From 482dc7efb6ce6b75773579e0463e925a9137469b Mon Sep 17 00:00:00 2001 From: "lea.douchet_ird.fr" <ldouchet@hotmail.fr> Date: Mon, 28 Nov 2022 08:43:54 +0700 Subject: [PATCH] add plot titles --- 07-basic_statistics.qmd | 2 +- public/07-basic_statistics.html | 7 ++++--- .../figure-html/LocalMoransI_plt-1.png | Bin 44225 -> 44322 bytes .../figure-html/MoransI-1.png | Bin 18581 -> 17446 bytes .../figure-html/cases_visualization-1.png | Bin 38961 -> 42643 bytes .../figure-html/kd_test-1.png | Bin 15709 -> 15736 bytes public/search.json | 4 ++-- 7 files changed, 7 insertions(+), 6 deletions(-) diff --git a/07-basic_statistics.qmd b/07-basic_statistics.qmd index 308326d..2503c46 100644 --- a/07-basic_statistics.qmd +++ b/07-basic_statistics.qmd @@ -40,7 +40,7 @@ library(mapsf) mf_map(x = district, border = "white") mf_map(x = country,lwd = 2, col = NA, add = TRUE) mf_map(x = cases, lwd = .5, col = "#990000", pch = 20, add = TRUE) - +mf_layout(title = "W Fever infections in Cambodia") ``` In epidemiology, the true meaning of point is very questionable. If it usually gives the location of an observation, we cannot precisely tell if this observation represents an event of interest (e.g., illness, death, ...) or a person at risk (e.g., a participant that may or may not experience the disease). If you can consider that the population at risk is uniformly distributed in small area (within a city for example), this is likely not the case at a country scale. Considering a ratio of event compared to a population at risk is often more informative than just considering cases. Administrative divisions of countries appear as great areal units for cases aggregation since they make available data on population count and structures. In this study, we will use the district as the areal unit of the study. diff --git a/public/07-basic_statistics.html b/public/07-basic_statistics.html index 66bc6ad..0716ef8 100644 --- a/public/07-basic_statistics.html +++ b/public/07-basic_statistics.html @@ -305,7 +305,8 @@ Projected CRS: WGS 84 / UTM zone 48N <span id="cb4-3"><a href="#cb4-3" aria-hidden="true" tabindex="-1"></a></span> <span id="cb4-4"><a href="#cb4-4" aria-hidden="true" tabindex="-1"></a><span class="fu">mf_map</span>(<span class="at">x =</span> district, <span class="at">border =</span> <span class="st">"white"</span>)</span> <span id="cb4-5"><a href="#cb4-5" aria-hidden="true" tabindex="-1"></a><span class="fu">mf_map</span>(<span class="at">x =</span> country,<span class="at">lwd =</span> <span class="dv">2</span>, <span class="at">col =</span> <span class="cn">NA</span>, <span class="at">add =</span> <span class="cn">TRUE</span>)</span> -<span id="cb4-6"><a href="#cb4-6" aria-hidden="true" tabindex="-1"></a><span class="fu">mf_map</span>(<span class="at">x =</span> cases, <span class="at">lwd =</span> .<span class="dv">5</span>, <span class="at">col =</span> <span class="st">"#990000"</span>, <span class="at">pch =</span> <span class="dv">20</span>, <span class="at">add =</span> <span class="cn">TRUE</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div> +<span id="cb4-6"><a href="#cb4-6" aria-hidden="true" tabindex="-1"></a><span class="fu">mf_map</span>(<span class="at">x =</span> cases, <span class="at">lwd =</span> .<span class="dv">5</span>, <span class="at">col =</span> <span class="st">"#990000"</span>, <span class="at">pch =</span> <span class="dv">20</span>, <span class="at">add =</span> <span class="cn">TRUE</span>)</span> +<span id="cb4-7"><a href="#cb4-7" aria-hidden="true" tabindex="-1"></a><span class="fu">mf_layout</span>(<span class="at">title =</span> <span class="st">"W Fever infections in Cambodia"</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div> <div class="cell-output-display"> <p><img src="07-basic_statistics_files/figure-html/cases_visualization-1.png" class="img-fluid" width="768"></p> </div> @@ -485,14 +486,14 @@ Moran’s I test Model used when sampling: Poisson Number of simulations: 499 Statistic: 0.1566449 - p-value : 0.01 </code></pre> + p-value : 0.014 </code></pre> </div> <div class="sourceCode cell-code" id="cb11"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb11-1"><a href="#cb11-1" aria-hidden="true" tabindex="-1"></a><span class="fu">plot</span>(m_test)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div> <div class="cell-output-display"> <p><img src="07-basic_statistics_files/figure-html/MoransI-1.png" class="img-fluid" width="768"></p> </div> </div> -<p>The Moran’s statistics is here <span class="math inline">\(I =\)</span> 0.16. When comparing its value to the H0 distribution (built under 499 simulations), the probability of observing such a I value under the null hypothesis, i.e. the distribution of cases is spatially independent, is <span class="math inline">\(p_{value} =\)</span> 0.01. We therefore reject H0 with error risk of <span class="math inline">\(\alpha = 5\%\)</span>. The distribution of cases is therefore autocorrelated across districts in Cambodia.</p> +<p>The Moran’s statistics is here <span class="math inline">\(I =\)</span> 0.16. When comparing its value to the H0 distribution (built under 499 simulations), the probability of observing such a I value under the null hypothesis, i.e. the distribution of cases is spatially independent, is <span class="math inline">\(p_{value} =\)</span> 0.014. We therefore reject H0 with error risk of <span class="math inline">\(\alpha = 5\%\)</span>. The distribution of cases is therefore autocorrelated across districts in Cambodia.</p> </section> <section id="the-local-morans-i-lisa-test" class="level4" data-number="6.2.2.2"> <h4 data-number="6.2.2.2" class="anchored" data-anchor-id="the-local-morans-i-lisa-test"><span class="header-section-number">6.2.2.2</span> The Local Moran’s I LISA test</h4> diff --git a/public/07-basic_statistics_files/figure-html/LocalMoransI_plt-1.png b/public/07-basic_statistics_files/figure-html/LocalMoransI_plt-1.png index 68040929bc33481e9d07e252762b0d26207ed2e2..bcb22f6f4b9785c517f18d28dc13daaffd6be770 100644 GIT binary patch delta 42499 zcmYhibzIcX^EkfG<A5V1rRzXSq#Gp;lx~ntB~?I55CxtG2q;oYi^zdUDJ3DzVbE#N z2udlS(jjr*!`J)sd;I>m$L(WxW_EUFc6MfGpY7v_{0T&*DP-X%5Hw`?arzru^oyVR ziCiudUPeQ6m3%se_d0mqOWrjYe>|m9Ft&6^nEBqcLV;tzxbv+Sw~Rg>+g%kwNAzfv zS?DM){~`eZ+}3SQC@1~{NwO3ZD!mk#ii7y0Ar$~LpeIEI;gVv6;DN0`>)r~ycYJho zluJ0CStSoYIL^qGDfwR1R+Y!;*M6b(4onzm9J{I7G<Oty{OIP)%0rue*Rs(4*j=?S zhssAgdv^qXz5lq+I6Wx>K*uZvo~13ck`Sj>KL2j%n?$&q`op4zEaWWtAH2uaXP3Z7 z?wP@Yr`G5HJilv43Sc~|D70rl&TYB#ZL<<O&`QhF28S1&S_b*R&)(_(A0(cY6SCeT z47P<J;p1hVozbsX5IFTS(B2Z7Z0pzDt|1chY%}h+HxmFZzDV?aZ$dxwehg@CBV_z( zVI9hV_ts&BhL1PVM2Q4K7eV+=7@l$lex;5^;SUaG_B&he5I)Uh+W)i~9`mP05uxOr zQFw(v(6`XV+_uB-==Xz!!@ZU5_a1p;G33XKxoW|T$G37Mx4y{xuQhG<sU5k??EYG! zhL0q2X%D|wI@T;P9cJXh>%D^w@L}hf17jZgQuyzOXuh+K2j43Q?G?SxGl$?Y<M4gq zolf{~f|J*5`b=1W|Mt@6OwNZ(9Z^&Qt7N0=)qkvL?`3dJVXcXxqouqs$Z3_*72@c< zn)W}53sd1;km%cIj@}%jCDq5&F1S;Nu?!FUEe^Jgg{;$?o)=Y&QE>vtoqts3d^j?W z;tAQjK<y~Znq{~87mQDORAqRq1MQ8ok^CLsh4=SO4ZNn>Oy2t3=5ji|a#px;mC*{) zxvMO?s<&41wDU`c<N8ob83H)RzXqX;D3Otr(^xn8`EGS?t{kswo5P(Wr;LkgNcYX1 z=1AjLHmw_psYrZv<H&+?CHp~#%ubFz3LCtZJ!n<M5+L;(b`ZXz(3)5uX?p1gAGnsJ z9qoWp%?fC%96P7l_{IW&cvEI<#Z`Hg%qPs)!Gg^tn6STO3^%!LU0Xjf1*X;+MS@i0 zVUg2&cdDIGXm9;bYq)`f6P5KUT(=|XbQ(LTN!Z(Us-WWBX*}EuUTHd@&8|`t-+UIH z%era(7FN@y{;~OUhU<e##~Z2_t6HOenY7clXZe6l5_$B8Ps%AuyDt-(8E_}Yif7$H ztd(^>pn9-c;LrZoz(Bw7W<_D|jxsdHx}TkvlUNm}ZTuV!a#OrMc)`CcCJ1}W&dp`y zm#FacBzG=hcdm+ewEUZ->ihQ&5*DZ{1XdOm72I<jsE(z(Er8jrqXbwfYlLsee!xCA zX3r9CW#Qp`&Bf>5obf9JvF4DxW(SMn(13e1yh&R-T+xV>H=`35Yz7jaC!vNM`#vZt z)e>qr96Cczz3+PY{4S{Jl!&HR0q2*3RDUs%LjZg5u9dtJ`4~Qgk3Wq*i-7;|eVuT8 z+Sc+~Z``qTHfPTMeSvBP*P5Q=iU!>jiP}ETanhd|8ARoh9Utadd2~kw3;S4$!QF{c z&c<~h*ZE*;uU0a0_UF?gOo2y1(9M?sutv$DL>aIGvn_PJ@)7H&0nf^X1A%grx(s@3 z%d-#HaE^;&yR{;dJHZD!KClLmk8$F|*hyK<MQp!xFazQ~%Dy?IscS^KA|1wy${LqO zt7b_4b1p<v7dSl7OplGqncLCXVrCnqz_?0SRBGpPLW*OdhM^^KPSf##(_lYp6N#4o zZ6~z)5kc29+{XI|@GFOlt@44Ar*uTuNGd!6g$h1UbB9?Xm3Bwrm8zbzz|S~R2s~<0 zRl(M_ZB!7p;NzQwFdu5?gQZ?I(FQgZ&?7DesyL2H9hzKIJ1e41vs)f1@dB_$nOuSV zswG>ESYuP$r-cu~Mb#!WFza^^bzpDjRVQe@Q`7-km6-k9$Rpmc4q3JH_dN9bqj9!L z7lKh!x6!ps??23qzGY|%a}2mj4S*xG(SmKIyvPT=$vIrD8n9Z5E4pu3%+i<Nk_v9` zymW`e;(yx^L^u$4<_W!nZKn{zpG9%~?AJ0FurE1i-y@PYZ(p{)wATG})CQw=a4gO8 z>Ob>+I*n;tkD`M&!|J7XCUee&|Ak{!D%*q-br!0#h(4~8buB+Ozh(9CQ^lLW@3+8G z#Ea%nf1k74Kzm*XYJ_jraZhc@ed)oV_&7;@{W_?n!Jg><Di;W=sM~yGr4jg_0UW7d z-P$T|B~?4$d>VWHaDC-g$R8>1P3!Q+Qwicq+|7s98_VGvFL&>=z!x3+CwqUZuiw9Y zSQ{v?raJngYH_=YJNS7=Y}u{kEmIRSkd8U9<*a46Ez>%h_B#7189Q-irBkU}doL>I z;uTJ%_OX>Azqb6}7JVfV8P@Q}yKZ)niqSs!;r<|uD)Rm<V?0tK{MAyXvr<q1Xx{zV z9=qy@`IDCh_c>zPTRo{>BWA<Id8=8HSspfw^&69fB{e9hoRZx+nZrQ&l<YuAOVenY z*MDZ{9L~6BC1m=326=ovTW4?D$iRtnGW%$M^!MITPDY>yqyJ;wZb$bmr8gYKu`j-6 zOk<KrZcOi-J6`_-uMF-g`=RhwokrKPi2X3p$qN=nX!$5(3`h(^l*LyS1Bi`z<#PFr zxTOD1vo+*wRmI`!{2#eV7P>;b$MaS*YIUu<_kUI#?>yQWJ4JZd$(f=i4j)O6eSh}M z&AKupJG>^0c2@eTE(%}eM$mnpl=ElsCZlK(Vf#<pS1pZC2;UJIYwQBYt^~YwT|tgY z*nf`ZI<ra7oavR$tj+5`o-XZoo#Xz`|F$z>?IJQ?BQpP;*LYTAez3H4@X_N7MD?Gx z=Ngc+o!Wg1LZ4Ha@SOii=r$j;rqHTRj#K%M$oeHjWjH1E;SAOP#swi?wf%**J@%A% zY~hcumJpEaFsA@R|2xyL0O+M~P;pQQL$}F^NAWYN|AjE*@HS%BzHI_Q>~ycB1H#0A z{3%m0Ky%XLtDlJir-_Z(@M0!Fbaw#M3wa>{<;mEE%aqtCVgpQ_)<OW%lQE8EBwqcb z>o?^&2zx?dirNA(i$3Xk6P*PxClr21vqQc_r$O|cZ;b$qBeuXBjcA~F5+mRft_TAY zVgq|YT>`Ki$DWK%QKbKG0{YJg%$gdK*f*;s$@Gs~M#NMq))MF($EH9alkPXk)}^<W zVD>5ig;56vSDb|?^&p)!HG67+_qx4CAn$q*Sq1Rj02str0E`ig3`8W)!+Wd%JB}5{ zP>vvg5DAcE!4q_gk?41XHE93>AVe~fI4QQM<1K*>Ff`H;*~hEQ%F{$4=&(d))|!1U z5H12?46%LNu|DNJ4p{wbn<-Y100;+&>z-w+8qizc<3ae6o{;jmN5x9LWt<OdfpFj7 z4`)=5_dbpO?p50=Qvd)%#!EPJeDS#%n6gSzLldd?kp==qq7HU{T{yx1Nq3LXPLM4n zo%NWxNF2_jDFWEzlwxMEd+KCdUFT7g8iYE`z0?9i3&V+$RaSGK{Cy*PQFpY92a#FS z^C`~^95*?s!HwX=f#0cbkhj>}xs5ADLe9jY*1vs6PKV4y6%Hnj?|eQRzfP8d6)f4f zSImUnohcI`t_bVV;gwz5ko-*|O@kI2eVrI~9{+}8h>|gX*DqgGSTjJS0+@*`9yNst z6UDo9FFV=jd9>r(Px!by&|dE#FHvxPurK55l45d6?KBS}udk}rPkNu;{{b_cPdK;m zy2zt=Jyntp%LAV}nejs!q4QHo01LEde|D*i@*+8woCLD&h&Vw?t=}N{s)oHf=DWVV z*XDpg17&Lz-bF;1D3E6i0hAc_8w>87b<gPKh^xYHy0l7RUx85gy%U1NY32b$R1x~& zI2m-`^no%O=$@!g$C;|cxDc2Tt+3$VIP~UMbwE}?h!B+NvanHrCBk4_CXYXTkjiLJ z6=A~WrR8v*Shi<D=7{&*bz@60VeEe${G`sm7^%-#W+AWynG?KZ%$3&uVk2OO#8aQ3 zm<gMD8~Zy%8W|~5oj%MZAu{cFI-X^(1c|ksBZZ3p>nPVr)GYtiRsMaPXoqBI;;Qp~ zqbYLYgS}Dsej<xlmJhE>+y!ag<LrqYDc-cg@L2$9f6TqCyZMs0-Q7?f*kU(WPb9)K zU=D&gF9_QCQv~aKn?J8%TZ0)*#ECl^PlccR93Aq(e0B6ykZd;h;}MJga(82@9ydBL zi*MwR4Eh|Vwf9uS$(d>Wl_sO^^#`p!p7kLns!^a>H2uTQ0O9Co%H6}IPn(|jP1s&n zpcIw+-S&;v`Z<KgS<)dZrrq<jJsxyKUVFAwN7ZOn>zAINP8nvO=f0d(VzS#|T>a~K zowW>6f9_hvAO4NfRf28(@&omK8pK+hwbPbD`OGyLMaBBa^Y;S(pkhKS#x@DxZLMSk zF%<Y%AJ?nB_v~`W7cQXiz3ux3Jn+zw7%4vc%l8yK+hXf*t?We(XpHOCdS%m(O=;;o zMy#QdZ_y?$lpMM(W<L%W-6ixT@GUI`@H8iqr8p*X58%!xYMVntbbl<Koy))6`#E}- zrM1Ptq?Nc>=JM4x5sWa^k!7eQ$DZO>%wW<)M~c0C1jmkH%DSg0xccTV+{;jUW3N=f zg1RS!4m*kv1Gx-Rd5g6rp|{^;gf9_Vju~a%(+h?h)_I---<y6!(oD>$;M`OH%H1qM zq;8@?Mf5#jB9*su%kPCs+(WV;nvhFCnwp+rVC5E)-2g$!CHl%J^lo4t?Dn&Q>ST^3 zZOL(1@VMemxWlCt8#wMh+{Wr5y9j?1lTCka)s%I|<ZBdAzVP&5{!~rXc`#Y*yAoG2 zHrM6Q$v63AX>>Mm<WPdsUaD;1;gklW$uSXDscyUFAlCr0E<}#2*{Uv>O{TPLx)r5s z*5QWr*R(fjuzgACUqT)nc#!r)5E+QE>kJ;XIIurfbHl-Rd>raW-*0sNZaXa6OC@!T z#iQdY2QR`9<xez-41elPj?0^TMw3dy3kKsCRE}r;c?lBZ`99c8@f?L8%VmcR2A>0$ zzR86(Yhr4WR21hYtTsji4@zulA-Jp2ET%RDTCYPcXrS;iE&_yvzJ<fKU6N2rmYBOo z3(vkjg}Ih(b`rJk!P9=g6nS;&dB1l1RA~=|ya9Q5sN}7hAfAu)t}Yp>O2RA};2CN? zXrOn(QEdHS8XIP9{r7Y9T=QFPg0$^yd5od2IlEt8V9v^H^Ns69$NDy23XLBF#jbT5 zavszW_ZxH@vFfz9SMzJBxuwRc^{=*wZ*%i7e6!D|LfhB(u2IQCLwx7m71Z8Kt=;hp z8s_`{PiAm}_Z8a4e-C^s-KA;I#pyVv8S4AYjeC%utmnvYbuM?-hYGUR#D@Ns_YWS0 zre?2LsqTwQ&gEM;2-XWFD8ek%OW)swrOk^Rb?!W`0#lnE2_y>_QTSh`Po`Z2K`tCg z*P`I(ap6bov*}w;t@e}O@Vs^1ukUYp+1|SSL2qmP#ZUrQJ;5&UaTzeUZM;afaEXXa z_xfgte^CoSy7IIx=H3eov9C>Pkmi{T&#FtO83+tyY+F~@F=zLv#$9KNE?F&An&Hag zN@d{%!S8yO?kYaLI2j~`+oP~2=YcZ^U#{(!_jgL*=6xMs|7PvnqxVP5s^$;m=Yg%j z9dqmkA9B`ct#Gp<szv#0of&rJ-MRZRgCgJqi!KTSd1#iaPRw2IltAGXO&srmDOBh{ z(*33^pz~~WV1JJ^wRu2)go}|9TT!^eT-FYx*w{a_T$uhJJG&8Z+beyoDJ{yicm$pe zVa>Qx|AB!z{;&2L)9n4fO_gxHvEEzsnxcu(3F+(H3T9Y(gk(D>PL~uPs&bD#Tx{p& zX5sai1awD)Kao-S;wyeAOe6Lx%F`0M-DYsibFZGE;m#GtBtKjz3d-bZZ*&y6H7QD7 ze#f@SJtZ|cg_`LMd~f~NPst+Ss$u>EivOpcsp7EhnGy~}@;UxslH1){SM;DtJv({% ziKAV_iS9pF+P!nTTCjZOSEjzL&LWwjW20&2RaRDnFRh9AJz#LEn(a{DvXpxyv7sQ^ z)d$E-OHLVrN{%VTli@z<YKlWTZ0Ol;4!RfFNgRGYLLj|~xj*<qA=wG_zRZV&Tr2R{ zz@Imzn@L>zgV~o)6H*!ZoPT9J-tPpr*r{{NthFhUxmvDz{+XdprR4?HZ{3fVikhhK zW8(PQy>1<H1gKQsr$b1dTSX{n1wFeZux6X0$}9*mr?@er;iFgOr*33h+ZbA?lsi;+ z_wxQhNKBg;<N+6?bIr;hvYrQYSc<Bf7_WB|f|i!%7D+coz2YLpLp4}bIDYk^!CTB} zq%*a!kOmNZUj<cB+^}OEHz3mD3iwIKpy#jO+kM+3#uQv*@+wsxPsrp+W#k2nS0?ue zx0MZcAUTpszp)f@7Ga5^vQqLo7jXg0eX+0`e&@fl&5+Ys;c-2mrepTi8;Gi=MFYQd z`p=f4fvSrQxhak;B4;@wH_jlPnUjq#iNV=og4SggDpgOEpJyd>1kTG8yqv#Ka4~TV z@0mN3QpLgpxup!V7(!twJgoe1Fa?xHE(ua4ctHxfdgHS3Sj>Fe*vs3V=a9}?q<g*r zuZPf1w=A$qDlm!308x#Rvi&WMpicziG2%nyAm_9YIPNMk!Z~#%Mua2<I|}=Y4{JP! zbhad=^BrC~_ah(d(t|K@6qX@XffodzFZ$hqD)|W?aLW<X63=15%~TSI$4h#`F^DI3 z|Jrn-mQucx_*xtD3A8!-Anv8Wh6e-o8WZ+baMF9D)AAo>3rxd*Jh~C0Hw2kPZJb3q zQ_kli-9(qNkj^7$x~Rm%qZTVlj*(>B^BO7I>D?5u4p>yGIWLgGZJ~=#<3mw^7fl(W zksov3&WIQ05=`x9iTah>ePgk4iG0Blg{Kx)rC^tS<A^kA7{oX%W>bQecTT;~w+pu* zewzVFb{y$~)d`du1tn?aUMBVe;m%O{Y($G=JFdC^5%1=u76*OqCJPp9&d>OKxqzw7 zD1T9;GnwzRC~{KRmM~)gO+~!_HWyFzOyksbnEBX13{a2?Z)K*_CM8_gHyn~i1s1+z z#d4>55P8NPan^_NuWC$aLa5F9h5H`k#;nQ#`hp6V!S%RbP+SUS{=!$Q2dty%eR<iR zy7d=?q7a_y4a^8hC^g{6Z3JETwc|aewp^d@7&u+@Bhum47q%i6tc&&T5Bap%Z5}vy zI!B@=$kw;wigO{jlofBkeH~{{1+mg>$L-~Vq1-G34ub;KFBh$b8~Zjt5yW5i=GZss z#jEEyoMD!)=47h>qz%a)CaGeXQ*ZKucf)an6?gB)nlxRZ<i|7Ur(eQ%x-AzZSCO*y ziUUj!KCSHWgaHBJB@Li;@yPv<0Y><qIUe2h`?^cde2%_en+2na2<47M2xF935R&Y> zKLG}OEVdP(kMEci#-rMF6@rR&$d5;{8{$Z3Su_|o*rbK@V{KV?sBOP&QR2(4T(vI! zs#!talR}3b_7nuhbO>9QIk^{g+9Wx(*Q}<wgg8k`bjeOA@DnM(6BO76#1=EwC9|e* zY9!MF{M|*kashYgMiS@wJQk7#Jrv&ahsK##3wQ+<5WMfAAzPfy)pF~W{U8lEjUnkt zqr<j))}U5Pkj~FkF`U0{nn|HBXPNe#NKb}_hqi$=!lWh2!~XhAU*cf^XWjInN=98t z`t;*U!7uvomqzuC%PY~K7}LN&T=4n0MG@>Z3FoJv4+lCEHdNO>7NV;QzZBegpr@eo zY~QFZ?V%%Ost_-DJ}gb<%1OR_4*YTvleRz4U$z|BN!otZN%EryF=fL+C!G7%tU}5O zz+i|Jb%DQQxE6<dbV}dO<AC!gau((icG7@B3<(0?Etvso$`a|@ZUttACsr&f?>Uk8 zWYA&Phm=*$LTID0b-WJ5S^<tkoNF0g*@dOOY_63bCK-y@5FpC%a^5|D0;7kI2*}ua z&V*Z{s?}{;Hn+GXESg<bKto1zN5!Q49*Dp9_opt3n10J%oKZ@XqxNV~GOc?CGcC-2 zU4OXnL?ucBd7`r`#kYg?f&t3=HZ#Pk%vgN$n+0O1BK?*apImS5wh9-9y5|uc)^tei zLO0~BohyIl-ZKP70Oo~?Z+HIcB8Y7Sv@!gI?|oX$3-vJxCr%sL0u=uqs@w$>{;Y-2 z5tZdfTUwUrnXHlQD?A34@YSQ<o$gTElXIF{!*Er0kdU!y{E5Umand)5l_XWW{f4(n z_1#vtD6=m-lz7C#c@&=RvPxkMsCSJlV!+OYIx(?++@#yIowNN-h0ESKd&^wUPPxFC zyeEJT3l)b&3X}SFZz`OE{66k}!b%~~3$=B%Ub9{(jIqhHC_ovgeH3t+0V~<AlJbsA z9S%6$xufS+`Q_8!%Q$6n=tqJef{ueJ7#hg4u)37_B6(R<{Z2x{$5KfjM5))~Ij%;a zJ}GJYn;e?OZg3)TGG2}!^M%!_JoVlaI;UtXG0_UNLd*ysxx}gt|2t|${I#4eR_HYj ztGPJYO8<~s!{c6i?^S7q2i3v(cR$!}!9x3=>_yG6&dBjpO?&t6g#p^4vzd-RZe6-Z zI?ew#Pb8=Rros>CeY;+YG#YT8tY9m8I<?Q3!%9$8PYcTbGsXVJS0*e7%C}N`!*gB} z-^*VSec?Ra;#J9X0x2ai2mknQU8qlNpEWH9W9}pLqdi`e>0UegMOTT-7hb{K^IP1) zBS&9J=d#sP`l><q5pfg!^pmRf#)uP<hC3%^Y)phoK^0Waa*PsJRMuZ!)@reQ{M&nB zWoOpZ-UX7BbQ*(<Y!FB+$v*@gd7m`8R8qX(9q_qf5n<ALxp#o!n)Q4D3h($Zo!Oth zKYzSq@V7bEpA!k=czRw5UEhf3_hF29x^>x#-zoY=!flxZ_QyVoN)MvkEv~$4+26LY zO*!*j;}aFuOHt36#V#^kU5N%UbV_uBQ8vU~I)ff$NPaQ^Bkb1#*wqcB-;v@Q-T>Oh zfR#3*iH>EFkIHS~Pu+)H!p@lZM1jC}tWZ~2wM2lH$)iyCCyD<PyWhNEoV#n1$%pV~ zT<G>pOqT7)>#%SXM&>_wG}P66dEt9i<P+E4k;S_uG@yT-b9G;y-nx<W)XF%o8WP7Q z{6-x#wl{85oyIC>hFR6{%~A+C4va!3pW2E*HtH3j?&Y=3sbvN<(EN|6Bs4~G#Rd*( z`n_lJ%+007O>-&K(BKUVP$7_0&g!bad{Q@HPcO}R6go)T<4uQkbe8)SqXOO>=Q?v6 zsR-JK2vnHGqD&IN5am#5Aydrc29XWwe~^;72Yky=7dbhxK9?KtBzTNF+i*q)1g4M6 z9B#X4J<t8aaUy#h%h)GazQMkq1$+s(U;@|&+_EIWWd*V!8M3Y7qMphds{1U5gJ3}s zg^@t*JvmUhRH(w0op>5V<(C;`j|kinVi(4`)wbv@@3r~!tps=zuSbCHCH2d#h%=Kv ziVm3nSstnBr^T~iG<Bz}jJ@Y}gnGASo!H82X<-$CmoWr*k_z9znipbjCZ9EIyeozY zA?lUlRA%fX30=B<MnAse5*G+Krd8ZprMpZ4!al!Vv~YJjGQRcMcZ(#P#3YfZ&&aE5 zQaPG6y8T3#IkH<RHGNNWFbVzY-m=I=3<XqKdbeJuY@d~K1garfkVj#7#-hK4eSO0z z;>`5*L&^~^Ib2n|X}R`Mic^&!<Ue`&__bEU_WA3gNKf*f8+2Il%KOo;+TJ_;VZXox ze_pGOc5Aw0Z&MSqamKD>j`@pVyn-dz0uvGb97r5_sngr(^I4nu6k?>#CM>uGANL)S zbp!pN(7^@5GOLL{oUhabSdqd}8z<1jn^5n09zXa@05wL9#VMnzZp&s7*mS_QRd5V} z$$;y!l6U<@THNQoa*uWb^@&pt#JHV~3FRC+6ctuJB#Y}N2TiWS<IE}Xjh}-M$#OZ< zR~oUQd9QmjiU!`OE{6bu42Bpc4srjjbYC;xqt;1~Wav1njlxVOuqe-!S4w<5x&Yw9 zGp8P18Q*@$z!S`$_KN{^1PGg$kQ20J&$#E`k0)jD3U5VA%Tr6=diTz=1<wx)%CQN6 zo6!m(VI^-@td>b%46M*^fy=n&Q;;Xk<F{FZh@+T^S<-ktSqx~r1tJG9bB)xDzzAWO zXSmB0AD_}zth)ZA^N<WTbqaz#6Dc7bj4+5_N;9}(x}s{1neQ-%W7*;h-^!!E<vcuP z)<xxJj2YuXZ&)54i1ykkaan;A!}LL6ZVWk$h>TS)^CN~*37-mbEkU;bFQvWNt10{+ zHQw}okHhL{SA084atYE1q>AEs&a-&|yP<%@$;D6sp<B;U$@!)5uSkrMIM7m+ESgRE zH`%tm?Pcg%vyQY}uN{Nh-?MF`!buu{-6eO#{lSw=k(pT(gzIefPF_6hKnxi{F@fN_ z)T}E>z$8D}qnDIL*GTaqfcYQFTsZ<ab?M2K26g7DX{uPaMa~fxufg^UOdJJ6r+e4F z)}_8b58H;Y@s9DCngBB4SPfw75{S}KKzh9=l-@VuAnj_~EV{}T(1~570}@&=_nyhr z-55vv*!xLpT53Otv92%@r$jc0_!tO8-?W>~SBWTlr;10SaSf!nu0IJQP{9<-p@7q| zSs}q7E*6mx{#l6pWE+^%rLa(=vm%P_!=Qwv{HI>qqO^!gWjEztr=;wA*cb{-^$UCn zRl-yECfCeiH7s%-(?E?FI^Bu3s9L8&e}}7DhPMdAmmozh&|?>n1f8}*yb+NPDe)6F zlqbC`O?ux*`fo%oduk^docbo`sZSvpT3AkY>bctAr;C(yyMBrfq|Zi2E98H}yvYYO zA{K$$TVs@RU6+@MSuV%XkTG@76*_ECeX~vPh_T>geaMES^3_kI#no3uA<^TTUm(^u zZ1&Y=ZW*vrO0&Q<c<9C5EJbrK`~3Q)ADyt7NoypK1rlrJS6TA^*ozc$&VHMi%V^%^ z%IxkwEYzVlmY*)$CCT~Y0$5<~3MMyWDk`pi5D@9lgv4`(ruT(E;@1f{R8Excz5lf# z5oeScb0fZgS^TdR<y~m4V=jvn4!`-v3=276b-xmN%{AbVFk+D%61GwY@#;o5O%#4d z={%@SR}S)*-F^|Q<&r6yTfu~lalpRSnQN%I{2}<-y9AVy=5|6)ivD*uKfD0c8&^3r zEGsD>Y^)9ps_KHyX^7GCcWK?8a~|4BT8}gA44)ogyY>Q1W%TD@ZnBd;aYc@8dVEvv zMYZ(}UxNQbq^76IdR-!y*5%62Th08f827g<Q8nwFxk-$?%K*2X)SyDp^G8@AdXONI z?r!-7GTFMI70@1!<0OS7Ng9OsURD+6KY!Zy!UuD8Bqty3PR8OmB#Xe)J_&nI&+(9y zGmO+Zp9UYaFNeU5WziupSpU;VJSvdN1D2*Sl#Gn{O5M=3mlPMd^YIP}TZLHbbmwHN zQWJXRd2T2^<pL!pnntj?=WXWdcP+-Z_i%?uNK*Za{vk7e%fRC~S8;&_>hQQ{6^DuO zeVT7xMQ+(h6e9D=6P6ecmqZ*R?H);QW@?(s?G}7zivXF}4Mrp$A$L<DJU_s;1{PgT z4m%TktoD8NZNA7Q1GC5P<JGETrI5`{z0b%ve)ab$yPIB~78_ROZ`|WJJ&Wiuqyr?b zh^KEu&hxx}V=;la_4;(}l??vo&s7MV^}6qMO)ZkthkH+wr4O9LOw)q-iPg?jQ;P{t z%S_tTY&6&w{&X|1gduiyFIQ^V{4@MT@l7nMx46bDJGi@o)rvx}a?$g0t(qC5r8~Eb zux@Dk`nFKBlPon<2`vbsFmk2c+fOdFO*w`;p1ywmovvfO&>2Y*QnY|>yzltBjPd=A zZALNAhEH^r?XK1t^+n#qikdI9Ab`S%EzguwK*Ap1ix!O-nNn*4oUR`;RKxDgZv(SF z<&_#dD>gUhH_IanTt;NFxJXj%xZF|}1BMzHIxLm2ggUrxs@Zmfp@ZItzO=i5?>LDu zV+4)znp|XVUd$yIs31T}{uxKp<{+Ngt?4VVrgmRli2`Brz@K38^<7#gbE4l|W=vd@ zE~+P)(!!g%i0@_1)z60l@F@%Co?5rXvZ3!0A}d-{c`br>R4n>liu%hc^pW-G(qZ)^ z9oIfcD8`Zf8N>_K(Jo|&=_!_g`)tviF{2Fbh1UAlRrN%<iz~e^9zT1y;BeV8?o#XU zyd;}2k2(-(zxMRw8{g?yu|N7@juNp2Gn*y1^4yM3qPe|?=U;i+$iU{WxD@U#Foln1 zrYotgtQR20<UZ>Ee*~`QQEn_5bEpId9lTl*46$^I@n1_y>(Wo_!U=xtD-gcmvlG{Q z{7ObFFsx(dn#XhUA*$3QH26{+9(7FsSPrHKJznZV%nDUAW8b*07DR!uM4%H^u`W-H zqD~m3hD|s;J?<4)IFFU+nK57|)PaMr!4t`>c0Fi7DvJy;tI_jDEbjs6vb%u9lbz5e zt7HaEtR_mjhLqLx?&sgMo9L)sTcf>FlBgWz5G{S7?@Kzvp=@1w1BsH8IZZ6sLM)si zdKkTch52eTSEtkx;rbE~Z;cY{UU<#640nItf7opwev`tRUhD!0LeQORl<An&q%hmp zVtnU{3q?Ye>V8Rwq52j}eYS3*hH>au7;{oj4q$8UR79wVRqDkq1Ww>xcRX4``o+*( zIR_Nb4`h!v9XR({7;_F1E==a3d%D11IUv%nS>`i&RemS*6oiIZX3Wt*9tWRHaIuhg z#jgIC&2<e9G5Xq1d>!_{w_P1x4887EAxGF{#P+zS_bEPMSVS!Fp|GSQnd(}Qnars- z3%0~al_`XQ0@Ea*Jn@PWst=XMvE|e;W679CrbtG-AGqr-Xaa;YNslIR*K*!<5qzK; zphzDp?z(_elsAlNBZXhggrS_f>BXluzW%*Qhlo>kxas2<Kvf_7;lOBe0VSkXF+coS zl1Z4BsI1v_@?o+R<-RB1Kl!rL9obV--V_2oKaJxIe9jDdS4-z!B3{`X1cAtRt%o1Y z8HPwDp#@$PM&<D9YAuDktx(0OYO}NcLhsBR<DPJ1KJZ&^i^G^WQSwQLm@p3(Y@t42 zPHAkyH;ZL(gGc$STq4XWPdMEX3uqz@e}oCobV)XOD#feC+@@buDZ#wfLR2PHv3&Y5 zgg%PeyauuW13N0rj#s7uK}72R@R)zMOhvvvh+AOyp@oX;UbbQ(gmW)pM@HSw_QnRA z4m|BW`!)R+Q<Mc|B!&!kNCI_T`3WzYyJ{P5N}VR5Ebr=-d)X3sjKFnU%o=*=y{hA= zt(6J0wU{Pv5BsJaJVaVdzQBXRkonv!Af_!#TwQ;>Ebcq*&|&{J+?vq8O#@Y42A_^E zy(chIVIRd|pi=b)azyf__g|Ajj@!%CVE&f7n=JNMB86P2YlDo@+1+2xr&rwhZDC(7 zqSIAl5qRCbgpn}F4}Ks%NBPqt(b4CE{XNH4WWC_DkB(G%tWH9ZJQa1I$c8M!xuZNi zcX@;0qe+lQ4BZw#duGm4FpDfT7!A%^x74G?WmFWjE$SaAebI~giomU&p%|}&<BSqk zk%bdggzN{vdYzaHai73b1bWtItVe~u>a3$eS8Gj{Od%&_D}uh$#gdi%_}rCvvsB>7 zSO72u;Q)v55(Y4MN`PYuqf948<m+X~)8O+dNBvk;TS}~H@{13i8ZJ=rQ85S7S<qx4 z0`NNvf}huhzUDSJ3<bdv^pDQ|VipsmcP(Tn9;K1V8oFmB7T>ICnp;PieAp;8(|&8* za1{etnzTlM0u#bUwL;rG1<SGB6}`-hLEhA)GQ!dF-{>EOgsw&n5}0LgXniRQ#@^R6 z|JvBd;c^{?sEph=g+xCvQb$u5vQuDB5oAiuc`&oDP0gW7UK{vKsZXoR@C)T%{VyA3 z3S)49N_dobl~;MAF^e@W{^19U$NjS3vuDRk780o%bk*ujL?b#Q<PEO7EaX4vXTpRL zN_`SuaG~&s9yvNJwe2}<_1slmn!NbWD9kiQvKxL-kYEXUMH?}a@QFx=5YtrbHB18; zB3XSU!g-&cDkVvR3XTjYsU1#AB_==948>18IUeX7m}1YfRdji|Q6MU@{zU#`J1Egh zFx78)^PCO@{)NEkQ^JfTMX{SLNul5c&24x67bDG~E7cQOkw6q@PqgB86CnEagZCZa z-a?ZOJRQ1FjiMKYZ=82H8@g=22RDNu)2i#$3;t;eez2dvrsFw%IxK1G4Kz@)Zf#v{ z%00-Viq2Y|_aD~vLFT=JDoki38jhk8do+-zJ=JHvka<=F{y_XVY}&KV{W3r-C_oGB zC=5+Z+3wuj-rMQ@H*YUF_;1(cuSWG;_7fc5;=Cns@lxc~iJH1(hP*6N{07BG?R@lq z!iJ?Q7YHu|!o7Z3^RPW)&QQbEy{|2t{7^%sLZQ#5iVD2|Nsj6ANfr$%J<(kRClirr zKTPp5F#p<&X=x#(+a&M!Uvd(?Ws+T$SweDwVxLeJKC_^gZ)AMw$t~{Wb*j^MK-xd4 zpcnl++sEzA1Jr8!t-WTS4An^tR>GElg^l<!?&rK;TyPUzAZCQi0Z9zt7rN>9z}RHe z{{)IFg;M%FKAl};?}jVQY=u|o(ln}SJ;?nT0-U|6iysqY5Rxm`XRi?hj!NtXH4+`A z2i4bD_i9Rs+WGBUXi6u!F|0L-_jl{6XT|&>#J%|N`zpU%Gew{gJmT8(Rrc1vFfsZU z9>f6YVj+W>$e;H!=WYppA7o$YJrm`i0nG+G*aoB|O5X64pNAXDnnBGBt;RRk00=`} zOq1$?25hX&Qg<&R<T`{8M4|hyf9M|sM$E-vAFF*DCnB1G;@zDE?_;_TpX=yH#SY!V z0L$UU5yPuSG;mr5Q^*ACJ)n#UAzEfcG*~rVV>j>S(|dI5<t`jYQ1cVlJBwkEHWw>0 z`Gk82S5Q4VLO$c%d+jU7+t{Q3?1lw$aek<O(QLkZ!dzmX!%%=&dL&AKBqcNCOM$VG z65ERS{zYrDc0%sP$2oCc$#y!d>jNL-W0>l8I#(C0#?UCaCt>@5^Jqmpb;cH&53l=! z@XQrN;Yt22ER*($yt;ckB;!zpj3Z>A>C(nH&?c10KfYM|DWw_I_jNuxHOH+Iu~v-7 zuUB}KynV*WuH9QL`<fEE{U0MJyw(yQq^RdVv5_4Fs4chRmevZSb%LHhe;t?rBf6ER z%jaG$ZzdEzKKoAwQR~h7g0rx&)%J4g>~R6GKcn{jJE^jKBw@i<*Kp2KFipi01f|I) z?=@ao(Wcg+>X9Pu{@+6+T|P?mM<bb|C`>;3zzuAiW5*M2D2w_f-Z<lJ?`BLM(PUQ_ zeo|v{Au4Rj0Z_JuEW#-e&W+oohLlWd%T8R)_H5tckCD3uth0dz8_I)5g-FNqR0bbO zO}xdWpXj@T1y-W{YaxbwnN8$BUgrfo(MFg8vhm38N_k8C-8sD@?@s;jl&Gec5fu3` zoy{4QQK6WDFQmdB97n$Y60i-S!5=yxMJ)B?efV3{ZWqP@v-XyCEQ^8<k#CjMWlybN zlx08uBLWf~0)Lj0deokqQv5DF6&G511)%U3kQizbXw8!3a^}X{Gp6w>H%6VQXWyBC zLx<XxqVJyN1$8F6M^~3v%sd7%O2r&(eI5GhrgO}s%z_nG_v2*Z7ay}>lurC#Ex0GK zB2B+mFbBUa%NwtuNQowfU$b9I(;o^g5mw5?U)O){vtgImX7{Cf?xQ{@Qk**Wt?V>V z0ZhW3C&iZRo~IKuPh37y?GANE4bu2VVGK#p@%nDRx|fDIl83d8A>8j!Dg6!V=gs|> zzE*!#3{zbFJ(KOl^np89>pv-+-4W89QiewbGbrw*YH0j^Ze7E|B*MlAuU+{{BFt!; zwJyjF;cnW6;1n#>94{|fb3L^U(0ahIP>>&aKU936T~5>sqQeHGu&4Kx#6AdSTzGR$ z|94;mmM&iJNBR3^ay+_*VWxi)()s$pe*hU$jl|F7-#5a1c~E|>P=+sjow@L)I~$Bx zqk)q1a{%YHVx#(vvu8fw9D%(%7hV_|y45p5h57weYUzM+{#==Y7;w!oyJg69HVM*| zsd-He-Hrt)zxcO3PbP-vGrPsl)RGxzJzpt*kiGU@?b`^hpA-|$#l?q-F6N#w2*uda zZlG<1N~(uQ>g7&^`1r>ez|#(|>P+jO_YOEvP!yK$Um*A=45VmixV*MmH!FQ8cDcu3 zM}!Hl0Um!z+b9=Ra^uZ=Ne7hvp|34nxsJY(xAd7uiov)`{^5PXb)&Ja*3Delfy74X zxwPs_LEe{FH*bkt)~gE+JhXd#!SSB`_Iz;3U20(^YeD-o`6mX20A652VHnc9tyDsE zo^xis`^gK%EUfCoT0a*Vv2_;&SYGlUf&xo~xcR%+5@+HPZU3;+4JUnJjrpI$()h*c zek&*%oMx>5QeFn;rQMBmGl%Zo^U^DOmHY}ZDom%1C@_?Vsk+&8Un68qJB8u3!ENMd zpQn5lg6LpiaP4!ggSSt=W$aV_C5|TN!2AfHJR?rmTpOm5GHgsN8aF0Je^NhvP3)rW zrC&>xbKD67!h7()Bab0XLgG5)nc{Y;ut$#$rp8)4CzigONzmmHhm-C7%*%f{v~?ct z6~`k4+^;&LtVvGd1lebLAaZMpeBb5{nA?Y)97%7wu>=FmZ<a>~PmE)m+y$0oQgX(; zvSa>t_~7TKHJ_A4fy##=kEO5_drqdYDzSmUdX^<fL#W>D*4g!f+RsRN{}FYcdsK&Q z|3aQ92r(o!x`M)U=IRj(!CFlnOzSKB0r}E`JsDZTwM|bA*rwc-3iKjj@Cp}73>jv# zNU;jOYe>XUCSj5S-x?;PP}OzrMvkkG*C+Wo$-zge+`H2ZDGw1FZtCD)Jmv}@6DrKF zLPdA`(c4F({M#l*36Ed+$dEN>tE5Y=#!_5JJU?ggP@Kq8gg*@uoj@OjS0Tk6VqTJ> z&5K$QlHCUc85E3v{4TU`n7wITS6R+tUy(f~<~zo8%5N`z_>wf0F!A;0M^-dY5wfk{ zcoWA#%;nB3>C-S@u($kd$-@2Q+#bFn{aUx2-1_ooUSp{it!U-i`lnPgUd&-^hWyo7 ze?emOcm6on39z!+5s@cf^il`6@yd5p&0nEk8DNOpfL|7L^Z!E1(qZQn+k@s0XFqN@ ztr2KW%A))}{6LO!*6hrUq$O<$aE1@FzF{LB5Vrr}j%=gP%Ti8@kFE@hbE}UF$~D4Q zwp2Kg(3pA%1tR%9fIPPabGv^e1`B-m7I{Y?g*=r|Pd_t%?PM%Nhce2a%P7_zTrZ@h z_mF|jEK!(NKAJ<GNPh+*v)L%D@7>&|dBv3bNs#0-mA{u&W`+g)NA)c-a!WKj&S-sL zzr0ZVSUj8m+>O$#a>SGtEu@G!Nh|L4%Ug<VTAQ|6HP5^pp~SRWZj)4{`n4zS*M2BE z_h`G!u*%h<k(_4S#-@9sqXG@cg?BLkmM*?(rRiv6GM;*%lD+hnGY6y!Wmw8^o8Amx zocQ=t<g~*Lvsbzn1LsQu{NG{vE;DTlPjDOZF-B|<6O!0g1p0}^*jnCrk%{}h+F7s= zXR!;}yBfVG2pYUH-PO`(IFIzd?jOJ|g2d4Z6EMI((-PRKN*}l`D-(*4SU;FPT?LzP zNK71SmM1Sk=XcFsG>}t)y%~~|%#S9A6qn~s&;3xS+8h&rFp>As4v8&GM3^w%xq$;J zU%#g`By`;71z{K^6e3x3@VFLBunPuXc?J`DZ(z+p-w1?^;5kmemZoWCL|tixeT2Y2 z+^wz9?AY)`WKpKZ68FE2!C6o?Ll}G+%tnv9F&sgd5$6$E6$INoH_8Et;5qXBUX@mw zS{)AVF0Rdp4LT(H;Up!-@F|~vdr>EWjRH$SkV&eNsorE?`&>-{E^e?1qJaY@gvgNg zpi)rKCy|jW_5xQSoh=e#nkGXM8xpT)X$o<q-%*8x<zStGSJ=OL{M1Rj2{!5tCrH|m z<WuXGo3GE6y?vav^G=h@=PY1)F;V&13*oHMnnsD`#Tw!4k&rNMMq0mDPR7V4Hfi<Z zTqv6f@fE=FC>7QwS)<OA*CFSfRv6t(KBI{rGqLWM`Vb8Swiv+i%NBIn_n+dbvf0Qk zQatQ=N_>-5K|<pBSi)JJOvSfcjBy5zvmCTYV(noKMiDPFunaz8U_(K9U^hkjV9-zu zEC=7b5NAt@t7ELRky^=Q?ej6qxhgn>K+r{Q&?9m8j1cIDzjPRMnXo^Z|K7dYPl}a) zE2Hv^Kuh?n8M%{27xd+NF?fdrhddGfFar{Izc={BUUH4)J6Aux@wxsmpQ#Ie33S-V zfTOmYI<uYBaU;mflF}1E_c15eYL_x<!BlF`qpQQJ0UEo=LZUV{S{h1#HA5;DlXEAY z-IU4P7Hybn86#_l1jk7yd(!0nWd!c4t)>an&y+c}w_>E|cPYx0IT%3AprCDC&HVJ5 z%+t^pDF@0N@KV52j#Ho4|8#_eJf3gX8N?I1o6eNja}3CGm?XyFy7=#k7(l;J#Jf-| zU+F~g!W6gV#MU{c12_HMAE~)NO1)V{8Ged5_nGRF(ye-4w|gG?K{oxca4~<bSLscT zXMGtj^50D=R(c{Bx`aqhc<rm2;vkyWVJwEk>L>CTBJof1AMcDY4BeMaxO?75V9!PM zz2B_CaG)LW{UK>er3ycM+v06|&xk_~cJ-%DviF0$Tjn&kDNTGLL8|GfLGAOpC!a-w zJmUF&IDB!Y8~g1d5l30Gx90yMw(ojPYx>=aWy=^3ut%WmF{Z;xi||mdgbZb|B0gdK zSo0Dpe1w6Rjug+^73&v8e21)b*mJ^a>VVaAk~Db(_Gck`S#k-s7)%U9-ESGDjZ%K0 zS*;?1Y2QCu-s(euV<C(ZB?6CG(6{;-ZRhig5Apq0=lJN*d5;&rD1Qc@QSMC$ceP-Z zo-7<o_-XOTj^w}VaBOr8C0g!RB%G?X@#u$Es~IKMO?uetz_QxA^faJHGot}gSX&)f zXKH~&mLu3#LSFMo+Q4j_R7d<0U1ddT&964pr(~XoE|Nd>*hZGKNWr0T#KvhPHachy z|F&$tnN&Ve*~|2$mIF2h;e4!)t&=(Z@SR49p3Mj)V(mIknUwfEKM!;nC7%<mr45KP zzRr`IY9oFSr#tDBKa^f7rIfyO#q`$eXGJ$}_=vz5AZ+q1608jwKw6ZTxCf;?xtFHL zWyK1-be&^e%1PwX1<<9}Mz>LK$dOpY!dVnxZ0;1GZ;@Jo_O1|mq_749cPX%5=lZWM z8?EHA_O2_R`q9GuZ4nSsaP~x2BF}={kv|JsldT@rI*H_nwMRVS&TnVldpn%IzIHf7 zOxozSb-U7*+<qR2#V(w#(Zf8~Y^1|lkt~Ry086}8UD9^I&s_OaV_CJ88`{3g$4_;t z^h94d1uNIB`pcb*2>5!P4_tjdE{?sSv@aAyE@4rv!cKe>P1a*U2gF&`CsU4j5No&J zD*jp0C9Qu-cPZWVenwjDx+N7f<n<>dMHh1#{@@(z@sZNR`Oy7b+C=>gW=LnjW=_mI zRIj1IPPf_;$Akv5!cOX7tjjcHZ>Q}X*ktRS*nXHC8qtD~NBEXa@gtIZs=32?p-dc^ zAviY1`ZFUj*s0OF@<YNkHd8lcS5i0KAb#8Rwthz03NVya7gfOzWG?3s<97-ZcpwsV zCELzjS|gN#FEb=M<>a1<ierUTLl{utWN!RKnc7f}s#vM8_@3Me{0TT_@Mgh&ZV7lX zsCZr4!ujVLS--Rv@MABxGK3oornqJar-g5-gUqbfyZ={~zlSb*!@rmN94v%gVbIPd z#ikQ%Z!b&V^M)^u^aX@G7vEl~MLIvW%|sxQ5es4{EZt>MRpMjxfo%&{JBva3>pQbP zh@q=|LzfVA^YNc?X&z_Qk~&4VD@l-O(jGfHaQ1$C|6@>)zP-GJs<o?Zv>JPBzFzRc zwlF=%b;7%K$!KKoos_;xA5lP&{wzogr6CLU&cK)xyynJJgTGSW?mtV0sLXro`*i;c z@pV@m>&Zto3&f|4tf`0s(peKMI@_5#<F5v0lLo(0R9m!4ib;;?(!AdJP!p?aD_=+t z2u14qR0wp82?!$93G0oXsWHE+Zb$ssC!b63vS`0<f#g&9k)B#zZCdT7vu;Naq!YEl zf`l>D<7oU@z>~oe;y1S=dd=JS;a=q*L~)%r7Hr||YfHeM8VRu;36#nir-<Jio=v=W zS@tIJ6(g0vr4KfDdV=QU{X~2o^@nD!Z+RM6WU&)3KX9C6P;%4{gexiD2-@K)%vP@0 zD)L%ZW?Fs_nQ+S7@1fT>yPoNso^Mym;fWs*)P?nDMPeduu;5a_tMSQDZvHE^W)Q-h zQeIyFy?9l`&1;=IBKM;`*hsO!6{AFrz~S8@n+!ndvm;A=Y|4!<MADgNLsDlR2oQD; z(RlmRN!iLVT4Fjc9IFm4-xqXS+@CQ6cVM0#|I@f=Aj|?4#Q*ZEtRoSFZIY7S?YPws ze<?-~Z#zyFDn}C|yiU*r%i2(%x{reQnqQY5BuU`&{W@kj*w2wr;;T`3>rE1=`hN=@ zYKPTV&jQ2SXZ9PQ$p^SoNWA=UfZxNGmj_u^E+co=0qH+UV@T-<layG)+gGcSb1fPR zii1*bni#>|3v|hG%Zzn8LbdN|F5UH@z=DE*iqw9eNeLB)?`+@brs<I=>5`wTnXq}L zsU(oi|BYEIM1RGDMzC=FKo20%r+S=-`mw*yM^K;xWsrKE3+;0~j}Yb$seQUGg&_52 zV_8EsO~9!5DHMi1wG9pYC57AgflDJ`faNy@mA)wT%AC!2`7NHi?(=LSM7{f(3A=Fs z=TuiYlh1jv&-41s#*`;hkQPu%#)2+x&)oWzr?(~^4OO{l2Y<iWq_|M`Jm}e?((Ul@ z7ImgG*y8}4G8r_4DF&{-d9PnQl<E4R#<@_u@#UJ9MrUbFZ!f_R>HJq5PZC@VKc`)T zX-+ET?A9oZ8;f1Kjjd&7a~tT&*F0$JJ!nfw3$&H;&%t*q+<w=p&J;$BJ^vBMV?g?% zZB=a%e@65Db_AMguA;eZoe<Q1_1O3(^i5)4{_DeSnyovr=ZQXH9uq>1K$ClXr_~2L zmM?jk!pZs>Ikm9MNO*SMSe1>cVN&eyPgVU3V881uSMdHq<qFqwJ#h<?EJ&fSoXpkO zazm@GPg7glT-4P>Aj|Z&HXe0c^+$iEvx@ID+Y)@qgIX?fS^bZ><mbd{7mv)dSEvLA zwwE53tF|AerkvEO)QW2^@X24OK~&P5Lu#iwzKEZMv#!TZ-iwf=5+?6)Axb#@BF1AS zO)e;fKfamF_{(3KeiuJE0!xtp2qm^DajfkLn9@cN@10C&qJZ#_4!GxsyJ}W_O^cY4 zxnH???Um+PV5P=RLy~QCJ>l->(}-kfK@x>Ud^DYvmkD}J@zNu!Q3_#FTXpegTy@98 zC_H>jpJT36SoA@qG>+ATEcG2x5wfR&YSX-<&5evKHgV*n@{XSqRDWmUKGmQ05^^6? zJK_I~h+UQm{EpHRl*uX#-=BXG(Wy#&efp-_PD$7@WnAXWmdA|?Ilfdai2ocDF46$9 z?fa8w##Uz9*t+)H%Hdlj?K1$&auPo$#_)kMP8Fr)cX6vf=}JGGW6rI->uzEc1&Sqe z0c*KQ3nl)q^%rFat~=n>wJJdbW?v_&i2`HD<9y?pC{^#0$h^QSn}la;9>@hb6qfS! zm09`T&?wzM870e1=tky0D{+oTpFS{RpU{9L+vV3wp#|;Jr!m!6RlXXlKKIm^%(Q|k z?{?(UrjDY4$om`dltXfh{!fNN-{p1B9U1Op*WDpG8o;(ecu9%<e>{D6Al3i(|MOng z-g^|T%HAZAxROz+%w&^QAtN%1*UKua$ey`ni%2$cD>5^RkeOufz3=a(_vicj|M`5K z^E%J-T<7^XkCT;|?6em$>*(;vdgLeM#JiD;MnEMn)!fHT+7D*2(V8rfDNP~IZPEE~ zzLW*in@cfYoKomHR1q}d0U1i?wND)^jlZWKJrKG?DH;sVsVubcMQD=~2Ck6MY!Y+_ z?J}Q7$r4V_u1>L;HU8)_^H8)KnkPG<GTVhgFouBj7kOmFOTD*&SsEVJ_%vY9a3CwJ zWPUZ3!`$WCqFb_;l@-(^n|QwB`_XFna$UnaV`-{1vcH~)hOtyIWvUd}tOs4@Zhzom zGFm6rcq&sm$K;EMMSPa;+{!tDg^8f3Ke<X6hsBKTY4F#I0w%kd6PdTya}k5<`*wo@ zZf%F;i1e)R31M9AgQ#03ElJ2t3e^_G0BCEpIa~kUZzZZjr*FJJ<22jI+~N57NSo?r z`12%x?Pm`x^?=!)(Z^M`r~}!5hlC&=G=7}eCKz|Y!E^S>wG0`r!&|k3^D6p4`HeNa z={{DW6WF5vdE+orF2ruUy$3qM>9W>4#uJC!dPO3+Nwm63^jXRrSm|b4S;v2oNM%B* zG}Cdg4J4#nJJUiTDGZK+Pdz5b0WF<(fnWxEzx*pYI$1MUNGsX!DAL?wn|9aIL*DER z*K@YH=OukC721nj14>Tv-V+%h?kyHvJ<A4n9uyl-NRFHoVgj`*QQkE2JN|W>i=1~0 zq$5vnb`EE`oaAyPMNWn=(-#bmpLTEJyYVR0pBqWcQb$`g6T{`bjrc*ra#1BC*hh9{ zyYBxT#N#;lfwAcv`PDB0OEyDiUMznw-XWgm3Sn{h88<L&U^?vhgGvaXj-eX-+6|-a zoq8gM`_Uq&aP81oIa*2zTsB*)GR9R}_tmbd<e<$}t0~d=r&d#8Ifr^sGl%|JR`pde zebQ>XN4W$$LC2^m;(XKDZ{5Q>Hp4H7D&6E&FcPQ0(QnCGp9XafI<+bh5AJ=DiB5Fy z+H6!H{Sk?*(11z@xm|GLkb4(i(+D-L5_pv~I!DDpm**&SSWPKlpQdAo8s>Bx3p82Q zX%@u;Mj=5}&^v<!L+{rw-~-WKZ=xtw1VQX7<brY?P1uvi_M3*XpoDP8*HIw1M~Qp( zak^lw(14dwS%LMj-zKjL+R1g-gUvtb!Pu0Zg}cizKKv{e@EyYpHfC7RF)oI;4AaiU z3Zf(gp7=Ik9omWZXsce*7Ko|I`O3lA`iJ=gIc*g5-whT=f7Gul_uOkgw@aCHZqfU& z0sYx)V}06b*Rq-d>&3^aa7UG<(Q4$9WK~AfP0<^0?NbQZD}s*!1KpX6B@0{v-L_?> zkFXt;lGLsbMvi=*(}XC0_)E;M0m3H=Z*ra^UAK8|TcKe%hoboJpDvnE!;9?DcByeB z0&py@-dB`9C1u+|yoJ^oA(c8(e#7_X2Kfh^=Xxpy1I%y?h44Mg22SWbhz-hESCqf2 zfzojnY$Ve8c1E5%-LG7m$;4lC@lXxi(NPWrc|DKVbjJMre#LwGP)xG`b-GNx;e^ZA zM48o!Uj-cT0qJ8ql`$w;pECIV-7$0Tu;C8{{Dx%ZK@qU=1qqTZ->S|TwLW>>^@+%U z<f$OiMOqXOFG~(D5_81v<^J_ZC24C<w4gZ`4=Bv7+M=GfR7@RCC?E)bh5#fYfFtc; zW`a=rYqol^kF@2X$HmyrY|*zq684yxHI}IXzYMv?K3F3lN#Ij;)<-s5Q^vnz{lY`H z?qUeUe?xdSTIuBICF~N7QtqD4ZcMq2#4U`_dk!&mqN<G71Mb9@??OytsRvvv%{@~G zza63hk}-aadZ5L0J(Y37A9TbE=>KqvlHYS=hsW2U_V9r1qT&*9yxbf(<8rzCCUa`h zXNIGji*{%AD3Ekt3LFxL!K1fZ^OCFv-4t*BaANt;%*P|rnzH0<u6JO~2U2N%yz;b= zdD-V1$q0NUso8m@@;ecsXdQ__aF;Lz`3)J`Jvg7PnHn}p><bf=d8K@csSiCafdrq= zK}|v^tU#`A{?c32IPu?La=BI)=WIS=ffIh`{7rqiC)o2?digXU+3Bp;vfrQV`%{mg z(kWDT5w%eBFY}%}__{c2pY|+?;>^m%m7#JQf)Q%qnSG~f3ZHE*_v+0PlM%9_{pPIT zfBuXzCpQg$f$lCVOre9PA;+sAj#YVdOQnuGC4DkQ`*$IU_<<=i%`O*58jTJNjzdLU zalA$mni@`OmUq=qd1lXJIWf_6sAj_`3%I#S@w?g&D$`QAIfu0cDpnzaER2N3a3P;b ztk(%1Ebvp)(4WddS5V`k(bUT=jEioGwg}bHn}S7yM%oVwd=TgYZE6gFyR`V4MpXL; z3Y<Cb_{nrbI^dKc6zaGn@TU9^zmoZBvTDbn5l(b_R!=eyoe)gkriyH0dR;+_5+c$M z<72jIP?QrL?RLGjiUz>{d9kTvI%_KFsJZ~tBsrCcmyk%YQbx0(jMW7!eOwUYv1Sh4 zas&KMesd6MYi1k8xeNxQ>(O?84P~z7KUN_3ia&Aa=xC65;U2EbkF1;w94rU8BY#E8 z{?fUYP0a3>5J~a<Z>0Dsbunyn(FvU&k}1(d>g^8R27&v|u6#7qvegmv6#r?-T@iNT zA`g{+Nr-lrPX&J;<Fv7v;q3jfG@Gx)*k4c`PkMOQ=e9=HDDt<N5i(UwIV$tib2KXr z^v7o5-@8Z``00j>PikeYHQMU?TWQP3h7rLx_|J-^{ph^{lnoYb#jrs67?o3Ydmk)j zgtgIu$L%~1q#f`3`x+^bVfS}F8$118ur)|XGmJjJKt&lDE=cvN!_5Z=p6Kx0Kvsm` z6~*Ztav1z9XlZ-NKWdl%xhp2c?d|y!&%-LI`|U)N^!XQAC=F5Q@gQVq3E=vW$^~?s z)(8$Xdg#j1ZpdM9Ca*_|Nv<|T#(L@SL(3B2t0}wT261AR;prP&soK^BPKZp0ClDlA z1!AK!e=KQE95R$OwZ!mb8&y@bau7VMBVMDi9#0zry4{{dG54Fxdw7;sDO14zjKEx$ z#jHvbnsSZlAa&~Fxr<==qt3pV$VJnRM-Nd}g`>{5cSd6lj<N-*NBImrD{LakF3hDU z|MenAFh?-suPbmExO{U?&Nx<e9Gkvo?IZvm3d7++<ZQ40ZkG$<Wj{{Vm6?d+0gn*5 zDk$s@zqyn8>Sb3u+nbLZ&tH@$V{EZtj=S^f^z;PrYsBi_0HxDXtiSFlXm2Nby&&sO zYiZaz19*6${A;l}l?O^pb(b7%6-LH|4XqT!z?<3hzlHE3$#cd|tf-np4p`>qwF{K< zHFP!;p;aF94hLV4u|`r)H@{?YxITZuHvOd~oH6Sh1AL1S?=TL%jkvo+^%2csKuhHc zBd{L=$Jd+s_tyN~<{co7+{u&gZThdqYcob66k;h7nBKz7AMIN8n4HQU(z{e`7a4%5 z$6u)P&!;DACNyZvvFR*&n=NYN*?U51Z<C$)2sqTtAM(z)ZZ=c%AmUA(qX01QdF!5t z98q^2MCfMsYIIz3u-}1-F$%eT<EIq=%#vCOU-^+H8qbAx4TO-OKY=5`B|%;P5!$Mc zq@`hIa05u_-<FIu6P3IJ%I4F>1+LyoEfE&`Sb#5R6u7y2@t<v?{FnbeHL;1QD!i>{ zq$kRe=dPx1W!`8@)h(S^P8s{1sz=$AH^23?|9=`~jx8vCd1iD+BtAiQL*$YDMrnrF z&;_?I5JPtrhmM1M*67-`*!Xf}Q9S>@&!?7oMV^yx`<vuCaXnz5L&6lNIEY;-;lX)H zV*D*Dg=`l&vkbL_2&gs{2AE7L<&`)j)LST!MmpC?yz1-}>veWXj6CUNt-yy>;yeW| zt2Z$HMqGBeZ`(3CVpEt+iZeB~a}^rCl+AUYxt{2<>|`zQp0ZwkFn&^$V7sBB4ZhCc zars?JbERC$Gf1*A4+W0d!&jEt_eZY1($UL>Cegx0jl%*uIMIKV`OrgS567BVdiBwb zJjWy&5rKL;ax39S>A3umJ@kR>o7(Jd$DOry6VaTI!c1Or9D0T$y|iB9h8FiiLV# zVn;=!wMxLbY(FUB0*y*mxZFuMH2@d{9d{-5{nmNm&7b^dVcU_yq}X9~t&3V-ewV#A z-RtFd4>>!3vfbnZYyn^IGaEL^U!DIucQARA7Fk_kftg<<Eg$OclloV8N9BdjF)Z?H z&5w>$gv@?d)o~WHWP|DjbzqBP&TrkX$pLER_|>JGB0ehN%p?6*C-n#PUKrlu^ZB+} zW2J;-6UpXyXh4lNG_4`otw(yV<GwlxHxQyOzW7<BZQ3$Ln|Bok-gqSp>TXDlLxeae z6z*-ZI~S-}e!HaM^5d=9*Gr4v^x?%ciOc?vc+wy#*JqOCkb<Vq;LpMNaH_wKZ?zgM zt%_xwUo*gdXs(Bggu6^h)W=&_kxmms$Dvp?v+!Eu*Vd00AMwtj9cz`MT)S@l%mK?o zGJHLeId2D@xo3N_DI`97-FdV?IAOR=Rv-UoY?cYr`mwf{A|}7>>{D&P_Qa%wsNW%* zg82u(#6hwKN@l|^O<Q}DgtFnfgMK^nm0;3J=fm}JVkJM#M!hE`Pvl##Y1Nojk+7L~ z<-a{rwv+oEhR%A?d4eiFXF!23jUh+|Pio-RIhhnp&M~MHcj2xjU3OtdDQ7))Z9=2; z%^WLX@y26U;t(6-FD2ui?6uZZrKO&|c=ck)YgO;%$A<>w$)qYYo|qsObND3{RycK> zcr&tdzGWIxJYI6o1}~Mzv&X#T+C25OE?1dO%2lTKPCV>+s#}?1{9}`Fka($bd&rUk z|Lx#_VDz|y!ryDU3+E~G*kJc}ZuG?9e}fXvmcGWt#u8lE1yfWiQ41)X(s!9R#t}?~ zPziL`$v>PF<?Q0%T~jtM3e$Yi^ku^790CKRK=0y_XVAOhWJtm_ZC~FXMPHpZ-LQ~7 zH4GJg{vcX#jWg{`h5qBkHRa%!ppcGjS~frnoV5YGu`9PukiRri-<lNcjAb(7hhESm zHdHAT=&-<Ex?LiFx;@y87v@jLT!~5j(9$ocd&*7Q*1FZr`*vD6mkj4K#PgBO8ZVa> z<tbsM%lIyy3K!5tWh{bQB@Ufa)%w%tan-bQDCx<5RF2d=_Qe<rIkG1;w_ny$A%Ou7 z^optv;>a9p{SRa`5C60p!R<Im+7zYzG(Z^TJ>(GDc4+bebK~i7yOOAxxOlM)F{RbW z_&Mt0uWdjeqJ-F00hii_LAJoUu~N!H5*e$>_|<24Wnt!fsM|(V%l`36+GoxQDoHy1 zv=Mlj6CLrK(9T7De`5wk^JHzB<QOIEsKs`dsW|FapKX?NIiP6E!$9ANMx;_4<PU1n zZ@TGVGt!e)8S^5pUw(ZqJ-*81*VBX#`Ln3VCo4#Q#DgBT<c#hU{U<APU-I=-Yu!2p zg?0=|pgkhdPZpST#z^imtgeXfWmhok_;BhT4UDmIb>4ncn;@QKt<kM=33uuE*y<6W z4MJ54KADT8q<s1eiN9tOMh(<}2g{gH46N*=JCfG)#qnS@Jp7a=3jem2RwLD0cB4Od zIFZ@}P*s2W&ki-P9NEnB`3mBvmS&Q~2tCU1n+1KZlCGd`XG|HQL~fy-Vm(b(R1`Ku z3ksDevbt()-&`z`{>y2em%QFaNNKIkjq^fvBS&2bIqP<lM#?Xbhvg3r^INOzRmR<L ze`=Q$k%g{Xq{0d;J1W(a5`Sb)e|~wx=XH%C#&jw!m$gFa?a+|Vu3b>FL@SY$6cC>s zU&>~J)~Gi&L;F@-kkt!NEtf8m5|%L(&OFdr>!Yf;R{}2#$-@~ZBY*x}aPjSy>$3>l zj4d^0h2+erf3ch-6}px65p9dH8sw2!Y>)i*=a;GPFIyV3ScEAG#yWKNxU@^S>BXl0 z#%e7`h18ClA2Gla*C-W%06q<o9n!01OFlOiF7k}Z!=`beLn$sa|IV}Qih3S?P--6W zBGOoX`4G@viW%DzY^R1M4C`H0ejH>N0SYc0<~Rw!0-xJI$yF~GPDS9V(obi?YiYN~ zTAQ#z3=9>fGZ&kGKbFKA-#+&+M=r{LBA4Vi-$7DGE%@)VR;Cc+u)Y(#+o34&vW=-m zm)shmu#!-|TXAQ;{U*wfRHEMnn@<weguS=UBTsh?usbsX&94h+3HLc+*zye{Gq5pu z1`~54C9?I(-Rhz*MLD0&b(PrO*}Kh3Hqq?|1%8`N5bpXgdE&4UNhL-wq!#A~`kig1 zUH6-=wZ`Pn`G3bEz~YkRD<|=;*UcZ;{n7*9hlN&3>)7$^U@oNINxUzU`~Ujh2>toU zGkKf&6C)(vu+d&{_QI&Gb9>$u`=Ok0g>^RjxIaUa`IU_r*_VlbU%X?4=WC%b4Y`EK zOy1qu<48j{>WIO1PrOdy?z?wZX|7h~M}f8*#WSehKIwVk4@3D?1-<zrH$Q1>3wk~@ zLRFP2I3B<>+|T_Na!EWtAe+YTKriA^83ad;+`Uw1ZE-<8mMK;PS(;MzwZB##21%Y7 zX`vMim%Zj+^RQ^UX5-ooB9u-_5RUAzA<yJJ9K?-?A=5axxCOb+^hsSN98|xwdp(#_ zR`xBa-_Vga^-*h7-c51f*d*6m?B<yco~$Xq{X<1U@E3T)^Z)zXT>g|0fM(D<a%9`z zKZFm*_IPmm2u;m3>8@8|iWN5USqSxvZ%wg>XEqRf0@V+T7$=BosO*0Ts4-@MD?*={ z^3%u2-RUfl_8eTO*SPseP26~PSXMP5!r%GP(9Zn`Ms88k5*F~XSR8}9N{oBn({<#5 zf53*p3xAdIk31KzFrgYhWlDej6|?KE&sEPrphKE_-u&wr18~%lr$#c_^j9HK)cKZ% z&U&~6+Jfr}QzjH;0;gzyZWw+e+1xvGzf`bTUym>5F#SqDavMg?*{gz-30BPbu<h#y zF?O%uQ@^g$eU%Y$)X#)DpHUGMs6IgA&6I2gvV5yU@kh*p2y{aA*p&J>uybqefLZ&V zv1O-W?cHmkk+qg7iv`NNQk%DiX6~|%#X|k9MO}g}l@OGbl?$vWcBuZ7hFoh(+E4z_ zO7IW-dyRayU^}ED?}x<){=O<{`0lMGpR$CtKh&%i0S{5TkjE6U=jKr)eu)*a!4wlb z6{{n<@I#t<IyUNbl~&!&=OucyGd&gIk6%y|=~>{$kPT)~cNB|%fWQ_Y{;3qqMvp40 zj8yF8BYy76Z<WJEE}CCXsguNgzQ4NLv+&`8NX|#w(kX}}>;p3#$lt9(JC}n)4AO_e znG$%uzPKV66W7=+S=oKg^7{M9mTYYwy1Aj+Ta7N>o^02G`&Fn~HB`1@18W2s;GCoz zAcqE>UcAHir@KtUiDM9Y=l({kjle_L9C+x7+6wtNL^al76sStPqO*<QxL7_=5+XB! zgq&CUq}<-!w>5sDNxd2t&+X4$A0W-!(d+p8>1xrr6RUA!q`emdz*$lZK6;pu@0D0; zLFGg*{Y{UomTaZele8Es<YHWQLqdN32p*&A75~>1o1u77!|UR`(DR?}2&_PIbI+>f zsG{+kj=W&Q5_oE2!F7aJ6#F~WQA#CkzDxd#RuLOerO-0Itdru-omBtxl)+WlKB|(X z*fLhmlJE3>dOj1X9?c@}`N(bW1^t$|>Igjr?wWQb9d0vRSW+#0;ULz>5-Uvo-OKxx z3*Fo!95A_~d_<g)VvXCp^lGPM;)c}s&qz)W+da4HIQ_=@*w2<$&{h{Hy9MZomIJbT z1xa%eO?x7#IQH_kX8(cTC%x?N@10bk%rixy?uJr613Vlez%C;Rc`Z5MBY$jqH#^yn z7c%T)Y8F?hcl}-9YeWWZk<)Mk%DfB5Jre&Ckr?{qH~yQ!m&$IPmbK#&8xmUdD#|yK zh_lyN<-eQr4zk~Jk5;nM`M)j-q*i(8ftv%{r-Y16ue0J9fnHLmxP4e<E}0MuA&@v0 zr3`j5Nai$ffa}f;)C_ad_pXOMRKR+e|43P;q+P^SIFm%@%bOR$s>!z)o-JxCf@Mu! zfF__kk$FSA+J@Hg<&(7C5PD}|NfcMHx_)psgAXe4%+)!1Q*J_L`}}kkp^%?0JpTV4 zx3da#PG~ti;NP{>{u`tEhn@W2ccgQH2PNudla%p9R-K*e*>ZbWCiU^(SZ8aFD+#$B zAJxEZ{1OI(=d&;c@17KAOj%eNmA16sc$g)eBhaTeE`&;wrHbPrA&ZyCc#0y5NoRwN zv{WuO!w+1EKIdrW7|fvA*iLH!lG+2R*lp`G5N;<?emJ#|`j2aLRsu;p+BH)Z=sK@n zEN1*Ch<nP6Vz^dM_#B%_E7?G%!E~y!Bw4)q)spmaU8~ZkCO5vB$<cFbqA*lAS~PrQ z8dSrKWWgrI5^MYClD_LZ@LOI|GMAB_NHs|x-x8nGTbCfG!r|@R1s^SvtT>V$LCf^V zHveUP1I2O6{sIa+`)b%y@LP9c9q*@#?9-&<r;D%iYv+UhWraXuYETX1@z?bMS?~Qn z`Xnc^FaIu(`lMvwb@&&3qE6?kOmG&zf!DhT=ABPjPKJKF<>3v}a(nmuP&(TPD3k6X z6(LE_+_M#d>E{GkV6f}_fzY)}mG09w>RjX=2NqmO%5zof)V*{QrQ?Mn5V>(9<j4&H z2kP#Ko;y1rwsNiQ@9$2G$pw^4bIX(i%1SE#J?OT)KJ-)5@s@Pu81{u<Di(~W9`};f zZY5@7@XA|fT3(5Y$kAx?j%xjI)+3BJMDkrYhrEc6tL}|1Y1Tj~21dJjqACZ=2-5PO zJXr)2_a`UkR)Sc2I^|Yu?$x@*;oUJb>id?QfywZa!ozb{O^uj!i>eKM#~Bcq82!J0 zqe1@7{2H76G~G7a3ybr~s_>*Ox59FQ<ZXGuydrd{NN`cweqaqb18fh2qy#6#El&8J zT8xLrtM)H7&oiay<j<Y{j7$tZfSl9tODGJU+ui^UK<luR#B}*<*J1lN!01&fhIk=! zO>B<d^J~+(;2GoiyZ<$1fdi;?<f-s&rlLq(ciR5DnIQAMW(%MGx9j0$5?h<2BBitd z2ln7&6&}HWBVoh@V5p*@CDJoRXXijiE;#iPibMw;?g#w;CPg-iTbJMs^m|NKPg`_h zXxf!zqon#QZ2>pu!nYs$NP05<6VE4L0KYbrVFaxg1Tu&}1Y!&{BN^I@vWjGjyRVQN z{dz~rtO;wVWENxQ1divoGK!;CtsJ3e4d8_C8+Fxf&WD{GTpcX#VIU|rVt<7~37+7Z z-M{US<aj0AR)^nj=Ci_fXE%eyZJr$6l%N;=w)@-N@&xL98#@JDcIvuFy%E{L7;EoE z7@TdgMN8d|F2GogG5HV;JF$7Hfy8!?=1FDA5p~0puVp_k8&K6Zp33#$v<-p?nHgRE zXis`9aF$L)58nn^UzwISm`u~2^CtBom{5sxZjA6jllj|b&qZxUJo4~vsk05x-E0pj z3D4DV!R2CqxK7$H5<C9Xizg4s$8TAVj$O{A%x!f|>~ep4{w8y%BFN<JG$Qe2J{IvD zRE=l6_LP!M<n&nN2ZE5-Lq#yHN%|QwL^EVLP{DCs**I|59+?2htt?iEQ2+QqmJ;`% zfmau!RZ6$h=0md-agW$Bc>tZcJeS3(?CSwAyuqkLFLF;_EO;(0w!pKbUO`;u#}KkR z`Pt_L=spDDvWrqH&sw~b+TcwzSnKsXi7>3@soRt^pVEL-5{oI0R{#?mhG{a7<?HF3 z!l<uy4vOFsO6#P(yM+S!PiXm<p2>`daqy?i6zM+_+(<e^2mS%F3MxF+S-P=14MoZJ z@j4XZa(!@NeRqtTurJ)NL`n0<U&!=0!5>XYIIBkZo3d=kd8ku==HCVq<%V24UBVB} zps^4gs+<XETvxCkE<nFvM1?<0aO@5v`m85P0Vz!HHyC&jz-P}ymAu#yX#-Gtk!&uH zZ+ewx(ef1w72(7@$*SMZ80)RsfP?0M8eRsNha(?MwpyS5u~@_%5waW7@84{s<nT-_ z6YaRKNxqg`gMo+lKd)T5N48IoLH240n0KeUUSpBbLOHd6quZcDTY7SX(dow_ms2Ve zT0S_%$5m?^bF-Y^IUJ}uofbj1$4gb9i?CGS<;P^+P?*m#vi~vzo#=@-Op>jwMh+;4 zp=L`1w9Wu$S+fX?|5m%0(f1|vkcPZZ1o7wY#0NefK0j;B=Awcl5};~F6X=v!+|)JY zMYjSGo3Vp$twS<Zr}$%7qO8Y+adK1?ICc*<@WmiOtE02<z1Kmt3+wfCCI7Imq&s!Z z1#hFTZGMee^)jZN1g$se3Jj0c5*;kf4e?sSoauKk<n$<1P<f%4^fn5Xa9{?S)XtAl z9EWizAD!#SrGeCs6t4=kDSC@JzXeOZaJ#}BxhXi~)XJnMe0Zx7uJ{c*zN<h`vl-k5 z`p6ym(_1P++vOoPmML^}hU<;PDqAg%Xt%#l(6|$K_Y|x!a1ME292WR>>!UDsa<pjY zpwh>johD#SjcUVN$_UsFH|M?02PO4}YMnkzKQHP1?up`nbkKb<$DIs;fG(UAs7Lbt z{=R}ELb~XA*3IgI*q?d>?zB#epF(5U_vBg^P&jfce;ryxd-4$sPO)rA4{)(3E$XJJ zW^D9!dpwdw4Y1AL=a7RImGoW|Wag38)?{W#;VBCERKXtpN8|~0>5r_0!n#Y(0+qh; zkVL<PEWc~f{=M}ats}5<M4Z5LA%|P~;pQWmfwMDj+IkDF=JQwFnp*!k^CKQTo+rPz zm)$t~ImW2@1HL7*aBha2MkwgM76YtIF~Pv7M_<jtnvf!d6IQgbzNkX=#Pgj2I8~}b za!q-+M?h@nrvcy+L0*UH{*&UK<&aGZu~ye2_@<0Zr7UeHrBAddzlE_mbJ1&3b8b@V zL;(+EIsa`o@JJd<LEy&8ok8emq$rESIYkwLAL)4J+NF#0yEva+tx|GViZv0m(WTMg z0G{dFGRaboYrlf4-;)9SF9ep%Jn$sf;cMz;II_*-lS--f->a8pHMi+hl?tGgZfVJz zF)}`pW(eNjwzUrs$4Crhk>L)!`=H+GRBkxc73LhI?!zTfD%5~~Zp*7VeJAs0O!6Nv z*oWe8Iu7VhwlfD1mr(_*2t}3ZPL9Z&l+*e*b^gX%9dh`Ckb<lGqfoL!XoR-<%I;Bv z?Qn!JH6hHb)V9^`)mCxZCun|%{p0yovlYjUFQg^7awMQ5NkJL)a(D<m2!C`Y#g3*8 z*5d@rUQ+&S)KD*oIr=m)<@EiDdbqY96>w4gd_<WTJ9SU)w(_3$jX16YE0meeb0m5~ ztM~cOliv2Vj~~BGbA<@cIPFtcbZFc!lTQ&;yUsmvVv4?|6oc=5CgQ-fXPm5ewepF! zlVjesk$%f1rR7bd&-#COgmIVxMuenE^@ewdR<O_bs5bgGAIrDLTguYYp;NBUT>}s2 zmG|@nG3b*14%VE2ubHipXD_#^-x`}YVt_pr_17N1kT~zD)l|TQC+^2CJ8}wV{hZHl z`>fP<D<JQOrW?cg7fSK5I{fUUghglm$X}Z8(-&O?;w8UeYGb9H1fh3Cguy76+K>T$ z_T1)ZPIZ0hz~<(b03#T$z;hvk%G<k~q#O5|d%Kw5Lt5w2*CYD}dKR^evmUPb8sK)n z0TY<`sFG68d@=y7q>!h9gkvbhzj>3m&bwrDTUeWmmDq>LSa!_Iz42Byj}<@@Y8T!h zZ=<Jnr1w_AufY4zWd``2)SaaSG&U8}YI;(gUzifkV#{8Sr~H{{n~a`xKsEW89eKPN z_eF(<b02zx>#B0d@EHx`K&hpPpva}?9qux0=M#0$UvN|S6{nKw@V8OQ@6p_$I+(ex zNnQRF0H%L~#d@w|B#x*;XENqsCJ?)b%0Ex(LYD`Pu=M}xylh?JECwVZTXgkfN2$gF z`PQ_t$O&nhtS=N<Pu=KI1HvPg?(sz-W~jSUaks|>-_2vwY_dKDScUZZ+oyWX3TjC? z*CaLWntkg4DDV6K6L_sCg&Mq7N<2tac$jO%j=u`@e%$>mzh!6qwI*%ue8O*I5y*)x zN62E0KY|hux@eAFVQ*rV6t2d7y9MU7?H-@vQ+dVW|F?6YYi3gJK3nd%Sy}W5Ck&Ki z|JgdilnR*RPeW4kkC;(f&foRzzaNfGI^nzhViErP@#KHDvK%%5;jtIZ1^Dj0PrA)U zQowPuW%Byc_g1U#m5?9zEn|>(gqbg>F6$)6jEAX~BjHlZVST{#kUNMs?3=IqmV0Y< zf0BgXWpb<Q9yBaJD9zrT^gtm23uj~wup?yvJT39U$=w{erw#WMF0pdMt|!P8={$Ze z_$r$1iWgeaVnG*m0qyaxy+gaE&l($rJ)E-T3-~(Y14BKc_f7-pY{B}%7?IgD<CG%b zY94nS>J^*8i9oQ?bUZh=M>|qvT=m<^I@%952plLYyQ_~-w-4x1;4=Of5|fq{Yk3?B zFbntZ7b-PtJ=k2GBHjz}FH|_pAC-B&Mpu3L3JEEoS}FUlF-^;38e)5{Z>dvuM;{eL z$YmZB(tjsw^NR$liKap`w47NT;X-~7m3NK~HADNOa{Ar)$AmT~aVSa`_B@@T9UA%r zrS*;Z>h*&#`fhcf*L=_gI<H-h;6r~`ghHCMuZ0hMbbE{{;r&{2f>etF=kD9hBzSd; zK}M|l@TJLA)8d7yhs<H)cg=JY8ML9tD1rk|2D`!OXTU>KE`W|1I2b)Cdx}rG>{Ky8 z;@T|bcArD>N({M?Z$rzOx<9SLxGO|&)0YVx=49PO*`WJ>8Q>+UG}RxR`HN9<Ij6o{ zHuikfj$YaIR=ymU(~5nCFapVIy=-f>vi{U$LQR-?Msk<p-&kbcLMc+ikjm0b0Xs;0 z8q@IelH+1cDe#tlvlEm$NblQpLaFMSM}r2~F*=(0B1MC|1$x^bkGT}6WCFzYg_v(V zRJUXs@<`mjblQ=QD{7Q1j((`?c4(O1nF^)6*#7d*-99Fnp1xlq0E4(<IkLNe;cMV0 zv8`gy+9Vs&C1-gG4Wgq{B9edKRZM`s25z9Sb!&Bc2&X+Fi58KBCL5aZP)nUip(IpG z-fLNT*|hHQK=T#Lb+#MX7Z@ZC3TWalc_Y{{K<a(xUk9>Hntp0E4E`!At&+x@9k6$9 zuKJR%-P>$(`8e76Dt{*KJ9RS_5J>y{vA_l(Ox)~mBsPahgg7S5J;ynwuG26eX>5@$ zv5rB5{h}hpW*I&7WZiTI`vD*lg~4r^+Mm~h^(mB{Mepm&2A^kSRXY;=30fp?-@a3? zn3+M1=gXTSL2-~A!uOXA!4GPJf?AmG7kXAJ+Fe`wP#KMT*GaK$c-M+-024E~4Avp! zyMedRHIgK<Y5RXTzwufn%qs0rvoWDd3J<8rDI{#Z$b3%7=*sFZr=S1?Oy3hM_@eW% zH=n(R0#`Qjy!&d$A4=4Y$3@1H2QP`#)R?P>BqCpi6wZjbjT<{y2Mo4F`3t}a_!N4K z701$dl9@9g09_KUt!E!YMEXra*D(b-kUE9d?&z|4VO68Ybqy6JoW9OCa<mjf0Z+rJ zoBWEDur?|o8k$Sf21%ly60+;n>EeI98}RCB3csfP({^JWl#w3mb^0~udaOgfS}Y$t zp=ov7a*dT5=k8>6;zH;5%nQWSYXWv7Nd7)I>_GlsYwx`bn=?#0yUbwMJ-rA#5uw7B z>^dZ9gk+g6T52=|8z=VMB<bcbSdSfdXM-rVj>^m^a#qbJ!@FFTLKgXxJUI`gz;o4d zUJ8OvDCPJSMKGJVeYzq;SV3;rK}BQ<uwbyG^9q{fGCc1f;`ZIz8)ycUukSxUVVj62 zy1&R%>*pandbjeMGm#z4GOXl&<^b=_)dH^c6WuM^=Si_n*Uc&f-(H+y1dwmQeT1y& zeUc^EE5y{ZrKWN6`e!^nU(5iD3${k|XJ%W&<LzJ<e%bkWv`OPz*tKl~^RG%Mocw?C zeo*6bi?DjF@3?fh1hv*7cN(lb?b-5m=+(8Z^&ztE{9yO45cbFSZn~-O#2_>6k&Zax z|7^v=Am%}n-G`^pM)l@x<Q=FTD7Tc*%1gw(=?e<WkB+Veb+sSd=Xazm0UjX7a|HYT z^^Py<E+d*LIdbbh#acLqz^@1z-?1pK=4w7Q=H1~hO}~x7&s}p2Mi+hv+>-b8K*8Jw zB!M6@WTgiRr-RKlhAa9U8skdo;L}H^c8NB$6D~ARM)C=hTF;rGQQ>Y;TufQlw$D+b z#Qs?yE0#Pm42pxA0tg0W${*=c!TXbbvSPK^*HX`OhbgVd!^<AnN1t<4{B9DqwaCpu zQGhyD@eyjKoIX04I{|nT#o6?}ti<d@d?zo|s5p2gEnMzwN=_E^&)(kZ$U<D>LWFLn zPh5s?kP0>U7=8RhZErWX2lU#WqU&Vx*bwm%gQQkFXRsps&rYAd)UFV|XMP4WTWhH2 zumQL3oU;NwS<gvg;ro}65sbdLb+`*vND!nMI>yLboF(@Y>w)9ea}8w2Q@%GkmRNU> z1$Sd$23;qWCxCpKW-v}mK@&2_e2&(deX-jk7ET=5YCu2&(rCgChUUFqmG;5os|{kw zn#wHP@I)4pB#5lbYR8foe>0%&ma$Z+k3FLSJ|AIkDg13A#{#0ACwuBqL<HAb-;Zv& zYN<~|yV1q~V;pj@A>5|uzkEgEGe%85h#`B50=A)s|8!1-2|;n+h@L#UdY(EemA6;t z=~3PmI^T{xB<7hv1M%i-P}pdlH#WVm4-VGVQR9ESquwR$3NO$Wqz+ry5dDb5b)7lp zB+P;LH4w!ZDB)mUF*jzEYwsia=CrN~bV(Sz@DNGH)lu!8e$;pL$(+3)^{kX=-lJm! z9LcIgLd3`ZY*hm9_b+>(UMOT3p@isA6r{KVBx%C=VZn{ddVaBwGw&Skcd{E6aVBvZ zd<g_JU%4?>fz|jl%GCV{i;O=boO_l;HX2j}DJ~`G*Ha<g_<5&*6bam&1MCtj=prq+ zrwYh|t_OY50Lu2EC^yXb_+HS;A<D9n+ldtd-=CzW_mR5pYdL#(d$f}-krgDXA?+o> zaPSt#hM|<TNyb8cQHEqD3F*T%I^ff7S5J54fxTNkd7r^b4qd3K9K!W#HGBzt9g3$U zgdBurMygx&9q_(e`FP`#gIRv&5Y-MZL(u&Ph=GLap9*-t7EOu&wrtW%4O1IYLL5#c zam>K|x4Tm`AL!8><M!bI=kX~B?~c^xCOn^m*kg;BI-PA!VLq+|TOq)I<n>!oI>H>w zbdWLpA#hW*B~SHok)0gP5jo3$y(V1JmK(g76#OmkeontIS;iXl^lNp_+Y4Yw)2j0j zJEO2OZSin|4_^P%P)or8dD>FoT#GP2Y;x%En7&_Fkjbd&gZ@Py_4Ev*tM)b4ss`ZH z9-z{hf63^`a$@t<IMpuk+egy<x%2KZxd8ycOa_iYAX1a#ubZy7pfK>6lWO!vSuGBw zvBB_0t7Je?K`n9pbutOdV!@WigH>LBAw^O&7znuUgit_-LKuR&^>`?=#2H;BlZfAH z;Kj>s^BrYAa7_^I{o(wz^Ovs9ii+EeUb|~n)g;@BiWNmcktz@X+*8|w*c7f9n(ecC zu>C6k3qy+@1ym?2914m^x$6_wRSxZv9ObB|zs%tPP}8|ii?Eg>mCMGTALNUiMT&lb z6|wl;F-RYt=P210%m)&CiGqNXRErA!GNfWfSCD@!MIV^m(Lm;sLR^NJEvH2G_~7fA z(I(AKYd8`qLV|zzVcK>YR`#bwyJ4)jpYx1}1qhP#eaC`7FQ+$U#op8FO$omrO!a-s zXCFJyhavdYEP*yAIK<zE$C73IyZm{7D2t3XR03{KznG3bB9BxpKTARIKC?4Mf5ipU zvFGhg{U%2fA)w8Dc6NeswT$&D2z3Ef7u_D1#7D4NeIy?`#A2`??!#OZ_F`i&08@A_ zE{v7ZR=FnQ>FVbmx8At=3u5UXzY%b}YqOJ-5-SvcL3c)Ge7=)c4^`!Xy5s{<Tp-Ji zBHT@@xXq1d??BSmiv_addx47+p$);B9bvxmca`bJTU1!>cG2VFyC11w)9C;W1QDwu zi*{XDtPXRxZi^nj^y1a06ZIYFq@erm3@|6IZeB6Uvx(8$=2d66N49n19^;L6;Y6+l z(#3VZ4q~n1`G$`6cg~}a{h?EOALuC=n4fM?jUT*59Ndb!pj8#*5JD!te8e`!O3nNH z5|zoCz2EN7nJCkBDd_Uw>Pvjn<dMt7gY)$#mtX8~G3Kb;y}0Pz%m(aPge<Pmpn#KV zxgrIDWo7$tSa{|PnfgL@LT>tnoq_DQd@h4wq8^RQ!C<=NPR1!SQpjr8ds3Il{Jr1J zN{=u!Y9KASn(9<^u(cI|&EQKA=m-!`S<q+Ll|NyqwD`kiN$w+C@1^{i4xY?aU(6&d z{b@^8aD0IN!S3!3(Wy!K1qUS3<d*RMzW3Ovv$Ibdn;R=Cq$}>ByU+!Ts$dFtGU8oS zO>cLZ;N>uO+tUna2B;&tt}(bX|Gn<JGT`L)dhyyP>T1b?=prMZ?FjuhZRiqN-_LqC z&Yw)c01Z4BFH(@e%wEkTc!YH~G>JaBt&lyM^1a!kruA^z3z(&YU+k;mR+e08xl-zs z;}(}Lpa#~TKX^sZhwndOfEC7>A*H$eDU&N-)0qbw9nPQzrJ!r)EO8SO<GXcWK_QX_ z76+{qIttS>Q<O?1d0)v<NhH(b)A7NZ+M+F2x^|^yMn@wBL90-=q4b+_w)fX7SiUlQ z7b4dn!0}JS75o!M2{_%5St7>ap8Z$iPn%Oz9)%2#RG(^J)|yoM2ugezbO4^qU>-4T zp!V4`=-OpgAHzSS=Z2l{1mk^8K!v25Kn(?}oW2ASEb}EpOED2QQj1mOUo`9uZT4IG zA2qp9a~>V+PkHLW_aO%OUi4&Y4QKk(eD~^L_wknB59Cgv@G8`h2pGIl6$!cg*dFxk zUQzL)K%u4RprfWy&4by`^XkWiJcldI??VEZz5^^+$9|HFr)h0_C-x`lt+09FRHsYM z5H%<QzwH?tjcm43Nc*&nR=A`CffE1GM)`hg@zGz|BI05H1M8zV;Nb5x1Hh3eYT=m4 zPo$-L^yVB^g^k+{eoUqUs?)u%xidngURG}WHZgs3di;ft*7T+tc*T%0c;GMw6+=fp zhs<bDrW(rwn&F<y`Z?%@_B$hX1uDr&@8_`lpCN@?4Dh_2*}1u$6$mLiS)0#*v9dT= z8YgaV^9~0M@&VlGGF|wNf99?dN>tHB{<Tn#YFN8of1T=RBE@<1cwpaW1r$EwVSdJ_ zWjGzUiC~{H8KQTih^s0GkUu-jJDdouFdgh{6YY5gk4Dzo*82Qc1RD<guW$b)ZhCbd zZdCezug9Ap&L<E|ZCDg|<`6>|YF~6FYES&_OWwV6@~2qCrJ^(7@p$tERtMo5;Ob3A z<Rqr&>44Oxv*LL4Y8xp<71c2MYOq)dDRg$u_uz+$*lhhlhB6U4{L6cg<)<pALP5|D zHG=ccq503}D54tjJo!vpR*&qOo;0(-QD!Bf!>AVmP!6!I$ge%RvqW`yOl$NkawZab zGOZ4u(?PGK?@z315S#6iyq8%He)+Aw-QFf{vk$cdJR~md^Ah>Af3X_u2LbJnbEYl` zU_Xjpb8Wmj42seNo%M__Mfy=#jUcrUEGf)I+0yHDn5*@te@-?Lg+pol_UdQ%M7UpU zQ^7%r?!n&rI@EC0cmXp<i8wLoH4$aw9L0bVrIbTut@`$a>zGkaG(+85EPC9T7b%$O z*ez(~G9ju^=e64+5Jg04D-hUVNobjW;LRn|pU`rGcX!u_d}@;<xj1v?D=7+s?cLWv zpMoGWo;rV0O7tru9L$#1{H}WD8#d;2L+@B&&#+KS^IwR9fR!R0C*S5+JWRa!X{)V) zmY28^isDuY$}(5IXw3i*cH>aK)VP>_re@h5zgvdPXjjUkXD<8w{v_54vgb~Ekn@bM zK;9nZGoXWRii5BZ`8l!uuD>06$N-aM#J=(!7hI(J_m59eXsg}i=00p}|BXA^MKNzg z9{cI$UI4S{uk)SKxF)B<-FJD>uA;#o;G-c){U5k7=s>bPE#o1>d12uH{T=?7JjP0K zK$LLyB7CxGRrD(he1@1&tDJT*1nN*MYNS79VPHb_WCrfl4+XSpReAGXj#AC+u!^6b zz)tg6mFzEOaq<ZN2UltX?~gLTvr@=gAPs_Qe-Zh~Rpc54PUe8QZsCH<3!!56iJNyn zb~3lcG<YRcKcYdl`~!||hf?Cy0;<qur5-qyy3(MbKZDg`^a8gy&XV;(HGJU5Z*@{D z{+ftv>Q<(@$KMYJXFH#qlvzTt1mY48fBz&Bt9-@R-Nq{MkFiLJMZ)>4E%dK2qF2-+ zA6@A-X8ePP6Adw4h2o^ZB2|H#8pt7O6_>O0ROS4?*Ltgg(vzfCw9j%vmuw*Mn}(4m zSqG{hXxFk;WgYSvzi3n7;3|wQ{8TTmQ>Ub$u;1GBXG|g^q(Y{~x?aeC$Ctb0u-{d_ zyDRwU?=tTNm0D-MfnsIHFDehrgG2tP5Z7<7ZE8(u1_vVJUXIkg^Kd;8Auymt_W~rb z=0JyIt?qX1jm=!G(K=`6oA(EdUQ;vh-k`^r)e7wET0%uLj&CFl7DN$uI+#7+Aykwg zR4TkbZHSIltc{rwB?mig`_Tje^0xqUZ2m#SuSy;eS6&?`!6*Gr<5-u8jK3GR^xBJG z1Svmz7I~u`&UBxu0gd5cns?|j4hu{jG$-kWkgxAV5nt_{8c^|{+RivytY7}ZOI);p z{E5XsS%_}>fz1^zmIs?#oXLJPSgl{o249{6?PuiWPS7C3Lm#%hdqAsW<I3j?^OYJQ zOspenxQur;4H7$w9nwm!leW|#8zjo1!@LfAH?NRdIeox9pf5020|KA-LV0^E9OQV? zWMflN`66xFpbocd(KpHe#6)GI>M3M<P)|@i`K0kFUHpLjTYGAPr|#{A^C`0rWrJ+* zP@=#buKYd)LFsnVSbC;kXCZYo&&b&vXx7yE)oN0RzuCm)MkOqJ&&5sa@jFJsdrihv z31g>B#%WembSMk1tAVLc4jRUqp!2kbAAEVTk+X}~f%z=QKmn@7=GXjr4<P(G$~)$G zBb-M<UFZTURho2(HM$E`aOJowXX8p#GF<+uEr;QYD!B5#H;npA?k3zs^tTT7WnzC7 zwMJn^dPH8JDtDKHaCYSuxexh}FuXZYd|<1kP__Akim;g~g(k&5%?e9@m;6{w>In)3 z3RKG-kk)uo_|uh>X3*lmT0_@U4XSQ)ATy-e*z~gYmKjIGB*l?PiCYnqH;>LYPP7#5 z!H$e)3DxDu;g+>NlW7T@`vaW-;_S#ooBx&PX@%DY4!EIk_LeOS3&<nyL+I_+;W_kK z6I%N^RN0cKp!zQxwi~?SJ&=2CcZ`eP2&U3aE@Mm@fy`r|f2|43@K<x#bOka7Gvb3k z_3e&sF0q@h+;G3Kcx(R89_?d5V#>dA7H=YsvEn&jN*&FA`rHJ!xHzNfd@srQO54m% z>79luW3w8wxs{M!K0q+QryxyFl`+E!2MEN!f~fQ7ecCor`_y%I!Xh7b1HcNZa;C_* zLU-k9XG$HP^M_Juh}1WHx2P~kWP?qPBo`@FjRdniJC*4<Fl4@g_d6J1A6JB(PVh1p zc1Tx2<4!)`V8Kq8|It9;3%91<{T2h0FG2`N-4%K!M8{~f)oZXC-sc<PW21qNmfSXr zeXL;EMO6L1#!t?^u;oICE7lp0v@U{}yt#C`7!h65(x!Mldh2CRDJ6rf(T?pO%8zqz zr+*_}KA*?3Zh{mk1s!B__X2=62C2qveknH62u!oyq7}Jxr~HJDd%az~#%OKr`qq=7 zZHgjx@TTjvjaMNF@D21e!vf}j7pSJ`;JY=Hm{#JGaLE#$+77(;GV`Yk(5g$^@{8gx z1C#_smg{}>3rIMyo4I!#jY^{2qQbp+Ss?cEXTA;7i>?@pJ2i+9(P_&Hf4Y6rQ=~15 z-HRF0KUa_ftTU8z0Rf;RI1S{nU{`6?L-;E^zbvCxa>j#m<zu>JYTmMdVy3~7R}t(j zUh2dO3MKA5a^!5sTnLe3H<_HvY9f`}?B(cIrKvA=t_h{@acLtg7H-pc>gasG*|~uS zGh-|P(<GaXIADKC55#2>3WOAgb|_FK<HY!%yTbGz&&wUNC3>>%@Roqhmg8n7z=K)U z{M6Ocm5r5mM1UJdC@UysgCh{S3iv{xFOn$4{3%KdGP~JwZ)kB$GpfOyzvA-1jT_%> zOSxkAKU)x7QMaRZ(9zYS-+iV28RawyDv5#;HBfa+duWz+e8GtQu^?unbG+W_oKF6z zI0nAT@#JK^H>xexzsCAHllLi|D4JvXTt2+)lGt-}wnBpikfC-<&iZOoZ>PKXpn4~t z4N@ldQxXJ`43KZkzkbj<#S(tNzV^o>wt&h@zQDefe+!O8sgVv;-nQuQKXOw;wZuHx z8V>(E7T~<r^xK2O+?lIa_E<4?R8{cuZlgKHe!mD#5Vg|cdU)D0pX|Vr0bcX9G-tPJ zSZ)tp|H-Ct?we7_Wcp`Ep3Jw`gP?!HJ`Mer+50v=@}w;S^g2uS8-u#jgI6hedTQbv z46Z(8Y<l?n+u+mHT)+2E>=E<%S2>a8vcq|Q#v9%*jf7K?wz%|lo%SMY5r5>)zn;;3 z6*a&Ldlos7;-{Usz5Mh{eC{9jTKW2T`!v(krrt{w)=%k*0ri)Wai}FIIY!jjJlbPD z??^^sn!~*GiqGF<WS#Oo<=dZG@ml!DR{0pN;da432+?|CifVZxT=>AsDDKvG68tk% z+V&u@$01LLKF4~!LLx`ikwzEwIyw_n-e&EKs^`4OrJ7Q~Yg`0N<xEs1(DZa<i}ZnV zg<Jh8EWl|xNkV}ah=O<V+AMYwx@Rty(o7LIo}up_>%$Hz&?mLbF}aTN6`uc^8&y3V zwY-XIdp(hZ)-ii-`t9I?n*EI){{GS$Y`!g5cj_4F0I|jb{S*iw)sbgtTq-hdfXi;& zA;4n}*pkA9NHLyh|D%i5cvKL98I1-sK~ErgqG!E#m}cO~n8wJH<~tbz-E$!Xi?pvQ z8ur_1d}dV97CmIBBzgv5#qxdMIVbm%7}4<;$xJUwNV0^#jqPG)VlUq!?^Pt-;y~_M z0I^aLl@xdT6$jFurj(ha-}7~&^^^ybWW*Ua1vUAj+<Mm2Ve^GNG*SF9G30&@laSX& z^+`U_u3Gk3rgr8pmqGphL}hyew72(mn-@C#u>4WK=cciVaGn4uDv3p+*8EFFTz|%R z@vkA(l-w%b+*j+8XN<Mn#ZA|OnT#=LSBXLii?V!xoIFX8|NAV%(P6p!Hubwp2N5ad zH$jX5ldnb|(o`lX%bAQ<cU5~p8Gl89#Bq8urL_cLEJf>F6(#L^g9Q)OO7bGoO9k|! zc;FXA8<h8D?-<o5nzl?^0NsO3>yC(gMnFU2L52YwR7(+lv2q_LPM*F1*ipAFDtJjs zmaN<>X*S75_+2KA8i~Q8Ger@hYICgqygG2_T^97-x@6k^EVKvhr8ajFm;09@i0bjT zs0uD3Q6KWCH}R=^w<SqJ9qP&^pcu8F-BeAv1X`~bhjGO}Y!4;Cm8~ZzEDQEMb@b=* z$6O0kBdpGt@tc;#&a0|(Du+#biKmKK41xlYb2Xjl#vkIAXn=aEs9D={d9xOorI;eZ zX7BqrV5UqT%LTD(^<^tDdR*VS%a%Fx*O7qmWDRnO<`Z`ux0mZ7VskOOo|nr0;XdSP zdGGsG)p8*U!U95X!u0q9e(Us;&*r5*b)C#`5OFqNDN(&4aF0dMn0vOHc_v5zUDC7- z-PSr>{Yp&C;O+6d^1o5!CPI&=znqYN@oKfZ6Uuqz=({+T){1Iclsk7$oX+bTW<<SM zJ-n*rjo0II3+2sY#195c!r^Z$VkCvHzR~ES*HSvIdnTK4?Aepus6M$CirD$jZ!q|e zU-LGaDdFE|-$bmfXw9h36rTTRU4P)syC}sUN+{EwK-VxEt<7h<ueS$1_j<;9Zq+`| ziwX_tDAj%9i^NTaR7-M>kVpIaZG2aisdawoseSrHC;OBV`R^_r36%HOs_y&%0B8TE zrTdNff4x2TKUM$#uX|lw*Sa=YS7!E};U*<zrIZShE!iu@IYvf^-n>!S*@R>Z*C>=w z_DG^^Az8`2-_z$i{)F!@=kYk_yq@FrI_Esk^Yxs^W#7wz*xhILJ;{~!Sh!5$9){E` zap}*k!uFyIOd;2Qub=c5V}Y}7bSthX*xBdWNMeawMhZ+lPkY(#-kJ4lp0Wtg$_mXK zxZDQ$k5O9CvmvZx+N5DjPCf1a0^4+ZAW63f@XTM}Z)~u~I<_`-P<beNN0Z}#@$OH5 zo#yMhjLsK#>4<~$?Ag3G$Iy5Emg~2>o`iC{{5Pl#QVH?EVH*`|lTz~DK%O&l5H){> zP`jQa4J3=)QA;YQlaPYg;#-A=9**F4E?+7m4VE?Ll$*L@?$X1DR49pTE3_>GkKqsH zg#t%R%qT31A#QTm{^W#N%3glU*4hl0TcAnz(O7D-PrG1bDgGZA!5M~+UP(3?UpM=M zZoOhFLOIp~8XRejidz`0`^mMt<|D7TBP%Ls8rp8GfF{b`h1OLG74OlatI&#wCA(|C z<`Qj`@TjoS0ec8-`(iQykS!F>elHA({2I-ONEg@ZAUdFwD<ZuL_1{q3PJ|f~BTZjh ze2nJ^+r31CI&kvAgd@eEJdTUpn9|Utx<+&=WPytW1NC0tA9#1lXdDc$B7MqH3OZ0= z-IMgIAbgu@*ulp2h>e}#&t3e^`X3-t4^Eb$mhG-TT0Cc6O_FNls1g;i6!=lhYl=Po zDK-jd_;eNL#&LZ<j&l=rt_WkM#>!TAvcsXu%jns0R`+qQpU%xK?&PaJQba@?d1*2} zH`dPs`BAt-{U&@V$DqvCeD*b7h!eJwC6xJ2@jAXn<Exhk0@9KvZuTYs6rd*YsdBpt zilx)6_5L&V$`ngHEU^eP8zAwa35qzd6Jr^@H0%^AT#v>8c9J^EtL2d)TK;(YkVu_& z7GmKwgS|UFSl1}&Hntx0aN8AwTvg}wzr4h=f_jKxgZw1TH6dY}LqS&1hBg|eTdSh@ zB(>_ki)0WzgtKzN&|fCx%|Qm$nOhw2XYaKt&*7}t&sIfAAc*S;?+EQ0JNQI?FCESA z`EggbmdlcQol>LpI+d50|I)9{wYVOsFNQ|%>PmqA6}t?eU(Wwc*-N|3#n_LL9yXv# z7a(*`n_e#hF}X*JOpy=kDf-ha_O-!LMOIQ6&WPaK1RzD)xV?~$O#}KTh(@-~manoL zvgfY(2A6VQ1$_L&?KI#X&G@EA4DYONg9OS2a&AmsNJQFXbOsP@cfGFOEqcYd3%t2d z1wY<CH|TN<+vr~%reW?j8O;Sbv^z6IfD?DfytYHBI$^6(>&y;s`rtngf1RmO_}QV4 zlIJIW+)J$y{w5#rw(`@efx<I?GhnONqJxJ&@o3S-yV9z^fVrcUwer0aT&M58KlRIv z{6Zw@YZg;2<z|A$9Y*J)?B}S>)a2wOdGttn@|z?XC~h>HO&sIr(#9)ON<C=9eox6A zRW)C@{wKX3sxmBA!=TMHD};9PK98%Vv2d%6E31^><+1BqSNY0~Cc5f9J(AN0Yl}Qe zd|Wu7Jj{zmN$`&)1=nRd2E#umC?b>rr4u07xWOBZKc{90^kxqD(6$XP_D}5DKiyx) zNI~JjrwHK9ybIc)4mH1cOvJGw&?4j7fG8+`FxxX>U$WN`#2)N!I_BMOH1Wt~uAZ%& zc7-|&un){3o{Nu$=CBc(s4ViQSF8@0QxkrA*F~hF4VyKo2_WY|ur7jH$s9EJ69;VB zJj_o_C{=Dv`q!b;;|zTZ8%65@qHSorqf$1?4`lu((`Xfr2ZMSoHb~MNj}(~yWccDk zk=1<d%EhU7^+TQ9s$=yt_C#<p@X1AxB6yDb3!VMOu_rhbkQrX3Mnu#2q;nq1YfrU1 z*_GR6z~d*iEw`#6D$-s|eo-~KD2(yG#@qxeESr(Zh6S6aS`hcwPabFlW2p!73gdaw z&RpN=r6&DZYfvTI+}~~*K9<#?<1Qu|RrKqkTlpuy4N*&;;TyCF9SbZGDwRPx(mh<p zkjA!GTu~Tm(t+RfA!mau{?W}_X500ZN=)XL-iieYwQJ_iXdyB;o&}Eise2wY9g}d* z#2D~>bkaVa-+e;~%A=m0*(Z#Wn?rGS(DA(jzv529tt!W2E@rfu&P(#5P0q_+ud!!W zApIiDM<Yq#F|=AuIf?Spu9ZMlL1NhePk%Pfjxg^xlg3icwK5U`QU+qaYA6&yMv4(s z2U=nFH0bXvV9aNbd}Hqm{pVcW{U;1@I__wOirocTGz8d(oBvMgE{5d#s<YRuV$o|R zYAk=;Ka^NhAEm%T8j8T*l^Vu}u84DW;@X<&2Aeaz)@+}dc_MXq@1OTX4YDQ8@uDta z;p-;-y8L}5sNY`s0JAIpN?P^Eo}v3ti~nf1IG1deYvd_psXbhVLrHLJNDL}46DU3; zS11#h$f*n88|7e$%H%cT&Jy0Z^16mbq!xr%l+K(pS@aZI6TFsKjr-RANlOAGnQh2n za%@xlbEL+HD>bkjPXzd5bz@o9*$yANVqoRh`YQ(*Lb@)8Nzm`5lG@g5I)o6j=qNNy zv!a5$wDFRSk<r?R+-3%PCflt2hCFC!kh1okO$Hnn0mBWvQ6MM*+P;xgEk|KiL1h(; zc-G5C00emF0Z2)N#-pQ`{xQ8Os!gZQ^VT+?h!c*aYu8(bH}nqg1u3(2i#3<-T(-%G z(504>siG@Z!=cS2tQ%_&875Lya=$f~W%}V-hZ`r>D$=im%k`3X&a|MR*$;I`M@!aY zPwymIU!vi@78JE8$dEfDjwR;0Xt7w)&GZhV@#8L!vp?=W<U<eMpdN0`S3Qy(l=q+9 z>%@aq+R{upx#EyMeXEd@x41b{;dI>Nx1S~ob8Yys#O3kRC&#bY-9lj}iVBdN=Gt$f zdB$DBpcF%20mg4M2o^vSF63Y3(67XH&sCP_Iq1H;h=;D*k-c2zontE_$dV<b-vE|O z3kxp2=)n-~;f|@c&f!{6Z17kN<WbZg#8e#croGDM^Og|OmIr9SsUOb@8yN$0_Q)XK zB-jx{w9G!9>VQX}dCNVu2j;mU&|IIbo{}ZG1Oxax#4XEY$`w##ea_IA`@Pq&U69u| zMfBiyV^F1606M1iXb}tFt$Y%v<J%y2SKiY^6^8-Rv<l4X9$^nY8Us5y>CNdU6jo~6 zO^sXDp+X<pP5|kGds#l8I2KQIkWFck(eWzSlshQ%7sP>Vg^ar*>QnhaO5a<LTU8zJ zFWZ8+e^f<$tKBQ|xaUvK9y|%=oy57x?LqN~Q5WIw!7`6Sa|&&$2JZ=Q_RSS&i8<9z z)aaW^p9?BR>P1)Qnm~9pWm*iLOmz$oA7BA~C?iDumyT~NPkWy7zR@_v_1yW&><oFG z>&XST&Kf9kw;XfH2jibtTR4eYeg?JFQ21Ra>n%AsQ!!rLx|r@dKOR)!okD7M<b!Y; z+NYIIeBGTJU7@#b54m?9Z7cWw&!`>g8H?%HK2t~ESlNBMxlZDcgOe{2kj!JA2b?$K zm0{}R_=-Ev28Z7I5M+9)B8^W$^Pf)3!~RThciTep=uwS+kohQ*(qZ)UIVdoJ&RX*# zB>6Hg=3-!M_8SHX-!EtFn4*!VxFkj_4;#DJA~Dqek}?{o<evzVn8*4<I-Wa`2@xsW zLpwR(8nQ-j<d5F%dhvA+o0ladsZ)m6%r`xrtSZGIfhtwik95BAug}MZ*Q&&A*}jg; z7CY%mmb+C%O`RSqjrJ0+fPzY1QWc(RsmH@U3TgN%4Cz{vaa^GqdyMgzvarD6MqN~m zAuei<`}WjZ`a|VPTc*UWgxNr*=BJ;g&9k)MW&u3RfT%DmOJNJg%^DI^J9=syq%Y9H zs{5I}Dw%r>Qzjfnb7s$ihS{oBY(K52x=!+(4$A@ai0aNNAEFDzzrb|AICmo)NJN;H zPs~dEBSd-ZdnH}qmdf0T4=cdDgfWYLizwbVau%5?I_b26zqUHQ=0HhIWhhEo0u20u zxe)txis8Ts9?xI)?*_+j6(|Lv1Aader$%v`2B3oWtJvnI2D*z@uh#E8dH?)3H-|i9 z=^#@1{?w4nR0?!pmfLR|-xrFhKVq&-#Fv1Uf2U8j&&k}Mt$F=8|II7$XTV)VF~}%f z^Nfyy1j*8eo^({<`Y;R9n8^q^DZo587j%F6=35%0h~P5>aQl=Dqvq)+PB>!U@h8#@ z)JTKxl+F{&7gYorr*(<CbgR3|zQ3rD=m_NB%h&a6Y91OYdY3Uqn_WT4t=<f*eUM0> zPP6ln2u9!VMI1Ju@gAsrNq9qZ?{^kiaas2;!%fCur*4yV>5EQC|5jHH5bl)*iHC1v zxBWuM-@T!W7TeHXSz`BT$0^~zk5vfS^>_NC?v~elk-jU7f1wdTYgoP2Zs<hKoUy^E z!8!_^phU>-q+U7gglhO=C~mSos`0w1MT3%kWN~M9!!2+?RCre6uNH(jN_J2pCty$i zA+atI^q>Uk6Z1@hSN~PQLd;&)sN#V(j~F}Lye$_UH~)1mH1InY5;P!D%=H&?T$X^e zK%Usb!j;djM!QBuu%6a)Ubf*mB^3|V0fxY}W$hP^iuV+a7LhK~f7;gM64fe0m-w{S zU{^CaEXLN+Xrowut*MQ<;Ux7Yd+!W`;#PQ4TyM+4ypVVh*7N3tt-Z^tL;mP7{^qvQ z(mm%&xw*fS7sSIBLQb2Pt7uW)O{kyruxGNIXD&muP07n&E1TyxO4t?YAb75n|MLXH zVq*#IU7a5ZFDZYCZqQ<EEz(yzjngCRYLVKsx;%Y?*L)9IRA=s)<E0pke>)U)3Zrhf z6zKKHfbMAKe=VSG-;n*#vCA6?FEjragLS;s_b|3LyOVmmy8e>HJn0xxQ}#<VVQqf3 zHg$<Qi$<E35vtRN{KK|(v+H(3D{I9o%o?||MDCL#*dC->(Nu^x&1gxYu|Ohmc{giC zMi$SB{H^8B+~P$Vwl@rLD<z2sSNqyhf_tT`U?yZ(!g2<2bmf-DF<^2d%kN_GbV1he zA`VgP7!vNZ>YN5=(J1h&eMUsvfQsb$K3NvW3BB&}4Zi)d01EGu=VZp%5P+?g{8(83 zAQ%*Q*bo;^J<wv71P#b*o4PM&6V$#B+>zkLf^nv|4DyeT1Xs~{Dg-+rv!Q-k>HD*O zxuSuXqCkUJ2$iWYZEE$?Y&o9mj51#JjOx4;^HUkm!Wb*{9`O7^zGU;>86NjzU!Opj z*=v=KP8GM8lYogGd&e+fsXJ1%T0X-ijabasqmRvfw45#9a=Y+enZi?efIG^5x;P~u zc(%X#TkR27hw_p1g#2-dn$7St2+~jZ+GP%7QSG8y){nbT`Bqvij}0Yj&%l(&MR&Uy z^f`etOm<f=-WJ{CDs7kAugZwjeie~l^X=#QVCfxdgWBvKDuu0RV$@QL)M}-W`Vum& zAU;A8F_@0nO)i$>a-?Mk{w!VsHp<nW#Cmj3zs<r+GYKqEH!Sv{Mp^O?;r@20HU{aw z9e#)UBcEcet*wONTYsY=Ojt{;PJz+01H?sni#vSPx~ZNNq{jdxm6Zi*OmeHh>rGE~ zn!gJtiR4?<3e6ll8yw$uU5@+Gkwr`S@wenfR$#-HGj?g(lL>=?ztV&Qn34D|;-#A` z{@|a=2`>fMCI(QXc4Diy?WP3yv1kBzOR<QYJI9G4q}jz>29LfoCCh@NMid@^lV+k= zbd_E(B%4!X*ZrumE>41kMafTrtOv8l|HCg!DL{Z@keYyzRpYClwXkpLh@8}j$siM* z@4<oi!Fa<Yb@8yut!J(*^()T@=H9BHIk~`Se5ECdbXnf(p&2zo;cVn}ro6IP1DQVp zPw#2@^1>P{u+7P*_TT0)U_mfL%<=Nea8S;=ygydhB*2|w3>G{w`bIPYd_z~X@}f4h zn75ftI7-csl`|T{#H`R_C#M>VA`-5^gTa)(Bikx&33a<-MP%)jVlQ>{HC|@Aq~*y* zJP+%dJ~|mUF4?-F+^4H<m)w$N$olyRM#<;mkWh)w#n*tsF6BisceWbzEB8DTa!H?& zlEUTk>hljN*JGbtwzDsx3fY0dJz{9o0WB{qse$Ccut|Z1Dj_?b&B#d#5|<)?BJK#f zqf5Ub(%QIuN0FMezu%`!(OY6%7RQ4P2?FK8G8$|%tD-G@kd3qWN2=kgaDCsqHnVVH z_nn@uKmWN2QT@Hk+fmWv>)t8~G)qq$1KV^&Ej8{1L3i4}$W<d9x7e)6h;n%vgtI03 zlkzVO(4h&3p>~w^s2qg(SrP2h>bKrX@{2qeg2Tj(dEF~0J^FD`3DBoI&VIQ)3}j&J zP)m12Go(TADC#QcnmsMiu#)tHiLQSKI)Roys6-PD&8TV7UbvVX%=qa*b82EeYE2>E zBW@;iRy|z5-ZW&)2Os7bo`ulVk5T^n>HKATHTvL_BPXa8Hy+HtJ=E_;{VUwBES2V} z+?}HRpX*TW19tW^llW-8FEWy4cz9>10;{I(QKHAmmBezR#l@vTnj3=bsdECuA7757 zA(5$=@W4!SeNKn!nW_sXL!sB3Dd;q4(9(E%v!ngmmO52C3R8^;mp8)awl}a-&&Voy zD3Tm+1lh`Fww=f15VbpM>XQcmeZt>1?1BzRRN+Gd%Tx{g<hX(26;wG5^($rU5F<OT zFSeT>!$e5pzye4@K%wSC`>c;)_V~Y)_4J1C?Z4k+&u90kaMlc>aSsur^+SVt(BMJ1 zc9iJE-8>slwZc%(AK-Oou!Gj5lN|9H(S8oFwK5FNf&@cg_0m_Fm^9S5c2R##p`c<2 z50bdBz!LQ#{XY4J?FVi$10xXb@OqL&xnUpPw2|=^(l6A3_2R@O5D%~=N{<mU*BZ3- zxh>a(redp(_CY|h_=tm@Cttfh0T84RO%WYw4#&{vt?Sy?3VA+pq2O91Fdv2S>DN=w zAmS=B2N`F}p=^`cFzf9>IQy*zgLVD+VZ-2BRSy$P`iFVu6~fUIMD-Jveb%<uOm72~ znvPX^Xp0Mcq1&3_=$hqP)%w>0ONzyd1GjHU_5_Jq4?d;IQ!i}NqZ3r(BG(7)=!hi4 zE*3Bjk;IchMo2jYDYg-Tccut%!jz*!xg)B}SA;;3-t_L~3mbKeZG$^rZ6;LBv)*qy z$7*~xTO177Fxq0l0vv`_q=O-sa+Mq4&q?cSh%UO+uY>8VBL~{+xW24jnE}H^ocy#V zLDJ2~VtSI<;lV4M@rG#*tfA+PA<UVO7J7w&Gex@M5f3$C?Fcaj1GU{IasV4qgdSEp zL(!j$S?(~Q#>&y+4w-NDhyZAE?5!n^)ES+L{}SrKa6oBcb8dsizGmrIIENlJs%$ZD zMD8zq2}nCj`rT!1ttr<;pzJrc?ylYz>Thjc@6fRxYY#riLE6!cYdWwI{Z3!-oq!~l zZF0A!c2DsP2?h%r+EGrKDAJL-o0|k1Sl~nJ?TRbmgXv2T->XjN9t7_qG3z)9*#tNh z^bl(6rWrc)00dLLS2?YQdgQ~~JN_W*xbLkL9{UaXvvjM42|Rb{f8eMNndf>$LHFsM zN)|XG=+elLu0>s=;zzFff0sR8{F-mA7=|nYS~U+5ZPHZBb=ZRRc5RhXIzQ4Y*k$3r ze0PMY;fq@L<hieCv`7dlXRXb3TR58Q&G#;8<t}lE4&n_^?ujtjW<F#--YW+7ny=Q^ zf^$+|{Jy>GxALF0gftI#2XqA!KMg(CWcYCm<wCVfJ?rf`yh-`J2!+V3;5E&$fUxDs z=Hy2eQz0aO(ImK_@Q^+0=W2pQ`q}Is$u#h3RaCL$_p7zWZC|YGy7PH&-t(6&5H!&E zS!VCw26?l!(vNe&suj-zq)YIMSPW9n97|mNlRfVCk4}#B+mxG7dDQ`d`2aKP4UxZ~ zQ0nCGr=8zCM^5F)%gvPE?*)+H;o{#%Iir;)iF$$=ip)&UbWH&0(bqw#&%~zH(Vv@I zd2};0SiB&25uHb!<BKw^4T=Onp!(ibte$;WTZJ5bW4V6dt#|j;-9ue;HY2a0bA+FR zVWe@Y$!sgQEJj(J-}-tTN33K^=Y%DD4(&O<<*~wXQ^7_qH-STPRDl%qO@8pou|B(; z8c<BIxSV(|mnQAl;~86S2`|D}f*IBQr4Wph2g+|=^VtvZWnq(Tffg3fpe82l-`_Wz zSX0v#j7D$%vUeQ3*}7qjIgBV`CQ_G(hmQ!_wCbkw)9*a>K01Mz8wPKwq8`;4awy^8 zV;;k<VFo~~j|qfu-h`MYxtEoWVS)U`PKTa)|4|*#q9^h44mYwJ?(soyHdL1FGH<vW zkg<qiFmWpLc$YMK@L>{}^D+p6N%7L-=s|5HMHK+q1ssdgQ>)yyHs?2s2Z~graCFW+ zOf}+uz3=3P9xu_^JB$zlwuYP=R6TSUpkEaaBI~Fnpc?nEAw<_#jdKx?`S7$@Qm;bh zCQjzYtTM9ETR-kpL4L3Qz>6NN>82w>cU<<kNA}nIy`L5YZ#RcEB12?^@1H)iU7$EE z<Ad1M$hJt*l<j=qAP%qpm<LB1ZUnaQIs0YzAw<}o?68#Z%VY0ZYW5ehrJ#BM!i6yB zf*@|PaC)@Bp=k3D517qI)Ipc78_D`b%Fv}2g?Ovg7dCtAYg#RGMo`-9eFRM|sUspG zH^AHd$~~Q5oS{(wet}Gqcb;GqQlS>zrYW$oa))1VW<(INdIR9~?&J?%DT<%<$RYEG ziko{{BN!ODOggdMkhVb12?$nOYn}cW0+Aav59*oc*7l48+n;UaA@+LY3r8Bb!P|1z z>HFK1q1%X?W$Z<GXW7PTf7ssG4rN{~IvT-5q~lxBJQ@-|g(H2b;H@+pGTj`iAXCb? zH@L$8b9;JY#qDU~wmE3^Tx(n7E9RxUt4VVfOZ<1r?zbuBqT||Gr+>R6*53#J-tynU zw;u69N&r;Z2!tm47vrJm>m}v(iWj2Wz14h{RtrLM{(-S9C;$)TsOEK=%)ZiHFQ6}G zM>VjeMTb51h%B>^;|!de+qLtY?nwyR-rm}OU&KI`0l<>6dg1=nvFKR4oWKt?RpywS zUA@mWL+r|X%@=kA(<ZGQW@3JM@K1>&JWtIQmNE)LlOw5#P&#(k&l-|C1Kgf8B~K)) zkTuoR^kTN<M!r@y2N$or+}+$riK8t1xnNyJxvsU}rX=;}s?W-e3%B>P$&<~mFXShb zXzZ=Oz!l8ZJf{V)f6nxmPh+}PxVg})M^|HjGKas#NSdbEjU~;YT87sinfui@nzt7C zY>v!6Pi8KChOUN8OqjSm$ZOIM1iWd1vBl|4zAHm#k~yS;kx9|*tW~7BDKrR1#kKQG z-jUD;$8`Vo*?oUXH}KA3zFSE~OPbX6%MY(ud=XqJyx?EsHq`U`sMBVTb<7?nS3q1A z%?9_kyMHHpH$IMuFVWmXMDfs`v*1XPQ%X6%HnJ2DS1g(!UeNpG_W5Wx`WL@p-W%3X z+v68cnxy7K$1K0|I!<xyHNX0@PTNnu&e2*Dog9$H8{3oa@vBFOf5iv?7l(K(QcWkI zsnYo6*Gxo`E@!Peoua?SQF(g$M8wfft@=<WS#a;)%(gP|)}uPl`fNAxw!4jw&#@){ zkV=Jw9cow0x&ES2b43q68sVyLYufEsbD~rn&Rn~*EVm*SZLxDW>Mt5`Wn?#SeS&vB z0s-zZ9@}5~e&$3x%l|=AUN67ij&|B~8@iNxw#p_Tj@QEAX)FDR`e3KQh<skeU?)5o z70wR-@KIu!SWA)>@^<Xgtb&k-24=+!f#1$yg-VY_Z8OgRl-rE?@pQv~Z>>}7qbiNS z-cG19^Vl5~N@(D2x6_8w`e3Eru=W>IU1eE92r`jX2G$M7;`3gm>d=9AphAoQ0Pr&r z)S!jChU6=2Qt{T?8WkUl`Hd(yn|D$>4gEA4<2%nN)2`1#oYkSUzEk;{EZVy%SVse9 z0OAM_-}E^?1j^ei$G)jjZ$t)d*Ejuy{#?H1;F@Ehm18r#^!=W8JS2aytmLSzQG2H4 z<4d*eW}A0}-#)^RRSUCAg?&1R+8)0|7s62Bp`EMLMrV(cIX$wzaALuW*Stz;$R-Pn wOZ?9<*`{0tvO<Ibs6r9`9xwiX9?62*H`@NeD;LqGA+&+v858{qJ=^gA0^4@vzyJUM delta 42325 zcmX_ncRbbK|M<Dry<Gds%)GL<jHHZ9Nn~cPjBFWM*{>HuC8JPQ+%l6Qn~a;viYP>p zy^<9bGVbr{{rUd>@Nn*Vp658v^L#$f^PKa1J^6}!{RLTRj4->$6Fi{*ss7EUo65_V zdKj`!<<M9&7^0N#5cVB8T;CU}%CE8UMgAd?q}0MkXwiaj@A(<y@QQa?t!@?wYEw4P z=bAIdzDfXqDWRXInvmoMkt5BKRyA!Laf&h>oCcx=Y2iqrGy~*i@*fRki`bbdA^rNc zx3|}}zczV|Dr)PnKL6y?na;Ml$K2OnbE&noL0)z%BYbNir039F&h}p?HhC)v`@`vj zetXtyg{rN&I%i)79^$v_XaIaN1iA4}W^JWyDus4;BXlRx-g;oh(MK4uGjVo9qc;tM z|2jLCmCk%=F*4Bi82}JRtPtP}oN{#JQ)A?+^fk%~MG@71eUD^AT(n;c7M_3mDU|Qq zm^c6(Qy5|_iM076d}DF_&?9`6M;LG_9D^a{cW`SXsr44<3g}pxFh>AcN^M~9a<$D~ zU=j;&Z<973u~YorWK`c@7q<AThynnXcEAt~ThG31AAv4mG02U>!<569hU?H_c$&lk z%U!7in5;Jkig*xl5OpG#@o;yn|AyxN&SHYSl!)3*Cm!CNJ!p4Hct0ph_Lm2b^3Lk@ zg?y+bdv8JDjUnmxEV2K_53TSkuc5s!>}@+;2XFHKtf;qYmmcmeGHG3I{`1a|)Lrqu zCA0b^A9OHtWrdNn@6|S%W)rpd`}Hv2Vw>t6>bv>U>6PJ4$@vlWAyW}wO1Q8zWX+Yd zC(G{*3;Od~aD~nPPvJdCKR(3imV1Xb5H=IHlD{G!-%7vauD<m!-?up=MRb*o`%Rt< zAkE&$yI!CCK5B~OiXo;z(2K;q?yxB+fjBA-6@vY_TZn_XS8WH^WP}yg>_r{7BY4P5 zY;5HBg~|zWF?`?FQg7pF?%r_xm7fDG&ym34ZWV~|L$UtQp&?#9HTPPBmxt$Cwe|kO zK}E{B$^71h)lf8_WmUvxayp7w-83|Rx{_n>tNfqmmoV^+jUOq`M(^Cd8_o{tj?z~M zlsjOV?x1k1KM9q$rqYz_X=z(#3c_vBWZQK??66dQ|1eYoB2qutA0Bk}^O0QpmIi0+ zqaqo_BkKJRBLjE))fxNPR(6paZ`7lL@|#*&HY!Put3IuwfKQ9G@v7nhn!&~{YNvDl z+ri%OC?DTeUQ|BER>)2055zIh`F(Qjol(aKZP5zl$jcn{SJ$-#fmKRA4Q)xNaDa~m zSIGR$HE&h`u8z_Ym3T$eE;<WjycwW6sVW!AoFhH9g>rD2t6&fQ+9|%KniK;f1g#RS zNMFlp4t{#LHP=#|rzP@IG-<<iPA6t3;w}fr{;<S09`R64$)|;AsnxQ!miTj<{Wbq{ zAWI~+Wxp|kacbWjYGz;OuHrr6+Wc@e6uGe~Hm!7MiPr!sFAiK2lOx*l&&1iT#ZKrT zMpGsP@HQv!UHA7SIVv?I&vM?nXQ90f+*7pUm{h@;#W1y1Rw@L5f4pg>+Q0~sHc0y= z6)F^ylu&bR>uHF&TKCJ9vZ<t5TVkPF#p;Icm1RxrIFI^YzQdID33+7YeE4}-#qKOu zip(!(rR+a7=DRB$JVV?fpJuN+qFxUwGe%$RzqtCJ^Lb${1wjhD9c%fS`fdW)v7Go) z(4hI{$^}pt##Ry?mNhbd-R$$~dfmP8n*b`OBi#be-@WZH{CxFQAvo_d&eV_84N;N4 zd*^4G@;263<<G1CZwj~C+w7e~cWMI0*=}DEm_38QtQ67wSxOTCXLDq37nJP`_hE=1 z(kIUv0_1FKP`k7gc+7Rcbqs@VCkuKH6#8qD10yTJl4?Wa7}P6`3V_y1NK-F+_<^Hg zj0lKsQB#GB+BQd^Lv>O;Nll5e@^EXOkGJu-D(Lx-SlK%}xgIjHAy;2#0}KGo$T^AV z5vIO!5HY1qn&z9>p4axmh}s$w*}!DpZw_L~4NtnMACXKJ!Pt-_MC2L$CwIwqulq%x zhS;5S7P@Ssah^AY_R`9q<BM-O{?Q93k4iXiFdn>7-FYTInbi=HV<eNQ6)uL@Sh46s zhRHU$9hjU#1@@Eb^CJUj2u9VgxmTf`E^ty>!=Q1CWG{lrUNmckSKpP+rv3cSUFkmf z5bXCfZncrtn&tlFBnd?ACrDMcK|%}{=il^BMzz|g{Ctw|q-AA)u;O#zOc3ad)(%bh z9j;h~+;H4eCpp^R$+f1!Qp0W!R}kb?(s)jRQ{`p9P)<Qu9}ZL7=sEshly-m^r(W8R zR&{>y@XdX7X8-3im(X=J?*RL#CWa(6|MAe>*16$>rHAVXnY>U%Ur6Q^)jQRhpC;dR zr@UW$jO_ansk)|{bi?L7?t2TN5U3zmFI^wfof_UTx9IWl=UgJ|tjmK?*jdp2M}9)V zNY1VDSjbin_5YYhGOfJ#_N}Hm+;oTusm~<sCv4U9c`tO!vA!GgbmjY8h$6VlsP3eG zqg^_<CREKn0D0KgP*owPBBlAO*;CmQZ?7zrM7Ji4=j2gxhN*~OQ)f1ypbzM{p>(DD ze|lU{iiSe5T08nvhCj}?`zks8b()-5k!kbaTlZ}#<jP4+)6@MUSJ2=14X>)Q%(F__ z#Amr&XZMq_Z7)fEa*HSp^8Y;gB=;(Mja_$CAJU_sA8&}wq|Dw7u^f$Z&8N)nYP9#B zV*S5OkD3^1zuS4|3G~H6i09@`fqm4C$-ff<#cg{D;a?+__GQ)r^bU7+ez2EFt$nwO zM~63l*Z#2$o-kd~1b?LV7&%+kBcO<!sq23$+V(tosP$=y#{Gjx$;k%j@yl;RkR*Ya z#8qmA7fYdvTXjo*_Beodk)k5xe;cU<kVZT8&^RRj7XVf60q()|OZjG0lK<NT7LUPv zYbPJ_8Jn1cfPXtW$LwtsadL-}2mbRPkq%~R;-;AF1|;)8covFyu*6PUHk3nV(>?hw z%o_>;ykVLcEf+Hmz{mbuO#*6)hrADmNdGT?VS$Ed;eZ2AT5@ORYfV5P{|D^nYr$!< z9|EF~;|X9yZooetn*(n0HV>w<E17`k5p3Q_3@{ueLw?2_)PUs(=2^-N$RQDc2Jvzf zpgDq_G^K`P$qiu3=86R9BN&?}il}ka^@8>+0)mf7*wU~fr*KDo?D3BQ{)og2R0}x2 z&-jnpF-i1))c8x$@D%h<v^WRxf1(Ma8pIIKLFzuE2nCSkAE*CyzTF&5IRQ`{yGM|% zWJVVO!5uznO5kv6e3wM&|HMHO_{jl~=Eww6nIXg@Ah^q?b_6ESrpD9)VmAQ2=nd$Y zIHGGqy_pUWZDAmYAPX|}^yd+CYC8;Bf+<cvi3AM<22YkX<Vr&li65}w$ZZvwaSbOU zm;+00=dpbF0q{T+Pi}`?kgUF}a+m<#!sK5Ycl|^tDGt&~AtreJ(cX;Gw))|I#@;4l z<PUlPQeS70m`IO}#lYI&0prnh0}wob!4pl4++rXL;&3Lnoiqh;4kI_x)^TL8Ucxzm zC+V2d!h4)#eG+knUElHn>d^4X6`)qiNABuR`BJxMT@w09aWerdJlzZ|Wr0a+7Tb_C zATMhkug?qp;bv9dQgIDnNd_76jg#K_l1Xo@WO^GuYUfz@I5r??mWQn+XLe&+=p#sP zrniaW4cDF0%S(t#BPqZ)w|?kG7FI=Z{91sg?vLgH3WvwmV503?d<+7F7&K6SSFl_X zQlXbDWry1i=#HeKgOvDl?u3B=)6fe;v_v^BmZRR=@S(`#!OF|h;bHNdhSU^@ooNfQ zK10mk?yKh+JW51O6<q#c!y3;37%7n(98~e-DVv;FAWcVv*&k>PEg!b&BXK~*5<`p> z7d@KZu>cx8=cRd9?z%iC#Ull6U2Q!HmxJ+kNG3X|V*M=)$Xb7QEf%~jJ<p4U1<CUR zf|c<@A|^nLbPjy_2ZwF8zuaE1y`lpaEE`qCj>ZgF){_DqdtGFUbkPp(E+SM%KEf$h z9Q5PLewrCA4eq}V9fajy)SFvo#bAm=cZ4Tsl<6y9#tabFvJ_+#m_^rgEX|frLqsGG zO>@|fAj>F2(?Pp$io`$v83Ts?>#z{)JTVgNZ1Ho2Y=#s^8ZmBYziH6%>J(~f1}0A{ zapvVyS7C;?1X~R8U7A0mD8vs$k_*+J-e0gd7t@y=18Tth$)hz=&n*Ey>UD;7bH~=Q zzZPHcke?z66KpBT2@N~k`IK>i)$pZ#)z^>L!Y*1{D89;8l@fiZ0bri@KEzSu?c>t{ zWf9S4#A-Hu!KXrhn;uUuXzbD<H>yG;>uwyb_ve2*P|wfTrpSX9b;XUfc34K5gznfg zVRgme*0P3?P$RWi&@9SUyxn*h<?u$4uPF8I1Kc*DM=!2PDJt8$KBd#0mH4i(r8%wZ zS=E8pbeRa{{8<c9!YTBlePdKX-{9-ltV7d!+sO`@7ICU1b=x1F9Vk&m!}klqpY<As zLycO=^tp5Ue?cNmZG|AD+B)Lc>GpB<rU$O>0w5<=kvI6Bn)(IdKxCyj)mk8LI@yaV z;xZ4Enzs9GMg5~xwo67n4i-LaNsup1p8aSF6y9>Z570_qJ{dH95a%ny{C^1S=+o~t z+gS65DSh_1mVO$K`Q3jn?)RqELyk8IjbAZ`AS=xvdi&qScQlk4ksH<o^i;qJ;i2YJ z8I0?HKdtY#J%lvlN8h}y=w|aq<0II=J&g^97)y^AMfKT~fq4}S(TkrSnCg{A+Sz)f z%sh!sI=99I)1AwuUi^IqNiU3e#3Na55E35v7;^buLE96Gg%>+Lsz`eK_P_U=;LlJs z3)5lL$q(+mq;?y3N$rYY`QL<QDnv-|>FqCE?pK4rXXEM5tR^oz^Ij!ueOBzRc+K;C z*Zy>all3F^#yDZZK6$Kv`H%2=^(^E@<}qiI`)>LrZ^J(y9zL>Wvx>bS^O~>kERa*T zHeVE4%V!m((gb;2KF25R%vS?;NvTlua%0e9i!g7>%Afbp9Y(9EAPn6T%$UkAc0wux z61UX(B^Yovt$xQVW04!ZA<doZw$gJX?K%P%uK3a-eN&hO^yGH-+Ue#(#(E6q&r7O= zw~<1Setmw~Z|sKt=M1^>KH6LLLZa+szQ<{IE1ablNzeJFOd4dzf5>eAf)-Yc`m1iJ z;Pyj05$Bn1JxVd>d$eF~W>D#PW+V9Oviqu9p<{Q4bfmwL^i80`)V`X_=M`T2cKrrL zoulJ-lN-E?tZIKhx<@C{=S)3OnECK2s62M-#Z%>7^&Y2JA2W)*bT0YKjFzD1H8DhH zhrRaB#US;?-$gB(!|F!S2lG%;)YV`cRRgM##dPbu_aV(A$#9!zU`~sGLWWGqF1=@r z-&W4=wUrlP>)3r|*6wFj9^Kw5d*x&YMl`7XiQH!%_vQzQnAHAnx@*$BL{-(59+AmM zy$ud#52;`12z;1CziHg?wijyDCA~awmjolt*Jts&SfpQQy6bi(HAGxAxiyi~P|f@6 zT)#B$qM6#<YJ#klnoq#GXQg-KOKfDYSm0GE9}?RmX9>VOk=Cf8%!Kq)&izua(l~ep z7&t>wed-voFx%RcMmfH*sH{3(p4{(C!V$B+D<ulat{TH~7?Uq%0j+1{&Wg%tf*0{| z{q=sQ6Y5r-@YBo<5S^NAzQy#GT~3NUzI(da`P<3lpA>T_;<uO&PacC`fqzWk%@e38 z-HqZcnb;PUiMq@1&NS=WEH_qoCQ%SYfD2B%OsP9Pd`OFwWk_e|2kglFEs7Z*VQ_!3 zHb5;3Aylz-KdAF2a_ZUlDy<(La3&r7a^j=4<X(oJL@W&bAliQx67Uf~hg?8R(IF(M z!^fSdDK8vQ?9fzdAAD<s8uWGBaT}+N3~mBjj3=+sWta&m`<k1egC<6(-sFsus`K3{ z_KZ)$bwvA<1(hpxypF*)!A=-=b3{mrFo{vq^0sYD<?YVXMrt=fZ^~fP6``OpNvaoN z)~{UC(&$-*pxoK9K}Q2b*UjPq3J$8C1T5TWytmwDtc1c@TwJ5vxS!OXj&#VVyLPQ+ zuL9i@hlQUy*2lkpdvW;9*OL!xQhVwBnga`D-^t3NrZ|r*Ba_ore#g7qRJEKZK!>(_ z9Jn?)He>?_rH1SOz{g#gclg2X<@-vwi%NW4v$h66@`hCQdaxe-5%sK->?HLHAebe1 zBCVHIT05brtfcm;w3hNOw-2{g*Td>#R9vT^>vUb^qaP>QI7In0foojfet*9OJN(iP zZrJI*NQDHI8e}t*l~_S4T?oz#656<&rokqRIF{zlhNIpse?jk+V`-(Ac8`tKxq`Ci zHWsFS>5aek=Buzdn~7P9*T}UyF(=d>C*~yuyJCSOjs_`9na<1)n4Ko!(VMkWcgu^* zct?^O15Y#S`d@nA9pV;m3_Mt`m8pD5%H;bu((&641gYr#K`2(f9805N7o|>kUPe`S zRa%HG?JPSNt>XixA#=$<wS~sKG)H!E9om>p0h9w<s^NJlC`U@zvfNDdWwuH|R#Hdc zoP6Q4xwD1mk_U+H`S#d!K7Npf`-vH0Y7jd};h@MgLAVO$?>A_9B?NXcIj0S=>mwr4 zPH+f97SxExRI(sl<_MvB)6{S@evVXW@pHf&L%d7l7Z6Z2fU^%WgOybwgwcnaKrcq2 zucZm}iX)Unn4%40uJa>|QY>Rh8H8MFL?((JMGR&lE?!5<K0{&}mS$<1M2SHtd_FCb zfST9G5V^aIa<2f%Zjz(XZ=%mbV<;`OCmQC;x%>Iyw>`Hg>-qxY<fVtS`xWS;(JWo9 zGoH8ivrrD!Xoqj#R9`a3B`MH*r1OQ%g{cTFfl`fK7NjhC(=bNv!ImCU)(d+}L;LV> zf;Nuc>!K9T<8FcXb2r~e<3Z0;EPUK33~Nf`poW66*f<q_<8zOsN>U*P=AMPb*LD4K ziUHrYV*Mph4wNkUDEcfL8D#0W8$o(Y3k^?9SIom38BO56q&5frK+NXRsPueP9MUpE zkH`ak^SHD@?68m(^$l?DQZe=&x!);0jCOE4^TfT6dwZY2O^e7x<StGbyv~0}k~abM z0@p*-XAKM=Qz}BVP%#^P6Uh>$m%^Bm<atSdKn@dF_=W@KO?Tr5^6&w7gSVjMiPa|{ zcdMb3slO_J<5#b$T;pS;k;yeiqg+$0)OPE|w+(g94Bv7Mu86B2XTj6<)RL{0kbAC^ z8Qyxhux&rR_g$Rfms>Ydf56P*(e*IIXhP7ok4dN{35pu|_EXcV1U<q@=}Lo7?d~!o z8#@_&+Nk1|3=KHQ>aKZxe)*hgAnWt@D(VNmReu}OE?L|@Sz7J!HnvYv8~x&!F`y?E zFcQ%7HW;E`%?zo@D#!UAg`9mf$pYh6%NJRtrA&7gK`)&gpf&UB%%L_Pp1P+I3x70f zJKhG7gVrt5@5tP3@0;&*Q7=BCQ&Rw60s+t%eTV~hJA%#tEUZvwu9JIV)|<uQ=42t) zS<^xak{3Rd9VyF+g|8LwCcs7Kr0BvapL>R(r#{P`lr&p^GD0!0gCV*rFvB7kgw)HQ z*_X!(qCb4CdA63!oE$wQ_>aOdq%6d_iXz$~!f1(Vde$aBUcKVrARJM}0OXH<L&$Cp zBu4uSp&S$fA2WUSpGu^K6Av@7^vkZ=zIHq#)f50d03X3+Ii--{;)u)=M(l;X98)@^ zkuLhs;(w^B-~ljQpE~~Ft5UT9i8~=k3F<HME_10DEZ6xBU9R;>RT&QB2jWIAZi2h< z$xj+-9KO<WhyZy}VpKshV{?sISGkAc(<@It(cgD#P4k|A@(}rNay54m$2+6{(%|<j z6X}c-3e6t9Xuw&n&|dgUN6z>a2)5J+j^qcba0wGk-2@gHZeI^vH67@RFM3`bnH-4R zXk$p1A*a`G5Qr(~%uC>_dFQRkGfjHxofZMS`xO-PmoUT-_q@DxfE8H@aVP|LE#N5D zN^9!R&s%%UCaiOo5KH)7vJN@Rj5P0)Zp*W?!lDQ6=%rmv?@urOnws&@ymys&8XFyZ zg)v=%9|$~-3OjamNbVcBVc<gl#>&?q{W;{OrQCR9->K2He~LDGQxN6AAwKcw6A#ej z%F_ar{itP|kPPtanTuWG#lB6qNJA=YtUq}a%ddU|e=z#7q!07B1Q>POUj*V4*UxT3 ziTmRf=l}9eD};;Ya~*}j0tXq8tOoV*;$yhuJ@BNMjGE7Hv=-O(e)Lr`3PTbv_g(g! z)ufKLe#*zf!P$$XrTxKQfVb1TLHjPEr(mkKF7J!VWR=F#Wk$3^v_B8Z0aM0nVhwEN zUYk%8qgpFy=)Q;E3VnWEsvbR{zn9)5RwTvysf1!)8AAj^Y8vUthPmCuc=+`9Jr5!W zB6ZVx%=(nyDHK6Ov|oc3G!+~wi&GPoUn{1)<I#Yw?w?XCk{ez2h!i)<iv_<fFe5NY zcV2<cfij7i+@jQFQH`*qq)%nCKFG3b_h(s~KuMir%{U{Hh#)h>yNxy%qK%`RKBnIy zZ8!3i!!*9U2BN5O&y}l5^S`1DbUc+iUf`#cUUaZ}I0%IWef)B5=dBteSrTyO&C>B8 zh-!DxR`N1Dh^Z1wZ0LQfzxc<JsMa#@;}(Xt>Ef?*W@mCHr3WZ5u^GZHcyOAaLWNkO zeI=HaZ}CFUGW{+RHQA_GHtqR$35lwR@;MuL3x23`g|_|%uJ@gTB#D*<AVHx<C<AhU zsaU==u{@8S>5(LBUN@&;QIV<0d>|33rMR9fUqU6^;F_`9OEiOjP~)*iLq5r)e_lr( z`==3#@aFW9g+%HQJMb(kg!;#A`y#pJ+WUdN687~}DKnh3aP)3FgI~`v9N_+kaIWh5 zvzr7-kUU61_@KxRZx&exKe+hjME*HYXI)d1n&{5fcPc74ADKRjgTR52tEzFDo8a|l zn7P7|rW3p3Zxv_y6g)3BEq3d0D?Fp&TI;LmFHlrIA+68?y5b8^!7qi}kCSo1H{ugj zjWjpmfa3^1YWY5t!_#}GN|@dX%G-k6@UznfH+*(SbjB?0w6YgRQU>Y5%4JYJ-dNa& zLjW}T{&D$$5x)<~MB)ts-m9W;V-%r@({&`?$e8V*%%?6=V~Ytufnxp?2CqbS4DP*T zCe15Rs#AB(yY=BR7~t-I{lJ$sTDzX$sCstp|Btk+kBUa7QdO_tF-NIPzkR=Z26+D6 zW^rJRo}Ua>^v<)fL!t<n|AY_*T>L7K`GoXYwRE>H9NtzRmF<}aSJC)>k_dXEkYJ{7 z<Msk`JUOa$k?Kecnab?oH@vXTp-5(eNeZ>amF{Ol{76#)P=l-~^N5?SBj0_A#`<%i z2<*L!t+&F!=4%aR#K2<i0#9A1>md6v@W|y49dwZSacOZ6N#G`168aBRqc3f-g~tCL zXJCQj1FVGUz;F`c*ImT7A5Z00vJDT>Bze3t*?wq|tqW0%_dE<civ`d`g1f|Eagffp z+mtj8R^Ao&&m30dR&dDum<0d_bk1v-61z_Q{oaZ?vhy&Fp_)({qGC~`*Ry!JD-K3g z8Q$-kB<XYwyUV5_(jTOs<OTPM^mKjKUxSg<M-~*QNwF~f2iz1Iagnb)X-q}TB^h#u z1!Brju$rgUmUwm5VaXZK(|-|dK(v$WNE#=1GC!R7TIgB`=zfHcX8N>0>D0!uX$EER z6K(>_;e+Oj&v!X!J|k-Wtta1T+;rqbJ-4_6>qOcCKL)BS-7??!bdp<*B;r42s%Bj< z9>$}{h9r+x#NgR2-)cUvpQ*T!^yrSd=gyb*Dmzstw&#!ciRQ}<TD8=(NvuE>4knCK zB9@|;ANtknE!<UjTm<Nrku~Fey-~P4kM894#(jGp3f(nB1vhpO3tWt%$e{-R2sC8u zQ}{s6$%v)JnICeWAE>?O#=YM$l=#!X(H8U6(9D2qZGb{lv2{msCm+$1frS}L@3yC= zP~_yJ<MP|0oi-6fX{*4xcY+1dwU2<azT1sVX`FrO%I5sjt>-CWyhIY+Q4(2`pjICG zcX6NYVv_8!crk4Zek_SyW%fm-%%|UH0aPqNAMN<%cjB@28-f{9G&d)RBo(8HBeXNw zGo=lrzjPZ(vWaC9MP+_ta-khOp*1@C7pRFg)B0EJ%QpUIglRn8@<*uxR#D$`AUn3u zZ=o9B_V`o?qTm=k+1+?x6F0(jyLf6K5?wq{yhlUX(QR*<AM)#J6vAjN9w;bi#{oec z3+UL=Ev_sL$``}=&pvJIKYq8k{S<CGDUtqi7p;pSev})xX}+^3`rbyF$2_f0fENl` zbV?Kaq&f0_<_>&Odv@c{JO2@OynQg`W6CZoewPb5!1)FZr!^U)E*cL9Yv4rKfdF5o z$;Rt<lwxynVbW4%u)-C=tn7KI+k6M<_Q-T?evtH1->dq(zFvl}-%T)Zb>h^;fT*ho z_Y!dK44CHdtBP(6Iu_ey7B^UfgdA7_?LVCBW(Xsn6MdEAxWrMPw~krL3BS=}0UH;{ zd=%cvHP=fEy-YU0Ab|1`q@f{#c_R$o>n;Q0dpw-9W6%20qX6vQI5d^Ky2dfUjhuS7 zltQ8OuElLhOXYks>EvIHe7^K^{Gjh-2wQ3~g+n8K@`)6)X^(<HhzW)0lLA^%zBLTE z`PM=E&3PG@zx{;`5(7)x<O>R)SfGGD8TuOBKOS-ilNvUi{o>c@hsNJUa>@x%#JC_z zK@Vh0p$+WZrxeD7-rPMz2;!)ET(EHQDAm(DN%nw=l(?EyOtN7{PXz)|-#%4JBU|e6 zveCJs_{R!gSgsj$v*6BjFHuE#8u5~O-5eoE2@yB4?$C2yfPN|WvEo){{f@a@rlIvc z|HfAf;ciy8wEX=gt7q!dAqt0#Q-2@lbELn)fmLja)%(we!eb4gn*kwji)oGA-dQ3o z_b1CJWPRitT#I_7)z7503VA?ALoIr_VyC2y#{+)Ns*8!*YXDA|J;dTA?Z+F^tR@T_ zeycw(P5fo(opX*dDZC|;v-W8(`os1~xGR6pOY6&EyQa20F_&PAM#xg-3su_-Di?i$ z*0i%+Q0ungMvJ-eUU&PJrFSf7!Vw!Cvsq}Ux!y*M2ul+M*GcnYkD=yPAruj$Kf{3z zT!~UC*S107TkA`_XO*-6emYxlQtv_k2o0Wm0CFt+X=z<H^Qvb0!p+<#e=p2;3!Sv) z#tJ!DF|nP=rYuIyi(z1~2cLbkO6Q|dUogHLbk?MkS6+S}tr$}lc+LXvRW&j#X%*np z?t<_`$y~SN(+`!iG0=aA{2$I0U-Q%#k~^-`RjxHEQ5yBEz;L05CH-+<W_71|?`+aH zcflzg6n-{QTmIQH5dF(j(CBc%C^-gXMvpV!8@4q0Xl$@>SqXRYhk-FxKK88rfC7@p znEkE&R?<6Uaw}5Sn98ALpA%uUqK84?@X9nu2UJs>JajxknBz6xH-6l1M_Wt7#zPfF zv_$M&l~2Aq%ExS8!|LAA&4VUrQl(kBIO+voFQ9hRG>Rf~B`ga?(ckZ=o;#g&Nk=(0 z|H-06n}9&TN2zDH$j@ErxS`t3h!~RXyGwo&mtA?QMavfQOjQK1fcXg9lCZGaVHl{F z_yE%4sq&rsK+?{&vowvnrK5X4^QYS%*?3s##+N~df|jhTPRToEuY|rPoM(q(k>?5H zD1<Ctm?)N85|GyN{1aPgT2U$eE5YfaWLEI*PQp0}Ir8<$+mV~;U#Na0mNg4}&j3Yt z%RXJGZjU&^E!ED7qSenh?c7PadpqyR3#j9z>f6S<y6@{k`F2@n#Y?Eml{w8;Q-*G4 zWOdT%9<%ogIiOx=r#}a-;Tx%uMoFIjNoh+D$KLlRYU*pB?xx*#M!6C|q2O&M=`m=5 z+PF3930mp~C-PJ#-H&72HA&=`tP@68$k+Ez4p+0Wu)lDW=bD1Ch7Q+u(SpoLFQ`L8 z@1ZhJS<f8x8AYuVte*H1X*l#GWwnEE;;aY4{TMO^oF_Ds1=nIdkk;YQKCM+MoOWkN zUC-7!7FX$=W3!PBai=#Q=6BtDwX&X#bf^&>`^`pvZ^HEGU}4?#y^2lV7b<m?DO?E( zrsMjWM)9Vlo>xz^S{1PtEXa63rBy~Rq~t5&*ceT%l&mqUiXV4OPgYcQeH@qN5*5(^ z;;%zqv$su&ayF||<d3SQ+t-Os7b0=4EdCr<E@fspNj(jfc^N`zucO}$mws@=*h=i! z?uE2B&V&fE%&3y<x|8ie)x0rEq@cpO^h+*}9yUgC8dgV0Z+X=}ap}{8UIve^WLWIj zUA11=Dep|9aTvK+5K++WC}*TbR+=X3Tz~$lu(g#xRwMeG<*jt{Q+yKl9*W=7&@ar= zF(%`(K0L5;vtIgpw{7sl1x5n9D4zx>Gd`dk)CJ{vQmcafS!kl6s}%6<9@U{jRPrEF z|6ZB(Cg)y9^f?I7seum|ooB>KlZ-+^P#X)Hj4~A*<zh3C+*jr3QN%}LlXW+RkvQK~ zEa3WwLbL`ePWX92MX}xsncv4L&++dTmOz+GL35#B%|xr;*m{eV<ac~lyn$Qv>Y2vE zSB^9xi}!eu8)1HDB~gwQt;7m5(Y_XJv^{lB70NmToy>Z_F7;UIi3=6c0K{nA=-_A; z)exU_cgmzoPr-pxqHFi^eV;DpT0Og4q=UH0>RtxCDe#w;L;jNdGpp$=4NB<sT%pf7 zBjd<V9~<+ru)z__O3fr>%`w=CW*70=$^iMJ{FCj_a-E{<)&3DI*u3#m6^(SD=z+Ac z;H)!eRcqXjd<{y{!^Jr}JusJrVP7F%1eSFCvEG8z5vA8$yYCi=IZ7KzlYQ6W_Hkzx zoZ_IL-HYM#!1SKTJy2uQUeH&Dg_qJ0eM>d9K%um9fw$7<lI$gM8RU`T$aowMlU(vT zzp~!kJ{`y}LG|vXhuprDD0HxV4y14|#@S5RkkFd=*Cjvt`n-G)+b=>UJra}sHn((n z_32HbH?ia>%?n|@WxL;$i>c9<AU^gN5jKL6gxtfzt~v8fTP2Atoxm_egAdhI;OIm9 zFkNI55GJUQtuSFSCn?9FIB4^$tVG6%8*-BKMWx>nrg~0h>qw}utE$>gVdd;ApkRmG zkbU}!ws-8<Z*Ys{-ICGErH^y6%%W5pVEG<1{CCOVn+ieCL6J26Jmpa{?dvmEu=Qyc zE4h6)gHrlF#muW;twEJrfA_D7V`KvsHe!eY&eId`r9@v<SiYG4gM~d`Ez@$~K;6Et zI&)1?t#E$y5cG|5&D+ZUq-7Bf;|zM#u`oC9L4U-Zl~ND2cqja8*3d@RT8jaDpwLLu z{9W(%aBx9ga53YvvOQdb%>EKX6ZlQor$BTOy_1G^&rCH_>^^!<^YJ||(n!7DAe_3N zA3PvmhU8;*ASZ<EWhPO)qUbgr+{cXWsr8d;elS8h>l6EEi_EERj&skyF?YH8*Cx+D z%L`|H_>AV5oHy&EY^&wBBzbCZ#AuuXagl$)fPp^zQT*?U%U>I?cYX#PbEqcbOHLRH z0M`}I-KWx|b@N}o0w8JezMNdL>wOP=C>1g_W;ii1Rdp~Rz%(u=)8x7Hk`(AsyPxX) z3|boM`p|89_75b_1SH5$<3q8V3@BVQ1HBTbdRJ%IwO2sStL9OUex?4FrwGG!_klYG zNh>?W)}KhGNFzron#vgeqw#-`Q~6UjcNH~o&v@aE^WUaw1D6Vl00-L2`mV478~in; zNdved=eaR>q$@Htk8<^(JBQYr9pYfh`sDM`>6nJAcy!pRY#O!x(olPs4feOkGtgbZ zwZ&um@Y`Dk76-&U7Y0xBTSnbx>r$TIA|#<l9nke6>9GT45z8HSEZ?i2yOS}leWgvm z8L%22XZp=2I84rAVRX7L`S=t_gVb^VbP-(J$v5WN0x{pQyGat@l%UsnkKw)>l6QIr z8|yYdWOBwJRq&0J$kced!M?Xf&bE>-?q4frnnd**NZr87U-!P$ln2f~x>r01^P-n* zZNj}ISMh+CU`sXtLM`(2S?LFJ*q)0?V2B=7E!Fg?wdm=IOcr-}nrlu1r_!Qjcp?Aq z8Y+^KYdWjP8@WT=zIZ<I7Cf=4jp%i0t{1`(Dbl@gKv}^YD3fgb>a&)~dixZ*Ncxyg znq;Fcb+M)>F4j|EhsDvA;Ws_MesVvN^&bWY4gBs^gFYj%eB|{p@SHYl%;(yk^!J`A zlc@t}77dqch9gQjDc#kf{Oo%H3io;uJ&I&Qm$bL9`_>;j5I3Y3<lnd?s1#%L8MY9W zxHl_Oyh$rM5YzgMet>i6F)d+h{Y~fJ^59||U^IFW4dxt1!+h%xXm4~*(l7^g50Blc zViY%t%Q{~-+(O4h{dv$mDC%o_FVbNb^<BUi3sZ@X;DKD_JPFdi)I9vQ-1k!gF7Luq zN%IQOWT(ef{AaWKqTdc~V;)6x5V@VE9Qom+p4@*(qc*wDSF<-4(95d_BfT*-ADJRw z4rzFII2F6zK8SGQEFXe(pBNaP&ko{E{YlFb1~UGw25!#3^YuqtlP!+gKFe!31NX6q zZk7^}5KDr6roNL*PA1yxEaG>gHZ@#D>+mf$9t=hM)1z>)Wt4hy`T8Z9UV^08x*m_q z&zauounDirL)2V%@TM!hPm)K<{_vdgAXnCGfcfJXJY@zFTWk4V>twTs+?V|J6Iq>d z)Z$Ij=C`-?{CgB4NEVV(!T0W^{}dijwn`I&!Uu<xwN1KN2r5S=lP4QVTP)y|Jd%Y` z_bQi3p$n!)!;?WwX8QL--WObb%}M#2WL_@uffm1afMYQ@#ZE3<S;mKw4K(^SSGAI$ z(bc<E{l{QjVrxx5)9Jl+(O0-?8t{AKFeGPE>twC>`R2H`a>gkqc}GRTg*kWiEa+L0 z28PI!?uG-$$(0#w=!%mWl22Hy>cdDSJ0$tVC+SGRr%yeV<FYC3cJ{7M{kna{kRihA zmi|T0=@{r~8K$@UqvIKwH+f;*lkVbK$bW<~-}XKej`Z*8w!G2J*Di-SB;`KjbxNc> z#KMF!yIs=i+v*kkVcx)_SQ7Lkqw95>^ppM1G`Q{RNOt_5f(BUorwn4mKn=AVEkow_ zJ3>bLBn;B{b_)Vo1a6-JF*P<1bcG{&JMYoYuBk?E8AnGS*!N$KQ&m<-e&FWe%!>4* z`nMKXIOBsBvhv|v&Aieo;3!{W?Vr|hNnN?1?ed)yeLu7bvg@=MUgXjjBENXjp>R~Q zp<DVylF^IhVX@Z-I*3~W>N7LXKA(9QP$Sqa7-TLzt?R<b3fl?MbKdA3E&hl$it#6- z#Y+4FRW=5wHpK-+WU6Ra)Ny$K4&?^v7~`ef*{>J5EWQkCe3ECL%&M#72kTgH@`W^r zn^f8A2GGD&UZYC%g<$g8boaHc<Do4-nxrIjF-Go2r(plqinH!iQ8iJ}j(lUp*C!+o zA914)K)9c#73K0EKWW%JX2zCk)Dip)ma?`j)PJ7qJV=0wBEH+{Ccl1vBK4BPAliZ2 z_{W#Vh}li<f<|XbqvUAd?7$Bg<DWsC&BIW=$koPS%SUK}rBSFss`H%D8<HKG_%cyi z2c9Yqj^onij<dOEs7MD8Aqn7?BMwY>!ZapVLIiKUbX(=Tix{Uv6DQ4HU13rTHC-t^ zrvOYYK2o+Xs|)ndXwLL*Ia}mZxaKpu#p=fKf8xh_B2KrJzduh*OTJ|T^}7xV(=9|> z)4&$btbH<bNwYR~&ez{%6)0R;c0ot;1<-I>XcWC=@GSyMh*G>V+0-w5GhG-89^g*9 z(vV;f^>+m*VTMe>hwD$vRTIT#0%$?dVxrZ3H;(z|!ke?y6Q?6j?^lh;Rq#2b7#5IU zUT$Duma()GK6#hY-lHH*U4H%>5^Q}r3MLG%9y(4?44BPcyE?-J{?=tsg_-=G)e8DE z{Q9Y)Te_&Rfw=gsuEiN{+c)iO|MYS3UjE?aYyOP^ySviO9jhN4Of_!^EvN!BsSm;n zt3Yu5ys}$NvlVj6*Z8~$VL9E;$8|V*XtDiQpX50(!4EFiK+Lcz{V=tKnoA)Ex#;hG zIR%FhXfm)0M|6EVyAT1zL<HG0U>NTQ>Hbx6v0e%Ah&O-m&xH8@7+YGIjOB34TPa-j z+DKP!TFY*rmN^WV;H+r`rE-cSS6wxZP9<jE)X%XhqFYzxk_CgBWFzI@|I+|A5;axV z_Uai#D-gb2Qq;Jo@zO(@^w8_=+3sf<;%TYcMWUxIUT(Q9*URqt8!c%UsKHvkDZ!E` zJVVb(aw%3Y!btP8X3A4_C&4@{yI})U8_{KQH>GU`Z~mdQ^4JB+jwl(ex*LHzHkDrP zw`_mUsXkacNtkoU@-zGDF85!Y&@rvEgMQEPC;2-wlq8@y9#qR5952c-1Yg(EZOiX( zP^4N@-ztuGvA?j%qu2!Q4SJ(s=Wspb{n#T{jr*$HySze!5Eb@Iw6j5UxtKnh`K+6! z-QIS&vSZJMtzeRyI`!0-eJMdV!ETy?<dN`QL(*H32G<MK|3%x21us@Tp#ZPCGjoE< z6Qk$?W_r}rZgBL}^Ht_-x+u9F`;S4AxoTSX9>^7H4XsA|WAL&$h-XKSP~@!Z$>zM4 z6!5N+d~Iq)J(Gf{^i<FU@i)L*#Z>5Q!xv3EXcptaRNu4rDD!qSzXSczhW9B%9C5m6 zQLU^069q><X;VBz;?k=I3gF*%YkVZ)jBRd4ZogizQ?)lIlDwC2lJ^qfb?Hyncu=ri zZ`xgi9+7nC%r)gg3L-ssqv_*Dfcn`zggWK_S;OZh?S31aHm$@A>Avb<{rN*M;E9}Y z&%-QSZK6Rj-HU4O%R(A}&8U^^`y0JTBG>5<B!XOhw2E>VYt71OcrLKMck%rt2bN>; zp?`i&H>_u8+Onj|&>}10P4Xs4fq|`oT+YlbFKZX42NiRt>~BflD6rJYxr^|1-4>!7 zb8Js8_z*Ju<UJB1RS<H?>bd$B=VyozRUhy~bPYYN0D7B;ByuTQm!sOC`|WQ#f_d3x z&3vi}@$Goy(d#=za^iwcC-DOhIxL*WEM>cE^NxJfo8saRr7d~K@bQkd&8G~}dmi12 ziqmI42^*elxe%vPd+Woa$!olS<+3ljBIfll_+uG*ickxXm8-)7Gu15Nm~XzflCDdJ zTE1<nzWKy5s(0ZSWwQ0q3FfWq_1^5|V}I>8NR&qxzJk(%K#^wZ)1-TE6b<~bR_VFe zoAV734+?uU%J&qIIG(dF4DXd|M*a9D#f?IY;zOyCsc!+o{kL#__tKvmLNngtZ%Al_ zyD}!%bck)Dlesf>ZKFkWCrZ+dg)Xw@X@@x2y>ohlbUZzcoO;@x2RFy|=IGF7T@W4o zbLC^nvV`u#E;|{QcTMfOT&!M38RdN5)&8Hv!ez!UFd{}Z(gu{-A;n@kOmHvXxh8rv ze)Z!Y8lvv!Q&DI#w2_?6Yp_~~ZT7_U6pyceQDIwHLJ?FNYnrmJ-)kY)uhFlf@arGS z7W!uY1k(^vJ0vjAhru&MqVWpPDyPp?>p$+@gf4>~)@LvFl-t}}%0KEEB{eBo-yh&l zHA%|}sOATecxac*=1mQ9VDnz%^R%a1`}xN}hnD3ZV7|FNh8PgHWJWKIU&>hEl>}1| zV|pw(Z4G3D<Lk5<Wb%3q5Pj76FCjs{RcyFuH+QSD{UoFb(a2vRiG~ZOIA`O)FT^|! zgJ)CS8$llWenW(`sVhlWAaoJ3rGM3^2FB#_`=Eyzfi}t~iB}L8XkfGE3cCPG(%#Ww zvdc*q;eK!k*|xmD1?&<T_Mt>I(@}ju7basiZ(>$fZn*k8Jv@TP^WG_y)Uyi|^ZaB+ z4_V>t(^^w8{oADD)G#&4M4@ZpJ?D$sr54k4LyNL1wci$|_L{GFrBFnwBLrSmXmRw5 z{xi$?>lx%P4?Z#uVBqf9EBru_pM&c`m>NP<v5U7Fc|X20wS!zHMwY6e0B{(TUpb{= z>cgb7$A3Ti5)B^x@oVMKHKfC!$ou?NCN@3GwO+QgSbrvRK~>ayNvV<E(=I$dUlKZY z<p|_bg8d41P>qYb_EEFx%&R2mFRt}VW%HUOiohkxt^stHguuQ<xQ6(<LAwZdbLv!D z{Hq&Fe~=EBe~&H4{(V}yck@J!#_urZ<+Qt7o-nEZ=mtV``V$fdy_t<r7po?X4<QLr z+jRw{TEO!x;u&jovQExHR!>PLbqx%1HFhybBTW%R>bqdU+l4elD3JC*_2mK*Zz7Un z)VW1ki*33%P<O2Tg*82^LneSp6h;OyfQ2d2;tr#Zm!ck<@O{;Z@x_i7<`E1+)O3<G z<{{x?n6=76bS;7@u`oFD1+73UTB80_ZZWo1d6B^W?m!#F#a1OHR&XiC-wiz~TY16s zT{_!EX7nqmlc#F!r0O5X(#CEcLlJI0Md4d&?-0a4iF86YZD{cEBB3m2qJf}Ka;2-( z=|R`i%Ef6|RW7JAz*e3!^SNoBpt8&-`3-1u?V|WdynG*JdMv-FT=xSS6a3j2e`Yep zGZS)p?{ssbik#Z6edm3&$!u3tDCtzLG8yNSMuQvuI8=9G_l}3;u6`f7lW%c6?8$Up zJQl{J=iq=#%{uZH3diL#9U=V6QZp&v8Ur43=U`w(E-j(emqG+456<ntam|grh+7B5 zdr!Xq!%XW|6@)g-A|>hzzlqO^RFw#5)CuK1&+#Xkz(*3@ZE`K+sU0qKeR=jOi^h5x zWh^n6FWeY|Ph^y_xKd`7^kBq)-RxV>1|1-E686cfTd?`MGLP!fZGKsLmIS7+JIgW1 zff$x8{^n$}F!6Rq1mc#)E;W*fACrdDNolWSE%hOxvasNlbNH2{D2};qh1!yl;RZj| zAPX;E5T*;0sE@9*WsP<}nT1V1ut_|RZ(cjS$7#J-eywlbficPdQ#Xr4*R>ocrD6*$ zX?hGm^cZ6S8>cutRCD&AK;eGMd8N&a%OKO)JJVBt%(G5E1BpYvMWSFZFNy)QgBXZ- z_yn3r)HiOUOEV2d+^1!l%ZPB6cMgsQ3Ui$^9C}Tc<7>lQ5rAYuP(dRc9)CMs=_jG= z8=WM;Xfsr1%uaX=G9fHsmG0e4rBT`C2emPvnN!q|Trck~3aXfs)hg&KM3U=&nx92f z=7<hOANuBoT0Z|mqC|wK8s)`6U}Hd!98vIhZkO@pU;d_LRx<~EHoBfd{nLdS<M}m6 zwS69eAmBr3kVMq_b)ECRy<s3~w9TImm$qe%#Et1zXEqIniFWv_7*d2)Xg8cDk_1I9 zG(e^U4RLWkyzzD2`WMOjvm%Iw`2^a`4W;WgY;l|_>P0=5mMu<PqlOOH2e)k)-ix{4 zgD)fo@&j_Ak{K3Ab5vZbpAYz+Z$UqrSzEcO?WeMzd-0{Nq@?|g@%j~iMTzKu3C|N? zX1L{xH0-6kE7B}`rOY*40S~UwAHAH|%Er`D9ZaI94sTwc=ue};KEj@V;EZ{gQTx-J z7BO&bJxx_H2dMa_`QRC#1cwB-Pc%jj`>qlhUmLv0AEeG(%}8Z@V79fazwi1SFM$W{ zMy)ZR@?OE_))=W6^twrUjmT(jqW{p0V(_+&Iw)L*oASOUQdWaL8|>$Uc}WZm8Y{ft z?UQy-KIsYRqUpK6a<OIx$`NtDf*{C0r?S@puBDn3cyNpW<)RU({Iwmor$}0evNo#J z+{<75{3`X?3DMwUTX7x>{B6Lr8qU6YN7s@9nfi}7-LL%%*`zEQqrZ0xgiX-A2M>f_ zRIvjd5;Kh-Hw<ifrbsNJz8c^ruB2XYC%*v9M>-zU&OyVxq}q-2zQUsYa($r>cYS8w zkiX3R?=`(=niM95$Sh<lhCv}dlop9Yu_hYQ5*M#VvVJii4!D`E+VBk2WMUNVfn0w| zPowYnHJ9IF#kZ`M9jV9{QR($Ka2Xq$BZRmp^<%i7$+O-e=vif4iKMX9Joyq0>F4a- zx@a)dbSA^3UGldq#g004j~y0>DL{5$S@|mT`eEb%^3^ou`)Do<@eU0dBj1({dQF%F z$d`kJaWn!Odl{|)D>QyR!W?gkTCoGo6dOB(Uroqw`wRY0k*QyQIx!J!-ghV<r$`E- zkOp{*r6CrBr@oCFIl-PX?w3Ys;7eZ?MoJ!m!n?!DsgaJ6cN`yoORs_s$rIMtB~Lj1 z8g`0&r2KV4#%DZF=sCR)lhU3v{NzLP1_O$~7BE~)CQT=rpaJG?i8Q#Or>eCCoyiYl zdyAUX8rL7>eZqj0Y8g=waDB}*<0*oiH}*JUf$}YByg685aTs%K>fX|YdWt`oxTzWs zQ6mSa0){UzVjw)_(E}yTTRYeQS?TP%6`Fc;SQmXd>+;aD$1Wt-6ZyaxkaOXGgU&OL zyC98zuhd&3b8VlQFNzs3HCmtK7`smjkHR`g_jq$!u8>#b-(Yc6n%vgDuNY`)V{}ob z8PEjjiQsZa-D%6Q=m)>Qa*nZIJ&+q;f;>$T$W+9<EC%L0doF!P{TTe$7zCt_>2pPJ zS6v3ZZJ1o8y5WGI7p{uurh0svzp8<S|EVEx!yX$>gJ+(&80A9@KH*M*s7xZA_c1oL z^z%r&yjuQy20@cbIWL2OX-*v0vx1zBw{J9~%)bk0)fOOQKUuTsym|~2APczovxJ`u z_5Uq{HZhY1Q5yB<w^w&?kId7qGqW{ctrRmB?jq`ENuTvjpX|G0fy4n1qr(``HT^+! z6QV#2aAKXukTbyr#F;bI=7=0IVAkT}wO0IQy!H~=Y5obpP1hqsP0W;rZ}v6o7zBN| z{5h-Ty;}p6Qxbf|$e%O4@bi7zYtADy?2p(yH-!>K&_|LZFQYTh0cXY<!*Mdk@a~5h zy%UUWt23ED5<-y!cS~i673`%>U;tuB@5BL43@c10ZCV$2opO3_`@2O(g=x?OzlLoM z`|aT4h|E@6zfRWWC5rug3i1apFeMw(=*v6kfy;vjK?W1{;5<vKP!tM!@Lm4_a=-u~ zy%8T7E&dk<bNEm?Bq2H)sAPM+`<z!5qWkFg8WKl4E7RPz*>(cD0`@;*f3#Ru;43Uj zXBo)3?U5}0e!_>9C<m`v&dc{IpAH2(v`AMj{}gEp;lJ^UiWDyCBL;r*mdB?<A?V;1 zO&$w8@F%EHB2wQtu^EjA#;Nq_+fTlhwV@$CzrBAD$%y1R^;QBUR~ztHJCnV=$?}}d zbHBJV(*KhVr_GE=Rd-dfV&W8%Gw&}St-15e^73Ex)8iF2V*;nRYLJz561mA2ZLJz? z&zh|IWyxa6hn9cyg5c|zCHI!94xjrs?~P17rI~yjFkiOYR+(094s2DNNS;VP9<p&b z<CV!;zzZO-9np7m`ihVLW`VQgT8dt>6@j-=3fz>Zs)sm7O2z)?cj&?bqPOdcGqZWW zT+me%!SiauWrWr2I}HaCW>(j-p(pY8s<@dJohbCrP3bvlV25&r&?jNVP8>gFH!NSY zM;SBI;BBu9NH<fKtTmkXe*B-wxeu6v21d@TUgzwvU)`4|Qi{a6(@o!y<|~vJdTl5t z&y0P)d1;AtN1eXM9t&8VX$G947&Cg@lP>SKzp@L8d(%b3Y%y@3)Q2Ku6o_a?LYDVb zc{FQ7-pw!v_tW)wkZ~56!5h}Hmq0SbtZ#7mF_qDAM^EMwFW*8D@$AvBDpqW~`Oi`x zRyr$&wdXUXkKllKSA6ulq%0--g`M~BOok=!fl?C>SzG>=BwDm(Gk_H9<*LPq!q>wr z_-ZHBakT<>&9O{&L}hqKK4Us`gn!fPF3o`Af`4}PZv45ly}g`G#B3kZlN-p*kt|q& zj<)=lU$lcG$t&$mQlwF}B||j1zznbsh5z7ky`7)RTV9w3SAq10%XKX9sYr$RtV?v| zYnI|a?(k=?*ch(e@BgB}CmVAVXX%jy&8-lGfUT2B>gcUCY6<Aq@(=ZuF8)M4D*W8z z{aQM?A&PJpJ}&R^WROzWnWM%vPv<I7;vN3YVOHcI>;Lie)d5j`&)a90U0AwPVo_R< z5|v(5KpN?iP(n&lTJ8b{NT-B^BB_{^NGwW9D=AXaASm7Jd-3!Az5m~H=A1KgPs}{? z3=T#b=3PF(dr2C&7$@{co})@(#4kO81RfM=IWy)jyO$_F4<sWsQSgbnMY;0l&2IO> z+3v^JC(jGLxdM#Rjez#>eaUM@K4$B)Wtm4ANPQ^Td@f(I(Bg}Tb?S?trN43lzduLp zOg~b1+WkZMPY>d2BORa)(q_NDl^=}3mu6+tf#fGdmt!6gz-oZ^8{;l3PmqM)NXQg2 zUclj-A(hlIkVNcAzRRTbnPK|jh2K3d{=OKFTx|7S*ycwQ3ZQ{g9&2sNBtlLq;QRtF zfGCdNgk1jU1LpvFEE-n&4S!h=q9BN|k(!;`i7htoi;=jed`riUeb;+)LailBVe1Lm z>{)nAz10f7N&jX-yPH3_66B4>ny^{+HDDk5Tq7u@6yNZ*zyE{@K$jEiNU-4FmCTo} z!r~U9tux<{=|!gq)bh)L((h2b<`i^}E>?|lOKsSN!m`kh+HJM+l){=GIJt-Mb5P=( zj)z3op4_2f(iwa^4S9{}Ww?3t;0$B!I7@oEs9s;Bp^j96uZMX}5(s^bi27>Zw4GVu zX=UdyFud0Ai+bFc96uYp?0_OD8BBPypGRRyX9Y2MhI|y(RqF`ne5n^28`Sw_q;%>l zvC5Xo;HkOcO&>#duQHvpc>pDJQ3a$(90iHXYn2$STq%tNipK}9nekx=?60KOE@TbW zOY2yoB(o6dtN?s`g=Yw6ZfkMf((W^2YW|?jJj4A#Ugq4XZsJ<=`L5od`nRm&h#m_h zSM#2t5WNvc+QS&|haKu)?Rjqb<1bsA)<;1lFYQ{%X^0VlM>2t9i1Y*~vCwA>cH{F5 z5HA*Kr6!K(s~-g*cRuczvI6N}^{5K#XK|8w0C56M=wDz*y43&93rAjjPD`#V2$I(z z4}|A<+CD3GNGp;FAw*z5381@dGU921dyHqzi<PiYh_}f0w%xn--HAKtIXs1<l^;`{ z{5-{4e3}~b-{(QT6o~dJk(VO6N$tsil|iY_ruXta$3qVRpmqa)D0tmu%jfvd-pJi! zjzWOA6tPZ^!qFZNU6+aVKPu``f+Ix%M-967|18Y+jI1|!)8kezi+JA;4`7IJpsf22 z9f^iocp<H14t>Z_lT=^f_`Bi{nvQdSzGlYwb<o`3t8_qgi;XIaCq5%M6&@-Zvtk`0 zwuHYF+J?SL>>MoCRQx}g@q<X)gXTInmNN*?W!Ke8-53lN`$j`5F!D#lG{oPI%=_Lb zsy}upfc!r>FtC>z60T}*>|yVr&b$tcM#<M2B66hjyV@#xR*O+l=k$nlc)EXUR-TRS z_qWOQb5Nz7dWy_zvpau(H0idp!_9>O>0V_N7BzbYgJ%g>zprT#<ZjeJ^yftA`-1T@ zW?OAq!aDjR`_P<7hWMuJE)S9pf3ieq^P=2^2cINYCQ|rU%Aelx!3FLWXXG(b;Cs=9 zhr^L>uH)i45wKSdaRT8mqEqCZVtqTUcZ)u`MEfFS`3BoraQ0>3IY*RG5QWe0`Yw)N zF1UQ0cJidvH*3oGWs&P1%PH<>Pwu1ACmozmP~aTDj9sNtDB9QGJLB4F^$J7xkxf*G zSY&_D8a!rsS}Xrrh{w9CKBs!t#-m&nWF8Pa!71Fv23$z7Bbjx2eLf@8@l!)z>kSYN z_2e^?{BgChyMc4<M_e0^G*s4ctE9NHt6cG<?;7uUSe2-+s_+(Ft*6$E>WKRunCY0G zu1K|}uaV~K(UJ74>G;{_XO>T*?pzYjXme3)!GO9a4=8EVjhvXU|C39YgYJzQJKVXH zt)3M%Lu`&Blgb%C!!UrHe69@bI%VC2(+HBk7aI)?fD`8)Y}g#0AKw&i`7z<srV3jx zp4rlSzH@V29gzObzL(g!-Tt!mE;B%SlAdUa^p*Pa^^fdTMOj|lH%})JzLU8R#UWae zZ>hUDBhFuG)0O{~d!dch$>jA*5%52ILHlyK3CmI7zQ1>Y<iK7JhVl`3-te<)^x25U z>vpDYx!%tWGDW;LBoWC73Qy$hX;{o`>%gx>`q5t2ANoMVblRR2@!|@>ZXkkn((7H^ zW^eiDG`HCOM1@b6(G-8FP8@3b&;H_u6(nGc*%Zt3iXK}7uuC!1?Qb8yT`e@i_B*WD zMV{H~3*@GYAxPt46bSCo@8zVv>2*=0{t($EHK$Y(uq;UNIrCH0ZFh)VZzxh_^@pGT zeS(y;Z{Z^nipel<xXpw94ckxAnr&7EGm2Mm;g>e1rIv2oGXbHo(`8TM9(N)CoMt3n zCqbvmGo_m5^h}GezvW6G`>Fyf^cTA?wI4ZTnG>Y4o+lOFCD>%lXm36)E@riI{xJ9H z$|aaufR8Y%%hBtTt5OEL4ubPI;aN4J?MGjuwK6WW5nfvOAc_O&<rAlWP!}(<>a-Cb z1kc6WFjicsrhE7x<7YD&ia-K8B=I!MO|jgxXyxI{h4TudNlTF%3RcF8E)!30wLrw= zAGMs>k9)dP$<K1rn2@nLc=BsQgRK4RlMqkJBP`I|4CX{dWZSP_@bLeFBD^rYRli-z zLY}R8dpJ<n5cUX^{Af4Bfe?Le*u>v$B7P_{rgDMpG{v7c)A|oLUwc#Gw$~oy4}TtM zFBX-3iS-(0W?*C1V^YYNUdMy$yZ?0crOZY?!xe-3jz~y7qgC5(@F168X4=H-0tcf9 z>+22^i6YG(!VIOz|NNMEL}n%AhZ0Jx2?LRf&mB1yTrv3a%UL#LDcrHiMf&{En{%MW zlGS*V_<51;;d6V5Pwl_i;Zpz}V!CZOHX;A}9re#gbmh%$Nvj2>)s^jR1Yf)8XGpB? z!-lZl&__FrYp+k$$eCO5{7)dc#kVLd>D4ZN*`utvx(kZnPo4gOsEDFvr=J(X_SLw% z+3sM{;c<Z=<v6eL-N9Qir1DFdO0%XXURON*4-I@2K<T+WebtWrE1bP<=OzGrgz=9f z$XIe_cM1gaq>tLzD=ftF0QU(d=vD7yz1^&w#GVe0=dm%Qtv|GpQgmR8#;IV#XAPQe z4!HOGsoS08*Vj)&LBxWM(ib<|-$!lG0U!B_mg#fo8jyB^+<AMIgqp5tlo3hT|Mtj} zNk3J4OSJMaxDiT)%P1<yzJK?|BT28TRyAAFp?3PmVSw$+zMTP8HK}^^hMj#g#sEg8 zyu|cM|7{phJ@5a(8bMV`ivH)Nx22jcDmfq6P`xD$<r{j(48L<N&@7B>h3Uj}SdlJ+ zeTxo!HpuUz3&`{6S#AtotY%$#e$7@XP>eKedPjEgOZw4elOPU?c^3gojD$Ye-wl)I zFK;#(nk15>z+Q~XxA!tNyP$pr!c8OL3i=Pd8SKXsA}Za^GS!jY0YQj>lo!t3shZS? zOaHw2wp1M#JDv-}j<F@gjLoK75a?qXyq)Aat4f9UtNYM=wcUmB!h-@+W~0>M8Q}&2 zAtDa^?)y{sQ{Ppa;R&<WlBNrq#CX-5-i%c;1L@o8;QskV`Q>uGF?E;qNE^nJ5p6GA zl<)aFm71<uFiTbUIGerpw_wM%u9XCYI)9F|e}uZE>hPPrLm3hWXik=LIDbN5g)3ht z##>h4X@DX2!iNr)1l<c5g;!*~W0Zmo;+9PBx2e8~@G;qvoy0Im*mQc*l$l&i7`u^o zTcLsrgYEJh{%IuIaW|4jc8PaUSbdj9UBR#4EEH$q>^W`>jxs%_OJhC&di~6Rx`KRy zIOJdHBk+#A{^CgL%vpl{rm{9@S;)hc#49Yl=TKT0LY_2Y^bL}h-zuc-swSQpi8eJG zP2D%<0^&zs^fte<FOV2peH9szefHW;syKZ&i3_j(PHXu$7Ucb>6&>5R$sdLK_U?sD zhaMrdb=PG=vNE7;8;K81;gN!yytZM|Bj~^VH{}re0}JnwZ&Sovq+wv%$#RtA-i!nW z`zmZntmQ}+fT#ZS2DIOr;};68yLSW{l)sGp_$7=YobEMqe_pz)=3Hl$oqJfKB8x%x zqHY9(z%<h`f;ejsWoa=@pPGur&g!6;HV+qSpk>_wnhHju7q&9{sJMav9rzcoiPhh` zt#R|>Y`f$Gu~{<*=A<F3H}bJ$mv;P`QsNfk17dhTzCAx;Ba-qhU2K*$VD#7Rv9IM1 z+{W>xC=8zLD-5kNDGsh2MiMeF->`B#Q*0QGK8U~Fb3w7ct}c+`ZO-=xZSma^8?-q; zr#c{&?(5c-4%;=)FYo;j`R2ho{8HOe2xXgvZ?Te>$VAPZoL#uHMv^EWWv$h#j}_i| zdB2Gt6T4yS{$!qe)x5)kdGg*30lv&WrmP!7iK{mre^=er?Tq6J$X^;KRCyoD-w4Nk z^xt7tkuuI`NgyYX<njz33(v9ZAbrB%fD4qzF2a3owXMwFMLWR&XMMc<{#?N4aLcOW zj~m3%GgO=Pe&nk$Fa76rlcq$XCR3GW`+VBkb~0Z6c!9mH7rKrEMq6y9Knk(T8Md}0 zm5D0+H(>eOHZ%pVI^PF|s?0RU+N%zn#g9Jqn?J6SIb9y~{<+p{^2NZP`CI9#(DWxZ zWBX;!0Tsta+AAxKSXEZr7szX01z^lg{)XK8UM|ha5kmbe*nRea{R_3aNXb7Xv?Nqd zsVdC)Y%?(B)TjUtudlYzuX-5z6pK*N5()a?Q1nrV@MA7P!~jyiTV{1Cm+qtwoxbOW z)?dQI6SnB-rqY}m`GW12+%4EK0rFaKjwyU0ZPjd%Zh2IzXX^SZXL`!c3wBnp0#sPY z30m^JDhZql{cvfCKAt<p+vu0dk<(Kq+|VAc-i-7m4Y#80AG7x`XAowbqTNo&L~y$W z+)3s!Jw+B~s=7TR7?-SK$`5T*_1XO7G!~*Dd@6QI^|~z=ExLV|(mrWsPIP@sBjp+= zqj|v0u%c+U1$9Qu6;S%mfH}Uk%CWvJ#tdnq^9W84M49t;iSF6h7i%tZ1!D7M+V#ik zhUw+eECr^q2%d8$Gp{c{;s!8{;mJvL{^4OoR_AqMz&bOQLkMy_i*J{Z;0GR~RM$V+ zxTX=>6M{3G9=t4=HJ-DP+7o#xnWuih4R(nq_eFdQouY9`dk9OsfPA6K1D5J<yv2H7 zuUde#)X!Nq`~r+oUF1EKSzGBEFNFEtd#%533FlA@0wlSId$>UO$KyysXErV8`^m67 zTZ(~jDG?QD19}BWrwKY$8^SacGasa-g^+ijMPd63KQNeRjrMw9kWs`Z(jJGLgbi=g zjPwT+CoDsQIoKJpqwV?EAGJMQIgL9IBDg2x_qlNqk&it3#4ED#Upp}CkB%#QJzE&Y z3fvm0q{ENtkqqG{!9+@XB<}D!^{PQ%KNZUzh`iz&IpGJ|(^3$}2R7}Zm*zxQt*7Hn zjhIR(LG$VbHuqm$y*3QqHs@|5gl0&Ixwwz;M9{A!aZu~K6<ReV?rN(PP5lsqvh5~q z3c~t%aSHu+47S;?zK0XrpV?e@m{oxj4AcdFeCIIC=_8Zzv1T`umaR%zKL_N1lRl&r z4t!x}%E4w+zuRikTb@HpO+nc&Qk|*>i17<(x@3ROc#lTn=E6tM7lziwcbFS9WoMlq zi1jS(`&oyM*cNK7Ln;UY(dh*1y{WQ?mQ%VZa~Ldw69*6cM_`nxKl1*C9py|3$V^j@ z@t~BX8RM<y>biY#Y%$YCyl5+V%A6V6s%0q`zC@w_>RK?m4MVsUTwN|MePPGdW6?QT z(o=_&_#K2ll~r$0^ovT)w4%-p-#j*}mapshgVYZZRv{yxPNJ1{2^>+saYwG#XZ6GG z#H43uJYtYE{{6Opa3~*zt90$lkzAfD<H>8xm>D{5pMIdcCSp^a>wMgE7Mwz1!7LvP zaqs=^>P<btp^CPp{#l|+uFqH4njCMz0(qWx+sWJEeB@Dwx3?SV%otSIkAk;=C$LZ) zHGLY7fEJS@zllf4&oiW(c?A~*L*)llHSViYy?f5*Ohar~tY@ZU^h+fA7fg;!W5BL5 z5_SjR!~;kYnKv$!CS;M@zg_&Gf#JJ&o;@kK*W2=urA~x<&QxO5;w@vg$SXS#`Gq3O zLWQ0)6AOZ&awl*8&ClKScle{jM#a_mwF*lQH1tNaQTQ(HU*Li3lK0u~X~={*wXi3% zb)XLDi*Gu(mT<59Ut8bHZ!2GR)aHV?-Q_i{hF6*&rga7@V>0b4-AmJ@J?zwE>veL1 zw6rA{1I<?#I1rH&kk0wiwYE$9iT}-+Ym!!_aN=`T#M}}^i!AM{L7Rk_V`fEsjhv&R zgP%OJX{ubs-r{-2?;2x2jls<ePO&@*&+_}?k9_m)u%Pl}elCtRD6jm%-ny7c_eb_k z_H&IWjWZxqvddjydUU&yHR;aGL&oL|e&wGZ`-9E*`HLW8H*%7xW#L^!U;MG#f1Px{ zY5Rb|4M;Ra?fIPPxcouK**RPC&C9_H7gmyZuIIu#!eiHBo9QJv#P08VCauh*_#^GB zifYRHAHr(P;e7-XE=GdJ#vBfbZtol*MjN&i@rB5@k!d$`6wQ5ax8Awdstq%(*eot- zA_Abld($TE@0-|;e)o_rIjVpkr#bJWDqI`H$i8ebDj&HQo8$J-;{CUGPT``gM?ZcK zt_`r9ku#yN6$YnmEHU_$W8qWzxkrn*F;NW8Fvj7K&Ryg~YlKKw6?dkBz~uTy$`T5Z zN1^Lg6Vt#82LDY^xbPRz1o<`@%D#ty?A#H7<}%H9?NME)UM;@NBwO0j=(pFiE_!j9 z??68JH3F4~?C*lN*5<Pq!n^j%V|*P72y}TCXN-f<V4<3zBc}*x73$os;1o2|@4DaQ zA$cUIivu;`Crbeb)c%&u?9HDqa0rw&U3o6XE43QxT={Z;=1ae;dqlo*2&88%Sf!L( zH+FoKn3RLW^G>q;Ck=kt*gcUgOcXtOnkK&T;^jE&kLS9UUEC!tu?W-$@A&+R6dvp1 zzZ6g96NzQg#Q4y4C)C|H@S!L91f0*kZ()}kXMQO+gtJlg*FBf}sV=zqO5>m2R}Yo- z0R!tdJ@9v5FT6&B4#KCUyE62aMIdie26&oj%iYQL_-JkupA*eQtxxf?d0zcPPfbbs zg|GHqL{bJPL4elEgE;zi;3#$TOLBZAUMz+y$ptGM^~~nZGxz$;o9&75QnRwf9)B$8 z8>R-#Md_`Nh4@Y#4eL=X<={XjeA!EfDKTn)<+492l)3o@YV%8FR5c*o2ET6g44{Wu zwqKtOk+vZxJrYzIV}w=ODFCG7kk$P^?<Nf`<d-e^F-n%i)^c>YWxl1<Un@voXw)pb zaB3~Z2Hmd+4+@RSOZZ98n<JW4TJ@`+R?qiEn|j~{Sq=<A2#s~lwz@NTglJ$YwuC`o z6d0V+T_|WZ=o_6^c(e8-(WRf($CU}Ivh2kJHf_LNb$B(`f{@s$$V=%^&T`MiFW1Ug zfC}cCc~i;xSviS&Wvay~po`l>*g9TY1yJOzVo-U)*1CX?Nv*EKHS!@p*r)s>3^*vq z<iKcl2?L@Y$#n6qpWS{O?KZ#47%c{;MWtOugWGy6EPf^X_il2b4OUpb;Ll$L8_xa} zJScApIfRxam{Ybc=j^`yr6%$1^LzFs7H6-IDTYmz$$xBYp~@amZUShC>c81TjJ3C# zZ{ADQ$&0p_y`}uyGfrMg=3ZPbs=o{m6NcTt0{p3%@$dDt(F9eft#O>i!r5`O)yBA@ z$xACv+^V{CJhd@*1#yK8hg^a!nB$kj9_+_t4)kefd`4F`K+w)0?YN+MaKm*em9ik? zdI))D$xA4sj+2j;jp=_)Zt5c7yWuwDb{$4@(8Lg}kHRwvT#h#XwNiqhK);<N?$ptO z<9U1yJstjGx*^y{6>e@=l_PO%{!tA(RKMR-Sbbdp{cnrU*y$HCH`&Q2(-02E$?(7v zH%5-ZU8#iw4c2Xx?23=i4h%sZ%92p%+nxmF;hO70P@jbu$@><116vaV<6`O;(p5=^ z;)UMrd27)THH`m>tGSPFyO}QPr9Xbl^L&LPUMeeib~klj`2W(%1<5GW>x+Y+d3J2< zx{K3|SEZ%TYb;dp+<F<okHFjijiC}Wg}lj~v$i#T-zI*$NcJ0(VX}*`XA0<KM{C9- zBEFsquVFqBXaIt`bre~RKX5z=+~(}(tyWq}KClxYi4M(9=DW!U5%$DAsxO+ewoDl& zS<o0!5FU^su2wYf)T-f6M(mgF!|VA+vtZclHvcJGS_3YR{aQ97KjFrpaP_cu4i{M& zp8*A5PBfhmkimd`59$-G{jk$L{$u^}o~B-QY6$t1Z+lauhs)jY(aK`2u1}moKu{)G z{+%li-sbFI2!ix4B9Xl`J`{wvQlsQRV`t`A&iP^7`nc|BS{xJJ(mG2s-2n0Hk8C(G zE8;|Fez49+`(0)YNlq19oj0}%4=g@+Jga*l;8}`2MnkK3)r?i}Z-mB3>HfMab7+t2 z=J$PM-YN+yk86$zFIiBtlw^*i(<X^UVK?~0A)#lM)jns&t1=Z;2Kcm%E^*Ea!R#N! zpI}l#n*Um1f%QA)Qyi~YcKK)5J)MwZ+4!n^_8V6Ko3@K6*fjk<xYd_w+_`cw^40`= z?ECBQAdtOOhU-KjL~*<#`TP0Dn$#rUADMpheaR%TD}JjjPDho8t~$BC>LBqoBrsqc z=Q8_<$c4%yD?WfxjSq#<wm<v(za}|+lx_@NH;SstmOr+{;(pXW)Qlcgbm}H`UUoTM zDpRHD{~HO8{~(r>;4KZN(yDf8|NQ&s)cEJV$YgfZHQm9)jXQhccYVTth~SGa4}bkA zUK|YfPl~}ix0_JF+3SMeT2N5y7^|GslivH9#ys?QN&y8NdDukWrG+z=CGwF}O!ykM zgplo9ztA5G$^M!c;Pb97${{6FU99Bdk(XkCKl*>40xBbX&2<2CxFE2B@)wf@a<pG? z1<&4i(|z_^&G1lgS(_XHhy{`*ZrD5!NLw>MR|K69t_EUFDF0SWB9V)Xyn3ueLACvd z?EimK8Mio0iTFm@#Gs&l_R9Oy-U1HRcKb<E8BG=MUT<5_UWMQTj_kz9^$`zE+ONWZ z@AQyky{u~nT#}bXtCA|aYcC6OSvh}V(dI;O9L3Z#6lcK;5V?o4{Y^8#f}BJ-7DG1_ zHwLE}W#3PKu*v7eJ4C9K(-TFP0e5N`@clPAG08DjM9W~23E<8zxmX#qwx|42;nn&1 zM;-UvQMTeXSn%!f`I21|_P>y+{tiI)G9{A}Y*k7b@a|eOE2gp$d8FjW;@`QF4{CiA zOD|n^x<66E6cVMXyC~I08V0E==e|MzoAS+b=<2uNS}gzgB7fzjQ_2!0J=s3hy;u3b zUUW3<x?a(y&pWl-@Shf=KcXf-^I|_+q<K-(eAtHOye2X`-Lo_g#Q%6a@4NqHCh$p* z_d^Li#z;Ak&(m#6a+eVc+$Cc{^>^hf%eIc^q!)f@0h(24&KJbRQ#>UalM{p$4Z(|$ zb7&+^I--UWzC)#7MO2PW=V}1&gQLjPxTL!T$$80Y@fSyDk~fHnbS24-)msYyql6*Z z|3h<Ph8(xdhL37lN4AOLyx`p3b076DdZlxrMBK+}3)j4}uMq7t`1P8n+a6E_i*ZCK zvPkYjA463CZ2%k*mv*l1jQ3|GGT2)A6_Q|?@J)6C^QmVf;>_eZwU1@h$k`N1*`-&% zA@HD+YDo<?`dgUUJ1Nkizp~+xR||!2CRvJ^Seh}_FQF%!Y=#COr8S4HBQt=uG|KAr zo=IvS?W|V#$)2_iGa+3JGMo{l2VM}SI2A~^e3hJLVfKu{=%;_MiqJjm$!fTd!1Lza zAw}hpkkY-5KF-tiYt=`zZL<~UKYZFMU4AdnKnQreqHWrlf=tZ{$kuttmO^nL2zDbR z2tJC{uBxgOXPINQKH#!hd&)%<OYzE`hpWwLi2->3p?#>QDLo8fi{+6BXd!&{zUA`- z6$)F+JAQelbi1X?;IGoeS-x+z6<2dwO*Aq(QU+AQvL|+8<-2|QaKtMrGVrB=b#u;A zjp><|;^)g*Fw-*5%;*=t?B0^-q}#!6v?idCkJvUtd%A4gIdWQ)xT*X_rQ%<s0?YAN ze|f!19wH~hXKl{uYC-oOd<$tWQq(ne_?^`t8)!*t`r>NRFUjBX=wdYlVj;X6X`B9) zA!;N;W_w$?s_c15@_~3?HOSpDyUXldGHxbyeC}l!Cw8y>KMB74mfPijyR-2#`>#YI z;$-Gquao&~(f7`}At!G?a~B8sxl&l#QehQPllKOkzXq9;#TU3U6Sz3&vhzdVqH&+o zM0r!cd8ks|=Aw!8sYr!GJHPWXVazF|wJ~53u&BzDV8tKa_gPX;;kCoHq;8M{_q@e< zJUz(dHZnYUqUxdPQU=ar%4xpdak%7)XrmSGoo=*3BzW=Uzb=Hm$|lsZ^BQK98V}T! zZ{i?wBdwE0rU=;BFH>kzH<hl;zse?!EXj`|S+--}DOj5H-F~mOM;fJw`#}yrsW&2A zuF>I@76ibzXJar>rkdau{|mGKqUd4ahb(eJ%{9|6#e1&viQf8Lsxrd^Tu1j2s`}I? zaI0*`pF)op%Yfr7vmDcm^EMkk<`7C!a}la?VZuv=?GRbX1`@E~-sGLp4%_c}(ISQ~ zMGDe}Ei!s6^Yu(A@cH8l%TE}JD7CD)dcse~zc0<_k;tPe<y8UulT43b@{6{D;<x=* z5t@DMl*@b9Cx<^8ATVvm7}32M^{ls(mWGJi#qhCq7XNPoZHYOlEJo1GstCAnFK#_S z>fIXZBFcBPe&CZ)nr;7)?c-yeg-R39?PE9EjK=~~@NaMgzFHB-R|{a18E-lJAZTzS zY<)e^p4OIiMiq7Qvh{;7?)d<FDZ9a$3UZ%Y)Bsm;27?oPyQkX|!x{zHQx|oKZBnUc z={q^c<WN(^F3{!HS_O@-Gm_o|Lil8UQ<6i7TE7c+fRI1`xc5HlsfY-lPWtm`fGLCB zlSkR7gG=?^`EhCf?1cG>Dk7yels!fDP{$3V#U?1k0%|I&wD`;0?u)FcbQY3B_;uD& zk(FSg!yNXU6m#SJf%4aCW<wS{$w&M4qz;7@8`+2<Xh=NBE9v9+H+{6M1mwVD_{ERq zQ&98vptL91u4Kl0`ZyjSvwPJ9%osVCOEmY%qO(3|Y%mK;ZSjIyH2J8Y6-{Q*z~owA z>#gVglVp^W;VxHUK9~ds?)iM{v_C6cN<%{0Do&%;Zyhce<kvMSu)8eLO-Mk!sr;Zo z$tcmOH~wpiK}~CG)8NDX;)C@LuKBv-uY3K~>J)Tg|8>P^&C6iNU41bbm|#>la_V$C zNAhK@&OEgxzK^f(Cl^EvyUbC1$9?IuSL1j-bNZ#n7W_z*$`;;JRQH#w&}x3pkVjlj z=5%8h&Kuk{a<Joec!}#@G~q<ioY9-*Gip~wcv@P@s;@*0ckf?J{>t+Om6dGmCJ3D) z8j*t{N@F_wr`UVPOS&7YySKEq1?a)#`#cWV&&AXKCtW4w8P|?DzptdeU(2@R9Rur6 z^ozcpC2GKI$cO>_s#8v{_mM-Q1HAQPVVyEsWUi4;rcG$d*TM)c+b#x&`t%{!t7{=O z0y-$X|A;C==xozs>q0BZZOT%J9^NB9M}D-Vz`HT<d3Z6M@DU_gq;#7Km{}(|P$cA{ zndZFqzDI>Gqp?DMo70H%=z&NqxZ#CBw1qln7h`0kI@--9t<<J|H_hHQJa)@TW&E-^ zQnHf>db8qKT&NL%@83kux}|>-CQkTSOgLHzB)cO@B*;BzilH&4p>?JC`cz$#~A zexX1eb3OXXOa>0*fgbA8li~g1fQ#wWG|Y%tQhr4Cb_%~E=vfV^Txz+dN2YuBMWys| zt(LM%xbydBzV3M!M^X&IFycg~uiu)x3|IlP*^e_5of-0VHNY5|kf{cf@Iay+W@&~i ztx^hF(1WgS;m1!n9V8J<lNl;9utVNP0Zy-BEgqr3WtX_=&2++4`mH}Rj@X~Z<U86? zbgNR1WFz3H@IM*#)h|FVT5g@}!yQ(7e7}IAgTUCaPB*FCCl3brj;A19tOoxv(a{t* zulGeAe0*Xoj2$;|%+ur<we2_L*tPee%Cavalwcs&_J+)p!96@skSxA%(!`Ylck}i1 zqWaAbIZx}XyccB(wRrjvW(+GN&A!MdXUT2=0*BElcvEd=B*%@h-qsX2-?DfuH8f6N zm29$>nuLo?&V?mc>CGX_;2Ss-VIDp35Z?4)dZ9?Cph4qb>9Xe6@+5;eC2Th}e_(Le z7Nf*pzR-MLf4S$44RapQqb#L{H@si(k#wuU9*#Qf)xr)zogIfEt;v!eY|zu;fqt{V zxWu1JM_t4X<dK=rzG0mM$1In3R1zr#V48GRser*!PHYJ~Y{yUZw(LhVGhQ;|d&u5j zFSK%MDJR3lp_ovUe92AzuDxi0%KLE%m3L8lBIna*G|^%>=ulA&kro>w#d}(p3@f82 zB(o-{fMcB%yEIxkJsg@11*5kQ8dX3JtI?T9V6$ZwO$cTCa)$}a3)&Y|;xAo)|0uz( zJtB8Qn4)#;T~yQJ?Y|o=A*}^gs$!f<8@si69I~i9`BHM<ba3g@uLv1bGvCb*&D{9W zM^T1fdNq=Me*AWzDlo;Rr;GT?Ib3yG$Jl_Zmk4WomJYuv@l*x+&R((-FH?y8a@G8< zUkCE9mjcge&F?e9IZ%klPRi-j<i^iWug2fsMoR2Y0gmvKcE`oWc-a3IFJH5S29KW2 zyea6l`1D#7SjPw*PC9N!SWl7Co{Rfo@6Do-p6IBvhy{SB{}w>7;kC%|L<hfiM_TmD z44Zz$N4t3lR!cnnt4})$)(amdd_sJh?&mm!_~q7TbehlEk{4N?g|QSFDvIKCctmv? z5GAI%Z+$7(BtEARqWXZw%CJi7BuCw?Qy0A^4lZA2ZAX9kxu8yR8?zJ`24e7y7v#oz z3#%QGp1-w%9Cr!7yyU9R=sgyoEc(WU@jot&>4Yw1{4|6APd%z7FSvz@;+L(@bckXD zFfT?j4wIM6?+4V8?3M5Ts<QTWiZ}Ar6n=J#4orpzSzrM?r8d^*=eCAP7S1<)S|BKO zX0c)6TsHQJ7S{;Xy)rb+f#yWIRf_{H0Es;iljam6@S<{uR(K4g?_Z*4zH%%$2m#E- zsk3k}<G(pd_R<z_TcaiF0H<_H@x{XrNKxM0PO9rILS-cY#m?jggJ36#MWkDsIH0C- z7BTiDjJ^A4EoP2ZqQjT_5KT#r2zYfUM@x70)|ZM9%RaP_wvvp9gsbc36+}5|3!?%a zJ_{-_6!)daOV3M3`}RRR%RTo&NSxkN-|9AkY8;EtZv8$^omhy()8pq!|FxJBQG}7+ zo(8}qv0ce1iAWB6P<2qHg^)2-gSP;TPsbB;Ir~2#5p0n)E8R8El0h5OB>lQxb}~8e z;UB(L;*oe|w)||jUDm{h^ZS9|M|hA47N+9N8=Pl@kV2uThg<wM?*Lyb>EOF*QN^0+ zhKC_mbx9rCpckfC*YBY~+43>X>~kjLzvhCrC(CXy{rh#Gn+5$?^Kw6Q67E$aArO0L zmdwKdRr4mYckW187-*y0pbRWbd4aeD#TO7-8NM+W2#Ebuo-&Yp_}iT0NCL#FD2l?K z#AkHhmy><LH}OBgZpwz<F6%vhMn4fk7~JNA*P^`9*G!Yr&vm<M8xPVUf`asEDN(kf zFHoZpCa+;+<(BE<hWXiVypuf-B*CH|^{6dkzM|F|beEO1FrX$!R20SN@bA)X!2T;# zT(r&|<$K3U)Lw8JnyYRS>vVpB9Ul7r1mVU?qfQz=XYWK2Ag8Z)BA}2JuWPCDBB_}} zpF{B41_Y<CT%<l<u>s|1#cwQ=_Lkh&_SR)#swjGUI{Z&`>}?`WU0;t4ZfI=?_{JXJ z{_t?~<E)tlpy&X1?1vwoV%6+h>TWW+))qQB$dzi@@@TITHhG$*H8`Or=48oEqxhuQ ze-C($*Jo(vh7!g9674?E&uz9zJhGf#BjGtvqjO7(>ueTt$zU$ezRU`Saf;UP%;>%? z8~TEo=ktSQN+dE#cLC=bYdf)uKeA!n+wsormBD8omPNQXK;xUz`1}Z*OApJO3I{Q0 z6h65zF&|-pfIM^SJRUl*@-bO=cf48sjY~8^u)XLScczid6C@k>#tUvqegd06$l5w- zv_LJ9g;F@dG0b33yIVJ~yT!#mo+u$uQ0cx*u+?8Vg_K}<BLoK2s#b_4hEFlQ&%i8w zT&aHu;^p!_F!=fqSu0h%O^slS9zomg@?k{|x)LG!XRWf2_itdqft{LaAq(*8Ej%yK z_ac@g8SesDX?vG&eJc4k`i7k^4`%KU$;{xBBN#%zFOa1M7<`nRDJIftotbdD!wbk- ziGO`ljig-DxOt`==Ghjsoo~M^wSP46@iqo8izMu#sNNZ*_e_SG|F%-^`!xvXG}%G= zVw~`>rA~962C-?#s)d6D1ojOp9StcHrGw6v>6=vw78%bETq82namDp7%gL=sj7~iQ zF%LX-Qur#^AKoG5)$F1Ntt_CGx|59QtH9r41@dyEd!@O-W^2o|hyZK-*b@N^9Gp!= zLm_Z>O}78f#t|<#-g^$NEd)RlP*|>@s9t4qc}=^!%(m*xaBX+t4HCw1mzfg<ljE^v z!skwdxF4%_xf>%UfJM_`hkcOBE-cCX3bXs2vfm}N?^3D%PYzoM2WJaWQJK;zdH9|{ z4LEq(V+I~y0mySUBZh3vQPDFVr%Iic97vuoEYxhM8oNTIj-&%^ydc60jYzjWC*<^b zuCjV)KEVI}@skGh6~g1|=5|5Pd+$#L9P8?^VkJZAwkh!Q$N{)8RzzcAqum)$#eNgV zi5UJEDi{J0hRVn+(fIS9WZ%|+JEuxy7{R2Bii{72VEY%1&+6rlsHYInUQSl5*z!3q zr!OJ+2LcIXH|CZTW*k`(!|F;B)Dd{{(u^x`02n3}9)GP3POl5bNwI_(ZxG*q_P^LR zMU)tD&P!9G0;2j|)bPSK5A`0sVX%?8`r-ZFjp!hR=e#kJbQH{@@K)8Fbw8hIQ7i4o zwP)hFjeH^iRZF1cLWVSVu=O2?>^$$dwh9#gke{6b7eyQk%ua7UM@N3F2P1SIthHZt z;v%=8EL;LE|KzYuUF@!!I2HA~fh5!H_|LG`D_#zc`OMd=;1y4p>~=)t{G>QhQ3-wK zIYgXp$imRwwZ{;I=^HoGOGt!NDlWi0)c3FFFs|grkL!}@aeg;IzZM6}-jmR%q_NN( zQN4DY(TbP&D0k;>j7E+K0s#JE*go0feNtM{Q`s*7UB3!<SxW%Ic4hP_3!ZT?*#>E8 z<bN<<m_fn>{mkBv<i7&$uq~rA@h)z3_%#fCbULqL3l?r`bDhsOy17e-zs2WEKOu;k z>?6l+`DVZS;LF5xsK*ICb_tC8Tl5-zNP8X(3}OKcG~PIv@l{Ht**R~3cU<F-Gq&!N zMZkF~kw6T+Qa>2-^no0U=?Bkotp~Qswv?qMDnI~l1{i7+m5m>$Q4knFPJt9Ln1U`I z5ey|!Ool^&NPT_$3vj9Sh-5A=lLKW7)3p=$9Z}8gU0#qyuf1D!O1RUb=fSMpvJVkb zNL({Mt}7=wJEG~F(sfl?q^G?502NGxWdXNTSg#Ge&tIwXRe}FPu%U-clbg5VeNf%A zMw2Is2+$^_2t0fSu1`!x4hs5)Eg-9Zj(icGga~X#S`i>dJ)C%yu&GIi+YlHJFJ4T9 z`C=C#-dNA83hoc!x6dhXN9$>p$?RqHU#BqxWP-U2jv6JM=7EC?7wJ>Ow#GgBBOjmm zQ&W!e`lSZOghwz%uuQpRtzMT#%GYcmChFaq=|@K3`8k3)cQ;qWH+9?dy1`~#W1?YB zBm@0eAdL-e^s{TS`Fv*XYMq`@Mdj}{WoF1>4>>8e7mFr{ZQw`{o_#$r;CFEF>*rSK zQhe13bxwaDs@M`ZjglikC-`+^DDc(UIKrt7--m@~sXz6{Z<IgvE-9+ZyH`)U2N{yh zKVe__F;_P)cv@yO0o?jpY}+9Z39(av;cypkI=nF5^}|4M%o<;3P|o&ah3~!<4p2i( zac6$7;q!H?XVUYzY!k%5(FV>x+q)d}g%i$-D*^D%=Ex*ur9p)NZYmXWFdzTloui*Z z3s_Rs-vwz!*`s^I1t}#QMn9EB9$q~D9mjgugSd$Z2vP7Bk9s{^S!7vrH4MD!?zBSF zU;8W}0UOMe3Ya5s=xhr|9%jWtB01ZO7k4tPDP5i!c{)b-1t=oD3F)>6hJv;ew5w|y z$I!^*v28X;q&YP0olC&z>GO*Zo8ZTHrDUZuvIkkZ0{4bvi+&wn)8AVzcr}XE{tR3< zB$JoD`F>o<JC)bv;FZ_2Ev-gcZ>ackrS<HXI8BrYC81@3TuXM!(+pw&Y+)`TCu`I7 zupIO0>^i+9k5sC;IF|8dlwb44V?}?=&$SBiUzUXW^OyAO9y1W??)$-Y4^NFLgcX5- zT`ce+2p)U(8+KJB#hem+AJuaW`Q9$gt)4OJ6JyUj+P1^)1#m-LQ^S9iRlle=$&Qmz zf=eJ=B2~V{FeqIHVFeZETiXJHrE>sZKJML3l&jd~EH_~)!M|pdfC)(a6OoMDJ8cEz zUkX_9^?d7$A(pjXWx8#{`&*Y?ik>%dV-rbOQo$i$5L_88Qi4*d&+{C;@r-dS>#%24 z6n*%TGs3KaDr4caQNQ*_PW;{?JBD!WaN|wG{%uYO+M(@u({S`VdV)#naCWC_`2`p_ z#)9wI_KSC=<){s3y~$?@iC@NCP)Hoaa;y*DC)343Z@%x0-0l6V?2kdf6-}VMy+QTE zwTPkUlR}#{9yR^in9@C1F)HD%BJ4@2H_Tg<Obu(yy0|8^t5|^rqB~2K&L(!m#jg}{ ztO@sOf-9}2>~5H@sy7@C(OMA4OjjEZRS~<RJ#fu8Qr`r;0L_I<@{7ef2VRVg9q)ss znL&7W$(2(|jCQ9z7Oz-YK0h<L9eAyE>k7!B<8eDq{*$Ime1Axe06+3HXz{lQx1S3e zA}Sr;oy%O(6L5Sb*H-^my_Et<XQKv{UvKRqb}{0A7ha~r2d<4~6DKAb{QVst0TA1( zhIqUeJGb%FtS|5rIXcQuGeq=m*QuF%QTQ`pwcO&8An^4%xApx%s}C_r4t60XUHjuN z&>?NZ1ZpyPXO^cHrF>F4ce<(JUhVskA2i1ctP^63^@k0|eII#<EqXs#A){sZ&%VEL z+4v<^LmBaR+dFtvDVeQKPTD4>N2cSA{#kMY%kG-)1M|m>_-}^y({JF7#@Jz2ZMKK8 z^NRZLdcPTT+D;Y(kfnM&bofZUMx0m_-_URvky|caJV%B|C!eB_7*NYYwHgUdvQ~)N z%lp(q=DZV<=*cunmPAON&^Ob=gzvm?cTIfmHEuI@Mu!A0y70Nm8g(1Z4<>5FS3NeN z5GqEG>~Ncp;-P!T$He0hE?LjjiF-R=l(Uol&?oj{_^fL%iwiyJ=fg+KowX~3o?JLZ zU*gRLZl2$LMfU>epFw0~iV>Nd6<#a(umdJrrqELj#fC`8Q?rtSuyeLqTv_?}K-l3O zW3eC=Qi4^qWY;!h3H5pX_V%a5kSAhUm|AJn<mOjB3OJT$r3rrJ^+eT0y_xwtK1-5y zQjjhNX$k5N>z>%gQk0oD+-r&movXJN3zfZ{!M1fDKBBHrqSG$}Zj$<s-G~o2IT6=x zH+qS7t3n>6iJW@{$Bwacq$*11;F<}fVZvbI)4}aO4R^=~O^@&H?j8hF-6jTV{$TEB zBt@iCQ#0jN0lq*nF9pUiCu132aQ!dwu##uz6s9BN-ISsKBn?eGnQ1f);kRuZqLw&x z;7Gq3P4?~&^6m7Q#b;!p-(JJCWf+1R%%hl=3k6zHNd>N8Tlz(WOW&_W%Z(wf{h`uv znC{13G)?J%lUcN;6et%Oj!w%^Zyr4&uBUJKP$30jM$jM3Mh6dpHd!z_y^t&+|59jk zIx=B~cx&iUeo=yXQR=QrQ?#a5m_JuS5Cwgn-6ip*{S}7JHS}bU4Hx<GrmO$e;P6>n zsIf=J*;Ky^zPodgVsN=Cc!u^wNj6;va>TWVkgoVach;G&%MW%LEv5r6o3HP5OAW=H z9QZsW``Cjw@!W)U(m#|05y}JX-=UoB+kq1AKIcgm4^ku2X~abUWuI!==_LMuoxFqm z@7a5o?1xE&P+`xHrqYO?nyouRe(pdk{fY^&o5z;ZAQ<7^L>xWXrjs8DM*ijHI{O7$ zrbXtS7+5tg_#QTs#v$Qm9*2DU@QUG8|557>L*_H;Xp_|m>tojSo)GSUj`St=tLUe$ zZ&#?9>oPhk8%#R&_W%D~q|4F8=sWg9WJ@F=(86GorWQL+)e2fAM<==7oo|Rp*_m z&Y=!wA6+<fUOBCB>3BN#An8pogYs!#SnWomC+l4G{&slm%p?YHZnr-~j1^_A)DC%- zNJWnR5Lz3553a#5HMNPu{gfGr+jmj5VZ8V3ri}_9o$6`b0fP^2&~ojD%5FF0RE1aj z({n2;1@bVM&DzrAAw$?4EH0pIFNlsR*9t1rV$~-w`ppLrE+DI}fBofAUeA=1T9E_c zx~$I)a8nh(5npy1ONX!caAuv1$(Am3_j^N8J!ZRzHk7!g>~^4ZxHd69zeDuaSmQC} zul6{AYf2CGw7J~^MK2UpWZW<W-)h5-{U_9tPn^OsN%2sVb}nCSeyEm_(Dgns)TS)= z!QG-aUw(ff3D&Iy`V@3!^w(;ai(c!AfLmGoo`L!+97qZJH1&}9ZMm0glTR~#Qe88? z?ueX3f2}GN5TDvuf7Z&+H@$;So0?R-Q2w&1(p<(8{8F`hHhsGg&i_k_;zxmEl7UiQ zurb+qxC*hY_&DCcZ!Q!{9%)UuY{ayRZn88-MF!%|<pnQ&AvC`>_#6F!Nwh(=oB$_^ z<S`g!Jp`Q*v})#RAnuIXJ^a;~CiWg;C+f2d9R_?9JsZ@Ze3W;A{N{~3Q=Dg7ZRBre zil>rq?T|f)QjIHMu93d!Z+r&6BIj!%-4_+00ln*wik$i$MEC_YNL*HoqU=!*M7>55 zNe1#b&ZBHO0$xVcM!+O2L2IU=QZG1v?mMHg#{w}pL?o~C%_7&iaXKm+9Dq;W6?UWq z^=*W$Cj;3#F3aPck=|>F8cLj_eB|3p-b0Tg*R<j$-yly7iG<A~2A;z9Oo$gZBzp<r zn%ZJTTL<O*5lKD~6o-0$SWLIITxRUE&G{z%8>J@0Ru}?U^vhU~612tVaQOqaEvInH z_1*?A6dk8F`xuS{t0=|x1O{{>AL4$a0PM;IMlT<LP7*!9;g2}iNOVBtRoPqWrousR z8{bCxcG(Kcg5kqBI=WuQlMkUz5_Lbsd;2D}>ih!!%dXi$pf$~{UzU`}dNEq-N!Iq| zEV^ET3AqAwu_Ii;2(yC9<0sNG;<uFh14QSKl#{Q0M-Nx}U!eu*OhzAI!4ZDn@y~C# zimGT!d@~5e1&<iqumCQ54e;HpMy_?hXFHI9m4Id6I#Hu51q2j%zk!jsue#O!32w%R zPVx;NDy`KwZ!$2ol9^$sHc?wx_#%N21}qeGug%J;(l0u~@pbR`i>nJpip1QcG;vu@ zlz;8LaV%UXR=<ZHWqX?Q=^T%5f4%f+g$(dwytC@NQgD%3b{FyLrQ-79xH^6Y6j&f% zat;I9C<6#=-?*F{V+!V(O{hgK->f*LZ&&ZI^lE2y^-gP!$0+x+EhKJJwm3-QT*9Bn zDq;))0{Zc=i|BN(WZvJWbUGKquzL;R8$GXD&uthT9!E`n4|DijY`N8_3zD?x+2k+? z5ELF{4d4D7tr2aK2C4kt<nF$Dym{|iM|V}vKpR9{7+N2-x%qA(ED=<9US!4sf>9oa zFv?b728Dyk8$E<XMBkO23Z=zgL_fNe9sfkuR2W$Ezn4yZ%-ZI!O02{va22ajz~}rR zG9gGt#^Qz=Puc0Cgx&N9>)op*#cvwz(O5QrrMn2J*_79DD-Vx#=mV7W-Qk*9j7i8m zh!bt1+Bedoj=`ge;u?F%x694X5EpKM*Dnb~Ji7S8NzcxRULDlkD52P&3=@w_z<oQc z35YZet_N3L00O+ml*V2L0^vO7k$P>;qwW*xv<)}-E3Xdg>VA7Qdzf%0U-n{#Ci&7E zM*M7~ILMIFT5kNOtdlW7^bE+i?$RwzRhB6#o2SKOLY3@r2XM8|TYuhb(rauTLe^YX z-(GwkSgVzIrGeB#mEMEvxFMO5a&Q$xA^pq^IF|H*ZV10kJNL<QgEOy;DX~%wC{d!Y z2gU)fPmxw?OgiH#^e}|0*kIr?*ZtsLDKnOJR|0z+yE_;=zzsPnhg!jx+SRrk%fGw+ zwpk%wm$=kSvq%RN;4*H!40xfCo}%i@!wn_~IdZ)E!w#MwnyMOb<qVhz{f+hzdib}J z+S8#*iTBR+B79mcb#sz6Kh77=!DY}e<1|ki{~TS49*ay#1pV&fL*}6N%vZRzI|@I2 z^#OS5(JdDPDX&D&N|PYL<`n|5>4*4*W;7QWG4}4ViIEU4^kwL&b-mtOmG+J3esY+c z<P`%PO6nQ;p_P$hlEXm<@_1_3##gRgwGwT4Hh*tvTI0C|+bXF#cV|jx1G4eUQ+hD> z`PLx6RE>S|`qzI_uKs<ku8+Ke{1r-abhBiY1Y$b9=8nd06i9>;udPcsq40HEs6h5R z4Obm;aC9)x5#HQ#E>YsW+1~`cNY567D#eJd4UC?e&iy2lEE+<D?d;q$r&}eYE4}JZ z!&+5;B_4i?D0n+ho5|tab-u9=RCCbmBV@Nm846zp<PBIG7k|XMXTO1q5BD;!rtd&c z4DjB?)g_?6Gx#C{Tm+4Z4!nM&IPPDfMW7?x#{-Z()wTV7?Wxe~e3%xT3odt?aF^{2 zs9m@hU|!mntr0kzfk1$VD)m`JDVy4+Gew+9O);D|c5?-KmmUzTpSCEc%|h1ijw@c6 zmcttfT&I@p!DeXIh_i$gnvN0&717|lMCi9D#6HEP6Ul{z#879`f@uy-DF`o`)|+7Y zw-TtuM3*lMzn}WsCLGP@C41%KaZx?<8FGXew}Ns-)Fat5V0HkkJ*Z|P`l#)wSABgF z5d}gHnmxFQ$9pgJ{wN<V2~GqSh3CF6H_+FCO9TpAU8t`;H@hXc`*IudOPCX0ZFO!U z#_)NKBrTf}uT$XVN7{FQC|oVN_Y@tlrQ?ohJWOq<5k6`;^xy*`$E+*<{xMTaC|ky{ zFJi(&O~^?RN6C}gO;!MDkIqXmp(s^_r~1&=i&5S|r;u9_=J`<{opASh?`BZ|ewqv@ zQcOdqKdJ!<s$Pg4mLRlyHa1}Kvs<OCnjbig2&i@YG<_Bs%_92V^Tn20sOq6!b$Hw| zUFsY2Hd6G$V>RBqhQpum1E%OreLeAz7&=?OYh&bGkoSWTW$P`$%JI&?e5S(##nBny z+)U(qMEYhXr{b3KY(VC#2{g7nM;zS0$oL5eTYX{;gKj(vejW=B_g)r=jcXjWD%%_z zyhsgq(Wk?YG}=7~J?t@iG#EytHK6UFzG&4ZwR*-fY`Nr?Fd~xlm*MD9(UL(9riSm+ z#pu43bs5_;;J_{RK|i#cdf-1%M_hbKR`MzL@c5{qMlTayd@*?O<+0#n)3|8y3MSW+ zXG8(Ao+l@C6MfrS<weH2UMsY_=sn88@tmi}%hVH(BKrS$96|>p++$Bp24!$EC=L$$ z7w^7aN(F9#wNFAb0OzY7F61RW1i#KIMPljeZ=d?|NUr9|WZuWu`%j1}H&}l;>}XW? zeUxevC~1@x4zy{<XXw;UOXc59TapBjd+6Griq_pK^$YK=_|{sdPm?uhT^>+hv~roe z<+~i>4gY_AlR7k0eEY;vd7klVugw_o6}P32g+q6`GdT5sS~K4I{>yVnyZ6SX#f!-3 z8=H4}NP<_^c8H?P{Ewd(Kbg^boK)PmLBh~;jY-3~X@}S5_{_NuaS*kgb*nA;4Ri~G ze<>7<B771`{-fgQC?uh$0ty`%5DOpgiso}OUSL@&fNAP_n5OZsGPDziNOh||-EgRy zUL4xf-a6%fG;tP;3r;~mLk9!}=M_wJOFO}B@BSu55m@22WpG<PCB(vD-0k^mI#R*f zZwwPB5(I7LKfGLbz7+jl4+6CVTjf7@YgpRywHmUWx;MYzNRX41rzp3O|F5yH4r{6n z8-F%7iII|mzz_u#fuSHFF+xG9Dbh%Zgmfc{XQaM@Gy*CxLOK;hN=73{C<rJaB}#Y4 ze&>C^>vvt>pWh$bb<UnT_nvd-bB7A(6n@R5xtXbbS1Gt08_LKffy{S#YKtJq-N)cd zX(#@Xl#^*}ymrKj`IO9K)%lMVL^|A;w7!=y4#zs~&71`HIy60VB_+hXL~M($S*ik* zB|^vz!Bx(!bzDs)v1{W>gw7|0yyUGlw`r39pHZuJ&%#4Cr|6&hwXwcVm1PhqM8lz@ zcKmSFHiz6tw7P<@A@F=W4SD)_q4%9#>4k$IP2nVXJu+Pf7KE@&_v`X<MHxrqe(P`Y zqSEz(!LCs&SK{k!mT-Pp%D<iCh&cT---6zz>BN7dAUdn$Apfh9b6<i~u%8U{78Ut^ zAXnM!l8*Sx#VvOK+@3l)Qbv`Mavh{S8KzyE;uWQqw5B4IGNG){ExV&X>})I$G(Aj& z_=h|T=_HWfj5k=0Lt(4Y6DACrO#Pk;8uM{zi_gVGF@eT)ca1TBRpwY-DO5+S;B|(( z4l8<)*oolbn=%H7;D|*Wn#8YD17ts-c&@xT{NXC`nvyt5#|#&!f1}&%z#1z8@-v#0 zV#PxrpuM#YH5FkpTy2gw{PRJk(;tns?N4747k=Lm#{-x7rX$KZ<Gv|r;~0kH&z0Jz z!#;fag~*JwAUPD?mJQ6alrw(K?>@Zl3ZZF$2+;#M5x^UdvQo$8-f(`TaMY$i0@LAR zXNM`0_2f|w02N26y7c@E0z@R7?$?!quS1rJW_w?++g3gco}iQSSck3Qm~>Vv-m?N~ zpOr}VB4jB%T(=~W4gA5!8l$cJPG4Q*DOanJ96Em%j9;6*zJ<7oCRR{%pqI^2RSpN~ zKQTqY+tANb7F`V3Z^rT?QUhjG2xA1|fS(Q6Z{c*onL$QR?vH5(6+$)PXmS=pn<?g= zYq36P={xqKR&5=D&MZGGH&txbFJVVUsMJd{6WJ$rq`kC5wLm5tR;cW9k%`_ry|p4a zMT1CD5XCreMMYGka%S+CX<=C9H%|Z+4PNi#HDa((Y4{S6yf|61u4^y0h?o*b-W+?O z5&f(S`73oOpMg&|wMY$tXPU1M0&Kb+^6%#<*7{`62fZR-@;A07zq#J=-b~m(NGo|_ z=8Bl3Mu+ucq~+V8XqzhwBtQ-g2*iT7mwiui^)tGgA|x3deKn`K`#)~H4Eg*0(Ch}b zS&`9+(!lNYlUsK$JqxiK9={obLmIq}7m5{wjEa?ob!q<gJ&`fJgCW(6Y}*YZt=e@) z_9Rm&R`CQkIFP~HTy6eZZMmDcAkMYS@qzKirKaQ&rzS}h@mr|Wf#owW+<VzhR-6qu z<jJ6r1o;wyE$6FUo8b3*%8lc6``cjimHRXb8{--WLhCl<P-J(rHT~swskISWLkP7M zj0ex#zoI&vsoHv_H9O5$3S{4>X#rzQW9<9(+bdyfBAdf$CDXwv?|8qqxCt9G4PcN6 zk+fDcwlOO{8>FC!4w}31I?jk}I{eJEGqo5x&ew+yepN7Aurug$`)uI8Kul{C8qL1_ z&fa3W5<ct3amLSTduh2Mb|F{K1Zsz5%@w{5GtX+203d}0)MG*GWkb;RHs18LUUi$( z_pA?zZn;k-olD&6+ljz``BD}TQI5fVVr?6jzQm3Mrg=jcBtfaXvR9pIV%a51xF6S- zHa3GH<DBD=H0|0}JuX6eR6M($E$`2PyRuh>VQ+_!fH628?lM$BTNVn`bxvItkEocB z#}M~^z~}GvyR$y|(h6aL!`e6L_2#k$jNi_UYn5Hft73%LDTLic?wE~B`?B@Z5=;Ml z??=+m5jW;O?ufbH#hz|xA<ep3+MmwOiPTwD4fav3_k&ZNoDu{qzo7)+Eluc=r;U=$ z><&=ZjIOeS)G_4xHI<?xzazG$WA$aNIl@zw7OO6T1Rsj@*ygCW9)B->vP7o%_?a$k zX38Bfnlp5t@({-D2e*(`6m2C0mLrm*8Q(TnCn0DoF;Ga25J_ig_OiK2Nwz&fz3zu> zr$==Pf|B2)qpIZw&Kfmn_3|l>z+n`Z`BFC%3IZZ|eoQb>8#KgzyQlFP=Dm}345c^9 z7Y>QKZVdO%5Ob*o)(!In4hQta!`Ywsv6B3*P7XI-$r!%_^MizOBuN<CDuc{n29<B# zK=R4@RGX8U2%1GbI}_*qcCM%$Kl%NoTWUucswv~DWdV6c>_`Hxn}lyyARcxhav>k2 zZ2d&!qKT0@m#-_%+CQq!Z0#F&%m9+6rXWC2F0~=746;@1ybwdJwL$`<pa4h!ptFjo z?l$H;=~l_>*!-(`cq7sweb`7_5M)oDyWJ}c8V~c`oBB2MinqGg5pyB(Qfy#=P)ds; zS>5@3PGRv!J5m0m=c^=l-A>q7;@I9Y%>ltIfFQMv;ZS6!!-ZeL2}iRO0_#L|`To-2 zeVACQ)qjHbaE<9;mHF=aTtT*QkVrGvm*oLu3{JpUgm?9>1H=?<H#KZ)1RFsjyjF83 z-lDG{wywjWNN+`}eA5L+-U%f<_N$E7ZA_Avc|FFik0H(*zAer(f_e3i4-M&c3#RWG z-Z^ywK}_%JVTi!M0h~&e%|$p^wDD?+DM0dwtzZ6W5vv9Q3W-0HH2X`D4Eni&%Jhh` zC)l~id(VHiYqxxF7Yx5;P5UgL+3{kk3-|o@AdnEH*b?HxF2q5M2{gS4O!c)a&iqtY zK$32jP0$hR!w&KxNuI6rw5{l4$z2!4DZ*hiQ+UggMlrPb_Pvf;y*x89lLby@-_>Z& zFJ=O2m_khb5B!pAIKY<3Hxz!8KbQHdG&JqG9WTguE}QxU9*~2d-9pCX)8d~8GrJ*A zmPG=Z1^t#d`ZFdVAY`lf&qMBMCaaxo)~Da}(Y(x{3_9K1Iyu+0T!A_7$awEmlsr9C zl=*cKpv1Yt-lGe?R#8qPa4XVYU+o!p&N0n)f4&Ygtl!vKM7vlSu7(!77=})}x?!0K z=#?~zx+J(a+~|PTTw3lM@79OU%P9S@9)r2ZfV^);yd&DTVNY+*N85Ad{J3^?DGg`Q zvyBIkLip81?8Bv_SeMcs3hOIstI<VNvocpS3v9fFpAV-P;+(WjzGM#<!^|6=XF6(( zD+&FlF8q`j@OYc(pFE~U*iIio5k}r=6ISJrL~-J0A|QrICT)2ptlPP=-sg_{wjeAV z89iv5pZqnJ{(9*N?(@KRC!iGF$2fM&1q!knPtPr<*yhqt-{5=@Y)Fj)7eh_>T@>ll zRCRlqb#8vF|5&-NYUKXwO*|Oxy42vowHnZ(FT0`t!#or7BzYItCzbN!H2kP+Q`xB} z2d+m@d0qP${0&7)H&z_ik6AdU5g9du8~o(;hn6QfzrjOUj3q5WIt9?j&x+vlq4--v zC*UPD?C*#muub-oRGp($x00I$vQXF>T4tw-Eenax3a`b6tugH}K`_%?>6N~km!jN( zJ=f-~D1zs}0xL=FhIfjm+a)Up9tfW8QI@V{t23M3r?>G%a1|A0F+J2c@Xxez>9$ee zTA9kF)q6#W7<N=a*qw<0r(2;%77rGQj)WC46v_O{In+gj`%BmU%sB?MO}}*av-acK zVgZ-9;7P@{pC8tml)6Qen*}`tcT<~7a-^yf?4!$t0i0_PMp0A%shWn(HR}cLQnAp> zw<tW%Vb9E~o=4#>xpYDvc{&R7v_H6Ujy|uYmLfCo1mYUZplFjnLHuoo!PAD>VsMVL zM&Utccec+llnyyjZKiVWwFEmKkUwyuH_V^JI{N@lf{I5-sY&`M$}(3RUlx+?55Fh^ zdN+xjMj4od8@>5L<A2)|GRj+T+OMJ(H+l77%_waVxw>jC+#-{%rzaz^GLy0pzt6>v zV<_lT0fs7LVrEd%9wDR0D)P${RMinvX*6>_s81YKXq*yzJmKvncq77I?+RjA({?o( z<@5Zp4S`rb!$CZ_JH}Rj=vh<0>o3pS@_laeV?z`}@`<hIcrX}j%IzI~shf?MeC?76 z7agt;h&<K*mQ|qWSq%}NoE%*0|MQm`_JV+!uk5oSKPWd>FHtUuI^Fd+<K3!;<K#3l zN2UG@Gtoz~eL|@OgqneTx{2DJ`cJtH+WWmqxu#vW>c#3%`&D}BUJ8;TWX($$^7JR) zDTOifCl5z04Za`#I+~xJBmCIzfVUMEU%;^YT|A%Yl8jawM%^iDOeN0wv3s0JBh{Zr zYEhw(PbY<>RsZ&Tj0srwd%>zv<HIPi;wnM0r&w_BW_j<JUq(g+2dKd&JRviFd>nGu zP^MT-`wXZ=UObu@qxtg~Z4>3c;wTpX>%FxqLe}DmoOvpv(N68o69kS59;pJ43|~S{ zU5tIn8x3~l1ALMLWJM&;dcRywWT|L^957_}_O$VSQ=#|v&EDdq&NfQd@xJ%L`aw^5 zGb8+`!s3x(+h!D9bIHL0u}dH5#V&SZSuI&SC97p1g&7pn<dW0*<Frn@8eOX&<p+fY z0npm~1tlx)fdd4>nBC@t9{Le8b1o0I0qkDcTj%I>|C`9IRmxbpnRZhk9_GK}RasXT zCKakYWByE!a~<^lyC^I;8HQCWjfUQEFymn+9>zBw#(uBjx1O#SMwd7BW$XFME1WDF zG`kQwigXXyC75gtDR(vR)Yb&JMK0M=Ylj3VW5I&W%mt=5yA0DT?_l3C#L4?AsKKL1 zc3{nKSz4(su_|RH=Kz(R+b_gKR#7U7cODfhdW3bR?wp<6;C~}hF>}dX@$1(3Ef)B_ zf2duxbH~jis0_FV1f4%Q0;W;qz_#Qdg|G3cR0l&^7L!PCxSON)AJjWT&aSV({pWgi zgz9hct!yPDhtI!l9Gs7~U~B$K8Zb=1Ei@;`4Rp=Yyl<636X(+U%_78(SZ%}0{jsY^ z1Q-dbX7mm}LEI*^+-1AyzZ@2P_$Yktp^X*=Rec_ERr>*R8DE?o(PNQf%*kAgpv45e z@>Q~$q{_vJRSU{CTz$n3ufn)^o_y*R2y}9D2<|JY5Un;NBe_GiEFg#^>sgqzzv zR{b=+&{@zMAa>d7uGUkOJ6#rY&WUGbOKwex7T%4jFhCx80(_O|9`4c)71|r=)~`zY zDESXREv;G4T+|X@YGBTpv;Q2<qLLBDc@YUu8Xl8lG?2LYX7Hx^2&KHO;l`KM{hd1H zfKL2D$}hCl6)NL%yB7yT04rYi9_@SY4~}qMZ2KVVbgxeiZO=D0=!nW`hUi!KiT?K< z2I$vLp-FvH7_w~MIvQcjn-kbm06M4Ezd%apiEI6v41W#5j~`tM9CT;|u%|UB!Ggkj zrih6_%6r&FRX5o+J<n9WyfDHEMJR#^7uiHL5e|v?`S;Y{(>Vn%vgV?Hk5HVE5czqo zFeug+xd<%xWavTwaS8ulKV~<2LB%%9V$R6?;{ppqmU|R0T2M;cw{U)0h8l?^yHlwE z@(EHWJIcyM(<}8Y8e79VoHa(d8JM~Fc=&?`bufSt?*i-qz#exEblm4U!%n<c-JA`Z z2VDUQ0H!;%!JsGxO2de_442<4Svo_9Qw3kH5bXs%YQnzxM6b{bczCeQ&pA6)<HfCI zUKFguL?9zsh`NZ|RnJ2K@dZ8+wh?fbcUL?!+xlwnG0lyLzyPN<qat8+flF2+4~aq; z3#y7yfBoK)#qorxyFRs=f&2zeO2OAHx$c1k8%#ZRtOdp}DZVkiJCtL}NZ%<0He`@z zgs7OJ91D4GHSeT8-J||PXOM>lPB~6U^(`vY($Z*u<8@KILp?P61ZPao_D1qf3Jgk0 z%X#Zr^9xV&Q>$qEG>OW3Q3?^m7e1{>eNmRZ7tfo1<K(X+A_A8|$BeQX%QFFz+msja z{^>H%Va82H_$PG+inDm1UG13BH>vEev&y+h?eidN8^3XCmfsl^%)qo=rwAlBhlk!L zvp%3KI3oN};5$@Cn->Rb)iULSU2I@_`f~pvCPOAW9S`cVh=-gx81O}TnC8xB*k9<4 zIupSXF^&_ZsM1E2eHUci_^%P7|F_kdrgpxkeD5Xro0sDNz6gV*QLALAjQ8KkhnZit z>bdVlSl^*X(C8`*BI0!wh2eB>JD3BeD<}g`EU;JUOZXo3I!F$7E)nP&=cbg?F`JUb zRS;IkjX5MbM%2Vb8Vue|bkY{l_nz@15_^JQwb9_Ix1Xka38cqD{0y;!o52@knTcL_ z)HyO=P5cE=!(bIH;A6JAP1VkFwkB}C_GJjoMb=IF112HW>~a`){)1cjOOp6|kf-Pv zEOhs^uc0W3Guy0E>SKW8)z&083PvoOB=Rj>mTlklmPr^WO833?vC%_|{oO}m<nT;p z#^gJzL+AxNah&%0Z5D2Dz$6Rf{9HxE0lo82k_j%kiQSFDfS6dGad<*YZQnXgkD_Mo zphE$+Xl!?bptIZl(6bYu!I^&F>tPVJz3dY8Fcbq59}zxllUcmOJ^s(e=rV4$FW<1* zG6WHvFrOc@ED;a;iIe<W`mRui$Y|}ilt71W?JZ(VgO=9``?e+Jq%aNw0T$;73N>i5 z50&(HibHrgrbm|4<33_dJ#@nD2I3L`n2Y}wUx#G`sYT@u3`}{V2_sEq2Z%Tnnf<B; z6-q9(i|<+spZ>f&0|GpRMP_zF^yfb-jE2#Zy?p?8hCb<^S;$G7u#?&kC3g%^6CBo1 zXqfhj;`4&=qnr|-4rB&ClcmSENqw&C*{?1xz7R}?S-CA52@Hww3ATqy#gTo{l^HSC zCCd!XFl+z{so(XE2A}bkH39Bd6#TQ0l~bXIq2<||m*8vi<Bfy-^TxK+c&pFUD<(9c zLz@Hfk$q_E*TEP&B=J4>b&_8iYqVRK{~tP=)rhUs&I_ms?Psh&+OtEFIl)vW>eLd+ zP~uB-+pB9$zJJS5*om`KG+<GABK`&tSL$ql<AAX(tqo7n6A<NCivki2Xvo#fRf>-b zIT;aL;yf)cs(y8ki1EsZaDF&~jnnUqsJM_sIV)_iHWI=<aO&m&%6c+MmQ5KKQp-aA zeO2Dj#zyqbv#2E?>8lu@J%44+ZnPg%<ZhTTcSOsE(-4UQ>Z7#73J*~eQ|YY-`qvRO zkD#-#S)t8h=$9+<nJvOS=Wn{^Y0108`LGQMZ%t95PeD!SJ#viXLHO^Mu};12trVa% zR837mJMyFbx$|F2m8*n~CySXaDI?22X+-o+-=C|S4?di>f4CG~8v1c}y99IKEf})3 zu5zCpS?1FrMEo26a`qkN&bNBi>8hoWOF7D$*W;RwL*Ce)Bt~oeU^2&$k4l~xiK^u3 zc(?lSEEAym-C;Oqu}H}a;!7Z<lKo+nu}Kv`M5-=nH5r6%_m#ME48yhA7Lm(s<JOTU z2X%NZuXBvDpV;PaiPZwSPv<Sg0QFi;K`vC_>~%l0booO6nCV=5ebE3VZ}G9uwv1nH zy6=lyMhK_(rIf-bBjE<ll|n6vLSORHC#AvbbezoCISjZ@(Rs};S0^GaY?mRRw5J6P zmt|$h{gtAWQLu5&NcV<E4~5aB@^v2#*Z!13#y2y$5pKta8*>Bx0e7A@mU9rVSXlzT zo$CygQs{WdNHx4KRuzDMpx3x89=tb0&_ABvM5V`aR}(DVikhVMz0;+@>36hvgY%Gt z%l^@FjpE?PwMwHuHEYu%8c%$*w;`UP$y#C{!eLt8u|1CND+<OI93#RZmBMPK^No7* zOY-_cH2W3)8G&@5uq;7=4?A)j9{(-!Pk?V*l>-kfp&x1h@EA1k59}vWYyJ(<pKY|> zXr~1rr9&9xX8Bv!5-W<AcYo(ry^z{8$5#MY%)BnfCjf{V{q>@1p^{UULrK@(7peQ% zbUv1Ke&V3C8ft<h31)!~6(vJqcS~>~p0Y8w>E2I+FJ(>UAYSOG)n}i9gX;^g$_Z6S z0G;^XZ$+V3)}&&o<Yv4hf}m26$G4-(ATE8Tz7<E9AeqRhGOT9ouq0Qb`(7**)lxlv z-K>|)4+3V`fb`VHq}u)WmXycbbmV@fL=|YQM22ONDNPBmtLviT`7P?MCi7xEyFVT$ zSknLp$=5*mXZG_`Xgq_=d<9t$u-Z`*l_De{YM02(Qw%7OoM(M$W<(xNZDAphFnom` z2{>%!5dNcG1xL+hBeBXz8t`}8H<v~-0#uyIZa}jGJ}gcU^8t8A<F8-=F``<vB~r*p z<Y2{Q?ct{{po|3m@&!5L0Z31I1$+y7kB+TqfN@;w0q}%L7RyCJkl})$gT%}x6yUw< zKJ$~-=DkqC^BAYDB-JhsSv^=qt$mhKNYTku{fGwJ{9j-S?##(j)$9Jr)^Q`ca*R9* zi<B=}K4oO?-9EL<A(sG*A)GR-QhV4rplLEY=+Rd5<^YHPkL_Rqme2YkoBS<0+s&~W z<}wPf1xS#|!m+`GcF}iTxUG}BdUy&<6v1`?hZdgrtXwH5ev~W6WI?Coz;~^9oHM6E z%Uua(0tBnc#x_E&>|miHe*i{V4Uh-nF)uurC6v3mCx4~uYE&0bH=FI<f}sRNuUQXE zv%TEc1>;bj-%-u4d?5gfQJ^QKJ@DQ#(}P^U=4F|yH7gRzM#7YB74ySS%i{iu7Hn9! z4@3YpX!pHqPL02l_Dk7_?e)&=r!AfcU!@)&>!7r|F*5zTz)9H-`J;Ye6*}@S*9WD9 zF}>A(-D64?*9s>r%E8L==!$LS@f17k$@hJ`VeWLyi%<n#DnS&fa|w5pOUb+BJ7SyI z9<tOGus><A#r$dSG;|q&G7G*ZqVa=yOb~VcoxyS;t*4D1GTnVcP6zmN2$nNQ0R99? zWj5<hL?|!ua1zcV-Pwko2E~?y6&grzXn6SSl*zcx7}g!{dGG($KSALDpeQ_N_Hn|N zwGG$b@-z;^=Ri|pz~!oridRFeA;lwh`OL<3?v=s(KzQmh2G_!$t8=-j6^~mW^|D-^ zy<#>*%q1V^cS8fa_g!7Xn3F6Enw6Jl2;bv3S631uDBJ51Mc*kRyobMDu^;br4^+Jz zTva}*^m~}3$)g{*{Q4^U%~nSZCIA-j)eStB6!-Jb4(@JQ3Lpta0|o{SUlEQO_jBIT z*F8wx)v5Ab>XxfJ{8Uq!^>-`@s#~-fatO<;QTGEpNq+z2CD(Y(_Zy_Liv|E-OzY`8 zgsJ2j-Dz%}U`)Ki2J5%!H{}jqt0=dB2)tc+M|@mb)b!4CLxW%Zw*7DAO)DK=?H@H; z?40a^Gvp05L==n(emc%Nv^94<`>o|p>OuF|++1x$^t`^}&A})>cyl8lb%cY^Tj|R~ z35+)|#rs4jGqHwWSBg*lNc3nZEM6~uxAgpAtaW9Z%D&-FSm|%~Z_A#7u|hd!ik_NJ zYxvY*kjXbP!DvD1^4s%Q>Na2nyXH@gMPFwA^DbtM`(@DMbK;w2l=i^;f1*97M%)g3 z4{pfsb$7i`pHKF-^th}F8P@g$e5C@wJzfYb83%sdG}2mm?6Ms_w$t-K<~Y;U)7YTF z?XHndU%}7g4~mbR9^)irPF62*^Vipjgh^&n127?^1AeZhSEc$L6PPTDA6*!r8C-Dn z$ePz2^UL6-4%p4(zV6K&z(p7#IG{+iquSYyzEa`>Yvaj2RvOU15a`5#zw<lg(j5ks zwS2wM+geoAmfsJ>gH^+d7eVdyqbrM(ImNTTR>Y5uR|0c*_YG)%Y#eO{E+M}q@%&TK zgIz13HK5gH|0AKiSaRZjfH@0lo{vR#I&<O*>Lp!Xn1A1`&3HA`ofu$luXA~LYk@NA z_&QMPjTSVEy`B1u@6pZBcUjbcc#XN$X7<uGFuzA5-F*cOi#|s(CVR?(1s6T<kqoZl z#a%b2Qu*4Hlk*IQjxB$sMwR+3ZXK3z>M#dZ$7=HQ>wS;4Ya*VO*+*`W0cb6&NZhfu zy_}DRF_ql@&2aohiWUug?acQ7zpwu9oB!)|2|NWD2JyFwRO8)>&cYvh4hqxc)4ag= T`!R|CHr}|Vt6rjN75x7IIii?0 diff --git a/public/07-basic_statistics_files/figure-html/MoransI-1.png b/public/07-basic_statistics_files/figure-html/MoransI-1.png index 2ed344242dbfe84698a2f9703022fd314b206ed9..768b926e0decce30295066ae3409d20fe673fd72 100644 GIT binary patch literal 17446 zcmeHv2{@GN-~T<MNe$sdh%DuVQfNWenKsL589EgeMiFfcmF#9prIIb36fsJrjx14# zu_YmCEZMS*E&IL?GxNO94B6`XE${VS|MPqQ@0sf{#=U(%-_LismuDU~4fpFULyMsS z0Lu*YcO3v=G5nD$YY7+p>wUwH-{4;@hI<e0hJOQ~0f05o&;T0ndjPObg8zp9U>C4o z)*9CE6`%o^2h>=@O*P<)Q)&&^HSAY_bpU)NS;GyI;0p@S00GwUr4azvu`A(MQb0fr z`z<LcAPN2e1=Q38)IdqrAjw)IDFD8#*_CiL=O-ztCaDI#pd<(?D=VuB(5MNpu1SKg zfSRc~xHr2A{DR<C@LLT8!NWl{0Z>g6=P$S`yKE^-wi?!QslEP@3jj!Xvwsl&-v&+s zAPo$5Z9nMzu&0h``Mch|R)=-loG<sM)_g9$`pC^%?bD)=ux$Yj(rH;6K1j15$Yvx~ z;l;rNb<wG9>N+&4Qr#<GrhVsOZId`J0w4t}u0Q~wDi6StTS!2P`1`}pNg!G1kogvS zH7dP;SQ8e^-wg=RQI+~%ZkyMIFtmFaR9q<eh*jn)qGvy|BI=m>sZ)A%S#KOGx24Z1 z(N4^iUkIyQhi<6L$!2~;q=m4q9gt(JPs>BfKhQ#vb{c`~i|a_yHqA-`N~8|_iFgmB zYT~2<DWTwZuuTXhus0ZaUvfhe%Kq&(NbSn}s%Kzy&=81t(P=iXSp!E=_CiA7wjs#A zDo=XfxF4}fX;~~kT3QrMLbiu2uH;4ue99g}P$mmoO742qIFYF=H^=4)i~cgk*?LT< zdy#K$@CH^(<iHqZV7#o`4afi3ry4Pu7gH_wA%l{to&Kuzb93%?#);7~y)s;_iw<-+ zXo<g5Sa~QW^T8_@U}uFF$|_GZD0Y*o%xLZymQ%%4FrsaFPuia1W}rewwz{US`Zm#` zrWbVIeRJ!uO`Y@Lx<jB#>I{q0bM2J-CB1sHUy|~;9ALV*g|h~;?^?>0@!Lx6Bum9+ zSiNbsX?s7cX)BynSWaeHjxfE4@{*~asTeW;CW>nc<8VRd#|o;_dJ;5tUM4G<V2lgK zUs5vCsM%>CgdJ6~*GHW5wLUvoaKDi3I4Elb%Gzm6maT&BiPe1TNC&TeahCQ&E@_QN zrkv~kM$b#~d*ss^yn#SA(dNCN%)ob{?A=Bi3pU-INGux~8tsgvL9|0RzLk^*j7#oD z^;5-(<PpIQ4uVD}<ZDm?5YH+@P(zF<Dv+~O)!9aQLm#7UOBaU%kKW)yORre1E_ovo zTv2}x#G=N}`w%2|26y2%W3+T}YC5&@q;iqiFe#t1f!tPdEvt9m3o`xy2qk95WRA4@ zw!e6EZbepjW)=&nf7@EdV{@zD+qkX7!OqIdEjzlEU`2*Gidb6~QqKuz4d>H)X?ajz zVPWpuAzNl_ezm96e!Fd+ZmAQJi8-AuG-EXbxLHfrGg^B~QIk)_XR4c2rY~y~^fjo` zr!T|tVfQ%Qo3>PIviBI`I!?z!Tm>rK)A8t>2)0)#J`>!DJhF#;TV1@r<z9TQ?-p@X z{K%dUMPV3QBI3!K?iA|?UzpPfWXh><H8oF$i>DrKbkmoVl~%6%Kk?nH#{Aj_$-@R^ zv^K>M`(yY2@u6t@S?|^gTWkkg=R~EWD1E6w1z6k)*n;uNpfvLIGu(%BpFLQKYQ)P& zJbXGtY&^f#BlUHw9Ez~wuzNS6lxtn(^IA8(rW|iQKd>*vyMlocL&a+a>k(N!qeUOa zj;z2AB@NQY-tJwI<;M}zr=wYMFIlSYocp9N`GMp|YeWl#oFsDT`#pQ0v+_b^t@vSo zk1$V9;WhNKQDN-ncYbFVf0ZX$@U181iqwq{B)1x+y6|qq<$qh3I@(yRCyok8F|tSm zt={{F@XP|6^)QDhlrrQOjrq#BRgSrnESIcvw+NXJq4-=y+ec4@RNvX;RFr;vq&WmS zjAOn|M+MxDZw|Svik80b)w{^9{^>T#r1iiXU*AlJ&x(@HDXhlwoL_>KisP+^S$)Ze zi;CU*PYhxA2(uM31U}8@2X6MH8L6Qaw5P==l156-)q5tcfVD~1y>x*kQ9(>Q0-c^j zOG_NjQ{l3OL(W^9cepF3byVj8p{)pM61K?)GR53DjDPK+$tsW5i>B=^MHRb$`Yiz@ z5j}lukTz(GW_&@xqZYKqq>{ZM;+(%M9*j9r(@zgnkqbwtcF=2Kls&O>DzLKTuK1d( z5Y~V7-0)i{^3<wALM7qGpb;o|v??7Oh*bX#@hPJK=L1!z3vA?(_L#P&5;yZ(dCWJv z@Gw~k0`jN_ouQtROl0(As`hfpuP5zSLp<fNpmp_}TlUlg@r2-r^Rtcys+O^tsU?1u z$Pi{3aUxL|AHq1TiMDv4w&g|7l;u9w^Ec!`o?Gia`9_`T$q*cm(sn{B@jtH)i>C%- z5_cnDi%Fmx`bA8SiGK{_k=70|b3#Vt1!f3350Jv}IJL#EM#@IvI5ddCZz<MAEV@t? zmeq&Xo*-nN^T=j-UsmOhiSfQ13-P?6dwk@Hn9RW@qb(}QruzI(UxE;B$L8$k(S$pa z`&ymi2*>bg&Br5rFs^BviiUA#Gk(?IOqlhtb)@R!_K5?iW0{Cw!*9HyUwslIcV(mB z?bdxueDl18**;8r3ar~&86poG`Tg;6#2|^Cr;R{jX0N+emtL=5$<{JC%ifU5)S~1) z^#f(9JQfOs_3vV*U3g-d1xu@<fJ?nz+cZp6sa47Ya&TB;WsYuQR_xjSQY5RtU~o6r zS0PvoS&8H_dJ*vnsu+Xw05i~)eskFHBibT-f__Hp1+q%4=;(yiCweWJKv|@BW=SC- zwJXY28{^CtHytrY(?x3;?@cluQ<<&AmmUVaxeXOkPfK5G5cw5J5*VTlVrycbJgKNH z-&TvTQTuKJvPzQrLCwJ5dLx|a>P5VcJ^ku_q&<dQ;ck9jV|HA=G(l%eZyLe9XE1Xt zW7V(|Wa%OhBUM<G*fcu0Hj;<OB9BTt1d6(0H)uxrCii~Z%f~iET(>%-aPa<K<GwRn zyMo}%qJxIK%cV@!pk6gKmRoa_iWG0a=g`{$8B>`oOAleDeYTq+=c8m!x%RPpkxQlX z&U@u*dowl_e0W81R|swlDv$2HD~z3J>!T<n2YMJIUM8qPr3x<|2?=L)ULKRnG~K}e z#d_qKZsI1o)u)opwM=Rn+M;V^bpbhP^i;f6{l%-pDqN@8Qy_+SxU;WpO!cipn@jW7 zu=K75exG1Q>O@WV#+CRu=8X=Kef7&7#v+IG2y!&{iQa%N{+tc#NG((v(<J=RXc#Kq zIjErVD?XLZm3;lcQ9#R}P*fm90aD+uwWhTtXcG;W*)otvNaKkZ(6FanV!a;elK#WV z_-cy^*GVDpr}}u{2-s@~wmmK>tFgf-Nns2S;Hx}XRl>M@&DXna=%O@M1Vyq8$y8}< zDQQU5^ZQ=%)iraa9RhjL2yFY)w@rB9q9IlkMQT3kc8%`#5F#m~LEdPuQkk9?f1eiX zlmrUPhXP=`5dZ>0e}DK139;7@QAalEE^as)0X}Zp3@VW*L%%>oim*KC{B7Q>H(117 zODhnILPxBU;j-Uo2)>D~B%QsCl+VitraVGeb=}23r}xz9h$2@l5?8n2>k}RseJ8c0 zvk;?8kFMlp{k{?<AmC%}7x-ue8k{j1hULT<0>hlg!IoC1t|3Wc!s)AIb}9&gFY)cL zw4;we#P!`udHKa?6j0gVs;+zeusnEvyrgi`=GQwA*k#{`>i74!0@q|=U@?yXfU4x+ z(E!7e90AMuY2|-g)I8MDIteA-7%G)Yoa}!w%D*FS3SGHG^`wp0A8B#XtPR8P9*7bB z78fhYR}scIFc9^~SO_%Wb3M+xXs8bp$VIgwjJ*CRR}5eJV;Fg7Pf#5H2X5BT2kv@b zp2jp<G*fG8h-92%lHa7k+S<6$p<)GCt+=l`E43wfRSErXSMg@Fm0&BmP+;8HmV6s} zo9XC=>$L2@3CoTI)9k$sQ9~?KlNu@5hlLmIY(C$*%DBC9{EF)pPC3%k#s<dbz0<dQ zs3QeYzg5RxMF&duTu1tSs$#ug_lb!wafxKAoM)J};BCFj<|0!yXZ*T*IzH^#&PzVX zINiQtYVbd0#M93l&g$Rf1n^SR?flOTvl!*o)z!^Il@D2!KQ$|0jU?i9iQ&-bt6=ig za6>>Mj*J!r^ZUp^b=|(luaBjOH%vsZxylqShT%G3DN>)_Y)1fAxe`evC<yXSOw<cP zM<8N(*etmsO#S?s)wY<R;42Ne*tqFJib*=CZOLtL-gx8e6}E}Yz*z$Chr;bMSVgkF zx@EP{1gzs@4sW}t%W=2;X~4wr$dod!Df|{Al7NgW>_u5`cQoSoar99DBS>(_BXoFx z4bK&)++2mnqWc3Toz?a&4g~S9&_>@tmG9;Z7<(S^X)j@HCDY;PgccA!C^E&}Etosv zNc+V@AV^o<eUHUV#ROr=7Q4&45f3TVlOtzM49%vnOo&&vW6=IY;e#t-ACODORpq9# z<DtXjonpmqm>PpV!Aq}TH2pYNa=Z@=mP9O_ylVE+2Ub0(UatEDJWvC9Sm(G%*JDo5 zRTjeLR5f4G)L_5i`GzSqgurw}8WXIH`PY%o-sXg?X_1Im7elgtR$aZM(d+%T@ewcv zcC;RnIKt8<jakl+q?u4?r-pp>y&jI2_R~>##Ed%Y{kw;%t25s~Wt=hpCC~tRGPX3$ z1SarD{n?pfzpK>@z*3nREJ2bhdH(d_=<#qke+I!5y$@G9r<jn_-u#_@^^U+9&<6gu zzZ>!U(0}869Q-fx8SIXDo@kzR_Qs=o(>>brT@i7suOFQvla7qvACULd46$<~hyUR5 zr3#Y%NYdhtt^l*gdl*+&`0F9CUc-+0iY043-`&cK1QFXOG^~Q#mt&6SHXDIrX%C5n zJr{41<C_NL!Kr`@zUsB9?{Ovr&O%_TKHj@~xmlCkOJ^-K5PK50^U_Vl0l~vsk|;y2 z`2wF`o(4EA@=KOsA;<F5LeE${|Hko^X|XEGU(R#9Yf3OlO!Ul@(@crRF5`VO<z`dD zBNl&G_~+vP*7tAw{_W5I!|{7as=7Ug+}75X=`sGLiJA~Gofp`_X<8SUPE<8{JDED{ zpE$3gD9}uM)k{tK({6EiVw(+T)7(I_@cn$u8k;T2vd|{Ri+0WV_342g9?ClXWHp_B zJJTgJrupDTc$%4w|JeHc>6M)lT^OFCW;21YtyN@{S9a?%onWu*v9<n-Pi%Mmp3t6O zlJNV!&QqV0%;drAHPiX<_@u@v=B2v?EmsXuJDtv;P*N=a)Zk!QO=aUaxx?ueIpL4~ z6J4*#wHxgdTaLxgCQN-{Y;;tQ-GsY_9ZAiX-_(~1#o*C{ja6$CzGu;2V{@Dm<@)*h zGOAgoH+?#s)F<igO_kMKvTsSEenTt~oc7!R3ZGt_U6Dq^K%OFPa(baCbloyIe@@a& z(@kn8iTl@3Znq7FZdI@_VZ_X1NpVYp(opkci%T${Gm+KV-Q7Jv?-Hh6MU~IV#Dg-S zPFQ+ooxj(-;shDDWOsEaL9cHW56_=-GI@_=b(-FgIO$nmXK5<JSueiJU}|Pzr}-Yy zY6gupRO5Mzoc$(C^NQKAS(_=UB;>wIcU_a!R`$+#klZAZ9lL4PZpmE_vb=)Yx}+48 zK>aV>8q-9u=Y|esm3tL++;VqZQxZdmB2(q~efC;?2;8hBjT^GUT=e44?wg+BxcZh{ zKm48WCF!d_Nk2NQaq)Yf<9UwTCNM$77er<s^mSrgmQdD+?6mb)yGWR8he&*B=5iaa zyhpq5v?#6q`#?`(a|&~F9H03w+32<uS^;A`I%BL9J~_fS6^fd6S|;Tjv_=5N_-1-c z_GGtQ=GbJ^q|ZGi<bdz&knGT@9nG&GP^2KujPZ3AJa9LaIo<A17ujhYj4JoRZs_;3 zFnc1o;_3Sd-lFC3EY9Zo&_)u0B4cv4B5%^O!sgUHcwS~tjfyUUhRy3JPyK7P{><n3 zlX&HbT>keiYjrP`ILCi(d8B14#r@T+1yzp8eko{m6J7~S;SAN8fO?1crF0nTE|wq- z4|XU$XDzi3lio8u&j*WDx4lWT+gHELS$6PBC)uK6X~KJW>A<m5@D-Evpk}i)B9v!t z$Q1mfv7HSHh+TqDo5(~>P0h)Hx8DYE2zf!O-1Ndkc~G%r21CT7)=9(@A?+8^^GYux z1)k2Rf!#Tw@vxpNzTYxU6B#Rc07$gYfGCb1J05Y(=2A|}y4<?(UBWKGbL*O!zz;s= z9J{8(BjP-#W*WL^EuEfInpZ)ibSV_<o`au5D)WTBEse{%>}0a|<uwaAaaV7TOlRbz z>`i5$1zfg|;FP--9f6ln?3K)0k3R0=lD5P|;#nw4W?@gt(spN5@xFzID0M<QxpsdZ z*!2SpPp~Evxv<zSPcZwsKW13+<gtY#-El%nb=<TFo2w8IlLtl<a`zptY~ZZyenmHw z^f)@n1FkuR@NzHE>E?{>!LriI<1J>7XYBy5BSq&E+@--d@5!o(B1DeHEpp|Z-@T)& zzbB?Tl9-{h&86%@#IyXgUC^S${Q+xXM_?})_xN>xYicCtxt}Z+{()ez>K2LP`&r*E znu4IQ#p4-u$B<Gx7pi)RvbH5?0K<~Qfi6a@U)VyH6gMS^lsPR5U6IwIo$fa>YVqv{ zIqn!zK@V#PDGF&=IEfqnAR$AhiURiH#WfbXz7R=%#^2fg;ulKV)iL9j91qjH+^59T za7FX7?Hs2JNa0gzqas3uvc{nyWkbO^27qUZ0!zr7Du+^@$Ro*JSve<8Ry#_>rpt*c zp^opIA(3>w#c>;5!op9)Ys(xn<@j~=cUHHIV7;C2W1-eN|FI3>4S;U_+8GqnOYa|e za+d9<eXd~UZ@Ii|RvEUI1(nF7d1nzvif3Y)omb|%8)w0A!V0gmfiZDT*?q9l5_-|P zP(ZSc6&c5kn^<~h`48bFlNRs3@y5c;)+1g$ZVb%%zFwJeS@yOhnP5ecx&O<IZGafx z_%aeQK4R97b6AtWd5`{F>aF5(O1uj+-`Pu%P;<JDVt%=;hj=inTf}h!T4<x$_wNEA zcwHn(OXqZ0j_Pk8{TP;aiOTg1+`ZW*IKBUx7dLF$N@aW~5&w*JIqignTCas?A?naw z8gDqC@Is=v>IFXZ+8$p>tsde=={)1yQA4C_Nbq`&(;1AuW+=UIA69mFUIzP;uZZIw zYt3WkTG+=`YMos;WUy#8eCk6H<@M~`^f`4dM(oZe4fhgvX0n5L|M_C!nPI^x{raV~ zDLKJTi{|<&7fSlKIsW`Uk`%5=7|m>v$UZmgX2tB75#yi8bX69u?Nc%QeV#|}oG`+A zH4YU(;_2FN7$_1_KsFo)&s|_yK^x*z_@tZLC~t#Wy3NsBlsz+WIC;7yzdlS6k7#ns z8Nv)NnAtRS;ZyP;z7&Vb!Eyie|Bj`4#Hxckx`=){qhi*-FU%{YGHz~XNBQ6*zlZj6 z@yljBh%@u3Cj|Q>ljsu>^mq2@3*E%@jFm`p8PtN`pNCR*IkF^tiS>>d2H9z~W?*lF zTr-h@Gv`0SymonFuA9JC$dJlvS$5nS?t8eus7I;8U_P0H<yg7oNh%LX?dqnvIpy;h z*L@Mt$89m2!%2(L*t;{a2bR??`gN`?hr_bQf>HL_VOgp(w8QdEy@Q9^Nc+$hgB3uF z_sjg?h5f4K6_nE!gcN03W(j8Bo^=9t(7a&p5lkANO3!f)P7Vs(=gED)Ik#a!drjR- zBj*NPBXZK>Cif+-UYNpvj6u^AR!X?=F|y3Mg>5y-OP)#pP>4tG*uK!TcQO%%V06C9 z&*E6|vh!9ra6Zq_mUzfuJQ|a)S<|<C#sh%Zay10Ar(4NOc3y6S-C6T8w-8BvZcBEy zN!1i0A?6f5iOZRtY5OqTgD=&9>+1B+fpI%#T16}le&lQ5zhPD(^?aLj#8LZ|U+)j+ zbE5q?dj%No<z68kfr1;W=*bSR5!ezaauB)-pE<3Sq;A*gT2_3eu=v9zp{!tjseMf^ zIj(w@v&P^XJVGD|n_gGFrw9URsGp5!1Rf9LmT;C$t6CE4!NwF`+uQ7Q-wqS@^0iHx zJhJ#y_Q_M0oSF6=XJyGvf2oG$QQRpW3E;_AfU^?iATQ?O_~I;RkRI_r(xghB)JSa; z%nVm#(W(gKPw!9}=#jaw+jDghPx|i#z^U$EQKl%+m!*Ykl$GY0kXt~N>{Pa2sQ$E< z{)LUPN>3`)2M;};Yni{QjN=jiuPHg~VHL?A<Rr%G*%_)P?8lzC7ntL)lT{yi+2P&{ zMP~EQVg$bR)7fZISD<u~#>pacT$demCO@8zaMrT3UJqQ22w|BzqEh2jaVcjt#jAau z@Hq%4rWZ6)n!5k>(^}gwJsh`Jk+{1ew^!dD$z?+H^<OZnIs3s20aRD62$Av%7Y3CX zQ{#3(s_>@!iq3x$WY1j$i|vPu$hC_uZet2AK!QIPHX4+Mvb*Q*lW+WpwRAQ*IVq)F zyt=K-fs1n5z2S^Ii@-b(u!6m!SrA1poAMQ(;g}k84o$>df6}ZqzdqcKBJ{rBpjz$5 z&n)C<6=__A7S&Po*j>zCu`G<UH+rhBvqvUz+!8+lv-gyh*P^bymwt$KxIzdU^n;2c zTM|mh@B!Ke$ns}i0pCL`^v(^0>_$H*=eX4_bzjIK^oFFXWbDti-VGy)#@=_<8E|H2 zRxte76G6HEkb!v^rX6w+^ewprZ${>^pAHoB@>tzT<bplh;iCla(gkMbX~^wFHOMM0 z&eOaip+7gLlgz&;lHRB-ZvGa*A2pXHtkN0I&A$HY%HC!3hx=KI?rPK_mAe6Vou`2B z$E1FU$Kw1TUbT1pn+_>wUMlCrLlIImZ2%VsxzH7|T6Suo+p#}}+*@G%EP3)aYuh&$ zFdxwChRv^E&AU11wx^-^CpI5}?_1U)eURH+634nK7la&VqUj=7MMCmgEKBx2et`o| zPoN88`Ns(qqz9O{Er@`>s*DqP|0?kR?8e1B9gcoKq^Q59>>sS0{+E&cS2^a-<o;*- z-@j$^znyhzxA9Mt<-cX~pE=E6RrYTI|Icpxzuj3o72B~7M^*;N!3RO`7FH$Md@a0Z z43a!jgnFY>KbEM&HTZt$X5NK>xcZ9d5AYVVR3`cusBqih?;dtzUU4M2$Uektlg6jV z82iGT-6wjwi1y|1%?#@H4A*0EVw`>SZDjG<DN!Ry<|-UfD^U@9w8+j{-1JUc?InTc zHfU_{)bg#o##LZV`ez}M;(&Y8z^az$<Pqszu3_tdSrh$zvwFTUp=<k%VU6EG>I_CN zfey!KbC7VaF74Vo2L}I+CzTKWF^2Rr@Mc_Ad-Gfv<?xPsudCHuB!4<^P5|WRfH~B> z`SqrbK%+T$raAjZ<mfnRlSL~37|x#=Dk`>Zs44Z1<acHU9p4`z{#ttB$&_Mx8GiC4 znZR(FY2pSQcOh2Y99}ieOJJM~x<UU*oBovA{_YY+KyQt<-n2d~T{n>1mUpNhm_jLo z*AvPL)Tahcks?XgXmVjU|E~UY^Y2PcH}{{mBi#Hk@Y^-ROn&7rDEnVaWv2C=Mmk3k z4$|+MP9y#9Cos|@nc~@=BYv@wcRm};z&|3@H(9Qk>i3(5+>FLg$Z_>0jt5KCXO(8U zFYMUS7VUIV;*X2_XH?h6;L{_!o<F%TtNjGMQ^HJdZCKC@0i{&qzIKiE9S^6?onL9R znQV9p-5@$`p=sQ624Pd!Hs3sR6kzi|XM8qeb5vndG6y2ZI<unLe3oDE(}5pLfo~sq z<2JH3%prkVP{aFWBWa8(R?^4bP|qL^^wdE&)RgD=_RD47_28NzK>l1tB-tyEbzLDi zDrhG(TKy@efXGW+KfyQC)u_r{55w)xTo#<Ma1&kb=^ygv>m7PKGWNf34vdS8r~A48 zX1syq6VvQ@VCmSN4AcxZAyt|YwVkkn$71-Raup@J?Y#1MMoS4+MMS-O#l>IQ0X#K; zi!P2@Wl7ArHh>vRw(B$Sc=-zo1UPhG2tfiM=jXA%lCtzv3jH~?G?WAy4DG@_6`s`R zn@?|;4^O&)9g*PU4?AQ4^tL1JMsG{-DcE;7=lfSoU$z@X0DEP0glSP=x^`U(m*x1A zCLEW57|JlVGha6@WQDT(Cy6X@<`F!kWOX}}9-Ww&nAaAk&O{vC#rgj7Kl$=^!_fwp zpM0_TAATn~VKJa2=;-jZthL!zQK>}Yd&wWb<x;THFH}Kau(|6x-Lcu))BODP=2mp+ z`|;G{o^>e?$iWXAQ{G<Lx+%l%K3>hPwGHlT7c0H*cAR)?rEe(x|5kT7&;TcuzvTJQ zwZ_!_++K}!YMMICk!+{Tv5-99PYt7=gal2U>$<~f?d3h$7WO+wCnCXBiUfYQU{0ni zM%z`xLQ3}J;$)j=_Z!}IS&uP<$t!t#k1VS3M;1G%n@p@5=qT|)Oe(M2lA^sOcaey> zT3TD>_@{<v`%<*!!AiUo?_#-Tnh*`Mw>NnJlT+nw@F2VA!8+NL{?uyi%nloKVyMTN zaUY|M4QT9#T#J5YQ~~s$J7qGI?4iaqyW?>`V5O<&v-?dP*^0qXFWLRKL1Tc%=8i8v z!Vqs9>R{YDnkokIoUk8TJ*m8UOG@|NO*z*p_gQ-?9Zp{Q!kj2Xx-}5z<D>Az!Jx<& z3f$!W&cgu)ank12N=1qtUs}Exe(g1+p+oh!1pJI(x`9ZJ8`)V|_o%gf^@9`FdE!EI z6gQ)ROR#SZzmjTPq*BmXZ;$(TSDIdWcE9mmS8Kda_nk=)P)@m|7&K;*z#p{Ps|NGC zeWT;W;@zq&6n02hAB{y##;-+3h_mIr&6mYJ4Pf8Y3dq(ucN5vp7Qv;sxiPBL2&}L2 z-e?5s;NBOC8M_GJF*vs`eBCy;Ujp$}-nLUUiB6uz2{<m6E~4s;a2AVOFrGiiS;$b0 zZN*Sp%Sgk1t2{k~3H(T%Hou&;l<a^O$&StTmQ0@lh0E)8xGb(C4PQY^uXX4A8oso4 z8Ei5-J$=<F+OR(2c@>nZ0+*ZfJZFPV7)le!pc8K)173~&p-}C8nj&_JEyt?WNnO-E zYQo%NixBB{u8()0dynhrahNhU8?+)N_7W90O3zdfBKgIr34cxTtn${h;+#s6U|qw8 z(nPl!Ttc9vTl{^Kg-=RJ%5O<2!mYjx*GUY8W(13&NM2^z;&_9cG@oP3s=d8G^4c~3 zt`CzftDX5RlCll}68p*aEAV3j((?aDJ_r=G*F~1W0ot6W7VU4QO&cjsq}~qa%a}|r zZ$lgx0#{r#)tNRKWaF&%Zw;OkJ|g65$E?0dEoomQc0;h&b^0T1R+S&p#NE0Qk=Zvy z+KL8`+&z><A8J8cSwtywU*d{!&q0V!o@6%aAsL{HkiP4a`v^1YQVTHqSo|pV<Lp-l zPbf1^(xsYJQ`G5rH2Wc#B`0IRhfHLxX`O;H^JGI|bWJm)N!j9Yj@r4Uux1>7mWrG? zFy8D(_0Mdm7^l)a66s!u?LuJ3+bWivTOv?A>@P5JSEB)b9%{!$=vV^K!94UhHU2w| zxFup0iexA&H=gc)R_csURwsiT-hYgn(W2Or-C3B-V=;pA#cu_Ngusah;R88Ro_6=L zn(i?Q2DELx$N1aERuHs4U0`_Q%>ALE&eIb^H1pe;V?hILQlI<Gz!Mm`HGNmSCRK!= z`{=6X;6h6`hR?fUEDb5uw*vrVG5h}lY-_-O>RV?bIWA6?Qp@kgvkD<D`AERFMNV$f zR)3on@$j=@1Bh^q2BpJPNmkORTpJm$lArr{J%CNJ#ue%;8H}xuL5>f$(e`r}AX6UJ zc@D?<;3bx$vS0D*$%9>vBj@5%;WP+_L~b3+*t@Gql|}F4OPmx)vRl)1UCMa}LOQnS z*o3(MV672|G(PLk^%OLSqe%MZFKN14AZlwQX|b2MlP80oSvrQ;OL0qL?FDGyX#{Sx zoM1LS5b1(%3*T+))~T0pLQ*~GBh{TRPSkRPOjve8N{NlN`#BtxtAqI<0;x~xKL%nd z%7hzX{>YH@kBi{Pjj_Krd$|tyGYDnGcr}0eA%v;6K8?HogbTqT6@18JF*GSvu2$<J zypdS>vNV^z4AyIBjjX2F+K%S!_)lMtU&8e@IeB&1i1Blo=^Pqw9c>e#E|N@NwUt-~ zcEK3G^+cS$w56y!8-t0-JXZA@2$QSbMcbQ<c7(zYKAH$*0<08@WFZ_^sjl7(X-pQk zTz}MYlX;%53`HfTT@WE3(cvBLXrhKQ1~(4SJEDODD+hkgrIA8Zbt{6(1zq)m^hRpM zA+l4D+!C5I<Ft!YFJnt|8j*(4w9W7<u4s$u<5o_|nM7o9{r{XvCLn>$A~}X*y1Ur_ P@55mC{#~&<EUx?)Nj71{ literal 18581 zcmeHv2V7Ixw)ajjfFPg)0*Vlw84(3RW>BOhsH3PL#YPbciWEobAe{tI8KsU$QA%)7 z!9tTRB|!v+jv^o+1VNhgl0ZoNPC%*i?wjwud+*%)eK)@la@O8wm$m-uzt-O8oZQmY z*5KpW%mV=6J9hM^lK^l+Upa`}9MHelod=IY|32wzojwfx2S6DB3!tnFl%da1V37?S zLkDaD`(>eQ0lh<&A$e$<1yofTde2EM0K0_!3bhD@-q{vVg>2}}3RMQ77SLNc6e?pE zLa*%5&^Go*c6Mks^o14L))v~v%C-R67RuS7(A$Dt2o=x$WoNf#w?S`KHjCBJ(9jmD z+!kulmJPi_+vdxlv)NUk7YnKdeYCMyP;;!dP*z*^+!1stTeg-d*#gaSt=&;WM*zhA z*?+K*o^f*kwt{0n9XRb8Gu(c~Owcgm(S@D%U9dZYT1wII`=3YdJybdIW32Y?*ACPI zHBmo0i&ZD(#CL4RL%|nyEgqK%b&*dqg9_hoNEc~xwnG5!%ckN0nEJs1E?x=%?%V(Q z^2bWx?j0OA-6P7pKRY@aauyvv#Y{ci-Hv+`tx`kk?qJbhFz>lh0>=Be&^Dg#a)yWU zf3>}XrZ)7By5wKoyoHlzYt-OIqJO!c{|ye4=1+2WTgR$~ZX@a~Cxn259w;_W1hSZ5 z0?`eo#r(#vhVOlCiauaS>cF;&Al6qq^O(Lch!G){da_ax)|SoEIPb7T5E=mIw$OwP zJ=6t#ek~-+%-Qji2)pm3fan9@yH*d}>d}UMFy6d{pJ%Hm4-TGdGxs%Whz3yfM{Wu| zog)nW29`-jE=p7t?^RPCS=0RCKDL6cgW80xJEud?B1~V}5UV5do;0e3mZuEYv{wY} zosO#&86TKR43Wg=PXA0vzR#_be~mm_XKQ&?j+iwx3D5OxS>rY4)}tb!<9(54HcV)3 z)jfMNVqC<kxuL)G;@xLq803kI6BSWmc;~^E$kVXr-bswfeF8rXW{A7xe|t5Us}|D7 zC1GM$@m({GFahh72dN>Em=^_Ii5?dxVw-q7$rCy(FDk=7qdZ4vx{q`&q^rQQVCHNE zp|Y%Q^bBB)l8tcBo>hqi$a#cH#nwFdp2u_$vo#UyJCY$!y;NOVr|cdng*!HdWahU1 z^6UQfN{G<gp_>I_5`b@oG%lbiOO^J%Y_qa0wxWx2tEXfSR|zZ22)HC7ZJKmH*J)Gw z+IuvxbVAkofX2o<GZKY7oycY;>Y12~y`bJjsc1wRLoQSgL}Qc56+6tbQTq!rnA4cH zj%3zR@m~VrM-LzUGR2MRR|4c@$H{x0(r344^vJuXQ$C)B$q?+!vDG=<1GD%K^bzYP zcv2#0VtI>U2gzb@P918I!ii&j+7Y3mHAb_Ss)O_7vak~q%|4%e-k%3gxCh3GN)Xnv zG`)W=1d`Hy{#Y><!8Wzeqwi;O%I^bY)K#1P-q-@VM1#5Wlx<b?_f5R<)Rz^C%I=D+ z-@+Nx&dJ7pk|oAt>Ke0MvFTWOT^&Ktb+%m*z7Fq|w>gXTmUrO6RbgT_fj9y`8f>xM z>xW(^V$JRglVX-lJf_`|fo-v9YZutVZ=GU(91DVTOFjd&ZM5E|IzshGf1B~4<mdyE z9v5GJ|CkjT!$`<H4>F<y6q&{OA9f{2`<;#GEwff1V9)q5CUae=$*-DFZ$iW-0<ji; zG~{tCYEy>VbW5EH3t>UsEr}`UNgS5JUAi9Z$XNto=937~uKU53!7EnwCDo<$=*-Bb zA+!-9?R`}OnssgZ+8|AaH{R<Ub%<vCkSD&oZ+a(gzy+U@RXVJZbB^RaZ28##g$Zb5 z!Sk^kM}y~jyE3x7s=P=Wh35N}ep!Wg>!t_YF+R3J>U#_kdsx4nL$f+e9zp%3ZxcD^ z)Kk(BlFhT#K7r^CtByE9!!Rl=cRA7N5{Nyt;3{-0^L7vVj^d6S<-26~d#1?m?xOv@ zR;?{}<nwzwUeN7_vCk5{TcLR#>ECbJDTY|D)f7t{&KL5ZCe;wKoj;}yw@^6*^w9;L z`@6ajo6iQKm<_S!KV~8e-kVre!24&YYCNVzvVHjX1!B(0X>Si1%Hf8wK0|N=@tWCT zMKP$GBKa3>8KY^lZ8e{D+RlIhZt=c#o@~^6i1tsH4_DEwt|_I85FN^^S&q&db`z{7 zuhFX%bs`7>4|(GmQQ?<hSDAFRxU~h3Koc`OW=mx@{5_rb(neyhRkjGRWF#-A21#>F zpKYnZXKTPzhralf=eO_sPtYF!R#X1l&?%6dMfWD(lnR0$<?kuu-MaU_7-R-THxvs$ z!jWzXdsw$=<_K&}7|Wra)bYX4xTe9{p(Yv^fkAojkF?{ltkf(TaNkJGvVk8LA*M99 zwTM<S5urtmYD)Km;07Uiv!9QMry>*>iL6hSH3S7}gEEiluP#*&_suulFv<WZ#^{c) zfIRZ)<PjAg{AjMAYkK@+msdqb^lCLWFfa*V0%K=wE~RJ;2HrTeuZ@w=nAPs2a$NIP zF%f%R##Ww+WR`m^Q4#XB0u>*0k=q2xyM4yDU4X+{E;-2GCxywI#qgRHA(D}tFZIBA ztb?rDU2jCa$-88(1X;o{cZGA_(=S_RT7&(4YFYj5O$rU@WX7GX6$KRwR)O^LLvH)5 zZx9K5qx0Gbd+=?UU~#W>f|uaI!SM%$b0dX3#lw-pTRWDRXsb^+R<28t!VO?t_Qf@Z zx5?kX1~EiRUaAo`|5GqN+XRTYo!aoSc3#0`G2)Qh^BN8%l&XnMU_*-r+B;6pXSW<; z+`jwK*0a2(GgrrdgVBW4%j-xcAY*6%9>qvTdgg6rsF5cG2OdmG;|xFRSB*d9F*Q?= z9te}Sbi`&+zS;6*n@rK=W}P-y@3A8tr@#8<5c#5AMo_xzVZ8q^%Yb^vT8=YkRw_KZ zhgl<w3&xWS!SIkcB8|BvFRL&4k^kFNu&+FWa^h`*;W2z*-ehTK#FHkBuzPo67Cthj zHu`qG{etqFQ^x$0Q_s_<Ya{)bAF(pRZ$2B@jNZ-<hzuMt1mbAIGtk<i!ecs&2vQvB z(c*uEfn{P^9A_d+?`!FgIw(8~(<!@(=3yoFAdUCZMsk{&9>a-Q$aSH$(Sf0;c~|UB zz{z5=Q|OkHa&d$kl}>)1R)yQDCd4F3QJ1WD%XL(m&s?QGRq^88%9vCct+X~D-Gwu! zP%!R0_uh>|q<MBS-lX;g+-ObdcxTlli4RmVy6!QP^$hHb`!$w+SvrJMv-gC?QT&f~ zY|5lvh>v6`xY>rCn>NYH9+*1Mg}qPs)Z9aQY+EsNtw%$vD9KIp^@v7aNQWZHb7Ca) znLr8TSQU5@!ywL_QVWkFRD81Qk!xrAh#eX@2lPoMq<ak9CD`{Gj#(%u0)~Xixy@3a z<^!Wt4wpu1!`V8&(;X??6^@*7dO%8&_A41^>4Mw?2_h~!-iE5)ci;e`2|GUv0hz06 zs`x|>n71CtJ(iIpc~ycB<@IU54i}vM8?X!8*I|3}91akqz=x!)KH+gEU7|b>P`uK! zu@{-ff|Wz^OabgY)y<x+qXU+MQXu;Ql+Q{*DZlS;|M{|73B+Qtw1GRKyf{A%*h6_? zz!d^NY9<5tB@m%!J!KMfuyL`m4Ca950CEiwm%?SfFr&^mq&cyy-{28*f;(n;o~j1U zQ&)=doO1$Sv%LK_5zO|mCn`1Ab@)h{J*fAAAC*>&7!4`oWt|!1K$hJYD?yfeO8}>M z@U}9j$J4A`F?=lTeH{mwI{6$Nk>m6ui+Rd&`XSvE)`J<{=b()Bfs|XggDekld~93p zauck#W9Z>OtXTuR@8%26IGMF6y6}FGrA*>Ba%^n!J80TdTa;Sf&FR`aOYCuF+0st} zp$mnL9%&LA;nJ>@Sj8RFW1k{3%4{1feaEGA-^q*86FGU}dCFqWI>?NMG&7(4=y`T5 z5w=?hw2C?!y-5%3$dopnxvPTH<3-^1LDk%45<)C(wY9b5;tI`a3E%Pn>p-QT^v<n% zz{;%pav*~17F=D-O#9i75pVF81Z>Jg7;f!crQ{C=MPBz)=>iRkH#ea=ZNR&Ou=pVP z#Bl8H_&0++-8fgY=;<#aIb4IqB+JQR;^7mp893_#qD?7p=fwg_Vh%$=4pAK7^BX@8 zc%SSFi;=~E6gT<(CcN-7>}rpAO?!fhU6rh$)<J%_EG~Q+*TTHHr$GB#8-4^B>dgna z`_gu>Pk!YEs;0q=`-f2z(-gj;064fNZ3Jq130CdnZPO?)Cu7e=+7OuKFh35XWxWwr zsCR>U>RS|`>T^ZL;8a+f*AXmwgr*AkH&YJJ&1vJ7s{Zci9pzPUtIZGk&cPk))8yur zKo@%zc+S)WXpCO-X7DVW&?r{bk9JSNLIRDs7V;!`x%g<mf%>wj2IG($emA}56`WH3 z>Oe`66v&kCRcJQ*7=HmH1k$1hGeWL#K(%r0#&|DdvG*eEna&P%w-TYMra8Oh5b_2d zXMP#7gUSS<vLi6I!H6~xT&l{2Ks8%)+cE1#T1R1ZSw3I7+Ft%*;^r8wbFPnhI9$aF zbhhueg4&-0!!;R^=KKx6EDX-P{0DdYWDIPvhN}!lN1N%)Lf5PsHPqt$!F0QN)#Iq* zx^06saks(>ARzX-%WP4=K5uqMtq`3Ses)}&2Sm)xkeMWNHatcM$mF4Dx%=pPhR=5? z?F0r6UKD%lnS>VxXB<v~v`=gejA@vsKmGI&m{yQm%CkO(R9-w&aSTSh!&X@dGQ9NZ zoiI3Vd$T37`6hZ-z?tnk5V~Au+Ky_%{P+Jwj)7)M9V&$n`wvt=lAnAc8*w#X6!KRe zFE_|PL;>%L=N+r}3nKpN<G+Q-zmoz!n^s?D^T*^Dm-wrX|GZ27j}_p&XPzdhUpV2f zKK`F_(w|oVPWcP3ej&xb`uOie%704%>f(V)HDrVRR$rpRUw!-!iAu{A5YPWLQqD(( zzxo(N+{Sw?B+gY5*oej8`sjrvsXWr}5zUsyv|kd(j>maLhHyO#_8y+*TN1-}xl+z= zQPgCORJ@DrMc=IR@Zwr>Qe~_c2^l29eAdK;3grFhkDm49U0&QLHdyrJy1!QuVj-df z&C=SUHvz?_3{HGNac4OygtKcQF<`S`Y1t3VK4#gl+LI9Ll4blT1l;G73$`B_RYc=% z4u;HrlHBUGm@7a@enXHo>BDZj{JNaZ_$5@6>0m~6SGB>pBnub^PqWJ85a;acm-wYo zae9nS+^q9Nm0@?zz>mf5YCL!SdPC<^6m~#59^AtiZ`C}o4o{|WLTS;WvClfmBq$E^ zh@ysRx8s+WEKSkdyUFoNU;W~5<MOqN?*oyq`B2A(b%kG3tnpye{=;9As9P>;4#~|= z9cUJO7bOBMJH&nrff6$|0?Sl<siy4ZMn{y}X($6@vu($QYOV)f=CND9R_g8NyKs`# zDidBSzD#}uHnTM|^||0DJt#k8Pu^8y5Ar%C+}T$Z%I(<d-#p6Q>sMd&LOWFBOPba# zUhKKPRljNNL=u$Zu`LOWN#G!@Qu%-clpeB)AjoCS<N+&;;f~)E<}$ry;{g%NIspc) zs<a~nvDZg=ovgWsr3cr{O(QMSjpBt>$Ze*D)2g_amE4uV6{AKwPO8UWIkecxqt`9d z7iLkiCA86fXnp<VWuICU-5o6{xv_Owlh2p62B|AECB0gu^XzE3O-H;s*NKHD*$J8T zrmCElgqaW%Lud7PKgngf$__Daf-&%~_7ddW4y8_CU*}Z6Om(eI>7K56uEMsdBKB8w zLE+-$*qx3*g+JuO`n#(NH+N3RBSLkSb?h8yPO)XRSfdLuzq5X3Ce9Yl_8rOHzhZcg z$|mfuRn<-00+<jQqrqzzxoC{>s#M8pnK_aN?-BhH^q(Qy5&(r^#_Pj>f0;!!MToN{ z-et%^vPF?2dvzgIe?V}-!lpaVfLqPDnM{%kvM{$P75Jp^Er19_@Zi0^EH}jaTNiP` z&ND=o37&Khi81iKlB`h{1G5gZ_80ir(d|id%Zodfq@J*W6VoIl-%V`tmZaVFS=$y= zO+5K|D1X0%3{U6Fx}KL2>diM71`jlEWsDBGvILM?HZ&^59WUaOE5CGjYzK)Dts00Y z$Fmx|OxAQgUZcERH`b0a2_nPTsSvFA`@x;2ir+4sIvd;-mhhao0_S#p$J~gO=+FbG z<wpH<LOr>8tU%OGP?v9+33kgzOg4Roy|1yRMU7u!WgoZFwImo=R%4<Lo_V!HlsF=S zJG$D^<Xo~u@J$_#UsmAEX!g-oVOvggt}XSV`cm5h>}c&{ZX9=fK<BeAdWL2zO}L zfv?N7<?aTp+x{EDT@+1n8dNi?1&b?}pyP61i8@z-&`*o=1v1VBNPy72w_qps>Q0j& z^t!V{4lj&q*4ZoAAHR0N)!E)K6;Rw#$W?uNrG~d-_**A>kgafWg$2y9jha2k09uF@ zw%qL|xE`S!yS!V{TDs?Cg7C@)BD~RH2LZkk4$0lOOiL2+Pc>SERu1t~EKzmCbLE9$ zfCwqD$d$n0xDYWc|JjHh=vkZ^JN5i;)Viw1J7<cQiVBTU)%g2JxVqR<ID?3{mL!@= zg9ghJ>ok?(5TCu&8|Jhe+(V{+#FwS6+q`o8?+os{TvwXy>$Zm}jPi{ow48%$tWaQb z_wH@@Al5iZ754lx$k)HgyAo;_WfH?&)<g>v8*lWq`K>Yl)f?0dGc(|#EM-#{G2NAn zsZ82%^(=Ut$|t^TaL7HP_rKl?07Wkz;_~2Cc0zrHn@z<M1w;^bwXwuAi~g5(cRx+m zq7HV2$CS=;6SZ0j$nCX7z3HqH{S&Z2rWaAL`12B?+UZP5F4!R|htRvRfE=J%k&#Lj zH@zw1_iSm53C<XuFrRdfFQM5EJ~k9w#&4?#Z>3;<>G#dDsYB3z{i6@-+KbPYachm^ z76ve9%Oc_WT_(Iq@CC@Rk-sWre`7|aTpr1Z^!u2hgC9)1zjlSqT7%O))g)A(34XtQ zCGX^yIoME*)-UA@cE@ddBgRuf!4@aPG7htDHgMHQQ(lO1z@T!54+l?DUkF^dNA1(F zv53&UORSPf9uo8Vxnsjk8rZc&>zAhmi(Q45uq2Ryu77T;<49VPI6V3Zrka=UH2S1{ z61NkCoc8^?skAJz{IOo4ow}8pfVRF?`ulDu(Za?(qT7r)rLE*1^MY-G?QO4Co)QEf zTO1-gN7!x)cXw13rB7A0w4j4n(<nt)<MOQPB(zg4p&FG;n=I};(5NcCii||7Dm{oX z{G4^tWriD<0)!1}?Y30bJ{t}b{+EkL01<aw;5j2>J>tu-d~500aF1Rm;7l@YDTGe( z;-^b=ztf%)n<FuWrCRNAHQ1|rZh5XWm4M?c(XU~N6{5502prsQAxhVAM4_gqN2WFr zN1s|6txBUl8KAbvnZUX<N*Kt275olia7MEMmNRlLg{8Y9wB<=?t|SWMkX2YcZ${nc z#;AMK_w+*3D&A3xn09$Q3dR_3Hn_m`7jp-8N_)r5O%2N%H5$??w@&~3%AQV|DIslH z30Rbbi2CG<^$^2zE_1i0ajj0vZY*6fl`DPrm3r3Fu7S*Ul0dxMp{UC+g*u+1LhAPL zH81xq@sHz0o2?x4S<iv%p{S*P^Vt)PGlY$K1Lq}<^3&2>ocN6*jJgOS;z{V5t$zS~ zf1h^euB9Esc!^~6;r1fx3-$s5j^ssGoC9XrTU82n=IKt{8-jrAw+7<N+<Et2=sF3f zCKS3iE|)7s^t#|SnXF6UU#<!Hh^ok%K_C86LUOdliIs}{1C!lKFF?7UL2H~`Syvg) z-Fsk_5X1AzZ>0}z$8yAjr%Tce2)p-+W=n1_2EINl|0M&=cT!uOPm_=W!QRx<YL$=G z`(hTj6v`5#am;HIk>TC7RR{FHYIUceLVc;|u?g)?7(zF?a`T*n{P1KApOgHNJ5snE zF8b{Wpz@R<$DDQ~!{dEq%Z?f&8=<C`SMHik;#BTC-GrO#@!0mHnNleUg6JIo{5fe9 z#b8Sz_v_Q~eve;p&Y4$h*MU;GBjYorPC~>S9sG%|=R8jJD;tY)g6*fC-&%iQ$soH# z5?tvQq0D4uWl<=shVPx5{H2p?cX`X-E|<Fr(S<qR90u>5_Pvb>>>3Yv06cY<&v{v6 zR`CJy-z;ltbN|J_>&qJAd@1_fpJ?Vz7F?9+&@?mb%4C&!vn~qD)+!|~&Y$Ca;IGd& zs`J>cHS}3j_(p<gX}8EB*i8Il&3R2_mj5t2DRUzlw`<Ax=hZQX%~eYJYo%;7-9|RP zN$hPw5U{O%6>EHIl@<-e*6PC{J;uxna$pyG7iWAG?oLi5nV?KO^ll|!XkLD+i^q~o zmhb8KudXwav`=ogqG#hQ(Z9P$PDZ3ZW{H~EL#z~UoD6a%oqkn<B7IxG(mp~ePZLD^ zif8#y&}WF31fS5d2IjSYJ7_yO<&GEW@(+IwsZn<nVSLR<a>WVt*p(=baxhbBe^04t zhv(2d10c3o3E!QH5z8;erk(i%uM*l)Mg8;yvxA`3VKDP$7f9jlYCl@G7X+nAD{**g z>5kAJm9N|v;t*F@ZsXT)^u)h6uzY%CaUyK@v3EMX6Cl`&waPg{I@y;L%v7Z@99d}L zWh(w+BU^m0G^=DP=)z5bT*2J1#c{IP>?AV_cO*43gyZwH_nt3nz%R`f0qy7-RzpQa z*kd@9-0|<aG9N-7eltgo<M3S3RK|ccx<>QBSg@)1Dsyxp>|T1pa(hcVp|h7vZJu8q zJHeh8$cxHxwI5rY-aO6hJP)KtVI^X(oK7yX&3{Q=Q9RQy84^e5pgf{}6=UuEdI7o0 z3#<mr9mJk%gUAkMcb7h{_mC=&)N05qTu<(G`-292%{F;?PJVJV1Sh_m^3d#rR_2S7 zVcTja>*k(r;V2Q}oBUV|VYQRIgPerbpU3=?!QNfV_U+eXJwB(}C(mJXF*fXYy}F3m z_bDMi$2)2-Z{6POG)JuCa=Y9bOxU~%1uH|-JX3bN%lrW@|9zxv{H_eJb1|q{WA7?D z%0)e0MWTOSMgQx@lmDBM{n<?BpQGs0^ov3vn83Nk*&@#W-K1>3{8N7U&q4G&%i624 z_be9)<=;&@7YhHU1o(GXwC;F-o~pNeN;$NLv&h{4ZqmPhr1@VddOlMqBO5@QB8#cf zznk=*6Vm^*qUTpcx$KRVRV&I|iK?J2nLgZuysBZxb;DzRI8dsX1g#m3LwY#*?~{${ zEWLazPp*A>=agj94Clr<X8v##W`NlbU6`v}bEaaa;Au}kX!Qu$ObTGxn{s#8?kYL} zEz6*^LI{VR&ssN<;-S@~y_zr&5g8u8OUc~#wyiF-pv{%wMRbNN@Aw9MOoM$X=w5tN z$eqEDoM&}JQ~VFZW)i+Ry**J&cQCo5gztIW9%F%kg^IhB8f~9FttO`}41s-9S%2yO zR*;bZl5RkIhYtW<Z(axN>#QRG5`wt39|8t1=mBQZycM7evi1KAK^+IA*F{@@QS`rp zz!E;)<!-QmIrd$KQ~v}(#UyZFifs0_^a{Zit~2%=(i5%5*ZU7H0GWMxTu%0&(-Lsi z2FEkIP63q_Rt;Exeg&`(|026$p5Oi?vfx{DBiJc%acZD0BO`-^_G;;_JGlsyM6G&m z#Mrp`-~pX!5{1#dq@|sLQ)9fH6XUJjCL!#*LY8!UO0vHgdQi_kV`?-`tNk+5Y^I>u zC4Pxx+>7@&0V{6}2@rF88B4aWO<)rU+o##SKax{x<EkklgIm~4@Ll4{=DrfHut1Y_ zoP&xp#_KrI6gP!>zAeXMGm4cDKpSuD2G}I?5>p%f;Z2yhM+3>uhF-@AYV$aWymA-@ zuG%+v+=m0OL9sAVvtx~dG4`D$DH;blC1+f#gU~%?4lmP(qw^6qA~d(J_lPgwB><pQ z4_ro+J9K=wv{#kd^L)H*>Yiz#1OmF{-xs>4Tq$C@{ECa|I{ZfZ<@pwrBi=+`L#)F) zaP0xSLh42X>4B)YLM0_7H+M?JumF)85n5*O-#rjOEbev#&<)(g;so&a5AThK+SsDX zvo$Ck>~|GXZ~YhoJvGZTNG-b=upVKEGy_Lpm<02QY~z`b?`dD4XEtdfmCj$6`n~+F z%PBTtvn6b*_xj|t;kT{GQynM1O4vIL<X;;O|KjVZ<)+B4!<MjF{+)*Qe;WR~s)8G+ zdkF!s27;`*?mzR3|7j2@7sBQDk>MhaXEOW!(Y-9})Wx*1f|CU|B$Qmd?e)%iQ)Uwb zIa|NmmQZca-Dh#A^CGe^Pley9YG$2UJlqwls#aD)kVLDY_#*mVPitK3`w1VDUzD4) z8|~43Y9GgNSg4-G{_Bnz+w9Wo&_9Z*zGsy7Y|(}pUqx3YG#nU=vGTGXcDzW6X=Dw* z=&`i*uDldale~17;kfVn+M1ih(hh!Sk7f}Or#*=Jcl0+iE{P!_ZROq<Ca!c&boX)Y z7(SgEqf+#KmsQs(VUFSOP`#0B+<m<kx{(~Qp1s43Q>RKWIavE+T&F;H0=+x3m!+V= z`Z#Ne*7D9X3MOaHDycL}_fh0zuT<4(dsbeIFZ||*%69&b9}3>)zLyhbjo6}`J!m44 zPEv?H60MmUsVPMgb)0#2N+a)z8Rb=zru4=un3I~RG3N-mX}i%X<2wU<D93-7a#6YN zc&g_j`aJXOMUR^j$6<k3?ESjudn@kQ=kVjRMnyJb$-^(Hz3x39W=n5aQ(JE77_Q6I zKX@dsZCgyVvIuQfe-q!7E{`cyy773vcB}x>)6mV7IP(mTL2Y7be(ZR5e_N`1?|*Uf ztE-b@d{a0cQ~QjTvRD+!f?$+mL)gMJzlNnTUJ}G9m3ia<-nNMhLHr9*tJLd(4mpSR zD>}<kDEjTS%q}q(DMY<Q%i#&sU5b)@tNXgM?QL8hJs%*;U0ochTXM{g%(|LQ;Q@@F zCwPgUC=v-iH)U|WHk6MIay37Wa>mu2PZVkCP1NFak3tah^4dNc4>cspe5hq~!4C=( z3!D<MDWA<=^MCxdjefU6T_6MOS9DQ{2`D7r-OJNyG|M=fJMrde4o2eD;p|FJX<q=i z(Cps@*n76nN5TS@X=ih7e^P*#iH?xEZ9wykXowxj@i(g9Bg;aU+Sb0GEb52Tcdc`> z3@nktxhGVwZCEb{TsR7iRr#Xe?+<xkhKmFWyJM2}3>G>zd7G-Ut3Qn`;F^_+53W1g zIs4)2q-VMdBlmP|Zz(C5`8&PqAb%3Lrh2>S1ng7ab4Gn<b$pvyqYUnlrv&k{rSzyY zq0b_^FTiWK+`3B1WYUid^8+DQs0VJ<#!!7ZLgKj+S5WAn?3LX^F=*s;kFQ%}^YMe0 zN?-tk{Mql0tK?YLkoWeW#x}XWFk7`F@wZKsVv9N|=e3uLcnzuVfbmeDU*nzv;d=6r z=kCHLC3%UlA(pJfjdLd;mm}oHFL5~&xxTx^Jf$AiMS|!$Z`Vj#DMDNeR*f;upKQ!* z#*0l1Y0^q_&-X$$ML_5i!@t;Mg})v+;jWaprnYA1w1`Jn<c4S;2`!jHxUynltgUs~ zaM<+V_(Xs-tNW3DZH*jdgVR_4hB~|cDlc!tyB_sAF6)MVNe;Cbc<wB%Rpn<J6*mG( z;<>l|VJ`<8Px}++d~IGYbS3sppG66+6!mkV4&yff!9*Ql=S+1_C4OX3cV9WD)A7c? z7je;6jbW_V1+mH?#<(#eUM&48XX_4#jqD&l4`&4wGEn3yc$#Scwv7P9bN&DJpxyeK z{*tinVpF@pK9{PH^F^O$KMz<!53r%>>CJuY#}U^|7PT->p=)=UPPvcmVU$kRIqjY~ zkLNN@0PCwt<IS@(%aMapII87KVR}j(M~WWc?x7_VclI|%j<aY}7W8MtkQ!E%6izlD zC6Idrw)O5L^(~U7Y=i5oVLbrrg%CJhZLSiG2ut3^udRl4lKtZn>Qd5(J<N@rlnE1` z3ONqwF=ufW>0@DqnMVZP@Ix8eo#e@EYN!*(BeBJ?<9GtghQY<b&+giD5<fHy-;Y5Z z?AQFc7<*pzdjH2WFF+A0&f99HfI?c=9|E;r!-<7{f8kIv++c)Nag$^)R&)M$zn(~2 zVd4a@5y1+W=z(9%Uv&GU8E<8MsJp2(vvHXv<>eW)+szWaO3V@s+j5p0^;-t@S;P3W z_dX`QyQPp9cSQ*J8mev>>Uc&i@#(!nznGp~PLR?Po^AC-$F`qJGnl!8M=Jh4g<%G; zI9wrB+<)U=J{f&EPFvb^GF`PB5oa{kS7j-HNv2n{^hNSHpi+6*Pls-RE)-m{*B?Cs z^Q2AMmit|T8Ee_1XCtYp{I`5fhYxWha7nTl{s=`zHIFIfpnX8(t)q~VXzdr=k*~^5 z{PbarW4jROG9o-8kfrK^;i83xZd;@fz*-1=t8~6F$by0&)`0PG=8Q1tRoF+P99GZ` zrn6dr2fUO5KRFc5j#W=K!mT8FlnO&~y0ts+*%AtkQD*{aARc;j?)ynGug7IqJSOBQ zEt~PIzNznS!L1sJ&$lTf5ei=6YoRB=!LNZLWIB?nABIiKX{NsbvPh_x{pUZNi;=~R zx8lA08-g?<;7nb>ZSJ5r%E-a=>TpGo!d2W<`v)?`A5Tx!Vilu2ACvdgm!7&|YwPXJ z)araQcz~wJN8HH+(hHE8Cu|?zL(TM2Kj+^#!DGt2M}{66M{dt#Qkw!0<Gg?lp|zS$ zR*n{DH4pgT7rQAbMk9A!V9Gsq>8nL&xQg}%Q1NQB<Xz*`if165^}rXdz8{Iv#!O<V z*E{qklj69#S(6Xke8-X#F~ZO}sEh*Ibaz!ZWsuw2(|f`j_<2BgCkp8THlhJIp!fgY dmv=0#Qzw4;r5vpHVgJ0)vBTOwr5rT%{XgxWPUrvt diff --git a/public/07-basic_statistics_files/figure-html/cases_visualization-1.png b/public/07-basic_statistics_files/figure-html/cases_visualization-1.png index 7decf3efb72351b6b2685512597356dac90a1871..910fc92d284e4ef453111fcd2a57a1e86e1e380e 100644 GIT binary patch literal 42643 zcmb@ucRZEx`#*l&$FXP1D6>UI2w8<gh>R!_G8(pwknEG9k`iTRoG2M(?{zd~%M4kS zosm7y{k^?EpU3<0`|tPoJ$~Qgc8+tu_H|va>-D_G?UA9uS!RX<3;@8aqpfiPfCl@M zs*a8d`}jPfeh&K>GSoBHl-Yfm$;kN2n3>6#Ved&Y{@7K8-NL?`$@uTy-hKI-`D0g- z8CH~pU48z$ZLnLrHT=zz{Qa@3%0DT|KM8y9^RL3LwFH19GnphatXL-Le=1?+NmWTz z*wvR*wU*RZmDIOZ<u6m^Z-zCiN;0cT^4~4QUVVL4Skc;Ab8~ZFl38C8R@Z;G`u~*l zVXrmpr*CZyYrj@iwbqxk)`z`gH?T&#w^0<mF|V?Mt(4wf+sqSy@4@ab5;^wI7C;bm zG}MgmB>k;<+#z1&@uv61F@e@^*F~Pb+dmLK8hfVp+d)zF($^U$V}<U7v2Xm|vHn(7 zH4~zX`=)n9qPvFko;_+weZ;WaWaiWRY&Vt=LAp)tK|52x{zyCw*vI4<Y9O%T12X~W zLP)F}0BUT@uW%qp7ouVefLCjOzyL(7nIQsfcr^jh{~wJskrA4jyfEvlZ2041F!D)u zo8g|IgBbz>8Kb7$c(o=5SeIfZe-xxMzXWv;9M?H$)Y=PiprZFFPl_%imID^99ta9m zV=I0KMAps)F{TibEj0wh|9|Z=8#fXew6ro{&6^suv9hu<^Sd+B+FI3DCwQG<W#;9R zpjCNm@>bE$TJn0HwKW+PHi%C}O^(N_1%`M9FRqa{f(}r|<|&trzO5}$E-H8H1}{Xm z%|A5B`=4cGGZ5#;7q`gED(fjIA1!$?+5qa-EUm4rd2_b=f`hv4xgltki>%oCS#>8Z z@iZq!bVIl92gHE5VDs&((!+tmQc3i%e%G>t)%rS;|H`q`?F$|g2D<6@N)WWLy%L8_ zD%gPkGylrH<O$D}!vhwyrgKv$x@j8uAr)O%t5!L8j2bTgFR`X!K?vd3r=ZI(KWPU? zoc3mcAd~Ye?IVrU&yNOge#sp_h;fxPlucE~b9vo0O*IfLPiR>qxAxt=DGv)BK3l7g zfBP73)9uQG<(JDeeg?SH=%z>6&ga_>kvn~<l%_SB1y!_LW-9UnbjbMUqefrdg8vDl zD_dczs)wuDmbWKLrYFeT8<!9_2Ep*9AMQefZ-s-#{{6Mb=xG&pWOL8r@Gq0o6`Oa$ zdC~9Qen&Sxk?-8!-oZNcWk_Aw?yV1-sQyRZnGNy_s@&P07x<ETc3;<eRS=~&@~9zM zdmKJq!2Pf2Fad8ZMLJ&KHtYHA6nve)tn*dMN}HQn)$QwQ<tRO|{^6tHiUp=M)tzzo zMLO_E8W7m|G_y1x?0pznSPG_-KJvZh+4rks(|cdjm2Iz)6<GRHIfE3|$XhRKB5Jf$ zZ-%19CN`=ZMo%Ig$UAF$AnpG-^zofI|6p{z)2=&e)(8~zmt9V7NgS9B*4QZ<=9S>) znag@0vI*M1cu%G3T!f@8>(u9yLE#Go&lUQoiB}?*(&K*j4rJ|+SLx81;q^CxtpA27 zC+PTl*CSSk)#39Sz_wx3HK=pDOqq84UUgkd=q!v}HIMxMBz0%X%_@bG-djz1^aD*& z-npre_KRn39$n>%Ji6nr<F6pyihb#JqBP|Fw3@A_khi`#ca6Q};n?y28@v-ajP7g< zYaE|a4{ViDV{TM++Bn}9s)jC{TUcH`dr&nvaVy;x6}AXW(eQVnd-^T!-%@-TUIn5t zwM`eI?O{b-Q1Mq~%Kz!0M$wB=PpF!8<t$b<y#2>-MId@7a<;(HH>~R5#2vgZErEUF zPS8#CFs^RR&*jPLY@Y1q_fL<EOf%bjg^t0t`;mc4I@Y|PquZlRTQmRaso-qA^C{1( zPlA`(*FpOn{r@Ts4_G)$?mOF;8demj$2GzR>tl*?i?>Ds_k3SvGb==|R(Z&Ol=*2b zaB}meR94bwMN4;GcBHQ8uk{?q<1{qhOLKZfamLW<V-X*P3dsHPNuDzYUzIX^J-Nzx zb!VMJANSx5{(tw70{qb0S+hk4lIkSWJ=_?8qW<drESf$nD7-2x!&o~ycl0Z0|2}dj z92S~v6g$ovFHekaQ_!v9=NSR7RP3*YdM5<0t8S-~H~Nu$MX$v;uEo&j<zG{(+#Jt9 z(tpRf>_!#%bTc(*tvKk~tgjO7NLzXk-x(hA&~?MDi@6KH_C@F8eOO4ndWZUO8hR`B z-jklYJqTN{N>S|)YuWifvB*N_{@J(1Ux&EZB&nYKmsSO^@adDk!9{-w{877rPW_?& zq`?vE>x7rKd$vrliFY9*<c^0l#5JX|k@9Jv8zQYWFV;6~upuL5WNjy2l~=P=f)YpD z|3~S5!POOYQ_@v`?aVCs=67Ac7onrOp78HMo{jm3=bT`~`<TDZXQ#n>FFun>(3fSz ze+n)3F{aF>qVwqNFnXQLPq=W7^gr4%oSHb_y7=5aD^hEle0b=z4hwQLtG22)Z`I~= z&@7wbzOz!a3kR;X^=}AJ&Ij*suuSzL&#JdZ<Ld`gMmMQgpwJWAnEMoouU`=U_nesL z`Vh3eIfzasG|XHtY&}X%=wJ`Jx#j3q!~UPe;++o$R~B4CLciCXi2J6!A07@-FMl%a znq9vugD;NTC=9yB(H_+NL6lVd-#%GEHDHH=E?knURS|N#dN_l+)}nL1b&c~ctJ}_8 z@Q~-*|8$*{bF9q!O~eGGO-_UuD?-Zo-zjcXJNlpF>piW#!9{rcL0+RLY<1#K!0LbX z#%TyBix2+Ci*B3<>{T1r8L9tNSf;w&W}Olo=<CWg+lvsxmjc+=|Gk(idKYLbv~px& zJms@=`|n5nsdrZXb-Lt5`PY27X?<y#JIPmH!Yzk%4%Rm%g9B97Uv{l;99aksP(JmS z6*>A}Ig3|iK%3mv8YIb?!pWIF$VMB@cK_1X)LUELm^9oGI}==EyOCYZc&v;`)=KXa zQa8&=8Ext$Q_QaD(7;n4WJkiU>U-%Z-5N^syiP~t?*E>_LJ-8nr^-E|pi#@b{J=|O zEYg~ir>C_Q1KLfBL&?6?jmyqFO2K{hn{w?p_D}x1T^h`s{TWv`!>smlbr?S+zeAa~ zqFRqJAq@Dn?u?~23=q)e64f9chb#XT7<%FZjvdkU_#a-YYd|>^lohldp6Ed41V_cT zwZExkv4tXXkV1icSryq5J$9sI30>$VZ!lQZS?8Q5sct`>Sh|e<;@d3xR?kDRe%@7L zOJZ#j4q_dlTU(l6IUK|)DEePH$HTJ3{}ssb|AJyP_kZNVW5~<u|1$E*z70QJe>*X% zvEdUMu)cQz9d$Pok!Kg@dFf!#7mtCv$`o_NooW~J<%;kCaTn;tT|5k~|G|Hnws>IM zMT$;NRCUa|Sg<nt9RLnPjh1@)Q2rlW7#Fi22)hW<Ig1+P|AP@L3#ou^cNCG6Fha8n zGA%EM0U*1h98m^#l=eRZ9?|{JfX7AR_Z~k9bZEU|n4p8&htylr)X*x0fkJx9ix^IL zjsC`;VJl7?Iq%zt1AFce(igmcqb@x$0{zW|6~x<|_uWqgZ?S?m%d#1#em;7^0%mBv z2-e$i1boe?U;-<P!F!5oQxikb-@I6(XHqz0c8n73Thq3>K5WETS2{Xup}77X0U+(- z;^or*9rWoxdhCe9tGQ(bUfv8Mr!zj=v)hJeI(AbPp3z|xncVSWM2JU4i+4}Lq4O_L zDtKfL3!Ss8MP%RYe*@M(DI)^)Jv<?T$MQTEXlK!o1Bm<9=s()se$G{H01>tCW*`no zl6O0>6S@AEAEYSHO=W;Gi4hYYc>j`2$Hy7kUn{C&CjLiHQjM%);9X6C^u=oJLJ-2t zNnGq=A<p-(0-^n7jzigAFGkI|FMDlFPU1$$TTN%V0Ei@c(~1wuR%M5f=#vCb(Tdsw z$igR|d9-gBLlnzHN{L;M%N=ba1i&Vn1FXq@M!RjwV&u~bwYlni?f@ar4g%!S0ThP~ zvNc`$^V#Nc_w`}}dKfqL)yJkZ)4OGi@yjjKVgz-D5k|;2It4*%_SpPu-m7m}-v^_Z zr%Hp>JI>vAj7q3RN)GJ9M({EIg)Ys?zVA@k6JX2?HjMyeR2LJVA>&8At!16k;A*`~ z&tfK6NTQ_y!Aa(rO*9(l=-B2{twuv_5n}xX!`=FZ`}2~m-#k2rM`E)U8l4b~WAn#5 zT!eW<M=3{WrEs6wFp{wyPdiydOy@-0&*w0qlDo`%xKA-fnh(0x&+AOW3p~bkjchui zV`=ukU=S4E73B;2;f{rUH)f4S0LQLaXgGTIvxD8`96LIPfa7_Gb}OCxygYve=klfj zh<iwB7#}x{O_B<jh~Lv^klXEu)UKSRW@QJPzPl|Bu1Y|nGTg=e*sZ&!?{6P~ACyQI zg61x>UuS<>_s&bEhFWah9N6|+j><Op(^GSsRK*a8@dvZVNReId)xp5RKdA->f!Lhe z&x$e<mxN8SV^6t;bHL=TZKq=NAU%xk+40gWmcx&7jNeOu&93#PV)XVyDoxPiFN>x! zxGte10R9LVnze0B4EVI<(%s1BhWq6-&Kg8@-k`wD>5@x-v8fPh`F)yN(Dkk|w|Nav z_;~T{n^F*@oE$n{SgKxpHD^bFkC+HB$>uGbN(nZ?eWoGGjS3B449yTQ6Axvx4Sm== zteQsEt`AWBsQlg;lza#|MC<VHt^CEwtWCMnxEfmI#f^UHk(^w5Ao3rY9~rPk@`qQW zQf2!(UuHEd>}P7fB+~qD4Ly4dNZ2ycehyRB?Kr^#(>I^P9VC?=fql7+TEts_Y;&UH zdbcWHm>?jEDP5~6%hExGt*?&}!TF7?6a4flKMwxgL91_hosrbBD%qie0L=cBT$EsR zt&O4#2Q+QUQ;Iepp=XI(dXbY<#F51)(@7vixS4FEZjCYEA)s>7LcDszilX}Gl2eVN zTS3|xo$b*xPtqjevn8O6=ZNn`cVx(y3NRDZMCwFhP3UT5`Zjr`R9`>U>K7eOoSyin zX}|F%EhDUJYy`zsw57FNcg@n0&(KFT)V)s2yQz;HTR!tH{fkuvr?^7YtHCnd$dY?5 z7cBTLD#!Y#db<eus}1!3u66F>{XFced&BpRvlAVxPegt7e2fOy`8XVck)=Nyyjxm~ zKMPjI&!sN?Q%MT-)j9HD%(UVTp@M1~zcu+6Rp*lX^8G=;JuQq%29EdQf=#0+$Ey3b zxy$~X@nfAht=RunW#5-QR+onynaWmIf)ycSAJeX_-Xd(f8hn1|M4`I}v+I!hHePFL z{57}Vy}RC5_JhZl$m{<ibyjPf$JP)3%jm9HD3jNOx+-Ux{-xiy%d!Fl|6MP*no)6& zln@eqZIYR0+{2Oek*GmR%^%~nsOu8EQn@YO<SHE;44L$uy(-}IQkT=OaW21FrgLRM zMaaA1-R3urWpQ!wjXUE_=eSNrt>*}mk4#?~Xqq+UE^5ty$vff0n7M6{{U=2dCHLCt zh{^AFl<=bNn2nm~<Y!aj@aAry5wq;l{J1woQKx4jJoa~r*6-;n%P(IF!^rWNikZl& zmXcvR3U^1-?N)zD@wv<w@`mZR(msFmOE}P`73+Cmu}Y;?|H0A=43#zNNawPrYaC;P z1%3vJ?TC5*GV{aG`trEkFTV|D(6(oMc&3Q$lUDU7ORa?GgI<j>N?Y+=iVTt_&vX7+ ziL*7*!yPK$RUVc|dpGYKi>I=`oY3@w18VX7xtB`z%wIOWFy_L#jIu+B%-VJ*6U+o2 zZDNG-YOA%*rJKsU^J{bG85QSy9zV|82xf!>IhMzX9*uFHFME9(Qs?esQk@+;QBj1i z^BexQiG$qtJ9hm;y$v<<$@`I2f?29$UsNgQ?d?O}Hv#|P`<liW#}&@2%%7gqLNf=r zJBCuodx@U+%m=;HcpaOT(%{EaH^r)isr9Ijx77lT3LgPf08v+L5#>TOd>nG36>zBa zJ}?pJd+M%O6_vEvdhS$MEqb<dBf}Gl$oC)9LwPYfEX*6GSLKQ{M}xux;c)vvwW>WU zwMt_0vUiO0xu9qBTr3y38&S)@z`-SaJVHbc6IK+7)JQ%%(mH>P3fzp?WAC=^1$WIa zKF?`Dt8B0eN3uCw?`Yk2^AauL_{|)EEFdz9-qaV_9?oQ3D1~FygWqWD%x@PR0)Eln zriHC5b3A62P}i;Dl`($`xgp<Vg0%Oc^C#_94YvJY-P}&ZaQP@l1s<BQaZcJExX6Iv zl|s>thd!&ON9qn)0*oBM2r5)%MX{hFuxMCQ3(&VxLhzUOf}Nw7`TW-9D^U04hL6AX zZT9%*x-v(`#oUgF0H<ft3{rQ8^Uf-ly9ffk(Ux0J`4RSk@kD6X3#V=5@n5GF*Cw8< zgu=X@zaN&zYM*pd!xddSAD<yK)cH}O=y#DgCo>n)y8`Uoj=gVv9Hexh?v3ncv|d?1 zUjhnSQv#@(_KZA7@_)t^RAW?VaM_giBxms-<9v~*kpi&#-2=(LlI}^5az!G2`zrf= z3Tm-xQ@=p_j2L3r606Ea8MWj9XD<-K*}Rdw9*E5|Dj7YGz@Dms=XJKIJ)eLZi(smI zET*fy5Fw1I;jUp6RVpxE2+9jNwxv1&c??8n7GysH%DbF+JShiYDSWpcN93R3+VfO; z@3ija7SG&1YAK{H#JTVi#&2q6@fmLqpCCWoS}!{j$e($}F(!26zNt(yD{bB1&R`70 z<;;wuBW`Q;K5r=KDhLL($LcA}<8+F(xCrYmar?n8bqABM%jRwVic;@4Bp1GiNx#Iq zX4W`F%-o*Nk)<g+0vUS=o5%NGd7cxv$CM57iv!T$zSvM7;S--{DeCX4FU;G%pKuY0 zHhK{4dSAN1&RV24R*=XIEv9mIun!Z*p5xS*ApT-oj6wt6MMqz7N|*{inT+&BN&iG^ z`5~4Y&mOGXf+wP4czBo7;#EmSkd?Ub$Tl${J6^`$ja!!&rA3Z4kTZJRZdbUCGT@+x zgPC|6cVpZ7Eb%Fj#N@hA>+JriTQ}Q83paKDDVGG6GzHSfVRL==)L)_S!zJ1X9&=Nw zIy|ncIAzU!^LXH!Nu+q+1A0gXqOJE(brfT%qM#yGz(EXFix-6D`Y}NHeXM9~u<{kX z+yOyl>Ht1y=Ei3`sjY1sgP*Y5(8Q$NQ@;vsQd9%j%PX2y%)5fd5yBGR6xnp0jQL`- zr>S9pg)l5|zoE;yPmRQJ+<_Cm8sPGL=OhKe#*Aa`Cnr@kI~3-u_8un6j~v<v-?CJ( z-*37f=QN8ftH!w<!)nDS%}=~P<n8)fab&+Ly{~lvtNZi4HWAMH7PPX@AZN8!Vz;jX z5G<Wr=67C1b>K1&5;DIQRi5W*$p8jxB_Gjl9K>?a!nLIg*L+Sim4--7?=DT;7|RZO zA{+Pp#q$$$`oRmqHM>i?LM|8-S{&tBq&O|0zHr&&(8xhP*xcxqg$N8Ek+>i~Gn_&m z7SaNT?;7w<2f}#xa`Rp)#ae57wqkHGV4m(H%7X{->_XJ-uwW`Pk%RW`oCz*zF8Ih? zBe6fU%P89(`Ak0i8;CRrJkItTP?_6z0{$xRJwqsHv<ngg(&NXL%#ijuvTFh5M8G-R zqjwWOdCULA#|pW$Vq2?ya1^JpDq!nNS-2dhJEeqwcEk5gC|X7bmoFy0Ts=aF8^|%7 zru43nC*I?nM9TAS;YlrM^Y<(PcM+f~uRW^4O2UrU#9xEO!{qq4=wr9UTh00jE%p5M zj6aNDy0qF3pljR^sY-RPZT#ULn?KG=(C*DPsom>=8{44<aS^q$oo)tU{VG47P~V@* zF2NhYl{QT>&tEbSW3O$^6fat&na2i-e{1f^JxTMq<<B8ZtV9tI%bwh)zt(E^=c;ZH zs!_aI6P%{7XRonex~ZDRxj^z}vQ{#2M<6F>N>md6E2zv$l#L(>HfmFDKa}9|&V8vs zyHiD<uPuMr_^RWA`q~v+48%ZPvI)b5yMQ5g#_Uv-T<-}pTfv*oiz|7{`BUeGh>hrc zJgp%kTsEApT9Lst1{$ohs>v@g_=-!45xE7E9SEF5U}owZg%$oB<#A#B<IUqj=YCuB z>$%Nqw1G-MI0`n(2*l_$okt$OHNQq}ck>4|cO+~)uc;(WB9qvjeft#d+&f6}q@J!U z%uRVzrGJpP-lEcf1Be)?@SCOwPqzci#OqT|x)n7gm_A`6^dL4uO-S9y(3S!=xQ_4h z#nb<OfqR1hV`H_e-JIM3n1pv2_EvU8Y~mX$jf<M?pW1Fh<iO!=7pwcpRW%5FGX~-X ztosXcoj>>{2Va>7(dn6Io7ipYb1W?@C8*&1jAycyiTut)=>Tf*!j#7IRSDZQk~RIy zAco84nI?8|8~)KO@(jb7H;!KfuS{z#D$Im6WWZ<@h~&T7ho%HLzv4{rk1WxS@zUPx zYH%T5KL(#CLW;uQkDx$QhdRt8g^fI&QckC+J`R-@!yg9~&-T8vz2T<o0}6__=*3fB ztn2NvX8uSWA4olK3d-;1KuFfV#fDkYUTh?T{_g(19^nnS2_L8nz(r&e{26_gpVw8^ z8Y*5qC`3ov2l=tCn>;6H(9bE4ae_LkFX2<8+mX8Wqm|LRs{1ZAU+RB!Lhua`W4xRz zjAYhmH>zsp5}()QAU0S2l?grInMR$~g6%HNRzAQ3(>e|~FErgu6o9n3WY7K2s$a`? z<Tv9RG7j0;jOydL2e#*<stjT*#0UJBEUDpLdTf=fzrTXtngQsWRfn9qkr5rt00*=b zzdqer`_>l10Hi&TACWlMd0{K{hug%JBBWjJS9?YQ^-RFc%LBna;XP7+pFAQ!C=fNf z?xc?UwN~ud4V~lzADQ_*&R%y9SkEvMcbeC#N#(=ueBKGdMW{RARHHv-am3fKBzoxG zh)P0E)93mNHUVvC)QCfT#2sWZH}IUVI}k;{hI+qjr_=A>&1W+|FX6CAB#$ws@isk} z;-!|4@c*1t-s~K`@e*L3<{Cz8LcmtrmZx{fi<S2509&@-L(Q}|t*JGHc|H;Md$M-? zn;rU%ew`rlH+BXj1DuCC9Q%f9Duf!PHuG^P^VIF{e?R;(l$PZ)*w}LuiHe?W>bNVk z@OFg?sHmZtYfI?3N|i~VcJ>hU!xWa=XZ<58&#BK|y_l@_D8q8)*~(Pa*3#=QXFqC6 z4Av7}($;&!8h!`;XCSXfJE@wmNKHs6zJa(}4~!}>=Rc#WAnlP*@L7#j>XZ|oc=0;c zxqtfN9z+61yru`FR3P^KI*;~P4SQ}neSPeVr$a{UUCLWJ&8t3s)Sr0TU&W_3_w$fg zr6eu`A;@wC(1USoCIUMcIE%5_Xe&DabFOQR{TC6R%?t*fnTjO!J+M#-j%Bva{{+|; zq#K+I&V23rWRr&KVj(QTQ3Ng?HKQ~D!TVLf(b+w!j!8Uh#HU~89Wv?MRZp>fIN=*t zDl{G_4eOEkD|_HOF>P852X}B_=d=_&t*b3Lm5ny_{M|=$_n}2@Alot1#f_{>VMFg~ z=%%Jjw33-%^9ya(jOC~rv5{xQ>nNQ-{JJp$GA0g`w+6O2;?I%C)^rtlV=9r;dQ_yj zBeRf+=Ukz;qY@0<vBlq8VxO^yT-|H*aA8}?_^5X5xxjoNCS3cOj7Kg%D$-#o6MJp= z)lQV(@>gYU2mNJ+Y{KBaN0la_?{P?o%7<ylWVwR-4{i2M%<0k9=~^&NF*sV<naTt2 z$qQq$(LZivP>pN_HnvlPVcRf)*yppph%N0L9dY`lU%C9bSJW0iJ~3HI2C5q@eLD<- zQ+Hn+YcC^r2mo^t6wNP;QG;HWJ_A%0A9z`IYtKsM%gAYXXt`A$&kkPi=K#aWoAeNW z%xbNAFY@h)W^aM?2sM{gZZG0MxjKm9z|lVCvO+u%4}wh^hA`#tPdqQnlUL~)NRpFS zWTBAPUxqzxrUj)#br~6a3;^6X5OVTkt*fDwHI$0>anB$Gt2dZUFkVrGkV^8dJqu$O zx~qs)3a?N<<4*g~4^DTQ_Pjn5;oYC#M0W8L2d^kTpHOlTmRyj@0P(^-ybHH;q~@hn zz<6y|1M<(`J+w^ZT|Cr$_R?mO%E~-a)%rMi6ctBc>B!}@mKuw4`HBvGdt4pKA*VgV zyCHBdA6+}U)WwL-uN=JmDY!`t+@#!Zn_Qr)V}5h9<fN{mm5pJciAz)EJ}b|`3wpCR zM`)C)ZVXBuW!n{YUv|~kj`I4a3ij9XLdI4w+tOb)S%i>ZQi0dJY__Jw3Tz}Huu1%J z5r&ct%RQdvb*vUY#=^h<$pr}K(7xn)y;SOJaqR>BNePJq6uOWb#A<ehpH3!g3!*bB z4>~Z19_bL+#JV!TA6J^;wc~FYE{C$x7dGG13tM@3MRt4kW$AvRp6km-;U^J8ZAM}_ z%pipaz32`!{pD4j``#P-A_V(CmL#6saoN+C%ikhl9)A3%1igN(ShXYq#2_4uYtNt* zhkrvZ5%KMN;dv!A-#s34BmKMG%H+l|H90TmSAFwWzevD#>S3^XT8yDAMppqDx_O<6 z%WLJg@eT(-JlyuHM2&|x;c$(o!_phg%KUJC!tAfdYu6Zv*fAa6MF|E{mas%Qy8XB= zV=&uHw!=zPvea`-z_L`V<a%5N9g!xB@o03@#kjoMV!wspSWJyx*h2fL1m_S(Hm#2e zV@$9d_%DQ<@;xTldv=qL_%yF`Qk%F}HMD`50gBv~80jGXU?8oHf1t33u(qp+m3j7e zd1{!oT@0z}pO@fSh2}%_XH3l(lg}N^e)ZVETa$O=w6q^!f+4e9F1NC`;D%528LEhL zvIu-q0&n2XeJvlJPCuCLa>CSne5m0(5YIs!e$X7ARh_+&wSP@4;bU6Q;aH+WNR>Ya z*wMw)6Zu0=t>W<dd=KT&jeDFDgX?Ti#|~0fc?c;B3{}OY_~HH0*x<8@y~uj(@l|GM zf3@8CwBpm_#gS2(GM~_Uc?;Ws+S3Df-azN`@l|-?s3&?n*GV_WqCJIGi^#xeupD!O zC5?ITEp0xk$!bLNNZ&pp9eFi-SP4!e@Y}@k+H{w6MkA{N6->*wsv7VA?lJnn118TB zMfivcH&$_;;k{RkqwDwL1&JC^=iaTA;EjQWG2PeuqfXuM%~s0dq3pB>6NWy&h$(pb z>dDVHfA2%rO3@CB<;6dKA-$1FLkn^WPl5P7yG<th1~V~;l6T;{QLMOG&(yEwih_ue zdSVX{<+Xxc%f)K_X(T&De$@xN$qVjkh+>SbhZ=tNj(8zNU6nUe^i<|N(ETm&TrMSd z|G!`Cm#)};5ZpcCYzD`vh~8YcDwjp44q@pu|JY3q1)3K&u(iv=vZ%sd`HcpifwN(c zzY~a+Kzy|sbYc}DenY?fvl~Eb5@6-oQ-k3N$4TED;${uwA?s_hFSITl+&Zcg3vX}; z=1J6=@(5Lx)N)HKxV6G?g#M@yada|L#eOfs?d@@6)5;T;K<Z7GLIHYHrEM)pSNnI* zV`^MD4rr#lL;dkTT<>RkzkaduG5k(YR|aD{r)GlLIO?%!z(;h1c!jkjot+lb!q=T6 ze6Ixwm_g4yYr4L~=UyOu(z7nW?uohi=r-z<J#%2E{zrA@9zjvF%EtDz1x5VjFKFAJ zVf8ni(qE+BT~i~5U~2Um^LCEDT0v=U%KgT%ZLNfTR8v%zA0ItSfn#6nqSY^N?!$?n zfIq_MB_OQqE6}AzupAq$ho_cuJgJ5Gt~|Q%T&49%y`=B_DPErY7e~j($E1U~IxRN? zNrT(Nb})JJ#Q1irkc^(bAi)3#!8)-NUg7E#p-NVK&x_m!?Z^90&T4ixZjqa1(z5o* zj9^0IntLY-N%!)!RhR6bti|0If*+-x5+XVUK+pn$8?{*QkK6U!_4-C1ynYcmUR4!{ z8fF_`4aUPik*Oclna#45`O|iR#2`A-VIR@+LA(>6kk_b;v#2O19t+bfcT<jqC-imC z$#GKgZcIca^g>hEku{-aBh1D_%Ad59vtBn2U^RNhm4K*to~Gz-2GhdGN_#O7Q<V5M ze@c3lmW;C(d^MlW5iWF$WXQJgUT!VcQ-r_Ao0Gfu9DT8LLZBp43rE<y=9}Q#`@!-r z+L4E;V+@IR_AQg=xs<l1Tdjtwb84>{Hf-Om6ttt^;%}FR5!S@P-+3CHx@l>*+4uOp zVyTOr|I5&LIDA;|;R(SDK#<%xquP<P)qO)~IJ2o{NO#risiOr#`W3bhK0mKpG&e~v zu>2e~;q-tQw391st-L@0S$C<ICUOxCdx1a?ldrei$u@MyR!lzFwn_PXHI~WCyg>SF zyB2v1Et5UbVAwmpv=NxI$7Y1iFz#&?=H|yg#3pSdyTbD$$(?1y!B(j+^Gt!}+;;Hi zzEDlugF>spVtbd`j@Z{6{Ou*;+*2Qu_Y2*ukZ4HGX9Phk7TT_|qDw_6H<)PtbtKj- zh5C+Ww_RkkU1!IGew+O?60wFa5aN{{soZS2M7?ZMvSBB;+yHeZJHd*x5-=wOKSLbF z!4AnhaYcB)tVo>Eyxzmg181dFO>^&O9K07+-L@V6;hzoSTv2p5Z%7IvW}N7#j!ClX zV^B>LNcZHn%BYE+X^x#4oG%<Qr+5Yah50iO6X=M%(cGVGs}FqJ-~K87tUkgc9@f&5 z>V<_L*%%<dS8f$8|KrfqgAj_{qldFO=38DA`&+y2uou}?fAmUNI%5)g+URY@oSw7= zZx^+cWSFNYx6zy;cyZ&@xrl6FllRiT^Yzu7A<sj2Lc!4#vEawY7f}U|FWj5W`%A~) zOo&F0ixjPov^r+Sm=7X0%Z9guJWNzEL-{TiTcK9b-#nSlr*k7pS;;&1R>aL?7Mq+` zq_+>3B=($03VYWP9@8VK6F%#w9<QdaTj01oyrU~SXws4+x(6_B#n143${b_n6%M}L zV|{mixY!nr40>_KxZ#3VtCi&=ImPEGOi>!90pBGhY2lN+bj66kwe!k(hCmR9x+}cU zMLU(nER9*y@-vLMm{qc1t=$v*9RJMT0o~)8@=_ljw+z1Fx@ULkm4&)3J!$e#5gtC{ zpt+kB67B7OOKn(Ska_S>o86Y7+()xV)y4@-)6)}eTbO?$_UaJQu5Sh)w_AS?gxlM1 zP(KFJN>L0lB3wjMXQ``aYqk?U3DEM418fdMot60E7z5npL7xqUG)=8=<-Ec7&mnvJ zm)R2+8Zn$goB--@Y1u30CcPyHlKT<hL4dD#V{+!I)EM<oXa2kq(zeb>*umM-PllVS zs-|CJEQSO2R-0rlgegA1up0UGdzA)zB$iKz&B)JT3AI3wMH7*?(Z$hGuhc)hM180U zFYkKsfl}w~DR9}dEh!avF*~&KHvIjl`N{aBkr>or>PUc(OdYEUIazv2{?Qj@y)72k z?BmyS+Ki7|sFyITnD>vz*dB^S$#QY$lP@T%bE=v@kY|)-0zslAkX|~`+33Y}wDQ}( z5Fh$}I^@!z;EyI9n`D#3$9|PJd5Q|woPoG~MY*%l2_On{DpU?SB@;I}Qao3s-a0In zy0+cl(&USJj1W>DDN%0;G;KNxjZ}WlMo9mp(?cZ)M}QRR>IBsifu?>dXP!MTo0k1% zaZdM1kjD3>!-RPt{s_FX_#i=vXStH2)w^hwEGEg(bqU)E*uMY%o`sl%x|OK|@#BC7 z+4kc1CE8(=G-~fA&Cv;OpjpKnUawHu3&X^jp126l6z@2f6WO$t@Ct|${Q>C4@Xv@t zftLO+i-uZpgr4!oJE0+{o1%HWT{p`Go_+aZZL?#uvaaD@MRH85#k?V;Ma7fqq$wWg z@bF`L^trVp{K@P3SkmPDv-1UA^o^Uf3fDBc#hVQ+$}jijc>SxYJ&{9GmyBDPhRIDj zqV2bHTf!F2Gh&YAPur=nKIpu~tO%0nO!a{sCbD{v|CK08N$tms!5b~DOanJfQ>YB* z-)S?mbc#1o39h><!@@Zoe>)rkwEzhpKkVGuntQ<kT@tgFyl^9N^BfqOoRi6CB@`E> z(er^*YVDMW<hzsRv}jp)0%Ot16PMq}V$s+i)bP!#>J6QOO46nM&D&pnY)=6lPJ^Ba zAqZ;e68}N_pKLkR<4?M~UT<xYO}Z`!KYnuA3+bl@?R^8mM_8e6rnuui)0%CK(x^rf z$!5tHZ5uSw@%wPl-N&Sa1;puX`cofn2VVtlBMmMZOAN{o30rBcN{}|wHCs9_EqOqp zGfbe(y)8IR@{L!F{mt59CRwf%`gxuk8C$jY;+$pn<Lbma1W{}3K)@9<!pKZ1RbACn zSISpjutJr^EfyK?wmCeNo0Y~Demec{UQK8R<4UtIW<AGO<h;_|di7WIvbddHM3}-P zE(r(g46|r?bhUoy_n47Nj>@-9)VZt3w~tG@f6t9}NX5hiJfXgPV@}?sSQa)b(81SV z?YcW@aKM5<z)?zS_!#<zQGRGiX{&Efph?aTJX9#yF6}=>-|jKm-UyS9s4ha_qqQWS z0kB{~Cu$Q?Z9h!J8;!mvB-#}iu@d&C(L>d`;tT2%V(E`1By|sD$v{7AfD*J*E8roY zBXVuI+^c3bAx{1C{=YO@8n24;98T<4vx_Dz6@Ai0Nb_5w=RzG92aMDAfM6XqiZvCu z|FjrYUOj#uilX-PS+)qqtBJ%M66MBXpkggyTDni(rxl*#Nf|tZIoau9#94!Dq~!34 zI2;lIHowt`>3CK_Zhc3(qQ3a}D2}h(+b<*t1LAcqs%F?m(ul<$i+IIWB~E)+TI@;U znT21)erKaq{c$QZ(6E29l4;Vc?$36M2N3nK%3*M<IW78>(i+^4{f;A+KC-#3F-ukT zcMr+-EAg9v$4t)G>t|VQu&~LY1a{(3VntcA5F&kBgz3=GE6Jv|1ZDe|AJzSEBXfoC z=8O`hv`{k;i;&?murQ?pjMU$5(81{CfFAUCwMD?;*{R<LylDtG$xG<uG`hxx<K$*M zcuI5js`DGUeNpSdRLF~s|4d6S1D=(9DVo16b*$tI`l<Kxti_v?HZkUH>#~&D8r@21 zyolJmcj0jfo~ta-&p-78{kG<OsuwpykVin;3}+*7)*wtmx^Yl=))Ip5zh|*%>8x7& zDVl?v6)zh+KTZ^2E4m}*u*DtS@GK?6=H9zEV=c+f2vqORn1Q&pvmRQt<fi$s^iQ<< zj(@k&tbF}+_Y94_Mw4e(O@!;CDvfVy4z`e_h$SDLAj$2HNi|X%Y5tSvbWTe#zT)1? zm|Fj(`QwWn4o|zB5~3YNI)(2_(h^A(clqnQFk1Rj$jRJ8w$n~o-cL}OBEg%5p~>>) z7Ub_f^9O+YH|o=uB`+e?kn$*hT8Sjc<p-VA@Nl`@MP2f(!AM5EE#GEPt3>|<dmqwq zUkUIONh-qZSr6%o%A>B|dQLO{O!4OgJ)u5}9f2mIIo9;Ze&mpZONXR6Pn7>YTcs~_ z?Q7|c8(4g7BH%&hfDFK=0rWk^`hdcfWyg_Yra34TJi&nmI}j_2AMy0eso3^AUa2MB z=Y@~NZWdzhHU-+fbpQ6FhYoD^72(^vw5<ZJXK10O!BkL(rB7)GKzqyY->OgIBt`0- zqrx0DPLj?Nw`cxb;Wf^*d!-cW#5kR`n4wk^re_r=(3<zBZQQ(&(Z)&yNIF<+PEe3E zTe4DO1tU%!q<+s>B3geBelGUOFJuGBU}SG7vQNa{r(rmI<;t5F>S*^{Pfj(hA_y@K zJHlKbKQd%SVzBUbTZ1s&MaEA8v>L3-?kwl%1$Fe9gN4po#XlC%xSeMoc34wnUy1v7 zvatz%^v{9(q_~UpCK{(1w%I{28uRG=t~nHwR`r)Qq4nMpOJM~6FAnBy5l}OEuo--r zf9tU_yH;H+uibW@E=!F(LNk`7VLYf0br-SuWBG??jJY{&GIHWZwou>r8ye*AIrwK8 zjz8sfpA8Ov(eg^#cT>{<?nE8<)o_xcF`!8eDHy$@t636x4+*@^1-d6<(^KuBK>My_ z%x4z3Pk$G44IP(0W}x#ZE4eDMuxn7MHoW{lqv>_fB55-(0)1~=@Vre5X&HZHdhY_# z871KHPrprRV8Vgxq*%b;Q7u7vo`6pQ-gEH<XQ+0g64E6#j1L17O5Z<~sJ*3bmVPD0 zZ4VZ+aPX=!Xk)Ct6|sf}o{sog|0IevH~j7MYu~c5r$De=@2CUA)b%xbQ%B{tul?Wy zKHy*FXoaK|=G+5$a_VJ_XXttuM7FJy()A}EHOx(X5qVLkYyV2K5*8)-;SK|^H88=K znUh7|QY^F^)DmIj$?{%SJX`n5@uZ8XbbM=`w`0sc+1ec~db1%Gb}lQsTl8rD6wZNP z+>JGp14z5PVTP17pHWvE+=y&byW}}l;|?70{kf>$T!`WE%%MwT@mJqGyB7Nj=vd1p zM`Ob2SErvoTXQH}_+Ap4fjNubVvE2|YwN5&|0F8NyU9o1`)-nNQ<3QQVono>r5#I# zx!is*PXDAeTE9-a_UkpH@UU&G+bt$zd6LsUwFo@HI$#1ext@lqYNyPrrCu5ds*KHK zXKhrnnoB9%O6HW2rL-E&n33pCc8)~u56{@Iy0fKonX1#Ae{N1aG@iB<T?S)}-+mN+ z!Y9phmKk{bu~UN<jj}Rx6uxKri`i!=7j;epK8B_K&AD4&L}g0kAQQ`^4^3Fo{v~SP z<2*TErbOl}N!C)_#MA7G&JjOvShkC4DYMw3BsdsU9k-lvwL6|@^pv#-A?&RyKdAHN z@*Nr?r9V5=o_upCvo%F|_=b(zBQ>^1mC3jIZqmbP3?Fz!fFoj99kAo9uo8SJ>U-JO zO#GJiItW@be&+*GNrB&JwOfe6D~+?pq6t=P6(jE#9pUPxK@_q})JNDkpnb;sV~o#! zda8jFBqq-2A2kTcxoM4-Fje(Crq$(b-1Xv{)p1IBAF}~;>EW3J9_FTwTbuVbNK8G< zq9zi-=+Vk8CLlF-@qq2EB3-WY0!8Q85kddLcB*nLnelGxNkSmvuG&90{qft7a!Kj= zTc}D+atra8dqI*JI7pPT4>S2c!RKT7VV*XITxR!~Oc5+41n!=OV{a<DyzdS484W9> zl_O`bjih+7b=-Y-!SL$Q2;4F?!Fx~O8Sw^_s0xNLq3q-ahZe#g;Yfk!b+-_}om8PF z%`0SnGy3s&zI$clB0T#|n7Gp(4%k5!5vTaD(e$w3iS29GHNG41DAQ;xUmv^s@39T$ zn#Ab@F_YY<o_@RRO<Shw|E4<7ES(@sKldeMJOWl$f|nRxrxSSb+5;@M@a*v8LR`PS z)s=<FLZJl|Q)YLu@PbE^d-W*)_N@vjDJlrEw)wzMI1l*-nQZX=ukwWMMK3;Q<av{( z$Ia4%ME;NLG}M5l>>g=E>I9~2u2fzVS@dAmR{9=r<c1d#@|`pWQZ-b9^8vp5@Ay_J zXZpYHNT{F&jU1+HSMd&eLC`3JkuAc@UBWVp<_FJ~*7zFq(9{K>ZV4(eK^BS93Jt|Y z=9MmO@BaAN6{;GSXN;m)2q;P$?jPp+^0+MJezROgU{k=4J7~Jx0%l*`$FgL$$sdy6 z?5$g5kAGD~C3wKSky$0``QFg|SOgLqke!<NZ6e&%^W>MVD<3@`U%8H@b53sIx#i3K zmaDCiH2b|tn;MN;yq;Rtc%tVJojvA9#+r5bQxPh?j`sFMp2BsHr0=H6oZ2k<Ta%US z|J2~$L#3Q&cj70KJRUZY?c22NGDeQ-A%C$Qhl38;M`-=awe#;KzeJfd9eaNzWc10? zlJ>80(Zx-?3;e5h?q40&`|Q!hpJ#3c&8yKT@u00?fFpBYu1MLEVAX&)7e=knLhl2N zM9qE_vv2HKHcp>8TJQY#tGq{?^Z2~Qr&q7;kdDnMkf_}0;8|udUFN`%g>RvpxfHKG z75=9JxZEDwQA@vK=B?npN)FF@{Z--F{h6P8_unqjSu*a-5k6}bEVT78_Q@IAk$o6L z#uXtK&0__vuN`yl*1ymS&#v8ERlZ2mgByh_SEFWfrT29w>NF;@z_-@DE*7PE6w0=w z5@0*>ZXqj9W(O^otEl^Sr9E(IFjDw_LvjG{zO@yCOvg_wV>#+I%<$Q>zD1<a<XD?7 z*_{<tr3Sj?a`z)W$rW1jn)1zmjJPtsO+GDU?@MIoGD|)>C6DhKjbXYS<%c7!Z8nE3 za$_0VhPmH7CBYq2?+#1B%7|63P;ke3^I>t}0U{S|c(&nw=eP20IN0L7tXLprU<ynv zLJj@Q4M|6tSg+#0Vf<{LL!EG^CEMIgRP~nV!lep>^6rpL-{T0U1(L>{b5C&873=pO z);kNCZ4SY>{OA>4atP{=33{}d&p1O2LXgY+c{Mbhk$=4l5lms_{PRbYUQm%s&R(DQ zjQ}i1SxkQph|^ZZ<=<z)tYSjiKVW+=`gb_ZIG63#S{>@YjQnb_ib7u|DQG_9uM7H` z937MVa^)0_{>m|W$~+^csvN<~>f$d^MsWrc1(rj>e`1x1E!*`eitl55HhK~h|Ly3~ zKo17-qv$~c3lXoQpG?Tc=jpdzdQP<6Vj(J;Yufk34!HwgZP}jp>n^V8ibJk(GFn8; z9z0~GhtrL{`;`CdvHPgs6)KLm7qQUJbo~LsTtJECzbC&HlrwG$jgS9H?WZE5v^coo zv>3c`&n8{(-2sXMA|YjV>3HjVS#Z&^iS}bw@(H{o)xz{ckLW~n6;qp0rxnEHsOwWr z7n$*=TQc2DtP}TJy7TI;DkK`X#s1?n+85)fqdj(VriR-|8m9LsC}W8~@xOVU8Q@v= z*n`nAu9Cq*hMj?dc@dD_A&SC7ThidA5h<!Ng_h#6GnQ25Qtx^1c?|h^J0e6wAR3o7 zvr>6>y`>dg=bQhypnpQlSLgy$7xGMnPL2<l-}IMvIl*L)@Y3pm<vm#LfI0%#-qV7S zc*}c}_08l+ga$ND^{qJ5y_@GSOEAtjbu{wUwj)>eLG4dNwR`||n7s55VBzIzh;evT z)#gf7hg)}S<4kYZ94p+^l79BZSbE-3*{Zm8FY+7!jl?WwZx8rpaVIHHm5=pWx0@2! zRm(mI@A^4Clos!;SDEW7Z6^Gh4cIV7>kd=1S@p!G|G0Wc1i2$DbX|22A#wXU<q}_= znSIr-6;j$mJ{YIOZo>{ED3)&+${)AK``2amD|tI0SW{CmOioYP3$Xs`+!@F1V{+4H z;iWM3pAb|S2m74N=tawm_0JY`YNV|-HyE(l-+V@z8_OOe^>aWh&6qmwm^nkwNu}uy z{<};@kHl2(q_iX2)Nrhr8!oqX%U;s-L)OdO&%?fVX*13b^!dUmw>BfVSR!=_-W96T zvEF^M7f6PCK}r04*4yUSZ2JzX=nOp>mgc$q&UkhLoo1fm*jC+|_2QP;*XW|Im>6>C z`QI$1KGj{{tzqWXgOg|EuJ5JnHIXO^98NA_zkOZT2kDxhjD0!yIy5hbSa8;szWr6z zvFNcE(mN@&6RQ&{WwVoO=4U_<gJ$1x*h5-bBZD%Zt2nt;pIhcVS=8$um+h86)yrE2 zb^U3D|JI46+2`8w^U@Xd$9}qJO!iXhv3w&Sq{~5mu174IivQ+9F1mCje>(lNiT{8E zSFDlOMJ$U=$}K(Cz;O7BUZ1uBnLlgaX(@ldBi~9j&MyRGCa=~LEN<M-A3mJ(S9-wL zw!o_Ojf&Zqk-_?rQ(*I#XWQSvcJJMviU-K(mXJCvksU}zzmLH0Fx%U3`)wPJsC?hh zGU2VNg&Pf#KjZRgO(vxQq)xQmF9f}a17oM7gq-7njP&{P-Pa_3?7VjGq_$DTf40(j zV<l)CJ0$4f?D^r{p*YU}&@gK(x&8dfT!RS2Jy>1vr|9g5xCc&&2Bs>7xAr_WB5N6i zisanf6t|t`aXfhy|8O6WE)J`aHgCq`Mh4_V80@^As$sF|%IBDUe+pAoXHN<Zt(N1o zh}<FQa~!-#WF*$jq%!Y(MxVTu=c$5<I^_q%zov$_m+Pl_Bkbb5kLQX55$n`g3>tOO z!u|{QuPd+pKuh4*du_K<mV2QtMc9U`zmva&95trrj6JE0rO3bG@4cA+^MYtgvqRxe z^kmP{@k{TC7fNnvb>6AHb=4%s#rmw+`96Qm8-aYBB`to*wKvN{?~8yr5HCrh^XhOA z9ME3X>zZ~hwYbS?ua{KMnEtwdWX}JpgqzOma(o}+``HAKzNH2S?^Cm-&37G^$A4V; zW;ATHhK9XNX!Jb}biuPErETf2+=`5pd%Z$>nIBB3p&bXsjXzwoXIF#{;zZ{svfSFX zf@u`kHzYm$mG||tKq3T!O;xF?r|8Sd;6y(c$ER<-o-j^a8j1c$XQ+kEt|H7QbL1?0 zWL4>Eqgd;UDXSY7Sod1{?Nt6|JaWkt`U={+a~<WQUcETHWNVf@l_`EH+h7$P2M2P< zFs8;XF%3L%>*}pyQJh^8N22+rnDV0}zx-~QwSUJ9l&ez<SxvttYr^akO(PE`S_WaR z2h2@k?g7tSJ$Sc-i&QlCox#;r+V(F?kj``|ak^56d@7_RM3sMTHL&-qM9$|C1g_$b z2?ODM;#9Oss^j?!Q*<?r^z|<$C5Rh8?$ZO^A?YSo)+S!)Gg+-jo@XFZJGGx#K$8G! zvOzFcBW~bBLp7IIfY|8xQ^=3UQ_?D7<KiA(4X-P!K$5BWTU$n5$6zAGr39D@n%VCs zT4vEo&oIO9J@eyyr$+_f4%n!}hqikU&K^XFu0b!R-&btcstEhhFIlFsmxiGB)KEMv zNVwAyGaPi$`i=wwn$Yv)LwC{eHIKp{@Q?-bX3cIM`8|$F(f{NE#H)9Q>Ek3vYjll2 zUIGGk6-`PID010*N%;#&G=$ZwQam>gkJ3zpZz)^}5M+nU$c`};W(%6iu(ezx#xoc} zFrT&A>zUa8SGn;-mu*!OfE8(lQ#WC<fbAhYd^nOnRGY?8RT4ixjm~s^I=6sU1JP~@ zp1r&+J{WLTG2!1UgU6kb3_MBi*4N8{?!eEnxr<948Eu5gGt-T!?@Xqz9`OP!%{5W8 ztjYwR`NVqu%Zu1|Kbn@ltQNhYCJv9}Mx@qsxxdysm*Bkrw`Im5p%9b{53*u13m>^N z9-d8}SsT0*j<zKAZIs>Dqd44I>bvIWTp;;L@xovqsqe%$R<6Q9H8(QPVIT<t$+Fn2 z;HyY=j8LPHv+w)xM=nSmucgRFuqs5*$<=Vjz6i{u4&6hF#{SDh6s3(P)8N43g^j4< z6XlveXRBaCiECQ`xL=hxrE_hQk3gL|Yf*TRVBxO|x6_+j=(6J2IC^jACQg|8n&r|F zOHTV_HBN@I5R8EM=%F=T?oU-SoVMw|zi#n!x5&{B1>1plz(z~)^m`K?EXz(40inv9 zixQ`gg4c|KCm*r&<g1FzCwMw_5hvT&Z^fT=IX-vzH{$^QQ*-bdUVC_*9C+#dpEgRZ z-tUV@pM7^?Yd1i=dEAx_t{R~NBKDjS&lh|q+AO}ISoFG>J-dtIc91a6EpCtaL0wnr zQ)`Wx^;1`@9Fu=PF4>X(`PWI74vsN^)CDGDzqgL0oGFetl*@4Gk+a8fSsaNXq^#L& zp1<=}`IN<Ih`~&*3MU?iJrc$3cnEI2If+T_oYG7vi4RL=q;yIu82wDUROM8ofP-^5 z(A#$&JG{84U|sSoY1^EE*xM#B*VyBCi<LB|sf@HIgJrt>WF?k>wOjdx9%3rlB&$h) zuc3Ux;y~h^E8b3;f1r7poq)jeBby&Ll}10x`J3PYjv~P6S3&lvoQ|`lf$h*!S!H7M zg5`N@h)0!~O+l8s^ba!*j)yBN2V%>f_T*X`++lyW%e#Lv!1SH!ug_{n;KzZ^XH1~| zv)O;?O6L^jz-Z`MKFIjq-abw(D=n+ZLQA=?S63cLSThZETzjl|WrYg}R=o=R?W$z? zl)+3g<^Rz1)d5j=&)0XC4(Sr<E&&mwWtEcd?p8ujQgTHR5d<Vf5Kxc?5hSIhML<gF zE~UHocX__=`#+bxF`v12X3ja&$R_vJ(IbqT^T<YG+{_yhQjem>n*8qsD7!%Hu6<X% z0|I<F57+XjNE74)`VXx1#(#sR9Sd}LiFSuxDW(jbl?sRzbLi5>SzLdD)F#h%s}Vl- z15|N2;nmzey^O@M{6y$r>}nLzDbhd&2O~rTgx_T2X+KPIUruFi?@LuvO!{8vCV1ij zsQA<w7M4yo7;X*xF}xLtk(QYdiZWZmS=%S{p1=kPuyEK(0#fO6;@UGs>~T{~Crj5~ zZJp^E1+wgT-R`sM->bq#osbyHtJQ^mv-}XPg#d8+G!z<$Qm~~ThDccb;@scB)xM?! z9%>Y<WA^MhIJcH#=jm!JG)P7BURfv^<;}~##o~c9KW%Q%>0Vw^xKJPUleV>&56gD= z#ZaBxq-;Y8|6-C0)j>q}2aek3HI@!^|1-Wfw&Y}+I9FQ6qu$gmHi&UFjSyHPGr#Vd zy#b5JufSt9>O2=Q!v{?T;wRMY%ZU@He9e~=tC?Oi7tsZCfbNI}YJ$v%^R$N)R<CA7 zOHHz;YVT^?z}2UMh%zdm7)g7Ckq`VW$W=u8WT@Z<9;gt7nI@6sKI335Ibfb;b3Vjb zKzM1`e|T_FK`AjSY>s`2j=rMrLIzgEs@bXwcMBh=Vy|F>Ik69kp>J!S=cd=9+z@E! zHm)gJpihJwC;bzg%Y1elbK6BpKorLnz{6F_5O|HjDORuvqQ0RW-9rF6q9FgG%@4XJ zZ{?`{8rkSehy{THcHZ!}VEc~~P6L+Q{*Nk1`5%wpDu`q9!M$W73hVac7-Iv&90lq| z3ySMTFDyt|0$Q#qzdeZ>+$R;$y^{RL=SdkG{uK7g@?AU#@@l$Qk6^J7Do+V%d=t^Z zxn0LUoEv2%m)>lD)_4URxOjvsUgcI~w-cv!$0{VF2Bjolc|eoug;q-%$n16Z+E){F zRC*^I*pc6rb)Hiv;a7;R=2n#i_A8hSLZG62Gho#y>GS*1Fz;_zmlmS*cM8ioI=Lf4 zsXA_BCl3qNsxnOM!K;yRo1VP~hs#j5p6_3Qyl9)D)@tl`*Bxfz|9nHyS0re4<Ino& zovi%HXnNyWZN^g6VJY*N@a{ShawfQuS!h~s&rfZ#)bBVY(r4Lrb9_5e7=HIkf9r@7 z62m9tut5P)Ha5_iw=(%>Bw5ij%q_*ycEg(!$?=bb_@m#f$hhV2j)v1Z(=>7OuTB5~ zZ=5J9Spvg#Brz5`B2}1cbs<-P6c8Oc4b{H2AJ<c^$rLRS#0G`i1x3Spsgt-*{pRgX zBf>2J>JC7^Sy6tv+xwx`UH^QA9B98rIsof|qh*8I2JD0zZ@GD*i~o^jT2(0rP-p)p z#gC<h#qBva4~J#pb>8FyoYc|zQJtt0TgEnao0KQtKgh3|{E^@V>bVc)D1aa)-{2BA zgMPhI)l6OVy$&yyQA6u52j8!C#tmnwV_TNw3&U?FyO`eFZLRlO&hsEe`yC$%!H7W; zmR0n{I0{@2e)I4K62jT%F&88keg{bgEA5YwWLk7;gaW^nv^RPBRJe!{21AQ^SIiJX zlfr}v<iI++3*>!vOgN`9DVC9{KPvL}cb&beLh;vFA#NdEgaDF4{zz5)BlD!hN5OAe zHw1{DG*W?g%4eU1@LqKb*X_4$5$0ywx%%)tQqSuxE6!gXSA(G>%o5&Q96>mgcpr=P zJU(s_<OS9HJ7t0Og47p_6cDLtU&6Jc-5jOhHFlElHpYRr;Byf_AEVa-(KFQLSkB$1 zksm0@?`NOhPa<XxlD`v_BwOPen%g#T71u0GGHXOk%I^<XSehb`WDsYN(1WBJkM;q1 zlVQAwcdz*E{g(Q%tmgpP8x5Hk+5BZL*}b(%7(1$$6u>$+0pOTuAU%`rGlg{JpuJyP zADT~g$+;|)s$~hV{rrbCZ!;8H!mJ>*k$_l?3DgB_sdM@hqmHE(mK7|Qh{<Vn>#zs! za(zId%LJD(em8hnL6hz?L{lS<_hErE=g)ti&!ZG*NxWHWBs{+@fu^2nA)8{OJUam| z1O);lL0zlSyS|E#uFzCl32%q#A<;Q64EHM|2J|=P1*HvJs<7#^)KGjhmmG58p-$FJ zgq+czgk|q8_&=Yp5(Lv#TGhL?^qU-g_Y%T4Z^1Yjp|}AH4Y1}#AjTL>T$8gP#0cvX zEy;NUi*J>iwke`1kH}*}{#anD*9BOg(+?nl?d3eM&}qqZw7J2IpD{)rixU1mf3A}9 zysiH@#imT$3UGUCj&dmq<%+A(f|6&uRF`47uz?kr7<O~e;99p}`l%mSj~kj6P=9eO zCPI}a>a@;7<c-*IPwhP<Xg_ixW>=}yH25p@-_-JZJ%Mk90m&NR&>J?p=^LUcP@mSr z*ybvxX-BgDbYJ{W-e9vpf7;M@oJ*Vu@o)gepYDXyg_&jb-w@8JH-e^Cd^B)3Uv0#3 zq20+>|DytJ6{KN9_(<-C7V_WwJM#|b-Kr%yVu;L68_}@w!TS$HZuofzo#Fvq1Td_P zIFs8o4c~Fgdx#-TLuh+}h9UytTs-Sh)W%Z9C)FgPAUudqhNq)MaUv&Xv2qaN$<QzO z<7y>tLb4D>`0bmVBBY4yb4|zbfd)T3Oh>#m%sH^DNCUyMgbUH6&q1jh1<X=ot@MB* z1~Gi1)WWwir+uip!?@2o#^cQC`i5jATtXS3E-!$OON}9giJL|BMr6wrd1?HI{?*a& za=XU*Dz|A}i~6QjP)A82k8W~vjcXl~<G65lqg<}5*#`n7V1p1AifBw4De{rgjHL2e zsFaY)1E&L=U+4bU7TWYn(^*EJEIn5ArjKBD3ub&ZUs_Xld;+h_|2Ho0#gzm(PlK@( zOvKyh?;0^bc-N8kNja_D{w|SAqxq(FDWkKw<l$}uRG7Z{ANRTNU&EX<beJ4|xW<i5 z?f#Nlv&wAWdc|Xn^zBziBRBRXbSsHi(rSYkWr7_0+`hZHlYkXplWM<bD&9-@;3a$@ zMqEMXj5{#^e@(_^A)XOxqjW0T;qi54D-yA(9Y+M(I8EtOEgx1XArG`)_7aTvlvLy) z_(Ms5=tcHY=(A19=kIDAv$P1|=FPQ8`?3_Hm_iD0!3;eSIVE^~__K*MGwFAt2!(2} z`0XVAiXO$>6`6~h*}Kyw9MShV*P}vivoQA-nX@zn;KLy<6xEZeQ3&m~*p)*3_x|)F zcra0=1z0oQh>6Jn`SN&N(Re-5uU||45^~!Tt{xef-lM~M1z!U%u|TAm5<^xT>m~+1 zS^Z?Gxe)e=ng}v6^zv)(IvVLNwcG}6Zo-A$g~g7Wt=?wP8^e=U+FwSyJ*0C1_RQFW z32k_&`O#h^S}W6ua{L-{OgX?j&NVvvDUV5Iwi@?M47<^m){UQS*vRKdP^6EIPKkeu z)g;Q#4BU+LANnK(B~@kcyyU(!aktV(v}IRJ^`~sg&@W5hWisQ67qpc4WN?AHG@$mD zv8E<&{ELsL$C!gtVcdV{Ir3}4IF)j?NCDB(H<I^+?nvp(Fh{$5+xn}O{@JsD0|}7O z>{Y|j2YOBc=Tav8`>y;Maf?*<teg5Ud0Lf`Y!NPjTvrH6Ie-X$X6>EUqRNId=jYzN ziEx!H(4Lt<EnNu9he4&Qwe@-$hQ&#de8S4dg*yxcXlu!pz{JLz?$3OS$^V(Ub@y?Y ztav@b!H{AD<5jUMXA%Lv%`SHm=SVAKS0xWCv!&)_w18-utL<8bgA#9QBd0C1f>T%r zrIAc}(bR#?#b+6wrDJ`CbY8E^bfsf0&fkEmL|oE?3o;pc6Jvv*zrRogQA&(_IhHQY z@#WufOk>{ahT9F^bakKW*i9Ju%Q2HLSTpmnnkpqni#2L>Z<PHci_LyD)b33XE8W?W zwk7*u^IwdL=%)~vM)&}L{A(oIi;(4;c54xX$sD8F$xSyr(2b#m^e^vOg~}Ipx<B(b zuO)>c0mKvv4?(7F05*@t^)HfLvI3QnIgth8fQA*#^~C2zmecA`TGUq=L&={ymkC-F ztv46imDdR(rcoau<wiwg84P&`vV-i;g3eOeFD|BC-XtFm+~%kM+Q?3NiPYNDaYy3E z>D+7*GNA4ALNt8|wg~Y_e1Qb_Lc3Ju&M!oReb?|ugjQuIGVKrmnvqogrf{q^F^?)e zm`UUcP(D~i_^sbvclhLmIN;b)M8wL}OBZ34(lWEHI56IkaF3KY;FrROY7m*pwG=2) zuw%k{Qb|>U9LUzQG)e-0l2uBUF;b)laup0Z@fuD(I(Bh&rOPugvx`E@1C+RT8u3!& zUR1S}E@t|flDK<@A_^C1H_k>))g8}2zHr|Xp0dV#Zku3Md(-!jHU#?~2Vfxs{W_Cm zEXE%-Tm?)*`@mJ8ushJfJ^W<YA9a2DB3RqO&$9vxbxvhGeRy{71x>slPCHrv!q)UZ zQ-28E_7Qn-?5jyASEVbUnyBt=GwK5rcwck_;GDTHOC9Qjd)4eY5&`k-L1NcHO7S9o z^zJP`OPvb)cSJw@uzBLGgN>RV<_{L}(BN<oAb=VIOgfOD$L4~pYB=^qveilwL9CTY zJubS1@>`QVsw%oSk7beKEko5N49L>~dZP>%wb*Vm!PF!Dxr4)FEIr=Rw9TrsTS$JE z;dQci*y>CKpu0(v<n{skfkY}ti$E#NtW*`@J#|iQ9IfZKD$p5AU4MfwR2+xdOw8<l zBPO0~OtyCb{F1V3(rW7QbhkpR0LpiiBGZ3$9D$BXxY;&W^!QP)iJz3`m9zT<E@ho! zR#<Gm=z+E-@~ag>etN;sGB$P;;{GA-OVAF8a^L6U`}b<p_FpSSdfyP$N_yDbhZhrC zI9dZ=O=i9nes~pBJHga(^vf2e5+N7!`5L~k7q1;XpL=ADt)$-Pfx)Zd2jva{(t;A$ zqVB}^w;um7=WnbuHc<vWh$9FPUwH@aZ8pXUEg7ag?tWuw<?56yi~1|sOL!qyj3@jD zlf}Qj|EguDdNy6(0NNp(7+awZOPfY>%^TyV8;Za+hNQJnCWSNN^A}l<AavIk7mBoe zoHL9ke7u=%<xsxv$JxRLQLvz6Y{}FY_Rxi$I_%T<4mh%G@$`JFQW>lNIAy)E_o~g@ z2&ejuX^a!Xx;N$t!M&g*okZ+Qc2;|5HW7<i*W>ATBg>AKjkVf_2w)#?;{WWnP<c-q zjYU{AbH+v*+3NF(b-_eRt1_%Dfdg-EA3P{(1b>)#zz;kx<nY;CW<zTxG9#o8WQfLu zt{LhCzx~~&Wd2YK{e=1bjPZtysQ?~`Pe%NF*{@x>@(yZ*IU>L_Q3fFBdvkl^i~75X ze!oBB68|zOyzAHZ9#1JZTYs?=pbsPhbVrzp-TrGZe~Slc0bRDl_W-)=M`3!CkRXy1 zFZ`?KT->J*8!i}&W+yxwIVls*M-w-_9OHaHa3wq_n34rYA&_SjOU#59A2m5d+o5mC ztL(}z5cLJ8sW3FA+(-22Q0J5E+CQyr2KkHS0@WDG1U5n!mV`5~xh9ri=rE>Q`4Gj# zeCc3_^==~mfSHL4hZvsg2)4fq_kk!ylUwrg?^{?NCu1%d4_}_G$w-9Qc}N8^Bxoii z|5Qm5+Hono*T_7RC*t-AG##vesSdw7a}P90)Pqb%up5*#5k}=;r>yb+%ExzR`yy z^3(qJXtHL|G2{2_!Q0sTihA@u0ntP27Oyg;XEPLx-brsc4%bI)p7$8vqie$)P(QOT z5P8jsh1Rk*3_c3s0M?oBf?1-ZJ%1deCr~Nwe$0KciKilv^fbqN!t%WQbk7Aj^RHq! zKZJh9EAoh!pig_^&WpY0&*haaBt5SP@pg{HXG}1X3j5vvXO>rN8jhB*K#$%ojf2tC z02bQepY1pN=_I}0bR2X><`<=WpQ;ecXT2fDJ@qeMetp!3WT=@e_wG~l_0-@=(YN1Z zs8FGqjYtm?+py$Sq_yTka5(5aa7k3Ah1EV`U1y;09_jkM{_S$`l<@F`0f<$^FH{Kg zW3x8H_tGj+KDMFdS8|^w8jZ;qzNR-4rSo3*@75FIM=!7U%V3LQWhN0|<3rmw5XaDV z$h1gt$@sXCSMXm?Td2mbB0XGrCCaea`5F6FPok0gleRgsfrVB3x&l0FgwT6{{sN6j zZ5SudV)*Z<w$9FX<AKp<f#h?lH?pv?`@MtTaxz}k^jxI=?Z38j`#CvCI9BI?yh{?O zPy`Jj2^Sb(eoq$JK9dX#%lOr))LEGxVj316r;#=dtGER`&r>XJhq@D>CFfB)H-sKw zUpjJO!vYiZ+}*tw(gyu;av~fdk32>53DH8o?rG0HUn=iJkli*#aq;AtXQ)TK0B;8f zI%!qXe0N-0MOYx@xmg#mOxJq1)$cd81k}wrB???&%W@@p-mCXRh(Du@N}dpH=kIVD zlP4S;SK8!*IV2EfK#U^0C?V%U3SQOdZ3-ldG(~@Kzz%^&rAoc&wg}-r1>6r+!HPl= zj<lQs*c-7!n9XM50E(1~q<h*U{6XI^;Vw2}h`nxV<#c}y(*G?z*@KFw>TTcLh<%Jm ze0k}a2z?^&-~CD!_uIyz_z5cJQLG0T7Hft6+x!ug%uBx<Ll(P(S4z|$r1U0J0800Z zMR;JzYfr5|9={dssBlK2GozFol$)5G2HDZgGQ#r@Bve>!Buj4bYWMc`WYXpFCq3}W zzwuPrJqH1~=9ySzkR-`M0L=F`>(Bh@Q$*fJx^i}>cBY*xp`%UE=R(hzKw+&2;Su?{ z?kPgwQYk^M*RjRpVNCd$<2_(cW-0jJGSp*nf$WH*2QxM2HPa%l_ZG@wQ`-`$z3cA* zIk4w^LeY!Wu_zU+QubVdWD;n{%qktY#<Q!%gG^%*|4RhA${eD}(`3`z&T!6Orvb<E z$9=uuEeY$p<{O(YwL1bUq@OVIuj*<SSnD_}K0}=pjj9(<FZc}gJYRLJ#3Yl_Up~^` za%eKM)Y<v`7RGBjaGx69;WYefYcPBlC!JgG1|Ln@_<Eh{S%wO5-crAx^GdME^7+!4 zOJL%)#78TF@zLv;ws%PI1)xpl0Lvts+e#Us--Vt>#odU-lRZ52G=X+|LUR@)(0u@! zm?qU8(*#y5p65)B_L>iW`?wcwi|O+vA{s_xIv|UccN*vAMp(L(dsSVr0slY-XcN|y zx@dG7w~OrE6TgZO&_us-i<VpK6)Zp?f_?d4Qp_fwKQ{FOu8>TuM+4?ZEScqTo|p~( zBrm_YtA8_R*LSY%M%ZXW7rrnN_`Lf;hO>>MmYuCbBqL-YXZ{CHqL1TYGe!?mMHR5D z*UFQn5oIOq@2lfCDe`VVKKt|zr(ZNq5nEU?aB(XsJ>usBz8VI1UQgcFuShOAE!OGx z0C5Fo&|D;^{VUnNzzw6Q8hLIX)k&U+m*Clvlb*ogj}cLwmrp|sOU!MYK~KY~5hW1T zVgk`4W7Zfs!faYoPnSVj5Smj&g(&!S>o&q)=$Y6LmLJ&?0_PE#%!kFAhA_PWW8?A# zE#$ZQW2w#k$owpoqyjwoI{hPsHE&Uo-B=Q=2b#y?f{3C94K-l@kAqKPg6O^^<+~}Y z6!_?bd|#bCsm$Vixv7i#Yn*#GZ7e=Y-u4d{>QYtp*6_<8$9>w3O%|T>oi2Lu+l1~M z(=N`*%AF~W^2e5h|Bdcnr$II)mW(y*sP0V^H9u;J7%szjLR4%%FC(bN7Cx0)e>Z+A zn1Rr&sPkk10~1BZ&qT?&p2A(7UmS0Qs4<1;$@?$-zSoI;ByiL@B@w$HJ{bt?$A|c_ zX2dXG&aJ!&Um#g}N-SZr48}Px_^+Os-~f$5vZuSu5}h0yRZ&Ve@iHIDF@w?7(@%(* zpE9dMkL(412D9AyZYrf$2f=vo0bsO+UFytR`(ZA}VDS4z*XiHKzYGygM5YC^F?(cj z5<YrTj-a$|NC|08#Cl#}Yln52N64aXMA)|Ue75r6&JswFE2=ve_w?XLpc*LlyfeGV ztK9_hI-;UO!NRCm{Rl_1DdAMKLjOS@{^iC*(VXTswdaurM{j4U(xR!A%}ZG-0_hg+ zy_XIZ1E}8*Z-7#PNofi!c<$$y=Wcv99m<fU2_$+N@1gw}Y~I-36dL}b-J@5-zOtpB zQ5`==S*ezxK==9`>!YG=t&7kv1rQ$sxslhGF!fw4(PrO7NqZt%rvB|U@HZ37{Za=< zdPBX}h{TKHiVRf-&H^&zx0Q)pYGJJ$dU<1j7EpcQUYhM-H9T-Ai&M1Hw-J*+{uj|t zmBU63WRS-K^tez-5~3OCieLeuD$IyPcl4Tu^k%WegBw2HV}oh(*0)S4!JHskEj`6L z28bbNa4$>K#3K-q(tuyVdV75lVUjny-as0&odpR@yEsnk?~4t=T9w{nW$5`bJe3hB z?4bqR5MKNzqoFdXZ#wesCMX$eCNJo?RNa~5k(UCvh=1fe7a@@eSDr3~Si;qgf~NZ> zt$Ou{%<JgK2SJ%~8ada$?!J8UYcx^$gZbb^Dw8tW-qRH`dP;a;1-Z7yTtL{2?oj)X z`<MPUqih69f8<T-D2O#w_iJ%PG?5#<JQtTm0xy^Ft&p8wsl%TQyT9SBZ%hM(&FRnk zL&4VAB01<h3d;{Qy%T5pzJ}vFs(@mS=awYR8gd1BRB6cu)*88hbty5ht`a@@)COi4 zZnTzfb}wirjfu+IWDJRP@&I*K;P96NF>@gXACx#?NVntJMHH%)<RCQY^$f<T#}WJ9 z4qkE4-w{H0!9O7eaG^nLfP?7`$<nv823xw`(4gQZ;S6j1dnO9n?<DZoG4C5z+N;mL z^N(SSPTo=f34wZ7)<G<Q<4|HaNiGXtb%7!2qDdL@8f}d6tRp8zNM{@xhR@{Kz>5%A z)5CRXR+(XyQ|b|bcdjbucgn{y^4bzwSMc1fpwGlJPn~hGW~PpMu=t%OG4e1-Vn6^p z#p?#KKSnT{SV^H}^b23Z*7~r9&ZkcwC7sKS-W;|!4$UQ&c%a(Ynp0rUmB1EPYQC>> z9m6L-c|15ybkGNn!jS92{gma8{CWLTzB!p!ah|S5){_21ykm&ifBY2<h04<ztS)63 z6~<4a&j_&^=I^c!tB09~R;00llj*)>TKFH7K<UWK3{JII67@Bvfo>r(*UR?lManrf zcgGQBga#Ch2Cw4R4pR?D3m#{IOab1Ei19Ph4WX}?CoqI?)&V_`1~X+YE_nl_hd6?n zIJpI9GY9{n{6Fh&SpV9qat%rV<7l%<ht0>;IM^#e;*C!sowzIoS^68_^JVu|Pfbw0 z=E7d;?jX><&Yx(M{}&U3C4@^p%9G6dESrZvRo-^7YMulO7(++ptb@t8gC0z~LbIl< ziMdYBSjdkkxUiCY9DE-AQgNQK3uJ}UW<Qg>h7iW-fhMP4h_sFp!VY_jWJz0JJZVj9 zD*XRg0J(GQ8>jmE6e2)dh|NmLBVb3qM4Hn27vhM}^2*TqtzdQpkl!B#_^-(S%rrQ6 zFkb)jwIP^C$V>n35H<;ynfP{JSmn8(%udu-R%H^buDHR}HbavC9OG~SpmQJ!zJa9O zdw(h^sY>kV_aRW4SnVFoWZI40h{p!D`tK$Lkl?eiN~ZyVH4a+ns1XI4w4vh8%iCzt zmN&U|ojb%#XV`8D4>q+G%uJ|lim~{{#0u#Qzp#NKNy3D}r1owEsDvA7N(HcFXPL-R zre#iRiK0%mEuUlE<<&;{Xoh0{8c6<F+@Z+nIW9|lV6zwm9m(a?OpP7rD|z}>jsTCq zxq5h99N*GVXoS<Gms9;cbP~So5FsF5+JhgfK0xWGmD*2_?Fzm}Hf3!590~hk@-{n7 zodCiD-;(Pu{vFzzbM09=fMx{$);PTqOFMWWLe;x+@4NZ%vZLAbV2Z{k+0~)X=Y;H0 zYgk)G!(6;Jm~-gKhdz=bV?>{qwsL_Xqp@%-nUt$mQm;H8hA2+@5M`?v8{EP}3ICyt zc7G)Hl{8b6;FK9kU1g8#VP+Z8<vp69Q-eBw^LLlDSKJ{}U8NTZkf~lA%`VZ$+x`Y- zm5(s^2*6&!2e`<rcl91rT34t!5Z~wLdHeX@WSq28$k1U_v$XptD~INi0ypy0{(T`c z?mM(B_Xsh}kV2nrh|`p&`#xvE9&n^CWh<<zpa)JL&5a_fjE?D=oK3C|5u!zD8ij;? zMw8iQuUyC}{a3xb^W|N0B>bh|*A6Rhg6|9!^r@eBUiqxqbda(iY1Ojs-~dWxnTt){ zWuMR}#Mu!HHfF&WF)SZYPZ*2Pg2a!H2b+#twR~y<*?d^O+y@iBxE_d7tw+pw1A4Z= z`gmCw0kA3xFjmwckv#Lrx9RzC-tjGrQ`=hb$6xP-E_&9M!kr5v6kNet&|P5t7NDP+ zQUjywCb(dm-K4HKVp$jG+xKzf{jRR{?Q&8iS(|XnK|NC8R}j1|t>o^2CRFhWU6X@a zuY^s>8v(O7UGJ~HJS*=%e94n(QE#$^$-dQ7Z6So<1dh|i8JGJ6(0L2Dmb)s$Jf-t| zjy$C;zO9Y4oZThN$ZIXfH3h~TuXY9GLHGd%_QGJV-~wC}nO#o^vt~ctp;)TCOUqJD z*zq|Y!!D|Vc0=V2{tX(wY5^4{03B5K$%dq#vhsg63plTm5Wi*~3I16Yy7O}=OApUl z7Wp!I@7p;<q(D2O;zAJr7(t@XS<qW}_38Bh2}WOeI2U$3k}2tDtyC(L1l5;6FJHj{ z98X}0m%~lH0rUHZMp<@aub_p$K3T|{Mz6<;Z_Rm*@%z`t_nyHkbl9!=c2ivkNdHvm znQr+H+vdo9Umwf_YbC9kA<-#otiK|UjGmCpuztmK5CXbFYJ|t|Kp#od`*qvUDyd~A zQhrid$r6k&3>#nT91@|l0WKOB<}(WSYk{XU(AX%iz{F<+cG0$HAbMpPW?mJ>9GDtB z3;$+r?wjmt6RhJz-z@aSgVMQ82wcdS!rK`EY__kb*j+2ZrmT<qAbdkR-QOprad$P& z#OyJ>(GsSIIL^xyR$a<B`(xm(U|NWnsg+0Ri>A;270-y2HCYrc@RT7V6Pp_Bz$5%} z7PWxqm@a5bi$1{k!6#WoKV2-*MT#k2xks3aku(_MYgP%09`49GxIucP7|sZ|fN?%O z$6g4q&I9OK(-+{upr<M)ZrhLRQREs3e1aw{R9*8i=ANogTTF_~d1H_x!4~E!^w%zP zGNqBzid@EWgDP176<t6jLKV!PZbD$B`7Jjh(rdPZN1oSOB*wgWneJ$}8;#K-hf*Gc z_+)?TtGpb!kWoJby&w^utX(T^n52iCY5nf~v~ujIk7Azfb`Ab8Yd!rggBw_fazQ?U zDZcxes$Iorbu~eCM89-oYiw)GfCJ?QWoMdRgS1=?U!HlnLk_yp>|4N}fEzgPFp#?4 z)6alRd)D*(xQ+m{%A@K*?D!)=R)^R9)mcl!<e8$}Lc#9q8|mL>V$QcPu+WrqpAhjX zQtvhuXk&WDA|w9(knCzzM7kzTsj7YbL;q|{W69A`_n~iJ1HYUOXrlU=g3B|tF^KyV z7c@D9|Jr3ldy@VeepuIZ;llB}!{RuY0^@71tVK0=w<;~}efefrAH1}bZvyS|SQYHj z>s1oJ`00+M4zM?agmKUb;8p#`ep<@c47=PSO!&JX>EIF=kJ6KZW1beW;X+O#<;2(v z?*xqt8FZDH-)`yxb?U;%jN)T<uqBfaSn*9BHWjGG#6jhs2cp2Qu!WliwLSQ9(W5!H z^W6Mh5*^LXtsp&9A1((v4WF6C1$r6%axs3<qjSo&5Jm_xf;qbv`2uam(`>JO&sOJ{ zr#R0VWrVh_1C%Eoi+}tIS`g*1jE~8^&a~0^;&Nid;Gk@)`8|5#Z%-w9Z+z%JpyI}5 z1DyqTRK>HJ?pdbH=H8M1iUqF2JYAd;R;GOSttWzRYQR^7WmGw6OZ@gvNj#t;W+4$t zMtes;oKnAjH$8Q8r90pVb8@+eEs@MHu=V)kIyKc2;PJ7!51td<&S(_A`tZ-0mHtom zis=O*gK$bcIBea;du^u~b1A-<WQc>BR+_!V`z?942%(*>o4Ncfo?6b5Z@>1uAG115 zdJ6~qs}XwqGrp9@6#;1B%U<mnq7)xtOVq8=S}>pd5r?vMb;LSC^Q(@zN^-<%u?lsY zo&B%k-M<HJ-!Y#re*zcTL~wcxOJX%mwlQ-Id#vA(9H95csS-$Yk*hLOr4lSCu-#1W zOuS7`_#;pdI@2Vks*YF!qp;smTxgRgi6l5R()7jR^k29UTWMDJCI94@06v511G%%1 zConeMTSG7`R}H%P8J%cU@ht{BwebZ?(${|@2Mb0kB7o;CL0IjRkP;5M@-G!OrV&a> zm=K1e=XTw^uiaAkJ9nkx*VV|CMU$Dmg(R-0`Sv>4wqkD%tHcm~dJJc4ZxKgu-R1h} zSf#di<TpNm(p3nTPl%w^N=SOD`^!S#WK$^F^)Cu-2%hi#9X@`Jv62T(0$-T1@7F3{ zlLB@Kk1ApI_IDq>oYqEa&Q90XgThhoLZ%rP%!-J}43iC5{)t?n{D9>_jsSxk#<<zO z?U7O7YT~M>O&R;$<L6VRS$`DrHLp>Ei3`g?0Z?<1&ts{^ss5aIrV!o_T))bjT1LL; znXq1M(TCXXsE;tcD!Kf}6eJKX>&M1h5TegNy`Sm`EZZ7fyGCpahvcNb1Qg0sR^|P- zat7YMCmF45q@O+&x{3EFHYH3obeGv_;Wem{cG<|4X=^UIw)t;=YCMqp!PZG25oBKo zvBSJW>t`(6i7$QQro&`hSry@1S;JQ6?g(&)_~g0nKYNAys<Z@O5V6II-qKE=Gtk@8 z#NuJS=H>1}FX7;i*}(cJmeSwA<w@CnT;3Je-hg~EIi-h{;-=i+x4Q#p@WI+&``nMC zoXM0!LY%%5HAw98&Fe3rXZzS{fe!HIXbGH|B1ROE<7r5buWyD-sm<Wd5|`CYWm$dp zUs*>0CR-?`1nyrL^id`xYR63GCI+;VfVxB|ga)&RzW*NL{;^p)5FV-Id6A#aySq6w zYbc)K8u>$Rt8-$|bq*^3e>)Hy3O3*Hz6fRPig$e)zsand%snH#8XVesDRwr9Bk{0r zr9C-1<Od-G6*@KQS0FVl&1pG0;7dK_wAS&}n;)eVbRz{5q;t9_f0av~YX16uMO{eF zjd>#khG#du2Ps&-zBMY>q<mp95evLKCe4<(7Q-G4(A56HM9S?O__s%OE9|+_8Q5H> z#J{cZKF^xy>}(yTQWDcaS7>tuOuBs@BVNAs$6b$U5mWOtu=dvKwP|M)GhprY=OfgB z`UcZ#{IWpxu(-lLlEs8n`HhNcay9;d)EGwXyM#h;@{hDGb^x3-Gnuk=R*-ey0J^Id z8}ugLs(Yn<vpg+|y3c{CS2JxF^D109fD?EmLiQrqQ&ZktbyZ}&R|o}{;4|06@RCz^ z_<cm2WT8VMZngEMT<**6;0F8m5mX>?xDo-P*E(LBJ3ffp+JfI<G524nM?VAc0_sV_ zblUD<EotNION{RI1?)VNg?m8wl<kzcnLYyxYaEX>vWz~!Po-PrcvJ+s&qMeCH%W#f zzB0+@sWp$C^l4d$faXKns~WZK%QeS-PrStVh6{J_-o{PgY5)KzV0yF|rfPQ)VrJmw z-3Uj(aGrmATj#35$5VBupN}a?*4RW_==uZTJ{3nI(Sor|6^<irOh8xbdc`nx8xF5- zA-7!}#gkx2v4Z<k1yu%X1wdz_U@P7M{eVX`M{?-(i+5_a)LOUQACkH!1z2eryuKr2 z*MtDIAQo0OT%icE*PAY3zsic#E;Cg@+4jKItC-~;M4>eB4SBCuV%e*8%}|h$Qunt! z2bg&eg%d}he9t=VeP>qD=G8X^GN8eL(0K(szgaJuT1PN{AA4ndd(F2CBMp^!{2)`Z z+}i?V^UIF&J&Jx~L~%bf{aRdbbJcT*v~QBOnC(%S!JI~iVh*cG;9<e-GgJD9asn*o zdxK{KE7qgh#S)4`-wrR-<l5kv_n@hp$_Ek0i#Anx58HFp<pcC;tuR3Pid`|Zvg3&P zTXFWo0vxP;DSA8<d-V&i@Ch{(_Gr2W_fIfhu!#YaEVOUm)*a@8gSw?pj1G=O$GHt@ zNgrXjCgVW7;Q8dc+dt57BGf?GY7>CSo$rWGri3MR2v07A`3IKX=n1J0e_Jwy14@Z` z=;$9${gb$b>rs$L89e{57;a56teS`b^;f>5q>06x$7+t<&n3^MsR;{U)3N(=4jN!9 z$^&=wY+5m5ZW_D5NC%3s!(jp}SV(m&a3jAUS`k~2bGFlLOwWxw;6f<<#nc^RKZEp_ zyu8#c{uGRORlZl$KjR!>pgkC)t~3%=y3l}btx7_9#itQv*{sjn-VZ;Gb35by*65W6 zMG_`ZLW>TJ`U{vghs*=;Hs~2@5~{yuLLt{Md6J*}s6*7K*5|uzth+y?3)eU12jmVG z+I@PlXP5nka$<Lj+^%aZ-m%_@Jp2=iX@sW5>2(7fHTDGi*#``@<VyGP*m3>{*qPn@ zg4r~)q{?H=VLzG)wJQCLWN}{;lsPbEZrZVhy$#Kv)|)dEHa#)=cSt==nT7tz;CqLJ zh=w-o&T!JIVRPx9sVQG2IzpX6=e2Jc<s=~M;tz!O)x%#D8@h-7#g4-I=!no3Ls{KG zgx=R7-wyC=Y2+)2BB5@Nv8*RD@;FF=_=A~xsDH`|#S`$h&V;@rf~W!6=WH2F!B3i8 zK2lQZQ<V~ba~NS!09&|siU2jil6y#mK-I4u2m9|xdS#@tz{tEPJ!~{ax)AF*E6YoM zU`;KykC-9{DSZY&;hTsoT6U?ynJaj!TZ`?pR0y|DU-uL1{=ThK#D8n#8%wX&VYM#B z2wedo8RNkv^|5wVd3tYcOPGthHs8KaEQ$&n4v_PiCOyOagomC*1U1srACa0)kzww! zF)rL!YQ%kF{>aB$$ex*uE$eqoMG{H@EnKhn{(%_`_HJZGLowI^Z_xiq!FDV;?e*eO zW8*@(h`mB|X?ZY{pO&^t^TAgApZQg+_vhDwrB}eEw+zePK-Tetjo#D!!Y!LTb>gxb ztt&-NuQYbV#~YW-AH24*V!K|4x3Ug5kAoA@ev07%_Et+Ocsx;udkEAS-;z1~2h+Y1 zUifOK(uVm@H5Fy_;ag-T3A@MqU+o|D!is4>uWd-|dQN$o272;jt=SsaKMW_H>uKQ3 zEP)!n1Dv2gzfRQEetCbyFSsd#0BwI=^PHe0VEBu}a-sKG$1X+*!rwPxvHpey06}9I zVn9Xe<^DzOTyE<73r*oWZeK|B6Qzc)>zZYc9%2m{fhJqsiE{S=1P@k|f$D9u`30&Q zRahP|1hGHfUfebM@bKeJ$I%OScx`N5Kr!>d6Y%y1_Ja9wxKrIMo#o0LQw;FxJ=3b8 zEvRC~v*XLUb5VUo1zbSI&$>o{9`=IJ6y7hl3DPS1#<b?T!OS5d?_8hLc@XrP_1jBY zC-8W!KLb^sLZ?V9Fl7aroNHl6&w9c+R$GOPQmYW6)jwf(iT-pU(brxQp7dD##sB(# z!f);t9U(<Dp$)|mOr#X$XyKsR$t2lNhJTCG;;o#=S%%?&%oE0mN32@d`V3dcEAhz4 zP%=UQ)YV^32?6%#ka0ibaWyVVrPzSXZiD&g%@x1xU*s*v%+C9S)O}9Mqnd3(+;Mz2 z)`<}kP$qus0Iofr4!Hk9kje4y@7%MTuam*rx=wQi_{ypAWB07@ESHzpSdm+Px=#@M z&d2&}dwH(n#f{7=s2C2pH<q}`DN)oozRxisRV%R4xcm%vvHi)z&$RWisXST*MNSzH zdzndK0}GgMbv9)N7LLHbofm=L!niL?+~l{k5iiGL;R&bdC?Ca!ALr!ds{61}r>A{8 z^IV_Z60!yv(e5cjYqd%EERxz9%;*QBF$(6$y~d>v5B_&*bT#-d-=A-kWeN2a>!e=L z{pbUkx^JB^{9abzW$M}rG7x^S!}{-2A}#K^Qv5V6BAW48?tAXhOpy^3|7{ucn-BMV zw-YkR3Q%douI{>$T02pv0kL!N^Vj@`l}U-n_UZUK)W2Ajb~tZvv2!3d&u#4&KR9~A z_gMDR7UpX+c{I_3yLW#>!Q?a;vT4R3f3)oADi@#K%q7ANuLd4Pwv_iuV~Q@c<t@d< zKqdc%&tW>vR22ej3IJ;{f^f8deQJ&28dB#;K5u{!GV>ldC{;&;i)1S9gf#L*%&FX6 zFEuYbFa?_^IM+VM2;BjOw%wCeS7+9<$iSnmyQaP}Qcd~1<W>jg&c*(R{(VP{Y{<7( zi~VeuXIq3P`~&kDvd<@Dl5d6(F`ZIlp>NnPWb4&XBhzqlk|U<_vwT8oe{P+;NTPsi z-~exzF!RAQ)x3}XZk$SAM94BAj~pJOZG^wf;{72a4qt_(L-d%l*8}+<5T2q5c^ycX zJKo?3rV5*Q@nhdTs`x=RtUJ{9QhXifMb_Ro`m}eq{J{(~XaQ~n$oUB-jOeg*k!Xg) zzIyDh+8?VsJRJE9YM`c(S~h<F+>m4{Tq`t}#}J*6Qu3_*oX=Rz6aiL}(Mp`U>?jJr zAbD{5%2!`dlHNVXM-40Y1r^l6A5;Xwat~$mmwyRvxlj-jD<_j69L_L3aST{bw6Q_7 z+TxPXY+B&z-DFC*NN13DcJah8v9dsW@=uo4%?won;F!{~FdY-c6I!t)hlBPlwl1L= zxHN+1&W(9T(va=`_gv(1ZmJ}_M{m~f`yU;AAOdxVx5K3aYsMsBX_hu&tmb8@fJ6*& zZaipiLt?_e!fD0Jm3_M!FKy8({(4Ay;`jxFEuw}MAw_cgk$hwh=xz7?$_`LNYGZu| z$9lpFflAadpP|ObHs=x+<G!XK?U7tIJd<=yWLmEm>DVhlC&s6nr&O6mxr%Vxj|VNc zXXC+3Pr1H~AIM}Q#Z5I2suzl&n)@QeTxcug9t=J2tb?s0Ue{kvh}eqgLoD#Gt^1Tm z!~e)0kEJ+Vdg@v>{Xw@^>%iksEvhI>%*4ZdjC?FC8@=);XW8OP{)2EwbXD$4fteFI z_SpwH&9jX!P5*(l*dVE+LS7-sD5DKgA|36s;ep9Fr^jcTYd<LcnW6LN!v(XrkAB>E z=<*_>7(o^#H2R7%(a7rrzxXhqQ4FjVU(B2HN00mqCQtlW)!%pzqmF|KFM<Zbiv##> z*{@;xs&}XG7L3F1B3X{-wQUr0*a>1yUQ=`9YXz=%*p|ssgp&Y!L13+-2v``uyMIV> z8)QeZChEV-5Lm!1`6NM-<E1XxrEREAO?%Eb{DU#_Ss8bRlKYdj5>!yNoc(n;5;p!w z)oQy*%FdTVp(-iRLTDkGo=2S#Id`sd6y$iFCk4|`{N+kj+8~zw7r~oHN?wRMjVB=U zm^1|%h0Zod=`vNr;dGTZX8)EaX;zNY$KtzAS7*%sE`<>`C<FwBfe*zU*jvedy5J8f z`iv&x*;t|+-;vzqtQG6q{VDl9PM=w(?n*RLYA4m}Y+|u6BAIF4@m37E9u6{vsGQ0D z*3AW|AP@4md{r7P)1|jiR<-=I`pQq(gCRc_Jgx8}VY^}FnRVL{Rm?8Eqtz(D3+yjK z(l-1$8?n*J8+Zw;IQO=n_P-Kdh@N2qmuuEIeuhe4PAlPOdMbXf8mb|V>r+FjeCIvF zqi4PSSKY6mf#$x=)@ikoFRDOj<qZ{l=)f~6h=($|3AkOJ&W8^^clPI`vY$F|IHZSd zgm~eiJzKkE5wUXH(MZ%qb4hK>D{C6MG8))S!V+|nh<;OLkMp9mIpJuOX5e*BxkiDe zKh%0Pn*5aJJmk>UcA%Q4mf~<eiZ&WTZ)z@_<x;}*k~dll<yaw<v+(c!Z5G;Fr(KPs z&N~kpSuLG&s`xOO35U8B=VGI&4ugx!%281DE}w2+7?sBMHjB5Loap7i<cF;tr%q$o zrekaxUlnr^+3RlRI)<h5@N67DAbi#{db6+L=eY)mq+pVRNz1w=nRV11bRBPDf!Jc$ zD8u`V2dwg$HX1Cjw+D9WJJzFH$kfWHI`~I2GCeH2JEzP}z#97+4j=<%kU>;H0vICI z)R!zcuO9k{j~_*mX)`(UE)topb~B-#BF-qA)ePwn1q)aR7Rt*dEqNn!DMzG>S-9($ zI(Ymr!dF1&PwetO1=L4>#?f)#52PRk%1Ih>BdBmcY%xTN7$Q+iA8c}3dY{)hK1wc* zjcOc)41bf$zp0`?m<p8Hd8W%M*;<M)Dy(D1d9+)A$<M#}`;)`~h(HOql7~3hUyD~n z)eX8iTc7F)eC#T0K9vO%?9x+7o8_b`Rm`wk2lV2`PmrQg9Q@zPqU?%u_H4x5!(t$z z_#BgJ6tlNZWj>D!GArQKTx1Dm=*s;+<nMN9V83?o6~{)EW5NfUhU9S{C^so;2@J(x z1N0IU<u`i|G8x||g*#GMhrIpwAic<mgidH^Z=#MItlDril6r7I)sab<QwwuO0v0UT z41`~tpnn4Az9x&%17_;(#<izntqq&B2<smoaDhcymRvgL2)_28Sv=O~2B_FDfUelD z>pK?;o#!WhjfJw_P*!WyH@*UvnN191FB-@Beq-jH$qiWbS{+14I47B~S+OzU0x+m4 zwx?;zx5Vx~WC}(G>-4s5#t?;jbjx%a3CI~MoHnu_K$U_AGs^*j7rCWFrtVzjVg*vH zWdH4D^}qw`$Ha<7PeG@o_X!2F;jdqJ^_0_NT6?s_9ZuyW_st6OiN60PU1ZAg5aN7l z#P`1=sC`9>{ZEVv)Oge!_NcULbQ+{Yygz-|y&uw>sWmh8tGr{F{X<M=jRZdL{|3~Z zkXaKzK=h$Zr6-$%+pQaWO`69bQ;Jq4K=#Cp1f3TviqENzl&68$%kKb?DLTu`KV{{z zTh{pw6Y#ib8c!NGiib$Bo`LOt-ERBeIJ_SK+)o4O{oydMUvcn^NS$9>>DlHRo3XeG zHN#NH<hh09@ROyV(o0?@`oi(CKk@$CDs$9LAY6pU(i>N@_{4Q@BF^qFTO$9`oLs&7 z@NHD7(#UlCRtSU~(*O^I2BPV$3R;zE0QLPwocl+Wsk15F%AMvTBGZ^B*6lXZNTy{g zMT}f9z3agz0t@(#!P!Hiuj2?J&`u3J>^Aeu)faErvd*%s+rnG<D*R=anx3>@pP<CG zvEP0^9rhd^oH<k;q6%S}`J|e4!z;s|LLR9fepmI$=BYoXgL|Nkz3}#J4yE+>2thec zbtWC-j`K;>_I%gqu$JJ|a-1Bp4T@l2ni*~XPulgk+|9+q_=kfD&x@0cH$2powPthr zG#1Yq7q&T(_J0)_KaD>zkl8uYBj<z-idbAOhpo5YLH#N=CgD(TPBw80-NOKo`-@Tt zyZaO)9<r3Uh-sxn^iEgaK>>7+yj$~AylV)M2Vn^V{*$u;K>z#|6m1F~N3ay$`--8A z)^IH@CY_w0?pyL%45Yxmr{t~b7G$f;g>}A&1llki^@*AeW3=rX>Hv5snyxjMYM<j^ zTsbu}o-~hB!pwmymWJT*_2an@iZ7Tms(XG+sUo0!Ax8cuGzpqjj3^=-bl$pKye{{< zV3?<JuP1u<7rJSd=mJwv5Mo%lK3t-^$Gbr_wCmxc+Y!YJ^5AQ$`;|2KG#x>UWD&n* z^WgXAmo;Vj-3S(@{SX?)+~T9g-)9Ha%~DPCn**t#-Pa<e%VC}%>@F>g0?H^r0`61$ z3oYr_`}2)vsBeN{YUblcbwZew9ZXg&6m(>v93B0TZpWYgx~Dh$)_u&S=^BpQSeTz& zt1v-_*0frF9~)vTXBL)5`Y)-kX}U^l8eyT1*qAnsC!(W|J{;{;*KEFc8FnBy1e4J% zJ4LtIP*WV;2fEwzW|+gtex9=5cexKYOWt3P#zK2o)ij4J9!tUl|F1{DhCyVYi=yse zV5!l7?aw|f*uanrM#xFO|HQPT3zAxOPFUj4S3)WU-1@sOe)fC*Tk|BP#M_Ry*x%K) zY*-C_Uhs}P^nX(}#7B>R`ML55mBtx)GIOU|2k=y8o%2rhgnq;Z<4a>r8c+7Qvbgov zzbQbkMg%(p@sHzJ*D5G}P_$~sTy_8AGiv`!DGt<x13sr*8P9*C{!d=YT@~&oWJkqD z0CeIoE!e(x{W`VswIM7CtFEM8%IC`WNRe%J3KOBDG43Wv>x~M6dg%Q=4O0Ty^ALJa ziK(_5?%BwHQ`LUahzVA!PPTdsQ+x;%RM0Ut4IiEEL1>$OzE3w%ir%@Y-*Ke1*Y95T zN@N@JJKnC#4xD|=ce?@1naXtm8vHi}MQ?EM=z}5g9yY3qo0zXpn~`Wo?-}Vt#TrIZ z{Prg9N7u3fWx8Y)FTPcNeQbdG?<lXYAh6ALwXk<vpEx|#as7_0X5W?s3+ecRi-I%> zpWlk7Zv9Q58pBxX9zbBp<%g(N2%(yYDPo}WqYfJ+ryzQlmWJ5Hm#F(c1(J~HLkv0! z_tKapaqatYW<+g<KPufT;!5$fd8H;JTeEyhe=pp3bS=%fRFh|(!x|r-9@do~gxR66 z5pR8Tyi=wwrf*2p)IjAnZqL?75M+SfA?UgNs%eIW3HzDS<^3cIdV}bZ+PCcS(82R^ zhXN`ui#ah`zTE7h)JQ6=O#ZVR2;;d9n=iQivO_K3h77$%-C?FlGNC$7iNm0KL5G{I z9qi9?gYoWQ19!bgpLA`Qg__mq5TWXqw~P$<YKN-HdC+Gv)~nZp0~VODrQ_CcwZ4w> z0}mVN>B)S#C*IU+({P#47)K0gz+V-x!BeX`_LNlTYSBu#cf8$^4ZSV>+lfu;Cw`bN zkSYi^^_wxQ(66}g<AHO5(tnbwgNcI5qV17Oe0E1V1?JhV2c<|M`Y7C{x=4!4ceqPo zB}sw<?T2QD>HHQyzAq_}qGpk-BNGZIH2jo&6De50B+Nb%58bj&A+M3xnT-OS3eaWM zz5x<Ht=5X3dX8KhIGL$q9J6(96iWg#X0>u>&j>lUFk7yM(ZA6!F>TKVHwZSExrV7Y zuphOILd3>cOXJN5jrK5v;DC-CkC-ewGFTHz%uvsaX8Bg0cK9iX1dyS}E;oq|wEl@{ zwNU$h`=_7<{n7o`>tT<bTEoxb7P&_H)TqDwN^&f+d+Ks5d0P2J+BX`3L}*7s+xPZA zzm5$CZ`fjZOf?GCNRdq!pLcc03bD}>4QZHN;K5aL*zIM3o<|2k|D8z#t?dULaL6T( z;ZFR1)3+j-%>p;!A5*nCy=H`ybFYd%U^#jWKqrKHj1ht@#oOmUZvDPL@cVs;8#_^A zPCkc!ogQNnWxgi*jLChXoe+$DXE~JI9G8R?pj*&LM}AGnJ@iHbnT`nA);FocnieJ# z_mzPEMWSZvqb&w-mY|3c!a{}6bv3vqyEYQS&MO-5r(S{BD2(fER&j<ho36+<{w5B- zsx;TYfj26kx~U=ZLQB6ztxsD2<bjNP80G#V2NGQBy+*oto}J;7x!v2L$|d*`ze5C- zdk5B2%kgNKPl9UhSRuioalTQRlzV4~)!I9104m_~&V1I|9T((a_g8y|(NCVs$$6`~ zPo=%z3OTV8D<B285P_e$=MCjy>)TX-Zll&ba5!t+D2?-}pC~aKsW+oexO$DR<A?Zh zB>RaX@aU_MBg!Bmg24%l4xlc>%XV)nKsSWoL83%t)A%0jK)n!Af<PysT<`4+g&b2B z_)36{BM~?kT3DIFx8@$l{BZQVM{)Bp@iwN%QWk8C`)P`3#+#&ip2&SRPChHnlN)(@ z*9~@*%-Xvu+{aU<xxJHBB8$Gmh(5upyzUThcl*OSGe_rbKMyJs6RK<86hknv``>Rc zGL|E*8hr>^ORh>&u$5{d{(hEWzSbRs*$JU_n@yZ|>q&jmp!>wp<FaSBGXf;Psbb>U z<ez<sBWtYlMpWy1Jvn%u#kW&dh1c9G5NCjzx}`*lp2$r74*oNw-#R$pjc4n3V%Mvu zjpRW8BBP|x-hP@iuaqJIyNP7-rs~E}EF<+WU(Wd_vT`Afm4eGvn9`zbn7LAv_JG#~ zv%BZ1gh@StRp3<x!2n>9e7ybh=IK>aQuKKRs$58O1;W2exNd`5nL+-aZ>-cF7%H%; z5Tor178pw9Dr<y)SIHm<Ilt60+@ZA_Z(SGQsC^19Blg8sCT!d6FI`3~8dBv26x?X( z!0~CCTU~wk$H_)7v`oj~IBbx)#QBjmr}SY;E9Ye3&jzUvF0f%`x-sOd1#83$rRE;V z6yG`HNg<kEsr=kIO7*FjDj5&RV#SUpQ`MbcYwI=0y^yVqg?9x98Ss#`zyo1V^y804 zkrpDX`~)eQ$RRL8$Qfo9BbNf($Ce=x|JT}=KSK4r@t+xku`i`UnL&iSEoCd)h(sd$ zz9m~JMo1)cTZF7hi=C7$TgbkQ2!*U6dl+l>o#B3O-_Jkr{o(uLJ@+~HJm;KyUgx>@ zdCu#>Cjn?7RG#hw-~F!KlkInKETB%Qt_xWWmCRXm;O*F#;A_}=THv9L7{A#VK!q2R z+@gk?;xt9=`e;ssJrGjB$+_uh)nXDn|I+^DRv^2}L<_LMFm7<VM#96S#^m(F$`&us zs$6a2v)$%pemsWjJujx*nHOK!s>6u?Z1;DXy9cJZ3u&p6#F`>DhZyZKC;}fg^-}3c z+O5nt$83~@C2Mb>H2VHqr27q|Q5qgU9G7qL$sck!eMg}Pbckfh5j8KD=#nLioOt~u zUH<;2Vrd`m#pip)^Rt6<@$+N?(L3Y%Ft~Jg(M(A8iyDYVp|heFg`dbpg2C?O^c@j$ zOm+g_u!OUyUJnS#UphOeg2_OC%k+0n%y0ejGb?+?(*blo1-Bi~qRQ9l!vrrL=#N&| zeN25e#rN22&H;7pBjP(F-$pwg&zcp{(UUkw0IBq--jE`OXe|Y|M*X225%JbR{17U% zUA<<Gf}V})E-eBRZ}*o3z|G{Y-dM)K=UA|Thj@NF3S^ykA-+b*gt|9RJ?{`<qI3NW zo~H*{g3;tZ(xA%F?fH-3Kiu0HT%7;6hS+Zc7!9xIqSFtm@EuJ|gJw$;nCw-o@vtCz zWnES7k%$4QfPDn7d|pkB1)asIYx;=?35F;Tg_vm?JN(Ozk*(s!lj}Jk<9-9zDuPdQ z2jN1|x<g%p{t;~I)uR?kKNwU`|6tJ<hNj#X*{OFY(wu|PT5{m8FyTSJK3jB|$NNTo zWf#sXajw-(rw9O}FEp3iHwBxbJClC6FxiJ3P=pyr)g?3g>(9@+qPjwL>R*xIay8yr zS}E3x3%9dVhWF3?uQfeWMgnVyA<b;%y=Qq7sJkB0rRX<CHzt1!c5-`L9KnwsOfJqb zyX!P}{kmeEH0C}}M)H!QdbP!Jyy$`V6_!{N31}es3CJ*eMQhmuDg|WS5dLX*5#akM zw2w{-WD$T*kse6%7I8z1G~c7}MUM9^g=7{z)$rYDyy}4=k9k?n_mQbxLyE<;_KP*u zeUC;@fTMWmqJ<Dd#Ce9IO1%7vIEQhovGUi-_+RwhzcKV2BSnD&!osq}M%AH_q;)Yz zF86BF!12+taCS1H-1kK+K{?JSY21iDs>Uemot*XKB5C`Z%NmEiY{}B|;zwtf64TG> zs7|vDvJD@`&mBdhkP*yIHMJHO3sx&mWsK9J`X}T>c9u?Pq`3YK5=;Awx=lGy{|_>? zG`PqiR^%?)SbN%{z`6nGJ_Q7T>b-I?)rcdFlRSMrIcj5D60@!Coub8`&qZ*BERRCJ zL8tHX8TqwOI8K6nZB}FAUejCuO*^x4Cw9W4(~}m8MoRaHUohvGqXn5rDO02QXwHaN zeF6N}4G><jY9TdLwTW-#mo1vf3T;d|9@^8A2Qgjj7r5Jw5c*giZ6q-6KM>4yxI4Jo z{pax82Z(@#%3qR%Opg&(uMM>Dr1z^D0cW=#RACOFfYdgZ1iCIzDQ#-h=4&(&mwjUR zTW<FUjAvDF#X^>ioO^_#J0lCIpzW-rWQ<1KZa36O;0Kv}Z@x=|fq#up7hMH84u)v` zXSSMOy7v_*6@L=VHtxOoJ8Vxfc#;CM#c*fT99fq7MDHr*Z0*5@ZhUSue7Ubb1Vu(8 zBPI6MhXrC`{1LYC-X%i&mBtJy=)q4>%kvuJ$Ju3``fB_>)ioh7kQdqb*W!pB65=6@ zjM1}ueoM7lPTHD>&AP9=_Ut$js-%o<5uZ-isP}vVta%(vTk&V+KY^H($f1Q;`H30` z$*G03CH2nA>8JZ?hy^$Q`m>c{ZAV{3WA)dthi>oJW5O?AqLgxwyYIgCff$&<KS&cm z>$^btu>;mUZCYbFv{J>Hz}VnalGW*62~$T?CVTGkmJ44oXowc0&o7UMp713J(A+r< zKJ%vy@^`<iO9S1wOdloB`=6A=#&HZtcM-&Ujc(zlVLf4=jv6u9cf^w8^ag)?7rD!~ z&=M6X?!t(-OjzPAu8eK+B$6sW`5OO00`|=bfQ$3$^jSuNS@&L&!@lDb9JAkN-Qk$s z6&bLLZNjhmqfVGj$u@Om=<sHYgvS{y8E}9`0+2;!X3v0}3Vy7S)=iO9j!ah!Pmr&B zt}7|xfs38)<HxcQL4GFWr-C5u{!Lx>|JBK1)4~BOM*Oci&cXjG<pkj}PRQWiIJkc% zI)~t?JLzyoH84IOIeNHmxIBOb$JhxG#sVO{^`jJQW^I))Dr5Lji-~OhQbbhAKRS2t z=_~lB*`K6c#pd&i<25=Mz=TcJ?8D-3^6gwjiMyo6@1JgrG^kanbXqewmv)R0u)*JZ z4*U98D{1|cEA<qbA9tHiJa}|L{)iZ|l(qE1oKjm0{2Kkv<J+9_sQgnKTJ~W@CG2p# z4h<bvW!lj0{F%d~<*&HsE5Rhen_O7nj3}7<F1a`q$W$zBS9qvk6MZ^4QChE{!3|9B zF9e{+ZlibpEHRKR$8!<?2(rbb?@!u@f=31vbW814PGPDE8oS-6@pI!TTiErJvgao7 zW8~lPIqH!^;t}%2+ApjqGBY}h>6VuM+jF#}1Kq+zZ;7xo!@CiXGNv=qm+EnI^Oj)L zGjUGB#I)C><;`KUopaRP!}`d;W^lLeg9YR7t$xniw5Z<8#^43iK8Jdt#DSN+aHjak z>3bhoN{RAr5sXbLpUI2UgHuAT7L)C*DqGdK)mGOLNxx*L*IDYYukxc5i#iO^m7QQB zBaL$XS+IV%#Y7t|KPD8I_3sH`n^9I6+URnO?riV%Uqzo80=XxC)f&dtKMpeIAYNoA z=w2gL8cKZfz$C3_;?6-iih^EcUzOKrSMW)fbTAkxZh~DV@$E?U#iaJf%MS5w6v?uM ztg{$BI&@YrMY2B%?X>K_Wfv&pqwzjTEa&R<;%7tf`CzQ}%h68rhZ?G$q+TC?k*eY} z-qz0^XEtm~9BeGjkXYvcc7k#nsnngbWM7#zhX7u#dFX@5!kl;SGr*`sibjHj87Eo8 z)o(9>p|tr!<%5XhlT(kW!5kQUme#SnGm!bQ3T<Qk+hXH}7O{3+;mSvw|B{}nS9y1- zx=$^N@Dc=pSDx=1$^VRCy2g}lapRF(&86j&Cr@GY*$(UqNqiM`fZE3JGbQRRY>1wP zEjVj^`kp&?zgveiX~c(wn(8C^Z3p&q_s(gs16O40;-`=_^QVIeks!v#KvEQ<1U;BJ zxvI6;K!<i^_Ust5bKkg9$HIUCJnRG;Ya4KHIwU=^VbkREgq<eHTNk?-bK6QBa{6)* zR}cz!mhtOqb2>}i04x6<&4@2xa}6^9H~MZA;y!*z=6-m(pl}VzHNc4P!kkdWQfd}6 zHkYp0@*GT$-q$|7_KRNKrd0p~5IaqbM;ojqIZh=%VTlKK6_sD==X_mcAU{m<jJu?$ z9NN_aYg#N7*2kBy!F2CvcePb}^?r~rKn|NKkrC*qdMmtcEd+J-5?Q4$;H`_-OW!xA zu-{rLyOoPDQmLw@zWW$2&gj+ex80Yd9^rUlI&-_c&i?bqmc#|&dU}-cW%&4==Bj`_ zTnr%_yqOprXG&8s6n6e>36^eW*C|!|kl>S&aBzp9#TV1cymh)dnyqafcF0VT2jG$1 z(C=^M`kfAR^xKuR^|Lh0_2SB1Jty^1I5sp+#8A$yX28z<&f=Zg4;d?685xr$iivR5 z*p-#O5AQ)~K7%nEItwcbQ4evxJ)6>nC!PF$^ea`3>eM_Cb}sr18gonJjz1G4?J&~* zeFf_=N#UW8)_;g_xvk=+Bc%AJdbP~<6wSKY8}9Xy<!1_WM#_qYSEd;P9T4WnrGm=O zVk@^qPZe5C{h%YdJwf3S<1IwU=S?7ZSX;4jLhXDy4~h3~h4XN0lB(gvbpFrLQ8(yX zhd*~9yCQT4rLk8ifP0f6U1&EkNIPgIicw8W8Whx*Mds@msx6bURs3P<)L&*1UX1Hd zuqpE~MX&s`K)(9zZuZX#DkK7pOB>-#zoH&a=h+ON(>itVfE_%*L-A6UAQFUgJ+_Gt z7A}98F|6g7V=5{i;=XJfFs`((<bC&R_*Kxye7NJnWkep`UEcn?OP6{C%ZZ0_%mo5| zZb;DI{Js=qtcDp50n=oU8F#*QUt@!JG8lGo<4uboX8k>bPjyjflszD-f!7l=mHAbb z<%O<}V*gsXqe@pBIRCP6pbduP_}WZO>bF;=79Ucm$0ay5K{P-aUyTE%N8f}GHHuN_ zUM|k`kTwly==6;<tX}Uw=4Kp_g-3MiXO{b9f!R|vMvT7bkByYF0NeFU56aaI!?6e! z_L}Bro)UJZ<_=Pd`$u{L1>HDk3uAE)NmwAxPRN@rc0Rz>Sb~K!OH~PyLpt(4Cs+z= zz~1X!-0-h8RjIOmOQ9O&cwqk+%sX8u9^1ceDG7NqrS^hJc&1an+3RVuwcw{xYEH$Y zx)=*-b>+OTZCn#W>PQSdxIL4BN!8k>R;iUVxqHo8oxj-7Y;E+rbR~V{fLD5mdrAAi z0qibzVZad#5#xRZ?4L+YCsjN<<ibduu%C%44QXnyIv((_Y%h5nA*%f4735VJE|Kb8 zjo9GzT95L;QKL7S^(BX;@@~)ov@Qa5@@6vpGd1qtU%q!Ahh^`WwP9H?6$osZy_VAF zYRzoMt&lM6ZBB<_e{je3)G|Xpvd^3nMQ@2*dYP58X~mSP>R^G>pHd+R%9AR^N&5yg z!+Taw+@1ijD@ydkY0w3M{*H|?W6;3D&&c!&BPGw^KYy)t_w6PB9-msF0eXzSVm}8Y zq3@H>vS4Dl(g9oT)}~Z8Frr--De_|&EWfDz&gVW~%tHv=b{P|f5(E?4)?Svn`j}y{ zXmbNzIOEc&;PR)4R^cWcGgicnM#OCGf4cuuKvumvUKew25U?dM;0?d6UjF783h)eQ z1$5PcN!5Ys!)xo3zrDCoquOA-GJcX1MPNkg-sghkbenba1t7|caTE2QjEcs5Z{3#! zK_LOK*UtgN)9Wu<tDi^Wh33wJ>2%E>VM_z>!;*51f0Gyat%)?80b=K>^J($H_vXY? zZiJa^Gb&r#@-4B{^RScEq?YLGC<Y0+3<U0kk8Jkk_+dGbQ?FfLwX=8~-O+#SSF%mx zMgUjr3;0#Mu;xR`#g>3=J&$|(3Q)!DyBXIQ=2ciE{0v-Z*@z=QRzn2Opx${wC98ER zaJ$>*+=YOkVN)SLMO(*04N{*y9UU}@Xhlv&6DRcJ;y+0hFcj+bTTN~}dhn4CEmdan ztD6Hk79;osutF~ntbSTbufspkTHYN|$4(sfv{C#DM=vD<Rt07t^-tu2ag`4fA?011 zm1flY6ry9|Z?_pXN{91TK-6a^qXzUryHY}nE6UOPuZJMi7H+%utlINQCv$3>7#=7H zW5>a}r(Zr5<*fR3PQl(LefQBV^B-@`*i<VrzV6`L#6YNV1YGuRT|?!Dit)p|?Q?5u zj&JfX(Z6-ac)l1j;P>Br!~#|ZbQVqxT=o>Akd9pYLCLk-y^}9~ulbfb69*t*FhnFl zY^)4T<7f)eSR$_A(M6AA6m;RKX9&|69#StH1ovm@*S(us0<6H04WoXwLBjB*9z!)i zM6;8nPkgQ7mc+F95~N_tQCW367}{d)!xDVHnI(h1@LVt~fgL{)a<IME`Jxei8aszV z-RWm2(Pgq1M8$4qqlQ(G+vSh8Y0)7WX|LXzPAQ@XmI4WLc@y$ck*72yp>8!UXowzl z663pa-wIWp=6<DC5YpvA4Te3AFr0D9QU4I>F~$<R6ReKR+mm5T%fJP$5K{-s(7Is6 zc~kfz$@kYuybtw;>?&I@9qMEl7dm?1XjmgQrvC_%j`q@n1lrQ?#ShA?i@g^`1MkT0 zvNa=8;cCF|pwFm^f6!%V^nFj8jbyM7!n`<^bSa&tqSi0`s~JOT8UHHV6-2S{7;S<W zO5=Ld$kCs(wV^!7zE2EJiTG-?$ekIJSNCEkc=9QT)bu-SmPokzF*~;Y&#(2O64ZM` z|Fb-)a8P^YKz~()NG42VWhZxuw857_9`E*xS9A6ytRWZbK7;CX5scKN`xqxoWJDxd zbn;a$CQvFQZ}M2)c&F9v*}@-Fdr!jy50(XF7L!9`LP!b>*m2jX8JIJrwc_yHTNN&t zDQ$(tapM>o8;(A`9sVZv_Y-v1aST!BUQw&^<I?21!_;}|=cYu;3X4;TF#M{_Yrq;b zswQGFM1_qxC!e&3zW0ni)V+d>!BkiiIvrG6v*t72{%{RUsU|WYLem>pod>MyfwO{} zgVzfkE6^ugRSLfHe8*L|&ryS4JqD3i&o#$uauVF07YoSFR5LRXuI<SYx!&ShzneT( zKRO)sWaockVn28cK%d2zCgA1BgT@Xk`-e`~`f7_pTG5}DreC3U*<5H)CtrEnX-;z6 zYwO;X>&V`v-q}L!es`OJi>`?RUqYqH$YSO-V7C7P*z#eBT3^-U){C0XlVjqA&{E8) zOwL~b9p4+B-a!NU3-Sdz-6qfer(%e-^cBm`)uRN!Rthqr^)!pEhz{$!!4;6PT3&|O zd3D_ulEQK9c!&%?jY60>O~{`_y`PkjgR|QiX$~@0mt)z`B5O7aP`0qyK|HYK!4Ng} zygb#wl0Y$wea2m>xC1A>R|1>nani3BsbdBpPG0yMAWE>4Il4*#GtE0c?rYAZG#|nj zRN_$i>+3Xz9~2Sxf8@1p=|*eWvC8>7M7FkIbV=D`?>n`T^)ofPsftBIUjHP-p$&?C z&vbi(%$V@Z(%rzPm*${w>UHHxw{Jf$`P`?P0(VwKA08&kmX3K2Ejy2+z6d@RwoNU# z_8<xHtl{(!oIf2$cjCxUC5L`Fy{oOn$!deM_A2kzH{$5GT|7Hx=|T@^Gt#1yYFQy( zTGYvyB4IM;8;AaIP2fKFvNMU*dpC$TS@it$=Di=PTUw#N^y#acfQ{~Vk^(<=JavkJ zoIn=5-+p#|OhSddTvIM#Nbfkc^yW?#+rp;U%agQyjP|W;xKvIAQ@*#sbGGh(inp8@ z>;z?xZ1Zq(*=N>lYM_?sQqpOjQOhK)&Ch^?Obk&R*&z^V<C%kUnTzO?Dj#CuhKZ)8 zif^O^mvYtn)q(5~HMkgoVja`NGr}v_FcW%@iFdoI5gNSw1xE-I4p0ej1>{?5p!uUU zNJgR2Ey}qGTTM@9E(4t=wz6<72K*8jF^Xtab%I{}lR{z`(`!!B$TYN84;-Bsv;2F< zm4Wb1M2rHDgM!isKTmZTm;)ptwuW`l`@A^$C>d0^^?$^$BRlSg*TWKdztJ+|&-kSl zO{qf2+_}u49C%Q7I1`G%@EMaAbXXxju!bX`QRL!vjGwf0knu=1pEgP(#(D-iTg?H9 z5x{uj3wph{0s%-(r541hSJ;lkSmNP7y?7u+E2Y=z`DD|7raj^YaBI4rP(D>w@Y4Lk z8V-;A@t9dPSk;8~GJgd!*_Xx3c*)nvPF~@M2GqWj0K(v>tSA2BkxF|&S;)b?p3V;H z@Vnp=VCW;Tfx@tZjYhqgyV8FZy_${^&NE}L%V{;LR<K4hp`m1RT&N&q<B@#xxPvTx z3kix)1D!`0Nxok)>YVN>hwG=XbXHz}!4IQMp8|XQF}R6NQ67A_&AdBCmx<zlK@c9C z&}xLku=b+o<rreA^dcA(q^58fL9Kg(noi++PnU{#ZxE*6F#Gs;<+XlxXm?Ty!>$j| zK!g?{Yd*_B5HH2iq|#&UZzA7&am?(qf`b*k<4Q<u<iBdlpQR^8n7H<#d>d{^{V^bP z$kL80U&y$ngt8vf1i@(JSGZX#$>Zce;xmmynmaT|{AQaRIkIBm*f^G4tGXHZ3n(aH zK~Z@m>e-~cTpNrrXG25QwwfRxjr8{y9<)$yqp@#vW>m?-$i)<8?KleDLB__~9Uo{{ zjRwI0MUaq8fw4%IC3bL>7_<{{oN(BH+NHkD@Y`%yS$kVG{VQek`q|M(2P)M=jO-w` z@Zq5_BQmWI0{nYY1_F9&YVB-Q1c3tYX{E%-{pkg}6jhi}mdOkNTAa3qnsG06hf3`Y z*j!j|Uaoq33JZ{reCXBcoNmfm%9zd1{bjp@#kIADkpT<=0B~ixCxL%yxh_zZ?l5ux zAndwF?apS=S_<iw?SYx9^~#99C>{Wa*WMi!usZbjiDcjcJjO8IlaOyhgf~;Fmb!4G zK5(tA4dUVj<+MvxUV9y?vhTs+ZvHaYd^5wLXaB+e!{S;y<Ul(ZM&p($d-lx6UZ8ip zQs9PhLci94v%P%~kodCM3RAarzVQX;%<s%@IXyb047CQY1lz5TF#|$P0QF`Mb-!Rc z24t|N><jJLnS<@5>_jK^*Gn~&8_%-~3Pxy;(>fxoF5@S>`RCctb$iS5>c>0tu;bZ& zkCubHCG)@AiY3Q;jFJLwR=;eXu7V#19`;}7-S9vG;|Ah1wKs{4sfUoV*ZS4{GO&^C zo%D|T+7?{ZKdEY2xg@Y2!CYh2(Q^g>A}gPyOG5`-z7TW0oc-^5)l#Mv2O%>%GtIw& zn`D;IoN=pmXR&B!yUIOh-mAZXB!7QZHE`9+*A#x(Uk{&Ie+D=I=`ITu-BE=LzU&*e zcz*~S!Hq^)MKpV}u>pPho7>x+{mWyF6AdGj6kZMj>AgzwJR9FEXXPjF%*P&?dej@{ zRm<%a@ZL<T)x+Dl+rJjK=G}?kTAbecfq{WXqK-=4MeYHcx^`SMD*(Liv>Dl?JUCyT za*$9zVmC|_M9=PLH~l=k(cRJ0t5Q*7Y<nOz+%@4)(mJ=_oIiKZ!v9te^UOAGtS!B9 z<YX$Tc<kH9k)D9f{-xKSs|;F*A6hHn2QYQFqu@}kcHZTCWiUN}*n`j~B(C!2Tk|US z3T-IR4ZHYkuTOTy&pkh<GQ62hRdC*K39d4OcbgXeF6XY8$R~OK9uaX==$=&aavh!j z;`;z0w=xugnpZ<l+8pJrS;s8}CSJ+k=e1<coESNF{iZ#9cz6AF@)kVTE;N%;$uxGj zW45r9Ql%H@<(nRTsI_jsDy4pZ>0&V}8vr+cV5HiAc|2d8&-bm3I>@BV2z?1Yd{3Du zY~4NR^^v{ff8j11Xu0oNE#)iE=x5D?GqurdIPtF|Qcmc1(<Bv%n)U62sb7H~91`pI z{3|NDoU~Q%OUtoN&!tbwyx(_DrjwC9N{14!N(f?Zk4)3a+U+WzCo3xf@Jy7G9I$sF zL%T*PsY>a9+m%kQ^uog|9f8!^I3AjmQST1L{T=s<?J#kBzTlv^W197#_1H+u_DssY zM5-Usne6jfyEg{r1rl4O;my_&`O!ZpfWP(<OdI{ZVLI(ilU^(Dd{GeBvGX=Nz93k6 z#xF^^!Lh&KaK`=T-!ti6-xD=19zWNi%vE|1d7oAUWaPsvS~*c0{em0JQKCDww`%uY zeAi%VkI>6th;Ilr(jHMuy^-9sY?JjX1qoR_+?}i1ojusJv13hWtKtp1c4e>G={vEW zAn&oElTSkfCH(nlr1IRL{rxcnKN=s*#j@S(<3v_>;!zB;JPg?ZAZx23x6aW1zZ7;M zp#ne;fpDN8iUnZ&!#}ur_2ge60@?pR3)f(=XsVj68y6BQ2!QrwJ&pWJ_D}u~@r=I9 literal 38961 zcmeEt_dC{q^zgZFdyj01vI-$P!krx%nb|5bB2gkEcS}-6gpd*0yX<)vB_ey4?Cedp z_w)AoUeERX2hR`B_59Fvzc0Pcd7amJoqf*hg@K+X4J8L90MK00QZob~ML&rM<V5IC z<EV-@`a@@M*;rjtQZf#pwY7C?YYRb;WVbLb^uH+XXqn#y;Cg=a4--DM>Hxq4m((sA z`@CC7d{LGwPpfu!eIFV59S{j8_$(u*9(~9$tM_BPa51IqET<1K`D30L!Og3~fPOfI z0{WA}%?xmnej^PFJmilb8Uqkt><Fg>JP-Nq6%5c5UsM(XK*2Og07p-JkoEt8{_inD z9W$zYbY<1V{}1qfW*!whyzUYAHl}=QN~)L@j>K%Hdea9Fua3m3&Vml`N8;FFMg^n) zE$qdD&yf@ce6sn25QEl#-=zRHM{+unN2Y?S`494HF!UZVX`|M6>mZp2&Z07#QrJ6& z!2kKwzl@DIlJZ?`uDkW^)5lan;|PmwmgX!1xRXZ^%iX*r(D$h8zhz2S4(WjDe?F~0 zb8jHR|9#6VUIzkVeniRe)mO!ufZKo0iV_`hxtiU1id}hUH#srBHtL8hzM+LUmvF6C zQxR}GI%`&b&ah|)FLNccH(vVad_AVM4T`qmLYNR~+%1mE`Xiut`Rbm83TNJLbU^;! z8Uv;)gZAX~3KzicXdeUX@I{rm@W!zpGR$ywWK!{Hk#RTgDxwH0+%U>}bdV6ky^*J2 z9`#d3F?G?e)W_(E+*P6dz}mzZU3r1W?HL$Q`Jcbl+^<dS!>nwFuLT00<;WQ1b|K}& zI2FAA-WsX9$dUG&zUnV<H`L&N48Np&9FO2UPPN@He$Tk1?+FY%kB;beVyK;^IbKSM zcO10e4pcv4?T7C^EuLVonj9|<SrjM(f{mHshimURdM$!Scnzr`)!nRA8v|<ioFne0 zZg>oFfa%p-eqyQmXm5ria`><BdY{E8mCgd5+`t6IdyvEN^C}r(VaE3{7d5;?@4dr4 zXLf`pH<1eeoCesS2W1KRC+AV!Tx(J&Ms7d{J&H*=`zBlcVree$Yz0Ef(S<)WY<uy$ ztY7b*S^6^3e+=1(@|7aznZ4Ei$qej{q;mICF;v)Oca{8pV3Y?0HuUftFXg$U)$zBB zbtPYYxNZ2U67ac4E7h$@1KGEEW53%DlXt{N0PLf5c-0mp2O|A*LAZhz3{K0XNRK${ z4X-<0Z_S^efKLFY`$l@#f|ctwmPce6AZ(?}AzKl?k9^xZGdRRERMd7Dj=|{w+zY9S z6hrFIU_6O%$t!6CM$s9`<|5DNZ#)TZMUY?&K^y}envKlwb`dU$i1WB`<$yRt{nD-C zv;|&rJHBo~qK9)a05kfN%=;B*A?%0JdX%W&u7nqR9UjvskRG>qh?p@!2NS@RC2q{< z16fcbWvXUyHc+0YBQ;~@C9pl%kvh}Dd0_P|1NB}QP%c~(+Ov{tij^gT<((#_B#MUv zC-)B!`Ma*~V^0+h9%2AxOfu_(Xnxj_%gAz_{R9=#yZ;4|BphUDzQW)<cV{^7VR@R$ zvkylOJeaZY(0YSE#>U?rN%lOmX;TtzHCVuOxRR!Ejs@mU;`WJ{2{OHh3Cg(^KnNF# zV{;IDKQSSKEZ4f~bZ5rOJqAl`%C?6<?_mRq>Pqp*xqkD1o9}dTx<j42>mwo-+j-;Z z<%ACy=4Xn{vPpz#?OnENVO#OtFA~^Kx*i^F<49E9eC2(>!Rmmt1udhyKhxUpT18Y( z*Cw<kDw~kNQQ3P8u;Lfuujl`se`&zaBYJB`jk};Fl`nocB*AL<<ZZIR&q}0w^<B@b zJvMmjQ=-uG8x4*{+nRh(77{C~c%`}ez9#6r{?EE&%OTh3-1BC{Ge*KT0~I00m>T71 zM!5dm0%E><<L1~L%Z1cu+a#}A3SYX+h#k+H_zB-RA1>+C=vR#l=kSC#R?AF(tN+7@ zfsumnP8)7zvxH_cN@Y{dn{f(f-ehNG1s#6*eBt)uN%My0G_&J#=P18CBl?+Nx$Iu9 z1%&dDTIPStE>vGt^oN<hDM${7&D`i@x!Fr*)|vaU<nMZtnAmWS+FJ7C{nuGH77OpZ zyY@w<8f!Ot@=zWFw%PH1bqB~`JinWj{fEj9n$z{|7n1+sd$O~JPuHz<>00wCj<#N0 zQ!*`iydf?xJDpMg`v~mJ-yG$_vW~#Gujf9LFIx56SPTzloi@1Pnfm36MqGTWM%i7C zwQ{BKHvB~6JTY#9=e+DC1Ku~}uuaP^s5G(Hnchc%pTGViw8A=&3|a=U*ZVK<6}@)y zE@!w~R83oXrJpTIUSl?U&QnGyms#Z<;KdB=>z#ex)%Mhip6?1ym<a!Qlke-RJEa++ zYI{{t9GZTqNIygzuk2604Fk)9gEl}|+^kEo(Vu_q6L>Gc_q1B9jZMH0#1A?K7jBX~ zR;^3?RTEAXSRp7Re>Th1rs?M~*gH72M+Ft-VJ~ObYxHKlxPO!1VQSp<Zwt%IUzuRd z_9NmM3@s)LG4r(eaP~6Y2`DlJLVolvauJ$I=Da%jr=0wfWJw5)NZF@^=&<B7i>xKA z{MF>pfnqI{Kmw29yq^8bIjuQ{Bw$l!d6N}?|GX{r{9#ecqiYMu;Jv!}<Agcxv71=9 zosWez;hx!?d7+y+U^Vt)?#f8VZR51U&*Lgj9EmhBc7@6Iei)E7@w~_mqw1)ueM^sV zX~(#d;}gm69B81%SpCvf(keY5a7EkdvVffR{SiuhNa(xg0m|irT##Q<i-i(&r>u{% z4l99~Ckg%7l(l<lY~VN876#i!wbo(v)A#GYFJWOx;JWz11@e^Yt4oyl&xeTX`Mn3D zTSSDwUm_$e4?hUS0^aLrRfZ&r3GgOunyG2^ycijFEWj2$+>zZ0U90B+U!HF{+ghF* zvV4RjxTEu{<6(W%Uz7rY`X75`QG`gVn24()f3&p0^{?C(5q@1{WsZB)6h+Kmf5^p! zG5qy635qU<2#$v;9$;kn2q#owSbzThjoth8-;Su{FV9Wb3Y@Y?EzqEDaj;-X2$udw z20W2#nIynM0Tt01+el3{#Xl05U-&9k#D#gt4!;iAexaB1`gcZP+<e<T)#B8?)JYPc zUruC#UtaR%D}i3r-!r?0AHF;wf!|uPWH|E@2558L5Bu)DTmS<%pokt64%m+5CVYQC zkOG1~J|CvA+6wGEZ2k+|Pjm0-gB^Jhs;Jf*cQz1aNTKB3Ivrev=-gi^fC@+Q?-am> zaYB)+g`;2c6c<?GUY@PGT+8Jw?rXB`mDBVD65uRo9<oNSa>LPlIm&Nk*m5^rvKou~ zO=|ikA%gx-+r5X!A(sxRC5D9p&HXPUW97>(2gp1ISJM%5xnha<Oi2?x?tyzOCzx^{ zBv8PBMd7XU=khn{R*G4sWGH@j`kK6&_n57>puVjGB7*pTW}b3_-g_sPc);$~*F&W2 zEZwqbi^0~Ou*0fQtyxLZr%dgOoG!lf*CX?ljIO&~1Zk*hcWnhWl!81>3ZTPIs?YEu z{^rumr6m&GH1qP<Dn;fB<gPNfG7uXg+QY<ngcDty8$L@-h8Gg;I{iahvbSjT-*55P ze1~*cgD&K9ZT-Ui`Y&AQDq#*dAhz2d(ZD}~6i%65WW;4?_I^OSz{hVtRunc5N`4)X zm(xR0{?A)-pFZ1=wJKP66A`f3l9J>tt#4;<IIv+hjGt3L0^r@etZU+^{+;JJPvp-F zcsTV!#SD!Uf2#nYEJSp;hgg9oA_-eZ2d2c2;)gl{9#R4w5Cp)^%%s4o|0FIM(N88` zD!BVfrZm|LiuN`BjW8d&Gec3X28Q4b;{TqBU#>2r!7e&o%ms08MxXW@fkYVimE$?} zk8Ly&2n9nU;c$hZzJ4rRA)r8hi4i-;g?XhMV|yCxEPF|p`_ogsZcm>dWiEW`za&TM zGeaTXR2q{{6t9K1*0hy9I;9#ISb9GQ_1ZyB!9pl}UEYiJ$-6sD37`Lc`hv7!p)8sh zT-Gy0i%uZ6q<9*NJLhoQ6Y*a(V!EB0Kfm4jpuAm=ic>*O!N|6i!0rmog8;8>L>?C8 z7*+&1;oDBX1hk^TCmN&{W#=3QS_$aEOs5JgT!KfOi3RQn@_or#x565kU_X$D99c$b z%APw!Uf}m-;6620F@d<^H*)#H8%+K&=akD^*sKxWV}Pf{Ktj%g!9(jaF0kz<pn|KM zyLp%ecEK-)X&|RDFnbJ9#KONfqdB1z;*)EPOsu=XU9k_0poctSFfe9nbG-OuW>)}t zO7of?6|&3#MVWl8i|Y83v1aLg6NLy;dz;xn|Lcvf40sttxGBYhkPj)NyMiY*;6J<z zsRsz%`dZ+ox{=sA@89{mIuXnRy&N*rWe12OExum)*b~RQljL{SO1*%MgIK<s<{fV5 zAqFh9&$$L}eYw<q+s4{CY31^s?P~JLoxjm%L`ZP@r4wG}J81^OKNzSyKb87@#eaxX zAq9E@AJ}P{B&N;}?XW!<ic(f$s6CuX&U^QYLLi_sjYlH7Ze(Bg(?!B+c>mzNSTgLT zz+b1C$&dK`eu34M6H+}?;*)l4uHGo!Xx{mI$ql(6xtqVJ2N6Go__J~F3Gg)1Kau(g zCH%oby?=uLo}i-JZY+h}8Y1`?(~1R|H#;r|H1PW~GSYPrk*Pz+Mv|w3KLKU;0DlDt z538aOBB;6dxlFCI=<{>vH?S`#p}Sv{Nd%YCD>w!n-%AddihOhU&93)_sp5CYJ4Oa? z2{Z8?Y0!ZbJ=oG?t4vdtgqQzTR{UbbW+gA&&?SWdR8=!y!=0^+L6D0r_}8OgVTrY) zz}zE(YZA0T+yAE>wLSXZUK;;>ftu3OhXV#nZg=mN4*~(~yfLuXObJcKe@d$y>O5T~ zNw=#nbhR&;Y*+qb1^i_aU?YJA!5gx=7w}5QbEehphAe6&y7hCeW^R3c#UP$)?v3iv zRieffR2h%9>B}{~@c5zNf-iGXnPFk;qaDB3da~NdS(9hYfZB;W?FE_>q9|RniedYM zalL+BxnX!~+Ksao%tVpr+&ro7TqeQqUez)!HreL}adH?ikc5=L1bg@N6LG3j-IVD> zk-}Af&kFke@&%se&-^PDM&q*o;fn%&Am~0i7|m6{66(I0)pPx4ArkX)O9%f5?nq6$ z1Hl*D>VgZT^Zu7eC@VHlG)lirPe3hznBoGf&^*!@gGLBi_3_X>x6DUKo2cpfae^}U zX0DqW^>=iYprWs+@!wsZkzbrk=P7D9;jalY<5`h?=zbqDyV;%Ls0{?1DA@6CT4ne{ zaMk?+2i$IaOJs(FfL0k3=9uvEDZ=k1B>1;m&IQjMn}iV|u;bpeN?({_m}w)!h<G&% zors9jJ`{$TV9(ajgYfTSk14?pRk_frf^G{Wd0=VUDi_ni>M_&(JH)L{CVx3lPTl?7 zxER$VAVu{&Yh8Xy<LB@Dvdb2<_{@Z@Ea_^MmxZCE1dmD0B!eznnISWJ9C{GCO`D7j ze#75cLt4wGt8ZJ|9LDdS5f7Za#zUCF5Il%BI?kon-GQT}Wasa7TdaDFoi(0&fN3sm zX2~JJ^Br6u6(Lv5e!`iSrc6XzMg=RbJnvEE;42UOlbmquLu!KQrtlNuegRu2M2JUz z@HlDSTfdHP<(f@MVmOAY<<mYITV4hNso_rjJBZGryQ}W7MXIGzy?E=BXTu{77^gl) zUvzWH{1Sc-Mn66TyHvn$GTMIV^(&8;y;S-f28Tb7Erefjyp)qRU}*MUt-ql1$G?q+ zg9n}Cyi=!Q$IkI28;;*?n7XeFIMj<&_8f|xf*s%yIBR}UuJ1naB{GpIFmno`YK}g* z)V4u0e_lF!)1qwGSRJ1LDHZ}Cj>d2<&6$Cg;mei&(W~Pu7(-}eR}fwQ*!%wD9m%Jk zHpg%V6?L5^iY%BPkP=T-M*<u=J%IPXLZ5c={<JL>wBPY@m@mK!23$!`^b*Z9B!<+J zxbv<%8{7KiYH=I+ay-ZOuN8G5(!_vb0DO9v2*Ly@l?HXM|B2Mkyi=gZi|QzKh%<~n zpy7!O2+?!XiEIA~5hILuG{GLD-mOmz--#iwrwPgCet#i7;jqy1lMw}$A=WC8J~(%0 zw<o9JcHb3>sWIu8DmK`7LZ{td-4F_)f`maAgFoV{xmYmG={gWgY#{-w75;*!zx(bc zI=W?GI_^h41Sv|>PzqC`6#sn((kJswoWH^jiLRU(+r0bMr9&io_ZkL-`77ipu)&O< zF6ou$eh`m2Yka~wvZ|nyLQOj!XU+61NLoFQ5)*mu^Ab3bieip<W2)`x#X=mBp3lNA z<V^I*nGJrj#CghJa+COhSwZHFQ#c_dvHl6<7OpIkK;9chXcOGj5__XfSN2i;s!#Pl zlJmnlNf>A&|Df@xcp`cgX5Nxq4S41*26pdHSip9A=|D~F%eVc*`#peL9GY%620N#_ zg4@dfU8zcQ(DV~>+(UCOE-|7%cgCh365*Fv=LLX`vVE*FR2l$_0jg4Zcz&{GsU|>q z_5JYlhR1976{Ia$>fTKyj5s|;=`5E426#~SYw$x8#t!Pk{S&^#6m!FdZah84vt5xI zYHu(<mwF>kA%g0z!53zZ5Mi7&HX^RBn4hR+Ad{~8pdn)#OEC3}C|D_PN9)qM7?|ga zCpxqe`jUH@7P`Hv>0w;e?zFE8Z2<Gq>*#aO+xL}5#eG)A_H9ugm&l}3l5X~L<CJXG ztTxCQFPfCxvaGPZ4j5lb`y7fsPv+|9)j&!KR|TgO<t4CMFF*bps&aV6D%Z1MQs!tW z6kfTMov|r(hs;{_<5(sm`H{5CXS;W8BxG0*(2UT+j|1g1>m2m=Ft}AWZ<?U%UJaZI zfWyZC-hojcqh_Wu_2qn^(3Oi-z6zhx9Yi?&wwV+g)w^SPoUoIjkGtJ#hmw*U8m0~8 zQHDyPBHGmeuyj2*VB~HN&UojIN?GOW=3=h6ml?}-vk4eG&poNS8T(gt;X?zifJ4LI z*RKwft*MiFTt|(_DT_^S_vXwxhDRO@buOlsevBTu6(W$#tb~?h2yz&>Wxt8YS@_@M zloWVHOh`S67cX*%6y;d#3wvG8SfsvX+Hy#%K#Lhg&|Lp$?SuunW-CvvfGWN9L?3yF z1o#*Wi&Xz>?4?ND_^e(ncJ?FlEjCPvUY);i2B={n=KBI72vr*6A@gEN6#l#UG3vYr zr7bPA?+?2i>Mh7<opWF&qSEkGrIOddf^Y&E!b$;GPklmcd10KRgXNUg+e|AAzL?G? zxL-18*Rp>}8Q8YvLLU)VtQf`pPJyCbiTX!q;r1gPD1|Tc6%e=a^Xuq%?Z!Y#y`K5l z`^`TNO$>O;OD(CKiaQre8QY4Y^=Q<w50oV|;1sHb8{W5v1g|%bZR2U#qMb01K?6f@ z$Li9uaaj5cgI8{4m*ke-L+nwI!7|fH1WO#9=`2=-_LSkK?N_na&s?~W0C!Xg+VCpt zLNF`O)gj!*P9dws)3qPUn4=BWH)-K434Z71qaB#ZFFrisa2r;_^Z!wSc*?&YVd-P) z0b{eQV{DXy%43_DLor4Ww+)XK%;&<ebyrAP4EH42l&2~utKo&H^cF%rL>nzO-ZBtY zS-Da#Ggkj(bHu!F*Q5q}Ed0&w{92MNm?0!~hXh*n-yuf4smHqL)<HZBbV%XB>jerH z>hMY@zIH)!9E1XX)<r$eEgl0Csvk)B>AtTS-Zhjx*t5M1e;Qwfu8KBTtVL8&VGX9+ zrxov6^Oqm1vGv>~bdU03;byL4yHlhr8g<v7NxhM0{wYs#a<=m7w?F4n6oLNhOrcm( z(1;D;rDw?Ya(y@%J*w{FmX<(>uwT4!CkS|$l3O;OVisxeH=A#`+^*|?<#Xpnmeq}~ zJV$=bUa^k|caK>+XhUF7n*#&mCv((xKi-U`M}_TG&f7EPK2xE~XB&FEaQHI7XYV4- za-<-Hn8lV49VQPGJF&9QY}{B1vMHx@`u&M#o8yxK#~|@P%`Op)5Xq4`wRVlLAIh_* zIe+^$m>ZFCS{idaP5IwDYhwBm{)k!4HcTE7A<|;KakX$q{!bJC`?KZNXXy=?LHyFP z<b_j&X_fE3ni>zp^1e@N1_VJsI-BJDzOufu6BJPc)pSx^4|1JZN1iL`A|<v5-L2Cj zs6Gi3>t`rS_S>;9E1mh|VPSgZ`|iMZZ7)OMN^^@z(23~6lLXPjKz<}P=Uq%T3vUh! zaTYneJ#}St#Fa9r)N7H?xPacfrG)LY`;4L9(^tf}eAkm_-js@+B(Pvo<aX*QA^y3R zl`uJh65gJiZ7pnLek@ZFnJy4uWsy|#_r}7VhwtA}ddn6P_N{fj=cgaht_LPVhu?LP z#wWVh&YgV(Xh^ZzC30|{&PPG_KG*5IY^$g%rrC2txf#*nfzLD>yG~tuWcH$~qH^pa z>Eof{uS~U<5M>)i3m9FmoqW?}j7l>WG=$A}c*_(n9xqpW*74$)>4zl&7hL|8=tXwu zd2T;SpK`97tt+EC6!YyQUi5)M!0tiCZCaiK+W|w9(xaw{U0#^wmEWxeUZpSC=)Wts zw|=B$v*fERwF|>Q8adCR>)#t}nRA-KLcUS#qry!iftL_&fD0$$SwP%yIzPDSg=m?n z=<CycT{eoJGZZ<UmU=rmf5>mbN_o*8Y0YSZcFnq;bMX|QQ(4$8B2Sm(g7hDv;lmlQ zds|R|tjl$Nb(Hn<{qb`*=pyqv+24?->?&2NzW{ea%I~l83x_vq(eheqot!kFv{Udt zrA}=#ih_aY6bZaCJignRG`uV-xua%1yJPbyQ#fOh1Rum{2nPDtdCOiA-Gx(+E|`)L zFU)&~?hKLW6XVFp2J@=KGcE)0gI&aSNBt>c<K3L`64tlXb~)yzCiy8}9KyqWku9ln zx>@rR>-%NH<l^VBQj<$dR{$`c7*Ktqdmtc_`Ho1=FYY3%SJuDps{7&c)gOgeuDc*x z62;qE+I^gqw6VnwH>`F<58adJyR0bC<}F$_Am=iwmx4F*_X<QV-iX^Y$9re@Etnh1 zoUP5}iWwWdPNGhNhK?Ci@fJ6l?S<~qyU4$Ecn-SQnfWjDcvP8HX1ln5hyZf~O?=9w z+OU6iD$+f2R4?y(NZ)%#Ex%T`#`$=n8QZsOr#VvN3~yz73|Q<gToREcf^@)Rb_eRk zK*c~e;r?cd@%s#6CB|odLU?m>puP0?PFx;|FX=1szve~++LzZVccQMLr!~aD;cnw0 zqIZ7iqZ=5UefMU|rPnepo_2YnPmID+Ah$Ipj?Tnn&HhPzndGdiM;ASzmZSMS{hPH( z5a%I&dJ;|o!8ZJR#-#=s#c4GPyo>(3T*RoX1zB&TxxpssIFJyVlzX}=^UGY6aAumx zO&T(Mx9;Hnc#a3UJL>ulwf*BaZe3K4{GM9vHD@vP_7}b7UgjO$ZOvQKwddZ2<qZY( z_K7*?aQWh%KC9{*@7@Xgmg!WP9oKKn3lUUsr(gNem3alZi-F6oHCW|3r}@L=+Bd4b z-z{b%^UF8_JXv_zPrb<B&9VJM3t{^9l+DVGG52jyZdn1onh%`FX0yfa9U`q_eX_(H z2Z8E4G15u3OV@1N3rm?S?Nm(5?nPN+;~y{&8!_oX1HCyP@UX&Yfd>@*R!CrNu(i;J z0hR~%e?2cgCaTSpeqG{iLOb^sJFMh21b|(_M*x3fsJO)g)LTDWgiSGoIY$K|9=*Rb z_{`|H->SZuoCAo7U_NT_5o}NK_Ud7MtiAou=csE0on1zr*B$)tS%5aQ`IxakXHFyY zgcYMQI>9~MvQ)5^e~lbA92Jhh?eI!UyLIfXKG^X1rd+u!f5r;l55wi08c6K4ONHlh zlzU_*rAd<bwBe7{&dQCG{Mk250Ur){hTUx>?J*qWywOp&(6!GpTx~+0V^i93L8SPC z5>--2W*p}(@;A(R9z+ZKAwRwtw`BcCu-&Vl-j9mO>Aj*aIf{AaWZb@Wcqk-*%*JID zOG_nm+)j75u@<<#gY3=kzL#`Sd)*uU=W8{y6b<m;L{QUUK~8@;w(Dn-V~@z6;@^+^ z_Em~aA_)q)GOS+SzXWeiEcXNKR6h6++6EwjfhQY2C8U@|$#-}ENoBgMmASP)-E$y% zoq)k5zmO+x;{LUJ#%Q#z(FK#TE|vD|<WYw8>cmZ`(LXTo+fa=(Dw~sPw$#y4SN_;F z&yeB{xFx0c+YP!;XnaRV?>6L3EPqoa$w#+BbwYK+2`xG!?dcJavL@9T=qluUIEv(S zKCYVlINnbK0%34{`8{&4YXH0DCT9NAt4DP;)JQ>`Sc?RxJDav_k*S+Zv+MG^@tgM< z;A%o)7^~1B(%i|JAg!P!e0tQ(R&Gwg>9<Mzhk`3p!_E-l&m}2)#ak8dYJe|1^k1u& zg>A`F&!ramEh+v;zPvUwUJc_PUDWx{UWVptum%n(e7Xr2&KNAy;@_8p56j>TQq)@$ z7#X%su6l&SFno?;L#9P)$*3Te0gGcIa@h`aUYCZ5v(*y*qSd>{@egjO-n>(BbMOQ- zKi|XPOm)sn7?DFT3Cz49-CAF!%XEblFBk4eG@O~^#Nec}TY3IqdcOs+P(zm6zk<xV zkAJ#Ix9iQ~tj;Bi24%(2qV-eM1}2^eXT(fD{~;6=H?p6zKn54_B9C~1yzwf9I5)&t zwJl|47FWe@_#j(Cr83_cd0ABPXkCqC>R<91EchkKR7K3n^yO0NO;QNSwC^c<t256s zSMv<_^eDj!AAa8F)H)K18C7GjJjaGb!(b+P7Oyf)L}KPx(E;It)2MdB!<rDkgQ$bk zrJvrF?hHv76f{cIwoO$R>|tzfw@s2md8EJ&f@T)<DYmE)2q%Kh2OGilldy8Q>^vAR zOI)W-RpQ*wKnQxU#_1<qYBtm?h}QcnDs$6xn$&lsi!9n&B;;E@(~mL&kC_WH9mf=4 z@}humI=@Si$n4HtYMkj$vEp22GnVeF&Hd(&H2->BOUuWI|2#+*J$wIF66%mgnNY|v zBwg*$R>5Qa>~dPW#)fX~bym1D)zjv<#77`JQ&k|c`*7e+0(Z}|Vc%h)k#W0zqj~=n zRo!)s=uE76)mJ@U&|$C!IllI5d0GQ(mb1H6CHyp`I3!Gr41ypNpm@!vJ=jQgH|fD? zwWQBt;;BL{yTL56<R2r5pDc6zp@bXBW><1sBS$jX6H#M~I_&S#7?>`Nwz+}$U@O!$ z?wOV1?PyD-a-8h!ijZX~&iJ#^|Ab78e{C$BAi)4P20Yu?ur;zwe+^IKkAeTbZO8E~ zc-;LaNFpKp#d-5<VV`Z;u^VmJynj(=iNR^|5?-77*}x<_@pV%UFV>U7nf(eO`wN(D zc3{%9n~_K{BYC;*9ZPg%F`XvK@hu`kmDg6tan9_DFq1&e66;iZ&Fna4NPtwWuF)+| zev6A2??wz+liILr`FF@Of!J=r&^*}pNo|3gpkJ$!wlF&d-qFrnF;&KaeZmn_BQ9zs zw>V6FWGr!lnsEBYY98X}Q@*Pr-!*-fgBsuWj~+SKgCx5XyV6sgBvU{5TIRBtmAZn^ zV%gUJJFt8u7T3?}n7lY@a4Q_i41b|e*IR}&zNIknV_Ui18ZE<U4f+&BxqG=%+=32o zou*YX<pQqXlzBu4XzQ=}7-$}^B)1kHFNiukiLZI8Q)tnkmgr8N~FW96cUxL^&g zbs{_E;2d9UL{j?o=Xs@5ZBHyQP=o5_Bqe@&-M?XYv;2K<-DJG>#4TxqgK{2@-d~R; zbEeM!z4EQ7QB`}Cr$iD8-q8Y%I!hn$dVj#@#Fdwh&mA}8VorH`7I&G6A-_{khdSuj z#+<3_`{>WOeIK-{IN2~FtdL?ji6j&8D(I>Tm*%erI+%VqTgNc1ThJG{(OXRhf431M z?-^?$k&lx63stnIo1ZZdJTV}2kSLQKYecq^R^KhZ8Sqndcbf4l$r}nc(Au{p!}sZU zytQgz^tPW*B3){)r3BHah1$b#2OQdUH11Nv2Omq=c=<<f@=D0L#FN+!q;`BC)y!LU zs?rN_sP#EOY>+|{TG?7oxgWjr=tvJL+R<o1O3!Wl@n*H&v-|P=g;|e?a29rV!7exO z0*Ev))*se~1bN(#ff$zA+~wAuS>&%RfDaWIT%v_4KmWtb^$mVzd&MrP&>WI`#HW?? z3%*{AzG)h7<Xo1TDBvD1<zlx+s`PH;dpjyu<fDI1Ly8XIwNF5Wp83|5Drzui(IuHa z;W3P?Yk>2?IF*kX7?7<z`$8P@ruO-`d$(`FPzzSq!?#VL<&Xpm?kJabU^MvgFTLR^ z+V-(yAF`vrCM&3s`SK|^5JzOBhZQz=nz5{LzHZn{8oO*xsVc1UPpp?o-NRS+>Q7<k zr`c-1Dfd|*C6Wp*ui8Yrq?7%7qSyaZUBO(FZZ(*6hY6pWZFHcVufN}rL?LN+>%Jr+ z%T%ot4^eAU+EUiKKschGHi}?mOhHB7U3x3{02$K#*jUkh3$1(Ix*($ysd%AR<K79T zTdJa<#_#nevwxpx(M$+d7|~t-dUV(a`$q<0d87+mKd2IoQeL&3=az>%6=`O}R8tac zw3kA&pFEGR>S-XY3-ZL^V^LR7B8#=3&feZQUMBNXj^xMRX0s=TBr&hKy*914<oBj$ zSfz#iZ@-SgJzQL&`XTLOCm_lJ;*`*ly=;yf?=Eroy0`iI*f$oB2Zs*CqtG#X|H%@o z&-B}6MDxO{-vVc!i2XKB(hZ8}CC7jU%3m)fDm~x$E*;m&-e5A2f&D=<d7?X|vgdE5 z_MILUJ*!e|`h66cJ04I)OI>Yks+Ue`E>GtsLEM3?{110-Lsn8@>nT5Herd8<)M?HN z-X`aX=d`T&pvW$t)W48Z^z2uw_Q%q%!a*+C@ohQ$E9}^-w?&r4I)ngi^5FQnp{8KD zrI&}8;1H8-+hb$gMTFOnl4vT#rkG!;E)+V~puyiOVuXoUy4~BrNn_+%y7+#f&weWZ z7N;%|fEap+N*I+h8oXtN#b>!EDj&<6<N9|VANVH81Y3fk7Ykar|9pue^mCUk!Rg^Q z7n7i{{VU!-Og6*CIJ|2x@DkOG;}CJbuQ|8IIm@|BB2^@rB*s?y17em$l^Fd;LczrH zt%|_Zxt#s%1ku|Ap1lG(TuKd{a&s}0i|oNtLsLSpj_NVSzO{5I6MX4<Mp*2d#1o1R z@$Bu}ly*@yzX*Xjmq_s+I-RX@G7Q{48u$_6cc(VZpPp~$d+%YN7Ix^7{ll_zXy(n0 z%b)*as>U(~Kb$w<|Gbnt`Nh(`?GL%uZK>*#-?od`Knn9tA<~$gvmH8=EkAkw>yJ_Q z3S01xy-3WDxhTbP|GQT#|9|4w$&UGmP4V6RHhpInNfr8JtJ^`on)DrmQ)0O;2bXP> znh=M2;>0h(VR@z!wW*UK<#U;sH?w5X)KG)E5-CP-<Zz+CUDKk)w*3vyCc@+pPKwVL zQ$7KuBYLLQMaec|Y0Ezx-Bxm3DWNDDAoM1Tn%khwzr^wQpAz|CK+ls~Y>mbWm*X^u zQuJ<nEY8i|xS}frMPyXGcuUl-%vcafu|WH$<=X|Xjt?8%+LP*E{_*Q8^>@mGzE6}e z+$+=K-C!e#xc~$@+T%m1!jHy;AO*F!2E>pil38`OqD>=Uow1ioj*+PSI^KZvqsucP z&M{-cRghxs^nR0mUij@N1NYRvxL1Fu)gF2x=P2@ypr@_j-=illjz<?x<d-q{Q-B2R zy{}L16B7&&)(fo{P3qY(&&JFYc!M4dEwIs_3+rWlCHuIR1Wtc=z=@mcNqk*AOFLGv z)#9@gl8R%cNa_vgQ^SATt@k5pIUPZa8LCs|0(<)_W*3oG9j(K2WyFUFYK72>5t}Ic z3)u@%va!NcEWmSu%2f`_Mgg4|6D&_cZS1~N(EA&?gz<al-X)-2TGgv9Dj0k@%2+vQ zd`<f~J2&QJau2@bSev8DXL_C&q;6#RDIz!+6>j1Ap|GGaEE(O_s))8c93rR~Qo>QV zw<mFovk~vAEOd)xSD%S+V-{%en};Kk0XYYyB3@dN=8mPVgEr>Po2`>RS)O_gh%ze1 zr!Wy3@;QR;3KVf}dWfmdr`1(W;gvKXJU)-7*{^R%EImfp<#?)2M}}j$GyYhAa#GD9 zhzhpJ!QcfJ_xEn^r^>kN&Y}*#AI~q00NhxHD3;q{N#VITFLxDjZY}G^*OI$Jpb~uQ z-Ls=i3Zm;cVJKbL%2t`1T#7202Az;m?nw4(*X6q4NgZU_qaHnZE$P;`lZ8n035J^) zqh~K;j-zy9p+)K$GHuJ9?8_aJb}PonqLyha^ih6MOd<bl#QD**fpwOkiCd}faBeT+ zzhdo5V;4>Wj@OfMI~O|YQnDADmY$DS^9ePUIg5hKED}frHs?3isY8!159qp%Kbrr` zJ(BVM{RM+JbjQU(js%>HEs3RE8GZh$yzHo}4*tDAcn}d7+eRs_t{~@G`*cDiBT{|> zXY_mY_4krbx(S(ae=eL~JNz^d^UoDa3aD)leY*!A4(pYHnEh5lx7#!1Zj;jt@XRSB zg{y>2%{K`35A!qiCS3Y~mO<^NDU?S1AMQ@i*Rz2Y8nRz^CuZ429^BS`^!Z)KjdjI# zg{RG-p78Fu13zRrH()jsLUuVIYdWmjs7N=fU8mlI4yh-G(;MF7PI(FEHIq$b?bqH4 zOWIRA+P+xO&CYfG8TpC|L*v8u#P$*|M%*{xre?t7H(Zb<J6XyM6-S_}feM&E(;5C< z+bwB%&ld@~R4wrx!KK}{g;@MHo6q^;kMG{Y+j!k5FSba29k#=#<OZlkf8T(#5&I-2 zA@L8d{=H&6W`A&Hb2V#-81JuC(b_+JJqP-gW`nPjVhR3gO~-I=T<!NM54kCzL(6fv zl|6?DFPe41?%55k+uJ1=o@6@H$u~Ktad$=h!{V#npcRDJ-`xUZpVYoF;P|NFI+_Kw zk>OoT#<owSdptAn5ja%7P935DFK2&bioj0Ej#)6P)cF{4_vN1(9lc@kqewA&4`rl; zQEC47#e~$Zr)WP(aqBq7zcp~_^(Tv+2;2NzPUX6rXge20T?sg8ikg=QQaKlxQT=qH zuySJhJQ>d`)6Tg3Qtt%<e#A{fEU9f#s!3tto(A!02Gr{}@fF=<pIH#sNZ&>de?AK8 zX2*<nY}}<uxmPz-xcgJ?XRvd^vr7J**f1DHUZ5VoYTq`HcR=LWEtbF&_=vZ8S<L<A zQs93|T)kR=tNNVqTT_++UHnZ<gX!b4XBeCi;IfssB<fjxe#<j-^7k@iYSCe3xjV3M zo?>Af8UMDy_hGFn)aH088!R&N@uCwyS0|49p&>%f^w*W$s3CXrX9u&3?TpYWmqG#8 z*=LHF<-R=jdv|ki?frWaU-5jKpwWs@4s`H48zBEg>&r*{9Fkarnx<;Ty6l_$;c71) z$v_L|=NO`tG*j-_AsT4-X5VT0{M=(*IHE5908)g0csiRrJfy#Y1L)Q8*psI$3lFKe z9Kx<Qt8*UN5Y9=92+O}g27p5aCjSLQcrP+%Q=56OPt%op_x8<k_CG&C2e&jn@`PvG z4-Wf&>>|}C7Qw>4GHSp3+b}81W0xKtN}S+x8S#WXA17K9L+`>pqmW+&`<Xd`ST7Z{ zhh7O#yPyhF&Wr3{^^Q4H@F<ACIzVToPOkL~gXVMjkhzz{0lr9>6^9mH9q<S%7N~a> zLbHejBgg%@$Y62m?7;z%S29{l63b!Hj*1;m^B`WSG{T8(2ciYMl%(jC5TjqxA=Uzh zijI2Tc)nXtnA{3wL!ZnUfDebU7KPo+8K3eQSDio#dxlWYO$D)Iq-ezvp2!g4XX@gA zW;p5Nw;4}R;6qHP0~U&MRXde`zV#W~kT??~ZAv~SQ1k#LXbwxjPn}tObD2_|dF~05 z^|s=tN4*-QHc0=H*77K_P$<b`mG$P=Q%@NZb%FDSG#}CVK}N7MXj17=-f0vVSIEJx z9~8%xGI}`vxQ{I<oJo2)oc`SX7XFiFF)^FCm2vZ3?YM_}BlCOxWh;Z?OT|HeI|GDN z8i=@Hbh7GZu;W>Bo2cR2p{rV@f2G=3t9y<=2g0w^fwf8eKbMy8*GK&B#<gsIjlOP$ za2vrJfS0?#Bj2Qc7|4L%IXq+GandDx)qpENq2TJpUh5qVAk>CiDBy0eN*42z?D>AM z7<)0;{hDWlgZDE+fdLjTEaAc}KcT<^PrJI<UVdM>*d03)D((|cxB*|OzruY!T9=8b zz-fPVIhLFVv;nW47zK~1OyxlCT@ndi?rDcroTIV@I<>`+aaB<bE5C;!<fa@DBbmhT zwnqnVW4Rm4I69LvWwqj$ey5*elpD)f_(4J}!c%A2z{%bFbN<P47Qj(}c=mK$hnQD^ zUMptB|02(UslwyJ=Pp&WthOIL7{a<MzI8n1&vpAI;=p0qbz6lvm<jB<2Y3wjBt$SP z%iI@9%4NKgU|)jO3w`6TKdrC%wQ=vZ8ID+sXImL%a8@a3)g1PAitUd)@cnd`oWOiR zf_Sq2v1f|1%(R_ILXD*d`nKQ$K$<Vcz;?H3F6vb1=7qaRIX0#2RPFMevw-(W!dcB~ z`IXf13Rjd-!Zuom&^SocZ}!y57m-Z+>WO&gP1_cjl9b-`(CB_pQ*m84bir0LSO2`P zy1gG4%Vy%1e89-K3}XhMjYiYjgFtf38%Q}Ac^J+dSG-4^k|60yi#s;(no0IE$1idx zWy8#JiY5M~Q`^dCfsoVWQ0_%*-<hyJuO0R;s0{J8YBm1phr#WXJ-NB<5Oz+RWnVB{ z_iD%EYD!2UfvaB!ZfCbo=o%7BCAD`SCT#_h%5i+9^Y9yC8lr=ExB;WpWy$B?ST`u^ zC@4AqtiG2h94j*#gEE!@?3nvk^`dL|R%=`=!)qch$DJ@?S-i8FzV(Z1glAQr==-B* z`CiruFQ`k8w}wx7efU(RmQ6Z{#1f?-)Q2kQ;V4{X>kUTQ<=<?yn`4<cTiERcZCfVV z4m9)VVD<Lkit`V~nfx$Ki@vZk7S;&*d;opzkjn?B>nRxb1V7cO8LMIm)s91(A}K~a z@+{6ok;7|bxaf+;Zx=OvD=}j31h$jdMpR^S9jZRGOCDSj;(G6`=zRIb32a4^fED^C z<;vB-D$6Bw26FH&XFW4;me@TVMcx5a#{<vLMuJ;}y^@f8VD!fPBUpJ$d>GDwU3q?L z@P%vrJ_hGVxlmR}LZH>X!%7Ny=osLEH4;uXO&skNUgotBJ4<}KK@KYDajU*7_r#>2 zs4d(ut(4%-c{in8eB><0nDDl;Fr=6XV!G}Y9Bw51`*N2CPGf^bsk3b+Si+z1lj6!a z(fNY@CgXS+H%1?-<>6F@IxJkpz;Nnw*mvj=z&VVar-6Sr#km7cjnOt~`zlz~@p8c1 zEr~nH8E1)x8~nDMo~6-a#!2Ab%X`BX%2LM1A`+2UG*~}DI-N-e8Y0AuSll@Z*YZNw zueWns-8Yedp)vk#Wid#xlz}_lVWlsZ^Paz;qp^7RP-bAvZfZ}E1lKiIK$l##^{IyJ zi_M4p!>>c>TzX$1<rE5Yul|=B-gJLAE2GT*tL<yCf81w<VVu^R_u)U&rX<QUQw46X zyc2>d$PaB9pyRB-$|-WA$t%<UytcCW4;=~?)^t=d<v9KXlsx@o!SzGyU(bChr~8-J z8bV#YySkVEk^|cDoMCk{O_ftG>1rHs$S*YUcr6A`JEP-~a3aF1FEM7kksj2g@98l) z6mW-r7Ws(t>U`ZVB-(5dR1%Vj(Bs|jenl{N_Mu$q`=60pSh%p^XgWxBic@ro)nQ3P zt2!vJs_sUwVm<0AHDO_@(o*`HC^eujf2`DMPF8pv6cKk6jGs>uSDf_a?;PKG=mU1@ ziV};x9J!;22?j)c{h1PdG+?05!;=VKC;i?kJCRr`M53hS?CV>h<vCg(mfw=VfA}_h zCdoULR+06=lE~zM`peVSn1xyw>n0a;uYBQsaSZzG1#l*4Fz$&hv6a+$cr)gWOi0cq z;zv$ccrq<QAcu;fz8#H{N6TX&E}T|%7Rj;=`L{Km13m|Ryfg()iLo2k@AAUTvhFkK zmQ6WUc}&N{$fWnJrq`Ns70E2eg7i3-PEcVn=#KA7=)ua(8d9pOKl`1WK?_Vxf!~<* zjLWlomxe@N06rdob;<}9=f7fLwSnPueIIu8V7EclHJ3FUhHTKhw1GmrWP^5?6(w31 z@GnEojQ({t&(I?0kt<$*$_za(t3{I64@xNYv1~9J*=RF(Rq*$~&E*huG)n*os_t9i zv}SuH_P}FXVdPu=8baoG$%FUWu(`VGk)PXhvL34`7v2cib6W26_>yRcn$;66%NY7# z+9KtzI$IR(VlSBhH*vEwYPyOxmKjvaVr0#)DkfNyItaB{jmU5`*In@iK*2-}8S!QI zy<gEJZJ30M)4P9+()jh_+?4QIlyi_lrICuwtI0i^VS=rDN23}Y8Z-ex9jy)}<yDql zfRqwsgSH^4!GRcmX3@`O?*t4yBwxu?C|PA(s22r-CI=K{<WZOy{P}qdFLd!&tWH!r z8IIq%@}=fD{g-B_y$Y{*2{gU~vQFdt+kw_7qojE8zUBLOYo@+7KBzRdSNz!LnXXTU zOaI)c_t0P2>KgA$w_@}0tre|6apy$YqJDHQUPwXrQhx~BT6RJX?8c-513mLW0gh^u z$z^lLUO!*=+K()#7lanaB6*8(uHT!qZfH84g^m$MxKQGV@v$7#DVOzo9v@1dyIqde zvg}$wV#(67E-F2L7yH?5uIl|~<3*V&RZisTd3+W6-j@c8Ka}9C(pG922v9km=gDI# z{DI|wJ!$8`a8~)B)O(kW#kA8b-_Bcq!Tl$(FR5SR?dhBhY;Hd8QS8s>#V9>No2xFI zhzW&3A%PNa@N)p+fThRi)gN(J=?Cu8r3v}v#>KA5XC^O`De%6jfhO3ud)vMFjp5^R zGz+F(PQ&lhgE1y(_aciJ*E`O9hzM5RGCNkLdLsX39tJ0@8x8rbo4nuL*~##J=u3kt zb)$<%Ld%Wnf!O+$#K!ST!~3e4JFJN|&m~o=<m=-yH1HSEZ2#C$mR6Rf&s;iZ3CqzF zz?Ca9#7@t54*JrhqBawdPf{5VfSzv_O*tMpuDE%gkGe->gE^8TJ#FB*IwN^KfG)bF zVL$tExMb=?YXlajjyJ9T<(JVCz|ZBCB5M|S^~zBBx!w&&#}x#XbwPerye^D7Xd7=P z8>LRSu5e<C$Z90NND1i4)<wk4$$eGI%*-PG8U+(pXjzFE<ea6TWZpsPud=Abs<(Dc zf%f{zs8ao#;;)b`3?Yzasl@Pab4Rn>W&T|i;}_^$6qyCu&`jTs7H5U5iG;+1_$c!T zfwK=sdnN}1C6kVSG{JQdIZ(s-U8E3;lkBk9Klrv*DqQ{1P5(csy40WvUwj@UIRyz1 z>V?aI@jIzD=<j;Po<<Q;`MJ^MgZB+pNj0Oz&7S+`+cE+lF@V7_bU!XgS+YED;-;X; zk+%DgyQDT=a^zH<b3<FXJ2_hGf1u>wE<T=5)37$>c=A_kbbx=j>=$(OMb3Fe!r;mY z&pjr1s~5om#)*M9az{2xBxILoI*bK-63Gqn6z-hn7Yf^13V3)tq3{#G+E^+t5xD^a zjDA?qEBZ@s#{pKq)x<AlD%)Rx3%_kU=3FA%V`N&GOD}oxg3s67tGStVwA|#Awub?M zV`KDi1j@H-YWL^-<^E9T<BCL(ahje8Vt>}>buRL!Jhn?pl`mdW#d|cIm^U{_Qsx0M zRIwYoN9TTy$r~29>C~|_eflIZ^wNvE{OP&%AS2aT5!c5oP+(N9Oo1l^&M}h{P&r~a zkg5prstAVxC*Mv1lh84?JF?xgtVGY&tQT(&BbnRu$6i039+V&f5#4u&0|pOB>#zsq zPXP1)A9dn9TAUz^BdeqjF6>2_%zpF5(tESr63Q#r=v)$MR~LAS=ivC*A6APmKM{;Q zcVxiPyt4OImD%gkxwP)w@S&7nEH?bkA@Z!RnJQy1V@JrKPLGT9%?<-O4z&YaK5%ch zo&{no_e<%>TITN5Z1k>ZXMVWrN}J`Ocjd{{FT?)K*bmsFAoTWlALiV2)!}iLN`Hqa z7U;UKZhq*OEVS0mkGeSR0{-39NcI;CMWNZR#eNiK6|ddSl9@Tp`WRONAj`Z?`11qD zf9-JS+Zd2HHH<M$>qyuh($)X(SpcHkg4gbs+(i#onhYmaQoqgF(B%ULt%Khdx{1jN z&{T$!f-jL^-D@II<2isS5(hPVqoxQ~6WX)RMN3miF!l<XfEqKVoGQFz*UZ?qE;h_m zlz;5FO|HU}W+-*_y_U2OUaI)&fw{JQZq=jIB<(K|?mmr8wsARzjr;k2{P!DS^d6_C zbWope$V6_?zqrp$N6JqOJ}we48Jn_bA)Wu>0pfN1^+Mx&y$=zNOZ^;B!M=4i4>hZ; zXmcLTI*p7lDV8(0vkDrp;l~7&JzSuuq$77&Dg9pWo_BPj@R%QEe3~Urh!qUT;Z9F0 zeaF*&=KE6*k|hRTs3vKJur`F<D%U@EkLAJJC7MT;+sGU#`siR14NuZ}aLK&6i=Hen zE^hE(yrZ3pQh$UtofX~%!L)Rv;|rNTM6g#L!E!V~veI)L?%0f5CGL3CtlBom9h(^( z8$E7t$4{+RGwgUU1+@zKPA+3Yq3Lg2IW>aTlhGZlq**}!uI*rCvv0JcBr{S=bn#>j zH?ki_%};jLN1;VS6%L)d_utxu)&CXmvghpiu!;q=Q<lVWfow&}a;g!7J7;n*`}f4w zi|EX#>a>ddZ?mn}hKpB86KLe0GFL_UR{b}ilBS`L^^043dwlKP)DX{Ihi@#w+UJg! z82^pWXHTDcNhV~Tn(#{*3@Blxdqv^V;!nHPj~-skj@?NhK6xkp3zu_=R2*?lRsF%y zfDni&8XvY_=zIT=J$?^4<_Oe8c%+7+=qB;#;KdVvOG`ESgbzp&GN42awc)O^v^85; z;Cb4su~U~ViG+SMjZpvnz@Lk^^1c=^_-{k3?la;ccon_KOGD@jXyxd_Zy{d(jtcXc z8VPC`9xv)FX&FPA&!)6q`AqelZ*vm0-Iy%XpKOU1FhB$vXh!Djaof6V3eU4KPgXMJ zOpl+SLmxD~_dlh!N&j@B;QCnFa-*9`v=pCQQ;h5vSB2F5rht|@8VeraL2W0m!~S#? zgH{z*jCh=8?qgnQ=mJq{Q>e`MsO;;Cmp;ya_b{OeX>6CN$MjwrutIhZ$^V-nQ8N4% zc=;O9#H|7s&K<KxYHHboM7=3`ym@>i_l&;n8^=uNRe?_@_0mMkbaeKU{bD+`>E)@8 z=Go;gdC(OFJPO_NOlr|N_57!7gro7z*@a76bzCpFu%|O`k0|JK56)N5mX(vj#wQV# z!)H2o`^f(Xlp0^~!|?=Y=y9zJzL|NIs~?g(#1&Rs$SOUuW{SaIeW#ILB}`OAc^Vxp z;>||9ZR8Weq45|;y97C(S<kuh^0EB8Te)y`)ceqca!}+}lQjh(?IdU@LyrGBfAczd z*0e|Z<EQak-=--`lPc%vt@i?%*~cAOvUN5hy}l)j8PGaj5v3nhAVxu?D1N*1|Aef| z*uDN}z6JDMy)CaR2dJsyS6(G`94{fMI`ftY9ayXCdhu3U{y~%s<8@pd8WdcDQIF=V zA5Qk82Z4Mb-=5jRhcD>lhmW)?Racw*ilgf8&ymsOJpK}0^UyD-%8m2C!*6E=a2K_c zOrS}ZhPaNkC)_*X#sZ$$+Nyyo<TJtlo}L=yNPKkKy6n1ErX(V1wx%!L)<%p)t!Rxg z2|gjJf`}lUdmI8BnPe4&m0FU`m?oomuJKy_FPgqPkm~>Y|9P)#k7ScgWkwR&H$wK# z9+ka`Y;L7t%T8sLova91l_VpZY}qq=kJs<%{rUd>f6eDO=XuU~JRV0%>Th6#>I0!m z-XG@2XwgoU>$d1KK$*ool-2SR4-&}~FMXNch}_z94<o_^W#<|4{o|L^R__`K%Hwq& zduFkZzwPpws#uernAdi|0B-0F^q=9P73Kp@3Cx9dmiR4uX7z91Z7fDo&OK~V)&0D$ zno4D*2FX7e&u%t-sH{7+B|c*2fBGL}C!Q0KT|K>}n%f~l7Lb$r(OBlP!M*51<ym|x z@XNDnrvS0-rthv+`rx#apRQ8Y{Wp%}G@S@~lmMpvwFMd482sz1tj-+0Y9C!R9`yNH zfQ1`>Zmn2aD_wkz&{C~6S!Ex^i%X|}ICXw^JW-|hZQ6myFIyNuv{BXKOZydv4=F1G z@oj;>-5rGRus`#1FpXkF>?Q%`u}wLHavNDWcH2>EJJw|Z9N;va1jeY-SIJT4c%Zan z@rp}NV!_3uP@Jg7`})yjFsgZHE;L;+WTIZHfcIpC=<FRg9O=L(J+LBw{<FVV*g1ir zm``kg2bl;3OFy4d4@vI+63q<`EES{yIDP0Ta>!9l=QBhqn&(6ZONOu1XclyXKcOIL zW`*o$%W%E~qf1bhe~lXce?TkI6i}1>21Yuhx?}DcnoE*|R<6_ZsEj}_oxv;Kk;r&N zZPxQ$zwQi#(eErJYZa+PjeQxJiV7~Q_O&Gfzju~*-#LlGFh(!s<8IrU(Db?aXVxci zW8YZ_VD1av5ZnCh5zW;M0S7eBhiNyQ`5OAg;nRWM)&=yG%H(TwMpb~%Fqq7fRqPs( zjGM}G>$7Q4BSe`&@M(`W`VR^_&VS1?snr0R<kh^@N)3LB{5m<FnESesn<leV=3q-r z8=pWMfDds8;0&nq%wf{H<T%r=X-D@E(XoHH5p9f_0bq;z_d>DUY1LaqYBW-O2r;!` z{hYmE_qk9ArArKMV*pv7Foq||p4xIifWsC?0Sf#Ux8fJ8Ok^?=*L-F3N_~BH@EQZ@ z|NNOhwwI6i5sSXcu7v`4*Buq}IL9?F6*bJmOnIWCL5_6}b(;^!P`zqE0fg~fRx-6m zukq|F@lvuw0Q{XoRAZp25XbE_0-?f!#CFen63Vy~%<^+|u-e-@iBmc^Us8f~8X#;2 zxiNy{F+VOk3}%{px?pgp?M$>l_1p?UJnB1vWI0LxAp1-e0_8Vez;90$2Tb(Qlbe(l zeq5IxwVl4%?JKC~h_HOdIrN%mnWFbADN6V<UGuJXoM>FJ=r;j(i2nOj`vhCmJFz<4 zFVvssVx!F6s#iFND0AicdyRDn(qV#RfW>uVO}oW~M>NNB5QuD6kFifX3<m6KQ|hIX zg=TLb++o%H_#|EMt{`3YrXV}jDn#6KV-ZH-9TnFdeBySPpH%^k?h<$zQa23^KJb_I zSB7Ovr)BeYagl!4ARjG!Oz$uxus+(a-G7zk^F<;H6Lr!v09<=48!G3DjX=bd%ge$$ zB0B{#Z~W}ii=>9#zf*SAFm%n#mY4}OR2U5@fp%0A1nn=R0iNQ9R3T4(&5JwsokFGM z%dYHE%yxu`r5HK|viV=_2H(0X<Lb+Oy`SKWyOGnvPhwrg!%ZKTmtjW>(oG3B4br}) z_Ras%ahGbOX%bY4?jtxwq(IB<BHx}c#s83Qb1nFQQ>b%ZUe1Y&JTY-%1MG*87Z>-c z*F1fn+PhNXtrDs-oFw|gAF;&8T^HKYjXi9=4>LM&g4$oUQDQ&G%^ob8SX#C<_b1ly z0roHL!=&5ZsaG$XKBOb?JJ_BKy`Ag4>i+7@ei9zeuwt$J!41HAR@AVHo5N!_zv$uH zK!ft)lSO;E`Wbk=5z8u=x;K9Lf=5jqpbH`k5AtiZFJ%E{tOTF3LZfR8=E?4$yh%aI z`$a%B`h)vRbBd^$y)?@OGZ*17$q5Sorwi{mjhHbJ1Py3FaoVtZBa#3d!Xgq*W%C7! z7ijzV^|I{uD`r@`w=8jI8Zj}QN{#dHGqE!V<St+N{pI;@jYE#U$CBpP{V@R1!UyVc z-&d_t|7Zkws87H2Z1PEbdbJ+-im$Kby=6J&D)6E?I@Oc;+1T*0;GxvbqFXkk2|a6* zdbQ7b3N<Yk2gn!N2+!<MZ=VLZ3b>O)#<(2Sa4*F0nZR2NQF`xILnm3|tkarHCFQ|& zU!slVUw>bCXiI79RAw00^SBjpoRmH(U)oMYfpkl)CYg3%2YDll<lq`!XlHrCmG^lU zOb^WIX3x#r>;)PaeSKmaGH+hxyz9*x>`JX$WX~6IGOElJ&7mmr=Eb>tc^xdb%9pyE z_B^bm-wRwk-66jzqWAW94~qR#36I>d95oQuF&83=|2-OBm&>i#U%TKiKCeO*W0PTX zK`!Q0BJfZKwLWn)VikP7ahC4Doa$v}Xgt|0N<~3w<0>i3IbN#~UM<$&7Z^A{MHTfK z)^V`^qO__ww*sd+X9Z9W)eK+h$(`*hF9$EEy(;ti{_Yk(5N;BWc<S?_#pIvCP4<Qu zXBp4#?`EW`bmS5Q%0WGe>++qYOndeTcZo{kKx$3?r=sTjM6r-G!Fvs)CgYEI6wmot z(5qkbp$68pt(SBZYbn=_iM9oPE1$R;UQh}N(f3?wuoty;ew86n(YJWQu*4~gU!;H) z2PUtu5YXCaM!pr|{mQQNCQ;0H6a5p_bC)HwzI8sgd#EI-B(a}}eO28$T;yhC5h~^< z!RW?>@@;H`_}`BJ_e+EvWnx$1C#IixESluGiz}8N<GIUAjB<X$c2~phS(}+n|IWWJ z!DN3i;Jz$<KEx$MC=Of-@ir)IFXBR9IBcb9`O?m-?0i`<J=>kxk0oIT<fFQV3Kzev z91_)E1_Moxwyz4g5CbeHe4~0f=zqGvVpx!MImDLdG;VG|ml`1XoHrBkTJ5^=*y}2A z>e@PWGU`#$z(|B>vXDDk>fqWv##mLz&|w6Pd#(!JPG78MuaB>nD<x69%nqa@GJk%@ zf<C?M&NDhNzuh`7SI|16(nE4|B6q3L3sXWHM>q}u+1WR5Wn;hv;)Mq3SxnX8d!0gS z#zYrR(#(bvp@7?;s`$nP-E%*kBI>q(BH|RC!f3qfdiRb(YUl=Zapq>;Gnt=ZtpK|4 zMlarX*wK5kF=~3uHka(~&U$-==P#Xn%CMI;qQ%^!GHla63emMv>blAwCMz^oY8x_t zPmYXU@4~fx5wz9c9}RB-?x1IkQr(L!;$M}4IneIw<`qNl`iOF&Z?xl){(IJ|A2&d4 z5|7?l`9}5(YhIz5tEWLEedxplo}Gu<c@Xx8-vijK5!vOK-0m<&vy!O15XCuWdX%Ic zD!PGL31rPJ@lYl+3`$aD97>iQ`-#y%Q&X0n5mG?oZu&x8Av@%KW9dMo(QA%6gM=0P zuo|ymJX-(n6WwHg88CSuqmVbwll4Zic#BidMQ+bOXe`&asHveG>_83*TfrK6hBuGk z#>38(bx$|fa_?}~6OOko^bWKptS%d|cD@i!KKSR;N^oa5J463RLG#iR?CuBWoN>#| z^1*MRvxE1L;x*B;0&mIfxT{$IAIu;BQs6opY6~~6iw#fp_o?Dp5cX2isztBPS2-SA z-UfWWIih;sDJS#3c^(Va^9dT1EI(4Yyo)%hp&(JAkxvC^2ftfg2<P)X(etQKjoR6b zB*aP+2`A-0IScm70G4@--}6pj#r#1|cem~DB?aR{y=r9Z`#05VlL!=SGMIw&<O*Tk z!P({!lX8w}Vr{`o_S1-R<vZv8m#4X0xSuHDQo)w*|E3BgDJjo=j?)!64rkMhKtWgw z&ifup*ll%(k#EwaLrhuVw}4(-%E!H?!Zv-|qg<{=K2RI;d?Qvr{?G1<NSpf8$(-qB z+J3RJkx3*Q-kgOJ-WzXw0zMR~T>iKHn#NH%8oAbiHj@0shpt+wzglZ!ch4tP=_9*o ztC`yUEWERD*61=7&|5`B=$rdO>F%XnOi~s0Vd&Fzh=|K05)KQI?N<$PR-=DPbR6O7 zk@yN#a+oy%A&!!Y;6{K`{0Z_Q*1}%UrNapD)RdWEQnFk;(UBGe%Sktrf0dZ-;@zD1 zH}d8~1_mTR>Mw5^hC+GIdu*CsO}SUVKuf+>f8%M>vc1<_COMul#ep0zsy0|d3zWF% z8f3BJZ!;6OEj&_3o!y(n6TsY+yC*ks`i}JC&NUm;G6`9K1%VD#)dy<U`A3hj-srrD zoCuG|SwdIdjTZ;#fJK#Y&T<b662Jp9SY6XE(d>P{hfBj9BS$}c_vi`hhgvX1!n+@N zFM#(L_aljunvtJ5DX6cXY9FwI*3qnkCnD!BJyL@kopz+5`%&$!W>*1@aZ$Gj`*7pF z(o6!UKY|2cBzK$<N_WL{A{x)F_(0FfTq3kh9Kfn3e6sTjSV(<#`wh~BiuWBAVQOQ> z{W!S?N_zK9@z_)S${eh$Keh*RCfyZ$%Zm^I9t==7^du~C;H`PL`O#po<MhYYQdQ4G zRO1DcoOR`DQbmbiJxR#Bl<v1hPwIv4=C($`iX1#~+&RU(z`xeuvDzO~lQmVcIp5I! zdldstRJ-<~=>jNaOEb=2lO#aLDi7|M_0kOJZP;ni1cfM_RqU-Qn~Kq|-(B68n7$ds zfy-m|{t@1HDBSWYb>xW*z<zeU23`or3{w+=5B0~;p$Hpq`rQ28%?{qoSzg3`VYW$h zyjEOMs@tJ9%1Tz1t0i+gj9AKAJxd@em4i5IKR58Jk=}prDHGd5bf_ukv&~-<CM9r= zGp*DYevOpwRs~IZeH`IWrNmSQ3pja^(Ruw%`@3rAZsA~tEgmAVRr6gml0GpPnl#Ji zV)YN5_NSLB9|AAhUg+`8Ke|V!f!Bx!;PO%*C<fT!?}hX|e^NE1*y_w(t_QnF_Ly-9 zv#k<?9ZGhZJ@pq{*tfv95pjTzuDAf63CXYWr0;Hq3h4U=taRMp?D>p`J9=Dx`t^<w zly}SbF#dWfads&SXr^v7L5)QO@30rU&M+FZ^zbY*#z`-)KD=$-nt;M7JX)plMMA9a zMPT>R>ES5J0(TR-jUIbo#GmozglIeY*M~%kXa)%u^B~>?r$eM?i%2{0?TB1}`PWle z<h#^{4_ry7PeqS4MfDCIrQKp@y3kVm19XY0`!(J{u~XW;K!ji(*vswtddOyLO=VI2 z<{k_kj9DSem+2&z97Va)b`8YN8s?Cg&^nlS&-R2qQolZvy+8BEoydxxy>f>MWrYaB zpP2=qA-mhng#btSg0izT?AP576;A%&<nrw}%0WpeNXU=J;Eq1S0i^?7s&5HT@bS-I zXd>Mee2iGyJmkX0%Pp?zCExM)_<H&pe)uwsA2(izq_FL~^xxwq-JQkHIiTTSzfY^; zvLtVhux%^&B=Jww6`UZ3vbOlU6EL_imLmck*EM%$i*;$Pt3GV2pT35&;=Kz4Lp{%l z8`z|S?oA{T5FxkECiNLaQClbpe8@!Ol(>5FJjWHZB{W&2R>{FBeaVSvJZgQVcK&8U z`6|MT0stOqtFw~$7G{@`PGYs2iY%VP^3g}A;ZwG{H?#Za0^Zk<sd*$n;?`KzaL!Q@ zQDjur9dMG(+xaZ=>1{)8trfzF0uN@Vkb3dQCl0mZ+6HC;IuD{d8I6QwF3_-m$!68M z&ZW{AyOt#85Z!>qhwr|HPE_dzT+_Rld{5Ah1h+A`1vLxW6RAP%_2~+0McQO>@j^G3 z&Rj*=cLcVT+(zRp8BW?<-9zuCe|gj?rq?lvlY-{def6GyA)Y~*h!EUihOg09KPV?R z=PG~Yqag4K1@&6G3f&SHhjNxml%MBC@T$X#&w8Y(jCZG}FE@rE=z7Q_$RXZ*g<c;d zd(g7<qP;q#PIGRXZ9W%eWpby$O}7_89@d(?XjRHqf5oj}?o1JtDEFJ63{Vn-lmd;D z5PZ~?2M>)((j`tB<h_g)h`Y9t-L$q5pCqH}<FClvYy56rXg{C?dX4fZpjW{Uxe4;R zVf>(H$RZ!<^`VS7r^uBFz$)LqWL%q`#Z3J*6f4Yj#wp{Ge~D~>5?uNxVj#|uM$Gra zFtOdaN@q7SeSNPx3Iq6>mrUj2*hrla^XmD?4~oCZ@D}5GEeng7K^LSB7nq}j+vuho zX|6Cx?KycS5ZT^R{P8elKwF@ux^;%yLxV~*_1FX-7+0in`dq}(gVQGnKU_5Z#dtUd zJbSepTYdD#7Edo1XLN|L;DxW4>L}b=#uYpiEKt%fA^`zPkE(2qKQIGI7&;YbpoF`r z(-={ot}8c>-+qu?So`#t+T`AABOT=epK0mjHm8)bxu0S=PZMJxjoRP~+RD);%HdA| z=eu~kjI!-=vWv7DGks6O3`d-m>r`=RR7!dDfM_lfE_efgz4Nwg?$5Aa@)Z=N)?S&* z`M@G|T`gM-_9^&ArM@%Vw=?P7J{Juw2fWq<>RV|y%!a9Y?`-#)bsX6Sr1$>HDP#3o za%pI#vW-T~6goyElprw8ZR^;3;gKDayvcofFwDQ&3(j4eR!gRmzrm`rSB+`q&bssk zkDYk;{f1zEPBf~W_bx&W{Y78esaz0n@0TC~qxx450$Ij0BWgQmO0%5+<<}^?_-Y+I zZZ`CLw!g@=v#UP>BP=c^-Ld>)p*hpl3@yc92?~ozJq#y9<Ar2H9`_Y)$F)Dbf^i(_ zw*0IS&Vh}iIh9iYjq0l;xa$=JY8{FoRO5k8*2Bx#)q@)c&NpwQ1`?F`-yz*WX9%dt z(xrS^X^UM)A?c7+nFDa|P1M#ojaR=Fm#WK%e0*WD^XpU0@steFejr`lhT1`pIT?`M zQ#MVy^ePxXaogzI_L=|+T*HT<j?aJqKK31-D^rTr@jb&y>M&B>2!h5fD;y2@NwZhY z#g$C}l0r1kBDyb!h&ih31(;n!>509Y9oZZVKd8&PYIg3_TC6Q%$tg_f9$>yN53EuF zE^L?<_!Jovf*nEQGB?uBY(9$I&tb#gd6{R+#nF`gMByv}1bM14@L=SB0;yWm70WK* zbI~gg`H%4*OkeW8Wo$Vv7ujv$u`;hS-axXhfAf5vhE{?O)g<I>m{7pDBk1?{-KW*$ z`f|rRGGmgvBdy2s#OWWJ3-Rv&U+&f|X9XPY6w!zOS#cTAQDwCG@pZ48#NOIBw;^i$ z@GWeFrXe(kXOfzd>68D2*DY~qmx1kBKnNO3T_4Is*30*curo<>aF0w~%u|;lfcarA z$R0-A<Ur#s_|&H=;Ac${pqwDe2+SOGqQOGBwioX!l9=aLN$^@Lq5K}$ONZ&bf=W!I zDy-__a$<P*kcV}ONt>%H!`aHTzvvH~E*mENO6*a_-LcG(gVAjP>xF34z!<@L!PuLv z&EX6lrBi(^JdoCT?-h*WLVumU_oqaz?4gc{PmpRDz&k2~(TZIsm=XJuGL`>(boK5| zmtO24!VVY)7|7*NG_>qM)EEY*tKt|VDX`#~u7x!C&XQWb3M5GRBEhb2$i`CSNSEeH z;x_^bqU+CVdU(d0I5q4OYtj3NGYXXBgZKS=*1uh<bW)aHk|l;cI_!I3bvoBeTV6RM z`tdjNlu>l?Lk|VGW0@&;5uS`5;xz^-VD%kDepZA83GUMLbJ_p)Q@{@R3AwT5CD7V& z%Mopny{v*Ps(ENYilXjeIS%X`E{uj3s@EK%GWv;BmiX_aE3ZCaZ7I|wgpBnUy56^; zPI4oh$leNaRO`q2I3;zy7*mFKsc3B~ECKE~f)aU`FQG3d;@6BEeq);a&zuc@^P7y7 zi%>5OwvDw#;UWw4MfAsMg`98Y<;wKT7(Cm)pOksW>T1lW^E~r@+Y$~DIuGSH+K6KR z1by<dy@-CZ{E-YIEVYv?xt&&x*rg@kcU9REV+>5^BIl2{N#H^h4bcLPXhAfV+2pp+ zv67wl2Q#OS>Zq;@g-u-v>Dl+GS*cs%6oPNaRrBSIm$~HN5VzI8o#TbPT_=`sq@E5? zPLhaF&uv`<+Rt%HDBOs<AP23Y{kNe_TTEU%FMr4<3ZHq+{RdLVXP)Y!i9Bv;DuE3j z>)n*WW088LCQN-;QRp)1t?S{e;xfI+gk50p+|SpBmWd5ee=2N19Zz3q&*mmX9TPb- zyk!Gsrnh1q#?vy(Dalt)L`~$bBUp-UeH;IUulawf4pWacpvuc9G!P^;z6B=y3#seE z8waZ|`u%&t4?bapoypgZ+CNP*%axv{JMPTxe}S4P4zgfdCzRJwT+NW#K;dA}Sp2{r zw=gpE%Pm#eId0<8xwzLT+~CLc4pxejw(-BGrZ8%HKLlcnNGx&Sd*S)z9~aX__DF3^ zI0a~eb~^2c)LTD^jztf~o33}Y4;1xH#%PrwK^P#=;{|TyY$jL*MO4;qb;dUMCa)uh zwT%#QKZb`}QOTly2BM;_9j90NRw1lsA0`5t+P+;rhpy^>6@=fTrS}e{{g$BxWH=G< zjzm6Y_q+cronW;O1wLg$NNXxN4#j&!Q~gN@_3a1l-h~~G(@mS-%s{k*Y*9eo0>7JC zC37xH%eDSK&)Q!EYG)d~|J8;QLpP3u$;M>36JouI6kz&s{lNdb_2G}7h(U+6-cR#W zlLy>3sp7Ijr2~x|Y{v)z4CEXPLF6h;@FklV$;aYgNsnYZ(7kl(vZ{^6=k!CllT#~0 z@Z#SQ=b$vNDF+>JheC{nqKx1*CHrS~SIz;m;G$2~kE@QwjI-i{@?EX1S|bPE7qn7a zmlka??K*u&)}R1T;w3aY&(8zMF{t{s^kRzSFjfIY1q|EkslniIXXnLizAH`zcb8xC z^vOz+v<14tpeyn8N(?XcM}p#48sPIG6CR1@1G*xg@IUduw?k-q#d%NwBsw}HY^M!% zFiQ820>7uF7DNJ>PHc_htM)$l(pm~djgJz8&C6tDfUlT}E`RrX3R$gP?El9CfUdze z;giT`sQjerK*S?AZjpRfSw*2XllJWfPn|5O8SCgUw{W5W|05#}nv+!xFhuiQTFMp# zL){p@{&`Sq)b%oe4+J(dukzYVeWk9j$<SZqaB|)@<f&)E;w-@XZKmt{p~wVu418g3 zn1vc8DFW~SwZ1LP^))ri^Zvg9v(x*#yMEY=_7G>yO&2lD?brMT+Fq$SVZxva9)E3g z1@OwGrZqURn%)FzSDkOY&|)aM-l~zn^obb7&a&p+fsS2HFNoWLY|s>ReZ<)vW27He zSP0{3;}okLNkBq216V(3m#Cx#6|EP^6RZc(lfL$L+b^|}f=z-R-9)26+qU+3>~zb| z`*er*_}&gJavoKRx5b?Dx8GdhF4tD^INpjZBhvN_p9@~nW1gz~6+FIB-Jumnu+|yl zMS6^gL4h=tlN;<`X^(0?Xt3NZ`*g}V)iWG(x(9GsWQRE2WovzVK6>IXRAXh<L7lbJ z8|*skv*$MrKlUfnbDs%nnE;|d9-g{_&$8wY6ub-09R7K+wPdc9;-;6mHdN~;$-vZH ziC*_q>N4?guI`Puqu_D>ARRX~ymg7Av79l?{oLpm4lIpF$#(hojpO-u1P&Z=>}^L9 zhpRcc<7r@0D+`4KV9af&7CXeV<hErq`?3@doEf`pGB9~%ECxl9QY{lzQB3nwzc}Ie zn)myT+4!JVSU<A;XCt-)aL(ok<<g(xb=lxw&!#jhn|{Td%Wk7~H}aCX=?DdzY#7mR zlI<S;b()^2A-PP;u5oFhzJR~&#Q1C7=y=#fZg31^H#2AcPfETwdb59-hs^HhuFMf+ zCR<jX+iQ3YaEbm##IYvrUrg<ImCVKx(8JLI+wJB{YP|_EUKNO;<&MFZpOLM%BAqcB z=LM;6%UVClo4K%mFbKCipA;$_|49HIcFv-R@wZmVM6PTrQjL`zOWh1}EBYV<+=pEZ z&O?D~crCvaa2zc9>=nVTD6afc#Xq@<r-xt|ak|UQ88Rty&5s7ewiACMU8H#iCZOzL zsVfTSlpXbfqp$q~_x<k=@Dn4bADm9CuR9kKfXu7PmH-#Luu%S{D37LxA56laS0ITV zJUc|TKJA<%+-Fd}`qp<gS-<<wm1I|89dt(Nuo$ZG)k$Q_RkiqpFF!#>Wtu$(ijWD> zff6H&s~O$khJZ{{X^aW~Hpbp~MjhgJIDfMJVoImROFws>&RZ~gUAJ#`b65m=owc)j zKBI7X^^K>3X4Ti6h#Jw@xYtHXdLK9Zf`VkFYmE7>7lh-f|FC~@2>_4}HOmIh0j%$n zR3V_Rm~RWvC;2iP-7omM@8=ZSjD|j`B8i~HJ9LGn&07z2(e~&#-5nV~Wo-AESdM9% z$7Ox;FN^faYFUF6E`|SIZ}J%*RQEjHXSYyDeWq4LbMM!n8C9Y0e(fmTkicGPT7fZv zN6aG(U_fK}&Yo%rx(w*<x>tT~n<=_D_>ap{Y8r`?u-XEXjKvS8hH0lhIZU^v#8$Jw zt0!QYucDp=1i586(B9>J6Ri(xR)cwY_n~y@c8_!TrO0xku7<7gwN&IB8W61)K_k9g z4|ojycdt){zZ9o3BB`tAX~suL(2*$IihK68%V7xH1-?_cDOhc-H-cJ-5=D6CD4bWf z)}F$<cpHVHC9-VUck`Cbyr;An1`N>2@gmYzM}2Z+!T`!iH8{6}QK;CeLZ`c{*Od-+ z-=&2F5wWMq3|x;Ud3E0MqEZ7M5XS7^gVtnL1Y<Of9A>9wl~qmoqZ;WF@vKHUGp3}L z`YARVew1*3wdR>Hy=Kb@>!sPyb}U~2lR6<x+K$<=d?YEP#FTurDq`--p{b-HJuAON zGPp%)vVM95GO#;jY54vegq<*qgkm@v?|~|Pwm;{h+?>Lb+xv(g9ERlS_Yq)e?Bi?% z!8+exzL{x+LoK0!I&bV2++xLW!8~Fnf`V90?+dC0vL;Qa!m_euI)XiCkR^u&ywF7D z+58k;T@IJaSKWzzb~Wyp;gFEePz1AY!=gl?5XNxj2FCh#gmscDTdY0ou4!+EAtfVD zN3WWvwkZ4si|unokm4(NJA{o(q!=bxK_MKY0375JUd2F$<epp|zXAO(p*82-FP(bG z=(isaKVlZ=r5*Kt`BhXV=6G<GY<~^7_Z4Y?u7$3K5lo4fr?U=OI?nd$*(Own&&mXD zbdDl1ZsRoetG4X>lyTyJ#9=Bi;PzhKb%J$i#{cbzr!`NoFo$yL)~B$`pLn`W!)TKk zB7xeU>RmJWXg+6iN${hQHYunr{V6d5+?is6LMgj^NWmY4x0n<bRH`-~DJ}=q+)5mq zkYw;u?)l}D!b~NvJSsW=m@D!>h78gFxALJ_$yesa<pwliqyY+BAGdi}c-_>jfR(i% zI$r)kL&6!Qn;VWdbVs!cnr?<@od2J#t<4#JuTBlh0Dv9*-MaEqPZY=#5yg>!KZ@q} zac&r}RZWa@roM*0(JFnXV@BNKhsw4_vK#mC&<zUop~R^yXgvE=#dIlGbs|_AHpOEf zr;{yqDxSGPx1^twG7_-7$y#3cGRnv(V0(J+s1a#^>3^}B^We=qV~qT=<&2QZds2xn z-D~VxdA~ohCNiTq%C>jwE2;8`Vsp;raIKQ!`soQowLzm&%{lO_@3#6;TzM%K5|bP# zCa+{2YQF71$#s+K>7Va0j-6l5Iq$CRFI$22RVWi2=LfeS@O`$hYPi^;t<GrelTPyC zT0h;vm(>Z+4<DM{ieJ*D;cf4r!Na(hVCy7=4*YrU*MqM=B?EV~T=*-sclvAH-uR76 z5ojiu#^oO(T4#ZZ&92<8qhuA*{CZ8!<6hqrEjQovF2yV0dmBbnEPJ$OzUfcKh{B?i zMGZb6=r^Q$J>>UA{5Rq8Q`kde>eJe!zZi?DPp$v7+)KoV6M+3-C@H&002q1^dXQ1` zPC3SW89AW4>J>-q7~`Fh(+3rK4^>TqWU%+4{_dsk*N-6JQWD6&n=2I8)I6_72s+;Y zv*t~5^Tf*h=oCAo0rGYm_u!;x9N}3h67hr{M%ZP!M}AmXN_qjjG*1owCC;%Naip{^ zXfuE2AZC|?=d?9g*?IjB;I3Y;y!^=c$hnTnkPzofhIPqh>P{sf>VABw6Q`5eSD}TL z{#Z0cP4?ece}P|}vd!~C?)>?nZ^6@Uw|{=rH~C6I3LI|gXBHn<Ji<<V?YQh3uN^DG z7pgM(-#db7K_rJN=V8ZBaYMXq4~?}}Dxf`0;b6u?g-XOGtxBP96J?~)Lu&||9Jtm% z+EggcYwNvAvYbma2`H|0GmIvav<&p3J3n=<=wWv2e0jNZ^5%1D2ZIzb1@Oy(00hF{ z8GBFAXh;V7_EhU+bO$7gJHc_AA|AVR@h~60=j*8hXR*C6p+16l&<Qzj8A490{XcRL z{I?FM0ec%|$}b~>zmL`t#MEmM>0DNN;y?dpgelSDmquSM?eb9a>$dMV|8w2{jc^ND zV~eLFU_VCKB=!XOipz{|!1|zq+SJfJv=!0WLVVckhR#3^>;gw;PFQ9aw!tJ@yvgVQ z6G~Ldkr9tb@JQ%o0+{afvxjBEu}^Zq_6nNHE`&hraPv@Xxi`HukN`xrs*g-4#^B>> z+M+oc-OeVr<5l(O#lB13MIFz;U-#gg7qJ2x67?in6ktrl#+5ao(AYmgUjz4iyd=L@ z@Q?(v51r_ULkJ+_#0~rlO-ijfz6{k@5*q3eAz%DRXU|lZVva#I0z^oP*}<$um)i@H zY)2L;0D~8Q$wwpOr4Pv=vt%mnw@Gm91(mo^-_Bw2>+Ak0sC9{H*3Jdjztd7+@--B( zzGOpW-&g+1wBJ>`K;XK~ngP%!W~XT5CW=LF`^k5lzj_dIOqHdac^RzFo{f#*aR@0C zx7GW1`U-U#sE=kBs*MwS^O@qdiE2XeQBcvHAm1SCW5fpIF4vZ+0Y$hkjS*QTA`>vv z@Fo46-D&dZZXp4V-J0f;UNt$|j5aAZY%IS#IOO2%^Z~gGJWNVCfRc7(zK*Vn-(&IL z&ugb)f>h`xZ&lo1;nMT;?)oXu7UewAV5g`zpWNj#ynYN1T=;-rfts|u!3ylyu@220 z90~)f{ghnDQl4;B58INv<M0CNzfA*MDHw_2t&egLSYrU=-aISXBwt77UX@6Hsu?5N z?7A*y!Nc+Q917<Kci3A|K$&wP!_N(WS)~ww6Uwd+N_^<|@c1=d_0c+jHoPv()=|!3 zvM&~{uZK0nU?6!!lgZEP_HioaNn>{f2YWM8Ebv1%R!R{}N*l0lQ2qXqd&Nr%PE<ZV zuKB3b`1)aiD*64GppHOZE)eR?7mtK=zTmq>il~8G^CWYQ9A5x#HR0An<jU@L)bqb0 zVaKj|BJU}aXOwY|%FihPN|`;0F-rbV(K-)tkX;eIrww99Ma(qO+?Pp@*~*|>(Dbn0 zyRZJ&^W`5=)it6)YR?z=Gtn3ZhQK(wqEvL1<iyZ33>e~ByfHjjX!T+fUqd<sh9XTd zE%aWMUv8LBBC#rG6759p61~?J`3ZhYQccA0VvV(8{-JQo{T2uR;z7%UhG<KxNBmCr zwz)7Q-}!(vDI(WNzb|JEL&8i7aBCo8cflBx3~U6!4>me@(Ub56F8kJpp<C5Ab4uv1 zQSvXV$m$6DBU`=+r{``yL;<NK4P4V}`MZQ=_}uAkYj_|ZA*HggO<g&ComYfvL=7cB zY5204I_5inrJRy>R!&fc+0SAR`6w%sd8Wmm?FlGdWA~W1>TOg1TmUM8zYODaZ48n> zcPXtMxu7N&cG7<imwfJCkFcjXAwN+%H00Ztn-K(7YK)+(gu@OAN&NE94}0?yKQ{=M z(=@naO%Mm#9Y09l^q({piny!Hjlu&huxmk5E5J%BjVct4*xtga@)Zdb3nb8us(SoW zcS)CjnfdVzAIFiDli>||!cxL?B{!LehMBUXY@5)lXTJwG+H?QD$~|wO$7@3t@gm%H zMQb2pUN!8L`#8;*RCO*Sc;HXYgjp}1b;Tp%`tu671%6hraH;^?i#*hqC1#dTTsi6N ztU(^8`-STCUhB3{EGHw%^x9Izo5-rGzlrM`cz|wFlja4?QrOe*CQX*9J(AON)zB8{ ztQoo8#s6E?y*w?=!HVgdb?bx5+1RhSPem#QYF0glw}hgQ2QuCyP~9_@<CUZJPR7-v z?KC{2AX|A$cqUWJ#@zmJ(UUUjpytAk1m2RlCp!|k+=Ir>BlCZME1X^jwL8+8>O$C7 zpU^wcGTrGY(AaS(<*(0-374MtH221g59RWUjTyU7%D$l`Cuo%T{5qLVaZiP?AvoTb zf2jEqDoeieJpgA@qGyiDP=80qJ>R$1tCN_o;giffsMF_X;D3CT0dP<f?x8`*BpyCE zZT?u<^UR8l;cRsC$AJ}IM`m{z_t>ph^(}0g%B}u$(U^>>Q^o5)MY;+QHVbuiCPPK> zDL>YY)^UjS7_?*|EcaY!jq=^TJOkqf!@6`rnjTlVgU?3hvMfGLPGj2^8{(>p=M1D+ z<4;PRYl3C(^{t2G-0kZCe&N>9IR#h&c0TdkZ{O27AlvxMk}oIE$tnHoiQPY57|tuF zt6XUCJX*`J=NwU<v$DurWN@5tXvQp(Co?6XeGvXCKYZs~A$)f8A4{K~1>S0Zu0AV9 zk{4<eo_#~7VgsZ2Lf3Y8{2Bq}+Fu@k1F^*bXYP%jG&7qLSu6PEyZz-y^L!}IKP5X! zXfgYOGN2`BITtEmd=cH(LWss*forCpiwT`@$=Sz5QPaO8M(^)*#3H16Pz%UX5r+-C z(1e5#-3Kj-u=7X_k(DsflX>61QfiR$`q@)eLh8e$S%pefk%PgP0JOk7Or?JxQP=&K zcwe@r7{UTNyf|zT<klk+f(4TSO&2y>0Aim2T+mJ)dxo20?)?IjD;Fsq-#t%WOtBUN z*4tP1%L6TI)hbs35QWyId5XAeF*a+ZS@L&9>hSCSELvF#u&{%K=t#BZ>fMgI0C2l- zPRo^0*n91BPjfh;U-L+|{aqx&xguJ*kMduWwLZeO{4=s&BZeXi5P0*M0M*F!c7R@x zyV2v?V4Jk!9y1YZ9%Hp1B-f4cjGtTQexx&&xTNsZ1P#~;Q6M1VHD-Yo?RB|p(CgOI z{pT_-<X3(^qy@4P?GUI#y8W}TnGVHwVM?CpE-mE@%&EE6ecalA9=jio-2$;GM?<~E z1_S8E9l|z}9^{;9;$g_RKo+lcc&+Bwj|mf(pHe<X6ky_V_s&&PO7(N-#DEy-N3{i% zoAW=jIo?Q~+kdw4m2()uD=nHr6baMWs+-b#OibS~&W(In48?*L=v?Obav%L-2sfcd zHA;9NP_pUt56SmpS!2Gn3yISn$w};(Iyu~qa9eA=ru<h&4OOfQ7Zgkv`WUzoRXXv3 zs;R2^c894;GX?G6e%}{QJZ#`zh_CW_xaRRdYe9yDLnxF609g6@V{xCT1Ru2i3`m<$ zQ@!U>DZJgJISVof=oLd`j!e(tKE#z#s-|F`Nn?O>@fyIoeA6=wsvVefc`1m*(A-)h zl)_U=z#n9#c<D86Q(80CECN6(^wA;Y9N2)OlNpjWg1&Cb0PECB+tt*>j1^txU_X23 z@v@*R$%+@R5j)F5Gt2=d2~1Ep2QJ{9<SE!Wk^ItBRoy(>|GWIDT|&MD!R>*T<_Tih z1_K8V?4wwSh_|E4c==qkOH>JB_kXpy71<Q7sn=%gydk7pdB{HLabmE8Z1r0eYH2LY z!4^*$;vkUM9ma2)HjKm<8m12INR*C?tomO!F%|hw%&}Mh6da4A<7}ZKUV9n}e{>WJ za~+oF*6+OQO{vk63gbehX2zO~&zFuPYt#<ouME=JNVx3maLYc#@c{{y8@^)N!2u#) z4tZxr<TsSFYFYl9i%A0irY!T#O_^Y+MKN=grX^nfH?E8eyrY}-yuT4AR!c6>d&N=c z``5yyv@IXSzGF5FuJ-KzVxD7A2A`=UVnv>sxjrH8L8yV5l9n{(i#;S{qrI>N36nz0 zACD2DNr13;#YL$!NE$s;wyPXCB7r!BMMEmWn#v;rT&-%>NxHl9)X2bL*Sq8S{xMf( zt;ax7KX+j8vY0UA0vkQR`NN2%sA(T5tiNmo8zG^xh@L$kKDSR_=<Yv<audQWf^}li zr&H#e{pM|Ca&qqN-^U&CTTuXc4yVFdum^EK+oKvE%Ga%?FZY`ym`axat+~$bu^)~! zyk=rc?A+_f)ZOJ}qxrOTTTJ&Tk{9Gzg2vyigrH)ti67PY<C661p*g2vvI;ZU%tH#7 zq+Pxv@BaBTk#|$1g$$<A=p$t{FJXLljiv@d%HA4)3_48Df!wO-_-7=TWcz|{=(mdd zvm^VR2}pVetuii7ea7l}O-zx$XiAi#Qy20aPUi}gG^aLSDKf@|SI<~*9Tq6N3JFV* zMz+8DWA^7^+DClc_D$)Y>4PDuDaDQ1V6}Aem!u~l_Mre5MQa?S1jf0Sc6-*DERmS8 zuKbz2=bEl^X0MAh(Ks*Dy6>#lBLW>2yLIbJe0m()inSQPndud~(>K(4538XTmsk7p zm)v3JfQ{g%(v$lOqmlvtY^UBI-_tv)>PvQe#+{iz`xG9zARGK`B6`vzcz#=({a2h~ zz+V-Qa-hAc{8O*C{c#o=q!*h$dVRR0@%46|#KT`O{Rhp<Lpmu8Wz8*xe8q{c2)<S+ zg>%`8S{xYF08#Js(yODK>sY6R&`KXDQIE~ehM^R+q}wm%*M3sr!Y#jao|V2?^W2M) zC+55gKix$AEHSQP{?az>*+RMvBDWD6uz!5{O`$D?R!8miJ!JYsaPf{`2RX39fK?c5 zJH53<V6nuhF6;i^XxhHDOv!1vA&rI~e68P*37=@%�EdoccBtrEj|<3jEI_(Om~O zrsV4w7>IFqeHcXlWlGY|Bom}pIgKF_;`JX1vRupZ?XEsj@yci57yZAV9N=O^aZhae zVA{C-tRLwOMbqBq+F%A%QjeXg3u!mVBW$V1pTwyma;ki?n*XzcP8G08O=B{OefiZO zpiE)368rp~#jKq_Q|*M|O&+9z;h3R06BHqs5yr%N-R;QY<hF=!H@n(@G418IWk2%w z-wDOOyl2e9<GVpbgt`gq>dr-?1h*)$_VgObjH?J9>E(uxks$2{vxh9&o;o8K44IzC zFgHb6b-_Y*0IauHbjX9&XU9PJ%ITK1ihQ8y7UKEfe5M0shCfi4eM<tsr$m6OQ~Zhh z=t2PUCUpBPYq%_|)!fsRZ=bBMefxRsN$&WQ3^aDzz&l&l=C#0A(-+_-Tv@wxP}zs< z#d2!&n`{>8A7&`v!}aIYjIeK3=QzOLK05fTa>DCWc<)FV4h2L9yOjcAE%fbo3zv-X z*a{?XWv35lG_UuHHi-&X%M@&GpGKf$6~Is?bXc-yPbUON0`3fq*^H{m<)UAo%rRX( z7N9kxdM)G9_?n;`Rr2qBXuUFM9Cs|jqa9Lo6rOi;6i!nb`lgs#*H7u>Dss~HgC@~+ z24KZ9_b;KbHX&i!dhe`t+5h_(Cz;#8Y_9m>K$FA>i$lQQGV%dOlQkxOuwFcxc6yUG zdmY)f7uy|t1T)Y7ef)XwLJBE5wH~v0gKA8klp>@Q8nWJPK;gCuz0@+=*i*5U5$Wm~ zySOo<&ZB{=gn$Sebmn#`0O#&Ik3o|^xg*(5k7CBl-er9=m`Xpn0NjI<T}af=+g#X} zJXkF{j&n)>V_tO+hXs8Qc;RGjf!s#1dqs}Q72N4v?uiHP#~1F=%oM<4E^LrM1`MZm z^V-EQH+*jFhERef7<g2?L23Iic}wS8)Vk}12oBp|N7vci9k{Ps<X<H02Dq7@D8LQ_ z^#Ew?LT1Jq?mg(Z6!d*(@N!w#LaL)`r+8{aVnW{~&~Pz)#23|Ab77{E@<b9Q%Uj?m z4@iDFn$Ok**tr|k&oP@$<$B_D;x*@SX(8FYA{4(-?3%_qXN}Xo=s4ehZvE33DnkAD z`vf@7)2$8Sy1%h3YR1N8Bxb6K1K*RhBt?jEv44E}kuarOi#A_WC!*+!+_Qq;$OF&^ zUG{?@=JXiQ{p`J#$E(;I`L&O~o)({+POpUh$PKn!>ly^?V}?sFKX8y7G)0&jqkwig zz;z@N1Tcass>Z1Sa!0bgkl>|+)5GbNP^6dbb#^nLq-NjsFB`Sh`M)=0#|K3spIPqo z77vbich>k6ho}6}u9L2Bvy56WM6t^ZYzRmj3P6!Dc&4k91{vYY3_#ccXyfB-{j2o5 zXN&hkT&VVWEi^A|%7v*HJq7?O&Nh-K?8}kkRGqoqKev@hh=$=y<m}6p_fz2JFQ@4> zIiyrbBqMDF<Ub~!?cQhMfxkK_%eRJ#h<xlF{+W%O1*OgeKDm{w=D&_ScwZS3hpXF| z{7_cPBX)s11%=}{8=Fa4Njp3S!%WLvepAh?t1LFp98R^aJWNbRc9Ga1uENWQapDi^ zb)>IxLs?^X*dJ|#$K+hokt$PZ#uHj{hpkUNQYb8=LHFQE_4$?7EMt6{pvw%XSj#_i z!dQ?8XF8}4PBOD!%1r?~#0QQ0g|vAmK3@4rVQ}Yh9JrAYkob*-$ur}g$qz4SntMC> z#A60$_b{OuR=!{CjXaO*K(^Mtoxkkl^SAKalgYBnUF7X;;>9b5-46kC48BQ_r#u8o zx{Lop3D2ZixKIQOW}DI`a!Y{U`EmSKA;I)LW>A1x-;s)3B95bZo`2CQvkMP{TY-nC z%N~@sW1BBqJ{6s9FHng?e_I^c@Nq~!=3Axalse^gI)W;6DBx(pNqRNg<v!Km_KS+c zmC%0|!DKKMs_}ULx|*z*)=sd=^UZQ=j-afOQqK8z0xs_)S;00L1PJBrZ@JwO8+^07 z#-NJ^=vaBsc;dwd^yhTUTkZJCeuRF=Y4N1Wz{hFl^PcP;L&5MNPJT*I20Ln|TVG{= z@aIRFXTm|S7??Vo(rlmrvmzOE0Nt?2Q^pRDxMde12ickmc6Ir62?a4@DFXbct`@@p z-{uXWYXo^s2c}}IE_?Wm&{)2whFAIhMklMOX^6*kTe^|qS}UDKvD6s^xFv;GJ#Rd! zcNE?~hD;4!ctX_fd73dy%gwQt9sc8B{H|x_zo?>~Y~tCvrKN%CG)G&`s+yi$O^{Ww zXql9h1A`98+Pu)}#<9SKhb>WxUMdI4xixfYcODpAW(4};4NOdF?YbF<x>|}pZ(S?0 zvS<EcQ0(x;Bh^X@4i0aYD}J_Y4QMtXyDs`bILP4|h&F+GU$JDUK3WpAO~(&K7^U65 z0w$xWC{Rok$?XiP%CyZjaTrGe(YOcQUQ)m!I~0qT5&Q)<OT4ul8J$TJK!*C?9iGNS zklMY%iEHZCd+imd%;=N>73|ffm4KpVFa^7dey9FHfd8csd;E(4KrP^^Y-U=~1SmH` zpQ3W>rasXAz_7xOYiW-NE=QyKKm7wYBJLkIpm9BjQ`>W<RUy8Y8a?+f^1!-=yP8U^ zi704keM1cJQA>3eZs7Rck2z~QV3Nsog{612^D5=<6#*&nOer|K*%*tl&9ENs6-)^# z<CS1-l$@xABg6_m0I?LP{SRiCyq1x?mrnEfO1#fme@s$5h7Gkp>yH#(JY9oWNJ9&9 z+~-xxb2>a0{(i?DyBUSF`t(;y-y&sZNd%rC@X}kGq6DFT<_}!uec<xY@<!vti1<;~ znarF9V;Q|P={k-5w9)@Q%=&j#a$seS^=8^Hea`o^UgZ#9{;3gyMzO<Ga6o}g|1dEy z&Q~{o2>Lv!z>QN$9?E;@mVyLl0~GrWH2Z|>*I`q3z<u_L9Te^X;Rq%6MzWgnjX!+{ zk-5THPX4;m(i9ZW1J;Q-!54CL)rnj<?!BGQE51)aEEY7%^y33rC1(ztmtaim*EU8i z$-4n$cZUz{Dj(rB{zc}wu0-e12%&yoTV_hoXFU;=p8Qcv#t!k6xBy2s@Pht9ILk57 z`ukT^j_3(6!t9>#<u4K<lomFuuAgEzFv<5->-eUBV{ba+O^z3^Rjyh^q=|buj|)MJ z8fSd|AGeqK`tn3G^63Su9#ND^IP}}}3n+}^6K@WEn-K#Qf3-5^>hmZlH3&H2me6u} z;%Xd91pc|D6*nCTmHILLrEYD?29uZaR6r9R@bhhWmFFx=2yE+kvU_*lv3VaZlB^0q zJK;E7?v?GE?S2(QgXwC_YVU1-%aw8U2Jr^lHdTK<;HkfhTGwLsB3&e%-iRgQfvWX# z6@);;DbI@lVnk)Sl+zMg^x8|}iip!qpIe476IpRece8l{3=^13EJ+m9>9Zup`HIpa zaR4No8ID5~J2Am+W#DPLhQXeyDvGI%zQ-fBu9;_)Br%+#l<|mX09{<T*ujzE3*AYD z;TZrs5FHBR>jV;bcWS)=)Jle(YA`vu_IIST?pV71t|=(CfK0CwQsQhxj#q@a`a(cn zIAG}ytjvuE6^jYSg)?>-R0gD#o%C(m41vZ>&bQgG$FD01Qpq4{f68+lf6?4DMyWl^ zx|Pb(zr?4i%o5dKUJ7L}Ko<;;gQo%y$SgnA-ujDp_t@7UbVs=;_Z2SMjF(BAX`FMF zv9$ExsW;3)$Gdptw_exA;rW3FZaBHpX68`YWeoV4?9W^Fv@`hGD3y2O>vz}ty;Zsm zZ%qdR_oqer_{?Zj2E-?m8=!E1VD7PRAeB#W%n9S}$PI4YF*i58_37iCY)6c{hMB$U z4R|U~hPKQR4=`{_UP9kM;h1l~5Ya~;L<4)a-|wY8z4>MMwUhquvI1(5Dq-~uXj0dh zL!3lQQar&hWByD9HrU(N81`;)It?!6e!u;SP$>BeT{hJbjAYNA9{yks%3AjKrROKX zcGbyimz`u@SKPrn@FMQ!_K*WvQk$$g4nK>?l`HLS^ey<HOeS1_I_4m@6I}*M4jPW~ zZvI7XsX#61E3A9vjKJFOBCUuiYuMBmbQ&XgF%SgvKv*aa<fCs$cH0%C0egH%j_fZY zLH5vC{cCzyCJdFqZCAgU@Sc!pTMC?g?}3Ys7y#z5(R1Ewz)n)laMCb6KK!spHJ*<P zXRq+?Qt)oZ&?mb&WJpVA`?!4bo+M4c|9(cQfDnXx!`{19{uy!e+<mPjZpAsy^{US< zp!)3Cs$QZDO*@e3^eG)%EA_MstY(TalGid{!)5x;2z)xx{)@Z?H`sm{*Nz)zX2L_- zR(vDJX%YuGN>%e~6FKS(j__p4dUIOTZU8_RFLVJ*MrqS%5Vn?d)n`w|${>>tXh-1W z15l3QKo!w?2C}Q^!R`8%O7wr1yB>b=l|r!>w^D$eI>YAh8mOV;#3vK9YqJrh%YThx z8}CgU+q;$ZEd|{BW9ti0aTN~1MMqWbIgw|D$k&11U7ND+MQoTzfZdngkn0<!<|_^r zg=~oR>dpcC@#OuhtvjdA8FE}$-=M83z6}|{%r9^gB^Llnh7Xs}`hHwkCy!_mB3<5J z9ExcIx5z)RT%GfHkm*O7>R5l!8vpT#BP22wX_@CMRJvd>xU&&Zpov~6gn1Ix7$(4d z;xty_hQYbksnzj3r|~N@36wrhifb0Mzop&K->S^F`;&cbH+#wYGM%FVRt_HIG$pT? zw<iBM_jthUkQsIBFPV+leF_<nrca+rg@=0rHpMnLzC3s^^7_@pl#!D`aC)WA9pdf# z@TcD`w+a?v8O#kW4-5u549E*!Fy*&(6XQ%yLl7#AbR2U(m&NZIRw0{Cs<}$DBk!sS z&R7>>3Fs;F;L(fiZL-Th%-zxD4A{-2uYm)|_7)&cYi6I!3=(;kG>?#pKuu*ld>ZY^ zcU<if%`)PqQ4H}GdaPNgS-Jo@er2>g>xkZuHMKx&%XY4=8pX9nRQa+acL`C_1c=XT zqKpJZ4=V2j6VfUZx(YV??^0w(fym<rZU<4PLGNawYES~`Sf}{HK$lks^xDCyF!8-9 zY!dQ7SdwT`q854FyWFyjA8V`m@HnvgxPhwiNKW?epuLMLcN8<>rwfg4hKq#s#qlLt z65BR;?4Se((w-(E<kiEh5HFi2rg)MKj!C`en7y@@moX>-`O$wzPEn^*pEDmpL@nBv z?lUR2leuEh<4Z$<{_zBnRg}ebGF|g8_>+du=Z|k6&)1W?+>R4@OpJ#;ySe}j5959> z;A<<f*pBG<N0<L)>6iKtCk4vTdHSeb>bq}7{*}wh&enAcO|T>-MC%6;dmktg0V>MI zcSfS9g=@bS1o1EHqXu@iZpp7w)@y-Z%g;t=20G&z6i<bkJwKC2zYjX4XD3yS50;V? zM9zaycAVXYgR*A4(s3d^Sr;|>Z~dr1r>Bl*;#=Y$-)hEvM2W4w*B4JLQqQond)Nxb zO9j@)#D}218Ww)qS$V45))I32CWx6jp=WOX5`2&z|NnZs@<*t;H-7GHhOEi1Or<PY zCVPb$YuSp|G73>qk)79)n2Sn9AzPN$kO*0_WhqQaDO<cqMwuifm9;S#GvE9DBfj6C z&vWkQxzBT-bI&=?My>@{LN2kcg&LmPuNUG9mi(&Q4LkqDa0?W9%_|N@jn4UF>sP19 z?Dq4RH2Iwpz@7|5&YnyNQS|lRw_f`xdcx5^T&gN6SLUyb-j|kwDvZX{0h&^7NAovF zoQ?+s7z|u~{)ftm^?tbD85_(>r++a4BBtAl8n=`_twss5+mWQR)}cREKeDvz(lf9{ z=Y1Zx?s3|hk=qe$$33b`PXPiN=wJfO_c`>aH`$PR#j4p@9v!F@_mZ;^WV&<Jch^qe zk|k7U{b`|I_CpO9pMmTlD955E5N01Ef)NDl#lt&6eE8S-2U5i{Wttu^Tzj)ZYW2An zZ!+52qBkF)mZQgdSt3o4@(yyb(4*jbwXFF0?fPoOXEwWILNzK==_QE3UTmX#WG4;Y z9i9?BPxe%zw{^Jay1wXZrGSvA&83Q=CeC$L_^0tDrAO27ffYTq{>Z<iPKcmj3}#W$ zT!^q8c1@4&T|QMWck->ed6{okNa8eWsh@ACVK8iMzkw|ZZ@HK==xha1zELOYb7Wyl zLOBd}T}utlnd>~{YRyu7aCi^X2E#;A|L!+j*7sAkok#UZ`W>bmLa!G3t*j00MzWj_ z;+e${S_3cD{MM+F&b{vZN=SgQ5Fey)`GH#YI&J8c%~<8(j@0+x+V#J6hGq~^umCb) zm7hsIGul#Jr4?vD{>g)zzm|6p{_GV;X(}WZ!!|3V4vERw<~pcFPSB44C!MvWHh&#V zCv6cZx0*K!{o!eO@##|?wU4bYM6Ad(#O*!mfMxb-#u{UgqFc<0@rGHpLi<VZn(z1P z{LNoYRy!lm1)A{MTb6jF8~4I17Vc4F>QM=R5~YVNQCJk76$5Ku3$4m}@u*T8^(6hL zgL~^wZ7$?JWgQ5)_2G`TvTcn$3As|_M@1b*;ycaSng?-px0+kuiCBiuu0_vyy&rIl zS=Zk)FSBIPt`BpU$`K_%DfBfwQx?rxj+-;%;UIrp3wtD@PEm2bUSYwFB+lW-GnXcV z?cTq`IHj(ghoa1XxM97d>l?S7w`<-yh0Z)&5DCo~8#n_|0{k#6IwOojhC?kq{a~u> zR}aaf8&&s1>puF31}u-B$rU5d))f!3ZG*M(%(;tV!4_iI&2_6uZeYQP)dWe*LKEv7 zy*^tEO<5*`w0#nJ5rZGPOf0tLhN1B=k~QKlZW=CG#!q+V|757G{xQ{b^W7llSg;WC zw8_1|t!P4T=zV@;8q)b?;~DMAM^%(-*H=$ZY)`R@*XB1zl9)S$h~~WuG%bI~Co}a) zx8GAUvKT$S#7arRdRH`Wyv5y`^XK{VW*As9+d6-IR~;VizVyMoxLA1cupPK&HtA_- zpdkjFOu*jY51xNda>Kfbyu!$hUCd+*bIj-vGB!d+#wtLSZ(C4kGT`idp43(#6cH8W z{;D+<5CBAuFNb>4`uGA@CS(&*MixMDjCv;J%9qW~lJ0%~)tz*52Ct<Qq|9BZ!WAWj zE-2FilFh=d3FqW=#UjTMlr-j`0w*`dBM%33{avQwgH1XD-!Tr<xjd4qmx?N<%l}%T zi;2?l?xWpGPvPo*?Ii4CsH1kvQP5fcOSjCW!a4BCSOaNXJ77PNi1)&1Y=`C1-nV&Q z)-@Np1%9tMhcYr}=HoKrQ@LdWNbvZV1Vk9tka@^O+kUg27*s;<A7}TDpxQnUWb6H} zgC&X%h<or}z??-p<YzI<>qnLA3@%8Hb1%sBt_T>L<^$YMq_4XPKog$&4c0*8;te6a z)2Dx;@4U=v|C?jKd2zoWNK61Yra7b*sFPj}>FE5V?S)^ZumVi2NG5?8`!BnZ)ERLM z5!5%Z>|NAVG;O$4q{rC_U{|g4D8@#s#Gdzk$Q($6S7^wPW+A{l=A^RT>8g>lm2q-l zJNcaUmg=2hMR-=lMhpldAC>Vf&^B$|%iEWq$*r7X``7G0wdotSO$?AB1mq^TTnYKj zpD<R9opqxPFw8rFDc^1YqwrpMVL5`}mVe=4^VuYn!Ga6?`}Wum$?QA<6wFTs=N?~M ztDnNZ`wjbZ=T%hArnoQ*cLz@oe@)2;cUG&w6-~UC;0P-w=Ay(juhi$VB~n%n^^YUk zzzW0$_<<=AlyqXtuMRWNt&_5>b%S#ZeCy|PnyNI64);}xfL0?a!4(qTOLTgG5r!2_ zx-7k(4vtq~T!V0urENZC9wRJ;0h~3bD~$j<yn6(Mf@-j5)9#r}d+r7$P{P@dZt6$M ze^K4+I9=}uaGe1Gv>WX^Zmu3J4!H^yU2Rqiu0GxU`s>@_>Ku0I=nN@E2qm3j2LgVL z(Jq_S^&1x6cbpBp+ocDU=PWoBci)*DF}%NMhKgdOv6F^OK;n=#zDE(B?v5&WA=IyL zfp)3{A!`lF&s=CXg+uKqVmzWT-b-g=r8Au2q;A(FI8YnW`va$JJxB9{*F>JoouBfS zb<p6Q5f-H*Y4n{^blKPKpU)natCsT{psB&$nmEW{`WIzdp$tGNmTsZ#C1Fd0u^;{= z;=8Qx{`L^QwmQ0Z0|P1Q7oVIusdAH@WJLxgLxntJ<E^F+1sl&~>Isc2+A^`%fmS;h zjg++Ut1^KMr7%QU^$!xBWWGU9YOX9b!T5sFl`xrrH@qL=!VkB>?4+Ay&~@fSZ4tjw z?wkHJt^@Z7^j-h9&t=HJwZJ25^cW5FQ19_$i1Hfkl`^ao2VubrHvVzbT06*(-<0aY z&nzcmYACY2Gg_kba;Gr=lR8k9R)J8(+_IJ?(4BkV=i%<FMxppb3>{R!E{SBs1ItoL zpJY{-SvheQNadP>+z%zOI-PDgDJW%3tFImnhu{fei2MIMN!fQ0K4EuB@979<Jw1Tz zyL^3pAx8!)8hNa?>_glJCYV9NEUppY-ESg&+I(!z0$QFCN)-1P+i()dX;PCX+UARV zmfKW2`AoT8-UL`o3?0@e!Tp06$u$)FYPfFRmxKfPPpK^^KWufjS&08pgw7qII~j_* zA&JG=ceNH4#HB7!mL3%Q>F`;sMxvybKmLFR(<e7{A&xHI%ly;(>04mhqF$KruU>xN zTz$E<Lrhg);oCD@Pi6SkO{;^T4~vo(yCg)GCeQll<^Fr^xo|)3Mp?+b0?zwbBnG5m zp_Ci7&`1y;!|3yLJ&~;KkvFF7za6of>IUuw6F^i#U<$yG=EPV%&(pLeJ@tm>QVD?) zwCr*x>w674$VK?uiy$m>9$A{}G1ARzXM82eH5t!~V0W%kd>rv}0Lm4S=ynWI@iuN; z{K!4L@)T+&`@j*;K7rsP$%V!%w|LbZ4J{^Lw*+W4X~`YJuqGA~wDOdoCzVd<oD(Cv zU)~)~I<mpzYc_H`KX{4yrnC82Mba7JsAMQEHItLXk66d>e%KqNPUr;n@gB2nnYaA2 z8F7JZkF~{Ag|U2j^CqcrRapCkG2IMVNQUq6XswgWlwZjrp6Pj6t=FBfSA7)>9SFJ1 zut@kW@AK_#uQ6UE8*nZj;7SkjF5O<+96l?8_(e`}gOYR7F5cql_AfRru%nc~x=2F; zxL&HlJAjVL>@NF9)5n`jy?o!Ihk>zgl|hOds{*1r-phRhn<h=z3y*z#<*O;liGtWE zQ)MaT{6#+j!}0d!pcXyR1bi9Z2QLntPKUC8`MCM3E-9$p(G$cJ3GNtOriPJ28<U^4 z7T@FH!7Q?^uyJfu4_q;oAkX+Ex!tFyuJ9U^^OQBt0i!qCd^TJ(as*-D+(kGqMpvn; z*hYx^tJDv6zk7kegLFgz$NWSZMcmP9H2F@6Dr|Zex%TSfgQ75aaNlOBZ{LbKYJ4U` zfIgm;FYo5OZH8nkgaRsXEPQ-N)tZOC<_qxr2CXTycVY9!Na9`|6pCPdP>|3>>9kiJ zzXWo2zM0NjPZT5Jpv(wsE?SWQqQtxJPs}#7eArXdYgeqWHhGWY0h-S3S%r3pf@dlo zib-c%B4$!{(Ch!kQ~m94QbTtZNnk*bb%0_z(D=ttNlmd_IE@FC5&_drgY#uHo0VPi zdbjCE8L!*49cEm#JQCevslx5XNl`#!*Z4BEUl_fI3mrBAj~#CENMf*NgAP8E!}lEn z!2|`~9^Qf$y!rmoMMOQIodEDXWflJEon~N}<|ak9gz!igC=9R++zy}m`BVg!B)}Oa z!0YQd*j8?+yY&3)_&oqVEegg}{)l;=E}y`KuRRBXSQI!CDL{x0?W<QrwM<z8vv^Px z&sZkS@nt8b^-$q3GI*Czg?7L9Gz3ZqFV-t+j|jrgO~AXCMmT#`=T#zCoN0gur`F}5 zmjZ~UgcCtg76X%}p7V+dJ0g>NroL*TfC0i<^%WBicO3$P5DIqT8YAa3x(We&XI^Kk zOOd(g0)T>dX$($TLo*~gKcXJ%V^Q$D30VAx0N`E|#CMp1IEKJ}EChh901AM6J1_tc zRqz0K{e{$zqdy=3r0CcGov;dF<-h;>|1p1WsaZmm?&1fdJ|jrL%Hp_rjj30{e*oF% B-TnXo diff --git a/public/07-basic_statistics_files/figure-html/kd_test-1.png b/public/07-basic_statistics_files/figure-html/kd_test-1.png index 1e6853ce67fdee738b64c385777476a8c263f633..e5054c2623ae5d41a96fb736da8f32296819db7d 100644 GIT binary patch literal 15736 zcmd^m2UJsC*XB(^M+BtzAPOi=dWWbWMY@1=6zK>^?+_ax2m}yNYNR(sDFH-4MY{B& z5Q_8;LMVnhH~7Bq%(rG{&04c&&3ym-F}Wf4+_U#S`|SPfa<9+ybkwLQSSbJipwduR zF#rG}BmlrZk-@+-fzP(0002U%r)8)L{saIy0I&z-<N!JFhyv{G0ekR>0ndV`2&V}z zdpS9joV~rAJ$S^(p-^%ttUX~GcnSc=zyW(X6k(k30{_6+qfquJ@QAg?VC*sA@dPCY zpg=120P6HoaF{^m^b3W;pio#827|(Y#}gD5i^85@>;a6u90mox?ZIJij6mu13xmOe z|1enac!D`O85kJAqU5kBdn^WgqX;A57)ayv3yVDguL2L)lamtw0O_7!P$yXMjX6CB z5+IDcbCxRul|lYM-P8*JI3friNZj0}9RR=q4V9~g{^@JuF88o)^)EeolXaU--ma-v zjXJXBCD6GiCcgF3Qq{h#w3RGS8!zQ!V%fHFq7n7k2RNht4S7f{6Bz1loUcB8e%f@5 zMF{wm*tSOo_<tay0o?yne|nw$X83)~6t?|){oA^SHcB%?PYM(zD;M0AMyYsNdio07 zbTd^``zHLX1t$yaQY*jf49Rc!vZaltnQ1?(!sBo5?3Nw3O0RvEq%QCLs=MmYo6LhK zVSrp#W@#>8W<;;}^)-wSbY4mSai&cX(V-KMKD#j>ryT+{Y*@MhGdz51O#{D6<XAO5 zgI_H;e65iMjE6;9|4>BWDx4W7Ld}m-EgAt;eXF{pjSAb;F<5Tn5--fKw8ywL1|Wx@ za`L<tYGVm~5!@k1>Ui8>^^|Fxa!?w9-+mLEb#Y*p6Mm#E&4Tv)B5(_VB%(nNbpUJ9 zoFl=={-ig3n<CN8P57GHmx6X&==(w&QX`l8kE+J=i`0-(PN}*}AGfYR&LNP-0$zz_ zL0T&=WX7e*C8l<t_DIbx$UQjQdp@fz_GZ&AX<@CE#wqcBfFmiZ#kRyz_W~lWYC3nO zKj8H$9okz#zTqX{!$tuq=0=p{Q69OsHus~IUiBQCQ1*6_R`q3b@n_j}_H;%3&dZUu z?jS8G(QV(zQLKs|x>DlcmMtPky`Vv&Ru+rPb4WdlTkyBYY^5Gfc|ET_9Fa$?9&Nc3 z@-{5-e%9KY`>nM6U5~bu&nr#88_S~Ndts>cEjibZOUsu;yVvvgDR-s}nT~b=$%TUp zA<GJQRVll6!*!z*iLPfNnfSw5b4f(kYobWtO|oz#-$rzvN{GGnVO2tS-Ih9DXD+8c z%=*y2(O-|cH>5Uk<Uz2DLG%|JslcO!&eZ^ACTw^gzq}={<?o)Yy)xnJ`SF8;uooEk zE8C-x4x#?vu1YNVMIr3{cJE&D$Y)i?V<_|%M#g`eOIa<_z?*_~VcQkHGL6jf@k&Wu z&#YhcjN!9M+pfF-XwgIc7uUTF1T&Wlj+`1C`R8=F*K)FgE3M;7;=aRjMY_AXklvJ~ zb{S(5y|eGVSM*};+p&nn=H_$4--M1HeA}kg;SwiqlR4Y&?t8Yl%$H1WZ=^mjd4#l0 zV*3IjXf8+O*eX_C>ZUob)d|satK@s{m&+K)pp|BfXj2S-F4wnPiijQ9kAoJqMBQws zT4!@;^2SzCuE5F56)x=2vY0KWhBgnPxsQ7-#F;1EyNMn?BV))^ysU0c)Mn$$mj7<| z+6uq|YTWGFLD+R%QrCc>uX)5d_$h~3<+_o^tfSnu3=O7^_))_~%}n|JYOTTI<DHsd zU%N@?4>{5k`#n0+rE7z3tI+-nB1U`y1tq^?R4o+ILf3_OOu0<#yvmpZ@k&dH$3n+T zSGn$mq>i?7AH=XOrTNX3JDusx-cf*ej#xUU5&O!&j=?EX_F}CWagFu^4PLLPc|%t0 z=(3*sG>A4}<xaJou=QN&VsyBfQbD_erpx2d8vY{`AD8SA*$1n0uC@KjGx<3eZbEbG zB?N3YdFLiBtZ5LW_)!dKSMh6QhV5O)ER2CWDx*~;n~==Ql5U3-bnq*3Wi%mfQ<&tl z(=X4esvf?rvqD$a6@Hjh_vSh|4a7`{Qg44#Mq63zU?;EQNA@d*EYFZjy;(Uzx5b6z z+HX0RjCKwq=dBwju|pFUlzQ*43`u9C5*A+o#IV-AOM{3#e~i(-%|coSjC8MGTM>L` z4ioG4JGyiA-VAvCy=j2}jg$9(t#AvlYYj*Y%XH4#TYi)#e6@Lk_-OF8J#t%BFhFw+ z*C2?<yMfdZXzY_Z<pC~j?tm9unW?o6fzfpz4UyJSVFae4&ThZ5peB>lkXmn-anwwA zbHpj*cZYi3Oy%F4sP(rdy|DtvUtipGSi_mKYYr)!&jXTvh+!p14yZ&UexP&9H0h*E zYS`k;A1yBBlxEx?AVWE^7n{GD6MRpJT3Z#a?1mNqMhkUH$~&}0q=llJLwBW*1&99l zYFK2s(F=|JXGO$?hlBJdrGmXJL!8%<yJ?Tzlu3fZLQOaYFTo6N<YIoX-Y^(g;{P$d znW6Ln&mqqW5sSI*TG;Hu4z(4n!{*l>7Wg1jarLz5)wNNm;qyB_Kav(C{+Q|}x26(j zqmsI^EC=jG7-kGQs6f5AKGb?R5NM=mU`|qKkvvR;-VZ=T<7<`1RzKfBYR$kwGgx&? zvtIyS%^&Q;Y*{stWWCPK5svv`>>c$HH>=6zhzfm(3w)nncukV*hPN$X-3Zykb5(^P z-ayK+L@u&)fv<(n`I~-=8sDFNL!o!fhU0zN(AspD?!Fyz-~AEGLeO_WlD9!@cofV0 zN6sy714?_3bD8^UEbxKuuIbG@h*?OjoomEf<6Q477f+eu2D;J8U)3?W`M9b(&#)%} z%t<2e$n=zma5{@akn)Uip@D)fXbJG@FWPo|l>z*a^QXZE^K!7D<V<h>%$H8s;8vf= zP+7R{<4W_86k&*`%$c$^tzqA5lj&T?%ZXC=`uR+V3O&Eo#=l6W%m2U`Zq10^VGoz? z*?S9d)(XBTGI!S>rw3I5!wb|feWtF_G4pA1h(T4o6bCeS!!|R<ipyFm`O&h5q+c`n z$Nk~7-99(#-{v<AZc+9c87dX|XLSg4vfN{UADtswqyI9nrH`efP3c}YzzV)2*Xs=4 zU`OwNU11v;`MQBQdl3N!Sx?zcKWNhJ_)JD!$66`05JIFu&@HsRCnV&+RrDmFRJs0z z5>Ehbbvk19ab~E>kkB$$cSpQg`LF8dx%r;#2lLkrtt}F>2KoYC?_SH>>(C|5*BvMZ z^1gF8-sZ8**?nJg<0|L}`6UImKFCq~hapH-T)h{Pl}@=t*^H!6^b}k=06Y1I3Dhq_ zDO`@^uCEE2G@a8|2x|1`dOhVe?5n%jQWbO1oYV5O(e8p|Oo?nKUzPQ9vn*H)O#Y_G zjUf>&ljFbXe=Y|kTfQqy){#2yfNMPVfe~~Gdl6!ipsO>-zF)M|)Q?f2@6$giof!YJ zEm{&LaKp~s)mfxb$JZ43ji*SI$gvTxRAsyFg5y8fivnY}NO$#KC3jrtt#0EZ?c2H< z5kS?qzb%1<*Gl>Qvd?k&{HfFBuPyWMLB8)&Ia`k#jX4$jJZp<i_^2B|`eu0JP%KQu z#KZkfpGE-7NIAfwW&pY~KIrqh^2?SRY55EgIic<cmnIv77Y7W}-i)Tb%}fx6i1qx< z=@oCN)wkZG=~&9YSP>U`P{(@8&mSLb8)v07^Q_%e38d`)K5{W*N&A}G980*i^dz5j z-Dt_!O`p&_PD4LM$*h5D$MqIRFbJMQ_X!*^z8~6aZ!D-1YnhV(-DsyJuPCA-Wkj$S zmRk?z21{Vb5`0IA@@Vioi*lM~l5V$c5&w7w<w3A};3M~c>d&Xdy`HdrRxt=PQvpi! ziS7T`XIAjsOpxY7ZEi&D?ACQ8jWBeUKkB%e2KwXyEnJO=Y%vayJ&!<y5w+1mp!+<C zSTdSkE{LZJGP&;fmsnIbn58qujm6|xc1pi$jLSS4JX#vC1uFPQtJ!s&+SQdfRYV$C zIOEi|27Rx5k8qx64>R9Yw=q-X{Lr}FzS(9T_spF@+HBt0LQp&>arJ!+>7rY@f~gz= z|DZ0KPasXYAVy8eD9f2b4>#9Lb`HIcdGNlU7VV3x=rBkW!la$mYv4W4iLN;()ObYz zdT#Esqmn^`4-evvZl;7)Juw-I2Rf)DM4nS!y{SvRFq4e{XJkU~Ky%}J78~}Y_|f3~ zgSz11!fzk(<tAgTu1*<0e{0murxe(C1-n9^vyniRLG%DNxLtiXJfYdE33AyN*+$Br zX%iju&Of`H>dkMC#H>NgEvb&g;rJ}OTBnAO%!*LkdsxO2R_Ndj^Yn8A_j_8xVG`}Q zpWF!J62vGx-$~Sdu2}0(Xa16~^FVOGwXS02b8t#?jL8r!T54c9`D%I3H6gL~1h23{ zu7+3EYZoKDLY)Fi#1OdIPdz1Z&1{o=C&vbc+@X7=kbFQfy#x|tmDf6(z|>V{b)zpf z@XlKdT~@(C2Nh3k%?TRA-<Sj`ZZMbY8oK|jxXx|4F4-%wlKGbFb3P$msW+_Jl|Kua zwaHOWh0IHr$@D0P(w1##L}Hvb4Lf(oO|0P?QTObGR;X2x>yvi6WB7z)-bvYmmB%*H znhif$p@!=n+L@&WTVaz6*SjZ!q}lRD)#pV*H{)QgaoTo!A2J(l*yV`$t;b&tU$gOF z7Ic0ay5w@Ros0&~hOIJ@q(L)oX6s=i+c2Ed)`y)B8&s4yUqlxMd~S#3DvF1=hd@M9 z6NJ!Rz*0oQZUx^7H&<eqz}d?g!eFA(@Y}ll>fog7dq=lSA9B6&X`fW8?3bZ99kgd_ z+|=CC#>^DmA1+|g752ew|83XFZHE<=_Nb?3kM;S;i-uzS14e2sa$7^c1>N2PwEJPo z?P3L1MUP%I-r6^CWyqz4@2plk3vBSpyS>=fqS{w-iU}-O@pzwM!qMJ>X5C13#CkeQ zYJBldi1TPLFKB=XiN`qC<!`4jJ?2A5k)aj<**yn4<Z_+Iz)4AoUEL4soaB^ezO2s! zdR%s+SMhTK1*7r|B^UAK-^ui3Z;Xt-GV6%GzB{M89MPgKMKa`H{bZ*+i+&cbu{G=* ztP`~-N>mv5vE+EmCV?D91)Y^eu=W4Ws$xV3U()2#>)cJr+eji-59-`bnw$9kk$RN1 zEg|R5h*jd&iz(0c?ocBx4OeVIgI9eyb<1uq_HZvKV(yZ`Wj^OOnrrJ)_4+)^Ln+Ff z5|=+pp1O_A2rCMcW-pD^7X!<y-HONxz)3AAA;)kuA*;Tq;q1`xqlmJ}*3SEk=+%*! ztYw}NcEg$Rj?MBs->?mPSPutF%fvg<!mTY0DNdrc7GEJ_Dx$)tQ~q5SCP`n2<c!26 z26MS$J$_dT>~EzQBCvC5M>XdWxRs_uBz74vx=}7$*iyH2E4S-OlKg9?Q3{jL3vS*v z9S)KqF)2*r+z2U*%X?=yLMWMocp!Q00^5Q>Y!egY@`Pv+5`*xi&<m)U6hq`+m7LJd z%C=|)k{p1G4i{slyRO_)$#=!^;Z<cj{t>IWABQYg>)<L=78K|W97gt2r7x5<987VM z9(_l$ZWyO!2eZo&7qZ-JnyO3|dUrTiwPF;MPO=UoVBx5sEZv6>)cm+#GZBSzGQnQp zUc|o2gQPMph$#7z_eO;vV*EP8oEoXy*gIPwpD{vLpo5*sLdHHsg)wHTy-YXO%-#i$ zXhvnL=B!Z^Cg<E4)ijO(j}$5xVT=M|C%*J-G2X4^p|F1auk%=Wd##Eo;_wtYxbz>) zFkZXe<Usjdu%ido!I;bdaaN`-l*w^u4?x(74F*J%zzjLs_tB{v$+}+O$3;ftkDd0< z+Rd$N@6ngIB}rOa-QhyTxSE$blj+sXh9X+S4<M?2Y1SRMS3|K0)9E%dB+r+$7K4?w zLXWqW#b5I+B@S3lI8Ry9qC3=iAAcAm*y(-djGiaPwJb%q$Pz0;6ZA9k9VC0oTEbcM z<+TTXZLvej-}^)xF+j|+*J2}^?TnYsNnXlIwB9nZd~R7r9DUi{BH)e>(wWEfqg>s3 z)uvnY^3U6K-`_sOc3E3xD1{ggPS)X1sf0uu5rg4k-?H}k^4^o~vv(bWJUY{&*Dp|- zyCCnEg_n^OE>11Vj1QZ7(3i?3;E&!!mrSi}BvTF8e7`9w*_`ZrZ@<#C?+594Fh2X` zC8EL#A&XLPBF9=bT(wQ%Q?<IGZm=8Ty-<yJqSo_JMo-@!IYLI|=q4RNhM<O_(JCL} z{D$uS9#x-c<tdt^F5GqN$SqH*G}~u%@1WG5Ul0)(xJ{)OQc=3OMGr1|v)MWHU}t)I z8uzB_=t~_B;<27^23>Rv+Na{<B?-;fB#ZNpcf&qQr>t-RkgY-m(L#lUdECwSrR(HW zmM<Zfs}lqcn1`PM0lBeJMQ@TKD%6$Ft-CNpGQj<=k~k)>N{z{D)@$uDzdbmKC2He2 z@+`IKixdCp#L#BFkFkz~7?4V;aaEDN-C^S^C5LP+b$BzB>`1?O+dlqd%Po@sDKmPX zJo}CGht<bGzz&LCvN$BGWpF95w85f*jk6Yj4Sr<D9_B%hXyE8Z0A~B)UE$8bL^>@T ztxO1wkRxJd_`p%x4<cAN|0kfRLgmb)R@MAbBA7Ucd<8B}{>-)J%W1&7jjL&r)AWM! zXo@6pavVK)efTo-S<U(_Bf?n}q`&)Cr+dbO@_kibFu$;V3F&YAby0I8zuJvJs26CS zmu6Z}Q&VeYN@1(ji2(UNWkXZ(AlUTkjyB~A>z=9RwA9yqYjjo+Q=Sx`*r!~%hGeHj zQ<;Pzx9T6}O#1vbnu+(cp2k+iGElq*dvrU~UY$&Fd)JXtch(^NZavO53h#DHT6p%m zEJG~j_vxQ7qa&~ivLp3<YVITC^$f!t=);wu!M$T<H<aEHNbHa;AVIBWrp2C!89n`> zEC9cD#ifyp1v2`?hqUmw@l~J8!7~S`E}%pP6JDV(hkhOgPh`SIYfy-{x1$+sBN}l1 zlnTqWWH32#OPeoCjdQftm^|KDUF7=-T(ti9D%g22k9mw%Uwyw>D#E#`x&h}pYLU&A z(4>{Kdf*7=^G%|S20h;zKNsj7oy%NKPS{Nf-4S?^)@Zh6+bP2N<S7y+ap`tin#)hH zkY*gceK53_<~aEvsmjsp1sFL~hze_{wsm$;zsrHHN~!`4pNlp4l8d^$h%`Dk<Ynm_ zv%c&$(*}nTd-?2!4Gve1oQm`Ag}oO<jJhtCtdxV*;-S04D4E{c?VFhvZ|H_EjR8jM zS22g-w)z7dufd?Mae2@=O72-cW{{E6_k(cmS@DZlr{ycRFkCI{=vm~TS{27|@PO~Y z^2wv!lw;@i#5C)XC?9SF<vpZvEC<9ne(cP}N#|lAOtX|pND1GusxhY*vP04&jj>b! zfg=|{q@8m^PE!ZqHM*33X3)YN%zSxw6x}^c6JjNf!}Q#w(qOqqLMtwOH%l)eij{+L zOW{PU@ExZiWmU`pk_;uj7U|>F(=I`!;R6Z#y&tmM?CJ{X--EaWmEShiMb5L;WN>)i zCE?#atWF8zSCSr{q`ZMlcY3HEs&&FXay<2$cE^w3*m3@Q1b$+U0n)#8B4Uc63lxHU zSdduMrjSC6(k9}2h9{qEBGZjv+tcP35ld1g@2};AHE)#z<3{dRzDpujWGM1?12^6s zRf$4K)W<0n6%M#uJhbEHPMXM26?ra%DGj9#E5)agsB;e@Bug96v;ZlhBbIt_k=yes z34gpHKegW4YE=?p!U1y7T{l|jos);zR8&T9to6$9iI$^}<kW`^-m{i9kjq^s_94ob zptD-?KYz%)mNCWn;Z!Z7uccoWLX2K5+osSTsCM=1#hJacU0gjLDJ`IZlM=O!Sb7wr zH^(BJwpYXKBrh@H4;}|1%d7Po^@JjC{#w0xOfvpmW8ac0%QilU+l>(-b{^54z|rE~ zP?=Ggekixne_@>HX5&>jRxRW3G8UKcQPqQYd-1~Y)YLcoybFyvy4WM6FxwvNL+J!{ z<W3gY#=Jq)W@_<rVgL0GYgJ&ppOf)qNIGeu0t!D_-X(cd#3*maDlIFRQ@$S?xu4{G zKiX9t4N1-7TCYF$s_k>HV@d>MZ$&hetB&~p4m1<qj6RI@$eHox)AguY7QFc*^u3F} zG5fRX(MyM3Yf?R<X4*%$chu(b7psUIAAdQcx2tivk@`9COe3~_vN=t(r^}kebVS_y zjT_^h!m)TB>9>x~Ij-)O<$2}N_eHCemt%!Cepw!5Q-)MHH&@#Xc86X-u+iEgo&8>! z(!j4Wrf34(B<gDmV|f3dAmhxhn#iv-a1%07MDwPh4@-|u=#$4lI~?(j<_@y5Vt6oa z{y@1DfdnDegzO3;@c!1uEpCJj8I2$jC;IRPJCXVs$fKvduovU#H~?~;{tnXlwlFW# zHVynvB=ihQjsjzTv``Vohxi0MWrq83_Oh)#8PV|6IS+x7@PUZzaBZbtmIv_(PRs)L z;hEHQe|z7ZLK_K?-z9MrZ9IPK$uo%`c?m!s(>Wsd&x5xsptdUDC{Y^-_UFh@U=etM z2F?Q|Qip@PM212jpM#nFLx6=Aj(`$&{y*k~a0a;OxeCVKf0ounf%<{GU@wH`{@+_B z%>(3owY7+_u+n6xm%k9GwI{6TH0sfdI_|=*);g#9UOcv3yWE+f>+6mHe}mCn%D8U? zjOK<X%o%3&Fv1*Wbn9ao8AAM?fh!)g&kKRd=Kcz3=LEVLChWRSJOVcbdZza<gnmf6 z#$JE>%e*5qI1h|T{yqio>+J&Xv;4DFpnXkiztcY|lux^pL1HVN^Kb&3YSUjBGb&W+ zf@1`Clg0+Q-s17F!I65b^~kA|UPu)b3^ZPjh`4C4?WU(&_X2sdhxGlSM3H1-i0BfJ zHG}7U&&Jtk;D~E4A!grtc8FqPUCSc*5XdJ87=7BLMLHJ;2ZyzV+*sUWP}DC}dLsWA z4fjvLLrrA`BKz$UI!+Jvm4nujWLByS;&7KFQvUo0sy3fcSnQ)SG=3`H>?j;N>DUuy z_<H1`9DK!;YMagmS;LdP0ygy}dT%2k)3K4=u=2D%ggb<!?Ks>v{&VqbFk?}MR>Bd@ z$o=lXPX_;b5y(M~y3O+jEClqD|Bh<<g3M3eHiCGqklJqdPx>zj9Nb`@=~!e50#^Am zHc}Yo`Kkv&Jw;N;^pA%BI0JVt(A7h|XLV9LhOam@c+LxslZhjg<6P7l$@B^!wOy{C zOi^HMK>8DRQ;cv%7Gz-rrfMlRtHB@Z6>ptrS6oNRfeMI)#a=tpD`Ab(-^<sfR3V)6 z2#37|{oGegW#?Z1dFY@M!cCn00plIy_K(@UDL5j7WLBaP;`fl0zmY=`vMd2Fz*E&w zDk7ZYwioFj%Tn-^5vpy_6r3lcM5D7EtWWuWa|OW!mK*zM&G-brI!UgV0vYLXL8s8b za=T%HxSRNmQv@+ngh#xh+NQNZCWyb@0kc3fsFIi85nNZn;FVC-pC*76i6HF#6<Fm< z>#*Ck)YFIewUEZtZGlR#BO+FG!@mPooVkR+^>E&3dJY<7I6dfKi$i%4qM~q6?uW$u zyY^&MAc{TVCU*2V(qZ6dt;e5NmNNpa_DUfj#3-@)<_7?<lM<c<z~NGy9><2ob7oP1 zTg+^NWVCyn$ra`j5DpN2TOn=0epBvMd9Dyi0(g?JpjG?O@dZP0!l)zit+L9iKE5K_ zeh@mp(7?PyUb-U3gMS&F4qG70eX{OjU5=Had@r_Mz7G0f6Gg8!X3i*+%v(A(^XP(% zF~PN&4UqlfuV=K&mhTa%-$xKI?2Hg%r^#ybo`?cF84tLUyTok|s9N59t&srT^a~0q z0sqGZ?>>N}o^VxlE^I2FjLan60S83i0pncxr1hNC*?k*N)YR4faK6vZ0Ex;DS<=5u zkQNQ~X4-SumKxa&l)?G1m=IuygaNIQo3Smv=|y`Z>W^yiK_Pj3RvcR%6gGdIS+--! z6#k<APp|;htUewzQ~CS5pbeei%A-G+%VL0JytUSrB6og%Lq-9_von_w?IX(WN)r<k zp+?dq%eCM=tD`^<k4^mWoF!;ecl98e#zEOtV^sTKHKns_jnVug_H@H)OB&~j^4>;v zF-PZ1g6yB5^zJetN5_kci*;6$WKuVcb9ZA6+V|LFb#6Cmamhl7$e1mV!|>XQ>`?3P zD~IPQy8m0yEj?QVQn`kN6ldzZC|4{Z>})tA+Ll^xUA}<hYW}T4SKSicQ?(a*GAnt0 zq<;*^Qn$I?fYno7MpPZkkQ4^$heT<=)A@r}k12X3V!KPY+$bAs>T$XHY%A{mgz2FD zSy~g78RuFpPG0dnnb`g4{AardGZw#lG7UR<E>HDQGj+r*y^8c@!kjx@S!KRFU^(Q= ztC~aC84vC~lAD-+g2?>4P}}@MQm0v*Yup0esSV^xWvmL1nAwMVd4zg<dk1?gJ&+=V zc2Ln)8(++>g4%mbfszZAlxtw%N+KW_XlMy+=XaH9-`jx2Q$^E~3TP}~yx@!yXD%CH zOSGHBIE#A{k<ox|!m(~tzw9UU<FHiWtbMIl+8=9>yabidp9=u%pTct>*vp@3^N0np z>};=Kx6X&PJmF>#RXIpzWm+M(A*7B5R;KxH#b#n7OGszM>K<~2God4*qkAS9y;=pP zm{k8NQT{@^>y*7io!g7wXFhi`&CnTlLJeh0Jn)xd{|W<*4~Z8Al@BLoI{cxt3h-){ zvodVP$iWZ^-(w&4>T9kD*-%NZTIxcrALB30%YB(qovS2)%!bIpjITP=ND1F56Mcxm z+$$&f%n?!$aD^+_76}#?XPyT!=z376XcKsC2RCVT{Mv+gI_NVPxtu~_>manOx^0;v zr-!(!U9TKP#m;8TE91Hf$4UOIhaPRS;c+gSb8r47c(X3H6Ri4%?pLc3l=bM0-uWWE zV;xNEHaTeA>JYO5UK3mhn7eD9Zqg-$Gv9V7EqW=iA*Yq<&$d<YE0XFHJKBd3AISZ2 z(cJDMmJmbG!6iMFXgxUoxJmH@orj{e!D2XJPZ-d)9Q-rEqRVmwWcUQFG#Lxi``#2c zVbKw*eM(mt(L~5iAS8vGbF62r-xCajs7>K?pL2n(M&;uD?lqaiBYEho6ue-Bs)o$~ zIlS9dIJ}2;k7b8IiHKOxoPOe+YOw$W3TmXe$#uPzx^Hn7vnPG8CXR3gXmTIwJiPm7 z#vP8Nz7V8*2QkwMvW%v6f3jmrOu*tP5`HV<WiR>Ix}2QGn#NRu>}=?UI*&l^)6urw zl8?iu2*ZXh>S2Qt){lTmG#dF`m`N^mV){yQLDU7(g@PI?)Ar495PHvdKS5Y`WT^}J z2&Qd_JiDh^7CYYacpc2C2|)n@68;}#zJ$<G#>AVYm>#PRYT`OYubkWb$F~Gm1E98? zr`TaY$g*%A^!3M6)6=?}VUzF3lYOrK1<jWb(arbS>$^O~W3sEWXKwv*G`%@a+r-Sh zq>ZN_cMwOPg&sLs@VK?c`~KH?LqTv)wXfNfHn4=3Rmkwugc}5N!y~!REPg8A>floF zXQq^n;q-8y*%FhbTII!qosJN~zJg#a9h=>!wli?(yy`^^0@isF26)v--fEr$B8--+ z07|eR0YvnQhX-*BW!w?C_DC=i>h!uBKF)01e8mMNY6BrL{2?gap9<iN2!gtOXTvLN z@)@`SmOt)y77<4(zxt&6Z&64X(G`b`wsE9Njm$|PQ_$R;EV44fI9kC>$L_&-n_=Sj z5RGqU2=PLoNc^?#bP|`3;*FgzSDgL?TkZ2c*UKdk%cYCs^S7S-iCy$%+l5C;rpOv@ z)4soF=K^+qKnL_I*rgMWq*AvThO+*tS*}yiq}>s+q+vsSEhUz?PJtRFueT<0?9f^K z_?H^(^&qLLOR|xd5zE5}_Hf;QL}!5etoJPDQ1l*_(ej;V{F}yO@UA6xs+OK-<L^ji zj7;!BpJB@R=MorYuZ_paRZD8+K(9;kQj&zV)Bse3Y#y|92YIf!)~3^#0m6gIS8hVq z!A;z@(#&+4V&nqNE(oHw!T-88eEoj*U*WZRNM;m2WgKjnN-$t`NNQNvcAENk_s94D z?l5)|a}fCD0!G4L7g-4P#=(!QA%dxbVP?u|NZ>m#-dK`%zjf=E5<#F#2p4g-lEqby zJS*PYn9=c3LXv*%3~KZR+tPxeb?en~Y&s!@pn*xmEZ6F5j8+Fwf(`@LrTJwN>82AC zr#TcYy2|Rw-9T|Hgs@3Jq1z7*ZuUs?BL2$ALF-^0eyYVZR6#!Mgzyz-T@(U4h3<Pr zLpRnK%Rh7wXn<MnxQs9=RBh>C4^v%3$RWYpGq$O<S$2Qw8eUY9u5Xzi%mh@3z^c_K zWN7iL=PalM_%}dkej)JDjaJO<uV7@mhK59SxeIs4#m2^p2y?8r68!65QgpB`1M7wz zB>OylZ|fbXM910GI9!&Yg2iY&nBjv-ecE?q#b=_nuK|{SiVzQ9*xSF05bP>RI@ok1 zKtOEToiW-zAH;A4>!JfQ#7yM0hUjFW+Ge;z;DAG}+Dr7BBO&FD+^?KY2L9ibBmdLd z94!9i+^!Hx|Gy9&tO`=CJHX20Y+<VwsRdYk&h9Gv-fsL(NO({Xv5Axk3eakvu%IWb zMRmb>55csb=tIv9Ldgl1xBfh(J(p?z{M|g>*JnLuO`!gnq!2`q|G)YLpzZxn_4@D8 zBzXe%fB(vnchj0&z&wI`5Eu`R)clwJgJBh}eVqzi4R;&R)pA)bNUbPknJed3i5~%& zXkgp^G^7hTyPtg6a~+gNJ`xi)ml^G3*b}4K-_T_a`a75jr#8lA?~{BNjI#Q{4!Q^O z2>_!nTbIC8YsCo>3YR~<Bj_2ukK|ItTs{tTr2~I^hnW^@m44k*-#?v<KPb@4wD$0z zMmZ)aJC7jPSD<L-mxo7eXpLT|R*y=h90h24v|zWyL-MU<l&IYMAQ%CX#0iglWup7u zuQ6;AGE+yS4K6Jjmy?q-6MZw{z=I%a4Wyigr8G1~kCBW9dIQNwRLG3_`i(^5_2~@( zoXD=oAF$hgkjA$lS1&rUC?x+{o~kX>3RVxcRKPYr-ZX&y+j^)inCH@ZB6*7y%Hm?r z8a=Avv55eyc#ls;pCGBtBO2B9r_KBKO-OdIlW_Sbpxr^KH`H7>M(eSIw6K@%y<P(; z9%GKjdU&&<1`bKaz`Ge8ifv$21DgR|?w>eLJ84fIfMvAf9`J#U4t*AEH;f~wL61vv z$Y1lf=OQ!`zPX_zuE6Mnj<KD}^d*R35tC}LyYS$X={tz#MXV(*3vWN@2J_5ZK&FA! zy&JK2sEjb|MX*uDkkD(;AkMb|7ZWJvAfx#5Ej$B3X>LeOT%+kccz;DK6TE=}>g+#o zPw(H~NB;*I=06Qca6A4__Es04k*LRh<)Sr*{{*_+8?7uXf*X$Jf0;p5kbi)oS80ua z496<43leatT@<A_VsFFwq-h*)yGKIg*mT|VsPp`l|Gr5%`U{nQf+4#Z2?<n)e2mi% z`YCs|zar~C*qU_pS04^Dd~)eu`jz0x<S>KZ@9{abCx-=PIp^5eX8*N)2~u1=&i!SB z!;_04HkWnofsZr1l)6k(5`KQO6>?1t^jorD7e4{bX?Jq=_5HBgSAcWZ#>f?&2Elw{ zbo|FJK!!pT;Wtx*u&yLspE;H=jspCdY><N<ziVXFlr8v`^BvBcaXcj@IDpXGmMTlj zoJ6X#RLC4c+bU~?oRy;j#>$-iFAYost~=;2R5ZxXJpWsdp><zq5C_Q2k&{u}O&eKM zWZ+W+^gmOANMtm)b#5UOXYEok!BQl@Mado{TuaXf_?`hHl)vuL{Jii~MjN7Y4pPqa zvlaeHgTf;fntlOlEAlDsDl(CNT7p<cgQ(34$@LiEyY$tG;z0r#svb}#f#?`S4$%L+ zKno9ogr0$>=h75h`lN9lu?sz9Ci;t~3UZbB--sdfS0xP`nE1c(x$lKsSAL%3xIG`e zv1t<5`q)7^>11@@DJ^S5Re#$e>(QI6{FUpH8m*HZYM9Uj1HYNY%HI*I60RP|x6}CC z=b;NhTElmbmHMHTI|IqO2>SXr%9U>h=ue)Olk+nUyJqEno4HDlPt9MW>J_}4{x)>C zw~H^H5&b4h$`zVD-g4bsR$Dc!gZ#&?Mu&DKIVv;%4Hc?*SLb7@KTgNmv)X8DNtpNE zN`cTTWT&beagJ{Db*zH+fWPM8@b}3Xa{u`IPhF2L*x8%8el2ivfk|{JlQ@rz?<q<t zTJn|DH**EA6u26f?iF5A4;|Zeic*soDl)q<kcA0J5G$5dMS_#eVTPfcgPfI2lgY|K zKh|eXuqy5o43N=dr?eL<8zc1hk0hG!Wk?zc<vK4DG~m22!-Z>1Ih1g9K~CRas8CCD z!fL!3%W{-|eI2x1n`^20f@Kf25;~S7s8Od^btD~joVZu_dvEWih0+V=I&~`dL$q%x zsJ2^Qey$O9+j|%6;mj5|MZ*m5zt*YVEz1hjJLxGR;eScE^0U^!VQ_j(C`}@L*y{9& z@*?D1X1*&GO3BY2`;qcW0Wm*FaPJ3+n0DgqnOBLk3vgbigu{R+jrc5Hs07Vj67`IU z7hFV?cT*DpMP&`xrYM*QjEF5HJZ0$_I~AkdC^K;q<R;<enp^CS9fpDxTDq?4nn zfa855ZgBF=1P%>y`_%pl-a#`<AW@>|WaA;=!|=(v@$x5NoT=bygt)dQ#@gk8uV{n= zI%q@_0r#HbAii~5a($N1k5o*%$Vp7pTv=nTHi@0Mg0V$|IrV2ZEVWo*D*BdF)64vC zg4Dgfy8RNxTVmQ+Ry0EAy3kW!-fdGu)5p{{sh&<qQ0ZqN(^`vfp|vyxxy1ZWoYHO# z#cd4h4j8UDeQ=}sa$yMewdzg=vF9bvtBu?vySnBdV}F$f-mG`c%J&Z#^eyBID+UeG zptdfeWU8*iUAAIP`d<4I1T=Gjbrbyn$C83evU!M%hyEwrlQm=DEzcy#xh&8S^{!Os zbQ-#~e^?tZwyf1PuUs4O4%5>?z@-BO9Z5fenT~^Ugva#>t)0wXtfK4w_)YLh2E2q_ zwW}sQ=^kifp8K?ZQ%<APz|*ZHq9SJ`CTNtCS_?9|?qtyK-b}U}tz?jNEA+SV89<i^ z0{scLnf}c`kI?uLC*0?gz1_6Kmv@-SXl5;rmUHk^bW5V25j1f1S6OSpq9^liA4TLZ zGlO>mxN&<uq0R^6<NhgK??5E~JaQN^IPoG}<Hg3wtC*bXD(mj-@v0a`3>oB+cnP2# z{S|zCmcQ85tJ%HT_{S|3<j-%sVEF1QSZ!^`y5lPLDIN4TgA}-l$hrlg^vXM`m=uTO z$;P6vEQ}IFmp~*M=<0}h+j^3!pf|Z79&^4)_8J*G<Wa>sBr3}k`z7#Dq-rNaM!yuQ zs0b420J_SkbNB;y-t)JGY;B0dkvbWzx9k{pg;`_g=#-P{5xUgi<nv(s&o&IrpOQG( zE2{vs(@LZh=XKy`pPUle0-6OxY9-Vw3c*JkSX0LLT~_2D^4@=}copOT4lXfsgqeTq zX?1ciL=ArE9g?9$1)?#&;x2>stRv~ekymKoGM!*!s(Ww3R+)j#V)@1Ooy7f((4)K^ zMWxM>ALQG!r&mY_RhRK<IPx~r?g*+@v=sF$$B*iuop9VlalmI&Ms&HfvysDX*9UW0 zgUv=9kTGnHZ*9530tpNxqe;($^jGI6{G4r_U~2E?x`!MLc;<KV{sUbkpr{Ip83i!N z$0h!>Em3T4Omo$++WMVUT$fJXd%6YARO*vIHHE(wTA#gv%sdYza_9;{RJ7Gl7y8l* zP6k+xlYiBJR}cvb(W!sMXY}q4|4TV)b@`1ebz)V%ikBB4r!0&!NprspDA0Y7c_=qR z?wvBp9xwhni$E=3{56h&(}#E4CzRKF$LyWVt%Ie`#2xg}bXN`I>Jm5N!7$$J-SW_{ z#KVQ9#hK}2IM!^&`8UCyO!rErT=)d+UF0-swj_Dhekx|3CCGOGVQB1FCw-C5^5)w% z$53;J9{bzrk}owp(}^m`cUM)B+pEkTx{C$RfV*oQYi~5(-;>qp>t|qJGZ+5__SZ@? z<Syr9S~$BaZv~}F1I6{>*YD`kLcWY%oK$#uslpQ@C>kujOs9%`7kYcfK5QCV<!-CU z`3|<|bRO{o8G%dj2+8C+F$nM;HAWx!xi9q$fVt&D;KtYAzsjCd&w&3^l14)L<R<Pj nONp{B)4#pj|F2=G>xA@4Yi-#*+s04;d}*lasJy*)=h1%w%`uR1 literal 15709 zcmeHucT`i|w_plQI-ep)kq8K)6p`MeC`GE$1f+-%K$=LC9z_K~A%fCN6a=J73sNH> zy$aHs^bXPjA%x5geBW>0TQh6^m^Cx&&6`PbPjXM$=bYX5z9+Bsb=4VYIcPy35QC=1 z&AT8F1rh{;ey4!~HGZ$R!a*P~oxZl=E#MXek_UkhAbEL^JW!%Q2m}ZLlo+5Es3KRB zUkG`5lsp0<j{r)HJPIX`8by$Y0aYNN4QN2fqsZ;#7w`jvK%o#Qpd3YDFbE7#l2Gy> z6aWPQLLGMnn#o{}zfdR)3N?ztU{DyKB%ww}QKKXb0)#=xV^F{c0W<?`WJt$f7|bZ} z#*6|b2}2_F_4SRS<VR76Q4H`wkz0T^0LJmx=qL&31r(zs5(xwX;F2&X(kSr39M=H= z$Sq$V$rl31IQ3Y=)B^<K4kcgUsJTr$5C{g+ym{U5Y4X~*|HIR!iSe6%#lMw`m(1hV zXiC|n82Ttt5`$n9@5=1Fq5igYNa?|uQH@DbOopz7o>9%kB`(bkA#N3HFv#?-MV?=F zRWv1tBKpO7Fldhr3}L4KfBG_8LnO~y8ZiYbEGf>;Z*Qce1`)FOBuYc|CMy{PIJ<vV z?WQVf38$xTsL0jobxWESrX>0(-*<C1b6b|Y*fqZp)j6ty=dsGCE>~>v5(t`B4#9DO z&GKpWiLKeOMp%%AvR>qPs%7ZZ=XT^F)RxQel-W$6UzTGGsNb!!4`hU$Qm4>32aGs) zs=Qwj;83iIbe+r)yRQP@-s==rBvc+qeeQ(3=eJukuI-L?++sozGpp$J%aljCWFQ$x zP`)u`cAF0I_3kNsoRGN!e0y;1vZ5Ilo<x<MT>D|8#5NI_6}uz~HPn0hkd_7ofs~qY zqi4GKs+ja^i>2fVUPa#&czoDmK94~S^X4q<6>bd#ule<rUPpR6n&~c8Z(ar8g(Hn~ zJq!x`wMU(3bdzIqO&@+Q7c}M{_|1*JCHKxrl!3s5UiZ6r+_4?%X%@^;lK+YC11Qjm zRgfpHjIB)v@;+)IQA_~7!tfGQ#*FUYdU@nC^T_dPS_gHoGv(s)+hK<yruW_9a|_El z2faW0^mao!`?FRTTHg(~EXS8g$P}@~R&5K1qzl^5^-6Sx;<e;Onfj<l+x30;M;nSE zwv7dN<v467raQ8&+)>AXB>TSo_gutIw_v}<5V*z1w`RF|X<3NH-p7RS68AVUA}APH zxg8j-;+0B7#}_+aj!MKPuKzIU4%pvvl7NqYycq_{j};3Ovog_ojqgxC(Bfl|*?qSa z(xgt<#~ie}@1nWUqke)Vj{}@~!|QFN57xVRA{K~uT{s2Or#%w_rh=_%gFVhgtM&FW z>Q6j(j$YgQQm)Zg?klJbEN-^lT1uU9!jy0A47$wTXTfLK_oF)U1wNH}k!|I1kQ6VU z|K+OF*z7dlKdp?YtM6%80F+%^@6Rw(?3|3un)~$Nm%_`us36?WBiFHjYHpan`?@RD zthu$)%4{#Zq<Je}RigN<od%btmIB<En75ZO%$KYpK&inMx++L5*lFTV;XoX&@r$jX z*5L3vi%viIsUDoKo)Q09>9kugL@jEi=-%#VI0e9$G(CCu&TKKwUr~UsL5G^B(}xA` zm=zqvBIl|CIF>G}%;TDI-zw-^`5c!hvgPG%YxJC6l(=eu|7!kNp)aLAaskd*Vjf>V zK$imL@7mKWez6;@y7ytcPngj^^sfs5H?p8tqZ+0snSwC5u35Ud7U!Jcu2hBMa_x?s zqq%QE-VY}q)uzjgABgG7IIsO$UxgIgib)AxS;+m9a%)V{T0~WeZ}|MZhaQC-ene$_ z%#jpvG)1WiC%GG?x_Mfn*Q9&J&Vat>)1D%%dDvnliPBZ!V<X;@VsW@I0&f-WsIq^L zQ6PB5?sVE)uL|*?A%$aP7jM0pu#0$Qs+=`!-}WdZ@Y^L4%AQA#KvQY)ms3Tt%1rN_ z=!@WDOS3b@eldP-(YqO`@0^*OjgXnfX9SqAq@p1YQ3?(A&@WQzTfMd+9`vZ0)q>ql zNEWDdJMb>s=l!bP0bHA-|8)Mae(ly*pGz#f@LX1Ko67mZt*8!n|D`;P1EN1`%#wC> z;a+=xN4PHT{Xh<`SPG4g<B4R<mnnxBifFItWUXsps4>P!wG@k?anPw5YnMK$raBRL zK}l7w0^QgE@(13PM|jaW*&MvA9l$4sSNR9+=g`x#Zn$offrXli-}74fWj=MvUfG;5 zf0p*t-h*l}I{p09Xp^^T_mXtSPqx+;cpBK5wOA2(qMrM`D@ERPsFl_A1mzW>+68bK z)Uf(x*?>Wyx1V6G_+7j#H;(b*4GM>{E!FqL1ULWBY4Ltb&VfO>s$X#ST8#QW)V3=j z7&YX)NwD92mE6rqXZy}u?5()(#*{7R?N)4)bdeeE4z6|sB|rYzPc`IM@&@j(R6T<m z-StBzbR1tMdBQ~a3zv=W2;c=XS<wdu2E>vgctoz!4P<0h$hr!ZzyHxE<$HIjvm-T} zidfZpiwEv}Z7g5FEynt+E>dW4gbwKE4nC!5dEmXL<3ZG00C_F=3&I;mcPX<u>gK<4 zb}yZ5WLfonpyJUcKWR4a9D1u{jt#x;3zyNGh)o;l?&K@;LN41m(t#hPQJ2Q2jW&p! zUj<-OzXY8ssd7uKf%13mtpU<@`vpzUqyA6_L@?KKO{iA+sR0`O4O-n5cFiVw;mIu_ zT`A>*qlQT{0@4pUi#avmA+S?_pa0LdMAp!?R&!SLmf)5^d`)x1!_&@oNa;z6(+h-3 zGHoB`<(IRZAOm;d8XdyxuT;D`H_UMXvAf?3%C8+OE>j)6e7Ck+N`b3?;*^NUVIZHQ zDZ%V($1W-0-7m4nH2QKBzJfc;po*^b)TI){GXvx-zSb2fe|oaywAuONbsHgbL<F{% za-gL<-~McYb^~^t)^ew|VcgP_b}1lVu2<#W0_F-I3%jfi=ToE}ZVAd#WV?4%#Jo>E zojIUHj}?ZG%F&B;?|DIgCG4wNE;szy(&xPiSQm(4%8Y;YV(LrdfV=rM(oPgD6RnDz zfj+pRk~5NeITc@Yf0va{<VAUt>L(?lV~vr@g1a#}dydt`sp7ieVzKLAbuR=MsVw{P zPWK*5xhQx!VZ(_!TWJ%g<}JP%TBG`!8PH~yU2Q4wU89V`9KoIYoIPx4^|Z4l*w}?y zWkO{<=^7@@vOVoxjj#KrD(-r>%BT6WyFME$@63w-?7hkO?9N44*6FppUxHmo-)>ob z*|zZ^jj1Cw(+J#FsPMHw?ULG>i`U!d+~{c?6TQ}D5Fqb+Ag_7C2tc31JfZ`@v?sfT z8m>~bDFX&OZ*7G>zr_0G#ZP`X_k~2&DUSgky~VDwx6S?O)5kmQ>QCN{IS^BG>3-Jr zEafv>`UsnVaByG0L9skMu*BLFDL-?idv6z7>Nm~gA6!LNBmLmZ%EH5fS?-KP!-KCo zA}mIp9V$sa<tSyunp>m8YJMm8hrw1+I+SAc*$eRI@jb_j+e3-!jaU<k#nK@6iW++c z-<?rE%!pg1-)(?9yM-Uqq7)|w8BkX@aj%UgKe%0DA`7;ZlZko_)3-9Wo`dCrWnF_B zt(&IrR|A(79Cm{i;tp%9`)kV7#8%o{Vgb9OsU-;C+Iv1;`>v@eF_RVSXOuE^7aL6M zsrn*io-bpeba913Bb8DY98KouXn`Qh&Yqd&NV*gLD1rQ{pjNNp_8_PR<#tE)^AWXf z2GMnGgloxfC%uSVmY}aH2x@Wl_WJcLZuzjpw`XkEP&v!(=lI*7+?rZ^@N_|(h)vRl zL6Dx)!#69AW~}J>w^|-P8$4_!-x*Q6nYmfE`JmS&-$mfl0agm|-XCHG#jV=*Pq|_4 zWX%kEe&PS=>wC@K9yXNY8W^&!1fhVj|1Y~{MedyTyZy}K0z7qROBKm12ALJoJSzVS z^5Q8AOpk(Qhzq=R6N&8nZ*Cka+GV0*_<i?xTy|SJW#v2rV(=@ob=@l}fr$*(vHZ=E z4PQjgwYmwmrWe-FENRp};qI8Dlkn)O74_$ra5>MUWO*>_Ih)eVFA14_4HDV*y)Pn> z9@qF#fvKlc*1y;r*)~-mmXc>PQN66VRe(1Xf{(|U@M$0i%0nYQyanwhVcmqK8f~gp zKp&iVm%+EM{M?3`vZ6BR)%M;U<ST%e1Gh4^mzCg1MHX}rLX%yoN|)sAqg+5+3XC|{ z!=!(3I_^T|opTADSy*K;`?swfeR>g%E+erMr*zXiFJTpBR_2|UZgQdVyKxZ_5ln-k zB)R-3(C)Q}zLF;e_D-t9(-kuyBL(;l^u2CTgW5g$JB_c54<d&rJ1_>~Z7~z?(pW2& zYO6VvAhR~*5&iv~PK~=u&1+0Z&~DM$td7#5lA;-qPMabH4XW=lN-E6J@{MWD<(S$S z#YQ8SO0n*E(_MAQtaV&O|JwF^rpJ>%uDcOq%xLAl`Pl22?t0;C!_gjudgTBKQowue zE_~TS{xYbu1gfGpVeA%=L?jp(z1$g(pwa+WD#$=Nlv<-&?Zgs;gOY<pJD?sVDf?F^ zO+??!PUGGVe>yay&c?gqC1py)oq`TWs$#Wbs@V;k-Uuq`#TvgAFn+B4CX=G2j*%_b z)SG^OQF8B|to2tp$ghT-Ou3T2&p(Az5yQ3TM(JjCyz=twi63e8cU9WzvJM63x`u-l zzj&v=rz>Da`<b}nY-6HHgi5X__=(WQOJ!=s0h{UAlzaZpc|KPx2iWKRz?V&YGV@V1 zdMOvj`^EfSggC(f`g|fj3{$b!l%4;^C8)a)lNSQo)nI!$P%Vl%-^+8@@Ve$^kir+X zJHB;7P+KL5U^jnoVd7n3^f+iZG&(Xuko1u&CODt*a*Y`cpDA{qC;WQpq)XAFYbxMi zIXA8tiHAKpm;<a*B+t|wzPoSgG>omvJTEh4tkg%#`8oyopsMim#t0Exc~7v-Sh$1Z zjhtpno@)j+3tHmS#YK3xSMVO3I7=N=Y}ZxYd#K#*(`NN3|G6i`HkH`nJZHh${I)nX z;rb*ZUwp$;t^jj7iEsFv;llW}Ky%$10n>QP*oXJm2bS;|x-kO<LWH^g-=|O!DU{h& z46wpFR|E+<JD&Cd{Ai=8lVl>(?p=m$5*9nXBFXMcS+;+D^YGw<!AeR_fAp5m#3_9x zwZ@SI)3#hy-0ozDmHgimb+rc>qe8_>%B5$vi~V>mz&mFw*5XWJw2}8$h2g!=UQC40 zP2g1E3cdL55nBC<GjmMwc7(p(y~_~W8oQ%5zYV8hY9|KU);nLPAL^%FyDv7}7&XG@ z=t3y<DUeY%EC`*LCwcCCQohwT`y<b2yjJrE$m`QY0KPm%_vIcHS%vrsn?sAe`?$_3 z+*X?;Rs{E#(xALb1r=`F5v3z!$_76km_6Q`3$?MbCLVN6j_?h00~lJ~d}8Mv%ySkh zmO}ebY!&>dI^gabYVebycAc+Xg%LVerRwui-xH8+cBT6(8Dr|BK3vKh;Y7O5%hqdK zB1e_H@a=ZCIdFMD_|Y3%AN>@clB|}*Q&)U$h~=?<-O?Ca{QSNfaUd^NSg8tN!nG(d ztm^tWDa0%sw0qC{Ooth!#5uW8meGnb+pjqfG61PCMlLrHBf-&B{k}5(;kTWrvX!Bi z6s|bFcYUSFl7Q<>TczH;bizKx<1cYtlpgVoo3O^)6xq$a+sJVBWvpeaeO`ptkoN#` ziy=8wua>mwCYV$R_L|6-x-}=8$BK3pe%autWNtmzZa$dnN_e~x*~pGQG`S{E+^pXh zQaSBDiaiVYW#5|6(-{bVS(P@yuVmgb9tc-bK*Ulxn5AI%T~a{#L)5=~%eO+6bBFE< zD=1tcV7}AzsCif1Gc8XSD$g%hqJjKs&f^`TOZO7FSK(}TtLW2DpEu}*OYvpVWleXk zI#GVQ$7X&Wjnj~(?hll4M{7xnRbRqIzIHro39C*9;fI%O?A9za!mHSv&w-cwgQWtB z9(P7>DWYv2n6jXcwvjm!ezD2ahJp>rKHucwoj?GSLvWpwEUY3l%J*6&Uo$sZH?GXO z=aHL7*rFu>*!L?+w6aJ}OHEC+2pDT6%F^g#SA*d8^+aU!>{8(_z5}7I>7`rr4a}Ev z%3?iKsN2diP+*5Y_{mXPwCPh5ifr-dVYISY$a1y0_?t4HYl&lTI)q*fo2m?F>u!7P z;1`On@|k5h(u#?(z}WoD?@6(sFCMIi-LpV^5W5p|AUAi>s<Uxu&+Kc)X46}0W9n?F z=>FV@6-$K;j00m(nfVIGw}!2`&ZQFjTZEdbV<-dw3NzYHbcOIya{ZJASG_21dO(J) z(=D!-6E>JTl?2Z5la+5T_cG?9bc(dCP%WzDs3p2KUgh?#`Q;NKRBouyXWtp#rM$S_ z&epGe0q)dinm2DHs=PDqg5aZYsJMbR7w@QlIR0p1`K@VX`{>~gb#^6>{%-no5WN3q zRud6v2F}6W;+<@+TD}_K#P8Pku5^R?m!HhT-l5xOBEb<^yA{0K+s$v608Xtj9q{#y z1XT=;+j#j{2xRR?J>7Ye((^7SuIqJ!S`S8U;tWR_4b+fWhzOKx7}!u(L*B^IqtA)T zczJkNILrS=!&whxaftY2N^0V6e}1s+DSh~ScKoneg%&BIDDp+98Kn(ni`5TsqLKen zY|!XyLC6_Ypqz2pVitA}o(rGqEhq6Z_GBpEc4RDnto|b`Ahy89>*!UlNX0of!i@%h z{t1wjX!xu**Sm`LNRF~vy@!=+=I8So7pkW2gv-F+_7UPHQNl}Ra%UhE&XFLIAE10L z1>mPBd0h9>#6>4L2!%tKBs^0Qx3pP6K+-UyFLZ$th%s2gJ~hElxjfyPf~JSr1(|o{ z**sP@SmH7mB6*V?=5YnRJ?&4IlO!jb`sF$j#Bhh|QjAeHy}oZ;h!+bCu38Pw=_GZE zs{o_jc_6dTKwu6UR2YczXC-k{I=<@l#q_S4s#zYd^9gA@ugj0>G0ZR)Fs%&%e7Vq! zn;7&KX!%m;8;I#Ix^b}=)Y)yt6}Y!>@T*}i&c>4k4a1y=t>E(3=+vrImKAL#$E1GP z73^J41|M7`rR5$eUxk#iVYty-EB+mON1oWPwY%wEd~-5ewo#9p-;Re}gYWv>GMik{ zLB4Vu1?SWnef3w(UXPNG`n8uVhPB`@XM2e3AZ{^ESXyCaf-zX4wGzdpFcIpO1CBYI z&!}hcufQJ%w-1gA?VAxc^!mG233$H`Ay0M_K}#*zq4}41(P-S>1)VCb9SiSxN5cRf z9Tu24*LL@O!ko;$VWL%i-`L&a+TL!z_Ea7b-{KiIruyqIz{RdF9gfU`+y%hB4+6`q z{IRch8BA_Pm~pmiK@7*KD!uL!ib0)u3|X2UGM;<tTB+JdZ^3%daFLMA#3@u_=^4^g z+53>DJ^K0JB(o)1OJO>c7w5se*ppkx9B!39U8I?c+14x~<*Uv+>g;M3YVh5d&-Hnk z@i7i&S}tYQ3oAF~<6>O05*oA{gV^QZ!{9IF2!%XCCNZ<K>N$@X@n^K454M<f^e=y8 zhoCHRl^G@_0Pi<8a4O2j)Qy-cHF96^hZ;`mcYUTDrR@o*r|l`Y$&PLsd|=CyNu5T6 z;<%y^GZ6j)-``R-yX<!D9n^N*vb@H-_(v?n_Mkx~ZC&F9_!`gWhItj9Lj`cJ4R_J{ zx?IBi1xL}}K2|}O*4YQyVE#N`%LM&DtWmTahBi?R75rd_m9YHzB~PKqg0m=qBdblH zwH%p^qkDyaEb$>)3ydA+<HVW<YUhB&*D!TP?AnWo+elYA2ERCfZr+a@*E{_o8CmDh z>Q<cKw(`0hRu00I*f`3Tpj1^P#{JByN1*f-Z&({BK~E=LCe6Z)RtH%vVgUuZw%OI} zA0P!MN&Dq<1Y~S-SoO>{vV&yTEemz<nWopTd_)SIF^~w}z|~Aqw2bx!!soLJb40#6 zdYMgyr}PvwGt(xeogyl`AIh`JhD*Yec;ORy8_3mU{bZ5R(78{px9YfZ@}RcdJ8fdQ zj@(1{2VV_7w^Oy>>vm-UL}km{Am#F<Anr9u-#^&!#9tAIYnlr1M)P={__OhR32ALI z_kvSwOMpa&gzP}-<9!&M7cwg{`rvTKU{bSvI4VL^XG`ZR9{+7ZJ%yM(v>jb@%S&Kq z(e5CwYESga#X0W4gLUeiA`caGR3`ykbX4L*p>Y#g{rRP@1CN=TcrKe=9Aa&}*$%Mo z>!kdl`z2}1Ukx%nVjAQx=Wc{KSbb^23`LS<dJDlA$Qn`nbl=ZRY!i=XK}-SO-j<<B zZddpVZj-84_WkdkW~J0)OI^2}^ZQGKe+AiETHe({dWV5t)1b;%hX^{A=eGaYO?I!a zrnj>#eIou@b#ninS9|}cYfNXo)qG{haFdeNel3YUzvti+oqx%r#&Vm|t{{H6!gb_L zik75?&wqiyf3d*aC}<eTI>?s~{uoYf;RHX2Liho^(=c-#FI5fs8wt$HjDGe%TfSn2 zNpX~%{YnN0kz|Jb{0hmChP^eVyGNe+L<j!IE&+RUc+lS1*ciG}c)su=9Qo=V)N@zh zixP41;0f7SNWjaxV=_a0T;1Tudf!1>`lp<Hr;;>@z2=D@HMxs8d{VdfcQp`vXou|l zwvQ`^0btmnk~$+5;+pc_zI5bHSApj~n!OXh6EC*%#ic(Wo0$j5-u{#>T<p%!HQ<&^ zqmxRVuXhO93Q5*Z3@t8dP|k>}@CeN;X+(L?$98jOz}UP2SDwqFJg`-IoP^6Nxm$V$ zz&)TDJh+rax|X8Yn)L7qVY=#5r<l>aZ6FclDDya*H<pz(U~;!}=*Gh_-JZpc-SDR; zw(twSzY)K*v^3nP9z}2`!><O9&>WMKOw^lPu=TJ-MOc&^r8DmU$X)$r8W`W{^xZre zJRKPp1l>xRL}p!r{@`X&qMlW12CIlug(>hJFt+#_Lz7;M!^c>D`oJS4IED;gkOxda zpCtYK-o#6fA~3Z6RhRRT8D{N4;cy+919p*L0jsl+NBc4TvvFXw|H<e#<k7XzC#n74 z0VBlhb909qwZ}z$c=H^2eR8l#Jj2s)3G#Gq@Kg`ZKdg?(v%rl#TzUK45d7b5>4aNv za-i|}i1dx4`x}R*K|*T4lU6c%teW!EttcGwfla!6HwVHtW9r}STGwcL%%EGzlgL7L zsI6$D>{I_h;>2NseJChj3N|Un_%vJ`-uI-lc`Qj;3`k-+!BZu;{;)nk<|*(dVi6*| zaDbL>ub>mazPXdOl)1<g_;$K|x0(fCc2n0w4sf6b52+3t&%;X8{dOWj`7*GyVFqVd zJ*cdf^<gYOlQIjsjA~ZA{Fx5f9XYf572i!w(nSuOLlLT}r2hg8xG!8UIG?1{+NH@4 z&!wIfFL|c(gB`u9?NBANajM4;x)ne8UEmWvs^X#(S+`@kQUL*-rth%{!UxVMhi&gY zgp~Thy8vuyXMjh@JoS%MpUC!qwvt{5zRd(yQ&j`RT9vk^JZ84F8T62sEW6JrFYS8L zFz^CDFHkzT<HyciI;TX;P?6UGB=l-FNaQTwGW&*f1@)g#qXMLe{T}kHSIGI)z=*Kx z3?LBaD)}sc5%)=(CGxJ%!c5+EYByCWvQDHrhrZR1zJu<Ekw-cpMJM@R{#3|kDF*z= z24<)y{?ibs%I|azoIKYz5bKI^BWCc>E1K(3q!HP#e8q~+wQ0{)W?4ieEAE@R=h2co zW`O4GZ)7D|b~e+XMv#&S5$khi$dS;R-sba^vdrW?HqfFTGc=Voee(olya5G~gpt*a zJ92)|N>o%-`98t9j=X~35J{4X0Q=<8cACuSwuezl>!MdE)5#`Xt!AlfYE$^rCkfcS zwe5_h@0-qQ<R)VzVkU!DKbnhByDMB3xw<GBXK`P}Z%+CN1&uy{u<?v3cBOVq&H4nv z>cu<mu5vwrO5rNZQ426*9U3C3nHLizFv0dfJI32pJ34tF3ouF#G{A{ijEP@w{{^f8 zbLZ~EHHHGyX&mBYw^CwNe`;w|{XVWF0WhH8X!S@CnD*5f^gJeJ#W;p2oiaY?{2UO@ z@^cK%&Klrr{!zJ}@q9L^%~OIYBeIjm$E09Iudb$LxfK=`V&hLI1d4^otohkm4fqj8 zcH@-+3823WH<iD9v}coo5L5X(y#DFp5`IF4Mwh@-gMAF5R0QWx;oP5E&F}c&$mh=} z9g5<E@l!iHI|K$Si*wM#y|^bwPk6|9x{t&lg1p>QGgnuq)79I_;l~8X<plul#9qES zi*{zxUm|q6sjHBlY)+Z%#gS?972?^a=r@OdspvCk_e6A?GlsQ%|M58>n7PDmh%_S( z@0fkX6AonKM~N)}OdEahH9=-&{AT5J(OT(Oh@|)&etk!hkmI`^_N@t7JumayO#?jA z%T^Z$PW(LFT3*xfnSG4K{VmwH%l-Qx3Szr{b0ZLcYsRH`<X*X<q~lCv7@$!ks-7{> z1CNLH&+kvWaLDZa_T~b#no|(;2td2!Idgh_KKu63SQ=yC00B6O^DeSO*P%Jx=r72u z61vk~`M0e;c%)1EUJX<BM7pQMd~BW*eT%&}loQy3wxF8*AZKmSDU?um$H-=fGFjOj z&nE;QW?(6Q!fUfUwV{0U(TsB1zixmN)xAn3O%Bt1;z{)~=>;d+(pn$v=l*Nwhev47 z;qqbQH%5J&QKzdQI~j#2NU4SC%Qg^qfEoUfEVE%U@G?ABZax$QmS0yzDw2ib55&{Q zeRFEXX5HuFArPX$8+sr+c=y_s{n6Jeu1Wc1h474WG0=DQk(NmlfqeUbvSsYu>hHA9 zqAMOERU0M}Ze%kH@C~p(vAz#!UE`9!$n&Ei?<a2vGodO1oaoBccWxdl9sSDQhd9C+ z@NJXOLrk5#iRaV%gXHK^l~&)2FKz2^uCtJm53UQ{N*Mo6#Y^8ajgtd!aiRuSsSX*0 z;N~L~+ux`IeP#iYTLT=f@G&YEq$4wQs%G<oB$?X`kqFHo#!shEcw;frD`!6slatzx z@b<<0Q$2@btq4KhF6mJkfNfu0r_A;RIi+ifOCN?G^Qtkj*b80%iY<L2IrS)llnb~M z53Ipv!mg9?D^u!vD$9{NbmXmy!W+n*5!qk<rv%jLVQ63GM#wlbS<C?T5D65Yk_He8 zC3~jF)c95<O571RS5wWn*U3(n>1@!jYg4OM3d=h(;;o^j@vjce=*cT~MfMuO)=#DQ zTz7$!y-j)<c+$k3hkWEwW1!DYaEePC&;M3>uE@*_*aQ?XD-~eh%PRQJ5s+J=*$f&F z2OzN*D6<23dDZK}|ET~|JN)p4-(vekl_Bl~Zbw6Qrn7Og!ehQY0BrFL5W|1<gZ`~C zB%2N~wrD1>t~&p*jmY*;Eq+{n5x^rAgg=T43^@aISrQn+%WBpVHm9fcmeTZwDXvta zPn=@_A&oZDx~Z%c2?DJW{hN+tqXQ7YovBzey813xiogk>1aP}qj&Hwlt4~mtfgL-{ zzF*4#No_o9;bzJGdk1I94*ju}IvSZ+lK=$O?w`#7VjLM@bVaFLQ1eNi{0-?7kgiRd z*ZiE0q)Cd56%c@8tRb|h;ni!ATM}rMFHr`7<dO|c<J`AO$jqJZM*t}rzeC;&ES6_p zXG(k3!32hQ{(Fiy(Dhh&6A6m5J~lw-=3{{gqDH$3Qm?)ct@?YzRA<q9b0RIZDK8Ff z3?UTRfWgRg3}ig=O{QwOA6xf2?B9^Uw(CVuLcwADig+U1E5{Sobcl}UjGhBuv%kgT zo%V^WF98&Ker{gf6N3C;XwCVDo&bTrLG@W+>(qu`e>2Mo-2iepKi~EIhk=CP2*Dk9 zR<w}9$M%25UZ-@3on3$>f)dQ3?(E9{;wVF8M}<myxd40{%by%}?;p5;h<Cb$F5G=n zO!o-d8()UBy9aI?ct(5wjoH7t2*V>9*El_t4i}fy$BP^<0F<hubnyR|#a-1T6Yo0Z zBC&4NrG@}J0CI~aER$U?V7-m6!^|HO6dmOs2UwA5cNdBA-fR>mJV{IM8=F~0C63D7 zI<bX-1el*f$;GP_%glF_zpbc|IDs%)c~E~8jvtd56iXC5p2%U-H<|13Y0VU;*52J@ zxl|LKV{Jp0)=6n^Zh{L+vnu+&50C&Q%jmCf%pstD3w=)1=o>0&>1<Gq>?6NvR@jn* z^1p%;K+R+9dcV9K7MU&ePXY*ILyy9Hr>WyU=am;)6y}rXWrw~G#6I{}e){LqB}FjA z5OCZ*WU-Dry=x3)YtIfIIgqjL=w73E+jYM%j6AN6a&i4&aIKnjxIBFbm{Y)JHUnv2 zptA#*_Q1tj3P1}v&<B*cEZOn*g`fAJ9lDuEjue!kTS<e+a#?a<LZq5iz=HMe9ETQ+ zE&h?vpnoEW?K~>!(+`o~_&#kQx$GssexV@`sG**fPJj0H7CUT@Gy39lBh?G=@AFir z(RbX}4!#{G$%QsAoH-AfRXO(2t*?Tk_w(t1z-R+p(dl6Q@ShOIT@9MV0UVyO66Fs{ zvObPvx=J{PI)H4Q9dPFXpYY)NbJ~tP`2sRvLFTtm7dgDb0#?}NyGaJv?D27|)nRW9 z-K26LYrB&W@qb(bQ6<LR?h3#G%rIZFX#ipfFYJ3DP?1A3Amo4ZHG%BPN$yn#HE#iG z0r9|7D?dR1HnTlay0%;i7<ZEc=5cyaN4g#ud|?3ene#zX9t7YB)jY7-*uQMSg%Oa; zD*(d(ErI@jzIF2c|J22QCw1`zMPrOr6QZM_Vc~<*K@0)QkATJwK_&mIKTS@cREfrT zBuvITlOJ#ZUTmNxl=Jmfc)yp`_TH}h)pEi+fZ=a-fD_}l0(|@q>iL1JM1eT0TaIx* zTozs;ses4CRh$X=x0Nvm5JL~~%RV>nE1ksdz(WVuH!W+j|HSs3=q9C>Zx@DvL_*>u zQsu;QKLz}pdwZbDbEnZ#CoV4_eg>%tWittZ<fH-FK?ZVAUqXQ=6rqn;!!{_*-QYn$ za^b8C^2xCG;2~S>Ij<V9Z@0&HJs_W44v`NQF97tdQAwZ3$CC_@T`}zku>5}M7M_7D z=WfVH+rb{kmV7J}<O{eSfX@Qhq5oh0C%`~u7PvQkQ|rfhvR%B1BxiQl9g**;el(rG z%|h)EM4X$Ro^IGRi5mP1&CS$0<MW)okprD8GjMR!7gZo82v;~CJ?X~!^EEl`X<o&} zI8g!Q4M#Rn0l_6<+CVn!t&V4;u18d-idtdv#52&^Q;i9%`HzcDpg;x9knI7#-`5y= zL((iJo|Bupu!cW`nm{_oQGMj!m66!HFNz4;;zvh&`U`fe&ZvK%7j<Y>eM0!a8#cZm z*arHXtB|rLvLx<gNRj*M(`Gx^Mjd&Uf`;Z|J?L|ibvo{j&!Em#5Qoj!DW#=fO{-_+ z$A<ra$hkO~nNoOK9<^)Vk*9Guh=Tlp%YDC8HcQ2lU1iRmSDyPN^*_ncs!BC6A6ZFI z>Txd2RnWn+iP6D2jF&<G5fG{e`T6;IZ@xPKL0R39Ao}zFQ-8(S%G^u=!^e0Jjp?}` z1iQewXi!-+*fEKE&2aZb-sB8eU+F@Lczx9M7cpmMByY)TQnXmS;0d7-6l!t|e;iGN zs-jV$V$r?(rti!YKMTx<C5Rpv#hxWp4>*wPyoc;JWi`ch4PM0DM2_9s7Y}<JZIhfy zBlsFr5%K3C^AvxhtPYFrU*IQfQ_Zly=j4aXiv9<hkQqq;LJu0iq4?i^A=03p1Vl1_ zdRE$vsAlf~1>Zj&#KM|13?6?cnxAP+Xo%og8Sp@0Y1N6?GNE^O9g$p}bM#R`$Da$` zy%caw4a=k?FnTpO<sNv1;CMw4rkPsCGcxFSJ6N@m!jNvIR`2fAsAlww#7rVXkMNgj zGveyUB)z|`!2MNR1}OMLQ$lf15_67zo&LHJW0-jFG+If=pA%-V7UC(jxm-~*yPmt+ zXQ9(Hp=T})=3&F1c{5?ew6-m&(<dZuZWXK}`1=lq6|)y(7;jp3CoQvvp{MkaJ>G6l zc4x?W@tXNse$W&!QOTp4X6@^^!N9ak&(iJaL_0~+D6p_P$t+sbf#jMKa=ANXI0U!2 zvSrUS>T-b9+1l}CMHAC7nl(q3+I16p2J!>93_5Q-%5>cj6teeLJ}Np4T+-{SrMlGV zE$5$?fJy6UBWgJbdTRF>>uPKF8O};YYhIH}i3RtjWd<_n*F;b5lf1=r)Vpg()az^# zF<X4xKP5jKyeDQ($7gunT6lVgQX@DKCkyXCyX@%}OsG)U4%U@`|I{|ezl%g9&M(Z^ z?4-wM>^zJ+B3V;w_$K0{;JC4bwQbSw(X8nB%>1#3oUM{N#S*rbh~OxjXo2Cvti&@! zM_xFT#U9zQq%(K@D|@C8T~9;Yuxm8Cz!!Em$gJ?I$spDD;2gceHxCoZ2a@WO#ow)E zzqO8T3+$q3F{Qu~Gl2wu*F~YojGGcVc+=B}e9`BciKQfe7<?uCclqR*2T0f4KJ-k2 zK>AQ&87b!18Y9@u<V+~cd6Sz`!bIx)dqE%dYdRH<(&GLqn!6PrxF|i&HfyrSE_Oi^ z6R%9=8aU3xXV&M@_XO$nN;=YB(;;x6HFQ<;8@&Z~2pL6GJdKhcwm@q{{!`#-?M1I! zPcG<o((2RqN$Vu?OxC1je(CQE7>B*md_*1QR5x(8^>Yg=;gu~x#brspK4e~G7Z;e= zJNI+sV=6HR7a09$cl~_9D=QP<_Jly}IjvU49)PdBn!}q^{grfvg(&Cge~ik^HO&FM zk<Uox3>W053T}&!?pgzZX_)!8z==-)3ysG3L3k@#A2!PWZscYe#A$KK%!){EoT{1Z zLrm6`()Oh48Mu#TYI{9)n-u(F%j0g6nyJL7FKnfWa-wp;X046BK7%Hv3h<GP-(=S= z@(s$)g}OC@9_ul~Kz0A|uS<#8;QqirBqc%)kQoP(he~O|+r~lrpK<ZlFdF94j!B+? z=-?+3$^+c2^pxP|(fAc=l|AArBA^8^RC5#g+vP}p$?bMCztA43qp7uIfXTjfYCw(7 z{{^Tn$pD#YWCLVnqDwIqz2!DnR+V|-f9C%}Cv7fTY!0@T6mIXWv2{f+FMLy{VXl^= zxD>dYZX?!xhz*t^1@#js#(=<Zf(s&<D^poZ99(^dQ%-Y?rdgo50Hoe027p7X9Rp_v z%1OOulbWX+FZU2tk-zhSz+vlFG(T_-l(M4ph`2PWY55_^UBPHO_|e*yW?Gvinh*-A z1OCY{x}aI0*!S4%kiZiG(y7XoiCNc$F}@fF&bdqg*7=IqXGM*Y4BVpA`M3t0)2PBT z0q2l$)sx00_LM-2j_zh(du>!lWzT{;3v3(iw1yb?(kbaKm(Su3ga0w6SVY`kuMs*j zc6pp&z}Pw2k=DExhuPcDD6|pmsUfeGrl)kGHqrKDf}#4ah%=q?S;|T3W(v<T$3vNc zgU)WZkjoSCMk%T#bw;jQpGl(7og8ADinnwd&GA-6m{2uRA1JdFakVYpM`7S=3l}F2 zo9A_55KkT!*i+z74Qq;B&kgc$hNN}OMgP`v(yy^OZR9#109w}xj-xX1exOEpa`mM9 z$~rXh;<Pdv_;bpW1uqXlX7#$`o=WO<9gd-$>DKd#u$AhD>9$`3yV=Rq$5WX5o=2V1 z+tXfLrdW0s?9uV{xY_lhHVUAnru~h$D~j{li|t$5i}PjHj+v3$arP_MoBNa8MTW?P za#?e#OEhWFYs2cPyRnrEHV$x@G)!ud35(^Z^(wY0%8YrLdtaiMabo5OK<7Zs-$%cO z6Mi;zOx&@^r~f>aQ+xT10`CMcO2Lq_r7JSb|HdS6Zrj|%%}pnVyWKH7w&3@@$;4*> zH$GVDxFcR7<-Io{UzX($MGrX1Qg{P+a<;&AhP;%&vJrRjm77`(@N@>VvHfi{trSk= zG@aBP0(+{kz*fJH<7Y~hnYx2q6y?{h^sH^$?<@rI!h1Y?ckTx4%S<<Xqo!d#)7ee> qO!)n#KaCLaf56!P?{+BWNziN_ttU2vxsO4>OY@fQ&4L@&&;JWbd%z6< diff --git a/public/search.json b/public/search.json index a77c2b4..6ce4f11 100644 --- a/public/search.json +++ b/public/search.json @@ -11,14 +11,14 @@ "href": "07-basic_statistics.html#import-and-visualize-epidemiological-data", "title": "6 Basic statistics for spatial analysis", "section": "6.1 Import and visualize epidemiological data", - "text": "6.1 Import and visualize epidemiological data\nIn this section, we load data that reference the cases of an imaginary disease, the W fever, throughout Cambodia. Each point corresponds to the geo-localization of a case.\n\nlibrary(dplyr)\nlibrary(sf)\n\n#Import Cambodia country border\ncountry <- st_read(\"data_cambodia/cambodia.gpkg\", layer = \"country\", quiet = TRUE)\n#Import provincial administrative border of Cambodia\neducation <- st_read(\"data_cambodia/cambodia.gpkg\", layer = \"education\", quiet = TRUE)\n#Import district administrative border of Cambodia\ndistrict <- st_read(\"data_cambodia/cambodia.gpkg\", layer = \"district\", quiet = TRUE)\n\n# Import locations of cases from an imaginary disease\ncases <- st_read(\"data_cambodia/cambodia.gpkg\", layer = \"cases\", quiet = TRUE)\ncases <- subset(cases, Disease == \"W fever\")\n\nThe first step of any statistical analysis always consists on visualizing the data to check they were correctly loaded and to observe general pattern of the cases.\n\n# View the cases object\nhead(cases)\n\nSimple feature collection with 6 features and 2 fields\nGeometry type: MULTIPOINT\nDimension: XY\nBounding box: xmin: 255891 ymin: 1179092 xmax: 506647.4 ymax: 1467441\nProjected CRS: WGS 84 / UTM zone 48N\n id Disease geom\n1 0 W fever MULTIPOINT ((280036.2 12841...\n2 1 W fever MULTIPOINT ((451859.5 11790...\n3 2 W fever MULTIPOINT ((255891 1467441))\n4 5 W fever MULTIPOINT ((506647.4 12322...\n5 6 W fever MULTIPOINT ((440668 1197958))\n6 7 W fever MULTIPOINT ((481594.5 12714...\n\n# Map the cases\nlibrary(mapsf)\n\nmf_map(x = district, border = \"white\")\nmf_map(x = country,lwd = 2, col = NA, add = TRUE)\nmf_map(x = cases, lwd = .5, col = \"#990000\", pch = 20, add = TRUE)\n\n\n\n\nIn epidemiology, the true meaning of point is very questionable. If it usually gives the location of an observation, we cannot precisely tell if this observation represents an event of interest (e.g., illness, death, …) or a person at risk (e.g., a participant that may or may not experience the disease). If you can consider that the population at risk is uniformly distributed in small area (within a city for example), this is likely not the case at a country scale. Considering a ratio of event compared to a population at risk is often more informative than just considering cases. Administrative divisions of countries appear as great areal units for cases aggregation since they make available data on population count and structures. In this study, we will use the district as the areal unit of the study.\n\n# Aggregate cases over districts\ndistrict$cases <- lengths(st_intersects(district, cases))\n\nThe incidence (\\(\\frac{cases}{population}\\)) expressed per 100,000 population is commonly use to represent cases distribution related to population density but other indicators exists. As example, the standardized incidence ratios (SIRs) represent the deviation of observed and expected number of cases and is expressed as \\(SIR = \\frac{Y_i}{E_i}\\) with \\(Y_i\\), the observed number of cases and \\(E_i\\), the expected number of cases. In this study, we computed the expected number of cases in each district by assuming infections are homogeneously distributed across Cambodia, i.e., the incidence is the same in each district. The SIR therefore represents the deviation of incidence compared to the average incidence across Cambodia.\n\n# Compute incidence in each district (per 100 000 population)\ndistrict$incidence <- district$cases/district$T_POP * 100000\n\n# Compute the global risk\nrate <- sum(district$cases)/sum(district$T_POP)\n\n# Compute expected number of cases \ndistrict$expected <- district$T_POP * rate\n\n# Compute SIR\ndistrict$SIR <- district$cases / district$expected\n\n\npar(mfrow = c(1, 3))\n# Plot number of cases using proportional symbol \nmf_map(x = district) \nmf_map(\n x = district, \n var = \"cases\",\n val_max = 50,\n type = \"prop\",\n col = \"#990000\", \n leg_title = \"Cases\")\nmf_layout(title = \"Number of cases of W Fever\")\n\n# Plot incidence \nmf_map(x = district,\n var = \"incidence\",\n type = \"choro\",\n pal = \"Reds 3\",\n breaks = exp(mf_get_breaks(log(district$incidence+1), breaks = \"pretty\"))-1,\n leg_title = \"Incidence \\n(per 100 000)\")\nmf_layout(title = \"Incidence of W Fever\")\n\n# Plot SIRs\n# create breaks and associated color palette\nbreak_SIR <- c(0,exp(mf_get_breaks(log(district$SIR), nbreaks = 8, breaks = \"pretty\")))\ncol_pal <- c(\"#273871\", \"#3267AD\", \"#6496C8\", \"#9BBFDD\", \"#CDE3F0\", \"#FFCEBC\", \"#FF967E\", \"#F64D41\", \"#B90E36\")\n\nmf_map(x = district,\n var = \"SIR\",\n type = \"choro\",\n breaks = break_SIR, \n pal = col_pal, \n cex = 2,\n leg_title = \"SIR\")\nmf_layout(title = \"Standardized Incidence Ratio of W Fever\")\n\n\n\n\nThese maps illustrate the spatial heterogeneity of the cases. The incidence shows how the disease vary from one district to another while the SIR highlight districts that have:\n\nhigher risk than average (SIR > 1) when standardized for population\nlower risk than average (SIR < 1) when standardized for population\naverage risk (SIR ~ 1) when standardized for population\n\n\n\n\n\n\n\nTo go further …\n\n\n\nIn this example, we standardized the cases distribution for population count. This simple standardization assumes that the risk of contracting the disease is similar for each person. However, assumption does not hold for all diseases and for all observed events since confounding effects can create nuisance into the interpretations (e.g., the number of childhood illness and death outcomes in a district are usually related to the age pyramid) and you should keep in mind that other standardization can be performed based on variables known to have an effect but that you don’t want to analyze (e.g., sex ratio, occupations, age pyramid).\nIn addition, one can wonder what does an SIR ~ 1 means, i.e., what is the threshold to decide whether the SIR is greater, lower or equivalent to 1. The significant of the SIR can be tested globally (to determine whether or not the incidence is homogeneously distributed) and locally in each district (to determine Which district have an SIR different than 1). We won’t perform these analyses in this tutorial but you can look at the function ?achisq.test() (from Dcluster package (Gómez-Rubio et al. 2015)) and ?probmap() (from spdep package (R. Bivand et al. 2015)) to compute these statistics." + "text": "6.1 Import and visualize epidemiological data\nIn this section, we load data that reference the cases of an imaginary disease, the W fever, throughout Cambodia. Each point corresponds to the geo-localization of a case.\n\nlibrary(dplyr)\nlibrary(sf)\n\n#Import Cambodia country border\ncountry <- st_read(\"data_cambodia/cambodia.gpkg\", layer = \"country\", quiet = TRUE)\n#Import provincial administrative border of Cambodia\neducation <- st_read(\"data_cambodia/cambodia.gpkg\", layer = \"education\", quiet = TRUE)\n#Import district administrative border of Cambodia\ndistrict <- st_read(\"data_cambodia/cambodia.gpkg\", layer = \"district\", quiet = TRUE)\n\n# Import locations of cases from an imaginary disease\ncases <- st_read(\"data_cambodia/cambodia.gpkg\", layer = \"cases\", quiet = TRUE)\ncases <- subset(cases, Disease == \"W fever\")\n\nThe first step of any statistical analysis always consists on visualizing the data to check they were correctly loaded and to observe general pattern of the cases.\n\n# View the cases object\nhead(cases)\n\nSimple feature collection with 6 features and 2 fields\nGeometry type: MULTIPOINT\nDimension: XY\nBounding box: xmin: 255891 ymin: 1179092 xmax: 506647.4 ymax: 1467441\nProjected CRS: WGS 84 / UTM zone 48N\n id Disease geom\n1 0 W fever MULTIPOINT ((280036.2 12841...\n2 1 W fever MULTIPOINT ((451859.5 11790...\n3 2 W fever MULTIPOINT ((255891 1467441))\n4 5 W fever MULTIPOINT ((506647.4 12322...\n5 6 W fever MULTIPOINT ((440668 1197958))\n6 7 W fever MULTIPOINT ((481594.5 12714...\n\n# Map the cases\nlibrary(mapsf)\n\nmf_map(x = district, border = \"white\")\nmf_map(x = country,lwd = 2, col = NA, add = TRUE)\nmf_map(x = cases, lwd = .5, col = \"#990000\", pch = 20, add = TRUE)\nmf_layout(title = \"W Fever infections in Cambodia\")\n\n\n\n\nIn epidemiology, the true meaning of point is very questionable. If it usually gives the location of an observation, we cannot precisely tell if this observation represents an event of interest (e.g., illness, death, …) or a person at risk (e.g., a participant that may or may not experience the disease). If you can consider that the population at risk is uniformly distributed in small area (within a city for example), this is likely not the case at a country scale. Considering a ratio of event compared to a population at risk is often more informative than just considering cases. Administrative divisions of countries appear as great areal units for cases aggregation since they make available data on population count and structures. In this study, we will use the district as the areal unit of the study.\n\n# Aggregate cases over districts\ndistrict$cases <- lengths(st_intersects(district, cases))\n\nThe incidence (\\(\\frac{cases}{population}\\)) expressed per 100,000 population is commonly use to represent cases distribution related to population density but other indicators exists. As example, the standardized incidence ratios (SIRs) represent the deviation of observed and expected number of cases and is expressed as \\(SIR = \\frac{Y_i}{E_i}\\) with \\(Y_i\\), the observed number of cases and \\(E_i\\), the expected number of cases. In this study, we computed the expected number of cases in each district by assuming infections are homogeneously distributed across Cambodia, i.e., the incidence is the same in each district. The SIR therefore represents the deviation of incidence compared to the average incidence across Cambodia.\n\n# Compute incidence in each district (per 100 000 population)\ndistrict$incidence <- district$cases/district$T_POP * 100000\n\n# Compute the global risk\nrate <- sum(district$cases)/sum(district$T_POP)\n\n# Compute expected number of cases \ndistrict$expected <- district$T_POP * rate\n\n# Compute SIR\ndistrict$SIR <- district$cases / district$expected\n\n\npar(mfrow = c(1, 3))\n# Plot number of cases using proportional symbol \nmf_map(x = district) \nmf_map(\n x = district, \n var = \"cases\",\n val_max = 50,\n type = \"prop\",\n col = \"#990000\", \n leg_title = \"Cases\")\nmf_layout(title = \"Number of cases of W Fever\")\n\n# Plot incidence \nmf_map(x = district,\n var = \"incidence\",\n type = \"choro\",\n pal = \"Reds 3\",\n breaks = exp(mf_get_breaks(log(district$incidence+1), breaks = \"pretty\"))-1,\n leg_title = \"Incidence \\n(per 100 000)\")\nmf_layout(title = \"Incidence of W Fever\")\n\n# Plot SIRs\n# create breaks and associated color palette\nbreak_SIR <- c(0,exp(mf_get_breaks(log(district$SIR), nbreaks = 8, breaks = \"pretty\")))\ncol_pal <- c(\"#273871\", \"#3267AD\", \"#6496C8\", \"#9BBFDD\", \"#CDE3F0\", \"#FFCEBC\", \"#FF967E\", \"#F64D41\", \"#B90E36\")\n\nmf_map(x = district,\n var = \"SIR\",\n type = \"choro\",\n breaks = break_SIR, \n pal = col_pal, \n cex = 2,\n leg_title = \"SIR\")\nmf_layout(title = \"Standardized Incidence Ratio of W Fever\")\n\n\n\n\nThese maps illustrate the spatial heterogeneity of the cases. The incidence shows how the disease vary from one district to another while the SIR highlight districts that have:\n\nhigher risk than average (SIR > 1) when standardized for population\nlower risk than average (SIR < 1) when standardized for population\naverage risk (SIR ~ 1) when standardized for population\n\n\n\n\n\n\n\nTo go further …\n\n\n\nIn this example, we standardized the cases distribution for population count. This simple standardization assumes that the risk of contracting the disease is similar for each person. However, assumption does not hold for all diseases and for all observed events since confounding effects can create nuisance into the interpretations (e.g., the number of childhood illness and death outcomes in a district are usually related to the age pyramid) and you should keep in mind that other standardization can be performed based on variables known to have an effect but that you don’t want to analyze (e.g., sex ratio, occupations, age pyramid).\nIn addition, one can wonder what does an SIR ~ 1 means, i.e., what is the threshold to decide whether the SIR is greater, lower or equivalent to 1. The significant of the SIR can be tested globally (to determine whether or not the incidence is homogeneously distributed) and locally in each district (to determine Which district have an SIR different than 1). We won’t perform these analyses in this tutorial but you can look at the function ?achisq.test() (from Dcluster package (Gómez-Rubio et al. 2015)) and ?probmap() (from spdep package (R. Bivand et al. 2015)) to compute these statistics." }, { "objectID": "07-basic_statistics.html#cluster-analysis", "href": "07-basic_statistics.html#cluster-analysis", "title": "6 Basic statistics for spatial analysis", "section": "6.2 Cluster analysis", - "text": "6.2 Cluster analysis\n\n6.2.1 General introduction\nWhy studying clusters in epidemiology? Cluster analysis help identifying unusual patterns that occurs during a given period of time. The underlying ultimate goal of such analysis is to explain the observation of such patterns. In epidemiology, we can distinguish two types of process that would explain heterogeneity in case distribution:\n\nThe 1st order effects are the spatial variations of cases distribution caused by underlying properties of environment or the population structure itself. In such process individual get infected independently from the rest of the population. Such process includes the infection through an environment at risk as, for example, air pollution, contaminated waters or soils and UV exposition. This effect assume that the observed pattern is caused by a difference in risk intensity.\nThe 2nd order effects describes process of spread, contagion and diffusion of diseases caused by interactions between individuals. This includes transmission of infectious disease by proximity, but also the transmission of non-infectious disease, for example, with the diffusion of social norms within networks. This effect assume that the observed pattern is caused by correlations or co-variations.\n\nNo statistical methods could distinguish between these competing processes since their outcome results in similar pattern of points. The cluster analysis help describing the magnitude and the location of pattern but in no way could answer the question of why such patterns occurs. It is therefore a step that help detecting cluster for description and surveillance purpose and rising hypothesis on the underlying process that will lead further investigations.\nKnowledge about the disease and its transmission process could orientate the choice of the methods of study. We presented in this brief tutorial two methods of cluster detection, the Moran’s I test that test for spatial independence (likely related to 2nd order effects) and the scan statistics that test for homogeneous distribution (likely related 1st order effects). It relies on epidemiologist to select the tools that best serve the studied question.\n\n\n\n\n\n\nStatistic tests and distributions\n\n\n\nIn statistics, problems are usually expressed by defining two hypotheses: the null hypothesis (H0), i.e., an a priori hypothesis of the studied phenomenon (e.g., the situation is a random) and the alternative hypothesis (H1), e.g., the situation is not random. The main principle is to measure how likely the observed situation belong to the ensemble of situation that are possible under the H0 hypothesis.\nIn mathematics, a probability distribution is a mathematical expression that represents what we would expect due to random chance. The choice of the probability distribution relies on the type of data you use (continuous, count, binary). In general, three distribution a used while studying disease rates, the Binomial, the Poisson and the Poisson-gamma mixture (also known as negative binomial) distributions.\nMany the statistical tests assume by default that data are normally distributed. It implies that your variable is continuous and that all data could easily be represented by two parameters, the mean and the variance, i.e., each value have the same level of certainty. If many measure can be assessed under the normality assumption, this is usually not the case in epidemiology with strictly positives rates and count values that 1) does not fit the normal distribution and 2) does not provide with the same degree of certainty since variances likely differ between district due to different population size, i.e., some district have very sparse data (with high variance) while other have adequate data (with lower variance).\n\n# dataset statistics\nm_cases <- mean(district$incidence)\nsd_cases <- sd(district$incidence)\n\nhist(district$incidence, probability = TRUE, ylim = c(0, 0.4), xlim = c(-5, 16), xlab = \"Number of cases\", ylab = \"Probability\", main = \"Histogram of observed incidence compared\\nto Normal and Poisson distributions\")\ncurve(dnorm(x, m_cases, sd_cases),col = \"blue\", lwd = 1, add = TRUE)\npoints(0:max(district$incidence), dpois(0:max(district$incidence), m_cases),type = 'b', pch = 20, col = \"red\", ylim = c(0, 0.6), lty = 2)\n\nlegend(\"topright\", legend = c(\"Normal distribution\", \"Poisson distribution\", \"Observed distribution\"), col = c(\"blue\", \"red\", \"black\"),pch = c(NA, 20, NA), lty = c(1, 2, 1))\n\n\n\n\nIn this tutorial, we used the Poisson distribution in our statistical tests.\n\n\n\n\n6.2.2 Test for spatial autocorrelation (Moran’s I test)\n\n6.2.2.1 The global Moran’s I test\nA popular test for spatial autocorrelation is the Moran’s test. This test tells us whether nearby units tend to exhibit similar incidences. It ranges from -1 to +1. A value of -1 denote that units with low rates are located near other units with high rates, while a Moran’s I value of +1 indicates a concentration of spatial units exhibiting similar rates.\n\n\n\n\n\n\nMoran’s I test\n\n\n\nThe Moran’s statistics is:\n\\[I = \\frac{N}{\\sum_{i=1}^N\\sum_{j=1}^Nw_{ij}}\\frac{\\sum_{i=1}^N\\sum_{j=1}^Nw_{ij}(Y_i-\\bar{Y})(Y_j - \\bar{Y})}{\\sum_{i=1}^N(Y_i-\\bar{Y})^2}\\] with:\n\n\\(N\\): the number of polygons,\n\\(w_{ij}\\): is a matrix of spatial weight with zeroes on the diagonal (i.e., \\(w_{ii}=0\\)). For example, if polygons are neighbors, the weight takes the value \\(1\\) otherwise it takes the value \\(0\\).\n\\(Y_i\\): the variable of interest,\n\\(\\bar{Y}\\): the mean value of \\(Y\\).\n\nUnder the Moran’s test, the statistics hypotheses are:\n\nH0: the distribution of cases is spatially independent, i.e., \\(I=0\\).\nH1: the distribution of cases is spatially autocorrelated, i.e., \\(I\\ne0\\).\n\n\n\nWe will compute the Moran’s statistics using spdep(R. Bivand et al. 2015) and Dcluster(Gómez-Rubio et al. 2015) packages. spdep package provides a collection of functions to analyze spatial correlations of polygons and works with sp objects. In this example, we use poly2nb() and nb2listw(). These functions respectively detect the neighboring polygons and assign weight corresponding to \\(1/\\#\\ of\\ neighbors\\). Dcluster package provides a set of functions for the detection of spatial clusters of disease using count data.\n\nlibrary(spdep) # Functions for creating spatial weight, spatial analysis\nlibrary(DCluster) # Package with functions for spatial cluster analysis\n\nqueen_nb <- poly2nb(district) # Neighbors according to queen case\nq_listw <- nb2listw(queen_nb, style = 'W') # row-standardized weights\n\n# Moran's I test\nm_test <- moranI.test(cases ~ offset(log(expected)), \n data = district,\n model = 'poisson',\n R = 499,\n listw = q_listw,\n n = length(district$cases), # number of regions\n S0 = Szero(q_listw)) # Global sum of weights\nprint(m_test)\n\nMoran's I test of spatial autocorrelation \n\n Type of boots.: parametric \n Model used when sampling: Poisson \n Number of simulations: 499 \n Statistic: 0.1566449 \n p-value : 0.01 \n\nplot(m_test)\n\n\n\n\nThe Moran’s statistics is here \\(I =\\) 0.16. When comparing its value to the H0 distribution (built under 499 simulations), the probability of observing such a I value under the null hypothesis, i.e. the distribution of cases is spatially independent, is \\(p_{value} =\\) 0.01. We therefore reject H0 with error risk of \\(\\alpha = 5\\%\\). The distribution of cases is therefore autocorrelated across districts in Cambodia.\n\n\n6.2.2.2 The Local Moran’s I LISA test\nThe global Moran’s test provides us a global statistical value informing whether autocorrelation occurs over the territory but does not inform on where does these correlations occurs, i.e., what is the locations of the clusters. To identify such cluster, we can decompose the Moran’s I statistic to extract local information of the level of correlation of each district and its neighbors. This is called the Local Moran’s I LISA statistic. Because the Local Moran’s I LISA statistic test each district for autocorrelation independently, concern is raised about multiple testing limitations that increase the Type I error (\\(\\alpha\\)) of the statistical tests. The use of local test should therefore be study in light of explore and describes clusters once the global test has detected autocorrelation.\n\n\n\n\n\n\nStatistical test\n\n\n\nFor each district \\(i\\), the Local Moran’s I statistics is:\n\\[I_i = \\frac{(Y_i-\\bar{Y})}{\\sum_{i=1}^N(Y_i-\\bar{Y})^2}\\sum_{j=1}^Nw_{ij}(Y_j - \\bar{Y}) \\text{ with } I = \\sum_{i=1}^NI_i/N\\]\n\n\nThe localmoran()function from the package spdep treats the variable of interest as if it was normally distributed. In some cases, this assumption could be reasonable for incidence rate, especially when the areal units of analysis have sufficiently large population count suggesting that the values have similar level of variances. Unfortunately, the local Moran’s test has not been implemented for Poisson distribution (population not large enough in some districts) in spdep package. However, Bivand et al. (R. S. Bivand et al. 2008) provided some code to manually perform the analysis using Poisson distribution and this code was further implemented in the course “Spatial Epidemiologyâ€.\n\n# Step 1 - Create the standardized deviation of observed from expected\nsd_lm <- (district$cases - district$expected) / sqrt(district$expected)\n\n# Step 2 - Create a spatially lagged version of standardized deviation of neighbors\nwsd_lm <- lag.listw(q_listw, sd_lm)\n\n# Step 3 - the local Moran's I is the product of step 1 and step 2\ndistrict$I_lm <- sd_lm * wsd_lm\n\n# Step 4 - setup parameters for simulation of the null distribution\n\n# Specify number of simulations to run\nnsim <- 499\n\n# Specify dimensions of result based on number of regions\nN <- length(district$expected)\n\n# Create a matrix of zeros to hold results, with a row for each county, and a column for each simulation\nsims <- matrix(0, ncol = nsim, nrow = N)\n\n# Step 5 - Start a for-loop to iterate over simulation columns\nfor(i in 1:nsim){\n y <- rpois(N, lambda = district$expected) # generate a random event count, given expected\n sd_lmi <- (y - district$expected) / sqrt(district$expected) # standardized local measure\n wsd_lmi <- lag.listw(q_listw, sd_lmi) # standardized spatially lagged measure\n sims[, i] <- sd_lmi * wsd_lmi # this is the I(i) statistic under this iteration of null\n}\n\n# Step 6 - For each county, test where the observed value ranks with respect to the null simulations\nxrank <- apply(cbind(district$I_lm, sims), 1, function(x) rank(x)[1])\n\n# Step 7 - Calculate the difference between observed rank and total possible (nsim)\ndiff <- nsim - xrank\ndiff <- ifelse(diff > 0, diff, 0)\n\n# Step 8 - Assuming a uniform distribution of ranks, calculate p-value for observed\n# given the null distribution generate from simulations\ndistrict$pval_lm <- punif((diff + 1) / (nsim + 1))\n\nBriefly, the process consist on 1) computing the I statistics for the observed data, 2) estimating the null distribution of the I statistics by performing random sampling into a poisson distribution and 3) comparing the observed I statistic with the null distribution to determine the probability to observe such value if the number of cases were spatially independent. For each district, we obtain a p-value based on the comparison of the observed value and the null distribution.\nA conventional way of plotting these results is to classify the districts into 5 classes based on local Moran’s I output. The classification of cluster that are significantly autocorrelated to their neighbors is performed based on a comparison of the scaled incidence in the district compared to the scaled weighted averaged incidence of it neighboring districts (computed with lag.listw()):\n\nDistricts that have higher-than-average rates in both index regions and their neighbors and showing statistically significant positive values for the local \\(I_i\\) statistic are defined as High-High (hotspot of the disease)\nDistricts that have lower-than-average rates in both index regions and their neighbors and showing statistically significant positive values for the local \\(I_i\\) statistic are defined as Low-Low (cold spot of the disease).\nDistricts that have higher-than-average rates in the index regions and lower-than-average rates in their neighbors, and showing statistically significant negative values for the local \\(I_i\\) statistic are defined as High-Low(outlier with high incidence in an area with low incidence).\nDistricts that have lower-than-average rates in the index regions and higher-than-average rates in their neighbors, and showing statistically significant negative values for the local \\(I_i\\) statistic are defined as Low-High (outlier of low incidence in area with high incidence).\nDistricts with non-significant values for the \\(I_i\\) statistic are defined as Non-significant.\n\n\n# create lagged local raw_rate - in other words the average of the queen neighbors value\n# values are scaled (centered and reduced) to be compared to average\ndistrict$lag_std <- scale(lag.listw(q_listw, var = district$incidence))\ndistrict$incidence_std <- scale(district$incidence)\n\n# extract pvalues\n# district$lm_pv <- lm_test[,5]\n\n# Classify local moran's outputs\ndistrict$lm_class <- NA\ndistrict$lm_class[district$incidence_std >=0 & district$lag_std >=0] <- 'High-High'\ndistrict$lm_class[district$incidence_std <=0 & district$lag_std <=0] <- 'Low-Low'\ndistrict$lm_class[district$incidence_std <=0 & district$lag_std >=0] <- 'Low-High'\ndistrict$lm_class[district$incidence_std >=0 & district$lag_std <=0] <- 'High-Low'\ndistrict$lm_class[district$pval_lm >= 0.05] <- 'Non-significant'\n\ndistrict$lm_class <- factor(district$lm_class, levels=c(\"High-High\", \"Low-Low\", \"High-Low\", \"Low-High\", \"Non-significant\") )\n\n# create map\nmf_map(x = district,\n var = \"lm_class\",\n type = \"typo\",\n cex = 2,\n col_na = \"white\",\n #val_order = c(\"High-High\", \"Low-Low\", \"High-Low\", \"Low-High\", \"Non-significant\") ,\n pal = c(\"#6D0026\" , \"blue\", \"white\") , # \"#FF755F\",\"#7FABD3\" ,\n leg_title = \"Clusters\")\n\nmf_layout(title = \"Cluster using Local Moran's I statistic\")\n\n\n\n\n\n\n\n6.2.3 Spatial scan statistics\nWhile Moran’s indices focus on testing for autocorrelation between neighboring polygons (under the null assumption of spatial independence), the spatial scan statistic aims at identifying an abnormal higher risk in a given region compared to the risk outside of this region (under the null assumption of homogeneous distribution). The conception of a cluster is therefore different between the two methods.\nThe function kulldorff from the package SpatialEpi (Kim and Wakefield 2010) is a simple tool to implement spatial-only scan statistics.\n\n\n\n\n\n\nKulldorf test\n\n\n\nUnder the kulldorff test, the statistics hypotheses are:\n\nH0: the risk is constant over the area, i.e., there is a spatial homogeneity of the incidence.\nH1: a particular window have higher incidence than the rest of the area , i.e., there is a spatial heterogeneity of incidence.\n\n\n\nBriefly, the kulldorff scan statistics scan the area for clusters using several steps:\n\nIt create a circular window of observation by defining a single location and an associated radius of the windows varying from 0 to a large number that depends on population distribution (largest radius could include 50% of the population).\nIt aggregates the count of events and the population at risk (or an expected count of events) inside and outside the window of observation.\nFinally, it computes the likelihood ratio and test whether the risk is equal inside versus outside the windows (H0) or greater inside the observed window (H1). The H0 distribution is estimated by simulating the distribution of counts under the null hypothesis (homogeneous risk).\nThese 3 steps are repeated for each location and each possible windows-radii.\n\nWhile we test the significance of a large number of observation windows, one can raise concern about multiple testing and Type I error. This approach however suggest that we are not interest in a set of signifiant cluster but only in a most-likely cluster. This a priori restriction eliminate concern for multpile comparison since the test is simplified to a statistically significance of one single most-likely cluster.\nBecause we tested all-possible locations and window-radius, we can also choose to look at secondary clusters. In this case, you should keep in mind that increasing the number of secondary cluster you select, increases the risk for Type I error.\n\nlibrary(\"SpatialEpi\")\n\nThe use of R spatial object is not implements in kulldorff() function. It uses instead matrix of xy coordinates that represents the centroids of the districts. A given district is included into the observed circular window if its centroids fall into the circle.\n\ndistrict_xy <- st_centroid(district) %>% \n st_coordinates()\n\nhead(district_xy)\n\n X Y\n1 330823.3 1464560\n2 749758.3 1541787\n3 468384.0 1277007\n4 494548.2 1215261\n5 459644.2 1194615\n6 360528.3 1516339\n\n\nWe can then call kulldorff function (you are strongly encouraged to call ?kulldorff to properly call the function). The alpha.level threshold filter for the secondary clusters that will be retained. The most-likely cluster will be saved whatever its significance.\n\nkd_Wfever <- kulldorff(district_xy, \n cases = district$cases,\n population = district$T_POP,\n expected.cases = district$expected,\n pop.upper.bound = 0.5, # include maximum 50% of the population in a windows\n n.simulations = 499,\n alpha.level = 0.2)\n\n\n\n\nThe function plot the histogram of the distribution of log-likelihood ratio simulated under the null hypothesis that is estimated based on Monte Carlo simulations. The observed value of the most significant cluster identified from all possible scans is compared to the distribution to determine significance. All outputs are saved into an R object, here called kd_Wfever. Unfortunately, the package did not develop any summary and visualization of the results but we can explore the output object.\n\nnames(kd_Wfever)\n\n[1] \"most.likely.cluster\" \"secondary.clusters\" \"type\" \n[4] \"log.lkhd\" \"simulated.log.lkhd\" \n\n\nFirst, we can focus on the most likely cluster and explore its characteristics.\n\n# We can see which districts (r number) belong to this cluster\nkd_Wfever$most.likely.cluster$location.IDs.included\n\n [1] 48 93 66 180 133 29 194 118 50 144 31 141 3 117 22 43 142\n\n# standardized incidence ratio\nkd_Wfever$most.likely.cluster$SMR\n\n[1] 2.303106\n\n# number of observed and expected cases in this cluster\nkd_Wfever$most.likely.cluster$number.of.cases\n\n[1] 122\n\nkd_Wfever$most.likely.cluster$expected.cases\n\n[1] 52.97195\n\n\n17 districts belong to the cluster and its number of cases is 2.3 times higher than the expected number of cases.\nSimilarly, we could study the secondary clusters. Results are saved in a list.\n\n# We can see which districts (r number) belong to this cluster\nlength(kd_Wfever$secondary.clusters)\n\n[1] 1\n\n# retrieve data for all secondary clusters into a table\ndf_secondary_clusters <- data.frame(SMR = sapply(kd_Wfever$secondary.clusters, '[[', 5), \n number.of.cases = sapply(kd_Wfever$secondary.clusters, '[[', 3),\n expected.cases = sapply(kd_Wfever$secondary.clusters, '[[', 4),\n p.value = sapply(kd_Wfever$secondary.clusters, '[[', 8))\n\nprint(df_secondary_clusters)\n\n SMR number.of.cases expected.cases p.value\n1 3.767698 16 4.246625 0.014\n\n\nWe only have one secondary cluster composed of one district.\n\n# create empty column to store cluster informations\ndistrict$k_cluster <- NA\n\n# save cluster information from kulldorff outputs\ndistrict$k_cluster[kd_Wfever$most.likely.cluster$location.IDs.included] <- 'Most likely cluster'\n\nfor(i in 1:length(kd_Wfever$secondary.clusters)){\ndistrict$k_cluster[kd_Wfever$secondary.clusters[[i]]$location.IDs.included] <- paste(\n 'Secondary cluster', i, sep = '')\n}\n\n#district$k_cluster[is.na(district$k_cluster)] <- \"No cluster\"\n\n\n# create map\nmf_map(x = district,\n var = \"k_cluster\",\n type = \"typo\",\n cex = 2,\n col_na = \"white\",\n pal = mf_get_pal(palette = \"Reds\", n = 3)[1:2],\n leg_title = \"Clusters\")\n\nmf_layout(title = \"Cluster using kulldorf scan statistic\")\n\n\n\n\n\n\n\n\n\n\nTo go further …\n\n\n\nIn this example, the expected number of cases was defined using the population count but note that standardization over other variables as age could also be implemented with the strata parameter in the kulldorff() function.\nIn addition, this cluster analysis was performed solely using the spatial scan but you should keep in mind that this method of cluster detection can be implemented for spatio-temporal data as well where the cluster definition is an abnormal number of cases in a delimited spatial area and during a given period of time. The windows of observation are therefore defined for a different center, radius and time-period. You should look at the function scan_ep_poisson() function in the package scanstatistic (Allévius 2018) for this analysis.\n\n\n\n\n\n\nAllévius, Benjamin. 2018. “Scanstatistics: Space-Time Anomaly Detection Using Scan Statistics.†Journal of Open Source Software 3 (25): 515.\n\n\nBivand, Roger S, Edzer J Pebesma, Virgilio Gómez-Rubio, and Edzer Jan Pebesma. 2008. Applied Spatial Data Analysis with r. Vol. 747248717. Springer.\n\n\nBivand, Roger, Micah Altman, Luc Anselin, Renato Assunção, Olaf Berke, Andrew Bernat, and Guillaume Blanchet. 2015. “Package ‘Spdep’.†The Comprehensive R Archive Network.\n\n\nGómez-Rubio, Virgilio, Juan Ferrándiz-Ferragud, Antonio López-QuıÌlez, et al. 2015. “Package ‘DCluster’.â€\n\n\nKim, Albert Y, and Jon Wakefield. 2010. “R Data and Methods for Spatial Epidemiology: The SpatialEpi Package.†Dept of Statistics, University of Washington." + "text": "6.2 Cluster analysis\n\n6.2.1 General introduction\nWhy studying clusters in epidemiology? Cluster analysis help identifying unusual patterns that occurs during a given period of time. The underlying ultimate goal of such analysis is to explain the observation of such patterns. In epidemiology, we can distinguish two types of process that would explain heterogeneity in case distribution:\n\nThe 1st order effects are the spatial variations of cases distribution caused by underlying properties of environment or the population structure itself. In such process individual get infected independently from the rest of the population. Such process includes the infection through an environment at risk as, for example, air pollution, contaminated waters or soils and UV exposition. This effect assume that the observed pattern is caused by a difference in risk intensity.\nThe 2nd order effects describes process of spread, contagion and diffusion of diseases caused by interactions between individuals. This includes transmission of infectious disease by proximity, but also the transmission of non-infectious disease, for example, with the diffusion of social norms within networks. This effect assume that the observed pattern is caused by correlations or co-variations.\n\nNo statistical methods could distinguish between these competing processes since their outcome results in similar pattern of points. The cluster analysis help describing the magnitude and the location of pattern but in no way could answer the question of why such patterns occurs. It is therefore a step that help detecting cluster for description and surveillance purpose and rising hypothesis on the underlying process that will lead further investigations.\nKnowledge about the disease and its transmission process could orientate the choice of the methods of study. We presented in this brief tutorial two methods of cluster detection, the Moran’s I test that test for spatial independence (likely related to 2nd order effects) and the scan statistics that test for homogeneous distribution (likely related 1st order effects). It relies on epidemiologist to select the tools that best serve the studied question.\n\n\n\n\n\n\nStatistic tests and distributions\n\n\n\nIn statistics, problems are usually expressed by defining two hypotheses: the null hypothesis (H0), i.e., an a priori hypothesis of the studied phenomenon (e.g., the situation is a random) and the alternative hypothesis (H1), e.g., the situation is not random. The main principle is to measure how likely the observed situation belong to the ensemble of situation that are possible under the H0 hypothesis.\nIn mathematics, a probability distribution is a mathematical expression that represents what we would expect due to random chance. The choice of the probability distribution relies on the type of data you use (continuous, count, binary). In general, three distribution a used while studying disease rates, the Binomial, the Poisson and the Poisson-gamma mixture (also known as negative binomial) distributions.\nMany the statistical tests assume by default that data are normally distributed. It implies that your variable is continuous and that all data could easily be represented by two parameters, the mean and the variance, i.e., each value have the same level of certainty. If many measure can be assessed under the normality assumption, this is usually not the case in epidemiology with strictly positives rates and count values that 1) does not fit the normal distribution and 2) does not provide with the same degree of certainty since variances likely differ between district due to different population size, i.e., some district have very sparse data (with high variance) while other have adequate data (with lower variance).\n\n# dataset statistics\nm_cases <- mean(district$incidence)\nsd_cases <- sd(district$incidence)\n\nhist(district$incidence, probability = TRUE, ylim = c(0, 0.4), xlim = c(-5, 16), xlab = \"Number of cases\", ylab = \"Probability\", main = \"Histogram of observed incidence compared\\nto Normal and Poisson distributions\")\ncurve(dnorm(x, m_cases, sd_cases),col = \"blue\", lwd = 1, add = TRUE)\npoints(0:max(district$incidence), dpois(0:max(district$incidence), m_cases),type = 'b', pch = 20, col = \"red\", ylim = c(0, 0.6), lty = 2)\n\nlegend(\"topright\", legend = c(\"Normal distribution\", \"Poisson distribution\", \"Observed distribution\"), col = c(\"blue\", \"red\", \"black\"),pch = c(NA, 20, NA), lty = c(1, 2, 1))\n\n\n\n\nIn this tutorial, we used the Poisson distribution in our statistical tests.\n\n\n\n\n6.2.2 Test for spatial autocorrelation (Moran’s I test)\n\n6.2.2.1 The global Moran’s I test\nA popular test for spatial autocorrelation is the Moran’s test. This test tells us whether nearby units tend to exhibit similar incidences. It ranges from -1 to +1. A value of -1 denote that units with low rates are located near other units with high rates, while a Moran’s I value of +1 indicates a concentration of spatial units exhibiting similar rates.\n\n\n\n\n\n\nMoran’s I test\n\n\n\nThe Moran’s statistics is:\n\\[I = \\frac{N}{\\sum_{i=1}^N\\sum_{j=1}^Nw_{ij}}\\frac{\\sum_{i=1}^N\\sum_{j=1}^Nw_{ij}(Y_i-\\bar{Y})(Y_j - \\bar{Y})}{\\sum_{i=1}^N(Y_i-\\bar{Y})^2}\\] with:\n\n\\(N\\): the number of polygons,\n\\(w_{ij}\\): is a matrix of spatial weight with zeroes on the diagonal (i.e., \\(w_{ii}=0\\)). For example, if polygons are neighbors, the weight takes the value \\(1\\) otherwise it takes the value \\(0\\).\n\\(Y_i\\): the variable of interest,\n\\(\\bar{Y}\\): the mean value of \\(Y\\).\n\nUnder the Moran’s test, the statistics hypotheses are:\n\nH0: the distribution of cases is spatially independent, i.e., \\(I=0\\).\nH1: the distribution of cases is spatially autocorrelated, i.e., \\(I\\ne0\\).\n\n\n\nWe will compute the Moran’s statistics using spdep(R. Bivand et al. 2015) and Dcluster(Gómez-Rubio et al. 2015) packages. spdep package provides a collection of functions to analyze spatial correlations of polygons and works with sp objects. In this example, we use poly2nb() and nb2listw(). These functions respectively detect the neighboring polygons and assign weight corresponding to \\(1/\\#\\ of\\ neighbors\\). Dcluster package provides a set of functions for the detection of spatial clusters of disease using count data.\n\nlibrary(spdep) # Functions for creating spatial weight, spatial analysis\nlibrary(DCluster) # Package with functions for spatial cluster analysis\n\nqueen_nb <- poly2nb(district) # Neighbors according to queen case\nq_listw <- nb2listw(queen_nb, style = 'W') # row-standardized weights\n\n# Moran's I test\nm_test <- moranI.test(cases ~ offset(log(expected)), \n data = district,\n model = 'poisson',\n R = 499,\n listw = q_listw,\n n = length(district$cases), # number of regions\n S0 = Szero(q_listw)) # Global sum of weights\nprint(m_test)\n\nMoran's I test of spatial autocorrelation \n\n Type of boots.: parametric \n Model used when sampling: Poisson \n Number of simulations: 499 \n Statistic: 0.1566449 \n p-value : 0.014 \n\nplot(m_test)\n\n\n\n\nThe Moran’s statistics is here \\(I =\\) 0.16. When comparing its value to the H0 distribution (built under 499 simulations), the probability of observing such a I value under the null hypothesis, i.e. the distribution of cases is spatially independent, is \\(p_{value} =\\) 0.014. We therefore reject H0 with error risk of \\(\\alpha = 5\\%\\). The distribution of cases is therefore autocorrelated across districts in Cambodia.\n\n\n6.2.2.2 The Local Moran’s I LISA test\nThe global Moran’s test provides us a global statistical value informing whether autocorrelation occurs over the territory but does not inform on where does these correlations occurs, i.e., what is the locations of the clusters. To identify such cluster, we can decompose the Moran’s I statistic to extract local information of the level of correlation of each district and its neighbors. This is called the Local Moran’s I LISA statistic. Because the Local Moran’s I LISA statistic test each district for autocorrelation independently, concern is raised about multiple testing limitations that increase the Type I error (\\(\\alpha\\)) of the statistical tests. The use of local test should therefore be study in light of explore and describes clusters once the global test has detected autocorrelation.\n\n\n\n\n\n\nStatistical test\n\n\n\nFor each district \\(i\\), the Local Moran’s I statistics is:\n\\[I_i = \\frac{(Y_i-\\bar{Y})}{\\sum_{i=1}^N(Y_i-\\bar{Y})^2}\\sum_{j=1}^Nw_{ij}(Y_j - \\bar{Y}) \\text{ with } I = \\sum_{i=1}^NI_i/N\\]\n\n\nThe localmoran()function from the package spdep treats the variable of interest as if it was normally distributed. In some cases, this assumption could be reasonable for incidence rate, especially when the areal units of analysis have sufficiently large population count suggesting that the values have similar level of variances. Unfortunately, the local Moran’s test has not been implemented for Poisson distribution (population not large enough in some districts) in spdep package. However, Bivand et al. (R. S. Bivand et al. 2008) provided some code to manually perform the analysis using Poisson distribution and this code was further implemented in the course “Spatial Epidemiologyâ€.\n\n# Step 1 - Create the standardized deviation of observed from expected\nsd_lm <- (district$cases - district$expected) / sqrt(district$expected)\n\n# Step 2 - Create a spatially lagged version of standardized deviation of neighbors\nwsd_lm <- lag.listw(q_listw, sd_lm)\n\n# Step 3 - the local Moran's I is the product of step 1 and step 2\ndistrict$I_lm <- sd_lm * wsd_lm\n\n# Step 4 - setup parameters for simulation of the null distribution\n\n# Specify number of simulations to run\nnsim <- 499\n\n# Specify dimensions of result based on number of regions\nN <- length(district$expected)\n\n# Create a matrix of zeros to hold results, with a row for each county, and a column for each simulation\nsims <- matrix(0, ncol = nsim, nrow = N)\n\n# Step 5 - Start a for-loop to iterate over simulation columns\nfor(i in 1:nsim){\n y <- rpois(N, lambda = district$expected) # generate a random event count, given expected\n sd_lmi <- (y - district$expected) / sqrt(district$expected) # standardized local measure\n wsd_lmi <- lag.listw(q_listw, sd_lmi) # standardized spatially lagged measure\n sims[, i] <- sd_lmi * wsd_lmi # this is the I(i) statistic under this iteration of null\n}\n\n# Step 6 - For each county, test where the observed value ranks with respect to the null simulations\nxrank <- apply(cbind(district$I_lm, sims), 1, function(x) rank(x)[1])\n\n# Step 7 - Calculate the difference between observed rank and total possible (nsim)\ndiff <- nsim - xrank\ndiff <- ifelse(diff > 0, diff, 0)\n\n# Step 8 - Assuming a uniform distribution of ranks, calculate p-value for observed\n# given the null distribution generate from simulations\ndistrict$pval_lm <- punif((diff + 1) / (nsim + 1))\n\nBriefly, the process consist on 1) computing the I statistics for the observed data, 2) estimating the null distribution of the I statistics by performing random sampling into a poisson distribution and 3) comparing the observed I statistic with the null distribution to determine the probability to observe such value if the number of cases were spatially independent. For each district, we obtain a p-value based on the comparison of the observed value and the null distribution.\nA conventional way of plotting these results is to classify the districts into 5 classes based on local Moran’s I output. The classification of cluster that are significantly autocorrelated to their neighbors is performed based on a comparison of the scaled incidence in the district compared to the scaled weighted averaged incidence of it neighboring districts (computed with lag.listw()):\n\nDistricts that have higher-than-average rates in both index regions and their neighbors and showing statistically significant positive values for the local \\(I_i\\) statistic are defined as High-High (hotspot of the disease)\nDistricts that have lower-than-average rates in both index regions and their neighbors and showing statistically significant positive values for the local \\(I_i\\) statistic are defined as Low-Low (cold spot of the disease).\nDistricts that have higher-than-average rates in the index regions and lower-than-average rates in their neighbors, and showing statistically significant negative values for the local \\(I_i\\) statistic are defined as High-Low(outlier with high incidence in an area with low incidence).\nDistricts that have lower-than-average rates in the index regions and higher-than-average rates in their neighbors, and showing statistically significant negative values for the local \\(I_i\\) statistic are defined as Low-High (outlier of low incidence in area with high incidence).\nDistricts with non-significant values for the \\(I_i\\) statistic are defined as Non-significant.\n\n\n# create lagged local raw_rate - in other words the average of the queen neighbors value\n# values are scaled (centered and reduced) to be compared to average\ndistrict$lag_std <- scale(lag.listw(q_listw, var = district$incidence))\ndistrict$incidence_std <- scale(district$incidence)\n\n# extract pvalues\n# district$lm_pv <- lm_test[,5]\n\n# Classify local moran's outputs\ndistrict$lm_class <- NA\ndistrict$lm_class[district$incidence_std >=0 & district$lag_std >=0] <- 'High-High'\ndistrict$lm_class[district$incidence_std <=0 & district$lag_std <=0] <- 'Low-Low'\ndistrict$lm_class[district$incidence_std <=0 & district$lag_std >=0] <- 'Low-High'\ndistrict$lm_class[district$incidence_std >=0 & district$lag_std <=0] <- 'High-Low'\ndistrict$lm_class[district$pval_lm >= 0.05] <- 'Non-significant'\n\ndistrict$lm_class <- factor(district$lm_class, levels=c(\"High-High\", \"Low-Low\", \"High-Low\", \"Low-High\", \"Non-significant\") )\n\n# create map\nmf_map(x = district,\n var = \"lm_class\",\n type = \"typo\",\n cex = 2,\n col_na = \"white\",\n #val_order = c(\"High-High\", \"Low-Low\", \"High-Low\", \"Low-High\", \"Non-significant\") ,\n pal = c(\"#6D0026\" , \"blue\", \"white\") , # \"#FF755F\",\"#7FABD3\" ,\n leg_title = \"Clusters\")\n\nmf_layout(title = \"Cluster using Local Moran's I statistic\")\n\n\n\n\n\n\n\n6.2.3 Spatial scan statistics\nWhile Moran’s indices focus on testing for autocorrelation between neighboring polygons (under the null assumption of spatial independence), the spatial scan statistic aims at identifying an abnormal higher risk in a given region compared to the risk outside of this region (under the null assumption of homogeneous distribution). The conception of a cluster is therefore different between the two methods.\nThe function kulldorff from the package SpatialEpi (Kim and Wakefield 2010) is a simple tool to implement spatial-only scan statistics.\n\n\n\n\n\n\nKulldorf test\n\n\n\nUnder the kulldorff test, the statistics hypotheses are:\n\nH0: the risk is constant over the area, i.e., there is a spatial homogeneity of the incidence.\nH1: a particular window have higher incidence than the rest of the area , i.e., there is a spatial heterogeneity of incidence.\n\n\n\nBriefly, the kulldorff scan statistics scan the area for clusters using several steps:\n\nIt create a circular window of observation by defining a single location and an associated radius of the windows varying from 0 to a large number that depends on population distribution (largest radius could include 50% of the population).\nIt aggregates the count of events and the population at risk (or an expected count of events) inside and outside the window of observation.\nFinally, it computes the likelihood ratio and test whether the risk is equal inside versus outside the windows (H0) or greater inside the observed window (H1). The H0 distribution is estimated by simulating the distribution of counts under the null hypothesis (homogeneous risk).\nThese 3 steps are repeated for each location and each possible windows-radii.\n\nWhile we test the significance of a large number of observation windows, one can raise concern about multiple testing and Type I error. This approach however suggest that we are not interest in a set of signifiant cluster but only in a most-likely cluster. This a priori restriction eliminate concern for multpile comparison since the test is simplified to a statistically significance of one single most-likely cluster.\nBecause we tested all-possible locations and window-radius, we can also choose to look at secondary clusters. In this case, you should keep in mind that increasing the number of secondary cluster you select, increases the risk for Type I error.\n\nlibrary(\"SpatialEpi\")\n\nThe use of R spatial object is not implements in kulldorff() function. It uses instead matrix of xy coordinates that represents the centroids of the districts. A given district is included into the observed circular window if its centroids fall into the circle.\n\ndistrict_xy <- st_centroid(district) %>% \n st_coordinates()\n\nhead(district_xy)\n\n X Y\n1 330823.3 1464560\n2 749758.3 1541787\n3 468384.0 1277007\n4 494548.2 1215261\n5 459644.2 1194615\n6 360528.3 1516339\n\n\nWe can then call kulldorff function (you are strongly encouraged to call ?kulldorff to properly call the function). The alpha.level threshold filter for the secondary clusters that will be retained. The most-likely cluster will be saved whatever its significance.\n\nkd_Wfever <- kulldorff(district_xy, \n cases = district$cases,\n population = district$T_POP,\n expected.cases = district$expected,\n pop.upper.bound = 0.5, # include maximum 50% of the population in a windows\n n.simulations = 499,\n alpha.level = 0.2)\n\n\n\n\nThe function plot the histogram of the distribution of log-likelihood ratio simulated under the null hypothesis that is estimated based on Monte Carlo simulations. The observed value of the most significant cluster identified from all possible scans is compared to the distribution to determine significance. All outputs are saved into an R object, here called kd_Wfever. Unfortunately, the package did not develop any summary and visualization of the results but we can explore the output object.\n\nnames(kd_Wfever)\n\n[1] \"most.likely.cluster\" \"secondary.clusters\" \"type\" \n[4] \"log.lkhd\" \"simulated.log.lkhd\" \n\n\nFirst, we can focus on the most likely cluster and explore its characteristics.\n\n# We can see which districts (r number) belong to this cluster\nkd_Wfever$most.likely.cluster$location.IDs.included\n\n [1] 48 93 66 180 133 29 194 118 50 144 31 141 3 117 22 43 142\n\n# standardized incidence ratio\nkd_Wfever$most.likely.cluster$SMR\n\n[1] 2.303106\n\n# number of observed and expected cases in this cluster\nkd_Wfever$most.likely.cluster$number.of.cases\n\n[1] 122\n\nkd_Wfever$most.likely.cluster$expected.cases\n\n[1] 52.97195\n\n\n17 districts belong to the cluster and its number of cases is 2.3 times higher than the expected number of cases.\nSimilarly, we could study the secondary clusters. Results are saved in a list.\n\n# We can see which districts (r number) belong to this cluster\nlength(kd_Wfever$secondary.clusters)\n\n[1] 1\n\n# retrieve data for all secondary clusters into a table\ndf_secondary_clusters <- data.frame(SMR = sapply(kd_Wfever$secondary.clusters, '[[', 5), \n number.of.cases = sapply(kd_Wfever$secondary.clusters, '[[', 3),\n expected.cases = sapply(kd_Wfever$secondary.clusters, '[[', 4),\n p.value = sapply(kd_Wfever$secondary.clusters, '[[', 8))\n\nprint(df_secondary_clusters)\n\n SMR number.of.cases expected.cases p.value\n1 3.767698 16 4.246625 0.014\n\n\nWe only have one secondary cluster composed of one district.\n\n# create empty column to store cluster informations\ndistrict$k_cluster <- NA\n\n# save cluster information from kulldorff outputs\ndistrict$k_cluster[kd_Wfever$most.likely.cluster$location.IDs.included] <- 'Most likely cluster'\n\nfor(i in 1:length(kd_Wfever$secondary.clusters)){\ndistrict$k_cluster[kd_Wfever$secondary.clusters[[i]]$location.IDs.included] <- paste(\n 'Secondary cluster', i, sep = '')\n}\n\n#district$k_cluster[is.na(district$k_cluster)] <- \"No cluster\"\n\n\n# create map\nmf_map(x = district,\n var = \"k_cluster\",\n type = \"typo\",\n cex = 2,\n col_na = \"white\",\n pal = mf_get_pal(palette = \"Reds\", n = 3)[1:2],\n leg_title = \"Clusters\")\n\nmf_layout(title = \"Cluster using kulldorf scan statistic\")\n\n\n\n\n\n\n\n\n\n\nTo go further …\n\n\n\nIn this example, the expected number of cases was defined using the population count but note that standardization over other variables as age could also be implemented with the strata parameter in the kulldorff() function.\nIn addition, this cluster analysis was performed solely using the spatial scan but you should keep in mind that this method of cluster detection can be implemented for spatio-temporal data as well where the cluster definition is an abnormal number of cases in a delimited spatial area and during a given period of time. The windows of observation are therefore defined for a different center, radius and time-period. You should look at the function scan_ep_poisson() function in the package scanstatistic (Allévius 2018) for this analysis.\n\n\n\n\n\n\nAllévius, Benjamin. 2018. “Scanstatistics: Space-Time Anomaly Detection Using Scan Statistics.†Journal of Open Source Software 3 (25): 515.\n\n\nBivand, Roger S, Edzer J Pebesma, Virgilio Gómez-Rubio, and Edzer Jan Pebesma. 2008. Applied Spatial Data Analysis with r. Vol. 747248717. Springer.\n\n\nBivand, Roger, Micah Altman, Luc Anselin, Renato Assunção, Olaf Berke, Andrew Bernat, and Guillaume Blanchet. 2015. “Package ‘Spdep’.†The Comprehensive R Archive Network.\n\n\nGómez-Rubio, Virgilio, Juan Ferrándiz-Ferragud, Antonio López-QuıÌlez, et al. 2015. “Package ‘DCluster’.â€\n\n\nKim, Albert Y, and Jon Wakefield. 2010. “R Data and Methods for Spatial Epidemiology: The SpatialEpi Package.†Dept of Statistics, University of Washington." }, { "objectID": "01-introduction.html", -- GitLab