T
zGwX=WV1oQNQG;>|qV>0aAJoOy2Vtl5O_rQ5Z=Wdv4|u@K%S)k}EhJdUGhLC%&Q;H6
zHcj4Ww8Hj+Hn<)OzA8Qn+!}WmHpq}qj?&9q>HUr)>7<+PYY$}Fk~<V&VPU}y-=zjT
zK!XP+OMoO?T0zjQkJJqR|KQgY{S&q=t*xCfhGYSfccT*Q@Fp6m4rpRs=LkMhYy!#E
z*_5JSSR15k)gL&B8**~~w3^Z&uNh=}aWC#7wYSUhk9p|7k^y2XN_yG*jJL`%vzp<#
zzP|q5<<z+Q4KIYR2K!Xw-*UrKoQKsgV_C3doX&wp5QTQzI4Dj+$vhrb4=(~1Nl#P?
z@G2K5U&Vt_2KJqN`EIU>H0fXJK!0CA69Q0EQ(MGvX6)Sb=Vbeg&ZuIQuf4qa38E;*
zkzC!;8Dn`}2d!x+4g^7kS^Nh^c93}=QdA%kGWsS04oaF?ZSZX>LB%FjfEqCH{Qhw~
zJotFN>dw)#jp4Vkvf{=3>;X#YEJ1tic_4>>8jZ^qwo0)$JO-NSZ|Z?yL3|3M(|KEd
zr@j;@vTgspec(xB^%AIBd3pzJ6y)9x#&~c(<0Kr7LjIjG#wrCZ{i6z<)qTZ80()}W
zbJhuS$^y}_cVy?wNfs&QU6>u*10OAJ=PS{<K0zdRY)-J@-{>=xpz=F^oEpwDN0$No
zBV*R@exJpl{AvEbd_XX-Dj`DyXaa%iK88vwNB3X81URRAmJaS_SQqOCp%jkj>CQl>
zG8nw$C}?@0f$WMmj+^AK&MQ7w^=gh??ka)rfoMOjh;ygb=;l9dsYROsipSbOJs>Q8
zSp?cm1+^d96m6}noC@jEA~Q2HSApnhZ38vwcbO2}Ph<c`^BCj@l`fdSnRtjC*)QQm
zyMWjL*T=`l)9lt;T(JT!?N=LY#pLB<;I>eKSy03wmcm1p?qw!&XkA}~IHD|oVapjj
zyo~{_{Pq+_zgmO%VjWC=CXv93st*wS^);NNIVTS8Q7<+{h0GTcxkz%lg}GhDRiVyy
zK~Zx9F`;+*eM9L2l}5_PE^clMG?;!E2)!1H8nF?veG;*F2qd;zbRgO|6SEI6Hm(Yt
z#tZ5E8}P1BY<-VX%S_@1-iHak%Q<2pKZ0(<f9a}A15u$LmlFmp51py{mq`-dB17Ql
z=+#G-B1ei#xwij7nISA<-bOP(DBLqJ2Qx-fa#Etwn=}RPWtKGoNHLH)XbC%)ff3NO
zY{>&Da%3LwmKPm1VG55&ocq|i;HiC^q%f+2ghJvN0EzN{gY#)b&zRoyWRWG3I1%&)
z$oQp(%uOIBpoWHqk3z#A<Tzp1TEL?YVOdqxV7^%R73hI6yz#tAb_xS<+@VNeK*xgQ
zPN;8&0v1%_2Px6w<R(pZz@uC{8HUapCBqjj(50wsnrvY!jFNGOFJ$UgULEurGN&hv
zZ!$->ZII~c>2*>TB&@HmYjlU5Luj88ir)#88HXbgwwxVJ|IVX%AQ+Ah-!K~o{;gj$
zK#4>+vc@Vv<{OYh>x-a3ilBrf=JQjTMnIDW-cn`P?A|XLJmz{HWUT*pI~Y{LpRcvN
zV$ERFD2Os86S}J)2{CN2Cb+H?kWL-H?%(Wd{>L?EKCm-6XAf#%6|qgW>d|%LQ}6Vb
zvUg*O)ESJ(QFsVB`_Pj($_u&?C|Tp*Y6`IU?>*yllGwz9<D)<(00pTf_VJ^`6_<U4
zUL3rb`O|9;UMEZMgRzWxKs)2v-g>dpwpv72O3SOA$-K9L1opWXEkFb1g%ET_1zMM>
z3bh}K?~K6x24fEAZZ+uQB!3DJK&c@l7@%IIzkYH1%nQsh-*N*?+9}S>y5_8G5f)Oi
zvOhCqS0SJgaEQKyN}^03`UvLD8wHsfS&_YHk)T*ibaDled<P+0&|vgMjtn9KHMmPO
zJ(K(|+gf$fAXc1&b7H4pT+LffVv$~^!o&9WBuM}JfPf)VZ*b-BCv3pqMH@>5g&_R@
zjRHBh-p2E#YTgMyS_38zvj7mA`_b_+Pk$u}66ltcXWd38-Gh<G3jdv%Zlb;}x@_H$
zqz>IQ`+Cb+YRD}MxUV2TfbznIkL8-xwXg7#6js#pe|o#}c&PWU|FtV2T5x48N)kn7
z$&!m|WC^8^En#xAhGNE$ZYq@)45Eob(?Y1MW2O}~40mMT3fZ?YOk*t18MnH>`#i7L
z^WXD$d3ky9{eI?qKIfeGSwH7%VivA79g5`fOrG3S`knS8(W9<>YNBAIA_qO}d!ZPH
zMW$C=0GEvXbl&2m5JCWpb-`WXBbo<R`}^Bkun9bmHI%JLFDM<eua`4BR{q<Uz?H@U
zXU;%ha7AY37aanPWdk!BL*eA=Tg&awx%(}=F6P|iN-kfy-%N>19xnZ1<;^>$o!|(-
z^aYXa=YqjUeVmiyy<R&X2_!U+EZjPB0{>}d9WtP$4PyvgkZ=}pa{2B=6=3VnCmP%c
zJ(KmF9UYh<aMOKwzH@t*cQ-aRrXcb>TBMgRXM!Hq)cHd1vVSor0_ikky5~&8L~9A8
zD`6g;>Qy^3BjykBXF;a(^5VJ&+Dzs*>-q4U+r?n#B4T=5;^B!;REW99(oKa0fb=+?
zz5MQXin4%?mJ2J~uW<i7O+ccAd#n(0=rLd^f4MMnt_rOLE$Htkezm^HCxlAPm6XVQ
z^=f^ltuO=}*|(@3f}+3i7q?%Zoej%1S6d;UAjBsmX6ECw*);Pe{cGYyrQa`6v{t3-
z2E9QaM!liL@O_y&7dYCoL(5s8?4aXcEE_8*YN{n|2DygH&r3oSDNDuV`aK=j0}J!)
z8AKi5dc_i#?Hdfjp6b}?9XfJk9msKgKzIA*w=G#@a`A(c@el_vnM|AgHOe2>cOn%k
zs}By!=J5oIMAxt#9_Qs<Y94uiWzA-HX$$nGkeh>%<+-^+043J(_L6g)^ylOR4J37q
zcP7u*wHqB2C9__qu~ye@Db*&R{EORnq5pb#Wq*Ra;q14&0pse|ed~5cFb5lU?b;O!
z+?h?I7bac+`WhRXn+cVmyjUS|`B8k+&4YJTGeYOTPp!$XoEwe=AYEx~F!q9eNmTYI
z=Z%PFh0Mx7=T0OKzK#_VhmHA~!s?2gh{bYd<!XxNx^4@rFxQE!?keP@VzyqFGYA_6
zSMV_*a=dg8YGZQIDmneL)hz`lZLplN;%;Ni_sO8#{sLL$EbfQ4c6D`4eUJ@ce(IhC
zOx*vusY$F0QfeayiZn>KiA18zUa0OKE{D`8u7?s6g%;K8y{26^Iy^ia(Vyfv+jsmW
z&Z)viK1#fY|INJ$J#ARt<AKHX-(W~nz_?xn)0gaAdbMsv0=x-h6kahlj1PIU0~|0J
z;1gx6y_nUk=P_0i)N9@T(yzG-$P3feuu)6VLH~7JPEKw!_aJPP-sZgvOuCJN{#oDJ
z8*&C+T2}T0$4NLR(w|WY(&y+Wd36m4D?y25yXf=~-<IbdJcuLSVw;c5UKrVZ(eUnc
z+3qA$EOy}tG7j@tJHo}`I1ZW4NEAL{Z$Hh?VA|%dy(A_#Cxkc>aEojyqiL%4!uE=f
z@2;%T6nGv4>{}`g=&tP6)kvrx*hVdW)AKrZ={429!KS+%C`lFX3HM14`XCx7uHf4H
zVsBW;B6~obKhU%Krjjg=jvkQn=-IOq0zC{6s(T#R>ps%1%nljjsQGos;!gjL5@+!Z
zy3gOB&!b}O9*5N5-$z4A-l30QG#YqaO-`3Fj9`YRuwk0+w^TRWY^%@GQRUJNy$=)?
z1`i-YARx1=qx1E)Ss#=JYAq0gxv`uxNS9kJ6(<cJp#cJhp}^XR(%#J-{O+&b7A9T<
zTiYex^BCUY#KMiW6!bo#GlWgu?x(Le`2lu6F=orE9sgk0-w5Ua9XP)*=<mxP*#Z#%
z{okKIZ8O0t{ClxX(;x#46P&5qI^N0E+5w?X$#(n9Y<PtAHTDzhohA;W4Bt`9Gm^6%
zRyX`kt$2&pLkUQn;nQmAonq>0SgP5g<m#P_-%$g&$x0dDX9UG8R(kRSxY_`b=Y8Jn
zaTsM98CkC9Reduqg)NhNN=*rxMSurw=zXYn97J9@>je1PTQ6^+Q1kUP;<#&cD`v&5
zdi$M%KF-~GArI1vTKKiv+j~6F>9S;@?3eQk^0@+PO5*0<tQI7d+dfkHUNk9jZO>1u
z@PGEpqYc$)p1Bn|eoap;lk7xzTzDy7->##G?_*5di|kEnVMg^s@Q8IJu<{ghM3q-j
zIU+T6X{EclpWjHkp3ad!mgbmq)O&^;3*|C71X@<BlarHYjc(>Y#KNuKFROadp5Jgh
zlLwI_h^tCgXb#$_1iV^261bvY9lZo4j=JDdmu5+58#fY(UeR;J+tn}a+f}Y}s8)b^
z#S8#zsBjeZj7O_7H+SF#Omvd3D>$vUH}(`;e$C39Z4*8+Ln`HM)mM0#x8)c~6*%+Z
zoWgN8nL!ojwk@WbtwB+_BO?9g$GdD~XC!SsXcc@RIg5Gt(bI1wWx018nM<!3n!8|Y
zmq_Pz(4QWlvA}e_L=h1QjiJH8N7E6cT#3WcsRSlx!4eLoaOU;*?Aj$7RNg6c`H=uc
z0vxB-Mxwo6u62eJUr)RlQw<4#5U73UOMBRvxj7vjoyIi{p2)pw^0gKvHzEfnEz`o`
zZY15xtl1_*e<qP`V@wjGuu|FUvm4`~*5E|!Qx9Fj7<Jn~F87JB_?xsGSe)L_u){?y
zR6_#WFcvm3%f?K9EXC1tZNec?$2p?L_ybjg&&`hR#p${5Wn#88bB=G1sL9(Mtl~!U
zio;+V$ew5IOIb8D$!ovt`#}|hx{0&c%nG;;jd$hUI*~dtqGyk5w#*(sSrAbp#@>pp
z>pP3xHz?9!En++LzlP(-g#@#sFDDD|#wZ|^$48!IxskbVbEA#J!DJ2Z#apz2$Wm|;
z5{}NqkGZ+I68<TlM0=Dr7W`gmHyZ>w6?-_n5uFb)GzU>!EsR79PKJ}amsGr6oj)2S
zm*AxMz84?BZ5QR|%?MhEEC44+694I?6r~UX&jl=mNdZaDOWw45SXGH<d_AgJ0ov1Y
zY?s*JbAq213|0H~mv-Ca&fGq6rq5J~OCPF}>=|mW$I9Qpv@1BX_6dG;FqS^^CnKw4
z!lxi&#iOS_U043zkkJQn|Jo3*KQo27Qp+2-E}8^Na*`1QA^!%C;srt-OkX}n5D}*6
z)V4pXbSpcHzMQ(Wkul(T?Bd9lS2!#d%S{EuO}=`p`OU5i9-_4hHbY9{3^Ex8>V$Jn
zBIe~qy&H}!?^B;K+?1thW@OX>E@LVNvoJTqK`P|bB8i=h)&^tcHd8ZJ=-IRBr_#Lr
zau$=n&i4n3USwoSj_2O_54LBIyA_lXJ2(R`Tnisu_XK$#2rsL&b#-{Nu+2h~Cy7O6
z&7>2_BcMPB_Wz6T>hCDd{M+#(?Y9zG6y;<aOG``f=v{~{R1d5au0l35dA6zPs8g|j
z=O>w~q_ym&=MZ(Z^~JuQ&DYFN_*Gg+&0(M39y)q6KM@O-{4^4%A8qio?Z&I_wl)+T
zdZQ(qRvJ~rd0#rY3NcG$RBnx1RLjoc=Z$HHnfP8_gRv_8ldF=aBM(&*f-4FA_d#tp
zO08_L46Ak=UR?L&?ne?XNH+^V>ia;N<W<Ga$kR-e>c<$5)mxgJGMu)irp}eS7CyPY
zVaox{RwcJ=T55WprZDzT>2o4++|od)#_y$85Tv`+*?y3?yk-4#4vA#QHg^Wi9i2M_
z=WT1LBRun=V{I?R`;XNEzuNXImx&=M>><qX`#muXa$LhRe?0eK?p;hEgi0HE(s>XR
zu`j8saIiaVmtUCAqq|o?0@W7{RX5pAv5MYtc~fY2-?i}f%G<2`1Dy`D3$aBo9$@#?
zddsl%?x8u;^M|Kc+VP;0gQ?-Zb&cIznf1y7^5QT_Mn1u1m5NLmXw$e^z0zL;(rx8K
zA0-+_5DL})Zd#fPc9W~M*7W;Z3C{A|<4sdlSC=*JSIQyDPtKrE{glGSes7-Wridj#
zXw|xVhLKzyr4LMpvN4s85Om~oUl&;EfE|sGY-wvNlcOXd`cPYF(%HTHhWW88cH9D;
ze{tl-=vXS|Amjdh$vHfi%#2FG3nXS7=QxVw<tSTfdznk79V`D>r^EOHU;1ZD?B}XO
zy4ZyDak9JS!j~xTzy5<w!|_JzAK*uC(uTSV=nR8S+`ej|9h2)1`1tsoU>12uk8ugT
zRbniJcX%|fh`1$S7X2BoJvq&e%~caD8^K9F??pyg=*SJPXYLO$*`p`nMh#`MO?D&A
zijHwrTQ?a&QsADyR8&qA?V;zOE5}%z02JNAyyI<CQ<HHdsp~Kz2Bvz3jcFU09y*ZI
zvRU-4bP*(ytZHVqX5)so#QD?@`6;$o8kZ1MK3j&pymj4lhHG=maPNn6f+yV8<}!g<
zYh&rG>Y+twzY`z#u^{m~)M-yN{!p@Ni%c$-q%X=DXprd(QWr7MSQYali!pZ4@kVNS
z7Qu?X;n?ZY;8S4u@VqJfJv2}h8&w5O0FWRou<~)rc|(aaF6CikZVaMd9MJlps`rY3
z&*m)6oznw+F_euO8XAU>J<?w-T){mt3caN6-^?NXcBkfy!y7~X=++{iJ^Zn+Sx7oM
z?OUsBesgC-!xyD2HDr58dFKSzn4kP_BxiTi?6@dVZMNed^ekm*UbW{+^wrlxk$q>E
z1R{w{PO25)$`sW=&u4gIS=tXj0x>Yk#Z_5<nt*GR6aZNiokotW|Lm^iD?>Gud8@Te
zJAZZ;-Ytr)h9ZKOz>FX{Iwz?u(_2<n7A5MwT%|a$#@1L4H2<T~&X7>1w#3-+@~|_g
z3Ibr!cEmV-{(LxN3RMypMP8aVdm(0$3juB;yz1G_4~^cj2jB!?MQYXC6hU`gi8JUw
z{@A;x(qDzCxdsqMA1lfqN$lgaN^zff=izJrU2wx*9$sbLy)l=g*<z{EO><#N+RD%>
z?)>m1Hm>0s)V`3p@X;6Z)-1QxjD4#r1We7UzAiqkv-LM&7TG;6dT82Dfn+1;lE+@b
zp8McYIc(}Zxf0;Au^Cc#C(O+D@RUSAZ96XHnNKd4r|7iI6659^^(rbZ0kb!kNJL-G
zV9dPMwx({d`fW1cDD5lw<TrS}uS0yFIjUw9cX05xek!5E@WQA%R|$u<9OWV(kq`sc
zu9PJ%#%1Cb!Q6>kAbq3Rb`w5%5i7PV`E(5}8#|Ecm@KYWq_<!Y<`f0=3bPdjyLhM0
z?Tza-f`{>u{!m{MESH_EzJ^=H$RiS4`6(m8r8!SsNprqsg+NbYv(K-r5lF5^Y2(2U
z%ck!8E1rj<-^Rnr#m$Tf5L-GJ^sCQkkFz*7LR!4YizakYmt;dubrmFvHD7gR13lM&
z(erg-)RIfj(UwfWi2O#H$uGP1<hp0zoV;Eq?zQXIsi<!c@X?H@Z=XDVK<C2;$GFgG
zy>ufZxf`_7)aY_du?aUNC3c?=NjdLQ77SMI5EN78Kx@1euHa4W?deEDRgny3wX(iu
zyL)!aViIF+m9&<-ZuF0m2aI8e___pDk>adVv9EhF2U$^Ma;r7i^Zmu`SQtaTm};5f
z^^q-a@v$oLe*2iU>~ndOZSEuw>DbZR0C0iezFNES!2^#)&AtQ+C8|CO_zy<S=l(KS
zhB#@qezw^06DyO#jHf?anw&SD?$`RER(~CS`aji5_mG)5f@r&?y!u({IC~0poi-rb
z()pVwuM>g@h#oZC=g_&ZRyz_rkz8=uT#hD!ji||^f#Ws{=~BBsw<8SWi+7Ze<)X-y
zC<S5uv@^;1URdZ9+mWhQR_kk57Mz2=am|2cbhlr9NP9fE)RRx*S!mnm`iC*KD`fja
z=JvRV(eBfmO`hYgmJ-Cc?)ib&s$4dxU<LoEw>s5H-U;OXhfclkpz(rt{(*)`{b933
zE&t%|$N+Pq1<lSFCoA?{lRg(8eR=#crb5sJr8vf(9*9I-B-A2p6t1p+0NSAy?UT|9
zATMP&Kl!#s69aDi#v&M%b88-3un;mlmy#oM;=MUk+}b{CFB`!mJF+0+eecxgu!}bP
z7s)D;xSFHDLUPTW&CoHWV;AmJ7VI=)V{TOWS6f@!hUv$DaPT6((BdLz=pom)z|<UB
z)-aCaQ~#|4i%GHEKmH?;U!uUOMSsM8<DC8>k;gpZ{>?c@uB!#%SL+J*b<sgkA&Fp2
zLB{2TC`F)W05nL5b8IiXyfY0_+DWPHqHn)@ZHj%gP9Fa$iIKJS6|O%DyX;@B;^(zN
zeEDpfTVV24U+=9Fr()h{yWuuFK+Hv$c<qODU!P|yNW4#>WaC}+g(+l<#rfn;Q1xrc
zZ?y-RyH<~8cTD8cxe$mtSh|!G|Jka)gB<*CPL+1kJZB{9mk8|O3BvNVPoMt|8$h7b
zAh=&P+esHZBUh57F9jvFkGWPYms+SI+e><CtnTh6g8e#9t>C3#UGrJ{u^M;~&T6Uw
zlD^NZZ7eJtcy{)^{aW)xPmW_=a}{V*%YM}?8R~ravzan*^w~D)x>JL2@R<7H!-pMC
zBgQ<Bl(JeSvh5|=sPp1b7;&7#R1&EbffHRMS*%favy-!PIG+jlE2-P@PXs6?NHNH`
zkqdg^)1N=FC2?e7n-mvYvL8}$bn}s%;Bhy-!E8I$4yp9Y{Q&3B@xdfQ*pSNoCFAK+
zUB*>2c4{2ozj;VFoZBB>wshg9$j~b-;q&z!9Zz5Rcj}KU1q|Fcl72Z$3t8IJ{_r_-
zo!O+o=sVQ$+c&prDy}z5STNf6RCSYZJDV5Ik%aAT_m{nxdQAHHajBs3KfL=nWuK^q
z>DsKFK7yCjvM~o3`Umg!?X0P)^`2I#`H~p|<DF<IweH2)dApD2={kf7{ifo|xDuoI
z_g~Ss@Agh^Ba^KILguFy&+20fUGs6PZgt<>m3Q<>(LxmY0K=%}$$SK*!kR%GDT^Nq
zi;N72Uda|EUHa6|FmDc>xLt9OvG<@OiXEZ5A?!@M>u6Z{#K~s?yYG@R4ynT8btFgB
z`Bt6U&$jI5%R4@Bq?i1!jp*f6I;elZ&M~upV~d_}>+aH-owM%5&%JxpfIr<BILyBG
zNxHen+YKdOb<eopfWFj)KmGpuok}dxA}V1aW2kYO2Zkm8|9;)SO6aR~E9T*EY~X(I
NL33-fJX7}z{{;?k!^Hpq

literal 263456
zcmeFYWmJ?=_cneH-8j;XAkrX$QWD}23eq8s(h>vGjUY1AARr~(Fr=h3h|(e5Fm!kK
zd;2`^@4x<E-f!>6_pCJxYu4Oz-)Em|UwfZx?-Qb`EKf{8O8@`>@hb(GIsjn10|4eb
zJRI;7LyTb~@D1m^qC5<I2gk+BdOz?D-$6mw2>=*^|GglQD+lHPzzn>Cz0h<|-k$aH
zHqfdS-k+~HRpM)u;jf&;&(Y+F|7iE=*^2hEy4NcLD^+Qz6|JluRw+kjRF?a(`)}57
z)hy{OjCSPTvvUGc$2Xyx%3+mnH92y4yB_AeBILCjHnWi0V-k!}vN%;*{r+lb{_N<L
zxS-cg)wtOs@b9VK00!d!jsL3_Kz@kc!??#l+}+*XE`l7UJvkikmYgs4;JgQgGK{|E
zhe8LXe|d%=I0RF@sr-?i@25|>fFoJ67fwz`tKL)`RNudUKgHkxfaz*Ke6$#JVct0U
z_3PKGp`9uadOAET<;g~`v!n|?GAOZbQ9Os7uCDHnC6Qr>0Tx;YnwX1v<`4LfYq|uQ
z>o(hd_}~fkU#%*G36T?D)P<a=Z@yMk><~jbN&1Ju%pUn$14!&LrWS3e?)c>7#d4~I
zSEhJ>h!x(G3qF8h7My`Cpa^_JZTejBsYp2<8v3_p78MnZRPWrevou2-=mCC_BY(t4
z#L4|yNBTUPmNa07pJj`uM{Hp2i1_HjJBzmmbw4VGzT+ayZaV3oMV9LuU_zDjK`vxl
zIg&~VkKcu&szW+Gp|x^a&6?`!9|H!~=*A`|J)%*P`KU9G#yQIAYN`0W!~1HxKLX<q
zQ3VBExM(WiG_13Et^T>tW2K~L#Vyr4rDDk8Y!rt7JTc2ARZ)CC>CyM3B%Ph9DjTK%
zRu@co<H;DEWEvdmZwW~*MBNFSwiCg9!(PE&;%_~AozBp5!OP1_Cu}!0f-OBgHAPZc
zS^3;9+{2Hf&+pr}Z@qn{G$Hv+4&9h5NtfPDTSta?v~N#$rfaZTr~rf6p`jsFJ-s^V
zSV5zZeB&~sO!w*w@20gyTMg4*D*BGZLX?J{zJ4jBtWJth9`=%U>rv=hp=8?L*Xb|0
zxw*|#)jmLr0^r8%&KiyQ!huAyWqw)@Dk&)mkxVOP3^!MR!7%+%w@(I7S>=(okqSLg
z>M+<hC*+dtI%}6cz|6wF+$041rb6GU2*X4UtX=6h^+>~D<f}&)m*ItU1e~ycU$1xD
zn?p8@KN0|xA%ND(x?$!6BtyeDlAh|FHhVhQ^6u*D>RwRVbaf+rD>j7XW@7DVbfVhl
zUaM@yFV`#Yrlr|K&_oP{s2Yr)IIW{EB!D^9(KX0(%kT?RCnqN_5g!nT1xq4uxmdeb
zAd*#n4dlH^(k_F~H=W&&mAc${lPq!|)Kk6+f-eY>9ERq~*#V5yN9%t5`c=mu?&|z|
z(odnnuAZ_bKFe5VbWLARkB>0NgQ!J5EBbnF?Z`2k3~HV^zs1H}^$*9s$Ck62s;Um^
zzlT3(`Gi<?_PlN+pOQ?NQYwnS{F`>7{_0iN3BUtf@%CI=c(OgpYz<%~=CET=c940c
zqZ3aGXr8<T=hKXgudb{-#@CVn0h@x%=RB*n<Hy{`1d2i1KlGfBj*eD@EuR5n*chKw
z_U0PBr~u1fpYfN#U*!q-p*J`=DT*pC-jP1Ot+u;@7EMrsmg-piwnwa$f`L8)*SOx^
z+IG5$wq+PNE!=bo3JUU@_+i=+<+#)y!NI|i5A2%)!LrNOpz+5SZ}@DdZ{YwFG>RPr
zFZ|;xmTEhukQ%>o&67)5+N%-}i8CB5QiQSZj1(1n;4C%qv9S@3^lQA(3tQ0Q-DZb8
zyu60_s0iR59@ZRHo#`9ch@#)9qO`?7XS<CLtLs{!p1&961vG3NUF2fyTN-_2q3tc#
z;)eug^^HWH+<)A;l}kUS7-u*AEI^oemm(?;7=gKNlMVj;P2KRVIz`;AnwdP`5Y|M=
zKbs(6Dp#;6FS~5?vqQsWaYx+aaG3>q!3zwJj=Hq%&eqRk-2>7=*!fPc9r>tf`Ax~I
zEv+);qI`1k1=|fqhlUPq*ZV7~tEw3GFTADP=+|BYS(+z7*2B3J50i}P=al@y1w1aU
z?5(XYMEzYroHu`e?r|spP5R@QY>e6r>+9<)JXDipp{={jGQucV7ye<iX<1v6^pD{}
zJ7)p3h%)v>ts<=RLn9VZ<}(ecQN<SKlB9A&{@B>q6!U3U<`K1K!WMQ|HmbI^HZ-Lk
zCXf5YDqYD3v&8_gjEjp?cBv=RH!$!HM7dH>Q3>aM_pr2F+W-gvlYvx;lEOgL=1Z3Q
zd;Rv+Pr-3BYWLE{W{c@%;Wy-L4Sb#+IMANj4Fl=omf8>=8yDv*ttCZ*egd$t42U3)
zD(Cm^c0jtF3#-Ypn;zD3@m5p})8}E|SzrH|k)NNB-_qIN-){{0dEX!82SWcao*pi2
zDizkunNDkPIzK@lxPMs`?>{s4hEdBf7~NS@sIRYIlN*H#B{nRImnnY>E^4!V_lL%j
zk&#O5R?p6fY6&^5QpkR`-Lw~dN9~WQsuNPqCO8YNnMgqVlf|P8Bj7I%fbz^!yq|?K
z#@%nJwwqQ@l`#$9V1$@Xp9aqkRaRHurVXr-)fC80E+1WtJq-PWFj=8%GD%A9DL3n`
z-f>b?R5aEYtpZR$IObz*EvZK=Dj<VnvazvA{jj_Gb+FVC3HZ|pTDaRyOO96W$OE=d
z+QUQR??A^o3+v4MJKUrA`ZdaKIu#48X4;FJ1O~#@ONsk~gPh|aI2|@0jVX4GD@ylo
zJ_3IZ9}tAhY#v=~4tEA3zC0dNY$W>biBDZ=_o!p-sHzHN@cUq}#8mwdK4~(2DnHa2
zhQNWk?yKk0163IvHE+P!<G$Pul6NA2#4LNB(hJ`1mLy&D_;{__P6|GK8f$KD{>M5_
zm^Fr7g^!Dqvv#n0=V`UwUZvd?!frZcfe8=<q_u+2qO>IO1H$O>{9i|Q2)3^sC4#Jh
z0px{rt^t)nyZd)tTPKWVcKRTri9xP0rK?cBPK&=oZ0<8;*VbN~u^hex@NVuJ5Z6To
z1sjPoO%g0(-7A$w7&zLqzdboGJn=g{XU#xnpb2nf;RZ8_CF|uEu$N3*IjuVUkeBIw
zm0oANJ1ANsgB?qaTqT+m>r|MK0~jlxXlrU7SL~Zcb{u7N+Mzs2{i(pKON1)i=sQHI
zGA6VD3rzQZ$K;pb@-*{va$Z;+%c_@r1ASu>9FzoK?w<S8fHVk30*cRmfbDi<x!G&2
z<^_;CKvcII*1PUtrYAkK+dRDRzO%Krzg0;a5PqRGKx%l;mT>1(Me8QlTsH?KS>wq{
zYYiRa4o*J4CQNCKb!!@+MvV{#(~VsM*NgcdIgNn4ZsQUIG8_-CLm<LnZf2(8S;TY1
zI!CLg^*-phf2{;Xkw;;FUvBL$v{6iU$0KkU+tE4UcJoa)hG3#Zg2vHmByCZFtp5%n
z>%e>qpixSPa67wMOf)9hBc+7*;TH&mH-U5kq8IYGqr6Dk+InLxDJiKrQfR3z6rmQ;
zTxd7lM&IE9m4^DmK^DJrP|QOi71}e>KQ^)yfk9$sx?@)v<Xt%|{+6a_dm7L^T(h&Y
zmpfPvV^tHI0Cd>KsyyslxB&>z-7OHQ0_E!bkja81aOt@GRWN>*gR6aKuFl9pd-+AC
z5$j<|(q*j?#uwGuZ#~a6-o1NQG0zl^eixnyL0g8LF=w`hvbu9}hYQS;NF;-a(G!W|
zsrSH@kEF3St>nL8J~uS<v3X#PTVu2fXd+1`^Up!eSJ+*xHigo_15qSfrt{qQ8s2_F
z-9Eff&$Ihmf=5?SRJ6VPH>jI1Bfjae<Kpk5Bi%<VVq(YgjaX&|AbWNPDsAP0*rmnF
z(;qmw@NRaR^fk4jEsu>jyg&H&vBD-B^G#hr^A?*4V&qM&tzhHXoY$v)Q!U<JIS_J>
z9kKY$Wi>R0xpQ)IrnOuM{OchGr05=?37`3^!<rD7Qf*_Y{)-ZOZmzDoSdR%>41t-&
zc^8cR(9TYgNg9BRj6nsaOfX;UN}nh3qRv)m_0mRmBKf<3=@;S3_uG*mdf9EKeIYGM
zroEoi)$AAElH(M<A&Bw}@R^u%{-p(}W_rSt)rJt0SX94_wRK3%W&Mk?C4WTzG*BAv
zPqdZmTN3a8KwUUTpMSFY=DEL)kK}wb?82*Y&T*lGrChWyh&>a+w&zx8)v4Oy*hB!Z
z9A<zP;RmQUMEXq=&GfXjpLJC4^n)Ds^Vv7o?TG^te|Z@d!{z~0-P7YcYx`+-FsBs_
z$#m}ceLw2JaR?6>H>Hoz)6;7rY!SDeD9ZtorI}Un(+OMN0+Fj#4lrk-&R3xQjsDp`
zO=&Y1<fD%OaeD&xzwD&T$2!CcK~r{e|7+~O>Cp}q$7_yaq662nR63}K8QjJl>BkIV
zFR8`dIc<1)JPBI0-alZO$NGCO6g!p^4#p!{{OUAJ0CkC&mNQinDZ6ID;^*@G!Lz04
zLy=xqwqLXE0au(I`W6>wgp*#%StXA>UCoc-5WFPfR0HB03vk_=yQxMQF}*&7PFGW{
zlz#sA!0*5ZR{i(DkxHA7rmI!7M(?nJ4#zQA2_Dl8D~r@lni~uj*e6{a@8A2+6AF4{
zk~StlJ8rtuf%b7oMtHLyA7}hU*t5`PPP8iO4v&mDQ@6ZaSZhzXs)(&Yl~mc)zrQ{|
zV3pzT`ixJ81aWNx@Zpw~<m8xpB>U(<tgs!D?WX4mN}0vq{rbF6ZRe+@b%#jRQZf7w
zAwUbT0O$o6>5Lf!EqXbaMT&DPE1fe?CGzW;t5(nKXMRQjV~}$h&_IPz(=vqABSEPp
zB)mK?VBg4U!Kixt@2PM2+v>Vx93UzCm5WX9#qL9EY4cCit>(l3g`t8j?W9*QZ4g8|
z<>lq-pD*3O%}pp6|ES)^ou~lVs7wEWwR%C}z0U}o&=*V<UvT2^K^_7vPYm#aq)Lvj
zZB=D=#r&S`rD4Y1z%fXn7|b9M=Y@7s;Nk2_;kG#9Ju9!qJZFM>WP-#|8iIW4dwmYY
z#>RF7vo0Vx0R5+@0=eW}T2<u&QdcRa2xmDF_`}R%X&{82Xf={av-zJv+(}#LP?zE6
zy4)C_S~OTbzJN)>&%K+5|7UaRDY1G(YbqDacaBpGUZ<NuC`H&BMu;oTd=HPl9*iu3
z)pjZ}`<ag$B#IQZxMhCi)df-J<A=?3yx>qyL`lwraMiV+gF=b1Mf2nRc}CuV`M3PD
z&D?)!-1c-0|4QtXk7OFIXlUUpSfCCU7{<^4<>>c&w39$SDiXPemyC;k4^V}6TI2by
z$^xgr1X23n)`?`5(^`L=uU8<rd-=aNM&=*RV>7d`bPMQ~nY3!PCrkqdILzs&0a{bW
z4^~$0l61HU!tgow(sBJ_ln$l{W{Vf<@(w7{1A`qCVD$|7^1shQ-nU#2fdAI2YiKML
z=jXq*3Aer%wSr4RPpz-1DWnFY)jUxF(@d$N;^Mx1zM}m6pL0tGm8eZN-{!l(h=>T*
z(9qCFVV!&6=7NHPLS=kp#J%Dq^?&OSEV|(K8wyn`nW(<O^0$#Sd-w8Xo0GWfwu6z+
z$!LpBY2)dchO($RslOMP^kLpzjyK;XDBptjqr!NLYtr!v6W8Ky*R9zL7XUBNy8CxQ
z&0hh@qdBj=H@=|uliEK;$I9}bL9l>l#KJ-wy*iL4MbSbG=+V;Brbf&efw==KR@>7V
zVYl5G0c(00&6BRbOQj%#wKAo&?43!`dY=ElCZtq)wM6~Dmj@rrIS`014|~dYi6p$~
z`2-xcHaEo}Bbd@JUbJ>-^!d#-c;o=e0LT=#i*Xh=mnZVTH4P9h@U(z2@V_(9=if%N
zv1Dc_05jB{*K1fC&j5eKOagO6VL(8@tA!4uQa5-&_8rm9-JoXVi~rttgvxdQK6LP_
zhL+Y-f))<oUX<a%P)O$%kd6{Wp-}3fihCl;>Mr>RdVC3<6hTWQd#ov_#QYm4K@1Hr
zn9wr4n6s7b`H%TMKVc&==p@yFGmNXFjHi(E8iXf39e)Z+nM8_F()+wq6Z!w$75VU^
zFk{PXM#mYZ)qtrk0>L56GBg{dr>QwY175*MB1M9Q(FXk9Aws(Li>_@?Ray`G0$Kl5
z7vZeok+HGwZ<3xhN?p%5CVxKJ4W|+G#WTs6u9jwg{LkNOyiT_-ApTMh^_5vzGU*dZ
z(I0_n2+x2Mcq0Vz1AXh(?pq)Y|0cZq-zOZh$R&kyM|pYqUJM)iYv1PM6qLN3T`?<5
z4JaMVtx+y6<is24;iWTQ&rmPzu}-@|wq36_wzrR6ot+H`O+2|)9)eC0MF_R!_Ys-L
ze!#*aHU-9W(5*#T%B2>q-vv1TLABl*oAzdCMh^e|yKg2d`v)6{b8&XQt}8D;BqJs!
zuDAK{p`p0A_(-!#8J4O&Y6GCrt%11rS86~m7+{~c=JFp_=Vkq`>51(`x6p>54_db;
zcmgrv;^OR*SKAdK+SGf)4IW4B`f)A=2m^c*N|3|uK`(+)w>T|Xpx+1#n}#6P*OyK_
z&u}n4?JxZl6u9=i6KGFxsQa8!>S$$Zy2L<8$#WheusV#oJOjPV5e%eo4A4PEyBw24
zfD*|5=@(+UOIlDZ`Oo+kUF5dkpD5TN_;I<DAM@O^`mhLvqMaQaJaAp#sA)9X!|fN_
zDw+lMhZOnWK%+V|Pf|hlgbN7?%_J2sfzU%&TJ(K)<L2Tb0jLX5F+js&Tz`2{j1~pU
z;YUM5L+06~V*MI>GXJERYF>k%`_G}D5Z64j*CGGK{9@M!+`V5xgesI#F2Hk^k9jCx
zsicdrPFB#QZkR0^DiRdF9{O+I^sRuloz^<x2KnO7%GUPU<5?s)g+OFzC%>jk2&x~e
ztp91$CfmP#Z~rDSG!YZ{B<=4)_FsFO8){SOl0`L#c9MZ4l|YM!MO%?53}9h=!ksa?
zTOjqD0Mkc22_HP^*MuwgpgA874liR+I%860=kkRe%k@0V%CKL;G*Tq-o*B8h?S$wl
z)v1nQQ8{z-l>pGljrJGv^rk-$wgeG}Y?~QequiT&`VHj=hu%~{AUqA3t~M&#;)|@#
z=N2h!20Gn9%p$dQchFDUlV?FR!6%UdZ*_Fe>`hIxiu7xCnee0Sh;RICwY0Qm+{0k7
zNoJfo%s(kZTIY@4@j)}A<KxW)Xigx8i<^551_#sp8)|^CrCIpdv+CLv0l(Yp5YR||
zrA0+EA|QPw^m}Vj03F)e+Nn#`eqhXB1IQ7bPiYz`Xfr8GKm4R_Y0T{3J2a#OJ<XY-
zaojOdX74_hyI>N6L#3QHGoz{Lw%B$xo&b9AMMuW(Y}Tz7K@44)%Km#7bEJ#+x_9qv
z9(~|GR<Jn*;=*G%PvveHL|AWU6f0H!W)_gj!Nqm?y5R=Yj5z$QQ3R#qUJU-Rj?vG0
z)1;ag6D?CGiGZWEfix4{v3SiBF{r3S+6gPMnb`LjBm!YorV&L3VEYGv^G2*&#g0N7
zF0xT88Nq%&yR~a1t5uId0%I;RZocgVDWpVwG%|ma3e+*3O_n>Oyr2g6?36*5=pf@Q
zSv|Y*gP73y7qc7|uJ3?pk$XF}QwB=XPIru-i;GJPd`(F(4zvNO;9f9s<nP}yUQ75_
z5ThIeu#u#_Cx8F8sk*}ox;F9Vp5F&*J~R69rC~qFY<<_0WS1v~Bh2(9xLNY*e2FwK
zEyn8fwQQ}bzWx?qMRb#G22%YSKzWySk4i=g#wqYYvsD8Rq!!oBm2mRz+&|o#&CG`9
zr_mHPB|gj5g=zh69tfPk2ZOEkCanR5Kr)tz3pj_g=vnyX@kaA~DEH+F$dZdKpD^8*
zB81Czl~`z{M}AdgCI}e>d$iE~H$+>j#XcA;mBtJP=5c_aS~@`7JtX?^y2|fy1E)Sm
zFbZ=5rQ{S8K0L8LvSv^NU)(tJg#=S%mo_xSig`$t$Z#}Fuouxrf#Bdpq6h|<K{KBd
zhu$Mbaj_)(2rD>aaQLt9dsBV3Dx)4@XmDEX<vhH)X~z9)p*zOr;^LB0usuIGxZqjt
zeseOevb(u?>7`BZ3Wgc;o)l{d@@=)A<3HpRIN`sCzFCtx3!f=3ys7FFpJEjEI{fK%
zXvnx3)_}WCosaBvdxgLWdokTA4xej~iR`F=NJp9LT9)cotfpulP1L#AG>|NmgcHca
zFw@dmk2%^1)sYy?na7AuViTf&q5T@i8y9Z*;{r%0dvN{)aNQ?yzhv|m@GlFD=XmvK
z9$P^kbh97hTRw~}R!~v)lzu}Nu}y55JJKmSLzs~J=-3#oG`!PI6a*t)l9N-^)2q`C
ziHi6psT$lNh@ZqxKF+1GtgdizHFL@=mOKCPS1_o)qIG6y0DZ6xNiTXBfbxu_7yW1i
zCNZD9<3kWQOxV{M!2*Q5xd~*fR`=Dq=MvP7lJ}n6gAV?+5R;!Fh)vQukgAo4COU^U
zwEHtO-1L6;xsoqZvy(5<tuc<@Y$Bj1lHlq6_yh5!=*4KOJ{b8iTEbA9AdbJE%s34&
zgez;Psr`Vr24FiKsXovA#%rYJw-rr6Jm2Fcij?~WZGe4~Pj$m+J2b>$VcFbadUMrb
zKRM|dw8`A?sg!G!bo{Q))BMJb#fWZJMV>Tr=$Kt8RvsdcYdeV(PAKI=usUK<YL|WJ
z1NbX+?-*){=yKx@s=aS<-tSM7@_P@4#(8dTZsC4VFI74|1xX=_fq{We>%_2m-cQZY
zaCSjN*Mql*)|=u9LoAlNW`^5rxp&{e1)n0y{<>8#>w~t$O_O&#E9OGjb1=72YZjE7
z1f!Kui!)B0ktVu^f6q24ZLd5VwHoY_#r%^pbl~jlN6wn3XG@8>DUXw8B>JWi#XcB8
zXmh#~#>2j^Qkb<vrTg6W{Oao=9$bLFR`DAOGW_G6?wCA8NkhxMac&DJB7zs@=TqmR
z_%Rb$Sdbk{qN-|YQ2s)Ql*DI_?^-7BZz<tEWpnM1>D_G)GP8eu9Vyb2(7Tb<V5)6A
zyel{U_4bd^T@uo?edf}{XT!9I^5SwSVKSS=R}CBIug6yek}+<a(^ceI5Q4)z*L#v3
z_Ltm!q19z_z%UQ+hdMF((=U@Yl>3~07R*zcNZIiguX~;vK#m#N*id1Ys1`11bNCZ(
z_R$u1p8%lgWN0A4khiI-cg*r^te-lAt6fvHB#U&F-~f1%35~3UO!t^mNQ_oqkHHGM
zLAnCd)Lt-0Uk9`Bb)ohKM&HKtbo9>t7ML%u)$MHk|9BCU$@B<JUc(X_@qMk*zpJ$k
zzJ7H%ayZHwj@y?@24}C26bs_dAEb)sF%}e$HxCn8qy`={T7I~r=dXu7RTOX!K@9y8
zi$ZW{34V|xbY{~WUp;(Gu$&FIK0=;;=qT4So||-at3G11$nkx{-9oCl4^L#&7ZNd%
zc_2y}xZjODodg%x%ic-DOPA{kdqniZOCj>O?G(Ipya2_kqn{YBys%2Yczy}t@X%$b
zt+t=7vm7MzV`tkMFNI?`luuVz*^D=l+<qd}Lvf`N#?RvYA>%OCV>my08QHFAW5Ih9
z0OaA^9{w%9(QW_q$b=$ZngQSlO|m*=kE|G}cnxb_@_ToYMj^rgX!c?QM(b(O7)a9q
zza*5pmX76SNxi*;lArpyhxUWa=kIa(p=zk`JU`0(ks0TGnPWkKxkU$Z?e(m}HC)dl
zOpj}!-@MO5yanoG1Td%1<L+meoe9ce1`1Sud`8W#y8e)Q`mBpWMdfy$$~f(Kz;Czv
zG^357VdGewA%%%j4F^Yw$cXlP^|sYjcbwslS4TLlhZG?Fa3LrhuZg&o_ow^hxi2Rg
z(2{gH963@EW0YIG3(?!GWoj8k4HXLN5Q#Y%HYv0t0O^zNFDF^kgrwTVMk!-&QhnJC
ztUe(QJJj<0#5fVrV3e|<lxkT0@?EQ$uM12}?jMQ-`mAc5FG^OBEEC$NedvyFTIMt!
zlVGXnf#*oLa}$Pj2T8@>(yeER&Frk`GZ~5Jc*@?SQI!@oKRi6~_r&R7{zktqzM6+$
z)7GHt+se7eB*j;6b0{joS~r|voigS2u}9yF&&OQeORCR|jWz*PKtx3j5_<oq7l7jX
zp;Pa#uzn)#7St@2U{zJs>R4>VN{{cpk}Yte?4;=<oWeI;h#`LF!)9aoCgrnr3^J@a
zW|4Zlfj-Yz+?}--Th)DAau5CXv9gm?5YM!c`&RK{yjzuVm1EWudg4K5cI4w*VPfh&
zvfTNHEGlBiHU0}eLNyuf1=S67pH)$@c^4O?Uu*r#zD<yv;KeLa6Um$i41*Msz!oY6
zYqIYhq|1azdprq|iy)ZuI_<w5x#;|brw1jDME70H7mJm*LVYC1J08$>B2mgh-AqeE
z#?#I-qBS%wMk3n>cMmPHhFvt@bnUm-GSlgPGdWOI8yCNmQ))J9$X6&G=oT15zipO&
zoX&R`_k6~|`lQXqUgeubg2pu>Uvi6K-c`jfHVoluJBz~BcdeGFH(yI-OI%%%_8^wS
z{364TCz1SZJmB6RwF;D@!Aa=l8dpiO<Hon4gR-KTR2kx#(u#^`7gYfGp#4<2ZX+YF
zJvU0Fx9^sZ-F0x)Y?L^I#E5nG!EX4fr1$T1Dq5kfe2+n{W}g@B7os#gbyTD64>Oy7
zI0|&y`Izoy^NLTWp4$wk7Su>KxDw!4nLOw*ec#Q76WfY=xsbpRN`SL`)fp?D&V54o
z#HIAuBE`UUw?}-MabTQ7B~t1!2j%lvhy#T7m8`Jza)wHgt#gDd34j6aeZO5`Q$cfj
zr84bGFmyPVgJ~=+K$Ku26s{BQV3^X(Xm9+M*ouMghr`A<Ydb&vCUKoSpFb51ZJl;<
zQYq9f<#V97wESdVWzJ^#%J18<yL392qIOZD{y&>+iYn|+Oht~5J4&)f49jJXAQF0>
z3_QFcF;Z(sv%RLEqY6x(|LBWqkxyy6m7>9KP-`r|4ZGlrq3c;W-p>Es4D7qnYt6rT
zid{lw)@7s%`qgaXod>&0-An%@iKR26nAl$@ts<ZDp$(}o1OkM^3a>3r7Fp5f^1Qmb
zcN>35OAGofnqc2Vp<Q$2FFR<rhr_M$)U?_^=R)3K{Q(??ew)lM#a865Tz(bZMDOf+
zJGWO6J4HN5N}hNjp^cN_hxDSb=<06ACb)=L65-ELOEpP(bTiSq^}8O&jcI=wSKRlC
z{DQl?zvV~R@T}T}2Q+6pe-lQBxIG=4W-lEhT4ckw1@>vVo%6Kf%yUe1Ey8>7<{-}k
zo}_6;-;scUO|ZgKwk_t*AM9CH=g8S$=-@`Um@ZvwA<Cks{}k0Xt!Em5QMh4v;d(NR
zXQUMypLD9E^~Q~SrX?jeCv*?ox*b$2_R})JJ}36bz0<SnrwSuq%68uMTqv#yy>hZ>
zU!*vp(k{*SE4hp^jz1X}7zQOgO53@~+u%O&>0NMlgu@N_x7^=X`OIWyFfCGp6>$?k
zPtSipfj}WDmkbTq*we5KK^c`uT;^QwjmA`6#kHTi_pat}<PcwU-IRST?^@5yCFVul
z7)@jO8zDz=Y>2dYsU)|m*=i4+>C$01Rc%*Upi6%rO+OJ$f?!Mt&J)-D)xlMU9VQ{9
z$Igi1j+C-6DRCqtd4xMB+s(&C=dhTZ5K1bCh70kG0ex+&Zg?}<njdPOlJF?|aZb16
zGQa<vL+eFe^4!q}$KL2Xg5ju?A&9<fm7iut;lj!FQ+*GM4?QKPNe`LtrphaBGMrDx
zx8FSI`4HIVSW6=VyD^(9m+4urAIq<<`RG@+O!p4O)t0jOa_(T~O)ZbwL&z-_`t`X4
z=`m=mQPGB-*V6oued7zh9_IFY#6syISajlnD=Y;cPCgWRnlFuQ#-6AgPu)v(Er}jF
zSsJUEV_15|p@5Zdq;_|-89Y9NkuCMpR7Fj#RIE$GSH2cFD?pzOTH9zBC+aqqFF2fZ
zKV`!32ft`QgoT@gcdsQ`k92irqmJ5HyY{oy<3(eyWrw`2h*wd^&63)Aeoy_`CHAcB
z>O4M&MJ?R!l9Rr4+=*lG;$Ihc^p2hyfAXVo=}Ag~(A(RY5F8@V&M|{F5a~~m76RkH
zEmvrs8YQ39E&%(Vycm7FZyO^;+xTy`V|AZ5aSxL{H1sl3bXc3(D(BLd64+Zj!tiK0
zOt{-AHN~NCzG67TO0!VQsPX!&+Y+TVIL#oUyM@MnEOC6doUnxD>89W*VGj}gxcCV0
zM^`($J`)Wqj-%mj*-(Ia9Hl;ebj)E<EmIxx$arA%#GrJg!QjX7#I2OYhw!eO%^7)!
z>;91cqXlTy<hK87X~Bk1Qq_&_Ea`bKOs70rk7^%MuisyZT|Hg8QP#QQte<+;P-zp{
zcoNY#8}<On<VOS;kVbVV;XI%vC|cig^HZ8;>2=%({AKb-AOI|t2(FQDimZf}BhSy?
z$-SZd;q6uL;<2Pf#@+leO{>Wn(_-X!@)K{1HGXxDUqtcGC+BHK<>ormeMxS+7xNL4
z^JSXlk5?3>>|*(e(E-zWxrRtdkw;z`+2sB2dmC7Hr<e;4zwzJ1S&j`6YH$G4Fc{~1
zTsUJvrr_{%11{8ODpu_mtx041$TL+fbFhh`ezLmb{fuLlwuK(Di8@|VihU68bw^qX
znWt8)c`ScD<C@=x_vQ5nG0R}a)URC`Hrh{(D$UGqrZ(j_*^gtj|HLSp&)kTs4@M2r
zMJSAkxoa)Cwd?1)5g9F=$4Hg-HY}O-=7-SuBxi>=u_hY*v@E0_jMiml4KruY95Fk9
z^It$4mX5?iWj`{OuxLd87E;%W<%L(Le4pJYd>Qf>hDpp}aavybc15w2L`r98?H)1B
z=COFmO04RY{{23)@cVcsu2y?tJh2wd9g{Svl1wz5eQ!71_9?xdHx5K72UMxQAE>?m
zql^D<1<<0QnxK}xtgkbcW*L68{mWx*o)E1LR;~pL7@WkkWndJMm>;8RD)zs8JH=`u
zmFD60RgkqA8}b+{G8eYg>psT+LP2HH9YXeig_U=yA<k9Xl;q@+nf#|dwqN&81fR1%
zpODJP{7?xN2VJ({QFW$*rY5TC2@f`Kz4e);LFzm}V6p(auV@-h)~f$Wir<*7;?4WK
z6gnvTZjN4@jL_RYGJA|;fgV#=90R$uI>9;H$_0iFd?Y}EmITreb4Fmo_RGm`DacBJ
z{8o`A_mGYq{Rxj}qxP9b0;@H}Owfz#7E9#u?X5FPxVHT$NYSpx(dgxi)?MJMGp_fu
ze3b3vD5IO1jAVh;+0IwgXkl^PRta6%kAM&WYiZxyMR~r3qR6gd_=|&P#6#U1#xt&P
zsYgSecdCEDt-9=eCNLZIk|GYot=|4{N9oUh_A(KNYSdJw`OnK&*%BXaSDln7dEPq2
z3amZ@;vsnXn-%Q|!T&V%0imOdqcxQ(o-J+Yzm_m)c*G^YmLb^C$7tB>>(d<M{b~|h
zQH6Zek5GazC`*u*erR0kM&wajyMJCwDUxh@ghYphX1>VnLQ4cWAG3STYXjE|GJBP-
zgKs%2N~1guY53V-NHI97b5?;wmZWZN5sA-+2Wqg+XSrwo8Yt+U1{H>qiboMU46iwi
z3jgq9WMw@30DG7lGyC1e>nUuG`1&G4tcJ%vLAb)}Q3P!~sfb2^C4k+%cgc2p-Lg=$
zHXkfFuM_GKpAvW`R&Sz<Qwl#iaf8-bKXHS59TR!0Q@mr4mFN6Na8^2}?HECVuMc-m
zJ5viXx}H5I`|h+R@bUMZgGkSMUtEupraTnkWi}916kZ0E9~eYmDf$YPpo9y@kp$xu
zAAQ)^w9n@nany~i;J*=>yK40qrsSb9uiNG5pM}lynI^j%^M=p{J)%|EtT;kBC6hJa
z?Kpj|*mA^<-hGSIaow@Qa**}(>R9KKJqi5+=cqgxoTkj7prQuCL)q!$?9N*cjF!EA
zgl0Ujj93TdOFuxtQy?-kGZP9*H#7rt)ExGn>jgisx#{%E%6%^)C2QA9yyMwT8Bz#T
z?uhou6^3xRI3^zXE=#Ka0%e79&SSn(y`%bjctF{26KOt<7%}2`t47RibOeQ7C6%;d
zrrAG1w5|Kg0JiUbFMi~_fS-!gH(Ld;oACf_EhvIG1R;24n*HvA+asCaVq#)o@1q~8
zsL0z4RJ_u_8qyn^2PNQhUI8<NXb(UORPQF5-nHQfdLFM2(|73Z9Jqe~_2)RDXU}dq
zlJ>Z5V4;vdL2Jq3xOeq8&GH+!`b`H(ysu6uzw0XQeQK3l3kqi36?c)LF_d?^3>z`M
zwom%C=9^c6{;Cjv#i^}jKK#hNUtFbbraBC2bu1w-04g+vQR`)tZa#3A1I)DAU5D1*
z>3)Ld(^TOPt>m%NXQk=aCGQCh;lJ*KmDi~C6W@A8$LuU_o7mV;1dKkfhhIQAUGv0C
zf8O(qeHh8qNCo7k8ieAL&4e*Sn?s0O2Oga66<S7_;;+DOPfDv7hV3uJa=#%v)+8lM
zufFrgdOrWI)pYzpEpg?pC(t-x+O7D=WTx~=>icQr4w3V%jBJxvfA)`oT>URrjI2M;
z#;^f@+%yly4#uQ~l$FLd^0whL)$gwrB6#6d@+7(U9jaLwazx(nMv94D-&E7O62UFq
zf-_?yWK&3Ne&MA548I@uY0A<3@7kJr1?nJklj6kYKZx+jkxf=5uQ5{dSXr@5#ZpvK
zA3n^ApdYL#(_<D|5xO_HWc@Hm72ijJJo827q7M!HBSV8Bts|9W1ckNMaD9Hc1^-RH
z3{`dooTU}}(J>>0vG-wG=bp^?r?$X%%QODk|EF@IOvF0V*w~oGVa*~0{pQfp*w8S=
z=A~WPp<e0*(4ab#xK~aj_UJ+tG8i_$94h07Z=#)dz>gX5F5B#0INBvSoA%Q}osYr|
zv4z@Cw)rXfIxh&h7s0ibDBr->F|ZZS^j`<E8mQ30g>5I$rG<rCwqS_?4%8HGM#md@
zZlpRN8vS&5CmN6zgNa6c`SQgM+?Mu(GWYe#$w?_#M(B}w#q_VH`mLxT!#2hrqb1O7
z9uMKWY$&+6w2<1=<Y@=nCsyMb@SwRubMAL=e%POB-fPJ)HJ)o=wYOZ4Gqm$NM#A@I
z>a+|8THDRBx7KYw3WHu_LrPA?ShvvZ>!I87HmR*tUk=6^tSs^=^)yUAi&819pxIMS
zMGlGg<B5%FsEFFqXUvjjjl9A(LZIdvop?YMmzJvOBl<DMrV)BH1qum%V(L6sku;)2
zr;d$&#3-6Setvqg&2Lqkj>9$Gwhx&up7?XaPJ{=ipM(h7>JGx$Zz2c2Hy%^koJWzK
zChjkaD=J+K>HO0n*UCp-emvI+-K7(wo9K|07x29}dNp!VZ7+i=|5r3QZa{zD<@@rC
zz5cM})5}>Z;Jv!Imrk+Kj%UWg$y*LyhP670McV9o?*Oc@BGJ^M@QhLCUn*Af3=J9k
zgkc2X7kb9lvgk`uDzAnuWhq|_WljcC_CQ%EAT9GUTl_|1{5=it!+YE>iV$;Ik!+Lq
zh-n=MPfw%5-`~rF9l+*8)VbyVC9(mXOsvM<=JM0lN&5PR@^JS17lvg@!B=hqYTG26
zZ1EB6kD;}-KYpk!-hj*4mEnB$9udLuIHZ5+n<`gW(H}nFn7U1QT4jUs%!O4mdn@XW
zw|Fl5Tmh`^HQSz7(Y*Cjl;(O!`d6!GWMVbBjyo<wYV@6M&@XlWq8+varhgoWmV`k!
zSy@>r8He01AF!^^Ko;|Y3HETN;LyO-)U+4TVVUZYOVN^)QK^&j-OrC>U+?f_x~^^S
z7lP)|cTGC>h1&FV?~O$46~zIiT%yGG>yz_Yan?4-dvT;QiQf{_4!#9hr!0V`uNZg9
zO&TX?97kk{*gwF0_=s|U97u0*hto+GS=!0=AP{nuNkwx4?qOjK?$=F!+&$#4ibDcs
z#17_MX-77Ek}<ds&?Kfp3z?Qtc3A<AI|2(w{(3cMS|k8FgCD&d@m?ckj&v_r#FG56
zyzr%zT?}ktfyXJ0=l^Ur?NjSLUQb}6={wYVj<c>Z^UTB2Z}WQJw1?@ZyuTpxVNa*f
zC^ub+{P!@w+rwZRzZ!R0pTn?PDDi`BbRR43_hX^iO?h8K?Z(VoQt*r3Ls}EQTixw{
zWlS0e8lv-;ES2q4a`rfPcU7IjBIyRAV~Km@YN!|sjCB3XkE;ty5|D*_QdC(}VUqNX
zeLFZMF;-Zm?U8f$thbWjDl-igJGVO3d#;V=oZK|xuBS!AYUnowcOz9A#g|c+_=9`;
z*aBfmvcn<_4ex@CNO@jKz+OK5L}pa>VDZm(@#C*n5AZ17MhR5cMH3AI5$k2tiT%k|
z>`4q0iE0JnRmUO*4(bkSOFDB?UU97M6bz~H>U~^?^{UG*OjUz$$U07~fpBKq{RjtK
zpr<?zBK_{&!oaXZJMiqW<@@X&cd{C#3U?>A*hD&ku=(t^(rJoI_oL5F?>G0XGSmzf
zM0T-(^bfb`p-<_AKipa{{fRP5kc4ya%I`l)kDhTeNP%eLl0Jzu53+pzoFqQUH{-G7
z381Q~x_>}K61#p~1TaV6k{=mdj=1beWh@Rkc{Z*-9A41VirohrEO;R%iqU@*HsK2~
z+_Z{Pr^A-P<6wE7jhnWFkiWz`yO3k<76+i0hv0|rao?5rFI|d$k=K`F{B3o(Kt-`1
zA9tz*JC^%1O!l-9DPD7}lq_-Lj#$r<R;mo|3`(oeR%ypVxjngRx@0}nXbt4wbHAD~
z!bep<TGzyuBiWiQ<-%b78q0M#THjP7)~G!09yS@Fbo<C*>^INs?yZ{MN>51*DBWt6
zHU<3_bxHcT2s1diJ&JRyVR)*nFJDzRaM+#^pom?o+Z$n(PWLtTa`2bcVFb~M*DYoX
z8y>Hm`AC8Dn}q#e*E^ZewlMS$A`|3sIQmUSg@TsfJ#YVdFFS|2<)42mDLy%UIQDI4
zBl`SeujLd3Af<|^K;@V=b1lJhlU^0To6|(MB<o4(&+D1U<R?|+YpGu9PbPzY>k7>9
zm&zQ>EXES2Z7C-zWj#?wd`ayChVTaOy)w|oCOxm1z|TJrcPC}oq&K`eA(jv(5~@Wa
zFjQbmWj3&G^HHKjqm^H=mTBRM8j<oD<CrcOty;d=8cR9G4e$F5!60zgu#G!#+~mY`
zV2I~TL3~~?h^gx*lnItAgFsqo4y|bfJ3XjdQUJ!1!a^_p6jLIzN!w0hys;=>FDd)A
z9ryQ?&0YRk(Y+Wkp?~p=(%leWewezMX&MK4@EN!Y@HJIDr1N0&Qed7a7>w+ocMktu
zy2r_l)e@1>;ivr79uq)xM&J+qCTmJO|0L?P`a9e|>0g%+paHZ{4=2doit4;orKj_i
z{*^L>?>ZyMYqQpEHdg-jI&0MQ+TnYV8|kiLz1MLC!42EBI~346+l`>|<(X(Ll!zod
zxSSPtmuR=M2=>Y|`7|DQu;dj?br0GsN3<(p^;aAgxZ!gohAMq(kIVlahv;SZo_pEB
z6kKu=t^G_m_0T-t6XY20(K+Gh%1CI#?g!%483S@Iv*Wi3{HL#{I?gQ5%jTF0#FX89
zCZ5?lADV~Rmg+n9*WR{?)`#ReQZ|QOs4m_9*cf<lo<2J1`xO0*yVK>N5P%*E8-Q7F
zOdJ*J2z{0xs&~DgHzWnMlYV+H<dUZO&VyVvV!l;;ZIwmkV(5y{V%`x4pdK`$vf`R$
zU;X>KX!Zm)6BZ@9rXpUj8A!FXDZApYH8K3a(mZ3~?LEgA8LKA87E9_(9pPxLo538a
z;Qo`jWf>t32Lb@^*q~--AqxMGY!|7B`fs|FY*Rp5^Nw|+7my}X!KJX$6L4o0&7c)I
zj1khMkIi^=d$u|1w_P`?bEtgA;@ZVmKDNc@9ZDsjs6FC$^*4&O<0R$D*_`;qJ9$Ye
zJk2+05g4DmNn46urnWS6j(hn~JycG%|6-*e2g2##cvz*`P)CQ#Ep`csM3O?vz;jCj
z&WB9vBO!*L>MTY#2kot|+Qx)Wm8TkP2ILo?8a;`P_`?nNy*`tDT1d-3L{3>3VQ_7+
zMCT>nT%NU4=^P1XhM&dC$x_fFwYVGmUtWa;3i?-XPdK&3rP%S`?)3R|{9gU~wl%0m
zMMM71>f&ZnH&wj$i^;l=0~Va6`;sjW1hyQ68XI6K=LUO|Jiy9~iyT<5eLao<yJ7et
z=a2ngg2#f2j4Q1M5Aeo9o`B5{1&onvx&YYmt?T1+qrcG<KeOqx;hjCa$0_ul!c!vT
zZszP5K0QW2u0jb|CO`gxzE$C=TMUR{f7gq67vpe{!ghBR9KU#DPYmQ|sXq1bt(FfB
z#k3#y(f(N>n5lAFIdl-y-Ht?VBor1UgajS+lNM7!AASWl*$u%YC%3b*5j-x*h|Q+8
zmkxEt_#u+P<h@O%Q<cMyc<BW#V1E{a$JnaYt7L>lJ{XOx3*T3`IeNNccW22!<9Hqy
zoO)U6LRaHkbEdr^v32av|IYCKtQnFXve!VSaJ#4J<!gK&AxPNk_t01ONm>_G{WBz9
zJCc4(9>pAKzA&A3dv7&PrLdxV`j$4vM0wwdYv1#6k;nw6<kB%&+3J;>$#uTTah+7t
z{#nw?ls4Toir*nfXCYHuxY3_I^izg5xEfj!;$rkFLH3+zOe3~E#p1c=$i5TAWEt@e
z5c87TXCVwLaygx8)pUF>Ca&~5(KQQx_p`5lD)qVJ^^b!*7;atkjr|wO&1l<_!<5;e
zx7mB=b<w}RagE=YQi*qd*s-{;^kVN27fC9T>-A1RjlGLx4)K`&&ksV`-$!6Mj3KXu
z>Xd0$$^5NrKfU*!!>^BTS8DhxE#?`8?Q^2$78F>T36T_*Q}<5_q-Y0U-GhP!ue5Qn
zzeu9TgA`BBQ_P)8%HS?-lvLPz(ve_Z_h7rd-gs`5k*tJ${F>2{PV@FEHpOf8Bt=Z>
zc`)g<2zkd1((LTw+Rbm!C-uNHc?XFe?Gv996-ZesJZ8XnrKwrJ^>r?*l9Xv*uho0`
z6?VVyBL{tyIiARYrEoTDSHe+iU1MZYiG1VoVlqqaQc(2A^}iXrq6c7y#jN`V%*^=r
z@VEGKxUH>$p{Ax8ru(#GvLV<Qpe!pJWU4#X3|x2Zoy8Y}hY4PyE>?S(j4#J8!b-op
z==a46MmgB6ABbO8*==E6e^l=hG4MFmR1$F|w@CGVZr`wMz{4SRlZ$1UgT^!B`2923
zDy-p^^>R9Od{Wq8m|2>{Wc!L`+I6FiMd~MwZO6tToM~Twg8nT&@#M~`M8}r-4d@@X
zg|%_t{mcPZ__14p(M|Q#Z16o_H5TDhPk!a}D?M$37+S2M;R_m{)R3dAP1cGH0Bq7>
zkiWi7bc`|dw!|0P{=D`ygn@ZBWsXiHdd#g<&<OE`d`hlh3O$7DJa^UY(AT>>=2dUj
zu4$m_i__%N5eyuAgDtf7l{4-)=I0KhY>(y24pSpdhkgtETr7%#0DBEi`+PR8S5*k7
z3jL>nVqZqd82(JOP8%D@ky&fnW*KF>wVb%Ki*|%;Oo&%oXf4UwTVo<ObQ?HL!00kz
zmc{y)YrVwbkNNTY-<OX!cQ)&oLg~2rr6hK{zvHYD6nam38aP}{xLXI*T8qe;ynZoJ
z({yu+01@2OP+K5j;iAks%h2$uLt(egZj^g`hWz9^Ok(}^#-n>LA!QTtE9?a3`)$&|
z?9IDH*L_MV_h7=mHz_fyMV*_$TT*(BnN1gC!Q*u$e~Y5BD#>PZkc($n%}SHcJ#;JL
z=c0F;2FFu7kQ_KLR?7Jpx%{G#nr21T+BG=-n17gy=-Xo*R<S7AFiOL8lsU>1UVhb^
zEb24@Ha4}_-ncg!*`%Koz?9d>TP>L{-v9|do6GQ!P5#9{@&gaxWd_=w42Vy^X6^!H
z+Zg5r7Q$yhxs=py?sT;s5g$<T%HY=nw!A$#(@gi<HUdxn3f{zGmN^ZSZjb%xH+~-q
z!4Gv_kBp|8_CA9(nD4@Swu;m;e_rJT>XbVlxguykzSF^>hHe<ugNL&?c3pB&uB35z
zSQz+J$d45c3%@SF29G{K8SMDX1DlFGNa#h-6j2or@0O*5?YBQ27O=aPpZZ)LlPaZ2
z-pJOZ3HFOD#YIOSvliRVRh@+w!yD-Y(QSwBo`!dBF4zP-rUa1mzhu))m0*qdVl~C?
z?&!D9p7Mv!R_aRg6+h@r&3X|Ne+$>rJb!(|%435Bu)bgFtDbHsEPix7A+~OGpr5g|
z;9xmc%YN!ja!P%s@H|S`JYzpi{N#K$Z@~6ahnP7&I4zRi$l3Ia#n#spqmfD_X4fFo
z>i4>4KI?mz4yQ<6_uVnvt({E@;w^i_$+uuxXW;lY;q5$4J38Vl#JxM-x8v~2XRPxS
zg;n2C+5R+BbkTj-K;_TyFw=g`j+bP!m9mxkhjflsDvsMf>4@fm%QD;P>V$G-ammw<
zyhd_aU(TTR?&@BphQXxV+eQwJYlP{l>yG!{*nia^5Ud!|HBGU~H^GHVy#=?Ob!^;p
zbGi+gO*+(&=5{GaSVAt$<BLwTPrZ*{eqcF!p+DJA-=qHOp1af4RMCG$VQ6ai#@?a4
z@7(N*n>Ts_Gg-8NtVEWk)_bZs1koUK=2B*jJXtF#aO2;BR`hvD6oK9`^_164K}*>-
z;r|ha{#|<?{eghheYA16(D&zUQU1~y!Ir~tv&0}n2Ng?W?h1GET3ci!9mDke!<N;F
zkDtXZSzj-i3Bq0mSa+=@A2kU`54?9$W>#h7>LCMcSwEH5?NW;d2)D{A3He!mTo6~!
zbnlh;LJmkjUr}scNvzr?I4f=pJIXi|gfK58F0TDgFTiShYmfMxq??n?)_%fl79SNw
z-Sg`Sk=t-NSEjzpLTCzNNu&xm1<xnK6<nE`=kGZDCG4dvQ(VSI2D6SRZ(3r-4&b+d
z|9p~W!?=M$X-xOVN4Ua(UfqnK*GA2ekWb@;`N%!SlB=|!jo)Q`&dcU`HG7<Ye8^Hf
zS_^(29y)o^+GR#^JABV8GqDzlHOJn?F~K}{T-=V{L=&f|RFGx9`<Ly&Cnry_Ym%t-
zU3XIt4@)G{M#vX=NXesv9zP^cBO81-Iye|LvNyH2SKszX9qbv6Whp0V$p8gc#Z-^g
z#PQ9|O$@qcw)?_DLbeB2H){}TRu(@)Fr`WKS+NYK;bUR11O0z)kTITQ+{_lNyg$r8
z3Z37WqPe*I*H4N^t|t{zlQvDGB%6l2e>=<`xkD0c)*bJ|NHx1E*2zp`pJfq~JNqDT
z$t>dUpDM4s^!#I@=N$XqoxBkp#qaT$j6MY%=2+^jD5g<%E~k!rO~E(wj}o`M#%7++
zQ2gYoX3n@P#wgT5d_laF&4C@47L%p!>XIQ3j=O)mFG~R_@DY!9NByVb#*>r2=1c8c
z9XxkK@&Z@MF$ewidnc03v<c0PC#PNZ*j=A7T3r*@iyeopwjByP>5|)ugy621qpitF
zVFdiOOJ=5BZcV3M=<H@|b2e;HEfwdkpr9(XI)A%-Bq1w1JD)N&rRM~S0u{5jC5unl
z!U(RY{SKA)PToFyK18-Da_IFCNspn_@E1V?Zt=WSGG9cd;ND1QG-Cm3Go<NWQ~9qZ
zns=SqoLmWNhFJ=S)Y?KrA=mv0=$s(d1Pt`A^@Pu?VT6uj_-y;GVt@GAuPhct>@^+T
zIuJj3eA%q$UTX;Wg!jfGg-V;1NpJQjJ02UnaGO^HJConcEHN5#r9VMwHm3TX=6cMB
zDA0KX*NyLOd_L%?Gb^dj+Io)Lj+eY{LZ?eS_|^F-_u)PN6$zEmM)}vpsjg;gt=V*~
z0etYXr)euwUPkp)TV8TBpFJ%28<i;BULM>3Y%kgr-#W@m!Gj*%M<zr7{gE@PA75r)
z;ULK1jPC;yI?0zske_uD`nA9q0-kuN&IUzHOkg*^uu$>m-}eup7lA0okJHuQfppoF
zloU)<@Ho~uB$C_0)BOIky_q9`Ima^X@ot@SPY!}f`%y+F#;196oMyB}hQ$HXFt5h<
zhvzEWaE~q5`Mhu`hbYYC6umEe@0|HAj~{Z>1utXCJDw6{hAQcKXR~sTBlFT|=|x?a
z0=MKP@wZ8vcSS_Sn}aq_w?A9$zwO5)n8}PQfc@s71XSPhhrM40b;)4J@11;F1c@8H
zW9>eIqM}ZMO%`@4|2%@uNC_6&=Hu8-JudcOt^_>jX|^->_kCs~*!1h`2lg7eLBLcm
zx#OOT;e9*sSa~zf{+38mGd{Y9^IK_Bv$P7Sti#UJ@2v<YUFWH|Q#X|j)_QcU`s0Q*
z>>DISSrfU!y(YdWGy8R22(;!0V=JAt;~gwOz+LNsBc*Jhg5}x&qUoH1BkRI7+({<3
zZQHgvv2EL!*tTukwkDd`wlfp^^nXsBi|(qv=&Iej_gbIc_gR%1jd((GzF7E0#Q!|2
zga9vK0s8)PQF+nwiNHo0{i^J&A~v67%%Y8LyhMM0Ms9h&JE-AN#`pXCQ`((P-1(In
zC+&kK2$MIk^z|J8alE=io}$d<#{gz$A(ywG^PJ}C&uq&}$fQhlrxh3BxHlm$f|qUd
ze$*x-y&zN!&ywh8H(b{bI+Lrh3%pfL+$;xkaq})D$$Ve6@q+sv)9AnrU(ag=`p^%v
z(@y7pld`9tjZ3}yZNJ>&<At(c_5~mFOraYTVQBv&+^2VYx4WGp=bgKFwq0*i&B@O|
z9Nf2OIXG?bF3-U1=$5|72NQ`ug6zH6y8p|qGS>dVpkt{G@8b{FtHjY1feDk<N2BNc
z3}>`F-`^1gBz$p*?TMhl8sFQ%XRTw|?*OkU7!aa8vIw;e$*s&kBsO(c5|F%}CRpVj
zd7K9B1Z4`;qm=c1T$RzUJKm>iXN_Hq%G(l<;tbvwT=p6wPU`on&#5Ne?V{ZZ8|P!B
zu9Iwh$CceER)j9XGAhUTgS<+NZl{kvu~|_h{J94!SEZ{@K)aj{WEX0eW(?GP!YIL?
zGw~H`o5MJFaDZyPrKi8x`GM=5gsUyk5UTx<!yAt+SnfWuyR+pHqlN^-o-|rk8UdII
zbutzjJug7G%@z|j&)MNOVWN;v<$*5KBFCM}FfLh$KoFE~M9x*z&{(|&>^;A$Tx_j(
zI30=t-M?=gn{z-EhHp56S#5;Ye#XdRXDMrLziKC{(DGR9UyPosY-x{@+T@Pp-Kf0Y
zBpWp~hzP-L#R3bEK^JF((_<z|q|K;y(7@a@)EA3qSZmdTn7s3USW{WOEn{{%3nW7T
zG)#|2=2h0IA6n;o=)x7u49&V6@o?l91o&Fb)@tgaH)QW#<rf2AqFRLblKegTw>uHz
zP8M7*pI;^<3;0qT-#`H_N{BrgZ`^(Qe-(-7*}fOB0@2FtO=5HFGHJHoS%11X(X)GY
zb%>Jby4?=0Bev4_|9l)u_h|d1`v8tU<C-ccWN_?qj<_lIcobKia>Sm6x<uK8$Yv|%
zb}n09p2ir=&m;5xU~oq>YF1=C6JQtZ?-j-&_fBE?$ej17Z5+3HZ_iw>&qMbkX(hNQ
z<c1LXUZ;J}?RbojE9Ke<-e#_o)OtIpH)hdmwVAG4*L84WGiB&+Q?(Hv$tn=R5O-E`
zqT8ZMIjcx9kPWs03>NlwwvJAA)(o?8pgQJlWjX4syIuMO-7VaIXRd2WbAUX(ehzG8
zy3FQe=JKD`&PD&s@4EqEOtvG{p>|g4XMp(_m^WD!!_6S5Lop?pdIgwVHCe&$W^F2(
zO%|~3D9R;{xcfsnM5S2}lm;gybe;4`W~-Ump32{>cYjYL<vR2pf4m<MlN8K<^u6#c
z@By7ZvXA4viz}<Qey@8)XLxJ!6tcLv4pT3Ge%(q`W<?m5A)`GhHJUH3Y&NmPV3#Ss
zznO)BX<672vaR+@iCGvq?6JrE717HTav$Ubp;JS%rz+cGu7ksruN{U?d&2MbB1;&6
zM29{c^csmwwx|M`PT5gQ0|1<8Qv)Fak>`Te^}66$yEK1KX9!FV>;eE3PMh#!ymr3)
z+MFxvxtxbDe^uNpcMG6(q=6nu7a4pW>nY(N%{fgaT|I-BAa_3zU+$#|-URr+zkcA&
zN65|w5xVjEQ>tQ|PWtzJA8HCTE1~ku{Rp#-)~nt8=lHhq?r*Z^gC^yM2YA9e>lC;&
zte@nSQ!3_?w5WMS)=~*rV)OqLr#`Am2((J$NJ0#!#<5qAX?!It5+%V00N2Z@|9-1U
z={$v!@ksz$(#lSE>tUR~FBdexeygX|{`$m@FqW!;4E{&_uBX>M^_a+bI@?MsD1^gZ
z1U!S-4^waxnq37ahFktMm;Kq*I4cPQPG&iI3Swgf>Ykj`+U=I>!E8=`ZGv|i=rgCf
zR7*-a{hl?*y~CV)!ke{5pc)0?7VK)<-*hrBn7>~gJ+&9o`{bJY&%GVuJr}O0B+{|R
z(S)D`NpTJ;*sa(2IVd+fJG5Eptm>G<5$EUU%m>A3Q4O*boqHm?J=+#;-th|M(^0TV
z^qUs85j(1xRFmRrftMan*{=QuCzC0&b%c;(Lb=>t+NWIjI_C@X;|g=z=`{nQ;q%~5
zs1L$}-_Lyd(ZNqZgZKT4yf`(MuJ0~~B!f}AX8ZB}1LwbN?-kpPFMPn-%Qoe&YEF+i
zz1O?pV#SQb?cyV3Z1?LjI~xs$ji(Vy+y=o4pdsQC8UPfPyXaf5$|sdr1Bi;Yoy-F*
z`?0ms>|RenEI;lC4gb91@*xt<KFqHE-Rl@{Yb-Q*z~{f5(iI<AzBpa{3|1>8?;Nrh
z`qkpvTRwMGyWZk^+C{&;SlSkwTjP63aQ{ZcjG~-It5`E8z0DTjNEgpkOad2Nr<jrI
z)Nhs`^#F$no!J&-!Paf|{WV<ua3kP+z?B;5#4j$Ys&H(imHYlkIi4E69?ZuwwS+k<
z;OqUzaJtxWAZhRhX8~MYQw%B+D`<s(e7NN5BSv)z+S3$d;8chjcz>Sa+2yDp0j4Ds
z_w|0J<XM-$L5x=NK1q#31cTOQ*>&3JApqRZYvtUH<NTs|gd6Ul0a8CvcqQwK94G8>
z&5J+d$N*4Is#+(5MJ~OU@0<3ZB&x#U-fVexzVQP2vuCr3$bFpSTA+XxyYoD_KOPrj
z*y#*GiBU+tPrBdMWL&3sfvWzN$K<SKob1?{R3&ln>39OaewBS`enxk$U?;5ws;DKP
za?h;tch6nmNfQMkvY<fh+(#s|F;^j*$ajYrC8M|V((J&RMq+a)gr1#c{oL$=iFWBT
z66EyOH~s+Me9ic?E2z1bx+ZHa+%UNu+Ij4iX<0{yq0Dx+=qHv~in-IU{|?+2z>tls
zUD$ChS|i3aMQYQ$Ij$n;QSG(7guNxS0ebDa71*H>h-)$sQ3t#Oq6@pLAA74=s~I}6
z&lg*Mba-ON=ZB53-A?wO+cb$^Z}5Ug4}QxYUh_?ZNPoAMmq%A@cfJmQ*G9m?Nr{Di
zuv62=<yqE&36O7G(i7I=Zg`I^HZtkJ^OcxNo9@YBeY>wD`>qEF9Xx=ZzMK^HjL|L`
z!)h=>tGr{BQEp-gY2NorTI_n>u6U;2-yu??MOEgQ6Y#j>o~~UartXTx$4wKI;GD|3
zusCkln46YMd@_l>kVC426MuI1%~eCj$E0s?Zu|=&cf0|vWvL`rWB{Ydl?^j)zrsKy
zKSCV(zXT6<fa9JAz&>9~<0NB)H%Tst|MzY<zS>x3FtS1bdv<%RX1CY71XZ4k{a!3B
z#LGm0>-p$np@LFuoC#J%lw@VN80PZv%~+cw(&?7G1ot`YS4rCjw-gNlQwW{uebTBA
zAL+W!Uh8nLMhD*5<1<F&7fFkKjp#kka2F$d*_V9My0EKljVp6XpidIlH)4SQuiL;K
z*d+)!qYc=Dt7?Ey$c+8z`H#@|bil-q7ds)$%VfxYdEHmvH|G52K-;(L(i-34d*$&r
z*z2r2E>3oYErkJNg5UY*3jK)8T*#j&0It*8wpgxwXh2kvrYQ^XHk4r7ql-7X*=NBG
zS{!taRS07aR)>?cXi5|s3~*6KvvVfU$#1Opeos{8B5sFLyB#NNaOlUb#Kys{S35lF
zBixybE9HUyz5XGflvK)yeL^!40SEwdz|XGwrk1wD)$r7Iu!;Kxhs%y0rwDa@(s$YB
zN=Yc-WnJ{zfvv${3#-%kBVM-AD?~R^;?CKzR}YD-1N~<`6ntX>!$0MHVzt#HhZ9bI
zFrjt>;J90BW4#OmW3*D=WDH^zRQ18TNC})_T28c5M$1CQ^d~g;YK`KvBJmvEsX;yq
zcTPvc-``#)r|rv!kRIEBO5b6FMrX4Y2^h$B6Zz-@D1g);_<klWa*#>aRv&Cj7MVN5
zPCtKteI#mL5);}il*)vNL507c1D@}*HDE76pA`JN8i(s~a!{X}4zi}#;T;oz7QV^*
z>l-<Tdl5*8Xd3miaYi5;<+uw1i#?p8Ecx*fI0m7D!Z6;S{obqg5_PtT>UaAV&5H4s
zyRC~NwHF)_68OwVg2uLifEQ}ni(KC~W$Z~J?|N99%;80X!1c*-lStP5Hx}%r=Z%<j
zPcn|Wl_Zad7L>_Og#7F2zWa}&9v%bKNh&+>&p>wP6!BFrghgM-Uj$4;^rfAd+Gbl1
zF;Yw*9zYtJ<M1p0yZ7eP)vcbL{rGk78HOj{$~G?>l4Dd9v`<zr0ezGPQmeU*Ezuc?
zA2e8F9}Gi<W}QSJ4oZnF94+Us%lQ~|4Yg-=4fLLy^A5E`AMfH0YRvtr8;vN2>Te=Q
zh46X{icd3B-*gg4)k82s7+4{1VtVRz%*u_abgVZPn&ID=a9~gH;P9!b$X;#av^QIz
znf&C;JX9I|VXt<NX(lM7LXo)$@=-K3!o>wxRzK=-dVP&#`4_<abeRSXH6r*(?U}Tn
z9}!DX{~BQ;ye91B(99zck-V`4SO7^;U(ZT7_c;TL-a5_YcD>il$br}?Tm!d{JUB+-
z5=etnS{n_W`d&S%FnIkZIsWZ6eEiFmT2y2i3oY>C%Hw0QMmvkyt6pNGxSganjnGXQ
zJP-|$8%==%vSH0@^K~Pce)Sx>5zI@`aI?dqLm5=w3C_;5dcFdcc88-Vhm2DCw~X+V
zT=@t96pgK|f`SetAvmip2y^jYu2cdYMYZ3`K647fu3Dz9^Ix^XFx1aTiiq+$*Bc$L
zgDl2|Wr|XvN^+2HphigZ?WF$th=ZgC?e@8l15r|&grlraKo}1qm{ArJNz)&ZN<}pB
z*f^ig?(TQ~{V%WAT2j{QS?<2@FuTz1H~|V{M9_iSbUgslcjm~8{waYrNXr?IT-0kX
zru^ebB`f?`XyCWD(eK%baw^DrAwg*B!tA%VU}jiLeKw0GX5G}wZ!|&Sh519rP*H;(
zlfjZKCyhDVp^O|jz4yC*ed8v-xyp$d2CaDx5Q0c%`;$P*Vw{xR+(IWd#2=79ZH&eI
z8#^UMIy@V3ewb<uNEoYEMIY3#>FzK?mx60e%)&8F3B<enl95T$5cG?FF#nn>Ryig}
zluEw3$EkoScA@m>r)8&_I3ezFxk{<Rs?qJW(ova8xp0SNjIigHXNiQ5p<3kom5=lJ
zQ<pY`{#WwP@vn!|(`#zPtW~e0C-{0PeB4`6$AG09j2+``AGE?8v_LSSf!o+dN~gvc
z(<{?%1PWjVj0_FT#{#CIFy$)5wERXG#P?6@GK%@Q%M}D3#^1Ifz5O2U>$h6o+Oq}2
znu=^Es3pafkX6XW)V+F*vQzX0&Ta{rkZO}r*r8-b9ItE4Kiu!f;etDt2W_I98~l_Y
z)7rvfO;_n`;&nwAVoYR8j!t0T<IpO`HJ8>jJKm3jwY#KVbRXDN%L{9tr!#}oUCMG#
z0g#8^U<Zh6YMPHNwGOEp99x8{Xq)%~^!$d*4_;<YDIn{%a-jNZKBaL1UxkA$cb;q=
zo`LrQVq{evxI62y51Mbg9+)b<e^kcOf4Llrvnn%aF9ji4)REY8abnQn+zD$hsRp;Y
z=)mc30pI_->>nTc(^v+`I~m+iGnZ_n2_qys>f7%Q41kL5V3CmG$1oR3g`B+7oq`Q~
z02Z^3yi}#{=cw{{*sk#grE>opvJHTV8Ps!W;QeYaud*BQ5lwPdf{-?moNffSILUS@
zq%kfGOD~WgAY@b~TPy*0DhYb39@!>pVPSz9&<GH~t-khw52fZsC(((Mz{S!xmwpx{
z187xFLX5|oY6Pu=mze15+#F?KnM+7Y$dpwyl)H;syuH)?4k<BY<nkA@-YtlZx-tgF
z)UeiPO*kkSzQ<k7wM*`4o>Cq$D>o_3!ESq5kMpdbIu0gDPQOC0Fl*-vJkt5*V?~uk
zB*1<iZ3xu+w1J>Fy>D_rfP5TGP!iwrQ*TWd3(_Gi4Y`q4KrsAR^f|8=A<K>g+~$Gx
zrsJF?z%?j^Jw`CA)YF-K9=PkW_f95=i$wj~5ew`?Y_tQyeLy}SgwFpRPg!Ko_219(
zu9E1Y-O+AuZ}Xqr%cjv$pIu%3@_YSv%!|pOYnkxc-PMH#s7mlxFwJKL+O)wz0M^V^
zo06`qqyzIRzOpmpB~S2}xqQo~noKhN1SogVpWH=jQ~g)-1d*(Q^$B{b_+*iV*0#iC
z5}He@(d#NTXhZu_62ePlROET|a+*goV~G=Pcs($uVHTO$1QQc7(qrQE^Fk3>O}|V_
zzz5JzmT&c@bS{#jniu93wW-j89(B~siJ;RJvO|WZ*>ri^-QM!R_<!Ag<;{g|CX$2A
z+s7NlB;=+F_#dwNnKQFEhiaWP7S)1yVN<^>Rh4GxHkmf9c~G(rja)DrqAc1sm2g3J
za-VBI(4&Gk0yOzOXc)3F;5$yl2z5ROhP8++ZH&2Ooi9=HHSRh{Qrz6<2czoD5kcmb
zR?~Ow<BpAa_^oHbV>Nwli?soW^8sdt2K`fVa*H->Oh{<XM!^w$(tSJ#s=@a<OcPkh
z`$a3zn*6I7XQeWja>g(I>2uvZt=bu$la#7xM$0*sXIO-BH~e{-)G*8#JCa2ZmY{^@
zWN<yFSkCWnosXrV8H(Bg3cBdfU(t6M*d(6Z<?K3L8mVUG{0al`hf}baC#EHPX|jv}
ziwB)LO;4UrAy=?tp5y)6;ai+)?n?~8`q<Nj+f-%>L3jM1(AZXpV_!!qv`&GdEKMp~
zMFf^}ipPYKd%8TX?Q(2C5G>Q|<$G<W<~kB<6_uPt+sKYT6QctmLxmy_8b~XBe`lTS
zIM;y>5X7-EifMgVkTF<2!P|jz&elB$3Y0)RC0&i9KnCHVk79I<St-R~+SKU)tt=5k
z#NM*6@il*U3Fp6EASCdRR^6<W%w#1*rbCT~+a&CEUyLeL4fAB^G%*o5!d&N-k7Xg*
zSCgv}BNkm;a}A5Zdzz0R)<aQgR}$Z0ywRk*MTE_}=idhI)V#+QQe*Y<z#=&Dz^{9Z
zKMn)T`P9Cg(X(OTTTHE!v!9Z%*yG=cL7YE+(vRh*1WXX1jh@Wuonj4LHlcJH0cJr$
z$4$uJ9F0q4*!F6qqJ_lr!5sfBRjLrir7&%WG4+uVYRp*<;pw6A6z@-AljUQ#1*UVG
z{^Sz=7X|ar&FXn=RgjD&!3+#=8eu)!{Okkb3Dr;nH-hQ~%S{FRMMW-A^zWd%-SrkZ
zX?@ngm=|%@yTL`9`Do&=xI(*`Y=t6QN&qDshaRb<B6PPWLM}e+oW+g}6w?yPc9VSH
zyCz5NIvpA!sE#Xm!!$Xn)iZuK8Cd^AyebaHm@oo{A1q@;fRqz+3b2pFf|@H#cf7${
zC2{>D-rsW4ELWR3d|*Qe&``*55cQyUkh8BQQ|XNP>%a=gd@he32x`-x;PyuvQ26xw
zJ{9vNm+pcP;y>+KKm4m}F0i}3{V58_<~k*J=>L351~%18BYrH>Yc-VsA&8&g`?fK2
z?j9cBPdVGBaBCBS@qG^qfs7f5ILA5`BS~>AETCA)`H{DN7uI|pXBqV9Lwkx+n}|4+
z5<w@+d>*ssD?Wtsi6X?rkPdEY%vo7giaI&r7eja-m*X|Ith)Q4%Dj&y_xvM4*8;_2
zk*+3Y$)-O(JooBw8xP+-0%VEnQJUHuYN^doYw-ShqyKQBR3~QS2ght*E^aKl>jn%!
z8^Fyiz9F2&mt2@$aW~`6ceWg>5X5g8-`rmb>NB==#~*yqxyCStkLR%i?kUs`#|?C2
zGiMI1mrd?ZIgHj1&Ppddbs&yPGCxv8zitC1;d{dWWz~U~k7LqXwms<e)p-3qDx(3@
z3mZq>{!Wn^JpSmhG;OtY{yo&f=rVRv<^O$67(Vo)y~{Hd1O&U4DIh)I?Qf}OuhnIJ
zS67#&RO73Y)1N;Hahx0DSfnD-?mS6y5_YK<hhb*;6;#t!_LUfKq^Tzn`yS5X$aNVz
z5en_IH%S{S28^u^o|udFi2e#uu;pf;(7z@eXW@Ee(;4u0fsAJvAj7l(x0DOv&qApz
zrn|el{q@xq9}r~gWxL*F*00(3>$OFxXRIPH*f0Mmbp~=6xu=V2E;XKS2;djKYhqh{
z)4N5IA}MuV_#1nkl^|JPWbblm37NO|DsXN$!fv+{-v<%T4kEzf8GnumS3n#K27<JC
zzO=o1z7ee!K+Bzgf$f<NkfULY^4`&$Cb1zt9G~DKKCNhM8mghn_UTu>{DTH4kkYl>
z!xyCJujrzZ3mi?c+{fuAv0)Z=R86q&ecnfFo!D4r&1!f$$n5xK1e*dRQ*>1bG}R#s
z1uivy!Awm;9Tf;UM+an{7$hW@@FPCr{~={1r%Nz{_}DXYl4=HZ5l;lc@{D?agZMpd
z0vI@7^sPmK#rBe0rn)_Y@8CRg{QEqCwMgRW3)dz>Ld5db(NPmD#MNmmH~m~+@6RM@
zy?d9jZy2*H0csQ@771ZYyWkCMuyLik_%S1Ie*$G>o9f12LV@C>vQ@CdeHmRz6;0((
z-0)k0KFPh+1Y2oc_Ok8t;Z1hCOrrs`HJb~yW>^zle;D9-vN9G2h3()Q&{9dZ{ak<B
zbVIH?k-nAheuZr{?u?96O-5%~!)<L*z&VAbGvsK82kdtATys0N*gOaB&;yXTlB=Tu
zEL84ZfInQ7C{4Z>Rf$D|BEzWuQuUIjc3<Ot!v=cIr9NIhm!7)6jKWvOj07;K{)SzS
zFuB%gGJmR6-)=t5U=>64Pt>F=S#kj4sq(WLICvoReQSefOX&fM&;abojU75a0#F2h
z)-Z@*FZt8!D+!c$N?OGig*YI_8IFyUlW{M{V37O!s7|k2zO<~20L&3TU>%r9tZx1t
zf(#xs0DXZBz>GN42%_i#)&lBdn*0G406rk}dmZ?Ida0)!hXZV3Lq(2(UojBScs_*y
zm0;6woVMHx(Ijava@_L09L?C#j4d=go0PWccg|dDoJaY|*IZZBz{Q)Rw!CCna;)Fo
z>9a_5pL-BOF@M~|GHfeoo-3!YIn0eIpPKAr+?jP@EN24?sa8fIF0R^L8V1H}CXbFi
zX*9omnhG-8Lt><phQ*L!NSC0Nl6hiR6)R!pP5Q-$92-bOjB5~j7Cw{z=i*eDJ};dT
zDrEg_yw|3-clf{EObeBUS<P1J2S61wZ2U=T+Wjz*4A&2e_@%=z;@QT9Bntrmq-0lA
z(G6uBY?)nj_T)@E$XQniSzD`K=am%;E2lJ=c}<eMCqbHP3)H!|^l0;k;r+iB;Nhfk
z7ch2865R)v+(g0(DrA|d4GXI0+)&Ude8feCpB%lw+&KvlhwmvQZc_QAg>6zyOb@Nb
z;ARQ=t4Q@Wc3cKd6zGd1CJ2$h5GrESxlIwo8TdnB8q2MI{A#`V7)T1912lLVNJhC`
zu6XVEy<gV?PLSuDfcRT|Adq_M?fso`Kj-@ym?Qc#0Xd%8r03G#DHYXpW6|}!qX1dc
z<R5X~%{G4+Qj;Sx^q|p{TxV*dHyh6dzl?SG-F3w?E+SoY2e|#sZwGe{u@XQ&{g~b%
zWGfE#4A;U2g_IEV*;yp^gD-xV={3qX6HpxFE7#M+DChXemX%1ki0tIp5fQ}LOX<Q!
zA!IHF{Y;P0z)TU{ngXA5vlo5T1-y)J_EJsB%^l^SB0JenraPzKR5`vEIosU$w0I?~
z$>0AC+JbwyBL<}$)?~!z*?<}tXddVG9ojMwPgum_WzWqf8y#Dqqpwnbpj+Nlc=BpA
zRQ|cIa4aYmyG!@a&oR<?-8>R(?^n#1xCZ}Lmk)m9&~(HeIA1UT4P3kFb|;u0lU?tx
zmv2B1VuW{oIGDob+e%^o&U-(=@%TXk(1ALjC-0kr^bE>GL&#jTi3(*h9)}MG<b%Pw
z-)wcF4N!UjY4xN)l5~h;V#9yS<r_TQg9;1oOF8X08vwUPwSZ%)r4I=xRGjEE{wD~g
zUYGK~e1Y5l9#U^W@Wuz}_c~CE2{iD>h%jnJ`(Z={U@G+PXer#WFj~ahb-ArODP`}d
zQ0lA^>8lnPZl~RBy*pf>NoZ{juw=XGbR~0Z*r##5KhLzg_CW(|Zhc#nlu|5~Ihw@O
z!EWchLA?`zPOejg-upjmK@D@-N-+J67dtoO-`5rjRrJLYzW!l9j_D$xx}OQHVBm5+
z8@sx^0Z5YS%NWN8{{DUze@|~dXWDN1iL4EA;nsEZh7aM0lZ2D6n4?`Eyg<iQa_YZF
zKjW>eus~sm0YXzL6*~%eTeFV1b2pt9{&RRFe#t2#8mp(rx$5ygd`(Y4j@zu4U5%3g
zkZzd&1}Diz4;ttqeU0MBC=wsk4C()p?8s!I9p#T4ARbZHh}&>qo6L=ccQ;02bZUOQ
zDE|Ao3bMWQ%keR^9M3^`-`ZFH$kYb>bkHltlEUOC`C&#35i0}&)29GAj+i)553G`&
zNaO((FDn!g(YJvAI>-JW_!R;`jGjr5NS78rYW=J~C{Kwz*kH>;VLOTe!_Booiku!*
zgeI5E_qChv{{>&rHx-WA1*f|}tBrftOZi2Ib6f^&FW~Wez2VG1F1==%nO1&QP^8oD
zh21M}hUJHSy?xpYe{N4^E^dsj<GVxXlf0Ew2O9l~tE{B1wAWbA<}JtNOR5THndY{|
zCi_4+BW<}}p+dnO0TD7+iV7p2IlOzROQ*MM0+miP`5O>nYziykba1r(Thi~leNuxi
zMht*T=61tcwhSgT8t-Q;_wa9Gepgi5Demd{yzlFSRwL`IivFJIe8o_EPsB@K-SD}O
zbNC@V(fs>$2*@zqVRL5@*qSP5Ke+MlspPGN3cfkj{{saWJw$kx^Z7R!!Nop;b-(uA
zm;Mu3*~}5J=F{*z=Kpz~Oo!zhVG@aj$o0}$ACoNvddnJ9#ncAOJuZOT4<^W#kQmTF
z(+IM6-M;(996&DSx(}R|`9A|=DkP!TQR3ju&5Z#-bB^2KeVTQy=eZ}mw*9pE3ErdV
zGmdVcqjT5)^ih+~4#?%fI#6O*PU0N$Zt~h+@~IDKC{F?0NufzJMNExDw9{P(IjMJ<
z;EF4qS!t?Zmd3$fmIS5<+&i&*Cu_Dul}e@w_}n8BbZ4WUqcew3NJ=X7n7O5kTroR-
z{Kn+*lVmb2tOEd;U~uB%sV4`M=J@Z-251!hE-k*9vs)cLIxIPOcX=|KpZ_#M)L%WC
zK_uB)Xsaaz&ptsT-txQB;n`V7CG8W%trJcnxyQkEx!<>CYt&`<^)~$UJXl@JB@tG8
zU<CuiP$mV<vK^;<;(VM_d$#X31kSn`Yd*i+*?ZR-E-gHh+>~Bd%8S}VS20dab-B8g
zWRH(vCUaasHC)B9Y)iSP;)hOCm9nyt^HYf-ut@Kue$?+&4sa8&vp<3fO^CtgrXFZo
z{3fcP74uKs;M6taA^hGR*(;YPimIz)IBpy#xCGvA{f+Hy{Ii=IdEke>5@5s@L>9%|
z0-j=k3*4lZfiKi6OFUIq4-fy!?(S>?{|~3a!GHNMlJL5ROO%if`ymR!4da!YeVjhd
z5BZrls|?Cg<l?&f9doEX$pii<riBKZdNx8zEpC~RojwR4fRP#mBylAHU~3RN<X;O1
zLt>!h(qVE-Z<NdI)6MPr-MGW9CTs|4Y0O?ba~U7@XNAijF9>pg<{y1TlBa2Gg%ieS
z;Cyx0rQ!7S*lVSvEc0=Hv-|pY=hz>zBxCM_)(C9jGFkx9tvD0+8fNUCS(M{09ZigW
z7He@?yV=xig)m261@90c*I84cK%21t+G+I8>O&dLbe<x2Zp0t%Rs@62>xIljToyRD
zmF)GoPN%tN*R2gIVAlP4p3A6JZNZ};hf7%!Qg@t#;piy4Y>%9`?ZG$9%I1kC#$3In
zLY5FD8G9UeIrHD>YmG?0uGgWPR8XKDIQu9vbma2Co;Kg=DS#)46ec#uJx;H#7VYS_
zO*`45Wbms;ks81_B??LhETx^0CYaW{I}+fFvWJ`;o9!j3wc4*Bg9el}j%v=Y1gxW0
z0Wn3F6DZcb;ulLNg^tB^vVV>~hAHuU`BtVfVYR43iazA%vN(wG0(nJrot<=^Thiuf
z>ncUbz?gZyyO=S4LxyaMeWCyQ)aRCYXXV({jrMXSVm6;jwvlk8%CJv}?9en=78Pv!
z^71sp_UmU=F|;?YTG>l#gLvs}qOb%u=;{!v_W$go?uJ31oMxqF!Sz;3L4&(#XFqb6
zl$VJ$SN2YmgXMx471N&z_8ew`?-bzUhaf{oh5bNbGExm?CV4X;c{{IEDYq6WRMg!$
z)6{G-m4+V*CEMBQ^L<Y~xd&>@K>)<FuiM3P(8!!*7;he+H)%{A;7m8$lYWeSEq@Of
z2B_c=Uxp;q%u!GtDs!x){kEDK@b7VLhJLyw=t0O&=O10&or=-jiVyk>Hj1wi7m*^z
zOYr}sni;2u-MAqWQc*Nr_wyT~GF59NRT86h0}LF~T5NqT6q0gUt1NX^PofQ8{+*zr
znf+`bla^wJ_U+c^dH4zXjZ<bv#iB3){L@2dfA83wu=(C+X(bztyR0dy7swx&1PEtF
zZy|QDA-S@>ImZ30q?S%?gGW<xYQ1|e9r!(1?dUo0Cz+<L`}3C)OH>*%Q<$K0L7eOd
z$UQgU&Wk_uM1E|G=rG;8<GIAVgJP)unc(X4Qje29yXz7&f4qjebz&xxhX6Rl#3(f-
z3UDz&j#<co)8%T_XRV^y`aGGHy0VObdduT~_c>u2%R_IC6v7(xd6e_%<_75Y{YeUY
zaQO_EG_D(^I1Y3PXcqh706Hvbpo%^4I~6Vlv-A9E#Q#<+{0V-Z1h)%HT)g0jrtRG2
z7Z1`bPGdL5A~%9)(!BRHcX_Tu?sVf*R9gccNrhL5wg5FUtL4v;Vu&4n$auZq(7RK!
zaC{E__+ps){C2-9n^^$UwsmURx~@T`x`=Vr>hjs9_`_Uo+TB*~C#~6SwcyS1d$Dje
z;_#c5%D$NnQ<NgqT_iTfwX(MsB=!|w$^FUwZX*2Yxk-2)7;sK!(LusVpBo<U-*vhH
zk)`0dnSo>}r{=~+lEb=}P)1k2_Zj>AYFs`TLZd3*&rK$(8^c>o{?>EBnLB}+$l5VM
zCiu8mkSZ#LPykQ?MxZ$2z10GNp!L1imjJ+ZXoDxo&g_8_K%GiHF(=h{Uf9~QZL^R(
zT<>R{L`YP3wf=2CYJh;>6w+fg1`2TguKZU2b}u@RAp$|p@Sy+&%dz&rFe}}MwMjqx
z;&ouc>;Jn`tNlk*YF`^0N)0H_wWMK5PR@7Y4WBd_M(F>yMOVnKqz0A~Ge7#O)rP14
zSFu%+!SV_*?)KN4_Ajr)(wF@FUkIt-f3f+Kebs}FWvX0eA~PDGX;!|<1&M5>-~8b^
z_KU1y-{z8k*UDZ=Eq+F9Ve-w)%8TmPG1N(_LeDvaZ0GaD=}|2GjUD#A+5itbuz)We
zbLKRcN_vF9hgze4Xn$Y*_BkdQ&!E%0By`hTZL`d3=!rsw^PW+hs5+5jLpL=+f}9{v
z7zoEMw%#*~`MCjHrI>Tz&jn=C)?#<@M4H9_MQ~xjCSc(5aYIr#5A$vkAS48~*Kl@5
zmO|`F2^xgE*zqBZ?q$TQVW-5v#d+f(5D!;|qa)cc=7exAsQ<~Bc&XaKhyXD>C<<d0
zD)yi&mtNsNk(5_N{4{WpTuEr4?=;*Suj5{s@9TxnV4r=qii;*PsK`b_X_>73JAlna
ziOx-gcpVlnogpF(NVs~G2McJ@bwaAssy8wR-yo)ERUbRK0qga+=Kpg~#@wdF2RP>&
zo}bFY#+puGTB7Yu{7zYXvGHr5_n#@V`zGZnSN@s7U66^!-erB;UI-eNi8{>UIu&FU
zO9&R=vr;caRM6b*j8#+_$uvnFtFW)D@3zaKkz;HE({zJ|ZxJ&f%mU>f!7Rr0n^Qh2
zEC);Gc};KDrt!`?rNC0k@COuvSZn(#Yi5H?3?Nvv&=uNK`cp2km6(<sJ2j{RyKc?-
zPCKe3Ll|MpdJg~WHO#{D?(F7Ml2K^<jiu9W*ml@$^x0+Tr7@aX5l)^klKGl7nAv*G
z-X^wgpO5B!LK?*cF8UEBZgRpZt3E8djZb}a(BWX<lgRvX;J^q5mp*7!enpD=Jdv+3
z&@z!7Gf@n!kJ?TM)GDmc3$<EF<;+kAb7uLfSAvO9k^5_?f$O&zMjVo0i-mvv=nJ-N
zXEpy?vz866JH7-yY8O-W5}II%5tI@MH#orafd}o*r_s~d4rM@)f%+j~!yMSDhxb8z
z+A+GInZ~%2+gzjYu>CNnD#6-`X70?itfwFDFqVAN&3)#JVi#P~Z~Ph@?<*AKu(){n
zrFi!kkYwuUS-0Nf7I}`)8YMjV-<I{az)Vzpcdvk{mPtJ=09ONeBSJTJIqi3}DVce&
z_@~&5wNkcb*wdu0alfVrp|P%U@o=0s_;Xjva$?Y?t?TAFF+R^><P53Q&qDx)lSfWz
z_wrItUJ~I<x{#wKxLbF{<sW$a8(8*muG&J8hNY8pGO~;Qd0Lnn3-Po}5)*Tnmw_av
zX6J1mnxXtgF;VOS@oT$c5;6mZiS37P?ZZn|%n8OnqI3DY+%peXOYTt=>agE0yI0(J
z*xE?g*|DoRJZuOYm4w>~{hin^#&BYuSpZ9`qk2`uz^c6gOU(%AsIUu{aN)y;3i#c`
zz$PYs#|A)}Uq-N-#pSBNKyuLjPq5Jc<X$gfGKkF&rKv(dLkp9ThO<&lH?LIYw46mg
zT;WlKi^^&v6Gg~L_%wlHkF?Z?ivz>hhqskTD`L>OG&E?#y1SL*+9F@8PuaX@bK>G=
z63xURI8^|+@qR66qh=y$d+WQ27CS7<fbXF(WoO_0dd<DS4cI+wY)O!l<f2YV&5F@_
zG}(v0M~rXfd;ptCC0B&y)>OD>bTkxJkILYUf>Mk=Ib(EsbIq@EoNeeOb}S+ifGn8l
zgLk|-q87DpBAcAY`zZ`nZ_42bTjCV;%S&EZuxj{yaBkOdGYr5)MO~zn=hN&l?E;Bt
zqcpG6@0;xyv$28l!lys}C*-3C4h}puBNQ?`m<;tjyxM?CL6MD&3G}5`$&6^uf)@7w
zWN@F79u@iYY;ZZU1d;0!jjXr``e!hV8-ZN)phLd}SiRJ^<|RP_BKpXjHs+ue3QdZi
zbWTBo9F!fEzqPDy*FEm`64BpGn#e9w$%fg71+;_>8@leCVfgQ#Hai)626_`j7p5oK
z!`vkm@||e*Du^efSy_CLTiEY*o-=KjTKh=6^9<pJWA_Rz@@*28!!t&putECuj=hg8
zN-V{_(H1f7PJRP>60WBy3;dAYZMQ(JUN`@HygY_{+AtAm4wu(cG$7%~MXI=sS9nVq
zjk(P(fUVeZEsqodq{np>jxL9>4;=lO@8u=*#6({U`D6}-$Yqv#?_Q?*L{8kuJd38n
zY6V07h2ZqV0R9v00l1Prf4640^KUIbraa-(!h93XzDmYF<uM^SP{1lTIDCAq<h4Ev
zSVvf^oENh!fOS0Xgb%NT6McV<(!(p&8Ij1@R58T=V&PHX);bbJSEfQ1Ne%FsAfUm<
z!E55`y`YKy+uW^QSlFVt1V7*ylP|%oxgVweK{t6hNPZ2U=mg!3_z(f*@hAn!B#OSo
z0_w*snVz*~q-`}lb!*H2>}9$PYoRrgNp7TF+*zHV6#jRJK<tn?9C=%Js)ye$L(Ai&
zsPa)|2&{woPJ+ZUe9)Q$hiZ04OdhUElwYnn=I6X&1t-dA#s{4)XEnB2BHcp3Trl~`
zndUtyGPdU<!jBNx`6|f`Yg@Py3b)xva4J88NaS>VzMtm0>$QGu)gH<!7?0)uq<%PP
zRc5S^0@q`Vr@>uXjczAPZGXQYJRstMK$A4$Ol_8%>vV=zqb}vDYA(+wV;Hj*7ER-Y
zWl;%{D8l}D;3_lu&#IsyR66%2ry`d{QloWcS7*G~NE)_|rgfC^_J4}UQIiF$zos?`
zri#!;!1@nS2Ih*K8PHVvB8zr#j?&c3hFc`;xd1Eq_IW9{D<shZkCkYAq5$rsB(77?
z!-R|I`&ee+c|2F=fBXk|v-709-1zMUrsrV{`D4G+-*S9LLPlOp!&NSbj9DsX|JDJ2
zuqG2V#6%uTrJz(K5|&%6&ImIXU1}&1l`<VLW^pe+7in$;i7KCe%?L*pZI?|WeM9T;
zxV58S{VWFA8cv1MF@5eLr&^=-{?8aTCfWL$zZr!zA+i`a^}b6Hvn@tBnyXA%kXIU*
ziB+4JoaqsFWuRUsb*t@!;+u>nCQmuQ*6YUt5OI46@<vw7^Z?Jht0xpN-^_DCPz)*}
z4n!s*^C>icCd5uaJJ2m*b27#VM!+tLiSWW-c|P6c+xjsQ6N4EPk&tyX4v)!pC}!|2
zNdTxrXS31xPUuvw%kSzWru18A*-6QABZ_qLi7x&bn0|*dp`@2|nhwD)8ALs<4=IgV
zlAYsx?$^&Pv&e&i3@M^yVyV~|`(_klG?lx0dU4wLFHv%hROmnP0sX_v`q!>(VaZms
z&ZSaDX4tp)D?6-4vSeC=x$xTD^T6#l;-d9b`S+=8{h}gMiTpI*+!>^NwHu|oa6<*^
zoirey<@wnsObL)ps%5|XLXS`$WUME5bJmHw7Z3UETu;OlK*o#e+*csdO~BauRaQzx
zp%UbdD>{`I+^b+-MwSgf5Vx-eQ|x!}L5#4cI2f5fq#8n75(3AVZpkEFbhT&!$q0_5
zo?+oJiFKBlmY5h6o!)MO<cYB_qG#f=SkxzL{NpZx<EV>XhwpjUbrH!p;OM{Tc_TcK
zAoZo=tF(r(sc4>WOyEHTD=D>0PCw}|QA0Bg2dP=|(o0k@Jd^Oo-e98JX~$cZjE!3*
z!_+;BC0!k##U|$1l^NnB(wIGP(CT_qV1sw(a}8q>Iw+-UrRL8Kc8|E1NUolh9a*zv
z>hVk~g~hk}$Kc|SlP<2hzUW&3+Nv?g8b0x|D?4WgYo{q)p?3H=?}hb5zGZ<v%f>6h
zn&b=@$>ew5r=;KxC)$Xp|Aw7abt~&sC_)WQCCGPds!8<S#-+o0TO{Ps%Ro!A5l%^n
z4|CuTwjRci#%7B-Yp?u4!@CeYUXlfuoG}uTVc<Y_JmQNMcq-$Ackbl0$v^`MG`vgB
zGp_Re@&R308w}TnA7k8Op7ngai^bfNMw=>btbUb-ofvWt=mR-;w6a|ky6I_2AXs%0
znBTbG9O-2W7v^I2x?*VfjXo)zzWBlC9AGrAAi73ZLTn(NLm#Gpb#oAF^Cks{qm3!&
zhOLhbk;j`XIxroLM9s3AFgYH*7G86Wf#WXAtM2M0g&Y^m%u1R85JDQ|dK)1p_PTCG
z#prsn?ftyHc!1Kg52Dl6m6z06dAGA`AgEmTRcpR;ksshyRYbK-99q2<@<i0J(W+A|
z({IDW#ygUF`T&_^jFu@S{iqY+46^qmd-^kLR{#VSr+D6zp?O{J&`yhE>uABe8ObiH
zh)724j)IAWN_1nWxx_^Vn)>LhWbshaL-I0-Ir2!$?P+QMedpryt?Jf}R=d|~v)y55
z>6#`;4Lnd$2kptOjPlhkT26vj4EiWTs(Zi2;PXDzR}zMx{~5tmj;YissfMu$BiRN5
zs@_2?B<(FKqA@jo)KCgX#khp|jvH&}F#&6_#%?RHXfWpQsMiFaUk*sX(PLkcASWA9
zqV)*X++<#ZOF8r9SoLOcI!FBQ3$qt(*>akd75T~b_^l)3iHIeQ{mznJ&r{!Ze$Nx7
z0)%RL{&pV*!Nds{@xY)UsA2Hg!wuMYng2oGi4WJf1$TKrl%$Yt77Vhw;GJXI8NXtN
z?;AbHJ!G)3J<mx;Bola-N2b;f<ppS(&`c{4Z!`cDcyLy$_RVcCq>#CN+*7N1?Pk+x
zmhUKt&;njWl=5A3Hs>b=#4}hy2nt>g^avOM+PS3rARNT{?s4^sqFRwV2iM3wtFriv
zU1O6;(Y3=gMiw&*&#Ki=wGO9OS5a19z{s+Oet=j0+aT*FSg_gOD(C4X;S$(chZ^SA
zMuV_vIhQu%Jme0i<#oO53+$hD_MGNMCoX}BbT&N5K`wN$%RMcs_p3ZBPg0maj>#zB
z;oT8kKH9Y675@5|A^Fk+<8BW06HCrc0k74;8nbmnOs+MDi+9eW{LcwyUfk<MraOv+
z0QenDU?+OP-MD{O&~i1-WvBcLA0{+sY6DCW?buCR2_fs7mVv>qtB}~<*byGv3M7lW
zmskdzNYhOu=P}#434NeTIM{^>83Cua?i@2=x4Orv*vdPJccq<`eB?^vapJ~RL20Q5
zMybuxLUIj@hGa5)khCiLWcj+pG+9(cY^axqU3`;HB?s<EhOJ^03E3K1O1cq_g@Tg9
zLB-t~aCs8Fj&fB2cg4XjZNBDoEBQCu!Opd&0GGD(L~&=bdS>n@cSprc`+MRCg@%M3
z=ShTK;=s=PO(iJc?wv0~%R!|%Y^#%2rg?Gmx6J(?WxXiz*j6GEQ*#M3d=il)QE=_@
zYR_K;)z19Chs-V#G^Xc}1Boti_Mj1VeuN>`(^=iRDfxZv3U|zINvIk^GhuW>z4+eK
zz+PQup^!3V`pFMm3sWIRZUDu8?oDm*`H-hAz)5f#A)$V~-3Xd|e*;0(za;0Pd}tUO
zD<~Fs9V2%hhD;;XqKME32*ze5`H1)1E@Z*?1s=x*r#qBn+3}H<NUgEi8M%8`)pRRl
z(;2tpy67>E6!Za3CJA4|jnPOb<%NVNBA~Fm?(XOb;l``DU5qWx8ftb*YB?{|YsRJy
z4QLeO^Qh2}>cJ#CmX`mZ{bB_(P;FO`ZZeR?Z*rvnm&^R`=j-CK?53cdWHg%c9=zn;
zSord@osNuX-%gj43Ee5zdcO?-i3L3xc{J!Uwid=oGCW#9`*Pt4;vG~5#cBwi(huJ-
z#RRSN4mVA}XuQgAC>@*_zpc1;p^Kc$6Ey--OtfgaDuzvR3~Xvw{-xb#CB!BrK!S`B
z-L%A5`ku>FEJnfmbpazWU#n&#_zg-wUSq5^T05Ht#@RkbXO^wjqiAXc;}{2Vq#^3u
zEnM^7X}FN~U-t#W9?md*1-i#RPt3I90o$DTPxg*m*0GWj2t5#4rGR96)8TT}enf(N
z+l1ABtT8dpvRN^Shtb*AtxS7SzaX*YJrKo1wY1R98Y_`htta>QexEC;6L()JqXIn?
zFW1SyZtUK0*mEdT8I_WWmcM_0^)WXVT$k3T{{Z){@t1?8<ypF9JOTdGuTxznW<~Bc
z0B*fO2=A(!v2v!Gyan0?YgaLG%-CVhWyC`9wF-E2c@<TxIl1(#R%>`qQm!OFJxN4n
zXa4jZSE&(?oJQ&=!HMoh=eH&C-qChEjcv(c(A3YLV?b8pf5Mg@O%j_Z#9HiM$RWt!
zG!G?@Zxf{V8THq^JrgW~m<zJP5>=u7>fL$Kw`%oA=exl+^?A`zFoR`RMHlQ~=x5{F
z&7JQ&#`8;>k1;#l4g_qZ5{Zq{W}yk#Mz2des+ictJ6k<7C?-<U(jqpGSgM%EhF2MU
zx=WR2_QA|SyEY1_Ggw5MnmGFWo+B~>{Gii0%pfY+u}WxBWS`|Gl*y{UxgnYVH;ULg
zk{@ZVna&OF)I+9}G^hEMJq;EZx4NGr6*4Lsyx`owlI6!xA5LXQ{%Li0d4>^Ja<}r0
zq+18f2X?ZX@rgkwth|Ws%Yn^uUvqmtL`H91u-z<~l+VGq{FK&UTCxpk_EAr^mSOU<
zCD!Nm)TE_@DdSpaV0JKO|4$_I`@>fC!~%DvyzF;TeU-mM-(}eDM!az-9-p0;F$yVj
zXuwc9Z!GzFnn63V3t)hIge(;Aao_(1e<X+0lXm<FUIBMi__OP`hAVbY*|>bZRmL_)
zpQ&!>Wq}(2VA25&sH&=ovp67-^vaq{gS2GkqLvx7X!#qkx!jM4&!Zgt#0w{qzbSKL
z6?mjpeY<VGch7>O)e)MpV{eLlok|e3DNUXL2q+|mi%d(EW<Q`8XRI5$ubOQ70d9=1
z6!nkm|Fr<L`npWywq%P_>F$~fd;}o<oaTTE{kD4Q31Jg)WCpu<!HJ0vDcjuQHv#4j
zTTFI|%GawG#p2a?U;c9BtzYFz{1+ee?0?UefCd|i-|)Z_Z&80HHZ#<l<t@Uylojx;
zO3|z8S+bp2lw!m8C1qoh{bC<>v-nvjECXj^JuuIOFV4iq*Dq^|*sW`C@XZqN3!ure
z%<a4;XOt)eN@&`{$mJO+Wq>v6u0~u$rsilCqlKoz>VCc9Ry|XR1JD>@mE=!K`h)|h
z&)T-w4U@s)sAoZm2YcD&E2@VG_O=lE`hv~oDTs02E9nhF^{L&LeQm{Y5M@>E|5D=@
z5AG~gQE(fs=U;oLir{%B;NmGg&hl~fE$&@xUZkk<4@X*{=&}6AW%?tjp~j1^@8@>d
zh6uoMs<gQ^mJv(U)H%WPq4M?3hXa;^QX!A|#BeZ`emO0VcuVj}UpEhPdk-FY3_!uD
zZnE1qydn=XNGn^xFg;rBKsajnM+<@C;QQ&O+rr)2q#H?!f>UeJpGGchE31ev<=DK4
zjuW-M51oNX9<OdokwBWI1Ze4GLoa`aY?+IJI_FR#HbPQP?h#=enFlHq5AZG&nD(BF
zSOjtF@o!@Jxlw6GCBR_^TgjMZm(oFC6#mP)eo0NkhKi=u*7q*;1$ML7jcUJN<EaA=
zH4wnIIcYn1o8u42bUV)HsMFb6?kdlY6)uBzTJJwqRJhz(MYs)?)aRq%%@TKd*<Qqq
zBr(NGZegB92;l?ix1Ye0-9B&r#6gTtcak=LiktaMz7N<WpP5aap_Y%gQ;_EY3-GG-
zKEVf7=}Ci>j(UmXIwc}OTBNPIDWB)$dMRbkZqsuk@flbNsJX#)e;+3`=tqD4*hJXp
zCX%Br+^rUir~VaVvhzU!3whh`chsZ}u<U$`CQ{@b5RPFovxR=b=MKwDwy>?I2PJfl
z+e@we?K<i5?!(*nK9c{KH!e#wP+i~qX$CEdU%1|`A34z`;iS10`B!${`#nBDkr;XZ
z#tl;>5n6%Yq0#`?9uXnP(_h-zF(nC}T@n-;YB1GMX27>3|BLb{?S|qPK0#TFb8E_2
zl(L(@7C@8Tg64_9bF=ZMxD$fD|1%jvzt3++gVxbbgx(sa`cl*>J+6j>m(ej4Zj<Xr
zqqQmYx~B}O<S6Iob!JjwKM5KPcCC+vHlTDlcy)(6j55y)IzZ``l!WY^k89B(I|2@a
zRFh`M-J6R$C%52MT_+{@HQD+PCs)YoPUEWo){VTspexoR!mSnD=R!S3Gh{#wmeO#y
zyD$V&vaA5Gn*il$0A&KicxBu;Y^t6ZGG!FncwFetO(8VGHR8ZsV(>F^L9w3|6A7}G
zIaf05G!|JMf}BQaq^+f_(VJj-lKX(ws~F@itUv?sY%_^}PL<Iv{@t%c7BR{b3o9Zq
zp^@pX)5JfOnXnR__iy#C@7{5tZ*_Rdw)_G683rJb1gp2xjqT_a5X!;&(8rE0)A9;X
zN%~yqkzUSNRE%5)C7=l9T7}i;rk*_WdUk!tbtL}V)#VXb2>pXg%~mb(DB0<A$TA^q
zBnHM`dmui4r+KCAyC+gj(biO>dsAnD4?!RD0-4ve9O93nI?{b4))>ZT87guQbPRwG
zjYA6B-y;rx=GULbBJZK^H$D~&_GR-cfu+SFLBhLGcnR{?%nVKaCBDLzfj{dEF8j5I
zl;A(yqJ%Fg?+k<o4ZhzNzUnh{yiIYl+!5k=&guK#4*RjjT_9G)xtxqyaO))4LGgT=
z$7wxk9KJX3)2+s_KpcAC>uhABym4b97Lq^Da+JgIBq1}ArS%;mHIgvOo?mWIbLZxy
z#3jj`CnJN~7X}BM<|GQ~mjJxMfnSzfKH&!70Jl*u%W7)&l8C4TIwt3&@yxvcq3fIC
z<8GrrC$??dcG9p(V>GsH+qTo#c4KFP#*J;;Mt9!*?|$}b=W^y|emHv07yT3~{aAYe
z!d^!gzMEv_dngknU{9)#5D{t6<HQFUbT4=SY5AvOds{NZJ`PzI@OIwP9+xU1Gm-z|
z9u>#(kNi$Z^g;iPN<$Re0;c&PlclReMKjRxMDtMuA;~*4H!paCpE?+g!xYYZ#OMRs
zFbSiF?dj>LaroudqP~q}`hia!vVLjC2=9jf?_0;MR-9TN)9=Ei297co`zlfGWQJb=
zB=2$hPh!sULiGO*0<-AmmTV#2!;BbPfKykCUDVC0zyT$Ncws=MlEIOuewfz;YhSbd
zarag7D(yHn4RR%K@>jy{y%dO@{f>Bz0CBxktD^|ug#zTb=%jndBv*mXOx;E9{!m<J
z-G(qUGIe+5i}3#J^K+)X2A|H(*mA6)ANH1@$dytYA=Xen(Oi+z^D)tz9gE!g?XUCf
zBiz$VKmKT4PU!y{G%5lHaHD#KHueg>4<8r^R?uR2%X|CKnHMb29J^%7wcEi=BVApL
zYsPzy=2IqMq!<jd!?-z&%fMetJuu(!Jmx~ETHHe$)>8jBmc{XT`u6N>b?@ovcMJ7T
zfIbE754ef6q$s!b4-=oWo~GEfWJ>|5$(`C>?_osIdRlmndDhY<P3h#C0E5ZCu59d9
zJ{6Hj$HiEw$+~(88AKzAfA$C*G3fuj!;p-|J8nfYPC=R7zNDd;!^_%2(2HSw{wg<p
zMea1y4?6K^%_?UVyk4!_iNIg^`B5V>SV!GUP5@GwxwxaRw-aq})&LbG=6r5AFE2cU
zc1tS;=jJ)cHD12DeXCRD!z385=*?e#%mY3Oe)GDTv5_}>R}kss$<fn3NAq-BzhHrp
zM?6aff-D%hY;z=2q*A2NWF2p2L>RZLKV^5*%tk9%hNsV=T|%2Y4f>pwV-7R%WWH|R
zm}C%L@T+Q&&bqp5On|j{@j3+WZ{h4sswuO4!`26g&M?=E02%cBfA0(qzUrUZ?L9#r
zlbM8&;KD*Mb?>nHq){A4V1Y`s^!VATo-I!jFZWj(BFy|5`Syx!sXIIJq|B&D!}}N&
zB-hiHrr|@d^Jnz+%{MdAWti2XrajT4nnz2K@{I8SvROA>W;pBWc&9_QBNIZFg9c)V
z*>^(wICvgTSL@(I#}-`|Wg9F6>ZrJXby|pWO4}%(Op9ruR(Dl$VfBy8j-Qta_PG|z
ztR2r`c9h1n(aIY-lF^kn>+%S(T$X1by~X#b83o`JgT<)rsDdXr8v$r#2?KeJV-$-q
z%K{eY!d&A@!pDOFz?9VebLbo75?`ZsY?&brli)jp8U=s!Cjyt4=k2+wLw#7XSQd9!
zY^3icBYPODk6el8F4L+L9oQz~geBNyY9)&d9%s1Wh2k#B(4N49`&eX`kju+~1UOQN
zrMH#ne`7e>OUG&^G#?MK&(HT)<tF$QhStpt2~|FR@D%NMk(-D6{bykkdJu$V7VA<$
zix1_PN^Z;Z%NY0PbK=E)QK`)S5lje&s0aWP4sq1nlj^)D;OTAn<+X1Ev$-BGmQCE+
zBMkw<Me0Wrt03jlyW=O+l+!dbVzZ%1_$;B}-VPKMxhDoL9xWj`GXi3_nc0&<+B5?7
zdLG8E?Z2JXprArqkedV=x%M{hkmM5Yv1$B+W|JfQFZ^l|8hnAJFV4amz<#t#Qbrzl
zJ)@DREKy$fb#c3A{H;DPp837;7q#SN7U4%sJZ1MWEY~5_#MCw&h1kq3h6qO+)lS#h
zTUq_e)X(jt!P1gHd8Va_ZqUbsIRf*6W3hx3AbI9Zjar<aA$|L6VU`t5*dg=x($z`Q
zcw>7zc`^L5(7o@s)mLVd_cb%erxi_f=GYVMW3Xc9$zL7FkRgL4`u?KSM|yulCz!LM
zj*jR9VNI!l?f{rquIiq;Y`Zfyo;l^TBlDH3Ta)|Z8F6JP<rldfaR7Ek&@y9oClnjB
z)Bz?Di5-Cnf7q+mjb};bh%zvfc`7L@s3d7NzRNdVwQ8h&4ui#>jsMYD@+N+21|H`(
zfq7~zf%wboG#V@~riFX(Tkbm~+C*XE?dyUDR&h@m<HcY1*See;Q@AeU#-hE>VXf14
zH>a+Kr$pG-tVTDWrlah#^W8#LXb?{j3epw}wEq90R0f5&*l+Tq1Y#w%its0>Hj~mY
zL21mOnkJkjreU+v<@(CMkh}{EhLb5Srued9p3XvQeKm}NwoREFi`vU0GKx+qdG%r}
z1d-e#;Ja0lwbC96KKLpSb`p86ew3y9xU)Wa^C~H!Gvb(q*5SDxtG+@)8xrV|c@$u@
zlWbB+paNW%wHQiS4+A2&kpj%9yj&*z9-$VQFEb;}rUtzwoyeFKT5uEP!Xc9G9HhMT
z%WgzRqUmvw<sks3L(+XIgf9YMfDP>unjpxFhU1;tL(po+ezhYdf+rHx@-r%ZJDU7u
zDxlyNHLHLnJKNsiCg$vC6?B7Bp}{U$nJr<;`2pfJls+MS?|rNmq4Nf+Fq)o43+iw1
zg9#_tN{8j@k(8E^p=wtFr3T<#)~NZa&)&HFZ(~Q&D;Hbgz8@pHwUlNp>s#qIjgj4G
zO7IlW-^C({;3E*yPRV%q0tlxuks4!(@bKtp>5v7OFP{b)snolwwkmV5iUB7$_8qVs
z)XRpu4^gDxtEIRoNObYR%c+ffgUa`1C(jDZYTq6|ZZXao60?%f^9w`TNkVnN&Rx)v
zFznHVTy__{*M<Bm<HdjF^iG06O(8HLx7}=Sf$^S>k7muRyqL}kS<$5Ff_ln%31RoY
zW_QRfzlE*CZZVYe6g3WN_p@O~H_wxDIQOWxEv4=yt25|j;~ljyt3zI2y#1)j-j0^R
z8jiob*rA3sU);csWtbNDm%hbYxE0-D$!RFx`#y`KZuH|P+z8fTymiup3lf^VxQp3K
zSH2dD+*YGuyTVQK9-(yA)uA&il~#A(|K^we;~ZQ`rjmu{7ZAud0C7R4!w_(^H^e}T
zW*@YE2S6$_=*!mE4*`%&B@+OyU!$|D%V+vElt?Kt3BP%2lgA(wIw)eo$tj`mqT;lm
z5pkdx?(v6x#>o=4EEC;m@0IjB#Xc^tQ$(9p4)3}FnPd&Jm_^GpM{Qs5)*q+C@zp<5
zt=?3*@K+T#d?m7@_l%Pb9D|UMqSdju*ot+-AkqhGAtU1uvd&ln#1>jv^m!86&HfvL
zD<&4jUjYs~-Y%(Vy0oP~>_QLD39EmTQV*bLMQ0Pg5$^ns>tFVA_Nj*iG~9e`^EMhw
z07q2xqXNxT&sh~57;CTZzyrUR|1E{CnbndQxjp>KI|Vo&x8kZE^bq5ng7q<36dK@!
zsV3*fN127SjsP3j7DlqLO^8xmr}J3s+Fyi}sXv4nI#@%1d9==^QeX0l3i!R8qWxh^
z7&$IgQ3Cw1n8O`Q+rty<YytKdDn!xM2j*IbY@Y&;{l^Xxyl(5S3LG5C%6h3Glwd;G
zfbO?5vhOi6d2wW~<507<j8V2v-{!?Zsp#d;H?QBkjjvt~n(R|M4N!qO8?KYT(AEK_
zBijZmJd#(M+r%EDkit3AApZ>s0xr}-5nNa7c5+7yysYeO;*7jf6!Zoo>)Aviig(pe
z(1xMiOc~~fODLlWb|_~2ppk?Ezw*(^tg?V0JyM(T+lS1eCCL%jG!7-Iw#|@2Pk}t8
zYt!<+K8RF~IKZa={#9tG3&ewP+9>W8Bw5xYax(4m#b&G+`nUgsH0YU5ipA7EG?DTY
zAMlvt;whLn0kGw6gM$vy7;F0AJ^pAs1d+}11ikJ8L_nk&MlLQly5kQ~fXL(f=OE_P
zJsb{ZcLlmc8sO<1b3hWZe*6{V{;W8Hb|$f_dfK*Ph@qZ<VVwUl&H`l~!5mmxxdXq<
zO(>~MSWJ6a=P@6w{$W2;o&KZ%wV;L=5waYYbNU=T+QKo7X%QAeG=g)y+W~Qn+Z&;2
zH4Y4;O|xpx<gVMe>HcoKW0!L>jUlvV`1Z$e-XrJNuh{YNqCt(XU`X^x1jUcj4js++
zH{)qG;y{}^P60%kpAA)_Z(IOr=ik@Aks0dgf)Mu^3XqjKziP6O+U?VYenvZHHOo>^
z3ELh<b!hI-a7p++6G!+-Qr0ChtD3!dmvqG|ETGuO(PrV%NjDXC-;T4tO)hi#DKagV
zYA?D7=ytUubs$f_i#t5Q^V#eNEi=H)7cj~Fl_>D+#Z&mA?86~WU@RH>rESJ3!J5e0
zM85=u(!KhQ<>-y}%{O!k&X+bRJL^Dm!Si=NVYJ&>QhrkOIIgS7uM`&KnGAiAKT}Rv
z(t?a9bf-C}ESuA>Vya;b1cCqy=9>U$xk`G`W_i?zB3d!~)dus!^dck5W&sb}$oYPo
ze%57h0(T(@WJ00%jO{BCz8Zx8rT|nB_DiqR^;B#`)8nAH%nT&kNC9F7!UIs1&p}A;
ze6D9C=#aitvsY>Wgv0~G?2CZ=1@6h&nRWxn7orp(++nj^M^sr^Ne1YHVC@2-jr(r$
zloJS0p9x2>j&~1v5@2zj&jxiTt#D&9wgu04rMyYuc)dUJ`G+YOs8)?_U4PjLJ{LLA
zuYGJN0YdwC(-vU2a1Dxq8%K&&t%NSBle7%OTLYFBv9(O&lJ44o%>bX-*7^#1UKrA@
zQk=g8%^l*s*RY21O2lJSlUX1*X!!K^hbCC);qR<rzrWr68LLKr`Mdkblkgj@!tQtL
z_%5%a`OL3&M1ZN@P?7Ykg{j;+<%mU0nI5Bb$O5oCAykZP-I&{*(KCpW#CSo|<#0$~
z8FgwGgp&QZNcxBAfhzb+DULR^TN_~CdQ}xnC`aHxB6`)jqeQxzkf7iE%~K(rs<u52
zzImT}Gc5STbOQ=Ng^7Q>(vL)YG0r1iTKM-@n9eX6q0=>1MwktX?e>>QT_-GwUo1-+
zuBd1*KP{LC?NliHFD~(mZ;lyY9$KRk8YX6tACVUS7OrWbz_;d}5k}f$QHhy1YJk@`
zD|jA3j*yRXL`<ph(|nl|&u6~YRKu%Q(zoxR6dzrfcz-9%%NaaJdi*!*<C!O6uYb1~
z0@x!44%fZSS_Qo|N)qrP)87l<fbl;ZiRzz|p&%?d)HjcVzJMRJY}nt>elf&=WHD)!
zZH_*~f1^sd1-U@2gg1eI>|Yj36G%nRII`tb82P2Ddg)V7BO?zJZX-Q}w+C+XFpBeN
z@R}yz4>0i7=j-H{B&fYE6EMZNNls8kk%<UF$(!sS_e68iq|q$hP|hTo8le$?->G2j
z<Dn>o_O1V*!UGf861Kl~Os71}AIM7Ue+Lbzt<Q!m0MgZKaqDOjs^JdL*EAj}!6)f-
zF27Fen812>F{^<JiK<NbR?)Eavt#%0z;l7}-C>V-{<;AB9M5BXI+;B&2@J^L5x_06
z&&`Pwh-WJ`jpC5i=n{KMRND;oqmFpPjJ0K!)NZJ|l|S{s3_m`LVnqr_CyXCX-$ubI
zMe4YWBj|kKX`_FD=Sh^87LD15BMX(&<-UE2HBT_xb3c5e6)$l+1F2hBSTWhbzDpYv
zDU~{0`rXAW%En*$^6g*EZn_ib*pb7%7}A&=6JC;?F7{edS>1b5%pHGvpP{9wMfBb0
zU($ZOo!*Q=;I6bH(xX}CtohUz`~JhKFlB^bM7UEFB)X@;UJnY-D}Wqi@Hq%#UhmJj
zTU<A$phJW*H0TRd;~lc8#7be{!#EJatJvEwBrfxnPP2)z=Q%xsZ&)n58;8Y^gPYUl
zgplKKVeBGM<1DWnRbAhTIe3D==!SeG4ZG04A;2nX9P3=q?*D)wvwjXmgWnxx5^Upl
zh`tQ#igUi>-BU|_>J>@14(;Uz>Rha0rRAnT2<xt_2DL6ZRaCNLyH?VTi%RCak4p1m
z3UzYH|MvfhbyPsgfzP+P#_F#5T5Ap^fU9!B=V^zX7k-BRCpmQEx21K3#AJVmNa2Fs
z;fYJs1tuHGWwO<h5Cp1&iC;M9#BAJ-9#7xmBd$GFWiX)+Fl4nIVa4nomKJW0buw0}
zs$<<R9amgi+j$b+pCCgHI6^hg8gR#Z8NuAK!dIpq6+um45@4?lP-URtL`jX@k?$vB
zp9gmpHkCDQIJ8K>0SowGlY48~g)lys2jMxLV0r#DzG`J2&UxMFn_**{^IJ59N-5!o
zc2uaEjHDjnzd#OeP4c=`k!*L_$&iEic_>Ke+`%q^J4%+C%#6yC<DR=oRBG6<v8rsu
zmcEfr7hGCSu-dn<;^t7*v<zQ}PX$GRmC*X4kr|3}<(Q*9trnr-Vl={rhMw067vy_2
zlnhA6DX#|?{iFa26jKm9D0g8HOMKuZB*uJcwH&q2Vh7N?qymB|lQlIze-Ahj#JBpD
zj{T+gpW;TgW*kTyK$ALhLqNljc}e24v-Ol?xrLXrB_gXxR5|oqz|i1C@=3bg`%6t+
zv<mAIqd_HONrz@<k$@SVLxpJp+}==QXw+dJfXPRUgf;`z4VP4G6P$)+o$fF}69H$f
z_Gh&3^_22W!T6SnPcRcNM6cYByk6t)nm}3DTf^GrVy!n>BoAP9F~)M9ALRPi{k7s8
ztY>zw`7A9_0GgY?GC+(_i(_Da_5ogpJs0{3$Kj;!GMw*AKVO?$ddIL&nwI5vw~D*9
z1XFF`VYvJJ1k<J}h#;+$*npY?F%<jp0T4~bEmMyZHE-&fUFxp+#RFSDyxQ832`Jvh
zLkSmKlcItj;-*)<)pINfuCXn4t#kyk*@kBiVg%0WZ1|knZY)Q^&_CZwLy-!py+t&K
zP|yNyh)Gw^MZeqOvHuhC*(M?$b<+#jx?pYq_|Od7t87-4*lDF>jf29LnHFa}p0I<e
zkh1Ls=NTKAp2FLhORLVtlzg^WAc;;2)hG^P_(N%a11I$+<8N4DzrVUpu$%X21taA<
ze!nsDIG)PpxlHq!5%Mr)Zu+^l=zeSmq!+#|&d87w{*Il!97__X$Ot<YzV$rd)$TNM
zVEO9Wn7b#sRSqR#bA7bZP)Ltfv5lp?7cR^|aoKH^GP=v1hB&>z+gVe&gW$1k&1V%)
z_y#{XvOgnEvUCJgIa#Hd*jap?x-WbwOm#+0s!a0PJ3(uAd*Ymw{(jOh{U~EP`Sn-c
zg?$d16tm}XXfI*!>ioEW7q#K3k9c%Xpl&orX5aCX)8(`dw%2v$(lGXvdUu`^*x)s?
z91=2!K6r7K1z4Act1EC&LhP18ju{wKk_=kK?UfGeN3SyUR30Gd=8!;?KJ-(N_;Fo^
zm(qA4&I25PlpT%DRvitGV?eZ8+-X4rM^Zi+QrZD7PsiGXVo}*wJzD?zJ#yIpVRZ!O
zTJ%^lFengkHdGP$k*Vv)1cY@)PnD3yVlIbho9cjmywvMl#~{+&WTr8fizK<NF;{kb
z@?m3xqloz_VJ5<^)JChPe;4???N4N`Kp5ktO0%<`=YzQpsS~msE}8h}I^H)=zyto*
zwC>O`ke$WhLO2?2b-ZET6fq`>lx70TfV3j>@3ZG;CNKY2s%f{vHb(vVysZUjO=D=P
zBu7ndO52YM#1XDaGhxLic4=-Q8<j&-$;n}`Vl@{%<;*!@V%7pb{z^jmbq=Q!H0vVh
zFb>I^83=V>wl61MO|EVAL3=)(nV`=@0E3dF(CJsaF(Q)~8No#r#au7CG?F+#_cjIl
zW+mQz(k4eS!F{u)MDg?einW<z5?+?2jNFZhawjs2o0*d&o5PH;^Ucp`qPz&n7C3SU
zyWXD-hsZIbO>Gor#2}Mg7_^K7`%9mtZ6b=m6@BKEOsgyjUp=LesdxYFH{lGuxdN`u
zxOvm~NL+taQaUO^A6R0mDb@%~>>vM<e?rL*?8itZa`+gX-%S={e@NkCp2fs5fUjz4
zDNo3y&qsa7VT!fyvR|W=Bj!+1-a4JUSlG!Iel#K!Hi$T?+X{VNY=)i8wXGwlnf)%G
zCd4s`ru9K<#Ozk^!fbIvy}DUm?14YYtdOfaL)Q@M>gM8{GR{&Hcv~d&<fC+0(rr@r
zcu<9KBtMD^5ogYTn`Pn~Pq^zdT~~z4O+Yt5c8EOAIl?uBsPCo#OQ6Ann>YvHvwDa$
zGT(|L!vZ#QM2$g*a6z-ILhBP~;MqbrK(pqA-=$v(%PBK$!4QZ>0do*+5ZmS}Cs^lz
ze+W(7$I=3oou*k*Fw8Py!Pp#rm~-WME%e$Dcy3a!IR#V1;bUtEuY{lod-jpSDgxS3
z0wpA}p+r5)8X6oO=&@J~dN+3OU!nKXD2lG_H`<-d=tqBG*D-!~MSa<+sf@NmIJTjJ
z^9?c_S$`;e<+!z9%{uX@MyBbxbvqSv*)-(BNNL<12^bTUt8}jFRc97TvNfGtLF<sY
zEbk}XqHJM%9?4R5?5*6q`zn?y_3u>=?^eT0NML@o{BYM~<*XLXiQwkgy~8)PL&SUY
z`X&vsc3Zp#uAnVxVByhF4T)C0^4RKX!H)7%#<6U=_;mhCb}vbG<-vov-V>-F)$xfR
zW};a|N8+wyN2JjyiIX$Lb+tB^YH?IS-oFHIo~+1C6<rOS0LzMYqhN&!;hD!xIY+L=
z;J7)_r{k9cH$lC)T1Qu}(cHcB6eNHWr8SKeT3=rm7`Sv-G>gSTpUvy;?moW1zgO+a
zWJU-OZynF(b(c^jKZF7H%Szxcm0-cjJV*vtalo-5VbmQpg|D7^t3f+=sB*1Btsh^#
z8LGUGp(!Hp=Zfd8!5%pCqC2y@KR=Xj!RCrOoUJIgD>DB}EZV>C<Wt?pVGmqQ;tLxd
zi@ai^GY3jx+GoU2?SI>Y<3Ed7>$jGCUK?2q5uK&NBQJ5bzoNvLGO!Vi*fPIaYhN?u
z@T_-4gb7Kf#RGYRA$+~xQq1>5cETsxLeF^`vQAIt(M{$FBF7O$ML3LxP$GT4CnC!c
z@Zbj%Jz2oX%geKXY4$1W_Wxfjz#y)UuBK-D&(>3Ukd1GAWF8X(Lp8*WDgCHZhwgGW
zNQwszPXz`cM&xn#65wy!@?nTb&|8qHq!I_4Y-AEQuH4ikb!=L`$m_}1KdH&LPARjh
z^o#nc(?0$5$yLg$A{Pl<R<6iM0z6hs{7;E^4mdEPJ~s~PJ{29Y@`tjS4l6evU1lax
zmda7-YWo`LO+jKTkX)HtpFLiJfSWxmVVl>ZB0G_-<gTpJMN~7)J9Ytr1|0iPKsh<U
z%WSRHh(cxsI~Xw#4)}e?0e8g%jq|n@A$HX!n3GI3%bPFB4BM@9N6QoANKw8IGt?Do
z41ym@K*vjvQLE{IACLgBq-SK@sM)%5@6w>4T)xSMA@=Oo{lkSUp-kBNOp)Cf`d|~Q
znpleRRgk$bD4<;HB(&iNBs?(JTTK?WretVIj6W#N5+jFR@$_^IN*-p^oSY^S<zEOm
zQXo#qVU0PxA~-%{)>Z8xQ9ptU|IW(CdHfB2wu8G)?8Vbv<#Yy}st(aDnTvqC4!eY1
z*o?h{g$DV7TYuB2m%EOBWxf&gh93&!$A)<eN}D6<Lm#xOC@L6JqzckufGVY$9HGz)
z|8y4a1q%<7J_lk;-Nqpx0(jeVGl~OdXQ8R2gbHW?12i=?_3}r`6R1HBgzMo-xM+|_
zwPRer2RyV4Tk(BmqG@CV@dyZX+>GwVzRt6k!(6*IglcY~XYAobhbV6GlLU|~Y2*kw
z)!1jL#jR}wr_9sl2W1UpNA`!Kw1Lbv0YNchD$s?HNZr$93QguFH-ERziO#5X7o{U0
zgfU2w`?G}T?L|RXhzfd841~Qqf4@^?%5budG`vio!!&YfFtcNYbGu7S7jSrTK%K(R
z85tuBWXTh<0t}D?wj5OIAOW~02HbQmS|LfM%;x-%?M82uzMj2au)W0gc_bo)Gw^d`
zU)_YPd+>5%-uIISkEZ)Z1KoI?aIkTSb(G9#<q;G8M%iboHl<k|(Atsas<G=wa?N<%
z+~~nO*eO4n%(-tXD;#D&(&g@`2{LHn7desLFv20r&vha?;Q;K}7Xnz0sHD7h=Y4V2
z(5=u8)U0y+?REYn{O{0#bmHsCY)F&X1mY<5A_daDE_}fTqR{#pt@q=6S%`)p#j|2R
z;cZKRVeBG)nn~<WbhJpz0gwa+5fl`ZjGLy!ffner<2#<oGgu~c0a3p`xwqHuVA%EH
z@i9uSs6MVg^j6`>;Z_D!^eo>KMIx>JFC)LZRC_(i46t+7pHbmzBj1`msCfhsRB2*I
z!m5r+&fA>aM0d1gtU$P5x+)!huIpNp$dsB@T*1GNf2jz;DbZ^QFiT^pz6gkyP?)5S
zI+>0C{c}fj6R=&uWn6*YLJUO0Fn5*o<7grj4~Q9Npln=RjF0aPn%JT(O1H#?g)IIR
zkwK6Nj2GYxSw7E2O=?7yY+SD(G^tT-rNxEoZ?Gk-0cF)Q_pX1X1qB5Gw|m3Iy3ETO
z09$${CZYS)8ULp|kUmJuXtgQmI!P$WH-GmZ&*aZsUSCJhQe$V4^?M!8^4L*^=3Er!
zBdjza7Y~(HQfoDn&l-kG^2~5-`agfS7qfGLv7X$cvR#1{-ziG84}%uMs}nfZPk9lw
z)lF}=M(T#k@t6rjF>!IhG?8mtj$rGkq=6@@n{(1g<j+SUNM{w?9-1JuO*9cvT(lNX
z9%RD9zT)JFf+om7sSACtP?%;z)JH-3!Lp!3pJDR6Rc06~`PjN)@6lgDh=wE~ESsDf
zt$qn|)R1(*#>9L8E7;rH%NraVv_SoF=N>{E4TH_3jk!E7CD8}oAb#!e_3_&LJzh>1
zB|8M2{ie)XqR9v-W$lQ2Le$=@!m*GrF5`#h0GUC$qx!s=)c9rxDu9U$m5a$)Ow}FL
zJg?BJN`|<{aa<DAlU*4hvzh1%A~-*>XCyFi&UQf^v8fzA>rd$o>`2g)A1HG*1xR7s
z%N2O^C#bf_gK9e2k`ZeVt)3n_QYj9;YqNpDRXaL*sva_a_od&GX;DrFUpD{zPEND5
zW!cPev+KU3vYaP6Zn`V$h66~K&mki{T^Ppj>twdL53s}3{Dx~%k3K8fV+XR26CuRK
z&CIbRAj+XK-yteXaRr4qbY^3%L%x9TF}75V2|<}5itx+MXE3QC7|4Ac9nB6KayJWf
zpL$Mt`}c-pn)R5Moyp(81APFdV7wE!pwcn7CZElnM#0g_raJjc(EC8zV{d?Jqoneb
zRZWk{^7L#twQ<C&967(P^6i9)<fWgK+e(w1Rt8VjI9FIR;3_IGkd|ycZOa9J`h1JQ
z=+hb~MUHzVv}6`x<<;j&FR;$Xs6L8_8%&ptZLPSQ7N34a49LPeiKI0`doNx@a^xdS
z<Q=thNk;i8`zV}eXA68>K9R~p!7rHz4D+qKMHlwow2h5U!KBMxt+wJ|9q~3bKw_ab
zVWb)Siwa40DT8}=fBy<n#@aTD^@HeNMjh?<Irx(#mNK;sNNfnwFjf)!Ei}rC)ZA>e
zZ{08AcSjMv4(e?=B0<}81s~}jung)ojvx(}T9_NUk(If;ygU}UUz{>GufF*-MM7R)
zUe#BidOWH+>o7Ah(G?Q;1Mm^W_Oz1gv9-FivT|Z+ZT-fJR*M6<s{sQ4070*3#JsyP
zw$pnJ9S?OgNfzIk9Ynp^MODSfU6%vb26NP2;O+=3{+bV~-{8sbRtBm+_5q!gE5YR7
z>4PxP%VRloFuX3J8msN~m|=q*D%K5wBZh<AH)VLw0cX=RtdU6oNc<-Ze7ZRN?$0k$
zDN_`WsfEeSfGCU{xF7Y-3M*c3;O6r98OcE&XDgUAPQV?upETssoHbUg-z0do)<e7M
z^G&p;ck!uL2_xuqnKdFX<B1(RbU{#P+GrDsP9x?F28!F<*hUw?H;Iw-Y{b3k4i4cI
z=~q#8JWvFUU;)YvX_|jP{!dHu|7&B|A6fJ|AGpcsA#Tz@ubu{2K|=#7fH#l`bUOnS
zB?wdnVh(0WFjLq&7k;}LkFO+kA`Vqg*p^E6u>?+y&g{96bWqu^UIl?k56KrPXl+d3
zNwbpl8y58}$KY8xM#|8gq<??%AZ_+5#;evtk}4UCbK(1=q$%3AoWRzhEj$`}TRe><
z>H<oy>?>DKoWMh8Q>yU>IjCZn4btNM#vyhab9i#ad<kGYMw(SMgKCBKY5!L<4u^^d
z`!YK_pNt!TBqckpD!rYr2$AhUaqq^Hq^3VQRibsmOlMcF!T<Bk9?%22LCvw_e1!2f
zV1aDzjErrGGKgcD=dS#*`>bxPHghX-T*Dx@Z4Fv<H(`S*kPyO{8|-N_4;D7Iy}E-(
z*Jd?ZvdzmB1d1T5@a$U#i@}v)EEYrsGd;bxe7&5z`;&UlHVlGaZ%{j;vJj*sTz$7e
zSy!AMS$LIcW8(!#DA8Zm%+DV!7;Y?x4ckMQGe>-TK8=S`@}2p`P`4N|&u8!^O~Ll^
zOxEh(7MOVc?9HRZN<$LZf91xoVNB6HT!0%f`LKk8@yj{06Acad=MvR#MIFVyQs=RT
zLJF4{HKcBd(Av>to(2>clv_vBi?f08p#?VGW;{d^RFey){v1A8iDz)Y@kd-NSLjLS
z%|G!h{&2i@E4k`8)4!LG#Z8rV71>56nT0((m-H+l!O3?BbjwDvoSG59-533r{g}U5
zYoJUH39tnO*3{J0Q)~b0@9#$k%mV~VH3ANBL7`+zdw>ThXq(B`UHL8Zbz%y_GxZrE
zFa0iR7NPTT7qdJ+Z8JSjp`Co?%#wmf#$KkyCNyud=rybvJJoh68Q&p_UDYTm=ij)}
zffRxe&asp8*Ee&;dpR7uYBZvdZ?G`I8`xRXi{*E3acXOSh_&y)PN`|`fmjk8Fqc05
zX1wsd`V!}wNGQA2ggQh*Yhx;Ri5!?BLyC4wT+ZJsllmrMQBjz8!^SN*`cZ(p-F1aO
zX&awGhijr3CgP99PjnxR#h?oi#$kRpW*@!r6pYAV)_Y?rzI=Us1vj~H0g%EDPK*&!
z{FKgkj}bt0DttxX60jzIv{-bq*dG^FwNU&J1EOwXYXz7)uAn2S4*-1mKD_#5I?zF#
zjo)fX>=zjBy9LNB0V3*3K=b6`J(>LmJ!!Wyf`+Y}fbnYJ2(eCf&8Me*VIF1A)T%Dv
z#+C_izeo?UrywyuoGg!Hz0N<cZ&5Wfy3>$@A=4xU40bGzNX0NB$iXQ$dMa3JNHSW1
z4hA*DcyR|1JxOF9z+L#w?QDJ@CH>`OXM#Dt_EWUkC3_)o6}|iMGFi>8f2Ke3`qdI?
zW7ex~x$r1zF^O+fh-RW(q;rz<zG-DCxgvoBcb)sc{T1UxYvx+mHv)zuVF9+lSQ%JY
z9Fn|!TwLyp0fYd54K+1anfiDt*>t%_Pr>rLySw<4uyOX0oY=-|7VY2C&;Epb&Zc}I
zU0>_w=H`FD22UyDb_u1tItG7uSU+26kRa#RlblgghPg7nH0QJiEyJg?7zpF{|G$n9
z9Dv3I(oO6*j3HotCj~f8>kxaN6ncRa7yZ^iLYbgv1p&(Da{BsPBqX38_~>$_qb)D*
zsN{3Gau8^4acO?!ynM<IN0C4VvSfBNyzo2|0zrc^SY%2lb8Je>k&S@z9wn@pFSJ9l
zON?p@lV;B+>6#olv1hQqm9h%`Y?%#Jp7r)03{Gui$lxdvakDCt$%0xp7{$_B<|t38
z9O%>&`39qX_6WP3DL^PCZZ{IqrVPpT&@DX&^fyeYyv9H<orW14B{^SiLVCp_w^Os5
zD#hIZgU#6OKHVCDL>{*%Lq$n9l~KHl8?0)IgvE{phU<*+Cz*txXIqm$Uv71x%gERy
z*!nTDJy~YmNIb1UXlH9(e>WWz?4A1c<#mE+qZ0rt3K9hOcXwA)Gc!1#?&{#dQ*a{E
z5-Ct))Bc$y_Q`{n@E>5uoLqayxr3OSmK$V1k~9p;@XOz^_nx-{{zZZYdn}`@NcxNk
zHx1qk_rGMf4@Y@2k}>bjLt#e;(;kC=bY%~HWf)JOAsjA+qs7x&DjXF3{hhf6&QS_x
zGWao`oWmy4EgK-~mj%e~v@j)s88K|s&t(a61z)qU_1BQ1FS(R5qo6Yd*RD+-X3Yje
zNE2JSz`hj9N`4lW>vfqNG3|b;q}=Y6SXHh#xN95Ue0lSt?49JxKc|!~wx)?(GMF4*
zI(QcyGQtUKvU)F9B-{RyhPQ6ArIanYGdu=^fd&!@%PVl&^J{5JxsW@yX5uQBY=gbc
zIB0Up_1wxZV(ifREof^Ocz^BW;S<c+=P3FDw6<l?VSnI71s!EX3>G61ScM1?5K!Of
z7+v7?;~;9I`*Gm^jq6VF6Bdy+SH5_rX@ixg@u_K6^s4fM00Sj@aF-K&g@sA|YSxt6
zKd?0l0LIjH=Z~C0Ufhl^sc>Hg-ub`bn^<IVy{1Ay_3oY9=+vKF1x;*h5ckunY<2@x
z=|gez;%J)+ISq{$zpe0&OhEwv9vu_&iGa=6o*&sOAtA!d#B@o-WvvDiSP#%tQ&W5R
z*?eGKMB59sBN*sBvZDRyo<HM(a{R#&+n6Hp&@^*=4vGk4P)*Vzf1?B>tY7wCf%+e-
z@fDeofeOOqSJ#F6jiXP^o=a5Upo0;HC|+(nX(%&%>M<U<TisiKPEAh7=&IgXquCuU
z-A#quPYB-3g1iqUG9vsYZ|R{|;Y>L9`KXZNvpHj5=QZK)vY^&KMZa^?Uc8(HO_GTw
znNsT>8w}K?%t~X7tYk!<%!h@A=^((vgM%_@cSFOCFX*q0f<2(m&V!;h&(m$o>o_-G
zr@>G(W^0?sW8;>E!(#gPS~o4OQ(?&mIQP|j0y*bK0vqnCO|p0NPXQ<iG%$?fyvze{
zyT6Qb&@jp0x1G||oy`0g*BZBRzG(ym0I<<jiTYL|<AqsTb1T#)TlTrxHnuZqNM$dg
z(P%E#Nqo{(F6X9s^u$h~%p^vFTv}Fq%BTyyC-43e@;gZHD8h;^=1ki59J=%VU0uy?
zy(uz{<mgH`J9Yu#v+ajqkH_#KY**Ulj3Qpl0b`T57`HcR29`rp_jOT3339rP?9v<U
zMl%jVk?+F1D9Z}jxSy9wW<vJA`1sy>s<&6-H$aGYxjG$>Y|C1&^c^Hf<@vQJzLZh0
zNF?Lf6Ixu(sMJ3PIa7&eq#UVABC<)>L_MFp%bsw{dK}6QJV?;sq6elO0Dw-y=x^#n
zBULOnrgp0%%owJa02Y1$?;xv@%XN<{a^m(!{+Lk&(YlaT4%Ba_Vcv|HJP?5`p@jMd
zsKw4rNNpJGC7nd&vi}vU^rZa!88FPSf9PUPPEJCBHgT;Et4*aO{YN+34MP=#9(;k_
zYUfFm@nBI5#4mGI(2OtruCnhKFuntYM%B~=1vF?d7{9}{dpy20-5{7b+x8JWHjP1>
zz7lK&y6YK$VLy&U{Cb+JpL1v|AQTT{M3a7dRV2`f!g<d5Lc;0Jm;-xLkmd5R_1T-v
zue;@*q{dWU-Knyigoc@WAEPbP0LP{(_crOU0jXQPpU)!xrseL{H=VhMHafi=PXaTy
zfpz38COVo^*&lRf@Lw$u0esK|rU8U;%e7emdJYM+(eohOicyQ-Y-^G@sZ=6u)T=xG
z6xUh#KV1`nALA@L>oM2yU)Y#b?Ssg%rnu?eqhpw{ODR8I!OifLTaVBnp&bp+2crED
z9DcpakeWVBJ6o6MK=`B8U-QEQUiwqveqBmMa?aYG$lh7&0a#I_g+{}-wjyRC^n(&M
zSx23P%+KGej*!(BTJ~(7nPR`vW7EA}PqjDPfEO!l@^xF8NqjpwFaQY{8`&mDXzB1_
zJ5x;LXmrEwjp&%FGFi*36Hylpl-}Dhl+kz#S<aRAanKPbM<79&V!VNL*cW6;#X_e<
zGOhtE34qdmBj`P(C|r^dRWi&yaR{z!yxR3SptMBo*#nSR^6*ss>2C*1$#>(`(=?_~
zA>owiT;<vgb9SS}waZCA3)pe(ag#UWyZ2tsOPQSsCY2yrnxjAW4pH~T{iK%p3@%Dd
zB@6w=>sW^kGqXsQW-1@K-v}2y){Hl07<6k(;Ay8h_$~0$exg^^vNu(`;`6Ntf_BwS
z<<|B}Ks5wErgOu4%n9A-vn1G4L5-tFH$uP6Dc3(J^6%Ov4BMKAcJmlziXa9oTX?k&
zKW3kw@o)gu&kSN_H5w`Y>x-^C&Ik-68mtU6>Zmyes#0a382Nu=(p~3K`{4qdS4!A~
z6$@QWARG0}kcH(mC@~?i29s(=FF*ifk`J)|#7P}ST7G}op8~<6cpi;Y)6#l0w6!~x
zuCEWqQdl^-sE7*&a|9pyDQ7>mZl-jkNDFkuqLM3+yfXYysI3rftga#rXyGh#%CHf;
z&)Dz$6#x)0N)4}nP7OVoFdbsOyLSAlr+)q(nY>D`c&bIkFaO6h5ROaEK2)A#I#mNs
zF3;{#zU51Sys%8ar7g30>>yA#Q_&K<MTzc;U)wm9d9VHr!2J8S4SBp3t7Mej3NG}Y
zA=_A?mz@w45V-4+IH7!f|JIceG_6g6s&ztX@g1n^(mlTQ^v}r1@L1Tteee;?%X7rO
zH(=85_LTa-XHUq&7^PP0E$XErLn3hd?mv~vmM*pA8Lr;L_9r@sQ-7Tg)<==1Jgge!
za>wI+GOBY>b}V`yX8sTVG-qqB67pnH)XLWU;>pQ<Q56?=rQCt_9~xf>;Z;K!wg|C$
z9)JUBWGzh13CE~N=X~g6`a@`*nEtaSt(q~`u*m_9&})o~m^ra0z_5V|-&PZ-x2$mT
zI+njwbRlQG8|ZHUSmc`0KI-}zhPU|KXDb}2+H#AeR7p-M<1`9h9|f6|m-4;AaZVji
zVhrCCFG+oiEU0SFtmaBisft#W9WIbP+LSdZa!8F`J5>Ge{^Rb=E5EIXmp&Pn%JNn%
z-oL|0PQQla&$vI+Vm|Mr6FPd~prS<7G*cWm9#zDvu0DMimbQ%2-!SjNpIe(W^ZEIy
zF5Wl?og{|QTSB=vUtv+*`gwwvb+GxZDJSicibk%DW<8*0)m`Ft)A35WlSF*`a5)7m
zmJNL18X@$B@V1Do2Lg;xwqMJqw+b)2Eu9P(5ubWX`T^VH$%~AY_!3psPmDZS;LM%!
z?1huV_*_WV8~HH&iP%mQ?<%p;BWUOtQ%L5ACRo1?R2TZzcXmyaa&jtIfZe5#=i?O7
zukA}p8}2&plEwZm<6-!W(fw6gSTQn_i`A{IEjar&A9|CT#K@<E!$YBb(C2|oh<L_<
z5P4J!@C?xG1vyA4_w@AaLy5jXn_S2$ls8ZB-+rjRO<OuT7FG&X4%wo8Z0fa<#QSo~
zhNC;MmGjX3^@MVJT6g@r(LM@GTdg1%6^w?C*Oq)aJD+5Fd6-+un?7<6{SX&-79?n#
z%2I7Vblw#oE~Zbuj^6GmT9<hv`8|NST7o<tr<G(RA)mfMw;r!^(zK8~LZ0>Fhs$(S
zueB3n_ZYs#x01g<djHPVO-d1zYm1`VLf6MZCan>Akm6evow+dfLP(UH^ux$*zg-HA
z?wL1XQ^6g&P4SkFGxvG~40G2n*PH0h8r?`~%AlPVAaZy<*6EYG4Nv&nl@V1$fCbzc
z<=r~A79!a^;}J-AcD}Q_U&s~mU--uHY?Fo_Ie?1iiVJo6P82UsE{bH{XxkI<=y_Md
z2vY`qSsX#!yM1<kdS{&}$O^WX;2R4_{E4yH898EK8#L1qam+_)08d@r$(Do=*S)|g
zm_nWrwgZ;tdSzz19tetF@E445#`UaHP4&^5d%A-R#gcNOz2{lu$63n74aw|u!M;vr
zu#YyskJr-VpP!sany3nVeEI`TF{0!aA(BG}#j&swbD9X!zCqD*>YYVfT~<x^l+&<@
zcdvd(&jit)pz3iGa+6fk#F3POlu3dpYnK!jUq2U3bD+iU;brFX86xS}J$>H&P(#o=
zeY#)PgESAU9BGp)R~pztrK^M5Dl1Q^0J69y6YvNKZRx40k)Yxk1hS0g0rQQC{OYKw
zxi}tM=y5%rO8|eN5;HmY1od(Mt^T}ZWTM(Z(_l(6<t7eu=h*-Z$;UTs1zI?1bQW1x
zlHjIh`IQi=At_k5iU>ldcb;6)Kj#_<Z8jbl`zIjHyLCn_==#he95h%jiCS}#wqH4t
zZK-F3hqlcj5j8ZND$TeDoj**Zj(br*i<(k3d9H?pJszxzk@#q8wEEWPzTiZeCJIzb
zmMQPOHUv^ATQVVNS4gs9b30dRJoWc-Ss+$#8@SO2OY0V54U;^2>h!Z}{+?CKD6uQl
zS{jx^Y<~8(+ff1p6!iNCeo*aR>Y9l!{_0E1vA#O{8C!3z$35>G>2iUYBVoO-Oa7C~
z<5zQV31n$Bd)8<ufHR9V`uu#I!&Uc^uT-`;Ky?+*_c*~pOJNTt6#XBqk?$0RR6_x6
zVexXzTI*2L+-Qgd;kts_-q<2RG0VvIrZs^lQy{L10~i3!%K5tl0@@}5Am^S3y|TNY
z;2U{SBxlGjQWB+A@`Yv=N~uzivL!M_0<&%F3v(*bl<x1qJQG=BbCLu`6G-OjHg&3H
zrS&B|4dh9BiKz1*&6#}82NC9mq~yuLDpsy2i<*8%#?2$5(vYdkS}8#`)^KC|e0mB%
zg1kSP?mLr`o*@H2V4K3~YR2T9Mmk|Zdl1LgMx=>=7v0prLi^E|TZ%UI#kM6)w?JY(
z0}IRU@|$Lse2CxAmNHYfd3=xf?Ea93<~ROcSlXT5w@-N{*&(9JvZYWv8I+KcpHHtL
z$)^X_&v5&`1KA0=lJzsoV5A3vu;U|EO-S9`b<8DG-x^HElFtEx;02Wp4N57tBbV;=
z(4=Uy4#b{2LASr)_X63lXEirf)YM8Ek$c{+x~2eCK(lMb-(RkxsF`Ir^))tZrR_g*
z82FDRaD4oUW8HOsvI_}w`TP;op>xHkRBLlDco2iwg7X=aAnH*bD=3a9Jsqxgid#BY
zSn99V?$>&(>Fb!tq%whKsP#1(HQH3x5=s;>g9}<{A}q@gS3*ZTcy}f~XW*6n4Da<&
zW7$amYnBMc^_y!9SVe;Xr%<$?rm$2YN;+>!bUXbV!a?(osS;wn-MaBDS5LDIB!T|P
z(5GuxS%0p~XSvpiRLq!0`nWvc^bc*1qgO7ycc3a}Di`WqVaL~Hvc2p)6+r`?OIJs*
z$FvwG$|~yT-MwubMI-8U#e8`}0DU7gl^TC-BoEGtrnNNY{BYUayr#!ZDl@`*Wr`~c
z9x4qXpVQa2su#-SlbXoA6uPt^GR6ubXglXr)_Qt3`x~Dc)Cz6Y){9yEY6R5|oWPl|
ziQY_0(Awbx4G?)E+Vci{>ALwBGCVxI#As**DSjfEEb>o1t0Rl@;MA&YoJ)KPw_D_^
zudnX(=`5maV&-yNWB3jfT5a!x@v1mG(?8;D{T@6gPkQ!CmH_tdR)-^IBbt`RJ}(_d
z(kR901Z(ZbC163rFQh-?GK%60_~vPZp^X3a^Wla2u?A_CjY}<wiY6D~7<~QJp<1_P
z6pCXSou;GYTd?5tIXdt&_?R7U@$frrD|6F3I~{cyepg=JihD!G^AcC5z9Y;~A6A2o
zNjS6VAgQ;18=uKv%73c<Nt8)V5K|?nDWzYKVl-Bpp4ZzOc3<wVQZL6!i`RP$rp&JA
za!JcY&9wO2-RNRPx!R-;k*a4hJg!i34Y3=P<9&7$Sj3KN>1k<)*P<%_FBSk6umS*C
z3}_k1?<$#N$bbVzR#4g3Q>%rc-_G~@{8l;r^)9pKbt?W~*#5yuw|UN23!QXW@g7nd
z4mhq$k;(=DFr=(fcF@tDa%)A!zbn3Uxr;cVme}dj@danN6Gj;*g_+_RTLVuNV%CCt
z^bJ%(%F@)I-oZWprE-sLmhAzfuNAbYZRB4PqS#bi9L(b2U%;0oCaCZTa2(JGs+Ksn
zI5%pBt||+(V<(<l4}2qScIDIkEZ!DTli+r1Dls_3wVIuVi)PM&DKj{D_98#E9HMe7
z{10TS&lpeZ(E|fFDwEug^H&FIiDdUtz=OX64_HL>Vy<|@FD#w8u(dFCY=4clh9!JJ
zbFnWS4Y;^P;-gACY_G65T*g9SF1EUz#mid|tRp4}nY<mCP|MF7vtF0OJ4H~f9(6w1
zV-nY~GU;#51-(7lhwT<q*|N6bJDEV`s9O6YH~alucTIsJ$0W{!|M=pxnCpRW096@y
zz%?K<EhD2%x~He3<5d}e4CrH^r&pP8Z3JbIO3<*U20Hjd6PlAVGTOBVyo1SUw%TTm
z{B82Q-LnOVzyL&1dy~#yDIw@4cYay|wRIIwrXZ#sDyDW^c`>D=gd(!L1JL+JRqO3$
z<04o69=g|0c%6X_BB%nU14}^pfda@3j+Wo>qwx&OFkSRjX`?(;o~(<bjyf{8EYYp9
zn=3ufnAXg#SKDg7v~OKn+b`qk5VN*5io!|Hovu5l%T%+xyHNrYR(vrWX#Kco!N&Wt
z0<yPj?`F}D21V!4lI1lnySy3FQ#+Rz1WK&F&dtqd6!&gk%M2L{e|17|`Br787jjs(
zs{7(S_#qED2rUF%dBc96(0P51w@OV%BsqP8$*@!AyzW!hB16lkuSonEcUA+tU_})X
zZ3XQ!*yqe(%>ccGU)|d!x^Mv2kzQMs5!fWu(iuk3*(^sOGiXpi4@3b3lERKKtRRN4
zEpnOFB)Hrsg<;TP2YYWW%V?3~cf{3IHp8sOO2Yh^HE}iuSFb8={hevSub~L-TF7BO
z6yqyBI@xDI8mOO7ve~nBTuQ2e*Ep6~Hk4wjVU1XfU0qpiBdcGz1r8c+_67O^9+&U7
zwOQzd=I;<|@GIe5-Ybo5LWc=aspRsx%<K+4=)7(@=07PFqT#fB>gO`Wh8le8(@gDu
zNYsrsVib<m=j0M0j_{aQ(uAKW)tj<>7u;`B?m>%4BwdwRvMnLOUMaDu%jS|KYo&1-
z9E-W7@XcQDOt4$U=io;!`zh@><fS(lcWV`^CkP8J;`+k4wr1?d1R?GhGI!-n?u#U?
zJ_0{kWW#$r>m7-KoLi4X)h}9sGJA3`(fc$(Nu`c;xk!{fnH&j+7+zgFHTs*ec%VD~
zEL6e?NxVs?@oR@p*Ont6Me@3EQZ!S2bLJ!{a?Xl1y|}p=1u2eAq+s^`<PipAsWk(b
z&Lf9hL@Nw#D1c@+30hb3h=>?y{<ch--@j#~DB=R>yLD~${as()b^L$`%#N}QnmF{<
zEQe(qAqF^xy7Zoc8ZTeN*&;~=z<<_49Jva|?to%k6ItNMk?8kp%71mr5MLXgFeWvE
zve&qx%ePzjOS=kc(WVj#>BcJM%h0d<qa>)e<0F1ABYm~AsV?Sl*948=2ea-)McY(p
zknM8Gh%^vhLvV(9530;01Go?ws6-|YJBBBM@7jMGYb%VDZL+!CZ8iD~)bXw%0a39?
z-Hdq48mIR{JrKgKPbjonwNdVkO%%_MbP)<tv8Q^IP82SfZwknwk=i0qtFE~dA4cBZ
zGg7GSrqZ{>0_LH?H-+c#Y0Fg21e7s)Sc{%k->o<R7lLm3S#r5}9L-erjHGCYKgvu=
z-7p&kPc19du^|!o;&X0~e7S9P2c#z~n|xpIW&u(V0Fy~p69$tSbin^$Nie+cqobq8
z0lsK~9t#!91nEpV+!%$-*&r{i1OD>)4!nLU@=gcPg2SyW%?$e&a^`n*INX8<OR9t7
zge@^iMF|o1o9F?}2%c+*`N=ep6JyV(;e(4^4wT|c1-8F3ITG6E>`$9?pGg$H49w!%
z)J>69&%Og>nkvC&^<z9;mAP%_CcTlOCYix?9JO{i$wkP*pJm&e1$U6y$$n}kSJSFL
zd9}2b??<{|@-js{l6|>Igm!LI7HLI@njTZt7cyJB?p508!UP{SMyDl#wiYD}Xy_<t
z&<+P|g4&yrF?P8tj_reg8_1Ur7U>0P1Eil$uh?PtW0q``oI<(!q1O9tD1<bdFHwa%
z_WHmy&(68Gz3y{HQ~0Kz{r|nioX)YxV=_ZL6%j&upDvuPX*y#8Al<QNhZ6;3vHm#o
zVKJP5y4v1eyO#As+n7{3e)Mg3W5WecEz&18=nt}{G~-D_V77$B%U*&;aHQ}q!bt2Q
zVM!sBOiuCQ2ClJZvkK8t%3@>ew`oG{fC|An;AB!sO|baW|03)wgW_nTE(a&UB}j00
z4estP0fIwtcX#(-!QI{6-5Ch(?(RP9yj!(f-;b@@s`)up)6?D0m2=NIcR97GZGzVz
z&8Ar5_EFcgylMI0YD9ZGj;J<Mu0=0Xex0aAu1B-G;CtV*@kKG2;lR3qMU{>rH6!CA
zlV<I<FX<~f+DB_+W8;4hl>pEUX`rmEJgX6tP!W;;jOBj^7{@iXdKkyV!g_4qxa<IU
zE29QqMSo{6AK1Hb=RSe~EILh7{WszrpMMz=?HfRm{d}uIL6Ks`BciGoOPKL8Aw}8g
zkgPh&o(a;^&o`sDG(YQ)6_q(j0s8F@x12JbJe4^fm3fzKqX&}#RE)2G9sik<adsYd
zXN|5a{nZU5`eh(RTMti#`UlAJ<#Z^41RoLu@W>DNbeyQ9!R~+f9>-D-ybacBH;E9+
zgJ5mX@UG5o_2G2A-xMGyg7<m+bIM$ov73ZMetWZ-W@4kW3!Rht<FIztwP_!+tZ{E1
zT^zZOC+I1z#&-6@=eNS5Qv%sF34lv|EnlIS5mIO+#53j|;b{2q$e-Gh)cgRxJbOT5
z#R-9wS%MTTSdL2$jACd0`FmcjSK}r!7)~0QpGOzRvPgr+B?(!ZtpzCrzMJ~sVK=B6
zc=Yz;sB>}eW|UKqA#xWbDk>_bfdUB`lZ*}RMkmamoMC2h6Y9lN-maRyMU-WDh6!=M
z`}R_q3GinULo%~I{~&sOoprQ9FA9rw;57OA1@ghxZ4t4+hZ^ZTY4jUzJVS(7c_OXH
zn7fEnu&*C#rc-#P@p?GE?8uxBLevDdiih|Hqhv+$2l^MHgch3<w`>)h0=iReOvE{X
zg~35{<kp`2?{1ShX!blhvjTZ;y<vXO^906#Z9F<o`e-?9NM9ODc52@57@dM1-4F=2
z>Bh^p(^H9o4l1nf52+Sor8R6J*fs3f+V&$hME-)*5(7?t9dG2I>l*#Rw*z&}_H7A3
zp4BmeOskWvW^y14K96n?$`%d}r?5*6m;_}!J9Q_whKkv=<2GbcE*}1Rh_hY^p%38J
zV&qCS2ZN%8Fq=ZCS^Olr8?DwNfkL^lzdaw?52rzAri$`L!2Le%9;jYrvX5DK_+WNL
zzWaxD@y{zOl&#Oa<Ewwse^c-uR0VKpzCi`eogBk4E9(I(wJ<*S4bJ;!WD@g=n=nf7
z)<Eui?1|lW?$%uzS=ZwXPL$_RwSK3;If94=KhH-=N(th3#=AAOmge2wGNpNmUZ*Bz
zb4ujCccAp5yWCvb8gDo${J}wB*#+}a@Oq}O>h|_wo*{+lwd_Uzxs2LWLCk8-F$Mm{
z_6oF~oHcIg>3*ZG&r)#qg4+aKlf5+myG<ALf(oD#@EviP-D>X=h#rf9$#Xz0GYLiy
zj6nQG6_^X(wfI-J;Um}7vp|x1Ml={E3&e+@fdb|Oar@_A=a^t(V=qCqa_F_y2Dtk?
z+iC8Gddy)%QNsdAZy}kJxB;k_fEf0fp#0!$2qKB2R1IV3uI|F73T$J^{cUg6XliM(
z=f2O*81>Ib7y4EU*W=|m(`){cikbP982o8_AVHlrIn|ZB$?P{bpXbnp$pAkG=DuV(
zFYRAE4u#-EK?r-jr1_=>Bd@30_B*&2$8kez0bpNUES=6{*l1r|jEi7$=M~9pCwoib
zeZK|}iKT6L0Y8r4EmPUoez#j<W2t>~`iLzV`$zD?N3HbJt{9_ljoeFeToBtoO*Y!I
zvJE9KnZu!Hf0#ZVXP&LPcy-S<JUj_VKL4tytJ^<T6nHBOnT61o$LuJSS?4f3AEg9@
zp1E>cs<A3CT<|YDo$DOb^niNZy1S1#s<$Yyp#AyHm|WMn?S{=?{?7bT{M00+f~GKD
za}v5h`LlrWOYo~OEE{BN0bM3J5WK?`tkyuXaIj+@mJk={*svWyWDvt_;*d^A$~boT
z%c$Evcyz}OX#JT`c(!5N($LbfG=$TE)N7WhU^WG2YYAF6b;BTFz1xBriJw)Vj)z5U
zKQ5owd$9~SfWh~IHldnN_qy&kx@eHEpN_7QhZ(==Z`-qtA7)^GeLD(CXAVXO8OuNb
zHFlJQ+_&n6-1VQ1=bydTUIm_W+)uzqUh>r16t)rA>+$IU_m>ZqiB&xSad~2*);e&<
z;Oi29$vu}cslgy-^u};A<ItT7(O)ZSUcIi5;~U!hCvDZ}W%t^3>nwN)7D^4fnk7D`
zIEX?nSUnYs>+&2n*d`M}0dTVwVJYTza$I!5<^25#w0EVnk^l1}yeTMPXMuqwrj9;^
z%u<+1!0|hK)lC}s<Yf-N6w4~2UC)i$bwSDKCz&$ZqAFl7`0Rl}Byd?x6O;xF#l=U4
z{~|kk{~Fj6zx|7Ixj2{iFx2_?9<F-<Q*L_z3=F#F=x&h#G)w<-9T^)BjE+%s|At0k
z>l%dWjUImxWZV$6YV*Vj9Puf@DJ*Tk6TE+5d!<LlE5`>LP@h?CK5{teNU^U32cQgo
z{YZ#R1;^7!OE#B>{A&I>W^?ZGvvlQ!f3XB3(>rxk`on&mwI>9C$o<YHSo&5e99Pi}
zJ`1D(t}vioB}E2(kcKU>4LmQxgaRF=4ERU{frNyd;<z0W;(%Zf!k`75=lw_1O3mDT
ztQ6%ysW@+WdTW$1gbuyYd=uP1*jqbm9TctYn*3N;RH|)un&R1hew?2vo954Y8Xg%Y
zi|SC34wM(<Z4nKwey~cEmeY1UDE0`3A8oFM^@|=9!;Rs>D=F>%Hw)k8r@~y@UvM40
zU)N1Q{VgT%8?-ScIkUQm^ktoGqG5%X!Ayb`mR^&~j~DR%$`s<`r==a3^I^fzeI1kv
znM?l^mH)3;VecS7l<G9v$(C#Dk0jL~utYu`BWY_<j4W(_1do$LgJ~;7Au0(GlN(pM
z+OJyE>I}!-?TTTE+~DyARt{tOW8@AmcA=^H)2Gs5JWP{+B$dnc_kHHC_9iPb?)j^Q
z2&bm!Cv`j^E0!@*PfHQz(e&bxWOswqJ<2R_;XyhRO3ZvgD-l9Sh%)Qw0cI<)1~`wX
z_u>(fjZK(DEWkm^`6dVE*8V3(N|BAmKv=7FC?aKm)tmNcJo;~NDWR#1iBZ1*hU$IN
zS(?B2FI~89ff25&Y_K`<9~l{$K`;vsBcGZPnmL=r)gD~hw`f*AzKPw7KIBXsyq1)y
zCK}_id<((`P%7#b)~c5^cszRfq;k5v>yvIhod3BEupORvV2`w^-&`8QXEAmRTx5O$
zv|bv>o#ZuiTxG-qJ$brq7<6?ji1Z)Hrb4MJfgca4WLGI8=x}U`7Z@Wk1hYnMBEfut
zgBaS?sVC^^h9J0N8cm!eQz$0D^I&csnjk9+zsK&nV%!+(={R0tn9mzsZyTd9ZzCSY
zz81uNq_ZLp?``L1sQH>0&8uzF*(kSpG=BNjhn`<Qu<@H|qrMF$ac)r&U2#^3{phb}
ze!Q#<-M7p5xgOug3xdr8b)>&+dyEhFdtLQT+O|3TH*QQ9T!HLs$U_?=qr01ES(ws$
zyBbCV5=N*1rwIbGutBgLcPFs31G^^aTsz|9bB#sKx(DhAaiKuOAlwxiJAGA@Bu7ZI
zg|zYc@-n8X4#yZ3I&5|~2|zq@a{3!_D+By*xEn;z9!PYZC@<p)tN=nuE4$7--a?bx
zR>63O@}MPi0-m6XUQPSqeTUGxnn9T9@DDKoe8MW*!BrnBdhvHa<I&&{<q(s0Y!;Ni
z9~t2DZrl`~v1WLy8Nb_o?K~nUB1x;Q8JbG{O}zH9m!@*V4RWE1wFEz;dPgzaYowN<
zn*8Az(ohTRY-pk$<9>C_{eDKYse;c7U0lbA(Mr8^Z39NAxzd>yn<2?zp!toH&+pPl
z?m)Rq94VsL&CTC?sxxK3!q)#nFnTlmu)gqTe7nlE6$T{v&uxSvu?N<F;lxEmt+8G&
zc^2@v#X;I@)2H+@S>(JdFa5W#@`vo7dUqY~;qQ1Zl&Kn*@+n8|{G<uA4=C0Mz=vmm
z(!B7!8$7;+LxOz>8gu-%bejsKG2--fW>3Qs-G_<I7e<$dmx@ypIfbAH5pf@c$XGRE
zV#gRYBL#)OrVzN8^2h17deqaM!ge84f**VAG3gh@4`byRqj`16QPChsA!&1C9fzR<
z#i;c@YR=8mDi1KbrnB_}-ZeY2YNs&w<`oeD$#^fH!=qq3rly1XaA0iU6`+J^r}Kg!
zPwH-yR(yzj&Z|jCKt^5J*KwGE(v`=EH%@1{YyF2mis>)@bF+>fDKQxryYoGD3{Z^t
z61C3HWZ+yYu?2$Uuw`ny$$_0z7kq@J(ri>1zY{URi*&jp3{{I^o{;-$DJkU|e!<4Z
zegZs0fyrn3wJK%A@GS^|*TN55MY1V>f2xtEISHX+!tz6!8wjl=K9o5tgUb|)y<xGc
zRL?uSHp#TIVjQS^!PUJg@BX<zIs?fg;R?PuJ|}j9FSj`bCik7WrsE&sF|06NimBhA
za+C7Ib0sPB^=iGju~YvPmaKtoLN555+K);zbrzsQF@d6kZ&JOoky{L&DKNug()+VK
zxVi31WOw`9-ABl>AD8i`A2HJf9U};=V}D1ehZ(oace1|pQx$#yqY3!?Z8BpC07sa*
zhB;O93e6%rHLpDCLe!I#vvRFykN>LqhsRa|^Mh5XDl|r)aCcnA=U6o6TSV-c#hkfd
zm_c(uKR&;yc3sjGMA4XE0BQ?8`u+ElhZmQIzi{g3?qmZFl5F#l|B3Z1;1Jv}gq8ct
zZNij_Ok14b8GFb`pqL;~-H$(J@wP7gbe4RRe`bRDUhS^N=x3P`dz(-IKjK#3C(zt;
zzoN$O;|hi!A^={JxwB5obdMD98#TGNA5kx$P(6<6t;fAsyvxdwD2k;FroTY<W3w2^
z&>~HWSrq?`@zU!#u_h`Loadk-EU?3)S$vOToDeArq3soNVTVT1I1aUD7kg|T3*#mT
z8imZW>s}*F6uWO+rA3XoAaLsbkU5{-IGJBvjI36LAuZiONQ<ay)a3h-lRCS3&6@YV
z!T`d^gs%*6s4UYR^4bV8WPtt{BLS+|GjlZ*sw{z~dgBxc_?B8ET0dl5a{$EQ$XO0k
zBK4vGA&(*P0h<EJqwIFm;b2Z<8?{9XQ@}s#e;&T1wN8~QQZVI%U3RBfD*PRDRB=oD
zc=1%2^cAe}gRys(;(GiZ`TEivf*3eGqCdT#7?!5zFGQd4J5aMQa;ojrGXuT57S=Z@
zhwYMKxKdBrf7yXLO}5JB0JXj&%J%sMfSK8|kbV2mRSdk$Uxh-%<#S{K&e#lM!Rd<%
z&rtcM34*5gQb+^Ok9ekH4b|O`zPQul`v9&Xc-5QXb|u_BWX4<tE`l0Hakr8m-!Hr#
z^BX^Li(tcP^E`WiL=P$wh@F|OMm}Y3bKF!?gR@}iEqVkgWbNmyer5j;I~$ElHewnK
znDUCBS%C$9{eD+Gj)!AQuE{jnHvFX{q;x2>@eYAM$&fasE}@k3kA*<*#yMT~_nMP4
zQ`~SzVE%?Y0e@rwts2D=(w?#v`hOXf44hF@=&)dq9or=Ek}<>`Dl0P&n6JRZ2n+bL
zb%$vb9I%=wIarVpOoVixAVww<(5ZfM1FLPuA@0oKMY*7hnUB8!9vEj}d&Wp)&{Gq;
zz5qt7(iu;1Trn%DnozW4i17~7T{;jCuti81&*cGh3v1*NJ^1k9*Pe-gxR8meX9ta|
zX)WK$j7=Rtp9xY8lS<`Z3)t=mCsw92rC3_+Rld7>!M#7<dA-@cok!?v;9rSAS^nY;
z(vH;t$zS21O=-e!_vK=mTt^1<UI6m1a!4~CA_UDvB&H;|#s+&Qv?gt6r4ziRe1zBE
zO3(qhT+XZ!QqNZ@k#!zhG-{mYHhr0i{TjKxa^ex9Z1HE1{us$F?Zf%7>djv4vG^6y
zn_`fLm(euJDL3H4F&aPZP5^-l2@n;UW`fbEbq?W==0g-cua_SoMEx#PUH7oD)fEe&
ze;rq)JIi<@BB}AoQy^K*kH0DjIeeM|hT?gCE$nz0*1$tt!vy}?Pzd-!3d07wS#7KO
z4br}E2*StMR8sNW$2`$uh$R3ktwn$ZdNP46bVOM~%`3n2`vN;doy3<s8^;Z?VVvGv
zB6;+pl3+%{I5KN|rmx$7xiJ)bIvXm5u>Mg4ZbTEVjOBFNOawvApXAU8-^GD;>hWy2
zd(gYL+@kyQ3Azm8(+gK9<J9eW9&>4-9G!J<I6PjR_UI>go}?Fln##b)-6@`ErB&CE
zrMfJfH^fEPmTy1XF|^QV-@EM!?tCx-!6da7k;Rc=KD9J*GF$liDEf3U;k@w=7>Zc_
z607Ug!=RFdHIC%$08Ugfm%XB#G=9hiGr3iMm(yi)>yB5JBtc;Oe&taH6HT|IBJlq2
z8kQd3n5gY`vM1%KWpYK16Qg+w<n7U$n$3@&HY<LO`Fd;OR-2sa`G4x#xND9Z(E!B$
zFhOtGQOaKGOzKCi(zD~dUa*Is_6IzjDk_l|R6wZAPYzds;G!*$uW|49Ow=oGw1#73
zy60&|v;zf%A&k1GSbmT9yhTsGdv09HT48fB1abIW8d3aamfOE)W7(Vq5D|-jl4n$D
z3vm#B1_nLxOFrG*4>k`s5qn;zTg5s*PMH9)NlQ)dO$~m;=sOSqR0=}&-0sI=<OWqJ
zv;bj?!Ke(yUPOH5`dHFHWf#pAGbSiia(eHl;}xWMU`qdV;Bc(o{hM<Vy$L&bUZ`(<
z*6#&JcMa_EKr?`Z@MrtGq2b$|X8_*8VL{P(sJ!kakBqUfW80ku1KRTIsT0o*Uw}`r
zw2&fUoR&3x6I+t?e7Hdk(f|<>R@nB=o=Tt^0_7VhKgIMw%Mq!GT%035YG0uR|IM#-
zfks1kkZ7W%;6p)c{ns4TwuM8z9se(#$0YTSN<tiCWzo>N6E?iwe1dxFNYQ-76MOit
zP;3F_%9$&6O8c!QufgrwX7cvuJh}@i3+s6_`LEUZO=4lTAD)}5>SwNoXE!og|DFqo
zXLMVp(ym8s8mI*FHlKGh-g@p{*C=KKBwffiV(-;#oVJRxeVsi;haJ0^#pskYrjZaM
zGVgTD`Pm75`JKI*oGNrXjDyUaG-^(a9up?HAi^A#$o>R&9-wLpk$cMPhB4s`4wHR@
zGQ(SCLp=8>DbF91129V`oY1ET5dF?AZJMWlGw1swlM;xgjrlQYf~ZI1`cd=&1d;W(
zP;c7PI$XM+bp<`2<Sd?^$%VQ5DwD~z$OvkpQ_L?k3n#Vam26w}=wQs1hR7AmA4Qb4
z;Y|3AsO^{{OUh}>kop>|Cf(=@(HD3ZZcY9}K}5)jeT9P+1Z4KigfnOx$E$h8s_#}y
z`aamz6QmPB*2gd&cXY(<0qyKQN9ajp_rk#{4YWqLr<4zy9?E*s_vYa29x3y^(2WsM
zK_^GVKeBTcGWl)sl8%V>T1{U^-=M^g1(!lSx}CO@Bzjg^<-C;wQ7zNJ`?&Gof!wLr
zXj)JMF_BG9YO!yK4)3n2Cl=6RXf<6#q@*`9LfAB=Yfum6!}u4ZA#96|l+--XSd2JJ
zGvDK>NIyog#XIKnqBFyxhq+GV4BtWfkQSs*zl_dhXC+X}es)5ah<VAM#rq(?4zlN6
z%Uu{@!gHS}EH&jfmJ8?EXe)0SaXWLWRNP<`PWhpdCzvYWnb86v{+Mq&j?A9Is=2s|
zzrK_fm6sP0STz&$V|PF7(lk&J6Uzuo$PwNY^bW25RMUgc@>5E>j+e|4bI_7%7PdA2
za$&{S|AUg8Y1DeJd_>CQS;eE<mM{hF^4$3L3UM{M!!k%OhiSP)a5EUx)7XH?bjg(;
zp+`n(0WU?ck(Yz75ccm`R%bR=xr-$N7T>$Qq{I%ep{FkeUZ2Nn+;PLi(d@D#=YsJk
zV+#FSSFFKQ`$oOpOL0)G_sRWg25(*6v%Q;A{^$AKYoLMk(BGhMQ(?fRJ|avK2eU$c
zv^YX2e;YUjX@LE?wXSnM!=>M0*e<BVk3w)!wZ?9x&GgMM(<(ZiPVae|Ro={NZNBUS
z40}E25m3>wfAFVJTW-ftWnjzn<6Bx;X^+a;pBnw}S0epQN4&BcJ+X9wm01v&xX}wS
z^jbA>7PWW-W{o^%b%j60W(nKif4qiYWQNz;F0my2)QPs>#uU6T>kT<<wpG)!marHa
zLOm(Ce=+!Lt%+FLFXE!uYZ!xHtoO9#bkuZK<O4iTh&P&%!4jWYx|;i~w&K$cD+V1F
z<aaUGGN}dA--8hxC)vyihD^ZYOHN(EyNi$|eJ9fo&|Vx21#${8wQV)=pQ;gq0oZ@P
zw_${$>skQ*;Q~gQ;m3M_?My2+t;ubBuKY!Y={6EkO%r&I5)2cx20{1#%LSkl@M!tR
z^<7V!#`hmHhNzFVSna!k2|@dB9tHopM_j;j>(=d{f4K8ST}6)OW6%+i*XT1>wE(2D
z2;nT0q!m?n-P`g&1UcuNs2#mr5t0(Cxcre=`S5oJ#YF<J$Mf2L&&zuqx2dXGT-k%l
zCag<7G^{YoXbeHTlkdac1mQvrT(t0nj1o$<7@w>bsjKK7OP?G@eJN#IMR(eh?|y@9
zxJPZp_cc=N5p)|W);=fZ_sL3~@IHk9IxD?Rt;pMU(;-*o-EA>=_m3)Ab#qh?==uHq
zps;C!qqmWQt%xD$?-5C^i3^JK9d9oqd?~2BTci9&zfmm<;R4vJU;x7}BkTf^V=IwI
z!w1d^Z0#CV1pJy^hKdI<KP1j5e8DvXD_5S1+5=Ez`Rn%+8A~P?!-K<*<yOISCX7^O
zT4p`tZ4=1a69aC@{BRp8+S%2)r>olw6}#}hiX-wQJoke&aT?hhJ++p`o{gE=m=w1p
zS{%X?fAZNJ0H6ryCJUGS^3z}|#|XJ!Dk=KBD~sFkKAwH+muq)<(cY5Zisx~>g7~uU
zeK52TUB&&ApkBl(Wg3|V2jvqoGzgOFQmrK}1efpj6&+V=jQVg(>`4N!2bg;}i_HJs
zM)VUuR@wZa>*@p{dbtF`8Y4^YrV<tBvh8EI^hh}FhTPAToTbobG@{@>@MlpZ>Q|2q
zw_=GtR5*XAqa=Y~b#0UYr;*m!>CJ;kB))&XK@&sUKR?9=ha3tdT+7DGy6bZ{V<Mst
z_J*S^p#Y4#3e1o2{;4E`3&!KBx6($a!KrmJuIKN`XTs3)de*)IuLVN-QQr9Q&~=V?
zzFIb+^c<5tuER_*+F*tRcj3*=iYxHreAb*16}7i@QM*KM6*YGv+J#FK18|T0Jacqs
zymeBp4v2Q?1TVO3F}`bN4Zl?0QYH-kLL7NqWM`MXT4Fv_w})+C|4z!$U7@2V4VV2<
zQGc`8eg_s&SpI(919n#-E?`3&LKr^_I8W<N*L{H<QX=xaKKW|#`D5i@cZr6{!EigN
z)_it<%R@oQV)uO>(<dzd2h?{ceKW4Ubn08i>;v>pkiQ-ypDuG&tV=L2-S><dg=&*f
z25nho-HpJzsgzpJH4^;lvYZk4&y~5W4dZ70wW4f0$sTGfq(#KMBU44{BtPu%{9rae
zB{8s~0r6Q}CldRD9M6Hw7O^;C^h-E;_w!!z^U+pksch<sYrcxb!lFkzP8fw^TcPKI
z#QyJ*rW!Fe_XqpB?ge}KDHu4j=o_%n!TZof!-(Y7($-^E@77}uG|Gg1rT4B=)dt4<
z%93JEVe28W4_NvBANh8o7h!l=btg_g1bNJGDDoR4AO|7Ehb6w<uIphDD;T4Pc^K<^
z@?Pc^9>~48w3HexW~-588-3o<YjD?mp0++kg&JGtqG;OO>=IK)|LWwyhJ95KA)$K2
z>$mOVP5dQ&h^HrYy+}-HV+ae6;}_;%2#y;en{!*byJ5uU$D@v=1ETwMW8ir&HJ?sE
ztR552vD1%V68gqJQ|J_=U~%auJ$-zcw|k-=6X)uj&ypK}ViYkp<I8Ao?7TPxVY9B)
z#@p($miE#rxb9UocT?G7wz*|60Abvqr{xtML6%2c^jw28V3vR|r?KoyQ8yZVq^d6{
zSuumhmFviWzOZij$F``I8xiP6(CGIUNp!^P(Yx<y<xMSNqdij$<LoV|`~v9@(eS9L
z{iOJ9mJ~am@oDX)iLIQCK>)}hMAl3M6u!@8V_^U)ia?8`(*!Ifb+wNYCKGN|aS$oo
zAZF<*N40BZgm)@4M@v~#)r8x9s|XdlHGLGn5!mO46ZN}kc;a4h2AeX4fq`bn1$_3F
zBPy8YhK4FG-Y7p4Pmo|9e)oN%099v2W^T7Bao9)kYddAlt7*2OUlklS_b@`BdrX?&
zZERbj3?ipWsa;afnHWjgUvPk%(Eo7PQ&SMy&IA-|VorbxipvOMY;?=_iR(f)oCetA
zwgik5XwDMz5%s|4@~TpSB*R=(!)=>0=@}VWNdZq+wr!Uc@xa}Hk{0Q=oEJ7%!K(Rl
zl71W`<>AeWE2{>Bi7;^mm3f-HkwsQVZ}ek*sQhqnqmke95-7aR;-<62d-ily$+tyK
zXEnWJ5{&;~XM~zhOntP%b22ZsF;sopg5BLv$?~2#v>8!}w*P=zGy4I-a!hpMi)=t3
zG|6>=5=l+}MRzmJsaTvn#<%{sp=RPq<G4RVifby1WlR%(IW&d~wd$+FMDGJmXE`^i
z!{w6GsQ3A>mf$vi4j^Q>Uv)|zxXIzQ3rDs_u&T2H4=cvT(Y#kwvsJ>D$yz%*|3(fG
z$I6uwcXqCpDa%Z~BXz><{FF*BU6i}ST2P$#q4n~#<VGMa8piP_8RrcG!1tM2V!g08
z0UG&Y!2wegSGHO%v5yVu@B2Awj)z|t5*D~jZ1Uuj5p{1dOZ42-UZ1@Q(b-_gv{<$E
z1|_K}4^;XmvEf_YrMx7EgK?&TW6Qag6C`AC=0B6(&R#hpfC|40+|vBjbeb{Y>k5qd
zadm+W>j<Vhw@dVP;ptzftKo(c54s82L-J3i&aW<Dv&*>2U-!uMeg@Qq?VEIT3a~lf
z3uXDMxiYdq+0FOMemRkFeL$hkR@KENMyHn!`XlowRm*&5K>5A1&wvd(238@cDJGN#
zE_Zt;42rxI-g&ZY3fgX9SUtQE*PYXPSqWmB0MG!IzhafOaB^}Ae(i<Wb_2_zzY9<P
zPi-vUbuZN3!P@^GdlCirfH<t_e{O@`u81Ir^EZ+>7#79iFYuHm5$Chwz8@Un^@eZc
zt`M)C9i|!cI7&vpM_SWC0fw)k;pwhEmmkuZe*(Z>FG=|srgC~EAYI!+pNefCXT@uu
z@lu~?1d^!KiZCNdWZ`{sn^l){ev8kBjQhu?z=DPGaDp~pJ#9BXwRE9zBk<K+VL+G!
z3d|X5G||Q!UyURl&YB>ktxLRM33HUHt8?aPFqMxPxQybw{Y~WU>2v;<ZNIR+x_LI#
z;iX`-(Ef)sgfB_zYJGFV8=9S+A!ETtUG$&q(RT?f1c?@h1pF3YdhN?&8pb!ZvXvz{
z%f-tt`(9X{b{T@~)hxY7*z6idrE*>tph}u_ALPsmb-o{B_dcU+g=88(95*u}QH(`*
zx}gZN%HcZ`yjQ@(Sz>d>Z$Wnz(bpFNfH!0SbASG2HprJwMUlySqCp&_d&if&Plwp)
z^_bM7q=nnjSwqB&5u*biNxCh^YWxQYk2Q>pY^L}LIfaPVSGbw`-dvopb_$$@eA}_i
zrbCd-<m{P;kNp;}`o|gIFyFH1Ya#?z3O&Pu>+<C0Z%BFehq+vG$XnO@uzNZN+0u*=
z?=gjXVEqOCoGgy+;(WSkw4?>FIBetV8#v{t@pc{>mNg0ZZ}$|t@oCAdCg594WeTcP
zap!PMuM>)Xo8|G}Z+Hz7^!(+r^Snx36qKZ&++JXjaEf{~8m?6Z`KbMEIxfevO`Y$!
zoA<Eh_eBmHr>!&5#&x}@8kJ;Ql^A|Se#*uqwC_;66_5a~r&AHW>O*2C2tvP;0f?6<
z#%kQjS<GFUK>7I57C4>xI7#6HW%R|2ML=iP_U_0d;*Lb*6pg(LhOq0ml*pU1Z#^1G
z4=<3r75W~z`l!nUdB#7ccw5h|BPdZfCdOE5-itW~GRA*9X_5AWg_Cv7U&YXurvMzH
zy}A-EV2i^rkb#ohr51_tUd7Qr@QeUb``ySeI;o8PkX09Ian#xkh_Lmm+3A5Z<wNxe
z+VAny57fyznPCw#VxuczVVuhBcB!*<(LmMhdUjrywZx{I(n=;jZfd|XQh`5l>3i2<
zaQ_rZ<Wh~b^>j~ku%#hz)3zvBrP&T#;UvKe7K9QqNi;pFYBg9PGeXqsJBdU(*Z~)d
z6ihFJP>Ob<CwJ`<|1NErUSYjKr3lM1u53{7m<cOn{jb~EC2<+aT^@^#MAg2NcR%;N
zv^9(KT9_W;!LPz)+7CF1{Z<!~&0D_*x|gmfA5%G(p%>dy)LHN3nwzhLzFf735hh!S
zkkdZp_3lT#(qb5Y(0#yejq942G$~^kAtQRjc`|=<L&h;GlFVnkXbEIsuXy1UEekzJ
zFVwv`^<|nN0c7Urr{c8_LLP;LNP#MUPu>RRqo|DP#xQmyt+F*OrPF7@Lwo{@AJ>rn
z|6jfL{iDnO)O-K5V*)!>K=kHBm`kXt&Y6O3%n<Tolm4T>wV$7#`v4pv-aAW6&7(X&
z`$T5S!20xwQQnD~cSrX3{Uy&#HDjZ{b0f&1qF->0fq>rfk(4T(k0}#Hx!V_KDoOgJ
zSyjW}z03i+M561LAw^8S_u9}lX}M=ie?bL1hBbW4Uihy>yuS{sC3D_EK*EoCqb{fD
zW?|QQ$2@1UQM%i4))-jb%VTZ@B2J$1bBmOa_CFIQJj`H~s|f5USH*kF6U`ACbg>pQ
zZSw?fCq3m@FE?CTaL;(%=}qSm=zXdv%d_1mg$L6KZ5Zdn?{S(>p#1dxGv{bMjb3Ou
z0luDGc&IraVyJobXH=Ce1XUk}dDQ~rSLl>x-;Ve8^ybCKv!}IoXlRmB{VEq}bt$1j
zM)4IB4G0?I3hOVjqZ|`mM=u{NYguW$+N_CRb~^Q$^d=|ypR$h>F4w)LowASaI<GTu
zYm64@KC{0uv%H5ykVz_RZ#;2)(ycFs-!XHmcE6o*lX#k`EC;4HdYbQW3HBET*ceIA
zBm2Dj%+h){-T{0cm+8zc6byt{?z5^lz(n@6sP(Gs7f!HUW3HS`@4y+qou~}H;0o5R
z0W;g4&YhR3P`Fgr_`h8cm5l6HQ#}sWPfWmZg;^!nQznGy)HKVTA@w5hDBCf`VVD63
zkF|B@cuW<K6UL7zTNe&W0icLqr5Zv?Y4}Qv&lqY-TMr9BijjXdxNybsmFB#S#mlsH
zlX{GpGPOeZGPsK>9e@kma?qs%B*o(2LaExt07AqbTT=HU?wN%beri<GTI5ADGQN);
z@AlK)nZd;kRSIKd36ZEeK{MS}rpqKQd)wDzdmrOJYyhWLXs7yiiy|UmUI{wKTG2;6
zA+C1OpdR_!+(V2<`bI^P5J|MYPQY(o2Xf4&@;04k<iR1O;6zT3yv1%O0>96!o(_V4
z!Ek9B%FB{=qQ>JbOa9Vzj*F6a!WVEo{tSp`B}M};0b=z|Fszxc0qw3n^hsZIj^CC*
z050<ADy)`lB|q@2YG3yF|2DHai9y%QG&WzuZ;ld(x5`958K?EmkZ{Ho{eFL%v)dlx
zT-tU|eGd-nN_^*5C3qv>yZdl#aDx(Z{mX!(;NFS7B$v~8esZ$p$76Z6Sn8+R5M*<h
zQBmt^##}8#M#4lhy~Wesx~*LhhCP^ssY>0?t&NhLXFBZ7ycoRhYMsYP@&&6P?5IcU
zBQ96}y#FpN1oM$+VZIxH1+U8Hd9go+hDOkz#OQitXL$_{Jaz6vk~>rHi=ppI#taE!
zLw`3o&h58ywCpMq41(Wl6C>OR*(28rWWN?GdhB0utt7akQo{xD>`ugKZ{NF<Nr?yQ
z!4{9=Ws|c#IOdGv>Slt+)Yi}U4dp1Vmr?7uLbJWTUQ<!2;5VVv&lu_Slq``NMm#<R
zK^JUX=jyRf3NRRZAU~0HDpB<0HPR=VXg+`47PI0#U4pTq$Lsfuy(}?(Eld-K`B-}0
zS}Wq+hPsgy@@gbEq55(a(%CYJe#5264p$QajLqtQ3_?N+(7=j{QLYgpxo4T&4Q)#{
zdDvOgb2t8W`F7Q_)#Q7YU1};@uXp~%nZAFR0Dr!_CQXk}XQyzKm>^_Vj<g7Qb0`YC
zV>p(;i{Z!C_+*b}kFSptSPI|(a0B3I=<EBLHSSurSNA|0Q28^6-77{>>gekW>cX>p
z?S%y(5Fm%m?btW2SU39tG!1Yhq<wro2FmzKe%D#$A?u-0F(jlxXcYGA4wP~9?5>pn
zayx7qU5^C#KBnQQ8OHsF*B39qjWN+>XrLJY)P-uqwq3Q#_nC#%!@v0NRS>#cP5)-F
zr|L0-bLvJx-sDBmXLe5LF(Mqi#y+sd(0cv%2|Pm6lG@3uyR0_x>5rBTg5wEOi~#Q`
z^$cURK4k4_s#^uuN(q|7(Uog>y+@zL!$-{;#Pn`hQe=ngUnjvsfoN%Xi<h?mAp_^K
zn#`AOL;HZb`d32znm+hV^OOwKcGTTSoerDsvKq-rc|_H+oGM-v5czL6Tpgsp|5p1Z
zR$ikM87>0CZ$82l`E-6I32v_D67xP1^kwyw^~H9D8A?SkXg|JFYzmlu?_98m!`L~w
zw&}0w!$W_=Iy}}Cm@qmZsgw1Zo*$FveylW%SpCk`?xAe(ASe4F;&h$g#@gVLCmKS^
z4!`9yCm0cpzbfl@YBJi;sc}_V5Ist}0$^^b=gZZ84m)XKeCVl8`|0{q-ekp11cm6`
z;dhws`QzqgDe`84{M6c>dhllJ6YA!2Es{bDmBLO1JgMW?FUQ6UGZLOr#GdGY)N3w)
zl!fp4OyIS#&Br<X&rh=}T9msK^dBQs2N;je9tRgFwsFmH4)#X(pv4V1P!sp_H+Tjm
zCAc@d3}5v1Fx-B4jW4$@Hqf414y6!37f!p7BKqE)KDDKda$N?9C!a$OV0W@ouRbe<
zyI+4XkDe?&C3OwT^)!F^g$$5*o*_TCnYypnwklTq1q+xOS=;!FyL+(`>LEB5Jv^+6
z7F8H3=&iZUps#QD+M?_8QpymzZvv>T*(tnQClzz&{~4DNe0leFYdqb#LZ1D6e}8-7
z+r~^fXV>BeZfUXlupVa6&~)4L2xTIX3&ObFN0KntncEAu>ov6?2jd-0ed<M<gpZi?
zKvzC*WQil14UBR&^;Fky&*n!Ee4zdw5!NA**l!$hu}xBtfXQ2Qnu8$#c=@+@bVcoM
zys2NP5h-~BJ67x^OJ$&isKA&5>{%N;E>@ov+5-MJ>CTHpVEU$y-H-2h7}{#dzX=do
z9rvYDKD(Q46T8lq-bYvszga7PX{@`!T+c>cTK|fF6|!)qk3Oh>UX@ds>ZQ2yYht)t
zaD1ouZ*xyi3xroJ?4GV?RAuXvq_A+z-QVN}C~TW;l){NZ{7w&>YW;xL_0LU5TXXa2
zkf_D&>z$e9%!4)8fhyUa^I~;axp@Tp>G=%gsf^21JJ-LT$MM*k-o`IssdvDqTBE(`
z)F#o!%H>-pOy3&}bUo&u)YIhj1ngOTN2rxgAF`?7fI$RcX4T`(!5mcFYns4p*ET=g
z7MxHEy$-Xk##-*vHjS*i=vDqWjgs&U<IjEq5KmA_g^5+rIYN5%!CZT{qSUZDJ^!QB
z^`!9ts6qI<wrL202Btb%e2vv^tfaFvZ3)S4e%TrnZ&55V-&ajs^i2t7MNs*9jW9iB
z^Kh#^|D)Q_@_|I@i3&XuY;j#O^nSx`7-`sFk_(IEuZ^sm%H7^G|B$Ge)8yQz;*j?S
z{bAZYy}g4?(R=DmeA2g{t{vg<t;df0eCPOVgN+qsEtOA8PImE6z{P~9rL8YMgZ=aE
z@doZk5Q?;Ewa0~zj>FiCxpidm-Oy`hS?mF@yTbzBUmB2$JG_OAZwHcDsC?0f@^|4C
zT;sTp`UquOYsPy$#g(1%lHK|HXLButt?<AHtoZ1wdLHK&TzTKUvI77_9aZ^0ECA1|
zsqt}3JuPLBy{Ldc;qy<?A%;>(SO?gePX}+*<n_#tE~I_A*Xp}CeC!{m!`F5j8QFwB
znAxL!Q<O*SEq4=km7NDu>^bgaYDus)`30%IR6l=N+UmMJiD12>C7?Ov?CTD$w;YW^
zVe2Tpw|*MOT>I;=@42iyOc?_V8cyOxLa!BqA#aqidRFK&D0ed0ysSm$<QP2JIVH2I
zx*B%}ID35i!htc25sVAd33X@J4$*ify53Z@`$$HHx0d;Dke&Uc?k5>yIP7MpNFCWm
zzSeUAp&`bh-!AVjZ9Pvhc)PYduLt?s2Um6BT;;n=t&`sUK1mDxi1d?OmKhG?JrD}8
zz8b0SO?e?#!`lDw4hccT)rqLo?{JxY5k(+;Fs;H-sU1cfM!2%O*Td*`JUD!tOOWR^
z;vtYo!2|(|`D1utW>IX~hTlt(d`1_35Z0~tLX42N$<OYYJx#exEG(cz?QUU1Jf{;9
z_Tf#C7#UB%n;=@V`8$ybq6mGHOi!Q4Sk-BP5}KN?U-G+F+rWNn>SzX-L;2JHQ$T8L
z0y(eUJO)iPUkE^NpM*n`nr@Uy3f#Vn&qRo-+V~`3>q8wQ?c@IzOWPu}u?%3`pD-kP
zivqzYw)*wckSMR=lJuyAkaDkI-r;D)`{rmqVLB;S`_*iOR&+nZob!9Iicn70JmGq-
zo4-;y|B&*vn&=(~7)49C{fb3ON<jpl#P$U@Q-lARc#FMbI=?N2g~AL*b!kb>ZXuvb
z84r&4>&=v@*;>Yq7YHXE&8=@TPF%!r6mH7ngKI6Nsub?;!*WJAdL8RG0+Q%YoJ#hK
z4KGZIz?KxVV)@nAft3dhj0qv<O5)&23ks)37256Jw_4~l=4O$%HZC5|`T6}Wb?Fnm
zme6YhR4<{6lq3bTJTP93uQP%nlMA~tY^gP8l0>QNppVE<%Fh-f5Z(L53ul*Lv);L5
z8{hKdm@gtBAMw6s2ax9d<mi#$jRp1PJz8L?IW}Fl+0bmD9*LJ!V5{+sc)I)9>3Mr#
zqX|Gu`V<`pSQ|*3p_i@=&l8zdm1+xml9Po0@G^WldFK2U$Dl$QfLk>5(gb>9v<NpB
zFZPbD%Gi4xaK`BU7CMrgbVuONsZwZX%;y5-Cuw3V^EKfL%74vxdkzYzwb*%3AFy4m
zwP{eYxQRqL>yZG+e)x#8g}M86d)oi<Bzp||xg*&D0f^&kX?^F7t?@N^iZ=%Oml2A+
zKOQ_0dV4)^V4~2#H>MO1oU-EdX|pwM^M^(=Rhu`j<dX*5;)FkLLjzEs$22yF=&mZw
zMh2O*K0~}Qj7b7V##j`xoY$X@b8w7U0OvMb4&K8VbPNw)Lkfl71N#<{^=cR}Gs_YT
zajS@?*;C?HpQA>s!g`<lOK=w2yVl5h3e5f1grM!7fA;$_hibd_MypoY5Pf^Ri17(C
zUWA7Ru(4-RU4$4WV!+Ch5TU9>C+X>KUn^81yWsR1km5h4_ocoq!ZB;+JJ{oCC}zJ$
zy1sPnV7Q7K%?w6h)O-_BgKYik-!~~6jQZpB^z`T88aI}@y1LQF>%$S$GmpO=WGiOx
z3g8#Onlk@oWn~4pw7BT1L_|DPi}<M<`ktMw-RdZ8GNi8ms}Yo_0tknXHoOXUHF@|@
ztc1=6_|quzn>=BoA+r4#{nv+Avz%fZ3ES!J-j^5mNaU4;%L(WmzMGCZ-KHR($TBaw
zfG%=+uiYo`{VbPU$}?Gk5YczaNFT3vgXlznzLX5WMT*A^kcRi-cRch`fy=)wSYI~E
z45D!ohF7N1y5vBthV2a5Sx%9yIP32M=b=vpScICznVY{Hts6Yn98-QO(%^e0^HmQH
zRT+brCh$neHZeF+zv3m32{8xCz|y@@cT#rxpl)+n$>`$wfu)`6GskVpvkMJ%v($pr
z_q!$>z-@EcoeXVQSCh~Fo3a3u`*XFH%ND>Nqnqu7L%$dmt*NWWgp-Y=_H2g5yWyU%
zW=c*KqFcd~Tl8N*#;q>OgUuvpv~2A!u^s%tH<~I4fRER~rMKy7A@foE6RGK)_ZB{k
z++eCn+5$3VCFStKPoNlH8N8nO2)8H1zEISp*PSNY`j`cy)cagdS70Umn&?)yi;niQ
zyu}=qm%~SL!R)`w_ew?EX(hl6eLg>gfwMHI0-)DrwfO$_(W1%UVv}`v>V(;=WjI9v
zK#E6~RQ3}k2;pv&aMp|U;rDj{_#ZT&)6x#@C#!!Y8+=@Mb=!uW*pG8Wj;`9<yh4&5
zu<37|X}BG00to519nnF(J+yu8%}KqH>--4GBQhqr?tjB`c>9LE<)*Cc8(yM=DlSzE
z+Z<7fphQ3m`xUlEzX!wT?a8tGsV8|BI+g4XvDY)U$(&&;Z#vV3pr(_yBRZ0yx1rLG
zf%_58^7WW+PV}^vLN1!uBM}TdC(E4;G}tbi5(78m$uoxm4VO`wsC3cu7RwM4;GY%t
zou#Gj%a6-+=9g+M1oZEdO05NdM{O;TCT7ZvMDz?o@{j(gM8LuTW`gpr$jso;5<}OY
zgN(htM$+O|ROtWs34C^Cb9hhP$G<OmbZPa2m5*8)CZHJN=wz)rxEUbiQBYir1EiAW
zlg6SkY`_8Z^g8p(tj|4w?T7^i%d<$Ew50-)Mx~3tuZyNxnFIf^Rc&BaVD-(1ftYRs
zrs$D_PsFl+G+r|>3&H{hpSy<gb}fI$1Ir3B7`vg4vdn_lu&Z!lFdq%#*>MN@CfYBT
zQu!8k>*(7LZNfN(TH$(Of1i;g(7S3YHBB(L5*uy(zSgZ72;F}~@r8wSn6z@Zd9AvV
z_j~qOf5~Wb=)mE{`m0wI6_(Rv?Cj8Y#KcGwO)p}8!;U~wO}cHdY+us@mdOT4axz<5
z<)sU`{h?7UUM4^u5g`#HK%26*wVeizjp53PxlDF;R#sXofFnX!PRQ9}RRwe{(xzNQ
z+SJq(_WaV)lVh6>#Ux*1+UKD&4<6Vq2V2!eAuB+Lg^CY2so(9hxVylab&G9?47Q$<
zz6!m<xCHM9%hTd@FSyzJ)IG5e|36%S7dWi$9$Y+Ee0Z^PRJ0VVZ|lc?f@##Da4F|R
z7rclya!^__;?FPFb3hOTfR004B3aWAQScS<2jTJ3nt<m8V~!l-T)~$MM8Kab_op3B
zh@POOPUdA6I6GD+FzCZE2Cm<R(=84J{lKP-n{dQd0X;dwef@MIbEzv>&Rt>{SXV;h
zwG{MB-vSG;PgupTJ>>={MLksw;E*od=HCQ7p_$OaBv27z7zo<1t)=aoh!a>SU~1wR
z8K2`lcH;Y}0Nd`ec+fZ4e%BoybHeUgM4r!CSS1J#RxL(vW=Q64XB}zRO5iq!n|*G=
zF5PWuA2rSrj8I&9%uQJ7|5q|#+D5RgyD@Sg#V;5IDb#KIhRl*VO~DU)JzUvz?{)N~
zW7IKdwK0bD%Zbjf$<Rl@ettwRvi?|ST>4tFCh(&$zH#nMmb3e@gGzs-y$a42$s2!Y
z=l9q@v#jAV$O;3%6$`Z^Aww`95H`Ni8N1g3J45<bLs0Pi9Qj+bt)-LU&G5zZWzC_c
zg12YJ{Z)wW>z&*?aPJwi+o~MpxFQ=-YW|qcth)Ur5&=XXj8nx4UUx7*y~kif%|Mfi
zM%dbiNn>cXY5hRLV%zx2CqOT_UXM4SVH<<TjR0s1h)O04^mNv?oj;4g@r~e+eY^8K
z@`e=A4LiIjCYm{}XM)RDifzfh#j<(APBE33YP?;79%T(WZXnBx@+9qa=i31vxVbO_
zT}uneXqnob`d=LUuJKLb>Kc?3v$;x|x%izH!?eFFfXX#kYmT4$|B?yZNJ$E*+LHdM
zC32GQKy-5Z4Cwf3SC{+JcG^65690l;jDUbj$cE^#{|r_g#FQdwmZ76LUOJQa_k*T8
zDm`2%bidrhi-Tzl_i3QQWu?mZ$DT3$w{2pSMeWHQEV!ZXYx8Udjdi!=9latO7y?n<
zW<9^gK1an5g$E1F(gP_C3PcowyHVDurM*_>r5JJ$8BP`StMBt=y0Ga+{Be-%^n%^X
z3;p}EA1L6B$ghvKYRaw=M_287|9CgBt^f|jmR<ad(6T(wqA5)zGO@ScV%;}mjPHdI
zn?1~le<}pmLy89@Rm8kMf0kXbxB-~W%J&l6k`Dwc+dAH*+zXJuT`B<p$OJt1^!{JO
z)bunoo)*DMw1?HzUv6NmCJJzAc-R3RyIr46KN{l<FP)v8ZE3eVmtg=t&-6bnbzALs
z&H$It25{Gptqyyv+3aLKXuEZ(oL$z~08W3QQ|KT+6Vw#<MZP+L;c5s?N-D)W(Cg>6
zn__qDx%FG$b5#}3e&x>+Ja#)D|Jk9JxDm^C*QJ2Nx-HO$qQ0M-sL@Du75n}vZk$4^
z$*v#Al|XpOmTuI4-yGVSm9@CZRs7N%P&5RC@saKz&Fd~&VXK9$g~6hFFhDi~=`Mw^
zZsrsLg{-%TWKk_MH7Q+mN+~;akGBX+<Dv14XH;FSe0jSQTv}(egzIGeP9o(Wz_T@>
zROPx;m+iB-SnRB9qi6CWLE5gL@H{Rq9&*;)^}ePxJdWGaua?qp5Yc8=1)56Dhm_TQ
zl){q~PraP550p3mX)N)%#prG;D>?!}{!#%A`m65N<KejyHDxnB`t=r*_e>%$TwFZq
zCSeMzt2RkLzi*VIn*>_7y2jIS4B<(U3x-&XOkH2u=Pr<)&e6|#&t&2w=Sy)a6t8r8
zk5KZHW;Y;(`8`LR@90pj%W&yjX2fhKXM|#{HCFENhp_;_yqNc6-HWmcGbuAVEe)LU
z>JH|Dy1l&by|_C%(K=QBRT2MU6pD?#mlX4!y$&FH-G?+bVpRG*M2iGi)z#}Md=UWR
z4_VmhTGIvGuytMWUccR}LCSNaFtLXHeQkFi>6xNu!HI>|{z+su><GYdbOq%^C;u21
zecXYMC~MuiP#5E=%cLgheq1^8YtGcrs&R(2VMMunmY3gt!e9(DtjxTLuCpAL4_7g!
zVMUspc$*M}gdlN&TK`KS8E`<?y!~6%s)2Hy1ZZd4Tp5xZSxGbPoD{@4rOEB-O2i$C
zonqIo`1wR}1xNDTJOIvi)VG1oj!#DHDahTZKZ`0Y^gD)rp_F-y@>!p7C#KGis4e6y
zgN!-GsrjF3gIPkF{F#N!7OTHBU8Zvb)!CC1vkeBqD^Uwp$eylGSW?5#ol3ZipY_k=
zic4`HGo2oD<qaj_z0I~-uh-R~JtI@0P`DoXlP71T5w8aLwx1EG;;*zl;Uu=V#iGLt
zS0Fwn8>O|aXeVwDfBxmi>+Z;Ff_cPat^8E%Z-IN8eJK9x+SvmV<Z|d_mv9NXwxW98
zR2UNniF3cp0&35~-S9CSKbYZJNGs&ABk_ci#)XB^lR@w&Bmw?ZPKn|D1eVtcs2G%T
zTtvM#0OW;*1#!%q(Xp|z0FCM$lqFp^-Tq&$Sk``fF`V=WZY$OtpF%x$SDRf?JhPH!
zT95#hk=<ILs2>6%1gY)QGQt}F;~gY6sj$((WLJc1v6dJIg-Gm%D{EhIUNh>s(0LkO
zfUW7UV@nd#30=kK>m6^;H~rO7F+C^VAEXEllp+=mpBQ4~ea<+5?~2W^_+=8e39HcV
z6#<gpD595xfUx#dXrx%zzYw&cNO(d`9j{;U-4M@jd<;B}owuU-KqB0I(%#`DkJdF|
zojH>h5dI%Ac`1MHBhlYeQ1k6K8>RDZmHUUmiLD<DmG;4porim+P)bYd!aJ2Ds|)f^
zp=m8<u`n4RE2B^UD_>6WBJbWRe3=)CV|mJ!rgKsJ`!GK8k9I?oeNTq<SOom}9N{?F
zR(D1Yb;C7nc^Lr4aq;GA;0e^gOR>@W)DJb}d$I?%<iRIf(fcf(c(F&}-r+^T`Jzsw
zmXvUF3`iX9d!B0m!m+kVA%w_@b^lQR7kyng_x-*>rU=itkI&k{0jjV!;bsPdaX06r
zNFi4O4M-)92L^N|HU1ZSZygoY-#&_N8UbmPjsYa3J0wIxx};PDq@=rRkdQ{YyIZ=u
z8$?2elm_W$h`af|?|Xi~bIx7s-nH)i^RO0+VP?<lc{)GOb1HT8S@B%c(D<AvU1ORo
z%0Szl)>ZFeg%-Ngn@0s6;TdLB>M_ETAcRo|l4Q@eQY-LQS&4;BFAbce8WY&BYX#!i
zph49^pS6eQwaMhudp?uk&Y=73g~RIKyp-Ryo(eY|Q?0^`BKGZYmk_5Ev2Mq3=cRzm
zor~{+&*d?mSTeB+?uCbjq6JC?Po?SKQvw_V?XFa6cxg$KyN)OoadewkOLv1mgIo8e
zx)VR>+)F_E=PLK8KV`IkUQ8{Dd87XE$#t6+MR|UK%9$h=rQ)xt)y&NuXCMQqMR}$#
z|5@Y*{+1&0{p(GQibB7D#;Kv=DI*h4a~V!Ho1SC!P86r?D<<Keto$M52&d-xN&H&g
zVO<DbM>&VCemc6(Q1Cp{oW5YoMl-I&MXYKxyY}d$h%UJNMGG{rL|&m7sL^>BM>_~e
zvCenB2u6jz`Yj<j8+Mki-tevi8=QU64;=c1;-%Wk2u5qz+863(`hJ2-ln`-;P8dTO
zm#cN&m~SmpS@vOS%uqZ@Vfc~wH-aSonXb}T|2*qTrY7M98lqM0m#mamX|-sP51u}2
zgI;ZZT%J;>Ypcp0d`d*?^vP`)UAuw#Gs770iwg?cC4eys__{J&j7DYjP6K6W?<)?S
z(JV<szS;e|J5&ARJTUrg0{vt}fZxQ}c<~8!aE%8$=5w~xC;BEe`+)|?>DAzHt0ywi
z1*EjiEAGVosQMaCeia8MgafFq+|*EgJEgZ#3tgd^*x~G?Dao{Lw5Xpr<gtK`<Lukh
zlS|%v=xb#+n5||D?<iQ%sX%m{e(+X#{pk(Y;Knz!dfRqGyU@Izo*%32JQVvj6^l2Q
z!!jB0`+GyhFHTL-_5`@L+<tl=>%0y>0fuWet!cjPNPqZqLNOuhynxMoyWXMqK$hqM
zl3xp#@ZTv-`X3ca<nRnUnwc4emjo`O<??<pk!?@nV=fLX8pdr@j%vQXUG}fOxqnj5
zq&%%xxi)va`O>wA<8{qMGu4}~x~KU<5EP4m@DDKEhK=Xd2Bpb(@y3MkKg9Dt%+7sZ
zKW`V$tT*Hf^Yg#>0X=@R+(<|Jbk!kjl@98gKc2k`Uy?}0h$3NZeUIfTQQ`0z8G^sH
z^r0@Vcz2oa!RfPP5Dzn9@Ege%W6Uk<M(VTqdYJz~yBMs4Wwe$#M-!Rzc@CDbqipAy
zq*ZZaGt0Im+d`KB2cwZNk}!Hh(CcTrofQ4gcSxgqId)5{-zU03#S)?D(mzYgH!qC#
zvxhCLx15)^VKKfEZ3+@<Sj)Ump6Pd0Zt{h(4YuzqSFkpdiqqhdZY+>&DmWqEr=#K)
z$q@9>n`SHmnVk=9&L>7l=(>_rwY4fYhjCHb!mb%DruLZ7y!d7oufMqnSKQ)A0e$QO
zrXBZ>d5&a~6oky02K}|oyM9W1HEA~H8xBnku`M5w+wH!s%M2&Gl(eu*K;L;^?QDD)
z1$f(?`a1R_G?)&)%;O5FQZD;pyrbFgj4*)OX@2|H=fH^>rk=HJR*1fIwgwhINdRYZ
zb8Q5mY`;9y_4enl(pUM<ZDRYs=B4~FfG<g1ir(HfOKT209ACI!Fz~02Sh$=QCuw?z
zPdhWw-&c6kC&N-L5cK!s7d1!mCEkba4!jHU#f8a&Rjr4SUfMB?$cCrFnX`kL9;J76
zP4cJ`-;0o5hPdsQ%XFOWMb_;%4?ZMOhperfKehavnvN@KYB%>|O#eMX2U2#jwut|i
zx4rgt&5EkcT@b{1BeiYV3MX%h$qsSy%{No83W=@(Z&MCEilz9V^@PC9Z`)y<lQv%L
z>FDw<*uF`val`fR8j(mf>=-H1AL0_?``a8Pgk`z5yD!tonphxxv(dr1ul#6$<>S@}
zp^g9>Tt&&{;K_V$PngT?te(%^c?8kzTNL>cN0t)npsQC30~+XcGd#3PW1Yh@`%Dqf
zox3CMzTMv)E8QCE99{C{H>_Mt(qGpn!E~i^xf#C~zh#M@`3yI5UBy6bmsnvs{=krr
zLX}`V{j{%`ME&8q|B#(b_oFx%1f))UT>Qw}R@1PuKiL});1Nj~`Juta+88`vd(D<o
zf&TGq4M~~%M?>*$afb+dqWhuKjK_06q)4)udV1Ffr94Utuzc4H#t(~B+9~vV=$}$v
zO6s|~ox8Nx{x0=8sGYY?qg+=KAXQ?(nC_@3E{^7n+o=Cw+)C%CcZmO%@9T38P@9qd
zM)3p45eMvP7X9_^={6CwCdq#-Fa)!6to4P;VblfGxwA7SWI<es(u{sF+JCbsbqFg|
zIGq!X{gUB=h{;4~mPy`W`NnnxT^Zlem|20tGz8D#8$D?kj)k{_tF3%yq-B=VwN2CZ
z(M=@4g1ok+3A@8<@n$2pyBJ4=)i7SXk34Vw<)(YSB5>+NK^mO?R!HybmHD$<TQCPf
zaDQnSg5mw)z5NW?lixZT^jnJT6=}L|YpOuv>8{$VlhRqOvf-6WVlgOvm_}ss*G`ES
zVoydZkOyA^EPOmEQnA?A5U8888Xps(2su$_inS+p?PM>?L%o^L8tjl_c@e!U&Zez4
zivl_xtQ8lJ#)K!Ov?+{@1hpo<y0^(_eQHsh!zv?Pnk#zKvF`i|7rr9qu^yM9NbWLO
zpI)MO{m{kN8bLhod;I+?icZO=o_@J(->9dOIH>W-tJr<iJ+rA8Ta#!n>XBTD*V+=+
zMp@8^$v^lc(d0BMxYCR38BDy-Sj-BnC=xZ!WM)|6P2B$(=Inu(uyZ5mPOYX{9R$V3
z6{*mk8sPd`U)0F@r#gA)M68d0DD<Pw9d4WFGJ&?bmt6C0`d&`$UQAl8@xhsFik)({
z%msGt0hgAN5?8<=#;}Fuehl1++TB=O3JOl-Y6AxmgHv^-BCBY!DMqkNC_kvGW=%^^
z;mLn3E@nPn{YHfi?xA$yI(-9BQoeGv)i8}r!A7PjEtWEh!aeLCWJM>SCpq4GBNtC~
z7+MncdD4Ke-x13bJKzJpmDu{kHMs~rL+jh4e$i#uOk51S0YhYVtrKnO_N$zb&s<;u
zx=WSjYgE!3pyT(!SCL_1%XP-fqpgQl@6*dRx1B`SJ16uAH6wQUNO(QJ1?IQRMq+Yf
zM$6<-(h?J+)zGPLW_-u`i19B_nt5cCeacgedRtjFtN{)c-jQb9hfJFVgX2pBSefJv
z6|nXi_l~NPrA8=s`z4l7aNSQllnmgCu0?U$59dU;+RF}uGHIwXUt*QP{9St3!N47E
zM=#ii0p(Gn%TVbRPqf+bBWZq`$+eVz6S8ak{_AhU;Ovc)P<LTPW7}Ki4o!~g@p`h8
zJ1haauk@%$LFEC-N}jb!*%o)v6C<Y$e{K=J-A;{ahax;<LHi#2O1*&kGx8Q1D{yja
z6RkTjOc;oF+uB>g8O<mWGK^1R>7gmw_^bnY*y<^gkJY%?{rpArE$+URl4&In@P|iS
z&~++&MO<h*aTVpBu)dz7d?;UaZ&?3VK#ggJy)^^5B-sAI)iyQk^=B}GlJ-U2Laf-;
ztQBnfw)0|fxVzdC?AswIhnky4XqP;d->VHe3dd8-*U>y3L4kyJUq`)<CquaNxZs#u
zq+wdm8yE6@IH#2A3tl;Yu2b!rN|Jq9Z&`JR?`3=r2RI5d6QmGwt}wC6|K8!-+j=&S
zE>{Nlr3QP;kN6;;60CmsLougEB0>^win>U{D3FN3qVOY#bV9`b%W7AI+*iv*ALQp)
zRQ@a}US<l-`0s1LkT5N)tc+C;{cv1w_Pj7ELejD8>~b54+WMUl4>L0}Pr=mAr*`kw
zhqh{Ubi0kOD43egXNf!h0s5#C4wX6Y=%4xLO1PsB66u^e98Cm^=v{f@0ouEDQUTY>
z)J@ppU1kk~RU2OemE?IGV^?KvMqy&xvHjS16VWCw%*~xX-<2b|8n5oYbH4Ndv~Yyy
zeX0*d5X2qig->qIBN`1uVU1gJgYj`lr#F_NzkeX9{1|vYaN6~KMzulF%F1WSIrBIH
znE2UmU6x>BL?9_)A@rB^bHWY0iZ1e(XTh)IFLNCZw@5$&!PVN)vmE)GL)0VPWmsWU
z0HsI7h;x6@o_r5a$-y((s=FQd3#U?!YzaIhzpH*y^?>QRFZfTJ)bFpltumIbGt$s}
z$%iHUC}?=aZV0E9h@ED1SOK<ue;T{}plId{oy36av5KUgAl|7Kadc1Bp^48PCa;<r
zEP5{}_#?@jtmhSKS8&n$pCk@rsrzak_5`9d7*<D=zvd6?aAj*5cyEt9{<B!W;={P?
z?wqJ>%#~k;WJuIYLJ{<h6-BC&Fc#%T<qU@CJdGxV1yZL&rG+rLP|R7Rw}n65zWu20
zsT_^3*{4i-Rm6$Pkk&+*u~MA#mMdG+L0X8hQxF+r+#LIlUGhz4eoQZlJnDh)1vBF0
z{2(ng!S^rJdz`QknPjI9Jv?Hm0HhQl2s+pL1kGAUrayVh>yJ@UZ|#lG-w+Guk?w6t
zI%SuAf)BP^Gs1UKko|KPh@)W$>*mR22pvI^3W-`e7cJ9U5^HZJ|Ky@mBq+FT<)mF5
ztyEUuzq%eubXRdE8<ozzw`VlJYgETo?WoL%i6N*Z#^*-+*^kw|9iSxO>NVL;3N#%w
z?V--?U)abqCB((WmFaJifw?YPUh!^XVduY+z?O~`{BQL*YPx_OBAZs~2MPOi|JM45
z6~(GA$w81EYDQ;`A6{@W>}V6uv7{;CDCTuv!)dT@trT=rovVAqi%DvoUQ!V|+BIQQ
z5iGljSk+o>T(r7cO!selI?1tvc3Oi2lb1mGm0PyceKJlR%%&lWdfr+L<)~e9Uay_A
z$;honI!z)_j_2Lzr=uOexQz#5U7i7Z&XvZElud~(Jw$P9IOU#)__N?I!P&yj-htz3
zVuaR_2h*EGluG?S1V4OHyA*L2_>I2AVX3xMXz}M;V3yQ0$|astYCJ4G(YkkGs7fok
zS}E&os(c6rj`h->mr)@5UzwOMu8;0ujjpIy3!NRd=9o&<h9<`%+MoK4Gu_kvO)MfN
z%SHC8SP3dS6PX+yqV&_!#7Z{JUuSt+*p^KeGl-u1r?mQ0P0~eGOv}8Uzh=rlYG}|O
zCO5CpZwp|hik|SP4XwB=7hy?7kZ9$pFsk|4ALT!dS50fKL|4jgJ~UUaPOn14f9)AZ
z(+-xMM0>RkuRV(+_P#L@hbF}sE7u5lIKEwnl8_r?Z`zSjUUA3dz49iC!d}@N^&m@G
z4aZiv8SKNY%)xy-Ao=`VHE<AgNlQn;ty)T(X|TWW^jV07xw%bA5ewDxrO#(>eiUet
z>BN)r-T1g-^g3{LdsLKT5FRD?P^;JkmZ6vAU(NoKV<j}(gA4{el1mq#J=TN=F(yM{
zS9QiwCuv9?o#N^Jv$U~+UecG2y2{f7F$pX>_T(K3-?}Tqla>*VWWlovvQ}1BEfN;X
zZ(`3nv)+8`+HuUE2V1_P!4Zm`@}6j%cWU1#pE*&H$<9d4SpK!1HAK0@j~Gd_H<VoM
zk$hX=Fza#4>~>iy^o?#TOz91>ZZ*a`ZmXYU^TwBLC|$@WN(YdevLcp;z1V_u_s?U$
zii&=I3zH<Extn2KbiF+ndpN3}Oisze*;Gi%Hr)L+Al;-cNru7C!?$|K-iBG=_<#>k
zTQU_-Q-%;)KiR4E{r)bh7F{}AV2=ZeEk@=`N0&qx!uC~=r~Ip-Q4pB(_pE+tDU`;6
z13jCbw&^Cj#phz<GA*3rQZZtsM4ZSbB^uo!&RGg1`7BuJXF@LtmNTTw4xL69H)L+3
zt<!WT<hgx6FE`N`nsmQF!qe@K?nc5S#E`;J#a=r2_K=@Y{44uc%(U?4Xj*NLi26-2
zgC^opK06s9F9#o97a9~0AAxW@=e1gHyBw$+C&Ib;O5KP)`NLQy?n{t!AlB#_zpv%|
zG2KWchVQ%~-`g&NIfK_eHbVJGVVnM!l|j%0bez$mH^&naEFUY^3`>))$8syik+Zis
z>HRA0`?#~X&6b`{pyO-LMy*Z1iyxP(u_`IS*^(~0CJ<+}cfo*g39n{vP7|n>KbX?^
z2NAj-(4C*39}1C2umaMJAImek$Vtq6V^3&k{PXIT%5|GJ>uPEU^X7Uuf&*2+1K%4X
zTL{|HUHxCRwUs(#KqMdKw}xM0J`-l;8|T*4WO#?$Ba@&kv85T$`gd2<aKhN-$(!xv
z`pW%JS-}|y1C{n{1=Ed~fTbksm|1{HLTByVmnz{V+)C*#%18twcpsu#fg@H*-VfRK
zwZxov8i#VlhZ!qPdxO_v`YM|t63m30`bSk*j<BL-KkJ|fttcfCyvsKZfg!^&AB#N`
z#3x2HQ_k(_WMqYYnAv4SQFhO{><Icrlepw!brwbKzeNj#dDX?ooj-v(bj)GuW39x+
zY>(KT$4x(k)F}>IhbLPVs4(Ko2)Z^?H7-2}Y(xacPKr6<wG^#u%ifQrK9CEw><!q(
z#6!_{J407UZF-5Gf4n+A$O(9!#?9!?o3U9J^eqwC;>ZSvMFjkE(!;I$o~|V58oZ5Q
z^6^ggxC7@8kK#h-%WC>U!`Ifb!hEF^>&KiDp~5W}2dIabNpo_ZGRJe(?Xerq-aBBs
zO7G5J2D|}j1}>}aorpziG3zS~mEZdpZIkmmO-sua(-!qG0=<s6h!FRrq=$|Xb=>~W
zX1le%QBJ=4{9hdG!LmGb!7q${p_g#>qD*UMkfGlDAEdVayhCqg2-!wZN;BE`n<I22
z+_aYbAoqdFP9IzH$elJc$k1dXk=8ILIwtQ;<f+10B+4HFKjDz?T}K|Szqcuw9s@d&
z7&9_LjF-}c*q)vm@V4agzf;@Ff?viDRUBJsYCD~eI1EP(J=82U<v2}uNxFWs9=tIL
zTK_PD2(%&qblR6_+ve{jin-!#QTOaP-4dwt7Ek>*>z0vM+PRJ8k@vP-!-l<Y70GtQ
zD0$82mVsD!U9M;9>lHG36|Teb!J;Q&+3#YTG#Qojz(l*3<Jrv5VYpsu;iy6tyBK}F
zBIMq1+hb7nnK{lXGvuyZ=adR<d)(Ks%iS%uB~IQj!Mxs9MK0J-a?;Nv?>pPoEopVZ
z;skDcpS7c0=m{0d(HBI;n2;4BUEbJA+wU$ROFCxZ=IxGem!$#Ss*sFDSa(pR(!LI-
zq3#9m!#Q<JZv-KQKDez|5&K&Xi8v)U*qt>{oR)7!n?xd6Ggy$7VxJp}=J~VQ6se6X
zdGXtX9nf7h@V<&ewV2L;NcHGbT|SPQCa)+>leZd6i`nn5>(kM_R8MV3PR{s5LeE{3
zF@`CHB@>q6&rR;>tRH?me~r5N;BWGMRj=*Wz_xP)Q2=D>iyCR5vi(kK=QY*zCq6;e
z@!dj}@`DDppUM4^u75`Po50$@ftHcg*e^0?4bev1mCT&IWI$YQG!txBJWmY4N{Wy=
zj$Iv}JCYUp^xeP#qH{M#NpW?|J-$D1A(Ix2-JtYjuCwE<-#%Gc-FR8*nR~(CcZ`HI
zjA%BO-OoEi5B64A!$b@**aP(!gRI$D*<5+oxwGrWnnck5s5@LL<l8$jX^+PUvQ}G`
zi+0OkGkZQ2r<N*RRJ?OHHk(f^;!nF;Ed{On7Yl8<FG6VYPpE`H`R2q%&z2Z^1!$07
z?C{|9{_Gd3$XZZzy+Jc(6-#Yh(STI3U?T%DHmxVB4RL<;1RQv+JtHpMrwIt!LzNt-
zaR7DRtqiFZ$qM{|uqnYI!Ruk9eL7b1h%`EeT~kK(S=Xy>njvV+v;;=c-pxhRYmt{3
z3&<UK6^$PfSn!EAc1uidxlE8Asugz4m~b8Bo=cZ6?o|lsh8!>w>LPF+7*A+DYQS!s
z%idDmlAunX`%@B8mwS$ydcg;Nb6QBC@{P)t<9~Vq$Y#DAq(c^}^Yy3(tZ4`D{bk=`
zzr<j0g^)BXRJ-Try{T-bHu^S{?I?&gCOl5O4Zo9e$nTdJw`P*EsE{c2vh*1WS7#)|
zd&GDinXqfU<NWK+XUugsLrKFm!v|jYnJz-^3t2LJx2GMMoMQMA@PvvS@wXfdAENr=
z$=uTAGn{rikj7aB=4JTr0@%oss3zcGu}hS8mvf4nHy-TPJk&%__&(FSudbZJ5FC;H
zVCE?_DuM|~f1dX}K7+g<bP-bQSPDT1+U7KABkM>5C?)4Q9EW0=F5Y~@Ufi}wag?(M
zy@mLx9ZQ;Q_F1sjllB%jYMJExeU(=(5~8y41XVyF1A5JO-v^o_VXRvT+&d<sELHg#
ztFqSpVtI$xu57-WE_fUmU}-)#b8jjpLWE2ryKM1C+OwEm?C#3qQz?kOBZ3G@_s7MJ
zJJ>ee_rU&w?Fy1F=jB$oF69Hs5|c5HW&0=kF96FWSfYW2l3pqszqy_+D$S8SWWU<o
zt!YZ4hF;CEn+iKS!0d?hrAeDF+t9!sx?~};?cD_JUA)PByd*IiF%|0a3m+@6tnwst
zIJFr|G%EPqCLp^Rtj8}tJ7~jRnxA)l*-Sw}{G-ynPlRIOIkbLA5Gr2lf{0Qj8;#vs
zS?>r(h<GmN`dR}w>ThxN&nlr@+On8RhTizpc%H5EwZAh5A1sa?!Tn1pAHcl31z^qc
z@+FxTSk1OMz3Bdi<MSMfy21_`=J@LVCj>9BW_b3kAofik%Pm0n48I)D#B?(Qp@DVi
z-Vg{w0+=?a%H|z;^LhgufRW?YMVuA+w%K+rH9`Z=?7T&h{6cCIj8-b}(2!fv_9+$}
z8IY*+b=$18Xlce+#1s;d5ItpEwF9Z8JY@0H&t2+<J>+K9!~bkHyJ<KDNZ66CO-e~5
z@s^c~E_&a;QQJK#yQYs7G!Nt?>)<&|iI7Kfjs?pnrbvm48x$_MkUuMk@@Sz>E;PRb
z;WpMoqR;(>fxS$wfNX{w5PMiAAC>+4>C_9z)68BtZ|qvrS+N;Jry2+4=I8c%IHjBh
zJ*h;NnML7SqmgSyuAt!{6guxumWk2M<q#~=5^3ZXiDw#<bkuDhHK}I(ycu9@Y`n(a
zxE{R$u6-o}_m&bQxluy59PI7A39Nh+r>xO9LXr&XVGP~wD);+URaMV)XCHnwyBs3b
z*49dc%vwIRlM1XH0$2dS<L-Hl=$sT=_k~kJ?<xeS_<rBeZgX>Pf95t`(6#f6-7Y&L
zdszVmK4GCx9%xv%VZ>X8*DN;gf3U&@!hWI2Zc&Z%Vq=|1A63<hLM5_Pa<M))NlV0k
z9wiXQH(OS=*txi*QLHBUSx?zlw{CsL8)rOKaA=)~0ktG``lxq}MQ3K}j_P`nKFA6j
zv{=l173Q)Em56!*8aOLQ1sSWQvlFSHY$7+(6~yml@=*gowmc=S<e3e}19}Gru3Ez3
zlFGJpM$dW2K>K=9dTNvpVne=`(o71_MpTk@^nJyVU9%$54!5I|=kn*;pp}bD7dYpp
z+V%LemWIZ3E!YH=g1+*6Z?-}&H6g(iaK-FsxVgEx#9Q;u-Mf+JOR-`Gp5xt3wUpJ>
z&4_s4URCob!cn>PO3dD;P3^GQ36Qs@DVZWcp8^M?gM)63b#-<0;RSB_KMn1V&;{_?
zH5jpsVqCV$vCfy#S1<sogm}WXiGVxA*i=csm(AneDW`;h<J(P{@?^YXt;Vy;m_Jn>
zeePJ++XKhhs$k}|Td(z#*%32g$h(}1a&NK@Sa6-q*xu}Znk(gClUN4Ctbi8J!h;M3
zZV;6e`7qDe`(0(65foXF>CF7b8$NUDyq{6&UKF)F6GZU<5u1@*6w$=w@a*GEdJ3Eq
zdKokS+nae8Y5*pXZRS00F(5`QM+u-q{Sm%#S=M?o6zWbB;ivVSuEx6IYG|bvS;1r_
zM*;RzcYASuY_w6%kDur&_rtE&L-c2GmK+)o7FOAc&@tTRgF&U1E20DR{9R=$B}>v2
zxMto%UcdU}tb-iQW))*4k@12DPuD`!ite)C`vR^dc<AvbJare|*Q}aEiutO<)cWmc
zltN+%+3x|B7}EfWC{=sd;-XD9ZlK9qq~yyeYC0Fm<`xog30YZD%^p@JOpgqsHz@)P
zNuP8jX)&&0cHdAUeOJ*g!PPy3QvVU`AO)^=mJGWtKgwAm#!U<7hZ}~Vu^rZU75R#k
z6!V+-9H!_+6f7|`nf0VNHdD=3?aSo8SQ@EeT?`;V!ub8%D_<p*4|j?x@oE=LQ{{VA
zzL<45nXW5EZ~?Aln&5K$_zQT~*oPRnE@^(3zdc@1qN+@5+#vwy?0$Bk2+H=MHNc}o
z-*vac!7Q?^V7f4;n)MbL@xH4ADV+uW6~yS2o$2|`1*T%xi*xbGFIkN-iy1l*&n0fd
zozmmYVeUKyzLI_tcKMHV{hFmF+C+69CH@tA=`VrEAx*w4PMG!fnyy&CAuw(_A9nCq
z`iEm4G7=VGIus;`fP?kQw=KXG$80@=@3#*)3|`5`W-!~j&>=4Dt<djIP7{a6akqsZ
zUoHmsR(rH)W-H3_q?-NTcNFI~RquhLw<#g+gn+%hJ%)va1p#x@GzB9o+Z8?cLr9SO
z(p*bQ)a=62e!Jn~0GIz!`L{}rXy>B{CP53@mUclY{KBus7*dyDurY=D^3jc|Sa#`?
z9tfj+|6{G&D?Ad<P&eO7wP*8a<=KIYf-Dasp-7V3)X*~WMCAy|SF*5AKn9;uGIp2t
z$Hld@W}u^~oV>*pT|Hl+l1j+&izu`tc>6}ZKxy%#wl-s`(w5@CnjR166Fzc{GI0Jf
zd!dl1q994~T~n4~s1e3XPPy=NzunXzp~;6&rs*y$MrwpGHuqVZMAo+Zqmy0uP0^Bz
z)AdL!7N3k|Ycp>|`XY_pR2$OCFK{pW!b*klF$n(7LrM4WBB?FIOr5akHIa_6gMj1q
zL^bdNck-&Ksi|He<&&cTIZ~qAX5dq@3#2PUQ+RP<;RN{gAg-Z;*xP@P2}M#=KVTYL
z<%b9P$s`0WG7OI;r#m87WczVs@HGaEBr5oe!8+T=YgjR)w6Y($V1lOe()uYvWVIOm
znWKN!^+HLoV&=t$3!KPOYTURZn1F>-V9JD%FvMC8>{Ofv+M>;b35)z>)v=ejp`dk5
z#aZD4zJXoh@%}boe`t}NP?|EwDOGv%K~s`^Jd5B`()~xa*>Qwa%uI4|Ngs@WB-ZCV
zj_~Wqff=WU);4MT9p=K~68%&@?4`%HM+C>qT8se5Mj;2Br}Nh-I9Nu5+uO1<IV$`8
zFI}9NOLyf4;L}*AwO9w|RP*#54LU=oE8A2ZqtN*GH(ME+vl*c2U=%`=b&15pR*}p$
zn~(Hj&+wI!{$OQQM%IA{3=9o5RdaiRNk6ZMBr20l7*_Y(Qj#Il7?$}<=B7Id^}3~(
zwiU7O>q1ucnS+$b&?-Q2$%eR2p}Y(Z)HagHO%w0Zy03=ed=%=+!BMbAI~8XPucGXX
z$0P-h+<-Svef^fG)8mCW(6;8$$}HWS2Uyc(9|Ep5v=rfF{9}D1Hh`-GIP$$hIgul)
zfwo^Y)gTr1G{~f&e9Od5FZ5$VvV#j=*py86>ns6v*>8UQ`$Pu)kyII0^{|(T*Cv1-
z(svYaxeY59)>=mBGuHX9BVSrjX*7(=;GM~bQlAM5TWA)&p#+^~9E_m9ixD7^B|uPA
zSh&6CC<F(WzVC<5L<Bi=a3{K1f-P>EA3mfwI=Vb=c}KvCQTsIiB!(!&TE;rPA3D6(
zcSKH{3vq2mhZq^pqXtOerNqkdC?s+99@q*z!=Tv>`eNeX;NY#KG^P(JKGpC~QwL39
zk?8Qy5L?}EOBn>uh@kuk3gL^=>TywFst)$VYXq7e8SHPgF-Rm7z}uhcSo0Hit60x;
z){yB*lX3D(sYwxVkf8dn;)@NL-TB%G8*8z=c|qEOP(beHc%mjHN<+@3W@h3KeaiOS
z)oYv|>j-tqRd?Xh**L^2pOM=%snBO>LCtTl`ohUfn{Q8s9m?*(z9_P&CQBk+`HIa=
zaq8*0N|o0dy1iz(oh2%%MY%j*`4@={KwWe*InsjALE+@&G>#;$t4pyGKHymoE^LI2
zwES=|ofIVIk%rpXOwK<f%L)_5yHd0e3V%(2%8)Sj-3T(tUo(M0o6%x=;1)Y8)2rA=
z2m~ZQB6%`B%FZJd-aeI#-SSBT^U=H~-;-c>6;HdjQK*Z#1yaG99ZSK~H7Xu!QANe!
z8N|-P;nWCV*R~=PapwUM7%1X#;aEo&05QN$bxG&6UFHOUqQAXtesO+US=$%6Bb_M+
zAwP(Sh?1vvK4R%Vc5*J4%^R7Twr@BJ2^;wo6RW4Tqja!yn@e8iKNFXVk8kBd@&d<k
z+tHDpX>e1%mDw6<EP2#G0T5EP%R-d_%81x#p3xFwuz#DtUSX#x{g>0^($c*agxRt2
zV?7N@G}r=81<lK8C@ZsiXJN6oB@Fu}5rwq|taU4p*`Z4GgeTR#&Qj@lVT`>b$=n5|
z$4~(4GYx;mVtsKB4>&SJh^!;BG~)0OY3UCNs94NY?^!?8|G8if%U0N?e*);!F@g=e
z|KM#>3KyovoR+`sjXTLS1uKku7tEO8bsiLeYZXknylVRqb>$OKPe-Oe5dM^mj|J%m
z%h0A6!j%T|jVdF4K#=R{rwxn066t71y02ZCrvgDeHkWHoounY8eZ}1MVisX?5$G5x
ziCNT|^rD7P#*u8X0ZMN{+56}2*(FhOe)au^^{~j4PnY2{O0(zp`Oc%k<Q}(I$G?Hy
zr0adq%bQmsDOPcGNaUpY)Sm+xJ+seffKgMrtE#RxDZsK-7(d5Eqc1sX`JWGRD<Fg6
zMwD#Ki?ouxo5<iVh)^2f0)G-hBYA#%eR`R@5=$t8f3n$AX%9MUk6g3;=?kRsooDY(
zKlpkIIkpTp^py!4;!%`_u;P?77kAJX_3YEUg@pxQaFH=IsN7kAoUNq$Mo%DZ%n<wA
z8&KdyK7xT!-0g2h!X!fl+0Lg)b*l;nk479o<F@)HkrkvYN8SRasIMhl{b<2+!RG~J
zogeV{vc4jKPkIGZAkp;bVRhT0(^wCTjonwM=1A|5@mUI>b;t)Ayi(EBbk@_=T?|u7
z`<^Y+C0UPuTB3Gx$ql;R|6mXWfO3-gTR>?ujOGcY<_#e3!AXZEo9sy1M!$ou<$&*M
z_q3Bp?HBVF-*Dd)kFDB<0Y^+g!{R};8vSbKHfKu!aTU!!c(~8)`G?J&o4qm(i0|91
zjW;X6vj!E2P_TI!nA1^JwF{WqdDS&Cjs49~9Tb5R*M16NXG_e|cBE*v&ue|*!HER|
zip1)%59}rfCB<d`#xL711@;PL?$_bUW9a`aG}pF@dOZDrLm}jtQ?buov^&dzwZnci
zQ*WcE5h;Nu0UkfE)qnBMWF8+Rl8R$&?3W`sCZv+yokH~C5#MP^h|mw))h_h3<@xz}
zX8;GjG^TVk@e-jF{edBGVdCe{=t8%UDfEp6jejxuzRFq*cObY8#1iF*6q*f&T6U{2
z94gUUUDpl5do?{hDpgtYF8?QfV7S{4Ms0hK=GE7XU)ydo^WY7LAiMW5#pp{ln*O|4
z-ERnw(AdLfB9fNRYsoagbwd?(b$llNM>pqt72#Doo&b!XR{38H{zxVK*R$s^OFkIH
z<de3hCf|LuJey9N<BnQXLIQtO(iVcNC<DV5zb4!~*;yE>I)c@_C`uBH_K#Ku`Lh$G
z3z$cZgwqrL0h!0*{Kb2`86QvG**lw@XLi+~9k_F@sjI`5_==DFNXUOnH4)3FmO1bM
ziPL_Q)7}fjt6uQSJ>S~cAUWF2j3}w7@S!sJ`PAD{*JseAS`lRhlI_#C+rMf{NUcpi
z2qyoOl$0_+%ogH%{OdE7aMb>+D4I%X13!LSGC1ib9LdS$_H5E!;X_w-7Ye}J=K7%m
zFfJ?q?5R}Dl_3SP$1lPJMPM1O!Ar_4E|x<q{BMVuqv}M1zm=|+$tQcOjME25OgdZ<
zLzyLu1oq#?Rr6R886aeWaa_aw&E9i-RTAiFb}ctn&cv_TRihj9H{V=pJ<y>E(Z46H
z>-~}pLIe&}=Pdbf@m^6X=PSx$N}zv9M(yUH&Ks!_G+R|@ly=hnriY);Fga*(W(?Hl
zcd|&$+7fo41D99#^!`mY8TYA7msU>U>1~dGNSzP{Wc_4A%2x@YF@PLGOTxC2$Q}P{
zNf7GqYF!z+^HVC9`%_fBbwPv3K&ZN9v_zD%nwrtmBTfJF))oSBNrc)*wnlJlfRy6?
zsQ^_UL0QD%+FskkEJ%>6cd>lIM@-OcBbTb*mW-^dy+^Ae{44dj;IiJlyd*watFyyp
zD)8a<a=Q-*3mN#3nDet_{^(mWaL?NtGc%^!xNHwnaEZ-p@G%Ak2A5Sx_8tkE&5gBM
zs>eZN!%-Kex{V^g!AgfO`0-N9ZK_1sN*4aOkN>Eu{_KvP3jFiub8LKk*E^dmnMqLE
zz{j6gI?_Mj>~&$X_XuvK#+Y#v>W=#$T~!#lFte~of;YN3+lfJq;fl;R6Y*9O_}qj3
z(Q#7h@#|s{bF73V5`cS{jpoB@I6be9C`B0FF_ykfS^#rLn026GngtdfxxT!-{9t)=
zKlq*h^#7DB!pGOs(yAX>wJk-o1rsFK{LfjmkLujuSI2AB2)CqwKd#u@P9|BPaqusP
z{rUg`fQ?NqaMZil>{8GbXf3nc=Cy^?fGz9IUw{ebOX>mFI?xq^gZ`W{vpbw8yUb>}
z%?5#SyoP2+zXOVJ3M@DuG;U!pwt0C(%9oLFe(sqDcE4efoK)w?M2@|+zf33jYHMQ0
z9sMzNf2v^o1HgtlL92!G7!AAuxWP3iFKp&(n2O$QP5IKi2|PozE%kZ0uRv;Gow~^N
z1BW@cVr4!)bEljtusT#DQk37&&_LcH59Z7&EG;cP`M}FSeSa+KbyFJP5>_Zs?TRg~
z_B#p8P`2W9&~BwVjP)p{@U^B;R&&Y7%F2R0+(>BHxA1fkkAtxqksWGw_KNhNa>NPR
z*0V=&5fZgNe)Q}=UhB8uwo)dgcHQz1UB&F$GkYYA4p2`>MD%p2)x)K#Hp$)OOH+1#
zjG73HN6X(B(gbR+I5oCp0lUvSpo1X{Ca8FahKIk&GU*|Imyw(WSJmlTU?_b<5QzDm
z1wzDD4|@vXie9|r={ls|joK<OOGX2ULwPpgfDAyQx3jjk;CESi?cQu>9S-1x5^HMP
zvWtdO^&a{i2?0quFME2C6ZhlAio5o3N|y*f)Tj7>``KKV&+^##xXXnkT7{40<kTTd
z#LY4*DEI)Lz#)OY$iKB0b-CZt^6L4-8u*g8(!hwwb(^C2c$>}TnP8TLfz%KkDPSWt
zS83S)X?Ucb>y&+_LT?#N5V??dP=F%Y%KhGsS9ewq@drUi{1+mFz1`hpF!{!YWE+b6
zrwtsszXn!B6y<a<_1j{rew3GwsXb`@m)`!zKTu(GCuIs>LHVhNH?u{Zeh3E(aQ}Yc
zKYvVFzzhCmXa4(}rDn6pTmDNU|NAAoWH2aX%581cMZAhliUbq7jx_!PSSwQsuqd{m
zLX?gIiJ*7|ShTb#iY?=mbS@@D2xCQk`LMFTb7cQ$$uznQwM5`elo}=S58)~2Tud5C
z?v~5iI`AFXpiv|4D3Eldo2tu=qTTK^#01I!(Kt0e)A{c_Rb(BVpi&mF`tsF<Wh&ha
zJQ}-bop7`?MapF*Pb%n7>A4)QR@dRNe6Zut)t$r#(Y@O82TvZ0*eezOZxH`)Q2lqf
z|A!6w|MKLHFPD`#j_(VlRM#@xZ2S%l0L$bP#6M9LR2C3*>2NBsHkGNG3W7;q0Hh`x
z0Liu*xqSh319Q^N1Oo3&$1CL9Gyc~ENJ>*jTTS}fqiWfA_CVoY##*ressKxdY^gwl
zTL*9{=?B1;bYFh&S}~Dh)l+fGTU>IM^Yj`_zrvE-vJ8k%pRs@Pq#nJ<TfYUr*%b;+
z4<bNsUGH%O4sRJ-TVvk4^Yv-l8ll_4Sd57gm;c=}1TiohepVr8H6{Bx{A&<(Ec1lB
zUF)Zc1hR^T`*$rvYC{l=ueknvQ_nEjG!UfBvU)=#SQoiucchuDsz*`}4<nOg^LH$h
z1i80H)=#~`L?6ret1bA5AosH1_^Z=bC7NaPF&l4MZL!=>yu!fk6n8sWE$i<nbOveI
z1@ZJcVF{+zCyww}-xJ7-Xd_$JdoC8eU%7=cTo(AbJz=agTncc=w;z{RnvRM^avKc3
zlDkVC-0vqKid}UE@~lA>elJe_V}T=#53kV+)M{(R;Ez<UqDF?9x%vB_KYyy7Z8d`X
zjTtk>F9U;W5a;$T;bJP_z@nzMHg7`cu;jV~kdmC7+?HOR?g`WSyJb3-Di|ZR&IjDj
z>AhF#(c0$Y<K=CIZJo9vtQg^4zXRRM9`JfQ;Qoz<m??4Ju&?+^sYI{V_5})}?*p&m
zX-1GYx<z?K1ywDmlPUuZKGH%Gu07kVe8u(K5@53v6Dyd=i2P)M$1VT^B-C(xaNlE9
zkoxdw_x?=olYMc7<x{>##Bk0hC|jSn!xzTnm3~Djf3p7!w-!rp=`Ddz6}2G8E^+Gp
z{Rc4t)`o5W9WQ?4`+%ITj7<L>uo*P)7tA6T5FEG*;G&1APQzxwc7&(meK@EA)DV~Y
z+FCCXfYRso_-d5w(WWhpjg2W5-%N{BAIWhLdouoBJGIi|%*fc>G^s8ru|R>g0)0lO
z#0-C48j)>{rFk?Jm!lj7gLgm!GRw-I0+v9#mAQG-M~#H%RpBVs%UHkzg~fO;7(<{D
z%wL|Q3OXzqCYzu^o5{$?e40P^hA4irSYBv!P$rBb0z4u1F~#?`9OJ&vBVJduM^3J|
zdigY^C8QS9k~OZ=gEw`ApNuMgvd(yZqSofLo|2II#Sa$AU~_zPKf=$BkmoegY&Z7q
zz^&-Jl_TU4gGCwKjd!lupI7*?+!DD>$7BIf)XW?(T%GQKmlPKtymp+se;7;VwXmE-
zLdFf2v{rP6N7Ku@Yn;c=O~bw$HAVcx5CzT6aQUG7(%mY{Az?f{8ra;zf@R1+4DbmD
z)eq;zOLZNcYsV^BT1dqNTt!lpu=(m82k|R`qx-m*TF!{z7@~{M1#1r3UXYWPpjSUY
zo```&z2(sLz^wFQe}%SAk@rJvapaM|%Q`pz3rw2~7)Vv2lR<eU%jNz4nEKeR`w<2Z
zOqY@8@YJG((`a?4+-RFm_K-F;F;jc^v1D%-_R_1wd^h#Kf0Vx)v1QE6%uoWuKxTIK
zpJGU0Ao#CWr@o42srIp4@@KNo5B)s+{E?KdrfvH#H&3U2{c@}-_Ey&rdloEtpEPQi
z8dUM!>J^xIBnNl_@5Isr*E{gtUprUyF!A*8E)D2Ly)XcXeGfeD`8+5EJ0Owu^jh7W
z1Qf}lPr5j_H!e9zU$Gx5v#-+^><&n?J+dgqVw<N!%q%RSBd%p#lHwYqYTe<*+Te$l
z7O}Jed2us}Q|najIFCmuU|Ek%0Kdbp@uUUsSE`ji{P<lES3>4C#PXQxNdd|A5FX=?
zG!QR`rN6Lxn-wxE5Q_QJDNwl7r{e(cT5w-6LzQPD!7))yIK-X;DBR6JJ8kG;Ub*uk
zekg*Wk&==Yqb>=0T>O0k<Rd~2h>_ZN&L!dC{^B~;QNyX@E>7)}Lqo^J=;aI)PynZ+
zR3rX@V5#kuL(CQo&E+(j)@eN|A$6|pkq4Qs?~-WP5$GL9njIf`aIi?|=ODv>W5R3$
zG@FRe%PSG60N(H9;?$rPRG|3%GRR5Km|98;cf;m-w=&#!i;#jZH(+g_Ma6QY!*7J3
zLa;iq`2BwoBP`AW8GzNfe6$~=?;lSSzU&7zj~@7|LXCSR15Tg3d@SQJ1(+LhUKnr?
zf5cqL0k9)TdCh;fxSdA4<_R7G1yBjxlUD-#Rhz!Vx>ZrZ*q86e?9YUaBM6p|UzpN7
zGL;c+0!SRs0BgOr#=*UPq=ixWUUNes>qFXlnDQ9&x4R^^|1NCARv=dj;$^@p4C~ii
zn(rk2I<c3?DZrlckGJ*$<Vy)4tbY|7gsL)MKaBvcjQ*ZHM_o#?frp&m^6>Jep@K)M
z+`)O@FE30yp?=3iRpDqjl;q)ads7@?HZqVXr$B=mFhooP!(TB8jvyEKe|iBVHxU~c
z@q=5Ie*LQ9kfNZk#PRD~$pJ5Y2IaSeEs>%l{}rd!@7E0RdO?mo%c|GrdEU_<CkIyp
zNxOaFAU?+Icc(M)Xo!;5lOH*4Vt<&Q->ucl&U)jKW52=R1N#>-)kFF|`J?jUJLIR<
zY5!(T1^ZEXrJk*ey}A7>u%l>FA7oA$2p6+=BWQXUGz2w72;0enB?F%em0R-i@qNMq
zC%{Ca`gNM3E@gm#AK!w4r&YKsho|$%rh3?$m7tj!;JdlIZyWqAwa%sC<@4bKY^toR
zOoWw{)fs%;H#9Va3H;TXrb0vXJw=;Q#em}in`3Fh1tldV6dl1)Z`aqszW(L=JNO;M
zUI>bF<=Hmsur(%Py0Rvh=T+poO6&+1q&AJaxo2^FlrG0dy#m^{i;a|&mZdg<`V)}y
z>)rca>(1~&oxC<N?hX1(o(MPo@uVRUc0mo97mbg)$pP;4*ZJ1EKI03=TxSX`tPZZJ
zy1%<CCzJ#iU$qt387k>@-pNZ);=x+81K7c;sBTiJ0w|e%rw-c_S%*l86N`&?oVkfA
zVnqKK5sg|dZym`xcD=USplk2<A3oq9T$%jc{o{L?&?RbVZtmV5R0`PsC@$XZ0+neS
z810klfI8+e<>)0qE{fTqjpydQ)Z$j~LbQ%>J|P0M9Q7GU_L@wG<DVb(&Rd3z|CN_P
zQO2pijDqbmn8uylkGueR*>0rS?SB&5|Am=@2R=N}dN~zK_N?8KxUcgoYFt2IU|_MW
zz^yRQtT5HWQTJyJ@5D+kD<eaknnPFe8DfL|bg_m<l~-!aBS%NQ&E;R+J$bkB?!3M-
zbP6179%;|j1|eU|E<Tn*x)=Ukd9@y++=jB^0qDanypZbl&M)#d0t_eix1gyS#qetF
zM}49;$p5HMvLb!|(V=JwkHY$2Bx@3@9+ih)M!MDihh(H~8~;1W+LzlIR!_FyZFH?3
zO+MMU0D08WWISD0(EL~7G*GNC^~!7KXP!+ybBYZd<N9_aU8EUbTt&l&0t@v+wcCjJ
zKb-nv<|*}t(Sc~jVffVs82l-K;7CxdDJm-R0)61d6Bv_LD^b*RWvD6W618PCyS92I
z{SOxWbI)S($bv?x1OKp~A@%aY`uRoUKbD^AKWe7;PB5_r*%h96*(Ipnxb;X&`sGJj
zTDM0mMlA1N5IjW{c6F$6-1+GRTp&S<DN~A5&5{`qp+PObKsI4gbCvmGZB4m(3C}>W
zjSWhT+Ub@9IdT1z+j8zlCD0c-07vu{ccI4Jmc8XxbWm@x)Y6(gxY`GSU{&gS6i3fC
zeuTN>lHadPsM!y@wXfUgwok9sl(ca&ZMtr31zvR(T`hP&_4toy&EK;)|3AZ3dnY*e
z{{pT8$O$H(GVP%LOsy3cu!MOtY9vX3Zew?Ib908ehL4NOr4DFue|zS{f^@pLeRY4e
zMgiLA&pt#*54gHm2*AYD6gQ{0$A=FeLc5QNO2a{If~OJwFtY9cZUYiE;P1chC`7LJ
zI?`^62QC^kSC@7In?Rtl#1<e1x!-`D+|ODJZM`)5cLv*|Iu!W&<{$ItjwSFt<<+7n
z&OcWDKRQy*#Ah=x0l=X;r4%$}zI;@wvVz}1r8>SpTM0XEUi8i`t@Pu^ft+;D^_BqS
zoKY8G=H(U;C4LEyfdtMJG&Z`?LE8(>8;Xm~Z`74Vc#ob^f$p-6q2XGoZ~Ycbv_3uK
zEgk;Dv*%z6MCp1z3AF1~;eiI8RKUAhPMt;0=e_r0R4G1#lUEqO+oqI+t<a$ShLIvK
zH3VUG>|wgMG91L@0$XvWu!N`o0ZnZ#!+H}0jkwhEG#dQ8Ca>$w7wq-pn2*ACvU(wE
z-+Z@T3SI@eDVdIu*Ps8R{{O|e|3m$&)`6<<oAGe`9Yx0)5CJ;C=ESZ(rlwnQfC8|L
zjq2ANLQV+=4ANjxsWr104hr6NC6Q#zaZ0{h51B^W{^`x>8fb4V4M9aug>d_%qrvTT
zv(;tguF|dc9uvUoZpg<4!Sw=d0UwmTr+f)tKI~iL)t^uq;L7vwZo4o=2CTpE->NTu
z_ObwU9E*f72KOp<KuwVV+X{Fj$hEBpRpX+!J$Qj>8yHwU7%uJYI|x7Ob}pqy_u2tY
z>?G_B+W6SA)Xj@r?^W9?L(vSIfMPZqbMs`c%_LLNYWH(<!(WA};l=LkP&ClkwY~q_
zfau#{tKs#e;~ie5m*_GWjD0V@!V8A5Enm2uU)yoDA=ar%8O0ah&(!S`g@=bLqG6L?
zjqXmD(4KCNmQ-884S*a;BWso&Lb^7IgKm8eS3PRnLapgNVId(+P<@nuW}Odsbl-#X
z&FT<|u~*tbCsaLerp@v{D#gvo$DRHW5E{2z-ZU5M6MJ~e_XLc^KFfyI$OUUL!Qp?$
zOb?ug#}|$12^hbn8BRc&H+qFNQM7}mU`V<+gJXiarly9Nz2!(EC&-gj90`gJEkL+s
z1Q%x^K%WWcH#%&kGeRm%K75ii0VAh7=HFh|brr<p%G9{TIMjsA=Gi`u?#PwFmtbfi
z4aP(lgpf9gy2{4J-+y;^F@Qvz6$wc({c@zEL@U^3xpw7en|Ta!(CvWRf(Goc#tKdf
zJVz2BfwDr#-Z>f5;WxT$48?tDnQ!as>(c=bkQ-{nP<lY@twAmc4G38d7HYW?m2N!!
zbAP7xzgu+C`cpMgCjrnu{dbJ?=iZU)e>QdhwkQ7zk|6)*=l@{f|6t(%FAOkC{c#2)
zk$+83hu2y)J9LcV1WIICe0&lV6cos_Ne_XXkZ!(!WdHKCMiZCpxY&nX0)+rDTt$g+
zgon4f$Bh<m>_ymtR9T`0zE5T$>|0PFAt(FObYq=*qz1N>sw|Z+0#I86S_p)heMGS_
zg~OohZTqqh2~-eZ130icoPlvfbY~~0JLmCq5t~L5TD*;ZTVdctbhrvzJAPXI!v~Kz
zSfx=3p`ns~Glh6jaY+eT=$EZ>v5Wpofo!gKA&19##14p?c`Sv+zW28=JCQ*{Z<*Tq
z6F!e1aqt@#<>zl=fSx206j2*2=)C~bsX6b?)c^)W*KE*&Cp4?#tF~QPJvZ*g0gt5T
z!+fzMnEDj1@nCgSh{~zKfnU`;BiVZsgM%1_^R6iMLO7?Wb>gQHSHPW!V8XhNera}c
z@_6V8L+a7J9~w@Z?{?592(!W875eNd6?OH~*FZI}fUts^&`kr$&f2+GVLX$q_oIe@
zz3h9hfQOvojNR?+x%ko%umPl*b-0P3V=IJ=0#7hpOz%Z@G{5msY>w1AjfSojaUcI;
z#5a&8EcZr<K|w9zzycDmxVYH<R*QoW!%L75LxYf>8Ny8Le1xw$xVN+8h6`mU$JSe#
zn(CIa0ErnC^ktwJ4AY)=2m_X@f6OG`AQgPc%mo{v`sV8vNt#JBrp`VMS3P5h50!*4
z9L`m)og?5}>csQPXjBkJog$DwUEu}V@uNKEVK6<4hSs?SaXk{(=3-G8h=6qMBsk#d
zDIT>9;#bEn{P*GI<y@VY_5#FS7i^$VUYjjYOwp`#Ib5noi@ml7pTa@yBWZ7LYPunu
z;xYYQcPEPH#t-ELoRPG_TKD4-#}s~>1G(d?s?8ozB~=>&s5B7je6a9a(C$x<?3k3I
z<fkapPlz7}6i4Kjw4e*`Om${zi*H`z2@*`MSw4qu0k5<{^q25j%$y0$gVVyL8n^Pm
z`g#jELriPW*820Op^na$Uxe@n{Ooaf0GRoFx&i^SM|DW9?<M1F>g(IrEnfx=JOyQA
z-7DTW03i`5#|)6T%zY_r_A_@)Ve0lNbPc!_hI&Y3O=LAS34tSag%OYePce`fPh`FO
zz`HvH1ieBBiiMhUa@MqhFZ)GfEeWE=>+9>;DX*?RepX`iuwo=^V%JFmV@02$-FJW<
zR)EB^yy`eTkPaNh7klScRh?Wu;(=1k`*r|qy8)nZ1akbS>KHG5`NAy&AR%}FX@7q|
z<E@$`%kZw!Y`$gT?gj+~Mf*s7dZ)cP6;j8qBK1g+#25&3<QM@;DEeR_%`SR;E7ZsK
zPMeX?y@C2E4P+K;Q-tzJ`Vl81Wi7}8)sf(#!vn%7Wh8AR{mw*A!}~gL!`u?s(8pPP
zBdc*o33UcN)q}r(Z#_E6q$H)(58TYeuTvdj)ZLggwRE=fJumGP6-Q4Y_Sn$n9%~_@
z4m9us@2gBklLvCaUJ}rm<cD4s?~V%z36-OC=t<zmaVSlS|Nen?t6bdF<o?wx*$2rs
zHONzx5aSN44pAUyf_XC=oB)XgYWJU~*C4to7)o+LtkM840dYyn6fWbT$tNzMR<Ovz
zT|JOL5A7kFmcxbSGY-2Xfp&Iag1LB(f4s?Jw)`$jWt#?8w~V7-Q!L7FHDBYoB>-;d
zH6;#wS>c0r$q54Kji@gG#rb+liT{*dr@h~Uk)M;@jfWi}Vl#jF*RNkA=m8QI;LN!R
zziqp^g4WhMI0PS1u^{eqAFhgEQc({Ypx8)HsA5jAvSwEMgeWJ#ztJ2iwO%vVdx_|(
z3}ymY2{A;-;6%Z#hW!z<hP2+Zp#uyo!|&AwE^t*>?LtuP!wf(tZT|O+!`Y<F^32kb
z=#QYX;tYbQ<&s^k2*J%nSiKeO8L5giC_VodTW=W`RoJzUZUpHXx`m-6B%~X4C;<^^
zknTph8Aa)kkZz<)Lb|(=jv=MHyZ+nfoacSd`JJ;r%$H#{`(At9E3S2|b&IR3sr{yI
z%}+~9>j6NDlXl#>9I%<3tA!<rwU9;ywjKK1p7tGVf$z%SRO=Qg4AJ0bj||UqoDTr4
zwNY5J07zt&$SBl6a>oN8Q9r6}B_Ozg>5E_hi7244(3(mt6wb`fHdc#npq}jkvjQg@
zL^DyV8>sXWPIiotAAB3R75(z?KqnPY$mak)CXT3g7Wf9@b>e=bN{VIC&kXmM_Q6!&
zCB%nB$HVEohgJ3U4-dDt@<a4Vqn<S#cT<W)+t3>!F3hnzG;x+=z@cGFtDFi!Z%Jj2
zqUnuJ)4DhBJlOfI*3s#u!?xr%z)-)?#Pnis_B1YNFjUva9@I2%Q1VY5$_&Y#&4KHs
zVK#Pq`<zId0`uEgc&{>WoKBId_4T`>nbuSTxLSR+$#ozJDGZH^gI{K5)wjjZ54?ra
ziveMKkg!7kc?%6=pkmQbYia?QA`9RaR=dAGSOqJ>krlSL%0Q}dcUawQlr*98Ecs4d
zLCOii^8I`)4&?gNp3yz1+_@V%&mccYHW)W@jMn}c94h|rN@~yKe}_lW%RC7A&T@q*
znIc@FCp50$^1v2v`PRZ4lR`&I0lPhE=htpQvSWB`z#ovjCIZnSV5>oCt%RN|gI-rd
znDqB)u0rAmwSR`iR7?KFz?_kmdX1@;*s%mmW?xcGrk2V|_{$a)?MX)8=4m+2x7X4j
zK=2f<0$alZT!VX=0nydV+e@9e9MD3D0eVPW`f4r8y1Grg3(_aEJs=<N@(CHzaz}wU
z86kvQ;D;ipytJSLwWp&T=N)m)e+OlS49XA6clFAH&}E?F55pw03aJO+jM{p?{ASZ^
z(h+*X0Pf=mF6`B>Uk508i2QIQso^n@`)IoDkBT7S;&!mjA8oU<e+sF#FVO-k8{{xd
zfSM~2+=~wAKj8vR=l-kLx9kHqY;TvD6AL}%L7kfZ&Nb?5)12$q`CwO4P#{Fu$_PDC
z2AF}Xz`}>I&C`W)TSWDH85x=G{k4k77XzLWSxeu+JAF$V%JhKo!m!WhRo{7F9J$(2
zz$kB|b%J~4-c8EGaz1+mdtgZQ%KsC5HT!_Hjb!@Lp~QDXLLFeDo1~Y}-N_0M+7G90
zT#IeK4p%+b8mNF;_TQ|Mf;?(2(aA>GzaN$s6x8X%nkkAd<$;He0yx?m8203Z$8bgQ
zO116dQ%T}1r}l>ylXcZel0Gli{MTjZMWE~-Q&(18!KGmVdce`-N8?^_<~ksXx@@4N
zG?M4EzyZM_H%(3s(A0a<n3^0ERH0Vwfgzio9Fh_b&-58afyrPfA%oyLk67m3A4XPW
zFxHSE3n(A0zHN3FV<W<BO0Z7_cPjH-^}QM}f|P)<EDvs~NEcVv2fn3x6<HzE;6mJy
zqnS&(8^foCH!95jZ`;!AWIgRl)oBD~d_+P2_7=!S0&6iwpmz0zFjnu<4O9?Z_OyV$
z-8>~YEvT^++mY}z8Vj>7Qp&`p@$`+F{?PlBpne7NHAdRYdDT6z<|k*@Z~ClghY<P_
z2dHmoh<tKnmZYc<asS9XGb^uJG1Dd=v2}2uw|gmbng@;rxt=1`xppG{k2}p{AMnI&
ztpn+LmReKgpusk1M#%m_Zsmk#f0(xiWD!gdAv)i7GsMLK@A}|Je}(shll@ps@ji{9
zMMah+yZ%17))!;#>E-nX$S8aU8k;MRR}_-4G>!JUV2?h=x&z~ZiU;J@_&1q<60nm6
z#eCbi!uW=z-obJ*zMc|%H@9PT)O*s;Ah2E!8g7hEX`ImB;GlOM4qq+DbJg}18frLP
z&x4=vehv!hJh#uz|M^qlyNKJt9?CCF0EAc>bQxoq6q6{DVUNwKrl5~&Mr)M-sXX6+
zJz0h^lnl~VLEust;*?To7j!SdDAlM^F*7{Xj1!_DODI2Pi!FtFu-ZW-?3{0}`89|k
zwJ0p8UwZD+J#vF-gAs4Q<ylc7((+bc4D<BQB7HRp!iHMI+l&3gjU|SxF_kzE3<n0#
zU#-(l`%qC*HzNT?SWS$-!MMxmZ@ijIxymO(<>PYy_=<9&3qPB`;c=$673@X!>h6f@
zG8BjRYNVQRE(#&_oxDT0NMyN|OsRpr6~(7W-rd#vTIFhDATcCDK=u4YGirc+AZZge
z2pEuca~hFu()FQHjq^V8bX30wD~!BGp~ykK?Ixz+QP4}swBt%vfhd6&+z=eyWaCGk
z=6^2Ll$z%>S|p`cQA|v1>7C0zP9_yhBQP>OgHZW;hU!)yTuHA4xDp(_v|CLiZ!$pj
zydOlS`sDf(0AF;ln&$-W`7z~Ym?{OROXLMR`{kj}QeT?BB?bz>`Y-S=e&EzAt*mqc
z)oUDPLI^+q=f1#LD4^?rAG8yJrdqE6bIJg2Cq%Vv=4S*27-KyL;|cGA%F5Hj;L9$i
z8vAfvpDHl6n-pl#>Y-xuB89&L2wx1`Oo4`88fg9Z3CgRo@BvA3PMJTM-*%1}stC|R
z)2rEcH~z^AHA|wXprj<Vs89*owNvvZSmib$D4?{hvB!(?UsRE-QYQx!2Yt<mG4mKI
z5C-~-DpM^iTZA4`h6-%QZEvQ$fa?VvR3O$%FXYDv+dp|k5Z(%canTz!aDb&GOs@*e
zBVZyfAdy2u2dt~1X6UIs7J*So+!wxpppdM!&7YZBTp-R@N*ty1#NBPLnh#n5(q-<E
zsDvO5S{fPxVBlJWl!9jfg*OG2(%fj;+aJ;+YkUSV*i@R^_XbeU*Cxn8FlZDvIA}!B
z0Njv4z6L={&!&qCKhHG6gnC2`+rLJE&LdrIasWsP+X{?V18rXhD0nd9C_@sYYgPon
zkck*MJs%9*gw>ibBnjcGNR2ql`i1plyh9@NQN62B$9J#A9zh;V-v6D4^0<2aH3FLc
z>6bDX{7LXSc;);AZfli5UmXZrTbWU#SC?5@HGYf-DZzNclQdArNrO{@WnVCgJ)uRr
zEdRH(q3V4s;3LX1FW?fy@w|$<)d_m?-o@p-@LyK&C8%F<c9XF+aX!{s?+HBfdot#y
zVH2$>2T0uqHHok-s4Xho1zPbMc7OocZD6D;4g3GSuCJ-#X-IyNwG^XK5wD!f+tvYA
z-H4p!|K!X6{l!y_r_1*M1%4{c#?KjB5uh0P7fI_gNGiuh3GeyUrz=$!_~i|mJ@V1;
z%+e3w;FAE=|D^X>^Qup-aN+1#PB!MJm)P(Dq_F<?_KkO(SVUf>X)r$<fm$jo$bT>8
zce!-JuLTxouL%Kj=-el^@)lMYsdyu#m4j+=w1H7^f%wP{?Jzi~`+*7$;pln&-zS9e
zT9{|}O&rhwd8Wq+m_W(%dtAN$eTZm2f>y-VAv{$$s3!@S@~3WO>;SX$|M>&QiPWw1
zq-8(AhN9D$9w_}J`afSmq5b(3fg{;o&bTh<a38WebUox&Mqmz~`c)%g>j!|eXJ^o?
z!5sMt3EqMvh(e2EKn{<jKlQF}LH@(Dd>BR5zk$I0pSxwHc;ntvmsw-grhcYw6bD**
zR#FFo{Ul^=hDR$$CHP>4-~mI80*cfl3?2%F+w>oP4AoHo&mv($w`?~e^p6d2gxub;
zF6MF`0QRf}ZlP-uw(<gHjImz&A@u=_u^uF?iRCwpu1ik=J-O#GmTk3fO%9e7)%mqV
zyvz4(`?LO^w<LsZ{t0)3`BuRZZ}*n>rK_BHXM3k&2>MH8l{FguFZF|5^O;mI44jJR
zi~NILsG!+b?+cPAB3}K^W5rgE3VI8F#=@#C>5Nc*%EhNRi(LK^!f+@W?smj)K4a$8
zei1S7vbxRr2$ThQ3@!-8{P&7D!mC}>{kcyA9C;>z>FljNkpI^4kq#!Jpu=Ocne%nv
zuwS@-&(x|1tNgKGZUqwr2>z=rKLQt#rrAQP7UJ=#XOrH_w6CkGaG7K?uQ=928teKe
zA}+oTTvv4{?=35qqK*<DgXauq4V2?UAV{rlkRkcX1>CPeLFlbA_(Spn4b<r1Np%~x
zfNT5t4%GHC9Q)GER7;5u{tZY2=k1R|dc`pOk_r0Nv0rxE2u?<18KK!bW&_^r7Xt0;
znjky@7;t2HY*X8zfjWt@><l|4(10*QPe>^5$I*dS45>N0dgZcNFaWp`&!YG7!(K)P
zcJTK*&zbLt>p6LrTx-8jH~v>Bu=VU0D<`7US!5|?$X6ftPDp@9)aB;@Q<l?d_v6?L
zIKK(#1^<JJfFJqZq6rSyR6w><zA?>Bo>amL?7d~!lcOJBcg>NmsNppZSI&g8j;XEx
zyCbq3E1m|roh)+o_F%#7>4h2F?SK&xA`Mn%=8q4AaNVbidb5UTod1`gtNKmJ{>ue`
zK$JbMiLz2F0SBzC(^<1!tFyBEa{O=4_}DPwdCt`$SWReiLco>KRM{DCcDf|HNi^D>
z4)ZKTd<zOf72NEO8BE0T`|LzQv+4RAT&`-;#?pf8{FeqAF{|Z$tOLx5bid7tz*4Qo
zJ$8Y=Srv}>t=|A>(6Dg>YO9=<Xep%Cr+k17NmTFq7Vf2X`??d-L@vv1*OQ(P(ca$*
zYs<kiygInzkP^nm$5ooFCJV)`Cj|a6PjW5w7@&t}T-2?{01T$5JgJXVD?o<bd?2|6
z0}n21#@aH4dy|c(!`=^TV;gsuN>#s5TD^YuxUg>#lz(=upj8;6qM#BP3~bg><AGxN
z5%<*XX%E8CD<-_31Lz<)tekv6g%99#tqXdq(kpX3;4Z6z$Y28caymG{-2n}*807i{
zxzzy}2fT?TRradQkv?KdhT?A~0|zqBYg|C_)1zZeY%~aUh9@?h1W14WT9mQp7}AJ?
zgVQWY>riP(=7;70rP@ldva=KK2PtxN&=TMRBr@QEZ5fgOIB-vwUqb5eTXVsyY_s77
zG?I+;R{s~LVF0GnMydSMt4zx+)EZ;Dtdk5$#j|JyX8{5zs|#2r%0qebSp)gA<Vdkr
zWp|wRJuEi)*PMzGX;DP2O4~H6&^|Fh0)N(7s*ks93ZUWdH%`v1x6sbjQ6e3s101iN
zKmRsqrffJgXt#X^d(5&q)~{E5Tf3k1wZhA|W+BZ10akYCTs@%hJOZOIU<P|x0VYG%
zbKmmyW|jW0Up!qk9&s&osYBJN#ld_Xb4V{HAP%XMQ}f$00r?efU<oE3Y5BP4RyxT3
z<1d3YFA)(Dfr1_Id0W}q436lSYrtek-j<5(ZV}8if<%92X0{1{1@<!FN}FX$N!58%
zUt*G!n>2v_2Ip@5Vj=O_vaJ~m7QW^WmCDc#JC5d^a7MZk&2l;(M*RaUKLJ!A)GQAa
za8f`NY1tAcqCU<Y<t=G`$1mrIXzfWB^j@}fV=u*m?89s&ofntIfCu#DOigd(O#&Lt
z7Kt}D!3cJk$j226w6Y*kPH0W@`IOEQ1;{H0$%%sC7^?qezJUvP0gxcq;<R==AI5k5
zkAui6CiZ-<kh#n3=+9|{O6;CzDXWN5JHPLKVoC{#BD#NN6^di%hDtoB2NQXFN=<fs
zJ)_Sg!c|)!P1Jg5>{npZ_kQ!*e?~8JPT4u)f{QZXlP4&@X^k>HYS)Uz|2He`I9)%|
z60F+quU!P^f5m8dWC9=IFbF5a!vLgqGD|_D3<@Td)=<M=VCO&&okd8PgOUnvjbQuG
zfY&h7_EAXVK->$&hKY|q9rWSqkPOW6H!aY3{$nws2(dfBv}AE&W+tJac5{c>vF{a-
z{ZzPpUoypj5-Q#Q>3P=OtCtWQ^;!1ipM^X|r0IS;1$i%rh(X)=Mgc5EvjiBjBXi~C
z<>h()qj#K?ROaM#X;zvI$pvvp9_az*boIbA0+<T!9Rv9~Xds>Ca=qcj36avHXlPJl
z$sd2Cc`D~Os*-3(VW?d5`;wUNCd?ke%v8P3`3MuP)Xm{Xhd@jH)J-nK+;D$Bt^e%)
z0%1>25G)9xgh1-@zhezGg1r+Uv}FqjBYms}nS`656c>DsyGZfM^7CuSTIqFlbtTYI
zo@_q#Z)*{5@^OrJaK{0EyH_tV$MIo{`*NP^@Kud5%daci(u%ERK6;2U{q<#6R$>2P
zbg;$u{w)6*&{!FPNPs&p8Mb)LJ_yRr2Q!Scfml2MfJ+Tmq5JT;alZLBK^E46(pEDf
zXy)C3IQ~xh>D!mgVoj_eFsKbxFa3CJb?3Pk&!7bEVz6(%b$J@J7^^91*=e9-`2J4p
ze1aQ<J7QuMF6XSv6ouW7XgxhWL#Rm@-;YiL4*Oz}rHyV6GA9o%(HblcTvO{>Br3c?
zBfJyu#3xH%3xX~HN4wAMNY8UShp=PiXcf>aEi9~e<cd_A43z4ma`zIXq5*Z>{wWn!
zG-fyM>MJCUul<%m53r=5d?lOAM4cti-4gq7GVZ^c9bA~BZMP$x!wWEw&LXhlKn6%h
z{`&$*#{A_2g=T%p&(8-dwihEY3vPGEJ;s*@3p0%#PEpxeCeQ_X*7=Cc?+n6H$nQ~o
z$N&Qw=o2~dw;GwOG~{g!z5@{j?~S_)VtOPP+CTHa^wh`fBS1N*fpD7};F_50VF-3L
zWHgKGHMs6Gf0%b609=pao{X}LKI`2PnaBMW)R^}NYls~rN4WwudG!(m!Ds8UAYxrZ
zjR*gj!zfC6Sg$Ce6u|O`#@+02Q*QjY;VKGSQ>?bN=TbaP?mPI0OLl<Zof(M;)7#Si
zt&6*SB{jY&n>mr4;?<swU;Lk?-wN*2yb7OK$U*JAc&k*{eusmiGG)JD`{XJSag48Q
z#fWGV0X@~*^pP40$sd+Ud7QfSXNon(S$|cel-P&j&jqGnv6Oi1yiP(uP%k*k@VJwb
zqvvn!wcBIGJ1?K~@chHa1wUisJjC%I+JqBYcx6UZ44~j5LIpj^CDr%-L=AUgIRKqh
zmh(~b)y-nIezN1)Lu8OcR4kEA$Kf^Z;<=8S#Qx>VlHOc(kzKx0nfVMfDJxJwSju0c
z-ktj?KvYWxf;A^q(R<6bpyikX31%{C)O1jDcHMgC76f;c2zCZ@+zpt|_60wm;Cc4l
z0^P#Wk{fKokSM6BxnxyqdfF-gvgmZ?BZ_F-n`K~J<IF3TfcUbjAn$Yf>_?NV219&E
zP7N41z{sMgne7+uNrBCJ>PQWj^NYB4v_(H;pd&63(2j|FPs~7#(AFDA&WE9JMK7VL
zm4&O3Y-JkRDXE$I+@{Tq?{?dAZny@&)#`IOLVfai1uQj<6c&yyEcmF~&{0xk5seYv
zx>k<uYX(_ZSlik0gJ87hRIwJ}V^#AgR~S}2cyR2;Y8TM8w!DFLGd3JfYUoqD9xcD>
z+&DWAQ89W{a^}ON5S>h$nfJT<Qq>x^Eue?jn`h&6_0;{Mfhty#S5|w)uLjmqEYY*C
z*;w3vc&VLk@YXe?j-<57cvh{V);73F(0$k^9rq`NkRFK*0-xUF(at6W)&AT(^lyog
zo&Eik*b>rND5veL%Q`uz*qVd3gg*+2>{%8k=I2ETTJ=@=z*&!cVp^MawD>cKnHj->
zZ%4g2g$w2KGVF0OFjWOG2aYn}vOx8Jm7SMoo>KVmr+QxkWZ2)+feiJLilnll9iG02
zcc3D%(91-yTTlYa_Q|d(&AtP}PyM|UYKC8jz~0s^K#yIp?n=A4QNYpwRB$1T>M9>m
zj{gJ7GHj*t#fdbWqumuVw+6wUh`Xo?bC7^zc2wKDip0I<2_s@FMtXm~ID%*U2G@*Z
zo#7q|kbSWZZP3jcTTg^EI&BOV@GG89L&qk;_i|jQR&>Fz2-YZg!5ZmqSz)~hLGYap
z2zk4O6yD`(-SmZ5F!<2B2M0C2HWu2u0Gab4g%7B$5+KPh4{UkN)wNJmdxm;sRB<aT
zB4Q6BB}wn$?s$aUL-D|J*9$NHMz50@bF3yY$G|LmTrXA<`rEoUL*RRRN+?1<ve-P9
zP`AbNi+k+hG%|+6SxWVQA=<O_LtX+82?wh4=TD36m0syh``^CU6-%<->w4>O(q&a=
z7TmaZc`?@-#gAgT!A$#ks2g)FeW_Y`)xIqqKBB|BjzQ+z|A(`~8UZ8!P{r&-PBCVq
z=1WCagW}(|1S%;Gkn7^+=7%IHUw;DDdVEBO7M`KKKf+xUeDhn_nC|#5i!8ZC?Y2cF
zv#7v_;|pU=A3qH`enWK6Mgj5svqT<JJ_^Y8p3j4fbwus>)E<eXmBn$U*Ytf*9EtLM
zizbaR8mB20(HkKh04Q`6f`i+5zk*GEXSz;rCAs{_kNC!DO{qpgc>+g1Nk0SA2G18f
z?=$Re6TimOs6e5)w*ROYSD3+`)e@z;lvEexXG!oBYKTxxNy&cDs2pf&NkO}=0@O>b
zm3Q8%{#J+mWfP@*US7cX+;6vLuUMlu(9<pAHobB<dhx;QXEOLId%>O%h}ylrnl2oh
zx>4_C?<7WGC*|>PH}?Ak!;I?(G(TjK54B9m3oGit;i*ex3JK~%B`u}0;K|bhA>$P#
zx-mkJgPv(2WqmnoP%zGc@rZyYa!Owrf#p2%-B}D|#``y)SbsYE8}(}lt{bUNl(lOJ
z)4Su8dD{s--V{)@`SmPTM7lo=Zey9hIr`O_K=?2oS)r#wN6E^iB92u(CoATU3{n0N
z;d=CsMnvrRv3RwQIek8YD75OIv*4>e3x|04zt#hQ$1Aa9V1C@K!3xjm8N?&e7J*>A
zkyi7!;5hA;Q#8vVFdq%-9Z~z-=Msb4+?-SSJ=yaakl%YfOQbhFE0i@|ea=46@98W0
z4b&kp0>0${vHJyG`Z3=s5^wZ#tcdm`#@n$e9>dDd2hG>j*DQJ1#8&Ua2+zHgQJ_-0
zi@*23Y&0t^kr(3>-Sc%+wftUFiGLXAtM3pKM}m{SwhzC&bX_tF^?qFFiFhoEK|B|!
zj`H21YI_OzQeGGVc|vuT${n(Nf@)GWBTd(&<{UQAet+{^i|0x&0=Rvq{gMKjvM%dH
z^c+Q!Dh#%Mb{0Xm6xCuaGD!8_xA?WE>9d{n@i0X`R)fyxJ2%tC<BQn$c?E{C?~1#a
zx^B*5_n~YH%{9iSDmWW!Y?IokdbA10v)otXB{}EgP6$q}mwOe49T7=>=7={>?oJPO
zlf~n!6fVhL-K{Ei;LwXU<vnNqMnSX+yEk3=B1Jg(OPqmq2?Lz{-@>t$TUuv)t*Qb|
z-`THdad|Z7^x-*fF0%LeyA`t1yu+A|c}MT7gA!%`YV9q8p99swrWs)mdZp?f4vj02
zyy<6uSp!_>XI?$OVpR4FP=ajlt}0$Idf(NrE^+^)Y-4*eqNqT7KrK(>#T3*S+Ty}O
z>vU6U2AMZ1QYKi6h=-ETD}hrqNje0KSMYpz?5^O5sM@zT8tX?&^Fq{ru%2E`8Jg~p
zV)x7nP^p~F<p1OY8R=lGmIkJ2Zh36X&||sP@u9L^sl+Ayz%A@)t>K?LmQRK}+c@)z
z7pmM&<PoluObzyJx@{|`hZYUnI|vQcTeC&?(BQ>|jWEj1jjBxYbn1YOjR_~p`h3s%
zqbT^W@|JmK(%rdJ>)xX`O#zu&@k~(T+Yez>DJ|}^w%}cKxQ<-)%fRx=p~`5U)67i9
z@C$61Z%J$XAnR&_OsBG`&2QV=AO8Xi4&UV0tj46&*YkBNsfT;F{oH$@WvML2AAWEW
zugLx+ILE?lseUJD=-__;#Uy5R1~4G{xdc<$DELywnt<E@>hS5I=0(>vxS^FZcbF+y
z!SkslF*WUa-XByYENxA43ic<IZ-ok8E-{;O?1_Vt)xx}MXm<x4bK~pD_%nBIHr5Br
zo3N7F<=iBr9@rv3*fX{Rn*JJ4e57DSo{wJ+(o*QlJ+wLk`~iS!TfZhrLlPLj(^0pK
z6ZS>ZOiJ?>rqfNh#yUmvE`fS9e;#M!LQ45jnsZkrx8HF^!^YC+RGhuo><3b&OP--#
zv+{DWSsxGq=7iawC$2E7t+S2lgj1q5MOnTeX7a?lsaBf*uJP-s5oL2TZs=3_xJY?z
zi@ml7pK*kfbGz7^6D;B^6MD3=CfhEP=XPJWbde8LdVgi1xDJOizjB}g&>bA32}U_B
z+Pg81DPb-}F?3<GBE@C?0%OMA>C7W8xMpwEOb3I&IH;=T(2kewt|+zmaokOu+w@^!
z09PXN)aCLr@G3x!(L-~OO?RkhiQ%Tse8t$pVjH1vm8WN-IPkY<ZEY}7;Gr|cV^s;a
zLHS5Gi2Y^{kLJa&b$q@;xqr>~pWZU@b~72ooOjkE%E2|dmF}}zr-vUe2JaBhBytYB
z1B!~gc}SXflAH6_{BZ4W*zAb6+!X0g<ZF!kLTJ}(E;r7;DQ<WO46~RC>d{*1r~NGz
z29BiK^M2N*2jqY4ve_{Xon>(H0P*~2A*T%myNGZK@Hk5v5_A-ClcbGw00s<dmm78E
z8g=b^WZ}JD^R4OVoit2c`a%hO+?CA1qNR`(DjfIF+hrG}1~LS*4@u<2>REDD?8Cy<
z>HCCrFlE#tlH66hN6iAx9&Plz_^wI218-!GZVZ^h-0hC%#OWQww`;H_AhGw?$(B^r
zt-Adz+^S*C!@`Kx2P$NF*1gKxMP{7yo+XjDCsfW0QwvxUzN3kPkJK^7HN6UXJ9fTj
z$~@SsE?+-gq1;4$g)~aLRbV7!-M%}y`=EOE3SHd9b$>_X@g;)`+Tm7I2Ww<9@04}$
z+-C=E?EH^7Kfw7WUIv}NOc2leRug-1_Lg7JX*b3+hqcqYJq{dJE_vG_s+;jN0{+$j
z!~QD`^uEbuUY#D8DfwBCD{nJ!KfJm#pNa69dH#HIf;s7n=`T|$NcM4ng^Yp~jc0fi
zc#J*eKem6GB<&yY)IjTFgfZ68nMsln9To25lU8Yf5|zVj94uB4;s!Do?wD5FCWCZd
zuzIwQf%0Sp?7UY5N|Ap3>-5+%;JQ-HoJ)A|I7m6nWzK%bO<_ltSjWqiFuT<0#M4Er
zUahj4>$Gpn#>836=DyL2NCr9X=d;C!_odgPGEH0>n^8)ICI0FAGe-@M?8Ex=7oi(M
z=Jtif3QIlKRG61y)79kUQC0728|;_zA=K39fW=}fmDGBPZ=1W*MmXNh$i0Hk-=UWV
z;lFneKDvIhMU?$4mI;ZCff49;uq??8eZ|#N7Fsqz|FK}Ubo+B@k0tRk$VB3jbU6la
z=>8;UenL*P6egw513tTtcYWH<a8%!^oDo`?R$_6-Br2d5c%z8DJ%W_vsp@cgrox%7
z<A?dKf=RGKiy0jTCqb?xRWsvAZNC<Y=>HfL<k%%Og~@t9FSN_=`tIwJTTSLks!Cp%
z7l-ZakVyK+7MDu~Kqdtnw>tnw8$$EjtJ(1F(Zt**#7TZ3E+D=2Yor8GFRvuwdM5z6
zC68u^_*iX7bY_jh$J;UfQQdo-G%fE-5A2i2)ksarJDnLWRzWFlU}mT3vz03QH3x5u
zC3iA&y0;@UT*k;RjU*j!aoTnd2U)<JHGQZG>&<!Bk4A}xE<n5DK`tj@WvCkGqtju<
z=%ubmnLTVep~)+Byp8Q%mzFq{z6dxYGHvjudwB(EG^>FI`mXH#?z|X*+}_XwT%Z0b
z&s5uL^vfV}XQz?bxnlfgUk>u(C(~)EMecY-?WZtFTEA09ZVj-#?GD&q?E1BimiJ8H
zV1xy0iu1^Lh=9XLUdmiu)f+j4&8Fjli~ton%Rl(_IL3(W;H^a32PY*Z{{(*xq!wE?
z>^FeL4y18K_VM=H+s;0x_|ji1JolplVZTP$wcqiZaWuZNNg=*IwVi(Qeu9$>L}4F!
zY;I^eD<3aMsEYRe(on0`>P6y*weR-=xRW0yqtv7@o5%sy>WK6y<YFbQKkqC3jK%t*
zW!gxz{K?D;Begr&?p6VVF*3J2Lk%^p78kd(5Xms|hN*$%1QJV&V`CS2_dmoJH$5G)
z_sZLUeudCo*G2cTP_^wcwLFpliq%_{<O3nzfaKgaZvep2&|uWjH0hwU5BpeSIz0lV
zcM}7;_FXj}qvd;L-p@bj5}?t&)n1wot+skBoR-FwD5J7L>56gG*%cO%DPF4BmEWyC
zER|R5jsj5dkn+{rjL8QI_rF23a-?v4^D`>)pjtzGCH~|;bc#nm&~Wd^_Q^E23@@gR
z8*vefbsL7(tGYgmxte9)+*DHwchPZe`sKS@>J_ta_}6MiPHxPy#Br;D4@>0Bw1DyS
zKyzZlhX^VKe(S$dq$wffo6_b$1w94`<)nI}*#BhBWMf-#ns|7xcgs$-eJ>0*BfH5{
zH4WPiZ8lO@J-ZswaaR{dK>ND~_8TI#T5LxOFa*LQ?++!W%-OwVHj{5}rSHM~;su7x
zhcMqmm8#Ka#IE{FB|is|g28_g#bw14s2|Z(<uQ#mZ997(c&@WZg$!6-w8+dfjgFLe
zX@1ovs(EuHH(0yk4shKO>#IhUCApf|(oE)lyi=iTso!dJYZ@oplW|FhfHN+#qaV(m
z5u3H6FVfJT6XAFaw;`Af(<x=eq~4@x-EE&_tC~Jg+X^f=jFb`Rr{f!FpN%Dx`{B5P
zU{*wv-SHT6scz$5`<1P4FoVv>mmn&zS@(7S70#~(w+{l3!=}@lO-%tL>9b-d-|cUI
z#-l9~i<_`Namac7*GX0#{0?O!b8+Q(0M&uZR}1IU4H@MbS{x|;dz*#01({---F%wI
zX`(A!s8I2gh~V)iPqMPnH+_$4loa>Z`{m43>FaZrR?jY2cIFWAsSXR&w)zbx=0z`4
zWbuFCs}%?yc3W<QNkuO2QBrAjdF2<R@ox0Sv|jW#BS0|7rB5E=mKH0&(0qi5SQ~0-
zdgw+0&I@b1gKu71_p#Y2)*IDgH~U{2xV;kLCvwkYCAci1&E)B?j-0=nSS>t`h{;}h
zq>#36N7tjj#&8_@{IEIp&K<YDSacKK*%>AUYe534!@qghhCat~)vPJBEz_T#C4WqD
zx#IS{z?oz^>bJ!cchO(6Ej-1#`H_|Cv-t~9*>~qkx|x0*F#Fh@F}KtW#yohQG=`8n
zf<IV9D@w@lvaF&*v3BzdOrX&vqsTp72d4!CFxrZpdC{RlIxI;rZ2w{JTNHhTdp`lH
z$oUKb5}e!1jmht^ig0sTQJ9N`B&Kq+s(Vl>eYT?Hv`S%perE}Mixu*;p4Nh64IJDl
z&GJpeEF!D7XQ~hJg&(0IOFi}<#$`nS%ZUdcnJP^+Lxq-O&y>oeT9Zh+EZ@Clmlz74
z0_(lr6}O*kNk4iIwgl>0Ay`rcYf(0pe-Ommw+@DH9s(ZNB4~_T9>$kAd2>1MY^v9d
zPf7GKe(J4@qkTCg(e4iWW(}r=$zV)LealaH=-?pIXR_2*)DCF`I1+^R<w;X6Il{<3
zUA5Onir?f5`F%n(S|55;Jtmu+9vLDTEswBzI!z*UAJtMUf<q(?VKyF^e<Bmao#YCQ
z%xqBp+=;~NN`L|AW#03+jsls0h*mI+w;ujDkzgNam=#}hAo!5;LS$1|P5<S{;|Z2q
z38KQQPhQ7WNu`UBAgb6mYmQL7QO05VDm#Lz&1<-QwIWSKNWOZZ<xpC+IdzxC<Z+ea
zWbjf>I?TFV)o8c+z+<}pMZ*`$>ZVWat&V|xMkx03@}Xb|JSL>EbkjL1)RojK;Itw!
zNRH)4+LGqF3jIZYU#F!Sb2z^8BltGE#s6|<;W}*x@2}HmGjR`QM_K!LA>rA5uy2VK
zNZ6oV(u>Bf@Bp#&BE7lBQ?V8mnN0_BlHkZ?;)&rFr`b8{L(M7CU*7|6Wsa=cjdX*t
ze&QrqkpbQ-56XF2;>dvB?1YEs@Hwu!y(UsCmy~pPalfkYi^;)FfsR1)w1>%g{(_Rj
z5NhhSWTRsa3(z)T%JF>Bpt_k1Ei~xPvz9u4thQZRaC>JxtXcbXQ{S)i$*flR58=lf
z?&j^#MKor=M0!V?Grx94*LKN-QUM-Rrq-y_eX}jft-?alEF9{F%gGd{sXn(9H9zki
zkD6d~K*SwuVEF1Zq4}0GiJz~CwNlH%_V3K7Cg=>x^cEW%?76u{AC!MTRbJV>g+qfS
z4CN|?EjaWR=7i)?B(@sbdatNNuA9u4sugtXNtPAR<AgN*#%yu${ls~E0fM%t!{1br
zNbW66m+~aX1@HC`B5wmY;X5C;OZJ|*_^j<(Qvowie2o>>JKiH1NR@3}O+5AS9EyzB
z0uJENap<Sn$h@RD-v>YBrk21RN2i;Efyz=IWSyb#Cm5v*6}PGHCWYRseLKXIEc2%=
zn>4&@(hY3UN^Qs=<}L5r<L5W?-23gu(Ikf0mu>H}>Kx?Ls5zT7yx2?op+gO~?{2qu
zX)YJwHt!N9C6q2JY@%wN|3!hfR-anCPdHMG$;#%f)*a)a&R9O$NZMupUc|+d9|t*L
zX^XP0=+D}lQO_H~xF|uzuFU&upWIO-r>|*FtAZ1pvJW)0mP~RCtSKE%!PNY4dWnwp
zzc0vr(u3|?=cg9ZM;a<nTz_(|VFHIFZP~~J`DY_-Y_5;yiu$!8mjUD_{D5=l8P4DG
z@GbO3S%%1nRjMIR`}?QQ9+scx7b%{WLy_f#`-WC3cJ@dIw;T2j!vV_;*YLB;!2B}_
zd(N6e@s0Ht4NH+%Lh&l0#jjAL*Ly7z0>3#I8z#$mAM}~M#iTcSP?kyulf-)7^xi@8
zP;tXyO|s&I>qNIMQh3Z)mFy0ZZc08;V}s~o711~P0i5$bolrZFgi622XZvzk(AMf8
zv;l$x0Ym<u*ebmFXUyd$K5hR=w7@M`ztS~*$rQmA6`R^vp3b=F+|>ne?H<+n<YZ7c
zy8dM@dmLGG>(Nq9z4uG!;kmTaCz*Mz?|EqJ#$qJZZ=~yGWJrffk{#TAr=Y;q)DrwH
zOYY1k+@8SQ_<2$%LrZ=zAH-CS%l-?51Rvkk63eE}ZR7f$dtag9l7r)~(&g>-b1yJ^
zb~4)-WEr^@Ukc1=!TBW3Ot#GnolfTtZyR@@+&4gi^z54_V^lJQlw5os)7?|ZCuZY#
z&$^q|6IQ<n{2`%;bzb@}7r_40Ox<UUXj()9?Nbik*XcN)>q+W$ua4k6PCO>xw8ml5
zc4;q4_PfYs)Hnp=96!<;U;~mzXJIG107|A4BMZ7{tv-eoXZk+P-w5t!lbT~Z5!a-5
zg-;OAb(5NftM;ZQlSOO{)X!}429pmTT|Vvagg3+&&sIVAzwsd!#AB`tROM7`-}4;R
znT%x@6d;SQ=Kfwmm4>fO7=HgH(8~6K(JM}Cok)4u6uBl`)$2AX*Ily@1{tp5-lqJ4
zJjB-{%x_=TNUxJxZWPxMz+5JspY=YQAe0)jDK7kM-+ex{&T8FO?FxT{t^TOF0})r8
zVQAHw-$M&M+f_zagrIjm!??u{F5@d(leLd{<rDg8HH$pzvl<fMq+S@;2uYO6c~t$H
zRZoBuJt{xy^v>(Wa2O$w0ZDoO(R0jOZ(hr@oW!IZ1|+=&-mA~~-~+LEvLdQE@F47p
z4XT5Dv(H`2I8OHhp|K|945(#MYYV7XZuI?Lvm+;GY1@s&pL$lu1JZuotettSCd%R>
z>T6-r{oIP({Xa$ue_QkG)jIEQPyv5f<CLCUNg%OL%(}nP#M9;wx7<3Yd|REW*OJb3
zcQfL5yrU7DJx`JRAScrdjroo*KmAal0ZKa1O2fW(ziMal8;7^-AJb*AQ2a3t7acDy
z^qkxyD=r#>kOLIi+3E(lrRoMtbBlmD9V2zo&Wm2b+01_K@v+~@x902*WlZ#Bjpm}g
z+HZ;cW=N<HiZ{-1BKY{8%^ju%`{5Z>8!hhwl2lIf`h7hQ?`2I&l@$uep0YiaF58Rl
z*lK^2+47dEsji0MeTwCY8G$5;%6^+-EG@`5)8k?}zBzc)<aRKh_#=38z^m=%kiDa#
zXxPb@GO_qVrL|_+{MTZpID+%~`xCniQu>wHOpE<cq%-4<+wlzt3ul=$TbVITfa~Xw
zf}@t|qPN+^ISH`~8`mb&xPYb-EUwaVy|OUz+h|(plR<?AHvv9-#6s0?<a5+K_q!xk
z1N;GFr7NmF*|(Rp<aLBksjUVu2_%gC9~oHjv_8>f`Aa_ij^wY=XE{5_rKegLr@s*8
z>5_@%YvKg+v#)asEa&gJ;Oxj5?^*sUN1w6JmYn2aIcj_B*W5r=qwCkUZoelgXh<Dc
zW*A$Y%S@!Ur(UQ&i1ug2!R*Td_tnqQgUcE8ABE^cfq$?8oA235#o8Z?g~Q$@?@pJ_
zxxWdGv(T;ZT;)ssVNUeisJY28hi#VOUCa>m#tmL;Q5)s!<!v49vo!3+9cAzF)nk@~
zy;i$57UA}Xd5pbtuDutQ5A0+uAo!sSaG@jr94|Dq#+8@ef{i)!e7_hkPJl3w+gMxN
zb$5Q=Sakj%pbo$@^9ANMXC)2-;V%2?fEd!visfVxmhRQ}<u}$_*9Nrb&`?HXduyo0
z^0#GjGkzqETcozm56y<jQ(VHG%eob=<J19$yzF|FEcE-@qZ=HOnsKH<j^>H#0)NIZ
zckr_|{FHl_P8P8n`F5we*5tma#=PSpn-D)+>x~szO*7i>GxH?Pm2K2@?ryoA<D;CO
zDqXzF;n97^K;{9o5)`$KEHh$qIMe$-p?KwAU$Ri7%HRBxh`0KBHdK2(#FELW5PVkn
zD}MLfKe6;;$Zvk}ZZrK|A^%bKTRwDy7Ww3YlB0bf(htcgH{y9*Bpb0yB-@XHX_F6~
zyA62f>IsWN9GKOhcARl5g^zH3{r8*?PyJ;4e{`#gnY@NzZqC+Fe43W}O;3Y0bo-J9
zOJqygc!VXz>(hopGk+1qoeXrIQ~UG)b$PnX<(K<p_u>8vv9wy3^9^xW>{M$5SO*e>
zvjfK2WAlwx^Tn@_o4Bo!$BDMRR8)zJD|yt(lwWy8Lr?<`@=_XimW1DbSo(7{UD80o
zsq~3*8VQKv!r|#mw3jw(hcOFJE67u)jev?s-nR1y&Yr<XF*A@Xm)qdv<apxj&+U?U
z%bk0a74{P98AALwe5D~d4MSo;0}0?xw_i`V;E%RJH_N>V=<YF#q*)`&CZ-?Y`>0-W
z6$ZUZ_@Ep=8xTx42k;zaJ3Y6wb0GI*e(C<gQWUlMhw{ngufV<0<sXa7&3a8K9&ZAN
zLITVxTC>-<7^GQtS%T$qkaBDB257Y7YfR1q2G(43pBtzA07RyK>Y+`?XT5o2eiPW@
zJ{hn}Qa1N~z#v)8TTN3~=PhiQD{5llw@S#6DkaqvStC-3C3R(c>!w)*drd^jv86U?
z{ZXcL{O8NPcH((F9VfHDk@#_zL68aHw<`ml**p?}V$#_=Hc>mUY#M28m=VsR##X9I
z)Hu}HBGXkNDOsy}6iEmjG7=LJ5o8UZwDH&c^jNm~P4T$8DTh!WBV}#au=Ryr<+V5Z
z`VdLU{Wdmd`OdpMd&%d)ZZ~das#BBC)m$_Hk~bmcM6Lb99L&@wj+G9R#FbpGgRQTC
zR$&oTJ^edg2Tj_i$e(@}9u&=m)w3*CEp|!nCxyqWKo?aTJXhZWxs)DGW2+>#aD7w%
z$F&z3r(dMO7nq0hYW*U;KocVT(l~+uzL$VX7Msq`4e+KrwusGkEw%TMCM}-E>vGMC
zh~wJ<TZD;3bhPZ*RCrIuyB<#a!`4rwq!!G13hmM8uyfwrJ5}iB<XBG&hcbDz;Q`AN
zxJkYNjylky4kt9j?T=3Yx#HPrJ>!z*%;URM5jRxmCcAD!>Cr~=rVlr#KxKw--m3DO
z40w5x&o!4tt(yI5stmhu@R23(r>{1Nj0V~M{-B$Ahmt~|x96hBYVL;hr>NU-ae0t@
zn#x0g&cRbRAygwNy6<#Pg+rtLxSX|a+WDR{oXq18tJP7q5<%}?N)gAHk$kjJ8|Dyc
zijZ(Kp}!uiSZg?1>0xv$y{UL<e0|r7F+j$^)`mgwS$vB2m`{rM_D9HiTsdnJq#gTB
za-C6Qe(`OCu+Quu(WJ2cO){6Q2i}O*Kv0Tw6dsVV1v|$HWCChGee{?m9zM32_WF|0
zf(0n_I@r8LZ59#fofC=)6mco>F&Xy?r>6tpJZCfvNH8leFM@ywj7-zDG<HYfS=<8;
zVH(JO9&cXb9A7d=fo{`wpaB!V=<ZbO96YD_{j83sN@3O<Y>yjN%!75xH$BF5Mtd^K
z!U0dpB`Y>q`VB~mRl*;ohZXEgu5r09oWunGv|bL+6Zp*&D7)0h`72i%d+u+EOwcxM
zi5(}v)g(|>#^Jou@rB3C2As~>)(cj={nWsLh~T`c8m}8Ram{NtOmr4{y#egSh?goV
zZM`!hm8TgQ3)@FHQPNqTJ(`@TgM-a0^n`>OL~R>gCv&|n;@(ZzYyIYaF<$&)accU;
zi50+a64;oIR-+_+;d^9>cdJcSZ|a_L+EI!GDCi}vJ{V*cU<Tl^tME98R3o2IT~dh^
zrUf7RQj<L*1Gk>{MU`gIpX!V1lMuJx+}Q(B$;sbXVgkXb+{kuc9S!R*`DR;`(gew~
zR9Ngxx;Md-de5oOdFIH{D<1k&azqb?Kju`FYZYieSaeSVwd<MTn^UE;4yH1t+pkGK
zeDPp<X;6XrMYiI2JvJEKd2xoW_B6yvna@{tDb~_9fA*mEdwX_k<%MiV62?c$HU)K?
z-Q-tF;CZ?U>YKV(FI94r;oNE%{Z9cd;ofD&aAr#BL}Q0o(mS&N>g1xX-&23Q{ERoF
z><|<bhf7mOrPPy?ay=EObPbe2+MmXKfCq<<eO`ak(=&To3ZDPPBGu#S^J6927PXR&
zzij`mC!P$Cm+Du~={W6k_|y|-hg~(>Qo~1;gx&1|a456xa{P|mw9@V#(N$x_kkQ{K
zunqS3z}P1F@rGD0V58JQ%j}3rXWos;`c(S!R=yguNSwdzvZ9GY$?0AVKX2(wy@(Wk
z)4RE|gLWCxp*-#Q)(qO&wwKL){2Wpk(drxxKTqz!Nv{A*{^j%GKQ6vu@KJUciu^Rz
zZ=-8GqHh%7?ubAL+H~kAZP(HweZXmh%CdhKm=?yQ?<Ba0FL_J}=+|jFMKJjORf=b^
z^W55gsd=**OLrV3`Mye%7-09X7@wF^qqOg>62;^`D*VAV?D61t*|_|3+ro{IM_{mG
zwe&OTASKXjyWOEQ1mC14dxc!K#wVx1a-N9c{O!j9bUWj+uAH`-k>Y2^v>p!{VK+85
z%9kJHjdO#<t3N{Od$_Ho$|ZD}j)v?%M9?Wn!`l#Xe-?1wioHI8;%HtRi18*pF)7B@
z*1A9NuLNz&^z~mN&@d*#0dH(cEVwHWpR%yyEH1q82OMWY^&4!|4t*UYfQ0?@d)?wR
z8tvn|H|x~1oo7R_mhWORDKV0N6EKb9*Hgzq`p1}&GHS8)3}ul6qO|?vQ)LgP?9IyW
zmjZ9|>dn?N^zxT{ETX^!ou_zd;Vg9(+S29p{mL4kMSpB?Kkp7y`4Kbmd+U;3xLaN8
z<WB%AlMMr7oxC{BPW@m1IO1oU576TwrO9RUrCOKPr3>Cvy}$|Ims<}ib$<!pc7>?g
zrIFJwPL-+L5dU_Z{TOhZMJs{DPa(G;!pT5K?k*=O5Jr7*Xx#Je9lD7ml~o2N#>TYa
zkS<@I3oD$8Yhfa4_iO93wyI{cg?f(EC62~2TIefD@LV*C$r0>)N5l2}Sf3hXFviNz
z_L7l@^;YG-sXH_+b_+LpK>F}mMmxuKC|Ba}MQW``*b69UnDiM-8=FKEDVA9zo{eNM
zE~*wilM)wC_GHZ#f#q)^F&9PcSHXAhzdm4~s&mEqC6m^zMjA{f$h8x8j#H5)Jc(+0
z#rp)PCpIGr9NAUo@vzK%yzAji3Gg8F@hWTYSXSgQuW;rYXBWnJZuFM{=u{=f_8bzD
zIb*v$j58}iPR5Mh30@kP<y&+aL4qAz9d9Ii*>$HN{IOKuyoBL1Alsw)&;9z;en%=a
z)#5rU9*lXI+ubBzbiBSE58{$HO^QAkwdo0dlxkrlDzPp5zHUdAgXY4(ejtJQ_o~-e
zB<u+~VCoLGzu#zrZ8a<3ut*<lz_G79!sTJ_Ui}=-?*d{?t9hkRs;BCSH;hUfXJfy_
z8d5+~U6iG5<AMiU6=9KbGUKJIpq#o-Jbu(V+#MypMQ76^YikWoBzXICh@)rxDAh+%
zLOJ8$oM~;G|4RY%x>(h~Y*+oun<K+EKctmo1+C7PI#bOes1gE}fAKfhQNJ+d`5Sr~
zSM|IDlj@n?fcI;()}MXTHIqVv-Z%KCa3V`WqXt!2cOOEwYjAKXYTfJFCP<Ge)Qpot
zf(Zjr8e@xZf9D81ptR$>C0N2LkYN~CD=AI}N5ft%mbN3Eq;&b_{%h6J6<<4%H_!Mv
zLy@+hu|1YBH8+*Ef5$Z@&-?Xt)Q&rPyHYo%4mp~vBKreMhO}~Yx_F7O^GbHe2VeyG
ziZg-WBgMOphCTm?cYH@2A8Q>fe0?910Xt|GLWJk=lK%1Cw=`L6GUBWloW{5!7};lm
z=;LT4tEm$ChF(jwKpyw;t5I|#CEmT3eM?V<0t%dJq-i{}ZbJP>l-8=_XI_z)=<@W8
z%{-HqPd*%+V7+)sER3VG9v;xaQ_auoJC6Iu;QdvEy>!;G-X+QUd;xv&Y9sB!Z&wm{
zCE~iJ<!)tvRn%OjEDYj~6Qok-VTR4;0o_TB(f<9{>+O0-MkXz`0uKO3U*&nBqvW~I
z+R1S$r;LJ2?G|1SWiUW<atA1wB(gJ*KU?kDkCZ`1U!5%^d*(G^>Gl%ABrPqKWmO$H
z!*E~9@Vw)+MbGk6srsz(FdBV0yR6x0)*%2w6tx`Lk{LvQp%xwJwKv1SAM<se%crHY
z;#NdINJ&@bx&1#4Tg0H;_7x3dkr{{K4;@S#RR~JObut-k$iDEx^0h^nG}I;Vd3!3N
z_8Jey<={R)=>J4!)9Z=6#&r2bcng<2v}v6pcC~z$r#?ssrX*-|$7lvR<ZSf&b5$*V
zYRfdwqt<e6IQgJbz#eKEp~}0;k#kD-N%~=O=r8<XFAHnyXSvnP{-;`MQz5Zoxz|Ef
zpzR|6T_hle7)u*eAm~!zGcVmRJsSRm&{Y4}VY;c<{Y7h4f!?42V%et8Wi4u_&5N9k
zcF`}O=}~lh(D7K);c|n%st~On$DvyYMj;Z6UuR%2Jdo^i2_6B&N}r`Tc-NjK6-qNa
zp|f%iH>o=Hk=zi@`q}wgx%)2*I+-gI%NOUD<s4lVg7@YI_OEj_2~tF+QXcSFxAn}w
zlDQ+WYYx@EN@`g`zUI7a0Ou_hgPF*)2iwa`mWSOz#}~8e%R%11Vz^)5i0}lXe#Li>
zP9#rcf%$esMv%Gp;2lOv6yKbYrkSb}i;2AU*EmVYp!FA^iC1-5#)!sn(p9NhI<%ef
z&N6)tX9?kIj?Bp4!-n%CqpKL=ky~SEPrhuxNm&0CmDm%TyltO&J<i!&&-vWnsA(Ew
z71b~I7cClTiutUMEozx+_7rSv(j+7&-r~DJwEaz_z9PWm(HMOrFnYXabErwlgkbX<
z9&3!$LgCFqB_cK4J$O@-TckrO{(%+{Kz2t%@2tN0lc|E{3ibREL}L%qCUSRgHiidp
z?|WNRAo68xqy_|1pI@4UY8MmhR>*VcHI*MsO)ABaL4-xhn!4vM_6z*&VyS!O8yZq`
zYD>Q`;AvQrH9owGB(F)B4z7yQ)*<xt^@46sl(?SfYLJ2{Rq{c-LMD?-x_r3M7VB$+
z&ZFjglXwLQlrU2CTCc0LZVG@F@=z*;;y?YJ?{cQ2J9?hKNf|Ctx5E-yPW7Ng!*+>G
zCSI$5d??m~72#62@~hn3(7om5s!B(~^*He8CQWV%wc7BvgN=xNdrj+9gA2S4*J&5{
z<W$&x<TLWF9y`HP9lwB!x)6+J*$rmCHz!EAVW#qUee8E8f&f;1JBnEUP``G+d0B|&
z8K=laq_3$=%x}QTttU3lY{X5u!Kz~@lbit|x=O^oFcg-gGcCH#4%MF>Reito=j?7O
zAomZPF7thsv-AkY{Oy)NXo2U>^RR7wvwj{;wZ2+*jI4?Sl>^R0L3{(}oYCcTYs4H!
z%WL;j#t<_StiE1JI2#sh6m=1QBp~*^sUkuF`;_T5Sz}xC*+WBF&wYB6ZxX?DDSYJD
za!<K2bKWyS_n%CS5eM1R4AzHJ0UZU-!eSqyeWR0&Wc_iFQ=I*aqi7S=cH6(7`+XDP
zU_=DLC6GnUmBvSf3U(N>mE@xGmt3~q!EKnzYF?NK)ZxrsI<tJs8`X%@4?vVQ;AaP(
zAKIA>*qdwTMG6n|TAG608j(l|O0amFxvK5U5wXjUj`ug``{3M_2XgrOVB;Ft-tg#c
z9`98j6me<kd)U-J-&9qb<rrI~`zS7krFVPTfH#yN$o>I2PLs^xmbct_zrG!e?ffRP
zWza4a!p<lf14{k^nT68m;J!)AFD482aLO|n``Km+b}65z1GPg2H${)at$b;t+ohY#
zoc{-CL6^SOFm3s;Op~Ybn%uhU;KXZYPC!YwJP-*G=s~rjuER`m&LD_1bs);xqxao{
z;-dVUy6<kfKG7ERZXtsi()b5G$l(2I-DPDX2lcWlXs(&r(oZ+nH7Hex?R)jJbvbxU
zKArv^gdi}4w{a3>Bz|AJX2bm2)ter%rvtGpwIn2&=b5{Y*Vf>5&$YED-T8qL)PTnH
z6@5iz-RCf8ndw0(5t-C1@kZ_1jq@PK>N%>4_)+hIEQ~0wYN}&EUwPki(ge(qJ#`rX
z7EK)mVp{#TcbfVIGU~!d5oG{g0Pqt4y8(;`@LI|%{y#^j8hC{e<2P;E^p)qHdoI%m
z&L61!I~97Hck*0$M|L2Mv^Yv->TPXL1|}(?`m2_!gwMO>fh3eCDP%ze09tX=fn;7&
zOV~LZ2g**Q9e#{t!dZZ@EYXlo2|sFwoeWXmaOgj_HZ%r|2sUo~!rFU&_wsg$4a(Dq
z=#g}F%@hee7FxF{lZT>m`pEMtri}<Y?S+Bh;4-7mS$uMY@&0i0DR;u<H4MtZ7@Rg%
zyL#ij3DOTQUbQi7(Q4fXHvs^FJlfC-w`azr$`D$jHT0dwINW&J5!9?(r+}HZ?K*UQ
z{qBQ-9XLJdlggDQ7DA9`<tl=6I3UVZFEHD17`$mCu{+GDuy3|<*^pReU1WrI8ApnW
zyMhP2N1O>a*m?8j6)#-4@XG4y>b2F?)%DfY)hDW}t4}UkwCJ_!>gumnS664`miT_6
zZ(q~-p?|;B5^hleI2gQ{neSh^cC%+}Vy4iA+4S1)u8qgEzh|k&zW@O3k`7^WOaLH^
zUKz6rb)=0v3;vuOssC_UXYB+>79uCcw*owyz`yX^htB}&kvoY9h_-#yp}@U|>5GRg
zM1)8`w<6#N(l0NA*RRQ#L4Gn~YJ@?Uee5fV*~}ijd=Z?lWUvgqdC|<2tQl|6vWzKM
za-FR@1PzWeCl1BTi9-j1McQ$O$lbc|XQWA_-S*Z~(jrp-6@rk)7x!R!d6_5Zn(zjm
zg(75wE&*O6wh3LnM%skev&g<k*Nx1g+W~m=%Zm#^^c|S)i9x(aZT^BBi{i$7Bu&yT
zSU8iUmHG4M4+C%=fc={`Z3<}2W@Tml2!PJaU;d!PF_BoAUgC!cey#Di!e+u?w{%zS
zf@zwnEW7`6*IyS^mSse=FDBMwUjSk8q6HO^^;3jEEasacI$jLn-Py{OD}`=JhY1*(
zp=p6JQudx0I>cNa^zGBr^pO`L%oyjn8~{jKON7>h!Al-~a#-!^4KFQuXhW5APqElK
zMWKJHmCFKwNJ9%twW&v9U2#D!swa<>I!1D&--Kas?IW88);{t}hk4p?@bDmiHjw-L
zh|*Gx9y@mIh}Z9Gs_o&I4q`3|)2BCt!X8Fx2!j^@=FhY@#7V8+)l|D}cay$#PvbPF
zP6`f1RH-fcPEwM;9Vj4q4Pn5{(Cq&!ZZB6V>vlw43#O+5uI=C7Y)YD<hTWfTCN=-n
zG!;T2<i@lt^Ye2ndF(_>akp-{X1$X^OS=$wnt*R8?c(bIuy6likCC5PT;P#8Y(GgS
zG(Y1e_)yfCYv66_-r|hSoFa%k8%9|B>cU44{{x^3z&!wl0oaBNy%GL@MW-5gH*Vax
zr!(_=zw_@@$ogpj6eLbz+?}4$#?QcvLd2*L?ESK0wp*tE%nXWlo$Zb^?V#*HUfSV@
z6vY`ZNLq|?2VH!f>p<NBx}AXg<>T{axQw%-Cr)M(NFgOwu6#C<ovegNG>jPD52Hq!
z_Jjfb)6Kg85CX1^ih*~WNW2_w0B=6k>MX)oVOgut9n^%UbNVs>5MiBUbRqfQ$mqA7
zXcPxPYO*c#p4#<}MC1ni?CzB-SBk>J@y6R8{mn~E^ixZJ$%CZsT_?*L$AT0HkAXMD
z1t{9U>(qVms?C=IJkmTYxw#q<5!Vmd2Hs$S3d9cG9B9&_=*Xci2JmU(Ou50<)YKHJ
zs(O%!)&n@AY1+k;Cr>VzJb7|HfNO|oHh{MmEn4)I&M5Ew#?voso9sWfbywq0Y<U7<
zAP%`tvId{pRU2l>9tA}Oc}oF+1eyJs9MCIKKuTrZ%Su6Gn`Pv6zI%@jp`LJ!T%+CZ
zRAIf$)-W~LD?wmm=etLoAXi)dxqC=qQ@pKm`baC^_D}<F?#bdnKNhMl9`aQtGg`9A
z@NWLJON=fMF^m)%yz^GXFS+0@kH<?=Z4Z@b2(YgVNuoj4;FUZXIOGnu?LIiW{;dNg
zkj9jr-SV*Fx(h%|tD~wKQ^K`@-)J~IqjLO^sLQ1H<J?c=^JU++tyI>rGGn>VC6yv=
z<}!mfp~?~s<R4ezcxM0}-QCe6`{N>63shmrP|Rp;Yjcd?S6wg#pZ?g~;3gmIZia?5
zF6r$u3p(TZRnKmD-n7!UB^1KV*UkR+(zP3=o7sA=jS5&OLs*nLkr5xQ3&5Erttg6O
zGlCyQ$U9lTetkQDjQ|jf#cuSUKO2xNl-}KUYwjeQfNoeYGaiqH598Tcp~HY52D$wg
zF;UupRaad(3)f$BE_{v=cHqZQY#%jBb(qG2)G)6H*?R&2hW9DPq#^w>(gilGKAa`l
zIEvce)77;ARkEPxq{Ej20FwxF+c)#`{s^DPCz5Pyi_05mGIT{{B>8P5Rc9@qt*KwH
zZ)oxa5vGVT<bEkkV$DX2R&*DLA6fnRkNa+f)F^#=FByr_J$ntrj{pGa>;_s6@zT3^
z#u%*s&azoK*+HFUr?kLW6hVA)*VC;4AS?r~Li(2hxC3Z}eucd`A(T-1vuWU!7-H95
zbq;R1VA?&)=T#yu$<fDSv0j%gs=}m6L!c<i`AXFa@B0Ir3w6dg065jsHrR7_#7U3r
zRK6-=s<%$*q6W2U$qSvd6m8&r=fIH+m{?u-2%sK7Ie>2<Y(xD+h!2eR(uWR;5ugXg
z^4dL2E_osxu_?*`{F4a)LCrk?K(f`+;0=0Gq62QEukG8H)2Bzbn7v?W&d*M7;7v*c
zqAbfm=_DE=@(XiW1Td(tcMcZiqLnG$DLuZ{e{AQ@omp?}JUBrMXr>ZZPIt$OOqTHb
zj-H%ayL#h6K+N%GB}_wyJRz9=DaWXr)D3s$>WwNaEy%;=0Sv>)SW8!_ta~8Sv^GN7
z<2L53R1`hO=~q1ZZmL&T>-C1FQS}XnUZ~%7C_DtaPv3D@;rIeDx)D(%#X{G;F32P?
z)D*?LO10;Co(VTa7<eVOIwHeiaxp0VKw)c)rj}?(*_wLf=i=j+&Dr?Io`Wf)_jVzO
z_d~m#h#uLzdGqI<eDcZtD_5>GR<2xWY}&Nxt+KMR^NDCLGk>AFx;m0g^nSy)C`F>~
z001BWNkl<Z)e_nE{_^*?0-I<=xOv<F(^WA^#+{G?4jKky$*K((fap&N=uXfVe@_}C
ziNV|b6aknH04O}vt6NT%YiN`^SzU3*1m%R&KkjO1oUXR(M=rYOk(ZmAPdIE|(%p*_
zhT*t2zP$bIy8&RtaEnAFl+ZyWY(ph<EDX_OPiYXFwtN`o+~j9odKWkBUGS%3@Tx~~
zPkVdfar<|Eb{yACn{+-9lxRq0d`o!B4AmIV-`ddlt@=HU)0xHdq^Ua~<+tWu*G3c-
zXiJk9p3*oXV7&0q|A`E;F0r|6y-WA`Zr#;**{n$(5946ny<;dq48<}K_+6_tiQJ^A
zVQwC-QCHTj^&3@s_Hg%QnMj%w5de_`068%YbEl5P^$RL54HTnDOI$gqj~Q#hVlTdD
zU3LP1;Y0dDQAOS0(vnxUHZ*;)quUbzphiZ>>OvIGAZdjF*q&K0r%3l401#29dU2gD
zobG|)jlp3Vw&ZW@^7AJ}v)84mV_r^pGRuhQ^et&6^Oz|oI}76m^unZ3<=FJVr|{*w
zuEwD9GRq^+`_XjI%fZ%$#&2F$Jg7jovL+_=N56b7AcsKgWzSzUei#-`8<lBLT@R6?
zTW%IsE?tCyy~ETg4BPUpVd^rEcOfy_!ZNSl)%ew=7gZoj)7+F6w(e=1mYXdZ)1|pI
zL10+_Qp}q%CS?Gu(r)<xc)fg#Wlt07v3jQJDLN?wm<#|z`g@%fh@k|$V*pGW-gm_L
z6{C7f2~+p0()yG=ZOB~*chAp3Sy4W|zT!#@?pIn`bK$f=FxH}?d`y}!1j5G+i3-i~
z<FC|SyRD(|86iZARkqc*Gb7K~-xom-JOgR7!^x|Af$Qvf%?vjbN=|M(4**6E?+*|^
z3g-2W2bLEq5FBH{q<bRECGtoM7@gA%Lfp&#%kWAxc<|F-zj|MqjJojAz;XZ$XS)*b
zC%PtNX9^-{;PpeEP(<vvTG~#*vxByTygQ3E9AflrH&Ts;K4|UQFE5`yx@1Hj)0mnG
zbC5L=F3S)SjWi=ry8S!znT1Wsw(V}bq`sl)>EM|l7?$R*gl3VyQ3&zI<rSkZ47*0E
zqnl5J(X;8;iTMDE!F;ovKv8(6QnCDxO-D~S20KOQ2b`=kvd2db>a*<x^1l?`%<3{I
z$U*(vhlX$4-E?wW!y(h~Gwb$VN@d-XPJ-+v<)qQ>yt{q9db#gE>8-B<{y9K1K(r~W
zEW_{`BeLU~W08%5;bRH2A+Z{Kw{I^NJbGUd!Hk%~UC#k_B^qSLmHe!2*VkZ>HTQQ-
zP0IFOJ!J%h5ElwVWTs!-1qbhkcDt_Y{}Fcl;fEhiF!NWfpAVt~8*OJ2?3-|}T=}f}
zg`Yk9`dyFz?rU;irXYgt;$#G`!Cb&#GJ_+6;4EbQqYslbKDM}2oX754e9p(_OfHtL
zb1E8Bb!P#g<h44REQgOZUofz|6#e^^RJ{FeQ>X^JTz*@7(yLW&=%M!*rX?OW7KRP2
zlnfugv>A0%6ovk&wB`NTcgic#p!pVHDKvPQjal-^o6enr;%@nmZQIpU8J0Y%@<K8)
zuoPtN_{mo1c@gkgFg|N#<XNx|>f>&{79Kd@ea6hRbnWK;s$}3*)JzS69?hwc;4^sg
zho5!#PRdHUedf~Y3iRj^SWkN(BARxtWe{4rcCGgKAGiD>kf3I}dtviFDU;|=MS;ZN
zC30*eDJ@F!h9FA@UOhpuq=8t<w`SeC*i8>T9TMC(QXG`+aVIOw{Io8fI1B{7ueivS
zdQ>Xwo>>0PCjwF3{SemsWFfj3yk{9TH8lmWzE2|B9hHuVb^rh~Pp+w{IqN}OqnM|*
zhl9vawp*Se{^=*5!yPxw4ND_SG(aF~j%VWL2Y%CYO#f1xGkOpnzV}A-EiS^s$s;js
z`iO;L>93tN9t7N-NYGkccjB<Azj<MsL%<LuFnMqvRE+3bUb|}3?Tc4!^p6W3C{-&K
zC>3=N$r456td-1%Gk5%O%osle-}%hdAvw7BsHkFxM|+n{1Ml{o2g~YrHU0OtJ%`6y
z$3Gua6%4ZUj|t4oEb1E?bu#ek<6mD20O(O%q<~%Rb`rqPzx_#kweAXZ&od8;5ckpu
zL@;>W%R3Te&AFafwF8jah-)e;2K9UJ+qYl!6ZdEa3|_mU@;XI#`eVL+)<k?_zN<{2
zgvcgcT3vzh;|5~bkj!GGO&H$qW(F=AHlWNVvY3OFUwSD5mD5LJ!ni>YN^sKR1d^7>
zEHYUv%fpsud-3EVYhReGlldHd#W8WxbFlTOXi-l3G<btx@87Q1Fq328Wgju<s=3oj
z>vuLq>#lU63m;Ns<O1?x#pKD86G-t4wrtsQ`k5y*C7{4yP1u>4wly@p44bu-24Njt
zcD8wV$BrHGmRQlB4dBTMSAOvc2oV<MCP87w{CO*!tyg9ya-+ds3;+Xq7U3Uz4`xzD
zsERZo%0@DSmD4k67$Ti5B+6vXj13+35}b2WmT1d=6@>K+Tm%3)@vL)GU81Q9%KMk%
z-!B90x}FmcS+8o=nt4ER5f)4ufsKEC)2bxaf(Qo>9z~C$U{D7}CXwOOMw*Q_D5k*8
z4{hkD2zrcxFaG$Gm%QkymqMQ-Ae%uC19(J9CVvRvGAF@NRVYT5fMO~a<en^2Vaph(
z<Q0_w<y!A42N|F}c8VwwPZ7omU~m%B<Vz5_l3~Q2HlwHtlI*x7*%PzSXGFlKZu#-X
zd$~0b1vn9w9yK)rd#%4uD&ZQum3L%0m%m*kkRo7P%w?60uWxAjc1+Q}HL`C(Q&jpc
zxDY~&x0zB47A)x0yw|T^e+=ortL@gmMKv`w1=clZ7rt*OcXHOei^dI|$iT$sfG^pC
zjNN<Y$2y{`Vi*RS>`!k20WTC1s*@zyMu?dPra^s*BXt0oS#usW!`Xa`sfw@-RGIW}
z?TKWehvFI6La&OQXuT4^f7-ua+jXedy83^f2qX+M@RDm)lgCz_=^V>O>5qu+$wZb*
zFf)OOyf-2aGcq&rP&WAAGRKpdJ)IyMhV5DJ)8KU(yv-+DdKBhLEI4-OEkqo;x2d*j
zJpfmauy)PnpBmune*DxM%Wgd1RQ(Xq)*Sy02K&V*iW7j@v&NL?<!0f$IpeVYmoJ3p
z$P~GWI(&Fvyagbc?0v3ba8)3|q0t01nt!+Ub~g}H?4h%~(Jik(Qv_y;DI|2qfgJAl
zqQ{AVHU{E`G}kI@ioXnzoOJU;8~Q)G{L;*rq4vG_UPVmvd?DBEZ#tSbD~Z9|W#B!_
zICbh&5Bqf_lgY^OhKP<xMzcHsk!hz+o!U>=^{HX!_U+p@{P^+XICbjO=~o(v>g34w
zVb8eB@HN4YEv&?Mmj@CVV7Dh>PSvXbv6$Y?HdJ~_iXeB`JeNK19=W`~wfRLp!{PYy
zGE@yOM{9dx(~JMuot2(R!%u+#wep~|QB44;Rm&@z4mVHg(Y*lKar4{lo*z1`mWT7W
zqR>CHvtrOx6)~0QT>wcT?gzNWFnAuAyJNRC&9ozVfQ_wt4-FQU>UeoCQ*G{<AJ+W_
zgix7_xTc~gHyc;a82`k^zrKn6M~+9{;>wlJswTrTq#I$A8GYo$sZh^W8$yITcW!>Z
z{_@Sgd8O|q)vmoS+pnn%qz?`*c~lTd^LE)YsRPK)36Nh?_Myq7ZnLe;f!Qx<k;2Pz
z;)KE2wrywFgu&MJb?zsMOXE&Bqy%bq7Jy?{e*V#CswND^y$}5gt?h}>=Ru4l3`00`
zk^CIeT7-udmyVJqd#@04q$j1>KKW&QK*$wc=)(Jjk2-_*x6J$-|9`r!|LNGV_qYaE
zy$qh*teC?Tdh^hsT#(nen`&keHjw4y>=FQQLhE(`15*k3hP_bbfCY@&5z@ISN7>P>
zc`k*k-^twc5)F`DGRYfcZT940xc1_VY}pQy24`gS>ntd(dFK*%95Fjunb9k17w67N
z9fjWZvb=cGa43qvd1D8sOy417xND1$$wKd9zn#*BBIx@7&LcD8WIA}5S_&n<r(`Fb
zw!e1M%j+=nlV+NvpVjU#lp?f&!>1RiW<LHX@hq{Rtf;=ux%`}LD~;!xXq~J!tW*TO
z?mO%lcxO)=GivebjSnwfyRHy#j&|=g-(L9oBpTGD>;F^|&$KVr0KTg|ndq>z#zz%r
zTf3deHI^MacI*S8{nWp>JI)(B1gf?7uxIz7ive?xC^>Y<vF61BfiGNy8MF)oOzgOU
zqIUJhd#%*ogu1kV%FiJHP*nwC`h*Tx33XZ3q`+NKMmza<AVpXdXaGcb?B+EaMggWP
zsz$W$nsFnZ2<9DxA-Uvl*<x=ZuM|Ld@D}*`okT#Q!KcB?OgBCHY?fM8cOHQA!ZKvQ
z@JlrKb=YOEdSa`L=_^K^YHf1_=0onUk5rA&_hpdbuz9Y(|JMZoUk3oKdg4L1@C@mA
zp+VN72WR_^RW*8zu4xL2y4mvhKI5jUm_~WU2p1iYS-ZCU4pJ{jhYacEO6w2-pf(_S
zj<I<4hC3F_tGvQFATxN41hpr14FHl!UG_hp1OSSX8F2uBqYv+Yiyd(Ia-iCsNvdzS
z3-1ev$YBj+Wo1PMf@Nlh`KIf7$~m`T7_*4zmtp_)>C@+ml9CK!QiMR3oeDGHDwWG$
zuo;6HIQ9WZ>EtD+GC*wHean3O=u0<;I9Pd+h|ob7mhm|^H(d9ZndP`B+T0mqoO3-b
z7x=807OEpryJo}H`;Rt{43w#8&ige0Vy2f8?YcS7c1&-f_Y;_FUvt$tc;Z{P;&*HA
zy65%%`-{OSv9jq_yJquGoigoNtN}&n6!0X|G<AUdJ3B57*UUI?>=0<GGUl@BWBix8
z_q+O6bM}@VPwYE-e1iX6Zf+d2Mh(LCvnOK0z&=h}c=+j8hds36rFYKx<o#cZ%-BNX
zu@ht4+S?b$H5EPb&Hg{UsR+Wfx`9eX-OoZ#Gr1BC<T764xmuPbOBd8xPO+QUQK`XX
zQrh|hLe_$*JMgd|u!&?M8<3d1X2n9U4;>%a>_6^ZT7A*^(?+4@f+=7lia^InkL*+%
zi8lXen`R6WvYmmb&$fo9r>^|MPrkcncVj49H>I>-7rO8v#7COJyJgFk>WEXr0Q~bk
zWu7z?yZc&v*(@x-`g}aU<sWlyyL@$MK&7xq-0sO>zhp<FR!q@;6GoB%f?@c_a83}B
zNHvI*ycuoSYRQhJ?HCP~8NAXgj3It-m+3xv`;y~5r}QppOqUk`oM>t9*DW`Ffap$J
zO9&GF!AxYn0F8v5qfKM>dniR2B>eX!Dp%AQFF)|0e9TBMyA)afryjT+=iKs5G@lC5
zrf1}3yw^$Is^-SEPtF@N{P?rm-$rX90WcP-y7HwYaC=O!FI>IjTE+ly>*~#YT3eGR
zAG_l+i!S7y5G7hwiluiVbRUXsSazxk&l7Psp*;rP$U7Ir#q0*!36wW%M4ycSpzHBw
z6z}@{$nufUGzD*LYp|I6!uz`0IM11)ghVi3y!uzuG)3*xBR@A}LdAok>e+=47MR&~
zm4Eejzx&<EvsxJopSp4m0N}Xw{n!7aVHp;hWW_dJ&$b7zRI-|iAS89awi=j8#H97j
zmjQgm-+q}{n?8Lc1QA|%^(`@B+#pPxFc>XuiIQ%4+1?!OKMXyFkou^RM(CvLxFQ$t
z|CXeHs7lrHOXO1mN-qF!f>CYWGlFx5kWO3(U2*o7dhgc&B-E<Le=t)(e-QwfK_vw_
zXiFM6-qPxkO8|&ru*Vj-c+I8_1T2chG_<uPLVGPDFRP_~_n{wwy~bdJS=jH!Ht;Hf
zx9{86gdu}_TlsW+7$oT-=f?Hk?v%ux8~BaS-s@d__tRHTIB(jQ{yeUK&vUlzZt^s^
zmCV9nnA!JawaHX%w|DOzk>?gwjYWM!<H0^X3YWFCgxJPfdlO>TG^V9FBLnY*v4cME
zqyr#`P5_9@7rnG+Pj*$mel2Di`hJfd9?u@vz?&7LL_*KjR0T=ha3)EGxmh@NvK25W
z{lv)xqj;A<TV9~<r!(<UEe*xATBcn%<1h?^6e~VpYinyp?<1KE-{_L?DiMWB;2bz`
z;IgAfkDiu$j4<d?_ZMN%z%neT8Vdo!51;rQ0IC8(fRRox$U#Qy0wNtGjH@r21_0Q0
z@KCJzWT*@+06>kf05cI47Dn5~nF+QAF9>4k6?2?(vEa1NJ5(|Ke1Fq1^eQwB!TEVv
zIB~KKiewxk@b^sF7hk#I&mh!GtdAvUqa<UKeU9)_+yJwH6DM2yLfSwG0}=3vg|0k-
z0XUlHiXf-FAjEwD(0r<O1Z>YnHv9607f-{4f##Srs$YpC(a=3VZ^O_5rM(CDE4k;z
ztvhm<`FBzEGGk^EK6cI|WXCl8^!eArpORow2#=2**?&gZX~_MtwGbmBTzlo5U%wL>
zG&#lIbq38<UX4oqwKI5kq}L9U^w)JGW>qE=;!vQln8rEsXjxWLgm_$ww;*(iq?@u+
z_IJ^u-u{jMzWAYgBq?y~hKCL9H^6_fSxwh|#lW`!#=T1xEx6_D|Aqejf<*FNyLQE4
z1*hvm7d{I3NE>+11YUcMHLbYm+AsWIUBj<mG2QW(Uwu9RVB(1K>jB)a941Qo)M`T6
zP;720o8Fz?^SPQPUfZ`XhZE9*ElC23>38HqyJ4hWr`e2PZ>7w9@|%yP9XW*XM2VJY
zLGG@%s<#KXxC83z_Th9Tc6{NvZP(#>Z|vHG7yhv;_=G~FBsieQnravhUrgFr+RIuJ
zgm2t-C7%9sJzjWYN8~*W>r>)ks}cAC%>2|Q=<fXN;IR{-%&kmORG1TP;3ZH@Q8F<g
zgPBU@&51j2nuj61d)}>S3O4=qO%M?n+()fi{xzL(kG~vC9oV?z`|GlsVeD1S_)4J<
z#g=}EXfjrwlE#>>9Nu@}@Hcw*>Ve|?96WT_b?_LE9Q&?Edrb@+Xa;6@%NLr2L*lw}
z$gGV7N^rQRQgO8zknfEhd##x*6AXe70$UmyfBMG%?yRp}`Jd(~O8gm>EAH1{e&D~{
z>WNn;59)(yL;L%S2)bl-;e!eSaI^LIooBNmVQ_TS<W}60l>=)l#&k1vPck!YvkYpA
z5O9ekb~emlj`_dffL<O6b<_wm#>)#Yy-5=%n4S%dCr(|^OIrMSx<^&j5ZJr~G*xjn
z=Q0`-{7JkF-WpH6Ew3BFY(#n4gpS?1<apDPrD62S7<1#W!h#%(9Xk+PUVjTMEv_*^
zQ&e%ytcd`C2Y&q`IMMFg%90jC<}EA&fa0Eo*!xanxDGH2U69ndF)a?Oy_?=Ol*>%H
zlutCmt=VP>y|!;(&SQVvuC+D?UAG0Nu)s?9bKbO(g8&SA<G_I)Dm2$r0^r?8elr(y
zr+F^5bpunm@J18`0GKqqKLGTcI;ijLKfk%tb55yT@rPTl9{q#j!U8<}%jdDL$=w{t
zcs@ez|K){mu95RYX8y!|_uWT(eV2?H+$X<ZX%U`z>F<D%bfl?eCzp?(GZ_#3`bB{7
zBLF`|CTNZc#1NRioQ}Tbs6oAL3TKyr_bh{mWFPo&YN?qn+a`VpAyVoqY}vBq-vIs{
zae5Gd(=zZfi9EX<$20|%v&P_NOS|;`|NgznZnWm&r?c7QDN7o^n87l2(nzL`tiEy6
zOOMSOSspkpn1qrd)CjYI_C$Erni9ND?t2H66nXlwD=(jgojc#f3omV#*{Xeq^e=UL
zlGI<H5mQynn>Y+R{<aG*ys^Vuw$6i1_j@ywMN>yf^|CTBjEsW6_3G}9<D>ePdhX-$
z>0?t~>j|bN2+#lcZZx;GTT3u<jsrl_FnR$%ub$n&;M+mCoq;EVxtgOWfsk#@d%EZ4
zpy@<Nvu7fJ%ce~o9#uo<#j&MpteGAo#K3rjNViccZE}OXKC}iysi=FIrQmb&K6XK2
zu3DT(;?N<R3nPrE<>}J3n`Z_{Uvkh-=SD~eK#-;kQJ<U3jgc;A&XEI!j~vzq3+GK6
zSajXGLc{QOK};ek%TB4#ezIWpI8XmU1eBH*p{io|6$rthgU6y?PAK-P>U--vJ}jtQ
zHbk%p6X-r`5QNu~FF*Lq*{;Wj4P6G_PDZTca2+$gfA6x(-nI?AHX8OdjzHCl!ABKw
zC_6gViG!B*_Tt=lJe1|B3PEU79|LfuTewcpl@N&rv{Q%$QVv3LJUcrrH&UxuKAlNi
zlRVzzZvQ!w7`#0Satq(sd8FIKfkj8<2;)Wv{7~fQQM+d2<(XcW3QWeYCk*U^T?da~
zPm@oAgIMt|WhqmCFaQLDQU$cO^|*?1voW`74CYpi!K7<ec8DsYB$F4(BW_u@{K-3a
z?#yZy`7<B<&C6bcEHj~MMX;I@+S<b>ovI-9<8!8<UDvT%)@Jr0R#`Vz2YWOs#tt=u
z1@!4*N<f%Pcq(AYxI1N3IadGo{&OVL05|6=Jp$8fA`clz$xa9);n~W*=DWXWZajGO
z|NP<GpLh@m2Fhq`Y_90ts|RL}9t<Bd(D|;I4QB^_Sb3>7<D79|gYi}{oLMmPY!p=_
zyUlG3ZPv@TcC4q4E(ZbEPZ}}M-L7U#2KYY#{Fj`~u-;K_kDN|_xeFfvELgDMA^<}G
ztlPYKb0(4}m^5k9av}=VIy`dZNbds&4!mcrLmx=)J2au^*uP9ekK4po{N(q&mRv9i
z01y(V0}L2Mhy_G~0t9sS2aU3>_m7LxqR7xgb=gG*#z@a`U*)czJGtjC{sONh&rVA8
zGXTW~gr3sNCQv6*oYdK>rW7`P0}RZbH3mI<6e1@(j^F*kReMo{SMzVjzuy^>n-xPr
zUJmv*9)qnx87RlHk%oFqGK>~kA0!P}a(R?Zuc>S*OyDd{MgQV%_~*Vu7~b1t&Lly!
zeLKgJiKdgcR882s>Y0}Uc?m0UoNRRQfCznjOj~<H&7RK?>489UhPCOCiou%+bT(Q;
zLeZRGURE;cqRP>z7(WCTFZq^a;LS8<96;9K;}g(WQopC^UErMi0Ix>nPrtTg900tv
z=OF&IXP@-Fgu-voi)^@~2aU)&k~re|hJY~RxcghJtoueX-t%5Ox6(6W4=*n(1pv`y
z;63ZmH0`i%kpVPKi;OmyOeVY8--)Ja&F@d`yda4&=qJevLC|$J=d(l^Yw$)*%eFNf
ze!_0b1aFYFG{i+p8pianTw`%HKfk~`x12hppIa9OPPT=IYS2PtWaLk=ddjH4`GEsV
z@#4$dJz8&?BAm{|{&c$+<a(|n0qT*LoptR@bNs&l?(5Aphy*4)D1W{Kid`o-d%m2X
z9l2i+i81|4(<hSaAwB4rsvtKzj@;}x61o8e=3L#rPhFZzj2zSp|9E?UWCKtX#X}HD
z!KqEx(A;$`49?EdaAC!0XsUulGJI-YTwEB*diGb>Fr7Xt2;|5O$okLc&l%t6$jKJ`
zeEsuu!ptDF@h*Pw=>dk33<T~A8yj_9k13UPe`FXsV1A4Ji;Dv3tO`5Zl!6EY%gfN-
z-qw51J54{ZlPE$#x5AuwX<`1=`;U0L7BY~8FogY>hxRXBFn^|N^q(<uAhx{vPb5;j
zp|<vf-<uKu(6dKjX!@9vDgXb&4Mor}82D=Xl<yzd3_#sw;O%5|8F)Jx44wi2@t78H
zp>AzY7N~4ItqPi+$sE`)thHIl3aj~;BC=zArF=}))qV{2M7|tY+8t%x@(YLz@>6Z*
zUF61jS+L~6TQIHeDg5QZz(Ti8iJe>f$i}}s`jg+k0x(4Wp??J`Buow7n5y8~nG>!6
z^eX_6JW$%vMtgS4!<Uy`hDV-!9$Wu6JixE)aKr}gh)Q%ikOEdoc?l(C2Q=dn4Ce6F
zT`IO|M+yKyL}UE99T)j)0epPg(7t%(U+%M9`tXK9KX#La>J~<s+jHVtJUgx;8!GPj
z&u0!UUbEqrAK!ZEW>nsh{fAfHyyU_PbJA%r-xz3{Hj~c!X}M)N6B{7}9{%D@0Pq~(
zgdt;Y%Th@3T6hH!RgE8l?Qicx69A(XN>*IK$IqSYq{++8%F8V;djRGD5yEVZp0x|>
zv9Oh9(K!?FrCTrQ_K&>>@rP|Yf)_BQlF@QN%#3VB2olK8)&M*D9vcLZ<tCOH5+RI5
ztM*+C-VZn~yX>-(WHR|AfWKvBWqmBu>xgI$<c&KCMMXt8eE4u@8+bjNf(AI-{(^-d
z&llC6Z2O!2w-Ta^zy>p`i1~*%d6QD9s=EPTmq8E~ozkfb1ST)lu;t+dSWwvaM?#LC
z=$6AI9uCV>?y?rl8jpKwtN-%(#f|rlEARO=W*Y5F-m`vJ(_(;Y5P`5h+#pgMc4d2;
z2Id<9AZ`V~DJ|*dsfdt*vnV8>8{GZ3YwkpDRt!t-do*wF!6Vu4HU$IIxW<4G2CrZ}
z9nYWP>c%)4ya0L><Rh-BXiFqR=N~rq?Q6X7)=Ori+_w;9L26rmV^4(%ibA0w!fgqp
zZ*O`r@8Ss~e3b{v`;~Y!?v;~7(9D*_)(xL(X%8%#ZMKrkLKQ@~eBC+)A$H`b9zBsX
zTEiM<aZz3t0QBln2qX$518;afwQDxamkTl7sqOW#Z&R7^g{JN;k&CbH1-TwckuZb=
zYmdaVIRk&Fh>*AdzMGMMGVnR2wdtQa@K{)$VO}j=cz>~B!-iwk)z!@a@|n3mfWL*M
zQxs*W8F!Jku3x|YY;77#bWLx&Q;48wDth(m-n(J<!HnW!_;U1u_*yB64oPB5RTV~i
zxFHrbH3H4iWe*?f?cyqixn5TW5b$)dVY4!ml4o8fQK|hKe&ikl001BWNkl<ZFb1cL
z4+j9aeA<}7s;WfXV0zf3n=59G&vehQLwM~q)*gOs6AbnmJU#bnv&}&eB#@IG2NdBj
zil6xUC$Qq1PXItD>r;{XUMs`EbL&=+i*Mb2<&|GuvpLm7-5q(E^v~WjAD7H=J#fNM
zT2fR%WHOJ3_AAByLoUh4UbB-R^eHO9p2pNcEr<6h#w-8YjhyVbVn%)Sujb6LRnd%o
zVM_>7g6mc5na^RSZ2&N)e=p1)H88Y%*+@QocwbaZ8v!EP@ay0H)j6&xgqb7DF=1ez
zwVPji6T1!`k!r_DS)#%4Re#dJ-gxATH{!-GKZ+=nloo}`XY}hAYWIb9I&LW+Lg<X`
z0$g{t>mfr>`1sU?_l7P5@B0YTU7d!;R3ZEuZmHY}!_KI}b)&Jt;O79Z&g;U-BLSco
zrVEt^n&ysQCr-8AuPFF|9zsJUrcFq~i5@Nl1-D}@25(N>=e@&jr)v9xed_uPQ88{X
zD#i`Q<ZJE=mq3zknt-<f%na0vsKes)R{etq<%phAQs3|JUE!(~kEG@~bq);1zK~L`
z2Y~X@9v%a)o)ngGJ-S-*a~L(E9|jHTg`%a;W~quB;3qF0>v^K3Z4&^}L}K)*);4D)
z&qRThq2oVmO#rUEd=?&i{PzX+@zNsCdfYC@P_%Z{AH!ntB{POEyZU_WJ$M8Qp7|C;
zR#FTuD?!X>Al0QEb0V+dbNtZ01$}#VLtb`>SDE!N4c&aN=UayBk$p?>hiyAh<1+}5
zU=e6;QMA5O38i|<Nc1o6hADl^W?lQ-_kLv?sPssqZ4k+1ILn$SBb}@+oF&YeGbbyV
zOg;;sQBjoH>({T340IEMTEj4wg`N2O-~awXGMNn3aXlT7yUF1kV^VT#t8T!vgwfsp
zb4XcFys`5g&uN31!3cb8<h2kzKL29LtzM72n|ZzuZ1?`g$x1A?M+eFvoIRP~O?Vvl
z9mv7Jq~hJbubXEQWSH<3rJ`;d08en2?s+)?@sC1EmF_3FSQ3V=*i!VuP-C#hj`p@B
zkY@$}ldGyIuFK@Id6hUiWBk3jS>|JW<V!bCZ%-!2R@~s){RWlxKudeVVP1x5&M~tt
zL}U*Y09iq@@^iBA`5P_*8;l2k`%<U}ky{2-zi}4;p8RwDOFH<g*Hn%7mLcUORHE8d
zn<{o5IQ+8zdSXJ)o?hZ%LRA#MW#R3A@4w!6D6m)rfGe+<iQJ}mhk`98b)&6YUQk<8
zPfA^H_fwLAH{v-lJ?;5zPTi=qTRw*O4lYL9;<^%Lm^aw4g7t=%)u(#_F0UAiPwsBK
zXMF#jU$-v{OG^MNLfjzz_EgbEkHTDx8Qcdlm=J7m&dDwV?*{-(L_cTdCCoe>z|*0L
zm}dikVHiPwrS}g`d-2cBOUsHdd*)cgV(NeVeBJYDr9=AmC`3_SHZqB)B+Nn1`8HBc
zs7{orsVt~NdiO-no`vCtIp#3wcmT2&nRF}zJCr|7c3eZ%n86q|pcHvo;SAf}-3#-N
zoow|`DKEREDs5Rd>@{kyZUtu~IJ;Kd)LK(Dq4^gtZuP8T<#+D9Rs!bD8i!S%z6Ox>
zZ~;8<Iq#4lvsKxXN%(^9t{X4L)KLR3{=wbXwLMiI48>!v<0S^K!CX1cT?(m+Kzl+D
z7{M99B?~JstbZx4nKco+_aDZ_H~wLsv+j55;C`4sv>)Ewb3i<XKZMlI#MB}E@XEh-
zL(@zXPOs8#g^47i(dU`UN!>t5dpgnFI<%xP564cmnwz))@^Z7GDgv4+iU43xY4^Z&
z@-qO;`C4~tO?Un5iKxB6bv#pqz=VP3xG|<*na98@2+6#hc=oB*c4Wsjv?qf54w|B1
zXund78_>%+R@%*tOC8gc4n=iTy9~T0UV5m(03JHq)sWG(m_0N2z!-Sv&!1nWD9Rs*
zsI{%F?V@L%dFJrhu2W~j>Rq^96N(m8=n16f6mBAxk+>NWJJP)_h=1*Vcf`;XZZcNi
z=NY)|$%m#0^vKV3dsc&kMqp5&E!D2x_`(Y>ZvVUgcurPE5>B!kVrXEtjCb>Wm@%Rp
zJKt?W(i&8i%H`_;y40U;$L@E7{!w9It~D61hMh{aIG#LtNJg4sjv-qxg)|8(3byyH
zE2>AQ!<^Tcatm%6#eHSdr&$cDw&U~FSe|pDrfQtKBW;kE;lU{L-=58$BB`FLqGZ`_
zOQpr#0(A$#Ou;raVql+M0MNI@G$05g7CNzPl~@=4U5~oU=Y+bt`(QpFpR`HQk?go3
z4LwF6N}3B<?u3~bs;>06?zObI=v)B5vS*gb2p28@*tv6ORx{;Y{^)PEJ>QHIk<1U~
z@L(BTIQy74Z(dwg)#m_YDT*?F!-fs1=@>q2*|OzWiqoC?-rfE{-cjQm`zsQ@4oYTj
z%p6%BFz_-P42ZxA)3aemKuL-DZIl-m;rpMtV#J$GN382Z>sM->4E^|oWcJNWqtPuS
zp-USm#FzNT;jCEtDN@g(py#DQ?h-t%C7i{cTtB(0s?TS#TR~1g`FBiJ9ZTbD`}XB%
z33Ckn`KA{kh%joHCpiG%?jQW}JHyILuU~xWtk8NZm30p^9yw7`(%r1T&W1oujZ)0!
z?@ZmH4K@NU{zQb9mi90B(|RNtgrb1>RtnLtB!6N6aZRX3(rF<C0Ewg?Ff{rDnF2s=
zj!C)=tAA9VUf#24;i$gBHKZXmpo?ctb}XM^xzs+gvD7a;L|_nsuBsXras^=M{1ZDf
zAq4JS>c;ic4FK_I2JiTCt2&IY0r<LAo}QlHXO8tY6zP5be(hbs#B8MMhq?^B9{>>1
z514rgfExjP3BLETbm>xU|Ni}#TWO=Ia_=KXk1F@H)cF@pLAy0yDk#WF+rM8neGC9#
z`<{2xmc`75ECD1^ZH2Yy8s$XK=4<DhhSCRq{i5gFvC2vNMcDV18`r``&3*6_g1+<V
zs{@h@VJOVa@(fnp3e#WX)X~`tK4TCig}H?Q+@N&u_0QJv!kjEj9OT_}io&JmPINB^
zdxsSc&Kde!hRuO}ddA^1@LoT^64zcl9ar4B$_Zpi#D<(l2=~gt$1a?PfhA`C{d;u>
z-tgQO23uv1>|07iKz4+&-iD@`y0RC~o%%5Vc<k{%cs9wIgb`Mmo`t#BUOi(xnp@iN
z*t4&>^}GIj00>Sdd~n_gle0!C%Js^WsM3_iZ(C)9vTClJ^&jVs9*i*q%5cYbe->KK
zeYM`0wprTglgFEnMFr#SLKi-q_`o!HMNw`5Fq)YsYnpb|*{;u-0U<j}V=d9%5I7?(
zoL8<~DHgBZ_%r5cQCGzr;e$S#2w&j*bLalaAxRw!9~SCG2>`gFYCLMH#$om6KaNp@
zdWVMKJaFXLG$63ZnK83!^paHN78m8k>KhvWSl`g(aY-g=aOjbr9k>q2bTJ=9es&z=
z%X`Z?U5Sv*jsu5|jUc$XVC>r|_E*RGD--$vfN`S-dLG!k8Dp_^chg*dI>#{2p*Kuc
z-8@L@8vE1u-_D%b;eiemCD`t2S8qCR#Nb{7d?g2V44f)@7V_lGQhe^C_79`}Zw*6>
za<e@QaDOyzLj;Y$0FaaeSacxxm_120tg!3ycT<p^1zl<JL?fs0=MMllN79c1fuUr%
zK^WNf88+KR7{koQamxP!6Fo7aZ{A)Y+O?0nHa$O(sHv&R)->%!0EI*}p`*s#_Z#EO
zdt>FTm-O{~uVAOc4S1HM>2n!mFj6ykhYU9R-rTGhs;7>^`O`-|C+83W0t_b;S-X%V
z-R*FSuNOlHyM2FBW@CbG@h?P9*DpgzK}-x?Xs~XqxLY1p%%6ctgZg;ctV(8rv5F$F
zW$Ql2P)Q(+8C8yw(r$sYI(Yb>w*2dhDYC2EeW1zN#AF=`PLz4ZK~+%NXOKvScSWJP
zz|!Bs(iIN%UJ8-oNVW?z1iF<12-mQb1Im~lxu^FMbF#GQVaMhCd-v+`p#66!K}bi?
zic5r)EsI?FlIddyIj+Ber7xT$XK&kY40<oJ!=>F^+fQ2Keu{C{kiOF{oH@*&KfkQH
zy87>n7A<;h?%cTny4}W&8{dQ(Y^wjFMT_S6&mTB&;A1d7_P)7!^X5<z#ruu&{w1Ex
zBKvP5!q_4GJb|WCA(H@$3}I-}gfzA2RZQ(wR+N#)V1AA-pp+?r5uVtdE)$_!ZWeAi
ze;T4Teq>A@RqpwniE;P6B2_<HSm5<^NJVVP1acoMB<WQ7@keRh`Z310`RR2g3K?hg
z)cFb_aP{1&Wlmj9=8SVbYA7ebG42N8l`0@2R8@?^ZME}L)<snnlGmG>s$k&2QpDow
zr<BSS4>E->AcpiYH!f4@DXXczHR%~f5mw~q;Qt<(xx8<WLW~(;KE{ix#zdFZLG&*U
z&V>Nm>$wYE_~@Wh4ZI5$ESOteUEN+?UEMB(a6~L)vDiWT_@YINCWc*`OeTL0;4J{#
ziRgbiJO2*~hWGD900Mr01cFjo_a~)l`89h>Cq78PHL3DxQAmJs(tkXzsor2)7J3vH
zh6~eJm^x`F0HA(XQ$V|@INz-9^s$5R)2}ZDGu`7))7X3}yuMO!n3j+k!e<sQxDvp*
zkfMbGfUdj3`Pa{$^y%=tPfwx&0P?f5(xwptxMbRBEW5Z0uk2_lAYf8dT9({&mp=S(
z#>{wUwJHc-TX6-5`M2zI`E{f;IP;)yLJL~?nY{TH_sH`n0RX5<$f_Cqf2YqF{VU%=
z4||FTh*>T}@+?YGTt=VV1WvV?`iTi$SNHC2dg_LACSmdUQ?cx!b!NqUvoB%jq4#e$
zfhDUpTrhRYu*}_d90RXej{M!+c<y8<y5gDrkO<XTW&oHtv@fcsjB<m7BwhK&q^-wd
z8Hn|e4H&l&R02SS<?@w?Fz`~Bf%gN4>gwv8wzjsHm|1IUYn!rZ)26c$w5FrDWX?p-
z*kFL1&T&xRVy7=q1Yz-csR{9H7)&AKo4g>f+3q=7u$%N7tQ=BRO^sj{l$#sJ&6mu?
zt3SOLy^0EaiQu>d28s`v+UIA*{~vqr9UjMZ-ur*g%<f{*K{OHs34$cpdlgAFQjHcV
zz>;h!vSiC~lkK>~{>3Hv#n<6=xpDHuNgS8B$>qu_He*X9CDF9HL{WtVDfR+(0wh56
zzGY_4{bSpinKNy%i(P>8@gsAwduHZLJLNs^`+c!|USiGap-pSC?}>jxIXhXlw^pY^
zQ4;;$_kR25+Yn8B^*47#l!mUKTMIuE$<o(5WSJ3~5Q5hq{Rb?mn;dt!Ap${lbs4w(
z4eRD({e~qC=KEwmi-Iu6JH^NLsjFtym`>~|r3f2Mh&jz1yO5no5U1Zif$Fvb0A$F1
zFtQr};vuT)Iwd~eUB4Fh-K$e~(jCh#g?WC+%nBVL39n$@c~DAq(pb^>Uc<he%@MG0
zL9M#31b`yN4^*U)9^&6C{<y)+uh7zYn;4tJWXfNNbxAFDoMI$NdJw=%l+tG#8X9ie
zvSo{~e*Jn+eSQ7=DW#7Bc+Btj>pbm8nfP;f>!Lc9wtMVxUQ%0yfBoVIFmI}}WL;(m
z0L}3wa$&+O2a_y&uUo}$qP2@5MH-_Sg|Wez{eE(3Bsr9wBxXPO+Jly5QjJ;C$`#9I
zrR+FGxqh%iWY!~^of6oMFv-hL%=JEa>q_{1iRNi)Suq~ENo_J<$J|DJAFJm_Ajs;-
z9Kv0oG@Gf$w`U5?nN^MZuV2F70Km*iW%$Y09`x@!d-btcpRs7sbgaK|F>b$Q836h@
zYS2!z*Vo99>oHp`WX45`LI2Ob$Jz*=V<#^DZOq#q0H#fKGHoN6SW;+s|JTf_;ePKG
zWscaqi_7>Wr4kL#J@?!$aJ+Zyuyg0mW&ozW#7Op^DLk6N%3vVKZRev6{EeW5iKjH~
z5(F|xKvZ6u_`-v?;bRRqV9$H{1W|c;IXX93wJ#-!{zJc&jLFo_;+RJpy9A)1Ft;xD
z`NWC#!eI1sFcc~*<msle#}tUIa3=n?)@6u5Ftt3g8kp-r+|y~<^lAjd5{@+|!oaAK
zF#Zka*2XJteJvyP7nlySu@Rz|r*LPaK?%KfrALzW5)BF^?99z0iunINd<UL?^Dqi?
z{a8I~3eL86l>>_1c0pw!o-utA@}q+(_O8sEJFPGf4C3gqi>d)rFev5a<@g|lC2wI~
zVh|P-a{e8_BU(>aLOr^>#_o?2@`8^u;Wr}gJ{%qHXbrE5;8l$@70Me@L`HI(SIz?f
zES)|Xjb~Z_F(=`{8+XHvXd;_w@Dh+=b`Z;3tcjL%B^t7b`|i81AP@+=O(`Ar`~5fV
z*s)_+Tc*CgzFSe02crF0_9Dx9u?BMWyjssYQ5lA^qI~37ykF79l0pEOTU~+D!hH1p
z;SVA?GQ^ZIZWRrGIkrGtenatsB}-@E3!5UjHI~*^;YxQO2(iw5sENu10KES?bw0Jf
zdw64Xzmwxh7L)b)AOs(ceLi^V!hi9~-2cHuSMTvyAE+?Tk6gbO0OBqxf<RDGkcWHM
z=%X<ro@2)QTef5-av3A@oJkYz`Qi^h@#0gv5^6(LB}Jy*SYP|A+qsLZLc~I=hq4o4
zMF0ii*;RPK5<LThbrlKYdnLf1oU(@Dk`n$RrmDPyoBZ0Z{vH70l^`UMl&^9kC*wFF
zQ*;Rj382z2(oo>{p=%%#l~SS6Ar?ge@I~wic{x7J)fl|ASL5hW>ig=iep>j(eooR*
z6U?s3)F~CHtE<}Z;vW1LrIZ}HsLouc$ck&=waMnqn>PxAup|0s{JKS*Ruljrgj~0M
z`}PCcZ6!&1%H#2T8bHv<DQ4%+oxv?zw%oCA-@eTNzTVi_xU;aZPzLY<fb~0e?06kn
zB&ktWn1{Mai3O|Jb2y`tzlcQ$;d({#yy<z*s^8~Jc<`FktF*Mp&?7`^2-6;0p~fDz
zCHeg5#B5~E>>8ZE+QsctB$=NpA{o{%oPqY<gzr*rP9kuU?P|O>lNGc5lPC)K=I8E>
z|IJ$v4l@yfMtz^a++;=50p7Z(4%_w}wN<zH{-XVu!n}(2tTFd$-L!meq>8{pAG>7*
ze)gAlP&Fyi2USG9SOrC)?E0Q45Ztw5K86Mp!_&pns<8iT3$B|z6_QNRc%~USUXSVZ
zojth%FCRIL8Iwx!#k;P@5soAZE1_6jRs_G-i$F|kS2JXD(g&}un}XG|YIO2omJrfN
zDHZID7hPP&16iZNJ6`$F0~_L>2_X<g!O*}<2!Y?AGt=T77KC9c7v(U{mLF?~c&e;h
zYI8M}qX%fM7G<z28-`XX6n_7~^F2FX-peFRWHt-tlDOoA9fR>m+|SwY5kd&&&6tdH
zEmtudNa(q$R;)dgu3b`x+n3D3+-P_UYv2WQCSvE1ZJ{7BHoIl|oY2H(k5@?y{Nm4n
ziS&c^riEo6)tV=?iFR*WJPVb@1^Dn?>u{yJ4^<P2Fn`L#pFMxz#4)?|XDOM$pG+@a
zRO<&2HSi|BPdsyK@q?8!r)=Ixsd#DY>v8Mmdlx$I|H+^C9MbMv0KtR_1^DEDZ*!8w
zDti3LL8%gzxzHG1hx?U+++1dmQd(HHZcZ&;IdTS_{X^ifZcZ)UJ$1>8kQ{$8Ly|<X
z_RFO}_)jyYPeMVyvG+IyRqfcg4WOH%n#%5ACCymr!#6ZE6b1r;y_C{US(b0vx^-*N
zU{_vIG;<S5KVDIM)#DY`o0SPu<nxx+Y-yfHM0g7cfZLZua={JAfpu?@6HJ-tKYWiz
z)!*@ff8N!J(`L-R)w%-q(Q3x=NH)A5!24q#JRFT#EuxLdYDtm4z61oDubYpGBtmqT
zE}4PiqC}fLYjVZs0N{a*YGnemN4DHZ!;!@QPycoNkI0S*$H6rEgX%k3(l0#nf=xtE
zW`?y(7fnYrU2|~U@7LXU<Be^bP143`Y_>^bTa9h2vE3w%ZQHhO+sV7%-^}~>&U|L}
z!F}#M_ndP(HbeGjX$(J?v5{bVLA0JNuqz^Ye%f>KoL<TrQe-)<Kw8CLU2epjt;jge
zAC*2IJ6`cR%N`;>xiFLNccx)q^_$O=3IKMG5pa`UcT>&LjrCbEag437I_ZB`>0kk1
zX+s`h3GJPwRsAt_q$10&M%jdnIz;N@>>jAD_;pw@%`bTiZEKQ52S#)OQ&!kqUOulJ
zgmhp6Q2e#U1pTzjW-ZzAu)gfsOJ0S7q$OFyQ8`UTZe7&b5SP$0Vu>8#BAQ79uwLqH
ze>cBe{tMq9Y&<%GpjKlh9xded(I?#~q&PmYYRN#8Q#kj8%g8;R9nBq`sY1mRp=9kq
zB1C@j{dMiq=kjc1e{@GcHHEF3kzBuP2zSqw4;-Px=AF<c7q|6r8<{Ht@N{B)+XzW6
zv<WoSbtb02FX*%$W6*55-p-rx$7i>*q<o`$sWi0p9?oQG){<$0-B8U3p>r(k@43zs
zx8;;n!C;H{Ml~{hSHtot_%)iPl3a2)CtEgh9jOPCa*P-!r;fe3A?|U0@9KkOJ%E<~
zzAPnBc)Sfmp3`G81BhLAUXT0sc6CY86I*D)_tuFHKTCs2^WRY=yNvnV?qwCx=llKU
zjZadgnK^K`B5B%>%|LYL;h(W8?aM-NF0pDoo}rxdS*hDn`F4G{InZ5r5DHg0(4{$?
zp)0UEyl+@rd3>q|^vjt^UazvFp3puIH&uvYGUyu}ymt@l*|>CaD3nWLsq?vm+&z&H
zB0*KrAgQDzO>&ktRc*A)xOU@ze&j3*(v6?mD){;Meo?`TL3W&;JgIs7=vHliOvraV
z;HTd1X!DyW(+hD+DpC*A7Xj$i@wW-Uz1ajzq}DOU#8q`8NGrP`?3h~y=%r^mI7$&y
zV`5J$E@cmRmsVCz<|lN(>A{kTUc2(W-{0Shw@M3q7Y%<Jo$RQoNHN4!c54RxmN>gT
zPI88+7L9IGbdQpa7QvL}3=?G0x_G8;1srYDby3pyy#Klb;`EY*oz`@7fKCuKaHO_P
z==ol{posFK8Z1O|J8U(p+a_51*lR3|I~3#)_~jum-X&|_@fn|Mf>Fr6iE+DE)WO?%
z3JA}$C`n88a{J`3Hq`Wd^zr;=l<1dhc337<m80zm^yjnM^gzON=YJiNO1JdU;`X2y
z(T8EuKJkqBylEuqL$oFO(D4*p@v@W;rfnjEUaGRFsIXG!;=1}JC6c^%n3wnWio0#I
z2YuX?_mG|IN+@G_Wtlhg%T<lT-&2!$y$K^79?d{4l24^w{!X8_{@Ts=xq<pH7Fx4t
zn(B7)>EV{ByuDB{nA;-RzB2munaqiRpSK3T@Lh<iN^IyKc<;4j$uK!rBrI1_F&lEh
z{-Q0S@+m>H7|m?UuNIWLg{#>nvTXHhO+IEzZQ=#zuVJe{97dlVJniND2(w-Cf2j73
z9^blseM_2?9~e$@*1Cv(;z})U)DQ+vkEf@zxO^mhxw^T(@LNr$TnPK&fZlL3G|6Ur
zP(Nt!S}2v40U<wtTYVj^#2in!D{2MRfV#88jxv-+X}KE<_i537Vk;8L+-rdZ(br(l
zUBlrTKc5|S>7QxXM~R=3wK}|Eh<pd+%Tfh$#nG94&;79=SDlyxP(;Q2!IXglQ0I}!
zG_#qG>~p=mrzjFMY!DR79oypwQ_UW8Lfpq65WZc<%2B|!yKPI0*=#To{;2G{hxb(`
zFMECyd_aW_N8<WPMSvc5eOB>LlBE*wI|F}xl?nRE&w)fHM|_>?=rm=7b26V+uSo?X
z4gF3`m}t>}Wf1`Pag@dCP$xJ~cB`MqYEmkq5LZKurxn$@UNV({ou|?*OmHWq>QOb;
zP=W?2$U6!d9h}S4&gH(F6bTjQQrF4&$67R|ANQ(AmqPS8a>0m3Hi>^4XY4?BTtt17
z0)}b+TNbO+#6F=Ks~Zr*HxE}0rU;r5a2AAl9>5P+5s;wj7RhzMxONj2N@C)bf5>#0
zvo6dLyj{7Xy<fW8+Q&n9`>JCoXDc$cimINiW5jH$GbAZ4-n!gImss+l5xSwJ^ONLM
zVkyW}gRCUtj>NWozmdXPU+$y~!&ph-B(6=%RSbfII_Y<mcp$!uJS19GO9d?VSm~F4
zc+YyGhtplG6)UONtnvk>#pMBFo2i%FHWNmm#el_rY*A2f-8oz9(wE{syCDmN%jZPj
z%4(l%bMwmLEFQ8AydbQ8*8IdHWVtpc`^*tE@(+UDZh2sLpFyuvJX)=ZGjbBa(O3+u
z_=!Pr+9QOJQ}H#wDUpL{I&<568jN7}Fr<U^KD3(d8OKrb?Jc8Y9Ff^0LpWqCs7#l2
z_HM2G>1?3h^(ZMZjD_=&a`AA#1BbyBpGKX#SGpnslt)a!difj(f8t_fQ-4h!o%H12
zEIj$c07Ukcm5{M7jb(mC;7`OT?%@5F+!x4ws)I<wgYHvk3yxD~gU_~MK>SspqUR%+
zH6<ouxnRb7@j)aTcXl=t-GT1s-d|JF_t7PtSiC6yyj^8wA<MftQ*CGNxUX^(xRY4p
zp}nNs>9$`^;_V0(KNgAykxby~V=<_mC$ywf5ef1<eA{<Uz*c}lP5l}?NLk3UD2tPN
zQ#&&Ng07F{=2`-q!x1%>oLk0G?%$!pXasQOie|U<k9Aq5!En{c0Al?{By1Kob$Bl=
z?08g5ZcRWzq=BN^y-EsuONne=<k0L!i;!Z)ys-_vlJ%?OBKp~056jelXG9XnA~z@&
zc#G@)B=bfceNwZ|drWf2inD6gm6g)NNl9u30HL!x43UHVb5|rjp4ocOU6*1_0m}Q`
zqdsz8d7+A&!eN;g8KnSuXte?Rq@FdxI}})}MUG{M{UA;BXnQyPaY{KnVbVZ!8xlOk
z3q9xd*P~R4OO5m?e4B4;*D}+=Z$VfFrZ;x~&jq07Qk41arNdZU-V+;PjSGa{T@)!q
zxahDUqfW&1Hd}3#u&>Ui>5!vj%eZE1AG__5slhnqc6%JPS*k%9f3;21gBu7Y1^{K^
zcq{Fy#nhAF>aD%Ss_ShUu-Za_)(JafbXe)1x1}V~Z#JOza#~DlYp<5R8McztKcB|n
z>_{vQmIJJ9z{8mx>cRI`_e>qQ?j3nbMmQ67gX}Vh_Vh(7`yP(>6*g<vp0KVrP6XUT
zjuD%s*1+Ks#sr$kGY`&eKxA~x_|?pa$Yv61yiPp6UfD-LH_NkeBtXRq1QHSK9k_1Y
zhti`S8-;!y{(4?-tbryhVzasTdwk3NDw;Y_Z-LXhL9&P;$G;c(DW0|-?lN=n6r+AA
zlU3c#v&u^S%VbSt=DS>Jao-%B)lkAawJrz<O}-WER<F)C_>D5iKdpn|OfR3WlHEo&
zjjdW0>%#yV%+(4Hi5z*qoZPTh6qfU6Ex8giK-N2D8NP9(SskDq8WoO};#o-uD`+}Q
z3MAv^rum(US%PUHAsP+|0wq>3=Y}((Zj{7{@U?kUB~6xoDYvznJvAXP(w;}sb5+3E
zZ)@?6p*b_ux-Y1bg+R|9Ofe~dQ**mY!)pUhhkUj);ZD!Z8S!v%&WMhVj<Z=m*2UCF
z21?G@J@A5hn9p4EHOkIU2C(-Jcj6y60%JC+@liM1$g4Mx1a5z4tX`Dk_>lkY>$1$z
zZ?)GTXK0-^Ku4@pz=YXV?AOGZ-$udU_lA_y>?@{**}DCj4faxiNqfy(e{XTB<wg_U
z+UOkFfqe4PQG3mb-&GQ14dgqr%S=a9KwM$wW=V-wb5g1P8h1s_EWx0nr|j76CY`zx
zVD&B+Atc&em4BzfhZyTJ-^H7rSf~Ej9~2_5{mak^1>?rSDRr+rOCsMC1t4^fSk26=
z1ue`izfUE{(YH0f&-_hej4pD(_<J`9S}DW2j;QqKNW5KDKs@#kqm+5!(?M_W#H4v|
zg&#N36BE)>TPR`v3c84u*wxbhfLp!m=gBh&*iCcM4liRtlkZP)$*Js#9V_(<Y?%)(
zeTG*nIB3raiz@v{K|-8kzs}h|=wLxJZ-W+9Z%VhT+2XDK#RJ;ol3yZWSz<armrO2Z
zvS&N!dG^LA#)aHzP!s}^LAcV=X2Xv~&T7l@hwYBnNQn}~@eewbkl1so2C39*!)AYI
zf+!8GA^*{AA~T%s{Av#T<EqR>EJ_-i75=sCL8t0ajkjNicC=dN=VoUKvq6(iyB%!D
zYY=KqV17GZ0J00aE-&lH`D^wo;PJJ2K9OhoH&*9o@}wOcJEmftp=}ARB4=Yl8ZIZI
zg9B@03wrza-lZl^1D@x{N<KYLe8~(c2%0k#K%093^7^m@rt7?}&u%wwMX9a;jZN4k
z5$*`w)Giuyo6r1P(;_hdBpixspO0Yz`A_RY_U6Q|CAW&XVVT_XYW4GW>ht}fsHqcQ
z-kWJf|Gbt(v{z&ao~uA~UokQJaIh~<WUYZm-!nt`M`Y53jtz9z<HtjQdaXJOYAm^_
zSVWH$aUj{k0Tx!t>gLLbsIPzKy^>D0x{{XfSCz=u<Pv!5?TWmXqHShK%b-<j<%GjQ
z*r>lD4Z6i;DOH}md8uw3G$&YG7tJ<g71{jAU|_(sVUdQT#t^sBKe=p-86#hOZRW^8
zjNG1v!mY2lx$~na2Jb?pwd$W3CcF^sqj&Ys?}a0lCd01=Tr2m8rYC$W<-djT-J+m;
zDMvNPBzD<huiS&j2GaYb+)EKM4i`sg4k)-Qg?5**&%WC0v=aeh#>*6IQY}5g|47h|
zC!>@_9v%xZJaeTb;8P~ZZ&BtY{uM<CFQ_9$l`&o1dT~S3%{=!wKOApJ2QcBWSS!$H
zV}xA#4N^dcv$8+xCs#)=FNylP1HT-c=No=N51=1dH`NALmKU{}k)2sS{6=nT3;c<H
z=A1WLq%aVRn5>kLj{m)q2yQ?2NWe`DB8V{GaX0?6k7<(^G}ZiEf{w&S^s_=?&8ifI
z7%jWm5P71`c{?beXlK)s#qGRKno!VVd4hTO4mD(l7*6ngpf_p1@&P4}^4qW>@6$tv
zuv)WG#q+t0$+qaI+OC>~bg^?M0xhPPlGpJ4R+P@8$0DPsQpF102<`1}Paper^N+8~
z(-VQhD0whWDjk@wp3U{I5yVPQ6ZfO0x#D1i&8v|)K#&_w!FChlStM6j9F@Ri6g!Z<
z!VjF-?4(VEc)Usze|cH|m)hvwRW~Vs7B+E34HVTw4A1kGmSZ3DsL%}cDoSsT|Cwcv
zqxhJ@a3IfdDLhW3HZP`TEFnNf$2`${Q{bdtv&6&N^COQ(UR$6_oW#j68H{E8n~ZTN
zQ5luF(_PVHmyl6hRdk1j;Gju5uJsWs&QSc<g7fRUdEc$MQT*FXPur8f9(&&lVL1xh
z>Gnu`UG}%>C7J1wu2VGVUhkB50l`UK3+vD=!Cn8LyP(v^1QCfp<m>xsJN=(;BF6pD
zrc!9<tYH+ldWX4MZ27;6TBU)0gQgTJ)a2U_$H9eHxFlMwKwi`g+2s#$3<?@j>3A8W
zlR#<2uR;bpdj<V82xe7i^Ct<Fo|IV(i>lugBGhi`aGRw>AO51#9AYl}0%|O`+Jle#
zdH&2g`168fzW86)#Ay`uo|cVe_2F#rJgL!~6WD?(Z#LL?aBV;89EXwKlK~bCql%p)
zS;4Uy?d12>-l)mriia%rGi%A12j9{NZ%QZ-&<qFiH3g!BW@$K#VS0_s826{EQd8rl
zb6IsVSFq-aBLVHxO~S8pLB_-KSUY!c{$tk|n;|_XA5%l1zT1>4M3~%_LtQ0WOgTc@
z+&uYI%7)B^CW7M9{`V*v*uBrQTXVkR{ENE&NF*2-pe<Yi<;ub<cg290i>}Y*?+FhT
z{sKZOs^@EM5E&bw*?O39R?I?L3snav9aJ{P7Rycw`yE1Nk}xkzmZ_qY`SmUHwCXQc
z>~k6j)WbIfE|B-BVKv!mSCl9wh#yB$*Gw!Zse*k{E<Y<0DY9M5wZAM*HN9TFU=3Zn
zTS=jhX9%!I2{2(qAgVU&jUdPds1kNhE|h;<R4xay!d6B2uW;#rA_w8UD{&fGQVZfC
zG}Jki5~qv}5bgy0LZ`*f>$6<{oQn(htLx|D(S;kR5=ee(p0%g|f`YKKhAGiaG_?!4
z2Q+C|*}avp=v!|Qa5PmDuy4e)C4iOMTU5n+x$`1eFc7z<3ibO3*~+M5P)YKK2iCIT
zCGcYE91$!^N$0o^sTx~bXGZ$2Kb(RJ)`Z#bkSOOiX14Fn708oa>DhRxY_er&x9q9#
zwJM0#{M1X7BAMcgry?TQcsM-+;%~r}cXsL(@AZ~;L*S)S|LumHbCaQI2B(8TYD=Qa
zRM@j9nml^l)7QM0?DZyWlGQ5o(Ss5=$-u7a)p$k@43Vhq=DarGf1pAhDK3gdUD1Vl
zc4+hG89#Sz?WX-Hdzm^heC>woD#EV+55<ynMfz|^F{M+Cu}nVw=keQm@tHlixoW1U
zEU#=6K>k!9ii0P+0v5Z2J64@!Twa=-Y&moK<m@^6j`+b)CxU~B$qaGq3#|=wa0EXs
zl?mc6@pEa}>{+`V=`f2`tlJ_581m%~3}ez7<3crAUrGl;I>tCoi)oL*Lg(Mw2D7Ak
zLEzv|H*srtv4^1fzTVSZoEf^PDyvxk8blY~0r6y*X%v@=wNEubYsvZR7&4OI_2*=o
zKltf%-3l%!x#VUn>pho2|D9Hx_H^LN|Fo8Ax$9Gli0fS2K1f?TB@;PJlY$?eIFxSW
z<b7Lo^NQQ8j4|_+f%y|$lu?VKWxA1@*<XEZblTV}hk(Q&R0<Q8YfSEWBrQ^zmZZ!w
zqj06*72!5&k9)$PuH(#Kp1;%oF&;=tg+;7PM6q9C`&!hg|6+g@cjSK6qQ%h!>#y{;
zY>ualqR>TCMZ^DKLMM=F*|CNpv~SumtTFFtJ3X1BlYnqgSfW3DZoOlU73>|l3*WvD
zN{<cP!8H!tul|iKh^E=$=Uu9z9#F;=a1Xb@*i*Rga2-Efz`8IebEbD)N59tQdueP9
z?SZu{)%kGao+{to(n2^tzrW<O#Yrt!w_i6_@RyWZmlutNaV&uJA5M;qF4yIt$-Q&<
z<gT!jdG$7Z@<LbXhny(sUteYVGR@M*8^oZ3HZ88XFvzbNYA;Lm*g!u>1lsTsils8-
zBYYrF>oD^oGb9;t{FH6^pz)<1p#K>S%G6w#m^%5o*9^Xl9}_<J+oXrog5Y9XSZXRw
z<OBDrdl_}hLdkm(?bs{@Fhxx*`jKf@20{^VdO$GB-PbfNo@(W1IwyPJj=h(Hn<>ZX
zI=hXw56y+9Y-Rr)6DZK+%r?>B6lJ!VM=C`6Ch8|*kPGr{elMNM4j?$Z&Mr2l{!Q-N
zT%Dy2bh2j)07@@0P6~06ew&g+4vw$=8IPnBpb-y_&&lSIEgm9L15nk?UhA|pLFt<5
zSE33bI@gj}>8h@u*uV3*#&ZCq$Y8iO*%B74-*w+9ca2^Q;2XGg$P2QW3~!-pvRP0C
zcRr##J6S5iMg}zktiLp~-)-&7ZbYFsn$b7~eGrbNT4iBc{lyOvu<bG1R*xTqKrAfa
z;=}f}fVrV)JgV)j-Fs<EVQYpo?)SVTc4nI`20w%zSH(8@2hCT%e^{GNRO$G2=<Af{
zzkoGAFv-mI>7A^&%PGfRqhmNEZPfTG-j$(3v`Dx}R1sgoJgAegQ{{)kgaCM?X*jEA
zVM$n2PHgkcy9Cl<8igk1n7y@8gV$4Xqh*gWK+);Ebu8$-b6wiOSAUUmZHwJ0`Z2zQ
z^C2{ib3u(z(tmB@_k(2i&BU|se+$2@1QZ!odJY#;MjM;d;Q-kp!*{57cSr>J4PhU?
zMn^@IP-EuSGyxJR5`w_D#idd^@Ho+(Xj5IVf;EgcUjKgW*DWOVqjIdawJVN?Bzxl7
z&@Aq>b3IK^{q}cg|8yj5k-ER^(zE@96#2%~=pE+MCp=K8^<OPBgV~4q7nx*J4HGbE
zVYWtH{tJ$HT2Qv(v6#yQ>1N(<NooyFI^cZeUva4DL+x^XRH!We8S2((1f!L38;k_V
zhUTTa{tawFUsS?xaBg-Mg{cO6F(z@q;}4Ek!>hD+#??}^lL<8jvW(0^nwLV#PWs5_
z%>v>ry#oy}&kGF2qlM|G2o`i>qr#hAQ;?;<kF_vO;l#k3yT=~!h0Rv0-vrqvgPZ7e
zvf-#BW>l1vc%b~jkTdn~p=*E6b__E!JuREew||*NAx`KBZ-W^i!}pD+4mzy5S6wyk
zpr2x91opL!GOamBlyh^m!ZLUN(tIR>B}fZnS@X}9^7A;w*fD>(?gksl&srJKgL2w3
zE;X2k387e2pp;0XjUzL1lFUGkn^Dk8pr!%s`D%kp+qjU(D6x1ylQo|S<1$hYzM3wL
z$Z8p$nxQOb?1d$VE0DyWh@O5tH^SvMt8MD&c)1pg&eZMdWC}ag6ax@)k`0g+gzw1j
zs$GFsb68HoGS#=WAcbBTp697;V$YG`-jVc+QV|X5A^D<zN(x(NTpri(LHqj~Y*zk{
z$yvBXs%)i9B9AI5>a#WP+Nnz;4fgVp9v}u;=HptgYsjWgFZ#S~M+(}8pNZgNDbtHT
ze3*yjXH<SFCvtNn6Oe9*1H}c$iMYXnMKd4HTH2fqT#p(M1%on0p}5n6lrx1Z|Mo4d
zDz&24!mvId9mu7If(Zf!TI|0#@y6AO{Yg{gFUsl~X2YyC5JUFtUZD@i6U{jh$bzK=
z-H6*DYaJhoR~NUyIlrXlr*JHfcf}-P_Mo9zg44)K{~I9?0MhJ(AC-2zr{Xs?Ti|90
zFYP`xK$U`z9@^@OfF7n4Z>eHV-52q2DJ=D^cPKPITQZ4wUBnCmEBsHvh(yP|Mqs?v
zC<VOb&Nk)nFZ$};a;s!Uf>R9x)pf0aMDrLi<)&C9W@Kd0^yQ^GI|1r?9nx*lkyC`%
z*JBN-$@*&D{Gc$^E_Xw-c9`(nw<hChSyfD&l@9O#=O2=;7m$E|Kk~ZwQmLUYL|6KW
zG52159(}Jb(<I{kS8nXu43Di6uzt}6fx4qJr7&U27L4vHXb(pruBS`{P4)TF4}YYO
z!uA^nDc5-$BpQ|G4Sn=nsOM&Yb;ZQep`u&Nju-&+!)+>An6^A$gLs&jSaw`sE_a%p
zxv~@){*UqA@YIPs^~k3|g?WMx?Axs<b3l=`tdYf*(;*h~gQ7bW1w!fs7gVLC#Hf4=
zY%sfaP$YXj<8x@_HDm$ch3aQs_kJ3gH99ibIz5X9*uw>=&s8*=snBi}PtqWV_|F%U
z$e+{`y9*Y;Uf`Ha3KU%F@On+B`zF2s4iS((FVwVbCi1dTi(wI7zmfS}XHCaA(<<Qu
zyDskyPzGty5&toBOA+&+k65|7@LtEcgxibo>h<=7;>_QT)U-+Hx-Tw#xWYcA=yM;S
z-H#UOexA@=Hq(8yrdHHdf2Ku5z#_UlY5p`vhfzidQVyk47fMx65Hwtu^^O~{qFOxc
z4^Jh;3!}7i!lQ^(wbgAD%wI=~`$Mbuk9nR2dnpWED)<j&z91-)hMsdo^N&TF(&X`u
zryy6^7R|j3H$vh%+y<U`=Iol=VJ4PN<zsxpOe+K<G^-Gu7hcz778qV!{L{VFSXCA|
z7Qn5BC52|AnVm^{JhzJnHK!IeF6v$!=nt9rwF0hk^vm}VkNo@7MURuy(@r{I4;!Es
z@OP~JGFF24dSP)<kOA1^EHV`H`uaNh=KV=2GUP0Md=VTRoNc>YLsiSqh?mJWn7POz
z67BcHlKpCcN=Hd@nbL(5mj&WfAmG&^@vki<u3QJaufJ9Y=|>TFg_yk#%E-tJhg-d2
zn-@5@qOHFpl||vzmvj57v#PM(gWvw>aMm7y=l)$^YJbM21XFrVQ5`2;{V)Ay)$fWE
zTbQ{d(EuVY#)|Y`Dv4(z`X>1IyvdW@Wtei|WqhucSO^X(t)xs{Pscz@PFDvnow>@4
zN`~YSwuB^Ag1XF``jE}!hVFkFlm9^6^6SjUS+jGCi#|iU*LBL$wsDllP+$TB?bYjh
zec&G)c(O|HkAm+*6fs7!V|5Wl1?<66T;b6`N{X<e3M~IP%f;4(TugOEMQ3Zx7wrl<
z<!>$RrxmRxXd+oqTV#QrVahMr#cQ8nZ)a~PJq)tFiSyOQ&aSsRBQQ@2TKYKV@p97#
zzN=BiO^ZfRTEf`w)em`8rA2VV=x-sp(+xcHL+YPwOYI?FO`Jul`pi@s6~^2Y>`Gd_
z^^9K`Eo*+Y)|pa7i;-c3F$~1DvvuFRK412a@KLsm96WwKpaQ_<>=egR8ta`!Fo{Wi
zY&?_oWKp>R^CDM*P%Z*U4FXIoyHsQ?*FRtG`@1v8RM^}SY0f^2VbD}EDlPyL*<uSF
zNHNO0=Bp`*wXfY8>p$Bw>eqIyllpeZiHwZAs3M&Wu&e0o?EIMjshbGUJ6$O61rV2m
z`-c!$yI?a~K7_69*z70=$nDr)8#Sj?1YwRFY0F<0f~<ZQwA#+)!45!nS0x<NHyJ^E
ziI*Opmi^h&Z=4``JQe`DK_T0#{`mM<u3@~C-0uJz_Hz<+1pq3nHaonMA6z;&KV?Kk
z(mU$ycL$J85R4XmdzldnS4Pp($0O?*Z0~NOjPwR(hw1}jqp8WDRgl>ep<<`9<rogY
zJvnSB?8%x#{w(IqqpvD72IptyPp6tc(vogdCBLdydw0w39lF}jB1e!vAdEMsxcNCf
zAQwtM9Hi;r9*p0DuZY6@;$q0myh7vvTZZ99cd1yeYQZKQI)vBv-r@??1@fY)$7!c6
zm^RpmKnh_H66R9auXO&wT{bH*Q?=AnHX6k4r!d+X<%~maufoJ?Zp=}jdDbjQ`gnJG
zax)aqMFY&M<9xZM00%X$VUrYr;MW%-0#}Vo&$vQL|KT0V80l}r?B+X>92127+HrmW
zha!cMXq>rzV@%28US?oV9QcI!q;sd>(&f>5)4g0TZt*l&ueW@G)*}Esd3MAUzC1bS
zV&_&ZkDLwf3gw$dYCi{`GS*DSkhlHi5$d~YEt&WwSnCR{Ge{veb|w2VORyMe_8LYd
z_U|9<K-4133?9swJk!}X>1FE78R2}l$iKN0I_T2#@K&PTOPcKKMg|qqD*u)bPuL;d
z%q9EWK3n?DwuYENCEh<GZr}4OelP<?ez;D_F>&Z*$R&j=R(2uZ77~2OZ%e~1lVv)j
z@m{vo;&*WZ6fyU$byEKuUkK3#1Mny1+cEkqCO@*zx}#-en;m83FbX#xi{FN}{`4x(
zZ(8gLg6t;bW~(2q|1KTUzS>~jnlSRt1_Gdp33eJQU#NkZOngSl)a^zRpBL<~xM7E;
z4feC1yYRX#cv9+GTvcxUT4QNi(W&5cWV*G*z`5zaTa1N`O$>Fl82E=p!{$%HATB(?
zkMUy1I*5WlcoapXM&e4GDz?t_G=a<P$CH%J9d~6;Ao*2=oFu{$+7SXL{<Rh<<LD98
zpdPd16FC)YWd-Bv>bfBEm}uE$T$*wR{On1bn8!!=c9U2En!Hc%rQr{i{({kATvt5Q
z4aRgk<52_RsE<jiukNrFnPvsm@}kmXD421BU%(Y0uaShUQ8(C`<0o_u5C9~@i5fu@
zNdx#Qx9oJhUW|@K$ktl**(1kV2k<9P>tENE$o|ytYqK?{+-;svx8C_uEM!mOO7K_Z
zn;B;e8~R0?eONvgE&@Uryd@@kF<lzOWx6UprI-018eGdgS8;nD@qhG-<v;K2kh_m5
z2M^D(E(M%XJmj?`RjkEv!WqL<CJkozi<B_?7x+m7q4P;f!7h-3C&=@9q<d>!45pVo
z4I0c5(}9qR117BIzrfIXSW;=jXy=M6dsMv?)9M59s3VpY8!oWGxbwYNUvr<<S7?bS
zvRR8aGR$vjYD#g9NF<K(J2#w&B=@bUdyT33?n4PPGjsIyYa3}Ad=EOtu9L*0o>a>z
zC$VIa<CGb(Atji;G7bUb+h?`&=&q=p_F`wtaG?6rs6OR5G0S_DJ&W=BWQ39+d7QZ3
zQ0&eYV=|KVPZ?VqE*g@I;y~CSkstr=PQ7f)A!i;f*Py^?ja3S%pYkt)*Np7!?3S@O
zF1$WcO&rbDDp(!fXB_d{a`q8pwiQKb?J!taKcLwqL5;QmsKJzT47TC{#i#{AtK)gr
zRMiJHXvRS<#9#PS1VBqQgrSWJt_4Hbs?&slVW@m>-ksa*paM?fpJb!Ii2<`IjaUpn
z>H>U_p{3&NuC{~+of3s>^Fv(h?eSE`is=W1D&D(Sif6~Up`McO=FL3+h#%)D@efEU
zW>DkhVkRt`tgo%i{TPCfmvuO-bk1*JzlSG@`eQ}u_vk*@$I4J1S%||yC2GBeRV&ya
zQOH@)GMOrxq>Ze@F!QA-tlIH-CL$^-$_o$<BwK{wDPpQM9>vbBuD(uM+6>Q2>G(UE
z%#tkuT<&`<&(Gg&xwx>oyT4y9)*%#*-N9Zte9Z1Uz;a+}JSIZuyDzt9T2oA$j|epP
z>q#`z13~}G`&I@FuKk^v6_HUud>&rbv2lE|c}5UThuM9e4o0g6`o_L1VUmmAOGEkj
zmj3|nJ}>_Zyh!Lp&`->M5+HQa*HYs^t;)j&qlR7k!g>r2B8z72S@pGRho7yi?d&pf
zE3HjtP3C^Jq6^_7Ugjm?qddLlI~3BxDR%(;^KYxuC*?!vl@*pSnQ$y<654s)bewTm
zbhGo4@ClJoLtV0Q17DE=dZS59(%--L9?}-XC`orZZF)U|BdJsA2zs5*=SM4`Zx947
z4}R4H$wmQh1ec9BH@`t5ajaJ_DW?4|?Ef)RIH;))L=B~o0+mZ5rleP^LE5ap$29=t
z#BK5wZ*z1L%GgHebTY5V8b5fk0*wbP7#o0rXL!4GFg<ZR)K)so%*A@Ld}o0m=ea+I
z%FNtc-5Ai_?8N!tT@Vk*Hh~&y0>-32&*J?cYEq%$!b!Fg&jZsqi9*VBJ2z%GHz%zp
z9xgW(;@Aw_p-u6K=#Em(e8g8R%^7v_uTlJd#cWcb^Q3RY5Ej9!(iPyc^kSS?^lHXc
zd_^7wyNHrhR#xgFZz1{#ZN-2e`|OPlFOOA<7``2AYwPxS<(5Ry4QIg}F#wm4kaIpA
z4SL%cOvT%OcfQ`~S3p8S;ye254afn)WBko5RE@)`3f8+cv+#%kA*9vtk+Be4^jJrj
zrV?77-OIiALO}Ph(}&-vbl4W1dMGEk_umXH453OX>Gm4c)$+c=Dg7|};9L4~1t}DL
z+I{*PnT;B$O{cPv0Xul>-aR66L@G`deb(s4y?tTFRYSp<Yi&7ve=DqMan|@PM{x(=
zb&%}+{T)12o%FJCe>8a)EI>XwKDMt@=-yr0;iM))Ad*IoNvS^C=i6v@87EJ`+#C4B
zhS8tnJB$;<6GUmt8BxC}9Yf0JEXoC^hEF?SlB^FnC*D++jsYi!$-2$I_X&MXVTAvI
zwfgA39ssTSnV8L17h4A39|76T!MY6UVXz(%4wz*OgYS(MjxACHinR7tW}G{&w`#JL
zj9;R!>Xwt<9umbp9ecy)R4oF*%dyAlwhe@|pX;!QiZ={19JfvpG|tPnj@Gj3?ZG!)
zRkzP=&L<KQJG-nx{>s4A{#{rG%68GW-H8Q~v<zt2bFjY?hcM9B`!U8bc?ZtnAE9Xf
zCM*DW#u#YAcgoCg$2?Z-{#FB>YID+NX68dqX8M+z3VZkt6L?F=3H|?{3xMZ>r$AeC
z+RaN$7I;>W;O^E5=7O!Gql6IA^eP#da$twES=iz4e~W1lUhYpDF>qq0R|0KG1&H>p
z7BL%)pQR<7S@KbdDGO;sRl?+dEpoePKE#LM8+$#kXubF)MV>a_DPyupK_%KAX4*fn
zn=R`gBXz=Odd`lCKrvZ#(L-_Ra&n@-@Te%AyVRtfOBrcXoa14K3-0}@Z7NCIw>{HS
zC;k;!%oc*Co$I(xNyK2iO%hmN@oSOVr>MwAi({k+t9M)VJkjhF_iz#HxZQsxS{O^K
z_~`B!+~iTbo{B=NAGJdlcPRB(nC1>Wkk_o)`(uQcC&4<$>tc^*8wn4^0+0r}g)6_%
zNgq1_vUaia?x_DuOv04PwbN+FoX)ucQ-Xw|`V|7<)`uS$PkYv-)|WIG82`X|IsJIm
zbfKjlkW5N`G-sHqcJKAQrH_u;FdIy#elH!K90ZIxv?yrA5t<_7MM(V;=Vf%tSlS!-
za$Bfspo7ne#Zu=|G}curs>-2KQz<*U&d>T~)(IENs6QhZR6`6f(wG>^2vbbG-l~Tv
zaF!WBW8YGoxEGbPHwC*wp<`K8vN+aUcvR=Zxe2h0sF3D%aR|u7MdssZR_kw%p<U{Z
z9y1W7unl{EV1=<=5!-fHm~E~5JpBHJ+*Tv2Unue$ytvL6D<LdaEdn2zM7`dT1BN(&
zzovxww2n_B^P+z>*ooUrC+kynHoxOk_^xoSJt8CR9%ff`9yOse?}mK?TteA#_^JV@
zA#p{G{G7Obiy#QQc;K^1I2g_Y|9nPzztQrH=EU&bgyM9yPuFx3_m>nzsTVF;66O0z
zcj*_-s(#bFM~1UX^tc~Nog?CeXKrvYJk9!k-Ko$}XIjN&(E=Azj@XQ={4MuNwD5F`
zor@H5GpM?Lkmtmu%=`%=U-wW}JAd})H}>CJ$<PVPZ_n+R1r|BGG!k8Qta~P~4Z`5J
z9URxvPft%<U0+QeKH)_q4d+H(=Fr;Up(=^6u-qcYTCp^=CqKwMZee)AlwANL<uS0{
zi9fUM>*@x7xb-D*eWxG9cxJnnX?kvMPC`X1L8|4_V^)$CH8f)2%qhsC07e!#wXzTu
zV=KjpI?RY!XlOs3z3cPxEO;65$uv9>qwn;AP@p&<nZ6arCMs$a8VzLzdG%eC@~RNx
z3W^r0inxm#zzN9{DoI?yrm%qP`d=MX+|ltN34WD2q6oN8l2#h5SDlf%vH^3PoSbEg
z9~&zxFKD7Rdymd%OKi+0g2yA@zAmudv^kx{ruTSnv0Q#xrcXYepmDx?_z0DsPHmW&
zBcYHQbtA=;x0j3CO{6frdi&T-tq3*@HC@}=x0mAR({naFSQf<oJ|H1DoOaFdWTWzu
zA?6<9Z@$_X;T0TEeB7I0PdWVu%fHCbH+I6j>_C<?@0u$&H&>tT@~OPMTo+=CB5;kP
zM@0(1N0M_XRtYyMP&vRamf*bZ{ZB?-^IECIq~2*(K&+rFGfu&S5nb5<&0&Re@rN_L
zF){FTb<lL<D`e{I0vf86rort(gN?*Kmh|;Z?(9<YW}9>`3c9Dpb->_f-fOg}naOL|
z62JFlU(l1wugmMC3Q>VUj&ki5k2GfKoA%cp*{ziCiL8JHolb;;2OPRkUfmY)W|CNM
zXPdiATc{M2u8>gVIaED5-=F!NERc5SLe8P_F}`JNSK)b2`T#`Q0){pnmY*Q;xW8}^
zZK8Bu4Y|47g<v5B5Nu=d2!0GYvz1?HeFwoX3AcFd#xdm?Ux~9;96d|1s=MZLW~A{7
zgG6ZbP?p;vFl*g~&{R{!b_-dftfs^5&t-qcu;r{^2J0WKa{?imL)@|9lrQCtG7r02
zQ~U&Da?TiLeRk+sDF|aLRSj8wcSMVRSvfLklKSK#(j1+*8SJ9^85xo<c*7Y36B%?P
z4|3^TOk#bMl6k?~B#P3VlEBnX>(vGsIzhJdK)f(m;n2VgC?WN@=J@Ps*D6uAdqm9Q
zG!Md#DSVRFG<>@+A-oG~CW;enI=>8ErohwI7P~;qPDl4j6fYkyyCVol^v99eXYMkO
z+Ox;lV011)ykhzIhl6f)73J!JZ~cy<3WvaF`=EW^zQr4Fmfs`zSnX!J4S%mscIHWG
z3gO-4?bhyMO`9AT(1n|*Px+Y@kmDM>WFMZ;w=_mS=ocR}U5tgnP9T38hr9;dN(W3p
z0V!q(VbHEu+F`mrjYm2lNo^BOla-Y%$d|w{-@wbui=vm8mn0~#DI$OJuoeHc1AP4O
zY&E6gvLNm7yOczRKCed3)|xq*4En=)X$w%nYXVlSEa|GNF9k_L`u(R`c{*~Htib-R
zjCr=?!Z<rW#6y=ZT43jDW~xw0!k=zmnXv>Q1tILN%~#YR{V7LkV<LLP+Lg6Hx!})C
znFW30x)&c-FRPO=krWSMMa*I@f?b`qu^9)CgB0ItYF?j-$b@I2f-ZKKqAh3%d9=XC
z0nUVlasG=4jvf2&&M^EabJYO_p3)U4MC3iGg8xkpSlu+cd;JF8m9D0y_GPuvRxon`
zqfRJ?n0gq$TP8$d_b1C`&=FeJVWNTwL}l&fGI_3qV^*3t!*b!5j**(3wfA`h6;z%3
zZGYI`&hnLolnkzC_3uYV1e}Zx4docRAJ-(;Pp5FIuq_lgt5-#hs1m0|g1^0OCd>h@
zFV;34!ZN>FUlWU*JBx0UytlWCC3}8LByVmc<^r-dv+)Z!5&Zctzkul?VMmIo9F6z}
zMr5ur2@3%~_nFES+h!f%ad_RY3N8iBHHy4U)2<_MHv7{DC!yFgOKG24?o&lU?T#s4
zy3H+f*hAQe2&&bct|GMtqNj1fS)!t*i$H`e4uAowHkoh8jCQeO+zh4V|3r17Ygt6K
z{}a`DQaJ>J?;b6{S@e@&5fr&D>`gB<&-pbm-Uk7pL=hB!wuZn?;+$G?)(sBQDat>_
z-kEUY6pt2Zx+BmKZZGv}7O5#mufC2kmI`v+;^o`oO2Z`J93I5|<^qRVDa?K_{O6~~
z>N@xzqD(Wu6a>r&&bgLF{4rL>wMI?A>6$5zAii2Vf95KU{~dE65AJdsv0R<g8vU`c
zlppFJBOUHOKHluKsWoO^LgCny{MTRphpVkMCuvIq^;h4>m%m2MXVA55@=t%(py%Ce
zQRO5Uu!8(0B|RNy7kGWc`ePr3axsgT8x8f5JBg-$Z)qVGCMwve(!>m>Y=m-@XR34Y
z&m?y^oS=j2+JD|I^wU!-v$m<Y%VkMAF-x+-g*@MA;Wj`yrgpes797C4=8H4m_`-F;
z_o7cyU=x~<8tFf79-ISL=J)Lw+pg35t*kE*0MUxmF{ua2_QrNMRzmbp8}b<vAfzJU
zc+eS=7ycwC6hK5D9{jbN-{MJ_ncO5hZddMoeQBXx)mIkA6w-({&QMJdp=;^6dcgml
zNT@-K8kAr|{<J?cn(X;IdmjfE+JE+as`>B$loIeYar7Pp3flv2v*%X$5;eHrm#?>w
zW!T$@(fSw}a!2cZiHKhHMUlEmqCdP?e0Bepi<=K1-;4uVW3n4H*m*?_*{%P|Cf+j@
z9124W8~AV{I^HYqbLwH2%=JB=rwh7$`}k^<Q*U`Va~1BG=8C!$<mA2YrVs@~ix-ec
z9KZt%8vhkqSh?wN1No4_S4p35U0TyEymsi+0GlaC+;*6LPE*%5GkYodYF}4CD=xih
z2N?VnNn!VScY)UCeYQrsFht1v?#%AeHN;Ay!TQ5x!8@BfjKYXmXQ?Uz5mf}MP*<9d
zyR32jVn8MAl1|M$+~Sx7<)6q}SniAGiEGhuoOHNQZn(|b`_Ae^d^}O>oC#hU3P3nI
zmNS?Zp|{u-Icfl~P#@9YAWP(Ze{xCuwr{#A_<U^bG1VOl9@1fJXU7T%Vzc;$7l2#t
zMj!re-<=q}(UrO&@3@)}OfICm>o@ze^ZLl)2~2oiVGd!|l6uph?K;I$Kg52QBgXx4
zdixXe&^{<|zCk4*MC`Uc<fQUOrFC=H=9l)DdxTfqM`Rv_66?e>`P}e*@={#Qs$9o4
zQI}Sp9VyYQJshi~%}LLLlf@XU|C*=fr*h?k)+I=R`choTrEI$vmjLfN4hMO_@|INL
z{<HSwFLyIKgdCpa4nnrFH$des*W509_YwBn$$mTT0TSnOS+{<ePv)5!%1wn%P0aVl
zE!GVlZ<Lt!2HksEC8H3wQ8waD+_JkP4)kNvt}M?f$(UFhqe2R|Z9R+!2a&0Isp#77
zP#!YD#ck~4;@gec<ee~jjiu+oQi*wV+rj8%g&Hna%sye~8dG6x=deP_8UuIBp18<>
zLzWnwAZ20nT$0tzeHk0EHoy7T5&Nd5SSAoR=0ZPpU;H04J)*OJ{!K7dG3GAi2avW|
zO*shmG@|WWc3W%4eD4!z>&|3S1KFFrVOib2D@P^)6Cc9!Pi)E(_e1v~3hkJmYuvc3
za@dWRR<-5aW_nY7dg8?;u)i+nTRWbh{#$^IaoUMGYRH5*_t>a6ss<Z1Ku(bh2%Y9G
z3&@GPoZ-~LDmcgBfpG&A-SaRLC*&zBMFy~N65D!sf5NBt!_)S=pb!Zx7V}h-6Lb;S
zN)d*^E(9dwFtHJ$<R_>4pwZj?gj5G_t(>P6c_p>7a;p}4l2LDe=;tR#qvJj{*4)5{
z_wzc2*(s+^#x`4PgGKW4Wq6c;Iw)^30t9YD8o)hxNqNoWDH&Nslh&pPwmSiRoO+cL
zuyHLpED7W&fWs*7%aR1&z8OA19Wom(-wmfB7;Soz5hgJqlLmt3oqVnpF>ExgibdEB
zmQa!#!#`K1!Jh%wvtHq_7l1jT&Ll4#kqp_E7502TMh4eQt-er2jSL_Qg{l{<EwNz8
zDN!)GF=T9T?PdRvh&VY|z7vm%f6O*B?odheG>A8k)#-EA+^DFbIn0!gEXO~)5~QKF
zpRd%OAUwNQAtv1IkYdWuUJq|<q%puNmu$CQR-E+eLVp-9{|ratc!!+VMoR)N5Z;1Z
z>_6`#n#J8(ry1GRNU8I2G7UthTTl|dk*FaPnCa7Jc-Mi$|AB19R?;NbhJX{ArO6^d
zvVHE~=#!WMpQ{GN-+x1&IiUu0m^bZ;>fxs2;drhwUmA-Cs&H04s&2dB1381gi=cZT
z2UDI2cu&~bEI2kp$tCkvIkr?=q2VAPAyehC(89>;*z}&Xq&>OlOGQr_27lMjX!@;o
z&l{1ac!z?V-%=*|xcYFoA?&6>W~1K7s*5l>K+KCRH@jcDz7`srL%E$<7?JX|7}Iy7
zd*|%=$JoCw$%8oqa4|mP90&-Y0N<4<^ZA6g+x$s`-je3nOa{y?%Ax#eqUBh#oP?!G
zD|rBU4vEs&huClAPL8J-{I6acw*ZUfOTIi`Q*cNJYty#Jcf<ZAf8MTUF1hxSYaO5T
znu3)He9z|!5CGZ&_RG0tw!SLiyFZh8Bx?<iDf*o{Xh7QaNw345+z2#+<t{~li}%H5
z^=C0t;j5}J*2f;(M{U5|Uuc^JcO2d-hjun5nDpn^JD%^#w8TE|fR`_MuZ#kfa!@Ri
zBXtkrJ5gWKf_Y-|eG;Sa+u~%aU#rxV<?sJ;QAT-x_M}@ad;N9h2!JEU<-~%;aCs;d
z8Y1lu7=OKf<%hFB`7Ht~(weFr6T!;yR1|4i4|y*wt+@#x_PW;gNR)|lu%<}1SA%x(
zn&>C4Bx!#dfYSY>)3L702JPJ?K0NtL79Nr84CXcvi01z-Eg~lcIz*OOtx5=2vy_a&
ziQet{!`^VVz2n~3t_SoUO}kne2fR5yZrK?q%Y>SLnjDB?-L54XU+{5KTn&)%Wo*Dm
z`{gJ9YTmR&hR%Esz)N<m8I6s2arkXt?GFY?2TLMMWUVyW%ik`jW=A)ExUq?E!j)%4
z(4uGB<Ak<n#}YAc&iFbY+Xuc*69?|xuY;W&G?cDvR5(`L?_haJXBJ5K7E7KpKiD7W
zCbMr*!C|Y*>yelD)$T?W(fi~0B{w|IU#11J`kNvGtKr&%fJbaWEL)9uN2H(Vqq%bw
zZBTItyDyDvS|2e>nClh&iNHM4eA|MN(_+I1bHT$mD^YCJp08q^Y%y}v`9v!3R*S1o
zbB*3n43Sp-x+qyai5DNE@eI-pW{s7M^iS^v(Zp{b;{i|W3*6|h{7z^d@;ZPZlL`vT
zlSYTdj;F^m^Mv*Z-A`e1$??-^*Q?;(5=6Ix*2$~A@44T;DX(jaaV4wS>21K|+JSi_
zXLhK!&&k0B0{}3AU+!&EQv!)5S0KhWo@wF5Gf-57z~$ml`iMuQ(6G1Gp9bI72;TEL
z5lV{06bv9dt!Hm?wMp<*IMVdU&=$BpWKy{Pe)Qncw`2K^Zw@I%0L71R1<U1Z*&Ur6
zN!^C<1ZCo^x5UdDx)`0+pM`Pw<+br=JUGAOaY+nIn6h%tZC_pRUgA(h)tdjJlrYCc
zk88gs8Z*P(H^1dnEkj#Vmao0$c7CMMD@W@a{SkYr9TTX_cl+YD@yJAoEC?`<c(@9O
z)G-k8+5Lx)^$!fcKrSCx{8DGnDtWu8e+LH5JH%W4nFOHAu}!~$dySr`N1JUmEH-7a
zl=$4FfPvIai5`~EyO#3bdDH&X0R{)9CPIJtOwrPnZHnTl8kf-*^uC9(id&q=nFF!#
zpjg7Zo&lQFV|8BDWOdGC&n3cw)V_U>GI_a;^4M}|6-T!+Zx>PG^CxX05E}YO7D|IC
zy<(Em*CPZW@^9Xgx%*+Z!z$PBbT#O}kn3Qvilm;Mwo6E~cV{Mj4TRc;`uJqtt0Nf?
zh@3>_8~A)L0iUhE`Vr0#R;#FIbuQ3WojJCrdyU?A+XP9A){EXOAS!4x@m*|m7iVLm
zFg=9`4W+Zwx`Ssv>(1w;V4*gAuB_5-A)qa5GzVacmo;#}Ff7n?HQNJjveO<{_hTD_
z00xx!rKzA4$2Nlpqtm%8iS1P@S&r6|?;({ojKkJiW-L)vNl12H*Oj4KefwUWHx`#4
zqqjGfgjOwyyU~e>A}1OduSV=&oEmAo1(~1Xe+s(ruK<H#x@>^net+_O6SJPV0V$}j
zTE@D`ts4o@72mqq8)6fB^ko#Ge>6m4+tHFHNj^LBMA?fL<qvC>7`oOto{|@)ShiSQ
zyAKd6DAul^kby`8Et=tq&lMT}S|&LX!{=JBJ(m|Q`06C9cXFe{q+8o6RZpFLuH%#l
zA&)-oPqH$CnDW##w;3)oFGw+B-ITm6$&}@B&%+dAOPzspm7S<@J22Vbmd&JtfDpJ9
z<PxLrt^H+Tyj%{`o^|R+;v6G_CERPA2onbxcV=@Wm>dyyskuMRi!gk>hl%^TKK~VG
z^$8OOee;!nLE?Jo4!y^YwJ*~SPmMu)e*D^fnx7|ffMZ-;zyZN<$_O1w$w?Wc5!VFU
zVyeUI+iLq`lr7t=IXuinWA@9q#=_Bz<p~=Im>WnjP0E0PIf0Ze2c%#KKjD*bkM?o9
z#Jo@k19_PuSZA*9q$jq&3|h*GpjaT{?6&tiRT7kG2~BB6rf<i@&zOyxnyM5<cA5RF
z8xj=n|EUqVVYx}v#c1M4kbuX$xc*0asCa4%bNTEKC~~~byZG>ZIl|OCYrXDo9M$$x
zSLc8?<v}5(k^j<2@_xQa^0X5)L>LUBk~QCJBBQGTJBGYZ+LqJ@d|pj#ckUq&W9~oO
zgL~5@n?3AA(V51dc7OzBB$)5&?B#6;fWG={p9GhSpB}KP=-6ik?$(dpiwKCnKN}oH
zAlyAde8b^OtkaoY^cMDhYnfeE-)t4+k)CiuK)X7jBexk(Mx3vwX#MasKCNi)%n!er
zUwQ<)5^y8!5BT|QQ?u$XKp#xVft#NFuRoapp!0w;m?cQk>S%dvXo$IBI4l?M(x|ng
zv)<EI)b9_j->^!amPR^VuQ*|Y6UjDmm);q*IIZD)Ljb-Y@(=e{n>&eo-<67ooGMm@
z9|?V_2d`dC0LK-|m9Lg5pmyK5?(z#=v}a>;>wO3SXwmya6F_{Je2{;o)xNyRw6R}B
zNwb&que2Kx5c6gw5mh$iV$wp)m`6(d{#<nGV%kCs@CLoRfVxaMG-6e^@Lgwt3>TYV
zwER-w!Srq3n&H|;g|g<rN|Of6q1{1DuQ;@^<&d7j4mZiN+cRJY79mr`6nD&Vhl`@3
zs&gJzN#-R5<uJns*qMHkjv(A3`y3u$7SKZ^(PtznYjv7*`v4U2T*tp5%|9ThFpPWQ
zBL!~VhPG7wQw^H`I6m)f0{3S$jolcI1V63@IM}o)Z>=$K&9CsaSsqsP)CVkEA9BkJ
z5K%W$Sgoo8{tqlc)4ucz?cJEB88E7MX#6s0jiqfp{oF+p_7u)tU_wf%`WcIaOB+`u
z6(svCsI?9`f@3Z&Jcfc4K3@_R+sqmggId?sC`KNv-5edeR1jPA+jH^)E_L?e?$wbA
zp<1Fr{kJ61$b?ZtAgGT54TdGtMJ1wXf331hj|Qx#R*V-9HDPt#RO~x*2@kJd8UH@g
zPpC_`bg9ETWm!=*(!6Wugj1K>bp~F$3u|@^yp%eZucDmm5Qp<jXN@7>g07x~x1!rA
zx!8roteRk7eWH5t*DRU-V*sB6;*0Mclu*^=<N00tuxaB;Xd#SsPXQ>QWW7%mzX0F^
z>UtzT=Xw)T`jQP7dJ3xX;EizVaytfsLG0dlN>eBO8$uLOqR~nyQBM@@*qzBo7iTyW
zMqzG_?)#xoINaRXi&<6WXm*&`ie->>QlSFr9|+*-?Qdb()G92hQ`-ao@Y;UNsjWh5
zPe0V+7(A$~`&EeOty&m|(LFefZF`S@_?Mq;c)8@(ufz?!v!+dY{fGav`>!9Y={*nJ
zmbf8=Kp;fruoAC@LIW4ud;IaD0u9)0!F-|^F~kEwk4MlAt^WJZd+_mFS0B#tdg7Bc
zUZ1AvL#_a*0ssU;Q~()Pv}FZZ=FNv#-(y0VC<;Qo|MkQR@jsv6wGRZe6*OVcz1rP>
z8bI}MAWQ*}-|v2JaAjRh{{FLSISInmy5Qfh_7n^rB@2y8tNz#L6@vgGF9>lZ8UR3{
z@<Iag(@fWcg(}LA0A$+0`v8EA(a$#kNWS6B5?llCC~~f)13M2mh*Gc!PjLdbon#|n
zOxj}YZ_S-O+(CsMp4xo~pSyEy{O^6Io3XNPO8jr06o8#c)b_o{P+43MH-7PuRp$$E
z1>9|3a|IM$ucsY=E(^+Y`%mEC|9d+g`p^dT@lzCU+0td+?x^k;=X3}m^xy?+@8|Al
zCf4&U?b5|dS3T@~N*s*hR8tGbQz}u1_NdWCYkXl>=Xbq#3e$=Uv2pc$%X(=a2kj)7
zw@R*sH4tf^FPegkxK_OS`oXx7$O-JdwPAyBaf#r|SAcL*nxUCwILHxJgt|X#>*<es
zzh1o54y=eIUHQh3{)C6>*J0i?^Q165j$CZT!kWZ(LyS?DZ98O2ari<jswNa-D5#Fu
zkQ5o0yEq1CX8Zo(APRGH&>skz_QASjH#Ri9k6diS!Ww7EG@YWYasO}-FC9LuD<{kP
zMY9()k{6LEBW9Zs^q1$_y0}+Up^B|%+D^2MKzJqtb0UiXyn6BPe#9VP+og=lmF_-N
zO-L+w{`4<z<1=@xakP)Cy#uH$E-?IEkyZ8-7Z+O)W)w4}toXM_FSSkfhdtZaGB+%p
zw?Ed>D3l^B$w#01!^_J)f9JX)0Jz-IJJi<JZIIQP#2YE9Q2gR=8eZFXzWo$5240q!
z*1Fwyn^Lt0yUc9g(%Gkz*O6pdXXRByD#!E&q`1qnx(54?Ur_z6gaslHnY##7Q(E+g
zr}rLPe5s>1zv;5I9H0@0E?mK!DU<%EtRUzAK)}pcm45!mS5Z?_fyL9R;$;KDa9qYN
z;rwE76{$eAzY&U-$hO*v8fWw9^<&RnhD1*N>dR-h0J!^OU-&rzeFTWKM?@f8!#dUI
z2Ic1DbPR>~3CFYu2|dA(D5w)^Q$!XAI{Jp5sV*yu8+hA#^jgS<^IO47DUpM0`!6dB
zpb%a#jOtoYlIXxFg;#UHh))Z{Z+E<L<@0}a+b18}xu=N&H@Ec;e*F3U$BjL)RJ-Fh
z`1hqi=}r)csg26X0;nhm_HOJrM}*iUL)nt)dZ?fzy-9DZSp?w8=;sFkyqCecqzu=<
zJBm0C`*x^Lu22PnK?Z6?p{jv*TU$2@N)iKhv&p5l5%r9~vZOuE`Sxy=ftP2Tvz2{Y
zQLy*)B~t^hYGpXO&#=Z5irT#9RG}y=%sm9))@kKx&r=G@P53ZUkECQ!C8*%QdW32T
zg(VD!Nb&t&|L>#A=1iM%?}p{NGRIC_LTQdq_dR>hc-dhiWfGqiMM3v~KFluWL7^Qy
zv1qj#jl7Ln<Gs!UP&H6=Cf=V6eFH(=cRhmvl;rz4r4z8%jFJ?t0J)5B!~lgXg4ztF
z-rLxORV!wtEP7(kiSsIX7M4q$y_i~7%>8X(U^qS~KhxHUnG?$ZsM`ahLH=+sjH^BU
zh6dj5!C_3`$O!<z<?cR}f%olGiODtFya*8R>QTN-mrN=8hXZ)@#dk5GAU7U$(L0bx
znD*G~`|-*v2XWI)i!3~N6Q8&5J!YAF_507f4xdj{8F+gJhvV`Ic4TbqFgP#_m`O`S
z;kBpQM6{Gr3Cx((sK4wQ7*d51^SET7(X7Z+AK%U4(1j~lJ7=0{89^XiU14(!B3=yk
zbL3(xR@F^)cnme|eS`SX6EEVspSw49Fvt6_9=oVs3Kth!P#``Ks;esBdf(c4&*=)Y
z6G!I&03ZNKL_t&$8t(&QudbpftpJJu;P1Zw<PiX?dHW}X#`Ai_j9NmDBq8M07L*aS
zq&1#yMvg}`OWvz%IAtc^hAz5-B)<20L`aeXqR_u*iwKm;F{@ozk#sNHzdi8+w!W|z
z(G&S2`x~$Am^h*E+)qBSsqm9O-R^YK(Fvd|el7~dlW!dO?_Ykl;efd2bF*R{QU7oN
zuN^(BGVu2H4WY8KByv7hb3{Vp?K}Zp31Io+X%&s)+Rv-UxJH|cp_70%Dl^ebE~zQ~
z%v-0fR0u@4r>%DYe!uTHfO*>eP^vaUDh?8*i1Eob35gz$y0Y>4h5F{aazsB?&@`<H
zn~V}BiXaAAe|DKtK!D7<FzmHZdGJ!=)t6Qy%kVF$EsM!^yiOjz{i9af#CLCSm+U53
z8xDn$>*H6^>k&=s9-GH?^$mWcv?%{EP94}kT@PLWKl@C56M+An>3U=lRY-Ube-#Ns
z@0iCOij6AH2G-n!V<z;N$ShDwRmlpPF14wubMaDQm3LU1`CFSwHHEH&TJ5%r9X+}-
zc19?6u9d>>i4stOke3giMl&-R>>o0}hVgwV6lD_%n*bo+uQqTJ12>&fON>K-pFj5|
zF0^;!?UNTxi<%jL6$-4GRn{j-in90UIehmQ&+06-2M(S#Ou+Wovv0izLjEmo(9jf9
zT~C8a=bzp_tlv~qwrgNWl~vj3Szy0rC#;Gt$r?4C1po2HM#JA?eC<E}07aqC82uj7
zzGJW#7{)GA2q_hDaT(VPM`xX!HG#`rk@hc^6y|bQABLlLRU_{Vr}Pc$ohM#8)Fd~a
zX~8=uFL1Vq(A}F@33>Zy;vHAz2Ql*Uu`pyk{<=w$PG-}0n=Y#QM0WCO))nS@e8&M`
zC=^zO`d)7D!Oyq9f#1J*5VEY`%=y-6ebv|c@P$^qbSUBt%SJ}pNh<l|)>jbJNI|fR
zjyv`qjep*A^1S8#jIgT|A=qf$N{aJUH-tCUe*E<VINz=xBWN+Y_mV8bB-wf#_F8S<
zdyHE~AcU(cY+f(EvD>J=?=)S~8N!{?e7O^S{fR{dNud}HI?Fc`ut<34^@;I^?ZUbC
zVY9L>E-`-jHw|ygAPWe^=a)_^f1Y28Bn-TuARv^|#N4&FcSt{&ifu_qV%!%UWadbD
zx<Rj36ov_<w*z<~5SE^Q`S59U7$#s=4=^dHN^(n<6)1|ZF<v_UedMsURb^+Sw}12|
zyAPR3?j=Qc#vbHgQ!|?|DhvP~F&vQr=Y}c>Ay^pLjvc?KO1cFAJ|$SYbo!(_*zX99
z8OF>fS&jRfUW<M9h_S?WhGX%#Tk7Iz6^)ChRs14eb!JY;JL0UWvfupjQy*xKluevs
zNxuJhVmm_DefT?n^XN<OK$aCOUNqwu`aJ<eW8jq>xP*G*6CWD#i0XkrOix|W%w7iq
zp|`dB86H+Sd#J)SB+;k(F&gD!5Y@!mbXC?~t|K1>zRCQlTInXt!i)NQo*Oi;ByVH&
zWdB%m8-DZ3J{&hmI4=;vmIv>zUu)dS`<*rV6A(Aanv0f601hLvSojqH|CZV6q!!n}
zJBnCo3u#GZsGFihl7hu}x$%^$Rqg0V*zSe{n#njJssWUdLC*-)<V70}&&&`HUbuoI
z7u(FYH-Hy@qlGmJD1<^#2<aUP;OTdc;Jc6S!biUOD0Ut=WxNCC5alIB|0NiNd>D-p
zM$3bj0yx*&iBEj<R~X_L5?Lg(Iwj770>Js!4qf43NQz{r)on`gACK=kxumA-tBG&b
z<y2mH3e{OSJNpOG7R?ZB^#~k1e;MJh90rgO)i;4PwtEP9M_qTt)UcJ8tM^#e;`NAE
zi9n2I2nYnjIH>UuvEwb-+M?1<cH3_kd-zKXU-Tzl*@st-oWa(&4&e`P9>n&&N8>MC
zsyujkT}Erq0QQ_bZ>mQ<989cAvLX9s9{s#B+}}-(t1`lAr2?71dHqgoL948y@L^tE
z6oum5V;69>R~@dYt<S4R&)`^dq(6M)#CZU~U*0>ZYtXwmkq?SYb^Q?g7ke!m&$Qr=
zFIg{I@#r3iG;xC*U11i{hFmzM>PaQ#SdY5~hHN!@M)zK!KxuJ)N-`ry`aS3G2X7o`
z^ej?J(a~p|K*|msUHz(BQcCf=H}>Pm#a6>@w7hootm*H${+zhgy{o5xlvc7`#skZz
zl^t7LTmEAsk3WI+;H7cziMSz5{(tO!d3aRi+5Y{UGm`}fC<%fH30SdOWD)3M`_&J-
zxB!!ATWRf2+iG11TDyPU+kE!ZT5F5SDg>o<qsA&EEFy>qN(lSD?^{S93E49<=e*DF
zkC}7kEbp0_K%%H~Ul$jXbKdQ2@B2R6{Uq`Mv2gGLKx@e6)nL@6SrczvR$N$cBSF|U
zS##c54}kw2J7V7))-*I*m9Nl*fX}C!UL(dDVKExH`0ad>kPQ3UVq1@FWn~Et8A7U{
zv!Y_%9xPt6-ga!-gX5d7>fiT-Z5(PeIh7K-?yg-jp0$?QeCQ;CZQ=hh{#Moav@*=z
zyffCzkwxQmNl$Nxm5tq(Q3LwfFD64ZZG;4QXe*PQ@0k=Oeh3|6&oN|Z>_H(#Rh-_$
z007<LYg@kV&>aA<c+(!#HnrgO6&tbYy&cvfvHOydM%^0hyid9S7>etG>#E*!$Tb7+
zGW!>?GR*QwZBahu&z3(OMhg!GuS8>?>}0Q}HO~XE()hcfC5Xn>U|iu&RpTpojfk|a
zN}AUkV2+n<EX66LfJ+cj?q&n{5rDscxWnmqq!a`nAOs===gFg;8s0cFt<JFw)nQGC
z5aO&ev6MMZhX6vL5SYpg@7iNEi9KlSeR~hldhW!Tda0n3j7>EeWw>3@3^3_tt(y8K
zRMj-Z^_H<G&<U$vmegqJGRd*TgKQ`E9Iy7YO4imjI<3Pl=z{U)rah={3Az*ou@y6N
z;Vf}i(gjNs(lEp2s^ok|HZMH5l_mDaC0FQ#wAkhA9LaRyMN?uQcdYZTTs`Oq&T++~
zXlRjmBRcWO#BV(q@4OHK`%Wh2L3UzqR49);t0XQog%kk5-{g9s7cW_l`uY|uUbY$A
zkDh|A3sluNVg91EvG1*erYza~92360(PkkqwDO|bm1N$^F-=b4iyg-jD7S3#wD-Iu
zixwFFtLga4{eQ!reYG+7D4UJbJ>FBN>O$5z?udh9_vq<5Oj*1ddrqEqEl@{JpEVW1
zRyc=tDB9+plc#a&Y$M*?v=>XaL=2ic_MdQ8PY4DuciB4ZICcteL?bP{ppe`5=gb*9
zmpl>M7OUMSs-<no42rI?MQ`Pdx7HxNl}!R#UDuI&>BalJ>Ph>Pba%40A?oqoek*)f
z5;Y^D3IXFe?mQGrZqwdR@J}=5ZMgoP$IZW6+Je}=?>GRUsWn&*0BxbLbR1r2Ot6oz
z8&xSje?|%^v<E`SHeBWlr-i+}6f%6iDuc<2qZ6;cYsk81cD>l_*oZc^22X>OW99(@
z=~1uN4F^x4IT*IdOpVQL(AAJR#~75lA){M%D|mIE-~1TO{%xZm%P*=109{jz3v*w%
zBFQh3Bos%_TJ&0VRe3vlsO09GhyTM`rX>_cxO}q7qp2zpJ!PD^OMZ&@dknhA__NWH
z<SiBjL#DOKCbz<8UmJrK9$E-h=1oiln-fMT6iyg@@Sio?u&?qAR%}0b+~`SF9enI;
zdhpr~@7{B?0RZ+_p215iH=%U#Iy5!gx{N7!g+{ubV>f!Ti1@EN@!s^h-n}j|7jaTz
zWfbzJXdvSMW?-WZ{Ma%4ghI}1<&iZ%X(xacbK3OsDgW&}+$BA2yH}O!+WNRclJSIF
zgJG}tDW>4%^XCLk;bVhr09yd$04M}7<-;9L=OCpZ_yEDosH#dFUTLD^^t%uo<HTVC
zGBVO^B+?EAnw^)31%vqA()BwrXZd<mONip*Azs1~tKqsmo>)%a!(=>oo$I0xIBfhL
zIG_&_&;PMLbQUVW(oGZt(95S5#H-&?kf)4EUL*|bI`&nb!M|3lN4<mMBX-}T?~RA&
zkzB#+F6+(&Zx=9KiWF;k4}Fd;EJ+}$;B|Fv3_v=*J~<cL!=S*PR)r<2w`0G=%iIZ7
z0n0PaM*AnX=S4D4ZO@@oc=*XzFm2u{fDxa6BZU+UG`e~HPF2<6_4)7Hk{=#DcDj9Q
zRFaU-&xzmo=GLHD$QB0c9TZ|aUMov-2H>6T@jVjb85NIO44ksd3WmZs+t7^qmL_w8
zv+|2Gvx_NX+44>6ckDcBYIXlUcbQ~N3`E0oJ<i2NU2`jDy<PGA(#?A#5f(2m!|rH!
zWV`bNMA6t1#PV$iP}dw^E{@Pz*e`nXR>w17I&A&3y1ofB-df{~>d`zo)~!u3W8eOh
zD6iOstFG$R7&{Iq5)Y_&kiEPAS+fo7$ZN1*<(4Gck}G(PwRY9cLs-50Fn;rNiM0NU
zi^>xU-kL7dCJWV6Fsz}WxfQ;q?DT)WyRpa|O9$;o-d(>30DZ@7m(DXQTnZ^zL6S&0
zvM6}j!-@x>Yew3UcQ@_^0PH+)@-P5&Z*8@fcUvwvW;pjj@14~e%p*a|0pL_LqO4@~
zmL=tTj-VpS&8~}BlZ)P3kJ<N*uT>P~%K+Zkyd@&57@nU*5(Tf69AEl<{!>d=ZTy*1
z@k)<UrVxKea@L00h87)&w+2L&#j7Tt*3)zRdij*`x)whq<4lzH$?sFWyn&>SDf;TE
zFX*eEdH$u9o3LWX0UW80?L}T*wGjmT+Sk-`x;Zk-kbNAoFG6XSJ3~-qw^JqLTmL>=
z-+Xe}JDcL}fzC8E<IPQb(9qHrxi8G2cUNvlvt<n=q7VazFYDRUo^e!dOSI716uh7L
zjD5Xl0Ky|glvJz35u5EW<P;46psk*|Qj|{_iSjACZEca<gVzcpq29TI!3cKE=yvsG
zy%u<td1cAkZGW8h23Bs7+hh$#oUocMUDL^u$cRY(&ZY2)Lr+AMyL|vW0AR+4JDko#
zO2OMn2y0rY^O$p5uBxhwD@e9~1Mb~eFswmQ6f?c+@M|u&5t4^39BbXXX4tG|%*+Hd
zuwc`o+Mcn+O9&GRCC<L=^eCRTq#T<Lp0pini-w54v2wHA?FSA{KW5A*yzQ{{ymOe1
ztwEc{)8@e|SY@zu!HCiynT1PMZ$;_4ooHwcqO$h<7DWjpTG!+&Tb1uF{jJqF4nRP-
z!*iIWlnBWvcn?<9*b6wc9#$Hu)^Kc}<5v|k{LPlAjUypA2@^cP9-=H9gB60Yd#}Tz
zjqv)2?-b!T&%BnfZ2({}LwIW<Sg<q%IbplZcyIk4yuM)d>f(v{Guz!j3ZG15g#-YE
z!eP|aHR8ZQxd*E;uN&S*9YqrqZ@q{|^V=4VDW<LK!13cTh9T?6d+0=L>0)-%6aYX=
zFqBZC8IPOXYUqj@w|?Q>5-kGk$vh?Z^k7?vf6%*+|H^P!+j+LB^*1eTp&C~y0L(Ey
zN+ZO6&xvX&rHu0u&z!EW3AXCfjl<S8Ka_xD)e}j+Ai6G~Sf11?Z&tXT4H4V4ngWLR
zo831mnJ!PBs5$iB>K)j&!_My<%eRy~;yDc4f~cj@M?A@SEbO+mm=7zY>DX}a1R8^(
zTOFqW0M%#C-kxZ@La>cP=xlw&Np0|8vIe|#*tgAK6c^?%H~#L{CB6Ob;3=fw0b;U+
zmJumOVd3D_Tv^RxP!t7^%$Sc~{^M2r>Y0*N0C0G~0GS7`^lO+=_>JmGKO5gVB=6!k
z|FdS>iFp;<0S29}Z)#e9;JCSu6c*tk99=tSJ`i}XxUk?G1{b;({rDJgaeS#34Y3m4
zD9Z+<mrwZtRy=hUuyDXi3R2XAw|K&>|8}3XWBf0ty&eqfa{wLz0OZ)Hs~W{Lmn(`q
z77F{^*U->{lK-qiUe3jDdz6p6;M6v?VB3*Xwn?hKxeY_}a{fAaaBK~<t|1}#?H($v
zwnf(^6f9Z29Ygba*|>?ckWR;roxzf&8&S4!ZK6dn(m5e``b@oz?m|_lb#`IFz;soy
zkI9#wjDq(N0N^7387FNC1B(?!&h@BR=6x2N0iZlu$<4n+@z+2imWHxQomS4#I1C0}
z_})#;%-)f(we`)R1uM5;`<`Rc^TuARhuS2c18n0>Q8c80ivVl_a2bI60K}7_e+M80
z;EE4mT%Cf>Q1H^&v14xv1OoE{fk1sA5U3qDZrm&R`T1Y!h{kWZ<(6Lg`T4&I1OgR-
zK%hAg2vm(5H|~{j<Hn6fXShhV6HUz#4QR!Ny+3xIa~f$S!ix><R`0r+qM!Wmf1k(E
zGiR}K=Rr$*jI=K4Emnb~q1kG%Bj;qv;f(Gt0C+W-anv=p7F++0r^nj3IcDJW_QJJa
zn6C4NC2vI*(>s1W1CPyKfXb+4z5k^>J;?-Z97&FIg57??FR$9PY0pVH0lcQ^DzPHn
z02oXLd-t9!-+!PIr_MIw$mu#TGiEQTkX1QnSS^$?BuXe_^S*U7Ww~Dr0J^Yi5!UTE
zxC4wuvM^<i49?b|RbhLms@A25o%hZLoT!Z@yt7uWtZhJjOWR+F>5G?MoK+qx6zf|E
zT?4!Ya_eDXc`2Qbo*CG)&%L4G2wx9AKjiY+u9L35h!E!!7J?CSd>F}i(REPHs}w$I
z$jpjZofw!`wgxNTi-puPXoB(kqKmq21f$?Yls@Dfx9%<+lO)fK$4S3@+kQ-Xc`1a2
zOQoth*2Xcbg4gohEPj8hr33r^o`A|odGB#9+PE9Lj#uNznX}k+_~c3e*ndi@YmK%^
zP!#QD=TQKF($+#GT;4OPs@evjmrwZ=DxTT*m+yb0X4DmZ2LJcq{*MnGdimqddeNp$
z!E43#1Nia}9*a^1Bz{t(2KD~~`Gi^DrzlH|-zzunexbgpwSqx^O4yJEnd$!hiAzPE
zr&TjM<=@M}PS-Pspyxp$Ad;crsjF+Mm7X91xA(P<GwE9CBAO&L21JT0$|59jICKu^
zD?b=1^=kUbo#VF3j@#N|wuR)jTKJJk6&=3kA2O)_O6%XZ-}Kq39o@&r9GxmNjTtlM
z%0M9Scz%BVrl`!+5C{a;jT<-aPq*B1OTUijqcaga({mkwvJ+>{F0ZX?T9m2!e@cpC
z;TxrOUUi8GZNV_!Ub_>`O|4-77;U9iBbkEN{lOCvpR8?Y3+n;|5ZJz1wmJ-S@80!M
zdu@Ieuo-q-9=yUY@q%%(qB>7AT7U?B%EF56c;dykV&@b!X^Mv0`lj&buIPRD@Bx=>
z0^CYG^6Tx+@<;?UHMd2lTQ@ji!YlrLq@DO1UhCR_5zgAjX~{dFFkCLj>m*S;Mii$m
z1kTjfzhfL<wr&4X09YbVxY-&Ri|v?*wC8xPjV+1R9-p3`bEV##(G80yyB3t$g#}}X
zRrx(t$fP17Mac~N)AGS|Uw3Z&v#fkPuu!BPyqd%;c&_?gLpdK#OMA+zOkH!!0RVVy
z>3W29-L;k)pP}Z<lxrERmT#hzg7=e+?f^Cd$OUi@fa3VYp#t#Z0?;d-D>`(ucmMtO
z`vZZ%0!2|uiD+tLV`FwkMn)eZDrM&P^7Hd&78MnpbDx1g;0~Y9cZ!*>*EH>$Wo2dE
zGBPp-5YaLsdM6MFym9~i_j~fqd=N00=2{y>ut%4S)z)*;5cfE3wS;1Z%4GVMxwdTE
zdkpi}?uc-xMfqr$0b<Rbq?*XgV6Ce5kSGR;Id|XCR$N%{?O1v5arEqxX`_FLN6`?p
zW+(UZ;C0-j;==q<r%%`a836ViK84qo#w@34X+F=5jbMQn-razgS8aBk(>2|tU=z%2
z-RoE#1z4~T9uy76Q+<EUjt#5cchC#Pxo_)t9!9X8o>Wq=p?1_y^I7x{E)QPAKpj2f
za1-<U(p0^FRsJ2feEu(zk-3i4I<gX<X^c>PoQ!%kH#WB+FmaN3O-_aU^UK#yA37kr
z+}eh9pIuwuQVjqN9(;k;_sbgY?N7JApn?VZ_syB;xEvNj`6ih1Zy0rzE!+FKfB}>)
ztY~+(@pBEOP9cJ^W5-?{2n6;90)fy?H{H~;gPZSELH)c?9rT=p1^8X#cUD&BNqx<f
zQZObRI#Q)|L>Tvp+6Eh!o{4CZN?9MJD>mbWGTZWLGrHIkvw85xGaMe42{vlGPgLW;
zsTwTXx)02Zdw&1iPoG_~CQdf>h_Y_x1K+IdSGCCui6jMJ!h={nqnepq!n{I+vuDjV
z>z(HTK=D{x$ij`s0Ggu-QJvEQ0Z%tJwAgrzt{&L;v@U#R$s2DR`4i)J!}3YryMA#0
zFK8^J*~Yza<){12O;l#utIM%w^FD{ZLXrfI?9>T$jS<Ja({`?2mKhYC(1cu;BLGT*
z?D9@1aa?#6%T>+#&%3C0P=d6E@Ei<JDny={5$0_mEK&HDj2|z(0AHHNg;^j3+upg5
zg>qD}MwNKn$GLCXjnGZ9Z`XpJ-MiY9>3NrAcX*i6#}yxd%=Cz=s(S$Z7l7MGjvSfQ
z*x1-pQIva#=sP~2?^qxZxVPi3sN*qe6orT7<>ZeUdBs;>|Ly-9JALA~I_>>u-kJE=
z3;6Xjuc5h4c@&@@%IezY{OEUY^@@~njmB9gSa!aus?HXrSp3+XPg~FHLis<ymM_9u
zza9X5VRn5p_I1%cq#1>Q6GZedfp7l(KVEzI-wVoPiZVSR2XE4u8x`Sew}LkUULEIT
z-0>9`-uftzShK>+CYRBG0R!w4Ril-IS8csIx3|f&Iq|U<FmHu>8?R}a*`==W9meln
z$Er^HGDX(b6Q?a9e3AD^*Tka?Z2DCHOA9Sc2>>7^<~2&-2a@pMRj{H+!`3G~HyuK8
z2?2GH(Xd&EnKMWA?S5w1fb8Od0|&aFUn1gM2OoYsoU26QQ`O@DFsg6&GXNiwm1$i*
zX&!@qR8!wNc=}sw?s7&08zO1f=2qJ<Dz+U&OIrx9En62el*jQDPT^yZEC3q-3<U6f
z0MCE8!}(y)p$gv0%E~za#t>0KX=&-w6)RR~B_$=Hva+&Q06fUd_ify`@ptFac2r1y
z8NiXo#>T+n#fy&v;F6M(*0Qp)*#I5{P*7P}nb5ngGZ74h^p@5jf~`&3umOE-A&1Us
zIgzraY~3!S++A@CdVmNDfz10+Q{Suu(S#XHx^-&)<qvK)!%WFxb>w#1=on<@G>uc;
z8m{PNt?iMS?#|$%DDOy$0w7QRHz62jo7+&+C|Ns+Tn~sGJ2|UIk*4b^K%N}D0H6z+
zE<5i5{r*ShVAtW~Gg||IkS)|nJg%o-dJEOH4L0vI=W~kXRExY1!r{T&Ez_Tgk`n#W
zobIm!z=oZN;|}4Bg}d4BQ|nuU8lHV?4PLK^D8Y@!$s>+7T~Q-1i#68Q($R0GzV`B#
zBb8XZaW@iS^tFTTH?Pxi4+S%>9e(**SEY()_UUUTmm%@KGXio`T9|zZMq^`(JsYya
zqj&Redw4N$?$+{8I!2Ek?F$3~e^eA@CxAhSSY|s6oh_)JH!iR9wz4TPj}XIqM=PK5
zvjKU%UrP`mkQBV=4w$9Ma{vIFHy?1l?BQ_i5_F4F%xi=U*P0SBa7t<{-LPlhG6&CF
zixz4KNyc7PeHJHc>&KpMXkNej_?hnkKv7YVIXD7Au;17~x)i*sLO67!3IyB<pLUIO
z?7}02mE^qJ&TG=3{VnU_UL&046sxNlv@n2QFc4FYq@|l{8ms(i<F{ZQ=N<|`Nf0Iw
z2#pObwr9cYp3AJ<f(NT=%qwbXvCF5)D0o?yTa}3j&MfqaVeii>WLmH3Y-0=l=V^P8
z(-#J1Hw??m`J(mM+2&Tf`0hr8G>s$eCI5}-@%XL`I6Qc*Mq^fDYm(PpJY8p3KrfJc
zt$BB!;^0jhohdVo8#nGc0DnM4*>q!RY3cr=q9U<k#R_fy{Q28-UB4k(bk^9hV=wQJ
z3;F=DcFX>eOUt)^6<eQd*2^b9CoAJ5{c@gH;8yT@&1qhq|C_fRLX#zb#kGC<*b_r3
zkpxgyIywX0MPna=ujiS8mlzxIUCiG5Mki)X$e%o`@YW?_&6LSn`Q)FPU8)Hcyh#)7
zhyAUdjtDDv97JPV(3RxV@Aq%kL*W8=Of%#mJGsgwxD$H$lpAAZ9nZI`E|$K%2}h4r
z1C7-)GW~v2sl8_F0T=Zj0CdajQfdCNcB(COXYeJLG^MAhmIO4>iF@6&Q=)vzh$nw`
z$Ku$js0XhlvCGiBUNhm#bapByTepA-o)Hncpuu{&?{WaRtZMU8^8`^wyfz7VDQ>5h
zNFm!{i`9Ys!R%x>p1m;QQ<ptywgqL5M==)Vlc%6!@=g+VhbtgPd!qTe+1AC)dyeAE
zcmD-{DPFV<zzF~#z%!X!3Lk591+W$|s)gqenfDX@``-_Iq#cY76FA3=8FM9o?*gbS
zEiGN*JfD$~Q4Bz5=10!KbBdVRn2>(IV#NxV@S|y(p~$@J!`!TtmaRGR?~;``Rompw
z&gwc4nXKO0ycacgFQKZ92T!c2H4?LslGKKooC-Q2l)%GZGCdKWe)a9foyV)NaKmmW
zs(RWwAoXnTRhD7db|P%cWQ8~77h}CFyY;WJ$=gxU>J{rHxLwkto7>bXbm_aRNVt~F
zae0mc@T*Grib1(I*~$~Mbx&xOjWveK<ROF`#VRK6)caN0LUiM7SO@@CMU%%Js+LEX
zI-$Zt;P<>(-VOl&EL)A+|7SYdEFRR(&{1cSHR15!?b;<H699(f_F6ywm(!OQJ{qHS
zPQ-QC=i;miqff)o;q;VpZpTAL8eLYb9vCKe9jI(rx#OUB#&1gr727NT03ZNKL_t*Z
z_k81eGpsL?U73Gl{@p>jRw<q$m>F#$`|A@9+wZ^gyrcDxY}m*LjdA0~4a&;O+6mwX
zMD&w{70v;jDX4b{N(S3QN_E86$gpPlo+KJk2R0lyE;;IrD$`?;Y@yr`k?>e4*I=Be
zkH~qur>+dljFzBHem5gnoH*OqT;)0}{L&0<hYp>>E!Tc((btCLefEj(ef0%b0RoU-
zXEf*HTU1m9V8*P%f|rW#`=-auROA9MQ_UNt<>k_IR+P^;@zTR%>|S9EW{O!<HQmp}
zg#~|~U07f$N3`a!dBgTzmU95WDFE;Zu^v(+Rz}D?V42xQlLG)M#i*gIYmwX0H&KuA
zL!Ovi6jUy}yDDZ=CSts|>kwX8SdNDue+e_+s<521*YkPszZ0+%0Ggs6*GpDxfu`xT
zK>MOH{9dlf76=x04_>Q+*W$rz6_)=n^^I74+qXxv&NQ_AAzpuqV*dn*yp8NB#L&qy
z6Nu=W(VuUXm6f?XHWw{gbP7?vPa?X}dHzC2c+J#}+UhCG<CRgYbPMeMc4SIhQaI5J
zL+lW?n%hDEDMJ)p@8eQ5miMUy@b2lejZvooGG(oS0|&MZ&AX`X1|qFXs4in@ZuT{{
zHmxIV4?;e(GLc(}$e^Ud_EkO8(}Q=*kxI;2z8<YXZGE)iyNIyxGh+sR9vfz!@u~;X
zqw6NcjTmW-y9bW;=!J$J`tcKI@b)`f@Z7I{*a#?P01ym?-}I{Tqwjw0O=kYNuBcZ@
zhi#wnZGER(C-SHat*~l;=lo6feOURF@s2KBYm+9}M)^TjdAwrsPJ@%#YGhU-9J~_n
zYef7-Ej{Ot^7GO9q&$j<m$yyHWtC}W-#fk*kbA`v@M6670U%9@acl3*?fIy}lrYlG
zFsL@R1)-3Bg&`82>eIv^`n$Dk<Z)1@PgA}K&`;E+Y)>kP6h7AYBLM67Y)~&G`uCAX
zhbeefRW$_X=OLMNOG-*Y0OkWgT3Xuo+tc<fx7>0WfII*YLadRMS-g005YbRLMN#gT
zmH9wmWOvPUGtW9H8Vm*6o|C7s$s#ll%ggEW{_Z2DwTX#$CDZj<2X80=G<at(a~!8@
z8pPXM_oJb;4Pi}h9zNhQbMhWFDrQkt*tN)5vyoO9jT<=Y%%DwVld9X=JRP-63tXg0
zxvWSeTSUmJI5h=cA?z7Lt>LvER1q7aov7Db)z3!C#15XVUB_ej+gKN>S5{7&z*bUX
z8~f?g4QOr+$%J<W01lt3!L%jiSg?K<0J|0S!N0tSf*;$Wzn~g~{MP=h=T)T@0CZin
z5TQ^L{;wP7oX$Yydyb&l!q?|YvgT0muH3lCbd}wItg6-Osi%+v0^|h70Q?b-Fq=^0
zRB$@I(tK$VMHE>^W-UVmQ=!o&xy82RNIsw0nWnQSF1*zY<q_@OOrHY;7{PGZ){#oE
z5tT}nT*kYVh+H`Z6GT)&L@zWpHeRXgdRa%e-`RqC$Dl}nED;5&7MqkwwSG?y1+V)x
zE8i=%DS2XjbZrZt?)f!h{(qLfJQcjK6f%DLEXf>g--gHM%FK9v-YOigs@np_SB-C`
zYew2hXW4Ktbjqdq)mlvjFM&-(ZldT$fK1L~#4@Iv_ghUuL&@^o=m0?v25red&jQIQ
z2^q|a&u<n~{B9Q}k<nsKoVNp_OQ>#uPw{78Gw>46xjb2%ZfM4_GiOo0=LkY!%^fjf
z2|bnZ)J88NDGpvQ8U`Z5%JsX-0ASsIdEyoTICv-)NkbrPI&>0~URZ+nHt(}3UTPa7
zd!MTMh-258`X<P*J2!jiUH?1#@29HjP`0Q7J9Zs`PmO$cy4U*){K$DsOJw-~AlNRP
zSdAfy#pT$ls#v&cORT(QJVdO{npp6EL@*<!_MP<B+W-Iyky7v`fzFhf9EfKWi0rB2
zI7WQ5VR^|FBo%hf9(yZ=>Bo^4<#Z6ka(iwca(VA6_n9K0mroh}jZv3fPlUU}e*ZUQ
z^#=_a6eJ>HBstr4vKnjm9mU*Lo03j~Nx)kGnp*2FHa$@p<l2*n^2yJ}X~TB?br*Yi
zOqlqECVT+^D4tmG;;ab;<4VSl4@Dc3-pgURm#jiq>pe8L=L7K?t~%R@#+J6<Z99DO
z|0#-)COaacpD}oX>qIZR96LO(=X;8ea>qY9_YOx%bFx<zG>J7+|AF_P-eWCbMzPx7
z4f`6SrP~Cmh|Huogsj>waTjV*XteWKV_wc_04-p=3jm5L=is%CmpD`20qNT6spa0u
z@*<e|Kwx+Ag#2#0;J6XdEJ-BIz!O9BauP=!Q!Izgcp`nsfb1Bh2Xh;M-&%`Xue+r!
zgdw@TO$w@u>*|<=h`sYhNrh?fr+OY8mY4msH921jpD4KUV0=>0QHweOFa)=F-X$vl
zfQbHIoH8z?rKRN>zx{rHJl94;;dEzv+V4m(N5j(^H6hJ7X)o=4ied}Ha}x?Yyl3pF
zX==gS+iXe86yRN{K%l1S+$G&7l|~qLGI9q+gKN<9*4jh(6xcm@*I7dMov<qP4Cj|c
z8+T*(iI_Y|5^{7!VN)ZnD_u;_Te4*CY72*Ptj3a<r^ZcpNJ9J&j6)#Y%%nO9eqaj;
zv2oEUl;#;m8wcw*?w)zaucxo_IK39Ih3ebhpYkpHajeQ7S=AQQOeMt9HQS#*-PnSi
z7Dcog&El%6O8u+}1vBP6IM&?EShpT!3)iAG6vl$}v1e&04TK>CSmujw{d_9^_WYYM
z&uYh}*ymHBsk&!~0|V5rYSS34O<WAnSDPAJXI56lj~WYU8LoHF#$PDNe85l4U52@D
zR@lB9O&8d_<sjaCYvTe<#JI6C9oms|<+*Ka3ni@tsjF{BShFiwdS~~rX&frH$&x^%
zI2zguMNx*8mX`im7WvT;_y7g<^Tk5*m*TT%ePSNGl#JoP<NK(TBvLzi=B%k;8a0Z-
zATlQ>A=tIyesN(rPMoga++rxvEEBLbA*2w(e3rKFl`+QJUVT$5@*jR`(y#$J%MIhJ
zLKG6D44=PXjagA8wQbIeZ{xkyJ7SeL%rq^R0+eI?4ogC9tstTp=P{cKUUTtK)npWu
z@&uj)p=)7182cNOf#k#dHH)^7gQ{z95bW2_RPYiJ4;nNmIJke0S|SoYAue@|CkcuM
zMIjtKd<x8rd24rI{ek0PW|zTRwQ%s-Xa%f}QA7`&s!L4qn$<Pa<vDF&?xMAOr!6kW
znj{SsF6t=Du-n36Jp0xfl&p^AKC7y!$9xH;!FVEl`>x}M7c5$fGiMsW;NPbCBSuDN
z@?8V73k#;eqI>{=w2UqZJ$TvS!E5!D7IA2U4D{%lxyN~oErSf|y3MoQ=>?hc;7tmh
zDl<i4B!9el^ytwpkG@-Oxuq8niR4ferNa%M7Xqvscp+j69ul~k1g^FeP552RnwY=1
zK0D}}Rha)O#TDM<7&K^5aA<DMoCxP=Vz6MW-Fx)w+xDH<e&A4L;tBwU<YwQzCpY^d
ztHTbnJJDx*;Kc`Spt!K$?^e0Oig;0M!>;I4?eccERi=9Z{QbYK?)TW8|2_2OnGf7{
zKvryMZuX?%dA-~U>lJQq*ddo?A3MC~s7*fYSJl0LNbnuZJZboVUR&%n=urS*QfE5b
zVz=C2{X5dP;4ZdG{szzMRY-hJdw;S^HoSpItIf^sF*Gmx1_01y+!DqZD54Zq6qZt!
zNE7vVLH2C4j*A==EX^~p9RPeP4;hx1BgyR&tsDKHfmr~S%)I}84N5GsbHvrTuL4-C
zvp->ufD}IV_&K7CV(0j8pS#JA20BE+d;9ITcSj^c9f-(t*GxqF0DzfC-hTV-NpAv$
zNG|g)k;(mf+33-uKP;_%WUN^s0q7e5#1hOn=1c2x;L-&<3Beg(P1G?vw%P(vivIK`
zYxu4CTeSIvb7OwCrS%;EP*t*pR~)RWHI?c{Xp(ibjje4cemfSnsOxNz^!dH#-mpjJ
zTG1A^CRtN-061`}21~c>HIEY%*9If>{?r{{%GV(V;r%B}frD9?-Ydn+)?w|w;{foV
z(ses+o;O0*!vHYr!P_<$Pb|2+ctXL_Gz!}`1WewlKEb@%D~vWy$neXJZ%=yQNcCB%
zhq)dK{a3%sdL^~dexqVL!kYfqEqjldv80d8T(ErZs!cZGSXJcNP@Us!jT-6gY#eMW
znwg$%KK6qrPD8MG-z@BSfmMZo_ojPmY)Md2QIVMQ)7#D#7v?XY``W6%OViL=kmhSM
zI5eg4**e2axKLByj3@rN$j-UMz@{w+P<g7RLDgg7dLlWEZo)E)*6&<w{hK{#6u$KR
z#|}iODQs6*!wT*_Q`fu`04Be@3@<OPaMew5@U|cG=g;?c)jNND5Q2KgKv>rMP-0I&
zFGOF#833@aGA673Zps_d^0vB`=nxiBk9Esu@{bpmAn>E7o{)W#)`XnaBx_c2M_)6=
z{03vTK9eJWj8Qx{A+V*kw$bePssWeok@U$R%me^pnpd%IcgcZ+CvoU#e4g~Swh)lj
z*J#Y8;8h|D-ncv$f<%q%ID<r3<KU8I8&SHj0$O^`BbEzG1Xg`9|4dcl!8<yRx8LA_
zm$Z){-T)Drn}Zee%Iv{ct|V)kE>6`oKU{gX5t|OhoUE<aHmfjyP80my5_NgDv01wA
z5dow^=<VR)aZ*euirwIBr5R!Y)HQkJFR~czMfudfAnI9?Ksj&gJe-6F@0EF%{>%Ee
zH6n#z<&dyn*Wt>@D;ErhO=X5KiTGo*7DM`7GRun#8UVP1b9;Oo(b+N+0F;%LZ3OUb
z04-TrS@R1D3i=}|w2m1w=1QN>w*<f$X1<}5*T@eMmWULJ85D;O%-KD3V9ss;hQTrB
z_~3|Qu|lToY-(to0m3~UGF$-A$k@j&pEdE;Wp6H7w?ufk`8z;FJl^3Dqd++!E6Ys3
zi`3yM*5ecoUl7q@#S`*p7Z(=%B5_GC6v=N|`J^^Pp8NX%P*ik-_Su2G<_;gw>t{}d
zb8%t*@3UHiU7ni|C<g!{?{`D9FDj8|pm1+np|q}&O$I*%;Pvq8OE!45eFKqZj7^EN
zV9cIS@Rxp7n^Z4lczdCy#rJw8cfvQQO!Jd#-Q9MVP~9lSN4bOhU$S3T!$h>(*@Xr7
z7Z(=X>{Ld7e(>en^ztcVP(G>MiL6sd;p2i1*@(5Yv}7B<HBFOdg$4j3vMPKMZqf~?
z(QJzVpzHd@Ugem1fbqL)*REN~w%@^s+|$N1eQ53_D<{3U<gas$@HfX)NQ9uL+K5b^
zrcD4aY(P$2t|_B^t8$MBs%_%4EKR;Njja|h01#L8yO9)Ss81JWSjI~$H(_t(X;at~
zp|t5>9BON6J8Z4n8q~04)83N=OddWU=UwCYu)JPh4u-uAz*W_;*QH<1MgNkOVP<Iq
z`kKjQD4%9q2tvBJ#8M9-O~bIfoNpaDZPzs}TfW(4;S7q%#%R&T-4Kk2gkV?3?w3|>
z!jxCue)80zw8uO-cs(AfVo*)2o-AK{H_QzCeTp^w)^js)yrv#czrXp<ip38%6xMA5
z01@^Q#ZgS!lq6AyGpp{DjVNOr0f38pbhU(i@lW;gDb|d#b`M@Pfh-~%*QQ!C*Kh%V
zx>Y;e9;{~f?ry`Vm>k!&D<-Iuk1R<j!kH1F`L*(Gc%$OndH8!@(#^>y=6Zg$4K1@<
zgQ4j7W8dbU-0a@N`{%6v#xJJ)aqL4+;rY_{AcR2KyPIwG&(*s)h0ehTA*gp8EW(N6
zw|qmYb&arabYh>^3^X)1dtxvg%so^U3#j4vx~C9eH_kNHw?1>SvKG~+ZCeJ1)(<@K
zu@~^n%S&;{5*lv(3~HL1jIw*JRaN7ASJ<K8Ra_s@@K5(UF6kW#oq9-+GQ7AjFl*PY
zWBXUWw*y|n_KB*R!3*D97crLg+F^X-{{jGFm~(?l0Eprm@>DVv53q*E6QF}xJ9)AO
zH8l+|LM@%ssTULxd+uS)eIao@sw7~q%%~QqM9|BpTz66TZbi1bj`u}ZRlaF>-sIO-
zZ?)}XocQHU!#p#L1Hk@c)#BA96><eS5p)R`rwo6avl#V_EtUK2lms*VKGnN_g10G9
zxNMfE0iY!)wG+phv^<g)S=K)XCfq)HzOJ+Bac=eCwQ=w|B8>0)&9k`U*E3N3#wwQw
zF9@b<J1dIV(?2`L;q3@3Ax<S(ON7prnGBSbmA#sgk<k}GwGiTHAP^9NKtQOfx(C2}
znx^$zuwcQ8_O^S0BJ$o6k2MY`Y*BWS;!-H-x_UQ&5*=jLA+(RKqHgIEh5G6#&!5A1
zrI__l{tiv}F0IcFMtG6iIVZc?n-Ew?L=Wo3gRRHKn#qsp4LRxB>ZvxvbjYVzBhiY^
zr*Dz$!qhqN^tI9ZRrS@&r+hh?Mkf7iys0FNx8B(!0VDDZ3mAqIDW5+8i1MjZ_3|m-
z1d5WfI_e218mwHrZg?xGWhlO{po)qAM8F*Y;EYOUL1cAY3p4k%Q7y!S#DjOxph3YQ
zmt{+hO+pu@d?)o`7P06QRuVhpq>#eL9UY?JB_dOqnvs#=Y4KrZbE4FBy^B{lCx#Cn
zeiVrCYZB4tWo4on%D-a#Ekxq5l#wGx?i)FB<RRz35hF${zvdcga_b~O3jli6$Xfow
z!qqzrFV&D{7h3xC?)kPsKX5D>-m2?jF8~xj5SR<Xjar-d3X%jfaIo4ca630Du?0vd
zKA|`kz#E9Pq5XSq3ueTGh}xzW2t6j4Jpb^R)5Q}DF7JOyPpi<`004U{Pqz%s%X!!-
zB*qi`t>=8QY%G8W2d|?YqF(~QCEdFuwYZ$DtaVX+q$`n-)dQz$aBW`pG+DrMZBq+o
z{rcO##Ezm65lO9sUOG5N;^Z#vN32a<*G=!`jC6mcrg0!%O<O#Xk-yC90Uq58=sw?l
zV9e^3eUXtdb-gH``jov1`^G_)C!2|JfjKuy76tFH++L-_@^X4sIrt1M6b%-ybn~>0
zub7AdCbBAQV_mXOD5~k<B{*VLudHjp@hFW)eNNb}S+ziTP_KOLip%3#otxW2xZ&Qv
z6+xo-y*=u%+|<+>wuZX@Y5F|;ZH^^5Z))3eLE(cE)H?)<<r`Ila*76vhl-*okB3@A
z((izX_;a7?d)(?Bxa;6atlGF2YquUKa+YW2y8%E^V{6HP9$DL#EZu<h8*LF#0%YI5
zui1J4b4uU0z5D$x>AA@Gy<z`xtlW7BtirZddK;N!Uy)pJoB6;4;pZj<wt$F1adUTJ
z@#{N}R98p8-I5Xk0QK2ze<DGjyR5pqnbbs46u>hHN(6NmhfMk#wkXU5phIzUzdPv;
zWKa})k~L$!J0EZoA^#Lv*7@+ss-=7PoiJ%IbccS~NAA1@fR~3Wd4>foUbQu>$MJH~
z-HKKzUU{<uqaS$kk&rId9y)9~_{FWu%${aha(Modz-<SrYVg)(w?5SZTUMT|9`bu+
zYZsts2KZ$FaM+@tR!Fxfc<s)?&21s<IV^Y5PSb;CqBUj~PA@?#I7QKr5S=YE85lQi
z+?ckuwi5sb>AL>ujEoFlV`HPAh=u{U+2`{e9ye~>=aOmbv!DI!XGe}4IaT)W$}6wD
zsb|j*iC#VmMG1bM1b?Y`!mW$uuib&_vrSmB^T6w70d{lnj=22dBg67?#*fI$HhERz
zd1=OQeoEIwnDgM+Q>M2tA+A9yA&7X^g#2mGPq@|19kZjz_3n+x?R8QC-3XnpDlROL
z(yaMZEiq5dg^WmUl=FIqPUjhWBp@9CfZ=&Li$Ht_RQk;M^kqdn58fn@*WL=VC*1nT
ztipo10MHVS82T7k4FEd(Y?KnC2J}jfO9TK&O3~nn;)w-Yjo(Q)x}+qf6h86j5CyNW
zSWep7+LHRPG)+s|l2lYwB#7ui0AS`vWFAl(H*OpUOU7zNk#pEN(CYE8%_AXKLg?j_
zAJWSwf7?v1W#N4aIk@}M(|yep6&jCL*Wu3J&P37Vl87alh>Ir_ES>Yy+uX#49$>J8
zug?B_t&SFYt6#7Op=YMv)pqeRFVOzIdzv0b920z{?~|V7dejmOOT$tHC4Nt5Pso4L
z&uY)yoSxefm0h!TH)OfE+k}M*f{2OY4_r&ndZV&ZHe`7<PC`BBcqVbbk*vmgvbL$~
zF{4Iy&+c2WcIsZw!2mXj0OP%}MHv}QuX?IdUo++YSN{0j@~}UxS8Z<gb*{!7&*<yd
z4Sv*FL{HBdXSp!@wQ1?+sBADVPnPMIj@Q(i)Es8WHo>Q<Y363Xt0Su#6aFs|@0bjd
z1UU9<WCnb;FfJB^&oT2?Orr?7V~5lHmgz2~;k}^H8G`zV5hHFIIdbGg*}vYsdtaQM
zo*u8dH`wxxsumC4kR{2Qg`;ie1A&&7`d07xl*ks%8q#$9_=%VC@T9qmT}2JAD9Zv>
zaPx@Micm&9F#dXL(izVe+$z@;-u_iH>6s=NTMnPZ@cucrP*gK1TkM)V=hI|7jRd<n
zgKg+)Q@$|}3F)2nVE($Iq8rTph%Yh^$&;W&Q8Ipfh!OSrWq#E-u7Cs>66%}e<^@fU
zJ@=57gjP5Xtn?i5VA#VnMcev*`A+QHAE94xPM1QL8+c{V(?Z|!I(OxOK8w5*FvJW^
zkwo4^6WB<~>&1onpI@<Z+v@;8z&uYCE@O-@-B;*2Xa^_H(1AI-7j4*$`WEjTMuL=Y
zTK}#O1{0)xWl$Vl)MgJJf_s97KyY`rAwcj13ogOkT@r#@aEBKN?rwv-2MF%&?!KL`
zcB{5(fA0K)>7KrQkKA*fW5mt)MR0yujdMK9c4Heibu|H^-BA!1%$jAPDm9Iw9`E{m
zA>L&RYv*OHW@MJ!m=bDn(;+$FS7zpmGo>cVf7I{aZ`@0U5gakm(T%H@Xk>wyjLj6M
zHJ)DvR7F`yiIpmZ4HJ%4`I?1+!SdV9@zMeZ45M!txp!vF<8*pT^ykCVN^$)vRNlW)
zjOG)ouT<871?L;{&D7{0-LlayYwIRQW@h|P@IOD}co~`A80$;xUQZY#-kjG6j(Dx6
z#v?4!N#7a5TyS=>?t(kE&y7~XiKG31|8RZDgNZtWwyskIO7vW)vVUhuHE*HvT)NPG
z%t?X(-G}in)O213N-h$!<oo=LJP$*n-B{7b7tZjvLOD^t#T-JrzWp-myo_%1Hj;T4
z5cQ6K(0|5a<RVTuq#w@$Px6d{J~pSO=8_tU6N+YGY5Ab&<KtrsG`u`NJb|f<cf;D^
z&=0Tl9UZGprGI`$C+0?5sxas>O?%<CS>!d@QK+xHNYkHF(RP=7v84-krx3s|5x~rV
z?hP^x&^qNhp$n^ePx^Ep>%=B(^RNtNmT?Gf%e)%X^4cOM*8R=6G^^DTM!=%EvyNl(
zhfD7AB3=Mfy2Umgp|j%q9&X=MZQ$wRw0Ga>1Kmq>!d&eRk;{=V(y!DRK8aWJd~O@j
z_K+mU8+2=1=A~VJW<d+O0k>0j>e5x~A!(W*ju^eq!`0}i%rkBu6NJLX%Hwzs!uJ=R
zhS8zykh$rxnQ~$)D#4$}7gtju$Qm5=s5=dDcH-~)R#yY2{CTEB^W&^`ZRMNL1B<wV
zMouQYz#;XJicA$bd#-f|(st63)1IMkE3>X)Pmi~UwasYL8oWpH@~P6|N($5IP(xtU
zLhs%C&{3?vbTQiBiVpSKe4g&VnS9_PZR#LE)C`;QpV{Htp~6se)~j;-9GdVMB3i-H
z+c7k}7HZ1vwYJZoFc(^tn9VYsxT5H}Wo*a_MhU)f+SR->d8Ah+zCM;QfrhS8GSR({
z&!z|7l_9eLm*xAyY~q;8tRuW1D4dq0d=ZSW-zC^DWSC<3UYW(<zdk8rk&k5%3ps|Y
zb+{Q7m)VN<JR2#+$W<W$8f>L9iiCM$(3!(3W_yQ50zkhzH!%ZAiC(~Uk}#;`^7AP@
z>UYM!cp@(k+CWmrfAzVflJQj@9;5Zn!D5<sanz?8U#_^m5UjWk?Y!)n`^&CEm_c+H
zPOItngZzG?uC;ZB^)936Dste>*w@$4xYxC|B79mw(~4R`S2yFY*-z}pN|=L~rea4~
zkHa4wen<}b^I!`D$stK|(pA?%X4#6w1T4CXz^V)w!0L}>|N3WoTCM2dUUaTar`bhb
z$VZU5^fm}CRXtbVRyGuIOo+&>nCtLFS=;U41U87L*x($UZRQ<D-k<pg(iI*RI)DyZ
z)`*%te{<89)dg6KD^{ufQ>Srdpn5(v`Z_0vmf_g1P@u5?a;K=tCXXcB_L)+Hm3{=<
zQ`7Adjw=F-c>!I%avHplk5@+v;&`#fnU7#rao4$rx4VXJWWD_tIDAd7j3r)ayh_dn
zUrhC%HmG!76Mx=?^gsIemXby6-#k2Jm}tvSGPA>W!GDP(mcVPPsa>CfDHJb-w1ZK}
z?w%A_{e>kZf(ZKGvuV{)-rWNY=%UW1#&Whij4(xb;rNT?sy-U^HBUWwph6Pfl9@Q!
zVjWRAt4-{*tuuwa+_Gtma6-ZqSZx~He6kv!*WpRk5rEMLVUY2nx0?ZfrqtH9Fo-68
zo-V9}BN(x(1UNX0dZgHr_#pyHI-b+`^BjUKp2&WrB57(a#d6x;#FDo)2T9by32FZw
zB3(5F0f4LCa-TzBE9$nM&9cL(34m2`CI<n2t`pkr*3Ffb=)kY%uV0auZV6%`trB)i
z;mpXBiSLn3*M2OP{F=9V^)n*--F?v2`ANg`eC8w5-gIyY6aBYjEj6KdUMs0Hw)M%^
zWhYvVrKrL5%jiP+U?2g%mu#gISReXmU4e+rZ~H#2-fg{f4E}Web1VZ|zkn15pNn5n
z5#aL<hOgnEvB%7K{^?T(*vd=jhsU8%I7<P?#Rim9%H?>qKZff5|KtL6_)n&$raokL
zDM3_gk{KdF!8FmfS1#>0*<9)FrQhotJhC`<lfsj=+H1#Z4cfdaN#ZVtJujhqdbC^1
z#f?|$OTT1j@sO7`7M6G|=mRgm!r^o{CX0YewSZOysY6fB5A>BLgSevOdJq}tcak$)
z7m^VZs%Q$Km~Rm{^lmx2ZCb35_Dkty9K&4=uDcqH@Y;mh`Ou&(lb7jY`OLg(f+YeC
zT3aikl++_G<P<Q88Bc>1Px6ij>>6`6I9~vGq}%kINiV-ydiVPk%~}gYF@WyD_=5)0
z0h+SHe`i3cV+LlBp=XKf^ieN}Y;-b7jXf$XD>|V@5z*X837m44o44959~a9t9T;ka
z!_ghI6am+S7q|H8yFyW);L}e#LnD$d{Zp670=75|GmeH$!wE=F9w~tpDb6>)a~)^m
zHF2rm23h$kg@Q86uVpegHr5u$*V)DRQ)5FlGFXlE!WI$^rp)Vri4=k}d87g^oDj2f
z-Xj@Brw-B1j)Q<iGP2lTKlJ})T6V+l@cfPvO0pEu)l#+1%q)W&XbjGz$tG#uSWq=T
z+x!n>_#h3t7L)(X*e45(C}!p%4YxxlEq+fXD^VPk4*KUE>azRA_7pPQ_m9BW;k4JH
zZ>I~3_9;w|u&tTdXwl|F0$vl^0H;E8jsKGJDJikW!@$%!Q$K_s<<F+nU~QUG%PNa%
zonv%FrFS3sHFYb?+ffYSBqNUl8$KLtdWp!Xo`H^qQmwp3ciGp@2G<&;?A4q)mbGf}
zv8%}<M2Z}1V}N38TvxU1%k_tB@mCxVCv+ZUWB5x)HcFLuoQlXwC;-|hC%;znhFxn3
zCSB6WcN`f_HSMG}l6Hp|XOX4^(Ur+HM|blg{ypZ8Vqu|W4HfP3@>q=@nz0TVwD`~L
z;^UiDK4)B#FjO*>yh-qU+@R6r#$?uj5$u`!khqr?9IeTeYvItyfNch?zao)6FhQyP
zWJ|3O_l{(^j{TTtb45ik<ye>*SxcuvaV8ymb%~PKMb4Gba%+>FLUu*ewe2O%EHBg1
zEOz?);QaVp#{Q*2_TCa0E8!!epklv|i7vo%;yJ0_kEM6}(g6IkOM4@Tg{tYgwAvL=
zT5PXyt~5>v#b^Ukda;{hab2j1WwLofU)y>w-ZFWTccF%%BP-}{<}-KQ!;dc-kH7kC
z%neThb*g$txz>D~g^PCS_mCP)J!*H!CCKwoO0JOVTbPKsC*ity+uyb_-ymL|)QTG&
z7=bBs-9ob+gIM3oH2u0$Ad&(p9!1m(j9s%1<cOBMrg2X+$hwt#pT}XCE5xg+8Z@&L
z?_2CLut9v1P9|brcN7^PhXO^fV615bT8-#vqk!{lLBsQbjKEGT%9a@?E)_>@)0K1S
zuYzDadF5*xu|eDRvQcAv!p=|qd$zTihXF;L*E6}d@f$WDjb}L<tiED@gf}cMcKgYk
zQ^|EUq%OEN?Rt``du^$c6%Ujw2NgSI35MonNc|<_(o_5+w<uZAB2y$BvTKzb63ooL
zEep=lQoOU6XfaEf#usg-WMFan#S~p*R{lj9bq9T4nr~HH!h*vGBiMsyNGL59dJ`Uw
zdz|C6>oqS2T6M(y7VmqZoP<Eq*AxUMk7Ez;l!P6sZhML1z4{8mE??$FXlN<_E|Ngy
zBdl!Sy?SpYuh<asMUdCr^JbvRohaH+{ZF*vnx(3iAYzKz$Qz5dnVR})2G2S4bm|0(
zw5$>muUa#Ndot0xaik%D#Gd=@Z|zsT1TV_P;!(5&n$9aPEhLI}1`=o8TA3^vzg|MG
zG#b3lKa_f%D=G^QY(;Ff(hO(W{pia&)lfH7?aKt6RA*BVueLQ2#`<NQG35MbmARw3
z-rc$K#tdK0I$V+}Q&=ZzgNE`(NwgmJI#jOXV5GzHj&wiTTh-Y3s0;dSFbYRujyJf#
zy7i*?4RFB{w6nz+s?IMH#g|ia)RZ(QUT2$7$>3%^Mzt?Vq*}38Ohc%J3(?(lqLu|d
z5RtJpcTjP~uxaqR3+0UdGU#q}p}f%$#F@^ugXk~A+^>R7q$5%HKNl47qqMuf;Ta>Q
zrfzCA8Pow&3UPjGO$T!Nk|2scx+>nUp#-0|NU=JaBP#smCPH)uxHT!YruUNie4FvC
zf4I9lk(Ajzm6VzD(|^!vOvn~|zKy76l#B`J$=CP8S@Ex*iM-7^Xzv=a7JI5SK7eHF
zoIS)y^af!zP|CxQ+6}^7ox^;N*Q!zd?(g${$BALk*j2xr?iadhD7q<gy3N(##Sn9T
z{oWo*DX%AV#}%hogy?7BJ}2_HenZ|fKB)PNITvdW%b?|WJxr3d#9&}ssKCO4*3M~t
zU)}a<!8|MYWxl+~liZXKUU%@}w^(=ehwYcE##i4Rs(cm^zJm$1)VSh@!%7O3G=GV#
z_tPY7MZ|Vhl4Vp?zt}VUJmnO`8JFy}1?wDq24Ku8tgZ0tiI+Z8>@=Zx{Mcys8t$4^
zBdg(U8e<_;Ei6R0?*J47MbuRB&u&cTnRZ7vfm_CHkWT2X*A%i)0p8~ZFxZg-PsuJm
z(}o!WxAFXNasz++vBs(sOOysItmp%?{xw0&>DpHsN}R3RN{B#fqw(vTSOa6yFHLbr
zbG-MvS@+_nS&Fi>PBeZFZ86U^){K-UBQ_W=Mm=4Y)B?NbhxYOBi;*INGt;qVk;5je
z%$6mckuWhNtKvrtR$oa5e|j*kPS%$)=#h1Mx_QJ;Wd%WQze{~_2y~`9x9J13yvpdS
z%xyfk5DCr4zN|J8XY5tY-Pq$;2w8MuizA4Jf<T9-Vg1j~&1HR5o;YTSh?CQk>)C+;
zQHw%%qr`1y4phy&#v42zfr^`cIyB-x2QtNQQ}EZ8uRR=3*?-E1%<FI_ll`PQcsmcK
zVF<li4d2P?)%~ia=P`EO*rS`8TCFg3wYFFK$oI>iz<*B|7<wF;d!760!$i{uH(%?O
z_GaK$a<s|0Lq3Tc3$Hd-?+EznU#|3rsaMA|&f@NT_*UkMg{NqkXG({gW1I+v!}T@b
zMQecsXWQ4UsDPCWyBQY+n~{Fa%LavkDoL;RMyBuSw2?Vw5|^j=bLpsKXxA+}Bg>B7
zzlz{Bc!y=X1Vm8}$B(1I2I`Nr3a)4PFluW1ogolWifwZ_S-DrwFux_&=_}u;+kzyV
z62psr!C6iP{>$sZgC%Cp(aTIHm;upz=1-$tGU{iBx^`Uh!iC7?>dqaPziLPa7-gV~
z1mSKau~h6mvFhAn*{U>1CyN8%=54-#onPAsh~!dz&r5m3eY5&bXDnH0ZCXzY_gr$H
z`nbN8`n$C_95H6Aw6LZWTTBnOZd8rLYXCST{umx);oyjK-kA5Nk$v({mP9d-7BNk_
zrK*5p?|r#*>~@JpZoF%m_o$^Obfw^>5jdsD8n|`M2-&5fpf<p1i-PO#<P-5U?C5kf
zHv-EL9l_+w%SC_06Q{*~;WxX?Z%=;wcM!O_jVCZBi8H??7nMlD8h|G(v&)Kj@_2XQ
z3g<>DY6F&OneE(t$yZnkkj{?p8yXzcW==Ee4d25>L8#l=*(q<^%S-j(A9I9$cd`dB
zw)^^$uaJI^=*LNUe);o}70bjeumDQ~fDr<3Q?sj#EL}R~gQJ`ZIcX3YZd-p89UxtK
zn``Kf5|$s&ED`L};5ApQUv{(pnP6`}R-I5Nr+*W;v$ZHB$g-op#`T3qcbVluVWUA;
zcnYsBd6O&$4ddw~{7$3#3b4D6>E@I=$V=~RGSA0Ja1^~TZfe*Pk1<oAx!yE+>9}_t
z3unHmtG9*!M#%X-HH4QvFS{G2b;UJT?nV$Nnzy3(`t`*Rjs=PFRRgDA`aA%uLH$ud
zwudfNw2m@|-D-PXMV@wdyUv1w3Rv900Bv&Z{BAb1Ddv4}t)Uoh$$ZkXRaET3#lB!}
z6Nui=OqP&%an<2Jkp6e`$y(GS>NeSkDb&72Z%V!6@#x1vxpxQeHb?opy@zyhnw;v0
z)O3XD8M#IYhD<}*rVgtWT<!FkdQ^LgZ=)yQI6lKP!0M^1f3>l1twpYVTx%7qq7e$k
z_3M1TUcq6FK`Ld<8M<na`*_4mlqg-iEvrs&g6W&<gy$A(wE}q%1L<+h$8qT4L5D?^
zZjj~$9X}S=L2&RtQDK@B{;v_W4^iSM_N6mPMEV$aau&g~iFyyevLad@qN*!PDD83P
zBLt$-0KYBEqtQWnRu$wjmjoI&s;?If#mdJ%gfO%jB=OP-NuA{|yEb(^8hfSj%;#?j
zQ6H*mFGXWKQW||;4zg^e2b^*F0@Dl3z1*LkjqHc|MXj<v|Dw9Ngp<Gq{!nY&=)gt2
zO-OyB1ki}>#<Q~E9r8ZKR^+XUn-0p2+ddGEi@dNjA<fxsMDVyEo?h%`iU^m7$-F~+
z6&xJ2Wh^4ZSif_PX$;8SQFs-1&F6d*H~zfKh(^L&VLjV^$hAW{5F?J72{@r3mqX+y
zTMsVo2-q)vJU%{ZeGDf$TMor%h$|^6sT>w0Zh!se&6~EwDOJ@g1;9V~jZd4epx+y^
zr8qE#{-MHbJevt%H5pD?E-HEsOzy)SH{Bk~TzO8nF*Ur}gum_dzrnt+*`YHrBo7fa
zvfPcn8FF1l1T>U4=>)OXxRIV_xSpzW$p({OQ9%OcKJ6f7GV9LZ8Pf+_Emllre&2Qf
z`}u^VN~EtVO=R(@P7aPDi&b{hX{u;#Q5jE9%!Ldk*BQ5!yLnM(25-gub+D3>hWpv`
zZTdmx%Oq(=kM)04UhEt3N_bOM_AEG}KQW_)#NC;mj=%q>C=iuj8(6C!ch<m#CvuSN
zNGpSXJ{}>yb7EX`%5jZraGe&3(D*Y}IdlIjX8Y>=vkgpG9&`D6i@UnxfR7I9!xAa2
z5$Am)bS_wTA^<7z`qbx)`4$Zy2Sc}mwfF1i?1T1VArHaxuQ{HXivvsn3f)O;M)zP8
zF+6zwN5^V}YyxAY@ou_^@AD{F`^oQTyScLy#mvN1>uy4Y^OwbpHk(gD7hC$PHW<CY
zKU#^v97b{s;X0@(`?g#hx=q-fq8nCW68h&m7}04tey3%!&GNLW47)1NbPf?Q8$}++
zth&te?O`z`b;KFRF;FR>2RefiM;62M)LH4T$-2DtNY~IpjEQ2={hN{fY2I>7N&spZ
zvNv7#m*(6tNgq0+UY;lJZQi^|RGpfg`Kxq?N4G*N)rt*<(R3znCNlI`BWd1XbC8Qd
z09FS38wP92-<IOq52FHFty#3RQxIs~$13%9>kj>2+l9^_4Bx-g)tbeQ7q_!NHR0Ol
zibxiw_++~}UT{MPfITf*eoA-iz~gc=Zr;d!%>DM~D>NsPImxUsijx0}2|WXYCo>jG
z__ys&&<CXkYcr9-ip)Mhe>jQFUqzJ(@&~c~1pH=se^XZeT>vJ@znlQ_YogE6??Ba!
z=2Y;*^=!STBOAoM|ILLZXfNlsnyuhvV30+wz-!+Hi?HHPXWv++aL?>q2mut*&~m=9
zC=xyguwpp1mFnkhWKoeLSTQOJjEpl@II^@{PUsD%@l{X8`R>4bkEodPg2_016w3lR
zr*&Po<(-tO>L;NY7jY(m+uOquX>v&+ynaquRfcnYm}G7PbS7%)(-q@>HmVv`oEU_!
zRDzdLim0w;z6F0UXJ%E!uQN>lS<<U!<6MAqqn067KkVdn7wYqQ%$~w9w~lH?(^Gd^
zvX>I;7^nc+8=yU^J*AIwNGTIn)jDz8Vs<EI@=IM!A|wNF(@Z7xJNz*d85oU>4@7=a
z3**d5(1#tm53$^xZU%T!i!4GZsblY*qGCT;)f?<!SHt;j0mqOICY9**Z2xcXRJz3G
z^Yidv<eV{V!WmKj`Mmo+m$6H)oqmzhrXC@~AcmmzGhFVDU}9560H8pSGubawbDnun
z<lK+uV`0`@=)5(2dA2XL0a3Mh$gW$5&C%bt-kVQ4m07kA8*2h6lw`($ES(1eV{iRG
z9q#c^Ty7G-=;KKg5HoS)*ZIjA7V>4XU16*2wVVjz85KZL0SDMJEi{}m<OF%YtM@Jc
z-PakeDIt=|x=uT6IO<<-jij#{=((gm(A=wl8bJ7Fki@hQ>=5NmGThlHr*J=aJKdc5
z)hR?o=Vnu+rNQ!E7<g(K_3v(^W~aoST%o7j<NEX4OnMDAo(v`oF*7ivf>YI5B~k1#
z{SZNpn*<QBkMy_in#y)qG;4N)e;@b3F+vS7Bk(>;<3Nw7k3e)D@AIu4SP!V%j)rbg
z?^o+~w!Q%%QJc9sU#>{K{V_Gh@H=9L-2*D_DM3GUAyr?!giyx(8#OjA%d)8qa{ikX
z+D#ml(F%?dnNA1z1G76qEgyDNY=ks9GTXIE`odnnUT${%IL9%3sZg^L^s0eLd+OpS
z@^Iz#T&-nSpQm0igcksy!^7=?@O{c|8~seLiimHm1)6Jxs=;F7#N$-8I+{glOXBQK
zW5JddMb(M<IX#3Ek@4A1*ei}h?W<(xL<`M&>EC9j*)FthAu;wJuLIY^a5WZusJXEL
z>Y~+%$f4*%WVEJ0=@au)@;>XRLTQ(@cZ!!rDzT)0Q#r`hnvqtf=q5)HKmACb!lTTz
zH}w{lP>)5$mnAUji)@im#xoLPH=VDkso58$pa4x|VLeUFCK)x6S7P@tgsazRbvN#R
zX;E$YJWMEwCV|O*Gx3znKQW7w$#`<gs`AhlpIF&X;-v8}^gb-gH}W0B_5+IC!;ebt
z^!RJmf>eL1W4g*x)xmg{VM>mh5fFj3iVec?qYIwZZidfaZWJ=fl}|t7p1tbuy0*ea
zLu8?ehL5Ga*1^T1G5?RGgqEzy(cDm|`G@)pdFqq?cLsCa;#l<znZ#0*F%iKJWk0w%
zm|D1(@8)pN)mH>^E(w3cxg15jN?>dwTO1|BXOWf)jiTq5H33H`|G1URb|9Cc6}<`)
z3d9o@t_W!7|L;!AAH}8N6E(;t(ranIQX+&A1bOTi#Q>9RT3TV3L9`t>f&46D1hph{
zlJ>+=FA6MmCDQ1HgUyz4C5azD9V7Y5{$RV3V7Eef+9<IJwHn$%BTx>B^$l>^L#_jn
zcPe@?1TzyGUgk`jFH1|pO}rG7Xon+s&+Z*~VN1bo1Qi&7j|Y`KXT3#^Sp}y*Rj<t}
z8m@{Bjz1!#xjSYUK?~{Mj?%Dk;Dj54n7)r%W>oD(<B?fDUas5K==1rNR}5y7O_V1}
zRnc903b0%t`Sk{L-eUm%BVAfABA%{fD<9o=Fdr|{qpf;E9AmnSVt?A<SEc1?(K4b7
z#mq<I{l}GCbEz*&D|KSz`J6(wuykCvVAI$n>X(pE*MLa5Wwsk%C;A^JofQ0Ud0dLh
z!(TtC8qNxnPfjogLJVcABBMXXh@8v}u|x@SM753$Yv_$|aEx7yNO1qUKeLZkmik3M
zyjH(T3TxD=HW~2%?sQPZu4yLjG71u3Nj|d6D=ZAiELnSKN<{VsM(GO_o1VzJyvv~k
z51GJx36-=sZ!|Q;Bt)I>0)}QA5xz*j&JCs6-^-J~yf0k$#zN;l%5b<9w>i(MY%@LN
zc1Dy7hN+V1)HyF-)+q8pfX5v2E!K(4pHwMDE5@XQ+jei*Eu)sz+3zuyA9oWWcN5VL
zk|#iGyd&L!_h+Ky=2~74A*Zc-U8rsaI!9acLWqM?ZyH}vhL8P<F_yqa10ocf+m5vC
zppRBayi+;g{Wg!%g2+{y@a+ZLtnz0r&FS9OV))iryxxLw#<2Bq;uqb}`o^Oa%gDv_
z?0&lzZZ0;G8DyelQ__o)qa<5Sv>hS1r}9mAVUB~|u{bX59zuiuHGzzn2i%Ogl}w3)
zh`jwW7Ei^+D&id-a_o+^=QsHGV&A<KNoew!Nk2*^a9WEvT+D+LR`^|e*KwPg^D~$J
z{CcJm>rO0tlVfw*?t3{Ucl5YIE?o0!?pl>LFp@+{M$)T`M|^&t1c4RtSK7(v_k;Ra
zqD&6ftMcQFYDT-!#aN-afH3#t1Zz6c;q6YhK4ahX8YNCX`&+kYlV7#BjPIxLtA1~J
z_q5^jV=|O$U3&v7iqEMAWOJmhLFBz{y5}q+e(&q^7$j7NIkrbMF!i63Y<F*^ZWvN8
zNu?+(fo>Lr`*1vTm=ro?US*ScVN<W@Q8%{h>07=fn$+nx7ba!5L)S}~vw3$^exAMB
z?^@pX$znvm!eUw#3JF!TNBI$QDzMOk5l|E)PW{F8DSs?=T)EROIC#Pk-j<KmD>SXQ
z`fV;|`_ESo2OKVLJHK1IOs(jUz6uzPrb$Sn{gjaDt{3U!>J{9}P&zp2*?4JQfIKgF
zJq2Y1?5};ifAi%7Iq&|_cUOjr3D(W9IoRFN4AaBB@&U~ijo0bwE55Wy6R!$BVhdXs
zU)*C*{EY6S@6pYYt5lzH;?~{RJ7Iu9#aU9=QtyKye7_fRu>Xpv9dn>my==_x{hG_;
z1$v*c_eSYacvFFX@O|LIIM|G$7Nvd0N=qcpI0QOJ1gBJ-q6KeT#QatzYCqA#=3KDL
z#jxuMyQiwjzn)WvlfvHl6Pojup(S?iiyVRc)Rf#APsX4-){dngjP7pi${F`~?|>Kv
zg+9|Hu6MVSwVm{<PfB>h^BOI)os7U@OkT|Vab;`$F>Prae|YoZ_-DN0{6dJ{BHv7-
z__cC9JC4vf=<$2bbv&<34kp2FCc&`J{+PhEqJZP`-$#~9>ZlwFa~2YkWwq?v>`<7o
z-Pq;I)>8(QT0aRsqWveG>!T%W*J=Q?F?#r@845M_M~7|c>q}1xWn@IWds$_}O_#w{
z_)7ccVH)>0tc!-&*fC#~u5i<*s64xo`*a(sVl+S#LfCT6HAXYm_B3xS@?*c{SC<aw
zrnf?43t!Mv*<83pX0za1*9Qm!2I)RBUahNk^WhNB;q1i+;AP#%Np$JYb2-Vm;sW08
zj9#9OG@9P@i#U6e7=!z2u>^7J1yvQ1R}?J|dlK)l!~V&<%#=tG(ZC8rq=gfw(X+-d
z;fr2UN)`MHwxn2V(Vu$p(=W8k(Xv*JN?qwB`IO{uxKI+qI8`Om%u<WAIe6JvElx$^
zC|p<Ub#~bR+voPu;>h_-TRpGmdE%2WxxTJ?GU;lIPuK0MI+OVdk0^d$s&!=?h<g6(
zB}*@aA_s}M5RRr?VP3$9aeNh=kx!yc#+@RX0oE+r(}E*x$8Y(`K93z~>CTHaX>|wE
zQdb?Rf8kq8TUUN-K40GTd7-z@d>(mEPgAesI48C_PROJD(Q27G8@1z~f=WVM%5{n~
zzJepF&f!<4DM!++NB&xj7t^<7B+)Bs<Be-dW@hGwa9QJ@5^N6Rr~f#RbFzvz?>Kj2
zeBRSXVC`cwB&(I-;UNIL0{n<R*B~W!>onb%YD*ioZsr?supERp`723IhwOVoHkVsa
zmDQY304hoNa&fMuHrM@BJ8EnA6Tg+n<dBVp4B=~1SY^bDH{Q{a@JbmUA?@EQBwfVi
z_kXrp{ql}+1*ArEczk9e942JA`sYc>VQx%*PC8>G=3N}J9MARddy{cEFcxpurXk_8
zFJI@J7XBP!)(C}ZzjbqblQ(@9A)I7sDAMlt;t;T$@wn5GrBU=TyQ%v`B6-<lJ*zdR
z{$_(mIBZ7Gx01B005aFB6!)~v`>ShgiO6A7e81QB29n9rtA&G&jjbGA`MsWmNJ2AI
zC#!LBD+c<@N1u>i(@{dANQz$yJ36X({{<!7_P1XDR|Kv$%Yx^FXc7LHMU4jE<I9Kq
zwwjaX$Q;by4Af@=JF(D#(k$K-xBB$P)~M9u`_-N?j1_N0ieI-!duLkj1IvG5XpHi@
z+<PmwHQd<7UXhPA5#WuF2WCDKO-cHHYry^VWl^c<S~+Tn+#C7iKT>~@i~~bD+ZXw)
zoUY!3vg!+8fVzcahtv@h^`NijH)o$Vql|x$`6#^K_Qx!8WV`$H8Ak7>KVjjhawH1c
z*$ot7s#PyGIUtSYo%pT-e+MwD_7AwNC*a-5eV|7Aa4VHpA9D90VqX0^hbL-(u#e+M
z8=R=q7^HpRPdx`Vwiq<`&)M&g;7{K{fo?y0t?lK+LMkJKBFoJXImGfpnR53$Plb9%
zlSz7Eyg=)5zxZZl8SE-k+DGcDT_gp1qNc;?SIB@V>6LIG$rbCFBqbX_K7jSru-kT^
z&~`+7j%|m3()PHz=hlR6g+>b3@0N5|*N2+;^6omNlF^p3ZtA<eQ%#7GMfF28HYtJa
zYCN6}X8|nDCRZgrw6~j&J+x-Mz{cOJ7T1uC=2^5895Q`)5lZJm*R-z6rSj?Q<6X=m
zQXa$BBo9M*%k2W-XZe~%Hgb_VY}SZJD5mG_oL7Aa<g|lrl5DK&FoGw)SszuDrpM@S
zI67>}@maYS8Hb{_vV8H;f5qG5h&<za_*+x4Hnjdkc62K#C}&0if#5U>wz5ovuPoZu
zsNPSl*w23ik-x^4r1BMq(N{GQ69S`YJVrwzOi52F%v+`wi_T%9I8o92-Px_<xb;p8
zQOj;zWOpm2lHQqz-GC^U4{~_{0p|~cj_1>KX0~vic{>FX$FFo9@nqTK>!oGjd4`Le
zzNh98Gf!;IOM{w5U<ET?h>pK1Se%~p-TWja!I*GWX)~+P+qc#irhT$1+2c~~)S!6r
zP^IlNEZ}z3(P3mYnHJP%JIqUTG`oom{6~3XqG_>K%`xP$kjZ8`niY@v2+{GBTIulY
zg(Wk55D>y0<+bTG((RFgswm)XjpLJIZ%G1a;kWYkn3T_(XQJyjERaWHzZo}z^dUE7
z+i&DvU;a-n0AFy3a!O6Ko`eG#O}uIcYq%nBBnPqGbLLDXNnYUQ#KI4<J(>#c1!u27
z$8|p=f~&|C$^&H90W5T00E*V!uSgR`cir#mdteSglXH)<*J|!K>V&V>mu-my&xZTm
z70~jpF427~&k<gXX5EJBh$@bDsU!EJ2wOwo+0c4cC=(>$PgXbTg*OCl?rrH#`>bXP
zKgBpQPjgNhkFdJDB+jF!_Qb6iYbr=);7oB)u<y^37*AT4p~3K8|Ml%(nYrl7Te^C4
z!no|PpAkB@EX~%hPsc2Z3#tr!WhOrc!0S~z4DW&%N5mHCG!yW_T*UzzBMMbaX4|ze
zyx@@zVNHD_AqCrWl3lk}t1U+<tFi#|C4Xd2!TUxXXo5sz#te&~%XD33BE6+I@WI^h
z7gs=^>*=<5_!)oRJ9lZ7W7Y9V#43lsFgL<?<chV+H)T5ai6;=*&%^r&e}b`B*ghQE
z2KRh8f(OtrGJXvq$M%vn-^KDV>cyjN&g#T;zEL2|i)|d6b#PeVnn8nT@Ju_f^_icA
zonib%TN0kGvT1yHBD{j{pFKqbNRN)nynek_shxEN3RDy#sVL9=3cCB2KV*M8Ujc;U
zl7xX(51>t2j=@g`oWFf41oXXIKEB{wcfC*>zS)kRm6YJCsNNST(^qhL`kSj^?{(dw
z6=^m3hRn=Tk$Wg?x52aKE6L7hfCV+20mt|4aE%uqw*QNziU)G!-b<drZX>eErSEJy
zj&lP;V9r}NMIrp4X0zRc;xvIzLjnAJx>oV;GreCpZSOzMz@N|ZU6{J0v)T5#;`slL
zPlQ8GVW8V4rOY1w`Mv~OwL$_=fU{#+cirI+<~h9v+)&!Zfo7Z`Zn)cQWVWV2*V9Ov
zyOj<t9~#AtsjhmP`mvT{m4f6tz2R>~M6M6a*SAcV@JS+%n%}>N-l^reh?F-g7dmUZ
zB%`m|-+YQA0#G8!YUH75`MQg*f!XC@ttrQZ4GPO(S9N#*xtbJ+L#3L}!^ra>{m2ac
zJ##=541Pj4jrzSDwaNVy;cjKtuaL1%66-1dojX>rtrOmxz)ZYmUokNobXfL10nu$-
z@Y$4M57gc5Fkz=kce+wtbeJ2vF)J85o=bvNiLMI)L&#(3%eFhuB0_(TZlAb{-#g$B
z+6vn|LxJL~L$s9dZ5KKWQg4*?_xN_T$8w2LG3>$DAsN`g6mpo%qijXSR_?+5t}@t&
zfE~eZQm+SOd`igxg_>TX=T&|K$iHNNeGc<n37&Mq7m>a;KQ)E<BCe`Sh6a9GjXYrS
z#wfbNziKEL`r9Fj7~x%f-J2@Rd2I;Yk~0cv?d0(8qir6eq7!q?4`6jT!E9qW6F3m#
zHh-+(S^f+8uj_y}ICwC<Xp^&_3p+jllg6hiTJX>1I~B7HW~DSFU2{uIEi0nlT7Vf&
zzj)uHi`51-sOyas>F7sG%LAD_b6sjmS(Pg)fZMOMsA<0LDE?r&bb(9l&4%i-e~Gd&
zaUW<(0ps66y`Mv`@)w2xFflQ4Jo&sJt6UiZF9@sTMfb$OOTEX{{)&NM`kUZxoLcz@
zQhyz!&G$2{pKCKSy`jdXw2gE`Xu`;=w^oUm2yn6d{QUGLFu3f`UkX@Laa3!0sO4WW
zO_dwkr;ysVh7uqAJ60{aSUV{l92FJE!bK@qrJ$Wf_ja^+P1Zf3`0j0{tVEBY<|$eb
zZQ#F_#>U3h{Cv|U10wa1{w?85+kfBsd2$soD@5vWVyVIhoc=Z@VQ|rf^V4U&RmdEh
zDJ>%GHLR?cq>PsNE~?)e{P+p#LyU$*uF>k%=zADb^wa;iTSd)Z?6Zpl**EkFk!yD7
zW&q{R2lDl(M3al^ww#<C!xI%sN=o`a+JK&-+zI?CHKq|=QnBl)i?j0*`hTiW&Caz`
zmROS~ULrJwFH@;Jw#zVF(NXUvW}T)>!EUJ<M}QF{sH<hojwobitfsC`_gjhy*ye0u
ze%=Rk?^BKt)e8nuexk!TkBPG32Rm&0N)5NE0h9poo#Oo#z~%Dt5`o8R77N}lGBOf$
zmi#;Pnfy|lo0`<%+!PIJ3$dPOr-JWVt%>gO%OwT^PzI~RgnBS3+@eYqxV?j^4~RXn
zDbK|#9b<!GEF>7dB1@0c)6?#G=B*Tzdfjdwoj++Yv$2G+Bve!_08Y3Dv@^j2<O*z2
zly(up@M8TkuG`wWx(tL>R6u9V&h4rH4nz<!y2*v^2V<yZ^L8{_gJDc;cS=+^Z@AV^
z=4&mRA&1h8&Ac<`eekM6yUu7(>YY=J<+Gw$_g7~&TE1~f&z*J~HdPvob?j{J##&kn
zKLnS-+A;g91(zlJqpItLvc}uw=nI4f>>r*j!Iq45M8@t0w~>|-Ct-*m6dMli!(6wk
zGQ^ug@o}-Y$`Kl06(u)2vB_UZ07_a~S_zqbP~(7+X6V%VNwD5u5}<<gtanKZ!U@ky
z-mZHh?igh0dYY1VH{QLeBW+LJkdtG?N`zJhXJ;-iKjI1T5*Vwm;u!t{V6CMW4XB(V
zDZ4LJvM9EW9cTo98e#jLD6tZ$*fS~%%0&dQ4e{IHjmp(DS!!~I@6fk<?{|ULrGc@^
z(Fl{O<?~)<o5OHXa&YxwZ8+Q4>ar#5@|if$h@{MRh39jvSF*ep;W5LM`~L3EXN58f
zto2a~*#C04xOs6mdUNL`w6|SfU$3}(a`Hm!r}a;U?iHxBKVyl7=i{gh)E&CHkNzSm
zzu}MkRy2BD9hs`Sf3o;~LF5TwM*b7#HsipzB&Qs?Xt9b9oP3hA9j;hJ0un>}n}2!2
zpR@qNkk!&K0wz>2a<Enqo1T!6kPHw2eg;I*BtvBu3?dDOH-OKHGYM38m%N=6*Wwfd
zsCOfM9j`Ke@fqAE?Y@u|s;!#`y@86|i+|^tP51@qKe;~CW@UPk`fDker@%1JSV~p0
z9@#b=*)knN3oazfjo!`R3GoP>w!^cSrmU>2ytn{)8@wxnx!T!hgOz8>Z2BSl`7MzF
zwB&WGR@iYfuG(D<uiAq?J(gYIw8;aL5Eyp5E0&1J1DYQT{4MJGQo9<J`dhb!g$0_M
zn;S(W0Nb5z$$|2mM>U{`8{E58Qc}|7<6fapR5)`aXh<uN)yVt%d)1)?rib<-)nXTj
zD5w)d^30zR+I3Z}^=d6td+K4h(E_7F_Pxb`?v68wie_%VY~;qbtD4|oG_%L)s9rED
z|L(K%mMD~SqH`m^?dPqLzY6uI=+s^c%5!JcrT()|!By4g_r?oA+7Y;YcMjcN*x5Xu
zq*Ck>JwwD;*4-zwPjr6BKndj3q#Icy6@69nM4Ta<0Ug%T(!zoE-Y0`NtY_l-f}Zl>
zs{aB#7TEktV?~A2Sl-g&ZSCv(QX07d!$U)gHC-VJ>k+QCS!(*em`y{OZSf@(_AO<b
zc_A{>aiLBKz5Tn&P~raL+Fl4Q%{2UM=8-2Bw(=G26yF#AfA4SFXP=^S<!uuu1%+;%
z47+pG0Sz4oyn}x!{OaE=zm$=;BSRK3^s5uawua)7bg>J`GcXX~%#k@iPj$WLU#Qaw
zB55mO)M=`zZEJh!12U?uA2z`!J$sL32(i1LZ+=m|G8N7&_uiYx9a1aTed@Cs6xc~~
z%ut$AUTC*Zn}2@x5xiM+Z2Sp6-#8o3eQ%g!%*%W-Pre*3iIK8g!tlSbZwzWBtlZY~
zm%VE<API(>M@B|oB5v_Fl|dp#E;KsQcz8^>luCm?P@=LUx5pb<4cGqs3ipFmzf1b|
z_I4PQYAa{Y+uNJwXsMa7+4aQby&$N>SzxI8)a&3WcS;AGTr#IUHcqr3@J1%(y#hc{
z8!LK!uEAJu|6V-nkCuuvy5F%Vg`I(vl+<}*cD|OT=IGg-mnU@d%y=jvz13o>NIAzf
z>UU9fv>|bD@Yu=C4h|VMc6{{b&0Mf?B5#(`u7_%ilxo|=^71m<Iote5Dh~^y6362_
zYj|aoY0{6|9I>3+C!b7|AZ<#@B9+{J`8{oqy<Bt&2?<-o(>0Q2FEgbn>OvC)I0)Fq
z+2-G7ZRW15O2gas4~e3#O_RdPKeUvLR4o2n>x)3^+8x<qQn_00z9f|5Jca|NOSNt+
zz{Bx_-xyz{BaPoor0Omh1KiF_cE<554cX%c-XJqjP!?ecM7t{`7AgM#PkWT0E)i5D
z{};4XiKnM05zGMbnV(&2OGAk)H?FR(^#v9|!Gix4B?9eP5<%?CKFuJ>w%(YCyk5lv
zOyL?BXEZ{B2Y<n@n(87e)8`J#7owq~>tF(v8ix;!CH3INp4jAv{PDiXr+ffM2MD-L
zZD0aTFpM9c=-qv1-ud_|%+pv8#)Hz})Aka-=7R!S9-B@>J%*KqT~7*kPtPTpZ0G^v
z=tUlA0B_`lM$;Dbn}3lHMmt}Jeg!j5$mT<U8PJ{yNkd%iwNl5ymP=xV)L9$p|Ht19
zS5{gYV4kvj<h<2vG6#~eps=uGb(O-fa-Rgbu&m5Rn<NKh7U})AGK-|VkokE{aP0<W
zX0$U?zM=LL?OKPhIOzN6{vhzsZnY)ql~TE4>Cit-Dl01^1=NTG?SE|WIs)2ot6Ol$
z8lD7xh#>NsSprgyC{Xz-a{(S6o@jYz$^_<Rqkh1~|JbN=w8BKvC+6$xTULyrPr`MY
zz{*3K3w{XN^Hr`!oe!p4__tB#!r<Jn+bywPBBSx!RxsOE^lCE~x^{k6YM}Z1<If2H
zinn-K+~zabVmM8!z_(g0{YFUPBXu0#FU%wV_H5psD;vi?_xnu;GPxiT8j>gQw|HM0
zplg<5mA`<h1_TQx59NqavOC{qPV8J5@B8ncwsTc#SW)_Uag2rquRtC@F*79R(dDN(
ze0q9*dI+ksU0LS2ej9Ikyx8a*OQU#AeV<;!|0PfEY%Ej6xAQd%>`%SzN^6?d7<~tL
z7kguVKF#$^+jA{_TlCiiE`$5az32Q4k0Kg^Fjbw`C%<K4y=c<x#Fxr+n(tjtmeUWu
zN~roU=YBqfaZaRgS#rOV&pDXLl^w&z4(`XiU=mq70({{9qfU(921Ti|tZel5BJ)K%
zKK(`^mAljgT-5iYh5DQ0mA1D1(N46kUtbjXa-ZA3!%O(SJggL-``*qPMU|$q8;9Cn
zY>$+yZ3Hw9#L_$vGHS4{<tFOxFI1Z<s`}LP-fhOx++1Jx*4Zqj9Jq$<TYZ(z`P)cW
z2n&P!B?>&#3rOJV90|VBar?r|Fp|WUlUG^ER$;wRx9pFMskXFpeag26)>5+9fN{d2
z$HfdDTivC9uL|0QWrL2Lg<taTcScgxuXcWxx87SE+WJ0dsb=7Eb8{;saa*Un4A5jA
zR$2?pun?-=G;)rjti$KEyqe=V%}C{JA;tGVYnW(%Eh@Q5Q{+)w)QZub68E}L7X^si
z`0Y7NLp{lPBcK3-EZL{ks5eV-B9ISm34N}>K6%Y%S?+ygnU9HqahxjbeXj`8$;bHn
ziC)6~!NCmWa>K95x<Wj#KSvu}dlb04u2-$z4?dgDf|BcU8G?7}{gu%LpXE}ykC1^f
z!H2`@sD};mmxi$ew?&uES2T=B6|IGZdmNyaeby`Apfi#jk!{3^mIU+{>WEM5-OCvM
z&dj_hsHQ6CW-j!Rc^*0dFRqVgeR^m4B2VV=GiMD)CDo%v@OEbVe+!F&8c$M1Ho0W>
zEgv9}#P{*6y3Tq*%^BSX1jZI~0Uu$|yv975t2WJ@Im7ceAZm&IAn!raE~(r1c^lR*
zPf4kVe7a-D3v(XMb#zr+r?HfmmnZ)+^}@IJJ2pY+tQ)tDUR*AN|EOlt1kTMJ<jI@k
z*~$%X-M%kqS65dD*tUX&gC_+4_Tsauuic`3pH3~v)R}Iiir6UYJ3kK~j92_gh9Irx
zqX2FDdGq`c@ACl~OgB<Y_jP)J9G+Ee0kqGfs9IW^H6Zw@YieSY=jq*>p4cz#yo2Xk
zL!gN!&*-VnY@F$Hzt;>QkuLF6Xxbv_Yh-1+^MWjKfG0IRt%>ei0@Q$isWl9RgNhze
zzWCAdA<bSP!Db{3k~W_R(2&O9z@&+t*Gyr-!395(0H3(q^hn4mH}D0w92wh}KbNv`
zy1f}Zqf8--nEE!fc$%CJKCZ4e@xivUFX2#1PpMH`YwL7eG^7_C)PU!jZv!!V0~cx~
z8f(DqxAm<V96hhdDlqCF0tiRD-9<-VfRFZ~<79y(JK_QbML-g`yivK@e?LhB`5W9%
zji?e399#rt8%zF-9Su$hsLjvcNeqxugn~7T2@top?WvHzG*2xUXRRJmF4gr2d@fU(
z3XA*M;3Vy^p0d+BFH03?XIeZ9K9If0mn#hXmG$&i@`@NBi(n#R>n{tPNzN5?{j8$S
zlN&vxRnLJ7P#dR%djG3x`O*HqCOK%~5r#lr!1-eTW7WA(w8jdPhd{|3s&&C7B%=<<
zw$C=w$u!i~ay7Ud&F2IE)z&)KnWto`P7Ogf|Ed<N9XYkRfR~1Zx{t<{<mMXZ73oq^
zW-{9SQlzBJ{&a@2j^6wNS^e8Rra{P;2|2atCiZ7Y0KEyg_9o{8q?FWD!s7j{qI=s^
zZtMNR@^W9qGlDb8Xz9(CJtWlN9zzjG1$sLHwhUKF*+<Ig1JF}I(dY1+0$)Ld2<`gb
ztJM=yQf2MwLxpqKl<EvVa!^%T7p`|y9<+Qc(Ytu{RLMcTO%npE8QZy7f?JIa3=C`p
zJu<Cvde92O&+p%n3%c`a-2$cVI^AaGJIEJud_X5a0LP2njt(5dp9-$)u+9SfkVm+7
zQ%G9$ZQ*XOPWzUC+xM;|Iw+3FSFL)RCFX7(pN}DZDZ+fy4p1mm^x6FtkpK_%pbzJn
z1QZ$<Z<xse5e1j%3cO@^I)PWH8fdNOgVW+h0uIn&8_65IY}j+Vyb4pxrPP#TA^m?V
z6H7EaCBNkq<sC*<zb)ARsOmj>z#A$FtqbY@xKLMorQGcwGM3C-4xcsnUy&A|a_|C=
z)-{W+pJTo7&=Q$T1Zt>s-^UGdV#wpvfkvoVaj;cMX{l;CJRMROt1hHs+&(Q4ye^oG
zFq%mhSqwi%7Rn9ByX#ER12UFjZEY>FYOTfCD~Mo_+fA_QfPI=!pn(-a1?bU*QrnL{
zz-H|6!h#>s+j~I^HqZNW)IY%K|L^k=ryRZjXJUG~Zk9FN5~7XJt~PZQXt0Qf5k!7Q
zU+~Y}0=;iB=rY`@HqZx;h3&4O>I=~~1|5}XN#%g)^4|-lpy@ml)?W{yz(N^5+}-8X
z_;DMm*$3XL*|xG$R%D9|wq$t=Xi0vHuwD@PmnA>|Xm*2_w1K{TtlT8*6EvY<Uj_ij
zV5vISS}!onlxo!%_n$R>ZUfr_d;yscQU7^$bv5nkV5Ti*t7yv(En#biXseX*#`Mh=
zb^T!fCo=beh}%%zHaN#GUuVkE&SMyi@qQ&Py7`vR<ez^|c$n;gA*jr<opkVhsoeqZ
zkRAwtZGQBM_Zi*1x`#>{gUQ9YS|G>*a(5Xw+IvPyo}0_dVH5;7M<`WE5oVBh)&i(*
zl+TYAmzRZmb}m{NDM^9rho|RyZXO;*8ylN4WV^;-Z4`Y^TD*IUJO|WLy~27$P`U-N
z8(;Z}oW({HpW!!0f@U^j=GYCpU##S23TXI$MMp>H03K6|d=^>5O+f|9*ArSkd-WR0
zUyn`Rkzrl0a~>?RJMi@I$OFwbuw~})#hnY1e+Ooq;}Zds<|cUI%NTekBrTXRQix}z
zjie3|ALX!=xfPSRNdI1|ahsZFok8*mbwGYgSET$RhS(Sn{N{geOWDI@DYz}mY<l~S
zc@|@`J!M8&|MrpoDQ)23D&$kgjx!KnR$P2w1C&xu;9vy#CUYM2f!IMx5m@VSv7HX|
zJ{l^aQ95|?l02gUi@q;UUB1h8UU%m_&aSSu>QgKT{vA7%(fuuj(=0VUxr@R_M@J^0
zXZRL)fXEG*kb-M7Ax&h~@dzxkK|0N_<MqM>es&oEcEIBYJk*vis_KN*k&<OA?m%l&
z!PvST?_#P-o2jOj77M$4_3QQ{YisMauOK^JI~1>gwwEGaG#B7Sd9JMbq`<uJA4z0~
z!wX5yV%)>?B|l4}>PPPL0a=@F^}~Dol+?jSpRHess7yJ3Kt3Ra>1GbfHlB=$U*ITx
z?Sm2S$W3J=hJKaeIgcSeQ@!VlojJgbhbw2r1NAV7NU8(7AXIrEH3~w8t`t5C&*}+`
zU)ftWA#fGe4-19QJ`2|M=!N?;I4ri}p~w9H!wh5X?d|#4z9swTRtc`}TMefxTUwUz
zqMZR3C}lKxo@QQM-F0H&^Rb#&&vFpud0qFWM6~p8*UiUT%NZB=*=P-y%7wE=Wf5$5
zZRqjd-X7mT-H~+OJ;BD)kO8sMUBS<%J!4&m;&7|2l*Gkgkck*LdEz~vV571&amv!V
z4jWG`|6Y>%a7_FhN6Ed<t8gs2Na)|T@CW?klHyCp59Kp7^!VJT1nrz7Q6D~>h=;a%
zfnW|2qy)|{B_-u1ftAzA$%zC!kgGr>aEG0-j{3|~)6?@|Gn(UdsUBUuA}t>OSJk$%
zBK6t27Oqrha2-j`hX)6ih<|`pfx<yDW)YkaX(}A|Y@)MxJM#HA+jKy1f5BL>LqVni
zktyiDmD|i#yi3T!po{Nf(-_S(ifeXQ&IAbsGBfer=09e3c|silnYoQB1N?K4mWrkE
z>{+*5aVt0NCZE{-RY8f-a@hZHvrT+-0PO#!A1bli1r4wqpR}B0(1;FDP@W7{gwsGb
z?J{|gG08~o#I($wKGk{uldCUNwSZ40h#VtVX^()4MN<m9@hzZoRjEBK%M7>Gh8aZe
z?0Jwa83y;>w63OR7@-0H(7K4+bL$!R>p?pv{mt~qZ;<~&LH^58d3<Jc_(vMHt>k~C
z*}Y<5<%#!xTD8`7$PI@Bmw0k=b+4jJ@8cU8o#=<kzb(XXT67KDRC|;BPg;Y^C&rRN
z4lVdL+n$==jSp6GP*AeuYAHaUk$|FkP$StS(85Xz_T57U`p7+Yvm^#CK$Zi^;qCpT
z4&eknYRS5T25ddHgCvbIbbzF9&ikx~ki5-lZ-N*Ev{yikR*#j)OBfH;`(QncB}1=-
zKf#b3JoiU{WypW^t*t&&RmMY+l7b<h{vq=qkS*lbQsgn-&w?1Q)FwB$Ms(>x{HwXh
zz?XpI|B<s6AHRC{LKWxX?gQ^l=cfUksR|K}E$aWOBHdX=|8Zb^c4WXm%3j>R%pTmf
zl!+)a|9ejmhj`O93A*F@|2${ki6I$Dbb21R)u)g>#mKa;AgOA-LF8i(5Y8z&(FB#i
zGn={{+dsLguXkm~dC3ekc+9t6P<#`J4Z=bBoS>S<i_Qg>L4zYwiS~c7_trsKzTMjJ
zb%T_2DBa!NDcuT4cb9;4mk81bNQi{A(jnb~AYB3i(hbtx@5%4k&))BzJ@dWu&3ylS
zGcPla#C_k_8S7ketYfXyO)8Cx>7O}X!v%u?*s{mj2!IKy90YDS)IY>XqJE?SEU3kF
z)h9{4&Fw#DXcG987tF9*=V<W1G)YT9XLFyDW0D$j`FZ@*DZQs=$K60`N>HERddt5z
z(!7_Sy#YIG>b}RQXW#uc!Ub?RL?YyG58NoQ2$bv6i_XxW1E@;-Z++DSFvSF*nf+dr
zG!<rCx-pn(rT@(AEO0qX!%K`?d`^d5b*F$(>dLh(1lGHHU^f_OE<9-G>CsWndeFk2
zo&>|GxU}>Z9}+F{0f=$4i3MR&1t!b{*y&P$m1IDw-v9_EL9w{AwRITvlMtHUKE5>4
zX>{8Xk25G&-%e2#BndHcf_Kr*-yb%6u$Mpc-apvOA7#eb4PXE4@DCI}h-c`554pEt
z;6E>`1X_i#r#a;x)%l0XoaORCtNiy(rSEaZh|8H-Sjej4K94u6)ai@YR@zNaV*6-G
z(0vPK0^~>=Xu^@JB(v+2(^G%c_JQEwVCMG)QnzmZ=#rNcGfTGE(>35^s@>iKWpo0&
z@L66vmmMm9>re1Fbe@XJ9y$R9Z>UpchSyWEu^7IcVd#~w1#a9}o(dziyJ36#O;=eK
z(w6I^oc4ng`mDST)=->qZq0a<pl@lR4iqKO%~Rzge_rmL!Z(9m{@=Fs=x%_H9hT%g
z;Ojl~a@V`Jl#7cI=%4?wtv`zu*zLJl_)Wb4dN!Yfm=p@2SOl}m-%hZ<yeh}vyTapg
z@$}lvoU%+fyvo8scZR-yJeyq~$8PNbp_y9I4<|0}jcYGY`6GHmfz8zT6J7qOr~b?K
z!DpDUvO7zee%+oXwD1V(ao!_2Yz5jd`rjhT<Q|yJ^j}(?`Hb_0jU&_fRmaMI->|*m
zSHRZY^)yfY$A(ddym?TT-nW5&-EWMhvKa7REe<9w><7}?`nWW%fzkiUTl0w|)usdK
zgc=Zh5<`!a$3<2i@EQ-KRP29q0p2@KOYUe7?2eC(siRWl6tzW4Q;|-WaD&f&QXSiC
z2`@kUv1xe2*W2p~6p>ZWMVJ5X@dBX~^!foOOZ51qk3Ic9RfL`ZjV$0#J`lBJ7XieU
zdBoK+#Xnj317JhqBZ>d<_WaTCfE{lMFnSPBhPPAKKX<MYo0yyf*Ar5Lj>Ojcm(st^
z9D{Am)35>CDpr0U*Alz1bA`M12EEza=b!@#6K)d*X=Z$K6ddPy{s>_5Rk^vHY-(P)
z-#|9w;QBTWN~NN*jy<)^AGvzsdJP~tQ=uSp>D58t15ps5VbI;D7Bu*KP2b(!`F92a
z1d<tSRI2;Qr5_R`(8*q{Yn|sZ|1M$;lm1!Oa7t~b5A;sBB<_b9?p);X&i&GVPHZ+S
zADHR?)5IJC*VF#b6T8&FzC?k(Z10S*<@r#8C3SUbw2WjWK$}EILlXgoLf}NXeqVac
zr~LsKiP75O+w+BmClS&#hZ@{RNQWI*5EK#;QXO_rhVf3jp2T=``}gRmY4P@fxh#F2
z{!s1iM}__IT^BzY(QcJ-ksFz=2lz%x&aYB%)y&W69y6trbMuss!c%kL?u6k%S2D1z
zJ=pDS&P7Q_rk$&#XAh=O(yJw|xlFvF*zC+Y(;J0h#k^JdA8P>o5k<EDZVo0vmKwso
zR5d$lfn?qDTKq0u#DkP@`{y;kk6_q4Ib}Usj4L7nH`8p0os39PiyvU4A)eRO)UXm>
zo=fg*Oq^9Z_+Buv(LK*hKimHJj~IrT`k_KEYgjd>QJmy&0z^jd6N-U&1{4CA!x2Kl
z*~v_F6zp+kQ&xTm%Vp2JHEU1%W&f=dY5zWFe~_zHrrG~eis?Jr7!NAp@zSZ-QR5vD
z*WX#du6=fiyHwBM*7SXt^~*m$f!WwNy|0`)^fe63c?D<zP_b62&(ro>Xgy3aTZVcA
zVAsYd?T-$!;^i%zB08lQ@QU_9UM;bREc%BTK8-Av$`7Zs^)Hx3;FRsn_B_~u9-!Zl
zAY#~nPVKAdPqIVLPl`{yAr7>aBC{^-fvZxT%I~m)-md;~TAUR%&<;ifyPY0~U3}TY
z&xkx11XDgO=sykDTE$x)giuX+?M~bf=!}i4B&q+lRe#Q{vw?$kXWsf}XT$w}pAYBu
zzf^|4_vx;JT$foTv!B=kk)|Q(<50aJvFpF@Kt|XEz-o10w-urDM{vRHAB4(GICKh&
zp2O)-P{j^!?4TfqY&|7UVhDSp*XA-O1{7hJP*FIG+Qb4#mK2nhvbt@KWE(sEuIMnT
zeWjbYA|Q_Vf}KhUSD}#M@QLe#vmy-KnCc><*@=l7F#@z!cASX6kAgseiK{aH7kYuT
zcnr{uY{g<@zJIIAKA<X<9;RW&bbP<{##KXb3NTC6D|b@S|HF_c?cBLBv%@9=2U5Im
zML>X5lKYS9X%>_HmnN~Ko})(l5CSqN1c6uMSu@hBA<$D;1?&c=-4j4Q`!JiY=6b-a
zMo=A1y-LB4PX;>`_3|I@toAtvfe4}m&*4~CeABoCjnMpm@DC899z3<*z^gkuKSzT3
zLG7X8fgOI2+lNVdbQ^%<eM^Y?nzGewzw;rpvn?>B2|a}uAPl0W0$HHahv*rYKC_0&
z^3qa=2#_W1>i^J_8Q#oBf^pxVbJ(OND;N-~cGu?|n5^+Id1U}L{bx}0piJ{6`(9JC
zH>e@~6FSFUj}L+vv72*$?cbqu;X}yu@6Z{5D*yNE|E|FQU4j2kR^Vks*A5ik4c}iC
z3&T>m`xO4?&-C;qXPhKJSe>K2BLJTY<roKB&D75bNrHz=I(M`MvV+>IN=~7t#YI~V
zFV~7ID-Vy0uJTE=^+{u7*;y4O0O}d$&FBQmTwL#Dq}lM}QDFl}Ch!-`LB@n(hq<5)
znCOb_TL8+2dou<mTV|jwGC@%=&_tsc;)5<sd58?7yfUeBn5?}>p;3W6BcvC5IL7NY
zf_HAdI4sy|Yvx9M-`^mh7U(3O=9v-@qjjd*q^;}cjN16~5M>}P8bVJ6V~^d;%~ysy
zJ~4!cKkjJ$KnfasuH3`CjHC;MVygv+VkTh%80|igX@Aunm-SHk$N4aYhdLZ1s-mY0
zr$P|OIO~lqEVRMeZJ~fUup;vr!k)6A>h7-%Ph(A4*&aG{_H{cy+48nLr2{O_sr{>0
zH(!g`kY0OQTW|2r&CU5jHatYTF|xUykw1l@=5CJYwt-Ah-<+N$oCi{PN_gKyuniBB
z`R$i&MCiF}?&wAfMk+`VXn=u6KtsySH;C$g3_)(E76$Rt85!{h-rYz<e5VH60y1ic
zDn&kw(8cZDaK2tab#*no1bvV$@G)vW9Ac|&{p;gX<E#e36NAH9TuA8GQiwo)pa08t
z^O9|kvk*7S`T5dTN5?ZU93^RKnd~BCRpr(T5Q=-`>!Y>rf^eVwlc4K*Ucw_e=}Z%N
zcI+h5P7Xk*I@am`Sa3-Qm3w%4-dA0yVPlVaCH?tgpJpZX5Hvp<>-U#Ij|>m*&R<`*
z5)V3tNl4$lx7F?B$Rx-F;N`{>LC_Zg3n}RH8(u!Xp%)XyASrA@x!g0cpm~Z7VFK~E
z9vT|*hem$=;sI&8_z=@u4x*SldvJGaaZxLN`wnaXIuHrU0s)u)Lz0do>V;pjWlhm`
z5|s-q=qq#w8kkYJ$bmgDR#JNqKr5oKLrTaAzCuDer|8NayCJ{2`nZ?H?2AsaWhun5
z?Wm{ep9cWPoGvcV@ZmgMCV)6bHU+Kica6O^{c;>`J}+4JufRXmj{4aH>v|lM5nd$6
z2K+}mM>C_NRDJKSO-<K={Z(X02SS>+ctOT-EUru6LwT>y_uItO?&<&!&1bF{1zVGA
zJwKO|{Yi3)kg#weQ5a{lQMYRWV0l@4>2^7NUW(zA)>Lf92x8KglIjelI?{*iU(MeA
z+?#7MhFg3PoC1)GfevgT0uqw+W{?ifTy<ydzhVsPhi;x8K2yxZig)tx@Ms<T^$YJc
z$p#K24mVO<gbz4)4vP3af2XVCxK)m)!s7_8upv)yidzc`==z=0^<j@-e#}HM0YZmH
zGK{&|*`^WUB`^*eDyJ+C)9>X#{P+ayCrfm}C8OfdD;bf>R>Jm}QJa%a#z^e`D#Wn~
zUj3r0A&}<J!q-z3BO)T2r==2C?iwANm^h7Ey^LTl6_#1W&B(}D=sy+}W2Q0&E{8^S
zGbACsB0=em@|vArQ`ZQNNrb;4K82;fNa{vyiW&N|Cor^u3qSJ{4142Kfj55;D&)rt
z28m#MhJqc#KA@Cai*$_hxL@fXe&F$C7(3)g4gO9ycde7`{xoPXA|)Q2K9@=&>6fy<
z+m*aOi3bLlyncN^5tIga{8ysBXE)}nTmTARz>h!Avt7L94C)7>+By$T`epnMKOY~P
z<^(e2Yh&}p7LazR%PlaCVF54+Ln_$aaJUQ_&>F~}1?R5oUv_^5=@JmqiPBG`F!xvO
z!H;Bmef%0+x0oo2-M}(h*^1v)Re~JE2feeivr9AbS_*|%I3`oqG}hLhB950aZlcb3
z{T-zS@SBjJ8ycdR)`cJS5ntXsNlSq|T{NDo(|$g3O|<v^3XVLQW(#V&F11zZ;q|Sy
z^(Jb3csJpCzM3TmJ8g@5t2d)F+b>Lr>ZlVOAm;HF1)xV{impC&^>5^kZZgVzLB&pj
zd5lVU6O)jLJdr?$z~a)cnTHqo0OF%{NfqD?wZ?DngRQb>=?5I}&GYLvq{Zd<eu6Mi
z7cB&ZfF39<U#nezX)whW1sF&N6c%L(pZzv>ns0Em{)TLM!@zmz)yTY2>k!z@GkEs$
zI05Vc>yID!)nMqQ5pvCJa1>Nklg{Z#Ah2iG@Q0CF=}t};2~`&t+xw@<d;?UeNC}Dx
zREb-VcNvC2XK20T(*OuRwO~3NRA<2!LG12?9}g{4f5gRxz2;|!U2YUG4Jb*hZ4|sY
zR@cxNf7Ijbs3>CPUuR0t0c?yrWdKzGRZtS(3kidh;>SaD>vVu&l;a%d9pU|zz}t4V
z)&V}*(gERhRZ(UZxQ@**^`y$<?>3HF{xXIA2mVeDjB{T*-AQ3}*73QyTWKDmq?g*c
ziLd<ElC+IfxSwMOt|CLpDp_LwE=L0oIRQkDKXUWKARyvOEqV{KWny9?q)|WScRUD_
zElE)q2fF&n^S+{b?9aErO9VDv=9}qG>c+&x1Zqx9gd0<eBeq9N8|#5~lXsaQb-Ayf
z?0$D(1FnY|4Ct>iGS{8lh4=`=I0eUjn~y*<>d2o}UH$yLJUo8D7B@gzK+V;HNw*|e
zUxbDG!M7)ZLwYIFPm#m4YGwp?G@vq|bjj@D$V9`=YEWO%?VK(SU;p?}E@2^SlYJg$
zA_wdb5EEiZ1b$H**Ygkds6bD%+oR(#8-z@DbpA8)l;7f821z`FtxFL_1jJs9PE8)W
zSE#XQZ{5o+b>n~~PA(`YKxy~@VuEg+)z@;@yu7^h^ur(|{JUhUX_!(L1S}ak^gGF`
zEw}Ymy&7VypKkDqz{l-esJqCi5+!J`hzXJeK(7xE5iigqc2GLVE<dW^cc$;?3}|cX
zsbT?nY@$a8Bte*8w%dk3a&L50&VK>QypGC+7@`Rfr=k-712Pvgej!eFc8ypPxkUkd
z3tZt}gc_1kf^J-KkJaZD6FvbL6{zNWj-W)`o&2304#dT)t`o~-OT+hu6A@qZIN3=<
zy%|IOj@5y<z?MU1J2sB}c_+BQK5bBb6{f_VPIFj`_;OScg~;@FMPNubqQ^a%LM&lN
zDt6^F(4O!?NwF&;6~5<tQsy7HCvRFhajCfQ+i^R~L5iBv)@PPr?FL-}cbVP>5hqTy
zQ4Mh!9vy-}?0U!9_nW`_CP!nU+}+*XpYSkI4QdC3v@k64&~tBS!O_M>fVlk!)e#0n
z4|y4B27<ht<MhMPD`swDL!?(uJy-$&wpLf2K5kIlQ=Fz1fqV4D380ycpQvMCYtq&o
z;k>s7HmlG0tBXda_tpYVn<q`2o4C56;amZD=hBq{`r;BxA6?G&kLIpsp7rb1k14M@
zIfmRxHtL|VT9#svS1<M2%1=3C2NGm;e|PJoIgu6d(*bxQLFObq-fUA264FVaKJ(@K
zuFX-W44`G<Iyr#*w*&D+{-lDUl*hjj6BCP103}PBw?E}r(wc}-ZcWhr(-N~yYeJ5t
zzl!_A3VCKKu-b;|feMZvmI}<`kc$ls4UI|6-3x)0eh%F|T0{-)sszFm3{FXt%qnU`
zy;ux2eV^b*ZtJ11&=9Dpquz>oiapAa0%jcOSkw)INj1klUUpi<YC*cgqpiw5Fd1?Q
z32CDgr)cSyqNypVDcuSCm+CpF@2Xk)?cfiBby&{cSn4L8?=Q4TX-)wXGz3UknYAoC
z{=hRLK8lGC?;|Jn>U{zzJ@XigJ5cNV$Oy-C>3Ph>YRK;8X&_6#5LS%rzG6*Tkt$*C
z#YZ3oN9sptogB4-Lra{>LlLsMfkV6={C&{D_XBB`r=R$`t8l9shQ-gQJ`#qhJvFT0
z;pNTP6d1yXL?SN?QL{3^<c1rYnz9JYC)Ch7FL0n=laupXE~(NlEkQUfao6xQ5}>QJ
z4UALGFZK0{J3ZId88qOLv17Oglm?Wx@Vr`Afz?M2l25Cm7l_q>e}LTL3iZOmi{QaT
z+`$^N!|8AWUuPc;1EUq$gexcxCVw8f7R?zcBGOh+u>K_=1Q8LD@A~$z8JOpEzh(Da
zG);d+ngG*To<R-hhOKkCFjmtbLiR0dBk=tK&3^qB&Kce0O|}$$yyzZgT2jqo@5n<m
zcoi+k>D6ut?acrVRfpLRW$6j}xaLQzA3qfV`iv$xp}k7_wXX=jvDmXeAfMlq*XYTj
z&}oeBMsJC*)Obyd%#4WE*DuwXY8|rDe(!l&a=s_W*5nv2*HT*pHdfC<cM>$gcI{&>
zWN$wB4uk6GjjV(w*8ziUNS^yS)XdD;Vr9`e4_vB7SP2p|&ci;0w-1aVzD_c)jqaqH
zXJDh6?6T4fH}ttkyFg!jR9<lM$xhKI@Mu(^yT-;wVo0FY;T?nqO9i9^HcLP%S!(@q
z*FVPq^hZ6&!iYTR8gFI__PIw;QRC;YUu}IFLovuiQbke+Mfaptq?01Ow~*KKe*s;D
z`jjOV*Z~s_4GsH(BlOM-2FTjRX4BQNTSa>99XLu1fdHN>P|F#91ZlR2c5=O#0PPEa
z+Gmk%&h_pA{0VhdpoWqlA5HfLOWmFVZ&bkb2iF<drsZDAxqOZGq@y!l`1Q-prw9&c
znR_J-j|qinvOCir=VTh$Uq2rFORb5eT{rON{wkJYjP^oEgfK=ni(R!#`X#MFuTq5N
zQ6DfKYhT|t^YHMTutG=>;3$8{O@ikj?P*}-ytM(&HsW~>ea_?VX16@F^?Vw(boNWq
zo=dK=li^polL$puj+*|yIq{j{50>Mr2`H_pDp?%($W2dsM^kM*oN1{$nF2MVw5I`W
z^@$sA6!y6`JA29gVQt{L$emw-s^U+;D;;5{+5i<4#oQBp5AhYirWmMZVIp(Ce*KyO
z;Q}S+>^GJjAa62I^CU;~)c&6aZoNFN+VG$1U2^^Y-yVV{dAATQ&%Hmk$(H_7nj7%H
zKiK+eg_y?*7Lc_QL0NlydjWjjMrK$cv0eSw>tKYgt5?(!Ka(J3&D)Zl4ji=!XG(S$
z!YbW*{t-a<XTadaNqPiP+m)a)dmEd2Ugs1-Eb-Q-I>|L;?SfE%I1kUaM{=^U^f}J4
z-dnE;2b56QGTAeLF&_lynPg8$3V>_8O<=OFpcgV#`Tq8{Py6X(EVb#c7h?85HO59p
z4v4V5xr6wr15Ul4Lb&Z7P}|dZUl2l&%SB?F0=EV@uDJcpg+R#SR|NWDfDeKZR0;)v
z?3$zBgRZv5j+_4V>l?t#&tdfx*!=-ra=f?GBO@cvs|kM8EOI>zKzKBxeHJ3YG~o~G
zf&M&+k=52uuEA(e=voFvBih>9;(img2_Rm}EG}x3yCLAf5^n&UnatV;E0=6Jh)}_5
zdsjiJiB5NwMbrz<EhfZG6f*>2F}v`Fe{p&8AqAQOM<Sso@_otxP}=-aKi8lkBo6Y!
zj$fJD6AN(l{G2&L*x2pOA8?KnguQ#KO3Y>QG&N_T=BI~_q-U^;(r^(0_w8Rub-=gM
zDQW~krvQ+dIM)8L?(S}KP<jE%Cfol2JY+5O0kNp+U?ci3iV_nZu^0H|e|-Hv{`3I=
z4l(S25IIiTGo9ktYD(Y^+?;J@OJ!+ko>oqNP|q!RdH*-V+e>qz;l6Eu<{IrI3inSD
zrbG&Pd5Is{6v1!pV)RNCDWwr|YNw2So!<GHJ2^Qa>FXzbRdv`c<+DwqK?c6QnSS9@
ztcoGrM|d<S8psv`zAbIyL*Ir4eX|%h-b+kwczX#<`|j3EidkdYx9s@0mHV(W;yn(P
z%znY}|Cj%Uh{E76s`nS(JMKmOGj8ZWpm{%kr?H9ppNT*^uzlaH!nrx@f2QRl?BnVA
z`CS5R@$rJSr>BSXKT{<KoN>s+)zkA|KSJh<8Qg;Z{)7_`X-`jy|G6Z+*=WuGW38N%
zbN=7_Hlc(OFVZphCcbfWmu+f^-pTOy%$$Ga^5na$t&Lyb?93YP<2Cd3o0`PIlbp*c
z?E}ZXX%1;nTAgMNVC){Afe+g>>dUb3;#$gVjJ%=xq<C%)AIx-<sV_u3`-K}SGg*Km
zjmS-Wan0`B-d+?b8|B@T_9x2C`Aye3V3#+jB$uxtHfx31#wPZM*=$;J+>wX0jm^!0
zzec|N{4kpweXKOjiSxr|$6a|mg4gbz<lwQ(24OJ3I(_!AFp=}JmyI**r3Q6da&vPa
zTNp3&As9UVA1NADsTiFT1>akze%D+%`OYgo@tE0Zcdv{AujT3YL}j=ABlk}|Zl2nB
zk7ev$AR2)|RD?Y8^u&L7NP1Z4-#s?)1nww|T@l1R#EWe(3(3)0(<QZdp2t4~-*6o;
z{fDeJBG74px98MRE;j8e?99h9;EAOI*kr^|0C`*NCBqQ*KZ9~ZO|Xa~m*>>+et4%0
z5v2s7*OSQkFq$l$sF$v4GI5_v3JRu-qR1wFb{m-SHi&@4NQ}DoO^La};&t{GW3MMm
zTkkA9&*lC#K`PaUkKMF<Z?bhdr%l!znfdH)G#5@{c<in5%Pq;o__)9l;SWPr;S-Wk
zU=P8HZha?TfA%2&QzCoUtbO{~o(Hs`=<E9*vcwofnBe0l0(g1yj9e6>pV5>ysE&)>
zN^`g9yH0$EnK4^_&&?fHn{^i8beJ7h1~?Skm$iv?rOqy;e}--TEhy8?Azi8a9K|U+
zN*Z!-6xO+AC-*QxS0s1t!iXbucm00;UweX5gP_OI+idGEqM<qc;ngOJ&mYl_eg?Z_
z`}XbFq9%h6sbbDjI;dA|g+(hOItk<Mmg?ze7*<vW7_pEVniZKJ?E0tuL51FK?g<I2
zo^{zfqd}X0>nSo~USm!ywybFnTPKwl&o#Q-7T7<C){p5o;LcTYRG8$C?wHuDg@9{9
zJ@i$wn(Z(0<ZC;2fhga5;^rH^6*XPEut_No^mY3VRRG>I>RYTDkQ#M!LkqaO+=$Do
z@X>4bI)tO_$^aF1CLG7dlHu=mwzrKGO@$x-Xh1+kIZX#+$G;0D)xtryPB^L=HlT3Z
zz5uOo{8EQJQZ2~8e>`5<#46jMSj%4{-f{B5^I}?uy(NLZH13NDao8Y2?YaG#zN`t#
zJ4y*YUl7Z8er?H6G^Rb%hPUR$?w<HJ7vSKHI>V6JnCYU*4ozKsz1N!p+x`d}O77=D
z+RPh<R`a0x*BtP8MMoz1)FZOjHX!+Y?2e~aXXz0hcys+nJ$9}m!TSDzTJF}yL+&)(
z=YHbmGAy9QW%<VHDu}B6x4yLH<a~ENSnN=N%BXT^=~dI~9ovIoIi;n$r~@~3V`F1-
zY>k^a!bL?z9}06Mu@PZg84XN$k(uuhQQ#rQh%oNRk@<xAczGYWIyCRFLFW`Wh{ia=
z3$58?!QJyCr0Rt!ItpSa+X5sdp7iZK3~)Y)8CyOwGcl3S($ank#d4SaRtqX&vSxS5
zl%?HU750XUi;5B)tMl?!h0_XJP)*2!sz5BX4tlShJdtFf&mnd<TrgHwSI=zZ-WG~g
zmD~GhAM*jpiCyCS+xf4Q3dzwGohpmoi}dvLI*5fj$9HVByCVcC5cWAWJb7|r;`RY3
z$pmb?hx))msKjbLN!WAm#!6^Livet1l5_|-_7rW>@XqDDMH#c{!6ZCdrQKV61FP-}
zUasoqCaU>sZfAckpG2Ja9Bhk@hu~8H{UnhsFe|?`m_DSi2kK-W!~BTnU-hGIZ*Plz
z0kZ*5JO%*{Fu>hwtvPWlM$KNzimD6<UOMTV@a!<4L!BqvbA0{HnfV;ux|ni#yoLk9
zH+iXissJ(ljVZzD*RnRS`*1;@Ad-^eVqY=8w%OePym|TLeHIYBIu*@ogR$$JRFtee
z4yD?4BY;JOk=f~}yCL9gCWi{QE%DKfHC4Qy5TbZ}+p94x>RH)gp64$1U3S>O#<aJu
zz4!%<e4kO#R^}?sD83*0y^gUl`BGUMNRLWEVrNN)?`>|kByFsR+WYfph<xBl3rQjf
zWjEMeb4yC(TI-vlz;TaL60A3$p4mX8cfIL5t>G`zG4@m{y3Usul?+D(N9PVyDmvJD
zi`k{EpFa+Odn%a&5EW9$4%WWqHlG|T2IPXfYt9@QsD`<4wq{geQGOnS(I*z?(pDV(
z7whuhnMX}jOA0JcOfctp%sI{nT<O<3z_=Cr9M`!8dSlkNIv@#A`C)~s0Rh)iAec5U
z#p-`(Y8jGFjOgCU&ut#L*R-(&<~g2x+)i;2pPafgUu#s+4&Cp6O>454VVrNjJ6%`<
zA2P3Ci!|(!+J*)Zc|Vn9mK{iDUPlv=Su{rA!+W_NnbX(A;p^V^;Y?%H5?oqzURdb^
z_quxjm|3mQ0Un}i6jUSxmLZ3V78t9r9&3mu$zu0aZb_payz5B=a)cx20nYOAqU9E=
zr%)#$1N-dzWP9g{neD$|1(}mY4_;;EF)P$bhtT;%?{-B$SScz~b$9Np2!%Z-zk6d*
z5YUEy@*mBSfrp}D5T$fq=j%inqUGq&Y}|9l2t+y4wO6G!gCVJHEX!96#buMK!a}o0
zX@*X+rCptE2uoUC2W~S$M3@<V;z7E~Cxr)wrB&2-*OSM(vHRooc&99u7f9N3C@A*u
zjyX16_7RuXX|m4?a>Ra2KLgj#vIQAH6gh}ZF48Ar5XbQV*P2TCi?^S7fYvt(f68%i
zCf_+GsKAo@isWJGlcxUK88%e1T^Y=>ahczV`hWXAp)~eH*UP9)?6RDn$B?9$<T9Z|
zP-qrziahG%C!X8msp0mUFVrEK@{I{R#9q_#an4OU3=xQ-RBGx+>Y})bf53^&fE=OM
zO!V}H9)OG2xx~w&;p}|)$Z#qPX{2i)rEuDunNog7Z!>;4*G<nLw87K&K=Hud<Yna9
z-`URdwQu!Y{^a!CU##Aqi<70z%+o%e-tM%r6FsH<6Gb_2=$|%Qdix?>O*KR4$-(b4
zFOi<zKI~Do@vQ05?PicpqBr(C{E?!2+Yi2exr-u*YBTs?(EQ7g5vw07@N_x79A7VC
zd=hFuFEP3uZ@V)^`1!%>I$RBw=hZx)o3e!8SFrBUf!M5AVvW@Gh-hj&hL52M`)i~^
znf1RjZ+i3J9G<5lgie`Hq}S_JP_ss%qZvGg2HY%5s@914<|<qa=W^UmsEG_~wDVAt
zd%X{~5sKHhT($1$UrbOBD`m^mGd66FbN1Hcw6?a+?0R4#yw*{iexa^TrKG5sS75sj
zck!ubg|HT|&mAHrKdDM<x8RB1U?VrJ5F@`X=R3H<{)`;6q55uiQp#qn(>)Pb@qnT8
z!u#`Wqd2Ona~r$FvWtEF&beKqD$xkxNpbE9KmWPmW!7P;Jr+=r8+jzXBZC#cAVua_
z*VI`?!ku*%2+9G*%Sa%3#^SsWvn6*i;4(f750CHVs-Zb@xg!5a4_W>G3i&vW9ZG5r
z>^><|H9spd=Ja@RDK3w*eowjXc0EtQFcTM<PTLQ`p{KJN78G9SS;KB9>C>~D7XJ}k
zUW?I(6|Ysl?hT|rr4*Gbc*_>~Rm5+(UOL@k96i&uPQB6Xe6^_F%q@|wH;D<27L<2=
z(hFmeX~XrE2HBgA>dTLRg({Sla{i8_RZ7MK+$T|lMTbrfIx9;{|KGoV%Y#l7iK&;K
zjb$mUx>XiiplHs#{0}UZ*M3r~R!0!bu)3z^$$r~?0M%UeTbXpTea@eDgHteR-o+vs
zdm|c)xBM?u`<=J3Ce3jsFS1Nbeq7CD!3Z{IePnrIH937h5CN1Quqg#mnAJw*;fztM
z7iP{i9Z1YV2fVglX6{MUGHqIr8EI|P&I_IF?W1-+E**O1wBm+uPC<93HT&bw#cxx_
z3!h^uf6IC-^IZ0KgAefdT~kyUTg<0_$@8!nYYVGk?d@?yJKft2)(n3A!c8h~%L0c?
zVc=gdn|U({32|&nr)-<x>@kQjJj;6@zD!LSEOj>=o1-~SYmZM*E^_iRMacTi#|VZh
zcziVC@Nv?N-&0;MA){&GLMIZrS9z8mGH8gfglu>ns2k49^=asf%Mq=@fnSwJMbkQm
z9UX-m(Znw1+Ov}zWDU`@<%r{Uk1|rJu;jCX&k?LzoTQF(rGN7{NZ+eOkPgN&%*Ae8
z+^~_9yhu;V>uUcLtKcZ`;3Sx@Z$Kn2O>-$%3ALBg)u4a3Zetlg&Zxao3R{MjzW%jr
ziO@%HF_u<%m2n1oditXv8i8t|+!p;DN=V~v{B8{VJ1)A|aI#UE_PGL~<ueAo%Cfs-
znpMlVd7~>$9W**K^%sID1D|*yM2V(z{wE~%woR}4hw4WExG?3^dxi=gRTcf#Suj?-
ztHtUL5pTOq!^GX|A(Vap>`#7*2iL)cG~(kfXZ@?&kneeD&7Nhm=?g>MCq3Fpj!N4^
z>Tamg7MYCGJ~dcsVdBPFSX4&^e3ky!XEO{<DU=n+`7hFmIixZVwSz%?WR#u;i$jX0
zX{NJW6;Qx3dc^TFI|2=wBunW1uDnKU*9JRKiktTytSx&fqx{RA_Rs2t+fUy|g7r%7
z$Y=G-E{z47*bdTo9N(3mmcyeB7`4C$8ebcw2-)mC(}5e_ot<7HSadkcW@X2Q>PayY
z#%47OPJAlW(a={XOH?=NZ$P^c3jq>-2${f(Q32g3SvGmM+1g5mBPV)nr3DSTyiQY+
zsE;A6qkLvx`hH}&#h3-$i#YrcuhG*oYep!$z@zu1u7;8K4cyV#FJN$k8g)=%>jMXP
zdKCG7BAJSwe}Bh=251=XezYk72Tb|1?-{aUOz^qQT~I0}gZg}k5yO$M*X=%f63Qg@
zIcl)H7;3lZ+RhFtj$P+FHZQNAh!L#*Revr~3!hi8I2B@B%3or&dnz#Ar7Da2z<>B$
z7@k)z+HiYH_r&gxLN~MI;=NW$IrDr?xpObE?<Y3U03UM#gB3)y?W8+9!%784GCs}%
zBy!4GuDgBSBAH?ZF05O7DLETQ>pky~wCO(!P7|A4zW`yQbJ<w@Tj>z;L~LtqspIc+
z*J)yesVSn!5Hb%7FDcqG>B6`t?C^W!X^p+QVIbG5`xEJV@S?N*nJK*Un{}IjfRv3q
z_3feh$K46@OFtXZRMUUKd0bN0gnX}asBSC^BSZU1S~YC0`BOC!(P>J=tGLK$L|f#>
zAdf#jP?d0ZHmjv^;kc&U&~AQ}rO{q-5tF)C0>Ae8S(#u)>D_PwqXP=rBY`3wT^@_{
z<Ju|WG`9Ki5kH@)*7Y4Jk1p{z4Td2?b+bj4bDFwu-`tRc?jAN|qKpLF;n+W2Q(Zmb
zq%*HSRcn(bUp9xb%*y#}`}daX<iONp=9I#MT6s*P3X)GIv=M<RZ)wUKkZsZVu}1FW
zUUgfFLX;*S_E%C@udvBAHQ6_r$x35K1jUFKE3C;}Po6kORxY@ed-k@Y8XvX6{Hw&|
zKKm$mp+Y=J0qEVLWIq?A#SKPDU(I~m5(omf0Ip+utnsK2V?xs3iVF&4S-Vcv&;E*Y
zO;C4rpr8)|sDfP-CHukkn182nwSP_XwE2xJvDqDbQ1)>ljnF_Gc`sh-EY86T?d@eY
zfxEvm3p~D_QY*Pm0e)T;^V4b=CIm3dZr__lscFN^#00CZ!Vcoj5d4aR{$B}+I~17s
zp-%nN*tV*3H%CY-a6MSvaM|7}Is#4KE*b+zA{G+Yr<=^AcJob}%!mkiV?5FYrfa7S
zMob8~i3Ir$FWVA;TB}p)+R|iA-9uWWI&kV_0?wRFIW;ZfyxVh^2nG{^Nq5mSM<<F1
zV2yht>+W7^XldXYpex5qOWlojr=B8ru`^@wM==@dji%|9+MLEf6@P=RuRoNR-}VFl
z+HewqtMe^B6o7`{DOd8H&PX>8v7CZ+6zS$8_jet6MQPUgjx>#_QGVe+nXf7pZQb0q
zu4d;(E`AtZr?ooGdzifFSNgSOXLR>scckpsT+%bgF$WJd^X);*xai;2<<9wSI|b2Q
z5rkeFbE1-Xn)9K(nv|JXjw+83b(+rj2d%;uVtoCyuS(^Km8GA<L)^1I2i(W`K$5tA
zom=IZvOo}=7=H09r#F-zg6j%713&6B7u^)6R<FnI?L{t={K&oTX*JA<QiQNtopt33
z>DMsC@=l|X6%xGAm6=5(NoW?^a79~b>2r4w=NaM~vk?+GN_tn(niHruyu7{1rGHKM
z{moN|#616?sckRm^9FIAtq%|D#dh)6-*(~}FUjZQC8ce}6e7av;}0{g`%c~a`=+K^
zbt)_Gq6Nl&l%fytWrC}N@1C^8y^M$`bWbR@)oXvvod4|<3xoSn-As}a|D{}9nijl<
zd6(T_<gI$Z<wRXz0e)!%)sx-J(b&FxlMipU7@-jZH_{*_f^dE0!1LAuX3u?5KB2Pj
zu>wdKqgYg3)LQI%{$D$~dF~f1CngS?S#Sa<yDTeM>V4lcl-vX|d_gnn(KACdTH@#`
zO&RPOOc`qbbd4DorT5!%1(AeZxs7sh$BD<!$|YuT8v1OTI+5QvKKQ46E&Mz0J)TUG
z=Ow?|8$_eW#2j934N=d;vv>x`WjsFKU!P79r({cVM{5HIo~rJ0&k|FF*vrwq%2wjl
zB8D4lb<i@JgtYjn|F>UHi@$t%4b@L-^HF`3Ef4v~#OIi%SLvKf?Xl#FO8J3uJdGQF
zD=!?gl(iUd;5fXZ6~K7{a?akO=b=t);Ds8`F2huk!zz*ebX&DveQB8?Z`lkCPZyXM
z;+$M+I_EX6^EDoi4-7b&4n5@EKp`wF*D-GLyPUZ~a6aYDDchu6c|yE%U2b4pmu+T#
zd)fPoJf=Q9^s)9rE`CX^;ai%5vf=Sp#LtJ=Kvli)gnP#P??8*0%&>y|;BA>N1`hz3
zWPJ#tk=aM0Eybsq2dsxAg|;8M{&FKyiD4QYlXzTvcyLs&d3G$)Lk4{b<#jVzcFXPq
zl%~gnjOa!(>@=3sRO5oZ8KAn~8j8J)t>I--V7#To-Un1``kcd0>IS==;NyKUjc{Bi
z{WRG13~d@xJ_0NR?lgVqb+?~{wM8Qr59J;G=$$P6w|g4t-1};+Z$7pbmoNMff8HZ_
zi$&TmcFWcqfJ^B-(+i)J-tn%NG`6?KVqqGY72tQIZZA9p<prj}379o;k#x}uxEJrz
z-eW%EBZ>$u#1WPbQ#vPQqLX8N<yK&|%u<6qSo)IHC=XR7voSNMx9f)czV>xQ7|l<l
zpw?+4!NcWG>^k3yv%M*Co>%dK{w_y;gRHHq3tu!|OPp?2vkyrf=oTR|%t?cYX)z%o
zArRCTI~v!&Hhs&Z;NY;U4`sqQa)3z)xVV#ghcO4Y51n3vG8Glu{nwb*Kf<oq6%>5)
zNdD|Z&kbygX{FQB*xINuEEkM#k+NS(R^;btcbpjLy4RF;+slUGDm@+SzFd(*Gj8zE
zz~-zaN^qyx?1&<WDDexmgI0+p{lu-*Am!{R*GD3BZ~eqF&8c@H#XOQ($W0D*)%zTJ
ze+3?g=(~XE!?EPIPN3RFtIm+*OnToZloJTGYH+P%;Lz?s_MVjG%-YIIP@rsq9WNms
zao#FLNuJS@+kBijiw6@4%9atEjK*LcA;bN4z7QymfcOeS!AG?fxnD<Nk|7PAo4x_7
z@6027q_*W$o7+AXHb{TY!*frqSA*l{uQ`FbmEs<*k<$_2mk$h0OWX(a#YUmt7`})y
z0O>$`r?;1eS(O5B5m296z%K9?vOM4IizlW^nLHw-#2gWxau{MaKL4xS@_G=C$}i=k
zQEgE!2$hoIL#+Ig<(tL}W1iV6nBK4YID{<LzHcLZwrf$KQi*XckB#@q+K0``Hx{h{
z1bdeK<i&%PGo{ZKkPANXMkdI!NFRNU^t;8NSdB<UG*YGL)vGX~&P>@iaPqWi41|~Q
zInb*u#n&<l%bB2V;10&3>P+IJe)Zu;6q)2|5$lh`0oQ@jbne}#d;cGM@PoAxLN`yE
z(tR?X-?OU0mzPsfJwrxIM(G&c2p*1&eaCg+0YEr^ly(cN%&pe~ETT_E$c91Mcwpd@
zl9Cd8X;BdlXq_<yLd#^XV{<6et!ZvSDDhU6+OTmy;_|pPj=%6Td!#Ge^~m^<+_r4_
z?-$oj#+M52VTOb<L@$h<N4kwKPb^wukfvDHU{sJ6s$_5x!6U9_zaF~OuA*aupfeeh
zM1M9${nV92z~MrZHGWN@VDKlwy@?pZc=<kk>A(*?`Z42L?19T@dg#dmHRfWfQXltF
zX5qCNA7Y9|k1<(`=T2tWdZTnKJY>7nvBTlLqux}=4sDv^pvWB`_omlhZExXjWV)=^
z?b_Phx#ajGZ(-*BLe(~o`1mB73$eg9QLON&=wRioY(<TRor1yQC<Al#jeobF8xL_1
zu0$7HFd^L2U2-?7TO2X2y`M@uzC46qu|k(w=<}IR3_q@Rr%6vuO^IWeh;m~JdmStu
z1Kg8(F~dgv0k}x%KjjKih89Z7%j@{>GGOVX^eR4L*|HU?T=O16B(qs}OGW!CWS*J+
zv~P=-lvt1;LDrrXpNfq&E7_6)&gutSy^cCC$?Q<AecpLv=~!&oI5MMc;EF;Qb9%;`
z(fBo27DM_H{TPGmkZ-huk9lP^E~bvR)wc0HXdn0MT0LXGrF&3HVA%s{U3+ULoi~aj
zP_x#O_SJp|abcGfoHUJYl*N38IYG0E`HWKRd#s$zws+iuqQzdw#?A70RmPgN7Q?Lt
z#R2E%p8NVWwKG@zQE~4VhL~QeDh8}o?z7!<qs{Mo2)`12A}PFo+MJ)NK>Hm_*~$rd
z@TJ3Z{;Vw42QbuBK|w(d{CkJB?0@f3IPU$stpzBeu(?CBxD8u~9P&yG53ts>0{ts@
zL8jTDeSn|qcnU-iqX~(Lu8-PFp>?pt3m&R8+RR@_3Z9e+(yf<VDvr5hnThZF2sn|6
zrMFl+t;Bim+Q*VT!;VO^p^1EFOxt~~$7Nu=zgKp`_F*cKYS4lZTVc`+-M0j;=LV5;
zNn8jPG88{KS<hANE#OYnoF2A1yPMIy_N<2hLqI|B@m`uO8@>Y@BYJHt13LBIot(QI
zdX=@Y>vVaWb}->a+#~OeRHbh@yp)JqRt0voo{rd0QQ{4I-eBPVea!)dSI{_yU|J>$
zI-hO^`)gm$_=*rdHxoxE=N~j3xwlibF3zoRk!`pA`AZ2ztZyd1i$s(99DEQ|@Hd;K
zv8P9R_xsU}sxTR<lZ`NPDy|d#tMd;@wgBp&Q`7NoS_^jGrXm*{o#}A_XPC){lF_|%
zq0!ymS5tH14QQLhj(BhiuETvb*xSnq-Jr}X>=~Q5Ci;qG7P=d@kxDcT(xmO|>}a!s
zmX@ZBYc9|yaKh=}-b<g*aZeG2sWk#**#E0Yp~Z-3q0GAjS+8`kzh#6XHj}@X2*k}6
zWu6Ck(y}#HGL;F<{^|8KYaJc&V-E><-_~|%3MEkrZv?Q)B^IWQWZr&+q4DkOHJnXv
zQD3hcYN+#|7dzGC;NM*>P~^qGH;l!RH}<}?v|?nbBDDG4?6p283K!;ib1HtXc}Oc)
z=(<t{AA@^;a8x!NaI%>-;+QZzb2-(r&|+rS_Ke-psZq-w|C2*wC-6iT1|{ZC;%{45
z79N~HziE~QHe+M`)6EQ}{ix$#uXGz)&(;H5Yo6cvU;C={Z-t5d5f4ADkco~b9ZMW>
z*J#allv!Xo$8QyIx^gOvBRW{k46~Z8GUPoY4$IaJRhq6vy0N|a9B@&+*9zy_rWKtM
z@Ehm)3-U4%gMfcXk(eN%Zs9E8ZN7~)R5*6$GG)i46M*NBust9Y#Sft}%Jki9*noB6
ztJ`#dPHvbKu{55o@`*kRZLT<muMyxIq%Tl{kj%(TVouTBpDqc~-l4xO$GLE%;fYn3
z<z^ND*Jm%}uzi(Iw8r6O)XMvW>y7C03CgM-U0n*{bQ)vesi{@HK&a^1#;V?p@PAt0
zUP}{}M;i7m`YBpZamTEyrc!NN;G)=Q@bzMbD?$~s5@lAH?akP_NBri&ZHIF9x!~4e
z$+O2)kvl5g&ptJ|%NWJIMAUvx#En;%G=P5g=tLkWD0&=dS#5f_+*EH4U6D^Tu3f*r
zQHSiIvEz%CIrjEaSod&J-nOwSZQW-8Bf9{%s6G08EN!Lq8L16Q>%u1}T9Q<sg-WIq
zpM#6rP#|FWLz|O=A`fy^dPLyzSo{;Tu_wI)TM6MF=yD6<n>chvitXwUF?E_rWB}=<
zm(zasN7n+~(y1@bDLLoyF1sHr=o=1IbNtn@&byhWGD!HVWWo-HOz#ilFf-e~`Px@(
z+)0e_*Ks=|jht!8jZKmvI>I2cmlS{6nV(<Ig;Prg>x55nyK;5bs!7JV?r%~ySnrhG
zs#J#tM-|3wxAFak$=`<rtj#n=J=?thSu|FfX8H*28dnaz^%3;;*%S*?>S3u20{3gn
zADD2OH_O8P`;UTt*at+0sPrWNb~Avx(J<D4!Izu<Ols9Oc@l&L?<A7;O_CaIa{=ic
zCV6fW@pca}OQ5Ltn7j_5m(-7Vn(M-LpD$$b-mjlt$|zyd+5~!?G=8_ml4O}_xtIUc
zfXU9Wa|~;6k;*9N-M<uCFJarn6L_04Mfa_~%E@?Tb=3S7)yQM*m~kBuh4z+AZSnxd
zyeR2o9`Eh94E6R}8}^v8Z$BeYD9IGOmEG(*OEeJW(PPS{vCnouF1)w?rQEvSTA7?+
z^WuaAnF~RCS$Dq!^|ADOn$&ODT;5rqs}n(XWjrtF_)s|6v5r~Fxi{d8!VF<(_=I+u
zJTpASC`M58N)>Z~PYid6Yc=RP#w9(^-h<URczuCffERn;Nc+OToX?Cv)O&EwuUmSP
z!vUG_xVBD+p>ruCOKZ-PTr>3Q17aS2ItFPWHCj6gm9m+qj3-)GKQYF;Q=wI2cfmL1
z<752=D<5CLI;WwE!Rw(I0;%^V7{+uKi%3gr-&-P&<M_tD4xlZOH&!cH#k5Do=LMgC
zXUy$sy}Lpxko$7(YmxYMOp#y5CR^&Ur|e_2W)F*R?|8afuRNPCP3M~l&6kU%3Mh=x
ztEsn_qn(C`S5|jDnHwl&*z-2n<T8H<M4!E&R&lfzKfbeg+FNBnk1K4WmahcjKgPa3
zo=5cAnU>F+7ukSAI1p6t{|2QsFFqCV{U`#zbb?n53TE5<h@10k^NKc>i+w<vFf;cr
zutYGbf>F>jGn@5{1bd&!(Jn<0V!B#o#Vv<ca~$V5honY_zf}pI%w1HV=`WU}@r!FB
z5ewlswmCivKpz}*;^Apqy8onr!}gVgBEo1Q^(<`aczvl;Egw%BuSE~tj2hWB^+3Cc
zi^akX{rOHxqpb7@6?KL@b5S#fOtD-Ve<VXOuIYRa9AuG01PUAq-aaYl;sdF|O<Q@@
zzy78uS@4MSt6To(oThaq(khcVn-L5<WmJQ&P<19G(N)xvJ4)CT?~BY090Lx7m@mYy
z4Yf#QiVN&RlQ3s{Yt<gp5}9?V<srX{<IE6--}P9N+(<|XMK^0%PzngZaJ*Yy17s8O
zcVtfAR1uJ7h<30AEp@_XDBKdAU3>G#JEPzs7Ywp*(cM(G<trFoxzdmXe)g1>y%wSZ
zwz91Ms*b&h5#2MxNWSd_c8gfTX>rt*20DhkynfpRa8-)|PEsru-&!ac)9B(SHxYx|
zjS1(ej69@&7$P5>zW6Ub5M%I_^i#p@l8>|uc!`^ciO6eMzI_=JQ;cKL3I))5`iZsp
z-%uODjPJd=n>=XyIfidckF?y<728A3mo-Cb%x~Zk=ZZ)PPLw!!7Md1DX7vIvaegpQ
zP8r@4ynv6fq!M(MPo$#6G?J8DD;>!rF)89Sd!J8;C%p1Czm(mFYWBA%sxXCaoOj>9
zxd0d|=U!RKhv7@`$N3$Z7Lt8G=i7<B6WEY0^O<oRky2Oh|0qZk3E&qvAc;GWef8{X
zDxncR<KbaFPVdH@C~vO5i))&9MZ12ru`9NJ2Ypw7NyQn}Z`%zs@7$T}c~=nEiYn8k
z%Qv;YCPF;x?QSeBe>BN|B52QMzD~qiA}B0;zbGasQ10}?pO$%?^=j36r9GIg!Op?m
zgV++o&u=0j&g|@6L@M@AA4+8fO1~^*=xW1a+m|RU6GnWlN-W6W(ehYEh=NkX<Xmuv
zmI&`FZJ2Zj6-up>bx(<|A;$~(<qL#bJi{PRU)?N$>`V_zSO^Agnz5Fb07*5)jFcp5
zd3hNnt$>w2Cv-prHZQa3`O&-DlpyXhhrTI-38e(~Jw1j%Z#9%ZP}8F|^Yl39Ywjr9
zBOwtoCk%v~MLp?ssqd}VpW3YKl;MIb4u#rBgg5JvF09lGx!V+bYKu})Q{RLnw|LIm
z4s5xNSA5OAYTI4dKO}H`N6krGemM{-?Rx?5{*bH<j)9*!%M_ArWMAnkl$u9nmC1vj
z_hT@+pwpp|vW#^dBhbj9Jn{4tcteL`Sod)~-9w+wEAdTk*X+l%ypes)^Yo`=qEZ(<
zSA#vO7=&ZuCaEf$m%3Vpr5$;8)=4LElF`*q5$8Fk8{aFXA(ZME3#ah?x<v=szl%-M
zta}Hl+bD^1oAou1tUFGTjEt3mAALo|HN8&gpNoq6OUrhV(dX+h(>JF~-J0d!UKg_Z
zT=4rC9p6lj@5T-cm=uve>n86Y*!gu5Y_g)j9N75;Q=C8HTkNRx2;#aGb>|jDzzltm
z!xJm8R<PxF&}Qe7*_ZM@C<tEe<(8dm{R}Bt89`=n7Dq>qdp~b2Q#AMbLyLUx1^v>a
zU_n8l^WQl|s+8k?unI4bQ&<qGi+i_3uh8bS0q@6LtQpsn1|!TN6nPgn?i&jk5<taN
z?@{Hw;Ine{jCQXE@LtaGo9S*e)z-g`x(}(a*~mB-YsrdWNu&dpk;*|FCC2j^Pzpa<
zs<W;aVT`oNLD%QucYo3Jr{^z6N88U;gQ+5nqq?x*uf0flxC~;0&Jj_gYncKM>#?iZ
zv$)vIuHWAn;2FCGEbi}=WfZd3yC8;P?52z|8U*56_|?1YR!_1an;LSx`w^^@dVax}
zDQF9Em&K1{M(3)AQi<kKki-oI)7bZZFIXFzBj+EUZYkgL9mVOnU@R{4DAUotw!6Gi
zxlfxXJ2O%LeCnxM@ntOkiB<si@qVQ$1N`D?9Px%QB9G_a=~=usdM$yz9md_4FJB5M
zDk}1!Qf`OaIDnX1ylz%BHGDhu(h20d#LJ6{6n!$a)YXqjRmSHLI4~uqA85RKdU{un
zDU)$WV;al$*%=ulc#_j~X`sRM=2TY6(NjJL)io7uf9L6m(0aR>i;BlMfO62i+`hrl
zgS<XsKoiU-jfNCEZ7*xTtCHa}nkKIs#PH2}<Ws`IWM<qaIQTx~(qI7&xoaiKceeNo
zN5vb}LT`&Lo!Y4P?F2J|ceX$ZBULWMlO?U{1{2TDd?Zrqo(LfcMjyXZ-sp8z)}k_e
zbw8=nJt*cKua*K)aLp$66)xhx!Zp>J;;V}i5=^yF86T875Wq3{^iy>CD*cqqtjeXm
zQUW(yOpUTFRNLwzVBgwD=q_`5Fo{QrUfgh8vTuX82@t2g(0+%X?ddu|CzahGf)YO-
zzRjGvSs1vv!98X7XDms5&XUr@p}(M?=Y0mZj9?WV^YL88hig~y=BSC;38X<z28P1A
zvqzcL7=}nc1oNY#?Ik)3LeWI2`@Ca$?IHY~6SUNo_mpHj3|HtjWZHjl&nPeb`KslW
z;lrZ^qF=}8CNozBpdI)3Qc3^*NI2VWZ;2E$$!Ue*--9SNg8w%bJMH%E7qgZ9cdNWj
zGwxXq$!}%V1>i#7z2`_LNEP+Ezqk^P3-sPCSgH*b?X@yQmq9f?lXd$V?-5rRD6fl-
zZ8Rx~|E!d`yZ3!Y_JTOi;BR|7f|P-bH~NmPeuG6d6Tz>A9&!O7PR}153Q@@pqJ&4R
z#jquwZyPRQq(-Fdd?Nb0L;P%ioWB1@dniP~TXk=!j3sT-&ZJD#{JpsB8T5Y3<Kli3
zKcHFCxm!MBw9wu(&RUSpQaS*ky-nrM!po;SpVPaeFQplv&9?DrK^YR|G8Z!|nfu=e
z;~@cP3(y6>UQ>_98}>*3#8B$N>mydi@<KOPKp-=Q80d2HL9tKZOs&JGLQp=H+uC}^
z2o-<yUK`2~PCTMBtg=v`407tUmoNl0?DJ=unn`~iUJClQp@YJj^C$im;Idoi$BqRE
z@IlEFLhav19G(n0ZsHp*8g7ttQn)#EiW}r@s$C^xg|g};oHpxJb01uhNW2XrZVp_w
zPhR^=hyj&2i(tT<pDA0xvx|9~?;AiP?*7WwpU4E_I^I>Wih7lbJm1x+G#x*8_+M0A
z<9A$LygspQG**)|wvEO~qsF#v+l_4-jh!^M)fkO!-Feqt_rslkV9u;Fd;j)+=oTtT
z!1A{W?xXN?+E1(Aoe~Xv>dVg=Hz-rPX;hy3@X@)8u3-s1b*}p%`%87Yrn(3jugV}u
znCf<0$-0-&AtRhxZS@u!(_(=UwSt(@S_#68thMh!oM(g+aRy+00uhzI-03SWc@84l
zUlKW#a=%EVu|>N1)`o<!fRh8wiI~ywtXr@^jHJA_br&(@x5L08doR!f&tFVB{^MJ@
zxDd3{&;2^lDq&{fr1TZ@h-j=g6Pm)IjD5tyS*M`SgI004fm+vI-MT7Q9W*=sl>Z?I
zdYL9CAy!$P6Z?`tSpHI6UA5SZ^#e#G5*VME3<iLHxQaALLVK^4105De{5brwf)DxG
z@F1wZ^k%NA_{xq?L6&nfeyHa-o+@+nhl}B%H!eJW&-GaVrYALni=Doo65o}R&DUXi
zv&0U}-}sxci8`tjM&II2rfpW7^byQi03zU_d7)3nh@O?cGx&@VCd_2^gn$oyWEFVP
zeEuWa%I>w4`o)QGIevIA!dq?dHalbJxVC#MtHVm~wx{P>y3tL@>H!+ZndMAzeJmot
z!6-}!Hs9r!m+2L(Cw%alzBGbSlE)R1;dXIzcmo`hN$~RV!2AxJJO1$b`IIn{Zb6<Y
zOUPTP;vLXWJs{nil%_t>2B}4__^W8M-W=nAUsOs+y*qQ(F>`Y+Yf1vsm$DqrPTin4
z*U~p%2d{xy`Ku@LpFe*vfDOoPeUO#xcIWl4?PKB97`wL_$OjFlXC($^77UV)E$6~-
z{Xc=+*CH$-SF>?y;b~a}IDl%hf3(+X_I};>%_A1%(3`LI9w;&Ffd0Brhy5bkJVyvY
zf@CF`Z6f%0Kjz3xz;;=eFaB(o--?G4os_8a%00R_Fliml8JnltEh!bm`57GqX=!)U
zdJ}cdT3GOZnPDO+sa?m$OhKkP(zFJR7TtSR5^4;uhcDyHhcygK@XJ-OO=kZRh&qkm
zE@uSVTCk!Ch^GCyi=<LcDH29O8{L<xkCpOfgmibAGukexaC^z*e=%B?SD`X&X&<Ik
zWVL9|B{HV|h@PCLrKW1e8O2Q9H;E_FnZz5ri>ZZ*D7rhDMOMfN5tw?f%<B;LPv%jY
z-dqD(E&u9hWyFG4mVJL%Fny~$FG_j}%RXu&$%g=}+D(W-=Vml^SXqd63lb4Xp%W$I
z$O+jFf{YI{1<_mev#~UFo%?2tIGL}X8S7`Al_%Y=yB^!1T&p`VMZQhq4CKU4;pd_D
zu%e{bF;44tQhQ^K^ADU}8+Gkyn>e2@AUu;TG3`XCbuTdhM_iUmcgyRF=<|p@DzXkl
zLNWG_@0*zMak)MTX){^tKh?mpG-|(`X<{TKe$fsecjP6i=sd1~JueWIjLYo5Anz%;
zTK<EjGGw@l)yU+jua`!NKXfK_BVh1?gz<436DL3biI-8XZY~xo8H&rpkb#Ep3Js`8
zBExy>w(4WUBQO9MBK^)0T|wN<-(gL~5bORSY`xz5G3vdZ1?s$Jn)34S;=6IO4I{pO
zF2huaitw|elYq0ZXs7ud|F}EP#JG3wo4}L*01LP@Liq#(V1>ECM;Gv2rLMFO|KgqK
z7~=cM?0B6{*G6i8sdGJo^}GtTPPPG<TK$M@du)C8m6(UvQx&eo3DTp`xKjjw5U^5&
z!%?AZ>WgmnMKaE3+!QO{L9R6Qax{|tbR4H~vHyXx`Indwzx8$R5LTzf3Cy70-ld|N
z-1I4ws=Zq(i?*UdSBln6w5cBcPkp?&04Kj>pAPGNpz5r;Ge)A%_oRAYdpmXn=ONvH
zl_NkoFI={-pQN0^>R4=^?Q`V`PJ<5zWM<<5E(3qhA9q$G$cZO{8v!KW<%-mQ5khVA
zc^C0pD(gyleI@vu;bhCo&WWnL4|iz1cQc@#&FlE11dyN)?^;enum0I088n>qmi||h
zry^z6@%1g|p8=4|dw!>VzP`(THFUMj&J$CX6Au!5m;SB)SXJ7QUNGE&%^dJ3yM>nW
zL>6MIPuaA%?%rnxm`FHzOOP9}Qw-Ynl7c3BY(nWY-djoEnVq7m`FX&z^A3z#?R9p3
zAfBe;w96Z?3nrq;(-6s_q?$9Oh5@LgZa8^Wvhz{2IFRU2Q&l7LSyO6ZC4%>ZKI7NL
ze?rVh?Y~UhI}^dM3I}^!y<l^)Wg>ti|5P<ww<vz=PEp4SoB-<TF&=B5L_wc6O^z%J
z#ETZSJWj?8Amr@s>2#M?kP5PXSZrr2;0GDJ$pQqy7LTSD;>mQ?V?Cg$LXXSIe5-JF
z!dBZ3{zL|#nva%>h7PhO%z}|n4EEI))5y}fL@xrpvMsA8zV*vAsmF<!_O6z~U9=*D
z!FnuVr-LELKji2FtufwZN|e?+`$sXT6z~HoYdUEPvS7XH{oJ4ao%hvf))w(NBXQ&D
z*8Y_qfB^%BP|k@B=_g0R?HY_Z;W)F%;`(`nD9XB6>7DAtiCMk3oODCSu@;KZStm?*
ziVXzO5VW*$wQnZ<MyIEr)kz0$<6E%-nl!P#2R=a?0kj#5aYybtOC{0^+79?eGr8V>
zN<sBS?ygeL_ArQ|mWV@8n?BuQHu;r(r2`p=S&63RjG1m}euw_4*5jquCyts{{L-~z
z1EP98t8=|{>DNP>hXq{g0KoKQk-wLiY{e<gA3H%rZi=ESTvtb5Dcw@=%H(myqaBNc
z_L^?-p9(Lvwz9IWI#AphMK`P)B~Wj*t=2<%!SS!m*u?-$?#mX;UH|u2X#xPRbkqIM
z&<h&f@}f@{2%vEsdc;ktt$ZB{5T@oCUtW}#xm)3+mTM3UgA^k!j$hXd?^(l6)11}g
zWg01*)V#eN^h_fe9SkZh(z)!QWn{!SIJIg?uJv*?HBMg{Du|3(^q^Z>{BQ@2XILb0
zV3Wcs(peZbwnH~U*_Hr6RT3+x<a&y^{H#2h&LuX8*J?7K1pp&J2v#Xq?EPy%fDtg`
ze5FB>&LR_qbx)&v>>Ck!#Vy1q_MJ^b62qMN;Lup6)28A6cB<L;Xk#()cRxELFZ@Mh
z=kmKthORW^hWREn8yeG9JE2X&=Ik7Ss?#c^3c^q<(Htex<`_&%tI*1Mz!Mi=#7}x>
zerKNbRa-IKeJRUkBOkM*L1*99t}82wfdi7pGo2F9c$q&Intd*;d!JY6x}5iLJG2tF
zA{snf%%6i5Pc{O5^&;^lFPr7Xb0HIjAkH$TEc0Uq8X;>M(is}4f99}{0Axp83Z3~6
zGSh9Vx#$iQb|N-AJo@eG2@W`iIf3-BIV{jP@`M4kn+>Q}c-P~WmXO{#)xK$+=t%8E
z*2&!e!ZFAS(L?6XznH?2*9NE~fc8g^Wel-@{OTW4=XqEJ9PeIITf2%dPFz7fpATIz
zqQG|KDh>(tJUbyMK)D*RGg4PnIR}?nN=9M@M3uLop&rD>te;OkRQu;Dsqy{%+w!}R
zRo{n@-xGE7^@??lW!-m$n$s$IkvUZI-^cQH&bwque{UU3OX!r|$6HTF3D{Flov2Be
zQ(#F;cKG5qBmglnAoU#`a*iZ8ESRaR?b13-6?_&&fRD@PtTj))+#r7vKeFr8=()X}
zdqwdPKC%lfEL9diW;!-^FyCltujn9d@i5EWdJ?h<>M4XoHk)P4n~Ebh$og%mI?eY(
zitoKehjjf&0S_a-!k$MkFEXZwc-P=a=&8FoI8=~m>emG6oQw$S`P%cvU6dKjk=kZO
zC8Q?ggKP#LPueWq8Smf5qdhxw@#I>q=1GZgr-kE(DgVtvk_)DF4bTg8X?BI2e^7$x
zirr3~!i}ru?TYXtABgmxe3c*knakxa``NuZv@?@^DEvrrDxW?w>RiBIGjb^;C^GdU
z99e2;WoJou9}*lPCq7S8@^R7Ui+^f$RIu+(yT#qAk@f>7yx`m^fqUQJPMV7S$G4j$
zC=>zT;komVzb$qfd{cm0pgScX13@tSfanb2ub%_EU7d8#58Z*E(F1?=@0k2Wy`&y*
z+{tX44$y7lm69rOR}Pl>ss|V#%G`ln*^Rn3RJE_Imag6#!STJXWXlBYaqNEHe8lkr
z8nI?)BZ8hkdWSL<B~+ai5GQwj!ZHbI!1cQ3=Z`BUg)H99fy%WevcZAWfI;l1&4m9X
zW%j(h+SCdyho)v?sRYKyFAQi)@ouyH$|`BHx=xWv%4%vU>q|>12!PmvzItr<rkN>7
zKi|;6QVoi&A(G?(gg`;VQ=tDDD6k?UF;S%h6fAtRwzdWVC~9l->CQKmg0V3>X@W!=
zA2m5D4e`rCIH9v>@fD;7*LCFP2IY9$U(_>|IaWYC;Pc|Grov{!cG6bf&_n>Wy!$V9
ztq5p?BGqS#pO`_zd7q^HA<9x(wfi)7iw?@riK2d2tMz9}K_aRFX$~i`_xDF0B&9KU
zthjbvM(u>ys_jiiZ)6ZXiM4!Za#xi7*e&oEM8V6x4|srVI*;{Td=}!_(-lT8hGY>x
z9>>uMEbCPc-+4sqrY63c#1IEyTUzsnO+JdL97WV92C*G+5UiA#mrZm7MZc|N)&&|h
zd<tV?5n%BAd{;2zDI_G8-mg8Jv@>N{Qju~PPn?&}r7`I5QOIKIZ}b_40sip-Bz0jn
z4T<u;R=}crk!g2PTrSt*^1A62q3ane51C1hrR<QY7(g<T<V8BzkwdeabGt1K4rPLr
zzNaO}jy319FN@0z`{;KM-7ARW^qVdMTD+FD*shYzEO>E8$0PD+YZhb;vehh4C~Xj3
zT1mme+5Izo@s5T8A61)U;}N|onq0gwK+zIR?ZUI*em6~1fyiu6EI7+Ex9Y%>b2)Fe
z&ECW24MC%F!vW4zrhvTBUPF9pl&y2S5}|?<{NoHwY0ET}l>C<!6mK8ts%ZqQiFiV+
za9CWEF}+_EhotkiSZ*i%DJ~+=j+*9@;IdGZjQ8@(Lxt(x`?A$cqbIMhemvi3ZG;pI
z!me=rThW3bCcPV&P~X#zhJy*%!x?XiotG_X%&BIe2qk{F)a$;YiWE3zD5NQ84C3EI
zK@y5Koje_~%geE7JFVs~*s+jbA%Y6!$<4*?kFOZ&$H@(R-*q{@mZhN*8T<grzz*OU
zHH(DK6VJzp(vD&%Xz4q**XqbSc?R3k)3^lK#4I<qKft(S{l!EjwFWCbX8NArLy_xK
zYce@3nTqU8uU?63+m1q^mL5x6cpo|p`}A9ExOiDZa67r4WI1a06B}M>J;4R+O1Ysn
z@2L!t6QYj&5BBM@h>r23CIqR5GB_WJ6*8ME&iVeNc5OVgJ|$+xf&tKOqp#eT;iv4-
zOQ=_z;~!~MB_JGeZ4BwRUNuN6)UB#1h=#W=r$|cy1)iL}HwV6-Y;OPLgv|tA`Im?k
z*)pU4u@E8#XQ(1H{mm#w3d#KP)lz8Cm6t)6U7Jzc$7JKci@Q`l8{YefC~jD-BRM=a
z<0G2EKwlWt81)<EQiI>FOKQk3DiTXcN|O2ymAm4M8)mfzl?<)#mRo^r_OXG1f!dXR
zpb|)|9S>Z_eYv`EqJ-0}yEs2z%y7@S$R+Pl<`&0T%>vRlgB?F_4Sul;4L!dckagDh
z`Q=5(7dj3ti5?XVzta_@MyL{YNHt-wKE(n5_@MGe0(yh5kN%#1zQv_(`cf457R-N<
z4QN{%5q=)I@o2CdwukTs2lvI~BfF!U55AW9Ji;S~_O;pf_txe$i~Q?m`09=PxNT!$
z7qw8e9Fh!k2?yAx>nIGwgK?wdv9u)5wSE~y0RZbm!By(Fn!f$qAQa}y(%!9&;SYhj
zpG~l~^G9mB;JsfwyrtIS^$!oWCC~$*A^hj_k6V&4cM?7|4m|=i!z4l<3CUHcJGsl1
zxOU*488&^)J~_dJI6Zt^5P48(oGJ!*l%_!M>%l|+%?wShfOHOxeh_tL(*QBr%wPW_
zko{|nu)!~+slDN3nA(Encx4n_6^Rw`|F9*NbI*#RB8uGfWl#Z>lc4{nY>6+~Pc;yn
zB-8N@y10|G%dN|ZZAoy-lTCKhB!(h^`xgVQ$j7Ns|G{H9SOTdvdrhO{39vJ(xR+o8
zcXqt1j-GFNpEuKiAlsfuY?te?_JWNs6cPEA;<En?jnvKXt(1a(h>QEDfCi5jOKfva
z#(UI}8`pO8NF}8R@gSq0JIRY!pt*fgmqSQ`z{^CG+dks?t8kU$EOeS$W&5h8FbYoN
zyHarS`yac{jF76TUVr-s_uTVTJ{b@X{>5we(>3qFInxLCn*+AcoVPT*a6HR`RVbzC
z{1uva5EgI$Ew&VSqza4-i%cY%Qg8gs((Lib1Jds1%GR4#m}r>o?U#%mjK-z<)j~ti
z*)c+SH~Z#3v)fE{_&8R+MRV(<hEdx$4zz0whvnueggU+OZyCQklEw9y0<90XPUI(T
zh9?@@%r5l4@4NDZ+y^SIOoZ~mtMb?kY0nsdd-H<{o7SD#Lo1s5{a@&_kL?*Dt~;xq
z?hOv=FjWRfnJQU?VJ-QXMbPCZr}0H^ztYOaL<3gHwS<nzpE_{bg{!6nE0Pt!Bi*Fr
z*pxS8J>N)ZmK{gb(6WRoAaJLo+}~Y0*a|^oFYI8lSUBQn>mCdyW*sLck4zw|bP;O8
zahBbKm277UYv-X96*ggbDfpsA99eEf5TITVps1K0v`iF<Cy~rEXyK2h5ltx;T=OsC
zxr{8IrvGM&zBzKcL3Cam0>U2qFZ=Jk1DH>|$AB(OGI)w__8otlbxkG+<7-$D$uWdP
zB050@6v`V*OAna-El2}tY01g=21Z8Y2Zx99hKF0n?YhmN&ZJ^ctJjAY;bJn#An;kg
z#%#0328zWu0!3g&I8P&Zb-jcTIYV=M?*}id6y`bNrsXD0_+NdW*WA&YuWv6x8hP%{
zrVO|d3lL@vlVJ;10KBC{6&H+Q2QxmeOK~<;_dO1TE6cw1znP@SGdA;#Kqa?r`$JkJ
z9T|JaiCEyOixEnP-jxoH*z+iQG;(H-iE4q?V%)*LvHsnNaBJNz)FWfJw@0Qpr)hZq
z7&~}VA|*`B3|u>3*tB45uJ!NuL{#KnI%e|XQ$490V!qJ)<BU-H77U!2n3{At%8+qr
zh6lg8#+{yJ$GgY%&5f<6URFj~zteMQ@4M^#E3!>)4mjj;a$^yFW?rVz?YjLQpxazZ
zWi+0_q8nkO$>AXM<&SOHrr+AXKKG+UiH(z(@I{k>S#T+y1D)6yYo1CMfBk%`!%CeO
zY=jV^B-;t6wm<~B47&JWMnPT-NiBr|0t5eAuqRD1a;o5(RsN$+{LcJGH7QNrVR9e&
z16A2K)z7WN`LjDN{+%O!+YK(0ZPhz`<-@+ri|9Ilo>eh(maQ5c&}LY+D*)-Y)fgi>
zvt-RQXMbpOS<(z4A+OzIW6DL)AZT>L!va=0AWO!@Pme`w<Mu3lAVZ=DkrVgmz{GI7
z7xhRP31Ddq+=K5SLMsXiMLv$Q`i{WNwbkLDlbf7=>K7lz>N+tKHR<Q)dM1{x$_>!y
z>A8h0zB(>%mJDybU5&s-&i8ul8m~jihI1RiDKwZ;E$zOZISg1ozCWPwe(JXcSs=6K
z=(x63)2HB!YNE4<87ZNPLl#SX$w}wynK);DjhW|2WM7(CkN9dXb%mR=y&dQ<ncD5n
z?VO2I{ug1%I~%^hq}#L`ZO4F=?EyER?ua2Q2c*Iu&Izj*g}J+IthE3Imm^$cL2uKJ
zL(2ubd-3v33AAbI#+?O@X*;!5RiS#x{acnzdmU~Oj6FWbwqYQQO2H^Cg#ggrxqh|<
z!jUssoiX_}AY8W6v1B%}JkqwKz<a@jRcBd95Q<p*oyhT#L%CR8HZKoD0YoT{C_@Uy
z>eJjxeSQp2zz-Aat@6`(vw8&u7g~l#iD4nO-}FX8aNxN^(V)(ueJeNqn3eEC*)%4@
z7#p+JeR8N7nyj)n4~(-Kewr7{=<>Y4d^^4QW8Vu_Z9mD#);C<5{CV{Y>(t8cV_1iH
ztGjgPs@S19H-h^y`g@TLKyqjVOt5sIL2tTe!Isg9WOCrr4;QyjIiY<GI^_d3+&Jje
z62(#HZ&iXE<W6FDg#IeFEw6Lmw3<8BRaA_u*PAC*)YV&t_pT?vXHvs;wLo#x3mW%m
zvjV2RYbSc3!VazK>KzZqJ)^U_fGIjN1@OGgLqf>B?_BJO%<>Wv2)`Hu$A7xfovfw_
zgzz(3^SPTeNkg)x+ew8sC6O<{FL##yHp{g&=koRt!{UG&Es@9nNJ4C%keDTXaJ@W)
zY1v;(zDD=JAIzBfEe{U-Ws94GBITqL)oU>4Fx6!vdO5~G0YSh%zq3Bj|4$3R%RAmi
zQWXgX=^IX}XL$Q)_O7$0d$|MM7K<Fq6pBG055%8&;`X*^&d8MV@`1%YabrjX6QhH?
zsB6MDIa5qsuiKaSL|6aJ_ItZ?$ET-SE%ZM-JI5L7TUEV#x~Rg>55HfNHO=gaQsUFo
zQb)HskCjbN5^;iaV(OT$A(FZOP9}G1d)^#2{%4AU4(^|h_3kn+O=yecdCsF<>H<7%
z+`+Xz&*9Nzp~7;-JR_2KV2OfjnzM%`Vg20q#skux6aZ|f3YM)go6-R<%CGdl)bhDf
zrPBjA|Kb_A=;WTdcKDgK^i);RL-g_kON$E&S+Y$ZKMe0l+D~o}Bzf+o!j3PuT)yOd
z9>HMO1SMeWE)`+)PH)J=P@xb*nhvFeb+f!ZKqbHpPf9bTcjc^+k{yU8ADo^X3VE9E
z9GMm<<es6%=za$AWp!>$Fdz1eQuGq_7kpnHU79yhL+=uMYLGmlHpznCJhM&}rAC{t
zq}BH8wsY-0=GZNU3r2R@koSV2<tQqKO6?;}Oc&~}y>f-@fW=g)o%wtfGY<qKb+b(2
zUBKS<^EfhYB~+LF5+<ODcSV4oRe~0!+j^KA7zDl9j-wmLG_~#_ypHlyq{CBpOM9YA
zzsaI@t1&RW&{!B6<R*7s4j6(9ogu>xud?TM?z|ov)_rslbpo{|EV_4|jHfw#)OC^a
zN3+~<`TgrveI<zNLanTpb?fBbAe%Kj`Qg>(zHt@bqf+|4T(Jl?f~h?H4j+B5<Ui1I
z=?8bDnhs(0N+vN8UY`(U5co@P#{>K4E67}7_U4yJ4F_@A<kiS_=*BL}3$8J)2$#B7
zS$pyPB!3EDAj2jVsa4P?nK}?+^n;k~P6mw-!W{V}@E%M^<&$q+VAL3~llXwzCze-`
zhvz1_w8GaR$BmSaG%V;+RX6MuM?0F=uGN{(Ukhye4UXLR7`4e!(RT{k^xBZ`-dz4@
z9p6J>sIvnCI|3xy-?~4{BwQXJGPa9ky5gZ9%Gj}IW4w%&nr>?iHzL&qLrqxSTUQ&3
z4i8iY7s>iw1ZVod+wQ$iOFRk^QYrwg#6VF}+;D~c>%%$Y`9|Aql-lQ}$5FN%C;<`9
znNe!;y%PKLU*&S4@dev_B)=$~bp@16Bc+<m;!QJ~Mf$JHk91BWKHulRj)(*^)B`8D
zlXdb1hycjSEg8<-4dri<C>f_^e}D)|rx2&V>$^jwnD1@Ze;70zG}*o<`nB^f`sBcd
zy@rh%k5!U&lgAIcng78hOVBXB$A}Kds<rYo-_=(sMx4)L;@g-}7em!NREiMtBs=oy
zr=IO?byUnHOq$3DKI0lX0w*~siXtPll9k6~j%n;O8ZhSXJd(u^seuS?#wu^Av}yve
z9J#KSHZQfkq)I^#=7qKK<rd{;TsjcIW!8u+j7(gMtZ|Io`z@r@eE;$@TWMqc{X)5r
z#?|Nh`@KJN&wSzWe-w(-u41j{bW=hA@Hfq^gv$EYDNArjv;D~J_b4X@<BP%AIAqg|
z&j%?2Eszy5_E!Z6!a0ntn+BB>?0|00^RBO;&fFS^Jn656o}<}tRhwvA?G^^|`)Z6a
z!&<(W-QV6kj$BVju%|;(>Mun{3W&X2)X9w%BlH4Txy<2Qx+4v*+45I|u`Gt4LgEB?
z+=mxgsWi@^Ny3It`*@9po<8Q{dm>dCHn==KJo<t)7n037jt^Lx>_&FomqRlRmLrNU
zwZOkk<g%EqfyA#@&w-;ei0818YH@5R@px%sC5qcaM%3iKgdk8P^Zd{%lGLd-n-vQu
zhA1++Zd~&FA<6@&q3A5tzcxYmk}RjlQULi2Pcu4@HD`Z#<jGhHM-C%CFM<3lfg{_}
zAt2i3a1jDaT>U31oP!7L0h)zO==(7=IQ}TSc#8;`v!M|SI@;J+`($gO56ct2>06jF
z8vDXZp{9EPh}Icm|LEae!MKUnyIpZ=1liL#YF6sLqV5vZ!yfS@L+BMDGH{zdzx`D5
zJjVIli!J8h$57g8ag7RdwNKhFDfgEP^=%}CZ0sWCDLrs+68Ljr_te>9V?KAZ@^w9D
z+?m_%Wru&6S_^7J6VD?GXL1M%0~FFT^BTI&qN|TQ(X3uwJ;hL2gWU5V0r(H)2;nY&
zHT#fOaJ@~ymE#4{oc1I<uiAg9>(Ol~c3h9Qe0!5uhFNzPq!syJm#hsx13!@hu?qL;
z*#LG@N(yoSqeD*8jVdS|qG|HcK@Ftl*WSB!W^UD!pZU4pHJ@6yT0G}$BOc8DJe+S3
zC*5T}iK4syv8mp_j!va6DCeFi$p3Vo$?UShwBa-^G9Jz_cP<J^5IQ}Q!DO&vUg_hx
zqa)s0<Ol#0S=`7+*~`Qp9tnEvN;4xozW@9;D$Qh>Jm#Ta2;>fjes!K98uJkLJvNK`
z2XTwcSzq1qCMHcp678GXu37W7+-`RnZ(?dUHqjVLwqE~EjDa=kh!5?lg{WoB2vvf(
z-E#~jA^X)oMLsIiny4tY-p7jcC~<GG2mdggoQ5ZZoxYq&-t$zx7rGDL3Lk8j_JX&0
zxovjkv6(TU$IP~pouV#5vu$ofReHcx-$#m$L_$J75b-&^={2nGkbS&2&CS|U_Q>!<
z*dMY0HUhc71iq%O{y^8z$Y_|-wW6_{qC+~%I8n~&m9qZ!uQlx|F2%a_FPD_bp;I}-
zI)^i^2!d9CLtjPJ?C|ZQ)$K4RotxF|Vi617Jx3wD)^sY1dtTmS>&R!bq(pj%@NlKP
zFZZ~IQH#e+N1p<>^yJp{9rwv0F6<*4&OmbuwU<6!jBn`4KK1!9--!E7HOe{M=ZPyd
zA!SrUK|z55P{1<)!^Jb0cerq0+>Zisyzgcu^`wou%Gs%;St4c63gNeyO~ORo-vZ)x
zFHp1x&&|y3rAbWiF%A7-Z9+08@Z3GVsZ)}mMdGpBqPGJsb1~r9o^@d!8H&IDeZo;I
z@NH1wA5Pdd+1y(4W^1d27G#yRJQqM+UuC%|pe&@HI7tQXr3no+KvU1yFTR8T`Z5%f
zgkt*C>X@Qrm<PpBc$$6s(7=9hVKAyRIYM5#CJf@>Rk&3k#kTyTq9fDQ&8;103QMtc
zh%I%(aZ*B87_tff-Ji^wnU<C41*)+2;VT`4&ISwdVhT<Na|tO`U-^5=!2Q4^#j=WT
zVmAF@y{}wh`RSDS8fVF+2zKk_T}lrr8Rj8Lkh(s%bw(m`bhx5Q2DT}M<R{PSTMSzr
zpCfz071<FdYmbM#s=(E957Cr|>E|qrtv2_k0z#%`6dZY%C*Hav`AD|Ay#}<u+2fZs
zo68UKtr^ZO*XQS0&wE7ry2oPC;^{NNm-JHPtZ+-NZ>=WnP20^d%%8C=DN;rw;D)KL
z(sVRWkG%vPPpug?o?M(89X`j0uWoNf3o`mW-DY}%o!*xpg+24btOVa5t_`m?f~os7
z25|9|nn2_mojmH~S!lfX=B{SU)9ewa(Pk1Y#{60OyJQWm_xZn(#@Ee@wVU4Q+fa*t
z#+$P<pJ204SDQYPe%8N^PFjCQFtncIiQO8emDy~49DMo~-H$Q8!B!K`wn)05#%K*e
zq9Zw;DQ8;%vGPFZH)WxZy7gk-Knhdl7XVZ#?n~G!4d_R64<*U`VuJ!;NvHoifK#pp
z;sp;DBN=PD8ad-jZ(xdF3zZY{(tPhEX4bXw{h)PkxhqP3k+J1`+cgRb5^aX<Bp;T?
zgM(xrPm1J0B+EbuN=4p__=Avn$w0?G-T{rh!ILWNC8E57@aC%en;`RvCREDncHt`)
zrIK_{q~X44sI<5T=~7L`>66cOt|tviVKas0(_5UEVDw}qk9qTKTx0>>S5>U<gI*Xx
zmtA3!61!hG%$g2o6&ZEae@cR>E?PtDe(OGzwPcWmg*A!3o<&-+l4F~29EZsVK@$!#
zZK+r&TY{hSHaOyVt&mg?DPP@?>swy8GbN7*c|7|uH3_~|qGoRo$grUTI!>iK?Z3wb
zp(0i=OH&yvg>8@|V|Op4mE@lw3Qj?9&9NA&Mfdg0O0t&jzZVp!_Uf65dSbk7^S&y$
z_0or;*EqD&>u&(A|0i0aX-RFR=J`mLZ|W-a4D8@X+9%bIt=`i;{?H~|_vs%J8r0Ss
zt@T07YLmFH&h00%SoyvBj;o5>#(a@(vh06mr3WfPSY<o5w$ADAO=Hm`J`9Ymz=1v7
z&a6I#`G2B~Cv=J_M;~bwQMdSvx?C8VJ0xlBUcaNh*@!K&fVuq@=G1P|r&?-}<Fv`t
z)r-gzbxeqnIfrI5J1Kge4ij+WuhFoi&doU^zNz3mIu0pgVCW62(KTA5y6L=0`>7d7
z=|ojn(Ll5Ai7n!gCLR1e$q^%{wNDWZ(OsVOduq)ws;%D0D06tcp};Lg@D*HN-di$W
zV&&yr%fEE@@tX#vtjv(J=%+O=wuYdLFxg9RJ*04bBN`Hdt%Jy=(Q}h$@IXOf%SIbw
zfg$+d44xRyExrZ`-M0WN$TXxpsoN5a<Kybh+qaM72pREu)4scc&$my3NH0N$Wcwbn
z1V3<lA|rYOnw#>(0Z>0wlJG}_zYUnb2Lt~3EXGw11Aej?*%OC9Z;s!q4Wm;w05>8?
zp`VKojVK5Upy$U0ZSzD}Zr#{-;vLVc`>3}r7MUFF_U^`G@t71-y~i?npM=7=R$)-?
z8Q`x%)fLNRoDO2;ASwe-S17*k2U^`NPX9t*Tikr!6Sf%N?|q1$-+ryC5U$TQ+GN(p
z;>0K@^mw*9fi{yz{`;g3Yv{cELT1{^#-`#~;}EJ|6fl3Z7ZW+8)5~i<fM(6logKF0
z4YXxjC#6z2qL9{c13A9uQm+loCAA+{QJgv;jOqdapvfSBn8sJony&X@zzAn{0Ecx}
z_JQq#B^87MhE}|XMWVk!0CMxc#^}hTe_j6t#e4nxQ->R<f-x(H;ePu2TE~%_0+-T}
zgv7TiD+RxxcyZb9qbI~)Z8(|b-0ejloom$;TqvE=UA9mx)sO~M*13vjmzqZ_oZDq?
z`E6-3J+jujuGIAWgyY8#%+)xIg|_-Gyuas@<`wi3G`Q^Mho+&1rS+mF(PQmS93evN
z-N&?hLlE_d(MGw(zpLr+Spe4S;9q6?nsU;@%GezpJ)a}+s)-s@xw=Dhonq)n8~n{R
zN_P}iVzmPkxF)ju)+%jMX*HCrvt5R<@6V_m^{GeYggo9G+=!G9?^i>I(Tb=s2jZ|}
zb2>9Z9vn=hkRH#PC9j4Ls~DubZsr=J5Tt@LN9v6kRI6i(qXP0^N@n{>(!~fhXFo^m
zh(_VVm<me>$F-c-T{^#<zdpbXn|>gp(86A~c<-8pUG0!}Nks*?VS?r@xZHd*xH~5~
zxsf`{FsRkq#>&d-wfKGu6ztqHKcnvy?h!~PL*^ArhmM8wEf@V!b@uyxAHQe(Hcf1w
z6{*>`Zxixw;XhAlGwI+Rnf=Bn5RqcFf3>`jf08h^+t2~ae2hU^G`?ivC9ugMZRRwr
ztZ6+DJ2DRQ_#H&dsO-U>0=Y-OHuK<2or2dy<&_sbs-xszC_dN_ei8`79#12hjxTGw
z2-vpSep}110<*m-hI7Q`p~Tae6_9J~Qbe_+0yjXH>Az0Mx((}PV~wYb<cC2?(Qa_Z
zX3%3H5Pa{CY2DcjTL=8xN3|$>IsNWV<0x#uFSut~B$SZ^>n{dkza1}%66EsO7d(v;
z`@-wJ>pSa~(Cm89vQww9|Lv^S`oohe;2r%nO}s!@G~8m1<K0fKn1Y%-7)p-a{bkXu
zdbI)!up{E)p-xue4Q_(~)V^ggBLO_7T+!?JSgt=fy&t!1Qr1=8-&cWNU>e$#bv}A*
zf**YW`a7yV6QZ}1(dS}0T{69N1ay&t?<v%*gup2NZ5hgj+A4{$F{?yW_@Q<f5r2Ob
zMp{-G)@=rslc4MTNi2Zt(Zt62>GtQDTc!Kn!3?V|&~2;uMMP7~zBuU($3HWu_%gf;
z%Cm#L%yXU1tfb0D`0b+C-<*Xkii#%*jXVmenBMg>Eu@d`djmFqb#itZYKo$!W(t#+
z8bnRcBbptCA+71zb6pT>LE~#}i2hm|$cPE}%hflaP^!57hg1QEqfg;dmsp^<h>R)p
zXDdBDJr?{Pi!c@%{Sn7sj9;8enoLY0RUEjUnawA*dSAzQ*QtB7bq8I<vBy#NUJ3{<
zPkpwK9xqx^qR|*xxH+KfvCa0zF(qnXl=8+OhI4f(zqQ}9D0O{dJ;9J{v`@{)fOZd*
z?+inaM{Pyznq_fUm5Yj-jh<;J(1tXDQ!R!nqmNL48{COKtj3>bp`m=rh501y{+1GL
zYvkpmj8Ibg`Lf3O3Io$0*w*HtTzZe9uJ*~@`OF))WZQjdko_zI2gX*Cax%RnTSgWP
zyF{c`Xt(fW%^)S)y|>b8^2^44=?Zy_8Jckz_h^ehroQcv!WJ=Fv#a_Vd@OvoZd-<L
zN-=;O9Y|?OlNOo2;B~ZeF|ZwZ`F-v8Xl61x-RWDjcXE%Q6rYP>60EiB{}PwWz=Y@S
z16>>Uh&#uE$BThykX>gnUjh$Ufq8SJqn6+@0QUL!xfIfs@bDYPeA&Y6lokZPG!A;t
zR2v802|bhJe2zpfBxj!Vt>yf4!uiKUOVCB~dyB`hC!ffSo~)bDrsBA;X)n*e)JfwN
z!6BdD+J-ktfg{rl1@EoChqYX(-W*^nR1Vl!;pDf|3#@ALcfjGm_1^`QeN@nM`&B|h
zj)nj1*PHIjZN--*Zz2(7B>*^Tb^R}W4|z}-w93spWqA5|#3O5PexzdO{cZ-2C2gOD
zM%BQcZJ-y%M}CVd$IVwTI6kK=9My7t`{5@Ngpv=br8YTynEa(|WSV)ixYqB9#rt`R
z2(rABzYLKP%>S0B#7No0K*GYe`3k&Nn_4Odwr=wA@@bfJ?68b;>(O54M15~SlC};J
zT?r+aITVpDzI{D&R=@+DX0h8aNz2))y6I{O39x@z$m__{LyW#fbu_r>!ALGnqQZau
zqt{K=WB%9K(w>Ib)!&W7&|fd)>y6$fmx1#IbzFxz%%9$ZQO0|#c#f@}_X}l)ja2lb
zD}9)>@!Af4if^s=(DdzX3;EuT$*h~&@m%>@T1M>HO-tun9hYVNa0Du4R=?OwNlk?c
z)NC9XwRhbR;Q9W_46Ovo=jQ==%q9Ph=Gm^X5RvG_DN+u2sR{f4JLcZ>pN93&@vNTQ
zo-2t&Gw*dRu?-^HE5(Q!l~E}{T;6YODwU@q;m7)<nvv@xK3K1t(r)n-5;>W&2cj=3
z4KG4YE^psQg6!3AP`!*`3(la#`=5`*JkI|t#a{C|USD2fH6GnuT#_Zp5{~}sKmc_w
z$3&dhxtyvY`Cr6;l&00M1TR*qn}N*~b6wyr{wV@m#DdCd{PtpLYJ4E|=yQW_-ByMX
z0=3#~&%8?}3@&!m7!7v1Ub1&G#lbWbE>=EsT^7Wwzc}3Ex5K{m_K1VKB1+Qw+z#U^
zYgT^Omo$jf>G(DuZ|v1_^XL=C5s;9}#ZI>~3Rz8{wmVSZTPa3sA{%noAN5L?bs`NZ
zow5t#I5kPvfi1i0F&$=qq*^)qSj~Gi(sBuT_uNjiHrXtW5EjVNPk5>}%hpzLO3XpA
zE+OKd@s>rY`X{S83jj_5|0+em3VnZn=IFLBuLxCoRZ{5lDqAwQtV{o(Gy1efGiEJA
znY=cO$#4nW%B<W1F*uFabk=U(2OXY}l$IRJ=<24hNc?8!^sO&A{vS-Q%^q>$(1cRU
zXeVtF`aGdr38Xl8dWkl7W66>~n)gvZ6sueVt!jwJ$aHk2OBqBTFnbk-qT2=C(rt&7
z!k8Tq_-3s_GPAYm?ZvDI0|DV}7#;VBI`?P$%V~67EG`~i8y0{m{_HnO<n{J+eYQ6o
z7gqiG@pdFQz0qi<@cn$2?YWrZ;3n9B^bK2yOqr9^^~0V28gsj-kDzv=LMbunoWWJZ
zD*P8l!$4mzXk`Tus7Hu?dN}`<6V=5&YHLB3`bxGRZ?R_OTzUU+w&fPyID>A~FH66*
zx)DkX^p3@1gC3ZiGxYjW&;7PVukE?Ot{qPguilK6W@;R9%F2dGb%Kr|;vze7sRm;V
z{ub4~UT@zxc!u2#zo>3i16{*Ale`i#yt}1qs~uuo3*UYfUGn%lz3zgtPt}$+QwFaW
z3m|*Yf(HER&q31x8RdRA+mr|TxiRQ2M0&(50=QZNjGI}@C|yS06vRC><ILCEzP2gX
zI@eod22YqkS#&$gg!j``VCCn%x@P9(dcDzY7w;0alQwAebvGP<zr9(t9RAYi$=45e
zOduYTVPtMVA@K<iZ)qCX>m(<~Wx~eDz@E|Ud6=LFjA>27-2G$FIatu;&O{&^z+$&4
z@B@R#dgBf3;l#!JFpy}${wkJM&?hoEE`xS%$Zw;;g8wF0ytf`uPUJ~EqkRyAy;E5{
z%zoX&_PIwuqeT3U7DzE~4wm%u*om>-W%>70WdOe?iS%Yph7l^;m6!C?IpXMu$7GAy
ztE$|Aip7xrko~$12CFz24Ww$~vO6^PuN%jfuWk%WMenbu+!g(8+e$T9R7()$A4Ro4
z-@{#3X5>G{bfeH}sW_-$VP!wA_g!|~(J|(0$82k<9`9VY+h@Wif9;o=V64GZb1CS^
z0&TEuhoKd6P|d?QC<O02FE8(b6h%V<^Mel{h!{4Ii~fa9dQKJiiECsNAk>Rp@^^Xp
zk;MNMRE`3JLiDCefnF{gJ+Zd9xCn|M|G=5$!_7TAJ$=1T(<zcP4iybe3bqaIq?+4g
z@-v07y*Oq|{w?vr+jWp{4+I1ECLtr^h<nG&aX(hzH9dpeVsk6L(M`XbFwqbgST&3V
zW*i2*3;D-BP%SK_fPd41NUEnN$*8KTpy=j6AAM^V_w{7PjtmV)i*2*0dxkm)FPc5d
z^?UERw~~T}?8QoTHGGKX0sJfeBwE{OGn<hD+RYp_B6Gi+vzujUhtW}PZHLNiygz1*
z6l#`Xk7a6-g;XuTYP45BX5r<LW2PNCo7%wsv|X?)c=ohAUq{pWtiM^P_+F<IaOAbM
zV<uL}L?4x{vVonUFrzZ{z#xY6Ov>R$X$P#h`l`^-@Yd%`o2s#`Q*B{uMWTOKOv}de
z@+-Jw`%v9K$AcWq_j|mWv!BwCE^z-`6K^#v=T57n&?D?@v*<&t$|TSetxpg(LYzdD
z^fL_(q6+*~VIK14Vue4`+#x~;zCAF^9S*uO5A%>$VSu;<9Ple8(BJ??74juq0SLOD
z$Hk<xJv*QeWUK+_$c{evF$aR!9uMio>k)ezxlFZ5mQ(H@Ql&tW7}g(W1GE2D(j(F)
z())mZFuTVJ6LjjaX`M>G$SeU?t1svy#Tvy!yF=hZK3ao225fTW{Z;MXHyTXy&07LC
zs_e~#QlxA{UssH?TmF8wop!$*PwEKP9`?`DJeGtLB1Ev2Ri&w^gvwy^66k~F)px><
zQz>wG7_&=!?7PZBapJkY<}|Q~3NtlcYna1QLy{CJqs!Wss+Wc=VDrZuY^XqHSUkR+
zwS*#@Gi`61gbOcYa4ek)H3}rOSm?f9C4l$82XUh1Wuo%kbbArGOjh8*n?MfikihOr
zbd0J}-gO?#?kAqu^NGE>e{NG$CWQ|bjpl70ej(s7+p2f_+^GftvbNB&F?4oB1Fy#~
zA7yfnONG$@P`9!?ly*xpRy9ye$T%)!Y(mkE3O|-KhG3_4{zKi=6c<byo@{8zSgg^-
zU98IFU#JP>{we&woPXC!&oJnzeyD}FDb^M{)e7ORI*--ETxO)Dm!fst5w5E*ReRJg
z>K)8-a$VXA3Z2@aVhW>wnko1q6t6A}rXQ7&Elo|I`cWKZrR8RkIx8yRHGjO>qawGv
z-XC4B+J3yfBus+=JGh-ph@Ct^%QS+J;i4{o1C`Uavw0M+-HbBnWz5SO-C&Y-qye<_
z9X(x8Ebz>Kuo*m*;j+Xp{jS$ukmW55q~KIz9bzzw{`(u$Et1I1&3y^9LJOJc>23X%
zPl$*tc*6u$t>jP#zlkUYgOaxXihQ*JtApt!2Q^nSp-0?}H@q1EygyW{L0K%XyBa!r
zEQ)PaJy6V|nX-EsxfxN1nJ(4n@ic)A(Rn5pG(oF3ps4I<LHwWQm$79qhw{=&0zXTZ
zcRLRn{m%*wBnr@xK;r;I@N?`n0V~k}V^S&Ro6M%2(Wtv-RK!oterESR)N@&=mIVLV
z*6W#9MRKJ;EA@$iNW7RdRx`({>Wu4&vb=_dIqxjaMzqG$%Bl{13>8yXm@_TO*vYX;
z`S$f;LBD^>%eN*Wd^7@sW6QFUwRnLn*)YHX^FaN_VOq>h^eQ8AJb1(N->9GNa-7vo
zY{WY&UKlg!TN?wmIl4jCeee4C&yPA=U8kSX-I_g+<K(N(o7&oK*2pOw%foBEvQyx`
za_*M;c`L4DVq1S5<MtVV5ts0>qKKgE0@&f~&!LRiwBhx88M8^x?fGR#80Ki%#krK%
z(XhA(<Yl~4b?dF}cXtYOZa5O^6tsuw0>@tzauF^>(k8(!ffUj>0Ic%&o?mrW=|O5a
zx!R_tq*lK;ui&X5z+}QviZN+hu+flbH~bqx$iy0crBYslh38r7J)0%^1GyHhJjrhj
zVwioCAsEQb)3Gpq58-cST+W7rJgZz731tlptS2#o8gD6Y$Hkl>?LUFKs<uswR3x&=
z4f75_1KI>AV`R*L>BR&mcVJA6?>p^d)(^p{Hbq@z^Ln}Yg2S5}-M`m?gAA>ojS-G}
ziSaD?@qb!?)g2P!^gzYb2|qZ+pBe7pPDYRD^PoZP_u=Jt^z>CSGz}x8Qs(;Y)Gl4q
zS-_hj=#QIhafW9;2j3gJ`N+a6Z8~iaP&as7C*y_f^Sh)7z?sT5Sld)oj~%YZq21j{
zFNF?0*`m*Mg7eSChbpw5rid2WZv>jbf99C~Kwx<3MNGE%e7hL!YYj?`uZ_NIgzCug
zvmqY;A=p;X?HdoPral*_#rSmuogTB?7b#<Zb$xijJr7#R<on+0KWGXOJfm3XlcjVQ
zE*3ToAbt-Jf*O*SU?cmP<|WiLPgb;*D8Cu+Oxeqo!ZzFv7u~6xk{g5p0fCFF><(S)
zG{R~G`S^HaR>vNQT8B{z)8J$@Euw4x`ZwBgdhqcy|4-6RGPosV1hNYLpp?)~H1m={
z5JT(zJ7ADhhm%Zw=|Kp@Vjej_sy})a{DjtlBbSVEwNONgfcEEx9>aH8?Ko9r@+UP}
zan7D~O;CV%ik6^E#?4>U0NY-#`*+WR&3+XrKizwEq`pZzZ)~Ab<9U-03Mm&>+IzSV
zyb*_{|Mau_@HrUm3IhWYE4~y)QUEis**vK9Z&VN+$3g0~eSc8|;7hn=em<d+Q<cu(
zydL3!CX6?PzY|9vuAwq2+$~HrC*~AxTc-`J<rsn+jLE1*A&X2A0A}xTwDH(;SEAV!
z2(+61;X?)DE<K0n*-QIUqF2_)nVD!J0~Kky`IcxXNrEYE%3<1!P!%c4lucFS($S<f
z<C6pCg9b#P8H+K`zum9Ad?0vMzv9Z!TTuTDy7oafQUdeI7lTM0AWv5+q2WZ}#+x<P
z_`Kg3f8l;MOTnZeFM-ZFA+GaCqxi1b9E9!EfEsV4Gpnr=`j@e1^b3ZdIfZNOvrGz2
zpU!gaFoxGh4vg^4KYx?5<vZCaZ7uwhF(p-{XyVVao*AcWWvvb!MKM@K6;12*W-Qi8
zf!KSQLda~*-&n9CkmF_?8MrqKck32DQZqdB9^dF>(3co8j;A04)9ct9hvb_%^Q6FZ
z=9bMdj1*g;mS0R7O>e@?qe-1TnFxB<Bi42XhTHs|j}xLTBs5@9MMiKy6<h1;uPtl~
zsSM`AUwMZ4`TwQaO+hB)$2>N0yH#wDX?*RxI9SIoMBFaE%|MbNXk;Ks#LI>gmA1uZ
z$PyG)csVfPKgLTOk4h*$Wpcp4<Q@(0UHX|SOb&+b(QHM9HH_3on0O%e=}+zzwLJ12
z5++>`LWH~nD!6g``>!tVIs8tdK6?5?RfL~}<72-b%{=$Ukk=nc9l?9-{_rJX9|pi8
zBI?evtr8_z@-XIW2n<*4{9!X?CG&pD_?<KT6@Hy=EP?^M?2y3SrwCeFMUSL6)ttt?
z&?L3eG?qfz19aXeqzqU<V;Ds@n1N*$k)w^gxe8h5td0*?&yXODM$2FRVe*sFpMARP
z&NHr@KiHObWa@3Ek&#fK`yc=YT(-%ZeBVs{TMNd|@_f>?;1(HnR(I8!9)!C`6_GTn
zU?pj3UqGUP{`F)l$+-F!WV^TBgR{-9Pe$)oyV8=+!Y!Nk!!b28)oUojT4u<F0nT2$
zUexS7^j~FLdn=CNO&^ufQO`cceFw@WU^}9g3yiOgYERo7P55d!#g3W4YaRnp9T`bm
z;{x7FyT2XnU$-XCpX&o*3WTY)ojs2alUp7O*b01sAZNoL0}v~3vP1|2*#9xf=JH!T
zQ>|}ai{oT<XN-PV*LBg=UJXOVHoAhx@5N=4_QXVdBuaG@_}VJ=<x|LC9OrOZE{^y_
zpc8e-l({Yw$WuurA?prUmb6s-h7h|tZ`nwb&?*%!gsn$Hjw__3HdOE|XG-khDgg^R
z#jyl}RsCd!Q7IiP{36chwb*cFFwyS~WxxA$OkY8{w9TI20{sInSX%IX?A7LAtz<#p
zLndgl_o=tER$Sa6r?)S|eeI`aTGXHU({JyvkD13#O0%A<Q*TmY#&A-YPA8R2we@R5
zo|9v+`OQr;X`&kJa~S=~?R<h}7D6nyGc?KQR8)_V#t=r>a@DN9M<$^T>+P+KKO#mA
z1}lw0L`tNLddr>`aZkgSz%VHa)*$ue?cbZQe^*h76*^loHAVzgL$1q{2;)(=m$WL6
zTJ$Ysf+E}pdC4ip7rqI^v#bkz0WmwCYLlWms?u`(&5kNH%@SY(T45Z9o$e0BWPup(
zQ}cvFfSln4KB0hjmZ((b_ML`lFcv9##01z3&}%ctLo@@<toF6mZyy>>)NQe<)o3&7
zji^{?yokkGlbzTjopjoOqckiGsW#(2+?WC%7Pg)Dr=m_$7~_U7+E1<1>wKB%NAFGt
z`Ba~__7NU8L2zkY2(a-k*Y;ZE_3C|v$D@8Tr8weYD>!w`eG(d}=51K;$3aLUA`ep<
z{iKF&w_wy^;WY%y?^zMrNvPAKFu8Bb3cH&My64ZGYUE|%U%&u%6R14!!e;eWom`9`
zC9AsBx;P#5V00STYsCfYxad{AK2P@0U;zBW&msZYpUu(CHz$>~Kcmg3kfk|9<SLm9
z{@}RBZQcr3X|XunHf78e?a_TbV(QrG4&!ap37K_`j2nlC3Y4Yu(_=XzlkG{PIF$7M
z7c@pO=8<h2q0Dq5{_8s!@EtAw**A?@;<-;^Qh^78p1J=uyZ-E9x7OzsV_BQ0i}Ydy
zAD@VsuK=o^X~v%(4Dvb2vS*I%rmC!F@{xbT;lAgCb{w>>$P|%CfS@RYc&}y;ygor(
zzcO+$D$BXcIS2Mk{J1o*7QK4(j-2(+TQglj<@>ks%QWnKg|~y>>wPON;YBNyA#5dh
zh`Op6EPHqH)<P58Q2xK>I<3I2y+!sAJ3TzoS8jy#sCxHLXa$s0kij0FBYb^;HNc;x
z@^;A9J3*r}VU*$vF}~70?K=gBfN~&<VT#h0=k1V1_7@eGQs}Yox6zNOy|R$ouYT#7
zpJ;|t2xN0F|3lbY1;y1xZNiNPcY?bIcX#*T5S+%{-QC@TI|O%k8u#Gt7Cg9Q`u%FA
z{{L#`qHnsotGdrQd+)WL^@z~TV*{O!AwMCF1q<ww$*!R1jV1Cu>AVrS;&&bQM$+2r
z%=qPXgekjNf_#1Yr-Badjv`!_3wp&yqxUsDGO5q%0)|3b8v6@!g_s0w_*!S6G-A3!
z-OylV%j%r@4FCJ*uW7yX`H6SNoVCcwl`LK$Mk$@lLJVv6OqG{v)|talzl{RP)b-F<
zq_vBbW(M}*O@IySK%#_}#feJ?p=cz<OZmwl6)kP#udk_xC#w@Tbv<bS%8}TQWQn9R
z($c3P=B-drHrt*My+jEGndvxB*5`iuu~~6rzs|TkRKNNf_sy&4EU8^eL&FptJtWzo
z8bB#W!0V2?*un4hdur~;-;pdenI3F%{W)g?xNY%#X%VOGsc|?M)2Yh3$0<S8exzS%
zZgW^+8T>&IaG*npm>A~<`xje<ht<lT^mhfEBOglXP7^+>x%NqmkAIMw>=P|}aaM9-
zg@d$RaR9s7M^1D<444KHnSQWfUdBB}`lp9#Jz=iYahs21eI=rdimV%_=W69|a>fJZ
zz2VCijbVo=@%O(X@aT)Xo8x9M*eZGj=BtvW=0}Uy_b=mq*D^Sz4O=`vE)CC|w$;lY
z)7~GFW;1H_7;B#JcmJ0(sx+4qbYducB}9F(mz#~T;+in=u_gqncBHkh?&*8FBe>rB
z)bM$hA@q47c~O*ilgw=hT9_65_qySoQ)m-GC69$a$Mo%_f}2=ZK{us3jgJxl0k90^
z`khf++ykF@1R%m=jVDTm1BXNBML@gXGAy!N?<ZA)fr2~u0XI;%@lt!h%2t!#0`imH
zzro|{k8ZTc^(=YkCJF8l8SAc-mZ3CdA|4~pEc@=drwi`Qjg79-^81+)c7mIbfNltA
z5k*-DHeRSwE6ZggLwHdAOD_=#ML_^uF7dO(y>n=jSXo$p?tnb)L6_2nz%Z5xGDZNZ
zG_6LV&e!Rv6I7i-H4q(T)_&&|746vgIT`-;cT+oI!^gq+ERwVMcpI)B$U)pF3xzK(
zNpLU#+NyRtadA0_-TvKDC#dVPxR^rL%LG6}EDbAc-Kq#7GYqAICrbe`!7L5l!PJ-x
z!|STW&8rM{@S1|8(*SJwKABS9G}hNy-cegh*a4mbTI+O96Op|!UUusV$IJCFdJfK8
zlMv_omcd|0qs14yS`0nkU_-59GmIS*O<JKk?xXVsyl&`r+i_dH2G>?}<gYzy^Ka>q
zgz75045HfFM#K~;E!WXk1Kr1bi#sXS(Z6&pes4^ahN@J1R7-!04#wj=n&Wi9qrlzI
z`Fh>$(>U!6C-m6cLQRbb<Z}C`Lecq&bxl7p%e9QD64LCK1*&V1bWWBpTiIK`U%#D~
z*Fu<8p&1k3|6A)5r3o7-{rNXX^v`17ZA7cViI6l9sj<X+4)gEc!KTQMo=adBdirRm
z+l3r15C=m{sLy7lR=vq00iLT_nHx#QpeHtpkCQpq04Kw^v61BqJB?OXYJ3RE)XT9Z
z)*-mE7AeAnBjuARIX5<ADhBfe@ka`#Y~EAhyVLC3y*s>ozv5x!JJ_c~7+FeiR=4Fc
z#%T-w8rS5~0mG^+0nvWFGH?)3=xm<VmOl+FIJ}*Ub({myg7<S8oE)vE=-$pxjm`e>
zQ5A2v`u~g?$gww#xRk}eV;}O|se++HeCwhbyvOSnl0r7|i6}a#w0ER3Wdu~LN7^_u
z_0X$FnzIS1K!j9QGYB&;Y{!B}m;j)#d8qGUxDQF5Ipe7DQFIov$9X{YPr(++`O_Hi
z%IVS0WDOUmB@GD<Bhy};L{SJ3E8@T~pGT;rb2qvHk49YAKrhoav-vUUXDylA>Kf&a
zA*~X0jP&%+1-ksjkp%b8W2wwrUbj=f(x>%pB)&oKBO9_7-=eC~%L|K2iAh83b}x_r
z_h2YAQO5r^LD~j$>SSWO@o?dB!xdm3MbW;_ua!YWnW)M_aJ6zDEF;UmJmU2|_I#!n
z&mckAN2gPhRMlDef4<%;4y$aCN<zq}>hX>8^(r$lhciSoz^i@}WfKT8;D6lve8xqC
zqf`>#!|D)4TZxDcU+!EfW~JdRJ1vbl#{8C|AwT~WZL9;&n8C7YKKI<ZS@7|IQEDCA
z$G|HiCA&U9(dmn&tO6h++zr;jdj(5qo8L$#7+M4#!I?)F`Kii%)`rU;vE)L6Oy$^}
z#k^6WHj@>PXxfcipy$Mao5~tzN7?TPsAc!@J1*%SgXmxm$>nEqX3JL>bQADHP=<L5
zJKUWa&X^%gk@st2{`#yGo$Dm$vY?yt!KLQ@?QY?HK~}@P*!Y_aCxx`Jdl{Kag}7ON
zG~VsoH15z1T>jzA;Rx3DX<piWeWTsCW3JUGl8(){JO%RZiv5uG_m^(sI#6gR-RGx;
zS!7Ca+Ob)eRI$0YtkIY2(3(%<5u;6?OAaZi--|6H1H#@6S3{#Z3C)x`iw!O(Gley}
zZMFXAmF3G&?KV$WTl_B0&gy_ZQ4Wef*Sov<s#r(mjSM@`Mq^|Yw%zlM-7o-k4ZpdX
zO;3>n>M;X;V;X97(ZA-rY;im{21`Xb48E_O51!9j#}#5KVtBpQp96Z`j?_v>Nb3{)
zL4C`Ef2LBi3JfTJK4XmMMR+HHy#{EQk->;-l!wv-@QI=>6~}FhQ(9$d^E;`3ZP|p$
z`(sB&vh^<uv<)x@Tt3-go3E-8oYnGJy>`~$6tLB21j1di%f;eh91D{Q=Gf1k@oKfx
zfh=}lV<E%{F8LB#T1)dz46W1W|6wh6_6AW6C}0EmOVWKPIXGNnp7DrkX=$ZU%C2CF
zEwg~K(Kx%`<5(XftEzSqs7A7kNReXM>`RMndmToV$3A*os@m*1H78<$uhE^D#Uy1>
zM7&-)cop<?BKoorxWMP3m^$$kO69!L*6?o%Ow7xY+i|kJDL@ul`8fbKG*=j|O_6G`
zAMakKOZ<0#^;EjB=9|_p{WrQAW)Qqzm1s$Ty8rejT1dVGItV{P7c`Pm4L|c7k%?vD
z@KJ^o?Q9Mtc?zW;pIcHY7)Zg5Dxu;d{m*zH6}J-b?WPSXBB+%yYq6?GVv!De#B&ds
zDFcq;8=QC=8N9gd9^5;R3I;pIp=r3|!3V#P1YA!(_j4N73A{LJCJ3(370zf*os%$?
zD&-IY;>TmJYlZ9bp|e^M=7blG<bj5oB>d+cNcT7nq3~OCBJ0x)kNu>vw{&9@rfiYO
z##c<J^t(pFP}!)N>x$J<!;b!SQg#rBO$&YsH)Cc{PAr-j1m3@oO?nkjhf$uTzP5aF
zD^Y*WDtx6I-)BI8u;pBRrev|`57&#Odwz2S8rC7$5bp63I3eHR0xxHj;hh!Erh}5N
zpBsB8ddm+%W!9-b4CV)Y=`T18v{0nKJ}=b#<oei0y?x(%(J>~xCV>PZxlzFYAo6xR
z=2l4(OD`}Dl?iJl@+fl{eO1kf@5_JhCSfugJyy4)I~!?}SO~y<KSfk+BTpBy{oyxa
zYLjKdXD6Ylm71PCbcLf>GZZf@l&?;tG&YV@Y^F-*-uEu0YP)?Ee>@yUXikMkhR1E#
zgCQPl!B^T!s7AOfi=*GZ`kXt}m=VZ>f5JXQc2K+shsowDi4GbcOh?)(oM<Gsh=L)0
zpOhmceBiQN?{BSX%e&KDjYw!BvEsae1m>fE1%T0?UcfHmc-z$!x$xxA@&zkX#;Nha
z`IK_Cuc>{X*&1biLj!=|Wau;syGo?+_}~^iB?TF>NUuK*49XRaWT8L5D6?^xytGqX
zbJLKjq#jbn&)ryaq_?~O2ZQ?G7%K1WeztwCa#=WMRp@68GzZuN_B|+cfNe_<tfg#0
z&;zuNyO+R|gsh+ypmqZ1?+e>NEZx}5T>OUbe0*|2O;2#GwrdzXU?X~W06jbzfl>~S
zlas70JP{#bcO>iM8#p!m8Vp`P9j~sYVUQ<{oj~~F_hSOQ!C<z*T8j<N^yK8vTC4S0
zGo5YxC<*)j22lo`we*ZebGT-{k?(L2Oi+Q`RmZ8rF;3Un1wZFKdf%2Cyzkx3<<~*X
zxO`>5cTt&pQ39!vz{^E)@qFKnU8Y9O`cQeZo_My$S42Ax4HB}7Hu`HLpQq^;sOyCe
zMXf(xM_bB)bn3g>YmmW=u~x#%@V!XGlw86^R;0slV9V@?S3ZPah#3CAV*AJTfr@uf
z!<;Hwc`JNvSDi%pejhjEbt~ATL|v*Zp6kzc`hQomz<tZ~lU?5^?VzAG=!~5;yw2*o
z{L41=WKh@$92}V~978tJXe&vDh=@O8w=Ua+x!gKyJfO6Iqo6N)`GA&cZkSI^*UdyH
z9*SZ-x-8lRdT=l3e^{7OJiL%9ketPYMLQ8yQFz@iFKgPZC6W~>6=-4=BMK~iz#k#o
zSKyWPH?(&9ir{DK%l4&~OmefdtHU<0+xf+-!^LM~^586oatnbiKtenT9wL)@ewTui
z<(kr$fQ|64aHXW{(;PodBYn*Df~6*8+~;xx6hya!<R-3;3f8p^!DKWz3>G<HI{@zA
z{fZX4RRaFI!D_%5Ej!P?U=SN%<=4vF_I&30`6PmhMrw>4(|9`mJ)fBwEE`l%-~}(O
zNg*WD?&yiDD6UlsHS+d@-C|M(o|vd6?8IHSB=bxKow(AfkiGUeA=0t=`SlX#<OW)*
z+52fg-lJ>pi(*P5I-JSMJ@Y8HGiK|;yDdjY^%fkqXIq?91J9&9raVimRI74?V%JLH
zCi2g8D*gPG2NIV|sFxe3+CkKEId+b=tX`;`*laC^ICD8AjbxGG_h~qodRK3#wh_0j
zE4(<f<HW2x$|F=y9=vqsOkt?DY8^`i7}>IEMo#P~L<riMN9skO+0>y~IBR8Rh3)!p
z>p~SF!W+{emH|5B%u*_V3nKah=#Qf2EDs)ZHL)H^9;r9=tpxONe!XY^e=)Iuf*7>M
zhPJjRZg5n(YOCD_*Cu!viwS6B1KIyK{GS--<F;L`M^ibdg*9>mpGETE{M{w@%k|Pf
zs|^RURaLc-*dJG~4;KVEHhfT-0X{C%uL(G&p~ZelAX^(Q@jDq!4vNEr9siHRw7%{8
zA4kb&4`Y~rXI}|AEX{|YUR&R*Sw!m3{QliJ`s>K%WRc-#P{vV}bm}IMLoaY&cam?a
z>&7ddL}63nPewcL1>;Q`^54}eLajs%AOZsX?)xpI)Rz=!$e^besSBHjL2SGe{|ec{
zD)dxyv{1YKK7OA!hKARD7NQT)e>;DAc+=F<eMAJTT=_fgFe<sNy~g1}Z4A?y#G)m7
z5^a)YAK7EZP2I6IR5CMGG0aT-=8P2#`pz<e=h=fIuCBo>;CooYI$tn+7~bz8<e%0S
zEnsAJfmN+H$DrT4oO&~QvkE4J+8Ql!qUhTj0mVyi!qEqIw*-1Xi8^z*P{2emrM)p)
zOxdOOX5sji#0>ffM<QqkdRUu9SN7!S2qu2;886FN&v%bJbf~Z-W&6eRI{22%hxm?z
z#}62W;^HnhU3h~n3G<{qseNHv!6>ey6O^Q`8mjX!-!eS4?mTrcbk^Z=tAcB=`?b>Q
z??!P>u|u{nCJtjJ-i`<yZDD(D)4|)n*NzL|&&@Yh?ntEk;;;(Avmcd*W>OovYO1?B
z|J+893KJ0RAa!6qw<czzdyBnmvx{sUV2|R*IWu*1?THsVX3d8-&w`8FxzJ3!+fed3
z4xa~b*{|wg8(^<3G1M*+t7o=V@Z(-yl2*nP%1U*&zz0SY^3Hj(xg}i*GPc*WE4ar<
zS=iVklbgdrm?&d;-_K$AZ^ot(*3o*86h}$pU@I5K7LDSo+TfEZW$-maf;7ro62Fo>
zQjAEFcDx03ZZchhM!5)IjE=>#Cv>zr_KcZ-%VmDKfB|UsD~lx`MY#s^s@s;zT(L%0
zZ!Q8pgDDT&E!~m$4b(^;8Un$>m?dy>t?26J#tG35**~zoy=|!T6fv}SP4;c&#*2Ae
zP?9uM59{sa0vsvofAKj=?DGdLPzz|LrTdi6I`yv~E2{BC*u!VGkjDQ;R>7)5!c0Sj
zY!Aesp%JGfH=o%sI6XDFCQyMa$Xnj4+6@=!MzkWmZydU|hlW2HLkbh@Mbc}|sI_b&
z0PT4GSHxcOshq3k-$DW*yYdgrD4W=E-mJaQTunFQE370J#>4(s$iU+A*E(Td9=%Bi
zicll}QI2Xu3o5E6kC#66F!Z8f0-weJM<QJL)2#~<d@k2WN%1);dF|5y3h-!f2iZ)r
zj5B3ggpj@94*0%2d&#DV_N=yE#tNOBQK{(Rb1%(o$W@*exv<pL&oIAxDFf+ya1}uu
zHR+`juRFJHDF`i+dYg(a=g+`YkDCNXBmG@X)hIh7b0cfDA91xW2D|NjvTTdF`%iYI
z<|0S;$75FvRI>Y6_WU+H7}foI<GvBs>*_>ruhWKxLDlLZqM{)UX$YQm^R8u8WU22@
z$AE3e0%>+UDXthPWyY%Eyym8kMd4T<N<;h8$)?t~Ooxjwo!N3$5Piv;;^}U^Y6>f0
z_@NATuAtFFb^`5p+<1ks(IBCLs?IRHSt{Zk;_RSFZBl&HAF8sue&GYSP{K$7f0OSO
zqz+B(9*nQHPEZw_4VI++iORo(PuX#RXsGp|&TZ!At5G&|6@v7&Ia=(oTC!F~M0M_d
zw_>$>fWh9S8*rd^_(bxx<feA^weI|}&iMdB5;(AAKBwdtgYXx|l!*qb0R>ZCYL0QG
zGS7A;&4tKU=WCO<rgM-Kxd`-p31!;bnfW{Sj3hk5NY)|*K<(EQe1F{!A)Jfj)s$W@
zAmSTO3TbG8g~~6xw_rL>z%5>P6sc@-Ud{y>9M<7~yE2l|7XWm~fQ_^lUmG0glw-rX
zR3IdgvL;P6xMR^K1mI}(L|(1W`vldUeqXsLemfNtii>Cu3N#XNf1E=j=g6F?ru#y9
zw7{!)>ol6amh)ZUZL_y7zt3d3FXPy>``8u1=E?Qura{)=?^*8m^L-hlFO(Z5qZr?2
zue)=03ausBRFf&FG516bRV^L?`}IScu`HBP__Cw0U&4`r>#wa=q^Tk?l4KL9M*fSG
zQx)^00$pCWmV1FC{gWwYwj-qyU*$f-H|raTa1dV^p<;y1=M>?|5<Q_Df-Ue7Mt0c!
z;}4cte9ww>@+NegRvz@r`m!VxOfr5R&xXRimUd7j#tm+M=KT2+5MZ>ywBm~ePWGxw
zXa16`CKcI$X?I({x5}M^hY+l@UQCCAj|pb-%h5*e+d@C?4Mi7VCB$Ti1%=Kte#j;(
zQSMg@R}FO<{*&7}z7UOwZ07IE0NRUVb4}TRyx1=lW~0SUSS=Rid{Dj=E3$&jJ7sZ0
z0Y_d=$oupe(@vCFapBGE_>nW#ak#mWv{N$@8DaWeSw5ig?b+{BviiEJf$IzHBm(op
z!K%SwIZcaP-JnnN*uwgLVi?s5nr-5d`xOe1E6<VaEy5>1+*oqCfFuLVMl33c1-oyI
zQg&e}8f;=@sg8k>3!jgeh|w-`XAV6#Fm>LoTj2mV{OuksY=mdP22QDJb#*@Waa=__
z{FEy~jpfFh(`YJp>vV182YA$(jlr+NL}c<R1cKEJQRbly8dyn{13>OhtX|XTPh3I*
z#KzK?%r<WhRs&Yt-QCx_oxo8;^x!!LAa$Xn`D`%?u?uI*{Zc~;g$jxOam1N8Bk1k<
zHmDtzxhdOcij=hdp-SWNQib{?<E64iLn!b&X&<SLGY?@XrR<txV9P&ZTzn_fw;yEq
zsTOU^h^<oS`kVaKp`<e?_NgY>Q(!%H=-}ks{W1S&?9Sv5e3p*Q+Fxz9-cZZaxzR_A
z$gMEsFhNyPbsVJfr<r<~v*(N~EF_Z|3Q);9%yYhHdlwD=hYK(Y{>HlRz&qZcJHc#<
zPwk#azebtt0xWTS{_3-^F2AQ~SO}QrJCK&)UPRi8c9hcQxrgN7RiIpblmtmzx~*AB
zJgQ+W`yEShVPXqsfE9mH1WuGi$GkWKBfrBK3Jk4tPkb@0;<d_!rG)3Mz3Nx)b6uR4
z<s2UM!N-G&X5IB<HOM=E%6rC(Wc9@CzT^_uwI#xIBop9?3vZNY@ccn^E;k~+_)eF?
z($Xl=UROQlm0KQjSiUi~u5Dm@`sKorPrOkD?`+UAr@b=RYFv8X8-hf(**d*ERUG!e
zs}UWn=i0{ovzQrkGfx9i*YN{JKCaJ;991-DZ-&(Trj=8@u#?uI`JB`WhM538k<z%i
z5!<)Oh(u@`@qacgP%?L?_Q+a|%#w}GVh=<+!@9fYyzDf51WUj~N$Al6RWNht{kpfF
zDEvrp8Sc2E<42|Cjdzc#SU02N7E5-NdXdMfw71jWLqJ8{z(sUkUY;H)ezGi_lW91H
zm;p2Zq^%3qO)kg=gZscoKs%O5fRfToJUH@NN$l?;mA<~dVk5&pgno3;>VE{`?!1YX
z5~vq1o!s}GD6!={pS>2;)4q_#LwrRMIL9SxU7;3F?lI&TFcc>dSq|?lo5vf>O)8(a
z6HrLq86zRC-Zs<8__<;A0`|t2f=s0a&CmODI_>b8%1$)dU#aV6y{<lkSD>ZtA55{>
z!la$HqoCgG&F=bX$KHynDbs?(ga$TGnhYGoA;a_*j@|T@n8XZhSVa@P-u(q73RWTr
zvu=ry6w%|?`=aXIBgVLP(ndg_SA2@)1Q}!ZB{&>|*q!-^DAe<(@I6_*(ijqq-F=I)
z-5J;HhY9m-$^J8Nk;6z6h&_QZ_G2w^R|keNdZdXOsN|PAx5HbEF8uu0EsndoIp9Df
zH3>V`Z-`o7gG5NLKy~``cMmRe3a6v097eL@ALk>LcB|$DbFU`vRzYtjvei{wPm85>
zY>gZY<>l1FgECIUMQ?v*T-4+G?BL(~+QlsVm^jSM(ovL+s8g*n2e(J^_f1Kdla>7(
z`|YsROcMm$ux)VfoS{&SGz3vxQc^x7Le$@Up&YW4qG7N9o~y2WRIYDXryzyEd25>*
zvh<CV@Q#G!qoo~s%B!a%lyF4$CU8oCmJ23B=i#SQx~&zHROA^vlR_NDp1Q%{f^P}(
z5Jfal)15@+@6!{3lW%kpp~p9AxIIpFBD@m&Q*g)Z#Y0#NebZWIRVPV~&WI6ZnN0bC
z+<%QNS?Pb6B<)_R>cK~L&WmT9bY3K&u7fKP%PJn?4wR1h?y@<FXR)MF6dEJeAooQ@
zjMdD!^g)CGGW|A6_1v!-n*o49byEMZ7g|6{4}}fW;n<vr4k?yZQsp#rrFHd3R3+ZU
zRl(mJmi%&>7K`$sfxzjZmG%4NK@MB#gk_V}m!Z!XX6;uio2^T?wETmAwM@|j@IC9N
zu22IDRu6gF6MSMhuva;2$S<)@JGr|$N9Le76kimGUlQVwc%h8<_`eoupsz*Up#W?{
zqW{&fURnDd1>pPfbJjuHBf<~qD8KLX(Qt0w#MY*YVbCns#c6g_4O!?Wy#2SdiS7Lg
zworF48}R$BNr~(-NCI9~uP$zYfG7pBk)8fip-u!$Vmvepn~hAeyCm!aq63y^^1j6)
z5ZT0<*`v|qXq+)(Y?54b&WuM+!nyeNg-fS8d7&sJ(sB}(;gPLj^2%a<aR&FAGvsbb
z8YE(gtfvyHM89#Af5}&M{}}*e<#T?@CUdv8Q8IDNpecrQo4+Z*K=)hzBAEsl<RssY
zN>^zwF9hy)=PaQ@?hswKDyXB0#p2#N@(BD<k7wm7_@}ACi5XbTx(ZLgWqXQGNcavP
zh@-BNn+-OTy4xFykhQnBX9xblX=Hc;w~)pM6bS-%qY`dldDjO)Afn_OhazI%-2^?4
zzrYzaB!G5Dc3Ajn1P3&D-S@GIsq*z3KrHg)B}nbBh?y}{6~c5laIJIqX7!RoM@*M$
zyelYU1@E`hRyIuhktDVnnqG?l{@%X@0*Bd5LYFD7WfuloNLqx+;v5NaGg+Z;`Z+aC
z7rAj8l9J|GQ0DcbmuodAZOWV=qE9bqC=A$$OGHgsa<!&G(PmEdy)!LT?U|J4<-7aj
z*G93aDtX(Il_Yc|BO}k@XJokxiHGyK(gas<E1}oeNhBH{cKL{3^MeN}qdGgHwX%h&
zG&#H+-NQ>B$~t;vHlNg98^^5R1hYwsN^VL?P`|B%Ll%#Da9kAbB%@e+lKW41Poa=6
zT!9$EqV{1k4Xi^lb6Ey&%>xBBbi3E3Zy}1etP*v64nA%M?VwG1+upz^rV_~vZ)^-l
z;OJ>=RG`F8=vLvC(e6^_K@YL&Z`KSR1z1Jw5vhPAJS0!x&H1Z_kZ-p%%U4)~M*ol3
zrPPHdDD5E2=Ak;;(w(!*OFwcV8tpcFeOffQzbqgo*m`IYwEi79vV^Lt*BEIMzrS9w
zDQ(BLD3EaRAs&x8VUes{;j&XjYr)dvyAS#QbYP-bX7Nj|B`ve1N^mb+93AJ>W~*uC
z7AB*>$eKoMgERyoLd4LdNz{g`K$rbir&l8b33ceZ@c}5VhTr|qvrF(dL-W`V*=C@T
zQGuX&s1kgmYyh%lO$`gH0GR7B6r0WVeo-q(I{fzDZ{^RpZfln6xn$F3jWZ$3Q=;mW
z`~wI1J%7M)?uLy?7k{OUabiXy;9vjfza!~BrsrLaU*I%LY#ga6vW6(85In3M&w)e+
zV-|CTqe5B+o26=Mg>Mt$l_LPA34nw3m%xo>Mm9T}+Q+=L_wY2L=b3<a=IACi$F&9C
zGCxrrF`h#vi)M3oOlt;bh~Fb!pGW*mkDFX|H{e_)tUJP*kU>W0zduR32A_NUw_OF^
zBTkYn3)%m&n}>y<9p&N0Z7vRkbU^|BFz29>e4VOf^xYSB?|Yq$-p^4q*lss<@j*+F
zU5?M;u}j2a6Ne~t!T~Vp^3j|lQ5-bS{S;xCa5ee2=b=JBh6ov(AThLtHJxvXHZjFf
z9_Gk#!)JK|sRG3;OKxOcJurzC77U?0UmkVL0d8MxWPSyCOr|pig?vG^|5Bff*0?tu
zg^81qnmRWy0M4id_FZ3Heg5Y!=&%jWOq{qy1rzsOaDiO_-xxIKMezHmBs`8Hd|(Jw
z6}0LucV+=5>`EIN<~s%nEaT#9+RD1md`<13l;mCH*(hgK36FjGR!s&v6Wlxfl_^91
zDuf}9rwO_V<9ic@;~n@ovos?MH9g%kNL~0eRUX1!OsV!;H`#;%`~ln5NKj(DSOD_p
zI4(s2m-g6K+dXehOkMvVjXEd&wZ_U4a*VuUc%8g-fgDz5in7Gk)M=i|8o3fX#)^&U
zjX-N8Ix1*1hO!PvuPgj#)ePpWxO{<k9}b0@PCBB?dL}(KV5~+QE82jy;ZEWRp3H?D
z!p)!0kjIHAYHSd>^BqG>zl5BcSFlXp)OY8_@uEKpztg_1w>osRW7eou=_k}+m=)tN
zD8)oOJN-R{_gUizOrE!qR2dXt7Vv_Pb0sB}Z~qi<(vpxKNbuB9eIFAc$wN;aM*}Eh
z0LN!k=oA^|Mc^BJL#~ca+9mX2IWeeW`3YEA1cG<|x#brJc?gt1%#gp?ixu~2;LoWP
z1@Q)iWS1#wtFj026n10#Cv%cqbC$S~yMxn5NC2ngq16|cmmkP&7c@ySC4sE&vw4C(
z248LxDu4GG4~6T*HV6W0!3+F@4Dk2y5i$^Vw+(z>GuT1Icv~8=DEN!M#q#*|Rzdm-
zpSHn~5EMQ#CK<0UQm8b`!3j}O#%V98Q!qgyyF?lq4?FR!Q_)3-7nmC&q>gM^E?|k5
z77HjELS(V|p9}b;UmL-FgAVjclA&y>t7Fy?cmC0TQPPFy6poF(q_NG;t%BD54BE&{
z7EvZfqtrRr-p6Lg@5#gHMiT2x!bVt+g@0ckZ9Z*gs4wGG#CIE%Ckj(amXY|E@7A@|
z&|X~%Q6668A0ej16v8sr8K>7$ZHXz%0Sz59To7YkT8|<-81*T-@pym2T}(Txe<!`9
zF7w-0D2Z&hDkkILC+c6SC8oLp466s#+J4DpYbzHhl-{4}8O3DC_-&!XxiIlCs-ezu
z_sHEs0^()Kke)tA$?2A8odZ*}Gt+~W17x*=m@AQd;i7>D;f3f+oZIdKxZRj6quCS~
zJ+;d^$ti|8c#z+N`Np1c*Lw!#lMUitFp!0|b!9dj=fMgV=v@TB7at#=0JAL;l!(5F
z3caC|m1-SexgDj5vT}k1+#3Au5*TL+z)XV=6YE2_6Hejz2^$_2ZKY9K!Jwd|W?v-A
zL5BxEOZccoH5H{vFbSf|Uct9!qs>7WWtS4b0wPSIm;L{|B^c>0WyB)U>8U3hf3nmj
zjVY?6I$>5D@N+ADnlbr-BC~@-%SIb!;|6{zu+fOIn9uwM-4#`EF`!=EO~D$-cU7;=
zN(IH>@UEiai9pjcmEWKLnJtakkLt!HgB4xPR-;C*Of4hBmn_<^-inIt0u;azSaSc<
z>ndVw0eOk=eeDL5F%<X8qWU?~zkbDl7&t_*2o?&k8=ql>P4)NiLnaa8`7WmcNCc6O
z<Co@X_pRl8K3Jw;C(u#XC)sgiT3(nxFd&>L{}$F=$yGAdQgrd^(Ke|}xs{0f!ZZl&
zGvfP<>r!GznL>FsvpO3=dNVpArsV+;VZrU@T6_Hh3)=}$2Rw&Y_<s<B{cBCT5AguP
zia<V=bkG(KDlu_WC+0wm()X$gS@Gv%%fUYCb?D0;fSE*AKRtN#AO-hA2fm=k{9jFM
z@c@?DkHB&^r9{ecmQ66MyXvHaG*F%*sNDHI88hSB?QI=iMpc#%o^0$s({euh??Lbj
z`<!-O^DGX}ketvvWCS-Pn*3lc-UGHpzf8X^EV@`^4I|$Vn_|00h6Pjo#bhcgZiO$C
zajMa2HEODSn%F#~6(LOKWihZ<mS|QEN_t~ZcWgavb(GBXjDJ?Yi-3wM-QwR~o+#H2
z>uo6)!OWN&Byvgd@*YYrrR7R7IQezj_3!Bm+OATLOmZA(kd{pJ7C(z0kox75=bK<O
zx2$PkuWvsgEGU?=Rx$jE)CgY)1gLMYpKp@<OKh;k0D5?DA0_e~`e2Lwj)l_LXXwyP
zI6y4xD9b8*kc)*L4~^4JZpk3oB7zkXUSmx8N<wG6ikIcb(`PKubd~#t8cg;gXvkj?
zV;R_JG?NGPmuas>B-iw{v^+2ZMomU%UA~oDtv9aD_QhuigkamF(8$3bbE$jP#-LrJ
zFwhrM(qoCNY+{*)t!1Urvf_CvB1yZPcsxv?Fj(F-@5<mI0Se7S#_TS>c2JXLv)f@z
z4FjpqVg!GoRNFiYEu<taP8=%1R`nAr!lCow|2s<2D)r4{52|*Yb6J~Ygg*lz2sC+r
zY+A_@{eq5~-F?`@Qz!q1wuImzt^$VZFpw|fQtFFFy8g^cj85oO@(xoAfQ&xCY&|tP
z5}P<n-k(V}ijBuCS12g-@hDhw7&bb}t{j>f-l(Yedk2IfKfcNc3JP`roFM|y?y}W*
z#l~U){kS$4XJ@yB2RQUy!~hOOpNn8bCd<uw<DoW+q_Ih`=7kg^>b<3_>&*s7&rx)%
zf{7COCMy<`K(l6`p`SB%zkcoxK6RLB%jh6Y<C!pYMaWb_&9CPgdbI&KY6y785K#mx
zZOh&M6^cjH!jeL?ch%KhM^?nw*4Ez1P~Pczcs!|TdKGF9&Ls?gzL#eX{BM=*v*Vvx
ze%0PgmEGgFSKH+u+)%oWDK7;K#gV`-T?69<oDPjXCX58MrC;I+<*zbT0{f`mTcQbp
z2G^2RMo5VjQ2Hwn!$s2LB1khiX{a`ey%v)GWlgo!TCw4D8Tn?jW*4UKR<!qd^o{~(
za;ja=3W5JVQ<4$^fE<6Hef`7)c*Kbc8kco!d5dBWVgAZaL>IP{fB;4#Oj^AF@;Wjp
zi%<D~f|}BW<}OUEo;8j+8|W6vs8GqDkJR{VLjw))N4I;xU~)#-?axntAZ!h7bTJAU
z*`fZG@@$V}KtKSKiCt;xc1_i}ft-~C4`JRm*oR&cZVh16QB_sv?%}bMK1fx9esb0C
z$kcBGI-l>)PTGt}Fx}-mi!WjU8^=KWzvYY0d<MxSzW~iFpmoTgeyZgU@J@pY*`C0v
z>GxkSm?U`;zQhWD$**6(=&%qzn8A7H|69MPX9`I>CuGH0-8l{?aZH8d?|(ZuPcx#o
zs{V5mB35=t4&lcD-Qaj2PaB!+kSmzPU0^L^Jy67I-U};6nS1+-N>)eC6z~{)eBP+C
zGC+Zgwt-E<cWp^-?Y~TEq}C~l0Q2EA9%1o4iuPa&mOC~_-gTy7m=-thhjXu-vg5-1
z$41aFn;+(QMZP@`o@Wh;5wXqyKy%g_e@OEM?8dPr6H}gxX3~y5w0Bdl#tT{v{M6N0
zQUKV?S|LG028rpr#G!$CleQ{gL01Z(9*jx@JS)q~EzWj#cXeYM9KZr^3os7kpI@=v
z+S(d{+e9FXB{?qWv=9Awxp7kJ1q2_UFk}&uF$upD%Lu827<fF&#W8V&LRJXeuQqv`
z-7c1wlm#DtdjmW!w|jgnl$7ETcDVt3U<tYZmkcd!mDK!+MqkW8GO;mcXi07GuV5tL
zwttT=vs!@ytDK?~U<%O1@+@L6ziYI-HH;E(2!CBUfkzUhf3x5qyTgQ#^jdq7^s<Q8
zFiA6+V{LkzlKw;on3aytcc{l@;qr-7P?(9*SyKq%kS8$d{EqH<Ls@N=w~~S5PM3+u
zbLyN=4;6^P9*REJcNrY@A*R%UxM7b)*ASlz5xVgqs(b_v4NYX4_B%WOxbiwuRH$Ka
z5`3KMh?^D2A&gc`8;Kt^4fS0jA`zP5DjD&vu)?3GnGXpG$@8|BR1rvkjb#l1Z{l9!
z+*fz2V8CAlTnLi~GDEbJ^dq5a7)ru5Y=wxB1{M_+r6P5o5thw3kN<>+za-Qid%Xb@
zyVFKy6FdlJz7CgQy_)<3o4Muk?*J0NzcW#PxlNKd0>MLE?3ykOJ|w~IL+~aUTxtgf
zQPpG_BxcxUt9>6f40IXjzX&Z5XxO=r%E=YLmVtX-W+BNVlXVr_Sfp<M@ESDw;btW_
zii}DR6hm`LKDg&t&K){1{^tH{>bg(!?elsq!vO!9>-olsIw?Jind}hysT{aUN;ZsU
zU!3Z##8F&z4)=6Ip>zc9HsU^P&(6-q<<;vbWsj06v337}6WSd<!FRleYj!<6H6HU|
zGy7Q?`gvXx7|IIQ!1wd^4x%u}<_CHzq&UzYgX9DnS9Fe#ZJt%()sxADoC?oa#{aI>
z)u~CgC`kF$t5%{Uy3CN`JhYW0*X6r(h4Rzg9v%i6rn}}RiSoa#1f~1P85PPV0>o)u
z8n%QCD(}W*NefI>C)zSyB|3dv&F;#simLDg|AUi%+@NXjZX-s<h_o$2dK1r7hz1Ak
zoI61mom?031sW2<K`f==HSIa#Pv)><`cd11dybG_ClWj*>F4vPFtOVzCt0JjLe9})
z2b5uv@t-7ntE6q=516gXajW2X?$7RjX!!bKd7C#Ay3#5-r>k)w(b+wniiGB17U-H=
zsypc4pE;|UJQQreaduC-Qfk;bhLN|^ZyBG*wicOrgt%h%pta(dfWM~yGHK2T)MO}n
zYco-2!CHW*u}t5KRoQOO8y2v+2Htg9&LU}OX&CD-wrQ-i!&HY6MEJ>szXJR>Pf*e<
z#ncTF%MG8RmZZ#iLDVldtj3Ay*xTS0n*hZF|6c(x4-S)~16KuJ<{Pbcc~;oq1|F(_
zfSvm9A!`rxc2r;e-MQ#b+Ip1N>zq3UO76Y2k1vb!IWDlBc_&Gj<%RJJSC+YfM4nHf
z;^V`(ydkogo^vXv--!9#5q1LJmEk8VftYK@2RYF2tGL}31J7(pEb}F*F)mHX-<Z)&
zOm4iF6iP71>OYoQJq!XP;WaffSu*JvWwib--`5d|?WhIF%IhCMD(23)xRPL^V7d@v
z5|Bv3_e-howB<3er02n5yfsoh$jzojrn?X+_xue%X}sq@zs4IXd%j`aOJqVor3ih;
z0^kDgi4a*^k-#VQn-g1_!$zy3S?t*YQcCVbWtBB;IXei2$|c^_m_baDnyvRKKY;L>
z8t!&OIOfQ`I&Uqg@DTYo4J_>K;m*FqorhAHIi(OzA*+KaQd?LjXNe}>i0SL^MBvOQ
z>xd<$_JfZl_kDRG82hU)aI?I_9Hoqi8a4%^^7RFDyykeN(3Od;P3+Y1pLsux%`7GG
zw94!|y$@DU2<NwbY23<>Jwv|#N3_3z1&v7{L};}q@LT~}0#?C)?iJ5^-Uk{5ULhsu
zLC^%H(Fq^7_qJ(N|AH@r^K6zXhmi12f{g-zaFXgBkN>oHpeM3!!U0dV6Zz5oHCP)2
zHi?D?*hZ)M(XPGHl^Q~UEw8*)K3EwNKAup)Iz7UCJZJn-7|7kFwry5B0$gHr9AcV^
zV!fr<C6?D$^aj3B%MC=pe+;@ZQM1*RXLgn%>%76Auu?f+j<k0CSN=X(QtR4}_L{u3
zE=2Y9na&>196V5r=6HB_8%)!|PDh~fqv+%&fEm*XYHBm83WRS=kaV~wbX0U!rG|@Z
z>3>;)Fl|f;Xu+U6C-oJ%6cwXum$$QqgYpH{6;Go#hbLdF?v34pKmEv04u+q9>Az4b
zn5as|&C191O5NztTMYb`7nIiqg_dwJ=@{#K@Fdq{zVVP(O^yzSWmve~{RXt^JC8rt
z`+<85nv&^$f=SX(c>pK4YtCK%h(ICg#1Dktz3S~1(uFPh|5sTy%hhzvSJ&WHn*^W?
zNxR<ebnvqL0iLKKLOfFfzRT5-Tt1W_$QGSlNWcwLin_QJ8?*mlC8GuaIaHkSH|;`1
z5$+Lerr&nlS(kf89lhr^F0MHSysuisSD#w9ZeCBXa8zyPc%~PX2!$`(ub-H^qlp51
zx1IV<sFh1rtw=EOC8!LE7=OL@#5a9h$%ZP?es%ul7?X(aAjP-S2rksi0vt!qf<%#!
zb9!v%$s}`Gx9x76+yl|86e+`CHR9Til$o!-pqcspU`^5<Rl;>9Q&He387i=*a^cY!
z*EV?&&mZ7-f1bb2Q*sC+CSI~Mg94jo5+p4%(Es0yrT2epZ+Fi;(d?Jy-sY4qhc^Rf
zP#8m3$wnAM)N6#9ThL!OC{l(FmAEpX4xcgZsMfYjG5tEY;iXM#aiL(5aEFa;Y<*28
zGbkrJ8RXMV$2-loPGquwb!}fKWSv!B)#iyO#}OUBd>|EHomZWMU*2^m(-RY~9e;jA
z4Bb)zxY6d>GA7;HO5j*QSAg$>ygR+lM-%+%%!XIc{hD<KJ^g2{y)Z^!fwmeFYwxZ7
zrL=14YrO?!@FNe$InHWrH@4e`TxM>$9`#-d$8p0FuEfV90Y<Kb%GdnigKCVGTJFT;
zSvPa>5FLPxCH_bemRrz*{l7!R@RC9e%!k&vax|WwK0Hn2N1jcm^OO7jBjfIqg**#|
z^;VQHie#J`Gs_&YMmX)!D}{Q`2;28~YArd>@1iV6gQdz&v~oYPl_+@8IPN{v0?JUC
z3BQf%ra5P~G{I|pht9P`Iay1jds8jkr?0RX!0d{l-s!+9lp{xs0KK1dlZ*$J_0NyK
zXa7lU9`EK~V*8ddH0cw+w<Jh~+4-0o9Ch5&AkG#Om#jpa1L8+h<2(2Gvx=?_CQ4pP
z{N*KowX(9R^jNOefdceG8g+~wyj1Bsb82XCLs<g8PviP%Xi_sX&;A6X{Gxz-4Xh)d
zCi7{0aKgkv&b=N$m*?dE?(VKt`AD!QmuGt+$_bNdNS$x%6%vB5%1TO7?cMQ?w!4>Z
zQGYbCsQcwGkCHdQ?z}~N+YWkrh;zDCV^S;#^ge(%VM2^LuD!TJTa`>)$G;V|<FHCC
zNE0k0l!&*Q`eXKGqa>A;UKJ(Jb|HXf-H4iAfW-u-_A6<e3qpCwFR(t_mFs4FS8OHj
zn;a$Z1qRS1Q+oe`t)TH4#u|WzQ}2%x9n4{&fiD|`zBrXXJ&;X}<T<M1QFfB^M1#L1
z6G?TMY$vU@R#b%_pqu<L@yfF_(Gu0qT!?2YqYA4Cb9;Os5w4_!>0=l|aj=@{;VHIK
z2H{FAQ}ivwk`OLb{S3EHq*c(Wgtau&8MQtqhY+P7^Cg4B{m<$=iji!QGdj#|`dHsR
ziUt36qzEnFQWcFhot5S2^mVVdn41&1I)@wS;?c0;ie6Uz`v&7KO5DpHY8VU0@z4l+
z*$AUec?k!}<tYIO8)sHbZ5B|QMFNDSb2#re!<p?*ravA)ide(Pt>k#-vfZD7rHyj@
z+9gVi6juLF8`=KjmBexP>|b-A&<x6&@0BSy5pe*met!u5jjEF2!A4c0&V%sYT#=j5
zh7V|5D2qRCFNO6*-sh$)2@C6UMzgc|5yfP$Tb^2DG}41G)8`iJ;dFDTk_W9@Bzz!g
z-F(w~sKvp9TQ$UL+y0DbxClPB!^seEfWsmgvRJ5x8}jEJLbt>D=rX!!6LFUdfRBC&
z=ItkScXv~$&G+YeY-gQ0cPyjLTL65aMPLK@z;LtTqQO?LpAY9YY%R3Z97A;bSRP}R
zFJ3li&k^@21<%6#|8M~gB+Gy7A%;6{_-v;+2Q<rUAoVv})uI5j#viM2tY1UcABpvR
zvce#4tBX4<&|J(Fhi;FV^f&|&uk~F!{Nq`7clWG!^OO~<knee-FKCl@9~3#XVn8n)
zXuLCc-Ms*F#mSsIZ$l=YcvMCm%dHf}KYLCRIoPO69EAm)XV1(+0dJ}eB7DwtaUSFg
z{ugTTO*ZuVImIP~$OMmHfm=VNzk61}(BSh^t82M3DW?BBtq!dy<G4+}*@+tHW~H~c
z9GSV}`%}vkmK^Rr)PYVwHW`0$eObSdkE{Ta6<9nvr`+vRC;q3i+A9t_N#pugn+X4B
z7xnLamm~(!q)kOhJ49kXul#1;A|^@YYi8lJ3VkiM4|xjYrSVxEPti^2U<b@Hldm_1
z{c_v@N1jy}iqqyNRG_q1?$PrLBR_#pTTO|(Sj#h{C?Q?_iKXz)fcB4ppA5^j`WMb!
zTN~g;4j3zV{@{ILYG$TCgF8u4G_<z1b^#V)P*atgSy=SVp1Fb<0C}vBmtd2=>AwAF
z`eVQ|9r{)s?F4+=hTr|~O%-b+C38G_4jA&^62<)zKcF%et$v=dU^{%=!Z8kZC`>K0
z?>=NDAjihbKMk1-o;HQ8FJBotY#K)2m7zGw{@q^Nl}S_S2~(!jd{$H+_+_of$K@^k
z$Hh6P?iBy7Xf5@|yK0V|!#dJB2T2C*iw3W>|EH4;^mAClr7T4po#c-J{v)0){L&jp
zjN@-{CPmRBMxm;tcnOOARWX;R%2P|(^)px#QY5x)Ke@YZD2JqiEwe!I54nDDRrs)@
zv4unw2kC+sfc~RIde4-HT|onjLyapuz5q7!J~tERZi}7Qzcm3SNDtZg0Saq99<Z=$
zj)ZtwMwV+>e(^O<shaNZ{a+>z5!NLRG9u?zxPz0!TicIP5wj{-<6NR$&cIjuXf`Yy
zQIgj>Vr`M_HmVdpq+|vWEh#nQ*4H2E*h;@_Oa?Zn0O9)dWjrklX@RhNytt{!g(46;
zwqeQ3%gg8P{(fn5bF*Odzze?LBl1+&%*;&qr{%{l&6*!_5@vwjpBWiX!r)JCfxTIL
zKVBcm5=NU6SRY?1J2Rq0(mZe0za2yW;Wa>29zRs8>GnP3`QZcf;V(8xa1yasmy-+<
zATDer;EVVR$9%~kU@jy@dHuA!-<02YTqV!E(D7g@cU*ZB$)&ZyX-bh#-4LmuzNau;
zI@@l;;&vWnx|j0ZpainZt%_MT>*6*SM!WCCQq_!r5116!co>EW0WTz*Ed>WFmfmv}
z*6Sfp5f?>Tvzu$;n3l}86!-kD`pZE6niTXd+MR6pt;fFT@R}{h7J&v`=EohkVzL8a
z&Fi03H){A2)3l7#8sSA$r><7lTLJNO-Y`7j2z1O7a9C(}BFeh$??0YUl7u#v7b`q?
z&0$g95Xnc=-ZkLS_|d-TPs(w28dcF@OfPyCP<@a3)gGk}G3L^uQdr5$<cWKpS53j4
z!ND^yZr*TI_Yi@xOJP!c=(Zg0x&n2>oiHq!6p9pR6&=oz9KwFE;Ic3Ddv49cz*|Qt
zEF&36j>kI->D@D4^Ti-vMb>jDc+yTTFJM;!htO$T-Rb5vMMl+Ih(d8bkx;W*+leTU
z8E`r^Ik{mbl%JN?0%6=4Zn)(%N<=rhRHxGf8o=FvC>TGuwM|YNpPJfCvF=fWr&+A_
z&Z876UXRaf-wum<R8skilu)G2QbO=_v&YiBsQ;0Ep&Er0vrU>SNws*UL_xKhxZ-fD
zbcTzYF7$)n%v^qD7=vJv<$7O1G?Ps*g3g<%g@|?Lxa;a4JqYSCdR79VFUni@*Lp{}
zW#&W<Rath5H|MwVlKa`eQ9c=T=UgfZQwKTnX1({O7wJ;?Cs<Z6*H}PTTLF9XzyVg0
z@X>eAv+poUt!}zAsBtehe|v#E=683oVkzOh<w8D03^g|Mf&nRdQ&Tl)iCFWeS^>Re
zX|-$Qo$+fm7Qjz!xSHSRC}N~DMc0nF*N%?A+oiqFzVjL|^BK!S=Z~Ft^)!DCEC2DO
zKb8q0D$ifu!I^CKW82A=u{KZr(Kyc18Iidd4cD_sF`|ft!(Eqq#t8KEwp+H9a*DKX
z9gasK&~ajEg2+>xICKUVoecNoEqWU|0~~pzm=Hf9I8^*y16d+4dAEz0@IL>IfznDZ
zQCr~P&+-m0PjCi`mXU{~-{#rSOohv`DAG{M6zR+iCS74wDSM?ej2mNxRUb<^oYLLP
zy`I;8j_rli_?dgisESxgyZt(N1|B|u2os&Gc|#2aE?PszW-UnZ1Uou9L;<=Gq!bhf
zzbcon?_V?lV5;&^<7=^<rvUNsttSI<{s|;muvD3!(zkGouH?$O@hG3AM3MP^w6X+R
zE8Ed{HVS<O@}$bb;uZ4P`lgB(0(P%=t>3Nq)U|@6%6pD>O?r5ii*+jbZawO}#y(bx
z6CYis#|$4{IgIPg#Sg5KADP0q(zoMC>V#~T@G~1hJh}HTx=kIk<M=IVeu{pwbKh}S
z9HMBRpu=I|1vPjxsEd@rWx}nJ1bCYrdHzV*Kq30ZALei<z$j?Ay&80al1hzqQYSFa
zAV{3-d81@{MGpH_KQcK_O|ejIn6?tTgj>mc3Vob<u+__tIOAy*t<mh@V{r?pOmF<S
z`;aZ*={JDJ2V1=&ts6bM(fqI~%i;bM0x@N5O_RjdTr190A{<bFC2C9|mNU1`9coNq
z9c7vr&8e-K>?8?ek(wDUB4n9WxqbPCKKUvE=>a}DH|{m$6c<<NJ0b<llo5X3@#41#
zDZdAB6>$lJvB)0j{X3U6uCOc*0;uhC*eLOHs@QEh4W2Jg3Lg-NcYl1*r`)QG979gM
zkG_vsbxMF2A|+63x=Zv_=wR8*djzXGJg;UKJ|_;@Pu;P>I=kV3lk6vmgfsy|znb`0
zh+Y4L+S1r_Ghwjv>(Fa9+<0hu3=ctf$_b?1$L)%I`5@C20e_njpcnT=AGcgj2t1YQ
z#VwERh5+@#03_5?&s$CqV%ev&fp&KY{icGR5C{Hhn?us#eZ_CqL!9uhv{HkTlX;4x
zN)5si&+76P`An|hEwtkDG_1^tS1?#Hmklp1k|8N>oRodBkei}-I|~5~-93F}FJZPj
zN<<{?*Khh?b_3(bOuBNNQO-BZ9FuW%MX`>~(R9^+(vxsdiSqS&=;F2Ogm2r8g7s$1
zE=o(r1*2#spi#FAs)EFu)O`o+Ll$I!7(Bw1>3tN<t|-r+vm}NRUNxIgS~-?~u*7HW
z*JHMYUZ{UCVNvGwNGWW~4|fbM{ib#_*UU~%+cNh2?XZjZ%kEqv<Iq50WXbc)5vH4t
zy0%i-4|em|A33Jc^j78&j}&ph&q=GHqy&Bb#Du0kjmsSu1GUszF;&G2S_2u37KStn
zW9LYvln%i8+)z`KH2XovW^w=GlLEabQ0;WESo3+`3>G>!|6LEgPtr>=Vj7N;NtKYY
zh-f}RO&9X3E}VYM%3^$BCK8I*LionGX><@o+8GX%O0=}=74dzOU03`TXUggTas?Q7
z;&k11HoarDVrd=36>BWqYt-n|+OyRDFUHO?sLe0x_My1DQz%Z0I}~?^;;zBn2~Kf$
zcPrN7S_tl5+}+*XZvOAR@Au10_>f5^naT5<v(MVUwYH5isrwYM(E33!4@o*N<IW!o
zW1GWcvFZph`#J-XecLk!e0Mw=rGA$JuPR51Bd?qkRwq~oeJO`&`dx7i6;|Ha_z2C9
z9}4x2uT*I#_~<FRkfiRVoTT3zXx7W#n_qb&B1>Rod}ol>gS8+BF<U@AQ~)atK3>nk
zF;qZ!YNd8Pjn%}P^im3-i}#}Aq^fPb(R!}J4Kfp~Vdd=p@7nqD>FFu_dFx44e^P6L
zOrQ)8s8kd?GtyX24?PA4RepAwsEUv<>O$O@gDLkd{Vo3AMHb$qZ%_c9HZLE%0bzR<
z!)dNC_V%b*V7wPso|LZz8P~-(xbAcm?~~f}M3!Rfe>{UTe8|6)8@l?U9f%*&@{2qO
zBC%FzA#3wM2{asy@KL5u{%qzC4(-JeG8yNtmG&5V=61`G2Xwf}XDa-z{1lZ10Mn|d
zusW0i#j9cdOFqYRI?4ok#NGv>?6p0Kdz2j*RxRZR2UR_RTNc<dLM)+vuJ7m31WDvn
zP;-$#0jj<}93t=_;c}pR?2HJZTqeXd{7Z0>UAatfuJi(0WObJ--Tb8S%9d=y16tfg
z6%TBlVO4bOHN}dyui?6?iRHqnK8rf0oELGD*63+ZsR46EPY^Rri49Qv+fX{;)6$!U
zpj8`FQ{$cJ9jsyWJELH8oZk)i#|7ob6(2ON6a_{A)Wu_Po|E?n3js7d5G=Wf0>>Fc
z*ZNXhuB+C9z11x&E%6YKubn}79V=NK<=RwE-BJ3>xxm_Cn&%*0fSq3>d}w~A#%3t0
zse}B{_Hp)JGiLy@zJMCP?DKTA|AB*)Kcbbwutwa2SUuTc!7lj#lL21ygRPO^WZH=Q
zY#?m4ez@5;{-Z&~L8VzxN1zL@`ae^wwtY?R<?91ojJsAj>OzSI=B%m{(rh159d>Zw
z)cb6PAphmEAGl@bl-DMd19e;=2oaax3T?fQfQ&2;`>nE~qEe0nDBmDIDPQou6h7nu
zN%#|)Y1o0FB9OxKZKuv`)SP8N1FA)RrlACKkzLTJ9xyhqIzK`FT{|sxKHVG`CZ(jL
z*gm+{pg;}=*vf#+8#Q^gZkxicnGcKyXMJeO*|Y%owRlsWy7gRvDzz`ggbPS;6-kY>
zlMW)OWp&cVN33>%!<7B^;#7q?acP@8iu8_1CvG+uUkrG(V!2~Ay2+4KcX$*|p6CN9
zG-yWEb7CD9BPD$z#i|<}5P}e+p#cB*BB*TLDFw8ZtlCa2%v<9l8~bDN`biLpLmJG7
zjihmghcJla3*u?+EIYamUuUF&vW{F-cuoH)Nvrk`c+D#Ur|xa=kP`b&#ohfrj8^q1
zlhcO8zL_umaHB%~_jyJIaRvt66njo~e7W{lB1IH=Bd5(T5_+YEOPb4BheS6pRhc-R
zkv*5IH?&0F@KSd>?+BB6LpbN`98g3*>GF)&WTcCU35VJP3*!$xSkKY7Pda^$g#_Tg
z)wpOPwtB<e>33zBHI`XjOmTk^VMH823e`U`@cXUJzl;1U7gjw+t3X0NWL~@pp0UhE
za<Gd9yfYBes#dqPC6CA&X5xsSW{+Se2z@a`APVfpvhr_`=Yo8OO(#fJ$hEj+*wOcg
z`c=i|7T%itM3#Wq1gk~sM&Pn}FJvBFyOB|Gz~feCx@sS8g>1A`vbl_HAcO%2WzaBl
z45Yh?Ev2vw!~Q~bwW10cEtz~J1EjOtz@2iPDYvOobPL~_qE`?tzr+mdp6)KbR={Ck
z;)K@cN<{u71S@fM_+k8%G0$=z!3(bszw?f)^_x^q=4c>}4Z{L8h<9r(wlqFn?poTf
zGo^=35x>Yf^>GN5s*yQ8CUKx)0Vb4FYw`g!w~Myk^?e1De}aifm16LpPdYuh=B2uS
z$bX5Z!KC2Bm2Oz(&7Noo<c7H7>kB*U>*{RbsWFd;%@k%zXmvYB_okETSO)~9#PfzA
zrFc?S7V+5d@D}6%g_@C(K?b`?UHIQRN*QsyoBct5;1hSc5eSPc=>N1=PV1!BqTbDi
z`?9EJyRi-8V)CWB+w?sXmgrGiDAZ-kc=zYZ4~<re`57~s`*XH@s6>(QGn(=>DR|CK
zf8X5?sd%FPJ1dj6xs0?R%lFuOgmx4tqmnytBcHik0<Qw~j2)jf#+6P6#q5|^4$>(F
zcarbK)ni3zPuOn1SnXSwmSLgkvhv^B0)Y-|(Oqa1Ya*WdW25N~7Ar6|>o2U)<whHQ
z`)2Q~LOM?fqS<b6k^Se-pHV`fr?@K*AD_1`gyJ_{cBQ^zK4K}U4^)d-97~g<X~z%#
z!9Uk<$r5%?sLo01eb#jqJfcHEw_Ufx>#E0{l$akK2_H6qN?-jc^mQNl-M{nVXRf#Z
z3&}da&nMl7uoos8=0&elD#^l;9vr-vk$o1A1bt_$wtw%7-H+>a&ao1r8(q>L2|Y;!
zM5Mj3Yt*`h7K$EsKnJt-b$bbIV2^h?C+Xu=Ew(~YTxXr3kb4DXh&U6b<HXjI0ZLE_
zM{A*yJ%UaF9~?26!Bjb(*r93*Lr7Q5juhTE)3$OW6cSc$q@c#UFaiJwHVP!+g0BPn
z9O8Gu^BvZq{BVxF#7u|Oxv=12y8vmn!2|lsM1(XLU0oe9y597dwWy<eq?_9BfnVl=
zb^AzPj%Zi}s*OiE!xBcUhl<XL9~Ww|RnC;BM~*#@h)|FTMNN83F?NIwbb6U6{`J^Z
z-pA&uc}+^SBa|*Xr}Z+KW0?yv_+o(xadfGtkH0E9KBk)+U6bMqU9;-e1$>WQNZMF#
zg5EqY1&d@;WHXx#)@n<fwlh<))ljt}*aC8+M6YZ&530!0bF%(OJV_iakmpD2;)BT^
zWUGIEdoLFJp{}kPj#fN&=rEx50%<2R@OMIv6oP=xsMjZPthrQ(9-j6FiCJCYV~HR7
zVi(d=pzoeA%<3u214?41kF`j;zUF;vsVUu0K!^-->R6LcD|8So@@^aU!Xy<i-pG|e
zlyxRld_P-um6uJBm7$ek7uRJO$ZhqwBO_cC8}?!os%=An=w6gmL(Lt+bmi^P(Et9e
zg^i>tg8kGKt;8|4pYMujFJBHk2y#W8hQG=^fe>5o+_g>23Rl~Fju#G1zY?h^`;oH5
zJZU~8FD6HekYq*B5w*flzl?^_*S<V{J^lJ8R@Yx6RL-9@bKqBTU%8`mX~Mt;atQ}e
z!ouP}5<pJ?^w{6qi?~{4h7>t+;fGUob#+{T&Rk1krnHlh1w(&<zZ}yJ@Him~+GD;j
z(4su?yf|U$?6<id`hUr~?52Qm9X0jOGtEr;OsVyuZiyxs7{P?`OLXt!Cjd>oZ`c{a
zgwS9@BC{U1Tk#@eF^cQMTeP^IEyo7v7M=On0@Q7<>v~HE;@0OYC1j@h<j;iYMy9KA
zxm(IZc=8mHC&HD|?jeygQz!$0QywFnzXwHd3aCUa$XY+_^LE5G_O=NMh7b8rvL}+@
z+2_7CZMpJ<Lg`U8ahqKCnMbQhX66NVQ$*FUdb<u*!H1iW=Z20`X{vWgJ9I@9<yXNX
zALwJ9Cq0oL!t>O7Kb^hxYB~4ot+kR#baKm+_jE}ckJa3v!)++!SL7I-aw7q~0X{t{
zwd2U;Rd&5X8_w+o*~$r@32hMNFZ)1V3yG2{UnHN6YISo9L+iyqWeXe-ix}UJZj2pm
zVHik;(|?V53QAAFeV_QP)8@3M?&7xRSVwR>uunZeV6}NMI^voGh*u+VlHTUrbyZyD
z5?G3!r%<_*<R#W_52`>?l0g-G>weH#$qIZ!cM=U9eVpLsmfS4+`a>PiTAE~cV9n=s
ziLN=0kG>Q;BbIUp`nW?z9bASFb$Uy=0cdFw)oxIit~f18usfBNAQDc@Hf@Glc*o*C
zu=WC9ota9V?e!v<jaUZy(jUio_DUoUbS0D%ck!Vh{sY9DKCb^p_%W-ThjQA?>m_Gp
z*~sB5>*(kp=g;ro>H)}<n*5a=sfQS6Epg-;+lv06d31buorECf7jL$iu6p(F;|ypc
zeobIy_UR-#a0L9<@z70W=xRVo`!(?wf6^M3h1t3GS8RmQDj5u>U_XHYcV7Ki2omgw
zjc(2BzQ3>qL(dHX{F+I}Jec2>4@7dI?L1dbsa{&`y^#nzkd&<Rscyc5oFUtrm17Q)
z-pZ3e4OMR|aPs;3owL|_1AWOflYkJtEGtfpXM^)Y<#lD6dYY|oxG+B2#D_nB(&F<Q
z<<OcRj^XR=U|=``L9YS5uMyj<^wqtPGRweawarKH9~9bkpWU#8pxPUSHE23}%U%m1
zFo&^sz?+|~EJ|C+w~6$!P(`lXZffKnTlPv{F)jX&#Fn{;Y8|fVzV?xHp>V&8^#1bk
zXe+|1zoF-{g=I6O;QzK6Gg2_U#-A3nE_{G1<VHMW%bOe-Sq2DG7XFWtm8SDe8mnSS
z|ISAYi4<JNJGl45woW9(7}r{~AVhPF730jw<Q5{(@Te%qEyU#tA8aBt;Sp4(n`Xi&
z_|_(r#Dox_TW_^e5dVP7zm-K5$1CqA3+L^{0F+|W18fyc=eahRq5n<ug^!1gTzO3)
zsx=Pu1aNFWt_Nk+7J(JN4LH@bOh=6Mo*3HyeU}2nA$ldkm{6PDE&AtU5iKEH&3nsR
z?FoRSb8o}Li{l(rY%+G2pV_xyWFvbR0<+9q3g`+j2)`1UrtbcHH%?BT*L8P@W_48f
z_kK(mew0S1pZ9NWDYJ&M$Dan{f-Lsm_hjx|DAxSeN@CqOb)dIQ3|JA4!W^uehu*N&
zp_KZ)K(GBZ^w)3fdpWQHWEvq4PB_Sl`r1|61=4z9=yOEP$oH(MY-81it^S<5af=7=
z-chiVQfgp#YRr*O4}-4AWb-&r6~pbP(IF7s0-|Oxm8PJq!m(xaj4eI5ix62-(BpgB
zV(FC1Y-M%&lPaAt4s4dKD!Y7Zq2V1;5z3gqP;;PH?i|zJA^dZq|A%SQ+aCnghHPSU
z<3~=($KFY0%#RxPQv0ig=xzOKOAYs<aB7m^-upg8YfU)W=p}K_`PaVA8(Q$_9ubD$
zWD|X9#c{vr-{QZEea}#fG)^wxb6TZd78ld!Y_=K1w#E`oW013!L#qVW{xS7r_x<P_
zY7yd$gbRYNcFacX2~(ipS}8-5m=ZdTs49&Ed&2bJ4QP7IZ2xtD=pgn?HU=()QeO_P
zDj#>)9Vj|wHJvkqE&&id*|(qbaTk5T4n;cg6|1%wH55kFz=`v{>Gz?-MH^&7L$D>*
zWKhpk%lvh%3|%G+ljj2vu!mc!>~o5<Jb6pJ5Ainy-Rv6_t6m3F#r6!}W_^uR17ODm
ztKo`K0z-FqOf$!N6=h|5N_3NoWzjtPU74>)yYB<Bb1z=~RHyG`e1|1o%w}(L5;%7;
zYpDXh9l#ag04>u}lqh37h)U#5AhSe;!e4#h5*@f9e+WkO08>*_AGeBS0d&lV40AJ{
zkh%F*j8(_G*O)2D*p(B(zlU0%(LR^YYx<Us1hNP?Y!huXR01|$dXWzg$+~}s(6W44
zq9Vkn2r|(*@3wi)+C+e2-AkT1`WHZgX6zKZJ&4|JQfBeieDS?@Ykkfm0=t!AcX&ds
zbb&86_9tf454=hxnqZbb!`n=+p4PjP^Tl-@N_I-Xgvqj%<g9(6TA8K8u(kb>q(h$1
zN2LxfY3KwsTlk8z6c(1X3t<hD-`W24z%%KZa#>i<$N)X}5<3AcF4G)~quFG(OHahH
z`6%H4f!a@X!-q~rpIc26Lca7ovs<MEhu`2M6u*aS-R~)4ECix97Z`zDrtc`x*xWRs
z*G$NoZ+-3Ou{P{gic10)@};cV%B%buYFt{e5j-k0!4SPQfJSUJWq=Qfsw~~KsG`lE
ziY9>ink0>cPkHXo<llW>LWD4pd+}iBfgM_HV97@Lw<@~AwZ=c1NH4Z^ZbP6mlB9gg
zbOx@2!9yce)PX!{$xAv#j|bh@n3td*yxJ&fzLY?o`G4l42_HM1b|PkS43E|fibM2Q
zj=rWm=05b;SMu(>pPMrDV<KVTOc0j7B5|ORl$Q<OI1Es1^dpeo#N!I|z?z}Jm+?HU
z6Jt;CY=SB0jb0Cn=~QHXSi?ziK;rkEwFxI8xUbQ=QyFzbp+FF+25&jVg@;5A5WuRD
zkd>9i(Of%oL?UWCkvA<pUf$P2<HW)7HvS8G#q0D5+KfkQEnGFnmjIcHG|&z60K-WG
z6I+Qr(2NWTK*bP0E-?Ru320&Am00Lkn*#?sUiX<|uu)5zp}|NF_$-2d6NsqCaExm~
zl719Pq8)Wcwnn9o3BQe<c=x|!2Lx=^bZa?#4Mtfg#wi~mtg-Mln3}g1-*`%=R5SX%
zQI=I%L4~8-wCmKIOKB4_t%>;+VnRxYLsA0C;bHUB?=&6+3CbMdtC!_f7w!(pSo}u;
z3T$gyLVr%u<*O!E{BRoG><W5A=Dd;OxV0v-Y~tUdO^)u6(T+<gFD&jV&|ljM;3&Y3
zH6)Y!VP|&^sq=3r;ZA}!87_Gth*pN_9P1J3-(Z=cFZ+iakQb5yd?52ReOVPVkckob
zLG1cyYkRX_uL#T{#hd`#SX=M>O2+k1uZtiIKXQ8fqG$|l9B@QiIZFv4Y$lbob-MAd
zwJpaAV89oGennlb<VFS7Zbe(JFAT*yiKf5^OZ3xV&2l%4Vp`v%f<_OF$<K8CS!Qm}
ztgz9<EsxS$Zl&^YJ)ciL0US%}$tVT=e}b%c-mx4hKu!2N|F*CnWZUp9Cfy)1;<_`#
zsr%{qNjvhvD;b`QeLM;S2Z>28VpgejfGD{o4j>>;Fgq${1t}kM@aM5)HeO=r5@QP{
zHCT`?5z&TSE9CFf)JXNhMN|OTP6D9ayB@5FsT$2(pxJUYU^eV%OBZ?)C1(PRW;F*5
z?sQx_)_b3sDOmK3#NAd=$54@f1DOSx&)-@Fi7p{FVOD9EY~D$v_@OjE+@iPRRg)(4
zrm)HkM8j+*#OdZokONw*x>sXkp;iz~p-pAam)PrQa*w?dG1_*1koecqFRTJl0h#h;
z`;afn;X0gxvR^qN7e@cXwPMb_oy~<nu>OJoBEK*(605hOAl<5E6F-qLuI3<iaom$y
zAQ_)Wr;B`g?-pYoe8$oiIxR7}v6r3W06R4xr7-4L9!7o(A$SrU;D;mLU=ZdHpLBm(
z=G$P)jqW7D(d4{;U*Z1Xw$CtKR@@zSpYg5|@c%kHL52aeWv^KSTK_K#0Kk}nw?)SE
zMFH>}Fqf!!+S^x2iYr@(daR_(aM<Pk(@4|*TMtWZdbi2x;3MCyx<%ERP{5Q+NOZFW
zlA{erP_N8cynGhne;g4kr>6pfo*{r#Z3FGZOCQcrhhi}u=yx5IH~mTNomL|`H$ntr
z87=0&&3N$`$B2QI({AEjDoHZ&HG^X8VC^IC7x?uX>=-kUX#$12%siSJ_jav*NQ=`}
z_6jhhcbwH+ZImXdm~rNa!2kT0FKked!7W;tTgzIIfoV%N)K;kNqwP;&;r=P0Tk6jC
z>aUx2EL<pnRP?p&`>%Q<Nw#ERNYSCF_3}IBu^Qe04qDKGsYrUG{4N7WEmv`o^h;h`
z9A|?9=I`pOCj)-qv%?tm^9zJTXyDo;MyAr!#f9v+jbSrvCR1eilS8dJKi}8%N^C$l
z&_z3~fvvTbrI!m??)MjQ-^2F~v^W;nOD$s3<9<QTS$rkp-EHRMnM(k3XaI1GizJ*?
z105jVU^|}4iR~OlPVoSdzH%YtK#YC!%7J^^%9{Pd=zo1^)?pZX)lYT0PK5`Ji%%#r
zsVW$H-91u@mxWTKNTF(@DCrqn9P-i817iCbDoN6%`--rfjC2OL<aEAFDo3%0S8wX9
zQQ3#As?A1KE9KS(UudEc!J1A2aDC_ZaeXK?WZ?5}QQL-%R~6AY+^Rf_x}y;Q&D8qa
zErqrl>27#HfYUPzCaE}8v>j;7LCyMGv8b~6jrFSfd(ne!3vP67<onqjY**L61)=B}
z)SLv|Eb3ook1OYe;av=W(}w&DFXm{qfT*O7(U`(tP1_?5K4+!-1qVIl^S%OVO3R4a
zVnY$H>2<$fnQM;~e#VTZ#zTXP>2F~&ePHt9SeWx5u#SkWT!>U8d0b}Bo97m4f&l|0
z!Gg9e4tJ$z7m=7ox8L<BQEEA{rHRbAdg8^0Fgla2g#Tf=_l=#;SQQ(?v;J=0Ez)t^
z`^7l55y5j`{QMaYIqyLZZ0Lizw;t-PaiM)PbGKr!Vl$aq)A@~N(bTL(C$Ux_62VFC
zvcvJ>ej$b1?Xc5~tYO>e>xFjc;M;UDFam5bh5@t@%AWJ<)c@<NPN5+D_;)xu-@wqB
zqa67D<ymsqS+^o-vW3}5HdvN`;ImZ7<!VS0AV7Z*IBXvdRlQ5vkg9;C<j2it--PEv
z#llLdzuR3@dq;2GR|8CEqxYM`kb-F6kc%H_GQe_`4CS2ecP~9`3dmK8{60k|=_MQ^
zh1CW{G7Chn$0M>P(CPP1%eEso{pF=SC7ga=KU<HY&4Y&kh%V*lhnv{k?0%+$AD|>L
zBA8_T7Foy-fLwSg8vZcNlJEYmgR!3v^biZjG&rLC7Str={~!Qzf+(HZNj6s11Horf
zSBvy7jwKF1j-Q0Z?WRnvLSd{$cY0l*8@uzZGr+tDt*e;RJdn=Hzh%B)RBzzKqjm<X
z6e-)A5H3$*!`1~e+N6TpctSjKn4GI|tbJe#tP9g~#gooWX3KREw|c=P`9|UI{e!I0
z=Qojt#`{-=dHAZU#zHntA_*Ds{hc~p67)LShIp=_^gwJo{Y4irslTtCe^Fsy+&kvf
zv`J2A--E910vg;s;Rr%iw5yhsgg)^YLOIboKS|N|+viFfOO7A$P@Qm#_yIMA`g+p4
z<>1Q6<AW1}n78i5Jds=A@GrdEnCODT<Vqq*DOX0s>Z|K6ysNoKX!4c~kM^8`;S^~u
zIQa>l#Bl<|+xWb<g$Epd&kOywmV9>JwY9j<zqV@MM{L4syd4O0pSDUz-$c|)?*Anm
zsZ1+VTY-02sF9|wuC92eHYzHXzf}_e3%zBm&+%FLAxHuQ33MwO+{vh_I2K|ZKw}+f
zN=r@E@V`#V%T8*EtPjWODG__m=R9KoQnddx8)&uM=O_!DpD7qeVeKzwD(rjG`FP$o
z2=Y`lMuA2?@PU^1WEPp~wH4p8H{!T|u^(s{JlDm(-;9y}BZ}iQ9q6b%L&)KVZsf1t
zn;TU!UIX&e!fhF2QC`7<3^YTh7|ZjQ*<%-a={e5A8)JkEpzU<g>{flKe8;3hRR7NR
z;^ek)`X<jm_}47RMA$Euh6XXp^?P)9p_U8XMki?ARUfPQHzQ5-Qgf-QN=A>ILcB&z
za~)~6jl(RmvC$RWMR#ImEq06r<Vgb|8l-GmqVI5N1_GrpGr)CdcY)@W=8o1<m<o)^
zZ@LZeQUh0;H*Jm|dE7;1WpGhUowq`T2Sk*&M4zE4dk0T+rZz4@Dz5EwTLmfRHA8qP
z&DXyierETkJA@TC3q1_&(aL)?C1AJb2j;5O0)54b{Oe}@@3BiuuRK1n>M2PAs}WYW
zBSc?JF>vGS9OjwnID8}hYno(af5UYh#&EFrQm3dzDm5PB(Bp}3+m7cN1_+RuSOMYT
zD3hgocc98I3w|6UtsmUTC1~2t(WAwc%Bm8b{DAmxZedZQqm9QPyIF<-z_`i_u-Mkw
zqoSc!NNc;q5oO5rv3>B9XEl+lK5-I1-hdLhJ2n*yR%rrJ5W8P^@*mv@Q6<v$VS8y{
zKJOUsM2~j~z23)ZhW4Q8!MG%%I_b4sG$yC(U4i!yF<OiwOOZ=28}m2S?XZF-H&kKD
zVsUsV0PRW}FbDQ>%*ESQ;BtU6RI?<zGZ}Dz4Vf$Fh1GQez%#e7VCK%dI6i)6>+wDk
zg3u9B#BY(f^h_RYYw8d}jk*p@0}<@QFk;KH>%H!d{n_(6ZzlNIp<YoSGY@MoTXT_l
z)FtFhyRi4rK07fTos)_yIcTA%lgNLcVhcDT%Njai9K!zVvGIBJ*7+T}ZnSwHx3J-l
zf%CWMs1mbdxTmdf6tfa#X*j3|5lQnAUavyTyr<5%E#gj}Z~SDiqN20p0&sv$&{ffb
zAut1a%;t04P|{328^eg5!p>rnVMnhIzfU4z4|-vaX$dTqF&0~ohfs^@1Ofr-S2Vco
z;N@6Sl<4TtTkDMT7GvZkK}mi|anSYp=|b-F{u(AP|9tI?oyJ~GMa5&Dl;PlD=i9-E
z8($oWkGua@gRf;U0GwGaXaE><9n^T4U}za~Vvy+hlfLeXNib>XD4!e`QK-iC3M?e`
zasT{jyU+quxXo4rVJmFuQ&c5jC?!2U8M|~l*`y8eOb<Yd^kMq3{~FfV7BNW5?c<};
zwv<)!IGj}k0{vWrZ+bDPw{f%d%riNrTfVSTBN+^&lTOB`q?p-!C8rRu2`#ajp<P^+
z;wPPygGkXu087Y1O$qsB;=W{Wo{_1kGwO8sc&ZSOWjS;_B|s2D0rPi{ofz(Y20cr;
zC|t5clvs+s;99*sEHfUnLo>n;y;~1&{}xM6JNi#Q37}uIf0{(WGpETY!;KQYNO*im
z>wg4%`NCeaLZF()1a64@c`Lu87#1kTslcPNVP0EINns?O6@^G}nj)RU3=QgW4imi)
ztq8UI#aU*3bRHa}Jr-_8BhmGeYVbmT<xu|#<jPQ}o6N&q=V*~+5bWNm9-E!LGK--q
zAxPJImwkzzkT*4skzrNx$xr_h(c}EmP^Z)J03OIM5>Yq5VhaqHMiFc3%*C;SUK1+<
zU5`T>ViE}bV>LSIb1H6jpt?-z+$}6=hX=g;{(F+;PGSd)b~5Uyyr=k9lV^Pd7knnB
z;EnG0_-JEkdjW-xNCM`XG@rQ_-A$Vf#5NuV%ek3(y6I|tiTU>DdYwNqjqBp0)l-$h
z+g2WUk-_frOnT!~Ds~m*62v;7SZ?zT`-Rb`h=`Zbs-Ry<;~)Vqme-WH-_*d5$O?er
z)~di5LE&U22d<B_wXi3Oq|Njayj#i>grW#!&L`^Jc^#DWz|98vC>i7WU6wv33?_Vm
zjeC0hr}ZUUUiDK9gN9JMQ(6y0;tKnV?2jKS(Mg}z7JXlF3>bNs)K%E2-C&tTm<Ee8
z!)>1%#)1tJ_~L@wqwdwRdq&7!A<FFM6vrppUS-0NM}{U+K0=>`#<al$%$n}Y%XC+2
zIl3%~QJK{9H00PFY4Mg=lQA;+2(em<y1~U{52_=Z<(1y*9d@$Ly|}uY{g-4jBif(U
z)92sWX)<dfTt1~w)$1F(B2#+()6=*uW3meOtV7Hl482Z4Ju6s<Qp~TSwADKNOxlJE
zq4U+%I{}-F6w9eOId8QPe%tKndQY)=r9Cq|_tT}1hQ|D)*}`{{ScpIGXL#ygy{a~9
ziEvhT_yDYlr~4Fo&2`L#n8o9{-}pQ^6U~4zljzDwx~xfFHfS_PMXYf@z-7oEmz1S+
zW2L9Pc#A-sFV2@bU^$WT{cA!+cuDY1*`K;>ET(8`Z5x{tiT7^o&_2gRgvbNaIg}Wg
zHs<!FfqT+uDJw^U8SXpH2R&Dz@C_d~r6=fBvmEhp_Q;?fHbtPvhBO4kIOg*Pno-Xv
zaacqgb13dk4~d0P>pi#hJOcs}rgbUkrXtuym=Hb;D;Q#CI>bC`&3wP$5H9asJ<O0Z
zj;*W+@mB<f9rT`)Gtaks!t9ObM8So&8=hWp*YPA!>Hkhgr<&L7-V(bWRat+WN5R9m
z(zQJMES^Obh#;IUMV4?FM>W66YKUR#<sB-Na{2Q2;9+uQp8UCZ@i3B^mFx#etz_ZC
zY#!G!EXahZvpL3qK89nRNj@Sl?S{Z3X5&K18or{!T6QF2byaVC=ZYn6P?d_W({`yY
z4O648-TVG@DNm+Ek>Z&vz<c~dk7?oHU_1-|K}VM=-!g#3hOFA=1lnX|#j!NKY7-Tg
zzr;HXB&%q0vxP+R+g|jCBPXKw4FN7luP&JA&;@rpv+(^-smI~b;uFD+N@!w1*rqAZ
z=Q7LhLEFz7y2OiHnKS@lW&L`5K!eey&6hv_K6NwOgv71dw2PK}2|(sA*%Vlti<5H4
z$@l0JFX)ecutpQIvp?#Y+SVD%%)K&j!6t!G1c~_JCn`$Bk@$fz`#J^)-lBNvZjN3w
z7N7#S*dEvzU0jI(7*W&~mi9+S%+)-f&xD<wYWMB?WN4ChrA$wZE54T!rn>vn1*am!
zQDVAEphMHc0spjlV=&vU3$<>MKA;zdnBYp<^9f180)Ly@*$cR1h1q0YfzAcR9tfil
zpNX7&T{6c^6H`)fR{-MehD8zC;rXG!357V>2jBTP{-?FmWB(Sfj)Vn_t}#OG93tSg
zEfKcJmKgNF8v;B3;34x=z?tj7fUjE3CQ|!ZG6z1!;z$bp1;qTJ3t=H@R?bMZAas!&
zWZxyr9g#c--%N}_zz=4L<s+B2HA+aYTniF6I01RfMvx3BQ3-CFWcy(_*}L{CWy|r+
zVs*q6`R9?CfMZ2dYsW8S{}uh<n3u}fp!F-Gaix#zZ)h|KG8SL<k?WW-qY<ZZ0!~qY
zIIP>lt)BhaOL+F-Q_^MBPNMo!%mYE>THB$$HJl`+6*W07Qz*Kzkq~5ozkTwMAXEMf
zc2MaA(o#-W(WH4<bXyqPLm)8goL?6)u1Z-jUYtZAAR<cfI*H_3h}>s~t5(L85i%Lr
z4sj$_gb;^2KNPS@H`K$gGtISsPs<i2Q_4F@Bd4!SI{%F(O&2#TMft<&Elypi&K<|D
zt{Mf%cVX#x9f^QO!-o$jUFQh~&MCxP=<`$ur<-_gZSy7C35;=r-3&7xwrHDyjvzHy
zfIr>sdrOXt7-W0o`vi&YY0C+R00=^ijEr{^5U>Q$r3qko0P!0(%2kzA9Ge4B0TqP6
z>XDJ%y**C|z#xdQSsz*G<M5w-2h!oscF9FHg4EIm1_tZ*^=|$V7(=!@O|svSyn{yu
z^8F-CStfFG=U7-+Do6!QqEm;4oO31^%fzb}a!J)*i^mj$metpoGe#}Ud9WwN`BR&N
zTw+W1nH;-^ZoHIJ3V0}`*M9P<zW4h?vyxgQhJ%{q$!5&T|JxZ+AAIXLXlcW;a9y|L
zqW!JA2mwD33He4(YJQ7`FS6qrJnUnxiOm{syH6*LBHDeId5Y>u7um5?o_9Hh1#l8P
zR!Y}nD5qv#tlewBo>VsLnF;R4jjb%J>!;aB#1Z7$QBW7eGh}6~=zrLGoSb-uF~adl
zV~q^3TFN7!l@QG1jS^9K?oB!{&wj<v=&^Os(;J+)MLR2q)|$Fr);Rr!GvL(6^6%d=
zP!5XPeO$6)4i_vkF4_nyDJ-KcFt)+F6r6%FB?h?v7FnmWu193``estW50Yr^{I7+0
zgjyPZN<k=&S8Z8X{2{$hH1X8Ndk{7L@%{UEdp@Ua@ogki=`K~-z_5z}aPRoT`#rBM
zGo~mV!C%vbav~`RY7>s|GoE!IRbI|jbVT&i;MO2~V~<oPrVTe&(#OtR{R<Qri2xS9
z{GWJ3RZ|gu+y#TMg15uss$Q#~9=(?-yzIg#yZ<mlTRsYGg?-h20z+w0LP(*7bS6F2
zc)Rh5le!JQtn9I%C`|SrNI%#A$z4tl3G?#SL*t_PNTosZeX&+cs<F_GcrH*1S%gcl
zYmQfB*WnhL#dKrMKfjK3gpe2u2W;vXB!{DKBEUgO-|Kz0O&<~r7qCHg3<b!O`PtiL
zCt%GEjTUqn?_Y-H@8e8Nu+tpN=VSQqH$KQINF?QCeWj<dkh@W%#-0ywdq*e`I0!A0
z%<a~7fc{fhD3bI6UhH{*s`zUY2^i&669Jj?dv=|&`Cd?>AMP+6DgkiUmCgwl?7yNt
ztG!{ByrsaO1^0~Ugu+UIO@1V6T>u_En%ziZzE-G#A%(XJu7xN9X)9;zC3Lc+z*FVw
z1wLAO`V;2?EmF+S6B82#Lb$JIkVWYN(uabiB3VTHdN0+P-Bh=1NAd#vWW^uoBb|HB
z+&B22_+&p99^|<K8C#TNA)cX`m$;P0IqG`j%n&4#t!lR7tMpQY+Pzw26GLI8&IOD;
zW3-fy%|u>GZpO@;NZ+`aAL^ro-O%E-NXBf%Ln>FVKUGkW3i`y0z5hvGjdd(iy0Mv`
zXuF#m^*P%WQWut8b0EQpWCs(+d#PX+7#7|>-aGt>HKn1fxXc;ibE_!ASFhAyzKS3D
z#jNn>Jw#vXO5+zlHunLH<gMn?U#BfkYPqG=Rlaa;IUA_p1*YEC+<Y{DDk~%NRJrde
zW3s<_T`Y+2DT&Y9PBKb6YnN^O_%sc8AD98&$N)jlkMFy9YD9^v8F%bi?&|*La#WtW
zx7dGdj+*FRS|o+3N_&f#J3|~GdEt}*;lyO{HXj>^dzngmrM1(?)pe}eFm2*3gUH$0
z`4Iw`@RP<_{DK_)x2{0u-u$^rkOy@5&ECagZPD7!6~h&X{~|$|M;y~Bc4_+xq#<#f
z3xU`L53fM)VBeSf*}w877@F?x)=h$}(UO4Q*n?g9&Aj`uSbqFy1GAMYQK4hGzG>ra
zWmOOalKe)Gb~zyUir+fdgL>rd2TQ~uKr&UooFIaGo85lcBH>{Y@J=k6=&Ts)A>bRQ
zo7%8?-9_+&_+1EjlKqMJE!r__+lV`2564+&*QMUTMba^!T*ZP0<9$7hau&J|@yo#b
z!4&u93Mwf;zIpwdVp?tCp<$rv1olHKpS|y7<3`#lcKG23o6$p8A+K@a-Sk~3>o})z
zRpcdeziO%hr+=z(%wG2F`+GP)mS45xj!xj`d<-o*huN(<pWjGSNCxD?%XxWg5l;RX
z)n~Q#&D-Neg=3T9D8PofWJ`6fpUDdihqs|u_PQu)ub10dnzcr!>zxTV4OJ|0UvTU$
zVv5|KvA1%Io8X=u0M&tI*J7H6b_u#?G-6Di6M%e{Stfms2kZ-dN2_1szpRR{JfglT
zU$*L1L2W(QwmDZ+7%(JfIj4CJEPe$z)lWy#F*7?Pyqz2$f5%2qOitqK2yAYxl+(Pm
zB$}GSjzJ*8jxf`zW)q!j+4>aHFRJkUB@`WA-M;Y=nVm8zyn1Z+!gZ&I*TesizLV87
zG^LXJzl-e!&`QbXrpJ0~3Y41JOh+d#m-^<ytCrT`63O+;sVAu|((hH)*wl|pyV@5D
zH|~_7>%C&8#rP<N7QioovZ0-n&zw3>*+v2fleOY4*f6JRnkFAU;d(Fi*Z(|eP9hYR
zyM!R5cOXb}T2VTRIUnLe?)Z3%A}T`bhsm!f;k{Toc-S_*A%u7pw}h#FA2$5^_q$@i
zL)#&QJbuX>M5v&!c6dtE6@z?0_L>HZe2a>;^TSLJ(_~w~MB`idPZ8#(k(~2xWHR5!
zJ<37lnf0LUP<H{JNSoTR?frPQM#nW~$XcBmKA4>mZ-x*~oo~#BZou0Tv<?WEpYRK!
zu)M_D_=0h-sLENn<g=#rrOZtt8Y4RlHtGBwlSQ%<u4oc{5|JM^ROly2yc@rbIjko-
z_FuwA;leMu%gs61)0SKkEAgqNrN5Y6NCS(<5Obu!)6<hRBuw+)&J`GDlTZA%5`r@2
zDU`&h|JGonE@T62K&F(u<Uw9}4mqoIKw=)_2X~eR3F=K%1=D_rWeRHG>9Y=Ai-eY|
z_k7vktQa{fGAe$h*;f)WU3|ixYR&~SzX+cSpT4~IHGkal^`-;@6u49r!NWN&b}&ZJ
z8H%M6o~$jK)14hPMV7wVqrGm$H9n_&Qvq970IqX>q%VJXe0(f0bBCF`k+XpJead1g
zc%Gr|fJ350`<U(Xxe;q!6#uNxIyzqPsNhbq-Xgj`>;}*PJAL0o41*#PhV1x2K*NJ>
zxgUo@k{7m%F`tU^l+Q)^Gg`8`RtgwKm@)G~Ogl?ol)$<!sc<01LE8kEW$@>T@>k`e
z%Fz@OOjb&&c_hr-%r?s{f9sGFK{NoP#q$*BZj4Q^k7e&@P$}OFs_a67a-QJ%3T2O<
znHX^wj0120_sce-!%=AdEbf4^>l61KEk+DMk#ti92d59wFa@M`S#iE(^TI^Q!kcKH
zWiiASQ7SibC2SlqxVpv>R|>~AfMCY4vm9G<fg|QFPny@GzHXKJAUh8ktOQW)+wxqR
zKGsq0RqxW*A1L}R<DBo10blRA0RxA%r5Cz$2!z3OlXPkmf+Ai1<r&K#hl7!%!|0z4
zET}a1GWV7(oA1?g)<*~g|C$ab4!yDJ6OwRhg*@!^HIaRP?_XH|rc3X2P_cjdCjs6T
ztx;JXY51TygwWq!hyUUyG5&b_4%fhL@ZOfDS+PzOaGY2<W(v{ZBAwGE6Cf2B&ZBOq
zmLbZv4!#O7W7>;!yLU(M^>dQK6nt*nC{hjgipae~9)M%-&!+g{7(VF%;&|K(Y&9=}
zPLHmN@3#!H#T|}Dad|@JuE{U#Qw@?b)1ST}NJpJ3?9n=1_?Z;*;v?cdr4Y6MW_MKh
z*T!Ct<AH_{l@xOrx0g$~DrvYqQIZJ%`+xl-h{|Iu&Z8JUlnS2Ta%6yl#7T$fFHYfX
z*`esiTDZFy@KMQBnQS^!)Tv+2b7x0@!lzk;KVW;50GsW|OuqN;LJk9+ekXBScWdx|
z^wcEW=G6`S-iW2Ru=1(a-XcL2Jqtfl^brA%^VPX)FFilmta#`tO@rB5LV$>X*Ke9T
zAzhLV4-`^x3rJ*7G|Zq~*2PCe+D}ln7ZX5KXm|3sXr6=MHSf_H2s;rc7e!Zi$>hpk
z+^@k$DkqK?e|fWqhX5y)<*mtyA2H44M4kO9HlT8_LU{?RiJC#Xj;iK#`RQZbr{tqs
z_y;GQN7d=+Y@#+qCd7p?XcsFCOtZOGT7G4KhX<}NLL6p`y4rEV(jk;4OZP6_74dz1
z-W!}Z^dgUp!b?5sp<yG5$=@AXz1F{)R<LXOZnm!U??6P!N~o^XB6Y3KHp`eh*=^cP
zKBxR+4z3F(9YO)GogU9ltyahN{nfS$H2W5dJ0-5whhdc)eO{8ttE_m?B@s=-As732
zcNWI~a9YNG_Y+_+e^de`J-rPyAST?8T23tq1#*zsF^WC|{M)?(aSe}{nw#si<V;ex
zumlJ;ojwQc-^df#M@G#QZRlCey-Q5W#bt&S&Q=>RkP)vF?z1>SBj-F0dfetk55>lD
z^d6~kt?uOVx#*bB=EyOFh=Iq@lV=Q!Rf(e$%Eh98S+KNc_+F&`^9C+zs6fZ`tXDW4
zC-}AX-&KAA0CzgbJ_~4s{YZW=P%cgoXu>GPRvhAUpROsvaQd3}`;%GeQ@XxNWnY6w
zs+W#gTKL@q_-Ta}DYD|DpYOQYG!$7#&L;5he(L#jCzzmq@Yg)O7<A9Y<?Hf1H_6+J
zFvmC8aEafhe|Jg2sSgvUIN;g~qh8<Noqw-vnzgyYooJu5MN}EWofO{hc60@=8V&hF
zrjtr0GkT_6#WjGP<h*6OEg7Mh35{IeNvD6S5S4cs^Yv(3_6q#&1RJf}1|=qj-=1ZU
zr&Jo*R(`sNlEqLatorv@|K|whdl)$N!f`NRWNPwb7g4TokWNx^AoDI4ncm*Q6fML5
z$hNmobz=!WWHC%kT$ARssGzNu<m>m?Dw~6lxL2sBxM8u+MQ<imB|}QSqC<|nhOhz0
z^XHxGEsj-Pos&Q$19OgZ%aAy58SWo%l|L(69HFx(7ejr3u9QVDNY-+M|7wH&elf#|
zcb^|j?|JwAo53yt=eXUK1r01(0`SA_=4q6<y$l5){HkpQi-m45-BXv(V-}h+U5qR-
zFYrlBM!UV+C5PP{AtEE==r}efYWOA#jqJW`m1qBK-ip*yf6AlH$saLyG>%m&23|Ck
z{%>L5s2B#MlcRV0SS7l8AM?SvPRK6(=lP;y{=5mDDTAFNxn6%jUs00}VUi$jL;y4+
zy^|ANt`dv|>GWf4c&CO7!U3{x9y8QwmJth2C_a>UbuVY#C<-WKAbFfSVTgl)|H}fP
z0)FUdFjHNbGzIFJr|w7rR?2xB9Bf-2s)YXQy5{wyvE&-6*r1Ai`k|)saD92n6N|Sn
z&|0R|9!4UcaISNFyy7Nu*)=Q~tX4_dHQ3Mg&BGTle<LBtx4-HFfPoNFSeUKeYQF0n
z+>m}yaww5lTv~XXO#`wU`Qz`zgvU*u7@`BOL;|)^%daPJD2h6f)jx3c+8*l~8p<-`
zJY+KqdU*bH_%M*Ia`wHbg-60Fl0)$el8x3GL)~v7*SENL&*43?$oI7cZfBN*v`%?h
zQoOH3eN0wVyaez;K}BcY>)#eW%mX?+<Gz8!b_B}{H_)P4by`8^lW9zu2ju@G0Y4D%
z&Ku}rNv!nnn5CAdN14g$SB!$+@c(Qm^+%L!JfNcNcqr{|`E%PlB<flJkt*vhryHQM
zNm!sIb!p9h#?{s)R8MfWQvMD_f;NawA(Z#iG<<)59}dbEHXu4Wx>~UqHE*){Qx`6P
zG_?`aj<$!~U*7%Qc4sfA|D^3X^lC7Mj|fKw2A+I>?Le(^)dFsaj%e(T6?mF!l9`-N
zaVx?(-4`xMQ5ZBa9pXY3H8&}(zNhMB9y)_K&`0vmT#ETVth8xI&4xR7js0l>^Nzwq
zmZv){Cy;@Vq!OKvu>H1ZQUFv}WoAZ~$q-E)ds-WW6%);38pUmX6ie}PpVet4*z}sW
z-l*}Y>QCu(G0x#@EuOjW=+jV6OL98L5S*Y>$bm%4sQ11_>}OlWR)Sy-2i@Pepm+64
z%&gS0g!{BViw9MdU}r~Cia*KylTjbUln}!H%c7hfLTz>WTY_Ha5BW4W!VF}9s%Zvc
z71oDGpI^&=<f(O!YHb%+JK-L+N4brx9wxe7jajwwxlGLnt$V*F&pO$~8u*f==Uh|0
zVd8+5LlnKVWhp)TZhBw<j^>F91Se4-exedI<H-`peaoiSQk9;tx)YBal^#>TvM0iS
zQ%Kmlm50o$aE}vmv!Ksq;a>Wb`M{K`>Ugv5`FvGOf{9};7nF{`&D09QAit|S>h3;)
zN`?M6iqAaq2ri_H;#$pWpVZ3iPqgFf^%78@ksftDOLLDpaZbWVIJk)yDXw|BfWO9~
zMxP6zETyE8JE9lKMrMa*VRA&wWmGkJ#;CkZP|BM0zkQRt=S{yhFt|Mwn||0GszIUJ
z|Hp7K(oFy`M|2`2K^(m(`WZ0s@B--~{Jg6s<$3K0aX}@<9WX&WAj<R}X$_NdYAGQE
z{>*^cs!cz7E({&+5V`nineX5VNwoSzfSXti;RPCP??|kNG`dF%Nx{mL0NOIl(!9eU
z!iT61zS_b5o!typF{c_Q#!=5sQ1ps+!3>)U(S?zGMkzh;bZcm`T9oagO22I$c2hN>
zZZdt6HgM%kunA&>yjaYc93ECC0OoxHNGR{(HM#ucnGPw0!C^g>_?&ak_vuZ=#gZ&C
zr7m<syw<4OEJkOmmCxzXN%w)0B80Vuj?mD?PGR(Dp_#P%pQF6-5S0OOnjU}eHY+p$
zHiQ#oue!)*ZaEe<=z;I+4k?F1#np%*J|mmnc8@pP-e!%_`XcczP7~|-Q>$K=PYZ|w
ze#n6ET2YGu4stGT0|n<Xf}8&KZ@G2xtdTkmS!T$MS}e*!;;={&$;3a?10O=4Zlnz9
zD=LK6I02s=H$e<ka|Jc|WiX8=Evj>tHcp&gp;EP_b%N7+*PrZlRXt?1FijY$%U_Xf
zto8$U+wf8d{qhp{lUQHp^*XM_flKL|{eJ2me{<uhWv5t}80O1qn05Z?U!hKCN9BPX
z+(;1|J_SUMnP9OE&T??wk}>fhau$<+7#+{b6CKQq4OaZl%xVHf{#)TjDVy)()Ib=~
zO@ep0z3&Hh3+Dp>ijD3&t<;)A$bi1YOGQtMAgD)^T@QZlg#U-|5xz(gyx;*a60)Oq
z`MZj;ZeBEe9>{IiJ#SHDEEX2I2XQS{*P7%>o1HJsGmH7GIXP+RK)#Z&)hy$dPNqCD
zJh`LH-J$K0-u5M<R*IqKe>e6g{Cv)7<9h2SxfZmi!|ydy8NzusZ{YnM+9T_aOD0}H
zch>L!FxP?>iZ`kAyDppOfNEhg<@v2mdz#vc2WfrRB6AfkuU8es@bY2H89@>2wlZHq
z<4U4XuRO15^Ht=`T<6S)wEN_K^@VgFbV=haCK|`WTJWd?l4UwAr%BZzgu=18Y-pT(
zxA$nqj+Sbr<P_V7;XmYVy$8Fsv=r6^cKiQZkf8%0o?7P4yBDRC$@f8Y+i!4}rw)0m
z^PZQEDWu<8O{Z{EJUbubga*#@WEww<M?7GQ5Q{<D%6S!yhi!SRjK4p3(N?$ZM}i85
zz5y^;@B!&2>MSc}-{T~=(@mXBlwp~F{kMmHhQ!`%U^W9Nd-YiCy!JCFL*{rioRNr|
zf;&Aw36Ri}5qB}Pvh=@<VV$v3UR%4!Dd}Bk^-_oLWlbe%*HVE|l7@Z@2PXX!uen`I
zd-$Ik*L5oUquF%|Jh`{(p4IxkVn19w90~<d`6y;^4OFWCI@`lulabb?#wc?H>k%$s
zZK-~S-uj!IvCk6(9gP?5-Pw0(IJH5@l!iU^i~4#3{2p+|Zr8b7wu$<vPMD(mhkjMw
zZpaTH94D*Z71$lvsX-3DrRE%EonT@kQ^kRm|DlJy2ssZx+U@`0gAhKrkh$uPQ6IED
z=UXS=@XU@1Bi5lAOCsf|3eRQ{jL-!=<-+HYMlkR&@J7ApQFyh5jcVcZ-J&%g)<krv
zn>9~DsG|R7lR8Xs%INq=$$-}fya&1=Oy+3Pb@&4HN?wI+gAMpZ`50|nJ-z!ABCntg
zCVvGr|3@Qi)r5vXG{({KgSOVz4wNpaP4v28z<;In>Y2MHBqAqmNYsoFs5r0~2T34f
z8aLHfQK^IL>Idksv$KyQYEOI)UlCMIVU<Af7TL=i1Z@>{_G}FjQ)>4FZ5l6!AohyL
ztCze5{(O_2snI)kvR<1t^qeEnRY>D;`);ecPP5P!W7sxMhUx(iz~@~ExHMyQxpx@+
z#2VousUe@cSAb%*SWg&~HkNfsb@63z0TGm#w8O;nnxw-(lKlZIj2!NZ9B`OmN8H39
zID3>qxOVp0#02+=Q_tyof}Ghv(3u2!-N|<+`A@*y{2J{_jr-0bFcpOtY0G3w$tn)K
z1B6SXqcCR`cT_>?@l;e~*qz6Wh$s3iOA!%*`kzRsx`7(@pLG9cnoX*-;IaV91oUl{
z)(asrskIgE>UIB3nQ5<u1$nD4g>YUaFpXEU5+-^7J1UYv7`bXYDH1)&D`YZ|V%6(}
z*yD(QbyzQE(|YMwqHQ1qIIM>ng98ktSI&pk)`&#^U(dS%LgpV-_<;Wp*E@DcLODQ{
z@`MIiM*kD+`{|EQ=<5M}H!}?9j%Mx%fb~V4fa}N^T&4ATujcahMIw&z!){#zC!K?W
zGg1OOu0}O9fW>ntCxCzyodC2A)wSo^=N~4zXb)7yH(1R^7f+lm{$z5>1GtqaWHil<
zf{Dd<-tby<rWlJP&pEtCm&8iuVJ{b=pn5>@YJ)l)wpV1#zG0pC>@{#CJaqa8Cunp}
z{A%hsvHJBzMc_3RTe}J>z@zhJ?YVbVM=xfJ_h<hYL3_c4gBD4~H`Bt;+c>%};0_j{
zjnEfCZOHw2uH%A54KTv17T9bJNqggQb_hL4?e1}v(!CkIIyrD(cLMis)4}(l@U!la
z1FE^r?WoW|vP#>(dT}j}2w|4StDktEgKX?ngXHkX-{KY?Qa}+Vw&BX~ZYCfcqnOXo
z23DnsBF6g2nO<<0)?0|Tcc?pI{(gw?ayGrB6Mz3c_p0Jh7vl=ng+TQ-rLZo;08kjn
z0+I{6<Kd-1+@)EqT?ow?CFrCve$x$?9-MR9+cS?Zp>RIX`Dx>WfALUbSiXTul|~Pd
zVbs)eY`a4j(6+0{{&+)dTsQADH*nz=FbllDu*)*JR+HY`IBo75FfX(|Et416_b^x`
zsRAUiA2t<Wi+RtXF9)gw;3&)Ndd$Pv!N%=RBTK&AjJYqNITJBo0|T2Mr=S431YcMK
zKjo*FR?yG<sy>;@RBCdAZw&+c{~x~IDxi)g=oTF`xH|-QcXtV{3GN|Sa3{D2_u!rY
z39ccyYk-Xew~f2I-}(M?&wV=gJZ*XC>8|eSuC7{Z)rxz;sOvsD!!EMoLe0xW(m@kz
zI6R25dqDY|o#e%O<kAjqgPp8k;I+NBD$-8N-Y9qfpCyv=#)psQ&5C3e(LIvVQ<f%w
zPShpm_xuW4uwOJ3Zv7g+Qde0#_+)HjPRy)qw_uptc#m@KJ#|kEVd_3#V#16>(|huh
zT*VSi;0|ix0?y$Jr<EB-9V^aj2NKUGF|WV9o#e!%>)I{;m@l1PHJ=731$O1U&$#Fn
z8vDdsbEswTPH8hYhH1MDEa89(tWp;_{Fj&g3wk^MDImJHu9QdZF#!;3kgIRxS=qaO
zhZ95^X_NVPyJe{)%Fb#$r<q1X<niGrWx(Tc6J!WXqmULx+PF6xQN)I=bcjWMcX#<2
zEraHZ?J`{?RK5JiS#5U8t^(P)NF%xCBm^&lCh)2({4gMDLp}?M^>gq)foCvKidFH1
zf#a;2dlxo5R3|7JuvXTMep|WP0A8~1OUI(eUUVT*#Nzq)FVU-?%JR2Wq1~j`f!F`>
zK}t`I+h_S}gH58^VI`tTt1{Ob-6xm(l?fpW1(D=!#fJ_&rOMgS?q2RHEu|<1cwC}w
zE;#OIQ#0-}x8wtJ0q1yXjn^Z1Ndv;K627}{DRf;<p4WJ+bqxrc6%jWb?RybI(dQL8
zZRv-@{~RqQ4k=Rp2qC45%idaDrfms!cDtnKiXwGE4kHM$Nwbd)4r2Vh>=12xg5JDT
z$7=gm=&~*FXkjL;{<*@F4sv_RRWY7<F>1?mIm!d+<;_E?M*Okaq)_{r&Ei^`jN&Lk
zuc-xD9GD>M-th0(y5)MexSNt!={tl9=%W4d?&EAIw21id1m7V!B+LJ0A?)=HrDXD}
z8T~76kW6r0GM@{+OJC36PCr}7mkM)ePguzCZ^}0qs+1RXU)?ckb?et<zc*J3+f!8_
zawyu^+9Es1L{uFje<PR0BaSWijqtb%T1Y^l3a};`FqDoY0W~s*K~?!yO-|0~UG(1h
zO%O3KRD=9mv&WvDw-%#3%Bru`fVtsE+PgsrFI*QU(MEmL6t9;E0T6;4>u`FsO3`#l
zRfmZpSk!?_aUvMG%WpsU{u+#)#QUGh<sDLGS7CpO6$A?pfAT$_t`2`PV(^wIVt5ws
z4CIg;116@j-aV1wKHKE0S1diB(-lfmr-?AoR`_2A|Logu$YBldKy`Ls_c&Y|Y+btj
zxQ&_}AaN`o*qtg8+On}PJMgX7=PTQ<sy1(pR0&zPuV;sV^M)*qLf0G_Qo}K85?KB-
zBIYYhS#$%ph;tG4%ycO!UOgirMwumD+wki5QfFFbJu-&28dZWhBb#%S)wP#97Cx(X
z&C@zOhi>JjKyTJ@@1Up-HD{H0F$`dI5(TU}3cbtR`H+?Id)hyq)Jn+UEbPn3zZ+Ao
zKO6B}G9zCfJ;XGFW>Wo)%O!&FvsdMN_jzs~pM_19uBZZ@USEh^-*<<|PTUp>y~iYD
zc^$lHsmyR&qnSiN&P6wcdU6JiojnGSREV#xXl#XbF3&ia>3v|5l4T=%r2o3M?Y#7!
zPq7e*$I)gDQJyf~4ITF#O1YE&{Qk{L1ny*7CiV#RUo$;`vX<|tbMP}6Q3_;4z>_s=
z@&<}a!#*#lx!m^mvv}ggHWdp++ZVHiw<))5xnkD?po~eR=GnW4xfyipqjYmjAfwy5
zSAm$1!~A=|3%bwq(`#LFFw#Y8vm3PUd|-OC4FJSHBaxI6;kd74m`m6QdeA%0InGow
zgdOS&+Z~LS@USWF{u!0c_M+(NuyCo>53LKrJ?h~M{0DKMi&Q6N<#0&J-(Xcx;>E^-
zm52c?>onVWOMorW<f}e4R-;LTZD^J?;^X>b5)DwmnIp3mjcFfL3+{zbdZg$`&3>Gf
z;Xe_MoLgOJ)D`U8g^?su#A~x>hi4%1*skg5?rK_HoeO$T6<&X7?`}S<lZ_wkhNo;d
zZ?E6@`CD~a*+GkHHoq$3S^ZeHKs7T93lGo+Zzk>FaD1r1$uZ&ajQq8i3pXesGA~-}
z^x8*a(_L7CChSjM=IhC|4~I+Z$_hYcwZjK2v!~l>=Y=*EN8qrGc}Rr>X<fqhq2Hwl
z5kNr2$0vqHJ4X&KSfe*)5`c5qs|-{Bb;y>Asn=YOtfefqTP;)-ipe57w`27jTVrq+
z&$278;))jBf%|1%*QbkI{xBj2hh&Mqxl>00TJfdZlV&()e&pehLVdO{rW~&l8yAWx
zAs!*V(pprcE0Cb`k@M=eu3lE!0=D=VD_ftqxTo-5^@LB9*ungiP@V_S0RW44BCP%f
z5r+xr1Pnuw%EabOM8SlTwnMs~-c#QHuFTkY;qWM<)HR+L*^AhG?`3eRm0-TF0)gzX
zR=kY$ES2UX1X;S3yugoo88+`zc9+s@eu1B5ixgmr3_0%}l;`@aA#o(;!##qTGv{ua
z<*jWn0=0^iMoeK1h-7@?a%na~CVb8i5}o8m`_7WA-_;Lw7k(rvX+*&G&&{m<Rasg2
zCg|YcGcd2OuYa#!J?9&ixeHSF9l(NdPV_8pV8L+-80W^B=7E6$7<6=W8%MR4B~FZp
zY1@+@7>Q=Y0Xk8gFp3gJk1sESz!LyG`8fATjtcNhT68~QTXK~o5Nm0o15NA(<gD~1
z9S8f<=nj53{+?T(ni_elAQ*dyBx?QD66mD-qo`(cY=HqI7lxglOBhGbcd|#a?EQb)
zPq0H~^8^>JrtF;BM4YphE~W;#9LW#>Kh6i=&cN-x+5rx~3tYm%Vsp-kji!pu3T4IR
z8&yCMUn^D^QU_tEak<1Gk~XYF@Hk65M;J&TZieY{Scii@60N(AAw3{D^y}!-`~IQo
z`0#opEg3p)j{J_YN6BV1G1_Tx*fAi8w%)P0UKyuzFJbg4C4FrnDqF(W@@K3DgD0%R
zizy87CO&__ZpkYYLHebx8|H?}ih2K&+iuc334ZtQuWpA;fh0hdzrh`-_@v#(<Xuf<
zL~i|-D3xMwx>UYt2oAz-8bexQg8Rg?@Yz4IBzZz^8QDw_Yqf(kg)cY;F*;XEzCK{{
z>)nUF=IAqHV$M%`&8P04t%209(If)#u*hreV=;zk1rA?H<;&|<MZ9U1E_^$$!y}q*
z-+16@aZ~EOQ~QVPAnq;Wuh+s}gcpq!C!RlvKABg|Yd-Kwx1Zpj8~YG_*myoT7EkDq
zRR-mmx0=Cd8|ZQ{ar%IS49TFvXXy#FJlSXVK<x1WQo6nIy6k~SV)u@o#8={cbuIhz
zukpF75(Q4x-KQBZ3&dM>!$g8^k?)yXdIh=i;O>?Sz8mJpi&oe!2B^*LGWY6TZ&(>Q
z2T&YIxPO|HmtlU{oD!3N?Qq%c-UY(EYKQ`!DV09<%wchjo+E?xg|=N6GHBR_X;Sa8
zBY1tDO^b{e_-@X{7Y_f}ot<6&<v=)N1NK%cmEU(Au9bi5^R-y6-JD3mB!7XBHk^CW
zCcBFSX`;2McgX?cfp&x4EAb}AFo3Z^s72hEp;sH>8EHDKWP#oA(v00I3cncd5u6tf
zYl!b(y|w#@zNI(uZGLm9>Tdx6`8+rX#%dK28a>n?i)ZGXlPsu$LB3r@q;)=28IvYq
zPXN!mkAppzU|DDahNiu1wYyQnnvCYMUZ<>P%Cz6W#HzTz^b?xeBi1ZF>5kGqMGF=1
zDV#mRx8Nbue?C78g#Fa+-_QNUNRpd>mYq{oC;(R!YaMRisj1Zz{)~Ex*7cjP1uLsJ
z&4P&g&sFQd9=1!w5Ew5n_T1xp24K0x=H81M_sZ!Hqt7YjWvcGlg3x8mclnlJ*$0*K
ztS5LjO&$bG?mx+_PP1Wm^@!)2pI9(m8nM+c?_nYLMHcw$-kbVue~!P0DqE|saN21e
z17gzZIE#+W9*2%bBIdkZ?z)R1RuS6>lvE$z)2+M^YtGBSKbf6&n6-u1TTfHSScM}w
z8{~^qn;_-HiCKO7VA^Vy`)6m|6s1V;(1eAk>u|}-;x;Ko(D{kCMGx%;r_wtG34>8P
zv2ja*iD~Pm_fQpb99?DoTP8TOcZn`)&rG42RMEr3qkQSO1GC#95)=5tDp#uucULwO
z1=d^JxH}hotMi%ch<9y(kr3Si@zx)<3wO=%&(p?4OX7E08%qfvo3+8UMXwDBpo98j
zqxoi?(EIXD76sRZ3abe`E?R*~O166X`H#vqu3~uZm(;R?KQ8P5cB<(8HQDTyB=fWW
zdCtJWjfXE4ah(<jLHdQCPLD(`9=2u1UyXV^Gwol^UOhQGG_-JDRn4(9rp9`daIO{&
zMeI8Kt}S)_ug*37KK4-pU0_j0srN%{N5fUIjyp|>Px9!Ulc<DwbvJNKMP5(^nWCyP
zrNN(N90j_{Oa}phziVBBrx%)3^#_5pwg&P91mh31w0lL}J<qZs*L%hFrK|pjMcWcl
z?p)K(7e~|pWeI}HQ~6I<psl?chH{bAF+TL^ol4-_Ix=#enkUL22)HtY;3O%!tR>^!
zyIfZJ(&I#@vgUEM$c$UkA|%>k3;OTnMKA)KCx?P*BAZEMaZ?Ctnmb{D2=>lR=g9oe
z(xWgMN?b8cT0{7-8w|FnRz=7T*wQG}h{#f##ao*5HI!2v7PBdaI1Z=liodP{wvTg5
ztL~c$9d@I(3?D<*NN=qNpVlYwuMr3DRMJWUi)6m4a|1bR<*e+m?b1oHL;a;#Qw=_5
zI4|CC?aas-F+_zf^!4}Sjm-sy+<!0cpd)2#uZE{4&m0s4Xlz_o3Tp-ck$_#5e!_DL
zRfPRpo<Bu|*oqEMZ|j3?DB8f)`&^_gF5T7y6}o+Sj#7@myxV6vT*Lgf%1+RxgT=TG
zT`oi@5=Q2sS6<dLzbX(vwO{huu;cFObdc5~5jO>VZz*5^Au%GOqsmhbP?xAi3OGB+
z!c4<Bn!6<Qz3Kmw{x@vPqEmqoT~@i<j}N#yT-)82)mQNfd-d8~wFr#;QypM$;+Ip^
z@oW+?|1B!0M+&z%{&Zh>Wv%kxy=e>ipSz?*K0?3Sv_MP(qbXz9uBFoxG5CREK*Oa?
zliwri=Aau|)$%QQWh$fnc)QhA?{xamGiUF<N%!VA>=_&Y;|6n%H$Nfea)@g#zU+ea
zor4s`soW{IT-o*?v#=$J`i~!^4CmfIH5dz6yDox?X*v>+2F@mBd~&D4_+v5xzAMX9
z3*c$8=87GA5o<$!vDsG^{Va_^t1PpYK|x(b#%3w3eUANfOwBn)=Ixyw?n*UuqnsdT
z+3ISu_U-hoD9O#iYJCjLg69jrk_F#4>`yk`F&?OE0<+_t<L=}6i4Vt<c~r5DsA)WI
z%V9Nv`FRP4Q|HJ9V^i$#*^^{9Clat!vQ5QqqA@9`gk;Jk)phEt$RZ6km4a}gl_*hS
z&LzvY@9F&l4u6{!G}mKy2O@b>6bK&H{hq3;VI++AtGKB%5;-;TA2T&k<=`t&9sq9=
zW(x1>=f0NcoPJkjTdfIUnhXh>2$8Bu#a!LOl9OXr+iQyd$wnECMa`zmM}^iKNoHB4
zkQ$#UgIy-Ct)pXL;22?JZ~sIe<f!us(wiR4Ei4uh2OO>s-zhx)G|a5Fi|2o3)|8r6
zN$36bdrs5YOd^4I^JA#@htI*(4+Z=zLwByY;+wNy`Peotjmp;0p&~CqcaH8W*lV=~
zMWgNuI1R*=rmx~if))x@O0!`|iUu<G8)gy3>Rzx8%Pux^y&l<EDDU6^Rck|?(0dU8
z*v<UyR~gZ_(;uhMAQNTD0#pRp^32Y5Cg@B%!2j00uid#-1vowJKfRK$w)7KrW$x_d
z_KZf>d6qh#rOpepB^cxdIBvF<2lt^o>bV>D=`Snme-?7g^xBn`I3PUvclcW8xoVu^
zr?R08_i*LSl<V^Yn=6m2v&rsYZLP&UtuzdwcwJy_8Kc!@-Ml^EB|%1sES}g<g7>j<
zZmu%H>rzGWy97+uM9&(Hlx#5H<t*{_Wx9Upc$oy!T;OrdYH12O(mS-{TQ0?w8jT|!
zAcwCBV&X1!|G>JXk<&{?#zkHG9GbfB)Lnjh5_^QJ1^{q{m`>h?N`f5NrxNZ~eRq?+
zxHn^k01}n1h;0|3Loaws1t6Kdx7Xm4iHJ+#<_-|{zWedo-*_7FT$c=mKMm}F*0gb}
z>IVG!^HJeGMHihZki$}Xawk;4byTttW0cob&~Kx`>Cmv%`N7>vB%51G_7Aav@ZWm0
zQ7_IKI2DPZpJX2efW1S4rzt&w(?XRC6Y+wlt_-T}R~|?2`~hXe8$p-*i3`S<^_uLS
z$mZWCd*obsp<jZ3W@|f7yZ`a|bf4MJGZ;SD-m(^$Z}OVn*vIXdW5(Os!w&f!_{Zxi
z+pg)g#jYutVxZ)2hRI}-JX7s;S{4n{xW0W8RBYEAwN<!he^O?A4IPNFZb^W<^B_l1
zxR<hszimxpH&A;#O};yonvjzlGWap;?ylZ-3e$BJNBX^H%O_|cdw;dOs-nSu4m4*^
zC;DED=IiX-6f-+U<u7C(SY7ZQ@8FMU!GL6;F2KKew*DSz4>1P=T|ujR;?l?I%ihiK
z*Wdzbklbc&)_@*C0C8X9#)=_GSHtE^4N3vJMg?&9P=O9iAdAMJn+2(A-ceWYCqh}N
z`YoKdSVQH9+e3%Yl!yEDff5Mux>;X>+~T+Sm@Xh~hD@Hu|9@iv93Ix*Sc6O|+*3aV
zyVU98zFyOIUl_F9@4EL)KYm8l&+5v8cM|o8Wd@MABbe_^<!*e6?~1wME}V^1to-5Y
z>Tk*<&cy8AbwQHk;^yXiKUx>KTDRTtPw{5;51#c{gm6G8yHzCUVlboZf9hpj#NJ<8
za^G1j!EMx0Fm~5`rE?n1b(>3Wyqw03)Qf0ko<`v&MPs6hbVNKO0&Jv%g1rDUmCk@M
zV8ic{ZZVvSmo*Ki$^Wi9*tbdIuHJM^$lG34Sl3Xg0So3UW<IR6h$^*9>VPi26p6wc
zfUQWG?_f7j=t=&^w`gtRByAfhIp`odgLyz+rOo>dhRkKLyO9UT7Z2iigaVJ5wX-}q
zXnUx94l<9v&aBQ?`jD6V44mU&fU!qCZs+QuIF>w*gj-zDp3}lT>aSJv>vgFApw*A8
z4sIT_6<`$U9NYgJg>3AbG=`C^*u+?_wH;<h`)G<AY`TQkx6S`@WQE9?sWxANggS5)
z^^j$x-A0B~KcZm~;lPKX^$6bF>oRI_!X!o&iHe{*q@N_(*q^VjJj-MGNTYkk;^Jk{
z!v!N)O-(G}Jm>z*Us`Nm3hcLg86C`kDfn>uvS})D6ZKczW3pWGU`2BvGn#aA^DaDD
z)~TDj;**<u(k5EI#r&R>|7z6OWjQ|S>qX#uiRN$0*ME$~spda>gct3qet&cA@30b&
zE7qD?BNPGs!JhBh|I?K7dVasPbGAu$fg`7-=IUFvKt}A@F56TkZsuA>;u1-9{`%02
zNgQr=KDD^y)s)aQ0ic&i`9+$YV%h6GH`PZ>BC=SR<c#0eJI<YnP6qM9vzM|H9a2c^
zTr5In3JU@qH>{~0R<SS=nvyZeh+Rv8NS$6|91#CqIA|`!<oO7Hh)Ks+G%Cj_@dJuU
ze{)P7v@u(SO%xS~B4hQAtLPZD1A>rk9ZcT<PLf|)r4s1sOAUm-zX7P8aFL(3gXMpJ
zR<`=WuFUJ<=k;nXs{M*lMa;|CPHF9d`31cQ8*zVkFqg)BX-m$={Y{WW$5VAdtIl6G
z9z`UFVvLxyP)kpEWM6OFv$<|>lXPBmAZ;x3=59*peQ!5c4i}^YLu|adp1qQ0P=4e3
zz?U0WNTzL8oNEd9_k^}h#4ithJ_unndD|nD>qyK`^q?8Pr1*CoRCU}9A~uIqfDB|T
zjAW4k1-6R{0A-Ow=7Y1BAX(|;%_{z7h%Fs}<=rr&Si&EJWZH!vAkkwu_8#qN*tL(m
z;mJJGn^2Pb!chC$QLE*1Z1$Run3>r^j%~tM49t!Ki2T6fy}koBW<_S_@SYsI|4N8y
zNaXMcS4$&nQjG2ST2l#uGO9`bTIU-8BTq1HnyoSpP4@8<tJq8$2mNPvvIvQ79f$(O
z>u^g}nocLjl*HOkkRbdxmp&`;U@*#_0uPbhs>gkIkXiYYI19UJNRy-*#X&CK-(<_+
zU6{1+vx4t=7)sRJH?Efpck6FTIpeIcvH$U%WBl|k26DC|LdTVvnJNg4a7SR%0)COY
zP-myuF@<KCek_J+e?r7o#ClE&${)-l<!ghy1l9j=x?XH5Qm<$YtgbM1mf+{W(8rAs
z7upw_#?HUxdVb(Dy&qOyRZ14lI@S*O2YH1$)i0Y{R^lPX37@vr>x>u!dLDBTU3*mc
z9NDM|$i>kjAJ11!#p*=cjzghWKiIrH&(a6bd_RIgg}?IXr?~ZzD>thA?%9o=-51|;
z804QY;u=G4O=J<hzcWPLWz8qkzW)jLw+w>R!aRaOkX9={wT@U}Xj98Kl(kwq$|cjs
zUaWa~jo##Su5wENBxY$Y)cdB(xVXY5YLV_FUW80=DQ!3Fv2Y!_|M2kt;T$ntIe#Ut
zW3SZuWu3aFQ`G0S%(c5*qfhf{WC&x(4FCqFnWik!Vt83^WWid($gJj5l2+#3cB#T8
zLEc%cOzJF&q=3;x`I7p}&GRqC%6$Sz4p=(<reQ`~TbsMqSR<_>w+YpbLXgBO=h)X8
zJVhu>g?$fJRIS@zXyhwtng+1BG$QL7;JT)U7IE0w_*w6U^aKLAXCX0*2G<&6ByF9o
zFsDZkf<90Zm*-U<YX}eg!{Lj}Ag=H*_m5e1BtKZvozm}6kkZ{E^T?>(BPi?l;n8z&
zgAYIcr_|>kv6^rU1auzoexbn(7jz~J!BKn2fZ2{Zol4)65Rj-Pp2w(4T~=O>ZiV6S
zN|wZ!YffZthio-ItZAf!Ma~!4MoGDe$C-p(gT9V_i&<E?QwWEAjL!CSMDo%#rx?jG
z6#SL2znF0Um|C$d(wyy`9ONVpSv{hjexF8n?5|$)F4mO$vkV6i`HCp7x90O4T)6}B
zsIIz)I#BMFZ5IYQRJ49nkZTYrVYhTRwoxibwj2yM^K&_hloH`dy1$Dm2!QU@PBUp`
z%_szPKi&J>WoQfcILS!R<m0&_R>!=1kOsa+h6GsRY97ce2iUgr`Ycb;L60h1sY8Cq
z4YTZIX+81kizNk1eP{Kq|2p>CCuR|6ZBX-2%%<1*5=y$LWzFdrl~9ePymbH2%y2%?
zX2BHGK!nQQsMorHhlXKr_AW*Rq<zRBew$2AZr#vgtRUj~^K>#P!`vg~7H<D|lW@4U
z>0K^S3{iyvWEYsu#`mZpFfHX%U*<MfT?oirPd)pXWfbiSYL+H1keiN`@Ct_REo=l7
zYmT$39iFr#PVF8R5nObp>KgoraaSCO{GvQ8nRb5n9q(RgpM3&i;)3P5U3Xo|yiN<&
zK2O-~6cSn(6T$+kMh(7w1($j7LGQ8Iv(Q$&H%H9dZ{tZkO}t~3em(q5L}kX=xmFAy
zmTCP0m_a5}=H0GniBfMwSm3j2+eg&<Zn*^i9P@||Elx`%#S(tJWWn1->9=?JN5yrp
zE1`X{zr=Cr3r9iK6eTVG^9`p-V$yXQ`Pfj;8>f}$Qgq7i&++-q?y@e3(=<%3QHWVV
zB`dxOsgH0iM_L>9*<{F4!>qf0FobsFzq#Jj4><!L7ZPK?<p+LwDozBDr|nnjEFc5n
z5^YN^*T;bhg7F5gyEMV@q4RpNR&$*0PL*Axx25Y0T!>?X(4K$?EyO39;ld@E9m+JR
z`mW_^cilP>eNQ<o>X!UWC%7{Qc;ii3<2zy=D?w5c5=Y)?@eI|s(vcF}^<Og?Xarjt
zTblC)UONN8Xp=ST_%6Q1@zWsLrjyeIox`V+{DJuH@b|7Z#NGSR^Tb_P1^)<eJ~bA5
zTy7A&^`7AlmHoFPMD3SOj7d_UiI{{b`3^-Heudiz!}*|}N=mV_+&uGXJ+46Uyjs8J
zZGMIuOa!?IB4t3a+HJUDi|h2)TfgfpP5c0BDAzy8^@bsCh=)F##tDb@6(`(*+{0#^
z+319cFYu{t(|lzB)A`~`|7h{rWm!nZttN8vku7t(>gC1M4x=8|a5y0w=Uc0N$*!(d
zhH(6m=}^v3j=cMChydLCVXq2~CozkSN)m2^VX@OHMdWYi77^d7ml~p!2jafZi*t?d
zI^IEQDsr@jo%SwZQ~Mqd80!DY`ua;a3I_MetNm8ZLxyld)f)6lrBGP}6*Q<>j<1Y(
z6A5n7YQyvM-+onxx_xJdN76(!VWp&kJ11z{;oncJTmB5ASZMQR^pD~GF%Mx#7WS0`
zCg6QkrD*MFochf$?Su46FZ438f1U)0ZNyKo)6F-NvH08ZZ!cx6!{^b(=1UC}e+tQi
zCivltL+~)N8YjTd=FP_-qwYd{Q09*O#5HM4-8Xm<L%Vse{mFz(fy3OH%&bEHOf=}~
z;{Y&U=fKe7aU3GBGky*iWM6h?S~+-ri`Mzte=wr-<q(eVoUb|7G#TRZ=|1AP6E4WB
z>9k+I6@%_*2^Ytp%SuKaLKQ+D*~ms)9)1q*?f)<c6jU3Z#Z1(ai?s$uBEiK>hW=%l
zI~CRUydJt-@~^1Wz(ZB)wv#wAtvB;M+x18IDR$1hHQc?OUq0{F@N|I+QCE(#LJ(>Q
z!+5cmOZi=qR#*IfD+i@vML0YduFq(^+u<+lj^sDm8(Q2I{m;(-Qg#12N>N#9qzKnJ
z@Oxl|sKp)EHDEk=j<6R=3x{_5S-6;b(Dd*!8^93cNX|hX?OqTLjaW@Po<Jp+XS5(v
zF>**)R#w(e#i{k)uTD}E)?25a?d%c^zj4`4{Rqe^X;+ao$%lBYfUN)T9l?Bjd`^E>
zPJDpPQnlQN{_Vf%@^adFf-WDKf=q!RtPNj&ehyr{YSS|g0C*NYA>ElkpB+;-jOw(z
z6Z$lL3ybjVYeyNsqV6RSB*D1}Ay$-`B<Y(BWg&+>)41zmGvz*PGEt53C_0?z$6Fcp
zIvDRd<w>SN4o<;u&GlFRp@syI5|R(R15EF%+W557e-AmKm#PWGkx$(&G>o|Wk4h?@
zd1bC)+=`e#!B~udY1LI=I?zWc(mT_(-S@DEM2(2F;`niVGGZz|_TlniWJL1l$A<yK
zeOge|leFIgQaw2IH=^M!l1Et5<P>hLOJOm-_}93V6ur<|Z2lx;?!V8sO9bLgm9<Wk
z!ceSr0!~L_u8okIK*+Se-+9{E`seAON`hS`N0);B-NE*RYLnY7h*JyQK^UzBZyLb^
z&vZ!o*r$;Y-6VOO$0Gjx)~gB_4l>v7Udd&(kavJsim=5P78ntzc4aA4A~_5Z->I~j
z@i2Uh_}CMqS=|j2^n&jp-DA622o+dmpli4@97xQ^Nw%MKLrV6oA3GFWveqm(l0}eu
zn#RyCGAn6XjlYj|s=gqV<fIg0Lu4gjSJ9<<^;+u5@?cQod)}#ZXkE4SzvOUnB%P9n
z2WYlqEZ~*gqobCx;t@{W_zn#oZckUPLvJy~aC}dmE`3iTj}XQX+=`dAbEX*)oJwhG
zzw9^43Qsj8#<JjFyq8_v1~1o}GE%!RQ@O`YZ|QOMexUf}a!o<2ZAqSseVe9SfDxI&
zIFHLbeBCv1`OopXfFJPVDl`3Ch*$48oM5M}muS0BZ$09EeH{}VkoeD<t~unjeqO~w
zDoRHysgdlL%{iBn(uIznu%14OP5e)&4ze*XBe%@lbv6j$R<beyX`1vV9y8ibvokYM
zAen4<v<<C`2Gqsw#ND3bJ<bN+aq;A+?YaY)eYED(EqR%yNm^AoqF?Gt!CS8>7!M!#
z_v`%|C8k%Hg4oCs@HG+j*xK{!RUq-%@Rn2dUJsLmH4}u-r7Mv*6c-ZUKAu{5|Ej00
z&DT`M{EK2G))I+9+0A483jK~^e<pX8Al7A*5ewykxR(IyhJMIuy{M3{_|(gGyQ!f<
zqStzsV!x^zF}Cqi=kw-ij?GLi64L_W^}BxzYD51Bgp(V78zalw^D#A|G7&qS3I@ec
z<F^&M75M8DjtZhka|CS?^q_APlGqrT9rrk_hsw6W&l9A39zV&$h%R0m&Z#2nk7ji%
zq$E96xhNV*a9b(d*E>-Nx`+^a(_MHcm>8QfL}$9=zM%}qzI?!nj4j|XcPp*B=q|4b
zZZMjXOPP4Xp)dR9cy+~tTlxFqla#{tId8mce)Tl7ckNB^_kl1W%by|~!Zy5_>?E>7
zAx&YuFp4yK{ErdnE^lzVRA#$%iPM$3b$=kmr=@CsAHsyD?<*uZyj`gK6u-;YaLgG)
z^My#Gp`Xb4;hD1`RhdRj^}yvVcCjbvm$v<@?b6@*&pEY@CPuLcR_wJiiOPk0@LMw7
z$|(%$9coBiq+N{wnw1G#Scd8Q_bHx<mF}6`mLtcqyo7)eyYAY-!9m#MFa&viz=1m~
z)9eW!$t%^?D@|yVGx~iu3#B~;uA|;r5{%yhRoTbN5WOlxGlS#41oSX8Bx0`gk4*Ji
zXTR^B?sl`93Pf_&dKceJxs7Bn#cEx?+M>VXAfBgDoo;5GKsgO<dI}NOrL_9U@hQw`
zGWtyPG2(E!!k}?PS6ka-r9?HG9`0^oXDnM6ECxahn80!t{{DUAL7Tb1-|`aHyPkpE
zB`>S4U;OLWFWa(;inhhW>y~gVue5L9v|CpkOH(h{0Ch#C6&BqpmFY>(JgQj>`Sk$f
zyKo_rNFCbR{kg;|IyceI-^}b5+f_`mYAJ^~p0KnDX>Y&bY}CVEsF!eT)B>D7&i8`K
z=_pb~tJ=NL7)`Jmiz#Z0@ix5p5udp^-=deuW&!ao5B<+bHmpvRfn#8H$%LPh=Ct}m
zf$Wni5|?aUoA*KmlcHCGyQ15n2MQ4YOXYQ4xFjXWreN|H%al)PBppVIq9F6n5CZT~
z#j@x0N8))5x*g#WPteh~!6?P;qII2*<Z&Lir*UHD;)Cb4*b04da73JDNHmV&X+k#L
zc2(-GM=yrqMgB<lG3xaa$qOV0JE|$4iX+v+s|bBW46vAB@0-~@P$33n==V@Q{5F$_
zq<oL!zh8CQFex_`%=DAw8aTV#OiR$>WK7||)5#SbAvN20yG=61c3S8wm%riy?`X_x
zrX+z{yP%u_vfVMc);Rd8eWaovdjxiP(XbZfA#+#OcVs~v*psO|*5iJSPHP=Kht~n&
znQK?xqRLe*2W9#Tsz{reytY$V)LBmQ`Y5QhB&dyy1QV7n%#C`{qVcC%x)fZ%#9I=%
zMbFP!X(^Ch_Tup;zF2ABxR?S$wVK7XJe9kvKVr4qvduPTY1oj=I_Ma7J>(bPt7RW3
zDTx6~l*w%D;n5gumN>S{O;Gceie79s;@Zhe?fGu@&F7NtiSMBV$;}1dc6wr0Xwm9s
z)l8FEBCfvRb}@iixF_=rlvUahV@gjhtKN`?5J`hHeX(e+)duLX-SjoXC>8OCFe1BM
ziA|!wU3lY<c4hXOavBC%vy5T|Yu2<+5o~$;tDxXq(dB*EqW#NLiKRmhp96g?xz0IE
zkgX7^6}6()#@l`K<W&q1HdCi^NH^@VWEeFs2_mS7GO<Uk#qp}+B2y8nsjUSYXPMK&
z2-=99F@q$q=x%1Rkl12?f1VTbf<>1GXY>PCP4*Z?Z;NC5j8(GcDU6E6kSYvoOj>tt
zoQSp*<`Xz_kH64OHmClmV@inRGW!SVY$OIc&hO2oeb`on5OZ48f-~5u|8_;1XDFw_
zR7+#WRidm$L_~ZARH%!hK>vh8F6ZIv((%dIC@NU^*A?hi<7EJ$FnrZ>tvKBU^zCkJ
z)ijB-LGttSipV9>*I$acrT(44(oi<A66jxsB(@}CS96jQ8;GG|lhFFZ_sH#19M66#
z51NF>Z?kQ&8DhaMe@3&XdS{?SB;u0hao$Vn-^wc=79wyVoKy$Zo=4KJc4W=nj#|T|
zxDd)aADH~W?VP1lAiLzQYS(QaE4;u>Yory4rBKgIx;Dd%7$Q{!lE~QR0!N|I3KCTn
za}ZxP^9>dAJi>e3Ej|Jm<`E~ozECVL|6-^Ly0?S;kK#3SizTx-MG)x#7JVgZ;lTQ?
zKt%-Qr)V?N(_d!7yQiPm)n|K`><u$I4f7e*sK1Dy?-ilstmyQ=v&#E0c{_o<+2J#{
zuIHCWX3oncU?m8R^<DM=fwQb?18VF!V75n~=6s2;NsQ$Pe+C;=kR7zVQstqCUs&rI
zY?-Jg0{!4fL;VpgOwT8q!5pgVr0mtMT=C{z=AxVocZSB4xl^8W5`+Dc5+CS4#sJIk
z1%)LgRvt%SVy_WT$_u@-`Q_p8amyedvirysv<`IS+3DxPSUn)Xh{V=c5gxHLICpdV
z9bJ{EX#;u$V>dEi9c5WQF^QnA4xp?Rx0K7LmzCMM8N;eC4<_#yNfAi(txcp+19br}
zdLT5(si6r8)Bo0hBa%UxsS5M$bQ}^PI=6IVSN|_EO?MSqI!tkVnLS_Y(-6{P!aLeR
z1SgF6iDD{{BLllrqC^@o-D;Ji*KLT<<JsOYNIHAZI^*r&P*LUBgrHt%c^hXUY`tiV
z9r$j4wKc8pGXl>bbBpc(RwZIkOI)`GEH+KfpF<YzCd!6fS$46HDVeWLswULLy8>AN
z^6d4ua{hM|{EwvxH{^&xGJW2Y>_T|E?9{d@Z<L3goWSZJ_XXmC=~(&5g8ttMEtGe?
zXN4#c`E|UVB2`*>n_UH{BEX3!zc@OLbde9bkJ;bJH1k@^fjK&RF2K4@t2tew%$n6Z
zX(g2WmmzLP1j=m#OR$Yru`8(i$HAtbcp1diB}gUGaGJ+lA~oj=m{H`gKV~CTm)J`1
z28tua;E#g{rOu^e6Ab7;a&od0P0Fw~8hOI*N2`v6Os7<>fS<Pg%`~x59V(;B8J0J}
z<x{d%*<ShZC-wCz^yH~g_mONK+<`E%a0BS47BL)_)OB;<niTiup)q>=4`KDZ3fHKM
zl-BJ~{LWKq7EEslBsxh{7h(u9tYz|>Lp}$Nv*z+0-;Xflv+jSP{`pAHzlf-Ww_g<e
zEe0{%0n7SIbX&d~b)PY#dvqZDO)Rpu+CS}L|F^U*l(`&)a(?oBIE3K=93bK^5O`9L
z0PA|(om$a5rwULtxF2V?hRh)%DCw>Zn;wZAF8e?>vgAYMdmv_-CqzoPOZn)@=i-H#
z3qbmQsrn$v9%3hhuedmfcw|OgWQ&nbqA%=V79TR;G&3_o%Xnkein(pXGMylKcgwRK
zJl0IWXFt!$5rmMblxWw!P<J%D&)~!tYOWP^s^>e?dUmsK4byNec<@o-&b7W>U)cKK
zdlUPY7RTXA0rH+BG6c~#W<{nrmvr+rT~qin)LE^$Q&f*~>2z*~fyfQP-2$*i`N~2l
za@IZUcCxU}_4gtRs5)-|S$DT&Ud2pK^N`TY{5NMk(fBNRW5085pwZpi<%4Lyi2V8|
zF1asUbXf%j+j4)cJdv4lHJq0J2f=M<Klqz*Q~O!1=sq%U>%}4Mv2x-xxR+&>$E`E0
zCsFT2Be9W;_0+yMekLHB6V3nuZsgkoI2Y8eU101BpI@5z-hDhJL_iGHM9r+f*tSH@
z;Wz3#Vn(mv*wl?~_t>4zao5wK4;3G~5-~_wEx+fd<GjktouiWqx&Am+Ui16e(og!&
z^qr`Y+%M?Z1m>?e7W#97LupBAM7CN?vZz?XUk?m&=aR=y>>Rn9%^*b>@@ZP5Xhm@y
zSNwEu$|V>})Mue`nn&wuVPv@Kw^3+ulmE7vCQ+d~u(kN*mgM@<>0JaWT8#B*B&jm;
z)=ts7d$<=n&)Si|50P|Nyy)>Twvn=tkr8sh2LQ0?(9)!2MS!5pK^+|(D@#v99UV{1
zpkS?$?7HD<1&YAuCoi<IJqz#<V(~a|3kx%hIA#({AEiOO60x|VPOtTRx&HNj328ka
z=!*RomFzqu2X|R+RT399wewa!y@;d>d7X4T!op??$fWkyvb1vfr9n%_gKC0t4{h|C
zVx87LGkApJOTz;N4Sfr0DN0FcF%dNg9Q_ed;!Tu6hJG+)V*Uh6m}F9~5fP)`C@`*g
zBIUzhSY13C<%8?mnf*AH((K%_&2~_w-boqpDquTxvt***WqSY<aYKgPN}w<QmiY46
z+6*7STHoFh`W8|p_CE<pLP*YynpC)Rp60En`g})_nYPJ9kGS1`Sx1g+p5ybcr+?06
z*|!<-a*+*<cpDlTQc<VTV?d;J(=6`fFC>A_D=?oL(APH4W36`bdEB-^;WPE(@kt@d
z9`%g-a^ve{Jh*Jpvz;Og|6HcxuXie_sYQt$cS2D(dMKTJWnVfPP*bMTlr3s5TQSU^
zX7<+3glGG6Z)k|jD&c`EkITcH{N~GO$?|IFS%>lZoI_7`5q(iNADWGhaO#WIK7=++
z#=7wE`Gf{je<iX%^bAvOlayMlKQ(>tD{#FLa9*V(r^0_BQMA3)>1IJ29+rkG?#M>W
zn9sXUok1GA(dm`T%eVsqR7^AE1OA-eVP<e%BnOKfWwmj2*}=3#Nb_UlEWz`bau#2Q
zEmc7gKD8lm)c5VYAP!I@h^h=V`7-niA<M*Y6I^(?X{Y`6t`=Guyj2QejRSmO{iI%s
z-{axatq{%DT8NPBmK0@aQxs{;$FZT9P&1=GdxBWe=OAu3LFZ6&BIBgskS6ew+IM&@
zt}a_{XJ?l`ZZMBD5dZd3r09<AHlVZfHVT))c~9fyB=g8@xZ+nJ>{+Sw-$DSG%&Hd8
zAnLU25#2cQV^UrpvQK6X6T|I!0MYShWiw2$FMVAQ7*RZ70&llfLmk_txD;dJm1v#_
zQ=}EBSQc^WJm*#*z8;wz!^f*G@$$9RzzcaT5)WHi0d4;q<}T0^`^%dYO;dNBA+^oX
z<^jE%G5EEd$4k}C+4^Q_gS0^)>s{&f@}uBVUOKo>zI@cxcSuB(ML1<wItE;XrQkD;
zP236IwSDWv%Yyl!2*v2@Yke=Gg7=#$jI29?=(=g)<fqF9&00$bvBE|`>=`GK7wmkZ
zH8y_#yM3mJYTv?QjZaZ{;QIZ~aw%9$bm6eMU)on2tPoqOta+&&92}l$u&=N0{RFzj
z(U;USgic5VbJea6=c;Y++M+k4ZXaKMd`mTwOLoY2k0&?a3Y;Fa&Lf)Z96bN`Ym>_$
zSI#>8$DHmHY`*Y0(k#TcbD}QHCC?nscVY$|RlMlDDNvE&sBa+rD=J%j(WRMVbF0MI
z7A!D-!geGZ@805)j9lc$J%(^@^zk9I(v{A9v>^K0mUan%q5w`?`Z;aqUG}$yO9V51
z=s3Qvj3s*yMMS*7-CX$+r{xC2npKY%3TpzLN^&Ci1e+M98Goqmyf%l>2E(!eHA_H*
zCfQ%k=<%+NOo1cV8kT9lcf$+$pI=T+NyJ}yzF?K_VMR=;rwQhSr+sG><o`h3YWqIP
z9JaUP@_%CiP9xrn)Cj3G(@7KTVvvLv(O9G-IBgMZOwsPQgz3D5W3lb0oqD!bBRanc
zs;)F?U*ymCm5yYoh^G+qao?N#F7H6f$|8)NO(;Mjxk}bts&x`gn_EfMCO5CBqgXNM
z8=giTjZv4Y3<mkCrT-QP?qW-ZIq7FprkQL($Nl!nAkW|d_wb9ZY1JFa%^r_c{s*p?
z9ZXwk?RkRq-(*x}E8jd7hPN=*^Rb;+GLxzwXv`(Cf-D9}wn6`NP_LLv>0WhRh9^jV
zQMZL(Pm9@!h|%u)`NuE2VV0LFW1R)<>evP--BSqBw9!jSwIMAXwWC?_x;9=G$Y(;V
z`7`mcfiT_F`z1;GuLkcQarS`kaSf4}j`}tkmqqR-@{*W{><B=~##L~&hWjUb%`@TL
z@stQ+_wIdn1N0jhprz^-<^I4!I9GK)Rm^3hPYY-qeYyaT*D?nzfzg3DQe1~7)|P|{
zY4hZodVCoCF=4iUp6ub&#?tJu_HTnot9Io10&h8BQa^l28(lb@TIz7cYFc2@K6yHR
ze4h<GHBY!U5TgBqIn&D#hASxYFCGRWtPW^##pePaU;fc^rsH#$wG{kgC)s)N_F)Ms
zJpyaH$m?~BSULCmOU5q!<WEva-!M^?aiZF$<^wbt@s8E>10$+=^v<S))=#YVSs{FY
zGZ?ile9>j{#z)DnmFs?7c7yP>tensTmZPFXL6)+rs?+bdc_M8L!El#>MK`-~%M~&_
zEWYd&UDJ{Sz9cgl2Dl;Rfzp>aK;&Kr7#l7dHT<rDM*%N7(j`C~zl&RpY*Sp8qVkp9
z63tYTG=mARA7+}3GC(OPz|5{$%C5Y+w8A74(W+Ms>$xNMpe|l#_zz5&JP_;1AjBQo
zvpKM}IRVS;g&I{d_y~=o->9p|_Zk2k-;WrFOKW01I9ij5c1~z*Vf4RgV&zr&;+&6l
zpi9Vxsa@298Qx=cgaY3qdj-$4HZYnGTQkLteYp!rD&2dxAV`3eBy<HFDNyhZ6Rw67
zcnWy^;@RS?!5AI>_f2|W`3tn0cn*!^UlyaP`f-KUSxN7U>j~LQ3tsdSx0TKP^k{{q
zIO4r6rIw?HZlBa0g~f53{L(LO^TuDF_H%wYK}`O9ln#n5B1=G)<SAx9h@wjo&0c&{
z{Y*stEkw5vd`#HE=cscpJOdOFMqvbw;OtA&s1I(sV4o{0IqHHUrKJoz&{4yWVu^Wj
zfdBGKHoEN*=3x?OVm?=l2i+~wNo=xx!>O%6fk?}zSw&YEtN8w)!%ep-X63@62x%rS
z2m;a;qPa-@W+{IvA4~y41msnnR93lOE3*dkJiP(W=@sWUbi0V02LsHCBXB}!&eE6a
zO*S@k{8;dg(RmKW^560YSusSQj}bW{p)od4Hd95rn6t5YWeG_MA-HQZ;t|YScE^B0
z{Z6p5MLvx4f139i@84g3-n#Goin$h2AQHYdGdnww2~o}B{gq#0%YmCTw|i+^%Ibpe
z*(H@v8BXxs_$=KWqJS+E#`EjFhqQ29Cwq92TkpSS!osxCn+hP2v!ER74&FT}jX<k9
z|CS_Z&K{TjZ3Yer@=)4I)()$1C@lcE4gD$nL&#B9Rz@4ty4Y&MJlVcaKUPk;i^%)s
zV(Tyrs~*M(waaX0Mmq8yyz$!|RoRcEGBx2&8UfDDM*ijH<)p_|-+4YpR(YW~E>JGq
z%NAN{>Vf{qN;m<P^&ccJHD_}Cwy8g<yvHptUz-+4Oce_?=6^yF0OL6)S3xqC%rD{K
z(7k80b=&oIbs0c^k)G$08%X$LRQ39Mq}+B<04DaM6^NzU2gqyQ^Y;s(AhTZtt^S@|
zKGu7eqTStap2Iu6&-&lmQX6kR2^FZZdMT0qi-n5Z%?W46Ly5COIjg7aTt=h-d2=d+
z7}`OX!J+TEq>DkX+;j-#G7>x!1-x7RX%BNoGq`#eCMM4Q@4=~(A_;4Ha8AM^ca}6~
zg$A?M1QgB83;Q+PKmNQk;^o}4?-()hd5k-S^Oi8(26MFBznQ&tD-E{G%gS0Dr%O~*
zV4mzRcgD)Wk)i<{Fc}(#hL6HHHcRftfnepwQFtg#(GTq46-O_GpoB3Aw$KVt8~S8s
zW+s3%t60Mw>0SGrZb?0wQdc_N<<G8`d&5ii4_s4Uo;;ZFP~^G`XdOF7(1d45M19Lv
z;Fa<#fe4s}!if+(+`m@7<cbU{uk40Ve<Lvc3fAt$PRE*5ax?#L0i7<f=2>lh{a>I%
z@C~UW0SxG<gR_Uq6+Ir34xh{3fQAxI?Pjli2D{E?*|^i$0CJ;dqyU;}MY|Sn#$hAj
z@FJc|0|Om$ko+|R=<MoeeB4>)+}B|g7Id$=o7?|G`{8W7)h_u|#4Z2Wxa1rC^;=UU
zv`}j#^z0vNoj)e(+-21S8livPUU&&f3CNfmSl@nAOrbZ1htdP+;A(W)<N`w-{|>KT
z!ZQQip0DRPhGrac|KDgw$;LAID-)ia5_Yo<Wefi3G(4ZEsf{LRrJeaIs5WCXGW8L!
zSITcZz0|h%*N3J&Wo0OA5z^rJ;21DAiWx;mGvveUV9M%*UndeA8PyK+(NWbDpn<4t
z@4lA&%Y223<Pxb)2iUy$VG+cP|2ILPxHnl>9336q8X~8_QVS?k-#_X{!L!C#{G>4*
zz2F-y?NTKz_Z@2dA6m1k4)iWH80%;XufwG$i77vO2O&vdOUJV}uzvZfpkGpgx+z8d
z)G_gq5$v)2c61>=1c%Ij0FCK2U;1y64F&wLddR(<_vTB4^xvsqDnKB+^DyN{IUGRU
zBBYr0LnVW=yL%J@=WX5}jSsOhjF&DP5&@qL?mTZvExXJ2{;}o>@c>Zu@H81sBcj8d
z!0HKZM!e`PEG9zq{_#Dk_UOsMDr$B3S@vZlGmFCQy`c{}IyYxN?P5Ss<PC$8ysStD
z@u=wUx;m}$s;Y58Ml*f=1u+0oiD__~vJQM24^BVfC)Gj?cNH*L37QpbyeK%h!0E&A
zD`O2~v>xpv3R{TuWRk6|EfePRtVcVSrZ9E1k?4M&tr(~T${Uo=b2$bE<UgQtp~!Ld
z3L4sAgO=Ep)IVd!dz;S;+d^P~6fRv@6KYv6%45x8a9=Oiq^_wHMg6_D=k^l>w^)E%
zhG`8ynw7GsZo(=3@3uM!l<tK=LGRr|p)BMUOaos)oa(tpQS8d9%1VD>J9Aag>F^>B
zfmz%T1pSdx^*qt2fq{np_l$T{8KRV5vhDZl{!A2s;}{Rt`mYl?Ac=wb^(#tv(WPWx
z3{bqxCjCEP(m%BmuArIm|36>)Bg0-xUQ%n;?Ch)rj;1M?<HcnS`D2N~lYr=4J<}}i
z{}7b<-@!HnYq8R105pPg0@{r{^?%MfJQQ%08jKfc*tt=6^}LEL?4wdE6<9@dD;Hov
zq#57@IBT3K*UcZ*8CUp`${|D+uWp#T)b4vbT5k;r_#5x@zZ%$z_^;3Zt1Zxuc`m}a
z4CuW`&nF;)sOqpi46D%n|KNxb0yQ3ovlc)+ouJr4)&EaZUrw5LNx%&YH;CJc91Z%m
z+&!x#?voYP<Zm$0MUz|C>b^h4fQ9q{YchS=u}ND}mhGzd|KRq33q8CjLjz^?pWmCV
zC~4IHmJELlTvr+Rbtn@8t6<kt4gMt;4`U`(7;Yn<5t(PUvy^fF9?&tM|M)@%C@@i|
zH$koQzLda7N(Z)s($z#kD**KN5mNs*JXA3d@LJHz18s?yOajW+vV}<}F@g91Rh|%~
z#3&%(n<G87bON~;783l#RPyiE3Jf_=lLP83DD1$AP&yq2O8*oU7b65q7EEkxg@eQ$
z={XNx0RcjT)V7I6J6-Tnlq2MZNcHNG3sOIW9ambq53hT6>$xWsM<fdI+TLc)!KA|d
z>3&KlSZVPHEwL4J+fg~_dz+Y?j04)Icsig75?(83{p$F2fB@t%o;^N?6EJXWasEDA
zU)DMci9E61Spxh>yQ;BqksJnMiO0c>n{=!Jb5Xn6oQN9_S}C7E?#YG|01tHlzQa5T
zt*8_i7lUWCjiVz-+~$wc5)JEE3h1N&+y1X%_ZuN|YYIc)vsy;TTMZNwxi_**-jzb|
zUFgtu6>cFi42Ql*>|XVJaeu41D&w!0GzR9xoMv4?;3e8ITfph%=S1CBC}@Q=bYkwU
z5Kw^kt$4tbcj>=~SR$^CB5>*P2i~oJ{ffe-EWS5aZQ8jCu1IfC1i%XcHdxJidmj8*
z1$sIZ-g^^;7T~A&H}ji_Hl$)34lAmkNO#ionTY5lyg!xG*^3RqdB~)wMNzIcY4^b(
z;oW-@^S$x&yVx484^JC(jEsB-KC`a2w$^rcJU92^Ejg!|<SRLN#agSg{EN}Y*eVQX
zX=%Cg6`geUwJR7-KAv1`k*Sf2(8POv2z(`HF~#qoW)b=#r2`_!f73YvA;+E)aL{)N
zgFIk7eP?Fq66{_Ff|M6ZXL)6%7<qQ!)DOjHURB@B$Tso(Q{ikj7oP1?B$9zA{uCAe
zhpYXS&cN4>R?lN$Z}5j&lPi7}Zl18m!RX0KtH^eaGZgGYEBID<fXeK-9%}OzXVC8F
zo8zT9=cl{#h9@&GUT{1vn(skxP@cm7AJc9ap^<YpLc7m3^AaeNtk%o<DPlpSbk=Zk
zUlV1uj|gBNr|tdYviWfL{DS+RSz(-&1NxX*S6aOS|DWovJs#>U+K*J6Na-kf77-PO
zgeayw&v=!`A;d`Xew5LO@v06LQAUyX@k%1{D26ek9PjaryobtrjOolUgE8ao={V<}
zd+&eu^SOUqf6d42`Th1<-?hGL@3q(7Tl!+>?Bg;ElWT2HWwdzi_<>i29Dzk{R_J#o
zE4Ty3mf$C~TABdGO7Fhe`P|-Ry%_9X4c1|v1lSOS8W(wZcW*Mje`)e|>QvO(TczIB
z3*IpFB2-CdAp{L1QHN}<eiVRaA^{pRTr|pXw2m@JI=ET^D}Lcd?o2x$7<1p*-ME+g
zz;FPNSfGU>Dpp7;>{xUW-#+P0u($7t%Bkw}>lgU@`rkO!?1hvmgFw&ozZf5S*?;*K
z+Oe6c$-7%{O;~-)d%7)YassHPGZa(edKEQtBZ5bgGEvX0;;&<ogM+E02#siHUUH&x
zte{wsfI94a@O<wPu6`Z?{qXUB(7q-WePUONJalDokgNvLa*kY|$r%P9Ea-RUU#{lk
zrcJoC^&`AdxQmP7ponzHf3({BbaakC2^R`RPiZ_;@{pfFr4PbnhcC)`DCg!`Np+sJ
zhl<5+gWyyj$lCDcr_*ieoimFr&dw3t4%Vl*PwX23PWjh^xzG19`7uOyq$5Vbs`uj2
z=%j@L4d?UE+*Pvvimi#Uiq(+6>HR-{*CqsNg#YQ{_V;l@asLhm+pUfGj6kkbSjG_2
zSVhDY1OFC~brfiH^3tZoJfr=-|Eq(C-eoTb+Ad+;PU6@eWfT0-ye>%HxvXwWF;zqU
zTeha_O6pWFNQ+Cn`;4|%R>v0na+fe=*LS7p*d6g0QE>^01i%=2okR&h3(^kzAi$5G
z#T=5m6fQXBAUkUBbrG~5RHd7M0NAJY)OuMi&-1o3%nrQt?*5NYTnW`!(5oa3;<&As
z46Ti4=iDlvfbuWWp`SCgZks;z`dK|B$$Ix5u#&)y9sg4q|Cj#^mVDK_Blv(9@PnbB
zWIT9l4@G|<mc;C*`}+8N7BPJVvWtwtGZebv3KdeeTU8Pw+{Yqr?ufntwx*-|6;BQ^
z-jP@Tdu2rn>M69`KNA#v6@OYNb)PNYu_hRO0CMC&pJ|h7wj(xZ1_jA9S*MNSxx?ZD
z?@{K%`7jSWe>BgOfrrbr!!4EIcxNeMRrverK+v&Newh^B!;4H73nZg9+|wQ6zlbSy
zP+!RU#?c}VSrOdr#k`Y@2<{KULjw_s5jIve<@_7+P91Hzh{}A9{+zvts8J})e<?Lu
zh(Q!}?H(9m$=7$h{UbKAU1(irBeS@7{a_qUc8~G}6HgGKxVPQt^II7h3V_T;hqH=3
zO!oD)SuIco_Z1j3iqH*eHFTwfTCHSX@4nfw5F8l__UG$@oUGICDYD^;Hl!Xj)ot%+
ze-}ZCh}fQV@!m||!ni#MUk?CNW^DhLo07Y3stI>Vo<l8#0-n669i5{_e-g8w3To$W
ztz)2*6mV?_q3;aEU?<<T=hs^kl>s1&$9`Lr7LEYdwn~EJOU)r9>$v%gDe#eSKp)5F
zD%XF9u~bSpTy{6_j^byQgAyC#e51hZB^x6}duPH5TF8iNh=^HET~a)j8rhz>A&`Zz
zx++3uSC=4m=#bPWNywMoB<M_i0+wNhY8&dCGmq&m2Xv9BFVNfP?d5fczfn#${R$v>
z>pzO4Ku1YLoGXY1e2@ak!_&O7j@IBSB;?L)ny3DQknR_1-{L_CB6ShBD5(0$axhvQ
zKN(d<@$DhoY){T0mOS%WmeS{@J3S?e%+pTCrqw{!>?|z0jzK_HffsV1@f28Llpx|{
zbNq=&RtxW1;Yc>w$H&J}c9hv&08cI(JOd5_#<V9Z5GsRaIwqPw<4@SUd@Psu93pAB
zV&H*?CHr0$>~XD#Y86SdT4Gl9{?LhmCRZmj^$}QxMe{h`Z9X+f`PdN9iKd7SA+J`E
z!AkQb><ljT#P9!0CshfkmH(m>pBNcF0Bx{vbOz+iz`#IhqAoQEn<DG=ek+4qPQYKP
z7vOJHeT=nh6@|J;y3V4zU~^3$olSuFRPs0adSu+x``6_~$t0n5+DJ=BhiSq?JDy=1
zFsXj^YkGfwe`;ysm^=bcl@X3;-duMB`E0YL^|_oVj%u{7$0&Izr6-Xg+!rPrR#05L
zAlszsll)HW$f{_Q#$}OxQePquRU#@&9tXEqBPtE>;Wf}9eDUy@{XCHHbkIWT(klWm
z`DP=N+8peP*@ag0>==66D}FI7<ErNNindKIDAlIKSbv|5-d+M0K<IJji;zy9-wO(+
z$0&;8pq^g>EJ}ET<sGU5{Qbmc6qUPjR-u6ON1$DfJZVL$sZX{NwZvloyrvVn^c0%o
z@8|EIwR36*gz5BL>LlU)`xFpiv}O(PDBJ^M3{ntcD8g(w8O!)drUhtq+{WI%NWuHQ
zeDim~L-Y{yB<<#KSUhlRAY0qZf6FF%@#2R3xsJBNe_S54q|B#AC$17j-ToHteko`)
zO`b=-1gxMqDo{ApCCyzkt=EIs>42>{8Oa4F_zguEp`V6_53_Q+fCr-@xIX4OJI8~2
z>((6S`HAQOc*g&j@WgHi5vP(Io@Dg<8ugl2$yllaXc(uf4JKiDh{{fgjNy`LpjCAs
zxIl{!Gi_n4cK*H;=iJMOc}<f&=b2`x=SdhP7U)hVniaH^5r>aZ^dq>NiD?5v8$ir&
z#(m{B6k#9ey_>zhqbp4Z%_X{au7n2oL_N=w!I3d}6JXw<q-K8;4VEe?V5ayG1%aqP
zc~e?CFbc<2yUzYO+p`MAuel+ou~)~2vWJRFOP8b}yoJxS3Nu={re~}^;SP3ZNT+G~
zkA4TPLj<%_KOPVQcKvf2zx}y+3ycX2=z}ec+6RE~ogm?RFPMSx7p>T)NJ#(f&xKq9
zpT2q4j`wUgai~RTkB&YIV+9;8xBTu$7o8?H(UaTjg{Kx=dR`AelttK7)a(P24!HQ6
z8|PB3a>vTwrgq<iC9eWQ44V~D^ITkFTcfMh07VI{?_o=eI&$=D5V>tT0a%!nloVQT
zp!1N#&xObGY=omwJtddZE<*6W9Q-+kJ8-UYGC0D?n0HNEeG&%<!RCbeup&ZlY#6u{
z?=0)YZ);%RN#IX1KH$<UdBCa^V?!HAI7#&}n7hv<?z|EF5Pb#sU;!A_?3;S^EC|#)
zqy*GBr6;*f4&08I0%`t5H~Q^o4Eemn*&p-~yfF>I_gHCwIm%93C;9(dMyO%#28c3k
zG5VAFp#RsPSyPe6DZn1-L{Xo=?a}Bx*Vztk=&Dq2#sm=blYTP&kRfkqduW3agx!49
zuZHxUuK~+|bY=TG^X&8MI*?<K^A4bc9!u*0PwAl|Ft7P7Ek_}55S+GnM<*GFYD?|W
z1WOigkto>>9rZ0VAX78owVc<lPdeDxR8>`1uT(+OUxa1@fX)5Hq`pY+Xnc0U<~Yce
z89<E1V{cV-&IFy&(9nM5McfLca`dNh9cL4_x{0M}1rxSDj=}|^Zu>>@|8PaisQrFC
zz++NOmS~ZyXms!1R1E3YYfwYn+oLX_$zd|DR1av<J+zMdIB%NCyZ$P&5Th9P$a<{$
zTE@s(x-?X$%GuLXvx=oh%~bDX@|t;~CbdJek=^x#tdZq&7(JI_TTWeV?b?SgtzD*3
z-~M>ZXVAmr*R>ILD9g<5`jXrw6^8-);Hc256AaF7{Ta;Q;n3e)@_X4$pG(W<8iL^I
z3A&)X>QiKoe2LofjdHBJ6=I%#Hkh5u;zQjRy~9-Otn3Q0q6F(4gU;%ej!_cB=LWsc
zg)EOZ6<ROk6~Jsu1{I8@l4}Uw#Gb5kA=xP_z2NknZ{o;{>|08Urz%aT?7JWQ=f+_w
z2t1Aw276;iPAn*AP$PZU$W?D+SHsxXyRir1<-e8;CWCY{wA%3vX>`=FW+Gq<KSs%Z
zy7D`68Ec&XC+W?TtQZdJK$EnfF5g>?PO^5w)k^W}3ZX&mdH6h5XNE-uQz51cNI~Oo
zFwSK?c;n#G1OKn`p)d-mN{a#!(htgD!CQ?1-*-@@wdY(Wf|!j$tx}TXD$h;J4>}I)
zw9L}^6@+5g^A$JjRlSj@)>eNS!+vE`4o-W4Tt;HDYr!?4X32Wpm3Ue7(rVZicml2V
z8;;q-2*ekS`02SiOo}jS>7;$6GgF=UjIZFrKbPk#x8WU?OKG`LS_}?KWLu6Bvi2LU
z9GN(-=KIh`12vmTIXmY5jZ@iN0amV=FlPYs9HnC2HClv%W-vw(xjo-{S05}N8Q$wM
zHIWZ)%uIbhu6KU97TlpWtK2%FQdgFxq@*PIA}0rtY^$8wNp*5@!D}oJ<JbqaVFCgI
zd~$^(){!Fb(e!DxCN5O1Z?2n(qt%$Eg*561%IfNBjpJwg73uOJa$s_>A*NDEf>l=2
zjeW=I`WcS#<6zB}*b`=gXw?<T#?MM+b7zq4K98-Ge&E5pK=O-gAoPOX8cXL6DF$!7
z)rco!Gp=I3lIUvZx8*n+iUi>G&fS{dFktRm+711_+()C)PGJJfFicL;t=8wAGx?b5
zOf-JbXZ58mNwdp?J~ci*4wcuP%0zE9L|$nhLnP6WVA{(kFLkRs;tU*<AO~L#U@N9}
zMu|y|Ed+Da*TNfI5S69nZPKTncPPV0rk3TNh#jJfGoDNeelRUO&A7LU(S%-^q@bu(
zuc0g2lH17mlC>#ZWJKbxR=z5q*L|v$;YNi9t2iVinapeKnSl9qjfO32rWVvP!v%ZN
z7-;Z~nk5M|hOUH4)^U2-y!9UhaOk-#<YcNGm7RZmAB|HWcf)}(ajR8C8ICcKkdPqI
zNIm|3ewki1W67JwCjz5lx_X-9MFR`G7dMUsigS9&fw4#7b!g^t)BT>BF^c@RjXmTF
zpbZ@JK1@AquJ&6P;3FqaRz}O}!MfJY8QSbVS%;Jaw*P$ZK237$YK-24>%;eR=OFJr
zJal=v?mu>zYdkT_Joo+L>InQn0JQV^<yP~YYrY<zkx#I4M!30Sq21M!TsV^ixp4lC
zkojZLJII^e5&2Q{WXyZ#Us#*#bR<Tv55^d?QS!H`8o?p@198j=pLZL>?|g@1313dZ
zF{!@qM$^9Z%u%2Nn=4@r9|CXPUi<!~f}mUV3SeSZ*#8ML-B6w&UQcaeZ|MyYI2i8;
zBSr|AD@4KT2BVf9-D<tzfU1n5_jsoZA?PPZImd;!Arc^qolY%n8GZxj+R+aZP-BW3
z{2QW=VYBV>-YDi~b+$T%`467|K$QG-7fF)4aH{|pmDjZ{AG)+RiVX_QFa2`T%x<l}
z2%PwE0d9EFcEd6KCDamoevrJnZdrt!KyR6XT|bw%qzp~cPNjB^;jLyUP{w)%SEexv
zqeq_Y*zY8s&|(rxAQ8$w+hA-@KF?Ol!^^Uq934C4A}XSor`WEWu%b&j_)Gnw8zHbj
zXT-d&_+OG8WQE0c11gIXVQFUpyIY3Fg03HX((5Zy7d0Fgp-Z2|RBtiEm)J4fX2un5
z^6?w`)V?2l@M0jljPgheoZi_AEIy9O2?7pqHga<f3X)-_bUIyw%H9Q^EVe5_q@$eS
z7)crl23?Tq#+F(ak6U8g$G?o-b2}OsRnh(AM#L`0d=}CZFq?<Nd+U<HMKYNT1A&#S
zA)Zj<>A=v1)4Q?Fk@F(fh$P<^FBjC|nD9pQ)`)~wz*P&(w2gN<#~ITNvI5mtRchp<
zFe|p{FNZwd5a8Q!s<|$^Vj38wQQT%`cb3Hu^bSsZll#jcPkmmk?vVH1qOP~G1hUPH
z7+y(chgM@q`MKnM6EIb9Ki0=+=PQnmC!GnA4YQf7#|1W+FifP}LI!xRIVJ~X5g#9K
zl7)nthvAR`xgez692lZ8v=Y|gnCXWFQ4DIzYRgs@$!6;#3-}bruH<&j!;QG5iV?q*
zb6J+M3!gBSi>pUeqZAhS98#RGI5>ocw(<xro(kJ5k<e0KrG&Qb_l8q3&$Q<_^9=~f
zYM7{<z5Ui9->7$v6!T(RQ&xz{vhLh?J_W_9F&Ye1Gk!eT`Zh$Z%+s7p<Ce5(;E6`e
z)NN*&5o?l7RSM&0-}ytnWwn|p@2$xQZ<{k`=>j7^tPltyxfZ!6O&=x=`Tz5$`X@~J
WxO`0fH@jYLr{PAHhGqJ$_x=MJg!;b#

diff --git a/articles/cross_loadings_strong_priors.html b/articles/cross_loadings_strong_priors.html
index 43cea6d9..12244d89 100644
--- a/articles/cross_loadings_strong_priors.html
+++ b/articles/cross_loadings_strong_priors.html
@@ -26,7 +26,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -146,7 +146,7 @@ <h3 id="cross-loadings">Cross-loadings<a class="anchor" aria-label="anchor" href
 correlations, intercepts and variances.</p>
 <div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">fit_df</span><span class="op">)</span></span></code></pre></div>
-<pre><code><span><span class="co">## blavaan 0.5.2.1205 ended normally after 1000 iterations</span></span>
+<pre><code><span><span class="co">## blavaan 0.5.2.1207 ended normally after 1000 iterations</span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">##   Estimator                                      BAYES</span></span>
 <span><span class="co">##   Optimization method                             MCMC</span></span>
@@ -155,7 +155,7 @@ <h3 id="cross-loadings">Cross-loadings<a class="anchor" aria-label="anchor" href
 <span><span class="co">##   Number of observations                           301</span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">##   Statistic                                 MargLogLik         PPP</span></span>
-<span><span class="co">##   Value                                      -3870.984       0.000</span></span>
+<span><span class="co">##   Value                                      -3870.899       0.000</span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## Parameter Estimates:</span></span>
 <span><span class="co">## </span></span>
@@ -163,52 +163,52 @@ <h3 id="cross-loadings">Cross-loadings<a class="anchor" aria-label="anchor" href
 <span><span class="co">## Latent Variables:</span></span>
 <span><span class="co">##                    Estimate  Post.SD pi.lower pi.upper     Rhat    Prior       </span></span>
 <span><span class="co">##   visual =~                                                                    </span></span>
-<span><span class="co">##     x1                0.911    0.089    0.741    1.084    1.000    normal(0,10)</span></span>
-<span><span class="co">##     x2                0.500    0.082    0.344    0.665    1.000    normal(0,10)</span></span>
-<span><span class="co">##     x3                0.662    0.079    0.509    0.816    1.001    normal(0,10)</span></span>
+<span><span class="co">##     x1                0.910    0.089    0.742    1.095    1.001    normal(0,10)</span></span>
+<span><span class="co">##     x2                0.501    0.084    0.339    0.666    1.001    normal(0,10)</span></span>
+<span><span class="co">##     x3                0.661    0.083    0.501    0.817    1.000    normal(0,10)</span></span>
 <span><span class="co">##   textual =~                                                                   </span></span>
-<span><span class="co">##     x4                1.000    0.058    0.887    1.119    1.000    normal(0,10)</span></span>
-<span><span class="co">##     x5                1.113    0.065    0.989    1.241    0.999    normal(0,10)</span></span>
-<span><span class="co">##     x6                0.927    0.056    0.821    1.041    1.000    normal(0,10)</span></span>
+<span><span class="co">##     x4                1.002    0.058    0.896    1.121    0.999    normal(0,10)</span></span>
+<span><span class="co">##     x5                1.114    0.063    0.995    1.238    1.000    normal(0,10)</span></span>
+<span><span class="co">##     x6                0.926    0.055    0.823    1.037    1.000    normal(0,10)</span></span>
 <span><span class="co">##   speed =~                                                                     </span></span>
-<span><span class="co">##     x7                0.619    0.077    0.465    0.771    0.999    normal(0,10)</span></span>
-<span><span class="co">##     x8                0.736    0.079    0.581    0.890    1.001    normal(0,10)</span></span>
-<span><span class="co">##     x9                0.680    0.080    0.528    0.837    1.001    normal(0,10)</span></span>
+<span><span class="co">##     x7                0.614    0.075    0.462    0.759    0.999    normal(0,10)</span></span>
+<span><span class="co">##     x8                0.732    0.079    0.577    0.887    1.002    normal(0,10)</span></span>
+<span><span class="co">##     x9                0.680    0.080    0.530    0.837    1.002    normal(0,10)</span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## Covariances:</span></span>
 <span><span class="co">##                    Estimate  Post.SD pi.lower pi.upper     Rhat    Prior       </span></span>
 <span><span class="co">##   visual ~~                                                                    </span></span>
-<span><span class="co">##     textual           0.448    0.065    0.313    0.570    0.999     lkj_corr(1)</span></span>
-<span><span class="co">##     speed             0.460    0.084    0.290    0.621    1.000     lkj_corr(1)</span></span>
+<span><span class="co">##     textual           0.449    0.065    0.313    0.569    1.000     lkj_corr(1)</span></span>
+<span><span class="co">##     speed             0.462    0.083    0.298    0.621    1.000     lkj_corr(1)</span></span>
 <span><span class="co">##   textual ~~                                                                   </span></span>
-<span><span class="co">##     speed             0.277    0.070    0.131    0.408    0.999     lkj_corr(1)</span></span>
+<span><span class="co">##     speed             0.280    0.072    0.131    0.416    0.999     lkj_corr(1)</span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## Intercepts:</span></span>
 <span><span class="co">##                    Estimate  Post.SD pi.lower pi.upper     Rhat    Prior       </span></span>
-<span><span class="co">##    .x1                4.935    0.068    4.801    5.070    1.000    normal(0,32)</span></span>
-<span><span class="co">##    .x2                6.086    0.067    5.957    6.221    1.000    normal(0,32)</span></span>
-<span><span class="co">##    .x3                2.250    0.067    2.119    2.382    1.000    normal(0,32)</span></span>
-<span><span class="co">##    .x4                3.059    0.069    2.925    3.190    0.999    normal(0,32)</span></span>
-<span><span class="co">##    .x5                4.340    0.076    4.193    4.490    0.999    normal(0,32)</span></span>
-<span><span class="co">##    .x6                2.184    0.064    2.055    2.307    1.000    normal(0,32)</span></span>
-<span><span class="co">##    .x7                4.184    0.063    4.061    4.306    1.000    normal(0,32)</span></span>
-<span><span class="co">##    .x8                5.527    0.058    5.413    5.636    1.000    normal(0,32)</span></span>
-<span><span class="co">##    .x9                5.373    0.057    5.258    5.487    1.000    normal(0,32)</span></span>
+<span><span class="co">##    .x1                4.935    0.067    4.806    5.067    1.000    normal(0,32)</span></span>
+<span><span class="co">##    .x2                6.086    0.067    5.954    6.217    1.000    normal(0,32)</span></span>
+<span><span class="co">##    .x3                2.251    0.065    2.121    2.381    1.000    normal(0,32)</span></span>
+<span><span class="co">##    .x4                3.061    0.068    2.927    3.192    1.000    normal(0,32)</span></span>
+<span><span class="co">##    .x5                4.340    0.075    4.192    4.491    1.000    normal(0,32)</span></span>
+<span><span class="co">##    .x6                2.186    0.065    2.059    2.316    1.000    normal(0,32)</span></span>
+<span><span class="co">##    .x7                4.185    0.063    4.062    4.311    1.000    normal(0,32)</span></span>
+<span><span class="co">##    .x8                5.527    0.059    5.409    5.641    1.001    normal(0,32)</span></span>
+<span><span class="co">##    .x9                5.374    0.058    5.259    5.488    1.000    normal(0,32)</span></span>
 <span><span class="co">##     visual            0.000                                                    </span></span>
 <span><span class="co">##     textual           0.000                                                    </span></span>
 <span><span class="co">##     speed             0.000                                                    </span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## Variances:</span></span>
 <span><span class="co">##                    Estimate  Post.SD pi.lower pi.upper     Rhat    Prior       </span></span>
-<span><span class="co">##    .x1                0.555    0.127    0.284    0.799    1.001 gamma(1,.5)[sd]</span></span>
-<span><span class="co">##    .x2                1.153    0.104    0.964    1.366    0.999 gamma(1,.5)[sd]</span></span>
-<span><span class="co">##    .x3                0.859    0.099    0.674    1.054    1.000 gamma(1,.5)[sd]</span></span>
-<span><span class="co">##    .x4                0.380    0.050    0.286    0.482    1.000 gamma(1,.5)[sd]</span></span>
-<span><span class="co">##    .x5                0.454    0.060    0.341    0.577    0.999 gamma(1,.5)[sd]</span></span>
-<span><span class="co">##    .x6                0.364    0.045    0.283    0.460    1.001 gamma(1,.5)[sd]</span></span>
-<span><span class="co">##    .x7                0.820    0.092    0.650    1.019    0.999 gamma(1,.5)[sd]</span></span>
-<span><span class="co">##    .x8                0.497    0.095    0.314    0.687    1.000 gamma(1,.5)[sd]</span></span>
-<span><span class="co">##    .x9                0.570    0.094    0.375    0.745    1.000 gamma(1,.5)[sd]</span></span>
+<span><span class="co">##    .x1                0.554    0.131    0.273    0.804    1.000 gamma(1,.5)[sd]</span></span>
+<span><span class="co">##    .x2                1.152    0.109    0.955    1.377    1.000 gamma(1,.5)[sd]</span></span>
+<span><span class="co">##    .x3                0.859    0.102    0.671    1.074    1.000 gamma(1,.5)[sd]</span></span>
+<span><span class="co">##    .x4                0.379    0.050    0.286    0.479    1.001 gamma(1,.5)[sd]</span></span>
+<span><span class="co">##    .x5                0.454    0.060    0.343    0.580    0.999 gamma(1,.5)[sd]</span></span>
+<span><span class="co">##    .x6                0.363    0.045    0.279    0.456    1.000 gamma(1,.5)[sd]</span></span>
+<span><span class="co">##    .x7                0.822    0.091    0.655    1.012    0.999 gamma(1,.5)[sd]</span></span>
+<span><span class="co">##    .x8                0.503    0.097    0.321    0.693    1.000 gamma(1,.5)[sd]</span></span>
+<span><span class="co">##    .x9                0.567    0.099    0.361    0.752    1.001 gamma(1,.5)[sd]</span></span>
 <span><span class="co">##     visual            1.000                                                    </span></span>
 <span><span class="co">##     textual           1.000                                                    </span></span>
 <span><span class="co">##     speed             1.000</span></span></code></pre>
@@ -234,7 +234,7 @@ <h3 id="cross-loadings">Cross-loadings<a class="anchor" aria-label="anchor" href
 credible interval.</p>
 <div class="sourceCode" id="cb5"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">fit_cl</span><span class="op">)</span></span></code></pre></div>
-<pre><code><span><span class="co">## blavaan 0.5.2.1205 ended normally after 1000 iterations</span></span>
+<pre><code><span><span class="co">## blavaan 0.5.2.1207 ended normally after 1000 iterations</span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">##   Estimator                                      BAYES</span></span>
 <span><span class="co">##   Optimization method                             MCMC</span></span>
diff --git a/articles/estimate.html b/articles/estimate.html
index a4ad832b..62e7f0e6 100644
--- a/articles/estimate.html
+++ b/articles/estimate.html
@@ -26,7 +26,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/articles/index.html b/articles/index.html
index 20bbe156..8e86a998 100644
--- a/articles/index.html
+++ b/articles/index.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/articles/invariance.html b/articles/invariance.html
index 30453d17..073b32a1 100644
--- a/articles/invariance.html
+++ b/articles/invariance.html
@@ -26,7 +26,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/articles/mod_indices.html b/articles/mod_indices.html
index 26b2c80d..ec5257dd 100644
--- a/articles/mod_indices.html
+++ b/articles/mod_indices.html
@@ -26,7 +26,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -183,17 +183,17 @@ <h3 id="modification-indices">Modification Indices<a class="anchor" aria-label="
 <span><span class="co">## </span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">##               EAP Median    MAP     SD  lower  upper PPP_sim_GreaterThan_obs</span></span>
-<span><span class="co">## visual=~x9 35.353 35.458 35.495 10.624 17.727 52.239                   0.014</span></span>
-<span><span class="co">## x7~~x8     32.891 35.539 39.626 14.716  4.604 52.733                   0.079</span></span>
-<span><span class="co">## x8~~x9     27.117 12.160  2.726 42.978  0.000 70.495                   0.316</span></span>
-<span><span class="co">## x4~~x6     19.784  7.015  1.388 36.713  0.000 52.503                   0.447</span></span>
-<span><span class="co">## visual=~x7 18.162 16.144 12.432  9.849  4.183 33.098                   0.015</span></span>
+<span><span class="co">## visual=~x9 35.353 35.458 35.495 10.624 17.727 52.239                   0.009</span></span>
+<span><span class="co">## x7~~x8     32.891 35.539 39.626 14.716  4.604 52.733                   0.087</span></span>
+<span><span class="co">## x8~~x9     27.117 12.160  2.726 42.978  0.000 70.495                   0.322</span></span>
+<span><span class="co">## x4~~x6     19.784  7.015  1.388 36.713  0.000 52.503                   0.457</span></span>
+<span><span class="co">## visual=~x7 18.162 16.144 12.432  9.849  4.183 33.098                   0.011</span></span>
 <span><span class="co">##            PPP_sim_LessThan_obs</span></span>
-<span><span class="co">## visual=~x9                0.986</span></span>
-<span><span class="co">## x7~~x8                    0.921</span></span>
-<span><span class="co">## x8~~x9                    0.684</span></span>
-<span><span class="co">## x4~~x6                    0.553</span></span>
-<span><span class="co">## visual=~x7                0.985</span></span></code></pre>
+<span><span class="co">## visual=~x9                0.991</span></span>
+<span><span class="co">## x7~~x8                    0.913</span></span>
+<span><span class="co">## x8~~x9                    0.678</span></span>
+<span><span class="co">## x4~~x6                    0.543</span></span>
+<span><span class="co">## visual=~x7                0.989</span></span></code></pre>
 <p>But according to the posterior median, the parameter that would have
 the highest impact would be the residual correlation between indicators
 <strong>x7</strong> and <strong>x8</strong></p>
@@ -204,17 +204,17 @@ <h3 id="modification-indices">Modification Indices<a class="anchor" aria-label="
 <span><span class="co">## </span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">##                EAP Median    MAP     SD  lower  upper PPP_sim_GreaterThan_obs</span></span>
-<span><span class="co">## x7~~x8      32.891 35.539 39.626 14.716  4.604 52.733                   0.079</span></span>
-<span><span class="co">## visual=~x9  35.353 35.458 35.495 10.624 17.727 52.239                   0.014</span></span>
-<span><span class="co">## visual=~x7  18.162 16.144 12.432  9.849  4.183 33.098                   0.015</span></span>
-<span><span class="co">## x8~~x9      27.117 12.160  2.726 42.978  0.000 70.495                   0.316</span></span>
-<span><span class="co">## textual=~x1 11.011  9.976  5.705  8.318  0.000 22.179                   0.215</span></span>
+<span><span class="co">## x7~~x8      32.891 35.539 39.626 14.716  4.604 52.733                   0.087</span></span>
+<span><span class="co">## visual=~x9  35.353 35.458 35.495 10.624 17.727 52.239                   0.009</span></span>
+<span><span class="co">## visual=~x7  18.162 16.144 12.432  9.849  4.183 33.098                   0.011</span></span>
+<span><span class="co">## x8~~x9      27.117 12.160  2.726 42.978  0.000 70.495                   0.322</span></span>
+<span><span class="co">## textual=~x1 11.011  9.976  5.705  8.318  0.000 22.179                   0.223</span></span>
 <span><span class="co">##             PPP_sim_LessThan_obs</span></span>
-<span><span class="co">## x7~~x8                     0.921</span></span>
-<span><span class="co">## visual=~x9                 0.986</span></span>
-<span><span class="co">## visual=~x7                 0.985</span></span>
-<span><span class="co">## x8~~x9                     0.684</span></span>
-<span><span class="co">## textual=~x1                0.785</span></span></code></pre>
+<span><span class="co">## x7~~x8                     0.913</span></span>
+<span><span class="co">## visual=~x9                 0.991</span></span>
+<span><span class="co">## visual=~x7                 0.989</span></span>
+<span><span class="co">## x8~~x9                     0.678</span></span>
+<span><span class="co">## textual=~x1                0.777</span></span></code></pre>
 <p>The MI is still recommended as the best metric to indicate which
 parameter is best to include next, and we can use the SEPC to evaluate
 the <strong>likely</strong> effect size for the respective
@@ -226,17 +226,17 @@ <h3 id="modification-indices">Modification Indices<a class="anchor" aria-label="
 <span><span class="co">## </span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">##               EAP Median   MAP    SD lower upper PPP_sim_GreaterThan_obs</span></span>
-<span><span class="co">## x7~~x8      0.799  0.790 0.742 0.383 0.487 1.274                   0.045</span></span>
-<span><span class="co">## visual=~x9  0.519  0.494 0.466 0.132 0.334 0.688                   0.008</span></span>
-<span><span class="co">## textual=~x1 0.272  0.298 0.314 0.175 0.036 0.513                   0.124</span></span>
+<span><span class="co">## x7~~x8      0.799  0.790 0.742 0.383 0.487 1.274                   0.050</span></span>
+<span><span class="co">## visual=~x9  0.519  0.494 0.466 0.132 0.334 0.688                   0.005</span></span>
+<span><span class="co">## textual=~x1 0.272  0.298 0.314 0.175 0.036 0.513                   0.139</span></span>
 <span><span class="co">## x1~~x9      0.247  0.247 0.248 0.037 0.198 0.299                   0.018</span></span>
-<span><span class="co">## x2~~x3      0.223  0.223 0.219 0.037 0.171 0.282                   0.015</span></span>
+<span><span class="co">## x2~~x3      0.223  0.223 0.219 0.037 0.171 0.282                   0.022</span></span>
 <span><span class="co">##             PPP_sim_LessThan_obs</span></span>
-<span><span class="co">## x7~~x8                     0.955</span></span>
-<span><span class="co">## visual=~x9                 0.992</span></span>
-<span><span class="co">## textual=~x1                0.876</span></span>
+<span><span class="co">## x7~~x8                     0.950</span></span>
+<span><span class="co">## visual=~x9                 0.995</span></span>
+<span><span class="co">## textual=~x1                0.861</span></span>
 <span><span class="co">## x1~~x9                     0.982</span></span>
-<span><span class="co">## x2~~x3                     0.985</span></span></code></pre>
+<span><span class="co">## x2~~x3                     0.978</span></span></code></pre>
 <p>Here we see that for the 2 highest parameters, the likely SEPC is
 x7~~x8 = 0.799229902211115 and visual=~x9 = 0.518551878229323. With this
 information we can decide to include one of these new parameters in the
diff --git a/articles/model_comparison.html b/articles/model_comparison.html
index 067a3bff..63e91cb4 100644
--- a/articles/model_comparison.html
+++ b/articles/model_comparison.html
@@ -26,7 +26,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -255,45 +255,45 @@ <h3 id="model-comparison">Model comparison<a class="anchor" aria-label="anchor"
 <span><span class="co">## $loo</span></span>
 <span><span class="co">## $loo[[1]]</span></span>
 <span><span class="co">##             Estimate        SE</span></span>
-<span><span class="co">## elpd_loo -1605.98527 19.536493</span></span>
-<span><span class="co">## p_loo       37.44917  2.909146</span></span>
-<span><span class="co">## looic     3211.97053 39.072986</span></span>
+<span><span class="co">## elpd_loo -1606.38004 19.551291</span></span>
+<span><span class="co">## p_loo       37.79584  2.944453</span></span>
+<span><span class="co">## looic     3212.76009 39.102582</span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## $loo[[2]]</span></span>
 <span><span class="co">##             Estimate        SE</span></span>
-<span><span class="co">## elpd_loo -1647.26511 18.903569</span></span>
-<span><span class="co">## p_loo       34.95449  2.762597</span></span>
-<span><span class="co">## looic     3294.53022 37.807138</span></span>
+<span><span class="co">## elpd_loo -1647.17715 18.889934</span></span>
+<span><span class="co">## p_loo       34.77325  2.728098</span></span>
+<span><span class="co">## looic     3294.35430 37.779868</span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## $diff_loo</span></span>
 <span><span class="co">##  elpd_diff    se_diff </span></span>
-<span><span class="co">## -41.279842   7.929763 </span></span>
+<span><span class="co">## -40.797106   7.952163 </span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## $waic</span></span>
 <span><span class="co">## $waic[[1]]</span></span>
 <span><span class="co">##              Estimate        SE</span></span>
-<span><span class="co">## elpd_waic -1605.71645 19.495760</span></span>
-<span><span class="co">## p_waic       37.18036  2.859764</span></span>
-<span><span class="co">## waic       3211.43290 38.991519</span></span>
+<span><span class="co">## elpd_waic -1606.06147 19.510147</span></span>
+<span><span class="co">## p_waic       37.47727  2.902579</span></span>
+<span><span class="co">## waic       3212.12294 39.020294</span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## $waic[[2]]</span></span>
 <span><span class="co">##              Estimate        SE</span></span>
-<span><span class="co">## elpd_waic -1646.93028 18.855412</span></span>
-<span><span class="co">## p_waic       34.61966  2.701547</span></span>
-<span><span class="co">## waic       3293.86057 37.710823</span></span>
+<span><span class="co">## elpd_waic -1646.81151 18.829992</span></span>
+<span><span class="co">## p_waic       34.40762  2.651436</span></span>
+<span><span class="co">## waic       3293.62303 37.659985</span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## $diff_waic</span></span>
 <span><span class="co">##  elpd_diff    se_diff </span></span>
-<span><span class="co">## -41.213833   7.934142</span></span></code></pre>
+<span><span class="co">## -40.750042   7.943992</span></span></code></pre>
 <p>In this case we can see that model 1 has lower LOOIC, and the ratio
 shows that the LOO differences is 5 SE of magnitude. This indicates that
 the model with the estimated regressions is better</p>
 <div class="sourceCode" id="cb6"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/MathFun.html" class="external-link">abs</a></span><span class="op">(</span><span class="va">bc12</span><span class="op">$</span><span class="va">diff_loo</span><span class="op">[</span><span class="fl">1</span><span class="op">]</span> <span class="op">/</span> <span class="va">bc12</span><span class="op">$</span><span class="va">diff_loo</span><span class="op">[</span><span class="fl">2</span><span class="op">]</span><span class="op">)</span></span></code></pre></div>
 <pre><code><span><span class="co">## elpd_diff </span></span>
-<span><span class="co">##  5.205684</span></span></code></pre>
+<span><span class="co">##  5.130315</span></span></code></pre>
 <p>Now, lets look at an example with a smaller difference between
 models, where only the smallest regression (<code>dem65~ind60</code>) is
 fixed to 0.</p>
@@ -334,42 +334,42 @@ <h3 id="model-comparison">Model comparison<a class="anchor" aria-label="anchor"
 <span><span class="co">## $loo</span></span>
 <span><span class="co">## $loo[[1]]</span></span>
 <span><span class="co">##             Estimate        SE</span></span>
-<span><span class="co">## elpd_loo -1605.98527 19.536493</span></span>
-<span><span class="co">## p_loo       37.44917  2.909146</span></span>
-<span><span class="co">## looic     3211.97053 39.072986</span></span>
+<span><span class="co">## elpd_loo -1606.38004 19.551291</span></span>
+<span><span class="co">## p_loo       37.79584  2.944453</span></span>
+<span><span class="co">## looic     3212.76009 39.102582</span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## $loo[[2]]</span></span>
 <span><span class="co">##             Estimate        SE</span></span>
-<span><span class="co">## elpd_loo -1606.11048 19.433361</span></span>
-<span><span class="co">## p_loo       37.06705  2.878051</span></span>
-<span><span class="co">## looic     3212.22095 38.866721</span></span>
+<span><span class="co">## elpd_loo -1606.13047 19.427593</span></span>
+<span><span class="co">## p_loo       37.03577  2.840297</span></span>
+<span><span class="co">## looic     3212.26095 38.855185</span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## $diff_loo</span></span>
 <span><span class="co">##  elpd_diff    se_diff </span></span>
-<span><span class="co">## -0.1252094  0.9510588 </span></span>
+<span><span class="co">## -0.2495708  0.9128296 </span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## $waic</span></span>
 <span><span class="co">## $waic[[1]]</span></span>
 <span><span class="co">##              Estimate        SE</span></span>
-<span><span class="co">## elpd_waic -1605.71645 19.495760</span></span>
-<span><span class="co">## p_waic       37.18036  2.859764</span></span>
-<span><span class="co">## waic       3211.43290 38.991519</span></span>
+<span><span class="co">## elpd_waic -1606.06147 19.510147</span></span>
+<span><span class="co">## p_waic       37.47727  2.902579</span></span>
+<span><span class="co">## waic       3212.12294 39.020294</span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## $waic[[2]]</span></span>
 <span><span class="co">##              Estimate        SE</span></span>
-<span><span class="co">## elpd_waic -1605.79055 19.391122</span></span>
-<span><span class="co">## p_waic       36.74713  2.818093</span></span>
-<span><span class="co">## waic       3211.58111 38.782244</span></span>
+<span><span class="co">## elpd_waic -1605.96334 19.420647</span></span>
+<span><span class="co">## p_waic       36.86864  2.834549</span></span>
+<span><span class="co">## waic       3211.92669 38.841293</span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## $diff_waic</span></span>
 <span><span class="co">##   elpd_diff     se_diff </span></span>
-<span><span class="co">## -0.07410337  0.93308009</span></span></code></pre>
+<span><span class="co">## -0.09812816  0.92847245</span></span></code></pre>
 <div class="sourceCode" id="cb11"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/MathFun.html" class="external-link">abs</a></span><span class="op">(</span><span class="va">bc13</span><span class="op">$</span><span class="va">diff_loo</span><span class="op">[</span><span class="fl">1</span><span class="op">]</span> <span class="op">/</span> <span class="va">bc13</span><span class="op">$</span><span class="va">diff_loo</span><span class="op">[</span><span class="fl">2</span><span class="op">]</span><span class="op">)</span></span></code></pre></div>
 <pre><code><span><span class="co">## elpd_diff </span></span>
-<span><span class="co">## 0.1316526</span></span></code></pre>
+<span><span class="co">## 0.2734035</span></span></code></pre>
 <p>Lets do one last model, where only the largest regression
 (<code>dem65~dem60</code>) is fixed to 0.</p>
 <div class="sourceCode" id="cb13"><pre class="downlit sourceCode r">
@@ -408,42 +408,42 @@ <h3 id="model-comparison">Model comparison<a class="anchor" aria-label="anchor"
 <span><span class="co">## $loo</span></span>
 <span><span class="co">## $loo[[1]]</span></span>
 <span><span class="co">##             Estimate        SE</span></span>
-<span><span class="co">## elpd_loo -1605.98527 19.536493</span></span>
-<span><span class="co">## p_loo       37.44917  2.909146</span></span>
-<span><span class="co">## looic     3211.97053 39.072986</span></span>
+<span><span class="co">## elpd_loo -1606.38004 19.551291</span></span>
+<span><span class="co">## p_loo       37.79584  2.944453</span></span>
+<span><span class="co">## looic     3212.76009 39.102582</span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## $loo[[2]]</span></span>
 <span><span class="co">##             Estimate        SE</span></span>
-<span><span class="co">## elpd_loo -1629.69158 19.878811</span></span>
-<span><span class="co">## p_loo       38.00518  3.008267</span></span>
-<span><span class="co">## looic     3259.38316 39.757622</span></span>
+<span><span class="co">## elpd_loo -1629.06692 19.877890</span></span>
+<span><span class="co">## p_loo       37.54679  2.918891</span></span>
+<span><span class="co">## looic     3258.13385 39.755780</span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## $diff_loo</span></span>
 <span><span class="co">##  elpd_diff    se_diff </span></span>
-<span><span class="co">## -23.706316   4.030688 </span></span>
+<span><span class="co">## -22.686880   4.119425 </span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## $waic</span></span>
 <span><span class="co">## $waic[[1]]</span></span>
 <span><span class="co">##              Estimate        SE</span></span>
-<span><span class="co">## elpd_waic -1605.71645 19.495760</span></span>
-<span><span class="co">## p_waic       37.18036  2.859764</span></span>
-<span><span class="co">## waic       3211.43290 38.991519</span></span>
+<span><span class="co">## elpd_waic -1606.06147 19.510147</span></span>
+<span><span class="co">## p_waic       37.47727  2.902579</span></span>
+<span><span class="co">## waic       3212.12294 39.020294</span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## $waic[[2]]</span></span>
-<span><span class="co">##              Estimate        SE</span></span>
-<span><span class="co">## elpd_waic -1629.33574 19.837380</span></span>
-<span><span class="co">## p_waic       37.64934  2.955757</span></span>
-<span><span class="co">## waic       3258.67148 39.674760</span></span>
+<span><span class="co">##              Estimate       SE</span></span>
+<span><span class="co">## elpd_waic -1628.80026 19.84483</span></span>
+<span><span class="co">## p_waic       37.28012  2.87224</span></span>
+<span><span class="co">## waic       3257.60052 39.68965</span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## $diff_waic</span></span>
 <span><span class="co">##  elpd_diff    se_diff </span></span>
-<span><span class="co">## -23.619290   4.019731</span></span></code></pre>
+<span><span class="co">## -22.738787   4.094202</span></span></code></pre>
 <div class="sourceCode" id="cb16"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/MathFun.html" class="external-link">abs</a></span><span class="op">(</span><span class="va">bc14</span><span class="op">$</span><span class="va">diff_loo</span><span class="op">[</span><span class="fl">1</span><span class="op">]</span> <span class="op">/</span> <span class="va">bc14</span><span class="op">$</span><span class="va">diff_loo</span><span class="op">[</span><span class="fl">2</span><span class="op">]</span><span class="op">)</span></span></code></pre></div>
 <pre><code><span><span class="co">## elpd_diff </span></span>
-<span><span class="co">##  5.881457</span></span></code></pre>
+<span><span class="co">##  5.507293</span></span></code></pre>
 </div>
 <div class="section level3">
 <h3 id="bayes-factor">Bayes factor<a class="anchor" aria-label="anchor" href="#bayes-factor"></a>
diff --git a/articles/multilevel.html b/articles/multilevel.html
index 8024d824..9a38c478 100644
--- a/articles/multilevel.html
+++ b/articles/multilevel.html
@@ -26,7 +26,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/articles/ordinal.html b/articles/ordinal.html
index e21caa24..7a79f094 100644
--- a/articles/ordinal.html
+++ b/articles/ordinal.html
@@ -26,7 +26,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/articles/plotting.html b/articles/plotting.html
index 619c819a..9fd91ef5 100644
--- a/articles/plotting.html
+++ b/articles/plotting.html
@@ -26,7 +26,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/articles/prior.html b/articles/prior.html
index 618f4981..2a7bc062 100644
--- a/articles/prior.html
+++ b/articles/prior.html
@@ -26,7 +26,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/articles/prior_pred_checks.html b/articles/prior_pred_checks.html
index 75c3c5c7..c2860dd4 100644
--- a/articles/prior_pred_checks.html
+++ b/articles/prior_pred_checks.html
@@ -26,7 +26,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/articles/prior_pred_checks_files/figure-html/unnamed-chunk-4-1.png b/articles/prior_pred_checks_files/figure-html/unnamed-chunk-4-1.png
index 3e03fac75cefb5e7c37845b0d3d9733681f66a48..4c66603847da7e3cb2ebf736687d37fee3299ecf 100644
GIT binary patch
literal 84617
zcmeEs^;^_k^z8rwN{WJX51@2N3IZ}n3P^WIGt%89-AH!`NO!kLhtkqWN;gAu5AVI-
z|KQ%=?mQ3AP@g&H>{xs4wNHqGoCG!o2?hiL!IqMQDMBEqE)WQc!DBS=8y)0vUGRqX
zNk#$&-ofiqtl1m9J+YD0u!lg%gC4$+qSlX$ArLBv6iigvC2e=X)k9m&_5SErqw|Zs
zYaVAKtpsDO#p$0KyFWD|o<EZm)t9l8REmv$T2~dvO@Q>{+2fl}GF7CpB0N-adC?U$
z?eC;9+uuo<YhcjPlTP(TrYA8+TJ|?>B6^4V3~6O_zcq4=A#U9+*BhNTA}KVE1rcu%
zX`4R5|Nr%W(*k{QCVn^~Mn&eIKbIVPdT)MgK9GSvQ$v3i9UR;T&DCb2q2a8IgNxhA
zy!;1&aT5JHsY6O6GGyJ`*||Q*LP>f2#%b3DCm7<Afgo6R>>;|<6O^k||D4XTL6K!=
zW@ffurqi79Sb!ccMleU4$veNYvhp|LcD=)5`Lp2=GQ1QW3#q++>g`I?zM9kSpChgg
zG?J2F$$h1=c)ae_Ba0=3Jc=r*p(+xlkMuI?GH*{(5IP##{!*(uVl==$hJ#-eoho+f
z&!2xt(-2$u-mqxzS30lXNNZs|Jv|MZuEOj+9=P98ewe-R3+{XJu`E93qHPKNhSVmE
zW5ZzDQH}mtNDhqV<9?G>Do1`d;?^4>crXecEy`LY!0R_2sO5~ky1Fuf?@<^IIY)4)
zsl%5D!@5nN;4xoc-xu&b@TcLwHVsQBEzYRq<!h7#E_9~5e=2E_JcwO7iB3YYR%7NX
z^gI26H(hxz+uFM{;gDOa;NUdqx+ZbgRa;w|rM&R%sctN-W6<42ukampjARSO#oLM@
z&1*^~)sn~Pr1`)aie>Q}f|zMjOH21B5|o|}Pb=KdcU>#n+wVyuSJN`xhD(9Tb$mFa
zDaH<6`{{UMBtK&bJnm<4N9?zvx!@jd-`(9=19QrhPVOq;#eDsy&D2{Z6eD@F%8^kW
zx!Tf;xOJSG-AI4qtcxU=G`tLh9S7T$hHvD<XpW90<-vhg3o<raAIBkE)4AHKtTmWD
zDi2<3%EZFK;Q_Yr7V*4?!C>@XYR{Q+g}e`!JA1iwi$99f(9ke+B5oymT>2@I!a2C;
z-;yNDzV=gt*=f?mT!{bX0D&xP5(4`))YeqUBL)85?wQlx>=~b7IrS>U9;u|3q?L&Q
zhN{c2Qnu-OE#dZq=wuPtY;J5WW7F~LXP(S0%n;a$=C70U812_gmTELHNjziMJs@u2
zdy^dmP_=X{B=3r;JE9ATUR$q;>1o90tFwrR2-_t@CLd!R9Qd{^X;HUAU)1Pev6U_2
z#r^1#u9#St;I!lPWt(?4hY4~2BwHrx-MHrUq}l7MNrp_1;|`9<%n89?JIIUPr(W>A
zsO#(NUox#5tXU`D6K~jKB+ZnggZpCQ;PLQ#**bem=ri;FKV*(I<-w8^18!vj&j;%V
zYCHQ(+9J9?ks=YgbUH3XrECA>RN0bi2@fOYGWm&yj{Y1nH9LKdKzQ$|mq+xjA~fL-
zp?XQiy}o$TQV*#|dGkC3w)@Y}u<{RoPZA|EE-p59tL1c=jy#H&r>AG>PSXK&rZ^tN
zXqAxrd5g>GQN|`Y&86?98n9QH;ZFoQ+>+~XAGmibMt9Y9vDnud!ln+_BaC=|zuwP~
zDX6Zbr1UHV#){Gg+2!p?n*yf0HoVmWSx%?#&$02~1ttlXkR!o^<;qB5-Kp7#+*?_C
zY33I@>^<{|p$4Ab-uDR3OzZzp<vyw>$@%>3%u*-=5#GC6UNhxIst>S1bzAOxaNoBA
z?PBdWu_1l6y%z$M+&vx;7n&H!Atao1%{3aDMh30M7ji61jMFAdk2bWXPXwdZKKSDj
z8@AzSr@GSWthszgFAonZ$Z#vlR7SBe99p8-aa2)JF`k;0GaL#cYRoM1E-_3^Nx=x`
zxPQdw@9)3Y?6l{GOoY7qfJ{=*XWoXTt)}4$QI~h-Q?nd;UpM$hx^Hi9m*f{lYaY^!
zBSuni`T9;=B)RsS0rLfOFxkO1x!8sBJzwPWzWXzfTIfDOAiTYoCMJ|)j%toP@0q4%
zGta<zF=^i7#dzfWcfQYSvo3<Vmf@~!J_px{*(+tivWhc(wd|~ys*OB@J#UtHcz9UP
z1+8DIlz5Xgj1Y|jn@{Jjl%-+SnnfR-e$*$gcu5iUi+Br1&%nT-xz?$oqT+Cl;c5c~
z1?9x|amW5bvxK(em}YY~5!V=bS4f3nZzQ=e`Bn(X>bsY<SH@?Ht?tvvy_)fE%m5&a
z48OIKM)m3$lzO7rQ0RwqEP;KK2H}uj6)ZG6w>y-e2>sHsDlOeRIG`+)h!(P07I7C9
z?ZnA)(AQr+@C}3PxGw4;7wb$%<aUq4V3CP-mZ5fg6(J+F)bPD7s6=S1+vZ4mJAXd{
z53ir_c?z6*^LWo_pf;M}(g|#=9h$5~{_CWuq*e`raL=fpL)=C_Y;^F6*Ai#9`J?ji
zR1loc^>KY_&-Z9sepXI-5nb$_@6E}(xCO5Ab>)f+{&K&SET3t#-}Ht)d%`sqH+mE&
z32o!oWTT6v+}?WbyZ)Sbu<%&WT0@ZHzP0w8It%+dQc-DbYB+};ZcrCn&!<W@w+v?|
zOH0cq9iaqFKQcCJ!O!T2-&gsJd)@9gGu-!44Tp*qQwe{5s^oRc;3aPuw@sUV0K>+R
zI|^|aJ?8o>?aS$WS^YBZjLiki667*D=(Bs9*aKRcSYCR8>392UbNz8}YU`8IOiAeZ
zDFU&?@%r^^+~7BnC!ipZ%B{2-VJP{k^?b#3$fMAEc%@w$2~y~xP9QBXoNR#7dcplW
zan_^bq=nKw!}+73q2XVt9(U;!5YC?})q^%&mrex_Ui~`30o#kdLn(n&OudLYQWfQd
zrf!lhA1l06j+ca{sWZPo+8{PuMBSBI;J>T4;k(J%bggS|_l8`s9KMI|^^%Z~wDHdp
zZh@Mf&9QL+QS`q5Lu9`cN&cpdt8ys=<Y?|g4Cg%QtBu@rMa1kDx@geEG+aZMBw)}b
zS+lZ$`GNYc(CK$~8*>H^={2vJs;j-%wz08stmG-5ETFs`Z>yr9V54_s`x4*Ha>IUV
z78fE6l21N!ZSK15fQ@$Y`4c|O3yCF!US#(t;qdNH=@JY}A!C33G??k@>&qAQUq$&6
zgurqDz{1A7eKJjH6O@cgZ_NPYe+6#8Jsp=nK;6xadMl753H1W0gGdI2-MUnWCEl#A
z0OvZr_S~>+rw4$w@WsE}D4fVMM+{8NC5&B3OCDs}1#CjR7><|IjMEf@d>fk2!@8S%
zoeYOi0hZ#XuU!WRujM@%sg0(+bmCms>>KpBHuYG#x7*Hc_P)Ox?Ah@&K32ljC02_P
zzPmWd*c5`)Xu++~_K`k|iHWh;ys|keY`Gr+;f+%My}aDoiOdv0C>oVjxCUm4qmDC3
z>-OgI@&o%cqjG-3aKpVy+%v)QKE!P%5^4v-^N^pVw5=nWJEZmlmVxwcwIAmI4anxe
zL4dP(%W+nE9~v3{Y4g19RA)X10gJB0(TaYN`qfhyFQ!ns@thq5X@pwYncxBa@`ny_
za3W#885dCDCt;hKNf#b(y6srj4BE)0UX$#-ad<h?*=3tX(BYX&NgewQuZ44;toPDr
z`|qhbbDd!ALAej%vyh(++R)wE+MOc+eOjPM<kr?bxnO69G)&FT3I1xfC}EE}`%+tH
z7H-G}O@0J2_vj+`t+{LKteK{v;p(n3@{N?mv^$77IZRH#3qA6*-|WZ1l|EJesf8BM
zmjn8F@BC%+jiQp%f>MMU44P<6JN@I;rq=o_M0TxqPlm1ab)47d(ul}j_koG5hdn+p
z$6^=3yN232Vi&dwJQv|Z4t=u;fBAQy3@M4IDJhL_qM@N>AP@LBLuk)JNg+RalEw^M
z(otTApPz+uux!1_ZaWZuGqBUM`hy|0I6^LofJya>5>t%V+ZajhP1i+vAC<^ekLi<^
zEkIX(#v6*mi~yK*l`EBfAdb=oSZLhA1K+y>7BMW1+mCMf{Q@s}qADH!_semqou!Bz
z&yrgP!f@FeSdTlm)tis3OiGxi=LXS$#`aZHZvHk}s`skR`?(LtMs20~u8>IK!L@Vx
zKq{ySz;o96-Jt}uy2^r=YhS&Q_a!YOFPbe&Z$E4wxY7y%&{%RH%f>=za`sG6ta76f
z9l>SAK>^D|`ynna&Wn8a`}gnl4k`ugd15mg8k$R~M%Bji#|0_y)uW5#j(W1*#u`8*
z-Jg?|221KDMQdXgWLU?;{q3tRr!+~Cb-Rch`Fd>wulKLo$~~BSKcMO+KP}twN?+T~
zB{F=A=D{>+_)j^&d4ImqEp9UrSsi{rv?bMRJBB@|C(fxs4(JUcf<WXo$t?qpw>59%
zX^M-W7X|xNT+*w~la|R2Ezc#rde7@~f5-!F^k_D7oW)`TuF2T&SR8iz)ecy1wr~Sb
zJk8SDdkj#AdAZc&g|DJGHZnr)BVjPRu16c1d;uQC+N9yO4RxgeIjjYzzJluO*pnom
z$5a39y+aroA%TnWJAmAV!WDF_dwe4-t7nT-vq2zQOX}+CptXa58&11sAnH3%JGy}F
z7JB)dNGqOyKM_1w-HMmm+1Uvb`qkX8c}<H`p3k4tOX+>%YB;nG=}F>s&2Ux%e1jNT
z0ROpqq^1dPmtoY9Gv?;z&g<yvaCh3DzZ6dXm6x*W&0Tw`Z_$a2hsQ5BP&)uBf8!Kg
z;~!Z!jD2;Xr{b{u@Q|Teo8t#MaNV;rJ4IAIe9|HhBA`cVa*c$P6chL>uWaWICs-XW
zoGJ-je9N&EBCGl}2R(Ex|Dj8ncD#q2GCT|6%PqOta$S6Tck{!5{R{yboTGN1knT^V
zJxQ2SJYV!MCSqEsT*)p>4ToAE;DCG&J~=g&0HcX<R)_OK?4{^?4zAn0=Kx}P18!(2
zB4dIT0;91zy#@ya<zmiv&{v~Frh~GicF9(!-r3CT-%d}`IM?DPE=UetP^97yuHPtK
z-|t>Kk`)L#(!|uS99<9>e#J;M8awvQ2Co4f;O!GZYk~gfk*6o-{!_Dqib4^Ac`xjx
z1_gT<ChrF{uUA1bozQQ*d4|{j;lW;MpUQOp4^wAosdA->dCVay^imvV*Z*iulPCy8
zKq~oayfrDXR8U}`Dl*)sI)dXw@@@#zXQ9IzWeF#!OV4||u;8lt96R*?W()oQ=CdSu
zlAm}0%w{R<JwV5a+-bI+SM@)d>l`6EsqNWCJ7L-P9={KVV}Y)z^ZIqa$DQkPJyI`C
z?DcG2{BxmGMvrQviD~|eixFJnlB>6Ro(l>IInQI}9Z=XYFOUvxIx2&W<a_swlMco8
z<+~UJSKwq<hr`y7kKp^RO32|t8`qAG{DQjUKd7Av0t3`ZNrWIL$otvu4G0$bw1IkR
zP6AmYUj*}VZ((m<hs^46nVM&vpBO5y!QPoj=M!@H-Y*UlOcZXtmEv+zqC`+{V1C?>
z_&V}BoRK5Nq0Ww0I)1g*=*_;*`Ga2HAPq_oeQ%Tx(2aSugSV``{Ji7Z4_h3HDZs;q
zj93sMWl(i?rGQg*9ZJ}o`;bGPcg`|aaIu?ED0ujdVj(%}y9(pZS0Elm5hQaS7k4xl
zB0N0YDW49`lRJ?Yg^A%y=xFyE*z}n$byA<V3HB}j4(5%@==t5<nd0t{!%9QrDu=2Y
zGx~Y93S;R~OaFFMo*#`dtSgS-%j4#L`#wS(vXw?p|3A6%)TOulHrTi=m+e*0>Vwx}
zB@}$s^8M=O;2~dxQO~huKew8xzyAFFC6*GI;}ha8AM2TB>*!4crNC9*6D-n(gFx@$
z_u4d<^xhaP<O|b2Gt$R2FAVinE%8dv#3vHPIcPl?rhZgkqq%O++<soV<z%DaD@uT0
zptiX_$JM^CRto(9gF*Qi4@1Mh8J^IDUvn@g8t*%iizzu$57!3#WXk!HCM+C6Ms)0I
z_Y2AEt4oL}0^8&*cko}78o?9drly-GcQ`Ppv!EYF3+IgExpw5bTo!#RQ!*E3lB$Zx
z2iq?z-~HiaI2xI^DE+B9-fovq-SsGp4hH>iw$`c9f+Eu?Xv@S@q>^T1*=zIgEM#cn
z-Y?)WDY239{j`2|ePMYoa}i|SM1j26cgyQxE7<NB(@!Og(URUeZLl|WYVtuU$$nE=
zQRB58W>Sp$^42EKp`N#g?*bbR#bq3K{c77O(!M96?Q7&ma7-d_Oe2dWPL#A%j?Xl!
z+Pow@%;E8zY^pHPKSFJYs>7ev*Ov%}4B%8+Gz^b0vzo8XciY{z5jrrtN!srnOkY*z
z{8>kZD7%h%w{*%3)rr^)V$|M={^7qvRM{*?{~AOQBNH?_DvdJ4iisAp{h3Ym+K$8d
zwfC%dFy-BWz2Nm2o?{wm<9*=%b9aWAeij5~%bpfn=fx5|w_SZ+T`+ewlZ^zCrL8uz
z;L*I7*ZI#AiKu^`SiMU>TY2wJ*A~^mA)bOmKt6AmcGVxyHWDd9Ti>h*FlVU#@Kb+c
zfLI%$L=R%Vzx#P|b1*{NgM33W-5Td!=6)5o@*>9L@G;}zfKkoX)Thr!iJYd*uj9n|
zOy%f|Q4LGH6U2i&2BRqE23MOAl#AvKDc4pFZyLVC>}0G6UFPbCI{5BUl_5iAOe<;p
z@vF~Hsh5s3<=gwpomwQ{ht*Oqn_Oiy21qpBmHZ704wl4G1W{ZUF=t_e)B1c!t53b5
z+Yt-1_1O#Fgs0f)9shDae)cvIzHjnm6ARi5J^y>Xb1@dtPMpX_Mbo&A2bg_-erv(A
zE@vOEvE~FhCgbkYDm*QHv|;4?^FO+G&eMZiI%4YfuRsLfLb{&y6R+CWy}@g0A`3r3
zRqS3+ca7t&?k#A*d}@bPz#DIS87nY=8FV1q*b!u2a!pO@mfEu=69OQ%&t>knP{hdM
zoK0ZHqZ3`lZXH8?D^I*~EsbC1AB<O3=TXfHnbxYhYw;<pj-CR!=VyK?Q|}%)VX$ls
zI34><w6g8ABi81x(ogH*^UVA2>>O6MXX1y7Sfmf^IL<|Rtl-$}%rR*(&8Ulej%p}y
zq#Wv?lMPkdDjnkYN?Ifvp~j9wQSoGp<{A-jZz)qmyuSVEDo9C~QBh@JWCqv2f1Z$O
z!N}SJDj|#Mj*{7Ty3H*aAWU9Gl9^^MJXcnFwsA~Xn~d_P=<wFtWOa&*VGR=$qVR$T
z+uu+^WFSAv{t{ponU}F(@l{k3FQ?5AypEF?ZyvA-Z0nzNPCz3{kd*5iet~T{HxPnl
z$x!RIdTC!=b!>2QYL9*~YUsVvvHUU2tYHIfzp>5w2g*}GHEb<LslG0OhwYY^--kEi
z>>dvlVExwC`Z;D!$4~<~D4Z4kce0>&@VC*kE3B<0_@HD}#`?-z1M?lMY8`JPN0i>*
zNGlL*j(VoR>o&&%WW6C-k`@lu)lHYT@Yl++SkLHd>pzg5NVlv$XhJHjOPAOIwaPpo
z?&f9vBkA9^R8U(?Tv^5$F*%*}Mxt+7(if~(XDw%%Ex`8hlE+F6fF-v6wSDzRzvlQn
z$h;p&)^(%)#FB}G&)UjZHLMvDU=SojIHjn>dE+Q!dvj22K3G(O_8=At&Nj&?3ONUb
zH77C`^*67uiirOC>o>(X|JQtR!_nbXm(Was25GPruf?){`q>kqC-?@-Yzb2zRnpd*
ziUOAQW_#r`T{1eeX{{haf!vhzl{-wDUw}jHzPvviSc@goIYnD0(Z3s&Pb6p>DrPg0
z6FX`+pBB<U$EA}v-gh;3fgYR?-Fxge9|`-1%fNajX@M@fR$aW$s;__FMKlrwEGP3~
zN>M9i$?%U?{fY6N<@Ms}1`?S)2}1XNhsyBT6X`?KZi%ojOKA8=Lq)HKyle?OMBri^
z<vO~*!nbMP<NoUTa~(W=>l>MoYPKZs=DPDC6=dI$)-z|dZsK4)S*|w1cP2;Sf@5g3
zR|M7(U^81V4~ML<LZ?I3!7sMEXk7;@M}$W!T|Y+Kf@dKWbxc1y?%49engJ&AwhJ5p
z1B3FD%+-c@xR=<lz3(>~iI-er2Y+;suN8I_cK=uz8Te0Us$ed{sCUu-X19Nn%e};S
zHga9B^M){KPu&~c$qe@|$}jtaW?fZWBH&Yfl1`?}(%em~Wq+u5P?W+){G8ghq=cq-
z7(bp@o6WlLv;R9ur*%Jm>wl0jm{@kL1Gd)J;PNP9Io@Mpa{W+!L8pThLT1=trprBE
zlmp^T7%kAF?Jl#~b!+($x-&fQ-KFIpE(LwusIt7b+lm9PN0u#S)?e`34hh?Tq_Ny@
zia04IXFD1SLt(J{;}yGfebP}ag50%wan7rLO*yo1q6Mm9NQfp3mJb1vy|Cqc6{PnP
zDnZ~xjsi+)%@pCd!i)4j)swb$-W{8N^$s@V*>LrY==s(%y41?9#U3{N%KZ^|^gvx~
zbLyA=-Wv$J&0X3qvwo&!vo6tcw%$Iyp~C_l*r~IBm?ZSt?t2Fuo4mChk^m{uQx|KY
z;XPm!s<)07-t|f@$b8ecm?%Lu=}wb@bp7-XdQ$6V5aW3$7+C;pK9-rQv!fBCL|T-6
z-&|qVXW&(mbg9b`!2ed$`Smqgpv#3?v#Wu(o3Zs>Uo?LZo8G;Vk3mRZq3gr;mTC|l
zPrD?>Qj4`1%`IPIaOONY`!~*Z7*?PsYdNFCH}Yw}^)6Y&|5<;|{Hwz{L`Gz#FzQP-
ztkJrbw`}h}lM#`9Ldf{vm@iSWQJlKEE<Z)b(Llq!#KO_Qx$JL`(k!twN?2O8VG`db
zylmc)YqVpgp-}?-B34+yowfVe*(Y(4z?M8gmdP0Gx*`>w!Mpcwo_~<bzeIPJt!0}S
zgj7j;0=kt4V_ySo?VHfUlkx)Y)<0*5w}!_};wp_a&7<)?@GWUlT&-se5l=4}pL3N@
zPzfY6z7s`fAG%O0U}~}_4L!+ez*KnZl&reNS!#Fsc5&*5uh`pb9Ez2ITQNaE!qVBu
z){+U)E4F6K4R8|P{NX*N5OBLsxi0rMTWLoDI27|_%1Mhl#&52o<yGq-k@{06gPGHL
z4R*_xIGC7r)Azt2uf`xx6fwvLqRk-fMoSiiHp1ceQ3#lkP0e^3o7e(z?v)G)gR?DR
z>}|lWRIUDL?;}|^p9MEBy=$IW%=%DSw?+;>=i9xHMelA!@;H8bxryn@55K`f$GsG6
za~E!3Xte$!KELbVa1PM>Xhy{EIgmzxx)D3aW0?_h;N`DO%IY&a#tzqHEM&y-;#ded
zy}1(;yeSrH5sc=Db?!?maKff>-NXX}mSa(g0|Nbaj0TAPPMG?*Vlpqvzn-ph)AN(Q
zgG?D~oKM3R6b*N#qCL=9>_!gl9Dy2~?~lw%UM6vN>qwrbrV=u30GzC}5<UA!D6rv(
z#ozv|+Vq1y(nH&nRx*;oeX;Ky&A3m3!ekm}JF_w?r8gg7G*>A@IH`b7{C3^yNA3NO
zo%&%6PF8>hUj*uPADs_=3vC|e4k*d^)UD$KpkQNyuz<IV=$cB+st|{hKIU^@1adhy
z=@_o*<cBr_@~ALh^LW%2H**%#*NM;V0)+#Fn1!=)H$UW(1Hw)dt2FCATXCb8MUwS$
z#b)aV2_PQb97>xOTpDYod3>CLJ_Z8W*_4%q?z#`K*9RRNb?2G7r+<o+q)K4Cm&TZ{
z&?NLjW7t?3AKMw4-WhE#Y>6wE9`l8h4pnctb$cJVA`z(}(%}8%zt+zTZ+eMdxY21>
zmP7(P)p{qwM!t}lU(9ronf$;@%x0VKF}l<wb<98y?Q%9IKr)bvg#IGjA*LQG;9<G-
zH<fa<(b)BW@8fr)<C8x@zBE37_h4!k+veM>Q>_VT^OXzOA5A&J&OHSCl3?_jhxhBa
zZ60_E$iLO`=yuU46<I+}+RnskYHo*eo~Jk;1Bfiy8%Xay0`vpM>3FUi#F5Fs{mQ}3
z5h;<iEc+#AE&50tK~syJEw*t$*F6rm`esm#H9rGLGZ-|g);c}n>>lqW`uA5)?2m4W
zhKM_rRK*Q~?M>B8_T6~Xg{-j{DPlricyLeto!kogz^zmx)Wz|ItZQ~Az9i{mLgRG?
z1{M5&?gC)Ho?0lTDF?P#ON-3l)qmjnGM0FRb=&W_N}(hx@nPHFnMpG8R03_=e)a4R
z`hi*rJ671NBkH-A$im6WdHIv+#e~^!?ZEt$cM0-rLM>fY@sW#aXoN9+KcAd?d#NR&
zY{W-vI~cm<VYGPnbX1w=N$^P2f2PuPu6OGL>q?H8Egds1mz{2;U40r!SK`mR+M|fd
z3GQMdoK#dJkvd@P;8@D4z8;`jeFg^6W47+ZPXC%ko<psv$^aOPs&_BsvSg~hAN*UJ
zp<SVu*LvLoigWVg&bxzqv0?LX`#h70?}Gy!k!+YtvBlHI6=NEaO&CUnQaiUP9|)k|
z<fuJb&n0J}{h&r|K#6%_QdL-UI2{Ske^CF)W$y_gyiHQ#;LQU~fE|m>`QttI#8yWJ
zkOiu=fIWwNztM790^<rn*A4_<e@N`}wvcdN1*}J_0#$dZ5qfKLg|DZ*=Q32tW-?q7
z+VzHcdVF+_KwSi+0!=E<ub+o3S&*zs&Vk12g8hMoUZ!1=sp0bcMjm^#)Z5qO3zXB?
z9(Z`f$=om}1Tx{fs?yaa)X6x)BL7u0GIZ87wGW;%hr7u%CAV@G=P`ZXo}OOZo^7Fz
zD=!PN0&wLwG;!T1OPzSB4UURDI;G=x;Dsr}BH}3JGEhG6NkfJ{lB(2wqb}8>d!j4g
z=JvI8=piT_PFqNaCZp5l-M!!hwRABYIL{;()jhlY!fDFsLT%gROb;SD-_vux^?PI6
zVkg60@hppPMNxx@Vih8#1-dn<)sGQB=G>=I31fhZWre1m^5{WcAmfW`vu5ah_%pdY
z{@eg7ZBpB7jfOpG=Z~&?)Qd?1ycmOYp+vt+nA^#a20_XbPrn~!U00}+uT^pGoB7q7
zlOy*_`=<zLE}0sT%MWx#igG`<aHh;?sYZ60b46O<TkWdNG#HCUa{#W?hd(xR&5Biy
zWJBI1eo{Pfe_%wc{<bxoD}~F%Tw`3c<=l(FRUGz(seY*Q7*aUUf1}QEV%Uv@9-sNH
ztgHK^I9W+Au5wyi!U#d@FuzEou1{0&vIDui_2n(Qq3;uZU9_nh<uQe~^DkTQdtHM+
zv^t6g(gBAmiJ1N(VWyO~&JZfrR)Y0*zAOL2Ex}v_*DU~9)`vemrSl{D1Un0hN|oYo
z_(muPPV6Wj+K73fk&2Q=kGhyW{TDA$2}CziAidp~AJbuqk&=y%O91O*xxgJF))X~y
zjm|@U@8?rq5oh%h5^v;yv(~;@0(EI!#s~BFtin*5TLcXW8}Piwo95&1G}gD|+x<*5
zoCF$TKTnZQkV11=32RjUnxUN*a#eh<j8kJS$)*xa`vmXsh#J{vou!zlf%Y?XroFV9
z6?|@n{GAa;>FLyc>Q@46{t_*P574-)FZCt)oD;>9iQ=Gny3z1|<3RWn{W~j;y@~xL
zQEy*}MIqD5JZ)&pIU_~!t@492Bq6izWoQD_jqIBNrISUO;ngnUaZG^AtMLdP{?;E}
zdNy;yZkbt*!O0Wz98cDFx(Pmx+iHi+Bc!q(K+S4a+VhPK84Gl62XBzErNN2mGb1y0
zDz(x2DV#RzRsUKLjebeeQTw^A5l`$s^k(aytGhlDSk}pMJ0plAbv)H{s3faSIc!`W
zh$MpmR;t)_V;kMcV|?$k40mp_R-W<Wb>h2tPUTbfFe)#T;~s^+G#wh!PV(2<`lmsu
z4Fi7VEc`q_g|Wf4HC$~PucZ5Zs^WQJZFVpL*8r#ULV~uq4%k&KaLLgyiU_rck|WXy
z=>(2B4L{mQlEw&Xsmhmyzp2y1%lBVCv~Hpkr}iB^&hLQpF`V&Y8*jJ2(S7k#+Dzys
z`v9UhwLlLj4ZrcU6{aE10wzA>^)x<bGZ@JD8woPQnTG}2xzyX@nCrs8U{8hM>Tv~r
zY_807jk0mgUQEdA>ip=z#0f=JzIlvXvL&ymk;Ump#EE_CReH+{paXZfU&vt}jh+f4
z;zb*=D5G*}*b^tdz#VmRw~RIbStFU@-tR5kQ}XC#XhWJ%u_9s0%%|lN4T-d+_!TVA
z^t%1nQ5-;R1ZyidwU>1uMCxw}V$Ia0cvBg}erUHfL|%>kMG7$}xy9IPB?Xnj==Dr_
znZOADRuD<+o4fzeD&Do;oE{HBY1UlI{!q_gQ2APCw(dW;`Mkf<m9jC1neDN(e`|_M
zIW*Aqv`iFj1JfsKdz!w&(W7!Cb+m1HeS(&0^ilMW!EFvnz8b+d=SCuTO7d2<hhtV6
zwRgaGw@<s!JQY3!oAv!&api{1pGHlmNqsw{Xli<`4Vng6q#l59vJ-KtNBtQUN1=Wo
z1w#OsH`wSBjQp)`l$&+uMJ0*_y?wnux)q(!Y9rrJ=vH254_9{pSr-W4*D9v?u9bTE
zo`d|k<P6WgP+@olVYZNTzA<17eW(4pJ+uo`Yi=4;`OOZCz6bz+WSRf=5r!IA3eT`B
zElk9J<9#sarZZ6GHon0M-vb{LzDxruo9+0bJ$2F!Xr1_+o#@JP2N7BPIBCN5Dds9&
zDEPEQo2fO{>EuS*G!lbWzKEh<st`<wG^Tba%{~!&Utw^(1iz`A@kUww@5VF#Ubj}T
zZeK;@a9G6#%GR*`hO$u^BMXwoQ>KxYKIU#dXLv#a@OJanh$2>|yftgOs<fjNUtciP
zf3*X(baEmA=U$eP<F0<Ip_Li9iPIQiWRs;&P^im!M$(!}z)~xowitJmY`8aE<J?Z$
z5d7fC&C)##Uw4MCQsU5~2~8$mB0ke|Jk0&H-t#NCAC?phCO7JfQV-#xnn^J*&(-8w
zONlmYaM8u48~y7WYESJ@Zz3gA)@S8Aee_FKxP)m^{9PS$WMUOxM&<7+j{4Ejlk*2V
z;l-qFOtz8pVS|EGWs#5eeJ%D!#h}J8aVbg3Ej}rad#5-QTwSs>L|BA3;&p&cIEkCI
zJN8ot;01+ksF>D`Twn^gSz`g(TC?l*S^ewB<w*zs5)K<TCH|97-O294G7<=MhkCGI
zSmfcAWi|W8#_7iP48a#29rKM84Q}ydCig@<J7Gd2!G}9fWlhbHUaWc(^=E8(`LODA
zdksgaq-s<0O8U-%tv@X<zq`Q3s+{XGcCqU)V#Vf)LsgcC8Bt7!i};HA;BTcR4oqe#
zl(~#R&LfpjuUVsDAel_Q;3%!q4>yE9MH|Ub5q+uSQC~AU>S<dc3fS-y;y?G)`m7?Z
z2EoSTlPT1cLxoH^d1dUa#GMU@(eo_ElV{&|30x@QW~c*57SgnQ?@=VGhaslCY85Z5
zbx>N8`!a$QF_#}or1I3_30egq1lASEl``lbDf#{*nWILG23CbhH7h%q;K4Sh=!h1-
zE@}hP#DAt|m+V`e!t^R6Fm^7X`-?MN)cuL_IYvv5Uc8sOTG7c!2a)=u@<>rWt=m?s
zU+2Hv&$CUO-zy$MLqFARhy4LOxlB|Qh*aT$+Vvew**PyAea(}^To79R5t1-iPfZ=u
z7vWP^#jxa&sQBMm-LfarP$NEPxgI`#!^Pg7jBemsC7tt;*-|0xWtNZbfg;4}6Y2v2
z09|pGs6Y20?kUq-DOYAKuK@Z7%W_ZMQD$LK>EanXS$^z5>OZo<N{i<on@z&4EUagJ
zh*=}qqpNy@A!*5x9==kkQsU!}C4wn4Xk1^q$Sr(diT1BlVA(fxXyxOzG-eg%N2{@v
z=C!cLEfV~gO`X{k9_ZPh6z!o0#X)1D?d%ydDOIEDkL`p|BWs3!OkHs#uA)G9qyz&?
zHJ`u#bsFv|onFw^#wPKw<c;d_)Pa|gSkn&j3^%*AqCK=qYEEy(U+8H+Vnznoi!bgV
zMysa$BB1e;IZG*aa#;C{INyez`N5_8gVM>&_n^MHs4Z!P9=VUFGUX>KYCa{|d)zNt
zoH9t1k!0Mcx(TMmjeR6o#9_%VEI7sm37yDC1V7P7v<85Y2M{&#i+1r{3d*$~H9%_V
zKuW^_>)B4gm|`o*E@98TuyVm3`EC7gw=F6{>%}9&><1E;<d6OqLl(3hAr;Gg-RgAm
zV91h0NqRTa$alx!7cK#Vz5fjYYWbZcn@Lga2!ntA_Pcx)Y=lA?6<HHqpNo;jfSfO{
zVinD8MV;)Pj=f3?%>X=Mvbw4;yyA@@+jwUR4%z0k!>J(59pS3aZLS0y#QE<ZKgy66
zB;0qBWu5Q6`CC1fR9$K4Yr$}Yio<CJxfx*5c7IeBu!-!o+?2wS<!I1GK9_aa2G-w)
zVz&+=M@Z$T?Rum%WUqr7)R{V`-CI#p88=;CV*0TKYLCa`Bg3(Q?r?g?kiMWccAn*x
z1iX34nA|HYUo^L$<MN7IKz<ND8r>D!Q`Pk*{Pv60P+0I<u&61Q!jq@vFMof^|0=5?
z8Z5qe_{lXe`nJTb!bmB>iZCEh;&3X??2+}`myerEQZz;a$G0_jO5@D_1?$D<sh^0`
zxMyTlZ!Tzi79`x@gF9BdqYDS<FGP-Wj4mDWPWttI)jV8UF$XOK+}WP+(BR=^=OQpF
z$^*Jsp4BF8tyMc{z6yv@-ur3Cn%-KD!9$ZQU8S__D2oYYqlje0myTott0sNy=^5YV
zhpVC*ORzSr7+m6`<GvL)JqY^O(7LM*ZaLA=@IOqVN?g6&?1y(lb4~XoGcfoA*T=c!
z`k5(ni)9#=X=p^v4+<a6eO(l^d{3N*s_EjziP0Pw&&Byd`{WWjZ8iQ<qCd1GV|OxP
z8zG<<pdEBs`Ds>l%6_zkkz^n;>4!#0Ew9)=TY=`K{3+~*6+c_5J>Ho|{eq-P8X6KW
z(aR@!+@E%pGn9HP<5E(`(g$XZ`3=7y*bql!yp7&a6dVcqv9u-{#xTWNwl1=B@+SH}
z!A3=W7QSkp3&)vACd!1z1KqWNdL#g;I$2)LaCr0a!6m_7>kcvom_)(eKQH$teBd*Y
zO(iLXPx!t@80vS2hbNFu%@56%{jQ993e=;~#xoi$?<dQAHY2;zH3?g5CRk}+YmJj1
zY8(?E5k$$7gK3UbF;ke$(T#;}YfYq!`1|Z>c67sb3DaMRX3ecU57!-FYmb4j3%ULa
zibVp(k1~@3`S-)M;>rZ3;Z&j1dc>ari&Po{TK=coH)E-T1@Rw0es{N2>Z}Px{<OYz
zl~~BI-9r1@$4I)*&R31n<m*Q;aXZ5-2Fmcpq4FchAR0~feRlQcWT!X-FeF5~nI(MH
z11}iz&{k?1cM_pXwQ+WY(!Lm}_8z>Nn+y|!LA7uwZur<yvYPmYR^GFi2pALbd78Xu
z(}gb$_gHdwqC%BKr!ZOo#g2HIytYE{u}odHw<y1AC_vMq!owdlTQv)+L`EK9Ii=aQ
zYy=V$B$Srb^mQ?Jml1Dn5xYHh_?B|eB)S3&N-E$!1+flXi@UWqQOl{7El8M+eauxH
zBtw;#l#M_oj*|7#C~hbc>Y7+4dVp*_=3-$BY94#?7{7Z7cX@mL&IiC&Nv$h;^fqo$
zo2xlC*s4X|E09+0r0x!V#-Ugh+(b;4oVH^6VQ1=QFVzya{fvcAn4lCyxsA@!-{FTA
z%}9{5(YU-rtK=L@NlGJoFfYu4-}1eN$@5D(A}=}jUjd+}0&KEYySenS_di{#N9=5>
zvW9sk+wufQ$NyqHAwi+mSg)z@V*2;jvvE<Xkr*+=m{ZH9u#{B9KL*b@iuYs7;6K0m
z{ZAq|tp$`=8E!x4A`Ud5kFJjeaN~>5pYBUzE#(58>%XeNX}n8%g`cD<x#%O*TIf+i
zYsAS>!Fgh8<-!KW?KBNOpkt^!UmUNz;fA1%BrAm!FJdXp9uwyU&DpD$ZJf=Spprz(
zYHBbYT1fwxm{g!x4>hixpkzI67GX;l%7heu27$o&5lFRkx#-KY{3>5`@)is8+g|@T
zE&7Xk#z++0_U0j<=<`5Z!g0>3=$H_o`^1stAJ2L`Oss|n%UJ>gk7OHzoh<ohmEtlB
zi_PSwWhfI?vv$?@z=YFN5OYhvN8Neh%@gfn0E$~2t-=g0-?`b()NtyU$r%9okYoPw
z??Wen`fg-wNtjVpAx0~uI;5YNi^<fCLrF@Lr}ecx^%agl-3TrxMRHn|qGKuJRQDI3
z9ipj`GQlSFQPSY)dm*(29h;I>kgIEtz^#Qp+3r3hl99{W0;SO9EU2VPw}GZbklG3B
z51a-32gdbv01$zW>+w{$W)UZ*8)r8`pw5PS*QNp5&Jr020e<7W4lN}R1F@g<yH7b)
z>y;@e#Qi)8{IBnQ;q?R&PTwCGdBL9J0V?aG;0Bz{TGbUIa2`icMPoi%Hw2DkG$IAk
z(s1&Z>|y-1Ap`}KLU&#fYA$8i|CdK2aJnMfS)&54-{@;Rvh~T|QDhoO4G+HU-F(qd
z*l^ek@9EQ2D;A2qhYC$B_Ma9YWnGr6Br2u65dBCR^W9JwcBVz6`t=djDhO%(m0EA?
z5(t2&w8d{zSjU@SY$<*eKBG*1pW7);`}LzLMvFKeFR9-9V_EwT)Py6&KlpF7TqwMb
z>bYapfX$$mU_yOtthng{$m>waRD=`%XW*b8U2wxBrhmH{&mSt}Wr^p`XLd?C>#_`$
z<RfAxyKe!yuSRVwqEopOf6sWTJ{%`Up5n>GX%RAOhFXNXOWU&R?n%4&oMjUU0q92Y
zEODE#E)hr+B9696TqX(VWN~XLeidC~=EOVH>ThM#63d<dey^;S=)byzgb%5i02G#y
z#6}@@kcPTz#l-}NhZ3cjLX(r#fs?@(Uc$Vb^PmtQ)1WTt-|h`W0*L8lYPuF9vd0to
z<Jh3DtFnQu9Akjlx-wKp&h$qY5%^%Oewn$Q@=m*lN#XjCMpGf9q1IETe0EOlP%Rnv
z1607Gz6OCA#B&m+T#0(Px`fI<(Xxenf-4YPJ!7NQ6mTnP>kO^}zbfRjh4`4p$iJt_
z#6mPInOT;pjL*Rib_N#tro0$iT}|xyN23RrIP0Q!Drz_k@yq|dh**g~%95w*CkC_7
zhOAlv`@gk=uCD*Qrku7gRDd7UfzbbC9+${R{OB3@bPjGcLZA)_Y7|BGDf~wO*YMy(
zRYD@f9jDvKCX+7@29DsCFY}=SEvl2|4xc?8qmTO5vXINy;)qpH(|GG+|2`|vi*Q-c
z*~WfIb8t}wqjG=RN7^T_>Tv<LIaNLxI*KWGqWwjifOWS0PAr5LT(!bY*P8PgL;{oO
z-3^T27c%@vU{3f}$Pl0H+^|OIAH@kIW;H7(c`YrOJ0R^%Jtvox)e6FKPI(RZxZemn
z#!r`d5Q5Rg3PhFMx@NnUqR=kp;P`L6IwkEN2mv+9HM{m8n6i?y&RA5IvsI={wOcWn
zCQ$mwC#c~{F)E~nMjW*!OfUpxsGWFGnV)xjh|@*tTC(qSmJhN)%6#dHei<7Q$pQL%
zsgJM%C%aFoLob2gubrkY?tq8@{-cQ<r}583+J*obzNQD1f63!`0Gjqw@!Y)jlMASz
z0l1V?LyE25m?E^DDhVCZvChxkv}Zg9<F>eZ+nr>hYi}?vGf6N#S0doIGMN4g#0zcx
z#dn~_*x-c(uYEty!0gmT?SFL+Mlln~qH<D7DoBobF%t=vM$5(vM)6<sfe&f`jZqyQ
z+NCpFEPBw!WzE$bd6zHrP<}+GomGj@2Cv}{eP=b=_>1Zn%I+arS_u@>&rP*NT}yeq
zi65BqS`^^EgReMkG=Zd7cL~`Oitl|Zvi8Seg`VH~W6PIuF5y#l>%8iEEkX+5+jUUO
zhp10fsDPeTRBQ^jCFFMm{b3fBpoc|m;L`LRhz%gm$7Qdi`X)yYwT6+(^zw<UUHlx#
zl`SUQA5!qGq<qXt(XYoCEv2hIukL0PGi@i-Uf!HqtJ7r32&#9lOpsMq6$urI9hk}z
zP?r|buV%6DRtQvcCvX70z}WRa+XRDR#L+??i%^;#D*Nr1&sipysgYn?zSt7*A=MO(
zD01x;7)n|*TQRSP4>@56GKEZgMu51C@{9xh4RmzIldcEqUQG-}{{(rcO}}2P7J#OS
z-%)&Pn0@LJgS<X5!YLf6R#WHtj|>l>DsME1*s|-OoIRp64Ea?rhvozSI%(l~AXY&j
zTuPzp_A_Cw(v?{8e`4HThvnQ40nUQ-ps{jR3e+?ArdVzb$8!ysl}zMVaNdoisl?2v
zRiXZHw%9|#ORoCys|{EEv4ZB)Pu*AxC$S-w9&W_c&J8exn?Um~3}7r_#zW~vFjU>R
zX;dK||1^}$CnlT+#K4Ck177k|()vmL^l}tb$cIT(=7?fMrfhfx9OONQ^95|ME#W-F
z8I2?^Sn?^j<TkJy)MVlmFiX?_<y9yjvpF+=OIOM-^95>tyes3FmI-a8zN-Lk*t@PL
zb;LK`1-XdO|JEQ@gEzn9yG!&Xh7gETgSkhc_@vQ06@noC>priR%x|sEIuBkknwc$o
zI@O5zSj;XuMy)KFi?i}Yw+yHkV8rTDVx<&)B<b}L%$Ze71P9h-wmGkH6Z~!k9%fv7
zqTKI+taLN2j<BsD6tOc}2inyao%FW;pQ%cEFnE`ZurA=RKl1lo!7Py`miy?+8T7(F
zE5U<XAJz@YsqF^dMH)=Tw8JwM*gW`ko8CpYsD30`nUsNts2MGO;68v>Z89`H28v9}
z)J!YhVDnfi99$9m_)UBg>JHS!Z`q$OGF<uFT$3W4C(wz%2KRlLn-Ib^1pfyH+FYiQ
zp|amMQhp50&q1<rAD{#GVI(guhEuMt&;`as$x5nf`onBy2bZJ(Wi8af@MSP?(OBIc
zFu<8pMZo>hh+||$BT+zA97to~e$I9H)N+9iXmT{M^;1p(hr<i%Igsj|&?MEoDXds=
z`o?AR9+m)SvsP+;3P9<<>0>=~NpzS+uR_1MO{wP)y%lZQ-_-O~1S|FAFA8X1f5>{O
z@1}w@SO9m*c$7=ETV>_NJ*u!>)tM9z8&aFZkpb+=<+j;JC0hG*JKUt!Bzm`)6^DyW
zHEj{gcL`gytIt^ZVWkxn{KJ%W$C?QO<9%H}ZsGju>$f}(@|cV~z<M0DLPVYQ-ng>p
zU`|-+Bo{xW{8dB+KcK<Ii+lg?<f@+N+6>$8^Q<?sw&1#>vEi>z6}$z!AV&o~>}8;X
z07G+uf^RZC)>g~a=K@7+jZ4#~gR2I6Y0|otSpxRb)av8Da4&g@0|wB|VX?jgYsRRH
zt<A7>koZXUJ#;l^w_no~^j`eEX^bc4CEa~b<6dV5iwTy+u*7|D(|`_wFS{R%bdk{M
zlr&ziRaltxV6pak1v1quqZ7ug34jaQV-_W{ksCT3t>M4_;xVA=FZutq6>wWDps)i2
zUoHW+CA4!A$+|dUZ!3cJ01H~SM#J}x)bI^5+o+ol4yW@EFuT^;w~vb=1Ch>QH7(-y
zU-Ox%75_P)L>|Lji`AHk!$Z?={9wx$c36Y?iDPv+8T@D6$zc^Lkou?GQRAa0PGwD6
z^`_$BmL+*>`J=Z$wwlzI%YBa{g_EMB=AbMueIh5|*6bH50b7f++||Y25CX#Jrt&i<
z6~-7ceSJq6<M&}ucY-}3LNt=EYs{V&{c#Fpj{K%hsO1`}z2QaSm?knThu{W<;Cs_w
zq#AR1*^1z7I_X*o{<oZkCsk8{pI-F5?u6M*gP9KjSETyI0X;AQp)z2t45gM@{E>}`
z$~d}2Y}Be0*nBTzx&|;of1&E;67&~m7?uzN?ma3=8-Gj++fcK=jMZ!j9g6u_hc`(6
zbI0q$b%L6C5l~@_x&s&KOD=H~u==~-{Yp{sRaN<_U0+feN0&^PW`mh7<W2tHa&(+E
zsAhg^wJYWli!IOkpMaVHE*=!{rUs|TgLZ6<9=J@ph$+IR|Az&uj<T4J2K1z`5opXn
z3-KAb|FxLjTd%TkdGDR+PUpIm__OMH75ZZixC}29{>u-3I?G!1PtpI8U|1HU%grSp
z40&uOY6vVPA2_6nJbPzujv3&mC29B$Gri8L;J5KJX~HZKACXV|*W2QC-`u^t`<&u_
z%I*F<k6)WUIr`l-HW_~t<KP%IvYBzs@0`A)<^l1M$}(4pC%gV)lrPyIxgKvC-%s5b
zCaeFA_XFD$f9)&(;F7j)8{C<vY%d{10UO+dP?kh!ZwzZ@rW>PR^jk7o9iDpG$gQQf
zrB>s|&1J{DjNeF~wIoegNZU;`R7k6(>tv7J<Q8!;$DU<;JV|+T=35?jML-FmlHo3A
zRQ>I#{r&`6NVT@TfXRrTvq8xj60^ve3p1U@|Hi75w+^>HV}e46VvOM?QcdvXja1XP
zZ;{cD#^l5e6gEG|2z}pPD9(2uxD9)}6{!12{~OnUz2oiWq+4&A;yNmN`-{kLQA{tc
zsuN1hb3UU$^kqxb6WN~sp)zER{T99RZ(&pUJ5}%58&3Vx@YAW8JOO(P>DcMn=9<rE
zLARI~5V@?aztQ1sOofuM`SI(D*A&EmTg<zQn8^g6ek@iv&^*Q`67eJaw@H-CRq*1U
zC*g<DAG1Gb3xxY*V@A6ybWc1NE^1%3p*?~0eWq;SeY!po{6BXA)Y6a6s+weDkt0VZ
z!6uk9KZ^BfzaN|1jI&sbi-VSP=qa6~XnBA=1U{cX@uq8)iaqu#V@+3kzvpiBs8=#<
zBaw++UHWH>{IIj<@9C^)9?3)G-p5UmtQi_PJ0s;|ak<+kDLZRFGsdeXr>|d-L8$Dx
zJ^AG;GtM|S7++}|928YEz0P~-P$hwE{!6mSNUm^0dA)$ONo^ROa7{=6MkALg?}_Oc
zzPuh=KZz3Xe=g~s=Zd5wSPeA}X%!oGPT$iKktE&i_c4fDM|b?-8NbNW3=?%ejJ660
zzidk=Z<OG@mFNtiz=d>VrQYR=WVfhFsmb)?5vgTpWY3O~Wul<;L~@Mfok(*xGg{lk
ze6v22H+lrQYcklw((nYHzH}7FNZhz0#<P(gNzu$ACh(uLYFn#~&V)SCU49h)ts0I2
zJgxM)7Ml0m>de6PGSy)<#cjzC1!5Fv3?En{5PUVm^v%c)5n9dox;0IXt}4nfoHbP~
zKRMoCN>^gc6Y7d|VR2MM#;+UpP4N}~%sJ|Km?sVfpZNPGBdcT#do+enVJ+Rxg^AVl
zd0<>xg}5DyE&h17lkk;^*%s4*QR^hwBM5s5>Hg!vq)ZvNRA^)5sEVn|HdbtN-=|29
zCJ(Ph6IHUrwLEPUh<9A`JwJP+xo+R+`pKZNWB|4Q`Xe$OTa(5#T8&m?3*GBilwy9r
z9@a4mSJqSe)?;6+9QVfM8?#!^e6BIPEjyoWGyUHYNY{=0Nz;DE%!J){QW#C|4|El>
z&DZ0MMb7QR9WIl5>0H}Ojf;hs^^_s>dEgtWWUV}-%>DEerZ`F(0>2?O75oV;(}aB1
ztDJ<=#<6mjWwvvRj+ZJg&>R<BCkx46^#Ai8==YT7UEmmR?}I?h4KHWKkB7!%N20&Y
zXXWN$7Aq^gvm^Z4s~=m>nMYsFfv}jFox2Ig?0{B%9uBY@(m~-}a(G{9A)PdjKeJj=
zh?*koSaDOvl>1`AV^dJr&`%f~vVaPoy=i60uGLtzKPDDib#u_3*ZfjP?UIxn(xEn}
z>Mb($w(w5CyW6#l<X5SpvBB@n4xf-sqOIdg;}o5EZ=>u=_(aRq$(=Z=zG8#9Wo<Y`
zyh<c=xTH_X(=ul1Ba-2uq;;xF&MR?$bXMtj8=mbR$9S*6fDj2kLOzxE0u0*U={A*L
zvi-whW=TBrircMGSSEwe$L9y>aF<_tb8hHLiAoi*Viab#X?9CUUqik|8iv0ZW*TqV
z2FW?pUhKNpe&YV5qruFL4=T?Rn=hqk?j@2q!Xz`2gKb1S&Cztc8#*C1z0nt9{X5k0
zlEICv3KPWb>klmbqmG+u1r!|i(31nrwsUIkQr1&09!SR{b4|6J-x-vWSMwb?8u6~0
zRTYY^qFz==J(7t-Oyhnwq63Q8t}I&DA4=7G51k-}eIx-+<*~bYipRTy#Un)uzv-I8
zcH;>h9M1gg0+9W`{%BWO2syAAm3~hw`|Om@ha;L&dP-HWm_Bd()8x14%lL%yj8#1&
zh>vZ($FN7hv-X%82mMiy1R#voG58$leUaXefl%4@+v+aFv{qGHvE?phI$~jm%;dT5
zF`zN1e08|Iv5Q}eS$%iTG>E%hRL!`CWpq_SqO9c^rCJ6>@IE=DMlt+p`>p;L>tvq&
zVC1esp1sj9J&RuT=_6cJh*8lxJYitFK6XP!u|sOgtX<!Y!_*g9jH4fg>L5ue;flOb
zG5hDZW}Qibw=Ys3#-Lie)|eW)Rhz3x2*BejqNnU2&g^Q;bX_g@W3^80&KRX>jD?@I
zbP%QT(&=Gi7OOlZDH+tFDeeV`E?l@}fPh7TWrO3H$hph!-e}ZHGbVidk>*1(QaUy?
zAeiZoGPabgbmBOvK~R`G|0`kCy7u$gx>pY>mH$FRzV4J@$(>+t%eDs#mJ$c<*Iy+A
zf~|&58rwNh@R?b**tKCRsEe<y0?4r1O|{~DsDn{9$Gt@7g0S*<5#v1#3M8!#*Ykg|
z_f~OHhTXgHARs0vsDPxTgwkCq3Jj^FG&+Q|bcdiK(nGfb64Koz!qCV7Lw61}<dDOB
zH}Cu32jAH~*a!PybK=a;XP#O2ifgTV-OsG6QGrLNT4BX_SVlS{n<dM7AYbzp!LOH}
zqLPfF@~zjoV*QqWxC0C=jVnI6mHHZz>9{|kCuW|R#l#`@eV5KDLGyO>=%tXmy)o<Z
za_NJ6mG}s(kXO_kaR=1s-{681XJtvzTIUN`k^1AE0)WJSFXK4JX57$eWb(`!I!eZU
z>HqDknj9jX(1$G_v>tqQ-ty4;EzPf6$d%8NcTyCT*K^b4rSwj$I_rUK7YeElHF^ec
zJ4#QOEFtCr>cM)3fcpB3zK?dFb+a;DM545Zup<hfYucLvu6|Cn)Jh@ld|?nsB#Oe2
zXIFJyN6D!%ek`d^phYm}@dkbn^}z{Bw?$n}9_c7iYFk~zoX7maHr`+rMt`kbJ$pdq
ze{l54%jy1rF3<QEb;roQdP>d5><VqS6p$W6-<{uC!F5h6l12;67AiN}NNy<mC*Jp{
z!#1oBYq-%t@wxxf(!qTM&O>fNK02a4oFp~J?$SqVGC_&OiXN`#3s#HcSt5ve$$>Ck
zQ~ZYfIhxy1%xq3e6UO--eeBe>M027c+E?#|`08lKL)BYcKtL(pU%q-CeoKLCRgDXo
zY@U^N4`w&gGje3vE^ZZKb{BXY5l7d}+}$b8R6~u(x?}QMEE&M`N8(Q*kzbRvDXmT>
zf=myIZ=)vrK=^Crl||0}ZF!q4Q~3-dR;|eD5qLc*GE2+KsNP6qR(Bru0fOx6jt#fU
z$HZ=Wv2^hvV=dx_gbCY3tBYRSC%R}ZXPT{t7mt2-3Dxc-2R?UwNnFl8+3<IMf6;5Z
zk2@PWEaSxhqU5F<?CR2Y2_WiI&Isi%DLG~%f+ZiG*SroH$jh2}${XH&GXUt#sxPl!
z$#5$7^S;-U`hE50g)5P4+C|O>>WAXc9#*KFo?x?qi<#I(2XR)d)1NPO&UWKbwIqeQ
z8AX59ME#TK0G>;WW=iVdHv+6wxO!9!8{P*0-Pfx+<*EF@x_Y0$Kiy96Ox0sM`%{u{
zIJ2R6wWj?q@a>NRiUu=km+Ned60dBV#Q)OnIHBIBf<%vjl^YcqJ;{u?#SQ9`M02f`
z)U`K|)4pVQF<1X@g(pD=586|6DsB3>WfuRSnOkojv+%5~ua|Q<qZ{}E@=1(dq24ze
z(Z;Ka6#C?V^|vgUh9!-9tEc&>tJlV)K-QDKXeEjKn!EIZ>`>qj#-ph^LVqQ%dZqsh
zGfrNBIYZd=hT4j%G-scnVT2)|v^hw){*WN0H}tzfqu29a0fZ#4!&bW1bo8pQeHU_H
zhn@#e?nFneXsvEEQYsJjW=4poGY?$6?6cMz@kYF8{zK>wH3Ox_6XP=>Xg*6VT+{F#
zvT{``zwYspy-f>?FmFU_z{hvp>Rw+`#xND$eXLEyS4|cQ-coAzZ`*gRw*eXW^Owd>
zR3M?RRiFyD4`Vs6-A=os@dV~qv@(J@6nL5<PTuhBVJBJbWm+|C{PCh)e&EzIZ0W+N
z&$=l;8I`sOYW>JV=@QT1-GnkK;J3Z`{iDb)vE5|5PS<ymH>et2w1bNz^O+8Na~|sA
zl>4lu`%EjJJ<u<GYHS!RZ>qB2l2P6FbVN*^?tp+-Z<+YHP@4X)J!XrpCB^JlJ);*4
z6C=H{5yT42L*4L74<1m4{)_T-l0%*?kIVe_=!113Z*STVnDlb%JN<m$k5>To5_L4~
zeP{Gk+3=|;1la;~Yv^WF$$5iBBC{x~IM-vVdgQ?D`^PKeD=QLQ!?DMuS=L#mh&5!b
zS?CmThr;vl{I93KGgnE<u;~@vTe5X%nd1zzJ3tLd4s@AcD!+K*le5>REMMhOgeV}9
zrT`NLEKk<e_$FB)DcQ^U_A!GztorOwF#>r|L?zPRe`!alp!BMiKnSH{IWy=Y63-QL
z<~03Leyq3#5?XpxoLpG5UvWy-A|8IwU)~*o+a?rMc|N*kXrZ%~G7<A;S6gN8hTku6
z-IlQ_RoL!kU4sfz1Mb|T!=TQ~e#DYbNTn#ag05A_NyDtE+fPYgw-Zbmq8*wtpKZ(e
z><7M)c~3N#{~1nV6R+qwwfdG{9=M<**891(pHxY%pv(`qRIR)PNsz*bBA*r<{0V=G
zTOSGBE1-M(FlzUqGoC$dS3uA-RTvr%Jr#lCCud)?1=Hv>%Z7Vss{djkHk8MR*Bc12
zib<1PHLZ?!b=ip5$M#6TJw+dHOlOct?-DY!{kax7N6i0{`(34(PIcPG+VH3C<JbAL
zaiug%;}6<T(=>Z5JlVwMAWe*|5_$~Bih1wF$Q1M>OV&d744xzzyP68WgHXc|twy-x
zFFtuBf9lPgGq;<40@EEH<yQm~VgBkitpt|ov2#3TReRKY3Q8pLpOB8hqBft?uA67W
zBk`hT{}PIGs~7Bt_nM^fOl`rJ@`S~@(yosvNz@-s%+R-!yXIEbvDClmIBD{1M2zh1
z_6L(vw0wTlD)CTcruJEQxe+qu)2mCICbqbz5k=5x5|rs6wR=7@95|<q^424ps_Gu7
zi4>Z68Q^wa2qG-!h=CugK^Ve$GthH%{C+o?gX?YHD9`t4zSvct@3fmLx>jjXr9IC0
zEuPZ{R9{~OP<EQ^e$E*^dUd$IO>Zl4M@1@(NlUX#CgvbAWgFo<yIRL4tO!{QCBi5O
z75f&OHgV)VgI@tpnXSZGnX~Tm6O8}hu{(^G!DyX*8t%_+`rXt$@O#-Oc%Ggl^jWgP
zPIz%LO1r0=45|mvTH7oQ?E11H6lqtQO0+%ACm-SLCf}huYs%=U_dWW?Yvs6fNK-%g
z^8ggq%>ei9xS(&WV*kB$mZ|728@{;}*Gp#Fhx@+iu5QZ}RB#Ak%#56qO1!@ju>Kuy
z+;u+El94gxUnHKNG9>khdr=pi_vGwwp?@1B<Tv+;;x@MR>w|n4KfbqRYL)P{tJ{C?
zv3+!vO)@s>X_8UF{`&WXoqGy|bR=Gf<&;PH^_X1PFWc|+41==OO$#~(q7SbdG2Uz^
z*Pg`6SGuT0%#6+EyT8vRw06zOI%7SeIqgTJrLR#Dgi@0?usgQVy{p}JV>RS2$t~j6
zi67w7QH?ZWj*KlhusM5YJK_1*1zo(HaJ1Gm>3VYi0l(g*stBzsHj5&<#_*bcjnl7N
z*7i=8leFb7APVe_4r*$)Vn1|_XoW`9A_^|veA$k7IV$99elJT7r0Qvx%C|ks@cfTd
zBAcBvIjqx#O>1q+{Z~zC$s5{qn@*?UCshT%uRchXDO8|T=81b$ebcn@NxkPmNc<7U
za?XIY<EHxb(JrO;t(%E?DlF~@?V<G-%WF?{ha^jKxn**>1~_$~MlA!Kkd&7Edar|F
zE)sQi;n=Lz<pj0$rb*v*9RtSJo64M}z?raehkN}`U1(_?_j+(}+}DLql_^#Prnkr&
z5PA)q^2^(l>Pq}eL}3s53jbB?(aJCr^0tbTV%M9E#^NXLN<Cf_L|;VU#(-lxTsrpV
zl>6!xu@x`4n3Kui=5NW%B8OmfSAZYFd?$?cU}Kcjs;3Bs_&P3ccHl9M-+j_VB-{lm
zNVdGT!5X89@j`$P`T0jR9`XfQVem%T*;*U|PVG3x<6rSCKtyYw?k4MzG<21e`}b2)
zbn1SOW<uLHMiYMVe{`c11DKKdwYg!!>(pmDb$G1Sc}MHDN)Y^1C2~EeDJB?7p*tEh
zkY@PHUs|X=0d+{^y9u&`b+iuYn#sT$jkCXITZUyn{RRUWrqMb!(RZ&KnZV1nC#raU
zQ@XlZO<v3lkMof<Fj~f@6rKGi*rZ=T*q;aJD5_?m5|6E^ae=2B$6X4msQc(Y==S$l
z>`WX(I>=9pWiX@RfsOJH^nCQcY}+a~eZBjE;`+?cP{Z%H9fr|*@Sl%INA6o_=axlY
zSNo*A?16NOYV$PL&v`FDfE#*}U#xhVL0{w3tTwO0$>L6MOPn@r<AiS7vour52cgzm
zWz26Jy-|Rww)bg^IELH`CbHk3s8-VB8vjBVa>L2MP`DU??;{36!bnx}v=NPB+J8zC
z8vC^?5ql{|=vICFroKrh5r{Ic^|(Txa@sTh0&_C%q&HFdN-J?3?9ZTA8EFpwO5(P|
z+D`YwpL$?(-@t-ce6+NUSqCMWK=6yIPL)rT<?H)>cV2(yc0N{5QKrY^k$=#Fz$a_a
z5X`E~0EvE!kGD{oIy<c|oM_y1-VG)Ha^=<}@yA<SQq7r4&Ax{wRwNbr+J1Q?c4rTp
zt$9O*qvq%uFR?=L+#ZT&?23i6QiCc#gIFlW6jC<$^MgUMu}pyu)|tV}b?1@pS^D>7
zZ>=W`<Et9(x?w~-{`0zdIFsUw;h8+!vrNRS{Q-$?p_XdD+d&u^L)tNf-~&IKd-67i
zPVSKt{3Pbo`WUM2kd_a&iyF2Z6nO-qrG`PL2ho&AbP{B(6p9HE==y5gLk{k&;!D9&
zX)p$ih*}+F^3?~i;L$R$8P&S?8cxvZdRF(|b0ti6qVA|h@<mRT#8Ry>DzJKc_fbUw
zfbW)Xw41>jC*e;UE6SBh|2hQfi?i<kNclVJGK=u*S)(+0p^`>~x$X9O`KmPQ_$2Fn
zQf^neOs9<-TA(ijX?G<EeQn>n-fTQxT<8^^MBJc{Y<`?@bRVQ}S=#9imJv4c2Ig{i
zt?+I_zb9x6%WV`?JU{yx<pB53)T?ZXjfQ+UyS110@uu4OJlI#2=k0bf?|X!SONA<O
z&!c~(N_jSA?vIW010P3Av-Spt`V+9djAM5%91OFbd5V}~%Yzb9<U-+5pkcR>A@E%*
zVe$0ABmZ0GzvA88Hgt+<C0#E*jhb!Bd^p=C8Lo2dWROhI1fX!V6j#`&SC(%oXm9ey
zw{wKmNlB<M)EmN^xV7;e?KVleQQ0Vkh_hRR52h;C7@NMtpdYo~oEtufw?B50k2jj7
zl&Xq6^`BM5p7F1cfXJp~7k_C2@9ZbSoQ?KrGx`Ra+Q9|!xo4q*<xFY-Fx7RXb3Cqy
z`bd?2_QkC~YAmZi8>_GCT$i~QGLsWGaB%DJEjaZ6d8GlAr_39;`T|{eo%_Y`70_jT
z`zStm7{aoJ2}h6H1|4>%Es{5;!cWw6&sf=D5<);*DOG9GYWl7&=wF6X6SH(Qc9l=c
zu=0+*5%<?{Uz$$hN!a-17(>kD1KgGs<@GrSqFsuj1}n?N@nc$`>6!vI@dZyb0X#=M
zCNQnNOkkIwsJ80RY=P}bu<u@@sl!ysoZO}HzO*Nzez%|4F||2<<SZ7h|G1BAZL3^K
zOXG!#H$+zAAH^tUMpRHU<LE~gkJ4`Ox`dxYXZjjH#dRYH458>%cY4shP2X6TvpN>6
zr0&6g+F0PrVVxF7-i#z<@C%%1Y~kpdBEs}-WOGH;7$EP%i{OGTxg%h6mIS&OPWk(>
z6ejoX_&b>YD)jO?sJ9KOthW9}I4b8CSxKg}oq5_{$g^{1rhbWLS)jAgXyEcIRN7_p
z+jNS5=6(((dNb+88!O5d1=_W6>wTJ_gNd|7RrokNI;6X+Hv0Os{8tdDyYGHYr}EiO
zk7k0TI3c1*g8op?g40IXz+oaBcc-#QWa^y2BP9HW<}B_y1vl3t-NI=bUv)I8ASGD(
zsO%0w4PmamV(F@t#<>@`cosqo`TG7BHt-FO0|`RkD}wHw;G7Uttuq0yZof&Xd@s6k
zLU5d-0dyHPu2<{IF~kUR9Txe+Di{rZoYpas{=Fi~3W9jzyyIPC(^1V!j1jeuZsWF9
z<&@{Yh%tU*pjnEHe4d|J+?!XV2YHLHF~M?2*}RjiwsDoorWLwrXEOJUNW!Ciug`$f
zf%|Jx`W?EDVH>Q5jCn@L5}B)^S?d{**|Douo*qTr(Df?{%t4vg8yoWVi#NCF?cn1C
zJc=ti@M)F-54qjH4F4%Izf&w`t3*F-wFX<sRMril&NWY{y|il>P%>ymUkX0O7@Z2-
z-Afz><bG~DIqJ1(NWxmLeH}yUa}<47=Dm^|@Y~~za*?9cp!X9VxjOY^h>GfbwV6)U
zkKTsb$)>$*y7f?``S%hSJo%Uiv!Er$d2_g%Z-~{tPSPSfG?l}$D0HR!_j=aAyR5zQ
zAE5W8sR7UYX!#BL7Lp~ywYBx#a$|<Rv6M&L`FhZzZR|lnfd{msi79b(X<Wp#LWOL~
z)t{V<`lm|tqgF4_R$|>W<M+%d0RHBaJHmNW7My=H0aW35HhJ5Gc2j&R$6`jb092BQ
znfuYhOquo0c-!Wz+fo6*VJaeb3a~DSinEXDSm%z49D!`yG~amCR*`Y+pt&wiwc|qd
z#<|f^@mOm=ee~ZkHsCcqI&SZiBvqnqQcc%QHMuhNbTyI<veyTtZB<*|n7vaNdG%b2
zG6-yq7X(!y)W!7!8cQacQG|^^Qy9}suOK9Io~(LMfotc7pwMxSjjhNWI>!oGMdw^b
zi=6EymzU$Fp&`O%`T=h3b>1$Bf#_8O78s9q8D1JzGjh|>pznA0=+tk?SV|&xZe>XH
z<aWQb)R|n4(X5*R`fArYE47b&+F1#G!{Go0gP|vYK1N$mBl;M2nPQ$T96fWhNg#Je
zj5DLv;Azo7u|}FLKG1UUD(huMd)l_EY!hqb4O}SV5jq*!Gy(mN<R>um?jdFBzDVb<
zS=~d|+2*M3uM%s<F}$|)eGPWcTK9-FscyV>BzT4j>5$x#rX5NvlD;&cpN?{n=K?cs
z%aKXDtez#uu%oIc$re8S)G}GpHhNIFowGWB*~cdbU(EYi*vu-R8vRa3tlpx#{N|GA
zO_nDyBen1qu9LHOZ)3ka0^OLwgYO1f_dkC?5FD>Ob29+d0jT`!+JmGIkIbMl@ZNzX
z;<U8T{S&a!ihQ$h-Tvce%%vbep4JcEHNk3Mk?i?}{1cq{A}r;G9U%&;zyMug7;Rp^
zh^F12s&Wu!*;`R_m2y3pG)^Ah?9fCW%cjs&cIy>r5(hfw<}$H?Jn<uWVljgID>a<G
z4w?yzzaNYISeWwPb22#fgG4gT>(YJih>lPDEbbK@Uo=xw=PC6H7F?<TIVzVht9){D
zCO2t1@-)*`ce2ReRwp9(HN|mE1xG4HLx|3D?w?e)S^-uGB~*Xhhyit9w4l8D+GTK*
zHT=kq`wagTt@vViggDaGb1|)IbA2#GqF$9hs($?GBJR01kAitf=rrd>W&XhSzW^Vv
za)*DE09UAa;z}ka6KOfhs|B)sruje$;^O<0(bV=$Nt`h=uxveMn8Ui>OgSRdlXa4P
z<FBdB3zR!Qs{0``j81n^QJ9fq%<p>F1T8hYeAy%F<xbA5rHHK`rdQx9IAYsa<%xFI
zNv_0PQ!kbw)_hfJ7sZvxB|3OYV43)17+JSCiRtEZG4aQXwD2Jx1;fgqk-es<-VZ^&
zvC2DXe$&-1SS>kZA}&5-Q2I@a%T<c1FF>)M4el@1bd%L`b~<QAE^;o3hRzZA^O+V7
zQ|u29#lKeL{<+=s5^t+EUHZB1Ow#3uEuKuk%CdsA=eMlf-7e?O3DPcCVArKrri66g
z^JSlKkvf!ky-sEmZ=F0S;iBVwqiSDUkQei&GRsO=;uXIT{I*iIDpC-tA=r(o<z@fT
z{l_0*$8XLXdB1tHUi)9Af3`9<dVk2;%d^78Uh}M8UaP$`+W8qF&IcV?K&rG-GCVtr
zZBP|k`RG_n+O_tB9Q)%+KLPbt{Fda8GwI1x)h!la2i-0`^lQN)!f8IbwcrgCH3JY8
z;`dZsBiRz^q4E#8tm|2Z{7Mn{%50^*I+h%++NSvPja&`3f4}IfHBzSyPv_aska^FO
z|H7}&^w`J$Sxs?QVZQ&>;Qs1W%@oSl4t9=9wtEYl;K1xA#Ii@xCoQLF=5yUuc>?y~
zk=0+J*XYYxN>~m%A2a3W9Hvg%)917Iy|xwC{ZG72q~;i~8}lvqu-q`6x>C!jImHzT
z`_7`z2>ZU2$V6SNp#F2|o>J9YWXrFY>X!J~A-mXp*>J_Z0L~t=--5GR9smNqJZBRo
zj?}92qyRmJ5wJ6vkg7ZJR!x0VT!2-YV7F`z#dfXxn;x-~yb~i~#YBdR$G*<Fq8cwb
z`9y7+Uo}G6IKm)DzP6SAi$q3_#BcW(<PDfpgnid-u#JnPCpRjSGZKt@Ex66`uzWql
zYdy^CJFDa&t7Q9vI`=%s{5YSa?VfuF6*aVjcKne(E5)$3>p2ZL8ItOHX?9;F+)7(h
z?v3stl!MZGk)Q2p{zdb3weaM~0(R>H)56U=#luw5-WDv>)~2@j!x#Wi#%mJQ#q{{m
zBviQ4&Q*iVKNo}5f$^^$S)Ss=Af4~E*Y^uD_|zKtFg3Fhjk}*gJf1Ev<3HW~s3Lzp
zS^WjUx32t;4b9)z>|OlSO8oKo4^u}LVpbY>Otd7k^@3Q(W1b~&TK8CF?QwH+;{cf$
z=e61!HMF(FyeBM@d7u#32DUpT|K3rMvHSV-ecGv{T4{}zBwv#c?#=!br<D6fnugEu
zXTcY07v9lJ{6lOI+8!&x<-nnEW{zh3!p&%X_fN5GUI8NLXF>NA=#^Dalu$70UzAQb
zMxY%-g_N_``QmDuw<8g%nU+;_aTA=Tf8lD2jao9@%`ugvXz<}TuP!J=s$r-Qeu1Ut
zp>G)PM6P-$van6(ZBmB~JarNaXC8F{GiH}ObagO3=e?XX(wqP5S%8L`G0Yw0vzHxt
zBN%!*+Ke{r63>jE-|od($kD9v;_ii4`^X@lM@DazyxqSc)U5c#seUu8>qe`|Ym{F5
zqC>N6D^(^P_%+|NXB|}S?=ydUgxnqT+ASMWTnJqaPD(c2`s3j38yfwL@yF?@=g7#&
z3Ed63ypodFVEE(jf`S8yd!gzc9<}Qm8(Id+O^$+_*3Fi?5?=**RZx@gx*xf@3YQn=
zD&#+xi<Wb6D80PU$Y|T`akM%V8hrUqTYKg5ovv=;<vTEZ0lY)DV1nUrIG>lQ*N0Iq
z7}hj#qfzni_MyZ#oB6sTaGj9tgdh-IG&eW*wU1BZ_wRC2vpoDQDPm3)CaqVR+d35+
zn>|cM(UQImN`jm47?FNFA<PC<peqD7D$LETIXWCQZl1=t^E#HB_tj}4DZnU6zj~+D
z{^DagGP$CnqHS5Y_CNyPqR)WznN9xeuIZhxzuBK?DjMRz^l<LD0|i^#tsFNn(7eC7
zge^y)Uo`U#Qg$d?rQT;CO^StxZR`L&G|Po<LJ#HmUCuq9-IYk|GCw^)_ptcjLIwJ3
zJZ77GXg?>L4CSabzd{-cnD^E=;4g3+h&4-rnxx@`Iu#`QIVls3a=LWmOJsOiSy_;g
z*H$GNkgr1<d^v)}$84oHaa8JTvs`9Rf<Ck`ARs^(YN434?(}#(_sE%Ea^|`bSFnaB
zzp}5dZ!rrsjC^6g=W(k^$$%ag!eL>dyytQF;$N07m+6G#O<qrV9Mv_VD?a3t(Z;8<
zN1rf47(5Y;JAV8EH(zJhtJiaep+Gpe;}L2F_<$izb#*w`;B2opAuj1+Hq*OFw}WbN
ze2Hk>yUOxwZ3V%92reLuvH(y1`_lgw*gXIDC4~PTfaw4Jb-reCcSw2tI41Joch<Bo
zB4BV=lIQo5h1);OTVC<-MOy8>@(rxS1Jf^d&|*DnvJ<*aQ`1ni`W{YZ(~Ub?Gd@d4
zYGC6)BC;zN@3V?Kg5rHwwFdU<&clhRR8>{O+0k0C-lxs5)-fmA)yTC`(<j!p^;w0!
zi2srBf5iCT_{T(&s+rIq|A5EHV7YGFtRo?xrSTQg2HHWjA5e*vhd0ekOq?b)zj>ck
zRJ)QCK?7@Ig4Wj7YCU=Kgaj9Uy-mNt-9eR?%BBp}qyzRnUsxJHgpPwT%1zY{iyf;h
zx_+52*<duu?p!)W&cgOHl4?jZcu}NtRMtaiD%{sTR5v|3+KJ(8mCr2hsp08Ugo9nQ
zb8Qx21GtWG*q$nR*QVi15??rm8X`IKG$lOcqYiU*C!eoRN}~m0H-ll;idR0hJcTKT
zWZ_y(cBUzf+~4hfp)`8Sg1!pt{RKC&wXr$3NSAHD#;senbPLv-3J<_hW|ab-hJ8Zt
zLFj%MU$v3@{Ff0BDfi(Q6MARV2#1TYfB!y4%{nkSm4=<bfcsZNJ)a{Lq4{JC(%!Dt
z*4DoE_Ly7NTYxGcK67ww`|H=QA}2JKu5U}<zbg6pbDj_3AWQ|*1{c>biHLw->6iyr
zV&egMfLpOaEqu0N(ce}|s-#$6_y<FD?S~+C%BFlY*PI(ffvh8;*mkUB-kt>=B~MTN
zw!sWc@71{+8?I%&H7g=0*zgaS!{6`C!b`C9sSkp6Z;-xFGhaj?Mg2;Wb$=yFni;)v
zn?`tw9ZDl?6Um~6R0Bgz?JH2yD;A-hHa4&eFd{i#>f(5j=k}EEUKe{ki_`>IY)BRf
z3vM*yRS4(A#Kb}qaU!v}xOfwXWiX%l?$_HizA28Qfwynp29xne1|;`;g`u<s^z1ep
z7w?QCY@W%ml@F4t(R=F*(a67HgetO-8&g}IOuNm}m7^|{@O=`mbR#N8CMVB4SbMCe
z=G?eNOS7}tMyd8?p~aO|RWmZf;$mWAGW1qryyP}8%lY=<&pN-KG44cP<hK(O6A!WT
zW*3y3cELU1anSWK;1d*xne^mjuLyWf@Ws%Gj<KQiJb@~y&4%=)IL~F+oPan_FU4VY
zXRp1`<6u{skRHWX7v$yTC7g1ib4p7cnkuozg_WaTX-63wb-qELDb~<v-S?q+Q3o8i
zHOPv8{raUw`?{6mJ<a|oEJCVE54k?St;Rwg*xdZ$=j+waM6tgNMsd#g5ig;?RWnE=
za`fN79YW}6(2Jk?EVn(L(d2x!oi^Uwh`POoFcqGd?+V0Nox+HCRJ*AJ-s&vRwFai>
z#hX8PqIa(ZCH)jFA0dSu%LHbO7U=NSgcnpcUxEXBRcVD=CO|lPpMybpw-Y+$s{(K^
zcnZHxv{4C#^JSk9ZJ2nM6h<&(4?CR?VEpu3J1nhkLIS)2l<a1OKGyh=*@IC{*@qmQ
zoTnC0m$X$r54o#r#rhSRaLIv5kFCnl{&2)%x^M?~)V;WaIzIEvMNzi`<7VId;#MZ+
z(y(7Sv0OUhe#dPL*<g;n{;3iJZeuu4L+6xEht1l`iZfg;vmI_4>H(_(gRpt@t<4G>
zOY-u%Y%MLJ$_6pfWRs_VP5yrlB0$LO?!YgHBmvX2Py^3CHh?(vgaQ@?+nE}NMc?Md
z)-D$}H_Cj!*$vVDW>)gxS&8uSM<OCe1vhybN?NF#!m@hEga2BCP)gqs(KBVLDm_3B
z4=)J|3bFunN%_|P{w|ckm39@0LZO=L&$jDfzKHm)y83#qt3`;#-FH3m)G+l)#2<&-
zR^%}K^tZr5XkZ~}V4+VKs}&Pqp$}-}FAQ8z9@$n{SlE0ZK~Fn4JbdrFTqXd&v=6qn
zxTe`%6VrfJ6EH?t@`G(?ZL8i{75F-1sJfC;2#c+yl~o<f!?5iN)XX4o3hr5{(5sVg
zJ<$xm78Ln)jD1{md8rx(_Z#qbHa6bfdR{)()*JNAuwKoMgp5xc09$?93M~q^sB6*`
zSoT=?;#)*b{wrt~5R_zMeiPv)R1PfMR<~WZ@tY3e@e;}4<m6-zk|k|nPR^<l{I{o<
zSG;9Huu!CLL8TbsXc*rlgV$#1;<{F4Ma6-_>F7nWn~J7QCn*TF9_ih`6lbUGzv_S}
z!C5jQLPC7-<$E4!BBBnOf)DB5NKi!}5^b!`OAFN?z|Bk#U}c0`AF+$|NxD?6A&;Ku
zRXi4<kH9M<=|^37w$eXQT4n$Qd;*t#gvO~!?*5eqM(qTaOyCP_wx*}Cld|4YI~&#i
z2M8}f*!+pI%LSJcL(3x!?Luomw0*tp7dZxgI;=2*kGfR0C7@Jsf<HLGVtuud-K8Op
zd%PXAinWPO0f&19Dp)8j0!@#p`A9T*dJKZ!SrG0D_f^LJpzF8u))62B-j>oHLb-bH
z{{2d5w~OJ?6liHO>`1WDmb&jQ&_WAQ6L>4Y;;;(}4Uol@ZE1s2LmBT}yVWl|GcqD%
zW)S#-?YhDZQU~h4V4Aw>=|w~g-^wFs8LEh?e2pz}*j9?_)&sI?BT0H56<y4ZJK{@b
zX<-Bz_E15C-G&{FFr@_cY6lU?7eFZw9HV<<YYS&@ZTpFDr2$A%PN*v2;o-4d`nCW`
z<zxmX{$uXs*AVJt46e<5{d!dm4tPiE-nD&=rMS=j^}#hF(!YxiYF&gjn}K|sz&V}N
zsz@itj;XuOWYp7EZ7~d5I+;tKvs19biW{TFGM7p0t$I|YYh9KMX=U0*ol{{Ye}`mG
z?=(e(t&cazKjPxL5>Oeo`hTPrJWctD!3=~{!~gz8&H|{8sYIc-wi?#}q08nT&=&^e
zBlPRCK*21K>=NNdu~~q|#Y#0tfd^Cq!PcNS;Dae=!YQaoIieIaZyQvjwi6=fBJYoN
z@XP7qXJwh@U49qvt<<9?BJ`|z;wl_EV+$HDVaUtmMP?hM>d>L3i9Ye0uQKW<UB5c8
z9R=${M(BF_@j^9f!rjhpTmP%#HVE@g<2q;bi1g>6HwrA|GcAV;3-7}tvmYTGnpmKy
ziC+(!<{Jv|7<*rUS@aLh=}Z(r$^(kOAtWexAS5iD=9dAW>NZY?A<@62ERJs_AE#qK
zcxUnyuy_Q(i!jDVGuLlD*(fbMi|~;uyNyfem6ebb+ci{CV{!ipz$ycz+%7#YUO>B$
z>DMv+lgMz?45c(Dc$u`DS#gT$?OrqcX<Xrr&CM%=vrzb=C_~cRP9*VIhc_jlt^u=l
z<GFPm)3RQ{mpo=<)HGj@uaU?cx9%&lfv4jEiHkV)f=<G9Dr?E|GafZDQD+g*mV9dr
z<@2|R-hcK((5Hjv!C#?8KYu=&)jKQ50@W$coolpqA3lI~vqqA_)fNY!V^Ec-NexWa
zIHQprpyW@lsH|iKLLCi*A@x79m|(p^IGH5>L6F*J0gi^H?z*4f1Zj3sUr&!*MMcG9
z@Pl(OIErRvc`^<_IbRx)xC>^mmpx-F8Pq#_3uqV?Za%G<iw9w&`sU4`y7ks5>vVi_
z^4XCuBC&l8g=+({VlHKE`Opj9PO>gav<~&K%-W!VJ+KFAl3%2zkShj*+||{y@Y(sy
znfnxQNoaRp-xC{4OZ5ID$y=EqhlI&x-iAvvq19Q*GR}>VN0I|)ryXH5M`sTi`ROMU
zWd5gMm0$%E7oDQAsNpwQw&D&#v*aC}oEWUYjSl#F3(6dq6)iydrWD4<pyBxU!wX~t
zYaxht+?QOO_)}0+5`v<V|CDe1ldI_2uHpaG^#2=G^Z&c#|7qa=s0Nf(J1`IkZ6S!)
zsr?2z1b34Rd9Zh9ygvle$zM?kfrRo*=$X7HJ|~5=3|86CHmRvA!2ite$iinVLg(u}
zZ-Ccltka`@``Mssh)mywK#+vCTWeq1=11Vt;&2z{D21l1<6}7@h=N5$WlqlT-@kdO
zZp|=S24^X;EJG)rqB)?2gC7oZ&ahh&OBSIDJmIqhjOCx(=8HaxPU-0DdxgxFhHA2P
zr2N^J@K@H-(a|X~brc!%d*?^O$ZYz)J~o&y=SLwOfpuXfv+a5pc*qmQUpn3WH$mec
zD*Oe&6(?S*DUL2hy}Q9L0XJL}x%HL{d_~by5Nwbln%^)@e>@<{ydQI~0#)Zr!ha)?
zN<cLNP=pZ-b`eD;{`XD<kZ2vYDt+)@avZdz#W4q?@Re6gQMP$UF3!#kycYc_`JmEs
z;}FZBq<R@Z`3wc>{aPdB2ppwQH@*51sPe&V=u0Ms1Bq)8NZA`vTHpFC{D7X9wY)r{
z>L+Tv%uLB%l-7s~EkHp-hosBlChX({4UES^9g-%6wqU1ij0-1$_;df^r~(EdV@A_M
z*Fiqt4%P;D^#iPGFDS_G^IyGe)cyjTJigFRfUg8*Y|KE>@E>PE>H*Ab%o1R2>|e4J
zy&v<T1qwP(v4FxV6Tk9IWvDo)ZN6T86ztIU-2nB+1Roh0&_63`0`N{@A~iYD;B<n&
zV`^w-<^oxYFK%7|gk|+pdS{wI{$<>Tw=8lGrhTHzLSE}x!ABC<Dm}0t{(X{ae-Mks
z+TWhK<f{7sdNHYpf_;&#tu13|;r>tcIjX6iaT|3yfFtS`--<WX431R<Tq=|B=;)y`
zmkrb!Z^VEVY?qpBzab1Br+B)w4LH6ub#&CI>vIWA&Xt|@xl%8h5~_r8VX|KOl%zp2
zHieBdR8F7ZlN0n%HKn@d?Ccf!WD)!DFmwpSpU*MLws1*y*0q9f6f8d6!AnWsiyStF
z62{_vw7ZUQ>IesEMl?TE2wtUhTFSSw4TQHqV6_-&K%?TB`SqYS2WU}Ngd9_pmukg!
z42On!UC|i@RDjh-5eaAsvvP`xo^E=~=s|D8o9+d_lrDaxdXk@)XDQq<#RDpYb~-vb
z8PG**E}b+FJ;?_*uMhV*&-<HFwjIPA)hY5-FQ=*sd*6DC8=4;SlF68M#iJ<pAU8`E
zHF31Ov~=#hfhuf_jg9^C^L6fXqzLOF6>LV(08x+kppS6|)J#p_j>$o9+kxR`C>pb)
zN>DRngM+)cA)mCthxr3<;pTlwTI6AJ%<w9(gfH-h_4Rd*PtQ!|NCwM5<j&PJ+<{QZ
zQjDV%VdXs8g;HY86MB|5(u-ibU)hlm0iEEse5I>9o(>qsYTp_f8UkWDz<|P|Xa(3O
z4KMjLeW#4?K~laBR_LpH9@xs$?7yw3uBc>ot4nuKQR%Y}<+G1Fh`xArlhx2zLt}rk
zFIj{=TRGA3>qeb%wDXrr>?BYSL)>5Le5#khS3~36dS@T0q>5K|yG+YKlPrPC6j;hQ
z$%CDh$|kGr?IT_?jdG4ZKh6hj13&t8G0-)jkF0nD3fI|WKA4<k_jJd8LlD@{+S=P2
zi#*_qa0c`q-!=xs!uN~9!^7E6BR)(3mO<L^mrP{tX>PGu@2$6n08yUk^n_UJP@`!0
zVo#IFEg9IW%t0^KWu-c!;cG;Z<7@?mu^l$X%KFLKwuOS(TU%;YR#r0)gI}h3Y}c-y
z#!R8GmDSaLT~tGic_@bz8DI>{#RGMSNkM4Mv|?t{)`y9SyM-c1Y+My~N%crTxMTRp
zxbX#YdDp!`nmkx?#Lqmm8gxxZPvy@qTB)3zL}{D6B#p`V$yguqJ_W2tVCJg6F(@)p
zK^P&57Idv;V4)|qm00^6mE<bV$tv3@7^)Q1QM#aTb%kCMXU#@C$Fk6X=y;5#E80LQ
zmM!8uRR;knT{Yf37uaoVH{_$J_gnS$3)~qc)N}71J}B%Z69pgnEGYDSsw=S%pz%ul
z9SI1j0WU$Y-*P|No=$C(;-w`uHYqGzUt4p3|E(UeBv6!}ufO0i;{v~sA`fl=LsrQl
z{GC*lmFnizzzxJL^|``YEv5zs9g<mIG0ED#Q1|jWgUx?*FVDIeOS|PV*k#NQj?GW2
zbVpE%mSfe8JAZBl0*|OAtPbPL2LzjyPT%lRJCYb4T7+fvL2I5yj&D@CIj{fS1}Z0<
ziyDblmv^z>XN1Fz8#k`f1Oxo*dA+eYS&fP0Tam(v6zAsUohXRXraeV(gfE^KgXLpr
zdd3i-Wu(gx{8ClWvt99_=$GYy>(|gRAb0J9UYl_lN*X-hqy8)F`^AJt1W{mX8|c-|
z-Uw>5FaG_TGX{QJQ<PR(fR@xx1!<0O_#WhSF@y`{;^GPcn~S&qX)*gzMN{5}SlV$<
z>Tw86>Q78WRaYYadUtdrNSqcMiJEoC=;oYxL*}ZxW~%$LtF#qoo3;RhQN%-U%R=1D
zM|>urOB^K}r9;%ZWEInmM-cIJq%4XCO1N5Ykp=17_ryJERD5tFp3i(t)dJ{qAe7JT
zsMxJKD<_oi2;^$qZfS_;W?upyb9HuhwirlVWI=70U_S#=tH{SUj-NvcDv70oJelOW
z7Ea{UVT^YkgTPV+NmBu-+mSG!H~|Z-)kX3Iw$9Ce6t$5M7e8fbWJEKAz*kNccfkc;
zbfLXFe!gDY0A+BaTMdH&B+|B{t}vFryzy5dorgY`N~eXSC^}@L&i-NMDiLJ%Uv*y+
zSm$DsE%4AczxWMC>8#)~(7;JOFZ{l-K!#2@^b<LlY8JlO3$1NhX31~n&QnEtvyzG4
z(j|P%!-L@gnKu5QSf3p|1f$qG&IN8a28i>xV9KAe29!?0=4?DCW)!3Yygc>C(+tpU
z1JH2shJ$$OYy*O;#qY%eM7zmi2(|{zSz_=Dn?jr~<DIwVwv$x~Ae}++19{#Z^B<2n
zStA;x?|{e_{}N9Ep|+Hq(Bmkd045v+COr1-KuxqpK|2yWV22Hmxp;hfqXb##1}6rO
zmp<y3e%Qxk$r5I&6ldx&yY;s;daQq&g-9Wz1J(J+%z^RQ!ym>Ig7@zI_(ZPo4F-Mi
zS?JOAtBRI4&mTV_di<-I;TN}zq7ubprH`~_B`o2)8Dg_CS=3?V`g=_1{yh)eqL_}8
ze1s%&$}8Qge_!*g(w3FZ`loZTErZ8Wlx(6h8)A$_xp~&l<h%W@(+{(P=V?C$mApE+
zH3D?ZU;K0puf!%NDw~_aS5NoJ0HGZdBHwMllR1Lc%Fga0mv7|>toY1)ZXla$F8W=l
zLxI%Ass&qg@RDOKp6nW*9t9Q)lN!)V7Fen1xz*=f{pM^87J*y7SHDURIz4_Q7j*7D
zc^w~bU`ol31$U<A+k%XJe$VQ>%u-f4D}A82>YfkVx~bfA`BLh^T@DH@FI)Y02))N!
z*7{VbtPMnr@jWVs48K1YHTaV^@Ndx~JXqqnrvB;I19!%xZCeB8v;Ki)M|*;c`(u!X
z+PpmU(Ag0Nk3~0O9cZh)gDZvk+nXqPJ@5S0J1a%sS{FUnkTG*Ka;52$7(c2hE#<p5
ze1+)BryTyo-qJMfbEoO_F4OO`5&HlTk9dYC8ozaJCI!Qu^q%f&BlO66m%MC3q01D+
zpk0%=fM#N1E$%M1bt#Z~m9s~$Z!KdTs(a<*+P|NoJCo3+SCeDSGICu;)R{!Z%Js5A
zq`072nbYx<p5-Lfqr(nyMc?Z+7T}a>)Pg_JkGS8Nb~OapVH>a@rb$d=-YoF~rs%)n
z`z|C22NwJt&dWS@j<r)7(UJpFBa9)v=GBALPMnzC#RwT+{|t$B#AT<^d#Mx5??O#9
zA%ONN1ojBOed{elOQZf2(A&Ed9Cqe4Arh5W2K;4atL=>)zuT8G;aeP1Fv`Y&q;@8E
z#af@vTCERU1VWu(*m{ggAbpVk7EcLidAHd6?kA&4=PfMe<RkgD$lXM;xap4Cj)K|K
z#>l*{x42BlD`T0!E}jn7J}%?kuqufigJFozqZF20p4pk2F5Q^B_L{`|gZTS?(2HLk
zYYqvgus^%*oo;-u=_lXq=)aD=m^WeByHaU$peOxha;qa@5tVZ9F2|d4*McvWXWXdL
zs?VwGUN(g;{x9|Q_4iGS?F$<nHs}4MPuDUvMt*}!iKFSO6%Qt`pUHm?eQX#h#okL<
z_mUKrIF}*lc-Tlcbh!k9y@<j}uWT+m4nM`6?yl4EvF5ymFrbv2MCI()wvzEZTadJJ
z)ON2azf<_WUI!pHz7oDshbXX*?lSGaYS+8$NEzW0vb2j}z*knfo{ec#neiu5s>%04
z!WSh)u{-Uwi!JE7?LG}}o`BZ5cxo<j`%sVR(zGEYvWz&v>cmnjA^Yg<%Pjc0&E~AG
z7%IFGi}rnx{<`-EtWYO=(cSBKXWoqgV-2!xJpTk#%8!qWNxj=w7>kKP6q46fNzEtB
zA4F7(qtY6Nyd$1`6!Nchl?QFtNxrnjD;N^qj)uch1ii!xw{e~-SRu3&MH(vAklolQ
zMU((Mq_0I1*6X!DFxl*fr>Hfs3+7wNX(7|o*XIFSg4+>3<9(+5Hw6-VX9+iG5#u{O
z#utvW`^`F_aJY3WxwC>hJHqE4Tf@E#$p{HgO%4w`H%NSEr`;cO3i^b5CLZ0@kPl+&
z#=o&KDsUtFN|Y~Mg0oz=n&0WrEH$hM0>rz#NGMiu<j<O8SX^9OPhq98Dg5cm$osk(
z*xe{a{$zw+LfXK4I%}m#XFB^ZzEN}jM72;uXK_fL=5Jx};ivIEKJ;VY#BTq1F#_*w
z?hB^7pdI)Th3d6cQi%zOG(SDWr6cz{Hz2?!^32|POMDKHQr3g$V$Osbg2n15B`4!a
z-vZL)Wu4~J5ebXUpr|s<yF#j_+G2fueZ{;T=X@nrHj{3lBMs8!|La)*K8E9wVqX^?
z9`2njfICJYl8XrYuOeIQskRhP(9H7T-g_t0uR!|>6+vfXAjd=R*wWeAsjvr}MJBS#
zbcNrOvD;4y^Q{v53U+7*9<l)~%p`EWbk%xG*n}XHq@8Eku~q_$nZ>6Ak9_xo3ok_g
zfQZul!cS94Nh!Y)%Qko82Zj5C<KRl{&7uv`u+Y%+Fus-0jM0-WfEy3MAyzg3iHp*$
z_Ae_D5J2wi2M%n=r1595(bVn{H^H)tLFbiM*tx?fvjjiZj4uH=%9XRR3Woid3;2Ra
z!(T=kk;<aiCRpOru4TtnNV5O(Gp@`&H+tfW5h^D?Ktvkfw4aKhef~1*Aa%3!K|^zu
z6gnYi@e<3I%oiqrkzR)KNdQ`8fr+d>f+qXWlLo$(wg?cZ#pdTE6krI}|K)#Ci6-Vd
zmGz&h!=!wPcY-XvmM?sRf@nNj4EVarn{La?^s?KX<0^cN!3Y_o6GJ9qfASN?gEmCL
zW1YspUx<geelrVOzKIyKkGkm{NMdw&d<%@LobkF@a_!h_?s)|4F2_66$E_Cc@TA*R
zsK8*A3uo+N_~y#YC?3O2{8+uzoWHdmJQO&#NVT(B(Xd`sFHp1X(-KGFj<s)X3dxb*
zUI-DPPm06vFfpm?$w5eJZXE|8O25TK^x>rSXgo_A=zDc@aGrqk%GmVp3GGcRzWLy2
zRaHjeF2`Lmf@FU;LJ=>T?+U?V(gqRH`Vj7x30A5&LTmpeXcO{ofscq#liSXxjR<AG
zA50@Z8^{|bgD4k5&nf=FXEiAfqM$_AP7F!u>EGcoWc$4g;i^*udoqz;_m7&lH*)9#
z!TfZ~Hvu|JS#M=s2b4;%(^Pfoc&%n@g;(c)Ur4|3B^f2Kp5IXj4-9%TKrh~nA*Emb
z(65SBp(m79>G$v_DZ-2JMoa6yRGg80+{!g#vs#iKSnJg3KtCqHSI~m|$W$*ExIN}D
z(vEo;9@;WAKsUcTOZWay>)?(MDRI$~MzOc2x$m{8Zf)u7Gq$o@HCX*;6wm(Ii{>*w
zx9}m-IM;aVexBIojUTi)ZXX)RzwxfmkXFoHAl-AZb?7^oV4CF&zSc3r)2;el%DcIR
zg}%WbJ?CGq*&aSx&-@g;8iz3XG|M2_O))@geyM=`S$fZTqCf{3;_bFEuUbrHgmRnO
zBc^i9qnNo^t6_<;Po;iWvdI)w4xLB&hUIZt)`Wr`R|Go<KjXIf(!J*XU7N)%3!EQa
z5Vj}#DfCbOAsm$vlaldQID8yIWIsUnF5stMTN&*S;mtA^s8ngBJ#w1<Z2Dc(NvHks
zR_k^4DSZ34uDv<yCa-QVAMINVDXaS{)t9a%WK^aH4fp&_{|>Cz@=a{~(O`4Q*{ctf
zKWQKGo3l`(TiTsvkj6&e!e8-Dki}|vuU8IfG%3F{Z~Kqdv)p)t`7lIYQab^+3OA_8
z-!TM#i*O&4XWC@Hf2cv@>Y%#kf7+8nwj0YJ(;gM|$9u+}!bN2N(?+@kj^SmNXN-J+
zh=d>nd(~f|W&ZnpORE4x)6D~KX0aYOzujB2eg~j_!prj>?5`Eiw#niUsdkTmFJFzB
zyPw#LGJFninx-;JoV|A-R$yIh_8fLlK~axz1iF&(*<+OPSYT9>_Ubjol$*$WG9x=`
z*6zFeN^$l-f-}{hd4Jp{PTEht6$vG>%)dFLNyB(|H`STRjURj{f#)2r=HQ<7y6Ga?
zdqHSYYe8Y@Z>(=XwVTP!4sYTXD)+&%tH{bv(Y}es_zPY#sdK?*8Bz6ylS!&ot*N7R
zOuD)a7}Gcds^=wl*IU23mM^Mmf+tcmBb`>+BkE0^>u}iGOv&?&Rrll3f!(S3D45hT
z&C=$U<i|FdwHMl1rc$5D8`O6Te!A_bQ0>!qIKB$!<F@%;(jeseCwfzL<YJa#<)(~x
zfPpl^x_6@%BUEp3ko;XU5~;egO^bChSvqTB@*i=66{P8VbraB0m!40m`SnCFr1K8>
z5m^U)Om+K+vG(=p<^dc-3%7wUgfAz}tDZ9(|3O~Qq#*A95K+#pAy977f_V2t@^n&W
zXAzOUNU4VVl;ZRJ>5<pl)d$<n7a@uV-(ymOUI*xKCJC7aZA0w3?JaY!m*h!6nfN^{
zd(j7%pQ0hdn>(9`es<B`57xndKwY`R0Sg}`P+lLO;-XgC?r4+Nu1fQCq?D^?N*9pn
zY7f~6zIwwg-5}J1PVB7tfOM)4+q!HbCAvik@<Ehksm~F)H!~itwtdwgs8DJBEowmp
ze3+uw3I6Em+l2RL)L{jd`K;s#yfjv<Y)2ktvc^B$O4^bEe{R<4TUpH9)9>*5kfh9p
z4<2m=Y;FV(vY4HPKO_DyU8{}wSMKH-H}x&17Ma>Q=_H@<Y>hp1#HZHXLCQ(J)$-<c
zr$RX9{G8hNVC)mD?}s~8uWaNQJqkx{zI2^7ZMg))yB(D&deKI^AQmTyy@kWo!WtUD
zv_G4{TSiguCBDYN%Z-WG2{N9?7b<N)KU*9z9ll(0-06%S*ljeHY{TGre?Ix^WMaQS
zAu^RY-oV5<|41-Uhf~XSM|-aDWWEk7$|c$G$kUw#k<+}tv0EmGI=_C@Y#uK%2rwO~
zvV$d^{#NQnAlM#g&{W|omw}sZ&GbHsZ(e0rqh0#qF~hOkvPtNBtJZ!|)OaO6!p|^l
z5{#;Sz|qPDciY;wlS{FOSW+1hxT2As83G0(JI>480B|f$`UleI|AAln6UIeQTr(b!
z#~+i;fJ_DOFP2l{n13$wWIl1LlG{4WgK{7tT?R+ebe@^B*Ji=HePz4;f{zDA&f)S)
zH{+dCGZ}0)hM_2tCb?A8S#lHR<o4axI{EF8wi4&MOyV?MNukLA$^Ponrpyrh;{JH+
zWR2YqOLL|NmxiaTan1d5ca?!daoeb>;OA0wJtX{7d!LX2Xj@|I{vA`^8g*QnlX09*
zy^hHMv>V@J=nTlb8D$Ix^)$%44E?J#zg209%7ng?pIJ7OWLo|qXt9I6jk}BTC1<3&
z`LTWPtF9sa$DPh=&Auzwn!UEK4bVTF|M#Y6FvX0;q7(%$&t#=1rK_YBb&i=TwYZ=s
znvoy&p=7AJsD(*`iN8w+mRE}vTy>sw9Np&bA$b3YA)Y7wpVLq8x5tAQgx(uD%}<OB
zv2@&&j`-WnyS)5SR@gg9K!I5nI)ntXZl50bdmO&&*H75{&Dq8$wI6g>8pjYJ09UJd
zivpjR-4*7HLTY)ocR~t$3@_%@$;9b`a8GSHDAj**q$iih&C*GB!<r>}@zNfV2w%6{
z9sU-5QC_6d?3~M#TbqbEzxkyOe-D?BwoC3lldh%NtG6-K(@E<xgb;=#XZ~%IZaOzs
zb8==ODY@E4Ip%N%Iv;+d?sOR-Rg_+qH9klDaZ@U<a5hQlkMowEKI2|0EBN&lgWF3S
zy#4hkKuWC={VKfhKv8g$>Mc<U;hpO>6{A5pW3Bq(d@Rhq4@Bf^ZFHritRJEk<-bQG
z>E6;aNqoGC!~HtKKLJ3g-hV}H`m0d<m1EjA006nSV^?UuMi0WTIilg>=XUd1j#9O2
zxOFywRyoV_9U>4)!ehfW;t=)YDWtMi!H2NBr1#!WDr0uEc^2<-nEg7^k$i8I=vVWD
zFF?bpIx3r2Z%Cx;eh-a;+>JwTI$q3@AJS`FjCPk_`cf_5qv&cLZYJ-ysZ2v3zGoj%
z`<eC2n$V!4hScr+^YM*ywWjHw1d#DV54Us)s$LIZQ;JNXv-b|`zm7OrAw)!L-7FVU
zI!j|w3>_=J3}2hhOX~U7%>;8;>2B`8V{dcYJw2tqrQ=|-#AU-!bo7+}@;h(*tGAF&
zAX^Q}U-_G$v%uA?`pQYNvvxmvk>-})^VzxkGndR9W|kX8j7!p_#{?@m%+7)_7Y<I(
zhdzumLAZNP(mS?h<XF^`6uDX_;Z2dH{fNF@#?sdw#m}7R+P?M^CD%oZF5-tQ7HDx-
zM@cK)sggk6S2$T8r)gQDH>rr?DePj*Uqz{wYMiXwTr1D0H1`f%W;S)J^t_~@ib;*Z
zJX!2hFa*1R#_+YzqE}J(7#72}ELJ}*bC2FlWcw96_hsfh@C4nRXUZ!>H;?>vo9Kp%
zZSM=Y%~AC9^opekuq)H@<DFp%e<4Vef7{A7OLlL!XKI0vZKWV0@Z{YMZw3PWd6`Nu
zGB(6kHs2o@z-cvSC;r3qG%RuS4%_`FOV0J~c1vbP9n9+A6<2vq>mok;Qxb}j0@sox
z{opAya<#_W!^h#%4r%CqB)sAB3)z3#@6eXuNg#yDlv&qKdb~zPgFlA8b8;*D@CQN}
zNmn=XA5-4iq{S|lGh8w7Z|{4Pv`7#UC@yyO?WDF~$mkww5Kh4a*Ac%yBRgQI;G1a3
zr0Kn<$EW^ACZ5Ndk^Hg2=L%R#ajpR<VFAMkm96&KUAf}Jw<vOEisH2YkFl?gs&Wh3
zCj<lpgDz1dq)Vhj>6Y%2?&i>;0@83OX{Ecnk?!v9=Fp9P`*^?a_xEqDyOwv|d+vSr
z-tWxpXJ(#vp8W>15o1HObk}i@nfEN+1z@Il<`X_n2b?$+1db2n`*Zyn@7m7>WdkI-
zF@kovCvNoM(I_k1sXRBlj_z;i3lgJ^&UOJNEmghbjYIv8KkV~@GdsrG@V!yNW}_hb
zyN@J9JPT7u&Un%_rZvd3i;C@vN!wW)8sVZ6QZwNV+Xi(Uf_x41;meHUdjckv+6sPE
zKCCY5Y9eoAAHjfy9#atNc)#aV(byzPWlq~*q?;~9xatuc<Nc9rCHOB+R2dFyKH+TJ
zIbW1LQ>v9q(9KN6Mke72VH&|=1_#V$`xT_qV}@AVkY|tE&Dw{ijNG<0HP_nK+|LL3
zI8Qa<UPzS{wK6zii=fD&S@3>`KCIM45rq7GsQZ^cWzmlP4o~!cn*KC7<p)?=B!2)b
z>-`mC*N{$p^~A`tf+f_sQQ!W#>U65=I32?W2JjoP3v3-MZKP)a?7<{t%7lqnO0!)r
z!Z(L|kMjBdU{g$HykpDjs^j}>XQOkGoRppJUCm_vR+pkI)%T__*dH#BjB9S~>1_Yd
z%Aum3xO#)nAs);d46)mI%IQWF0Zcyfpjh(>Z20MP)%1(Yc(L1UCyvgqo$OIcgjZp3
z8>Exk1iZdNE1PnMeb`HBuduWbf@wTv)<)l$yH@pC4EWLQRU5tytAY(Y<#g&eQPF2#
ziryq_4+viq<G#c%CNVo@c=h}_?dxVOzb8WV?_0lQ=XRgSlvG)FR=5r(&9KH?G7(3O
ztvt-0RJA+$b+Twy13)iVCcJ4Lj8><wfYH4X-ME!inF;&VvV3<1-nU4H^wbh+hk;X;
z8b{G(qLdP!`a*JTz?-4@rhn!jw49398ivr-I-7z{SM=G-OICmFgxPd?4Q_O;caPS3
zMnle?ZpXN_!Nyr>h(0SpzNE`9#h(a<L41oUhd;x&gfm{_!4Vga3{)b$JWwW{CYzX6
zPOsq(?Htn2G<yWa!}E#2+dDEV8{abRVdz%knu7qIv9%VX37^&}@hxgS-xKi;$0Zt9
zd!{}?3t3gj?(9&&W0DZeG?F`-bFAjU2Dl=UNaJU$DK|mGnigOI%9~Opc_0mpdq?1Y
z&cij-@NYMK=XUOBrO#izumg~xj$?n_fE=@1TK>9+i0p4>zFX4D;q3kwe)3j(vG@d)
z2GK!<sVV{vzsfD^bF6%`TChsx_-1}Jq-}(64@~r0^Z<T26(!@mVbP7hcDO|yK4E+L
z{P{_%GlbgrY9r8eC}h3lIPn66$Z*agPHj=xkz-SsL<jHEpQ^xAT@*^h#Lpi*!}Fgb
zfa|C1zv$^@gr>Wx1GFnBC@OMIZ4oRn+3lyQJG+=yHc-9@1jagskPOYVs3tH!kD_zr
zI>vs5HA4DyM1%Z<>t_PNC2wJ}(z_2sT#zt1O58kwC2Cj4H`|-!Ci#tg?Po=nAr-ZC
zZ+k<CvTgMnOyQb6-v{vjDwUwtBY?=X7#2JE;6cq`6aE5gqr`kr;~cB0XB?;|7+szp
zYWT5oB5-w;{&M{2lNMb44u=Z=bTg11o$tm1IO<7o_u0ju>ld|6B5F1}Rnz2RCnL`g
zj;pbTyH4GIGJR|r?g8tBcT@Mr18z8pxjpvamfovgW7E5jH35os%6{9Ns{JC8VssT{
zb7i&RtA%bSYqB+?oC^mkd=$DTOl=L0Gf$JTRv=gx9Fu2=PU%nVj_w~FUaa0z6RaOl
z@!E}2Ho*52!~C}=$&bf3P9!o;q-Wi?ulwHVhiffMh&invP1UWmNah&-*oe4-Vb!E#
zL5a!3Lj5!FP5(A#)rQ#7C3tzvuJJ4UEaj-*k={+B+P~vi|3PXvGnSIcp>bV`;d`Tn
z_Y|ZMQNiP!3!$r62!vdQYoVkGUksmE2AiJzE;>KJa>WB-V4yU0m8-h8Of!9rq=0NV
zAe^iDe%Piq_@H$X+_!8Ejd%SuR(*n2!TXJlY{iDP`U=5YCv5lzp=WL`2Lj{$wQyt3
zj^)37|LVzz3i&Uld^}wmOI@!Y^(V3RWRFrk>);;K^8|y`i}#0^Z?<dX(8*+rN)Gjo
z;o`TXWRvgvsEK@-5=L=u@hi?&2B;Q}MSC#0&TT>_O>J==Rf&M<NXO=m>R&3lU2qLW
zHpb$`MXaq@fQC7&Cu=&KcnI|mJ2V=7B!|f+Jvx~w6!WT|GNGOEAQ+07ma0k{R;_C!
z2aUZGU@cC4v-RfuN^LvFB#&q5KK<&zxopddP*!_t+6)yIbleai9XEwH-1mKbj=93n
zEHB<3{*scbpI?<A5a`=G%G!%taZ5VB__c<)@Z`^m<v$<IPU5J=<xnknou$G|s6T#h
zWS<Z$?MnGT{Z#lx0>=`i>sNVZ6br<$GKBD>oa9p9{ZeO1FMG8C9)~)g&v(Zknc*YF
zfui56pR;~Rz$nQa{q}?_nSvYpa8jq`z@QOi@}&<N2%+>|UwKP2WcS;><2h7j)DK-h
zzmBhH2)4M^TI#%PlkHv>&SZ0q)~u?lID1NB$>DKj<bRJH&s0Fa2el%$7yFaY?8hXJ
z46ibBn@{NvHk@T_GO~X3p6>Uh`>167vsTg;!!xmsl0p%^xPje|qh=c(5Y()}>Frv5
zFD<1_B(Jaa3|?Ba*6pHX8|S;lWg$6>n9x6*0I?;Wsfby(`A1t~N$L8L+kdagL9zTR
z!Dp_guMQyUbLq1U<Hm;_JYBW`{(n^~1Lp9Ko75F8GGMgJLI;bk!kfX=xx>6C9=YnB
z{zA*N1%95<ODfkxRD>t*CUV>6@`6!y074L#Esfkr5gvM=o5mi#fJ+dAU_G`B)9*5c
z6(?$iEEk<(vySIBQ@1vrgzs@Y^7L5+VV}Yw(H%|o^8gmhoVvAP4siil1Q5$qkD<_3
z$1{regR!3<Ofm@PNmQh*G`ZxWm?49T+#}E1cRXYOzr-^Zydh>_Ft#!@+9<Fh`LX^V
zGEs8pYQpNL^HuNZ{@t~s?9n5sIj<T*B)Hi8L0VZ<q;FzJcJy`EDVH=mM`x4U1|dj+
zL*g=zx&4t>Q68n;6Y_hgU`o*q9niRnJD6^g=l?l6|L*UpU0<0h@$=ZlWrbajs-a-=
zKi3Mk1eo}E=-$p+OC}6rDg;19o9h~%uf5F$Jb-hHMr7(?7ovSf)m9x=sq(`a{e-j9
z=%06zloDtCD0Kl#wE`<Eec+FIC5QhbTb}GkFsGnEFYW3=1J4`3EF4cMAddh_llhK%
zSOZ^26_LoWo<|_(YZq*F*>#&T>quW7!SN^nn&x+Q{BbQqPp2UrDq}m81G4^HrrzbQ
z;|0CgOU0BW%FtQ)<HS*3xu4((B(kSdI4{$B=lxIkGb!N$!Z9(U*ekY!PlwGS^1iJ+
z2}ae9Gr}0$e^LuO{kIFrqn-voTp?+So<<%HRbGw7-N*a9Yob~MNj=z2ixs{i*|P`K
zt{#`DEQN@VZ?R4yZS(mzD5)q6+1<`0mqrsB^_12*fI-j_iGTGOn(?==WRswNe#-T;
zuO_`J;Ae^5o)3|ia1#F$03zg+ms?R8N)YTwXGRh}8CEG(zEf(St47aaT>7~DlQ>dJ
z^vB{O+nwD_^)Cp!i9ZEmOeEHBHi>_JjfyHM`+pYB<}!XmjqoIS^kv%p4IAUX`|k5P
zi9_A|E=+9_bZr!?9cLn(FE;||H9vQ>C%%R7s160m^1amj6Wr`4c)~;xwaeN-<6O6p
za1)3{H_Va&%8BqK+O;Sp`HlnNh(@@kut>i4(T?>E$)826=ZXr>2x*KUf1P;L{Q|kG
zaC7ziy)Dr8h>|4hS$yn5BxF5fENcH*QEqmw4%8>|h?eyS?{>**hv4Ve2F{Psbb~zG
zkS8I{{HDutRLFoDMp}5o1M1lBMDgGyDd&-SOnsKcZ`~%Gsw_ahwsIhAuMhgWU1Pr}
zu1qd0l8I|g@&oyD>fTOR94Rfscx3!{Yr>&D{(C$QSB|Zh)lVCH8h(n%4TC3PCARVQ
zuYtFNS;6s>$aKSUFBJ&LQ&jX5J6w9*jF!hGt|g7IN%Ii@o|wj^)~vL@{u!4Q{5^)E
zdjVYpaceTrTz1cUp^~k%j9$`I_?JOSh@pU_i+)PHK~Qr3tn~5alWsp0gsRti_R(kw
z24#^E{qfTZBuv^OS#4h5!7l!HLs3g@@n84}Kortg$~Vr|Wof+ymo-*Rso~p04IqAV
z`f;|ch_Dz51pf=Nd^JIwC#B}z!EquiEwoRz$R{#&`$i9pHIT(IdPN48QoP_10pvu_
zX$LlBqxv7%XMX{p48N6B^nsIxyUBakRx<`HPqHbMfT~pGG@i+q&eBV=e-0$-f-Uar
zcW*bipjqUa09Php$frL-k2Epba5RK{m6-j}X<lh#kmw;Cwg+>6{lX4Z5QI<A)EH-c
zC_(l1-$fCH5$~iIk%jXL?_zwB@Pa2jAJWyx<*yhXr&jJ|SC<1|Qco`O8&2di{qrAn
zTp5O2GG`3|0JT5ABzUn)&mGx-R(K>P4IcHVgpty9KX&CpW(H<AJBCVZfl-kQbVSe2
zv2?fo1v$lE?k*hq16rr;7i9LKO!0hbB&TJWS)Zue+g2ayBk`V}s4uS|tqh;GSMcI+
z@t6$-n~iM#76pMPZRYU&(5)z*H7GfBmf>3ib}M17S`ex{%0qy3{NyMuc>%j2`sW)h
zcQlX2Fd1OtbaEpQ`e$fn(*8XiUzHACRT!&ShK^iYWie(rLq$b8NWhJSu!5#OgG;4T
zu+VEIHH`{9mvmYG@NQ?mX%66NxrGBt*I{or;vdM7q1Pwe^~jqXE&F!8Yv`RFUW6|*
zA!dR9u5$^L*=7&)xP3%Yc1?UCDe+cQ^=Vz+=C&VKqmJU&*B;<z3f*0F#F{xn{OBF%
zY|UfhZeU>etvKN0%_72-TV$#qF(~hGKd*>hk*zN36I6B!7+ZBD15l-V;e?t5yURPY
z`PY8aKgXr><KP;)BjjDyPR@J%@=~@eVxaoS>0ABD*_q3iRY7?4j>?Z&R0%1AYz3ND
zcB9{Nunys%zIUMt9@f}e=Y+^rhe*)=NO@%YD)W(T5b#A5%>A8QW|=7#^@hNM71{qx
z&$t-kN^i$1G_qZ4A!ij#)`8j88W7%bjcRF|4S^&<fKG_=o8=<V?J>0Wy$Oq=O=V{9
zg%MXXNQ6xbzHfvcA~T<YYFqE1+?Q#44D_V{;z=EPj&MIlOvM3td9LpZk}k(4C7<Eq
zs%+JD%YnU3oPye*ggL^QR7AdE^ll0@I6fnQb?Bd!E2`XH79!Yu8%?qy;l(jKD!$sY
zye~}9a&nwo{i@y2Fa+KeH7Bp>TvrW7D{FwVvh<l$6sw&L1S&c>x;9u7MdqHvLkDu#
z9!Yca8FU6Dkoz-Ojmcyx!VTTK#;y-S)g(;d0rFP~=Tg)p5`6~Fip)CjKPpI-?mV4R
zSIFQU@A+QQ4{`x&R%vwIL`3Lw@?zq`SO)N6jzno?R;_n!lYcWmObM=#B_by=Y)3i(
zip>dUYwOaaSw^Br*ah48oZ1zT3g`H^rJ(NvnFk|Ptzv`^q`KqT4q{mygfs61HIlpc
zvTTnr;I@#ep+m1mjw$m%c@pP$acHlKKiyk#iDh*4WV~Yff{6uwDPgunCHc9-fj)Q8
z2rjQgo;oz|H4*IqX_9=(-$8hIP#gug3$c+#kk3&Usigosi2CJaS#{A4YOb-_xk<Hz
zdBWnOk~rcRG-S(p3k|jV*8yI5emO_R+oek)a8y@4x}}{Fra8ECpo8~<fjrzVEJbv>
zaOw}r^b-iY!X<&i`=S<40vVK|oWeN;;$Kv}QxbOf{QWsV=*R`6Mci?-vd2?qsJ7f1
ztTbI3WSyMZ2QI0+w>1Z(s;~LM6Wm^}F9c9M9!Uw$4c8~K2u2Gbfdw3g;U`>q{~s6N
zNv?7{fOhi&wWI@<29-}*1LPK;F&cNZa-ZRZs#%nlq}!TR1ilVxY%Qd6ozySlW9*#(
zsZlyp>Xde$UljAWqkP{#(39D5j$MrCj_4VlP@AmK*GF`=_Q=b>|62&~%`kX6p^R^7
zH;YmWAYD-|UwBNeQODnV#W?bx+t{)VaZpxE^rdg$ofjQ-z1?QcZzuX|Ju9>_!Z~Yy
z#rL!wZplystbpGRoyLqDB1m+Ldd0uJ1KGFmiq_aJncUH$;k8J`54Wf_2D6Wzd3%4A
zrZuP6G^C{P4+=R$f3&;@P-UkHV_U&(!)8$vQ^yq5g{bKA;75m}mMAi9*uP5PTGP^M
zQ7b;7EH;y^3c<0%^djLe+Lr@Q$GLKsetz%S-6P6vOZ>gPOLS<DBp~~Zo}k!}tA<`f
zS+4z_9Kcm~qG*Yw11eX;{1&aF#Ptulm5r%8*P+Sp0s?o)=2rg&=(S&|O-$5R(>JU6
zb*%TrOsf4Uh(kwGp(QKjjb9Fq&YD6cMKTXiYEjG(C8kk#qzam3>m;X9)faFFpX!93
zy?%dH@G{R;j@@-LGc(=0Sbdab>0RfGj+uyYUOP@L2nx-z*1y<%+-vEVg>X_D;V;Ya
z5)Dj&d45@DA$Kxnu>JM?$qp9&b8fsQkFBq6ZxB%5J5f%k70DD?M&Mv=(KOFa8jabW
z0@Xwl+BQpH<**lxu@uBkZlkBDbNe6HNy6O7XqP#~pK5{&R1wep=&|A8{8@X|VO8$t
zM`MlA7bGoZPtP9zfc*3JS++V}KZMrbU2iY?qGA|ZEV&x!S)1EdRc}!VTnVCj7^qy=
z4Fm;J4%KkMzw=Qbvz)gKf$<c#Z8VF!99NxR4bL6e0W&_4cy;YwT7<Bx?(0U&5ncQ)
z9C>?4UcXEJTDL#^*BKwsqRzZOKdQs6ee!CBr_frd=+=RghKQKC%mDrKq4>^h0d~b&
zf`;VpEDPoE%ojxZ#+ISrR>MKZ^^T=zwRtJ&6GkR1-4r4R&dx-6n4gw~6Xa3@AsJQK
zv3Vdh>09e^<Gxb>-fn--4~nI5;6M#g^RCTi6zeJB)2HIH)cs=jn&9&g#q|aWKbA!P
zTp_rrm3?Z`Il8}U*X2jKIg3`fFqlSHEWhEkBbYuaK4anm8%ucJ*3OBH?px>lI?-bC
zQw_8zQAx{FPB1XTZ}DG*c@J$)@@0azzSFmMKoF_}INB6K)y=8C)O)!o-54T~KMNk!
zFn)_r;Pkqs{RUGhxrRl>2@R8AAS{$i@HMYpNTLHACVmHbVC%kt)7Vjc^;~Znv+=OK
z{@E8wo92T=4vq4!O-o`_6pCxbWEO45@i(ghLtNpb4)IcBaddQ(2#DI-y6%^I#We%<
z8j{Di+FrgYD9B_N2JTbu$|-Reizo5X&g77`OpVZNsT-u#{D5t24sgL*Up(5e35JH6
zRjG1Fh}{=jrr8nK1X>30HUY_=%#E;_D+C32O9}W&1Tr+C^cTC_J1$k1_VVCXoEmqM
zDCIXCzoF&?c4R|)5_Xe&Vsm@c@3iueZIG9Tcgb9N=L7fo|7pU?O@c~;5V`L#Yhh}E
z80(~wWOl%m(ObdL)t6qM*kgh0_b<p*oe*>AOXlg}5D(JGff$g}n|s@vyPug_kuPj$
z2r0$_iUU#f<GWfrg<ygb2?D*x2$U>a%=Tj5a?2xR=UAK`cp2arlb=}H)uoiVSV(JG
zd`F#lo1I9guLObGHGhZ%0gTVSA?HKT_n1ULUJ2F8RcUsRv+@kcQO=a1=qQi-s3P^%
z@QB1(f}V{R{<P_5XO6v49^FO?SuKl?>6~AxY<;8tQt{S?SVK%3gW+noaze`^S)ktt
zSSqTO`HkKj7<XjV3^L(aH;4ma=U5L>0Iz{GO=cZSKOS)+U~#P@O}Vtnx+)U`OVXO&
zPx#7LWl%8z576fd&A;E&+1Zn+6-$lJJ|k+OCM;ULa@W2B#m%MS26*Y7%51xoy#MaB
zox{=aS|>$HwLpfiC$UcS!nNpuWtKmrDMUgfQ$(9{<Xai6=jrgCL?~x&Oz;*@z!`q_
zG2W8xnPRyxrz>%cGFD1#f1xyJ!)Zir>~VxS<-F+}ocXB!C#H2ZZH)Ig$7(SP;~YFN
zYppJW69E(9#dC7ZL<#^QV{JB*2_3uo?L^D!hR4_oDWWM97sG$d`)PvCXzsP6V!jZ?
z!Fpjhdf;!~9WwP@6+T6NK(iPIox!0)xv`4+pqt%vqNZovKjtNGyhT8RN^|TL;0~0f
z>R_plr;!(@#kaEZ@Tu`4TOG+g$K2dM8I#rD5V*Z_4tq^8nP+RpE*d5=4WXp=X;#ie
z2~*%9!NA%^Caj2$_mR*sHx}F7kOqL-Wp*NEBY!e%peV@>Qi0sR-Gl9w`p>B4L1@@R
zx%WY#MA*vySV>*gBPIs$GbX_#9;5iC!%G{_2Kf7OO^26V(azdq9Y3#gwr187g0T3(
zx+i{_Ev-FJ;AgKTTQsl_Xw>)XS~CT*ct*>&bTZhjs-ABIDM3S$-ve2<6G%uZ#)48F
z&H+6lDcVqS4&F7J0^Qzr@=b3#<0U>o>7YC((t+7V^A}hBQAUBvq<T^PjZWYhL3Y<Z
zvsU$JjcHDef+Q6ne@MwW^0i8<WzWteyxO6^4-RN;jBbryHoi-(XbgpK$-?UB${^*n
znA&;;AI=*%D2`Un7z$va*9=ijBNpfa&IiAI*+Pnmjyg_3@aP(<B`!dB=J1}9uVuA?
zjg={w1OuiBG}I5&yNh+ld+yJ_Q8R_uJ1l2HR%|9q;epVAG0f+SF`kg@NOxZy&w1ZT
zk#&KwT>hu#H=&k--Qm9~;U_o1XK5FKjriKPIN))@H{yccTv1sCp3@6g#t+&J@t`we
zn*o)|d{h!sS-NZh+!Dlig6R@g!ZRLhvfJ1HFlZVmoOITk)Z$qEirecdcC}AYi6US@
zt#+D@`i?s^yQP0<s{C16gih1tZ3rs?(jzbIecqUcXrMyAD}`I)yN7i3HNTsFTozrI
z7Bj&$l3p!GV^mXEVf?6$@a}IU+5Ow5uf38k@EUIP=rU}D{N~v+#2vH8>@<0^5^Pnz
zww1e@tz-=YrOC1@K|1i5%O(s`HU!Yo8BQjk*-$g&NZ3KSaAoxofu*W>0B<6ta?P>=
z#caT=VAhDrE;jjyQyp(`;4{i=m!(z)s-4O);>5ZU#yFuvVmt+JR-Hu@#nueSx0$8b
zyycg)<zYXG`@c(UqF=+1_Vk?;6|Xu@zfhp$<)&5e1n-^jT*|?b3qh1JF?i0w#N@Tx
zN$|V<Ig1dOFURKrQ()V{hvZi0?}WgP9I6e?Xn%lm5~mB*<2&cRw=_9a&(}gP(~bKA
z7A<1vDe&O<x^&*aiEV6FM{*?HBcTJ_{VAOnu3<MZdnbKPqqFrfRNbw?+^o9wY_f)h
zwS`Gd#M?bSQDmM87IX0Unwir6+~G1BRB=+U40!h1b;YTSEi|M<hXQ_Ey%&@_8n1uO
zOo8_caJq~^;+|a;H&-gf-h=xjc`-IwJ!1MgAhscL_a`ucDv^%vO?qO$l?xwcyyv0u
zi-3~dQZzNp^F4tZb*Or~U(^SERyawZOgf8b;~gPa4!s<m=G&s!Hty3`Nq1h+htw2`
zr%xbAgK*%Hl|T$GDTh@E);8YsdX-g%ZA2eouQ_m_zEs3GBa2!KmBcua(rak~!(?(O
znJ44J!>tamgM<OIiimhb(AqHmV9}@$*F$?+hfTmxNdHG?PDXlN&ke4lXx@vhGc<ED
z=KN&ag(if=FGMDfY0vbbG2Oj!reSBk;&+8_CdE#n4xJcSF5u3=f5l8;;k(GUaINyM
zdj;Q<lQsFmx3Y%QcJ}Q~N%^;aln#3q?Mz7olp)nKoE2UxqNym96b||BN0NRI`rfrB
zHlZTwAul#I7%hUs<J-y~mDR}?yevruw7aZw!W}vBT6ftuht9v!nP(i!w$RS88~sw7
z=)ytEA36<)0oXps*9i4v266Ai`LU(w1{ajS<AH!iLV9LjjaB7=ANjo}?=k5t*1I+{
z^8jPUGFq2s+}Oz51M;6p=<>Tm{t5#>%8^3X&69{~-En9Ix5(og%$o(4u7wXPy(Qxf
zrp@suz`SF=kqMh8FA#u2qwqip(+Zp6)IiuMDRa!Y)XE&%?rcHc8inG^a^z{>MeK|$
zqW5|4z9v(HGQyv9_~8}ok~EHv|ID-k1ftk}A#txC1!_4Vyj;jutsBkqu#vF*L3&UL
zqHidOOMXC#lk-jd*)JNhf6QI48JiGQa!7hfAlEWPdE8+QYUmUWAFCHr5ZQl_7h9H4
z6^}h(!`e&te(!|OQB}3oWEA)w_)!c!RZZp^sN-wlQ-W?N*{aa0nm}k7<izeaZ3j>e
zj6K24S5dqj&T=h)1}}?}GHEEv&y>)Ku~kqY1`c8>idJ+CChaUb=D{PL%n-5mm2ha0
zOK-<lhTaKR(r9HU%I@REF#l6^fzq^W+uGUwADQ=n=A@DVvKo~F;$5@H1hz|G?7f9t
zj*au3K^0iV0Kiqh5mVnm1c7e5Q7F%g=Yt~9S-@N=FR#kA$?Ek=whYt+P*TL`#q2K<
zUugs+f%dvZNfkEeuCczbX>vWWkGC|=<&No0Jw4Z~4Miuoo$_Ct@+Q~3>U6_Y0$HBk
zU(J;aBQ(MG%T@QM?Vw|kpaHI_OivHLBGB`}#Gf1`R3cJN&?(sNG9xbO))F7`{upK_
znz>;`uKRc)mE2}W<`d3@c&v<I8faD-1pgHDxob@p?IW8IdB?3Fbu6W_m;2Q5BJrK0
zVkc+EfV6%1pHKad09%d%ydfOdwGS&82!<>7qO_XPiKG-2!>j>}i@hf#M{%;(Y3?C4
z3PIm-cLArQ*9+-!`woYZnwL><iin&J!^V0einAzt$6)_1Sz~W|WM(M*B<T+zb*>8h
z0A~ji_x%u)IRXVX?DF-?olIr`Clr}nu<y88PG9|q|83@Q)rdknr?{GTiJQO**tK<M
zA;kTJcdFG-ZBCgeo<~vm(cHBaqk=;Jdlza2Yt#gD#-LaGyulG+TV9}Qx2hwe$OKMv
z&qUuqDF$37k_621RgD2rJ3f(Q>f1VYz*xrh0c{w$?#_?i;C#*r(9zs3q>h5G=JtMf
z4hEBw9_4`c4BS*g7p-p3?(LKy>1Ml)Jp-C!q{aqH2F(d=r@jt2Y<Pe_={xtY<XT~3
z!<fyI5O2e>oNoIwEv5aBq@EB6AGp>>SN1DAUZAH{wsG_YHw8=TNNSfWqX{$`WdeL*
z>*rVdJfb3vqr5*lSg%;$>p?W6u@XQN^k-)Nk5Ttw#-NWxMUT5YQ$gE`xg9!|jYAW~
z8qQjnNU|P`ht<*UFSo`t)fi?P@rRxl72k~rT*W<-yR-XaW7qa9K9ArJ1NAaDOvUTP
z-v_nQuC*ti%0fvo*+(3DgD|7&t2{A0SFKs{6-xJR?lGq*9ghq0#F#IK-depMwe6c|
z#jHmqJ!kJG9=Y!Jq2hB+huXd~VVv@eKNv}xSk(Zu6J4Jc;gvj(RvWa|)@&3>DoB<Q
zV6lMg8{fJNmI*Qhcz6Uba0l;3g}J#bNxnE^?8zDyh$Sab9*ZyjxFTrc$v%Ki%suO^
zm;!(&H)`5GNLq%dr1ydzbqUBYekg@e9d~ff2sDn&KL(tU@NVLlaxf$h9q;}+9rSwQ
zi5o2`EmPqiqJ#d4UzxgYGEL}$dJ21wG(wF*GTHp*1I1dB)zc^<0<2o?^32po!L;Uz
zeil!^RKG+?NK8KX{HljiGx|fZW{UTcXc;#qWWxibT&mW(pj^d0%MU})O(M5BkQrGd
zOff=>8Y}bGO}<V1xIRxE&XqQC6Zd_f7Tm5qUN0Ua19p<eOfE@=A~8VU@eFy)OvaUf
zgTm{6G&06O3)r$o7$4Hww@@URv|}g^m{SM)tpR5Sb}-|Wor4IPPaDQ)wn!e*-mWGd
z)+eD7QP6FW2M|!B*ZL<&Z9C|1@Ta0uQN#i+P=jw4;1tC>*1s@hoDz`|h7(for}5&S
z%zk`zPE>t_Ay=KI{1i^~{-mV?f-@(ZppFyGba`^}8DsfZ;q!&)Q+TGF=iVed@5}oS
zGs8)ogpoaYLH?c~#h{ZbUH}~N;r2-IDbfY@Ve7FJp>?Cz(ihwhX^K>e?jX4Ydq~e^
zI9G)>qg9QG3Zd&pMZY*FdGAa!TVENjp8F}H7omjO?i$R3(#@g<oM^UvceHB#gYL6-
zf7$0#Ln_m@w0e$;AEt2sVv`)b<}HO6L^CO@$+g4F+5zRYns9fn)yU(!Yd#0j8i+wM
z0=<^5=)+;2+HQ~GUk~6`QhwB~;u!>}C;2xG{e`}O&`PgQ4!o?k8uVR)176+k^29#|
zFU5amCShVsk=BELyTeR6ES8}1QJZJ@L9wcB#*3)nQAc@<z+pC3NKFybKskPqXVlnq
z97aVJFNb%&>1@E?-lt>BC8T<I<4Md8!Jgp;I$Dfs#d6V---25zUs$$Cxg5i0St}<B
zu7R^-z!SN3PsHzV3cr=^r*{RynW04Ria@V~!KOKT*A--sl!+q8+OZ{~brsDQ8y-Al
z7xNqFH#0I`4}jtzoCG+~9tQb3X=@*=2=@7o>bC%sj$$_orc$Rd2?7(1sSmh=bltB8
zuIK=VG4B&^;2Tm_AG87g(U5UWg6UO9Ctc>)b{H|7G+@>^dPs+~g~%w17d1WxZAPwr
z+`7%9UCX61v7nI2=fo*CJEIY^(YXXN;s%i0@MX!fMD6PTY!VolEErFo)z$KJ(DxOP
zIcnJ<yC;Nq#|X0kHVy{7P~^G@#C-(N>jPAQ=coG<a&+<x8xEuC%J$pG{pfsE(iJg4
zK=>Sc@o}So;6nK;g+@i8%t8i>aEGnN>uc2hv?#L1*@o{O^z|6e62yuP)u)Kp6P?2V
zr3P;}-GNm*g#GkQIkJzii(ON^eeidQ1drO2L;Vs|yC>SUwc&F?1rj23Qh-Rcb!0S(
z?}0qq)^ZFOR<!c7ewHkk4{*-(wQG@W6k8P_t4`u1?JtSJMl2hH#T$PCe}4iH!c^6?
z!(hEwoQXxSX)+-TGfK0l%Zgqvws!lF!6FkrXsE}N9U#NKap;~>cJG=|MPJv;b&Y{)
zfVUUBu@5v7GaHQpna~``4P#vh-ivCCrbCw$iByM!$||p~W@ixH1FPK#q6XdrH#GS)
z11oQSGgMtA3pTi#_G!8|8D;AOcIbWR(yyAb!=q4BKd?u)9g-OY&$oiwpzeI{)Y0xM
zVlrJWgVj$>X*9s%CF}!ADgc$;qB0}j5w)U?s1le6n`+BWW;zh6FTc$3xNjWMKWI9~
z(q1!GXY+u6DuJ@vx)Zu|xSz;X(G+K9_faqMN!R6ieakD}Ya(|v=ASKkK1skcM*(%v
z??&qtLPpi{boHcMS+s;ds~u=F=yVd4PI-TJGD-d3!+MTo)vd_oT}}A~K$IZEn8jEO
z!<B;@bWp*(VH7C5c`|>Mya}Gn8zb@}K@@RWJ#48eEV+f{;-0FC$&M<3`ONON8?e5j
zQau!3`qP0@MW!j2+|UCW0~P{EYu^vco2^ADQz0kw3QB6_?;uUh$VZda_OzFRsuuWE
zXk}2{QP7YbqV)oV9&I)4kMf!6|L}kCmMdsdeu=*0n{9}9BZ?p311HY6LfGDT%M#CQ
zyV9p(4hVlI4LEXa^`(u#@AO7FU7vb+sJh}6eE;qWz8@n0J1UPDf=GcF52EO*qcbth
zWIwCj(r;YGpfXH#>1PAmJM)geYNCQ9BxmeBVh%>U^#Aa*<TWw9bH7)1P@_u*Gz!h+
z^yci5BO3Ih_#Lu?V>YG)je53cC+c*2riP|pme>=y8|WqJcz$hbKJKS4t%F68-D7xt
zjnDJ^3W8Nx0J8X%{(wJ1a~aO1S!;@gcvLWm{lJ|8CNKPs@!<%zOIAMvIszSrVBwJ=
z-XuGNwwep1oA>^Sb@Y?%FdlHVg}ctgFHeN7_U}C?)y2GhLHpc$8W2`~$I_2$mo@r<
z^nR$LWrR`vk6+-p;49vl?k(?SdtE8ebrf~UB_HTFaMHMq^QYajM2d#JQ55wIUtQ~T
ze%Bdda!Py$IY06)11Hc^IM01R0}3YZudMZ-hYnpX&m;geixj&MYk~8RTCTT%oQpjD
zzy=D5p!;VM@S>3-s|!wf1ovKbiM5HW7UOE`H^E7&)~3o#9~oFH{S5bk;1E3s+T8uv
z3kZ#X!dk$tpzWwE(sivJD2*?l%SqVE^*6rBBO;=p_)PH6pHz1C1WH+$d1CY@DO%jO
z4)nzYOmXCoFWC@BUse8Gp)1Ti*voIZD7RG8QJcOv6_!HTNPqSCLuV!mVr=0TCW=_C
zUqa^6NixJ^?`6jqwj7#U1Wm@W&7s+cl<WzOsS)BY`5lK6V4l>w+-Z&i+sUvi0!{C;
z*jb>I`?lU;vte>okUqgy0z*nslIv#=ZQjwb?}^1nzk*I0c{Q%unjR16!iJ%y%UO(7
zm;XRUE9OS&@5qet2)fZt)1isFZrRa|^aq={lsAUnh2a|on$@QkM>{CKeC79B^i+;Y
zuzn?anjK2HPktZ31b%|SwCp}w59Tkm(4(pH*tFiy>Ih<Ulk}z*H~GBAgG$gv-tQBQ
z37z%l=Zdj$cFa#$@>qU~(#R{ljcg8E+;bx0&o5{Z<Zg(19sTwg$<TM7kW5cC^J%g|
zHYT<w-xVQ|V-B53W9BBkpa^*r_yAX@ZjVh;P$6Fp75=*#a(>zdRzyRgR@VCC4s*~1
zUTse3@|0IAzJ1v(E|jX_WawAicykt<G)?K@3_F0@35Cd|7CUaqsYbR*_%&tYp<OiJ
zjNf4&{c-8Utc~W3DD6h>diKWr^8BNYgGC+_pS|Yak1)R8d+m~8^@7cUIH@?@Y%l;t
z!~2X)!=q%Z+pJrLd1BU)CP%sn0lUjS^Dn#Y-k%5~tvjM7-P@nVx7amp$T#}45%`uC
zE20_?@tNS06XAi~3aN8Hc9Y!C4s9QZ5xR1Ss9rbO{&7ON)VX(UAbpUV<cu?6XEH)X
z(bZ>Q8!I$7__r7?`^0SA!>gUqJZRDQsfy27c@p!_5ljTbj@W|YXr~Cph`9Y7bAKM#
zb)Ewu9x4}QmxSqHLLqxZ>I~%QZj(ST&zO@erK%NyG@-!THMF>~PPI$#&2H_|Y();i
z-dEFskuMrJcy>Jrt)Kd+11in_RC+;9HB*W|twd~emqj2kv&0dZUsjef@p}c}zZ6u#
z!CY*XUZ&0HuJW8Dud<pH#dSw~C0?YyYIc)v+cQT_>s4~ZI*#G|r!migOA#46B1(=o
zUu65Rg)D`7{a&TtmParo3Xw~B^659H%|SgVteK%e0(L+v`hn4V-bu&qw{q+^qVPwA
z#pOY-83pQ;QT&?F9e|>QsZR6WIk4R~>`;_6h_t&DRN(aM9Ug=JgsFb!jjDT5ov_dR
zTyc1+(cjKtsY_l9s~i74HOlhm<i5|Nl=r?IzL0!s%8gH&zZZ*x>u?lvfaYNetf{bK
zTW)Pg=aul%9NGB#J|vfZ>uTuK_(G*K=WmV$6Yq*II-yWg=9R>4Tqd&#XN>(;e$vwG
z<(sn1Xb)3=Br!}A*@>Xd&JC%R#|H=B_c`}na@ngn@mzXt`<-Dq-YJ8%cCNt2-QMnM
zHO(#LZP!#6ym4uD>sRevqQI#YzS5qK3A;ux!bMps+Y3(G>bHLx>7)oN9H*03jEHq?
z#xPPAXUJP_Dp#_t>b@MTylq0-YQNp3A+8`G>iX`kutKIYy`-4Q-&@kZ!@d`dw;hMS
zOV%x;Xz*QJ+gE00JbJ`->TslZNZ`ts=nj@Rf64*g)YCt58^jomLNBFnRZBP^d;VSg
z7BGR8?8VH?Wr=z<6cp$Bb=bVP;70@^AwNi=M%nMteRcub-4;s!tcli7+XE@->n6Cy
zobO*n+%%uJB)RNvW`{RdXc-R(?xf1|MHbbvP)~#)!FK9CZ_YXlknN2RA9Z|GGbQKM
zSTfqf5X$a^HhW+7$#ER*&2o;<bsGz-?KVennliJIVqi43a;<0;a6+8+J9l0-Rq?v4
zV2JUT-!_H1sY`Cx)Whb~s0_sg6%hjckYMT#lljrchjbb#i@cT}KL~B7afxQ(e4Gt^
zLdf~v7B)t%yPTz74hxgKMC2aIalWEi>eJNkF}_G|<vlHK%90@K{Tq26AvH}Gni)+m
zU8%2%j+~45rl&@A*lMYWfaK~t<sr`Vj&<>>x8ADLe-%W{P<GzSj;iK5VcSY4x;VnZ
z0Lvt*vlyeaxJmY4w5j~9`f3F%+*UjAUNG}*8B|6dIEl{CB|XGD_^K;EnGU8DM)qf9
zx0>zkNbdRQTB=kQ<-iWe*e)yTw{IKjM#8-JMExK}Sa#D#8^3*r_`QQoV(buc2^o{d
z2tKUe={%a0$Hnwg<shF=D5|xy!v*Tlbh}#Ci?c<ty!DmFrt*Kuu7%!9xyyC&(G;}M
zCa4#r`S9>y{6ZomMp@F%%u@*ZKQ4gFWIoa9p`c{_2St0>0k{bu!wH3k*#suc@AZ=_
zpt|8lqwGl#`c;_Pu-C_CkEWvr8?U&J!bf=oC`(ZaO%7i^ZY4nlvIHQ9sfrru>?W~2
zo5ec%6IBoz<-ZmMiFcP;wi6Vy!}ibLK@?U{UM<Hb&U;LZ%oSx<|EPuq_1Cn|nQ}^Q
zF_&KsmtWEzN(p3$+w5>(&m$N;0}GAW3tk;BzbzemIFN!GhRV?~PZ5d7+f6e?zHxz2
zU2Kpv;4V%sLR>zI34V&W!%F@9<?V5JsIj0X!+HtyT>%6ia)<;b3-9`OxfCsq6>t0@
z`0$s~QXs=a@Fd=<Gr$k5$j<khEs!V6j=TI(4e6-zlGnCg44Non65fYa$@g(Z^qr7T
zEl!tg@4aMMdwaYU3=bL;XvPEGlqprqY;Oh=baPQEs4Wx?Uh$qF5+=v$+U`z_C(TWe
z!OoPU6+%4ERAlYE3$;o@Oqqp@G@9NXn+%<j&}Xe&QQfsIX>?`6=J<mfT>P}hrea5;
zNnG;sik7{!#W<wu|8|Wt)qO=`_B9BiDbnO!n;U&TeaWBq+tyNiO&@Y=6FDkee(Udj
z8I(hNiS*_RlI?pH!DotQ-TqK8gNq6pe9Pn#>SSdeC6|}{lUB6tpyRRrjQg7Eu+40d
zTH@t_kIwuahos)<iS5HjdR5X&J^GCl5JmVM)Ru`<8~53v&FKO+4s+jr4khqvj1yVm
z_Q<Nvjf`crSlK9<GR#7Pm=o@@I(+s_)4W-=R$u#rg|^3?7lAXJY~;<hw&u662*H|+
zhv7?J_0NIJ_hMM-0EI0831(LCNB0-TZ&+-})1F+Zv5h|kxPjV(NgA0rCin$!H?T(@
z`)XHLyea;>I5Xw*?0xSJipHIDr<6}tVm}nQg~Tma7uWUaaxh-FE`5Vc*Poos*`|uG
z#iK;vB{Zusbi<8f|AnL;^Lv*a@Y*}0ALO=+ytGvXm6iJ6<m*NC$bDNUK>=z!>skeI
zm$lW^E|&d6Hirj<=aOA&M$RRf@U@bNvx>YT2fmA?wxr0k&kU`4PNb9T4cU`|?h_6s
z5>K5Ni{}5(ZtbOGnbH8?!r43+kK0tablov~$c{lc+M2{`bf*(yuUQg-8(*=gXKWTM
z(Ev<#8QLtp6@$M=RzZ_j>l^a3RehXHe($CWyXnQ^xKE^_q(#gq|LNgyU74j5uuYcF
za}79ijZM-d5U0E>uaVENai}*F)ys)t8#BVrV_(k?eh^CKWj0Ba-U{PGH@2;&avtNK
zlcaA{WUwve%zuTaYUY0OO=pU<EsR|P6S<eGk5sj$5jm+2V@Amw?&r_P<(uNdu36~d
zt9+)OVO+xiJ^8CL#(T$<An-a9@{(PFod(Z{_B}$v7}?c@!}!alg^4nszZZ8_&`M3V
z2->ats1MTO_~1A*(wlgHacb6A{>oBn;6d~Hyl&phM=1y<f(hKPsonV+{A%?ODO9+4
znnVALOS0H4$<resbcxBl8I@ZOgG&rAx*ec5b#Ym&f>$e{Ha!UCzctO*FPZq4M+A<Q
zq{QT<ZiA5cpY9b89}r(4utMPrUdbnaOk2Ay>~OGst4GL)j#jBZB|^rVVJ8yu3_(n9
ztY)sZNqWD=IoAzhRXSN1svE;0-@l`gu;B=%L)PD&k!28pP|%90@1$XFYN}1Lv^POA
z-!L)Cu72g5{Q(S=@1E-Cl;2yDw@P2ZeDWO$)}{;`tnJc}(j&Amfic0*=z#U~kd<vq
zT~Y~qN(6xIjO=gD6B9_W@^qhkpEvuR^h<?V^Sjf|6&DrpkNJtyu=es%6c8u4rg*!w
zA2Emo4djC$+Q!&Yrr7oHqp(hHY@j(L7*jh%RU_TaxYMEbCB{b6;x0)8{00keYp^;n
zHm+1q-KQ*yJ}-xwq(F7{RnBIMqaxn7d;-!u9I9hl4TfOTN=Xo>rwRwLMiUeTrc`&y
zg=bKsX?pGB#G~uGO9f2A9$8%1t8%e^n*{n<6o&)zavqJbAStXJ2Z@|mDg!lR9N|Rn
zGNGl+QfmA$@mIdcAeL7)*C~~7LUP&PudL^>O14B#3ZF(7T%5^^i*t(@iGi?o1l!|n
z4~8(s4opJv^Yl_vlnF;@W2tzGE5H9{Vv%z`r<|-U5Ff3!v9=5`AO5s`cUJ*jiaakb
z)P;`n5SgYRp_J?uTh@y+t(Ap=ShAp>bx3C4RF@&GrPWZ?^hRKWj1^4^&zrM%M^>Xj
zlno1N9Vzn_TCFgznMl})<7RV@?^;0qIPd4CjK;QhZz|)i4mA6v6wZffGev_>(HJ_i
zj2IRc_7dYXk5mZPtZ-Y8HRu8A7!9c5x!4*iMiwVn?k|izXlJ{8&QW>qZy3Xx0pd*7
z9t@98*|pgS3><tR8GT!#C_oDU0=3zca{Xt7(w3ngC2{<$hch@p0^o;>OIK9`FL&eF
zA6&gL5+FvMp=LBl57kv!aEtxpMSG0Yqri`@C)?m&X$_GXJmd!fJzj7nj1_HD+9Iw}
zMe%FlEM2!vR7sJ;17mp`W8(ZoAs#(;iSw(wE_px5Xc$T&F`v>YLEj!f+m@B2zi@N6
z1QiOR?2`sM^oB%2Y%>6Rs8)TYeuw`?gcwBxAcXRwFX#WN5>KjzSo9CQ?2P{U@^htR
zwr-ctNA&Hdb5r*eD9gzzCH5LXWQ|<cEg8Cn)T>RoizF%fFpW_czBTj~j%O1UaY-Lo
z5JNT4mo3yxwHtVFEDl2ps_1`Bg@2p#coC?09cu)TPhzNUbjdW3Rt)`HA1rLUGqukn
zPWMOqqaQ)*kCnTz;^JBtmyXG~1b{%lxj<+pmQp_b7F;WKTZa-;R;VauY=~3kNR|(l
zXNwlkzD`=mGRoBnQV-PBtbfXds8#k`p^~pqm6M?+NBx8Br!m^71Cd_27(?o;?3AGL
zY7sG<jRN&>3}cm7w3M{363)G6sg12Zs`5j}84Y<illY-6T3zPR6Lfhh&5L=yv#+O@
zi$CcH+B6;gBqMtb+c5W=CT7%f4kdN0FZ?4{4uhV%NPd0!sWyD{eC?-{^vA^auXFP{
zKgcpY>B(x*M$lNhQyf3C0k)~7<#K5zKOA{6k4^NT(wrJ=m=<q4MQfv{GDve3s@h1X
z+|(uPch$}*8|^F~3rnN5{39o3nx~gm-vnZ`9J-~Ac~p2RKJ_$GPp<MRr_TA|cW|=B
zQ{fwJr#t%T(Aig(%aIvar-Nd3y|T~-NyuMe>E_T2VQ{E3CRxSbO2Sh!FP&&6o}W#Q
zMt=h7LHLi7A@z@B{LN5t-A6B1q9^BrA`2Gk&`M>+=8da###}TGBS+<kDwGrp3KyxC
zt9za2Hs@V5YJ@*H=NIHizrJ{@{z6IIUYjExtKlo9kxqWAmiO-}P1p8uHfo0bKqK6k
zb=1s_<{?9`ZmIXQvzdi!Y;rQEhHN%6Q!v%mbBSIX=Y&*5W}w2ual1o?6C)v`Fp!q*
zt4FPe$7T`-CKQIpJ3%wig{xjTg_+1<<avJfGm)bkIbVDBaF5udqiS&&Twq{YLp&x=
zi*<Ir!6<1fRsEsMDq02T>Cx(0J0!dG!XlGxH0BxCyJMVQK+|HrNTRGad#=;JEXC*?
z`^(b|1$*y`N2j3@%=<F*4H{Hi9}#Z(ryo7libtra%fS!Qi6Oq<Cyg5_AD3YcO?bWU
z3N4B`7=^N{mD5NhvMRG9PAhb7APuJCPZj1F;60M4M-WrvGoJ+L3~s~Dlw;$0NiEoC
z$t}|5wtW@_q1Ao)3SA<`57b0C8mhLvl-2vDX*R<bACGf!U5EdirZ@=Wx*{6M^X(SU
z7)(YV!~Y_a&*xn&ph-<654j7xeAMHrU&w4}m2dh%vP)fKp4m1N#&yICfiaiE?u?8#
za{kKJnBSk@HiuS~hcmCwE3Z|)=UBdmdTLl2hceUaNy$q~_7;!wr`;cXf57evQ1-iO
z+^2$V$kbRH%V<x@_x%vb=dyYMy~sLWZtv-vn^+#q{Cle^RxZ{>C>d^~qk$7?CDiq8
z3{pgX$|}*ykq82J=5JqW0+e^ZT4Q??Ea?&K%seeYX!}(SeAk&~atUvGrHMO~Eh97Y
zn-LDw4dkvq7S+Oi<?fQOQTy%pdt~vpa;Ch3&V`hEY`qhfS$|Y+^^$bOzmmxly}1c5
zw5Q~T+8Y<XvDEIZms%8A>HFa|&Q@HwSd$t>Pft^o>TJ9zh0*u+RYGLuQlm#tXcYA~
z9pHQxQVMi`c>)?SUvWBjdpUPT=cU2Tea{*4JD&gaJ~2iir|>XFCf=xlYWz*ckIdRa
zSqUjAYFfi9W=8dd3CE|+Zwx~Voi9^pdJhKC+tNGh_Y-vjN%U8aTjr1XZ|-O)<C|R(
z^h0}Z=Gl_bl`y@`8wp&MmgZh{day0#E9BorCPzkAzIi}KAXI2V=|sYz;|U5`G1sxi
zo4dCXt!^h|R8{o2HMNX0MD%5Fq>9b-5fhQzEn}a{N@h5A>EUATzopq779?wn_>hf<
zkKd<RaCCHJ75GK?lll*0Q!x9JzCUW^)3<g5BE#zjGHRboq#^FCDhDLY%A>Lmwt2K~
z-$w4&?;Vg5tYe01tlFuEuOCDD?C(>$P{Tvmy5$(&OiPu}s$bi1@R2LGpUs9FFBskp
zSp)61U!NrS`T3=&cP|(T6wZ2O54XM6zQ2qj+})-(k#P6=CWuVrvX_?=*YTP4Z>*Z`
zZjTECVRN*+fZLZURWPX8@KreLMhA{O12*c{A)p{Ll6t7#l{-)A#Weq6!?y|=PG+^b
zQ0EvzEt`m|-r#a*W63Q)ta7$BNKePagk7l9-~y>OY+I4zTK%^6<qOjG&32k;OG^9J
zaGD^Hmy6eR4_Z%uQzMsmbk)^BE_G{H{Z(kMQT)X`B%F?s5o;)sqreWR59shhj*Jj?
zNS)v-JwHFc2I3q!ThUr3k`}xRoDoh0ShkXh?|!HGJ;8j0Gzexv7i6+mkYNUt{QRl^
zRq?@Vuphpw^z`&9Xy3SC>ne|7u75PO>}_nOv>eZF<`@{#-6=*(O_~m*<(4%qho5)L
zaTnFrUYlnz<;o0$|5h7JIu}*+Q$*%ON;uv<e_CGn^XCdjmW?Ve(|p;AkT|*5xp+}k
z&2R$yc76&k<PXLC$%>Gl(9cfiMOo+{@S9hT4$VHI|2y!$wH4HY{`>n@LQ%i}Q$Oo^
zi}Bx-a|8qyF^~cL_X}TEy2wL>$ml;7q2@y_&$x_y*t;kz$R1(OVnT_*pQlR&T|Wc^
z+YOQqg;=;O5Bs}*=vS||et@fpB^<tDd1ra(2%Smwy+7xaq@Mqvuip%7+2k5ZE2`S)
zBLxyiVv0)D>;Jp3|NlQCEoG{ag<ODkP40yA;uRR-O~0E04UaVnWi3&+^m(&;Szli-
zI~(?*y$XnE$P*hjGfS@8)mDP(y^Qm$2KpiRjC7AtzfMlgJ(c3oQj{12o8ag*I&I^y
zoGOeqsvw~{?Op2(iGb)_Wpw=j!+pD@rKH>^H5+&mWS0JbA+PU@c*RJ+Ke!LENXIeM
zjo2s4OYq1mj%nWIu5)otPE85K9<H#kRFmu9>w66IoNf@dzmN7wwnFng$SW>R#eMu}
ziLGlw!U7BRD@?0YzpVoW6F)|xeu2=jI5SK|MMZDeA(t=!2;Yzcc_K+gmWQvT;Ga6X
zzk22>Jq89*I)e$@KNNIz1!Twmf?1JZL^c7KeV#BIj&t({$PNrTFRI1X|M=9T-}VIx
z=9%Y(uX|1qI=a1jHUnmC3&b6Al?h(%*R9T3mSBM)=9A&;6U2t9)ipKpn1Su=VXReC
zb2J6{`8GObpHaFexC0K+2nA=BDnj_UFG~kEa)iLyUlJMG6ciOb5J=u`GW*Q(dbC$f
z>w5gDww`~lY1#53NJKZUprC=%L*esVFeTmw0=XiVEP`em@xFXw1N514G%crrzX83#
zMX0it7QJM1=CYcKijF~%PRbx*l-@rrImy5I6MxGv!3b&IyZbZ``;)cK?YiQ5%H3)z
z>9~9E!9)&{3PPr_nUd{r@M0S%8G#N~J{Y#$IGlb*5!HihdDvHFIc*c$fpS9Hc8MHH
zZUvhaPbJlwF*zkrQ}}7bcJtu3wd}rMWN&%MImT@JLdSihFf}!m`R!y=*XC?E%GZM8
zVwW)12#Gl`FCQ{2w2zC6%O^16xnf6TC=i+ISqRh~D*m1Zl6$)*Wy<b4Gm{R^uyBEs
zH2_QPme!=s%LB9MNB{J<uO3Ilx<9$FB+zjholtoC4EggNV%O8^s{;!8aDFTH8&Ig^
zQUwDdRn^o?fg0pl-?M@u>A$>L_4V#+W*z>*N-8QG!<u)pmWSnF*%sC7Z7aaS@ulhF
z&ylglT5Q0iX|R}~iOETR_WU*jJ_+oy0VybJ!1@=`R&RbtZSkG_ZZ9uKt9JtsZlm6v
zhT>xQ3$O+MGI(Ys*m~V|nd-ICTjp;~-C|D>_?pP@@)AB4H?GHofotTqKPK|jTp-nh
z$;IAeOP>oLVIu3+I@GA>VcDwti+xs&N6HnWb}h?-&nl3glcE}oqU^Tc6JuwA`-dDW
zG%hFS@Bgs(mr+r7Z{ROHfQX8KN+YF!+;mAwsDLn(igd%!DGc3+f=CbD0s}~Qw@5jZ
zbPv+qooCPeyU%)_=iRf`IWPab(dEL~^S$=f*Z%I0=r8vpz!}pN|0P0!``?PhT~V+*
zQwrCaEx}JTt<W*4p6B2K){QPpZlRY@X!jVC>UmQ$`&6lcIZ&V?Bokus!ux<JPRC($
zFiYNtB1mfXtJG87NLgbqRn-v}uG&S!#6&2`S$0v8Z6T5fy3WqRa(2{CuJ0MGjJIft
z*$_NzKN%*Q>e1Ab4gDK;D>Z-Iiz8};w}V9nK(tleuS(@vb^>T9PT8G}NT&Z^x!k;;
zYkwDlv>F^rLz&VGy#q_KAg<fB>OFxL7EXlWNp5UzCjU4TAG1%kV~Xltq3O&e2yA2K
z)F}BrPEoEh=z-{7%m&Pkw<dyGi%DSb@P7U+VP4}vpHxddeJJrL=(K2~iFK`8>goGh
z_oMZ5_CVq7QvH68l$4Yq_Z)zxm@?R)gq>d(J_|8_M?o@0#O+<uxN>`calBQ4PyF3n
z`}bJDB}zxuB4|N4_u!q{Ge`quf{4mvLs(B{zIySsG*FsWT>sWa|9ccL&g#*oYM`5Y
z;1cg~fKIxcoSY;8451ZS%j(f<?ngn%DeWI4&43x!)zsJ5zaO;kHg?bxq9&}UuEq=H
z$&qu{2hOAcIM-&BbMgY^#nCh@gk>#-FtDw(b+mlc`ACU5syibx3?J`5O`m?1O8t1;
zw1eng1I54v`sSJv+#jzz7!0lm&$I6IzjAVN@={l}c>A`Wmw;D;+#$HK>buJ%#ZU>5
z2F`hI9=M?zaoBr^q6<~C?y>{kaEHI6Aaa<JFtFe2^lzX(Ktw=C$Htf~!G-hS@^Zi%
zwG44PpAY8p)~;HhDF#l07JZ_);|M%a$@Q}!sh`xI9L7}t$&nDqu|<H-`&JnZ#GxN(
zd|Qyz{9Wjj?wFXM*glhk6yqbe9OPT*`9Nm4cpV=Qt}CM3csjnZlP@1n8yM!rq5DC8
zem?Wa@bLZf8e(wYxn88B_03sFJRjx;{0QTM%0~Z!tBscz2Qsv7#x9JH&g`K2`(8JM
zP&>Lm-#gR&uTsEQd<N^;7U#kb&?p|596kf^sT2kp^5f29oJFGjrSaFPJzmy)3-~U(
zMiQ6^_74k7ZXAiT?#XZ<t-HB;73`-t=AR=}%nGk;09ry3?D#I&@us^@1F!A?%%*nZ
z5I_N#Fi?@~zj~?s(U%UY3<Oz=Tm!aseM30<l_y(V%*~YX(ceF{J&zA}egW5UG-C%y
zBtia#ak7lhPBe?XkPAP>ttDR0KG6?*ve-S{A;5S25s&LQ4}<MkTRY3FtQx0)Pf8Mr
z{pu6!Bq1YH3hi7N3gsaO$e2_twTTz37GMj)WEtn>5j@LDm6erjZ`hQm|9Nm{6F>x-
zl*vcOPo6RW)eU=WS<7SUutP%(GO8c-ttW(45weWmnCxAoZxbB3)Ey4Wqb7=1vca?e
z;CK{NA<tSm+J`utf4Nax<dIyd))Bt~pc078$4jRj_75ZUyW(K@ZoJiz44rh}?neN4
zLSzQ;^*IHVN<ill0KZW~21wA)`wXQo0HvxxXUH--gdjr^B*E>byA*G>0r>z5%)zme
zCtEJJ6(28J;hDTgPGRNL8z!Mejxi@~FLWH^S(C(S3hC9o*3BE4hZjf5rlC9%)uY~k
z@j?i-x~<ba31<R`6c0SDu*kOmMI_-M(S$Z&7j$*zzIi}{WY2>u1s)OxqJ`ht3xdbu
z1lZFI_RoQm5em<)X4is<nH`*-cM63a=we*epSkX1u{EDG@5M+NXQDDfZuXpH2f1>j
zu5#W@UF+z9*Uj|d;(1-2$o6dSlg+Vm6vcu6;iAm*7Vis8@RzH5-ngBTNkJ9h_g{?n
z7Zr9c?Omk1*RY@ibOQ?Z3Sc&EfH`aeS5fpzji9aw^);^L;SUh}Gm#SViOzfN<Y{Oh
zx4JYWmpq1-MzgdV5vW$6@mKy_=X^<U5O3n57EmaHnXcgHOA=vf)-4*lzyY6|K%1kV
zgEYg^@MZ}RH|phbWvH70m#Eq+x(x?HpWhYra{GI5fIa)8AQDZhw5aEu6brzGAImcG
zj<4g9;6kW*twL(Mv@Sf*Cu4vPi_FW+TyOzc=k8#xrkcT%s|&^$3RrA5QLHZmh^sC#
zfKg#kcqIkGY$mu~eH}RALPQ0?2rlT16-KHsuAzVr3J3m~{)F*SkO|Pb&`M_~;OR2}
zMtPwdV5W1BNMmq=v@_HNupf$zUnl_zk)P<@#oOCm)SbXrx+n82SN<&mS8Riv<{~LF
z<ZdA6qacMi62)f6%ALMTB%?lt`Sck`QiJSg8wBk43@F6DBEz8~>bdy;^vk;soLo(f
z6=)8L7~`}U)|}1<zXeVr6Tun%{4D}}u34d%5GDoPZ6j(<Sb7lI;VpJjpi%ns3<$LD
z7sUY)f{gX3+Er&T6g-PhgmF0~-Lc{SQjPx{@c;iw_W$|K|099_S0x~%@@xtVvJkrB
zHpC=-(Z|<OU=85T3bC)TA@s!&R#*@U%|$KxYD^I3o|Ve{vxRt#p)3OJ2TZYvP*xXJ
z6&243t&0&!&#86u=k9A?Z{31)xh+n%E%zh~A5g=3mOA3$Ouezu(T9mhv`E-NIk+gE
zyqxL@gq}IViYRTx?SRosW$+6^DFV=y8j&7=)7d7sq&F8KG(iZVSh23c>2g~0|2+5P
z+8QNS0`b+6DxwJxhA%7Zi|z=6td^#e1%%tiKjswx5UUhfp)>dzeWDLw@26jCptm3;
z5)NCtw^&(OZ6hmYDflK%uJAMem`5UEjAE?0qX!LfrhUnpi8I_hWT3u|2)FHV2J#Jg
zk_|E}y}>EQtD@4<JqGP++fccECMLk8&X<;!-ifSe)AGn&al7G4YQ=_dlK~-21B8Rx
zpe~?Bi~-zAp)>-(7E=KGjS$uo$e1!G)F*FZV$!ZjNDjLX=3}tdBJ<~#gvT&IMmW@Y
zPNkc+<qKrZ2EJ!ll%v-9QZ;`|iUy!fuSOoW9ileO`cr9Wvvwg6iUaT~ebu9StWbdF
zmd7a^8XwnS$bCO}AJ96*6ZZ@^F(WK?p;ZP6upT^w2j2@#$E}GC@%7WR3g1pS_G-5O
zdNjM564q`cDt-^r!mVj_BPMpXoMhKD@qFC!X|VQ_|NATe!ZwN#)?+3oFV7qz_pu8f
zbS@X41DJT6V{7XuT=ztuacdS7mkSJZq!7qirrrB7r<wiMQNE6zwF8IFueWg_FH<!D
zAMM?sCMYz{7T#@u?N``w<fiZ(yAv27`V(@uEB@QJZx(=GD(BveJd?Y+ac|SQh(>l&
zcb-WCDCTUG-|yeQbDMTf=<aW%nm<23AtfaZF07=BJhX)lF&4%-`T(|EC7_~L8Ga_-
z6}2m^JZ6RUOdy`gyXy`DE|&y`2W<0vGF}*Nn!6yB7JG;V1wwgmwY3w%BM9K2;({R*
z9gO`4YO*48N?KN1A3)W%k~LN<IT&-L=Ju2-RBzbj4PeM-Du?IZw>;jQh=P@lcZTw$
z#Y77s#<A$fXylrh#+L1hVtC{1s%@r@zpc2vm3I%UJU&2pk2Uw69jpWbNP|Rz?ac-F
z=#+$uXOIYOht=s=og|Zlu1cUUQ8b-vUg(IGsvxP1EEnA@TgUm^&+Z3zJ43pNmX?-Q
zs9>oP70(hBu3>Qa0U6X=Q&Tf{qwa=%4Ih&SJ+nnOH8$Q{i1pX&0}OoXJIj~hW&m+J
zGd^BZURK7td2xNgbfuu2Q+YfMDsnTt;H-jzO^PumpPXUY=$n7mI)UZnmz513c=^O2
zzan?uWd7koN?1uv0wPg!7e)CS<!Oq8)}KFrqHV`Zo(RA?LMZ)S&Pgye<_!~GU_&KB
z-ed~i9|+kKEjB9wCp$+c*+3}uwnuJJ=k4$B1MBw~<Y5O{-?<`sX$>d6up{0FY|7=I
zhn{`pp*-mOfo)NNn$ZAaw<f#KQ7a$;FN{v`+;G#2R1W{b8ReL?bD^(9bZrFmz_h-|
zBMw>4<RwNG>aFO1sR)kVp<>`uqNvJ2ivDUDgq2xO{Cj}(b?1V3zMu-dMj50nxXrF1
zMzi%t0qiXAzBj=l&%FjAqjIx;!cL=70cg6bs2(6Dm*w1u08vZuba=XcWpqtLqL{iV
z4tfEbmg_`6CnLisx3Wq}nU^+Py$Zmdn_o|QnAn#iGY-R!Jg(I20Y)_#iR<sB6fh~&
zZJ+D}>TogmcjT7aEDj=Xh$~QJO?004A6Spc8sU^o5)hQq;3FsvVBI-@u4w%^yGM`K
zV{;%N392^|^*9MHTx?&NnXPa_CBolijv4=B3+WP;Nwn*(bW5_zy1zUHEapRDrHh<M
zBRYd0IDrMp!^d|ZFukJWsb#~Wm=5nIu}z&MakH&hV7+2M!PE(kp8&gA(X;|dX{|U_
zXsQr48rSVBC)GzlARmVUmp(i=$UC>-{x21gj#kM7R4Qm%b8ldRRQ(53OsW77MhC4!
z-iU-POmpPQDqHU_b_?<g(C!}k+ZA2`KCVwerM}4ek4!b&nL2(EY@17Vv9m)1b>pb+
z#paqKZLxteace-n4#nrOm6mS57z`%_eRm2N?XlO5I!I*q{0Obx-BMiwDyu3$Rrv>t
zYzib{CZIp~N*T&d=J9UOgGsahpeWL@YNL)+q-VZ}5#T932PlZuEWzciUD^pf)r*r?
zA!<c24nk-(H8ryHCZ7-Ik&E@zok7pR4~x^FdoprrVeeF}|DcIF^i4CvHt_d>4olMl
zMDW7rVf{9O*5d;}UGfpjnpXW(tgcpDm!R$=yms;<xvkmu5Ke7omzI;d;${Bb33$C@
zh38cKIJ$o~S4Kd4cbnEYL3RB-8MMxIeK?o+f-@O_`Vx?{*Ne0|)wa6U-`{)-4o=%n
zQDS^V*X{T?b%lm$t>O@sM!2s#JU!h2RX#C5$po*s<*2KuG?*6Z77oXZts%0rF3itO
zxGAi;xVUbDR@}^v!scs1|M2^Y8#4g=B_YjdIunF6F2MTJpeZSIwSNgrE*x;i<p;Mw
zfAM>Iy5Y*h&pQ;bCXTgQKv}-NGl}J!9M|e8U)1|ar?2{8rJv}m=|&Jrr@Fp3V>ReC
zcY#0v#Gco4Dz9)PIg=NgmkSkSF-1qHnrV!-NvE%J(nWHRXRW#4Kz!0H@p_xbn#9%q
z7a(ov4K}?h**+58Vd+1Z)dnug^@j~5Y?Q`0rje#5@O8SI7r9Uv{LM~9<#A*y)p&`a
zWH>V5aAhm*7w?~dW2RT2NE<#WMGzi)$s|TrjA~gis^Vh%<^C}rX5r!@f{Og1I1q+T
z4XOV~yMNn%D|KZ8__BDUI-^&Q)&(7(S)Zr*4<ZZT>wi+f^BJ>lyna)_-vY{co6I9m
z6O*M{1S`-_QG_$ZfW1ovIBZjCrIjgw5PHnmE8lEa;*CX&5Kl;L>N#jA4?G#cGT7|;
z0@rrfGDNNEJPv*1lQ%r)eD4;vKAm|Aus)aEx8wkirXF~)gjHw$^4V$APFkw>t;MHV
zZ}7Z&PP}5`;=qZLnUgDhe!yY9pIPW%Sl;OJlY&ovkgu^AY}u5Vd)uo?H(li{WoEvx
z!Ej2`41z3?k~l{2$fN!hr3>^ZndHjj#~@(b6b%O@F|JLRrG>Kb*KN2%(Lfg@BnO!~
z;)$S%Y!;1`$K=2rFBfW8ze!3YoTbq>H2g~dI#j_i=P9ak=Q#|a;EU|YPR<MuA5JmY
z;6plm6_&IeY{(W}o35JId<2hZNSm6$AjIs&ix(cv{hdr=!XZ^y2JGGEwH&p_yGyP`
ziXdz&p-<8x4(<C7>Ojxp8;5pPMPHhP#PH<gxwzGqe@DD_VP%|L;`YTgTj2SNmQygo
zpp2w7IrG9KA%N`&y6BC_d$69@P<-7nMKzE!Hi5hfkE*VD#Q&(f{G>5#;ZWaY#|i}C
z)D@;cbLR0E@3pkFhI8mr6)Ga33}S;nY=DOx^KY231Apcto8``b|LrIN9QRb9^7SD+
z`q0ip+^rYsqQ*cQM4^KTfcusA78}pkGd3Nl`wZGVWId()Oh9ZGb$Ey(CmgL>ahpN>
z?1*=vwhe(qpd99=1?b>~ziJByb%m0*-DV#_=>Rk~NvuC<95BPX!5Cqq&J4iP8|K_*
zM?gN4D=|&MbNy~k`VH7+yXZqjD4HE?%_Idp6v-ubPt&S-#cdX3dG0F)JJq8~B3&}k
z$4V5iszY6n4BkegU(9wUfc(%dkjm%TWJE=+%hO0%1>vr`_BL}a*Im_sWg(@}dRT5j
zfoR{!Rk7@Ol(PEIW^VX$4<07X=y^3OLJv|tRw(EYx)^gSKq!dA7|{qTylC=THIYM4
z?RW1CJa&GINlB98LkxOQqqR1)D_SgX_qQIVPMw38ucSOfZ$p0GM2A3Xupb}3+<@Su
zw*)^N0(z2-Bn1)j`W0}z9|onMX_3#(A4NN^ze=2`7bUs3HAbfh+B1^|+%a69=rlJW
z9<vMrtF40$BxihGkw*sdhSKOLig0xLpRi3aBQkc42MXa*=L<j*DJyP1h(p3od)hrw
zJGJLjVn{xeW6oh5v<|+|5o*KmkPi|<8W;&e-BltgP=}31uSpkpPhgc>i0sF(Spk)c
zH5u8qwK$*dOF@Y5^z+1(Dz`+dEYa@j1o7%Et^|eD=<7zbaERZfZ)2JF5)Mos82{`3
z10yh-q1d&YUhYkDf!1+c?Hk;zn1ZBT;jwW-WQC|$W44cBaaNW|5>ke#+i6BV;5?$N
ztV}p{rCqdtYG=D2=%CUymmH$<IInd!jZ>L+Q_fru6SD1~t-y5NLiYhtEe2VGv_RNO
z3?F0ry|kl~xrwR$2aCSigd6P2!SKVysU*g3trt0EWe)2GY@o+>M02{d-6KT+sbwJV
zv+1s^-TDaMN*0Dcb4w-9FDTFvRk;A|*eFH`+HfD1D0>Fb@0QNK1vXz`*!*`66nvSg
zC!_D(Q?M?IfRAi`mrK~=)oBlI@1{YY6eET$3L8OrlX?5>&O+U`E`oZ@iD=b@S<*%)
zGS$-sh=m1*|G}MG*ESJV2XgMwTaP`_&HsqW<pZo1x@`3LI*b#*Z|5b=i)9B_n8e6K
z-;9}w8$r4(D7!(Ry@WHK34pJqKFA5(_ws3pY-Fl!+CfLBUVnhWU|!1^c)rPqBj7=8
zY=5`Z+JFX%&lvp`AHX43RUXS(ZQ%_`yBm!Ev-=cQP?;~*9~>PU3$AqI1<ryGBvX0F
z1ExX?OG_=c2vbW&(r9q`3al?#I0`wu;0v-eI&Msp*(O9dKRrF&{=1+ZD7V^Au0UTm
z6ruM62u=rtpLo4Z_f(fpD{fAR*==w$ceU*d6-~OpC?zbGmH*yG8m5X;ual3~EH_mI
zMC_^2$q7WNSl13rAxYfJJqXE<Xet49T-*hxyi16Fl=oRnPXeF(MY9imM|?hGEr5iY
zKG%RyFz`lT60>F50~>jH6zFEZjjNCzJObY`f6&DkntP)U2f$R7!34zhgYZtS!KU}4
zSoAx_7nt<lgV)v8BYVY-4dBo`>if7cRBSd7=n+UX7@lJMb$*Bs)?y<M`sS{~C$Pm}
zJ`VRo;z!qI2umW^EHaS*L${47aJ2kGc-P%#y%3yli%<T7O!-UGjy~I(4gfeevaVeN
zDq9=IV-qqwt1c_se+twi*3nrcRW0ic%9EQm94!&@=T&%3C?%h1bXGm_sV@@7#4mrY
z4|M^xz)0$f*weL)!*zQokQwV*BbAUEu$+b=tqZ)YYa$`Jlv~e0k{7+ayiC}CU<#ca
zFmo%esT4qL51G>!t+;U@rp=#=C@LG>YQ7CwOl0_7y{H9si?+&o*j;Vw=5~hL5szX@
zVX~-F_RlS>9u<GGHhZ|b0EsAe*!o|M)KdwvC6f?M>q6b9Yg=+o8zqv1#2xX0&)%k9
z4%9hq7-b&KK<F1l`|JA;M77_)-y5>-#D=^Se>w&#^Zl-B&<^CJ`mbkV5R%b?|KHzX
zB%lue-w#FR|JU^01hhIjivL%3?oe3QE(l2z5D@5QQWAqA_p=T@q@{}i{okzqzyJUL
z<PUDb_=naWO~}VXL-I^cp>t+5=9sg6%X+M6oo5#F-!~}Rjko+Q6=yLg;VBy-Sdgx-
zolL@rCdRcj_D<}O5EHhyQJ@@EZTCfmJ_1L;=ZAKbdreB;hY`NKzDPxWV47iG>(mUx
z?ebEeR(nRQ%__6fEw~go69!9KOp=hj&a6B6U}wtxntmt5*zaTpkt+8#PIi*-Q(EQQ
zqmz52tPOf)pwD~oVD>D#;3gdWax-o20BA&DL9^~P$TNy1FKPJp<X!Kn;KFV=GOYqC
zn?|f04tZwaS9CH$ypRR?|IbS@B=mv0ZU@2$ajtwOIhr)nK{%pT{~J0pZDt_iZ<QYp
zSNOe#QS*u3oj4we2uBq()2p%fXNwWpWVob+B68=-+Ul=E>+8VbwoUZFTa`_{V(sD$
z>IqjMk~{Yry56eKdWIEvb9Qf}kbVqd%^@*A{~UoG_TJ;|Yl1>C%MH0hubh~Q*PV?=
z1mInlaOZKzzA`weitS(Tx%A$lR}qnSTT3*Z{(I0DEYd*gFaBY#v1G71yO3<kO?ISj
zwVc|$w$`9|g>31^+rM5aLJ?eR4=FvOma9bH6yYiFXSR5>a||sp+C@5ApeL51UMK2{
zzbelr`%O7F85uKNQZCbPYcX^zw&#T(a-A*Zkn4TDw)(aGKIEk-$RV!5D`XO~bx;Hw
zv<P-s_3f^^cKa>TTjw;x|DGooYb;f)KPPh!y-N6oJqAuw&SU#BeBc7_#I(fDIF^PS
z5JRKf&A#Z!z~$OR+_lod3tJ=(L|3M>8iVR^ZJkh?8F#qM2|ccUy`Do;=6Hq2YR27#
znQ^XNz0!Sa;brfm+WJh#*Rnf8rWxP>9)%k5s2rE{$!bEc&HmQxM3RY9({`gbtOIr%
zLJtRC+XoC1R*%YVqBqIi%@mU!47+u{9a+q1iLg^V|MwM{xC}2s;X>NMTPM8V8X#fs
zFk;37uMYC@E_*a`Nn&LVvB^6cxs_rEz8|KEjsb589Gz>YxHr~*C^f!Ga#r*YX)1hq
z+6hi%ZTEO_b32D@Vejn6(8cxiBCru8A8D>;HiJY;8%|4_G~gZz;mr+_Gkc9Mf;k*!
z;D<vSRmQBw5D0GwHrIaJPf{$^=$U5|`5xdUoA*fYu3zlN{hO}sk!2;ZGxz*s-EzT`
zwVGu%x6j02enJjjvGYNxd%xmEZ+opNvJQAGE55hyqWKf9c&Y~8>{-hKZ$xd0&Yjz2
z7Bpqw-A>V&Zg-7ZQ!17T;@7HL&qvg%uFY>(+<nz}Q=y#V7~if7Wo5g|;vkp%4gYvM
z!jvV_Q%8N8SB&^Q4g_KV3ASZ_*B)|lLFUpQ&;K4jJjp>8{EtL+HRQpv;uc)gym(-P
zuPLTf1GENrz?+MSP3<$psNkcfsGLw&dv&>^PKn|ISvn!F0M0}SMH8m<reHQ>$6yfz
z*ZQ}ZhuvX|ilHx+DE)EutSUT5e7eR-8{uIb94d>^%8IPi=YJai#)HFsh$wkg61f}8
zkg&L@A0s0!0pT_Fz@csK<n54HS$<b*gt1Vp6~LG`LNu8IuL>rT2VbYaFQc2v#nVJ6
z!HFap<FmYSV<-6?)R|ssUm~Ao80C^yUSwF}BQ>xPhxnN<cx6&JTMcz1;c-HvzoLo0
zxpA5?dz+G($)Q;mVB@y4#aLC|#rX18DI;D~)sv8SY8I3%p8~kCKZ{VQC6=^(G;ii;
z9xRjV%?x?>h9x=%X-LXz&1_Fiq&ZmY?b9VA;$V%E6gi>XS&>+6%A9gvu<!E{KXLLB
z$I)Nzn60fPcs3vQlWo`e=muAF$|zRg*EnxA^^RuIwor;|R~u<C>#hf1bGByxZluTI
zAqG}rOyxAKtt4{EKgSD!8K9;emdD=oUBsnolbTAyJm)`~kWaZ3itOlXfJ+oqY#tXt
z>L2g6jvLiGaRepUTnm%pI0coy-Z8;fW^8NPym6<@?0dVm>4PUobgpzH|CPl5C+n{B
zv5T=Cj>aqn>}c~eq#>RWuyhjAetX}mOxgAmRJeJI!3(gwN@-L)4Zp&RKZ4M9ezfrT
zHu`&@;_54DxzTg=kQ;aJ!8NXdi8Rp}esD*O1Mlb@a%bt(_d?}YCoUXOH0sREGoV4c
zD2-y97*C|1d;E5}b61dBPNM6$>CE;GNdolChq;;2`Uh>De1Z6u3<b%g61})9#YOBb
z=doo$#IZyrg*O?LSLxuxpSBm}`_OcF5@|r@4ul#E3~@tqEw;a!%>5LGJ|ebhNaUW*
z*VP2SXO;_B7aS-5IqrK=xHVKC<z6S$!QCwIQ(k?PyP7rmNPqL*;Buhj@zzJSq%H;4
z5bT|>a9sQ3ejG!Jjq);anJEa6b-cRRb;exlU-;%~e!^KA<^pnM>w@(9o40;;pK@>C
zxu7Z1Q+{QW;PcI@KeQiKW9-d(A-Nj7wth22d1i?Dwm)EIOdZ~g@R}lFaSpx+Q{|S8
zkAJ5b)!FmtA5qX<ll_bj|HD6!6HB0MeJ``+h3BcW!IPKI=S&V77;87tjp_Waq#Z9M
zWe7TZt{gX0&-Nm~hdyne&%Q8nB=E#Wp|QMu_rHdda~3`&O_=D{2r7v?Dhw*%TV`-P
zsq9@PA_aR#=G}kc>p-#LGNtEr-MA0W5`Q??j>@xO?YG4;(eH&b=wm*v2$wj)^h|$l
zYg7NOX~9XMAIAaWRzq#*mi>M5YUVwUup6B=wabgy)S(BMuka<W-VR4nQsQ=%nNp?7
z=Njj3q$)q3rJid11ThEwPmP1SVkMXh$6l|rP;m>kYS<Wm&`zkA9O--2VpikmEo@b0
zCPWEmk(9jY3vFakZwpe0y5!tFJ`|!j7fOZO>qf7i_E@8n<k(l2GTbKEBwTaO_rO&z
zUz6W-+DhnNxft~NKsX>_I2+o($3=>%i<twfGj0o1GTk}r@L9g?>B0XJ+|IlhUC=sS
z&nqLpp83oFY$ow<^nG@VulAZ3$SOrP=nM3_NcC^8yvbeZit4a5@E_cD)%YV+E;*7t
zs6uOGsQVngI=4$H;;dGe00p+l$Yt}`nz>}>)m$NU^NPaf#)gj;BjZ=m`1wAc#EFuY
z8JU%YmYwS^R+hxUO<}TFtFuQ&1~@OrcML5g9lzo4>%&;PVlXBij{d3<%Wc$D;7p*r
zx?kNgRXRm9ohq!uSARdP^U4ciW!edq?!5Rl@^IHPIW_h2%8LY;V0Yzq(_{NLK3`4T
zmWMOy{u$#)I`gjoV8Kc>sOIMBTg2qMBtC-zD<>Pk!{aI%8Q?XR&Z5;X>`dROPWOX_
znZGr36d0MWViD*?y^d|Z5xMfvCwz{hB6U@v5|CX(FDM#jxY4j5WK_<tzArnHG_8oa
zmmYy9aN@eQjt=5agZ$*K!r%DaPFi5af|`A_mUqN)_x1JO)Lf{j&JmU10oa|zl)B$>
zuz384`xo(1ZbDj&tQq2*`Wlg5b`HXUZ+1k0e>h{8z;8(MXfT*f6xNv_LFLoVnmpl3
znk=h2(cJ!CZ|Cn31cWW6Q+3sMhal$W)^wuqNc6qEd6SXh7+jtE$DUYehA<Rz;@(bH
zd3ARoz;irx%Ys$Y!E8~~MTs<>iyz*bCaQE^T3fs|tqyf3(7obv;X!l>qx!M!B#(kA
z^&2-}YEOmQacjr4C^H(LA%qW&dTpzSRBHd-<zJ+NGvsY=nnL*1u?-BIJ|xReq3)jU
z9}xfD{Pv(XcaO&CVF({YK%xzE?-0W7CJmwpiQ%DB?7qzJR*1{qe~_Q_tk;9eKzrwP
z_5Ro7{7d%T$-@mkeNKz7wY;Af6oBk9Ju|{}#4?Y|Vfo=0mY3YGUVp=YfTqvj+QiE8
zx|+u1tn&R6T27dkl~KkGt<Ec#8v@&9paS+Yq%UwNUX*6mm9p=k`}@ZR&ne13EJ$xY
z2wN%FDdlUfq6<=Za&xaC<%+GfAh0ymM)Rg?KWvOghqqZYpGQzTx7ahSJ{Kci2V<Zl
zl9_3EoW7+VnJDt?GWCw-N^ntS?<R1#qn@9`JWw<8;C8+FvS>RzZv2jbNPb4S?|l|?
zKWm{Gem(AD_3;kqdfi?|huHn%7ONgM@Q6Qx<`&&D<6H+&((rN#ym-M}GYmv5`tx}n
z5so^J5TQ=hchQ~mEhQ5@#m|XBJ*v0DyjprOJ6KffHV~Mi(O91Wab8d$Z|*caXxQ{_
zIPP^kDs<+H>YC^(#<r8uC)pH$bhb>dcd4i^e#zdaXQP5m<ZP#xpI~GSetK$({F1uv
ztMHYW*a|zj2?-jq-mdx1;TKiQR&^P)y#S&lBMt4=vmp<`^_+AFdaPeYak@XF&U|^G
zHQob!2bVf4seNg0QrD|xrk5n&c}Slw_7}V6lsE7w!P`%rr6fAeWU5YjUHGEFYF!~U
zh6chN$7Y1;f-xp&JksQ{h&U4hO&qllN|haO<2efpO}&^#hx!gDSNcf(gc^T)5N>$2
zWeNM=-POYFXOD#W+|*w2Px0yZ7T&9;Tr8lR%czC2W?uK?GFq(UJ01(vQegNU#_ltY
z`uD?ULYW`~IuDI3yd3lL_h$zK{xL~c*by62`h7yCjspyTQQ2Te-cJ~^^pGxeDXY?5
zux*1vpu+TIB`1)^i+`I5tatWdZi}`6x1N-K6>cs|HX9rSl%tAUT69s^y92ydT?}7%
z*_hvo(U5G^pY&$jNdxPpjW2M7bm`B|1q$F_%lpQwhia|Dto$%ql$F!jnpkZ@DDQM+
z+fiT~F+uzy%7~iJr6xgUQDO0|pJ2-N+^M{*yfj75OMQjc;(=^rY7dUhzBN?vSe|^8
zM6(OR!59CUT)ln0!QFt}vCL$hq8`@&;k%#>^Ly>(w0JDTy9R?-2Ei*g-+{opMU|a6
zO73*f&h{yh+D>Jyl{q_8rYaczF7bbSJGMSacJXjOr)6V2tS63x^h>q7pf(5}z+rv%
zTxf2zaqaQ>2;0&5Z^?2Se^QOxe1Z9i^T>>LK^NoRO(CqEQ?Y3##}o9NDFEX{CYTV!
zx)_JW_I@)wG>_64Xv+v9Q@Ks#QkNiO%zE~IZsw1=zX=2I@b7fhPWd<<J>gR4C}LcE
ztlvHL>&F32-Gx9+0%ijjlZ7&U@Kvx>I<MG^!fUC`O~FmBR!Pi9v-QC=E=<!HJLC1Q
zyR8Q)_*~j<Ss0_$m{eNuMDAllHjFDfe}@-rZ}J;&64&qqE8*GHbQV(9L^UoD>aAkc
z9^i+OyL~WddbQGWJfsV5;>Ca%U3Bj{{?sU*#9v_yc6aJeUgzdtz$aATZ}XedCBQ7k
zP=Mv3y=-nFNs<$fp6f^SFO+2PT=-QT=()S^XNEm<_;h(1Y*8a{u(YXSSZyZsUUYRS
zkx3QA3K%mxR>&1&3JzU5tQtMz2o`+$VRbdwXb>l%O*NF~_iH^t;$Cp2r8NiYI^u#=
z<U+lU0)$WFb0;D_Y*Vq9jB|!cs^eQyZaIx2ui4{kcS_k@f2=bV-F_sDdxGCEwG(1c
zbE{>AXSgFczXcy=!(61L!}DWK4ix(I5UA8Em0DMu&9nt@T2sU$X<GgnSfBTcuN(8g
zop%q9%0Fh%>Asf_@M6ykHYTLGkK?#`oV-m1_VTA8fxt|Zu-4>*6bja73)FaOrp5F8
z4e}>Ai12By-Rw;5l3Ng}N3W<)h<op(b$;BtBw<UMH$M8V5oqtNppHJ`eDg2+s@CR8
zzN7)G!&V;{gPi5Y@_vU<WXq{p&B(3eo7^NfjO8e*-(<Di_Wg=(Ygq3hA&)K^{mmV;
zd%B%<c6w|D$zP;7LFIPnC7d~^MOK;#MPkMFf3t7@`K{p13}cJvOLerD<6%q(f&!Cw
zLq_M)iFP6EKZ2DX9@QqZRD064)x~c5Ssgc8KQ8#l6$z}uvE+77J)excnZ?oe8U+s9
z;{{FT%@-5XAEvMJkaIOUbCtJI_`EXZ2)`jO_@5tdZ@KR6v#vjyz_o!BV;#V%PKum3
z;(-;)zHzy6W>12=7Vlpq5@15sib}Qp60>~Nzj`s<1Fr6Ln5{a}Cn&)Edb`5?M4_kX
z&U;!)p8>JJfZs|W_$PPGVB4)2JRZ0o@$K}^nOsgN6o6scGe|%>L+SI*)PiZtGpX;|
z<wp)CCe&oZO75fZcmu7HP`e)Tjwa!LM;t*x0!Fb(hcES{r0%J8+7gA;f+VJar)Z?!
ztOdemYH~DRxhzmPALBW1>o*pnmv~ktt~tF$snh|Hr!vy1ui&ju3&v|h&!KM!>YN2?
zD8MzeQgW*FS4!L?5PlP^NmfZ)W(QTxE)?Q?kH{&YVkjqY4<z&v*dF!1(%i?_0y(Uk
z4&Q(NdG1DPm!!5QCvIPlx5JdcwN9M%C-tu}D_|UGtF>QFZrVINe!Y7wsEeasPlmzI
z$n}FlM#F<GL@Z=>Ksi>7zRH**iIjng!iT<D8D|WHojFHOq0ju)AXM<1Z2c3<LTMoF
zjA8}PB08_<R}HJi>mh@L!+wNa=msN*8o~@=R-fbnj@7mEM&ozuwU6UT^II+|jH(|L
zJh9ovZh#zEF-)+j$|a7u&9+p&s3{d((t8TjynK<Ui8dbh9qGYPGV2zN$Vvta=`gEa
zxBND#tJg&=)?MGcc%ow3$5;a@w2SSi{2$$%uG-g#^St80((=JZW3YtsVMjob4&j4c
zkpgS>r1?*Sy!E2-Vjl~W-yhKao8%>zKHe_EnT-V*>x&|=#2jOzD>@z54M8-`wo6qm
zd|;xRad^Iys>C?=7dT(`UhhA?9H)&Ea{+!!wo4dz#?#T#sc@Khw6M+y3G>_#b2F3|
zXRO0VyQkOjxY&^o0hF3@&vlka3M-NA^>B2IZBoyH(`&9-;bC>B+60+fI$Nz)f@V#5
zBlxHTaF<yfOP|TXhf~o7AB9lY&FZ!F`q^F#O<wu)<%J#YG6a;g%OmEizq_NqG_d#4
z)|jq>xV2SF27V=Hbi(7w00E4HcTAu&r{<;7id&;A!FoGe5q!ne(RzIsm-~2LnNroR
z`h$f6Zmq2*6EI{e={r3*U`q%JVn;A}z}d#Q=H26BzQ7Ibd7(GelsRSAY9U|IQNlW%
z460l%e1MVI#iCov=WFk5Lim<~igo1&3n^oaX1kR|R*~`v_B^Z0y@u2)d0$=%tIe(V
zH#0-5_-?h%P||XQW+6NKPP)~Y%-Xo_<j@)>m|UJU?%bY-DCR~?nklxf@D$jj4yT=7
zZPu{;Rl`KB4|3<%_u`3Qm0y^S-pApP;^7pS|JG}_vi;!oW_nS{Z;VpA5&zwX?B*M@
zpF8|IRrKu{b(`d{dYqdku0NF@F4!=OOj~d0-kH8X7r!8>ZY;+^`oxm&q%>A80B6Tp
z5aV<1RvmG*jstxbtYoTev8Cc?@>hA&X{DujdU6fCAhM$N!yG>`?(AgEy#}-26dGg7
z9RZ_K$0aCv?%5k5@rNHUi);$@1qyk;ttsJ@)0CYO=>KZCnQA?sy~*!*%mL@YEb}>R
z##_{rdKar=OzIh}!tX=w5?&8du4MsR+TjN{_FwQpL#f5~bLl4&RRu0?GpkoNpMlxz
znx-~r#?I||#%*~W%qU_)1a4OS4sOd51QZVw1>+>-vQ@_8agFuATjRwEbO8LkVGcd!
zZz7C|P9Ou$EsB5-MBI7zfvk&q^y5EQB7z69Yrn4uR*z>VUUIx-op0OtBeq*>&Q9bo
zGB5Y3X%CAo6xmz7x;-^#ih&BUJOBlb#zAY(-*1}s*m^T@DTSn=JU_4Z(A5N@DsGwo
zhKW_$@%xvm%exuEcQ5rSP2(TlR(q?}ZgqnIskbhQfr;(JWiNAf58GH#^kdylG>b}y
zC-8BfT+JK0w8QxI&9u?{w#yi6!X9{c#oY3m;&B~svznxO-<SRc1)$_TDdz?tA1Im-
zfA^&_&Cr^VB6uT{DpjN{Z^4`D!$NcCUF^=;byHdv#agaist)`H)%9kN+4)yoW9&s4
zMj53pcRDX6>TcUQ@L|Yqi=|21!G>F>?@IW4P0W{n*IE_c`S7AttQ`AhfCf{YL_QiR
zooX{bAEHL{>w-v}2W|TRH+1?S>Y+ARh{<K+-pEBh7IW>yZx~r`e!&6gSovh?@6sr4
z4E|zy(CK>F(QUY48Z3yV)d77hRY;|YcOpV-0<L%8+FIV2w7a+0dPjG|lo5#c)%DfR
z&v<z(5DZ6;8EM5@dxMO}JCoNJ4o29qs1Imeh@rXNHh$HaT=&@hN}r)4ea*h%FDjgg
z2B64Q2DB)Di&)v_SgCW-)E_;@(9~hJt4Uw}hC(PhCh=Fx(Qfje8`yK{=#<T5U(}CJ
zFF0Y+{pg4yKXN}W56p%^=U+7vEDh#m3(YFLnn~oWJ68kArySH4zX8ikb=gb}MB)lK
z^|)wpa{JMQ*x_dW-j0`V7*U{-TRM<sG+}rx&K>NY-1}zLZis`50-iVQLf1N8luj|#
zAh!hZL~3j%xYe5#UW0tnv3V~B;=r+aQd09IpB5b9tjyPPV5-K|L)G=fvF`TWZyT3O
zhPH`wbN!^d6cIemp8k!g+uaN<id0_;`i}9eqXc_FM3IztnE%Y<(-!I<3QB>8kr`v9
z<&Q-5Z#{(^1<~gpU2i8c9RU?x$Pz$36TvHT5sZxfrgJiv^3Sei%Vda_4xI_A!T7i(
znjl07onGGD-mU>wnWwUnogy*`BO8+$;k3Hl!%8$DT58Gq+Py+O-vuOnZ$MS*3&6`Q
z*1n)ND%^sG%sS~T98jqB_Gx`IJB7Ru&o;#4U2xC<Im)IMq?1DVq5ihFV~}OxeRzAu
zJ<rqypPqnPA<-Y{bYL~6A68>d23)u9oQZ-qj-u0-<jf-u6XFy7SSw7k#f2E$g}7H5
z;DF|w!-h1EeO$XF!LlnF+v^TmR#CL{<4=lYuyf=Kj}Dl=LN%v1WBtJTC)|~p>MbfH
zj|2Z>FXCGesYtBcU>|KAp5DAIFQ(~|z~+3L`?#;?Z(cTqc=&d^sT}C%9Bme0*HyZd
zFBE;oG%Jv+j-a7C4rX;N?ORKXKdJI!iSCyaF<FroFWF3gbV;%DLozNFwQM+z8aEZF
z+{`4ihM(3rTbLZ@t<jHq`xP}+o1;K^BYRiY-L`%39_$1cp3h**%<6t%l{vxDZAp2z
z0gWk>m8C>H^zSTtCA5Lg%R2EocEnrDd2g*UZ2{rb6QDTX^tbOdkdeCTlI(fZxI>xB
zf8%JH0e<6pb6nWWIS$4#sZHVKaW7Z({H=@SJz7R#;phy+#>WR5)Fy0S<4^a1+CbVs
z`{q#yxH8m^pZ!N@$#*p(+k-!e%R;F=p}v3Lh~SMTU*C&_$DwE&7JMS}GxC`0T30AH
zy7|u9(bJ!O(CU~}L<_?#OAxlO#RG9_>B;(U><>EhLrj#%rO)ff>=Qls%|YLzPqVX6
zj=JfN6l9&)ue%V!SS*F37dtG&tVH1v=lmX}(5>hvI5Cf<)~XR%%8qQ}wzUs2l(hN;
zw%oWe&-&SxXSj|3);1GJ%OfquX6msw)3AjI3v5OMTXeJq*aZF%|KW~<$=JTQA_cm`
zY=7`Q-1h|Q``z#CizZec!eLcQi<Maf@1J_VUH*uZQm?lRT%leq%WhGfH{k=^A79Ta
zIJk+}3xXXceh&ZgC6#CETlIH5(p~;nF%rnc#0W=glNPjv$j92h28w>rVI1mRpx`u@
zS4!r-WSXgut&5WddF)_%B#}|=otA$it#nILo8p9nQUh(^NcjRWbBLD&4IN?1IS^=6
zlDfaFqx3TBTYMGna<FDM{TOE<BN?^+d)?d1`d|xHr*4Cod2hN+b;^$bV%XePrdi6u
z8Ihn&b7EHAwQsN`GcldXVFS{1QxUwnmIguyj`nhP1z(+Sh1!?guVF-ucE9M(;UJRP
z|5o%Hd#sasR^~9zRk`Q~Tqk~<+B-g;r3ozO!4Zj;UjK6p<BUb>#kL%Tu8X=TAtipi
zlA%aLtUg4RzWmc<(f6WtMNqMUvZ|!e<w?gZNOeXiBn(~a7GK~LSV4_bO6{^>W?9;9
zNTH?dmJK1$9m;D-!t_biIrEHdorE?D+?WF2G=mZ75@<Yw9fb2ydlJ3FeWy+Ky-@iD
z*39w&kR|H;<H{~4XsOm>WVt_k{DMKK59cKXXv`SrIxmtS6Km2Ya`%Mu?JxC?7UL{p
zlCX>I$#8CY257vTy0ag-(DKEmyYw#`F}`QjoW!x1*XaZBSoBjKW1qZ8jRW$P-0jH8
z`5FByRB3#^+unto3=U=9{su(oux8H1O-E05`0-CNa&{1Ze0{=Xf-l$hU&kk;Z0z7D
zY4Hg{8tE%;u*io4;;K#)eN1C$IRVPwnr?jE^f}OfVH_}KDd`h4zMVfJBO6fZ!J1ZJ
zr}SW-rWv=|dj4<TSWOb<p_E<F0wpgX)HvExD1Mc~mY6RM6=NYMizkMzaUhYZSv(wh
zwMBWa?bmMQ9(3yN;4z!y(N#iHEl>vIdx39eKbhQp$-Zjh2J_5gW9$U5gn&&of?d5T
z^votE9qg6_lN*h4Hh7J@GiA*Co3)|{>{3rP>SDg8??u5|IKiN_YiG#8oxMluivNap
zb73+|Ri(27E!AMKot}S#Gb#5E2+4s}N1V3~#uC~TZGtw59w1~AKRiif>$rF-BkQp}
zbQSaUD`a43VNNIwG7ll>h6Jx?at0#S9v#16FL<oqZbeb)vjD7%ww7bJ<M3B*#Ai=J
zb<U#iPWuM2&2xYA@M_$+J@Yoe6ESw$(jL;>aIfOUYtv+lr{A4AvzD}a>XE-iMw{oI
zg~^*3--;?9xwDgF-D)5t?_*KVK|L);iih>XFKJso(#$lnO)E0C)0^SWe(!&>exh&{
zicklQZ7@1hQ<$AUGa?N2_TR!${a+oz-k*iOU2yB`sTgR>!i6Igm=@t3x93bKJaV-7
zL7c7u4yJ_$JT?5$=c~!N_trqX^U(aV6x!-C*}bj_HfibMVl1mKzgxa_P$aD|bx*F<
z##UT$&RiYnC}7e~plL>%HVJL`%Zz&-hlV8&D%3tFq}($lWI&41spjAQU)JQ$cW%#)
z<y(~p8q5PK>QFx|74nqvZdmP`eAgw<rIMEX>-sN6g}gmrLReN!TxD=ZsEhM>rU%4%
z<+3{Gj?%s>Up#|XHqik{Ek2U_IFGfXCQj6n+<u%_+P(pX9Cz#ZO1Olq<GiBC4ys`9
zN5b1YR`P?>iqvkhc54{T!CN_9G#B$pU7Kt!ktycar-dzn-#o|YRZJbF1D+zQlPV;K
zPM+=M(?t_SxMyB4WB=z%LeR1o|MmFddO_O}urE{^tV>8yTR>J(bl1>GEe*Pa>EP;(
z?e^_wh}YSq4GyD^47tWQa}!VbDsQ!HX6N4=Z9fBs&+;VYO3+Y|+;^cR_Sm5z?A(wv
zWBJ>I!kC2vD}SNPwB_YjGory?qi<R5hRou8hG?<1Jy)vOiF~?zA_SbXamwChjFlmB
zZVB1)_|URNtMu*}4d@tk7c8DW4#(Qg@R(~`rvYg&Z(E%UM|=D%h<wYpa=)(oeX*95
z|Frw-YF{q(@s>SL7)WvD%x+LT*0^_EX-2Ef1(jGdRmgk2U;5yrTyfYgNB)e7dac8{
zKIB{ZbP+fw-FHeJilfBLR_GQ6)ihXV=V2Fsq!~YRydP^gq!0N7>CJtBUxp6OqQ~_N
z2wr{$!rJWbs_Wo?yM25`n6aSeKVU4F74rRU@PZt4V8wV$h5EkFUtlOYAPfamW*{|$
zJ4$l-Tl2CDazbJW1HwI1K-2Qyh{y68#GmUwZ?SD4d*9=LdL7X>$__JQv**##)fj#3
z$*Bcl*z_5Q!mqq{QeFzb)P35O9ONvf{2HWc_C0$^!fkBh$1Wq7-HDFEwu7-o2h%aw
z@|1wewHF>m%q3Uy(CqMqBS1%DoLOYX{=1PWUn{JJu)m12rPIc|ZL+8l#k~UO$5nps
zS27Kb0@=Z2v<^=IhYN34C_vH1#N9wU<0%$VVNB<SX)L6#3pBjJQuSm6%7>GAKN}3*
zTN>SC>}f^PA?t6j|Lw_=eCg9wH*$4Z{`f%~;czs=Awt_(;<Vq=V6{f;>YtPVq??GT
zq7{jZ3FCUdJtT6UQDEfM9(>R%QdXRu$>sjrj!gJ2K^wwCRh?{ZGK*9SXTi(=cj@Kh
znXBTDm?}p0)yB3}8&aZeuTl(u<7tJeMW9M4sI@1CW8;Mk-6Swpg=xkPu`YQL$2(Ja
z^y(`YYw6{JhT`+s@Nizac{nJC!bxaJT}>vL+Qjv03J|}4NWgywE@e6%q1%^f#bUv%
zPWUm6*ZYDqneX?%XS26VF8?ASho)QQ-{Z40TKz`8i35ho_L!1F0d%cRVQw;*2gVN1
zoW0LG8tjr>TC9F0)faHDftTSmh?g9>-?NMc*E7aGs2`DHhLJI#rHm}m@JF9flsxEg
zuh5;=3lqnS4FGwO=9O!%$@peAtop`r3_Nb?!FavjgO}Q>Unk3aQGSg2!yPy(3Kc>&
z*+uKp7?sYzF7BZyhJguca*X0$P*gzSY2!_nO#m=@v+wXZ4uj&r(%FKz9xmp^p)Kv)
zuKR=dpe5DA)zW;!DaZ#{(Qd2T&15xHAiXKD;RGIZkrYRM9X8QvH~3vu_`~^UdOlRk
zz9tW6l7z*nme{!6;K+%yh_i>1OD*_%-Rqmpx7vVz4Fyr<SVsA&(JL<P<rp(Xwd!Kf
z_U`{TA6=PSZsm?m0nKGalh2;#LhMn!MR!d5pKHmF6@jr><j-{M;zcPiTXjOQmgjhR
zv`i}*plS64Kok}LirWBRFklGicevEE@wWL~t7;f08Kg~xz)~~Y`TFzl&y0^BW|FbE
zNkip@H*gEIkokNv`s=!cIw{CTO^9a7?HoBmNJvOsnan_EyGU27`*N~CkQeo=AyXo~
ze22i2p7ZHbY|v%q6FG;x!vcM`ay`irxmhro11?P3n=aPJ;9{oN))eGQd=)k&G_HIA
za$5C_d(xFFXF!j*V}<et-+|^o5Az*7O7s|ywYB2MwNE6iL0kVAhMaK|sNO);Z$J+M
zj7n<yns@wLsC>WgoWA3qDGl<&UskXjdjD$jK-#vB%ef9ECH2c@)Zonpgzlw>Q~d9E
zyKh#==rd8mEn>C?n)}6|8AWp2OXq?5^BBBZZ)qlunDn5i*rgU1kYT0)ZLE(`1fRgK
z>otZ`{Zj)qQh4x43VXeu8HO=@+@;S~3qH(bJkJj)d!Ije*bURgnc@Zx^PE~u&_X>-
z!NyRR(Ie(W(eapBH-rKAC9a;m;=l@+Dm!p$M?9s9A5KXp4!<G=!vjMZ{ZQ>Q5b+(>
zP5cWDw!!Sy{M(1PJ9P=N`|p13{4K*}5$!w8X#$0F^8!YfzsfsL$3QOr_WVtp0KnTL
z(}-MY96gYOkpGhAUXB5ZaG8T$TvJpk+I7U1uknYX^TnQFdw8i&Ux{0E-!)P006=R=
zZ+%O_Y5-Huc}&rZGPPJ~OxBSe?v#d?k?)UJ4~(F<wCI8T*8ZLIXi>o#{&m$;IB38x
z43}Ro-@)D5SRLPzSQ3=){@|y+|7nb;z&vDcP<5nYOkwidgP*%^0(y(Vq#Qcdcbgmr
z#=|`!(L0STa=u`y3Qluqp&4?9lqrqejwK;&jhMM6rg^V0I8sfunGd0cjgQB^wA*$N
z026b|-`ELlTAm&+W_lRT6mj*s*$kTl6>aVo>AzRhHW9kG;<__^Z&qe)oo+6mNweq+
za5)J|DfLCaCIuk|2B-#y*Wxo7-NS0n+Y?emW;@y*K@M&zHlR|BMAqATpK1dam}c6K
z-UEWMT2y&8l2gRqpeLzyoyRXZT3k$4591F-xw?TA6SQes6Ep@laBN#)wCVXi%%FJG
z31I>GvA6T#$Q)7v99o!tkm+oc6#!0SgW=`UgtWhVKrea4mk(0EObAqqabjCFxJH)B
zGeG_4;83po>e1i51Zn&=+M2;$QAD%KTug%+*}lWy<Xbds`R2tz+<!92B|frQTr`9B
zYA6le5DA#wu&{$z*S1Wo!HSg!^NtnF+bK$>0VA4;PY&3#dsFA3r^nu1y$YZ|P*`4l
z7gf&}_*k3RRgAT<tCpu_ep9s}wiy`lB7fs=*;ik28?7zncL!DZnU7aPjogUZWW1GD
zIK{d#walLE$c7&Za;ew0?6x%VLQSeq17y}#9u67RnLNcK1N;vk3TpVn&i(GZl$ZXh
zxip!;u#!{AsxU60*HrJj-Gp&Rmq_ell4x^-3>iDP^gkC8{IEg&jQkt8<7R;)8wN5(
zxwfetumoy&#X_jjtMH^CWXlNirvgAzNvjJiswc0H0XSMlr)_u2QJuRmBD=Bb*xD4?
zZ@!&8%mwrOc1~QOi)^H>S@fVz(3#fj8<A&a30JUGyWz#2P5U!(@w&PUa|UD-94WY;
zW>Qcr3eWrb@A(c{V@vtRM$coyT?+3Ris{c~Uksl}N->gG5va|L1NU0ld-t`tSVPR(
zAHB!Dww;drDPAa08=T4D>am#f+e?gb<Qv<-DQ6Y@_2ikr7`*NrZ}qf9oG19Jthey<
z^C#R}+*Os{l2$*rq?8%&fBe(HSo&QMZp0}m>5~&Q_4KLm9Oap8cCojOrmvf-VKp)I
z;hx)l{Brd@quIY&6y5TyyK=4Y5JP*fXmYONY}5V4J?%TU=#cO+>VKa|fw!t{kqmPP
zu7OcJ+|rKM>ykDwcq+>E*|VXhkUrh&8gP6AxoWdff7`0g!1~2icGWK_eaA?PvJy^S
zd$hT0kQNVA00_?fmn3bGmI_F!PJcZRKs{18$Ftt3?-;?*%>)UDVaXS~fnbED(tc_C
z4DnPIbTW&C^LH{~JA-OU4<jiD?d^oaD0`@jEJNOt?E`o9O{HZ+0kqe}b{xUhJO(TL
zpuj<yw%54ZGd;X<ZO#-5JA0~o<)ipE{JIYaYujn_nA=hU7YPAo&TjM0N+m(~!0Ks*
zsrw6UY>IO2D_3bL)0YP3%<u3q(d367S0yi;Y^?oR@qDA9L2Z2yqyCR^Ch1&}?UlME
z)nP^3iCs?Gyvbfr8)J%^$VW?4Cu#=xA%#ujyn@1|Qy?X!7$1(Mr=`}H76?pF*In;q
zd&(PHcV5(Q+xzh^bz?KC=iX_DmP**c_={<IhBGO!;aX49+VIJ;G@`HO&0O!UbycrU
zPR!|nju;Ee)VYA+YB#msKrH>E0Tr7BH}UW`(Do7{cDYP(+;aaC94RIB4NzG);&l_+
zMilKI8CIG`Bvk+4eADvcdiff=ipbiDFMJUXBPfvG7S)D;<hWd7njL57WQ|&5!3d<A
zEVxs***^BHK!{rYukOD4sp&3yGogi!Aieqq5EPUuy(t}$B3)XLCQ22M9zYZj5ey)`
zD5&%%0@5R0>Am-kp@tqHd)b}uAF#8(?PoH>kYUKpJ?EbK-1D4Il2!;j0NLbYFgV<F
zEWK04Heh13uD?<Vz~DXu_(2RZeW^I<dDppMx0NZ6Xc#!X`(|dvN`uq+uM)DGAdl%*
z4d2%I>+}9McVd0Y8hvroGDyhtDjK9O&*X$T9t<hTEBUob`t5$wh!M<7IY9jPW(l*p
z`n&8Z;v}DJ8F7Q$4J&^-rRv$G?@03J+i4~3(<PT=3^`}Me@$U%t2fZxKY39&zl9%K
zf4LjG^KT^g4M^|m9Oi(&g440yp$q6cD8w!-9=(){nRRU?b||{1At*J=Y6tE6a8%0z
z)E41QT?EB7b}xJ%<<YOSietx0h2Og>5ETUpafCh5)N2NoGLDYQx5hz}_e1`CtEO$h
zI_F8f@eg27er{|xk=xFtNY}gT#Qpeqw*M}Gz$&5``&h~$aQ{ePeY<X8#t?KszAw$b
zjJ}YYCr&nJ`2Ov2aZ)P>NKq=6!d4#LYeZcE14<r;nrOuU7~@a*w#D$G%zKH{AYD%D
zoxOP+2TH5@>)TloD`LV`=AQaN2@Z!dpXBsdu;u=P&$+}tBkMuPm<Qw$jEM);UX{+S
zaN|44^h_+{{ZG_ZC+@V@hi^5!0C=GieefZ1B4w{$r2}}vO&V*lUYd2x)Z+h^yIsbG
z=3pRgWXpK}r+XEL3%dIqi?#fZ^7mlWHtcIVH5-lN8x>hGmH&eUC;@er`7eJt=Wjzw
zJ3wY~tDf_dVXNhzve>r6CAX#UpIH5paTckWdymr(p7Zd!xO%?<O$WODSiC_VI=OUU
z;@IJEg#olp2SGz}VMnC<ZF!XvQ*}~KRb8A3rG*q9>R$3&KX$fS-D7#sEF2i|k#C<)
zl&=4L=RUk>^kE#Av3PrA#E&yfZarX3e|;q-6ArBB%;4?Ywo5Hza?GB5;OO_o)X}**
z0Bs-`07a5HAFeXu_DQH^)#vojy2>Uz_^V1rH6LI2rJ2n7<e{36!Mn)i{H;3U&{Mlr
zcMs)g<EyP+^ri&m4#in^%Ch=*y_XLysCcD8#6t>Di&v&*>mI78VpWwAh7_0JH3AW>
zVbKDr;Fxemc$DNBD0i;V&e4y(`;`mdbX0!$3U>{MygG<?K1OONOd@^6HU@%89zZJM
z?vIMM<^Iy(IR=I0M2G6<!qa_JK4SnH_wpgJ6>14oQVh&rU&+n*r;=DZGOgsYda&HQ
zs|<YLX)SCvYNZE6^TlKiykV{Y-^7i54xgZ@mjAltdR31C`6#NsJm_=O&ou!=0rW4o
zLRA$XAIXz<%PF5ecw7OWY#2D#C^kFHWefqK;qU29Qs8xXXjymimx;I0O*?ZN7&i}*
zRFJBtm4r&#_<_o;z3us%nH%s^m!O9%M&)}nVYdcng9m}DzU2q1mx!$-0EnV(is%Ae
zL8rXbWs#21_iKD)C!)Ilb^FK71`InkiLZ}nF7w3MaE;xOEw?9RLY$Dz5SD(+RmZ;q
zofu0WymiP00>~jKVWq;5DZY8pgYqgNl2dRWy}LTze=%9Z1LrM#;h4UFPAV6SC~sU5
zGEIQf^><}2H$6jljr!%k`?MO)wlR4qSrQ(Xu7}cErUwOJ5YJuJ5c(xAb$MS``e5Bx
zs>es0T6+RPSB3G#Iwn9ek;bm~ss#V))kLd11&V;~C;%X5Rgd~BUyx#&hOQ3v-Ej{S
zf_iJ{X!CggFhKEXgpZh5ldA{8(cy_0zrCX^ufvA6N~O5#w|AqozvRocJ~TEQO8=Xg
z@O*S>m%H}N2e`AE7Ym@OR(%EYWL*br<)XQaqpBUQ*+$c!2#i^<9t-Kqtz<9eluYo&
zSB;}T<)8*Z32US-BHWb${WN2{>T=p!%m9zThY=Lp$*sT(SyJ$b=>T;RyS6WFA=i}t
zaI&IWcoFK_7L1{l!Od!SL@4K;@`5b3-}^w-Denw6pV*!Mt>S5s+vs1*Thzs${xg1*
zNsX`eI`a7iq9GnfSN6OPmW!KZbnUM^8v!G0>aVD}$G?mv+RaRvGNf#LLHBUSNOyJ-
z#9p0d$(FR)w)XelZ)Q&n8N`DVcsZZrMOCjE22e;*{h<AI(i4oRx#{`b(vzhyZSnTD
zmcH5OHCrohDbHuZfvMY;NmqDZJGGf{*(80O3j!K4_u|(}@Sz}u{;kp*A9~nhFZlQF
z{?p5-?MvPACENRBFaJdAg_<l2f;{WrlfS-yqMkeO@-^HX4Y|0XtlX3fYEaH>&OQP;
zAl}dEouy#mxKJpgY!83z;v(dz9|XX`s^lL-Ke&*Aw(PMK()o;QVzl~C4`{H7WqTs1
za(aD2ZZc2R_<>$?!Oxc_QEyqy6UypEUT~z|v!vvjX!$^RxJ?|t@g017X{|T)7LCGf
zAS}$kljcRJ7hdUxX1O4?44MPgT;m4!s7QMFi}meb?)Fm>J>qNovKE!UUMG@!ub>uJ
zm|I3c+*>%-EVXLAzG=M%df6zak(pqI_Dk811R!*_sQ4LYs6sgMwKKW=6;;|Koz!)6
z)R^e=U=>F^ud7=8hFE+Wxg=zc#P?KPAy(+~$lT-UOy47B#nTqg^P_xjgzi37IKFw`
zUIWiYJLglg_9?=X^RY_Q0KYAbb1A`P+lpYDZHFaU_yrd+HoH4NDlhioT5cqfoa@c&
ze^M3(#PR!zxbXmYDbLLtP651GK|R&e-Movh<<Y8WTu5~-o9cH}$GI#-_YGT5BMsF+
zP-TkxsJpZGc$!mIxOFUek6xL3qx;tT1wu-r^LsS)2gzv@%jbD$0nr|6PL355UG~KV
zJ{r$w&khXdBq+~GZ5x#*kx4&;KK3=7;nC?u;)3v(GPieis$J?vm%b`??QNw(JPTVu
zzCQ0U>~5mfRerU^p&(3vYkg+`Gv@s-{5@-Lu_TR{t^35Ya2qO1!fNQw-}L;4L^WPW
zx-50J^l##FlHz}xE?x#75n6=c+b1~!SMMpl5=cttVgLk)k;Iu&!mXvpTq{1h91HUU
z28;n>m!xu$3scDl)nup0R{2u)%uP73c3@daJ@Qtp1#?lAJIg0goS>}JpNMcZ@{M}0
z8a39hkt&3D9@Lt(i4Ky^LiRX<@^PGUfL>_zE(k~g`hj9PPI}}C%VM_lid4at);rDI
z1zb}=V%Fu{Z_E(4sRDX;V9Ia)gZlK}n`>&|a9fn^cB5!7cf0jD72TsdvN#qy-Tey+
zsiAYtlclyjCa0J}WC24X{3RV&S;TgugkTm?g@Wg8&;+cM*Ay+X3WT@hI5nPObA2&r
zy`zn44}9TlF7Em*=+&aiwoXhxE^r?c3iYNxnZ9P*1Ma3Us;cbI*uuh3R+am9r~5UI
zHq^^|ivw2~gR1y%00Z~ycXNd@x7;a4BvZ;ax&an35xmZP^ph*L8-M@oA@e2b%U`!V
z#h6I;T!J0H@^FwdATY4dJ^NaU=Q%}AF-t}dNl+d+PF+p-&0EL{{IjDC-35x7?hb2@
z1H-X*^r7;3X!Bp7-2NM<i(c){_XcL5AhtG1lP8uk_DLf?&GGcqwlCu(tMLurg_^?Y
zWW;nQuOmpGP;w%1RTz0G<K3Whv`D7!tH^}`1LHs%#3>(T7Wd+5?Gx$91aSu6z7b%Y
zqNAtZizGSdybT21jYpya`8Y;Yd^scM`Jvc3CN|=S?j;0s7`R&5<Smra89f<BUjNn!
zr^MiN$$%jT{qwu2X<sWvmtTpZ>anfAZ3A&AN8io<ulvoUqX!Ed7i?fz7q0g4`T1yp
zxZFX;BL$ymMY*7aImMuahCZs;dq?sp8zCp0pIoNyZobK--V~3jRt$jf^svgnE-71J
zp{A=C0EAC_(nb3Gbya5qa&P><M%+4d@cLA2CIR;4cJPQ|UCKkda12oR=AntHHy({7
z-J#`;XTWFX-ly?U)w$(zr^y#1ta!dv!OoU3Y`hN%Kc1(WDYle7)dZVG;IV9)Iwud-
zgpqCL%9PeRTehFh3OnVe&RR4m^%w1+Rc+<Cy_@-=_mVNX28L-%F@Tn~oFx*ueEO2o
zAVzmfG?s&Tk*z6kv$cl62VC5-elGQ%KIKYyrl5<}>d{C({Chm$Vuiv0<al>s*Kbj(
zM+}{>`@l}ymijWrwf2wEF5Q0n1_uY)(xw_OuLMXSE*`g9jf>syoaH{>Ll49kV>o{A
z>mn{=YIFl13Dv_@9}&-rmDhAUv|K4>_LMbic*SOLU!w9R8Sb8f`LYGOg2Z1*<e_-1
zE@$Hr1^b$sf_E1Uz-fr~9DOEmTL8GBkb8Ja9%wU?#zaud=~+RiwC`#sDgHE#@Z1%T
zW!$=yY(J$?2<jRGD%A&~K8;XWFXsgHOu6nBUG~)!Zf-tY;@s1kq=R+!)9K>iZf^zJ
z6c2FjRsiHqY9m0{!DuzXcq>Xf>u2Tp$uaD-bdIANxhfa65Jt%nlw^$6q8-1|B!HxU
z%e>~PbPe>#SBNPDB8f+kn#+N5NJQk$#VRC#M#1g8ujw_`VY_K%&2>4B44gW83JP7I
zMb`4jNcCe5>4}gk{rQJrXB6f3?2iu8f3ga~iPec`4Or4rFYeBJM_+J4`#~8j=;7;+
zx`nS)zYkr9#qRY)WG+r{=UnHb!oRO9UA-I&906FwH5Z!OyQ@vxp<_?C=3bu5H^DcT
z_TMu2H!-E$WkfdMN$2oep?`J`g~=U0{>17i;Qj`=wh4fIEQ<cif__&HE@ro@gSz~<
z#ujXkB0&~<mrUVe(|ScJGg4cK!B=;9XlYl^o2eZM$@`NYLnP<ytl6JDDF3cgn}y{O
z_F_(<tB+IG>nTNkFq$PuEUWf#?5^r{X)a)&B!g$<)|YBfG`8I@#BxD7`L3((0`^&2
zOsChw+=aDR#g5>MOSABBzJ>|KuzNc^o0RT-0$J6=CJu?@KwDh#Uu=+vCpMhOec_fI
zK9@F}Jm7(i!9uc-E4DSgeDF1(PtG%hX_~n^-L4%7O3>;0@k6A9#vd-de|4<?Ejap~
zxsR^Nwp<%MS}fmLi7%bmv64YmRDrx2YXE>1=d*o;=AyZ)#u1>o(K=w>*cr{rs)@C3
zlI`r{l2!5F=c&rFO&=>%baMr^;4xfnFwuHPwz-s3v3030)61xoxRLmru>DdD_zLct
zNBr<L4PvX1lF$$12eKlogP0)zsFnDcpwBsgU_e<sG(VZ(qTbJ$<B}`)9=<>CrWtT)
zY%cvx>B<b8R}|yn?Ax$SsPGk3bMP$r?BDz4{!ngixs!D$5`TatDG#FkSD(^1y<f&w
zqxAu75$`%0Mazj?6pqEncY7-5<epWj3kOnlbE>H|euKKe{R+J(>Op^9D!q{r^RL|b
z@1^cQND=^5{4{<RnHo72Lm9gtHYeAmtjn(O<pp7cNFc$#17HZ2Yk(n0Q+yRD*x8BV
z6m(lSsjCOzcYD{zF3Bnu2e{nW{rMc2l(63kPI&adHe>2g&&T0vgPH|*TSNcjobgGp
z-cjsE+48w8eB6^2oa<OnM+e92;AuRMFTlXqAuArZSV=3mJl-$=i|B>y?^zAwSj&*l
zec%#UG;t-Z++^CVIFn3ixn`PRoM6*z@Uk8LRF)a586J)gg;`Zgj!me1FS`<=@^Q&S
z&D;Qy?w)il)j($#p<KabZ?Tj};nA#P$Jh^tYw{AJ8|B*-=m^9z_cXrN(K5<p7^F?K
zkfOJInH-Bgx-@&Z+!&qh6rbl2A=U&<&8gtWLbO8bN54pz6?QtBgb@|JD73qM<!P1K
z%6mUCmk>|toF@X@diEJV_C>R=d}`vIxV}so@owEq_mAqwobu(4TuQ7h!HBIU#OZC%
z<4YBqcwQPHWGf%<qte#$o%U3Ljy@Js3nqIb0}C2&)&1^)1%2d6UD)~lo^txGF<#tV
zvO~@PP|3$1>?)kk`@}T0gPL-0JTynn&pkPphAQh<@ypx65G3?y%@ixfj#E4dQ(Vaj
ze(A18@IIkrQDE0~dr!3RDX&u>W0`pfMM(dj#!Ap-J5MDA)r^?US~&4ae?Nay;Q2Kg
zd5>h}4xI_n&0F*4%#Fly8sk{yZNHU;>2LH<!+GzHRZgMGPbP?8hpn7AaGQc+G7j9(
zaQ${2CFVZgd1YKG&K>5kuXfmpaV!X?<EAqhqW8!24L(pNQR(g6&0EP=Zow#ucN;{6
z`<?9y_px)@JX<be8j&MEXU4>q_0oXX$b0qWdU|ANb#BK3Dz(itfb3=i!;8B_*|}#&
z;Ns?0tDC`Q@jqSau&7S$GR8|^1TdqVtJS(x9$qI2ZB`+)!iv8E=IoR+9Oe|TZ&SSg
ziRJ2$d**;UZ*#LBm`ez;k9D54(eKI#W--{_cQK@SrApq}xE6jou#>gogUgbPq?&g`
zD83i5o*yc`G%BfJpa7BOay>f-=SoToH@lQ*b7)SEEk3|5*)cXc(|Kwo|C|+bEV3F9
zJ&EU8y+9eSMW&Yn{deWcgS!Y3-i6&IEYLYDR*3ylBB&H3+F4{5VyY*9q!RV1vJBYT
z^SL2q;3TgF&~Vy{%dcFtilL9oR_oAVC$Y%b*rtV)6kP#cJ7C#+qkAuTZZ;4s70D|I
z9}?*7f0SIumX+OYZl2^vmQIR9(ih}XQ(=b`<vQ@&vf5{Mu?}}=Y);4}F5G-i8M6Yn
zF4H3f^?<eSjMgysJ?bO{0$AN>;g<9Ebza#C&EZbJUmBr5AKV^Zo5F?Yrr9I9jEHSo
z{2Gf>(Xz0i_jThu@Nl=g6H~+f!a77mK)Nj`a!kaqgK(IaU^wwKKl02yTA}-0LiWH<
z`<>sma;MY6x(c$b@vvBrlLKWNF(h;~0MQhoiRZJK(*>!Fqc}oonFl!Zozsm;mX5PY
zkyi@I#0VyW_aWbhER78q5mw&GiBTWVFj4d<?iMFb<kO-@Lt^S`I>*IL&Es4lr?gUv
z_I4+Zf!md_`QKWwR|iD;p4@Z4&0S#}HK*;IXA4H&H`=kcXkC_Il?f3{zM4BeU_CF@
zWS6%%Cbv6iD;;?^u5`Zw9RRRy%G_PTs|14P%s2$Q>_jyyp^=CpXnJ|uBMY8FUFzsj
z@fGgt<NUguLTB6ZzL;*~Q`YdZbE1}Dl!RjY_uw;pwa;3)hs7}mx~VB;A}rUnD^6%6
z(Ph|2{3Z2xrTte_k8Pq(yo&`)dh_P<jPEY};Kc(;Bf38z@u*))>0hg6NP6dYnOB;B
z;@Bcw*jt?}e!qKRUL|Or=#0wdF`zG%cbF{=?taXtIS|*G!rR1!D6g2V?kWxU-|4AO
z@gqbz?p?%Eb?dknc*xH~b`ApPvse+Vu0#iF5Xm=THNU9Qe>VcB%ZUUSzq(H>ikFzC
zt0_krh|u;pk+ZYp&wpyM_4PiJ4B#TLlT<lYT46xflbhlYUR>wPFFG#<(1GlbRfrI+
zY6%@PJ7>w~;Jj$%k&H^zU;=h0qZ=|#^V^F5NO@Q0a|7fIiW8pay3Z>@N)e{P8?m=V
zlhj*UZt^=kf`c+zO6jkfC~3r($5c^Y?sG-N81)ZHul%QxO(A#&on3NVnI}O{Q$|uC
zsBYGXutLPYI$Kone|X6Bz3in;YLYqKfV3E^)&7K{p&DM#H*u%De8W|J{XW_snq3F2
zr);xQvU*EW`bESe#PQ;>5sef&;5&`NPoj1+LfcWLUB)*-_~+W5>Gz3DKfWsaDiUh{
zLDOP5y>&30hi0Fy$CmpWq?GGU_KqnrEcTPI)Zs)!Jd)}&4(i9y-=OD5oE>oE$aT1D
zyGDkC2j=^ZKT)lVBqHLkl=$Oz)B<@7rOEf&mZLNqNHmn6fS)iALV813kDrL(Eisy8
z-jGWZ@-9BJ?<Pc;96^e{5dtNRLC*^d9w-mMo(UNS*!+PG%feQl^C?$6b%6QG%HF}4
zHPVNgk&O#LJ#P^uK~0H&-{v=7`pNcLyS1E%Nr<#>u)#~8{QV}KSRKOy73`C8y7_*0
z;){;vu#Sib0mnMOsaB#0$iagFm?{?$?7#IeRM^MQG$cX0Lk-wN=P!O=VOYNqNt}?k
z#+W5>o44>PNu>An&u&onQ!fQqvVMy-guW#K#Xk<gqEdx1>GW5jk>3sXTjGB=vo%B*
zC~<Ne>Qndrn=L3M@a2qJyRk1=G;hX?m1{g+>$t0j(Qpq*ihQp2N7C1}wFCW(SY2I!
znH}p<#Ekg0Y<qU>`M&t~Zny0Qq5Cx@MHTA%J+!1G2+Vy`2hv7L<sy;1Tkv<}w_|9M
zA@8()k=!N=wH3^>SAHll{DYQ<{p)QBLud4lg+k&fy5xBkF2n?RG4l;tCGC)?t(KA#
z;V1V$Gu$w0ha2ubbxU#N@92F8o$c*aFF%grxvi|3Y)JP+2Odg4tn(m@r$~kT`R3;*
zFqA((D^#3dlCtvwDdPigGQ^$Gby5Di1Z9*9&{#=cC-Yx<(xEFow~9<ZHvecR@>z`J
zml?_D01|h%`}sO_fSg1vkX_(xsOH_2R|50^jHbA+MDyT4INF;z+YN21Zew$;iZbW5
z{t1%yeL5ZI?7Xg=RMG3+CMLOnj4)L~>c9@Q@@1v1GR3j%pua0L_SUE>O10MzvJQ1s
z0cPskzEf-rUavC8GKE!z(RB-R*O`^%ALqf&Nzks4*SixZht~?Bul<z<Lq>n!Abv&%
zr@kTac?8dv9U>BPqPJ(`L|mYt639=f!a%|(=<zv^u%EQ^LEhc4`KNEfehsBsK_RIH
zj>~sTbP@W>Qh8GrYawY66|dj?dIwbDS_<J&P_-z9@Gg>;HVC&pR|~JFE6n@9(*M%2
z$EtZ4vQjz;9KswXT(zt>og1G132Jp*+60yT1GR#uvXFnquq6<xwn^p@MQMHB{SfL#
ze;-0rAY4F7i7@=an)&zr=KjesyBj^P1tV02==ClpY|ozdhQ;6#m!4shiT;IU6h%cJ
zvn=^DNMx-0Jrc<It{I^cfl^1XD}<~-_8Lh@cvp7FZ55p&9@@7BXga0XorE`i1q3Pc
zcg^9k3w1Qer|tN*Jx1!?5?u0P9GgSX@gKSyE2bKJcZQ`UHscvL<0S^ktgJOv_9Ppr
z^be@C7{Y#(@}H8dAOZuL=g)QMQeRzro9?CldN(zjV&Z#R{Mq)6z&t3T8OcKOu`G)k
zce+`@PgJ^4$5ppQ;E=B>57}<5^x<eLp5PWnzbkAqY;hFn->m968C^N4qEcygVKEIc
zETuP)Wsg)PDA17-E+pfpyQX<V&X>)c;6?^1?mXOZ954CRdA$DCZQ8bwfwEvBBd#{B
z@i8U=o8aJ>x(!vO_Yf_}ZJR9r`X-e_^pnaDOt1n8BI+B|5Visd2pgQSpoMB=hpNfe
z&=@fkcCmKm_Nw<V%&i@N`IW8AVa0@&HiId{E=A`*DUl%6uSLXNX_UfqFkj_Tyqa*}
zv(ezKlXN~?h;J?&p6&T+KW0|DtRQwn`<^$srbNlIg#HL(=K<zyqdCvEHFQx0AI!5T
zsG?HAV;N-ej6jLe+GFX5WQZyCF6Ub*Jn`X9YwshmlNalOJalBkV`H|?&Xg-Ji~1z8
z#y0=`Luv2`OGz<%)2F_P{9IGR@=1$0CnsIUrz*M2^_E)3e<W4SIzOKtUoTe};)`ML
zxUZ~C7}W;X`u2F(;~BvpJ326spP7S0^;>g*Wt+ZChT82<&AYq8ujgNPf6`?dKY6uW
zZrkyBO*r?H#GSQaZFIcGy+($hy3PLTf6<aP#hlhl7oDA*q=8xZPfM*;F5(gr*@m~j
zm@eN8niiLoY+(*tSXju*>1K25TpvFTMBaq?W`&*YsCuW8MCF2cY3)XZ#>LZ3!T8^o
zmq=Gs>o8!_`SGKsrp9BfH>2**qN>}e-7L|**s8(*aDINi|DjOBFq?O#pDli9?!C+d
zN?+33Q_!L)8I9un($Z3M@K^Q?4Gj@A>{7dG!+z`9VCdnq#`FCyq1iegw;dF>dU$rP
zvg4CluZ_5st|XxeK*ZFDLeXx2>F5V^Gsc1zzsfc?a<h=PNPBIX-+c)a>QyRwg1wax
zP6*k_SbyYN*f9nOxR|V7{^4cXny6Si%u$bxQOStV(fIcG&j{eNk?~sZM>huH9Ppyz
zse^z!&d;dEqD1a^+7p-EE9!P$kaif-J2P4NVs5Fnq{OoBC^WC4f7xPe22)#7TY~#8
zRG2g2G38Qy&*<MEO-}Cvl_4;?aBHN>`*Mc1K@AWl{Ws?A4aj|(xV#xtlmFFb6<&Ur
z2LGbfV(cRGU#)-Fooe^zp)8BF+c(F&56}LU>Z)bD)mf?C&N7<H3&`$$kXw5=YF=8p
zt$1NOY__gl@{iNY@;E=wv;Sc4r4E21{GTVAwGEh_|9Spzep^xD2+3w3`VH;+Awhh9
z_xZ5dGc8>LVKB#))%#j%vPe6uOw%Zs!J84D%4r08n`tV`ZD9RhkD%jrW~2Y~VPD?8
z>%<n+YO2J5mEXJx*Uf*PA@ZHhJ5d^=2}#w-1xlwV#Ens>R^xc1V;{{zP)3HvtAaoM
z$$(zSQwBi$|F>trIS$x%jFXd-nZwjk27Lc6#0}=o0HH;#86E0FV(H1>nq)uHjCXQ#
z!yC|^ibB2)ZP?dXxC(D-(?54|(&VLkS5(l*gx-S0L9DK!wr`Lkr)Op^1R)<JcxfLo
zO-*%bnwwAgcm3cba%T!rGO9LDJk(Rj!ut&`tZNsE?F~&%`hRelqKWLBDe$KXfuJc0
zCc%Dk11^$)JDbs-RAYWFHgycQj<EM$AAYSe)rWnaK=n9)*}_9YaA^o37$wa)=AC9a
z=0f0}6*&!^U(vpaJ&nv6BmzU&ORu3KAUp*$QSZQ;j2#|lPzwQgFs61}RRB<<5X`$7
z9SYs)@^8o1SL(0vWN+96uoY9WN$|+^{re#(AOyE&V`Y63r;{thh^jA8K>e}f+{R#*
zk6uKV^|r>Y`DInO;E3PAGAc^`Nq~ugcd7*cL1}CHJkl?~&}g2`bWgJXvv`gpY-QNt
z*CVN`#q+|g`_`~o1R)>TBxCR=-@xb9SCp3S*c)9$ule;ck-yzhPm0q?>~Yuvqq?aO
z5Oj7Pwx4WkYfG|lQwPG;y@s8Gh6F0mKuFL_DcY+vhLr+;qgBL%oZWK9rlxQ%kYe~?
zT;Cd(>_#z{Z)UZIQB#%YTJHtKS4oD%)NwJlq2Yo9qVV3`+%8BVi%Z^VYB>eWMXqz6
z+9uvTtg5Q&07MAZF~ZyFXm2a?aaYy%7lCBqiw+P7S^3pm02hRO{v$b2(LSR4yDRUI
zS0pGVhKCd*Ni?BDKCNo`hG%SVhMcCEycuQwOY510|DZw(ynV1xcm0#*x5u%M4m{ye
zd{xy0&s|&^NYED$f9&b`(a@Z3?$Df)FU#86b|Y@Pt%CDoFIwihB78q{b1~+@7h(T1
z9AISFBHY!g#GFlZOPF|Mj4@W357;PL%bMywzYg<VduMT1(v+Y6Yh4}g^j4I-d5~2?
zk3*UxH`Aj#@qa7|3#<)CaA7xm|J#)FY6c7n0wD~L#@CvwV?8S`R~~%10hVY|!5R}e
zD-IS1<a&Li&CTZZt9waZpP<gr5Wx5L#VlIwIwIp;10w2}9-{IF_nL`u%&)tACW;Yv
zI*ImwTsQu^-vj<K(CX9g-}e>&3KA8WSNH0V6hk<-Ha92fy*Xt*MF!GC3=jY0Ra_f5
z1<FQ2Fn=+!Vy&%T0)wb5Ul=5OVQH7S{$gpUXr=;;RX^Bp1JmaP3Eg=irin($JqS<c
zF+VCq9fLGD4I$t(c!VUy7>xKBG6mPzcEq4GTCRaf{0cPlk8Qgz^c}w#*jJdbDX~GA
zZK-Dib{b47tE+=Yu=VnpYajeFs|Di!1a5%$Eg4)M!&9lj*Dkb@9;SrAf4Kd43ID+c
zF&rtbYNLmarkvcSCzplR)1aRL)}F+en3%3>)I}OEUi`Zkv*ZkOH#ORs{9)g9snOC)
zYq3@tx@G)xyl;$TG=8!jYQ@S2xh$(a|HB`4?c*OiSAyMJMnS=V&qxXQE5n?eoSwX@
ztVH_@<!eMuRe}OpI=R79-ZLb$PB3@JYec1XqA9WJX^D~Fn~x+o)zsCKqJ?mcic)6M
zw9=<;!%{h4o;?6I#Dt$7nV^$vLa;8`j={?H`DQvgPa&b`>tHDAB;c*P?$Is%_MhA=
zQ0CZ+!1MCVVFl`4I>_hZVi)<45eU+dpFT5ErY{hjx%h%wBb6#2Z|@8BD~AfK%gI+f
z{AE@_qd-=lVq(|IUodI=W>#NQg4Q=A4E?bH2{v?!JNltYJR*RN3qB~`n68uC75~X#
zq<nAX2I;1w3{ysw_jd_E*;dW?zHJO@!9n!9a>Hwqg_Tt+va<)W?E%Kj2L#~Eb9$wd
z+%r0uriy(Lid=3*e4d0bU$PzKah=c)!57>ij)NNqu<Ty3IWXWqhz$MXalV)0%^E)@
z)rUp~OI`5&CnhFiELe?|mo*{~>!QZ<>WRN<DnlJd5(?2GqKy`UjJb!^yFu2yR#A6(
zfK0pWM0e;=u8^D!ud^61OuR9<YvpxjCZ}RnAHMzgq7uURzEen6M#eQ-X2$~U&FSV`
zy%>5CSYMvmO{Fso<$nU0VISfe@dl6xm#M}a|23_s$TdGV*scd;X9|P_Z2D_o-Vxu|
zqm^!K7`SI9Z4^}hWc$onqV7gg*CT&vI$BF9Fld%$zF;W$F8l?s0&WHN<FoCNk?gV?
z_RphUdKWApBkav`#4_INATsjFvI~|Z&(AO_Q-{Dc$gcX$DiWT^+ICAqr)3JsUUZ9}
zT`$2#mX(&?!K^L4KeXGPXQ{`Uf<e20vo0T|G+DKkCh0aCD88wUH3RRGE8RE3SLpFC
zg8(TWO#SBb35=iRL3^ZM?yaCus1-5Rs7Revh=%qq1brkCqvL7<*#EG0D}i&?zK?6Z
zr1Yx(H<~gDG};(qN)BmH=HnCKgUgS!fzh>lbnE$#CbHZ!)T4resB9Fubb%--`sOoo
ze@r-A0{fU!AQ9Pl2Q0^7iKQIyU$uSGvd@n^2cvVpkwvjLy?<72D!1sD35C#}K2^xt
zNiR+(0+aNIkAuQ?Z?H`1XD8pHCpXbORG6ANnW*=}0&W0hNUGuCOGux#VQ<w|p%DXo
z-|KD?g@feEd7F#@n~L4SNs3#{lD79q|6bbKN#h(O#PQFgMdu6PpS;G$#u$&Vd#(PW
z)$WL=ocnU6jfS@`ER2dD=l^`w5yQc)?+8bLVciXon;DLs*!nqwT~SCv*UEd}Qx&h5
zH5UD|v$MQ#mN$}o>3Y|Qy4sVBD&35mX$Q>88$R$dptuS))r}5aAhmpgU;Sag6g4Ui
z;KapD9iNA}OcAy-0~!#AL9t~WwuEIQ+HYPaR;bFnyalNcZmPS=s52nkXIC+y2EpeP
zAZ0R;IF+!v%r&Z?m6bCb_vKO_TqAM_1krPfx)`^E*=Q0($!JR0FW1-c@HFX4NhCB`
z;885Vuw6ry8Zs%qA)6ez^6mh6T#2c65Mj+A{--TB?KSiW24yF1_S4`KaEz|Wsr^-`
z$G@vRhz0(yZrrs;0eJ5SU~Jt(d^rEui9Tw3x_8Tn;~)rs1U!y}=D-`5sd`)90s8&Z
z^FGKq0XhyCNT1A0q_;wjE@6nh8BO;~Ie2zzg?(4z8pN5%-S1|+na>$6C@6?a$v1yq
z5ky!m73{J6M>4XqR3W;?*2ph1rZ1xo|BXpPP6{`>nv#p1JsHNN2M)@!_)^W%vu!eW
z<w~uLvPj&&MKX7Igv<4%6`ioK-Bj@+VL;Ux9eUVm`<R=XJJ{JR^8w!H`|9c)-`bP8
zAkXMfN1N@GAeVc)gFBXu87eNYOws;s58`WGK&WgAf>xJ;Gt!V95aRWzWW@8AkiTt~
zl<)I2I{XcU3^*8qe(CXJU?Ct}D0G?Xh33I_Hy(T`<DUHKN%%kOla_nvnfc7kt?7x1
zRl2Jmt<#@1Y;3RHO&QrfY$Ab_UXasLtJyIWLI~OLsucm=l{-=$@?)aNQjk#|!Uc7Q
zH52kQk?h*qc5~0n%n%wNp|ouTK-1STn4g*coB0y7r`I9>u3b`b67H4)r`-g7mT=17
zDs$ZpkSdO`*m6S3IMJ1m=t#N30(0Q+?SPpoRb%()U66@YtTNw2BNb*%b-_i4|L>ot
a+jwZI#cH{An~V_zJesOHDkTpPum2a#1dG4`

literal 85448
zcmeEt<yX{S^e&AwNVgy%-JQ~n64E6pLwAQFASoa*q;!{bgGk5F2$IrBcXJQl-@X6A
zeQ{shS&M~>HO~2*efEByXFvPQmp5wiSm<QvaBy%~iV89saB#?8aBzrb&rrZ$j1VS`
z!7r5e%JMScH+Wr3w*-P;Xif@xu5fUaVNXBsu^Y#haBwf+6lGp(d8O|y`uZ8VXFMLy
zUZyu$xMU5ukLKCWpT+aHy-~vWtf7zo%|#w-jINy3mXM>YnWee;{UV``?AvTbGUT^S
zMY7}C$ITVn5v2z|S{_>WDqf)TC(OLl4M9*%yMA~`fm-NK7^DtE6_;Rrxj38YP@Yq?
zCcn|^^ux<jWW4|X`o9^0IHr*+%AkI&$*Cy<<$R46>_7hM+|bt1<RBRt83xh~eLTFl
zFZqTn8oCGps4wEXy)tJ}4K1RY8ap~3w*pXk@jMO|t_g4vjzkYJI<<RA?%Amdy+qrW
zNKW-$2=nstI$j<ucASbZ;KkAA7_xATgJl%+H3|_*gKDC<>}T|GNDu<d%l-S^7diG8
znog~Q&iQol;(ityvg9h!J?AUdvK6WtByklULy-xVK<wb|6%`Z|^g7HG^Tp;!kEBRg
z^Ms?-Q&m-^IwE^vR(>ziu{MzKZ5f^*vY?<KWXt=}F6x@-4Gz*cD-vEDK6rv$u=;&x
zY|tgSIhC8yWvvCbUaAU1so|`>K<}_xzJ|oH=wTfAzbVVd5#a>f8~UWG($d|mkbPtG
zVS#8a9ev0n163?cfgvIP)2B~0<#i1PkVkeBOl+^r%h`ZFmL7RzV<r+2&jS^NEYt_E
zdeHK*f|(5jg5jO%smYu;|Dl{OD1cu^rdOfqU5uG@U|`^Kg1Y!M?@nB^bl_DtbwHX5
z0|#n57Hi$i!=E3PLmwYPnP@c{zd<%g9*|h6Nl30P<*B^a;Y>kbZ}&PoJCiB<gal4g
z4gMZq`B0mGqs?1A)ljhGhAwP-;%ew-2Hfn-!U-VgU}9qW@x>_^+Lc>{MTAGixs+23
zm=9Q-h{$`53dgvbGbidhmS@yKW-C~NDX%frWb(pa%?^$)d{be_qTc_KA>#Qkb=qnj
zjJ|?0A)q506DfBTp^$xh9E^xcmN2j`k<%VXOG}IYQ~&mJu2@Il<3pdTap_xG@Hg|X
zO8Hd6y~+=8rcqF?<MDor9K2Rqjj{NF^}rj-PvPPH7D*}$v2!{ClMIR=>w2HI7VEml
zXF*{~6;$^w*K;GJsFQ_p=v?&h^LQp_Z)+|{zL~xHE$_v=w2`eFH?Y~i-b>;Wkye)b
zY77aJa=yzlv~SJJ+prts&q@;DR~lyK!-5Y5V@|st9v&ntO_ryozA5BubcnFl&z@ag
z1~RlP&dd<`-0T!)iRj;j1$swEN1qza8f7WvkMi`g(zo4gWCcA|%`8!4haEoN9|k`D
z#f!<B5{3OiZ#_M_2cM3Lf-+-ee9H9wUsbZ71XRUV>uY#__BTi(#DsRaiJt&{WOPn+
z*Tw|Y!M96848|nKM96&{%#S>_PXK}a$a>b@k;>o~xAu-&Yg8mDkJT?63c;^PRWt4H
zO-)yn<$dgF;~M|y`|5K;4Li*=55!=;_)g?iEKrqR90`7^*h>ChKWZ;08=Gwo&%>pA
zy05l2Hbt&Rmz4^aww6v#RW651Z7`~U)-7*T#m6o`ZEon@6yD$4@;VQqqk0SO>(z1N
zHSZ<D&g5VT14t!$ShvI#*kwmYeSN(s0lE>oADLGdNlhz=yMX*n;Hvl1RuCkL%k%Q`
z(vfO|zW22CUS9aYOAjJIweQRQ_V2M*A=hT63MM%U3QBw8t)Hf*CTpV7eHY28&i(!U
zpV%!i{4c-gXXY#6F|n}fEDk~<!c}|*>jvv`q2Y$UAu#VOu1%xPLy#ecD=P!C?6ewQ
zCy9{N^^<ZJ`v+Cic6Tw@slqa^R|D53ys7d*v|HR-HdQM(d#2alFYw%0ozYx}LKFYq
zSL^22)en)JI>;RsrV39~kBp4a_of^ojDn;U_5g7bF@09m;(7RB&JFczsk^A@dv+dv
zm}OZmwh8$`(br@OV*dv!k_z7124hGVxYa10x|YnZyXdpGx6fYl?|Atvb5Ekr+3(s2
z6lNoi7j7rXY0u{7=5BhSDs$q^$GQt^uwVaxUyQUGDo@EEpAc)9ra)&K#dQb=5->UE
zZ$-F@#&v%kC;RogCVp72$TB}4AKQhf<15Xwz~^4&Tm@|%9UVqJMx+>ZHeZj=#7)Jj
zUd1U4Q|@D%&^_O&nxP7pp*0a17oet~FoX+%yV#rK*)2(!nYZsv89yLV3ju|DaJOTl
zzBga@FAO@(0eM0MzRtLJ`Qk(XYEHQ(mQ?AU6YE1v(8`dbxHid)wRVS4aj5PN0LEsD
zOay0cW!RRNlar8;l*@nhKkgwGQBqR!Kp+J0XM!|}TDIjK2w&!6BoIubj*ll~JXl9M
zSl7)UJd09RhZ9f5<k3@M)Dpngdx?j~M1-FT$zD0xw-~H@LwD`5HJb4l>*nAt3X9Z(
zR3aUmi#n<^C+;o)5W-PA`j^C{_R`C8fi7Wy8qpWNtnMk(V(Kp1I_0T-_p0$TGgk#i
zk8JQ@rxjHDd@UaPHw_ltALP=wg)>3k=)}w@e>tN*-}};8j88f=a3bpXfi~_cy6)ni
zq{thLDP4#FsX5g%luxkUwPTo9rsq2&BO{^CC&10zs`JUbR9wO9b7qb`dr%iUpUR5n
zO19>o?O8k4@y!&VY@BpXPd)^6Rs7|FOjd>gV`E<W)vT3@X$4>A)*@Cqwqddg!=rQ5
z;Y(T#UJweY)%8CE-yqpGr}oTHl><ru;_G8$V}38d4x}@;jCevX<C#>DjY-v+Od*@c
z=U7-+mQCsm&%aCt`+WChb!>Ot8Z|+<hmPEe!hC<9ww|V?rqY^6UFPu$2qgbnJ6408
zwgUjf&)nL-6m{gh#nDAEEoT$yHMk!5>X7LeG=vZ=$qH2wKK2qt8W!li<Es*I-MW(R
zGCk6Roj!5Mi=*Yv((*b10e=2~4IAo-<>g0z^I=9f?nnRMB(AX043Q45YLm?H{=8hn
zQbUmvwEnu7E$_>(2gP0=fLeh3w^KU?-dQQLjX#R<kZiBh{i?+lPYH+e5%vlXSeaf;
ziQ0vj<?fqconCE4#R0LozF^4}!X}s=WEuHR5UL_B)Z3t*uTh+D;X?~=jj#-88rHXV
zd<cFjx)Tm%KG@po^9l+!3QStuo0;lyL!&@myt$x0I=l|wumGO|BEAJmv{LMPJwYAu
zB2J!4=qoscLI7DW2P}Sc>9>d`*ia2oTu98!ry0$v0zSOke;F(4vZ9-X|3$_D&clj7
zEol58G%~!O>(wmtEY*PErapdbUrR8y`EWDfjmp?#e;JvG38XFkS6}@^pe}3#mhJvu
zw3yGYhovt+6B{?WwJzx}NSv=EI-g&y#YzA~^_L8*yEqJjA=Fn_S7SGlG_F`I1<qC&
z`37N-laW~o#kfXuZJta1B&k8sU28sgLmTI15E%H_M`B(nWFBR{ABS@;TFDEb6Y~|k
zc!~;xBk8{T%=|Yl#ziZe93ApHL`1|x@!r+q;Naju#*E*O9%Wpj7r)JK*N(3Wqqzdp
zzU;`Y?3?>b;KdayHF<=%>}U6~%=%<{;vWgG+<`p>Qb9y%X?tvQT-j9o+B4oa5k+t=
z$1qS}Us8*v9ISx+<X*|lrKX85z-#3`py<0c-CRBM5)H7mS}qNeU`!ZrZc_N&=6kvJ
z^dRaC392*mRx53tFIMy+j)1P`%|CnRF_zWk_X%EzPAK9+_N`+icDYz~r{!u=Q&TrB
zp0C96v^dz=*%=;KtAGaq54pfJYXx$eEw7NF5`5w#@8D?$l&R%lpqGVKqyHohvYK~V
z?oy7!a58_<w3SIdC|*Ak+P5ZVX*>4JnAGzL?qoq27xYCiyilv~ycnH$INhc`^*w<(
znkmH9^|TKK6*UWvIk*8X_dJ3e>0@t7#LLzUL|&@>(<rW*8c!+B;;F2dljh^bqk%2k
zTzsp!AC_IiN_n0j<v{Q*%~#y|oZEN2m(DD>g?0z4X=%BIH|AGo!GlN1SAcD6e23|`
zn1S^aSn@^kIBEez)cI}c3ugP38vaYD-ZX%nQlSK7s4$qg)?VVEe5#x4>rKgug&c7g
z6aHGnfx6i-CpM!2E{Oo4e)%R&DPP>3+i`wssunP9m*r4Ww9nh)+vUfH#~^hpe);>k
z`k4pj)8*@2vE?UNp~%L()aUM<qFm)eAvxzM$N|}bgV;4OF(H6ZoSmIL6oe>=<y2VN
z^(CBuaYG+~SGrvVAOV)(N}vRf0Uk6k@ayBn<#5t85vhqUGtb^wmtD{3lfxO0a_u_B
ztYKa*s^)79_PH!*tt6tYHXk77=}`BOxbhrLtHfp}5I!MzNv>!hdQja(Lax}3pjy4z
z^+sO8G>zfxeVREkE_PVQQ2*>j@3?V-0^JNkU+Qxndauj|^hTOQrSibN>b?uay`{F>
z*qQlgXtE)wqm2jISF{@GPZV0C#t#l**0%hfI0)2U;==SK&ZBkI_1>>Qpf*37A-J-o
z%d~4(oc9SD{*eQPP#Sw?AuTQ4#<eL89kGYvEz<VMA{#?-L8kb@|4v%;pxC-!J6{57
z#5dFP1E2wKtK<(rK3$3)iggOFbb;s{yrlSpx`(hU2D=U08_avcX8`mT<@Yo%OFzWy
z9`{iP_L8`g261h=gTE6*_At|k8NCE*`+fO61Jpt&ae8Lv9UKmVzyV<4*(R7}>e_PF
z+(MjQm86VJOoB_f3tN<Og}WjLe?rDb-!iIjT3XFsnN58XU$Bvpj^pNfzTPwM%*!s&
znIJ(^4S}Ab1E0RveDDZI1KF1c0z8dzlO=AzR^v=E?&s9l80V1t;xYo_fCYEg+jkFV
zqK?!YZBBw;uMcy8+Up4V(zjOLn{uik5F&wG#OVL}MDR$=e0ULv6$!C<>*?v~#4xGs
z23<%c{AQe5)G}y{8lE0qCv!^-eRwpQ2C5Q@9hfCUJ8n_#&*MZoh9HW1H=}=xHS6vh
z78**$*<04{owW?`_!{(P)mqGTEH#hxCY5V~+EDy2If)8%qy6bxjd=<0&`HS1$RZAw
z+I+LNyeAd2oGh|n!lvbIypxkQx>j7tWeesS7B?n(5NawC5?v84lelmNGmQ%EiVZqf
zdjkW5Z6MjjR})7P1}uWmc3*>5NrB<T>`%dUgN^w+l1jfnpy4DXBNN6FBo`ba;mJC?
zY(@Hwct>%i&q?C9@`W*zr2h}`E6}C<zy7+mU^r?^3l^}X>cIak5uD|2VbCBf`py%D
zi5*GPV|bSQA>s8c;Xz=xt9Q7XjLf=)e~O!U2jZ1umN_01EBURybC|JQL~3sP=&E|2
z#-+<Lc~-xs1+9jmF-|SqBc|xKD=Tf!{%$+b!lz2n_x`;p#GMO$ZI!p~nJ@8~Z1MG0
z#PGcYPa6^X9lL7pV@R?Q4LaLVQrthvOJFRZp-TL06WB`++J0)^hHzKlh!K~MgoyAS
z?RPMKI2L7`Nq*u{Tj?iA@_p8LxLH%_@A5GRKkn}tt`qhV{EFipmTaDak*75>2lj(l
zZ#$k->{|G((@3=6#m&PPY*h>H6hGvpkw3O1E{;gIC@b`yAxa<F$0y+OX;5dKNhp+#
z_b^bsZ>~S(m5H78gx>2qeEM{_wnYAro_r-MBcm3D-bxF%FJk!7m)~qywR5;T3mX-y
zdg4Vs4RIfdv8doLO&F!c^2*pMhd-4U>ZNf9R+QMCA|5oJN($LHuKLgK8j@txs#?rL
zo;L<WdCj~*bw|S(sB<lca1^QDk5PP%>+SyzM?L##d#p|fyk_mNR`^<}%$G5=w#2m!
zsPghFzU@>$FHu6s4VXp^WgW0KULRkCo&L%)7Tt41M>KU@SrYJbM(98QR!cPyNO`$i
zqL|dkM4Jcf7%ju)9QjTBQe~`H6Pl73>SBRGkBe=wkBjG`sG4Ev@BxXhJ$WuWE}&>J
z#xm&3(x6Y~<~Ld-em_DyfZ54|LiB4$@7t?FQNL};CI3&-cRr@n9lL=CW9fEHk#E+|
z{cbpnhpo41dn{ZCyadkK=`1C%Sjm^HP2bsv^n5|L9s0z0<^gN>`ucd+T_f6jd)<xR
zwi%h1{_lDLav38%1&U_vHNetl{!0duzviYUaV;(NqW$q72zmQxQ`SWPED8wzQl|<G
zUEcSn@x0_%T|ueadk#JMFR=Kt)2_%#x503d+H{@s-fwM(q~*ozmLF&W&i)i$cWZ{R
zZk*v$xC(iiJobIT(9QEA^bVdS6ZSQUU45zhbFOVNhrTRDPqFsw7kW#WukA8CRlwfk
z@B2N|g99U7SGG%|$NdB!R}j?WY=lac*E3_|w`7<NaEWtm+Hr70X{9zXiBZ?Am(>#D
zuvn_wj)gdBb(b-*WRBL021d&IaDvh>a2V^q+&oO+HvdWDzAz@-yhG-as&Mt|Gq~F5
zbiF(CgngY<J#{W~rMYZ782|E2FE54AG5B)6MTx{O8>f47ui{755Rkr5V@+-cYV+Vn
zs^5LEfXm_4$qVsbP1NNs0mt8gA<`g6PoAQvU$K)J3K2(6PhKQ+qD)d{DI6*76dL{4
zn>%;A0N;N9udS6cW$@qzQQC?xtK;F4@$rCGBjmqWuFcl@qw$}={7y0P>1Z^Ky4zi?
z6^ZX?_{HPda^U;NE)_NYz18n}u&v5R*fFMF-tXvcrYfBI+Y-T}zYVUDEo|<1#sRkX
zjYOU_M(`%M9BYI5=Tq7g+_YCCzYrv{U2i`+-%CFEj-*D`m(z`##Onl}g|pwr0&K-1
zQ+o>=F?NV>lG#gO`&fclvjNGfZRcyJXdpWhrV5sP>~<j*5iQZ$W;4;%jTpF<=*~NT
zg$KKX&#;v#EBwPNGHd!+EaC>fU!k||`)h}Uwqtnk1({=7*K1XK9H3#IQ-3N^2vR1V
zbsemYSa60FO77wb`!4;ODet*_)BuQ+M^fvVJUQn}oB~7ChFcBlPHp01w<*uwtCH34
zmA3q~@mIF)+vm__Uw-Lg)VT>A;R9+0pxH>v=Ez=HcEG88a--b1yXHbLXFagePDW|8
zQ?z#=A5~&qF39z~A3$d1_9oDI`{RD**=lwr;t-7(rK7(=6!P)O7kmD=RT4paIeKD_
zvXQp0uizcl#%~VCr^S5#=Hh~2L8XKpO=Q9Y5q<4FbaI4;ht$fgJ^U@CVDKzT2zI)<
z%7Q7^xaMkWP1&&B-gaPwy=uL=M1a6a!FMBL*giw;WwcBRHDuS*N*1XR{#b32n|o`y
zb^=c;TM@3NR!*bkLY$=imHoiD@r7KDkDmcIMXZ;0N-|ry^*bXv&r34Sj=WOeQaO)s
z@QV5ra{%eOXG(deuxuycZ$(JVE^1-1A5y}O<@9hjA9sNhntYlT>bbSi4bm|}RvzY^
z5=S)++5A-$fz*5c^5^SrS&V<-I-hG=K9aafWQbK#%;G#}lIqc1+28XfcjC)aKj28A
z&Uao<7C!t5ALhE%Bj{;tw;uD2K8o+qY<bMw?Yuqi!r-NRAn{Wkd4B=_b~|4P=JJHc
zQ;02Svr`m{e7<p=(&!%EJBV9qEidmu(vmp3q<lgV8V)#rzO@{s+q!?aRBuX)>)_u@
zOJt+&n|iVW*|6nhcyU$vLoEE0U|QK6LG;$N`V8#N`?--C{gPupk|vQ<J$JnM<Y}J5
zhp(?&oXgrW-V9K0?>2poIneCfywwL8B$Ib#*X+-b-5*=k%G^@gR1m_VUR+o&>Q(!a
zacb{IgNT06_2PHSoZGF+GQxA<WIUVUwD5t$nZQV7&oUOu&LVNb+=5jKxxK5arY@}6
zYAb2$*W!zlxUxpTv8K|2gGKKc%{xZpvR-pwy29&|59#u?`1sLMSO@xfe9gK)AoaNS
zcB(DRLTZoYljy1Luy}PvE`GTy@v+()TNC*3$utuJb{r_}tAL~#3(aq3Q>Mfu2|7u1
z#|?XEIVAqEQ78}Uw_guQa2*XloMA&AGYZ4r9gmP-+>%4XRjR^*T!U~r`w86e;DvoE
zyMDu7Hy`<IOx!p-jyTcH{Os<ymw2$AZBK722<u8EZ+tAtZbhQecyV%S;K?mTe;DfK
z+`#;NB}z|Q9M#R@oR9`&r2Gk#_&V_Z_V@K!WRto&s_~cV%3lbh@Y}nKvHLry9>Izq
z7r#_@pgs`yT_b1t8)+b$J{82-yk}#`#S&7nX9ClP+(-6*n|(HAnAa2w&-zG4?W0dR
z1NT-xBTDbc&gOLCAUIx#@B{pA{c|;dG8}xcw;2J|_GUSdx{*67NwWR<IxOpPb#B=B
z)<??McFyUK)nZU$abA`Dk;nOP_X);}@Zce$>9;15jMsf9dy%N#b}$Ul<3i%!w+q45
zt+Eom;z*+5ls;d59j{KW<bVcD2$DNea{e=Apgy>S0YG?Km-O$#44IPj=Q&lo73jU_
z)leI!ANi8uVB2iqA}mG5LP{(I*x;>N@-SkqR*H$pag*AjnFch0j_tshtcL?=9OX<v
zGGc4g?J{Tm+&Zmn0Vga~egOdqep4WcP}`Y!A~KjY<6ReF;Z)5|lprx{k=b07lKw93
zlupPitfs!3wdBrJwX!B0gqEGXrnHzP!s{=_AX_ayy1P}<TRujn|2@c&5h7+QVfp=+
zJ&)skvRY~XocUo+DaV0<B!J)Rnd#dTJ7<9v;j&E4eTYE5>=&0&D0z>?C(cbjsm&I*
zGnrVQ@BMUd8((?}cvSx6dPKl=p{y`ok`#Q?$arIJ$=2%hqUZFJ^d7lrf0hZ!-$!G?
z{-rGx@7*RuifoB)X%dIOnX`||0l9>DaR_;Mtr~vyXUN_THY}kXG_K-gZj_@?O;uO>
zbrMwK&~J63SCMUdqZMtY`<~F2Evb43)$6DH3<?9CdmJ96*xRUkM@}p_7HjSC%|z;d
zMXg>Z#l+W3kD@(qY#UQgTv2c`VfO-i$2{zDU*0tmYWCgvU#v1s4l-JTP>Pu=Nn_V-
zytev9%c}Iv^<vMqLNq^fgk`NPjXF1<{o_9hjYyME8)0r20iR26_3t8#KqS{g>=$Nw
z+p`0Ej?}n&7Uxf1=wxb`@b(xfT&@|3a45a{DkRUd=|@%G(Y0Iz-ha~h8^=1b1&fe|
zh(N)a*wm*i1k0WeX>pZo@VQj*VNG$v60A{%LEr41Du^e-jHFL+wA77xociloGb`1Q
zy3_Y=tg$sYP4Nn2Bi^6e(pSbRxAy{w_eCN~13v?pR$<#0k#ak`V~aVZ?)<TL0M3iu
z$WY$$m)Ky}=VDQcm9ivhtAK#7qko9631b0cg#4NEWl#ABM}az;Nq%0(*KI?_b06f2
zf?gl@W7+()o=jrxIaJ}Z-irJ1pBfxufkb>K^nIA@!{<+-J*tF;ZLPtCBZ)|h!wsX)
zQBK9Bd;{fXFX$iSm_YJyN5mY|g<L!khjyS!!CBHIV_`sq{H>-}c@iU(l#N2>-1Fx~
zaFGryyY0;+%mFGwaSd*isxR>8M)D__i(`=PqPD|#2c->btCF0Yt|-iDq(>W?4n`w#
zDH%1&&?`Gzy#E-kJXg3}vbSeF75e`3xzohwrBXGBsha<X15M?s;=tURTe*4%w${Va
zr`U*5{@EIvyNBz&<KdKO@pbTL;xKuqp5x;(^%`bZTp*g>)>#)B-Xw5K_7y}%=C?pC
zp)!VKEpLCkjM=ObWbl)nO)2GvLZqSJ9gpxMK}iEeN9e(*BWXWyw)%!#ZVMD*6vkH5
zo8I!XmW?!hfAMVdlc@fqy4`{56=~Mf`eqpoeB*O%lnFO{DJ(TDrL^$u`dUM~O>d<f
zRx?6lv|pL(@^GZq_*HweP%c95qrfoB!qEMU74ZQb4$&G`+{^S)%h-VGy}yC|!SK=P
zv;BJ{UBWaA4W=@aKGlYAX2Vtr9OCsaD#ly-;)}3PPc;8Q|2XyAEY)GoWldJ!({}s?
zL5^eEPCfYGcHtqt(qL+gfdu!l!c5kcp2I*tR)<eWZl9{6n){nb{DA4Ob>l_ubU-g1
zI7xO;m0Syo1);T^#%lhu$Cw}Oi=H_<Kv)}ej#zf~ywd{lzC?BWWIiewtVCgkFOYxv
z?Q^7KHI@XDQTMLU+nJHr4Su}Jt~{!|n#)giJM}Ry4FAtv0F0ae364veLzbeBI(5Z0
z+wa+gotl3nHm8G4yR~ve0@?)bm5Xc6yJzUOgQ4mz1<stcBQP&eO}#y*#h!4=aLh`E
zNh3vPLf`QP#NPcJOe#qi+eCCbtGHx)5$F6)7uk5veNKM2&G)a>j7+1;2QjR~CeMkz
z=sohAc71+uGX0Hz76dY4GS%Z<0zX+|;37FinHigt>SWAx4(e&kd_?vb6nbsQxL9J=
z_|;yOF=J8ZmOK&sH^twewSz2YEE@8O=+~C>68{>4N^ol~nC|)89i%-ul56=+qxCJ#
z)`-@xeY7_Uw%60!1;z)v*@-zyEC*_(Q!}z;2Ok(S{>)qxCO@SJEdViLAMu}KW4R>8
zss)6f)+8b3O#4G*g1#OHKg~7eK{lRjF2t!?iOjmGpR&Dp>iKM!@qTVhS~#rK^CuDB
zBNVe(znkQoFsAJt8{5*Yao^3T>d(^@L^j?Y6i+cSiC`KfmqPC13f<sg)?0qZGx4KK
z19jAMd)J%Mpn+)O@(I==dS=S8Da8ypMMGE1EeyB>ck1vfjA!~w=H4<Z6?mkT^H+*q
zA~cfC`pIpX(9&wSNd-2e4QVLgFo^hD9oJb2rmuB2otl4(8fF(xkhyP(^@vj7di51w
z6;f63vW2fj{I4}<LT{}Nnhtw8%s$}2v<WItPW8R5a@VFW0>ptL$NZLps`L>)RQv_X
zj;!+*-#3@@A9AC1#WOc(q$s*#0;w(hKlQ;oSg55zQVVezEn0uPPuttv6`Dp`L|~%H
z$ouhiNXYelQ_DkA^dFrY!q|SVS5eEO6$km96hXRrUu}wKkjObU%#xLfrmJ6M{+ax3
ztY))a=ypDQ%Ek$#2GjGIu{mE#hI13$cb1n7CCXmc6DXsZ_}XTk1OUslYf9xkbR9NR
zm+~KEL5aAeSKQn1%`7MvSk;cP^p&z73l$ynu@M!FkXIxK3Kqkv@++qR<*Uh=5qOoK
zM(lO#xs$btECJlLD;9Sf$4Lp>uy%7d*|xR=(5cZ0)E-!#__s)~Mi4-ig&7j^dD|j(
z?V;ves2;hQ!~Id+d)(Q87}W+FdNc5}rZZ08*Apap@_dJ~W(@DjN#$x<o0u;Rt*~K*
zOIy~Ww2ZlM=&dtw-N;K&KIS8}ZvcG_>l@iUyAqVjyuZdQk>5orgOf)et6Pi?QKCXH
zhAvJUYW^Hjw+GEU-C~$z%m+(lzQnjyywOt<=G&C4<EL}dp1lwV@<$H(_oTj_J26;K
z;0T6JyXL$s<ehn-r)*=ni&C^GyW===*fW+a5R<OuRnV4s`I<pP)%z=pT5*20t=B3J
zs=0)kHO#*DaO_SAL_T=r&!$V~9ZMC$1V&>;y7q{7IbTy`e82Ov=1@R@f^&o+Sd|5(
zm&}2=;OI$ZbuOX0z7P-Bjj|HOWvQBW+Fw5lBK8VCtzy@osUC3XGtfW6#*DU3_PRIc
z2c{?U-y|X#vD=nf8h6v|TQ14i!0ruwliQ!VO-;S6{YVm*htI=P!%kyWW@f6*>Wk|X
zojj|6hSK?S-&=&$Wm!z_^V~-&0Pg1mCD?rehl`Y=X`%$_p4w)vwevwHq@U{w^}xHu
zZts~5lIiVyM5x^OvDZz?HBEHd<Givr_cn=oLb=ayAegvaamzlTrYq(tl16|xR|2Su
zP>WtUH`zIh9mfGEk&8@aR?xzE3@oGD2*|vkr1_60;lH=FP|W%fsvzcBKV*VVU~u6#
zmS8AINtcV1%c>^FW=HrhQNbO^OVL?&FL=%?S@$#y3S1XjxvTPuX?g6Oybj5p-Qn+h
z{<_0Zc@iZKnwNfdyIDbGLAw)h$*dKcw`I=ngZNy{Wu&?bmsy@2+@t<iX2ER!ucbBv
zRtOY03Va^!e&_AC_|kpZeXhS7Ivc`lx&7T|Q~B+2Lnj19;A;~jFB@4Vw`Ul-D&YEa
zd%mW?&SZSDJF2vX=_}GFuv;J4Y~RTn_6*h!+EoaOB%XOoq~ZH;On@d-1|=sK+Tv?X
ztjJ{X!%~uwDX1tnpv;u;B6gz5Bi0rPe64!$b5C<{ho=;+xm)o@N!Vu=kaj=XQB&to
z=wA1S>i%(KCVbYnMn6M8*8z1!{Y6tjXgNQZao5`LNttxbABJ<e9sQ9+`2K^gQ#Nwf
zMLu;<P)RFHPnfNNnj<T_)VCf`T6q7rTKCd!^Yb>{Nwgi`*sXfG;>wg}o>FCL>_Roz
zj_!xOzG*eZh|hu62f!cX+>&mlE-PGeXonPGI*<R<mkJ)HWEs-HT+VB2Sy=7|p|+5+
zYh+W|?o95gmAd(9)%{anNqZsVO`%%puTm;w-<;>e$-gIbd}__XdwWL!2*=KNn$N{A
z*4cXS@$eqS@K>hq#$9NgKD*yh4d{L8(t0Q2%W=K-L6YEmHElW%rtzJY4&M6D`uT;!
zzMYWt%Bod<?G@0FGY~?;QN-ar_$0^p41d2<mi;o%t-@<=y5IULe~ySGsYf*M2;bCQ
ziWOYJfsD++#quwpwX(NBHp*-_`I4?lv{s!k%j}9r=gb`k%c$u!#_m{-3es1N8C2g+
zV`C`#%Z8t0*gA#zp3J-dT7dm<FAY5fC#*t5*(UJ*H|EaAHSbgNUxOb5<oPURK4Ndx
zZL+#S0Fkx@?m*sv^Jp^i)j>19zc;NMIS@8~M`)iJ(bDvMdUauZI57qB@RWxtZf(`N
z>!5Y-)31I4J|<jX28}|>ySTcsdMp1{hvM9leFN)7#m4Ltn_Y$NZ9;2G+{HIP-3;Qg
zSZ~BU|NGMIEZsA2HWIu?PhR~SB8MNUw2!koVyTt9-gfcJH5;`oz0V2dDWt}-pbpzn
z=v*)#2)ri6jC2sbAyK~HAY;=AFX;K1F2=Z((>>oXHhnAiNc*Iw66%2nRoQjTo7FUX
z-I{*w9KCQnbl1zh$%omn?9RCW+q8H6PsuSrAwFqbqL}GeJN!tHtzH{@t=r3&#Zir{
zXQ9Nhe7~pUr<D}Zp%TbTUxmn@!Ff%aosnxaZcZh;%txhb)0N)~W{8pBJ>iZ_?_RSA
z3yDiRf)>KBQmJ&V(!s6o1%imc@0xrg)T-dgCp|j*q2uMIwJr#)qMHXtU!4T<rgZbx
z!%e-u{%-B}`D)NLs?iA=@*612Us^sT5-->;)|M5ukM?ed!M56m5>p5N(f;RGq8WdP
zuSnuSaML*<za_4ixQV?0X}ULwnf3@&m<v|cg`ON8l`OhGqrCb-)CAhNgo!y{`V?xo
zb6~Fna-EGUdgmiV1^O4ggCK#m1*zMZvA9^=<5&q~<DvPz?nd<1&m5C!j9b3iXvKk3
z{ZB!qooKo*H#LEWe*Ak!ru4C5`K_WH-MUlPN0Qf`Uek5cQ%K_FvJSE`>%a7*<u467
z1JJ_ZKz13n=f#k*75PYQ@_pN2ml6p(%KUd9CBLq468O_=U%oUrAI{P&xg@@m3;V0o
zir~(49gAGMNevoSK+FYYGdBUCQ8&sz?>^m|dYqOe+1l2jNOgTlL>6)kh+5@yV4FQk
z3pJQNRR<F{gInz6(WO}P;c|<ceF0hJMmJ|ROEaVPtXJj}7!_DGn_^^p44+>;A}=A*
zm;T5iuSCyAY3+GQp%BZ8*4Qn<PmH_dTa(501!zbvxAPt@E7TQ)TK*)ihS!lL1SK-=
zXx6Y%z4e*j9eFid8UN`E*<9csW{X`SIu0J#+Ov)f<Bo@Xtp<n%B_hupr=aJ(a*$ZV
zBUOC}?2Z;=ysfI%*e8up1!^(1X*`ZHsbO;Z*5!XP_T~Hp@h@zDcojrRd+)D_`dZ~H
zBlfS%y&Yf@!?)YpZCwrE>So@N`<V<{vLEVj;+zpnDvRFq^ByiTJ<lI%jui}BfotU3
zyP5mug0viQfZi<KFS2hAi3&GUpM%69nKRojoSPC`?g)PZJS`Yb8?_+$1dsDf-OP%u
zc3lo2p^vg(PU0wg1JWy&W^ah&!ovy5AP$$Dceq2$aD7i+J`nvjGiQRu>{w&-x=D+e
z@2|fC!9l?eIPK!V#gtT%uIQnq#}2q1sX5)qH!d2Yo$j9RDE3K!ei+CFv{7~E?%_JJ
zKtf2r+or>dnZ9J0=*xvR;{ePx_XlKpT3Y17Tx+6=+n1&^{{xBA${F)q(G8k~I-9l4
zoH_-wg1AhW*K9{9Bcv8L9mS6h&O9hHqvhG6>1-2e?@%t6i)F#=RR&#B=hBWfYrr9s
zyPUScGo1hf(R!r9%0XK1V96M`%x-zoAPDGlzh@&>O@g3s^skd6iKqW+Ctp$gUMD~k
zPUmLx^oVw4F=!}hswN1zdw3!2p?zT{ZTYH_nr)4Pf;U}2f}eYOazafWmUbTvxX>a3
z(!uwU&jg7XzIFF`l4_-B?`w@BOs5Ow$kvAOxm)ZkspoicQdPyCG^1lUa5&#t_gr@V
z>e~)!L!b&6Z6^z)Z-=f_r3*nkEj9pGXRIPr66vN<fMHEKv_&_Pi~7C!Wywow8bFlz
z%mhm)tnjZen#wYWWg(>m0_H1wLepXOkj@9h3^D47Jtojl+L*)MYh2t)ib-1187-7Y
z6k%=3xKeh1;BkSxxS;+$Q5Zn-x8;uTX|fe0hBzT+_TI9q)xTDy%sbk0*q-FUm#C9V
zq_Mtb9Oz@f^?4PU9dNFcz`@_D?+r)db9Lh8>;!%tk<Ug`%d(vOVaCp>9dHYt^PjW-
zTJ@D=dz%0B01lsL9F&0+N57HaW)bUZ&+ZVP|0jDw6KH*BeE<AA=J$5myg0gqVJO@5
zR20Gf8iiB)_ed;&Hlp*Oi&IwjaFun<*MG0dk20E~=Wa8E)ot>%=n*~5fk^}y!?fH?
zc6$(d%dp6n>3n#0Jws(Zg~*~!Z3gNsFOk`WgKNT=XX|ycpM+R$i(c=OGGqiL9Q2Ws
z8NZ#VV0e28Z}JJ?8kAYsvGmt!q$FDBaBBbROEJqIoK<c<$kugQTkN`iT*W^QtE($#
z`hZZdptT2n^61!Qf32lL>_R#Hb1mmt9AKRSb8l`$W1({dfOdQbLS?nJ6}2tzz`EAk
z=ce`$UhCLvmS&&Ilm8k+rY<rk3AADOB33k~i*y@@V|9k?>tpU2z`h<Bg=?7iDXI;y
zGah#EWN=^$aV{P5R<G+K;^Byk8~?Rzj3f$q|89@3urItJ`>OKc+HTN;A+M5emqlwO
zqpUzySy#C2Nf3LEd*9Oj2QAQbFkHjgWLDs~t9A&8dLuc#SZoShE8uW7EguTyr3Y?+
zb}672RNq=rE@Q;M0P+;HH$)yyHreys1RqbFf@ELv6kyKW7ZFJicB~h6wjA(LabmsD
zC!*Wl-SX!aardF0eBW&^sKj-UytDm<>c4U){p3b-IJ372I`t;8V@q_KGIZCSzs>0w
z{*ytFKuP&aeG^1{Kufa$5Tx$epwDphUBHjdk?C2Ks<zNaj(ek4I#{vKamx1s`r|}%
zr97pc_Vx`pK?y`4Lvy*~6@`<CFtcWJAfO)BwgK}x?PI?{8q*-ou6zB@PE~e%;zcrB
zac;BQl~yT&dAqC*jPSoLGG_aSDOatFudoJvhcs5P$!W_ZPk*M{CQE|#>p6|g8#G>2
zJb$E(FJ=auFFD{8tg}yA5bD&qdUwr-6iRHghLB1ozW#Kpi8f*I;eN5xPJyHLhi(1M
zftn?tF=gWENlupv%AY6n&CLS0Pl`I~GhfI>07W+;TuksO@zfiG3Lhn!RM4BKULRqW
zKq<VApRz_%GXT9c#@FW}8@=^EKOwbAD1)@jAHztj@`8gF6og_<O(Di_q!mG@gVq#%
zQ?%9ZX5BgZU{ZpLEu?!&D(qALpMX#QUa`~w=h*L%$s-V|LnuB7|CiBxB?>B(>s5XD
zcm6<b86lpD3DEo+Yw%goXvuR`#uTMgh>|XUu8T!je)6dOzyI`1UcdX<FoMsIG?vs-
z7y0OZ0^<LMA!hIFEi4MNV`G;7-A4l4i!lI^)fG=)G~}v@NNVmMkNJuKW`R64R#&%L
zqu;$dvX1+w60#6DLg05<KBWo^BD2|-^s6esJGKAnwYUGz$kO;WV~1thNL~b&LWEJn
zX&eys$)d!WLRW;NH~nTJE~EDXC_DYf8~~u^%>|xJNxlPGYMXsSx_eA8;z&ZCQl|`+
z@gXO+wEC<~M;Y$K_0moZN&n9U1S*Os?_ggxFG5OxIzM%FssW)O%Qf6mcO8*NL(Y`u
zOSgWxof^tnVwPo+TRKRq#m&y|?+$<)Y2PdM9e!<;N-|02G>0VClziKYRFM5LloR){
zm4?raT-P6!p5w%DW%{hEc+eeli=$}3=-8DEsa^J#k_&jVK(mlhE*6^3r7jwZ6{ae1
zRu;NwSO7Li-_CyNU4BhqB&Ksk1jKRcROp|d6f5vms&LbBaR2np1?B3x-q(N%$fpsg
zv3xf%_h$zp$!)oQSkftJ)FgMLW=a1#45<1qA)$eL^UtsXKK(l=J9<KkxR0~#FGIMp
zP(H$)k|{x{ScGo4X!9alOSfcPeNUP@w|0Kl&vz676bs>#LHyHM7IHQ(OI$mRi(b@d
z5cQwmc<>S8r@)6Z5Y|fQRjQ0|gGjF>XUJ~&MtO|#VO%7m>)ynCk_`ycry!0=`7R>^
z62d_hG=EnIgIDC@LYWzk9w!)CAgBuA8r7*|_!zDLzdhfM++9lJujya}`KH9CW-?_p
zE9+vQ)l0hY$S$!KS4`uGymX@!y_8s+dh+7mAKPaZX|V>QG};&Lgx;V<lB=$^<~kY$
z7E;qRlF=e>GX9#NlQHDmjr6R{6^fC+^Ha2;6T-fuo%4Tc(h6Z^KTBsYGjgm=EtS<C
zErtwscA;Ak74Dsl@=gPtiiZ~NoNDf0*BG{P?@~hee*bVBU(#`}U3+4<Zx@v8*q(6k
zK{LG?t;}GlYP3ddV%G4D7|b-a-4z`$WA=G^rv*ao@;g+&IF;M{q~>QB@<iM5v^oY<
zIqnwOlP`$a8X54J17CW{%VC7WeJ#RveYi`ft+XV}o|1T)BmCEIqRTkJusU6Wz&(N;
z9(QUjH8sVtjh_G~5TQeG=4$54T`g|oOtkUxpna7Jz70Z>EMx7T1OClRaZ3%|B|}+3
z!8_HqpeKCfp@J@)XsiIE!3OHn->=Lk+g)aY`;v1ZVKy_OPND!fc27Wycl-ym^(3d4
zV18<)y>(GVOj<J-4+j$0%z`$tDI&)B9F+iXAo(cM6LAY3$tcXdygH63l>0*nBKDB=
z`a*hxU(|&I)?^Y|TyklMt{!gRc5GtQXes+@&O#hr5|PR-qyC~E2x4val)WTr=kWZq
zNyt=!dat^<Ww<tYauLixdFw;^C)La?3);RgJ^@Ps7#JgI%OL(`C<U5hO54I9X`VsK
z?i}o?73@j-(MTxiCIUB^y*O7?H2wE`k}Y4iGdnOR0&>#C?c5OM!Ucf1u8?v$sm0w$
zImgKUrA_Bj_y6wgEHql`TkyKuEK<2x&jvqKL|;*SQ=vmlpVr8j^zUwkR_rSSpkpX)
zCGaYo-o{CyFmR{q+$fyV&=Fs#6bj0Yt;iH<ykN&N0I*YRrfl-ThbE?W(n?E%%;i2x
zfuWj^hviEw>w-?t*HbtkM^1Ubx1kh2{CgLMxashn>U#xke}vUyX9l=#Bh7jgs#zMT
z>i_YAQn)F>IWZZ*@e`45!WscuvtesvQc`nz8bXqe^UCKyZ4=`s4Rw*fgf<*BjQrZL
zeBR=(U~g3gpOT)}m2eG~!F-|YENC|8a?c$ZCp`rSIMYQqLUU(sG<!erFf)-inRR?T
z$`rUEja3o9aiv9OTp^hmjdt!GW_HmR$oi;wkD4K7Bp&*7Q=+=L+4_^efye1^lC(>9
zf5<De=JeUrn(b7+47ZE+nc45aph!^tqlOwvtS08`@h#%{`C<m>`?{fQO&Ar>w5EcF
zxrQK%iMPQz=n27}!A#3oH%)}Cj-oNG;=p&iwS1y)8`KrUU|%q99`Q!eEbFU*gyx7B
z))e#quGie`MW!pkxPT#g^bfP5&?P)O@YG3prae8CQs3ea+%F}sx`bH`_j^5kyuSH=
zHz3UQc?*#%`7&^?gfiN!uZf|cQxp8R*M<aPM|g%xkpvrSQyHj4j^3!9O0*J?UfKKJ
zrjA7`E2F0Loje73$K85#>}Rp&Jg_0qP{Rs`%O;~pNjaF0l)6~Zn#)YybPwuHH+H+C
zen7dE22H|HYI*7(!1F!!U=$X0uj}Co8XKjL!m0_PJXOH?(T*D~PR##2)}?Oa78l-6
z;_mK<)ciEEvyaAeI%9Najtrp~O(z^#JdbmWWRFY8WkF@aMwtg+Xfe?M6N8k+e{ceE
zMYl9y#Ij@V1{PvuB=TZOB6{+{XL={hDQUQA04y6pShotAo0M`R!LhHTE?Je$WiA?y
z8_Jfkf{P3m5jMrqW1<r!*#wXSE9I;J!Sy_FT}+n#9nt!U<}R4lxLl+r<}Ezt)ZE%G
zBLE~IEgfk?TQQm&0kq~+`y=)0)jJ}Kjk4VZBkKIq3)z4k@bv~aFwjTZTa=`i)Z|r3
z(>ZW`qrr(;W?M}AoQ!=SqpN+&_YPArA`87$!wn(E4A@aK4b!-!&~|;a%~Q9FGnaiM
zdU+8r)6V;zr$LQ02xm1d2QHcTV=Ex(lPf{_xSNZR(kbnl^Y?7}z%39t8<<E{8Nw^j
zcku{BI4mkv#D5>!6>2Ic+Y{MYs2^<z%G)jmdxGfKh9tAuzj*7fAa>~vgp*mtj{OA_
zE8xDhhH77JpX0GJtYJc)x}yk!XHO<l@v8xLcT@dpOX^ELP@V6`=GrKRfhYw~D)X@-
z7G5zsm59yk?RzhahAzRZq2ayfLS`Tx-hzW;H`MJu*<_Zps+rex-hb(4FR={!4YE0=
z#6K(&;xOdE4t@99TbDRULlE5SX*zxXl1-YmGAH+v?8*OTGTmR?Fg-v<fGdyA9}fTU
zv6y1+gj5?q-29>bF3ArQi*EbWQF=!3?GPp(6x|7}(H;zl>tR%HRk7pv^y$0uJ7D=C
zGhG$3=_Vm)eM8bsf8!|5B<fE1Itf+;TKPT3?QQ6Wi41rXtBp81XeJ_%1f_Xg*GVW)
zK|_y=y?(Y9jpC!-_Z2@M+>#>$#$1J=zPhyRtCpdz6TD_02}NM|jK>gyzPvQrzmCM$
z)#Ee@n%EdKx|Yw$W>@l^Nmvx29HD#5-GQFgB_-w{+05(d_7-HT=UF3jQ-5`0m=TyC
zMh`3T-ys7#@rLXh0p)#NoMJxjy3=uvus*r#3|w_<#MqMK<T$?ANgPOT@AbST92xl3
z9QxsK*%;@b@IXwb(FJKA1$M^P%gtO007-RjOEV!{o)!YhBSqiqMYpYGG%Q+6IKkC{
z*ga0apwUchAkE+Bf-MQhAeQQv=n0iFd*)B@k=&ZIwF69R|F>-f&(HG{_1$QRlrls)
zI}(X<W;inDu1x<Swc-H7AK2D;xV48)T*1Em3ysk_pY_s<1bbi8a@4&rmP_+g7^;Ac
z{Wp`1`<nw+Q3K`b!fsPavyBaNwdqm44~faNZ0`jtY0jpW!(+Bt3|fF;0EoUHw$l0)
zT}e0Vhe0;|6xhTxF&J}#h97s~RzP<Y9-tEtN1Lp0>@M#?BP;8=e>7YH$8b(B+)xgf
zg9)4YXfThTP5)<p<iA%~mW2eVD3}u8b3NNCgMr^YwGOVH?iIsrtima$)mEhvBwJ3h
z$j^vWO__xq<ok#Dp5+1{EskC+<!lvbY4UO4voyO`{8s(sjYR*|#<^_gfZu}rm&1*D
zN1&7vjDeuoP~Hts!oHMbUVE(Z+*)<kw*L6ovGp#I&LG}iaY>8cbU3DqE_g2u4T)2Z
zAv+h>F2OAxdv20v=WMCt!{wP<z~YWtbJ#EbuU|joz7T|;55@g~YfU3&@q#79zk%M-
zt6`?ZcN0gk-f7)Pqd4zy%loWoccys4pv2&E;dH4c#EVfmsjcOkvtoR2N{<d~ucK=I
zpOw1XF=1i`U1w9_%-d?uWwGRlkwAmN6uM%%ibfA^MHikn@5D)RNV=xUC)xz0B_DmU
zNya@rm>Wf2sooDiGp4nPeydU`b18Sr(1IF<Nx|wLj+#j%?Y)031L4QvdE@hFh!EG?
z;ilk*ZHxZ?4lVg4Do+NrWv*%6Sx+uAy1iu8<EoTdRhT$3Xy&ESydwJr9h)rPp6*kB
z<*r30>jLfk?8?B?#u0{BOy@!#snc3n8}}iPyQ`Edmo~v^JRKz_YvHlP_KKK@;}Iu`
z{k-LcBAIaHyH>=%`D3m>ALj8HDECMw!ud<HOCF^-(YTg=C9)JGaWg2A@vE!cE5C0f
z@!35;RV!yq`0c3hi6t4$khd@x>h3FCV)?=tmO~imD9^V)l$X@|P35`QQ1SU~nF^_R
z7ye}X0Ciwbg;soCmuF91f}-w>=Vf9I!yBX3J3r>Y%2dAK0Y2Z*SpImqt+hnn8>6Pb
zY@Lt0Ew`cgj7_E`p(^}nhEDSqYAF+yx%%PCdaZw>wZg~#&s_kNO%tQ0M{C<MF0f5T
zxJt1A+RAjk>gAa$Z1nx*twj@?SK5a0d2gAS0)qPqf_Ctk1<S`jPxA^}#CIB~6*D$?
ziZ7iGv|V}TM=8dKPPHUaN|SXcI<jxn_S&kYaJT<@{h?O*d5Wi!n5%W`I)w|``5d*d
zkDR~Ck*yuN)66j0W`?2sb02wrnI%b@YoTNlU#SnD66m7IB9o1<4Y9?<IG4OMC}RpI
zZMe-0Lj^Jx90%iYA2Vf#U>rs=@w_sr5&|(He}V?!G$AZrBggnSCv+d2kXE$&)Yq{X
zXYejERoXLoA3m}q!Ptx}$e6&gDk9FiUhL_URSjE;D;7U`ZuNfLMdwGW#A{s;nTX;4
zjA(BG5g4aQCrgZRB<UmdE$l$2TbQbORGzTGLnPFm#rr7)x90NY^q_=JEkisra#N+?
z{oyurP2oyNIjN)kn{)9QSY|klt2n-(DWSMxfydGiF^>9&&D^arX);}L6yI`c@E(>V
zrDT8xVc}M(GQ~GuH)B2sttP~GYb{zOc(|N*S>JiZT2TY4+j<8JriWA9*3&9CxqVCa
zj)y_pWoM}1>`?HH>N-DB<rNFD33-dkk&>jpdyFzHb?{po#^?2CtIDj#)x*7C=ys|$
z_#gS4*d;CbS4S9CU2IXJZ50u=GW6B8D=NM5jFo#f16e-2iRUFrVhtn@2|Q@Iou9*p
zijUWoYw6?nSvH+nYNl{~fVGpncz9$rJ|=V}F;74<E}p%L2tjte)XRv!!ei!t>^BRI
z&y%jVnQKCN$UZzES1+kaj_nQE9mL$q)KKpzC8f3=kLaPtRE&=q{cBlC=YroRUq4A+
zDpWp>Cqzcd%#B7o`oUD~fj+XbEi7W>vdYHWsQ9nOhm@7Xn*oMkSM`c5kn(4a>8;p5
zI^GZbh*Tm;r7Nar_3gowYW%$9S_VD~I{ilb@Ate_9&-))Eea8{!%*Cg{&>hJGe{J-
zkczvzW84FzUijg%(sjNXBQ4dJ%FhuhGsNO%vp9<%|3XfmE%dciiq(f?e@KC@Bwi4%
zltJr;vnC}iJzzQ(+*}JIIU8A)57RMyadh|D*E%{HQOgJg2r3l=$F@4NGbC;^Ty+$)
zRn{_7g71Aq4j-hXnatz!x+nb32_}Zc&SrMbr-epE>N4pBSL5XhCdo>hj?PeApklY%
z9|$5Jd;Y?*^adMw{lHP)a+zxoCb#)9Pukw9n&4m2Va=I%ef>t)riD4RRRM2|D0X^~
z8JJoMf!LvUrm2_w>$n;^CP*+yY2ft@DpZ{4KWhI68L(_eOh*!%gq_iis$|(%r0MDO
z(7P6Lw!eq9r-luy>;Bkt&yP~>?tb~r4Q@J-lxR5P=aALRLB<anZenhn9~RfkPSbTw
z@hGnp$w-OHuP^|k<07Pc>WlFuZvNo)(6&Hy^#7oqa|#vO=XolA?A_Q74O#gu$`B{)
zvtef+fR|enI&(Hfqt!=cO!pi=)M!HwYrN)=!K%_Qq)Inj#UNKJRnsoggyK1a>aFlQ
zeEXhT@7ajtWNvXqjW2A*9zwwZr4V)6!`=Dk3B8t3PnQlp<M(%mti}(S6S8!QsNeyG
zn*VetuCR^Oh!1^sB`YF#%%Vz6P90=bb!FsfvVygXQ2n$`Vl~kPp{)g>4J&efPY*&%
z#;8u-;c33UVeuD{)%e1Zm!ov<v4&nTcOu7fOR5p1@J{q}`oZq}1XUkj)Y{%dWJQ-d
zHen*~U*6@^>~b%}DqJ6;3gN>klmgWv!G8SwxMJpHvo2`DhlM{o-#_*@=(X-qK5euQ
zY?OrgN3cMKR-de^@kE+H@R7Av$a0O%oF#6C)7$vok1Ul!VYm<YMR0-@?Gdx1nOY!;
z<F+jOW?b&p#Ud-Tal7|fZ+<#I#rVReoln}~H2F&_hL6=|nx_(F-;@ZM{03XHVxyB9
zBG12)8-7cgg`e?+hpd){WMm9p`7b$ZD&i%4dU!|sXU90wd@*VK(*75FUl|o;^zBV4
zC@m6_(h3679U@AH0@5H2(m8ZUDJdW&F`|GX-5nA`2`Js&F+&eA!@P(8z4z<=_OA7Q
zcwM@{fthEYefIwCc+Rtb-P~}Sz9VfF>TEXqUJx&cMot*NQoWrCzdIyd!$>`udaX75
z%^}%tN>ay@i@E9x(!|WDqnzzdDzAF4(=|&d1ea_{opX}kAMxUGVX<{`yOCzm=2WD#
z@&Xb6!k=%H2rh8(fSZed9>6md^k+$Hb>z~1XDZ;iDbLbo*>@CdeK<~Wh714*XBaTJ
zop%@o?qmP}Bh+wtn3+DGa>kjdT)$L(8@7J=Qm$KYd#66aSJfm=>$N>l|MFp>8Oy;!
ztGbJr`8`f`hTyNZ%GR98ctf)Jp{ulK#`Q`BhcEq);(37p--Q|qY*YG0v-B0Moi$fw
z6xXyr1-@q=z=UrYnRx3ay$s{l%fjAH2r0w@V3#3lE0AKKS(q1ASo+8Hcb1<(AoX*L
z`t%2**L9;t%Cz2rqXH+Y@Yd^a<t&ML-xFa8_B&Z1wDpW5l#gsa9CB=~F-SYcDTO`6
z6Z5+CS@1pc)Nm+<%Q|)Hu$bk!AM+VhqfjF+9w|$_i%Es5(@y@)1Sb(v)>i~M1xq_d
zA8%`^7Z$!<c<hC)?Mf)O>i(fZ^(n8yc46cRC0|hBa5d2h8${D1Q76v*2ErRPlhRxT
zL7LL?+0EW{iY4*(D**DRoN6okd{C9uuAos7g^hdXGBIh3ga3iS@T5Fe5QQ4>g7Ado
zG>7L^H#7<wJFsa-mL*!v>C1A)U8stBZ2>Su1Mjl`W7k^q9yMn45H7yaysVJiL@Rlj
z)QsL(8<cNOVIQDQ72su%rf41^`&l+ru@w6_E7%a10@jju7);KOri@7o4r3qCc%mBs
zFtFTbdOiHW#E)91sBFlsFGHKg#a&Or!glEA`U&hy3!TL|t!k;S!!}Ej(2j7hGkr>?
zGv|S#-0=H%oZ>uTu$<Oy+W5k<z1h#~M?6$z^?9G&wzoiJh*SwNAl7YOT_5!w-1~^$
z+$3&ivGDoaJy5!N<e>S;{Bu$sIy$s_07KisBX_I4dgd;b7*Ckz2~M;3nS#y!{<F`l
z1$9++-9;)7QuAK@@--l))P<0DcK;RZUTEN)^f(d%i_R2KUP5Wpr5n_7_GN~hI{`4!
z>aX`)bIewH{zQ2xHh?${I^PSB^UTaz8h1I+Dkh=A=R#D!de1sPRy%1-^LP_hVRbPX
zs)=-xC^e@)9`<}DY+oLZb*xcnd)Xx&H}ForIkOuoTLqG3T5BqvvhOSbOk&gz@3<}$
z5@$WNo_m(_D9$;9&Gp)z_)mKE5604m?wQiQ1Iax1?bCIva5w*aX<skPf@KAqE>Pw%
z<33>tHv<y1JTdfspl6cFZT>S!sFuf2CbR$7)dzF8#R9=2;jG|yftVQ2q}$JKl0!df
z;&FeCz#Zme+|v59vDYwm`_J_&F{6H)e}jon*s6KOT5>U4*!F4z9HDhNt-$Pj=>99y
z***Y~GIF}!I1=Di*ZQW~YHYw@Yu|g1JIk|syfVWp>(C1P7&hXn?tz78OKA$GB%i|D
z=`@O0g{wI4{n=M}{_Q5Qevq6Y#yeYQ&!v2*$l=S*kODFDf0BE}*=~T<p!W7U>$c5A
z#$3uJ-NU|2*2*My?gbDiJ$)i83y&n0WI~Xr9??EsKeCkDBmc6GdN1cutzOjoCfjl^
z7(-p@l--0m9k1J-m`J>3R<?YTm_t}g7=rjLmU=WEu&?0W9n5)yB&+TZKxi(-9Jnbz
zw}a><N(MJ&WHUr8@VMdHOC@B=p1CUHCch;<uvvnJw(&YWl3-I!h03p8wew@8G_=0}
zRYQKkx2{lSRz3bW)KVf(b9v2o7wx;txB;u3X1vzM5<&or$XV2vGpJ{MJOk-UW+jn&
zj)DizS&&Hwmd>byRkD?*k&o@y_<#FXQ<-@1Gq*%8ynNUmtDN#jvSFcnEYG~QsH)eb
zZ5O&`P00Uevw#%y4S4+@qp&**M~9`9e4KO$W`SF81738X1Ua-t7Yq*a!X6hS`ZLY;
zd+^mFXK7`+MP*RaNw@N!TfEn!4fU?3_I;;Kr|I<0(#U^V?uDp)GilP5Qs?mFG1=aJ
zh&QobR?<s6ie|+flYw~V<N%Tt$x9J->>+Vy9NVE{hLL18<*T};s$K}=%%8KCO}VCz
zeUc5^&ly*BxE!ATHev+XBx|B%=pC#YT?1a3@1Zll_JAE1YSJ$EB)BXWs-u&e5391O
zxB2K_Nx1_fdRgz}bSr0ZWQfp6a=QF`j1Xgar!#)&)kjo1&18Aaxd;5ZE2s%qm6lTN
zfUy(=Bvr*8C`HGQ5NTCA&C)^;j?}-k&M?ZnF06s%2OyURo9mmJT(ngPg8So`3^%se
zQ`%|O4&no(S>0QSb+E_chWRnEw_$o#D)i|(K`aMmnog_8k|v}xQE^_?s&p~R>M98O
zGl~B<cS<7M!U`R)VOR&L2=eF5gm@(~)_)u&DP|5we4^6x812cS%TZz{W~FG3`cDd!
zyB|h&UF$N%At#dTdR9^Mr%x}rKIw~)g(oG8tk2pD!%IyQ%KDt4_=MT|v8OjXnCNtP
z^rC$-<VpMI8G7o$3^nVC!qhxgs%1R~$kCFA<fTgs)Hs07483*vIwC(5sH<O}InHrm
zx;v7=q<Hb)aZ`~`2suTl8M%S-TISqI;*Ti4*UHa(@esd-0Gv|l2IHV8KOr!GKWf8{
z`&T)&oDhum3M$&?)5%7@0hUIX!8Yc>=9o;`bGyQok@TwD6wR!YE9*@7rSPUqs7^Ns
z@0@9e-%5mNa;BzWn$W3<V4*_^i~2tohl*4n1U$MITGG^HKfRzla0c|`HDWSnM!k4$
zM&|r*(wEQ-jhKxT)KCuV$3t8<BQ6aaC1e$1gKwJ~Vxo?cfBB3T-%%@dlelf)6?34q
z%L@;-kwn}4ddJz-R^ZW3t$#6Oap(K!RQZiiT121(kqvFzofU965*w0kh*z_4*P~S{
znQc1%{XKJgZ$X<JLf*kyfB1Y-+-s!wEim=&k^3Thdut6m3{pr7MGR%()$YSC7i}W5
zwGC2CS6G#fx7q>R;op%20rX*)?5&+kS)o7+c3UPR)zz;4d$%~Zl}Z*D`Vtry`{6@r
zYaR&BJf>w>0=iPi&0bCaX7j8;e7-2;CO|1K7HAj5ZGyUU*->@m@6<ojwX1~Y-icax
z3mtA986nde9dxP!6x(7Tc)_9xG9i$|lLGIYnYmV%)t|$bT|PY1KDeR*d)><<uSUrE
zf6s14J8&l7m%S4}^m8Ahwc4d(>gLE3N5K_!wx>AqX=g8f4teq>C#bJ~0ZbHPj|(2=
zVG7LEsj%1ik5#Sq2bXZXSyam_bQuK!%6-U<qIfl*dBP+Xwbxf7bvojA{y^TiBaR8}
zTey;R$JAaenjBd9!BnJ3PGCjYN-KBGEs2lCY;lwB$BOVOy)vP18B0#rucawXpg1xl
zV<*8|>5W{b-i|z@@3>VcGV_=Z_hJ}Os6wY|ua>p<UeuwxkHd#u2cn=nuk2{EC*Hn?
zSlz@GrA9s6GQ5ZF4hhiStboB#D5w2_!a4fVWDfHu{<<Oj{)+9?YvcZT=$6#qQDGsF
zwp$w8GOrh^?@Ns|UgbaMIs1@suOUbO(98L{J<^<1YvgzAJRahzv@HMoZgTj!^4pG_
zeeC!$rk;WLlKk8maqs+pznW++P6;J_ep(}2sf%LpoN;A_<Cv~9sDB9)0Kw``N{!ua
z+c#5)kvvSs13ihJ!{nY6v8VQqGnGx507W}$Ytz(jUHB)R1O}ijk!f6|75#W+d5q*D
zdpj%tCg!DD8qlQvr)O-5aE?e9t>ogBM$%g11FodV#VOT;p|-}P%e^RYK9~bB&G`0g
z&8-=gZny)>oC0=WlKmp+6h#7DYauuSAwx>h>17qO=z95>AwoEPiKnESn>W;lqDA|u
z?goyFw3EOnr<lAVSH3*0@6t4b)L3JY?KqN=d}Xt+_)@YJb)C&l<e~;}Yn#;5TQO&<
zI<se@ZvTfKpA#8^jct*`J9zTWczzPC<eh~LBf&LOV}%bGB^N}tOch7M>Yk<go{Hsk
z=@1TS$?Tvdo%g5-DonwJI$SsWTzA5`IZ9X+-`MxfOu~&|arvqgIaz0QUFW1H8+;r(
z)(xNp0a>&veO8{#ZXM((nX|THm7TCDs-~Uu92Nz46&n02_?z1v!{RtM-n~jU<KyQ+
zXA*&(&^O<naA!`PU~zSq$!{vGPN*0r_g?fiNcBFn%Ti>_ViF%DbNQ|pe^e{wui!3J
z)MGw6hs{eh1|eHJU;1|wcO4M3n5}LkpuDGWb;J#UQ!XRnd_tch={_v4w5nfxOv!@0
z!%Y#_(@uW*MV|Iz-9z%+WPsOH;44QL;!|XT$EacsuYs#&$Q@JVsJ!%-AP)W3&Ybl%
zAHX84+OHvBp_M<<9yzfEXU%&}1x7y6&fi(+<~Ah_pk2wlbjdMJUIqOoHra|wg-~VM
zLl%I@eXDe{zJ4B(5f+zG);Mh}N0b8F>Ke;mac>Y~*=s$z?h}kI<UwF2sLBq0t#T%%
z&!)VrriMU{tANt%^(GhMqzM}^gyR{(ZjC*;=I`}J%y)TTnoiC9_TckA=tw1Ly#4O!
zehuCEt*)y(%RzU$&0Gh1j3OWF*gv7kzO(Rx+w{c;43_a&@NxLBCpRhLUZmS|e=1gc
zoo(KiIn#463c6Xl`32#(<OG;IhXbDK*NohY2J~<m;cq3s@el`grf;6#!r(1a1ZGxd
zgp1~gB~lc`@>yFYkvxw*=)E+NI@lWuJiawd-T`%6jdJ!_Lo5jZoBNr^U+Jbuy<6*5
z>3kC_y-BOv`&uWSfv522H1ENG2nL3vFwG0oAF6!+`$**g*8a`fg^ev3*LVt(=+;0~
zCRUrOU7$DXp*ZqtdivE`pSqJ&g`24441WJ=WDQxH%4?K>8RlHDlkw}zZ@>l_Ecij0
zl&^3t>gu>S5&4DQMLd7u!aHAJd?EWN#<upj3l=D`e>+Hx83l2^I4D!0nBKAky8ODs
z`%(nHX92>x$ljLC=+IComBh53%95x;5Xs?>@IB4?!?2Q0@-m^jpM&2ce>r$m=euyi
zG;zw{7%fm_6=w)%<&-fy*yxSCjV=$erA{bY9318ICX$MHzGg~bR?vhNc@tC_cpf%J
zPyqth^UZ#Tq1^Oq!qB=Cr@PogUtSGx$7jnWeHIW?4l`ek=MB0(5fMT7^|8Ro>q9M2
znELhae4igxzv=`S!%WHQ=zy>Rza_H217zi`t@iRb&}fx<wxrnQ!)Ma%Z*cKZy_2j|
zC%#|w_Z6H{@DU7&tM|_(UV2M;FGsv8Qanz0O@PCjowy|DG5w6MBidPHkKXle)IMIT
zGLh&(94UIvJl}E%BuFHcH2ML9yAQ7^U6nD49FsZ+H(lhAUqbx~ONXaTzDo@Z)sVKe
zZ}0HCtn;RWH#SI}d0+WhgLY1yxt<bhCghAQKolqz2<r`D@ch+ehP%jlB+Ugw$CkC$
zS<=X-^gr`u_sIlZ+kQ9oPpwfjyx%y_q~CD~X7PWI)cz62nOQLqpSN6B($a1T0K&Z!
z9!U2!FelPg(EiZI`Fg6elL4w?LCoQU-*bcaMaS+V=g;KDeqf&KHV|#ni-v*-%<1E#
zM_bbv^SI5lDJE)Se+F`RW&)1LaG{zQnn|F*$yqx}hgj&mPt^ARHkKqi?ML8JBCvvp
zmaoDOa5aoElBvAXODZlSk3^0rnvYX$`ZOgI+M6Dl-d3Bc>#e>+`KNF4X;E%;*PHA-
z@`rH;9TVP+W{a?6Bgr$-%PnNPQ}~IuGis}BZ(8!*jWZ=W0B5pxXXY2dB@A^#GnM|~
zxLK{>QT$9IENMRb1!F)Er>5i7piGLbB)_R9{}offahPTbN8{0rv3?j^NExYYNltZQ
zsCGnH+4f-jo!=J0cKCow|AdMix{NYL8(Q}EsvVemImORMczn#wXrB#@42;pSp#UxT
zcyPW}+id@-8mLbEA^qB!K&zILnGj;J2wXYB&?e=EsPv1(PBq08;84;;{N-CS6v`_R
zT|WGwb!3HebvjPEsW+WkFTa|PCiX<L6Q)aP!~09y)U(r^qjaGNx%x;iy4Ha&`S^Rc
zL?%FPDs=Q>>Yu^e{Rxr@r`>PXMm@i&oM-Py$t^u&Y0ITy<fz+qYrWoVih68eFBX@D
zhd>o^+xO;Z_A`;!-~YK-r*scTaF<)$zTYRlq>N>?!#=71Pi-xZri=6Hw)#Fko!bdn
zDD>Wic*Y6!p9NGNYkdC%FkHqdCcaFKP!HxT#kGK?`p{_Wq;@xA-7Kk^FAuy@o`3oD
zNyoIdhVuM$hC!;PF!1Xu!4kYy?Crt$^ats{Agnp#%I$4$aI4(eh%?jMJDIWLmy;a#
z0Z~^?S6&L6bNB&Ec}lu-Sb3Pxyz*P>d0k2K4&FDd9&PiUdF0=!?<{a*YQE@ukn@|q
z9A<eO{1h!u@CmBl2eJsafKDGS50Oo_IFi|!yHZX0*_&p2Z&yo81N|BI9q>WYzUo4-
z3{hbG#(hk{En6R$-Z7qdlfR`kx_9eD9}b2;C0&tPIzdwoS_94eN*~wit~g!YE8*S_
z@%Ezft@jcI=%a3HF6*(Z2oLe$oY#g|4KCauN2T7Q0>`Q8!OQ(@5R<w$Oib{1m;JYJ
zvK4A6reD6L18d6Y<&d9~Q!~8NO*JwnaW|r-7`0XU`=WD%neG}70q$SjTg72<!R5ue
z{+fh<j%AN)z0l<qe3GmDy3o_}hd-}OoioD1wud=^%_;PNpiA-2@~e^aN7Dxcq5(g<
z8C6(ev@lN)%6Z$IMH)JGnVWNH7V(zHaHYTJO7z4wa>W-GSs6O9f7~rlkx+{eI{LHW
z&1lq?c`A99**X7W_)<#t{RwCB>`76DL`oRgr|%lE<t;7k8z%FPPP;Y^{-U$9clY+5
zd?G=&_wJMBM4d~8Zhl<$W#RkOwfQ)lI{j1eY9pyPsqcMS)kvA&vjGl~(duOnBMI+3
z!7?4h+9XrP5#)H|hWhMAuV?ncdSW6gufhRhn@B9#G*w>}GuYHP-CUF@e^{=e;Ek0a
z7m!ZI$N`J$Jv3^)OeE$Aikhc|sof+hJd&ww;)E;QAC~EH%2))}<%YkA@q+r{E~syM
zHH!~AO7ou8RDEwB&7ASQ?DjUD^J?GlqzlEU5+Ny8aqkPZt!3&-OH=KrQ#2>RVwHwh
zoSaNv%rr&=6?=M9Z$D9JjDBp=tps6yt)$%;BR$&~lUORBcXdE(g->XS%U{aQwo6cP
zOP;&yjfKAEy$Onrmr2oa0jDhtVW*11zlek0L$1eD#@2`4pPZ5{C@c-i&C9*0$_TgI
z;qs3%d6PJhK9-Ufs_<6PKa|I5-f@0@aH1B+Xtr_spXo#CEF0Um6#S^vc9)NbqFv{7
zwNy;Ya7|AV-91|CI}0~Cpkvm{Cya_jRRr62$TV;?ZfRJCY^R=$C;tVHYJ{uMa_VZC
zn9J*p988THEM4$qgXT!~gp<jA64Q_HtwO<07v}5u_D;_?Qh)korv>N_NvMGqJP9nq
zOD$9sAu5W@`QMwA{PprmisX#+`r)NGO_JK)UiY_Yo2?Es-g+R0W5Ul__#K&HPVH~x
zE3@0ZN9wcH8k2>ZlGUbO_}fr7&3JntdzxS!DJl#v-q&4B+~pEwP$lBT{vjtt(P7Y@
zA=iDKBht#!S#hdMKdJR1$ReLGUwPz}lBJccVxrUjt=c-Ts*;x8+S(kv19RiIyf_Ki
zZLHx@p^Ms2WK^tAwN0Ng-gls>xU)cGXKJb*DIu`UX7Q6%dFNwpPWnW0cwf8KTdu@y
zGFoO0{K}|H>Lff4J-w$jweRgIxYA`R-n*UsO%cM$dkm7|7rSRS35iu_JiPO#<Z5Kj
z<0PN^KC$Ui8m|Mg4yQN!-Ns6Q7tmVGclW}FSehgV_jaCC7FA98w{1d<^bWO31xO-U
z%IWNIXF^3R968yX$YwuQQ^-r^?UT(QKgU!*v*Y~el$V<=N0(Teb5))A(doV=-Ml@W
z)r`4{<V^w?FPeva%I3rUZgFTGdLeG2%)^{5_kp7KX`&JX{{%(SZTT#DqS1#UID#QB
z{gOKIKeIh8sZGjA=E^Y8d-2@M*>3nDn=+X>M9)oAbCCz_ho&M$OR?bak@-aSR<#qh
zOW^E2=Aa{R<S?4*IL@p~7#Alb{YM)q@!KEV%b6LKxT`FkAus)cmOzLsDKf_|%kRUf
z!cK@pl9r;?y{C6*svRA8leP4+^Me9XBX{l=jJ?qkmD%k!R<>rw0Z`yLGcGFqn%c-4
z!UU(4ez7EO5fJ@Jig4SbYt2__@?KSmPHo9%5yt6CX;)47$(;ql>tzQkE>K|J!y<2t
z{`>0D$aMCI!Bz&xx2jJgx=Q{9v5)dRks5U5iaKCQOsF$UwjAf*Tb|^WoXT4`jmp~`
zC)Zv2;aU&7SnMC&v$(5#m;c_V5`na=G~e8nB#D+;1i`ju!{K)`njBGa3!v6vG{M?1
z&1dT3UJf<-H1m;jdaqRvHQKc93~DxeD<#%yFK}v#ue|EJZCq$JgS56LLw<ZtOq-|N
zUPxXtSyRZ5hC@~trtrT5)3i&2e}V?TH=p%KVfhW|%7@=)@gFv^Ai~25ms63Kk5nSD
zAdx4rpk&q|?-cv68hR*4jQd1i;=X*yFUQDVj$ePVm>ctUo<}p~O_cr5S%C1vln1}K
z1$3+__*PVCbuSCv?G*~f?Cm@{@orU7PH3($d03g;t|33CPUIwq-^EK{B8NS~Vinz$
zF5j=Z^D#6W)W)k6lJP=cpEIVq3AG|u@gFAB#mllQbHy1WGzVR;|7qzSM-x~||DLrp
z;<m#7;WTy2aR;5q7WY7x=#v#uM)YX^vf**L(x~?I`B-5-$*P@#U!+$}ngp3Lmy5v`
z!z+FzuA<%R$|~E?aaIz$pPu9$92Qv}El{Qo+3&eY1M467Uq2EvETX@-NU3uaQ6&h4
z!z(i{ZG9LpJ7K&y0=KKlk}^;`XJJ%-*8O;E8_kIM+J^HJ+3tYhh!zz}Ur1)=wj@4~
z;Y>TG3aLM)0_PCLh{qeuvZl6ZNT$>{(vJ4{?&Y9g6k5LG+nqeJWO$W>DkV<vS@7ph
z*tmFZU?3|OYfG}c>p;M++%ebSAr9ucsxm~!|F!>-4O8aK*4cUL8LlC=jJNS8Lwo1x
z%jWYxXl_-8P6AgV{=gNjyE*RtkFx@f`kpf+oVoqs?|BM=8w)(3&U>JtU7%(TpKBN!
zBie0$&tKNq_@%*PQ^30a^Xn*qf^f2QNeFKb17vQg?fh(Fk@PwyH5;O}cdb$w_E*)Q
zEfspW+9L=)t3V^$a7W9N#xav5p_D1edj6kO@XsH1Qv|VeD{Z;Vf2XGOi5+u<>_?p1
zS6=sg?@SxCfex&@^RzptGQ^OWd3l{C$P@g)9#v%+AlS^uFxt8k2yW=Uc_Tw_`2@!!
zN`~#Uu&AgB+b&1gVWRp+j^ECQD3k4jKk59dtL?Tn!#OQWlWo_hE&1`b#p%-iXS*Rx
zA|fK!38%Z07>B~u2i!Y5J6s|A6r38y#LXU`%oZNd`UTLO>w{I8PL!>0c2Q_b;h%4x
zY>#5}92|CKQzRG}XlDyL3y$q_q{i+n5O@+DF8(F6v$N~P3MY#`e~_C0S1=S34K-`n
zq0`*k{PEoFCns(Na%w3^xH%dtnNt()vs3s3wMYuO*?0M0x;Ge8!;d=)kQntOwp*w+
z(o7f(c3%p@WHH|&ODkS%HlW6vwj0fVPrf|<5nrwPK*;f9<s`P7zppbu_50u7TZ6{X
ze_l*tOL+`J*?)bnQxNHwD4bGg%u5~m!!njmg&`(>%7Y(vnolCH$PxY*M<-2!Bu-*D
zifkl|di3pGW=Fi7A)BgF1=;4>Q4iix(;Ycjl90M&5}PmW)SDfB*u&v@;R1cIxfT^u
z8Ek!{%;6>Z@h_r=Y777S;{Pqqe_#K9c~R(1_-p*HiRRa+3vGdnKbg-7TyB}-W&s^`
zu=2wYIFn_jEteT1FAF=p`q<L~gu)LHSh~8p+HXpY8(PNrx7#;{p=KEa>t8Hm5m*aY
zI#>x2WN<F3n8n83(k8~+7WUtD8a!m_WK`35)fod0ekX^Df^+DbSaI#VOQOu-l3d)}
zZSX_izu~tCsf<6d^+knxgj&QN=CCQZmcJYSb)~{EXSaGSE#RY;c2<cNv@noO6K^wO
zHG92-rQ-(%#8XsF@4?7ARNgx9rZsKtRSoC3o=w|M;vnuaH{bE`TkeR!=&xvb(eSpO
zudK=wm|?kt?OdkfH9kLb6lo$CV-G+0T{SG@|IX6V689jDAEwEneAEQywtA>A{OHfT
znm+Jb3dNTplEQg%D|H{t5I-3&(n~<>?PXC~8dF)Kj1?7oz;74mrHYIkLB@6U*1@1;
zxLT5xE`j+p7{pEY>({S>D6%)*G{Lp5%N@I^ye2yhh==YNUg?DG5!2e>mmIsBN1Ko$
zDJxZmkeBgf9n^XyhNpU1b@SdviyNF}jXS@NC(6t)p0S4r@X?G0Eq<r!`7y7fzBM$6
zkN*4TMqN(%liN#5qF$A^VXc^El`j-hW>~Yci&gZd1V<^<pPJX$=SA${&}-Pwqs^c<
z65SSugNqkK5Jp53rUen`BI@d|tv%`=k{QDECsVY{eDI5KMA9vT4MQWNw!6mk^6710
z9}r0YtqriuMw-=1v+JWYJ}lF6Ml1MY{xZMG%)r@juQl3u0p*-RT9#y&U{P_7z;$Ya
zH|{oC#$t+)aBA0g3FKu}RmXf=88)jXz*O-k=jO8RFwYT7Rr#In(BX4w8yH-mLu*x|
z`q9OCjJr_O4qxWrbvbe)8~}r56o0|1^_3VtnFsoK)umu{Ie|=NzkXfblkR+m*#xt^
z^=0?4<DKD)>`VM6evfBmS(8saE{>aYW%hn^`)z87>yMl*FD!c97)+Ln^_pS5>+)l;
z*F7|Rs-q_rY8=`-pFGL-_xGuz$Y?`ltz|vdN{kyS3HeI59@RrrVA+s`1|t31ww{>o
zl^l<X=;&yZ&U<5zKKEH&8zBbEp0;1NxUct@0tI34c#D4i^dWt^^umdO5s4T%Oy}LV
zzOr4b4B~YOs_T!D_VH4ZC-C1em~IVh>fC+#)AxA8+A?+#yVZXaT*h?A$J0)pfC=jZ
z|26b=&$oXAXveNboQL7ASNnB~trcUxKNn&>fw!Q|@E_IPei&YUj%6)WKi3xZp~tf@
zY9C5Ic-atpG0!D?wlvQCk-xPTxq)su{$-E%tE2?2_}1o20dK)84!=zyL#$5)+mUrG
z`%awq??zy#<m+jAafgBPswAx)L+0Fis@RF&Sc9uu88mv@AI&aadmBO^NPoW{a+fCn
zhSO3dO5Mlj=A?4Jf49VuBUrvbrw}qrkz2CCe7rq8JZ#qcQ@WR9-1l5DjDC!x`7Mr^
zSmTM|^+Cj&iwgWQk{4JDv;J4w`9um=b-*zi+ReIYs29B^O^j3-5=hjIjArrt61tU>
zP#zWfD1gaDz>zd0ulA~no)e^Dx$siO3_mfhKd{V?d$ZmTq_lH(9ug83rep#jV*!Cc
z2oJ8=lozUjb+xtJSfVO}S;IRA2ZyaDlSlW@BqMYPa)amf1@oT8J%cZH_E<KKbpkWC
zK^wOMGv@R^*!fEJMBf$LmBn>;XS^u*&5qAW)R)XmZV3sARtoug+tZ!#MPA@`o(;yO
zt@?WnN(}Noda;LIMS5k|d?6{^dN@+kb8{$Ie0)4HKWtc3SQtHn$R$a;n(qBO%gT-$
zPRQ3>&YL!1l31{<dE=vIv4@oaTU>a(V%HyqYt2HMz=|D$*DYfA1M7g@`Lv(n-A=qh
z9srA)zJ81kblC@VSqXHxweJ#qHO8jwj2on<tLtT5xcUz~G&L(rsJ6YgXWSJ;HS@Rk
zzGd-V6N9||jg?*hM(J?tl{(_f%=;t1EJv$<kGh)vK!E`B*?C$Bby|dB=P#H3ZEV>1
zm(Yg_sUx4Tj02!i@_L)A<+@y$3-Gv0sz9|ixIgsN!}q93w{`D#5&Da$i>Yp|);W2(
zcyeEJA%xvD?kSiiU4|`l+c;=g8tM2LXiKWwqCzrUdXpalFEfrkTv%}T07~Tq!DNJc
zcIJCw;WqgaIAk0}He^uqZro*lI1={z8WD9w3)I?L2Yzh+R>RhI^G8U27~T37wfxjS
zg!4Lfe_Tw(k8BX^X0>|Qk%-(Cev|L>zjyRzW!HaSHlWVuxm<udgxrKG10$oR+duoQ
z1Z?NsdKhL^7?Q95qArfPL&y1HOvR=xemBZn28j=vdkD=d^J&lqSuE4)kA&Mlr~Taj
zimI3R0Jk1WoQr$CNUBS)oQcH`E4nS*$o~y<ojtJ5u~%lCtCc=hHaC<TuPQy)h7axW
zjKjVvF>}IvCIvvh0x3dGhv@}>ZD{Z{1`E-&j2&kVPrH$Y(Ms{B+bRq^Cj-$WVa@`a
zH)G;*iE4{+z=Eg&gT(6)vW_1hHq?05uZ&$=S4}%b$TR0}zR&EjVn_sr1NHpc^FR9H
zQXj2pY1yOQHkcY)c8yw&mxNC(fO+&3KjZir2~o~p-80lS@@QC@!_AuHkq2%V#sJ1q
z;TeXXK`ncg1GGR`d?2iab1uqP{%e}uyLYsU)6>3YvHZZEq&EE*uNL61d-Bjt`?a%%
z+xAb0e}bLyS+Wl)EiEl1siN@(*?~dxT9PW9i1|sLEq^CAWlZ<uz&gv=-6(dkI9j+Z
ztEmYB!H|xUxW^yvsv3KU%Ma7Tg%ImMf{9}1+53%_zvM(Bo^9}(SZ3@)D=pB*FM(Ie
z{;>PY*b-xgVu9)Z{PoLkP_AztKyC>k)sy;iyya~IFv-0daTb1uqM24go?ZFKAcSTW
z=gh3IwE>AlLly&(@#xQqX8_aAg+)d609ttQ00>#f=c1Ok+iCHgeHt#z6+w3W9l7C8
z^A^*(^Q*|c-MYoPO&~Tm&JYB<b$%1t^nGYz_oeU2L6h)N#u6nKAvJID{??YyLs)%_
z)}!WJ$ohQf8sNL&Hc|<*8~>#%d+VCeuKr|1b$AwexN!05n(Co)5|Y@%hn9VAScQYy
z5_OE0_5nOCZA9t#0Fq@%^t8SY248OmU+3iDtyF-|&#FVL?oO7qCFSHsV44A<4R+Em
z*lk>!urQ9Yr{M0|+MkQP2)o%OCQFp?Q_1j8HdWKv!1u1WgQjA7lq7!A$k#uG`M7*3
zfbi&-zg>pUHwD+*41QV3PcxMeR3FU@ogwRBZ{buPNpzLv&gKT`QGJotBa}AC`ey)?
zQDtUk_IP=E8WYVC+z*XGfZXnfD!r`%_x-yumD77B{4hy?U}6}`GN10@iDHA~v55)Z
z5B%UJS<A0qI|vnq%|~n3CbT!w-U8D4Oi^eXyZ5nkMvyVejvX<FUw~BQ60QZyW1Sou
z6MA5`-I8hUqKRhtgrlRYJ6;STaS_;FEPxb(3=9nF?NBV2Z=3J?T|!*)?fuXukolUL
zJnVNmuCjEd$D6~@q&}+!9Ah$hG5qvfI=Go3W;k^qWexNI5ebZX-uPMJxjnKLiqEJ|
zCVx&QEv*>Sjtm9(Vv457!u8f_2u{oC@$5U(6fY0r)eNfpUy|ql|D*q}f&ZHtxSLNR
zH=;V2C0-??K6-lP*jkaFzaGebM+rQX0c(7dl$UF5!cAP}Scv=S<Tapzo5#_?T06dQ
z!9fr)pPNYITm)RZFYUHK${g+OFKiyKf@TZRL`@VQbeIoU#`Tf4k)a_BHzGGqDM={F
zV3INWv39}OntKBTn;O>zoR)V0PbiNAheJ98Mis@!mSeq1pCzzT(gI}KB%#BQK~URE
z=f|&WrC9z!=jD@pHNKHFCuhyM6xp*1CIV{3pS}@?%_Vs4Gk@Uc*elT{J!4g7H58vP
zS_d<!fgrgR6>e_4X|q@gOTSW6Q|)<pcqlAmUGOz<oI!R!V?6Unc*N&aA&MJ+%_27A
zHNHDdKfet_Hb6=Bsou{zIsFw2Ts`UR%9eWn`OGR3Z5gQ9T@<^kyQ=B{A)3j-$tiFR
zbPfU>Ksx!-&+kOVADq4s+7S{FF}-a}@C0Ax^@=N-GA&Q*%*e>m!fSkH<q^Bj!<%NL
zsK8io6S$;=k4R^uj}yB0XY-glM3cnDlXjcF@`=4p2Iz9+k#(r^!-SQS0vg8-feNF=
zx^A|FJcJM1)7yK&{p)+Mp5XD3k=OiBUKKjtT=|!$m)AUj6=6gNB_J;0Jz%-1(`o<N
zfHn!W7^Tlp_oydZ*0*Q)!X6ucE``)5kqi5oqbHXEGQsK?cTl)}CZ-dSsu~`x0z11x
zvzo#jE{c^L!WjY{cWAA4o^R|yqWxPuhERj8vw&}^26U}wjW!0_lLDhrKY{6VbjFFN
z4S40-UnbQ*Ct%XAbDp2Pgb!y3{;=4cC}}!-e5?n)Ud^?-ok>dtUY?ACjzEO{mmDT}
zA8{@GW&)G|tiH0c(tRCN%(E5H&4hPhhYt{&Ueq{*Aqg%s)%NJILhT>KrejG$o{>$Z
z5#MF0j3(m)o@*@*0R<uw_)V$geQrr#0n(w(cEH&ew-|Wv8@~zvR9$K0p?H5ImCD~*
z>A7^<p)7IBPrF9DGhsAcjo#)6gxTnEaIkg~TQE`c13SD4oJCS*V<3E^87aK!uN|2R
zLrA}>43rP+!4fXextWC4wEbuS1GLX7h=86H_4ptkSl3yGpzX$}kO{UBHq;6D1L19&
zqsghMda-a<R=HTWAkbBUT*)pNO}BusQ028dVN!)SPGH*zvR+&S*0CPif78q=q*--b
z8U~JY?Ic@vEVAVNRx$Q4J0&GWHVE_`Bsn#6jJ03A`iB=lX-CT3>>f;vSeR^h;G;*d
zybDz8kHmT*F9StL{q>i)&ky6isj&mA%RK6D?+V_&X^VA%WRGfT8i*?x>bWykI9fUF
zxOnH^H}FDc)LI-+6YWqV)$L7vM-zY7{9g{{t}?5jQANodPKr&6qX(E^q)!eyNg>0)
z6M13h3pA^3*t;V_EpO46r)^9}qU_3w%dR^-G!L9+JL7zx?f@M>hg3t|EG<{j%;9?2
zvU~HM9Igi7zkD~{nw4t%(f9!?0l*v=!@ux%X67=eoxEtK^D(Vw{YYRCsomwt_D$R9
zdHW%AxU7S{eM4h@em?OBfJG*gKxra=v;@H-may1h`YmCwSQi{P4gqt3!%dEGDNR2j
zgtm!2q`t8|@23_rV*>oJ=Q+W=%1MOacM;ny-yVp%EHqaE%PkO6U%aaZYT^K38;X(;
z4Y*x!65HdxinnC4mNz9CPAooer#KFKN}YL;gZbb1?ui=K>e7g3B`(2JQ&Z<NK!Ij5
zsDn<ElRXEci4r5^G?_fbQ&#1q#f{?&%gC(~rIEMdYkm%RHBO{IN~QDMqYM`fCmHAd
z1;LoZ8(Kt%aff*B-}L|+58q{YknB8FzMQeZ*w#kO+zhbLO!PBCalPj;tq@xh+l7R5
zUu~&!GDo2Ke52PDm9k|ll!zH620It+q4)SxNp0$rYYi2s0Cn>#klq-6tt~3rHEK5s
zO&{J|By46*?)!taqSXdvt@hrZsX>ySv|pa?1}6<~LU4$U>YTIj0}uq5mjKcq#OIu6
z0P;!W`<4NuuDoRO1dGa}Cuj1x2Wa(7k^PxPisK6uw?(Y>jW!=FEkC=61+L}m_NBlD
z{~GMmdIf7xT9VGo+l8eON2M+$4&rtugkc8{>S}9)XujrKe>EWhnu6HMK!eG|GIJJ8
zH|bG4sw2I&v)(%6HBWJ7Yi*%{-la7)HNOx+1j{>dbfV5QOD^|Eh0qE~Yz`qv4X6xy
zkzV+_45+@o?q(yaU3fEGPR|a`ae<-wbA1Go=7jb;-b5FI<&lM^O<~XyR+fRvQq{{S
zC&?NDmcZ2Cv4Q2))zx$VMn>GfE^w1?(RCa}n-gq*SU<i<8wMVENVA$PC;0S%-Bz~$
zPOUL-T~$TJp#uQOQ_wgs49&UA1s#Td8QyFokV<Fk3rDwHgFOZP-%|C_lQ(YzO-$x7
zG@nIzlv(HAPSj}SoR)a)=T6o<m4dnvEFXi7&k=E&+4~+St;|(Zu~5sP?!^;3SGylc
zOlLZBApkosL8Ie9Uk)=0kyK71W!&+f+_HVI7Y2-28vl%Db^eMQ2^j9YM+9GqF^8i?
zBqo9FeJAViYFRJEg%dK*)q_n&5SfmJxd5lo1(+BEHjM#@-w<$(sem93opMgm7_-U1
zT|4DkHdUEk?>)Bo)h@Ro^<k%xf+!&;zpn*x>*24z=Hp6yjdiCb?D=hIm<sbIis<-y
zOFoqUYkU9K&!bas>1L-~%nTcGokmI{+_xU%Z(pLBRo{$cSze{CA&(EYzBeM2&SqZ~
zU$x32y#h=Bz|}aaew;H!kn`$0urex2(?8GkZN(Nj4`^KjZO!b7i3zN7KzYWo^w{!`
z&C*p+8-^6Hn*!D;2hsx!c3JgAYZ<VxGE$_v#+oz<9u5;OOM6O`#PU7zLgD1V;)oro
zg&lqWlODtLRAhbiR?KcAr~1g`ee%QDQYVKEeL~6rC%U^4XAUXLjqu-87q}{z2}U~1
zB{kEyCa>UoL!sV05BeWXdxxEhK9|qsB%eY%h@-;JumBgTs0?z>gE~&Oj==}LmX}Qn
z+IndJv%QN%eh!@G2R`dS{NU%)!)c&-m&ldgYF8470GyW#FAQ*zhca>)@$1EX5cvl}
z2V(j4u;<%@4ISE+jxSyYofetx-%zEIw+$aQ_kaRg>Mq0-F%53UkjAg}P>>g@XuE-R
zN!+Y!53FkjIb~=>n_(5Zol#uI&9ah`5#(f~+GF^0&S5r+DaZ!`__hRP2u2Y|S^sdC
zLs_}ma~$8ue#d?0Q7}Fr<8J<f_{0p86=2IX&)MaZQTj3J6}1C72Jnt>c5*_8^KUS$
znjr_<2a_q!^=T~W9Z1m^8GTkeM;9nrEatn?<}Tt>$Hg_imKybge|5@4-a+<fPJbx+
z_yz%Vmc<UjX<qdar0?<H!-e0<nXR%NE=oXNMSsvKRF<8PU#EBRDh^Ck76;!p_pq?&
zTEI+aC#EW>xUOcX?tTxy!UC5`yq4Gfn?el+d2nQ}iji&}=hOLdLjc3{Fz2Q4?Ck6&
z@KFesES?7L!W?j41Rz<wPT;((Azl8ouUcH=rRcM7co+X!aSb%<k5<%@?2$If@WA-X
znD|p^XJ=;;oKvh&xur><>9?BPm<BjtM_Whqh~H2KUa#d*lLMX}pm2Lxpzz($!hnQ0
z{yvM`cEhU}Rw)yOyp_QN2O|cDgi)|r6El1dEHAMDG3-1R>g?&_HxCpBLrUpyoprZa
zVEcwzRx>Dgxk?;5T$i;qNoV%zD6{>BiM3fKxerAqHtm*GW-E|k0A2}zE3_$QNQW%a
zP)K$`CELw|IV{y6hbtV=Va(;zVUGk+tBh@9C(nNRVSm)kO)J%DhSM<6HgN>}ng|Un
zhyB06*x)%yOmYfVU)0Yks0vPfiY!YM<B`%sRsy29F2JB{R|pm@ln+B!#bmRa*H~B<
z()%WBB_<f5tASvVW)=Zs<@`2`5h6r<Ba@TVK7a>#wnwy0=$7nzox<q)CT893PfV?V
zrFw0(T@>4RvSrWJEDtoChI~BE5}0<x0jxGs9!!ppw@~$Nx;GHFn|>ufpR%&zt(>?H
zKw$_;66<y!wGLxaTXXrhJFUdGkm(;e4y6}{kB4Q=8t0v3#jS>w$rJAiI{_=N9=2d`
z;GQ~c?U^vd{{Zp!u4RPp8acSo2cI7+G6kL}wQ#*q;QDQzU_|NX<gXL)S6S@FLFmDH
z8JQTaJwgs67D#pgEu5)tfMdzLj6p;GB^YGTv(wgtfj(IT2F(ceJ>PltA|Qz3AgkuA
zQH^8N?L(P0;3mXdsxS5bdo2PiglGu{vgF_A?-HdByC^WWCG%p}pNj-D{^TboK4^E#
z8jhE3{v1XxW&(heyp<YosRqF^hv+O#{mVD2Yidfc<Au<kFVpjo`U-ieDC9Zj$GX1c
zb&cjp)%j0>u=pC&jM&wEK(Q<1`cu}y#ii{-hssWOi~)I~%Gu&7Ms~%m=zXbEf`nk!
z`Qe+M8B54}M8&OAKnU&p&dF(Cs@KDKsS^v94!L3F`}#e=+U9krUi`-zZy(gME~o^U
z+pFv9%5K}xSvvE`Aa3{x1)#%7z<7&&4f=TKZ)ay9Xficrs1=AN_XXS%>vPK*{SO{V
z9ryzlR+<Chr9t3Z=fR&b(>|*w!wD{MJ9~TaF^2B%LsHjs{7Y_M9|KGF1$}uu(0UZV
z>5$l$1d@sEefWGsPY!{}X<rlm&sl(UVj!v>F!&pU@_VE<3HZ>PrVOvVNUEYQ)c6e$
z6(5v%GKMU9)P`&;;%iczD&y;5>EO|o4ftV<2L8hgwF&U%Nsw5TVJFa8zPZ_v1hqj;
zFb70De!X7z@nmgJk}v9l)3bTJ;%rI{=HCn$b1~HuIe1bIu@{?a93B!8-*^FTI{_dL
z#w`ZC+USZNMt{U-^wZZV@4oeXRO9|pQ*%lQOHaccfFaRiG{=eH=X=`C^}p+87Z!q^
z$w1p~i{aYg<P?;1tpmnWIC?I$D5kciCR-q=-0iWk)LN)9Z<^|jXu~$ZweOQCbj$M1
zIFz(lH7^dj*=qb4{U`VE;I_m5czeKI{B9SpnpwtR)FBisEh+@Qg2bBwj=I#|_7jk9
zdpqp!h7z|MFFjaFo0z#Wo@5wYcQ+G)6?0ulw1L9_oA1F6T7f(&ARyTH`$Y>@{Hl=D
z<<|FMrgQYKzWdER>|mjM{ICF<fYApS+Wg4`45sJ?e=I747{T-@k#*o{C;#!Zzih2N
z&i?-XW*|+X5Tny4s@B#I*nG7V1xxogGz6?dqtI(lJ{Fb~gnmNJ61rxe-!><9wIseK
zN|bW47Ff^_O;w+vKYPTB8Tut#SbEt5OPTAf?+G#@>$2%!?(qNXf7EUXMwm6>pI06B
zlwp~se=d`#b`tm9yiMd46_n&l)mcY?*E-Z=b{M66(F$hMq->AgkKe4r!mPMaCH8yG
z>oW{*YBCRVmA8ao@LFdO6&p=>rsubzKAkR{+}}Rv6hp8GL&~tAr(!WmDdmxSy(&w0
zpH{`M+)6MXY?(XW3C6ShA(5?AlF^TYux}@YG4+JlYHSsi%+j)LU*AffbgOP4ZmQUz
zOGj-^4eFhv95kMUfk{Z~eb^-BjP=8-Pgqjen`#($N#6d!D!)yjb_AIsJS%GVhF^cb
z@_NSgx{48N=(Y@2^Z4u|7E0&i+LuQ|HEX`?kvXg9cQNtnBsj}$D-?XttkCx?f^uH>
zeag`KvGe||ch8Dfc%hcPZ107_189~Sq<w>q=S*+@iJcdo61E5GAHTri3sC>g17<h9
z1aqX^zZOMFx(-6ICUFv<OAjJwS+LVw+u7G31n2aq_}^|su#lQ^zBF58tJLs*-*M9>
z@@Osx^}8*7*(_9cbyPIKAi^~9%P|($K{Wls(wT4iocdeS+u<arRi*ZP{tZrA*Tber
zW5%56<kiXHy>(K)J;^D(0D4Q=kTPdA@K)9$6b_=X<XKXy3szAsnU9<QXZHP5ya2xV
zHvh8qipAD;3~Iyo8Y#+GE(-a3yc^h#EI*SeMoU0_2ZOg1j1?4qeFi*{FQ!XQX%?Xt
z4T-ofcW(zos!1uR28O^sKoznRJ`GE6R4s2J*QQUe=1~Y2)1}}bG%99Tn0OI?vnJqj
zTvqZo^rZq<5AKaVT<H|4R;TL19xR1?e<!f=Lz1DOieK${FQnHJ&SW~(6O6vR6?E8D
zg*t1Xru4^9J1jgKrhrsg4=}?kqm|aFeWG5%%8l_OUNt#T3ytIuFpjGt*Lf1IH*PWd
z{?gi;Pm{GGM)E%iCJe}KhhGUd>VXw}xM8|{&PrGAh;JCv6dPI!dwQI?+uQYAEIDAK
zi7#z)nG?FX$mk!rDBZSr%bujO<h;X3Xh$iJLn;Kk^=iP`?89IiU8ib4MDq4V-p<y5
zg0dpI=Z#n8!IlenoJ0}RUb?t1voyS?Sq_g2*cg}n5`MxW{G*bv`8jKv`Nh5a8h`op
z(<OFR;Gt(gSeceg%!OC(RFnTAvkPjiJb?O7%ig>{AGGbTZ}l<~xYOu!keN=4%-{R{
z^7`HYcXSic-%;b9k$67~W=KElTFLs2#7vl7q*R-z-nAlzq~RGnXueI|mw-G&h4d><
znbPl#e<JS9)O!PuiXLB>Ja<tIf8q3sC6q$;41PK9e7)Qj+>;zU<-f!fc(129Lv#Kh
zm=mS0@J?x+$_F1tOR#oLVTUbNSd_!QU!i=*h6lAM=<jnP$_Ex~w$x`!GF=B@N-bLv
zV-2{xbSaDjzNhn$(#Lv(c20&g8N*Wkv%cst)lw{6tnWkc%<A6Y`b8fGl><fid9Tck
zlxIqbx(^dGjW^^ejr(DN_Z84hkv}{bQ*W0HX<Tt`bI||%vGOO6%HK^jII{YnS9|!F
z6odB9nQmEB%lPrT`D2q=U|M_$%dHfnr9qO#yBi!K8~T82;RnC=XK&z2HySpRM&q<e
zjBS~Awk2)0oS+t|$B<wiCKoUU0YT#U;_d_Aha^ihozX)yF|!uh-a|gsj2JXy>s8F+
zK@{~F-Qbn-S+grHG<fycbp2l9>KX9CezjBvnLB?><jmaCc4;mRS)XiwP!BRkVqG1j
z1_z!z2s+zh>P@Lzs6Go)gB!wI5C1(Te)#$pR}~<2a-?dQdoI_GmB#1rrS=t#uY)fN
z>3_bSJbc`nJj~#jSPM<6E87$-yST2#1M^SCrEb*ufYx{2r_F@=;XP0BI#FfqC$8bt
z8c^x0CyT-7_Q2qaa~$?H55&_B^+csMOa#cqNp3d(j{>fwF^*>Itv^jPvKu&m)T6`;
zi$d*OcV-`^T%nJ}gAN83kEUFZ4lWp@^0F29<eX%QxdNA(HI+|Q=j?A|(x+_=@q(M|
z9J2GT9zDrA#KD|RF_9RH;XZ+2i@FUnN$)F*fthhQK*HM<k-zs5T~j>W(u1ei6TEh8
zd(fGG&wIK%h9T0O3BW?vob3O$^FB#)9cDt04cM``t1-#}<F>yISGzamLF)R<O)qe2
zJr<6a5xHtaXa8E?XRB}X{2yO%Pmb~Q+B=8qq@Tx}0c)4k!uymNceoI0K6b^Fe+F{P
zFIOrJPIF!yHjuRNco{b|XN*htp{ci@Hq&>uCC+=7+G2z4R<McYF`}=WtxKVXY!-AH
zS3lCt=r+N^4a|5%efony-O921;NkSYn3h;DlgwR-uE*~V`~tr}x{1(`)wrU%Z+3+@
zB-B^ktJ&%WMTXB$$2PQO&R}r1gL8sEwMLg@3Pi;5xC|Qy>-Y=nsLUGXZEPsK;He(3
zi_Jx`U)IOA8WC4Gr{odiZEqhY9Ux5}m5J!aW^RFIDEj+KY4<+=#0i@lLjoO~F(UO6
zD~;El<(1w$@i+Kq14MDnBLg?A9(+j*(hQu)=TAIx%RkICv?yyp>3TNbXxw>x&()yr
zXCh_xskO)Ge#0JdP}x&gEi0SCtVN9wFQYITe-pQ=Hl7{pFVt=foks@zrTQ~!T!s?Q
zMB60^q`a7LAso`NoZt$t{Yx9TyQ&)eLw~Q7CfkaZ|0)W4ml>yCso%Sv)V+Q5?<GlU
zf`FKNRaygBf=VUpZu<f$8<qt#6J2UvM)qBQ`n@Hh@?uul1tIM~%y3M31ESKmda%=u
zWwf;NZnH8{;E8=mt<NW)sZFnMVbPNpQ|0yB?KmeFcxR~e!CAlNelQQ0<+V0|J9EUb
z8McVrvOK)l_ah*ocdf>e>5L$x+jiz^(h>;>+3UUf{pM8zAg6pc^tac#JuUR99M_I*
zXOic|UUIZB_k)!c^eporYZ``%uIIJs#=Q)U6y2rn&jp32wF=Ed?h5hRG}4u|q8}G|
zvJ)W59zk7ydoxUJz*I-_LO&4Wrg}v~YOvz@vqm%Xel!fNzU71gZkrso7=bIw!o~ij
ztrD&yz~sbvJF2Yx$hV#JlRZIYtE@?bG@O)$^3>xnC_|lZsI|>}skWa!=!rld*Jj=6
z&N9i8amc5|TtNedwlI^zr$B2TZ>xTfOKwM7MU|aAO$E82(kWo_B;UPeNEQ70mt(g%
zqAxm|#jlviwSVt+s#jM(q&0D`m*?i<z198krt$nx+yE?wk7U#*!l|TIMYM+!OuJP1
z1n1GygN1nVkew+m!Ds9DeHa9LeK>0xwp}meZ7BI(ZElXR+mHN{Gml~?u)&{Bob<`O
zVamztHx`_eA3~GBit!G_BMGTEww1!;Px^N(-oCJv=9b(YfGj9@U-?T7u(7ZR4#1XG
z+u?e1CQV-@sGdrHw(1)8C4BuEO%O&DH@9WZmT3P<+*+q|ygO=MeH^eS)4S>~F7_5%
zZLf4<&GyDOt3tpaPA~|vW23@gPnh)mKK?-y2@t-YnxjZuRnh|gzVH6*1Nxw3+fXno
z*rqqWxRW0#u#lR|`k?r7#rc)P^N`UE4i0a955mmavJ>9K-m#)s90W*?+FyrUma9tK
zI}rPO2w=g1y7{N*oa6&q2Aj80ySg`1Zxf^Ie2qvO=8&PjSkIuHm)G|PPse>teV(Lx
zcj-5pHQn|goK8&hO;Z8}HnX&Ki>4J14{K(HdE!iDLcy)>XI(>l&c?`$M$plP|CFby
zHQyPVI}X?Pc85LHXi{6z$R0Xj9Zta6xufxaX!;7MsK4iJLO@DI>6Ti$J1t`A?v(EC
zM(JL<rMtUJx}>E$C6o@4_wxO{e-7u!;mGdi-aGTmGtbQ4smg0VqFQl4>@F1U1^nw2
z2Bu<!C>NEAC&jvUymW$_K_X_>NT<Om|C`VX85!2NWVBj2Z8?_>YRKACAqD2B@Ua(f
z^Ct_QrW7u&vVg6Db;R;YwEy((%=9bf@+8h^ua*1u2rBjj@b2O5WjAInC3lM)Z6W?~
zEr)#WF1_D{N8q4q^91;oycg*I0bz2twduwpN>v^_@Z2Ou**BHvBnJugeO<+lTcauJ
z663*RYa{*E-n#wZ!d}7}`<vHgbU3bBL;>k*^C6XUVXa$U6}^X<R0S7XDf89#_r<y<
zuT$t(0VC_z^pAt5c%P)4=OSit(I~3164#Y-!>RF+{86YzYpH$oKmW!G664lSw?(*=
zS8uw4_0fIKCQw}_G4-qUd|fA9mtQns-_f&c9ZCB1_L{7mZCC?dv40vcQi90w7^UZ|
z>>FuG&TE^>IeQn^f3m6Crldd!6{p)+elL3C;gPw}l(q`>c02LR+OPId2{+!TS>JbG
z8zPIVx)DB^_;;y~lq>^hqTq^qY;-$&-_(|_QQd|vaP>HoRi3c+ooDixuxT)}7?{4&
zgc;d^Yk7j~CBNV7>7!?;k&)BDl!n6qLioM8Txb9EI|`+52tH{Umwn>3u=<6Z21=~W
z&41Viz6X^8Up72}PoJ?rO@bP{s153lO{?}Iwu4`M^L~y=66<3AXU4xR><hm1PS(IR
zlE-`2^pBp?S)OU&Cis%^M5Y%XDapDP1@Osa=V$RZ{}Qk|G^S6mr3*K<1s1sDA!<#p
zQol~|S_K@<<ylunU=NG7<wt8=H+V$_5u!xS*dm7dZ_mHnGA?XrHQSWA+$la~nZ(0S
zue&7jbpx?a$8p*@z4KdHG9BFaUSZV<IoYGCw$P*f9q_tXu_f$wTFJqwC*2N?_Va%e
zpYL7Ftp`|$XA5C{Ry8bYT6ovh+1JZU5jVbsQ297C?f)D*)pPzXSekLW#sC@?^{L3J
zvN_b$@ny|H)IuiG6R4(G%tzk37ahc@-v@10bVz@lJ%7WC!&+GO+L`7f<FAl}<7(G~
zbOnG0W?SNEs9!rU<4rJG(r~s$oBy0~1(>9R+ku9Cd_0BH8ZX@lC5&FXd-7ZJcHUG8
zDYWLgj@;@5pW|`k%FaQA)#Tou{$uz;IbUrY&TRh#Y7JH`)IGJ$EQlZbbQoF>`J7$a
z<`VUiokmP&<3f`nd52rGCXZME)5^;}ma@D0hiHceE@(Bqq*7-q?bw|Y<X6QsAOkd@
zPbMk-UYO-PM4Bc#Jao5hGxzF2tbUH$@Ch98n3pSAY_WUsUvl{dACWxh?*6xI&M%ax
zXR)0~bMH46&qm!*6B`Ch{s!(&vLb_kKRiJox0|wz`;sy=L?WMX*@ce#5m6r(+oPpY
zYeqs&DPy3UexN4GOhb#-lltRQq9<55%uQ{bq=^HS5hdiA4&et5TZ8qhPcaOMT+=Cx
zEH+EET@QFQxnu_CW@)AyPv|N;(;v;f^&8HP@M(yh&X2*rCOT%M;dWgHmw&&1f6=Q&
zK*%@U`U!+xjk31_9&h?@UvF8n67>i(>!em3)JH{$51s-B&R^Zje|p6nIk^3&qU+aM
zd+Hy1BI`dtB1pQiUht+jev9Qgza~oA@bkuTzn7|^%*DWT^-KZB`Dr^@M`+o9;hsFP
z56)-a&Onb+Cz8W-ZqCReJb0Kz0yD95b1}N_#Wf+Y5qMSGKWv=*7+0#2T#4kMfn7-i
z5oL-b@}G3Xw@PJSjfwSr`lszjK1FNmPgn9v4n+|RSHO}sKsxYG7z20%!6mGI=C5Wr
z#)41yj}Rn!GmbLg8R%DMb9I__-(v{LCsVX^=;emU&OkFRsSYIz19aM|?zzE>hJ*|t
z+n`U+T_7>?V7oGzMcTdBql8x*xhIzFGTpajA?mX{5@?sAWan%98>y$`^)2op!0(sc
z*%2~wVk2uOwPHt0es^kkl~;<XBj8AP2He&H1V<PopqG<^0>^Tiq}Kk})t}j~YHeq;
zk4{lxC0AIX!cd(<#9v7ek+Th!y@4)-3E*)RAK#Mv)j#B_?51Da3z+G`5M5oVn2-CG
zktZTyYVB_M!|qD!BtKJ;@8AwU3RA$($KfZ?<2vxw3XH2Tq#f9<*&f2Zd(;1q&3*55
zC<;v497Mq<)-Cy530CN4bN-X@?8FscZ<+cvEw<~3SjI4_q}X4^EEN%OzGTMwW!+Dv
zz<!J@{`#52HQwBB_<=6I^Ej}zrdIbOhC8m9;q1n_Zs+4mZBmpDn{9Nz?^dRAUX^2V
zv<dYZd<tNOxX#wvtDu*9z7C8XzxP#lHE1R<{FidHKLIirqJ{Ef(mrria%{>`>ISYu
zb0;EywjF7$k9}BB)!m~^L*Maa4c25sMpws64?+-n3nscUpb@vYcCY;=*tCBneU{}v
zvadRvp2zJzjl$EwP^&U`^KT6O6qO~;M3`P17Cn=>G3XVQ-C7)V`9Q~AVYRVcarZ^W
zQQL3Fd;OlQhEmVi?B+v*mBKX16DE1gFO!;9o;SYZd8gB5?CmQV-YSg+f_7>WZCZe3
zh3VGdLT1p@rS(ZGn$f=3Jl)K}J+w2<;fi&ADr$VB@bd-+mU&I)gK25)qm&L5ZFF#i
zl9X;~zb@Z9F@h-g?+PDWvb~wlkfyPqA=hTp84f{FkLJ<?wBMIffc<;di_5N8U^9xV
zZ7gHjvsu0z2loV6fZ;R(J1{H}DgNPtM1HS$%M-N!Xh^|Km$kufUnE1-9zZ~vb!&6v
zzUN3|G|nt%GOE3FbxRT7c9Ze-zXsma#T@vdnjKg9_>bFcuovTTi2Y8D3A5hfCp{Vu
z{m#|EuEOVnx2G79+6BVxz&hER%ibPzmi|Pna;qj#(+V=Lt`k!I=PDH4&eGO9A_)G2
zC~!=y=e`AQZI^%*-YatUDK85tZ1{bYbJVe)4z^s~HwF{zxE_#JS6I?D|8_84!gIl8
zVIULc`p9NXclE0<rSq}acLgRK^qo=HES;KesaKlv0Wy-;fMMec`57s1Mr3DWyVboY
zF@z0rl$7(=#-2xGR?BmH8ejx$3c}ov)jFJ`e0g>G<F>#^!e)U`+(yw6DW%HK>*IN@
z=AWXXQJ4rv5BkI{CRlI1q6~Z-Nmw){N1M@MC}o<~6MaJu5#6z_b}Pvh9Z#5agBhtE
zRIL>Trd(Km6UugMJ($xb)9?QD_>L@!qre#-kiNkm`$SdC^2^#nBE^}lag4ZU2`q|u
z-JN^UZQ!g0+jwsU%5T1DOrsV=z?<*{HGkH4W9l@3dMjn?4A<-F#(j;5+&FR0ngiTU
zximZWR{dW|)503Av5(ZYU1bcNlcJiCfp78g!hztjQ+bj*Ah<A$$g%+kOZ#)+_M_0i
zm)B@~vJckxm-U_1KhD+jJfv;?8>@cK55Wn~zr|AUZ74RuxM=u<ufD3ds)oEyCH*gJ
zFbcyX;R*0cemEOCtDhi!hO_=dUfMz^_=2kzNjq3+FTNcm@g;i|*Rc*5gu`b5vfOH~
zpg;YIAi7<c=7_t+5?3m7va+!+!f0N3q&#`n*afbex7;P058Dsy%PoAa^$h0sof~ED
zsLV%F3V5{b#|rB<$ib)bBgnv`_~<8gMKBlxdIFj)cOjE>8P~gcJ#~E_`^Knz)=+?x
zfUEh}fq~jxd58YFgIa!!QQG@nA2f-rwG3`VX*2hV$&pY=UPY+fh~Mm`;d*xc$&+Fb
zXCxJ5Av7+8=bD)#D--?I@vcK)jd`1xFZAHAROGdlnKV|BCEJYFFHVrP2e2FU#``xo
z+Md94V4TpU(+-lX>u2_30A$R>IIe}-S|4NjCCrbsc>EzO*X+@Q)ycaEm3;L#@(jWr
zkZo7q&dS&Xoy#|_a7?CK+diZH)w*)MfU`>&x0o~`844>dYfoy(#my-d(O$kKlNuH$
z<1<mNtpl4b?Xr!`%7SD^(z}R+x+0yyjEviu)Y#2xi(ER@q8w=cFTM(bN0y(<KYsy(
z2SlJr-+<Dm@nS;%h3ttqhK;}oNR&Ywwl6cNBtRt0W>s;rPrHLt&7nS4IQ*FJ%#8a-
z`@~sy7a)dVmAw&L|FY_`ptCGuagj}dY~eyN>!khxugB{zl%+xulnyfmm0bd?b8r_3
z-#-X{@Tq4neg?8c5L4fzHN6TkOur`}^e+A{kIxIhupxWK4R@o{yC7tLxl%3<<{ny~
z_@Gy`hmYl2|3?UO0U^W>_N;mazgy6I!7bh<%eBSZ|6@({>e^;>Y&9Q?&tqC`{c=zC
zbK6_Lf^(Hbx1R$+)CXtR)PD6@)B-tJWME|+D_wJ({r`;rv+x~CtvrN!$OotVp1v_!
zzWcXNF?dkn`PbE#7w-+^mk%7@Xey6Uo@-I;ShF#&A5I#BmGcpTcX3u%@k)*=7W$Zv
zdQZZ9D92V>U3ZfT-vA?VkM<Y`{x+%)zZQ&dI|g!c3r>XuUS}7?j!+!;3X0Za?f>4z
zz>1iU$V~{F`McVL+^gRQ?8^+o13!}JEJb&A*EV$sV{<vYk#sF3kydFgV~Qn&2dWx)
zhW_rhoUNSdn>i)>lN=U<>2d7S7%wW}x!)TcJ`$`D$|y4d$TzMX#?|h%GSm;2?EzKT
zu>vg$Uaz*M<|az9S`#5p8w1N{omzqiY=~B?b6e)*v6RUL2)4t1I!J*&G?AM6<)8Wb
z?Mz$)@^=_mwQPV6y3#@mB1Fo2WS3{G5!m1||1brzxrbGYsjN_}N`{7M*7j#U4`OnN
z;A;Eu9g0)rT{x=4zl^6LBpXQVBmu&~NKE+}QbFnWs$kv3Ll@X!M%^G>IowbP+5F^>
z=r9v~V>O||Q5)JdPaOZke?ef{vTgx52I*H`htb^^2%KNN8OQenY8QE5q;vD=HVpiu
zOB*n8#|5GJiU*W|Omet-HH7SErRXJmJ?oAhsy<q^7&a98e|ll)f!6k?Lh<9FvU0eC
zayXEj$4{W~l`wDk+m?F*VyGMb(=_IS#UJVniLSUja%n^ZDINW~?4j(K?{^EN&?{zR
zm#z)|JFO;v5@vUfem5Nx1+DnHMGe*Xsx>BCg9FOFjxi9Of;of=4`ua5|6~hSm5j6%
z@XuY*jGSnuD6t6+&bk^2VgfynLTO-k4NOb`Ky4n5BJ_d^vI#(T$NL!zM4)CI<Z%=T
z{)M`MYz)~yc)WpNSNUe>J)?QF%<?w3cCJF3VsSxn*DozyuVmHQ-zC!v_`5wF$_s(;
z;dU!ztWDmT|GAM78b(wZoF^tWuBukO?+8ut2WR*soO`?%4fbO?Z!6D$UAm<;av_{D
z*ktlUbbZ>HaHw889au-<@_27&{1?CF3ktg|(|6#62jZD7$Y=BF-*y3E;;pZ_eFAg(
z-<N23U``)}B2ihlou_@N$Qx?hsUC}ZeFK^g?24NEZZGaLJ;R?OiAi1hIWsxxkId&&
z2{S^Ck_~yeZFrUL1piB&w#mU_EH~kXipU1`E0pUcMG>`YcttsRb@LkY*aW-Q2Q_Wu
zo+fwZ4cc^K@V-Iw-b*y2K26=g?>$)AL9a+@G~)(B6$&>d_)H>Z;KZ(y$pAV-8MH6#
znKo`+{9Kyr5Z~z)z}0T)Uk(Id+Uf%#NG3F3K+q(Ff8A$C_OX}fe?kDnOkW)C2qip?
zLBKGTS<^7p5Z)uTA1}Q6*;^hARoj}7L8sxgPB?A9z;diHhl<xy{GV@@6;Y4rxvljM
z0O3HCvGnJ`xg@)VD*gf0G@$yM6|>+RJ*Ydr1d5ht%9Dl3zFRN;1vH+akgUwzK`dSJ
zS+m(A<bZ#FQY+Z@*qR>bZQq23jFNv@8b@G8e%|zAgukvzv;O%#$=%ZMc;wk_=MNdh
zVk*LJh5_n*$0j?4uyLa%uj^x@U|ZvnMDqvNCqV;33kr;GruL31YKVs=Drp~lf>kn%
z(f0^E1rQB2p>m&$hBdy}OL7<|I)8%LG(lC=mvJeNSP}&0s_eHvKiN3KC*1$*1&B{;
z_y96}&aYgT-x6<#K`4RZ)+I*&X5;xIe_p83$hEKWG`^jWd(M?32Ei;G#awQmRd>Wg
zlY&!j^t;8|7~jtSY~XA5q?Df$9KfW&l%fIuZS`9nApIKWR*;-$e+Xy5I+fA#Z)7{1
zmxv)W!T?#uc-Z(^F|`XN^l`pl9N<Za1oe{OV$cRATyhV#Pq8&JZ?1rD!%cO&KNw_m
z#U2+TA;U20;4NqG=q`>iui&3YIA&YSpciLG>JOPMQKavw!*QGSZ44q%pTpV$8g30m
zhY+6EOLoq=Lu1aT1q5jSTX~27O+ZK7@Y9|Z$NQXdy;Z3n`WexHrLB4aR{T4>AW2^X
zBQS7ek89pNLn1295TkIMsguBFb!fJiBopa10Z$~7Zlq?Vv(Ok2GspvNH)Xe9Tb%@B
zM2=qnC%h2%6ikZhSHOdiJS;2IkpfK|D*-v8ZMKQVC`U7oN1DW^JY?&IP5qnN&E1-)
zyBY#)#YliaCWVr}ute={rNH6%iTxg?`Xzy^v6e-{IqBAhKJpTuSZBxhNk!y)p7uz-
zwfDul94qJj{MI}646mq-h?6s<`JX*1hK}u0R1}I|NG0{)FW|rb@&e_T=-&v%$c3Zk
zU8lI{m%9!@V$A29F{5tNitB(_yQzcW^%NxMjzgOl-$P!RegApN%ITH;zaTwYFzHye
zOX2rz!T>5h`s>rCe}h}dNr7VZ+pjDl$f_Slz}%8RF8x)7Wz9K-%KA`?PgLtQHMK`H
z#m4de0&%O<uoN3jw6@R?FbmZjcqBI?G~xPBX>V#JD{t!Mf4e20%xrO7-Zz#{!WPhB
zp7xU(XE%NU)A+PgC@Fi=63|`>MGo#LZ45^L9<H<Wc(Kzt81T&0L#bm4t>-7JhsLBS
z3k5sU9c-HdXK{JEUmuw9SY#&`UooDX85|W3MVTc)!Je@QrIYs5V36aURabF2<f%zu
zqTlMsX4J0H<}EduH1$0tp!HpZ#ODp0bFipn<c?W<!}YS0XEydE6qYp@Q5bG%k|rhQ
zbiW&BP@?}*6+?aIH+nk6On6RQ3(s7T#a9ate1TJv0#){z<*MGYU~#F>X3r;+vJ)qg
z<IpKS&-8YapHEqhimloGLKhv}<TokTl5uc&IGfJGvh;d+bHA~;qsPveV@H+2!5mx7
zaDGi01p?s(&4D$Yz&C<bF&CqFe-h0xkiZ!6@8sAbEW)K8B92bFr^4X_H;Dq{FG#iD
zyWB{!0AWX&%W_T8>*pG7uL2}5b#@+?dRpEkjx(t>_*Z}3s|0BV@9%?ktY9c>n*M?h
zdQ<W*)W3JNWlJS*SHUW#H$c%KqP@Av9mxMb)^!N*Fz?i7RfN%oBC6~ecL0lzrRS>i
zMzw>-#%0e~D@!Y`AB8L3gFL^LqHdUW=e`zxNjZd(2L|wvAu{m);>&LvAi9!-byPYW
z57ap|0+d&F%y@}l;0KCTGSyuGA34SX=AJY4AsI57FE5j<(t!3+v1SoE;lq(nBc|dK
zktOI&WgwED-n|+78hel@N08zY&aMCi#CV=$y%BU4uQdO1^OuGIKxP^uDNVnuJYRRj
zfH-p#AK<Vf608FW%qt(suqm~BgFz5bbVV7k)jg@D*>-KS9|}0cJt@9VJ(x221^@{y
z6A4BjilqDJlWR*9Q1@iD1@UWNcb?vB3oY)L0}zbWbXrL!3$_LpTl@J_fW;RUl=)Xz
z)irG@Ukn?5iM0VbxtMfs*oCxjUcr#nz{1fLrg2#Z`Or7^yvaA$ut*xkdn&|~|MlA^
zL6%lljqPH6ku2((;b}zo(3#agF@3Ce-h<-4G>7)&#ZI75_`hvI_=i<>_>+;sffvyb
z6JHl8kO1q!ntyeiv%f3#7L~B4W3z%8p`&v*we>@=XU1SC=sXjg)h1hqQPWZQPtoS6
zTK)3`RN+6LlNiHao<qIT=^LBg?YAeHJ=p$@VK>)y^WBQ!D8Wda$0G#_5}n)YcC-+9
zC$6B-KreAO|CyX`6B}(vk<YyH&&#KO-Y-KIYDBqsQ`qkYs57NzZkvsusW;zAD)56U
zIXKT8SRBD&D2rIKj?=z^PtHJ_&V25X4lNP&9vmoHxZG(CS`b{^1(k-_Fc+|$hBk~g
z78fU@xRvMCpgg9e={49EADkw<Z%$im4n}&3h9K)OYb<lJ;k@!v7nXI|erOp1LC_(+
zCRanB<Xx93ue0p();mRO+&VGy@TBpH&7+aEd{s;e3Y0%qHgNlJW>H9HB`@8GCE5~0
zgLxfw7n+lHWH4TI0_90@M42}(4C{hu?vjfgLc+ZEpz1SufrK37e6Iwuc6E%%dIYWT
zG{{7h65fyEEaJ2er9qz-Qc-sWgBpMwFAs#a0mAjjzH-sy7O#W=P^~T7XH3I19JMwQ
zM+RVAFKK$KsGvPiW#R+NC#eq22pV~wOvc8!d<-h)Sg{tLF}bf5$l-tBzGUw#9^aBy
zEC=Cpx|Il&m^{%Jj?w?aa|7hyiD#;CAggMDZBVwoGl3Z&vw_79yL!XAC(+x6DeIv~
zy2ZT6>I)hZhnYsV6s+M@yATYU)|vnEyIG*J3RRJIou>9&ypt(Odc(@2Gq4=0q55`k
zZLFo-VxN%$L4P@PvNeTPY(SgNbiIzxzC|&AtLUX+XV;SeY6!Ik4Z!rOu1d*(@`OBF
z-mE~5IG@Le@(S@Mu`mObIR{pv#!L7{93Huh>35t(Ds4O8Gge6;uNgCvn5YjrCZ5m_
z$H4Ahu!`v0kJFAq4Gxp-z6gIVAyhC_E<fUVzfUAkEOd8ai`fX3%5_ehUB)A+X4bSs
z<e%Lr{q-J0A`RPDse!&-{4UKVbe&hgkG1PaIXSZc5G*POCxoZ!kkNvfo#UI2OB3gS
zD}?MtcnfW1MYNA${jCT(9qw+90tQS6!}7IPLmT0Fg8dO~MIz<(gfP4-fikU`!I~)b
z1*AZosJMI6prFTOCasH8^-rIkSq_RfAfm(PyeBhtD&_hjT`?B~C$%_?`?BV?^RvF?
z;#2S-eJY?HjldHd?vI$+bMdwLO#s<BOudMcvLM`hSD1;B1tJ;9R*V+KR<>WZmm^Ad
zNTbR9wQ9FlaOUEh*g2@IMkJAVGqFBf$L9sT7C#D=gi^d1_=zOMrIe(#p0{M->%G?n
z1<8fI<#*<D(nW2Nk%Mn%K^gBzN+!KfBN1!cv1~ObQ`2GDX^usOdivEi^+@Un-Ypz2
zDBp7+2d|BFS!-5+E&!9vqXtL+rSLSs2*^p!$##(_1}4~mbvk?|tl`3A<Ge$*RSFG}
zt_2#P!I5Qn8t6~aEr_L`esyKv-P0c$xKrL7(onGU;*mb~qmsW`iR=$spePRk+3PD}
zzHbkF#H|uS_9MA~N3$3hLO&Q$ZC{3$?g@|gt*|&MkSTQsqEsq;<RIqy`E&3NqEWCM
zh<PD{oJ;r1G^}It_#rd+vym!%+%lK&PxyZ7LGm$o-ZMeGBn^x!tbY={95m3+ul4fl
z(2wwjqW+PnMKhn%rh+%R04ItBaV2{d+!NSyaM;Q)ZDhkQEvIxKIQr5ATtz~94UA&2
z?q^LOyrYu6qkXGQ+3=r~75v@2@w-rxIUB>R-vofMSb&jx%JtvY>~`CpB{4$D+y<O5
zD<0?;V&&{F&633bJY|rwE|x;~quyOse(Hk*?&!k>ccIc>rgynty-d<XcB$t1Z9kUx
zIyUuM{ye|S%g^Y$oTuP6fO8Y6MMEc^gcg}QyU{%YLd#3`IAt;%w|pAT0R-)ayikso
zt*;OHzH`X<J@uXB0yPPdWY$+tYTn>BD5$;otJhtFfyN`qa%9OUf*dA|p7qP_B!H@8
zDiX=D`R-4cgmo?Qkyf}CIIvVcN=Sbf!Aj`adrPLDe@*N6Q;E@akR--fkv+61+MJ9z
zK&jgpkMPESe&fjdD`;#WXyQ09kOqMC#t~$WnPc8qM;ag}wCnD{#x&4D4B>h0>?51D
z#9G~Z_FjesCpI;KL>Pq^m7MT`4N~shvGe^Fqz$WL0Ue)H#xq5=&T&~dpw0j?ETYz&
zpFl}UjeB}YF*v0uO%tUpp(|4ypYTDc;vqSa4+ksu&;h*XmC!ZPIs)8)|2Z!A6gIjW
zv9w7`=I(PK#`MXMMJ;r5^)i8)FIEcS_)>T@Zlkz@DOCz%b<D_u&`x;8LL(bz%VMdZ
zq7LxqR24khvJ=6ooRp{DgSr&tGH;$%SCJ1c+m~fagcqz&YQrQ!6VvGG-XkFxK57?X
zaQs(nag#p+Y78O?Vr1;p#gyt*%7o)ea$*8r?4m+)MinwSvEBZHZ?|pi8*T=IoX+w(
zv#jnjI#9F-_KbWEnhQBV+#X21g@Q(xPo@r?2OM<kF0hVAaTlYas@EkTw?S&TGGs%@
zzNd{^<_dE3h#R$-$zfLH1IqDn!1nhG#SsF*+EecToR6YcAp9j><MBMMywOzp%!2$}
z^nAnCPXR$pDwX$0Oet(YtKVaib~u>2@XyWQ_m=~Cnn;cPwpH{dh`Yqgppt#G`oN^m
zg}un04yM>8g|#aBgTgxyNNG%D3C=Zx#B@*0X#wS^vcJKI;Co5F?W*x3XR?)@3yh!y
zT|wbIugZpCB<;&f%8CbIO9>z(m{m3kVc~a5dAU16=*JGkq~rp3?oXVR@f%p2f{Ud9
z-`;zD9BeU(%uaGqQ^h`=V(sJ5SD=9d;-cQb!ReLi8VYjbcrM;up}z9IV+F5@VLEo_
zP3Mk>==^Q*di^%yDB)P6{$b8%%}&r%$6ZKh;IJBLqZ(}F0kSaJ$XfNWbPgzOJT*&r
z0gvKcAN>BqSjuD6%jJaO#yY0{bmd|$RXEFz@9Pb+EF7UB#Ese2^$`<!s3^p^4Pq}I
zy<(wNv~Tj8>tZU*`@yV4IYg)^Krj<-M8_#GVRQ96ROj+$Me$`m>rWBL?-`N*+6=_7
zv0@2m1w8n-J6|@Cpy9>+x}UD&ENWs<>FLrq-!v9_X5Q1Jw*ds^wg@n6bF{(AzUm6G
zZ_JqF^01v@x(6T74TM7VW{$S>?hUTYAXpdxnCI*KLDa`=$f}$iJnd^Ath{+|$zn*F
zGk*2Y7(oHRtgipY!M}HXhkzCyXrrE9z_uyUgDy%RKH<#k`<~LEQ=ntus@C&*Prbd*
z^(P+qI1fyZ)Am^_F`9S3XBwA>T7g{KI4I)QsABd<)Yz1s+>C?+3so#&UatW(BpjDZ
zQDm~A8?JJ1VYxGggs-pH4QM>SYA7qalRc}SJr(qypznvIM4ktzukBq^kBGOH=Q6cp
zmIZZ&O6&mWd|~(qB*vOrpU<56gPa;uxRj*K8R+AXgN~sQLB*7dNh*g|DQ+PQi9FR!
zLShTE1A^=K7?`$`gCK&ZXwSuf4~6Ix1rmijQGF;om3wpb%Son0i=R;6SuP+nj^0sd
zA-2&S@X+ld!L(KaK;XiVlGD)0HjpUdChURc?zTXB?s8e5gm@74e)|=0Ar&<t@W|7w
z_Kl-`sUo@M2dz(x-9QlV1su=?Fch_lw9C||BP8RT-dI)L#?vOD@=G$1FTXU~D%zdp
zOK;_G#+Z=7SZywDyxy_CF{NEjzZWB$v2#J>D>C^+7zPoJX-V#RXHQMU&t$5f`Y8GB
z@@J;)jzu^)9a7XlZ(1JmQ_0`){vV;6hW&g^6u#-0)VE8myg5dT@ToQ2jGqRh;)7AT
zCr|m)$7*EPHM44CML8uBnQFiJY@;BpSsa$mTVJFvl$M}okpOa#*j$js6plqY0u0Wc
z`tbI9wO45N<WiH3G{YJ|uxg-a##FYFSuzLoeET-N*RL_DQHk|Iu~v1=hL+5K+wY-_
zSza`66C<h(!*Cq&`5k7d$voKs4uw($^LkYqC3ki2Z-e^icnTah(Wv+0>`yfhz_+yO
zrWSdATb;mjM>n`9f$o)(VW5`=p>(IC0i$)q<E;6n!r&-n%>k?*=0qj6rwEUsX98m9
zQ|nAh%*tXE8yT}r=JKq(@Sym2CGQk<cl06Q#WcNRW71;cr%v+R7QbH6a7D%}90oE2
zXF|SvIiP9(VFfW<`AfHTM$A2F)$^`XLcnY$XYtQ?lLs&CFw&QnB&58}TO3KEnxp>{
zgOWm?gFe%;)3|qt?>s3a<l<~PBzNqHd5v8b0xah`!vCi~NCGlBXwQnAI8kD%qeuB(
z?_j<N)ev+=dc0AWsQ{q|kBIQ3pLea79S=aD`dU^&{d?~RBa=U%<akF26_<LvGThFv
zg^>skfqqE#-rFn>h9E~cpmKu_)fsLmy{tI9gl7&XD>+pEI?Fvpoc;^w*@k>$BHcVQ
zmf69BF#psVit+&>_r5BqhD-nCoeSrBi9iAebXq{9p`x?>Iwmxozw9=0#0ViiD1=?h
z|1}&qh7MwI)jbGeoPxbv05n?O61iCVNyLe_5l)_eDnTc?fA<92nf}e}$5VCRL+h$^
zPghj<j<SL<?Z1ArVsel^fDie@)ggTP0@ToS3eve2eD+!-@4z{=AqkDx`Jc9I0G5H)
zV-!RHTBp+<iMO_#@fyVTB?F^>Q(&EfE*$`z;c3k7=TD`QYvpyElxLt&lPfSzuwtJ+
zWt(t3kaUl_5bOM37h|+Fp)Opr?H6<8qL+9!82umUPr}}154LuQs0hP&g1CG~fS%L_
z`ms2^gQ5(LFImh}Vs>?EPp_Dr=sJ_s7@=Lb*gIMPj*RNiIutZYwRq9X5#JClY&6yy
zhx@Dn_L>UPfbCn^;wGZAY9EDEGkGOp(P1R-7kHP)^EFff_1Cc^?LWa$DQ+QyM)I4E
z7fv4yg2on+B8|Vee4<zTVT%^tDcAG_wD*=lQv->ERF+{#O;+Ygx5Gb>M?Kw(Zo@Gm
zxZF}eMYCXX*IJ0zn9}v5@EnUQmV&+7_O}2ZV7gPBcoW%-@2m7a+j0J~X2&Xqg62)o
zx&Y4r2hxy0@5rx+^l=iG>OTmXY;U=;Ot0GKMg%uWyd6TN{q4Foa{h68r<`@PT`3|o
zXT`MVuGQ*;!j2HK_->42$C%s1%3amS-M@HTOQ2W!O;lA>#x}TBHH`#UXVD0pd4SAX
zA`-AQ)Q)@qX*kdnhZIg2I$!J!Q^p$r&2%IEu>`e&PsEWq*6j&I=r-{Ir%4B`PdDjP
zXNfE8|B|ye#-7eAmX5Qj{7tW`A2*<}J2|4}k;^!IlEU*Fe*+^&ZI*5QbC-bW$}?4d
z+WrdqY2NEkT>Gi~j}wZe8v0YV$>*`x_kDDtks28FNN*>*V2^hD2$7&rDihEFg*fxW
z-hA|X);TX&cB}y4uj3<DV3|V|q$gdxYse<>p8^6mD?CoZh>7O^>v(O<|EoOIkrJFL
z0y5I>j~()#w(Wu%m<G6fUot-X9o=YbW-V{8R<cCrcxVqnPHc}j+CR|UjXfv?=E5l<
z_E)>1E_D1XmNrohpx1y=Bg+Ldm@qG$T6#LTo@$He2zQ9U{0lEXG*B5VlN7LH$2Xt{
zMXzDrhU(x^i`&-nf-yNnxv)DHzU*9x95JxL1Mj-f%>0KCWwB3nOf)rU6A^N0#nn#J
zcya?8`1y^tRVv7YO&43ffMq!O<C`F{N)*c%*B&6`=zlaUZ#rot&<hlJYCz4R&uV{5
zG0@uu`k=>;qB!jDj3y}d{tAIo_*3h*%4hxHk@dlQ)+4w>IG_h|Guq^^mE0xGMD-n4
zpE*v53dVWnCb=7VfR9YFXJCNFnC2!CQBHM>b+Z1&V~j}9_nRxD+Ye53i<NUOY|I-a
z`Q<B+((1(*ye$jV{6sSX+UfAFxHes-l2}%Fn>$VI?nOa+ax5C?N2T;H><HSh?$ZI4
zS|VH?^PtEX;w(d6ZyS)G8K6IvZ;~Vm;sB_T0tLnHwuZA->Av2o>1*2q-<MuBx2FgZ
zH3UBHan_82&vFv<7kFY}9a`fcwpn=a&nhYv-FWk^?M_LTn`2EcnNPY#c1B2idxc#{
zeL7N$x#^u%v3_!KkbLg?zAsLNQV+jAZf8WZRef~jFoDZ>9_mK5@5t-w1FQ9TeX}x!
zDu!m*@f(c0KK)}q>-=wEZH<Fth|1gpnwH0hnqRjwh1-ndgHR(c+Nb*(I}#oHca5cj
zyxNM6Yx~i}-L$ha%OQnz>_`tn0KRBL_Vd*cJR_{(_GL{;mK5mJMdp(B#P#)nw4_-a
zjWv6Ul<vd;WpsK9xTD1s#&Mo<y5}`<U5aDrBW<e-H)x+!nNgni&>kTR%hT^F%r6}O
zQK!g!{fymM)BIghrfz;J&%h`r?6!bgrQA?k7Y;?Iez(&20s<Y7QtUEy`tuhpgTr&!
zZ$sCw$LS=Ujvh5{#9I}Q_Q&n*k=WNi@BHxwX(%(4RZ2$2%ce$$Y*U&qS#}nZ>OYT(
z<EP=lIsCv85fl}Ecz=L8t7v#4t0qd&r$as+052{jn~@!O(lumMCk@>r(5b!)u<Ao1
zNAbG2`c|RoSXyQit4sw|lKR_naY3KKYS&}=%?}ANYL(4)T^@5+tHtX$Wg-0emOlbZ
z4C3$?A0~lv#l7(qicZI>Os%&EFLdg!6m;yjdKiOH;PB1*4js3t9?2K@q4W%A=C@1q
z2hHdalmilbV<|bVnc8n3)3(k?Ap?J98RmSHB1P!<r?%j+zm2Go6}qjR8eghCxQ?YL
z<VZ~vecq>%=B+J6aaMHJcpUTdx)LsLGH~EF{9vN6j^yw))~Q4QN+wt;c`~z}#!$u#
z+Y&4-o%2zP6iJ8G!@<K%saPgL3q+?d=$r#=Zp}H8<uM0g%?Z>Vj|T~eo)ZGFhp;dg
zp=<`Vtk|)ia1pr-wr%pl=ka-tR73a&%Wn$ybs%aO#4lbZ%a5mVh{k<E>CDZfy|pzR
zz3b@{!5w7VdEc4HoL<ofkyB!|vtxAXEPH4Ri%WBwU9=>iB7y5q<7%-uE;O!}1vNXB
zcqC<C&HUjn*slIoshWrL`GsnSGmS46?1CcPCDqDr8&v;QITZ~c(88%zJj6$w6G2s`
z(hN7VGzI8p!;zD}AqeM&%N56*j+K68ncf|KOdCs%;lp<G*EY&?Psq2>R?bJ_GPd<$
zsV<4H=P5RuchsylLESn>=;Af|3yoDR(_pal{dVCBah0qFld2W-MZFRb9Q-HP_+7`b
znS`8MXmH2`4>sdwMT#J|Fx9dLxV1Dtgxa%U_;U4H)&7du?W8<{IE1?{f&@g!=Vvr^
z2XP23`l~ZMr&YU_Ef!+~HF#L;fvTu6y<rbg<5>bKWW2SKCt96(jPVyS725ZfI^NR@
z8fY)!(AL6;4wYvXC{ir%Px*^WluxyIKZ^QTh`y_^FGRlVu2qB#qFgKs=+<2S8m{j&
z`HB4Pownna(<K#I?8VT()?JlEi(B&qdWPN4;`-m-lu9~l9{ZJQm)XoFSQ6HPhj_A4
z6#8KVO^-v2cGK>Q#;9|%3ugD#IPjEmPGgY}W0ntawC~hb>y*z#C{xb!l*{*zYazdS
z-V_dP5MjsEf}K9!lby{kR59<*gO4L4Y?ta6EXT1tnc1;4HD!7Sms`78fF#N9n|L7$
zg+X`r`XDkyyarr;U__!p*sf~g#hR0mQ)Pv=r!%)<&(9opgl%+65<RRLl!=nLTgO5S
z;w-fq3*{+ys9Hs{D1%MWh;9s=JRCTGWd_y9!iYxQgP|F)i>t0+0p%6xfByOjDrk`Y
z02Xr);I4$?W6KV!NSx>>z_C>Om0Dk~fq~UE*>YBp54-M!?Mf8C;ZGWch#>Z|!I=50
zKMbf5r~g=i7@p1~SauA*5(|7A_xSysT8IWpcKgp84I3qRfw*fj1X8a1-1#6-zHt+J
zzl)YzWHd)h_=v~l-N50Ag@6x%=F9$Mj=PXgG#v6(TXxDMK6QaYuGds_bn{#@6uYUj
z-jRkwgoKtB%OkUGsM|hv@Mx?sX5B`e{8gs)#G)9emuQigYNYn2Yt5Ecp4%Vh@?|jm
zr*gnA=KiBn3Ril5Mv+DUNo@E$Ph4*)m&fI@-Mvtu7S<8{Yt_=#n1ww87fF|V;<8Uj
zs4-WHrQUVqe6^-ToP8~+{xRFLVks^EH=GeE(rR_pX3$Vghi@X=Jj27opalO`lS2ky
zsdiMhA)@?q4@0O>ZLU;h!}V~j%X&$&kxhckztWT2iw3K{;PhDvw6=xmo0Zo%cxx1v
zsuyc29QhKbnIbxUKFpHHQHk|aZ?vv|^~qm%wYm<cvg~Kdtx^&Q%oxVD(*8z3$`MHY
zF}>7MXKq^g;+Auj#j>NY>D-%3r&UB?5`K^ztu6O+q-t6FhpA4fl7miH$xuDK3{Dx9
z9nl4J%y<1xqOUznJd?PcuMW$db*YV<lm4zYI`0+gjVQVe3Nht$rICQJ!qnNWr)qk&
z#?@IM4WN`hXbDNo^n6_R;m_rRB-PrK($NI_m1WC)i#YAYE*@IjJO72Xq#r@YD0TU@
zr$1EgjmEC2JrRXG`~yDtU#ma)W6kQdk@NdUoqmbJ*#eJab_I0#n-&Vxr(={M3BKIF
zq^id;D*wM;0Is1$+h3W#vc|wek${I1_y<sh;=l%q1KY;WJ>Qj{{F_>H)Q^N6gBbhO
z=W$WDo-Bl<<&YZMNUQH#CQxBJ@xhE&5<nJ0eIcX*6YQ4tghAjcGeLQ**JE*OrS*uI
z6<j|y(rT{r?c&0j=NhqFaUqq89P^aGuB?iv2Dw%&{2=Va?88L8%dh$<UF!Ca{EP(m
zF|a$l70(B<+BYN)@4{(+M`b05U;q$v#=Ox=!scta*+v^nS4{8g^6N38Zttj7ld}={
zmTBftHR}sIV%fg+DgD%k%;kMkWx-k#jld$m?&3Ufc@c%U*dgGsUy@wrLp5+KxAHKw
zSA#|5$M)XeHLs#6UsLvI1a_O3_r;JU9+!{b^a^{dl-?M@MnB+Jq`Sx4<#M&f7b)Ml
zci0FX!cYFqeAI5>->3^gIK64IxD?cIY|Lu}&Lh+;ftRJ2Jw*X*pPlYN!+LR{6t8z>
zaXt;-qBbNV6ILiPQY|-BO~h$BZ&I$ggLw%T@e-}A>sfWHK!vHR(?O(=H@{PiE;M@R
zXPV04W3f#~0}uKJJg*D3Td?EhBE9?7DV4XTBJ^>^XJFsDKF&!~rx`(5vK4L>J5tNq
z>epO<1GDH>u(!R3!j!A>ZmS%R9?`@HH+<hGlhY_w<y+MD&M13`%A5MvDp#73S8FO~
z(59m=s8O8DP%xI!zSzQ$({W?a?(x$3-4rsxgGT0clhr!gisx~KeF!$9{5ld%vUfXb
z`>VsL-SLiImiO^3#?GA)=8EJumMed%ds`k520;u9b{JdKbidQm@GM8>#Ep!Vtze$k
zs2x7Qe6}942`yDy^1S#^q$O0{OW3qT?JdXVS(;jLO1iy4OZ@bld}?KUGEsB%Dj#Fw
z31J&KZy1z$BHt4DS=C57<Dwsj7d^aF7I^s`M<$}E_9VP!m&c(kc!$M0yCKFM*dl5P
z%gI5)6>0m_9EbWBQJ4qSgINDxN$x)a8BLy)Njh+Rp$Mnhs>^lnB>$BgRU}^Q`n8Cq
z^5iO;j?>S_zxKV_M2vA2lv`Y0DBaU+t?N9k8d1H5YBFry!=Dpjm*Fa`lX$9Cmct4w
zp;vK|-bt}k8LYXVPLl;hyWt=P{@RArB>PfDwG0(HLTtx}Vdk!KUR4H>$cG6RRe4#(
zO-&k)mufm&uaBO6^v6qH7qpyhft1X<T$$ZxhP*hP@svNTK`%Ak-WSzqXUuAZy6ScY
z+wc38<#aLRGaq|d@7^1=O-QyFt<zJQ+o*(&7p0XI=VQCT6ALhyFP(&B+8$4hSM=^C
zheBJ_`fo|W6Q@5tu|On`a>?MMJ2WdndCu3>Jod@EXHhvMgM1kM(hbY&Dp@KrP(B~>
zzEWE9Pi~<Q$M02h$=F`bmmlc0(BRq*;^oJ7gD1w8aa(L?m0NNV$6mx!*?c~`3V$WF
zNN=8Iq)B}oqaq<3Xap-qL)Iji#~UmP)meYoKTHV|AWJxsghDX1cN`;R%jjp#o#Qz9
zBn<Gn@M{!3)ubnaTaeQRRbiS&7g=HBW~$S{!6a?3_$o!Q-NaABxC)1==b^iVnD}qj
z*u>CRW`027vmC#YzzyQ9On%k87OOY3RnBgYeQSZ<@UefH+VD}zRp;@n2}MI6pg6wr
zR4rJOikt5tqqeE5cIY-+^p7gFDHj6kq*+x0>x4Q{?%S61LEM$gYav5iUe-U-Z3wno
zu2Ra{iY%6uiFKc*v??|juLLyZl?sq-QY4$&-n<Js{w1~FC*R0@d_-d9^Tit046VMg
zwz#u0<=*T~Hp4<%HLTqX;vaf^tI_(QKizx(kS~E+lhcy@BLp6aaYLj2B+_D}Lf3jt
z$f)|-eyCZ6?GzGW>1*}$yjYg`53yfeTnFkac`6>fQIDgkW@eL=kA9+eJ}eqtqzYQY
zs?&^)OWFU)EWYv7>AbOWV%$VQ`}v*rcg0_WVvjZ{s{6N4Oc)JG%TNRqo~bA$54`yq
z#|pQfJ#HxE(!sM*7wsB@d&^B*OeBu2(ac61{hV++<H<%+qE|_kDI6-wR+-F0jVAb=
z-VET66*EpAfb%NnWF3@+!!B`~viNl(+&(v%+wc&K=}ZL`g0;(K+RV4l3-#N@P>TEG
zbrto!Rs~1n@fmvgDef?odY0&X=8a4d<ggf$D9>mwoi&oF$f0bTc=QX_Fqq0?bfn5R
z&b@LuBrE*eAA$L|Zf%1q)VA0tQOYA4S$lk;a?qBuu|^r9mSo;fMHmWKGjX2B)OvTJ
zsCBKsbs;&03w>mQxF?<5jS_7UlSavac=6%{a45;cM+ttl{!EqwVhx;^4d(7Y3gb#f
zoE)4}B*XE;;FI@3SOn`R1+G^D;omnC)1q2o%Jp=*cCL(abaM|zVDYoZlJhtWqnagw
zmN29$t5IbmBKou$9t?cOPEe5$GteMPbY3*F3O3@WI*y-}bzdwV8kg;d7lUU=M>rj@
zWl*E~hv#tAYJBWTmBIhhM0lXc#zOwQM3S?Vf|jh^8GgG+XT`pKX0Dtm!~5fy_3z|7
zPn;@|X_EQIXh%2vW?Y#Ygi5ZKT^coL23@JB!x4o>22=5_M0Be1(frZD`zO><i3?}f
z^n;7ZDofD37QN8)tZX<wAhOuJHl@B-8oG9T*k4RK*mvedYlEv9*DMxDo$;5@zQ2bR
zZ;;(7j(}4-`sw9#ExG9ad!R(8-)XQ&XU;N7LA~E{nwiK%{rPsvU#8#OtMbKujvd5%
z2pT%H=CLmb<QlWq_KIvkHlh~4e{;|$-Ge}0`TezOrR&w<Y!vD7Vbsfp(1cMkqjr?|
zi^^&5`3~V#w#^Vt&RDcIvUZ^&^;0_bU1ew?lwW6x09F#@X=dMLw!8h!q5!)X><~y<
zQ_A__XlY}c3ZEiUTdiDc3rahh7>rxWLw-)M45XB^7l9r27;L5>X^fc`lsgQgd2w}f
zd<wt(My5m{RauX*7$d!9i7BPZ=p#GYP=POTU_7e<fv<WfU28H95g&yJc#?-zW$FOa
zyn#&t@nR|7J<@}>abJ8$)Uamkr^5hKOwMe9L+i=RYyxgR`zyoyFcR~RO3xt|!F`qB
zgC^?Z>8#W7zdw<$gUuAOaop7Yv3`3<rS|<?k>}1nE;uBh!44TYe3sv#MI37wQIK$}
z!dEN-$YDvUb{-wI&tWrM|M!m7uiUOzPf$RzPeh?dD7tgNMsTm?ewT4Yot0ih(f|Nq
z&@!_=?7Prqzu;v*>@eK(FdTvt>V9A>7we|z%_bN7$)U^xQL6ZlzX0;zqj;6Vh=cgH
z74~sb_f=A;=g#>R!@*MF?{Vh(GRX*yXYV9!aNLM&%VR|BYrIzJYEoGY@rF|yq5L*Y
z!HLhj913xZO(d%=3UNyX2O}2Y(30vE@BNb-jt*z%bi5D4U-IcDKn@6oglT>WR^*-M
zooF=&jwlVNgr8M+Ej4+-5K<wz?l2Cyx$y)}aWTjE;gK)8TpaiVvGkJRob98P1aV=U
zhKjND!++DgkYd2#;gvV@b1UA94Uilmp)b0qalo%G^2%=GBD}TFgt7sBBx+Qz4FQgb
z+AA4GEqK|dD7wCyT-c$m*lsV^J_$NDEIv26u^Yx|T}w7dvFm_P?_B7!L^^aaSfs}N
zU}$yNxOFkSNUE{Kz$e6hn8>ygmS*EViFi2YAL^0#8rI+1wRH0)%PXUT*fYRrcQ9Gm
zP$3m^@CiCC)>2wb?W2-_SM1>sYa&ZG7f+sKkC2>PmcakwQ@yvX^3wH%x!!5j-k0m4
zeLjtL+Jz*l`;szl2Hn|V95I5)oOGt&nz;-%<*-num`Sf8Mu`ml*&&!kw1=x0J<FA)
zMW`N*F}w@|rr8};XF>e4PfU34nD?V-W?Ohl=Gwi{PNSprKe$fQTV}!P-bZD|$_N&c
zdDAGHK_uyZBXp4i3bhJ0p?b#dl~A?v`zD^$mP(#X`WG+R42Eww!iE>UVGEE2A=m<C
z=?ctc$Sf&>f5$z;LAp>-uQ2S6-+5r~3Qtop?OT6CSL<1D{-I3MnNvD331ngv=F}Ep
zGP3_nV+@APo2o-dDMR<i(nI6jGz7<7EJcrl2B&mTP6`VSdHRhEeH}~5kB*SV>wy`L
z8Tl8%QW6#k*f8m|ybRb1wc+((s&`F;R8*yu<Q474#SpJI`yb(j&5-mC;XV_wnHl`O
z`)&ix_+y0AO%<PJmD=r}aYkcw?5QlJw=i6ZR3FY(b}@i-O77KqaZ-QjU*2&xf3KwL
zp0O55(1vsGDe$}wx)z`95Gjd5WD|Wud0192Hzh{UPGPARXRn(Cv!y*emY+6t*)b%|
z>q3Vc7?!lR?UH|0okw9WH~F>Dtf#=&6WCNAEE8;|dJlc(1@?6rJDb~Y1xbm;{F&rl
zfZL=5wQ@E0R3tI=I>n^D4Ql-tLsDYYzS>cnHK=lPZVu@)rN0F!vkc?wq9UA)wk7%t
z^PIOigf$Emuc0-%^w;<U!^3eh1=q%}*=0Y}*lYArv(RjX)0yX-4dm2_Vu^Yy9K6fI
zB@F@Ncp{u@$2p1-Dl0D@TK+CY52HTAxeik?lEQWkIP;{2RZ3?{8n-#P7idQn3{EQ(
zs0^C5<k4$rF{Pxy3P>%<;j<>Uzv(GSDn))T&i8q;D@oKOJA^K_T17R^Vz5KbF5>m2
z3>7Ovf21>wWa+v1tPdqAb4@|CBO9NI+X=-r&iT(5!WKui(c>91)9JI6-cG0vC(}c@
zVC8Y6jL_O?5lYh5K{gMmNf(DZ*Qa9%5cb$Ypp{Ua`nUS^$uDXd3dT>GuCDr{U5fgf
zj1+rW3;5-Z<Erm>Qch+P8V}=u2w_<4Qo0F?i?>pobAt&ISQ<w{w(@<o82F$Id5|rs
zVK-C)2#w_yyRP&cnL^!W-=uaR2Q$(tdWS=+7hr_&`s5Sm@l~)r4eIjvi!wpWolBO&
zQ{R!(FH0W9#uM}#P}B+f*o*k)SZaq@8Hp>%-DIJfkpPTQ3de2DJ!3mFb-|Qfv3gD6
zhb=b7jq>Z?boi{rYobwMUcKW32ypn6#Tx~%!%+9baGKeq-`Fx)W~9A*DBIU58KD9q
zDnc%vqf$&T=Bc4@*MmpS6Bw76YE%Rl%+RPjwk$RRx?&npCPOW1=v6Zp%NAAU1-l%<
z?<`}2jTWJ#UGpiL$Ff{19VuyaDVSHwb^B5FHi^TLPiQ)e!w#dU0m~>7NL04voXs4k
ztJY6Q6<&2Odr6kGAocHNNt}93L1zpVuFLN4zafs*p)zN40UoJ8qc8i2Wgb~G1mL7G
zbQPe+4TggRLY}7kk%gv40ulZ&Sj&_MoZnwA%ac%*rTlcp-&cdYEJGgX7dIIMUW7)H
zP-tjbeb^_8g%?Nz-}3T4!Di;?lXfKR7;hdUr8jRxtE~oN5Hl0E^ztG*iO+5LMMXu=
z?jOJ(oVB6O3JEd<bbpIrYdanAXA`5Qrk1379oBb)Kg8L&R+*DS(f65+`gMBZNZsb<
z=UXq~%gf85sP}5Rwo^_P!BduK@#&Rwdk7ZZ%uChMX5jAPGr?$Xi%dIW@os(jKW^H8
z+ys|4^q(R4`+@JA$s!nZ_lQ_->CNdW!Ppju#=5ucoM&O441w1RqaRPh_(;S1+LH8q
z+?7!XY7AG~+~Z(FdAc44`6pHb0l7TjmSku@e*4X4_}|AUqotrM6M?V9c2RBLr(wHM
zmr-C8Q2@BWSd^vxLeW)Ej|^uOBTc~7CS_vJG1K>-dl(%7xGZoKOqChAK3aI=yA{b(
zRAl-ST#b$hE_U=90(UCkgDXd6&_#N|Kq9FEnKWECaCdksY-oF*p>3s=C+fZWtxf)>
zw*qwDNFXNkBri^u{`A+cb6xLCmBk`=a(s-tr%^U@tE;4#fge&jXE1WP!ENn1i;Iiv
z;MF`{67zOxEd06Xe0fAN*2^LEsaF=N#Qv9f@KxtpC&#PjR&h?U4Tjy54D|Gi1v9gn
z1f=nAQeI&o>&0TrBZs-rN|+jdE(8-Z)?zRE0@3j@uV<9x+LJ@~y3zu=*K1+))Uzf6
zi60vEy94N<Bse%YA|7Cg!imRjXe&nxwUrHXtL{Ch5HGLmlNFJ17r{Uqa5KEClx8*f
zgDpL`jX(u1+&{Qk&`0ucFX6QgaG`u8Y&G^+owe=ud@qaIymvH(<B<s)?LnzwtNS<D
zqDR@O&J4HB&=DT1pTEt(F9+F((BS^}wM_@e>i@oC3IPN9-;eJya{!9}@5?<5f#v`I
zxJ~EVfcQ?<Q&Ca8;Y$~rr>3GD__vy^U(mAr(pcbyv{iqyb${|edA;{SlyQLDI6eo{
z(tGJ=#>U2>Zi4@s^2WfgDSiu9PTQvsP#=%GFuw7xcZu8LjZR8Tq^TuAkAe4fA>NC$
zLh+Af>%WljSUztfS%^ZS#O3b)f9$<wRFv)aFFt^XN<9WJw2~^_4JwEXsnQ)ocf-)3
zAPs|*ln97)58X0!cQ*(~cb|*r`~AK8zd8RG=fzp;uv}|UXYOm?*R|ub_r7O;gtrm1
zzLq%u74W|T{cpVJ)h1Zt_)HfWb|9qz=|U98st6JwCRHQ{y4Et^Q*F=+keb;T@<~(V
zuXM%f+Jv5^&|&*Gbpm3XtBLUY?@-`_i?5#co916dX5i8h!Q4imrJ@P4*N$K$JURWu
zU&)}LfF;fY6;NNY1XIoFU?i|=wZRFbIh~V?TQBtBm7U$5wnuoxH+7Wdgga&1+1Csg
zX=x1$YCDQGG#HaF61z430He+Rcvn3vD4174o@Q>9V^;C3qr(}}UJr)Tzwm1C&f@q9
z8=M6LHS6Do5X<S5nSQ9s=nCT?k)9mv@81n$4h&8&0<0`cVH|wY4>G(Xm&nM-dJiwI
zgy@qkL#vzze!NxY;o%vgzw$3X#tmPpeXpzQ?TlLb{kz#tKopQoW-Gwl)CXU}a%-xq
ziMjds;v~}tCPpVmMkjY9X`*`1&(9r7$jz=bs_c!v*VkXaZnGODg{!zYImr>;_2&xX
z*vu>Uwlp=ZL;%Jf4?ZgT@Rh&wrDTtZtWu`M>w9c!v-ab}rZAqmK;hQvfOtSmdhqIG
zZqEB;6|m#zOwZ2Nw`yFBfK}oEQ_fC@&R1v<8ZD_y_eh=1tT4lDA{?hhv)<!ueRML5
zUc1zKrn-jC49tc{F2l~P#Kl{PMkjGfNog6V!n^k3WEt4p{-g!!Y&KkV>0Xz-8|>TM
z+!Ui(r-C);)Vl5+f=Tugqki3rR#sLnQX1x=>LuWMy7+2NHlChW+!k9KS*c!bfpqew
z5g6esdo3nB3@;~ztAacd8(bAu_<Fz1e>dbjt83bBI9p9z8lANHX*2sg;J6(zV0suL
zjbCbq0Ip$|jGWvP9j`0pmR?nLw%vq!!OD6)qIZIo&}^4LR7k-51%LVE!aG_gNlQhA
z*Mb86@*W^~6oC!KASZ!)J84hb^lzHam(~_NzX7a-$Y49dqFr0&h{vM298m+S9U{w9
zmuUBw4Fmop(h*slS_97T^OG{5D;=Rt$Qp3=@~Ba-E)DmDHALaLN4;g>C;h{tBNiU?
zu+%v@J_oOkqN1W~l2#M{VkLzxq3G$nIV?9&BUP4x(8~mPwGFDc?+?E8tzBrj?K$Jy
z3j^}C){V{0n|FgoASO{qasPqY;6=a@9((^$S!<xOY(QlrsA{1P;oVKes>eHXeVL8|
z=6j2+UKU&8NGdNtRN<Yn<;u>9j#rREmLGcqbMKE>;#|{u21CcE-dwJU%_VH<?T1E{
z(bQd@K15kW(ZRceX)XN+mei=kJyhT{KYF4|+ba;kCrbL?ao8k(Yq;yU?FAh|&D&qE
ztgOsMDy<=?qD_~B4*B18(RCcuhMzRtTsb@r`n?v)Awyq<M3KTrg~AW~aj0DNEL8kk
zKQ-AUkl)&^@Xh7H$e!yZ?Rpxr{+2sLc_N%?4zQfahfB~z(|15iJ%4S5awO)JmyEKS
zTUs6hTcU4c>ug3BCy@flegMf5+bhmO{wrCt)VZ45*-i=Ry@1jFe%o&u-esc&Y7Jgj
zvzBfCQR`cPQvT4Sc!_^bo*}wVAiR_nir1?PY&wC%xGEzA#4&PweEig2>$3Rg{H&$9
z#l-`vy1J>;Mf&2LR1tynS20WcB)oil-Yct#HsK~h^&Uf0Q$ls#0#Q<U0>8g<80&2(
zeI5ADa4&qNdl6XSLtuq(>w6SxvmW4xxN_uyuR7ML4hqA>%&e`i;UFF?0Cf$aiE0-|
z$G-z4QQjaFvD^E;`c9J|n_R|=*0RnQX#jd`2QxP}M`rYZA^YABgCqp=%Ef*a7JA2?
zJmU;o;;b1IQTIT0)5mFXvix&TYXLD!4HS{8bW~?_db*ZrievRLTo!R-&kha6FHbH<
z6?zLK$i_+=)cbx|RO@91nmy3J+F=DWyTv`HsNbLD-Jvg`$M;UVqzn2w5M2vFD1>V1
z>dtvf<%CM6tD1kg&l?Gjr1h!`9Y2Z#cngd6asZRSIh`ky=fTgtVEo4<ZAQIC5yJcJ
zDTf)#JH?~dpEFd!t*&p`KN0Q|;;&ModqnynT$b*UtP~H5KbFg<&s>(f3}H`x#(T4y
z@{;**zBQ7VO@{)!BSLx-3}a`N?Q0C7Pz27iAVWdsybH{JHdFu`H~?dawu2LR6(VeZ
zZRM3W$k~7=A&c##6%`+wRNHj}+tH2XKIy**<1i`Itk_0`cNOzY&$-iG0M^B8E8uq|
zVYul7f97BsJg5)EtnhAM48D+vBJH5^Y*g41e_cYj#g9cbDj^S*^!K533WKX1o?xGv
z-E(%qKKW~u7{crj2t-K6_r5iuE5OV(9=8>5TS+ey`$WbZHF{lLRaNz3Y7fjk!}Rs-
zaBT0mcj<N0lz?`3bIai(d%}R(kkR;549U;RHUGtXCyEn2%?KNvjDeGB`;xl~<6!!B
zh+D-;(fuSCFJKz7lQX2~g8TQGKZ&GWg-r^d`FbRZxhfDbxa}^o1J$4hj*xJ4k`vxd
zN+`Swp{^Fl$;il{p^E5ZN7vTW*NY0aGt^&ymZB>Gf0>O2MqUA2UWIw>;_rSSR=otx
z!V9P7us*}kkk!@I#}Q>IOZJxdCnr=d`VKUP>UPb)euKowtV;q~S*meepbzxf(;7lD
zgSh@yYX@iYWuu+Y17<Ea6XLf0aS($(8&nFz5*fuJZ4PjDvYUUCVAQ_#^z=02CiCpp
z*px^gDD^(;(mgg5V!+$FzSyx*%+crm1tQU7I;*G*HD;C8Op>as?Ccj+9%uVFVI26<
za>o3>3^~;&8Z7gzsN?3@_3gA)^UT)ga3o&;HC2OmN932Mf`QxGgXgdLN{-*a_Jwy+
z?82-K!1-a_`ik#8(R{#*`2k;H@Z~PW*OWhteWQ~S>`-BsqD5<<3$wsJwUM89ZSer8
z9%~Rr>>KumuRd?HyB0_0m3MJF{-}F?brGa{xk!Q&Fn$-xMG?1@Ra{*B3+(N!yIGAw
zaiNE^NOq_Liyj1XtX{0QMwmt}Apm_F1}rYKqRx{-oas45*HT2Exeu=b>$5rHyTEw|
zVY1P|fZth(l3IRYv2`s$WB1w(J=1i@LzJ3J8xw8{0<L%DVP(d896<W5fdvW?QHMk@
zdy2IsPzh#u9^M70bVskR-ZRCqYP$twv?7-gvwUc#UvKurZVtrQUMR~Zjr8{yo%SDr
z$>gd`P6CS+AlkcxIk<iffFmgO)bXFjMcVlO)&FuA+)Dkh#zkI+02<o2bK){GHbz)}
z_CetRmY&)u)FG(+xFTgOUl(PmF0P=^X9MPTBY{w6$!mxc>6d(HW(99EOf**8%4yAy
zw6rv#D5*;ab#-+M5cNvHM$tVAVvcdF09u&|XaVPtEBpr^X`(6zcTNf`Mn%VgjLUhY
zz2|TlnGi)Co%(JK_r#1E0NqtfDNTIm)u_ZgRIu7#ENea$`V(}YMYsM^0^V&wJ2ML{
zH3WM^Xu`=rQ3EuH6xqC<C|Wn6DE6WwIzx}0KO3k~EI8LYz)I?+=svQo7t(A08onR1
zMt3!QP&)-^iW~THF$~^-s7x&r%bb09=COl3)PZ+TAdO{SMi0MOH-nwv_%~euH&<N>
zHJ;ThH;*|0*#!$1+T&xkP6iCtfOHgha5&g$buCH<(TVa_<I;Mfr$BTHJbCiJftUZ^
zTmFyjz)-)#tN(cx;Q!bn|2JINpJRdm5^t(Cmi+96@UAGld*l7{!!zd3cOb7`KO4h@
zM5-@qJgqn_rG&5#d}>+HMh4S$IL*AHs~gkU?6Ov>%0;1$nMNlIDOXyk@B&-njOd<1
zUiH$BQ2~as?gVfB(5h*uLt4fJ5{cA_KD21F^BSI<Jb$A?dk3<7$9}8WLHooIMjdyk
z1Iv;Ue471saAv{w^jW4oo2^okB@RT^mUjwcx%x2fQ{#v0G81|=$SYQwvGB$u0f(QJ
z1s8cs{4C*1U(Y=1Pk?ayw*10!gAZUKB7N@lKrWLX(f1(p`R(PjOND?kIxRyrltU5x
zpAA0+YmB2`#yh%vuzV{ZQ&TbKlU=3->Gy*He6Sx7A7KNUD5;Q)3fQ^a^C#!+;gmwn
zNMTrqE&rvtnc4bVq_d_48~ChPDJe4qat3%4jzulDq+u?f-lSOowiqG$30wYYa)Q8{
zF6coVQXb@&t$_TyggG!o7&O0MiH?&H1oqg9jZPB7`T|-OR7)t?!F7Is>qx*%GHkrw
z`5*qCtVK8|4H6FW6()+fJKH8TV?mzojEs)zSmxKsA~Ag%<8Y=Jo;=`zJ%Hr^*H6Ag
zO1)2wtphpJ8<+9Q$<1AZ!in8e_)JUgKp_65qf~PZe-S!=?oHLrHc*7LR(d>v_&h8b
z^%AM8w3<R$S&3UQtP{gH(H@|TVLw=TC(sW(q4`SQfntppwnJqNsKHJmkOY9-<L2eT
z2Mox2{=39Zo}#)v@25!Nt9X@FLg}x;zdj{q(RdPhNB}N$xga$q7=B=QWB>FYezumh
zG#~cYm}pr*BI0PV)kg36YVb{Fc;Q%nc?9e{bBVu!@beoSax5n&C!&-!N<q@mTTLhg
zHIq0E3y?E<z=r7SXx8iX*ejj8Vp%TU{R6&pH<LL!nG14nsc$dMqB8=+I4T0(q>Z8B
z)LbULd5#ooTu9O9X5kzRmibp<9LC@%-JI`mEYpuUslo*F81u`Iivi<>%g>54Hkc}9
zNk=+Z5$WqvhC&5=t(G;C0z^V7WFf7h`k`lj8NW>paD22}xX)s>G%KrA$Z9+QJI8g&
zX0?KpTTS`#4*k_?zb9auEi&DitsBcaxv2x!o-KB#heT@H|FV)P=qV{~FHd`KnzO`z
z6(M9W#TzB%cx;oa^o~)GU0*^Llymd}`EXS~^x#*<QHSBa4IqO<$?SuZWbzc9o0C5O
zK?f+OI{@X)hT!2|!R9REdJB?D+5AleV;IK`6=0Ye9vQ(F>AUdBpoVRfkLrw%j-vE`
zseub9?4Efvd@yI|Y>0BS;HTKm&CPWX>C<G&)*18$hQszVm5KJ^cJbfPQk{>}(1SE!
zueyM+PCx||&sI(@Zr%>&N_*-xXbuuKFYKD&OoZ8K^9c@HPy%>D1k!gg@-44$6*;+{
z2k`Ehb!aT$p%D?b^*j&hCxCa)fkR1@+!NLX%Ebi5lc&`GfC<?jG~H*ZLa{sKbMu~!
zI?a5{WW}xfILMN+=1DJd7Lr|1kg|1fwjJr{n_&Y)yvcfY%?OFyvCp*9)T>hIJn#_u
zrlkpl+d8?pP=I(aQV`rMz3*G9-cCTK$j@041h(MAPdVQ=KHoJMHttKI3~e>IpeJfw
z+S~8#?cEj!1l-wYHt=qqcT#>Q($!kXP>#6=pWo;TI3|MH<I3oyF|5N?SZ54yMgJik
zyygngq>uS2rq<xz&Jey??HyZY`fH6e-ILjt!X%we-J*|**{r7E;xR02J@K8nV|X=&
zQRtbiTjTMbvDTPXY?<swg%2M-%-j|f@YPOaEb<%j^S89gn)qw{69Cz`osG?oC`=3p
zO--I&iScwTly?qkfy+B44Ue}0Oz#R6qqD5*-Qp_wgm*Ag`I{?!A(1DyTj2w?;>N?h
zyNY+l7;v9*tZu)5?s)WG;iIPJg}lX<%@CjN{lJz3u3e4yKF}W+>BJ$e#8NMj8DI}y
zvyGLG&YFf+8Pi>Wvdl%V-bvt_w4;K}0J@R8n7)a0bvON16m3;9AG0%VE50^(p9yNt
zn@UH$nxF?l7F%%<Lfe%iLe78hndniANwbM^43kcPdQ609YN1_`6V^EJ##D?39)MGC
zM@Cl=JYR~29z?Do#1!ZrHIV%ckrNwp>MI#l0Yo+;obBf1K@tUccm4B`o$%su1^T*o
zNGI(RIFc1;Zn+?Ov4HOA@X(_j`dG<))CTfg4W3}rQEtPb1MYvpLsL~%brCTewl0I*
zv8BkW2TRIjOKt`stwY+DgaEseG(W{PAE?m0!sv`aSz)Ydm|<2}0YXL!u!b^>QPX11
zE@M8w92aMrnd*84^M!0lzz5*?=Hs&pHm_IorhwNIBLyB?&xD_FZv${A5#SZ~zI1vK
zLZ_|q;R6R^z7r7Ko5QY_I<6d-&|$?*&L34&jwNpFX`)Ws)plB(W|ruZqv{cB{}jFj
zEVMRK!Fc6fwSe)-7<fYqP%?`VJP;HgJUoQToq!y#;Fg8YS^I?Ys??QLqwM*7_4W&3
z?=)uqOZ?G+lQ*{lK;f)%bG4N}f36m4k0sNu^S0TEj!#Zjn><+%LdWk&x$#mEG;juA
zfoM$L;sLympH^=LVBls3Nf0TFT6JT8CL*(~@q~`PWnq^II6fK}o7A~;wF?>KNs^Z7
z6w)F>n{`d2ZsOVcr^6eQ=hW0i-L5B4jt8~Sa=@5Ja<odPb^=0h{ATq|HgHh_lb)n-
zUV_q&CXDHj;9z;G%4WNy((}0d@&>3mP9mR8xU{*P*qkPET<x#84Z~|hic7{AoF4zg
zjjKn>ZBoO6j_361I@p%~FJOy*0{aH4ze2E@L6cuM(0g~PwZ_VUm*If1$(&nQY>5F*
z&;wsu5g2gj!%&A(x=e2|<It)az@wBla7R~F)g>)M18AsZDK(@W2Oa}dMLlZh40I~$
zQezzL&+Wv+aN{E#J>AY)3O04vOX3J1XS5`fsO3p`>`)chxVh}%WoOXvnS)y1x`P95
zy)Pg+&ZYI-gNSqMF}tR$B`4J1S$>phjB}N_hRDgzHj8ph1iHQR=g%L~ruu*>W7Qi!
z4&&Gi#tR#va4wt1{Z;+rQrO4jk71<m*1Pc945+2?_1Iuw4fnu_wr%}U6Tk<S2<}l=
zHD`eVHVFz$TG<oYx>1L9Kp9Hu>gH~N#45}URA;$B@58t)oN@t$S_oWXdhz1S68Mjg
znb*cnNKwAYaS#IdU^qZ-FOf-4j8|09+<(uXqOam6^7;zhsJ=j`tf5hzRsmx9k;j`s
z>UTvpkak9On|}{Id~GsgiGR&4<>Xg}LS@0!+R25g)m**jPV;BnkmK!{3xISKKye!&
zplI%vgW9-=V;i5K5KK0-gj?*&iL$C{AAmdd@NOrhc^F3sJ<IW#M+Xq*Honh|MYU;C
zTFa*RM>tWe^;;3nqDDnmtF8C%UEDupQ&LfhC4dH+FduWoa*7Q7va+za$kM0U2Iee6
zzy1QID>4e@1xA|>0#yt2V8l^YcQ_HhGo2Td39*sAyl9WtSdaK2Pf9pCE0!lK$RgD1
z9C+t`GI}LM)t_D3UN~#>(Y!DXMO+l4??I}VaVAlp<1OeXQPPA9wm&zkyXdZ*Xrjh9
zs<)Q`%T~R9zUS|?gX9?iS8F$`sblEivR%dKFG1k>D74bMcWuP5IpkqJI2=&vr;a|P
zhrI<A`s#ujHlRMD!%O+)iUEk=&TDLV_pvV%Mcc$*1kTz8zYqn1m_ylKM5`#B)t0Ul
z-J_v^36$lX3tYU0jwpff=%WQS02Jj9g?Dn1*BQeJyKI0Z_8<$S=?Vk~{jUYW4|rfN
zK?S>z1Me|pzxg(XI={z`vdB#Dt7vU)MK!2ye-Qjw41w(Hpe9k+Nfw!y9Tn-8Q*H~k
zmFgc4{<&b?6E2iO8WfK|_P4^q3&3RK{F$F`m6)Lnz|OT7Gw~FISxH8p3>oKrX+h8U
z87eJZC8fjIJ<}fpe};Ttz0`G0;X6<>pbGI+vq<G)aB3c2JLri!tf956*Q=ZfTk4)A
zEj1nZ@yd;1P!l+oa^OE<gHxc@@_Dnm6hMa$<;+9=gWhU`TbiH;lNuC{@l=;Wyq<oH
zs-)&kd--7T$`s&UMQe@C(3=HttXjRB^ge$ysCT}a+ICF@d1X!3hqCfr)yRIezok}T
zMHnN?K$3B@T@j&2BR2m%FZJxzHNZBSf2*x6L8HY#C2XqNX;TzdkzqsN(%qAjpPwxH
zTaec5tsCMh?Q<Q7g3hoADZoeTeiN0FQC;l@Vmrr})7;>N1M_i|{59Kcd3+;{DwXvk
zfeS;~QvhqOYBFAd6d;Qp(P3Ef`lHsMBdmgQ>-y5m`v&^%M$q{K<}2%e9WKlJ^!5rq
zX=J&xJfOvEeNVnM*Wf+>o6RLmZWt0NWS@2m39Z_`S*(F3VJo2X0`#qev|Dq4;19OH
zxOW=Y#%cXT6u4U^U%<FV+w;>S000defo5K58?Ha&pzh7Hqihaw=(9_*z?niH)aKG3
zX;`RM7r0OVqo5Dkk(5XZ&}AF16oQvUFb#&R0hYvM-f;p@*t?-Ln8T(Q={hzM>8qg=
zk;w%}(^<pf;zlyAroesu!{0)s!8w`#M3Cc$pv_1g4Lk^oaC%1tD9ww}ZAH`d9o$Wx
z&_wnf)RGT%c?0Cc0w)oHEPu_bu<9tUGQ*ohVe}o;7d%6ofH;O}v86mZNthXO*!bnc
zd~1C1sOX<+YfmGim5f8}pVigXfX%G%wpDiyAoEDe-=DCLb^uHA-R{g=X>9^EMa6^H
z@NPF4=x7K524Hc2k;=Ndx}k&G&**p-WJ)18at(k1kUCo+DSI;Jlt>RqJbTan1t+G|
z<Y63LG2cEPDF8=8!X!f1nWtX*v#Q{N(qhXJMjmkHzFZEdhrh~bu&svxLu13&ilc%y
zyzo3=yiFs75BK~z&{`}VCiz!`@po|{2m`!Z<k|=@nlt!uPjUH~v4t$i&CXU&+>W9L
zIgLQUrYOz2C9EN$Z7J?gkNPOa_j$vb+w&HIkE2AUoMuJ<&GwbJNj!iJ8^DFI$+(R}
z9lQXwdtcin_V@Xft5e4I`=IZ+`UKuxLtm$v&Gk(g>48K^oriI(7JwA}Q$W1Yu+xk?
zy>`m%_BXJFt)L3`)iEt20jU$?m^!y}({#KwbrSxRK^N#1JwVk;gV^h?$1iy_R~44_
zPCaSkDIJF|egOgG2^n`^!yM?Hq|S9=6@e`aIND=ZpEG0z6Wi#s0bg<Ljip{aFddOG
zjSKh8aEy1^l6ss8vhtfC*4b&h#Afthjh=*PT5Jx%$?(x@)z(>by8IL=tS_RP;xHgp
z#!4V#V#@Zh&;J_bu?cnwQNgil58H|4*39l0)&aWkay{kn?-JzwFZ=xeq)FYtZBUtn
zs+;F)Gpti&1~`qgtbc%aV<~3Id+Ocdt35X>2>U9a108eH*3{H=H$lNMAm9IqvcQ0}
z3-7b|Sn7Sb``_wIyCQgY=0CqbRRB*-{^wU8;kUjd|9!{)SJ2*#uLN%QrEuSr$go?R
zoiw=U1)7Ti0(o%1iWuV4O*{AhyW9QWtN(vr*fHYqw%yY*$OpT+=#RqOB2@FeQuEG|
z@-PDnx!KyYY}N}DwkVDcAdpBgFZzzCLnD}ip#ZVorFQ)}|Cv)l9wIJ}fpP>MR*ZCR
zcOzf<^OnAL?Py7%0){qbP=g>gYLN1Aj)fVTr4+c4*rR`Pc;ebO;3dZB$V5`O(V-Ci
zql)#m)cX-|pT<vd9hf_3NGch&IGGL6V{P?xrZEp~^yLsc`F0G?*m{b>)#-RDF2tu6
zsg%=LBReRr9*zyAzWp|ZQk~N1MP4YP0(~sB#R}__c9R?xW=X)WUYqQB;^})o|Lx#g
zWIfBe%mh9*)C7Df5Lew(Vem(~tCH5B)r0ZE&G5}Bt|z2E82jmsH3mI=be`omtHU1~
zR=b}^&2en}3AVUM5uK>;TDkUpBh>IcRyhdnB@e<H7PgKoGt($@)FGSn(NA~W2DlQ(
zi|^U58#;qMU+xQWN}k{Rok8ensUmJ}PO4mvJqJSREJ|6_QHF@9ElcOcarG_!XSrWQ
zXakFe|8d65WM(1yjLGtkMjIFW^_%DSpE>!Il%F~K{>0XZebeC46+xetS;m}cNN;D*
zmQvLqmJubXZrK*Q8ZMbSrt1*l$fICjwq4hU=yga6ZixzRNuwpeA&f&@?tbuc`1AZ-
zCu35nC-js7?GaXT5Fu=TxH)|=*;0C{OHUKFrSo+@=Ckqg&!_eCIE@ISt)e!R+SlDE
z0>qv>ODEB3PxQOf)H&hSbOljb>;oveHmqKkh?G2cn9VinbJpJD+N#BS0azm~JjoA7
zPktA5JN{`9aQs?$b^6fjTB^qr)nc-T?Xp))LM@nm0+<03sBf2hR#Aup--7=*8vE)q
z_Ji-Sp`D<V#c+gC@_e7e{CpH=gs|P$K#*aIM^G=MF^2E%K7RK?H9Yau^HC*9n}=`b
zK%W_Dj?_>M3B9Y)vk7&L&@GSHZym#?jmB20p|jl*#WSUdKl2akZ@T=aPjdZ*w?3Yq
z*d7Xs?oFolm`&5*s=*mu3)#x-etS?$HA~o^l(p`eT&dukZue0w>0Tf3mA80@@wt9R
z*3!@n{ssawtU)DZ#+Hgme!BlfV^WPezgxGuZy?s@zuNJOpCCdM@fC+!tQiYPI~F0<
z>JMK3I52urvg<ZwdnCP@hfsU2!%K-nzi<b;fACW!4j%B_w9Rw(VfNuDLUDCY7W}!d
zYeOvrw(X|P=5$@03uWL2fv;395qS$;ybh59(jK%<`F`+u8w8mO9Bjis74y2HJDELU
zk1_AN+d^`0LiJ!Fjv6t$19(aYPl3Rz<ri1_N&Woc9jbvIR4wP*P^_(o#vFz2vP3vk
z!lzFf+zwxO?fudBI{UM*X1=q_A0GjayZIW?a9)2d!ARp|%O<_s`G#F%{0n>=!vONS
zum>CKg$BGn`rJ+oF%PRh-yw83Z6D?-^;@W@S_&Y{uBdDOYd(F)rrwq;-lkbXtUPzD
z{1N^*qvM7GwczhKuibt}B#HIfV=xSc`Y90d)2)zSr^ft^JgEXlM$)z&0X<OkClAKS
zKz(bam%CyO0>8aQUB9FX+kRn;_?mjnLJ+S2qEOWm(VP>l<iiBzlOJ~qxod(by5r*8
z=OXbC6DUr(ac=`e{F?o)Z35fXpJ#yVQbCSTaQe+}ugnK~62=iVE^Tdw*Wb_0olKTL
zMb|(?vLTvrj25M1H63x+wkj>Rj4n}C9Mv|IXpi)7)8)+L<B9V>h|I>KYerm&=`k(;
z%0&v*g;_BTF~e}OCuo{|9Ps5=ZjfxVt>sH~tN~15G@oS+E|%UkVRXk#?3XwhRU>(U
zD%^jLr?dpW>c7==b?e{dB#3Qjl(7y=*(d*Uum9Km+2l-pJ#wEpcyZ3s*-a0d+5M7i
zwhuywD)y}+rH{e9Coot#Xkd_-Vw1YDtoiqTKe#B=lCW=UvNYNd&yfKuNi5P}Er3_W
zMRISF3$u<`;S6UPm-=Y~->OOy7%|$nasGy!$bm2tQ!22|lG?m!C%G=9z^G}W?tZTp
zSz%qQZudgg_R9I2sl2+VcFfWE`#Mty@uQXZ@0Qp3Iv6eAYQ`^Ye_Jj}YyWeNs~{i>
z_UK`PXZi)(Z@X=Md#-ZB_AVj|F2i)jv5UglX0OB{lD6@xwB&N_55mX8`6!ZZ@}>h?
z`^@BdZoM2p=SG|qmFP#ok&5jG`GG+=rGlD2>3*Hl-q`=+9!Y`JLW22^oxG(lXJqN0
z>nFU$qdsTuJ*usdQJ>d<OmX53$L^(mI@0Di=S<s33sbCeH#qaX-5~BzEqx~Wm4jE1
zr{o8A>l?A^>QovwUWNMN3ZWKb6`cK405@8<@Tb!0p368BS5Jq$2TV~Mr<hBPr0jNE
zlR$NB!!@5BW%z4xmcDU)5${c-swI|X!#uc5#@4jS&xYv%sY`f@vGXFpbUw-G{^a8I
zh7<+xM4QK%3R^fKK!o<Z_89rLcsBNgX{(Tn2~kxd38yEA>XsXFwkx*B>q3z>ZM-+s
zXM-|IJwQzg+PA#%i^v-}18`N!{vmYR*dLvUkLXe{3Q}UUqvV8M`wldts_#4<{6zM*
zV1k3cw$hEepEw~V)m#&NBIC<l2C+N}w`{dk<K@OnwVhjXzrj5Fi#YwH2FzwiJ_j`k
z;ZKF?x2m+#pX;=$1zQBVkf%SVcqN*uVzkz|{*u|)ae;$W*W1sOgRc3Hv~b0t%_7G5
zM3DCou1(+YvWqGNpP)H(=~P|Kw6PwVJqnAN?}-`3z+&HPO9^s~aA*#~b<OVx{M>P4
z80fGk`u_dMr`vOoaSp4{d+Cjxp>F_>3&GL+_OeRT$Y&-0S%G?LrV!Dut7am#l^x_%
z#YFi$n60}ouHEV90NI5cnuz127+7>i6YWoERaa;7R$0QkS(Za~^eyv>_myez3kI(B
z>_<qtN=h3P?P-=5YKc15sV!Vds}?s+PPD<CK)~j89O_=&m5O-|q46S|3K%>U?unbu
zzr7%L<Z6;p$E4giv3_0yqv|Ck5j8lkBvJuAMLSUpX1^dJ2J(wXr77+RQ4drrDu(4y
zekb|PuF7_wM{rd0U*=6>bqE<_lMt`5J~W%^*ch|zd^>tH2G15fczWo=K~1My?I=Hc
zOFkx%GPCr~rg=dNQfMV-`FAndn>;7^3D<`n_mxS!^>rc(;((K=Iqz45WnerDqX%Iv
zWhI26ppGO@YN>cSRke(zC3XcCQ1gQ)eO20Hb#wWc&4GnI3Xx&=sP<;oo~$1`GVJ`z
z=~_Y6$$R%tL{^HW;&+o2IIF#TlIqfK_g}UvW*>TB4#7*Rpn=gSrG{yf!G!-TVCQn-
zm5s56ITbXS)OYs2iL>wpgj5F|L?}%7NK4PveS;=+f*Mcbc?wkXTycB|wiXlL*$~O5
zwPavQbMR(~&XsbrbEAuXy()V)*+36&gM1s5eF6r9>Kd-~gsdKi-O|nxS86XYvG=+j
z*#e_0Sf-e};9;NQ1o~fuP{*`5@Abe(o!zZ!)*ulF!&8ilH)->s4vf(~P!-nTB05S(
zfnO$LarpM@8^q1m*~<=i-80L$7ZY4mf}>S5xawH+uE|}wZ0;JX*Zycu+v`yChgpv!
zuHLc){ma5dJ9Tni+?jf(88VX%u@Fpe6EM^NV}tLoo`d&#Zg>kJguYxdY>fe@-T_V>
z9zK1)45Lh<HmRO})&6~3Y|v??y;VT?rv~HU+9dy#ok+H%RSi8F{5+0FwPWEYe(D&J
z_uRf<Z<I>(?G#tKvdev+-09JWrV2F17Jsgg1inPVupm=p=k6%xrz_sIW5${3vCIX-
zbWv8_=w}a;s)@o365Pvlfr%t>&tbu#y;!>lytTsk0n9Xg>{{Nb0FCh?{(uAm7lC+h
z23<Eka5oWl)$M*m(EB<HXUL7NZ6(jRKX0+9Sjm$1Fe;LJ|9Wld-SSRxhDe62&F@M=
z@GRFA7Eid*`KGi%ry}6H(J~gpd>r%hIBRU}aRtK13E<5N(No^{caJv~s;*!^oL>G)
z#J{UHMY>WlLb^B<oyyB^!?<!rP;-*JVBkuFpZQ@sr$SZNF>_-Mhk^X4*a;Dw{pe9(
z9Fi?;MC6~_IBCp1z_r86u!B-@kuZzM-CeCZtqa%^U!Tm(rm`g{%C${Mv;(vi!bm38
zRwdD<<#HG0cb}+8_E}1wktdr@6xk1ihJW){%JZhtJ@s)r2<Cp{=kg=Z3)g3icWC5+
z6N;ZwZ)s3st6!)+#@d!1`tOqa5@*T$hnRHYI-@SRJKKA%mLVZ`ha5A_k+rC*#F@;4
z=}<rlu<9H2<_=sGmku&%AS$m(;Ue%$ajBT4SA%SAP?@FNN`!^oW?Ap7W?3e2I#l7e
z)i$H6W^JO+(^u}zx;5^$Gx(@L^&xdGTEisFv*z;cw_xHf4QF52wq{^U82g7eWe9b9
zox^L3J1C<{y|>@Oe;eX*;fN8fIfQO&u2~xbPh5mXGkbVYBq>9lrS_a*z4*2=I7NKo
zFjCE&D@arBd3n)z_8`6Wgu}iuIp_7mxT@6oeEu!B0oVU|7Jx)a*O_5s%KKy@Y4mZH
zn2_>}P2+U0seWQ22N*f|rCSCLCk`)9?Qrjnp?t{sp|I<94;v81mi?`T<pzSs4}Kk-
zoY~460OmG_ZCrO#`&B(^ESYci<!;(Q@5?pANqf~Et(7E@N0U)_;ml#({08X78qK(P
z_vCRcdwI9z2iijeF5BahJ0k1Zv)noq2c-5Fyfvh^^rh{!4!Xxijb;%2hMx27_%4hd
z1*$IF0ljaAzrIoM<&XE0bnJ}Wyax~=mT4Q~Aa-M6wcb!sA<sBnw16Vz*J}QYHSLJ3
zOUk4CxX<XBJ3GJS*6;d6_T?la>|%@nN29_hLy|vqldW7l{dTqcokY>lSw#_H2Q!Mo
z8M;kz?fDZmOU(p^<;0w3jr%D=qyqg~M(O}}*-M6~>OEH`46ONaXq4!^!{J`??F5-d
z{H8wpi7H-~N4VCWOXEOKAoIO#23N|t2_JmfzZui7yqzC+Eesl_^K>n|9Mvs#zq!k|
z1m=T-Jf(XF%giVIQ!4#|<Jz|5BLLyJ<I!9*Qg%4AIM<Cm@n8xeM(B3KKY?N<oNcAd
z<QlfQ#>A~xS_0F8QJUZM*lQyOKE94lEBU7~ah|8QY9wwetUqPJtQMs|_5NFIyAqO5
zK6Bq?88@qn^p-<XO1#EeR}76H^5L)@9h4B4TkbPqdB_HwNfr*C4ZO_tv-?AE___NR
zy=~bZRJ$0C^jJxy%vDbdYhD+&9;b2pZ!N694kX_d*|kH3@}QA+Q38whggPcUg;ul-
zt{5K2zi}j93XfDU5UlP%Su7p7{-sF`a2h_RZNy^lCuVp!$TecAG5E+(&cx8IaREO0
zUQ)skqm!h<|LE;g$YVsz0nSG?Ty_xANn6mfcTAXr#t7E_bbH9g)DCt}%j|BG5^_v<
z^ZhCRf<tzKo&%oJ@K+{p2YCyJcNc(;Gq<KGk+A@*j$I35zMN&0rHKB=QArwO?+=OZ
zZqPQxYX{VhRd?|HfAM7|31%vsvkKUaSY243A1a5od393SxNUh)q*7G`k*Qu4H}Cnw
zUNAa_(yAD}(QsjjsS`pePO3qp2%G&!eub?g#<}`GJG*3yheqfgnOd2A@)=vfhRbzA
z$E$_aYtp*ikSQk=n-mWL!Z};CuuZCgu*oWI>j=k>8vj%nnj<rC(3R7qO;SZN)lHQ9
zNUTP>yG#?U{oUvqt=v(Yn_$1xX$e<mDU+*+-Ze;4K(f^<m%akdqGWyrU9n`#`>Nff
zxP;cemTURRojPL8xU8SJ^mu$oChfoGV3s+j3vd(mt%R8F373aEFzj*E$Bvn`!8x*T
z69rAXI?hC_4s0}0RSP<PV@28LB|N-hk80V$cMhjIxkb2K{JaR$GlfWB{COdH8+@O)
z=_$`@i)f5dj&TkMnnqlxPmv~5vG=x(^UN;lfT`J>jK`sYm16FE0pz*jU7F$`YiJ%l
zI*wOi2_CktH7@F=yhR&a3{exS@_sIs-I%?YyJ`WBuGe&~`ZTM!cR%8>d@HVMmG@Xp
z4BggU(gA*shK99+sPMNw^eNeH{~VdU&<||5wo9n2V@{YFxk_fnh!G8qoZ;9z4FR=!
zlFA&xvU*0efG3POJ>p`C({^=`e`_eW7_LTiR1o)bQQq(59Shbgil>i{db%j7dX{m1
zPk07Rp5oZPoTJh8V5H^41~Kv0P!6EvrR=N8BcPu-fIxWj>8jsF9cG!o{F!Xg9_L&|
z_7!-@aDYXM!aXSY@f%ARL=S*dz;B5AKwBINkmHLtqV5Kb`te_{0=FgUIo+pWyJQZ=
zM@GDY4LL5U)*#>M8a4cKS9s(Z+b)5JFEx^>R*CBkxZA<Q?LIARJdEG|RBl|~)(R?I
z`&-s!49dkXpp-T)On}Qb0lVfn^|SIdSrL@s7`xig2-j0x+e85^v2$)HXD~f2Wj$xi
z2Y-~nlCtF8rS(g0*Dc~G?BET<;!@56-rQ-2&FR7oMIM0*0KXZ+JI_?l>3&{fr*O{A
zZ>x%2=ZP)TS4ax%D-jwE;m641SwW*4n+WAeU7x_c?)IK=;54*sHF)l-dxzidl1NyX
z`m{|Q76l}r#z2F01L=Ew@8)b?-)pb^nGc<O=AGUcJ&FoAz+!7JRI8ziXSh%AJ>H5y
z<;y-Mtp18Nd$eUIW+C{)<HRHa1IoOa{+Cp@Cs6nL(^PR#(gPP!QoN!2vxu^$$zoTl
zkkX4s%v}Me=L%Gy{y~}T^&-Sh2WND1cOjDP8n5k)2u*RfmY<Hj%>H!uH!8gRWUhB;
zyEV5>{`6keqAGi@_9>Rj-awov@7Rs!tycAIT#t4&sblBNIwfN8vV|P1?@+8tO<*K-
zb!;`n3RQJ&jRU-o7+0>uTk?3Y3y_?LmT)}79|x0%&ZX*Olq*?;A|12}6xe|}DbE|Q
zTtlYpf|7#Iy#;HRN1qoxdP-Jw-)*ZpkUdTV4iH-M%3_QeNbVJGN-(O~jj@XE^HYk8
zMPGeM#bFCLX!MA03G|k)-_?<{hV{HT{Z~GJxX)ZZRsL4+k40^lx0h7%x>^nvW=V+?
z|FyOK+E8K_y#xg=kPAj!j2BCH%uE<+2K029Yw+;bMrmKDRFi#ef05&jy^|(R&i=UK
zIzh@oX-CxGx4_T`{P7R$x;#u1zuX^a5k5VANF}EAbHA)ps{ycIAikVh(Rd{m%`q&O
z?oAP+tZXR)Ti!7VJ6Cr5M^G-1L{P2n4oDvzK98@Mci&i9#%<^-(cLkz%-atI5ep3U
z)T}SVSHpQM^G>;L3aU~Tcou<^vK$vdb=S1%rT4w@EqgT(OogkORpy6e|89w!4EAAT
zt$&l_HbMbBdv~hY<0cLVLs)H8)V5bqlQyAH%XC0bzOcTt`v8AbUSiyaYn;lsNCZ#T
zF-ypPIPEXL+TB_dV%Bqm0_Wd)({5MWSzjQ5vgRy()04`EBMtkDf~8*78%NZQ=B<1`
z1@21Q6jJ4{hyFUT_GfPt=z8RFE_5SPwFn7CGR-t4^IevAr2$;&FriL{=1)x=55y6C
z<i$!M1!t-fGT~(o-=ij^SnQADY$TRE(QT#lnB1zAkPjf|xz1A7W&U($XNa_MjRUx2
zuL!4)gm2KY9^<;~k*gaE%-S83D*yBvhaP!%#IYuqf4@y?Qmj?YxE`})-Mg?lFV&C3
zLTVKI1Rl){tYa+wH95IBilCzz{Ic&ZRGi#!=LaPJ12qXj#@Fd&xaibkS;{wy%%$4Y
zE%z$`A?^1!Qs;Rd-`Bw^`&53hlr0@l3v_n%lIR8IY_@mr9sX2CU5`ye8!$xqVbp}t
z9%`dYneriX`CUtXamt5-`Zh<l95MYuGokN*P_5f1flUY4-zlFy+_xR*<fhUj8Fd5s
z&X^8UTx6N<y0I_~V{Uya6x2<=lY{qcU|FD`YJ-oKa~4!4m+HTLm=!NL)JKKBh-L-)
zTxxQ1jo<hdf>GES%u5u&OVb7IRgX1vL(SEufZ7y^IABO6r4Xn0U@9Vh`loyx#Tho2
zt_7=uVgU#+LU74SyR^3^DxSeHa-x`S$*ZJmOfw7j%u4zc*=KO^9+!z^MA(p2NAlgO
zPb}#zrpwD#n$_?WD0}{+N0&@Z=66@;+bB@YQ9fg*#jyn5@nIAUr1icQ7|gifSRe1@
zissG&`*f7AsFz(}YUt>3m5`V8d|dmJGiKf@=w*`-2{WAE!pyHU7M;L4#;%Iozr-G!
zBjyK*Blu}6xA4HWrI)oN7OIpQsR^_8R0u8d=FGC_zFSLJ-#PO|LgJJ5MPGBgSOJyw
zh8!}CrPec;tko<8ULIIzVrYZTR|Cr>Kdv2C+Rgdy$eOS9MBl<Y$N6!^76oFTD`y!L
zwWAabV&<Bcx%c(l@1$y2^9UDOjhAtAi0CDW(KS>I)qypLE44U+l&f(6t#vTl;8#%$
zH^&mVt4}`4qmtZ3cuj%3N+~>_jS|WW40<{Al~*m%0aTpU2<fubd8(2#)>x1JT`3wl
zHHNi}VcEsbU3aKUrsX2oxOg~hP;f7N&6sZqlyoX7usl9>Tm^m9X9GozHqo~m2HF6A
z({mSon|>#4sPjwL?*tSCi|#!o-Pg-i)zm)B@JkYVuh?Nx>GyU*laySsDh!;Gu)?aG
ztO_}c4gTZ9b!P)nfm}Y{v4Seb?yZ{X+dU)xetAs-uOw>($%JOqN4AT*QTN>bBo{2=
zf3O=4QC$r?pNXO7+013r{IS8Ls34O4^cKmQ{J<Nt(>=b5<_i4xY$|T600*4$<92S!
zfjKT~iA8<J;tE^x3&)~5_7=ncZd|-Yn|srQ=4}e#C-ENFlDxxqEcE59s{KrTS;)ed
zq$0ss?RcjVRkL!FUp2F`k)`ey?uB-=>GVC4057)(6-U%!+=Cn%y^+8|bzyXLKrJKs
zA7xuR|8)f6h`N#tj3R#nGBLE`HP=(T{^$oqZ#-Sd<!P3)w_3@6TGq|ps+-c)quS^z
z7Yq%WoO!2~VAO7R4t}7RaamE<t%wqaI?yWm&n>wS_M)GPZ&MFqIBey0OMdbPjUkx|
zytlc)J5){qkE7n>SN#@t$0deVnZLLr%ei(Obi}=E{#MniW_%bf_8U{jdCV7+U3B6)
z$LwHeW%9M@c=yl;ehrG7x&MNHsg?tgBf+Pbpk6}vaL_#OjG1zelY7RXrFoHd@{_8B
zA;A_azAr-cX!mdZo!5ou<9s<v<1z|vIl+A4OI1y`cOu~_`hj<K@D<4`nm@`|c6_A3
za(+0I7_p%*0d~oE<YER6$m~7slHI)1NXr7N@(!>6(aZ;$>keLWf)+<(-A!u%CgseR
zeF)pm_~)^1y$%Cm=Ii|Rya|g&TUuJab!s^>4bMllELRpkbtIMQHUWQn*Zz}<ai!c)
z{#YkMAsd}#V=Zv}gFcrrW0-b6DUR=%iobnoLyZq7CQ;eCk_gF!XyXFrHuW<qS0RFy
z+f*|_X3_c`9ph8-qXDWD1<FNyogD*ynl|OsJB5rz)#se~cWlG~Tn)K9_#0C(cdxo=
zt3k<z^fr&<<fLk|v(BR;aCsYkG{f2Fn0Z-F-tnm@nTB7(oRNl8(|KnOQd{R%iBNx(
z`i{EvpmlOmSq6=Wo+O3Q<|_D&p~h5nQNK3Q_3zXYgR<hCpYAt#t;J%k?HF5rw{_Qf
zvGcotQz)6hG<}-EQN@NLRm6#{GT8%0z8n0dI{;L>l{zc1cpLTH<HJAQ@H4__*S}m?
zsHU-Ha&avJPu=!0t6=t6DI`Eijqq+59q}&6rroO9N;pUs-RFswZGbT{+tOBK*mjfW
z1a1zySG>Tk<27MUF4j6#xCI<4!r(kw$UWHNiP-n1J<knTVv}9)^49aJZtS`fW0;~O
zZ+FSa4a4BIX4gZq_q-eM&EO|IH=MUkkM@7{_qWq^)-2v{2yw1kMK()cfN6xn)dfl~
z#>Sot&_*HHRBItiwFHe2&GTs2zk(xU9eEl_1fwXFmW=hyTWd7!zShRkeK=$=XVyv$
z^i&ehAC-$Y$kp!}S1f`fcu2BUi+D&-h}GD5PNhuA!-HjVLSLMpy?#9tN{p%^MS`M&
z(@Z^gfLJb7!FuqhwJqyGC`VCssWBnuQf+IUsYHsVc2;CrlLlOKfY{j6WeY3mj23i9
z3b5(G{%;rkb-~2&sh9m?D0O1n!%B5nRN#*09JbT3&po#Xo{TL#&2sJmGp1>ftNK_z
zZ1BulomZltFGh5#dE3*Zk~E^dG~33HFGD?7l5d*GXywP`#Eau-w)+3<O-6xpTmXCR
zoyHP9@d$el+}50MQ>)jKe1QaYZNQ);R+Bx}N9MH%=8N$_f>$)0X+K-a((>LaCBwk0
z?N;{Wm##((SSGAtphl2Gy1;9nIm0S>ODpNL0PT!PjIVvCRrOr@_l`iXz#ua-R^kOR
z-kh^JUX@EjxNYP+SRiEPf)7Idi^}@1%s+%1WRuKyCuv->&YveTjcY?~d7egPWo!C@
zwEN!Ku#$%;d*iAREY{d>NF05}B^kozz;SEQ2^Q&@UF@rGAPsE>l}sQb&FILW)fsgh
zR<cs9{0wxo&oki57j}D@VCfa>Mx4i6Vdq?FOG$JGL49zjW#NlYibRFn@zq9J%5_2w
zP_E*kwZYhLbcHSNpe(b0{<UV#caqi*7Izs(T8>0McuelOzb4xbN8XcDNhUqt!=7Eg
zbsPAW%RXT{*+Rapkf84-23QW|#-@VeAwSB=k*ghBn|54OQ5r`wy8$EKF7?Hs`d#~=
z9nTd(01E7<5IEdz5!8Ck80s6ReCQ$BMRC5o$~&w|D5LS|xI8)e+9;0&?pv&4rgaS}
zG+KD`<@h9cKldg(w|UdQ_Zc8ImAroY7ylb*%||$zav#i|wQ~kI#4(au7J9aG*(_iG
zo%!qKJzm~;>(P(@vf^VX%HZ=I(f_<C>h${>b_V@ce^c5xjXtjPx<x5w{Ggd*>#BIP
zJ8cAev{5rP3_5T{Ief5yI1a(tZE(Mjhkv{d?}CuWq1ERe=Tg=OOP}Wctw#jO=-&n=
z%W=-tG_5N9UCcaF+ySzYP9|Uc5cqFD=ObJC7kxX`q!FMd)Ir1sF{yQ{ED-8kBra#R
zaemkkSij-*mcZ-f3LoVKUex(78NV^O=5Nezt>4D*@Lb+bln4j$TxpiZ247i8h6rhe
z-u5Nr-@ZGxf|g=D{aY&FY1h2<CF8X#bBlmy$7EVXQ7QM|TOWcCH!*{@m_P_$*)X(M
z7mVA<BaMrHG6~MKw%cL>Bni-kuOPi^^s|WAGoBz|ZZd(Kcj^>JC}0%zQU#~4S*C93
zMoc7e$$edv2>aAy8`lQp5@jtSE-W;i5JkyT<6H%q2$~YxFyiwfrW42qA5>*(PZx4h
z$qFL~N952rE2rF_Kiq9Ecyj|euY5DJiVQoewC9)6%ridwxghy5#U`==5#t_pyLtDg
zcxL_J+nAO<O~?0=JAArc!)OJq>_WeIoAb<)5yZ}I0MANOP-R_9-sW*%mgyDf88s7`
zS;|bzd^WCR;!PfMaU~ifnVb%Nmmz;&r`*Jp_gQKyeXfSu6j6S1wiecLMF+`jK_>wK
zcXv@H(;>>D5J!xRW*vFmA7EC>-&)i{k`b4N%Vhz>(Obi&s)FIyRhRVN$r;>=t#v2-
z=5m*}-#j67`_uC&C-8Mj$?UD8cY^I68?_v{l4o;uL3s~<k8=#a`7Jh5(uBJ@L&5AF
ztz}o2xOaPVrFM8YOxSu%K4U0;@3#*kaw3+YAjeTDlbacGZ>kStf#)p#6ZKgi^j`Qk
zJV^ien>Q(b+dXtBVt&;EQWNKl*n<b4$*F}eMO;=*=bBkn-gc$MGcE0H@ypqjCBO#B
z<P{n9X1S{O7P<;{5zXE2wZYKS+uWzy`@ZjJ?{N$38MsD=5<E*2_W;jht5YTc^TiIw
zAr?rR;_^C8X%Ww;4*TZ>1<uyz+l;$Md<<VJ`l%X!?t_olGIxLmTDiz1Gala}*BoQT
zjy>PfZI7lclIfZieW~NLoJW7ZS`l!DF`_LrlZI4>a+(%SI(DcX*#KFK0IIbA?L<|@
zw`qJ=D^~T9H*X%NbDC8$1@pwHbB&eOu+JL{m)O2&Vk*tyT3_36QV#$H^~5jE`gwgw
zHm~qabj?hNJTPBhGV)R=%N0j}i*n$ov!r^JlvUaC*}ClAKYjA~ll!mV=95We2&^0*
z=_PvWm9U8STNJ~UzZptR^|Y6LnKL%J82({|+jbe1xYypCd8e>ju+WO%0hZJ?W^5YN
zU3psPV}FJdO6;wfSOgAixI^k$v*!dBe{Hs4Sv75Q0F_k^1LIovEdR4PrQCp__3rvx
z>?L75vz-{Hm*)+Mh1{v*6;d(zIvrzDj$#V#<5FK-wIxl@WGT2yhl_kv%W0xPbK5*J
zg4<vgiX7z<H!nm8sGaeG>e7m_2Z$YVHmY_!qV=B_Ha7Y}*Di}K-2Yf9I(oU3r8i|F
zXMqsP!s>FnpXy(kSThZ7u==t7x$UfKSdlJQorw@z)R;5&CMQA#zEhrN6o5xD1dQ<T
zP=TcCbDe{-MXOA`FY`LZqS#_9uf>DbE-}D@`<Gj!C!oMd6k_A6j-jU+z;bolsFdFB
ze6cBy{ijQ|-2C4B?gx?X;P%=$(DAWl>&O1*Sb@%^oHU!Fuk)CFU<2(=(BkUtS(l5^
z;g^1=aQJPziQVk}6YxOGZ$GZ>E8V7tH$ZM}{BSBhkb29H6f{o=f4C-@7x5tk1xDM6
z4Lr}GI>op06Y4UL?|3RkJSN{0*(JM8dIadJJVl__DU-|FIm8AS^e!u>mR+{z$Zs!o
zx@uKhEk7zq?@DVs(P08B=$!0*9-Gj)hFaiHrBOY{`xlPhZt20O)6&ecjEg}+;e1iG
z;B+d!-N-K2`C>>CX9Fm}@~I0QQWa3{IDtA}RJ5~pHWu8I^iRP0vb9o&Hi9ZP!;d-m
zf{}oNQ+UOFthn!=1QD?241&2Opp~P5qBk<^>}P{sCFaz%=>I$eVDBgS;NgCziz4gI
zy(I0C1=GeBU^<rD3Zuu(BniqPL%x%|TCas;A~<<}>heEK5R*JMey(~=p!VRgh>HuJ
z5zwBszDD)By>$a#xDKqKa(3psVOoDrTqOhPzWu~T_cDW};@LDme+80lrUl#_Xz>8l
zJx<YLs!t;7K+SK1gUQYjRSl}LJewts3|Fje&vBd3nRb}7=D4gTTw>OqnYkE2Uy^=Z
z&O$}|L`J-hK&JuJyA^Dhp4&GgpRq9s(Ts@W!bQ7dIeLiOlYkG<GKwGnw6)=s54scO
zy4CUa;IY;RY|1=<kEeYI#J>AygLCuoLcYfvyCs%iqVV%U#42Xd7R?mJ)Jc>Bw}R1z
zpsrf{ctZ2&p#TQxgEn1|>WTRDp~gis@JE)1^EZPZ9V^Ir6r`sgIo%qI-=o^We?UPj
z1ZOB|D)l#CT_|@jM+LjaB~AL$R-2$M@CEv|cwozajo;kWdQaJd_RuQk?E)>(W>IBI
z*cA&5M;)1BKJpLRHdlk^i&P7698w6;2fb(P#pf%FY24XG=ObO&2a^G%7v?9b4zrn5
zN1S7hL-b)SvPx9irJ{ga_~*AVj=1@+4etv07j<lbDzQ#+Q5lrE3h`H9>c@{Sn>%<T
zyHqS5^VlW$hI!t<Ov!EwVKE<hN`t>y|F_160(5+?gSqoR%-P9560p<mfYfb#U~|gQ
zWi{gm{lm9d>sdArqML1fJocOmZr(4dt%2uF{#SQz{Z?hygbmY(lt?!>DcvO{0@9#>
z($XN(-7Q^idXplh(%szx8|m)Y(%tngp8I*e?+<u?d#@klIFRFtwPx1LoO8|$U&f9C
zB~TBRM~0WD8e$2lZH@%_>mia{Ja9;-eP&IffX9-spVkwDiI3nYY$55K`xR<&!T49<
zr$zH%3jj+n+zW-V!8XI1dM5mHe}Y3by8o4*K-a`hMOCkbp0%v-D(E%ileX{_4Cn!F
zFfrPT6BmjQL^fn{FMK_ruZ(}kiqrX$^4KLoW!ZbSVBi|{A)aC5L3+4!MA1W!wpV6L
zUJT52*uJ4xw*D^bv)5JNK@HeZ01X>bQbis81GY`^L$&>8oco?R_X5ez$K&7&9>-TZ
zpTOfhqW2A?x^L-(GPvp+FSfCQ_KY-YSff9y+ok)v@f7UX3oIJ6wm%{f{_`zV%VYk;
zjEuQ}fH)s5pSl>AMAHm?d&c#uyFtnW3yKLev6Hv$t?U=pN%PNXi{xB(?H6ql+&X&u
zAk|Gv>tr(3k|>nOiO7yn{%r_z(sZ2eE!oF5D<@dRBfrB>?tb(AV-^^5G4tqI(iyRk
zDS{5|M}Z3_eoYpa@^ZnCl^7+JI7>kXj{G#13V=A*1i|vC_f`&hPYIb_ITN~N&B;p+
z%Gs#|+ZGDmmTkw*pYPEl0jc-zh_M3!;pr)v8eh$3env1*_p}7<c}=XVN$V|>;3QpW
z>QbWm5E0|#A8C1dCtM$TvBC5+i?n?<nxNh*w1Osao8TxNWUVn1GLcVL3>p2BZ{GG~
zRp^G4-6v)tujoGxMS2Cmp12>-wNL=lXuAAY@Hb5xB{N@PfSHB)IjVIS@yic;%}2{g
z6Xkjzp&1JLn_&S)%9MtB#CY%bx-5RmkyJb<5ui^X;8K>w_y|n~aGYK<$3UF3z2~15
z9tybE`nmr8e^NpPhQoElCi`fWNHpt}GvWy!95pu?vU<z%B)Ij<P3s_fTgI9}&mqAK
z213|_S-?-!Bg^5>{~)^>b0)@JF;-ktA+#Yf!;`<E&BF@plE=V7Iq-oZh6bLy@AWgG
zhhp_yvt6zBJ{l&I2b4$e%<1qidYdqHn-w|8U8riliWro#0jUcs)+D8k;kuSTn;`pD
zVYnV4&*jEj|5L|+vCB|*U5F`skaD1Ha)a6XT!Y0HlalmoEm1ogETtXVwQi>#e|jFf
zcuw(Lq|oXERsCIZ9pU5H(~~&XjrJxY|9*7;)FBy}&0-f`mLw%s*&-2ONh_T3pi(i2
z;!jW8q&aVtefU|QO6vg%Bw%JtMy1q#<<#HOc{R!hJ}UniwmWeCI<_KBw8mN|C{unL
z016?j<cNs)k%A~(b9@g!{T~+qBnynwaW!!ToqPYPpw36hnNBKcurVBY{DKm~y#a-&
z69kF5^&5(%J@%;ny{Ug2MXI;eyUZ5001?Kjus<U<eo5jlcrwA`lZ~*7_M;p(X4%*w
zq=c$DS{u|nI^IX?N+lp;v^ITr&z0nY@C5NR7pZ6~f(lL#xndwYEUPcAF%DlcsjBNN
zc9+f#-*{>jfUAKkc+MdAWqe<bY#=04h%)@=`#!uM-nQS10mlY#TvJte);CbCcmTyF
z#723;X-vpF!F!7}p4c1gS<hRX2Mn$!_ygxaiK+uNQb$*lXbNBEvm{~RWGy%N+}ZZf
z(<+-^+;oyS5d(~A0Bvjdiyn@`Iy5Ta<dOZB&q#gEMe!%!%CX|{t4v8dw_z_dO9v)l
z5s20uDR#U%6c!-wxDcTVW(xazuaIGJ28CNqf$hGfTF8_?0ii<r`IZm<YC`dFp|QNQ
zc{F|th8E5<%vtO0_e=VgdcLvU!N|;_V`(M&uVl~7i$#;-vzeY)eg^3O9;+_M9?SO$
zp6%GKl%enR-K}HVSq#_ZJIhGt-UGk8%{$k#E}KcG5-(BCse+L;iT3`d*kqE)B_AF7
z=>R8ffq9iXDvp<-<7kyc^wfvnQe?U;yJkDbrhC#|tbK$_e~smMRJX=dQnLaUmBJur
zHbwhkTnp6!FH+o`%5F{GC~|_Q)vyrbL9Rh2v}~}~AEgbb>H7@eQ)2>8)?vi3p~l#f
zwFTYQ#9C>X@sS(RJLgcB2f|1u1;$^!B2a2zF<@F0SyWt`ck2ow3z2f0bPLk`fh*P6
z1)SkdLk$8+xk1$ipL-q7Pox2zG%_cOqAY920$@>t5!4n2u`8k}TA6P9j%N#r!3>1w
zj`zm|=GVj$y>~MbBNZBW9*ZEgoqlZditHQvzJ+oqqq3Q=cJ+%6LodKA5Ta&kJ@CGu
zjk|h-@lo5}STYR|3z`gFLTa>zKEDe6xa{hUdn<7qY^5RdcsLuoSw0E9_<%dSulVfT
z()JxuW=TSp)3tfkk`H!H-UUlPEA8-rPjM+42O3~i>0aYk$IH^51O)&Kw*}>Ra}s!_
z?U*;VfTg&J%TQ+8{u?*|4J@7ALF~Dmyh#UGf%R$B77xKAt2kn&K*ft@TBc&xyaW3e
znv>0>*eo#~wP15%iEQ<>yL<~Vbm^bg2cL$A=Mek~t0e_Ccx+*4nrFQ9EtMeMb79LK
zaH7c1<_pqA8>V|rzt`I{*W;0R(awsQ2K_-*Z!9!$#i~Xh$S;VD(<$T)@!l$oA{ut!
zlmoB^8S`+Xy%zSfBQF5Rf&g7wueO2rcf)=vJtr)Ul$~%~Kv6oz^5&yN(isND?IRhr
znN&IT_w8mm7BP1I=g2>5TDR<1cR{v24AH6>AMqFkiu6Fj2Y6!O{CSQEbI+U(>y!X7
zk|gynkl-7Aqp0gIh-kPxe~%&_8$lq0FzF(zy(E?scY)@OyV!kJi#i{vAWf$8`-H;~
z`_;5v<xkc4{85TWeq=V$^X#8URcr~ZgZmx+X%6xx!12os;r^41?J(3(W3dzN&a81C
z?QJ9hP=i`yFw@oJg{IP~5VeJ|3S@%v-E2YfQuq_DdCHAJ2L8sdHN8#<Q)^e>Vw9C+
zxSWaSZ0=UlJ%PCH7Pci7@HZKx*t?J>=u0j0jQ1J*PFOUN<3sXPUqLL4NVNbOXez}D
zf}e>+HZ8-CD&6&2BdgK7q!&~>a3HGwCR{MzZ<sWc=M^owjb4$WY1uJP0EVeGCPHu1
z1;0wV#*OGp0JgDnPlHLBSO%~rVw~doZt;(2cD3H8tutVrH~-7e;bUX~gFD+zNCCuC
z?<z$OXk1!jtd=H1-d_P-FpkyQg<BeIqVv@qC)&yDl)4gYeMm>mc&g-j{i&IhHMzo+
zO4)_s(eOIv)FUT_52@FX8%KpnNhS5XE5<FZuZa-Qiy9h&FHe0XnYj$i-L^yp*W!AB
zY45{0^uh)Kxzo_~2hUMnvI|_p!DLeQ`Sz07ss_R=;8FZo2u8HGEuqRRrx$mUQpNN5
z5V`8hVUYII=NooFedNffvW_G}g@1HXNv{zKpCt>XY@dbG);8A9t>`IQjdZU*;t~g5
z4ofzL!w6AaaK2%pt65VkOo`k3n;dJ&`pUH&>PAIx9Vkdk8xFgNMF=B&LGV<QM4Rp4
zKxg3b16&C3tZY{8%Hh<trU0hj2Ic^kn2%JF)&u@kOc2m~$)}#|u0@}-`Cm@NbfIq|
z)Q?&LE)ZGh^LMmN*>rfzzgF1DiFyx}hDn$}w*98^qQc5M_|b8ZLw0X!!X-fhDQ^Kz
zMHN>}0to&_B|C=>)Lh@q`TC%D#oGGDV1iN66tVuk1_8$n(a1lu3OsS;$cwF}^mDcd
zKmU;>7c7fMry(4Id|nPq+$;b~Dqq3g38Fw?FJMJ%0ZwJVmlzDZ(dRBcM>^v{f?pV1
zvSV?gmHme*a{JNDO-3aIanhxCS|Fw5PUN@o;1YzhS*EZ+n#i9{)fYhvu={7MKPLUj
z{mCW=sBrDCA_%MTDPm559(jjAUUxP3b=fqKJ{Oi5@ec)2inV?w?ca>+_+!Kadce25
z8fAPm`Vh~#<^wFQn_r>e{Dnk+cC&-1Pe8Hkfu)A_jW5Nc!o2DwZiu6zdKaRUr8ob4
z+6rzfG^8zPbn$rJD*F>lyAI?)8wJ}#pyXIB2w7JwQ_*gXgvoV^SrN3A?T?5a|IRGP
z)lB%BJxed;0p@W%DM5DytZ~LJ0OtvJc$Jh+%lYt4f9Q7;&{i_6Uf2UBF50XG+mJ6}
z%W-R2Bj5T5FqBo+HM+FT!M2#H<RE;6Xo^-I536V|qQd1WDjIF-Er(yEesJXimhwFC
zr25#7y|B}g8D`3VZCIw2m7_1IOBh#O8ne?8;9079^+-*hTLj2F0=YvzI<HxH=Bx)m
zl--`R(LdY#?D~h$5{*IK<j}OVDN!?^ZG5=meTBmK>vGCjMjuBZxBS#Ra93;MHGuKW
z`;4K0)!l$du@KBbqrewF7;s*fRTxqULQAOc{x{UnSVzBet4Bp9$prSR27)YrK2VEX
zfCv&gAYFer-7xVS%IX7s#;Fzm4^jH8CL_uw$D7Cli-8ol7Cb^Oh@8Aq$otZy4MEBJ
zLqnd#PhoY41tj{q&R97qDXjM8db<#4%PjG`PgzpXB>s9tJ+zOaoV^pkGMd=6qvB4a
zBT&N@`4)E(08-d?gAly3o7<iGmd2jY->e-K+44K$MzZv#4$JPwF~4?$8vlh3j-Bzl
z^HS28GzU%|0B(Q?EvSFzmklWgi5&hRi_bsDdL1Bi(zN(HFkTboT+&N?31C;B5>!T)
z9921paMBZxNB0tVJ00SU=ZZNbJL1RPxaExrF06p`FD!F)*Ba#TQB!PwKKVO)zVd|h
zb~hmFeJTrHna!IEIXU!bDSod`d-ArV3cvT(_c56$ZDaO5OcXuVY<e_ny(kZZO?@nR
zihGGslfr>l0O|#fj`2=_Hqh-b%?ga4MxG#+7OdWW@m@iWim7cR$pc9kgU1l)WN~}N
zGIH(Itopf1?jja`8mGQcN{`3_Ssvz~CewpTb%m~}I0<`Zki&hEXB|M&Dy;u%S%k^4
zBeN0*133!*;~b!k)rolA9j7C}#|h5l?LHITqJwbmitI#CWsuJ_@g%^5F2S$klSBH*
zsv~hHFh2MY&Xy;=GX`Q5Is`__vRy-A(nL*}8vY;_l>3selY42Oeg|Nm!#Le)k$5?}
zIeoH@l@ld`_CN7Bj<c(E1Crr`s-U1k6USmpZtxTF)l=^PyYj-i+2T6WePG&G1Iva%
zd4YV1_LPDhqfoQ9e-L%3n9%K4@1w|dOk!?<{8n{5$QxdrI-I&<&*>$y&8R$ws+-8L
zn^j5N<kJ4pH0ZnBgtfz!gCAx=azPEQP00}_g0GMO53ZtG;+^g@I@)1%08iTd2nOka
zYClER@=K!n4)O%6PaN011P<>+{~GNa6HFD^<+bvE;Xgq$M^9<pY}v)_BQ{ViNpWUY
z0y9z*S(^xYy`%b_ZS5GlgnckJTxH0@rUb0_R6+O}!++N`hQ68AN4(UY>A-(VU`YTn
zuty24SXG@}yrbPgmZCMIgtP^}5v)XV^lDh7__zRQ9m*{TGWm7@VV~<hG$q=?SI>PU
z#({&{anI7GXe(;@V*J*U>^cC~=u)_TRrb9HE$!-e@1rvkCrnTrl?S*DzdGb{xk*7j
z-u`Nv?PytJ01fw01yn~pLRsB^rBN7J+-%?<0fS|?c1C>sb(<CSjVPYS#|p3+*cMv@
z<EK>u>9X~=cI!{43N`O;1(P5A$pcCeoBpcaQ<O?@h1xNU>cxDZ@V#wSJ-joZTF(xW
z&D_&%iC#+xa~JOiWH#yMHGD{jnz?a@EBc`(NAGAC1t7-QV%ZhO0KS0repb0+IWVv}
z8&8)mhnEh645*4IOAr_+d}BonuF4d%`)}<z?Kuv`my7p9Mx|W|HBFADUXd$RmCu#4
zNU{A`FX_{}exz4fJ=}AJ#tKz;8gxy2)vax`I<s;J^8>Bn<3aa5n^p&$s@Riw^sHPp
zj~+MCK<-+}ygtg(>vBxIh_IW4<qRu2bni>5ORmH3+kakpr9?M>9-!e_y1j*TdT-pz
zy5Am-%&vrT!Ke=nJtQug&dYSm<)t2LBP}#b+z~@mk-1ZT%r5}-(Q0!_$Coh`5Ixd>
zmfl_(-QQ%BCO3x$OdW@lizD`U#Hi;<0vL!#mExt^W{ZJXJMKLkgG$8tbj!fizZJ=X
zGs}HrX}eR)RPtS*8%OkfT*t+Dfq(HtHYoNIaPF<jPVEzQ$=yB7c<_xnxVz;}hq@^}
z1h42**j@>_wH`7jcf|KNgUUkK^WLwV&19F)43X(yQ`Hn(|Ff#OQ6i@=e3)ZExxORe
zkwCXWO58PUva9(c)y)@#lct#t{#g><VFwSxlJ`5=QuxTcKGdNS48}{@=h(E5D4-KV
ztKT#AD^Z+gE{CzIa>4djUeg<G(%@r{yWX|j$ID*LbcSZ$=RF{aznX4&f1$>+1u9>~
zT&|kAqbw*wGbXY@ItutcycaZhkOt3NduZwW1DAxK=^Oq7I-$+#`Kt&KjaLGX-aJpN
znCssc5|<m2zNdvuLf)sOcjQ!EM(GOmZTh8G!Q@Bba{4a-EeS+wT@JRWv<M&P>=%#u
z^qE@$)YE5u(@ht8IjQQ`SxW8I(}Ip`n2r=WfV%IySGo|UOxDx<qTTDWE8%eWs!7}G
z_FF%z6y;_IYehw4X+3xwuAj?SJJHJ2i^zllPED2UBd}egD8JGwd=7|XPx|nOKP}l4
z2m#JWf{5K^KITez-@IC&n?UqDK^O5Yf>3D@&VQ;%lmI}r05XG{amWvMegE8_wNkD5
zQG2~{3y~rbSDCqgmgRkgyYNI+&kgKWX1e|wd&;pFcT>?zz+&W0?jrq!S-1d^3xfXG
z^!bt{!DHewkVCTAMk(m6G|?2Ti186(zS=fSE!K76>-+V=chgbI-wqKq^QE(Yqn&pJ
zYy`a3+d#LP^@tsAZwitk92Z7pa1^avY-4DcO4=_Iw+atF+{~EV?yguY*zH9MC0;ne
z3tPU2&ZBOCJ@fGeOlJ4*w=5KkX!O52fdc_@5o$)tsS$i^=)R{w+0P!_A0>!2_yMh;
zB2>iSPQCVZJUkzzR4(3gy+6nM03Lg^_TUqjlV~C8CyF#5^V2&@<l|YX=PNwu6cCE{
zz&oKRx)m3)Gj;4FHZk;Zi{jURM@Ssb_7;~?w4?Rz*5UqcO7(D1m$@aJ+i!5?)S~_-
z*o?R%{<;CEo$BBjwZh>;t=mDnLxxLgZ|lKUWP^=-j7@*cKjreYOo&Jr<(+1s4CWU9
z>?pFf(GbN2&KQ|f(6EUpwR4Cl5tf)mq>{NlC5nRvlbTnocc^sHzp22$5M*CRTQ`Oq
zGqrSa*U(*kw<<h<r!U=)IELBuf3TL9UGNltufMSEJLmcP*F_Wj7AAb4D{qT(Pcc8b
zX6Hqv=OKx&ssAUJnN<3-bP2)XfS451@cXRJd4spw-i1A_GmjI@Uuym$8K&+puXIbW
zc9`Egz$t6A-@lnZ`U$sqnH84KOXxm4nXgRMnB@D!!Vg)`{dRBDIm(JtziTw#^vjC0
zX-!`;a^~L9k)EAx6F;tNkWXU3a^w63)PeIVvEfh9)20HW81e^Oe%KvGPjnkbA%w#q
zVbzA1-B9u+)jM%KVJo!8*i8@91FjAH(#<=5b3uoxp}Fr7j7(|)nx-*aLC8TeuIHOV
zLRzM`imrRYgLlv7k-Oedub&UY&4u#Anmkz!TXfO{Ja)A!5S<K=8m~7lD4QI#>86T4
z(Nc|lUZi#Wu3)(PG9A7pl@pbuqJ8p>xOa-{L3jQN3VCtdU$rfXx~T4RIyr^kfKwLh
z-*~$oo6P>na3aDSW;cnU4$;y4fg;*uk>Yd5G<Zs4yq~7g#5v+IX0I`ms{ocy_=V=v
zX(#&O{hX^KA~O*fdS=(IX4{(kIYHjB%FqHU&(4oF5pBvP0LQiB%@+hrwI1h8_Rv3U
z#+`h!8BO=6b@a?8y@?^5@#PwLRpNNu+iB<*8|fD$V!Itpo23*<rLi0w(`eF#z8FDV
z71Wp+-=l^wEc|gQZZ%?xuR_|bBWyh5?hch|QADZ4yJMkUmg@$SrMT8|HstRQFwZ=h
z^c2pzE26X99ni5A(Oi0ob`v0G=+(Z5er~cNY3%B6avo=^N&t0WIn0E~w!X|NJ8BlX
zdDe6G>N=5HFmJU;XK|20aWvIRQ~D!i5VDj^4K+oc-DSc;7Ec|Jlb!ja@V$3k@yrvQ
zdhCa;^Ru9--D(pSY|^AEX3Bb{357K|SG(SsYD?NWUp=A^>laGT+KsGxjT?c;%B0~1
zAM9Sl&HFf12X3(mrmxd-4iNd^;3T<Q)=4kfLtk$cskBfc;uumO)KYWK%eG;5%}ABI
zaAr`ms5)3f>Qzt|HFYYPVOB|c;Z9a<i&AI)w+R_vgHN6}ZB?IG>he$*pV897xBKLv
zd!cV;mLwLVRrZO6Y$<iWD&I&}{|v3ySib9%VC!bB4f2wR@e3W{`dE3g*<Jt1AvIEG
zlr1$mWpO(&Z15#={nOYcF6o0qW~sTHlnb-{hAnYIPm35Zww*^j$eMZi?<eTJUU0i!
zaQ5q9>wi)V?-%7U0-Bdy{l&0rC?)RcA1aPeZ7yYCv-2E>_XWDc1zr5^`^C#(l;ekQ
zmQDHG!$%F>mK-8}RHc@-e*%7lDb;5;4UdIZ><a79JW-vg7Dl?IKD1qfsqTi+WTrP$
zZ8x{wtmtym!_c`d(Az{vEfSn@k^}_HjNe6UM5^iVDNDD34X17Oa7bC{=yyYDEC?u7
z=kQil7gLcSbeCCwk0I5U<XzG2KN2_miJ3<8X<wq0BSV%RbDPAO|E3Zew-*-NH+bz`
z)8V_8o2~n;K2EjJO_hKPlUlZ(*y5hxLhf2J_=g~U`-W0_V=7`cYs2pEe5^!*U;nIH
z(()ibP5cVKcHG^iWH7+#wK^7xY2<pa-M<}dhr*ajb#TwLmYY|S2;CQ{4V@9}s7vK(
zHyu{Kqa|@FIjwXMU}I!Z5<=92(He2!?#Hi^^tKX20z%ssf{DG8=j`sQIrdYjSPmol
z#(7>`^?aJKsM2Cbi6!uP6CvIiygeL$8=8qsg?8{yx>y%w)_h*TD^tBQ?d7{mx6~I2
zB|X|_+j=Ja_9M`iq%h$mJ_cbwN#udlcs8)?1X#4sp?{XU?~#VjHr=<zJv@7->4e-k
zvumM^;^kg%kbj$=z2!t*j9qYKmfS@)q(&$qEtP+{RSp*YQCh52R<`EB)~S(n?9&Nn
zzT|reBWy<4?VUF-W2Ya(b)2Inw0LRK3{Ev^^91TISVZ1vZ&**^ET^$zs;j@2d?|2E
zL<47Xa@AswRQ=L3!Ut(9_4bI}MfO$V$lQ4Y^n=!l4W|(7ma%S_VejFiHZ}^Qvnhu1
z>Ty6~kJ4EhXnAf-BgMg@%{W!Psu2Rk<mVJ+geI(slc9VT2Sp=N#YFCczO0hsw_<~n
z0cLIb;vXxo`bmhZb3ODGQ}dMN`4S@f>baJe4IvrL!Z=t2OsSjYVMkms=nm&kGVk8F
z9cPLG*`asLCJpk)%9(i@Dyu-zpTzWX?m_`=x62)Ce(jkxowi5BoVW-dGDOBaewO91
zWQM?ECQfj<enLoB`P0<$d|JS|Wh;ESNh5tSpPoH>B5?nE4~m0+CM#`q&$3+2;G&7g
zN6`=Tnwf|D`S0u{y6dvqy!`#@Ef17>67WyovZ5|VFDbk&V=X__CppMZ^_s8WA}2R)
zDq$GvjvT8JVB+U*4pWNs7B)N>LGp^-6c*4CRzF!nn)5HP-?t20*1lzEbm=%5)L15j
zX#dp05K3ns6I5I2vk%Xy=UJ&!pUzlCIArU=Nf(p->uS_)%W-gEGM3+ehe=y)cK+}B
zEiNLgOpp}%zi)frM(Xx7RgGJR3<!|YpV9GGiY9^5N}-vwY6e(BsqB@lt$p|RNKyq7
z?RT_2s%>`(rqi7^f)_(?m7s~JADx`ND}zI(73}TW+<EQKrs>2+YGI1K+9PqB-@7e!
zHkqoHe}oPG&|_Y%MV7(AN&HL6p?1#1kC}tJ+jE4K?L`!8(UzG#UJ(kzRd&VcYbZb}
z4IBSL!*?yqN&!m}PGxs;uDWH}1VsY~O<F$Fb^*xCIIB&`WeU`0J3%Mte6QrNQz=mw
zV|2;Gdl$bDH=#P&AvS(i)7(V*DIGPLFH{^YuR~7$$tEIRq05}6Dy(lej{TZ~gw4V5
zo7{o@mXf-b816o?Aub*!^-81Q!K5eZSbnGz$6@N)+QYaUb1eerBue>}RtjS-ViWx(
zM!Mp%oFPZ}2m(j23Dut`u2gk0ZO_Zh+K#tx3WzT#28j6V+dBw|Ih01yCofrOD}zX}
z)>TA%s9`tw%5bhsTJvH5xeya_SZ3Eot<w$MX)M|E{85=ce<*+MxO=JBQqO~&Ll_b%
z?s^_7@DCS)E7m*$*ApybfiEW^|4<+bB57nv4H(;^oV<CWNEgM^;gbdZgh~k6;;95{
z&=^mTK1<_{9K*_W!MHrs#-L=}`u(4kPtdH~JZ5>Yt-xeQ_otN50FHwEGcq4KGq52-
zd|IY7Zas54=<Q+wl}zoKJ>9Nf<wQ&QG4rKy3)sOzbk?$g32rEB#)had8ziNuNr;L8
zL^R?HlJVTJ3_}=60-D6+K#`x1IlrM*qr3e>^7{sBofT`H1#5#9Yx8zY*}|Cz*^8=o
zZ8;O+0)^o~{-qsRCTzYk09YP1&5mawk%S?~;!>ztD}lpuBTTxd%n25TA!xD~B<&<6
zL_vF(PDHXqPTFM@<{s&+h9A1>pKGD!1j1j_&~tU3L~#|_7MQ@AZ^_zDu$=zkIK{}o
zH6k^ZNjGRy-8^b~cf0!}Ba40eb7q5JHR>XN+Nxez5ursXLltKG2L$4^-RFbFC>&^v
zE?257csY68u+^T=+_h%Df%zeI5ugskBKs}I7A4Eks6AwHMZQ?mejd+|x(=Bnw9V6D
z{{<|@sDyf+M$#-y+9735B6-TUv(D4s$};5vTl`Yupr<2o`2$k&O8N5~>=eQH05y!*
zo)D6uEg^W`8e4jn;n6M15SfKcE>5D4$qNG`8UrIP@GqSAYvJ2tCZDJWq-oc|xtLzw
zI(zi3OR5&1G1B48$*17>GKC#VnN*Q*=>U`GeZ28iZ>Hca_tOpk@6>OLzQkvs|M;L`
zk7a~~cqc^ugKBUjb|iL<1cq%WDIr<pIpMgBecZEHw8>UNI)P+2ci;o5UAUx=L3{mt
zInMn<bN86u^I@`IwE=NGPL@$`e${#lAj1(O{XZCTTa^3#NslT2<Qvy*f}Rpdjz6gS
z_qQG%WJ~Qu=&6|^1u3%=y>7l=m190LC1WT08~>H^-e=S5^ByOD!c%^AJ!c40$2~jC
zzjh4HlGifn62nHm+S8lFm=4lWorHNjJE7o)A5yr(Ry-!)DM4C;bo;`qCQFubLTX1O
zTe$@?Z)Bvg925Nm^n&k4p7uHtUK=cE#2}X8PGg?az7@mUo;MObcp)kDN|a*rlhALU
zhkDUDRezXVfZGK80ivab`VsFZHrizX-j@*S%u5QL>bDdjZwx0c0>75S*ACwMl{la!
z_+FIp)bYG+AM6#*+Lkm#APU6ve>TWvAyo8ot(z5H(rGzh#eTC*c#r}nJSdu8*kb1{
zG;CyaCe}%Qb3a|_wK08$zkfS!QE=yH;#x@LzI4azK14WnKM?02>$$tklMw|`(a5U4
zhla^jMQzhoUpdOPP^cAYsOlx(es!8*KN5ALZ@P<DEMWU&v%SKHy68R#iSXj<5+i$V
zGJN#;odDhi-y6Wrr;+g2>t-@|3ZfRrjjzTV>81Kl5vfCCft$u(NOeFqJ?&6hS<ZgH
zC2(u9w=iAKYcBM<<C4((Am7A-+<q30faHE#pxd4X0iCpH)jJV?miHEI5V7eSa!p}2
zy+_Xq+#Rue;NK{hT~IX!fAJpsL^mgf%j)zX6z=Eydrq9|<@qy!HmtwX7rl<cl*=ma
z!Q`}}4A$0OrtIi`px!hXz=v2Ge@8&TI+T}|)VNStD~0@A^`KH#R!$f&1N{!i9Za7a
zmy>|`5d@Jk3Jk@2?=hc;qnvCG(Pa&*{~RB3mVlIFma@FbFe1AAr@ZT>tHfU!%3La8
zIG8h&ulDonFgz!QZY;OF9B=r9gp@S=WrR|^28)c86mm{Z4oZ8j-2wqkdh4eb+gO!t
zIrL;Dxd-(pf4w-i+4xs39Ta|QeAgP^*Ade$Gem4Th#%Pa9z&}xck_CLT)Cyxn`0>p
zhID{4_&{Sa#@Dw?4B8Na&a%X~SXfvGbF~Nd;~wjSqg&3Pr=N`nnA%b<6^er`ogoXe
zZVyCNX8lm4Rpa+?-(u1mV|gm7iC(in>heXKM(S-nwY&bf<Tk_!23k^EkyBB@_Gc;!
z1h++b#F97-T125rj5VN@yx=w)_ywExC}{fHU=RA#auPiac6#Zb>g0&r_&tUT(>p+c
z89|)H<*N=vAx{mw*#IuJ_`KiYa{K*{lfH3FE2~Dnw4qJcy;+wR;9f3|HwW$byK3x~
z?q82<Zx)3LQVS=Ss$Mi<^!g9vU%B-W)F1z59mee}b6e>MerT{;YLSR}8Jj-yJCSt>
zQPlhX3jR<EKJxDU<ClZ)b3nF-A8!muxb04J6Ed0o(j#{9_jKtd)Eq>AL(HaiNVhEY
z4i4Gk1|86sQf8i3E$P&Pwv(+-z4wm?I1L`w<5l;=UdE2+a>j_6KIdpY9i3>iO9G=-
zcG`o`TM1mKpgcHF(o$1B{ju>ZAj}CW1z8A5**@8+d2_;#wT=H?pA&%j`2Q|`5XC;0
zZ2aefkmUg{;(wQ1^rM0O-<A8OI|qlRQnp-+jUm3@D}d=cj5Z!WvKwu1_v7-_kIKIF
zFGlWvPMW-ic3+KaORo<;cH}p$obd`Ukj;?EpBN5cco+KB@(jz~PLyi+4W+axhdm4%
z@!}=i^$qy{`DR#sZw}5s>ick5eek=`$BrZaR~O_({SRb0=gAWNInYbL#0A!j?k-}F
zv7GKCGPEn(=GM^Icp;Of1~csp!4?#Ox1fDh$kP!K5edzK(HH16y4pz5LjH19;vyZO
z#I>Ek>Wd|xdHd~577rs4*(l&a*=)Ra0(Dz`@4P_UWBNl|8m`J4(A6}ruy7~)M`!=I
zdMjag=C#q#Xo@iU55GwP&TWL}(J?VGsGyT+m{SQp379DLU<7964HbSU{){BPo9;z?
z_}a_sCYdgVrJx)Pq$7mY>-u+1OPObbKCHD}Ye#f#X0ZA+Fs-cGbf&^AGT_17+z*UI
z9D^#EyNnCVm^xPN75k72+A5jyfO>Pdi!j`F$h<NVoC;U4dJbN%vgYQyxikTrQC~;O
zcmKYg4R}34@Omxo<B0S+uzJ70+uPSjZDJSmPPcnv;9j?PU=9!Q;4UXGbP%?`zu)*>
zk$G+F@82-O$nN4cnldh+g)P|R0(zF_stD9O+uIG4-wF#cX;6H@Y|VQ--nr*ypmm!l
zSS%^fE83>*C47Fiq@;wpbv5U}j0YNQ?z)4oD(ZmnCw%|qH(%E0VrQMRdEAxvKm8`r
zGt8iCfi#!1?gxH1b4w*DGX~Lj?wF}ClS$@8g@?rLDl+PrmyuDWIXQHj>5aJ4Qws||
zz3w((<e0DM;teg2h~=E_4QPGu#%z!LXKrG`<)J^TK<%eruIJ9yL*0JE4$+YNE2!gk
zE$xW9M3FKXFC6V``1%{t0ma13jPU%z!d?y7h7-P_OiHhh(<37zqWJZuj<a)foV=B#
zDKprT&qS$Rs7MX6-)f<=A-BL#PIf?F)}+S9MtwK83p;bZ^suJSv*(kcT5RVQCY%pY
zhnk^`j1047bObPF0oQ^nRSEe_7xMQf^(03$^i1`x(idPh_>Qn<(SzTIhh@}eL{}O7
zR+C*ryP<8dplz|E-MELTF|1w!m8()V2L`~6H*<>(EB@rYA0-@9UBwV!_2jB!Z_I`N
zdsn__sEf*7Wy>d=kI=8sW|Q5GQY!c50KHtJbu(a44A3~9biR#r95OaJAt^?G(s_7z
zvv|>>=)Ls73!i_v%-`k<pZ@^b>DGIkY!cI9v(j4R+SvJk_N$*bh$4r;)0R}mVZya@
zgItyGL3{af(AU^-Q|-6Le}!vrG)4PiTw*7(WH~WhXgRj$qaVj_nqv{r>(&mf#n4<3
ztgg$W0F{HT!GqHRlP68BIDv+Za1Z^T8rx?;FH#TE=MePBQQBL83aHAaeUMg>om;$y
z48w`3{q}C|52g3gol0*-1XZkFK#Bglkv3$!J89Pzckco;d#Zi!t}l>m+7`ft`zAy7
z8;})Ca|vhILMs@t<rfVO>yNY$cMk|6d_Ht&R}6Game}9jWwV>DV&2`}o*e_DHSGe5
zpgz3u{Y|_bb+kN)K$Ih$O13U{G+5qe{>Xq5#yr0CqBA@W41)ewfD5=QeSrWo5xQ>>
z9QZxlB)ez2;T}4(Bwl|S_sISA_QfsxA03uNTf;!qM$>by%8<3v3@7wju))8Z-UA6i
zU1l|rxIcjYW~7ZT04t8s`G?X^pN)v=?BdjCDWg7dknz9Y>I1$t`P#x~l%mNo5Qs`H
z*gIi+HloO8E9>`4;aZIG9wLX9%My!z4|mAGwD4jEep{U%xDnK4{A^(^L2h-?^LQqK
zXW}p3)6=Rm#rN-`a0p-dz~{GtnillTewx#@NOz(uy)0kh+Z#2XSfd<1IUdVU%#XP)
z?mHd56n6VGSfsk0b*6~=(PL(|+KPPj$Q}1<M7Ob~?P8P1i)|&fyGDcs^YeIi-5O`G
z1&mB!M&V_P-)%1jF+*7Inrz^=1{_I_WZkEafF<whE939D)qBON;nK#-mjZ$iIX=~K
z*u~um7}vMRA;P=0uJ>~(V(>|HmeZG>!RwrR?IjS+BY;lQqj_pu$>st}!fq3rLuu7U
znGB;_r{5LwMpx5sE}%;Jd@AwNN5o*1i9~$=7a+W)&Mq!CsXx;lzq^ZyuiyB}xv)^!
zSjm_}!7-OuaH9tVtqKVKiV|ZyYU-f1@ZqWZ9_U}Lz}qQYt6Uf`g#)x~tKi6K|4)jx
z9}x4j2%Oi9@lZ{cL@FNMQVo`3UofA}@tsB7QawD=%QFB2&hy)phZvC)Az@&Hp<&3_
z_3!R3mH?O-+buk$;?myXfGYXN^R^m#HY6v6Crk$fElC)DUkbhZ32nxnerZcr>4pew
z>{L{Kywmr8MXljGcO?v*--7HF0=+KI&U{F%0=yE53e7%EtG0~sq<X+Wx!`rh%RdRE
z5xoaP0JSZYEP&^CPt-Oz$$Rw5b8q^jbieVS1%fdf*2k7(W4GrB^YPgQEKyjE2WWYW
zv5ahD^WcG&)6e%`i)J&DB3%1u(Fon)Wk4<Sjms}npx8Gp4?z849Vp89<yuOGMiEU4
zK$%)ms1S(^{O-<L{f^-#PBcDvZ6{5!!}g+}@MjBM;<6oQnaa=uSiRJEi32bU<i&(8
z!2__&H`7?XkHuyDeC843ILaejvcOn)nAc#}O$!tEtQ}c{h5m8%CH`+@pC#03|0VB@
zHc5!?RH?yI=D>#U?ARE-9(XA67o$tDZ~elxM%Hk7P>th%a3cupXt8-sUURe0-h`&X
zouR5~?9}*p)#6|a@_eR3-aXHDI`EC&jioTFkvqTNq^LIP3`vC5>&M$1r0W7Ba+b3-
zNFSfvZ>r;;+~XT{)L3|gOoJkqrxp#AXyeIhzdR5{V=#&v`4;1l;}?^14e}Ch=b?yh
ztu18~-?uQOh??dzv$1^TMUz;unnmFY3`6XR*0tCGJ7+hy2c)tWC;j7Z|258gV=3CL
o;}ZYB=k`BW?Ek%=p9de%5!_Z=4Sa0jkDaUKWmKd~UK<AfAB01uy8r+H

diff --git a/articles/prior_pred_checks_files/figure-html/unnamed-chunk-5-1.png b/articles/prior_pred_checks_files/figure-html/unnamed-chunk-5-1.png
index d8b39c0e362c6ca6e6c393ffdb0838d3729b9826..d84a2d4a91f75b868e533a2b81e53d1dc56f42a7 100644
GIT binary patch
literal 57342
zcmeFYbyQSe_&z!`NC_w%N=lbVhtjPe(&f-2-CYU@2+|EIp-9KjDKbb)cgN5nF*JAc
z`L6Hp{&)Yn_rH7Al3DAVnRCwG`+cAHd7gLs@uh|$;XUem5D0`&SxHU{0>ScvKrqa4
zvB4Q*^br&Af&ErhQ4V~9<6O2e5PaY{De1dHAavn(|IlLB4lN;&M-XMX=dZmocjmnP
zEOfGNZzt;E`SCs3Dq6L}bDRFA8wws@<J2+re`AX&Loq_C@%N$|ozq_7B$0?I*G6zg
zJdGI;+1fZuMeB+?7wZwZd5~0srOYwsRwdNTS}4{k{gcCZjycOst6N=Xey}T4alv<+
zCnt|b6cw;npM$~p{~!Oa&cI0ep%^5tdw6v8b%IL12QB<;Pma+!iw#Zr)n9KGMggCT
z40c&(<60u6RUScv+wt*n(@gGXIl0L6X{c!W^ztvH7hRAV6~cXvx3P4FF1Ab8hpta<
zV{b1&DozQL?4#WMGpYN0h_mJx)q5EOoFv^$@J<147SfM%qR37RnKpy%BQYM5xVQPI
zdNBnxbqDP2oRFtNLiKHgGP4Gk%4I8QnCxX3sRX6ld#=W{y!5fH-P?K!Mfaft{M_Jn
zX_R(R@{n>9oJWlF9MzY>FQPng?PAw#?4s~LlQyBtczSxGpAnUJQ6A}+t;99qz4X$Y
zzsGMy66dUK$i>Kr{$T!E=4&S>qr8&w0ZT6{>BkcjoX3oe0-p-G$w|Nww^Bgg^nXt{
zmI|K9-Rb|1IP`o{!VkU3hP~jgQhW%%FW<i-qo%wk+{KlMr{lM`Kgum5`jD4O6NEj}
zX-dpi1n_+?2@_aJGf^F_p2`KS&#=Lz>f!=z*ZE*}b~dtdTUbb_Q@e1~G$wLC44iSa
zK&J2*Q~ND_pg5)9w*GVdqoTsOVi4K*C`ly?7A=bQ13MezX2QTX@X3RQ+rsbJVj{1v
zMxJYHYpZi4O~<A62b6i%mo~C^Hd_ePJ0S<M0!3Y5SEbu60|t%ll&;t>u_TDDep4PL
zfoFBaNM&y~?6!r+m^hSNTRJ-KPo=rH+^eR8_h5i=gsglLy^njmcAklzrOPPr%r5Fg
z*i{aC*5WerySS0;<L{G0uPgWQX<@YQXz;e2;7b)1m4+I}g_~jAue6>t(j=EQ@7_g=
z#T*eW-ZP8gXEiUm_JpcgYibVOeqzKXVSn+#gV?p{P(#L$z%Eu%-Tp9cl$?U?WRcsb
zTaJ;00294R#AwvtpD_-Xeh$J+`mq)S&=>x7sl~g?J@YTEq<B@CNuMt^r}-16oyB&(
zwKjm|V3}m8u^NI9RA-EfU{2_E{lxDZ&A(7JzE@gQ#5w3NGB-Dupu`-Kb}dfu%I_vl
zk$$tc6dLW#S~c()S+L!Z0^T<QUPD(WNl7rE%uJf^@9!TKyiW<;+uGiqp^ELIphY=W
zE4g`kO6MGjYg&;nd^S$L-rvB_4GRmKD&3aCzN+G1r)Zm%V|=wGGVq~|5w@FKx*d?6
zd*cAca0*_%dfcRU$@MUP=ff+jtZmvZTg;13{KD36>&&?Lk(d87*;aRxeUyqg^Ixm^
zxWMKw^|Z0{QV_OFg-BKZDEBsOMMS8rq|KU$ULrN3^DQha3R-OM*McI6>f~{v{Z8T4
z%D<jGJUsjptg<%-1_lFse14~4ZvjG`r({9RQSF<$@<|uPH~-4;DsmxwdYLgF(=pih
zV)MIia1J^pR7z^rM@UHM;rR43XrCgQc%NP2QjMd70}nsqioogO^3qU%P=~Z!+;h+G
zS)9_<C-`Xw(|hrqo2p_sQz^!x$iR7XbF*~6#HZ>;&;0<=I3+)E5WP6B^<WGJ4Q{qh
zPcJ!K3UhDhw4hMvDDvnUE!95S+mSJ@PBKnu2j|`T+f{)@^TlQmUfQy|xwW;ZnYLI6
zSVemWhti(&$vmyX%VPNL$jC^Q5Cea#N7hib_Ln0SIfR0J#f=pa%izMq6e86WgbT5i
z59QR}-rij}&mdAKF!I59`P?ByuIK02XHuG%dT*o8@fNGbvxi1Tj&j+uy_WBr<@ldY
zWq}`vnGrhe;kJ^Ium{{lssxHR*FY1+cmB2J?BV50L!;k`i`+yx16PfHb>Cf=oa(SP
zh{HQ>1(Gq2PfobeLLiMEyVKI6V&l{O&?yuph#1dXyC1|JJClbwZM`zP_`FT!&osM^
zI#&*(j3(yR8}@i6+&#Ni4jmD1D|&N>Y*zJX8cG|*$fJy%irrbwZ<$<Zk%ltte|2?q
zgho-RmE$cqZ3dTLsRXU+WQ(E1^b(UVE>Nc96B8)oHjCvZa*+<?k#YNhGGUqeDM0m3
zd3)!u>E&v_KvNtd+Oyf0y}mv^0hq^-7MVxoYa4?{LkOfT1ImImaBODg^5CVkszBOR
z+sj^gxv+1(lx8k7P<W?Zl;u6`kXl?2$>BkBknw3x!iq>}$u*{v;reEuvn#FjBk|pa
zJssJSDri@XDH|zXl`m>9rOPFHNQs&BHj%P`)jSNVQpoyEEXu2NJNtfY7em$f&3!$b
zQ8aj(kMIIMCOU7|+X~0JQeU5%A^j>V^)~l8`O@uqJc%6<jSsq)44*D8F0dcXPzIpx
za+k)gxw5jd9X~ucI9QkvK5#TB-P%RzYHM|xsmFC{HQ{cJ?kO7MD(~ruI$HVY{!Q(_
znNYMpBpD@7K<#f2A#(x)2KjRIANh88*s81dn{l1ntQ=JkgI_|51gbht6MK$}(@)`y
z@)i~i;c2s{diMNZYV-<3SiGWS@7WBhIojFSJn6mWqmRuY7{#E2N`mr(Vo;KfLqDt8
zZfJEgMl}@_6ddTGMBnuH_p?;!6_2^k1-clcY$x1_>q}=+u49imvGicQ3X@|>1e?pp
z*mb}6Q4`Fhcx>cRSizl$R1{j{C;kb@?L%Bl6A$BwQ*fXKqR+o8xt>8F5P|<}ZgZDK
z2F#$2CD#*6<Gswx4QSE)vL>`>pl(Z;MW4G^HS=P$K1Iv|=(}Dy{4F}fde}r7x13j_
z2j=15xjz+@p2|F_9qm;}`{J)1H>v3}31c=3$0y49T3r|VTztcW9E{(5Q=^sbV#mmH
z!QfjS;~aecrLCpqf@%-N5ym*Xz7a+b&2=__NfSsUDly-P#mIsr9mPwVK<9ZR`F6E6
zUyJ>1#bjukapCK&OMn}*!ZFb3ABBas-lnDtfi%#bAj2SGHqwvC?n3Bl!(Lf1*^#pZ
zZ1=mbudg&3fz-M0*;4qWa%|$c^<s@4R}FPtAEoO<KH{?~_$kA6Kp;|ZP$FStclYGo
zZSIoDKvU)>n}Xi8^A|ilr3<v7&+xCmmJa$aQTu_$R&%UoKjz<QBP?=s8MQJ;$&0w9
zRHRzV;>M@4viJ~vm;r?6wkt<&S$yJ+Aq)F~=I{L_gnuC!85_dQ|4V_O>9=XiAoEFQ
zY8?Z+-RB%JxW}h8<M&(~X=rG2+vMBMS0oWJbmAUpW%f2UsVgD_V~EsRbZ2Ovfmz8Q
zQWddsh(aA7UtvItUs*&u7t{G@Pq?cB25<{uX+x5J{9PhjVqKz61x2`=>F)dl;Frr(
zoUpaKdrf#iv&f_kMksXFTRDC+>^`^3KTc@D_HD>!v(&ipln6ddrYYh4ggnZBj`Aq3
zFTfG)hSd~}Ar_jYz1R&9KwicE(A+L+<lmY9r{iAQ*>UI0S@*lNzZQEg$4u--Ea<&k
zF}?g0khOgFc0)NpQj9o~?9i+LAdLY;Cl-%!l`Llih_BcZQ{{>r*lk-t3#5qZw4#ER
zVoBj*mcUIxym!hm9>Sp?#Ab2Er-z~MJb5;;31GXzF%{XgI9<-!O8M9f|FTn+m;=P;
z{htX5^=sy9F`&^iUMC(WgLvNGo2*!wSeZldA$&A~|Cc-_9tN0>Pxp`zk@Ra&La}{6
zB6B|tj=2BQp85zfe~V;Xhn<;(DsInwl%9e24yU5B><-A|0Q4`=Kx?e6q-Df{Zyyf_
z{*F0$Z{6qP>zkv&OuE}{R*v?EoHh`}SA;^Ng!Y7=&!SO>izoA29l+ne<`CN9#6VCk
z@P{Td(Tcfk1Xhg{zP6iOxV0(KuVVeIk{@u-k0nm2iTdne(2B_IR>PhW1xFXm2>IH|
z5D=z#VY?`tiIIgqb6O-S3GPyzgA>}WST*uL_yXJAuN;xeaXiE=;-%{4m$UF0l8l~S
zIeckYTvJC0X5Z)?N74ml5dZq83cVfjFA_;A{_aiU4t911+YJs2=|V7cS^t|+ZOvxf
z*|apee@&I+Qt{`Wf23In2?_g|-t(V5=%XZ~v!cU@KJKy;qds+yHwFa>5^!(v=$uD<
zT!WgLdfnpQDY37{$?0hTJ#J!hatoajOG3A5P{0@RI!*?D>$Ro-$Vj~D9T_3}Gl)up
zT1n8C(X9(&R9h7UR{LL`rc^Slf|cl!x|>q$0AjO}IlkG`v{%0rw{(~pM-;!#bwvLp
z57{$kjh$ZZ0Q^oG;AZq7@{&G{aT<}@iWTs=P&9!!801T)bM&AtnjUPQc1yO)xg{a3
zDe*D2bj~2E9ZDzh;NEp~hxE)$xB(jgTEf*!JlJDjjw46)y%!ViwT-3XdLN{cRO}(A
zhA>ArV^0L%rGQk<{&vvH(Ro<0FF+KkwtfITA$_>nJG1pi`mo)LJ`UZ+QeRuCw_%4l
z|Ivqkns@YJopJ(|)N3GaLH9?G%R_3j{k2xiO4I+Tk5jPVk@WQRHw18u)`i;&^HXld
zkzVbzK>Rg&tJjBCoAg%0h1^n2#PCjeHN1I7KsWs%lbKnbw8;H`^?|TmV&e&a|EJWS
zEXdOUVf2}BmnO=@xcX6BTMJFKuSFLRx;r)U_wP&Wzu*rb1zmvY;1P&3uAc7Bm<k|_
z(9NRj0qn$%0r4htk(BNw5l{g?HKnq8J-YeFAmf^+)D93eG&ODQ5d*Ut{`I4&6F@mC
zIFnSk`<vce-2z_MTv}Mjo_RhAL=5AE`z@AN(u&A;$)i5OkGZiry1KeVSGaYST`_cl
zeb>bRe;9%<1*>KRFo-^JuJ<*ph<%qqCPl2~OuxPE?-R=2=j^(cxx*ZvflSdPh-wNC
zA%F|cXntvQB5J6{K1e}PpANt3L+|M>CPZqKa;(kGO9^`E@IJ3cg4P4Y9>yrw@oB5Y
zC6WLNMy=I*yY%Z`d!_>0+w@lPh1~SBckHy_@lw=FS=kO+5Dm<KGnAN@qxm91b-h%I
ztxmn1ei697um%X*tG3^7E94QWuF4c{rdXpGQfA@@`-oJ>69BhcdR<Wpxp8KEXAZF4
zv9=e(gfp4|bSXRm9gEm*h{c%ld2tQ-D94!E80#f5Z&Bh;;e^LWF^Ml>TXGHb*R~34
z!h#?oGqEa`4M?A5P}9?2bHJIZt{zGkt%xM0W&C@)3?9ENh_$Nuhs$@8@@VZ&&K>sb
z_e_kAx;+Q#3^()ng?K>lu}%KM?*4x3{>CejmBTakw5a<Go8b!VkJ8jwi$H0tA9SBf
z%j11nnPYuo2s2#(Y;5H4cV?_B$C2v>DBMl242xUSR+laTi7;8*>hqZZ+POqMUrQL>
zI=*!9?1@v(!hY*YS>W|HKGSd4S^F!wo!pj|miB#AD}G(baeWopSzy})C^aA$uXPtg
z`nIki`T6;4Qzq_=0^AR#CHoE$MZT%sxiwz6Kxxa}9jqU>8&D0UFz~{{%`xDdg_xEh
z*M}D@)c;-n@6WwN(*Fn9j9C`(zlTz=z@2!%J8aY9`g3UZT)UiAqAV<2f%s-uwy*f#
zFaCe`Nzg4EeCdEKb<YTLMXRK-SOG>*P&Am}0Lwx1@THB4h*0A9;dBzZ51~hi09PPR
z*`3-<@K#>pZtQt_EXuX;vLmtk-~!{xqs^LALHe#c3xT<H0xjY}lY6b=;bqEVl{t21
z7Bh@t>4x*NiAWVZB4z|pmh{)t2@5g)w%@hs@2&XF$-1mbI13}F7c{MJUMvLXQ*J3&
zFtnbNEleL5PnduFbC!xXi?VIw6&zV>13WnS&#FOfzoHY$XK}Z!ThYIPqR*56v}*Qx
zTv0MYL#`l&c@aW^CVeVG9`|ds(wkg_p}m~`N$<G@Lzu5qAKUqQ0e#soGLk__+)OM#
z^0P0sUn8Q2E=r>Kx{2TF;k=K%IKB-kd%1o|Z5q%UK>Up?&e^4jNG5Ob-G+gJ6RIo-
zg!C$p4CamkSKt@;k#@1YuBJDbhQgol73}CEMFPk5Kj1o5GL7=I^w6|(62;QTh=^!a
z-$q$jSGaS0YnKyYnc5zDG5WJA-g6OqW8ILfKLbIG0%)V5x~pE*ZlxUugf7&bm7inv
zEF(TIEahWhFq?=eak&3}LwsN47`x?WkAh9yh$M|1{J?^1dWMd^>=yl?bceAkxZo#g
zkLp#EpHt8t1yOuuJ<U|>Qg-e2bzT<-qlxeRlf|SL)eeTA|L!$b6!-G{6UD9-kdvQO
zTnMu4%9b*b5^)+0^PpjNT+Gfusk!`S6i`q(h>U&%L#oT@dem^Ot|U$+J)QUvd&aOS
z6Bv1Wy-j~J+PHu4qQg=2fkevX!qwF(78m2ldyocQ{nQ4HEtpMAjd}GveTA+Z?D!Yh
z6Vtv=x&tK-8RvLu`{qvVXOC(IlnLI*HK87<9H@L%PI)+s-SoK8<`tBRZGhuDvr}D3
z$BX@J*{h39Nr^^e#8(UY&Xk7tjxE;}%2E1q2sMy>3c2tj^;Kq1>(?nxom)Ou3`w(C
zxHz;LIfk9*s&;s10yzd6k0wz}<NnS+Cd@$yS_r`1n`1Lq_dfPN%xo-Qj{vL1yt)#S
z59e}c5>@S|tF{+)jAwjELPC}CcW*FWd5;>yn)}Ckw6~5Tt0x-4Zw}d}0Qtm`^*2kd
z*!xZt@oqO6<E0~PLJlNUWGr6t3d6(RJWjeE9?xZ|ki3N~8{((8Qi3p*Iw$?PC1&2t
z7e7{uep)j#GA@6u;YOOD8+n}Ot>1eiltg@Kl7Xg?W!xQdF}%ZwqlGH3$aVe&y?c?U
z<QQQyZ&MGC-4N<^28XUNiy)Q?0UmuS7E)?jg#zrIL7Q!_-QQT8jOSl4%l=eUyA8BE
zNiSlgk`W$ldF!OUDzMq^4b5!Li)j!4l3ZlF-Q@i?1l%|dY7l6R@yuN~&24X4kBW17
zjmgn^G1_}<GzDkmDEZ0tx`t%+Lx4%v*I9%B(RX(61bfqH=&qyk;Ff4S##H${q<?ts
zLHmhqwwss-<06&lftM+eiSI~k-ghnYP)1h%bJe<TtXO@<!y*Egi>9p({Nnng<QN_A
z=+|H^6f6i^Zp4Fql%(HFx_gZMP|S0p_3Hn&H7o4OQ()PvLq_^DBI1vpsDCX6{BsM1
zv1IOYohJ#Am{GNaO0htq@q@O1vDNM-$*nT-%sGjR52-ZZxBG3S*iQ(>G8^kyYw3ra
z^(SAZU#h4<pnL1TW@Njj6~JTv{eZ(HlP54R{lcm!-mK6flbo1Wk*iZl;S`jY@}-Ti
z2gX4F=2)MrBJ0gcF%QJU1iSt|XXjiLG%Bx7F4&6SVU$k3w4L&^4G4J{=cg5-Yw=`T
zeDK!+J%k{$xjgw`sB<HB#MZUw2`^Q#Wp$$6LU<QN9su)b6;*4Yu)se9*%FNcwdztl
z_%yvXKX9$Ap|oPh?GkcN0E9|y*PQdsCTAH7R{8bW8z(RDXV%t*Q3-|mCtOh?1I9g@
z0*u7T<C?TXbXRSJ9k@G}il(NL4qe_RwL|UsInZ*J`p$L0K#tI!xpC2>?(lkbk|5_7
z>4#&br6}qiL<Oga{QyZm-F&~0@u73q-81QfjcI}`AxY-as&iLOX3MSwNFK3oY>tqw
zE2a`-3gjAuF`fco0j<4hC0#1UOJi!YlfJ8FZ>l1KiXYAg1p+d|@5UkApq`QaIEh(n
zV}*24YUGGtG&FV;e!@&;pyO(O{h}w}ouBUm5Y6H4Ga-~mhdVn(RywqvRNtV7mOlRw
zMK1A8ll!)dLUDz%cqVa1+v2)14NpVS1~N@0*TIdvbzHGng8OcL!Y2OKtPy%k27w8+
z&<k~Mky%goEHqTm**r7R?KcoCx;p5uS`&LV%P-C=4oa7($>w}xKg2x_(hpy1V)%um
z95B?9ZQ9xho@glTyKI+Rt-A}_Kh%D15UC&*hxaz#kM<Su&go2qIIWqrVUA-#u)C3c
zvFtskbfuS3Zd-aU(UL@lcdkErzkA@KqJ?<X9w=nST)0C9F%)~|%a|Z1;<}*6=_+Qa
zi3R>t2RXV5KQ)<dm>1wzqz(OK%DI%@4}aHG66rpJ5dIvagx0M|fgShuZ)HAKFBN1d
zD3;7xefG;FK6UTeN{qimZ7qY@Goj#G4AazdjL3)xHR0V|qS%>1D{I}s;zt|3jtgN)
z>LfQ!P+oR?y=N}!6L&=}yNMn|`l?<?BM*)s@s|Rww!RLy3!9wJBHZ9+WpME5_y`A$
zws`IZY=U5Y|B7;Vw-Ar;(ZofGd+KPt$f+7vQ83mq!w+nn_{X?=8pG4)Pm>pxQ*oR#
z84mhuuiS^1$<pMu+Bwn7m&OI6uK|dyPCdl@=SP;>3;Etx+Nb|kT20mZ<UQR>fVd6b
z5)DLpST9LVKf%o4ONk%+`pOuJJ877^`@N;XD*mZxW)rWdWEU`R_H;d`?GTNExz5P6
z1*CT6F65t_Mw$!vg}a*;euW>gPKz=8R^IzP>09v*T?0F&<@+g`E1yv?-1D=VlsXI<
z_;=i!YInCMT=~@y9yj{u=qBO_j8R?8GzxAy^U%X6ov>8rvrRjpFqG!mbC4MYq43=R
zzMMY;rD^(U6YW+mB{m#`^=UQ2>Sv!y00(-bI-zW)@!?puYs&q+tXZ74t4;r?NPjHx
za=oaY_KJ99`tWBHeR1>LSN9{)YL9?$GgIEbAJ({HdTg=$!nTGXCu`5Y#XXAq9QeZz
zHKo@wNOsbipT8Z_gkWEOoMdyq{(^`C>exMyE#`Zb3yU2uO6T-i?+i6V^J3fHzamA=
zm%F;e@GvrJ<;{kjm{Fj=PQgwk%c`T9?<vpGA2ZJmxPi!EAw0Pc^6|vKfcH(Va2(X&
z`Ixkns@xDqCn1$NY4lvDFvnElkg+=vD-~zG6<|N1_yPM~z4u@$s`X|7JF`Xju&(}b
z^8(Wc3?e~T$8SzqFkv4t{mbf77?kw0{p({}r93~gdF~@+ObbHZTVf$@-jB!ZC#W@N
z?Kd&;uZzeRKu#7P9-hwxYX#L04dYSi*^3BSqOH>h^cX~rl%W}bKtw?88yTR|>Hopn
zubdek$4J`jighc(t-I9P1NlH%`rfVkz5J(hUiqg6M_a1(7M6)U2WAW}7?M%Jx5@_M
z4x*(l@3+Mmt38b54Uxo77me+HF`28S3;ca$yld{gcDADIh$5s8KN~eGsgI?LaAS)h
z)pDX}Qn55YLLdKU;gjy&Z5y60q%U~=BE)e=lo|<$;E@?X{vH81S>gMNQAB8c(s!?B
zUn&S5WKO2L;9QhV4>B(LRnv`~nN%J_-az{M2_2f=&{28x9S!1avG7G#3Uukr1B|GM
zKgUVO_Lwy2soE5*tEie=6MOxjUS0X~{t@0IrMHgjEIM0lenjD#!_$XQzFX{5;EUK2
z(R-zRkq$Z>gZBGz!T2(<GVw60#Q)6QenSYXkA-(hn8d8KU0rCcE2y4B_f6;ne2A}=
z@n2%Ci&wj4tKPO})Za?tAP$S}AHMfF=sC8E&tW~fZI4IbuCXNC_T>ufSO?Usm$AGb
z{BCk5O`vgmqL*=?iYNT_rGQ|l&Sjc3O?s*!%;iCnR$}iEPStnv@B8ep|GT8sNYn1N
zEZX|0`++FX3@?BCXc%ifP-!X)Q}s0TmZjL6_KZJF6Ag*pzGH=!(*fR>$N1seKb;e<
zn4~pJKDVwm0pVXXy27+n-<SF^J8nCL46S1>A2BAV;hChhJbNcf((&*!52D2mv5K1S
zHxSAVX?IZ$qX7vqQDp`K=AMqz1Wj=JbYnj}L3pw+vw@E#xLtMo$aYE~aF__B#7OVO
zz({wsCy2ByrgoBNsYdWP2nA2kN_^6*b$Qi8@!Y^!>SLO9xsJ@LA7SGOG@?+GheJwE
zFA&}A_~%}`m0}tW1N97DrL1XJLff^O>9<UgYP3l<pEo&^F5Em^<eMZ=1@DG+-ur{_
zTB*potZa_`HX!qV_5v&rH_cQ9-My*0Z)3;GKzJ2XN;V%f-e=$HjJD%fm_We9wTqSV
z7VBbj0%Zt5Z3=`@N|w>zmtwY|?-|N2{yjRu4<*R^Ie9qz*kf;VrSlqNXIoR?bF~Qe
zi-7Qdq|#&gXj>rA6s{7)^fJ+sg_Foia1Zwb19-%74JBJfF{<5-JLWQK)D8F;SH93U
z2}qXgi(u42h6#Hry)51nvd;gciktN~=YF^G6U9Rf$R7HU-rROOPq^E8?o`4{UzAN0
zwW~uVA<fhoJYJdj1?X?jgc<ho6^FVN276Dr1Zt-)@ITc_DYtrqh2$z-ihuZO-sy#8
zO36>;FH84K{<6q?2dbfeZF#Jou0n4x>)%;Q!sGhBY$x9zpI0<Q`byv_t%`ukI+6gD
zO3E@Cd+>Pi=qAou{$oykI1Q3-{O4oPQKotb;~NOCbmh!o^l}c=Gg<y#Xvg>6Q1&)h
zSR>#80KU=qIAI7$P#WA^b3u;#ndM^!3f@?Os%Oaa;x+tg55MeFkLz!iDkFFtBbtU2
z24>tcB8$+9ZU6nbVjaO=V$@Yd(<e|n4xc^(Gw|Z?use|xDd79oCe5Cq{ai70LkU|7
zWy|+LH$G|lb5^>k^oj32d3w;G)BLyTT<lW8{k6l3GS`*yAnV|d(J~-*t%}?KecYMt
zp^97KIFlOs`76MRf&M=0i}L+l69f}@<NE}m&7QhX<qs-tb6y$0u>G5o<u7EPh2I<n
zxM!rw%s3??6XPYRQ|hY{6&bR2N)dmJhcGLhRi62_mQ_@}b5Z4%0L$IHsj4Ck%B|58
zvFXT#d?q@qMT*jUT&)+n8)6DaI`u$Z{iz)5;{QxWWFrqJ<M1=IZ-~EXst8=jn`E9y
z=w9h7#P_|BsoF?84l1$kE9#-+L^7VT1@<6jem3E&S=gum#CV%|y0h9-5XnB~D_r!9
z)J#GBiMXL`P)1X<B6xs`s}>kbN>}f9xtW%OKbZR&dbQjeI$#rlmK+!NRQC%?qY_Fk
zJFXR>D40{_lwdE_aX7sh&<feutS%2&yeuzlwhc07d_B!qM(ywG3avHWd)wzLbgvfF
z{QJ{2#h5(UxaV}_nsLIeK)3!b5+H_gzXFWq@EIcs3A@+CI}=E8u$#EHX{mL1f~ALj
z>I6?==RS?v*OFhGw^-a6*4|VpN<4SZQJRXiV$*%9{)t|y!}bR*X%X#C=Zw-qJFNM?
zf!L||i-^NVxtSI-#OyDBg)w1U*UwkUfT<E;&MK-(aNYjJ=bqkV+g`%4^v%-!J$h*C
z**WDxU`4<-Bku}nH=y_h;WaTMd`;MoXj9YSp0PD{3L4xdP{*N&EC8&cfNLZEDJaEy
zH9vhLHB6ph_r_j%Pkr&+XpX<5*9$!7vpxm^s~1wPqf1YhRi#>@t+O{*G_-J<HFK5M
zX47cJ){OB9So04;cN4C8INzv$*mHmA&mv5?e@C^37UmDa*OtXnO0M8`I9`ugI8BV@
zj5fiLVW@ro-7z06m@bR$#$=2rw4W;1qltz4vARE1F@R8|d${y2K1Gax_;2O88W_r}
z5Zy@A3)^X!x!o9&CN5Y<kg;A>>Q94x%hDSP5|XrM1~q-*$1;KeUFBS$Er#Jp`>LRQ
z8fNP_0SBu_E8U?p)m`td?a7t4`K{^qU}x{PE7|TECGvZ<hslPekwEh%qjqFYMd-<S
zawn7aPpJhZtMRZx9=dl=$w__o?(wdGq)(&PVtDLI*ZAa(f(V}wuPv+xeN-NM=5R{F
z#Iq*l5b&7CmDn9gQ=&=MsnjZ=L=@an>qH*9=vRXF#tqgKnri(;=5c=dt={aZy=drC
z;rR~1$MgMsv^r4})3HBMu>fpgAa;Vj5)ND5fAdVeAIzpAQO){@86fg5ex>u3_fl~-
zal(_#Tf5Md-#jq`+MI5032hid&zFJQxWoj(GLk?luQf}H#F*;NuMh}n`6a%F9R1)*
zb7(0s?^JmAjuBoQmQo7q)E>^o(N1P|y1eN$+>%C@3zNd-dz?b^3P9mwby`nYvLQzc
zQG2h+4ybta40`+0fp}y<1OP?<i9U>F<mHlOqnrY)gRUz0<a5cOu3oceRdg_!i|^rE
z>0~N-9gu`RQ-9$EFl^X<X>>|#^#^1~fUN6j*eogI<aZNEAl_6IldV%rF!vKz?_}H0
z{_6k&gkMt400@260tyzdd@uclOEiYIUkELg0x#kmXc`$IGG@3wGC4-|zcl|%#xAAa
z5JI9lhr48EZq&nL_lNF&*X$P@IJi59uA}}3OCFh$9ziwR7z}IPVk-x?@_u2xy>IZU
z{@yx^izm@VZ{t?r6}cpJL~Z=#-yl9`v{6t3w!R-CO>H8(Kfz8T#t{|6E?YC+4{l|X
zFYIP$IA4eguX%{lh-v)0!)0~?(KV`3U(YSq=%r#ToxV@&$EzP4{|+Bw6L-YhzQAK-
z*T7ge)_Vat+Uk9R|Ih(od;JjKLzYm@ce;mq#{&NoR1)K6{UuZNKnlMIM&H7O#cXxL
zvS^y{0qWih6>6iYa#cAX4|9vJ6+>OR@U5E|2<NO=8fjf6E+#EkIlx$w)ghF6BstT7
zhbKb`imca<-w3QH6wkalOM`*ri>r2PCJ`b0@^k}gi&nFHM5EFj0}orXGjJ>uS;q!5
z)eN^cM(e}*@ya_aWSO#K3g0gEm88gl!Trqrk>QG--nzUyo!QBjI*s`n@^m8crH+9F
z;nJ*)?cQKj;^N-Pf7L@^Y22Sb+PoaK_pz$yP#kO2S2&k>F}L2MTv(Ip>~(^soLrc-
zPWIQ&qC}Zhbzz8}mmaS~5m%pK4a*>EJ5}*a*m;1Dihh~}Oab-IF;N7ip5#$P&L&y$
z4EZq!Js1cc1?~cRANr3d%(R7<>&`OJ+9%00jjjpUhGZmhU-dCgoxH;gSiJD#?wp4o
z$v-=q%T}0or9llGhT5|UkOQmEd2^u^%?2|<2m50(js($@TdRo=g`Ws+j9hUgJ#+ud
z4z<*p7;ll&(5WeH<ZG=zRIgAQ?c)Zund`PPV6KGV4kp-Km_K+3AB-6mj;MnaG_&Of
z3~wtEHYt5zDY=^D2Mmr#Mc>9yq5a;0(svx0L-5#eG!46f-A<Tvfmi^jL4L*U>7_eg
z3Xir`ZGSvDNO?oRCH0Mh*YSu0*bHgEiUswu&0~55A2b0r1u|oxu+!1NcIF!l(#?67
z79f+^!>~T{yjXaxBQQ*k#c84+l2Nh-{rF;$+>wctgrvKwrgS^l_3_;0+Uiv2A(v}_
zzpVzL`K7`$kEcG=p8?G9kDK)+P1R4m0&TtLP|FA~Ryq^2T?$)(=*Dtd??7xZ#`^?%
z*vV_Z4+#i&WyaRXHcmSdoJP6ykEfZ00gwQ`_g?C!wVIus!m1({Q+qC($E_Vr7wyBo
zXxMe#ceTSJQnW!rR&R|evU3^80(sX`G=c?lW5wUSsd-+YXmoysZ@ck*N59k6g`79(
zYk&wJ5epNsFee1=TS|cP<n6pN4q;!Y4aRNjn~tB&`1-A!xmGPyC}TMEH;^}wGi=}e
zfmi!;%WoHty>&!S&e9ayW<844<rMA$inI`A^*y;ht^;l#ISX9VGyl+A8q>~;fvW#u
z3A3jxxAY=dk7%8|PG+~h`Eq_Q;0p4sOMESPjbr%VR|@XI%4vB9Ulw6HR^Xix01!d&
zr$y0pWZ3RD{hj%dM+rvpq0F+^k1quc(~l^MI;tpTup$x5Kl5+mkwSQfmBTFc0T18=
zan3fIlekUz5DXZ_8!{qt<l5FhuRSx^sbqC61(KKpm@u9v$vX8bJ+G5~O33p6jKb8H
z6!d)Qb!17H$+MD=ugvbJu{CFLamwYu#j==T^8KXJ>wRQ=dsrZqFV6htf3pQ09(G4V
z%%%aYnj7LpLYzAN+Bn`&*O@(5f%l&PNTD?JtJ9x5tC?aa^W0XP>5QZDmHt)l$S|c=
zY-O|#3Upc3A_p7FM$M*h7b!cmJTJ!BP@-WY>+8`7+dj5Qr>=MVjHD!SA*1tqPAlVD
zAmIr-T%s7O9i(uew|ED#7X=<;B$9@av1o7l{+v_MNr`N>dV;6EC~kKVX)n5Hl<(&c
z6GS2t?b;l^<!>`<hQ@~!+}vnQhWI<8{eo0&s{oMf!ky_VDir&jX_LC!NCZiYcdH3$
zhD4u;Jp*?NDQzsu48<Aja3V((BLrf*3d8ec%P|ca<Nwx^o#BTmmY)je?a0nv)<~~6
z+uLsI#R{3?gg`2K9swtur>3$|HeFY@r$ck!eBmpznMOW*MQFC8)t4>>RK+jwZHq5d
zUw|>}uc{sST3tVA?GU$hJAkUq>>b;7O;+EvE^Bj)`n}kjw@OO}wcNOk3vpS-^t^l7
zQcR-m9uFmXX_x=X+=~{C1<6;RQRa1bSG9-Z!1UvKXGi8A&eNIt(&z9q=Ou)~sUnkT
zU4a&(#CY(nSU{MNbOG-f*<Rq$5tPV!j-mroHm5T^qbiD;GX!|wL<>);xW}B$EVV_6
zCC}e_bhEYHgwy|xj8Ieb@b`E<R6n#SSlZ|2`K!+*dlsJ493BsW;qJDOyD{)~X|hn~
zIbnI4;{AqDbIOXIzzV)Q{aqRr1&*<vgLWY{2?^Sl{FQeGjr6~!aoUVNvLs$s4Du(Y
zoE5U;ztkrG()3%{C>~A^GYIy@J(W~7M21$oHN}o|t11|qn9V(7D529O;X22l)z};O
zNq97E>5l0)!c?CDFaMf2ytqiC^nGOd#NfX&M_g==k}Z%31yyGA_dcbD)IX^kN1?^^
z=np;zD#4Z54f9D^;x5cvn=q5=#MT|Dwvj;w%!tqb=K7~ktGvqn+qNg=<bGr5E-Wpd
zIdnP6@4an>rs^2}iryln<_M8fxhi||(Ja_M9NWvmQF?H1*Saez+{?p};nZnCiy^s+
zZ=FkNP6eh*>~=#73-}N#{kd9`MB-S&|8Xc3Rx!XBEs5WF$-yUBDbAngTb9X}i!Rvg
z(kLTVAMh*MB_Iu8_ZioA&2@&!-~*C0h2^1%AX`X;&ig0$8iT{3BV#-1d=)+Sn|bNb
zf8gBW1QC1FCO@DASj`7_5GB;Zcxke1Z3WMELN{BCJ|B~~Y!w&%n}aU$$?Li+IM#<Y
z4FpO}O(|!E2PdBhskQ!}u1K%<ScH~Lr-?#9^Rbcs6D)d0Q1!*JZTM*TdA9e>{XqYl
zM>v<Uf1V?P$)oKbCrv#Md~#hT6yz^28j)TJ0jlX+i$rQ{PMsO|JFXR!r0<lg6NHNs
zcV`-RcFo-gR5Ja(u$@t(lliOwf=q$N`2E|xsU7%mV_iW}sH4Nyp@;zcBaWd*AG#+!
zt=Li!Jq4DrIZN*`h^z<7x{Z&`4H|e3?uv4n#dZyr?e1(e92KX$hwT@Zkil8!q7EFI
zKdHTsFt5X=;O4*xm)}<YWK_x6gD2Qi7=;-Fdsz)^1c0VXz;_vus>ffX^cvfVoW;s9
zU$NKea0DG$d8n}>W*zOYqkCVec8I6gPhiJ;)}6YfGBcnA=-DNJ0rmm86+@*r580#{
z$0FnybgHHjdYs(Fbk$<bo2R(al#)C^c7AGD>r0mbruPfb(vPbzef0)<cp`N_c%59?
zF@C*j*|Q}8reR?jZY3}a{4tV^eTgf4_aVG=lx7QG(JrvLC{_O=!RmeIA!Rmsm}kTk
z+WO++r0-EP?@2I=O5lcI8*AALz(hRqr@9bJ2xyn#o{tebHi$XD5uNeeXG=mapBNfH
zM9p5;ur+~Q^`WJu`3Glxti!p!f~_ryUrgsb!~gwUSGjX5vwSZgKl!f&OKNilB!%}6
z|3f@TNv-hng;sNYg3TUWwt=5!ozeeRwv5H!Ja2t$qVvM&TB8fmw&_}QKJS>rlEmZY
zN5)Mzb9OpIe<1c0EYC}tDl)(_Vk^=gG%EcW1Z9|Bc?aXbyuT}$km(&O`VYC#2kF4r
zM|1cyz~jzDk1Yrn#U9XqogprO5;$1s`ecX!=oxT2%>dJHzr|N#^Td$qI9G+~iz;^;
zcgOzJlIF~CDYcJ27vs(vo0kW?fb3_!D^WT5BU(3`pG4j?v0e^i(Jog5i(`iPcV<Gg
z;=ORvCM~@SVk4|kwBJQ4KM0D*E-HXo0J<9qGcrxd{@vn0wcTDaGIlPfmk27K(?inH
zexWgxnUYv4xPPp5?oI{y8IoSvZe1bB@29<66QL9*u->q<dS$~NgPoFg3cef#4Yhni
z$Hj08f`zt0FA@DM;dqOrc<rdp?%Ys>LP)W(o~#B%sqmrKwX{XpQwrd*)BsaCzB>@d
z3Jnkvqo!{>!q1;zA)FV5@MFD1eEBs;0|$Cj0jog=NEX`sOuVSVk{Kp{^~0oTGkcz~
zD-W~mK@1@sn|a?y$Qnz)iJBNuKb$3#9~B`ivG5%BJsudDAKrne{(h_2CZW^{cOLpD
z);y<$350KxPk=_Fy*Gf<t#&3xEw%J5UTmWvMC2o#e7jZ_Zdy0JQIXUGl=%)fAlo0F
z18zgBj4YYz?yL|vKJ7WwAJywouHtk}PR+30ZV<d))dSL@r@>w-WZlG!Q09r5*Ieb3
zhb$KfCS2<Z9mQ$-aaF(l(#K<X3+Kp5*h!Psr@H0&Pv(=DxMLMXW<O3Csm_e2rX2nm
z{SL+y275NK?DQ~bke}<_-;Hn33P$>+y!Ffs`QDS?+pUA{o=LtGNkC!Of~GS%g=~Yd
zM4)n(&&`9cWLAk)64~NkitE$7u6b>mq4n0!KSumH%f}fIWB9_n$k+I6$5}>T?2i5w
zG4%OjR$vJGQpKwIH;{e)#b;L9dH;Vb>4~b36$V4EV-}DHe@`je(Vh6iF9N!C40(|)
zwGx}oUb&v`T?DkQ_a@gU1!*GCA1^*CC-Zs$y~&V;6Fc7~`DY_I7~?fdvbgo;Q?evs
z&xHurp7S!re|)>Rx~`&fMbsMLqv^59zIaK;owd+0?a0@LF?(CnY!b%K$k^5WFJ@=;
z7ec@<#zZqo*MNi<2^>{HS1YoKxf4&nlZzBdLX`q8;N)z<96h~$%_b@<tj9cIhgLHK
zk6`g&5z6~nO}~w&E5|SOju!ZiNc+$&d>*$yBJtT9n;c!EbR|iy-z1K4=C|O+^lVi!
zL^ijj)LoXuYN!;0T(Xp%5YRg1oSGT~{cG*-Cerf#Z9P<LqYCI(R}~bXh^X-j83ps}
z-v13cT@NPd%!uAPmA?<heR&U4S$cR5{}??GksiLWe~X7&XzDFuP?fWoHb5m&Z#0s(
zQR)r<xHP0P0DTsHAr^`2tLH%~7eppFe%&kO7Ln<Hy5zp2wf3o{B((f^AR16YhYUSu
zm$7GVTjShjJMGI-@MxYL9K1QEy}XPE+Ycu2X#Ipu15r`gSjn*K_58EUPkIKyhof{V
z!PjE`-NYMVZz9#=-MaImf*8O)9ko1nI+Boe;kFmRB4q)c;y3EcPlr>~4jZjc|8>nb
zAG7Uxd8YjS$9txgvu5act0T2c#{QNV-5M<iOKQXZiPnLEm~_aJHpDeIAGEH0^0+Oi
zXMiIeaCSL2HT8X?D5DGTwOIHkHBC?|u-ckf#Nl-nYTa`Zk;yo9emauG5~t`NDTu9-
zr#~Hso2bH&zV+54&1MLH9Pim@vjz$rE)OSZg0v|aLqInS5J>m6=Nzh6?=hsVq$rj2
zPw7++XXm9FOeK^Cqr%HKcj@>hNRCZ^UBqnHq3mx3>ZKDS{)k}pTM2Z}0TBnIcwMBN
zX%!+Bt}CQlZl~}b5F8m4e)uH3Hm4Z}C(Mq+IlA4MK(AM3>mlrn&q$%CK6<>=cXK=N
zJADu!dgX+*$#Kg-8m~EnG=;*7aY;U5PQh!5zoh+jO+nK>Dlt4v1dWu@@fx8pbt#N9
zbSc?hWqx$2xq<Zz_`zj%%6Y#j>az;n;m~bIDzOWy0Edm`b5Wy4o1^2O<M9%aixouA
zeb=pDeLva1a;?&g@t{yF=l+8xH<OLL+A(kcvejE_H?rZqi@VYyp5OeEzik)YOwq>g
z)ZOE=#fVmx8_&*Y$qnkKMbBF`pT*{&l|_;I?Y0(KjGg%jP1F(2RLkX~>ux6MYr4r%
z9ly)nThXb*s0TqfuZT^$!^cZeA=eTzO+Vk`r;Pc~#XSgO^V~%SE1LcpxC!x{_bIr8
zA^@*y_9b)-*hjWX6Z4Y(4oMRv58)Ij;)5tQ6EkGCZnW~LDxc{WYh>$z*`<sLak|E`
zDOMAnp8IhZFyHZMRMJdM6}-DQ;u~ZE849}f+rjdnJ*=848>VP}RaU1I4E}?}Bz%4z
z^JW1<=dKrQp)axQ{8DS<A|Y9t`Sf3-waLKl+zj!%)$H1UnU2451>bOhDT&x_XzbY(
zKW0vT0<6((n_>cQx}*m|i61TlnnV4kh9i}$()Zt8l+?cJe!UXi6d9oic0Tb5TUb*R
zo?X2!;y7_VjC=y(gJDkg)UAAh$>jE_eO4_{a#|OcRQRwut0Qy+@deO044t$fcA^pO
zHinwLQBTEB9(OtU_^CKspT87r1Om;83GOmzCy6qND_!uMXUw%VsQxzNX8xuu3A3Mc
zKj{5jEnR)yW-Vf_AnK^+FXwmwaT4aHqiK#(lgm@0+ws+WR!>uQkG-BVcb!siXMI)H
zZ+6G{sen!)PMMl9w=sp;jwS?jgi}f*edva&<JI(Us-X<6`}4kM%1dz`&~s754e>Y%
zCv!C6jCeQiJRb<#?|NXro0%sT;-k4%RfPw8Id<kq+cQFVM<l5<KDDa;OH&nFCqKM7
zC}<H%(fbH^5{Mq5W~(+GS$BdM$y6o1qVx?X49h+6^R~-ODhjeI@vbhPjEu<i`~$Fh
zFuI2^CC|?1xSFlLfD+(|V_$s^HkKinuAdF$%CNWP7k!gsdLA1Z|H7qQy1Th`K8;7*
zMnrCS;&-#-l;po;0b`rbLTSHtmgXBl>C1X2)m7g2sXUMW*XbP2*-=chVv_I|qK=1V
zrEPg_=+}?En&=J06UxOCg8%qEJCoS_6JNU&B<pIN>OG`I-4mK15HTOGM}>X1W)?p&
z|H2TNQ-4`vnsJsJ6%joQI*9RV0aD_=)3Y2bo|Z4p=sIBJZ;o7{UM>>>5S*Rbsq(ck
zzwLqrFS?uvrKKbPU^N#{hw9he#-a`^Xbb@1Bx+n4^j?S*3MT|?FyE0jHJ$DKcWqAW
zd8UsuwJA=;zS;IVo0<5hM(N7cZ~eyBuq*vi!59IJN&86m48uIAK`99AwBRu@Q3R*}
zwwTGwc7m;ERpebgdXj?Hw8FjQ24WLxCYYe$y(KIR=6Qt9S5)xc`xX3yfHN&r1k_By
zpQ@EnDoXh+U0|oh9VOH{06Ti<`;s65IUUOVWt6H07O#_OhYtJae>d3s{NoJ;i&4O8
zdMh+}d@d?%pwcG%F-@B4jrYf#hw5v^HXPQE(%w$Y2V~Do465Q_Px|t82j4JXE35Vt
zY-55g2u^K^dA}7cCpGQ$KQ}0u_4wr!StlO-x(T?64`30B=<ql4oWQ%Qzd(}971WOp
za8|6lL!P%T0Us#g;=Wn|TUQ&5eC!}}VR!k%^)*EBfY1+Pr_*dlX$Ew>Up;dhOHi4+
zb4seNHYzma6iRqV9~sb_P4r$vs(^ULJqzwK?|$$VfX?%Av&PcF0q%D%y~7Is?7K$j
zghf33w+O)ox~BgqjaewU{+O<T(5q_V>&HJ&YYuBTF3z>?_Qv(#m8kN>gUwf9OIKLn
zMXU9ura}3-d$mV%lJCX=VE1t$l{Isk!}C%6gpiYm&y(w^pXea0mAQTmng%?Ugie9|
zi1A-Z2?b7y_a*4`aDg6w<l|*w9oK|^Mo^}&7wTFkcW_eek-2aC61cc0;ZlT~8SMba
z@o7%JXtU~CPUh?h1x%JyyZ0RdtrqtSN~nH9cPs7dNzXjtzIJ}?xzL+(nXRucZr7#2
zg{c%Nju+3U<V3=*C6BIyh5L=!CT%a-pjoX*aqeeD*IwG2*ryoiI#0MAZihx{h9o`u
z-YQOJZ|p@7Ig*^ZO)jacivL<lJB(&I@tU1h`u6W4wm9WHp803c3!OQmmYhI0Qw3Ic
zbe*LA=A!{gMFmY2twmokA>HwH<Gr8~bzN<h-|2--*45<#y8`rXM5Ij{64|zIH1`<P
zs#qR2mc|phxiC)S_ZDvs8%*oVKrVE1DbB3(6*Nb~t?y-GFa3TeR8lxj@IJBlJj~+U
z9W$tei`Un{=(@48fmvB#xDbP7O?wB?o^>RddtDNKtAOz9v6R@LW%e4<C+9`7^s9ba
zGI14hc{fSZrQph8oj$glaN&GCVT{1|Ld?zUE70)mlVXOVLKR2;R42M(^znh(^X@O+
zjZP|2MHEJ1m=L=CD?9ZCnlr`t04cxC;KC5ro^Ew1%-L*NdwZ^38Zp=Us7uzj-~WbE
zWOe>FNzgHfXYI8&Bn~oOquPv{`gXH)d+gt>B5;}lFaNi{iITnytcxL($vGQn!=jRW
zq?}e)Mz$h4LGpEw1;dnBjpCSX;bvk<wKexcQs9q;+nv_=9aqTT=Hj8@iExYgsqYPy
z0yhl~8w*d?uT`6ME&`8n%1T=IyU2NCmBmsn{&z1xHztGjT)=aIetKb)=K5x16kUqu
zIW;%y$>8lmj<S}{+GJ6Dz=E@$Q#2;8SQOmxy(HDCpb?>OadH$akh^66swhY44W9Q!
zM!bnD9Yv5-xtAz!+QL0zX+E8oi&ZrAd;M=lE>2soKHlsH9wjsDSngEj4c33U2l0p(
z605yPmGD<H@P0E+(BtrcTA%Ygey8EVZM(RE(Ydw21+sEIT;SAR-_lZu$+orF{)Pf$
zVIyuT-U?f5|MC`hwoq1fldqk#+fRkr>ymygZi5y%PNcH_T)BtY?-TiyWl*!{f<;Tx
z>x%S=Ut2h{3YcGbQzy$*spF|b$E<$N-v1^`x%oBig$3W|b560qlh3`MA!c1%#-fFt
zW70|ArQ?o=oc?U8W5yR)oJ3fd#*a1S2?|Uz_>Z)xXq9FDh@0&!oz_)mrz6((IprVd
z{}Mux)ln44Wwck8pT>8OO)Izz3KhL3zD3^F9!6esD{IzA<H^K|->xTaUC1lP$I)kU
z@R>cJ%TFY7^AgFuT{FGXi}xGrcU1Kma@K>C`}g){x9DC9>0cY#jc%yKN5^rb$$WUN
zc9_Zr%dd49JxQpYILWOYzx&Mn(4Y=3LG$xYCx(AoZ05wyA*nXo%oGAo1FtPtKDh5|
z$4l)$eIg<cUUF&FMXeIq(NRymOSL!<7gu~U5qQXSeVo-`ah#X@MspJ-b;MS>g8nzR
z__mh0GavCmOgL;qj;#y-Vz2e0aNeX$br?UB2F<NR6&Bpmc(bo+fNR?G+n<i6*RCdc
z-i;_4KCHP=xV=l`K30;nPnEwSWuLV8JNRq$%}&m>rHJf$$a?FA{B=7;z?K+K-Sa4H
zx3G$7!T7Lz#Q3OR&%!cB+a8`@?#j@T!uU-=qYdP^+I50{c5=Beb$@dn54-5AAPagf
z+2!=Wr&ex#0cuD?Z{b>MK+_EaNBpeh)65~oJ*rV-rYY`lKN_a|mF&pP)E=6o7G}>S
zm1iU)UWHTBm3fa&NKy{lxB<ivj2jW8T;hxnVW3eH5m_eQODCqz{yRJtZUpk4LZ7MZ
zMto`Lu;SgZFV2QYc(`B>YkF%g%Jy)&muCenXa@R80jE^SN8Zj&*2k?hFWfqk*>(sH
zZe)mq2<S0pcKU?LJKN}#&p1V_{Anw{@LvDMl1ZPS*fVO|hj05S=HxNHunEOOiIug)
z_O>@{Jfesp4(HiJ-8K))b{76#xo4|DHi)7)bK=yP(5&*baeBmLoJksHz1Y91HF<Lc
z=pjpI*97S6WJ4(SN_?&1L%vQw<5xG?#SraFHTDL)PL-JDQ0iu6Ag4r=Cu3P^*Ew;P
zV`=g${xRAWXT3v)Ojjym$ZUK*CmYL==dX@SHvDv|FXgy%gMtb;VZ%cdJoQo7JaLO3
ze8)}hW{IjaY=GoUAv~O^HK7F+wf7C}ueJh?6zgUXbJB3|y4~yhU&Sez<^<znTaMQd
z82FHlmq(`R-RZ4t?4R?d3{(^qCxt@ioz3`i-=qcAe>pGvcl?bQ+};qW8~Z2KmxVng
z+V;nNPdbvn>jzG6Otv#zl##kHq7Jmb_&g=~ELF7h^TKf{U%e=dEh^KsM9JQVS5Z^x
zxqvae<H$Bh?gOdM2KDhOV0NCDC+-F)kdm-u{_1cQ#<LPk!|b(`3}+xrafLrX>bqsW
zo*jATo?AJ<@zuRInF8Xu-X$EMF&x26xV|zy(eMbTAtcUiP%e+6jKB4(Dy&^y8UiWh
zYVm$u*?Lz^R&Z3RG37MHCTnQY&0*IOV3kGTv<W&@%b~l48?Qa(aTuul(=+rSGtXMz
zeC{(PB;L>Xqb>iw^yw>=!g%{^qVFfUG*NdUgsN1CG>%(U9X9UJCtRQ8kDPyMqQUWh
z(e&N%RR8b$uVYr$JCcwQ2O(r<pE3_3vUm2#DC-~`4YG6WnK;N+Hb+R5eUP1<y|Y62
zJ<sR+`2GKWzh19%Kkxgxulu^Mr{XV#m8Oz=yDg>+p(~cvcD`oDeHg-o!ky~gJrYEo
zN_gd~bK@V~y2=`}#&bYZA4QH}h%67juWO9y=nh};rNEm<c|DiaZC_6n8i-^-s2ZF3
z>3@zzMw|N`ZFIXIT+Vi3+$-a=(B6>U6a|5aF?O$ZxPkR&$lSy~`fclUz~~zXt(Yv2
z6k*cZn6{@3J#J8XEOU49>VLJs8Hh458+kBag`U<`UH_5N%m_}!_>pW!661c&nd0h-
zS=gTR1%3Y5(N$WUhs~2bxQzt{o8lm*|Kta!^rRkFp6!2bexJ0RR@X{~(2y6K`<Wrv
zBHXEHqNa&uMN38cYU$fby<MV}{}e1P>Pqb4g&CK{BoX(o`de~ux#WmX-V#ceS{7m5
z0Ojk^w&HEfh3$abGfm|V`DIlpm^ir|Jo6oZR-_rqsgWmAyf+`UOX%!}hO6r?YVJL0
z&rl(=^aTmCGQZ8u704@#a~EMNbtdtjX#Mcx-wl^BzX??k?L_;4&@=HO-vJits%lzc
z2F4n)*`%h;vovf1y!YoIU;gdqO73?tT1o-CX(!2I!Bfqv<d9YE)ZcL)c(nSUm0;Pf
z^>a|mO*U26GTm*pop;v)wTQoF-D-_&s;zpC7$n9dApbHgy^a*rQEM0b#q?GT+l<>S
z=|(|b;g#+&KPulRF%jR@+Uj-%XH~3e@R%>J%^_<k`z2eS4AmvXMOrg!a&<EkYgWb&
z$t)#U;8!(iv1<aFf8^Kst`h<?7Eq(#Bx9)I`9;~#sd)aNN7*3+T4BvPYOfF&_=PYz
zh7UKc2yB<mS2y3M7lL?b6^s(Z1d-J*%yLWTDYM--*m{1r*q?3~_XbyPfLK$3N1E=9
z26kr9&@4NPHLCiimcVo6axH(p;ipgDg;qQm3{>rUxR8IM1}=lR<>nU^I<CjHfpZ-5
z1f8rTh)Wh1a7Xn(@I+T+N6g%5$pjP8yeFKzYvulKwtZUtUwb@;C7$W*-IaZIrR4DA
zto)+hc)M)xw!4gwq;KxI3uYc8CYchmuSD!0DLfb+7&jNvan7xegARWlIXl2vFj#Bp
z{9Tb!XrP%o*46~TuS$3K?+gE%3RW8erp-45m&ppJm3^JdWhEIhNQts5&5c+R9prhz
zDQ~lOyAi?+C@5ckI*l+j@9x<s0ss4d9=!4Jdn%^7D|liez--9XIKVdJtTIz7w;;i>
zApv3{v*$vJELX#9Gd?s#?&Qc&(a(3m)0B}%E+D%Jr}@$Q)G)ot7rdJ7u8Oo2YvFwL
zQnz$<kB~fi$`_P(R8|5OKv55(%UcO;sv<3$5dP)QUfF}zX?Bn+bS2G#yu8Tx#Dsa_
ztil`_Mr0*%9Qn18JNGEa5Dq3L%t-@Wg>m~i{tRc<&g^-*(wAsx9II+pL|CD~uT>bs
zu+Yzc<hH~^QcX<4jYKz(?z}-ZfsS+-^NFEtF=#?GySv(ubj%a8$VZFN2s}$pA8xFs
z1ew9CGAKuPyrN+_^6#K7*8|#rb?lyGS9Kei6-QldC_og*zr@JmxM&eoa?CHd(7MF|
zzV#ExYY`fCUG6y->^l#Zs~)OdsqDHRY^j}}EY=YUJ!Y?1oH0<v8QvK4xG7Rz)L5%1
z&DCI6i}(DMb^}1LSPfjDj;=Z;pIleH9q9>uXyZ(ER9K5$k9J@DrTl8@n<U#|*Y~gO
zW&#3=rJVi<Q~Gj;zJ^E=glgevunx0inrL;x6<&~h4pCm)O1J*JJfrHhTtt$iGiz}h
zof51?>VtDnzBr>lKIO;{R~M1(SuL#<l%^za1nBKE12{y9;Onp|2Sj;F3^%IOqTnGh
zBv6uojox%uX$X*QZYM`iiy3G-*8S&WfA>{Hy3o@T7&I2MO(n<WWPkzWtojbi6SS|4
z$l&4Z0z(x}Q?P=3SFwGIxmb?V$p{nr=h@<_;#<}@?G8Oxb0sb3XNwku!Xa5=fD_OU
zqZ_wozR%AYX!ZF<;G&_|?%KOz5crS&XOHLp;5`g-ei5N!KfHL5s9EVfSn@?~2iJ|N
zkWt&QJ~D2)DhTqcJhhA)unydkAT89_v|E}1?lz!MM>hoe@H1r3?|ap17`UegPuj^s
z{yp{XlwB)a$SW`Q%5MFD(xSX<#Xzt4RGiNcH`~6I)-21us$BSNFthCWpt5^vQBAee
z-%GAcX!*m+_krrVNYG?1>zgR%qrZ61C|OvbzCYQ2mT4|GC&msnwc$K<bTt7<AH4EH
zuq`A#wJbm3%D<hRgzE-d&lqWZST9>_lqqfCun2I_gAvF7x<1tY#(Y}A?jQw9vb+E^
zs|udG>300nMX7C@XWvSWTK%C`nKpIXUTE*`wU*3E6%{s`SirE%$cVjUXG9xZ;D3B+
z>)n*y*(XEIZKF%%ud=da%Mttk)Z@}^ciAs$RD<sA^=S*KGhwiE4<5Xd3dKPm=oZEe
zhTjcyn$*?&mf(QQ-RIVFF-wG2qt{#ELN?a*VJ^zr;&0UOm;5*UbO5?zK#EUQR{hDw
zDq{3Bzo$4xWQmVY`~Rlri$}|QI!ke{8h&kS{9c)kV_Z=P*<L*_e6UX1f9^`aPeBf7
zs^7(6oArh!n4RiK!&4YCBY$_J-h)Qua~;Hkbv;nTjP+)Z$DndQAJ&>LFI}IQysFOU
z2RN+5u^+Rl@P`_@;>@Ftx9UL_o{P%78}xXx@T7Sd{jxUryQ>n^FfzZ0i(1O-sM#Bb
zO^8CZYb%ZtX=%rB8nXa$@Pe4*>X){b$?*Podl!)5?&&2ebkgf=KG!dy<?N%Q&Z>7-
z{u(8br?s344{}!Kt+Z6fIz2gHED(mR=$@}*bTMMaNWQBc^Q3P2f{a5y5uW7EDy@_6
zy}|cW6CVFJTG=(jtALM}i#TW)KgpdNh_X}LAv&|3n{YyY&r=Z(KJ|s6KR)2gj~{@&
z?g-ML;OFwa3Lefz!El<oNA#;^A-8@cWMJ9LDOv%`iWs44Y+>p&yAn%%ci>uJHikMu
z<7945uA!o)pAeFWvtbW!FEM__t5+)u!IY(6*;}KMD{{!xv=00AIWLhI<M#+7a@mrz
zN}0&bl#AK1YV6-+;hO4!c3l*?%qvjt)5pbZkFaS@@b?}!|EnO664Qy%+ZtYHd(J?K
zmV0(S(In!pi_v|i?ODZ1RP&p0^=HWEe@oZg_tLH#DAccpLF~2%10GV6@0MEmDjxdA
zsurU*g<Q`4f0>JoU52AR?X8^`v@PD}PRohaRI0T%J;i`5+z9tSOKw{PqlwzrD=qdB
zg(<8ld{q`ZUd9ysM|F{x5QZtuTN(}jvGxsQ!NzLlUYJ#zi5AF|{iR7Z>v$!j`jSD$
z<viW4Gb@pa?%^_-Q$PA#IE5xhkyUGTel!Ab$%@FnW+^UlZq)Y|+F_2WB)^gr6+vH;
zWQ{W6vfY2b@=KCzN`*8#x4roy0jq;#>iMp()_#+m#7mgK1;>TlWR>nGgFMenM4jef
zvG9lb@sx&&mb*~{s6yj*=Ar1ni~zC5l)bn2ChB6O@1+=UbR1LH38)Z8AM1wHY{ulH
zJ_Rd01v*`{^pFw+e{1ZEF5q32Lgyv4Gr_%fvUQ@rqOF#JF!T9D6NPfTw=Tle5+45C
z7XRwN!i(WD+T3&3MY;2ZnX}ie2A9`+EEOyv?p`MzTqo$?L1(D52EkI&^gwC^n+Yx>
zdH+e_r^j9m>Mt4UYzV9obXE-$3vTVPyuYnamS4EfR$+~iMYcp#_NxQY=b{GcT`obD
z6U%i-Qh&V6t_DT~Bc}h5H`!K_xx)O|R#TgePqi=8-$LQbZUAV|(=L#}$ou3347O8U
zefLJ-c1Y%3<A=(=LpMhNi2(g-l5ila%Wds*ad+B=@ySFpj@WmXXedqwqE!KTunIFb
zp@5hBeUXt)o7|X!+*%*q`oMFP%$XdsBpywDPOiC6hPTbxWYkS>qHA#lWHM@*Qz&I7
zJEB%*SFx?ns7`{%B`Y4Q)HBor@tE(I2QL2DZdOev%P#o$@w~|PJKX6m!zdz#BhZQm
z@I(I>!MwWcRth<PY0l%O|6bSDK?l`VhzP9eAl1LiMPH9MeF3#>rj+G#C{k?d1Uk&x
z6~LaDg7)E%;$NAz+VV(6IQGx~-lDYLGQq&r%|?Rfk2-r%Co7`9ZEnTWJ2EI;-3%X+
zcF7tsbw4ZYvtaSPaUB|!4Y+02M~%&$xeEE9{d|QiY=YwXrnlN?D1Em;R$}D2#Uli%
zX&ioa5Z_CB_-&#fF6;CJMo6Pu%jLg>R)dgT+%F#LePk!{nb<&>XtR|lMUuvJOI|c3
z8L)aYGC+nUapJus+rQY`hS5`Z<=*Mak8iXGn9Z=f=mhB$2uD3zo{kBApljg#w7i@9
zh6M2jzcQ_Y#hD+NV8(>Kw;8@J&c&6;s=q~>e=5iP^i(ZYZ%?n~1G-Aw^|Eu0Mr*Wu
zW!1@BEHARiet|E~DVk)1tp7&l7{g|SZL=o5yYF1s8yQb0fp@~a%+tA?PYp@oPL@(8
z;|`V{06jCGfj*5Lh4TVF^zoA^>Da?+GczH!^1?LNKI6#FlycDKx7{~biScY4ZNnd@
zNqqp-Q$N<LwA!u%>dw1vlt+Nt&V1iLRG`IR9enuDv*ACKGGuTkb_PQc$Dnrkuf4bN
zi_^l%@OG@qd%P0j>aB`NfNVlHi=Bfflb-H9X^Q__U}9AN-Pj5`?D%K+_;Xq^)9@Sc
zcV1M8eBvFVKvtOw83|N+<_7?t%~GK<SRShS9ehYyR9uINE0c9YoGg%AA>Y|S6ZX}|
zbGMq7LYnCIqFB@US3lKTR|#z=M4h_`lm<mGYiEaX(F$pFX$%7S!4|=fu&V9FH8N}u
z@-?9vNiJJFof+&B#l&dn-l88;;#$1No?TgWFjs1NvO_errn)Yq!4!x6@PI>F>1qq>
zxI)T+hA+*>6t`)w4!ccp@B&2#K_0UXGOJ`G#Q-v^*ro!8^5JB^lnEA)q^BiE?H+yr
z@$Gw|&5o|{k(oCIqGE;Q4G9Ad;Cyct`N9m<R}n%i<xckOn3Yc_bzPq>bQ#L@ekqe#
zea{T^R2m$@BwUK>=&o{r4!autcc)9=6z|V(62X}(<d)0iImW-kd0CE7IahG8b=yvN
zn|1VT#k035r`G{HsNMWEaUZFzrpveGgqh+)KMrx<|8|aHO%YUzq+lIxII>*b7=9M^
z0XByGQj3j#(XJ^jFq4~hX^cNhxFO&UU?Klzuo1O;fLk4+mL$I}4h-DnF`MN+Oyp=(
zp#r?BY@t*#0MLV;9}8WVJ^IyDRX+P4mK6~-AFKKyz8pW!4EF4@bA)_eitA$K+SuEb
zS}f8_^AcSS=c{?DQPBb8)ZbmNxXsLW5o5G8z<lN9_?Ax4L)3M$vm~(391ging2ccu
zNv5bs|2U>zxt-ho+CtVqzepVA^uYTfwi@NvV`m0!;pe-WFw`2l!Yo4w?k#YB7h*-I
z$~eOf_ebrM<KP%%lG@q_21=~un^jtR6LdpF!lRkBZMKHnixu5Ci9EXJI}N!K;ZC>|
zJ&CK6^Tg1hi4@&R`@--@y+PVL>x=s92I_(fL>@f2$T{a=0f9JOqKuScyPVNxHt^~p
zFi0%@=$SjrXawcx0O!5B2ZYf^KzQUGu)B`wp|uAkjaJYv*1b*-<pV){{h!X1ECmyN
zzG+;w)SXotZ|Bqk5k#$&r_`-+PhHM(neGyX7RLVgm|FeaG$APpGE>mnCat1nw`VTL
z#>6gP`zxzOTJyR58e`XQ#tAWKYW8d5*}#(=&22JiQ+dXr%CO>6m&dt0;u3!+-ExUM
zCe=UDIN2Qa81WW*{Q@c_<TG^M>b1YUqa$Dj;wM`tMT@KRjx6pEm250*8J(MpT7Qc!
zyQ>>jOD1ZZIg(f1;)H-|434HRC40VN^a~|VLlhL-63cyR{x#9(x+&y5*QKHLipV2C
zHbB@+#Ei<L|0pU(xfm6Fw7!+oY7bCiq{s4zYp?ceTm0$s2)|z&M711C0Ze_8#TQpj
zI!}lR4B*Y<Zee5b0$;XSGP)I}Q$A$o&HieOyVJE*RT2aqTD!54&iQ%C7#VSz#XTlR
z?DhK9D<>}N-u*dI=|=yrcCx5ofT%9>3jaRZ#;Ox4IRq3}$fU4E%>G<;k^~ikhneMt
z!QeYM6+LYikJG|suXwrzKPrZ_<*A6OFCD+#vnl?5qL}!h(=#&ohxay-^n;$G|C=sG
zgL}=z>KMV$Jn?V1#P&i3h1#~Y$Z!dn6t##jU`O@KP>{5YJaq}UJ=};m5>^2n?bC4V
z=$f*CdAct%J-XMJv%0VORO*6=WpU?`fv|$+t+d#cgKEYC*qj_lPM4759PE=qolY@*
zE!SNbv~8f)k)ZvicXd-oz=GA2=|A)lkbsp{gw&&*-*jGCmd$3iqZ6J|(0|%wwK=-q
zQTtr-f&?l6Z70DCf$2&`3{!IQqqQ)XqNu6F*>I?c;pSNpRvZHWIyW%fM+F&UY_a6|
zS4vyyA-Bx94vhh&xZn=sJCK{(6i$#=5cxRKwwUNY#HiHWgb^!2R@Ru6&D!%cAPPL~
z5DQBOYl8Y^5@~!~+*8|~inElyQvFP_*Ajp{UUsqVwR8Qo!ul~!zxNNEeynU)w~D6x
z1C0<quIJdJecvs+kr7GLdo4FSr{86+>viK>2v>ewY;4>l2nKX}myIl#v<?`<8z%mp
zYIc?cPuR&i0<t1mTXAv~`G18qV>|r}f$(MKgPXK*M9F_VUf=CifLUn^m}e&Lqkq<+
zqbZ$;@OgaW**a9Wkp`C;x62!&FSP`GYZ`^yaXDE65pUKV1i9=cOC+VK=;5;0k_bZ&
z%S#fW>6!L&dOI&Eg0j{he!WgnxZe>w*0X9)|Kj2a==-SThT0o~4&=HU)TI93fXXmJ
zY_N*!D`f$rAKJIF_mGlOl2qE1i%uzmy(hctQ>7O11G>u=xaL|q%S16a@>P8uHKiS3
zt^1)h@;H_LMj!ylxY$1BZ#7*2IZqGvWNn<i5uDoR(Lw}W^xI$;3`wIA-8}rsdhi*j
zz~^3YllJ0%WKzRhYQ#&1?drPcV5E!(vk_}1zfL>J#yjxb91v{bzVazfCoN~qZNa=%
zDVlwZO|EhKS3V1uzEzNQwO3*9;KqTnW_?uoc6GZX($gre!WYgqVYS1TGfkg3IFkbb
z#|N|^c%Z1PY`svqwe-?m_U!-7x-&m-WtwMt-JnL}{m;zmGFYtYDDW=2AqB5WS)8(7
z9#|42ZDjHY5t5CH#;G6jBIjJ)@xVrm4uK*edk9BeeG=`4a>1wop1?f%X<*~}dzeRK
zhelkfgN4nzTTob1vRrD%z8f-)yOm-eo11Iw_rx!IxIOwS8C3Rfr6UsKj1kjSyPb@!
zxU_Qp)P=GA-`zY%i-Ez3iXk+J$yJKt_Xz{Vx;8g{782);DBnf142|Ts8i7t;7Fd2*
zfz>G-@Rd&|V2pC=>+)6SJ(!j{STX?wI>{1#e<_(f6fleiq^!M|4E~N;1oA-p>0!`@
zJT1=AsKLifC0J7Sg;hiLg9v6bD@n@5_$&XG+TwY{FZ8=eVaaQU)gDrEEmYk2?wBYQ
zGIG;B#!Qo?mkb_rpvfZp)pa@Urj>X|QF^7<NKhFh-z#VUTdhGt(ya&I24dOc;RI@G
z`<lQ1p*R1?I$`lICQ@}dcI&!P=r0n%Q^~??ad1YbqApNH$@-PgsFvoLRedyVsu?oK
zNcQ>r0~DhTveH=8x{t=Bu6U(C=XO*mpr*kG;cwC6&fLx$%9(eYd4S#nnh$HHfNO>`
zY$Iv+IrgEVd6g4n7JfE+6{(03ONiuWIbtCvv8rWpF28qD)u@J+7Y8r@<o-G=4)zvm
z=xLq%F;ngU_A4Y{d1?MH?4qp1Ps@3K>TLGI=Xv4JjV*4>LaIe1(S8=6|INV!Z=A+?
zNa@=J+{V-77a_S`E;$`lT`$uF<LrtISmPvBX=9x0>(p0U2pR5Dl%|W5dit<`_3PTl
zZqy0m<>{arkAnrw+3?QJr!%fZ(G0VYrg!0|1I@L(ng2(}1D*WF<AuvZ!{XtnkT0_V
zDxSokh&YcKGD(T|xlaGD<xW{=4LmLNquO+83L1EFFEE<Kz1hS}iqmG~Ya89^^MS&z
z&|%9LU6827L;0{Vml@Uu%fSi)tF?3NhxVh172`r8I)V~1#adYFQQm4ILcjvR{BY=$
zb;X~2g7s&LB#_O@24Lp{rvvpaH0mdc$S?3-N~~8uYT8v3!8XC*I>fH=l3~nc+P~7@
zH)3@PVac0EtX~<IDW*{zONa*ZHj06(9orG;*u%pG^J-M*ek9IJZ8}u-#XR7ro$OhJ
z`%sXl&%tZlNia9B0J81PYu0p|k4&>)5rSp5_<u}6dO*<yFm=|>#JKkyC1(8L<)szL
z%4#+G^6JPf4%o@JKc9JQ6t1$e-t2Nabc4)oFRXrNtffZw5v|&QqwE~4Uih=A5T}=b
zb(X-dw%HxCj+?iT+F(CfixyscToDAo7-1<DyeVkhs|HqBx09plV=lF@rWfYhr6sr8
zTkMT4q&Km(u$=6*KAx+u#kdydkmDD@&f7UJX#>|6{Dy2YAPU6Y$f#bm=3EuirE6n4
zQR%BsU%^G@QPlMCm4ydAIo@}~73-gTNQqETZwJ#K-P{x7a5e(b&t4w?;Zc46xdK86
z`Av3HtTCkL|9b&k%pW^cWd*i_D81dVP%x_dlM;1q#N0V$&6mF%qnB&i2D>L>pjA~A
z7L_&h&pTfh7SQ_kkP?~*qcm;W5~R)ko@rX#wMLJO@KX^bUM-b}Wq0=|o3a%KO&hZZ
zMo?Ooo7SB~$Zj{kONeKheDq#HB3mzmO%8u~{!77!7nS}Wi@qIg14#_eKrksZsA4{c
zr*t{hyd^qw{>(I`Ta@gz^xQhWmUv9ia{-5~`-!TcjUC|rZ$*5e9ZUNu+ALmJ+sVmw
z%vI^^%^l1B&ng=HmhXgvZx_FY4?lk<7i^2*<?{`R83aJa1n6F4FPTticepy{elCJ7
z@-$1u^lWFZ=$kyy&a)+rIc?H58L26UvS2I9Sp|;XUkXm5D+L!;C2ddq2U5E)3zP(z
z8w8s&*Oo3UzRr@-)!~>GyuKo~8Hhse5H<FV*}pt853GRge<%!bOefRmM_3gISOlmI
z-YOKPu)o_atC(%r`*XtH^iEwwE?eB}rntk*O&zI2Rgn{=zk{tGs<PzubfQ9>5vl|^
z5Npk>dib%gObe(ED^APJn7Dy>%(cH+p?e!0WG7QfQjDu%?iN@!`HCTvwqa_@ym2Yw
z{fgG7X7#^2no5O_oaZJoCf}ZrGd5d%_BgnFeEuHkujZT~$(ACx5|@gRZ8N^MV(Y5^
zI;gnezZUAs)Pk=g$~JkgWy@Zpza+o)W9o9(yJkXl`|yl>N`++q9ncc7qu7qa&BI%o
zkbg{Eey)s-tVVjM+*j9!LO{ZDd2-M#vh-f92nnFt|4>aIj5D&gNE=!jYr=zn=-)*2
zNAB0>%MqjTN?gxH*V2=JDHH9dD4msn<=R7i-BK8M>WF4_>A}GI7RRd4i$<SDput95
z%*F!uh(u7<@Y8IX8S^2>IM)J1?Tw!AxpJSiUG-$3F`W^$Ln+{_=+MaEfr)8WQOVNF
zIH5Cj%Oy?8Sqa<C74k)|Y-{PK_dhmzZFQN0^JIXd8k59LjLZ{u&sCAJq2<%!n1RUe
zWC;(yNgUrnYb`M5?pp659W?KsMS%{IRaNDqIrtGi{P`Id@x)Ui#~)lae0i^ScF;*>
zeT37wtT7tXof44OF*D{7mnn*{ygTSs?ds5jYqUBczdY^c1sJGC@kLzJnH-X|a6o2b
z|3d_8hG5sxN+;x%8?OF4XA}>R^I6TgS=~*cXYrS_r%(ZtNz3N#uzgC?3sl`Ng_L|x
zcD!o-#Dv(p*(nO}{k>nSm#enU`ae6LheRdP`XBtxKGd%>CT$ou;$>v~Yx{l(EO7`Q
zZ}U@qXE2zdrEw#&#`V)ueR?xpOH!YimYPWd6Xz3xuV;ln4+N;FzVcti^>P*;Mr{T5
z)=7cBV6NQu;!)eRi$d%zLUjY~d9X28H25qi0Z~iwA~)`V=&IhMc_CIp^*$C1D!pAy
z&c#cQDzbe=K!N_Be=fJ%FpGz(#I6rAG4fh9cAa+v;L3e_D?VF*7Vkb$go+LvHiw^u
zlvqg;fNecBm@ifPjSwi@z`sflf$ze)oB}Vy&F@O5YU#sp8E@kTe~$r6b4T9JLb{d!
zlnN6STa^jd{(?7a715;q^d-Yn#xk<~yh8~pILep#@^p-SbW&N6mdZtR)S*W7ea$1y
z-v?hm6<y&aD}*)KTTa$IJH;d=A7_#IJeZPa7F=znn6>Yi=x^(v-j4>1e)mrbwji&g
zBqb22nkTwaEVth~8*H<Ue(kF2M)|XZztTDY1B8ju8L{!6FPs#kr`Endzgq;<m*0%e
zv1p5gn1G_iv{GNygUr?dU@6-tbFtOr)Um-1aBP;saLu2rIs8!*pf-H>6pEq)^DC>b
zDYk?J*<m}MS3P`nT+wLd&vtoQ3wYy7Yo|}#?S9^Q^1e9l;Lnsem2EvQssEI%msL)o
zCoRd=&-sa4oiRvVak|@#c=G>RPP^eR=!fP6r93@yX|J{jRH}$DwB???VhsBPd6brt
ze)vE-=f=@G>C|UgZ>e&TiEYFD4p52hP2B%`jv;!_^B$p);<(=CV&P<Vn|Ms3@m#a+
zW-cgRfhd(?)WZ!YAhVe}?oKFT?70Zrlg_(8udO%`AJ^$VdG=<wO}g2{lUZjQJRg}<
zCRf^Uq>3rRB!r*(?~XwaS3~3<tF`N?yPHumZ;sX%hXHu;lCnv=oaXD=Ool#kq&A6%
z7t??h--<dL6~nLZM0YXVCNg@_BkMxalm!I<H?L8QX2q9Y*dUz<N^g_b5xU4Y3q^GH
zvGn1q?dEyVl)5wPGv4jj!AZa92xz}#Xjux4e5TxCF59WaG<&@_Se$DdV425GDvTBf
zVZ$BSEc$W31u@eqFKg*CECY2d&J>caB@-4$Kyu?_DNtp{m**D^NKhRP6UrxF{akSZ
zg_1T?dn+Xb)zJRUA~PY@4jV%f|H?tlD`Ku-#0<1<)4y|r*rTs4L>x2EkQ-=&BG3-@
zfz8yFfu-4phBNZd>S}{(!i5f7MYng32cWZ(4C(}Jakf7<M+b+E0U0spAIy4^09viv
zfLhhW%+Y%fPy!FZEGP~Z>S(Gj4r0>{)Y@x8?y`#_Sr*FI2l5CWg4zosT>}i+-m^@3
zJ>9539FR&{k&<9kspAmzRJ$^G$uSP*0=f072~SH`B#{VJBzDYV9k_V60wxTXGAOd`
zEUQRAEDwbFGQ6AhUhG+X{o-PqAmM>E`%oBv>1S^!(Eam-#BaN4b2uW|#E2K!VCYOK
zD3EU*LrjDha6Ya{5-g~~^(aeMq&5VaV}y`H#JtDX1YmD(2yrpdjlz+Kq$iWxvVwYM
zyr<0qt1zVcH(5E)x*Vk_Hga@Qh^E>2H<brnDFNQ+y}V%Bn(C1M5UtS}XT6_83rR5S
zMLCzs<Lm-!pC<!s6Rfx<NLXz_ctOU$1AA)~*A2i<xqu-~$Lq<n1JcfaFMrmJzF4zD
z*2DFcq3L$D$HZ|@T)boXEM|Rfl#kCuo;N~nqaL?Tn&#d=2mERGdRZ^>1PuoY0Wbss
z?Hr-t>@sD&k84!(r@K7e<l|P#H}3u>jOTDs{DC$Ck`y)%hokH)Jg;BECq5Nzm3aVC
z&6OzvERtD$!C|d#Jg7@6%p1E)JR7*lU%mJRur$?jj@HIe+=(4h9PDD+y{%=J@3BLf
zPuZDoC-1kl1^k~8HrvGv7!|w_&inP+-_Hc(A!w7#GeovBu1Lf`At<Ef^b>d5Y-aS9
zJTdz1bLmIi132zx?d31RD<BgTU-}9Ol*n@eJuJ6;)aFz}#EhG0EGjNPM;{joetOa`
zeEi&VECM9aB*UJZe&v0X(a@V>PcX+x4}M)kGHxbgpL0LrWqEpV89M7yTNvQ8xY%^~
zMLGmT>#ao5WIB;UbrkA3M>)|D4)*KiYRF3Vm4Fdrc7)+4?bpRmz$S7m|AV8@0P~U#
zzzLSF$9ogNxddL<8=ai98QbFt8oV4Fb)-IikpY%9e0jtyjGfZdmk_ld?THpmU)_jZ
z2huB{0$NwXqc8G6P;01EniVK7TV(eFB3?Y&)^?af0-?&|taUA1cut)%P4fRd3nO$!
zf_drKWo}MUw0%WL40_t9COQyge@<0|3hB)V_EaCl!u1D3XoUrRK{=R`mMgtvczd!n
z`wG*+RhSg1x~u}VoL+g6`{6<5Lq+f}W3hQKY75Q9I0*ecuuM)!#)dyvZ+r9iIva%c
z85$sQpUSYoQ&fcemkeixteHc;>{s{nG$kV=^S!}>03>LP^?Gm4E2q$6Se>$~E7O|)
zh&jCJ4av5fDNdGqyk8w7JV>7Zr;L*b{{{%zi#;9qE4gPT4gOzUl@L6Y1z+jUd||%|
zKfL%I@H_OV0?d=tBL6qc{=9KT^THgebu9Tga{iWNoBCF3<7CN&p<UuTY`sZZt20zn
z>gu69WeV17_|B5J9y*LI+@}|+vv~zjtmZtM@GRQXR!&SPwnOoqW(EOf9`e%Pj&}@l
z_%-S15+S4f(pOTTl&V|weF7Y;MsD<ji3P#n!ff`$%V2M`9z!<0c~Gvc;iHM+8?T#}
zPnL$ZG)-R`hF-BiU}Ss4x(n5xSNakmWH_U%ea0D&C9`}OwaRD993;n2mfO~*#zPXG
zBY}ed)KYNO<?bl1^QO+u*>|u)^MYS=6nY>*x@5l7{+2+QR{N00d)K$q{zJ2P1f@ly
zQUDn=DPj<jp}t<_MA*Cfc7rvzt%3kB=sg1u+(4(A{3e<Z1(W%7Z_4Aj=l8Thq-0ud
zpP<Fdm=&Z}MQ*m#f1_aqqPk)l;b#x234d7n>5)4`d9~RSJTCG;L6BDn8NUc`0#AFp
z>a3nMe(%UQ@HHO?dlwTjRs$0yriTSd+4oVI?S^rzJZ{C^d(XKp0}C3YtJ*hNsw&nj
zYNy>U;5OYSqQy0S5Z2iT)>}?a<78k_yVcnetHmO)lKCD7l*R1ajAjvDCo^CrK?5}M
z(G*}%qG1EW+-#P(h%+~;fDgc1g<Ni4O;|yHT_jf0W4V&qdL~$FFafS#84^0iam9+f
zS0${pGs734kkd%h_cpFgMrZ>Y@|1n(m#lN)tn!74S-s><dz0?=L?k{7)^Zp{&nW{%
zJ;6_~04!pb-AncG8&xyNiNAzqsVc|l%}O>K^{sqOj38w26O+r+ABZknKr%c_0el7N
z`nX&Zoa~YaYs&}2ucY8jzrsVzva_ofwuC2Wrh(8av$?T`CA5^QH@G8+#-0iHE7i7<
znn;#60;YWP@RNslLcs+%T>Z$P@|4*ifDmOyoGvDpEw;R2zhM10qOYYZGa{SLhQK~`
zXcHigSowLVgtO1GGh@4K7dR1IeJjv_2zD;72o>?EDuN3Y153UK`HUbW2E#^8fWcQG
z(k0Bc%F;Q*We-UfPFyFN+y0|WMw`ux0eQ5r<-j8zT5L{9LqlzMlZ-e!nV@Rd_-9R(
zQy3nCuk`5q8ynjFKO7^iu9=<=B@sHopM<s16XN>1hNPUUHGl_v81|c`Y+>~36!6cr
zU(*(YZBTPM<zFwHH$N(zSAH)F_LuC0|KsHYzU!;>j@!e9c7lfkmL(R{$?^06B<noi
z*xr#Y*@f@f)x?r)$Cz9=)=jWI#6c~BDa>z!`p38gg!VFH&h3Ubnq|z`TPduT8Ii>G
zOGg?eZPjhSAA30RW>|;OvmErRFMO$1#oAEINR-&bM4*FLTfm^*y{RbM7Om9gv_x^X
zB>0SIS{Y`Rw4xC>qsgB4My_8DY&=}C-zN7rSU_HwV-mEF)&H;4Owvhht9MK<3({J}
zPT|A8E-G<V3wx76TfZE62miE>75q{joB}^Tq0Y}(*93Ez7$5Qd-U4ha(6d^t+&wpT
z`d=o3rt!nlx2X@ZaxmCNR>)J^F!a^S7W*_dmRFML?EI&Q$D}w1ju|`fVZQ0$Nf~cE
zgk=y498iFbJv*1si!58Qat)WKY={ft((^{e{Tb4V$O%5wV%)59Flxb6im;UfDx==)
z6Fziid_(|Wo@8ISfv8EH$ecvZmeNaK9<iEGc>(0JnIWTaI#zU3+*`j1L${!1+k@Pb
zFv$P~eEN+FGAno6`7eXJOWD;n4SyTW{^lMvogF$MpCOrqxJ=tgp$bKn$T&U=P~VgH
z!6Sb*(P%^<2W`c9-;1)M<-{a!2uzd$!Ru`CpP>jwOFg>a;tgDJ6Sh&NmL8fi68z$q
z-JO=Kio<pfM&3Kn|FqQm`*Ty^hKo$Avpiwf(_+Cal%Md{^+hK0UV>mrOhfdgF^%!l
z>fLwVx8GZ>P@v5XdzF2z7`>OET5$z7Ok}?XM%cQR4{a`N7S;WFbazCS%eZXK9Z(aQ
zVaNWR1URtB$8k_C!!`u^UH0dxXuR75ff_#c*n9G3g$lsUfG6zCt8IV*0r;1D_xJn^
zQ>43a-?{Q51o=Fg4H#e%QIu|ej<=JYdh5O{<K2e4-3fZ0ZbXn0lrg4|;>2<zFo7p)
zg}Eki)~<yK-SjA$8)XL&#=UasjRz9Epwa1`$z3P839(<?v^d|clqE!Nr?WHY11)8R
z_C)kUz0<j2RTch&cCsy5_keX;7+42qnG;1@4c<d&nIy^=c633&A(G2*51$LHL}SdZ
zfvD2JujcTnaFXpzN3)*HBqqtET!4wQ5phe-ajdf)79I?g6{;OY-@%FkwD4}xYh}b^
z%yII#thMn*^A4hov`WM8TmgERKfLen=R-cjR`P=7iFvYli+0bGYD0ocWS)p>YpAP7
z+waMrF+%smWZuP4rif59RH;aD`kPM0?$0dV;zu_<&Z7}Jx!)5YXcm)<p%fvlC<eNy
zRhi#I%aIFt)GrXTQ1FQ#*A?fU=V*dZxY^NuQMuAv>ZyNLcTSKI%$Jo<xBtizw@eq>
z=g2h+fP%Pv`l4>)`<WnG?(R+3q5pCpwr#SvHkt$LtZWlIvg4`j015Pc$$21h`@|1e
zc^mtfjO94Q``W5+5|2O|nKf4|I8UZ?k21ipGyGULw<reuz{9U<liA{NvrS+Iu3hgh
zKI(KvI6tL$NU~uFo1M1h$}<`h>_|x#Yc>FG?h1`Q%hUw1JIF-M?38{kDs)pkC2l3V
zx~-uqX?o)fF<SVIEj}R$8>joy=QVWr4I%M1Xht^wc>UadTb06BaZ>-tWJpP4|BM*V
z2&^zUpFicc@O?m?=>zKCh}}}SDM(((M>LDzqGPN&9P*86h$00t$MjmWsV&Ikrnvxa
zX;aSf-<BDGXGsDM<C^dHHJ9xwT1&(<^4eA7#uWfUhRU=!Sx3@}qoR6HSq)$#=HHv@
zA#AZEOJTJgb&aE)xkf8J)D)DxOkbeQqt85Cyy<TXQz8IgfznhWFXz3CF89sl@p|I@
z(^aX(?QSoLP#_FehaU+WW#Ws%%Mk2S;4TCGkgy%yuWh0+nKn?S*J*K+bIns3nhFLH
z8o&;Qzb|VeCWkMX7dIIt3}-U`^SQ`zAnUQ^UKt~1(4hqv9ZQw{jjGV;PpknFW+Iw5
zL4E)DX6k8&RrLZ}YRy_S$+nMCEWo1}2~qrrw0*1o&6cvdtHB87SVI>nKwawMs9)sG
z&uu2i<$%iv`D{?bn@_!`Q^H%I>k0R}q<@MV`oT`4;|{w#Jz0(0Kps~8{D@)Z9gMw%
zST3|%=;CT4&pZUTd8qGET^d7<+_j=Y2jsirP0SP;o+WpCpjm{2<pfueK+Fl1P=hiY
zU52dI3NlCsmDP5p%M{q8c?&rRX7G@Hg<EK9TWqQ`@GrPI4xy)?96YMKY2CsEh4Br@
z<5&Yx1H`lnFVw)G3Fhi!*0W2nji$K=Vy(sBr<4cferQdX`Jb(NNT~o4M=kL<5{`O!
zR$^QKK=nul)cn91kTF&A#AI?{b&sPD=c>Vmp7lSc{zsawhbqvRIHBbI66A5FoUH+k
zCGs}}RW;x!m{*yu^jmmy&;3kOxiv9%E1oF*SY(%4^m$|G_v_G2=i=GKEgyRFidR};
zk%WNV`;#S)TTslfsYSdz@-Z{f=w7)>m^Jl9_rYn7=jXPKL|K3#twOPcVYRtCng^<V
z-kAc-7ueOU4jgs1My6%yo5U4xybmxhrJ${<Y9}L0g~dDX1Y1deZ2k=oG}1M57JHHJ
zd<jvIURJ|}vdn!*+>qsTFawYg8jZrLOXxn?&z!(EI-+H&%Isyn4p@KQrJ#mls;K<L
zLcz~tZw)YA(|%JtK%}n-Nn75ce_TJz=3zj={~bt0zdl97TvT)gQ~`J0N*s#gQza|?
zP&^K9DCjKpLLN`qM<rHvb-?9*^NyiaaD3FoJZ+1Ycw`}SYd({9e$nka|IKO<%<f=E
zq@Ich>9?bVj`#-dyBtW<=nmwS#5w8hFg<IgXpx%{1sat;j`Uaou(~X*@0kOo4S%b1
zumNyhx&ly&Tf1cvRON&DF!S}$Jiu^c=$r=F8Tn8Hd3~0R8iN%-Kc;DXQ=^AG%1dd=
z-JOOiE`O<ZACCTJGx7I`Nf5rGN|NnzO;<Q^uy-woSlaiX0zjc_E?|Jvdg|YEDy2To
zD*Kw0tDbD@Hc@1YR&k+9)pp!ol5CfL_UADBY)*=(O)UZz=Pwr#plQhrYVM4D&WMD0
zk<Ezm<)_i;eiy&!{Y-eIaDL*f0GDI{544dQV#Y4iW5y&`v}pGyMY2_)r&NYsFqA@%
z3brB`p9tih(<cB<C&e#@6R>ocge$U(@jXTmUaBiq?X+fApa?Z!PEbgryXsQ53zHUu
z7!VF`{Zy*WDl2kx+zr9an}T=%u=K#s>iV=6SlJd=nkllo6Nc`uH+HYRCamb9FV#K#
z^i2*!gp7`qHQ|D-u)Dq*i2^r4wsfQ9*a<tRV^pyTH6-2gNbnE76HF_0m%lW)zp0LO
zTrhb4u_fsdWd1{qF7bzt%tGJ~^Sdn)sDbmwR{L!dw47m|5<e@rcL0`rR&_T8z$s=|
zQZh`2rpm7gV)|5G9vPrYRr=Z}y<zw~?(R5}^5Jf<!>VZmby$B)f;Z+H|3R%_LwLX#
z7%@R7@k%oh9AL6{KB%)D?>>?T=|sC{RG0IT0a07DxS;+`;>%$)>kwGB0;%p7p9}mn
z8}6r4WM4Q-iZ=!~9`!1o#Z)(F6eO*#hHm}uE+~y!^vr^8gy$V}AMIc6i7QS<8vLR_
zc-I3h=?{=h0bK%D-wF{Rxy`#oRTfJ5rc<W1<kv-5!G)Xi11F%30AJo8Io1i{71_m+
zUI(+bVPZiWn49rbuo=*la`W!VZNa>-b2Zi)6Jj_vTAZohx&w{#!fQ!AtB(}uEs3kH
zL$kw{Kr!=RwqB<R?KX)qKtj@wrI=ZW76$TRQ>`fAIpA#n4FU=|gywAOy1FFGnSjh|
zUjsW=rG5p-+^s4lfkEQ#=cTBn@>Ae+a(m;%jUr!tLzAtjKL}t@8hGw!C2jy}C80Ze
z6Xb4nwT5`omFXkE7Wq4rXmJ@kkXJ3LN2$5HE8=2@V1KObkRUJ7X{E@1tZX8tW}vr|
zvzK|=k&SJH^S+PbP0wbzh3-pu>qp?Tl?I~Hr%P`q-%8V5p6)dRu2MO6aSTVVB{#HU
zy|7rb>FZ$D4*P`x4v<2f%gM;UUGUq|<oMKx!t81d73npR>$6EI%-XNJ<2V}iVO}*K
zRs@M>awCq+!EanrJ)k4lyHhlN;DZ?uG&h7mi|vpHjDPkzyottf!T$|VGctSju-3&7
z+dc}K6@n$}7-ryqvJuD%2N(DBuIy@G&elf8eu+s@N<s&Uy`68}#U)w9UaGY+KYR-i
zfb@@}rf0rjHMZiB=g2nQpiM6%o&E`oMR)0OkhGcUq#h?NZu`MYUr_^^Fby|8u<YQB
z2HvL`;r==bvN3g+7L#a;zu><NV6y=G-%Nt*g>W-0fjZ%e8WptiH1#!`fSz<wq$Pht
z^vB8_fuP4DYW`{%(5Zo)0YSs)Qa*TZlaJcUa|AHTFWZdzBKu#-@#7P;xX}A9E4JK&
z!N~#U(9{zkKg5bR#Gz1?M~BR`I7!d*E-cu20ByNlmI-`53un8M*MB`u0z#hhh~;_@
zZ!KMAOi?OAe%Tsg0cM!4r;JshTJ~V3$X>6aGN~-BDFWc`>D>%uA%PE&zve7q4<PwL
zKd{`t7GTv;^%gLDBMdvg1p*hAX$hw+LfPT7ib^y|d0go8PJw9}DD#6WK1~>o;;fsk
z<Mls>t+?iblpA@0H;1?M8uhh94Uuu`r4m$5XYOr}1>0cLqwALMlfY%JVNJ7eG>Zt-
zpeRi5BBxe;f)+d%)cz>(ZnlZ{^idsX;%Eyorl}YQ!mZ%%N~|@{1<CMSU8_dx>;?*i
zjOPBwT<~?#BV>;sEohDXU@)g@=6?3uB6-e>7MzyDxwFBbaG`LXQ2Y+CIzTezX;jz#
zG8e#XSQl4$q`R1Bx;oe1Ry`Ap@dVFh0f73oN9@aYpoH}ldPrpuCjTuFqqi^I{RrZq
z7ob_&JabdU(ZS4oq0l~Gf6B_EXsp}64MMfJPWzq8yJkd=BZ;%q6GY;!SQvvQ*k;5j
zPK#3+d=x?=1fKOX$bDz0cY4%aZRZP{%Q)?oY@sM6p|#RLa1Xbo@#i`i9`T72CSpcF
z6}Vd-9BA^{2BX(W7V(_`*^PRY&yFqj8rN@;rAh3>?wqITKP5B?JI?l+?K&P%V7O$b
ztVqAHE7|EJUkaXbX#Po)GGYIaTXis#=g)vR+Ld+6_6~kD_@0Ip?9B?;TTfX>964Lp
zQ#&3%gjV$P^s;U78?OG%V41c6#GYHv1rM?6p`OC%EnR2*-IJ5?e(L%tQb(Jfg*gn6
ze;S6Zyu#k+J$$9~@~DZx%=O~2>iMM`%#eSqQ+n3T$8x=$SGNR8d(?{5x5r<SLgpWC
zZnmupJ5sUa#m$NjT7?i!e&|tI=`j0I1xM?t#rmhyHZHjfaF=UtrM<~j-y0(QA&3#q
z(P#Om=YBS&iS?QE_y4~afPc9pd@nmki7Ls?Z)>{gQ-6rt8SKitr`_x)58mf)QH`OW
zcI8h{P3_SgNKFMSm>s$`PPX{a)cokW$B<fYpcJP(@-Efo<iah3$Wd77G9$e^ZWouB
zD)V^<CN?pB`|p;>bCeDp+r`qO!9b^7X>M&^a>y}%eQ4zk8>xlPY+&4RPD_Am&j(t>
zsq(Q)ek`Bqr3!1?Ibz3}DGz+w%B=E3covEbDt%X=)!3Hv<1|0$<hMcMdLi)@oY2mF
za-q~<Xu>_N&Gad`!cPb7Q2jFUM|U?8s4bv}V$9gj9OfN_NBq4AI9TNdT~Ev`qwN&8
zXO6puQhYDhX?rN=^o;p#@6hO(0+fBM*<kDzlX~uXZm2Iv&T_QcuZp>-fl~#9tN8tC
zxFCmqYRzj_p0C}R+g@AgEEyz)Vc`4}xNld99P9oD^xWPtXhNGDAH~xwCTeuY+_G<g
zR^C1~zj<M(zYckc{QZJe;s6Lxxf%U(6n(tsZcs~$82sMcAh7xYzDb=sY6{`iMtKGp
zlZf1hDL&E<(HOGPaDNkpR$|hhP*1+l3Sk%)rkH0Oi-d`dx*5$Ta^}N^)y;PIrg|9}
zK0;~k6WU@c^me`5K61|Qh}?e^qmo_(YH|ZIH^!XTg;}g5t!y4p{cig+o6jyJ8Fm+9
zx^v^4!%v%Bh;QjFVV%M~b-SOU@Z9T9o8j4?n%oxV&!54`Ja8pO_};7ZNEtSgbjLfr
zzJiM1aL2X>$Di6rqrjJJ-IdmU@n~2Y{l=<=34DhMM}(JWq^FXh&aAnVziiSz6*6s~
z?m#pYL?g-ZiqrgssyF|AhqJ%Cfk??bWkbKUOKs$Mv!S3O>_67rR}90)y9|vc79yG_
zyu_NYDiztvHeczmWTI_#=b6zz{R>t-@$}G?C+Eh}-Ls=LgO_~~e|*P5NYYcQ9{cQC
zj21N4TP*tHpBQK*^MGilZ^Vk$fBt+d8Oabbr4-`Z{vvMpS+pV-nz}*0Q*R?Qi%5uX
z)_k{QjjUf4R)t7t3lJ%YWYE7%R`RKt$T9X?YFTsy)AX01!@rw+qmQ|+;P~woi~?~g
z<U(lbE?Neye_zVqzX+=BI>>(2b8)c786b?7c>5fcncET>(Gy9uO_i1kRrMU~%&*mZ
z*XV>3ZAYw<cV7&*rhtuH18>({^+tLBd16c2*~*^T;1Rs=z0||g-^4_YUp~GX?FSuZ
zQ|6={VIn4aAX<<Kb1;WCzh+mHUcq6!_8aB=nz)cMuk?(+vQePjBA#oX;VRQP`8;O7
za2E0iH2TV<XOU(<%podgWWkMn!Cep|Q{hu7zc<PuljROEoTk15d8tlk0`}kW5y-TT
z@!}vZsLDidRvetd<iabM3ndzcr(Foj@fwz$Ke(S9)||~@aba_?yOdBVh(2Vr4d-55
zZ$9$gw>4PwFM1GSi1~;6F(b#mM}r9KJt_QCb?@yt;=SA)94)|0fs^F^=Rls#qB*!#
zanEaOWx;Z$$U|x+KPP>Y4Af<n9{!{4n%uT+E-mRaDOm{&4Nvtd{dM#71e8;;8MX8`
zm)%z>NOBwMY-qy9_dhd}JVs%vv8)A~0=p2&XZf$L5@O?J!<4~>TetnmPCET&TO*SB
z@a*b`J*Z*Re@xElOMLD7vCrD)TcKF;!JPjFHT+sBv*mnL2eQSl;Ks5pmS>qUKG=5B
zFAMuL*?IFH?_bRHohNR#8~*DLY7$zdLQXK++o@cKyna?Y;+dpyV=sRj@6L>i&ohDp
z-n#3^zMIn$x%upH#*i&sfe3FOkgHk9pQdy^`G-`oz-x=`FDXw4S{%Bhq$8fs25R4{
z!%R6uvLTQheSM5YMabs%j&)>7&rBw5FiCb(hO&4Q%UQq6wn2Rs-=kT5<JqZ#77A$1
zK`TCJz;!<>=+AK#$T_+Q2fb@3SXJ-G<lFofmnS5-w5h3T@-}8OKZES8U7u4P!39VG
zuxsj~p1w+I0lmYzEWQEl4P<O}_F_yHcd^#)olkW`RM13APD*HD(4S%%0`@)IKNd&2
zYYaYp$EPiILhM-kSPGXJ$@JTFdcSG$!a2C7lp9jh2{9DW)+ClFxG0}_Cl+_TzbNX9
z1SC*Jx42{fP0VU<5Q}0_JQ73;*0DN7`?}#xYAJB4&67jVosYB>^piY_NFbzi3Q50d
zPtc<&b-X{1=O15KmBl~lC+9(S6!(4W?q-Gj1IH@4!Ns)LIWL5h#}6z#tLC35b7MdS
z1Pf-du-(<a23;Xv(Bs?2t<1JBrSM<DjdI^az^WeW&3c0(mFO?|@gCP_4E`_z2^FVS
z{kmSRF8GS2FSRGAyE!hGAcN1}oD8T<0v;=zTNA3d{pE{00N1L9-L4JHuFkgG2Oh%X
zM=g=MLgJh6+-b5obN0UBOr>yBf;;NUA<5wL-m*mHwzVAfpLn<AvB<G@uM;Dg7Q;iE
z$}WtEvP)H(;BQ}5x~peBz4x>)SpGB#8&Y-KXNQd$U3PEy?qK1~X}9;-rTZbi-#|oP
zQ-6&VD%j3C;}6kL-#j%rzw-cu&!F;l{*$8jXNNwC-S@lw_#>D`2?=)VbV1Wiyn1|p
z)V$%*rd!C-%C1p<EtiwD+D{Fcz3rP&AJ^LKf!B^TvDtt9cb9VL5sjO#g{eG2+hD$S
z9W`zV^HN>Y46q|!76|;;KE*d$`EW{LC;ucSiSzYg=L{*DL1`vBi`wGp%S7UllpU(<
z#hm*tL4DccPj!W@HkpKMA+Mh59cz9ahv%q9(^+qWYy8xpkDwX$b%(sf9eej<2uV6Y
z|KZKK38u&5#|tv_NH|$(IC$a@9&Kv4Tmp8ST|dj`=m$-9`uvLIX>r%}&vsL1H8c$a
zhf;b(EgH%*u}MLV4T;&_L5Jxwm@T!)vYMY)6G^hCe7;g!_(`KaF)l?~lN}#I4Yz~p
zt-N+>vPelSIGCW>yc`B<!Vg{d<N$ynZTCwffveqaM6yBbFX^Ng?eA?+9xGYk^+_dN
zndhg{{%Lv**#fKfAc#)dgOXfM@3@%u8;-w2P&u9N4yG;AJMA$Td<D2SDI)^C4HeG*
z*n_jsFdi@MIKPq|sj0)Tt=4og6>fxeGmxm9X%^y*|M8C)Z5VEGFNG%u=5meF$mXjg
zI%e#$C(89a8ni8+KimQqKd^mO-6f0=3;lbcK{kV$cLHnnA(A&LYE(lQpgyq`DXPzl
zk=M&<l7!gN#m2JnCn0dV@HZ^35Z)P}R=JkfwI`9FGr1yVFkW|8!%+c{xwq?0R@3Fo
z8&xB{MCC^_z_vbXKnGbk1)JSe5zPxmm4mwH^1nDN!-iL(kT#%Hyp+Todqo|oTzuvu
zI6B0cQXwy+U#;sav#vsh*HA~dcZgc}+l8rAG>Oal-Y1abkrs>UkX3OGwFTW(Dx=!$
zmhN1BXi9vIi|P7a&A%||llJUEQrG+B6u4=uGP!$FO8%>TZ$O?_s+x2X7}P=-443cR
z-g!Q7C0nM$uc+#Uq_z_ANc0&!l=L#POs^?uz5mk`|4z`!x+3y1a)Q}@UjH_PGx^!d
zj6*|$y~*VGb*~$+mH$MYYS!it8uGQXZt691RCNptWogdDVP(D3ev65~R%%`$z4{yj
zH5HGp;N*FW4o`3L!Dg%TUnwC6Tz@y~uUg|@#C}=RIC+E#l`GH@D*S)!z4<?tZPY$|
zA>3t3rjU{{PnqZGHk6r!%u1%r^G4WGGNi$rIb_UG#@N`B2J?_PY$PIVgv{^S-Ou~}
z_<sL@@6!)`KDK>c*Lj`ixz;+?v5s{?sUVeBax)a~zduMNdwq5Lk;fPQl>Fs{ti?OT
zeSU^F;%q2U?p3P{sQHKkD|ZPZoL|NZ|IU|JMz$8$yZJ^UBIS0UdT4j#&(l~D*0jrA
z+)0<xye;VFSf;<SJPGo_P(p*;WB<=apx42#vxsN16Z`z;10ie6DWD8Omd5B2-}ia|
z>Ix&6TxMfuNg*cMGMf$xv&c;kP9GiScWk+u!=r3WCo@v1Hu}P*y!-XgsAYk>jHc+5
zM$&F0gaO|^_xi$){?^#7EBsj(#B8Y$#`3t>HPyke!}(z2a{IvsW1K>eXo4?~U?l4a
zI#(j3;`G(=vuv1pj4gJ&HI;-1z53!eUDBu1U|M9^3e4rRiW-5rDjLlS$hAUiO0K<7
zKmIX{I|FJn0l;bA!bb#cI?hJMnny=!ZP}A&v-<h>lgqmM5c(~YA`x`;=i2P#h+%i(
zbOUtfe!_8WzFPcW7xBKP{$>7<42Dh4%xwKNDhv(<(&N(Svy?K)zP6laC+hC$)%$jK
z_<&`d5|I^PsUDVl8Ovmv@W(rB-j5QY&mFVKqMq7L-Ot4~eu9`<|BU0&2>;0BvWIaa
zi@4DlO7skJDyPw(tW}{nnpn8}<32}N%AZRJ&(`(9>T}iG{^>T|zNJ`~QyeT#pr(n9
z%5}qV7Z9Zw=>7Qt13Ud^M;@%1)=*b#7~oz#KZ*QHK7;#m?`U$#<gM8xFaErO?&T16
z%|Hj1t$(t}VR%7ka6#zY^-vy7u2UGKL2$|lA_v30?K?bzN31Lh(R*eAPyQgD=lk17
z?j1!`h1pm6Elh;rg*`M`v<9Xs>!huSksdcG7ClXJVWGvrY0DH}ee;95M6StQ+7pOg
zI`sfv{@-w>l)AH(KQ0UD6XEQ0*EGarQLJkp2p*R|itK$V92};(X!t4V>kF<xFRs9x
zJR8aqOBz7=l^SpWF^gZv@@gW68;o#UDo3l&A~+Gt8_B63cloA1P7Oa*?B%yQ&GM0)
zWLO$atbBUVw&T&-jdzUVqu;_jww_bmKv0IlUTM@Zslx%k>%x?Zy%o|2GKnkR!4CAc
zo<W2-7iV>=6PhjN&HJS7!vo$cQX+B@c;lIq5yPG`1@JAU+hL^Wl#|UDbZw63<=`|L
z!Az{?)zhlQF6R;<LU!C;GrCdE*ucPqx(nChtBl$nA~|`v3PTgYLuDu8wiZj9^F6c%
zDpQ>LmiyMvBSP#?DtT=bt2L$k(dzqK>G9&rg<5QM!w62)zq3#<K7bzOrKq$!#HKmI
z>Fklnd+P!jx;|nAYBk!@yPf3m*EPp4(DovTqs&?I;MH$Dc*)@~g?-yCucvV|h>)Aq
z9(Cqs2K|EFPa2a8U&v3OA1)fdEX2lYr)JX+;%K-4MSCXmy#M&C(eb$B$C5_4)H>x&
z612o9^MmP^8sSU}RgWE?0Xc;5H+^uvsaPC#^#WUhO+@U;7<$VbV(i%7i@~C^XIH03
z`i04ogq%nk3~^hX2UeM&?m{fpU|#~gj_ws*2+1;icV7IVupEjRuJsT%TU|IIb%C%k
z&mh6#goU$q3p+<ixi)_Rvos=UD0K?+78YA-_VziXoa5}Xq(%1NMsWEjF`5uOI3e6<
zvmiWbB2?~rIwU=7i_RQBRW&<|3ca5C2qBn`Q2B4wej-$CJoumlMm9{bnC_nIJ;alt
z|CX<!V;_t4%BQDm+T$sVDX+UsNzem&sGswPf43*$c;;pP%jyiVwxd%>1-<&1bVy-C
zlB>o(1x9Iq#Z9v@zFJOeYzHd1se5r0UMF`O5zoj>l`{uPcKYqRfj0Eqp8;`<#LA%{
zWXyFfsK}F$Ya{g~nJByOS7J;zkM>KSeqSS27Ffb1IqJ8o)00jq09eG;d~CWAXr8E|
zWT`P(twDYY!*@R+;1MLvSYvfIj4$iVRtK>#xd9SIS*2!n9V2q^QMB%yG&#UT!fyFg
zF8=FU^!sU98u#E4afO*7ZZZ#0wrO&qUc{95{*`0B33tUedQ;T`c&;8jzY-$kj$!TL
zjsFS%dH1fyXUI*Sq(-DWL(e+fZJNyEYg@4V{2VO)kL0OH(SAG)s3!0EmN0{ry9O4m
z=$b=ALI!|}&Q$Ro{ccZby_V3@c=2ZeWdEZ!L^w<?6U}h>xha1p)YB}k_%NIJJ+nS9
zGNe8pwNz)fB-LYUFHZt-0nm+tpB}Yv&qbMC&#mVGL8V)y2R?>1zJ2Jb+{m9b*3!gV
zEUeimZ$X5viEfBH$RHN(ISq*K5jYNiGL?bnJHLuiO}m<giR@wEcs;m7x0J){M7jtO
zL(-P}Ku@CI?LmrI2pB#I#9qs<tuB<p?J}vPY?urmm}f>Ti?YWOxTy+nh2^gs#1$Px
zF6RV@Y~4Vrr5WF3G4`*49mM|dov$?45i~YG`^2Q0FMjsi>tC{S859T;U5H1Ji!PH#
zBLyb(yf6OkIuW*ka#PLuy6Z*QG4;O(hG4X*UuyQbsgZhd#{%b;dg-RTmcxC`q-B+E
zHieZh!lBzN+ZlUie~B6P(+sGH&*=p&yI!5J;rgbCt((rk>n_S~g8()8EUA|k$1qWj
zz)&EVaXr-NL1*^Q+4ixZ<9#bgidW(Y%b&a5wwKf2Y7ur-KRABsdA?y*QA+jB1qP(#
zG?lrJ&ux~|VporZkc>e+C27|nKxmGe&d*vp;k+|3*gP@Bm9_k~nMzL7A{;E;)Q2*d
z(4JfLBAbLzEz{nnt<Zl}I(>86Jmd~c!qQU7hh^KO!tgM-ldS)vi%0kfGnhoBieWgx
zLowYmjqi%mBu0<CP^aPr7*TqH)Vk*#;>p`e5vB9<g87@Z+B)p=R`<|Vh&Pp?auG#N
zFrim@y%m}b+=AP<>T@(SaL#zPuMNjUa7licsDs3I$rVe=hgfRRd)aN5K@jq(uEV;R
z(4zvPoDg&kMdWKudKB#v=d@MGWjGer!rD4{v+s(gh8^|)Y<!44f9QR+lj192=J$lF
zX#FOBe~;fAHDQ5cV1qemI?sxC#I`M3oYOGGn=qn29XJvp3$)^|^7l5Y$c@WMCALzm
zX;rU5B(j_;ru30Txh!AJUWh-hH6X2@$ob8c7|YeQcTQvd3>Tzdxcj*a+r8~M5}41H
zh7U&VA#`X@FyHYu`Fe^MKRle(bcy%*;uI-bHzx9Z*W?5Qh??0pVh{ev0b=aO6}4V<
zX6u-gD{x*voF>NF%P?8Jp6c&k+b*%}m94JAE*pXCu%*a#&wCdJUMffO$@!=DK^E~`
zhc}uMO~oNl%Nf=-0Sh8*1grCi;IEC<B8J~8g?VmQxJLRjq9nq?wxSF9kxH4r8%C!2
zPBHOLyst9hd`t)g1ujmPx?U{e^@u+%xcsU|Jo?cjF(SmnhbN<z)*Tuku3#XY$|NEz
z8*f!;C2!EBT%vw-je?LF5$>CYnYi5dNp%&Pn?b+ZsWkToW|R1iy%6lshlpW$(kXM%
zBsR<)I8z@V@0WuzK7uL!`&Q=ARl=eX3j{G&mFkBDmvzkNI5gL?XN3c-F25@k;|ml=
zjnD6DZo#+58iBr0k-jPBSfJU0;y_)^KDu{fKFEN)nFqf**b3%(rkf^k^~;R<m)+Yv
zlp+rhPro^9mSIXIr@hV>+YG3|ut1CJe4273l8VS^wHfN{R>C9LfTaCJ=_HG9p*vM-
zZIACMBlS^csL&aE%73SlNUcGRhaEEe&2hUV`(Q~gsq<Y4T&NpB?&u%HcF^Gv*XXbK
zcPqT>sHc)l;k}1>H%^=&#<u_Z(5C$pr;epl{ReSjv`Kvx_r%%B2Ixx{q|(^1?l~O*
znyz?`tXm%6O1(LOK$Y`y<YL3z+~E3|9-qir;PsSA6se>({2nKq=b2U%LTb%lRq~mO
z7~P#teP1;a!ll)Z`v+DHu?X&c!J+uQ1LbfgiVMek$@y%~fhVyP%*f5yCPpfAms{a=
z_d3+bg%MY4`hIr(@VZV+2k}~}!dXO!&#S=eU4>#_Ud0};&k{57xFkLxLMw#~?TVtQ
zr^cm&(wqVZ6&7XYog0tVk(?)yfw><T$}ZER<T}%J0ML`hFsHl*<CbfiwSWBcdoQK%
z!}n+ZwJs*c?oke?1)5~oPumPLuohb}^d0Qbn6z2dkDWlTToKGl6tWu8SIjo4KX+rk
z&}J%eM8a9*pq+W`DiKaJ*QYBQLiXi!fOPfBr05zE=elnJ<Q+$N4Ossee+E=ry6)R!
z#MZ^(7IlS8L!9i--8$3kZH;q^M7XzlO=$K<Ot+s&Bd&TDWMws_*yY3E(x-9+I~~@^
zJ2&-!*n_EC5c0S$r;ro|2K-}U;mgh<j$CnKX+((2X^AM=tKoI$Ew9*?y?Mio^hpmE
zrGGHOt#AxJDt)@2XPv}Pgw{x>%GJx=0g`R;0l{<0!ka^{Fc4isDy_YK$Aukt+1&II
z<i{s7!=L|TfqCXG<WE6ft7}g#9DD__9B21g;_S3b8*7X&EEusj8~dOJ=J$G9&(~i>
z7FD{S+gZqOcALeX;DBq@XsICmT9Dr>5&o$F{7nC4a|EkyMlU7R|EZ<fc;4GUB;`cK
zjd!q6eysU=fen05_dFK=)IYBo&=A^t6}mUCt7+uCOG4|Yjf|$<%Hr|r6t-UbiCali
zI^JcCKchL$4L-9R3^3u<2XWsqOO@~xs6pJ6izO?g`mMAxUF0p3GL%KUb`U6I8<(z&
zjPe<cw!29A{zh5O2UXg;TYnJybsa~F=8ruU$W3X!EKWfdUG<3=tD#0Ky;=QSgldHs
z-;u<6VJr-(^cxI49hboEVO)2{HPdGvEwOEj)W0?RR;(FbH_?1i(_ugy`~o6*vEgQo
zce80ibs?7ZfMS$6zJ&tbQW{5AmU()xkJDN`JitQ-GOzNxl8>p==uwSJgV|3nPo^*m
zzp@P0TSE-^4fBfXc1kV2%-1-^;<KX2kRk)%3Ru}NR=1B-HMKI@Gru8d?HAjFp85Zf
zPL*#&%uXv1!kCQQOnb>9t}J;hIR1N=_|K|cB5bWLxyr3x9=!iY?yvw=>yi9+8jYS*
z?^B3rlJsEyH&YtF-?1tX+|}j5<y2DT2^c2RFQo2pPS>mI%ALZ*-csBFNYN^>YD0pE
z+k9>1KdyZH(6%u?K{PDj>tEaFQ=zUXPI*(|Z;03Olf*rwL|h+hHqNV$s{x`|;Y;yh
zUg5$2ILaLQWR?v(Q1qTh|NW}2EUNK6<dLkp*`$c&7lD{eAK1U=Vz>VxvenK_In$fY
zG}!lq*yFeF!!}OjM(YdbZ^E@n!F&A+fl14)wSPRy6j$P;?-64gGWZq^aVrJ0)BBGB
zOS^v6qnF`1g<;^8Qp_qxl<grWJ1epBou<T+qPG1$vG5~(<YtPQ_>E3jlJ5042_tgx
z;-51%ss*nGAVr0LZr9vX>8BSQ<CF(5lS4ME;&Rjtv{4y2lWRvInm`0cBx;+$B{D&9
zq!nK0ay0WXL^I^4@0$xq<w-fis#CO73~zEGQiz3-8=NfF4n7d8g^t@)1!=My+jMS!
z=0#q2v+Dva=Cv}(rT6<IL;c&L3-kXHBa*i>xV`O@5{cJ_*)GUAulv5r=Ijs)T_r-7
zsIg(Dcz|UKsoYb8K>qrL`nr#p!rm-+l-6NVU7cTVkV@wsovKi;m;Odq^&O1M7jn~V
zaED<utC}p=2*9XBccU_5#0cls6!@%VqSX5$(x=tG`$PCU-ap0=j=x*%_T*8O#ynoK
z1?%$hBRL`=^7HC++Z}xEB<2@xaz35`85WAk_BqOg#W>~JLy8uhIN9P6QYB<!VSw{%
zr;&wx#h^?;ges_gc;knt2KkDyFMc(i2Es?c(!If=2(I$GhJ67Jg~EMA2<sWE*Fkv^
z0i{2D+$D)}Gz#o>RBetc!>T%JY$Kk8iadkLobF!q+Xs~QkehWy3D>%pF2Dbq*Z<6_
z9<^h$5I|hjfhSIva4Op+ox*ViKO!u*(2}UgRUK6e&WN4r1DV?aYCCWq-X~H|x$g~r
zX&btlmWtR0=dM}03^z|45U+_wjQo1|>nfs5$~FJN;|p`d@Hk&49i*nL$+Cky!rMbq
zTVr(1o{eY-dIr$~B5^_O&HDxy*ra}F*N>4-wGSrk$BVBN%3BekSyDxv%2@ARv2{~!
zB0?nLkJ6<sD(R1!He%&{9FQE2)*bhPzxiWwtdoCu3LqE*xdi!>$MF$P7B7x}EX_?t
zK}3_}lwHV3e5h2N3h@y!cy5;3=F%)8Le(vVZ`dHu;AOpleEs(z<X5zlQ>i_91v4Dw
z(R{82qS^SamZrVW=fTTJxHuh!R8e3|rd(I?^7P2vTYcJz^e<$FQ@I7}(b@MDheSD?
zC9g$<O(ST(boGUEE?p{grf;Md3Ze(EXj|{ZLJ+A|4X-1%COlS}h`I=sR7&7ar=;J9
zL)--PR<(#*NzI#H(Hu|7H&Ze@uq8!CS!7ZCv>M``RVNWYk&`V6$G;y7P1Ua3AFT=z
zyprLZ{5@t>GLPl0W6KX>rvXt+NcFTa#rT}UOc*L!F|YfQB6scL$;r>87~tGk7a+br
z10OzmS<HFdW~J0$6;5=L&_C%C0rp4k*|5>B6BPTa99iYtX%@KopQn(o!{YMKP)%l&
zT9vf7$c3TYGFtDH8?Yv0g;`<r#SeTqffz?^TaCDUXrA~+?6Kwo50X>Bb-1YfZ+Klu
zGp}Y3O7RpjaXK>q<MKg;F2x=qoy-pGxzluJFYB8%Nx=MVaZkYyef@Iz7fwQ7O*LJ9
zZ~jTX+`ugECrX6`VU?l~){BD_a+Ah1yIzeHeOKIT+RZ(D<UNrK!7#X?WTO#Yr<=7i
zWfSs^?d>r!*1La420_>nO*NGpl3laX86PR{wW<dWisoL_&LDI4dAf}B-C1vTi5m?_
z$Jq4&K$J-0EWk)7{*g){XRHo4ecsZj3W3+PUC(!l*G4qgUUApkX5dM+{M^PM9dhF~
zV{fAK-v_RUrnE+i-q`kyU%T2OTjVWxlN&HLQY)aJx#4QOvbpBzHExncIOHUUUrDL7
z@4~1);)*(BQiZ3-V676gROX$cw^_z7@!$tw9uuO=Ow;e|LJpQKAirR}4ZHGHfeaZH
ziWM5?0`MFMF8_S@>&HSzwx7;Or6UHW>p3+tq*KE;eetqYmD;RG<*okGc5$~4SSHJ7
zB9Qzpan#>T${JBRU;F~BnI;)@2StUbzO+2-1ewzAJ-*$>f!X^*5}SqpAWr#43t1Yl
zR1X2mYwBHsC*>UvSZLm6D(#j}+kK0bTiJwjzvMJPQ+sxk9yNh|=kZ$c3|RF91Dp6E
zW;;`@K2bFH7FLl0F^)Mya*hqdDoTjjcil6tCS09<?aq0VbuH##l5N`t87*1-W@oam
z$6?t4Y|WWLc9%s%HmI~WI6->pt})uGO(u+d9k{Ij%6oY6mLGpB3t(=@2!N&68J3}?
zD%+eB_UByD>`W~k?{y(Z`=_gKX~?3a+MpPN6v-^)8&-_cPxtj3xqnaV;g52%JqAy#
zmFZmFVK32C{Pf8#hkL?@rkcIa@Rq)k6i%Ugy6Xm?KGl@J91ijlUeFCC#0Z(Kc(S8Q
z2-MjkhDAABTCC>HD;c2%Tfjk`4S(aH%G*ZQZ=Y*-+s%76_F&RETY(W-Vn-<qjwo3+
z8qJ$q7X}XXKMf1f9x%8)M}lr(eMFaIB=`C*+s%mHEXtb4<Eg)mIG@zzA(d`bf40<C
zvSVjCz(DhR^SF_s2%bk$J~dMT>83cpkKJ5|xY|ACbzc^VvEvslrS=@`z#<#OnW2u}
z1g?-b<A}Qm32$2Tk5E!!!KI==QfuuPB?HK2it02`r?>oX4#`%MMGJ2P5Gc2yDA{No
zdXz;w6R9<nMsm*QuGyKcrHFO&<L_D@gzNF*iIvNAH}JvZP%x>5V#pEfCycq*M3Yuu
z`6xb7dhiNVfRH6yMk#@zplLVT@R1~1Dnjy9RK*ivdQ@5BXDbNSILb`0En|308Gg~e
zpE$Qz^`1jPXIc;S4h7_^>bINb&DBMDWQ?d6LZ=X2k&es`pT*nCOf3A1xcU1)Qs4wS
z>RMU^D06=vxg7mivOCy2i5R>h1VZ(nzXjPYjMP3cpLp1mAtjhy{=L{JOVV{0ffpYM
z{F-eleELMDM!erqUsSNL=4lYbyF=LLGZOC(K8@6@a=n)Uehw9V@dP^P<o0Cvk=L4k
zl1pHcLuQ}i?xdflT{M`9Q;gSGbo}CWYbM{weeJ!3srW=K0$(@e(7#g|Tn9)k<i~u~
zbdD-3Sa*MWi9HRd9)|9kgiGzFeaS`ot|VM}G{Q+~?vnfcd(+UT%!}Z#4PH6nVwV)~
zqziXG%79_;1)0q()Jz7X8{@1#id_SL)<>VPxIYePg5$#XwGCf-ginIPMl@(>J13gr
zA}sn{zExb!xW*-kQmh=!DGXu6KXZ%4FT?WQKE!Qc?o(TXaTN{tp2p-~X)*%0Eop79
zrmCk#0uC0K##h+J^FI~=l|)8U^MTshoV*+h<uGNd#~W(VRYNudtrNai_32(vb2^X4
z9zlwKm%T@0=MKL7DzjqmGYP~g((8A=y%$;~0hPc=OV#vM{MuL;QI1wYQTk%TldLY_
zrONN(Kgq=h#fuXJ<X`o&WarJicDIK&?%j~1;>QbRL78q2eG;J(`6VM`u^MizCNAC$
z2@9t)haknNngd`58#rT1mle1RUVizp$sU#h%^(I>RbsGe*+<*vNiH(l5Z#`JzPsdX
zV?O2TjXi<Z@N{6AZ}<1nzreQnu|@N3^<zgI?j%xkC3be{acU&j<~+LQBv2Cu+Jm8<
z)Ek@TAH~HBvHO1KKZqHyB4{q=6d6pk`&2zJ{hlhDGK75+D<o@%h*|p<n_ksRtjwlP
zE9+z0sp8Vji*NA0KAA|^V4ej0$3c0(5F4vYBoG;k9u>{B!xtninERC>t^Rub_xtzo
zvvo8L`RjExdL-@6IqNPNvNDNS;Fqct_u(t80_UW4$vxV3-$taU%)$%{m!7GKTSgc2
z;Nx{qAl+v|Jc0=>qdsxx@)rRXAp|Mv`wMXm;scgs`&k!kW2vXUGDm!Xs9Ufem`pvz
zzYbC;KtX*1b61Rdz=9v^hbhMU+L+S^SowtBg^ph_XA^(AmBj?%9Z;bN{e&93^~h!C
z0e$An)QE&c*O^!4f8s+ojazE@bY)ALc*_djK%p4T70tn-M&@CcK^g1VBBu%xksQ5(
zexFc%9aXxmA5c+nzD<l~shU^+_TKMsWm><)vZqr#54)e&>!S&2&T}lYX*$w(IZys%
z`gLl4i+_YZLxqpz?`0frx$1cXUWmrPM<3XUl*`naylj+8t(ZK-PGR<czD%YuDLBzf
zqC6*^5NXe}rog5!--%(KvI-e}3EXy#C{;@ebM>&!j~MDH5yC#ZBzR6|W`7lWRL4v@
z^^St<wHKTcuCzqbsT)mUkQ$qN>h%zKAqk1tUUhm@dhsHX{^M5_V&K@1bvA8*ZRWv`
z%b%?zpmkkw>Xw#;FSqO|TGbQTFscOeN*KGsV!NjYQHg<`4MS&LLU5SxQy7~=BZkuq
zaa8V-KViij(jG(%XRw*nP-mn_?Se1{KtVOHk|?4qr8eDdO~cun6aNEbM3iU9(dKeP
zo?78M@g0Tycj$<eF9FlP;c=t(bVlzdn{P?tiG)%@!zt=?x{!^=Wq<}u^SYhHYwSK+
z2?gi6iE`3E2Ik)Ou8)q2)aHPI%i?~{uR!_~#&6+ulp}!<U*bKld?+D<(S6JFnTE5c
z9_c#~EfyEl88Wg=72<1ID!fJpf*R+sR=Lj^Zy%&wMf%jdAlsiB7qj^;(?htqd5jS5
z41k8qt7go-Sbk%~=>fYj`%pJ)K&fS?^Oi7Pac?#<Kl}qBRGC@g072|g$fBzFMu-sU
zw(1M_l!6U$Zf7<jLGJ>`$8xbmn~S?9#<?ggd?!%)FMZ%t^5F%U*}B3JS)1)r`C}(`
zc#tLDCw(s?>dYPkgzCEj0s$Wy;8rF~j{!pg^G&XUIK9Q?miJys9S=4&@1n&)*jVE2
z!EMnHPMCW+du})+uHq`bLL2s~ciFzSU`ru?q~<`Js(A`pv*-p5Ord1%!kj0<d|B&U
z_b@n`z@@~(_UEf^)}O?qn3*wf+x3ST+_^LN|0CgZ`hl-G%^en6q`q115JG^vJ@->1
zp97r&HS_xvSHkN5*f@X7gA!|+EsND>W?CvHHSoUGYVvA8Fu7%Rfq)@nJ%|jsD=2%Z
zJNtRt#0hY?fs-luhQiNX-WQ)kazfL1v|~Prf*<J0<yh5W*(Nw_E<zzGysrE;v_JyG
zu@tA`LM8rZj!pB$2f}X9$KGby{;ON_{&!0VcB4di7cewU-?c<yv_|YHOb-u!I2njm
zRYLyb2ule(V;XL^3X(U_rYTqHY~X_Bg00h2BZHVw*~cTS<_^dic^afUV5u<!CJy+o
zvy~3H>&D`Tmpz5iwS7X^6N3bm-%VEk4GOtp8%F}$Z=Ec?6+b^b2ekI6TzsPJ;IqO!
zu*vm|Gl1^tP;!<b=LkMEFC%97B{o=5v3@Kctk~^}kesoDUx&c^fu}8_NxtlY4ezgA
zB}NBz8WqY5KJf!{F%6h}L2Y`0`|$PqhX|0AK{9lh&qe0l6c|WN01fw%^~X7`E$;($
zE1c97i;83;JlQ2cZyI|)Q>02QDSBGpYZNqG_(FudtS1^W!YN$f|BuVyf1JCvnV1^c
zAfp*Wyp{-=kodp!gIB^dbW|sI)yXSfi2w3}%$$pvuHW+{7jSnu_Oldnz?r%eYSFMC
zEEo5hYagh%_-*%l@%=2X<~bvM$&ds|yX;q>QY$~0M(uacGIso~Afs2o{IeSCGxJ(R
z2#f1Et5G;0HL7rdG_FuDk-~_&9tcGIywCH!dH_c2id(gR4w~P4bZD-2X{hdQ!`Thd
zg#0gPNAT~A>$f7oLPhvbk%*DCAj+435Cke?*o=kp=B3Ef2n%nCQCg|Gj%o-6#$6A%
zjq1MQE)F2gXLYUDu3gW1vGLe34;;bZVoq^giN#547eyt@knd2<>J~qlp4>HbyU!ek
zY7r{Ff?wBUILmp?o#{8={!1l4ClCPQnpq9_>#Hxnzk6BAZ|aYKvJbVioakJN23&BH
z)|Mc?hu{V!Mb)h^b-ur=O=rAMYYlRQ1!zHTC9dTuA~l>R><)!r%>6nzg#;-2f@_9!
z^4nnRzLrYt<^y~n;*?~#+vM&YhB2KtKb@LFGVD)4D|t}u4eM_MzQpuxWkgC7Ba+6G
z#&4I4-M`!X4{sJ8vR-rh4Dt#6jSSdQPd>6u0ub#!LuIagw%WuZ)DS0;5ZT0X;S&+!
z$TF{I5_u6++i~D5VBf1X@69>Wqn2;W*y_eR_%aZ|-I#oUr8R+acVYahR%|_=qZ%iP
zGM!8nUME;TTcP+KT2p}n^XZfOmaqLY&Y3Ic5oHSCl?GUi%SeQC2>zH4YP{UJFQ2$y
z`1U;UTE9FoqD(?MJ*RgZdOh%$Eet;PU5><fYo<{`^&rP>cIHJEu?O2Z5M?xR3T8ca
zIGIukv9oIN_LHbc^Nm%{Ew8Q&W`YxQV}H|DGW_OxFL6Z{u;PTpnRp!3e=#vCQuf->
zR#tx2WnJ>5mMg@Fr9l>$<<NSMQlh++pI<^^$~aV#l&jQrwYfJtd{E0~xXeZX`{2N<
zyLkczmPUVqyP=K;QmgYN9m4V{-+6b>t0d2c?Z&%vm<NO%BbdQhZqO?k(5>5Vwhetc
z$&5z&WTVBXs^%H*H0Y-ovL*HgI{s>cB1ZpCK-TF&1F29EM-5pvQ&Pk!jpw>#k)6q_
z0#a*;6wB|_pdfT&%qJvdZ^8v4Ts#J9DTJ(sD~7DBd(r}o+L4EYh2RPuVma)a`djy}
zw+=E8NUqG;2r3y&lFugic2#afyk8ucgyYJFB-|_4{#JO?s2VMt8LFV@Gp6!tudw^x
zN8ukJvb#y162{+?@jbzCQWo{jk`S;zPEW(ufB!QIHAl@h`RA81P9ZGa^b&%T15gTK
z5Gsr$oyseWu0C5YMo8&~W3sBd7JTt0KlA2pbXqJJX7Si>lA<+ajX}roQtxOa&LUnk
zI`#(Q6sswn5p;ARDa(1;6vuY3{v`iK{6_+KH_zkAZG{r;tHu%Pns32>7wcw37q4#2
zrSq!8OW*UMEo+tb;R(d;bUU@8K3|-3kxlpx!EJv!*}4hi`yHHM0<TdY<v1bGr*-B#
zkLgwyUI=?*G4FkvZ?5QL$hJA+6tSot$uGQ7V$ecd@pmi`Ue&|(O#U$gtro@XVF8k#
zODs=<mLWIgZ1kmqmqG%Ie`P}Ex6brXZEm)8Fy_iKqMF#s6`{1P96Vplt8HRd0g9!&
z5b1ddr_*Ur1vM&vvEZd*Os6Zsmf2>Rm^IW?UmuWMymuZk@5((lMG~@o=jOb(Y<ZLu
z!7S1Q`S3k))Kd+3kk@4RfPa-t{V=`oh(S>Gx*!GS$a5<iNNuOOMf4_jf4fDd`lFOL
zJH*O^x@}y{{K9yH8qtV=584p?9;*CEY?w7(x|QTod@DS_a9uJXQiq8YZNj?HDw+5P
z<Q(~Jiox-kLF|GBLEP;$JaDRH8Nlt<F=8~gBQH}0-4a3I5g0#qj#IH6-ZmJzzGRF$
zgz6tbv_vFh2YW5adeu<ghpfzaMk%}HA~<MXNWuG1ZSoDTFXg_ZRy<sh&?JeL5kvYU
z4Kc2=CBJkmDu~xsBIL}^i;jU&ALg#@$wUnE&6J(Rim_G_p5sMseP+6BkbJqP%(ML6
z3{X8d6+88rZyZ1Z{T0enlQT<m`T9(>NcE(2%q*b-WGFwKDf*2bF~7wan!Rw+3Nr-F
z8oz3gKE8w^=PwFHciFc1AVHb6OzZ?c=au1ks{0os>dq+s$1b^DVLq|Hd;l<H-qH}4
ziNDT(m~%GN`#>2)Gad~3(@8=Q4a$=@e167>BlqQ*TWTZ~jz|twE`^+3pZQh?$#E(q
zDR8q&=PxO7r4uF<#1#+O{wAURJ&bL(mo=?-eD7ISgcP$fl842LvJxRwl5w-E=SZiP
zNNK4E6Xhyw9--kk*XRb}-=k9f2Y~9OPGkxw91fPT8kfKFQIyr=RCvaCeExp%GJ+<H
z6&-2<#~DOvMuJXe$=7oZe8LeC@Y5i^E1#AC&QA8n6)IdRxRvg10}9n7LacHVU6qru
zI4>FPR1_g~xi}>)h&QDeCe8Tjv?W2BWGs-UX#7>3sUM1FTLT;9XAtF5^@!nn*UflB
zq#ywqB!XPdiNcZbyyV(XsOKA(7Y>5#_r|~zLd>f+7IzY4Gxjbh(+}S{Dw~Ku6K%<X
zEXMQrObQF_RdW7_Ef)fW)h9Hl@}?!tf1@Mo@p}S(PL6eWak-bK^rmXaDNJuR7?K`g
zvYE6rLm71amAcI!aHkp#CW7t;6_+n3!JTP#5_>#_&^FGaIN0zc051!`=}wFk;(PU5
zs|!7<j&~8Z&=t;tJxgY>JPhC!uK4tQl0=zb-H}&G>Gf@@Ena*OVGx|&)u=3f+2`<1
z1~qX+SzGu0nx6-Fje=j_SvCo$fcFXRjn?hwcW>Z^W|l6|QXze83JZyxovmrsz{Yj<
z52_7-8f}SFi>*x;rs&``NXdptS_gq<&b%Hct*?CU#Xlsra3AV7P9?va6%TidI_7;f
zHY#>5+Yb~A2_wq<YL9e<fy|zZ?R3fg2Yfb}b8fzC>Q7Yo2&l5SoYkn=5nru)Z=~{L
z16VCze3B-pmdX;O2c2qK(#{LmxZ5uOqSEx%TXH<$N6;p37j=TQ0lIqxpWNcX3x$r>
z6Z|!8g&I+gg+^c{TQ}1_kz^N?!QZYC<s{u-+i~6XCYb;b!u>P(a$In+^bca?;J7x2
zp^D?TTMBjONvEcirU#Z@@DPkzrr%Q+q=<Fz$w{rZ;Vk6woMA`33m5bX!xXk(GKR{(
za%X$6yNsi&#S+*NH`IUa2#KuE$0l53*eWmH{UMkoVWs)uU}ZdSYjpdvIqR6_RdN2R
z2ZD8YocC)#q0R01XlvBI3zX=K9K`6J=$8Gmc!Rywb;7t#bye}ELTqD5s|*3%jJuwZ
zd>thBZF|io0qU&~{@+9V$`qp(L&Z@}#mOo958TcTQUXPIJ~6Q}YdfvHnz*agX*q_&
z*CdEjrjuv=riF)j$rm9yUwk|up-i#I<WKur8=a4rKMHDwXr`@ulOg6V<Gmd%S2$Q|
zE97y5pHCnwj3Z)o$9y$hq}KWXP-VMbhzqnFuL;WOyy5Nb5Gp4q-uld&z9trS3Jxs`
ze%ZWZSL$?!7+rpL`^>u`p^335G8?@Vg70)^*@;;@)&Y>Ck>uj60E+{8Jt)2jHuB{6
zBE|MdnYpCs*es3)aS|4DzVRKuH?arrh3GhLOB>3;F6$ORIp~)R=M!yvWHHyNFHNB_
zY`fw^5^1k5fzVuG4Cz&Z8mDXL`WuUGhO-U?7)rrqKUgvt77`MW-V(3{H6=lBoA{41
zk93g55<_u6@r#cF5_Ig<NC;l!?z;N<h~e5F$Bq70*6%(*g4)1w*Id@?(ZoShsW3k4
zLF?u@QKFpE+@AxX{p<JRcrUT+S%k=(Kt|s>pKYI0V8cvo)bLwhij!F&R_4~3rD!UX
z6g0NMWln%K5qzrE`gx#CZ`ol4$yTmGhUqBJ48bn_ftcR?sPnF=NlKlM3GE4bQ9{2h
zWjtJ2ON8-c3~q$%C7?YReJS^r(UVX=c4t1qJ~h}%K2CGu!Mp43R&}Lff|11s;QKvx
zbSy%`M}C2NjzIpv4RLS|wZ{49n90sb6XmRcy@~Ta2?59Pk+8XJbYau~jgk68o^`q(
zK{AJY^vte*Abr-_$m?!>Zk5}Yo=AEBg}9)wA&oDgA<Da<ts{zzuyH3LM4Uzk)OSxe
z?m;GwbEw*zM-aZ-{Rznc-!=`CI-Ldixr_7(@Lw-Avf|E$qwl)AdS7cNMC-*9j<FnT
z13=<Tj*}U9sSl+mGh+gm-WRGOXzCa_%ScM|iN|lT+E-~oKYr&~QkV$nUhC$Xp-;ew
zAnEkg@GQ_xIyl;{4V}Ilke1gnog|)o_BSyiJv1ZAU2yBtJsFh{mh*pzkTM3V#TOue
ztj_ynrx|>PVA>Lp_zn(xqe=zwKf)BjH@@XTY`?`)=YX5LFG%()zel`lk%t&96vYvE
zzv#T{HQ|eZs$}`@nv0G+C$7*>6*z_PJbpi+*U~i6(<2Saa}cNmj@FGFUO)h%+2e!y
zTN}LyO+O&?RT=IH$j7ph^%D5A9yz~%K*s9cYMaSRu7@l>Hq82L=2dz%JYev?={3TM
zwa^P$3wVXKIEv6CWC5EW1FHqWWfMmHH8tiQ0eR1<p}(4(!Y%nY9i-2=f2Vn51{PxP
ze+*md*Q;B15oXM?1D`jO<1a8!-a!>FocQ7Va@(ntfzTfjKoDC%yn4cjVuO>3zAxr{
zbCsMBwYRhr{NHSttv&!z#A2ee66)RajMIaah6JKo76d^mwFj$GlPL!#T-i4!TZ4Ht
z&2D$l_23coB75S`Z1+j1ewEQt4qpUd*TA_qmCZ^zrMnSpdaXyN?fkwV;;Y-IGdRNC
z(%2j~UDZ&s)IawoU%`3T^`YhzoV}oqMg6nYwI<sJ=Du2+cj%D@d(nTIcii;C1B?ie
zU=qZOt9J;i<dZwXx_yt|aeV0%h8GYpnyEebKDbIDLhr*7X!ZC0E^jIX|Ic?mrA@Z@
zSzPDvdT|P|V(4X_=y_4wKwR;vT?zL<MHoQ?LUPr$-YK!r?3CZ{OgC>%xdmpp8r{6F
zKug6crt}hM99j2sS<V(VIAf?uLE>tAamiogulsq}rB8_L)Y?{w<on83^~WeBTVo-E
z^tJRYzUyC4c+8Fx3JQ$x86t#Hk1aCF=_Zq@zl$z8VO!K&Np18al%|Sd)$I9%3O`{|
ziO_l_vpN>`%dTd)R|)?hmA*>@Pl?y|=mTSos56j0&HkO^%>{6C_jiEeg)-M-{vRC|
zL1BCl0Zl;aha?9T7pE}NVL#)nE<mj;XD)Xw>?-w|!&yQ^_k#VZ8hSB&K`V6bQaS$`
zPB)`C`wjdV46W9<g)GnumRf4ZLZg^&nkViAT2EHu&gP6+3$^KWU;L9%52Bo^`(i6<
zN=My21z|0BPhphy<WqdL&A;7s$2_J&oDvO%rBA<_cp*D}7t-W`+4(N$-}Cwf&O&`q
zrLrYR7B$kFo*buhC}7wT3K2+R^<hd$y3(MD5pGgHhPw`wy+{V5eU)6m@h_WbpLca(
z`q%lMgSy8`vb$<SxC?~!b=eA23F7hjUe@z=W{C38tn_#-<Rmme@AjQQKIC>PK~yoF
zuOc+<LPBC3=m27>OF1JJ6Q57~N~}om#<DC}LeEaU^A~EV!+m4lveeT+a7i0gOLZxb
zPL*zK+G5SOOKeUePVd;EJx#y)TLs}vf6yXOKkgKwD9(4u{&=#oFO)%q$@(=(i=rz2
z63Nee`AWD$G<4czyE{#<5@69pZcw3zi&~o~${I371j94M`j~jlm^8wdi}33~u816L
zaJ;<yzUk~Nbbb+1=}x^B5<x-y`0e;QU%mul1kr30cwS{Mki$evWoi#8k|Yj$64rwP
zl=IcK*3b$Fhf!bG?7G_I1^2z3Qm4=3x!!JERKbu}qElap^U-JoZ1sy6f6?CL5~Rk%
z$|qkLVnrGRf<Orw9#HlfM~VoTeQj^7$on*>d*nZ%G|vW%!(<XLk&AuA2>a=Ck26-M
z8=&mTvO>_}{iUIij1C+~FI^yQde!q)|D6FTx;$2Bf1vvZ-aTwYGc*j8lwPGL5owF+
zt6(5AO|KIc+Gi9}GpLcpB7(|HJ%NgJ%1;J*fCv1XnN_b{phJA8E;roJwJ^a+(87kG
z%8IbdQWvzQ%?oa$^}g1SB8!)e=m$NG2(r!@?{T}n#=5<0P@YznRS0<P#)kP36UNRJ
zNP_f;KFNM2>a_CqKD4Kyh>&=3Dsl<b+W`c*U_#IWxGP@hZ*QdDOw`~)lrJ~necbr*
zWXH;O)M*G>?D3{kY;MHPTOb&a3{fhIXF!;iw`Ty!iT+${TKp*epsCgdx8+~I_ZhI4
zwD#A-*`K(kYTJMJ?ts7&@hpMnW?p=G+czeq(#L_tr;umj(Kf!-ufYvv<N%hH?&O)e
zw1{iM)LrJ))*;~vB0(<ewh`w;yg07`1TnklXG`hP-<}CArVQK)5M|LLP_BN)F!7Z&
z-tqjF`r)5gE6v~m(X4PK6$GuPyR{9{J6UOvP@|0m#_8Ob`b`gY4^1qD2z?H{uH;Qc
zF;oba;=a(-%g}8?kDU1RSwhBvYQ3!ADW_ERsA8{1n!AMupQhP%Uf2OaDEdpE?1s4t
z1bH^f^%k}?aXGU$JyRuuYveZF*3)TwnE7Y6PmkaM+u!kUZ&QI{-S}PBM>$Y$HSlZZ
zS@StUlN!RvbxUACesc7Me<SHsf~d!RpeoTL(UFON9uTjokI66M?59bQ#QQ01dSfkb
zK3S`;WqW99aXM!VHc=ov?GaK7g1mT95H5HUtv@@{JF}U4Pe$62aMsyR`_aFn^F~!%
zwu8bV?$yVpD?3xvQd|2sO#iw|JWFANEf3y0vG~8*!Rb`$w;RIuDO4=U!0fS|>P#i9
zuIA(0`_E@DJc!^zpspSwi>g=@bbekVz2t>Efh6Y6q-%ul#GqjJP{oV0y&a3=eiI-y
zA)qQ~p~1_pThG89KEO*E;@!1lRpmFW5#*(Gdega%=uW)KB|5l~vh%3+cN51q+iK!x
z$J7wCPbXcW0IxsL?o8_!Y?vl*(rv?RctK<ht@KGC_d+lkyuW6*>im9J*F{e|#*$il
zl(q$CnR(ihBREP%wnU)yK~d?=(tZX2A<~n`r5E8Eh!bxro||*~v{R#Lh+|uaB+j!#
zTG)Fn^R3di$q#F9nsg67wTwL%PpTg}fn?aw5B6!Vn%2cfo+SH$x1>k#qJyp8Vfc=%
zr@?ilR=P%kgCOttoN@gsm=!x?=BG1q-{2zM)KeQ{T2CRS;qJ}8%z%c0p0X~Ze2DOP
zQ4pR$ZME~y_s$Sa)o8FNSYci5P_h1q3I4yiYCeQ8PwP4P(GtnCTGRiwt0)M?lOUB>
zsDzP)%{nOKNGD__#_2#zM}$S9Phn)?j)uDA!oW=7GIHI|e#)t#Kxvyl*b}=$1@{Bs
zX4g0V>O`E59iS^1@`Tm>yzA`F=<V<k5i@$k^H!k{DK9?j({0gZ)`8haCqIpzL$KO9
z`(}94C&X)nfdro*OuI%ijE^Ey0<Jrw5~5!ZZv*`|18c)&%A<LMPKD5pQf36pJWFY<
zuhwS&2mgu>a2A@0Dp;?_L{&OHtJMWOz%{T}9EMDxFhBKL(~F6oVHvOXiy<A*2!mzb
z=z@Ic(#sKx_&U>LC4BD2e^*HHa$rdc{-6N8*TF*-EnnB(thUU&IG8PVN>1H)P?w9K
zH$~L-&D{wd1i&-$#yHj*HAF+R?rBPF*3zOWIgleS<P9HyF`eqE);o3#b({=4Ub$f&
zh7wN(5j=OGk1!=tkLIazstagoNP-3{KpubztZy-{(ltS8BUUak-}>&-t8>1v3QSEK
z*O-Do$+`h@+R2fAOwi`l7ioTdD9c?i<0tUzua#y9j@vagSxsuOEG~Z0`H%m=4dovC
zTler<q^!`R_7mP>C+2caBK4`LC7y_3>rRXQa0!A;0e`ArJtuvzHJJ7%0lT7oqFJoF
z&%fSZYk>|s?HFia(gm?{<~Suysrl7Qe~E5h@FBTh*Wqw_)*6|u&_MS&>IIbl0rKM*
z^sG*lH#s}Ykxq#dI>bDk3$4S>nN&Y^_)Bu@#B+f%1F^P~e9XZD2Ks<NaS|%QXwxVm
z;<939j5kol)Bty5Ww!Prq9RSbKoY<VJP+0d<mk@V&rw9fpT>r+T?A*T(WKUsT)`h=
zM1gStwHo0#-j8fjQyIX549OYogk||V?k2ofBj;+%w_<OZ?pffek&IXfxh}a7a@WnJ
zo(M9aCPOr}=n6v{UKQLzlwDHQX_W%N#!csgmb!sh5Hf~dRVgZ)dl{5b&eFm*dMeqK
z3-An=oPu<HH$P7L9W~V%yD2<N?lno>B1Y;TcvVQ>OM9#I+E2`t$&?WlO}M4%?^(Oh
ze|6dd1<6|+qIvZp{f5S3`h~e4G{d_)Q%gePt5rXt6OsG;z|Su;3JJp0KY(69dgi{y
z(#WEE=b-lAsZrpSH2@hQs?4cY=Sq<eTdlblLArr^o7>&@&D=xIV(!nVbKsQ=cl6BO
zJJTWfpmhVitKmEH0|2xjr$YNgZO2N`m``|zr+}06lvzLjFZr7G;oOv)W(Yw@gWXjZ
zRs;a2K%?DB<U+9b1<$+ejtQ4oq+Owh#4#cLmdi~>XeaN5$lH5GKe2wklm@Kt-RKuc
zp9$u-DP3c8u6%Q?X_DHSu#4I;lBysr@U|ZrdJH%iEAt{Zwl%%;o*5<{pm0AtjP%o6
z!q54y|9;)dh5>;;BE&mR*%al3k^xwZq?}RT|Nh0o@mT9x{OezsTmbo==N)G7o?%y^
zQEGWF*rN=a&ZT$gTe@`zQI7qP{&Kj1xi)fSqVy@WsUSkPS*T83dbCq>e@2=R@_Jn2
znHI#2j`sJL_x9b(W@W!5v`;`fDCC^sSo&0N_32KDrM4ivu>?VPMsLUA-k)~-b3D=5
za`s*Mz9O#0XQ8*}sPLLv^_`ep!7=pYdm76Ib&9;4{(tXZ79uLV^=zDB;D?ISV2)FN
zO6?*^fAa}XLwXH(vwV!W)AIsOcC&oScF*IY;)f@qFaJ~fi$3~g$72CL`?Dsuc?4h0
zOesFoUVYZ7Bp2YYs!)|p!;bnsnYllxAidCaI3>1VZPn^>kq(&<@ig*OU^_dsuP20C
zc~^Q;St3>}y`XIS5&2#I{O9J*bFI=%di)J;0mel2!6efM*G%wJ!wEK7PensH-v7&m
z)H-^3HnWW>V(2JPA#SAT60+@j?T6%LZvMSj*P^4|MMb?b14Evu!UV4JBrss=2D23^
z*9QnA?Qk<Qm+tkApD@MmmGB@#0$r|0drq<jrfhN5`$zjy)<Wq%M56_}?s73MrjOvh
zCZ*E<?@-VF>vzuL)BYeuPF}Y5ON-4tq6`je?-=nxaDXS02C#~lolh{$imEJ!#^%|M
z|L&K5!9J2`?S4f$V$e?|MM3lRhKAS{qhiCl_m>O`>}fLh)7uLdN-E+b`A2A6F}|4;
zSpTkCi+-VUx2Y@}Y$NLM%K~yGam=0H+%A=}@ZaF==D3v3svnj}t%vjG-LJ_ZC=a*6
zQ&Y_RD5B9w@ye#&ruDBQ3mWUSbSF`AWgHIj-K^-C>y$c?JMC}6BrNP?x(9x`kLR}D
z<$x>L((L%{<EPAJE7!HKaAzu41=Jh)D=|A6*RYLO1{=JMsSyUMUw$K5VU^8VECoaF
zlsIxncylMxMwxt(R1Ojgar#@NYl2pR)aZvg2&EnFhpqXAFH%O_-lR@*fry5^t<m1>
zTQ?TTd~v!NfVY$$wy}`|j8qnT1E$FwvsqE4*_z)Q5!XRmy|j&!D5eIJGelQdB52I{
zNikA4y^R>q7X`bjbL;(oI>bf_zFOTn4CsD`P|if|&dueadcT~&a48}h-y<6{$(M?A
z-zAsfNNun2stZ^hk1rmse@|IheqH!tSW3aRJ8K7VoyOK(AGuoP<jg^|b~M?fd5#Rt
zhJ&$}0%sS+&HUkRr;>k2dJI-NF|5T&T15%}K7oNzxbv9j`dGQO9xmk4tn*M^ow!R6
zsV#~`>eR@Hl9>%BRZ{s{QvG+alZfhKtx=b6x!df~deqyEC##a5NZI+tR_HU6e=eIO
zJIeW`Aj%)femv)pcUo~6sdMrqJfNF-ef8O}xs;t7Axfs7k?)-90=rt@lN}n>ea+7=
zP+{?8%_pyO5v_HXd-U6q3L~m4qd}F6rc(tfSPEr-MpBH$+aM+|f*o&RShW3{YHAgO
zgq3?KNTnz@KW99x|Mz<e*IcztBuNa0zUlCrx7XmVV;jf1-rutf!7ktKeI<^xv07Fq
z!t?%;XHB?eNPnhV_ce|*r-YuQG-fr<&c>$vO@_k@GmO8`H&?QpnAX6{W4T1=Oh-G>
z47b8pY1+<-oHW5iwkMJoB&~e6T?ajNJwiu5Y7+?~#sWQ~@KrW<J9|S@teovwJFH_R
zX4fTe-kxYJa`jgYIsj}znUtc*#B%ye6Fr`|a#NtIn&bKhoyMA*0fM@3#g}i>p_j;N
z56pxW2@5`$^{)ATz(>NY`3I7o?UWqCq32(zb2K4lheO{!)$aZ)%cX3@O55nSY?%{N
z)(<LWKN6Z1omc1p)y6t!8teTj5`*pnHx_fRqYhR1NA|@uh?)6em%dv5pH`YBq5O+K
z8n&lNZN-xp$liB8S}w`+8lSYHrB&Aw@qjI05ZpGWU3>hasY?sFLb@$vu6Y9M)Kwe1
zSS=~UFz8y=F0R>c9TSzB?X3R%o(mcJZnDGG04i=^=6EZ^>Xtnajmzo+y?YLybqA7e
z1lUqgAZG_=|5>1e)j|-GWQF?8WX9kgDr877&Qp;V!T@r`Ht>NBYo;WzHKK8AP<5D(
z?!Qm%Vk0>Muk6IR_9IxHF5m0E7J1PQq!_pi<><}U2`v#LAKo~z4h1@*(XnKW>V+mW
z6M~?LSou*F>Syp%wqK4uAdf#6ZO=%E5y4$@2KjE6Td2k4TEMc4c2o=!V`rn>S<+s>
z1?#_TxN^t5XQWCO>_+`LhvZcSykVu8mSYN=nYpVS2&RW1IIisGFvY#Yt<B@A)qh#;
zc&P<*5-Y2H0Baj<X=GCODn4#xn7RrnDuUHjtaX&+n6)BW^V1d+dP(GT-U8qPg0;c}
zwoSW6_zn_q>y2Y98ItyQ1QO7C%KHEN&9mztEJp}G|IhC#9h>QjS2++{3RokUZN$^n
zwBkmf&EpA=j3Dere?LdiIwv74!#`0@!i*8*bK?Jg;eXfRf6v4JEp}1E?e$FQ&s=Q(
zl6BUHm&m9}!^&)PgNsv)RBuIld!6vG6&YewaLxJMDofhzw|1Jjuyhxqvk~nt{OdZV
z^)KTNS4O6zoho!^4Uk{#G{06uatUADcRUi{IBaR?L~J_*y8Tzn8Y2r(n+LB@n~#2&
zBN}T}!NE;@VIJVj-fqopx=a^0k|C)MYvo&EHv_1UD=VRE`hySo!jzsfVAf~GmEwB3
zUPYgyK(pB?yfR%be<{*){Ks@QFYIV%S%?JfTy@0lXWDmmVftY0`E0sh3K5omZ;oQk
zbaxXVk^XT)sM>FCZvn(Veyf4P>9J{c)42*omvU0uukt$fZ5GouPmlj>!n9bp<JOy$
z*l2B{qgrG?+Fg0DySwXDH?iI$xAxWQRC={}+0C0bqqI|m+Q-urO4IN7`%5-Vx?9$J
zUK}2okEYrjiu&`gA+~6&IO@+mwXPAXe`r_y<$f$I*txk03R!K;zbY_;@rl<h>kWRg
zdOlXEn}{158$+!%?aa2(D7|hxM;0Q?p=cC9E3w}m_2;&lyg|T4%Q_KvOAJb6FXUZt
z!r8&}(!rk}zJ0UA93Snkw~}A@YDFF4ul}J=Wm4J{f5gra%Ee)QZcgOv`{t1S?e5;*
z-sX)CeppjM%aIlTMjE99e0Y^(Z<bQX-tV!7<(Y=2;GNY;_+-PSqG@~Ym3GR#AlKw$
zivS|3N*3Dbm?#p75fwE70f8=s-+ik4Q$fpRRgOIwGByDUltFm7ziW+o*;?pMW5tLS
zMTGy#c+CNpgyvVsT%6RDY{2Tb>>(=}lF%D)IsDVP4y_;AC5@-c8yB*I{Z}UH)}}^m
z!VW(z^k%o*3{bGF!(cGgVaG>LG3y^$9eXn67Rv8N2nY)cEB?Vn>|`p2?5)5=n=Rnh
zm1&PxWKeiqovDe*w-V>n2y&XxyY}|4EX~YzQ~XBW=OiU1g$38RZNsekT(b{<IUbL9
zbZ7-G_Pr#m#Wz=b`}tsge*VJc@`!XcS>MHl^6ktP>i|LJ^Cl)Hp+`%OzqyynAF7bk
zoIjW_{p2g9&hn%0rK*xoja%01Mn;X&qDDf9K#<5w|EHiiRNjbiRq(_xb-tCi31FjK
z@|9)UJ3JDzH)}Qt5Tw-NZ8A@u7h7IlUi&-O!_Z?_L;Bv=6&1&otLCEvVX;x~8e(w{
zDZ(~KhVTo^=6kzk4K73*&#vz&*_$aECC^X51M7y;)Ar^kKK@AsAEeW+>!=+VPS*T4
z$N!)IbrY6^(9bpX<<~!4Qa3!9B%E7Iq0S8p_+j8n0=LcUjgOz6u(_0#l{JMGPV;we
ztSRk$^RX%Qe$9KO);|?5QqX_1C;f;>E>a|4=A!~ln&YE|O&)_JuY4KH3CWcIr?#t&
zN;*s9XJ==oDR*d?sg5b;8QCM5uQi=8QJF2&G=)*i#)V!crpB5ul>|`(XBv~zmFY-o
z8dz({q(|7yK-7jEEj3Xo$P7e0f`MqF2!slM*+1Lvhuw49Z~O6{d+zhx`+IvnUV2Z;
z)lRQloqTR#^Zm}wRYK|}M0(QkhdEO{++#w=HMZhOTZoiwn|XFTmhLJT6`3`U(XChe
z2h@L5f3uGilOLF)wQa0D+4r--n~Jaf@8YfPb73X3pd76WaGiy%AR=&F*PAAPfIm7q
zS~S?^nhh3qFC{=N;mt6<(xh?Ql(>ewOWTy^KAn%aE8^~{iafu%E;*cdfLzfPI&{C+
zO560yV59;jAk`m4Pi1I6exlK{&}&aTX1uwVwlpoycF}}m&g&g*1a|{^b*8ba1=cdT
zAUv|-JhSHtrS@Aqt}2m(1b*LC<pE@3i$OKD620NjDcBjvm}r>Skb`<pI|O=$kz;=)
zjK|RQa@@^G%bzgOzR+j$6b9u--aPn$+B#AU%=qyyJ>CkKKHG~F6K#b2`(84dp7MS-
z?I6^`YY{S>d!&wi7)+Aspm@daGV%)L>5JZ6ZOM*`&xd!KMc{&LE@`fS4^OE@lAFkE
z*|zSjD9Y=X3bk6D<~e3-rHAuuWv4RZGpmC=OmiZ0bxRTb!LmI2z%@7{h-X`2c7z9v
z#62oMmAR(Ay}yiZUAE{^dF$OEMG8_(Xdul)QS3V?;(YyE{XK`a=)AmdjxKeNc=}zS
zE2UwFBB#gFlH3o*<}MnZ-%Tfj!dC|I+}G1q4YF{l3kWZs@+vaBwkW^*bpEUTcwFiF
z1`n(i?|>DNv3NR!*WO|21PkW0c%%yaWeju;x15QGd`MlCr1P=BNS`#??XoV!KMHRZ
z2*9o53l680yu3Jtd$`!+1$;h<K3J7i=A$m$k-Xe(@{c(67RU%WL~cyIwL^b^+#w=`
z0Y9Oji>J?Bych#A$z*<w$9J8%G~a4-0__ue!chf7CdGqEBnRKIB)!5ctEsN0?+Bn1
zyZQ%IAZlr(7*b%a2eo7GLhYjh-?RDob_ZN{+t=-8D{faIaCFD)92E&<88Q~Gr`3hZ
zf&uCFtB!cWSs0pL41jFm_-uMuz*@%Zzd>TJP_mNn#-{Z~65p{gtC?WPBo1uWXO{=I
z=L_oc%(l&00@Sdi@0uZpG)_p_dww;MthywYsG-kPx`ywgI3o?&g%2;ZAZH!Uu04RZ
z^x6?0Xb=z0WNw!&g;(l<deA~o?}$bc(?`a!X8)%rR73asezu6?($!H3DN)qb4ZB~E
zjD)v<2?9A{juuxpxIue4Du4Dl!fZoLF83j|nMaR4`~(Ur%gkafknBaR8FQb3T1+yH
zu8*eW^-t`s#h`Y#xB3cyFp~Q1;5(9yDnHa^(5yZ$U#PNXB;)rkeo!}qB@5mL&XN7{
z@ygeT6yDCIj3zc6u6skpf-w*bg@OSqjTP-1T&g<ac2N8CD?Y3TOE<NCp=4S`z0P&h
zL;v(zd3<|*lMflhXQ29DC5a>TbVV}gS{{4NK3aqJ#h?2Lc%F{S56~fmYi1#YTmh!d
zBr0!uV6tme&hkeeyThjM3i#{xtH*r}-V(4+vd&wXr7@<sOH8N#aHcX>TuP%9#IoKy
zyfvY&_W_A)LTD;WkYstR^Yz96or(F90VZNEa?Ld_o&+oX8EPr#V>zo;zKpeHJ&W-z
zsEh}V39MgjGmR{>cGf$HM@cgI`^6R)$U<X|6`FWN=)K?otbAz5RkOjpSJkYBK&jc~
zsW2kKhwA?feWG*g{yL(D^bOaKD{uVra8(C)SEYuNSYa|~rfSbi{E8N_KY(t1Oz8rK
z+d>*pg|-=@XBLilg?E1y5*8MlTK!5|&U8PWv#+T#7~^LjtewWVByAy$N|WmXrg(l!
z*~-hFo*rugYa38{<Hiktt|wREtms{nbM{{kRlgd8>+D#*Rq`1ETO85k9_njRfOj0*
za+q~5J>?c_#y{fme^{?Mk$@}BofagYOhy_Z{l&6YP5YhtXg@T)yTHV&;T{MAILt^G
zv<9vlhgz<C%$|W^<ADhxD@G)o$ab@s9h;zK;!c@$0L~hsMsehu<1ASi*DL1oA<R(1
zBk<Ho!qzXjV#~_n{3p3oQmWk>rRrE^g2U~SCv;YB@CTiGaJWrG3i%cA@h{9PqQRY%
mC~N5d7_k4Jt-nLwxPP|`V1E?%{_SK>i^MoAMzHV1kN*Hm+@ARW

literal 59231
zcmeEtRa9I-*Ja}&KnM^#K+ptt*8~U-32u!93+~!@65QP(!QI`1ySuy7xI@n+-~Y|S
zJkPw%T`TEctnR*5r_R}D?_G5RzsO5qyd-)F0)a53B*hd#AS4$M2toe^GVm8L{Dcnh
zg8WTJLJW8Xu3OPYFW?2$MpDBb1S0W&{s$Mnb!r3xy#q;!eN=WyIb3pe*H-g@!Di|!
zO^vId_7W9_1E<HcVH=0{+nqiP7<4sM?`g<?OTA+-(gkO{X(^Ip=%dLJ@e#p5x}%R!
zY@w!QG^NeXj)^fQ*L^qL8<zT$LEd7HedoG|frvNCNQ!bPaqRxqWpfQ;a=dsS>A=3T
zJR-PbFCzB;um777Fw|k!L3zifHa|bVuarNzY@qXGM-f>!7VVwIu-k-<#cO*v9CKP%
zvhafHOqad;0uuwHc`h?TOsqd?-hel5etmq$g~a;}#zw=j33z4+C%k9Ig=ElTw$fx|
zB2bJXL6XY1t=8L{wHxZFtvK(X6DSFn&lu-Q8!7p=m!J6<1%6sHea1F0AcnrW$Bv=8
zD_a3o2QH(ycnHY~d3|~w(~V^0t)weSo3;)3I^&>$^3>%4xzvF7Yc_#>nyal&VDI4<
zEe3e+OFj_RscQZbW{hUj#uo@fkD`{gZ_Fw#=<0AT8q|U;U=nhhH*+f4j`*SZy>&K0
zWk7F8J|i9$7MwKHGh=ccH<B%j=_bkuC$JN*^v7!~ti+y4yx;)f>W#@qDSdwP?~)8u
z^i})c@y`;=7Zcq(t1r19cd;fgSmx#6xX3?jIB0mxdT-fx{Y#9(R%ZM0N7ezd(UA-l
z_R+=>KWR9(y16xC36g4*kiVy8@gwWWb=bzk_wV0#^AE2qEiF%#=`LYmfza*Wzkf3u
z&#0AX6S{9Fn&|K>k3_&!&CL(&(no4pW2M30LNrh&;S}It`o)iKAKu*ES$m!*i*9rY
zlT}q$Pvt7+Hz!UVu3VDNI67}z$IH^hA1~BGVWE#4o->Zz8s@b`2E%Y>J`z5y?A`8G
z!0jUq!gm^uomQ86TC9p6Pft!xekEEy!SC`LN8bZs>CW$d`vURvOLuvnVS21Y((10e
z;gm^^C!Jf%Z`1L>2jos&+@q_nkXIQp;BItROX=w7kjcCrPEFpU8ueQ~SR7_nS6BDh
zrf`F1;DSR~QO%Ep2@H_^{QNvU;aLMD3F)dK3HjapXqK#bf<pRc!Ou&WHu<C0ff^@J
zjOFzU2Numq4;hNc7o-ayD(t`o;IE?u=W1=Gz?%;c(L`6_q~~NKGr8ilS{KF(PBkg^
zz~<pjl)a+C4!jei_?jq7!_3<KoC!JAS0V-m1}azVkgG#NX)5gY!6%Y#S|Qk|C}yZ(
zE%2epIpan93CE>Ek{;Jy%|?<sb^>%J;DeFCwbeEg!g?JN5^@;avmul7K+K2({ERCf
z)H!Xi$=&{{`p~OKhoHKuiopSVjkRhW!U{ulpvDdi*x*qE4HQ*lHkRC@hTSepQepp_
zgyucb=aH_$3jEKBmR1gLb8&gTh165xbad}^YVX>=1Zt+YDxY!MdD~X*92&bq;~9K$
zJG$3!j9FB@LttPf2P9V5#v}q6%G2TKZ_z+?h8oX5JUI*9_-<t7>K2(BJRNNdA*|Nn
zVieV)qN2g!q=I)s=0_wY2Q3JrRN@rpU-FkaWI1(~I$R_yPX|27%z_7Eu$!olYg-?W
zSWY}Z27@Rx^Cc}UE%TZSCLyk5dhcf$ILCJQ`T6NXScO3;loDYVhC~Hade=t_*M=04
zF8<Y5%<oa1|2~>%n7>~_ZnI4p@bmX?O?M?S#eB<i;tt>oH;}+Dm9@;twCnARPQ<QM
zwiSCG_)Dgzr)knhu4VLovu=k2Ih7hHwl3ag%=Ebg&J+2;R)7>X>T*v&O4@>d!{p7n
zO`MvVTJ36`43v!8^t=}_5z)L#K!SopGLB%b$WCm4Z20^)50kLmHm_2&P*!0nDr{)~
z1xv;AY5@SWXddE9{hGD=AuB&W|8kb(&7V-_Q6W_VgQr&~8s;N}L_~MT2H}EE1Z4_B
zx0@|MF;kY2))_{v0BF^!*yx|w|2TkZnF~qy`$g-a!XuB7$w2xf&L7j{2`o4^QE$Vu
zi0~HGzr%|^6#+<=B9JfW{u=6K+hkc(&7V^VHGRg&wDgec?&W5P7oq?rhrszDJN}zp
zmlhWR&+LPSMgUKt4aYt%0#EVf>WA|=IXV3s9;1#+O5e(7yEiP^QSQ@YHh6U5DcU40
zEstEhdSa@t7(vtX&b76*jT;sQm?V6YqIcJ1B!q;w$a-wHEyz4QJLlk@PAQDip-We4
ziY;+VTfh1Bs!y<H9k;#g@X+hK(a}+7AM!T*7l=-z_nzeQH}FRr^od>R=$M!=i>7qy
zMA;VmrWtXu?o0@Qp4Eaub(dLib^vX=7BY5V=Z`ixkoi$^_grWB^b_jI-rz(ct^M1b
z?@n`$OKRb@L(dZhigeHi0VOScm{nekBJ#%Rn{U!jLcHGT6kem89(%AeSb)^4Q}doA
zgZMil5!<Cz3*igIwD7KPx<EA@T4YvwKHhmBGz@6ZG!x$>ZtzU$9KpmmxVdXVbKNJz
zn1UChy)FylnPZE;I>s_3tO=}>bJIQVcnt=p5~qR<%4f~NGhoo-2G6kLa~inOln=+%
z3zdpxJ>)TxidwQF!61SU7ZVD?-0cv&-sLhdSXVbaIQzAwJNeaGgB5=nS0$gmLcZ)s
zfvYaPq8JUZ{PmXMQ+NnK7<z#)kSexa4W1P<GBS=maBrO6?1`|C3NIlX&Q<QjXQfNR
zEgm!+hl6LDtBQ*m1(rPI)l5uG#2N4o9KqKMB?nK_j!PXS2VsUVO2I6UxuruCSgt#Q
zN#5GK@WIo|gCf%ATe<pcb*m6pdYd)^d%=?tACXnp8OI|4tzVqbuU1db3j;mmu}0!v
zm^^G_lL%sd<bh)uFC}>h$I=}Fu|;Iz;BaVV-L6bL5<+{JB{<&_gj~5>)7TEz@CpD?
z5Xfg#)e`tj4%6vQ@TZxh;wG17A<#|&Gl>!FW*q!H#GuYs-gglWMxwdb5Epa6jAoTM
zDxd#0i6?VP><o`dD~OAWt1INNJNgRLx&otn$4#7DeI?lT1E^zXb{;XhSn1*cbhKGX
zx9;9ng>1#nZ{;Z75XJn-+N+}lXB*_61Z6F)g?#{Iy;!@&d}<L&0d!M{R_p0?TuO(}
z#anj)C;@Q6P$M8`*OlpyhcEUL*<koL4h(qwNOj!==Vp4WC#}=-tylMt2nqtHV&7a`
zW-A}lU-a1G?Jx>+^=*g4Tec~VV+M2=W8l8>hq|10;d2|+SR!;E45@N#-!)-Jo@Ldj
zTb{DMyuD7cNJf}LG8lwk&Ha+V)gm&3idIQ{^Y~;!GuNXO-Na1s2STu2BdDr{p2rwR
zk&9@Z=<;ydlMbw<PDYRB{l{_ev8B1WIgSmr&75p_xifV6v26=Tjo`OEa~2`>7y-lv
zOdzI{TlYSo#%q9vKf*FZB;HNXGk+?)-(W=*EB#3P1<suzQqtYM>8Plh)?m=#6|4e`
zfr;5_9c8K5(a`~W^}v6!OtAn9?0>8%sup$vbGxQkBFy~)(4zP0@m`m}I<toqa%jVV
zckj!(-JJN?LgFIv8$K;)BUNd&4*&rpY0J|O)m^4Y4-mPlfkBUH+mr`Ow6Sjd2fmMD
zSs({Yc4uIT*Ey=Y6enX=87ady+!<n}FF|Mk3ef^15C$roX0=|7;<V!viOEWfM>ql*
zoDg<!7hec#Dcmv=VsUl49r*ehNP+VnG{-;OMb(iT?#I~U7zESv%%mp#iSRwPq%zrd
zn63)IYQuOZJZh?|Q)8sFm(c_y?`ZcHw6wHZpM#e^?6889aLkLu2V|=EB;J6F@!fUB
z^t7y9K+d5rE6t2d6Huo<B{-hZU>>)N?@Lq*1#hAPWTmfJ%))b}ErD6s<q|a+8IGh0
z!Yo5v1uF04$59`gqo1((mvPceiAhPHEGZ&qNzswDye-;KxfRN8UwE_TnE76lWH|mY
zAT+S+zy^}_rzmm=Ys&^QqrqDt_Z#7gfqZ4Nzbmjn%~ns3cd^nQWH;Irkv#Y}sNNeq
z*Yzd*bHDnPhjvr?-Bp2}^d@9}ebEWvPHk^sIvVEk7ms=@H#Sc7{}2YCa;1kABRg6`
zecSXo_UKrNx(=9`S1vS@c!i8i5<q*wPX^+GsTbm^!hi?i{}L;m{q!w|-^$#)vCVNQ
z^73E?r5gg{ZoM6X`ZTf^ZlnQy(Vq<#c5gHeT)a{Q^|^Z82|1`WtZjz6s^?=rJEX3l
zE3No9Lf#`gjoU8#rlzJEF|@P7YrLES0uQL~UI&WlU}i=2ZK||kWx&<tzGgMST}^>c
zRijW;Hw(T@MSZgkjWziwKx&<^Du{4l9M^h(vk@+w?2-9zLae}#Xsx!w6;*4!zjHT^
zJLz-74eWjRYIe=?UK#D<HH$sKIe_fjQb1j1+c>{%k;)0EVck~nfiWxD=e&l8TptVW
z@IXtE%BGhEmy?0qW2|)H+~DvON{51b_+0?r3zsRpaL}_rLmIC8;>{hZIqkjN_R8G@
zK6u7s(Q!!|_fDCv8rNk^6B2yTaD;O>aO2*>3<?|BA+9}+JZRVfIcF*6hb9sV%+*@2
zL{HB%CdzR&mOvcIzxgGmD`lKZi@j8^EN@{yAKZn;j%e~*k@TuFI1%pkDJzC;G#$@g
zKbOjPvN>~~N<c%&lUk#Aw!$894z<L#<5vuy7-Jy`I6>Spz)a;WPj`hT@#0yjT?Piz
z1R*-`PKGliJ-3qN*Ve_4VFwMR7G`DzgH48-nwm-AnMaTf>&epE+S(JUP$Swb8V5id
zO#txt>Kzvsmv_(rt(|^)kzn(=w+CR^8U}+ZpzZ`=pwJ#KFE6JeNEHDormJ7v9FA%%
zo*G_MJ=fY*_)OVA6Vua9aAg2>4m@-M!n>3%ovmu@hYR~tTx_WXlp4=@&4}ZY5zven
z%i3*ID$`un13Sxm%q%R5;9Jm|JfO?XuxQva&~bDTbVrJghh=#<G85PrhIjvy7B0_e
zk!VfhRVtv1@(Ca=9l>~v1#s#B(PP021_Sh)$)=aU{tAeIU)ZDGe<%jI!63cl$oD5b
z0n*llLHBoPcno>=;A?~FdHGe7=m#dTtijlM!9nF?UABb-Qsc0E#^EDTOIyN;m=mMC
z>};dRk)3-^mJ~^<by>FHnu7)usgbG#VT(1%?UgA2c=X$VPGi)aAR~$Ipo_+VAhc?`
zN*2PZO9XJdzSFRo$w_5GbmSF_;w5wj>ZLLdVW5i5fQe!P((Xe<@p}ivcaf5a=hs-_
zJqtzE*6=0p4c_?Px?1L~JLk8^(S4iTp{%)EM;kMNV&7bW7<$mf&L_J*8VMI}@Ngz3
zpV_Sg_fKX++MF@cxlaVzFF?d~*SEarb%A!*4J0TAkN?HW4dHlYtmj5=B&C<*Awvov
zbwdWl1HvyvGv7qW(nLGnUmfx9HXOr`<A0dDt_)K**X0Gu>oKuYJHVdq+#ZnYk-lHG
zilDMDPp*MPC~VsvbegHHt_DX)XIsGyQ-ae^^;b(DJYnG0`z2^vB2^k~?P+Cs`1bZT
z9?-36R{6$vhJ{vjeMa762SV#gAY^5%mA6>ll2nSZM=I|r&OiNEDGZWScWnT|o8tLm
zlhB@dEI4T3A`ORS&y)i?c~AmiL&|w#KmJEG2L$||x|z0}{@-_>|5N+}2z9LgUbJ7k
z4?zDEHWed#<*gD<Gn7X@OV*eR9}A0C+ALW7f2;5RS8oipTQnA(-=7HSQJ#d0*x`j!
z19Q~%@O99-N3?0%PzUbYKW5ox{0=0rZ~Ghq`+bHs<EO$49>7nCw2P%$nzlOQ13ZLC
zwoA}n&DDrNn5dYTp|)o!!s|%v(OUY?XW#L=)k5V+I(hHRTh9E*S*8z0fnPO_=e$_P
z?YY5^vMaFR`9xPw7VVx=x_Fv0GZq*SAe+kBbXOUCl8t8&B|(14qFZkeKJzuO_aaea
z@mixToP9v04Xx6J0gJY3IhCH}s#+bwxEDp=b4M~;YA^)4UcS0{EAgHpGs+u58`XUT
zm`A^aH4NFt3i<x!JFa%sa0JY6N5T=(kAk`o(QmIP-$d4*gKUIOzOI6o{V3QFmKuNj
zOlv?oOfGXEIX@opQLr12zOL|q^ar1a8QuX)7+GF(sOcy5MCfNOe}W^0p5Enkv*f-u
z)S5muD`qGleG>FWaivX>!AriO=5kW~9!k(6*YBBJy8I+ev`3-HMJj@-L+j{)Amg*7
zE}v#N;6-5yxt%{!7!+5hP$U4pE~$Ba{H`4VO71a6)az9!M3g~J^lsCcKuR->kLRxv
z^IKjgOwp`E;}*Aj;SrTy3iuE0^osAMM=Q_6Z4PtGe^!(dW&CCn0aGo#qAA|$>Y(+6
zjbo(=I&gqv?cKxm2Uot`yg~_kNVq@d5x^Jz6)+ft^2Jw8T0<A6p?(g|;JR1z;1H2<
zj8N`pdsx&@gU}|z0-Mz#NY~3x=e*%6VmacdI#@nKKT>ZFt@K2%vNKl7C{+6@ra#1z
zuM7yCJ^ZF>l@%B%^}~!JYOWUys^+$b9_c0omx&_+w=vvqaK3**QinEBJQx4T(?5EF
zPGcVXH^s@B(`!Ad#BVoqSbk}|gU~e3K>SzldzN0gVBMIM3I9ENhl>jv)?K`CU-Np6
zl}L@5fmj+-F!bZ#WX_8!HJ+U4%=UPlZ{AF_J|qH(bOnYDJG+7MI#8*lu9?2I7t(FG
zjMw?eNTHO8Sla78GvP(v?T(N)(o$8#+3z=O_Q}&^JRJ7amAMEznGkSfDU~QKw_YEp
zh22{Gq^Dqh{*tT%^a@Mh1Sy00UQtacp%QNj>!s|P;@n>)l<<?}T;26r1(Nl>AI!vi
zY)<9_nFLQbgCnf@=>{pVRhe2L-X$_oG2<x&V5zdd4=geANO&T5!V%FUXtz}8|3!&s
zek*_Gj7hS3%}hGfa)Ag3A=0h$fG#33P)uY$k9eAY6vdtN1mP!w5R<y5L=%_8!wAX7
z_x>}5aG{RU>(-d-g63bPi=NJFzPOR7z+KoZr$^as-gh?%-S_XInX4bE4&Tt--ik`4
zxop3Nr15s1RQmHq3H-KeYDG9VkX%xTYE^m^jr?;8l0K2npKDoK8{38=#DgY3KQ!4n
zo@Ze)>+(gd^S929R5BYyH*HIxA2lYR)Q|}tqlkAZJ=Z)|_yzhh9M{Z1O+8&N^}s<O
zVvko6M8LDhrhVKEzQyEbrJ31Shm(Jg<n1<nt!M5Ra=>_eqYPcOWJy{Syw2i_s}Xxy
zaZvD*jQ-nK)y_XzMO*p!VHME&4uRW;7bvg7-fA7Nn8VE?>D8<vxS@FZa_VML+!)0=
zyvB;8b*;K}V(VMVSh1Nq>&78U#D2wNp*_~S@-P$qRwxPn(6uvp1;gFO2>~xM@e8I-
z<ZWIp>_|^24h)_p*!HD%yh%y)pjKZcBXjlZNgJebbtUad8;-YvO@%lyQ1oPyHc?EJ
z8|@_W<da42o!DraaK5iq8Jb&@h@wsNTzjEFBG3<{K^g28%M-R98Mti$!K(|#T6uqS
zcaWA^`A(eb0B-V!nsndxlau?ln#h~gKiQWIW-k>?@mnExuf1Tx3Px(--;R*w8fX-o
zXqd}rDYmk6Va2z7OGd?CnKU(pH#V8F(g{+X6-lh*N;*YxX<MY6y|zM}nSj3Xq1jn=
zBkPztdQmW+_ix{6z05H@qQ|RZPIA?TufzQLaR>6I+jr~+&jFF<mUcKq%;ju@pwf^@
z#j90R&Pf5NEu9*!5FvHUWbs0Qw;ru5qs4ct{JYasIBR+~<a*K{64aaWT)RShN39qJ
zLTO;|-e=z2LOi9m1+kvCu7QJmbR+t<1S7=3)L;C*fSHU=2+Q@B_im8%uEd`iKCY|5
zd2_;BHRI1?|CKSByQ;#}k&*<%z^Xslhk1<uWX9s&p;$scC_s{Rq2gSY#p}iDHE+t8
z3i}Z_by_1D)@F<FJ6A```-Qk6-g9c}Uc9>S-Ww??2@vPCUprhJ^?P^~&rte)hIaOZ
z=nlD*{vi@*GdbT6R>jq=d@n@%(Bh}pnA<+YePZ|4!dV~Ry3}qgNmQ3(fi0QyV&Bnf
zIWeBo2?2fg^YrR$xbe(%jS6;Z_gi`mxb(F_@!JucBmdpzN;ev;Ai#!y4#O_t;tO}y
z#)d5Fzlq?=1+DyYwl=@8rka)cREL#04v54Xz*+Cab@r2-Z$I2`K$@DAK+yT@@QLUT
zT#5EnCvUL%dGuJYZ4_pOW6z#WHw^`acvdZpqHG6F%=cB{I(uo%jD{|&rtir3&&yVW
zZhqWI-*bhQzySYe>=dXb^`9uqmk-JRYezuPeezmr<%j#FBTCb&$~?;@SGxR3-RN6b
zb0zCweel7yA=Q3C4V~xxp#GH*gdig_0w%9F@b;~ynAqmlK7uuJBVq>Ey2;SnnWa>$
z=#u0WZQM<iR=1=bOcJC#%B=_QWuJkYeoNTCV*mxkI_pLgGr!i({MG*7kT0w@cYlal
zF3;ajRGJYlcg8hBHw(F;$+yGeSznCVd+hN}HU{l*PyRBH%JdJ_JgJ7Ad}dkjp5Cx9
zZGWOqC}ml{uP}}i`aIG`fe!oBU`$q?^g6!O;zRFGv-kV;@lo#Q!q>JOvB~)EIJ)&m
zExc$VSr61w;l1_PH)%cP0dGnfooiR$x}xVH*4a5uuo_`X_sB>nJ}il%xa|L;oQwBV
zpmThs>+vY6(@m||O$r)D5qjA)u<%8UrVI#rR*DzW3lw*Y<x$1a`<8n$&m>)_7j5&m
z+cyA#=s{Yj4;W04=8&|lH&O#a;B4FZKs3nD>uHDI=FN*U`;moLY^3e|+_dnV$+rK2
zGY9B8QtEhG0ztdM-72~fG^I~=z~3EXx}STmq?F#R0?;Cw6v~A@DrbByKN+riwATPU
zX--KR7#*ABb=e*p0387sCItnl^zCvISeqmq@1X@6gEW;Xh=@^J;aFCmf$}<%@T;#{
zP!9khuV`SXH!oiIwJd7ltWSoSF=;Hf#TF9J)m8XZHkxUSza?j@(Q|*(p~dsfQ*LAx
zrOrrgb5?YactJ?_WB)CeA2nz!B0Q9y=*3-gqL^_u@ldI4U4&j2zaT15Hru%^PhD+8
z5ozj2Rm0=yWHg)3b?!!joNL-$)lMmtUUJvR<3rlP0lgO&hr6JAl!!C}OO1m;b0}#c
z&0%gKuX8X7jnRto$&Y~EDuDiW>7TFixo@v{FN%?a<@6h7YEOcuLW?X*|5X0=RhJ96
zYIqsf^CzV?D~vI>+HPx~29MM4{2)|}#fcv!8gq=_<`;@^Xl;$PGtb@lPI(H#>l0o8
z$3!?d9_N%y`dR%d@pndA`WNN|X7|4G00b6hf#MDtF!)+P*Ka@+6yy!ellaB0ef)(9
zj=%{kvjH|17AC>Dgy9*#j3!0pbh(KoM8)&>$O2H{7wHK>F{sooT@XQpgVVYDz8HhN
z7dOD<5%8HvCg_c{kprd>>%VIVmTIniQkzJKgr&A!?~>fWF9?D8k6-nVWe$;bR}hW|
zPRYd0;CG>~F{*r&C-PX=@>zKzW8MIWvg<c<m|f8x+zG#5wdIy0vnF_L=Z}%&E%&1J
zACny#Oi^sC$ok1<{ukTbhx<Y5YY?dMl;5Mn<koS$Im^?`@O-<Np)^22tuHYcx=uVY
zkjL3Ibt`KEYZ`)Rp#?ODJAbn;wH@tnFbr^#xNWE|&}z_AbQ3ay)vaMen{p2}!&23q
z=Axv?9MgWoMDQ(xBzf7%%k7oTp^^aC*XeJHm%XzWXOQMm_l$2noqsu9trps%r<iUs
zQ1Tf{0gR0ohsTC9(N%46K1hmRYG|_0(iPQkfJD2jS-`I=Ag1oD@o((-*kirhYNH53
z)_XWe*FFuMiMn(~JzwvXdGhS2MyjrQ3yJ^z9?1<(gEK^}P><{Kl{TC)OJhSxa}f1V
zmx><`wu5@K7ede@mAdsygx~<lTbY^VCG@@JMguG9fx(6=x}-w;E$8G@YUmjoDS)$-
ze%j3QM#Yt0uo*?%ta`ecWrxveyUQXnWic9nJGmI#JNd8n#+N(5DXZMneKVrO_4%6;
z6~<a*TDYE6EqA+xihknhi{jZ<^EB=IHc$Nmy$Gd6KBr}MJ*PGIVf(*l0bU&7zu9>`
zsbXd1DY!bZN9Z0Ke+mdbUUq9r`{qUlyljduX(KM=9!K`=QG5^bR#}6_ZYa8ImdZd<
z7IIzJBE-WhBfjO^&lSRU>X&uHKKgovQR(#sD=`GSX+2aTX&GJ{4rqJYHGlL~{bZ-b
z;kBD{0#%L^Ncr*YIv-Fx5O(k$ymfX7)qj?+ApHRWXt|T7oU9vMns-Cekx$~<XVM{2
zXB2-e?kg^q)nsvC-Bp3n##+Xw)6(o*SwR0#G-7Q~{%G;&;_w#}7`N$pq7a+2Cs=On
z0jsFeOyA(A<ki!Xosbra+EAa5xZx-1lm5j8zPgtNPaKVI$LpH=6qWHS=e&OGcvCie
zXKubNi?n1NcETQy)(m^ta9SwI6PzJ(XjwS(@g;fbm3|%#c--P=5LM=Fy)&AB$<M~|
zZ5f0JhsP}ufILupZPgNM730^hP2A|Me37ctO-Vsf*+ryh?sSyJ%P_J-pgx^+{lL;y
zZ0}@)MHr9W#8wM5Kgqe)clI6CS=7>MN-j~DxSu6N6U=8gw^lB0%C^}rUU?>JIpM06
z&*O|iOgL$e5%3ViM1`1i=OWTOnKZkB9-Z_MzpNYOg#a{rc`aemu8?Jmv_)0Nrs9Dh
z19TJTsjwD37h)}_<}O$aSU38+yBW9vazPDO0}h@(l$Yij=5L}8)C_CKmvo;*jl_b~
zPfdKYnh-G;ku5+0$Q~)>WyVpMZ&X!&rK_bac1Fdq)_0P=q9MyN(Hl!aX2+>L3=&zj
zZcl@Mea5d{UcuU0V>xDCiZ;f_M<^TeLqZp7BmnTa&rz{62#%m5N8HKbvyk<!oO(JQ
zzOe#ov3`KHVg&|BuJLMB$OI=-+Uxvb#=h8^c_^kZ<QlO=q=*7e6(sTlYvF@wq&A|d
zEi)>7osIYqw${|;n6jiIqeK0Jli(>etv%G9bX3{$-W>@gdIb?enq^L4tvx4Vnbm2f
zgJH2dsBn_(Jlbq-#r^~g#}fcwmaEXYsj1Uj4PU2@zh>|)hrhyZMQe_EmL|N#0FSz;
z{mg%^x}>|F5EoL!YDC1q4Z;2y04RxmZRu>G7n2}{?|BKyghKDX>A5oW)2nia;`#gY
zg*1n!`8-Q&+ox9Bu2k}{rV9)`O7D%f?12N*lB9(-o?qjNBw5WuG2r6&3GTuF>W$E)
zXpc>gR>XtDTWe$O($D`d+{*0u8`_;rYC))XKtRYoi2#W@XjB<Dqu_7yun+)abP^Jg
zX`i9s!sq@Lvl`1=QSHT>kW3Da@F<aCm(2pesrn$vw78F&5W^4i^!xeBC;(y129U&K
zg<tvCUTAgL<D6Ga8uKDeTpWEU!3+6l-6?3++jk@wI$eM-V$_zzUlB~d)Xz&+p((4{
z`1NllW(9MG^$hjDtVa5_H_XIjc40+_V=#WcAJVew6>8ERFlhf=VUkIhk-RIab+O8j
zi=VavYu@2<g+v;AVT6BgU;0uCXPTUFl&%wHUJsl3;;tZ+cstl#|1r8``2OKhM+zer
z4v%Zo?~O_%hxO$%6w>N@JO=kw#s2nAtPIo+j$PR)D`|GSKuW$Vb2|+Rh~YD5X`*Ya
zDH~gW{H11G8}rYfw#tS$o4#VkrL_e{bGRT-_o~AY1edN4hMW!=9uYkAb$q7c4q?rN
zS{wsdVvA3$i)O`dYc=!@FHjw5+=!4#M@PbhkjlAIelM^8K;P)NchVg2hZ2)w>Ny+h
zs(6!Daz?adv?vVxN3Jle{)5=R)7q7KV@$pmp?@Jft2tLT>Q!)e5VN3c&n>xNBaOV3
z2C~>gNGJjzLZwuj%*zucg|vS;&6Cef7GCMyQiXG^^j!Wp<;Bdi-XXF$d#^tI(apDR
zAdY+dtFDe<)IJ4V!)JdyamjgS7sBv>fS3$m8CkRZ{fy0y&~Dy#%s==a#9im(mj+0p
zvTx5Hep{B5RA4miW5&_1b;b4Xbysal<f6rFb}mMSaEgrXl+o$zIf_LWgx=H}TjIzh
z^-Quggk(KhyP@1|ALithdZBS$z8ih@1<Pi(sv)wbVZ5ZCKT-)#dCPHqi|fv*t0_bR
z5LmMBF3d7sWi&Hw&i!QX`YvV9(TWe<E9j!9Q0zbCoXZZQkUDYV_=$RBx0fwP6iLf=
z4P@$^QHr+0Ab^t@r5y6Sts`qq)Q;M9RcRT*@lHhuEn?8sYoH-;n4>_COS7C$D%I_o
zU&H00-q)MS;S8y4X$|Mm9GaYdS8Rrd{13!ZcZbB8sE=v7Z)G%X@|5K;w&GjwFD;7$
z=sOWt!r6*Feyva)x$cs%=iEKnd~Kkl1q|O%h%VG3IVLBKghaiPa9sC>erX-r3@Iwf
zVVNm5C)eT6nK|6zdBAM`L6&npydNmU&*;I=O#R&x?rQr`2EZ}x=9>IGnw(_DgZV<%
zIrj$EQXr$b6c7MPF<$0sLt;ZDqVlWMLZWdHz|0qGA|?1xq>EQ6YtL}VhC!>72xf>|
zZqx`qf6rBIT<9DbFsJ~eD}&uJ$UUMZKkr4%_8uO_?Q?J6VJaax^07em@xZ(x%Qaag
zaex*ij(v1<F3B)i)ta4LK|q6hYXA_DAtQQX>71Q&SrvZ|2GhPt*{YvyFj8wuU`SD`
zwO%n`?Rg>+5A_ecLOo@CX=?Gaf84GqD6+c~w0)gFMhXsE6q72EnhG}as{u*Y>&`A*
z@tN(~swwwnhdCVjUf+~-lGF-|Q~JD}h2=6bIvI7sqUcH+NXt3J^Dn1cqx1dlQENz=
zkM+m>cmliXnEgz+63vO;q?)FNs`Ji<E9o;D!PY>)V*9r;;?QnLLD_}K-P-OrD^9ay
z%U1dB_fWBpDeYE+z~_$8i@I>Nr@5-_9kKE|yP*!dDZ#+)G)kFSCz4nB$)Kf+*dJ3D
zQyGCF4>Nv9?ERWZ0~b`fHY)w;O5;kvp66bbI!>#6xcK7LtM)b+(!I4F8BLdtqL1i}
z<%^!0sEPp}b`}(_Z*oeW$lR;;>a`g`04<@~X;LIStE}Se2aG;=#FK^VPj~u0fb<^-
z3Aq5pf=DoMZ;f7T62PT*oT<m?9=ejYMK~;@FY@*E03CziZE+oX5!txWLy&D%|N8a|
z*lp)|BIm@w)e%(x{wgN-W8fgpemi|-8`0|3;e5fvnzzxP-)wDL^u*7(jYizj!&PFt
zip=u3`k?!EC;lcn{Np~k;uV=Ui3nL-&LIlCkUyuTO4HpWo_yHI%BI!yd<~uZoUX4C
zu^_*~85acrmO59CbJ<44Th2pYztb;$7~cIgfMGE=wfmfOcD_YRF<^_*(i65Q)Ty73
zw>Up)&uz}@0YGO<2P}wRGqvaLdb}c*oeD*>eqnFE*sDYY$4^xniPGmftL73{;>ZpY
zA(SV*+hHil-l<aMa!`%8NL~LF?B~uv)+}|cueczH4!}Z?%1E0V!vUy(?xC)F3o`We
z!&pYRcxXL&mA-r5bLokR$+uk{y_y{$_aM_4j1FWPW;WeT(1B6_Tc$B`Q5r1s(Z=FM
zXFqY$vKg>1${UJ<3a2^BFFE1?*~3#^nUu|l#YgnFYD#5v?6t9}d5jW&;j>IEHt7UZ
zGtPi!CZhZKYCMOy`Fz1ixRcTH-|2Rhe_czwH=${{G4j@?@9XQrZuuG~{@TNrF8HB<
zLBAil?Wm^-(ku}D`OuZzuQ8dREA-dNzALpWITVkUa_cLBN>EQ6ICOTC3<Pk~^_*Mo
zF{uxF-%ATKnoD^6hhl<kM)k9aw_2~7Kzfq%m~b<0Z{q+fFqjyczkagD7?GxJDOK6e
zo|4zy|E_rI<CPFM{OZ}KeZEz5Qhz`s<1|t<ei>|bhNFWQnm40&Sx*!NRdd{wf?AGj
z)hUchUC8bwP1z)B;XitdhwA%!US>z`@$>2ky1gPS(LV^A_$POQy4OUL`{YYhbwBdt
z4b11O6PCUOv*z<R1p^wG#;8u9aaI+6D*zDjWpoqo*zg^w8ITMyx)&3`T0}|;M2U%C
z+5m3NdG~4jHo$odAk<&WH_dvOf`?kMMA@gl>VD+d94Ja;-y>9qnu-7@)?%4nf;8-X
z@uA1Bf0c^tL`TBod(~oEd1)3zEflEX7-4FcY@3>6P0S+Si^D`l>d_O)Q>`sk>|uE!
zle&PG)Oa`I$bbMBD?m<%@ZwfP7v?jJEAw`j{c#-ZxLIfp0yd1o45(bNRuKYblw-u2
zU0X+fXOd5FX?^-RZuC~%@aj2jqh*(Yt~!pLiXUCrcZha_ZoY8tcB*+lcEL~q4AT16
zq6Colcyc9NU>PmS8#}?G*}s?kL`}~EQK#ER!>PQu<z|50kkP6?eN@SaNX$4nib|0H
z*fSxhL>hNp>Kf7yM~JekXsV7X2s%uOxOzisdMo-2^jJ_pdc4_1Vxc+zqLGtLv1*`i
zaGX@^n`NE+9KPNgS*CX4Qrc83`qPHjxO0&Sv%$0O@drTcjO2m+5_H&8s0f0$7BL0U
zh1?ljB+d?xjhV#dE?T$ePx@nq)SelDsq*yo8fU!J`v^`5pixVX#J#nrA%GNq?gMfw
zQVqHfj|UI<aMYZ?^9;suN=*nJT84mBS3H*9S@;-~EUN2dI~bBkfmD%4E4%R>yz^`F
z*6RG3R-Fd0mJTp6&1{;nPiqrqkrPRlsyDb)?P34x7H_@SxM7k_B@S*-W5=x>WaXTX
zhN^(^!S1{vsG?T_4`}^i<XDr4zwB+MXy=gAr0ZvaJOckL^=Bqp@n%5)35wqwvKnJ8
z6KKU}&O~(pZn^l~w>IYjnWaV<xhHP^fLMM1ITEq}F{<zIFGZ#U;c+OxJ~1u8Ndyex
zfUB`Ur2Q9RO(O#?fYlVXb-4_lF6f(jnO#U5<@M;q>CyP@Ur~!(TanpdWywrePb0p+
z6~SUFtD`MNNFX7(rKk7>XyrGbO5)_zqWz@%5BZua@z~uYU~VNV<((Ziz|WQ}x+vgg
zS)-E}aMWwUA-U7EcE({sE<QhtJFJZLJx38n5gC;itx8GZoZ)>~7ru-`WMWysVKI94
z3HC22+Q_dji092@tY-sa;^qU=w~AxuRD`8=qW_J|e)D8aCj&bpv*lBCA?|F&G@v4^
zrVY&jOH3w*X_%?|K>Av!k!wA-oGk(jmV^#h0^pdXz4uqnxI4kz2P9%5il`eXq!Kf3
z*Y8W``?Oep_0kQQ+wGYE4sw}$3-^~W2IpT}{pJ)y;0TpBo^PjQj3>2*08G`$Z!s(0
z3UzvAh}((cYEpFs9*Y(@;n<HpcYHYh_p_V>g?%Q)s!hM|1L}-o`frFcDqc3QcsS$S
zHZ*0(88nAIQvts<Sh;Mitgje=y@*?@g&lftdl0<P`&JYSseQAM&Dc41uU=f|0&;v>
z7HSuxyYVeTCb$=OZ`V1WHGl?IVHQ_PYUC6HWf|<%KUOqnFmyE61$h5JCCUJfn8bT6
zcI~0KMy=;cG)&`j+eK%?No?f&_*QA2QI}`;b?ML++I}9U1wgPP?XnO{Wz*N_+Av4Q
zzW8KTN^M6NtPYmUkKu>hf|8+j&A~u58;kSx&0?%NqswS={64Tiy^(z~<nc_2Bz|r>
zhRf2~O#MvV{f3kMQnyA#Ma|2Nl4AYQigs)`rTt6{7U&Q{|3RhG`PXQ~b~`%MLa_J$
zdX=#cuN`}$8w@;z^~n?5GMtlLe9OJMO*7=gM6nKMV28S_SlXIAHTES^Sb9^s=Fsed
ziz4#u54~Yx8i4(OZD_L~kj{b4{68^i6ZliBBXY+kwPlVce>OaU=OLtf7#rae#`>mI
zzuQ%7%)G%+BpaG^<6!um3)6nC#6**ZdwQRV=dQ3%nGN>h9)Ko1gz3YjY~leaO3Mv|
z`r@rn6{^e&y^kJ9LK3O`oy4)^WCv&OwPohuaF6h@XmOZxN|4q;z|INLpDo*Htx0qS
z5+&r0`o2nFH+(zu^-cusFM>i;MfqPl@tg6cZ5HQrul^J6aMl?^e12l(w2w{I^F!%2
zq1haW%g6uZ{5!78oWphL%jHz|;N(A<m{5!*fRvsB93;}UlMmk*e;`{xR8>YU06<KS
zWWis{jj9l$2+3!+H>U*R{Ca=}ly307urT2ehoZ9IcJ;8!6{kdhMRa61S^({NB})L2
z$YKHyI30XM4$Z7;pWsAycA@;TAFAh`@n9RDKWUY*QZc{}AcaIQa{;u^S%W|`P{LpI
zg8PE8I*lxWmL2T!K^5nlluV9uJT+o|Y7)U`v8<nj_i=~oLF#XMcIiEsw&s;V<|;WK
z#SEFUBxH+F0uVhWH{BZJ!lO0+W*WUOT9Up#&d7xee0ETc_Rsp+9VQC}e!K~v;4933
zVc0T_jz7k3^Wz^|t$KEjb&vqJi@{vQ)vtbg+Aj}%3mc7imane=-;jUl?Q65S64ll;
z?L&=K{2n?bWE42C7rmZ6w-_|w20=ybQTOmVz$WmU$RO{IJ+$+FM51%4npa#9e4tIr
zhC_$EF~@N{e?2r9rkW$GM+wg*ZG9f`1?rvo@Vl#@x}$5XNpG#g;14bPN)w-e7%VX3
zz~secDJ6TdqmqiZ<d@utH}TO)6rB?0DpS$x?Eg?o$>A{!ImCm}o3*T81qv=@=p*|a
zd^EwLi501_&62cQOuI6FPI8HRi)qblbO1(c1~BUF2mbd;hIY-){6v!wwV((ed%T%-
zXS-jiHKUdG(YdUF0fVUKK&z7h3<}rF5+<fuoups)VRt&1VsOu1xbZ?<J(n>-adu$a
zlbQ>_0VD|z2=h8B@W!KqRn=~q!oE-6yp0x??u@u-o(6)~?*n*coYR|3hxn7RP#keu
zOBGztY34j4kM=AlJD?}wczpuaw%JV$U+~d+jGyP{2sdJj?y7>&=cZd;H<T99l~qRv
zC{t)-=W|WYavQ5DSWT$a&Hz-1<ulOo#f*bHZVkKT>NtN_6tyN>%X)YiSdV|eicADD
zR(^52QJan3P1WyVQUab7g^H~__EegP-hSshzdt4{@!7+9qYa#I5Jd0_625IEICp#J
zG>E6aDqZx5+>Rien+yAEd!?xTilhZ258;_Ik{6g`lsW>+_|C2tU2U}XVD?;AOzb7O
z5mPTyx7k4Lla;F6tO5h~T#_ky9ZVB|&wpM<;5o0FF+ToeJnT6HVXP^@)~WG@KyxbN
z<BkhK6kwtOTwn5}?U7&^<A!{Rfm;<>efD*CF)G$cX#JqpFIM3!lM{CF1<{<wR_qR~
z%EE*BDM&5B4T-3leF;OnD4lEb^IT#W4VZhG;?5DxZ&f?bfbKp6!4H(&Qvz!DU8#U*
zb3eP}X<<0BI?jm9Yo2X;i~A;d9V}W)tz)ZpsV7PsJP<Ol`vL4i^#k@sy^E`0vMTqu
zvl~6&x#ZHMsC7)wa$^geh(4z^&Vw!D;E@O=U_y!6JKApl-pMRCB0A(Ma~ou)P?Vg3
zeg{p9xK&xG5YDU&&5XUK!5(}linHI{(><^hqsW#))!}8`%bKN*IPPQRi}{pQSFH6V
zHhodOKT;I>>>foD?j4tQI&TW;Apxd`O;<ni@Noe(5fOxa*B%|%xhc__`P*<+@ZiI3
zVsP~10-YggU^KiCqK4t;Y^XNFoOi`W#QRx^LlRuV5wFo52R3mbiU^Rbm%1AsU}`we
z5D<-vc9j(DUtH5*p`ZpR9WN`T|1b(g#IeeT{iLm^^p6qNl*T$PDDM5MJExLUhId$z
zrj>pfw-j-Xpx@qWxbL~KO9h|W5PN(sNv5=03T&(53bN5UgvYqc9Hu*ju-YdVdZ(9*
z)u2m%48r!h4rXUu@IwH9zM`J*wmj)}3Yp0~G;A9mz1gC^v1=hfOgb97$?lu1nUYgE
zc#ANrvugUMI#%Ie$(<CnFt7pm*mDnjdu)%m4&eqtQn+cp?oZ?$t?VbfQViRv`J9Ke
z7N)rSy#rnC8@=4syLO)0T9DrAWEhb`N8~A^RoLq0%Y}uZ#R_`6MZj(EeX}W7#x?SJ
zzz^XSIJ909`Z0yF)|D_^G9P%%N<M;6?qnLEN!cc%CR5)PI}(&k&8JVuuxLrNoQgV=
zV9{Vf6I;e16(#7J67kh}e>8D^L9gIOkp7TxS$%7>NTfV?{E7B8vic&yZ~d22=861k
z-l7mN)83b^_D!;94@`1ywxSU0(9FBwrEu);+pk{SEBiJ54^s=5ufH1Z14dKd<)Hwo
zI{KbeVOa6$d&QT4e6DOfljc+x>YQ%Ga|0l?7j=L6sKfRc&KDG%Op!7v@OYorACXS4
z#;r)$Pwk4o$}TLqqBmTg);{4){BDW<c2a(7nbFvwpF<sB#9~>m-Sf{YgU^eBRtKgM
zS@<qdf&7Zb`kAgMKGT(9se<d0m|sYjxD00f7_h*IGYm5t8!TEkpIj?A`R8VnQth%$
zjZP;j#8qrY^|n{A3LF&uK)Uo8+jFn|(Ghy}u|T-d&92E#=Sq`~`sh-hu3{%-?US36
z!+$WdEc4QNX9Cf@M{`0ow)Kvy!FgoFqPCX<h<kM9cF^HBt)&M`n=FBp`m(qP;p?f|
z$mMomPnMFxPJ1c6uxA$2L~UfhfF$*UrC&jZP>K3fL~APs;t+S8(ahqc<O=~u{_d2Q
zdq2;Ut_u2u$Vu(d8LWl{KX4N4AV2eCTAWOrB9)Pq`y+KnmevPlexFCJ=jJd8^x>ZP
z5)XT!EdRRN!3|`Ieo>xX8_lQJdL1UaPuk7SfV=Zn!e-M$L{LNvjFgI$wp%4cv|53C
znOUjU@fp|&_B~oKxhAqb*L&aXN!94K{fFow3|TqGm)c<9$0EzY4sfc1cfrmXtqeY+
z;jeJ(06CF*?K`M`DJwLw(tnu3NCe-|&K)Is2LTrZD6fX=D7&&MYCb;x=Z4eU^N(-7
zO-AAOSpbFj0DC`e3{@QfKLXCA#J3&@ky<`&7R8qB0jXi#3IZAy*U!E0FUVl*iX4EY
z1;D;w5#H&4d=m=A@svokis18lAO#?n;-18n5kDkqT?xV@rGUmk6HPyoao4EGg$`^~
z1aE9k>kh;{*$ae9iEXO4Oy2j(7S&WyOIywg_o3vJW|9x`zMtA^y`Z^sYH?P5g(q<0
zWZ~xUr59?W`h=LEh}|t)vz=g>h6IShyUzpcK$wGllmK{MZ%VgJSEKl}i3kKfx?Z4h
zH0OPg;%75T&*^RaGv`5h3^;7y4AedttY-x};Wa*t=+daDqW%jU?!e}n_Ka9=7iQZ1
z=yu19Xvg_$1gtFscn4#O6H{+UJtTvU(kA+DfsNFl`VWnp(`NFl-bjwP9BL+B_%)%C
z_`1(N0QD!eNw)GdAMrLRkYi-qLkS9%k*S;(?i6l4sV%)L`Ry}R#p*kyUO~M9#Z`X}
zK;Fs0(3w!}>N|bVPJKiae6(il9oB6wL^EiS-@dbVWso+>lxC0l0~mjqLf5sy*sK5S
z8^tI$s0F2cE138c=hdz!F$f`dOW1~MTTr_-v%S$<O!@~v5?Bo+AkgW2pzg@h4R|27
z%cFW7_w}AL@Xvd_a3y3R26b?4wyT>pbI|5wgVm~GBH&b(YiVNm#00FJaBA~t0hco3
zL1+{-3LF{<`Nhc|sw$AhhCxBWZirBShF;Ro9x|qh^X;Q(37aUR#E=ta2No?Vz`{F2
z`eaTD4nt#dT`U7ia<rMVUPwfH{Ugg%N5np$wy5phl*{EIR-5TR^9IpPP+%7XZKB}E
z48(-^Y8MmO$bH__(^&RaV6Tm<a<TkgRhzi=FxbnCg~j{TZ|n?R`lMyhl!TLq#=cl@
z(9(jCXAZ#opk!dmEyqhAEgDuES6Hi53rQnlN+<BAu}_ScN$dR5Qj?#PeY+T7J@8g=
zZEgE?64`R>Qp=o2Dz~NJk+FEvENi_zRA_Fk7s3q;caY5+AfC8|M1gt7R(<v%YgyY(
z*u;rCJAivgQ3MBJ1)enL-2dWO1ZZ7ct7HAjA042D+5`AchVXakqQFy&`wSV_?^KDE
znTcu5BQrYgSRK<8olR?0u}(YJIu^W%yu<ETIQ3ztwdr!mTn@_iPHK#EuQ=4F;b7vr
zuq#<MH+NtIGrQD_KY<Lv)*G<YCJH{AH9sU~WyDp9ovT@ohSol#Ht{a}JRDKx$4_ue
z*5M|Pz6B5SohIksC*%NdQyg^o#kf(K9~xn0IB&)Y7ZlTqTmB*Z5E7Y-NeZXlIVNh2
zAhZdXYHaBiE5|1vtb0pJ>@s^6+=dy##q)!2Zr3_SPSz!{8OT}4R!`Qr$N62DyFJsh
zpjaVt-=ff1w-p(<^-TMZGl3&U8$rkgbPjtO@<6dA(fv5|(nrkrp<AmBdKg{E1Js?5
zJ*ztCTQ%JXOQiS6T8KF3^HI!1wZWcx&lAYQR<URrGL7QTix@DC9!Go9AU#0osy|r&
zB{N?c+HRKz{FKPsoya(uzQG(Y8OG~ErnIZtYMM^R15KWM-YA$I<LpA&1BU#WTEZly
zUQ77a|D3HW(U{2Ev`QpmpVREOI)9e$QBkxbpiXn;SEnuwL>*N#J0*c;lG#H1YvL3#
z|2+$k8K^7X4?H}2W(N>CxF@fxV+P3*{zm8n)GL1RI{T{mB{5vdY6~1yozMNaIK0XS
zuB0WoK1&T%tqKlC$Y<(4O@WwM>;SrqtYgzq<07QEx2%-m0+^M8q2HFb`}C``P<v*v
z!fc~!aF4AVqw^j{M5l+EP_cg%7d+Lw3oF2qQ|D~qy9Oc9`W>%fa8!)KEuEdH9~`Tq
ztl977hOcsc)=f}0QV>G-Y^m5lhe7>!O1T+Hzt25a@t6HzM>#dc8FcHWn8^X>>C4?u
zQa&TpCap<@xf{hz%d<6(D4>jbgB~uFBG=D@jrDkxf_%EF1YjBU^QJiFhk%6)@8gas
zE}^0O&AsouI?|3y7&K+cqzUv@C?$POIa}2xDaeR=EGe4FF&BTRsNpkjHLq*nN_Vi`
z?rI9;SA+|Cu3{Z+s51NPq@%ZDt}u-*Mzz0MFYy;eOPCS$+fU3xqkMArqz_tWLOgFy
z{|vZ*G7cUK*Z8Sbs7>=CHpzD#ducob1$0ANFIwc&g%9aSGl)-Rd`HeKsuD8DUL(u$
zT{w;?lRu4Ho1J14z63SWkK$K5f@`clEZ}fM5`X3*bPx(Qe3`EFFLb-IQ3;1KADpO%
zIiVvM>o&>#_&xywExbHb8na8eKRT!>O&hZ)<|O;TIMSFEd);852RDk;06T_*m^)5I
zA5KIWhH$9vFTbSFt9?s4(3R7a{6pIP!nx)V1X>L0l4&V&ea|Pr6E%0dBr-$DOdTs#
zWkpXqp+$Vov;pT`GF^5=QYntzG&3X_&J+_PQ$tFzlJhyvv#AXayJ`30=#C_cFfQx2
z_NPGa6=`(R5lPIU_;01N=@WC+SSE0AyViYB0Y+2BD8HAevFyJ$yuFDx2s3~ER>x8)
zyRB*b4$25-Y)Ow}4VO~fg%oV@?yLkDuI_cV2hA6+RA+4kdyVKzip;!g50?L2?3uY?
zRN%~7*DWJ8q^z~#(<H>&x(_6f$Do^TNF0j)oN2&vRcof)522MsTx8I0#Gn8jEw$7}
z_D=!Pk5i!qJEDRdGhai_b<JHLvnsv4nc9Ehm#kJ}H{lr71nZRvvS<Y<Aj6vCX2=`}
zF};N@u5Jqqb>p(yuGgElywen=Q3`75$8s)@?pWhbK_bp(RcHm@{aq$rg&I2AWL<t)
zjK1*aYxeZ-hyd+Kp8T=gYA!M)i%!xa+vnYu)-T&qYB^5nt=28OLSWQ6TM|difLgfa
zQc+Wx)+8zJD)s$XuD1T5(`7!~5QG3~AV6JC)ywkVktSlSvBPt9-S!$kt4EF3hhvId
z71yG?udA_Q>yef!*FuaqPUxkNU+mu_vM-Gy^K7>i1Kr6Ms_l8svuE@S%~YKIX++B$
z*-N$FPDMrpEo}~V=M^1CWVzFQA(va~Ej|(0%m2ZNtJP6{^z+RF8e?&MDl#(9CtrNa
zX#rx!_q(lVl2Py@yFPQ@?vV<0*Z#n@h4EB+ii|%-#mFEN(N@?aH!~6v$*E~terCIC
z$6U4{!~{9Sc5h8TUQt~y@KX>H2|CvmILu00l0@dhz6L`l&R-(<BQnp2gj(YNhB3WP
zEY9JaUjC#KeaKuFf+CV$W=ySlOe`H7%D#(2(lISC&jAt%{%Zbumgn5cNmdAVcdnz_
zDVe@dB3AbCcUUR%f*1BKGnLDjgPEn`IJp#E&X21&2auLvTF?<~ZMVC)3Dfc(*9TDZ
z5K$kKgajH%vy9I&r;aooi4|BvlVqYFrP7KL-kZtBoik!^B5IS+v`Es|`TdmL?=(JT
z6?37QDH$TNJ3m#mK39Fc6Egm!Ca214)HE9Sbj5x|J^{SsNi$;eAw&$&;!pMiOsS;E
zByQ@XCtDHg^N_K>Uo1>4I&|yr8sYRrLNJBj<ugc8iu)BD`<*H(D!k46P(!_cemAhD
zyOD<R!xxb`N#G6&Kl8t6dhd9u-~WI7X=lG8d!-JAY?7^H97LI!DVvOPvd587M&(!`
z``CMngCj{+_710Hk7FDo^LKfFe&2t&xjdiO^%(c@xXyXmZ`fj)08`9fpmujZ2!a{}
zT@tew?xn3-5|ZBErX5=P@`YS%t0Yj#OjrM5t&6>jlcF3CN7AzmliGl7hhJ)>>s$<&
zkIbU~s{FK^b+b8z#r~2V-paziqO*|n`w-#+xlL@3s;Ikbp`rooqq}sZEz4Mx=whk&
zbA@np9V9)p6m9i3k>>HVC547Wqj%$f{vBtLKTCq!OjWSlylvD1dwBflm{;uY0R52u
zU}o&-t&w5&82%aa(S?<yU+ScpOVQ&Q@kW-Y?^JL*212vO`HJJPb??%Q8Zq=<dTHjD
z06eUwoWV8OYsQk%my4|jB*l@duw}s6Y6j%TldPagD>{}QvT+St7ftvP@I}$1Z&jlf
z@jIygF43~U*yqSZLwxoV;gR9W-)KK=yxTw&Db{)i!;-ULD9eSv95wR{O|cl6;$Gjj
zW5<4OD8zz)#l~Ebs=0MfKLE=<t%h_Fup^#Pnq_aWw_R8Fln{X|+PggAY|SFl5s&(e
zyL_{hbMGn7I!Kh`U0W^+jK}whr0fO5u-8S+&tP2BCS#8a6Xt&uRQ~I)MFdSfeT*&R
zZIfSSmWf1h$D<L;g(zAs3Q|INQ$AI9zS(pUe(3S(4U6w2nHupY4lpJ@C(P%E66k1(
zQ<u4iog_5mam1_&_y9@Kl{X`wm&ElmGo3|!(+MMOk=@BR`=5r}VS>vRJi}a-FA=UX
zU_wPO0rya%@cD%+O=`%sD?aM<{Yg`zth>}^W*MF=myzkXWSN`=ix?0t^<7$mXaCJR
zr5#!K+9^O4OF>)hOE5mP{a%>{xqUxqdrNdC33TQivKnYyhT}Ga>VE?!hrVox@BSiY
zL%}Q!;&BUxm~sQN?<a}2zPiM?>a<g1tsx=(>TKJ_d*_w}nK{Xn@>(-?U#b&3P!qA~
zl8d#DvX%=Nyw>fNwaIp)e^zV88)|$?Cu&LJMDj7Dc$I4Ps!}4Cd9}JINM^O|%d-->
zuJnOq>L&>H|B#!n{<){e#wVfQ>1(}1F5O)Y=5l2(nO(el6B+Vi$3nkKRI`twDej7)
ztWi&xTwOV5@QRC^=Wkk*ZRld{tLCQ4H=VRl&R^aPQJ#51ZiaFM(6>vBLPyKjHev+4
zFB2_W-3E~*$W0UOCt@f*lcMT(KVM{a0i5xK<S0%6PF85D!*uk^z3H}z-rCQufMYV3
zU=1Och>NV^40=j#+Fn!a?VEDxS526ix<P_5S-{=Y)H(D$N|lJXB~;a-U7=}*q?$iD
z4b}Axj`v2}M~P2eAo9@BXEmQoJ!kRE2f9puHUvDKKPeA&`%i8tkr0T%k(Q1Idsp3m
z&C=kc?uW=i-#;!qF_81zc5kAgR7om)qvukr*zOa%Ps4hPdN2A}TtE_GQ@x>Ynke%i
zO(7|sPz3Y+?%1gFy55}iy5ft>Y>TSeroXpc?Z+*@ldhA3^_{m*YtS~RD@W<!R4|_q
z^H}(ypDpifQCmx=7Z2pR?>XpPr{3>RlV~wC?s#nGsX14x*Az_wd0BP^tLr~Peb?@q
z=%qu1{$FP{lN^tp9osotN+T!xbqy>pn5@A6zdn2aID!`YAhkSKdVDr0LBIWEc5K)m
z3Vpt<e{V==$e4-Vphg_IPup?UBtr|z`m%evx18C}!SpPl(cLWWPr@Bf%!a3z4w@n<
z8jN5*6bYkUj<S#PP?shytNYoOl{_E%VD&{i0cT<vPMS&mhDVXN5C*r&eS;!Odcvwu
zT^s${ORY`F?AOi4i)ZiqW2ReGu8G34^%;Jd+cb{Qs7`U~*Y9#3K0hs`*j4HOO=n}B
zZ2a0AMJifhgUTA*K3(uBZ_5}M`e(u!PKuT8Z{ZepD46X)Qk}kE-HT_4kpVdjHSrgY
z^Vz|iictE?ab7EC>V5&irpfmWGi~sX{>UrirTB6D+uD+EXQw_T)##zRlf|rDFIiJW
zGsiXhOUwne`LyOF(A$Idk4*;H>$&HT$XLgIWJuk>U|!o$9+670^Cx4`@xZ<49!(D}
z05a!~=S$gp`<Hu<Y<?0GyD?DC-o5f%iAVT`pdp^P>34e9YxSto8AU$n*UD4uZkMb-
zlJY1CI%%TRBjLHKBF$nKXepP`e2%Et#?RlT8=!-Vc3sO)v4e4_c&fn7djD^a1#+i5
zJqNR5NAarwCDb3&47fJ*u<DfV(-_z-Dibxev95H5GUc{Ucx8yy@|&u&6Ni5LG@i|;
zcqq24U?as-Za@9Y!i$9#S|^?h;=O3zlD(LSU-Fg@Wf|2YB#(Y~wr)yr<J4nuTvB*9
zTbLrRw0{;Yi{=(_6Cc-++>3&1jFuB@fp>dYTK-7gg#3T7vw=SNf;w&ZuZhnVWu`ml
z6IxiHxSWF6=U1#WZt-|FF6D>s`4%>kUfFNRg2E#6niQY;?`)9~rH_)b(%rs)dBW~`
z*c<Lo8?0B(H~=Q=HBx}~2fDvMg2$l@`-gYAKcdZUXX*35rK4Zzotn7-x?GatglzN+
zIJ*eqWGqX=usUlqU9jd!#Uh8?@!rs=G7*9vg!=as<MWv=hS4Uh)g6hH;g+ni#1WPB
zvrkzrSjbW8*=Q4uDG?05*qx<%#^z87VRfq(JF^$EVt;wz@3S;{UduNt8!dWjk%4Zx
z*bzUlBR9u1_rsPQtG*gPvesi=84N?M{u>LsXGD9hR})ZHG1CbV<h0K%agx3C9SoSU
z^x3H~8mQUjU+6TS|2@=DR{kXW(y7$~Th9Ek(2m)pguijm+Kr1dq}AM_LnTB-@IBDh
z7iJNR!}ZgzGtEi*9X&KkzV8yX|5V^mQP}EP|LuVfy6&9uy?5b)cEn7>f6I}YA}cQF
zi7EK)?Cqnti@h;lI=8KnyOWZjC;Bbj7{DGmw(<_~*4&PmKSs(Bf=D7D6rBayuWi_k
zNUT*4EI`rI-01G{YdjfW%kBqIg{+f&QY%+2y?P;&Rn|KDzN#io2*;cT*jLRh=_olj
zj$B1m<%Z@QqtLX6+1u&ENTkcvHu;Coh1%rRUbA>)CsMz99xS^b`42Aq#HZ6#1@fZa
zU_-k0jty;Wl&hDo&Cs$Nkt{z*4>Hrg3O|mJ)QUix9)&nWbI+N)r_HN>GPd)NQN)J0
zu3fZ0^G@@lIKoF*uIiIoi?1(Ku(*`c+*eXcX-50my5)+ix2{6+F8_YLK_8<RjR|In
zo+2K(wm7GvUw((N!`>XC7j@CCyRa6{wp%u$b7@vwch60^&{lP3X0WL3IGlO>@Oq9A
zIM*v@3rn?o2kAvHHI1v-(xw}`DaEyQ`QbagJnpV|;(;}tL+6^$WqIG=EQikl&W+A}
zK!Ti|cQMkxhuWvjP0$<kY@Pch8*9Qh&7P>3^XA`0gEdio?fp<nr&#b=q!kkBe^Gm6
ztsW@D^v-o0T05-VGRLK#mnf1n{R}Bi7R-;oWTvN*K0Wn<9BO{*v?0<JaMyW%wmIJ>
zg8L|J3H|{u)KkMVasDY$RN;>p3?~Vmn$)2+0X68Uzxz$nO3P}E5!zS5u_*=?WE(Ea
zJP}*83OteFX^5f13i}=h7^!!n7nupa@A;JKK_oo~IsuoSULAf6xD#YiKWe0x{!hjH
z7(w@8A^yS9`_Qj$g$rMOj%lyEoO1}b=q+$IQh`#owN0N9AD;jkzJ5rj)uT*v+qf28
z&S=HUw~tVX<Di<}gk;K}T7CShJ%r%n>-YFcR#*L>`!H^j&pQ^v(jM*)B-!p2jC_9K
zc>r@YJ)TiCAWM)i7rqm{FBE&^TYs4-4P*gv`L<Tg=R8G{fmiBL@EK);=+>IDgj&_I
zKSUnXB~z!~E}uO^T-bzR3GnAe&8CV)xx2#`oWSL=Sw`GoxmpDMPbQ`#wDD0Io=vgk
z;ro8$LwM=uU@Ty!6hUD}Gpj{6itW!WuRkz$#8V=2raNDzl+~c_vPt*i*Z#^L6++E_
zXJVpl)8kTvA3MGywMZ2o3Q*h^`*xT=qecRadjMpk-YO~}3O5*yU-ZqC7Xw_Gi_OKz
z#oyUy?pZihBN^pv&_U831z(KjkS1>-;ztJOvR2+CMtQ7hP1oq_6Av~9BnM$eFFi3n
z5&cdpGEo!zDy7_;<~kb0l!#r7U|Tr)m`@;Wi!c$Op>~5D+dNFhq<<ITqnUJWKl=2J
z3iV`5i-TDlCcki&tkFzDO0K1qp-HnwId_<a=Or5>lEWG^ChHvza$&}K@?i%8QT^O~
zygTf=E(tMGuTs5-CD>?aDR*%*^ah<_yzWPRHmMK?!eNX4aeCh>ez=He2KgkX#XhFQ
z>ce~cqF>L6XWVK&4Qy<?DqGE`);L3cSU^aIv;p~2)rR5JKM582aL|~O45$HmXV&6l
zRi(_;OxUu3+o*{QQjBVf``Q(UpBn=zSxllEi`#Gj5RT7D7ghA-;lKUc#E|9sGJ@B*
z3$0p2syq*%-T2dzvrp*A5zMk4xy3Ug88F>Yjxeiw?njQB9Xk5_J>pEJD~Qi;Wf^fd
zLcLlf=N?N#{cidO@++YnFjCxRPKGalNH6QU+hLg|r0Ih;)VcfA>dM9Sw--Sl$ED~r
z@iEBTBRNcTD2f)oE_<lw%Wz*P2t@UWAhRBqR(`#6{UI9^>^e{wMrPuC>npQ_z%rGm
z3trxeHs@u=A_^-K{4}?<<c<@ihr+yGCv~N(=&=d#*9PAyc0UiEiz`7<-JVM#M6NYJ
z0n9FF>T-1r0*1ovXMkc3ee3afA4&BW*h)W;wEl+(4JSEbS>kO)@)5FIS1jBdhnsFq
z_ARDj-Y6It+IU)|%ib#Ptd-V$Q1|aWKy-&8Rs21l=Lc`c>n;C$hdILsA7`YBO0DCU
z*T?Y#_<%j-FEKQsZ%N%-<pO_uv27%wwK{QBQ1hRb<kx3=8gt{FNu{vnl7-zH1ihg3
z;8$EMNTFMn4H`pe7(jJZ@VOT%D(*nH+Y3HjYjxu{jAninuvdJfY%JRJo?3<8R7r-H
zto+9+B^y_QlyKLN+psmbm8!FkIZ4%&L6xnm=gX9hlU7Mk6YUUlI<X<nhdKv3Oa%9{
zd3wU&fl@3Q9*8nax-aUxE*q3}lrU&Mh+4JGl*v`q^VVYqya=yYTDH?fi%9kH52sqP
zz}ed|wy0CTE4?mRQkgXmy4!$i;#m5?&QXR|+quvRCVKXxRE`((LAWhr%lqgh!k3(O
zP-T<<ij;NlqCt57^)IC$&#%P<eRq1usu}-kpU=fs1jEMF7mFkF8*|MuJ?#lTP&{4Y
zu}Cc09IKC*iziT&%@hCUFulQcXNkDpwk3VA^?2<=PCFm`JgVITLNtLmVtSsQMEI3(
z9v2(0N7l_3$fv5;;$S;+YpB-PdBXln86KX67vMS)M5ml$wO4Tb2JNi(b9FM09jK0~
z&zH(`lE(JNzGtk^2mdX%_#W1F?{z&->2ppaRce%BE~tCM0sYIfE10tb<?|2bK%5)j
z9#wwUBRIg9D6$#H9+A8Fv48>WO(JNhN6P1`<*Dyja>ifn{F)nTJ>2GL1n0zJ*0S}!
z=3fX}hoCR9RU;NZh~O*C3b+@dw;;U#{rBMKvyI@Rkh8wv!z|bW)AO@*W>Lkw;G@OP
z@uOQ6jEA*r8mTeEgD=a{CpXhTzFR2fytH?zY8VWPp-+3saT&>6J?Yl}&~A&$qZokR
zZG8#3TSe@jFS1Ak5g<K~y!War$iTd7#@3O5vv`z`=NVM>REtT_hj~}lM}txmIrP+p
zx&2ft=ulfk^{e%7mh!n<Ry%ehT4%lEUnWWY(qa+)2&J>3{-G$AW#-DWrWyyx>stUu
zrEO~1B=`n0q}oRyt1?UZ<LF$ZRZ3xAjZc5Y`{;!$J_IAA{K~-aHp#-_NlV7iP8drX
zd05EZ*O_x@B{_a49aK0q<pSzC6WLLlj&!Mh-d>;*x|P#!67X$U+9YcNA#;TDyM8}^
z*)|b0Zqt|&$>-FoZD!FUOM6Mh`!VLP(7)fot<owFB!);N$rN8z6d5)-Gk7=y-P>}0
z`w!=FlbM|I#;vO~Gz^$i`{BAgX_0|+qGb;CAxp+eYQRpXOvRuS_LzN-TIa~8x3F}S
zfjM1TE-Yqdl<leyApJk`_#Wp+sOZ@Ai6?^_jJ`ixm*oz0mZbHc*K!DIFMdGmSiEfN
zhw39q-Iaa4uU{Wl`0cBnQe16xW%-8ZUUXGgfn1vcdSQ<Oh=(+CHcvhzUToZ0z==GQ
zi!!;jN}B08$~H(rPNA-~#COwsFjv8b@HeDt=v`@is`x<>LlEw^AVD5H``@ORao7UP
zsp_+_1g@W&z}T;;p<Z2SGR5)*+MgKmGaY(SC_7<?R`DmdzVX0VpDKq4Zrtx0xCGH;
z=hima)-rR=%2-<03pQHu|6c1NF-kTL`*Qkn_byq5{10fK(FV*doL*PxBRv{Ci+x@q
znq@fx6zF^+qR{SYQ8*RMsSy?HFu_B$4g;D+VcnF}8~vtd+*rsoKv_6vE-C&a`iq&F
zx9;EaZQe}zXlBO7;Jk^THfPIxQKi2k*9el}6|yI5j^Ds??>&jLW5B2=Ymuijhnq1`
zhbY}vAS1V^uo9Y-n$f*SG;x<}<9l@00}`>fUq_Tt7r+`Fs90C7({D+L2jF1a>sl7(
zyYldbo-3ZE3>p~6nW<~qD)Xw7?`HzC<&`;*_y?0}ecn~JVXe%3MTI6E_yo2TAH;u3
zCRzv5q2TPxb$Hs@##4X@Cv1Scl`yEM*~c+6e=JB9=!O`yi6%_kgC{&^ZI-web{;xA
zli7dC>k7aS6+T@_mH7J+6zYd*(2*%0hx5(3)dShwt(<&7ZD~HMFQU=$um_28JHAC!
z>s0-k)wRZ9m>cIi7Y4_A7T~MwF;P?9rkrg3PH%$_mLG-SSCXd%wZa}*zHio;n>n#8
zEknh%zyGbA7xdp*gah9L_|QY8te5<l?-UTBk>q-%pjCg+pd}0oNi4=V${OVIF;t{3
zu2t@))z&yc<Z3(ZqMCAo@Gt1{90S6PntKl)2>_qhM7zJTHD|RJoTG*_2TU}#_DO~h
zV;z0PT3&Ie%%v3PPPdPhSUqjLQ=y@ouHC&#2H#O|DgyeHwM@(vhHjWy{jCqnBU9*$
zmk8;o{ag|xE*D^3R)D?nDr8p1LUVaL?9es!pJ+{udL^9~X)CIE6R1USQ7!#zVkyOs
z;G{IK2V_#5g69}_dQ(BiAXn!LFw?g}@oNeA5fL}_vO1M9yC^UEf5sz&lEi}bhTg(r
zuEeF3dVGjFs|1yDCay9PVRO3%@!Qn<a@LcNxQ$n-smevAt@CGD&zrL8RpzE;uHfrk
z`|nVbvckqLWQQU^?){&ZaqDeP4F4o1syJqDeH2TG8~jZo*-`rFkIMNSIirDq<6nzC
z6Usw{)ZR_el+7PV-9_b(OXJa^8W9nW{SZxj<um={Z^k)6#Xvm`nsU9blHu=tJ$_IK
z0Ii%AD%A%e&0_J|H!~v1hnEX}mIwo|gB8&VI57e;*uSf_=?*P4M;~JWhZ=JfXKO~q
zxt|;6i}c=!rc!(l{?+kc3T>1#;M-b-pXfL#NUcTLJk^ZiI_r$AO#<h*lMG|ggU{}D
zeMDWe*0Y$*Yg-leZi6PIqd3&y!8hbE4n;UIR%`En>4OFlf`WEtzMn7u+YcUFiAm{c
z7-#}#e9HxPdLMzXy|pC943+hIwo|WjHT_es`JB6?SdlL`EyW5Xq|=+fP9DM4;3;Kj
zqb~jCsIx>Gg){{V7kqa--H+)L#!^h@{_|gA447tT-&3cqSrK>#BJ-Wrj#&mY5U~pI
zqTyO0{*iEL|CeZrW%H<{0Jh!6k>_N0Ecx1~*K?iuqw&V_B?;6TAU&)jF2uIMxfnWp
zBz+d~(PN-+erY%2dp-8Ef@1W?8So;i)Hr0`kh+&w9ThtI9{Z%X>|!$|hMsq3=I=u{
zA^DsC25qW}wEN!8u6)$KX|2cBK{2FBoA#202FYbYsS9UM06T`7ZDPHd@Vp?O-e{p#
zRP@P!PoRy<(rpjR2Kf~=ho5uTZPF9bhRZHb-wIx{{@C}eK9U0<53kVLjHrv!{A+o+
zUFeuurbVT-g5Rpy-}du<D62wF2Ri-E!$(bi{g|AEsMci(egbgsntvQUiAs#<tfEpV
za}Bv`+<zn9b<b4-NFv`000j@K2IXR8z10QHHYEw^#!KAA+*o>@DDvw9Q_KJDJyNY|
zG)GZ6JuyfasZ}B(<W4%9(f2dilura_F4UIap}wRT1~$XA#V6Hv?jw3YrqMNib{d;`
zj8Go<-c$CB=tzI-cMeJ&<^;=l$ltcWi0ckeH12S@)jozi8_=@mV(%IZ`j2FzZtxeA
zVnLrTp#FWPD&Rv+vIv~V^tDDc!PAb$T}WkK$f=Q?r$+NN%fzE}<{Z8aHmH8ldAnO_
zH_zDQ3oE(b<n&T;mHi`NV>zCCEP|synr${9+u(5yWQn#7*1M?i68s2dk+**EYQKZ{
z5ruy<y6)E?b9HKgupmRcwXWlWV)t=Kng<Ye88Arme}<V^0oUX{k7SJVcmafBUb9lF
zsioQHd5cU32~d7xdC9w%YgzVMR`YrYd)GF*$IEUfe)|l=kBtnQ<r57A3H8Cs$dKQ@
z&QGAne6M78(bI2{O526|G@t#6#urz)+STS>vQQ$;ZDP=(>KYUp1$xl6^jKZal7d7R
z#gUTk6y?!BGJ+!W_YSVLO$+H-Hkj9aQIjIXY-akgV43)PDsR)KTY0c(BojIRzgYmv
z0S$#+`x>+#%QBs3EyBOMLEL@y&>1In6_RnVn=e3L*Y|w;$D>J(2buCE!@;dsFzGoH
z>$<_8dF8P`d@Z*QuYh>@THnep{2_WFp6cH)(Xy23`x_a(U8O~rAeps8=c|+b@G0kh
zl_x5h9JUMqW0(3*^Tv$72bqO^;4Jl1y(dtWP27_9utw+Wuw=cF&Bh_Z;@yXzp5+lj
zv3%=fJxh9;e(ETI{^a=!X34gkR^H^BiA2-o*I-`!uv1X!cj1o-hdI@J1hHbrI3Nt#
zM(MBb@*5%ykj%nN%)=pp!sKyF)<3+09?~FxZqOS)>sMJ%stx!pM5lU><&SReH1J*R
zFbCP~P5C=ifoIPlCG(QYt+p~5uUIGt=ueE@`(=x~L&_u!9(3LJZZvkUuw+^mpL0<V
zDij1VGrEe<Kv5@cs=ETb(39Lbpc8jmc7$%K=2c9G&6&oI&ggqOZ}GDClT4^<ydM7q
zoH$}agSX7Rt`-q#p(uOcq#_awmz^*pa!UzU0wN+(RNPG?nL(i+U;6R5Z1N{s;G=jF
z!ro@YPG^}L=F>C@1nlo8FA+ZHI(J(%QkftVnRvZ#$C6yblkT~7{>sSW!`VfHNF(Ol
zl|Xt#+CRVbwkVBM@=S*kOj5!+DDwX5l13sXA#2aj8q8XibpiH|>$WLqIKu9~u5aS&
z?bibJCia<rwNX(7^t@kk=&?8(S6=PE&<M-#B!pYj>(n>lyRQVJkZw{24>}@w)_eNU
zmyu--o}!xFn&3{C8udLKIiRucLXG%Bm;G&c#t*lOdOi(s9rA4$ySw&kAHm_MSnkil
z5=K|Buh@k6rYTbQ-!y3=xnJ#@3$QiwOY@}Y7?_eGat98iOq~LitDSAFE&%`9NQJw4
z&lfp09c)Z@e!zv++x#rpSldMploZPlQulhQ+rb7vCZnUVd&YMNRWv`=yVv!WRMaC!
z<Qzu^_brqi$hPDq%AD@)Jhn0STwTSJ4lo(d_H-}%7Mi|e_17f9k?SNHGzKcLaIv%P
z&N*#!FeQn%32#1b99*eQf;C@-Q_c+sN|JSg`31gQL?&V)<$gd0@b{*hd9Y0Eb)!9=
z@Aqj`Oj1kGQ_V{;>En~-7rv*pc}y=H?o{~il=hQ2$*-E@yr`lDhQZ$r3_RsPHgp3>
z?{*YEe<67;nhu{PaC2051j5z=!+At*&|gc6+mnrMz#y@o>F<gfoGL(XIN>iStJo~8
zB#@Jed>D^ldyN3XScHnZ-|u0w?}h5W?V{(8dn$tne%cNqm@hL91Ff1{Ua4aLq~X;l
z!@h92JNFj;LvqM4yAN9npMFBF*`1EtCB&mwwDgHWpCHS|WiM4)hR|pBd<LD(b<=Q9
z!6`DL04pp6>`|V%J=cvC=KfJ2ahNo?tnh2I9CUrkct^*REZQac+?2>;UOnpFeu#Ky
z8W}Nx-6k<-;p>0&rXf~hR=VH)?UW0vT`s(24<@5?O4q#x9#KA~o&T67F4xB_NSQrX
z6e|?Cd=lQ{gClP(uxw{{@_aC8T^m~xPW8?ufE*+yFWb%3w^L0MP0Q`n77>yhIjHn_
zv@Pxx-7V6AT7~O<qvqz#ih<9VL9F7OdwT{2$IQsE!V)NM^P8RiW};5M8*CB0ZA1*1
znLoW9YHYhTFh13s<2<$!avU?O6Pk6conuPFBAkTq=KF%dRO9WGa))ofSTenP$NzL)
z1HfXYligIB5u=_`cJb5~ezkwz&IU`g>G-7kwi?G(ke_WJKgU{lE@+9N;9orw+}O9e
z6;1oNyDr#TR=iHlXP)e;OUr!i9q6hq$E8SLO(C9MIl%hzC0)F=*^@42W}L|1k;rfU
z@UcpGKA}*NGJYfYLV5gZbuDUwmSM3~A5qnF17QtYyK@yfwT7kR5`2G|UR4o&Y$^|%
z^oI##P)U8xdB8BB9gY6t!{pwsyl{&Z%CK*~aKgi~?^(<E<jM93EV^7!NI~v(VFpZD
zX$cpKU{vV)^k^&K(fTE_3P!EMt1TQjE1=23uX#w*Rx=2*tUA4rAouGJXr7m<|0_rb
zWvqlb-UaPdu|4b!^J?kcHUTy~4~S_02-0$cv4W>R0l!)qaMYC+42RaQT&G<!H^NZz
z85}gyP%N7j7pJ3*{lmkudT+av50pAjzKLA9DyNXWK=0-avRyc8X%)2@hkia}!pA5_
zcWK%Epr855VJTwHTrO~%H)-42{Uh#`)4xB(sB{znJ}b*tLPw$XlGuCe#8az}fDCN8
zKD}py;?K1&Mn8UiNkvpV(nJ`(Q}BnZ@$NMrV{?BS{vH9ZE~x2N+}5k5`(>xE$9?pw
z0(Or$DXmO?1_|*^KKTIBQRF7uP9RA|bvX6562@=Bh*QNos@4HC)MY16;6nF0xjBZo
zS*L$6j!XFK<xX0m>c-PA5a&oM8E_xu-d_psbtSO90XwHWNm4@a(dPvu?KH+D6}v!`
zY#DE?5B$VoiK7DUmu<~WX$k|2!FEQK4+424qtn9ud9?wt5vfRR06)8wuEW#C*@b}l
zK0zJgfI!IAY5!VHN}ban2r*zpZlxD%FY>5g2-0?%U!V!H76-$g+9@eR#NyW=zy>Xs
z{>QS>i$E5~=3X9HTZ~|>BS*w+<>a7>P*N6`fVX`}>~A;sP;S<5y@G+K1z6wfBAd@F
zG)a|j00mldG+sUGxdBmyfA}s}J4c}{@t<f#4&j4ApgB-`*6NgW<Odqy-NXhdJ@QPO
zh2V^KU}yciBr}TsoXT=Nv75M`ajmUs9FPgkqsxW=?3&#3mM?<Wt)QA7A6oVYYWxYT
z6Zj4EV#P4rO(CS^Bix5wxVA22oY36&KN1SWx7YRepE6dAgTWS~D)WBXn0=Rk<@o8h
z73P{-o3gu6C}OzW9n@2O8KkAmh-sVlYnHd9_G;$Un58u*UkfIpKpWm!z3B-%5E>-U
z|5@A}QoV3Gjb2_ECh_mn1THKOm}epJ+upz7X170-9Od1;8V@6D$#1$rJ$^(A{i@RW
zY9R9E6<xhtHXw@tnz>oWl>AiJIF4ZTq9Vj4J2xuYj-;5>?r=YOX<aUTVlyS^#xBaI
zc3_E(Nj5WE&><i@I1T^Emjj8X2{@BhRr^ah3$c|YU?|}q(Rz$uQ{=e8P}8{GEfteH
z&1Y}XfhfbS@FIO9QbNLgYtRa7oqlxNTLEM#_EBLMQNt-ZoKED?q1jlR6FGjIV(Ys&
z<nTjmGeL3*AG<E3zx#T3{{_`Dw4MfrgJ_SDpu>v%UZEa*c`nvIiVUiG7**?3Vc!Kv
zH&*Vl@OQRbba$l9wFNRF&E8D;15Wy_jz^`Rx2?&9eKwfw0^KFh9OhG0c&~1+-p@G(
zGdqY2&TKmy59`;Yesv*yq?Dk6wM3@Xzd}&&vs1vT$X1IBuG|KrS0r|EH7BGNJJEw&
z+xJv+TJa+6>*Q6@{!f8jX-6m;DVbH2P~Q_lHXHTau$@ZvD8O}CYp1BeWiJR^0@W8z
z;-lCLzaG?&5FMMri?yAk(xVe?_y90-t8l-=*t!|0o<EKUQ)XVw-ctV84$W%h6jGv0
z7{Kt!B?U&8lJf1+A}Z^L&5XkP;Ir~6mmR28E2#o)lE915urg|I4S`6e0+}`KxIQ($
zeB+l|Xqx(K@A|YxvFnpExr<3FVxvtECm2}D>^uHUM%;j~KSh>sC!lq{j+3fBLAKmB
z(-e$zbfpbO`?}IuAFv7fgoq#<rEbhk3(85Ejdh3d)?a>_{}DIi8Z=*w3V_Rrp`LQw
zgdA4WLdP}%(8PU|-dLT<(!so<L@I&F%qJgc&38APyayqYXA7aGaLJ2c=*=K%)RZIq
zS?YLG67<bZVM6v~XfrQ&ugbRNrnIOCI3!CAQfuU>9C;~t0CAt$nM=9fmvU4APYcbu
z-X<ihov0y?b#o@wyRQv?Hj{575?`x4g;7^8zuwlAst^d*H%5W{S}@R|Bg5(P#l3a!
zl<lS!A^&+G^W<Z11uTX+P7p0CN)nox_@E%3GP}K9uDb0Zo3+X0{GfBqr-{Wt$fCej
zHRg)hT%UNL_pTAB(+=RJg*#11OiwqKw=RJXKDe{!tIyZ;D%8bjd}s<JFjCQeFW1o*
zxoT<c!Rpk)%~5B6Ve@#!NTc4v!7$oAGSPtqH;$Nv0*u!tRdW<6-i?hX2tHH;qg`NR
z@812(fb_4mIH~`^`HJ~c#du=>15G)B3#g_eya0-fzf%^N{gf>oHQEeC&Q!b%QXh(k
z8A%f6$Qnn1G>d4cP3>F#WIRUqCFW9n<dbPjn^uNWH;x=FAjB5f&2J=VZaqVO+M=Fn
z+?<s8{0KLg1=N@et~cgoD4*5J8T89ZMWuC$@LsLw(FIRf@EvN4o!Cr#@ZqToP(<)<
zKF23Pa6P!bAVJ#v!IOCss6xhhdxliqyD5rvLKXDElGA4hAL~2SGfhN<!Z4rI@Ni)I
zR&eMjwDpJ>XQpzoc4<B83$1i_*$zaRC`N-N9etj>PoxMR-pEpiaF1oVx?Rq9Bpqo(
ze~Yf_ITgF=EAkYf>>i4Vy<Kz`NFIwRQOb{7x+zNP_1V>^b2yk~*$qf(T`$-C&5S<<
z&Dbe4NW*-*r@*Y6X<7^&{d=G!s~l`86r!B?>cbJMCj~t|$mYwzTiw2FtcHaH<M#_k
zgPYLK9z%eB&G{aGZ9vPy1uvGR<dPNY5Bj%?zh6Jk;+>xmn#4B>bHc<MDly%my9CJ@
z&5uR}d3*q+NU`GOQ_ZS!Eq$DSN;#-wthQXOL}LSaL=*6&y~j12S-_oO<nJ+|F_*8d
z!`;62>lOn>zHd40e_;Yy7NkV+`K+`@1vzXi@sXjVo@fgYR<wv|s#ctf6m175lE91v
z_^ZqhK9&14WFXX=v64e)zu!k>;4MyPmhHjo>U(N;OQPawV)BFvT>>Cz-%6OHxS)a-
zOfTDv6=aF30fPNfBoxd{-<xx6Y<v~tmJq+UB6Df|%5)jd4$D3uzwb?VHRwVdGO5HZ
z#^Pq+NgHggr>Q^3C1^}Y1`-4(GZlr67DbXOp{7+rSf^dh6O`cO!#&RSQAm?|Z$d;~
zHI>|2<5p=BA6M+f+%5mzpi9e4K#2N%Z!N30;p>O=mu&QIbd<APHZjr0**SsjghP^n
zG~zjf${C&jV~18N@cRmvll{!Mq1PuTLTSNB73Om^eXyUt!)?|(RKEmmxZfpSCj&ug
zRUO=5GcjfA5Q57CPb#3j=B*`n3l6Lzzr;9p<mTvL#KHU)9cYbBwt)3?1?Zvz`W;)+
zy|^xeuEFM1cAARoa=SnUnWC)6jy0V8ZPbL%U(8B0nn#N-CaYpD$wZRkb;acv0Ze2o
zdIKS9olkh<w>J?iloi@v^?v>k6o6OPA~0t3P|En4t2XHQN8v_bkVD@V?4`@SIhTWi
zBz-M65iq1B^S&u9t)g)izG#ThO!yD!X3|Gqd0m^wiooV#`>cJ`F_jcYr5g6;W!Ko3
zEu}P5b5QmNhA%MNiV_^i?^=a8b{=RT26%(>5e{YhN{AaEdVWvWYVgHq4|ynMDcq2P
zEX#%l)xSS%i#n^S@@lnpPfAg}u1;mhK(uTN>l-(yG{Fo5Ey{29hVmUj0bY1}2WgXO
z2>1U@2-9lT$mRWS8sKZp)wU+a=(*KtX${c8xIa=V=6)?TKn`B!da}@U<)|}nyl7St
z>md!9i1Prt#i5N_7$<IE`>w<(tg!=XkY9rM(AS5z^6eDNSoi*8z|=c$qeOvZ0_vW*
z4aZF+xAik4j4}Md*ufXtOB1|NF0yQCsFcw7ecBgR<Xe-1$qyHFq!1&Vzt~e~aO$SJ
znl+r)z}eIYnY~Z{{o4V5wavfyD_%k5V)Tm|jNP8Z5iipw`0&g=ATQ0*gJER&fcesh
zGM4*`p}`6EGRahZe^^NROUxyk%BnwZ6^sR@8~5-VYSnKty3d34aAixzZ1@Y?TiqYb
zkL0A#+Gz9z<*MMTpF|rUYXF6&qFG2VL03BB21$dPHV5^Evia>J{?R%GLF&5jH*f6r
zR<(l%k*AQciDFj^KU`u+CxKKHIs2&V8v{n&y8+Zh-h3H4Ex*U8D)<w|+!1Ld$a-MG
z;BJ8SKlItNLje6D#ZD=+Q|}0BAd;LSBQl!bDG!w%?#5EUVzj{V-USb)m>W-NJEg{K
zxRrh2n~J~RbE=wr7(54g7^SJAHk=$npynS1X}Aj$ltpQ8Yqx)m9?VoDC?rtzUtKWF
z!eHQGz$Ku+U}Cdes<a~p7#&FSolW(dll3|6r|m#c^$1*aW-B~ZaeUNi66!ijclBqA
z@#yhG-W3T3NWNhHcm5K1Pl}JYW~VVtKWVv?!YbM;DtLj;X(^Z}j~5H2M^sCzuf9Y(
zO3F;<X2vyT65Nq3L%RC(yF%U=S}t!^x&e7W`C<O|Q9A+|T%{^JD*=a2%AM`~o1LOt
zeP$OEtr;+*Dqa~B<for&Gmru#9)gGqaJxv_O(Q~}WwqVC$D^(J2AkK2{NBP9GE1)v
zJWK}`c!m^D5U{zn{_p8bY4HhQGB?YQMa8|y)`mX6gs&}X7U7q}pUlE1K%i}MhJIBf
zI~UE=Pp`fbw#rVv=^<P<=+^&{zTW=^l3VHt{$`3#j}d2s63oXvB~ZZZ!HesZnHmYh
zmB%JI*TMgG3vs#yr{Z&}OEkuL`jX(jqwnd>=NgkeGwq_!09bb5x*6r{Q!v*T=#ZE4
zT=_)GuUU4NcqURlGquvEtgJN7RE}WOvyJ3YaqrF#B%2*GonGB9J^Q2LzCE?Uwhvkd
z_CZQiy;FsuAknm$<sMA&Dm=uY%<-5klLvk8iA{&`T^qHz)_|`7Epb!Mrp6NVoQuZ?
z45j(1cp<-pSi|m`3!dZ^IPvrjHpcvm$9-dOZGGMi7g)cl3D7_rQK<2jieNP`M|E2f
z=X@4`Xhm1SMt9yFdQ+(IBo}w+hSBckHEDVXgAE9m?$_ukq%wa55$ay@8^74D1a_aF
zc6$pKsEVfBBTU#nP@ed^OF1TAi=6jK0wJU^<;#h6P06kY)3UkbXf&okFLbb&P=L1r
z%Z*%&zf`0C`bH)dlc?wkcGi#h?pJ{B$x#C&_?jzRV5Cx>hFnGYQ*mdI2DtrWk@g5w
z)XzB}s>{LTDi}u}78cs(b!Be^HXnzyS@1)B_(d5AQ_8&u`I*adHQlV|rnDlw|JJH3
z;$-nZ&)T4EA5VdF`BaAfTYr$!dOwvM=d1%(HO$PUUv}`Ueb2oYwRx@0OLJ@XW<Qt*
z*G>E~OEPfWJ?Wz#O=U%3IM=B$drPlDj7$Y{#r#^O%+GxTPnsQoAcM#SgaJLxCy+`=
zfFHgmA+AWx6I%Isn-=f(ux>64EGRauwWa$JM>at5l2W;a<9CJaWD0V#{xHa_s$3i8
zptDrx3^kBdZ_hFIgCb=iurgCzYVq~IQ}2+LB$^m7@EVa}7l_|s6q#>xxZdV}-B^SM
z{(ruqeoAR3bcBr6N*=?TK5~D;2}CsyONK5M7!%AX8)YbgLy=>DeiF=IP*WBd!<57=
zeJY~)HtBV4$$-IHFRwr9Z|`^eHZu@2F#^UFvOhlqG_z$8bj>Qozak8{#@g^=;Spf2
zSueqebKdE@<Xc%KY^`j}($jFd@Vrd~WwcGq5-zYhbTwxj5s(nsDWdxNAbi3hd(<bH
z;vaORA<L+&oH`Adg~bO@ZlZmyP{eb?h6#yq;Hp0twkotOG$b}Fi5(=-uU6BS))3OQ
z{tskQPRE$Ex6yp94S3`HSX{H)*bgZopBQxIHA*Y!G$;O@(GwpUGu0$*s~|OFIABvS
zCZFepL>1L}f`x}F$rom_gqjLUw^UCPsJ>da|8mmMe4O-o6t+F<!9uA-O*y+(`*ORY
zPS<uX;I&mSbfhI<)#joWMGmG@vO5%jrLz7SOhJ~6bgv{{3HqkOrh*CpngHuV$=b)o
z`o-fQPQBUxllz#9v7$XT1eEnrGj(R`U;Q8qaVRtGvX%Clo#}4$$a);S2L?6S<*~bf
z8NTrga(USX)CIrveH!dlctnf(6up;v{K*!uwlf*QLwR2_iw5@AfI~F;SyN<vQHSTN
zh~JRO(uxs01opsWXlIh0$~sBMWOyUF+qhi6kW{m3gKF0AJ(ZR9Krez&z(TLwbP238
z_?gZ}=fVKGqxYIc<$Q&;hMClGJ6qngHk_*uya@0;BhuBUJY~WQ48LMsW?6U=Qkoni
zxm5j#XkNdc5guAY<xXX5gEG&ZbNv9`tv#eE&if%)8VW3kfA3noyWAcnQd47<NQj5=
z1$?+T%o#*LCQX7CD}wQQ1fLzaav@^MWxe$m6@>8%))L~-u>2l+TR&mEeL6tG>^<|B
zWYU2Qt(C(}Y0m+`)Qx=h`QTY2I*nUcCahaiw*HE=V1n4d`r_#zipT|vTXh^Ba0HcI
z+rtH+SmFdAaw~P_lZ2{DDl3~poZ3O<g}XkTj37c<#%doG)e0r#)z$>%1NAun8OfM4
zh|&=0;V(@KwA?{n6yR>(%Zm|2dhI?X)!JJ(B%ss6k5qq?$G}60HueCOQ@vkHf0-jD
z$rndu?T)B%`gjmotpbggyffMgpKfMU;StIsNsu&eB~m|r<rni$*b+&KuZ?e}faSuR
z(4XRee<4LGEwBk>IMZIr82MxN6VQo>fzR<q`Y0gH{o}r23;E~d=yy$w1Iy%2O+#Yb
z`qM(w$#l9?mq20_p47sQpD`_Zso^3juMf<ky%oTI6)+PI%xNV*mR5J914yFb^<eSf
z%anZ@X#b%smtcnTUSX@jg;z~O;c;C|qc%ag;DUSjaBU2MzBf&#xn(uI?I`{o2@bF<
z{=Jb6E4WqX?E}nl!t0R|sf;2ICGv`hUM3?<OJJ9!81j0H*#;Y!S1+)Y;|`k51q1w`
z%rRi5<$Xm2R(K01gX>Yb{r@4)#vZi+^ooeW2ktbWvqw0+*pDn)pb2vW0K}}C*9GaY
z$v)>ZoCh6PKvQ&tjXS0<75sS>Esx$X{OZrNHzzz045CvATwx<(!Ys4rCFmrV0g{HD
z<q(0z)0oSUbk;UJ0v<`l!TKr67G~sWxJCTYUY<K>C}&n0JdgPP|4}L=(LgM&b}<vQ
zkhjv?q<F(lDSv2!BV9b@Rz0^EnU+NmI0J0D-05^XDi2opnHGF6n-bB-)vz}b?~Kj1
zpQc%IykP6k1X=-Cac9ngW=MWKbo4}GE1oXLAao{w)aWOphs(mBrx$8P4`2KPv04r!
z$1qodR`_jN)~h`AQ<DFykx`F2w`_9sdW)wqTusp&2gRnCzuExr5%(8-zkLNF$)4D3
zPaSGy2mFURGu$dVF%A$a+`xTVfpW`+!_OC&`!HO~Jn9E(J-p;4L~oM|y=wHXx2^q0
zIa|D~+^7m>Fv6+0SUjPDajos!w0A>q(|YvQF<=1P#)0dk>;iQ~K0+z1e!xD&ri*V7
zxxAvvfWCpN7+U0|BY)z+U_YwIhn($VHNxW>v?2-e?$BUF{qGHL7E1D2V6mdOQE0?h
zg9O(sh%+@3535-0C~jq3W*O7$qq3Tl6m*bfA#vP|mYQ^XdSx{Zwxq5BA}hv$CkC)F
z-DeQF1~3Abfg&fig;EYMHXj#^Td0}PA;H!bz6`h#vcS)Litjzbpd-Oa^2(bN1#~|z
zwYjw8Quc=x0rOFgldkeJL`7$T$Z8vk#W7J@-LdW49ei1(b8ZQ3G7SZtDEOv=yBsfA
z=_**j7_(D9gp-U;(x;lz3r-(y;$TbKrV(VoWY{g7M57<Ui|kd&l+Ja)Qz<e1kQ}6(
z8p<YeD=G7n@H2K+dd?-9Tee3DO)yrL7NF*Q&VXrlgmgWav)j6Z>}T*%XWa0#QJ*{g
z>vXZGL{f&G<Xa$*Kf8pr-i`)0y9a-xfx`wk9m#6B`erP+{1?7U$w$2ZhIpCIfJ>f=
z2B427V={L|y|sH#hHD<X==UuvZ{{D+^|oWv=)gN>bduJzSV++RnJfEk$>U#YuR}&B
z0&bh>8Um&<pcoFYOwd}^aGY6ya`Vh_Nct;qT@&#E#z&&pVdxP<53w2=fDfl;DHzoD
z^A5dn&mV{<4&u&yJ`o^mSyeg^Cjrkjx4se$>ux1ZJRr&RKTIEdT)Br6C>1+x0GQuW
zQvBs(eKT-%?4gc4nTIqGl^iP*l!ey(Gd$dWfe)-K2SUTuVt{FqXyP9nUg*Sxv}c0*
z(+;5WE7pPEt?<IN!di+5CnN)Q{6bvx>AK(^?}TN{V}J6W9Z;Q&L5#cOw$pG$Cy0<P
z@&lK($-f>UkuRapcT`q)?3!=DfVyF&r7uRBxuz3uQ)&|(_!Be&kx1Id#Y+t`<Q2^;
z&T_^p?oUQn1!X%GzbWr0{MlgJc}__t_9=4ZaFa~Xr?NA8JOv~FXwiZu^Y|~SMQg=a
zd5A>r)zj|)@oxLT9{j&q0Fg@2Cw_K9bxA;ccQ!fxup%11Ik$N_VG4q7Bg?T3l*Ld%
z#v`he<ttC=?$DBlb`~YzxN^=#kRsA-JkW|kN0ibqC$~=%3=GpsQ0h}aWv+FecO+cd
z_y21h;wp(HAV)aUA9hvHl3|e&T!B79W+&<$c6V5>=8y4T$Rk>8e!oeUt+?cAO46H;
z<U_dQb!LUTlF;nUTSON5E6)5uhf~JswEjp^_g~X4$FPLl#rTIGg1I1)l7U%2!Q3Df
z9;<a)y&KsJcYs>kIHAcaFgM-kE-jbkEmJ^uSJ|oF!TL5Wa?MclxX9MLm5ti$i_e6e
zLg<?-_7?35tilnW7^tkVO!Jhp4>FW66CB@b7%(=uBVKq?C?Dt{H4}{vKh};@>D>;3
zGV>8MkLPDuv3se7-^+fNT6wZ`S@X6{hmeXw_vIKc-$g+G32kRDG;MPMvS|STD>L8c
z>9g7QS1wA0Y$>U`um+hZa!tnIK|Os*E<GMxq2+MsBN+tu&X9M<2ea>nGt*84<_E7K
zFOqaYm5<oWi)h&mY+DR3P%SC|tf;vv&2xBzWQZIpd&0*E`rC~5|KEiqZyx5pzXfj4
zuXCZ|;XX94h{U$23Ln27zYWyP1K*?!AfBrgc@rU8U&<LSo;%=wrod!>O3o>lYy537
z9J6XR@h17E1;JGG8ER`12QO))<ix&DpoJJJZd>6zN1A&zB|k!wR~#GgqEZTGi$`y-
zNawN9!Xe9*rE8Mc6{wb1%ZhplkIz~;)RXyWW*yD^{&AEmy9c=)E@H&U4O2bcZ*hBT
zAn?R@Zp6`fzZRKw(qh50Kg3yndO-Pr&&hivd4`q@Nxqh=TWZ_#;FDqxsbNX_@q7p4
zza~hqjf#Xf?el4uDGx=_(-hjr)4ahfSh8QURKZCHf49nr$Y#T?-Vgc^%?o|hnOe59
zgmcIp{nqVW$XtB?A?+_7j*@iBc+U$ly%3Ie`glIv8T4O4WMLICUSu!~60!FFW!##U
zz!|J}pseurOFDlhHkC5(&C3E(2%b+~n(Inl`t;SA@3|UWerR1Rng1k`IFtP~omE#9
zr<GwwA9+bKe46Cvcj#w7Y^FP+G@1KL>-&b!>NrA;wbCaBtxX<CGykPep8>98Rp*pP
zn7jNVz-agUO7EwhmR#D8p8Ypi`e}_wWTBMDDgj}XLaU|4MQI6%EPBZQ_`R3TIm?uT
z6@qK<xOc6UNv#>%ILko2(d~3r;*PXJw%J(f%ql8NOyYmT$kmtX3M9zfhN{6wH~PBY
z2Y<afG@1?mbVF}fAnVN!5|zA%IO!%1cfJA{_nm6ua>?reV=Pz*w|qLPe!K>W^r5V=
z?8oBBC{O;G-iXp%iBr4Yy%8?5S+-eyVr<gQ`%;?srL3h}j_1oYr{d6QkD^X2p#)F6
zp+vhRC_ng`Zy9NJc7WII+4<)*I22udQ=8s5sS<`8H{m<Xh^?JO28h|O&_Jl`XTilX
znDh3I`L<6!<k0A_mc_u$XU9iBLs_y#E;an;o+6{1`%`KqU++)>`n)k^FY{xku65v;
z{^${lq0JQ^zAk$*D@ms)Vo~UC$$#LxrE)&hKNF#NWp_6u$&D8pHGJzNc79{qnAl>#
zTe(rl$pBRsAuOA7nG3ss{)w=WT>G=JqRf4&2HuX1Y_|S9=*iAFpHrMb7PLhc_9=Wn
z|L@i_rZW|k?NA#znH4mOkUlxvF`&W}aJ$c0C`hD|W2-nf2|GNW-#R_MOoi!M@>L*V
zQw4uK@5XRq`%TLF%k0rsINBUlGwNRW;7kM=ImO}qx2jyMDSzIkW#FN7Zyr$vLgsc;
zx1T`sX~KK%9kOcTlOgfGU2kvlZ;}w!DU8laQqHH+;%A`$wk9}KLG3iB;P?)y=c`M{
z<=-vnJ&3@oR*NGS9P{&B;%?<VRZV;Hvd50>=9b*~(VrI)4``qk>tEC@9L@RIs0E4h
z<EYL+DhwpJsr9LSE$<*(nDkD$e`g`OTwDLfD|T<z3UX^-DskG`%fl7KSA3eSl3)&b
zrApx4@079*W;#48C8<qd@}d8pR;@$<<(mBXE#1W8%8T{2RQ7@E>!G~Dh2ITIL5a&_
z#y1Ylwu4J^BD&akI?1G(u>R-mBybZxr|JyBr&x9<;BIT&o4F5&t!KV1yKRqw)$cR_
zms;NP=SDhDbJeyh?$XO*v*q%@j*^T)w@m939F<!as`AG~TLQ<HUIg`tYy~9-1a3Eg
zZG{2^;-tE%-6{MI@Z^`1Lggy=>!r>u-+-um_3_TImC|SD?7t@E-z@02MlgY%+nV4c
zjPCr}TvYyaoa!S~m~YSGBi%=Zk=LOlLw2$syymQPI?%-=WLoJ~$s8PmgD7}+kIwzi
z`OR4^<n9(|h9Jok@g7YqXNUEuCH7MW=_ag;lIYe@8#VMndK1Ko_FE_HOPxLcs7}Sk
zFlgj{7IsZ7gk|C2EVP9=7QS)+^mf-ZDA9caZqGI+DYLg3I&M>z@0MbTO9*_BVyQgK
z{<4A;*~!L4Q99Tb)g$ls>BqV`DxP209OFp#kkLOU@z<YtyCYRD9+{Kgu%Y9<oN*W*
zszw#O7*ivc*LJ$jJEzCli)U5aKQ&TObbL-ZNrJ$*fE30WIIhfLF4lB8?}<WvN7cyd
zEJO#gswl#K)+DiX)e$~Si*|sGx_|dfM8+8^8TzdYip8n&wz0l)pYRrc^`<3!>M0`$
zQZmN>DMdMms-E30ya@Nfk2$i3k`zyMLVxkxH@~!ns5-H<ABG<1##j}>m7~u6b@4%m
z_due-J*hDUc4V^~|BI@gin!jL=k_<Zp0NcvY*+NZdI(8-+Fd`fs#cD!`wzEb%Y|u@
zQYLy_c~7U^Fc_4qy`f*k<qvj=ML{?4$orN|{tp|Y%B5&~L@v^~LyVvO1m2~2Jw}cS
z<#2|C|GrrYN&-yrdY|0d6x>sr6dIcsyS3E~zB3iI807Eo@4DRpq`jMvLRUkoWiEX5
zsAKPw%iWHd^S1j#)I;m%CNs=<YG_1TNZfU){d)Oo8qeJOFWk7wsf?CNpI-~=v`Fa*
z?wZ%UvuA65OB(grA_e>@rZ~l;Aibeol+-e8wZ<ol4$_lYeWP}#iP4p}prwEMpBPJ{
zH_?cpc*Hp4F!Ci8dC3N<mD-wX9l=sQ*wIAVcWcY*SQM@Wb8^78F+l0x3z8O<?_7^y
zNwPLoAep%bt*&0>yz2C9fW5nGhsfnGp7?Rny^!&B_dlg*CGg+(hHs@my{L%_30Jf4
zrbHI!HQd>qGgH`%c?&0gs7LXemdw4C$DI#5?-OV5UsZjt<PuaeGTTsUB`*X&YneSe
zKK-;-7#hy(ldyyzk|l-o_<$*4n;pu+^4IkRm(&YRexeZ*kdQVnjyniU&Byc24MN1a
zzH2#as15C*v8zUZ-inY`aPzN>8OxjxDxI&r?I{eiXZB&b;zO}wnn42f#<UZcA6)Ty
zA&x&=emL}AilYLTa+G=rsebeCmfyKQsMrDTMq*p3ucl1PgOGab)PN@EF2=z9)KVVQ
zb9o7D5o3p!^WOb`M16NWmH+$yZI{(RG8;A_nW3UIj+N|rr0kijW0a%wwi3!7k<4V4
z6%LM&BzuMEsF0OS2*2y@^L;#i|GnQH-S@fA>vdhv>-l_M*XusL*7Yt)M|$uP=P_kC
z+P8a1|JcJn7p5;rF$r^=__?S{rYXf5eXywLo1Y@RnElmw?en_6#VS3qtn=kFnf7m!
zN9hq|0Wr^I*EuD4X`BQd+oW36Vf=?Lhv<sh>UjXy5|<m(m4D`l;n(kL*HkBaEm!tm
z+-ir_shMKKJy@Cj?(UCnQRiLOalfUuG@O{KjqeF=!QoJf{?Tjl1|{)4)!3n)O@F%w
zyvC_nq2bx`*~1-!m}p8#{JIhfK)78OV!Xa3Jd<8KJ<*KOn*#5_;q_kCDJqHfc~{*J
z{oWyg{4@oZ!?DyEzcoj=Y%GZ4UNvsb=FCqW_D4NZzB!L^RN9!k&>U`D?}+Mc!C&vQ
zTspn>J;jJDyZ`CCdjy3Oa!(@bUU!NwJyGF>n7^d@EN1nu1#>LINxsc36R+8lAsg2$
z)AdaNI=}o5-#uMoyq1~!XZG^oTfT*FIZZWa-D~?Ik`cb;R|Y<KjV@JZ>xz|x62zT-
zSY71F(4lZ{Y#c%4grB1AP1?g<6WYi7ZU?fs2@DJtQZDv{UcvYXIDEwnsN3^U;#ZG*
zJ))H4Au34fb&EG!9aWK@XEePZp_e$csGff1z;`i5<GbihIy$h2S$^!dD-SYF_ZL#S
z4K-wM1$T=VzeGsYOif|5ia2-I1e=@pd018S0J&n>yS>-OL%X0NX6(H16sQx$)EQ=4
zDfzy?gdhcd4#~yN))vIknwlLtsUbas4$&oT@vd(RtCta^Q_L$D>;J~<%gd<f)QV{G
z_wm0OS-zUOB?~g-vj;O&H=2x7ST<`RByVj0l`p}l14Y#oyomq9Tt!Ht?F)>oikWr%
z()hK$1~+m#kR6fW4|Di6`=WTh)to`pI&aqiBaRv2C_k@BX&+a2`S&|O%y&eaWk!D}
zE5bo$RzXG^^35D+mSyzB+(Lqnhe{CK;|}WwnO{fF6LE@t4!m7w?;N7-KC?4%SWKFp
z7}l-@`?q0@2%NPSvf};2RJZ!0q}BW;o9rvnoEFwH-qz?ztHo(fgnati#O8GWEpkiW
zvL6&m=?t?2DrIY<;UQ^T47w$W>vb<8zZV~f1WNWh>Psv|+?7+gs(U3_;@O!gdgR^T
zHxKc<V0yD((6VeJ$h6e#e>}u=O3Cyn26`d@fJ`@byk%}}#;x9W&@L$c{5DPl`W59p
z8UxxXdPfl**D7zntwXl|;-LSzo5y|_RAb{um(>XHKzg`ULKG33ko|Bp|C?)P$qA%X
z2dKnm5hPGn#l`&(-=F=qKy1#<<N}AUx@tKX=zmXs%I|gVd7(39iR{s45PPIxw$q%}
zthi<C)R}fu2%97Ze26G;mX8xxxwU<jo1S_|;g3qq40?CBq-yUw5nJ?cdO(`l&|twh
zBDF9n=0A!{ZL()jjkjKA97VrU|3-#DmBNGM`j-FhsZBgEB#&`<-6^I<>dE&axW^+L
zwS$Z<M%y1hdz%T7_%vMjQOW1ZX4IB$%kXDAy?Zkt^Yp{Z0zPIB6_0O8RoyPN9nUtQ
zEAe<9K@r#W8_<<^dc%e1K`EEV1%uuvl#9!6VuvGQ`W=$}99FUeDUo|2Cqv~22GX3Q
zh8~HQ5=rgioCs5;5`8^YnoubF-1^{6R}B1U3eRMCRyemxbyBvOnTaMrPiVIQ;5E*c
z6}NA-sH1BcBe&xc{(upY$a&f{H)d5Hobh)&usddk4KrJLlxc)$P19{2EVhhofDE<I
zmihb*En@d;DtMY@aD2HFBC=VexkrD;E)MA+<hLPd88__G#d2}P{Rb<Lh>E?1W?_ki
zNJ^oxewo|F4FXB@kHgajjUaZF^A=;jgtd-Ms_#$x?W<mzeI%O6L4z$xJQmH0qad$5
z3Zrd%LMh4HHRBY~ns&<nEZ&yOhsDcml`jci*yDF2o@wrGLd&ChfNUMzaA}KgpIwP-
zYjd%eBC6A0+g}SB3eX`7>>NTQoccw~%Np36cwRjUAdScksZz+K(VQn@dA#-);@>e`
zzWY^4dvd*oze2C?U8{x>GU?@1z_s@$u+{W>ybOFb@i6-g5(APb%P5W03hg=eh`uy~
zka*!Z;vK5Wyy*EUL$(lpqbrerJ=;Y8KsW~ZH2=X?em{L>uf#Lp>yzzCf&TqV-91fe
zxzhsqL-)7hg%MIP(@6O9jw<t;LF~~|J6GprF^&R;+?{j?Q@qzwX8_-zV)xlS{u8CB
zD2th^e7?~du_!t^wC_)1=n;AqSW&j_=5wscLJ%Y|NjC{YP|lqQ84o0}pQ-=#!h7)s
zC#H<T$&-PC#2#V>Qg80a&&A(IlBqK&fv3A}TSC$2oV6r->7h|gPko-K-LN(9_qie?
z`){GYQA{N*kqSXDv)K~Fo+TnsZG|bn?!)6N%;Qr2=kP1F)ng2S{Gpo%;TG{&b7fGZ
zNW1hrEn!gmD;hh^=8y$1%?=>vR5b~072{#m$7D!==?-$ZfG?N<CxM&WLdeM)AbF7i
zC&9^`&Qbz^^=1-Y+Rh+p&`Ba^G)~<d___dz?Ys5Ag+Aupl!z5d=f)NqI+i#++_)4^
z!Gz=({`&5fo)jW2lR<Ja2})$dBF5>!USb;9Tuup>4e_@nyGPI>lzAcMfFF+MUraBa
zyUnB${B>mh=Ox@u0ZvS$!H*pm%`3R#r<$Tgo~xYQZKc6`afa{^vFJA6_uFZV%65tY
zF{#eYH;CM}vU@s35Q?OfG(7Y98_&vnHWjb=$kEws6Y<69k41q*KO<$ceLoFdBNWsV
zT#kD$rSN<(rBna(U~l&OGbpP%ae@*=3!L8d6Z24Z96Q&vFy~^ug`p*I*e-X@m)%W6
zeNTDH?^EG84OV_`Jl=Nf3WA@UsY-h;z8xKAPjbK{G}LMV+Sg|s?(25!Yl#^6^P3<R
z<9eekH%}(t=OCi8`}HgReO%qMrk&$n``%rvKK_tQx09bI)22CdRTulW2K1aJmobmK
zpnK0g&)8&@(<lGEh<e@oGAIG{+WO&JgGN8sa-*W>u<gXBe*4##8I7s%2K0A0kMhi0
zMpqw;i?rb(no%*wA@@dpm$K~Lpp!Ig66^Yw19rkA#r(cTT)my&!t9C7df$ypJ(}wh
zOP^SJ5JXI7{=c#7AaH+o98!$9fa}&iexDw(yyNtg_SSX33sa^#cJM(u59BLrCZYp5
zoOo;uf3PIVJ0vuYs%sJqSN`jwLOPxLnd;40=!r?Au9qZ5;z4^N(Xk4Bw!BszSKW4(
z96zsTgrKfX!>JD19Vr~Qiow`dMtb74pw0IFD$>qibny*Njn&^4{_m&Z1$A=sv^>Od
z=DS5yHXbpPDEGs+jvj2_>*#5TnB1Noo0hr6vdC=a3qK;P|2aExs^cow@<+}u_JJx=
zsxfa@_m6uAk%F_c|5fq*BDXvr5{qaRM_2XkLewK}tR16i(|xUQJ4A;?aO^-WF3n$h
z{LZKRdKzr?H2Y1o8aXmD&|t3zu}cS2O46w#xaVnidKTv13<jl~d*HPE5&TmFP|E_j
z6AZIv<aN-B8xScZQN|G~YGxi{QkhB6(0K;};1I7<*^5t;LsQ}Qr2D?GIp~(_e~pif
zigE5Mztq=rrTz=$y7*E`J0ItPSUP<CJ?)9Z?Wtu}y!PcjfkdI<dVZG;(~19Z2uY+&
z)oIvd@^SqRSsm8$+V8;Lcz83|x@kDAOGp&etIGc5Vpr>)YkU<Cw-%D-L{d3VG~4kI
zJF{;k{yv2m$Dho7S@go~M6)@AI=Pvp3rIkzG$ZHJzi|@SGp*ANzFNAX82=w~S6V6h
zFQ3Y79NuSh6PVQNqFmg3C>P_Y74xC)eT5Lb6q%_h(SGoB?#mf&RI~9a1uv@KWR^^5
z3V7Pk{*W<)*VUP}2~!9C*H?Byo2y+f%#@G9hZV@q(;DqP;U536x-rng2NneG?ZWpA
zS#U$R$KU=P8#^TxkIY*2Yc+A4ken$x1f2M0a(@}g|9cswWRnGQyW(2fl79lFBp7tq
zx0ECn7beqBKR!h=W6x+{$vFgel}PhLwK$gDtHk&?jSCD!x%O}I*$3fsjPq56zNmk8
z{a|)5v)1Ri`rcKvbgqxA|COae5=6XmJLZFv8j7<Hd1px+81PwJPRO?7cj&!2p#3G9
zqQ5n=!}SlJ6qASSZf;fKKMX89#zXvQUcK@pyO`f)eK?SU?BEjmOm5+))3V_s(_aB8
zUW>mEcOe<J%yNqAZ>`KW^8EHGhFJASDc!y_wttfb6<(_MMO}DFF4=!=<@+;WQaHaB
zZtQhUDhZ*F-^RFZLDiJZm$n%GSU>t<d%bND*21K}gyg?=_SuXHX0{@2B>%$93j{I0
zoTA{>>#S5Q;9HO55<5{^i2;mOuDFvp8OMw@KL%Dy|H%5;+{V$ssH&KiSC&ClJCgE~
z1JAOVK(gKz4;iywR_Il_lnz00XT>DQ$B7gK3UzSfWPk`T5ch-Q*5D_4^bX?Li;>wp
zV{)1<*?@<EIDVlD2g80yVQZ-tvm}4p+pv(1hxZ5RD3Bn-?=rt_{b$Oy$Gfgc4H4-5
z;aycfE5th9rma3#M_xr^<OfQnFS#YvHR5{}kKu9(N$rqK#?iOrg{RKfa<~bEP3_V>
z=n(RbuF2OG^rj+Jv);!Au8tc0D58!}fJn-q(5#W0`FW|TZ=cmoYEq}EFA>%YFU#fm
z-c^g97`b*rNb<%x%s=wpS@g8Y338og%K?i{dg3|7nq@u;FMYt0dVP03eSZe3y0G=^
zJXs*~WwIuaOgv)%qEK>&xg=10<g$)?0vm1<tpINdVxv|LbM8-To!GEwpj=eWY)ob=
zVWdI~ZK06(-K2A438uj+0yFwr*)$O+NLw`V_cu>o3^p;_+mW+xi8|whVm^bLsQEzc
zC0~&#zdHp+L7QU@TsQV=_#^$ppUc+Z4k1p`^Q^gneT}1P04J_J;5|(bIw`H24m0$z
zd#yd)(0JZevB1v1F5qBy+`E!O<pSG%+|As`D2G=@K||5$Cd#g!zGerJxn2zmg`8yO
z@oR4rbB38xA|)UP-i6)nHZ@BN^gjhyt~yS$RXg8;%r2THH92*3P81mh`6za*_*6$x
zB2L!el#2PS5;{#zT<`e0-<W-mkc(}wKu9C39=My>$jZa|u`^r|tz)N{$jGdlTfd=L
z8)xL+tF|i3SubkoF4)bm?59n&$=HahqlIHx8xaw$9T$17Aop$sb7S3pE`1O9{0qpn
zaA&p{mx<dg%bA8f*U#(C`X!VlRT-rA5L#qT<^Th6<>!)ITmQ;m3-CAZS*fZK_`&AN
z^VyFrCf18$b}M0gpX82o+>`x0;k8|c6ALfE(qQ!t_mI#V=yR6~(i64rTue2t9iFCT
zLd^T$rHXb)FIdJZd%Rupytv=t6r+n7;dvHElX0G&Fqr*eYH6^5RA3S$ul1Z(96qyD
zyGgq=N5O}0T)p(6gxHccJT#s`I<}H_c=K28`1UV90O894hr7;NOVW08r`9EGFU+6W
zX5zW<1$qs}vwGwQi`PeED)}9<Qg0CFXz>-C-h|GM{04||;|5eoe9fT1x6{)TV`eIV
zPvs<a(G`M6l7Z2zsp+x!`?G)hFSdC=P45NeVz|HeznWv*aEgQ2;fX>N6((iP^!^7f
zL*(6)1+a@gPPFuW0?(5Qq@qmw0Oo9V|JN5E%rMI9B1<WUXbaIC@e*TPJ)1?S66w8Z
zX|4<=6_Qv5Hs-W!ZPefAGPRgKhvm0yDrM%Wo=qo2mJCy>K)`AOqZyQN&&8%c@QiId
z%k=CYrPLQ*`UHKCSg*ViNnW4Og|dqW;inIO@mrNmN7U?3sKS2gyr3+JyDsAi=8g(u
zllR8%Xy53iv8d`}h2fikG_jC+=B8p&kt?g8rBS071q+2XaLOU!>|Yhco=l&5wx=+z
z{{7XhphRXY5{Blo5Cp}eBfwZRDldGjzo|7_$L%5h3MrF67G28+o0c*&drgO&Hu9p`
z48tuevg8;0w=AY#`+1Fn)}Aq<BSmo4A$!#vfgN~(?m(~b-yJ%{{LA1;;a;tUc-RHm
z&x$y$ypS~t6@vNj0lFet$<Qj^`0lDp<FPU^Q&fXD9#G?j=~3zIw!rg%C@`ZEBUqR4
z{0#*a=^W$-M|p@e_k&WgnFN{k_ih4^WGVTh>hE_~E62BPWx2);f@I;nP=@2){KZR&
zHx5}?Qu-qAc*P}qV_NbIuMpZJ=yhg0*RfCl9CyVj5B-Drn~0&Yh>ED=v$x3WdMiE@
z8Pp*yrxHDv2FGPSew$PmM$WXqN(8ZX9W0_VG0cCCs_y;nd|G#0rHqZXDBpxI2p2NZ
z7P{y_2-wp?3!;|8<&<$O=&k>DfeU}&cbSyu6Ws1RRC3jv`O{~ASjV$IXMg|qrYP`h
zHhcEE@KQ<_A7>5sS&EYhuA?IE!@TNrZo88-SO~S-`Sj<B^&J_q%AH&>KR*NM%UA}e
zYhZw1^F6_H&Aiie0J>a>Y&iKEXGi341cuY|ZPDaw&_jv$i#il>X&gHsDokFIob&)R
zBY@jH&Mt^4KYybsaUSV5Hj;ak6yh+FloY}VRsaULvG#1g!<&2x6-|QoV4K6XrCxE|
z-~h@{{(3pck^2Y8^7M#sY{&bK18_f$=gOacaQqslfrcMFaeV(4F}~1fJ^JqTOJASK
zBxK)`_kABqffUHiQ-5p87s`EE{BUQOA)@sl)Xm#7mD`Q{_k2%tE?o`BS}OmJQnY(;
z6yf}F`)j8MPHXc{u}#`*OS0Ceukw{>DnX>#P<Tn3qukJJs*G|`@ZSv-#Th~qFXm;T
z=@Cu4g3cl-<iskvY!bM~s~!d%cR%l>w@c{;?Gqj%a(MLQnI%rbpkuoll<>kYwhtFB
z8tho6N1&u$z74P;Eou$H+d={3?+8ONKau$~5?0*Z=#<VpzU}9}eAa581|R=Lly%`~
zi_m*31UZRd)KvBF<DU613c*VT6SIp{Q$gq)RsdJ_F{Rs8G#-v}ct2XaBS}w$pN!-o
z3c7U5QX^t-430ma6j?gG`RhMu<KdnV+@CuBTnk+`e0y<Sbje%cHl>Pla2V~gMl+4g
zOEc;<e3&fl*Kx%_GQ&GAQ%BWtgT_16{y)sgbZwvXe>G%LxB0`#-KgBJLS(7(s9uRd
z=p|-E-%L!ZBDQ7ojS!(KO8eo?lc|O)K%9^Q>6yH@e|cb8J|;gvtuE_5UgWvq$B8s;
zr*AE03y*&(op4bfiGdA_w?9dV*F8RUMN&v{``&R6apNGC6O6`L;0YAODD++1JH3$b
zKb5Q_TB3ofrPkp?cR8&C54)Ul(p{i*`~F*k_g`%493yyxaAUI|dff$3HfNy08;CZ`
zXhQ$Q?4bIOe@)zzQs5QwPT%GOJ-j`=WLQg5y3j^X<SP!NRB@o@A@;@rEc{1<-GJ9V
z<O3+@Hp{4-OPpMEJ@h4%g51tH(l%eY|5-zE8z(m9XIL~sgDop0DKSSJMDVYm2t84C
zs`znLjS4Ajvo$73-=ve|_dvynp2C5<oV_<2c-#aEj20*tJ>_m|L4z0^HAX&8WgcS1
z{eXG?3qqJN!%S_{1xo=WW4@C9mcli-eigNAL|EyG#pCCR0~h0Ic!*gN9C$?M7~nup
zqnX&HZw(^(Vm);X$lTfAxmF)Ud5BK|=RRkPqn_g%ps<ZM_cpV{t(jg!H|zI}vbL8^
zpm5*@dG)a~<f2&5?Z5vhtnr1i_nQmp@D3stj|*Y*3k}~AJ+)FMrD5s^;dRSOeLZR#
zcX5G<=RpIzm#Ucl80F&b&6=17K}?pb=v_-HeD5#z)11mQ<BH3`y5vzcWeUtMcBUOj
z^{<$&`br#sIt7wW%HF*-*fOeHup61wZjv*540rS41G5+mecpEpMExWbDktnu*|Dd}
zB@>QKbUegnJ_?eebI7-<bXBJgTa&%ta?6a!k{TVC6>~{}i{=$CXkWn&f%|}b5(2At
zrtVPHonjgdYhSv>?5;g@SvXj+uX-9st;bOY;PJ1U5U4bA*|4yN2Ac}a!Etj+m0`yB
ziEhzPl0s^h0Hm6eLwL{_2rYWAqv0<#a{2I!El`BnMHKQ52pQu|yP#b1b#!s&&%2t6
zZfX6^Lz8w?gZvI?=ErrO1w!L34Xi_EF`!&zxE?wi0{gtk;N34;@wQFne>K!j$oBUT
zn0&|LZ3zU^gZuIbUdUa0ga?`lEW4`@#Vz9ut4Lzdf4Cb$L{w%N6(=%eVXNtKr;kOW
z8L%#ei6ut(n7IWK+1<~F30&|++h*DR>`1!dsaz|?-7%b)Ng6#nj=((rZ>!~kDNAmV
zi^3sRUqaY9RSX}Z_nYCPEs}kvm)@YEOa+pIaGAMe;9O``3eC6)_5%+pQhKvf0vVB4
zWndEjUAJdwJi6sf8o3rt5I_q1_&-mi`2j=wxk|Yx2WUyoUtm(2h;Cqa;wjMY`1Gr*
z>JYydyhshtjtJ-6Q6m6rVJ1SG@$yRwr1U<-Zhpd65RS5pNK(3ef)<}Q;9!D#=xg}T
zyy+6vFC(Q2`mjf5NpNu?akm=MsIR<3L+d1g9myO%Q*R8nb3pa;UxpYNd!gCNFcE6}
z>K85=`4fr`3-@sa&~;PYbB&IKp!n!)_%p5cV)T%z!I+Y^0Q4UBu*qMUkU81;Ty=|$
zv7OAHTc=%Px*o2=;q^Npip-n$6v7;qfFXz^HPqp_`+&*ku>D-BT)SzsakrQz(euHk
zj;=-~toNO>m{{dpE3?JDZ0{ir_hb7b-yKkhzUS(nwN%?TAc3wY*3Fkr5;(kYkt+Pk
zmsHx(J{^aI7HO1+xwF;>-UN`50kZ;m_aCMq$Ghg;-|r1CH&67>wwJ@TG)I_tAdxc)
zX@P3^`CS;fT*?TLqGBDa>Xge4-jdVw8Of!iz^JBeMSm`BfO;xXGw<v*s3D~)0QH1`
z96b3q$~%)#HL}8t1!{2k>N0IGN+Q9_A!6gR4exN?k6=S2tle0DE~V@n664QUuG15*
ze_O=VoQC8+Ey#eV_%bOqQZ(z4ixfa4oqXE?*a$+0b$|Dh3x?0(SQm-oI3gkViyUuV
z!C7utN9k7kg2|Z63#~NCOc7OQgqIAHU$EiQlnma{A%z{UVny9e9+D$&u@lxEw90TH
z;y{bY@4XoagKJ7}2H(&Rh%J4hqZ$meL-6OgJn2UnX~th~chcR(&_Pebr44Oe34eZX
z##&k8b8+NJ&B?-6&+Y%&fcM<f`h(rCcl}zR1M9O))8Nd~6c5q*5QR#<ms$ARYkcSF
zi3XD+mLRv*hW#l{=0e=_<-R=f8M@V_4+e!Okekr^(9(8{Z8B@5ECIKIIT_Kh&4rd-
z!)tK(+>Ls|!TGDcK!x0L*?7;a4Ht7@<82#^v~WH2Na9;1#*JH+FOov&kKx4U$UGh&
zsqwvB<z<VGc}`}~?Rvy;?uE}13Rjt;tbcN0Uw;4IzkM1A=O{t%y7p1T{F-}rN<DaV
z?S}CA9|5xHIap!ZX(&saI`Ns$(ni}J6+Vfc2Af4P^MB#}2uHhd8+ljQp*mqREbkRy
z-ZJuwU4Q=2gv+zWQHNwxOiRKcgh^(en(kItMuqx0u&`LrJ$&sh&lGB*OD<B%GddP+
zMul#`+vmyNE9|x`yM5zjuy$t#UO%nh?Q_9g!EpZDN;XzS9E=^!E(=}~Tk<x|)iy1%
z<UulAkJ@ogm)&rk*`<R{b>ri$Qc^p_LxPnLH=}86NlQkBV_L8CC!kNSl2nzxIQ}9R
zrB^-lyxOZ0BUfV%!)50VxauYC4Xss|U5t1vZF7XlteKyJq&pAv7k10ZuFsjo2?_El
z<PL2KkQP}7^j^Zr7~@|W%2G^TUSO-Ny_KoG%EDMogP6bnEgWDq)o{e+l!ks0Wr;bK
zyii(Ap~A+<@NEdF*6U=zEkx%WSKWJ)FiJOz^@r|8Fe+2I?b4RM<cpB>I4bqlO-(Rs
zvUOXk(}i6|sulFaDQG9*AJ625#{{U0KrFri+{y(g&C&TqUT4KQ%{9Zk1>WGSgHIe&
zv9m+j`mD)`l1GkgxIC+W;^!50EO^AV)tQ?o4xcm<umu5i8HAa-RWC!OE(-_Ii;dYB
zroNB_QQ;+Z?Qc)2VkTc11`RnIk}LX*9#SAS$E-gj@BLUUfB^DX*&A;8k(5|~=+H0p
z_jiRRJ+w(5cs%l^L?XSC7P#sGL?LhNUiV1(Hc$qUCEgQCm@0mUZc+118YJ#(1`E9N
z_I*ah>v!O#c^joLwQI!A{vAOOuc~K0%asFLlW>cO$8UY<N-(KvG6+eR4I~vSZfNR6
zRk6AwruQlE)>m<=xViU`A{;wLt`7B^QEl~fc-`bR!lKP$dNlY3&HozBsCE|3X*`G|
zypFB8S3k7+KUc}a1Rl#YWqQ$D!J1Mfo^f;{qFRK9Xz(oEdaITTg|~drVi!R8<hn>o
z^2*bpBubQ8iYd42qCdFV5(SDh<M})iyd2<B51a$D;ToNr4X%B~2NkQ;n%lwBM}Ud9
zPH)vdfaEX^zQeq@7Ksz9CeE_rI)Ep0pQFgor9Z-SP7x<|H-#M+Zjaz~hYu*>>cZ?_
zrNK{-06{9{RFeHPQKTI-G<R?L29P>^jW=K)y4fT_fZoLx!$UGEVv^cXEd|sO?F6vF
zyp_Y7_>?0(rN_|b@t0GX6v*rBR7HWUQ@|{}l*Kw8PFsECMB*ay55FkO+I(2f<9^;)
z)D0d%&u+dEDLq}(?C|!BM&0k(Uq6c8iPgM=2bP^9%R=;sigO_+#eOdRp8I9BQy85^
z4UKWWnFM~O+I(&^ly~rdw!MG>Wf8G+VnJgh!8Wkf7M;@rSfy?3DPJER`cd@r{%d!0
z@K7Dcmu2Vq@6X>ubk0K~DStge3<4{!H1=!H-_8FbdFAbpj3?SmB>vo&5*N`9Zz?Ke
z)fb*TS{$Ya-ke49FAcQNJ&n17%Gnr@kmF$v!b)z#c-i6*N|p0KHbnHGQ-zk(!v4;T
zv*qP)Ar^&~awqVzHDO4`<B$dNj?$^ns<lTTpmddx3>m?eMLUo&M_6(4JJ1!y8;tN)
z5>%c1_-5}&yyT=ApIN)NtdJRT01?gaZWOEKbvcDo?;{ct!)Q^4@m~~Z5DDl?f|HCG
zzK%~4^etL8Gzd+AXLa)SUsjmC4?rv`dQApLPqZ=mMV_1#1!j@*?p|PB!R84arox&Z
zcZFsIFpfgngk#gd{VLL|&f2@A7~bzTm8B=5jb?P5EMEVg*|?_Jr5+>A2eeN8Ojr+Q
zeYDH%#kz?;scX|som0Jc>SRX=6S#}Ha0kU4Qtdh0(1=#Beh?i@@S@wzpsN0;`fq*2
z1D9q6?{iB~WRwd|h)2Z!6a%W9a|1;ZFEP)h8b@Z+f@?uWdpapzN0>$+z%m{yhU>k3
z#mdP+%t@$RJj2@t|Mb2RTUHaK^Xgts%MaTZ%}hXB7gWWFQmS-|>Ywjt7i*Nw)m>vh
zg6PMx)!;V0)}YF@9=Y`$MwQg~pen*l8*G<yyArMnZTUF$sB3aXctj6bz|a-{@5h}b
ze`&_|6{=ruDMG&m?>IMIbyl;jr1*n5L+9D`t~0y@=j({dLExv-Xvkki#jn<>+=*M8
zV2V{It+3-J-Ne(cp)R0~4UiT&f!vpcnt*?w#{oX&=CggNW0X0F2HpVTLkuzfF6Y-x
z*%XSYRJ7(9AF=1w`<*9Fev^6*$$s6Og$A$A6>@%dN_Z(DzDhasWh>mn#?~;b?|iq<
z#pA8!ha_IEwvWct9EHwCsq1JH*?%b4GNLLbLL~72r?J^f!q65MEVXoUIuLR#U;!C_
z<+dl<-~E>q^64!*`_0&klExIb(<<rG{?fU{bCnzBqcbvyjtlT;cAD{XHTxK&)rnl-
zMy;NDh;Uux<>%TD8K~HPz#JTk9N4r3hc9ijQC<J5i04aS6*`#NqxsO#?|nR$kscOu
zZu@VaQjDgk`4)h(u~m1<vnDf(i(IAGP`}R2E@>f8dw=?8e3H|@t0xcT49oUBOa(rt
zZ}O60bS<driF3*!<GD8gmTb<fkAtqMU9kz~A)+7xU)+0-P^CV(lmK&{iwg0e<Jf54
z3D6@0gBbI(GiI!~b`i-X?-{VLM8EtxCK$-lqjR;jReMG9hHlklzso<bag^CIDMffm
zqN8!o3lq-Iq%?^YMaUvaG9TUUa{u~=L45SUBr@*Q<m(A_bZT^A(g%}XZ-v%f!Cb(k
zpgzDY=R-}4miwmV!R9K}1-Vmh;=I>Ak5H(HqfkC5Sqxo^`sRKRdDZ~i0>-C8eO>`}
zwVE?akY<9>U<P~Z&hc`XOEAe_D_FG-QWy3K8kzw(hA8X5aw>Fa6i~e}@$K-MSFFse
z{?sN1Vo!8euwRg-Ei%waXi%DYvrnnQD(G_PEp1<M@w~p^Q2kc}JvYe4??1f|6$7TG
zpyY6frnWQZe&nK1YF-_vfgsd!?=v$zSaAg(La7Ep%Bq}E4Kli4eC|9^;8G20UwY{Q
z*Ojs_()4Rk=>O|O^_>IBFn#>b0f_&x%8We+3@c^9>a5_0HAiCn^PAOBqM(HIYe{7`
z>XF4`uZw_Y%E&~G$gmK{Wx<YfxY7LlZ!lPdH-<lA<H3pAcs(QTkU*tylI}3#7{ok&
z?k=FIzQHNNkXlfcdi`pXQ_QtqqW{q85;}y_`Kw0UyZMMePOFLca*W1d(5p#pm7DZX
z=vhH?pf*B^WgH1EW<7^%Z+=fH37u~pfuiPqx2|ZP+*-wp5{o8>^7v6{8FSCp>ezPW
z_)gnE(wwj9<k;Hi{x>#EK7Zt|)0Fs;U%3(id{FR`lNxGq+#V!q{3njhsUh_`#qCfY
zY^Gsw$9E2XhgjIQOz^oh9|+vx{A5Np5aTM9bMCuJjZ|0#ON>+TTyTD|?q1l_{}x(-
zP)FCnC$Lc0ykhVNSQQ64&T~hM(Ns^CwkW=eG)JItLKENg;C-A{TZyRqWX?tuui&{c
zC~%iVhHpRx3&!yTt~e9p$pOIiQ2fsv6=gI9=R~q)i%6)t0vR=%eb&AMgjSsDN&#1l
z=}~m`U(3B;bXx>6O1}zm|6TJ+NCcINr`hg%m&ZnTihd}=lgGcMlpIo{$iUL~D50RE
zdLJ73i2m1Wm!8-s^){N(EbiKyVQYKO+-Z8JLWT6el#6gJ+g;0^e<Sg0tZ)k^K2Fqj
zFctA!ddxhoTgu=5ji(HfR)CH3E)jtDQS8sHmLJ(&42FnsM3HJj)7)AhZyl?L_{}UL
z%{Yu`K+5;GXF$oz4M=<hHX_<sijPxdu*@7E+&Pr=#lZU^&<Fp&UKA=O&P<P_pP9^f
z;51Ch>w+`6{Ocpy2MJgt!;m(3A{j^$2kymnnX_M65m7M^IqQpM(roIVIZ$l7+@k6<
z*)<^!J>Rhx^DvbN<1Z>aK>e=Lxt)IpSgSz?C1l_o`}~_Cm^6q>8$yj%dH8uqnM#-*
z{Y9=znvpqC`hoQp@+!^M^j(@Notx)4f8g~P#e6-b$tgy-m=-v|9lwWr4UFee=h90r
zr!CWY)-pMdDbDab0}&;DbtW$(HdU@48nt`CE#|$S^#DUPqd(1#WZc(gJ1DZ0Fbt;C
zN{x62XR2=IL5d6+&0a&^H0d6*6Y(`t`PnqsM0Q*)v4tA1NFPE<GHrNw)I&USvzlSW
z2Q6Nrqr%LyepBu*t{i;+cY~v&>*qhD&u|6;lOL}bS_L-%(+=tXdh+kXs_cHZD^6Xx
zXj-Hk_lh+c?P260+Q_BZQVnXeO;I2MI^5;9mN0K9B<2u=(vVlRRtokV()Qw_ZoWZ@
ze=i}g%9~BzwersH(&;m|e=;*fTbM}P&BHw>lO@+PDtg&**FBE{9KtH6<&n5zx4@wJ
z-Xe<Vk1Ir1Ypl;*uj<@BbNc?pUu2m7Ky1oPev#RDi0t<?Vn)LC#6;$fQXq-9grR?_
zc105`70x;&V^*8#Gk<7RVXmL+vcgOmpx>~kE_=G!i@wwoo_C6;&rBAi^IrJ!ROVUs
zsj*r_$Bb|%Pnd@&mHb;>7f!(#ZatJmkmp_3taK_sU#dg@I4lG#dkyH4XFRD~VZWCz
zIOAdWKn`BDczU7BRf4x#kRDk#_-HIdkWXLSb>=Uz0I}G2@9ZIfw+~jf886P+7d-(y
zF~D4b(Mb{*ayk0P%cs`V0Tzn_Xs|h3_zH>hYKV?eTC<4zYTpx%BTR4pZdAcR1C)gx
z`w;A*&)Y;ex(t7Ss;+}g4L-ml=ECfDkb(GrBmV0)!HZiD099JeweOx!JY@U>58bS@
zqH>=O_vl;`g2{R4QN#_RKF9_ut}6&KN=B_A?Lk*+jHN|nb;8t&&#{|#T{{sK@$Am`
zg*!@$ejgiO2cT(7|K(TC{mPF$FA1C6@0qc3ieQJmk5EoM+IN_+3F1hFiRRmkxIn|{
zxq9c%AS{CC8o;r@Ja_nNHlM#&1IqrWmumE__mm}Q+A>Mm(|ub#NEpmq`lJYZ4~50$
ziT{Mo@tc}gwv>fBYzrcBjr2%PC0l*iPWkSAV!SdIz9wuzbFyF2If+9^=^4V()pUrJ
z;Es^Rr0gT;63J;Znfl9(Twc10n)!-x*|#LyLOUrDbq9~b^)kR+Z>~+z@nGnnRwO=P
zMjTzf<dC=qb`F`QG#K-E>Q>+1HAKLCx;!7HwRmwa*0?tI+r_Lc2cIm|7>pY;Y*^|o
zj{_E__{l|Rcp@D-3a=W#5`4lq?zQ7H78iE|&D*gj41`+lBTP2;&+S5A9y~CehpD^X
zfB1NaH-7?z|3oNN7MMmReBj_qt*iL|ror)wBG+V|Hkygrf^a|y;=?R#rc6ZNvZO}6
zXEN2K=+eKlDKa;NDgv@(PIC@+P8)eMG~o~=en_2OTI=_(KkuyV8U)J#<zd<n`P9j;
zwX!%T{$MkY?nvTl&ZmmD(Y2|6Qvx#hV8WoYB?>GLdE3ERNBWJsTSoi#zcc_u9MJlw
z?}s`6yKZ1vlN55F4Of>1g@iNrY18O#BFu&Ksz9(sg<pdr$PwJq)D`X^9Bo49mZHF9
z3a^CDpqFdnV()|DDLaO9I3;cwij0G_6AX1Me7RO>nkH&gD8gRinrK(D^Et7PDeUmS
zG?Gv*j^P@!_FiO1bo^3xPxf{WYb+bCOsX4_2gDsJTba=KyCyvT<%aN5ain|)A145*
zkoaf`HG*&F429t;AQFVGe+|V)C};3ox;S`dZ9jy6T`8Q~4HWK?$C7KPaqEy$6<8zg
za0YD>cp3b8D1Vw$z48CfZ0K+hyfeL1*u*ST<Uhw<gQ@hg?tKuIqv&@K0hft|hd6iV
z--k>+{<f$l6ZeQ6wPH>~eP>+n43)ntF<rjGin~-bf9dm6f*>OEA>)s3H09#9^}m6N
zjP#m(hT6z<5wogWe90)Wd@MS(RHNG>6PHJFn!s1AoMAvpO`9Zmh_@6@u;R{xV<?^s
zBPgLgk-o}@?wmvSRrIwEdA(krF!)IiQ{gb)IBJzeh0nED$}^0SWqsCIE74e*CWS7s
zS+E)B%yhF%vuD8k&-Fr>t<qk|R&I3%{^PPixG=y)GcGv|mL9}f_wi#eVY@K9Cp7ks
z!I7Rp5oc!i;4q?N^`lf{jo+%<RP)leI>CG)4A+AV_`WF}s!L-onWUY`M`0nZ;R!T|
zaW$AI*Bf#pd@lUH5hLA)x93M*6}ej_<>wLPa}%KBZ~Vuf0@1%LsnzdbQ+3m_d)eKA
zSvSWdj2~sqFX?H<Ma~n&eAY^fwp41ZhT1r!eUOae4|SLGex<cOV0JpowBmz?<*by0
z^f#lO?db)0!hp0-`s6whOj`NVmIH`A-pZKl#fmd3UU#eFPv(!r<<lb-auUqaIRtq@
zv^Vt|#T^4Uc$bu$12KC&Xmjt7V9bZ!{3{ocj3aLuv6vWeEAC(Xh>jQ{UW1GL>R*XL
zAN0tPpMaOoH-KVIonT^I6j?eJFj8HO<9^#iq4I;V>G$cIbc>&cWt7P5inRz*aX04L
zmd`F6KJg)hwL8d_C=;q$tJ#s)_Pvq;fepu<c=F=2NL<Wd+(TB`={z}@L8|owUz|=8
zc~y6ryQ^G-*^O~CN^jVCpU3lPPL%Ow<W*+J+0k(|IycqtC<Q0Ld^wD1bN+<(oCSK(
zc!2=y^gYy!7d_I2AO?d@=e>FhpKm{kiq^PgCf;)T=L6mzk}3<rnHQfl(iWhxQscXk
z=k5#rsaA_z9F@vg+IBH)7Ok7AGL;={@|jq<)ufR6J>Q){lM|MS_gQfaN0^8m)ObP8
zpOSwB|JR^gpVC@wdXQ)1m}h>3245q_%39ac$VH%`8uTNY)8IwHqS5Zt1%{MOazZOa
z6H{$tLR>DmFWFP$JNMwdB#QBE2Ow0wZvqx_U3p1J1it**x$IkK;Mx7l#Q2}^D!w#}
zR;}mxL!#|52n@pjRZ~7sELail!g9w_96%z^&I;;2v?5Ttaf6U1prUZZw&9-iR0~e5
zt)(QleoOUwFPp=7UAxvT#6J77S~P&}Wwg*%*&-PSkJ?Q{^j{fM%6<RtVV8Q@4+$!5
zii{CKI6kIKgT?f|i?wKi(<exZ)8XF~SO~6`Eg0+B;zd&KJa6dN@G8B@+N%iFR-;A$
z)8zWPxo3bH*50i;;KsYP?*W|{{bdH?f<t;kJG$}(OEF!!^6=d^;8brCjDgrcd9P9T
z6O^_WjHdH+bd5uUPlYK-hQs>X^p(2xTWjojaQ*l+&A1$$7Gf`|h#P8-K(EVqe_L`9
zpl~4TWMHB+;CG{KL;U_z;q8oyKQ!1$nsL=U>UIi5?bh+PF#2ZnD~dlELtqB1vVVN*
zPuk*2;sax<KIw>7DU|yk6AWHl{X-c1Zls@=V9}HldjLrhbI)~ky7jYy%jToh>$J@i
z<=H07FjRe&`XnOL`pzinj~3mc;&}iHcq^6)kMjm$(IbmsloHyZ!Ds?-#5E;<p4M-=
zH8#m9KPPZVt7G#a_BEwS*%PHk16>d!Lv3PWOEHj*>t~^+W1%bErumn$WM=Abpsan_
zFojAi+Xlt-@$yP%ahRq)8bOUj_BxncTwdt^tBd^KEWqfTguKn*tck<1=w=WMuR>LY
z3{tG^UbEj_EO5W+0}?)k4YyOI7F7m7JW|SqJ+c0CNx}k4=Gip;hi+F?_vVbRUmAT<
zo$vuY^f6^OeoOuo??J@zJ(SKrSz2|w%h={gHHoFYzW4_imzn;Tyh!&A!r9lY()KPh
z0T=b{n(G;mNWDM5-2&A$n-rZZ799=gy5F_88z8S@F_->eZ}ML4n23a-S|MoGqNhyk
ziB?Kq7@XDBnpRN!rxp9z;CDU9hsSyQ^LKaD1*&+<!QA=$15f#}Dw0zI&o~{=TkuI{
zXeSz5e~~SMlrw`ERS^5<@7pgVwr<=GCQd@C&DSA1Lb0k#b*}Y|G}tY0o<5ec!$)1F
zEAe5)C3b#G$Ts}mkNE=jq{D}nLVpOO_jWu)E;J*HG#`6tahj9YKY=#mr^J7lt70*c
z3utEPDb?HzJo~I%q(kZ5@fAuWQd*StcqH@q`bR!aKlIA9=bY(VcbapWqwICOaVOB-
zjI<MET9Fu^1I{>AdM4TwXsQt?#%HuVLWvC+@cwuq#lE@QJ5u8P+-)a@XJ1G0I;)v!
z6b3Gv!>}6%FLIJ;W%s1PisX*ekgnMHBMK)N)X4~co*XhZe*kyI?O}I#b^1sxSWYRj
zvT3vMSpChm$NRc>|85!2313yaqU7%QjOGCHRE9CswGsw&C)+?ujZ>-IjZ_>~?Ju8m
zO<OlH?`<n_bK-s6d`}N~l?U7O@X{Om^TcIsTv_EL6Nb}!24-wNGrs5Ixi~?tR`yk+
zx&o^44gL92p(s_Sf;Hj))rSh189F;L52iCqxk6ibS#UiNkKm8Il8U&*53Z8w*NDb6
z_z#?+JB4t3+u-fJ|8;G$Fn@Mk>w{>pc5unKEhRD);zCapI|sJ*{Y8q5Hv04PdVxF3
zFPd}CL(zPv3I*TMf$xd^lH=_lqjX@Bc**1cjpfMIZT-3VJ)h@-rpyUvMSCIjBy@*l
zMUQbVD*yH{ev~f+X1k+=*RjrL)hteUhtDEnV3{J8XPraoPG*s68SD08L|WrJXag<z
z-$#2&<!s^SlSG`dm_Z%%8-PFHkheZ>^1>qizUNX5ENIePcCJiYrO;{41S`c3#qw*Y
z1KVR7u2)s@#cr3U&7<fpTNH1lteYdJH%oO=kpY5_Px()Zsc&XgYVfdo>KhR6O@hen
z&TK28(ew?^wO#Dz$^J)1I^@Y5QAEa~l$~*HqtzdF9R@q=ine@HN2L)RH_+h{>dbCy
z|46?`i8KXLtqR-i)Yszg3$iltHPVgy;VQO&Y73?n20pI%$omzcr@vplgKbTZma!Mt
zwprg3vH-%b9GIw~ir`hiJV-m-ch7e#ZtYeyilsI0U83@9cVRtI8~AHF1>P_9Kf5!l
zOpopV%=gWgc0zxR<j~|g@fbR?5|aPd#{3|rM*A)xnsii)z>Ln0WenC7sij?23>xxK
zyomL$lZ9RhuT7{Iuq%8Yy?;}`@Dg^M2cw>rpZFFeLLZx=dYw?F729Vh1@BN^H|y&0
zv_)oZ{g9GVLolbvU%58A!eu!Y<eoY@PexBnbYGj$=}nhO{jPQ9C_?V<hCnmAYe<%L
zP}5^U`p2(L<XXSoND5J)!CtyxuKaeG0?`&@Gy%$**qd%U{P+j2qyYt@+mQBgQb?7a
z*uJqxNXUj}W+jV2R28((e1cV-riL!si|f*rO#W-(AbE`MPdP!+lWdBCHjuvrq7suV
zGixomTRih?rw-0wrUA5L^4Ef09S{{Qt;g=lT}3<JPUMm1Sk+|ieW6BJ1v>kkIyUM0
zwA%W%@87z(_?grFBQ^4wjXrvYJow{MxQ9lr@18^z2)859^4Q5$lle?fv@M%c1>G$-
zZ)>J+w76$2KV>QkGpkWb(5XVC;W67lH72w{eMan)tb~|O`=%W3xd)cHr$r3yf?B8j
zCrTusr}PT*V$4q-;sq!?h%J4UV(zsdpXwD#$$y{rIXiMbCw*ZqEn049Ytb?=NPcV5
zpkp-*`VEM(wpFyk`IjVrcYrx~MFBS)uW3NzgA$I10yVOKd|8v=;}q#&3`Y8UIIo%l
zS?Mz?aB>*W{#~or1sxaB1xkfX(M#@XdM-)C=K-B$DnG((s*&p@xl}X%v{S|nA^m_!
zrfX_V!2zJqz@`TW0-yQ5o-6`3GZ>a{m3p1WHB*{7{HYM*hC6g619dQ<Wv+}iUU1L9
z^G?i=>keG%01r%+8aYr7V`%X_bZ%X456Ex9>XFD7N5{KTY<rz1FMaW&E4qqHOY-?w
za&gbCl$2Sam&`sv_&dfNs)?xd2urGLOjTXHXL1cJJ(+=P3jKbsrw6wdqd;q*z;Ux5
zqg7<xqxm!3{#_EhfCFM7<CP8`uu-$=oN)|04&~<8Ff55fidsI<RjDfu^m(Fk5)FPK
zX@{qaEK2CXyQ%xH+vtukq1$*hc$8<#wbcxh_LFK*?hB|!ce$0M5VbMO;)ThX6d*k^
za16yX{AjK(oW{{n!0oy9wD@Bs=E;*!4<f>fUbR0ue_RapND4W^1m&+=Cida+KJuWP
zy-OXuEaTF+o?J&N9MdEX)27`{eGA%RTDFVqr9JE6M2p<}^iF{>BrL?{fHcnk-^Fie
zi;Cc=%|pL;IBqzcgD9)IpH0dm`Sbpp2o&wuQ@U>l*Fh&#!yBg4#^STF?fLP|H`J(+
zX0!@?k!3bDTa5Y<3v6so6v3A<MHq33ETy-$m6V;iidF{8+;0-iQ$3CTCi{2yA7`hl
zft>*B4BZRaNc*Kec*{swK_)DgFyjwT&!zN;s{buAIYKkoV>oDhw^p@zQvciZ#V|Yc
zgrHWx<Tx4UdNJC0axlQI8Pb(o4xQBi`|Iw<5nmh}4nookORp=>@?0~!!E+qV6lJiH
zN4s~UH-?r=EZiV)!NF061=@y;dCQ&-A9@J>8Ht6B;n_9jMQH3wv7=Zx1@7^VrV~eb
z<y06g==p=s>5%6gnw&o^h(lhBN$Qh*d{AnZ)F3T8KTgy!>VYD4Nn6JtDv?_66Z34*
zD?f-9$Yb^c{Wp2<wt9V|`|C3`Uc33*AETZrEFBP@DNxO%V|KOYy|6Ir)05#EBvs>P
z!`S0nSAOvc)3XZqma9}T(Ps;Hvqsr`DUOt}f0lddq)E2<z>RMDqDX34o8!0mE1ng|
z9I<)!NT4N?m$jm{@6x+y|HQ9jwVUTXHdiSQSo$q?a(6U-o(P!!yvQ9MX5TM*t0Gev
zak2M1nbg8l72urYBElh!qxdqYIhPu5yX2jhuSN(hKxzk^JxHl}L1)V4-o>q#S&p$E
zi9K@6m@4CeUWa_TueY^5lSsUB%O@?rtc0sY=bqN=A#vTF9*2|fOXHLh@;;W(5!X#0
z`wjdjh#zxw&72XBii<W54{>~Gy`Dugh}avo7i7ho^Nf23Y&cb2ZB|ojellE(IKP|}
zk2VhviLyB1pT~FFcJ`ArGH=@#sa_~4z`_Sd$9-o$&bErkry}L~UY|cw6Bk~Yo7JiU
zJ-`>~m$9<k6{`vsiE4iTC_gXFp3^_x4*4=BYT}q~@1elE^GU5?^E|21e>c}WoE908
z9Z<IY*?v7_@aefWJ-uCvyAp_5s)@ydQnVkDxEVE3nOmMRyXg0hzI3!hTPBibQ6l}<
z<{mBklH6F_&4V}!`@a4p4kC{+18&TkvNSE>phCNW4X5IpudGXc{<OD;QhD5pn@0D~
zF%cMWdWvtidz??hhZ>Zq6%I)15~{T3q;VJYX>N0gPX>t2-94c6G^f_^QYSr*!n>||
zYF_&4H+EAl>jyb}1t&}m)#&iz)+WtAzl@M^#x5keY#jnSzOthKNkzA*UBYVaQ6}DE
z%6V@OmJSBj+*`?w{u+<t@m1K4Ohb$ryo@VFCOEDFXR{w<Rhh%OGFMh2_umiXo}P3E
z%ROBQ^4J^Yt2Gx1RfcVuw`4ca+jPj{R^cu?Gdr7V&HDeXFe39`_3IqonVJUj{g<k+
z>h^)}dsJB1jGt_b-D|`-YtjYXG@hO6*3E0p&T7r`xQhI8R;1RTF6C-grS}Q{%x`X)
z%!1@J<$6Qu9?152eJ6(#Ubre5Id{+XtgDcttvK-rN1KH~9a62{);6V+pbSOn>wL{7
z9PvK+_N7hPB)m^Rz=CbSr#q6!yiR*lqc!c~;L1A9;8$zP?kHBNvWvD~kJ{CrQ~Ep=
z*QskGPOboty}&kgvGrKuj%lvdSqit;$&Cyut){%p60JQQ4Vdi7iji>JCCcvNnW-up
z(RSPA-%lVi->J@BcIp`l9;9ViGJHKp;WpMGh$!`KZ-gFYGIM;LW=|`LEI1w%6l*_b
zIvVc0RXh+a{iC9&{vb)B_ieZ7r|Y+A-4d9K9(tA?Bx!36h|Mu1WP4hNX^8}tUnKZ^
zy<&ij^sNkDPp2j-J<D4^$^=hPdZ$v#Q5v^8kH$8IB%-9>rmHzP_#wJ!7aLUmb)_Qp
zzRfc<Ws;tm*t>*AU02f=GkIb(wn%wz%roog@OIkV*zVUM6}zRVp|`JW9ctaENK7fb
zhof4=b`CL?i3eAdKE0}bo$vGqCpL(37blS(c*vcL`%WH5-bmiDd8v3s5)spNOm6W%
z$-DbrvtdK_6^G7`Beq8=x~mg7e`~m-+5R?hbNq;JKi`=ZN>ZohK*6)Y_ig5+(c<V2
zgR_gBqLI`jS`YENS908JIBB;Z7i`xep0B+a+oG9^PF<}uH-Hq4vYzq#So>Y)`BvH+
ztI9kX-NJ!yY3>aSB-%1@hN7$Aj+t`VlSXUk6_N51fzr<%<huMqhag#WMfzEFY;XC`
zEu9_J<@7a8ZFHKaxt&!Vo^Vxj$1v1~B#mRjA)dK5&pIJ2v?k|D`bB#Xl6D1AJXTz!
zuRFbhgQzZpl=ghZ6>XKE|5dA1MWl(LCd$X&xj-(eZKJ+zXPe@7S-gBOH=s_9fM>@u
z$tnNkia*LktBfd0o0P~&YCb?$;T&M)ulJg(P5u02moC`9fio>?9bXt!3QPrBAV2@y
zQ`VMP6X51CC#Ck2X)-)aYIs+Q75Ynp-t-%~esGFsjeIS|j!$z)4jNhOeySC)H#Bwn
zdqP<J-NeeRi%4zneDes`xe5hO__eV4ySFJ8e;NyjCLcM3@6?hX3@K9oTE9<*MNrVI
z(!Sc99u|KU%UF%fcZbO8Q4>c^I4w&Woa#6bIjNz)-jjC%KglqjA*adtv*RVS<P*2s
z5(Xw*DmS}>2BHm@X){<V)E_U8jEH|vdsBM0JLX|dtmIh5_ALi~L{3`1NB_sgoO%@g
z@k5XS7AdX|y<}`C$8BT%2PwxLBEUL*nH&0FBnm4<^%|A+q?8>CM6L&NApQ66){C^q
zm;5phs`$t~5qOYqp>G;FlgmN;V2&vEtvtQwj!6zF`sv%ph=t9SmzVERz9k~*PjVtr
zWhjXYaGsVYR1JUm<42kkWWh66^v7t$|40pt4FjyTi>yPO@4Ph(H?{G47U$`sHonTH
zhc2{?>4{_XI5T}NG^HyN-pF-zkjF+WjvN_KKgJ?^R}x9RA%2K*v)Qh}+pNS#3ceMK
z7E&W~t35NO=)$~y=1Y?t?~|ubx1SbleNv6a(wow_)W+K6t_Kb`)#f9NeM?7HtBsK-
zG1bet!Gqtk(i0ty-yoSmratk7@0qB(%5};iP<bOh{AFd{4bk`qM~2#s`Q?)l&sSb=
zN;OHf`Po2xT%7WoQd=(6jqj;Yj<>yeOqYVJsX-}RoJ0%JBgbT48VL4Rwo--`b^h&(
z^ViczN34Qm5qPD7qG14WX!OJlk`w&DpG{3py>qc<6RmXQ$c7~)z9T!qgjlxh5xvM`
z>p?GOCWjV?4z2R9dGQ{!i=KCH=RBl1?k-*um1`5x;CvfyQ8RFEP{PK?Wv|2HjHP7H
z*}JOlNTpPty-1ExC*J4v?{Gn+u1Ap|ucTZa!Wswd?_Y)*q*S3pdTzxIv?U-VzL+Ld
zJShqNZnwW~eY5IYd!)-0+5GO|T8i83_98p6(|4PkFj5`D5!5P)wkhn7FxB`?THnWE
zEJu!1s2}?w>sClvT9=?m+``?QTVl56Pf5F1c2LDlShch|?sRUQER{;4obnm{Osg#E
zhKCwzpRcKXjxu`x_&ZXbmBZ|oJ~r0w;@^KjB_GAYXpVYU+t=90&o3!5G>RxnIEeDE
zjLwwOlA<~)wDAiLJlLur7>z4GM=fvT4Zl5d7PdX5NL!;LH)JH~v?KPm7KuS6)s&Zh
ziV}->S991LaQ$>z61L{3xvNM6Hc<Zbol2{Dnv4q`9h*)farVe<pHyCXy>;8q5P3$_
zM6(+X7sy`E5&J%4*_P%nBNs-)6{@?-RMp_NGlhe+g$7wtKXX|>J?Ujb);<<W*)aI(
zh0`7~qOkve?Ol63lxg3;5qc7uv`AtbPl-ZSB^gE;DQvb;S?5#9Dq~S&W*kOqWs*bX
zSQtD)tsH9%jWJr%$~h~?F-01OVRB}U&o$b8-uM0IdH;Am&wqRUHFMq9b^U(7@9%ic
z-1l{R^`5-C;q9J5&KrZ}9*p-5wcpJ~@Ar3;>ON5FXP5AiTxCOskCl^1r^>c3|I#F5
z#sBnBd#m9}xl%>X=9srGxdu)Z#e;iHiw>bt4hMQ5tCXjf4jt9?mVjnkAwyI}$|8}n
zj?76{T8F88n;MG723OP^0IXkcDNTQTvHJ1faQ%k^(;q)A!zn>bm#8e)j<*AVg@Z0Z
zbkW?;AS(_$uqgAh?ehOj$W)10I0IWHMjB41Pm6^gDu>bARQ$+;(%t5%6gyCaxn#7z
z530$jkgcEQN>@4=fW+qBsL(iv#c^?{1Zq4p`5(1WEkaYsBCWjt1HI<?HM!ttX=hPn
zTU7JYp;ZvfaFp$S=?BXV3~V1=UtJ!W)8k@k#eAr7^Re0zW6nP4kgtDB>A9|N^!%Si
zM#*unH5EvC$D^Cc%P#d!^Cn)$2kvx$G79{e`BJF6(tO1dKP=vbHQ(}S99DI-X(xmY
z#8f{~3VxRz_ij@?1VJN>W4XI7_1U2`lSo+_rKkGlrSfIMI+Qm%1y6t8SjgL4#Uu=N
z?lvh)QdR5@bO|uH5ANcFphMf12kE8S29<JFB`XeDV1EihvHe-wBq6AkaO9Wt^wURE
z98n)V`USAh(h$^$4Fna%%nSwUZrA|}n<<K3X=XE?GlqlyphIbC=u44Au%x=%Lp-l?
zoBqoh8%$Q_x<&<~P)F>IUDUwkI*Sge;OXcBNpggsYq}Tq!QlXuo*Pvt2upc~MglvA
zAa(VLozUbvaz>0Pm;}h@w}ZlU^6hoHM*6jhsJlDzCb1D4BLjLlxFEifRHG_7kl>y5
zx@=y-D-S#X{^g?6RVE6WY$vxC&wqU5>%6lJJk9|@LytfyL_cKOLo+?O!DIKW)+)Q-
z^?w-XfV?+xras76Z*ceArzZYc8K}fp93E~UBy*$$ghGpNJStA@o#}Af^Myz(Ftf?@
zG=gdQW{L9h6(zfk%$3B|Vh50qCG@-{^q#xMhx-?!r~J)N>4MIIQyK7mS3Q_S8LK<A
zRmT=4)v<YPz}DVNNMH|t!ThMwY!GV6-#`;0kw^ps8zVWjy&7Pu_by<d-<{u}4#nKx
zE<p%_($Y4FLHUn1WP+f*d%?CCwEdFO3^c1V07J<KJ3Fu+1?@ZZUrYRj#b0&-T;V_Q
zkqf(<&x+O-BF^n}(`YV-25ee>8NBI3E!c0^5OrjfwlrFqE!9YBML*n)-IXxbv1*wh
z4tgq^uUtISSA~ftel5l2G8V>3(|sp6TVgyu>aHA}(~yje>t`jMCR%d*H}b|+sv=F%
zCS-nAd3;PckpeA^dX2IIt}pVzuHZY@3VPJ?a1%xbN~{hqHxzjf1VJ(9R+-ed=@JSi
zxbebLh9-p<FEgkH(ON?7SlZZKTgGSm8&tLV3Py^wolxS#32jB1Y~1|HE3v9xgPDZv
zPljIW`Pp9D4vqX~q-P@O)lH5<4D%9xKyiN}7fIQ{BEI=v!K%W=;c}m{*Z0ZdweTbg
zwBzjbcnvp+WQ1yFO^#a*6xbDQcXD!?{}8X;(pNeSS36VKLn6?%xD9;FL4)=1>-XB*
z+nW~_LhJc+v?k0JQvw1W9Ws!lUcCqlA)*|VXnUTP_5~Un8^g3CKc8@?VS@%b3eHem
zlUiHPL^)aUiYv(}q&!Wm&Ml6!&R7_1UZn}Md1iW<a9AS=$EC0OhMb%8{CjV2FANqk
zVdos2)9bg8|7-Rgl6E++O_=kN?~4*Rpdw3B_}=kgmT+x;Jf4LcPojE8Enlc``|7tc
z>L{Tth{~*4Ez0!d^{%prUT0FJ%?L}ARVkLdfT>q%UV>g9YTT}RV~*U8#z<7;0eJG(
zy4{B#kjdoZVAyUoBhUKC^@WLKalt9>w~mgETIN`eALxx7UzljSXs>^_uK_<x=^w4V
zK6SrAPf0Agy;f9fnYvyQ&)oKIc9<H>y(uG)!LLtbdPT8w!(R|64@Qqiu6@3jh9-#C
z+2TtBK|UUZJpr1?XhHWxTPCX>H$Rr$gi$t~oSywXIx}GH94fNDi|;KzSH~tZ)L}&2
za1d2UbM}f_&b-CcddDQpl!^7>q8|F{XvFldaSFu4oR!LQ*D_J1Ynf*<iE)@y)3{Gd
z6Dt#NgELUoizg#*e188jt}WAuh##2sVOIIQ*1An9QPx7Nbs2dz2#S2D@i)Rp@oZ~6
zS)3UwuPk~~WS`k^jI+`xC%!bHEE~d~rHVsQf;JW1vym%+;=YWpPSZV!dhqEz%KB-b
zcSH@wVls&0aR8Ly3J`{#u1MR+V9@nb|8ENWr3nMYQtImkXTiaa#c7`EShs-m%YzDl
z^9Ss8^CpZ!*#d&NuV{(ggpvPFKNCLIis%ABDi&NIv%&l0z?`LTUw*_#o59J6B<EX9
z)%>;UgM1{IUk6rwS2=vL6wyUAD*Ah{epY(Kkgk&*a3ljsV*Pi`3RdJ}8bdylf>`)X
z#wA0TOR7b}GZqlyiy4=_5aDwp;m4Vi4@|D;J6CuLy=mMDyl6Eqnm1(>{vr?dHZxlN
z{fg~_uuYS){r7#<n{ff{vkt7}?8Qx3+5Wp@KL)!wbiy$DyRb5oqkbtC7qj#7h{xNi
z!}N+?SGd<zSM&sokkQ98+3QrtJWF9;TwEN6_u^eko*h-Z`*J@wTHOkna*(~bTcLdK
zt3#yu?yTVlQoBvre@oo|uhnbNyCtj7R4_zbov{yTZ>`y#xqN1^wy<P<ecb}UBcgMo
zxP7Fx^s}qyO8e$;W4CoZxiw{lPgxVLOWF`5S1LIdKzN80t#zRjmapb+pWw4i=-ocs
zo-dK)RO;2!A+=P4eeBI{^QcE3wW8NPsKDmyNI2n0T^MU<ZShp$Jf+t1ve*l;_C7Yk
zoY^%tHWsSZp@|pH#h+MS+#i|@(cinGx5iG&`(dug;YV_G4-wq06PoBj#%8ty$uZ!a
z)9G)J-><Ljg53)itPeiBQeo5V1cUkc`5}>w#k2atIeFoT*=waQFr$!@Go8mUR;GWh
zfw^Ye=!VgQYk8~-_->KhK@utLZJ}FaeCIMvdnt^qY5u2F`4#5lwNlI<74?)>YhHb<
ztui=*v*)xwFfjr8&Am-JttTAxXW8q~bJ+Ngc+nG+E1l;%$riNdy-^c*OXBqJPZ$r;
zFOYC0RC6|LJ{K6=VgrAUU!kC&K*Me!GWb4sg^0i$9V?^Sj2%s1^IigtozRwOO!Z$H
z8}gA0zD*a4`234VBSS+G?isfzZ4|?sIUi5shuTf8Y9zHdl99w{-;j{`(X_W>2fe68
z5GEo%nB=XuH_VzEKjbl$W#-uT#x$h}FDZ}I<$9D`Mmo2Cs5Nu+{<-$nj`)aS-_Yc4
zB@>+e!J@--UR_Us`!FX0PbOCK@IU<U0~~&o{`IvFz3i?$acmz00ghbZqMFs%Y&I*A
z#Bz0a7sRIOI*u-Ko^=^wD`(L&;mEDEdA13E+BpiT9%gRx^Y|ykP1u+QT5~SwPOI5T
z^G)@8YwGKB^waH7D0ezx`4)WG^jU3f7PdMiT~C-T>MXHbej*l(gmp#f!IQh%+XdHA
zf|av1$Spvg*h%)eiT^9lv_zi6b^jxeRPc$8t}ez7SU5%?cCuT|H4mRtcD7{nE*0|p
zhwb!|*z3zztuiiiSF3Y@M%qfw<`UpVOA4_0^?^8D9D`r5S?GSz<`}jUw*TmO5Ps`F
zv=h4fFP~47Na8z$d3xiET}V1K^^P9F-6_?8QL+UtPNjXLfjq>s!CR_oYV3y%;YIz5
z-|7iNP$)8+Skymk7#qE6eU4X`m=Mar^39}WuhbjdKCuM4UR+DKK7!@rrDZ7--_Lx(
z>dEQXLDW1Q8-H-8ST2$%DxYmwObU)1f4#W4=nVHg-nD2An-_F6I6pZ*_hu1+wqtP@
zr&DPQH%|ZwVubD*vIs0~LGvcuWHjUT*Svz5D32|&78u$B;wJom3DG@XbD--Uym!w;
zMoC(<x$jJgE{OfhB+|sh1Z&z}XF<^XMl7m`zQ))D@Q<5h-`8)h3QM+{s@pK#f^AVA
zC*#a8ohtkH{$ab4Z}-Nwf6j2Xn_`tm3f61S7;|20MLbo7At?(?*1*&Xupvf-#7(G!
zU23YT)oE`XZBUn7R<g~RqQ{fr$fXE=VY`|1(of(wovprz!=JGJ+g^9zr3>4RJUTWq
zteP73^Xz7v{oIohGQk*5CXuX5KxnL+XJ;CE@CHebQOy;=HAJ?%h@#I;$}CGHQfv!G
zG<<#^t31bCTTDYADOyr?BqQ*>p;~H&?#EPMpai)B>WJ_cf-b!>peO1utK$z3wFZEy
z@dwJ}dQ3Z2)II36D;ifL{tQbR^*Y|b1H<|Pm$N|_jp8j$#aphoI)X!CuH<zTmy~F?
zE(&H~^V+~)k@P|CMg4TfSFpU_77>AzA>c?xtdCc1ONxuhW?-t(yP0L}9E%9-)J=J<
ztZRogQa<5D=_Fjy#nLDqXYg4+Z!OOS2LdLhhB0hr8{_$-f!-~trC4LCb?jvJkL1SR
zrdNipKAqhy30s;z2TUDiigQ!}zzS-Hi2G>XFf8O7cm{kdTxU!{;?~-*do0eX7Gbg=
z7VyuoZH|Y9gpQ|@<+X6$)qp0*Lh?FeAk138jCaC7wlxnCN-re-%I;q-)qcUW1c|^D
zB!U9gc#tW7V3s#10Vs;;9+5<$PmI=N<>>sotoq-%MjH{!4_AQqm7GkSl~6cia~4&8
I()*`>0t9@NTL1t6

diff --git a/articles/prior_pred_checks_files/figure-html/unnamed-chunk-9-1.png b/articles/prior_pred_checks_files/figure-html/unnamed-chunk-9-1.png
index 046e929103f0adbf71a806529dd4ed371fcd58db..5364e14bd6d11cf40e07ba66902c9151d09dcc6b 100644
GIT binary patch
literal 85544
zcmeEt^;Z>6^zEfVN>Wl31f=uQrGhjF(hZlsbayHO(%m5?Eg&EbBHaxl-Q8Vp_<Y~{
z58nIj-L+h-rNYddIcM*E_8CGxC`e*IA$tOWK(M8y#FZfs6gLP2$q*eC{EaT+m>&3o
zY9uQu4!(lV)w>2?@CCz8O4AVnq5Sgr2O)Cp$OHm;0g)DeqvDpfJLm4DW9I&FH{?CY
zto6RnJd+EionX>)vp+4}Xu3ckMPVh)Lno&3<mb=0Alk*_A3RZhFbk_RZVZg5Pn0Q$
zd5Y4qOOpOhD1Xu3K4~MH`4dHDY;WYb?sHEP&h2339=qNj)_gG4$2P>zwXqrVY;Hqm
zqq!VY{QrOcuSOuBd&Lz({ZXDe+PvGC^CoiUPK+_Wz9-QStkN6SsfC9Z-IG_Lmir6&
z7Dwz=<dKjquH9#j_1?C&wueK(tezjX3(X4%FCjxG&k=37J2xMe8A3aZ63Jj9DB@#V
zP8a@2X!lbGN#f!%!JS&}A>!0Z$vwsi2ynlXaE_DG>gQ3YKBlGK<IZzm&i7_7kXo<F
zN`j@1#x$6^h$6elxsv;348l1~iP))v5q%*(Mq%!&hfD35KHG%_5%OtY)8Za?&mSWG
z8%YoIPighRiC_j|&n2Z;q0}pU`=OKjHj)$UEEM!_s_4|z1ro4Q3PrkDQsjHm%Pfv{
zyeVh(T;;+d6-L#K`h7Z>oEcs0Rr7{>BrSdjYRd`{9)l?ve9cWuTU)TC8ZDedpSQEI
zU+X49gPDgWUPhHt#Ov3XmS;irxp$j^UH3_2?G<Ht+;dvDJoDYzS~e6R^jomHVarPN
zGQ02nZPbSQK@W&<Nj2(l3pQRfS8j!x!tybQqp+gL)#{kB*>=9~-H!ePb-au&rWb*R
zW$E40@mgQteGmh+awGR-uk<ak20u6VX-?O3&s}r_+~-1<{lmk<i4<LR2A5p59Yz(h
z-eF2IQTao%92JEsmR}d%NZGqzZx!fcHd6kwF*n~VK61O2fmaKth_7N<l*ALb3&qRa
z&0)+}MXWRm$M)!0mhMfr_&)UceZeG63zotd(O_C}S7eO$xOcM!XFAXq8uCQ_jxhiB
ze5t6LVFXJLkHKX@&|y_dn=$_SNzn~GH8m$gNi}Zx#r;>d=1cK;Gib4tI9SY>Gg(sc
zI9eZx1ZFDd!>z2q9jGoIss+A_w*~eT50AmDP-Q#U+4)P~tB~N}Zc;wG#a4o}#xG$=
zPDmPXsHeKZSNukY8l9mN9LfW1SU*c(U|{V=jquP8y|$IeLKFCI)1i|Lnptk94UoSn
zE{!LhD@X6)d-AP)-7e`^kd_~lKF=-%yX@~R?CcI}>xSs@L)^f1FTjjE_ZAlyz3cX_
zPBy+|_*`$9b$xx9wk<C$wJzJKPc-FB{u;(1+vC!5%W_yg`FH4Z`_j<eabk<t5^`4}
zbm+tdav<c=Qhna=?%g}`FQO+?VhbEpS1ye4qa`o!qAR#3Ela#Z-bPkufB4R2>-cY`
znVOpR`yz}bZQiZ8Vv_1Jg)OXNnz$9^ezATZZIIb0x#;wj9^IcXQZ6IO2nuNg4Y(}{
z8QJyk5E1gou7ldiGO0Y}6F$?PrVV#nR2RgXkA*6`(=hNe1YrHO{*t3xr&LrRe9|w*
z{{H>DTfd(fT{_Xb)cytjU%pgyd1koA?c(;U7bq9Dh`jLvfpLNOX2|4;cr*^VWw=rv
z(k|jo{v~f;IuyNsJZ42<Ap`!C&t<6lC^)1rH5?qA`(1Hg;*1S%;%Td}I$t|GyIFe?
zBaj(K;$4}H@V$hidj&dKX5t-arw}_u`x=PLLbtDIv=leU0)2AWy%qSDi^4Rn=aKp*
zrFUdv0_hph+gB>$xw{r66B?dEu^f{bi#v@ABqywkzTkMz>`r&7pW!ixd?tf0?RIL1
zSAXUWSt;Fd&yYONZY%9fVngKJ5S4nyPgK;#M6j&hay{|19i=s#<3M<1gN%&Kvb5T}
zGfA7@M|h$?B*NO(ww%4w3)3!wf`8O;vDN<pWz<g?<eRN>;kdpAT+}({gQD9#1$<9h
zG<Jn=koIx^6h7Z99^)qmGFFZ*wvOa`^`wvO{q0ruN8tqw<e~G#6~5+MeJXHKScm9-
z9P1~0dwXZ@wyAP-CsEbsXdqoZZ-W)ZbK}haJK|>&_{x!64#zsNpB$YdRAxU^Dw*+*
z1||XLyk!Z?kC5lK1R;N@hfYS@d#>sIr$}Ku*f=;g$`0y-pJceZ#XUsr7=Exnk94Ix
zz|c1_F^Q}`mohO~n^L$~{enxCf%XZK;jvw~;*$Pza-Xx4;vi(nc)At<wJ-lX`OU?_
zL&4I1Vz{E{-6`s#xNf0hXTEab+y0-fD@T_mlYi9_$q`^-SF>R2c{!4iK0Ad486M~2
zXdW50{aUj^+}uu$WN*$tKhxVR{Qi9!ZJa{H>++<v!|zP!K(&=@%6a9xdrEM3;i!h7
z9BePR=Q$i{@~>p~AYp^e!~LBofBQ*ra9pS~B|LkxbJl?jo-N)v>wR;6M?X_BaU@jU
zrgg))IF_*?9N%N?adEKl5Ls~L-A7nJ+Q?}LF6hE95Hk5!lz&hXT#!DZtI+-BN<ouQ
zyM0>p40Xmv)3RIU3_vj4kA-pk^D!eKaWZ+$LV7H;m7?R0&k+0QxDu+?+~-H#gzmZE
zdkc_MKf0_Dt%eDblMVy+OF3rZhM|+jlho8y8c1Iv8?HwNZ`Vm<Q!6ZDWjtf^w&iB-
z;NBpt&c*HIw+8b$+0aQolB-~Z<6X1&jSuh4LQb$$-LQsWQ0HI6SiVW{&--X<2)ud9
zh2?2W?tlS1jU%f+2(4K2hgW~7T(PE$m!YH}Bm0}GP_Th$-(~;&Ovv_xG)*?2oz~5S
z+Qg5ty?kN#?_aI-2UDTv`Y1mkcV-U9kD($Vp_so7+i+h1AzucJ>K=5I5r2Mu9;(4S
zx#K>cC_Ho%zv0g2k>SdBfvJIGP+BU|Q+R9KO+3Wg3iTJudKoXnU!lQ_+z;(+#OC9>
zUA@c<Y+K~Y*qF)A&Ten@MJlhD^vNnM-RoQNjs^r}OAZskV86X_4d=jpqyby{i&+9Z
z20=17bn^MstFY>b4R_qA(n2?9ARRWahG?jjE$N&~J};Bm_8FIa9;LLEqyUhF0k<xz
z`-?<LN$G6nsgNuXw-}G1s-$!zw(tDn>93a$!tlKYzXK31`k}+qWI4L3xTO@SR`=Eg
z6VBuf0C2Ui3XO$|zyo9HSNNE?R3ct>zq+qo{nrXria6tCK0CDdQ4vumRGE}|`!dFF
z%j7BRdmi`DXQJ-HB86RE0j3)QK;NZYs8U?*vUVtTa(QU@04u%o+o?YS=XMo6pN2^)
zoI5izF)bkOlF!RQx;)8Psj2C+E7V|nA##fvaH9$h(P3Cv9RRRH+rdL20Ob}jU0SbW
zj%w06wO;oeozrqA_XoDK&At1Aqbsbm5r14j*2tNi;kF#I;F)njn$@LsBeM9>&l(Pg
zqn07F@~560EVMi@ELKiVPU3Xg^N_>l(f@>Vko#em?c{@c%*4gP@k!$<ftrQcmk1wa
zXKbi~Xi!0jS|vd>Sa;o|RrA35H4{lwc5QN80L4$nQe=<<7{Z(Jzne27YhQ^Jy*C1R
zJw<Y|zmznObK8-ep(t)#1j<tewx>Y=o%G1Kc)obn+5s@?!7l#@RA&(=TEpY6Sq7fT
zw-^z%T?9B^&?27?s2$o-nDHOBUP=ZVTcDQ9@pajYaNat2FcWL@G#*T}Qh^<P`uFPb
zszX3PaRI7)s;;5DlwD+B)Pmby2-)8B{1zG^pZr@COW}z(^X4gh&%5CH87b42O%Bj-
zM(2l+%cdn=TU$6>d&^9YnmP|`@za=wAT#mTIXM@L<2=Cg2azW}2Zu4b7gql%G=QW_
zC0&3MM3VYFXU#IbdD1<tOR*LI@S9i;W9cQ^-JI{;l!JN)TS5ATGL6_sa0!WeezC~K
z4x|*5fuyJBO&3U}Tc#{xHzvDAE&DJ2SseN6$OVpmHAl@E9Qj-quef7-Ze7xb<o|>#
zzHA6rNLlMkMEfEbJs&TVr?=rgf8nPZvEns%(zpfo_bVMHA-;OaJsIJp0NeW!LIM{a
zY9O12l{R^S>k&^MrL5%rOHFN3It(<x<f8_lHxrl#m!P{?0KUC?C0&#Ri)T#_5GCww
zU}B{jp`vK+?leH-=MY#wc7?|7o|rsPE<08H7Sz$xi|+GFU^`S7`OAqdw`&h5=Qy^{
zFBWR5&*|G+hJ@#DN<keLJnfY#rG?3zV2Hr{R(!$>&B0c3#C{YNZOe<%r7P$oQ6P}{
zH+W+!i05)YlCWUsOhh#hi#m(N5i2^6qBFcFTunUpm0Yg|rkN-psk5Qvh}y}&5IbS|
zo_78SE@fBV*dBACgpc{i<#JD^oLi)7ZeDjL;X?E&%Q&2B0s!ska}D0eLQ1MVBQNq-
z`04`IreY{dI_-2XDCsd@P~iA}9XZ&O@4Ar_dcJ_3W+mMp2hK*e$dW9#KH5d)dn@6G
zgobn5snuX|Ns|g<I@y9QAubc!sTE$$Zzc%Rm=_cmCE(MOwcGuzu6xc-FU#W=8ayDs
zLqMoI{*zk-cDCf<9Y*E+BdH)TES*U$Wb^-^LOI&2aj)B$VvQD>y}$VB)>(tp=2P0J
znY<6*a98K$<&_L_O$H@OJajUTse>-W$<00P8vwh2-1vjP5{cW917b^S&wbvrr265H
zIq$%V$8re0k8M~TYAeZ!2l%eB;o%RMGiziZs6Zo4kv?ZGsLapLCtJi@+<T;Ci+j)Z
zjw4at#;ZfSc0@cpeu+nP{rxGdnsvsMtB&>;eX;**YEBcmb#MV9k1C-tq`nr~xqBpZ
zKm*#UK|2N3Xekw-dYN>m?x<cEmo|YW<*sMdi(a{`_Zw;`VZkHBOgZ}^U;&8bTXDKS
z6*}P8^H{MnzP$JhGVcKi@LwuGw_vL`m$YJ-GvqP!eh*V5jt>AfTf#1?QvfYyf7mRY
z{5v4VJL7+p3U227?&jj*&q-q@Qu-AKXr_iMHbS~qFyMQckSR!&pP4^UR1cHRbH)Pc
z_un|y(;821L4PwK{|X;FS<dv~@IKM21&}MYzEoU^n^3dI<+tCog61ZEP6Fu>&jFC|
z1CEVtTI_Dhbo`^`d1fb{gV#Qw<8U0=!>;qtt93I6fF?Zlgfb+UkUqSc49?$I;qoZU
z3Nn4Je+s4okqe1c2~-x(O_KW!<Q4m4;KD-4fV>hn5lGiVC_x$I?d+$$an(Z*Lb*jd
ztOhcmL;r4D{T<2;s>J`*PW%7K56g|}f0fZd>2`9s<BG_p(5pV<qlhAjGv{ZrB`vx$
zP0zpW^%-s9uunP!947ZrM8-v^1@qE269(jT>NO4Wz#3oLJJha35(-X@d+ffctA6s#
zb6Qk9esWu6Q-lYI(6S>lCz18+gv8&O(7f$WnfAM}BpX%#9)cDK**WnT@MDt~g>f(U
z4|m8GXF`OVpr^F8Fn7_#^!2udj%mf?+0%DkcPz27Zp5I;3*%mds3ZFBI5Jar!1^-y
ze{Izo&LFP*d-`k=?}u-oeXP)7eG3}w4o6B{p(m%+W3jze@D^JlKW@);+>!ehkGb6c
zqlc6`a-SK;pycK0j<3MXQi#;i>jC708r|^RbTq%dV^=htFZohY+fji#d=v_1ZtI_O
zZWlHpV+JWMuH8i^eZr&+{1lt_uQ0wUf`Hh?EfV$An%FX}cYk4Tj9K}IrT$sRl1Ya#
zkQHIdAnYZKi$Y#I0_#D*i@QBKY|WhR9UYR(CFiJpt25S{si#h9y9YMsu2UQ&FOVqs
zE%}|e2e{ZM)`pk*k5+!3OB&3#nay8b#GaeIq$XHX0($4|j&w#~MJ8JQ+JQ|Na$z~v
zGKt&0T}t54^QDd)Hc~kAp~dLBTB!kXGMNlpTf^C4vc`qBhUuD1^<<DnTyWI)@>XZP
zYnD8&gaskTBzoTqL`5Oz;0>ID$h+>Rlk>gN>z-Ht!r9zEg0lrPv@ykuO|_uFul>z!
z5?5Nof@Dm2)bNXOKaw(A#Rt8U9Nm5JJ{LGmY!UtweOeKVvzsVoHvcEkR)L6{9gm+f
z@*8qFp|b6<3CWEnvtf6H$q5XP*bT3!eLpEuYq9k}e|4k9J)<jAfZN3(bxDG`)^XY=
zYUpkRxx9!t+DKUoV}9Un%x*vwX$&EtZ0T0>%!x-m{n*ur<@VZ@?NGnajO6-m3AS*H
z7vW8b+qk7aB%lV|rr#d|)QxY1i714BV)hj~Ht2M*4}JadT2J0&nDSsVfInsM@MM8v
zSrjdEDfwAvKf`5<hRr&c?QNQVMM(Fr=Mort3~?E&reSy7?ZqFyslH)NBB0eG657gU
zqmVwy3>-Qd8?U0EYzTFK3ZL&Z(|d^OMGA>47?nPpcXGuBriHKpf|&F4TIE%E!Rfnw
z@$-j!37^wq(H{@EF#INqAGJpfr#KTEM0nBoS%B%RXGV4PX+8Ha#2Q8VQwBXO84*QL
zU5t{kZk;wYpL-tT!pu&!PB5qkGf#S^D390#@c1Jnl>*eCWZN#vFzX}e_*q~ZvToYE
z+RV_~UcYL$cwFnSYC$M7eOYi@iQ>d`-?u%Ip4k+S;mN%dzKHeY;qq5cQiXlBAc``b
zVK22FUB8-oc6Ao3_1|^aSA7&Z?6t#BZ(nN1Vh*y};DJvvck02Zl;DCPUmYB)Bt^4p
z?Ibmnrw(%_uLg4&&qiZ1R9&CrI;g_8ze<uS+tsYpcLZ24Y&`UdM(#;Vt2Ul6lxIU0
z0(+~h#ybP$sg!H=9V|b`KOHap73;hgY`V+LGJE0iZABvYH12&sEpHvR8;Wt_tS)DH
z^xs|#ElV>4Qy48TGu*`gSx@Si)w7ri(Ok1d(;u<?W15eMsGz=(K@xFeZNMt_+TfR$
z4-Mu@bdPQhkAG1+Ya*Mu@m1L0k)-fC62yn@gr?GFRA4cEu7b`4z*`Vi5Zum)tafc$
z`TN4;Kfdao_?oIYMU+R)XR17_&3>CU@6YRal2Mh)Pfsn8eM!(bdo$}7xxu48RFcDw
zPqyL5Mc{;8EV%v4@(n@sVRu;M6D-e7d7seK3l;gxXG9=$(PL9wPdoA-aNa!=lNeqr
z`aA$LYfnH&Voq0U?{Fl?2;;%j3vj$tx<3Eog(WX8{={&sot5<F1v_?DGiR%WV@{X#
z3tu{{;R)rAa3-y!16A02#aZ;-)w)x~EomFmu88F!+>mYzq6gnansuJ6=P&TExoS&2
zlv{MPb(0d=;HIV@P44$aG87-EYUcSJm0NxVgHPDOak?Qz^B=pdve2ydcuaDO@2q<m
zQe0$=zZ?v?mKM8J=J}^{9$F`jzn1%l1b44Kq4dK2fmd0q#F{ZB)t!E+BH!)ISDTZu
zlUNfI9CWg<{bzdU_+-+zfX%%Lzll1p@Ylo2`Kuv>YY1WlDBF<$<~qzeoM$e)cJn13
z@1Lh=5=YzniYq>J_C$(3UZGwu**E`J31?Bd{?0Y>u3x1c<)fIMac{8XKplUalNa?c
zQ7h-yV3nZR3|N<CQs$L8IKaE7)KPv}`4A)yh@LNf*A1@D+}L1wcw_s(G<|xAJkdcI
z{r2@fa(M;SV3ST<@Q05|t(k17>m5aPmWEua+0ml;s9{&cO-SWzIxncf2T^QcU-b7O
zV>gdVgPj76eC&t%K1J+_H)R^bQhe-QcNUsY+Sn?$mX5FAONi&!13p=?6Kx-x25@G|
zt(LKx6%re)c37FmVzuidt?Z7FgoYt}28*|O%0St1LsiXI=f7m~B>v?WiKAdP!=K|p
zzig!8J{!`{q()~SFnD%f&!6`{ZeuOi)c`s<A3duhT(v(<n{SenEzq5Jasog8i-{o|
zud<?#7tQJLsxfw{z5(n`t>&3eMG%51RNelrl9;FQ)d+muVAssOacyB!T2Je6QGE3$
zp>4p_U)MD~R)z7WNuS8L3yK(5?bd$N31}bRlqA<incs&d^n-#8maEM0e|`A$DI{r5
zx#KoT6!!r$FOTjIiX+)^QEYPRrfl;>SCqK8@wZbteN-zHJIeOX{SbJO3mpY))2eJa
z$fOjM5{dS8cO^Qk<;_B?`qm7zz4nEKu}(+w;@)gE)-Uud&P{f+81mxuCsQ0&Nt7mQ
zVU1p8P<64x%$XXqdf({BZNzcG+1F!Ro&3yIqfP{OFh>*HY{$qMHRhCf>)Rd3g^`|J
zJ&O(wPOE0|OljR8v@T0h(&nyS4fod^h;Q`L#3XMZ?;PB$)(N-wkyCsquKp&Tdr4>(
z@a&|ZPW_}wYW|ozlT<^fGzfEpdzCF&TT0;Wod=rQ4OuE!TZ(^M-Ui7N$vAaCq6vq|
z_XHMw+k=A>ga)k>6VLs`pPVj+DF#XlMenFoswctb`|7nxY1*uk;%j!!{rBwatRAtr
zb|)D{_6jelQPjLJ=2<+oE7sq4>-`xDzY_Jl(BMjCtaDHzh^L{9uxLAc-Gn6U(@6{N
zU0JO%q(8lGK$UCfdwGfx%Tp}yQzd2hq(p<?k8XXLaFQ3#MLxsUL2|(~KB0sQ?r=!l
z_K$L~FBGo_nOOImfA97!{$dt+PosTab4`>Q9H#1pp|{a3FZQ%jG3>nn`m^M9so<Ri
z?y(QTjd8#6QAOm3TG7T$ltJ;WT4}x$XnOV?C28`hsSRG--f^IykYk;ZlS3P00GjCP
zV;k*|QnR2GNt-;YBa(BTlyBNm407n`-}}K-)vj)8GML&Tg;I}9G_{gWNVk>IDYS0D
zD6J{ATwvGX?3*d5kBEKl#@NhSug~(H+X`N}Akx8M#jY2{ezK6?2w$qxM;Me`FT{)9
zv645O++$(+$_(u@d11={aG#3~Z9x?3<{4$~9K~AUWM?B@3Pq9s6i9>QK)-dGV<p>p
z2Y@q_rR~OTM<5F+ivj-|gYqrY5YP+X>adxm$5#)ULqA-9v65#!WMX}U<d}(Cdermt
zf9u;30!454-6Z8Oj;;@<;R^JQYyjYIzk+##LQjJKnSnm$OeGrJ?3t@Y(9zF{&vhP3
zm;gDPM&(A&52l^e12gSI<eWR=7pogNFDi?xowl9H4J15So;gKYTyvy`-97U_yZ#T>
z#dA-m`xUZq477d*%nal?>hjGb$d_kVo4VnD%1fqMFP|9D0dmW_r2z3uQ{4dVm}RgU
z%3auI$%H!UBP7SSMaPW_z5UXXb$v*E&yaz9FyL9_Kp8`cW(tj;|Li5{NIS)Blb>&t
z8=*jCC)#x9T6I>lT*mwIF|)8dV%68mFp$dHuhN}A)^oR4P{5{#=fs97>%v;n=2yw@
z!lcE;JMC9LyCPM+OeN73ayhf@DJsUYn+c!`*zbPP<Uib|cu5-Dt)eD`F~7m3j)3Q9
zaTb3C)s>NX=NtvHifYVo^q+YCHHQak!VPiKV<A<{dT2wZ@Bgibl0wCQ=Z*N~M_Drd
zvs(5Xw?4&ox*>`L72KMjd(w6<VdJ>B`?~C7N?pW?MG1~WTUyZV#*gv>*Tr~xk+<S>
zvPZAnO1&laP0VE1+%lOxmc(k>SBsLJ`Eoux*K>GfHm{aiO=k=KN4GGOq6JL3FIJ*K
zR~7hhv5#Wu@~TeU;W}LEMptoV91`N8-4T>H5i^*`koBLcBU;)%L|FL}Od9--{qMS7
zH8pHp5k+>Zs8V3e%irNGKIvxdNaZm-hlg+iuY75{Lw-CW!3y1A?<Tm`E0YE3>n#>&
z0mO5^8>fyn6G4#R0<yIT@^47^eAT#HdItFaq&^rmz61Zk@42lvOOhi((OaC2F!_Ll
zcnQ5vq}cAblohy@cNv^gyTNf0%Tk9y=}dl4{I;-{Zr_{Gmh<B;o5*S>jq&6oA2?7v
z&*8oDxf><`8C-!1kHs2tNSRWT|Csxee3<YppSgyhU`lOQV`B5%S8q&^z?C%@wT63=
z4yhY1;{*<0Y3?`~uu67{=<!{?xK4kj5IIHAhv6q1g|5(tRkIB>rOjykT_cU4-z1xK
znsl7Gr7M#3S;T|futrc^vw7UG9dU_(h4J*y=xPl$kv@<*XpHFXxQf%lKtk_NMz8;Q
zW3{g5%<&BGXhz8q?E~6O=Ga=&2A>+=;*V^>^5^ACrB<XG2LMSvhCE=*_qhi7Gtr~$
zS^S^300=r=QNalZpC-k*`?349lE}%qQfmqNdAG>jlIGJfT8ti#eIzj?M%Zo*FmlgC
zq|XAsWdD0#DzpRtw_?-Skej%8{?GY)*&kM@=zKvZrW5b3n3bQaYg-3Pgrxk-Z(GV(
zib<p9?7406h(P6q;6ch+<%U@fGQHkRJ@yqkP2ZEvRp&?F_0gf<;x_eY2gT0+N5?~l
zZ<q%l74_`t18bsv7T-{Gzc^RzNV;mAumXL14Tz|luzKrUCXBS(nl)ALo&0CPc{~%d
znbVY8oi4ez>w!L<G@PoJnTyc#?SFlw;cJ3`1WK!C{x)v(m(Z{a$mWslelbVCeJ0#c
ze)wOIqot=}h0xq6{a}l?gN0mRP4_dRtKvV1$R#q+;9x?n@5{u@RS?jZ5dVQIxQNf#
zQ?_51nfv67^NyqnEdYkjN6sW@oP?;a)#UTar6aQ$+Zq#h&{%0rzLgwHnqjQsNS55B
zyd?9!OZVvjVwjrKf=77QNQyIURF@?3gFfjY|MyWB1<$!nIgUQ+w`dD%w&K*(AG>RG
zbz52L2B7I@aY_%DW21x^5iApaP1@M&5_E|z81wVOj{c;O@aPw+*@e|kFAD(px22($
z>A1<wp#FLS_jzl3d}q~EdM)1d6#ztB+Hf0hfG+A&j0Wa(o-<Q^`JY+v$1HByNoSmR
zL9L8F8Rc^A|5VIX8(LcZ(G#zu(gHdjF7j({z5AuG6JfHr&(LC%(1oQ3DX+SqYDN81
zHtoOtb(CkH5NRT>-x@4P<X^XJ$?Ay;?L2k~xlY#2V@M)VvqG+F-ab8y{Fr*WN$wTV
zK0F9I`yUHY@uH<Ct8R!|B_K<F?fiSyB513kQye9GB|{6&m`$#%r%cbI9X4D8E-L>O
z{~=@=vZIdR=)Wkcvv+5jv!1we-pn`L+t`x#3Cx(Q^2Snnq}APD{)!MNgo}(RIeVuS
zqq?$*r@SyyS88(+G$F63l?OdsCyjRZ>INMD!ZFZJhw-yYS%qpug!c7#goU7qHecm9
zAAGj|H5NS4Kzr&ynL^VROTk{Pf~-5~GU>SYjX0(Aenuyt=Qb(h{-R>br8*fHB+;Xz
zsf|x|u^|XkON|i%Ei{aRZ>E0OSQQ4j{&2o{(y|OZ6gbbN$P3hAErM^w@)JZSrD;lu
z`Vo#qO9k_*W<u0!y)DQGCz4YfI+=9Ou~$e`pYvs`r@WYAwJ?-7^S=Ms`n2<(%=hK4
z(=&aZ`J=}gkyy!ZfVbkT@~F#|XA6{s2*tisduBSnS;CMgw=M$x1sX^L;X7IO^8rX_
z>s9*M>naYl*9HJ1=i7DQBCYGj4Ymj&aSRXmjiiqD`zDPdyV@jqtq{k*MKf_sv+PAk
z@MZ<uW5?5dxl6(fkU8Cj?n|F>5yxK48hU0FXez{7n0Qh`iD<BG*6mM+aj4qC8QBC~
z_()=n`N}yLz7BsVjqmB=%BhG+mZ!mtDz@LVIeUhmtZ`54mTraM@FCzrMHQLyF{o$D
z>o8OtPbB2~)QtPuN<+!TPxRnv0p5|U?Xg$b6;1b`gO;FR5s^+TGXP3g2}w@@jr%l~
zhM_a)YrJTOBey>JR!hI4sJ`PZs0f<MKcJ2hTNtmDJz{5X!z6S6UB)iXrC7C9qG#n(
zM~PO6DZGKpKZ>#{OH*B+t}XP=e+rFf`ZJ>~okN!(gTy<hffYC1K&k*`4V5$>XD$dZ
zFUGED{kqCSDYrhqq(=gTSw7F6Rp)W^e`+S6jI21kfOE6b($xCCEVAlKVW`|qyf<7_
z)Sojsye=`N$<veqra=<<!$K32i~Pj1bmlYPy5K3!KgETNBwK_~5ZzS@{!@`G@~kq>
z*3qqMdVVpw(NNOraaA0}@9a)TI@j&@??LV^2lz)qupvj+PXx#&9&S~fs#RixBUb&k
z?dOC+^>T9DN*|IrzS+-HFF-z+`Hs_|!&mFyx6Z4q&7UtVO~rG^<q=!^Jv#_2cuA*?
zzc>V8|53&y(>l_m^Ad%kJ*X_`wo}yB6n-2)Km|k${dg6eGDsca7w9Gj1;#b^2uU@@
zNNG1CZvAy7hFY2Ku%vT!Ky<6abUt*(Ev7#WF-MtVvo-;(|7~hM`ZTWn>agOL?EH6n
z7)V&<54;D3zkB|59YQzWvb}}NcW-3n=Yu4d&0m}N(m(Av<0IMRix(0cmnDz;g?(`U
z-}<sRb~PivyB4)!;sn>udsmVZjGDdVeSLB2wd_NTdFvj&VT=#@L|L4<0#JeuXDr!*
z3A^^=gj<|=2v^1VOOM!xFU_l{nZE&#MHjBuo$4c0z4V-`^$L>Vy0qB(sYOOZQyp1g
z&v%O<x&qRdzb()fZT)S{>hQAo>MOMFBd1z5u2MteN`02CQ}5mB?A54l&DXcSSvgkS
zO{d!`{05xjzY$o|##-YsQ;*q}5!4L#YPTpa>6-4C?m{0mO1@w7eV?BwB0K72F?Zkr
z1sac&guR0+B*^-dw*2BTeU&S$)t})UfPQMLq-)}riz!ygp4AHqimQ{^)}hpebu%gI
zys|?Kz4q&WeH!TroAUV@x=A|;KYuhc$vC^odC$wX-ulh^m;d0e8!vxM-&{G9hOY~$
zvpNE$LF>U~H=%ESGIsZpy34{!=W;q5!L7ouEzEEe*jslK7~@lgWK~~&fu@f%3a{Ut
z?rE)Si&4`)t_PRIZ?vwy_UD_ynrYkUTq^|*lq4VfdigDx&Q19#T}ug7?jwnDl)R+)
zMJ~rACMzFIJEoG7ox~h0c}zeMZg<LhX89D4RC1_QK1w%S2hZuTmAv0ri|e;4$t|vC
ztR?*;fLmFp@60AXC}#Md%fs&UrbaJ(`+zuNhlIG3#!4^Q`VaAwRsHr^c*P*>6vs<G
zj~pCvwd5415utAaz^&msSHe;Q7FJY^1y#|%9sg38HfQcU^aJtn7}S7$#=Z^%Krgr*
zna)RRw)8K;W1CTuY+``U81)euREW+CM)4+B^(^@VMFYy(M=hXMdNZAsTU~S>bx-<n
zH+Ou+L-YU=@mm91j(r_8FYc7p+pK!I)Ju?!fg-9o!`-gwn&Q5eU~%!#Xy`A0g#T$a
zG-2c^eVR||gTi4{sJ3|pz6~I+<MQ8%x@e_(j^tlAG(V}s>B~1GXzDW?kMKsc7$BM<
zYwBSe^W1p*@Qv`XTe3gNVB|c{*75!g`fE_<H<a;VFc(K6E=dBSc;J}-a#yr#gn<l;
zoA)Pg)5Dw*Uj-mPWAc<UJB9k?U~;nh`R^ozn%$HGP%U`{KQQ!Q?+F^KWe$l0hr7e(
z)zp4Yt-Dsd5{#;QcyrL&^a%6Bj}0PW%LXSE+B(9x%C9t0rlQnEBeP1~#p3sU`K7Bf
zIknfMF~L$J(<xR6W0|u;1x*p%)9Y)T{=|Q%`_213H#hk*VLR3y%FGU-PZAgR<}|;W
zZ~#-57Jt&A$q3(xGU1iwbmO<ZX|g6%H(F$$_xcYwHuE2$gBIXcjTyIP=h4rrArTzF
z(BP}ViX$wvYc-tP4H}{BZ2bC&_iWU7(MAT?q^ZbcFSU&v6y)kUrA-Xxc7c2QK4#Og
zM}>X@S!H#c&<?e{LEz%-ucfMQt;U+=X|s_8`Bwtyubj_zj1}umLW%bnO+Cf8VUL0#
zRBA{JZE}CWnl)4Doou+8Wqb^f!(O(z7IlHK?qa(A62>w+@-_&1I5R=nJEl``B^iWI
zNI1{>El9K@Yh4$iB0;Z|Il*bGbFe41R5P+SKO^BV&B7lwO8NkdZm%Zrj;!ep*Cesz
zkwxRGx0ap;q4{h1xp|{}#Rr5%Yi4BP$#RyX+b@Wo8hJwsS~Odpg)M{zht%S~@Is~b
z;Q)(>Pa1R43&`XDq!l0VAE@yeuu;<5;DbX=%6D_4N|Y`$!<1_&5(C`tk3DUY$a|(U
zM-v<8YZt-s{^&0SQbE)ZRe~r0_CVVU#Zl6%EW)ETKPIS;@!F-AzX21tG$?XflNjL(
zJt|Y1R2eS9zl}AP0uJ(GEQVoM6itHgyKtG@Uqp0m+6&KHe>|y7r_WKf9MrbdvV5o0
z@GBWWGkREAqWPb{Lt|WrQ(B#muL(PVQVCkKhLB7TPl%a(|8eJOVg!93z?>O9)$y+~
zaqrIhUIH+hfp?EOY=9_=MgNye4O!6j@7BLFXXD{z%v;E=<=aQ0X&Q!QztycZ(N&Ou
zcg=ClrWpgM^l79W@ZF4@-JRpG%c;$u!}?mOAHF@Je89~70_yt5x`B=mvgNbwiVrwI
zgI^WzrSSF6)n^k&GZ^lqb5;C{o)xOiNsyYRJU~wt2ffH|er$Jd|NijPU7scp5yFb!
zuiT0))z<Wi?rpY;3(@U5e$%N{Perh<a5*g<vH|!RoqCL}vBTc<lHH$wU-C$^fM<8S
zr3KYw4f8+K#YUc6nni|}Ww|b5-@m5?Ef5g<G4=;Y)IgasZdxi?pte9&(D-X<Y)wL7
z2U)fkMvvF3_gVT7H9+PtffR{ZZrpBQnb?v^GQ(00axpsQOV4|tM2Q0q>2T`SmkCJ}
zb8#8y+&A~Bg)<;QiC8xVdK<Dkz2chvZ59ym@sh3D3g(}bpnOLcDA`i62r}X*s7{Gk
zZ}e#7xqG2)`|(_Nl?1Ft#+$kb9ahe1)aSPdMXs~4XW9!V$`K5ACm70W=>gNZdkH##
z^8{sJhs;#}(UiK`5ht{vE;P9gmG^^mr$`psCAD$_fSO3yeCDjq7^$lKm64IbUeXRW
z7n=4R255O1-lE7HrdU9*Roh0^^ptttBD705l4<hi@H{YVydNFBm;or-HT)RSZ&vk9
z_^DS|Pmv$}(317uSc+G)eXS{)N<|LRI54%t-4X3O;87U|%r(*nulPKXCCRGFv)o;!
zWq1N^GJszxP3IkbUomJx4s2DZJMyw-)CT5RV5r23#Y>~^;mC8*%(nCv8#kxeC1+gR
z0Ns-zZN0b%Coi-keRuJF7$ldn487HzoW5`zd~-FZepDoKKQ=}WP#dta1iY-=$r$Jc
zqMtIEj)(34aABK`v46ZcRuuWen#rODhq_ea(#4dH0rB57eb5|@`;6w*@c;1|%?#nk
zh+%iIZq`Xqt`kKi4Agr1ZC-3Kvrg<nt@-!eZe5^1`;_6o)(T30$5ax-!ivcflK|@G
zOyi#S+QJj4>rFQKPXR-Vs)5yoFSLkO|8@*;OTNEvey4HsLb#{)k~9%OOq&0EdbRPc
z@P9R+<t)#eS7KG3*X(e))MP^Za>K=!1|N@KcJ`pK)sAWru|HgupnU4nPa`wGGhG<|
z(X*qfN!}}x7^#uh8Uef%cHch|L@?xVK3doB^CKtOI7x0WJZ?mh)$XLgU|J@~6OElR
zt3sf=a;sXTi{>-29Ts{0i6xbheqX|Uu{XG<RVy$ML`uS)seHHbvzYr`A&{kM3!0+!
z?bDGzOok{PqlbecdsqWTQ{;9%giq}#SyRSZ(`vRGo7RavVls`#+RJRgJOp$gTa>>j
z`sE=JJ%cIsKc70tScZPmNYK9-=5Vcm&MX6>qc-~vjQj*qGy^xQz8xAGS_3sl6Q7)^
zCuyhNz^x+v%$Y~Di{DhOCVQ1n-9<9lUu3p*+DMMr4o9c-O6qg9#14Bj(f;~K3jg4(
zt+RU1f<0lGBpA;UF}12cRvT5}S<NXcF4LPo%jEA#I{2CSkoqTsx>C&GPOvf&nY2av
zyKifIz<XG({XMWafjdyx*Lu8FoyJ=%;(O2+Qm_9p_OX7cow;w7Uf>K9VpP5^d+Axk
zg~}6_zU6`qu<(X7Hn`gYL%k7q6ZLyB)(@kgUYz(MyWt-$E+8XK&>nkYz=FO2jNw`Q
z-$<!G&NXU4f%pD?r<T-_<K+p92kN&KDh5!pC=(4kZ<))38b`6-6F_OTiyhAT8@1vS
zB2Pkvs~+vvRYL0-Z`K4+q}JB@veyWbFl`2qyjh+<Ul~7LneQ6#jPr_ND13o2Z*CHm
zRUBX)QyTAh)QI|T#NP>u6Ip3uTMV37a4kPdYgGfelv50WqW-2@uO6c`S31#ePEqKs
zA-}kJSLFSgTEcp4FFvWi3Ck5#Yg59!bcAum;YU$Z#P*@xSE@ec4Ecx8EqEc9IWIJ)
z*2(4wyT4nEJYh{;;Hz&Oszl%DcAW-eik8PQ1^U+Z1p*fWSy3Rf!g$&$B-sJz<&qrE
zq=tC*4Sd^4?CM~`a)XW=4xl8t+a2OfUz2D10S(dU5EXRsT_sRX0!8|;b9-D?wlfr1
z%a3!n)^5?ZncT65e&DqHSE-zN)^kmW?U`aOp=0$kN)#-=V^+SS*TdjcMlO%-{3E*Z
zN3-0)*&B%}VY41!5kb(B)q@D9zCr(2tc=Y$LAV;z<n4r!*c}YsG!zp<*Ib*^-v7PA
z0Uh~mm@I%fnR<7{D7kf3hxCpWyp-{GZ#p@evIF>Ys&SEwIsY4G97TYZ<U5G%N|I-H
zylJqcxspXt<<EMWaup;O(jiLkhH``u!lZTM;Bw$fmFbPk$#+Q2)DVZc$2H%d{Ld=A
z?)#hC{v8lN4}Aro14;Y0om@R0q1WYnqO;EP*z}On=$;v75oGD*k@jj0J8R7Ho0{}^
zsusP;$ES7caD@^flxdBNdrx!^yrG=D752VMym~~L?zj=IVFXi2o0D5jB}B_8rh*rX
z0#=(5M(@=GXL+~D6vRW{4z)^<oX|mF2HvjREi<)o+2Y)C7n{BK@s?2x66*WPgkbOh
z=HG+*Pqady`gyevME`|f`Mw09f&4pi(u9sQb<sVB!?u>?TjulxUZ%km&*{p79-y|3
zdv{2Kjrsw`(T0$v&@c|L6O~ws=Bu=yBx`$NOXZ4zCmY|C@SK2)@96Wf`9;zYnD@OG
zUBQ1eVuTxR*w>BxKvC7_+#5><H~xvSfNg8l7>;^Y;o^#mdl^il@E{D6U_^MM)0(gl
zvX`W$yRyLcJjXXA^AW+XiF`-aZ8td~Pv-cWG~~BcQ1IYgFAWTfWP?-}9@sABf8(S=
ztnK3u3YoA+IF#`uDa$cir1Q<ek7g)z%|hEmc%0&up;BO5f0SvwPom4}ydq3I7(af+
z0Kev-m*{fFdNvp`I*~H<X(mZ~OLpI+J)$)v^06@(!++w1WsV#?@p;R#OrQsWnqEyC
zZ}DG5JrK!W0nPUc08gVC%p5BzrPg_dEXw;1&VY#seEV^gusBN%sdtMHN6;71(%`ip
zAuT{a=l7aIEaic<YZHI8n|tM5i%V<4?aplPwIEMFnfX!-H=7Ea?CsXvwkhn@4^a(=
z;(l)n4<`IG;2H2Mc?eP+W&H~}R4mf-M!77Y%<yj4{Jwf%c5|kB5ICZA@%W9(jaVgV
zN`3BCo&W6g2EVf169C4fq5)cs!5X|{GB{u5Nt7?nu6fIqW{gOpF{>$QV!p})BO0Re
zPRx86(oG1=54N^6%nx`@nhQh|j(rSerL6tGFS~Eq1MT<CZYV8zUYJOOw<8`WMiV;Y
zbACHvSVOW>vsA-eKmHB<0*XRLt=sFVIhy%*oJ#iW4h~Lx#sF5puE0!oWYTuY+yS(q
zeC`pGh<MO#ZL?VfjGPEZKRF_%{Hfs&!j)0R0+Q|0XBW{9xya>lpU(4T%5<j1J2qeJ
z8D8Re_kbx5sOH>Nt1W$`MvPVx4c><5lC}JtZD72S^o(4SY;V!{`G;f{ykx>AK?0H+
zF&jrEp|{jpOJ?HA;yPVFDg*@t4ErmS=T~_^b|kyW9Ln^V7h>4&E$81-U&U+OJZ(av
z0u1OO!~|R?&PNA@<APo1)?DdZP`(s!P;zzBxvC<rd!u)1aP-`c2mtv|o0yNazeE>8
z=0*S$Z!j`&jR`a^3Q<GRggW-OeD%3Tt-lMEH0A{FCTa8Xsav66wUT(wLv{txMb4ao
zuXX-7u#1j41g?`9y_mO&pUD_^wlbY!D~DCu7`wo`e}|0MF;h2Walvtk!)=j>8~^n~
zF1+Tdp%hb~bI9k7Sj8)<5c+fO$vvUn8w8TT0SG?Y6Ee*heYWAGuNWxz;m!Wl|0zr5
zKOU&8i1S!8qgXo)o#VC7k_p2n+A6BHO6H19>!>+jdc-tgMZ!sb87RbU{~&hh#URlT
z6_jx{UtQ=nilC@(9|Cz61D1#h^C#M?*5R&=&JuKRB<nhUE!=ZaY4}CUANby@R`taQ
z?T<4)02lCp6^a*}_P}8Hv;Dhn;D0MC5pnTBorV1lk_JHhULGt*9`c=WN1&G@Z^%g+
z*_bUaDEIvu`7%U~L{~#v8g5&%SWnAxrOQDXHut7+P0(s~V$IA7&~8T?+1oD{i1vN}
z`18gry(6Ua@sX@HL-8FXZG>5u%?5mTVN%q}y)}E5e@vUPR1m=w*&sv)r-#9^7_-Xg
z{e3TfRpR{I31DbrqsJ>M2cBT{*VN<#iDTDty1iRLZzSI$RIn6h-Wjk#-1v>*-)uH5
zTSthp2sNCiP2|n)HgRAgatG;{cYx((MuR93Mh64M1dR_+rd**}0q-0Hh-s;>yuFKF
z-l5pkYb#>p=58J9^#<&a4DNkj8FiOe33`9831)XBZ3WGW3uPugk1gHu*U|=cKhi=r
zR~t#nGu0xaSNEIdWw}*#z{v?{Etpt*FRmc_ZS5T}^WRL_9W}mxi;(BKc51Ai!2RK4
zbSkFly4__*L)$i0Y#cKH(God0x?_8#nrZmFkRJ!rk3rlm%IS{$2D00)3Xiipkci;1
zG~!dlM;>s6R}a1EQE>(DSg4o&y+dt?q8VygnDPSyhSM|Kw&R+A>p^9&&*DAI8O-P?
zxOMmn?0+tmm=H8IJd7`V7avRm3F6}Ld5kT2Hfcd(0^vS*cqwx%(Tf1IRA!_Ai}ZO9
zFz|7_aFTGqB*sAAjIh*@sO2+a5Vr1_`vdVn=IB_<$WRh^3~;)q7Y23R;7L>{H+&Dv
z%fyo=H4jDR_f^xoda*0XO($Kb9H8DidD{5|ywK|XEsi~Cp4yLE(iFQfDw<vUfXdSL
z6fgQ1hCP&z_M-$1y&mV;5d77qWq0iIFtG3Ky>iF1+mddkeI)NdJJ3y7vsH#_wJwXr
ztC~8m(N?)-Nz6!)Q(PU&Z%xCLrbBV^H1($73e1R;!Q(r?-_R1v^0l=-Eh+K#E879o
z6Mm0a@M`OVNai#&SZW45B|&P3zYvr@4%kQC{`pBYv>&KbZna3}?<t)l!>m9LL{nG8
zzP!8axbaVpvM#DItVt>A`6E!96S1DM#L+Vv25-(HJ5sg;^vaM8o=TaVq=LslG$TbE
z6Ql_+&dA}^+h*_*iCX#i8dWcF4XJKmg7OSpbfoL2V75p1QxfzBDS95LJXhrL!G!6V
zwT<NPG6?!FoM!{pA3j2p?aE-k%oS*e+M@9znfSdn6+~h9{JJuSy>T(%ozF3N=d&5A
z{E@?yXN-SF{9vDIB(X6=9=CyB;0w_0O52p1ZO1+T)&tx=U1g*cNgss*(Br4EO|CZN
z1#aM@=na)w*#GJeINCY=tV>}MFPVM9FcG{-VOO3TIV1zSUV(q0E_j2Xm+TPcKbXMC
z!vY5tB^+(%!#c&<{&$E#=<=h-wf?}GAaoDR??d$u#Bjljq|#!6)M5>2)!;&sxI){l
z8}Mto*VK^8JQLMaLeK%_S*>#c7{hEtryQ^>qKjoxd$yc*-nc_A3!V)yfjV6s2d_Rq
zCai$Q$I?b;zVq))SN|r|$*^CS8~HwQewF1EOZ@Ju3Q&#|Gc&Zf>|VOORTVMLx@Sd-
zuW8#LI}P8iWXsqJc&`Mg-r?i5SWn}<uolI9WB`g-CxT>g%q|f*bpI<v?Q`zOd?^I^
zk}uTdzds31XlwXR9SM5^mT>o{_5NXZ&eJQ+B>myx!g=Ur>`9$G9fR<2Lc(*t;$SHh
zgxQ#)lBHqdKdN8-`u5dbC(btN=gJ#==E}R+MiUSjSvBHbe+l}QW&UQEh@qSDZMInU
zz$@W=>y-Ai{hf<0xzV4mEdDBR7EGNSb<=QN{JTgWIvu-dUcc{m)}MNa9^qlpK707-
zboSG!0|U~!R5Efrp&vIvDRXX@qNV%&VxTAn_WFR@Gmg;BY5!+v+t=o7rm2jyGB-%B
zX8WJ`n8Czc#LSV;RYj{G>RR16Mz6-0RF$}g5v*e5tSH<0sK@M6kb!~3?fo{JRn$9x
zRk+&pa4#T6g*iFZ<g_TE?7lFels|G74FO_NWss-dH(ByrDEsf}U+N}XwLA(fdgE-;
zYKatOVRl3JipC=<2M+AjY?E5OS2JwqqD=<xC-B~FBfy3>IO^S8s=YE+zc9jB6Ktni
z@_88zj0xTRX-F-URlzSF6px@OmQVald5gV`zSg~I`|2hxq4dg@McX-#xa2hA2QLJo
zyi;$h{@w6*dyL3Li@D7Y@n>nu(nGq&Y&1<~9-p6hBPG&r^t9|$ZDC=w^1++))ExGe
zj?3cQv1tVg8SUc2{VJ67HYYsIaL5Wrl6*%hCospJ;jwc*X>3Kel)bIDQ;RR-bA(A|
z{hzl0#R`t(GC1CWiHA5nw;I?4HRfAI4|yiFaoDv~U^hlv)?9>V4|=0{F|TNv94+hS
zp`~dYuF+?RB9Zf4-iIHs*O}@~2mbv;K{lY!%t0K|joE%xnE$81k&bJhbrf#toV^Z>
z!_qsYVQF%9s9#2S|JMH*$>&i&$%7QFvb=-uV}b<<#kq?=6dGbp`fFbuXlpfJ!|QES
zb?cXrA*(-3idm!WGo$;NrH=*PKN~6&IR1^)Z5dmP35C5?didB<a>oW;*ibZ+gLJly
z&fY6bGRNT8c7dfiJNQ5Ls;cu0W2yG?v1qx;wn@!Gwptko_)tY6b3nN2mv=E9!$BAK
z+@(p0wRnihw8nB~8(P2K@NtZY9`YhlBgX_T!jzmTTNIVMj2M}+K4s~kx};QtQaMyN
z#;Ed7bUlB9^!VUD@$@~ifgDTA9yjUD*?qx=eEA1WKc&McQVJSfzGBP6r*AjD_udRR
zbs}SZMr5<20C`xN|3P+r>Un+Zehcqpk=SU#s)ydh=)}U*=)~A4DHG(ySEz6Chd%WM
zmKodES9PUjjbc;+-T_6jUKThwB;-EjBPd*`xD#2vlcUfBDRm)8=WuAXMCE={%x%nL
zlIKqmQ<~5icoAI*gELMnF8#0>9fhjru~9GXy*@;w|1Cw(cUyls&gi`w7LvkWVSc!~
z_MFsP?tN;t*O``XL;lO~XhcZmfa(HvuliwbiRNUBxteY?@jxNzzpu#M(ruxB>&R$9
zR7X<hHl-S}6KLJgxe8n96c*_`gz`bby5-m8kS!&By{xKytQ427X+h_KqM5C)=zJ9F
zXkwu%gzjhar1AB~y8`K2`piSwGUe)OOoX-CKdsKxCmIuG5FrqnhV`1NwWC|5&NLR<
zeG2}A)hD0;Xkqx&wrN~>a%-P^W`Bm8775<_j*;W}#c4IK+rDyadPPdpbPy+VCB*H}
zty2I^uvDICJ#6T37#JFF4DERug~#WK$e^aPIMSe4HXLuJI9_<x5$Jh}`s%Lg$#S{n
zRm#qUS0=r;5+a0ivJy&_up`32@LC!nGe^R)7~0UxH{g%3(zipxlB7xNxLGwWuT{T3
z${mFKLN#GtKyz|_=HYZVwl^Ye0lAy+{b&H`L?FFxW+|fM7vll+RD_iPL^k&Kp|>G#
zZBI0vLuRsY!$-84;I^^87ghBh6P}}FuOKf1HFDO9MQLU-r5WRLd#N);+_Xx!dy`8@
zuL^6%3&!Z<pKBTH;yUe>PJnQ>VrYZkMuY9EIxG(xxcjg3COkKxdBH_^88$E4usuwv
zs-|vnwVgUfM)(2%KoS$Sn^RlAjIPf$G71x7puT`^#8qiRX|wD=?RY+u2t*83qi%F$
zbheqL*p~4s-T-DICaX}a#K09oGnCFzC|6C3Bz&_?<Z4q;OBmHrzw+=h*^!oE@x;81
zAwJM^8;P_W6uzq>Ik(<V=)&;v#6|%dwI4XMO;M<~7I%TxvrH}L)sAb)wF{fc<B81S
z-gt^wNR%z{ymFR0{2;!<ccI1H#k+!)zdE!69YH!GnmA3F;UL?-oOS9LO7&Re5o5;_
zvajwwK8&GoF{!MYtqK@tY7%^fIxe>!YU*ju{{FKqMPEkdcVwK~qx$)}JDI>~UD_m&
z-l!OmiHGy=_qt6kY69<&Az?Y|s<cJNBFxE5*U!?q@^m)ji=*DT(iw=kXR9Bi@R(<4
z6>DGiBO52L73cSDw_Imt%xe^N_O?oCLz4TX4n*p7ph&JsNg<)LH_mgomx|#(vsy88
z{ku2>PI8s+21p4e>@I&`Z}f$<WSJDVlzgsbU!;btR;~*cukuF9dbGqPy}1oYju$Ac
zSRMYg2SM#m(I{bne!f%0T>EuVc%}WB#v19xJMMDEXeh1}V`A?0F=9G@vb}5cTw}z@
zjhQ;*BKhmmrgtOrvn21)x5WIPN##_&jU*l{oV-yeR9VV?-^RAJpt9zjAw3OwA*owi
zq;TI&5HtUhw)wJQb$t6zZW<)WH1|ZYOvV1q!`?raj3<Z-(r^%An>86ppS#4|x)_z+
zi_PDfs{aZD(mp6JPDoT0p+(Z%DY59@&2R^O5|RLG^3wb-_TDoZuCRR<pAeBCBteX*
z5haKoy+sH{jowKN(TU!PB#6%F(IN)Xqm14XF+;RyGrEZ0dvE{8`~J@Qe?1@0hx6gg
zT9z{Qex7~z``&x5E5q0b8Ix|1pGr>F@I5Od<)cH-x?z1izsbxsh~`?MPCNyl`eX0x
z)m;%oksA5<T2)Gs!mCuBuT57UTWy$~YgY=hdkK+0Sos*3+#Q<xi|X@cmWgDoD{<`p
zO4qrV=N8fqeKtMkHP~7^Q%q#>2^{QerER+nMw(QlnIC%sG^2&=jtlMThVda46FPQz
z9q`Q9eiazUmYAVLnW4MoMUKNQMjP`~vqcqd@v7DllwrWQ&6V?fPbxV<A_F%9eJ&!2
zhLcVPpm%tM)Jiz9YbQZ4Tx2nJxlqswDZn~MMb!8#q=4sebw_}8DH4|JLb|V3kSHiU
zv?HiKpa^-ERPVChxiiAXqMC?&o~4l7Q%3z%l<-~uXPkav=kN#gENTP4-p4^z4378q
zBk*qK)Nx=>d<EKrcGTfFMSm+UsujJIZEw{UYu_2UUGK3DTP7hs{(#358zd3kZxG+*
zcAQGCV<xrqb9zN`X9Pr@6H=g2ZvVS@U?#q!GdLe5{m=%H01e!#I2J5?@|BAGtwbb}
z_>DGc^Quju#CBHUu~akPHU1wv<J?KZ>Iuc7Dp@a)m1-Q~zvZ8KxJJ75uW{&5+^$mH
z561+S0vjEmrrN<LFlGFpL*aw+axA&uU96d17Wn)wHMRe9jmj5YdL=^@Mn}l&kW_n6
zAz1Xt!)_zAHDe!d&`Z&hy@SsmJ}~jKy()#c)OD#kTCBKa4X@c$uVEuBCPNcaBn+bx
zuQhqfTmDO<X2cvzMoaPL8@{**av3k!Q7}ZAb4}v-@<5(S?NuCPqgV;AWLv62Yl?<O
zkC_|nmLU$^fem^KmT|z~36OW$PnsM;B2Q^<Q+PH3jmzg=3vYPFp-tiAK2uyM<NnAu
zBdNq7wfWOKi5kCQLgvNSuwaC?p6QoEP)$7Dqm3n0B5JI6Q|rm*Va)X`N^4Nztp-aQ
z{9JT)>rLPn%o5dL!`&whC@_>ai=Vb1t{67MqH1*WIpra(jC!S#-fx|2p8n0QC5{Y&
zC0@($bvgd~!VIKk;e1YdMkg*acT}-WB1P=I_DN;+lBDDn?wyzJ<?6}lhLW`(u+J&i
zniYt3cVzCsL2`(-RKhm}`HRDUY44V8F$oD+bfATOqcPXA$Z2?II3LL_2WbT*!dw&s
z*449r!Z7iMgu>{Z)@>0~vs}I^ha@oX%lzCTJtPkkW0rnSZjm&P9Tv8uq{(YAK{xc_
zZio2(JVCwnmI<qFk8R49zu+{6@HvteXj*wV;b<>Nbl8x;MK_+5XYW3&9;VA<H@c#L
zvhN86Dyckzw0hOq_E1ot%Xi)yRw6p_-Pkdphbk|oYv&obw};+`mH^=hgBpX8>`7zp
zvo6Qe=E!DHI4HS4OYQ{%QXH5od~U+K`<?GwSzKUW28DN=Ehvtk2xoVfDKBcTwppqC
z=|sKY4-Jg2m#a7|62C|S9x7dbfK9a_B8Tj>=@hYc!UMUMnPD7xK;8_GGK8C+3$W4(
z#q^Yb0>CWA>oyd>%h5(V@$gosDXzs@4V2G4g-M~Wsoz}#hO{inrbl9EUIr2_8MO3T
z!P6wGNl#@TLxj{xMplR39g*KF5Y23HTAZ19J*qCp$X~<rli=DW%dT1Y(WX`x+d;JN
zJBTJ%=`X742o_1ig8t4p%I?A37@LKA1vBNTB(OeR%U}x6plyqiy&=2Ps=A!hKhJYE
z*^OOu3`;*DdH5~LqY&J&dxEgb^r@HpzXpaklXKiF3KN;(NY{LwrJ<95AXv?nB#Zm(
z4JGx;5=R<Rlp3gwf7AxaW$s(8-9CCls;M!@i0-saw&Y%7KM%8S*-u-YE>%K|xIBbi
zCP<k4iJ1|PaI=QI087E2#eU0OJ8e@%3<)D$G16*kq)fWz_JtQbGXXq7;5j)IS6Um3
z5(>w2`uRT5R8Zwe4|bV_*#G#h@2Zuec*3LTWdH2G7m$Q{Q#DWjOO~_eYKIDLhtlpb
z->Khf1Kmk{ZxPPZ^Ej~X>ZNxNos}&a;4D(Gu#X_Zi&;8l*nF@Fy+$ic)VS=iPe(p4
z7x>7gnwj#1mMhb&hzL08SQB&w8`#q9^vAtQY%ayJ{xrlapNGRDJL+pIC+HU{B6lCb
z7Wa8Rzg)qA?4xbmI?2&$?Jzo=!)CgiAUPy*E)%C8Z|FFci2fcs51iKfmtlc_U{>|o
z${<aHFJ%-N-^ULc`noL%-S{p|G;W)0o{@n_Nc1&=DL2rxT(3L8Ar=(FOjRNlhrd;P
zs^bb$DQ~J&ZwaW=ij&RqEiP^@v7SyI+DV;qLx&WXYaE;YHK||Vp!Q8e?p(Y8ebZia
z=e$eGD51z3r;X*|GGR}S4c4MY`7)Scv9IGqI<_?yb+s#w4MT_V@qC=;;Yvx9e|Vk8
zw_%_Si|!lLyRI1%+v&Qcw6?FzAj`5r!X_Y2U|4z*uiDvvb*RECL$~-`+MGfk=w0T)
z5J_r!Rya5Hg~9)1+pRtLYEOoLn>NNN!|xX(s;UAtS{Ii<Rq<K7Q&8$Hlh{G%{)pKj
z=>?ukR`F-l2HGrFfZKwNs1ZUD(J+Rk#?tuupd6gCzHUE^XhKveRK#?B#;`038+xAK
z?<8s9f9DJgitb(;zeK4;-y~jH&Wl}JZB=Kg4*gP22cOk<7goN>q^DcvLtj&l(*yk4
zuup?Sx@$C!_5Yf9tiC`ja(4<H@YsI4d9@{uok0gG#bAF)KFJf@<jM*SRH;7^m4&OP
zY3W1>MH3L1LPEnDbhFQ2H`V3qjUR*z(^0#0PX(+a&P$4St0GT*U)Y+xy7BVWgvMVw
zCp~}R$1%IL7H?pk|28Hb=p?_KAgK7!Tly)}52bbLWB!3k!NR@hYk3*p4W^Lq8pqmy
zP0FhkC%4OBCk+=b=rK#_?3SO&pHL4n;l;-I<dg>N574iR@E&Q7Nio_<mAVUi<Z<y@
zPy$JXSmjDeYB)@f=R2JK9P?&m!bNYfn46zXNq3G(D~&PRWoi{HvP=f}yB$SA(m|O$
zYqMMuKQ9u~wPL}}_oVHsC<+9GC$sefS+XWR0pl|5q*?J_jQES@Tw6*S99I<e{5nKv
z5_t%wEbV&Z*T|TAmdvzG{tW_=Me>kEW&@u;#T~BBM{oRym`1pl_1CLQrvkT?1cn7g
zSx*$g1Ld;uU%Rgn+j)A*JsS39*{AZqWXh3-EvO^>WrPmi2e|D9Ip2EF;ZNa(=@Kk@
z(<RuFFvJL&8ij}jU4aGe*mfVLQlX|gv$C}%QJ0aB???uYjpOQ#ri=Nf!J*yd8g;<z
zf%FJx&EonmH7nF!MY{RG3wl$u(Q>w}BHoq?H35fX7e8F*m|1UdZJ$LrwluS4ls~N0
z_)GA1;;VC!iOK8rrEps-J$-R9Im+lLAJS@^<$hzNzbSuTCtsS|;camYzbT^vP%K#(
zy=n=9gQcKjv;V8NVBzDvJW*aq!Bv!5oD%zj^Egy;y4*R@=$t52-0vH9Y5xS*duZjL
z%}wQ1X5gA#+|+crK>;g#ytDG2TBnd}URmW;<N9jYGA`}V*6HvI&Fd)B_;eb#zWjjH
z=8o7-AVWnuPWNE=m_KjfB;h0QEl+Y%WB-MMKUbBiZeK?~1M_*!PyfEcd4VQ4lrNU}
z@m4enl&lE&CPF8OIgy|dRJDfxsW?hUr)dU>$Lp&s^<pM!sC=dq*66|;r2oWRawmjr
z#Y)j6Mi5LD;jkUfE!?B4Csfq1-3Ll;*g1Z0TKRE;0TvJ=e2SC<>21wl;?CJhPWRH5
z!*8dC;qkmHx6IA7Hufb&SJjAr1>0L+j<yXnv;RiVuMiF!W6qi8aLm${nX9Q^4P2)=
z{Ss9CJjk>7>GWcp)8S=OKh-G}NbPRR=?^GRYV{~PEG6S=FCMI5mFXsBCo?FLt7Nd}
z%}RbTytrqkBj1cUwuHcufro4?{yLrFTFeC%9r=g7-;g-&SQ!tG7klG+hXs|3-=`X1
z8=N{EGhKG>^PK=i$KLO+9iGbkc0e0x>!~N#(2%pT7Dn%&Vx~8+iwNKvH7gi7rI@{Q
z4cOqXVNaC=@+O6W(^D$dQX<ei>g;$g^<STh0Jc6>O5ZfpUt(e+i*@!?I&c*2H33<n
zCDPLmDom5e3A_YM-9)Do+zc<7V&HBkNX-oF%isD9&u+Ms>?K!oOCBDC$%wP~o7_D$
zK~1>vs?I!=eF?V5XYQ=m&;TDBrR?v;f4wepN5jeOBcFfNPnZ2FBxbI*WoU0QaNu`h
z4*hj#$6X39Er;V3vQFC)<gN1vHM=MMqw!sq-`4TG?bJQBc|6_hx_V7t%*y&t@b-1C
zgoev+>U8xqpe3J0=0^QKz}pn8$>74BlfjZnOegdWzJS#JEuC*ZC=y2=wmK@@u=l%n
z<I!fw<fEcZMZ?^yV8bScqyZ5ywM*&r)O-c(?zH*)*kLG$fzA@slL-1`R7=9DL@C4c
zcXvNLf&q}R3yo2>2#MYr=F_-~7hs|VihXM()z@N=@MC4nONX(OO=FEY3hSUwC}m2$
z&0lZi`;}~UQJAdmUd3;DOS_=MmGR!h*#M0J%MVn^ls<dC1@oVc4MeJSu0hyqYQzhz
zrX{}A930Rc56DovhMLz0+s&NG22njbP`vLad-~IMoI&@SKygQ`r1cH^#BO<m!&~i5
zEyL=%johg@F=xaUpl4!R88a%P6ux|%+LHYAWoL%|0uDqqmAo6T^iBMoo9ZhS$~M+C
z^nfMnh_U!)%}tar_^){Sk#-u=B&rfj5pXsUVY%b@E*Y24e((_ZMXP0L7iz64L8GsA
zxQI6}`COE6JFNN{W#bapWL?sY+z;~uWXIzffKzuEVwD<5<%g<yimQ92*4M&+(>dQU
zYmmjBnacNdti*($Wc{a{Giq%e`O@m!SZXS+tac_33*;=Q4J^maF0FOue%3Pk8A}3@
z$0*U6-2KmHHy=3OBy4)Ptl%OkJ<x<}k?6hq@0Y!{5QSIr<iO+E)0E<KBog+)40N8K
z$6tP}`(b`8q3sc5TygqJo5y~00O&-v2i|PJ@7d8m39LF}mVpjU4Ad_A=s^uoy6$-M
z_vawVj7t{6N@`#}G6PwbJrOSZdWoWGsg1V{KH_bDGsv;i>v=gb$UMr)+%)?=IqGRs
zwc?@*yH@#heCC~N7ELL3`wN*;4x^(v>!&9nY0nPS5lwo|i&Bm`Jw!B#1q4%I?y)1v
zkWh|Otk)0gyN(}zM&IM`xPPsliKyXO^y*5)a{J2~q0J@Trx(>|HrD04ol_->ULOpl
z2Gc_B@P%AS*I*{4=-~XWJMB$7Owf1W@^rbOo3E!3s5HxNPJ~d`XT3Sw%74S-Lm)om
zU&Eh`#M^v(ap0S~5(P{ylYQAlX(CVTxMMgnE)PqwvWM2xp*%%PszB<BgdgDS8hlWe
zR#&wSNzIr5;yg8S11Bl$K;3u5YfF;|`|ky$2D=PBDe8J^?Ufxs{`(B*>TAJpFiAUP
zF4cNsWjJHfr!L2;R!!XmL67L~)1LE=>{YD`0<pC5u4~CvjKcl+<l*@Ol`mfC-_$?j
zgC*&C{G>?F5@irJZep6`Y^E#o*V6xT)&x!|&inrC$yHF)c%_aquU113b$yemh(csM
zNwq<wW_n3ABJg6~s5~BEcW>ul|AOIuSB@%U%for>FQFzS#r}w|dA0{8Y7`-FbL^be
zIJN|6*F1XN?Vw#x+^AQQ%A^41J;|^ICId>^I;EgKYafSlwN(9IR7ntK&UFcB|3b85
zQ*(n;?aT)s%RNp5Nv0x9)dm`e5m!Op0H)*3wPEOfAa}K5Z)VEDKKMyE58uBW&UwaK
z1zWI$rIAs-TQ4G7_fw|PBNg2xip8tb`)lH*98}n(#VoGl!rEnvD8Bvs@#6xu0XZ1C
z+b@T23YN$f^Q;G)c%O|aUpk~_g|%Ial;&JtiC)?_Y4Y*+EURy8yYJgzQKeCO9%YfK
zZM{hBm#LT*^<Wck^J-u`o6ZC0jxCC?c<TCX7)+~>h41pz9}gjkd{*(GhTSM1JM}En
z@!=eY(~~(;X}x0_&5FtL-p#6w6E2m3BsySWt#^#|#QsnXUNom19HOgQ*b2}6o!2*`
z3WfRo>_j3{BBv6DY50A#N=I2|L*@!)O&heZYZ?;`>gB)jZR^ZOPKASBTQ~)Iwi{;E
zKdQ87%I_NSMl2|O&i%zp#O4;Z0xc;1Q}p|JR-uw#A=fq-td`;N=ru$5KP7t5McS@r
znmSAl7M(Xe!aDgfJ0OM`EcY5I0%hXD(vH`7xrJ=Ii5js>W8?2#CcRyHY+T%uil?$4
zhES|5?lOnhYZVd;7VtA>g_dz%i!^0^vyYvU`fo`aOi5F3<<!zt;SnFX+h}1HTh#LH
z%NFJ2etGkDI8_dau8?RA<~QUorl;ikrv3fHGFu3J;4bQC4L#qGrZE3bj5DnCDeuF=
zxH(01Tro_F!H>J9)4?3U)cKI*#A1kZ)X{)0L6DG{F1A0wpi*5kKT^zcqKSV+ySqiN
zd`FENS}E^A;gz<z+tJ{f6e+3zM(fM=uzZ-<0@+Pd%(p+A8rjnt*|?mqcna+SG2v&?
zN_eJ;_r0`@|Hi><K@v5&QbtLo`ndS%P`UKik$!3YUn~x=2^kBsIKHw@R2ln*x9q%6
z#6x<`H#us^)`qPlJRKjJdu=yuDv&n(3l=Z|<_xBSHS30Nk9P{o`M-dH$#62|A1$h9
zO215sqVexKY_4gIFR^jdAf^&fWxrE!%%>qp;d!4a1o>!Qbrao$Gyes!k7wbv*uo;7
z(sRkMe@=lh)A;_*?h5}xm8wQ_6g2aZ{)mIF5r54Jk+qdCwBszPjt1jgMf9R-F~vSe
zud>Kxo$lpCXP<ek7@xK#M82M@$G-LaZ}<jY)Ll!{AkP^tg2KJ-Bt9S)lK}%nZ-Ta8
zm1-0c@lJ0(m_G4FBM1A|H)LxOQ%eq0i^7WlGRZ{9TyU)&s*>|7xB~aJ7;D^*?@Z<J
z6W$pmR_4(fW{3EGp-#u-^!4zxSd}M8wHjIJ7EuX#r-#Y*L$L&=c5aiNzbOv{J7#bH
zjuP(RlQ9@%yd8Oa`f+L)W)BysZLl=>i$80n3%`)(u&AR?e;a}}HG5hbjjsX97;JRu
zClJp#0@j*RjA3*YLd@{z2!~|%F_v*|1v(ei&_=aTk6_O~H*!fqw15(pa?(Zqa{JDc
zxACbc^Hb53qOpH@?a5c&xRfHr37se0?IwE8cJuXNpSNb<*Ni$9<yoEagyrA7oF5tc
zB~*&S2!w1MDeiG>Bn@$mI(E8sEqy5_{rycD>()8OO-+~3ea&E;1>?~vX5!+ITrA3n
zp-qsUVxe50J@~TCy=9nV*Q|l`dL1QE7{7Y!w=E(vgTto2_|5Mn3z$OFz1v5$I#j2i
z`OyOdGVq!0L@J+o=f{8XTH}h5=aPI^WpCe)PX`CThDOQhY)Gd2R}$7psVij%)C?+>
z(UUB82a02laLu{CPChFir=NL@KVHVma9d!_xa<^WHsUF`%-@ppSlbmTe6mycwWFxe
zJj)ib&Sdrmuj6_tY79p{IJNQZz(aw27rVz=YNzE^SEoKe+PM~6E<QI#=aQa*@c3<;
zA34bd_blRRHflKV7!dICn$`T<G&ddaI3^2^2NKCvB==fW<4JXRL)g?a4V;by_X`uf
z{#u<Uj+9YGFJ?=>mg+oRp!cCyf4V|#pAq0TTj53+_a+Q))0@FpMyq#<6HaSjcTdpF
z&Y~pFdt9HOb5ZDc9BLrixp|wGdR7tp$RMkD8@8id{fz$_i_eTtjG$r}Tw6Eg@n2o$
zK&q4U@^fZ9h&SW?WFMxmhF~A2?I4~wU%2zW`~>;sPh1Mlt?%}r);;@!F(8_rI&HD@
z516WK43yw38r;t%Y6=a3a_q2dD6wxn7<&#ez_{m5eJjdTl;~fOGufA)U5Th)i7*Jx
z*%&caFdXMpAe{f~C|a$j+k{w-*O1e_%TgNk53%}Nq_nu4ztfH>bq*EnZV?qX2Q%Jf
zE(<J9pF_pFj<^rB&i;s$9HQ*fhv{Msso~^(CY?|{-7s!_wEpOv3oNX5j@3-Ll&V2V
zy8gIz`(luGmtbt$Yc0%*CB{kOf&#)AbEN!x8uRQ2O!8E1uopK#*Z$ocali@y@JHLW
zsZ=cObCDZrHj7E{F=p=l>FVnc5$E8}tT8u2ge`%NJL)z2BjU!p)RoFu><Vt0u1)%b
z%HMq-%Ser<za>cPdYx&#CFt8{o$I(64qa3E<W0-;N>@4PrDw*aF>-FdMbFq0p7X2a
zWCk)$I?pBAi%7lw*Wr4xb?jGx<+wlF+xMu>()}z)v0>h8cI+fl!6*yn`D8ZQu4zrS
zw}MQxORAtZwP^`Xz*cdt-`jLtT$~{sa;k76Rm#6!O>%$8Ei}marIuC>0JkneBAF+%
zUqyoL^khk!#j~m^c|LBdFuFW?RS)lg#9K`24bsUqvvYG}&yII>jM7{)2zfu@R)@iF
z!y_Xp8!vg$3%wadHiLP&;*s5MU*N9wvK<hHIGP5|Nf~5UmCfK&r*U?cXaDP20Q%&E
z(U0kt3@%Cjd1@J-2hv~AU&@S!*-K+(pRNtvA{C2Sd#SCx2c8;3ykCwcfOA4g0t^Rm
z`Dz(sdq0VJ&NwEwU#+QRO4R8N80qNfcsfniyT7QPrM_XZa&IB*?iqR*EIGxsynS+V
z0-7i{KS^+ay-J!;iRr-V@bIv-*KUunlZvMVR6KgtEh!=4OlE*^fKK_w@1-9{nEu-c
zsf-QAf$XZPy+uTCqITSdKCjr^6Yva0k`&Xj1Z*DcDM!oDu>J?swHaAKvCi+uL=)p4
zgj4!`ING!Oo)1lV+)GR!!^QzKEfZ$i$ruceh-gDtM21BeTh)`F@V<jD?jAEC=0wy~
zXc<I{zJ2?&`-&bGkjc^qReO3IA9E7=>)%la{oIo-DBL(Lr7|MjGA2^27wz)tij?8%
z)e8OEO8nm+AqL?fBK-Gd!44)#|9!>gKHg$tiR5!YROgA4Mgj=k09cuko$nwWF<O`L
z&L?G`NoXbKWH}@i?LH|5D^ngz2AAn^77%D0CgDoo?eC;$tL}N{S%|IPKd8(Bqt$4>
zNmw5(*cHkDtnk16O%#n3hgdYXM^N>7&@MiNX)(nqPUgf&)q5tSeFlFu`zO+S8!^Sk
z?g;SyozsnQWoDOqBQGNR4Qt=NF2T&!wL)FXk)ALy0|Xzs(W2x$7`ch6u5RWFH;G#%
zsd1TCvKq`&6<{%8TxNn<DHkTYy&ND$rw|eo5p6iy*o;btPsTaTN%Y2e$23~<MVr0a
z6ESrm679G{t5-K$(Z$`+3Eg#o5naba<<y$08TF=@Pl#5Gzb7DWR8>_q16wXbyiweV
z@))P&)IIwA`7^x-tyL4>8y!78J%CUAO#oe7gOx&AbRx#}N{u@&Tb|lFI&vTSG>J#?
zaUsO~rKSmc#a4?eDtpC>v<Gz1DThiv{+$RGGin>@IWcjG)3r)rMIYFJ60E4czFy72
z!GVh?v`woRRaA_cURhloA08TV>s35`INd>*&ag}4-Q`Hz(z@i_I7jLdD=Jdzg8BL)
zf|UmDsPpx{$B>VHz3T#95#6H(6OU0#fk-|YX74Dz%U31mz2)}PQ&R!S$QS68;8k4N
z<@}fA4F_A>!YXX3&qm#1HSEDQGNjxpvJQTJvTqiPJl$+*3EWNsS8Y7h-@jdtI#31z
z;Q^vArLpyO$uRl1eMAr=vD3kM-pAm(R_+KRdnzdCuRS0JYcc%(N@gD&MFW?0P;ZV?
z7m;3I+exAk2?*++_38|mW88gfY+19g@J8LtZ2AT)1HqwCsao$Uk7AJJM+0^QS5G}X
zT(_6Rl+TlKZo?|;JY+6n?8+{d;>rl|g2WS-@-A9<n)U_?DS{(sDPk}!l0!S=PA!sv
z8{u$n&`9uCEccw)sy)5&1YP&)zEq~4zOJ#c-@wb&Sf@Ff-k9Ui#(C2JT0#YlXom`|
z-Y6FUnpF$S7A$?xbCMb>K-36D%!=ffn6+GRw(b9;0pO*_p>u5viWLgYQv(C{;`U;h
zkIye+GGBfXapdCSIyEvf>Iu0`WBTAViYmT^6F`M`Mf=4WTg8Mj1bFG#*{v4On8sjc
z@jcy+&M!X5mdG~8@c^;#>?EE4k63QcF;)Vxw6G{ArJI+W7ot3D0OGC0X9xa=Ruo=*
z$WVG8>v3mCTV^h0sf+WQs}2dw@a~GcSeeh%@EhpVD|qv`_5ha*qtYbs20od@R%`D=
zQ?}_=#&ibPd){5-|1}#6376Plky3u#m4yQYcINYcGhmOe64ET?dO^_0MNCU2!Vr85
zB{Nt7bR!20J5~u0UL|KK=%eFM2NQE`(##lJx@V=8)4vlrGrD+M8k-9WmWi=rmkE2r
zz=SzN4U_%wLub#x=Sqw&{vHv?$IP-+#(h}(<(ycjq^#V+RM77}nVU1os^x-awo@#~
z%*?dK!2F!<M6@4})c|DW!LcCIRTe~u36%|;+5gG$5kt(CD9h&FZO5sm3GD}V*0ejP
zA4={0k!_)Iq}jPm8?p;0WpeWVFiQoMj7}y|Ag#EE(FrlEu;}!&Tc;{U_0R~}FVU`h
zq#}T371`k`HkY%{81GO!O4>O%UCw$*m@=!$Q(JBSYfo1E%)Q(UAaV1f{W8FsNl8hy
z%rVTa%el$ACw|RE07Q2k!J?d5jWwMb8>>I<aOe<zdvg&pAvd*ykKy6<q2)=9p|xO$
zF6thdm{{9fUG@D1-L(b=&=+kvuF^>@`;;-)7)O_Kt)i@K(*a+ZjOBhrlLJ-}i3^oJ
zo4FM|JHfNu7xe7!=WOgloahg!lcgMAhJd3P9RznZHj`(0eqmt&@koz(`WYTr^~ID6
z!+%#D4WhN60;>*>kDsc-P&0463PMtt9hku-`v9#*@)6#U<bu9#`gu{h96h@i>23^d
zA|Sqh-MoCniFy6NOJY;C_uxoqPOPS?y85CXsPqNQ^(SC^P%;!fa^HzE?jIW3Lm=a0
zj2$CIeL;x06d0%mmIVTm18qx(0%m-{xzU2mB~}s`m!6i^U<0$i;Xq;xxPU46q?DG6
zJeesnp>J_qe93wA?J8g;371)Qj{@7s2qvbw53;Lc0>ze>M84$F-w&rDM#;vD^zd$V
z=1#+ge;v3EVV6&O2&Ye3cbx;e{pYwmozIwJ=v>n<+X#~m8IQlUzm18hxSzxhfd~M+
z&8};E?a_ai9Qr^eRohZfP@t??fI47?fzh{Q3`U^MkQ3gWg_sRu>H*eG3}`K!N>J_S
zltBi+tsi&QMdri~YfBp@p^squN+cK3Z+&ka%a>X^IAk~%kG~D*CY$3D23yFYv%A`Y
ze}~M%Z0&FR;NW1Le(NeUboT;aIB(r4@;YJI+uvWev9)z!0cmD<9|Yb6em3CGakg0K
zF5GUN4Up3$RK4y<EcP#Bt}AVDG|p*@1z9E>h<*@j$VN+=bv^=*agQ+<aLMrHh;JcV
zTAw8a35^9LwBW{h=>LSV`=TAMX!TMzFHSd|^uD?dUY#RP$;Sl26xZ?bb;#R}Pw9Me
z_?o@Y-Hf@m7~4<ymhIt`Qm|w;-1!fYkdTMWY(qY1LmJ}ic$*Ij`@x1+j2peSa}~JR
zaHH9Eb)(ZmLlg$UpQs;|SVh_>Ni_zh;5vnOh!!ztvQsXE|6_wuv=*$<MH6>oFq0P;
zKtR!UP~Y=0UE}YI-;%&t19iSWa~lBObD#FuM?nE2sO08)X$V|n!<m%q!xMuFWEJoU
z1H1JLz@m@|Ja6i??!LD~W=#gN!(DgV!0ytfmWqnY(5)UxfS9Y_&<imP^?Q^B)S(X4
z@%9Wa2k7D)=whb!w=@XiA=a%apW4lpn@l%v*sZrICp|InT1d5$LOIXM=T}v^m7@-P
z5gVk}@ywJw(~paRjdU2EvcU!;`ATuC>$bMG4;=Sjv%wj02J<T*D$_=`n_p@e8#gxP
z=CVvpOc;;ga5ahpl8AqZ`wk=DXZB}2o;Amjfv7ILlQj81QJrp%(e<tIe3{##{fIMb
z?DTyeQ@?^)k&@1Qdb*W$y5u40Z+qfbsqO6TseYYH?(SM;AGZ+NPbn-j$Qjm>;HC`Z
z6Yp~h&4MZ<gPcwR@8--gnTA%r1uobET@iH2IKIzqtiQVL#hu_5#<yS((_*Gn9%ES+
zg&l%inN?L)MJqAZ3>=7VQ6aWwt$mv~k{+Y%_>eF)XqMwtP*8AKk%%RW)PM}=o&}_`
zxJNZCR{z`8-T(W?|0jX}qY{X<Q>n*?ysbr}(HuB;@o0TN^~V$^<5kzML!L!vmk>Z+
z+4p1dX1mfhAP`zdz~bP`a?HXGCAp9rphQEXhiC7Q+$c+M^8{#30F<6>Ig$_(OKoiz
zW5NqHW?7EUF%YI8qJ)J<ImkiYsmL4on%mmhDf>xH>mcsK#LP6ak?V-eq@gh!xEtQ&
zdq}Tn71{AbtseiG$E_P5CV#x*9r*KStKSX7Z#W9wWpu2^@6e5kiqcV{@bvFw==FqD
zJQu1qx_YY$mGi2^-R+yI<QN&mqRQUBrh;!l25dye-~XIHtFJ~Dkyyn<L8M9&{Cple
zMyCAv;d0P3#_!@y8cc&*>$jp4)e(J$t1wSS3?mI39mZF>T1rlp3aQZg&jJDv#z0GW
zLt+%)ER^8Gk3@tNkIkFM6k|e1D8TrVoTr`@;H<9Rr^e#5hlhW4H$`-Re?M8dUVFe6
zCY&cq3xT+_n*ag9mr3y;?~Ex(ZuG_P0UoQ>@$vDR+o;|oE~B4-zAOsa7wP2I;Wkl0
z!kDj;%AflaTG?yZ(C?gHmM2aRPI9wm1P{V16p0jPVW%a%^g>d~X8)mjo*f%#{Pj5&
zJWs@!FUJ(;%j^w^T885kKi;}x6of#iOR}?HHzN%YQx-c<X~{sO)({jD(yc2UkMkRo
z&Rafw|KqR22V4YZHh*oTd^YNl(BX{_KVD$R>>~L#<Fp?x>%dxg(G#Os?7{E2KpxSB
zZYofil=#;-HJ$r+x;OLK9N#TEW2GQ6@hRpz^=tmLS|8f(5P582WHe58n$?#ofSDd0
z_1^mA-uwrgqvX--T3}sisbe+hHv#F~Aq~7YR-4@>2Dw;_;vyg*;4-RlT&H<+nw}I+
zOIA6}g1E1I(qPiy;jWUx``Ucv>y3Bi0#gnpZvPg|$HuyaZ>&4Od7)>ur~?;xcdF8v
z**Mp-Ct{<Ztn9KqPc`i;yFWQ3mWgcyt7KDKEr|uth%_{s6H^0N`WHmwV=SH1ftvrO
z&zk_p2HP?oY#&jre3Hwza8O-cEuDK{!bp|kM)+>+9?1<jLINR0O%%LAYcm-}&Zf5S
zB@v_inPYjAWfJ_=2b}c-Fq^m`=H)b?Yu5+=l3Kt}#1ft2dsSC`2g0KIV5TnQF&@d6
z1-NG#);rc?*cN0~10*Pj`~$za1C}h)N~~J^o;o<3rfqFe7C|5D)@tbcLPq8XIgrV1
z+|W=0=xA7Bp0E``bh^Mqu&0akp;G;C(8K{*qhyQC-~V{!g*<%v06SI$j4RON>#3-2
z!S8ZrP|BAymX+}^+t@v(_{`Rs!Tb8BTp4csGRWHIF-5(n%G6B=@{d<FO4GKty$Yp}
zTw1NGq#C`tx{8CsrC4m@k(7yviGkkR?Nm9y2NSVlF$Q)m4-0zSCzZv-#4f}ZoQNQ5
zt>sllns1E9>Fv4;tetG^6gK5tjm^w13E|!1%#xYLPt^zJfot^Hk5#ctIsg0BNguOF
z3ZnwWMiCItETR@pi4XmH4f9*_-(l>^%8IQdeV-Y#svz1=h=OPmFrfJ`kFJl`)C51z
zCS!LF+8PZB2`M8%#Q-mKM+hl`Mk-$`Po)65SK(}O$c7!W0*oNoJf?;IQg{j7{*f!t
z@xav7h4l`NYJ>0LM(NAPRlV+$5iE%Yc7eiHz3Jq1;uz1b($TZXdE?lhv_+soB1D8U
zn{cCVUXPtbmy{%GdT{5J^!x$BvGG0i0@0-oD65Xj%#ZKuuS--Dm?%s?ML&hvzNK9Z
z1a5`o^WlWVa^yJH@Gp%W=#PzQln9R<Bvl_QsXfJ@Q;s`BsbD^4fbxTZC^%DXih6eA
z$^k86rZ4%>#xx{1oEW+eKdiOgxeX-;%}R+}IhUq}hO-?|c3e>{Ai{&fGXbfd^8gZ7
zRP8W+U(B3t9Mnlq@7%Oc)_xEs7r?P>4if?+J(U4p33~Mp%;MP1MG*%;uyV=};**_|
zGu!!!cZ8*&zOvFa2#JZ_bsBm3_$j^Qw&d;Gw;8~hwFgd_so~v^N>`;o#~4s&hb#Ti
z<^Tl&tO|>*uBnk0`_;wX=?sU@GU42%pDas*fV40hkPL}^p*e(A8l41gw(`xPB;h@6
zO-;=-BP{#R%gbOS@U2k5cEt*_V(%YcUCU{)gmm~Bk1uE&aa#UGts7Wn%-cCRk?lzf
zqbDj{7klYs&!TEq>xIRmD>Vi%z%ZJBm<TK>fF{S-Wn%E6+#=xf+RV04dwV;6l-!g1
zr%Nwa*Crbd0SDZN&U~t294?RvN|MRE>>E9M)^o*ina6*ieJl7mS;+J3IG-|o*m=$O
zbWzfWbTzMdz2s$O+c>dfp)7*Rg>l*$w7x3=S$#MiV8(6WT~naqumtNbK)J=>*HENt
z^ep&b)g^h4Gnm*EtkxgGR=yP%pSdVaJ%w1*Y6Fk*sICDC%E>NwyR)2cp`kO>N;O@?
zc`R&$3^KqqUFP6gP?E@hIOc(grVDj%uEJip)wXD8YVJ&*$IxNw0;)FY>SFMCG<%)X
zgUB0D2a9bbHI`jT-|yiEcR>Z#URVKZaEj!sVZ$|;3=D#BQ|&Z;p}6u@t%)5F0fDJj
zGRRqkK-_5{qtcSxcyunUwD&d+RV~t!9sTPupI38S)vwik-QedB^P8Kecx<Zq78qF8
zh0w;F%k1FFDM@ZP`1<<F4Jad|UYDH5fUyIi!pS2x1iWSXQWDmVkm8>p<c4$z7C74F
zuGwF?{WMl-7PNaXGYR@WQT8!52=X?rT67SrMD6E5bMrbW4M*GTHi=+o7BcA4&Y|<%
zOsLQ^y0P`nZADRxa~_#b<NV{I7LEdq0d^(78QwYQGtle_AMWivQ7Q#@fEYB%*GH`F
z?bE4%g*!#EC+&&CvTg=H_Z3_^2bU_%LF{M-qzLwW+G6tuveD`M&Q$Hfuc5j5LIuXa
zk2YqvsYfQ4prm(wnu=<G+t@leNv}+cX3_#FMI;_AxSKqt@Hr8gqK8=ImRp01vIQ3v
z(^Qg(7Q$f1f-+&~l+=PT9tcvo*=&446Bz9VYW=@S{Etord0yY*s?_f+FD*@3m-iAm
z-Lzv@&r9&2f3}W@V#o47{CMT}(cS-?3=~5VAvBwBx{|nNK&EJj<TF#+ICMowWfi`Q
z3FbqWdmQar@j{=tm>g2WuCbs$o}av2HLx>*t9hklmuET*0SCP7(h%|lkv=PNuNcWg
z=R|^ugO?$*lvV&8QI^<L3o*oiV;=aQ=sK6f`Zy8^ER78ViDlV27!$&b8M0TFIpoUm
z%!ppKc>NbL>`VU~z+7sc7Bl*<9^Y&!gAT+c>3)A9A)#JC5~Yj?U|XI<NP%(e;b3%h
zv~=cDb12{177KRlYmWVC0Ludz5J^*he+iipKjC<!yl9_u9xaFg$?{38HY+TkB~YCg
zN^6Vyv1tcNMB4NiVh}I13c~0iXq<i(YM{0Tc!~{glBf_`d!LG^7*$4V=?>}e@(yrN
zHu6o6W&`3UjO24=2IWt(@|f_?td#V#CIbrJIJqDyb}G`)tli^#i*Io5t7>k6ozyH0
ziEdUPyGenHRc%0=4s-0y3zcA}Algq~nuannby`KT(=E6w41C(`gbFlW{sZ%Q$w$SD
zqEn27)P1A!nC|U4FW{Av5B8!?Ub3oZ8Z$)6%OWgFOr}5<$>H<Hhw%1lP6A^e192{|
zb9+Gq#9Gq<P?Eiz*SPp)b4~^XnNZ(xjZt#vcnpO7BU-0uK;ZXy)NTYSARG1?I`yVE
zUG$>2w--G(NQnN+#i(rgtA?gSsV&pbbA4?1;j#v7$4i3YfejlFVtNv7`uS;F$skz$
zHmv#U*RSfzE`Xr!9!vu^jA%{{PdPQPGgG<9lvHWdlHc~6dT{gsJrsSXD>m>ELoP2S
zba{Q9?x=neM2!^iDXr}PKcT(Cq`~b<9u=7H%ysTRTAw!bb={eX7_V`X9@9^R#NLv(
zui@Vt^Ux0dLs11(gqiVjO<$wC_{z+}=0l@tWwj`N!eC_Qq^vX15kTSPTwKi>sCU~G
z<Owsf8z1m<q8dtlqmcA=>*23>MQl?1sbes%$;=oK14Nrud7*wW$TSmN(^F9+qz9-#
z0imzEOJWg-u!LH7E15;3cW39?$ZS7_49;$!?P^>k5fKpu9A8#?E(W;|yI)*pWw~yA
zPMeSv_WfK1`^-A2oc*Wii9>erJsa0S!)-fCy}iZS+qUv_hu64N2fp2`C}_95{(?4H
zhT46?eW7Sp@1>Qz46TL*GC`<EvPIev;0Fek!g@_iV*-8p*beua2a#6ZS$&J=Z@w-y
z@-0yI9b|%m(|+rAQkL#V_7m!ePYLmt=|`^ey(sd)!)5vi^~Z1i)M2@_oSP-xmj3u=
zuG;nV^iUzzk(mvtSA@owqT7qkeMT?boP2-swJm2kxr2|K<R1%oyyLtE>}BfDAKq1i
zDL6jEbzXGi{$b1Id1dcT;%@+2l1_nf4q-Jl9R@6D5EWO~U9m5d(A}VkQ+ofserZ6H
zYYOi!3ktMzbZq`!S0^g6ZP`#>UJkyt>0i}Z8Z4e2)U^1|E%hm}#tXJm1>vN@z*Cy%
zY)o!uuYpzQ5F|=z9C<r=wD-TJoYtIYh2X$RcX#)P??B9d36i`Ka3R*W-PG(Y7yD&d
zyl7)Qa4Xa1>J7l83a#i81cR_@k?38P=>GObO_kw3eK}-$_gvlmyaoMYR|n^`!rc<S
zHwxeYI&$HR`_Clk$%KW3nwjD|{qA}VK`YnD0*~6t@)yMc0?z|B*C~!9-|_e`?|<j{
z?#;t>2XiXzeMfN$^vA)oB3(h}=oAKUbSZP%P;OmaT|svCjN_}+S&_igtv0e2*Rf`5
zc9^BctlXP~VbDf0!MllrSjgehPtkryU<ltFWp)3k8r(V%24c%-<zOU`P^;#g&&QzA
zQtob^{XoT(<ZLu)Ydx|zpbQKQG3PU6fg{r+BO^)&atWtCy(zOIRO&+wqVp+W1X=`c
zJ=p=>5p}cpYM!|OcG`=61%`72aHSufDQpN_qxYV>JKcZz64VGipb8~6#_PV8c|BlW
zq_?TsAto{=CJ+mCee+{_w@88B+rre<)m0+CQ$mc-RNp#)q_v{BV>95e0be1|lsz>h
z%h?o^D7&DINExYOy@)=$AP)?f0dlD`FKlMG8^<oRzG#@T126AIy|5+<M0<d<IkCnY
z+%6`#kJn?7ws}T+1af@u)h*l0tx#!NS-|g+u~v6~qNPT1IVJy}Uy<v2xhkf~0S<>J
z^1W%8712XD47|A}4GQso=x+J+`GzN%`l;|0n&AKKufZQGv(u9VjSm0zBi`lbZ&#|R
zOiR&R!qeV%=l=Z|eQX-~0oojny4;;O5I(hf{2ajL#Jh`+?jD~8W!2I~C~oTuFJ)(Y
z2vpZmg#Im`UXzeVUodBRb+){Be#83gF8f2=wcU5V@6_vQBRUGky<OkQo(h{6t3Erb
z-4vDxgKxCa9NnvF{Bxcj{YfH!S!F8|-_P!!`|Yi{rvcdV5}Lg~>0@DSX+a0^6Q{7h
z9{dNPN57N<_-^+DfVA{z=T<y!ybX8J`*#no{xzlkL0j6p>i99-7Mym`WMaFb?{PmT
z6Tt={7H{*~)STmEru<j0ytt_sDWL)oIrSN*qsz26%m3?H0Ai6E^V+y^vx`64p=?a~
zWoP7#__B+CQ#4)$%zU>b>9pnP=ODXQc00N)sGKCwdxbY}Oj;i8jkP=J`+3CZ*|;-p
z#q0s(GpqGpkC{!f;$FJOmzuXD{ISK`cZ+uZ9qNljw`ql<k9RNHBrb+VD$iA?+bc|e
zIPjeRi2TLH)V>h_utqc!nw_tWd}sw>bYAg~Y~yd`4k!3{$hOMC+0hX=FyIwQX6k+C
z);i)YAHo`w-N1ZNpSz;B=F|R83a-o-Y<vFQ@*!&Ovp^+hhTL%o<M7M0x;((3>F5K_
zZ0LQ~AeZO)`7vq-V$el3QX|}Ur`?6CVGH5^?0QbL^whS<fA49Cwet1tvA%%G!=Y^F
zfPD=9874=4r-cwr+>&r@_u7TTfo}6&;fKM~+n*HU8W;e^O#(@z&|ixwf?ndsB0LYi
zh;CSURD>s`NQ;lIi_+4%9<9%+?-pSWb{nJ_B*bv5kgV1ju8HFcGxa{eA;Oj;LEb1H
zx<W0GbwhU{<mWXqtDb0H&if(-n<oXbvuA5@Y{$o&hXO*TZxsb-e>pq0GI&uj`1YIS
z^ZHyFWcKwk?P>>xf;Rfor=&$LvT<KRDJvgU$*G^!_c{O73-k-$yu@8rT)vX|3QXf|
zW*JKX6Xp7U#LX*Wz5Q~s>utJcTu&S1FN(|O!SlVRA8#IKi5Hw2XG(abWJy+JnMwF)
zn_fq^Qa_yaCIr?E&%eA4KpHt(0IQ#5lRh^2-F*nj6YIj6NbCdq)uEQj4{*}Ui!HO`
zmKcf7neMxURSJB)G)qUb>m;Oa)HtuKBt9Q(x^&Hby6G7wFAL5;6eDo<x1|#2M=+R}
z*;;;5x0`z+&8nHYp#TuSJd6~^zGoN(4c9#!=kInRDgRz~qXi?j9wXu<($*q*#w_i7
zMC~2N#(O3iDAs6HWGXkIVR~z7Z;PlxxP}kXf-ygzfcBKPCiwrlvcMmK=R7TES^3eW
z3cC*I9?qjVLFvp2GJsSjDg|`O?=bEwq`P3s`ng?Y-+g*BOXQdIWsCIgQ1+R<DWMma
zr}6GX!B^x3B8NEuTCMV8Mv8=i;AdU7K^UV|AF0;*p~^9a4ob7AaCxp5u)P!zZELni
zLp#-)f%7w5REkU0k-9ZyFM#5~AC5KoTvIMABf`5+DDX~NQWWhOuzNj5%K2AY0SWK>
z!@uqmJD*!rx(ETT6)iwME07ou!I^KrV7xx6X-wlwF85x`chd9KlQvx7wpBpjuYJIz
z)+^mC&sihK@%tPgO0`>0ehEbn`SLXi2~%v16|a5zlX+9^6eI2Ymv{QKhx`nel_j-9
z91{4j4F#-`LCyCL6JCPyd(T&WnzXA~sa}SO#RugD!U5gyXS99>nMr!Q+q_r^`#DMn
zx%>b(#bod_nW&clq?*qF(k3xCu<t?SKFb%Pyvur?+18rCeUTQgy@F1eHa5`|ziXb7
zmw&4KzI~!dI|b}|;XT8`!*93#=D+Ky%g(cY=WfFHzIl)b^Ois0^4G(Qec`|vb@gaU
zQgNtM2%pnJwcUl4JpR3cXSrE_*BLUSX2hQnF&eDT|0IC<9dy(EL8Ivc_QqRwDnqlF
zUFS|do|dO4JCAo=!qM-6u_*yXX-8kg3GnseQuNCciB3m`;(sls_9`2;24zW|F;8Fi
zu@Nb>bY$nB)~=!m^A6iyAa72@04yn$>KJ6l7R%eDg^;9b?02M~L<uYt?);AM@_QD;
z8SZjtDEra<x-$YyV`}-Y(7M&**}n3IPw9E7{>1{r9#ePPMa(Ri>S&5~D(Y%H<l`G4
zrsHpQjZ(UjhX(F!Qw7-2QSWM<giiJLrsbF3`3^u`6>~?c^QmSh6u9e*X5p?*<|p8w
z8}|kED)R)wQ_pH6wg@&~pPtGNGQ0!ueIHANg%F*7kCG?$^+Q}2+YMICU8pK52^&_P
z?{O7bIlJD*S{Sm1JBMsb9&lC1bbInVkK56$zcuwkCZerbywwf=<C##}0^64Fq&Tv@
zu+jLbbZ333{tUki54th99AEmOWW@mL3IJJ7X*jxH_sMFP%F_YWkB#=9vs%U5$o9cP
z>Eju#zs(%Q77@4nWnchBJ@qbr&h3$d^E!!7({SgRv$@EjaY+qu;qpc)oXJCj_oU77
zCJZdn8TzID=vHs!=Nljt2{<ROZ+<9PecK%z>u>HZqy9eD>9gHN=1qLM0*;d;Y`;n1
zFVuzcTY5&xy@wuAx^<LSR27P_Wrk=zsSB1bw<>NA3-x4;x)=wK-MiMCmHaESd#Cgf
zdA$P869A}{oJc*uP+t=LxpimH(71{b#<Auq`rV3(bj&_Id9HCoM5p=Zt+$OI@`mt@
z1;sEuM{>VaZCJfd4~wr&B>|*k%13v1>Y;xGj+;Vs=rpRI6mzXD*|#=^vta^NE;~{k
zuVB-dH1|BFXj`|uzYsDmp++U7W&W&gu-Ge4^d0Zs3x-YYOL!kK=pX=!VBU-AeHlN(
z7RVmn^~U>D+=};jDkM4tpw`Ma>RfE-TvwyLNbB+Xj$){xV+*?0O!Ikr_Zt0k?nb(c
zlb0U~=?aJ&NOawe)@3+wZbwi=d@f>Joq^W#_SV42TEc$(7&xT{viYP^1C(5zFGX4$
zvWDnWZMtQP*Ir&&DVn6ZvtUQ^z*P!PxM7a7j+=If0D`2Zt=b}RB5)OYhpQf$NMqL3
z5zD8^!hEk6K%+C6Wz3`qG(W&Mm?f){dm7F$V`g&EWqXK-i|s&&A>`jf9;@nL6Vjz4
z`>yYeTtC|*qEmY8@HhV@qYnFP8nEqKR|XW`CtGm%-dpOOCCOrsa_l$m(zMZql&sx)
za{c%WT=n<BGoh0MN|{MsfYL_XQcQP!Q3=x3N+7xYRh%L7TT*S-A{VUx9;fk^x#{zX
zU5HVrp)s)vk|aU*eNCXXBq`7PwIBx*z2dhv#{J5}N40*=>v1UWC{c#2Lj{h}D-J^b
z*RSR%MH;zl>golQw5mkd4y(}k#hcNT9^5TN(+r`l>=_Z-U~x74w&d5{MgWyv9R5@;
zeAmzGE1qc@u@CtZCt|8h@nm=!!*>VkMBliuglfP_>NvGdSP7s6k%Go&`)@LXG1dCR
zcjqTIykr)w@~OLyS<fGhn*iQ!0MYKS9M|QXK3Uh3Tk={=t9`PiSn{rgs$TJ{UyUF4
zraWu!#{yvJ=Adj+TB*!&;}LC>y~Q?i%Xcq&1dVGMVXbLqdx)R>W>&9`E^DEm6+1aH
zt~*Tx2!?RKv;NceHSa;qBQdV^PR3-e(v0G?*}oW(8U%en=o`N)PkHeGY8vG%C37$p
zQ@8&xsX75IXl7Ly4hjW=N4?YF|LW|ng?&<79%~$rf%_BP#DDtY{E1TptyTWO;GJ#P
z(SL@B;pT~0s?eBN`sN__5A7OmW=J_eDC#+`u+nOrJZ?OCH_hH!<0q30S@M&@-1QDt
zXI#IuOT+`W|11xiu7!j)IB(%s{lY6wCl9{ovnJV6{<&R&73qWwTq3Fg)H!kYD0dr)
z({mv@QW5U1vnlt)7&0SmTY8d$VGBd_aa46lc|((XQAuXHMi!qF<UbFIo#}qLQK9_z
z0aNqr+Doy<>Y0fRkq9EE8zkZ*(ifs9rDRfvnO8lC<-fvy(N~w`cL=_f9F%8^tKC8w
zc8KQ)s_2;n+$#BzBCbeQ_EvxuDF5NOg3v23F31gRpX!~xB>9yEZSN<507|6mO)zn&
z@GQ-x(72PmCntBDrskPK*t&4_hf3lKx`gDK(3l#9PQKP1gV(z5wEbUZnf!u$muU(;
zxPU?5ja#mE|3=Vvq!;AVQTldlB(2ph`IQG%YinV&_3O|rNJxYG2M#7COyU$B>+A$#
z+<3@XOP72iy0aCL^q@C`3L|j*u_iR~TvE`CT(tS0`qrD`RS4NLPybJEzxZ{1cf;v9
zJ9;*LKl>%-w;)y8T<|o!5A+D1(j(~}sg5kHKBKWnwlNivhJE>E#bJO3q+x1I37e>w
z%IN0My^Wo;0^lE79jDj65HQ}|sVL6fQKMN8V>G(YTCg*pR>o4^jT=fZof`>1UGZL3
zq)DNJR9or~X<oz|j3WSjZ}JmAa}+|BP%vH(So!ZRZ1#P0#%U1gyDzvmyJyS~Tm09~
zl|JHxjQ^xPZj@Ok=%XVcy??k5@Mmjtfa{9z-1rW_ojGErWb>H}*3+z;lblrNx`c8W
zyz_f=nEFa<FX1D-t0^f>;x(n=v1Jn6M=|-L3ybfkepw)JuPLQmYixG_w~nF#6uQzX
zL>8;Q0b)Eaj9K556ZKpQc<#NCc(RR}tye3X6IWb(;eUG5@S(di6AOqW-tCu`hbCn^
zqxJ^+%D!KDZ~r^vBFo#bSnLT}oX|i%r*r}qZhf!zK}FZZeIY&Ubu3y@sMF}J?00&z
zR}2mEoTra@fPv*YT-8jwT(9n1SZ$bAeNVDZW$|=H44Y!z&_to7Ie~q-j_r>CnbXoA
zEvGmCvaPCqw|#x1WAo8|7j=6#+E$57kI&<8(b`D-TVPt|+KsnN1uirhZ}N&$Bgf1#
zsm?J2&~4X?#z$g`POmSIxC{|j5sjrFa5Gp0D;z}e3^m=B6x>;%y0Oq*aJ%CB)|*NF
z8h+lP8B>6juKD!j(8Ii&<|?9b)I4pg>=ev38>DRGC&+z*>1p}XVwDt;9Y&G(Pr`of
z!M=GdYfaskf{Hhr_idvI^rz|azr?snw-h(fr{8nn;sVPiV!$(yW$hLl*PcWEKgQlV
zsH*mRAEp#(DFI1I>E_TVCEeZK-3<nyG#ol5r8}fSq)WQHyFsMh`#hiT@Bep(8P1%6
zz4u*fU2Cmtud9lIl_1GjJ7mYDr}Xt}s>ekO!rsMvngZ}wBkajTkwI8S4*p-8Do3}H
z!&Ehk!{l3?TRd1I&70V#8)k*MMyEQ&!^E9wy>7_c@T`yuvF@bQG(FTmU5m%4laBSn
zZ?vRdE<*%w$iQtWC2~&wQ9MvJz(LrYkLG|?I?Fk?F7%*eG6he`YS&bs+=X232|LEl
za~*x%9g;BUe_L8P2#?>;V-*xm0Nc*0+VW;V`Ho!Y&_a*0`#UdgOH}{p@{x7n;#_m^
z_H?M$@+*2m=jGv!KbSM1|2GH<GJ!$%`*>p1XIL{-R$}7nh?AwCo|HX7zgsuU29XR1
zF6!dG#L{20Q3AbFqkwyS_xOH=sOA?^OM<6^p!QizQaC}u3*>Xgpg6({?)oSuXHFLE
z2K<#VQ=>w}uIGIQNDZW8>{ZpwHpK-E>|A`S$!Stp`m3;&qof=KVr=+Px7d|0syVer
zQ*g`v&VRbX78yjfv?6lF1x|1g^tu$+!>%#>)<x1s%iMe**1I4^JBefmPzsGsg5r5k
zRYpany<$b0^S7Txe_1Lxw}Ts#^xd<=+TgvOBQjciNXZzYYZWpQ?&`?QcL;&0rN%Yb
z)`mT<MF-tdD<LXv)iheYj{^a9VK`iPYE)q_aW_vx@wal&C30^;Kb+mM-#$}FfTOWV
zOhGDPbUo);-S6Ua8X;V*X^|@Tyy5OjaXnQ%f;j&>yNG_)wS(dk7tYiiv!FVC_SdwI
zsKw4ht(RD%9_&nDuCb+7eg-{ktn{7+x`++4i)b<xsZS&$^mNQOvfnS?FWvJ8Xy55T
zOmVPdi8kw2P`|)i(0mHMxpBeyWDt(FLq1knhrQ4k-4@-m6e0T?189d{J&f`@rNXNi
z8+N;?3v1V#^S09&oaPNo8vl%LTdFI64og$v53pZiogm!#zQZz;<p6HJrV1k6q02Ws
zsi4+pSyN2K!)G+KQsZyd=8FyVnj>bbexR8epw78&rP$k)dhmY|4j;b2{X(0TJklMw
zTXT6d0W~jr3+~=MpXoc5pz@GndN%he%?CGl>4(7C{Ef?%Jh#Jty0rKOj)h={3$R5X
zzz3xUg)*Z-nQY3HB|=QC6p{Aiwlqs``*<7nLe#|bh9c8$;K+i!G2Y1Ar6EiOV1W?O
z>*!kvW@z1C^5(InLU9WXAmw>ij)kBJr$y`A$=Lhqe8FyCUd|(%XB!=p?EX+3qVS(D
zsxwt25WdiNs^1EkhrVYqOs7=O72Nv9>+2D}-;aD9e)f3A4*@;nW3A)K4B)q2;418^
z^77}8z79wVZUSiYck{D(sD56k!J&m5C1;TrPK&{l1?_8Ru3p4o?*2_e6LkZgYud`P
z`}P^{--4c%4ocDRKt#gqUtTDS(PAo7zftD^pYlisaqrHU`{K8AZ*<$HsJBz67XLz%
z8e!tYa#+1^CxiCPHsu;9x%AT{XigTsc}Bkvl~sL;@VcR^+}pQ}Nv?4=<sKaSzuFF=
z#fz=+Yu;Q14k{1}Fv65qh*YfbuB<OV9v0_>6HIedy!m3ok>1ktH7hg3&zpm|tGA9)
z7ECF6gx-tN=Y{9mLyl_N1ACR<t5WCcZt>TIE3adh%S3xsuEVI{lbJ^=pH*Z0*4cnh
zLSzssJA*rDT8Bc^Lr4X+8Z==M4|WQFRCeI*5$}jW$8%uAe%d*Q&D$iH@sa{uT!gYo
zV049Z(=t5l1?B)115<~0`#%hbEm-d`^&|M>6lqoed=I8;2j`}P66Hh%Z`50Zm1pl>
zeCK<e%oM>)XRcr$qwbmmfLgfsTkag{3YcfF2k8E?FO+SYxiLFR4L@y%4#mg4$hk?d
zzI%S;*8%VHJ0Gh?-7^p*;`y*mVT~XJfrOf7h7YDZU4=bwgMfk7fJ@NFZ2R8%4|$XL
zK#{D9Wwg~!(dPPiZ?_!F`TFovDko;MSLHG7zw4r(K&$9$dMdajvZ`1IqpMiBj*Zp~
z5o3#Y+=LqW*@Qr&*$jef4NO2Y{%4!N@G6j9G_U!kCAl-Q_X^8fds#y%rIWqukkHzN
zl`?j3E8r7k0sYVfZjew%Epx5*ibsPyWwU$k+lgY<B*rJ$y##xKyZ+oE>q=!=|3OQb
zvDBw|!sxb?ZO!Ph(T~;H_fNMI&<At7eX2#XLYC6Fvw}Uj+@5`D0e!0CXK^A=Vg9j0
zg}lR`S*!Nty3c;YzorzvC%X}2KyHnkDiy5O>q_`7cry-p?LCqKi%y~v$%yidwvWT+
zuwU`0HxnqPT+F_*<wyI+U}P|QEo9jU^g6z#=d@+pkkA><TY2k7W=4)sAeQb$tX*tA
zO+nb%swY~%iWfxR%}quCoyGjr68SQ4R;Py}<yoHC>^hRXgGh7BjwNCCh6Y3;G#$FG
zX<%&0D}|fKZY5ZE$ty8Wp7n$c4(2mf32E%W&d{Hp*-$+D^YUy0PkF?&Ao!k#aX$L3
zsW+moqn#UU9@hds%_zmJPN@VJO)Kkm-wHVk-v09%LFmB>ROEaQMzxtd-j(K@4v<dH
zw$1Qj#(T@!U^;;y;wG<i5b{UDl$ZyigizQjM(tS~RjsKS-10?hf1meXy+{<=v=F46
z=v+c_d|Focj!U7jl~4O!*k~e~=9SUlFP%?qi_r^{Yg#K5LiY%oh%iZ}_4wrlM8B|a
zw%sFY_=A>30~2!RS|Py9pZj}7ct3lfBGv~oG2#k~KfQ5ZJ_k8gsj0tun1!E+wC1q8
zZFe*whLTTz@Q<I<aMUfzpXzK7Y#S6e&R@!C_%^yJhk5m-kvg3sHpGxEbB;}^g25qy
z{7Uf9&d1k%EcE(I*b}8x1bH@oOb+EKBy1zhmq+F9KtKhX?~Q<@E-1{!2>EA@6@=zF
zlw2<`vEK6$)_f2O%S->6w(35#y*QYd{G@dfPp@>;(CB5%eDsY<#<+!K#dO8!Kq*|;
z8DMFtSVEFo-otkMUARINFJ4CjlEH@@1AJR)+vNGzjt(_sSv#ita4eK6n?1cN!t6z1
zBTWoBjd23&#b6hxtli(&Kfm8N@!%wjE!te(@&OqDBW4h57ostC3gG@Pa<L@QezJU4
ze~Z1Bjiv`wx5dR5uZ@lloT?wN1ryiqy`AsL%srRPh_pl?!i}YP^?yYC%KqCZ>~_Qk
zFAm`<nY*f|0osv{g4ggArz0K{Xo<J?9rfUT8%w{wjNiP{{^|uBmxRAoYABm4I+!S9
zSI4*@$P;4>k}LUxnBxz}tgtsA*{GI!*(bwxGGJf6|5ZNG14lC$kxXOcn*t``h46S6
z<9~=F6WV>3oUFhNVz?N?hM8_^jV<%{u5H$(oi37d+{I{Q^xiBA{gvl65^1KLrme~a
z(yEiATj8p~vUun{EzeF&pMKXzPc{<4RN;rdXF$X|8*wY)n-0X>^4$D2<oH$8-KK(F
z(#TdP?8v1X3FANtl)0I~gDPmnw5l-wAFsey;>6m?mzdi)CnE^g<N=W-@ZaR%Z*W?o
zpo*tF5>p$4%x^&C_^gh}ih=ixkjE(UA=zH6WHDS0OshqRDeoaUyv`ee8uM<uD-wFi
zouO}dBgGDsUHUeOjFc+W|E}kZ{3#k5Yq=vvHBxd-HminW8BN(f+mTwk0;$@f)sZm^
zqgwdg;KR6@)F9NT=6((*4c{*pzUzMlZ*_<;w6?Q|2z}~adxPP{S6%k;kkpITYpjMG
z6Ov7hFvyS%IxV;SI^ed%c<gnUtV{hWg?%b~P3iRN9nUCxg|J(T&~FL(F*sKnn9_`3
z%9{+u{P;%bs(a7qaI0NdQKL>(GCr2eTn;}Dlv7NQcl$Fs`btmvSh495P>-ObvFeq=
zWlLWWED;hdl`-E9)8<_@?ppk7R-qTFe~I-J=+FZc+0On+QfaktHh63J63Rk7!<WOZ
z`!>Z?d-eJ{mW4g3aQNI=NL_}^K0$Jj9NAHj?O6=eWHpN^vJR5D?l`e3-3z;0`@me9
z+3<xp@8rHis^--8;aVu9=ITXASJ#s4O1|M_s~rY5QJf)N<bsF92L5#}yhXQqZyO$x
z|0~OS{CFFubS(2boUid@1Yq6Z>0kn7FHwg4Ubx7S4OSL#_5hGTt7*kATXoyU&jU7Q
z{I`#>86C86ATL$GiK>&V#jy=ho0w4gBi6}Io@I3m0xVAJg-ipIorD;n$Z{*J13w+n
z?P*PAO(?6S;b`)SkV6lZOR<G;rvRHEvK72kh~M8<{&Rd9#EaLWdbQsZze8?pP4?Lq
z6`%SvG)-YfZKB3B4<!_YPK@(ZU+%A~u47D0R}bf6e`%W-uw|)2^{``8HVK(*u~y-C
ztxH+#Lg;Ba;7a(>=o(UzcJ&zYt+sJnh-%*4RI}$4w0D=Y9Bzzv7xhEqKa+3xefqct
zDS>MQwuRmWeFL3cITaY!?~M85==ptwAf(APuHMwfPi#y&@*QyjF+*%vESWUo0UXFi
z<(F|E_fY+SojPUL&e4%|D!b(}pBxnxFgDvN;hX9=#ZRpH-{&1&&wlAxbfXPe^WF;~
zQu%5_cAZ%{0Ak^@-do%G=t>_n!&ADiWF4ZiU4>3?`MapBf0VG~jj4aik?*Jz?4H##
zH)FgZ2f$a=g`W9NYL}@oI~2Xa8On#qL7Ye3%b!!b#992^-5^XqoM1NnE?kP_Sadoc
za<NU5yrQLb5UJ0VFWh^5V>=HZgcSX(w;0|~WaBXB0#Fbo@v;w>Z<WTGx}|pfBDY;4
z1EP32s*`N2&DSN|;`eUT8l;X`^d=zJutda2;zNb#OV9}P<NH(RkWM<J2$Zm5O0U=J
zxb^em31M-J7Q287?}Q~<${)=+o>Vt>nB*HDcId;2`MORi%VBQw`%$aG;Qvz6X2wUo
zFH(jy31@32hk<s?fXdUUH=)4`BW){gxfFolk|Eyqo1M<W1?qz;3>IF`E3}h*rwCC<
zHvCnFwjmm>$BVqvn~tNXrCnH+rnOTb#sSV&Yn+PFdG?tRkrwbqtyU@CiPVmGz5f^<
z#KJ*1BA!>O=dX$p61~lnRQm-j@mjV>z{MR}6TdxqppPN7i8O5YX~x+8*u3?1X+rI_
zS<G;&v|r|8S@xcV-~EE!!o-1%5jfoEa?O&htA{|w(x&{4PJY^$3*M<PRX=f8az)JY
z!UhOxDa|+jbYj8Pz^!NJrn*Y^U(AEvde8D-lPvdK$KD=GP`j8|uyq~~I!%juY>E17
zp)9M+ygaKhf6uJmc3+{4n|KAcaGiMsyAq{K{6nZA;t=u+WI-l}v0*DdG%seJQN>rZ
zXV92iR8W`GLk9!9ygF%ha^a3Jw%0_L9W)+La2*<5{O4EnoSaBF(_f24rNx4!(|0P=
z5-}3)n+>ah?h?)5dk{&i2iFD5s+ee{RE)LXh(chhO|d8sz7`+7bsb#IKj7(l=9;ta
z*8Ow}U|xIo___>x;g;^7$4nCtrjqKP7moWC5y%7*uXQ2fQhe<$?$cxWuQP{Q=B9$g
zqfED}OP9~M8<Q}wpCbHA<=X!Xu56_>b}Y@2*;AT9YJKg$5h4)YiM_+`NS~*WSJn?z
z4`ayc4o1Uy1}St~zgUz9ZW{Jj^g>Z@HvG`#NZ%Fr^a3c=@Hx(U^MY{N?Nz)D+lcOL
z+YR~+B@SPGitH&rZPu!~cgQ*J{|XJJTq}a3J?!K^0{>#nos)nm<=7af((P!(tLEMs
zv59UXjUB4AX%7YYc|T~$j>hW6O3nc%D3Ai@&g_J3Hu?hu8(NZ~V=gmzSDY1Z42wHy
zIRnzj;$*5)`(L*}Q4EGxnPm+YDy!&54$V5xMo!88g?dgjj0PMF!9uQqD}8dLou0*Q
zq8iFz_lx{bzl&SaS8!Piaji2IeY9ldCBzke1AJ@DA2<2p|8W6^d|lHR1#-T8ZfY&V
zv#ggu4OlK9c064Ihy9$yVw)jwc;vYej~Of51KE-u5E179S@ekotxCP_WX)Co!->P!
zWiBu)6N|cW)sA9?DD|af$o7x*&p2?ZOBwWR!n~0Y#nSZ9q{Q>^K+224^a!y9PT&0v
zzm2<a88sM8J>$qGr^?P0`k~OuaI$#j@Q|4fZieNK!E~_tmzG7M)x+x-Ahbe5W;K2K
z`*287><P=V#>$MfH{hBs$H0=&Qz|OijOr4OrU6Aoo$L)Yz+ZtYiHB*d2&Xw8V1CE1
zhE9#7kP43|s6_1p*l1IfLgK{H@aJaiCkXNdCx)oK>`(X_ldje}s+Q@ues%oXemy-J
zX)OPk$ZR>}7yX#s%>o1SD%&KV`w!v$;9L)irKSp>KAL4rk>xv7lS?8*H$vS%lfkkT
z^fGO|%kXwz4w*(=n>W1d$|TFxWOci!OD=F<5uZgy7H78NL5XBeea<<(4yc+s3#ozY
zhi&@+$H$*DpV(I@h1~K%0tdLjvd37)k7#iB23_a%Ujf!*uR^y=CeC6?*{%%RZh|xd
zxfQ9{J@RA3^WGkAefAu6pH~|FOo#_NJ!hL}^8%XVA^@*{#-V2ui_RMI3$kgKuQTlK
zW0d!w?adEY5&v|HYl5HLEQQsoJ3Ir7TEQPss5Sce21q4od<oL5iQJR|xN5%qlTS<3
z1yB8nP#4U@he<vCF+p$G<RPe=1T|(dQ{*B%KtrgRM<YuocBRsc9B~HmiZrKtw<G*y
z@B`<ivx*(yIV7=^=hJ9t<#e@R|35(ZDjB#5KEA(~3qiC&YLTE=k-c$9kx<M{W@I4t
zc+&;QQwbT6lEl=nYV{dnSA?z*rDuO|Zd@fx_KyehyszHqY}`(mb7!6{sP9XKbw()c
zDSfUR*sft_*_9^IPG78qw>_k@BcEF}Fau}NoWg$tfo(>#er*q64K+fAsIAg^HehQq
z-N-_*(3=ROzJ6^6<wkZ3VXRs>@e;w(6PfR1`7TI^pf-f$f9p1nnrd6&%1Mo#yoTi1
zYH_L|XbOu`cSgfEE;dKwuguabKy8JfS@H_+9q<rlAow>rd1e=s*<*t<#h*V=<!#5P
zTl~gQAqEsnT85^+1I!Od8C4<|&Z}~L)0OSt>6E=j8R7^obxQY`nB2{le|7xf12&xF
zGm1f0?@P2jNwI2>1Ji5cRi6zWhjTP}`s+E%Gk;`a1%{WulRY`r!3V3SnCmDo&=s;A
zng)ouJ52PPDhoLg#D-lc?YFM#q0Cw6?0C|lYVv*+6q99o=V<zPZ@rehAbm3ZEcvHJ
z4^E3acK|bPJk=zUpk6gw_ossWUu))C8zQtqe)b+b0God$nYfO{!vrata;s>Yp4jww
z5dEv&U3`n^J`}ls4a+5^DDSOluAeq7Zl{hAUSXFBCvNC2zoOMh2&A3IT*hi7idKV}
z&k%pkD`gc?CNy9hE4>5a7_u^mG2tMmO8dl@Cr57Vg5a31@0gV%o4^5pTm#*|WTxx2
zCDw4qb9>f{UJde%WgyF9A?LFzLy;A)JN>$VN`1@Zor;WLqA_5BXb9JAAEy7!z)5lD
zOkSPBW%G8BR~8x7O*K)l@02g<VvyVZfsWpu*yexjdIECYD%s;=1gpthLH6?0dtBa{
z3h!N+fUodVq54Y4i4+x(CZ6YKPd*2?jY&I_?s_1`L~r+k#RUOWL<ghaMw&~``IzR~
z!b^9j#v)aiqt|gWY|->?-)NO)5$}MiGrXg47V+;j@>8K}Ry*?49Sc9OXcFe2yl-?3
zP(po3k#g%hJ`6^SP`W{1-fhu;p{$+|AdPKZ?SDdKmOhFo95n3}l;C<9qoy!?zy10(
z<*oXGv)!Gkj}!x^y(CV{SqyS?{)#;xyL~@}CW}1&2qnDM`=0wRmwm+Akiuq7Fqvn6
z7Cw6Pjgavb7qs?Cqxsk;jxxNRG8%FyZ<C&w6VGb_$U~Oam0Ss9&LxhxX+ukr4~>ue
zxz++c>*2@B*vnIHmJn)uD{wP+?&5YvI=a<55T62`*Sgy6d3%Ad)3Utk{zBf(^-rQK
zuu)3>eHi)e#BAospy4SwR^yg}x^$KOE5TD<(BJ95oKC@X$EhCE1vdr!9C9APB{kO@
zc?I3NmF@Jos!!M#@E(VIF3c1~yqs~X8Tl6EE@5Ev3p!epf`s<3wXNi#XhOnA;;C(X
z0G4Ymw&8jjQ@$Piyp^At)HpD1lEW}Hno6JDWH9e4nd52s19J!k;vm04(uP@pNr7`&
z*$DZz!f9IeEpNzu^0{@^P~bD728StBvlMzx7wQT5&~!{tQjoWdk8DK|ZTsd|{+T@V
zW-ahApnhfc*x?IUJx;5`q6T;&xV4~Aa0Ghi-fwPF7q?#WY|94BYDIAH7NP?iUjA{d
zF?s0W9o0Mej;`PfD3U*aZ9g7IWigeEQ}vHO+FVm@ox?GCF1uE=G`TddR=o#R+zL=_
zF8E6+O`qaFW|K0QumI!5D%657bO6s*S-@Cep3lLYI9!}PkktNOzf;Ve6=WK)V^tFY
zpDyYG<Gf!#E&LVri`zOvwE_c=PxILMua`l##bgE{E)4L;;_<TVtLhnhKn4i`s@QGg
zG}J2{?e__U<x3HY07cB(1qQzOnV@GK5@NI8r9(qA(PgWfF4X*eEp?+M>EqaQfPS#~
zo-N#@Kf8vwm=oC`kg@2*<jq&8UvT*AtOsmQZ_yQavrm_S)VM^N93!AvQ4fb9doRb~
zF;~4?J5`Uk4g6K#YT1krlN_z>S9?JGgEH6j(XzIP>$6-1s0Jne6loyp<huuO44`^?
z03Z6a43SM@gghOTT{JEF!se815E`YeM-W<~TZgBD@(uwfiH32vW_A|3n$CxP*uPa&
zQ^|o9L*|`p(+w)!bGs|9^vOwZT0NBk4tn`SX8(w^_~>*_n=LX&J5FiJL5S=^IZmay
zk<1FG9#h8LW^P<Iz|j|RHXp*Ban=vtMZ8DO2U31{i}dic`NQuN#kfJ?oknA8IC6fq
zCCzYpx%a;W2jHpnS<9X{^k|U}+Oyb~z0p1rnkJ)EEtn6Sv~vyxwU6FRUo32F2w%u!
zcEe{^Tq8s-@q0V%80ua1e_|FIV!uB)n!atYHcr=_^>$s=y8D{WK)RO41aO>Q)6c}?
zf1jS)^`u9;@BYZUNk90{tNk!u`i?B<38V@Cea!;o0TyJMgo1|bR5kfFHzULl;>Cy$
z;+xt>Eqw2MPDlwa5*Go@lmb*IyzKLZf0GU_Py!TCO>sf!`w!GhKMW*Axv1~}^QrzJ
z0)UribWW<s)0(^FKEBtq+CaeX3s=D-rWVHP&Fg8;Znokf3eF)ytqG#8)D~B-_w{zL
z%-QU9EPoH?Jtyyiix{A*XhR?dS|f^PJ)p7<oWW)wM#fAmnZcTcoJuAjfmTmsqPuj*
z&Hvged2YHas=9xW=Lu<sWs3SxhzZ+Xbfvkb*@C<p>D%&e8s5CQb>G!KR|yY{Wc$E&
zVM?XF*PH3tn;`s{GWB+lL^!X1A#)_dUWj(5^+zjXp*Bc&w^?}CL`o$Db}u#DQ>Xr4
zco%8KXrY>)cYfGl!c6c9pbPLW!Z;XuVz#0*3%~WzQf&&O|GK70_YCy{V<N7{&E|*w
zY6U^(P4m1tD01t&tM|?+n^`cY;j=JJu@PiFk%C;q)&~MJm3k&LjoJ@CzteqOfj+56
zZ=8Dn3w2O)b_Hw$8Go@UubwCDucGyQLqs)do|=o6pcEc~KV97tgskca<0KRr?X4wk
zI6;&!UZPmg-ExWh!EUq-=5BsOtFzSQLI;GM`smUF5rD6D4T==yT5$~N&Imm%pQ?Ve
z_X39IF-+OrCBE}LTGlNu8#%>h%^VvfD*sor3bhRaPl-TIu-J*3m@aV9pFh9ai@ibc
zP42VilDyZeF06M7$&(tB4)!0)vP-n>XbjfRO?6;V6$Na>7XSxJTtJy@F$e_NU0)e#
zi-1(Hi<8?96D8%bFWZ%82R@()fJEu1?}|ybDtZ<(&-bj~meN@HgVN$0ECq#c0{DrB
z1rE=5t{St;K@GzP8eGC75jIU!#w|`qF78(OblSWGc3@~!kP3UmN18HjSe3p`B=8*u
zoUc^$;_!8BeE1qT%=xldSa362Jer>3MP+9Ieq!IGPm$58Lk*v2bU0xNIDRFw1>E<E
zYVU@uo=JT|k4-@53(*F<RK-F}=8HYiv`06ZEO$%T$5?j&uC_!&-xu+^8<T4?m6>}S
zVaqc%#Pr`21EaGT2KZYHT2GnW9lb7TU@z}US$AjRRUD#U@Tv<7KqkAApKA7<DJUmQ
zc81~CGe?boqQfDU@aHhum%*2H$K$B#Zh(x<`@m<tjlq}4mA=^0d_bX(A#SvO_7A=#
zh@UGmnkm`bdADWrLWT3vKnf~_eIaz)xO5cJAPCq&&Us33oL&6XVZ4TQFWR*7vYkI4
z6)SDkR7WMu_U)FBc1~5Z;CT>%UCU-v@bvH7>JV308lMJ4hetO)w2j8)VXwSP7-4hp
z9UuS=63pPUup<qX5DJ|7!x)0hJlNPp=%B(tZF-ED16TB#+;*pji%42VvU<MPd#S2l
zGALwlHmgw;6uwe$4xS7B7V=zAMtcKZvGFuG+?`6Mr0K0T0s~?69NRgitjEwlv{6zS
z2WKq|Mz_;WHj}oMU&FZa;~2TwBX5+%m<9et=dk5X*ij>vRq)~M?tLZ_nd}czdgkFO
zP-#OYm*dr}4!obx!KR`7(aX+NAUq^~p=@d-=9#YTOyij^NG)oRIKogkWR#XRNi3xR
zw1_FqvXEG9F<i$!ZN_5EMsUjc{N=p#=Q@VrD-{bEp5JaKPJadmUol*;O#QxsWjK#(
zxEzCQiYr8x*Kd`vDFi20bz0<H0i6{IrkPG?k0Jz#JFhM*3TavlGYQq<7?Dpkqx~W3
ziB0)zpX$*LvEFP=)!3D<O-#hXXqRLL0T*b0R@qJtKA!n^*nsls>|`1R$tj8DhuHP$
zSk&rl0fV25Zuo6tPXhq$fbvP~_=HFc8qBio3`Md1&=~%Ze@}>bu>I=#xe3}{Y!WCx
z#naMwNkpyJF!KyW)-+M+{FJN5@AZRT{y88bnS3G!UXdG=*sm>xG4+t<{@KDfcBLAP
zD)d-@5=QI`4TcnF@cJpbKa<$}f^jHB-sR-r>MV;PgfZnHNzG9PJoZQmZUzb4J>o(L
zK@&l2JS9!BcxL2Bz!qcCjbk{pv;OSOiZ!*|1?okRE-*foO+vrG*YK9aLGU0hp1`|m
zCQ0g>v<dqME1*mT2te?9I6R?bK9Gaw-0J$`nG5w}4(UVsK^T8Psfws<ZR3zy<sZLo
zNix)yY<IQSMOb1bCeyAD1-w77Ntp9L7Fn|}7vF9&8c{>Q5DXm<qyX^rsyBx0k%E_X
zB(n54Y%EhLmyli&a4ZI2%>YU*encu{JiaLll-kOl(NcDo1oDP(2S8qaw7YGY%1~C~
zRw+Vy4r&?7P}Vu~rn4H&E3Ykaa2Q-jK*qV4YTzH$!FsKcd0T(SsjYhlK#``d=!jG&
zh!@3+eSEGtZux4mN&~tbwlyF$0iHFui;;-@iT<I>-=Uj^Qlii?D{>7NXerBgY_}W}
z*5~Uo7m)}@!&qq=EUG)nTzhM_dKfY?Az+KrSt;1#Cov1>n0-bL4Wwwjaov9j0*=uU
z_Pm=m<j|Qd$q_rWiHVo|(+ZU4T^u1>_QpKd)F@sT4P?sbcT!kOd0Rgy5rR$>PY`$z
zyzIg+c4%IB9l<6w0ML$r!$FlCLZ0KP9jFV+GXrFB7aU4l8sesXR7-unq;-M3I1HFi
zSRB#^#y1u~RVG0fo?Iyjt8aIWCelmF+&_k={tiX&k{fL67*VdbeT>~9$Yh*xmqeqR
z`l^<m`Ok*m=7JBIHSrc5B<#TU#1jGAQz5RG1C&Golnk+S=~rUZ*oGhPa?EkeBI6GK
zs@C+sk~OO3F^ermO`b%*evuvsP3143>2qY+MpN!|At!)cs9|0q&Y<+K=Na$FFc5NP
z=B}kt&oW?0|EQj!95;2#e@!3ZkL8~mYkEYRAdg}Yt2&udyk1R1Z=!ztW02>R#V^`F
zp-haKB?Ndq2OY@nT4z&QkR~8-52M!PsrTz+BQn_)Z^uc{Q+Dc65w&z+Tt@pP!k{kD
zBeqa`azZx^1XamHxu^V^U%=L?ko>Rs_UTrI2B6E0Eb|M8Cw9;HuzaM7KI^Z~h5iS_
zsBGxVyLg@yp87n7#eoTB^PfSsF23X96>t>;WnL~<&CR#qC7L8=g)!|}yFX4urjO*~
zBDJ%ih+-ybmR7t3_&Y$V-r`}Ax5*nP1rJa+4&~*_NqFoij$wJEOw$wk1Sv4wiOni>
z;84<MNPAC)4dcYwM#}O&9MiTo&jH%9xLJrDvHUuk-?MaC5E!^9#0Sgozo9v|YpFN3
zpWz%Z816}SgpwV5a`IrOShR_>;m#sK<){4W$8jk?$ZGiVH3)o6@%!ieOulFVl<`ET
zT#!iLOB6`ya`as!PL7eF;bA($j|Re4NpTM3&1b=(K0FJ2rh%aKoX4#@W#%RSNEGEb
zSdj7Vx?mdOPaULrAC^m&pHrH@1w^J~$TrW6ha}qI^0z)^5Eo3lche`Y2jDA4otOf~
zo#`Phz9bkTz1mjI+$7XU{R7^~Cho4y>hn|;k?cUT+yNe708;G52uvdbAq_*5wwA=w
z!{zEw!dP7Vl5>~69K4$K;G5!+gENt9J`liiD~JzBJe_i|-4@t{r`cL*s&dC}q^c5|
z*<0Fyj<r7{x{%vMSB`Zw5urIC4C+(k{G(64K44BikMluL>7bkUW=!N<{dvfUGb2bm
zq)-BPmlwJcY<~Rw7aTV%e^s2%p7TgRNjJE|o<0NRt+uG^>LwBV8zf`!E&d}Q=bQW$
zoYVdXc*ab&s^H$ZQz^wJVw&lG>QtfXe+5@8@0L0BFyz8M0fR6>y;;Kt&{AaUw_h}&
zbH8?@ZeKlg8JZedK`nr)bNu%b$(=uHck-+9joBezqh$%EaLQC9$YNE2ZhOrykOS<^
zEFElqA-H0G(1$}Hh8sIE22qPVYDBg|_^ROzV)B9l8%jEB5Br!%SYhG*DO1~wW2FG(
zr5Vt)=i*oKQ!JRP;6`<Idgp4WkXoNTZB>6;W{o9#<O5b~u8MBWARbr@QBWDZjBY_4
z{oDSLPXN+V*%&em0@#+OTAUQr8r#o+T(9kQH2L*N@STrW4M<t`(Svv7IxU4!MpS}=
zW=u>Kb1L&PzNUXED9n<5Re(x|@5SB{TF`V-ZGSS?JFf|%jY3M!4vs$yTEps=lg<{p
z$=@qZ+cWo`I~Xng6WWUnqz3!QU(BWvl-lja#RkEf4WtnlZ@!}f(*5jg+Uig}TjH1?
zb!<_5@tJdf4wZwEScec`cewz986SOAHeVgV&ler_=sP#mg(y}z*?oIpc76haLAjcG
zXJHK<<AwdWSk_c=(g0_MC*=;@3W8TBvPkeu#dZKC-v&`A^3x7|z;#~$S)k3~-10eB
zNX07ejgjt+%K<mms9OZ33P(@BaAoU@pEFxp0~6q#3C!qr#IC4cYoMZ&;7W<qQm-5P
zP3?==22tDjg~-Jn9p<YD{*&yB=)l2Mqn^5sytqZI(r3$J@2$!B$a-Uz@5r1Cu!25<
z$g7raQcd2B;o<u1$L+LO;9CFZjSqo)S?m_9fv@ib4Sl9MEf+KgLcvyYa9PC)6#D(-
z3wWEi6YxDf89P2ZitLNX+rpT%ZNvJbB3w}8Fezo#Po7O6w%V9=>`2xRVug^LFQf|z
z__$HYW2Z=_p!;2P_ImF|E8=4YqB=U!HME>sH>}5nIg7}gX108cZCK@X9JSBnq?1t;
z>l^+mJ}|u&(bX<;PyKY=Oh-f<*i$pw>--lzu`ZgyRfIgCzh;C3I$nTOAr;G;?)>*C
zD{C7PO}g3;E#hBlb^_(~!{1m8KlA&zV0eC)5}_&{7KPKIYTuj5(sMNP@d5!Arx_Fi
zXVr#5`9-jp_$|i;$=|iWCsvWiBSSRgcCj8$zAUdZa=ma_hEDMEldsG3kd=t86(Haa
zfd0JBhJ`pK{@Usqy2#T*K)~Z29iP*#HbJ8xrXPIo?T5o3ZA12fHGv^w@zy!u39(;~
z@(P~+ejjkR^W*kt1Nrt~A~gEy`sCAvcIlA*;`PAFkQ!KOuK3jqoG4=>GkhY0@HG|G
z^4N%vjqYz?#Dwz_lFwfk0&YbV&seb@gCn4UgpY>FPg$)3(a{^_CnArJBgZl&gAGi!
zdAw0a??~u^SM$=JsYb={a?q5$p@WP(qrdz>uUSOTj5i;Ws3$Kfl?wg+4u=sL<xk<e
zxDe`*z4V?RwQ)>_)#a@gZS5kpE@s+s?xnTOH5EG>*`Xeu7M3C_DH$i8?O7?eQ5VKb
zE^9T75ojN$sc~9N%_2t{_ZK*}Pmm4xs@h~6g?xG@Ey&?We%<6B`QBaH_*SIe^qPl?
z1TwLtAk*A&CL}KBX89G^&NeE&lsZMY9g)d6t4+P3nQUP#pC0)#{`l4MMwr3WLFLzN
z(X`<oz6@i8J|dhJXw`M<SDzN{xJSwHuudomRcm&EsAF-(rUl!(OzR`L-5J&+bxQx!
z!#o3Rf0YLP7U3l4H<hX4pKki57l~B*kDub*`a5Llrq%b$!Y$$!pSirvJg>D^6xH>-
zDXQaS{|mSGrl!A8c|5Shd*-u^4rE{3qECd{>mvg6x@?{wcfJZze&oBc&*w+sF1?>H
zc65G(-*gmbSpcN-Cc=<T#Qn}gYvLKS8B=6wrZ6(qaCrC~-sdYgF{&B-B5Houwtpyl
zkWFw?SmWqKKKa<p@XOHD@4cBeRO&R!;fQ-{UwVZyB^tfuvLLtEZ9sHn@!7fb_(h$o
zqv*o*rS(qRm+{c(8Aj={>g!&P<+`S;@$J1RY+SKV1aHkW_IDMm2agTx=awKU)eX|q
zx0*{HorrNnXOo6-&%%*TywW}8%Svx(qzPpB&Dc7Mt+WQ0P+O}CL}OpJDt~`TEo6w*
z-l8aQL+X-M_W>U@qb!YO7Bu~N$tzFUDNtQgE-3S6$DzN?d^Nv;B{duOfXJ1g&(eCO
z*gQ~Am;Ya_zoOqy#$ciTN4=<4IY{8+ncnZORaBj5NM9207P9`790|=gH7j;Ste=)f
z+(sqVujIQQgb2wYf2W9DB@K@@)c;ZYq|UePTFpQzXx%xalA)xVox79RA2ag|HL7mB
zr^}(O;32M6slmYIL;1Sscdl<pC#NH=>;4=gN7coN)V;CGu7@PdMJ$8vW^g@kwzTaR
zCVptn`%HRJ@C}h{H*h@OxD9q=xvXmiP=cpYG8~v0v={PWpU!QYjH&U7%!Hl<$~Nd%
ze+(mffrQhNt9_AclOWkfI~R^6efWAWna`ZRs!iphM8<`XBFN5qnLu-*<PJ{}LpaL*
z1avKGnKqn{t?77)1ZK;(@R9wnoo0`CU=x3UGHSWquH44rPdP%cU7({5YrV(8l)ir`
z)|$}~lw+j9{UG=zR<Vy2>@m0tzmj26e;*IaB+TDf#8eN?eA@?2w>eM!5_WLaAxI}q
z(|Q^O<GV>_SLztA!#dd|WlIKOTZOA8g7^pg`-!y6%l3+6)xpQ#t4TL~^Q;FLq!4F(
zT-riuYA-|2<3Li@TZjxlSi$|`ugigpdg}2U9zrkiq(^54%Y=O1OqVTh8V~Q_R&SrU
zF9c)7?ha#tr=ncdEn#lHyS$7le*>Y6H9M*R?ZfmThJVc*auC5Q5nfovkt4Si(fzaJ
zQv5cn>ZW<7C4=tczZlddqz@6^ThO!;9!%pdV4{;Mo+@kW7cZ~`Fnq|)cH;hqRN*!s
zEyE2t$JYj3ZIKlxggVP6vshB;d;5*;;0hvkbX)676i0c;l{Ec!{R4*_fhJdj!KD<7
zN!J0e84|x6G}1h;tT&<%_sM+3cuKMcc~{2E2-=d<cH!h+qAbJj7zE_twTV`rklmlN
zyAHaY=Mbe=q2Z+<`ez0_^*)3hMPp^Sg_l0bFJ0drHGV~VRwONvv05j&^EkuM|EM%R
z{!w#KR@CRFszzO;*)9GC;RWi7OvTau)Pz9OWCrgc>e}7r!9ml*`i=`WG3<%@FUkyT
z4#qeInnNN~=@?BNp#+a~O97pOjbT_FKVw!OF0a&Oem}kEFpPIQo&N({hI+3=8$wfp
zw+0&jHjagb+T5T149Y^|%2oUP6e0SPak;xnys2uXD9f(pkE;CvijslCf43k*tTVa<
zqiWX46CNK;Htxm;kCuEaENA}I*NJ4UraA7_hc|38w3$c%%V0u3x__JKAha@`AMe>m
z6QLm~0(B1P_=E9oneiCu#9Q+rxU^BP`U;UXA%XYbgal`uTflAn;~#h>UX{$LnqhsP
z?EJew#>5dg)!RPWC&=kz;mTY^vp6j~23I`ND{4<C;h!y%K3tB_aMl^oS{@;EvmEKd
z*1TqTNhS|V`m%uLK`Rr1qjBv2aRF{fA1=|VNP;!pz?>-wZXGlxI)Hy5<JZWbeo&~^
zw5jlHAp6P1zIX?}sRmx;7;QR#8=O8!bGP;}DI#xUNv2GTSB%D3r5O%$26_oLCQIx5
zGUE!_c^Vya$%5Gf`R?_o<AAzfpRPOuI5nvPVhl@56t-<#Za;IYzvebDrDsD}-X@t^
znZmcQ?A`j*H|nN^kclU(S2xMLx$s}|8!OlA)?@+?$6Ls{bpR%>b#h+lGQyzf33IYx
zkXK}?>L}Woz=pyRPxF)KR#WBTK5Jj{iBvJ6S7TGP_=yg`tSciGA3El{?A@>*SC=C!
z_RCWct}#X;-*&%;G>7J&-vmBW<x0O-IL-9ek4(S(LG7EJmy4{(fFZzNRjx9)BqJe8
z?ExQA$~qPJ@@lJ|41>?HR8vy3Km0z;;YrUo>KB?IP753+RO-&BvF<~fj_+g|iBFQ8
zboEi(MNnx#S>=VmQmqFaDFuaP7+t6Da>7Xrx2CkuM2Bo_%ou&Rh0WY2RA*7_ptF62
zyemD|1_SGp1kYJ@Ig8v<7S(*$ALXqS2~fCL)>OP&q>}-6<Ec>*b&agVTAlGXo|Me2
zD0@f^qJuWzcoSxod+88+x>;Y88(>&#Zve-1o)I{s$U2`0T}6mMVhzH+)tGPlp~%{B
zRh-XRo?UlAVIP+nJBC($t={jTEG2-?VmqZMyd-~4kgU?Fc$)d2lM<57BK+^jUe?oa
zsw?BXUW){MDE;XTS$mqUOmrJ?in?%GhdHi4$b2cE`iI8vibLU2CjDOeG}HI?TigXo
ze>$Ue=b!#5b!=u&Mj$@jNOGL@+z5yNZhZddM$qHWW=AWQPUs~k-y@d$#SZzXyjv%5
zq8-VX)I#=0yA$=T&UK!&lKod?v@D=aq<<Xd<x`47|Fu-Xho0+!V$EtH4uuN8c3sJ(
zILtmQclyJlB#aZypJrJO_iBDJsK|KrtF&G-dfG)QJF?Z+CtOy%A;8_9XbH-G7+!nM
z3Rlf|bnD};nU(3dr=ck*<mS>)+Gvn{8MwdAYBwz5*Ox+z@AB#9@W93_Zl^C9NWEYD
z=?4oJx9>vQ@LlwRaR0@-MEC3bt0Aznj(4a2D92I@y~!<6Cu<U$G5C}A`4r(Zn0aT}
zyi$`4=Q<DC+7ib6R-yiE(?hug18HCCi8pilan?|~l8A5p#S-Uf_+tvp`?KAIoo^{S
zWlzgn3-pARb*?;fcCcDVTq2g$42wjHDpY3IT$JHddo9XMeA@DLkM#Sqq5j%HGUrLG
z!SMctCIfyjExyjD8z@9PA*v$rUa>D#m4?)#QTAvEhg6_lFMKC~o@CukA5OJIAa?qK
zdC4cgRnhvS^7tP-(SzFbVxBImUwpm$JvesBTq{Y}H~F>gkTS%x+NO2uD{B8MS|J*h
zwsq^kWap!T7-dln0c!iCA&q{A1a4g#`&jq--RnAEE4G&uonRLPUioS3Q_QjU75kj#
zbx)b|Z|$ZOhjEY~2JO|AFc$6THr3gCt~hD33DKAa<~iMF=vm`g$uoRKs^I27DQ+0t
z--zRr9Usbe9r_yLet7S~oMBi{Y~__~4%aa$ljq+$zFd-|(>#Swew-;X&yXuX^Q5rk
z(m!#z)EfdO-g@m;Lwb}Up<d>$O{GnJzDCBkZ5;egQc3A8s;!8Ju(el+&udcJCrJ5*
z{kXSFXI`YS4mWG)OD*G=r?d{g|D%zRXqWpr1VMEcWw~xfe9~ToVk1y*JS7gZk*C(f
zqDVoTOAH1@aLM7!+`5JA!`u%NuF3LSx&k5&6Wu<Sx@I^upVpCl2`!q+^HVqtI83EM
z_1%%-Hyj_&hRTXYz0&;PZYLjX!ysG01GGj=&B_4o&Q4nJtu=LAaq5CdjeBUjHi*uD
z|GT(i`|ts)x%Bx1SeLg<8Ztf_{`89e(u%G0hOH=yLeh#tD2hwcic8Mm8^_wTU!>A<
zDo;f1;~Lt{>eafNX=UfdraDh!##o#Pd@4pLK&oma0nI!e^t64u=O$efGNKMCQF9b7
zmZ{?;vLtvHAYD*qV1F`JFrB&9vzK5Nz<98d7q>a;zL9jT=o^%bDnHPGbfTTq?D8v+
z#&k6CvOXIc8M|*OaTSv4!kmt){xv%iZnLT_uR`Sbcxqd}b$%)1wRJs<bbH(wqRayF
z)r72vg6UW9Xs}N2&izV`zx)6{<v)Lv|2^pX0Opcr9G5HyLSJGJmLj(-u3p9>+^<=_
zD6UNBDaBt;^pkaB*8kQd!-a;FxmTNVFS45d{kSgm6y{ALAa4F_k^}a8xNMb{74AH(
zZhWNG+1}<zdGOJg^-+3Y)^Kp&q2KpigTcJu5<8`BYCIOoa<qPpc=n|Y-?p4~t7_Nf
z&W?t-8*I}Rv1n?eZ0sYv6+~XQhS{ZQA^%(&Uz$CDml*lBA*ghzVGrLKK-XOf`n}uz
z{R=mWSm9(iGO0%on(=eGfbe>jemm%)2hg9Y6ELe)l@v(e5dg(xXKj>fyMH(>2h)5$
z`Q<v<;u)Kh1F5h3r=?O^Q(pIL$QDTUu*6IWMy`2=m{NOc6ur_+I!JC*miXC^7KGqN
zkvYw1-|AD>s_9>Z&2m}gqaGDNXBZeW#2J>@k_QXw#>v}U^tHmH8B{eD)$;R=`2qqZ
z_Wx%3$Uuu<T<!NL((=Ly(aR4=0AnGNo-f{?)jxJe<64{t!G!2aSWC$k57yN-$+_}^
zjvViNa5C#pjwVK0QM&nYbC(u+lZH5}>!r^F8Hv5c8w@LbUyBX%0cXheC1En{bTWZ3
z_3xG2cUAyp^FCP3(&WC<u9K>l;9%EYpfok%P>}m(CU?+YnHELZ^EMo|8?WnJx4dM{
zhjI9Hm`b|i^r`o(q_19cNFICf^;juLh;wtwY>qI*3e?2su>^ITmZ{qXilzy`;vK!B
zt`nSqx4D?wHLBIk)Icn+!3-Mbr)_J77b~a6fge{EuSSzX6jv6<C8m;}SB0*UnOJK$
zE-XzNXMgfUYLa?~CB9&<;#C5)<$6w{jk&Fhaa(Lz7*(l#T1Yae_wb}0p;O;pXO9}Z
zLfK39R%R||(HxGz37LBK(hJ00b)4DT{?2uWvQ~lM$WoK8<M#{F&h?sKeYwsz{DYW8
zTR=6fN70D}x3PK4<2vp5G}oqocG+p><Vjg3&cOJPlb6RM&E8)xqfintPkpq15}$$@
z+=40XI|&IC*+3wuJEQTMDRaG?C()$!lM6i8kTtJWYtv^ijhbTfTqLWI>MLxa&O68X
zkdSYzE+LkR9cks^tyMG76@mET`&+Lzbz4gnft&8BYF6RIC@bMz)hGWKJcBkhW;}zt
zd`muKRE?NSy{TM)cnts=s^<t)dTMY?IZjANBOKg_!*Qs#KbI#4Tu+DhhunwJNSgqB
zX??ivGP*VT=@ccqz^A!Zp>I?k-zMU`rK?8=_i3an`XFgre7d!dpGK@-c+14DJ_}-!
z_10MWR@=1E<`b9Mw6XX2gre9AY?id)9#zH|r?3W)`coisA1IbpX~-j!hN+O*=}Dq!
zcbm(pOe;#!($D3|ZMUCL(}>XbQd85>i)1KCp?Gg!JsCrl3>k`WXz+?;ihodY-)>fO
z>)hDqYS~K(;6^b_MCB}J|8PqjuAEOfbyF*<u$?L3Yu<hNfU-QmM?OXLbpPeoGKn^)
z;&f5s{Vhj<Mo&|9fx@`xRaUS-VofWiF?B*xh???i6$voI<1qs=BniQ!2?<~DB6%4G
z?}PcM2;eX$lFnhiY-vgQ=s>=trs0Xg*=KW5{=+6=u2kU@>mgyVSd^%w%X89qHPZtP
z50--Yf`;GX)m=o}MTRb#u5v_DI*32#Nh6{xb0<CI;+3mW>(R^+Ra+E@rqa)8pJ!;h
z-1D7tYxblt9*jcSFK96CgL^Kr!D2HfD^miauy2u2oa3hFh#a(ToR8?NXpf9zBM_r@
z_wfsVucy&fP@YA9txUasb+dU!tIPdE93O?@QrrZUw?9XLVy1MTmvoAgiVPh-W_|+d
z4}9soDFSImABwW2eCw;DtI12OWw%SiA2gkJ<&KNrl~90<BaFHBr<u_BRtxi;<25n`
z|H$cD9<BRpS#=4m<ruXUIohZVCELu(fO1@QH3!GERL`ZMgH41PiS|ltER`*79LA7e
z!Sunj>`1?hH>!N#r<+y+*<%!_j#3{x1FJJf|NJA80~d}8*I^--i5aiv3%F_r3i!0^
zGQoBccH5~HWzGVTlmo)tm<dD0(2U0&Tx0Wu^HP=10iS=X0$@_{6j=NO=`-5OUprpT
zDlJR(lSb2l=G|D`B9|@S6U;fHM}p-mev496&6QVdC8a)ADZ^`o3Wu9`e*d|P$)j87
zikjBF=Bl54Iw^tGRPgF%rA01q8mg|tktvEFn3E=4Wtl^cJ)%>Y`}g5VkSUn(kQ5GK
zz$$efnw>?I$?j<WUhkBj)Wbee1xl<k0G&*@MTC17H@=0RUc~vmX36SKRkeE8YuoXc
zkT2XjVONeos_V2J4c63lOPt{jHIF`DvvdOUhmEUQdDXw{ef8txDxgCz=$_sGs&DUe
z4Cwj}^nDWKXcH8m=M2<aTU+OXir>VIdVRAv_Hs4zTu8;pX5Z4ah^CRHo)SrP|08uH
z`7masR-`6Vq~`3O@N2D7Mn)!Hih9$#oBN9=`_l+LBO{a=Tz`u<ZVxEuX=`gMPrJ_j
z^-nHMUr5`kL>(&$6JNo$@qeSzbW@j8Dj+K(gNGR!UVR)Pnd?IGp|!QUff3KP`OVoK
zZ-xS6irhATx^==q`aotw7NiKXUyar)E8%K|aj%a49$oGuXg*l2U1K4U8Srn9Mc1y(
z6F!a4)nYT*G>U$q&EI$Bc&Ry@QB`>rwAJO===g}ZH)G&i_BViAVfy;V^bY?QL8q|$
zOG#;2+NL0r2h7BTgy1NF<DX$bOb9f9W-K;50d1q1K@a$7hvk;WhMJn1!YI_~si}lv
z@FM&95a+0ycc!LVyDN|>QK6S+Z8;V7EH_P2$X4oO(ycGG0Uff7n04#%)Dv^S-feN)
z8$Sn9KwhAu@Nb{}C0`zMzEaUzjUulcpUzLC;Ia~izDIS-h{%|D>Py<Xy2Kd}M}z*0
zQIVAlIa*h@NLL3Yy`PmWuuC~_^dL4ynKv;51(tE063~|&U%mMa{>jOP6!kjn-qpFe
zRE?&+QC{U6DGESxZw;uS$dwPLNAx=EB@Zq9_!l>?Kk#emCwr^KaH@M~UNnnt{Sb3c
zSc?*=>kzvw^-`nL+OKfWlVyL?@{P`9BI(BnB2Kb+H_7tP?>l`4sh4$YS2{PqWR=A|
zR@B#DH&<yLlDm?Qx)oPcw5yE=vS?Rt4n-0}gp&`v3MLNcY8(^XM!wNy{ya^w%$&;t
zU#ePL@7eCRv+oeQkPf=>Z^f%_Q$zcOT(^fBO+hc?ogMzny;`8rh9&Lu9rRpgJUTi`
z0^cFr1cNrB_HmE)d*k^S#1M!3EInkdjP2nx&$>LcBv!+KUlWQVtwJ+razBcTi$kef
zH6@Z4-ZC>UQPRJ$)&|RC5k>9T6G7A-KN)jiR4`F(J{Xm7Y2)sGH6`G2_}2tBVX{dq
zLc=<~Ps$%iuNuIOH8=S)&rBvg{!cdJtrE2t{Qo|Ge+L}W|2_sGfW*xI{RJxC|EVUx
z!M#;l(?bqwxh!ViuCn6V-{F55kx}Ony}=tTz2E1~L`ZHrWI8>c<VuPhrdbt$Oxn9w
zKP^mK#5YqV2eGx+Ef}87I?yUeW8dbMj#gJw^J<KuLC#Dxb0z)lcHu8#AK^W8^Dqqi
z^4fC$Z@nHe4pL8Ya$c|BibxFX|LQ!#!L5S3*2K$A`#%!UBy912)vKI#h>ss|CuvkF
zZI7mkm0HxfOFp?<fGxy@pkpBDTP=rUPy2sk`TzYZEWY0zF4>?&qfBR;cSI=e6%Dli
z8J6(h)n)d!sZyP~{m-ChDfM1!oS^Ly>|>R2SICC~mi2YFdFvnQp`zJ0KqP=-&ps|u
zilZkvsT4@tyZM9Or_<~#QTC9?=`!6N!K+DC$Cyhp=@Y11b)Js&Qd}l?&!WDLj?cxv
zs{?`P%D45z)j7%SQ0-D#wDQBx@;OIIs4a(|k@88X7z$Rrx|<v=tAvwKOAjZqlV@1{
zqi66{_4&gn63n%_t24sAS6F)ZmtdnHW7I51hj4NEfj&$GG^C959Md=D`prB*OT?*S
zgO@mhUDLzeeK=Aw7Y!)(fk!oL^|`7$m@eCBj;FDmE=?iA4D}>3otB*k?Zt&_O}fK~
z7&S@@<J=P2x0mATOAT8834G9bwczki=ynqd+V@KX5kA-@NkMa1txPHESK77}wbKT#
zqI(5^q=N#HHIW^}OtmV2u0}oSmB}2kTmcwa^Wo=bU}W_5U}P<hmbqYLHDF{~u#p9H
zYa~TcOPLcXu-osLtTcpIDPZmJ!^yRBj__`1nGX5K{pv|()v<jt6+CgYw{KM*-ve4&
zJa)6ECGVjQj#gI5_GPUu8$FQ%G^AA~9kWEH<qMU@U79p|1nqyjI|kEc%JuKsKo5TA
z>3K&UF0TKNy|)UhvUvl32?3Q7l`bWvyHm*p3QFffy1P3RknT>EknV2jR=T?u-5q<D
z@BcgB*R}WI$BDs$XP$dz?wq-Qjbl?&F0<18pJ&&@H(d|v9`0{+NL}v#h+&^e*B5}c
zx-X)wVorDB7*vM<!%zm>lVuiD@w-|}OiYn1dev@><xTc)rkjs%>AG!#uXvzk`?Di!
z+xB^-{lcWdj(2$Wi$4>0M!x$g#eWZW6u>`eX2MlXOUG9?de5Xku-cWF(okQ&u;dC|
zby;w~hUK=r9pQ`C-~n&5^au9W<g|NRMCguO9&l9o)SnVY3l85b+myi7EuHzEh+#VP
zJ5GRx?(F&)!x!SHHURRnX2&*GQc_|h;ZNHOpi`(^?Cl-P_SZV^t-MpvP4FzujMb;=
zyd^GCyRiK51BksDh}~q;n(aa;xQ>~W5ia&Jt4+Oy8f61V{wE6*OT0rVaM`9sg-eG5
z$cZQ0$ssDlY3mg5#b~MLDIwI<)ES9NnUPcgVAxzyR`z$!dC`+4jD0p|;9(lRpxEXx
zEE?u&FBaTOEG#Spt+HV0o1~3)z~Rqw-*N!Uz6i*2`WIZ5BWp8WaKWj4>|=}8yA4wv
zxH&i2vCp&lPnIJWZ-(j}c;C|Z+XPz*;NLWBhyEL*&9KnLZt9X|Se89U1Ua!`GYy2j
zD^;LRum`j~ZY%TS7Z3<E&zy3)+OYuNm~))ecHSdm58DgSdNXsdhO<55$9zKtp4{3m
zEDfGa;kAm%(sOf;6RMIS+s1t3@Mh+W__P_#F)!;g*l!k_?I@m$!hWseFe(?e9|Jh4
zgn+m@%{JoE1?b*@b)q+z%=O*$X~{2j^Tl-6OBW-IB(c)H<NkWbom7rt!HR0IrV1uz
z4rH(Q0T@x3+d;URI0t>P*X!qa_FI-46F-G>FiZ50Jm+7IHVaK$YdwWd=OXXakb6cf
zqvXxKrI)Qnah-oT+e~`OpO#XnE8f)9WKWv=Kp@JW2Iwrp`UAq|*y%-3I@1o<C|t>r
zT=s|-LHH!xmI9mk5s)y1fi^-$8|4-VKiPK&K+eC*8^#T~`A2Dj9lsn+ff({LV};(V
zCq6~g;gKk_j;Ik%@KZd8wO$K7@{GWF^uIB<%)cCL)@B4#01fRSP~<w~B?_aFN*>mj
z<vE->X|!9P9wOlcO7%JuFg5qV+~3~WoB%<z1C1vHc@0{gDaxmj28j=ydp<Z9sFrwj
zXt)~zwYlGRQZdgueks?yFYRa=+3!X5md+i_3$9<IRj}bAnYAY~O78Bc@7WFiH5nzk
zLfsdocnkFHdb%9X2DNPm0QmU^jED<<r;DK1l+Q>zBzLrZ!4+rvC@R9kpm~+ICGymR
zlSs%r>uSo$wHv7UFYX6T7Yhv3o~;@;#?eq{h0%xgrKBmVL`jLeG!j{DqOtM_iI06`
zv3BqMGmBFw=4-l@GGu)j!OGY^lU>wzcuVgb*%xj3R*OfX(HgB@ZW9A85&O@7Mn^tv
zFc9-n&)cRh<b@Zg6=~J6C(GrM$5#rxeA*;n-`%BKws))wUiyKPlhY!)QZP!|Lw%&)
z*VKY1R0_1YmW__b@SG>GKL)_hbmASmr$+*ON#zk$%$R!9-Sj&B!cd@hlpe3t)17(>
z5K9&eXMaw(lP>?{jJJKAW-|Td&qd-kH-}EY5YE44V>$mwcX24-UD2piJ7FWiC#vVu
z0$WF+Q5&+kqZO!wlU(DrxIahb1d1ww3j$H#1cQX_HykX8%-n+IV-#8^7F}3nj@B~d
z)XwWqEfH`<T!VBgC--Z2HBa`7%K1^xYIy`WKM1C(+6t-M+PG8ttnTG)Ir&?a?I9%X
zmQ`kVpKCJ38KVu`x^5<E!`|vwMJWh-v+AER9k0Lfe!-`#zu9jPASNQJr&3lo$Cq*Q
zs=a#m{ZAR3s-4~&YU#(Q0VYSCBI+`&s`@v<$wtFL^Ub$7)LG`1tL8<E(5NhpGi)ns
z>T2SyT+qFJ%7UrjPjk!*x*M0Bkymk^jmK5HtGMuK1kcUfot<V^0Bfmb_h+xly!y8t
z=SD+pg+=}R*#Qrx3-L#JjMI3rjxVx21vH<Q$&q6kAL?-elA<D{e4^R0BdO4{hU%)>
zd)5I(g%Mb~z866qKPP6SDWZ5?+XFE5g(y0z`>iWD9<WV5Qc_eC+tL16?0qtk?fd5D
z5lZ&%ziI2J*Igu=_)kXifubck*JP`BS$1gP$ts6C0iN#SzWJk&Lp`Og#D^Zi+ppIV
zCM0@$GgUYcW222GT_Q2`#sSeq@6w5!pMSSz$=tTSr++^I3u#xg%4|HZy(z<z=We1<
zT@e`nNG)LJAwLHJQ4##6PS(*Ws~)1}n3w`t^rqbyoY-=-Y!b!qe<nYa?afaA8s-=U
zUI^G?V0HiSQ`&zOM?L!#=$zGN?ZSWieLLNK-}Td-&bdF>xKKU^H$Y*zihdV;pIugF
zd%+oquLl0VIJkRNUc+2q6n5G$QKGZR^Sdw#0CslMh^C$RUX)GT?@7Oq7r8s-k=3As
zG#_{y!_7gC=wB~dTFnGJyJ=d6H-^|Ud^zu4m!wcE)X*wt$f9VU!#-B-Bs6z-{7)6)
zf{lOd*|4?k(6!WwlRXN9lSDlyX57KJJZCf)j^h`3xVZR0C;=$Pld|=EL}6YWleVZ5
zVq#)-Rp*3|kT5ncUXpz?6B7c{^H0{#TdVt%D!>oVr^)3$)cyGJ!xi8U7m~Tm`v8R)
z7HtLS@BDYoH~X{fb1BnSiAWL`X#*<S8s7|u<Nv2M{cEkJYG_seH(CeyXxIMFXlKBb
z$152)UY8QOJ?hU_E|7C1$z?m?%$gjYJEyt=mc(@jzSqf234v2)pYCzo3qa23<KD6D
zF{ca=5i_7hi?GN`9=&krA~Ys34|R1cJR#PXgS$8^QprQrDbU<BCk;mcva^Sfb9SXN
znnq<k1xY?`nQIA7q9!<TdHyF;;9h_Q-Nb<b_s+;WhKAU*Y90E4a%|c+>je1(-mADL
z&1pr~TJ(+O@_~BVEvG`k70jd`BKz3Y%Kmf7s^rlAUwha8_k;ge0{_2Cz#s(#I-+H^
z+Ro`&Q%jQ|qN%Q|^q`Y^jfn8<O=T4V!h5C}jaMyS?MV?nS^(y-6@(hj_xTbnY*K`|
z&Ygb?c<L9Jz<mxqvApQg`;9cE^?%L+lyT%zy+ROO_*s<3YTV|B;%yYl*H3U_1qq>Y
zjfTdZns?h;Sz1|n3FqP<Asi!F?se1^-$+6-;!oc~x*`0p@*pEjAfe!OR@2m4%Ug$q
z@WzgN5^=3zAmVEe@57AUb4G+$<bNl^+g3V5jO&YULRWbKKuhT>0J?SPmF253a%+y%
zMXOvlKWJ%d&kuJ(C=h(az~?{I78mamL0E|Ojjoy>+SC|Tm|+AEY?+y*`h9eCJjP!`
zmWgk~L2&=*Z-gBwkTyz3$LbLcgjVMIgRE>nt<(M-Va%HBF^~oW$dw&LRd#E*=j_x!
zB=vtrM0g_(C@0Qp=94n@W!c&5ejql&f^g%7oOS7yWq{C@2FBZM3;hL$*4oy-VFizQ
z>33JAHb4Rcz8)1U2_SUsijh$fGCz)ukCQUM29t6ZCs~d4EEgL2Uc-(DMneEe_hnkn
zAxJ8?fJYrvOr+C6qNLY$+6PBRM#`ZIAz4@9s~*Put76OGkXGh1lB4Jh08;^w<hbSo
z>{&Iyja*hYk05i|z47XQb8=_9WXqnkcKitep$l+y_XgSl7SGz6)RY@C3FnE+j)PR!
z=yMVzUr<+T1Tp<t^a61AfG43!O$q?nH{)YcC<vl97;@VHfi@Gh!O_J?cIq%3iwgc%
zv{0>#f&!KXRPoik$q9e>Nk=QlP92}qVPPWv#(W;h1zy3vs0vIv4y1ql;qLlp)j19X
z8-RLd0Z8~u8a%nj2Zr55I00V_9N^=*n&u*}VWiO;GH&W4q#&%@2I)12@YkuOJN4ju
z!#rJ$vLlR;5(u2V*bT_IC34;Dc#LWvLB~COs=MqgAc@4PbDplm0u2p~bV4x<lwQYq
z$7n2pm<f#=X~6Au=Qz0)A8{2ka^=MfN#not2MIg8Go2jv9}*#WgMfIG!O?XamUU{N
zhvwtKlMWz!+_eCV)pTB6RJ2Du=}4Y%s$#ykD04md$B<d4xzPaR022)2AKF1mabY*^
z5yG)7*_oxOxjiGXr6pKWjNP`V3p{3v+-Y*o7y||OFVc8@pXlp>#pm}Oq}ArT5(BB{
zH(eKW0Ql}8at*K>l|Z88ffmLP9s8cfcz2<x!F=lmV2{K`q^N}o?}^<6bwjUefB>67
z686*Lg$M;q1=2Jz<6Ki+EzG6B2<XAxV4p1hdXS6tW`cE>sTGz0UfY@HgBb)f`d$bx
z#FP3&U9mhAKo1qe*e)P4-~vK^Vd3s%3XiqiP=<&%u=4lmS*l|?x-B{*>tJR^bn*1H
zCO?EKO_Y^Sq|eXHT%YtZ8#e+l*)T}XL<cPc%HM<zR(kr?>&j7rlLsLBd-LZRCtUgi
z&cNX+WTT-*$b9u7rzyJ#(+FVDa+@5rYqahX{L?96{EHVYQFT`#VAH6-eClr%d&&%1
z3<6Z=UpUoI5MI`Mz-Cbki{hR(Hl@AS6!5;kO}60`v_V+90plv5^bFsrr-jTUy3P=U
zbgCGa5j<vn-k4YkrcxrN*C015T8UnH{O{ktLJsNRbsqr4*&|l+&<SD;U;PbW{VWpj
z%L5HUI58s$fzrq2A8c(AxP5h4>RI82tS1GZmA|gwE#A3*I}#ivOe@>ZyI`C80g%0f
zTx%s~9p?q8i+Tk~i$?iiSg~vyKa&t=b5m@!Yd($8Lxe!Qe>Mwfiy|g7ViPkqVCiL;
zW329C8H2QDHi$%TsP8zzT+qwfB8x60S-8t;5>HjD^y#^40<BA9zK0ntN5l?m1{<pG
zQy1nVAHM_^&shY(30$tJd0}PF;W<$Yn2T1Xrlx$}S=f061@0wP=icn{I^msq{W+P8
zk6(cRFAHSoR;lBp6#&}1GyzcIN?3si82bUR^XA^Bq^7cRZnNGhB&!}gMko4SZ%YvH
zBN_9w6zqUItO_vIPG?`Ni|&Z^2LKej#cS-7ly)7+m`}ZAT%8zb@0Q}H*l}G@1$4IL
z<s3{sz>{?#`St`T70);Jus`n9fC+ime6ScNm+Q?nhn<30ywlvNp$T6=ORO=Lf@C7J
zL}A>r`C!+H#GE2RCLHJGA#SQ~UgnQJifM=*8y!7S?MnQ0eQ=G5;2Spx_Tu@o(eVix
z*SUp>$;ku|R7h+@uMv}Wo0?czSt)zxo~c15a~1N^ig&yy@j~tjK%^v!ur9mE?PFP_
z)ZsZhn8HJ=HR&laLJSb^Bup;md&h6(Wh1n-GRb+=+q3w>?QI4W0ilw6P7v@L<vaA)
zIOcGMUPGrFoDY0)a@5as`Y0ge=^VyGp=~cVhck32O+O3PWmp1EDc{^XdU|>?a+g%O
zT#=|f!`fo^*eo97^aaj$>SGHF&B_WMS+LPg$N3n*rG!>ZEEL>RmYh%x4u<|c4UwiA
zQP$MFSp@R2Ut&%NiNtT<=Tmp;Cn0WqwyA`aOx_0zO#o>}J|yU=V`;f(tUamy2Ikgn
zdtY8x=XyZ(+c}hNG2!$*Bc8kK^L|91#)M9|=0ZEJYtnA^a1A=Rk(a%$yk=RvQ!>Kv
z(22$m>4buHau9XenC0D@nudzt8-wksIWrT~zgewPk`d|f-smQDZS)Hn$AVB7I1olt
zR9AO}(&Y7`a25!#!*L#a49q~7vwBzJ2dTvMC4_yj-mOUl+iX*7Fa$w@n{@<<+j=22
zaxC?#QH-d}f>Er5$M4wFyYg5KB1M0o#1YM{VIGz>zHH+n$B1VSbcrk#6Gs;a>h}k5
zwil%+qL?Qg0sq!q0S=TjFS^@ALC2dDnh6B(bU};II+bYl2XeNqxska!j|T(4l9Ced
znk;_vy-Au15`;I8rr|6`dy10TS<jnuZF*Q((nT02^Jk3_>ZERRN9_x3eFlDnm*E~;
zvm+C7YS5Z0piXGc7U$%aZ7v1c2Nl5{biyQ}=p{JmQ$xpQ6-O>_yYPI-8lZlaoByz%
ziG9^v0u%}jWb&rjTNNNAhY8{xvs|691zEcoV^2F;?YnK`vD_N39{0O`Pynf5j&Sw_
zLL+^`ZSq!VG^mGNkm?e;hqHS20jO<WRn^(-_CYNqI^AtMFZTLi|GGSj9H`W0i4h&R
zTVa~_k3)$a*si)aSI03i<F>YZ+1J;{3@R5w+IKsJfF(#v+;DL7Ko1iIil&6Nff3;i
z!hbS&H9R}p(to?ie_4De7MGA9GCn&i@G*TDa(zb-kBQ(<wfWz?pHxrSlWbZx9{@h9
zeeupYs3<ssddXCc$JH@t*?jH^90(5mfvSla4(h=Z&xh=zV&s=B&l`J!2ejiwloS;!
zrfgFyLfP<T^EtW-V=LKTK6M2a-FtRq<d~euvvHg<tk?b!@RKppE|%=g_W&%`?I$BG
z`(Y+1_jvr_6`WR+<o<A$CJ82eXOVn)&kOt+6P+G=IvCVd>Uy#v4%U4bxU^=ZcO48p
z_!vG5l7it04gle8&G`!v&F59W0#KsvzhJcm&I{EwNyIG!{eqtR()~`_Jj`@vAYK&L
zf8^s4kLEf1s=DgAr>0?m4KMHxl%s`H<Z^53iUst6E!Qlng5zFe0P-!vUi%^jcsHiW
zCZTVHsa&FzfxI=TJXJ@W!Mcn9#zbahk}6KkoW)+-*_#osK{x9{)7+SBnKB=Zj6mNB
zBON4#jX;L2B_al>#?jR<5#s*HO3S6U{AuZ)UtJlxN*jBkj0w|LdHKl0vq23^4H!c@
z*rzk{Cl7t#?YzJmIPbt&;0I2`{o80z$n}oyWJSz;^&W0YNmX9WXqevaS(=*Wk@7M)
zr%KA=A&9p1D=%`lS{A*GJa>xr)D*!B;gT^U(VaGIK1h&OU{CV!sCD&Oj$G=DHMO*y
zXEvP&e$PE+(tE1}PO*^$s<5fYGH#<dc<wfC5J>Oq)xT8FgTkVuz1^2@?)`!~Qo{_@
z%rm%h9((`}T7w4WEtPb4Ny%hIbg(OAs8Xng(>oV*3S5p|B;YB<ovL)(lG$iG>oVdI
zs}8esyt$L2o-YMZ+M&E}ga}VNAI$)b^Ew3mohHMF!lwC3Q^gU-`T6J#LVY<B%c~?=
z>7Plt-aTGV5MGIVFka-&{P$Mev!1ix1&0NMD;BH?+QV*rzSw!KA^QU#$18iMz89B4
z1;d@w3RvD7YV8D9x2%J?-(Z2&QNHJh9vT#Ewl>i#`T6tbhmkMQz}>jltHg$T9=r8c
z;L&13_XAz*>|qZla1-yHbzvMGE5-ku=y6d|(E|;g0u*}h3TfVSEuaQXOX3{vToM3F
z6s?Q*`tA9TM?Sal|8#C9&EEy+Yskb*C-BegC6n_2H2E-0$7)D!3?WkF_`9{NX38SX
z%mg#E(FH^ny}$_`mC^+1R-M>2V7p3;IjkO$KY<#^W)&4#RyNSJsDo7EWEgt{`w51C
z(+98#(8fi4>JE5^P}&DqZ|<+6-HNKrwI_wlzDBSD%Csaz?#)Yni@7vLrq$hnc4wfc
zA9`)j9|yKC66sF+M%VS9XEz^YB-hCn%*@U@tDB=u{8a}A(}kp;A>p(pIvqG)EXE>w
z2tDTNra*~)F=pShq>sCHhTKs1Ufk&(>@v}<-Q43Qbw_}3lGBjI4WWmD?*Qo0ja<f4
zOG=QR(xeO>-mTwnD6HB9>Ww}o3k_~U%DXh&OLpop;W0;2!h1kC^q6#fcni?c^OG|(
zZtFOB6;K7RDECB|;G!Ax=KBo(p+ls<AM+CU{S^S-XjscrQ&r`7+1xTmP$4m54<wvB
z3G9#|O`z7K5MXpmLUI9DGCWPdxhuznFeQ}D_}2q-VFW0>H_0cx{)ES@#S7fF15I;K
zklTK|^D`581SK*fp3%)CV5_YxnI`!jO#-7`_qok)`}+ZTINOE?<TbD=<wT4KFTXLu
zsiue=)92M-3C&*I#Zc`<I@p3yjwf-HXWbu6>Vah+3ksKuISP4-XV=;jh_7ty=4-Nx
z21V3&XVZaD;=t=8iy0?goor5yO-y)ckFbQX9hiXn9K#NZ=o0SjC2bFS4u}kR^#^XK
zn{@7^I5%aVLS`snAgD>v)X*TCeC$jJEEsTN4LAO=#bp*RCS}}evQVO-Q4UhPB+VWG
zMtjrsOz{^`DM}zhpo3{Axt!-cSS5+bW-B;{F7Ic?K)Y_QPR!ZcpWJ3=QAf{E-(_SG
zgQ&L&AiQ6}#s+rjAoMIOB}BYLYQKQPvS3tnS9INi9DXg}o4)B<0Z_v3TEGP{J;{V2
zD@@D;3?xdnKdCF8eNFc=q;o??MqZZ<;nm{%e4wY|US?LSBuAffD*+eBOMgH;dV$U~
z>e@Qzyu9jM7gA%mFN}roHqIJuhDiF2G<WLvKY>DJQB?s|+K+o((sOCIDFXY8LiLLM
z1)w7A>ibX;)Hmz*_lkFBz|KywBL!z+-->IZgHyggn@}RrF~F6D|GrRyAF=%JuP@(#
z(}w?jear-hV*mTAs4qK6K6DlU<q>{x<1U%J&nxE&IGBqLU5^k%BmYbwA+VmASpV-V
z!2f>!|H~h5kc^%tG--`Quty9>j`8?s#CaNP@6(eAD^7Tcs>Dg9F8*b{a%xf-zc9O#
ziWz<O8UZ01q%*^_N@U#xyUP$>RBV*9$BB#3!v-kt_t|B7w`%NeGhjKxE&M`=NN?;C
zAZ{^Pv($II@Xy*0jeFDo9PXQ;rX13bjc055$a}q5f24S18j96Q^}*2Zf;5_}SFkvG
zOb85wlws0;U8N+R4PW}&ho;&~!*I_qA44bGoMmg!?kfTU#(JJeTZ7EV9bY&KL5BRo
zGi7?OpwK%3b!GX_PrM_?&w}F@iorQjhMgls(H0sAa4uP*o8xCc`q=VcY&-W&dB=~t
zcO4aj%Xjz=H`HN@c=$er6m1NU%?ERTiz{Qp!2~K&aH^hn?N>c};q*F=a_rZaPYGR{
zmF0f}lyN10ee|)1z?ycB`f*F4CQGv-yBIAJLL?KF%csQuZj^DA^RK=C5gqw+CW$&(
z8RwJwR8-tc`Ky`5l#$}%tZRjP8`+)s-6HmLjrrrNFn}NP(HjA`Am4Br>!?!F-ih_5
z3tbxOXC>!9S5}St^@ECPQG@iGyV-QcM{wNV;PpAt-r2ndwpMatR}bQQQCr%7mj%An
ziA(Clb6Ou}jg<bR28Y&-ph;#%v3-PwAF>4tNWm>i1@nj*ED~=1_NL&eVOW>!OgWhd
z0s<JeiQLVnyp6A3uaacZTC~7{YH$R3d^kM(wxM69!99AWp0-$Ie_PR6&qPWo`n1r%
zDt>b@F9TZ6v2%p{MiN|E3wdX^A4eWDFdl7$-KYdz*?Lr?VEv0umGe3Ot&oZtEOaNx
zQhR3JQyRMJTz*|@)!?!i+l~48cQ8j=1AHCDYBNrkm`Uq7dnpISH^gah^5p+9QJ=@D
zB$eLA))c5JF#qUpGWObhc(f=%kaPMEA_9TmBbKM#bt3r*zeN&GbCFpF^S*8Eg&5~K
z8THoU8B%wi)1KOCMpPdJ_1CmRS<gbVbb7Zw@qG`gH{FvfE<|EQ{5Ncy`xcd+lE!!C
z86+-ry97<Hx^dvPB`%p*c)JD++$$2QYf}7@JYl>ZxKJ|7G9^T9i=0@wB6C<=S0NrH
zlo3_t&64MIm{qU-Da}DC8*kuE+NnlaG}LtG@2aLi-0|)X3$dqSjn=6UKOTY)BM{VY
zn;~TegRx%&)~uAUK`CWemOqDNlY$xJwL&`7a%Y@juZiDgYCSt}EB;gp9KW`xFmUeS
zou#s_c;1^(d2ju6C#Mx5M;6@pq*(NXpUb~-hMaf!Cd{dSx|<$R&kx43@7l+y+?9u4
zWhIOqWhKrYb9dayMk~i<_t~Wj|L;E2v}bjecdWy}62!4Wrb=%aV=#lQxk9q*2g5$-
ziFi)t#$7V77c4F^NJ@u@p#IJe|LS0lLF7%6j&y!xmI+nX1u2ha6^Cra4WG))c-&b0
zyyr|akMMw+-%o&9q17jgH$M1F?0hG;Gl40v#NzW~6s+zZ<4v8r&Evh{Si<Nwwh?fR
zX!~n@AB5V|$vM~I0i9GP2b;##`{&b5PHp$MW+QCKJ^4PgE=7M`Re5^0GpN&8UHbe8
zsrj$A2sI-2!aJWe$B`}0<b5a;3mzumM)0wC-4=4|v@q^XXKtPFGAaw~+q8O*aC+Hx
z#hW^n?a<tDaO_vgS;pO60o<Zxh$6Eea%wPORvl@P++pdxi!(v6%LBI&qe_OFu1BMr
zBo#o<Dw%g~i{*UDI&o<+Q%;W5jt?gdal$V8uI^!0O>4gk8A(JZ9`S(tQOe#l<}EBq
zHP~LRP{SZO;d+^~iXV!a*RR3FsBy}a3v4p-eH8zJK!;HYrcrzpgjYUb`n=QJ$N8eI
zR34m_fGE#=S2urAt*tR;Wo;G+?B~%ggKI9}c2CjJ!|*~=cenb))q}V8MJfkJ(!hIm
zJ|4(uP9T-g2vT;Xza46uV&-60)ymV~`33uv?ezr{C%)Q$Mhp}Xj~<!b73FGAp3UJ#
z?Bq9W*VDhE4}L6>`A2akY3HKbfhOkNu<3s9z|ED*r3)a3r!<eV+b?F^)C*@cp-tD_
zAT(SUXY55wwcaCFkT;1jxJl$sU@3tnW%`(3ep+`;4f=EBX^7wt$v$(der=Y!)Yg4*
z6!+j68jTt|X@3z$o;oH1@CuN1To)dzz1KUg<WmJQ^4;&CLtDSHD}*`Y9Os{;Pqzmw
z+WoOd%&5QjN}vFciPK!9lGxm~_eA<4ecxC1L&YOcHfh4mTSGL{XA;&gyr=s;BX-yS
z2EFJ&+;8h`{ua@+g2+=I^sT@t6Z~L|2XSAKs4canv)DJ~id9-J#(S6B-3a-UFKFqE
zB;mU1ZSy?$Ta~xE6n4MoG=<rwQ3EJJLlCKnD_2un9+E?w{X%|dDV0P*NT+ts#Z6OV
zOL}C<rHDK2!md!3)Mf(#XtyP9V26oW!osxgL@lPp%A-EfsSSX4V%D->3-GuOQ&BJj
zFCGggq;Aq;glWN4ghAJD)asj~gT|2Pm3_bJH|85ua+<dInJv`soW*|GY;`XyX4Q<P
zSBrcUmy<Sp=`z}mzs&Q1-WV@-HxKWsJEVac&&{4o7pmX4>ia`@WiuEBQyi(2>BV5;
z99DoNetpuvF)3sP>U`tstj5qjdp(qr(wb!CoEBE)#e7h(d0Y3yZ<S?JUrkuvZS9~n
zzI!kmKouf<Q^YQvy-;g&Y_`F%pLpkq^!rW=(2OYf1v=^WcWW5x!6EEkUt;a@eTC*;
zyH-85sG9+LA`3Fdt3`V~sC{BV0(V&^lSVv)gx+fwRYsFcZnfLb7Ofl2y-Pg`&N2UZ
zZ+_pS7}`9L4iOwC0(q_F{MZ{w1%y$JCIVgBK&!<Uswd4M-v?NcXK8DCzk_~yQ5YCf
zhbRwm9-7RdzT-l+*BTUxcx{_(g=v=~PT#&SpDE&riiewA<GJt{X+T^K5TT!V<3cZM
z%{~R&*YC)vYQ$zsx3=S=6a7NRrIqex^GL(g9CqLUO&q`VKp+uX!Rw<W$tyyXglo6y
zrdo4MILEHFSu7B1S(n?abyTDXudiGwO;XJYV2+=INqNqy^V>$)NB{F)>Z1xpE=4kG
zob$3q4sNgC$rw8Uv$=wR4D@k9`48oEB#hGB8-el5ZT>tp#}BP4Rte9JO{?k`A6K1g
zJ>DV**|6D%rk*HIV3+)FG*1YLnx3^ABZ`P>3bxMhjg~OA|K;tnIUnF3+D$(En3BVF
zW{c}8A-+~gND}nrqCiar$%O>on-d5!+;QD>boTl8s^Z!T>VR$!>7o$vIj%dahDk%b
zm<rGX5YbOKu>X2To&BeiM)9*JS0u~_CA56d#PF3wZ{s%=U7c#6sUSr+ZIdGt_XP?g
zqEEb<5BdhR{7xo5&smM68kc|^q@vy2#Qd^!1|W2LvNT(Y$O21{`w<(%msb|3_Kq?O
z$}mdvY2{iq8R@h|-PTa?DT9=nV9HC{Etbq=H_ETDuAtSbOdefdS50Y`9BT_p(gVJ=
z*wBYo=}-uHM5WY$Z6qFUW^($@<{tMk5@0j{)a$2sj%PHA^7@zsvLTHVSx<IJ{%%u)
zHaDCp0Vy`+iyh?z$9L8&un%MlFBZ6TTLN+CsT(v{dDwW_N2^3Bl&!8`x}a5aE*Z2u
zqC#BZ5-wKzBg&~pD6oPA4V1mvHVwrKX?)B25KXQEe|rTZR4JA(b1gQ%YG;*pHh)|}
z8q;C+?ymGkxn{gI4OX{b*ZD_&9@w$~{F72>*sPIFs|WfP@}WCs!uj~95>4m4-~KgG
zeRQV^4i|wvZ3>TScbJcKQWDw2O40Og=fOOd1Csa`DD#f|bNZ9FX0&|=Tv{Wl^7e&l
zYiIgb7_g|fJofM{@;;Kx>ov_q-8;>I95tU1_njlxd~?K|)ErjhVMe-RJ)Q2Q!v}jN
zK;nGwEk<eIW7L8<5OAwk+J8eN9maynK#r<1Ku>CCt!k^&&Y(3&rI4K?<zLBlM)Mhy
zgx>F*=E)U(#bDB~er;_{di7B{KiSf1mK1bD4~{pBYINApV9h}CKwxrw%bb+)tA54m
zt+i|-HHTTZJc0d-FYTZyIu!-QsH&R_VZ1f+UL^UzJy3Aj9PWK`J)1T|UrCuZ<}K!C
zR-qJ8+e-H+3vB~-OXN=j3*4V~yo>uAzbp+F%x~AAk-S9I9#+m{$ulR=K@i7TO^p8p
zwba>Wi_A`vqNnrZh4Lu)Y<#6u(jp0&i0;5%7KdtW0>A;~q@DI;e{Oy<Cg!zyjC)77
zZPwRv|5us(M*}$0`4}`u96S6Jm8ZPmyox+~M{x5RYkk);=uec5v&Ndz5pTfBW(Ula
z(N(RqF~(uT=&Ta{&U9R*^WgD_r3cKZ+g6Wl+Zw6TpOXJ_(!xlc*H*o@*+FbbJNs$e
zKnT=oPSE#(v(^>_T_5qOZhJh=kHpEsTqC&ij$dy(6*`|H3FxdEkwuv)F8IHD_*sJF
zhG-^67VkJgw(8fnLeO4Uv9o0z7Mt#cd%^9M>bqw+<s$`_J^fJY;Okp~8syG&H%}&<
zi2+FF%swx2VKQlMRWUCD?bnzaRc?%7d$xGcT&e;nBn+d4h^n7!vm7G;JSO3d%yoav
zJW0a5<fz8SAnf(~7>nEBdQO%~LA&qbh5o3`i$oq=tYKLAYSHi9$H=MEg!<}Irna-i
z-7O~}Sv5+kotj_}ITP2GXO~}ekkfT|s|qXPE9&)>7PY6#TuItdPNK)8f)AEotPLbU
ztWE9V>NEB`$PJrX-a3cgrTosD&Ld*pE9yQ-OJ6J}4SEGsqraF4-whk{{BzzJE(&(O
zzM59|KaGUn5FDt*vI}14NBH{heNq_=*Y6V9WI;HnQFAsA3F!sH$WqX*C?cl4(f*7A
z)a(a&KYz<lO7lYHx2<yqu<9A7L$9C@HDjcE{Gfvw1+nCCYwtb&RF%J?vBN~Un-lu4
zKP~^~EC5NaM*(N|`fifrSLDuvRtc&mYe$X<>8dxw5#g9MPP(piYveTX&Zgh#MS+IF
zAC!+THh_NXKJlEe-gEqCA(RqN57|AY4-hL5f!)paJR6Yl54Zg;>h<H2`h@uLRdCIW
zCkcj!Tmk6PoS(*pVPy3x;Rfpu;uZcE{2}@BU+<uq*G&OjLPtjr%<+?KvFfWvG*M<B
z(@~&1SMIIotTlA+IMwbIDRX7q1$)--FdunR7rZ0c6tL(?JuqShOEd2oY&oRW<Ap4;
zDDToTA3BjqcpkSa1z1ze`$gTGe5YT{)j#~c!NKgu#mQ4Zp4G!J6!tHp^dZk=UR%%i
z&kH7|StLRKvq;25Lc~a}zjXdJB}trK`)dAkPEDom^y4Mo(o!M2LWX=fv9azrbfRzm
z!TtvXd^ZOenAZQ9rT6w?Nd;}U4AhE^C0bLWja{2|rLa8V75%+Asv(z%BJ*07GiDwR
zptsPuL(_dlZuA+E{T1giUl(h{{wU62$FEFdqm*ISs`W0lyzJUX&_pzkmFQEv!gUF|
zutp#kmCp|-U9=BH&sVg3(~_LSra`i@+@1^&zOKL@1b7J03KGlu_l&&VmT)0!r{;xT
zZVnUK=k>y=%P0LighW>i7teu<I93+$eW1U0y%~Mr>#gWeT*WqT2`yW5|4$^adR^_G
zuQJhK4pXPO)-~jb)2q7Tx}XJ6sud%*eyq>ZNtgJuX=Cawq<!|{dbug?bSscxYF}i;
z5pEJ*V1(V`cFpyE4|fHtI^mQickkta-RLNR(NSphjfSk`-D3%H`ngt{uMQh8)Z7^Y
zq3ILjE_G(Q$o46}asOIhsBN1y7AA7(c5R7({=pk6WKl9IP!y;Lv9E?txcIM16kihG
zNw!oGp10nbrfhRozrl{gum~YNdIx47$LD(#zJ6Vi&D8wI_8C`*pd7BCtK9eOy($Nu
zv6om)YBvvM%%d<pD$rR|yLfscY|#T7_-<w@VwkE-@1q{8s?PpQ4<Iti4qo&YX3a2K
zoydYu|0hCRmm)-avE^Si)VoHBrkx1JP7~!n1XQk{A0pjOTUS`s&R4-fE(!|)?5g^8
zKW%s!l-rZjdGq(uQBjA|w57x<FF$8==!^8X4u1cs4VoB^4*cn<bE$ZEa{AV*`cI#_
zV<9X^)j>9ZlHEqmS=+Q^8LNCq8^b~s`%M%?Nf>3}Y<6hn587w#u!MMx4`#xjPEshf
zct!XYR#C4H6Aw6e8+!)fY!`)qk#>9l!r`lgR5rZs*q*k1k1Omhhg+gwYXgl2Zut9#
z$2vAsgYN;eBnVXswbTPs8sY05S^8*3esVm9)XE6~b7Bf3lZ{U3!(ZpxBuLgsti11J
zj5}mG!JfF_ru{%^K>AUg-dp6?-bW8Jc%fH#V86``zzL&<2HHk!iQXF@<y*rIzKsh#
z!FA3R4O;}d@HuY|ufs+su$gOC^g#56p!>1j<;x{BlW&)GW}osMHYJq{3XaP2X`yyq
zjlOLI{F6vQN{PpB4y|hGLI*E$Y%#L$)YquSq&&3hUMbh3P(0mOlr}E@Pv^w?I=1h*
z?Be@A7FA?yy|N#R*QMv0xK>|K)^syV4AXR<>jMy}+&4lVl!@4OCV4ZV29f>vV~VRR
z5z(@BTQUJ^O8g={QvzHL9}MhbyK_HqA8TO=8G!eEa@|J>crch7HGZ6(!9~o1pASCU
zTv}dvb;CvN2;v@>0el}LAD6I*kPTYSkAo<lgE&T1U;Nuy)i+nQYCiNg0xOZyww&NY
zS3R2)m%r>+7c?>vq@ZVNYze#2c{Z^5&p5<LQ@@Fj$uAT0*BP=J+n(=zen`l?_aR=+
z0yN7O=Rd(=p8r7uf2MLL(d|%LD}_(wFz_KCdC9xZVX2TJ7Z`QQsyZ{R!sdwQLxHbB
zYhrVGMQ{QxM*tV7z<p)a(q)Yh!v-qvCtiCgS3$UXM*(B1lB#<z9^Q5*aP7;4+3F7(
z=Zd+fp+1qPiO^T$pdI>MEe(TVQZ?xq0Uf9b_caZIvpK90Zr=6CpEiTVB;D#>Sg^+V
z^qNFvkhzYO<D8s;NP7zk$Mae3NC7^Mv;D7P_JZ#LK(}zpZSh_T1^^*-8KbG=`CN?7
z^itRz&#@e$dJLlpBBb@c3cm@W4@Zo5>^j!r_O~YPH}lY6)VFb{P5~_`0bvs(4EngS
z!lt&oAzZ0wu~Ssx4<7bfZo#H&S)G7dg?gMbPLv&YZ56Wo{s}lbwHJg?;I=})pY9{w
z+AndkEvu=n)v-T^1^_Z^YqdIZgVP1*EveI)=NP%8b2+T|!}2R9FLSvsKHG_W7TfUn
z7kKrU#w?5k49*XJZ(})0X+Px*h_H=%pUu%=_5@APzdgG$2fA-W2HrLp1cAIm#$}uc
zV^X)NBD8tB*|gtZZ?87;W&7JU1fBLYXoXU-Th?hVkxq^H=whzb{Nn1aj9zmv4?%Ms
z@<XLq#m2F<J7>s}y4SGo18++|kUR(ty?7xiB$_`ltgh|I92nhxC5W}@Ab<I=zGpE|
zSsw?Spzz=1L~Z2+uhvd%mK!@RDd_ohNqe6$(0HIF^8jlQXYMPWL+6a%C_EhJk3kxg
zNfad?1za#?bj7S6oqqLbQ+=N|uu!d3UKjw6PUdg28*zMGWQJp@lia(#(!Mc}H5j^H
zu~hq7ct^`~0wS0S>4?V1yEF*hKt&|HnfHB7YYHOR&b_}QiZ!g9jem;(TQaJl=CVt$
z<gh=QSR)DPbxZsD-PwR#TxBO~BZ2o}0|w@>9Sdmq`|W-3=|oj4@zX$ax6@}D`$PM|
zapx3`0c}MEa|2+rQXij~2cQS`H<+0!iQGUc93+`el4Uid)lXgrNT%-qPZ`$Pgme&)
z@|%F!=k`%&yjpA3oAJI?0+r!#`-uTH*fvZ;?L>cs@{5%bocN|#>ZK{fOTPMXasIyg
z&EAuF^SB0^Rt{T~7+c}iRww0k3Gq3nd2VtVXZ&ZViBT9MlO(o$O8#u6dPbxi-S`i#
zr5@XVGSzVSP%oY~a(n3Nt{7+vev=~Yo!8AQq5f^?2{F6v+zfnUgAW^+$CyjEVM_xq
znaXO;Iz0>Y!}YfaLk=_TA*$|z60UcgTTCR(6s3xqO5my0v=^wK34xl_9WUhl^_2}4
z+Izrj7J`PJdpk9^DQ!Gt%aPFIu%zcZDV%%QA8v4H(xR9H*K;R$xiTWshz(>9_d2Y+
z?3subKtGIjeB7WWNJn2f<4w(NZWs;jW@9{{r|Z#NXalm6YJLZDNd@2k`m5b+{9ewV
zw)GSCEK6q&N5&tJ{lnSZ-+;QCAdSreyj5v%Hb~L*#0agH<d~&tW|jUh{>wj|LuEW%
z$e{kol8DWMHtmXM!a8NgOcWSizWVRW>S_x*yn+n{@oGKpl?+)Jj@0k6JxMit0(ADk
zMv2OI1QMR`dVGj9V42Tn@hLVH3)*dSbo&T1YQ<Ui<v;=<33SbfIm&KB&i7(6uk$kz
zqC%Ay613@#9v^kf^2y0<Cmqqx7erk;eld51Vw98^mgY`$fW`2Qq_@=xd&1+Z*d3z4
z^Vb`kX3LwE21^6QYOtf7W6wAVaRV8lG*8SaYJ@1CK#qp(IXNXR53)d6w;jk=Pk%+*
z&@1|#nsbl@%F?P+RCgRO^w+7TJv}cV>3jz*R-0<=Q$HF(YQ*oyoZ7XP#`g9Bk!)?!
zC$LjxF3H`QN|BBm?1s`v6}?+c8F9}>`Gieqf_v}NQe1(LJG9jE9wP-kkimF-`D81^
zksie(p#M60Z2YA&<@hS^;-7uJC}X?aR`We-@X*P;R?T9JE2cN98Gog%Wgm6FY#H$T
z425vt5C=#KxBWSMdbWiNQ0SkoC%j6n8A#Fv807wJ^3C9~W2UnGbZV45IGoI?sjN$q
z63=o|`=a~kF%odV$CBHq-)02%-|Wb0%4LHrz~|KoG7ve(rsT04TGeM`@uCAI5=o+C
z#bQXm<jCu86zZEz2V!`Fl9QFTaxC-a_KzDakcdV<-`N+;l3)ON!jqOKx`N~YktLKz
zWMtxFDe<e|h+RNAMx^u+>jF<*3c!HLU>HFkYhhe%>Q))qsP=3wm*2aYiFGDS4jQCc
zv-9%L0*__gU>m&=?Tb0Ox0ShIX3>{XY0fP}NBLBc7h`YX3!S995*aQ>n0ohl_w@*6
zh5@TR8}e+G0|;u@9A?w*1Q<gQ0dmTCa7@gET73j3+oj*IF1{@)sTlP+PM*W$0#2um
z?6QrzG1Kde4b(cO-3uF69pt~CZK<u%yS%=bS35Sq=luO$ZtS48+NEL2499!fznKXj
zI4#s!=up=#3mUCsLR=yWy>q@5ApdOQ!U0lN+UNktsn843hDe>tX$3~zNA73mjnU#r
z&<$?fz;#!)#_2&p03f%1xaUDEiaZDu&V?Y$_Dg_x<oKQ{O7uIb?(CsaOK*T?gBB)@
z0;-k^reQG3!bE-R*uxRKDaf=mPdrAJC93<;lCGYY98}=;oz#56ulp9f*>Jg+L6zHC
zFwmgUJJnaEb=b(zo{PcBCS^m7F=&YKEtxqo$Z)`ws6rVCfRUk?SA$)f4wI&%wn;&c
z8UuqHJ2Bh$)&v&~v~xy54y!n22Fcn>cKSVt&ZT-vEU|Fg;MxWFt}u=iHNJvyr7@jr
z0TPViPF*zE05-v#TinwoplNcqV7oiM5@16~-61ll0sZA=Z;O)jWt<+06V+>s$yebo
z#v-@LB_%D%$?=Os0%UPO{!9?Mw%4lP(%WUp0er@loV=n^qK4{2*&^1w_rekFz!a-8
zTP&f-Dx6k}AG*@qa%l$G3QO^yh>d7YlEE^7WuTCXB1_Y$SALkAcDxjHbJpm^tCWy+
zmMNkY;$QqHc4M10*H)Cs#iDu#$)bMWHIrZosCQY<EQI+6liNsR9y~Xm4*JeK7^Mjh
z*M$Mv*wsDFp^w3Ay|SCc_M`0y$7H<U2^Uyxlcmpq>3G3fI*(i@01v$MF^iJTKOVgk
z4!mND`u*K^SM#5oKcQM-=?;kCVkJ0EJU@hWn${Iyy44l7q$mI0w~^&R+vAzyoLjSE
zkILh5L|GV2A;s84=I#2URDfh%b?A!G#DoKq(`9B(^UMAV3~aY7u;s}zqlydZ2MoAg
zr8?Z|_pLxMyCoY+CbZ{^d>@BW6crseW8{OGB&>=Y^iAoh_hA+2Pw&|=oGOW_lEMr!
z$q8p%p*09xry$=J2E4m{niokLimFRZJkufBh?%dqN4bB~uMupSVx0V@4ojWJWk@?F
zeRKlVP`qH}6zm@i1#&jD)XsTfzM#%4Xsm+KBE^B3FL8LN+^F6#-N{Qq5%+qr<_y!n
zy~4PQm0tBdgCiHn(iPBdF)X||Te<M^|4?Hh>Z=r%=T1?&aPqXpBFOa2itB_o;2yrR
zlM~~f#@%l*7G6C8DZCm`c=#5}VtzP<@eFk<ANz0AW71WkJWh0tAFJrp7%ZPn9KJUM
z0YAFV;@ng8@n;o!as8qP0(@z{;K|F{%97^O&I<~xN6kF}DU~Fe`M+N>UzM(+K+hI&
zU#&T-jm9kfxavLHd-)7;pF*fS&Uf$H2q-W*0wQ%ZEu^Ij-oh;v^8mA#hlJN%sz-iR
z){ZP;-+DNCY8`QHFnuOhOA8eji$>MicUPmE4PfC%xNE;NmPeTA-$6Q4l98+_mOleb
z4sT>|z7_4N5tU!#XWQWOj<3UWEnN>&s_HF83q|m-%uwHkDxB+pg(RJiL$U|1uoc>_
zXDO(Qig%SQ2!z_lMS<=93%ov(&57U3E7gy6Tbea<8<fU|B~EsZcsnT$B&Y<*2eI>T
z^RyHdm$bb+S)QSpgrdqkNW4INwRK|i_tq`mag6=GroH%g?>&fu`Isev<71oA?(Xvv
zzM)f<!uowXK6pildCNN7iZfq0U5o%FqR14+(pir1is*D?l8A2tm;D20_ibTX${Sd=
zMRC`~)=gVJ0X43<+0#a@zxL=Y7Qv=x#exE$*?xqbt#!Er!t8s-MZ>$T>HnTK3=9<G
z<Xf-LFc8pYcE{vTP7={9F)j4z{Jvg}v)TZ8Xcca&4|=--PXmnyLrq_6_$Ng@E;n=X
zxc$n;LMwFb267XrQ1FIlm%%)#Ol3>4w^8h#Rh?h7>R2T>)#lztwf1_ZeP5RS7jd$$
zPgtD$^}fWyua?L|cb$JvW%zs3R&5Ge9z4l*Fw#eb6SW#^zko%BFtdWlzml)0^aEtw
z;+^Bpm8%aXK04=tqmD~l>GrP{y=z`?r$mb=<kZwhCNSW0e<Y_XzQocU#Fxfy`SUNZ
zR?KHQ>l@ko`QoXY!r2B-U>+g4k~=dj6dDlnjikSRK#y@!%*%LSnxl#%Cz{D5=sk(t
zQ)hNgyZtDymL3N#2^44yg0uv(OV!@na7ADXkMG@*^*fi%L6$*}HO2{^JnM;_0;z>#
zumJex+2*BsA3?iIYn!T1#~P*^UCs6nB*b&5!7kC{Q$mMXhCLr0O6)TNP7Xm@?+U%8
zNc^zfV6_#Ge$e}Bx+X-6eB}piJ~qIqh+d%L=n@Gf4ZS0PMd8=M3telK{nOr$C=j%J
zpIOcb(+}&(DJIT*F5@kW)Zy8dsD+o1!YmMm5PuyBF#a7%%>Rs0m=u$#>k(-4-1=Nc
z+B#2Y#*t#Q_a(jya`*iQia?MgM&F=;<zwT@5iZHWD=t}jm{=KshNNq%rs-T9PK69v
zGJL2*Ta2#4T<4?~^@`TW;^J65rAz_qp8oCYX+V?D5Gpdk^W0aE-@Yq_8LmrBDZYE@
zKecJuwco4zP7;`mJ%#c?!hKIRI$%~Vl2Oh*{|YcM2lbZ1p><U@wJwsDu=Z~~90TtI
zWHz-1mRg%t|G7boS9aDYqmQrVJ1e>}n6hQYE=ie_6BsRB9r>EmtnE2sdJK}vk*wKw
zM`zjisKeO`_k%d>^`b5)F${~H;OXO@wHf<E$xQrLc*i4?&z<-pV}+27oyOx*ORWv=
zEW?V|fi~e0`-#qWjvJ}tQT;>n%Xq#r`-;A@JXqDsVObo*_AF67Yl+|?itqOb*T(p|
zN^@wTGsSIfGYx0HfUJb8D@Nnb)!AldJRG|G_cIqC)`u!D{_cZ_A1+vpqi~~Us1IE6
z6yh9KwIaTE6uSal5(>Sb0H`*lGUGk%^%ZRQVwC4ej}%pwEW`7JzP!ikCKyVI$)r^G
z_;%!T_YxK*3(Owq^xs$LiT@0FOZpL)+6TFwq_iqt{|5K|DvWSON3KY~=&Y@=eL?+Y
zJl@HqG`W?Kw5oCf7oS41?3RPrYNVPjsXC{yb(UcKDKtqC%*1Agsr<_a=oPC+JP78j
zHUR0D&-4qWY?&7N5^tb&9X?;R$sbv7*(@6qR*VYQlUOWeJRCX(;u@MZJhXzeY30D-
zpAizhHQS)5`NLu8Ez9)bV>QdPXj4-e;c30MEN?S}#SQJ?$#nae$}v)nd4nfDCny1u
zLykNkgzO0_M{P&r9m6SY;gYeG{xZJS!DLoKy~}bx&llrP3|)c8=BlI)3&>Q68ryyj
zljfz#q3G8nAib3}h1m}%hg%`qnACRBIa%8?zs@o2l0j`y;$$UTDBZmDmYBFY9R^P*
zN4;R@b;G2dmBOzwz4?_&lF@Ag;>%vb6DX$Ei>Q3iO9QE0=PlUzV9#Qz#2A}=yT&3{
zs*gL<bk{})810;_RsqW58Uwp)7a=T=XNU~O)1eaY;nOi{-y-}^X3Ue81#O|$<k}O2
z?VEpJ{7P*sHuzTUa<uMDvbn_cPixwlbGx@0JPkzG{Mqpi%JTw3xMPVmn#4FH^mv&!
zW2N4b%gX3E-zP<dCCjjahvHNyaHcw&Akk4PoMQxabE*V0^&S7zSof*JewC=enrhU5
z49xYNT$C@U`5xk3q|TgyO8dSU4Ng?v*vuu58lGsg$klJBz0jzitTy|*yiuY@)S@iz
z<!*fRqrpV0GM$fINZ}SAhZ)axRc+I}u%GciC5BT(Y}GwAiH|j$uAV#plb!CzTNYX4
z*q5A)<OZWm$#b+6an|!T0#h}3@cK$z<Kc5xC&ZHWEBn>Nm4;8n`XF;v9PpeEk^WFd
zq8Hyaro&t&xRLC}5mhSwUzL7M-8J<B>9vnKCRg@efViBxwfWZo>7xTBbbVj!S`hdc
z$nYAW|K~~IVUw*QMKuC5O88$jP5{PaxljF^&kOwa&L`J`S`#`VWj*GX{IIBs|4hnT
zetWE`GX$V|3k%NGRKKM@>n2dS=&*h2d>im@FLT9y>w(1%X#w10Bsst9`Pc6;6y4RC
zOfvR`SrJV~@ER2v$nKM1<GN&1_<LX_oXML^K0|KqTRL=Q?gD$HceZgFQB&(fU8#`F
zREaTKk_T{}hPK`?*-XvCYdRopBQBSK$>ZN<1@Z)Yzp^D4i|qVDeYxyc9(e@1ajB`S
zdhb^4=RD`*29MB#KjLCiQKXrR%}>9%<4+H;v*0Pqlb9^1@kk&jxz?m)MvIo2SbYB7
z)PqamdBnxfs{{<7bvgnTA2}dUQ3?Zdrj124syubDJf|KM&2hd5_enrGxce=SlfqvR
zkn~^2aN@ZUX&|Wyi}BkRHGr~HmYF4p9J?DEY+Q^~ivn7DObszW4tw<ikG8vTeW7cz
zjz~t_fW2sOCS=_jj;&E44gc$0klHw85Xlz?id`(zbJ|zRD-`Px6lk7{R|KdQL1tDu
z;~2<FommrI(bYV6LO`8@2;Hh{1mO>;$;4sQrAg<DQZ0c|9)VGkUJ3sJZqwYxAXaz`
zVk5#y3Jpf$OFmPeMRCwwPtXF$EG~_lUj&gPJ#AFLZ6pf}*%%+4|9Je&a@PozgM4Fz
z$(K@x4xR`HwLjML^++A%x*r0lZsTthvkHVe=5kidsIaHx*-Eq9;Q8|0-R7|nAA7`i
zUV$9^Kj9)>23Zy!P&6T$vm^bYSz^Z%*HfYBtC}CM+M3Mw1TXfSkJEx``Hp|b+S~!2
z^-@AJ?_tAmL2yf<>@fG}u9Y;fOXI32c6e;b;B_#cjKxebI?+`GVT6|+xAWT%J|&6K
z$a{8lj}TI`V20WU2E@tmjnHN&;UY601l!6vlTtG!4Yl!I>R=efHzd3ViNl3IJ*cGx
zuS6a@Kmt_=ddE)q1FGy_Tncs)e@8#u^GE^33~@P)Ay<~jM<#jbBibd^QtVeCfTG1>
za7@KESIdhfzVnaG=PcnHpl&*&wsy88?pkR7yn%YQ4!Btm9vgS00THlqcY{s+qiSjJ
zj?3$F4ft#SkCg)lL_o%>?f7}m!GxfcWyBh1FE&FFF}aG_fd5>ATO6n*(Tv3SD-})D
zBMfWLeXJLnh$sVRhlG1us}tdg-mKr3T?+!jYJ<at0m=H>ukAD(X}&O8Flb9yiSz|5
zy8<hR!-oTM55A;eZ&-wcW4Ax&!=ylDVQ7#Ih|^eT2aXtUA>U^ql_*usWF{2gk#T!q
z+H>9SdRKV4WSh5vN7!LlY5OmiWS0JZQ;aLAfEVv1Zd$}(#TORIm7zb%<Onn=4j*#^
zb~Diy@-IwRwXvLPDZA@Ii^psN${vt|c6||eE)9H&?jxA%^vP9tUOld2#U*v+g)?pV
z6?TB+LVLC*l2ii}xLV)f!C~qwdSJ-RkFjwR|EO3rV4E{iUJ(g$>JR>D_w@-V4w81&
zOn^N)iHCcBj@iSu6uINU`}}5KI^FB|4BBhzlccglQJ^>ophjlqvj5`=6EO*63GMP7
z4s6-bsta)2O#8@P1Xzhd4O7TMw(;8y*s|!G)JNg?Qq0t)Cu#p)i5>WkMWUFZ;8fQ{
zeP(}BR`R9bRl?8Ck`L`6kO+)=BAG|H|4(;c`4@HfgiWJ#Nr$3<gmg-&q*96?T`r*@
zEZvQ?vLY=d2qH*_G%O+=E7HBRu)xv_Eb$!f-+e!S!1MC?zTpKQI5lTx&dfD)d8=?o
zjUR&{h=A6}pSJUB^Upr$#@0Edf8vgb>fU{9H;B8>+#Qr(yb<jH){+n6$s1YM0|+h3
zBK4_xHGqeSlY)QT98qO!?;fMsd=>c2q`la7yo%(T_$Y%_#M|viM~F4PG@UcharZ}s
z<2NPGPG*aU`{u;%f<XWMx}&(eoq=za%1E(Oxp}#PDN50-Mg{><DqFNKQs>(uhQzMY
zIeTR3PKEeY`ObC4w^h3f;zSqYK+t4scX4C)8h34`mY2OueVr;8?e?oULhrUkqEln;
z;?>OPfq?Lw1z6R^4^@UGz%eN^U3-ad*nkUiju|3KB}{o|_khB^ZNw_aawi4Lsx<v+
zw*L;Nt~>ma{WH@|eUzP3m90s%A6a=rL0oz3@kc9a;v+|yUO-|9%33+qt`vfVSSLse
ztG^9cQY`0w?}khPex%*L?YSSw%PbLzp+F!UE&@d6Q3;c^u`md<c(2QazIb!wW*mQq
zvy^3~fu#TN0|%840MQ)`@Hvs5$^jh{$9rK@EoAe``%8LSo^PQrmn*9-ptv?md}(A?
z?0)Sr+gO|{bVHWxy`Z}oU}R2=ZX23p#De@!Wt{Ox>iMBkDqeo@7RWuhjyJam`RPir
z*-Tz+&&#<O2XYsTYezp9uF^fR7u2F}{=)*?r8bc0z@x?P8dtq<TTt2N`e>hzSJv&~
zs(E3%2qHB3&7L@eKUV{PA-fetgjrqq!MJsA+O@3So!i|c0oj>9<6p<fM9;7AJE<wZ
zm@Gbu|FT@Yx?S;n^w(O*Q^}t)?6J=Ynf~%1HRg1`^Te2yX`hM6Ne3hyi(p_kdG0bF
zxbB|aaaiO2#)Ph2YTE(1ugmyBImCcJC+8xOL;1pV+Y$a-eD<+}SJ-cw76T%R{0*p1
z9mcr<U<HAhk1whYJa{8eh6{&-Sa*&5$32K8h%Fj^lg?`<oxjkj1W}e(DbbqTK<>38
zdUVp+4L{|Uap~^iK&Rn>5eMCCOfyppFF|5C?a6vSOL=kFSsV=LQv!)eldtvlS`z&n
z951cQX9iB=3IADF<-%8C?d{vFMJ5Ne%Ic%1W)xg|n*aw9zW?!9F0u%}(^Oq!qj~%5
zNBdl`mApG_%s-E2RCt*=X`LiXe@VCA%seq^uA!wabPj7r5YOpf#a=S>^e8{;GJ)XF
zmm0yR(qv0Jgp$^}{|sl<F7@oyz|$q0*J>cpr5smU+S#{}^>L6aV*JCPDaeu(a`WxP
zXogz<0!RfG!y&Us#PhT9BBD*jKc7x-g{7@HtpeRKZ2iicuyaOV8lZlJ3o1GXlsOZ6
zMF8xF`$=u4=ZC6no8inh@DSs4eKJO=NZdz`v-<nUtISxeTl{w#S*5$`dfzqK-qZNe
zQo@f#IbdCPM2LV#!DRU9rES2s1GQM;BW#{n`<sURZS`?r(Z#E*yxGUjNT~>3!H8w5
zG``2??GZFl05l2B4m}6k3ujBTqouwhh$7aC497sW1y}{sp7|X+J&v#ZQ77NqAMsKP
z9@%bZ)aqCYF2i0SoL{u(Dms>(js&o}A<K%(TwK4~#AmJ6!U<#e@&5#KYQi%1Z`{Ov
z%CYNqF+&hH)YYi>)v&v7%7^wMj#5PYl=5mnN!&qxLI(Tz=JnrtD7$ASBP&lidH()>
z0RNb5=9015S^>0%6y&iDF!9UcuVKVKZ68(Xf2e4%M`+&e49v*smy*Z>8tjv?mjh|s
z{^6OW7BC-m-hn+&$>T{zX-La+WdZ7Os#Zk2X|7qBQ`hBac`nw5YuSqu-0+aO%wG3p
z4>Ev)p&_R?Vf9#GJ?0#r%aNjYHU0+YcV+frYp)zM&Z?~o`T8fiEO}J=3_SY)DptHM
z<tZ@g-KW#cyV4e2f5=bFSW=G0X!lUbPl~Q0s^=hFD7LD71)Bs2IK8;Gexl+42^^xa
z{%BeX?>Luu^%D|+Zd})**|{;VD`0bZfpA_=h7Xm}$}ssdQ>WqWGIJOlNR>D6Xm=Z&
zjSsfD;s>GwK(aCp_2V@k3@A|(P$o7Q0u4?hr8@AbD{gIZw~0{KH=JYoa@*%y?PsoF
zhytRsL>{=T@vj}vcb>d!Zg#HAYfe6@vz6&RU?BCWe-#+8{sB&^?yJ}d_iS$d@c2sA
z=!po+>bJxHa9`OX`Az!}uL>*@3X+gd!a<B#RJ^)`$?grYFvs4sst`&;mqFLXpa^!Q
zTG<Y%Ef(}bi}$$>>FMGVDuKMkoyZ}H{}xkLct?0vXso<?cWNYCmNy$^gLC<X!+PI#
zblLjPU!jC<x_v)#JI{_QWNl{8pV~iPsq4b!C+9^IeG-hNt`sYP8cb{k(Y@FvYP#~f
z6Ru(7Jo42$_IxwiiF*h2pbx2KtWctvw2{fDhGLBrHM2=ihS@1A8?KNIrhUzY7zdn2
zO%QihF{J_Pwlx2^Ch+F7jAV`?6o0JceK6+XpW7TZ&M3a-Nm^=`9*OCO-BiEe$q&%J
z&x@t%<{)sicydV4)G?iyzd4OTkiEfhT;aNKh-y8N74vt=?!6~!HkE5-FH?gl=%(39
zjA*jHASt^k@0t+PB+7Kq!@F47`7OH-%Tm|W8Zy@K(HxbGQ;xfIMvVEoZTD&!Fd?QC
zPVjSzssKb+M|v~y-(Y_c6v+)Q6>gB<aeW4LZL0k&!ay@|;&QdMUyK1#wX>f1FWxn*
zyy;lV$Zy?3Z-7k6m^3nR?L51;K7{$!&0p{&JB!mMS7vqXPm6C>?cI(|J#u!tpKE?R
z$>U)sI@?<E-M_oH$l}P#T^#<DG=Z0iqi_{#*9rY^GOFv|buS;vdq`~5^Sjo8neVRw
zfr?@+IBe&4shlU8!nHqRHs%}6Z@t&c#FnpOj=ldU4O0Zhe3bo}(}tUAx1xb(5M<D2
zFn^u41FR`!vlX76ni!Wi5wvS`-%oa5<zd8<yRJGYXZRf>4*^mHFc4CMWJBmVD^-ZU
zMrPmX#&zQAo6nZjZSU+i6MCI(>?+yy*UU`UQEv9N85*=ltEZI%OJNbhMC1=n$=S$4
zx5KRPe(cm2LsG@l^U|M%<D$|VYff1E0BCQIbS9Me1<pLK_YhVwT!>1p6Uq>Od$I<7
zlX7#W56wQ^bz2A47O%M71)mA4xFk9v^*<{^r~ga^hFai+O(q5Za@93?9eQ^kuedo~
zDWNIB3N$epbLjil?Q+_xxV0*aQ4|3xrer2yiT|*iZ+M2nQeuZ4iJo~cs+C_m66(ds
z$d^$BJFcsfdfZ*W@J+Wla1Z(X?5|fNFq;b97pE*I2ct$9-5z(~K?6;Veh{aqPytg^
zXvtPosL!6o!uIN+$Gpipi@P%&YGs$_Bl&dkym@$NYo=aPSPc`!EC)c|)YnNxTeO=4
zrG&UR7FYB}_IwocWC7(5@dN2@rQtL(60%Q2Fw6P1rG#q~6o=Kse*uJad-K@)(kY(r
zNHNGehU3E1V7;*Mx}W538;X*3fhOJ#INR3ut9F)K!sHHq1+x3TR1ETesR)_03-GLj
zr-)cjSX`<!lhYO6<=e>;bzo%nAsuVVceVx4*b_He-yJ%c$BNkY=VzY}tVSmqzwNdd
zQhpcJ+Im1ZM_UW@dVdJUYQj)@McUcc?%mvK_j-wHl&07v_P0|DCLNF=2E>=I+1FSm
zE&;`)PS|7Ace}Ck_<RX_G7ItZaYeV;U2wOb8(ze>vNk0MHM?Gp6wt*#{)&e#G_0D`
za9FxFkwULMpgnpONh#Wj$@rA5cpyH1skQ#Z{326C7G7|9`npy$IwOzm8{F><JQ)^9
zTWH$n@rQn{0}mS{<D$zE9nPF9sPUk=c6p3~`BeO_tYKFBtdv6F@^|GuJ>-o-J$lb=
z_N5lJBUkiozloq7CVs!mC<*lPgFOm`fWuT4Y87i;@ZT!|YUy}@r{@w%3<s4IeX{m7
zMe5cc&o&lj{jn`PPuO1!z<SvIDYE@Llt8>f=GoO*O<Yx9Y|Xq~7<k~YPz^u@_OQxw
ziI^{?YMg3^aERZ@YT3mjr?cI225-5PqLp0MSOs$xzNC=TsO&1+PDazYUmID{J<-rU
z6A{n1@WCs<0?vySGU`Hh;9~E}UOvpJb3g*vsQ_Bf#lTv0;5A8=r#X#|%i|`q&@Pbu
zYwrV@QqBZB%f{@sc+?L1Od`TDk<LpNrPSp7IHqHZZ##w+2BKylqrdADBbB$`W82yV
z-hxtYk57ixiq&s`HwOs)Unw8(t`%23Us9}ghfHYSccTP=SZAU9sBStYX0xb)3!F`w
z?jY6D%=FIy>gOpMA2X6h=4uoq|IlK0=nEla`&MTC7>J~~#(+Z-N%WDq$i%SmZPG`6
zlTbZ3t@s=Q0^w0a&4LkhX@SNsaZCR~L1vv!XQ2WEJhBB_L0+i+&`sU<0&>T{6atT@
z&CYBvA<>E={?{OL-Ca)Jze>CT9qUN$f-;#?Gs)5n;agnrl#BIEptbOi?tZ;H(h}ys
z!Vt8uE1!>HUu}Q4VxH5|q`T_*nVx(}a)yqZ!G~$$l2|<H;@ho7yPkK(Q%ks8QPeUj
zI$M2vD;Ar}(efRW_v!l`>QOdQVHIkPFaGhg_51NK@|BU`(lPjTR^}`E(s<Jb`QK@e
z8$gH_YAN?dku-II0Cc29!CchBR`~OZ4=J&J2_yD4@!g3sA8Pzjb6q}`Yjb~wTYr9B
z-DU||ejykSnFt|iI{8^jK7Xx=UPEae2Hq>NcFM2INQ=t(MWZ__Wm=AcVEeymv7I``
z3cVo#LQBJClYYzm`BT8%;biSLzF2E3I9^xMNs@FUZrADAd!pd76jVpAtsJL9I0tzQ
zEhI!lw#k(_7u5&?&>t;9)5Z%f(G`KSGaa4%Y)ZMuPX6aZ50P7M<<YBQ;~dg^9h{{T
z4<#79rDmCyky)sU)%OpI4%EP-A$Iyp^)J1N8!~3D^eujuOJ{ov@?3V{7VP0E__RZ3
zd%0FrbR;-K5fJGwRmlv3PA^q+mu=qJ;8Mt{+bIlyH2#dnT~61JV=w`@Z;+w!%$7s6
zvkMg10qWY+v(`uhLCvJn&lo(Yjn_8z>WK!xL3F@!3rjae<NF1@mp~Wf)lC~SAY(3k
z1<}yYD&IX-wE4T>z1!0K4G`(C?ym~ZD^B;GguK{^=@yeaK32HWNfR|*kESC;%4-)Z
z(5qjBg8EC|fLF0`8@9L@$S8Xq;k8GBsZ$^i*RMTV$D*YiLt%XnsN(4M7hEn>b<q_8
z(D9?^ytK04e%xqM`oi#No1;SDuKX-;Q>(uucN!m-GPtz210{DV!~sDY_KcZ8oE9qZ
zgSt}8>*t%T7eVY%W!cEaEje4UI{h-xnSr>H_OurL^HcgR8jHgbcu4ECLL1L{!<$m7
zJRi3eEm>}GLwhtr4&)Z^FdfyW0q7x;5{6#O!m`_8E<UF8MPPe&MYmga9k#h>af=G!
zvf`q|eTwm|Wq0kPP7TMHzHrey^QK18Z8G)kzPC6JkIc?^ia3Wl|Cu?gw5Utcm;stO
zigk1j-ze~)vEX>Ly;0_k=9(ZG6RR6PNAm(~JCBxH51Dy|jFh&mc0caxKc(Wg>)7?H
z3DV2UVC!BzUVvsVGEgcGyiKQopgB>OCJMWM6dUQai)JbKn&IhagG*cCAf*-?5}cZc
zLVfog)}KU-L_ExUw_Lo!(;5_$eYQ}zi`HxpEI#q;{D@u~Hn4-8Qhtc}ay73Mo+H-f
z)<Ddi)_^zj3ySxzt-3MpKRn`T$q}N7=Pke!g8%+u`^JfMf`MM!N1npYYgDvAq&QMH
z{`E3K=l$-MUp8`Ap4PTRK4j(aK+aV*U1}}Py`=kfWmwF;9piT7U#iX)%2#|DhkmTd
z?#gNNbZyW2eB&z*3wXLFc2TXGGr0Kk#A{r}114s`R>afpO$-ws_i$t_*21<{cDS11
z93r-|6NtS?wU(~90b;YLySk1=jqpa>s+6%2a=2{p)X#NLTBBdJI1(YZZ9^NMklfdX
zVE6sRaT&-kIrEk!4*j9e48dc5(duNAP*ffEL|~_s!zeh?N`RlVfK0enrXQq}m{s{i
zwcgpd`D0pm>d`~j&o?P8xBPa-n_?+jkD0z#=j~nHeV&z`X5y0*B^@_l$YfFj#=^y6
zVJG(|*bK33?7jzUe8({v^rI%o*$*<=tZ3qC3+a_ZX#vzXn?Mc2SWgu`_;W19-YhnI
zxvh&wE}b1`E>`G3TfVxNZt@`)z_I`6*jbs2sVKV{M2Wj>5m%bZbUP>TkaPGC@W1*1
zM`x%!Em66PVzPnr_<IY0R@5ZC67@vZ?$x@>q2?KEH~U4C!{)12522ms0*d%p(w#FB
zbQ{)N93!iRrIX<rH9%^?1|w(uLinHPc-;xjm}R?7v%|jdh&nA<;B2*`*&ltuGwEmf
zlOD8X^XBDf-DR)MeLOnxkc-Y+3hG%`W_7I(3m2!?j`U|A+>8<V{xHB(<!fWbo48AV
zONLf|Z_I+?DPFPxs19v)xt)>$av3q*c|N{D$@2<7Qsysh6e-bDYTL*6myM7*@G!%R
z;EJGMpCaLM1V=g(GuhINXSCUYJxi8ZlXQ=iiwfYf05zLYYw1nR#UE!MW<IzbH^e^P
z9HGwDr&z7fBg8Q$wo4pAc7$Z9LnSrNJm%K7Bpz;t%T{|_AFEF~bGwhz`2gznHlOX8
zKYI;?s_;(GoJ8l<HnwhN{YC_m9rNIYc<tw;$gSv#%V=E*-|(WPWLI`J^U?xOm-lj^
z2yj~<mm$xK5OKIccvz}2xwl}#sfr)OC>NIlVFMRg6<-x!cc<&+^a|~iHr5cr*51QC
z9=ObZn_nvTR!y9<B@d=9<fc@t&xX!l66kF5Zk<_Q1WSPO**?B~x2H2d!q$zEv*I(q
z9_~{JjO*^5m3fkJCJEWyYds!zx>6R>!Z{_m=VHmNYY*BZ56?_xu4Y+iWrZ<JZrzlD
zC-_n90k?B=%I`zLk<Fxhvb=wAZ_j<4Gm2yK2y6(pe04l^Mrd+=C%C04?~%S!h!?0I
zBF-GQ+9H3jtNL?^akW<2aD<r)Ic%;QZ=X0|bb$qyEn87eYcP36iP4V%TUE9?T;@O0
z?5-Q)DLhNk#NtGfK;FvSjtWs<a0k#TAG^#cktn_RW{AuM3e$Kzn(d{-n&@=QD}4!r
zwQhbd4NrJ{rDp07Kj*?^Jkg5XSrx3nlt*49KoB7Uen)nbvdIv1$jq<EI$Em<*h&gq
zr|pcALb0t1-Q|Bgs-w9P#1LO-;6pe^o<>(cgM!aodrMNl2KoEC*viE((HXw<@&Pq3
zL(pVEFmx6xEt{QHPIxGS)SvNaH?v3INw6j!&WFpE&%!Q;TJiQNAGj@4FFgp-c&oBi
zb1YZ18Kd_lQwO$tPVBk6lYn3h*+(yX%V*c^7C0?`>;WO8C`}gn38`cVX5!(|CZfVm
zpl=vrbhV6OteYHo9W{1U(#}6&$8wxHkj=O6naLfoD|jvm9SYwa)?E2t!6K%G{@CI3
zSLZ35DwcKuCm0pEeekC!&BUsI3>3$?)A)jHXiJ2L)ADx8Eb4`1A*1YF3?BNbiY$a7
z%tv1M%YhoG`UMrd8?t)J@So7jO4y}8^0DWZtoMY@@m+RA`pMtJRxjSn3_PF@@^Y=+
zk_#|)lQmL(30R7q<+(7qiZvXaO_}aF{4R;ZEox*sV~eUFMt?i-1g-669sgY7oU{qw
zg!!8HC4C>ibaDA~W^dWV`|yLOe4J{v4)YJU>oM0a#9eIuFs7zEX9Y@e_-%=)#>BD~
zuq8VDBT|sTLq@;bANbCn0Xz>VY1Vz#s<EJ)XS(9L6C0Vm%0qc^xi$ORnRP8-Z5KT(
zFUE*NpiV__&A3t^c4Pr!qmg)z|AvM;P5P}Ikhi$WKaHws7J6mUXp%H_M}P3yb^A<@
ztrkO`6~kR)mK6Q?MaVP$k7Btm^u`>DZ=aAnHcGswOQ)i8r-SsDNNSs9+;-qm2iZfa
zpN}b4f1;mDWPHhfeHMEeczTQ&o~5lqCna=!f+F{BfKtwI`wpHyP>~*0%sd&2_-h>!
z{}>j#j>j<U^YQuIOAFc1m7t|h0oJnFkR7l6q$quBrVUW~R$q=qhm5Tw$luKU?$4B}
z{$9?{*#}veaE{2%RR6eNdTfOu+v!@ClFM<}>(gh<O(tn-Y+>SdRE(*}#>cwY&IHqa
zZoKys{H5D@1Gkx-fiis}2H#vRX*I>}PZc7x$MV?0buMVwV+$1qqRo{>D^0<qg>q{j
zWd^mE>r?pz+%xB|mm@4Qr6&qb2HPP?@AR$N4-Jq3f6L}0mM#<`goGi#oGQwvf3itc
zS7?WuQP&eqK7uPYi*%9OAZ-NjXIvM8M1;%pp8F|(3&(?A8l+#Z^(TN_a!n8ilUJpi
z)|N(3mqC{rYWOx|y7x3!{V6gtkQ3o#RTPn8jQd(mNTHLtR$2Z09qa2rA5o{}AWa6j
z_M2p~Rt~(Acl(=e`v)M^9<U;`cFqy4FY52Als;7?oD14NG`W^B-?e9i+&jt5r*8BD
z?KVB`ficui$O`t)4r=bKJ+IP+SFpB=SajrN|ITNzz8>+-J;bYP{L^3e+Lr?XhFI!%
zC&B>mz3~B6p8q|~3u<o@;NTs{6dfgC=GwdTyN9mKtiS&vWCUL<>Uzr{E#;*$rle3F
z*r6zan@NW<5|SM~L#%cQ^^*l9{q6+q3V2xY@X|F8UgE;fQ-V7bWYSGjhbER6_#KP|
z7<n@1=LTY4Grvoz8#yao1)3D@ceF`yubwV=;<aP0g|-&_K5r77zq!x&k_%iQe2Ok#
z$*}XAJGk$fS?Utf6e9*LgSAk(Z`PewGcyO?nvsv+h~HyIcsDuQhtjq`cbjRSX?j}$
z3&EOY9iL71s`0oz3o%f(jwWeY8K@9|zO$8)Nam8g)SBiFxmA3QyQ4&6CbS;>?8Q?@
zdT)-?&iB$s7La3B=iz<;K1!GR;fnQeaDQ(`UC8LL@T-H@TrTsad!?{J0;y$ICjsKo
zD|O-$(RQj8ft|n&hjFE2d@6sc49ehHl46s;{8r-&4Ib2UbJQzrna^^qFrV6~sEzu6
zB_f0nc`}}XH0YABOo1KNu}+svJMS~n)<4~I8&{KE<})N+<8jSk?Q?Opj@b=|jwKTW
zhDs<B?&~O@Dajq}_&A>BY1-$(9mumU(CD_>W=3|L?X1~c-eqSK9e%Wr3I9E6w$vE)
zBtvhpw51iXgbdd7PXQ%uX>;%$w_+KBBNczFMhj-=wPUM6{;kp<aO@;hjn}&NWtgAv
zDtpXy7m6NhEWY`BmOZE7-Xp{mw`B44CC2w7H{v(CeQ>)5?WBF3TrXIXSR$@_vqJ(S
zt_OxJHT{|oSa|m%J?Tont25<QvKMr^W-t%9dUC?ngk0z8+l7-YaMeVbNHXAJP^wie
z$?Vo|EUn$5dIfMSv~^TfFi4iWj<l~Vq@Lk#+V}Mc2`eYmYa0zO(pzf81)RFFU-xi%
z1Z}+o?)05lJH-t@o#!NE&96IGAX&XZR)$oC?N6*#^0Src4Nz(D0T)>*$W8v%8hdeb
z<f6zf8$6Vui(Dpx+>u(cI%3_Pbhzeg^wGEPEcwyuTNTa<nQJwqOy(SEFZo*kS~)OF
zQyh5|yU~OWGrAEuAYRVw6RhIZX0eU#qH91hKsm2J6h|=6HRCaT*|cm1U%$uwzDIJF
zb$SHs9inl!u504FE>E!JuCNxiE|&~bih$cXtA~k2uNCZMUMJ$n8WH+R4z>A5d)bQC
zQg_wI!JF7Jyn+LG$_eXk)Vbu8)k@aSROh6nH=4K)Gf)?j)`zYPSSMHYu&#ad>HJDk
z1r@HMB0UpxCfnp^T+_!h@9>JNN=}eFJ&`H9e#-+ARZr5CeU?t4>C97?-*+#yF{JjM
z_-%+~fJViK>Dd>oY12bAs$p&_d2@!A(n)J0uad=<WFm%rlD#Hm@4<ybZ5SEbL_^!J
zB|ozyV{HHA@=hx>4F`&c(q8-|p2ssOCzFp?0W>HlzhJrWeIw)}zOD}UkfF!03QemV
zmLEw8ly^klSuwRu#1gD>c2Yq4eahD=GTQ6bc4ytZ9fUS~+dS-c@z6g)sL~}%+7HL5
zrBNXi8J6<WnFQ{S%5fnL<?dF0ze>}1wY!E26E%z}*Oh*WW*JkPEa%P*QRCDdCuy;{
zlWAxD2jVV@m`LpM{`z3f<mhOcSUb!IfAcXJG*q6{^rmpTblcq!u{aN&S21}$n^iLB
z(k5;Z!PviZO)2xIut<@?Ez9{XPDM{V<#s`q>D%tL;gb{eR!Szyc2!a8N_%*H>J4z`
z`&Z^`_nn$+@9j1HyrWNqUxUen^_j1EytdS1R%$S0rQj~NW$k*053%gL7W&LIDDjPT
zVw)N5VFUS#D?uSC4%ZvJowl3S?F%kMf=qT#lMXk>hkM6;Y=<U-xX!rJuo?#Ex?qX+
z{KcKSsf(``Z>leR=uGAHPq<x9_~;hpJg-x8`d&mR$4|=0sAKA4mRr|8iEzi%3>Z$o
zgBX`<i$&0v4;X%`5Vv|mn|h6kXz69K+lk^Jfn~sF97&jn;$n2<(&#a)=vD_FnwVp%
z>mCPt*C!7;=tw0+zi~M#SYqWYtn-1N_^;Ds;Y>#>u-ku~V*d)xasD|L(DYGQV#?mt
z3|ZFOMSA%6-p)Ks7D0MF#7&{p+ZSUeBx6s;Lt5QUG*4ldr2IND_Obm#<JlWm%PL0K
z2lNhA$i%tnML(3SOY_XZk6D+3Yi9!StGs4`xq8R|gs1mq*P5d>SuvD+c$VG@V)Axd
z(#-y$@|`upyeftDj4tarJ3fvNJy=a2+)019UXJ&f$&N#ADYLM={X`rj<4&R~#q`bh
zkQkMvo2frjdC6q(650uToc9PqB3<?vTaPzo*>8~?w?w+^cWnJg>AJq=LgMpiz(?0n
zh6qbKZfscEUGhEX#Fj)Vx9X#^^6D^+%d2Q<_klWP6U(-Je1C^sylZ%|9ENzLEj1JH
z#p#!gaAQ1^PwaFB*pLoNIOV2mOb12BP`W&$+sTNY*tyQG*b-f~<2q!V4pplCdI#Eu
zbIbYO@!(3t5Ap1EpJ{%bpv)7mRLE&@XDMWEtKD8`hrXs1-7%;T+SCw0FwQ$yBD=}V
zS*r9)Lis0!R;kkSi5%W#VYi(j_4^3*`$2~lu~8$1i$}6Qzt&LWfm*ZydjHDs;9`ak
z`~=HQ!A*84RjQuB$$yrfcxH{mZ%pfmVSQdeAf*{0B9?gNgDZ}Whp~w8&DY2+4ay)7
zVLIsBu|LbdnXeB`E&pM5DX4{|1$8pC<KU1#eXRUYuL+?Dvo2!(5~Y5Rq%opq;MUmS
z>5TDR0^BSMxxhpGCkT2(?QmCJTmI6_ACaAdU1#_K)&Yr=`Cu(+`ib9)NO79a8@c9%
zygKUgj!8rK^%yP)B=~c+nP<$j;XJM)aXhR42Fr(&PF2sK-JhdG=J9ywHjYjF0?wc(
z%E~X|pROHZ{`%5z6;LYK*9lbZX~0GmOaYD=u52PT`YW}_Sa^@9X;101_l$zR?>jv)
zZffe+*HH7jLJg|1cEjdLNyQCukVlu4sM)TZS^i_YJo;j@Mta14YDPw}=iSQCcOuob
zwa@R;bz6&b=ERR`l)A~+vVljU1oHLFZwm8(!4l7#HGItP|BQ?%-_PvC940)t{o2Wi
zn<iRVL?on!@1exUv9TAAa;SQ&E2nabeSbK9(e8MgP2=Rtu@+alG&5x1<vOroqo~uX
zfmQnc+|N(;A=L-%g70iG0xw52%$`4V1fGo$q<KEaoz4998<QVz>ba7hXt9Hyy#w}L
zocvvkOK&DCZ8SvFG}#mb&)(E5#V65{gwKG6`fu1-Skk3k7Jt>-cZrp`snL#7<PiPZ
zX+9TNP!;+PSRckCwzszr)#6xvZYT6C7qP(-5nr{^eed7DKSjx*aAutI^!JcGe*MKM
zs>}rN458Y>h++D&$@)Sb<}$%T&$>_GXg%2vu65PfQVI$RyHgHjquYU5iTZZn)6vmc
z<1cG+70uK}DVOLkeoc3p%II4m0i($nZ5diqw|cLB(!OT2j^Z{Ya57tHy*0Xq69{N?
zC_@Zu!s3(m=P)g`H`L3_8jqNeUf<bZfOizy8h|f6Gc;5|e5?u9sp44XiBnVD*ofta
zbIkgpN;rZR!WqnqJ>_&2*x1<Si4?G<Ud^a+3JwMT(Sqv7TYzD7Kn$)nRPlBsPLWrB
zW6sQLwniZv0dseE{}rNRAj@9(4scyw$Ot=6JJud@NIN6fM&s1@+C66DK_`BL5K4Vn
zdLyI3MJ-U?_wScS4?qT>isOHuZo!p1{@+*l{L1b9?;GI-Z^QroOnF1^+Z3*P`-EeO
z{L`(Q);54HZcZm(w-I;NqoytVQBKpEPh&{fXq?Kjv5|v?Was9OG4Ahdv5B*{EFGm;
z2lZvCcpEuP9EL|J9_3NX#65q|1^qts%(8aP2Qo^b%-3byh+uU4I_2`;=>N|@)#Zgp
zDIVBcK%wYH)~-p?nN-A@-w}FVvEf(Qr@6T~7$AC3LEa9Amdt`?wc|^>$NT&Y6#}Di
zY_bie<IM=h{bxuexGkI!5(jz;<F+KJ-!ZrNS)7PsmJ}97vdVey&?6O)QX!4OS`V1L
zhZw603JceF+uGWeX>1EjHMDq_e95Z)$4OTT2VVs#<yDTXSre_4hkS$fJ<6~rzFFe{
zdI0AD$_=}?r6#f&vbQOxvu2H+;h+=q^SGs7??qsFy5KLxry%d5O&qd8M|?kbOUnm+
z7B>ztm@@M4M-1;o!r+F03t_9or1l4NwxNdH8<3R=Ip>y@q5DV&)apwEh$#Tz!kK^(
zhy8KBE?WBz&AoclZB@|RdTgr9wrX+#3?CA{`o&bEgm?VE*<SoR+hv-S@(M89myfQt
zarhiFA5<k`%RwdDd6rdkRF=GdUS)?+Alek~+>Gj4x)g@|@q$zsM%Em~D@9Ud;?c|h
zO-{0TcfzsjeWrn<qj0jE4}+nnYEV)L(Ej$PF}47-VFoN)$AhNx2BoM-G!`R&elXl6
z*c@~;X~z>X3w|vI_X@tOa-9A#n3Ho0T8ic$*Zp4VAx~u7f(qZ$Yprg*rE9d|mdh&1
zedw45E7}v~f%GHZiNHXgViW&)9f7q*S+DIT!s9#6lI$>aw!A#^`-^)W&v7n>kG7`A
zQ+TcGpR}MaS4^`NPyc=)bl9>;oD0m95nRtT9Zxc_rT4NU34f$`xB1N#J*8EtWN*z#
zrGpVHBpL0SBR49w1&z{6KAqY4$|@;%H9kp`C{LHm90RPYRc>CrCA_W_>zAK0PqewY
z9u^knV=46D4$Vow1R<Y+qqDPcn);pomH=#=!0%0i{I$4?i;JU4+9cHJ4q(%h|EPY)
zDIMB?#tz%LDRagjm^vmp6soKk{x>$y|HjS;cAbbCskIT|+v&|X+Me~>;A^!H)=4tI
zv<~r9!s$%ax%XSOsGm_RV0Oh?RHkvF%v35)2M6^2M$a{4f3glIITV`27I!`9^J;#Y
z#hiL1rOc-hP`bby`91OUXyYsBo2S2Skn4#9>F+t2VuF|x0^-&!G}?=wE=wSx<|yk=
zUv^UI_<gPVQYbz?{$LoTLLDz4jp#APT7;Ax92}f|ub<)@*G149|2uOD$^XsV6!M(H
zK<IF5R7=Vzp|aOnG&An`*(`j&Y1x14od{%1JDa+kD7Cgk?>(-9f$uqS6%XI|VPR|Q
z{D5uMNf<Gu`DqBcZb=#g_?0oBRgYSI^8Fvk|0Fo)_5bc0bB1f3eIc~W6#(Onm>^Sv
z&2g$<PEMwb90~-Rj{;f=OT_K9fqLi)z6Zb5yhDQ+$SO4*FKBCf$l;7z1$xTIIZK~K
z-@JBF0dABJ;Eat{UR>Nn-yPR2qc{0)L4yA-XbCKc=g@J8i#e}2^k!<ybBJVmK%YwE
z+M>@~hL=Rjh7U4?xPh(9hsK*1P?z}vaq^h0!eY=I0ULz{?6?Z{CFjD<)vc{T1Dg>*
z(!S*X-*ZX$-?=z>Jf$$;ICR8)k4zF3>(uP`p00k-xT?{9!PeDN>~31=4m3)vZx%)g
znTu+`ByZ=P(D!;Qso$ZwlmcuMB;GoLDOh|<%T@Ok<03BlST<Zq#KjDwn*kuYkekOO
zH?Z>$X!Lop0ZD*?5tGsOwXvTSYCqkL{2qJy!!(z=N%sYyLvZgz9i2@1WYs#UHjX^$
z;?k%BG|!+T^p9INHyXCFN1Kyk3Kk|S4Hb-#7D~&KSqZ;SuJ`om@P4|<t=425GQK(~
zW$1kl8M=t*);Brwq#jv&!Ls6f_;fxwO+3_~*B+52-(x6{j5k$WBZVV0Fbdjcr<c?)
zLIR&PaDUS?3JMBx1M5(8aQrT^dhU0$Y2<8EYATg{^O`mb1V{2&(}T-{*Rs7edK#SZ
zbv`m%DUIy-_vQ~D`Pj2g%~RF;_RR{0p3d0kv6fP7OpB(g?mVeCg7jl>ifg<O)7?{k
zxS=<Xwe#^3PC8yzB%2CiAP$bwDSfjyU|lJD8kw%MhWDQ!X#4MOCj&9qFLnJ_8I9ol
ztBk%UyG|g%l@tUrH+jWebFe2yr-o;41=wn>kZrotPy=D{G^O>g#)`FLzJNhU388@9
zT;7zdFnm*7TkD10L?of6#^>ibK%euImX;P-dV9Nf(MjeCG6-;P_G2~wiN!|xe`4{R
zf+gkjN52}OId5aLAErgKLfu`-!eai%<S@{+nAdQ^i>u8rT-dRW0RQpF8%aO7ar%KA
zdYqV;xM1})v!@y69t+M&gVWoRnjq=<UqC^(a7++U5wxYO*<V?QhOz(7?flP0gt|>3
zBHDE#6)f{s15sJ=HN?IG6G`}ykwf+d3N`Jrmg%JcsEe1Y0dWMNWg(Pff3JF3J>^nr
z3&?&tjIpFhZiproNw_XpbIa=fT+_q)QkLw$D3pd@7AD)o#6*XZg5vc2{Cr^YjVI3z
z0TN#pvo-DYvV{rkxkGQwzXw{R2oAJR;83PsS>}zv#&l(>j9O*X!O@YE7c0**UzDp)
zbuA?U(1MM?wv+A;KrAicGS0{cWg@GjbZW$>a77#ojXN}oizVYHi6jkxFBmG>$!cQn
z2kDRVmb>UT9Zp0|{Q$xZm_CB=k5fff1(B+sZ!i*3;OeM;8A5|eeq~5calKcQmw^)b
zy=NwrSa6zqP9EQ@o1KuB*xs4ba_>L?>i_4TIA=lf2Ahx7o76XO!1q{1Te<X+W$6C_
Dz%GH<

literal 85087
zcmeFY^;eYN7dAY!qyi!xlG2@$A}Jlx<<LWifV7ApDIlGS(kUPfBS^>4-8IrBUGL%Z
zUC)2;{_y<p%v!8j#BkqdpS`c^+Sfk!Ck-_Pd>jfK2n2$!r1(+`0>SWxK+r56V1l2R
zppKe?H_SJ$6kdXN@Vby~3<Pi3E{X>35D0bH{TE8?`k@sBLI+WLDWl_^u`}=MXY84I
zcQ|>LQE%y%-ml{1ZatHCR&Dp{73+_=uc2Co8bfRY=$6wprW%v;i(Bs&8;bWD*zE1%
z<#lwN*uCWlHT6(J$8`gWTTgzXelzE{a||YVHdM{OxJa9zl*iP(;l|u^b>aPQSkz`i
zMRHVa!+pcOWf4L8^8da5e~mz%z^WI7URzZxGX{Blkr}qrBAPy6y823*o}NA-%B?g!
zyn9NkjD(dNr4{WFtA#jX8-+`#vt)mF_a<}^B|4P)`CD;}4-j$075xDlG%A2JR+BH)
z7#4Mb`lxT+?bvH~=ES!ZN<^3{{ROtpG_vWzn2pHB%fQaCh_b7icqdKZJ!R-yzTIFp
zR|)M3M4gy4mwVZp?N*A%o~X=pba9Qdqyp_%&cP2yK|oshI_Jh07X$nD<{KY!W<*jY
z-ru|2rpFALDem`@n!CSV;;W4NUJznAu}n3etTTUTe{HZlUAXnr@Ng>9bwhGB$?ScM
z0Cc}@GWX=|hJ4Ga>0SpRN>3B7TwZJNySqxH&%+<1n{|ta5#e9>??0feJ<0*wrGfU(
zcc%1})a<J;C-DEAcCZQzyrY8co=nUH;$epPXCZGg7Y}>?<f4{;i3TCD3=Txg;_bYS
zTs&0tv4z2K!OgVzNw&5d!XVAUFJG#Cb}OaoXjoWS$YROzUa`Yr@N^HnUZo989<VmU
zoI~TNnz;42I9itpY=2D1YSvrh_E;U2{qpiM;B-j#;V#xrmV|HC?)LUo(W(gYq4)+v
zkEL5_EN?IR_vK?PH3y;e`8BUcTBcb6mz$HQ&RC`klapRHY>9@>rPg5);Td%6hN2k?
zRnt3O1n$|MRLI>6zkt%3w-bYz&$-c@Xc0><Uot-ee-nRZRW*$aYlL>iP)i+(?;GS`
zdgF#h7SngVWbl^zJ||HZcz3(uAavz9cBcOFrKO5KtkwJb)!FXsnSKvcut@Rc%Qf`1
z;|t%|qt8;PWKioUe*wN!TlDhqFE!v(W&vGv^z?kG;3B!F<J7hZj3DV)%qPoCVqO0U
zT2h%y2GzXI^;)khfU`5KzsovnbMYdBE)37k`kJ`T9yh7s3~ape=Sm-NIu&>34wb8l
zcnkiOUAu%cTcWZ)tQ>_aw_?i@a-Lapin8=PW_50HcJ|8h@Nm;ZED?bW3{-R|-vxQ>
z=h|3W%K7i#sJfKb_w$GTJ_7>-xW<zv=?LT`88k^#|K><(>CO<g{~)a0>w5WNp!Xq9
zm%4ox(h+6B^KSrb7tP<_ABiu%Q6=5=^x=h!Q2KZQ9bsGu>m=J`%O7v#jK(v8e9PnT
zTz|Qj%sH-z8W+Ed*Yy*$tEtWjJ!{Nxj4W4^vk;ail`6UoMBKS=I-|&YZm!O3P)cgb
zcfcMWEz_hc|8V*_krh8+P3qSD#TRkBfaiem*1BqX?Q0ivLQhpRuM}jjcik<p88%tQ
z66B|?tsS!6a2NKX{PpG473^$h`grGSmv5F=P#e~U8TcH6hPh?Y0A_>Y+-F@yOTEXN
zg>0reXFG_hIn`ZuId72y>%7|9-Y%B?I>ZD=29ZYbvcL27rInm(4MqCYqUe!9owjy&
zo9$D=$PmY;)O+VptI~Oo?{^86@hZ&xohj*9Z}cZ8C(m|Au0}UK#Iq51!(_*S;9u0z
z_POV272;3KI78Ol>Zj54UVyMjtQ)S+EJw+eN%SKwf_OLP;rk#x#h2jS^rVEWQmctD
z3ri5Rx7X1YEuIpH<7dVK-sQX-?C^~d+)etf7ZTo9I^wtItNwTb5aG`2_GKE<*e+OU
z4RvSA8K0lj`1Nv(qn%wLPp2QL%jy2&Vhf1VBAO_CZ>DBjecIu4zqH0oM7bc$|CS!M
zt4XW9CNdZbcJ&O;c(~g4bjL?1ePAICf#inRm)1P|RZ|lhb8<nzATlBqvwD8icwb)Z
zE~MbTUvYABdNO&X`$^u(!FB^r!RwqbJG}elH{)XC=NX6HHHA8C7EwM}(vsP&=p<fp
zmhlv^#<;oh&WW(DX<Ov1hgkEU<EA<3%3JIu&(4(S=H_Nf-MK{KuTSv#(j*}z7*F!G
z3Vqs5mLp%%?@r9z#3`;(c3rLA+}z*>KY{~b3^VZ@F>D+l<DVmGudMj5a>@5%GM{@b
zNL5@~t!(CJOOlGr6^$uCL4duZs=c%e$K)nvCLu_aPO{@taO2}>SOk7vXM6Jq>OE=1
zvD&W*p?@bQ_>&CXE$1tdyCfte&x6u#Z*RF#NFfu)O|6hY4-?_gC+ft6qOW^v(7wR1
zqCLy-^<n$pc(iubpL^|Hk7G;5f*A1T)j#RwT2#w3#wBK4+?%Rgz0>S2jY0aj!gj6T
zoLR`-LF94j{jGXslpE!VL@y<3CJb29qMt(aVT)q@vH)?ff@7sF|K@f{NVL0V{2rzU
zdHb%eYiF+hIDgt<0#De=LjYhvIdx$&QRu^yl~3><D0!cvPgX5QqOycT=?!xQVF4D=
z#0+~huNgLG2m(|O0@Q`PtgNgc{Aj%|Bnw&dF3St;;Pa|TO_=X(e%8A!a%g`arjQ;>
zLQm_FxU<*+d6%mxV5^w?&P&0FaFr*$HCUQu)I1;SC%m(~h%1Qdn9~OWZqTz8URt)1
zZ5!jRCpfccmxW@dJ0DLwyj3?dTg0z7c0&2=Mujv*9G8g%BjZ_BFigo+ea!pdyTSs3
zg1U(dsmecIqee?3KZ#$&P(KgA{zu@ju;sIWmW4F=td`HfLbe}XU0toin9vi2^f5aY
z-**Ld=#w>Rc8$h?RWb3JdcE-4@|gfa82%$znl5X=I@6Mm9Q6qq^p;?X-(~$=;kWsL
z0pi%f%*;&cfO4t4q=weP$?0|`E<n-QdH-P)Z#F8~`4tMZf8hDso%4yQ7IDHjC53uW
zgZj|VFlxlHQ{IsFVZ4Ko@9O_{m;Ziu*%#H~!R`t#63o=VCZQ8ED=YTGh%`ZVu@U5#
zLRqj#U64P*q|R8V!FovxHl_Z;2j)WQ{wwI&lGzAkGVc&Ewg~k(;Nn2ZRFzx0RF$_>
zX?|VGVwt9Mi;Jx`IX#zX@FT$4J=RrUS7?`PRtftQ4Pa8A2dt4`-<`z|{}8LAoqi3Y
znaLiozRRzzJ%dg={OU1md_y-ZF6J_Irw^0*+u&4GUcN8!P~zXvZSGBmBID5$^DekG
z1=*f`9Z(9PZl!L!%TaI21bZxh659%Qmh1tV*!XXm9|StVG8zAu#C(e_FM(>P4Nl*~
z<!*B6v6U!S3E2A0p1W1qMRQdJfD#qdXdrqEWNKq$1Jhi>Wmz#R5ILCH7#x|FmS!y)
z;~vVp5iQ+I=Fa6(w%t&#!*=ouhyrz&_sttoyfHOlQe($Wy`Uzur7;ec0cFN5)7X>_
zQ1Y(`$wHfF3V;Og-Pa^QoSmH9M7?+ui1^fb@HaPh?-g@GHh*W64P9O>T43Ne1PeW%
zF6$(LW|_p4?YbeL53DAdx*QOkD;A3T$`qWaf6^(rs8$K~j%Sg8g^J*eMnvQ9(z3{)
z+tLOD?NhBB!X~~gs;-Lz_`qh5<<VNOe;~FvC{Bg-S8Zh`jWpYUs5FGqRgGXqL1$<;
zL9o*1!Q-al*e4sydmtNW)~5s?$J0&BAZUHZSR7uI3mJY<%SRG0!m+U4HaFMT`-Eom
zehOF7>8;6CtA8uampZ3nVSh9OmfUQyhrm;r_EexK4_6eW1Zc@HSle48N!GXj3n6i4
zT;@G%NJ$e7(o2TH+iGkVz)CB?G?04+@aI9Q@W!BrsPzmqeyBh`(O~@oMdSCawe`+5
z=gB#xd7Y{2jr0(iwtGsxd(Z~MjX1PFV<mA2M0|~qMwr6PuhYF|n77LB;%Eu3{5^Zn
zx~d$MnvD66RS_@WEMbZC0fI)ilJIam_4>C5t^oby872XIU=Kk{O#uCQ)g_Kl<Cs+g
zhO0RotZ^~ECw>-|G-nBfFXY@4B>rw(mJ}J@1gSG6G=R70ci;EdPxPcLM=CG;Zv7#h
zDS7~(YS9G2cU25NBOYS@Wk{c!zGQCN(^nm|w+CT&7*1qURHx03r8nd7Mcj{#t%Ze!
z>trv;cWNx7>_qyZcsx6ZlnAhNNgQ-`cJ@W|HTU|tAMgM=6u-{Nd!5I8&%7Z~0+WE0
zb>W#Yt0ntjD^I87+3ES7Mk$qr#vzT?4ev5+TWTgSgY;a!h-Ivbg!p?MUo;(6Qt^{`
zTdCBQU6J4v$G(ZWpmRY=$9|2&*#mgo&oI~e7;fm>?&2jDqwS!7%ZJmmMOU`na%_w8
zp?!Iu@88UVz#LSoaLfljocBisI}4eK-NclQDEI$2tZ;_1b5G3^GpcA0>)Vc-k}pWV
zhIjw@4rtU!V8nRa$F#WSGz<a)1N%{&PkY%#b{tw6C`V7fZh_~{8AZ3qHhBqs+%nr4
z-?L^$y*HSbmnRSHZzXVWq9hyUbW_n;O60xAaMB>h4#zH6NdZFyh+!VmCs{y1K<D8O
zpQ@^AG?4XZ6%=*F<>lqaJYA=d=fU!b<J<Z=K06?=5|KXpRTB${A^WuUcRQ6`w+>PD
zkKts;??8Foi;u57CJc$njujIN1JXY;dV!dN1vLiM?t{=w{y4)I=xT+UAD;$e-~y3M
zcCQuN3f2sh+urbZu+}MT2S20dvx>4R3nfN?WM6fzZkeTkz5{KR3utY4H4<LskH+b+
z)hu|<-=Vyin2EKiny!r*V2|su*ZL<NcQiIOCeY_Ozlh>L?I6@a`1<xAP{`ajD;0rD
z`yD{<)CMUrCzN)k2tKB0<Hn$1^?T}rckTu4R|R@QN^}HaZ);mX5c(nzTH1`7qW+Y3
zApwCbpRIRCmWv~N(NnZ3WQEf4sV~KWnsF@kXLn)cq4XxW7urT;+i#I>_2pzxHBO(b
zMS#f|KyGItkX{5kfj!%vR4igH^t={7v<gQt)!2-2l-M5v6=>`LM8B^DB3*6yL#}t=
zFc8&DXcEzw_#7KrI`34nf^YREX0SjO4^pP<G16;geSsyy$SukoL2D&(^KZ1P`6rNQ
z_&o9w&p`XwL$+o}7U~BCm!v%VV&3ScB3JTr3=v$BcCxCVwmTn;3d(bggJ^S}^TaON
zz$WK8)12`C`(IHk{2vkXs7*dgr;S1WxmW)tT-HyIyOG?TY3;29?a;Llvz1?ydld88
z-1PKXPb8I}W(QK7M<Xi3zvQzwlE&30LqE}suHuW9+z58wsBi3D)BbYkiFN%zueGr7
zpdYj4;oQ1A2mNhb(esYr>tgu#*h~HPz+vasPU=ZXVS>0%51>X%64c)2OK<Uc-nCBY
zdDJegNrm!~QmqnV!TqBBZWHF-?#9Y<5)cv+-mOEh^dI{5A@yJO_9f0Ep}SWV8T{{U
zF3h6*AN4nXzVq7Hxv0l!q1PU4hKs^mA^ZP?AIG`=vNNKLIW}EN4DzK?kc?c%d~wR)
zw>OgseViGNm*S1F5VK2ae(VJwdJq)^wJpHbBzapo@zcvJhUIL}CUCIjpLcs~_i=!e
ze|u{P`34GTCy66)n&`tCR^C0FoW|VvDZ5|vpy3aj37afe8Sh$&)nahl#VS8H4PCNS
z@8(wvVV}Lu<>DRRLz=zwS<=oet8m5XI#PgfMLiCsq42OEVGWT<s>dGGM7k(NZ79ZF
zL)m@DJCRu4@Ad;eD&-<VZXT(xOZLt?ldq@F(`yM-;xwg;asTEu!+Z}}&RJfwtLcXo
z(f_5n);fCfR$>&f|5ob$OG>43axS)~H6gv+-{p_%r||G|1q{<Tt<*hybE$`aA{*Ic
z2}%ca`-{rIa}kN`kXK-2`5!{mC2O<i5xYor#A(&l^eqF4e|Cq<^NCZJz8Wd&-DG-t
zt5s6~bA{h?k3CB2Nm4ZDNL;8l1Yh&zKYbyq8oo?nMbmBcE;}Gj0iZ*y)CGN*CBp1Y
z27yz+4R@!=yEs<6mB-$~j%K0hcPL3b((VHNTN7k)OT#t~b`a|qK&xNuFCeF8v!DOl
zbAGXBGIz9bN2BQnVt%U;tcMPPb$hg;ool$N4+&<7Hz$Smuo)x&sQDiIOx+kuO-t?P
zo&}y&Zm0TBS!_3-O7U!j%w2zUwo6Ls{_f7rcF?OcJbWWoGLMN4p@P~T7wL<YesqD0
z_WqX5@;QV&l(^++oxSnf+za4v-k1;$u=fag68A}SY2HJYc<?qGZ2+>VpMv{@G3M%}
zL~`x*+sWhWNn*rN+ieI=^OHLKZHMKFNh!BB*NE`&C@B(exnB;h-rrr>T^wEYz&d@7
z-{^$K=9?@HpCFIK57#6ET9H1t=l>*+xJyqZgI1do(@pQHG;e;>ujKn`2J10PfW-!W
zjz9A*;p_G}hW;sj&vISjAGpwU6MM~#Xz@0;&HtKC9rzCS%t_ScoI!5QTO|m!T+qYA
zpBTo4si=cdZ>c1KayC^?MZG1xa8$hGe!UWl7|wof8yzL?f*W&V<J9n)JuVVRwH(xP
z6-T3ABI0vXA<N|vjWbPbuLq-6@Pq?B9yixXb+tEUA@%%yryKW~La=@<@A$I_H#_d9
zU_PZ^UA|8Tr2z`Q`E2wB<2n9(-nLZtH|T0Em@0)g_2N=~{{np+&SV_7_rLY}lVrb}
zKMs4Y_A+Mvlb%x7tE<zPH?G2e#Yzkw(Q3Mq;za(;{8F|&&YmV>XQ;Y~m4s%jv~Zmk
zQ}(>a!3h7YLo4|`qIP5d{HQ=7X=*rUBFf)eWZ(%koeOPy@Azs&u<4x-zs+D_E}wvi
z;S|J~+3e&I^{hI@u{5wZ)lvj48zf&Sxq3}kQw(NO(k8BOJ+>D`A|k7P{`lpQvivR!
zF|V!PuliEHs7c|#Y3CDBuLPa|YK8=NXH#ddCT_*w&|C4=zy3*go3nkvvZTWm;!(W9
zD`K@rp_3B4TT;frtg;k%ua{S*a`qg4>+X8|Z`zYX<@Lpr!P|`W*4uNAyZI{zyX*y0
z-ct&vmQ$fcRN}a}22#+G_OOj!yyc<gaw>Buv~q2*?hlyT&-M$Zy*_0<l1(TK#KW3!
z>odwCucBq+!}#JAEIfK+QQ?fGC@))LHpY`j*gBMrOrEy6P+dF@`{nfP68qzGQS-e#
z&q?m7pH@>?p!TB}0N~hf{S6?Q2&k;9|Mnv(q4NND^YFfIq|SG>#gAVo&0@AU)?eV?
zm0(Q0Wd8nN4(7_bZL;#)8;CjXxZ9lunyo!=4Jh&mnh*ImTQldn`>A}Mk*_1sIruDM
zTf+FvOBw@{%WOvETjxR-G;r|fZ*~?^`1#q<*uqVi?^FWZU;l~$PwE@nfxF~ML%XCt
z2v`)b;k4C#C*AO*P}y>Z+`Y#88!9ELB-C!OIL;)lAID0atPH93dCpyaY}Jm_vuvxs
zN6w!<N?fJZ<Nbf@)<-fyMbrkKtZBqe9{InBJMr7&HWfdLqvy*w;yn1}6^IJGqcC@Z
zG9mjTqn$ju+S;<3uYCTgBaW|F%tSm6qhy;OTtD7H(?1JKxuvy>2nMl2yN}iMn09Q!
zRV!Q|X!8>em#r!f0jF1NI!3_JmDF+HLWo+3)NfAbb0ZQTIp#0_#VR4%i1GmjO&ij9
z<_sCoa#Jj^hN*BgQ$Dg-5%=8G^Uq3Tc#{r%AM&xLFrOx27S9}yBYi^~;fQuJF0)mf
zn<2#C3vTUVb(DML>R;sb=5zpo-J}sp2F3=5$}RPy?zqiM?4(BC`f~Ta^ngNQAHaxl
zgj3#)k<<R{DRvOgI0$keGT9205d*6l?2{Iu$N4lZX8BcXqRJWnT$|K6Sz36wiY}$I
z7xrFDXz)r|cD(>Oex<cc#{TUk>(K=2249<R1H8rbgg9<>^_&`BF?UTF^Z>r|@j(sY
z*)y!Dkl;7_KkWn^^he;j#o`m(Wi}U4hIt)q53o#+)HhM{q30|vceJT{i$e=1G-ZD?
zHe~++;HD=wvqd!WZlFFZ>GuEKhAva9QrswqnUn|9=UvS~!QIbohE<t8{S@B)_{rSy
z;8$aNKg5sGHzXPS<xaL?R{W`ZXO~YtccbeDa8d{@(9l;SU318nj;vNEeZ3et4v@%)
z700Oom$%pS0RLA*Z!IRx`$BHSe9BgT2}|Y_YXLL(h5ay{wyeTgz5bOy=AhYRb*Ein
z>^arg;l(EHZ9n&0yeuMQh4G(K=j$xcFn06Slh)XN?x7p?$DFz%C)=rQ5FG61>-o{z
zFWD7Kdv!cS&@MQ4-AQ>9sc89zwUw~x>wGe=#+<6WEb+HG+)!r<&qNf%baqkafQ<eK
z#$-;%wYANfKWq=*;S;3vx%5BW{M(X!I(Y1dV*p^u^34=Tw3=ETjXB5TB4%S(QuB_e
zXYLg2k?C9?XE*<5tlFr6CCC}y9Ew%c@@Zfhrj&4{uW-TX%hQ+&x4u#*sSj7)px)6F
zrRw*V!y|o64ky|yPvU6w7w{O1LI6vC)XSLbUhku@J1)X*V7gmN;^*DCvTWFU>VEU)
z?mY=eBUZf$pt|tAHAGs)YM8d%Ram;=2JTz7MffCVe<}v`rslMLzPE#$m3Ih~Bjur{
zGbOQHSIM3b6MIj>pWE+5#vz7Palu_x2>S%$r}B7Rcgb--4I=~V5w=*r;upmD_qYf>
z3<E)S<*UL0kmt%)e{)*eNZ((%&pa>ZHr6Eu_dp1lX*9z<wSu5bE?-}`8t3<4?a>5p
zlTB1J7f^_kR!919)ecPNfPlI6dDMi=qlb!nEL`gwY-pinNC?Xx4}}g<P`Q)pdFK1!
zy|R4qtQ@r*TF$nRF{&d+9<UIlKP1SZtb4qrohIV=y4u542n)LK=k~z)@81Am5&*^y
z{}NjKYoPt$aAl(?wdN%QiWCC{N!;i5tqBn|*B-Zav!R8|Lt!>T!qhK(Mx)X;uE%3Z
zf4@31_C;)yap`NA#qT?&W!x}N`sH;_!e90plaqLt{!U|$G&-hWLHwOxu8XmV(;Fz(
z6R3Qq8%@q;EezdF?)F&x-C2q+`SBSjla=fN2^qJ+0cj@bSN<O^RCOh>1m97>WJ_#W
zQ)yrhXK)80Q1HW*R*`7Il)+*_IwmQhrWeQ&mmwETqxTU@OZ~_nJF{nUgY$fc<wp@w
zaYw8N)(v{7RgkS>Su1}zJAqK+uu*IIdOrgORl%?EzB}yLSOFb*gRlH>)xh5V;r4ak
zM|lm=`A9XGrY&6YXJ)N(s@U34+<30!w+k_VjaZK;z`ne`-wzGV@gLhiv_V9wrsx=I
z6E3xdV%1m~Dij^Qs~}!y3XduV*EV#QJG55P-eqNYO>Wt)gr6bV7$bd%);|&i-D4ab
zFYN#$tCyC&b#AlDOY<EARmjd)vxcfPn1flwEJRd(j`_qh$8V)%iGV}+Mq8czpuA&%
ze`751Utl&F1?)wJF!$?s!DlCy4GSAkMS81Z@xd>(4z4_>i5&w5C)(w3+)zXbkcV7m
z6FLnIeDLk*^efi%Uo{tx0SJb7pVu8R=&og^Lr8Iu@|*hS&#+XD!Dbt{zxmO)puTb0
z5zxT^W|i=bEV>Q2sx$_?<YV^-YQ;${S_`XJ)t0drJk;~$N1SwVe7ZCk3yVVK=vo?e
zFSJRr^z{<ujU4}2wXa~RrD__@q<cM$Io9TzpR`qe4=$`?_-l&+ZX9IG2ruN%RS-2_
zNzW=UHyvHFET!wb5l{EclW*lCBqaAoP<wNCW}s@2yNN<y@7OAQsp&8k#7+3o9I{I~
zHRhA&jPmKr*P~|#4Htcp!ZvEd!;N8lm`Q5I%kfP3V>)<Gni$NbWb>}%YaAYdtWjba
zts&^6%yHrJ*t?$6*e+7qt4{Tl4WZ)boAQ+|r2uZhxu-`~3~z{I%wVdXf{4g(_rhS^
zs;!i)f@cm!Z6X`n9v%Z{!aQ+DnwS`-u%NyOBhC&peH0vqG;X5_#lGL6`;!&IchH$y
z#0fjsJu_+Ev)s9ZtNV1dAw`j_f{3{rHU^#zqLh6ax}acv^<ohfZ0#qOs+uP-C+nPv
z7uIqz|K}{g=!R}wQ97026X?>lPvwYvh)7an{m;f>MBU5Y&^wF;6$C0r70QaPj6EA_
zfP&837iH~f7p|`dilDZSB2A)t?xIvPlh4W1?{~V}AjEx1Tbf^5R`v6b(IWpCyXzlY
z1oq>P-e22HdtZ(1nK0AScXd-d@Id4LTJiZRBB^J5<Jpp!aUGAQSf3BG&lUcF%M;cx
zRPK8G4kP}Rgw@`W6rRvxXUZgjFJ*oPk@wkr67b7`HRSHq{lbZdhHsM1xzHYnd~`>4
zxb~xGtG#=#mQM1+?XR&j)9-obLw*{7B6Ks2rfAh@bur6LN;4bJh}`rWE3#b7E70B8
z5bI9E7@DbDy*bbRmT)hm(dgaH=dxBi*uo=es?+{mc~>989ClKTlacoobkt}+E6$P4
z;gluBt}MXkY2yLvoZmV*V}$%zW~R~lf;0|*TQlg^EmZVe-Pik{9TxR8zP2&33c`Kz
z$2Ee4v%L>{_oAR&=F@rqBI^D)Z8@4RrnKD9j~45r07!IRL{6VvBoT+&B;Ibd@r!3?
zv|D}b_q5*GP-@|}=P1ntkMjO7kyn&UC2%pI_%dajN95os>KspnQz(f4@3IROe4i^O
zoQwD5hYxVmSpvBnV?K)7IF)!z8ufUXZ0m{B2OQVJ8>Ol-T~J0UdBk86Z)12%910~o
zW;#$+ZdojUm7ekg>?4eW#y_~_pGrUhjkXP<SeE4jMzQrczN(a9hM6t&DKIE{DNc8<
zsCZ~|^625B$N6epne!SwK)=57a{S?cbzjsgEP=R96D6Dr8BetD=81V5zsBRg+A73(
z_$&QWu=~T^dFKQE|MHh%X3PhB;uar*Ihan%zMC(+F87|GSlLKWUsB#0Hq#pZ^5yp(
zfIb+;1feaB#YWH%bA^eolJj87q|ZEgF1X|C11bR-p8xJz^n>wi&_nRPZ?!4-G*PMf
zdxj@xk11-a7S#21OmXpLX6xj-g5|M3-<`EyN<okcC;xyc%6oEo7l@uDs?ZvKsC$B%
ztyPRkNQeS733<xH$HIsd>K`p)9^V<5S<q|-V-m9zbV9CFh31FWZ1m|@2U=106HQ9Z
zM<FM=GHma)x7kK*BR^1anHnSJI(y@rH#k3>`b9@)j<;Zd<fqrNpP%6AtVau%`5LzH
zb5l@3)HZ_8r87h9Mey&mJu$x7yEepUuw1-qFHS69cUN~nWKFDd?F+8vs<3Y!aTA*&
zH)dAzuT3P9Sle5R>=#N{7gQz-CE9IWsM|%|p(P@9SOb_Z2K_z$G2TSHx=&h-xf{j`
zR2;_#gW0t0ycA#FiReB}9<?4%+^NjY@t?)J2M5AH6Q3KEsOHFE4CT>Ep8UZQiC&om
zGZEW57mIJ-=MxO%#D{WIx%qU@MZl1b3w@)*L(^)E4785;#YU@jA(7?N36=G<?p8=t
zGboT4afO_t7lu6LA#Io3$lA_Ayu$Rc;eJ>Fhe`Q2%&v>385b}skfE#<`t06{pNCEN
zntbj00^8&n^`mHX{dtPqwd_^FYOm(;uFo$!qoptw+-uR{S-7E^`Ap4Ft1tZ}u@wQD
z{+n-@Mtjn+?jbt+-gD`GJl?YFz+=)eplxJ7?scY5E&_Avq4!8~f3SD)JTL@cpljl^
z;j3pZ!XJG!QkGpcjlNY!$3jd^Fp8CJTF8zG`DS0!-ad%y`JIjGTx3E12*b7vKQT%m
zad=Fha%Cieq97WN;2?ZCWq+h)*D9cs32dmgiUN`<>X?KM!UOWVgY{%yf+q24Sk*@7
z$G2pX(!OVfw{qZE#HzKsIuo-CO9d6(nwW9*GZ|g|1ksOG74;Dpsv+CN^-F$n><vbK
zcuJQ27vtZSn^vMNGv%G4egN`fdPQMJW~f?)y6P8tI@tQ}znV#<7djb(4%7yrOUrtO
zS8Ys?yc6hlwNujh5@3OEzC&uaA3?oI2C#2w!V$kp_>6=D2|=f7mvh8^lPJ^5z;1@A
zmTjT{-8H9Xlz|6?Mo-FJ11ZOGp|d22eB$g=!*&o;qd2s@(sA-V>|L!W*|FVB<Lv?<
z1&~njvr`7q35~cZxEj=N>&-3R2U$C3R_IoJ8^bRpT6n*V>oC2t+CTx6wDo-xK~qPq
zkGmw|^1JP&-Le)zyC)vZaP{STwA>8Nz6Wv*)qm4eUato7dG94bT%Jh7JqrK?yApcf
zvMUeT6;RFCos;sJ+!Z|(0cA_>skf*v(|tkV!uB{Xq0I4>2Duie8zX92`xeIG2>k^n
zjiYz={T!;BOvLL|&`?4xBpFqtv!X#zM!6~{*1)RU$`e*%NhszkNIffjMe(JZjQoz@
zp?uRaha#ttIULg^ina@&8I<Fw=#^J%bpI($=^qZT%emH|Y_YQL_@>4+$mHC=<|V|W
z>04C{ZG7ua3#1#pPzF80Jr5tgP4;L<!dr-NOrimnLFJoPy1RN_2`IFeWEecJZl5W&
z6w^B=jq9E|uy`PMyR*W1vPd0>DdK4TWu0GHa;c)6sR?N<boSRM84zkzf9E#+A2hR$
zw8*b6!9J?6_tvT`)VfuaYz7%zCIy3YfAV&V{cyo49r>;#PJ(3#3H<~VIJp0n{t~^b
zDdO>@66@0;hmA)m&!^5e>p)<lejRcjh*?*_XG?AyZ+R*lK>b?Fg`FCdEnUnd*I&w;
z5Iw%<)dWx`1uI5yv1ckQ60L&2tLp|YI@=2Q?Nf!SJ6~X^-BLPi*`4q+gDt^^dDm@<
zafC#E%a&m2%#bJXQuqT;b>Au|rrNQP3OQ&=A8R*dPB`@Ecb;A`7bV8gKA|WQG#^uU
zG!+CAh0^fPj2re1VzFl<tCxYA1qAzuDBa2S{nEoA_pdx|UMKI#II&Hh)3A5KFG^jB
zWRYXo8P{HRi$d-9*|>&o)vy>@8E7&m?*EqhIPKqwp8&c^d)fp#idPPv^+1RCNI@vl
zYJ?21EyE`vI?N#r;x=70)5QT;(aQD2xyGm~l*`=t)(KGOKwK<XJR$k#>6S+}cd@^-
z@E*C~L^ckF!~P8G<2HPZoFN+1d91)REzo%(spp|~EXYGhC@Ps+Hi@>+?Nnx4Xl3!U
zw=0M_yP+3iGf>Dre}W>`fH+~LiqjNq!7!y1sq)tLpX%-EzkC3D^5+%K-l+qiPy)Tc
zroC{i`?jdst332N5W;zHHLu8>e1}rhKR2b9Nsc6CD!{`pOMQ+zIaeIl1oXhmt6#||
znH>X6n-prwu>NuVl=(*%7H%%fK3Fj4)vZBmDJT&+{;JWE=aJ20=b}3&pH!N1&^lnF
z%H|fSLj%u!?Zvr3sN1VPs+`^Zo^nR1fz%Ktze*MuDZss0Ed!i>*>UpnJ(Ha2>YO@2
zIH^^T-?`l$WpI&NUXAS3S^b_uEY1k7T*vi(!>zCxO2Mkdx!%s%c?N0*t-Vek^m5jy
zCBY&6T;e;ogd$vb&^F~f*IzSHE4aII*eX2x55!pc(|y@`JQndzbMZ3Ng%sM28@|Wc
zGP-;Tu_^&wp%6zQH+9c*>b}@+<JPJFcAE!S9he(xbf}+WLPcRtcw+-@D)liIp0ErJ
z^8?yT@fW_o&dK7t!=ufDg{uVd`yt_an6CokzDM0xAgq|>FF}i-T3gS&k-mr=fU>+M
z_VVnWg}D%EUspYtI}>T`xHjR~o3VgMc~l4eIcd*2eOqDGr3Hn&Z2>bhVsIwRaj)=?
zXA7nP8nB2<oT77oM06^s$_2S^bSir_hs6v=UPmZce(&7pm_t|RUT_$xZvHs|xMQUQ
z`-QCBf>6e-@8(~nOY-~bJ}-e@VXV!E1tmbJfUx-Fx{*N^W8Y|%E41R)6Ms1}JjT1^
zdoRd%IY3fc;`_P_KPF{~MyKX7CgY~IWm+|tr*B))IT<2=IZe?2;M0s=%nzg9YMs@|
zy=`1C`zrPaY~csAj@od$j*UG^vQM1%bk!@}YLb2@6#C{VU@81aN?XUWf1*O<YPxkA
zYo+BhRQj5su6y5dVa@lH`rz~CEezATO$2j-L-9+0)91tLZ%oRg8o0ygW%ZfSwJ@D;
zDk7`;OFt~poevaazwpHs5c~`{lo{njzCk^6(?xjP=MA9UYA0CA=^i5Sbk?y5|M2LC
zs-a40zb?87m#L1ryN9_;C{xsWv4@Arma`?eNBz7jyd{Q?fl-?-fxc;lnBZg5Kd-iF
z@(Jf|ctK)|60T}5nYdXnb#h>Yqnp@!SlPFQ>ybn>#SOuYI{4C!_X5hA0`gkp?lnQm
z?3lJX{ec9Y9*I|tklxP#O|-<PstlPAUZAwg;jVt)!n7H}sPy}Ex=VTmwx#<^wJQv5
zYBm@GZ^~0POcx;TbOv(ic%v)qNiF||s)vWuk>InqRRKwxjZrm&PB@mnwxb673pJj~
z-leZ*Yu2A1&Z%FW*8fi&Knt2-Pt^8gIBZbK(DD&6MT>jrk6pk9rqEFrKik83b7W?%
zJt=zs$9z8kYd*r6L-&S!Dx%9rlxh2aR{=7XBij`4Mw+_2)fqh?8Bxhq_jfcgS%yv1
z`o*`6#G0VBIEkbzz-dJDb)ZOSjb(pMdQOpYPaZ9&gFncw=y*u!{)!ooy+#11N|WG=
z+q&3C(2E>yVMaEQh|DS7_uu!Iw-TQ_7c%FR9uh1ueZ;a<&|stnT3m~Femv^0<7>^<
zw_+zR$P>CNDY8+^x63#dIP6S0iB$xM%-dJq*|SB+na1n8)225ho&T5HQQuTEZQk_z
zo2TVe=uiG&8BbO_Ovdi@#3SVj9~SYDG{xOBxmT!BuU=Y?^m$}{Tn+)Y#Kxb3QjP6i
zHz=s54xqIr#5XFW{D_Ty+3v-EX+HExpg7ZkbdeE_8=5=P7Z*N@TBE*(R|zb+aHkHE
z+{)kUYlgR0XBQ$HG&xUj9MiZ=Mx;x$kj@Ema8Lc&BsvOm4i1&}jh5bV;n!4~Kv0Ov
zQ2Ks@I|ktn%@}u-d<<{p?Xd_&BY+ta|Hv&CK2Th}x`|R+(~r^)PR4xpFJ<`ghfn2V
zJ3lR4(L80%@ZOl;W}Z6Q+@}o)x3uph#nCBO4p9!MypK#LOuMO;KObOGO>mX4P*I6<
zoAun1)?Sh)gm<r5;(s+J9YPJA2+JRcxTK7y(rsevHgJamKSVa~I1#i?ZXBJSDL&9r
z`9PH?iBFSHUQvYW;ooLYm}mG_(^rACMju=7q51ec7$<1MHYJjj<pGuegX_<t=(-X+
zRdY;O(`ik$m)YjMotdDfFqtU*{PE0MhLoAV7fZx6K4H>#<w+Wz?EGf;LSSxCb(}x(
z9uM@=`h-pmoM!Huz*6{Ht6JXi`2VuF%VP9Ym+Tmy4t2<w^35)=mGwI2d$`E)-M6CR
zN!p`#H;NpOuOk&-S`ztqA{<IKIh@Ke$T_L$n26yKNzXR*d%nRs=X&xe)2=}@UBC>B
z5F5mWv#2YQfUAiJ;!c@5DEvQ6qzZ}IWm#U^$1KXJAlsYy_3nL{JgF*4q&8M5nP~@#
zJ8rtKPVgf_@=w6OL#>|;vJcuk#Cam5cR}@qiW@i>6H~waw=-|dY*sz(zj0XE%;7Y}
z<;be)7r#`Kmzk{i#rZqxe90yQWmL%*DfNC__$2@*w|`q%(^GR2(vNdm#0pmSbS#&4
z>Ur5@(VCN@MMIGfn`Re*70O(PbiYF{fdIf6%re4KE+^LN_N;SRmT@e8O;l7D$7v)m
zuGHIG*Zh>yUiMNt{f}{1#XFfOAJs(J=g~ggyYtyAbDTvxk-#5FP!$#+?Doe}A(l2_
zgv&Xed_Wa5NRME9Pk`(%rkt@DXdJiE0LrGutMvELS;v4ova8^M{qK=a92D3U)-tFz
z1+F*6KHrx^0y-Jp3S8L_gkBd*v|A#{+Na&$WPIVWd+Bt}K7wy%1GPC>zLzv{uI>Xi
z_AUf|xG5MKBySCB3$h||Fu$o-6*k})rekrBVY&3%c*dE&ToZ9@_=*j6=5pdv(gn0l
zyZIoME`InCV5g)V-u;~1E6)}TMz`=o_JfIn#K|w_IMLmD0}%w#Q@=Lev~2{GZK+*Q
z04u0lr?#G@yT!jYM1q`-N&ql#K3hqg94fobgr<ofw|>&HVAJ>_XzQ6ja~e^p+^Kd<
z^Wu*`RZAt5n9<}51~c|I)75ETsVCkJ4|^5{5`MxX2e1>2$yp)vquOV@B$c+y6SJr(
z$!hJqGVcn&{CNjO7Qz#aROV~*$PC8Gn6CZjyvINXlDjJ#3X&ZM%+wAXaMKgUVXrNB
zdRg>iKxBaPJwX=3+@&Jcmp{o@>*~@O8L}Q}*?>3zs+KGt)w!BpdT5+wR%aCWkT){g
zl8zM6fR_rBeg60=pa){J-wzN@YDG6U*ZtdRXcCkhq8h2oQyk#3Jg4j;xojg2L|WVZ
zxe4z;*W;af&oQ09s9WDHmrCk+wLD2WBuLC#|AXF-Onh9rlOOGCY*LDV0o}Co{o}|m
zXbxMH^N#1uYvMt^bbEJu)IiVk@6B>e>pu(%VlVP4K>tqYfu%Nz#|`Yp!TV75>RZDo
zV0Y2Mm%VM4B>dZnP!|3!cp8T5R+zns=TbnJ-dX=CKUeBZ=MVVo_u;47hCsKxQnwfR
zUf*;9p`JGzTY&)pg_h)Qb1ZePY<$xZbj%tlr!uwbwz!Cz88OMWoPS+P#7OT};AzzU
z=$t4CGw5R)UH(AHbFgRFAlRU}{1*57x5EIs+ag1i;I54^pJ()|U@tZ3xc4;~EA;84
zg`?4Xq4Kq6^J&HIYb@$a_v^^}U=qO=B}w}xgC0r0`u0ANzh)_tY96eiviEnKlKUr&
z>ZP>sZkdv&gn!Xrqw1hjzpiB-^YX$ee9&Or^f#x&-iYo%;@*yd>hsBM<|=eXL-BxD
z<$Br_k~YBImX>X|t^{g8^X>RAbml<PM`3OD3&_FP+*?IA4l1aK|J$ApNW1S}Aj^Pz
zr<iKDc)Rh&+4mkyM8;)9B~$5(+Cu4_83pv$Qevy_d>!UymcYtRz%X^y$rQ?z%;EH%
zO(5m^n|=#G+E$mnC!XI(fnY0)t_|ycZicymsuO0y<q%2iqO*_)O^*8b>Pqo-0>Xa?
z;SDxT-uKKf>c;y&uh3K{(;=@2bo?EWTi95buN)#DV6}AV&JqC_){ew!T8RYl<~Ey9
z{3(EKc$?+1`f#jD9)ypv<Y_fhTYoV4MQmM-BR0KEG+X?tm;I~9ljO!OyY@4UNmrD>
zmqhSQa(7NWCo9MY^<}B4)x4YEpl|g#l60Kd4Xf87iD`|B#K&q5tgGdo2so8pv>F)6
z4F^BK5j`Hx2i(9bkHap>y~>2ca(JvfJYnCelZ(1t3kzKg#H*iW|2}Z7pupjx*B;fK
zXLZ>}wTGnTS`21T%ihGI(`iz#0W0AHYKU|AkG0JGVv~?4EE4YyJzzfCe){=~Q$|GO
z{Amj03Lgxq0CvYQP=hm2^h`62LT|`3<O45D#71~k$rIy5@6RecIH>COXl}cYpI>Dq
zi}FGMZVG0o-32K}I80MeRMFq_vuC7oL{k#e2h_#MHW=T;KTSp}3&WE4eaS+@#xp;E
zrw9`kowM#{zPkA@|K8i~OOmvcMx;kJ**{?{zK&94{*(hord7Yd^x*-p9F~p1<5a7=
zTa@e%kS#G**ub&1+HDJYR~CV1UqIk``0eA@xA+wgZ0`I+376=hvf1)lLO8|h%pyMT
zR5$UGg`zIh`Aqi5P#wUc!d!tYR=HKnK{bEZ1hPF>5{oIJXRcG3Xgs7;(s1goZSkBO
zoawC-1rEjy_ng*_BdrVd#IKIR=z`j2DpRn!lgNh+4|uXOnzR4&j9xMGl6e0p5$SX}
z`e!J_VV9HlrXq_HUGinop@Q*rJ-q7xv^u>A!R*4P$#={t%t79|pMjv|-NJg7+YJGw
zlDPMdlv+Y5yA7l*%fx5<zbIT-E_fw&(W4sFN1|M*4~WKPKr;qLMI6loZR=t8^9g_?
z8Gy-uj_FXY99c#8J4@QyZz>;cAT7lf2R3L*pMaUpPhf}mUpb*QlF<=)7&P+84C#96
z$(y-5hNqr{^fBl_k7<v9K_6FXg-<;zg}Ffi!OP(1&RaNjGX^fz{Yuz$s16-R;SV>b
z0^+k>d)Drs&nnG<iNMsTVY5U!A2An;p7PLw{{5+tquIL6{o$n+T*(Vwa|vlUukq9q
zKs&6td~ekpKdp#$;66A7#h`v72p;aKjNc64o*?*@E9(FH%QSvsfIK6y&b^wAzx-;@
zn}q3bYbqwDekRP9dVkXNr!eR1-|T8mZ%m<fd^M4-M-PXF$J;?=wqO9mVkKE+a+~+G
zJTe`ed$8**h^kM+N$$9x7k4^Y^*!;=e-zilG<x!S=>|BHhV}+2C6a9@^a`)RFfX17
za23I?Zzb(%`y*hqEVUZnBg+Eid-?&50F3-9oizRJoJ~Wl_(hSm)n1O)tGg6Gft#o;
zyW9u=wX(s=S@T01Dc3nR;^Dcec$g?Y;!zX348$ln79$AnicAORbU0MU&&fXjCnG_-
zS3ql6T}_mJ#|&m_z<p1p0;|Jj(k0y>VG;i6VTeDd;rko?BTbucfb!L^Du2BDr^0p|
zw?GHE4>1lBjZVB=VO?cg5-R}$ZyGAq->Kf^4-6>FYH)YxzOt_FGCw1<ZN{FwPJ2v_
zK_U}&61i;`LvZRwV6nT4M*0Mt48m#RTLw-fm=ySQ^r(K{Ql^+QO0vkfvfaNVD&I@p
zHT!VSLYCU<5^8%~bT~s)`0f)KV*ZC;T!q;Qe^Xw%8LHdfwf<Kk;Wb|69WJ<Np7B7_
zs%4i_vFCE%_c}@Dh9%$X`cSUOXP)0}D0Y3K`UI|OA;*9+Q8Qj;E%U9~5sl1LhVG1V
zrcp9)7zC8h&Y?--L&6;&4=zsg+(dQft0zrF<O=sDsUBZ$Z%dNO8F|1*z<q5X&q6EB
zP~JmEiNUc6?y{M(sMH{69dJRX@tHV(Mb*csOiBfh8>z>ngKJij+bZcC^d?Xm3==W^
zB?utE<h|zndaJPc_tFR$v$UIb_obOGh<@gP<ty}9KA^-TC5OI1Tl7#JG<FFiKXzqy
z@WqfsaoEV-Jvot!#vtV&OMyRI7p@*RI-P0IrMZhkS<(aFhpBtpH9>_`+|3r2T3`~O
zv}tcz)08@~(L2Ik%F98^Ky!W~EyeW14miTzd?wEA2c#M)tPKr<rVTh%;m)AbdrCp>
z$IV4Y;~krQ2p*wGK6T{pp7jkPlLmN$OUf+pT)s0JMJ=1eYO^|ILc1<WfwBcmY?mwu
zh<&iZ5gx5iAE*X1h*ysiC{v$E*+P0a@M;q_Z=deY=U<X!0}<m2TRi3C3As_#8z^I-
z9;H)aeOLy?@y`isN;oZBzaIg+_1|0C8NQH*IGhk}`&W-VbeZE^t(U%#*I;p*+pB(T
zuIF|=i6#k?(y$DdthdyP(8V+WgFN7lDe6#r3~%E_-C(DdA%=$&{;^8}vVww&VvKUf
zMSIl*j)qn87_7T%&||@3KE7H^=K7dE<!!R2*aftsJ+S80_9)?gLA{@Wh&j<gH_1jz
zD0FZwN~;1>@Il3vF93%J0Dg*IYtmzYvyI<3#&r(>>SajO#`F%!^jr!~&9zs1-Dc)V
zgoi5{%z#6TLU;H%ICP+}stty7sTfycNjQf`<eW(#;oTMg7vYI|Bh;ONdCUyVM>u3$
z_Qm-dcU4}<LsuQIh5gq2cbc$8reaRY{myhe5k^ZCJiJK9HEhc-f0FPS6DrV|6Kt%H
z82Qh9to`;a`S^va)`&Pzu+fy@j3N(FD2eEB34$%-D~R9nM3yFz8kky^&YK`_hvVmy
zm<)azv3Z^$Z{BS(d3t(o>v=Y8ja{4+y1!ubT5i73KJr}N?21BZHg0Zi9n!7+;!E~q
z1cGg9Db8SL>e(V$U!rWI#;!u6UMSt^C!2YQtS;L$ekh9$S<;`JBabKcmmU#db)Eey
zhugbG)`|XS?ePIQXSUh9>d81>VLOvidu}Ld(5gXhq3&XQwP8G!LW8$VXz$VHaYzr;
zTCR-CK>z98@Lb1q#B=q(MH_{touNI^=-fX)E+TEG?d0tBU;jv5@0t^=Q+%y%>o{6l
z^Q&;I_#6UJtdJkxn;l=Qde*i7cSLR-hmV<#xqhoHXE4Lm!y|ay<kI694}ppr^qa!@
zCgS@x77bUnUS8TtP8bS`Y%%A+a6|_Q&Sfm44=I~d_DDmtds7r{0x2hkW#;>gm)r#;
zk$nj^{z*}iEV+7M!K({$Sdi{_(W+)i)u!=OP><pFd?caQEZ&4Xq8YrU(t;fd%qSd*
zh}-Z(Zxj`rXjK@~6$0&{lt7h!6`P2J#ZeI#j{SJN@;YYB_dT_Q@dU%hLp<))wzZe<
zNey83N{V_}20yCuNSR}u`Q=_qy@rlT*q^JVhApE&eriIG*W)jegTrXEbW09~Ey;N{
zMLYk#zp(1Xr?Io<(B|<-w<I@15AvE2<WBaOgtvDrqjIJiE*XfxZ4;4L9zG^NaNICk
zc7(_IHuMZfJz9j%lkfh|S%Cati;<_lBTF{iqXyGVzq2DsUh59?)^3#OR_w<b)*kYe
zzd?gork+reD!xr1YVU$ss0Ke7Tl1xQ%=6YqMu9ZbG)vt2-{tM>Hx%;~!G#8m2}wFu
zIwk&I*~=jnW=^@wXM-ojEoCp5d=&Qnvc;>%7FAy0+%Npad(zK3@kqU!c;!s~DiI%|
zUlaz%+JZv!ZKa`*AXl)>I%U)Jg&Ohp5$+y?92D7#X4(<&FAsRLEv^vubLXsJZ$D>F
z%)e%+mrB&(P|^*R0a?eq!6DbsgE%Z~Dbvyoy`dg0abvt<5OlhJUmIuflkPX}KYn>b
z@fzv-aQC)Btu>o9e-Disj_M$F9Uwt?6E4~6@@L9v3`(I-TW>9842}+Dqzw%<63XS4
z*G&Iz_=0Uiy}z)Dq_4u)$AS7I9!hLD7oI(Bd>4i0ad~dnF|WC}CaZrkw0nuhPZxNq
z-hIQT?B2H$m4v|QKF!jyc~1QMw&whnv^RedW^$|=^%M)DSeWrEFy5n(@xnib%Tyze
zN-Ej58xPsfF>Gh`H8@O${5WS~@e&1;(PxaZX3m_2g@K=9+VL+?6p}f)^qwspi}5Xe
zVJstI7bq9o#MLP-|2xp@TYoIlIQ$OsafvJ!q*YOX(hnRgYp&YfxSGY0nT@N|AbiMY
zB3L?wrKhFC$T2dpfJ2IBggvPGO_ay)O{*eFu}PV)#%F}3&Zaw7#t^<#!7UHxNqBO8
z%rFyfpYG$M>?Kd>cP>#L3mHV2qRl*Zg%{u7e|7w1q4YUg@c@;ffDLD>m!Dm*k#94S
zCpVUT>a2+(U24n35)xEh+u~ChwMXUc-C6x&fFpkugAXC?#<bZN=~lmos425+Np?l)
z)_|qAGEc+4|0(%F+RrT^=EVA$HLBX-UEE;0QM`D`B$m~xI_!p%_K1hi`vW?+3o1%>
zF78I+W>Y;=&#Itm!cO_v)U|GB0}3R{pxv><ZTBYrh{?{-PO&eK)CVMQ!2MQn6lu8b
zNk0_R<}5a|-z{~Qz{iuewsW||CBK=6x5xH#4cqzoMBoXPi<z;L>M=gtCrR2C|LQp~
z$=hW4_9-t$)JLTZ5vc%qUAKMWY|A?XXC29Jf{SIReBuykis_2qnnO2b-|MyBXw|GA
zze*jZB<B|XYrDP@k=t&jWI=xB8s7xbdgFMU&vX-r_7IWrx&TA)f}si0ji(*q{_l{V
zEy0~c#=y6DLeO7|cbe`e3bv^^p7PPPVRQA-6fOpoD{1uXJ%zC8%70-!lpjxKy2{sD
zneb%Rl@$U-U^gC*L-H|3#X~^1)8BYoXz-Aa3u0GRX%`xG(?XQXXB*&2<JC!5{P^Rw
zp^2XB&O!WyKvC@(IkWHpK{ay_@6mI4+Dwygk!sx9aAB7RsrEhMMV)zfdiZC&aAJtL
z?RHvn-`{P3azbHB<DdO;-24pd>yD-v%RLp3P(?(y(+0tDGR6xgJ9!^P+Dz?{>@AF+
zVXcAQJs`4i?gF#IdSzEepf+2p{m}UFt$B!=;7Vx*am4_HbgY(n@sGLL^LJZo0#;GW
zS5P4;TH8*=ah`!Wx7+0)PHEs_E?12pVI0{{jLtHH(ng~by<)L2$59S-G_=pA6vA1Y
z#bHeA%35_I3Lt|L+Upd$U&|ZnCzOwSCMvBi^l_(_+u4t6ud(rwVw)~K20<t)FCH10
zY0F)FWR%G|DPHVJc^8j81%bqWU#GnOv{qJ_^gZHz&|s>;j;BsgKDh8QMU2uBg+y6R
zZN`S3Ib@_gEl;dRoDF~$8!lRdw?(}lL61q!H@bq@Y|S5|`BeM_Cs<Yk?)DCsMkc<L
zwV$oX;??1-Zc!emQS_yT#$T_O;*9WRe{Q6|t4jMM3xQ}kj!!cBW-+dxQ=52*;cG}!
zC>|xTOCh@j$2`c9$@We46Mc0M6*riZ0b_OmSD{XP?-5#qgT)V2$*tGs(r}x9m7+`y
z9u}cT?{7Axim8;$^lYxr488gcvM|HH(ErB$uBhr7Qzl-lT*aQ?Tw8<espBrH+;k>S
zCx!e3t=js}%U*apKnLdkkG-!9i>m$l9ZLR+!XqIdrKEI7w@MAEbfXMN3?bbhq9QQV
z&@EEZf()G^jUYpJcXtdh=jM6e_qxu<^Wl6rAI|>bT(W2Oy4Stpx7OZ!{UW9ASTy{K
zGAn$b#~ScTTIB$1yqQu6Qf4#r&Hjk>@mlJzv#|a$EvtSmhJ&nYewiD$yhdiF12;Y9
zZ}94ma`P{3UkT7@4Ok*RHOwX<t(U!XvnswOZID88Up~qgDLrx{m`oq7HR3(tlY}(O
zVL<-w@^_q@M^E6Y@e+Aa{lh0lv3ybC4E^LBq?pWhxIEEO0l>hG1_U-mc%lkBSahJ8
zP9-<K${`|ai$?{Gm>uwPQK>L@@<RVrI)I)8a8P+a3;)A#EFhgK-uIzdG!dAaj6|XB
z-jW!R#dOEeScT4J3Z)MP4dnHQqG~ZkX`hS>M}{=b)GW(9ikrCMMX`E;G9Tb?*o*HT
z3r1bjoHI2L%f{=w^f1=Eoox0z!85zNOaO&LvV>5~*&3-jIc@VFvJU?Pbz#B4fvt;}
zxUfmxN0VDUf1UafHzK~DbGW;0x$CE%GJ4s0JIvN@M(!IWL_j|YJIj*B4XptwR-jPi
z-E+%x9FxlLj5f4thi_`mWz4^GKI$p1bIYf-O1bdac|a#qLG=FBoijvVl1|aE3WpBT
zgIVtl^WkWyJN8-ltl@&Cuc#QaXQ0yqp4;nWR=S(1No{v7B50iz%Hc~B2}5H?WW^0`
zIS+RhH}D|>@~}ZesEBe%-+jtH-mKvJe9CbI&rHgHFnTfm>LH)<ND#K0dxTp)aA73#
zXj7Ue|GDzfiJ6XGw4@l*`<RzH<U<rz+W94weECmHAM~7Ee{Ij*WKrq=DELdBln;ki
z@g@Ohh}Rjaz=@V*+*gh$1a?~QR5oO_=a$0NwCLD0Axf~2x~Gj&d+){(jKk!so>c!t
z`P+sD)$Sdkvv1{@WQi1DgW$}MdWy!+_-l4}hh?T-K}*aE<Nvx)Dp6#>j#{YY4N=((
zYs}5MV#ws-F<+5Z=A6j=dfAIF*?G+C8;;<0C)&^ZkXuJ`i{4`Bd_8wMUB@9}RJR1u
zpD`<=$0?wAce=vy!wdW<=>=uqH+9Nr4ao?C(Mzk4Z(;#af{Mu8gio&fzYd%l=5PhZ
zY3k~Zey3m}d460J2>Z>OHH7`gz&0iOkmV{YyXjasmJ40IPueB<h+R+l?tHnq69HKP
z&SEz2+vBB449d^(bl{T$FUQ+!ZJFwMlYZRR?@@CElH@MMmAl&`@H%l+UY29Fj#<Ky
z4>bm{u;NAC@LkPpOa@H^vA9QCA0yxDC%wEi%?Q_34(T$xcD0Ffz7&)T)Y|_QL3}me
z@S-cMWI)R7tVD1B5vM)b?U@ji`(m8HiYfFNw1DgGTKT8At{6UCDiU39H@!Unx~un7
zfsNJ*J}elgX}?8B$?$tj2N|9ekj1uLsy~H&gY_GdbXyTNK1NkD_M0P(eQR?%t18L7
z@DT=T{hTtdJPR}A77;Q%;aIBBt8QlG^Szyq4)~BqkMp)OZXxUZJJvMRdD&`+vYXKp
z&)tq^uZDJsf#sD7oAf6b%CZ7{^^n>n_#!yAh`sLyYQ(Ub;qy5lD!#IsEfe5eT@L$g
zY`Cx#DpMb-6x$n?0!3`OeW7|N<rxV5UdUS#kJn%;HI`>W=;QXCO?V=KKI%xK>)Oz{
zl705P!J%oV+K&G{;yKAo*X!x_LW@7q^q+3RPZC9qsRF(QIp_NR=wyr|&33$N=Fa)A
z03S+<@=oD_AP@5*_ywoI6{fk>#!{?y?dYJzB@vPcN%M2M+KO{W(Mda3mBk5}p>t^*
zP6T-Fg8C)umN%?qg7`Fl`<?c78b8WI!R?0x>nO39zhgPEffQ>JA;s2sLEUvnV8|EB
z=8udmn<%$GJ(k-rBrei*rQ$iaL~-Zh*Y~|-9>w&2IVRC~Qg~q#EUU)TE?1nOL@N5B
z#_ZXVBxE>x*?$wHk>hbS;sK^fo!huGA#EmC2gg_5O$}^b`=hS?_X2p6$XJ>AoB%Mh
z;n*>xTT^HDIi-szD1KT{86n*^^`^hf4|$%Sy<1Rv`NsZw=}XWxt`ZHiXF~-*YQ~uC
zZ1aE9GLZ%^OjGD}s@!4;y}yl_rX%A|E#Yf^``UFW4ZIh*ldPomi>nipxBw|8Yzg6o
zJs2ThYyBCPuMr4sM(H+rVZNG94ky)nX07a;Gro{hrw8%q?t-C>nN@~6-I`8M%kO_k
z_A|*EeVC^oZ_X$L{YS|M$WUHs6OZucX8#xA7aMD~*k?D3Ztl3Cj@uf#Ug$Tli@Yn@
zxw>@VU3{+auLxOhV1XZ2q@kR*9;691ytGo|d^l@I@V=}JJ-Ew&K9mqgCiv@d`$*^6
z(<n&gGPjdF4S-Pp=GU}*_EN=`$Zh=Fono0h1xns0gQ?y1Eit6p&<i7KtGb6NB86q^
zw2{wmy+3jtwjZ=SB06UC2y?lrwRjA}$0d6Vpk3R-on-<)ys(vSN<Y<mv+RceZ^0^d
zDjyQ0ndQsWz?uDA-9!44)txC5T@gotgP}*6No`#!rMmXRtU^<iM;u(V@*gNWUjr|x
zI4}m~OhG%z@J*$6hjNv<bV2E)pZQ8R{7(}oR}-M|J?s#wu8CZO(2f8Wo6pS4t7jn5
z)jY@HDSRKINu^BdAr^Su^Po_i07L%@KwzdO(&p^HXT>b#`?Js!F6e=n0wwp8(GSVK
zrA&ByA6T@AZqR~a)5kK~m+F&|u7A>|DtGw}8D-=5Bouyfx}ZSfeHgC;e<d35veeWk
zz34puVG8yus_K$G#1umH3t%5=sr>6D2h+a;-E9;co%=pClu@6Q4{;64zH8#lMzj7I
zzthg}YVl96^M6#|hW|-WX`EF`W`$<H&(aCw6wFG!{3nW7Jp);~?4lCsUQtz`R{^kZ
zK#-%gB&d=*pSRWc`+4eyjHH@mk@P*$G~G+oY7wAb#Ss#g$!lNXR64?yZE{m9Tv~%d
zg*3md?i8@ZarCj&5P9Z&d-S#EL0nIOV3$wCQh@4B7zZ^5Rj81y-F1OQl@do3={9m$
zg;Pi8H{Fb^c#>9J9x(P8SVT6_wVcCs))aJ+4j`5XL>J*3wnWGIB&q`)E3x1CTvd_g
z`4+o+utOKa(IY3)21vOsh{nZ})z5T|SSXY=q3LGFZp<EmU0-XTeD8S>&k`AU^;rHz
z)8FJt4gj8Hk^M8TzN7x6fM&r)Q;mdiYSxVu<llG*&;z}p#wPVYR2#F7cNOEv0{#nc
zaT-O>5j@I(xn9Kj3UL*V0CaQ9%z`^^IC6OGk_+sE!Kzl(AKf3@P6mf08;(&U<g4HP
zp>Y73vw8Br4-v=_1w~_t(nc4&A4wMQJX~bd`yti)-+KyD4H`XbWH(N`v{~Lp(Y+so
zgrLVO&`~^UjWO*Tsx>FjV(f^jBU6ubsu~XMJk?Ea=-SR8t}jDRTy(%kA>iAoSTX$i
zBY*~%IFDRRT&$EfldsjU&s30obo%w4wt>1_C8FYGWbdIc<yS8`DdRXjU8_G6Ah9C0
z^=_G9KgN3=g7W`KhCgqXm*zKEm)D{4ar8Kg^LOPy#6LWJz^InH%*J}-HZOJIDe+#^
zdX<l#;mwIg@FyF^c?b@q_^9%ta>`E>y?<`V7u!1w9o(DJB6#G&H9I#t5kC54;wri5
z8md{s{0UbYDApJh*tyT{sG94@KQl4a%bdzOBvOr;%ByHRf6lvzTi%z~M4<~iY(+Xm
z>qIc$0MFVI&BKBNNn&Ez0v!t0joHgN*_~$Xp0$wQCe4ZeSsa%;|KGsH+u!);IC$~Q
z%w+NE%<kXJ^s%|T+32k%_St|0ho+LAu(S7ElzIz9lR8NM1t+fc&7U6Rp!RwQ#lArE
zSH=Fx?;RBT8A^VKj~OqDhuE#-xU<K;Ym}ScU>YR<>gk^9sLD#HxEZ=h>B7kIMbcK$
ztHt6B@cSy_0^{>r-Nqo&<bUvQWFZhRuyQnxtgqL=)O}N=G`w>BGkNG{KQ`x0X|Tf7
zLiBpb7>;TvHtKJh&BUATVDUcfnqVau&aQKqT9)^fjc07};TV~&)gCeB96#R3khPZu
zagrg~Ae+5SjGlmSPWuKyZ4J9`iwz~zpXs7H8nZL}%SH>Uqv9(=@OMLsYb>LE`xFe)
zWPUuEb2*A0Z%Z~x5@{SKgv2PA^=?p>q6(K~`vCwl8m6gNNRb)cF|kMj`SU&hPvp$>
zXfdU`>-X(<u6u*8sC_aP8pCT(Yq9Z&<41CjQljSQ3P110vX50MpskqcM1=L_pUGOO
z^A6eM)CejB3Q~F$r+d0Ifh|a@Kl3Qx$*Wk;J*^KVvaw20+9TdAFzTid0jZIOg|22g
zr&2K6Wi|Fm1{4}tv}jm3+vK7YfS^@3t$#6MlBXsjHLqiwgaBg2SmkuK&^L@Z>r0%H
z4Bv0BXC8O#S#?04I!uVn@8gUI;_q79jm@q72_>>f?eE%9hPEu_g-5G%64|_}ekmmX
zjI>UcwG17`O?S~+7aV(3e28O!S)FiQyqY2SELaY*dSn$SDx8U~pO>4(X-obP6`5Om
z@l-`H56P<>Xm>i2?jUtO;@>vKB=jS0IG~{Uw269w9|cmoQplCbs|MQjAtRq!q{a;1
zH>95unspfy@GFE?iJi2b$p$nOaT_w?U?mB|TP+%tpD&a3((=59y`VAAA)RsnVt8L3
zUu{IN-ovqW%TwJ_sa*{Vt`ECw^BU-j{-)F^KOgPd;6xVOdO*X(UDP#NJ{U@V#GfJY
z{v+Nr|J4D?9pypqa=Pmd6<JT`y&TH=AwYcF6v94C<8s`-!_!b%s6`mbkf(>NWj-Y9
zl75nb(eggQ%|qbtz8rBhegto1E-YlGbGg6Zfq1LEWb5zNm`hH$Zj5gcUD8-hAK=$y
zNJ8(jIzUYAQ@qo-f4_9$S9TRp7^X>Z8}k8it*I%0pp_T*2~^YOaZBe?cZi!U9snEg
z+Kn=`6)So+-9nGt#FXze><BqB_RunW;vh&kx5bAFMNV8d(<*u77he#!!C9`Jp?NL-
zlv;di$|1bR_m<f+rnu&~)p@E^*-+{%|KP*>2deCUx4NTnkGOEl<56f8ZaVLah8N;1
zxlCCMN{vnE=~0yT16tNX`|cI|UC>xw+TgY9wPIdolc4}ntejfDfafmpp*cj<Rzoo(
z-FLHjZl>PJV4A(g4CZ?oqxgZcxjL*ycem=)8Z*PQJvLi-w*Nx(?mLzS#zL9SH8JW#
zB*Jvyv~;$|!oK;3(w;IpIrq@==v1JV&#MfUZ9w5=NY$sOg9F>d6)k9ZTEI3V`L(ju
zuPaP~86!k+;4os6u}-~%>J*=hwZA=ckA}A4m0ua60U82Fz-<5Kvpfd<yq8*`N?W*8
zG^2*#*_wQ-S()s{G5$Z7--{YKn=tqMc5_AQLwQX=D&osDchUoItsMLNl)6`*e*eiU
zot!`yg>vlT-&OL~(B&3j{Z>8A-7(JDQOQ0!UOHJCmcEzvzBgw2_6)$gEOpOxSJ`-p
zFKD^{vkHHu7I^UCXoP@IaMbXM9}TW6A?QgQcxthIOa5f0*q-Jyt;-z)%an4K7N246
zW#_a)OSgvXnl24$rauLp!^nJsf+vs4h~|cl<V>WRvR;&KiF1ugt*~<z5?UUsP5ZQx
zxt=@(i5yZ7%fXZ4mnS~5KFyTgmL?ybpV6{?;ifG9Wc&qkJxV7SL9CLig?`iJ&U!Wd
z7$&ha5#;Pk$nw*y%(HHx!G7XWZ<>8v`n9=*)d!Dl?$s_)Y*qGhSC~ssMEpmhim$n{
zI1JNnIEcRanMD7ptEicAk13Ysl=2fZl#G9s|3%wOrfC>J@YHE@D1}W2DKlpowj`Mt
z9rc5s&oZ(G^OkJhRLc^GsVd!hgcA2z^!B$3Hl3Xo6CL2}s%I{Io3ti%cU4pXtb;Xf
zM_SK5&ChlhVH2R2LG0S*`a?o^imGvO`3J(ihl4RGP2j|@W<?4*$%4uKMzL#i$fh`a
zOqB>3kDD_AcLHdyg0hK_l&b`E!^00Yj@Zu+B$(ZCQd38Q8ZM?K2#4K0_tc)bS6Mj3
z^m_z1dQ4-|@d<hDwOCm_OKa_G&G!o}Tv6F#K^Z(fB-U@#8dtQJUsd5!d6<B@sBHO%
z>GW`p^<}lHV?vSt6Ge}W9h&rPz1@8fs}e7ZhRDJSvqVZ-8=TyZ+lMLKhNmg@G<tP3
zhIGt&bsUE{9(oYYnv2n2FgLJ|Cs?M+D4(z-oe^DJtL<tIG~*dW-KZ{^Cr&7UZGCFV
z${A0ZJ55*CoKki}e|`FdUJ7%a*%H%yBvWYCIl<6*!7$V?it_sBG3$)5rSgZWc?ruq
zC;ra`;6iIWR5wWYCx<iYwQ^&@9qKyz=HFrM#WQ2m`Fe&DZa;iFC48$?YK^2%>DxD?
zLO}{Zfc#)R#qppjwDzhAL)L`XgIOr~=2X~Ntz#xw(wL~D!Bvv}T}MN(WG6Aj`d9cL
z9B4oE#K2(Hrb{wQZL~oiO}WVBLRNq8lz?LFl${zgii~HKiKB7V7D2rvvb}LUHr<J`
zCOux1>l5d9odeXyUDxUYGBGg!9QxDK3E#!}5MnYi^AxmL3ufK%)AH$P&jcs433Hc>
zXB>!6D|)MNb)AwA((NULe7E)4oqs5nZf~ILFttJ!GCWzU7AS*}^Jrlc?8?Uu(GbvU
zc>lP1q(EY$;Ahk5J4FpuIw>bm;cvY5P&M)Em=+L7#Y1{2pr0Z!ga(I2!qa=iP_yip
zD=eNgjwNyXe(EE}Y&OaVT3*jGHf-0+h+dm-?}lz1o0xdR9TU92wVL8pBTZv^iONqX
zprt)dv+<ktS!yD*Uw1U%ld<ZzXKoO1dShhg+Vd_`#&txdZqGgOWRvK;nqe=FeiGGp
zQ4l_FsaJZApcg{pBaYgweiIwvX@Gt}jfwK+3`nqV<v@ZJ#Qdf7Ks7zhy)xn7-rO2&
z?E5}JqNpe#Dfca}l)t}cf|6W>mt*GYVNBgTv!wzs02$}F7$e>qy`JQr*s)xu(C7ZZ
z1FRi%(tUvgc>YFdF3CpD*ldnqwi`AgB5Joi_0hyoZsa(7zPv8Cvt5|^+hD}c7pJCm
zk<5G9D76@Y7I^r`lqrvyZ(xxLBfKwmU>q55{ZdN&5x6~BQ6BYHXNBFEG#2(<3nx1P
z&xF4Lm8arZ<yM$wH3pqHRav1dKe0j{dJ0b&sC=M=X#O@_2l~Hp?aeQ?yYtf9G=AvO
zxB-cBZ=Lc|l@)G-hMekMx|$q`it`x1MLHR@?gcB@5FX^Q83(K+%B~^%LrdWh`KtB)
zkgpo=9}4@IkeJZ8iMnt9c1MD}QB_O@tqrZhf{Ixxn%L};2_6{O86PclO6Zoi;-qjY
zI%P4|ZcvWRQ^fAwk+VU~rFtB#TJ*76^wh(y{J63~<}_BD%4{TAgU*}IJe!=yX}a{9
zYEDYN8h0Ks>F0yag2zPd(N1IfeETNdUygCJ9&rumh2wT)<JSy-r_TKZGzCBgREi_Y
zgtb`{lLL8`t*=nw#d*8YRnZkHXkr8TrSCc=<J>Thp2P;{MITF)hS=K-_l{F5L-|i+
z${F~(p(!rf56<2%@g($SC|x9erXu89a}mtr&?B-v&`Iv#&Vry79eanbOA?7)<=uX;
zl|<}(7x!M=*b0vntZ22Ci&MI6<XLy4Zg@QE_d<P6ZQ5_UM0Gb#@V1?nGHLzDT0yvF
zdE-L^Ev8ZRXjoq7Fu7Qz;fS_MuAy@wv)1D-4*@KTOh?|vx39LL&g48@ubevjEo>kH
zGc7xbGmg6h5hwK98*6bA&M2C=UKN28F@uIjdc4Yw34>k-+8}iEwcPT)*x5uBG;kJN
zrM&_^lb<ExE<jdyFGnTBNOOX$2@_DHCMi6@3!7XP59x@QESX7l&tH388Lk!knAHlH
zaO2kxb*n0kImmeE#aBdp7l+mNVZVr1_BKi`94<l)T)+A5LIl)%Q5zd>!^4zXR%XT~
zAlRO;grCmR==HA!`znpFCv7AB6w7y&`!L8ltrEkf3nL223YA%`vsI`F+oau~((Reg
zm=AY$3Xo)}jGMYD1<|VEMY)|5KM=V}ci7@NEoY5y`6|fQ_{S~X(oSC0Gw_$CAi!BB
z(BR;`3!!Fu;4$p|T_ZZk&sOShmS5Vd@c|TSlDXmWx*GLirEvo%d^TZoGT$7vak5$4
zF0`j53v8b?BoXfRT_QJVnxAeXV*RC~@l8P5fePX;!Zwe61d6hQl$irbIyc^1kSO&%
z>ylzldQmRUmDO5asiiP2kZV-39+zcmAa6+#M;6&7RDz&MSgZ<dE52-$^IL33s5VE_
zh&UH9EqahwMff^pCCcne7))6$N7gup7gm$SlsTQ-W3l_E>@z;Hr@s4tJ$DnKeJS{k
zpsqhB(d}&iCE!p@`_x4Dr$w(_R~m1U*u!rg4&}5>Srcg5G~M_@&>+0S2Nwa=U0B`5
zTKMKm4M`{Nzhr|gzz|P<4~_dM&$hTjCph!fMk;&m`r>TSstz5CGsB6Y`*MD}hi;v<
zbfIk$<Q~K}hvC6mWqvkxppmR&bP7-Nm?jb^K=Kcl7a+B{^SR=%y}K^4G)fn@FJful
z#Zn%z^LFH2e$4`RX~d+1(`z7ncLu75XCh3uca)|~>Q3Kf)GEq2d6yHjYz+D-yB3IN
z{}#oVe0AkZ_@8G1kdwu7{d3Y#r>=HOL|mMdb6z+~H^R7PL^-r4F%hvIW0&F0xg!>r
zNv&w-nWMbfLVx~&Y(E3?=!)P<f#MU64mqpa-VaT)sRFi@0+EdZ-kk#8jRFw|itxIP
zFeCXz-GM}qICTU|uEk-h2-3ysINEKf9VyoL>oMQoFH}@_hdEy9jV}!oKBQ^<Z6_EJ
zb5?w9IiglSlYHI8QWLRM9b(x<E3%);e10+8x^2crpRhE`obOablN{YwcS5XYG$HdU
zqYP<mu-W~}c;q)rn}xk<JF~w8D=T~vxquAe<i}uMDM;5G^t_TCxy2I02|u(*mF#)|
zwg2?+vV{-LpONqk*FOtA^<Mc94<w)OPnIMOUQG<P@C`!vns=2f&;8?;F*ygn%RQ&)
z*Y_vK6R1uyLDRX!+Ssp*Y~<Wa88PlXQHGby*3hR<my`gXYt+rqI7q2t`2%fvo71$A
z>|)tlgKYO5jpJ7k^UtDf8pOh4$@bWnJjl1q=#M12_o>f)nXK%6U?tupT8_BQ`Z^T1
zv~{SWVoTG%7e?$<6Cby`Rf~Yg4g9z|G;%6}XA7GY=b2c)Gv`tT^`4+NX;bbPYQw|!
zHw6@uN`2Aj{>bdffEgY{M)Ds)Ao+1xFI^ww5ua|3Nyz)moQQ|smuJ~t$KpV;3EBQh
zbyChEv_ke>q0_6>H*$0}HLxTQNYI}oq0)_FX!6{448M=1eU3kPCG%1w@$RL66M{cf
zA<H!QgVTy=gs*hQ!hZD>8Nx8)=q)08b{7om5A9%E{af$%v@bn1P_5_-LaT7qf6I-Q
zI{47!?cuqvGp%BozN-6{hvaJ{5k6^}O0}?*o5Mai@jv-$(g9Odi_{t8=SAja_pNOE
zJu9wAtJOt0{`pU*VNY30+2arxtXY3@P(u1(Uu&aIFg<8miW{DQSj50clcfD>H#Rnw
zL=hQ@>)qYm+Io6<3k&9@FIq$oF;@kJg<AIZ#iN;bdm1spg!K_`NE2B%8`s_bN%~%0
ztq-1%;^5{!7AHpp<!j{?l$7i!G5(WeIaBYIEECW;`o`jOP@U<q_($kmKY8Rd%5`1y
zPpa79roN=&ByVPRw%pD4+1dBS$u-0xvTAF^)iR`~H(yGMxU8sh8$5qlR9|m=a|##N
z5jZ6rB{hvnAyltDEfKtaA-EMCE76C=i;;ywyQGjMMPM$hwT;c2_?f%HeiuiDEYsq!
zc7zb-beF9rzU6Iyx|BRxVtIMlqv3SMN5qq^pKq-t<%gW=Po#5Rn)?JB^R$%xL`DDZ
zWYw-i>Ebh69c}F?uJyy8R{iOx8-=Aid*bxjx=+ZxpJ~dXpO?bAAV+g*)h$#mI&a?0
zm&PTI3Bu!IW9^Wx@}jgnvtW*BcG@fdda$0WLF7)VwBLmgn8Yu0Bu-xnCYLU$*mAOi
z64pRkL;-xgm6c!JBYL#V(`I8Re^lk7Kk2EJ>Hg(mzs!Q0q-m0v%UgZ)BoG~YJma%F
zEgG7Ts!1}luf9ioSLowiD@2Hjrk9tOhKdT2WqJ#3M~ESO`SASP!daj7`T2PRI(jjs
zJbj8P)RR^;f-LU$InRrG#&t`}%g3Pyf8=y4<f9DnPL1oj5Bi6j&wtj|)>?t_%?5S6
z)#^%5czI8u71S5^5Q<U5m^X7{dzdS~?ghW-loW}~?e(q3JluczR3H#E6#yvzbtq|p
zUcrBTe53}7-v9deUJ&%^+20gTbKCel`sa20^j)js?Wl@rw`uiKSj!pk3@1=_Z6Aw2
zXeMe;REJK6^9MIX5G;OE3%TH0aeJgB1>Yuy?)uOX3iP={i%kjVg<!o7(8-{d*Sb|#
zv>jqxC1gVxcw;jeWS#EC%BgJS$%~@Fv124ArX348ulcC-7HFUOJp6AN|BwH%`Q=Fm
zVQtbW)a8ChyZQ|J6ijH%l?3D2x3hfn4N$hjEP!<3(K;>^40z81AImL!;`7>h%@HG^
z6r3D>(zEC7iD4{hOg5FwFof5zA?8cAM5V*@Mc<Q|(DL*pVbJ`NJnVgX$ehNz&Io0Q
z(q>x!kqxK_NS2nCd;<<w{tzneyT^(M;I1|o$r<E4j?hv4NN&oRbG*v+sUszJ1!K-P
z(bmy5wEa-CGG4~*-E;AZytEj<#{#op()-o%@o~VeXdfqXMfncm1T|{vWB;|W@%nLx
zQzaEl*xl7NHu!ladwU}H$OM~Ssi`04^F5lgORw*lnVDm|r@Q>^cJUQ5|NO_e(r&!`
z8(0~I@<j#ziX?OroO~6@)IegHMt{S=LBrg@VH1=cPDe*aROK+8JUTfk(P~&XV2ELm
zl9KWPle7Ej*ZrP2THNUi91kv6)}Sp+e3D<St9;sTP!J))eswA@0G81MmZ2=1Amg_8
zYW;8eNk(s2)HzSn<v~q*Vlc}&7-wHT;_t#$>S%A@pn_J0^@egARbFzf=igjFr5Ht%
z;de4lhgA1;dcSXpI6sN!HfrR6p3Vkfn-{7|8crs{+_xuC(}tKPFsayVy4GzoH`7$Z
zATPmF(*Ih+{~$)>7QM{L7%UCxZ)|23fXY@w`Zt2P*a!BLm2IEBrIy20TgCW%Uh1xg
z!zjp>wM*gzmR;Nnz&40sKDh7y6>zJ&m32w>Jt#7{cY7V0_BhxB!Qb?>-M1+#3uY=w
zKPw(TT4G$|oSuzB8dlkjAFR!-0`duu*tHMWSYz+?982~))NJhZk=WIjJ&sLRC*M&g
z@GBC>fq!0r2L)|bkC(ciB+c$(<*^y^z_AB|4TBF9SQls$>7EoGb(DqPc1DjXCmo4N
z#4W0I7x_J_JM&DcHF=TwuSkhQ+cu>2RLDh9m77aPw)$=Ik!JLt=3L9{###`{G<h9@
zyMQFhntW9C7qPf)(8+qQ!<J&Bs^nk>|Fhxyx;`~n4;#QCFfhl)zIn6{NLuWtfC|@J
zr5GYRBBuuK-@Qdbf+7Y=`X$C!2b2`{uaZjR1m<1hLxDsHKmPab`};skpOM?k8g#ze
zz*eDq=1L^eXLAuTzWLEZW7tziMSaH<W@^|&MSVj0r|q=VW@~dTK|!2C-QqusqM2d6
zkvA+dyVMI_-82TlF0b3a775UHaIkhNjVc=)ib=HWvs#Wdel_t;Rh=$*{OX!bfzJ2i
z>do4f@~<83LYcd$4zJ&BQp09qnc>^zpTP?f_@9FLfn`-=`)7|Mxn1xr)2?s)(%5S`
zP6&9A8EWLZFuPPENnly)MX`z(6O9vb@7-9Pl|}tFPwH)yrm$b1g7{4K)&wO}*U(i|
z{$!l(ctu8e4RN~NwhgPn3uTbO;w01;e1i13+}~9nBlt1JQfQ_IS@e(1Ur#|d{sMcQ
z(xRa`vR;^(*)lpfIC$FowEwPe*J(W9zL7ec3u>a?5sDQl|7W%N?lS{R$q1e7DgDy8
z@--LX1+d)VMygl2JHcSR+CAT{V&mNQEbKL6=H!*BVRs0x!HjFa)?yHB>CYtSBUf#Z
z49(-#!v#7CO36&?jbMYN#m>CC#r^DO>cx1v*t%{E5%4Lz4&SV8GHvia)&fitz^5mK
z&u&Dxx7yqbL=cY9K?IkXa$5GRZpi@$kism;3Ao8vY`EtbR&M3l6$i1weUcwPjM6OG
zq)!qm%gbA>ewGzX8rJqX)sJGPW+9ZbfVQK?46Ty+()#M<=F1W47U`R)dP7*C0Hrj7
z_s1O>0&8oTqhNQmAnOZE`c&R+48jH^t5&!BbN{$C2pbY7ZPpeW{+&bH$|$=rjiDAK
ztAS54eZ3MptT!_|Sd6JCLE`WBlv8TSegsig6>#O3Tn~JVH3997L}>tP$KuP8B+Jc_
z;-;d~(f|YWH^58K6kYN79GKR6Hi(lt(4U07BJIAfd*ZoyBaRG#6v5@)s<eev#aj7f
z$Z*%<Se}fZG1HV;QZpB`aP)4NwjZkkk{B~@@vkOwciA@P7S%qV2ugWIYX-`Gm0I8Z
zHa`;9X3hfLbVGO;Q>9UG>MoH#c;FC2esJ!q!r(a<h}T-IVqgX6m`GT<41KoeR-ZU#
zQ#WNd|0BZ$Ts`SYVQ*_$D8G2V_?suKCY(6~t9HE@b1tw4!Wc%&jF9>4E`O?@|JuUR
zl^mU<Wa;GK5wHcRy=FW@5GN&=DGcFxD&98VkA0<Qjp4-z{{GWQGu%iaLBS=!<#Ih?
znBs^KTMQ(mr`or84kQ_M^LPkj&Q}P*IgFeVf9}PUW(Q*Dj=mWPhAyvklRm*HU~U3#
zzutYW(^XFBAJ;!^(~lHkmpYN>kRfY@24B4s06wqDt#wM~w%1wjpfMOkng15>`9uK+
z4E}7=HF3z?<u<KGMnUyi&&(_XBo7P?-2R5U0nez?j{1*?e5~6F`!?232^#lGrkjR3
z47hz(kpMn$`@ne+g?C)skw5`~m<49b|27B2Bru1p1sk7ad|u5ys>46mGNrl;Mqw~x
zpKTNlRPUtJXBGeR=f_7RkZT{fJs0_%w8Jr2q#LnmUSp#_wm_$lhps-gT%F|Jy?ZSn
z=Qj=)>Sc(bz1tHnK)_^J0VYBXqL2I6A~Zt>N4pjW5M$lNodbwrfLYM~AFEWI&=@x*
z%v1SSjGY!j24DFQlA|N=W4sKPmw;7bMCAZ_kpR4~Qth3mQn~l>#;^4B^t@seA*^hy
zL)dX<N~*U2C!^nE>h_m%bxs`kc0#a^^Ky5bm69P3v}E&o5jf9Gr(i1HPeRMM8BtyS
zXX@*Q>{`-RdEWKVq@TR%I{y<IVu3mM{?2yPczTPsU7qWK(dH?Jp>jmJ0$h~BD$Q*q
zX0p=W<qi>%o&kI}>gej_lcT2kh^HyTqob<^@Qeh(9;(HQtLq4$jd@)LcQj77cyW;d
zh!FGoTqhbJAxVfh&d@qqTX$}+uN$zhJ3yVFoFI41Z?`t!fV9ve#)koEAq1p_t=N({
z^p#6|!J?Wn)-RePsg~hi6Pdm-5hqqRAMZ}bsrLYMnQVymja&yy(`|3lB`hf;`Bz>5
zlkjq=J{|k<Cg>0lT9pd48<+kTp>~4G#JC=g6dPsy-G?Dx<C^%NFS~^EJ0jcxMcNHe
zkQ5kli9KGbGH(l22Kvm*RzdJHL<zpoY|L&zrpLJkJR!fBU-^?llCjnRkP0q9Dk0^{
zGXEl#T3zMUegh6*)eWa@kcqZdfK-&@|4m}#+cy8lVDkT;`2RKVe^mpWy6u|~2yJ0y
zWo571v`Nr|S-KE8=}o9C1Y$w8VF-b=Q@U~Um0g+=g4d4#O_f~&d2IGO(aRUm48ity
zMd=^GXLji9Za}p(X~^Z@9>AFygXgwA_NjF~94Rf6?8X$Wl%73yrhpGg?EMbcP_wkO
zeD>&{vx@9EWM5n?r%fJsKGYt#`?;l$59Tp1?Dx_FsF%<xqO?1AgIoQy^3)q9HuV)a
z>0s&$-gL6H1%QT5i?N1g4Lk2k_=r0j)({uL&z4z2M*uI*%5vKX@rS(DRO#@(`NDG(
ziCaQKLg4_5R55d|Pbe{Kg4Kl<qx6)LIoCTfUw;2H`GkLbZ~JyT$0PRF#m8QBomAPd
zUQwZTkWIct-+m;O^Y8EDLCW>SM~v2~p0+=sC3cKDqJSPUMt4Rmtr{8`nWcdl?QJF|
zCO)xi14OjXK2XZGgGNG)COQY1%<R{)_znW;B=?YKjPCcO!-qhUz)u8dqh$d39^Br3
zntw>#vEf+PQIysp{z#9EhK^Oj!QfWZtGB(0ugnqS7RA#mqJ5(c5rp7%nP1$M5D0>V
zX<Y(21ae$Zv@Sx9(JWk!vE_Ei9h;z=du3=qs8hup0D|-2=x7H%?~S#*huVX#fE!Xh
z;fOvaZ{C7W4p062fA9De31Pcn0~0OrY;rxQFfy8aPIo+RHB2!O2kRNaM`>Wvtod^2
z6eK-=yKi1j&T@DQwlttOsfnh3$`GRshi?*GZC)m1y9McbNs@*bi;pDY1<Gb@)^_~1
zM*uvc(&Ir$&udum<c0;YHE87A7W`Mh-3XVtb#|>>uDx^LgxV4eTYKVDmN?}Jwsiye
z_DX7M>Yv?4j6*+PX}@*;lf^eP9;j>`<hA+kOha7(IJ78*Ac%~R5_pc545ikny8q(K
z*^$q!^D<Q<rZxyMm5_eJl<Zlh+Pd7_m1wJUFV<vqIOILKSX-^`!B=~UkwiEgo|jwQ
zm{TGZNIrrp#01Ec{`QyYcS?nWDmq^QtqzrW+CDXdMj!avR^cW!|F=bgmk*#9zRaZO
zeM+0UdV2jw=e|u*f?8-Z<qLIY()E(!;(K)^lU(_x=q5$RXl(vthx5Yxd>g^`DQ@V<
z1VwRiaU`?Mtl9WBU;CvS&_i*MS%3gPTQO!8Fw`}DHnak}<Y)x9f?ha-i&VXtSzSc>
zbFD|APGZEw#G1TMr#*Z)IXLcoXnEa`UB~Q31M8zNnV-f=pZ;4_V*sz7-aSyo1-CXZ
z*$-Ol!$&JBE3Y%O{4&avb*NR)MFu}ZeZ0LHku$(#RG4dYbaaOOn*!!OSlcs`)_52T
z<3lv988;2tg;vcsCddv8O5!xN+JOiCX;0i_kz!h(K%>zzjh6>K0}~Syn(%Eaz$eO@
z-{v;00_x)9?rKMJNa}~OAtUsX^<;$5iuO>|5Gu=~z|vSt>revLOUQEdEnt8Ysy8w;
zba|a*l^&v}r<bvEc;3jp4k!grfiq!^Nj-`d{`1+oS-&R8pTwp+mOT#ekwzllK7?J1
zlZH&uhRD@2j|2X@N;$^pNX`M-vrW)81R!P?$W#kOw<0YN=K~1pr^?85VSsM_8e%Z<
z@$r+I_YbW{%SIx+FU2~Xcx>$L{VK3DYLg=)Blkn(glkHC%Cdn7jt{sET?=5V`0B?U
zPP7_*1ngX}<D;V~c6JSPoH;@kvTpxt!;szbMn6!)QDydG$ADL0ar1y4ZL5d3X)5ox
zRdEAwli6_oV`Q#)#G$z;ZMv{}3N9pHV8a_uin8y}9F4GT7#IPnVRJ9Av_s@?Vh<Ui
zl)uf(YQe8)W7GI|07c>K`tCmF8~;kdJ5gVZrvnL^<b~jCW6_91KNh6D9}5dh6(H%l
zYuW}%%Q*fO!2HvcB5Xg=4tQ1NZWY78E{}YEo|%Tcg8_V~%<JY*VGwi_&>aA=YeU`Z
zt5%t}r$C2s_p`S-U=`8;TvNo*Wzgs}<5@3@xnvL~4N;ZT@SPpX*W&#-V#*ELQ-Ju8
zY}74)HmuFR(qng~wY7ndmN>(*xY!Qp()CN8mS#H&h2k_BZFr7uQecc8)$r!Tc@&=g
z9RRgD;A+FSfngC?PEAaB2QkYtzVQ2)4fZAY*Zkg7WIX%8<R%{5j0Gg|(t7f(wh5=&
zugY!E3Bv_GlNs0ns4@XP=TDz6*!vzPr(qF`b}>guAbwoZc>H+{0i}`i)nYm^g5@yl
znx4L+tG{1H6AJWM7;Ko=&~O#SzoLO*Fx3Y8RP#<$(gaNxvFK|KT9n)Q2q_&9$MK?-
zEV5@fb<xe-TvlqbN^IO<Wnyj{Ln1{e5~yvI_T&8efUSHCh-`{#YJWUh=l2u=PZ&|Q
z903J!um(wR>umfHVo_ASwE>$S?<6lTpSf9k3Z2j~G`u)vAGd}iE@>K!Dz6*Ng1v7n
ziDS)0g!9jCU|kH{+>VR1{A3_|hLu(JPxHZ_94FlYt7M03W5vj|bv5?Y%a?nzcmWa-
zF4NXkbV-pnwTM$H6Pr7HTO-(Lx43F%L&yB<J8IZxdsjf)Ch35vX$WYTWRbE&)cAlU
z%0Nwq@<l)w`z7G&f{D`lKcXdWq9hLXX`O#J+Z;(MWo%LW=Tvkknu_ICzX(znb9G&=
z#Jm6+%=j$aAWVg43&VPKkm+~vap~sYja6P_x2C;(jrIJn*wGpf-SD@9VS-47a*LjF
z?w<Hl?vON5C(@2S^>4pNIvxHKZlGdgi0exvSF!c+<HShkx7!jpckRd6Up~r-eQq<S
zcgGUioy8Ke9UJw-qQzZs^|ZrU0oGB+GEKdH<tus6IaO#NjYh0aVQN-=r7@=rxc<18
zWvCNwu#^nxfw0s+KD7VA-@##QKJJj11N6zZ?LI}HHfSA%M$#|ziDC}u6OtRNOX{3c
z)3xM&KNYV^6M%7R@735pAs7Fq{Tbva+XKQ_X?SFWG?pUoD5a<3E9pIf9omj{uDYwg
z(4Ff?fA92Wy=$3I6nYQLlrzI?CFxJrsXc+Iko15$0)&qA7s13=h5W3zQ@1Yn8~rfp
zU$;(sECgn=?!@yN!e{G2&J%g1+w50C{8vK}TUQ7u{HWiB^RFm;B|FPUo$UHbo9)a8
zGt5+h6Jr|tlIlB>R98sv=$Y<LS2@l$rM8r^F>1!KnuAq6yjj(?J`ov)-UzPpGzP)%
z(y{3!FIO)x-EW_V)+dVdaln9<8eOl2fR_T>8&GHEX&jJZi7F7nolmvj+K?n!DDQR4
zJsIvR8@UGDhty&%ephWYpgI-mDD*hI`RWa~CE#a0&g%D}*-PHPbLL6~qlHIeuadef
zYyr=76VBs1LT_f>iZBN7!}e6Sq|A^VVcXN)S?uQ+Ny#R#hycQCI?t=5_II~-%Sg`1
z_j)s51e-eNmU1#`=Cu12ed?wL%aHD`Mxb7b?UsE}ic73qt<<sue~_;F^owhr;D)Tu
zBH$&9>#|quT%6OYXy1!--}MhOp?;W?t2w)jpD2{u4e_Pap8cHhTqR(v)1VW5H|Jx8
znd)$wI$#-@NRE*_F~1W8XcS2ztX_7^%bc62_x3ns$>(9{MTCWK1yacZ{OQITBQ`SK
z9Z>4?G)eUw<1_$vuMuo(*ca835Gwc^bcazmiaxRPbc`y7i}g+sN=Bw@T3(K0Mo^||
zSl{P!-;z}2$cz=j0P=2cu0?!Kgv~SLWB`l3%i?1hOIk0mLrgDu=GWA;H=WwQn$mZ2
zt{|c8PhIUZ+vvyJ2Q1{4u0+IPjw<V5rQ>X)Ro{tFH!bdEd*Ygt{|<!hG7Z6>))sR^
zkh@7X)h{*ps7Li})xd2R*4=$rq|}L^rQT3v4q%}>-<xm6K#EX+33(U0_VE%IjH0uv
z?=Vap+Si2@EA|~pfoqlGnAU-d{DzvEJMDj76eU5JEip3AB=)UVK7{x8CN+ZailIsq
zvO^@j$h_Nn$ff_|(cV&wMrDM<j0jHC2krdO>e|OT>(yqBO&7zZ#1OMv?@UgU$)un#
z7_7tE>Ex7d7kKAx6W-qF&`>>YXCwk)Oh9`}vsr5KzDqRfq$3NP5s>O>mHun<vi#^n
zyI|_0cvxe*t6;?L{{3{&aYrw^!+M?I>Y-n>ze8!@Z>Ac<ghq6KJoSq#MiKwx2oC9i
zLnFAEnD=2vB!~-LwmRU{4`dNW6y6R#${~N9sBXL?5PU(=Di}-kx?*6GU+R1*rZBXs
z80FK>>5%UaY=8YCV*tz6<MCD?$;?6^NfWj2E8TR@v)!<cDW<Dew9kcl)J+B=3i^#d
z8`W5242bFlGWs29w;y!fC_P|gqBzTA9NA@2LLZrk186?a*8UWVwKuQV?rf?b7~%)D
zlnNNS&QKkO!lrMK^7A>19*w+DPTrC7a=Az>^%XW7fy(OltDJ4iBY$dLbllytk?#9H
z&jNTNs)C8>yfOR!BLK%FJ!d;!=qmc6#DW1bXShxke07=BilFZEuLst5(RUzK*?bHc
znXm^m+}j=1kwo=`fK{;_*a3q}e5tAiSglRj2yp~>&~>FZ>2Wi_fhB}*sbM=$W_Ftc
z@tV3<4~f8?1&IF`xL6GeB_w$P6N%|^wG>F|$Kj;w5IemIOCCpX(7I6!<b_n-I9XG7
zfUu$HRZLcjPfBufgopfoER4Qkm+u`!$x0xpN=R5(0rHTBh6%*5aKK!R%a$5_5N39{
zP}QDT2tn}kc3B8G0%~~vCtRc8E^Ey%Lkx@h-!|V`s?t+^Fzqd=x9matYMnmJ-jb$t
ze}w9%R7{tz>rwU~juLB3nJVjHDDVe@x%d2U&u{i4EaY5GPOiOU9bpvb?BFBLA31|9
zY6o7MXC*nacoQy$4C_ceC#VjCR9Ri<KV|a(EWr)*l|c}11jil>C^GmRe!LRUjLVe^
zCri>+cX2rk15)D0N9_0jWzK-VAGJz0HCIgn9r0)M&*B#mpqpdJYc>5hfZt_^*49}A
z5T88I(w_6~Ac{}{9Hc<7vB4zO-0)wr+LvAfZ{XW;S;r22qAQ<2f1Z$iv}ZLk!QCu*
zCukwz@cc53keK$&i8aRSpEa&V)@Bfba22tchTtehmExA*zQxnP!2-t3Z=1C*n3$LX
z91#XOCz99(;LYb?F<rjW0k2&HyfV*QArXs1QU{$({q$Gf!xp$Ri%7twy9wG;G}EpM
z8CgeX1K0rno7h8DItv(=Q`OG&i59O-ipnZ+!xw$FKrP7Axq7(yp6I>2Ea#^ciAcz-
zaQoEc(9qE`A-(4uA0uPju4{+k-u2W;1&lrtM3?Olwcj=NtTFlE79T)}8kx`(yvtzz
z6>#hI^hT0M^)ud^VWI!8A7m}6b1wY^4h#)fjB_Mp2OLJ&%KNK-8G_cO=dbSeoByE{
zjlIClsGtA)@i$nDz`6AEH<AIAdsr{pu+H_(>CFXf6DQw}&}%%lfcJj1i<d-9jR6a=
zDoNpeoX{_O-mj(i#O4<1I~W)E;cE=0a{fz<d@6ireG4`IBz-~phh)AhioVtzt*^Jv
z+BgLKR4qQ78qb+2I4TC_wI7c=dIx-I?QbOZ6#7RxT=ANreXIR6*u;0P-~VX|7{UHU
zwefy47$nxX=ETLAm*;5B)IKBs*va|guFUV`faVC_K)=X<6bxZH%`8M-4pPlf4e^xN
z6L)-Ze_si^W4ScFO;v(7DgLbVfH`p&w(a4xCF2t1xZjl!>Bs}M2rcNtcbrWZOT3)L
zBkJ+!_{DP%_00AI&#kl8%=_uSCwxu*8)641UX+3Ucq@NsmABCd)BE@H&6W3*kJlTX
zsy@0DdF{wPyX|uK-T-9(Ap_3nV~u&wo%|ps$^D}@#L@{e13#s4R(`%dC3V6^pEjQD
zeY_@S6iAzj1PPSxc<0_fp1z!WY|RIY)7%f8LvHyE;nU%k1ogY|-LjiGFrIO?{_VV1
zb3a`wc6B|-E8WilU)?@^=MCTN?*kA0)fnHcw#djqM^=GlZL<#^lRLvpX}q{y3nhK7
ziRtlA^1omcNyH?Ps|gykOIC#GZ)Y7z=&u$tqN*g$#(J8Bc=m79%fsTCQ)@?~98;A+
zsQbX9tyMa{LOv<!&Z0|%i>K}UDWRh0mPfGYUR{vnMM}`+HAzR>4~*!DKW%lek68(t
zh0(ckNAb34lKLG^Kyd>IQfRLhT?J*~jB+j}Q5S|X{-;NpD(8}y*K;nHJ0$)4lU5mv
zBK?vbWEu=BA$cT+#@E$Jv#qapTgyBS=Jk9}D+1V}*-L6k>#yn(-lRD~_}?r2UH;_-
zO*YSaSz<p_njzkcM}mzoyT15>Y<|#Vg8wU^i_lb*AN2u@;%5C!TCXYP@X&67Zx%90
zFh|vTQ29iv7$v%LM4}Ra*>aJ*Tw*v|CL<Kvn+)nOEF;)+Y~~>z-W@LBzAyITGz-5}
zm2i{L*W%&ze-`i3ntXoz@L*tAzjezMn1#o4(-}k0gQQl;le!mMSo?YN9VgvgUjn#U
zR#-J7tbnbh&hPuD`xvRO)Q@yFSIc+2f8nem(su@CX_qFkS2X?@yYXI<R+2!Pv(6rW
zcil2Dt6h~IXkUEFRWG%*CE#tvZ{5GE@47CT)!bT~ye@)*xv`kvKQB*9)8EWG64S$%
zSF>L4EWGsBKfaV(5}dxVq2Xf^)6YU45Tb4mk#<}z+i-OJT{Uamb^U`8=Q)pH&oylN
zJY^&{a8)5f>BR80NbnYRu$o7c`}WK+p0pwQ6mJ!W+4j<SU{LmNfct#p5;w`^!Rh5H
zQxmVuZO?~WVP|VSGETZ0V92|G7(lDtRj{%C!E@fgX~;hZ5_YEg8V91wsJ@ZGU<J>;
zGOM%oKr7FUxx;SJ%ZHxeT0Ck0gm$vmGOz&V)QLtP9xoTl5j&pQv<L$I0eU7fB6Yi!
zHF7%dzJozLjr~@|j0KY5NTnm`kCsHIjaxXS=4AQ!!_jkph_6`^Mey*iKEoe~klqWQ
zMZU*tlK3s+e}b>UKubMoQxoHdJ$>i~dvHJcP9A=#c4OmI9skswITyN;wfwwBcXMRj
za?vNO-vY^{^{f`HXe~+5yq^9{H(CF^{Tw~%QfLqu*ok=scp#H!S`0s|9P2v}C<i&4
zjCB+k@K2D<gBMrmxA&CNcV#ZgWxS70V>zBu6C*{c-tDT$Y}veHq%XL{cMNc#k7vNe
zc^^)s*{k%iou%2CFr&u>+n>HP&(@=|ms~m@G1VDty1(fZ@C-~9+s_1oR$fmD>F?k*
zH?tgSRj_qn^>-}jG1HIz_x5(Zmbz9^MrSPTje$Y;7?xv15VV_Ri~`&L?z*M^3v9Y+
zQA14mE!$@q;3-wA!xSdk(pei8ugm;a-$g48S_AjNgIha(>qgDARaz;X+HP+N?AXGE
zmbQ5mV(MII;H=CwM4xzns!(R@k38TExVncB#kP-36GdQT0eQiFu}bbb0sS3z2cES1
z$2X@w{E)z{<TSi+%Wy$)=*qq|nS}K0n51(>II#G`pdnb$)4wufQ1>;4A17qwF?F|U
zlWo^bW;#Epf_GJMHsDvrKbij&X?xn`&6jqq%oLOv=Vo=Q@4XG?X-!o58ui{p>Zx=l
zuhn}?`&T^c>hm5dvxIb_eIA{}Cj6PaHxvT`Ir>5U=SGii|23wx7)Ojj>7VYS2OudA
zMt;`hr32tGu3<;ACtvQ<s0_lsX&V@*D6r#x7t^(3O1PrfoYOYFZv7tqAkSbj>CsZ@
z*3sXxGcaoQFy^RYD1KY0G)Kmx&gxl+XZ8myfl<&rcU$rD_P|ev0{4Q6n8ziisjLrp
zhR=%$Fb3r>N{8bf0S!fKMbS-|+KnxE(D5XuG;9BTrJc*uIUGha_BW3C!9m>BZ--`a
zlBhp^U$**m`*FeiWNMNtp9hCWolQ87ZKNNcJ7&4LkQ&!iztOZ^&|t<ZN;l{zuUs2b
zhdZ#P_=MaD^VJ!?cd}aY>wx;bb*JL)K|9op<K5nmWw^|h5GKO9`;D~1?{nA;X2FV8
z<l)VvI?a2g`I3{L(M#JJRA~)9*QxkmrzMFu&JG^<d(YYU@Ab^?Z$+ooWV9uFygM8B
zIOsCUIOdSPzdv>L{Z^@VN+3>fFghS&nLAeKRZ2|Bo8uy?$JjHWl2Y<nOvda1Lu9O`
zhF8&eZv*dDc><sfjPFisfp^^M%dvl@vC#}1wCBOd;502ei5+J@!Z)mOdOL;zjEw!F
zMA11ZL8Z1+`8%jrP0zuZvYG$yH0}In3N@~z`)wlbbJXo)IJlV%lpBX2C~5~5w;oF-
zUNgpf2qaGx->bDV)bA&7A=475A^K6?5FrNZpe1hiPrYtY=LJt@a>XUhP1ml{zP=~R
zyoMg1n}!C0frjHwBkt`T$lmxIs#TneQ{x4L*EcvV&Kkah`<mwcCRJZbTH=@xY_W6q
zp>9P7uvO2a{Z+2HFbfxkT;7DeCz3#+F_XzgAD<rVHn%U7)T}=&F^ZS2?OGdxy*9D>
zkgK2H?oSJsmfuaACzDdO;P~E)Uz!qNxxeyD)n4A!Y0EbBotFmQyzIJ0{I8WJ)!Dz>
zM>}cB2~A*Bqnvuj1r7so9hj{7R<6hAp?0{^U(2id=k~uWmcC4UyrMdMapAIA9}3X_
zQZ*3%Lu=K0cPjhmBXLWYHMcJvEOP_eQx=;)myinuqW3$@apxuK5l{;O?U|-M`xiD`
zqc~@@t@XLx2Ix^LqIZ9gg6n04&u+m8_hhaqDz~~l|K(ZxvMLbHi}wKc_jBn7bOXb+
z7lI0S#y_)fION`S#5<$R&u{s?DAhhR0f2{UJQH4a&iisLP!2>zAr-XikVaEi;rx5x
zLZp^NU$%PI`b~D;C^3?i9Dp|+uJ30FnZFhJcw2i+Cs(O?IrP&#uHM+RA5=WQ+^{iQ
zbH_9CH^6xz6KpgUCU;>)>}OBRx8WZC&+^<T<2q&&>6Fp7v8K!b>zDtFrmqaks(ZdB
z1Vo94?hpxS=>|o*yGto)$(s&Qy1To(yStI@kdp3@e)sL~|9<d`7uUVd*?acPnl*D~
z(KiB}Lwk?ra>VBN2^}eA-H2jbE(N@67vcm+(*Ab_i{Q|sisjMk71|T1o+fB9?<Fj0
zZETov6tS-!`psRDmmL=TC;#Q0lvfvJg8XFqJwCV~dVNrZ7}mX%KdUG`u!~V|Oelp(
zk=WZdI0Vb|mcJQwa}P@+KkVxP2NM1)0W1M|n#=i3-@@y^Fea3~I(6#-I=wZu&SH#v
zU(FDlu-=ZjwS<TpQK-(g|FyJ6NMQ072~GEtST_nkogPsMz+;e|(ox6FH-7DMk5%=F
zi|xIFrk6g{hXnp=H)ToC&iIw#bXCGz{x<2qGDB`Jxs8Ig@#T)GTQ^Oi_a6C@0H$$O
zxizuu2m*Piw-_56W!P=B72i$x!K~iSWs%#UEYCY6<_lKp$Ur4C<bkJ+P@Yf@)d^c3
zOoxT#sg9(urgP>A%6T{E_mAb5=xGPW&;hp;Si^*tPfTLr^msKQ`PWej@B(1(-`@l*
zdd@{lq8Cz^19+0O+8iD6Oss(Pv+0azhbCXdCFe{9@4B*uk+-fpiMSOa*WT5`x~(er
zy&h8jdIu2(Wuz=icpXtAp>P{Pn#e2=Y1pggmBrJ~!}Yc3m6=UN=YK2bGea1^z4<VI
zQei3P$fd@oYCp-L^PZW7^G)Yz|0R0s*c4PX)D<89+e_lRm%m{DL%nUt(Po2$n|_wI
zav^!td?EZiKI|+)Exb+X>=9m$kOY&I1xwMnf1r->y4g}oVO&&qFnfb*?)&|xs>b$g
zo3F8^AXNbqZS#{?$+{Bwf|7@q4FA%Xd^{G}w=DRba&CtjSC37&0{%oMBRyXq)e`Qs
z*-yGT`p3hR>4ShS7%-hm!o224#Dz9~O-C9TsKB!Z)2FB3!c!b%av~V+6L$B$b(lz#
z<-&!Ahq+_^1lXDBoxiohCp2)(h35Y0xAq3OABtwjfiAUW1Yabs5g6c0n_O#|f<7TM
zzo#n#jc~?D>R+6JSeupUcacz~*EG>#2nkCX<}rjFB#oOQH+Y4dI8p1hh=yg1)}tlh
zL*RGmh8mNE#=}9>aU%hwiMzEWy^Hdvmjleu2pbIpU71%K(bSuk(U#v-jl?9W3`LiN
zUW}TQ&bqH+jAnO5dtn8j=A64j{4&^!&mBm=X0SgyeY*N1Pdz-8=xEqT(9Lm)s<&$;
zLa~_-J`P>-i-%`~0dZ6!<8FwJSpJs{fN_QgMPfjCT+x2(WcEc1ngwZ&5Jc$FcWL3e
zY>(>-DvwhXez1%@4Krf>a!Lh{e-J*8sUM#yCH@`XSoQEr{-+%*K_ES~<siUuKG(tj
zjvZZ_jef`W!wl6SL_=%!+bB2W{d)xh7naCs6#}xY$jIU#uBGTqtd(kW1Rek0QpLIw
z%Z;ou%27vg+5HL~Zw@j_vITjk-B!z`>aJu7=mW@6@Hx|B4_Vymb{C!V)=a6)pM3l5
zGR5)tbsbvS)q6@X%~q<akpuq;<<+NA5NQ79DX!d~Rb}u9vu_ctR1N=i*;JE<$0VSM
zJ+oR*pa<(KDYJEIZ-vb6wzlN^tZs(_;Ej1r#!}4n>Kga__9T+T)%$7rb>rTn@_jhe
z;%BmN#@_dB0kbm^$)DaYuAb1r%gN7WXB${gxS4XxpB)Pd7+9c<dA!vYV}5&GGaVIH
zg!wD+TWS~G0jA;FNM7m`gdj?WV3o%C-aok#2-f(yQ+7?|b2~#pYU0mx)c7%Z7B-wN
zo-F57UB7J)V$W-@L4ccEyOT)42yKehbAP>XW6lp*edFKbb_YpWN=v>5W0up7p=3pW
zaPH{-2JRc(%ZEEPgEt=-4y#IZa|y=8#6Kn6Eh-(GQPVy%>h-;4C2f&EWwp~hn+*{u
zaMxU_`HlZco35w#LfKMxp=T(uvWf~GCa1F{v18zQQs@%V70Dv}M(5v!&$Ic4>^BEv
zU~rVeJ;u)O#D_7*k|LDfqT>5#U$=wn0`yD*R4N%iv30gpHn^-Fz7RxhGwoIQ+MxF3
zqFh~wvd{^<c_|~6v-V~Z4jCG@`PFJgRwRJh+a!sw`xV#aFHiql=+xd_DZYvT3$pTX
z9-(X`pu;hJfGGbEV?-Cob71fIzB75{jMsmxhy@1g^Sos`f$dWGYQC7&GT897@O9jk
z7;EU3h2F8*2MW`{CHT?RR;GmDOoik+O??$Azpjv-(bviV#mc%BwYVpny|~bOXum`A
zXx!H8g=zs$NetakGX%q!`?kF`Z5y~K`5LaITqJ8b_WKVi^Cde#jD>=azVSY-gdHcm
zC22S}yjg|a9YNRUh6MIRTx;1)%1X5@vZsD&8m}l}2@PQ%%Hjx!r9Dd1rFUo=T_ry)
z;81rY;NU-nS{|pG_dug3mdVmDQ4MSO4s2e?LBmnc1CUe=tHKgDT$R&j`VI9cN~&NR
zzKo7-?3`b}<A7yEB#;lSgeeW26zRrBLT~E=9(2sFehtmV&GyVhTIY5!+N=Qe+ie#j
z)3KBi5reAfH*a<OzY8bT#$OBle}gDApfWAAEVJqvqx9!^Hxe&pyMb5f_qm<+75?g$
zF+W&P6thho);{CcbWO7+)fbwss=Bv?vyY9gq>{Dgf6v2L6k1{xUHp^{4NN=|4&pef
zDst;uXjj~I?scmg)qQ4S0E)%nacgyhe_w_7^?O%QR;<<jvd0ig%95f#0UxUyfi{Hs
z^gRXGOhj!b<M%C@4KBxryu{g44}lS3h+k!6nELWwp0YA;V(=)hQaN)Sp}_t5_!(K-
zqjarWp(t{Vqa;zaKUM&>rz>}%#dDnr8XO=RKhJ=Z*kaK5bb3Y{R|^9&D!($yFg5?Q
zIOoul0zZo}HwP9y;6?@<*U&^@OlJJe%BFra1lCxJY3}J7K7A+Y=2#VdYiH8JCnA5V
z#<GZ9)yR}ltY})mg1f#*6*?jr@AaHufgIu<ewb!G4hI#s+@A$sxiBz)@A{tk`VUp0
zpF1g%YHD1aDDs_@{|a6;2jpiwn4c|yumlCRP`Ii#J~@;a7#D`nCq<`8=)BXY-4ZIX
zb?L&5)Lp{7IyqBNy$M0Z8<G9?l)_!6EEO~E^8m7^y%)kz|0l0+jRfKw*PKJoaB{?e
z*{eHZwVL?U48EO}pXYeMmW&Y*iBlfRHg+~<-_?H9)k#H>HjRm0t=*Z)E*=vt@`E7j
z4I}g>OPz*=H-=&Wh@>FcO#SM*`V#f&XB-@etOK-r<E{U7r)}(X#cAOhP0w#z0%^QA
zipq47oc`;Z`_n)*Ox*RI2U`Vk2Ip>7f$C!$wX{8hgkg!pQSHy1<`rOza`9ZqtE;WB
z6@NZtK3UUc-8FAg5uDkNM){qGjUpPZigI%G+`;PJLHBQSct`L1wns>vZ7MWRVTipV
zLkB^6@7=w&*6KiAW(@=*FhD|dZ<wm0rL>{3DH|<4+eIt7uOn)<YKF6~MT`f#kb0HU
z89tmD9!N}lfmQK@xFdL=fh3ouz0tic)P<!KH9Zre5D!>Ik*#;L5hM@N1_ceKPM;Dk
z{!sq<y!aP@8#DPhrmnfqNBV9+Y9T-c^IrXfzz1s5FKVoZw)|7$AtDhfN4qaXhAmk`
z=iG=Q2MRB!J1sQSTNbdDZz}`W@wv<2jwNY2#*B@WEXZ`Yr>>@=rXfO+X{_O+cle<K
z+DLM6^A4w&h7ea_@F|wTObM?PRux12FRq53DQ^Ib-8_7y-|rYJXq?$vi!Zpe$dD=*
zxbfFn=@;9@D>1f6o@&kF+Hlf!^4ZE{TCe(*8M$24#{TtK`!f7X2K_B`Bc*=vX-G@o
zO?5~IHM;^;0WO-dt>YJkukSSyXc-Gw@vD_-Km?nb@9_40)Bn}e<Ri6ki&!jd3oAWN
z9+S@9J#(Iob2PBk6gn_~a~9?gY(rS)o1zydBFV9@s?9zIdGp;l5$$X&+C;8Q9a$NH
zciTt=)WVBVE}vo8_Z6;cB*msPW|O~OXfNV|h##DMFo0%t#R~M6!PgUe$(<?i3RvGX
zXL0!!-WtIXzz2sV^d@_iLM8%Ing-=htvyco$q^Lv517+6>97h4nFeBm4+@cE<fygC
zpJngthFgI&n1~2}h2ssJ&JCYNobd0gdp{RRS1pwyFV?@h{;Jhs+&=BThjOXVx+oV&
z4K!9YmvyET{nu2(dMr{=f1fW8@>YHN<3bQVP?+%WqMXl8?##rHfqRcxD3uCOXN?6u
z8U;1W<UfBO+*JXUx<oOMx_wKrfn|dc_KY8P+fP(2H(`n{WYhh$IWJXba@slwY+a-W
z-sRq!9QIez%gM+|4IN~ieqzUoC3D<zl@{<`J3RHy)hs*dm+|SxS#RR$@#dmKVxF#9
zD)c`Cr?2-<GB!HHX5559A9h2b0Lg783vrSzkz)_#o1SS)3vnO)0&C55H82q)J7Xkf
zguBcL1^)WCnSJIsImNWXztp7?bw4_(heHo;WQ)cbHJ6}ePiu7jN_hUn4g>%~b7>lT
zKo;Tc5-si;Lt{9r&z=38!Ff8OFbt}qkUCQl4X%^?`G>@Jg8}IXhHO8Gb&gFQy?GA+
zfOcG3#erqhS=O1wopRRs{7{zJ%%fD-Kf|C`_%%9ty>+jQy8?!s@Eilp`PZf_%*#8}
zWH%-Dnb@eqH^lb@RXmOXfGkNgzjM+L-H!GqBgaCobomVbrd^J@wXTIxj8em$?2uK9
z(E17*RTG`-uFHKA6&mLA3IE2LeaypM(^xBDyxism8QGQyHCMMQcSVsi8;Pn5V)?DE
zf9MKr(t()ixz_iN{Jo{>g{cl;A4U(CCyg&Q4-wp9*rGmiI?>GZ<O&0RXmKI1lBDke
zX9@9-8&s29rohq~b++x*D;$E^(ZKB0i&*fT?XEf9=!WAr=TPWo4p7Qxa##e_s~nU9
z^Xl$HxH8(v+$e*g_DVN7hZ4T93!Sm^4;~+2GC2Mva%E$b^g|&=5n~RrpSv+BZ3IWc
zK9BnS2j1V>)$64*S@w(*UY*#mG>sI(zF8rObceR}mwScae4w}1Z!{-?FMZl~Nu@^X
z9`<|kn3C~KsnHL{?_Mmp4JbZIa4gnY;3ka2V|eE^k>ica(=}>mj_nm>Q!CIVR;J{O
zA@ZY$1J1nbx2ZMK4m{ui;_5{O&?MxjF&z?>TVB3~J%4BfFGV~~N$p$;tM)PTlTncv
z@~YH^JxaVoexC{0L<7O@y3F8~P@umgBBy=wjl|{V;sfEUt4F5Pbh`4lG&t0|_6-Ks
zE`^AC;`+y5K#mSoPbSep-r)o)EkazGwvAE@X&AYea+>#FTp^s!;F?v+=zYKGyK#b{
z^;YQt0!!vN`P|X<jV)(dtDa#`%e>70#2}}BHP2DKKUd5kBFFr;FrP}XJ|$_CYXLG&
zq9c41vKb`>j7VC8sWI||8@420&0oZslEq2IVhme`PP{tHC2w}8fIV_Y$D3RUsm~h7
z>KnxtMQq7Vu*YqccAksY9qAqYvwORshxR6t2I3%khbWQn$C9L!v0secNKg$&1Exae
z<#90K0qm)bYFqL_fT^q)9=cBGhaKG0VttEfSnI4mHv8KZWDYz-TU5@av|zqT%zEip
z&$)_9KFzd%a;lRDcx}Hp*MG`?DI!k0uR>ft*<JvOXMd(8w}>0fa#srDG8S!WF5<Km
zQnQ>0Vob7?n;J|#4%hezDC*VbG%ogZ3-T)EYPQsJzpZx#yEj37p>532S&S7L^aoIr
z+6fe@+DRWV`)l<-9~>k6&vo=y8h@ppN5|vBtDT-yBopj}&rzB|)MZLb@4;4X@;fr}
zU;WmF1On*xLJgaQ;4^Fof<{DOOnF=^U3Cp3FJ~~GUZGZtk|Z@v=hEyZQryQ(9}$Ke
z<L@)%>%1WQme0zI*(&X~eTsxqbpK8(`|=o78$;6R|Mvo{FNVY0dhaxm)0>#znsQi_
zy|%L!Z*iYX-W@(Vr32od2VU}-NWsjH_O0S3b9yh)o89IkkOC*lL`Sb5E%KASg#Bs!
zUCTg?L)g=QRDgEBt8Jr<y5yG7qj~9nK7Z&1sTW%XA^9Ps;hP?2|E_oO;;2nn#n+NO
zLj3E9(JL3|g-)q@S{d$Wt7|BnL{aXpx}MjN8a}uCN0Eg~Ol-L~Pm9Fk*u-&!M$lng
zH$&?kRuwT@R^7I3V$a{I<81*Zei=d1g6+%!gE%`bt%UUpc}u0zPK^W*8ojdc?g?#~
zjHE#Dg@UHqa6a5|wg0P`-?2%oNdn!*XR=hoO*{Pbdsl!~X_Hd2y|`*xoRv{$i<Buf
zB+h4Fhz(n4m>7ybDRP)XLs*T~J5=|AhQ@~6xVQ#6@_bDAl4LB?9Ss3vBts!7&Kq%3
zKOiJdbAD-G4;u^%f<`Rc0Y92V-xQQomZBYIygW+W1ettv?D`dtA)B)Whi|=BZx>Ut
z+dlHGG)GJ`^4~ULkU0Fa`l)E({O>#1;c~KJ<LVDy*wNXA{LX5WG|3ar)$KsqC3{dt
z?*>=daDjIjVJEbAv^Ev_p=^j+mTDp*yew~$L61!C37Rv)f#rG~;HO_KR}y3>#e%m^
z#>)d_99b$A{*%w4oN6%0#S&!}GUH+6;eo@vYm_8T6_V2ogU55s-TnG9{HSI};PTJv
zSckW{9WejzKCnopTh@RF<I>HJ<xrlUtee-^Se+c675L*!6e$CVc6`4Ja<^2vC=8)^
z#scQ{SB<aS^>ZK<*COFiyki@+GKIRVxXcf6O3~23o5<(w@AzpSy<P3saZX5T`S3E?
ziO!dtVxtymiqHE3rVG}8rh0=Ei4qG+M@$ovECE@`Nd)z?$sEtW`>I}$p|1gV!25J@
zajNd}f8V*VbW`scZU6_C*CNa38_|yU64rtJN8*%%eH7B5%4d|4)Kmja?FC6HCwkg7
zp(@9Q)oKud@|uOQ&LP-b<9h*EmlkHDDzj5c(v%ua9c@WSQyyR+r<S&;o!?5G%2CNW
zeq_>(=yH@A#$+;}JlAwWIbcu*AuKEB!N#!0R+@6Rs*X)>w})!V-^bXBW!ABe_S(6#
z3fFW?f1%B-EWa`^Kt}tm7km#4pglqQ7QL)rlse8*!dvCD%GY?CwtIHW%o<4zqNNnO
z3`b%UdAt)%e^iTKurqHtCEx@HL;xlTsP#hh_Idq>`elO_D!1;aMNmlGD4ho)FM(~_
zr{`a;P~%ASyt}sSn|uw*aAT>Z!R1rEhj;HoD<_TmOwgWwJ27uY?paKZy#&J475X&f
z%8JtbJyaLb+`090*6W3l<AplDU@`7R&X~R}A&q67NzB|rIb-$w<~V0S0naHDUE)Bf
zDz51-(XDS-nJ^;F4Ew*KQbYf86*rf&py}_FpN~D?hViZY1s#-Pz>kzsj*hcc^{p)|
z1)(>p?5>is{5QpUB(s^zcj!uhZ5&ua|8Dj}nDN2*h^0I`>Q!XHnf+B1;-ujt(}Tvv
z$2&i3q+%X`VX^l1{;a}`ypRxmU>NwCHsugqbTySqdzAvQ#m|G3S3R&6QZsgH>lfcO
zE3bgyF8wEdX6vUTG5=rHJ3Him9<k6>$fg0O0j1-FkSQs?M{!YZ=*J@(xQvOa`f3*w
z^RQKo&6+~%d{1vhMYck$R$5_3^Z|cjWeV5-)jKULuD-VbImWKZ0uX2*-HqHcJvTWm
zdOEHFfYR0s@@j2f^N%_4@t?d->i;dLwXjSW;-U>D7gN4U-152zrW-aC&<|$Ko+GI2
zn1E7nq0o0A5?PJdKME`8eJhKxEs$5~J&tY89PUE2<TQFtN1Esf-YPlhE8>a61SY!O
zLYM2q@z<!is(?Qu^}EB4&O{(UNyIL+@gcZ>pNQ^vk;O3KdM8iQZ|beeW+=|}xAD8F
zSewkrx0N$8S_+E%T%mf@!&?On(Mr2KDH>S_n{wuPEIY>e@jX7i0vlZ-cJ%qj;1}*c
zrVXsL%z_Xa0M(XZbLmk((l>826|a5#FPl*PV$ku%M({<=$IP*P9+IK)!NNW3u!_v$
z667*tMxTc{ab`krx(mCle8@Xt8$0`9yl`c9q)LEV8uIOMB{lzx1>HVFr8XZWt-SY)
zGjn&1cDC@5N=S-R0l$+iNm?fVLByiYPoZ9c9LccmWq=(pazUnyj82MuWv>Z&rBAzO
z5YMvV>H9Bzqoz<gf<syh%7x8nWRfs#RhyIe$h{6=Ilw>{VZx;*k%1hvU<4B3Oki>u
z@Q3P*=H!aXQs;B)3FE)G{^ITLGf+_25icxLmv|`K+UuI8G=$}Ep%`tv;bfM<IK@G4
zwnT?rn~UAT0UZlVPUVQz@Et7QRwJowMRp6&*_uDssQ6L^94rsZo}jxB#mYEFN39=8
z9GK5K;379cvz0jKiiTl>k>&w34-r%$;HkpwHcu_r^~B`y@J!76<uFCYKJXG6Ty*)J
zQ)RyfQ9<heqJpX^NJ?9({U=yl6{S`147L--4no39P3jmnPT5XQIVlqNsi``(vA)TB
z(j-p82}05Dh)r0`$?@ji17x0ed0Q2lN#JbnxMlqn6NK-{RG9LdVVGHotyb4RFrDgB
zaS0vh#cvZiF(`$GR+ZSeOL}iAn2CttsJeoFSfDr4fQC0F9VdItS+3G3l_*gJ#}u8{
z;BE{E^GeL`bs#dp-XZGeM4^Iwr4$u~`{DPxzc&I*r1vl=mC-fRZ|1gfcI2gDd)8lO
zYRPsi_vfW{VhPBJh<Jk<?K)I>Z!D~svn@qInW1CyJQybI7G}wRsU=t<j}^2qOgeJR
zeCy3R-?5lB7+JYQ_walAZNh8_qRQEb?;h9Z2E-0WC@_AB<WNApS)9q)(RYk}tf92=
zC8`ab^?e3<a=-xc?Gs`FLPFvzmbaNvMRs<e{%2N3uPZLg%6g6rs!j5j_>pXx@H}TC
zyoBor(u9Cvn8B{m2_(5ie*DBdE9nPP2zrlC+TL?`Tyu`p1?4l9?J^+%-V-%NB~%8Q
za-CmXHuIxMisV!o`<KD!!K_12|2XsjRA2Pd5Cv@Bf9LVk4W+*eBkSD=qGe>IvI0%N
zdv*iITXGN*&x}*jy(j=muV}zqFmHl4OT_m0RQ&A_35Z&1XFKH0sK`>QX|wh;ja9w)
z`CIMIU+*8$h*Jcqz&$juwRdqVapx!+keqp;!<2%TuM#o$jUJQ^1yH5(h^d@=wGnqX
zL>sI%-?BxC$9QQYKhQrmwnA}<q607tEc)hZ977>rs+YggP%6Kej2sjgB_%B3e|B+O
z_%piLo+$)rgwi@H85tMqABeEc6Cq>^+&Wt^H9emgtQc*EOocu?8|0h94#t2+9+e-9
z8N+?IR{%qkx^PTS1`j^}cv@buT;dpRehE08zJ)r7XvZ@_1~NIpS@lzZ^)LmNjhRJE
zV<<pwNW=Yu$NOij)EJRLl~&`gN*<Np$+YP#5%jYV7H*G#s^bJEv#e$C=h6J#R^{P3
zBb|4h^s(I?CI2e}t&-9+FRg!Z!Em|xbGf~mPtXdIge$<YiBXWfXhwlz(i%QZ!RtU7
zG<XYBnjxZ&>F@VEb*Q<mDAJ(X$>;aDbpc^Z;?kT~D!%(`rxxOKbrCiFLMnO@7whHm
zH7j)@FKEUI+O!8Wok-(nQLNW&wcEOB9{73zgU>Nf%l+)l;9eKaenPeB`9|Ws+0nZ~
zYwjxuLYmo-?K&tQI{uzCtw?Qo#0FF=G$q(5%onppz=fYi^kA?FPTPW|puxN516vn2
z`htsVD%~wJ|Kngx2H4e-inY(O;v`%pUvofKpSJ5*VF`QVf4O~}?R5hJ5y;$m7#}~)
zeI7mP9d%4aCd?kn4y*?jmb*d=*EV@J%lke2<Q(iP#yB{4-_IEhjdj&%>BX0UA>n-*
z-m%*PcnmzyaE%u!gK*~;6@-V}kiy3|7D}JAYgQ;=XTYK3>qwd*bfZ~^!g$3b1rVKb
z#LA3sEg79PlX;=BT+@z7_<xD)j-Sc!Mx{e%eCiI#K{o|xRtS)30@%^;1P~ahdxTn8
zZ^C_}3iD``hez&|Zdd+8OQ&d7PIcN2q3xts&8A+5GE>@W>{Sk8HST`M8f87TYxzR;
z>Kv}1UPf`Xn)>2q>H{k1aszb_M^YpzyPR2(2tX$N)j7@*svj!`3=j3nIFUZewYzu3
z+I9+B=nN|?O3GRyIcOx=OocyQ`>y&4kq00;sTt&3lDPW*`KqkM?IRYrZ8lfN)`SPI
z$k8K{gKw=6MZg-w?5!MNayu}CO6cob5Vd^>ZKbL92d5_&6p}QLyU%IsP{vN7#wuCq
z(ST~Wrn$^tpB<JVZ-$kK51anEyG2ElN6H?4VObj7#G<&i!W?r1_n#(~+G?DYHH=!T
zF3U(Q#HL#x?~tBjNV?4(>7WIp=Y1!Gx87?crH(~fo=SxPxneP&;HLNeJ^`JN?pgle
zB63;a6Sy!dyaxAmO0m3LAW@@G>shh7XH@rcJI)O^LWMC^Q)1@zUzFjcFUu8KfyX-%
znp{#F8W*H#q_=_|&Eq$$V!+4r-Py+*jt~VU{~4G4ul&q~AaX$RmKZoC<sT2((&C|-
zK0-C((&C~<L;GY+ffK=%uyem##<+Kh<f%WZ8~#{8%?(C|MRD6BQM3AwhY>V}$6#FZ
zL9NDdc(R5n{N4BV|27}6JQ~p_o2xsE{{pZ~xX8+mHS8apEKsUwlFLpcQS^y&*Unb`
z%i%`jXTF6@p({>0Q1q|xC_ot2?H%PHVKIl3iXWh4si<T7sN28}o8h}2uzxmWHo+Aq
z!vl;h-YI{+fn4<oL6e&n`LCzg+IsM%C;&NFWe^*fIZrqV81`Pc63cK`;+TOwv!d5k
zI|GQHPV$%`mFj@!4-vA!uXOX~eaHSWH95?gI9i4akOZ0ZJZj-{lhSKx@y<lCDp(){
z4JAdsJo}z&2JB@hC@#7qp?UDQF}<`~_g_PUvd;P$1g1EnVrVN1Koo*Ekwp_L*q`;3
zX%~JQ%u55`2)zd($%hKK4RFvhl(HG(nFOnyihy4Ks_5D}<_SfVc^2q_G%Hj7+T*k`
zDW<itZA^4{%l-EGBj*h@V5D{%<jDa%p$6m}YRfAaco0zlKie8Axg`S{`fvNbW;D?F
zY}*&1zoSqs_i7-R|3{{ZQx=?Qwb+XY=t=))cx`tfpan-wlM5Dl4Jea51X@rHraWZ!
zIE3#Y;(0hkubox^{(1EJH)qJj)5gvufg-D|u5`@)4zC|*<ru;w%M0!ppwSS@2=f6S
z-IR3h_~SF?PGh38GV5;I%CH_0Xe<%X;L@R%+jBdA)i9>sHUi#que;;W@BJLJ#TUIz
z4EP&j6n(1Xd+sHFt(I3noi@)K^h1h?3HI#{ezDi}HfH+*E;TC<*!7qGlYbf-+qNhn
zeJ7yT2ee!Jsy=CV>Y@I;%RksDVE0u)Y(F5@499DZZOhc=N0p*W18tc{pce|--BnrO
zBNE#FAkM}5#Y@WRloQnBT%kIqDwQ&KvK@^uZ`!+mUPKifmdQ{RY6%_up&Ev?rdS@U
z>OqA}#Xuh`oD&Y0`go8s(e(Ehg~Z@*icMo>F~7}AKBx7ric-ePfzI1HP`)VBjWXFD
z(YTd~(RzPEzITuD*jQYH0*XI!n$Ky{?_0_mTsn0C(ke7Fq3bD16d#dkkABJoEk@!Z
zTbCN$pY1+i0-kkZreG39$)zdT9GZoM&+Q0FI_1at4YB~IIF+>70jfiD%r?aL8w|TW
z=LA)s^r23_d;<$3lFoL@0Ly8sJA~=@&@7boZDvz5t0SX%;N%Q8tu<i<S+32^?Z4fV
zy1QO}xuXS>eo#@SoJ)`+OrSBB$X!KRezsB?_|=X<>NE(Z_G3J%t|aHpbaV)@V%=}y
zk_(uHW&gdUm19+R5J)>+Z<>gm1mW^9GT!W)8Yfe$4`7>ujxR?;JXVH}As3o=h~UB`
z0I&txnhg(+|0&*Qy(z7W9Ktyz;2dEt?zh;>6}pkK$&QlBc~LHrD5D!;5ufv~HBjhF
z#z{Z7P(JgGb=`@a%fG`Se=gTYcY?=8>tY6}+5|?N415?12#%oS7}UJ~erMQnO<)e1
z^oP-plSjaPEql${-Z;DIEh5K+b7p^h_;()7;+UMzAq|2dNj16WKcE=mQ<g_)trKZ7
z81mJ{V-?0vo51!d+49)&5MM15`0>3mW(Z5)s@^hxJKIP09BM{ZkH0$ppx)inojdN4
zgmGi>kKmRT*>btFYc(iGI_2@Z_|v1B__3(3#R1ixNIEyt-9ShZN>Z^%8iUr>EpAXB
z4!Xu~r6)|B(@+-tI|pmCy%(7tP12OO+Nw46mV%YUiXg@3w_%9dv35eC@lNE`vS{AV
zjPcLP@*WGls7pb=4=f3i_MrR_RVyFSH+%-`vLw~~*HucoV$yGO`=q2e4aEf|PgXku
zNvWs&F<U5TFpwKclB3s~wnJ<3!?<m2VBOGt^q;+-1mc~c8|%EDcjNzUbPe_j+Ek(n
z<*TH6_yAhp`AJLBIq7)fq;oI7%+0?9-CLNK4b7G8Fzho3iEG3>3vWf}!p2#2_=O}v
zF=IPbd|jQdHAIpQx@`VC(ra7LMXk<cox!5z898!oaH0Pu`JULrZO0im10ZNj3+~Iq
z_Z67rTg>eHDl58)pvXcNe>07R923=I^;hgE5fo}c-W+Mh#OExKKx9zE{>fArSgX0{
zCqbrtx@VMRyeY0rCG<~GuQHV}BB!SDQNL|xLF?w2e0G}SI0+BogJ^A`Rwt8GpD`i}
z>5|<z{Eptw8Wma2W)0Nff*=l(*~LmPtkH;PYJjj?K$$A95VY>S|I|AQh`WHF9469^
z7J>d69BiC*-SfJZL`?(D0XdieX4+AsjFh0;KURs&I!t4HlYWkQFwm10JjVh)`N%i`
zq&~2(s=ZegK@|%lyOC+vScC!x6l)s4D0<xfJjL$wOtrL*2Km*1gCXi$&i=1FxqyaU
zAsFqBEX>TO8cJ~}JZY9*^$dDi<_GPSHsI>p;S%TnQu*VD6Y9Vr`c9jM1%A^#scqTA
zlFa<<y$EP*W!ARGGZ+yMN?sYoXiBzd4Ux$CGK1&=np@MhG}sbep7Pw;@$my}n-_if
zOAQ6+fU<Y<#+pPF_H-<caqnpqx*Ng$g#$*#A0ovMZsY*>%UcrAzu9PFn{=o3Jdcht
z_x{Us@Zmb6fg}GL3Z>GzBTb*~KNT-vLEm1<o`Nz*Bo^|$ZrQHcyY%hjFZg-j_PXAf
zht>qhq;ydxcLEQf$pY4+?FR|kh&%>rsAnBxHF86G=FQk?AQ`Q4Bru!Jg0|W5nc%4u
zXz`D6+uqP%Ra*ae*pkfpf)(gM^T2~%kF5)Rge<7BqUs_OXCF9G&|sYsFlk3*RcD%j
z)@C)haIduF;~+P@!~hxH+4o;gU^ieG&&XF~wQS!iD}#Qw%H}lha%Ua$u{Zxc6fot;
z2?2i>!e(gjF)!{Qo&z-R$3CxPiitf%gZ3egWOb1oDI@=}?o$pidCX`GAtJn-(?;GO
zm^`XwhM*?gd0wY+dpyid{6M;(E1=g)MWL+Xv}@cU_D;u$*Gmp=2JA3{-sWc1Ep5u=
zpJg5C(=**6J{e|SK8!^2$c*9K3+0mZc=BEPN9EwpE@TUt@_4*WK>-rI`{TOs*JM7t
z?<gT$%rdcF`N0E)tQ9qkLw>iC?uMorsq3EcPn}14e$*7o19hFZ9VES@_NM)TFE}C<
z^V)zpfkuRoqly-giX4F`6)kJ}jsk1&gXt&KIYtX3F$$HZ=;DfNaVWV`{0o%VolD;E
zU1~9Sq5ps(G>6w&RhAzpj~0onW}(N~De6Vtu6^GPrQhsM440axSM@~3mh)0Sp6?ij
zgsqTVedax|kUJ-jEHrfbglb_DdlgWz<5blsbjC!HC<C@v=6jNNH^{^fcsC7eT^Lch
zcd9S{_&Ex{rBHff-9#_vw5x2e2E>oYW<>%<1+J1B=~?9fc|6A;Ih96t0Bh*{=5_$y
zl0XY6%~B}MU_L=$f-@_U&RfPBq}T>(sw;BidP^tHb@^(QOk95@1`Qaoyf3HidL5T%
z7J}G!t?d*M{@~q~sk({)3j3C$x*fmQy<nK%9q(I*eKUhpwb<qbg!p<Ne3Mj<nyKC&
zBElW(u3e+zb52g`4j3@o8`u3=>GkSo%JE$zvTj1GnT4@ih)bw(^<1fo&_d@yYp?{h
zZ`+v&wI=)4W{@aqNdf`AP-dcU<yxN2t`i^>T0`VTj1~c}`_99+`C9|oS6^Y}0uU;A
zAWkh0%~~RT(LQN$T4g#q`g&EJ=sP4Y$lBAPRhw?CNIGbh=vl}OLQ12q`sexC!&=o*
z9g<&t<J64&<_+?Hu~fDnL{O>-giWzSq%dDNB4SSyI9~o?)z2rHp0Mq+jrbvoEyl?~
z7vcSi>5@DEMdUw}7ns5lO+|bTadNJuM`>$hswBLrtIbUoZeTv5XU_gA7_{dofBZQ8
zINkb3V`cUJGKOcnC{Zn?)7u+`ZBny;{8!6@|4EE3rG5SEva>C9cUMnV$7>^RmPuO2
zZ7mnOpLwx=-DvKOEPZ*g!VjvF<p+%1VHEI7CKid9RVnYjhun&sOm7`+;%I4zp73-S
z6(lI-+@vYx{uI}-%BeOQ)vs|{5h}>^vB!mhZ$7WfAhz+%AyBf*C{zxoCEF4G@C2lu
z>%QgfjPUZ~DtxFCnoGJGW+T9(M$?b;MoAK&%D73>DvUPIyG(sh;|Vmaab3x86u^L?
z9x&!&m`x%gi>noiwoHwApm0BD*}hwf1`=g4$+X^sK;JyI)xd8|$Sh9^&R<?p%6Jq~
zTY8S(<h~M^7=r$Rvr6pjn8;{ENs^A%&S5MoaoGhvhda#SI4iLz)$?!AH3h*+aqYos
z>R`irmUpLc1UrzBu@oWM6Fq+ETv30>U`EJoSkSfL&`b+VgjoCvzqW<74o&}UaL$D*
zjd~0Xl85U-rSi5tH_Hpw?fFEirpub4w)$A9$;9&!uqV2{ar)yPb1+e}s}7|lf^<|~
zIUaLaZ^!as-Yp!>-_ndmEiG9Es#caX>RZf}4_F#WaD{n(h$~3On9j{tv+xu(TN^YT
zl6(*?wt2wQb<zG-F$V|ZSNU-FrBwHsfG6-Ms#PpXKI%KHxG9N{F8!KPp{B7;?Q0`n
zgN}Si>U-rs;2)KbpvQ&Q1#{BgbFf-DA5HWb>;Rm_tS-4l`_ld8<z`-?iPnTdIn1lL
zHI^m=+jNR@70P0_+Uq`Pa6ps6aLf^+LGWUK7?LtC<WgpCe&k8?alV^<Oi^2NP^8|3
z_g*#(oh|bUH@U4J*cYObji&6!Zyij{Qk5=p5Oz##NX8lvv^S04^^m3uCq~xMqBQg@
z=Q!}n8MY}IQL%(!{W^NH%8-aE^{CNYQ6yu-TQ$rF^LUBta_=zrUqr3YOwyIQ5i3&;
zI)Wbg>(Nx4>H9bpQl9yMnh$+$3Kp}^S{63EJj#`@AI3B;TDdH)Lfd0!TC0-Q_*}+H
zGMEHPl}tyH^S%h_|Ma$0JA_<@A+R}|C7W8f7Pg<13~w*Q*WC4mvzfpud{A5aR<d<p
zn^PF2B2X(~lP)B?;jd+&0p$O_N1K?9jdXJ%@kLqBB@qcFcUDADr_8`;7R{gR9zuUm
zJB;w~kFe$mL8<1mp|0m<GAj-lj8W;#f$7()rW46FQ{&6B)j_slxTam%YKP9iYWC6|
zp=m;(<-Tv$+q4x!$H-Haez?c#)CyPXHMz~jI0|kbb!Y5Bk#WkJgdNbz4%GjX&K}%$
z;iGuUBL+@Y`hx!M+R^6u6EF-Wp@f~fKz__L+C5vzrj2GH#f*gGPd=6BB{Q>eOjfIo
z3Xur{c6pWUF_!`)Yj+idge@U2UXn*+N<A4g3r{k$5lfqJuyZf!-C}4yCg&`)M*G61
z$B}B6iK;sE!fg3or!_n^WXm?+h~LT8MOnwq#5>$@AhBW-o~vi)K&0;SfO;xt44mV_
zP4QNbC-WYqBpu^<;S(bc9lBCDTwj;gULc8;Yi48h$yR94BFEx4EAhOIu6bJo<_LIV
zLkA_<M8S$0t^DcO;gf^v11<Z=lH1ri)#G3LSNe1Nj`<RCn26q8cDJ(9;9|>H-L)z8
z>H-sMbP8IP7i#{XM~i;v_&c!LaW$}7Ma{jT!I08JCQMK2nq~m<hTO*e)U7OK{;d=a
zB=|8buH6i`SJ!|zByuc;OV>ug$$V{)Ueze=7m{_F(ELF}YXi_W{3yU8uiZuBnwh(~
zOYcf0nJ0Np8aI;7dKVq$<w2x=1Lsm)QNFJ0cp!r#+Rn6Res!y-%-0I$$_nXD?FGRO
zSe*UHH+6#S-YPV=ylulw6yK%-qOa-mQHApn>V&;GEs1BDM7VUn`6<oHVu)kzvba>g
zs%aYR&cWhWs%tf0?bg9dwM0rR89DqsZZR>W-t5{{SVyqaSgv;6zG5;s!e99Ry#Q7#
zQ-!nF^9sREQi~MDrFJ7un)gNg&C0OPOh@Ku#g%UaCEvhHw0AL_a)RSkbIdhr&lOx@
ziNU#d=(C-2ST4at)Pa2^p$*Xqx3N*a=zQB`6(D^rq_Wd4SFZz7-uVbTLQx;cIq)@T
znk)2Xag?zyh#9@6EJt%1UgzjqxXHA8*rxMl2XawsU98c)^88ru)j(q(`8fx8QkM+_
zhz{Silf_&cX|0o3w7^8DjPRtj=21lU(fOeoPg^_P=d=j{^^??w0N5PK-#E^5tKX7J
zs^umLTBC{Iwl>!3<dd>(4_I5mV58An*&NMA^DRx22yFD_rbd-b=*~URvH83~XAgoq
zp{x=swz*3Pd9;y)m83(zyFBi#CZNPg_^_fV-|l6Wo`f!TFSkljOb_ffnGFX|%nvv<
zf7dT*T4-W5`2t0=VF}le9&Fi=LVrJXDgo+jacp`195OG~lpO`w5dGiS&O#2|3{)xQ
zh58Vb<I4;XAVQDvVI-omkmco1EazS`l015z)(NS8c+OZVw;EKj9MBBS>fqy1Tj7@#
zT@8(DErBTY#!%>1ID;s4+4x$9eOybRx><Mp*!(0}7%QsnZT>}Z)24l@ZyP>=s1M$|
z7i#-KF1+(3%5L()M*_CB;+XpZl+zQ@3a0E#d{OkCr5;*+w~d&0m7Wi0saPbO-WY?=
za3@uW?dJ65aSo|DU<-$X+<6}x%#yg0!J`tF)(YhH*OC2d8++SSX&!y}r#9mXDMa2|
z@hdjMYGC~}P%UfKrW)N#b#ONh9OL!$dq4{$O^|Uz6P@{c4qJOeJdwP~L~uc{a$Bh{
zVX}3DVyFa+l6+i>L;#uOFtD(czU&bw>pF?d%#x5575j^6+7}0X7s{6>CC@%@?r3&>
zbYZ<?mbBSV-NN6Kt=;CmO0Yw4PdSCfPcbd6`@vUxTl*=9jOA6bi%OqfE?>C|tzqYz
zc<ABwXu8>lT5haSl^&&T*@ujATPMktFl~zKkbl|$+uuH0*3Nm;{I+k`YkRNSVJSiv
z*dD$L<#FM*f=VX5z+$aXR@eZHVI@KBP?B~`KzaUaB=WcC)g8@Fj}($?ajG6`gN|(9
zU6)$SE<2G7R2JPZ?>6bJ7Ckb?Z6?JqB%h0v*6JOHXFi3g1%ID=_o`*@CXy_M9`m*)
zXIz@@AeFzEA;UP><f|C1Zz1eLM(x|8{`z_|8}Vlqv*XCKwk*E#m9)r?Z!cc8z=-up
zx$zmg=GICtX*b`Y>rqIu3@%e8+8mUHw?+j1=K~k3kFYvyoyJIWh9gN9@6Zs$SK3oP
z6`q{O!*(kOYY<X$Ikam1XeOTAWa!b>k1s&8>8=8CKinHZ@Mrk<Xw|NdD3WtSyHimn
z*K*f9V)<jVbK2&^qTwhXoGPRAtoNp;n$fPx5qgX-KlL8XU2a-HOyBVbzyXEF(~_F|
z5A}L4A#~HY1YaXVqn>0Tx)=G9XsGW*ZWY&cuTn8_Vjp~s+TWR(pKMXIPZajc%xoml
z+NGfMA(7jNY^0^RUq$Gx+V^m?q!~R+8$Xrr#uYcS;t*A-WxqQOTQlZLC#N|>mQ*hq
z$7zmYw{Z$w<%J{-`J&_?8dYm_?KkE*36LGDJPi0OXIEY0x~#U_n%bBEBYV$ewPO3o
zF`a2u4x#-`GV|FcyW}?S_-Ve|p$knWVVUWa$>Malv_ZJfT~*2I#K<rQt9aO9F{SVo
zV!<JtM7x5vNVt{FfspqI+F-L3#A5@J81!1RP!Zd?e`jdvdk~~mefFU>$Np|y&_ql@
zIxMwlL3uX}c7ST7@<-ajOj)TL@Ag&c1)-?X(J1Sa&Hh+%G8?V|EP&7Cj7^4Vbw7A7
zg{A$o&a%xL$EEJ-hTMsEH_;@Tm;cY}+6LwvP}&QxY4(rNO{|TiN(nW?Q0wsj-rLhX
zTEyJn6)HP?9{A&-CUn=+HX`E3Fa>NZ+aQ#w-6fF!L`t%lYIK)x4u7v<fy!0disz>;
zdB3B`hO3Esvz}+G^!0$xJVjNLsNe<T<L+i=2!h53VEz)t8eLPtjJmFEg`ZX`McNzl
zBxhI25AJ=A8(nS0;9i`|hv7JvP9!C(4a|GR&J=q5QHjOdvk6PiD=HLCe1-PG$J{D>
zZ^8=6A)|Qw<d;}!)m_N(-Cy11K$TNyKybFODT~CkFn0Wz)B9)|kIkc{qM8RbT}4es
z9p!_d*@+~sYke)~Fp*M}6pD%d3t2fERA<A|{hZP9+CZ3+zZjh40XT0G-t*c1Rs9Rj
zfvM7_KbzrplP^M~!?3}l86PmmO{g1<Ot#sZ#30sO&fAgjRU3V2PlW0Ck6+%EX}ZkR
zss84`Y3M<&Pp|m@+{G01*$mWIbc)7$+$e$I=B<<`4bO-~QL<)<XsmG(Tk((1DQ|vA
z0biymgp9D@S8{|ycno;DtHD3u={&QcPp3(Lw7gc@&guA7-pwIHR4;a9<@`|IalAi0
zfBtodmJ=RO+vCY7`+HA$fdGWRPD;)*^rd%V08}qTp>c<)>ghagAYEF`+wm1gp(Ki)
zfM8eZPx)E!fs4SJ2W)PwqNKBYF$gl4#KGDmG8yv}EW><d@zJ;tS0%2fCZO2SM|f%#
zYp%L^srKlKi9|pp+>_Cwt@x*#XSN@rjd#2u3OL{d_EHkX*8h&D!&+D1Q3t3c%cWdD
zu%grNKYS!A6XYIz1K0SD?{!PDb!y?puDJ0PvZVdp7zm6GLoCX*8C5a#E-*$k^i~!}
zlhNg*D)NT`_Tv>Lk5#yJPXW=B-zN)%nNRf`?LUwNLWXvg2z2R+gPwx1kwSLHnWnxE
zDXGdJe^W<;aTLLH6`anD*W$%F(TA^a)vV$gwDA&2zu6S`!RyEg?kTCOcQRi(&|O?&
z*-fxW%lShI<jY6x4((sXv}BNZ)_9y#AlM1x{?8Q0VlE+3kKQ>^ZT9)Ge;q-V$J_S3
zi^+TWzd%iaE3M?Z<2|Kz#rY?S19wS?{v-XdAl=JQx*oU_W3KTyX3w@9oT?p)D<THj
zC}Qy>wzmbF^uz3?VhUmQm*y}TG;zP;cI3c@sZe@OpJXdaq7N)KV+TJ-5eZJE`ut~4
zil7HW05svtNZguh?e*)gQS}awiZ#W`2h8(JoB#q0vx+nAI_G0F4?UbH7sMg(<oK{U
z;O=vC?npDV4_{?cn}hIZsvd{8H|nU&4lzO2Wq}!xbmRNt`b9kXnwYn!xlm|u*P`iS
zvpwfm@*JV+ON3RB91JAXORusH@`zXEn|mkuM5+jsYFyAuIV>My;@lVR!{H}3nASdC
zF}40$E__UdPkV+8?a$d=W>`LOH619+Mw1wpLA{WLgBYec@2~9B&HybCuL&eW996BN
ztRiKCb1Fi*qO79wSI%#pXsw<0(~7TcDg5|ZZV^_u=kP52PGktGbta`GgYTF(xF=f{
zsCWxag6M{Wsi_!X5){;29rf$e7F~9CVU2PbtD5v!+_*e0cXGwHwSDR{J13;8<zrY(
zC3a8<T4g6UI&mQ(Dr}`1_NK94k4rFPu@$Eg-lM54PGQVQGwLo@)@z^jWVDi6MIVwG
zjbNQ0P9<%uWoeg@PQ-rx3GkSA33%{=+P8WC6JRSYWy|{%+0b%%={!f9ND}2Vu&7R1
ztsAz$gtb(*a_>}J`MZFPi(FdP-3KyL%BG5~Nq5j9D|Qlbn7BXpC|sUs49i$TH*<!Q
z`wEf!7Cyp@pB{X1C_R2C$o?yQf~0DZ+|aA!t7tZ7i&qDRNu)ht>;Z_qHYF;{e7b!p
zZw%$)57#8<$o8p>dj)4kUlv)rR_>c%)33iR2Y}kSYs%u@ttPuxJhLt>`+omu_#MR_
zf{UwOpLJvk9yUZThRZM?{PKu;z&1Px{B}XH(>Rg^tu$q0UxjrefAAWnHD#wYWg$C?
zW9^5zz+WA(5wb|~Q5{80plLQMPg<P2H*bkR=xf@4!o9DOxO>$S@6{|*_u#zHgB-;p
zsb&*7F&Gs_v~N5m{m5&r7PzAt^Ht2uK<5q2hq6<Cv!#PnSHb1Xx-!^yT;ixpZOKr(
z6q*{YJN^}k?GmwVB_GJ`Rd3Q!3Q$Ija0D+(Ku8@AG=6@S1Md$wqmm>u(Il-y(+qZ)
zXu4y~pGy>jd~Qn=<_Dx_W)PK0r@=N#o+YD0&OuA{WjE2lpl@%my=YJ22BeY4i}>Og
z?wrK1_CqM2c`1+`FDa)<18>N1+}KNU)Cg(^lGFy5Xbi6hi)7W1j4hi>rkGq(?WU>5
zog~{x6P@cVGsN|>#QWAtom<3<cA0({`66>v!P$KB&1PgXEo>Nw&DR<%j%Kl^bSnwj
z88T0!gizYxpYjwX>g6=;eVma+H#ZMtW+Zz7V;32VZ5{m8!aiSbX|41P6MvBOB6apr
zl}UYxRosXmk6yA7FIB!aGBaI&4^?smN1A(Ibf{aD&>KUnDo*O?0J^*YV*Prwp61J9
zd9ghw^DYiLZQxF4Wfgxhsde#a_N7r5Q?c$CNq&0T*uUW^O4v|0cB!PxM^w?&%ZY-y
zCH~;F7f4m}M?t0Zh~?-g#9UuoW+huFJY3RMR;}5nMqBL-PoC!F!Fh|CX0`k*se)OB
zti2PYDD#cL4T?M~Fqv0s48Qjj<c0m4HhHJ9yf)X;j1)DZAw}5H)3J94G1G4f1#Zi&
z;yL^&NuoyH3?5v}6Gv^<4!a)NO~1M2%MFtoJvkhk$@#$|iR&!SeM6*WHz+qa5;tQh
zS#7LBn<zD?CRr4<MRv6q%HG;jzMu>@7~OI1Z4!&aqCp6QLXLTJxxZ?Cv^<x+<BLJ%
z*EGuRfhpw);ilX(*e{pus~b$>9IP31wX%~*HbNVm`lx9y;ki_nz#9|bXf9@(Z{1jw
zEPR$h7#j$85?hae6F#Ou!Kv)2AB$NOIl&Sopf)=e&k{^IO5h|=sH3N;=kV7?%*<N{
zjhx0&T!3UZX#az{4gh_%j!+F<AnB$h=TquB-e1bQRiHfRv&Ks~^=4uEwn;XvTsvPk
z%qm`1cWc}ENGbu%rA;ojhj04@-;CZW2LYa=td!493G*7YJ_hjcjosC1Ah#E=l^3Y|
zLBUd-=3I5)|8-fJ-J0eg$1229M@fcNk$@;(Rj03qipt1JxX-!j+-OVk+{idOyi_)I
zdBMnMNh@(Rx^=pJR%=j7%tnT*>O3aJ#Q462>2^LzaLTgX@#^zknz_bXf<dh*KDOI&
zjPwgg)5T(Wo>}&Gk&(|0m?C{6Yp54!n-k@o9px=gB`O$;!vpvdGpWe8{h8weF!+q)
zT0rvkKmj7`ucRw2+UI%mYwLZGBxlhUBp@NDp+s*+cdkWXD$`g4urKDn7Z_a+kc7oY
zSUi}KceTmu^TxqEIPqCRf=vlKqwRqK8qM^QGwE4oT5=v(f^v=77gV8pQHvDqir~Tn
z?4s-|7>o3H&ZlAzyH(!?IdkgghkB(zs%fnHK_+50x4X0m>}W-q*&d^oA0>fQ`AZEU
zXV|oNL{@*B9}PWxC-eu|5W^pzFb2ib-C^DbJ`}dYB6SVnjm0GPJ1b@4IY;ZQG4=MX
z)@IKT#Ye&e!~XDSeZ(c2i?i?$eVwz<t5G`lq?5Y$-VZCbhWQE!X5dxZ^jd~`dz|`c
zxn+D+RmT$TW()a2Y7UJjyN`|U;1+k-_s)zjl?h)eHS)SYCcS`zMSz0^gO~>{svd?g
zLp0vw$82)%?+>j-rE)=NQ+p-7;x_fO7}4=Ya(TdP<f_@C{Ct|JOe2(A?!bpwm6!eZ
zk?$B8!K_~eN~MO)gj;t(96UUF!caO=`Eln8Cv%)D-92LjsWFu)eK_+w={&<h3o5EX
z3#_K*W;SBvzApUisHmv#Lb!jbR{527*I3vx9}nsKXF|J0(oxi;7CAdld?Z!$^p3R~
zzJ1oTx3{MxMzil3!zw$#1tT%BZC09UtE;P{VcXApvP6T2q@<-&!C3M<fvHNFj1%d*
zd>N!jgeL|w&ph7*2AXttI~R7sD?RtK-Z7c}DB9fI+%_zE{>qZvTq?|0KVNZ@L4UKk
zOdHJMW`@+&*W+0}(M4=NMiBQ;6y~S#)`BsI*F*H>*p|j$`$7nwfGkt&@nUUpJ{a?u
zls99oSashjd?O%9HstW%t@YVPuW|^>-GTn|V&tC2dso5q@f5ou+HEkJFyLsuGTR`$
zx6u;JC4WMAjT-|-N~eLL%?{fbAtS_8_Y-8%fyY_D9VMrz{|dYh1hca*!CYd)vI9LZ
zVYoeQ&pCn=3=h|jyqv+3<Nm!on#?7X2>nmxJQ)|2$-)h8otJXM4lvP!CpYb+FJI_I
zU(P~bm?q76!z_vu%m(-3!+!PHF4G@PTXx{7ILU>}r1SR}`ZIBR&aAmDEe~F$wbCjb
z{r6MyLamg9p-!@32zGYPjWKVUOd`+{aid&u8)4~pFRHD*x=#$F8Fy#B@<+x-LDW||
z=iJ$3BY7=mvp1Qmym|Jwb8jmDS!dEXF$^i2%j@aEp6c=cvG<l?QFd+P?<l3D3IdW!
zN`rKxA~1wVNT(nOLwAP=D9s>UDnoZSgCgBSN+Ts5LrCv6KF|Ap{~!DRWgo}pi}x+#
zTr19X=DN-w=!$sU3wo;0ce_YXipr_{7fBaD1F|=mw))`5i45qR|NL|T$Nztzb@FQe
z3$3GB8FYbkab>JkgNCmk);zx|cfLR5>kxo?{h%BHD;}ezAHg@QjCVshAeU*o+vQHO
zdBpnXL-5H)ep)4#2WHRU8467Iwv(fn<BF>FncDej<yoq0YP?2rRsEl#dNF@5F*v=8
zKF#3mXv$dE2`K07kT5GgdMid8q2liD{w*)>&u!@R6Iz0ftuK75x1s&X#DGHZfA-UA
z&Yw&S`DNA~cAr%&${C5MAAVPL_BE7lN;)ht6(EQV7DNU*0i_P``Fy(^)2M~)X8!*D
zDH{>UY24EEV-4LrLh0Os;AiSjGzUF4^<e&7>v&+Vyj-yhzo}FzJbxZk3FI^wKF79h
z099fhQ`m?(q%iCAZEtUPx0x(kT;MJIW*9pr5<+A{BPv!}^ITENFX!of>uK<sG;Al)
z$wU01f0^-`;1m-<wqs`8yQQKvb1{hd9Oxl_fgx}?(yZY?37Bx?&}W4u4eYOs!A*-L
z5$Z_3&8g{WOPrwZ)@FTjKz2E_OPaF3ehs{a#hC!a)yRe4^=3yB5u6zNW}rKdZiV><
zoLQ-d*>{N2xduUt`Ltc$(NNB>we{T0t2zV)v!H_B#N3=8Dn}(%kukQ*0Jbd#+jjTz
z^3nt7q<OJPv3J_$;!&pZ)T&Vfx!Xe=^wJ|H`1RYO<V@L&Crb55+8FxDQZ$7vJRMa%
z2(5A~*|P-m7;mRAZURk7zc3;BR_TkY=V`aaQc_dx6J26KJJgOyYX1?-aY-;y{-Wy5
ztBW=1-2{QHK&*Ash|??ZTjWD1@^3qj7ppyTqo8oW*2?OaY4PP6;P6lg+fKQh$du-)
zRBAKCdaUvIpY|qtXG&k}wWY&%ic3q8&rq{)zea%X(~XRb+`lT#HjL#E31N;DmS5|2
z`-2(3%)4`@C>-cg_oe!k4c;=|@#e+zRP);X9p`(tX&iZF6e4DQaUDtGV5KQo?tN0p
z^1XaPVOaGFWex487Pj-ryS^~t^(cfV?p$vMQy7Wx6FoA+zW3>;Kas#?g1+4+T^KUK
z%PR=?PfoB<zctU1<oC_q-IHtXBL{0;-Ct=}Xe;gIdr_uf0K=zMv|cMqmQ;kcnLo>A
zP$Evq&)U;BJl|i6A%|Fg*-M<K$x^S~!*9X?P1NIr?Pfe?O^|;{I@i#bW*dvPaGUE>
zY9X7CiVeo_u&}TaO6M<>u|(8DG&5CJah`kM@r-HSlyl|#TNde6TU%czS6R7vEd=6?
z1L)`ahwrPb_dd0`o0HwY?|PW2+Q>lRKq!v#aB`8d4K+Ibn~baR$9Ay%p;c48aZmJi
zz(uQHdgi;ht@tS4m)|0tZ{y6}bickl*`@33jYJ6Mcd8PW8)N~B-8f-6A<HMeRR?-M
zJQBJs|KAF!t0ldFLFc>+D5U3JNY5&c1Gz`EZ5^>$XlrrAGMGJ?t#s2fF>*rFycwSR
z18y=ICddKNDrgk71?FU=Jqx5TOE?R*EC65cMpTo=XOYUJ3rhr(>Jf%6n%)_os?Da8
zO5SMO=A9C#6%Y^*Ni=YRs`&a|QWRCs!w(|?>y_ltILhsX)FP!&lg|t>m>$csN4B}o
zB*`NLPLxiYX=5_+U6BK?tDrm7)|iJHv^|7TR+f~M=tjj|L_Va8rl+wHHS4<pBQfrl
zeu4VZ`{u_3DE&*xtK2JotC5*9>oIm?RaI3Nz^`nUM%lX4tZkj|BCn&dxWLLrI}lO_
z{?B7?*yg?$Cyx*UkFBSTnZUP04!Bl92dJI?J@z@6t3?Fct}hKCZdMQ%fY|N$rYSHf
zwhv_RacC9Q$)NV(ehpS5Ih|*Nxhl?W0AG0z?gQ_`$RQ)(R<3%^(QB0$oYqwz!+~+x
z-fooG4)giWXJdZgC=S*-<yLS-I{v;6@6-&>%9@+Z75mRiv58@pdfU2x`$}XeVA3Zs
zC@#_SMpboCE!~!ci7uK%<Ow6oocH|soMNY=-=p<YApWN^y+b*ool=KG&(ARsH&^&T
z?Rd*`)Hq;RsjN5N0Z(n^vswP%r<SFQkVkNyD0u>nAwOB_Olk{nl&kosF&6QSB9i%5
zUuEXDKj+j&dDpiri5Qa7Qbb`OoF)=<{<0_|z^`(%M)YP4<<!GQa#WC|rKR%>R*nEW
z!U`p7Mgt`kgwYPn{kzh$l$9<^9g%}XM^ipxA(58i5t`gKp~F3$gWz=}U-6ZZ@`tn`
zJ(uc>HhAWAqAk2&@>Ym{2aT#^p*;!bX5ghSohq$Oy@!NU^Ptl<W+YXBr1$&a;6M)g
z6pZA+_hfcLXtJWp%8tL|LKa?Bt$mdKvXMdQFEbAAUutzay0(rgS~*7fnzp=uYku04
zez2z#Lmsr^mtR(c^(2bMIN)8}41dah)?9n<P2W!AZc7kQh}-a<;%a9mN$DXcsZ9I8
zYORhWOO4A=Q#cU!0w%yL`mU#M5h1$La=t@-V4{?|Dl~{riQt24W|`-nY5|)=3$Pkh
zCRL@~oo16dHEr)!ez;K<`&=lKJ~FP=kfI|%y)6T$Y}`%8B6f)Y?1H{r<NxkLs9?v1
z4wz0ZNkdGvr4oG2(_K}|BnH4km4IykdOT2psRFaOjHk?zLjAV<>eqDYnWPfKC0$Qx
z+B%r&Yo7x%_bJAG`jgrBGTh!vbyHis<vYilO;1yoKl1%kuo{o|-WWvi&8tW@J?k#S
zjdB=!t&PKE2-iEVff5#f$;O@fD-E-ipd`%L-)kdrKQ_(*T*6ksmgU}(P8aHzD%2`w
zFDNaI23*mD(XR>o9izE)S8oD<T5-bdEZgtx+>VLPv|?BuabsULdn)GSZ|(Qe9&b7G
z*<305t}XnsqY^V+?ys%kj`i19=f<xN2v*YKIkdSqrIDZux)W3iIuG>c$Q+co^kK0<
zeMJ*MIa<NCzXN9KI5=(%c)9`$=+h`MnUNe_4wK@`854e<hCkmln7HDY2GJ#((wS~A
zN){*+=uYcs5BB+0KKT54NkhOC$q$6Tk~W4Fm`f5{_-x0&W#|4%Vich-L1(-T&~#Pf
zQe}X2w}OE)n*r<f($n)4AGS@xGz(Cp*P<hi<nMuy1CC84eD#5u1af}f$k<qV@^=ui
zk4&mXaW6RdzwSnNB8{}P#;Z)*LVg0MpCT~j+;Ep%#0Nw;ozLEPTCC<Iw-+@_lnF-v
zGd_cPFuo|>5}*<K-DIN7kORh5P&dU1Dc0eR`ZulklK7pN<#(a6)Y!;ZwKo_`k6DHS
zFx_D!wXhWbs23F#Ra$PQpI0#7s+pn@G$!Vd8aiPQY>XQ1EGs2T>wkTL1BFE44$k>H
z$E8xd6!}z(#FgGe?Y}-P?$Cx-%1TX?0rV|gkNHv;#q<9Af-2yV4)Kk8frHHtybneB
zsDaS!A!8t2SNP5UybliGeE_|U@jj?+;l8MPu&sRmXI|p}|LOnxD}aurkocdw0RQ*D
z{r?-^_~liyG9HACYQoi03I8PBB0`q}KUgaLYYYIZaV!H!9SeCqc^CH;=0hnCB2C)r
zu}t+P=P?L^qUx4Dx%g&l7z}Ase3_`$vK0t;O5Go@u_0Yv%Ts*L08T#-oMaFf*+89{
znVFh7*J}ZUdkl2G_mN}7hM40xZBN#hG%BFvnG7GUV?#rk1Qi?jX^5}YyJrX@!s6B;
z0XHrAX=Q4Ze4)1@4oaCBzu$yZ+^u)R1|&$~e%Dz`+D<DMn%urMbUI+F^#XPfAr!{M
zg_hW@2N12y@NiiOM4n+HDgp_@O$(@gB;SbSU?afvBr1x%L_LQK0Y2IU@VLVILOvPD
z22#jKHAszsKr`mKGH{Tx5W-4lhL6b_-T-QlDKrBi3m8B7RaJ-S@MB#VkE7uUlK%lG
z1X2%pZ^x|TQ-w^kbojv~c2-ta@#cU5q%A^o^_6cG3;q(o$x8tc?Ck?$3Q<h1-e8EF
zIJDmZU@zpLg8;5poJ>p!2{2I8*Kd?TvE}E^qafOEZ0B1f8P>h?b0_-J#f3$ni#H%K
zXt3IY)#IS_9VoM)gvCXQA1tJR4=r$^S!?KyAgPbWd^ztHmo#`9I)blPVvw3w_a-DD
zP!|@x?Yre^^zP$|(Yh~9q+Go(86@B?04oa~?P1X4#hzvDOuokO2)@jcyu73*Y~LU8
zfZ}n?7=UpEBG4iF18ZpCr>L(WMKQ1JqX~g5N4LB%%pBC_pLFU-^7PHvNgetEWQJ5J
zf%CS4S0nI$uXsl*qLw7a&PDFrYO;O*{5hRz05(F!)^?i{wk^-ptc`lZeC^--rr6g2
z)doIDg&$0uNjN$-)_*8bdTpZP4pt@_kbsQLivjm48EyfcVqa(dZnB3VanaB`74e&J
z<*67qvIAH;lnZp4>2iwF8TOdW%k#;&8ej%4iVUza8?swv@UZ{^P3N=l1;2B{=38c(
zaHVFVb!9HDKHdi`2WR!(i&v;Azi^3r#GyP};$QRg*$~UN>_I62%6Rxr;OwL$X;2|7
zn$-=`<(Ac5yF7K#U#)(2U<(Kp;U$|=Z0jzt?KP&$l4~&v9wP&nh1Nir#^!Y?`0A2F
z-+PcQZe15UrIP+Km*uHfj|FBO)8;0KJng8XJN3O2UmrYU<u>{8F-aLO;Nq2rhI0+y
z>Rl)ah~@kzD=i1Pp+;aUg9q2ni@<#ebpfjM1^@^<zA6Q*E>`#)&-z_vyhD#3N;Ew{
zHT#1}522e*6dRP(6RVH6zySJ#+SOmbb_JlE^K>|)+EoxjA4sOVp<()_C%9O%!F*{6
zq||4lnZ=wI<dZ0<%;-Lo@pm+pA`r{9)3x@|THpupj{M^e;c&byG?On6fSp+fj8RUw
zG6wmM$Aa}ApP9Kp@0VCsSzB9=Q=084x0f~5*Pl-KuI0Ae+7{~Y5hBB%6^J@H1;{n(
z?<Njsx5Dp1V&XdD?7OQ^lVRD1%lZ?pO7TrxF4c%#?~Id`(FLBIf&%N3!L>$1lrFr4
zAhhke;OP{oOBmLqO|R;f#5+mMN3l*|#&&vnHAfF=0jw}2@8o%1iFW})Iyb`(KeUZw
z<S$=LC-C5ARtM6lBjmF1nD4j0DL()b6?N4MC|noO09gB+={u-(zXEbUe=GQz@eWcM
z$Y=ZblnVS_xlU0Dz^+~MAexb!JD)XE#LE0~=NY0l8?ITcx=nWDa$M7vMFz;B7318r
zkF6R@&NZNg>Z+k)>og~~Kl80#<`Yk|raBtB$06>+#lpkFHr#e*evMnswT<if10qVJ
zz<WP8Jg1BOP6~Hd*J|jQBiIUul;5}kMf`I<Kwzc~II{WX!FV%lib07m|I$K|@)q`$
z-$y^J8xPms_SW0dt?IFzptqBpZ8y@Y<-sJ}K^n0a&pQsNKj)%qq^jgB6>+F)TEO6Y
z30Vpv%G!4VUT_2h)Y{gTcF#=`woTNLL=tK4J3Bi&Pxa0VoR1;b*%$<%sW`+TP7aMb
z9Mi;^;uXVQW=dU#y!w;ZNG}1%gb{q#u;NP;Unfna9Z-#nw{<!V^FvjMkHc*kV*kD$
zT+<gEYLc=6biN4sH$GqqcVEtmxkNFUMVw}@d7gAE?avb)w&x^nHstEUI6$t2p30;K
zgC(XV#7$+2m(Lo`go+u%T@6p#-~)iXT}@@?s0|kr7oWF`xXmuQAq-hAc3IVT+P=%e
z0l4yM_M00UiV}m3k6e`wwgIh07)UaQC#pdPMe?S6(r&^PNdv@#s|2XC(2A8AArj|e
z&DOOVjCj|ToWl_>KvYh0zp2{I5rlPZ{ss>}Jssz@i&~=DL65r5k`PuYgOjcS5N(8q
z1eVe~+w;ilp@--qcx{COYJMP1)Y*DIIX*uAHQehw?)+B*m;N`bVnk8VR`*=zzQ;wF
zOKF?ytQk`}-0LjssZ{v!)-QAcBIEn2D*1$~Dqzj{{?a=SfFqj*5(GHL<VSdJ2FiE?
z6y7x$+wq*5L?Wl|JphHm2GiiNs$3G$z|+6Jx;!TV3RdXoa3&=s1?g<)9)+M6iE_5m
z&=|RL{IE-D*22903z%zHn#~&lMTs34aSE^*s12v!;XaVq1^EEAgX39}+_TmbCT0L&
z8wae}m(W3_GmDK40Z5nlF9)EpXd7(?s=b!pBbL;+`IDj#J(c}WDEaW4C~E;547m~c
zv~0)C@WgS#b+ELskmJF2Lj<3Gi0-lj-VVU@g`W)ovsX3OIX-1fRP%m&x>lY^FnezI
zBU3_@>z_!b$AjpQGYKt}L#F$;2T=c-aVjXsrQda*gUA**n`BV2VM??r{5Z$&s~_i`
zTUCuEu+-GlEVvQ4=P*813KH1!!lS7lo_&>%;Hy<o-<a==<Z~Ai6ufkj_&zZ<md=$w
zu6N$PUxWv7dfITnRWHO?AvRA3NJ|=U@@ykv9b|wbbRvfiIqy1KDR(@4<Dt8GTRm63
zTVI9P1h6~wY@&7PAVKMh#igOIe=c;i&d^PXMkz>3$WRa|;0>aiG&E`h4Dy!$d?E49
z$OW4q2bJEF*qxK~K6Z&RF>K?itUU?jvxq|EdSwE_pigG!bg1s25Y$yMqfbO})*>m&
z_3^L3W+srIr>C@_Jr7BiUM#9Mh5<}m0i4wijsPA`=VzK(*FwZ~L4Lld3d$Qp#CB;y
z6pv430+irUqx&wgurSFytuYkZo!ijRz^(3-ItD%K-0#@&oU3J~wFcj{?J<D^5q)TQ
znqZK6LpQ_z8aawAJ*K_if&{qHeqb+}GuL*RC57I*V##oK|HZ7pR)xd_3r(kJ8@frJ
z>9TpVVb%|cGzBC}Jo5iqH+OxQzePlSyPo$a#IKCCW|1k|fFB@nZxu`R_H-8GdH|;Z
zxP4U6>W-wh@Pt#J7FnQG*PeYHau;;*FKj#NcK%x(wRC8FyypztUMksS3DHsga`F_2
zja8<f2dX^ECFM`7oGnn2*VL;kM&Qp8ct*nEpjo8p`SErvSnlaazU#EGb+p&g2d7cs
zX{y4jMk&z`j-U&Wm_gKMU|Qr;BGj5Ih30c`{gTtY&So4o-3)8x)j@XoOvem6z$O7_
zt>!cd#ynsfzwu*HbHY_y;jGa^qGiN&HXl@IJjV3SV}L4~0`6+sW`j1so98$d@qOES
zweUi3`&Xr9D8gRhOb#5>a-c(%&c0z7r|t$5w!m7|5*>TNwyR9%zJ0?8f%g0ZfYm%{
zYFqN<BnoXCj1anVDSD0?n8Vxm@af>~O^7t{4P2ynkg_E5U^gneq{J?8&GVXbJzDYV
z-qk7aPcy3lep0Yc2@jYXq=LGm<37m<B@1Nv!~QbRf&m8%6N*`bwIH8gb5by)Mpd8#
zfr#>Gtkrm?!LlW~YnLQykH8scfu`c>x_?^pd;uqml*^=f_rT;KnFpUKP{77<qrC1r
zGrMwG!xKy@@rPE>AeN_4R+7r8HZ(9?QGcR=LvkT{M`4v<5M9uD&sl67B)P-+y6KgD
zrRG1uuiQVjt5Vsy#)(v%d;pnz=tIGK>&1%>f2}86uOF|wfK=Q{!%i9?gck7kYUUp9
zCb~>V(TWqll<kAWaCF3g?Yh)TB&pY;(r=lqc&h}|ZZq71+H6i@^h~2R23JG%n&&bT
z0;w1=&zN4dDv3W}n$J0(sX@vzII3GW&I`Q{ya;G}a@C9HWNc_S`((m33;3ZA_9p5u
zG+XGI-^RMb_1fy_`1k;oc}8p%%hBKOSHaD|w30(fpzy&p@4;90z)=z$be+xHY>+p&
zOpbCzz^~D8;CuR%P2`4sZo9mfLIIZQ`nmcS5Cf3Hn`9Zv)zy_zoKR`X?XwF%e|viQ
z>x`DiHy$<us||;tM@0^{iNF`617#)bTow$lg_G_JiQ*_yL5O*@jYuu?ghg%n>J%u>
zs5l!6>uGDd55L+3=~#MZ&vKnDrS%BvQ{d2}n1@iPC!_Crauwj!$LG&Evqqm_9UE!@
zUoj9)o8%p}WFR^8BxB8xJHJ=YJ074n2@e454L!@<y?^Q>f7A&46oUjW4-2p``nY<5
z^SjqQ4>t!m^3`gjS3Ku}^VRgKEeA6uimRKa{{#W7@Al(yZT59%cm|MF{SkUTh<SAt
zkTct>2dXWR?QgEx@>Sp<uy8Q9he{2i?Gz-h%pQ|jD;pm|VqQP-!+5$ctwd^xJTgvR
z6QQIlHybQ<VG{t^naGa9Vw3}F!mQZ0)phm^lmXcCp}^BCK)KHP$GVgt@PLY+AgW9u
zf``GZty_fb=bEh458PV8c~^?$BT?Mo>u72Q-nqa~xIQ4cNe=4UMErWRUJsOCI5;MX
z>Xp7Fn;8oYJ1kIpSDLlH*+%zJ)_1g^3P`~rioZz@*wlls3zR;KI<NKtld3;HRSy>;
zsg!h@0tDP%X359vXi$^nIZRL7p!9#fv94MO?AjU9?_oz$FY_r-&&seeNDLziBd?wo
zO{X=$w*hKWgLxb70>G*Lk@*}Ih~?{2PY@L_S>+?-&B`Z(z05wl0*jg~h1u^+fsAQx
zS3`G0pz7==9^_P1R1^S`wi4XWHbS%#c+GQF{*dM7wB2iL-S5B-rkO;Ds-ip<ufFNB
zb+cN9BIW^T5ICx;)-h^wfCns(!qe#W%>ybUdCgNBDyFYqjYwp={JDGLZ;w&ga(CiN
zOG<X0fn?uj7cKS-EXAmV(@GuA<G8yK#9}+Hn!tt5ZXm7GMEO9ynJ%FyTX1M^02VRx
z`j64yeBezKF0S26L0;`K;Dv(vqh|LtRur5y@RKY9pV?rBWO~WwKx|d>;Dr$%%+|L+
zH7oEhP=WEwKnYedwX^P-L1bzkXtyv=DE4F-aHuG>9D(pZ%@Sk<5VcAvh07+^`o-1J
z3Jv0dXCjd0LK|_+BI$@Z7XvY-G~=!qFNrzSVs3PuWL>`tN|vB7i?r`e;2Q2evw_68
zm2A!}H2^et@ugah*$v1;`dHWvNRr30J|r2K>Hj8RV!-w3oB#Q5nJ94I@4tU78g}y^
zz#aVW@?(%{cvS}^$ige5*1qgCYUwj@C0tc4l)*1aowy(n(rBOm`G^1g_x~^ckh#H2
zTDQ{<FHx0j(NRCCo2c73!@rN$@^~;q;?EN~+lp0+l;1Oj`XxJ5C*C(9F|&S*-LZ$v
zP*n>N@`oo}$QB*`o2*J=&!c=(C0-MsQ)Tt5UwF+P<>!1Nxg&$?BaiBa@5H*mLd<Tk
z#0ctnFFn)sE-|0uF5KWN?Mae+a{QoMf_Y^B^UhxbODZg!p+Q-4kHOD}9vhDJh$zQm
z+wHUa6=$)CWJaGCsS$RsXN*eejT^lUc8MS|$BK`27YrY*Cq9V6>1ujiJD};fjNP3d
zSIy6i^R_rP?E@ld`Ndmh3DJJC?qLCFe1$~`;ssptsk+JNE{rU8td=bO($&_(Um%_S
zwoHehqE{}$Uh(XW#q%31t)X^0d3Dag5n50^-W$7j61Oxe&WdR+^<u+Vs~0an-S(jW
zVzMF^=-wYmAG=ko*ba-(6qd~E0heGe<RsNp&&ABFMak4SP0x{H+*#MLx%Pi{U~Unj
zxWH<V;uw+Dgy70gTVyhd?#2zDR-|N(A5mL*eKM}>xd|@z-aiztfQx0_ZuWazFfn~T
z<^*04$>3hRiS@7)yhFir5GAPRywu2y*6q#^pH$ZfyG+sgJ@WaB@%Ml%hD^rHIK3dt
z`)GuM#Mhmq+$e=-+p~_YolT2#KAA;AiUWgWsi*pWlsFwc=LAi#38cIh@)i3ycyrCG
zbALpz_^1EqH*obYzgV89+Qn)jkZ!$8&)(okE!(1DCxsnEh7P3ve^hPczQEr)&x^QZ
zg`!c_Qz(W^3)S0s-<lNS^N|7ed!>D$4WwQ*`G!2ZqQ3`5$|QDg&Z0kYt%niF$O&R*
z&^?tpkeK*4Btmz}f4r|EASzjn)7`6_y(e6ARKK4#SfS6_Ut8H*{F~S1D^0FYhUfQv
zPn6E`X?ERa9k;Kct9gaT5JH|t%miq8U>UIjFW^z7oWs8eEP5V19S!yR{qHXGu}jaU
zHw|A{*NB+zJaRpw@FYr%1#AET*nkZ43Bw6kz>l57dq@kF+f1bb2dt$}o;;}l#)RE;
zdl3fl>3F=rkAFrRkK>y{byzqleMYJa#jid36PrkUC>c1*A-X$iNbhZ`%z+)F0xqjl
zoSGb+f%jtUnLD9kMNA9tOkI=7wGxOu_-5;L*Ja$5Rqz<5s*&<wIu%$6j{Ru3d)$@(
z@s0%VPQ$?UUo<*hoIkGKNysWHM<s3!kL%T!sx+?09ysev?P1)v9&fO3_IQoLv|qeX
z;<x$`=2WMnrR#1u>pHegx1%~?HZf+XdzS<od)nz(ainkUL|&{LacK8sUeqWWxq1$5
zS$XlmqGkT%1nuch>_9>?=i+56^@3e_pWH*(&cy?<V@z@>D$tH)ASN7a_LBP`1B>xu
z*`4QLZ!y@&<3_Ko$MH;w#XRUb@<S8g?}qs)86C>#VP5D^7=xe1g!XU({@sI2y+F4o
zTXbSw!hSX3YbUf40&nO#+jM7~+ek}-@5OeP(cbsS{(NMEzB75M#YvC*tbXy`P}`5y
z$CVoedud(D4bUe7HmBQ_=N^Y7=N<?3mo#6;&n1$c`uv(cy--oT&zYofn`7>#y_hp?
z$WzcxYH=)l^VXR}E{(;>&@E}dEgU*euU%7mx?`&%^bLjqL!aZbMU5*w0JEukj$@Qh
zxPJA55`F)Rr0{3LbDcTzEK$0oslutavJ;tv(#sQKqsdH;g9Aq5E$L{yYmdy-dfDYF
z8+jZfw%6Jxs-3W%b|*i(u3bkAYUbs0?9S%3Z;&l&y2V7*-Ic}MlU2!ww3YOeKLUgN
z2ZDrm9Uf&UbUz-rxm&HDMMLRDro`16YzUo#J?j+T{2)<#@=)4m3&*b#%{(!Q{Fx+e
zwmRb9-VxckeG5R|)S18<A0+Ph-|v{|{HiNY*XbY!6LiiER`qh#e$-TV{m}TboA@}o
z8djFMbd@@{VEy>6DDAXbptho#*MfRPGrht}h?sSu2uv;_W^kovXOUCl^v9iR^fH~_
zd0$K0iKf@xzD#uA-nP%u>Z8PaVPw?|=h9~}UoVB%!Wu{3+?djc)0n~esO?z~I%D1^
zfLTT09QX^6!jL~1U9X>tIS(T)u`ocH<<TPxyB|r&->)2n$q$@Xe(0?VzX+?SBe+8p
zWn>@K$v=Tgg*GNbWo6kv2_pD+e@xmt<keAwRuLPD6<%)N{)RO|EUK=Y9o^v>%tw6%
zg+1qV%=pJV3SR!tywHji8ewF`zf-?AUe)ma+B1{6x6t#VdQ|R0<K7(tq_^8g`io=F
zj9<<k?zm`M8g%Z=c@F){erW^H*Gl~zZt3SzmsLqhsn6mzFR|-Q-0mT3MF<*0&(}#C
zPp?Wd2WeXZ`neav?XQYclVz7b+sN~KWNRMUpqJ(aZ@E3U%ahtzdtbt|*qUG4?9zrl
zCq4+8r*p(P&fO25>t8cQ&PN(BwCDY$o1X026xEzb&$#u{(2=6G_0T*(o4dqpYzuqX
z<SI11ImYG~@9^0FQ_EGd1_cH}A#21Sxp#H(duQv6ojX}Wtlco+bc8{G^?iMtb%Z6y
zB<hsn&fQp))Asn|7Fy$8o}B@!2#3@6Q*e%*AAbtc!yDiRQpgaGc;Rb#doz#u>!s=-
zTD!NTY(nj?7iQ~*zfYw)hZ3Y@;hc6-nONA~FV$5a{Kfw})OOXP<VQ;8$n^Dtl3!_J
zQ<;xIr$L4|g!_UjpPSi^gP+C+v;|984Rf2?107M0r>%*-wmb-7w463S=zs0GQP0sm
zG*rvG`i8RDx#-Ww@^6eG8gGm<Ltzm(9xLC($X`aU@;o>G;Jz%6z~gr1Nmkf@Tyk@l
zQLr#jm$!k#$?S-1U{3O8v{{lkS08LJ&l0LcmT9?_)kd&tA(v*1O7*0kAUeaR!t_r^
zs2^I)VIT82g%YG@rTrpLo$7d_k=L{9;O5O>|8que-Xsea2tIakXj9PczaZY~1SvJE
zs}pZe>-gCFoh7=Hj}ul*mmaxApZb}iZL)Mk*r7S~mu%Qm$NL`p5!>7|vv=IKpUtiD
zaa!fC7Gx9kSw$=hA4g%;R$4Agk4@@>A(+FDh?=OnmWkI?!pn-P8_dHSMfqW%3=?I$
zLmd>WTAvIW#`knJe5bl-vBx5~;X@ZH=&VtNc;6{nE+D9R?%DoZjH-hbTTG`hxFztU
zfC#Qx@tbY$n6RU@<(^!okn5;cefr0kdD9p25fhyGxy+)AZI0X>r<SN>kn8fEDF*$W
z0F5NeeSxOz#5pf*T9<yc=opn=FCG}^EcV;O8D`F<9XDXGZ1?!?T{ch2AilIM>40>S
zg%c5sbcE<EcvvP>#SAW1cvkln^cGU<o<H^C_b&m>01Ci3aOI3}uy5#TeEl{h!w3#;
zcN!UNHRogS0hKrPT$jUM?x9`FP&1|%B?I#gkS`Nt7&9b`dOJhBQaP+KRQ9G(Le=s%
zkLjfHV9k$XM$q@_U>Kc$Cor}&(D3HM2^Dv$@pBc#6EQ_G;xuWF?-#edg_EV3(@z6n
zUu6w6C2)*-$LbUL!%dENVu9c{Sv%4y=@p<;K2KXXw7f80%_^GuBRPJGdAw6n#&^oO
zSR{@*MDQ*>g<JeWh&8K;k;do0f6W7bVY{`A^-BPS`Ay6A@HfdNbAt1YCd^iF<kpFI
zv?dpiac1m6#+nl60^RE<6o1mTt1UEJIOEsddAPtYz#Qf-8VH2N>eE3_yX&az0gIu|
z+zXA%T3vU`X76>(SyfaR6e78bJrA@CaA<8~cDCO03R}A8S|MuTB9G=vII(II1RZfi
z$A>hpACzhT_@g|o)Id7=g2P4aV_-Jd7-tG^+=SozLzz-ovaG=?8tp;6{@xoTGO#C~
zg~e+;m<xOi%D*H8lS<2K{U*E)a81T3!2!)i@3P&$GNgxahYm|p0t%?w3Qtt;Nd6Np
zI)vo?9$LAwU()XUfV1*BX)dt#eKVhXowXL+YX4y7)wX%suwH*!$KKz7^2{tA=M3*p
zviOA}C0`=ZVKcqQDMRIcm3bn>oUp=Gl&Ij}PRkVK&c*pEN6=06V;3Jn*!cGGpi?M^
zI4OeN+-m*c*jmDjpK1$t++MV8Oa?47l@~uOP<53!v9>cwO<zp#GuzvRtp|=%9WX^d
zPLlGgC^uoVPh?@|ICB}Q!L3F&v-pK`;uq|qN8)aj7-*&<Z|IY?O+ZhOJ^i4076ZeJ
z{8E3Gj(S%2x-!w8h<jdL{te%r@}N^0mau+pSypY<e*8$I;nmBzz$2>Jxo&-{(nN20
za!r%c%;dG@`>B1m6t<$ZQeA)jzdCE5K4YB_G+iyQKg1p)BU$aYc+6EElgL3nI?QYI
z<=C`O2!*9hzX@2Dppj|C;?BcyiCdaj%HcR7S=Cc3uYzmyM4!da$B7#}_3DMq_5o7Z
z3!6(@Q|04F4{?X?5R|=<qfxB%0r!xj7JrL&?<c4x;F!1RA3l8DlYWk4q?77B3}@eN
z;R8J;`)9~TNX@S4=pvdkU2;1AJJF?u7S$W!kb(<3Eq7+V`yRb3M<SfCUJe`T^YY<%
zTd)?VMUSYjIC&}LgqfN_V@q3;=8FHh3!p(bmd5aU<-|eFo!#F*SL&?BVC@Z4ESokV
z{cV^NPYP-FM8=|nQKy5Wdsxl>o9dv&a73-ass%Tg?cIs&bK~F@TuMVZ&!^h(m{Lk^
z`B}co5_bOwRs<~z;xqr|`dD&LUWQ8U<VHiDICN-DbO5SOapXK6;W78|l5q10fdK*2
zllGbBZ*;b9k^~RcRv5Q<qDj~~0|_j0->F31_iRquGA_64{bjcbz%O?l`vrrzC;_{v
zuBtjE#QM5?;ITKZNFif_^qyVGgLh6`F&{sYCAy}rz4@!WvsZMia~1SdG)k0cai8uw
z0YXgTFl!Rum@k_X(ugy6cd)%aafR1gICCjtKrxw|p5q|Ip~846r9b^Y4`Zv#u%)YD
zJb^e;ZZ|fTiEcRM{eDG%G{V<{<#nI&ILmGoY&k<Y*zzbe<PP?`(%XEwPg4uh$*|T2
zl<yFEIWx{~(Vl)tjg`#_Ys4`!<LPToBj+gvh3if}gPC*$%kN$yX3)+3>0pkYuruHs
zd?fp9zb0OuMv~=CUX+qP)WYkTP~E;4C5*q7CG4D#>Ip2<Et<(|H4{1+riGOz-6_p&
z&A-hdW0j;!msecEdBHiK87T;w#!dRHA)S;|1-+%M1Pf?N?sSdk0)Qv}2G?)*dC{z9
z#`O=(897B=hV%M7cK4X;V|x7-l>n=dy-7zdpqdn4{V9@~qgJ&1qe8aQNomJq?T>dV
z?nhhLe$g%DFJBvu4#E>IB30z2It5cTc9`!a`|S8WE85Hq$|nCJ^t)}1ZC+jtv|Y@0
zhV6NGUeOLdTBpU<Z@ETc9tso2;axQX97J8?c;wyUWk3yKrlI8U;aN&_Ep^7|p1S3!
zVzr2Ram>+G^bI~K$|NL6WgLCs>>r(zaW{7!sEfG1=9{HUMLo?noNdR1q2ZxT29xnr
z#^jLFEcageMoQon%9>keH_<N)9iTuQ@Qc)~GQkIkv4#Fz2rMDGV$tm~7&KQ+!Fo=Q
zrFR2vI{z~{*QtlbOa#dvJAZGz8o@7VXK^oC*{<fDPO|qHCCBwm9vKY@hsnsuOOf?J
zB|`!LoM3qJdfZl&x|a(=DdMm7tw`HOCFFtNBPuhq%Bl^@WB=BF_QPbopQC&RvV;Sb
zPk+Fo!nyobSKqG?_sJ9^v?o}J{{DD??(Hmky(6{x{g;oaovD7f2x_hn(?<9P0KX0l
z0!V$brer3*X+`GRQ1$AC)m<v~<-jW|zOrwO8MVKAo040&2xcR|cyKD*G$2bpLYRen
z#%>^54S$x*zn_A@MOsz@*<lG6$C+zU#v6jfgn8_1saHB+aab@NNWTKjVqcfcQn~Uc
zV01NNA5ZGTS5i64UQXMw0~Bd|-T|Nc)MN;Z*v(vqx&*9R0OG{3)h56rKJmrKYlb9z
zTpdw<<m;gNu(?3(hGf9Vt#d9<TA7*Y4cX{P?OzmeSllwdlB05-ly-^co&(N3V!3$Q
zNhoR97niu&qHEKgmDR*b=`*|kPQ_4KKV!AMgCID@%Ee&*ly?2J8Pj(=vvvpAG-wYT
z<iN_=gk&_rOK|QbV{_jp>ldxpKDw{7fCIYOaqqm0^nXWf^qmJbzh=h{7A|(A44lrF
z$98h8UA+E!AH=pVd{Mxms$|)kHj(N$3ly8U`RQX9Sq1K2!UTwnrLT@{B)*B=(g)aQ
z+>5qM7yjt3b*J1`m`<#>E`9M#_*KfsXtc$OVUs@E4|Q4U!~^&ypo5r5ojqe{LSlhn
z+j?>={%{&)<9F4Vm63n?feqET;#5=*AOwyqb~jlxI+BL9h?Y_(e-RxX8~?Uoi5*e<
z3&PGg$ZG4Ks=qPFipG0=Ma6IYG|YWklf0oPJpX+N+n;UYkQH(WVUZ>*WW;PCEy`nV
z{;Q$9SMS>rASAKfW0n0R#~Sr*{8I(DPuUyg)D`yGd6e`H2sTz<dYv)KOFl(>tl#T4
zO;|G;d%d?c>jN4FpYjV7@D9wQgeU)4fPT?;V@Yd(2=&d<G}NR`P<}Nke(+LX;Llqt
zr8yRHmc|#<03H4L?sZ8mq|(GCuD>LNJrV1529AoFx~cI_84mI^4~W^z*NX&AFORoo
zdK>c2dRqUW0tg!5KMR{e<!tzW1^Ks~P5&st#dsp3ccJs%f%OjWmf%`r4_SL>a&8I6
zmcKc5Atv<g!yKI_P!LYsJfE9c{Ka437@^fdmg4+wOl{8iQUxJg>cR)_Vq^0OoJiq!
z<`E2XPn%zIfVvai*!_CV)RFd7=mJtG<Q46k19s?RI4U{Y<XQlu>9CEW6B1vNcT#E%
zghkIE>f4!Iw&LvMfE64O`rU;0@kSL>ka9SlA+ct?`dxa0RJ3-Vh<?4@tC9R{1liw>
zX{rTfNVJ(klxh%#oMjVG<3IW5N_XB0j1kkFdH-{;xG^fuhi(tjXGJ)YmyTpLe6nS>
zc-WK>pxgMmm<o7)lV{>nfvF}gFLn=Vl6nKp_YdFA6<AwTSS~XHnGw|u=Gx1_v%Gmb
zAmt;;cH_P}Q8}bgjFk7--K->A*f}+<3Fsbm7dd_YzMx^h@?Mu9vA5*H+H0y&@0MDJ
zSpV7G-0x!aH+>+Ln}r7i;lJ-i1LUz5yy-`;{(5iPnh`^6oW`FAO=i?ZV{)Szi|;`0
zpeX6?AT{6aL&-hU`<|FH`VN7YuvTjU0=B@xETwqxo|S{2B?Izxo9p3GsiSZ_Ap2C!
ziLaWeP_=GSCRF`dd{>?qd8WfVSMc5BR6_DH)-0V-ofCidp{?%Di{i6gx{<UFUdt-2
zXc9`hZ1)8-b_}cQ<EEF?{U7GY*01A)&bcq%MXXQR6=eUABClO`wJ2M4KAeen!5p$Q
ziQQ0<DhqczjSuX|vvG<zW-hgRugy3tEEeQBED%g&$8kR=_ivV3?9okpTUR4j%^Wh?
z2CXFst(Sloeb@2z!^6A0hLEwRJiU5j#5J$Th2--hqh>vXe$!J8VMFf5-W#4q5^lvq
z{7Oxq#<7HwQ-c*l^4mLW^c@|(<#reR+;#i0L7;op<9f=63$A&@Uiin++;5fi3v^SY
z<0#JM1t$FB=TyezCI6Y80>rtt+4i)l%h~X0C8>vGim&ElfKJ>{{!KgG_ru_Ym(tYO
zD-eOa@56H{1$m9z9!HnD5!MV>pExWQ?8awxceUtZN!999<8m~G@4O!-8XuAfA~ln9
zcb4#$v$@#qOX+PrmmDW@t4{&^a#{A?km)5#bnwjL`_)@V){U<nfP=cS?I}qexxJS1
zo&4k;P;!pN^FAzP<RCf$ZO(o*w%eFq2}Wg;TmH2ZveSHF6sEN}m)7AdxAQjA4*TWQ
zjMZK4t)9%{r@{kW(SK;`w0aM~gAfmi&xEl?fWf3!s^*J;tqOdwdWr26$|on+@`YLz
zctaNb=T1Bn%Hh^#D26r4wt`=zLNSKDJezZ?K-HPC&Aj*`xP&wJaaRY)CO@2kzh8kP
zD0|b4%cHOrBNX<6u;<`0Ihw}TVnyr0!&feamaGn%FI}Po<169VK4!uhg@519iqBxo
zoqX&7C#~TpaWQZAD2v^M5ATM0>-kBSuo9wU>2!90jAwByysf9@*c&fs_3p7|@H48<
ziyGH_?ElwEP7d5YU-d0Qa&2h|0r_Cl&?c!e?N69ltf<+zpv`G#e(krmM?FYV$z9pn
zEDLsuY`42PDfd?+b9R=Htfe97ITl_%{imK|9ZZXnO*v3_ZWV{T^$#xWF7iZ#wW}Q4
zCnUTPo+iv6W$&XA$G(7NUPzbCgYG;$+>8b7aX+TDyrypU*lv~)lyPQgHRzXMr`pcH
zlYV42cycK+GZ@ksgfacG5}SCdrXDx}^RT4pyxk%7%5RKvP1Z$GV`0~=lGfo&?K!;m
zT`Q%@MA%QMi&UtvDye@Qau(-i3Hb|^=64=IFIM@y@PMHcpE3lU2N)Q#OY?WMIM;4s
z`x39Yv$(Knn-65DsR;b(rX2ur1j)bL!-4sBqchK%fZU$<5tp7d2ztXCG(0+4Ck+R9
zHtbya<GL2{H5Q24$ybcVWvjkVnHL<07iFX`hXq#)blg0ZRt&f#t;jGQ7T@DSVQtpC
z!A6VIFbWIYlGldp4$_vSB|lt7(=1^-1`RF&o#NzkFL;F(qtOLFfBYyT#*bBpQ7Nld
zILh5&p-o^7?VWYo@YXktm%yfe0?$6eBVRSL29zN+5K5e0P#M*HNk~{;EIil>rt~Ix
z{#<oLeD9$zmUg~2fGL4EZ_tDg*3$KLvt2aOR8L*+)VPSM;F9wlm3M+Y?*PT2gR$(-
zw;}o>hmuoccUb<66kMr~tLeATSea#$1qm8UX#S*dG&GemjBvNXwO7QMV;g(5y#^O$
z^GX=!N3uP0_|2JmXL7=1JFzRoeJJ(xiSOm6%RUd7GO2Emv^b>dCR2eAr+qZ-8ja&L
zD&cYW-ek2K^>aL_bqhKWGS=)2c$r`Ym=U5=1-xr%(tgq9e)Y0>>vc0UR3PwW*wa8d
z`s85V1|LqUQCwK?9Rg3$N=Z2{Pb`W-C|{P)hl%8&O;+qCd@#Ylue1n$lHuuVy%Opo
zu^tQnh#{V#Ih$ll445n(NpZ)&t{=!A{nKoLW*uIF7k4qPED<w<dVb$tKh0El9uRJk
zFXZwo0C!{R4rjmqdYu8nQAYRoW5Mvc0vUdf{P)AZ8ofFx63o5`K3IPL3wkzSvjCEr
z+k&C@y}1I14JG@rwjP{fH79$oPdo8RP9GA1qpEH-K0h2)ep%nPVmo$P`7FEZKRTXk
z;K|I3!7n++;UCFRAe&8T*GJ0@`Zxb_x_97NmnYusq1#@PWxucu4g=detR$*gn!27%
z$0Rk<-#<#2d@Ti?z$l}pUR}M6ftUjL%O%T|A@b4e_0tl%ch0QkVDrf|L6&9QndA;m
zQpT+(wQ5R=O8q}p-_5m9)I6B)Vl@DxQ@1+a^=G_;_YR8lN!yCqxjsMqOn3M$J$;!^
znrkw8R*5OT<O`0`(L5KOQRh$we)-u@-yA_BylU*jp0bXgRVv?Vv&UBHpMIanmMcM<
znY@xcu<$EA$W8M9oHP#crFW;V*BuFq(&8yIb<I5(*ZW?SgxtHEPX-c`ycRY>YwxYR
zUg?!IY_#>+QNoa$-^-1^*_RFXE34Pz>o1HE&V5^UCEON#1ajLbZwnA!Mra7n3DC&d
zZ*zC1*zYOK4l0}=1FKVSa<|_HUR-_|cO_&C&pC9hKZ5iiUtc3%F~pbCE}xE`cP3xO
zL{=8x#QoUXL`=r8Ix{56F1<G)@IL<=&q51jNuhJ#Hd*)7kQsc(Z;Ha&XTR?eo<6@c
zG<Ih-45zxu!b%dI!hqdGI>$0g=}ZCL%>wz<9~f=*7V}^zs<J=2O)`MwOJz&gxMtVN
zE2jovYSHJcwWf^pP9VBdI0f{p7Jm1tGTln|-gFQMPsaBYrcTBSj5W`Xy;6_G*IH1~
zIvrZ=&1R-MaMJRQaP6fQvDbS4^XE-p(y~vBm(fFsp3Oq$z|~?i4WzBTNpOSV28re1
zP=>+E!-)b@9}>!QEwA&$dQcib6dk?gZm)nmBtJmGN83<}ASefZ5QG08uwJEZ9MPIN
z@9%qP+`ZoShlar?`1(ppe}lSDor~Q@88b`GgWk2h-HS)fSZj6U>cA|$RGCi*)<Ij=
zx5Zcf{wrZ!Z_I7YAhjwO+5gbFbtXSMi-AFd31-*boHkFUMtzQtg5y8&zc>fccr$|k
z6L5!~B;#u@yuO}AS<1PO`2A}7m&`PDc{c2Kcha9Ry*`epwln%z9*C{NUES*8@ajyg
zCdh20X-@l?Z~hFY?WcQ0QCu~8T~$-H7)_1f%;s0(Gl1MV5C`=QC-GRa$p^(_h>o*;
z)CayxyVcm9Z#PTRB(Ol$r9|gdZ}2Si+f)0iL6C)AuspP_pKJ~Qa_aOfWpj?$?Y4}_
zf~lwe(f&Zpz2zg3w2|18i`gWSn7Nq^BZj-NPs}M(o5gGS-pfm}b3}FW740amUe?xb
z{-O4$F8qpkLso)Uir=)-DdWxl6P7Sqj$lriH><x54rFt3wDatjt2O{jCCfT;uQEH8
z+1Z;(w(fs5kV5*@Vl?XLebEn*RE*QAu4N=XdE>D4&-3aXT-y?@{NJyQ5>z})?C|O=
zoO`Ne)cNq8?$Z-_?0X&_78rQaw80asjq2;7Qo25P?Qnrq3o-Q>^-K>2+%EryNLLjX
zZ~;fP_#}aExw2DqeEY=(ht9;clQ0_OH;LxE#6>iX*RAsy7Bnui;Qi_3U%#HcQc_al
zVjN(dRbh(%@({<Uf3BGD6Fa>&XAyAV|NQ;3Vi1x}AG2e;Z1e<p4avY+rZOQ40D*^=
zci)PP`mNV~mcNS_I%mGS23g-@V{j4!u3YrW5hRMQFBAA&@dJ>xe#Pb5br0J0t1)gl
zIR2|IH%o;!ipin^-xiM*C8shh^fx!#fY%qPo0F?cLNM_}og0j-E!R1;ce?QQ=~&8F
zbr<0eXyE{>x2nfl|E40r@56rw`%fMbfc-`}zt?=P)7AU?qT4=%P;&Z0Ui$g+A=$EZ
z3)g+ID;}sWaM$XcOlkLrbR4A#FSweMr6|lW)cK*S6RZ))#y39;;SYwyOu^=aq{0Sm
zbI(AE6cZwUt^m365aBgq3L*LEqiJ<h;Iw|!Ua@8Xn2>?m1}cRfy{Gt1V~_e5ie<+h
zk!W)kWb=`C5qSo9LrG>9-f#ll&{J)PHsG}n8eR!n>x;<Z4vf#`-mrAL)Um{sW;uUQ
z=EVWLqN3I=72pzqB(`=R>4VwQckK~PLOLKB9?g)<t{2U!(F2O4{K7B1RpvPD%=izF
zHoHL}qVQBVXvxOnFpvWr7WFCCuWz_u;Vac6Z@4y}@L+OE3f&-;OW8Z^92%}S>aA^L
zttX){?IFqZ;|BVXFk0bMJy1I*4d^0Xaj2#5939=bPs(9y|4ueYzU1@z>U#ye2E_VM
z{sZA@co^xSD5q_|zT#GrYUSe27mx;*Ra6!_VEKakg^dm&^zFF7$=tH$_0n>IeTXnn
z#I0j8>ItCe`kvRqg`&G8q=})lJoBslg4c;USa{8k!@6>r!0Oo-cI*znHObzz`xrx$
z*)AEh*u3lTZ|HS)W%w1f%fu9_6I+I&4ZzK9>L@??_<a#1AY%^@9Nuh6!$$tM8xDk>
z%iUzCOTo7)m&fiEo1~gnU2ha!ycSe1j|jX^DrCT4i)zgORSnYZ*>85cQd>tcY3g^B
z^X_uXAIYm_Z~yI>nk{9XMNaigsQY1t+++I(rAt3Re<rcsuicQS2qJ)pX16k|Ht`$0
z4sP<w)P>ziA=c8g)n+)?>=7qI7<nXX&bYd@ms{V)%r$IwQPK4n*=efgY~;;pcJ+)p
zt;Za!H9qDXM6B62t$r7oKEww2aC3YQc`2g5H!LPX#~5E3z46o+G+G;y%vrG>Kg!&+
z0~&~doLAT^ALm^d?6@SY4mff@Zm90;DWfj6>yqVr!ttAa<C~edTEbU<P8!kqMVzv)
z_o@F&s(y|?Oy~_ryaDp0{Cd^pDNUL{(+wXsJ$Oe~`6<ITBMX!()xUb}D84z3n^{!%
zE$xBsfzAY{^R*r5M<6sZe900#r|_GqGcdg2-l%-1#l07fe{m;lc3k)qf#~T@I=J6q
zZDa!(>Fksk)kHrhb5LcF4VoLq>V0!l+<5oj;Fswe?t|1q&a=@M)$DRF2a3+v-+X;O
zUpsj!p+3E2{g92ip@%}-Q<6BbPbG49!6yIh&r_BOLV@~JP_;z-q@D36NFWX{pOkku
z`|Dw;fP)qZ;h$#dlRbC#!Zov70k%+VbN3w{nw-*ByiU2&eT7V<qYS}(-E1~j`kMdA
z1I>l|6F5!8m`WUOr__kvgYtRAS_uN&LjcmN1zc{JeLro<pN~tF+e?o+#}n{}lQx;H
z^4o<Eq})kAeI$!5I$2uwniBr-N!v5p`F&Sxf8Oo8^r`Ji!hy8fz!voc;Ww$1ff~g4
zKw-DBm>Ax5U@867S51u7OcJCN!g?B@>-t(i6Lvd44T5Dk_|dc@+CGPef4W}*)I&@S
zSAEJ#Z|r#zD(Po+ia%e@iwI;s<!|NM1psMLL-swzVGwca@|WU*x~{D!iy!(9^$s!J
zznV+;NNqNr4gsi6a@voudy6_|ZA)}ylzM;n>%ruZN*e8kLZAEZI1C?JKa(2!y?j_T
z@j*e8*826Q^&d!dbqOvUo_n*DEM9Z6Guv6iBdxrik%F)3`bG)$A??2h+(0E`yZM+^
z18~?gKf|5wZe7$p<^{>amh#mnD1B~cVUV5(KaOf5N+QULgRiP+sCtX~h79jcJ03Tu
zv~%P>*S=790r7^xXnfD+{dcA2yIqoJWk9ow5}Qfk<j{R-nHt;*VXq~H-o`&mYqJxp
ztR1OT@s*NA93c4l%X}WXdkpmHT$wY)j-cHBavB}|jvoP5gDiW!8&YV&+Tq=*Thf8t
z<QB3U_0|ISCKNy+?YkYsfd+U@b0>LS&<(qYh<O((vHe}I@J67m@NEv~&@VwTOO5&)
zTggt~6Hmf2k?X($LCk2C+n=!M@moJj6XwVeej~gW-thEaI*8c0f0e8Z)LmS>T(5Te
z7+CxH9F8NJh)l|MEuZ@bVT$JX+p!JQyucmV6H60h^lRdmeW~ZI^3h{#Qcz#G#ZVGx
zD^&KgWU}gkGhR?2i6Ehz%VPimnt~LJ(ou>);O3~DFJM{HtkJ|SrIM4N5~xy($=^=;
zjAHf?r?Le}{a1F!0aUePRBOLHIVCJJ_nO0c9p{U**zd_7V*O0k3=)!BF3XZ!f=#jV
z8?_tH0dxu*<Sytu?gva@vM;Mg<rJclmNlK|bCs4TSN#DupkTW`PlFQ-ql3KXZK$Zq
zl9SwiyHPc<I`~`A@UMHzIMCj3pbFu<xqK4kUE#9<{u9jx!hgg!pcp5gJ6$(yaRjsr
zv-tTjUoc4d8|Ko{#e>DD*`m-b2K8~`opZtj9LQoosIx_fnud3>BCgI9e4hMMWYJU}
zftV;8knQfI5z5uHPcP<Nx4NaeLK?@`jX+9g5G1DwjlbUu816R)ae-Yf{7KapQAMVh
z#=$D3z1_MwOx08a<V^H9K|64)LUB^;Cic{>QCQ*aSi<Oj<J1?<vtGcqtq-%tfBwAF
z!OJ0zcE_pJb~2ftcibNT!}k*7LGyrf1g|E!!3Eimaj&v$wx9%@1hLgJqKQ6v9qCtV
zdJi$t1Sr3m;5mi%>K9sl#F<fMx^M16Zf~U9cHlQ|hoXM<G6@`hC$Y@}o!R&a;~|F|
z&!1n*f|{0l956*>G9UnJJKw?6g8Y>v20`m0I<J94BUkXj8!x9VDgKw^e!q2)JPhjU
zAZBapz7kx(!xYkxQ0I?`GQGG*){Ix>&+kbUC&iNH+${Z!00kEAjJTiTE$f}?7jwJt
zfj$R}9`5?Q@oV)v(wQSv=(RK8XzzSD+vyqQFMHGRfoNhpZpV1rf(gVYu>(wdlciX$
zko>Y}v}OKoNnLB}16xlHiwIwy=G1~{zxQ1t;3Ap1iYm6QI1&_2wrnK`%&ya2Eb{;9
z%AB7CkwzEdySPS))Ow;E->d5MhLucZgN(>k2UCYF`o0`LyAum{n>D#l?2qMwrFkm(
z{}lI?QBkPfzbFC<C~^crDMdm+S|kVbASt1MbeD8@qtZQei;Q$gHv<B~kV;Ap-OSKA
zF!!1Bp7;L0-L?LoE{hK=)~tDAKf8Z>Z(Tmtpov_Su=-p!`Y&wawZ?gbKK_g5^lWtJ
zqfn?i!_mQhkicjBhJg%4NU(n%w{t^rJCK?zBfuSgJ_hi}wF^H%SgXH;q=8zV{rAVb
zr+a%3ma3@du=F@>n^Cz%=)3)3GI&K7FT2}eV@7SR<y)v|(#p_cSL-KhLLFU_C(Hn$
z#^(8t9b3TsPM~(ll)4Z3YuZ2epChqI8DJHH@Ayzr`+8W;&!jpwJ}jCUV5USk&Npj?
zHIrX(o!35d0g2U~!u82jBOtwK&+S}k>phgh)&96=+>^@FSL_@rX{^|4e)MEArZH7U
z9;XcM|F}lRZJ^mvy{D%{$8!mAO2O}G#!|r4Ir&%t7?D@SYPaDUz6WgwfUY$@{9zXo
zPpodRli%dH4OtJ`p4AmBC<11Ba1;%lk0`p+Ng%RzN)IBM>d(!#*vPM4d~i%#xg~3_
zzX5co7hs~vU2od){?eQ(E`RCxhSa=9xJk#3<HSes0y9eH6bBCNJa3wy@xS63!9$V<
z%D+Lr)sil@uGsQ2HkkD%b!|WJti#DhrOyIlD(UUJ=QBOMgP&V<zO8@8r@ybb?u|AD
zhj-_WqYwqpqeN(MJ($05%J{4!+2PTy@A!#(QzEcpmOtwXYD(E-vjb0zzH6)or{8;}
zUr`@DRlp)A@3`yPZ&dowgL|tkV?iARewM0&UCi&LY&kyx!($JUe?(9uf{D<^OTOr}
zzy6#l0oHX?4b<q32@Dz_=h_^cz8w7}H;y6NxYB5#0poO+Z+g|9Z45MrL7v0}oblWZ
z{>?ZgOy@Y>FGs$=QK=aIMpcZb;(dqgvEMi{?+TbWpG$Jw=T)f>R%d#&_>Ir9jToi6
zmyRIW5B`e<pjLNL(2T^0E9%DQ{?7cEP+F@N3s4RKZ@2UDVS5VqNOFUs?;<cqp4!xl
z%GzV2PTj??lj4myNu<4_SrmA)DPu1_@Ed!RTrhJ|9U|V;^DFGO|Ib+vJq@V}p6j=5
zn|68v3}b$K?anR*M%Fwwdg^R5yIZjW25%vf(XYW9wMKl80j@(XTh;^*a$o5<(&nG&
zH58!4q;&jsQd;{N_?yuhhUbA5XjrgjKr(m93J5{{xHiOlb(j1Em`^|<I`rq{-%S$y
z1<--%@~@e?AA$fV;VNB29GKL;Dku}<3YC2)Tntf4^e^$Li-bHu0|$YE6;O4XpgA|a
zT+!m~9S-UTXSYE7umML@_Ft}_-XEITwFmo0t;D}HLCLtjlK_U42k_rFbEhOF<z;L;
zhaP~qmZW<naB=GP!LZ57;JLsUyt-xSL5pH@qbhThyydM^QjQPI2O(FHE~|`n`?8L}
z5N7|#i-TW+Z@U?N!V_t-lf1qKk8xpfEI9xv7^S|Vs5wc98$;K=<FlFu27%7&C7Bu>
zlq6QbiyMo6B|nVGyUB?#M13djKC^x?LoYEd40Hl}<{92DYGz?L$?Cr4YFR?T>gxbc
zMH4bs(qK4KOT!q5D(M1^7CxMDbHAwTD5S=Qr-k||q_v-8<_++j%{Vd}Lh~B4d8SP2
z9t+M;knL82z>kgJ!1@W4xJl&)DG1qqv~aMgL#L7wwE}rKXOh9f$R}`4I2XZ-9-!m0
z3#+V`>e6Gg?b9(CjVj+SYInQ}wyxWZ;tT+CA+QJo%+N95F_Xsdy9v&Qt~~bQH^_5W
ztx7)wZ%d(sp#VVBBB-y(Q{rjtLJ2%3F%N-JnUkYkN)7Y5(R_!>opsOaryVa>PN5sW
zCZzRl+z+`Ab3ru>z=^Vou5|G_su;Y>b}Jg6%8m8b%K4u5eV*slQCYT)Unl^P`5pj-
z*Jll`qCWrYguCp!R~fDSoaeC=V8-pZpaZ4W1>A6ACD`~ecXI!Oor>wZB(z&LanM8n
z>YaTslpbeSmT%wZJ=4#`NXaydbt7c}=d}n2G^|la$WGq8fPjQxZ+1y-aN8jFuPQ~+
z19hA_`Px<7-0bs;6WF~=2a&!nrN8^oA_udFMR)lIL~vPGH-N|l5!3I-Z(b7PvT1ei
z4>r4wav}0ZrHp1}0+fp-$A3-(Y8YVl^8)~H5f}bTaMwKYObz8QSA7%YanI)xD^)=(
zynVa#RA<^rAdt@Btq!agC`>gm6GK!r4}fYadn-Og6S;i6)EUM{E^Y>Pp_sv`p}<28
z$jM>2w&g4tRe@KouhRW-^=WijBkW^;`hBBUs&h(5<8!a<R~2#VR)RZ%jL*f1ZrhQ@
zh+C*QYV@jEvv>9mHn%L6ZkTD$;+M?A%#11J>mD+O0LjU<E$=khOcBP8JS8Kgny-+^
zE60lCVzZne2SQOkr|>WYeXYu{T4qXXhZi9G;^7+!vQk<AKVAGdL*n^M1FX($?-NF|
zB4Fl}%tA%C0Z{Afld{FKgcjgVfXo28#m+-O4vnl@IIb^l@1$hk4W~8N7VF`lns8E*
z$@s!u9u*}3qO;txWIkzGiZ%b7`Rnhh0ZDXQcfdv9-IuOC9f>5HDH9aGTfV8izz3m;
z5v^>E<(kzI*o8#FeN9F_HZT5id~XfZ_bTyzVg9A_tHf~LrpNu8gG|v6yeG<yg?9Bo
zbQ@*P#U@7SAr;-m8w{+ia!78p)JU#JH%-a~&vEH#3;e6#f%rcti+liaDae=j+i*?N
z5X&Sunnt=G9&`j_Y&FSbQ{g3bm@5&|yZzqt(`pNhsMbnS2TXh32s~<=rA>niRdIEC
zvZLe)HVbY$A~Klthcv_N?`RGA$Idkm59q3B;?9rDssN#)k@-$pLo#JA#Q1dp8PD^>
zH(vbqzi)%lb3qN}Uv9zAG@fw}-R8`qU->G`hS8tZ4qxVPYoNOY!nONE2FiwOf?9%_
zOWHi-Y<eI_6nS|)B)o~P=CS&q{4%mUOf6ycb!_rbc}}lHEpY?kl8??Mnj?f5%%l9$
zi(Z&X-AlIXBy??K!H8mG<`ftp(_%7bPXK%C9?tP*leZE*yAFJ85_49qDeY1%Nk$nH
zLoJ<1O1eFa9(<_#!P#S+^PU?f8}=Zx!J7=MjPpp4sXYc?xm4mnS|0H4w-<abu>B;Y
zzoy|*@x#5@xV0Yxys41}l!Iyv02=$T?`RyjuQIU!^+|k`cn>7`TGF|148a3!2?4Sn
zhh=?Gle3h`#@GfD)4=aupfQl13SU6Ve4ySqmwO$ZD|pa|No@jQcl7~vM-3*{?Gpf&
zerP_vVvwG;wTH&s*+P}LbEYT=1F|c<0!qN_Km`bB$$?Jsh=cDwiF1Ki8Dvs~D~JoL
zNS~jVUt2>5T2cG1yRZCsxcN2h?qesuJOEKOe#f~ND=4^3L?}xpCOf1jM+HvK`vwH`
zo3s8|eMqUOp2LZ{+(c7=1ChE@ff+Mfo2SJ*_DxT&Pgcl-f}`i>u+h&`l5Ev~=a93(
zun^2E*c_)H-obFRTqYO%;$T$iEqR>jNjB~i`1_mP^UmwK72lIAetBm&OD)R+VF&Ir
z_lf^;)56#(8AcFfCs54y;=U%(*IzS1F_y2PHYab<&YFeMrUn8NWxW5*0)vi#NqWT~
z93-0_YE&T-QhH-LDBIkx>7Q(HFOb}bIoM+S#%awNBi544fJI3ilSa{AEioANcY9(s
z%D?+Ay%O9Hlbw8MbQrj^(l((tsNx6w?Fx5OygnKyN!*RQvh1#xsVpCAd7N%Qe9#(0
z&OFxL-M8^i@zIOU_8z}m92iY%@z?Mf2<CR|5{MH}{-Qs9*xiMyYQqyV9S3G8g<o-R
zOY{h0KTr+r^l?aO&h=5*pWdYQKIH$F01*5=OpcL8Zjvd*N#j7GDE*Nzg4cZ0ykJh-
zq-W0bq}n3doaqJmGgb>=MIJ}`K;ZSFaJC-=dUBNRQY;aHWx+h<nz}NIOy#p-D}=$p
ze$oc3PA5OYLbuNO>Q<@TMYoEobJBX`itczdIKAT>i4WX+)e*8zcX}OwL!$li68;*P
zr%YvhqSg1r|4+9vy?-3l3EXrT#j{)YXB#4xe(Bxnco0iME(H^_AVjNa`pbxF4NU|H
z^LVwpxXEOI@Rz%DSVD!({i}mLs#65oExzU+3xzL1%-YV3^QDQMS$udM-M~C2k2P5H
zrl&s=1V+_eI`gYTAFB+O1fj93o_@!jsOEPE+_bwbP$J}Mq;<QgN<kY3UsvV$etPD`
z*<^gvSw{p>^dZL(zCZrz<2$C<I3oKgUzovP<if<19;`YBt76X#u2~tn<c0%Qwv^k@
zmWBcN`-4>j2G8isCRSa+osK^-{GF^WrA%CZqKTV>svL7WxUD2U@!AjG9<UDwa6B6;
z4r)fq#fALi{aKl8X0+BO)~F$pd+wBj$^>BvOe9!<8;X8)O?hWQL-d$W%&Ajdkche^
z07DpkNrY<IGdk)7ru5rDcfKRDxlm^OQydVMD>I&va<73_0aj^Ry5jE-4`H}G4(cdN
z-5#M{>)3wSs><;N7Eqge-QEbm!GYQW^HP_C@7KN75^2%y(u<QjJgt)SxmeI!LRJLR
zrEK>#oD3k{1yeIXHcU#_!GWpIK5KF)SM+$lvr5u5M*oK|X$LZXz>jXI)!q@!=}k<n
z`Woj1#V<6zV(_laCiFJ3D_~h%0y*O%mSZ)lxa(8ihM%#gM<f`h?zs;C!yDs%P{Um=
z+fEh&Tp?5b9LT7VqW$r<6B}|s-0A*vsTl=kmD;RH{(cDzx(uVZcoMj=az#V$#Gjn;
z5Vt8eL#95HreKflR9~^H8NWNUV)8W;JfBx|s9P11;HwdW;yQm|j4Cj-d59j!l2E^x
z4mfa<1Ok09J+ZBLVDxqPkLX#V(-;GZA#}FCTvIVs0QY>#kQ4g0g!AJxwcwqCHqjao
zYrG-d8ouI#N18EBo?rZ`1uc~~j4S8rz-}+5LOL2AM=WH{xOePmE9z>4m?ImbmNj@p
z9b#Age)Rr!5~A*83_BVj?LL4JjMl6{5moNh*U$tArH8T%x=q-S;l{&jJfJ8dElBYl
zCjlkfi~Cs~exX>*Y=qbmhP;U%bF<%o??<xdd@zziC^MlBw=37OR+ESHLlc2Pc+r9H
ztK$0$Zs91;M;fEqdb!IlcC~$lS>XH(5iA~mD}vjT@x>iePfWw5*fDNXZrFF{$5Z(g
z<{Yc@cqd4VN4sQr=rp({=JD9M{ri!ZOaNQxL8m^X^ef|+K!j|C_jwRL<}i%vY^Us!
z*39d-@^=iKDK>DS5xqD6US?)Peffs148dGsMJqhL<c#na@%)hxunNDhm7$H}{_fT8
zgG-##l1T{UFb~&#*Znru@$D6Xe%xQY&>FEb%w70YMGSI#${l8mzL{d15~u8dO!wcG
zmL_)$B5r2g0?63lV<f?9(ac-E?WIK&)9)`61E!2lP#|G<{Xw-@oW%A@*CkQRxpf=d
zaL3(Y+dZY>0RE?*SEnsS<s3YD^fC_7n^KPF81Q9i0YLRfrE4k*Lph#d4iU3HSizzA
zlfy%DT5sl)xkG2Fc*L!@fCq2T^=tbzSxb;f)Px`zJi`_xVrv*yx$V#E{{C<;?xSkp
zi78O*3|nU$q?rvlIMa-uzs#?R@mv271~-QJ3DJ|i=?}+yKU(8VE|2-CTcZU0V;o!C
zeJ8N3Z+X9&;_eGEHjR}r<fGM=!r?qOG9DT~hFDNKPMb6xA7mPc^|i-Ue8_2P*UcT6
z2u}wZj~Ug_LUe{iq8F%?(F=yh%vE04Tj{esR7ecBohjJV+rX30nv%#i!e^H+Z?-K_
z4`z|)7K@jFU9EKfa0W$Jr_L9iiw&2UtFr}6`skB0@$oB4t=3L_!OJqRDHtfvn?nFg
zF~)yl$I!n2_SpN21{e;)?#Q1Sy6kB_!~^OoKd_WV^ZI;bA1dAK)5*ZSu6vRlNmySi
zK~NEAcT5IfW?9YVY0kc|!)ORrhV>+<1fF<|Bk!9tWwbje+C6=E2n?2wX`x6!L=`+O
z5>b7zw)i2ky=7-fvCAKKxqVsuLRUnEj=9{Te1hy}d^*ikRN`<{+-NfY9uybHeeDCT
z98VG;3)*tuKWCKsux^-y7Q>J#iwQ1l?RpD6u|)aymCyDv%K&FUHdR;%x&mbB3Ow5*
z&X?#8_hFiS{D7U>7GYfF*X!sC91$~Y4I7;#Z3`cPT8&dkbUNa7Co_>uCFUv!A8^dN
zbgg%A^q;{6GR=4+51|fFj`-9?noR^$2!eNWTQ{iY6YXYQ1W0G{-hUxg9WD(E)gqDb
z+9tT#a_3$pgNIhwueQ>l37o5C@>C3gxtdV;Nvp2|j_gp5)?8o7esn>Of^UePzr4@p
z$-YY;CjhH!zSTV!&5SosEmQ>=oRO|Ey&ETa=LmH<7VRt6Xu^G=-$-o5@YAL}{Zc3!
zzQHEQDE|(pZ1T-#GmnIbUaZ*LJUsLS=$BWjV)N#F<ifXNBt$zUu#2f3a8_(^TpW$Z
zJg0JF;+vm^Z5%4Acg#5@u$S~#7kg9&UL(dkWR4lr9{({~-qmH@kNcW;9lbDqd)!bO
z)wvr!^Y;1r%Ez)BHCBj60FYL*`=`togI4wS1Qn(sSPzEpsrXkh`|~u}j*qkItwq^)
zvodh;y1}`C3WgiT4GWfgkBUW>)Xv82HDIILqOmIm^qxsbi0FdoKEZeN>dT!+WcsfC
zbV_DcxXnF|o^1?78vXe=;ipsuR17%f*)V>x@%HRX6FUoO+fZlGzfN1yYB?BLSAjIf
zoZREyUyt_v6K0*6)iD*byWK;#`CI25?)`)Td_iCJxhwUBxS_e-AK-J=bfxffmPkFv
zF>ME6sSCJY)<PVHTlT;t(l`D1(lG{b9p$Rw_<ltG$^Hnd{&LqPw`ZH%-BXdIi%^fN
z=plXhL{KQBlaty!0Z3XW<XqMTHi!!XGy%Yt=2n%-b3OpYkj>w*k3c=GlwX4hx5Bf-
ztB2d!4%jFI^`_!*oa&1yT`OY>#Hab*OkmN6efNg1XOiC-#8=$`^T4M0pZ{=Y@Qv=y
z687ne@C_|FQNP+h57E1&-VRu=@GVd_17(+(ZNw~QAqZdQJh7z>`RPnlx)R%i<LWkY
zspZasw&`>&5}Rw<PLeg`5+Gg_8sx&y#+Z+uZ0W$v3v$ygNRMMk%$Ij&PF5M3{!$<|
z15|4r1qzvVrjAe+Ut`&8ZjGr!JgKhBLaAV)OjfIMclyK0UW)<5|8%+HnS(@di~}+X
zyQb0@o_oDK^t<!PHF`fQvKZ8#q1~Q0Q-aGF;#2p?%g0(*G~E|GCweCd=B1(aWlki`
z|C9oYhkaueT&C_=1SnRem_>{6vQULeq=bI}`tn@ZZHIo4p;l8|*=-pzWszrt6P)jW
zt@?dZKyz)yZ~`x`!~ffh#Scc#pU2Z;@Bac=eZXB<v5Iu87pALY>V;vu&x1;awX1Z$
zdG%KL9I(Gg;glMjCiJT@;l?pW`?jNXop(D3nX&PRRvZhHHt~`g4Xo$cjz6Ro)7<J3
z(T_a3PEUGgT$_ie9o7Av#yYDbjZR3c{gq#b?54ZbD3_CNqQ-m+?g8YuU$4W<nQ>rW
zG+8ORQTTnR#fDMk_}Oj`!}0zn19)5O!mVVsi|@zxaC#0qz+F$FocGg>y{2s%IOvAm
zsis=^C0!}sXmg_H|A9X>()<{ey0nU7QVBdJ`*4O>;@&?%qJ>pB7myXJcY;+77TSxW
z>pyEM;hw6~Yoe+o)@+)^u(e=N@clSzR@4U*&ysF*v#+Dg|C&VG6q-->LY2~2ilrdq
zx;?-MB74$#X0F4WI`m^YhBwGpUr0GbqMk~@c!Fh~Nu13_;51~ULUY_K2sSY<4p>Nh
zs;tPAXWu;rwW4b}pDL2^lkviyT&8vNKJUiIV2@D{p|YyxrBk%<2Ycu<gB5Sne5RZm
z7WbO(B;UD<uNqleB4S!pd#mH6D4nY8v?ZI%>8A~gFTai%3`K5CQ3O}VI=o}8t#SL<
zp_t%cop}SwqVzGnGmfrL5V5~mS?4@=Rbg$?2Q||fE*spuNS*v`HPj@dynhNo3lFtk
zWFa*tVNreQ6ekZpU6Wn<_EMSl!5F`c49nnpB5Vmd%OP=Ed9^f@T`c1h1-d2#^r<`z
z5fN4yE{yw1*xf6_udmK!Fz#X5%S^Z0Yl-lC8bsDNS?7uk$trinYZDteC73&z^96zg
zpAU3r)E+{*To$p+I_>;b!-NqbATrFMVM{oY;LiGu&7_7qeA@V&AztjU5Yc#2t~|ji
z(hn6Ea0#49MPYs@^0~^orNaa*!nI$$8P>R{Oqfb$uJN-};YAkP7T_`FzP)qQ-&T+%
zE>iUS2h6$Jk1^jrc{KMz;<?(=?!!A^a0dThpOu!ry$w<+Fuq$vD;wzSG>9m4ishAC
zO%*FHiLqo!Re-9l!yY-X2Pp+P73>**`Th47-N(N+_Mkr_Mkr%v`T3@w6l#RTVAXtQ
zR~oMD30G4IpY4i_c*A$ugL-=k-<YSf*4CSAsiX^Xy_;rCGQs1K$e?Aj!shUch^eL2
zTdGz1C--8%UR*6AygGv)Y^ml_dY~~s_&kr@f>3&Vw(-?|mF8J;)=99@*5^6aN%_?!
zY=iqGcxAHd8Fw;!x7ylL^u-~2=HH;Oucl;(4I1_!?@{Lo*-{gm8(<trzcn~szI3=q
z5{H#xeZf-0VrTiQEOY{lXeHr2!e0}@KwV~3@UrD~bK91JyN_jJ$*Gl`U|-cl-v(#e
z^4}v&wl>zo_T>g@T1Yay)ttbEkM!uFjh>AN;uh#(K}M5u&Xp>%z8F4Uu~2lxwh1VU
zY>}2aA@rO}r)=cpn}+qCbx5V%Ykl!dxzN{BWh)7$>2<BGL^z&%YtqC-#KT4*w@dEB
z(JJ#vY(|}`lXuFb_ZetJ6PobI<)M)3=t55OdC0y9<i*P8*-DrU(@E@gw5Zoug+WnM
z)9RKSo&b*oNwXeOzDHs_Pt)g{ZiC{W0h==ib18J>p{HGD#spV`wSduNP?)xAYnj1h
z2~u~YL<*s)_=6}QRfJb%G+svf@CU-N0U@6L0#f#t3{i(>lekhn^6~J2s;4lVQv_W{
zNBi53hw5;1*vB4}#W!fkAA<{$(-vI0P|$98T6ViHeYEviVeNf8D50U9Fl&pL?yvSG
z6R*9|Q&a0B`NXXZ21G-P6Y8<=Wm!IR`mxe32_<-VaY=p2t`<Dy$x15%4tWI*!yHfL
z5+_?E5)PjTUxWqA!$&3kg*QeYJ~Fn_ncq2Ah=(GMpzcwBmnH{otu(t<I+QM##({Ec
zZDz}jv8!A0)yD61C!W2rT-s+T)$N>kb?x<p1@A9sd=oF!X^PVsn?wqioR{wKkeMA^
z_q1O7uc7rUve5;ux|G-1R(k&|uo(7!--Ki3<BOm<;#3{34}E3}PKcypr-Ld==oC{a
zwEEP^9htF<W3R2`JePsW&nk}Nl|*kDR(=)wKP{(Hiro5^^Rc%*;h-{F_Png$*C6L2
z2L<0^CT@j;c2+Mto)YGq6On8(Jk-D%z6#oBX5GHOGII}l`FABN^GWsJCnfr>i#Pdw
z$$6{P=3Vnd;q_`<x~vklN=D!HE5Sjz3-yKt#=66`LeDZxXR3uBOh8vtk_5X)YoC@S
zmfq@Wup|kPUV@o4eAO2cE|dJU)VsoZX|;J4j%$ercRDvng)o<663RqfL!A@Twnj=Q
zJu)|<z14fTZDX5nJ6UO%W$1B_cm-*5jA$z!>?Cn4q*_`!D{$!C)1FQHwb^xxQ?BcD
zm!hp%^-g9q>58kx_b<tW-HGsJ#o3+juxvz-MDp5>#xrb0kdLY=n635@>YP|EO)sqX
zD=w!wdM!N7Yh&&ph1kjK-SA@sUDCE$DqXybE|(DVhkPbMm<py^-}!kr!Tr@h1WEJk
zY*v;|&Fd_k$IcuSo$5U#Q_IbXDt}n2K>Mwdq-yOv0VnxE>6eK5LN*i!<w1hHn*UFZ
zn7sP@ywByUpUaaz4>kJX-DhFV987jKE%=h#;YlZ|I(o{?ZOqNXvJn8o=c9|=)*@)<
zm#@WSqb`@^(E6VqY>lkk2aOvN6MjZ)QIbtl7U|u$i*1gAPCsghg4)K8iWUD(O$hh2
z3fK5KAtk3=T9|TQu&cV7Est4|_l$mtGr+=8NhFS=2;L|L=Ab~IUkdobVfg?wBj&A?
zXHW=R6L8pe$VJ9x0*yhCLo1TmLy3F(OCQ1kC#tkQ-|0{7i;I8Gn4i%v%@ieTr<O-9
z93}UH-Py#cNKC<mFN&ku(X;mr7dO?anf|*RN{S*_y}VNy3~G>Mz|OInOzD;Lj8yIT
zZ>_rp%OO@#LF~7K_ouH%)qaLvKXM83Q8a5W1cOlzTe0ID`V2jj#Hs29`!xevnS?Ya
zkQyfNYdn_Sstx58=!OWe`U)_!Qzh$4UT>pxQYm{o9;PeDD)UA}KxK4ZQ*Nn?<D7O<
zPUP9h0U+mK3)7J3S03tE&+g@BRi_s)_1jg49h6(~F2zY@P0Dq?7#*i^H&lm8{#fEl
zm`y4B)(ltn21BvWqs?MA6kFo%pzqtX$TRt$igHK|K6Ck>5N4Ca5Z>eK77jtsk>C7@
zWYR=~6aqpjjgekx;Xrm1Q+P&n&qk=&ZP_xuRF3L<#5)Ps?F(MqYsj$dhVULyiIv)w
z(zc_0{f$^A_668>^CZrh&u)PyxteS&JgUh%>cRHQgH5fKqUi0NeC>IN{NIQmXohLv
z@^!?IUS$Gk?^+9e4_j=Z?xebJ>AqM3MK4=|mga1EF{%%d8n0NfUcnzP9N*8h_TH~I
z-Z@Lm(`kSC8B07XA~}QmLu-E*JG?KsU!qQNwNRzxaB!!b@8izcg!mzm^99^_t{BkZ
z__5`zb-5K03)^b?U#)EP2NWlYVJZ2a(QM>Z&Jw<5^w+-R$-gStQvnLMphD$~57@Hs
zThE`_@0u!MP*Y~%MCPDM=QR?gMB}|lUTi3;Y0KUGoa#xL@^GowfcnNNGW~b-qMw<r
z;?E)z+kVxrBB-p{pAIB=BP1EmwQoLGe`;M#ZB;`3)PT4gwk}G^TKK5&(ONhkhdetX
zvqfM1Y5avN@A&(2*Ma!V7Qgo;PLQodzB8x$@f7jSyps*q(<D)oRy&yaz2e)AEOlS~
z4!ymZW195wUq)p}7<O(w=+TYf)Vo*>zRDU%6vBK?5OsWS?^-l78?vE`_ua6wC?;>?
zp|<hw#vcDeh>j8+H0!cG(#_GWnJzOi01wZ(jp<uaOqy2JUY+_K*@Mb9Z|(aRIl5=+
zkXq+ESW<IIzEm~##NqYzf?l&;=7ZVAt_aHD9BFCkO*-PdI9Vpp4-ZyR!J8<bFl4UN
zaA__Qc=!eL=f&kFxt%`*zfescVXE@v$rIv_T3W3H2a)It?P`lS;-HWFo=I%BYNe%#
z7b+`G4I(nbLb_X4Tz6pEY?DqAgjts3ZTv^k%$4=4HoAKrx&s3Px(Cm{Xg<qJO1i&7
zj!-Pd!y^fid;Lo7z>|_V$SY*z7vW#u9%OzQJW7_BQq#-3b}-%Ox|LL}*HpVR-~Q>c
zqoZT#D4HnQ?O;IAK;tQeJg%E);atW1uzIO>4XmZb_lShMd3S$){!v%Yq<c0@c~msi
z(=Z!my+!vrp{A~`4t&h&ED)dQ4j8QAcsvyV+D^s`&Uq~TT<VS?J3cwdE^!x2p(*#>
zu`WLn8v-NU!l*Xs-r##GspQSQ>c`K99$p;XVeB0*(`&MsZFJ=zqZjkQ{glk@86H=I
zriFGh^^Q9^k|Bgj;F0Iy{`*X;5_WdJRSsWWNj4C7JY4^s<JCPf|DxC_hGBlwcCPu%
zeq^J%X$1_8Ds_LBqA!vuo~V@XuZ|YtX>k#`%-?XC!i{R0J&Go18y(&_%m<(Lp54-S
zS8XwApZNoZl-TEwSSBmwV{_&z3{kL=jePK_h@)uywl45TNU_O|=q4SBxrRt)Yn9i)
zL6%qd$H^KnJg81%DElf8cYEeXsHuOu?gdQc{NF}?<o`1=j`4qb`n~?2>2aY2nl1Qk
zn7hFX<^4AKuz0Y=5$C}jfvV&!I-<Na&$$RAYE*(t^;`vBN}4mul7D(5gQg4|lE#QS
zYtPp|-x*a1b|ZYG$Ny$b^d=q^f7PeKhD>v}uizwZK}H^b4w^Fu8?JCWe!o*LI<Rfn
z0=g0YFMoI@O6IN^qFh~EX4XCD?BpiyM|25*X16rW{dL+hGTow(p$pJ7QI0sn`9f^y
z!pGho9ka%@7-TkGYs=w_gpc+6X$;da>#-vGw*#C})6mw80ds@;NWHjn;qlqo9mx55
zZh3-BG0a_d>X~IJj9d=>yh;yYx?c=|KsrXY!*#C-Jdfzs3cI3_T7LFbNap(2PZe&j
z7?sH-C2Vc<!41w#g3heZ;t`n4HBaR?jjvQNPRJ&c?r0B|_{k+t{qoe=%)S+Mm`b65
z`S@0bH>|4aAPa@EySnUutD!Lg)qLhQ)9=M}yK8CB{oBY!*M>{u`(cLENgZYga&qzv
z@n$E)XY42FY%TE=C~`YF_cf;mjSp3mtAFP>lscpA)@DBJpJBojSe*ORE*@#Tv>h0C
zRR4;VCKrz28jK5AH!RWf=utiVrA%XhyGgqlw`p6!lu3O#Uj7S?wVAcD<x80udN6gs
zjemN4dio;s;Ds+F9`Ve1aQ5<#NzBokwAup`FY{yjmX;QVco-4A$NY95k^A<az39Ne
zz_m<gh9OfvqRPqb%lMXTpE32jH|oSs=RXZ)US2MQFwiGf^T#8am4`2(txaZqNtC|6
zzAIs9W{sD={f9yvzx{JVGo%>SWM8`QjC0X0vo)^gM@58ted4RiPM_3pZkXZt^r%N4
z;az8sypor5mlpvO-J0wdkJZ?ZnBV6i{f)QAOZz^sEfa9w{5Yg^d=5F8QFR);^gWsw
zvWA+y@6i~5c>6h?_<+W--edW=_NXruW|YbT&QlTp-jX$G#*=Hm+clebV)HF>vtMu#
zH{b3(XioR?_LdNyB>k~*+KSZ}%QuKyX0bzWY_Q2samt0gUi9TBb_v|t*my8#UR4Wb
z58x+T9IG9zRf2hAUH1f`<x`*)^3d$0&GCCxTe6SyGj)t$yj)M`&N6X9%cRht{2}rw
z<A>irh5x!s7g<9>;u+3zZn>1(HvPp7JvZy0Xb*r2h2q!^=BXn&Xll#aU$#6X{o6BB
z2p~o8ksL2u`!z^H`)$?+Geu*R|45ewcv__`mAuAAF*?=aIYi%hO=M!*@ksf0q~AkZ
z3J=G?&HU#P%!q#dw4%(^OL=I9^F~=27hHOQQ+BXH@O}1GbL04y@N)4Lm_FJvZ4dXg
zWr;saaYkh``Fahc3HS?D&^26NEq_Dzf%)8?BCaYZ(3$Cx2(>j0zNeMV;fTc&i*<e5
zpFe+yhl)op`&RaM)pq)AdK#Ro_Ne62Dml$NnJyiV&SY5Zm<*0a#>Q6G4$c;HW5m6V
zKUIDLow8j)yL^e%5(rqM^bP&LYY_Z*jT@d;7KbCDxor_7DOy{TYlUh>LhnV_W=<#9
zUfq2jaYvL@L_`EkarBZy_L^740Q$CW=7V9ZvCD5NOLgkFBD$B{KO3Fq4h{}7h_2ZU
znOCt6*(;X?oLM&hdu8LN|KaOe$JqRzQW8<(NfvDcKX}C4^E-XS{eOR)jAu*ki=WdY
z=RZKX!@U#NJjrCe_!8w?+$&!!TkAXE<k1X{-cY{@;gkDvLoTkaoFZ^?aGvZw;eUx8
z74`3(k$74u9FF{KBh}Y!>mSTGvEKh{Cv8xv;Y7^drff;u0?bT<vM2XR#JUWhT-K?h
zUwe}83&2gQCea`GQuCQw^4>o6d989XX}e6ELX)bn8UWj3X|*#?_xASAPTBNL_Rc6p
zMO@MFE|)kuM&B5vH{l#)RE`Sqn-WTCk09w>+G{_^;?644YtYsA(r=p4?XHQnnXcuW
zoSK?qWm~zpQfzYD5rMqd*%!d3ObRk1gzJ_t69`J455~~Nc(FVe=6|JO2`}#JZ<}y3
z#pO!_Y51&vzKg(ZXG$OgVd@0c&UB_>f(UDgB2Vlc1`+*!@AM)ls=k2M!G&+1VtRxp
zjLiknQ#D&qB1y2&XP_?nnJi1$NybFObgwxxrw`0IFz=NAS4IfX16g)%RMMrjT<8d7
z85zF^ZybM>y)4ujbzAj?6RH$S5xj6&LtOIPj4u_)#@%~sy3KE&+MsrJS~8RydnPbd
zCFci`MP0M(P6VTq@BjPC2!H&C1#icQ3E-VuntW}Gh)9`SD^f=0_mXy!Z2zfv!nJX1
zHC;Z+Qyu)i<?)2S=vr@~+GZ3P7+AU9`65-pydXE%WUF%mp<xTi&dispPys}|YqHe`
z^VH1|B9=+Oog)7)aZ}%enr+Hf|0YzEQ&r{M*SUj_kB?4VeskV!^TNCG=Yl{6c)8;~
z;&7y}pe|Q3a%N<NUtDUW9(_SY_Y$F@*ac*8rq$B%&a{0}wG{LR4`%rvITMrm-$Sl1
z(cTKZ^K&Zblb96MWpzabAveo=u4Hs%m$7%Ivo{zaQHQfq;#yn9%W=J%g-^`n3>3eq
zFqFGzyh}!yre!+AV-Jb>NlYp<x#AHDV?Mn!4`R#H8gs#hVY*!YMPTfj1DFl;Yiw*R
zVQ8)H&3PK^<?wNf_ldZ~WIBTKtxlC|M&dgB-Rr@x5&vNWD*Am22w($2ODX!_6Tg2~
zj2$%F9BCN9vr6e?iGi$|`vtVosoKRl3Uz#pMk0;O{quTDI$sXEGhI5rNWbLPt8aZ;
z_QSSr*6mX&#Jyo>z(xmX|2o!b>DJY`TH9&$^H!{z9Qt|H0JJP|lyT!TteXiEEB~!^
z5?r8D;bknx7dP{R|0<z-|0*GcWj5{g{Qsqu^8fSWw->S39HG}g&vaB2;PxRWrS!V&
IZ^MuO2Qg^l_W%F@

diff --git a/articles/probability_direction.html b/articles/probability_direction.html
index 99611a1f..9ae9b3f9 100644
--- a/articles/probability_direction.html
+++ b/articles/probability_direction.html
@@ -26,7 +26,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -164,7 +164,7 @@ <h3 id="probability-of-direction-pd">Probability of Direction (pd)<a class="anch
 standardized estimates, and <span class="math inline">\(R^2\)</span></p>
 <div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">fit</span>, standardize<span class="op">=</span><span class="cn">T</span>, rsquare<span class="op">=</span><span class="cn">T</span><span class="op">)</span></span></code></pre></div>
-<pre><code><span><span class="co">## blavaan 0.5.2.1205 ended normally after 1000 iterations</span></span>
+<pre><code><span><span class="co">## blavaan 0.5.2.1207 ended normally after 1000 iterations</span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">##   Estimator                                      BAYES</span></span>
 <span><span class="co">##   Optimization method                             MCMC</span></span>
@@ -174,7 +174,7 @@ <h3 id="probability-of-direction-pd">Probability of Direction (pd)<a class="anch
 <span><span class="co">##   Number of observations                            75</span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">##   Statistic                                 MargLogLik         PPP</span></span>
-<span><span class="co">##   Value                                             NA       0.025</span></span>
+<span><span class="co">##   Value                                             NA       0.021</span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## Parameter Estimates:</span></span>
 <span><span class="co">## </span></span>
@@ -182,102 +182,102 @@ <h3 id="probability-of-direction-pd">Probability of Direction (pd)<a class="anch
 <span><span class="co">## Latent Variables:</span></span>
 <span><span class="co">##                    Estimate  Post.SD pi.lower pi.upper   Std.lv  Std.all</span></span>
 <span><span class="co">##   ind60 =~                                                              </span></span>
-<span><span class="co">##     x1                0.702    0.072    0.572    0.854    0.702    0.921</span></span>
-<span><span class="co">##     x2                1.532    0.143    1.276    1.845    1.532    0.973</span></span>
-<span><span class="co">##     x3                1.270    0.143    1.013    1.581    1.270    0.871</span></span>
+<span><span class="co">##     x1                0.707    0.071    0.580    0.856    0.707    0.922</span></span>
+<span><span class="co">##     x2                1.540    0.143    1.284    1.841    1.540    0.973</span></span>
+<span><span class="co">##     x3                1.277    0.142    1.026    1.576    1.277    0.872</span></span>
 <span><span class="co">##   dem60 =~                                                              </span></span>
-<span><span class="co">##     y1         (a)    1.460    0.172    1.135    1.802    1.788    0.761</span></span>
-<span><span class="co">##     y2         (b)    1.731    0.223    1.309    2.179    2.119    0.584</span></span>
-<span><span class="co">##     y3         (c)    1.814    0.202    1.435    2.215    2.220    0.701</span></span>
-<span><span class="co">##     y4         (d)    1.944    0.196    1.567    2.336    2.379    0.790</span></span>
+<span><span class="co">##     y1         (a)    1.461    0.169    1.142    1.801    1.785    0.762</span></span>
+<span><span class="co">##     y2         (b)    1.736    0.225    1.313    2.201    2.121    0.585</span></span>
+<span><span class="co">##     y3         (c)    1.820    0.202    1.453    2.233    2.224    0.701</span></span>
+<span><span class="co">##     y4         (d)    1.952    0.201    1.591    2.360    2.385    0.792</span></span>
 <span><span class="co">##   dem65 =~                                                              </span></span>
-<span><span class="co">##     y5         (a)    1.460    0.172    1.135    1.802    2.301    0.812</span></span>
-<span><span class="co">##     y6         (b)    1.731    0.223    1.309    2.179    2.727    0.769</span></span>
-<span><span class="co">##     y7         (c)    1.814    0.202    1.435    2.215    2.857    0.837</span></span>
-<span><span class="co">##     y8         (d)    1.944    0.196    1.567    2.336    3.062    0.869</span></span>
+<span><span class="co">##     y5         (a)    1.461    0.169    1.142    1.801    2.308    0.813</span></span>
+<span><span class="co">##     y6         (b)    1.736    0.225    1.313    2.201    2.742    0.771</span></span>
+<span><span class="co">##     y7         (c)    1.820    0.202    1.453    2.233    2.875    0.838</span></span>
+<span><span class="co">##     y8         (d)    1.952    0.201    1.591    2.360    3.084    0.871</span></span>
 <span><span class="co">##      Rhat    Prior       </span></span>
 <span><span class="co">##                          </span></span>
 <span><span class="co">##     1.000    normal(0,10)</span></span>
-<span><span class="co">##     1.000    normal(0,10)</span></span>
-<span><span class="co">##     1.000    normal(0,10)</span></span>
-<span><span class="co">##                          </span></span>
-<span><span class="co">##     1.004    normal(0,10)</span></span>
 <span><span class="co">##     1.001    normal(0,10)</span></span>
+<span><span class="co">##     1.001    normal(0,10)</span></span>
+<span><span class="co">##                          </span></span>
+<span><span class="co">##     1.000    normal(0,10)</span></span>
 <span><span class="co">##     1.002    normal(0,10)</span></span>
 <span><span class="co">##     1.000    normal(0,10)</span></span>
+<span><span class="co">##     1.001    normal(0,10)</span></span>
 <span><span class="co">##                          </span></span>
-<span><span class="co">##     1.004                </span></span>
-<span><span class="co">##     1.001                </span></span>
+<span><span class="co">##     1.000                </span></span>
 <span><span class="co">##     1.002                </span></span>
 <span><span class="co">##     1.000                </span></span>
+<span><span class="co">##     1.001                </span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## Regressions:</span></span>
 <span><span class="co">##                    Estimate  Post.SD pi.lower pi.upper   Std.lv  Std.all</span></span>
 <span><span class="co">##   dem60 ~                                                               </span></span>
-<span><span class="co">##     ind60             0.706    0.172    0.379    1.073    0.577    0.577</span></span>
+<span><span class="co">##     ind60             0.702    0.172    0.389    1.063    0.575    0.575</span></span>
 <span><span class="co">##   dem65 ~                                                               </span></span>
-<span><span class="co">##     ind60             0.242    0.174   -0.103    0.589    0.153    0.153</span></span>
-<span><span class="co">##     dem60             0.867    0.131    0.618    1.132    0.674    0.674</span></span>
+<span><span class="co">##     ind60             0.252    0.181   -0.106    0.600    0.159    0.159</span></span>
+<span><span class="co">##     dem60             0.868    0.128    0.619    1.127    0.671    0.671</span></span>
 <span><span class="co">##      Rhat    Prior       </span></span>
 <span><span class="co">##                          </span></span>
 <span><span class="co">##     1.001    normal(0,10)</span></span>
 <span><span class="co">##                          </span></span>
 <span><span class="co">##     1.000    normal(0,10)</span></span>
-<span><span class="co">##     0.999    normal(0,10)</span></span>
+<span><span class="co">##     1.000    normal(0,10)</span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## Covariances:</span></span>
 <span><span class="co">##                    Estimate  Post.SD pi.lower pi.upper   Std.lv  Std.all</span></span>
 <span><span class="co">##  .y1 ~~                                                                 </span></span>
-<span><span class="co">##    .y5                0.742    0.450   -0.068    1.734    0.742    0.294</span></span>
+<span><span class="co">##    .y5                0.752    0.438   -0.009    1.726    0.752    0.300</span></span>
 <span><span class="co">##  .y2 ~~                                                                 </span></span>
-<span><span class="co">##    .y4                1.748    0.822    0.260    3.500    1.748    0.321</span></span>
-<span><span class="co">##    .y6                2.222    0.810    0.807    4.020    2.222    0.333</span></span>
+<span><span class="co">##    .y4                1.738    0.817    0.284    3.547    1.738    0.321</span></span>
+<span><span class="co">##    .y6                2.234    0.778    0.824    3.861    2.234    0.335</span></span>
 <span><span class="co">##  .y3 ~~                                                                 </span></span>
-<span><span class="co">##    .y7                1.304    0.664    0.145    2.736    1.304    0.309</span></span>
+<span><span class="co">##    .y7                1.307    0.665    0.159    2.714    1.307    0.309</span></span>
 <span><span class="co">##  .y4 ~~                                                                 </span></span>
-<span><span class="co">##    .y8                0.390    0.476   -0.519    1.367    0.390    0.121</span></span>
+<span><span class="co">##    .y8                0.387    0.486   -0.520    1.407    0.387    0.121</span></span>
 <span><span class="co">##  .y6 ~~                                                                 </span></span>
-<span><span class="co">##    .y8                1.088    0.714   -0.149    2.656    1.088    0.276</span></span>
+<span><span class="co">##    .y8                1.098    0.720   -0.227    2.640    1.098    0.278</span></span>
 <span><span class="co">##      Rhat    Prior       </span></span>
 <span><span class="co">##                          </span></span>
-<span><span class="co">##     1.000       beta(1,1)</span></span>
+<span><span class="co">##     1.002       beta(1,1)</span></span>
 <span><span class="co">##                          </span></span>
 <span><span class="co">##     1.000       beta(1,1)</span></span>
 <span><span class="co">##     1.000       beta(1,1)</span></span>
 <span><span class="co">##                          </span></span>
 <span><span class="co">##     1.000       beta(1,1)</span></span>
 <span><span class="co">##                          </span></span>
-<span><span class="co">##     1.000       beta(1,1)</span></span>
+<span><span class="co">##     1.001       beta(1,1)</span></span>
 <span><span class="co">##                          </span></span>
 <span><span class="co">##     1.000       beta(1,1)</span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## Intercepts:</span></span>
 <span><span class="co">##                    Estimate  Post.SD pi.lower pi.upper   Std.lv  Std.all</span></span>
-<span><span class="co">##    .x1                5.051    0.090    4.872    5.236    5.051    6.627</span></span>
-<span><span class="co">##    .x2                4.784    0.185    4.426    5.152    4.784    3.038</span></span>
-<span><span class="co">##    .x3                3.551    0.171    3.217    3.882    3.551    2.434</span></span>
-<span><span class="co">##    .y1                5.452    0.279    4.903    6.002    5.452    2.321</span></span>
-<span><span class="co">##    .y2                4.249    0.432    3.422    5.129    4.249    1.171</span></span>
-<span><span class="co">##    .y3                6.551    0.377    5.817    7.267    6.551    2.068</span></span>
-<span><span class="co">##    .y4                4.434    0.354    3.768    5.142    4.434    1.472</span></span>
-<span><span class="co">##    .y5                5.121    0.332    4.471    5.785    5.121    1.806</span></span>
-<span><span class="co">##    .y6                2.958    0.427    2.135    3.814    2.958    0.835</span></span>
-<span><span class="co">##    .y7                6.177    0.414    5.384    7.012    6.177    1.809</span></span>
-<span><span class="co">##    .y8                4.028    0.422    3.198    4.859    4.028    1.143</span></span>
+<span><span class="co">##    .x1                5.056    0.090    4.881    5.235    5.056    6.598</span></span>
+<span><span class="co">##    .x2                4.796    0.184    4.444    5.154    4.796    3.031</span></span>
+<span><span class="co">##    .x3                3.562    0.171    3.225    3.895    3.562    2.432</span></span>
+<span><span class="co">##    .y1                5.465    0.268    4.954    6.002    5.465    2.332</span></span>
+<span><span class="co">##    .y2                4.247    0.439    3.393    5.117    4.247    1.172</span></span>
+<span><span class="co">##    .y3                6.555    0.370    5.804    7.267    6.555    2.067</span></span>
+<span><span class="co">##    .y4                4.443    0.350    3.761    5.140    4.443    1.474</span></span>
+<span><span class="co">##    .y5                5.138    0.332    4.511    5.801    5.138    1.810</span></span>
+<span><span class="co">##    .y6                2.976    0.408    2.196    3.787    2.976    0.836</span></span>
+<span><span class="co">##    .y7                6.196    0.398    5.414    6.957    6.196    1.807</span></span>
+<span><span class="co">##    .y8                4.039    0.414    3.236    4.866    4.039    1.140</span></span>
 <span><span class="co">##     ind60             0.000                               0.000    0.000</span></span>
 <span><span class="co">##    .dem60             0.000                               0.000    0.000</span></span>
 <span><span class="co">##    .dem65             0.000                               0.000    0.000</span></span>
 <span><span class="co">##      Rhat    Prior       </span></span>
 <span><span class="co">##     1.001    normal(0,32)</span></span>
-<span><span class="co">##     1.001    normal(0,32)</span></span>
 <span><span class="co">##     1.000    normal(0,32)</span></span>
+<span><span class="co">##     1.000    normal(0,32)</span></span>
+<span><span class="co">##     1.001    normal(0,32)</span></span>
 <span><span class="co">##     1.001    normal(0,32)</span></span>
+<span><span class="co">##     1.000    normal(0,32)</span></span>
 <span><span class="co">##     1.002    normal(0,32)</span></span>
 <span><span class="co">##     1.002    normal(0,32)</span></span>
 <span><span class="co">##     1.002    normal(0,32)</span></span>
-<span><span class="co">##     1.000    normal(0,32)</span></span>
 <span><span class="co">##     1.001    normal(0,32)</span></span>
-<span><span class="co">##     1.000    normal(0,32)</span></span>
 <span><span class="co">##     1.003    normal(0,32)</span></span>
 <span><span class="co">##                          </span></span>
 <span><span class="co">##                          </span></span>
@@ -285,31 +285,31 @@ <h3 id="probability-of-direction-pd">Probability of Direction (pd)<a class="anch
 <span><span class="co">## </span></span>
 <span><span class="co">## Variances:</span></span>
 <span><span class="co">##                    Estimate  Post.SD pi.lower pi.upper   Std.lv  Std.all</span></span>
-<span><span class="co">##    .x1                0.088    0.023    0.048    0.135    0.088    0.151</span></span>
-<span><span class="co">##    .x2                0.132    0.082    0.002    0.313    0.132    0.053</span></span>
-<span><span class="co">##    .x3                0.515    0.101    0.348    0.749    0.515    0.242</span></span>
-<span><span class="co">##    .y1                2.319    0.596    1.313    3.645    2.319    0.421</span></span>
-<span><span class="co">##    .y2                8.679    1.583    5.956   12.157    8.679    0.659</span></span>
-<span><span class="co">##    .y3                5.110    1.080    3.313    7.512    5.110    0.509</span></span>
-<span><span class="co">##    .y4                3.412    0.893    1.813    5.379    3.412    0.376</span></span>
-<span><span class="co">##    .y5                2.743    0.657    1.658    4.229    2.743    0.341</span></span>
-<span><span class="co">##    .y6                5.122    1.090    3.228    7.448    5.122    0.408</span></span>
-<span><span class="co">##    .y7                3.492    0.833    2.137    5.387    3.492    0.300</span></span>
-<span><span class="co">##    .y8                3.031    0.866    1.439    4.928    3.031    0.244</span></span>
+<span><span class="co">##    .x1                0.088    0.023    0.047    0.135    0.088    0.150</span></span>
+<span><span class="co">##    .x2                0.134    0.083    0.004    0.311    0.134    0.053</span></span>
+<span><span class="co">##    .x3                0.514    0.101    0.342    0.742    0.514    0.240</span></span>
+<span><span class="co">##    .y1                2.304    0.586    1.326    3.620    2.304    0.420</span></span>
+<span><span class="co">##    .y2                8.631    1.545    5.963   11.910    8.631    0.657</span></span>
+<span><span class="co">##    .y3                5.111    1.043    3.415    7.521    5.111    0.508</span></span>
+<span><span class="co">##    .y4                3.391    0.873    1.859    5.237    3.391    0.373</span></span>
+<span><span class="co">##    .y5                2.729    0.638    1.663    4.116    2.729    0.339</span></span>
+<span><span class="co">##    .y6                5.143    1.086    3.243    7.486    5.143    0.406</span></span>
+<span><span class="co">##    .y7                3.492    0.850    1.994    5.312    3.492    0.297</span></span>
+<span><span class="co">##    .y8                3.035    0.869    1.510    4.879    3.035    0.242</span></span>
 <span><span class="co">##     ind60             1.000                               1.000    1.000</span></span>
-<span><span class="co">##    .dem60             1.000                               0.667    0.667</span></span>
-<span><span class="co">##    .dem65             1.000                               0.403    0.403</span></span>
+<span><span class="co">##    .dem60             1.000                               0.670    0.670</span></span>
+<span><span class="co">##    .dem65             1.000                               0.401    0.401</span></span>
 <span><span class="co">##      Rhat    Prior       </span></span>
-<span><span class="co">##     1.000 gamma(1,.5)[sd]</span></span>
-<span><span class="co">##     0.999 gamma(1,.5)[sd]</span></span>
-<span><span class="co">##     0.999 gamma(1,.5)[sd]</span></span>
-<span><span class="co">##     1.002 gamma(1,.5)[sd]</span></span>
+<span><span class="co">##     1.001 gamma(1,.5)[sd]</span></span>
 <span><span class="co">##     1.002 gamma(1,.5)[sd]</span></span>
 <span><span class="co">##     1.000 gamma(1,.5)[sd]</span></span>
 <span><span class="co">##     1.000 gamma(1,.5)[sd]</span></span>
 <span><span class="co">##     1.000 gamma(1,.5)[sd]</span></span>
 <span><span class="co">##     1.000 gamma(1,.5)[sd]</span></span>
-<span><span class="co">##     0.999 gamma(1,.5)[sd]</span></span>
+<span><span class="co">##     1.000 gamma(1,.5)[sd]</span></span>
+<span><span class="co">##     1.000 gamma(1,.5)[sd]</span></span>
+<span><span class="co">##     1.000 gamma(1,.5)[sd]</span></span>
+<span><span class="co">##     1.000 gamma(1,.5)[sd]</span></span>
 <span><span class="co">##     1.000 gamma(1,.5)[sd]</span></span>
 <span><span class="co">##                          </span></span>
 <span><span class="co">##                          </span></span>
@@ -317,19 +317,19 @@ <h3 id="probability-of-direction-pd">Probability of Direction (pd)<a class="anch
 <span><span class="co">## </span></span>
 <span><span class="co">## R-Square:</span></span>
 <span><span class="co">##                    Estimate</span></span>
-<span><span class="co">##     x1                0.849</span></span>
+<span><span class="co">##     x1                0.850</span></span>
 <span><span class="co">##     x2                0.947</span></span>
-<span><span class="co">##     x3                0.758</span></span>
-<span><span class="co">##     y1                0.579</span></span>
-<span><span class="co">##     y2                0.341</span></span>
-<span><span class="co">##     y3                0.491</span></span>
-<span><span class="co">##     y4                0.624</span></span>
-<span><span class="co">##     y5                0.659</span></span>
-<span><span class="co">##     y6                0.592</span></span>
-<span><span class="co">##     y7                0.700</span></span>
-<span><span class="co">##     y8                0.756</span></span>
-<span><span class="co">##     dem60             0.333</span></span>
-<span><span class="co">##     dem65             0.597</span></span></code></pre>
+<span><span class="co">##     x3                0.760</span></span>
+<span><span class="co">##     y1                0.580</span></span>
+<span><span class="co">##     y2                0.343</span></span>
+<span><span class="co">##     y3                0.492</span></span>
+<span><span class="co">##     y4                0.627</span></span>
+<span><span class="co">##     y5                0.661</span></span>
+<span><span class="co">##     y6                0.594</span></span>
+<span><span class="co">##     y7                0.703</span></span>
+<span><span class="co">##     y8                0.758</span></span>
+<span><span class="co">##     dem60             0.330</span></span>
+<span><span class="co">##     dem65             0.599</span></span></code></pre>
 <p>To calculate the probability of direction we will use a function from
 the package <code>brms</code> <span class="citation">(Bürkner
 2017)</span></p>
@@ -442,7 +442,7 @@ <h3 id="probability-of-direction-pd">Probability of Direction (pd)<a class="anch
 <span><span class="co">## <span style="color: #00BBBB;">•</span> `ly_sign[7]` -&gt; `ly_sign[7]...11`</span></span></code></pre>
 <pre><code><span><span class="co">## Hypothesis Tests for class :</span></span>
 <span><span class="co">##          Hypothesis Estimate Est.Error CI.Lower CI.Upper Evid.Ratio Post.Prob</span></span>
-<span><span class="co">## 1 (bet_sign[2]) &gt; 0     0.24      0.17    -0.05     0.53       11.4      0.92</span></span>
+<span><span class="co">## 1 (bet_sign[2]) &gt; 0     0.25      0.18    -0.05     0.55      11.99      0.92</span></span>
 <span><span class="co">##   Star</span></span>
 <span><span class="co">## 1     </span></span>
 <span><span class="co">## ---</span></span>
@@ -477,7 +477,7 @@ <h3 id="probability-of-direction-pd">Probability of Direction (pd)<a class="anch
 <span><span class="co">## <span style="color: #00BBBB;">•</span> `ly_sign[7]` -&gt; `ly_sign[7]...11`</span></span></code></pre>
 <pre><code><span><span class="co">## Hypothesis Tests for class :</span></span>
 <span><span class="co">##          Hypothesis Estimate Est.Error CI.Lower CI.Upper Evid.Ratio Post.Prob</span></span>
-<span><span class="co">## 1 (bet_sign[1]) &gt; 0     0.71      0.17     0.43     1.01        Inf         1</span></span>
+<span><span class="co">## 1 (bet_sign[1]) &gt; 0      0.7      0.17     0.43        1        Inf         1</span></span>
 <span><span class="co">##   Star</span></span>
 <span><span class="co">## 1    *</span></span>
 <span><span class="co">## ---</span></span>
@@ -505,9 +505,9 @@ <h3 id="probability-of-direction-pd">Probability of Direction (pd)<a class="anch
 <span><span class="co">## <span style="color: #00BBBB;">•</span> `ly_sign[7]` -&gt; `ly_sign[7]...11`</span></span></code></pre>
 <pre><code><span><span class="co">## Hypothesis Tests for class :</span></span>
 <span><span class="co">##                 Hypothesis Estimate Est.Error CI.Lower CI.Upper Evid.Ratio</span></span>
-<span><span class="co">## 1 (bet_sign[1]-bet_... &gt; 0     0.46      0.26     0.06      0.9      31.61</span></span>
+<span><span class="co">## 1 (bet_sign[1]-bet_... &gt; 0     0.45      0.26     0.03     0.89      25.09</span></span>
 <span><span class="co">##   Post.Prob Star</span></span>
-<span><span class="co">## 1      0.97    *</span></span>
+<span><span class="co">## 1      0.96    *</span></span>
 <span><span class="co">## ---</span></span>
 <span><span class="co">## 'CI': 90%-CI for one-sided and 95%-CI for two-sided hypotheses.</span></span>
 <span><span class="co">## '*': For one-sided hypotheses, the posterior probability exceeds 95%;</span></span>
@@ -552,9 +552,9 @@ <h3 id="region-of-practical-equivalence-rope">Region of Practical Equivalence (R
 <span><span class="co">## <span style="color: #00BBBB;">•</span> `ly_sign[7]` -&gt; `ly_sign[7]...11`</span></span></code></pre>
 <pre><code><span><span class="co">## Hypothesis Tests for class :</span></span>
 <span><span class="co">##               Hypothesis Estimate Est.Error CI.Lower CI.Upper Evid.Ratio</span></span>
-<span><span class="co">## 1 (bet_sign[2])-(.1) &gt; 0     0.14      0.17    -0.15     0.43       4.14</span></span>
+<span><span class="co">## 1 (bet_sign[2])-(.1) &gt; 0     0.15      0.18    -0.15     0.45       4.09</span></span>
 <span><span class="co">##   Post.Prob Star</span></span>
-<span><span class="co">## 1      0.81     </span></span>
+<span><span class="co">## 1       0.8     </span></span>
 <span><span class="co">## ---</span></span>
 <span><span class="co">## 'CI': 90%-CI for one-sided and 95%-CI for two-sided hypotheses.</span></span>
 <span><span class="co">## '*': For one-sided hypotheses, the posterior probability exceeds 95%;</span></span>
diff --git a/articles/resources.html b/articles/resources.html
index c122a359..5285c8f1 100644
--- a/articles/resources.html
+++ b/articles/resources.html
@@ -26,7 +26,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/articles/start.html b/articles/start.html
index fc6560bc..fd206378 100644
--- a/articles/start.html
+++ b/articles/start.html
@@ -26,7 +26,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/articles/summaries.html b/articles/summaries.html
index b83c0708..802504e4 100644
--- a/articles/summaries.html
+++ b/articles/summaries.html
@@ -26,7 +26,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/authors.html b/authors.html
index e274e45c..f8a98690 100644
--- a/authors.html
+++ b/authors.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/index.html b/index.html
index bb9f8c17..652c85c2 100644
--- a/index.html
+++ b/index.html
@@ -28,7 +28,7 @@
     
     <a class="navbar-brand me-2" href="index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/news/index.html b/news/index.html
index 2808433d..79b1e89b 100644
--- a/news/index.html
+++ b/news/index.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/pkgdown.yml b/pkgdown.yml
index 6a8db31a..1239ff85 100644
--- a/pkgdown.yml
+++ b/pkgdown.yml
@@ -19,7 +19,7 @@ articles:
   resources: resources.html
   start: start.html
   summaries: summaries.html
-last_built: 2023-12-21T03:03Z
+last_built: 2023-12-21T03:33Z
 urls:
   reference: http://ecmerkle.github.io/blavaan/reference
   article: http://ecmerkle.github.io/blavaan/articles
diff --git a/reference/bcfa.html b/reference/bcfa.html
index a072140b..434b2675 100644
--- a/reference/bcfa.html
+++ b/reference/bcfa.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/bgrowth.html b/reference/bgrowth.html
index e643b5e6..2e294a5f 100644
--- a/reference/bgrowth.html
+++ b/reference/bgrowth.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/blavCompare.html b/reference/blavCompare.html
index c3559a7f..c7b79c1e 100644
--- a/reference/blavCompare.html
+++ b/reference/blavCompare.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/blavFitIndices.html b/reference/blavFitIndices.html
index a43b3221..771925b7 100644
--- a/reference/blavFitIndices.html
+++ b/reference/blavFitIndices.html
@@ -12,7 +12,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/blavInspect.html b/reference/blavInspect.html
index 185e1ebd..dc8e39ff 100644
--- a/reference/blavInspect.html
+++ b/reference/blavInspect.html
@@ -14,7 +14,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/blavPredict.html b/reference/blavPredict.html
index 9b813353..819013e9 100644
--- a/reference/blavPredict.html
+++ b/reference/blavPredict.html
@@ -14,7 +14,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/blav_internal.html b/reference/blav_internal.html
index 95718443..253fccdf 100644
--- a/reference/blav_internal.html
+++ b/reference/blav_internal.html
@@ -12,7 +12,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/blavaan-class.html b/reference/blavaan-class.html
index 59d6ee0c..97b975fb 100644
--- a/reference/blavaan-class.html
+++ b/reference/blavaan-class.html
@@ -18,7 +18,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/blavaan.html b/reference/blavaan.html
index 4c25fac0..5e90c171 100644
--- a/reference/blavaan.html
+++ b/reference/blavaan.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/bsem.html b/reference/bsem.html
index 4a7c2078..49c2adf8 100644
--- a/reference/bsem.html
+++ b/reference/bsem.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/dpriors.html b/reference/dpriors.html
index 787d35a3..1bfad57a 100644
--- a/reference/dpriors.html
+++ b/reference/dpriors.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/index.html b/reference/index.html
index a0bb2d43..98dc49ba 100644
--- a/reference/index.html
+++ b/reference/index.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/plot.blavaan.html b/reference/plot.blavaan.html
index f54d9cc9..7d6ab882 100644
--- a/reference/plot.blavaan.html
+++ b/reference/plot.blavaan.html
@@ -12,7 +12,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/ppmc.html b/reference/ppmc.html
index 4579ba35..908a2d58 100644
--- a/reference/ppmc.html
+++ b/reference/ppmc.html
@@ -14,7 +14,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/standardizedPosterior.html b/reference/standardizedPosterior.html
index 50677984..a3e59ff1 100644
--- a/reference/standardizedPosterior.html
+++ b/reference/standardizedPosterior.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">blavaan</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1205</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5-2.1207</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/search.json b/search.json
index 0cdf699e..7a55973d 100644
--- a/search.json
+++ b/search.json
@@ -1 +1 @@
-[{"path":"http://ecmerkle.github.io/blavaan/articles/approx_fi.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Approximate fit indices","text":"SEM, one first steps evaluate model’s global fit. commonly done presenting multiple fit indices, common based model’s \\(\\chi^2\\). developed Bayesian versions indices (Garnier-Villarreal Jorgensen 2020) can computed blavaan.","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/approx_fi.html","id":"noncentrality-based-fit-indices","dir":"Articles","previous_headings":"","what":"Noncentrality-Based Fit Indices","title":"Approximate fit indices","text":"group indices compares hypothesized model perfect saturated model. specifically uses noncentrality parameter \\(\\hat{\\lambda} = \\chi^2 - df\\), df adjusted different model/data characterictics. Specific indices include Root Mean Square Error approximation (RMSEA), McDonald’s centrality index (Mc), gamma-hat (\\(\\hat{\\Gamma}\\)), adjusted gamma-hat (\\(\\hat{\\Gamma}_{adj}\\)). show example Holzinger Swineford (1939) example. first estimate SEM/CFA model usual need pass model blavFitIndices() function Finally, can describe posterior distribution indices summary() function. call, see 3 central tendency measures (mean median, mode), standard deviation, 90% Credible Interval","code":"HS.model <- ' visual  =~ x1 + x2 + x3               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9 '  fit <- bcfa(HS.model, data=HolzingerSwineford1939, std.lv=TRUE) gl_fits <- blavFitIndices(fit) summary(gl_fits, central.tendency = c(\"mean\",\"median\",\"mode\"), prob = .90) ##  ## Posterior summary statistics and highest posterior density (HPD) 90% credible intervals for devm-based fit indices: ##  ##                EAP Median   MAP    SD lower upper ## BRMSEA       0.098  0.098 0.098 0.005 0.090 0.107 ## BGammaHat    0.956  0.957 0.957 0.005 0.949 0.964 ## adjBGammaHat 0.907  0.908 0.908 0.010 0.892 0.922 ## BMc          0.903  0.903 0.904 0.010 0.887 0.918"},{"path":"http://ecmerkle.github.io/blavaan/articles/approx_fi.html","id":"incremental-fit-indices","dir":"Articles","previous_headings":"","what":"Incremental Fit Indices","title":"Approximate fit indices","text":"Another group fit indices compares hypothesized model worst possible model, called incremental indices. indices compare model’s \\(\\chi^2_H\\) null model’s \\(\\chi^2_0\\) different ways. Indices include Comparative Fit Index (CFI), Tucker-Lewis Index (TLI), Normed Fit Index (NFI). estimate indices need defined estimate respective null model. standard null model used default frequentist SEM programs (like lavaan) includes indicators variances intercepts, covariances items. can specify null model including respective indicator variances model syntax, hypothesized null models, pass blavFitIndices function, now provide types fit indices summary() method now presents central tendicy measure asked , standard deviation, credible interval noncentrality incremental fit indices.","code":"HS.model_null <- ' x1 ~~ x1  x2 ~~ x2  x3 ~~ x3 x4 ~~ x4 x5 ~~ x5 x6 ~~ x6 x7 ~~ x7 x8 ~~ x8 x9 ~~ x9 '  fit_null <- bcfa(HS.model_null, data=HolzingerSwineford1939) gl_fits_all <- blavFitIndices(fit, baseline.model = fit_null)  summary(gl_fits_all, central.tendency = c(\"mean\",\"median\",\"mode\"), prob = .90) ##  ## Posterior summary statistics and highest posterior density (HPD) 90% credible intervals for devm-based fit indices: ##  ##                EAP Median   MAP    SD lower upper ## BRMSEA       0.098  0.098 0.098 0.005 0.090 0.107 ## BGammaHat    0.956  0.957 0.957 0.005 0.949 0.964 ## adjBGammaHat 0.907  0.908 0.908 0.010 0.892 0.922 ## BMc          0.903  0.903 0.904 0.010 0.887 0.918 ## BCFI         0.930  0.931 0.931 0.008 0.918 0.942 ## BTLI         0.884  0.885 0.886 0.013 0.864 0.903 ## BNFI         0.910  0.910 0.911 0.007 0.898 0.921"},{"path":"http://ecmerkle.github.io/blavaan/articles/approx_fi.html","id":"access-the-indices-posterior-distributions","dir":"Articles","previous_headings":"","what":"Access the indices posterior distributions","title":"Approximate fit indices","text":"can also extract posterior distributions respective indices, way can explore details. example, diagnostic plots using bayesplot package. saved posterior distributions, can explore histogram scatterplots indices.","code":"dist_fits <- data.frame(gl_fits_all@indices) head(dist_fits) ##       BRMSEA BGammaHat adjBGammaHat       BMc      BCFI      BTLI      BNFI ## 1 0.09860905 0.9563606    0.9070059 0.9024256 0.9299327 0.8834168 0.9095942 ## 2 0.09803424 0.9568460    0.9080403 0.9035032 0.9307577 0.8847896 0.9103906 ## 3 0.08908232 0.9640973    0.9234925 0.9196249 0.9428911 0.9049781 0.9220822 ## 4 0.09114743 0.9624766    0.9200389 0.9160180 0.9401730 0.9004554 0.9194548 ## 5 0.10016009 0.9550392    0.9041901 0.8994928 0.9277791 0.8798335 0.9075414 ## 6 0.10249460 0.9530185    0.8998840 0.8950108 0.9247248 0.8747516 0.9046940 mcmc_pairs(dist_fits, pars = c(\"BRMSEA\",\"BGammaHat\",\"BCFI\",\"BTLI\"),            diag_fun = \"hist\")"},{"path":"http://ecmerkle.github.io/blavaan/articles/approx_fi.html","id":"summary","dir":"Articles","previous_headings":"","what":"Summary","title":"Approximate fit indices","text":"can estimate posterior distributions \\(\\chi^2\\) based global fit indices. Notice presented fit indices based recommended method devM recommended number parameters metric loo. can adjusted user desired. general recommendation prefer \\(\\hat{\\Gamma}\\) CFI, shown less sensitive model data characteristics. defaults recommendations made based previous simulation research. details fit indices please see Garnier-Villarreal Jorgensen (2020).","code":""},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/articles/convergence_efficiency.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Convergence and Efficiency Evaluation","text":"Bayesian models estimated Markov-Chain Monte Carlo (MCMC) sampler, model estimation doesn’t stop achieved convergence criteria. run long desired (determined burnin sample arguments), need evaluate convergence efficiency estimated posterior distributions. analyze results convergence achieved, judged metrics described . example use Industrialization Political Democracy example (Bollen 1989).","code":"model <- '   # latent variable definitions      ind60 =~ x1 + x2 + x3      dem60 =~ a*y1 + b*y2 + c*y3 + d*y4      dem65 =~ a*y5 + b*y6 + c*y7 + d*y8    # regressions     dem60 ~ ind60     dem65 ~ ind60 + dem60    # residual correlations     y1 ~~ y5     y2 ~~ y4 + y6     y3 ~~ y7     y4 ~~ y8     y6 ~~ y8 '  fit <- bsem(model, data=PoliticalDemocracy,             std.lv=T, meanstructure=T, n.chains=3,             burnin=500, sample=1000)"},{"path":"http://ecmerkle.github.io/blavaan/articles/convergence_efficiency.html","id":"convergence","dir":"Articles","previous_headings":"","what":"Convergence","title":"Convergence and Efficiency Evaluation","text":"primary convergence diagnostic \\(\\hat{R}\\), compares - within-chain samples model parameters univariate quantities interest (Vehtari et al. 2021). chains mixed well (ie, - within-chain estimates don’t agree), \\(\\hat{R}\\) larger 1. recommend running least three chains default using posterior samples \\(\\hat{R} < 1.05\\) parameters. blavaan presents \\(\\hat{R}\\) reported underlying MCMC program, either Stan JAGS (Stan default). can obtain \\(\\hat{R}\\) summary() function, can also extract blavInspect() function large models can cumbersome look entries. can instead find largest \\(\\hat{R}\\) see less \\(1.05\\) \\(\\hat{R} < 1.05\\) can establish MCMC chains converged stable solution. model converged, might increase number burnin iterations /change model priors dpriors() function. address issues model failed converge due needing iterations due model misspecification (bad priors). rule thumb, seldom see model require 1,000 burnin samples Stan. model converging 1,000 burnin samples, likely default prior distributions clash data. can happen, e.g., variables contain values 100s 1000s.","code":"blavInspect(fit, \"rhat\") ##   ind60=~x1   ind60=~x2   ind60=~x3           a           b           c  ##   1.0038580   1.0050116   1.0029365   1.0007207   0.9999798   0.9996668  ##           d           a           b           c           d dem60~ind60  ##   0.9998789   1.0007207   0.9999798   0.9996668   0.9998789   0.9999574  ## dem65~ind60 dem65~dem60      y1~~y5      y2~~y4      y2~~y6      y3~~y7  ##   0.9999265   0.9997547   0.9996561   0.9996701   1.0003716   1.0007611  ##      y4~~y8      y6~~y8      x1~~x1      x2~~x2      x3~~x3      y1~~y1  ##   1.0008513   1.0006355   0.9995685   1.0003373   0.9991198   1.0006442  ##      y2~~y2      y3~~y3      y4~~y4      y5~~y5      y6~~y6      y7~~y7  ##   0.9994047   1.0008251   1.0000629   1.0005872   1.0001243   0.9999353  ##      y8~~y8        x1~1        x2~1        x3~1        y1~1        y2~1  ##   1.0015554   1.0057950   1.0064286   1.0070192   1.0019918   0.9998743  ##        y3~1        y4~1        y5~1        y6~1        y7~1        y8~1  ##   1.0014471   1.0020098   1.0023198   1.0028363   1.0027588   1.0034479 max(blavInspect(fit, \"psrf\")) ## [1] 1.007019 fit <- bsem(model, data=PoliticalDemocracy,             std.lv=T, meanstructure=T, n.chains=3,             burnin=1000, sample=1000)"},{"path":"http://ecmerkle.github.io/blavaan/articles/convergence_efficiency.html","id":"efficiency","dir":"Articles","previous_headings":"","what":"Efficiency","title":"Convergence and Efficiency Evaluation","text":"also evaluate efficiency posterior samples. Effective sample size (ESS) useful measure sampling efficiency, well defined even chains finite mean variance (Vehtari et al. 2021). short, posterior samples produced MCMC autocorrelated. means , draw 500 posterior samples, 500 independent pieces information posterior distribution, samples autocorlated. ESS metric like currency conversion, telling much autocorrelated samples worth convert indepndent samples. blavaan can print summary function neff argument can also extract blavInspect() function ESS sample size, least 100 (optimally, much 100) times number chains order reliable indicate estimates posterior quantiles reliable. example, 3 chains, want see least neff=300 every parameter. can easily find lowest ESS min() function:","code":"summary(fit, neff=T) blavInspect(fit, \"neff\") ##   ind60=~x1   ind60=~x2   ind60=~x3           a           b           c  ##    1732.846    1684.525    2029.599    2022.013    2088.001    2343.846  ##           d           a           b           c           d dem60~ind60  ##    1824.235    2022.013    2088.001    2343.846    1824.235    2430.655  ## dem65~ind60 dem65~dem60      y1~~y5      y2~~y4      y2~~y6      y3~~y7  ##    3129.315    3172.419    2499.230    2132.873    2826.225    2024.139  ##      y4~~y8      y6~~y8      x1~~x1      x2~~x2      x3~~x3      y1~~y1  ##    2131.339    1711.606    2514.839    2028.523    2837.712    2401.707  ##      y2~~y2      y3~~y3      y4~~y4      y5~~y5      y6~~y6      y7~~y7  ##    3504.485    2408.789    2074.405    2017.526    2480.885    2066.115  ##      y8~~y8        x1~1        x2~1        x3~1        y1~1        y2~1  ##    1772.881    1084.681    1008.963    1037.107    1307.964    1543.916  ##        y3~1        y4~1        y5~1        y6~1        y7~1        y8~1  ##    1440.280    1266.660    1126.238    1159.955    1096.600    1012.904 min(blavInspect(fit, \"neff\")) ## [1] 1008.963"},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/articles/convergence_loop.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Convergence loop","text":"many cases need run BSEM models multiple times converged. can take might want R . tutorial shows use loop increase number burnin samples model converges, can let run without adjust every time","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/convergence_loop.html","id":"convergence-loop","dir":"Articles","previous_headings":"","what":"Convergence loop","title":"Convergence loop","text":"start writing model syntax always. instead running blavaan functions usual, run inside loop follows. loop starts need define starting BURN <- 0 number iterations, convergence value higher desired rhat <- 20. loop set sto stop convergence criteria (rhat) lower desired value, like \\(\\hat{R} < 1.05\\), specify (rhat > 1.05), meaning loop continue long rhat higher 1.05. Thn inside loop increase number BURN iterations 1000 example. estimating model, evaluate convergence getting highest estimated \\(\\hat{R}\\), printing screen see far model converging. Note increasing number burnin iterations, keeping number saved samples (1000 case). want can increase decrease number saved iterations according case. can visualize convergence trace plots","code":"HS.model <- ' visual  =~ x1 + x2 + x3               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9 '  BURN <- 0 rhat <- 20 while(rhat > 1.05) {      BURN <- BURN + 1000 ### increase burn in by 1000 iterations every time      fit <- bcfa(HS.model, std.lv=T,                data=HolzingerSwineford1939,                n.chains = 3, burnin = BURN,               sample=1000)   rhat <- max(blavInspect(fit, \"psrf\"), na.rm=T)   print(paste0(\"Rhat=\",rhat))   } print(paste0(\"Rhat=\",rhat)) ## [1] \"Rhat=1.00278759516961\" plot(fit, pars = 1:9, plot.type = \"trace\")"},{"path":"http://ecmerkle.github.io/blavaan/articles/convergence_loop.html","id":"convergence-criteria","dir":"Articles","previous_headings":"","what":"Convergence criteria","title":"Convergence loop","text":"example use \\(\\hat{R} < 1.05\\) convergence criteria. recommend use \\(\\hat{R} < 1.01\\) convergence criteria, higher. \\(\\hat{R}\\) approximates 1, can argue model converged estimates achieve stability within chains (Gelman et al. 2014)","code":""},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/articles/cross_loadings_strong_priors.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Cross-loadings with strong priors","text":"advantage BSEM can use priors set soft constraints model, estimating parameter strong prior. way parameter estimated, prior restrict possible values. suggested Muthén Asparouhov (2012), way estimate possible cross-loadings CFA. way, posterior distribution restricted parameters includes values outside strong prior, can interpreted model modification. means parameters less restricted, prior distribution relaxed. tutorial present estimate CFA possible cross-loadings restricted strong priors.","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/cross_loadings_strong_priors.html","id":"cross-loadings","dir":"Articles","previous_headings":"","what":"Cross-loadings","title":"Cross-loadings with strong priors","text":"show example Holzinger Swineford (1939) data. First estimate regular model cross-loadings default priors. can see overall model results summary() function, looking posterior distribution factor loadings, correlations, intercepts variances. Next, add possible cross-loadings strong prior \\(N(0, \\sigma = 0.08)\\). prior centers loadings around 0 allows little space move. can look summary() model evaluate cross-loadings. can specifically see whether cross-loadings seem large enough suggest kept model, looking posterior mean (Estimate) credible interval. suggest simply look whether CI excludes 0 (similar null hypothesis), evaluate whether minimum value CI (value closer 0) far enough away 0 relavant instead just different 0.","code":"HS.model <- ' visual  =~ x1 + x2 + x3               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9 '  fit_df <- bcfa(HS.model, data=HolzingerSwineford1939,              std.lv=TRUE, meanstructure=T) summary(fit_df) ## blavaan 0.5.2.1205 ended normally after 1000 iterations ##  ##   Estimator                                      BAYES ##   Optimization method                             MCMC ##   Number of model parameters                        30 ##  ##   Number of observations                           301 ##  ##   Statistic                                 MargLogLik         PPP ##   Value                                      -3870.984       0.000 ##  ## Parameter Estimates: ##  ##  ## Latent Variables: ##                    Estimate  Post.SD pi.lower pi.upper     Rhat    Prior        ##   visual =~                                                                     ##     x1                0.911    0.089    0.741    1.084    1.000    normal(0,10) ##     x2                0.500    0.082    0.344    0.665    1.000    normal(0,10) ##     x3                0.662    0.079    0.509    0.816    1.001    normal(0,10) ##   textual =~                                                                    ##     x4                1.000    0.058    0.887    1.119    1.000    normal(0,10) ##     x5                1.113    0.065    0.989    1.241    0.999    normal(0,10) ##     x6                0.927    0.056    0.821    1.041    1.000    normal(0,10) ##   speed =~                                                                      ##     x7                0.619    0.077    0.465    0.771    0.999    normal(0,10) ##     x8                0.736    0.079    0.581    0.890    1.001    normal(0,10) ##     x9                0.680    0.080    0.528    0.837    1.001    normal(0,10) ##  ## Covariances: ##                    Estimate  Post.SD pi.lower pi.upper     Rhat    Prior        ##   visual ~~                                                                     ##     textual           0.448    0.065    0.313    0.570    0.999     lkj_corr(1) ##     speed             0.460    0.084    0.290    0.621    1.000     lkj_corr(1) ##   textual ~~                                                                    ##     speed             0.277    0.070    0.131    0.408    0.999     lkj_corr(1) ##  ## Intercepts: ##                    Estimate  Post.SD pi.lower pi.upper     Rhat    Prior        ##    .x1                4.935    0.068    4.801    5.070    1.000    normal(0,32) ##    .x2                6.086    0.067    5.957    6.221    1.000    normal(0,32) ##    .x3                2.250    0.067    2.119    2.382    1.000    normal(0,32) ##    .x4                3.059    0.069    2.925    3.190    0.999    normal(0,32) ##    .x5                4.340    0.076    4.193    4.490    0.999    normal(0,32) ##    .x6                2.184    0.064    2.055    2.307    1.000    normal(0,32) ##    .x7                4.184    0.063    4.061    4.306    1.000    normal(0,32) ##    .x8                5.527    0.058    5.413    5.636    1.000    normal(0,32) ##    .x9                5.373    0.057    5.258    5.487    1.000    normal(0,32) ##     visual            0.000                                                     ##     textual           0.000                                                     ##     speed             0.000                                                     ##  ## Variances: ##                    Estimate  Post.SD pi.lower pi.upper     Rhat    Prior        ##    .x1                0.555    0.127    0.284    0.799    1.001 gamma(1,.5)[sd] ##    .x2                1.153    0.104    0.964    1.366    0.999 gamma(1,.5)[sd] ##    .x3                0.859    0.099    0.674    1.054    1.000 gamma(1,.5)[sd] ##    .x4                0.380    0.050    0.286    0.482    1.000 gamma(1,.5)[sd] ##    .x5                0.454    0.060    0.341    0.577    0.999 gamma(1,.5)[sd] ##    .x6                0.364    0.045    0.283    0.460    1.001 gamma(1,.5)[sd] ##    .x7                0.820    0.092    0.650    1.019    0.999 gamma(1,.5)[sd] ##    .x8                0.497    0.095    0.314    0.687    1.000 gamma(1,.5)[sd] ##    .x9                0.570    0.094    0.375    0.745    1.000 gamma(1,.5)[sd] ##     visual            1.000                                                     ##     textual           1.000                                                     ##     speed             1.000 HS.model.cl<-' visual  =~ x1 + x2 + x3               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9                     ## Cross-loadings               visual =~  prior(\"normal(0,.08)\")*x4 + prior(\"normal(0,.08)\")*x5 + prior(\"normal(0,.08)\")*x6 + prior(\"normal(0,.08)\")*x7 + prior(\"normal(0,.08)\")*x8 + prior(\"normal(0,.08)\")*x9               textual =~ prior(\"normal(0,.08)\")*x1 + prior(\"normal(0,.08)\")*x2 + prior(\"normal(0,.08)\")*x3 + prior(\"normal(0,.08)\")*x7 + prior(\"normal(0,.08)\")*x8 + prior(\"normal(0,.08)\")*x9                speed =~ prior(\"normal(0,.08)\")*x1 + prior(\"normal(0,.08)\")*x2 + prior(\"normal(0,.08)\")*x3 + prior(\"normal(0,.08)\")*x4 + prior(\"normal(0,.08)\")*x5 + prior(\"normal(0,.08)\")*x6'  fit_cl <- bcfa(HS.model.cl, data=HolzingerSwineford1939,              std.lv=TRUE, meanstructure=T) summary(fit_cl) ## blavaan 0.5.2.1205 ended normally after 1000 iterations ##  ##   Estimator                                      BAYES ##   Optimization method                             MCMC ##   Number of model parameters                        48 ##  ##   Number of observations                           301 ##  ##   Statistic                                 MargLogLik         PPP ##   Value                                      -3858.783       0.134 ##  ## Parameter Estimates: ##  ##  ## Latent Variables: ##                    Estimate  Post.SD pi.lower pi.upper     Rhat    Prior        ##   visual =~                                                                     ##     x1                0.761    0.099    0.574    0.959    1.001    normal(0,10) ##     x2                0.567    0.093    0.390    0.751    1.000    normal(0,10) ##     x3                0.769    0.097    0.586    0.964    1.000    normal(0,10) ##   textual =~                                                                    ##     x4                0.983    0.064    0.861    1.110    1.000    normal(0,10) ##     x5                1.155    0.071    1.014    1.298    1.000    normal(0,10) ##     x6                0.894    0.060    0.781    1.018    1.000    normal(0,10) ##   speed =~                                                                      ##     x7                0.728    0.086    0.554    0.892    1.003    normal(0,10) ##     x8                0.792    0.085    0.636    0.973    1.008    normal(0,10) ##     x9                0.542    0.076    0.394    0.695    1.004    normal(0,10) ##   visual =~                                                                     ##     x4                0.032    0.058   -0.080    0.148    0.999   normal(0,.08) ##     x5               -0.073    0.062   -0.193    0.050    0.999   normal(0,.08) ##     x6                0.063    0.055   -0.047    0.171    1.000   normal(0,.08) ##     x7               -0.130    0.065   -0.259   -0.004    1.003   normal(0,.08) ##     x8               -0.005    0.067   -0.138    0.124    0.999   normal(0,.08) ##     x9                0.193    0.060    0.075    0.309    1.000   normal(0,.08) ##   textual =~                                                                    ##     x1                0.111    0.065   -0.019    0.237    1.000   normal(0,.08) ##     x2                0.007    0.059   -0.110    0.130    0.999   normal(0,.08) ##     x3               -0.084    0.063   -0.212    0.037    1.000   normal(0,.08) ##     x7                0.015    0.062   -0.111    0.135    1.000   normal(0,.08) ##     x8               -0.039    0.062   -0.161    0.082    0.999   normal(0,.08) ##     x9                0.032    0.054   -0.077    0.135    1.000   normal(0,.08) ##   speed =~                                                                      ##     x1                0.042    0.065   -0.081    0.172    1.000   normal(0,.08) ##     x2               -0.048    0.063   -0.172    0.076    1.000   normal(0,.08) ##     x3                0.027    0.064   -0.097    0.149    1.000   normal(0,.08) ##     x4               -0.006    0.056   -0.116    0.104    1.001   normal(0,.08) ##     x5                0.005    0.061   -0.114    0.123    1.000   normal(0,.08) ##     x6               -0.001    0.053   -0.103    0.106    1.000   normal(0,.08) ##  ## Covariances: ##                    Estimate  Post.SD pi.lower pi.upper     Rhat    Prior        ##   visual ~~                                                                     ##     textual           0.374    0.095    0.186    0.549    1.000     lkj_corr(1) ##     speed             0.353    0.111    0.125    0.559    1.000     lkj_corr(1) ##   textual ~~                                                                    ##     speed             0.259    0.103    0.044    0.451    1.000     lkj_corr(1) ##  ## Intercepts: ##                    Estimate  Post.SD pi.lower pi.upper     Rhat    Prior        ##    .x1                4.937    0.068    4.804    5.070    0.999    normal(0,32) ##    .x2                6.087    0.066    5.961    6.213    0.999    normal(0,32) ##    .x3                2.251    0.067    2.119    2.385    1.000    normal(0,32) ##    .x4                3.063    0.066    2.931    3.191    1.000    normal(0,32) ##    .x5                4.342    0.074    4.193    4.481    1.000    normal(0,32) ##    .x6                2.188    0.063    2.061    2.307    0.999    normal(0,32) ##    .x7                4.187    0.064    4.060    4.312    1.000    normal(0,32) ##    .x8                5.529    0.060    5.410    5.649    0.999    normal(0,32) ##    .x9                5.374    0.060    5.257    5.492    1.000    normal(0,32) ##     visual            0.000                                                     ##     textual           0.000                                                     ##     speed             0.000                                                     ##  ## Variances: ##                    Estimate  Post.SD pi.lower pi.upper     Rhat    Prior        ##    .x1                0.677    0.107    0.457    0.885    1.001 gamma(1,.5)[sd] ##    .x2                1.090    0.107    0.897    1.307    1.000 gamma(1,.5)[sd] ##    .x3                0.718    0.114    0.497    0.938    1.000 gamma(1,.5)[sd] ##    .x4                0.388    0.051    0.289    0.490    0.999 gamma(1,.5)[sd] ##    .x5                0.411    0.065    0.291    0.543    1.000 gamma(1,.5)[sd] ##    .x6                0.372    0.044    0.290    0.461    0.999 gamma(1,.5)[sd] ##    .x7                0.714    0.099    0.524    0.914    1.002 gamma(1,.5)[sd] ##    .x8                0.434    0.100    0.218    0.609    1.015 gamma(1,.5)[sd] ##    .x9                0.589    0.067    0.461    0.726    1.003 gamma(1,.5)[sd] ##     visual            1.000                                                     ##     textual           1.000                                                     ##     speed             1.000"},{"path":"http://ecmerkle.github.io/blavaan/articles/cross_loadings_strong_priors.html","id":"caveats","dir":"Articles","previous_headings":"","what":"Caveats","title":"Cross-loadings with strong priors","text":"model possible cross-loadings kept final analysis model, used step make decisions model changes. two main reasons, (1) model overfitted present good overall fit just due inclusion lot nuisance parameters. example posterior predictive p-value goes ppp = 0 ppp = 0.134, model better theoretically inflating model fit. (2), addition small-variance priors can prevent detection important misspecifications Bayesian confirmatory factor analysis, can obscure underlying problems model diluting large number nuisance parameters (Jorgensen et al. 2019).","code":""},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/articles/estimate.html","id":"primary-arguments","dir":"Articles","previous_headings":"","what":"Primary arguments","title":"Model Estimation","text":"Primary arguments model estimation commands include burnin, sample, n.chains, target. burnin sample arguments used specify desired number burn-iterations posterior samples n.chains chains (burnin argument controls warm-iterations Stan). target argument, hand, used specify MCMC strategy used estimation. default, target = \"stan\", tends fastest efficient. options slightly flexible, including target = \"stanclassic\" target = \"jags\". approaches sample latent variables model parameters, whereas target = \"stan\" marginalizes latent variables. detail approaches, see JSS paper.","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/estimate.html","id":"secondary-arguments","dir":"Articles","previous_headings":"","what":"Secondary arguments","title":"Model Estimation","text":"Noteworthy secondary arguments include save.lvs, mcmcfile, mcmcextra, inits. save.lvs argument controls whether latent variables sampled model estimation. defaults FALSE latent variable sampling can take large amount memory, can slow post-estimation summaries. setting save.lvs = TRUE allows model summaries latent variables observed variable predictions using blavPredict() functions. setting mcmcfile = TRUE, users can obtain Stan (JAGS) code data specified model. files written lavExport folder within user’s working directory. One file extension .jag .stan, second file R data file (extension .rda). rda file can loaded R (via load()) list including elements data, monitors, inits. elements can supplied stan() model estimation outside blavaan. mcmcextra argument used supply extra information Stan JAGS. Users can supply list element names monitor, data, syntax, llnsamp. elements respectively used specify extra parameters monitor, extra data pass model estimation, extra syntax include model file (JAGS ), number importance samples likelihood approximation (relevant models ordinal variables). inits argument used control starting values MCMC estimation. can sometimes salvage model immediately crashes. default, inits = \"simple\", initializes model parameters 0 1 fashion similar lavaan’s use argument. second option, inits = \"prior\", draws initial values prior distributions. user can also specify list initial values via argument, though required list format somewhat cumbersome. recommend exporting model data using mcmcfile = TRUE, loading resulting rda file, looking format initial values blavaan created .","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/estimate.html","id":"parallelization","dir":"Articles","previous_headings":"","what":"Parallelization","title":"Model Estimation","text":"Speed always issue sample via MCMC, especially using software like Stan JAGS. computers multiple cores, estimation can sped sending MCMC chain separate core. accomplished bcontrol argument, list whose elements correspond stan() run.jags() arguments. parallelizing chains Stan, want use argument bcontrol = list(cores = 3). Many arguments available control aspects estimation; see ?stan ?run.jags possibilities. Parallelization can also helpful speed post-estimation computations. future package controls parallelization, requires extra command prior estimation. common commands ","code":"library(\"future\") plan(\"multicore\") ## mac or linux plan(\"multisession\") ## windows"},{"path":"http://ecmerkle.github.io/blavaan/articles/invariance.html","id":"model-estimation","dir":"Articles","previous_headings":"","what":"Model Estimation","title":"Measurement Invariance","text":"Consider measurement invariance study Holzinger Swineford (1939) data. lavaan, may first estimate two models: examine absolute fit fit1. also compare fit2 fit1 via Likelihood Ratio Test. Instead , wish something similar via Bayesian methods. accomplish via blavaan, can fit Bayesian versions fit1 fit2 using similar syntax. Model fit comparison statistics available via fitMeasures() blavCompare() functions:","code":"HS.model <- ' visual  =~ x1 + x2 + x3               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9 '  fit1 <- cfa(HS.model, data = HolzingerSwineford1939, group = \"school\")  fit2 <- cfa(HS.model, data = HolzingerSwineford1939, group = \"school\",             group.equal = \"loadings\") bfit1 <- bcfa(HS.model, data = HolzingerSwineford1939, group = \"school\")  bfit2 <- bcfa(HS.model, data = HolzingerSwineford1939, group = \"school\",                group.equal = \"loadings\") fitMeasures(bfit1)  fitMeasures(bfit2)  blavCompare(bfit1, bfit2)"},{"path":"http://ecmerkle.github.io/blavaan/articles/invariance.html","id":"approximate-invariance","dir":"Articles","previous_headings":"","what":"Approximate Invariance","title":"Measurement Invariance","text":"approximate measurement invariance studies, replace hard equality constraints soft constraints using informative prior distributions. wiggle argument can used invoke types constraints. example: constrains loadings associated x2 x3 approximately equal across groups, informative priors associated constraints normal standard deviations 0.05. Using strategy, syntax can become cumbersome. many cases, group.equal argument can help . example: example, model intercepts loadings across-group constraints. loadings approximately equal across groups, due argument wiggle = \"loadings\". intercepts constrained exactly equal across groups. way, becomes easy use exact approximate equality constraints model, desired.","code":"HS.model <- ' visual  =~ x1 + c(\"a\", \"a\")*x2 + c(\"b\", \"b\")*x3               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9 '  bfit3 <- bcfa(HS.model, data = HolzingerSwineford1939, group = \"school\", wiggle = c(\"a\", \"b\"),               wiggle.sd = 0.05) HS.model <- ' visual  =~ x1 + x2 + x3               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9 '       bfit4 <- bcfa(HS.model, data = HolzingerSwineford1939, group = \"school\",               group.equal = c(\"intercepts\", \"loadings\"), wiggle = \"loadings\",               wiggle.sd = 0.05)"},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/articles/mod_indices.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Modification indices","text":"SEM, one first steps evaluate model’s global fit. global fit, need evaluate local fit model, meaning model reproduces specific correlations observed variables. couple common methods , () testing high residual correlations, (b) modification indices. tutorial focuses second. Modification indices test likely change model fit single parameter added model originally included. test can carried every possible parameter included (Bentler 1990).","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/mod_indices.html","id":"modification-indices","dir":"Articles","previous_headings":"","what":"Modification Indices","title":"Modification indices","text":"Modification indices present different indices quantify effect parameter, focus two . () modification index (MI) Lagrange multiplier, estimates extent model’s chi-square (\\(\\chi^2\\)) test statistic decrease parameter added model freely estimated, (b) standardized expected parameter change (SEPC), approximated standardized value parameter estimated model (Whittaker 2012). MI presents possible effect overall model, SEPC presents effect size missed parameter. show example Holzinger Swineford (1939) model. first estimate SEM/CFA model usual need write discrepancy function collect modification indices. list contains two functions estimate save MI SEPC. pass function ppmc() function blavaan. function, MI SEPC computed posterior sample, leading posterior distributions . view top 5 parameters arrange posterior mean (EAP) MI, case shows parameter highest impact overall model fit (according EAP) visual=~x9, cross-loading Visual factor item x9. according posterior median, parameter highest impact residual correlation indicators x7 x8 MI still recommended best metric indicate parameter best include next, can use SEPC evaluate likely effect size respective parameters. see 2 highest parameters, likely SEPC x7~~x8 = 0.799229902211115 visual=~x9 = 0.518551878229323. information can decide include one new parameters model (one time). example, factor loadings larger impact model-implied covariance matrix, choose visual=~x9 can check added parameter expected impact overall fit blavFitIndices() summary() functions. important consider also theoretical relevance suggested parameters, ensure make sense, instead just adding parameters good fit.","code":"HS.model <- ' visual  =~ x1 + x2 + x3               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9 '  fit <- bcfa(HS.model, data=HolzingerSwineford1939, std.lv=TRUE) discFUN <- list(   mod.ind_mi = function(object){     temp <- modificationindices(object, free.remove = F)     mods <- temp$mi     names(mods) <- paste0(temp$lhs, temp$op, temp$rhs)     return(mods)   },   mod.ind_sepc.all = function(object){     temp <- modificationindices(object, free.remove = F)     sepc.all <- temp$sepc.all     names(sepc.all) <- paste0(temp$lhs, temp$op, temp$rhs)     return(sepc.all)   } ) out <- ppmc(fit, discFUN = discFUN) summary(out, prob=.9, discFUN = \"mod.ind_mi\", sort.by=\"EAP\", decreasing=T)[1:5,] ##  ## Posterior summary statistics and highest posterior density (HPD) 90% credible intervals for the posterior distribution of realized discrepancy-function values based on observed data, along with posterior predictive p values to test hypotheses in either direction: ##  ##  ##               EAP Median    MAP     SD  lower  upper PPP_sim_GreaterThan_obs ## visual=~x9 35.353 35.458 35.495 10.624 17.727 52.239                   0.014 ## x7~~x8     32.891 35.539 39.626 14.716  4.604 52.733                   0.079 ## x8~~x9     27.117 12.160  2.726 42.978  0.000 70.495                   0.316 ## x4~~x6     19.784  7.015  1.388 36.713  0.000 52.503                   0.447 ## visual=~x7 18.162 16.144 12.432  9.849  4.183 33.098                   0.015 ##            PPP_sim_LessThan_obs ## visual=~x9                0.986 ## x7~~x8                    0.921 ## x8~~x9                    0.684 ## x4~~x6                    0.553 ## visual=~x7                0.985 summary(out, prob=.9, discFUN = \"mod.ind_mi\", sort.by=\"Median\", decreasing=T)[1:5,] ##  ## Posterior summary statistics and highest posterior density (HPD) 90% credible intervals for the posterior distribution of realized discrepancy-function values based on observed data, along with posterior predictive p values to test hypotheses in either direction: ##  ##  ##                EAP Median    MAP     SD  lower  upper PPP_sim_GreaterThan_obs ## x7~~x8      32.891 35.539 39.626 14.716  4.604 52.733                   0.079 ## visual=~x9  35.353 35.458 35.495 10.624 17.727 52.239                   0.014 ## visual=~x7  18.162 16.144 12.432  9.849  4.183 33.098                   0.015 ## x8~~x9      27.117 12.160  2.726 42.978  0.000 70.495                   0.316 ## textual=~x1 11.011  9.976  5.705  8.318  0.000 22.179                   0.215 ##             PPP_sim_LessThan_obs ## x7~~x8                     0.921 ## visual=~x9                 0.986 ## visual=~x7                 0.985 ## x8~~x9                     0.684 ## textual=~x1                0.785 summary(out, prob=.9, discFUN = \"mod.ind_sepc.all\", sort.by=\"EAP\", decreasing=T)[1:5,] ##  ## Posterior summary statistics and highest posterior density (HPD) 90% credible intervals for the posterior distribution of realized discrepancy-function values based on observed data, along with posterior predictive p values to test hypotheses in either direction: ##  ##  ##               EAP Median   MAP    SD lower upper PPP_sim_GreaterThan_obs ## x7~~x8      0.799  0.790 0.742 0.383 0.487 1.274                   0.045 ## visual=~x9  0.519  0.494 0.466 0.132 0.334 0.688                   0.008 ## textual=~x1 0.272  0.298 0.314 0.175 0.036 0.513                   0.124 ## x1~~x9      0.247  0.247 0.248 0.037 0.198 0.299                   0.018 ## x2~~x3      0.223  0.223 0.219 0.037 0.171 0.282                   0.015 ##             PPP_sim_LessThan_obs ## x7~~x8                     0.955 ## visual=~x9                 0.992 ## textual=~x1                0.876 ## x1~~x9                     0.982 ## x2~~x3                     0.985 HS.model <- ' visual  =~ x1 + x2 + x3 + x9               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9 '  fit2 <- bcfa(HS.model, data=HolzingerSwineford1939, std.lv=TRUE)"},{"path":"http://ecmerkle.github.io/blavaan/articles/mod_indices.html","id":"summary","dir":"Articles","previous_headings":"","what":"Summary","title":"Modification indices","text":"tutorial show calculate MI SEPC across posterior distributions, evaluate parameters can added. ppmc() function able calculate relevant information model estimation, build posterior distributions . general recommendations use MI identify likely parameter add, SEPC effect size new parameter.","code":""},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/articles/model_comparison.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Model Comparison","text":"traditional method model comparison frequentist SEM (fSEM) \\(\\chi^2\\) (Likelihood Ratio Test) variations. BSEM, take Bayesian model comparison methods, apply SEM. Specifically, focus two information criteria, (1) Widely Applicable Information Criterion (WAIC), (2) Leave-One-cross-validation (LOO). methods intend evaluate --sample predictive accuracy models, compare performance. ability predict datapoint hasn’t used training model (McElreath 2020) example use Industrialization Political Democracy example (Bollen 1989).","code":"model <- '   # latent variable definitions      ind60 =~ x1 + x2 + x3      dem60 =~ a*y1 + b*y2 + c*y3 + d*y4      dem65 =~ a*y5 + b*y6 + c*y7 + d*y8    # regressions     dem60 ~ ind60     dem65 ~ ind60 + dem60    # residual correlations     y1 ~~ y5     y2 ~~ y4 + y6     y3 ~~ y7     y4 ~~ y8     y6 ~~ y8 '  fit1 <- bsem(model, data=PoliticalDemocracy,             std.lv=T, meanstructure=T, n.chains=3,             burnin=500, sample=1000)"},{"path":"http://ecmerkle.github.io/blavaan/articles/model_comparison.html","id":"widely-applicable-information-criterion","dir":"Articles","previous_headings":"","what":"Widely Applicable Information Criterion","title":"Model Comparison","text":"WAIC (Watanabe 2010) can seen fully Bayesian generalization Akaike Information Criteria (AIC), measure uncertainty/information model prediction row data across posterior draws. Log-Pointwise-Predictive-Density (lppd). WAIC defined \\[\\begin{equation} WAIC= -2lppd + 2efp_{WAIC}, \\end{equation}\\] first term involves log-likelihoods observed data (marginal latent variables) second term effective number parameters. first term, \\(lppd\\), estimated : \\[\\begin{equation} \\widehat{lppd} = \\sum^{n}_{= 1} log \\Bigg(\\frac{1}{S}\\sum^{S}_{S=1}f(y_{}|\\theta^{S}) \\Bigg) \\end{equation}\\] \\(S\\) number posterior draws \\(f(y_{}|\\theta^{S})\\) density observation \\(\\) respect parameter sampled iteration \\(s\\). effective number parameter (\\(efp_{WAIC}\\)) calculated : \\[\\begin{equation}\\label{eq:efpWAIC} efp_{WAIC} = \\sum^n_{=1}var_{s}(logf(y_{}|\\theta)) \\end{equation}\\] separate variance estimated observation \\(\\) across \\(S\\) posterior draws.","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/model_comparison.html","id":"leave-one-out-cross-validation","dir":"Articles","previous_headings":"","what":"Leave-One-Out cross-validation","title":"Model Comparison","text":"LOO measures predictive density observation holding one observation time use rest observations update prior. estimation calculated via (Vehtari, Gelman, Gabry 2017): \\[\\begin{equation}     LOO = -2\\sum_{=1}^{n} log \\Bigg(\\frac{\\sum^{S}_{s =1} w^{s}_{}f(y_{}|\\theta^{s})}{\\sum^{s}_{s=1} w^{s}_{}}\\Bigg) \\end{equation}\\] \\(w^s_{}\\) Pareto-smoothed sampling weights based relative magnitude individual \\(\\) density function across \\(S\\) posterior samples. LOO effective number parameters involves \\(lppd\\) term WAIC: \\[\\begin{equation}     efp_{LOO} = lppd + LOO/2 \\end{equation}\\]","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/model_comparison.html","id":"model-comparison","dir":"Articles","previous_headings":"","what":"Model comparison","title":"Model Comparison","text":"WAIC LOO approximate models’ performance across posterior draws, able calculate standard error model comparisons involving . model differences estimate differences across Expected Log-Pointwise-Predictive-Density (elpd), standard error respective difference. clear cutoff rules interpret present comparisons, researchers need use expert knowledge part decision process. best recommendation present differences elpd \\(\\Delta elpd\\), standard error, ratio . ratio least 2 can consider evidence differences models, ratio 4 considered stronger evidence. first example, compare standard political democracy model, model factor regressions fixed 0. 2 models, can compare blavCompare looking comparison object, can see WAIC, LOO, estimates, respective differences . information criteria, best model one lowest value case can see model 1 lower LOOIC, ratio shows LOO differences 5 SE magnitude. indicates model estimated regressions better Now, lets look example smaller difference models, smallest regression (dem65~ind60) fixed 0. see LOOIC, see difference two models minimal, ratio 0.21. indicates models functionally equivalent. case like , researchers decide model better representation, theoretically stronger. Lets one last model, largest regression (dem65~dem60) fixed 0. case, looking LOOIC, see model one better (lower value), ratio difference shows model 5 SE magnitude. Indicating evidence model predictive differences","code":"model <- '   # latent variable definitions      ind60 =~ x1 + x2 + x3      dem60 =~ a*y1 + b*y2 + c*y3 + d*y4      dem65 =~ a*y5 + b*y6 + c*y7 + d*y8    # regressions     dem60 ~ 0*ind60     dem65 ~ 0*ind60 + 0*dem60    # residual correlations     y1 ~~ y5     y2 ~~ y4 + y6     y3 ~~ y7     y4 ~~ y8     y6 ~~ y8 '  fit2 <- bsem(model, data=PoliticalDemocracy,             std.lv=T, meanstructure=T, n.chains=3,             burnin=500, sample=1000) bc12 <- blavCompare(fit1, fit2) bc12 ## $bf ##   bf mll1 mll2  ##   NA   NA   NA  ##  ## $loo ## $loo[[1]] ##             Estimate        SE ## elpd_loo -1605.98527 19.536493 ## p_loo       37.44917  2.909146 ## looic     3211.97053 39.072986 ##  ## $loo[[2]] ##             Estimate        SE ## elpd_loo -1647.26511 18.903569 ## p_loo       34.95449  2.762597 ## looic     3294.53022 37.807138 ##  ##  ## $diff_loo ##  elpd_diff    se_diff  ## -41.279842   7.929763  ##  ## $waic ## $waic[[1]] ##              Estimate        SE ## elpd_waic -1605.71645 19.495760 ## p_waic       37.18036  2.859764 ## waic       3211.43290 38.991519 ##  ## $waic[[2]] ##              Estimate        SE ## elpd_waic -1646.93028 18.855412 ## p_waic       34.61966  2.701547 ## waic       3293.86057 37.710823 ##  ##  ## $diff_waic ##  elpd_diff    se_diff  ## -41.213833   7.934142 abs(bc12$diff_loo[1] / bc12$diff_loo[2]) ## elpd_diff  ##  5.205684 model <- '   # latent variable definitions      ind60 =~ x1 + x2 + x3      dem60 =~ a*y1 + b*y2 + c*y3 + d*y4      dem65 =~ a*y5 + b*y6 + c*y7 + d*y8    # regressions     dem60 ~ ind60     dem65 ~ 0*ind60 + dem60    # residual correlations     y1 ~~ y5     y2 ~~ y4 + y6     y3 ~~ y7     y4 ~~ y8     y6 ~~ y8 '  fit3 <- bsem(model, data=PoliticalDemocracy,             std.lv=T, meanstructure=T, n.chains=3,             burnin=500, sample=1000) bc13 <- blavCompare(fit1, fit3) bc13 ## $bf ##   bf mll1 mll2  ##   NA   NA   NA  ##  ## $loo ## $loo[[1]] ##             Estimate        SE ## elpd_loo -1605.98527 19.536493 ## p_loo       37.44917  2.909146 ## looic     3211.97053 39.072986 ##  ## $loo[[2]] ##             Estimate        SE ## elpd_loo -1606.11048 19.433361 ## p_loo       37.06705  2.878051 ## looic     3212.22095 38.866721 ##  ##  ## $diff_loo ##  elpd_diff    se_diff  ## -0.1252094  0.9510588  ##  ## $waic ## $waic[[1]] ##              Estimate        SE ## elpd_waic -1605.71645 19.495760 ## p_waic       37.18036  2.859764 ## waic       3211.43290 38.991519 ##  ## $waic[[2]] ##              Estimate        SE ## elpd_waic -1605.79055 19.391122 ## p_waic       36.74713  2.818093 ## waic       3211.58111 38.782244 ##  ##  ## $diff_waic ##   elpd_diff     se_diff  ## -0.07410337  0.93308009 abs(bc13$diff_loo[1] / bc13$diff_loo[2]) ## elpd_diff  ## 0.1316526 model <- '   # latent variable definitions      ind60 =~ x1 + x2 + x3      dem60 =~ a*y1 + b*y2 + c*y3 + d*y4      dem65 =~ a*y5 + b*y6 + c*y7 + d*y8    # regressions     dem60 ~ ind60     dem65 ~ ind60 + 0*dem60    # residual correlations     y1 ~~ y5     y2 ~~ y4 + y6     y3 ~~ y7     y4 ~~ y8     y6 ~~ y8 '  fit4 <- bsem(model, data=PoliticalDemocracy,             std.lv=T, meanstructure=T, n.chains=3,             burnin=500, sample=1000) bc14 <- blavCompare(fit1, fit4) bc14 ## $bf ##   bf mll1 mll2  ##   NA   NA   NA  ##  ## $loo ## $loo[[1]] ##             Estimate        SE ## elpd_loo -1605.98527 19.536493 ## p_loo       37.44917  2.909146 ## looic     3211.97053 39.072986 ##  ## $loo[[2]] ##             Estimate        SE ## elpd_loo -1629.69158 19.878811 ## p_loo       38.00518  3.008267 ## looic     3259.38316 39.757622 ##  ##  ## $diff_loo ##  elpd_diff    se_diff  ## -23.706316   4.030688  ##  ## $waic ## $waic[[1]] ##              Estimate        SE ## elpd_waic -1605.71645 19.495760 ## p_waic       37.18036  2.859764 ## waic       3211.43290 38.991519 ##  ## $waic[[2]] ##              Estimate        SE ## elpd_waic -1629.33574 19.837380 ## p_waic       37.64934  2.955757 ## waic       3258.67148 39.674760 ##  ##  ## $diff_waic ##  elpd_diff    se_diff  ## -23.619290   4.019731 abs(bc14$diff_loo[1] / bc14$diff_loo[2]) ## elpd_diff  ##  5.881457"},{"path":"http://ecmerkle.github.io/blavaan/articles/model_comparison.html","id":"bayes-factor","dir":"Articles","previous_headings":"","what":"Bayes factor","title":"Model Comparison","text":"Bayesian literature use Bayes factor (BF) compare models. number criticisms related use BF BSEM, including (1) BF unstable large models (like SEMs), (2) highly sensitive model priors, (3) requires strong priors stable estimation , (4) can require large number posterior draws, (5) estimation using marginal likelihood ignores lot information posterior distributions. details discussion please see Tendeiro Kiers (2019) Schad et al. (2022). criticisms lead us recommend use BF everyday BSEM estimation. researchers commit prior distributions commit exploring noise computations, BF can used describe relative odds one model another, intuitive model comparison metrics.","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/model_comparison.html","id":"summary","dir":"Articles","previous_headings":"","what":"Summary","title":"Model Comparison","text":"recommend use LOO WAIC general model comparison metrics BSEM. allow us estimate models’ --sample predictive accuracies, respective differences across posterior draws. also provide us uncertainty estimates comparison. cases LOO WAIC lead similar results, LOO recommended stable metric (Vehtari, Gelman, Gabry 2017). general, \\(\\Delta elpd\\) least 2 standard errors preferably 4 standard errors can interpreted evidence differential predictive accuracy.","code":""},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/articles/multilevel.html","id":"blavaan-coverage","dir":"Articles","previous_headings":"","what":"blavaan Coverage","title":"Two-level SEM","text":"version 0.5-1, blavaan handles two-level, random intercept models complete, continuous data. Handling missing data (assuming missingness random) come future release. meantime, multiple imputation might used combination current blavaan functionality (though currently automatic way ). Alternatively, much missing data occurs lower-level units, listwise deletion work. blavaan approach model estimation mimics lavaan approach, uses matrix results (see Rosseel 2021) enable us efficiently evaluate multilevel SEM likelihood. often lead efficient MCMC estimation, compared sampling level 1 level 2 latent variables working conditional likelihoods (see Merkle et al. 2021 discussion marginal vs conditional likelihoods). Similar single-level models, users can sample latent variables using save.lvs = TRUE argument bcfa/bsem/bgrowth/blavaan commands. Marginal information criteria (marginal latent variables) also automatically computed, information criteria generally preferred condition latent variables (see Merkle, Furr, Rabe-Hesketh 2019 detail context single-level models).","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/multilevel.html","id":"bayes-specific-options","dir":"Articles","previous_headings":"","what":"Bayes-specific Options","title":"Two-level SEM","text":"Bayesian models require prior distributions. previous blavaan defaults single-level models now used two-level models. can continue use commands like dpriors(lambda = \"normal(1,.5)\") specify Normal(1,.5) prior factor loadings , two-level models, specification apply level 1 level 2 loadings. Depending model, may also useful specify priors individual parameters via prior() argument inside model specification syntax. default prior distributions always work well observed variables whose values far 0. continue encourage users consider prior distributions, possibly using prisamp = TRUE option draw samples prior (used prior predictive checking). Model checking also differs Bayesian frequentist methods. Just like one-level models, blavaan reports posterior predictive p-value general model assessment. computed comparing marginal likelihood observed data (marginal latent variables) marginal likelihood artificial data, iteration MCMC sampling. finer-grained model assessment, encourage users try ppmc(). allows compute posterior predictive p-value using , custom model assessment (defined R function).","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/multilevel.html","id":"concluding-thoughts","dir":"Articles","previous_headings":"","what":"Concluding Thoughts","title":"Two-level SEM","text":"think new blavaan functionality provides viable option Bayesian two-level SEM, provide solid base future model developments. always, underlying Stan files supporting data available via mcmcfile = TRUE argument, blavaan code available Github. Bug reports appreciated, either blavaan Google group Github issue.","code":""},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/articles/ordinal.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Ordinal Models in blavaan","text":"Structural equation models ordinal observed variables supported starting blavaan 0.4-1 (target=\"stan\" ). document describes overall approach, includes model estimation, threshold parameters, log-likelihood calculation, posterior predictive p-values, Jacobians. assume somewhat familiar layout SEM; , technical detail examples found Merkle Rosseel (2018) , recently, Merkle et al. (2021) (links papers references section). aim provide enough detail elucidate new blavaan features, informal enough get () bored.","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/ordinal.html","id":"estimation","dir":"Articles","previous_headings":"","what":"Estimation","title":"Ordinal Models in blavaan","text":"Ordinal observed variables handled via data augmentation, style Chib Greenberg (1998). might already know , phrase data augmentation imprecise context SEM. many possible things augmented, can make model estimation easier. augmenting observed data predictions missing data, related multiple imputation methods. augmenting observed data latent variables, can simplify likelihood calculation (leading sometimes called conditional likelihood, though conditional also many meanings). augmenting categorical observed variables underlying, latent continuous variables. last type augmentation . testing, found faster efficient approaches sample latent variables alongside model parameters (latent variables integrated likelihoods ; similar description Merkle et al. (2021)). data augmentation implementation, ordinal observation (e.g., \\(y\\)) used generate continuous, underlying counterpart (e.g., \\(y^\\ast\\)). \\(y^\\ast\\) must obey model’s threshold parameters (commonly denoted \\(\\mathbf{\\tau}\\)), based value observed data. example, ignoring subscripts \\(y^\\ast\\) assuming ordinal variable 4 categories, \\[\\begin{align*} y^* < \\tau_1 &\\text{ }y = 1 \\\\ \\tau_1 <\\ y^* < \\tau_2 &\\text{ }y = 2 \\\\ \\tau_2 <\\ y^* < \\tau_3 &\\text{ }y = 3 \\\\ y^* >\\ \\tau_3 &\\text{ }y = 4 \\end{align*}\\] require \\(\\tau_1 < \\tau_2 < \\tau_3\\). generate \\(y^*\\) separately ordinal observation dataset. become additional, bounded parameters Stan file. Stan User’s Guide helpful example multivariate probit regression using related approach; see https://mc-stan.org/docs/2_27/stan-users-guide/multivariate-outcomes.html. trickiest parts involve enforcing boundaries \\(y^*\\) variables, ensuring threshold parameters ordinal variable ordered correctly (allowing possibility different ordinal variables different numbers thresholds). require Jacobian adjustments took good deal time code correctly (detail appears later section). parameters defined generated, remainder model estimation similar simpler situation observed variables continuous. terms Stan file, ordinal overhead comes transformed parameters block. get model block, things operate continuous data.","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/ordinal.html","id":"thresholds-priors","dir":"Articles","previous_headings":"","what":"Thresholds & Priors","title":"Ordinal Models in blavaan","text":"prior distributions threshold (\\(\\tau\\)) parameters involved may appear. , described previous section, threshold parameters single variable must ordered. say, example, thresholds normal(0,1) prior distribution, ignoring fact one threshold’s value influences size thresholds’ values. Michael Betancourt describes Stan Discourse, prior “interacts (ordering) constraint enforce sort uniform repulsion interior points, resulting rigid differences.” quote https://discourse.mc-stan.org/t/prior-choice--ordered-inverse-transformed-parameters/16378/3 address issue, first define unconstrained, unordered parameter vector whose length equals number thresholds model. Call vector \\(\\mathbf{\\tau}^*\\). obtain ordered thresholds exponentiating unordered parameter vector specific manner. manner works exactly Stan defines parameter type ordered. See https://mc-stan.org/docs/2_28/reference-manual/ordered-vector.html. Additionally, similar idea independently developed signal detection models Paulewicz Blaut (2020) (see bhsdtr package). idea easily shown via example. Say ordinal variable 4 categories. three thresholds variable obtained via: \\[\\begin{align*} \\tau_1 &= \\tau^*_1 \\\\ \\tau_2 &= \\tau^*_1 + \\exp(\\tau^*_2) \\\\ \\tau_3 &= \\tau^*_1 + \\exp(\\tau^*_2) + \\exp(\\tau^*_3). \\end{align*}\\] place normal prior distributions unordered \\(\\tau^*\\) parameters, opposed placing priors ordered \\(\\tau\\) parameters. normal priors imply lowest threshold (\\(\\tau_1\\) ) normal prior, differences successive \\(\\tau\\)’s log-normal priors. blavaan, priors can specified usual two ways. First, add dp argument model estimation command follows. assign prior unordered \\(\\tau^*\\) parameters model. Second, specify priors specific threshold parameters model specification syntax. example, say 4-category observed variable called x1. unique priors three thresholds specified model syntax via clear time priors \\(\\tau^*\\) parameters best option. 2019 paper, Michael Betancourt describes Dirichlet prior regularizes thresholds ordinal regression model. strategy seem work SEM, especially useful datasets categories ordinal variable sparse. issues warrant study. https://betanalpha.github.io/assets/case_studies/ordinal_regression.html","code":"dp = dpriors(tau = \"normal(0, .5)\") x1 | prior(\"normal(-1, 1)\") * t1 + prior(\"normal(0, .5)\") * t2 + prior(\"normal(0, 1)\") * t3"},{"path":"http://ecmerkle.github.io/blavaan/articles/ordinal.html","id":"likelihood-computations","dir":"Articles","previous_headings":"","what":"Likelihood Computations","title":"Ordinal Models in blavaan","text":"get continuous data model block, seems reasonable expect simple likelihood computations. depends likelihood want compute. likelihood used sampling Stan simple multivariate normal \\(y^*\\) observations, combined continuous observed variables model. indeed simple compute. likelihood want use model comparison. one thing, \\(y^*\\) parameters associated ordinal data involved likelihood, quantities like effective number parameters become inflated. number parameters involved likelihood also increases sample size, generally bad land model comparison metrics. See Merkle, Furr, Rabe-Hesketh (2019) detail . means , quantities like WAIC PSIS-LOO, must compute second model likelihood involves observed, ordinal \\(y\\) variables integrates latent \\(y^*\\) variables. difficult problem amounts evaluating CDF sometimes-high-dimensional, multivariate normal distribution (see Chib Greenberg 1998, Equation 11). multiple possibilities approximating CDF. currently rely sadmvn() function mnormt package (Azzalini Genz 2020), uses subregion adaptive integration method Genz (1992) fast accurate (15 fewer ordinal variables model). second possibility involves Monte Carlo simulation, implemented tmvnsim package (Bhattacjarjee 2016). case, generate many random samples appropriate truncated multivariate normal average resulting importance sampling weights. procedure computationally intensive also time intensive, balance number random samples drawn amount time takes. users wish use tmvnsim(), must declare number importance samples draw. accomplished setting llnsamp within mcmcextra$data argument. example, draw 100 samples approximation, call bsem() similar functions include argument Beyond two methods, also possible use quadrature latent variables. Many people consider quadrature gold standard , quadrature reduce dimension integration many models (usually fewer latent variables observed variables). quadrature specific SEM, fast, efficient, open implementations method appear currently exist (implementations hidden blavaan, pure R implementations fairly slow). hand, approximation multivariate normal CDF general problem multiple fast, efficient, open implementations, long many ordinal variables model. also exists relatively new method Z. . Botev (2017) evaluating CDF multivariate normal, implementation method appearing package TruncatedNormal (Z. Botev Belzile 2021). method especially useful evaluating high-dimensional normal distributions (case, 15 ordinal variables), may incorporated future versions blavaan.","code":"mcmcextra = list(data = list(llnsamp = 100))"},{"path":"http://ecmerkle.github.io/blavaan/articles/ordinal.html","id":"comparison-to-lavaan","dir":"Articles","previous_headings":"","what":"Comparison to lavaan","title":"Ordinal Models in blavaan","text":"Ordinal SEM associated two types model parameterizations: delta theta. refer different scale parameterizations \\(y^*\\) variables: delta refers total standard deviation \\(y^*\\) (including variability due latent variables), theta refers residual standard deviation \\(y^*\\). blavaan, theta parameterization implemented. , want compare lavaan results blavaan results, need use argument parameterization = \"theta\" estimate lavaan model. Also, default lavaan estimator ordinal models multiple-step procedure involves weighted least squares discrepancy function. resulting parameter estimates sometimes far posterior means reported blavaan. blavaan estimates usually closer estimator=\"PML\" lavaan.","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/ordinal.html","id":"posterior-predictive-p-values","dir":"Articles","previous_headings":"","what":"Posterior Predictive p-values","title":"Ordinal Models in blavaan","text":"Posterior predictive p-value (ppp) computations receive speed boost 0.4 series. computations now occur Stan, whereas previously occurred R model estimation. discussed Asparouhov Muthén (2021), ppp computations needed models missing data can excessively slow, requiring us run EM algorithm posterior sample order find “H1” (“saturated”) model covariance matrix. solution Asparouhov Muthén (2021) involves realization need use fully-optimized H1 covariance matrix order compute ppp. blavaan, consequently run EM algorithm fixed number iterations order compute H1 covariance matrix “good enough” ppp. default number iterations set 20, users can change default supplying emiter value via mcmcextra argument. example,","code":"mcmcextra = list(data = list(emiter = 50))"},{"path":"http://ecmerkle.github.io/blavaan/articles/ordinal.html","id":"jacobians","dir":"Articles","previous_headings":"","what":"Jacobians","title":"Ordinal Models in blavaan","text":"(section likely relevant editing/writing Stan models.) Stan model underlying blavaan currently requires Jacobian adjustments two places. section briefly reviews ideas underneath adjustments, future self may wish remember. need Jacobian adjustment place prior something appear Stan parameters block. Jacobian tells us implied priors things parameters block, based priors appear model block. Jacobian comes statistics literature “change variables”: applying function random variables, finding distribution function based original distribution random variables. comes Stan models, means starting priors model block finding implied priors parameters block. confused long time , Stan file, functions naturally go opposite direction: starting parameters block, moving model block. fact functions go model parameters convenient, though, Jacobian adjustments require inverse functions. inverse functions move us parameters model, already exist Stan model. just need find appropriate derivatives functions, lead Jacobian. example, consider fact blavaan allows users choose whether priors go standard deviation, variance, precision parameters. standard deviations appear parameters block regardless user chooses (Stan model precompiled time package installation). Say user wants priors precisions. transform standard deviations precisions model block, put prior precision. addition prior, need Jacobian function starts standard deviation (call \\(\\sigma\\)) transforms precision (\\(\\sigma^{-2}\\)). derivative \\(\\sigma^{-2}\\) respect \\(\\sigma\\) \\(-2 \\sigma^{-3}\\). simple function mapping single parameter different value, Jacobian absolute value derivative, \\(2 \\sigma^{-3}\\). Stan file, add log Jacobian target: examples discussion can found : https://mc-stan.org/users/documentation/case-studies/mle-params.html","code":"target += log(2) - 3*log(sigma)"},{"path":"http://ecmerkle.github.io/blavaan/articles/ordinal.html","id":"summary","dir":"Articles","previous_headings":"","what":"Summary","title":"Ordinal Models in blavaan","text":"blavaan 0.4 series offers enhanced functionality variety areas. computational decisions made reflect balance estimation precision estimation speed. case software defaults behave poorly situations. example, default prior distributions can problematic certain situations, likelihood approximations ordinal models may precise desired, new ppp computations may behave differently previous computations. encourage users carry sensitivity analyses, also report bugs!","code":""},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/articles/plotting.html","id":"basics","dir":"Articles","previous_headings":"","what":"Basics","title":"Plot Functionality","text":"many blavaan models many parameters, users generally need specify parameters wish plot. accomplished supplying numbers pars argument, numbers correspond order parameters coef() command (numbers also appear free column parameter table). Users must also specify type plot desire via plot.type argument. , example, trace plot first four model parameters looks like  Many plot types available, coming bayesplot package. general, bayesplot functions begin mcmc_, corresponding plot.type remainder function name without leading mcmc_. Examples many plots can found bayesplot vignette.","code":"plot(fit, pars = 1:4, plot.type = \"trace\")"},{"path":"http://ecmerkle.github.io/blavaan/articles/plotting.html","id":"customization","dir":"Articles","previous_headings":"","what":"Customization","title":"Plot Functionality","text":"Users may wish customize aspects resulting plots. , plot() function output ggplot object. makes possible modify plot ggplot object, allows many possibilities. One starting point exploring ggplot2 .  Alternatively, users may wish create plot entirely different available via plot(). can facilitated extracting posterior samples Stan model, via blavInspect():","code":"p <- plot(fit, pars = 1:4, plot.type = \"trace\", showplot = FALSE)  p + facet_text(size=15) + legend_none() ## list of draws ## (one list entry per chain): draws <- blavInspect(fit, \"mcmc\")  ## convert the list to a matrix ## (each row is a sample, ##  each column is a parameter) draws <- do.call(\"rbind\", draws)  ## Stan (or JAGS) model modobj <- blavInspect(fit, \"mcobj\")"},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/articles/prior.html","id":"defaults","dir":"Articles","previous_headings":"","what":"Defaults","title":"Specifying Prior Distributions","text":"default priors can seen via important note prior distributions correspond Stan parameterizations. similar R parameterizations necessarily exactly . Greek(ish) names correspond following parameter types (MV manifest/observed variable LV latent variable): information priors thresholds, see ordinal modeling details. target = \"stan\" (default), priors currently restricted one distribution per parameter type. can change prior distribution parameters (example, mean standard deviation normal), change prior distribution type. exceptions “theta” “psi” parameters: , can use modifiers “[sd]”, “[var]”, “[prec]” specify whether want priors apply standard deviation, variance, precision. require flexibility prior specification, change target either \"stanclassic\" (old Stan approach) \"jags\" (JAGS approach). Alternatively, can export Stan model via mcmcfile = TRUE, edit file needed, fit via rstan package. modify prior distributions, simply supply new text string dpriors() like : default prior loadings now normal mean 1 standard deviation 2, rest parameters remain original defaults. next time estimate model (via bsem(), bcfa(), bgrowth(), blavaan()), add argument dp=mydp use new set default priors.","code":"dpriors() ##                nu             alpha            lambda              beta  ##    \"normal(0,32)\"    \"normal(0,10)\"    \"normal(0,10)\"    \"normal(0,10)\"  ##             theta               psi               rho             ibpsi  ## \"gamma(1,.5)[sd]\" \"gamma(1,.5)[sd]\"       \"beta(1,1)\" \"wishart(3,iden)\"  ##               tau  ##   \"normal(0,1.5)\" ##                  nu               alpha              lambda                beta  ##      \"MV intercept\"      \"LV intercept\"           \"Loading\"        \"Regression\"  ##               theta                 psi                 rho               ibpsi  ##      \"MV precision\"      \"LV precision\"       \"Correlation\" \"Covariance matrix\"  ##                 tau  ##         \"Threshold\" mydp <- dpriors(lambda=\"normal(1,2)\") mydp ##                nu             alpha            lambda              beta  ##    \"normal(0,32)\"    \"normal(0,10)\"     \"normal(1,2)\"    \"normal(0,10)\"  ##             theta               psi               rho             ibpsi  ## \"gamma(1,.5)[sd]\" \"gamma(1,.5)[sd]\"       \"beta(1,1)\" \"wishart(3,iden)\"  ##               tau  ##   \"normal(0,1.5)\""},{"path":"http://ecmerkle.github.io/blavaan/articles/prior.html","id":"individual-parameters","dir":"Articles","previous_headings":"","what":"Individual Parameters","title":"Specifying Prior Distributions","text":"addition setting prior one type model parameter, user may wish set prior specific model parameter. accomplished using prior() modifier within model specification. example, consider following syntax Holzinger Swineford (1939) confirmatory factor model: loading visual x2 now normal prior mean 1 standard deviation 2, loading textual x6 normal prior mean 3 standard deviation 1.5. loadings default prior distribution. syntax, additionally specified gamma(3,3) prior associated residual x1. [sd] text end distribution says prior goes residual standard deviation, opposed residual precision residual variance. exist two options : [var] option residual variance, brackets precision (also use [prec]). bracketed text can used model variance/SD/precision parameter also used default prior specification desired.","code":"HS.model <- ' visual  =~ x1 + prior(\"normal(1,2)\")*x2 + x3               textual =~ x4 + x5 + prior(\"normal(3,1.5)\")*x6               speed   =~ x7 + x8 + x9                x1 ~~ prior(\"gamma(3,3)[sd]\")*x1 '"},{"path":"http://ecmerkle.github.io/blavaan/articles/prior.html","id":"covariance-parameters","dir":"Articles","previous_headings":"","what":"Covariance Parameters","title":"Specifying Prior Distributions","text":"One additional note covariance parameters defined model syntax: prior() syntax specifies prior correlation associated covariance parameter, opposed covariance . specified distribution support (0,1), blavaan automatically translates prior equivalent distribution support (-1,1). safest stick beta priors . example, syntax places Beta(1,1) (uniform) prior correlation visual textual factors. desired, also specify priors standard deviations (variances precisions) visual textual factors. Together prior correlation, priors imply prior covariance visual textual.","code":"HS.model <- ' visual  =~ x1 + x2 + x3               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9                visual ~~ prior(\"beta(1,1)\")*textual '"},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/articles/prior_pred_checks.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Prior Predictive Checks","text":"Bayesian models need specify priors model parameters. Priors distribution think parameters follow, even data. can represent high low uncertainty, diffuse prior indicates don know lot parameter behave, informative prior means quite certain expected distribution.","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/prior_pred_checks.html","id":"prior-predictive-checks","dir":"Articles","previous_headings":"","what":"Prior Predictive Checks","title":"Prior Predictive Checks","text":"Prior predictive checks (PPC) generate data according prior order asses whether prior appropriate (Gabry et al. 2019). posterior predictive check generates replicated data according posterior predictive distribution. contrast, prior predictive check generates data according prior predictive distribution \\(y^{sim} ∼ p(y)\\). prior predictive distribution just like posterior predictive distribution observed data, prior predictive check nothing limiting case posterior predictive check data. easy carry mechanically simulating parameters \\(θ^{sim}∼p(\\theta)\\) according priors, simulating data \\(y^{sim}∼p(y∣ \\theta^{sim})\\) according sampling distribution given simulated parameters. result simulation joint distribution, \\((y^{sim},θ^{sim})∼p(y,\\theta)\\) thus \\(y^{sim}∼p(y)\\) simulation prior predictive distribution. blavaan can get PPC use argument prisamp=TRUE , tell blavaan ignore data buil distributions priors. start adjusting priors, instead using default priors.","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/prior_pred_checks.html","id":"weakly-informative-priors","dir":"Articles","previous_headings":"Prior Predictive Checks","what":"Weakly informative priors","title":"Prior Predictive Checks","text":"show example Holzinger Swineford (1939) data, first case weakly informative priors. stpecifying observeded variable intercepts prior \\(N(3, 2)\\), factor loadings prior \\(N(0.4, 2)\\), residual standard deviation prior \\(\\Gamma(1,1)\\). estimate BSEM model respective priors dp argument, prisamp=TRUE, getting PPC instead posterior distributions. might get warning messages either divergent /failed convergence. ignore messages likely issues evaluations prior predictions. now blavaan object prior predictive distributions, can use package functions describe , see parameters within expected ranges. example can get PPC density distributions first 9 parameters (factor loadings case). basic plot() method calls functions bayesplot package (Gabry Mahr 2021) plot.type = \"dens\" argument can plot density distributions  can also pick parameters plot, like factor correlations chossing parameters 19:21 case  factor loadings distributions see first loading factor bounded 0, due modeling identification constraint blavaan, maximum values aroun 6. distributions range -6 6 -4 4, priors likely value around 0. described weakly informative priors allows range begative positive values without allowing crazy high/low values Note realistic range dependen parameter, model specification, data. , consider priors function characterictics. factor correlations kept deafult diffuse priors, allowed high low correlation, prior distributions flat across possible correlation values.","code":"priors <- dpriors(nu=\"normal(3,2)\",                   lambda=\"normal(0.4, 2)\",                   theta=\"gamma(1,1)[sd]\") HS.model <- ' visual  =~ x1 + x2 + x3               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9 '  fit_wi <- bcfa(HS.model, data=HolzingerSwineford1939,              std.lv=TRUE, meanstructure=T, test = \"none\",             dp=priors, prisamp = T) plot(fit_wi, pars=1:9, plot.type = \"dens\") plot(fit_wi, pars=19:21, plot.type = \"dens\")"},{"path":"http://ecmerkle.github.io/blavaan/articles/prior_pred_checks.html","id":"default-priors","dir":"Articles","previous_headings":"Prior Predictive Checks","what":"Default priors","title":"Prior Predictive Checks","text":"next example, estimate PPC package default priors, consider diffuse priors. can see blavaan default priors function dpriors() estimate BSEM model ignore dp argument letting run default priors, prisamp=TRUE, getting PPC instead posterior distributions. can plot density distributions compare . see default diffuse priors, model allows high values -30 30  way can see diffuse priors allows higher range values. researcher decide range priors better present expectations. important note PPC allows see expected distributions based priors, might priors used estimation process, priors interact model specification constraints (o bound constraint first factor loading) (Merkle et al. 2023)","code":"dpriors() ##                nu             alpha            lambda              beta  ##    \"normal(0,32)\"    \"normal(0,10)\"    \"normal(0,10)\"    \"normal(0,10)\"  ##             theta               psi               rho             ibpsi  ## \"gamma(1,.5)[sd]\" \"gamma(1,.5)[sd]\"       \"beta(1,1)\" \"wishart(3,iden)\"  ##               tau  ##   \"normal(0,1.5)\" fit_df <- bcfa(HS.model, data=HolzingerSwineford1939,              std.lv=TRUE, meanstructure=T, test = \"none\",              prisamp = T) plot(fit_df, pars=1:9, plot.type = \"dens\")"},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/articles/probability_direction.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Probability of Direction","text":"Probability Direction (pd) index effect existence, ranging 0% 100%, representing certainty effect goes particular direction (.e., positive negative) (Makowski et al. 2019). Beyond simplicity interpretation, understanding computation, index also presents interesting properties: independent model: solely based posterior distributions require additional information data model. robust scale response variable predictors. *strongly correlated frequentist p-value, can thus used draw parallels give reference readers non-familiar Bayesian statistics. Can interpreted probability parameter (described posterior distribution) chosen cutoff, explicit hypothesis. mathematically defined proportion posterior distribution satisfies specified hypothesis. Although differently expressed, index fairly similar (.e., strongly correlated) frequentist p-value.","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/probability_direction.html","id":"probability-of-direction-pd","dir":"Articles","previous_headings":"","what":"Probability of Direction (pd)","title":"Probability of Direction","text":"example use Industrialization Political Democracy example (Bollen 1989). first estimate latent regression model can look overall model results summary function, case also asking standardized estimates, \\(R^2\\) calculate probability direction use function package brms (Bürkner 2017) Ans need extract posterior draws matrix, also important note parameters posterior draws named Stan underlying object names, instead (b)lavaan parameter names. can see parameter name equates partable() function, follows example focus regressions factors Now, can calculate pd, hypothesis() function brms can ask specific question posterior distributions, example want know proportion regression dem65~ind60 higher 0. function requires 2 arguments, posterior draws (mc_out) hypothesis (bet_sign[2] > 0), also adding ``alpha``` argument specifies size credible intervals estimate presents mean posterior distribution, respective measures variability (deviation credible interval). Post.Prob pd stated hypothesis, example can say 91% posterior distribution dem65~ind60 lower 0. equivalent one-tail test. Evid.Ratio evidence ratio hypothesis, hypothesis form \\(> b\\), evidence ratio ratio posterior probability \\(> b\\) posterior probability \\(< b\\) another example, want know proportion regression dem60~ind60 higher 0. can see 100% posterior probability higher 0, case Evid.Ratio = Inf, happens whole distribution fulfills hypothesis. another possible case interest, use test equalities parameters, example can test dem60~ind60 higher dem65~ind60. see 97% posteriors state dem60~ind60 higher dem65~ind60, mean difference (dem60~ind60 - dem65~ind60) Estimate=0.46","code":"model <- '   # latent variable definitions      ind60 =~ x1 + x2 + x3      dem60 =~ a*y1 + b*y2 + c*y3 + d*y4      dem65 =~ a*y5 + b*y6 + c*y7 + d*y8    # regressions     dem60 ~ ind60     dem65 ~ ind60 + dem60    # residual correlations     y1 ~~ y5     y2 ~~ y4 + y6     y3 ~~ y7     y4 ~~ y8     y6 ~~ y8 '  fit <- bsem(model, data=PoliticalDemocracy,             std.lv=T, meanstructure=T) summary(fit, standardize=T, rsquare=T) ## blavaan 0.5.2.1205 ended normally after 1000 iterations ##  ##   Estimator                                      BAYES ##   Optimization method                             MCMC ##   Number of model parameters                        42 ##   Number of equality constraints                     4 ##  ##   Number of observations                            75 ##  ##   Statistic                                 MargLogLik         PPP ##   Value                                             NA       0.025 ##  ## Parameter Estimates: ##  ##  ## Latent Variables: ##                    Estimate  Post.SD pi.lower pi.upper   Std.lv  Std.all ##   ind60 =~                                                               ##     x1                0.702    0.072    0.572    0.854    0.702    0.921 ##     x2                1.532    0.143    1.276    1.845    1.532    0.973 ##     x3                1.270    0.143    1.013    1.581    1.270    0.871 ##   dem60 =~                                                               ##     y1         (a)    1.460    0.172    1.135    1.802    1.788    0.761 ##     y2         (b)    1.731    0.223    1.309    2.179    2.119    0.584 ##     y3         (c)    1.814    0.202    1.435    2.215    2.220    0.701 ##     y4         (d)    1.944    0.196    1.567    2.336    2.379    0.790 ##   dem65 =~                                                               ##     y5         (a)    1.460    0.172    1.135    1.802    2.301    0.812 ##     y6         (b)    1.731    0.223    1.309    2.179    2.727    0.769 ##     y7         (c)    1.814    0.202    1.435    2.215    2.857    0.837 ##     y8         (d)    1.944    0.196    1.567    2.336    3.062    0.869 ##      Rhat    Prior        ##                           ##     1.000    normal(0,10) ##     1.000    normal(0,10) ##     1.000    normal(0,10) ##                           ##     1.004    normal(0,10) ##     1.001    normal(0,10) ##     1.002    normal(0,10) ##     1.000    normal(0,10) ##                           ##     1.004                 ##     1.001                 ##     1.002                 ##     1.000                 ##  ## Regressions: ##                    Estimate  Post.SD pi.lower pi.upper   Std.lv  Std.all ##   dem60 ~                                                                ##     ind60             0.706    0.172    0.379    1.073    0.577    0.577 ##   dem65 ~                                                                ##     ind60             0.242    0.174   -0.103    0.589    0.153    0.153 ##     dem60             0.867    0.131    0.618    1.132    0.674    0.674 ##      Rhat    Prior        ##                           ##     1.001    normal(0,10) ##                           ##     1.000    normal(0,10) ##     0.999    normal(0,10) ##  ## Covariances: ##                    Estimate  Post.SD pi.lower pi.upper   Std.lv  Std.all ##  .y1 ~~                                                                  ##    .y5                0.742    0.450   -0.068    1.734    0.742    0.294 ##  .y2 ~~                                                                  ##    .y4                1.748    0.822    0.260    3.500    1.748    0.321 ##    .y6                2.222    0.810    0.807    4.020    2.222    0.333 ##  .y3 ~~                                                                  ##    .y7                1.304    0.664    0.145    2.736    1.304    0.309 ##  .y4 ~~                                                                  ##    .y8                0.390    0.476   -0.519    1.367    0.390    0.121 ##  .y6 ~~                                                                  ##    .y8                1.088    0.714   -0.149    2.656    1.088    0.276 ##      Rhat    Prior        ##                           ##     1.000       beta(1,1) ##                           ##     1.000       beta(1,1) ##     1.000       beta(1,1) ##                           ##     1.000       beta(1,1) ##                           ##     1.000       beta(1,1) ##                           ##     1.000       beta(1,1) ##  ## Intercepts: ##                    Estimate  Post.SD pi.lower pi.upper   Std.lv  Std.all ##    .x1                5.051    0.090    4.872    5.236    5.051    6.627 ##    .x2                4.784    0.185    4.426    5.152    4.784    3.038 ##    .x3                3.551    0.171    3.217    3.882    3.551    2.434 ##    .y1                5.452    0.279    4.903    6.002    5.452    2.321 ##    .y2                4.249    0.432    3.422    5.129    4.249    1.171 ##    .y3                6.551    0.377    5.817    7.267    6.551    2.068 ##    .y4                4.434    0.354    3.768    5.142    4.434    1.472 ##    .y5                5.121    0.332    4.471    5.785    5.121    1.806 ##    .y6                2.958    0.427    2.135    3.814    2.958    0.835 ##    .y7                6.177    0.414    5.384    7.012    6.177    1.809 ##    .y8                4.028    0.422    3.198    4.859    4.028    1.143 ##     ind60             0.000                               0.000    0.000 ##    .dem60             0.000                               0.000    0.000 ##    .dem65             0.000                               0.000    0.000 ##      Rhat    Prior        ##     1.001    normal(0,32) ##     1.001    normal(0,32) ##     1.000    normal(0,32) ##     1.001    normal(0,32) ##     1.002    normal(0,32) ##     1.002    normal(0,32) ##     1.002    normal(0,32) ##     1.000    normal(0,32) ##     1.001    normal(0,32) ##     1.000    normal(0,32) ##     1.003    normal(0,32) ##                           ##                           ##                           ##  ## Variances: ##                    Estimate  Post.SD pi.lower pi.upper   Std.lv  Std.all ##    .x1                0.088    0.023    0.048    0.135    0.088    0.151 ##    .x2                0.132    0.082    0.002    0.313    0.132    0.053 ##    .x3                0.515    0.101    0.348    0.749    0.515    0.242 ##    .y1                2.319    0.596    1.313    3.645    2.319    0.421 ##    .y2                8.679    1.583    5.956   12.157    8.679    0.659 ##    .y3                5.110    1.080    3.313    7.512    5.110    0.509 ##    .y4                3.412    0.893    1.813    5.379    3.412    0.376 ##    .y5                2.743    0.657    1.658    4.229    2.743    0.341 ##    .y6                5.122    1.090    3.228    7.448    5.122    0.408 ##    .y7                3.492    0.833    2.137    5.387    3.492    0.300 ##    .y8                3.031    0.866    1.439    4.928    3.031    0.244 ##     ind60             1.000                               1.000    1.000 ##    .dem60             1.000                               0.667    0.667 ##    .dem65             1.000                               0.403    0.403 ##      Rhat    Prior        ##     1.000 gamma(1,.5)[sd] ##     0.999 gamma(1,.5)[sd] ##     0.999 gamma(1,.5)[sd] ##     1.002 gamma(1,.5)[sd] ##     1.002 gamma(1,.5)[sd] ##     1.000 gamma(1,.5)[sd] ##     1.000 gamma(1,.5)[sd] ##     1.000 gamma(1,.5)[sd] ##     1.000 gamma(1,.5)[sd] ##     0.999 gamma(1,.5)[sd] ##     1.000 gamma(1,.5)[sd] ##                           ##                           ##                           ##  ## R-Square: ##                    Estimate ##     x1                0.849 ##     x2                0.947 ##     x3                0.758 ##     y1                0.579 ##     y2                0.341 ##     y3                0.491 ##     y4                0.624 ##     y5                0.659 ##     y6                0.592 ##     y7                0.700 ##     y8                0.756 ##     dem60             0.333 ##     dem65             0.597 library(brms) mc_out <- as.matrix(blavInspect(fit, \"mcmc\")) dim(mc_out) ## [1] 3000   42 colnames(mc_out) ##  [1] \"ly_sign[1]\"    \"ly_sign[2]\"    \"ly_sign[3]\"    \"ly_sign[4]\"    ##  [5] \"ly_sign[5]\"    \"ly_sign[6]\"    \"ly_sign[7]\"    \"ly_sign[4]\"    ##  [9] \"ly_sign[5]\"    \"ly_sign[6]\"    \"ly_sign[7]\"    \"bet_sign[1]\"   ## [13] \"bet_sign[2]\"   \"bet_sign[3]\"   \"Theta_cov[1]\"  \"Theta_cov[2]\"  ## [17] \"Theta_cov[3]\"  \"Theta_cov[4]\"  \"Theta_cov[5]\"  \"Theta_cov[6]\"  ## [21] \"Theta_var[1]\"  \"Theta_var[2]\"  \"Theta_var[3]\"  \"Theta_var[4]\"  ## [25] \"Theta_var[5]\"  \"Theta_var[6]\"  \"Theta_var[7]\"  \"Theta_var[8]\"  ## [29] \"Theta_var[9]\"  \"Theta_var[10]\" \"Theta_var[11]\" \"Nu_free[1]\"    ## [33] \"Nu_free[2]\"    \"Nu_free[3]\"    \"Nu_free[4]\"    \"Nu_free[5]\"    ## [37] \"Nu_free[6]\"    \"Nu_free[7]\"    \"Nu_free[8]\"    \"Nu_free[9]\"    ## [41] \"Nu_free[10]\"   \"Nu_free[11]\" pt <- partable(fit)[,c(\"lhs\",\"op\",\"rhs\",\"pxnames\")] pt ##      lhs op   rhs       pxnames ## 1  ind60 =~    x1    ly_sign[1] ## 2  ind60 =~    x2    ly_sign[2] ## 3  ind60 =~    x3    ly_sign[3] ## 4  dem60 =~    y1    ly_sign[4] ## 5  dem60 =~    y2    ly_sign[5] ## 6  dem60 =~    y3    ly_sign[6] ## 7  dem60 =~    y4    ly_sign[7] ## 8  dem65 =~    y5    ly_sign[4] ## 9  dem65 =~    y6    ly_sign[5] ## 10 dem65 =~    y7    ly_sign[6] ## 11 dem65 =~    y8    ly_sign[7] ## 12 dem60  ~ ind60   bet_sign[1] ## 13 dem65  ~ ind60   bet_sign[2] ## 14 dem65  ~ dem60   bet_sign[3] ## 15    y1 ~~    y5  Theta_cov[1] ## 16    y2 ~~    y4  Theta_cov[2] ## 17    y2 ~~    y6  Theta_cov[3] ## 18    y3 ~~    y7  Theta_cov[4] ## 19    y4 ~~    y8  Theta_cov[5] ## 20    y6 ~~    y8  Theta_cov[6] ## 21    x1 ~~    x1  Theta_var[1] ## 22    x2 ~~    x2  Theta_var[2] ## 23    x3 ~~    x3  Theta_var[3] ## 24    y1 ~~    y1  Theta_var[4] ## 25    y2 ~~    y2  Theta_var[5] ## 26    y3 ~~    y3  Theta_var[6] ## 27    y4 ~~    y4  Theta_var[7] ## 28    y5 ~~    y5  Theta_var[8] ## 29    y6 ~~    y6  Theta_var[9] ## 30    y7 ~~    y7 Theta_var[10] ## 31    y8 ~~    y8 Theta_var[11] ## 32 ind60 ~~ ind60          <NA> ## 33 dem60 ~~ dem60          <NA> ## 34 dem65 ~~ dem65          <NA> ## 35    x1 ~1          Nu_free[1] ## 36    x2 ~1          Nu_free[2] ## 37    x3 ~1          Nu_free[3] ## 38    y1 ~1          Nu_free[4] ## 39    y2 ~1          Nu_free[5] ## 40    y3 ~1          Nu_free[6] ## 41    y4 ~1          Nu_free[7] ## 42    y5 ~1          Nu_free[8] ## 43    y6 ~1          Nu_free[9] ## 44    y7 ~1         Nu_free[10] ## 45    y8 ~1         Nu_free[11] ## 46 ind60 ~1                <NA> ## 47 dem60 ~1                <NA> ## 48 dem65 ~1                <NA> ## 49  .p4. ==  .p8.          <NA> ## 50  .p5. ==  .p9.          <NA> ## 51  .p6. == .p10.          <NA> ## 52  .p7. == .p11.          <NA> pt[pt$op==\"~\",] ##      lhs op   rhs     pxnames ## 12 dem60  ~ ind60 bet_sign[1] ## 13 dem65  ~ ind60 bet_sign[2] ## 14 dem65  ~ dem60 bet_sign[3] hypothesis(mc_out, \"bet_sign[2] > 0\", alpha = 0.05) ## New names: ## • `ly_sign[4]` -> `ly_sign[4]...4` ## • `ly_sign[5]` -> `ly_sign[5]...5` ## • `ly_sign[6]` -> `ly_sign[6]...6` ## • `ly_sign[7]` -> `ly_sign[7]...7` ## • `ly_sign[4]` -> `ly_sign[4]...8` ## • `ly_sign[5]` -> `ly_sign[5]...9` ## • `ly_sign[6]` -> `ly_sign[6]...10` ## • `ly_sign[7]` -> `ly_sign[7]...11` ## Hypothesis Tests for class : ##          Hypothesis Estimate Est.Error CI.Lower CI.Upper Evid.Ratio Post.Prob ## 1 (bet_sign[2]) > 0     0.24      0.17    -0.05     0.53       11.4      0.92 ##   Star ## 1      ## --- ## 'CI': 90%-CI for one-sided and 95%-CI for two-sided hypotheses. ## '*': For one-sided hypotheses, the posterior probability exceeds 95%; ## for two-sided hypotheses, the value tested against lies outside the 95%-CI. ## Posterior probabilities of point hypotheses assume equal prior probabilities. hypothesis(mc_out, \"bet_sign[1] > 0\", alpha = 0.05) ## New names: ## • `ly_sign[4]` -> `ly_sign[4]...4` ## • `ly_sign[5]` -> `ly_sign[5]...5` ## • `ly_sign[6]` -> `ly_sign[6]...6` ## • `ly_sign[7]` -> `ly_sign[7]...7` ## • `ly_sign[4]` -> `ly_sign[4]...8` ## • `ly_sign[5]` -> `ly_sign[5]...9` ## • `ly_sign[6]` -> `ly_sign[6]...10` ## • `ly_sign[7]` -> `ly_sign[7]...11` ## Hypothesis Tests for class : ##          Hypothesis Estimate Est.Error CI.Lower CI.Upper Evid.Ratio Post.Prob ## 1 (bet_sign[1]) > 0     0.71      0.17     0.43     1.01        Inf         1 ##   Star ## 1    * ## --- ## 'CI': 90%-CI for one-sided and 95%-CI for two-sided hypotheses. ## '*': For one-sided hypotheses, the posterior probability exceeds 95%; ## for two-sided hypotheses, the value tested against lies outside the 95%-CI. ## Posterior probabilities of point hypotheses assume equal prior probabilities. hypothesis(mc_out, \"bet_sign[1] - bet_sign[2] > 0\", alpha = 0.05) ## New names: ## • `ly_sign[4]` -> `ly_sign[4]...4` ## • `ly_sign[5]` -> `ly_sign[5]...5` ## • `ly_sign[6]` -> `ly_sign[6]...6` ## • `ly_sign[7]` -> `ly_sign[7]...7` ## • `ly_sign[4]` -> `ly_sign[4]...8` ## • `ly_sign[5]` -> `ly_sign[5]...9` ## • `ly_sign[6]` -> `ly_sign[6]...10` ## • `ly_sign[7]` -> `ly_sign[7]...11` ## Hypothesis Tests for class : ##                 Hypothesis Estimate Est.Error CI.Lower CI.Upper Evid.Ratio ## 1 (bet_sign[1]-bet_... > 0     0.46      0.26     0.06      0.9      31.61 ##   Post.Prob Star ## 1      0.97    * ## --- ## 'CI': 90%-CI for one-sided and 95%-CI for two-sided hypotheses. ## '*': For one-sided hypotheses, the posterior probability exceeds 95%; ## for two-sided hypotheses, the value tested against lies outside the 95%-CI. ## Posterior probabilities of point hypotheses assume equal prior probabilities."},{"path":"http://ecmerkle.github.io/blavaan/articles/probability_direction.html","id":"region-of-practical-equivalence-rope","dir":"Articles","previous_headings":"","what":"Region of Practical Equivalence (ROPE)","title":"Probability of Direction","text":"Note far tested hypothesis 0, equivalent frequentist null hypothesis tests. can test . Bayesian inference based statistical significance, effects tested “zero”. Indeed, Bayesian framework offers probabilistic view parameters, allowing assessment uncertainty related . Thus, rather concluding effect present simply differs zero, conclude probability outside specific range can considered “practically effect” (.e., negligible magnitude) sufficient. range called region practical equivalence (ROPE). Indeed, statistically, probability posterior distribution different 0 make much sense (probability different single point infinite). Therefore, idea underlining ROPE let user define area around null value enclosing values equivalent null value practical purposes (Kruschke Liddell 2018) examples, change value tested, common recommendations use |0.1| minimally relevant value standardized regressions, case find 0.79 proportion posterior 0.1","code":"hypothesis(mc_out, \"bet_sign[2] > .1\", alpha = 0.05) ## New names: ## • `ly_sign[4]` -> `ly_sign[4]...4` ## • `ly_sign[5]` -> `ly_sign[5]...5` ## • `ly_sign[6]` -> `ly_sign[6]...6` ## • `ly_sign[7]` -> `ly_sign[7]...7` ## • `ly_sign[4]` -> `ly_sign[4]...8` ## • `ly_sign[5]` -> `ly_sign[5]...9` ## • `ly_sign[6]` -> `ly_sign[6]...10` ## • `ly_sign[7]` -> `ly_sign[7]...11` ## Hypothesis Tests for class : ##               Hypothesis Estimate Est.Error CI.Lower CI.Upper Evid.Ratio ## 1 (bet_sign[2])-(.1) > 0     0.14      0.17    -0.15     0.43       4.14 ##   Post.Prob Star ## 1      0.81      ## --- ## 'CI': 90%-CI for one-sided and 95%-CI for two-sided hypotheses. ## '*': For one-sided hypotheses, the posterior probability exceeds 95%; ## for two-sided hypotheses, the value tested against lies outside the 95%-CI. ## Posterior probabilities of point hypotheses assume equal prior probabilities."},{"path":"http://ecmerkle.github.io/blavaan/articles/probability_direction.html","id":"vs--95-ci","dir":"Articles","previous_headings":"","what":"89% vs. 95% CI","title":"Probability of Direction","text":"commonly frequentist tradition see use 95% Credible interval. Using 89% another popular choice, used default long time. start? Naturally, came choosing CI level report default, people started using 95%, arbitrary convention used frequentist world. However, authors suggested 95% might appropriate Bayesian posterior distributions, potentially lacking stability enough posterior samples drawn (McElreath 2020). proposition use 90% instead 95%. However, recently, McElreath (2020) suggested use arbitrary thresholds first place, use 89%? Moreover, 89 highest prime number exceed already unstable 95% threshold. anything? Nothing, reminds us total arbitrariness conventions (McElreath 2020). can use argument alpha argument hypothesis function, interpretation values Post.Prob","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/probability_direction.html","id":"caveats","dir":"Articles","previous_headings":"","what":"Caveats","title":"Probability of Direction","text":"Although allows testing hypotheses similar manner frequentist null-hypothesis testing framework, strongly argue using arbitrary cutoffs (e.g., p < .05) determine ‘existence’ effect. ROPE sensitive scale, aware value interest representative respective scale. , standardize parameters useful commonly used scale","code":""},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/articles/start.html","id":"installation","dir":"Articles","previous_headings":"","what":"Installation","title":"Getting Started with blavaan","text":"blavaan can installed CRAN usual way: situations, may wish install blavaan GitHub. GitHub version sometimes contains bug fixes yet CRAN, though can also less stable. install GitHub, use following command. command requires system can compile Stan models, guaranteed usually install blavaan CRAN. trouble, may help look RStan Getting Started page.","code":"install.packages(\"blavaan\") remotes::install_github(\"ecmerkle/blavaan\", INSTALL_opts = \"--no-multiarch\")"},{"path":"http://ecmerkle.github.io/blavaan/articles/start.html","id":"commands-and-syntax","dir":"Articles","previous_headings":"","what":"Commands and Syntax","title":"Getting Started with blavaan","text":"blavaan package depends lavaan package model specification computations. means , already know lavaan, already able many things blavaan. particular, many blavaan commands add letter “b” start lavaan command. example, sem() becomes bsem(), lavInspect() becomes blavInspect(). also sometimes possible use lavaan command blavaan object, though results may always expect. details mind, look lavaan tutorial many examples models. can translate many examples blavaan adding “b” start commands. look pages , learn additional blavaan arguments specific Bayesian methods.","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/summaries.html","id":"convergence","dir":"Articles","previous_headings":"","what":"Convergence","title":"Model Summaries","text":"Following model estimation, immediately wish look “goodness” posterior samples, including convergence stationary distribution autocorrelation. Popular convergence metrics available via blavInspect() function: R-hat values near 1.00 indicate convergence, large effective sample sizes (hundreds ) preferred. details metrics, see, e.g., Posterior Analysis section Stan Reference Manual. model definitely converged (judged Rhat), blavaan issue multiple warnings. Lack convergence sometimes caused bad initial values chain strays extreme region posterior space. cases, can helpful re-estimate model second time. also helpful specify mildly-informative priors loading parameters, chains wander extreme loading values. example, expect variables positively correlated loadings fixed 1 identification, Normal(1,.5) often mildly-informative prior. Otherwise, lack convergence may imply prior distributions severely conflict data, ill-defined model. sometimes helpful try fit model lavaan, observe whether errors occur .","code":"blavInspect(fit, 'rhat') blavInspect(fit, 'neff')"},{"path":"http://ecmerkle.github.io/blavaan/articles/summaries.html","id":"model-fit-comparison","dir":"Articles","previous_headings":"","what":"Model Fit & Comparison","title":"Model Summaries","text":"Next, may wish examine model fit metrics. many metrics available summary() output, available fitMeasures() function: judging absolute fit, blavaan supplies posterior predictive p-value based likelihood ratio statistic. Good-fitting models values near 0.5 metric. examining models’ relative fits, blavaan supplies DIC, WAIC, LOOIC. latter two metrics computed help loo package (Vehtari et al. 2020). Comparison multiple models criteria facilitated via blavCompare(), provides standard errors difference two criteria. notable functions include blavFitIndices() alternative measures absolute fit ppmc() general posterior predictive checks.","code":"summary(fit) fitMeasures(fit)"},{"path":"http://ecmerkle.github.io/blavaan/articles/summaries.html","id":"latent-variables-standardization","dir":"Articles","previous_headings":"","what":"Latent Variables & Standardization","title":"Model Summaries","text":"often-discussed advantage Bayesian models abilities describe uncertainty “random” parameters, including random effects latent variables. access functionality blavaan, users must set save.lvs = TRUE model estimation, done top page. model estimation, uses can access information via blavInspect() blavPredict(). Relevant arguments blavInspect() include lvmeans lvs. former returns posterior means latent variables, similar predictions supplied frequentist models. latter returns posterior samples latent variables, users summarize uncertainties functions latent variables. posterior samples returned list length n.chains, list entry row per posterior sample (number columns total number latent variables model): related, different, information can obtained blavPredict(). function also return posterior samples latent variables, matrix instead list: blavPredict() function also return predictions observed variables conditioned sampled latent variables. type = \"yhat\" argument returns expected values observed variables conditioned latent variable samples; type = \"ypred\" argument returns posterior predictions observed variables including residual noise (essentially yhat + error); type = \"ymis\" argument returns posterior predictions missing variables conditioned observed. expected values predictions returned list format; matrix, see last line code . Finally, fully related latent variables: standardizedPosterior() function return standardized posterior draws. calls lavaan function standardizedSolution() background function’s flexibility.","code":"postmns <- blavInspect(fit, what = \"lvmeans\") postsamps <- blavInspect(fit, what = \"lvs\") postsamps <- blavPredict(fit, type = \"lv\") evpreds <- blavPredict(fit, type = \"yhat\") postpreds <- blavPredict(fit, type = \"ypred\") mispreds <- blavPredict(fit, type = \"ymis\")  ## convert to matrix from list: evpreds <- do.call(\"rbind\", evpreds)"},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Edgar Merkle. Author, maintainer. Yves Rosseel. Author. Ben Goodrich. Author. Mauricio Garnier-Villarreal. Contributor.            R/blav_compare.RR/ctr_bayes_fit.Rvignettes Terrence D. Jorgensen. Contributor.            R/ctr_bayes_fit.RR/ctr_ppmc.RR/blav_predict.R Huub Hoofs. Contributor.            R/ctr_bayes_fit.R Rens van de Schoot. Contributor.            R/ctr_bayes_fit.R Andrew Johnson. Contributor.            Makevars Matthew Emery. Contributor.            loo moment_match","code":""},{"path":"http://ecmerkle.github.io/blavaan/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Merkle EC, Fitzsimmons E, Uanhoro J, Goodrich B (2021). “Efficient Bayesian Structural Equation Modeling Stan.” Journal Statistical Software, 100(6), 1–22. doi:10.18637/jss.v100.i06. Merkle EC, Rosseel Y (2018). “blavaan: Bayesian Structural Equation Models via Parameter Expansion.” Journal Statistical Software, 85(4), 1–30. doi:10.18637/jss.v085.i04.","code":"@Article{,   title = {Efficient {Bayesian} Structural Equation Modeling in {Stan}},   author = {Edgar C. Merkle and Ellen Fitzsimmons and James Uanhoro and Ben Goodrich},   journal = {Journal of Statistical Software},   year = {2021},   volume = {100},   number = {6},   pages = {1--22},   doi = {10.18637/jss.v100.i06}, } @Article{,   title = {{blavaan: Bayesian} Structural Equation Models via Parameter Expansion},   author = {Edgar C. Merkle and Yves Rosseel},   journal = {Journal of Statistical Software},   year = {2018},   volume = {85},   number = {4},   pages = {1--30},   doi = {10.18637/jss.v085.i04}, }"},{"path":"http://ecmerkle.github.io/blavaan/index.html","id":"blavaan","dir":"","previous_headings":"","what":"Bayesian Latent Variable Analysis","title":"Bayesian Latent Variable Analysis","text":"blavaan free, open source R package Bayesian latent variable analysis. relies JAGS Stan estimate models via MCMC. blavaan functions syntax similar lavaan. example, consider Political Democracy example Bollen (1989): development version blavaan (containing updates yet CRAN) can installed via command . Compilation required; may problem users currently rely binary version blavaan CRAN. information, see: Merkle, E. C., Fitzsimmons, E., Uanhoro, J., & Goodrich, B. (2021). Efficient Bayesian structural equation modeling Stan. Journal Statistical Software, 100(6), 1–22. Merkle, E. C., & Rosseel, Y. (2018). blavaan: Bayesian structural equation models via parameter expansion. Journal Statistical Software, 85(4), 1–30. blavaan supported Institute Education Sciences, U.S. Department Education, Grant R305D210044, well NSF grants SES-1061334 1460719.","code":"library(blavaan)  model <- '    # latent variable definitions      ind60 =~ x1 + x2 + x3      dem60 =~ y1 + y2 + y3 + y4      dem65 =~ y5 + y6 + y7 + y8    # regressions      dem60 ~ ind60      dem65 ~ ind60 + dem60    # residual covariances      y1 ~~ y5      y2 ~~ y4 + y6      y3 ~~ y7      y4 ~~ y8      y6 ~~ y8 ' fit <- bsem(model, data = PoliticalDemocracy) summary(fit) remotes::install_github(\"ecmerkle/blavaan\", INSTALL_opts = \"--no-multiarch\")"},{"path":"http://ecmerkle.github.io/blavaan/reference/bcfa.html","id":null,"dir":"Reference","previous_headings":"","what":"Fit Confirmatory Factor Analysis Models — bcfa","title":"Fit Confirmatory Factor Analysis Models — bcfa","text":"Fit Confirmatory Factor Analysis (CFA) model.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/bcfa.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fit Confirmatory Factor Analysis Models — bcfa","text":"","code":"bcfa(..., cp = \"srs\",      dp = NULL, n.chains = 3, burnin, sample,      adapt, mcmcfile = FALSE, mcmcextra = list(), inits = \"simple\",      convergence = \"manual\", target = \"stan\", save.lvs = FALSE,      wiggle = NULL, wiggle.sd = 0.1, prisamp = FALSE, jags.ic = FALSE,      seed = NULL, bcontrol = list())"},{"path":"http://ecmerkle.github.io/blavaan/reference/bcfa.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fit Confirmatory Factor Analysis Models — bcfa","text":"... Default lavaan arguments.  See lavaan. cp Handling prior distributions covariance parameters:   possible values \"srs\" (default)     \"fa\". Option \"fa\" available target=\"jags\". dp Default prior distributions different types     parameters, typically result call dpriors().     See dpriors() help file information. n.chains Number desired MCMC chains. burnin Number burnin/warmup iterations (including adaptive   iterations, target=\"jags\"). Defaults 4000 target=\"jags\"   500 Stan targets. sample total number samples take burnin. Defaults 10000 target=\"jags\" 1000 Stan targets. adapt target=\"jags\", number adaptive iterations use start   sampling. Defaults 1000. mcmcfile TRUE, JAGS/Stan model written file   (lavExport directory). Can also supply character   string, serves name directory files written. mcmcextra list potential names syntax (unavailable   target=\"stan\"),   monitor, data, llnsamp. syntax object text string containing extra   code insert JAGS/Stan model syntax. data object   list extra data send JAGS/Stan model.    moment_match_k_threshold specified within data looic    model calculated using moment matching. monitor object   character vector containing extra JAGS/Stan parameters   monitor. llnsamp object relevant models ordinal   variables, specifies number samples drawn approximate   model log-likelihood (larger numbers imply higher accuracy   longer time). log-likelihood specifically used compute   information criteria. inits character string, options currently     \"simple\" (default), \"Mplus\", \"prior\", \"jags\".  first two     cases, parameter values set though estimated via     ML (see lavaan).  starting parameter value     chain perturbed original values     addition random uniform noise.  \"prior\" used, starting     parameter values obtained based prior distributions     (also trying ensure starting values crash     model estimation).  \"jags\", starting values     specified JAGS choose values (probably     crash Stan targets). can also supply     list starting values chain, list format can     obtained , e.g., blavInspect(fit, \"inits\"). Finally,     can specify starting values similar way lavaan,     using lavaan start argument (see lavaan     documentation options ). case, also set     inits=\"simple\", aware starting values     used chain. convergence Useful target=\"jags\". \"auto\", parameters   sampled convergence achieved (via autorun.jags()).   case, arguments burnin sample passed   autorun.jags() startburnin startsample,   respectively. Otherwise, parameters   sampled specified user (run.jags   defaults). target Desired MCMC sampling, \"stan\" (pre-compiled   marginal approach)   default. Also available \"vb\", calls rstan function   vb(). options include \"jags\", \"stancond\",   \"stanclassic\", sample latent variables provide   greater functionality (syntax written \"fly\").   slower less efficient. save.lvs sampled latent variables (factor scores)   saved? Logical; defaults FALSE wiggle Labels equality-constrained parameters   \"approximately\" equal. Can also \"intercepts\", \"loadings\",   \"regressions\", \"means\". wiggle.sd prior sd (normal distribution) used approximate equality   constraints. Can one value, (target=\"stan\") numeric vector   values length wiggle. prisamp samples drawn prior, instead   posterior (target=\"stan\" )? Logical; defaults FALSE jags.ic DIC computed JAGS way, addition BUGS way? Logical; defaults FALSE seed vector length n.chains (target   \"jags\") integer (target \"stan\") containing random   seeds MCMC run. NULL, seeds chosen randomly. bcontrol list containing additional parameters passed     run.jags (autorun.jags) stan.  See manpage functions     overview additional parameters can set.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/bcfa.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Fit Confirmatory Factor Analysis Models — bcfa","text":"bcfa function wrapper general     blavaan function, using following default     lavaan arguments:     int.ov.free = TRUE, int.lv.free = FALSE,     auto.fix.first = TRUE (unless std.lv = TRUE),     auto.fix.single = TRUE, auto.var = TRUE,     auto.cov.lv.x = TRUE,     auto.th = TRUE, auto.delta = TRUE,     auto.cov.y = TRUE.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/bcfa.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Fit Confirmatory Factor Analysis Models — bcfa","text":"object class lavaan, several methods   available, including summary method.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/bcfa.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Fit Confirmatory Factor Analysis Models — bcfa","text":"Edgar C. Merkle, Ellen Fitzsimmons, James Uanhoro, & Ben Goodrich (2021). Efficient Bayesian Structural Equation Modeling Stan. Journal Statistical Software, 100(6), 1-22. URL http://www.jstatsoft.org/v100/i06/. Edgar C. Merkle & Yves Rosseel (2018). blavaan: Bayesian Structural Equation Models via Parameter Expansion. Journal Statistical Software, 85(4), 1-30. URL http://www.jstatsoft.org/v85/i04/. Yves Rosseel (2012). lavaan: R Package Structural Equation Modeling. Journal Statistical Software, 48(2), 1-36. URL http://www.jstatsoft.org/v48/i02/.","code":""},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/reference/bcfa.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Fit Confirmatory Factor Analysis Models — bcfa","text":"","code":"if (FALSE) { # The Holzinger and Swineford (1939) example HS.model <- ' visual  =~ x1 + x2 + x3               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9 '  fit <- bcfa(HS.model, data=HolzingerSwineford1939) summary(fit) }"},{"path":"http://ecmerkle.github.io/blavaan/reference/bgrowth.html","id":null,"dir":"Reference","previous_headings":"","what":"Fit Growth Curve Models — bgrowth","title":"Fit Growth Curve Models — bgrowth","text":"Fit Growth Curve model.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/bgrowth.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fit Growth Curve Models — bgrowth","text":"","code":"bgrowth(..., cp = \"srs\", dp = NULL, n.chains = 3, burnin, sample, adapt, mcmcfile = FALSE, mcmcextra = list(),  inits = \"simple\", convergence = \"manual\", target = \"stan\", save.lvs = FALSE, wiggle = NULL, wiggle.sd = 0.1, prisamp = FALSE, jags.ic = FALSE, seed = NULL, bcontrol = list())"},{"path":"http://ecmerkle.github.io/blavaan/reference/bgrowth.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fit Growth Curve Models — bgrowth","text":"... Default lavaan arguments.  See lavaan. cp Handling prior distributions covariance parameters:   possible values \"srs\" (default) \"fa\". Option \"fa\" available target=\"jags\". dp Default prior distributions different types     parameters, typically result call dpriors().     See dpriors() help file information. n.chains Number desired MCMC chains. burnin Number burnin/warmup iterations (including adaptive   iterations, target=\"jags\"). Defaults 4000 target=\"jags\"   500 Stan targets. sample total number samples take burnin. Defaults 10000 target=\"jags\" 1000 Stan targets. adapt target=\"jags\", number adaptive iterations use start   sampling. Defaults 1000. mcmcfile TRUE, JAGS/Stan model written file   (lavExport directory). Can also supply character   string, serves name directory files written. mcmcextra list potential names syntax (unavailable   target=\"stan\"),   monitor, data, llnsamp. syntax object text string containing extra   code insert JAGS/Stan model syntax. data object   list extra data send JAGS/Stan model.    moment_match_k_threshold specified within data looic    model calculated using moment matching. monitor object   character vector containing extra JAGS/Stan parameters   monitor. llnsamp object relevant models ordinal   variables, specifies number samples drawn approximate   model log-likelihood (larger numbers imply higher accuracy   longer time). log-likelihood specifically used compute   information criteria. inits character string, options currently     \"simple\" (default), \"Mplus\", \"prior\", \"jags\".  first two     cases, parameter values set though estimated via     ML (see lavaan).  starting parameter value     chain perturbed original values     addition random uniform noise.  \"prior\" used, starting     parameter values obtained based prior distributions     (also trying ensure starting values crash     model estimation).  \"jags\", starting values     specified JAGS choose values (probably     crash Stan targets). can also supply     list starting values chain, list format can     obtained , e.g., blavInspect(fit, \"inits\"). Finally,     can specify starting values similar way lavaan,     using lavaan start argument (see lavaan     documentation options ). case, also set     inits=\"simple\", aware starting values     used chain. convergence Useful target=\"jags\". \"auto\", parameters   sampled convergence achieved (via autorun.jags()).   case, arguments burnin sample passed   autorun.jags() startburnin startsample,   respectively. Otherwise, parameters   sampled specified user (run.jags   defaults). target Desired MCMC sampling, \"stan\" (pre-compiled   marginal approach)   default. Also available \"vb\", calls rstan function   vb(). options include \"jags\", \"stancond\",   \"stanclassic\", sample latent variables provide   greater functionality (syntax written \"fly\").   slower less efficient. save.lvs sampled latent variables (factor scores)   saved? Logical; defaults FALSE wiggle Labels equality-constrained parameters   \"approximately\" equal. Can also \"intercepts\", \"loadings\",   \"regressions\", \"means\". wiggle.sd prior sd (normal distribution) used approximate equality   constraints. Can one value, (target=\"stan\") numeric vector   values length wiggle. prisamp samples drawn prior, instead   posterior (target=\"stan\" )? Logical; defaults FALSE jags.ic DIC computed JAGS way, addition BUGS way? Logical; defaults FALSE seed vector length n.chains (target   \"jags\") integer (target \"stan\") containing random   seeds MCMC run. NULL, seeds chosen randomly. bcontrol list containing additional parameters passed     run.jags (autorun.jags) stan.  See manpage functions     overview additional parameters can set.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/bgrowth.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Fit Growth Curve Models — bgrowth","text":"bgrowth function wrapper general       blavaan function, using following default       lavaan arguments:     meanstructure = TRUE,      int.ov.free = FALSE, int.lv.free = TRUE,     auto.fix.first = TRUE (unless std.lv = TRUE),     auto.fix.single = TRUE, auto.var = TRUE,     auto.cov.lv.x = TRUE,      auto.th = TRUE, auto.delta = TRUE,     auto.cov.y = TRUE.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/bgrowth.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Fit Growth Curve Models — bgrowth","text":"object class blavaan, several methods   available, including summary method.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/bgrowth.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Fit Growth Curve Models — bgrowth","text":"Edgar C. Merkle, Ellen Fitzsimmons, James Uanhoro, & Ben Goodrich (2021). Efficient Bayesian Structural Equation Modeling Stan. Journal Statistical Software, 100(6), 1-22. URL http://www.jstatsoft.org/v100/i06/. Edgar C. Merkle & Yves Rosseel (2018). blavaan: Bayesian Structural Equation Models via Parameter Expansion. Journal Statistical Software, 85(4), 1-30. URL http://www.jstatsoft.org/v85/i04/. Yves Rosseel (2012). lavaan: R Package Structural Equation Modeling. Journal Statistical Software, 48(2), 1-36. URL http://www.jstatsoft.org/v48/i02/.","code":""},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/reference/bgrowth.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Fit Growth Curve Models — bgrowth","text":"","code":"if (FALSE) { ## linear growth model with a time-varying covariate model.syntax <- '   # intercept and slope with fixed coefficients     i =~ 1*t1 + 1*t2 + 1*t3 + 1*t4     s =~ 0*t1 + 1*t2 + 2*t3 + 3*t4    # regressions     i ~ x1 + x2     s ~ x1 + x2    # time-varying covariates     t1 ~ c1     t2 ~ c2     t3 ~ c3     t4 ~ c4 '  fit <- bgrowth(model.syntax, data=Demo.growth) summary(fit) }"},{"path":"http://ecmerkle.github.io/blavaan/reference/blavCompare.html","id":null,"dir":"Reference","previous_headings":"","what":"Bayesian model comparisons — blavCompare","title":"Bayesian model comparisons — blavCompare","text":"Bayesian model comparisons, including WAIC, LOO, Bayes factor approximation.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavCompare.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Bayesian model comparisons — blavCompare","text":"","code":"blavCompare(object1, object2, ...)"},{"path":"http://ecmerkle.github.io/blavaan/reference/blavCompare.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Bayesian model comparisons — blavCompare","text":"object1 object class blavaan. object2 second object class blavaan. ... arguments (unused now).","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavCompare.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Bayesian model comparisons — blavCompare","text":"function approximates log-Bayes factor two candidate models using Laplace approximation model's marginal log-likelihood.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavCompare.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Bayesian model comparisons — blavCompare","text":"log-Bayes factor approximation, along model's approximate marginal log-likelihood.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavCompare.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Bayesian model comparisons — blavCompare","text":"Raftery, . E. (1993). Bayesian model selection structural equation models. K. . Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 163-180). Beverly Hills, CA: Sage.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavCompare.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Bayesian model comparisons — blavCompare","text":"","code":"if (FALSE) { hsm1 <- ' visual  =~ x1 + x2 + x3 + x4           textual =~ x4 + x5 + x6           speed   =~ x7 + x8 + x9 '  fit1 <- bcfa(hsm1, data=HolzingerSwineford1939)  hsm2 <- ' visual  =~ x1 + x2 + x3           textual =~ x4 + x5 + x6 + x7           speed   =~ x7 + x8 + x9 '  fit2 <- bcfa(hsm2, data=HolzingerSwineford1939)  blavCompare(fit1, fit2) }"},{"path":"http://ecmerkle.github.io/blavaan/reference/blavFitIndices.html","id":null,"dir":"Reference","previous_headings":"","what":"SEM Fit Indices for Bayesian SEM — blavFitIndices","title":"SEM Fit Indices for Bayesian SEM — blavFitIndices","text":"function provides posterior distribution \\(\\chi^2\\)-based fit indices assess global fit latent variable model.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavFitIndices.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"SEM Fit Indices for Bayesian SEM — blavFitIndices","text":"","code":"blavFitIndices(object, thin = 1L, pD = c(\"loo\",\"waic\",\"dic\"),                rescale = c(\"devM\",\"ppmc\",\"mcmc\"),                fit.measures = \"all\", baseline.model = NULL)  ## S4 method for signature 'blavFitIndices' # S4 method for blavFitIndices summary(object, ...)  # S3 method for bfi summary(object, central.tendency = c(\"mean\",\"median\",\"mode\"),         hpd = TRUE, prob = .90)"},{"path":"http://ecmerkle.github.io/blavaan/reference/blavFitIndices.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"SEM Fit Indices for Bayesian SEM — blavFitIndices","text":"object object class blavaan. thin Optional integer indicating much thin chain.     Default 1L, indicating thin chains. pD character indicating information criterion     returned fitMeasures(object) use estimated number     parameters. default leave-one-information criterion     (LOO-IC), highly recommended Vehtari et al. (2017). rescale character indicating method used calculate     fit indices. rescale = \"devM\" (default), Bayesian analog     \\(\\chi^2\\) statistic (deviance evaluated posterior mean     model parameters) approximated rescaling deviance     iteration subtracting estimated number parameters.     rescale = \"PPMC\", deviance iteration rescaled     subtracting deviance data simulated posterior predictive     distribution (posterior predictive model checking; see Hoofs et al.,     2017). rescale = \"MCMC\", fit measures simply calculated     using fitMeasures iteration Markov     chain(s), based model-implied moments iteration (advised     model includes informative priors, case model's     estimated pD deviate number parameters used     calculate df fitMeasures). fit.measures \"\", fit measures available     returned. single fit measures specified name,     computed returned. rescale = \"devM\"     \"PPMC\", currently available indices \"BRMSEA\",     \"BGammaHat\", \"adjBGammaHat\", \"BMc\", \"BCFI\",     \"BTLI\", \"BNFI\". rescale = \"MCMC\", user may     request indices returned fitMeasures     objects class lavaan. baseline.model NULL, object class     blavaan, representing user-specified baseline model.     baseline.model provided, incremental fit indices (BCFI,     BTLI, BNFI) can requested fit.measures. Ignored     rescale = \"MCMC\". ... Additional arguments summary method: central.tendency Takes values \"mean\", \"median\", \"mode\", indicating statistics     used characterize location posterior distribution.     default, 3 statistics returned. posterior mean labeled     EAP expected posteriori estimate, mode     labeled MAP modal posteriori     estimate. hpd logical indicating whether calculate highest     posterior density (HPD) credible interval fit     index (defaults TRUE). prob \"confidence\" level   credible interval(s) (defaults 0.9).","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavFitIndices.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"SEM Fit Indices for Bayesian SEM — blavFitIndices","text":"S4 object class blavFitIndices consisting 2 slots: @details list containing choices made user     (defaults; e.g., values pD rescale set),     well posterior distribution \\(\\chi^2\\) (deviance)     statistic (rescaled, rescale = \"devM\" \"PPMC\"). @indices list containing posterior distribution     requested fit.measure. summary() method returns data.frame containing one row   requested fit.measure, columns containing specified   measure(s) central.tendency, posterior SD,   (requested) HPD credible-interval limits.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavFitIndices.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"SEM Fit Indices for Bayesian SEM — blavFitIndices","text":"Mauricio Garnier-Villareal (Vrije Universiteit Amsterdam; mgv@pm.) Terrence D. Jorgensen (University Amsterdam; TJorgensen314@gmail.com)","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavFitIndices.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"SEM Fit Indices for Bayesian SEM — blavFitIndices","text":"rescale = \"PPMC\" based : Hoofs, H., van de Schoot, R., Jansen, N. W., & Kant, . (2017).   Evaluating model fit Bayesian confirmatory factor analysis large   samples: Simulation study introducing BRMSEA.   Educational Psychological Measurement. doi:10.1177/0013164417709314 rescale = \"devM\" based : Garnier-Villarreal, M., & Jorgensen, T. D. (2020).  Adapting Fit Indices Bayesian Structural Equation Modeling: Comparison Maximum Likelihood.  Psychological Methods, 25(1), 46--70. https://doi.org/dx.doi.org/10.1037/met0000224   (See also https://osf.io/afkcw/) references: Vehtari, ., Gelman, ., & Gabry, J. (2017). Practical Bayesian model   evaluation using leave-one-cross-validation WAIC.   Statistics Computing, 27(5), 1413--1432.   doi:10.1007/s11222-016-9696-4","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavFitIndices.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"SEM Fit Indices for Bayesian SEM — blavFitIndices","text":"","code":"if (FALSE) { HS.model <- ' visual  =~ x1 + x2 + x3               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9 ' ## fit target model fit1 <- bcfa(HS.model, data = HolzingerSwineford1939,               n.chains = 2, burnin = 1000, sample = 1000)  ## fit null model to calculate CFI, TLI, and NFI null.model <- c(paste0(\"x\", 1:9, \" ~~ x\", 1:9), paste0(\"x\", 1:9, \" ~ 1\")) fit0 <- bcfa(null.model, data = HolzingerSwineford1939,               n.chains = 2, burnin = 1000, sample = 1000)  ## calculate posterior distributions of fit indices  ## The default method mimics fit indices derived from ML estimation ML <- blavFitIndices(fit1, baseline.model = fit0) ML summary(ML)  ## other options:  ## - use Hoofs et al.'s (2017) PPMC-based method ## - use the estimated number of parameters from WAIC instead of LOO-IC PPMC <- blavFitIndices(fit1, baseline.model = fit0,                        pD = \"waic\", rescale = \"PPMC\") ## issues a warning about using rescale=\"PPMC\" with N < 1000 (see Hoofs et al.)  ## - specify only the desired measures of central tendency ## - specify a different \"confidence\" level for the credible intervals summary(PPMC, central.tendency = c(\"mean\",\"mode\"), prob = .95)    ## Access the posterior distributions for further investigation head(distML <- data.frame(ML@indices))  ## For example, diagnostic plots using the bayesplot package:  ## distinguish chains nChains <- blavInspect(fit1, \"n.chains\") distML$Chain <- rep(1:nChains, each = nrow(distML) / nChains)  library(bayesplot) mcmc_pairs(distML, pars = c(\"BRMSEA\",\"BMc\",\"BGammaHat\",\"BCFI\",\"BTLI\"),            diag_fun = \"hist\") ## Indices are highly correlated across iterations in both chains  ## Compare to PPMC method distPPMC <- data.frame(PPMC@indices) distPPMC$Chain <- rep(1:nChains, each = nrow(distPPMC) / nChains) mcmc_pairs(distPPMC, pars = c(\"BRMSEA\",\"BMc\",\"BGammaHat\",\"BCFI\",\"BTLI\"),            diag_fun = \"dens\") ## nonlinear relation between BRMSEA, related to the floor effect of BRMSEA ## that Hoofs et al. found for larger (12-indicator) models  }"},{"path":"http://ecmerkle.github.io/blavaan/reference/blavInspect.html","id":null,"dir":"Reference","previous_headings":"","what":"Inspect or Extract Information from a Fitted blavaan Object — blavInspect","title":"Inspect or Extract Information from a Fitted blavaan Object — blavInspect","text":"blavInspect() blavTech() functions can used inspect/extract information stored inside (can computed ) fitted blavaan object. similar lavaan's lavInspect() function.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavInspect.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Inspect or Extract Information from a Fitted blavaan Object — blavInspect","text":"","code":"blavInspect(blavobject, what, ...)  blavTech(blavobject, what, ...)"},{"path":"http://ecmerkle.github.io/blavaan/reference/blavInspect.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Inspect or Extract Information from a Fitted blavaan Object — blavInspect","text":"blavobject object class blavaan. Character. needs inspected/extracted? See Details Bayes-specific options, see lavaan's lavInspect() additional options. Note: argument case-sensitive (everything converted lower case.) ... lavaan arguments supplied lavInspect(); see lavaan.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavInspect.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Inspect or Extract Information from a Fitted blavaan Object — blavInspect","text":"list Bayesian-specific values argument; additional values can found lavInspect() documentation. \"start\": list starting values chain, unless inits=\"jags\" used model estimation. Aliases: \"starting.values\", \"inits\". \"rhat\": parameter's potential scale reduction     factor convergence assessment. Can also use \"psrf\" instead \"rhat\" \"ac.10\": parameter's estimated lag-10 autocorrelation. \"neff\": parameters effective sample size, taking account autocorrelation. \"mcmc\": object class mcmc containing individual parameter draws MCMC run. Aliases: \"draws\", \"samples\". \"mcobj\": underlying run.jags stan object resulted MCMC run. \"n.chains\": number chains sampled. \"cp\": approach used estimating covariance     parameters (\"srs\" \"fa\"); relevant     using JAGS. \"dp\": Default prior distributions used type model parameter. \"postmode\": Estimated posterior mode free parameter. \"postmean\": Estimated posterior mean free parameter. \"postmedian\": Estimated posterior median free parameter. \"lvs\": object class mcmc containing latent variable (factor score) draws. two-level models, use level = 1 level = 2 specify factor scores want. \"lvmeans\": matrix mean factor scores (rows observations, columns variables). Use additional level argument way. \"hpd\": HPD interval free parameter. case, prob argument can used specify number (0,1) reflecting desired percentage interval.","code":""},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/reference/blavInspect.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Inspect or Extract Information from a Fitted blavaan Object — blavInspect","text":"","code":"if (FALSE) { # The Holzinger and Swineford (1939) example HS.model <- ' visual  =~ x1 + x2 + x3               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9 '  fit <- bcfa(HS.model, data = HolzingerSwineford1939,             bcontrol = list(method = \"rjparallel\"))  # extract information blavInspect(fit, \"psrf\") blavInspect(fit, \"hpd\", prob = .9) }"},{"path":"http://ecmerkle.github.io/blavaan/reference/blavPredict.html","id":null,"dir":"Reference","previous_headings":"","what":"Predict the values of latent variables, observed variables, and missing variables. — blavPredict","title":"Predict the values of latent variables, observed variables, and missing variables. — blavPredict","text":"purpose blavPredict() function compute various   types model predictions, conditioned observed data. differs   somewhat lavPredict() lavaan.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavPredict.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Predict the values of latent variables, observed variables, and missing variables. — blavPredict","text":"","code":"blavPredict(object, newdata = NULL, type = \"lv\", level = 1L)"},{"path":"http://ecmerkle.github.io/blavaan/reference/blavPredict.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Predict the values of latent variables, observed variables, and missing variables. — blavPredict","text":"object object class blavaan. newdata Currently unused. (optional data.frame, containing variables data.frame used fitting model object.) type character string. \"lv\", estimated values latent variables model computed. \"ov\" \"yhat\", predicted means observed variables model computed. \"ypred\" \"ydist\", predicted values observed variables (including residual noise) computed. \"ymis\" \"ovmis\", model predicted values (\"imputations\") missing data computed. See details information. level type = \"lv\", used specify whether one desires level 1 latent variables level 2 latent variables.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavPredict.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Predict the values of latent variables, observed variables, and missing variables. — blavPredict","text":"predict() function calls blavPredict() function default options. , provide information type option. options work target=\"stan\", \"number samples\" defined number posterior samples across chains. type=\"lv\": posterior distribution latent variables conditioned observed variables. Returns list \"number samples\" entries, entry matrix rows  observations columns latent variables. type=\"yhat\": posterior expected value observed variables conditioned sampled latent variables. Returns list \"number samples\" entries, entry matrix rows observations columns observed variables. type=\"ypred\": posterior predictive distribution observed variables conditioned sampled latent variables (including residual variances). Returns list \"number samples\" entries, entry data frame rows observations columns observed variables. type=\"ymis\": posterior predictive distribution missing values conditioned observed variables. Returns matrix \"number samples\" rows \"number missing variables\" columns.","code":""},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/reference/blavPredict.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Predict the values of latent variables, observed variables, and missing variables. — blavPredict","text":"","code":"if (FALSE) { data(HolzingerSwineford1939)  ## fit model HS.model <- ' visual  =~ x1 + x2 + x3               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9 '  fit <- bcfa(HS.model, data = HolzingerSwineford1939, save.lvs = TRUE) lapply(blavPredict(fit)[1:2], head) # first 6 rows of first 10 posterior samples head(blavPredict(fit, type = \"yhat\")[[1]]) # top of first posterior sample  ## multigroup models return a list of factor scores (one per group) mgfit <- bcfa(HS.model, data = HolzingerSwineford1939, group = \"school\",               group.equal = c(\"loadings\",\"intercepts\"), save.lvs = TRUE)  lapply(blavPredict(fit)[1:2], head) head(blavPredict(fit, type = \"ypred\")[[1]]) }"},{"path":"http://ecmerkle.github.io/blavaan/reference/blav_internal.html","id":null,"dir":"Reference","previous_headings":"","what":"blavaan internal functions — blav_internal","title":"blavaan internal functions — blav_internal","text":"Internal functions related Bayesian model estimation.   called user.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavaan-class.html","id":null,"dir":"Reference","previous_headings":"","what":"Class For Representing A (Fitted) Bayesian Latent Variable Model — blavaan-class","title":"Class For Representing A (Fitted) Bayesian Latent Variable Model — blavaan-class","text":"blavaan class contains lavaan   class, representing (fitted) Bayesian latent variable   model. contains description model specified user,   summary data, internal matrix representation, model   fitted, fitting results.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavaan-class.html","id":"objects-from-the-class","dir":"Reference","previous_headings":"","what":"Objects from the Class","title":"Class For Representing A (Fitted) Bayesian Latent Variable Model — blavaan-class","text":"Objects can created via   bcfa, bsem, bgrowth   blavaan functions.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavaan-class.html","id":"slots","dir":"Reference","previous_headings":"","what":"Slots","title":"Class For Representing A (Fitted) Bayesian Latent Variable Model — blavaan-class","text":"version: lavaan package version used create objects call: function call returned match.call(). timing: elapsed time (user+system) various parts       program list, including total time. Options: Named list options provided       user, filled-automatically. ParTable: Named list describing model parameters. Can coerced data.frame. documentation, called `parameter table'. pta: Named list containing parameter table attributes. Data: Object internal class \"Data\": information data. SampleStats: Object internal class \"SampleStats\": sample       statistics Model: Object internal class \"Model\":       internal (matrix) representation model Cache: List using objects try compute , reuse many times. Fit: Object internal class \"Fit\":       results fitting model. longer used. boot: List. Unused Bayesian models. optim: List. Information optimization. loglik: List. Information loglikelihood model (maximum likelihood used). implied: List. Model implied statistics. vcov: List. Information variance matrix (vcov) model parameters. test: List. Different test statistics. h1: List. Information unrestricted h1 model (available). baseline: List. Information baseline model (often independence model) (available). external: List. Includes Stan JAGS objects used MCMC.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavaan-class.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Class For Representing A (Fitted) Bayesian Latent Variable Model — blavaan-class","text":"coef signature(object = \"blavaan\", type = \"free\"): Returns       estimates parameters model named numeric vector.       type=\"free\", free parameters returned.       type=\"user\", parameters listed parameter table       returned, including constrained fixed parameters. vcov signature(object = \"lavaan\"): returns       covariance matrix estimated parameters. show signature(object = \"blavaan\"): Print short summary       model fit summary signature(object = \"blavaan\", header = TRUE,      fit.measures = FALSE, estimates = TRUE, ci = TRUE,       standardized = FALSE, rsquare = FALSE, std.nox = FALSE,      psrf = TRUE, neff = FALSE, postmedian = FALSE, postmode = FALSE,      priors = TRUE, bf = FALSE, nd = 3L):       Print nice summary model estimates.       header = TRUE, header section (including fit measures)       printed.       fit.measures = TRUE, additional fit measures added       header section.       estimates = TRUE, print parameter estimates section.       ci = TRUE, add confidence intervals parameter estimates       section.       standardized = TRUE,       standardized solution also printed.  Note SEs       tests still based unstandardized estimates. Use       standardizedSolution obtain SEs test       statistics standardized estimates.       rsquare=TRUE, R-Square values dependent variables       model printed.       std.nox = TRUE, std.column contains       std.nox column parameterEstimates() output.       psrf = TRUE, potential scale reduction factors (Rhats)       printed.       neff = TRUE, effective sample sizes printed.       postmedian postmode TRUE, posterior       medians modes printed instead posterior means.       priors = TRUE, parameter prior distributions       printed.       bf = TRUE, Savage-Dickey approximations Bayes       factor printed certain parameters.       Nothing returned (use       lavInspect another extractor function       extract information fitted model).","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavaan-class.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Class For Representing A (Fitted) Bayesian Latent Variable Model — blavaan-class","text":"Edgar C. Merkle, Ellen Fitzsimmons, James Uanhoro, & Ben Goodrich (2021). Efficient Bayesian Structural Equation Modeling Stan. Journal Statistical Software, 100(6), 1-22. URL http://www.jstatsoft.org/v100/i06/. Edgar C. Merkle & Yves Rosseel (2018). blavaan: Bayesian Structural Equation Models via Parameter Expansion. Journal Statistical Software, 85(4), 1-30. URL http://www.jstatsoft.org/v85/i04/. Yves Rosseel (2012). lavaan: R Package Structural Equation Modeling. Journal Statistical Software, 48(2), 1-36. URL http://www.jstatsoft.org/v48/i02/.","code":""},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/reference/blavaan-class.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Class For Representing A (Fitted) Bayesian Latent Variable Model — blavaan-class","text":"","code":"if (FALSE) { HS.model <- ' visual  =~ x1 + x2 + x3               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9 '  fit <- bcfa(HS.model, data=HolzingerSwineford1939)  summary(fit, standardized=TRUE, fit.measures=TRUE, rsquare=TRUE) coef(fit) }"},{"path":"http://ecmerkle.github.io/blavaan/reference/blavaan.html","id":null,"dir":"Reference","previous_headings":"","what":"Fit a Bayesian Latent Variable Model — blavaan","title":"Fit a Bayesian Latent Variable Model — blavaan","text":"Fit Bayesian latent variable model.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavaan.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fit a Bayesian Latent Variable Model — blavaan","text":"","code":"blavaan(..., cp = \"srs\",     dp = NULL, n.chains = 3, burnin, sample,     adapt, mcmcfile = FALSE, mcmcextra = list(), inits = \"simple\",     convergence = \"manual\", target = \"stan\", save.lvs = FALSE,     wiggle = NULL, wiggle.sd = 0.1, prisamp = FALSE, jags.ic = FALSE,     seed = NULL, bcontrol = list())"},{"path":"http://ecmerkle.github.io/blavaan/reference/blavaan.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fit a Bayesian Latent Variable Model — blavaan","text":"... Default lavaan arguments.  See lavaan. cp Handling prior distributions covariance parameters:   possible values \"srs\" (default) \"fa\".  Option   \"fa\" available target=\"jags\". dp Default prior distributions different types     parameters, typically result call dpriors().     See dpriors() help file information. n.chains Number desired MCMC chains. burnin Number burnin/warmup iterations (including adaptive   iterations, target=\"jags\"). Defaults 4000 target=\"jags\"   500 Stan targets. sample total number samples take burnin. Defaults 10000 target=\"jags\" 1000 Stan targets. adapt target=\"jags\", number adaptive iterations use start   sampling. Defaults 1000. mcmcfile TRUE, JAGS/Stan model data written   files (lavExport directory). Can also supply character   string, serves name directory files written. mcmcextra list potential names syntax (unavailable   target=\"stan\"),   monitor, data, llnsamp. syntax object text string containing extra   code insert JAGS/Stan model syntax. data object   list extra data send JAGS/Stan model.    moment_match_k_threshold specified within data looic    model calculated using moment matching. monitor object   character vector containing extra JAGS/Stan parameters   monitor. llnsamp object relevant models ordinal   variables, specifies number samples drawn approximate   model log-likelihood (larger numbers imply higher accuracy   longer time). log-likelihood specifically used compute   information criteria. inits character string, options currently     \"simple\" (default), \"Mplus\", \"prior\", \"jags\".  first two     cases, parameter values set though estimated via     ML (see lavaan).  starting parameter value     chain perturbed original values     addition random uniform noise.  \"prior\" used, starting     parameter values obtained based prior distributions     (also trying ensure starting values crash     model estimation).  \"jags\", starting values     specified JAGS choose values (probably     crash Stan targets). can also supply     list starting values chain, list format can     obtained , e.g., blavInspect(fit, \"inits\"). Finally,     can specify starting values similar way lavaan,     using lavaan start argument (see lavaan     documentation options ). case, also set     inits=\"simple\", aware starting values     used chain. convergence Useful target=\"jags\". \"auto\", parameters   sampled convergence achieved (via autorun.jags()).   case, arguments burnin sample passed   autorun.jags() startburnin startsample,   respectively. Otherwise, parameters   sampled specified user (run.jags   defaults). target Desired MCMC sampling, \"stan\" (pre-compiled   marginal approach)   default. Also available \"vb\", calls rstan function   vb(). options include \"jags\", \"stancond\",   \"stanclassic\", sample latent variables provide   greater functionality (syntax written \"fly\").   slower less efficient. save.lvs sampled latent variables (factor scores)   saved? Logical; defaults FALSE wiggle Labels equality-constrained parameters   \"approximately\" equal. Can also \"intercepts\", \"loadings\",   \"regressions\", \"means\". wiggle.sd prior sd (normal distribution) used approximate equality   constraints. Can one value, (target=\"stan\") numeric vector   values length wiggle. prisamp samples drawn prior, instead   posterior (target=\"stan\" )? Logical; defaults FALSE jags.ic DIC computed JAGS way, addition BUGS way? Logical; defaults FALSE seed vector length n.chains (target   \"jags\") integer (target \"stan\") containing random   seeds MCMC run. NULL, seeds chosen randomly. bcontrol list containing additional parameters passed     run.jags (autorun.jags) stan.  See manpage functions     overview additional parameters can set.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavaan.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Fit a Bayesian Latent Variable Model — blavaan","text":"object inherits class lavaan, several methods   available, including summary method.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavaan.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Fit a Bayesian Latent Variable Model — blavaan","text":"Edgar C. Merkle, Ellen Fitzsimmons, James Uanhoro, & Ben Goodrich (2021). Efficient Bayesian Structural Equation Modeling Stan. Journal Statistical Software, 100(6), 1-22. URL http://www.jstatsoft.org/v100/i06/. Edgar C. Merkle & Yves Rosseel (2018). blavaan: Bayesian Structural Equation Models via Parameter Expansion. Journal Statistical Software, 85(4), 1-30. URL http://www.jstatsoft.org/v85/i04/. Yves Rosseel (2012). lavaan: R Package Structural Equation Modeling. Journal Statistical Software, 48(2), 1-36. URL http://www.jstatsoft.org/v48/i02/.","code":""},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/reference/blavaan.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Fit a Bayesian Latent Variable Model — blavaan","text":"","code":"if (FALSE) { # The Holzinger and Swineford (1939) example HS.model <- ' visual  =~ x1 + x2 + x3               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9 '  fit <- blavaan(HS.model, data=HolzingerSwineford1939,                auto.var=TRUE, auto.fix.first=TRUE,                auto.cov.lv.x=TRUE) summary(fit) coef(fit) }"},{"path":"http://ecmerkle.github.io/blavaan/reference/bsem.html","id":null,"dir":"Reference","previous_headings":"","what":"Fit Structural Equation Models — bsem","title":"Fit Structural Equation Models — bsem","text":"Fit Structural Equation Model (SEM).","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/bsem.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fit Structural Equation Models — bsem","text":"","code":"bsem(..., cp = \"srs\",      dp = NULL, n.chains = 3, burnin, sample,      adapt, mcmcfile = FALSE, mcmcextra = list(), inits = \"simple\",      convergence = \"manual\", target = \"stan\", save.lvs = FALSE,      wiggle = NULL, wiggle.sd = 0.1, prisamp = FALSE, jags.ic = FALSE,      seed = NULL, bcontrol = list())"},{"path":"http://ecmerkle.github.io/blavaan/reference/bsem.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fit Structural Equation Models — bsem","text":"... Default lavaan arguments.  See lavaan. cp Handling prior distributions covariance parameters:   possible values \"srs\" (default) \"fa\". Option \"fa\" available target=\"jags\". dp Default prior distributions different types     parameters, typically result call dpriors().     See dpriors() help file information. n.chains Number desired MCMC chains. burnin Number burnin/warmup iterations (including adaptive   iterations, target=\"jags\"). Defaults 4000 target=\"jags\"   500 Stan targets. sample total number samples take burnin. Defaults 10000 target=\"jags\" 1000 Stan targets. adapt target=\"jags\", number adaptive iterations use start   sampling. Defaults 1000. mcmcfile TRUE, JAGS/Stan model written file   (lavExport directory). Can also supply character   string, serves name directory files written. mcmcextra list potential names syntax (unavailable   target=\"stan\"),   monitor, data, llnsamp. syntax object text string containing extra   code insert JAGS/Stan model syntax. data object   list extra data send JAGS/Stan model.    moment_match_k_threshold specified within data looic    model calculated using moment matching. monitor object   character vector containing extra JAGS/Stan parameters   monitor. llnsamp object relevant models ordinal   variables, specifies number samples drawn approximate   model log-likelihood (larger numbers imply higher accuracy   longer time). log-likelihood specifically used compute   information criteria. inits character string, options currently     \"simple\" (default), \"Mplus\", \"prior\", \"jags\".  first two     cases, parameter values set though estimated via     ML (see lavaan).  starting parameter value     chain perturbed original values     addition random uniform noise.  \"prior\" used, starting     parameter values obtained based prior distributions     (also trying ensure starting values crash     model estimation).  \"jags\", starting values     specified JAGS choose values (probably     crash Stan targets). can also supply     list starting values chain, list format can     obtained , e.g., blavInspect(fit, \"inits\"). Finally,     can specify starting values similar way lavaan,     using lavaan start argument (see lavaan     documentation options ). case, also set     inits=\"simple\", aware starting values     used chain. convergence Useful target=\"jags\". \"auto\", parameters   sampled convergence achieved (via autorun.jags()).   case, arguments burnin sample passed   autorun.jags() startburnin startsample,   respectively. Otherwise, parameters   sampled specified user (run.jags   defaults). target Desired MCMC sampling, \"stan\" (pre-compiled   marginal approach)   default. Also available \"vb\", calls rstan function   vb(). options include \"jags\", \"stancond\",   \"stanclassic\", sample latent variables provide   greater functionality (syntax written \"fly\").   slower less efficient. save.lvs sampled latent variables (factor scores) saved? Logical; defaults FALSE wiggle Labels equality-constrained parameters   \"approximately\" equal. Can also \"intercepts\", \"loadings\",   \"regressions\", \"means\". wiggle.sd prior sd (normal distribution) used approximate equality   constraints. Can one value, (target=\"stan\") numeric vector   values length wiggle. prisamp samples drawn prior, instead   posterior (target=\"stan\" )? Logical; defaults FALSE jags.ic DIC computed JAGS way, addition BUGS way? Logical; defaults FALSE seed vector length n.chains (target   \"jags\") integer (target \"stan\") containing random   seeds MCMC run. NULL, seeds chosen randomly. bcontrol list containing additional parameters passed     run.jags (autorun.jags) stan.  See manpage functions     overview additional parameters can set.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/bsem.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Fit Structural Equation Models — bsem","text":"bsem function wrapper general     blavaan function, using following default     lavaan arguments:     int.ov.free = TRUE, int.lv.free = FALSE,     auto.fix.first = TRUE (unless std.lv = TRUE),     auto.fix.single = TRUE, auto.var = TRUE,     auto.cov.lv.x = TRUE,     auto.th = TRUE, auto.delta = TRUE,     auto.cov.y = TRUE.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/bsem.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Fit Structural Equation Models — bsem","text":"object class lavaan, several methods   available, including summary method.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/bsem.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Fit Structural Equation Models — bsem","text":"Edgar C. Merkle, Ellen Fitzsimmons, James Uanhoro, & Ben Goodrich (2021). Efficient Bayesian Structural Equation Modeling Stan. Journal Statistical Software, 100(6), 1-22. URL http://www.jstatsoft.org/v100/i06/. Edgar C. Merkle & Yves Rosseel (2018). blavaan: Bayesian Structural Equation Models via Parameter Expansion. Journal Statistical Software, 85(4), 1-30. URL http://www.jstatsoft.org/v85/i04/. Yves Rosseel (2012). lavaan: R Package Structural Equation Modeling. Journal Statistical Software, 48(2), 1-36. URL http://www.jstatsoft.org/v48/i02/.","code":""},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/reference/bsem.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Fit Structural Equation Models — bsem","text":"","code":"if (FALSE) { ## The industrialization and Political Democracy Example ## Bollen (1989), page 332 model <- '   # latent variable definitions      ind60 =~ x1 + x2 + x3      dem60 =~ y1 + a*y2 + b*y3 + c*y4      dem65 =~ y5 + a*y6 + b*y7 + c*y8    # regressions     dem60 ~ ind60     dem65 ~ ind60 + dem60    # residual correlations     y1 ~~ y5     y2 ~~ y4 + y6     y3 ~~ y7     y4 ~~ y8     y6 ~~ y8 '  ## unique priors for mv intercepts; parallel chains fit <- bsem(model, data=PoliticalDemocracy,             dp=dpriors(nu=\"normal(5,10)\")) summary(fit) }"},{"path":"http://ecmerkle.github.io/blavaan/reference/dpriors.html","id":null,"dir":"Reference","previous_headings":"","what":"Specify Default Prior Distributions — dpriors","title":"Specify Default Prior Distributions — dpriors","text":"Specify \"default\" prior distributions classes model parameters.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/dpriors.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Specify Default Prior Distributions — dpriors","text":"","code":"dpriors(..., target = \"stan\")"},{"path":"http://ecmerkle.github.io/blavaan/reference/dpriors.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Specify Default Prior Distributions — dpriors","text":"... Parameter names paired desired priors (see example     ). target priors jags, stan (default), stanclassic?","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/dpriors.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Specify Default Prior Distributions — dpriors","text":"prior distributions always use JAGS/Stan syntax parameterizations.   example, normal distribution JAGS parameterized via   precision, whereas normal distribution Stan parameterized   via standard deviation. User-specified prior distributions specific parameters   (using prior() operator within model syntax) always   override prior distributions set using dpriors(). parameter names : nu: Observed variable intercept parameters. alpha: Latent variable intercept parameters. lambda: Loading parameters. beta: Regression parameters. itheta: Observed variable precision parameters. ipsi: Latent variable precision parameters. rho: Correlation parameters (associated covariance parameters). ibpsi: Inverse covariance matrix     blocks latent variables (used target=\"jags\"). tau: Threshold parameters (ordinal data ). delta: Delta parameters (ordinal data ).","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/dpriors.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Specify Default Prior Distributions — dpriors","text":"character vector containing prior distribution type parameter.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/dpriors.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Specify Default Prior Distributions — dpriors","text":"Edgar C. Merkle, Ellen Fitzsimmons, James Uanhoro, & Ben Goodrich (2021). Efficient Bayesian Structural Equation Modeling Stan. Journal Statistical Software, 100(6), 1-22. URL http://www.jstatsoft.org/v100/i06/. Edgar C. Merkle & Yves Rosseel (2018). blavaan: Bayesian Structural Equation Models via Parameter Expansion. Journal Statistical Software, 85(4), 1-30. URL http://www.jstatsoft.org/v85/i04/.","code":""},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/reference/dpriors.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Specify Default Prior Distributions — dpriors","text":"","code":"dpriors(nu = \"normal(0,10)\", lambda = \"normal(0,1)\", rho = \"beta(3,3)\") #>                nu             alpha            lambda              beta  #>    \"normal(0,10)\"    \"normal(0,10)\"     \"normal(0,1)\"    \"normal(0,10)\"  #>             theta               psi               rho             ibpsi  #> \"gamma(1,.5)[sd]\" \"gamma(1,.5)[sd]\"       \"beta(3,3)\" \"wishart(3,iden)\"  #>               tau  #>   \"normal(0,1.5)\""},{"path":"http://ecmerkle.github.io/blavaan/reference/plot.blavaan.html","id":null,"dir":"Reference","previous_headings":"","what":"blavaan Diagnostic Plots — plot.blavaan","title":"blavaan Diagnostic Plots — plot.blavaan","text":"Convenience functions create plots blavaan objects, via bayesplot package.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/plot.blavaan.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"blavaan Diagnostic Plots — plot.blavaan","text":"","code":"# S3 method for blavaan plot(x, pars = NULL, plot.type = \"trace\", showplot = TRUE, ...)"},{"path":"http://ecmerkle.github.io/blavaan/reference/plot.blavaan.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"blavaan Diagnostic Plots — plot.blavaan","text":"x object class blavaan. pars Parameter numbers plot, numbers correspond order parameters reported coef() (also shown 'free' column parTable). numbers provided, free parameters plotted. plot.type type plot desired. name MCMC function, without mcmc_ prefix. showplot plot sent graphic device? Defaults TRUE. ... arguments sent bayesplot function.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/plot.blavaan.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"blavaan Diagnostic Plots — plot.blavaan","text":"previous versions blavaan, plotting functionality   handled separately JAGS Stan (using plot functionality   packages runjags rstan, respectively). uniformity,   plotting functionality now handled bayesplot. users desire   additional functionality immediately available, can extract matrix MCMC draws via .matrix(blavInspect(x, 'mcmc')).","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/plot.blavaan.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"blavaan Diagnostic Plots — plot.blavaan","text":"invisible ggplot object , desired, can customized.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/plot.blavaan.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"blavaan Diagnostic Plots — plot.blavaan","text":"","code":"if (FALSE) { HS.model <- ' visual  =~ x1 + x2 + x3               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9 '  fit <- bcfa(HS.model, data=HolzingerSwineford1939)  # trace plots of free loadings plot(fit, pars = 1:6) }"},{"path":"http://ecmerkle.github.io/blavaan/reference/ppmc.html","id":null,"dir":"Reference","previous_headings":"","what":"Posterior Predictive Model Checks — ppmc","title":"Posterior Predictive Model Checks — ppmc","text":"function allows users conduct posterior predictive model check assess global local fit latent variable model using discrepancy function can applied lavaan model.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/ppmc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Posterior Predictive Model Checks — ppmc","text":"","code":"ppmc(object, thin = 1, fit.measures = c(\"srmr\",\"chisq\"), discFUN = NULL,      conditional = FALSE)  # S4 method for blavPPMC summary(object, ...)  # S3 method for ppmc summary(object, discFUN, dist = c(\"obs\",\"sim\"),         central.tendency = c(\"mean\",\"median\",\"mode\"),         hpd = TRUE, prob = .95, to.data.frame = FALSE, diag = TRUE,         sort.by = NULL, decreasing = FALSE)  # S3 method for blavPPMC plot(x, ..., discFUN, element, central.tendency = \"\",      hpd = TRUE, prob = .95, nd = 3)  # S3 method for blavPPMC hist(x, ..., discFUN, element, hpd = TRUE, prob = .95,      printLegend = TRUE, legendArgs = list(x = \"topleft\"),      densityArgs = list(), nd = 3)  # S3 method for blavPPMC pairs(x, discFUN, horInd = 1:DIM, verInd = 1:DIM,       printLegend = FALSE, ...)"},{"path":"http://ecmerkle.github.io/blavaan/reference/ppmc.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Posterior Predictive Model Checks — ppmc","text":"object,x object class blavaan. thin Optional integer indicating much thin chain.     Default 1L, indicating thin chains object. fit.measures character vector indicating names global     discrepancy measures returned fitMeasures. Ignored     unless discFUN NULL, users may include     fitMeasures list discrepancy functions     discFUN. ordinal models, \"logl\" \"chisq\"     computations done via lavaan. discFUN function, list functions, can     called object class lavaan. function     must return object whose mode numeric, may     vector, matrix, multidimensional array.     summary plot methods, discFUN     character indicating discrepancy function     summarize. conditional logical indicating whether , artificial data     generation, condition estimated latent   variables. Requires model estimated save.lvs = TRUE. element numeric character indicating index (    dimension discFUN output, multiple) plot. horInd,verInd Similar element, numeric     character vector indicating indices matrix plot     scatterplot matrix. horInd==verInd, histograms     plotted upper triangle. dist character indicating whether summarize distribution     discFUN either observed simulated data. central.tendency character indicating statistics     used characterize location posterior (predictive)     distribution. default, 3 statistics returned     summary method, none plot method. posterior     mean labeled EAP expected posteriori estimate,     mode labeled MAP modal posteriori estimate. hpd logical indicating whether calculate highest     posterior density (HPD) credible interval discFUN. prob \"confidence\" level credible interval(s). nd number digits print scatterplot. .data.frame logical indicating whether summary     symmetric 2-dimensional matrix returned discFUN     unique elements stored rows data.frame can sorted     convenience identifying large discrepancies. discFUN     returns asymmetric 2-dimensional matrix, list matrices     returned summary can also converted data.frame. diag Passed lower.tri .data.frame=TRUE. sort.character. summary returns data.frame,     can sorted column name using order. Note     discFUN returns asymmetric 2-dimensional matrix,     data.frame returned list sorted     independently, rows unlikely consistent across     summary statistics. decreasing Passed order     !.null(sort.). ... Additional graphical parameters     passed plot.default. printLegend logical. TRUE (default), legend     printed histogram legendArgs list arguments passed     legend function.  default argument list     placing legend top-left figure. densityArgs list arguments passed     density function, used obtain densities     hist method.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/ppmc.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Posterior Predictive Model Checks — ppmc","text":"S4 object class blavPPMC consisting 5 list slots: @discFUN user-supplied discFUN, call     fitMeasures returns fit.measures. @dims dimensions object returned     discFUN. @PPP posterior predictive p value     discFUN element. @obsDist posterior distribution realize values     discFUN applied observed data. @simDist posterior predictive distribution values     discFUN applied data simulated posterior samples. summary() method returns numeric vector discFUN returns scalar, data.frame one discrepancy function per row     discFUN returns numeric vector, list     one summary statistic per element discFUN returns matrix multidimensional array. plot pairs methods invisibly return NULL,   printing plot (scatterplot matrix) current device. hist method invisibly returns list arguments can   passed function list element named.  Users   can edit arguments list customize histograms.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/ppmc.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Posterior Predictive Model Checks — ppmc","text":"Terrence D. Jorgensen (University Amsterdam; TJorgensen314@gmail.com)","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/ppmc.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Posterior Predictive Model Checks — ppmc","text":"Levy, R. (2011). Bayesian data--model fit assessment structural equation   modeling. Structural Equation Modeling, 18(4), 663--685.   doi:10.1080/10705511.2011.607723","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/ppmc.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Posterior Predictive Model Checks — ppmc","text":"","code":"if (FALSE) { HS.model <- ' visual  =~ x1 + x2 + x3               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9 ' ## fit single-group model fit <- bcfa(HS.model, data = HolzingerSwineford1939,              n.chains = 2, burnin = 1000, sample = 500) ## fit multigroup model fitg <- bcfa(HS.model, data = HolzingerSwineford1939,              n.chains = 2, burnin = 1000, sample = 500, group = \"school\")   ## Use fit.measures as a shortcut for global fitMeasures only ## - Note that indices calculated from the \"df\" are only appropriate under ##   noninformative priors, such that pD approximates the number of estimated ##   parameters counted under ML estimation; incremental fit indices ##   introduce further complications)  AFIs <- ppmc(fit, thin = 10, fit.measures = c(\"srmr\",\"chisq\",\"rmsea\",\"cfi\")) summary(AFIs)                 # summarize the whole vector in a data.frame hist(AFIs, element = \"rmsea\") # only plot one discrepancy function at a time plot(AFIs, element = \"srmr\")   ## define a list of custom discrepancy functions ## - (global) fit measures ## - (local) standardized residuals  discFUN <- list(global = function(fit) {                   fitMeasures(fit, fit.measures = c(\"cfi\",\"rmsea\",\"srmr\",\"chisq\"))                 },                 std.cov.resid = function(fit) lavResiduals(fit, zstat = FALSE,                                                            summary = FALSE)$cov,                 std.mean.resid = function(fit) lavResiduals(fit, zstat = FALSE,                                                             summary = FALSE)$mean) out1g <- ppmc(fit, discFUN = discFUN)  ## summarize first discrepancy by default (fit indices) summary(out1g) ## some model-implied correlations look systematically over/underestimated summary(out1g, discFUN = \"std.cov.resid\", central.tendency = \"EAP\") hist(out1g, discFUN = \"std.cov.resid\", element = c(1, 7)) plot(out1g, discFUN = \"std.cov.resid\", element = c(\"x1\",\"x7\")) ## For ease of investigation, optionally export summary as a data.frame, ## sorted by size of average residual summary(out1g, discFUN = \"std.cov.resid\", central.tendency = \"EAP\",         to.data.frame = TRUE, sort.by = \"EAP\") ## or sorted by size of PPP summary(out1g, discFUN = \"std.cov.resid\", central.tendency = \"EAP\",         to.data.frame = TRUE, sort.by = \"PPP_sim_LessThan_obs\")  ## define a list of custom discrepancy functions for multiple groups ## (return each group's numeric output using a different function)  disc2g <- list(global = function(fit) {                  fitMeasures(fit, fit.measures = c(\"cfi\",\"rmsea\",\"mfi\",\"srmr\",\"chisq\"))                },                cor.resid1 = function(fit) lavResiduals(fit, zstat = FALSE,                                                        type = \"cor.bollen\",                                                        summary = FALSE)[[1]]$cov,                cor.resid2 = function(fit) lavResiduals(fit, zstat = FALSE,                                                        type = \"cor.bollen\",                                                        summary = FALSE)[[2]]$cov) out2g <- ppmc(fitg, discFUN = disc2g, thin = 2) ## some residuals look like a bigger problem in one group than another pairs(out2g, discFUN = \"cor.resid1\", horInd = 1:3, verInd = 7:9) # group 1 pairs(out2g, discFUN = \"cor.resid2\", horInd = 1:3, verInd = 7:9) # group 2  ## print all to file: must be a LARGE picture. First group 1 ... png(\"cor.resid1.png\", width = 1600, height = 1200) pairs(out2g, discFUN = \"cor.resid1\") dev.off() ## ... then group 2 png(\"cor.resid2.png\", width = 1600, height = 1200) pairs(out2g, discFUN = \"cor.resid2\") dev.off() }"},{"path":"http://ecmerkle.github.io/blavaan/reference/standardizedPosterior.html","id":null,"dir":"Reference","previous_headings":"","what":"Standardized Posterior — standardizedPosterior","title":"Standardized Posterior — standardizedPosterior","text":"Standardized posterior distribution latent variable model.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/standardizedPosterior.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Standardized Posterior — standardizedPosterior","text":"","code":"standardizedPosterior(object, ...)"},{"path":"http://ecmerkle.github.io/blavaan/reference/standardizedPosterior.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Standardized Posterior — standardizedPosterior","text":"object object class blavaan. ... Additional arguments passed lavaan's   standardizedSolution()","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/standardizedPosterior.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Standardized Posterior — standardizedPosterior","text":"allowed standardizedSolution() arguments type, cov.std, remove.eq, remove.ineq, remove.def. arguments immediately suited posterior distributions.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/standardizedPosterior.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Standardized Posterior — standardizedPosterior","text":"matrix containing standardized posterior draws, rows draws   columns parameters.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/standardizedPosterior.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Standardized Posterior — standardizedPosterior","text":"","code":"if (FALSE) { model <- '    # latent variable definitions      ind60 =~ x1 + x2 + x3      dem60 =~ y1 + a*y2 + b*y3 + c*y4      dem65 =~ y5 + a*y6 + b*y7 + c*y8    # regressions     dem60 ~ ind60     dem65 ~ ind60 + dem60    # residual correlations     y1 ~~ y5     y2 ~~ y4 + y6     y3 ~~ y7     y4 ~~ y8     y6 ~~ y8 '  fit <- bsem(model, data=PoliticalDemocracy,             dp=dpriors(nu=\"dnorm(5,1e-2)\"),             bcontrol=list(method=\"rjparallel\"))  standardizedPosterior(fit) }"},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-05-2","dir":"Changelog","previous_headings":"","what":"Version 0.5-2","title":"Version 0.5-2","text":"CRAN release: 2023-09-25","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-5-2","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.5-2","text":"maintenance release, primarily adding new array declaration syntax Stan models (syntax became available new version rstan).","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-5-2","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.5-2","text":"blavCompare() work models meanstructure = FALSE (reported Pedro Ribeiro). target=“jags”, posterior modes obtained via postmode = TRUE (reported Giada Venaruzzo). models continuous ordinal variables fail cases ordinal variables missing (reported Sonja Winter). certain equality constraints involving named parameters fail target=“stan” (reported Niels Skovgaard-Olsen)","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-05-1","dir":"Changelog","previous_headings":"","what":"Version 0.5-1","title":"Version 0.5-1","text":"CRAN release: 2023-08-29","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-5-1","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.5-1","text":"Two-level models now supported (complete, continuous data) via cluster argument.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-5-1","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.5-1","text":"two-level model specification, levels labeled “within” “”. restrictive lavaan specification. target=“jags”, latent variable extraction via blavInspect(, “lvs”) fails (reported Joseph Saraceno).","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-04-8","dir":"Changelog","previous_headings":"","what":"Version 0.4-8","title":"Version 0.4-8","text":"CRAN release: 2023-06-12","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-4-8","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.4-8","text":"maintenance release bug fixes changes compiler settings","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-4-8","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.4-8","text":"certain models residual correlations /correlated factors, initial values target=‘stan’ lead non-positive definite matrices (reported Yuanyuan Hu). models latent variable regressed observed variable (lv ~ ov), latent variable samples account mean observed variable (centered around 0 constant).","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-04-7","dir":"Changelog","previous_headings":"","what":"Version 0.4-7","title":"Version 0.4-7","text":"CRAN release: 2023-03-01","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-4-7","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.4-7","text":"primarily update address C++14 vs C++17 compilation issue identified CRAN bugs 0.4-6 also fixed","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-4-7","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.4-7","text":"Sampling priors (prisamp = TRUE) fails models meanstructure = FALSE; posterior still estimated (reported Armel Brizuela Rodríguez). target = “jags”, models single-indicator latent variable, latent variable regressed variables, return incorrect parameter estimates (reported Brad Cosentino).","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-04-6","dir":"Changelog","previous_headings":"","what":"Version 0.4-6","title":"Version 0.4-6","text":"CRAN release: 2023-02-11","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-4-6","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.4-6","text":"target = “stan”, meanstructure=FALSE allowed, along use sample.cov sample.nobs instead raw data Users warned priors covariance matrices neither diagonal unrestricted models observed variable intercepts appear latent intercept vector (alpha), default priors come observed intercept vector nu (user expect) inits = “simple” now default (instead “prior”), address convergence problems stan targets, “:=” can now used identity function target = “stan”, fix missing data issue 0.4-3 (complete data one group ) Column names added blavPredict(, type=“lv”)","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-4-6","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.4-6","text":"blavFitIndices() save.lvs = TRUE work correctly models without meanstructure. Workaround use meanstructure = TRUE model estimation command (reported Charles Hofacker). lavaan summary() method sometimes called instead blavaan summary() method (reported multiple users, Shu Fai Cheung providing helpful examples).","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-04-3","dir":"Changelog","previous_headings":"","what":"Version 0.4-3","title":"Version 0.4-3","text":"CRAN release: 2022-05-11","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-4-3","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.4-3","text":"target = “stan”, models run faster earlier versions (use sufficient statistics) Posterior summaries faster ordinal models (using mnormt::sadmvn() default) Variational Bayes option added: target=“vb”, uses rstan::vb() cmdstanr functionality added: target=“cmdstanr”, uses model target=“stan” Fix blavInspect(., “lvs”/“lvmeans”) multiple groups + missing data Fixes ppmc() ordinal models; blavFitIndices() turned ordinal models (research needed) loo() moment matching available passing mcmcextra = list(data = list(moment_match_k_threshold))","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-4-3","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.4-3","text":"target = “stan” fails complete data one group missing data another group (reported Ronja Runge). blavPredict(, type=“ymis”) still available models ordinal variables","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-04-1","dir":"Changelog","previous_headings":"","what":"Version 0.4-1","title":"Version 0.4-1","text":"CRAN release: 2022-01-27","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-4-1","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.4-1","text":"Functionality ordinal observed variables now available. models missing data, posterior summaries sped (log-likelihood computations now done Stan).","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-4-1","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.4-1","text":"blavPredict(, type=“ymis”) working models ordinal variables blavInspect(, ‘lvs’) (, ‘lvmeans’) can fail models combination multiple groups, missing values, excluded cases blavFitIndices() ppmc() working models ordinal variables, may indicate excessively bad fit blavFitIndices(, rescale=“mcmc”) fails","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-03-18","dir":"Changelog","previous_headings":"","what":"Version 0.3-18","title":"Version 0.3-18","text":"CRAN release: 2021-11-27","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-3-18","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.3-18","text":"version adds reference new JSS paper, including DOI, corrects inconsistent version dependency. changes compared 0.3-17.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-03-17","dir":"Changelog","previous_headings":"","what":"Version 0.3-17","title":"Version 0.3-17","text":"CRAN release: 2021-07-19","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-3-17","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.3-17","text":"maintenance release correct major bugs previous version.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-03-16","dir":"Changelog","previous_headings":"","what":"Version 0.3-16","title":"Version 0.3-16","text":"CRAN release: 2021-07-11","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-3-16","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.3-16","text":"blavPredict() function added predicting latent variables missing data. posterior summaries sped . (fitMeasures available test=“none”) bug fixes previous version.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-3-16","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.3-16","text":"certain models missing data, ppp-values incorrect (sometimes equaling 1.0). target=“stan”, multiple group models fail cases missing observed variables (reported DeAnne Hunter).","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-03-15","dir":"Changelog","previous_headings":"","what":"Version 0.3-15","title":"Version 0.3-15","text":"CRAN release: 2021-02-19","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-3-15","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.3-15","text":"Added S3 summary() method ppmc Posterior intervals summary() bug fixed","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-3-15","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.3-15","text":"summary() method ppmc() fitIndices() always work correctly. Jacobian incorrect target=“stan”, (non-default) priors placed precisions variances instead standard deviations. impact estimates posterior variability (reported Roy Levy).","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-03-14","dir":"Changelog","previous_headings":"","what":"Version 0.3-14","title":"Version 0.3-14","text":"CRAN release: 2021-01-20 (version 0.3-13 violated CRAN policy)","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-3-14","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.3-14","text":"maintenance release response change package Matrix.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-3-14","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.3-14","text":"Posterior intervals NA summary(). Workarounds use parameterEstimates() (intervals assuming posterior normality) compute using posterior samples (`blavInspect(fit, “mcmc”)’)","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-03-12","dir":"Changelog","previous_headings":"","what":"Version 0.3-12","title":"Version 0.3-12","text":"CRAN release: 2020-11-12 (version 0.3-11 failed Windows CRAN checks)","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-3-12","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.3-12","text":"vector values wiggle.sd allowed different priors approximate equality constraints logical argument “prisamp” added, sampling model’s prior target=“stan”, lkj prior used unrestricted lv correlation matrices default priors conditional approaches (targets jags stanclassic) revert placed precisions (opposed SDs), improvement sampling efficiency","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-03-10","dir":"Changelog","previous_headings":"","what":"Version 0.3-10","title":"Version 0.3-10","text":"CRAN release: 2020-08-03","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-3-10","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.3-10","text":"save.lvs=TRUE works missing data target=“stan” new arguments “wiggle” “wiggle.sd” approximate equality constraints target=“stan”","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-3-10","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.3-10","text":"plot labels target=“stan” sometimes incorrect (displaying parameter different panel label). complex equality constraints sometimes ignored (target=“jags” “stanclassic”) equality constraints std.lv=TRUE sometimes fail (target=“stan”) placing priors variances precisions yields incorrect results (target=“stan”; reported Roy Levy)","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-03-9","dir":"Changelog","previous_headings":"","what":"Version 0.3-9","title":"Version 0.3-9","text":"CRAN release: 2020-03-09","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-3-9","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.3-9","text":"improvements save.lvs=TRUE target=“stan”. target=“stancond” added, experimental, noncentered Stan approach. bug fixes prior settings std.lv target=“stan”, defined parameters.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-3-9","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.3-9","text":"target=“stan”, problems sampling lvs multiple groups missing data. Errors blavCompare() blavFitIndices() due version updates packages. target=“stan”, models std.lv=TRUE converge.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-03-8","dir":"Changelog","previous_headings":"","what":"Version 0.3-8","title":"Version 0.3-8","text":"CRAN release: 2019-11-19","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-3-8","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.3-8","text":"post-estimation, posterior predictive computations sped considerably. 0.3-7 bugs fixed.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-3-8","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.3-8","text":"target=“stan” std.lv=TRUE, estimation fails certain (growth) models (reported Mauricio Garnier-Villareal). defined variables fail target=“jags” “stanclassic” (reported Mariëlle Zondervan-Zwijnenburg). User-specified priors sometimes placed wrong parameter, related 0.3-7 bug (reported Mauricio Garnier-Villareal). dpriors() issue 0.3-3 remains.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-03-7","dir":"Changelog","previous_headings":"","what":"Version 0.3-7","title":"Version 0.3-7","text":"CRAN release: 2019-09-27","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-3-7","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.3-7","text":"target=“stan”, gamma priors can now placed user’s choice variances, standard deviations, precisions. plot() now works uniformly across Stan JAGS, relying bayesplot. post-MCMC parallelization now handled via future.apply package (requires extra “plan” command user, works windows). 0.3-6 bugs fixed.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-3-7","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.3-7","text":"blavInspect(, ‘lvmeans’) returns rows wrong order target=“stan” (reported Mehdi Momen). User-specified priors sometimes placed wrong parameter, target=“stan” (reported Enrico Toffalini). dpriors() issue 0.3-3 remains.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-03-6","dir":"Changelog","previous_headings":"","what":"Version 0.3-6","title":"Version 0.3-6","text":"CRAN release: 2019-08-08","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-3-6","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.3-6","text":"fixes stan plot bug 0.3-5.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-3-6","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.3-6","text":"user-specified priors correlation parameters silently ignored target=“stan” (reported James Uanhoro). save.lvs=TRUE work target=“stan” (reported Mauricio Garnier-Villareal). dpriors() issue 0.3-3 remains.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-03-5","dir":"Changelog","previous_headings":"","what":"Version 0.3-5","title":"Version 0.3-5","text":"CRAN release: 2019-08-03","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-3-5","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.3-5","text":"target=“stan” now default, using pre-compiled Stan model instead “fly” code. ppmc() function added Terrence Jorgensen, facilitating posterior predictive checks. default priors changed gamma precisions gamma standard deviations.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-3-5","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.3-5","text":"Stan plot method silently fails (reported Matt Yalch). dpriors() issue 0.3-3 remains.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-03-4","dir":"Changelog","previous_headings":"","what":"Version 0.3-4","title":"Version 0.3-4","text":"CRAN release: 2019-01-11","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-3-4","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.3-4","text":"Add function standardizedPosterior() standardizing posterior draws. Turn posterior modes target=“jags”, due conflict current versions runjags modeest. Rearrange posterior predictive internals.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-3-4","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.3-4","text":"dpriors() issue 0.3-3 remains. target=“jags”, lv means obtained blavInspect() (via argument ‘lvmeans’) incorrect. (reported Mauricio Garnier-Villareal) Use plot() target=“stan” causes problems future blavInspect() calls.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-03-3","dir":"Changelog","previous_headings":"","what":"Version 0.3-3","title":"Version 0.3-3","text":"CRAN release: 2018-10-31","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-3-3","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.3-3","text":"convergence=“auto”, max time previously 5 min (undocumented). now Inf. Axis labels (parameter names) now sensible convergence plots. Relative effective sample size now used compute loo/waic SEs, SEs now returned via fitMeasures(). Added unit testing via package testthat. Fixed bugs 0.3-2 (exception identity assignments using ‘:=’)","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-3-3","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.3-3","text":"Use ‘dpriors()’: observed variable precisions assigned latent precision (ipsi) prior; latent means assigned observed mean (nu) prior.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-03-2","dir":"Changelog","previous_headings":"","what":"Version 0.3-2","title":"Version 0.3-2","text":"CRAN release: 2018-06-10","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-3-2","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.3-2","text":"Conditional (latent variables) information criteria available save.lvs = TRUE. Experimental function ‘blavFitIndices()’ added Bayesian versions SEM metrics, contributed Terrence Jorgensen. blavaan “intelligently” chooses target, either runjags rstan () installed. Fixed bugs 0.3-1, especially related missing data Stan.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-3-2","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.3-2","text":"Errors Stan models std.lv=TRUE, observed variable regressed latent variable (reported Bo Zhang). Error identity assignments using ‘:=’ (reported Marco Tullio Liuzza). Explicitly adding argument ‘.fit=TRUE’ fails (reported Esteban Montenegro).","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-03-1","dir":"Changelog","previous_headings":"","what":"Version 0.3-1","title":"Version 0.3-1","text":"CRAN release: 2018-01-12","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-3-1","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.3-1","text":"Stan export now supported; use target=“stan”. Improved handling complex models, including growth/change models. Sampling factor scores (lvs) available via ‘save.lvs=TRUE’. Samples/means can obtained supplying arguments ‘lvs’ ‘lvmeans’ ‘blavInspect()’. Fixed bugs 0.2-4.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-3-1","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.3-1","text":"Errors Stan models missing data, exogenous (“x”) variables. Errors multi-group Stan models std.lv=TRUE.","code":""}]
+[{"path":"http://ecmerkle.github.io/blavaan/articles/approx_fi.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Approximate fit indices","text":"SEM, one first steps evaluate model’s global fit. commonly done presenting multiple fit indices, common based model’s \\(\\chi^2\\). developed Bayesian versions indices (Garnier-Villarreal Jorgensen 2020) can computed blavaan.","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/approx_fi.html","id":"noncentrality-based-fit-indices","dir":"Articles","previous_headings":"","what":"Noncentrality-Based Fit Indices","title":"Approximate fit indices","text":"group indices compares hypothesized model perfect saturated model. specifically uses noncentrality parameter \\(\\hat{\\lambda} = \\chi^2 - df\\), df adjusted different model/data characterictics. Specific indices include Root Mean Square Error approximation (RMSEA), McDonald’s centrality index (Mc), gamma-hat (\\(\\hat{\\Gamma}\\)), adjusted gamma-hat (\\(\\hat{\\Gamma}_{adj}\\)). show example Holzinger Swineford (1939) example. first estimate SEM/CFA model usual need pass model blavFitIndices() function Finally, can describe posterior distribution indices summary() function. call, see 3 central tendency measures (mean median, mode), standard deviation, 90% Credible Interval","code":"HS.model <- ' visual  =~ x1 + x2 + x3               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9 '  fit <- bcfa(HS.model, data=HolzingerSwineford1939, std.lv=TRUE) gl_fits <- blavFitIndices(fit) summary(gl_fits, central.tendency = c(\"mean\",\"median\",\"mode\"), prob = .90) ##  ## Posterior summary statistics and highest posterior density (HPD) 90% credible intervals for devm-based fit indices: ##  ##                EAP Median   MAP    SD lower upper ## BRMSEA       0.098  0.097 0.096 0.005 0.089 0.106 ## BGammaHat    0.957  0.957 0.958 0.005 0.950 0.964 ## adjBGammaHat 0.908  0.909 0.912 0.010 0.894 0.924 ## BMc          0.903  0.904 0.906 0.010 0.888 0.919"},{"path":"http://ecmerkle.github.io/blavaan/articles/approx_fi.html","id":"incremental-fit-indices","dir":"Articles","previous_headings":"","what":"Incremental Fit Indices","title":"Approximate fit indices","text":"Another group fit indices compares hypothesized model worst possible model, called incremental indices. indices compare model’s \\(\\chi^2_H\\) null model’s \\(\\chi^2_0\\) different ways. Indices include Comparative Fit Index (CFI), Tucker-Lewis Index (TLI), Normed Fit Index (NFI). estimate indices need defined estimate respective null model. standard null model used default frequentist SEM programs (like lavaan) includes indicators variances intercepts, covariances items. can specify null model including respective indicator variances model syntax, hypothesized null models, pass blavFitIndices function, now provide types fit indices summary() method now presents central tendicy measure asked , standard deviation, credible interval noncentrality incremental fit indices.","code":"HS.model_null <- ' x1 ~~ x1  x2 ~~ x2  x3 ~~ x3 x4 ~~ x4 x5 ~~ x5 x6 ~~ x6 x7 ~~ x7 x8 ~~ x8 x9 ~~ x9 '  fit_null <- bcfa(HS.model_null, data=HolzingerSwineford1939) gl_fits_all <- blavFitIndices(fit, baseline.model = fit_null)  summary(gl_fits_all, central.tendency = c(\"mean\",\"median\",\"mode\"), prob = .90) ##  ## Posterior summary statistics and highest posterior density (HPD) 90% credible intervals for devm-based fit indices: ##  ##                EAP Median   MAP    SD lower upper ## BRMSEA       0.098  0.097 0.096 0.005 0.089 0.106 ## BGammaHat    0.957  0.957 0.958 0.005 0.950 0.964 ## adjBGammaHat 0.908  0.909 0.912 0.010 0.894 0.924 ## BMc          0.903  0.904 0.906 0.010 0.888 0.919 ## BCFI         0.930  0.931 0.933 0.008 0.919 0.942 ## BTLI         0.885  0.886 0.890 0.013 0.866 0.905 ## BNFI         0.910  0.911 0.913 0.007 0.899 0.921"},{"path":"http://ecmerkle.github.io/blavaan/articles/approx_fi.html","id":"access-the-indices-posterior-distributions","dir":"Articles","previous_headings":"","what":"Access the indices posterior distributions","title":"Approximate fit indices","text":"can also extract posterior distributions respective indices, way can explore details. example, diagnostic plots using bayesplot package. saved posterior distributions, can explore histogram scatterplots indices.","code":"dist_fits <- data.frame(gl_fits_all@indices) head(dist_fits) ##       BRMSEA BGammaHat adjBGammaHat       BMc      BCFI      BTLI      BNFI ## 1 0.10451314 0.9508153    0.8961425 0.8901278 0.9209631 0.8693100 0.9008644 ## 2 0.09561025 0.9585050    0.9123800 0.9071880 0.9341382 0.8910956 0.9136208 ## 3 0.09537243 0.9587027    0.9127974 0.9076272 0.9341722 0.8911516 0.9135650 ## 4 0.09316822 0.9605150    0.9166243 0.9116553 0.9369082 0.8956758 0.9161104 ## 5 0.09950950 0.9552061    0.9054141 0.8998632 0.9276337 0.8803400 0.9070844 ## 6 0.10371813 0.9515246    0.8976402 0.8916993 0.9218003 0.8706944 0.9015800 mcmc_pairs(dist_fits, pars = c(\"BRMSEA\",\"BGammaHat\",\"BCFI\",\"BTLI\"),            diag_fun = \"hist\")"},{"path":"http://ecmerkle.github.io/blavaan/articles/approx_fi.html","id":"summary","dir":"Articles","previous_headings":"","what":"Summary","title":"Approximate fit indices","text":"can estimate posterior distributions \\(\\chi^2\\) based global fit indices. Notice presented fit indices based recommended method devM recommended number parameters metric loo. can adjusted user desired. general recommendation prefer \\(\\hat{\\Gamma}\\) CFI, shown less sensitive model data characteristics. defaults recommendations made based previous simulation research. details fit indices please see Garnier-Villarreal Jorgensen (2020).","code":""},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/articles/convergence_efficiency.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Convergence and Efficiency Evaluation","text":"Bayesian models estimated Markov-Chain Monte Carlo (MCMC) sampler, model estimation doesn’t stop achieved convergence criteria. run long desired (determined burnin sample arguments), need evaluate convergence efficiency estimated posterior distributions. analyze results convergence achieved, judged metrics described . example use Industrialization Political Democracy example (Bollen 1989).","code":"model <- '   # latent variable definitions      ind60 =~ x1 + x2 + x3      dem60 =~ a*y1 + b*y2 + c*y3 + d*y4      dem65 =~ a*y5 + b*y6 + c*y7 + d*y8    # regressions     dem60 ~ ind60     dem65 ~ ind60 + dem60    # residual correlations     y1 ~~ y5     y2 ~~ y4 + y6     y3 ~~ y7     y4 ~~ y8     y6 ~~ y8 '  fit <- bsem(model, data=PoliticalDemocracy,             std.lv=T, meanstructure=T, n.chains=3,             burnin=500, sample=1000)"},{"path":"http://ecmerkle.github.io/blavaan/articles/convergence_efficiency.html","id":"convergence","dir":"Articles","previous_headings":"","what":"Convergence","title":"Convergence and Efficiency Evaluation","text":"primary convergence diagnostic \\(\\hat{R}\\), compares - within-chain samples model parameters univariate quantities interest (Vehtari et al. 2021). chains mixed well (ie, - within-chain estimates don’t agree), \\(\\hat{R}\\) larger 1. recommend running least three chains default using posterior samples \\(\\hat{R} < 1.05\\) parameters. blavaan presents \\(\\hat{R}\\) reported underlying MCMC program, either Stan JAGS (Stan default). can obtain \\(\\hat{R}\\) summary() function, can also extract blavInspect() function large models can cumbersome look entries. can instead find largest \\(\\hat{R}\\) see less \\(1.05\\) \\(\\hat{R} < 1.05\\) can establish MCMC chains converged stable solution. model converged, might increase number burnin iterations /change model priors dpriors() function. address issues model failed converge due needing iterations due model misspecification (bad priors). rule thumb, seldom see model require 1,000 burnin samples Stan. model converging 1,000 burnin samples, likely default prior distributions clash data. can happen, e.g., variables contain values 100s 1000s.","code":"blavInspect(fit, \"rhat\") ##   ind60=~x1   ind60=~x2   ind60=~x3           a           b           c  ##   1.0014006   1.0011580   1.0005769   1.0005295   0.9997677   0.9995399  ##           d           a           b           c           d dem60~ind60  ##   0.9994064   1.0005295   0.9997677   0.9995399   0.9994064   0.9994274  ## dem65~ind60 dem65~dem60      y1~~y5      y2~~y4      y2~~y6      y3~~y7  ##   0.9995484   1.0001454   1.0005090   0.9998853   0.9999716   1.0006563  ##      y4~~y8      y6~~y8      x1~~x1      x2~~x2      x3~~x3      y1~~y1  ##   1.0021945   1.0000278   1.0024287   1.0035860   0.9999500   1.0010157  ##      y2~~y2      y3~~y3      y4~~y4      y5~~y5      y6~~y6      y7~~y7  ##   1.0004586   0.9994443   0.9995825   1.0013283   0.9994064   0.9992459  ##      y8~~y8        x1~1        x2~1        x3~1        y1~1        y2~1  ##   1.0009228   1.0010233   1.0011289   0.9996224   1.0006705   1.0008619  ##        y3~1        y4~1        y5~1        y6~1        y7~1        y8~1  ##   1.0012345   1.0011861   1.0006404   1.0008963   1.0011839   1.0007343 max(blavInspect(fit, \"psrf\")) ## [1] 1.003586 fit <- bsem(model, data=PoliticalDemocracy,             std.lv=T, meanstructure=T, n.chains=3,             burnin=1000, sample=1000)"},{"path":"http://ecmerkle.github.io/blavaan/articles/convergence_efficiency.html","id":"efficiency","dir":"Articles","previous_headings":"","what":"Efficiency","title":"Convergence and Efficiency Evaluation","text":"also evaluate efficiency posterior samples. Effective sample size (ESS) useful measure sampling efficiency, well defined even chains finite mean variance (Vehtari et al. 2021). short, posterior samples produced MCMC autocorrelated. means , draw 500 posterior samples, 500 independent pieces information posterior distribution, samples autocorlated. ESS metric like currency conversion, telling much autocorrelated samples worth convert indepndent samples. blavaan can print summary function neff argument can also extract blavInspect() function ESS sample size, least 100 (optimally, much 100) times number chains order reliable indicate estimates posterior quantiles reliable. example, 3 chains, want see least neff=300 every parameter. can easily find lowest ESS min() function:","code":"summary(fit, neff=T) blavInspect(fit, \"neff\") ##   ind60=~x1   ind60=~x2   ind60=~x3           a           b           c  ##    1620.738    1659.473    1850.058    2092.912    2499.271    2394.020  ##           d           a           b           c           d dem60~ind60  ##    2189.776    2092.912    2499.271    2394.020    2189.776    2769.447  ## dem65~ind60 dem65~dem60      y1~~y5      y2~~y4      y2~~y6      y3~~y7  ##    3056.842    2833.856    2146.119    2839.084    3282.651    2715.383  ##      y4~~y8      y6~~y8      x1~~x1      x2~~x2      x3~~x3      y1~~y1  ##    2422.466    1926.518    2376.021    1768.429    2965.694    2224.669  ##      y2~~y2      y3~~y3      y4~~y4      y5~~y5      y6~~y6      y7~~y7  ##    3209.671    3145.758    2481.298    2185.735    2762.963    2634.575  ##      y8~~y8        x1~1        x2~1        x3~1        y1~1        y2~1  ##    1883.409    1297.194    1282.805    1386.785    1476.912    1801.187  ##        y3~1        y4~1        y5~1        y6~1        y7~1        y8~1  ##    1791.466    1425.021    1395.915    1571.654    1363.895    1327.086 min(blavInspect(fit, \"neff\")) ## [1] 1282.805"},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/articles/convergence_loop.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Convergence loop","text":"many cases need run BSEM models multiple times converged. can take might want R . tutorial shows use loop increase number burnin samples model converges, can let run without adjust every time","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/convergence_loop.html","id":"convergence-loop","dir":"Articles","previous_headings":"","what":"Convergence loop","title":"Convergence loop","text":"start writing model syntax always. instead running blavaan functions usual, run inside loop follows. loop starts need define starting BURN <- 0 number iterations, convergence value higher desired rhat <- 20. loop set sto stop convergence criteria (rhat) lower desired value, like \\(\\hat{R} < 1.05\\), specify (rhat > 1.05), meaning loop continue long rhat higher 1.05. Thn inside loop increase number BURN iterations 1000 example. estimating model, evaluate convergence getting highest estimated \\(\\hat{R}\\), printing screen see far model converging. Note increasing number burnin iterations, keeping number saved samples (1000 case). want can increase decrease number saved iterations according case. can visualize convergence trace plots","code":"HS.model <- ' visual  =~ x1 + x2 + x3               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9 '  BURN <- 0 rhat <- 20 while(rhat > 1.05) {      BURN <- BURN + 1000 ### increase burn in by 1000 iterations every time      fit <- bcfa(HS.model, std.lv=T,                data=HolzingerSwineford1939,                n.chains = 3, burnin = BURN,               sample=1000)   rhat <- max(blavInspect(fit, \"psrf\"), na.rm=T)   print(paste0(\"Rhat=\",rhat))   } print(paste0(\"Rhat=\",rhat)) ## [1] \"Rhat=1.00113277130501\" plot(fit, pars = 1:9, plot.type = \"trace\")"},{"path":"http://ecmerkle.github.io/blavaan/articles/convergence_loop.html","id":"convergence-criteria","dir":"Articles","previous_headings":"","what":"Convergence criteria","title":"Convergence loop","text":"example use \\(\\hat{R} < 1.05\\) convergence criteria. recommend use \\(\\hat{R} < 1.01\\) convergence criteria, higher. \\(\\hat{R}\\) approximates 1, can argue model converged estimates achieve stability within chains (Gelman et al. 2014)","code":""},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/articles/cross_loadings_strong_priors.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Cross-loadings with strong priors","text":"advantage BSEM can use priors set soft constraints model, estimating parameter strong prior. way parameter estimated, prior restrict possible values. suggested Muthén Asparouhov (2012), way estimate possible cross-loadings CFA. way, posterior distribution restricted parameters includes values outside strong prior, can interpreted model modification. means parameters less restricted, prior distribution relaxed. tutorial present estimate CFA possible cross-loadings restricted strong priors.","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/cross_loadings_strong_priors.html","id":"cross-loadings","dir":"Articles","previous_headings":"","what":"Cross-loadings","title":"Cross-loadings with strong priors","text":"show example Holzinger Swineford (1939) data. First estimate regular model cross-loadings default priors. can see overall model results summary() function, looking posterior distribution factor loadings, correlations, intercepts variances. Next, add possible cross-loadings strong prior \\(N(0, \\sigma = 0.08)\\). prior centers loadings around 0 allows little space move. can look summary() model evaluate cross-loadings. can specifically see whether cross-loadings seem large enough suggest kept model, looking posterior mean (Estimate) credible interval. suggest simply look whether CI excludes 0 (similar null hypothesis), evaluate whether minimum value CI (value closer 0) far enough away 0 relavant instead just different 0.","code":"HS.model <- ' visual  =~ x1 + x2 + x3               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9 '  fit_df <- bcfa(HS.model, data=HolzingerSwineford1939,              std.lv=TRUE, meanstructure=T) summary(fit_df) ## blavaan 0.5.2.1207 ended normally after 1000 iterations ##  ##   Estimator                                      BAYES ##   Optimization method                             MCMC ##   Number of model parameters                        30 ##  ##   Number of observations                           301 ##  ##   Statistic                                 MargLogLik         PPP ##   Value                                      -3870.899       0.000 ##  ## Parameter Estimates: ##  ##  ## Latent Variables: ##                    Estimate  Post.SD pi.lower pi.upper     Rhat    Prior        ##   visual =~                                                                     ##     x1                0.910    0.089    0.742    1.095    1.001    normal(0,10) ##     x2                0.501    0.084    0.339    0.666    1.001    normal(0,10) ##     x3                0.661    0.083    0.501    0.817    1.000    normal(0,10) ##   textual =~                                                                    ##     x4                1.002    0.058    0.896    1.121    0.999    normal(0,10) ##     x5                1.114    0.063    0.995    1.238    1.000    normal(0,10) ##     x6                0.926    0.055    0.823    1.037    1.000    normal(0,10) ##   speed =~                                                                      ##     x7                0.614    0.075    0.462    0.759    0.999    normal(0,10) ##     x8                0.732    0.079    0.577    0.887    1.002    normal(0,10) ##     x9                0.680    0.080    0.530    0.837    1.002    normal(0,10) ##  ## Covariances: ##                    Estimate  Post.SD pi.lower pi.upper     Rhat    Prior        ##   visual ~~                                                                     ##     textual           0.449    0.065    0.313    0.569    1.000     lkj_corr(1) ##     speed             0.462    0.083    0.298    0.621    1.000     lkj_corr(1) ##   textual ~~                                                                    ##     speed             0.280    0.072    0.131    0.416    0.999     lkj_corr(1) ##  ## Intercepts: ##                    Estimate  Post.SD pi.lower pi.upper     Rhat    Prior        ##    .x1                4.935    0.067    4.806    5.067    1.000    normal(0,32) ##    .x2                6.086    0.067    5.954    6.217    1.000    normal(0,32) ##    .x3                2.251    0.065    2.121    2.381    1.000    normal(0,32) ##    .x4                3.061    0.068    2.927    3.192    1.000    normal(0,32) ##    .x5                4.340    0.075    4.192    4.491    1.000    normal(0,32) ##    .x6                2.186    0.065    2.059    2.316    1.000    normal(0,32) ##    .x7                4.185    0.063    4.062    4.311    1.000    normal(0,32) ##    .x8                5.527    0.059    5.409    5.641    1.001    normal(0,32) ##    .x9                5.374    0.058    5.259    5.488    1.000    normal(0,32) ##     visual            0.000                                                     ##     textual           0.000                                                     ##     speed             0.000                                                     ##  ## Variances: ##                    Estimate  Post.SD pi.lower pi.upper     Rhat    Prior        ##    .x1                0.554    0.131    0.273    0.804    1.000 gamma(1,.5)[sd] ##    .x2                1.152    0.109    0.955    1.377    1.000 gamma(1,.5)[sd] ##    .x3                0.859    0.102    0.671    1.074    1.000 gamma(1,.5)[sd] ##    .x4                0.379    0.050    0.286    0.479    1.001 gamma(1,.5)[sd] ##    .x5                0.454    0.060    0.343    0.580    0.999 gamma(1,.5)[sd] ##    .x6                0.363    0.045    0.279    0.456    1.000 gamma(1,.5)[sd] ##    .x7                0.822    0.091    0.655    1.012    0.999 gamma(1,.5)[sd] ##    .x8                0.503    0.097    0.321    0.693    1.000 gamma(1,.5)[sd] ##    .x9                0.567    0.099    0.361    0.752    1.001 gamma(1,.5)[sd] ##     visual            1.000                                                     ##     textual           1.000                                                     ##     speed             1.000 HS.model.cl<-' visual  =~ x1 + x2 + x3               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9                     ## Cross-loadings               visual =~  prior(\"normal(0,.08)\")*x4 + prior(\"normal(0,.08)\")*x5 + prior(\"normal(0,.08)\")*x6 + prior(\"normal(0,.08)\")*x7 + prior(\"normal(0,.08)\")*x8 + prior(\"normal(0,.08)\")*x9               textual =~ prior(\"normal(0,.08)\")*x1 + prior(\"normal(0,.08)\")*x2 + prior(\"normal(0,.08)\")*x3 + prior(\"normal(0,.08)\")*x7 + prior(\"normal(0,.08)\")*x8 + prior(\"normal(0,.08)\")*x9                speed =~ prior(\"normal(0,.08)\")*x1 + prior(\"normal(0,.08)\")*x2 + prior(\"normal(0,.08)\")*x3 + prior(\"normal(0,.08)\")*x4 + prior(\"normal(0,.08)\")*x5 + prior(\"normal(0,.08)\")*x6'  fit_cl <- bcfa(HS.model.cl, data=HolzingerSwineford1939,              std.lv=TRUE, meanstructure=T) summary(fit_cl) ## blavaan 0.5.2.1207 ended normally after 1000 iterations ##  ##   Estimator                                      BAYES ##   Optimization method                             MCMC ##   Number of model parameters                        48 ##  ##   Number of observations                           301 ##  ##   Statistic                                 MargLogLik         PPP ##   Value                                      -3858.783       0.134 ##  ## Parameter Estimates: ##  ##  ## Latent Variables: ##                    Estimate  Post.SD pi.lower pi.upper     Rhat    Prior        ##   visual =~                                                                     ##     x1                0.761    0.099    0.574    0.959    1.001    normal(0,10) ##     x2                0.567    0.093    0.390    0.751    1.000    normal(0,10) ##     x3                0.769    0.097    0.586    0.964    1.000    normal(0,10) ##   textual =~                                                                    ##     x4                0.983    0.064    0.861    1.110    1.000    normal(0,10) ##     x5                1.155    0.071    1.014    1.298    1.000    normal(0,10) ##     x6                0.894    0.060    0.781    1.018    1.000    normal(0,10) ##   speed =~                                                                      ##     x7                0.728    0.086    0.554    0.892    1.003    normal(0,10) ##     x8                0.792    0.085    0.636    0.973    1.008    normal(0,10) ##     x9                0.542    0.076    0.394    0.695    1.004    normal(0,10) ##   visual =~                                                                     ##     x4                0.032    0.058   -0.080    0.148    0.999   normal(0,.08) ##     x5               -0.073    0.062   -0.193    0.050    0.999   normal(0,.08) ##     x6                0.063    0.055   -0.047    0.171    1.000   normal(0,.08) ##     x7               -0.130    0.065   -0.259   -0.004    1.003   normal(0,.08) ##     x8               -0.005    0.067   -0.138    0.124    0.999   normal(0,.08) ##     x9                0.193    0.060    0.075    0.309    1.000   normal(0,.08) ##   textual =~                                                                    ##     x1                0.111    0.065   -0.019    0.237    1.000   normal(0,.08) ##     x2                0.007    0.059   -0.110    0.130    0.999   normal(0,.08) ##     x3               -0.084    0.063   -0.212    0.037    1.000   normal(0,.08) ##     x7                0.015    0.062   -0.111    0.135    1.000   normal(0,.08) ##     x8               -0.039    0.062   -0.161    0.082    0.999   normal(0,.08) ##     x9                0.032    0.054   -0.077    0.135    1.000   normal(0,.08) ##   speed =~                                                                      ##     x1                0.042    0.065   -0.081    0.172    1.000   normal(0,.08) ##     x2               -0.048    0.063   -0.172    0.076    1.000   normal(0,.08) ##     x3                0.027    0.064   -0.097    0.149    1.000   normal(0,.08) ##     x4               -0.006    0.056   -0.116    0.104    1.001   normal(0,.08) ##     x5                0.005    0.061   -0.114    0.123    1.000   normal(0,.08) ##     x6               -0.001    0.053   -0.103    0.106    1.000   normal(0,.08) ##  ## Covariances: ##                    Estimate  Post.SD pi.lower pi.upper     Rhat    Prior        ##   visual ~~                                                                     ##     textual           0.374    0.095    0.186    0.549    1.000     lkj_corr(1) ##     speed             0.353    0.111    0.125    0.559    1.000     lkj_corr(1) ##   textual ~~                                                                    ##     speed             0.259    0.103    0.044    0.451    1.000     lkj_corr(1) ##  ## Intercepts: ##                    Estimate  Post.SD pi.lower pi.upper     Rhat    Prior        ##    .x1                4.937    0.068    4.804    5.070    0.999    normal(0,32) ##    .x2                6.087    0.066    5.961    6.213    0.999    normal(0,32) ##    .x3                2.251    0.067    2.119    2.385    1.000    normal(0,32) ##    .x4                3.063    0.066    2.931    3.191    1.000    normal(0,32) ##    .x5                4.342    0.074    4.193    4.481    1.000    normal(0,32) ##    .x6                2.188    0.063    2.061    2.307    0.999    normal(0,32) ##    .x7                4.187    0.064    4.060    4.312    1.000    normal(0,32) ##    .x8                5.529    0.060    5.410    5.649    0.999    normal(0,32) ##    .x9                5.374    0.060    5.257    5.492    1.000    normal(0,32) ##     visual            0.000                                                     ##     textual           0.000                                                     ##     speed             0.000                                                     ##  ## Variances: ##                    Estimate  Post.SD pi.lower pi.upper     Rhat    Prior        ##    .x1                0.677    0.107    0.457    0.885    1.001 gamma(1,.5)[sd] ##    .x2                1.090    0.107    0.897    1.307    1.000 gamma(1,.5)[sd] ##    .x3                0.718    0.114    0.497    0.938    1.000 gamma(1,.5)[sd] ##    .x4                0.388    0.051    0.289    0.490    0.999 gamma(1,.5)[sd] ##    .x5                0.411    0.065    0.291    0.543    1.000 gamma(1,.5)[sd] ##    .x6                0.372    0.044    0.290    0.461    0.999 gamma(1,.5)[sd] ##    .x7                0.714    0.099    0.524    0.914    1.002 gamma(1,.5)[sd] ##    .x8                0.434    0.100    0.218    0.609    1.015 gamma(1,.5)[sd] ##    .x9                0.589    0.067    0.461    0.726    1.003 gamma(1,.5)[sd] ##     visual            1.000                                                     ##     textual           1.000                                                     ##     speed             1.000"},{"path":"http://ecmerkle.github.io/blavaan/articles/cross_loadings_strong_priors.html","id":"caveats","dir":"Articles","previous_headings":"","what":"Caveats","title":"Cross-loadings with strong priors","text":"model possible cross-loadings kept final analysis model, used step make decisions model changes. two main reasons, (1) model overfitted present good overall fit just due inclusion lot nuisance parameters. example posterior predictive p-value goes ppp = 0 ppp = 0.134, model better theoretically inflating model fit. (2), addition small-variance priors can prevent detection important misspecifications Bayesian confirmatory factor analysis, can obscure underlying problems model diluting large number nuisance parameters (Jorgensen et al. 2019).","code":""},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/articles/estimate.html","id":"primary-arguments","dir":"Articles","previous_headings":"","what":"Primary arguments","title":"Model Estimation","text":"Primary arguments model estimation commands include burnin, sample, n.chains, target. burnin sample arguments used specify desired number burn-iterations posterior samples n.chains chains (burnin argument controls warm-iterations Stan). target argument, hand, used specify MCMC strategy used estimation. default, target = \"stan\", tends fastest efficient. options slightly flexible, including target = \"stanclassic\" target = \"jags\". approaches sample latent variables model parameters, whereas target = \"stan\" marginalizes latent variables. detail approaches, see JSS paper.","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/estimate.html","id":"secondary-arguments","dir":"Articles","previous_headings":"","what":"Secondary arguments","title":"Model Estimation","text":"Noteworthy secondary arguments include save.lvs, mcmcfile, mcmcextra, inits. save.lvs argument controls whether latent variables sampled model estimation. defaults FALSE latent variable sampling can take large amount memory, can slow post-estimation summaries. setting save.lvs = TRUE allows model summaries latent variables observed variable predictions using blavPredict() functions. setting mcmcfile = TRUE, users can obtain Stan (JAGS) code data specified model. files written lavExport folder within user’s working directory. One file extension .jag .stan, second file R data file (extension .rda). rda file can loaded R (via load()) list including elements data, monitors, inits. elements can supplied stan() model estimation outside blavaan. mcmcextra argument used supply extra information Stan JAGS. Users can supply list element names monitor, data, syntax, llnsamp. elements respectively used specify extra parameters monitor, extra data pass model estimation, extra syntax include model file (JAGS ), number importance samples likelihood approximation (relevant models ordinal variables). inits argument used control starting values MCMC estimation. can sometimes salvage model immediately crashes. default, inits = \"simple\", initializes model parameters 0 1 fashion similar lavaan’s use argument. second option, inits = \"prior\", draws initial values prior distributions. user can also specify list initial values via argument, though required list format somewhat cumbersome. recommend exporting model data using mcmcfile = TRUE, loading resulting rda file, looking format initial values blavaan created .","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/estimate.html","id":"parallelization","dir":"Articles","previous_headings":"","what":"Parallelization","title":"Model Estimation","text":"Speed always issue sample via MCMC, especially using software like Stan JAGS. computers multiple cores, estimation can sped sending MCMC chain separate core. accomplished bcontrol argument, list whose elements correspond stan() run.jags() arguments. parallelizing chains Stan, want use argument bcontrol = list(cores = 3). Many arguments available control aspects estimation; see ?stan ?run.jags possibilities. Parallelization can also helpful speed post-estimation computations. future package controls parallelization, requires extra command prior estimation. common commands ","code":"library(\"future\") plan(\"multicore\") ## mac or linux plan(\"multisession\") ## windows"},{"path":"http://ecmerkle.github.io/blavaan/articles/invariance.html","id":"model-estimation","dir":"Articles","previous_headings":"","what":"Model Estimation","title":"Measurement Invariance","text":"Consider measurement invariance study Holzinger Swineford (1939) data. lavaan, may first estimate two models: examine absolute fit fit1. also compare fit2 fit1 via Likelihood Ratio Test. Instead , wish something similar via Bayesian methods. accomplish via blavaan, can fit Bayesian versions fit1 fit2 using similar syntax. Model fit comparison statistics available via fitMeasures() blavCompare() functions:","code":"HS.model <- ' visual  =~ x1 + x2 + x3               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9 '  fit1 <- cfa(HS.model, data = HolzingerSwineford1939, group = \"school\")  fit2 <- cfa(HS.model, data = HolzingerSwineford1939, group = \"school\",             group.equal = \"loadings\") bfit1 <- bcfa(HS.model, data = HolzingerSwineford1939, group = \"school\")  bfit2 <- bcfa(HS.model, data = HolzingerSwineford1939, group = \"school\",                group.equal = \"loadings\") fitMeasures(bfit1)  fitMeasures(bfit2)  blavCompare(bfit1, bfit2)"},{"path":"http://ecmerkle.github.io/blavaan/articles/invariance.html","id":"approximate-invariance","dir":"Articles","previous_headings":"","what":"Approximate Invariance","title":"Measurement Invariance","text":"approximate measurement invariance studies, replace hard equality constraints soft constraints using informative prior distributions. wiggle argument can used invoke types constraints. example: constrains loadings associated x2 x3 approximately equal across groups, informative priors associated constraints normal standard deviations 0.05. Using strategy, syntax can become cumbersome. many cases, group.equal argument can help . example: example, model intercepts loadings across-group constraints. loadings approximately equal across groups, due argument wiggle = \"loadings\". intercepts constrained exactly equal across groups. way, becomes easy use exact approximate equality constraints model, desired.","code":"HS.model <- ' visual  =~ x1 + c(\"a\", \"a\")*x2 + c(\"b\", \"b\")*x3               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9 '  bfit3 <- bcfa(HS.model, data = HolzingerSwineford1939, group = \"school\", wiggle = c(\"a\", \"b\"),               wiggle.sd = 0.05) HS.model <- ' visual  =~ x1 + x2 + x3               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9 '       bfit4 <- bcfa(HS.model, data = HolzingerSwineford1939, group = \"school\",               group.equal = c(\"intercepts\", \"loadings\"), wiggle = \"loadings\",               wiggle.sd = 0.05)"},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/articles/mod_indices.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Modification indices","text":"SEM, one first steps evaluate model’s global fit. global fit, need evaluate local fit model, meaning model reproduces specific correlations observed variables. couple common methods , () testing high residual correlations, (b) modification indices. tutorial focuses second. Modification indices test likely change model fit single parameter added model originally included. test can carried every possible parameter included (Bentler 1990).","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/mod_indices.html","id":"modification-indices","dir":"Articles","previous_headings":"","what":"Modification Indices","title":"Modification indices","text":"Modification indices present different indices quantify effect parameter, focus two . () modification index (MI) Lagrange multiplier, estimates extent model’s chi-square (\\(\\chi^2\\)) test statistic decrease parameter added model freely estimated, (b) standardized expected parameter change (SEPC), approximated standardized value parameter estimated model (Whittaker 2012). MI presents possible effect overall model, SEPC presents effect size missed parameter. show example Holzinger Swineford (1939) model. first estimate SEM/CFA model usual need write discrepancy function collect modification indices. list contains two functions estimate save MI SEPC. pass function ppmc() function blavaan. function, MI SEPC computed posterior sample, leading posterior distributions . view top 5 parameters arrange posterior mean (EAP) MI, case shows parameter highest impact overall model fit (according EAP) visual=~x9, cross-loading Visual factor item x9. according posterior median, parameter highest impact residual correlation indicators x7 x8 MI still recommended best metric indicate parameter best include next, can use SEPC evaluate likely effect size respective parameters. see 2 highest parameters, likely SEPC x7~~x8 = 0.799229902211115 visual=~x9 = 0.518551878229323. information can decide include one new parameters model (one time). example, factor loadings larger impact model-implied covariance matrix, choose visual=~x9 can check added parameter expected impact overall fit blavFitIndices() summary() functions. important consider also theoretical relevance suggested parameters, ensure make sense, instead just adding parameters good fit.","code":"HS.model <- ' visual  =~ x1 + x2 + x3               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9 '  fit <- bcfa(HS.model, data=HolzingerSwineford1939, std.lv=TRUE) discFUN <- list(   mod.ind_mi = function(object){     temp <- modificationindices(object, free.remove = F)     mods <- temp$mi     names(mods) <- paste0(temp$lhs, temp$op, temp$rhs)     return(mods)   },   mod.ind_sepc.all = function(object){     temp <- modificationindices(object, free.remove = F)     sepc.all <- temp$sepc.all     names(sepc.all) <- paste0(temp$lhs, temp$op, temp$rhs)     return(sepc.all)   } ) out <- ppmc(fit, discFUN = discFUN) summary(out, prob=.9, discFUN = \"mod.ind_mi\", sort.by=\"EAP\", decreasing=T)[1:5,] ##  ## Posterior summary statistics and highest posterior density (HPD) 90% credible intervals for the posterior distribution of realized discrepancy-function values based on observed data, along with posterior predictive p values to test hypotheses in either direction: ##  ##  ##               EAP Median    MAP     SD  lower  upper PPP_sim_GreaterThan_obs ## visual=~x9 35.353 35.458 35.495 10.624 17.727 52.239                   0.009 ## x7~~x8     32.891 35.539 39.626 14.716  4.604 52.733                   0.087 ## x8~~x9     27.117 12.160  2.726 42.978  0.000 70.495                   0.322 ## x4~~x6     19.784  7.015  1.388 36.713  0.000 52.503                   0.457 ## visual=~x7 18.162 16.144 12.432  9.849  4.183 33.098                   0.011 ##            PPP_sim_LessThan_obs ## visual=~x9                0.991 ## x7~~x8                    0.913 ## x8~~x9                    0.678 ## x4~~x6                    0.543 ## visual=~x7                0.989 summary(out, prob=.9, discFUN = \"mod.ind_mi\", sort.by=\"Median\", decreasing=T)[1:5,] ##  ## Posterior summary statistics and highest posterior density (HPD) 90% credible intervals for the posterior distribution of realized discrepancy-function values based on observed data, along with posterior predictive p values to test hypotheses in either direction: ##  ##  ##                EAP Median    MAP     SD  lower  upper PPP_sim_GreaterThan_obs ## x7~~x8      32.891 35.539 39.626 14.716  4.604 52.733                   0.087 ## visual=~x9  35.353 35.458 35.495 10.624 17.727 52.239                   0.009 ## visual=~x7  18.162 16.144 12.432  9.849  4.183 33.098                   0.011 ## x8~~x9      27.117 12.160  2.726 42.978  0.000 70.495                   0.322 ## textual=~x1 11.011  9.976  5.705  8.318  0.000 22.179                   0.223 ##             PPP_sim_LessThan_obs ## x7~~x8                     0.913 ## visual=~x9                 0.991 ## visual=~x7                 0.989 ## x8~~x9                     0.678 ## textual=~x1                0.777 summary(out, prob=.9, discFUN = \"mod.ind_sepc.all\", sort.by=\"EAP\", decreasing=T)[1:5,] ##  ## Posterior summary statistics and highest posterior density (HPD) 90% credible intervals for the posterior distribution of realized discrepancy-function values based on observed data, along with posterior predictive p values to test hypotheses in either direction: ##  ##  ##               EAP Median   MAP    SD lower upper PPP_sim_GreaterThan_obs ## x7~~x8      0.799  0.790 0.742 0.383 0.487 1.274                   0.050 ## visual=~x9  0.519  0.494 0.466 0.132 0.334 0.688                   0.005 ## textual=~x1 0.272  0.298 0.314 0.175 0.036 0.513                   0.139 ## x1~~x9      0.247  0.247 0.248 0.037 0.198 0.299                   0.018 ## x2~~x3      0.223  0.223 0.219 0.037 0.171 0.282                   0.022 ##             PPP_sim_LessThan_obs ## x7~~x8                     0.950 ## visual=~x9                 0.995 ## textual=~x1                0.861 ## x1~~x9                     0.982 ## x2~~x3                     0.978 HS.model <- ' visual  =~ x1 + x2 + x3 + x9               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9 '  fit2 <- bcfa(HS.model, data=HolzingerSwineford1939, std.lv=TRUE)"},{"path":"http://ecmerkle.github.io/blavaan/articles/mod_indices.html","id":"summary","dir":"Articles","previous_headings":"","what":"Summary","title":"Modification indices","text":"tutorial show calculate MI SEPC across posterior distributions, evaluate parameters can added. ppmc() function able calculate relevant information model estimation, build posterior distributions . general recommendations use MI identify likely parameter add, SEPC effect size new parameter.","code":""},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/articles/model_comparison.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Model Comparison","text":"traditional method model comparison frequentist SEM (fSEM) \\(\\chi^2\\) (Likelihood Ratio Test) variations. BSEM, take Bayesian model comparison methods, apply SEM. Specifically, focus two information criteria, (1) Widely Applicable Information Criterion (WAIC), (2) Leave-One-cross-validation (LOO). methods intend evaluate --sample predictive accuracy models, compare performance. ability predict datapoint hasn’t used training model (McElreath 2020) example use Industrialization Political Democracy example (Bollen 1989).","code":"model <- '   # latent variable definitions      ind60 =~ x1 + x2 + x3      dem60 =~ a*y1 + b*y2 + c*y3 + d*y4      dem65 =~ a*y5 + b*y6 + c*y7 + d*y8    # regressions     dem60 ~ ind60     dem65 ~ ind60 + dem60    # residual correlations     y1 ~~ y5     y2 ~~ y4 + y6     y3 ~~ y7     y4 ~~ y8     y6 ~~ y8 '  fit1 <- bsem(model, data=PoliticalDemocracy,             std.lv=T, meanstructure=T, n.chains=3,             burnin=500, sample=1000)"},{"path":"http://ecmerkle.github.io/blavaan/articles/model_comparison.html","id":"widely-applicable-information-criterion","dir":"Articles","previous_headings":"","what":"Widely Applicable Information Criterion","title":"Model Comparison","text":"WAIC (Watanabe 2010) can seen fully Bayesian generalization Akaike Information Criteria (AIC), measure uncertainty/information model prediction row data across posterior draws. Log-Pointwise-Predictive-Density (lppd). WAIC defined \\[\\begin{equation} WAIC= -2lppd + 2efp_{WAIC}, \\end{equation}\\] first term involves log-likelihoods observed data (marginal latent variables) second term effective number parameters. first term, \\(lppd\\), estimated : \\[\\begin{equation} \\widehat{lppd} = \\sum^{n}_{= 1} log \\Bigg(\\frac{1}{S}\\sum^{S}_{S=1}f(y_{}|\\theta^{S}) \\Bigg) \\end{equation}\\] \\(S\\) number posterior draws \\(f(y_{}|\\theta^{S})\\) density observation \\(\\) respect parameter sampled iteration \\(s\\). effective number parameter (\\(efp_{WAIC}\\)) calculated : \\[\\begin{equation}\\label{eq:efpWAIC} efp_{WAIC} = \\sum^n_{=1}var_{s}(logf(y_{}|\\theta)) \\end{equation}\\] separate variance estimated observation \\(\\) across \\(S\\) posterior draws.","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/model_comparison.html","id":"leave-one-out-cross-validation","dir":"Articles","previous_headings":"","what":"Leave-One-Out cross-validation","title":"Model Comparison","text":"LOO measures predictive density observation holding one observation time use rest observations update prior. estimation calculated via (Vehtari, Gelman, Gabry 2017): \\[\\begin{equation}     LOO = -2\\sum_{=1}^{n} log \\Bigg(\\frac{\\sum^{S}_{s =1} w^{s}_{}f(y_{}|\\theta^{s})}{\\sum^{s}_{s=1} w^{s}_{}}\\Bigg) \\end{equation}\\] \\(w^s_{}\\) Pareto-smoothed sampling weights based relative magnitude individual \\(\\) density function across \\(S\\) posterior samples. LOO effective number parameters involves \\(lppd\\) term WAIC: \\[\\begin{equation}     efp_{LOO} = lppd + LOO/2 \\end{equation}\\]","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/model_comparison.html","id":"model-comparison","dir":"Articles","previous_headings":"","what":"Model comparison","title":"Model Comparison","text":"WAIC LOO approximate models’ performance across posterior draws, able calculate standard error model comparisons involving . model differences estimate differences across Expected Log-Pointwise-Predictive-Density (elpd), standard error respective difference. clear cutoff rules interpret present comparisons, researchers need use expert knowledge part decision process. best recommendation present differences elpd \\(\\Delta elpd\\), standard error, ratio . ratio least 2 can consider evidence differences models, ratio 4 considered stronger evidence. first example, compare standard political democracy model, model factor regressions fixed 0. 2 models, can compare blavCompare looking comparison object, can see WAIC, LOO, estimates, respective differences . information criteria, best model one lowest value case can see model 1 lower LOOIC, ratio shows LOO differences 5 SE magnitude. indicates model estimated regressions better Now, lets look example smaller difference models, smallest regression (dem65~ind60) fixed 0. see LOOIC, see difference two models minimal, ratio 0.21. indicates models functionally equivalent. case like , researchers decide model better representation, theoretically stronger. Lets one last model, largest regression (dem65~dem60) fixed 0. case, looking LOOIC, see model one better (lower value), ratio difference shows model 5 SE magnitude. Indicating evidence model predictive differences","code":"model <- '   # latent variable definitions      ind60 =~ x1 + x2 + x3      dem60 =~ a*y1 + b*y2 + c*y3 + d*y4      dem65 =~ a*y5 + b*y6 + c*y7 + d*y8    # regressions     dem60 ~ 0*ind60     dem65 ~ 0*ind60 + 0*dem60    # residual correlations     y1 ~~ y5     y2 ~~ y4 + y6     y3 ~~ y7     y4 ~~ y8     y6 ~~ y8 '  fit2 <- bsem(model, data=PoliticalDemocracy,             std.lv=T, meanstructure=T, n.chains=3,             burnin=500, sample=1000) bc12 <- blavCompare(fit1, fit2) bc12 ## $bf ##   bf mll1 mll2  ##   NA   NA   NA  ##  ## $loo ## $loo[[1]] ##             Estimate        SE ## elpd_loo -1606.38004 19.551291 ## p_loo       37.79584  2.944453 ## looic     3212.76009 39.102582 ##  ## $loo[[2]] ##             Estimate        SE ## elpd_loo -1647.17715 18.889934 ## p_loo       34.77325  2.728098 ## looic     3294.35430 37.779868 ##  ##  ## $diff_loo ##  elpd_diff    se_diff  ## -40.797106   7.952163  ##  ## $waic ## $waic[[1]] ##              Estimate        SE ## elpd_waic -1606.06147 19.510147 ## p_waic       37.47727  2.902579 ## waic       3212.12294 39.020294 ##  ## $waic[[2]] ##              Estimate        SE ## elpd_waic -1646.81151 18.829992 ## p_waic       34.40762  2.651436 ## waic       3293.62303 37.659985 ##  ##  ## $diff_waic ##  elpd_diff    se_diff  ## -40.750042   7.943992 abs(bc12$diff_loo[1] / bc12$diff_loo[2]) ## elpd_diff  ##  5.130315 model <- '   # latent variable definitions      ind60 =~ x1 + x2 + x3      dem60 =~ a*y1 + b*y2 + c*y3 + d*y4      dem65 =~ a*y5 + b*y6 + c*y7 + d*y8    # regressions     dem60 ~ ind60     dem65 ~ 0*ind60 + dem60    # residual correlations     y1 ~~ y5     y2 ~~ y4 + y6     y3 ~~ y7     y4 ~~ y8     y6 ~~ y8 '  fit3 <- bsem(model, data=PoliticalDemocracy,             std.lv=T, meanstructure=T, n.chains=3,             burnin=500, sample=1000) bc13 <- blavCompare(fit1, fit3) bc13 ## $bf ##   bf mll1 mll2  ##   NA   NA   NA  ##  ## $loo ## $loo[[1]] ##             Estimate        SE ## elpd_loo -1606.38004 19.551291 ## p_loo       37.79584  2.944453 ## looic     3212.76009 39.102582 ##  ## $loo[[2]] ##             Estimate        SE ## elpd_loo -1606.13047 19.427593 ## p_loo       37.03577  2.840297 ## looic     3212.26095 38.855185 ##  ##  ## $diff_loo ##  elpd_diff    se_diff  ## -0.2495708  0.9128296  ##  ## $waic ## $waic[[1]] ##              Estimate        SE ## elpd_waic -1606.06147 19.510147 ## p_waic       37.47727  2.902579 ## waic       3212.12294 39.020294 ##  ## $waic[[2]] ##              Estimate        SE ## elpd_waic -1605.96334 19.420647 ## p_waic       36.86864  2.834549 ## waic       3211.92669 38.841293 ##  ##  ## $diff_waic ##   elpd_diff     se_diff  ## -0.09812816  0.92847245 abs(bc13$diff_loo[1] / bc13$diff_loo[2]) ## elpd_diff  ## 0.2734035 model <- '   # latent variable definitions      ind60 =~ x1 + x2 + x3      dem60 =~ a*y1 + b*y2 + c*y3 + d*y4      dem65 =~ a*y5 + b*y6 + c*y7 + d*y8    # regressions     dem60 ~ ind60     dem65 ~ ind60 + 0*dem60    # residual correlations     y1 ~~ y5     y2 ~~ y4 + y6     y3 ~~ y7     y4 ~~ y8     y6 ~~ y8 '  fit4 <- bsem(model, data=PoliticalDemocracy,             std.lv=T, meanstructure=T, n.chains=3,             burnin=500, sample=1000) bc14 <- blavCompare(fit1, fit4) bc14 ## $bf ##   bf mll1 mll2  ##   NA   NA   NA  ##  ## $loo ## $loo[[1]] ##             Estimate        SE ## elpd_loo -1606.38004 19.551291 ## p_loo       37.79584  2.944453 ## looic     3212.76009 39.102582 ##  ## $loo[[2]] ##             Estimate        SE ## elpd_loo -1629.06692 19.877890 ## p_loo       37.54679  2.918891 ## looic     3258.13385 39.755780 ##  ##  ## $diff_loo ##  elpd_diff    se_diff  ## -22.686880   4.119425  ##  ## $waic ## $waic[[1]] ##              Estimate        SE ## elpd_waic -1606.06147 19.510147 ## p_waic       37.47727  2.902579 ## waic       3212.12294 39.020294 ##  ## $waic[[2]] ##              Estimate       SE ## elpd_waic -1628.80026 19.84483 ## p_waic       37.28012  2.87224 ## waic       3257.60052 39.68965 ##  ##  ## $diff_waic ##  elpd_diff    se_diff  ## -22.738787   4.094202 abs(bc14$diff_loo[1] / bc14$diff_loo[2]) ## elpd_diff  ##  5.507293"},{"path":"http://ecmerkle.github.io/blavaan/articles/model_comparison.html","id":"bayes-factor","dir":"Articles","previous_headings":"","what":"Bayes factor","title":"Model Comparison","text":"Bayesian literature use Bayes factor (BF) compare models. number criticisms related use BF BSEM, including (1) BF unstable large models (like SEMs), (2) highly sensitive model priors, (3) requires strong priors stable estimation , (4) can require large number posterior draws, (5) estimation using marginal likelihood ignores lot information posterior distributions. details discussion please see Tendeiro Kiers (2019) Schad et al. (2022). criticisms lead us recommend use BF everyday BSEM estimation. researchers commit prior distributions commit exploring noise computations, BF can used describe relative odds one model another, intuitive model comparison metrics.","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/model_comparison.html","id":"summary","dir":"Articles","previous_headings":"","what":"Summary","title":"Model Comparison","text":"recommend use LOO WAIC general model comparison metrics BSEM. allow us estimate models’ --sample predictive accuracies, respective differences across posterior draws. also provide us uncertainty estimates comparison. cases LOO WAIC lead similar results, LOO recommended stable metric (Vehtari, Gelman, Gabry 2017). general, \\(\\Delta elpd\\) least 2 standard errors preferably 4 standard errors can interpreted evidence differential predictive accuracy.","code":""},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/articles/multilevel.html","id":"blavaan-coverage","dir":"Articles","previous_headings":"","what":"blavaan Coverage","title":"Two-level SEM","text":"version 0.5-1, blavaan handles two-level, random intercept models complete, continuous data. Handling missing data (assuming missingness random) come future release. meantime, multiple imputation might used combination current blavaan functionality (though currently automatic way ). Alternatively, much missing data occurs lower-level units, listwise deletion work. blavaan approach model estimation mimics lavaan approach, uses matrix results (see Rosseel 2021) enable us efficiently evaluate multilevel SEM likelihood. often lead efficient MCMC estimation, compared sampling level 1 level 2 latent variables working conditional likelihoods (see Merkle et al. 2021 discussion marginal vs conditional likelihoods). Similar single-level models, users can sample latent variables using save.lvs = TRUE argument bcfa/bsem/bgrowth/blavaan commands. Marginal information criteria (marginal latent variables) also automatically computed, information criteria generally preferred condition latent variables (see Merkle, Furr, Rabe-Hesketh 2019 detail context single-level models).","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/multilevel.html","id":"bayes-specific-options","dir":"Articles","previous_headings":"","what":"Bayes-specific Options","title":"Two-level SEM","text":"Bayesian models require prior distributions. previous blavaan defaults single-level models now used two-level models. can continue use commands like dpriors(lambda = \"normal(1,.5)\") specify Normal(1,.5) prior factor loadings , two-level models, specification apply level 1 level 2 loadings. Depending model, may also useful specify priors individual parameters via prior() argument inside model specification syntax. default prior distributions always work well observed variables whose values far 0. continue encourage users consider prior distributions, possibly using prisamp = TRUE option draw samples prior (used prior predictive checking). Model checking also differs Bayesian frequentist methods. Just like one-level models, blavaan reports posterior predictive p-value general model assessment. computed comparing marginal likelihood observed data (marginal latent variables) marginal likelihood artificial data, iteration MCMC sampling. finer-grained model assessment, encourage users try ppmc(). allows compute posterior predictive p-value using , custom model assessment (defined R function).","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/multilevel.html","id":"concluding-thoughts","dir":"Articles","previous_headings":"","what":"Concluding Thoughts","title":"Two-level SEM","text":"think new blavaan functionality provides viable option Bayesian two-level SEM, provide solid base future model developments. always, underlying Stan files supporting data available via mcmcfile = TRUE argument, blavaan code available Github. Bug reports appreciated, either blavaan Google group Github issue.","code":""},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/articles/ordinal.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Ordinal Models in blavaan","text":"Structural equation models ordinal observed variables supported starting blavaan 0.4-1 (target=\"stan\" ). document describes overall approach, includes model estimation, threshold parameters, log-likelihood calculation, posterior predictive p-values, Jacobians. assume somewhat familiar layout SEM; , technical detail examples found Merkle Rosseel (2018) , recently, Merkle et al. (2021) (links papers references section). aim provide enough detail elucidate new blavaan features, informal enough get () bored.","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/ordinal.html","id":"estimation","dir":"Articles","previous_headings":"","what":"Estimation","title":"Ordinal Models in blavaan","text":"Ordinal observed variables handled via data augmentation, style Chib Greenberg (1998). might already know , phrase data augmentation imprecise context SEM. many possible things augmented, can make model estimation easier. augmenting observed data predictions missing data, related multiple imputation methods. augmenting observed data latent variables, can simplify likelihood calculation (leading sometimes called conditional likelihood, though conditional also many meanings). augmenting categorical observed variables underlying, latent continuous variables. last type augmentation . testing, found faster efficient approaches sample latent variables alongside model parameters (latent variables integrated likelihoods ; similar description Merkle et al. (2021)). data augmentation implementation, ordinal observation (e.g., \\(y\\)) used generate continuous, underlying counterpart (e.g., \\(y^\\ast\\)). \\(y^\\ast\\) must obey model’s threshold parameters (commonly denoted \\(\\mathbf{\\tau}\\)), based value observed data. example, ignoring subscripts \\(y^\\ast\\) assuming ordinal variable 4 categories, \\[\\begin{align*} y^* < \\tau_1 &\\text{ }y = 1 \\\\ \\tau_1 <\\ y^* < \\tau_2 &\\text{ }y = 2 \\\\ \\tau_2 <\\ y^* < \\tau_3 &\\text{ }y = 3 \\\\ y^* >\\ \\tau_3 &\\text{ }y = 4 \\end{align*}\\] require \\(\\tau_1 < \\tau_2 < \\tau_3\\). generate \\(y^*\\) separately ordinal observation dataset. become additional, bounded parameters Stan file. Stan User’s Guide helpful example multivariate probit regression using related approach; see https://mc-stan.org/docs/2_27/stan-users-guide/multivariate-outcomes.html. trickiest parts involve enforcing boundaries \\(y^*\\) variables, ensuring threshold parameters ordinal variable ordered correctly (allowing possibility different ordinal variables different numbers thresholds). require Jacobian adjustments took good deal time code correctly (detail appears later section). parameters defined generated, remainder model estimation similar simpler situation observed variables continuous. terms Stan file, ordinal overhead comes transformed parameters block. get model block, things operate continuous data.","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/ordinal.html","id":"thresholds-priors","dir":"Articles","previous_headings":"","what":"Thresholds & Priors","title":"Ordinal Models in blavaan","text":"prior distributions threshold (\\(\\tau\\)) parameters involved may appear. , described previous section, threshold parameters single variable must ordered. say, example, thresholds normal(0,1) prior distribution, ignoring fact one threshold’s value influences size thresholds’ values. Michael Betancourt describes Stan Discourse, prior “interacts (ordering) constraint enforce sort uniform repulsion interior points, resulting rigid differences.” quote https://discourse.mc-stan.org/t/prior-choice--ordered-inverse-transformed-parameters/16378/3 address issue, first define unconstrained, unordered parameter vector whose length equals number thresholds model. Call vector \\(\\mathbf{\\tau}^*\\). obtain ordered thresholds exponentiating unordered parameter vector specific manner. manner works exactly Stan defines parameter type ordered. See https://mc-stan.org/docs/2_28/reference-manual/ordered-vector.html. Additionally, similar idea independently developed signal detection models Paulewicz Blaut (2020) (see bhsdtr package). idea easily shown via example. Say ordinal variable 4 categories. three thresholds variable obtained via: \\[\\begin{align*} \\tau_1 &= \\tau^*_1 \\\\ \\tau_2 &= \\tau^*_1 + \\exp(\\tau^*_2) \\\\ \\tau_3 &= \\tau^*_1 + \\exp(\\tau^*_2) + \\exp(\\tau^*_3). \\end{align*}\\] place normal prior distributions unordered \\(\\tau^*\\) parameters, opposed placing priors ordered \\(\\tau\\) parameters. normal priors imply lowest threshold (\\(\\tau_1\\) ) normal prior, differences successive \\(\\tau\\)’s log-normal priors. blavaan, priors can specified usual two ways. First, add dp argument model estimation command follows. assign prior unordered \\(\\tau^*\\) parameters model. Second, specify priors specific threshold parameters model specification syntax. example, say 4-category observed variable called x1. unique priors three thresholds specified model syntax via clear time priors \\(\\tau^*\\) parameters best option. 2019 paper, Michael Betancourt describes Dirichlet prior regularizes thresholds ordinal regression model. strategy seem work SEM, especially useful datasets categories ordinal variable sparse. issues warrant study. https://betanalpha.github.io/assets/case_studies/ordinal_regression.html","code":"dp = dpriors(tau = \"normal(0, .5)\") x1 | prior(\"normal(-1, 1)\") * t1 + prior(\"normal(0, .5)\") * t2 + prior(\"normal(0, 1)\") * t3"},{"path":"http://ecmerkle.github.io/blavaan/articles/ordinal.html","id":"likelihood-computations","dir":"Articles","previous_headings":"","what":"Likelihood Computations","title":"Ordinal Models in blavaan","text":"get continuous data model block, seems reasonable expect simple likelihood computations. depends likelihood want compute. likelihood used sampling Stan simple multivariate normal \\(y^*\\) observations, combined continuous observed variables model. indeed simple compute. likelihood want use model comparison. one thing, \\(y^*\\) parameters associated ordinal data involved likelihood, quantities like effective number parameters become inflated. number parameters involved likelihood also increases sample size, generally bad land model comparison metrics. See Merkle, Furr, Rabe-Hesketh (2019) detail . means , quantities like WAIC PSIS-LOO, must compute second model likelihood involves observed, ordinal \\(y\\) variables integrates latent \\(y^*\\) variables. difficult problem amounts evaluating CDF sometimes-high-dimensional, multivariate normal distribution (see Chib Greenberg 1998, Equation 11). multiple possibilities approximating CDF. currently rely sadmvn() function mnormt package (Azzalini Genz 2020), uses subregion adaptive integration method Genz (1992) fast accurate (15 fewer ordinal variables model). second possibility involves Monte Carlo simulation, implemented tmvnsim package (Bhattacjarjee 2016). case, generate many random samples appropriate truncated multivariate normal average resulting importance sampling weights. procedure computationally intensive also time intensive, balance number random samples drawn amount time takes. users wish use tmvnsim(), must declare number importance samples draw. accomplished setting llnsamp within mcmcextra$data argument. example, draw 100 samples approximation, call bsem() similar functions include argument Beyond two methods, also possible use quadrature latent variables. Many people consider quadrature gold standard , quadrature reduce dimension integration many models (usually fewer latent variables observed variables). quadrature specific SEM, fast, efficient, open implementations method appear currently exist (implementations hidden blavaan, pure R implementations fairly slow). hand, approximation multivariate normal CDF general problem multiple fast, efficient, open implementations, long many ordinal variables model. also exists relatively new method Z. . Botev (2017) evaluating CDF multivariate normal, implementation method appearing package TruncatedNormal (Z. Botev Belzile 2021). method especially useful evaluating high-dimensional normal distributions (case, 15 ordinal variables), may incorporated future versions blavaan.","code":"mcmcextra = list(data = list(llnsamp = 100))"},{"path":"http://ecmerkle.github.io/blavaan/articles/ordinal.html","id":"comparison-to-lavaan","dir":"Articles","previous_headings":"","what":"Comparison to lavaan","title":"Ordinal Models in blavaan","text":"Ordinal SEM associated two types model parameterizations: delta theta. refer different scale parameterizations \\(y^*\\) variables: delta refers total standard deviation \\(y^*\\) (including variability due latent variables), theta refers residual standard deviation \\(y^*\\). blavaan, theta parameterization implemented. , want compare lavaan results blavaan results, need use argument parameterization = \"theta\" estimate lavaan model. Also, default lavaan estimator ordinal models multiple-step procedure involves weighted least squares discrepancy function. resulting parameter estimates sometimes far posterior means reported blavaan. blavaan estimates usually closer estimator=\"PML\" lavaan.","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/ordinal.html","id":"posterior-predictive-p-values","dir":"Articles","previous_headings":"","what":"Posterior Predictive p-values","title":"Ordinal Models in blavaan","text":"Posterior predictive p-value (ppp) computations receive speed boost 0.4 series. computations now occur Stan, whereas previously occurred R model estimation. discussed Asparouhov Muthén (2021), ppp computations needed models missing data can excessively slow, requiring us run EM algorithm posterior sample order find “H1” (“saturated”) model covariance matrix. solution Asparouhov Muthén (2021) involves realization need use fully-optimized H1 covariance matrix order compute ppp. blavaan, consequently run EM algorithm fixed number iterations order compute H1 covariance matrix “good enough” ppp. default number iterations set 20, users can change default supplying emiter value via mcmcextra argument. example,","code":"mcmcextra = list(data = list(emiter = 50))"},{"path":"http://ecmerkle.github.io/blavaan/articles/ordinal.html","id":"jacobians","dir":"Articles","previous_headings":"","what":"Jacobians","title":"Ordinal Models in blavaan","text":"(section likely relevant editing/writing Stan models.) Stan model underlying blavaan currently requires Jacobian adjustments two places. section briefly reviews ideas underneath adjustments, future self may wish remember. need Jacobian adjustment place prior something appear Stan parameters block. Jacobian tells us implied priors things parameters block, based priors appear model block. Jacobian comes statistics literature “change variables”: applying function random variables, finding distribution function based original distribution random variables. comes Stan models, means starting priors model block finding implied priors parameters block. confused long time , Stan file, functions naturally go opposite direction: starting parameters block, moving model block. fact functions go model parameters convenient, though, Jacobian adjustments require inverse functions. inverse functions move us parameters model, already exist Stan model. just need find appropriate derivatives functions, lead Jacobian. example, consider fact blavaan allows users choose whether priors go standard deviation, variance, precision parameters. standard deviations appear parameters block regardless user chooses (Stan model precompiled time package installation). Say user wants priors precisions. transform standard deviations precisions model block, put prior precision. addition prior, need Jacobian function starts standard deviation (call \\(\\sigma\\)) transforms precision (\\(\\sigma^{-2}\\)). derivative \\(\\sigma^{-2}\\) respect \\(\\sigma\\) \\(-2 \\sigma^{-3}\\). simple function mapping single parameter different value, Jacobian absolute value derivative, \\(2 \\sigma^{-3}\\). Stan file, add log Jacobian target: examples discussion can found : https://mc-stan.org/users/documentation/case-studies/mle-params.html","code":"target += log(2) - 3*log(sigma)"},{"path":"http://ecmerkle.github.io/blavaan/articles/ordinal.html","id":"summary","dir":"Articles","previous_headings":"","what":"Summary","title":"Ordinal Models in blavaan","text":"blavaan 0.4 series offers enhanced functionality variety areas. computational decisions made reflect balance estimation precision estimation speed. case software defaults behave poorly situations. example, default prior distributions can problematic certain situations, likelihood approximations ordinal models may precise desired, new ppp computations may behave differently previous computations. encourage users carry sensitivity analyses, also report bugs!","code":""},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/articles/plotting.html","id":"basics","dir":"Articles","previous_headings":"","what":"Basics","title":"Plot Functionality","text":"many blavaan models many parameters, users generally need specify parameters wish plot. accomplished supplying numbers pars argument, numbers correspond order parameters coef() command (numbers also appear free column parameter table). Users must also specify type plot desire via plot.type argument. , example, trace plot first four model parameters looks like  Many plot types available, coming bayesplot package. general, bayesplot functions begin mcmc_, corresponding plot.type remainder function name without leading mcmc_. Examples many plots can found bayesplot vignette.","code":"plot(fit, pars = 1:4, plot.type = \"trace\")"},{"path":"http://ecmerkle.github.io/blavaan/articles/plotting.html","id":"customization","dir":"Articles","previous_headings":"","what":"Customization","title":"Plot Functionality","text":"Users may wish customize aspects resulting plots. , plot() function output ggplot object. makes possible modify plot ggplot object, allows many possibilities. One starting point exploring ggplot2 .  Alternatively, users may wish create plot entirely different available via plot(). can facilitated extracting posterior samples Stan model, via blavInspect():","code":"p <- plot(fit, pars = 1:4, plot.type = \"trace\", showplot = FALSE)  p + facet_text(size=15) + legend_none() ## list of draws ## (one list entry per chain): draws <- blavInspect(fit, \"mcmc\")  ## convert the list to a matrix ## (each row is a sample, ##  each column is a parameter) draws <- do.call(\"rbind\", draws)  ## Stan (or JAGS) model modobj <- blavInspect(fit, \"mcobj\")"},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/articles/prior.html","id":"defaults","dir":"Articles","previous_headings":"","what":"Defaults","title":"Specifying Prior Distributions","text":"default priors can seen via important note prior distributions correspond Stan parameterizations. similar R parameterizations necessarily exactly . Greek(ish) names correspond following parameter types (MV manifest/observed variable LV latent variable): information priors thresholds, see ordinal modeling details. target = \"stan\" (default), priors currently restricted one distribution per parameter type. can change prior distribution parameters (example, mean standard deviation normal), change prior distribution type. exceptions “theta” “psi” parameters: , can use modifiers “[sd]”, “[var]”, “[prec]” specify whether want priors apply standard deviation, variance, precision. require flexibility prior specification, change target either \"stanclassic\" (old Stan approach) \"jags\" (JAGS approach). Alternatively, can export Stan model via mcmcfile = TRUE, edit file needed, fit via rstan package. modify prior distributions, simply supply new text string dpriors() like : default prior loadings now normal mean 1 standard deviation 2, rest parameters remain original defaults. next time estimate model (via bsem(), bcfa(), bgrowth(), blavaan()), add argument dp=mydp use new set default priors.","code":"dpriors() ##                nu             alpha            lambda              beta  ##    \"normal(0,32)\"    \"normal(0,10)\"    \"normal(0,10)\"    \"normal(0,10)\"  ##             theta               psi               rho             ibpsi  ## \"gamma(1,.5)[sd]\" \"gamma(1,.5)[sd]\"       \"beta(1,1)\" \"wishart(3,iden)\"  ##               tau  ##   \"normal(0,1.5)\" ##                  nu               alpha              lambda                beta  ##      \"MV intercept\"      \"LV intercept\"           \"Loading\"        \"Regression\"  ##               theta                 psi                 rho               ibpsi  ##      \"MV precision\"      \"LV precision\"       \"Correlation\" \"Covariance matrix\"  ##                 tau  ##         \"Threshold\" mydp <- dpriors(lambda=\"normal(1,2)\") mydp ##                nu             alpha            lambda              beta  ##    \"normal(0,32)\"    \"normal(0,10)\"     \"normal(1,2)\"    \"normal(0,10)\"  ##             theta               psi               rho             ibpsi  ## \"gamma(1,.5)[sd]\" \"gamma(1,.5)[sd]\"       \"beta(1,1)\" \"wishart(3,iden)\"  ##               tau  ##   \"normal(0,1.5)\""},{"path":"http://ecmerkle.github.io/blavaan/articles/prior.html","id":"individual-parameters","dir":"Articles","previous_headings":"","what":"Individual Parameters","title":"Specifying Prior Distributions","text":"addition setting prior one type model parameter, user may wish set prior specific model parameter. accomplished using prior() modifier within model specification. example, consider following syntax Holzinger Swineford (1939) confirmatory factor model: loading visual x2 now normal prior mean 1 standard deviation 2, loading textual x6 normal prior mean 3 standard deviation 1.5. loadings default prior distribution. syntax, additionally specified gamma(3,3) prior associated residual x1. [sd] text end distribution says prior goes residual standard deviation, opposed residual precision residual variance. exist two options : [var] option residual variance, brackets precision (also use [prec]). bracketed text can used model variance/SD/precision parameter also used default prior specification desired.","code":"HS.model <- ' visual  =~ x1 + prior(\"normal(1,2)\")*x2 + x3               textual =~ x4 + x5 + prior(\"normal(3,1.5)\")*x6               speed   =~ x7 + x8 + x9                x1 ~~ prior(\"gamma(3,3)[sd]\")*x1 '"},{"path":"http://ecmerkle.github.io/blavaan/articles/prior.html","id":"covariance-parameters","dir":"Articles","previous_headings":"","what":"Covariance Parameters","title":"Specifying Prior Distributions","text":"One additional note covariance parameters defined model syntax: prior() syntax specifies prior correlation associated covariance parameter, opposed covariance . specified distribution support (0,1), blavaan automatically translates prior equivalent distribution support (-1,1). safest stick beta priors . example, syntax places Beta(1,1) (uniform) prior correlation visual textual factors. desired, also specify priors standard deviations (variances precisions) visual textual factors. Together prior correlation, priors imply prior covariance visual textual.","code":"HS.model <- ' visual  =~ x1 + x2 + x3               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9                visual ~~ prior(\"beta(1,1)\")*textual '"},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/articles/prior_pred_checks.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Prior Predictive Checks","text":"Bayesian models need specify priors model parameters. Priors distribution think parameters follow, even data. can represent high low uncertainty, diffuse prior indicates don know lot parameter behave, informative prior means quite certain expected distribution.","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/prior_pred_checks.html","id":"prior-predictive-checks","dir":"Articles","previous_headings":"","what":"Prior Predictive Checks","title":"Prior Predictive Checks","text":"Prior predictive checks (PPC) generate data according prior order asses whether prior appropriate (Gabry et al. 2019). posterior predictive check generates replicated data according posterior predictive distribution. contrast, prior predictive check generates data according prior predictive distribution \\(y^{sim} ∼ p(y)\\). prior predictive distribution just like posterior predictive distribution observed data, prior predictive check nothing limiting case posterior predictive check data. easy carry mechanically simulating parameters \\(θ^{sim}∼p(\\theta)\\) according priors, simulating data \\(y^{sim}∼p(y∣ \\theta^{sim})\\) according sampling distribution given simulated parameters. result simulation joint distribution, \\((y^{sim},θ^{sim})∼p(y,\\theta)\\) thus \\(y^{sim}∼p(y)\\) simulation prior predictive distribution. blavaan can get PPC use argument prisamp=TRUE , tell blavaan ignore data buil distributions priors. start adjusting priors, instead using default priors.","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/prior_pred_checks.html","id":"weakly-informative-priors","dir":"Articles","previous_headings":"Prior Predictive Checks","what":"Weakly informative priors","title":"Prior Predictive Checks","text":"show example Holzinger Swineford (1939) data, first case weakly informative priors. stpecifying observeded variable intercepts prior \\(N(3, 2)\\), factor loadings prior \\(N(0.4, 2)\\), residual standard deviation prior \\(\\Gamma(1,1)\\). estimate BSEM model respective priors dp argument, prisamp=TRUE, getting PPC instead posterior distributions. might get warning messages either divergent /failed convergence. ignore messages likely issues evaluations prior predictions. now blavaan object prior predictive distributions, can use package functions describe , see parameters within expected ranges. example can get PPC density distributions first 9 parameters (factor loadings case). basic plot() method calls functions bayesplot package (Gabry Mahr 2021) plot.type = \"dens\" argument can plot density distributions  can also pick parameters plot, like factor correlations chossing parameters 19:21 case  factor loadings distributions see first loading factor bounded 0, due modeling identification constraint blavaan, maximum values aroun 6. distributions range -6 6 -4 4, priors likely value around 0. described weakly informative priors allows range begative positive values without allowing crazy high/low values Note realistic range dependen parameter, model specification, data. , consider priors function characterictics. factor correlations kept deafult diffuse priors, allowed high low correlation, prior distributions flat across possible correlation values.","code":"priors <- dpriors(nu=\"normal(3,2)\",                   lambda=\"normal(0.4, 2)\",                   theta=\"gamma(1,1)[sd]\") HS.model <- ' visual  =~ x1 + x2 + x3               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9 '  fit_wi <- bcfa(HS.model, data=HolzingerSwineford1939,              std.lv=TRUE, meanstructure=T, test = \"none\",             dp=priors, prisamp = T) plot(fit_wi, pars=1:9, plot.type = \"dens\") plot(fit_wi, pars=19:21, plot.type = \"dens\")"},{"path":"http://ecmerkle.github.io/blavaan/articles/prior_pred_checks.html","id":"default-priors","dir":"Articles","previous_headings":"Prior Predictive Checks","what":"Default priors","title":"Prior Predictive Checks","text":"next example, estimate PPC package default priors, consider diffuse priors. can see blavaan default priors function dpriors() estimate BSEM model ignore dp argument letting run default priors, prisamp=TRUE, getting PPC instead posterior distributions. can plot density distributions compare . see default diffuse priors, model allows high values -30 30  way can see diffuse priors allows higher range values. researcher decide range priors better present expectations. important note PPC allows see expected distributions based priors, might priors used estimation process, priors interact model specification constraints (o bound constraint first factor loading) (Merkle et al. 2023)","code":"dpriors() ##                nu             alpha            lambda              beta  ##    \"normal(0,32)\"    \"normal(0,10)\"    \"normal(0,10)\"    \"normal(0,10)\"  ##             theta               psi               rho             ibpsi  ## \"gamma(1,.5)[sd]\" \"gamma(1,.5)[sd]\"       \"beta(1,1)\" \"wishart(3,iden)\"  ##               tau  ##   \"normal(0,1.5)\" fit_df <- bcfa(HS.model, data=HolzingerSwineford1939,              std.lv=TRUE, meanstructure=T, test = \"none\",              prisamp = T) plot(fit_df, pars=1:9, plot.type = \"dens\")"},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/articles/probability_direction.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Probability of Direction","text":"Probability Direction (pd) index effect existence, ranging 0% 100%, representing certainty effect goes particular direction (.e., positive negative) (Makowski et al. 2019). Beyond simplicity interpretation, understanding computation, index also presents interesting properties: independent model: solely based posterior distributions require additional information data model. robust scale response variable predictors. *strongly correlated frequentist p-value, can thus used draw parallels give reference readers non-familiar Bayesian statistics. Can interpreted probability parameter (described posterior distribution) chosen cutoff, explicit hypothesis. mathematically defined proportion posterior distribution satisfies specified hypothesis. Although differently expressed, index fairly similar (.e., strongly correlated) frequentist p-value.","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/probability_direction.html","id":"probability-of-direction-pd","dir":"Articles","previous_headings":"","what":"Probability of Direction (pd)","title":"Probability of Direction","text":"example use Industrialization Political Democracy example (Bollen 1989). first estimate latent regression model can look overall model results summary function, case also asking standardized estimates, \\(R^2\\) calculate probability direction use function package brms (Bürkner 2017) Ans need extract posterior draws matrix, also important note parameters posterior draws named Stan underlying object names, instead (b)lavaan parameter names. can see parameter name equates partable() function, follows example focus regressions factors Now, can calculate pd, hypothesis() function brms can ask specific question posterior distributions, example want know proportion regression dem65~ind60 higher 0. function requires 2 arguments, posterior draws (mc_out) hypothesis (bet_sign[2] > 0), also adding ``alpha``` argument specifies size credible intervals estimate presents mean posterior distribution, respective measures variability (deviation credible interval). Post.Prob pd stated hypothesis, example can say 91% posterior distribution dem65~ind60 lower 0. equivalent one-tail test. Evid.Ratio evidence ratio hypothesis, hypothesis form \\(> b\\), evidence ratio ratio posterior probability \\(> b\\) posterior probability \\(< b\\) another example, want know proportion regression dem60~ind60 higher 0. can see 100% posterior probability higher 0, case Evid.Ratio = Inf, happens whole distribution fulfills hypothesis. another possible case interest, use test equalities parameters, example can test dem60~ind60 higher dem65~ind60. see 97% posteriors state dem60~ind60 higher dem65~ind60, mean difference (dem60~ind60 - dem65~ind60) Estimate=0.46","code":"model <- '   # latent variable definitions      ind60 =~ x1 + x2 + x3      dem60 =~ a*y1 + b*y2 + c*y3 + d*y4      dem65 =~ a*y5 + b*y6 + c*y7 + d*y8    # regressions     dem60 ~ ind60     dem65 ~ ind60 + dem60    # residual correlations     y1 ~~ y5     y2 ~~ y4 + y6     y3 ~~ y7     y4 ~~ y8     y6 ~~ y8 '  fit <- bsem(model, data=PoliticalDemocracy,             std.lv=T, meanstructure=T) summary(fit, standardize=T, rsquare=T) ## blavaan 0.5.2.1207 ended normally after 1000 iterations ##  ##   Estimator                                      BAYES ##   Optimization method                             MCMC ##   Number of model parameters                        42 ##   Number of equality constraints                     4 ##  ##   Number of observations                            75 ##  ##   Statistic                                 MargLogLik         PPP ##   Value                                             NA       0.021 ##  ## Parameter Estimates: ##  ##  ## Latent Variables: ##                    Estimate  Post.SD pi.lower pi.upper   Std.lv  Std.all ##   ind60 =~                                                               ##     x1                0.707    0.071    0.580    0.856    0.707    0.922 ##     x2                1.540    0.143    1.284    1.841    1.540    0.973 ##     x3                1.277    0.142    1.026    1.576    1.277    0.872 ##   dem60 =~                                                               ##     y1         (a)    1.461    0.169    1.142    1.801    1.785    0.762 ##     y2         (b)    1.736    0.225    1.313    2.201    2.121    0.585 ##     y3         (c)    1.820    0.202    1.453    2.233    2.224    0.701 ##     y4         (d)    1.952    0.201    1.591    2.360    2.385    0.792 ##   dem65 =~                                                               ##     y5         (a)    1.461    0.169    1.142    1.801    2.308    0.813 ##     y6         (b)    1.736    0.225    1.313    2.201    2.742    0.771 ##     y7         (c)    1.820    0.202    1.453    2.233    2.875    0.838 ##     y8         (d)    1.952    0.201    1.591    2.360    3.084    0.871 ##      Rhat    Prior        ##                           ##     1.000    normal(0,10) ##     1.001    normal(0,10) ##     1.001    normal(0,10) ##                           ##     1.000    normal(0,10) ##     1.002    normal(0,10) ##     1.000    normal(0,10) ##     1.001    normal(0,10) ##                           ##     1.000                 ##     1.002                 ##     1.000                 ##     1.001                 ##  ## Regressions: ##                    Estimate  Post.SD pi.lower pi.upper   Std.lv  Std.all ##   dem60 ~                                                                ##     ind60             0.702    0.172    0.389    1.063    0.575    0.575 ##   dem65 ~                                                                ##     ind60             0.252    0.181   -0.106    0.600    0.159    0.159 ##     dem60             0.868    0.128    0.619    1.127    0.671    0.671 ##      Rhat    Prior        ##                           ##     1.001    normal(0,10) ##                           ##     1.000    normal(0,10) ##     1.000    normal(0,10) ##  ## Covariances: ##                    Estimate  Post.SD pi.lower pi.upper   Std.lv  Std.all ##  .y1 ~~                                                                  ##    .y5                0.752    0.438   -0.009    1.726    0.752    0.300 ##  .y2 ~~                                                                  ##    .y4                1.738    0.817    0.284    3.547    1.738    0.321 ##    .y6                2.234    0.778    0.824    3.861    2.234    0.335 ##  .y3 ~~                                                                  ##    .y7                1.307    0.665    0.159    2.714    1.307    0.309 ##  .y4 ~~                                                                  ##    .y8                0.387    0.486   -0.520    1.407    0.387    0.121 ##  .y6 ~~                                                                  ##    .y8                1.098    0.720   -0.227    2.640    1.098    0.278 ##      Rhat    Prior        ##                           ##     1.002       beta(1,1) ##                           ##     1.000       beta(1,1) ##     1.000       beta(1,1) ##                           ##     1.000       beta(1,1) ##                           ##     1.001       beta(1,1) ##                           ##     1.000       beta(1,1) ##  ## Intercepts: ##                    Estimate  Post.SD pi.lower pi.upper   Std.lv  Std.all ##    .x1                5.056    0.090    4.881    5.235    5.056    6.598 ##    .x2                4.796    0.184    4.444    5.154    4.796    3.031 ##    .x3                3.562    0.171    3.225    3.895    3.562    2.432 ##    .y1                5.465    0.268    4.954    6.002    5.465    2.332 ##    .y2                4.247    0.439    3.393    5.117    4.247    1.172 ##    .y3                6.555    0.370    5.804    7.267    6.555    2.067 ##    .y4                4.443    0.350    3.761    5.140    4.443    1.474 ##    .y5                5.138    0.332    4.511    5.801    5.138    1.810 ##    .y6                2.976    0.408    2.196    3.787    2.976    0.836 ##    .y7                6.196    0.398    5.414    6.957    6.196    1.807 ##    .y8                4.039    0.414    3.236    4.866    4.039    1.140 ##     ind60             0.000                               0.000    0.000 ##    .dem60             0.000                               0.000    0.000 ##    .dem65             0.000                               0.000    0.000 ##      Rhat    Prior        ##     1.001    normal(0,32) ##     1.000    normal(0,32) ##     1.000    normal(0,32) ##     1.001    normal(0,32) ##     1.001    normal(0,32) ##     1.000    normal(0,32) ##     1.002    normal(0,32) ##     1.002    normal(0,32) ##     1.002    normal(0,32) ##     1.001    normal(0,32) ##     1.003    normal(0,32) ##                           ##                           ##                           ##  ## Variances: ##                    Estimate  Post.SD pi.lower pi.upper   Std.lv  Std.all ##    .x1                0.088    0.023    0.047    0.135    0.088    0.150 ##    .x2                0.134    0.083    0.004    0.311    0.134    0.053 ##    .x3                0.514    0.101    0.342    0.742    0.514    0.240 ##    .y1                2.304    0.586    1.326    3.620    2.304    0.420 ##    .y2                8.631    1.545    5.963   11.910    8.631    0.657 ##    .y3                5.111    1.043    3.415    7.521    5.111    0.508 ##    .y4                3.391    0.873    1.859    5.237    3.391    0.373 ##    .y5                2.729    0.638    1.663    4.116    2.729    0.339 ##    .y6                5.143    1.086    3.243    7.486    5.143    0.406 ##    .y7                3.492    0.850    1.994    5.312    3.492    0.297 ##    .y8                3.035    0.869    1.510    4.879    3.035    0.242 ##     ind60             1.000                               1.000    1.000 ##    .dem60             1.000                               0.670    0.670 ##    .dem65             1.000                               0.401    0.401 ##      Rhat    Prior        ##     1.001 gamma(1,.5)[sd] ##     1.002 gamma(1,.5)[sd] ##     1.000 gamma(1,.5)[sd] ##     1.000 gamma(1,.5)[sd] ##     1.000 gamma(1,.5)[sd] ##     1.000 gamma(1,.5)[sd] ##     1.000 gamma(1,.5)[sd] ##     1.000 gamma(1,.5)[sd] ##     1.000 gamma(1,.5)[sd] ##     1.000 gamma(1,.5)[sd] ##     1.000 gamma(1,.5)[sd] ##                           ##                           ##                           ##  ## R-Square: ##                    Estimate ##     x1                0.850 ##     x2                0.947 ##     x3                0.760 ##     y1                0.580 ##     y2                0.343 ##     y3                0.492 ##     y4                0.627 ##     y5                0.661 ##     y6                0.594 ##     y7                0.703 ##     y8                0.758 ##     dem60             0.330 ##     dem65             0.599 library(brms) mc_out <- as.matrix(blavInspect(fit, \"mcmc\")) dim(mc_out) ## [1] 3000   42 colnames(mc_out) ##  [1] \"ly_sign[1]\"    \"ly_sign[2]\"    \"ly_sign[3]\"    \"ly_sign[4]\"    ##  [5] \"ly_sign[5]\"    \"ly_sign[6]\"    \"ly_sign[7]\"    \"ly_sign[4]\"    ##  [9] \"ly_sign[5]\"    \"ly_sign[6]\"    \"ly_sign[7]\"    \"bet_sign[1]\"   ## [13] \"bet_sign[2]\"   \"bet_sign[3]\"   \"Theta_cov[1]\"  \"Theta_cov[2]\"  ## [17] \"Theta_cov[3]\"  \"Theta_cov[4]\"  \"Theta_cov[5]\"  \"Theta_cov[6]\"  ## [21] \"Theta_var[1]\"  \"Theta_var[2]\"  \"Theta_var[3]\"  \"Theta_var[4]\"  ## [25] \"Theta_var[5]\"  \"Theta_var[6]\"  \"Theta_var[7]\"  \"Theta_var[8]\"  ## [29] \"Theta_var[9]\"  \"Theta_var[10]\" \"Theta_var[11]\" \"Nu_free[1]\"    ## [33] \"Nu_free[2]\"    \"Nu_free[3]\"    \"Nu_free[4]\"    \"Nu_free[5]\"    ## [37] \"Nu_free[6]\"    \"Nu_free[7]\"    \"Nu_free[8]\"    \"Nu_free[9]\"    ## [41] \"Nu_free[10]\"   \"Nu_free[11]\" pt <- partable(fit)[,c(\"lhs\",\"op\",\"rhs\",\"pxnames\")] pt ##      lhs op   rhs       pxnames ## 1  ind60 =~    x1    ly_sign[1] ## 2  ind60 =~    x2    ly_sign[2] ## 3  ind60 =~    x3    ly_sign[3] ## 4  dem60 =~    y1    ly_sign[4] ## 5  dem60 =~    y2    ly_sign[5] ## 6  dem60 =~    y3    ly_sign[6] ## 7  dem60 =~    y4    ly_sign[7] ## 8  dem65 =~    y5    ly_sign[4] ## 9  dem65 =~    y6    ly_sign[5] ## 10 dem65 =~    y7    ly_sign[6] ## 11 dem65 =~    y8    ly_sign[7] ## 12 dem60  ~ ind60   bet_sign[1] ## 13 dem65  ~ ind60   bet_sign[2] ## 14 dem65  ~ dem60   bet_sign[3] ## 15    y1 ~~    y5  Theta_cov[1] ## 16    y2 ~~    y4  Theta_cov[2] ## 17    y2 ~~    y6  Theta_cov[3] ## 18    y3 ~~    y7  Theta_cov[4] ## 19    y4 ~~    y8  Theta_cov[5] ## 20    y6 ~~    y8  Theta_cov[6] ## 21    x1 ~~    x1  Theta_var[1] ## 22    x2 ~~    x2  Theta_var[2] ## 23    x3 ~~    x3  Theta_var[3] ## 24    y1 ~~    y1  Theta_var[4] ## 25    y2 ~~    y2  Theta_var[5] ## 26    y3 ~~    y3  Theta_var[6] ## 27    y4 ~~    y4  Theta_var[7] ## 28    y5 ~~    y5  Theta_var[8] ## 29    y6 ~~    y6  Theta_var[9] ## 30    y7 ~~    y7 Theta_var[10] ## 31    y8 ~~    y8 Theta_var[11] ## 32 ind60 ~~ ind60          <NA> ## 33 dem60 ~~ dem60          <NA> ## 34 dem65 ~~ dem65          <NA> ## 35    x1 ~1          Nu_free[1] ## 36    x2 ~1          Nu_free[2] ## 37    x3 ~1          Nu_free[3] ## 38    y1 ~1          Nu_free[4] ## 39    y2 ~1          Nu_free[5] ## 40    y3 ~1          Nu_free[6] ## 41    y4 ~1          Nu_free[7] ## 42    y5 ~1          Nu_free[8] ## 43    y6 ~1          Nu_free[9] ## 44    y7 ~1         Nu_free[10] ## 45    y8 ~1         Nu_free[11] ## 46 ind60 ~1                <NA> ## 47 dem60 ~1                <NA> ## 48 dem65 ~1                <NA> ## 49  .p4. ==  .p8.          <NA> ## 50  .p5. ==  .p9.          <NA> ## 51  .p6. == .p10.          <NA> ## 52  .p7. == .p11.          <NA> pt[pt$op==\"~\",] ##      lhs op   rhs     pxnames ## 12 dem60  ~ ind60 bet_sign[1] ## 13 dem65  ~ ind60 bet_sign[2] ## 14 dem65  ~ dem60 bet_sign[3] hypothesis(mc_out, \"bet_sign[2] > 0\", alpha = 0.05) ## New names: ## • `ly_sign[4]` -> `ly_sign[4]...4` ## • `ly_sign[5]` -> `ly_sign[5]...5` ## • `ly_sign[6]` -> `ly_sign[6]...6` ## • `ly_sign[7]` -> `ly_sign[7]...7` ## • `ly_sign[4]` -> `ly_sign[4]...8` ## • `ly_sign[5]` -> `ly_sign[5]...9` ## • `ly_sign[6]` -> `ly_sign[6]...10` ## • `ly_sign[7]` -> `ly_sign[7]...11` ## Hypothesis Tests for class : ##          Hypothesis Estimate Est.Error CI.Lower CI.Upper Evid.Ratio Post.Prob ## 1 (bet_sign[2]) > 0     0.25      0.18    -0.05     0.55      11.99      0.92 ##   Star ## 1      ## --- ## 'CI': 90%-CI for one-sided and 95%-CI for two-sided hypotheses. ## '*': For one-sided hypotheses, the posterior probability exceeds 95%; ## for two-sided hypotheses, the value tested against lies outside the 95%-CI. ## Posterior probabilities of point hypotheses assume equal prior probabilities. hypothesis(mc_out, \"bet_sign[1] > 0\", alpha = 0.05) ## New names: ## • `ly_sign[4]` -> `ly_sign[4]...4` ## • `ly_sign[5]` -> `ly_sign[5]...5` ## • `ly_sign[6]` -> `ly_sign[6]...6` ## • `ly_sign[7]` -> `ly_sign[7]...7` ## • `ly_sign[4]` -> `ly_sign[4]...8` ## • `ly_sign[5]` -> `ly_sign[5]...9` ## • `ly_sign[6]` -> `ly_sign[6]...10` ## • `ly_sign[7]` -> `ly_sign[7]...11` ## Hypothesis Tests for class : ##          Hypothesis Estimate Est.Error CI.Lower CI.Upper Evid.Ratio Post.Prob ## 1 (bet_sign[1]) > 0      0.7      0.17     0.43        1        Inf         1 ##   Star ## 1    * ## --- ## 'CI': 90%-CI for one-sided and 95%-CI for two-sided hypotheses. ## '*': For one-sided hypotheses, the posterior probability exceeds 95%; ## for two-sided hypotheses, the value tested against lies outside the 95%-CI. ## Posterior probabilities of point hypotheses assume equal prior probabilities. hypothesis(mc_out, \"bet_sign[1] - bet_sign[2] > 0\", alpha = 0.05) ## New names: ## • `ly_sign[4]` -> `ly_sign[4]...4` ## • `ly_sign[5]` -> `ly_sign[5]...5` ## • `ly_sign[6]` -> `ly_sign[6]...6` ## • `ly_sign[7]` -> `ly_sign[7]...7` ## • `ly_sign[4]` -> `ly_sign[4]...8` ## • `ly_sign[5]` -> `ly_sign[5]...9` ## • `ly_sign[6]` -> `ly_sign[6]...10` ## • `ly_sign[7]` -> `ly_sign[7]...11` ## Hypothesis Tests for class : ##                 Hypothesis Estimate Est.Error CI.Lower CI.Upper Evid.Ratio ## 1 (bet_sign[1]-bet_... > 0     0.45      0.26     0.03     0.89      25.09 ##   Post.Prob Star ## 1      0.96    * ## --- ## 'CI': 90%-CI for one-sided and 95%-CI for two-sided hypotheses. ## '*': For one-sided hypotheses, the posterior probability exceeds 95%; ## for two-sided hypotheses, the value tested against lies outside the 95%-CI. ## Posterior probabilities of point hypotheses assume equal prior probabilities."},{"path":"http://ecmerkle.github.io/blavaan/articles/probability_direction.html","id":"region-of-practical-equivalence-rope","dir":"Articles","previous_headings":"","what":"Region of Practical Equivalence (ROPE)","title":"Probability of Direction","text":"Note far tested hypothesis 0, equivalent frequentist null hypothesis tests. can test . Bayesian inference based statistical significance, effects tested “zero”. Indeed, Bayesian framework offers probabilistic view parameters, allowing assessment uncertainty related . Thus, rather concluding effect present simply differs zero, conclude probability outside specific range can considered “practically effect” (.e., negligible magnitude) sufficient. range called region practical equivalence (ROPE). Indeed, statistically, probability posterior distribution different 0 make much sense (probability different single point infinite). Therefore, idea underlining ROPE let user define area around null value enclosing values equivalent null value practical purposes (Kruschke Liddell 2018) examples, change value tested, common recommendations use |0.1| minimally relevant value standardized regressions, case find 0.79 proportion posterior 0.1","code":"hypothesis(mc_out, \"bet_sign[2] > .1\", alpha = 0.05) ## New names: ## • `ly_sign[4]` -> `ly_sign[4]...4` ## • `ly_sign[5]` -> `ly_sign[5]...5` ## • `ly_sign[6]` -> `ly_sign[6]...6` ## • `ly_sign[7]` -> `ly_sign[7]...7` ## • `ly_sign[4]` -> `ly_sign[4]...8` ## • `ly_sign[5]` -> `ly_sign[5]...9` ## • `ly_sign[6]` -> `ly_sign[6]...10` ## • `ly_sign[7]` -> `ly_sign[7]...11` ## Hypothesis Tests for class : ##               Hypothesis Estimate Est.Error CI.Lower CI.Upper Evid.Ratio ## 1 (bet_sign[2])-(.1) > 0     0.15      0.18    -0.15     0.45       4.09 ##   Post.Prob Star ## 1       0.8      ## --- ## 'CI': 90%-CI for one-sided and 95%-CI for two-sided hypotheses. ## '*': For one-sided hypotheses, the posterior probability exceeds 95%; ## for two-sided hypotheses, the value tested against lies outside the 95%-CI. ## Posterior probabilities of point hypotheses assume equal prior probabilities."},{"path":"http://ecmerkle.github.io/blavaan/articles/probability_direction.html","id":"vs--95-ci","dir":"Articles","previous_headings":"","what":"89% vs. 95% CI","title":"Probability of Direction","text":"commonly frequentist tradition see use 95% Credible interval. Using 89% another popular choice, used default long time. start? Naturally, came choosing CI level report default, people started using 95%, arbitrary convention used frequentist world. However, authors suggested 95% might appropriate Bayesian posterior distributions, potentially lacking stability enough posterior samples drawn (McElreath 2020). proposition use 90% instead 95%. However, recently, McElreath (2020) suggested use arbitrary thresholds first place, use 89%? Moreover, 89 highest prime number exceed already unstable 95% threshold. anything? Nothing, reminds us total arbitrariness conventions (McElreath 2020). can use argument alpha argument hypothesis function, interpretation values Post.Prob","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/probability_direction.html","id":"caveats","dir":"Articles","previous_headings":"","what":"Caveats","title":"Probability of Direction","text":"Although allows testing hypotheses similar manner frequentist null-hypothesis testing framework, strongly argue using arbitrary cutoffs (e.g., p < .05) determine ‘existence’ effect. ROPE sensitive scale, aware value interest representative respective scale. , standardize parameters useful commonly used scale","code":""},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/articles/start.html","id":"installation","dir":"Articles","previous_headings":"","what":"Installation","title":"Getting Started with blavaan","text":"blavaan can installed CRAN usual way: situations, may wish install blavaan GitHub. GitHub version sometimes contains bug fixes yet CRAN, though can also less stable. install GitHub, use following command. command requires system can compile Stan models, guaranteed usually install blavaan CRAN. trouble, may help look RStan Getting Started page.","code":"install.packages(\"blavaan\") remotes::install_github(\"ecmerkle/blavaan\", INSTALL_opts = \"--no-multiarch\")"},{"path":"http://ecmerkle.github.io/blavaan/articles/start.html","id":"commands-and-syntax","dir":"Articles","previous_headings":"","what":"Commands and Syntax","title":"Getting Started with blavaan","text":"blavaan package depends lavaan package model specification computations. means , already know lavaan, already able many things blavaan. particular, many blavaan commands add letter “b” start lavaan command. example, sem() becomes bsem(), lavInspect() becomes blavInspect(). also sometimes possible use lavaan command blavaan object, though results may always expect. details mind, look lavaan tutorial many examples models. can translate many examples blavaan adding “b” start commands. look pages , learn additional blavaan arguments specific Bayesian methods.","code":""},{"path":"http://ecmerkle.github.io/blavaan/articles/summaries.html","id":"convergence","dir":"Articles","previous_headings":"","what":"Convergence","title":"Model Summaries","text":"Following model estimation, immediately wish look “goodness” posterior samples, including convergence stationary distribution autocorrelation. Popular convergence metrics available via blavInspect() function: R-hat values near 1.00 indicate convergence, large effective sample sizes (hundreds ) preferred. details metrics, see, e.g., Posterior Analysis section Stan Reference Manual. model definitely converged (judged Rhat), blavaan issue multiple warnings. Lack convergence sometimes caused bad initial values chain strays extreme region posterior space. cases, can helpful re-estimate model second time. also helpful specify mildly-informative priors loading parameters, chains wander extreme loading values. example, expect variables positively correlated loadings fixed 1 identification, Normal(1,.5) often mildly-informative prior. Otherwise, lack convergence may imply prior distributions severely conflict data, ill-defined model. sometimes helpful try fit model lavaan, observe whether errors occur .","code":"blavInspect(fit, 'rhat') blavInspect(fit, 'neff')"},{"path":"http://ecmerkle.github.io/blavaan/articles/summaries.html","id":"model-fit-comparison","dir":"Articles","previous_headings":"","what":"Model Fit & Comparison","title":"Model Summaries","text":"Next, may wish examine model fit metrics. many metrics available summary() output, available fitMeasures() function: judging absolute fit, blavaan supplies posterior predictive p-value based likelihood ratio statistic. Good-fitting models values near 0.5 metric. examining models’ relative fits, blavaan supplies DIC, WAIC, LOOIC. latter two metrics computed help loo package (Vehtari et al. 2020). Comparison multiple models criteria facilitated via blavCompare(), provides standard errors difference two criteria. notable functions include blavFitIndices() alternative measures absolute fit ppmc() general posterior predictive checks.","code":"summary(fit) fitMeasures(fit)"},{"path":"http://ecmerkle.github.io/blavaan/articles/summaries.html","id":"latent-variables-standardization","dir":"Articles","previous_headings":"","what":"Latent Variables & Standardization","title":"Model Summaries","text":"often-discussed advantage Bayesian models abilities describe uncertainty “random” parameters, including random effects latent variables. access functionality blavaan, users must set save.lvs = TRUE model estimation, done top page. model estimation, uses can access information via blavInspect() blavPredict(). Relevant arguments blavInspect() include lvmeans lvs. former returns posterior means latent variables, similar predictions supplied frequentist models. latter returns posterior samples latent variables, users summarize uncertainties functions latent variables. posterior samples returned list length n.chains, list entry row per posterior sample (number columns total number latent variables model): related, different, information can obtained blavPredict(). function also return posterior samples latent variables, matrix instead list: blavPredict() function also return predictions observed variables conditioned sampled latent variables. type = \"yhat\" argument returns expected values observed variables conditioned latent variable samples; type = \"ypred\" argument returns posterior predictions observed variables including residual noise (essentially yhat + error); type = \"ymis\" argument returns posterior predictions missing variables conditioned observed. expected values predictions returned list format; matrix, see last line code . Finally, fully related latent variables: standardizedPosterior() function return standardized posterior draws. calls lavaan function standardizedSolution() background function’s flexibility.","code":"postmns <- blavInspect(fit, what = \"lvmeans\") postsamps <- blavInspect(fit, what = \"lvs\") postsamps <- blavPredict(fit, type = \"lv\") evpreds <- blavPredict(fit, type = \"yhat\") postpreds <- blavPredict(fit, type = \"ypred\") mispreds <- blavPredict(fit, type = \"ymis\")  ## convert to matrix from list: evpreds <- do.call(\"rbind\", evpreds)"},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Edgar Merkle. Author, maintainer. Yves Rosseel. Author. Ben Goodrich. Author. Mauricio Garnier-Villarreal. Contributor.            R/blav_compare.RR/ctr_bayes_fit.Rvignettes Terrence D. Jorgensen. Contributor.            R/ctr_bayes_fit.RR/ctr_ppmc.RR/blav_predict.R Huub Hoofs. Contributor.            R/ctr_bayes_fit.R Rens van de Schoot. Contributor.            R/ctr_bayes_fit.R Andrew Johnson. Contributor.            Makevars Matthew Emery. Contributor.            loo moment_match","code":""},{"path":"http://ecmerkle.github.io/blavaan/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Merkle EC, Fitzsimmons E, Uanhoro J, Goodrich B (2021). “Efficient Bayesian Structural Equation Modeling Stan.” Journal Statistical Software, 100(6), 1–22. doi:10.18637/jss.v100.i06. Merkle EC, Rosseel Y (2018). “blavaan: Bayesian Structural Equation Models via Parameter Expansion.” Journal Statistical Software, 85(4), 1–30. doi:10.18637/jss.v085.i04.","code":"@Article{,   title = {Efficient {Bayesian} Structural Equation Modeling in {Stan}},   author = {Edgar C. Merkle and Ellen Fitzsimmons and James Uanhoro and Ben Goodrich},   journal = {Journal of Statistical Software},   year = {2021},   volume = {100},   number = {6},   pages = {1--22},   doi = {10.18637/jss.v100.i06}, } @Article{,   title = {{blavaan: Bayesian} Structural Equation Models via Parameter Expansion},   author = {Edgar C. Merkle and Yves Rosseel},   journal = {Journal of Statistical Software},   year = {2018},   volume = {85},   number = {4},   pages = {1--30},   doi = {10.18637/jss.v085.i04}, }"},{"path":"http://ecmerkle.github.io/blavaan/index.html","id":"blavaan","dir":"","previous_headings":"","what":"Bayesian Latent Variable Analysis","title":"Bayesian Latent Variable Analysis","text":"blavaan free, open source R package Bayesian latent variable analysis. relies JAGS Stan estimate models via MCMC. blavaan functions syntax similar lavaan. example, consider Political Democracy example Bollen (1989): development version blavaan (containing updates yet CRAN) can installed via command . Compilation required; may problem users currently rely binary version blavaan CRAN. information, see: Merkle, E. C., Fitzsimmons, E., Uanhoro, J., & Goodrich, B. (2021). Efficient Bayesian structural equation modeling Stan. Journal Statistical Software, 100(6), 1–22. Merkle, E. C., & Rosseel, Y. (2018). blavaan: Bayesian structural equation models via parameter expansion. Journal Statistical Software, 85(4), 1–30. blavaan supported Institute Education Sciences, U.S. Department Education, Grant R305D210044, well NSF grants SES-1061334 1460719.","code":"library(blavaan)  model <- '    # latent variable definitions      ind60 =~ x1 + x2 + x3      dem60 =~ y1 + y2 + y3 + y4      dem65 =~ y5 + y6 + y7 + y8    # regressions      dem60 ~ ind60      dem65 ~ ind60 + dem60    # residual covariances      y1 ~~ y5      y2 ~~ y4 + y6      y3 ~~ y7      y4 ~~ y8      y6 ~~ y8 ' fit <- bsem(model, data = PoliticalDemocracy) summary(fit) remotes::install_github(\"ecmerkle/blavaan\", INSTALL_opts = \"--no-multiarch\")"},{"path":"http://ecmerkle.github.io/blavaan/reference/bcfa.html","id":null,"dir":"Reference","previous_headings":"","what":"Fit Confirmatory Factor Analysis Models — bcfa","title":"Fit Confirmatory Factor Analysis Models — bcfa","text":"Fit Confirmatory Factor Analysis (CFA) model.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/bcfa.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fit Confirmatory Factor Analysis Models — bcfa","text":"","code":"bcfa(..., cp = \"srs\",      dp = NULL, n.chains = 3, burnin, sample,      adapt, mcmcfile = FALSE, mcmcextra = list(), inits = \"simple\",      convergence = \"manual\", target = \"stan\", save.lvs = FALSE,      wiggle = NULL, wiggle.sd = 0.1, prisamp = FALSE, jags.ic = FALSE,      seed = NULL, bcontrol = list())"},{"path":"http://ecmerkle.github.io/blavaan/reference/bcfa.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fit Confirmatory Factor Analysis Models — bcfa","text":"... Default lavaan arguments.  See lavaan. cp Handling prior distributions covariance parameters:   possible values \"srs\" (default)     \"fa\". Option \"fa\" available target=\"jags\". dp Default prior distributions different types     parameters, typically result call dpriors().     See dpriors() help file information. n.chains Number desired MCMC chains. burnin Number burnin/warmup iterations (including adaptive   iterations, target=\"jags\"). Defaults 4000 target=\"jags\"   500 Stan targets. sample total number samples take burnin. Defaults 10000 target=\"jags\" 1000 Stan targets. adapt target=\"jags\", number adaptive iterations use start   sampling. Defaults 1000. mcmcfile TRUE, JAGS/Stan model written file   (lavExport directory). Can also supply character   string, serves name directory files written. mcmcextra list potential names syntax (unavailable   target=\"stan\"),   monitor, data, llnsamp. syntax object text string containing extra   code insert JAGS/Stan model syntax. data object   list extra data send JAGS/Stan model.    moment_match_k_threshold specified within data looic    model calculated using moment matching. monitor object   character vector containing extra JAGS/Stan parameters   monitor. llnsamp object relevant models ordinal   variables, specifies number samples drawn approximate   model log-likelihood (larger numbers imply higher accuracy   longer time). log-likelihood specifically used compute   information criteria. inits character string, options currently     \"simple\" (default), \"Mplus\", \"prior\", \"jags\".  first two     cases, parameter values set though estimated via     ML (see lavaan).  starting parameter value     chain perturbed original values     addition random uniform noise.  \"prior\" used, starting     parameter values obtained based prior distributions     (also trying ensure starting values crash     model estimation).  \"jags\", starting values     specified JAGS choose values (probably     crash Stan targets). can also supply     list starting values chain, list format can     obtained , e.g., blavInspect(fit, \"inits\"). Finally,     can specify starting values similar way lavaan,     using lavaan start argument (see lavaan     documentation options ). case, also set     inits=\"simple\", aware starting values     used chain. convergence Useful target=\"jags\". \"auto\", parameters   sampled convergence achieved (via autorun.jags()).   case, arguments burnin sample passed   autorun.jags() startburnin startsample,   respectively. Otherwise, parameters   sampled specified user (run.jags   defaults). target Desired MCMC sampling, \"stan\" (pre-compiled   marginal approach)   default. Also available \"vb\", calls rstan function   vb(). options include \"jags\", \"stancond\",   \"stanclassic\", sample latent variables provide   greater functionality (syntax written \"fly\").   slower less efficient. save.lvs sampled latent variables (factor scores)   saved? Logical; defaults FALSE wiggle Labels equality-constrained parameters   \"approximately\" equal. Can also \"intercepts\", \"loadings\",   \"regressions\", \"means\". wiggle.sd prior sd (normal distribution) used approximate equality   constraints. Can one value, (target=\"stan\") numeric vector   values length wiggle. prisamp samples drawn prior, instead   posterior (target=\"stan\" )? Logical; defaults FALSE jags.ic DIC computed JAGS way, addition BUGS way? Logical; defaults FALSE seed vector length n.chains (target   \"jags\") integer (target \"stan\") containing random   seeds MCMC run. NULL, seeds chosen randomly. bcontrol list containing additional parameters passed     run.jags (autorun.jags) stan.  See manpage functions     overview additional parameters can set.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/bcfa.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Fit Confirmatory Factor Analysis Models — bcfa","text":"bcfa function wrapper general     blavaan function, using following default     lavaan arguments:     int.ov.free = TRUE, int.lv.free = FALSE,     auto.fix.first = TRUE (unless std.lv = TRUE),     auto.fix.single = TRUE, auto.var = TRUE,     auto.cov.lv.x = TRUE,     auto.th = TRUE, auto.delta = TRUE,     auto.cov.y = TRUE.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/bcfa.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Fit Confirmatory Factor Analysis Models — bcfa","text":"object class lavaan, several methods   available, including summary method.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/bcfa.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Fit Confirmatory Factor Analysis Models — bcfa","text":"Edgar C. Merkle, Ellen Fitzsimmons, James Uanhoro, & Ben Goodrich (2021). Efficient Bayesian Structural Equation Modeling Stan. Journal Statistical Software, 100(6), 1-22. URL http://www.jstatsoft.org/v100/i06/. Edgar C. Merkle & Yves Rosseel (2018). blavaan: Bayesian Structural Equation Models via Parameter Expansion. Journal Statistical Software, 85(4), 1-30. URL http://www.jstatsoft.org/v85/i04/. Yves Rosseel (2012). lavaan: R Package Structural Equation Modeling. Journal Statistical Software, 48(2), 1-36. URL http://www.jstatsoft.org/v48/i02/.","code":""},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/reference/bcfa.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Fit Confirmatory Factor Analysis Models — bcfa","text":"","code":"if (FALSE) { # The Holzinger and Swineford (1939) example HS.model <- ' visual  =~ x1 + x2 + x3               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9 '  fit <- bcfa(HS.model, data=HolzingerSwineford1939) summary(fit) }"},{"path":"http://ecmerkle.github.io/blavaan/reference/bgrowth.html","id":null,"dir":"Reference","previous_headings":"","what":"Fit Growth Curve Models — bgrowth","title":"Fit Growth Curve Models — bgrowth","text":"Fit Growth Curve model.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/bgrowth.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fit Growth Curve Models — bgrowth","text":"","code":"bgrowth(..., cp = \"srs\", dp = NULL, n.chains = 3, burnin, sample, adapt, mcmcfile = FALSE, mcmcextra = list(),  inits = \"simple\", convergence = \"manual\", target = \"stan\", save.lvs = FALSE, wiggle = NULL, wiggle.sd = 0.1, prisamp = FALSE, jags.ic = FALSE, seed = NULL, bcontrol = list())"},{"path":"http://ecmerkle.github.io/blavaan/reference/bgrowth.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fit Growth Curve Models — bgrowth","text":"... Default lavaan arguments.  See lavaan. cp Handling prior distributions covariance parameters:   possible values \"srs\" (default) \"fa\". Option \"fa\" available target=\"jags\". dp Default prior distributions different types     parameters, typically result call dpriors().     See dpriors() help file information. n.chains Number desired MCMC chains. burnin Number burnin/warmup iterations (including adaptive   iterations, target=\"jags\"). Defaults 4000 target=\"jags\"   500 Stan targets. sample total number samples take burnin. Defaults 10000 target=\"jags\" 1000 Stan targets. adapt target=\"jags\", number adaptive iterations use start   sampling. Defaults 1000. mcmcfile TRUE, JAGS/Stan model written file   (lavExport directory). Can also supply character   string, serves name directory files written. mcmcextra list potential names syntax (unavailable   target=\"stan\"),   monitor, data, llnsamp. syntax object text string containing extra   code insert JAGS/Stan model syntax. data object   list extra data send JAGS/Stan model.    moment_match_k_threshold specified within data looic    model calculated using moment matching. monitor object   character vector containing extra JAGS/Stan parameters   monitor. llnsamp object relevant models ordinal   variables, specifies number samples drawn approximate   model log-likelihood (larger numbers imply higher accuracy   longer time). log-likelihood specifically used compute   information criteria. inits character string, options currently     \"simple\" (default), \"Mplus\", \"prior\", \"jags\".  first two     cases, parameter values set though estimated via     ML (see lavaan).  starting parameter value     chain perturbed original values     addition random uniform noise.  \"prior\" used, starting     parameter values obtained based prior distributions     (also trying ensure starting values crash     model estimation).  \"jags\", starting values     specified JAGS choose values (probably     crash Stan targets). can also supply     list starting values chain, list format can     obtained , e.g., blavInspect(fit, \"inits\"). Finally,     can specify starting values similar way lavaan,     using lavaan start argument (see lavaan     documentation options ). case, also set     inits=\"simple\", aware starting values     used chain. convergence Useful target=\"jags\". \"auto\", parameters   sampled convergence achieved (via autorun.jags()).   case, arguments burnin sample passed   autorun.jags() startburnin startsample,   respectively. Otherwise, parameters   sampled specified user (run.jags   defaults). target Desired MCMC sampling, \"stan\" (pre-compiled   marginal approach)   default. Also available \"vb\", calls rstan function   vb(). options include \"jags\", \"stancond\",   \"stanclassic\", sample latent variables provide   greater functionality (syntax written \"fly\").   slower less efficient. save.lvs sampled latent variables (factor scores)   saved? Logical; defaults FALSE wiggle Labels equality-constrained parameters   \"approximately\" equal. Can also \"intercepts\", \"loadings\",   \"regressions\", \"means\". wiggle.sd prior sd (normal distribution) used approximate equality   constraints. Can one value, (target=\"stan\") numeric vector   values length wiggle. prisamp samples drawn prior, instead   posterior (target=\"stan\" )? Logical; defaults FALSE jags.ic DIC computed JAGS way, addition BUGS way? Logical; defaults FALSE seed vector length n.chains (target   \"jags\") integer (target \"stan\") containing random   seeds MCMC run. NULL, seeds chosen randomly. bcontrol list containing additional parameters passed     run.jags (autorun.jags) stan.  See manpage functions     overview additional parameters can set.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/bgrowth.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Fit Growth Curve Models — bgrowth","text":"bgrowth function wrapper general       blavaan function, using following default       lavaan arguments:     meanstructure = TRUE,      int.ov.free = FALSE, int.lv.free = TRUE,     auto.fix.first = TRUE (unless std.lv = TRUE),     auto.fix.single = TRUE, auto.var = TRUE,     auto.cov.lv.x = TRUE,      auto.th = TRUE, auto.delta = TRUE,     auto.cov.y = TRUE.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/bgrowth.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Fit Growth Curve Models — bgrowth","text":"object class blavaan, several methods   available, including summary method.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/bgrowth.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Fit Growth Curve Models — bgrowth","text":"Edgar C. Merkle, Ellen Fitzsimmons, James Uanhoro, & Ben Goodrich (2021). Efficient Bayesian Structural Equation Modeling Stan. Journal Statistical Software, 100(6), 1-22. URL http://www.jstatsoft.org/v100/i06/. Edgar C. Merkle & Yves Rosseel (2018). blavaan: Bayesian Structural Equation Models via Parameter Expansion. Journal Statistical Software, 85(4), 1-30. URL http://www.jstatsoft.org/v85/i04/. Yves Rosseel (2012). lavaan: R Package Structural Equation Modeling. Journal Statistical Software, 48(2), 1-36. URL http://www.jstatsoft.org/v48/i02/.","code":""},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/reference/bgrowth.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Fit Growth Curve Models — bgrowth","text":"","code":"if (FALSE) { ## linear growth model with a time-varying covariate model.syntax <- '   # intercept and slope with fixed coefficients     i =~ 1*t1 + 1*t2 + 1*t3 + 1*t4     s =~ 0*t1 + 1*t2 + 2*t3 + 3*t4    # regressions     i ~ x1 + x2     s ~ x1 + x2    # time-varying covariates     t1 ~ c1     t2 ~ c2     t3 ~ c3     t4 ~ c4 '  fit <- bgrowth(model.syntax, data=Demo.growth) summary(fit) }"},{"path":"http://ecmerkle.github.io/blavaan/reference/blavCompare.html","id":null,"dir":"Reference","previous_headings":"","what":"Bayesian model comparisons — blavCompare","title":"Bayesian model comparisons — blavCompare","text":"Bayesian model comparisons, including WAIC, LOO, Bayes factor approximation.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavCompare.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Bayesian model comparisons — blavCompare","text":"","code":"blavCompare(object1, object2, ...)"},{"path":"http://ecmerkle.github.io/blavaan/reference/blavCompare.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Bayesian model comparisons — blavCompare","text":"object1 object class blavaan. object2 second object class blavaan. ... arguments (unused now).","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavCompare.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Bayesian model comparisons — blavCompare","text":"function approximates log-Bayes factor two candidate models using Laplace approximation model's marginal log-likelihood.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavCompare.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Bayesian model comparisons — blavCompare","text":"log-Bayes factor approximation, along model's approximate marginal log-likelihood.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavCompare.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Bayesian model comparisons — blavCompare","text":"Raftery, . E. (1993). Bayesian model selection structural equation models. K. . Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 163-180). Beverly Hills, CA: Sage.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavCompare.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Bayesian model comparisons — blavCompare","text":"","code":"if (FALSE) { hsm1 <- ' visual  =~ x1 + x2 + x3 + x4           textual =~ x4 + x5 + x6           speed   =~ x7 + x8 + x9 '  fit1 <- bcfa(hsm1, data=HolzingerSwineford1939)  hsm2 <- ' visual  =~ x1 + x2 + x3           textual =~ x4 + x5 + x6 + x7           speed   =~ x7 + x8 + x9 '  fit2 <- bcfa(hsm2, data=HolzingerSwineford1939)  blavCompare(fit1, fit2) }"},{"path":"http://ecmerkle.github.io/blavaan/reference/blavFitIndices.html","id":null,"dir":"Reference","previous_headings":"","what":"SEM Fit Indices for Bayesian SEM — blavFitIndices","title":"SEM Fit Indices for Bayesian SEM — blavFitIndices","text":"function provides posterior distribution \\(\\chi^2\\)-based fit indices assess global fit latent variable model.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavFitIndices.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"SEM Fit Indices for Bayesian SEM — blavFitIndices","text":"","code":"blavFitIndices(object, thin = 1L, pD = c(\"loo\",\"waic\",\"dic\"),                rescale = c(\"devM\",\"ppmc\",\"mcmc\"),                fit.measures = \"all\", baseline.model = NULL)  ## S4 method for signature 'blavFitIndices' # S4 method for blavFitIndices summary(object, ...)  # S3 method for bfi summary(object, central.tendency = c(\"mean\",\"median\",\"mode\"),         hpd = TRUE, prob = .90)"},{"path":"http://ecmerkle.github.io/blavaan/reference/blavFitIndices.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"SEM Fit Indices for Bayesian SEM — blavFitIndices","text":"object object class blavaan. thin Optional integer indicating much thin chain.     Default 1L, indicating thin chains. pD character indicating information criterion     returned fitMeasures(object) use estimated number     parameters. default leave-one-information criterion     (LOO-IC), highly recommended Vehtari et al. (2017). rescale character indicating method used calculate     fit indices. rescale = \"devM\" (default), Bayesian analog     \\(\\chi^2\\) statistic (deviance evaluated posterior mean     model parameters) approximated rescaling deviance     iteration subtracting estimated number parameters.     rescale = \"PPMC\", deviance iteration rescaled     subtracting deviance data simulated posterior predictive     distribution (posterior predictive model checking; see Hoofs et al.,     2017). rescale = \"MCMC\", fit measures simply calculated     using fitMeasures iteration Markov     chain(s), based model-implied moments iteration (advised     model includes informative priors, case model's     estimated pD deviate number parameters used     calculate df fitMeasures). fit.measures \"\", fit measures available     returned. single fit measures specified name,     computed returned. rescale = \"devM\"     \"PPMC\", currently available indices \"BRMSEA\",     \"BGammaHat\", \"adjBGammaHat\", \"BMc\", \"BCFI\",     \"BTLI\", \"BNFI\". rescale = \"MCMC\", user may     request indices returned fitMeasures     objects class lavaan. baseline.model NULL, object class     blavaan, representing user-specified baseline model.     baseline.model provided, incremental fit indices (BCFI,     BTLI, BNFI) can requested fit.measures. Ignored     rescale = \"MCMC\". ... Additional arguments summary method: central.tendency Takes values \"mean\", \"median\", \"mode\", indicating statistics     used characterize location posterior distribution.     default, 3 statistics returned. posterior mean labeled     EAP expected posteriori estimate, mode     labeled MAP modal posteriori     estimate. hpd logical indicating whether calculate highest     posterior density (HPD) credible interval fit     index (defaults TRUE). prob \"confidence\" level   credible interval(s) (defaults 0.9).","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavFitIndices.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"SEM Fit Indices for Bayesian SEM — blavFitIndices","text":"S4 object class blavFitIndices consisting 2 slots: @details list containing choices made user     (defaults; e.g., values pD rescale set),     well posterior distribution \\(\\chi^2\\) (deviance)     statistic (rescaled, rescale = \"devM\" \"PPMC\"). @indices list containing posterior distribution     requested fit.measure. summary() method returns data.frame containing one row   requested fit.measure, columns containing specified   measure(s) central.tendency, posterior SD,   (requested) HPD credible-interval limits.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavFitIndices.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"SEM Fit Indices for Bayesian SEM — blavFitIndices","text":"Mauricio Garnier-Villareal (Vrije Universiteit Amsterdam; mgv@pm.) Terrence D. Jorgensen (University Amsterdam; TJorgensen314@gmail.com)","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavFitIndices.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"SEM Fit Indices for Bayesian SEM — blavFitIndices","text":"rescale = \"PPMC\" based : Hoofs, H., van de Schoot, R., Jansen, N. W., & Kant, . (2017).   Evaluating model fit Bayesian confirmatory factor analysis large   samples: Simulation study introducing BRMSEA.   Educational Psychological Measurement. doi:10.1177/0013164417709314 rescale = \"devM\" based : Garnier-Villarreal, M., & Jorgensen, T. D. (2020).  Adapting Fit Indices Bayesian Structural Equation Modeling: Comparison Maximum Likelihood.  Psychological Methods, 25(1), 46--70. https://doi.org/dx.doi.org/10.1037/met0000224   (See also https://osf.io/afkcw/) references: Vehtari, ., Gelman, ., & Gabry, J. (2017). Practical Bayesian model   evaluation using leave-one-cross-validation WAIC.   Statistics Computing, 27(5), 1413--1432.   doi:10.1007/s11222-016-9696-4","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavFitIndices.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"SEM Fit Indices for Bayesian SEM — blavFitIndices","text":"","code":"if (FALSE) { HS.model <- ' visual  =~ x1 + x2 + x3               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9 ' ## fit target model fit1 <- bcfa(HS.model, data = HolzingerSwineford1939,               n.chains = 2, burnin = 1000, sample = 1000)  ## fit null model to calculate CFI, TLI, and NFI null.model <- c(paste0(\"x\", 1:9, \" ~~ x\", 1:9), paste0(\"x\", 1:9, \" ~ 1\")) fit0 <- bcfa(null.model, data = HolzingerSwineford1939,               n.chains = 2, burnin = 1000, sample = 1000)  ## calculate posterior distributions of fit indices  ## The default method mimics fit indices derived from ML estimation ML <- blavFitIndices(fit1, baseline.model = fit0) ML summary(ML)  ## other options:  ## - use Hoofs et al.'s (2017) PPMC-based method ## - use the estimated number of parameters from WAIC instead of LOO-IC PPMC <- blavFitIndices(fit1, baseline.model = fit0,                        pD = \"waic\", rescale = \"PPMC\") ## issues a warning about using rescale=\"PPMC\" with N < 1000 (see Hoofs et al.)  ## - specify only the desired measures of central tendency ## - specify a different \"confidence\" level for the credible intervals summary(PPMC, central.tendency = c(\"mean\",\"mode\"), prob = .95)    ## Access the posterior distributions for further investigation head(distML <- data.frame(ML@indices))  ## For example, diagnostic plots using the bayesplot package:  ## distinguish chains nChains <- blavInspect(fit1, \"n.chains\") distML$Chain <- rep(1:nChains, each = nrow(distML) / nChains)  library(bayesplot) mcmc_pairs(distML, pars = c(\"BRMSEA\",\"BMc\",\"BGammaHat\",\"BCFI\",\"BTLI\"),            diag_fun = \"hist\") ## Indices are highly correlated across iterations in both chains  ## Compare to PPMC method distPPMC <- data.frame(PPMC@indices) distPPMC$Chain <- rep(1:nChains, each = nrow(distPPMC) / nChains) mcmc_pairs(distPPMC, pars = c(\"BRMSEA\",\"BMc\",\"BGammaHat\",\"BCFI\",\"BTLI\"),            diag_fun = \"dens\") ## nonlinear relation between BRMSEA, related to the floor effect of BRMSEA ## that Hoofs et al. found for larger (12-indicator) models  }"},{"path":"http://ecmerkle.github.io/blavaan/reference/blavInspect.html","id":null,"dir":"Reference","previous_headings":"","what":"Inspect or Extract Information from a Fitted blavaan Object — blavInspect","title":"Inspect or Extract Information from a Fitted blavaan Object — blavInspect","text":"blavInspect() blavTech() functions can used inspect/extract information stored inside (can computed ) fitted blavaan object. similar lavaan's lavInspect() function.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavInspect.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Inspect or Extract Information from a Fitted blavaan Object — blavInspect","text":"","code":"blavInspect(blavobject, what, ...)  blavTech(blavobject, what, ...)"},{"path":"http://ecmerkle.github.io/blavaan/reference/blavInspect.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Inspect or Extract Information from a Fitted blavaan Object — blavInspect","text":"blavobject object class blavaan. Character. needs inspected/extracted? See Details Bayes-specific options, see lavaan's lavInspect() additional options. Note: argument case-sensitive (everything converted lower case.) ... lavaan arguments supplied lavInspect(); see lavaan.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavInspect.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Inspect or Extract Information from a Fitted blavaan Object — blavInspect","text":"list Bayesian-specific values argument; additional values can found lavInspect() documentation. \"start\": list starting values chain, unless inits=\"jags\" used model estimation. Aliases: \"starting.values\", \"inits\". \"rhat\": parameter's potential scale reduction     factor convergence assessment. Can also use \"psrf\" instead \"rhat\" \"ac.10\": parameter's estimated lag-10 autocorrelation. \"neff\": parameters effective sample size, taking account autocorrelation. \"mcmc\": object class mcmc containing individual parameter draws MCMC run. Aliases: \"draws\", \"samples\". \"mcobj\": underlying run.jags stan object resulted MCMC run. \"n.chains\": number chains sampled. \"cp\": approach used estimating covariance     parameters (\"srs\" \"fa\"); relevant     using JAGS. \"dp\": Default prior distributions used type model parameter. \"postmode\": Estimated posterior mode free parameter. \"postmean\": Estimated posterior mean free parameter. \"postmedian\": Estimated posterior median free parameter. \"lvs\": object class mcmc containing latent variable (factor score) draws. two-level models, use level = 1 level = 2 specify factor scores want. \"lvmeans\": matrix mean factor scores (rows observations, columns variables). Use additional level argument way. \"hpd\": HPD interval free parameter. case, prob argument can used specify number (0,1) reflecting desired percentage interval.","code":""},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/reference/blavInspect.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Inspect or Extract Information from a Fitted blavaan Object — blavInspect","text":"","code":"if (FALSE) { # The Holzinger and Swineford (1939) example HS.model <- ' visual  =~ x1 + x2 + x3               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9 '  fit <- bcfa(HS.model, data = HolzingerSwineford1939,             bcontrol = list(method = \"rjparallel\"))  # extract information blavInspect(fit, \"psrf\") blavInspect(fit, \"hpd\", prob = .9) }"},{"path":"http://ecmerkle.github.io/blavaan/reference/blavPredict.html","id":null,"dir":"Reference","previous_headings":"","what":"Predict the values of latent variables, observed variables, and missing variables. — blavPredict","title":"Predict the values of latent variables, observed variables, and missing variables. — blavPredict","text":"purpose blavPredict() function compute various   types model predictions, conditioned observed data. differs   somewhat lavPredict() lavaan.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavPredict.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Predict the values of latent variables, observed variables, and missing variables. — blavPredict","text":"","code":"blavPredict(object, newdata = NULL, type = \"lv\", level = 1L)"},{"path":"http://ecmerkle.github.io/blavaan/reference/blavPredict.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Predict the values of latent variables, observed variables, and missing variables. — blavPredict","text":"object object class blavaan. newdata Currently unused. (optional data.frame, containing variables data.frame used fitting model object.) type character string. \"lv\", estimated values latent variables model computed. \"ov\" \"yhat\", predicted means observed variables model computed. \"ypred\" \"ydist\", predicted values observed variables (including residual noise) computed. \"ymis\" \"ovmis\", model predicted values (\"imputations\") missing data computed. See details information. level type = \"lv\", used specify whether one desires level 1 latent variables level 2 latent variables.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavPredict.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Predict the values of latent variables, observed variables, and missing variables. — blavPredict","text":"predict() function calls blavPredict() function default options. , provide information type option. options work target=\"stan\", \"number samples\" defined number posterior samples across chains. type=\"lv\": posterior distribution latent variables conditioned observed variables. Returns list \"number samples\" entries, entry matrix rows  observations columns latent variables. type=\"yhat\": posterior expected value observed variables conditioned sampled latent variables. Returns list \"number samples\" entries, entry matrix rows observations columns observed variables. type=\"ypred\": posterior predictive distribution observed variables conditioned sampled latent variables (including residual variances). Returns list \"number samples\" entries, entry data frame rows observations columns observed variables. type=\"ymis\": posterior predictive distribution missing values conditioned observed variables. Returns matrix \"number samples\" rows \"number missing variables\" columns.","code":""},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/reference/blavPredict.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Predict the values of latent variables, observed variables, and missing variables. — blavPredict","text":"","code":"if (FALSE) { data(HolzingerSwineford1939)  ## fit model HS.model <- ' visual  =~ x1 + x2 + x3               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9 '  fit <- bcfa(HS.model, data = HolzingerSwineford1939, save.lvs = TRUE) lapply(blavPredict(fit)[1:2], head) # first 6 rows of first 10 posterior samples head(blavPredict(fit, type = \"yhat\")[[1]]) # top of first posterior sample  ## multigroup models return a list of factor scores (one per group) mgfit <- bcfa(HS.model, data = HolzingerSwineford1939, group = \"school\",               group.equal = c(\"loadings\",\"intercepts\"), save.lvs = TRUE)  lapply(blavPredict(fit)[1:2], head) head(blavPredict(fit, type = \"ypred\")[[1]]) }"},{"path":"http://ecmerkle.github.io/blavaan/reference/blav_internal.html","id":null,"dir":"Reference","previous_headings":"","what":"blavaan internal functions — blav_internal","title":"blavaan internal functions — blav_internal","text":"Internal functions related Bayesian model estimation.   called user.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavaan-class.html","id":null,"dir":"Reference","previous_headings":"","what":"Class For Representing A (Fitted) Bayesian Latent Variable Model — blavaan-class","title":"Class For Representing A (Fitted) Bayesian Latent Variable Model — blavaan-class","text":"blavaan class contains lavaan   class, representing (fitted) Bayesian latent variable   model. contains description model specified user,   summary data, internal matrix representation, model   fitted, fitting results.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavaan-class.html","id":"objects-from-the-class","dir":"Reference","previous_headings":"","what":"Objects from the Class","title":"Class For Representing A (Fitted) Bayesian Latent Variable Model — blavaan-class","text":"Objects can created via   bcfa, bsem, bgrowth   blavaan functions.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavaan-class.html","id":"slots","dir":"Reference","previous_headings":"","what":"Slots","title":"Class For Representing A (Fitted) Bayesian Latent Variable Model — blavaan-class","text":"version: lavaan package version used create objects call: function call returned match.call(). timing: elapsed time (user+system) various parts       program list, including total time. Options: Named list options provided       user, filled-automatically. ParTable: Named list describing model parameters. Can coerced data.frame. documentation, called `parameter table'. pta: Named list containing parameter table attributes. Data: Object internal class \"Data\": information data. SampleStats: Object internal class \"SampleStats\": sample       statistics Model: Object internal class \"Model\":       internal (matrix) representation model Cache: List using objects try compute , reuse many times. Fit: Object internal class \"Fit\":       results fitting model. longer used. boot: List. Unused Bayesian models. optim: List. Information optimization. loglik: List. Information loglikelihood model (maximum likelihood used). implied: List. Model implied statistics. vcov: List. Information variance matrix (vcov) model parameters. test: List. Different test statistics. h1: List. Information unrestricted h1 model (available). baseline: List. Information baseline model (often independence model) (available). external: List. Includes Stan JAGS objects used MCMC.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavaan-class.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Class For Representing A (Fitted) Bayesian Latent Variable Model — blavaan-class","text":"coef signature(object = \"blavaan\", type = \"free\"): Returns       estimates parameters model named numeric vector.       type=\"free\", free parameters returned.       type=\"user\", parameters listed parameter table       returned, including constrained fixed parameters. vcov signature(object = \"lavaan\"): returns       covariance matrix estimated parameters. show signature(object = \"blavaan\"): Print short summary       model fit summary signature(object = \"blavaan\", header = TRUE,      fit.measures = FALSE, estimates = TRUE, ci = TRUE,       standardized = FALSE, rsquare = FALSE, std.nox = FALSE,      psrf = TRUE, neff = FALSE, postmedian = FALSE, postmode = FALSE,      priors = TRUE, bf = FALSE, nd = 3L):       Print nice summary model estimates.       header = TRUE, header section (including fit measures)       printed.       fit.measures = TRUE, additional fit measures added       header section.       estimates = TRUE, print parameter estimates section.       ci = TRUE, add confidence intervals parameter estimates       section.       standardized = TRUE,       standardized solution also printed.  Note SEs       tests still based unstandardized estimates. Use       standardizedSolution obtain SEs test       statistics standardized estimates.       rsquare=TRUE, R-Square values dependent variables       model printed.       std.nox = TRUE, std.column contains       std.nox column parameterEstimates() output.       psrf = TRUE, potential scale reduction factors (Rhats)       printed.       neff = TRUE, effective sample sizes printed.       postmedian postmode TRUE, posterior       medians modes printed instead posterior means.       priors = TRUE, parameter prior distributions       printed.       bf = TRUE, Savage-Dickey approximations Bayes       factor printed certain parameters.       Nothing returned (use       lavInspect another extractor function       extract information fitted model).","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavaan-class.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Class For Representing A (Fitted) Bayesian Latent Variable Model — blavaan-class","text":"Edgar C. Merkle, Ellen Fitzsimmons, James Uanhoro, & Ben Goodrich (2021). Efficient Bayesian Structural Equation Modeling Stan. Journal Statistical Software, 100(6), 1-22. URL http://www.jstatsoft.org/v100/i06/. Edgar C. Merkle & Yves Rosseel (2018). blavaan: Bayesian Structural Equation Models via Parameter Expansion. Journal Statistical Software, 85(4), 1-30. URL http://www.jstatsoft.org/v85/i04/. Yves Rosseel (2012). lavaan: R Package Structural Equation Modeling. Journal Statistical Software, 48(2), 1-36. URL http://www.jstatsoft.org/v48/i02/.","code":""},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/reference/blavaan-class.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Class For Representing A (Fitted) Bayesian Latent Variable Model — blavaan-class","text":"","code":"if (FALSE) { HS.model <- ' visual  =~ x1 + x2 + x3               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9 '  fit <- bcfa(HS.model, data=HolzingerSwineford1939)  summary(fit, standardized=TRUE, fit.measures=TRUE, rsquare=TRUE) coef(fit) }"},{"path":"http://ecmerkle.github.io/blavaan/reference/blavaan.html","id":null,"dir":"Reference","previous_headings":"","what":"Fit a Bayesian Latent Variable Model — blavaan","title":"Fit a Bayesian Latent Variable Model — blavaan","text":"Fit Bayesian latent variable model.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavaan.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fit a Bayesian Latent Variable Model — blavaan","text":"","code":"blavaan(..., cp = \"srs\",     dp = NULL, n.chains = 3, burnin, sample,     adapt, mcmcfile = FALSE, mcmcextra = list(), inits = \"simple\",     convergence = \"manual\", target = \"stan\", save.lvs = FALSE,     wiggle = NULL, wiggle.sd = 0.1, prisamp = FALSE, jags.ic = FALSE,     seed = NULL, bcontrol = list())"},{"path":"http://ecmerkle.github.io/blavaan/reference/blavaan.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fit a Bayesian Latent Variable Model — blavaan","text":"... Default lavaan arguments.  See lavaan. cp Handling prior distributions covariance parameters:   possible values \"srs\" (default) \"fa\".  Option   \"fa\" available target=\"jags\". dp Default prior distributions different types     parameters, typically result call dpriors().     See dpriors() help file information. n.chains Number desired MCMC chains. burnin Number burnin/warmup iterations (including adaptive   iterations, target=\"jags\"). Defaults 4000 target=\"jags\"   500 Stan targets. sample total number samples take burnin. Defaults 10000 target=\"jags\" 1000 Stan targets. adapt target=\"jags\", number adaptive iterations use start   sampling. Defaults 1000. mcmcfile TRUE, JAGS/Stan model data written   files (lavExport directory). Can also supply character   string, serves name directory files written. mcmcextra list potential names syntax (unavailable   target=\"stan\"),   monitor, data, llnsamp. syntax object text string containing extra   code insert JAGS/Stan model syntax. data object   list extra data send JAGS/Stan model.    moment_match_k_threshold specified within data looic    model calculated using moment matching. monitor object   character vector containing extra JAGS/Stan parameters   monitor. llnsamp object relevant models ordinal   variables, specifies number samples drawn approximate   model log-likelihood (larger numbers imply higher accuracy   longer time). log-likelihood specifically used compute   information criteria. inits character string, options currently     \"simple\" (default), \"Mplus\", \"prior\", \"jags\".  first two     cases, parameter values set though estimated via     ML (see lavaan).  starting parameter value     chain perturbed original values     addition random uniform noise.  \"prior\" used, starting     parameter values obtained based prior distributions     (also trying ensure starting values crash     model estimation).  \"jags\", starting values     specified JAGS choose values (probably     crash Stan targets). can also supply     list starting values chain, list format can     obtained , e.g., blavInspect(fit, \"inits\"). Finally,     can specify starting values similar way lavaan,     using lavaan start argument (see lavaan     documentation options ). case, also set     inits=\"simple\", aware starting values     used chain. convergence Useful target=\"jags\". \"auto\", parameters   sampled convergence achieved (via autorun.jags()).   case, arguments burnin sample passed   autorun.jags() startburnin startsample,   respectively. Otherwise, parameters   sampled specified user (run.jags   defaults). target Desired MCMC sampling, \"stan\" (pre-compiled   marginal approach)   default. Also available \"vb\", calls rstan function   vb(). options include \"jags\", \"stancond\",   \"stanclassic\", sample latent variables provide   greater functionality (syntax written \"fly\").   slower less efficient. save.lvs sampled latent variables (factor scores)   saved? Logical; defaults FALSE wiggle Labels equality-constrained parameters   \"approximately\" equal. Can also \"intercepts\", \"loadings\",   \"regressions\", \"means\". wiggle.sd prior sd (normal distribution) used approximate equality   constraints. Can one value, (target=\"stan\") numeric vector   values length wiggle. prisamp samples drawn prior, instead   posterior (target=\"stan\" )? Logical; defaults FALSE jags.ic DIC computed JAGS way, addition BUGS way? Logical; defaults FALSE seed vector length n.chains (target   \"jags\") integer (target \"stan\") containing random   seeds MCMC run. NULL, seeds chosen randomly. bcontrol list containing additional parameters passed     run.jags (autorun.jags) stan.  See manpage functions     overview additional parameters can set.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavaan.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Fit a Bayesian Latent Variable Model — blavaan","text":"object inherits class lavaan, several methods   available, including summary method.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/blavaan.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Fit a Bayesian Latent Variable Model — blavaan","text":"Edgar C. Merkle, Ellen Fitzsimmons, James Uanhoro, & Ben Goodrich (2021). Efficient Bayesian Structural Equation Modeling Stan. Journal Statistical Software, 100(6), 1-22. URL http://www.jstatsoft.org/v100/i06/. Edgar C. Merkle & Yves Rosseel (2018). blavaan: Bayesian Structural Equation Models via Parameter Expansion. Journal Statistical Software, 85(4), 1-30. URL http://www.jstatsoft.org/v85/i04/. Yves Rosseel (2012). lavaan: R Package Structural Equation Modeling. Journal Statistical Software, 48(2), 1-36. URL http://www.jstatsoft.org/v48/i02/.","code":""},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/reference/blavaan.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Fit a Bayesian Latent Variable Model — blavaan","text":"","code":"if (FALSE) { # The Holzinger and Swineford (1939) example HS.model <- ' visual  =~ x1 + x2 + x3               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9 '  fit <- blavaan(HS.model, data=HolzingerSwineford1939,                auto.var=TRUE, auto.fix.first=TRUE,                auto.cov.lv.x=TRUE) summary(fit) coef(fit) }"},{"path":"http://ecmerkle.github.io/blavaan/reference/bsem.html","id":null,"dir":"Reference","previous_headings":"","what":"Fit Structural Equation Models — bsem","title":"Fit Structural Equation Models — bsem","text":"Fit Structural Equation Model (SEM).","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/bsem.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fit Structural Equation Models — bsem","text":"","code":"bsem(..., cp = \"srs\",      dp = NULL, n.chains = 3, burnin, sample,      adapt, mcmcfile = FALSE, mcmcextra = list(), inits = \"simple\",      convergence = \"manual\", target = \"stan\", save.lvs = FALSE,      wiggle = NULL, wiggle.sd = 0.1, prisamp = FALSE, jags.ic = FALSE,      seed = NULL, bcontrol = list())"},{"path":"http://ecmerkle.github.io/blavaan/reference/bsem.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fit Structural Equation Models — bsem","text":"... Default lavaan arguments.  See lavaan. cp Handling prior distributions covariance parameters:   possible values \"srs\" (default) \"fa\". Option \"fa\" available target=\"jags\". dp Default prior distributions different types     parameters, typically result call dpriors().     See dpriors() help file information. n.chains Number desired MCMC chains. burnin Number burnin/warmup iterations (including adaptive   iterations, target=\"jags\"). Defaults 4000 target=\"jags\"   500 Stan targets. sample total number samples take burnin. Defaults 10000 target=\"jags\" 1000 Stan targets. adapt target=\"jags\", number adaptive iterations use start   sampling. Defaults 1000. mcmcfile TRUE, JAGS/Stan model written file   (lavExport directory). Can also supply character   string, serves name directory files written. mcmcextra list potential names syntax (unavailable   target=\"stan\"),   monitor, data, llnsamp. syntax object text string containing extra   code insert JAGS/Stan model syntax. data object   list extra data send JAGS/Stan model.    moment_match_k_threshold specified within data looic    model calculated using moment matching. monitor object   character vector containing extra JAGS/Stan parameters   monitor. llnsamp object relevant models ordinal   variables, specifies number samples drawn approximate   model log-likelihood (larger numbers imply higher accuracy   longer time). log-likelihood specifically used compute   information criteria. inits character string, options currently     \"simple\" (default), \"Mplus\", \"prior\", \"jags\".  first two     cases, parameter values set though estimated via     ML (see lavaan).  starting parameter value     chain perturbed original values     addition random uniform noise.  \"prior\" used, starting     parameter values obtained based prior distributions     (also trying ensure starting values crash     model estimation).  \"jags\", starting values     specified JAGS choose values (probably     crash Stan targets). can also supply     list starting values chain, list format can     obtained , e.g., blavInspect(fit, \"inits\"). Finally,     can specify starting values similar way lavaan,     using lavaan start argument (see lavaan     documentation options ). case, also set     inits=\"simple\", aware starting values     used chain. convergence Useful target=\"jags\". \"auto\", parameters   sampled convergence achieved (via autorun.jags()).   case, arguments burnin sample passed   autorun.jags() startburnin startsample,   respectively. Otherwise, parameters   sampled specified user (run.jags   defaults). target Desired MCMC sampling, \"stan\" (pre-compiled   marginal approach)   default. Also available \"vb\", calls rstan function   vb(). options include \"jags\", \"stancond\",   \"stanclassic\", sample latent variables provide   greater functionality (syntax written \"fly\").   slower less efficient. save.lvs sampled latent variables (factor scores) saved? Logical; defaults FALSE wiggle Labels equality-constrained parameters   \"approximately\" equal. Can also \"intercepts\", \"loadings\",   \"regressions\", \"means\". wiggle.sd prior sd (normal distribution) used approximate equality   constraints. Can one value, (target=\"stan\") numeric vector   values length wiggle. prisamp samples drawn prior, instead   posterior (target=\"stan\" )? Logical; defaults FALSE jags.ic DIC computed JAGS way, addition BUGS way? Logical; defaults FALSE seed vector length n.chains (target   \"jags\") integer (target \"stan\") containing random   seeds MCMC run. NULL, seeds chosen randomly. bcontrol list containing additional parameters passed     run.jags (autorun.jags) stan.  See manpage functions     overview additional parameters can set.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/bsem.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Fit Structural Equation Models — bsem","text":"bsem function wrapper general     blavaan function, using following default     lavaan arguments:     int.ov.free = TRUE, int.lv.free = FALSE,     auto.fix.first = TRUE (unless std.lv = TRUE),     auto.fix.single = TRUE, auto.var = TRUE,     auto.cov.lv.x = TRUE,     auto.th = TRUE, auto.delta = TRUE,     auto.cov.y = TRUE.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/bsem.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Fit Structural Equation Models — bsem","text":"object class lavaan, several methods   available, including summary method.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/bsem.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Fit Structural Equation Models — bsem","text":"Edgar C. Merkle, Ellen Fitzsimmons, James Uanhoro, & Ben Goodrich (2021). Efficient Bayesian Structural Equation Modeling Stan. Journal Statistical Software, 100(6), 1-22. URL http://www.jstatsoft.org/v100/i06/. Edgar C. Merkle & Yves Rosseel (2018). blavaan: Bayesian Structural Equation Models via Parameter Expansion. Journal Statistical Software, 85(4), 1-30. URL http://www.jstatsoft.org/v85/i04/. Yves Rosseel (2012). lavaan: R Package Structural Equation Modeling. Journal Statistical Software, 48(2), 1-36. URL http://www.jstatsoft.org/v48/i02/.","code":""},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/reference/bsem.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Fit Structural Equation Models — bsem","text":"","code":"if (FALSE) { ## The industrialization and Political Democracy Example ## Bollen (1989), page 332 model <- '   # latent variable definitions      ind60 =~ x1 + x2 + x3      dem60 =~ y1 + a*y2 + b*y3 + c*y4      dem65 =~ y5 + a*y6 + b*y7 + c*y8    # regressions     dem60 ~ ind60     dem65 ~ ind60 + dem60    # residual correlations     y1 ~~ y5     y2 ~~ y4 + y6     y3 ~~ y7     y4 ~~ y8     y6 ~~ y8 '  ## unique priors for mv intercepts; parallel chains fit <- bsem(model, data=PoliticalDemocracy,             dp=dpriors(nu=\"normal(5,10)\")) summary(fit) }"},{"path":"http://ecmerkle.github.io/blavaan/reference/dpriors.html","id":null,"dir":"Reference","previous_headings":"","what":"Specify Default Prior Distributions — dpriors","title":"Specify Default Prior Distributions — dpriors","text":"Specify \"default\" prior distributions classes model parameters.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/dpriors.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Specify Default Prior Distributions — dpriors","text":"","code":"dpriors(..., target = \"stan\")"},{"path":"http://ecmerkle.github.io/blavaan/reference/dpriors.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Specify Default Prior Distributions — dpriors","text":"... Parameter names paired desired priors (see example     ). target priors jags, stan (default), stanclassic?","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/dpriors.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Specify Default Prior Distributions — dpriors","text":"prior distributions always use JAGS/Stan syntax parameterizations.   example, normal distribution JAGS parameterized via   precision, whereas normal distribution Stan parameterized   via standard deviation. User-specified prior distributions specific parameters   (using prior() operator within model syntax) always   override prior distributions set using dpriors(). parameter names : nu: Observed variable intercept parameters. alpha: Latent variable intercept parameters. lambda: Loading parameters. beta: Regression parameters. itheta: Observed variable precision parameters. ipsi: Latent variable precision parameters. rho: Correlation parameters (associated covariance parameters). ibpsi: Inverse covariance matrix     blocks latent variables (used target=\"jags\"). tau: Threshold parameters (ordinal data ). delta: Delta parameters (ordinal data ).","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/dpriors.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Specify Default Prior Distributions — dpriors","text":"character vector containing prior distribution type parameter.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/dpriors.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Specify Default Prior Distributions — dpriors","text":"Edgar C. Merkle, Ellen Fitzsimmons, James Uanhoro, & Ben Goodrich (2021). Efficient Bayesian Structural Equation Modeling Stan. Journal Statistical Software, 100(6), 1-22. URL http://www.jstatsoft.org/v100/i06/. Edgar C. Merkle & Yves Rosseel (2018). blavaan: Bayesian Structural Equation Models via Parameter Expansion. Journal Statistical Software, 85(4), 1-30. URL http://www.jstatsoft.org/v85/i04/.","code":""},{"path":[]},{"path":"http://ecmerkle.github.io/blavaan/reference/dpriors.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Specify Default Prior Distributions — dpriors","text":"","code":"dpriors(nu = \"normal(0,10)\", lambda = \"normal(0,1)\", rho = \"beta(3,3)\") #>                nu             alpha            lambda              beta  #>    \"normal(0,10)\"    \"normal(0,10)\"     \"normal(0,1)\"    \"normal(0,10)\"  #>             theta               psi               rho             ibpsi  #> \"gamma(1,.5)[sd]\" \"gamma(1,.5)[sd]\"       \"beta(3,3)\" \"wishart(3,iden)\"  #>               tau  #>   \"normal(0,1.5)\""},{"path":"http://ecmerkle.github.io/blavaan/reference/plot.blavaan.html","id":null,"dir":"Reference","previous_headings":"","what":"blavaan Diagnostic Plots — plot.blavaan","title":"blavaan Diagnostic Plots — plot.blavaan","text":"Convenience functions create plots blavaan objects, via bayesplot package.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/plot.blavaan.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"blavaan Diagnostic Plots — plot.blavaan","text":"","code":"# S3 method for blavaan plot(x, pars = NULL, plot.type = \"trace\", showplot = TRUE, ...)"},{"path":"http://ecmerkle.github.io/blavaan/reference/plot.blavaan.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"blavaan Diagnostic Plots — plot.blavaan","text":"x object class blavaan. pars Parameter numbers plot, numbers correspond order parameters reported coef() (also shown 'free' column parTable). numbers provided, free parameters plotted. plot.type type plot desired. name MCMC function, without mcmc_ prefix. showplot plot sent graphic device? Defaults TRUE. ... arguments sent bayesplot function.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/plot.blavaan.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"blavaan Diagnostic Plots — plot.blavaan","text":"previous versions blavaan, plotting functionality   handled separately JAGS Stan (using plot functionality   packages runjags rstan, respectively). uniformity,   plotting functionality now handled bayesplot. users desire   additional functionality immediately available, can extract matrix MCMC draws via .matrix(blavInspect(x, 'mcmc')).","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/plot.blavaan.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"blavaan Diagnostic Plots — plot.blavaan","text":"invisible ggplot object , desired, can customized.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/plot.blavaan.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"blavaan Diagnostic Plots — plot.blavaan","text":"","code":"if (FALSE) { HS.model <- ' visual  =~ x1 + x2 + x3               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9 '  fit <- bcfa(HS.model, data=HolzingerSwineford1939)  # trace plots of free loadings plot(fit, pars = 1:6) }"},{"path":"http://ecmerkle.github.io/blavaan/reference/ppmc.html","id":null,"dir":"Reference","previous_headings":"","what":"Posterior Predictive Model Checks — ppmc","title":"Posterior Predictive Model Checks — ppmc","text":"function allows users conduct posterior predictive model check assess global local fit latent variable model using discrepancy function can applied lavaan model.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/ppmc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Posterior Predictive Model Checks — ppmc","text":"","code":"ppmc(object, thin = 1, fit.measures = c(\"srmr\",\"chisq\"), discFUN = NULL,      conditional = FALSE)  # S4 method for blavPPMC summary(object, ...)  # S3 method for ppmc summary(object, discFUN, dist = c(\"obs\",\"sim\"),         central.tendency = c(\"mean\",\"median\",\"mode\"),         hpd = TRUE, prob = .95, to.data.frame = FALSE, diag = TRUE,         sort.by = NULL, decreasing = FALSE)  # S3 method for blavPPMC plot(x, ..., discFUN, element, central.tendency = \"\",      hpd = TRUE, prob = .95, nd = 3)  # S3 method for blavPPMC hist(x, ..., discFUN, element, hpd = TRUE, prob = .95,      printLegend = TRUE, legendArgs = list(x = \"topleft\"),      densityArgs = list(), nd = 3)  # S3 method for blavPPMC pairs(x, discFUN, horInd = 1:DIM, verInd = 1:DIM,       printLegend = FALSE, ...)"},{"path":"http://ecmerkle.github.io/blavaan/reference/ppmc.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Posterior Predictive Model Checks — ppmc","text":"object,x object class blavaan. thin Optional integer indicating much thin chain.     Default 1L, indicating thin chains object. fit.measures character vector indicating names global     discrepancy measures returned fitMeasures. Ignored     unless discFUN NULL, users may include     fitMeasures list discrepancy functions     discFUN. ordinal models, \"logl\" \"chisq\"     computations done via lavaan. discFUN function, list functions, can     called object class lavaan. function     must return object whose mode numeric, may     vector, matrix, multidimensional array.     summary plot methods, discFUN     character indicating discrepancy function     summarize. conditional logical indicating whether , artificial data     generation, condition estimated latent   variables. Requires model estimated save.lvs = TRUE. element numeric character indicating index (    dimension discFUN output, multiple) plot. horInd,verInd Similar element, numeric     character vector indicating indices matrix plot     scatterplot matrix. horInd==verInd, histograms     plotted upper triangle. dist character indicating whether summarize distribution     discFUN either observed simulated data. central.tendency character indicating statistics     used characterize location posterior (predictive)     distribution. default, 3 statistics returned     summary method, none plot method. posterior     mean labeled EAP expected posteriori estimate,     mode labeled MAP modal posteriori estimate. hpd logical indicating whether calculate highest     posterior density (HPD) credible interval discFUN. prob \"confidence\" level credible interval(s). nd number digits print scatterplot. .data.frame logical indicating whether summary     symmetric 2-dimensional matrix returned discFUN     unique elements stored rows data.frame can sorted     convenience identifying large discrepancies. discFUN     returns asymmetric 2-dimensional matrix, list matrices     returned summary can also converted data.frame. diag Passed lower.tri .data.frame=TRUE. sort.character. summary returns data.frame,     can sorted column name using order. Note     discFUN returns asymmetric 2-dimensional matrix,     data.frame returned list sorted     independently, rows unlikely consistent across     summary statistics. decreasing Passed order     !.null(sort.). ... Additional graphical parameters     passed plot.default. printLegend logical. TRUE (default), legend     printed histogram legendArgs list arguments passed     legend function.  default argument list     placing legend top-left figure. densityArgs list arguments passed     density function, used obtain densities     hist method.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/ppmc.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Posterior Predictive Model Checks — ppmc","text":"S4 object class blavPPMC consisting 5 list slots: @discFUN user-supplied discFUN, call     fitMeasures returns fit.measures. @dims dimensions object returned     discFUN. @PPP posterior predictive p value     discFUN element. @obsDist posterior distribution realize values     discFUN applied observed data. @simDist posterior predictive distribution values     discFUN applied data simulated posterior samples. summary() method returns numeric vector discFUN returns scalar, data.frame one discrepancy function per row     discFUN returns numeric vector, list     one summary statistic per element discFUN returns matrix multidimensional array. plot pairs methods invisibly return NULL,   printing plot (scatterplot matrix) current device. hist method invisibly returns list arguments can   passed function list element named.  Users   can edit arguments list customize histograms.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/ppmc.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Posterior Predictive Model Checks — ppmc","text":"Terrence D. Jorgensen (University Amsterdam; TJorgensen314@gmail.com)","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/ppmc.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Posterior Predictive Model Checks — ppmc","text":"Levy, R. (2011). Bayesian data--model fit assessment structural equation   modeling. Structural Equation Modeling, 18(4), 663--685.   doi:10.1080/10705511.2011.607723","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/ppmc.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Posterior Predictive Model Checks — ppmc","text":"","code":"if (FALSE) { HS.model <- ' visual  =~ x1 + x2 + x3               textual =~ x4 + x5 + x6               speed   =~ x7 + x8 + x9 ' ## fit single-group model fit <- bcfa(HS.model, data = HolzingerSwineford1939,              n.chains = 2, burnin = 1000, sample = 500) ## fit multigroup model fitg <- bcfa(HS.model, data = HolzingerSwineford1939,              n.chains = 2, burnin = 1000, sample = 500, group = \"school\")   ## Use fit.measures as a shortcut for global fitMeasures only ## - Note that indices calculated from the \"df\" are only appropriate under ##   noninformative priors, such that pD approximates the number of estimated ##   parameters counted under ML estimation; incremental fit indices ##   introduce further complications)  AFIs <- ppmc(fit, thin = 10, fit.measures = c(\"srmr\",\"chisq\",\"rmsea\",\"cfi\")) summary(AFIs)                 # summarize the whole vector in a data.frame hist(AFIs, element = \"rmsea\") # only plot one discrepancy function at a time plot(AFIs, element = \"srmr\")   ## define a list of custom discrepancy functions ## - (global) fit measures ## - (local) standardized residuals  discFUN <- list(global = function(fit) {                   fitMeasures(fit, fit.measures = c(\"cfi\",\"rmsea\",\"srmr\",\"chisq\"))                 },                 std.cov.resid = function(fit) lavResiduals(fit, zstat = FALSE,                                                            summary = FALSE)$cov,                 std.mean.resid = function(fit) lavResiduals(fit, zstat = FALSE,                                                             summary = FALSE)$mean) out1g <- ppmc(fit, discFUN = discFUN)  ## summarize first discrepancy by default (fit indices) summary(out1g) ## some model-implied correlations look systematically over/underestimated summary(out1g, discFUN = \"std.cov.resid\", central.tendency = \"EAP\") hist(out1g, discFUN = \"std.cov.resid\", element = c(1, 7)) plot(out1g, discFUN = \"std.cov.resid\", element = c(\"x1\",\"x7\")) ## For ease of investigation, optionally export summary as a data.frame, ## sorted by size of average residual summary(out1g, discFUN = \"std.cov.resid\", central.tendency = \"EAP\",         to.data.frame = TRUE, sort.by = \"EAP\") ## or sorted by size of PPP summary(out1g, discFUN = \"std.cov.resid\", central.tendency = \"EAP\",         to.data.frame = TRUE, sort.by = \"PPP_sim_LessThan_obs\")  ## define a list of custom discrepancy functions for multiple groups ## (return each group's numeric output using a different function)  disc2g <- list(global = function(fit) {                  fitMeasures(fit, fit.measures = c(\"cfi\",\"rmsea\",\"mfi\",\"srmr\",\"chisq\"))                },                cor.resid1 = function(fit) lavResiduals(fit, zstat = FALSE,                                                        type = \"cor.bollen\",                                                        summary = FALSE)[[1]]$cov,                cor.resid2 = function(fit) lavResiduals(fit, zstat = FALSE,                                                        type = \"cor.bollen\",                                                        summary = FALSE)[[2]]$cov) out2g <- ppmc(fitg, discFUN = disc2g, thin = 2) ## some residuals look like a bigger problem in one group than another pairs(out2g, discFUN = \"cor.resid1\", horInd = 1:3, verInd = 7:9) # group 1 pairs(out2g, discFUN = \"cor.resid2\", horInd = 1:3, verInd = 7:9) # group 2  ## print all to file: must be a LARGE picture. First group 1 ... png(\"cor.resid1.png\", width = 1600, height = 1200) pairs(out2g, discFUN = \"cor.resid1\") dev.off() ## ... then group 2 png(\"cor.resid2.png\", width = 1600, height = 1200) pairs(out2g, discFUN = \"cor.resid2\") dev.off() }"},{"path":"http://ecmerkle.github.io/blavaan/reference/standardizedPosterior.html","id":null,"dir":"Reference","previous_headings":"","what":"Standardized Posterior — standardizedPosterior","title":"Standardized Posterior — standardizedPosterior","text":"Standardized posterior distribution latent variable model.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/standardizedPosterior.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Standardized Posterior — standardizedPosterior","text":"","code":"standardizedPosterior(object, ...)"},{"path":"http://ecmerkle.github.io/blavaan/reference/standardizedPosterior.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Standardized Posterior — standardizedPosterior","text":"object object class blavaan. ... Additional arguments passed lavaan's   standardizedSolution()","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/standardizedPosterior.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Standardized Posterior — standardizedPosterior","text":"allowed standardizedSolution() arguments type, cov.std, remove.eq, remove.ineq, remove.def. arguments immediately suited posterior distributions.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/standardizedPosterior.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Standardized Posterior — standardizedPosterior","text":"matrix containing standardized posterior draws, rows draws   columns parameters.","code":""},{"path":"http://ecmerkle.github.io/blavaan/reference/standardizedPosterior.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Standardized Posterior — standardizedPosterior","text":"","code":"if (FALSE) { model <- '    # latent variable definitions      ind60 =~ x1 + x2 + x3      dem60 =~ y1 + a*y2 + b*y3 + c*y4      dem65 =~ y5 + a*y6 + b*y7 + c*y8    # regressions     dem60 ~ ind60     dem65 ~ ind60 + dem60    # residual correlations     y1 ~~ y5     y2 ~~ y4 + y6     y3 ~~ y7     y4 ~~ y8     y6 ~~ y8 '  fit <- bsem(model, data=PoliticalDemocracy,             dp=dpriors(nu=\"dnorm(5,1e-2)\"),             bcontrol=list(method=\"rjparallel\"))  standardizedPosterior(fit) }"},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-05-2","dir":"Changelog","previous_headings":"","what":"Version 0.5-2","title":"Version 0.5-2","text":"CRAN release: 2023-09-25","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-5-2","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.5-2","text":"maintenance release, primarily adding new array declaration syntax Stan models (syntax became available new version rstan).","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-5-2","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.5-2","text":"blavCompare() work models meanstructure = FALSE (reported Pedro Ribeiro). target=“jags”, posterior modes obtained via postmode = TRUE (reported Giada Venaruzzo). models continuous ordinal variables fail cases ordinal variables missing (reported Sonja Winter). certain equality constraints involving named parameters fail target=“stan” (reported Niels Skovgaard-Olsen)","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-05-1","dir":"Changelog","previous_headings":"","what":"Version 0.5-1","title":"Version 0.5-1","text":"CRAN release: 2023-08-29","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-5-1","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.5-1","text":"Two-level models now supported (complete, continuous data) via cluster argument.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-5-1","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.5-1","text":"two-level model specification, levels labeled “within” “”. restrictive lavaan specification. target=“jags”, latent variable extraction via blavInspect(, “lvs”) fails (reported Joseph Saraceno).","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-04-8","dir":"Changelog","previous_headings":"","what":"Version 0.4-8","title":"Version 0.4-8","text":"CRAN release: 2023-06-12","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-4-8","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.4-8","text":"maintenance release bug fixes changes compiler settings","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-4-8","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.4-8","text":"certain models residual correlations /correlated factors, initial values target=‘stan’ lead non-positive definite matrices (reported Yuanyuan Hu). models latent variable regressed observed variable (lv ~ ov), latent variable samples account mean observed variable (centered around 0 constant).","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-04-7","dir":"Changelog","previous_headings":"","what":"Version 0.4-7","title":"Version 0.4-7","text":"CRAN release: 2023-03-01","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-4-7","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.4-7","text":"primarily update address C++14 vs C++17 compilation issue identified CRAN bugs 0.4-6 also fixed","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-4-7","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.4-7","text":"Sampling priors (prisamp = TRUE) fails models meanstructure = FALSE; posterior still estimated (reported Armel Brizuela Rodríguez). target = “jags”, models single-indicator latent variable, latent variable regressed variables, return incorrect parameter estimates (reported Brad Cosentino).","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-04-6","dir":"Changelog","previous_headings":"","what":"Version 0.4-6","title":"Version 0.4-6","text":"CRAN release: 2023-02-11","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-4-6","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.4-6","text":"target = “stan”, meanstructure=FALSE allowed, along use sample.cov sample.nobs instead raw data Users warned priors covariance matrices neither diagonal unrestricted models observed variable intercepts appear latent intercept vector (alpha), default priors come observed intercept vector nu (user expect) inits = “simple” now default (instead “prior”), address convergence problems stan targets, “:=” can now used identity function target = “stan”, fix missing data issue 0.4-3 (complete data one group ) Column names added blavPredict(, type=“lv”)","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-4-6","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.4-6","text":"blavFitIndices() save.lvs = TRUE work correctly models without meanstructure. Workaround use meanstructure = TRUE model estimation command (reported Charles Hofacker). lavaan summary() method sometimes called instead blavaan summary() method (reported multiple users, Shu Fai Cheung providing helpful examples).","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-04-3","dir":"Changelog","previous_headings":"","what":"Version 0.4-3","title":"Version 0.4-3","text":"CRAN release: 2022-05-11","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-4-3","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.4-3","text":"target = “stan”, models run faster earlier versions (use sufficient statistics) Posterior summaries faster ordinal models (using mnormt::sadmvn() default) Variational Bayes option added: target=“vb”, uses rstan::vb() cmdstanr functionality added: target=“cmdstanr”, uses model target=“stan” Fix blavInspect(., “lvs”/“lvmeans”) multiple groups + missing data Fixes ppmc() ordinal models; blavFitIndices() turned ordinal models (research needed) loo() moment matching available passing mcmcextra = list(data = list(moment_match_k_threshold))","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-4-3","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.4-3","text":"target = “stan” fails complete data one group missing data another group (reported Ronja Runge). blavPredict(, type=“ymis”) still available models ordinal variables","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-04-1","dir":"Changelog","previous_headings":"","what":"Version 0.4-1","title":"Version 0.4-1","text":"CRAN release: 2022-01-27","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-4-1","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.4-1","text":"Functionality ordinal observed variables now available. models missing data, posterior summaries sped (log-likelihood computations now done Stan).","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-4-1","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.4-1","text":"blavPredict(, type=“ymis”) working models ordinal variables blavInspect(, ‘lvs’) (, ‘lvmeans’) can fail models combination multiple groups, missing values, excluded cases blavFitIndices() ppmc() working models ordinal variables, may indicate excessively bad fit blavFitIndices(, rescale=“mcmc”) fails","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-03-18","dir":"Changelog","previous_headings":"","what":"Version 0.3-18","title":"Version 0.3-18","text":"CRAN release: 2021-11-27","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-3-18","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.3-18","text":"version adds reference new JSS paper, including DOI, corrects inconsistent version dependency. changes compared 0.3-17.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-03-17","dir":"Changelog","previous_headings":"","what":"Version 0.3-17","title":"Version 0.3-17","text":"CRAN release: 2021-07-19","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-3-17","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.3-17","text":"maintenance release correct major bugs previous version.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-03-16","dir":"Changelog","previous_headings":"","what":"Version 0.3-16","title":"Version 0.3-16","text":"CRAN release: 2021-07-11","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-3-16","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.3-16","text":"blavPredict() function added predicting latent variables missing data. posterior summaries sped . (fitMeasures available test=“none”) bug fixes previous version.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-3-16","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.3-16","text":"certain models missing data, ppp-values incorrect (sometimes equaling 1.0). target=“stan”, multiple group models fail cases missing observed variables (reported DeAnne Hunter).","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-03-15","dir":"Changelog","previous_headings":"","what":"Version 0.3-15","title":"Version 0.3-15","text":"CRAN release: 2021-02-19","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-3-15","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.3-15","text":"Added S3 summary() method ppmc Posterior intervals summary() bug fixed","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-3-15","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.3-15","text":"summary() method ppmc() fitIndices() always work correctly. Jacobian incorrect target=“stan”, (non-default) priors placed precisions variances instead standard deviations. impact estimates posterior variability (reported Roy Levy).","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-03-14","dir":"Changelog","previous_headings":"","what":"Version 0.3-14","title":"Version 0.3-14","text":"CRAN release: 2021-01-20 (version 0.3-13 violated CRAN policy)","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-3-14","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.3-14","text":"maintenance release response change package Matrix.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-3-14","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.3-14","text":"Posterior intervals NA summary(). Workarounds use parameterEstimates() (intervals assuming posterior normality) compute using posterior samples (`blavInspect(fit, “mcmc”)’)","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-03-12","dir":"Changelog","previous_headings":"","what":"Version 0.3-12","title":"Version 0.3-12","text":"CRAN release: 2020-11-12 (version 0.3-11 failed Windows CRAN checks)","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-3-12","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.3-12","text":"vector values wiggle.sd allowed different priors approximate equality constraints logical argument “prisamp” added, sampling model’s prior target=“stan”, lkj prior used unrestricted lv correlation matrices default priors conditional approaches (targets jags stanclassic) revert placed precisions (opposed SDs), improvement sampling efficiency","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-03-10","dir":"Changelog","previous_headings":"","what":"Version 0.3-10","title":"Version 0.3-10","text":"CRAN release: 2020-08-03","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-3-10","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.3-10","text":"save.lvs=TRUE works missing data target=“stan” new arguments “wiggle” “wiggle.sd” approximate equality constraints target=“stan”","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-3-10","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.3-10","text":"plot labels target=“stan” sometimes incorrect (displaying parameter different panel label). complex equality constraints sometimes ignored (target=“jags” “stanclassic”) equality constraints std.lv=TRUE sometimes fail (target=“stan”) placing priors variances precisions yields incorrect results (target=“stan”; reported Roy Levy)","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-03-9","dir":"Changelog","previous_headings":"","what":"Version 0.3-9","title":"Version 0.3-9","text":"CRAN release: 2020-03-09","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-3-9","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.3-9","text":"improvements save.lvs=TRUE target=“stan”. target=“stancond” added, experimental, noncentered Stan approach. bug fixes prior settings std.lv target=“stan”, defined parameters.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-3-9","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.3-9","text":"target=“stan”, problems sampling lvs multiple groups missing data. Errors blavCompare() blavFitIndices() due version updates packages. target=“stan”, models std.lv=TRUE converge.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-03-8","dir":"Changelog","previous_headings":"","what":"Version 0.3-8","title":"Version 0.3-8","text":"CRAN release: 2019-11-19","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-3-8","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.3-8","text":"post-estimation, posterior predictive computations sped considerably. 0.3-7 bugs fixed.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-3-8","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.3-8","text":"target=“stan” std.lv=TRUE, estimation fails certain (growth) models (reported Mauricio Garnier-Villareal). defined variables fail target=“jags” “stanclassic” (reported Mariëlle Zondervan-Zwijnenburg). User-specified priors sometimes placed wrong parameter, related 0.3-7 bug (reported Mauricio Garnier-Villareal). dpriors() issue 0.3-3 remains.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-03-7","dir":"Changelog","previous_headings":"","what":"Version 0.3-7","title":"Version 0.3-7","text":"CRAN release: 2019-09-27","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-3-7","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.3-7","text":"target=“stan”, gamma priors can now placed user’s choice variances, standard deviations, precisions. plot() now works uniformly across Stan JAGS, relying bayesplot. post-MCMC parallelization now handled via future.apply package (requires extra “plan” command user, works windows). 0.3-6 bugs fixed.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-3-7","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.3-7","text":"blavInspect(, ‘lvmeans’) returns rows wrong order target=“stan” (reported Mehdi Momen). User-specified priors sometimes placed wrong parameter, target=“stan” (reported Enrico Toffalini). dpriors() issue 0.3-3 remains.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-03-6","dir":"Changelog","previous_headings":"","what":"Version 0.3-6","title":"Version 0.3-6","text":"CRAN release: 2019-08-08","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-3-6","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.3-6","text":"fixes stan plot bug 0.3-5.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-3-6","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.3-6","text":"user-specified priors correlation parameters silently ignored target=“stan” (reported James Uanhoro). save.lvs=TRUE work target=“stan” (reported Mauricio Garnier-Villareal). dpriors() issue 0.3-3 remains.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-03-5","dir":"Changelog","previous_headings":"","what":"Version 0.3-5","title":"Version 0.3-5","text":"CRAN release: 2019-08-03","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-3-5","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.3-5","text":"target=“stan” now default, using pre-compiled Stan model instead “fly” code. ppmc() function added Terrence Jorgensen, facilitating posterior predictive checks. default priors changed gamma precisions gamma standard deviations.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-3-5","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.3-5","text":"Stan plot method silently fails (reported Matt Yalch). dpriors() issue 0.3-3 remains.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-03-4","dir":"Changelog","previous_headings":"","what":"Version 0.3-4","title":"Version 0.3-4","text":"CRAN release: 2019-01-11","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-3-4","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.3-4","text":"Add function standardizedPosterior() standardizing posterior draws. Turn posterior modes target=“jags”, due conflict current versions runjags modeest. Rearrange posterior predictive internals.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-3-4","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.3-4","text":"dpriors() issue 0.3-3 remains. target=“jags”, lv means obtained blavInspect() (via argument ‘lvmeans’) incorrect. (reported Mauricio Garnier-Villareal) Use plot() target=“stan” causes problems future blavInspect() calls.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-03-3","dir":"Changelog","previous_headings":"","what":"Version 0.3-3","title":"Version 0.3-3","text":"CRAN release: 2018-10-31","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-3-3","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.3-3","text":"convergence=“auto”, max time previously 5 min (undocumented). now Inf. Axis labels (parameter names) now sensible convergence plots. Relative effective sample size now used compute loo/waic SEs, SEs now returned via fitMeasures(). Added unit testing via package testthat. Fixed bugs 0.3-2 (exception identity assignments using ‘:=’)","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-3-3","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.3-3","text":"Use ‘dpriors()’: observed variable precisions assigned latent precision (ipsi) prior; latent means assigned observed mean (nu) prior.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-03-2","dir":"Changelog","previous_headings":"","what":"Version 0.3-2","title":"Version 0.3-2","text":"CRAN release: 2018-06-10","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-3-2","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.3-2","text":"Conditional (latent variables) information criteria available save.lvs = TRUE. Experimental function ‘blavFitIndices()’ added Bayesian versions SEM metrics, contributed Terrence Jorgensen. blavaan “intelligently” chooses target, either runjags rstan () installed. Fixed bugs 0.3-1, especially related missing data Stan.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-3-2","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.3-2","text":"Errors Stan models std.lv=TRUE, observed variable regressed latent variable (reported Bo Zhang). Error identity assignments using ‘:=’ (reported Marco Tullio Liuzza). Explicitly adding argument ‘.fit=TRUE’ fails (reported Esteban Montenegro).","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"version-03-1","dir":"Changelog","previous_headings":"","what":"Version 0.3-1","title":"Version 0.3-1","text":"CRAN release: 2018-01-12","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"new-features-0-3-1","dir":"Changelog","previous_headings":"","what":"New features","title":"Version 0.3-1","text":"Stan export now supported; use target=“stan”. Improved handling complex models, including growth/change models. Sampling factor scores (lvs) available via ‘save.lvs=TRUE’. Samples/means can obtained supplying arguments ‘lvs’ ‘lvmeans’ ‘blavInspect()’. Fixed bugs 0.2-4.","code":""},{"path":"http://ecmerkle.github.io/blavaan/news/index.html","id":"bugsglitches-discovered-after-the-release-0-3-1","dir":"Changelog","previous_headings":"","what":"Bugs/glitches discovered after the release:","title":"Version 0.3-1","text":"Errors Stan models missing data, exogenous (“x”) variables. Errors multi-group Stan models std.lv=TRUE.","code":""}]