From 248fe5cc7467977160a6f11f6bd2fbeee198d62b Mon Sep 17 00:00:00 2001 From: klappstuhl Date: Mon, 8 Jan 2024 12:21:38 +0100 Subject: [PATCH] Ergebnisse werden jz noch nice ausgewertet :D --- Endergebnisse_mit_Linien.png | Bin 0 -> 80726 bytes Endergebnisse_ohne_Linien.png | Bin 0 -> 75925 bytes config | 64 +++++++ project-cancer-classification-pca-nn.ipynb | 209 ++++++++++++++++++++- 4 files changed, 272 insertions(+), 1 deletion(-) create mode 100644 Endergebnisse_mit_Linien.png create mode 100644 Endergebnisse_ohne_Linien.png create mode 100644 config diff --git a/Endergebnisse_mit_Linien.png b/Endergebnisse_mit_Linien.png new file mode 100644 index 0000000000000000000000000000000000000000..cd8b75ff158842c7d710f3350040b42aa682fd47 GIT binary patch literal 80726 zcmeFZXH-*P^aY55*eEIj3Id{l(v{v(5s)su6H$uv8hVI;f`S6ld+z}vy%Q0Y-b<(f zq!Wsi5FnJf@i+6I`7mqNe3(x&lO_5TUb*+4v(Mi9+~=p4>WY+C7_N|zkWebUc&g!Jwua_}#Lv&rYdAL8!v2JYHUR_>nWu9hTf=I+k+PVV+LukU(Ty1LmoISTTL z@(J?Xm_@9;lAz~|&@%}*C3)(b9j+4+T`8wm-uIq~aUfo#4F$vF}drRPs| zyi(SuJ^gM%PusTf_8LxXk?)y(ob+_Ay(D|isa5=u(msFLd--svB6VX=3fCz2%b!b& zELQt@ne)D~=2y&fqh~%dA}CoA!*aH-@2eTTq+x&WO75m6_I0b@BlO}4Oszs{+Ta1e z=gIr>_YMCYlFZgzdj%cQ9>pg`DR!RR1q7jKBF|>!V7`uDBD&$!Z5~F!(2&{#RuTE!3NZuM<0)TPx*Q3wm zC*pLnf0@<%@eMN_k0>0*zGY%WYNkDsDO&rfWsjZ7xLXGnz&-m-J*RU60|TAo138L{ zi&eqH(4Y04dzT%_J9UACB&j+c;xE2{gP-oQ@EVrqjP8`0HZTvnq zbV8?}9WMt-oR)3=xXM3Fqal@PSYfpqF1cAy(PM{f%1e{>Ez(DtUGz%D zbmpa=US7jivvJhQ3Px4flPrpDxyT|_FmF(zXIL^yIx+gXtbNgy zX?WX?i2&Yny+7Hy?*m%q|R-5)>}jm=0-UpjPK5kH!B(& zGjNz`HhuH^v!=a$v6i+rbhk$oT_1ko!iD<1L6z9Z$c&#qpQ|MbJ$zY&9dn=iu7_aQ!LqDs&w35>k0yiI@ z`u6tr+IU4iGyK>^X%NKBgVsl2DEuQ6XTDoa#J_-`ycka$cD$)aVv?v6b0ZkV>7fL2 zetoe|?=6J7b}}>{V7h45^+NZ)J7$xUR*)cjrheo#%c;ij2%~ zgXgSstY78G&CBEB;81we7OtzVuKr>&_%y{~1y}4uRUC{NA_%By>zhJj?@)!%@fch) zIql>|7QoL=LqkKgTwTjKG}4Lz?0m2{b~`h!w%4?^En-{UY}lg0$O$ixladIT9!oHg zI6q%lTC)B5@p_V!cR64E$~|ExjEUB)oB@av;uHM({d+AtLS~T3b1E|{>z?%S-&Vr( zRM-KRP^b6`E#uy*!MK*{WE8$p0K|y7kw7KD#pad<|2^IM&OD6)GenW`eX>IL-`u| z=u%VMZ$_uLoiUu062Cvtn-vftqr$333*~?EEL_@i()q_@AgVsmKp2;5PaJn$$A756nebf7E+o1$UIQOW4(Z|g@WYSh!pkO zQr10~@m^+9OA=C&_T3*QrIyM#KK3*9KV0nW?xq+=N3pB8gDkOI>CZfxoH^xCGHUXv zk~uqen|5xcBx1lsjS~{Y->47Ea(7~OP7WI-i;PKBr7zww)$7lvmcJsx!n#|{gi=1# zu`4Yt?JAfMit$q<`~(3)#@*h*`2!BI?Y=F1y}zqiU)7%=fm?+epq1zqP`A+bVu;ZbX$m7_pVRd!?bK=5-Sh%g&n> zpnSEUlSQ3G*b_ncTbY@eIUj<`V5ux{MwmGxkDvBlPOY+yvXHn#<<=TZ*<#79Un<0& z2yp1R^Z3d@b`L-zH^Tl#izOC~6m<|WZkJ&Ji=Z8q7#*#>47Di+2s{>J;SZvWwF}Wl z0KtBVFIm7cl(VC8InDRk#Qw%4dVK~3|BFj@YPL}pVDVYWoE1Q#?b1L7RP7t4gWA&z z_(<;R?qOgT9lx2qvOv23(dw)WH#fIjbyr`XD0qBFGmmjg)-Lu$fLPXlaaZ{pUnvWS zI$`XS@@%ZEt&^!jTJH$k#;oEAK^v!AXQzEJ7V3!t?6vkYc1w6dPdJlgQfmk`^>}r0 zako9XG}Zg}ZELc4-I@C!@BB;Ln88GfzwOU3>Y`ps1NfW|5=^C{wpOgx9#p)%oJbf3 zM7@=tU*jsy$Bqd#QBs4ko!Hoqe50qQm-Ok=Css6Jr;A^7XlSShWYc?lS??VSK~`4Q zgC+wQ(`1bk1WTwWC6t5JVBM0df*~hCj@x-`VVW?zkJN_z4(3ASFlQ$=D`g1m=0ufU zd(+{;d_;0oHw*lDKuB%Ky_#f7#V6t3dBEg_~h}ra3lqz2+zXl>B$z{$*4rHA|vB&ZE>co zHKUI-_DFoV-?!dpGK9r{Y|l$-DMu-~yP)9VZWA7JwHnMum`#;Y4`H)`KPQ~{OqJvI ztX=pMneL8`LY&(L5@+{Umsm+=KRQdKCP_eTOBO)|YC(pDg;iPiF%z*4P@*AF%Jv&( zl%hF6Byt`c4Qp$}vH{e#K}}LIil_pH(t-xqs|Bi*voSziYMFy4M9!d~pzzH!go;V% z_0NxyFkL*k7q+B^%B%b^NEmjs7m3bK^RaD*8dSdhYA<5^O)>6fg4@~=7U}f&F|neY zfWsq@Oo3fiJxS~#t(li;ILPpZ)5dLEcy4}v4Kt)ZDLF-f+rgaE;cO7~f=2@s08a?T z_*6~JOH;jKgG?M2jSalY_tMd^l!(?~eG4ipb>u>*MjoX5X~%pjVtL!^S+H5t*(rhR;lq9~&ukZb zW_r?PA=!!%aW+XUc4c77h*IEu7IGNQDeYr%J(xF&teL!%|eL0we)%j>5?OKGJ`9u30gKggO+ z_9u#nY@ zva&p4FLYb(rIhIfXINGl1?|%5>gcR|5ykX>yng@Lv*dU)A0-fIQC*8#%F3aDkK%eI zw}e)tOA3$VyxPK< zy0+XV!mhMVAyoo82rfPhV8aw3Rn?LWcDkVk)RY?n7WTa<;c2uq2oRT5u;J}N> zjXFC!!Bh>FTXwm3@zw|xJkW+|6bmvwf)BLVHy{B>z;-$w909x{PUG9{KfjU$t;4}! zvw$Xn=pp{C$z@N4AKi?K~Z)5UY0le0+zl>^cY=mmjS34d&+bU4RkiWPXPHkH?_fzAdnS4 zRBICIz+zQ-ZNF{;fKSvPf9B_ffee~G0@R8ahUmZxSD(pT)5qVnvG38!P*mt)ek3j~ zPS~*2mzENekud{I!fvk&0VK?bI2-QCOxT*6?FtOYY$2b$w_lj0jr>s%w29l7H2)); zlSO{`<>1@I^#IFMa=5#U03!pkXb_}t5aETIny!gSil5BPQ`4||HgLs5wl2U2N7t%u z($HjsYGN~(qvYB!O%wrOA!Md~uqCc_COGnkA%DgwHFy0Hn@t=_%n^!!M(BZx3wI+Z zGJCTvG#4}bOy#LD!T@yv)#>W$hpH`tscFTuqpZc2_8b3R<`ta%x-_rSgEX%!0I;P* zZ9v1J+Ry0Jc%8zeqP*N9DG$`@eDzd`lcmEAL>c}XNyaL%4&Jpdf>)ST;DaVNMnR1H z(ABzx7%4Ju4PGTCA*jZIU84458Gs0i<~RUKR(=9Am zrV@VCaruBSH7KkAI*4?x{gl~vy$m=zC^+2G(sC7;HVt6WZAxc4!#?=4wIiT<@<9|m&T(*bbZoZ^`*mZTQx^tN3c#ol)kBK7 zn~-(yo!tEVkoUA8<>%WX(14uahBRbHiV8E)S$stQ0npiJX;%(`GPVQu63Uy8DnxF& z9vW?vwBsceb^ctuj%2O$*c;JdAVy=7l8QiK=dwr#rp)Ug+ciKT+wopCj?Eezg5ftSa{c79n3dTh65dUG`;0dl=Xn+v6RnA zh5R6zRz!d!y+}1Yq7UH(gav+rg%BMRKpL*wd-h4=SE4m!1`0H@he4QGT3g%w{(Kuq zw_J7c#TW$^QBV?z;RM!_we=BEO4a}iCS%F}wzN+rvF^!&xt{>cs~(EY1Jzc@hbjd) zDPL|2a)?pu^~?oDxdW|h*AjSvLDHjG;R{19(MI%=3C=8`4iI8~r;=FPrv?sAm- zQlfQ{d>9>rm~#ejUP?z0`oQ`+iYLwy;PgrXBrl>I8#YAL(xePQasb{%MQ(i2XFa%l za-$x|Y+;89AfrV6H-IrFs)5$&34D;QQwT!sw{z z=#gwiYLKYebM%xX*Am0m<*3h*C^i7vH#&uf^8*Sh(BQdcW=-gmJ)4r+{z=mV3bx?= z`>n@A>8BRW;HG(OyYmsURMnGs%~fHRU(Ng*yO(f)MO5giMRkMgRF76er4>$Fsbz(L z4zvS8QIMOv%MZj}4{;*$x)!h4xNX)gC*8h%JFj)_k)VJ;_imr;j7g27Y3lOyHBcCq z4z}lsLQ;^EvjZ44NryyS@bNnV<*_>RoSAn1UPF=G!Pa@Ad;rx`{_azdSWl;Hb?>`?mrjei3r2%_ClP+EHWb7-i*MQUdIQ!w3C7z7~dwWF{%NqKdChpui@wJuhG3KFjde53@L z2kJtyz-ux>b3J&F-@6N2jMeW3LY62q*N5^W4gsfN8kV+6$`c2eQUM(DyrESg-@O%c zK9k!1JF@D_MQDc|>B{n+xjhS=H1uGDTiII`7%s?|> z38-a9WdRW3OoJZtzrQT8$D6#aemn4^a&iOE{XB0F6v;@`sn0hx9KI948DqJF>6WG( zyf?|JwbUAhE@8#H!)6{3Z^@nrd>c3CaZo0DwAICbeg5?6@tfDLyZKD(6VPV9C3PMf z6R(o%{Y(9}f6-f=ot~(Lv}!KnnMpEi1XKkB{d*`$p3pqD>b_NCRK<0WBRTtW1*{C9 z>UKTx!P!HAZWRLEu?C9v(Dwk+R?}Yd7HLWnF`Wd`t0eDE9`f^3dp7~~!)sJoFq%CR z5DZGtj!zS7R~(;d5h#JK5T@My6LBr+GZUctk8oJ}ydo;5O&gN$a|+ZvBqaOyrKL@Q zkSHYDU_?~wc#y7RX_*_x4=Du&KDa?j=qb?{0(HlIK%SoH!rP4&4`^#h=e~bWb^?M> zSxM=#=O?kBrL}*q#Ky;CbE4I?zy*MrnnCPCfZBora4_l|@7Z6Qe~u)CF}jwNlu@TJF)a+0@sRfDwpZT)DX$L)-TKk|FuIuzU>YGy%+F#_fY}R&;O2o z-!TwdIQB<*tdC^^AiW)Yebe>dw-m*PgaAt`2Bg7|XKzHD;rgq&$jP!dAx2fUw3`C| zex@w}_`!w1pP%C+4LNs?j;ih-7PH&|y3o8d&mSwW{Z#WYSXE-i#!NnpC7%O30ZAFTS)_K##_Wd4vA1Bm(6)~2{e z{rWl8=4~N5JOxA8|KS?KRldPC_Tgp}6#otA$@BZ)iT!NQ2>$=bQN@RU?d}(}m@B5` z2RCTx=xslGeq8tPtyKXN@$uH)|IPV$bHfwNTE^wqf8ZqF%ijO*QA74W@$-Lnr22=7 zINNO`9H$riV+KGb{`*}2Lh^rkq%`%fG5>^D^*G|iGh+4;KhK3g^X>o9BjZ}|7_)D6 z=1Th6!}vALT{45cLfRc`LK@h>eKI<-04e%|-~^BhVcX${sle_uDtrCG zv2k0$)a4hg4`^gjx#j+MFX;X65}jXeJ$^>y2fxFaCNuUmq;WAs;Q?gKbJGTo5h&U; z9~l1{5y0ayFTDxQ6T4FBz+GZ+z25%stHPxhAFuMqG!xX1=2>z-T*agMU^Px3+nA$0 zHf*OvMwFFv7@cAy+#`MVV|?&&eDyCT8V|qkdwv51&*xz7q{g^jXKg6og>bql38dC{ z^o0w9LDZ)ngmM9!?<9q_Vt;+WO-viUyGVM*Iig@rlS$|@Pp3jB$m&uudxW)9GQC+O zg&gQb1fxxM6JSR#gk=%aaCin)Snj^GAhZb3#f-QB(p)Fhbi?LSa;{+ogBj^Ha@9ZK z*NEf^2v@ptdm{7P{>|8`eGLrHxzZaq@_mMs{7&;5seOaHD{lv~TqYCqgj{oms}Oth z5n4Ji3wRYIiqB!{)+P1u%GDw2ndXZWk-(kzGi7>pa@dEfIYXmz-1=hw{MqO8-P5$` zzQrjkdrd3VIS|n509hu<&8BeXh`lK{Ez4Y;6X*ElwCG?e%467CAtkcmD1pErqM9US zSifFAf&CpG3wjvk<2f}maU80V)%KT*2}9{Q+Ul3zd+XV?VoAd9p67W#R%I7Y>;sk; z|0i#?yuItPva)O)KyS7Xcr3G6(BV>wYMcL>zvM)JPZjF$)#U!Ys{q4V=W*>qJ+tU3 z(J_{Pu%>EJuC(JL#oAN#@80|tJig2=|5z@h6Cy1Car=0;TxLIE!TE(ux}SzD@B9hg za=c6~NlY^|Gzvd%ox3@0Ipxx@2{{P(tc<*Kl`n3&Fi}fO>&40M5SGq*%do~U`ip_# zYr6%^1Da6BILWP;GWSA?8e^-r@SUCnR(AFdpTk9gRQ218qMc*aYF7Boou;Fr1?TpI zmF({xw6sx^yfa@!J5wZtoxkv*OsuvrJ7=4oQEb3(dhz)2&WuY44`|5I(siD--w${* z;~ve!;{Q-k+;FMmL6n37@kf#QJX{)w&FF-_=ap_ zf!}IL#mqAgKa0ju!z1wxTNbGzY6>o8!wog6$!g8W=Ax5RnUl)Ktwx$gKGrP<`{H6! z^7i9H>qM%MVnz|NiP6UJct|r|qSTaoa;ay>fBS=dlW$jYGWRcFB{N?YUur(uFG2Nu zydLmwaQ^ENKHh=g;oa3miUY%+Xl^6X0*T$f|_|bHJ^r1F}R-Kj0C;Q zt0BH6Y#o|9Z1^mBhJ^0bsHiM&GS?avKvC< zD#{CoL+NY?-TgnWDVtY0V7667S%!i*prL3dHYR`p%~nXrQ`@OGF=}}GRRRg&_q8eX zH>!NGLC32VhD43(>&l&|A7dew+djC%EP3U_ZABap*PuRsQw|NY*OO$0h|y~Qlba{U zyK84F*+)CQl8ax$^}2ggB`gQocoW67mFz|ftTn&J@fqb5Y|lfFtkZ1l8cuqY6!ThR6WKVgHP z9;_|Xa=V+LOFK`yAeGPqXCIa*D|&rtJWV^Vksps^V{!(uWTSAK8NppREcFtn4Z4S**V8&y|4yG{~~(WYKtW*PLSO zluSX0xBOCp<_^6>;@q?jBoCb^U^1};eIlx35DFQw`en7#c&GoxW(mk z%Y{W7ixJoPiav{`ZH2;0ol~Xg1r(OgaH~mQ!926R*obzleIstXy2L2_4kz~bPyqC4 z{uVJC$DN&Mz~<*id>3BWw2~V-HR=97!UdSgT3RwpG}d*`wOXdiLK3Iz3spv3c+Uvw zH)*nqzuvbz+>|W*_Oe7VJO=lHegR0EFJj9nPhh`(l>?ax+VPzCITS|WXU5hTPXL|L zxoL921^H}U+8P~E$%wDQ%Qc~)gND=f9WPX4pqR$*hmPa-lBb!a@UYtu7`t6p94ofu z>>xzTsxOX?H_E1_t8tl`N!B5W2Y%+;4lVwLjRjtWx9q_a2T)wilWbkiPS!w!AOLq? zkt=(XmvlF(%9cGb?{%7=*6j#sjxB20_d;c-^DN56^~<)YZ3tv%{p$~nATqxSE6m)I z^l0DNZnM>XlbpBbmgmEEE!+%5j?19Z1DgREl#M~T#V2)%)f}H17l~9rVXERLH}*NU zSy6??2AB|xa$Top@cyvZuYm(=aBA0lE!U zT3b*%p@Cy~^u%YUqlqAU;%>93yjt2|!Ta#iXd%cL5WY?9MQfMM>B4T(RMezS^Ceo% z;&AATOK6|@FW-MIo*Z>7;m9X+a0XW$mpxRrw*%062#YeZ=4yjyrMc_--*IJ=q?rb< zvxYN+>_O356a4%{%{oQXF3Pom&C*&W__}M!+KE|cL_8O_9GX$VS%xdy_N#6b$ke3A za&$u!X~rKtF<-A-v5+OKf43Wo@mPtoY}P9|-}1uy5VM$@>x*I*ICbmUq|Gr_Q*X;x z=a1%Eb3vuH-PbCT(NhC!QIpQb?u# zty?}%v*9#;AAWUs8WHdQ=abe5 ze>YqkM{|0#_caYJ^9@#oD7`}FW7?n`Z*pVI+B8osdZIeE9(r{+HkNh;svAAce5uY) z25gEU-LUStVn5m7IeRNYTF-Z;qa)xAeoYrobI-K&39>XoX5y@lK_MePwv`pS)r>bP zh43#fDzW(A^1AX$jo$2G(~k1pCk=nD*v$QyAe0oxD14dljp$CeKCua~I*vD&A4RdA zZQ1o5T7rSg%g=I#!j8yJ7naCJ6Rk4x)-uz}-)`2|`M9+vvxcOj9Q`+Z$;F;gR2+Rh z|D9D!M<)k3BD6~j&yVjI5WQ)I&$pg>Y71QgG$;Fqab{r{zqY1krd330No_%Us^Iyr z0sm=w*kRB2g-N>m*Z5+*lw(ZevXvpZ7=q=eID5iN_Sj$L^^}yo5~kd{{=*kiIc)q! z4K_Guva2p&*_0HVADN7Bx4zW#^UamdSB|>Eb+u9iRpc=8w|rJ4I8&soB*-Cb`j-); zmNiGM=On)^2jT6W#8%j?ok#hBQEuOO8WWj0Trm9IKP*i5x+OYq3fkGYf2K2zNZu($ zNmz1>QI7$x2d+^7Buxjy+~5Z(b7TIR2)7nOc^$=`im& z4>GCZIV@4Lw$F!9=_qZ|@Sf7GZopt?D`cyZxjPn@+ax`)R0=oU73tR3^v<-W4dz?% z{YrPb6VBmr3%PChhSmn`)r*NtDgqAS$J0BZq;0_7@dK@~{tu$h4En! zwSbdZV8M(Xn|(1x8PUelx)z@`SVT;vhkT^?uL|U~a-*h#A+f<4;Fn`7a;f>Dc+Yp# z1OKX6+vui;V^%ZO*722k_56R`w~(geMz;uIQ^FHd z&Y!hcOpYqKp9FW!0 z8=ds9HMdUHWk`Um(knKfj@lbGIq>tWWwTDGwAi=_;a{TP-9Gy<(n+Vd`mAR!4*Ljq<%4(r1VH#Km z$pRiz^w`E=s%PhX`RdYMF0NWSQ%X&A5l_+F%sSudGr3>*VxYtu7KntWH|xX(BYUe& zxoM#Kj%Tx2*~$YQ`MCNJX{)+<=vmr)Ao6VN*lp2(+qOz_b@C4Fo_%J+CQ7z;9XpKF zneEp8ic)(VM5lqra$=#m0xS9A-+wk`073YNi-cS&;ie)s5y^UeW)VxbkR7n5IS(^k%+W}dF$<`bt| zLj{gCo(QiQjM)a&P?kvASmeBZO?-|Qe8e9Knna@l(os7>s)@E7N|+|}_n4d5nFa{L z=3x(`u5M6WUvsX(87ATv-Owd*eQm36n`^t8BYQki8ZQ0~`!G)gq@lYX;#IF|?7Y#u z{C3j%MOsf~JH0)lQERhwJJkpN2o>EtG`nR8pT>^3j(tpr^;i46%x(4!s>8B?;MbQ} zsl5~?%awN<>{BzKW$K&5~N_2 zIs#T+NJOh9{{EZ$AI#f}{Vn*-$ru6wOq*|aS=Y4NRXjiKlY34M6h`DPEA$l9ZSiq; zq_5R!+?nm>?+Zy|Hh;|P-~bz^gwJOJ6rYl*k@AnIXY;&VZTz+AnWVA@8CqZOg8B$# zW^C*CtB1JGKIBTn^vs7!+yUPIyZ?4EJ*}=Vyzhs@mhEbFE^bt`_{3S9DPR^Kzmt08 z*tg>|Swt5IsX@p`#|??8tjxbYn@y~--> z6xGsA)3+s>7du!T9D;c*9P@44s-%>_SK+y>z?h|W9i!J)K@+1yqQpDa`0`UJn;{o3 z!;pE(lB3C8LkET#8^3IPNc-#cT~FA$?Ll9#yzwdG%n??zIwg1v-z`x5=c)^_j6up4)rs%82F)fwaR(-*%y0Jt+pyLb?h!0eI0wy&^-tKapoJ$x^Rcb zJoWe(-yjE;gQIgL?S`7x(sYJGcEiQ59_`NYv#ceX&I}u)+E^~VV=L@8ElACk#5!R2 z>w?bd+3FNc{H*!fTCU+`LHS-$*q13a#iiWnSJjp3@fsNJ{dAO2;Vzrnra&Er!FDZr zR1r3KBvjy#a$nsgynRK<@MNLZg{jS^<>&%eG0(90M&H-2%|WoB?3@Cmm)}$3DehfA zM|4TAwfJ`*YK~iucOtv>pIQc7;ku&p((rD?O!oSYy`dTcGj)*1;h9*x^3+Xra8Oujd!Hm1$@YQ5$;~KrC$V`}#5Ag*-KuPak$EHqwVYDy zCRB;*H4%oHp(8}#D3>MeIo9dBY7t`8=nQK z%$K^ROshx7h00pn>hu%mp*mU2L6J?$oDJ67k`U5=OY<^fz1$vfAsPX9 zD@_p&_O=0A{e=G+@prVZa9@qp|4P5kuKUvP+MQ18ukxb%sK;ab16wR3 zc|X*ko7OWgi=ZZUN>^6dV^@@Qq6DvLjZoy4u0t2kq5Bp(N#4ErFL;s~U7fsN+|`wK zM`n~iiE@W-A%Yyv_IqY3%bee&5?qW@S)Xc$CD3v0#(dZdS9azg^Hu-QO*68b)ao0h zn_zOA#F^(Fv6b=U`A)JwZ9|wGhZvH%b2%OokE`Vw+s7a`M}h+>p_^?sP+K45YD)&^ zcx>@h=#+%761y0UMJI&}=T@-4=$%s<2R06Uu%|JMxI$tS$F#KdYul7NhkgQzx-T?c z=J+muycOHr8F{%EA;+1%I`qMmpQ5^9H%zjM4{n-Da5lJ;Gy$`H6r=1+p4O=E##i{< z`pcZJ@Uuc$ii1`s8F^~Z$6)?%`YP8jTEf0cv^sR{8=e<^DU=2wsAGhG=Sg8Nh&&I| z{>8vowKumu#5`8+ zyuXnGXiibGo)|l+wiM&S0as`;!BpjX4HA<0^4A%k=6r1MD<#^ zlzVIjMu)D` za_z>AOkk|aR@e8fFUoNu%qfHQUBYXPXi^EP>Gle<>8bkr^;&3yQq34%Ta&mvcps!Vwbx3;qBKNXZ~z^KjV<($H!rbK!}!Y+Oa9= zHZ1(n`OI6*sl8gHHBWFNnQK&3`>#b%gNX2dASzINB>r9 zS&5jR6LcrZO}R<(!jfeAAS5&V|8>U9g_?)Flm^#FkcFNXQQ^ki)3}qSBdb2Va+vxM zBO|825xN_=Q4*|+{Ol)B*9ta{mb8x`*-_-^Ngfe)37R1Ilz&Z%UOwAuqx$kHz`_`i zP=WVZZ|RM&ON*R1r|^-Gd_TuZOoB_K5q;UZb%@G)z8^&B9EZm|mRAw4e9f_?J#W7wcC*6)V#tR)OTzGYPP$?1OUBVsu|@$8ahsO`;~ zA5H4?cCTD2P3E@Qx?>0)yiMTWm4aqPPbOY|d&*s||JHlo)q!j3rb+yYDh0VgYP1A4 zQ7~Pz_`Zk*VJ)9B+zwu2;X~C(A=NhvN)0%3ps7okp{3d^psfrzp>=m z*xC)~@%EYVAy-G84l80Du$nni&DF6>=6-g{SEs z@ScWVF~uE_gO`^Qv$=8#YMtZBW*^R%*X^wtB5i>a>^g2T$9J(!?B8%DVtl)Ba=p|> zX-y_z$PZBhkf@suVWYKFU;~^1*lg-3xh*0bX3LTM0j>vzcZcs-1vElmvGkqoHOfpK zWj5xC)^^)KixexE*WyPt{D=4v#ZftQk9mLSa)3B^3>q2WtO_nz?2$O$8jPm2BlQ9I z1T(KvsN2sDJD*tQXlB3Huh0vn<;EN4rMEznb?iBq0LocpL4WmCJ{|0jXNMsaU)TLU zUPvke#fi7eEN`(P-cEOu%lnvFNedsdDZzR|rZm_;DhE~m&8ZxrMr~aP7PR0QaUR1j z+wG37t+J$z?niB~c4?b%uAv*#2eXC(yFiUptd}AYTTh5&e4_ntCquY|H?21j2RSu4 z*HR~pqhc162f>Nu?ODAYsUt{lS)AGiBF=@^@|HpZH+b#+yVJk*R!i&K8Uj^=IE`K9 z@it)Ll(f#4P5`Mga!+y;-=u@8Zx-M3RTb;H@b23yWik@A+r&J1Tdq1Z{5e*z(jG4W zU?Z@L@^+_kw^sZDAL|A|c*`?Kg$&$-mAJ{5B#8{QijMoiJ7H33C}&I^%XT|BGo}0v zIPIoggznZbhRDd8w0*f-60a?Vg0*rkAfo-dkGe~oL!BwH#9?(+#3TAmAIb%j3$a|I zDB$o&dx$XC4f#n0;G8)5@3Jqps$W+k;`x)GhmL4ZAK#%#qvRSr|HGgzQ@wbf+Tyh5u^~OFZz5 zoBrVh2WN!~6M=5_r#uy3wK-;HlVvpO8(kle{XOm*g!(XLX2hS=Qr!Z_I@9URsziNh})zv zjHipG6M*Xiytl5B#=eNZBt%IkccEhWVSTxjh0AH9H&=qR;-}~b9||A+&qWN@fe{oK zdLH^>?XD82b4KORPe5-J2kV+fHxy|YvEbCOi0&~}u)k#~G$4=F<_DRQ7N*!Rln+-l zW?A4qH(6wG5Psu<#+A~GV86h>7^J$4oIyYjvBU?9v*t%v|8cOTK`T&G`n=G(`&|On zb!baBqAHz?)2Wn}=%yu|Gf%R5^i3Eh42OY?_&!(tDAfvA*gr5(3oS6mcZ-=;k+3U8Jns@>zEJNb)>DXX?6h+S!u*SK<* z-?M$IG^VlHs7>vbta=B%$z7!#+M5rT2NdBIy=x>Yd4-|r@Y0%8RJp)G)tr0h4VwF{ zt1)xV?apJCE;_Ic_s)Sl9H!c%;l}T9%1Rdr-9219mvN0=p6Yn?4a=iOU+OOzFpKKpI)#Yy3q z+Lk}PNi2ScJ8DLMWS840F5#`ANx-Y_q=bjo4IZq}TXZT-P>^;G{}x^}wpL}22>NkN zs@!gRMeU|J7d2onH*TC~k#88OyuHT^wj6_ z?!5Uc{dz42t=;Hb^fZ3hSbv9|{vs(4#5~~2j1K}+UCPjuXi?P((bGeGF|WCJo*j#U za~Z#Wy|6a$#;JY5z0+9?5%{3N#I$~W8noZFKo86?CE!}8vxMaslfWG+!xSpREId_u z)pPm69=O?2Nmp|XUzmIcz3D?vXQx_yq^?V&+Alu2CcdWUmRDyqLG~*rJ$f44nn?$* zYZ{eN9g11?P-*V}&bJXKd*NAWxxir;_X0ov)#mCNN2crCu&dEGmq-=85hPXD|< z3=3OS(V!l8+9qtFy}z(`jAsT3obJE+i$m%|?n7K$GOYF8hcW%!T*~|1s_YOy&2J7J z`RN^d-lW*fH!;6%l){=ohNZu=-@B03blsin-r1S;Tn9nwU0pf`wKpnyS^b1p6u{_-ajaqc}9; z5N_5=TC4F8E_|YO;Kl+z0GQNh?S1C^?DE^z>AbD01-8otwv1z?R=3`Om$7-%53Ik{M9(>s z{Xj_goHL}MiS@^ug0?d8pO77MFJVq>Y6*AeafhK?JUTnIyE=4Ch`@0-wnEIODazK! zIrm_`3WJ+&$J@|qq#a>Y&|3M*UP94$MHfVmuhpE|CjHTp$)SqMB0s`WpXqaKS6brj z!BL1AUq!iAbEop*l`GFi#dmj~AzMH%GdWt@`pf=jiYmX?TYo#Isik=!{{9=UcqEiZ zb1Z&Q%L|X0YHXHp_z8*74$=YU1dlj4= zMgul+F88 zdXLkI+oQK!{_sybW?q??c_Gw>h&&$4t>o%7T@>hzL{E--{>ETl<<0Oz%r!R@=)x%S zs*v^Dw<&EIHIMT^>CyVJGQi~p^LKW6RJoI^m_yO}`s;O? z`zorcO%6BOBAou78l7T4O~^5KozFx!w>jh1Ss`Zr-(YudAtF(YCUGkTk=2_$$%{R` zrMn6HpZ6k3?D|lry!bfY%w?O3j*sC{(k0$6BFc{I+!njKW*9^3vd+t~WoKD@`lP9Y zY-(vnm6v0j_g)lit|mV6ao>PmA0470S!+ef0E{NSjs`rZDjwfNJqu+2+SG_d#YSS% zAS{%v(9P94wf_$pPIaSDrVtjxkjk(W8o|7X&?{U=AQ#5Vw9}X*&o{kL)y|vDE^tj> zcT88F@lxRgO{lQ0+(vpVid`|g?%22+wIxA zwrh^4C`V=a;5C=B&n{g~;!zK=s2K4HO+~2CTTXdGf=YvUIhD$S$c6XHGlSPMS|IZ$ z)TN00WnJx8Um~azKc3d)nE5)ScBu`;NTu~xqahCI zP*aUTW!*bCvGi#Y2n$`DeDIu`aFlFhuK(BM#*N{l!{tDv=ZtSUm;b4uf-bT&si~!S z`?7MwD!!#U7vjeXG0)@~7!WYg^bL8Tpm=ea%5IN_4dLUHL@-JIy}w8H&Y5Up%-)(4 zJ!z>c2CPEg!|-jydxu|>fsjdFk7=RVy!)oFqnEikzgiQhyglsWt(VoktDWLKm(_*A z|KK4$SrgCZUG1nlkmV^?T>;AK2r`0;oTIHP)W?3Uph?3Ov{^Bb*?a$v#7b@foYzx%76nA^t_dxs1B z$Vfvox=WRfn8@nwY=w^G25YB>dV1BOw-Ar}5_4vA@K*94{Ag)+7MCxg4QZaqHDr0x zqY2kYTCKDv#eIF-mOv}J6NyS3K z`KHVqHMLa|f7cd^J8lCJSw#Eo8Q z{eAF1APfyz_O(Z{vpyY1HuIcC;VqP-(2OacCkOJ>QVCP^EK&h-UEhpI=NzQZIZj0m zF*YJU6SksJSy{cTQCcgJ8v1?A7M?$N8|#N6^iOghl19fNh!rYL@_#Zj7~)xQ{qu0TuKwW3(;JJ{f6(~6#o~ZzB;VR zwfP#wB1BO^Py|7?NJt|gp`zj@rMn~rq&r0sR1jp-4N6FtbeD8UcXxNkHxHio`*B_8 zk0U&F$J{e(X4dlHYny1-y;7Xp*Lm12aFJs8_2FNkB!%qz+9jHKjTsk@y&q3_X$&-o z!LA-w&2ctS?lWRtBPOS6!6J@x=Bx) zg#pM`67qOd;UADlgD-UJH9$2dkNIBi2@6jS=S#xoOgeTW*h}WND?stkk*Fz3V~}Cu zkFOG7)|+x0Qoxk*H^>o8G3K0ARf`P4-|${7&!G3wQX{>Lou3lf#GC_N*vQO z>qJ3y@(Kzrz8w8>hns%F$2;f}F|CW2F-cWvSNLDAIjnRIVj;Fs&dyKIeJkGZJqNj z++(n>%3`V6gR}dni;jL>=?dn&?0dT6?x#incmi>jA)p6{V~sm9Y-h%hHQO_;-o?Ye zI+^n&Vy{+Ltb)?zF*c>F<;fXyD+2t~WR()7B8o%hhylePKTh2aYpb~*US$Fd4xYpn zkryt@@?8{L+|BGi9M{6MCInlw1SX%6@W(ba>f>ZL`)z>AG3bhZ7baFDY?rN@xar9R zNgHjGftSD|L1#9o5JE0dS1Qd|CW^jJb8h-%-S(^t)O=J?!^Vu%V4;a(aL|nx^|3K| zY@%`7u7p)3O+#5(DJeYSu}2E$ki(Ap25n$`t@6Y|()Lu0gkkD*UxD-#z00qiK`jXZ zRoqE=I`smny==AQym$NRE511fy>IKGDX@5E!I|r&mBjB~{7%&8BYQ(n`WJbs9#t93 zR|Z>r6wIUNd?z=j7bUmFn+^Fdm!*uxu9Bj~<}eYA^iQxB7v#?8}RSr-!>TF;BVQwEF6TEIj{KDT_eN!FC+0wK3lDV((OC%W9wg|-#94Fq24Pdeqt5J z*r*2=M`r^COd@gBTvWSbsRNW5gl}_-pND##mrLIV12I%_vF!R~f3Yt-urGgqAxDgi z?d2D(KadSsuenKU)?QsQ*2S+GnxmMlF%ax0j=9H{{c=?9PP}Z6m@s~Bj$W=zQ@N|d z&J^Bn*)D62874M-LH9;f$AWKh>GyrnbWW~GDHwzo>qaALD|^)u{9L;^2SKS7!#Y;z zlC?h??`1RXbFwIo9ZKFw$4f{%cKK;Fy6iqJI@x|bq!~06zx#LQoC86T%TU^f0*jBD z%5|pVVXBf&_9D2OZW~iKUlDtL9d?vPnUuy=*Zb|(;8uP>jOG34Ue%NUZu%TRBao## z2c2m7#I10OI`3_MIE^j9qTjl3wqIw*b-8*7pajt9I^ENooYH~aB6FpRjp2TDPobPbHmH>el zsJ@SE8jAcSPOVdmL4Zw4myd_*7kf_fXKKMeXG#3I{CKL=G{F8jVhy1{I`G%8@;1`* z&Yr~+(_w~}Eq+a>t=%?*-7Fl=OUo=EtNZ87u2v1K)JZW%M%GYFhrkul_vS%L7-LoaS zCS5$e-I2r3>Vw3F5^M&Bmy)n6s?8=o@RfTd(M+BlLx6}UZol>}Z2*Qgv_F?hxiCekp(fiUcs$<1CDB?V{2k+!FG@de3vl;SI-n?`X8C8N9C^4(2@_ea{pPFL~0Q-7lI!?sdlT|h`>9WAX zB%(h0-{2{Z-&xytIvEkcC{_P{UF2qMFl`Wzph^&>O8vO?hypFGv46BaHSLbSldY%w z;5a4w?B!xL9Uzj67*K*!C_lWShd4;&q28f#u5Pn-XRr_8YGnC5Gh&`?lnGpq5Dd%o z5+qrX^m7`6w86Kjjh<#C8O@Pa#pP6X;D8{P@G}0=k=KnTvI-~H9JKS!O=sJV`dXxINK+F90B-YzLdsdgsSyC3cdR6{ni!qlxoI?$a{cysT*zXp~pD z(aWq|r|wRss7QJ6ZY^lQXA?n4zko^gJxyL!|FOB1zW()E^WvV(QC_-#!QMmF-XkjH zeFC?Lmly|9OW(Q{q!cDt1~pFO+SDHqk*()hB#8P5{XIIk*mGpw#SRhi!eC3bmQdZo zWFun`ibr^R)3UFI>x@$5z|`9+Wg@V1;12iRbZx(YHC~ z`{NGs0glH7gUWdg${Yf+&6F;uu}95CzxSvuOCx7OvQA%OLnwZjr(1Fv7s zLU*C|g=c3K(cV)osKi6?=J$ftGdpj`{(Q1`8d_*z9C|1y^(gxy!VX8X(1hRBlk<4Ol+@%kLbfj76FUzNDvv>s?{dlvjia;g7zTf_N`x#D z7cnkbXSPQ=$?)%4iibhdh4*6y%E0tknaDc>Q$q#P%S*0hd;>Oh*%k@fp$2RVT^bLj z=ov7akCidn&kH8&n*1N~@m-bD(H7>9lIeP6cIb7WMNJF# z{)SDrX&)Oa1U%Yx6maKIe3)nb_mBX5MD#AObwxTb@0obbry^=MU$CHS(>42XyEnyF z_*9YnaofuNk@%j)v@mg*zobJECH;|Wt+>tp(oxVu<+Syw#wqYLB9{gXFYkHsE&bMb zfcTRfD8=nfucSyB(k#7m_OeTlCtLessw$#*;o(;=AaliDnbxjqZ!jf&3PD>MG)i~z z#T^V^_&@Zw=+JIMhS|Xzz&Od8LaP|TW9vm3&$2;A!#6*u6UP%MWPj^R)@^fm9EPZw znA)|UpP}FTfp?{~9&%1tgr}$Fh1D?Uhkb?5)6<+~14@MpQW#YSm)=;3EEBggt_@mD z(bLHREp5P5t`&d|uLe`48k!oxH-6khb)rw+_n;mB7hvn&wCyb|%Zj=JM^{J`)upoLD z$xP~cb+wpasi+?fj&x2F4{O5BzXDr8$%8Nc)oSc#bSqPzL=i&VYE@5pBA*=V>n$N#=<@*S{2*#6+ldao)1-j5}A8`2%4 zzh;^n{TvztVTm?2Ufv9CxN=UW`D9n9pzyr=S-BLopT#%Tar;VhIA89qKX}L}8)C+% z&2qMC8yr!3v+?JBQWzaEao>mB=x+ZT5NHP+%{S5=u4gBmEv8e-dXBz+pX~1j!bR*& z48!;Semw&4wgxeA$`6Oe$aK9f^-q-kC^1BTFs(erzad(3us%I?u`D<5ZR%iTYV71W zD1Nmst?p1_F3r0QSEzk|O#N;x}8_?t;7?=5os0g2f!XXV;x7C;W z8JuERqgcoZLiH8cDsB?hhshJYl-&t!Xq7&!^ELnd_8yw<*f!BzuO-DsATpu|;I@(% z7Ti#d%fZdvrc6hxn5#?cS_a3I;jjwEU)?u7qy{g?sGQ(M-}+Wv^g_VZfc9Ve$x)9; z9y_NzD%%a7+@PHf&z}0~jjBc#3&B-nY(KLM8QU4UOW75C>Fl&svJii7T zzx*lN(Q%TRv}>f4ckVkK5u8mGI^|rIz4T%R6XVE36e=e-=RWE@HiL+zB_!nUQ@d>j zXWgf%|C=OhTJ-DqsB1b0SUo4A4Va*WC|iI(*~HrE9@-$PO|56M;AQH#(vn_dAxbRt z0UF78mO#c6M&MsE`|y6*z(aMYnKoO?`t#=%hORqJ7SaqW5f*d;66^aP24atw?P~~b z-LTc%pBmm5F&!!`iBG9_@R%(qw2^P5(W^r?;+8VL=TvlSD%A4|9IyD$S>9|gP~a$? zu#FfPQvob+g%BS2nfeg#4wknh;CLbN_{p-E$>S~g03fXC8kBZT*nmy*u_PYKCXO-J z0-V=$W(h6}cJJCMN=rSX;aTaGY&Izq%Y`NE=cn`KOJZJ+KZ;Hm{KYEMTr1C9Aw!Mn zC#n6}!pH}|yWUTpsf7)X)Q5yEnI9CH^jlYaGEh}`aPpn9-PztAODq638&R^{rzUP9 z+c)abJu>qgJ?8{zO{{Zq)uPmAobf#bkD-OoP-q}mIFg5hxtIx-T^JoK@6_!Rxs&r%985joyi^<;Jieio^cMki>kpR{YCx zNym!=h7Ez3A8y$~cS`+u@r4Ib_GVq4`<4d@^ZuP^XqCxhaDQPiJav8=x0sA;Gz@fSWuAjj8@$_@{I?+tYz5~rueT>@`gK3J6%N- zt!dyyEj4#c&JU}0`)h+YjqQ>UTNf(B!EOKM&9~g{t(`&#>gc^tT}eeg+UC!7-UaC>(b#s#8w{9a!?m zZ+|f)M7V5b8Jm0K=d+LmQKq9qOrWtc9a`82-P2W)E(i5$nyCO)V?CJwBU5hj3epxB ze@?@|A0j1m)}(Z*ySa44rO2!JGu!`$s8@#X8xe9hy&}i+pD?ZR zh9krYY$O`8J8rBhj9}-q#Rx9Pg{u}`$g}uuoZ8*W=MdalJU5`2CGB!FpAKau0hEIG z`oFd9skQ`F&G(-Cf!DyI!iCXT6l!vsYUAXLmEHW&@FW}5=10{RSH*TRKa{Je;sO%rl+^Jm@L#XRNo1dQv%DRubn3tW9 z0B*wpwuLzAenW=R0-w8PPQ&Lf+=B_`oyw5AUb;TeXq?#ywMWxuIO&H8nQls0B0DM+ zX%heCQI;ijeq*LF%iuS4+DJD+w>l<;>U)2x}iiiiIcnVvVE_(>3iAQ*wcGbp% zU!$hH5lU>Ln6h@K*6__tdG-F=zi&0u@Zpx_F-WT3>cPP_oG?4Z#oXNM(=&~x+_JX} zr865}r+YHV%vIWGoAj}A2@zN7y&G0)R$vhdUg&G}Sd(X2frgwwpZKH^f2!GU@7H;LV+1}AZc{hczvF!p5y(O}e?72H3tO1L{ z-M`h444y>32=bk#pJBJYKl@a6tnwsjbgM_Fa0t_tnLpJiVYer#v-@}BVNm({?wIWZH<+I z82p1yqkbfGAhPIx+Z1)fb)9bAe-W2=D)WUX-VpDoZjOY0x`L2VF#YL==uR+QA>B^m_V8FDbpsiw28oh9` z<#yzY-GI#E{ZF;Nyb-#Y5w=Mt#z5+tNasQfQ{n6G>grWucb<3j!||l_y86;%_tEWU z%|0CgC23HiM%e@jZK%(>2_q)N2VN;0omqLtak}!VDBuu=;=(dbi!oiOPl_dR@QSyN zN|I)k&{RX{G)76FWN!4=1QWej5RH$Yfw7V_s|;M zo*0rqm&YsrQRy-+ztvT^xIFV)!qu}}2Ep-(m{$It^s=I-eJ%%KU{=ocyx3Y6vn6r` z_-)0=UdTmZ{~{!kp}S90->5dz4LOLhKJ2nz9Q`%gSE}j|=_E%aaQFb76_@utJ@)xF zbI+&!CAy(F8hQRi4m&7-rFeJnYDPQa`g9U<J20fNdl@xw|L(s@7Cz|;ge{x}GxsnJ8yg@*Pkb5K-=XQ6{!PDN^=aR(dW zUq}Wz65xsB8FRb7iO{kQbWg0!Mmj7@%E<*HwBI|+sld!fQDNZf&c;Ao6KVf7g|=S! zV1lCSF!$tM@mEum6c@o{bNPCxAvN$xEIg_nz)43Qv3QdYm>z%$_^%k}P%OfeMH6oN z0m#=_5LQp15tLO@TDtNL=y8hF?52niBD4ASI8Wdd;`?^zv7EZ&+9&8vyY0?~wav;$ zPISEU4$}X=$%gW1sY>pd2hNkPU{6)5+_^PgnRYX&Q#lEa@n~Wew{OV9Z@H5z2o)g2 zKL`mGht<4{)k3!z!WaS6=Uayxtv!9mQ$gz8Cr2YEZzt<~4WL;!t#seu8!*iI@UGVp zrjcEeJ)V&0KlTU=c}r8}=G^YJjG_^yJt9A>pgg0di(w0_*^$d&QYYKs67;P1y*X2b+C*QFpqPT=#9E zl4K|9>+*`Z90`i>*1JVW=PTpfCW2G$`2JB2UQ5l7g40 z=y~zt1?KF=TRYxJLDTylks}j0+n3gCd9$ADN7S-*tjO0Nh{$j`4Sd((O7Pg)FIm~P?Y}}4^}h#z1Ynye$Ly!nh$1!GoKr%2c(lTt z(}dA!9j!3GR@iuBVMhc5JVtb3_gGh!OzAd)=KLBYe%BYFG5!YVuGc-U6}uIF+cszJ zFkf0GCG&!oN4KJL>@26fT%_!Bu_J6i5IDwo#)A}iPJnG)7g#s@OB`(K)`9UY`30YZ zfryw`7ecZ0^(!ur%hLh75y&${0q5C)y^jUZ^UlYI8RM2R{$uJv_}J+9`H$Pen<%HD zfLmUo2V>M*yi2|KX}2kosAb z6{G?&EU;PelKUWh-;iGE9_XI4Y?!m`Rx-{TxVL>Vd}Idi0?JoqCbM$$KsIaBh0gxq zUEIkQx#F8Q)aW^vV~b$=fkv%7k**!D=0AMW9-f8ju|aYrvB?hVsku1ss#L{$&00q_ zR!{E#f081ixt;%5Ar>CkK+8TtI*8D$dxOFO-*&GS$U$_$8bP6fzw`?$8`~Cey1v4c z9`73>A_GqQn}30z447bS>Q{CaBwY5Txg@ZKSa!No`@y~>soV(;O4VO`gYu@Jm`-ZD zI1;p_o0!=c` zI;D_|OUc!vt*JRcJetu}NTi!q2LL~Tqn%w=jz07`Fv(k%mBJBwAPJ?DA_8TxaRY(E z7}htemR3>8U9^eP3JXZ!ZE6G>yl6<-SnqJDLIEv1manFFk~32F@a*npjW^f{L_J z3#JzoghITC{&g9r(jyDij+t9fL`t@dflIN-w7?G|BOVSXn<`!X(NKDeYS_Fvo@Sj`zwHjd~!)z1T)F52{ zMzV4?JAg~`1B0aG7~_=#Ngz5(;mF<`4&3Q{RGJFO4SoOuz-Q=t2>e?}Q~4;#3wZtS zYm0-4LoN=lBHs;Aqg&EcI~S9ZC-sMTngU`dyC+lsdJ(bxE;7oaPSlbT+JjR6!*pcm zo&>KYo-3!+0(45WJMwCJEGSScj#jYZ-y77?6o4Kt#K#^UI!qG{5jKm{hhus^pr3v) z4mnKTQ^WgTtbpAGRTN)Ixn8^1PaT3S`AwsasVJ+y+<#ucr35kR4!dG6-djA>*yL7}4grCO4-W+DOo8)HOVB0wzV; z5nq}!)#Q`~3+p|iV8i|u{Fyy4RBIR%=552ZI}fWWCWpo9rz@Kqyqf*1=D*iu%tDJu zosJc4_tSI)L&oxjSmwz`#H#}OfRlhA1f!*{A>a{1-&AJ+v^Y3fP|)^}{GmeL6BA=w zX(Z@E4KevrL+v&3bOUmS(L8YD^}hpizVzQBPZWAvF4f<>hUn}3U%n>Un3&uf#;0SQ zW1CE!2%RxdiS4P0^Utx#aDmUgMQvSom550-sTxvlkd0wo#J_EXTkM=Z+`k$)ogT#$ zH7AYuuRFymG&rxjtBNHChNwJ}_I=_)eS3!lbxj5z{qTNt<3QfYi-v=(R_tb#u$*!Ja zsFy>?eelD?aI|V00t0U?x3^t_+Jp*nIq0UIyK;0A4RzW9lW%@FA)_aD6N1(N0F?)U ztjVT_5iKRNGAvv$ZVpHpc!swcO!jm1H>jG`*pxZ1B3GMUg3!B` zOWiCpi^A?X6s@Gx*F))5;tvU)FEP4ebqL&SKINz6m-iC0In~1S5grCVWS1{xyw~~; zDFFoZ@6P8!iA6G)ERzF%MJ*yDgUtD!SlRH%da0V~Q4%z5sK^B&(U$vf@@xObfAl+8 zCvO%afs+)zR^Fffjg0a#t>lu}sU<_j+^I%+zFSL=R5GPa5xouu&FWAtI@Ha#9 za+m(CHB(zyrb3xeY2tsd*^xAuA&HsP?-8e!SEYrzAy^dOG(+P7;7B@un|OBEb%(AZ ze}MC^I-4!Fop3!Kmz8l~V@y&msn8DqTsO-4cS7xF$fMP+`}Iw8m$eVCEyr@wQXmRBWE~P=-IOj(KxInYD>ohf^_P+q8M!v5$T4h zAX=zpV3v2sUTbbK*@U)1OVyDDDEvX%9erw#SO#?v^ZTS4PQB2(Rl0s0EKjo(k?8E& zpKpFOcE9;W)@EhL8UNxXtF`G32>4NNp%;F3C`A(g^Ud$B!|;hc?^~bB($lURE-s*^ z-5d8rt_S1@7RJT#gCUUQxWWc4g3!9dlTgLYLwgi!8ia)Jr(n=$Q^-h6m8^acE;|&K zJlap(I~k&@V%GlV6U4#K4*{aDFkjq$Yto7ST)GGf9g-PR7{9|Y|Gks4_|xgDpMw=Z z8;)!pE(acfx7Q8*#l9jUm|FrTl&9!@mb#y z_X5@Hn)xmy?%^#n@`G|`8#$yrsV_}6n7*nabWkVDTz=9(Dg7;Um~szJA@BXf4|YGvU(7H#NXFR`mw#GuKstr9E_!h>f9sSPUjMrJCW$scl4u#Z~}$ zv%-ZB zFI82Y{aD$qRe%OQ1d|}@OAV70YT9n{BO=6}<3e7q+hf0E zRae7iBSYL*q{!&Sz|R~=g+q^Sz^wqfgr_oDrT;8gemx(P7QkSb2qDbCb%A+kbQHOH^O#{9&S&E6Z^UoOkdo?2y>dZ8 zzYsd!HxH9$wzgW*QRq3AxzKLI(874j%ejfGa-IGEl3F0+2ln#v>w>r009eX^uZp1- z3VS3RVjZ9Yg?Y&Pz!BbkZ-np1HHj|})Pxhv%ocmk)Enn`{DZ@u5S?Yv5Wt;ol|NqO z#*8rCYls6$86p95H~eId!ML%jb>OX13ci~dFaQVJAgG*77a54FZ()%hW$5MlA3E3I zll_{c4XO*oTwBJNUIpk6Y1evBjD6aTIApgT0cnb$=1QOE$d#X;J1Svsj~!bT755bp z4W+}f*>{@=Sj)ROwb%xT=9mV8b|U8^bkr9no`{`x?nx!*%l+ppt}0*3FcqzjVw2Az zY0sd{>7D{%uLhtejZ}9Ds3D3AlsJ@zL>j64Q*a#t!+bcH@fzLxOCQk zM-+8Kz~`W_+ZRKmRT-!4)M15#PUyQ%*SICf*NOcr0yKzE= zMj99q_ZR%f|3alFfQ_7D~U zCFDGnPkS0L?w5U&&N3vvgp_lY49Tr3ll`sLyeo!^+pK8U`u+s)d$)0xs-V3eenw62 zB9DIC{v0jk>}6H4>7d;$iJwQGo-e}pH1s0~A#UJVUDmRO}X<_;#- zs~5WK?IKz_=2FG4l%9HRWF@w^lrD1hXz^sfei%b zp)|m_U79|sz55586adUOluUiitabYrc$fP^eb3$Td?#a|Pm?e)aa4BRBhvFZ?Lrrx zrbU9^f8XuR3=u9NDuF?0$H^%QdKvwx5hf1CCFjKd3#_if0f0p%3`R{d_W`gmSibO~ zXOFIV5BcthJZ2X1{g1X*xeLFIi0k#e}T}^{dzw9#>+@mr+BkMKN zzaF)+tD^PTt80=G^0&=epJ3XNW!)RI!eH*Pdj%hbt>?La=-zaMP(z5-x+o*0p zlH;C%#2z`{&V&V0G>+-yNy|ZEk(BC`{|@rcGVmzxV4Wg3sC0aiE9EJ}YT}U$nq{~C zDW>r6g)~n83L-ZYIs(Hpm!u}2c{ff_glH?tR2(I*rkwSIu&#-X__~(NGaz z#MTq>)3Mk|9Y35iRY0Pg0sbPfD~=oQ<)+eb8BN040{=}{+XI*`(^qzmO5FUbL#6tgF1nO}Y zcR@Dw+@zOZ0AW~+HO>-5rO4lm>I=Rq0(vRNo$|mc(yoD!W2U`})t(aJXFLw~XF6XNu(J2~171TQ8 zS37}YLz-jDOWtSn2voEHa)&^R{fw`9YwwaZDAs1&p%_C_QJj6L*1)CqR;%Kr*gP*9 zu#Nvko9{n^P7aXy|C9KYqUm7o0;*C-zKFSNx}Dz3vX%P&eI$(2Ovgr|r|7_kpOkMb ze3s4rrHhI6EK)6x~mn0Qr_IjJoS|B{@8OY z)vyh~z&U6>Ke=-N@|vKkdMTsrE`09u7cbD5tnBQ7z`#GIm0CzW4!XS`>W!hQAg4sT zh#K-hK>xIG(pR*y`k*1lXJVwUIo_uIfoq%LZ1j6!!gGY)moA_W7(BaQJ} zTTgequb)4EwpD=oif`9lur>Mx2F6UJO|BCr_Oj0^#-8=W@v5j@rM!RFy_V6z%OP~= z=VSm}@LA<5Xm^MPGsko;-DFhxtVyEw_~XP{gHkb-PQ*0@Dx%MgQ*X8^y0}!uu^dxN zy^J4+!ipE|n2jg*7Jm*uxZDwp=IeK~C;Ju4m@X%DSp99$A^Gz*C;=oP!@Y|@t7Exv zAx$dJ1Vro5Xtdj>PZ1q^4TbRQP#{xx;K3(MkE3*>B6==tj7yPr@SUiho}^#@K~Gm9 z!F#$2SzfXbPLhxPuyN z4u>}EY{#lnUa7fuWnfn7b}SWO&Zx|+N%EZ=NcKA zXxO87!JH;)Una-}+}fD&`FBULjq}GYoW;gYRL*0B98!tH!J6PY|K8;F%BrdmK8Hsj zYD>+<6->@&@Bb>F=*A7xlcSyMj@egQmuR-rThXD+ znrC4_pwcp7zr$|`;W41(2vq1dqa4=()brM94&_*mG=cxCpBsMUiz@^x(tPnr_nF9} zBgNyQ?K16~+R~3x9xo|N37;}pK;b| zn6a=A9T}?Kb}=FHVYf;uy-575&50=gfd7iHT$bCtH0-R*U3xKfr0&h;Kq>X8ti^qL^o%NN?S zbtM?w*SnEL7^F1j^?{}%>E$_zlbkm6{1<|xV^sWPlhwAySJ+pNl3U<8Rb^c zQ|U)@)N*VK&o7@?a?f#}M|tm5ImxT6?nZ(3I>=H@JCl==qCwYquoV%p0fnO5Nb(m5 zJk1&=Ky1_tglWz&J0IE(J8p;pZSfTlkuz)Gwl0c*q?%Nb^*b#1(+aj$-ihJkZeP}lkz)o$sJV?syXMoHqvRtvC zGin@i%2ObYGX@G+<`jmjqZNbJ1Mik+2J%b_}o;c^1@`_vbVeBme&>aZ~T{W)_nv+cq!pI{drpADJOi@&&vt7)CgKb)< z605DgZ+;a-Ul`YT+1UI*WCdhi1YvjK5D@4>!dq|Awd?oWztvCS$Iac{9NtAb_X<9~ zC5;0XoqQU!v<3#gG&g63Jz-^%rj^Tbm2X&FIMuRs zFSqh;;8#>sEKh;LA~nqT;^Lxo=>I=H*Uy`?}4OQ@M9as^x}0~=n`#U^>(Z|cGJ9R0mySp*X|%FtW8GdJx(y}~1eacctx_nqWdVhtLI($3 z-TSbx7O9JAr$ z-+h?yo`!xL_^tenDsO*xfsPSv-z$+;mc?!09n{o5WHrAl4-`G zMb`VG!B4;<_5FT(orQ&k=64iq7-V;VRx=?8HtKGnYUzDONsRO(tC}0@jaKrh)=2b~uE z&6SZTC_`8S-7vyi2KUKq7JDlYg-t}1?sc3n5l~}S2R>9L0kf*n(x0zYOCXo7CI(jF z5)Mv9YwHTHI;HQrATn+sE%gm(p8Y@;^Bd^FA>#)}<=*U1AMt)?$TnNfwz*b(yy*A+ zdpSpsN>%jJk1f51B8(+D9^LD8KZJq{wC*#iSf+IQ%0Dg<&YsoP8&*X8mSU*`9!ak< zN?-d-O0b={;fz@uci2)gYxY3jMwMSmq0E`0z@e1hD#j2sEGwNz}W*T z-d90QI1Z#-&Rx9N0RwtX@B|CQ<(_G4Q^S^d1NH-zYqc^QLCU7f3^I!#nOp@mJS_|9 zW#Zp%akS6{f=0?ZNR@j4wYLYz93wlyKbVDunfW^$5$);f0`pzTwNTtp19HxdAUARO z2?)_6$6mx^oBKRGq4j<=Q4`5jQv9T8*>|2W=)81x=67{Nb2a{A=f>>u12S)(V zGcUV2-4_e3E<4_00$FoGa7Ow{ogPEo!JWK8bG(xsmlK=zjmfF00z9e@+(j=P9eF*j zP*|VjR1Cz%laKiv51r9pn-cx;Q+)B;bTj|af%NoZB=!^3i7>tiugaHXPlmj^K?5_x z;`a7De(6!7pItsD2x3^vjq})SmQ~=)v3_>>im%^azI%EiJ6<;R&CNO>XS}?AXXf7H z^!E!V+5Tq}JmvQ}<6b!Ko}aS=|GloR?k+WTtV&=gh*N`@d@z{F%xa@g=F7!%k;wHR z7YUXkYLz1}GE!Vd<_4(DsvU64wD`DR4b*~{|1)NK_4aM$H%>-I47WLrdFS{)Uc535 zl}0L{)swHnh>MH6J0oyn*Dy&`4&Fg4I1myF0x(aouv%BB7%_|CM!01l$+3y&dS;k( zCXuX8;EBB&&zIci{XG3yCVTwbnXMg~0fyE=5t~hxSk93rY>xyfuElOnw?r(=U5)kn z-`B3Ltx+;EdN(ySu@SQg_^A|O3()T>ULOBQ$;LKu_Ql(Vy8MjV4Sy)o$=0Yi%VRnF zL`{txM78)qnmQUt&A~Tu;3+n*xxE~6c<2ZkVY{%59>7m#>aLfs6o2AHIqqDS6Xztk z)Q0vrk+(f*`rUq@GUNuaSte+-U*A^DH>Cvn^y?sQNd~Hrq{?~5Qy^h73g^-!=sI%E z*>z$sjEgjjpg5QU+}h4zg)`C=u~`>IHP$4ME0{BOvOQ}FTqfmKF4QY-{Iuw5m1!$& z5{jn@bBIsQ8w|q46Xpf_?XftZAUczjoVISMKjqFj#5V6Ln~A&~F%i+HE&~)dcR}_3 z9F2$e9rP&Gpn@u>>-e{9Y9caOq)j;W?5 zq;CW@*Usmd6{;{2FDur~+~%jLBd(^uqh8T!P}*%p-?e3AO5{~#n(v}9;8?sfOuRDL zJaVPx@m!>DcAUeX$6RF7D|p17Qz^RXMgF*WsW<;9c6a@f{0K!rn(&q9|7^orJ&0k~8k5j&~ zF9{1>rj{BopazBPVKeu0~=hv9m zTSssD25=tNN4a;JCex3C;$PbvKV^(M+9H);u=^l!vfo+4Un%gco*tQruPu?-D^~0` z9lR5M5)!U)p)!iwKn*NWKAjwN1E~31va z46*y}Sps}for{i#DHp60JpC6BJ;@vQs}}Zlm`3e(d)FiF*Zlycd*lU;o|_34r}~-N?vXF9}&M*s(R|2!=uSK!S-9GJWTzG;P{I9kn@Qb zz60fPcrO@=*7@MZAf}nLqGdX(15mNWU@%}(>J=k|T3RbV;j!RX4ZVF<9hP_@@TO9! zBR2$K!#E4DJsVuHFY;cM+-u7hevqT}q3^r@QE{=XkH}?2tZ(8&5 zb@Ie{fgw0G=6cd89CnuDKpGL1i-=GEHXaHEZ!ofp<>$|ztw|+d-x!wfDEu3bbbbTl0bczEJ`=TqXS`66kraZUu;}3MNB}!zc@Uc zC{2Tee|5h1zI^@q1BQf#Pu#$O&RsKKPlIXEirwYdQ7O+@Ohe-?;=y*ri=p1wgU;;d zFJCCBsog-lijfMNFy4{rh~ZsFfh=LUoWg?Tq`+-QSk!(+Wz z2fGt8t|R%NI?9ay(SB?GFR%%f?v8t2n>iTwWFq0UT}2g@B3g$`pc;+X42UyM?>IWD z0W$O<{7yVr;1g3p5Dd!56X7kC=Ct~kVs6@lt2#GQCIHdT<31^}ULpZm z_=GC@jsBi5Kb-X+mXdBWkn+3!wx52HrmsZdSraXNq_5QdIoj&mr5({vj6sb@`M(Kt zDJG9{RBk)=5i5~R3RDc@!4P$4Ur z-oB??QJ&(NWAmvmO&HH&AlCJJnB2OpO_UQ;DnJ?$fE$It@cxCBUrxr~3x2sl=dTKg zrU&1xK-{F;8rcjbzHbL|mq5(PWSAF3t?L&1vJ<7^aIp}F2zC+Q6hCMkKLXiWjlme|jXI_KoGAQ+;Y{DwlgyH~*@DR%(NcDLPD^>KlB4=0=E4iu%!S-W5M1GWw^ll zvQxHESZaYN7K1RZ5O`b&0Ap_A>E(6qE|mYSuC8wI_|(ZU3cy$97o@J42!AT!1EtWg3Ox=d#Ppe)8$fLrpVf zOVyHJDL;t^`9ZW=U3T**EXSkgO?Gb`ZQJkK(;30-6DogO+awp^rFlOy%SUBZnp3~+ zJrqQ5K*ju-466k>VkWgF_+&FKGG0(TM?!Z%u1rmtv-MgL+%Jx28)B%>K0Y=y=~%Ex zZTg+MQxvN{oX5LFKw!;u`Bv~x5->2+#yx-+W|zq1ja!ufl!IRmvErF*q4u@}>dDMG3!vKosafVPXV5?3oL{POZdR5*zcJD=&0< zdsyUv{X_6jyx&^l4>ak$~h+Cgq1d-J)k76I3#;Ld4VJv@=u-QF0a74^a?Cn(NKHhxisI z#cLNpvi>eu{pjespnisSc0NA;cxMgj(dUMWIN@)`aRzYx#L978M)MS!_;1yCJR=U& z<&JFDwGdz=GaKXe>?0RA-qk`Riy=_00R?cxT?_#<2{s2epy`%#?VkYiFx#67Vtd<8 z4F*4QqqKA)VA_5qe}bUUW~Bv?q`Gi!3)|zp8IS>$FMyy_*eR827;ur|HgJVsDk=5j zEPxF8psK=DyS@s_OUS;Hro5-YJr;jCs`#tUfW)C^&!Osuo#on3WVBq81#GB?EBuxs zW!8lek5e@Fy)+Ylt!|*F;RQ)6Pxo`TJ~d`uEOu2GJ~K#T_h@#7#c zJpsUYEi--~gJR`Yk9sRK6Nv&Q`b##M7#dR;x6A-^u8ZVz5Z-)Ew-{nc_fR=^5`DkK(zm*au;8%{V#L(l2d+a{5NA%dsEaI}{olfGlq!?SxDS?#CR%ecX!VVPM@*Jk8T85wBgm+va1$FQ{#t`q-12kdV~!~ z1wQ0wmPzO4yHgtn3oH~1EoosKM&UrX57Ap^Ei5bgt@*AAh-Q!+0E1d_a4qym{XQ6U zSSg7GxLm*OE{JKjz^)61q($D4^}t)dhk)uK5Mc3YC7w}lhASA;H2?~Oc)FkM4B1dn zIPX$IqKFp!&M{awTJVhJ*0&J+YBUA29KtLihdsB&bOxwUU$e@9E-R6jFE79jyaG4~ zBa7R*O8SZ|f@t#dM4Exe=98}w3k~Yt3I*mUJYojZTE(9)FM}Te zb412tS*JQ7Qhj^wdhX4)e}9~ZYpa>@k=81uT%$R)P!7XCkUl_zU&41s_tTA=)2*II zVdhR28y+orhSn_m9wEz1m+3jQ4~Zu1Vw>+hKmXj0P81n$+64nEH?`|`<9)dYqO;4% z9+3=?*q0a^mwk4Jo%;8u5MW6~kH^+w96GXeL|})ACx}OU_VoNI5ycZ-3NgZ5N%;=ViX2fVwz<>uBF0~{&0qy6GiN2fI4`{BJ-(sFXw zZ{P0f9FOYyEp?#wyYlK-{9bsjf2QWQt^;|k(op_mm+(G+jN{H_y9uuecI~edyeK@> zmHkddPz!cbM^#^+d+i`}gBcU*JszXB1VAzj3ugXNZ~u`Pauycs2)hEoY~^l)U~{|I zi9I)|n(K(qOLGqCcGjd$8DO&F;^K_LZj#LPWL$+1=K_%{hHyG$1%!BTm$(M*_o@rBBOIVwUe2|w+ zymn}=qTt7jq`+xUJ#>w)dqt?+06sHCd3IspNYGgRfHIJ-!upX(!EmI^u_ao#7xXh_ zHCbK9D{0-ofCy}bB^RN7dntFK3Rg_+1pR?c5QfzwNq%g8iiclseQ-??6xmzWx$C#f zRq_BcRTcNIRo-dBo$1FITe%k#7+=GU?+xVxH&hxZ8=Dj$-aC^NRAtCXh?Fpz@pw)C zyoTcaNv`1|1wW*bHGcP+qvMq+3*rX2_>bA^YilzWW~1l zwbvLqvGK@`A0N<`*>=k@gs7qsu=;KEd?mXbM8s5C)fBl|xV8}0IyGg=@(ejy0H*OI zAZaK9`-HyRAb$Kfo;(OdUe0&9UsRs9jf_XtPLWM1fhvT?-&O2cU~MjQUQS?IY}~Wr z-O&U6?^#35CvKzl@vVM+QBl>`MJW}T7@&QtM7KD)^iE-?(Tyz%Ppqnn0udf`qX2;Jq}YGq3ZIo zR9V)y8eAY}vHf?mxN^MNWnCaY7VphOnt*~1`2%wd5i~(o-m-dO5Q&BNgkQnnXG|=b z6~$U-g&=;cXcPhS)ogXMp^+*37>kp?f(%)>KD&by1MKKvo@7uNv)Y(Qe{UwOM8Na! zTXGYD0r&!SI@Cc-APt4Fs)mGz|lC8pAV0}@x4&`Y2Ktq-W;pW`m{D&GjIN%462;v~u0arqSxB3mE zt5cVg38P`5G&PH{it(ekK6vtAhiH6QoVRL|k(9)MTIHtQ0kB2Dt^g-Oe(U=WGr)Yn z5vd>w)R{q*$?}Np_uzD3Ey5 zy5P`QD!|^>)0-8$7%vhK6vPCG2Z(pgA2wux=Wz)Lu-e4w7*S%OP%Q!;ngFg;NY7PG z?ej6Ewddcrm1Jq8lDTnCio8EH`M%e^3nG8^HH+w5W=gxO*237LzFzl=@=9dcTV7`+ zjsd|_ic$7D*dEHkyW!c<(Q$DR#F1%>MN~0D4|iJwGXZd)&5o*~qN1+8UaM=gxtTky zTUJw(N=z&~GcC8&aU}zROBc= zwi6Pg301=)=9ed;+#kBkgcV#0W7HQvvhNoomy%%ixxjIN*_}VS!chpeeCgQiyMO>2 z4m~|R3g2IC@~erO&95gD0#mEr(c|7TN# zb>SY=0@4p3-hhoQ8^-cG-&7UajAhF!JLjkNW@D2e4V*i7t|MKYrvl!RO*#=H?k)yG zF(W83fJSmnIvHO@{wdS;)msA;{7H?RhNcZRAx4zT`Ee-M6oyOe)^~Q2;FY8Du(r58L`jI>YZQe z%kc)i5%Lr*g7J_ns2?P1|7+WMdujX^YZmyY84=}ccW*Cjf1rv=-ob^ad}7t7vEF`u zpXS$7u-}8pC&s7~IdiKiK))Bg06v7P!AY65*n|w-vgbG^5BMG8P}JgTN2=jLyr?3n^91 zRC2e?Ay#G!FT3RLvHsckbAE@&XyCiaVfGQue$TSp>OgtBgQj~do=(I*^QudN)l-&}rL20Go|K$nE`agL>aFaR@%PXLC)^y$K2F3y@=AbU5+}~MMfL)TZ zJz8SN+TY*L5b_FbZ*MQp`1eF;uSzk>0F97FL>jPF``(sN^rJ{Vm{=Woaq+E=TwGKX zRc6_SEH)91=5y)Ue$7aKenpJtfI~QlY(SwxrsM{n!p7z%yepmzAp^mIV7t)u27;=B zpZfPV7ilN^N9g4nzU$oj<_A0s2072kLjYNjs)Iv7^6FpvWhnygdd8dc*81>M_3Aljzs7 z5)VHY`rN|dDL!d_I@Fs;2&j46))*;+Q88l6>+{To>I9~5W>1#4b-tT_`5Bl;jiyYL z(MDir@l_#OOzmAr`QOo%jcp&If=dWR0Eci$Y84ohe&EFz-qQg=2FnXjcO|BNc-#u9 zF~0Cyu2>jRU;~l;6(}IYh6u3B+p=QM*N?_&?%e_Z%dYdF1lX^RxYm3q$$k8#msLop z%$VewbBCl11QB`f?APaU?lYW zrfhzX{Wfshp_P^5@X*KKvSxmT6m$rzF9@K{0M&kX#x>ouRnL$uWcf=^YS3T}nJoTMY{_7MU@so7*Q(!E42} zpcQr>^4uQeY=kp{R9Hu<5LLj`U5|pmxeiG@BUO!0Ul5lu4$~M_@xMD@m z+jZfu-koyvaNC(B9!D_kz~X*&J=jJR)s^8=K>E#cG!6fgd*s#OQEQ#HvGL8y!wo!` zl9HfZ?j!={yD~^rn$FAlkT_es7761r z0X&J)wzju9%Ks{*=wJqK8Wgn|qUC5R!xlrHAbj0NSQ2tCT){h${Wjn2;I zgfjd*0l}870F&L{4l$L#tJp=x$J1=_ti5Zt(oFeI3M`eD;x)sn-9qD8H&G_j1Jr-r zUonGiqs66&mCiF&fziki5}Ke5Biz2ovX0_C+<)qQDG=Z#Mr0f@Xo6SIu+-v9ty%WN zW0N3-^__L2{h4_I>ypKi7`*?&?P_e(S>oOxnSjv_pMulF2)Nmh)m0NdwfOh)&n{VLt6~D7V|MI|2|o3k2U%yaKQ)1w*9>-m3MlGwb63MPG@xH|Fyg?9upY zs(7R65HMeY#KUZf`|$~Y7$&pLzX?(!#=sK+Pwoc`1mJ0wCZF43ZA|V*WzrEiP2wP? zE2k>Ifla;!+l}XW-FXE+2Grxw%24MkpT2zgg;=9tV>-ePMzjNj-l5>~%Bt9Z3(>?; z=Adm((Z#Rf(Dldi42^CsE~S(B#UJQ&wJpJlqoKNHzaB<^dEB&4Ojp_039X?V40Q#+x<0!8K z6(Je?VxR=>SS3s_mq$J|ob5PlXp zEp2-UgPce~WfCIbmBBwi0!)P{60vcRfz}89D5!QI-yj9vDUdMz<;KyMBbTxlOqJ%sHK62+^p}$G zvS2w1iJYz@@Cx#fV=jW*Sw)2mA+=YAA^>AY%SQ`6hN4Bmk5L;;bD5UfVfVwN9Ibm8 zspOf0B`RVF<^FStNLns~V1oQ4uxgG%mzb|F{PbP>`KVPeBtpTzQqZoTd755$RN_Ny zMcF@(h>Ict8wWzXu{tss-D+(2gUWumeb!u{QB)`W#qh{&qWcU;-h#|Ee$$gdDNrDq z-R)U;-S2c4nge@k9kxNA&iRcquR45a7AWIjRNZqfic$XHOaguD;<0A&?X|wbMS-Y@ z+4+vs#bgt(vFZPvB`&;rsWP&b_~G&Bcn)z!0@wsP6dHREwtKI}JJ?>*7x0W>t8a zS`JVBnfu$Hd;t=NsMBAtg20F_eF|(aYm27o|2KM`oSc-Am5ql&-pG!om=g>Dh>Mt` ze=pFzvYnrf@v=8GBTOqN?Q@m6J+XOt4<|V0NmVY-@ywksJ11MGoe1n1kPr~h8TeP7 zYYL!L{@jzH(FsQ*SI7{;8rb8EEF9h;Vm&({ZLCeK|4ni6lc=4HImi@X)h~T9TS~lI zs4OB2UR?dBwU`dY?mSMw40!OZ*ZJ%@3*A7ris1WiPrjpU2l75zM)D#5uDxcnz0e&n zH)jlv{f`$Hd3bmt_{=H62CmofRYE!ASr{api=?CxB90p-L5_#SHOR5-eyTdYx~lN) z{(JD{TD;k2x~f#*cI1>v%a`H`Ji{1WA!tw({ z0!QK8Tc?ATSn*i6Q&I{FY2b&zQTpV~XBdkn2$ep#DaQkaSH?h8O9cPH$};>&!vE9R zubQ%h13-+(xG$Ryu>yb)cXBu@&Q!*T*hLY;A%J1P$?K34iwD6WKlN_4waM3p58OmR zx(^&3?$W(RoUiZ=;Oy-zFxNl|y>yjDX1_xNBO@C~hJWIua9(kw{?Qx+A_wXyCiu13 z*XZdnz#GqJ)+f_`{c zwg6O$NaT>%Kq3!@vL)6&wyR4Sv2lW%R}Df9XhQUYf)VJL*rCQd01hS=7n>oveHO5u zP}kZ42>KIp?60?%S;6Kvj`Uhso=W2U7E}l_hWSTKV6>S9xN2v~0rWhu`?io<0JCkt zN+Pto9>x8XZ4NVdV~hgA$HGEX?XFKcPP}2-g;Gwz-v)}vbnWslaQ?VJT>;-BT4QUg zXx7fmi$9&6NHGSPB3-jM1c>!d()QFG;9#;CE*ZBKLiD-u@$tk8K2ASU`B*V(4@g15 zp`mr)rL=Bam)lD`c7mpxaiY#c3??WH8@Hv@H6tk+s8zdadLI;h> z_L6(}U$v|=DEug7M;X|qoK8YQ70n%%w_3qa=I&mTS$X`fA%8d4HR}NG>;JE2E^gkM z2vS)j*{x?tBf?GzxT5{R69l{MA-IvzkhBC9N=RudRBUptt&rBgfh`?P|x#|Has3ges`w=>bxy;(GTTek@!n*_N)*fJRM-WAd;Kgaf%SgEjjtrbC z&^Anlinsu_Cj!R-hkL7RB=RHD>;P5q@xf}TvjUv1_c$~TW3LNv2&r_(syw?gG{PaS zjXN)iu`eTdn3J3PqQ~dY6g9QA?aUU;C!tjrQ*_y|^U`Um;VB&Et)N{E;dV%HcAdB` zr}OO&613aeGU@nZQ5tueKh=qDyRXd7^SIRof0C6zabq<#Q8^vir3VKmJUaPOMsPLd zaEWK707xVpBd7asCcC4KyVVtWgbBKyC6380T6}ZU@+z_rh428S?BNa(Z9g? z-q_yG#KDo(#hVG6@s5j2nXn^PN2XS3=L#GKN~jL*SXr%I01xrtjJz&*2o~5feYVJWzS)Mgn4XPw$G-O8Z4Y1wz7M4mH0*dB2pA2Bv$6)jr?^~ptyao5 zSDSTR#bxvn_9vyb>B`RsYSPE=05)$&Gs9Haw zS#U^CM!y;vhrobzJt9XGF~opb#T#*Je*P>CHlyng0?U%`bwY6e-(_BEsf7i|i&ofIff7L>2LN4jMr&`wjDw_bZy zmVC~^g3qB72RCV>;*N`O3zRKja2xDVmH#LWV`Yt-Z6evmfFebC5caP~dDi35I$*Cc+8~ZcOF}HFzAvplE~D zsTEMONmuf3K`o8(4k^Fd$En*&Tq$esrLoAaOf~2B^6NDkbmvfH?-=v-1SnD{!!b*U z&)q$UMKPzlKfSr^M=O1>q5w>$OTuE$lG$YWj;@k5X4q5>x2kz!nE9fH#hj!j=^ z=h}H_1vIq*G`z5Bm4pIDvx1`TV^oyp!X)geFhpjB#)==v83JDm!d?!zu9WX+D=8@< z1RuB`jo?tV#E3>hpTlyVOrVDc8hhm-O50%^3rP#{_W}^xg&ehM9ALR1=q39AO@^UR zO00plmSeyC>=jWmBJn~;mfOKHKYVFDST6d07zC6O_C##sO(R(GHmn*brG!|O8< z);0_3jg(2YR_D${IdZX+LmTAk;D{n&PhpVsB{VV!M9V`5Cp&Tx0G%9x)J$(?-b5ILIwmu*)^hP84R;2||v)Z`@O!Zq`>h6 zC-{bl$dKs6HDxeYU58wXXc6#Vr$9GiwM+Lw+PUEJDR^IAf@OWt5J(L+!WJ!Zmj7c@ zhF0nk`U-elkQPoc@W?=whZt|5H}C=ga5lTBL`O?-8c4yfn(s~{M~*U-h1TRT;t?Gk zif+5(I7rhAs2-;oA9gZGCaPW7+*|qx095>ZST+JoR^05Xj4 z%JNjE@|BBKoW_t-P+$T^DlhN0q?D8>b(>70A(dg@6nl}?y533g-FrVBg>GbRu7^-l zNjFbdq%B@tO8Wh?*dFI-R7(~VJ|5Z?S?RIj6T2rYgr&o60AYdnH+r*wnLa7r`95O( zUxjw8W`MQH>bWz_;&ZW0znPy@KPT=fEi7Gge$R32S3f%XP+L&zE7`}COY$H6oTh*DNt8Sjt;-rZc)}6N2ex=nJ*p%t=f@h-ydf6$w($a?!PGh+ zwMzn;X2PLOh(gQ3SJ$bBD72x@K26L<7AtQCEy~uF{GRARX~_fKKu{3}cE2nTh07H{vt#FXeSsIs}Ro+AXrB*GZX{L zMQQ~R>QBm63!V)0OiwxZUh`YLtkw{>G-&Fnb@{s}-?Jn$S#7a(9$JFPnpjn6 zo!4;`dWXvj+7#5zj%Mx(&Qrk;9N-_1c)cV5EHr_#EJ9mV7lWVRZfxq=2JH_G7W46? zRmYYFa_^_*3v`kG!=LPQ4B2<5^6+cFKKS^njPI*pH$4VLA0tiLbltqo8Q8qbPDVg? zDOgFyA9vz?BGC!sqdAyE=9K5&G29f?q!Hd?>>eRq|f+^?d5g%9~!CDxcS+2(@H zrJ$=0W6j-%#jN$-kCBJrfD_r8PWmM}dU;&>?ysbptc;p0-W0ViOu4&lG8UfRYiL)6 z360kO?zndr8a%ZqF2fd6nXZQmNq7!S-D^KTo3$|sG@v}V@K;&N$83d~pzz@5Cl9z+ zS=bceSSt!$C5<4`j8%KXhxPNHiC*+`_yhq3CI4LN$Z`6oq08T zLfzlh^EpR8SNc4{;fC9MI^=GrHP9QlVe0_Di#|L`k3u<9GXg5MCHqpCf95%Cfix74 zgMjphla2YZWwDVNU!;@vQ!7A@jgE+=7#b4GZkv)ue&pG;Yu1BD12-<2`z%9yPjB#L zKJ;IER904AR8wLpF{;ymbWTrx*DP6_V_R-&@#(=_cixYrS_JYS?8@Dz2Y08u)^naw zbO^=V(c$4=K@~fguNab<{cWQpMlKMUEdX?mzvgYZ0vf&QpWbYJ4j=NJJBv#7ZylPC z^oD7}*TbK(Na!+cyw_P_&w!nu5m@ixcs0b)c;TfzP1}D_2ueRsujYOIbI#o#3nINt z!T#5DwiBk-pq6TR7W=w+`roR+m)<}9sMd2>yOI>FjF)$HUllnRRr84*+W95bo?>ar;*eSFzMz}+9s1u&wn_(sDyWlB(F${Ux25=EhE+1u9l((6J8MY zin=M@>BTi)JqJ#qvz1s^L5^0q=K56k%JqJc+ja!)ZGCr~GKbGLB<#sTn5A%69bXuFn~IdB&g(v#qF%2zIQC+$5c%%vpJSMTn2j$vC@Dl`i!K{%z| z^`nM*tueP}j-!|6ktYs+>hO%oBuUm;pafNdm;k~{l1|#o7{Ui<|96=OJQ4ri6f%;= z^5{j~dZ*(xt>MW95eFV9@;U_rnEitL6S2s0$fS>XE+rT zTbbrc5hYyJFJ>-ty3JsZXym;=#7O$DryzG1xmG7@z2maJN@mw*%2>KT2X4^py(9pP z{cpws6pXmAfu$pKbDvST-Fpf zbH#5;9}f1AkaqZSy5)Eg4Lsf6!DptNMxXCstO>;n;G@2gRn;^oZaF>OAKBQ(0mSmz zV?cQ#+i<$3F>|XZ-xY%llgv`E1yd)}aIqR6n9j2gk$WH)%&x|UeWdYp(#P%58^ZO; zJI~m^eb1N%R`qs*;^_lPc=rUh(62CG;P@uL&*Y_PUGVFy#|e0qZEyMIzZP@ztNQtS z2}2jw3%O%zR%6g~LowI8L0 zs)c_tHyWSu{%i3JE1-T&@x{OUD1hA=j9Wd8THh~gJuF_l+5GDJnpNTc-E(_RXMMgv zI%9QLg}iN=PB7G_X+_y&-^c=sO(#hcLr0waC1?dlvdl4uYL1gaYLe8y6Q~3X9ZSq| zK=z~ZFh3#&9{TC?=%d4!CyRK4nz#r}{qG`^{6U+stj_EDy_U~}r#;@)9lv_RCC z#Itp&i)4lyYTmxbsej{>)YV2_{J>}FMP?Eo4#`_6Qf{bVDV8f;%OWs_{AyjK$!S-w zeZ0D8m+)fRS?KoJCWcW2*$ER?LgT%?bR49rR#barcVFo~(mGsVm5 z%~TV8{Jg{D##5bscfBWIWEzDr9ec|i)2PQ|wtBfNacA3L;?~~_85j=06-!G?S3#>c zAg^~|Zk`M^7q(k?4K09dP@@eqyxXO362p)e-rYslExOh>U)R|F`kQd;GM3=XiISc& zA>LON+w6nApv4e}skHnXiPH|8EN8dLEPo*#Wq}ML`P(5SveoqjA!mR(LmK`;<8}D6 zjZkWc&(;9CJix#NMafS&s=a%}h{gM6BW9IB6RvWlf zV5bVtz~OP!-FWHN@6uS_I&T~NarIgf8uX?GKJghnOY-bj82&Fk(_(IebAaSY@+|gsa9)%sVGE~#vo*I&NZ>Lhp z1`by@=kl*_w`-^s&0l-vQs6cGAXlczFZf9>YO%pR8)mgA__3WnIVHMeY!$&zv9aw) zBLbAyLyKU;hQ{e>;CNWOxsVy|7A5nHUS3}E{frzOL1kqkJDXqyMFVBmzVwLdTcyA| z`yIV#L0oRau|?bG4OIs1)nVc2)j0w}VsC?g5a=IBQa$DHtJz)dA0r*hjAoctEvod% zDZjcl{kHs}PH|Ay@ldlnnMG~y%WBS+ba#)|8s7xlpDyKrMp>59rO(1ds0$oYYF0f* zw#yaE!p~fyQ)Y<%^i*Z#ie->OTkJTh_%`A9sDVm%aVRDYpz9nathbdP!}JQh-|_d@ zGz!25eF6|g)4tyT{`L;|k(eLD(EQ$d)>{m|cv$Q9BMkPCw|eVBE0MZ|#0VJXbuQFxFyTVcfN# z-FK_im11o({F84jlkTbr7P{#OecVp3fpeA}O9ah|z_&_DN@YJ|+a07%m=%^b9*JUn zTE4DLu8=#p3@+AiU?qVV5upwYMK3WrTirx}7b@z-Mz{|!WcCuz{g17}rIsMa=(z1M zz&wqXEA5lBvwq+lxUh)y2D^FNT-yCn+fL*cMD!`OHD@n|qEbVR4S)Y)kJ|-zcOpN2 z{fM0#%Bh&Q{3L6_bRP>AZ`>3eebadXN@EDcp-V1kON8WmggD1yDt}OT((SLDmdn{k zsv|3D-@f{D)~+6PYnTUBP<9lvKGQc<(~-1-YU%9_2VB7gy>2@~Nu5m~a?9Z}i$s9R z3Oqyuzyg0upTroMCXJilZ*F8 z@LU0Y05I{B4O5OPdF^q&Xo;OCxEpozwW{BM*4u(4CeP0C;@v5)muEvVs9FmqQ9}N& zmg0O(#nJijpiasg!ayw(ZcsV3{|g|D1axe(paeHU>k86pBxp5;)*8ug1kNiMV1$tk zJw$8`1nz?{xT5lSpB20w>vtOsyxl4Ct`KHeuu_W6+18~09?O;rh>Tm|)qTp}^P}ZC zS5cC_`SEI`9aT#sQ^&M->-4q8UfGyhAH7!>Y37>yR!_b=PpVmfuIO2@U%+x2I#6-* zA62k8K`TYZ)BG_9=|V(L3&Q5_snA4ak-hK=a+DGsKLJ_!Id?bQRvf9Ln6Ynkh6Ydn z4R$DWA8F~Kc6*^)-@bA!=OsmLR&vwK6uz6<$GWA;5cOi=F!FuIi=+#y^Vw&&{_8Rn zTI``~3!DzPX1nMr3SKQQcDL-*wghiqJxAc|-EQ)>KA`s{l=m}XM`~*u4uL|4DV;lZ z13hWJ_0Ky}-0+u8A8_f7ki|>6yus~pK8t{;ILMtSx_*qW^JvDlqGnO(X-rZ*bZYx# zcW>Ou?}-UiYzwaEOg4H{m? ztk?N%v@W`@$m+f5by|3TmPb*6Y(^IJ^yJDj66fD>lB%@tSYgCS64Lp z<)&FIBVcRFkl}R|Q|`N-8;W#A_l&hut@4OdnN zn-f1vG(PwlG1KBx%@q^ynBD(V_jLznD>?h57o=B|L#qbDzeshjp%L9bEBq&ppio=K z_C@C%h?I*9rCw{6(^ZReBQkd5d9AXo`3^PWb?9QOCfIf4(!YKEU1YJR`|Y%vTgxxU zX1_(?o^3Vx`%>rcm4!852#fU2MdNGn;J~S^A-`r9lyvsH4KTWKPLrQ3Iebd1(gBA?Gt(zH{7)9&WsA=Qf{2O&v8g+jaJrYGfBNr2*n z&_WYk@hK>L=~`vg{F(X-C=k5TN_2Y%yF7v%p+tddYlZucLQ$P*Lzgn0vG&VM3AtJcPM$uLvxX?3>xZ}suRmt8vV|<{X!8O^{*)7h2>;6 zjb99VsJyI=yZAjqZp*#{l^n4Y!ae)rS(vdhLnwm=kqvm6R<`>0u+Hr-4CbHiVP#E9 z$(u?&KE2SRcZIC)=&Fk|(cv!Vjf{1;azgmhzs5?p2d9EtL{<*XuwqXNp5*78?Y|mi z>RvitkRN+cwMY9`H-&69y;a=ZV>g?oN1L{gCC9#3onm%4%n9n zw|<`1;=ymFK%d`W%;VPN#l?Q)8~6<>lC8b|waJ@(#pg8H+kf6PN_36BIdWwvgmvNm zxNUXlw6lZp0%ZZUk|o<|YDl3#Rx8U(|5~cW@6F0e@A787?UU-i!nz0aHrP_kqyV(v zt^D=?u9cW_thTLI{jhBO>wln2@r~OVVbb>=XO*fGEv{Og<)ynlugMDUWVGo%7As{d zinqA*DAku6%q|utsNpu5m66N+lNgB^**fzN?fhbMeSSIR zCdT#g4fmR_9C7unV^_~H3+o>9taY0!ewdvhoiz zzMmFd5-f}13)!I#@)m9A{C)aZLrq|Xm2abucWld3h+sV%#df13R>yNWd^=!ltQYaa z#R%7QJ7K;4$MCx^1-{XKxgyjdr$5+;1&s{S_om4)GJGT6q}yMA+mp2H!^|Jan~S?4 zN){8UJ@_S9#O0Bw*O5z~{mp>jCn`v%J(c|BMe@_MyCDIO=WQGRc`ugBqBVA=)4GhLGv+_1l@!jNE%P9P07G03zsiUg znOxM|BR$5VuV9!AajbvR( ztfFJiDS4E%pvCj)iMNod_q5u`;53GFf#A8vW%7x-;xwh1kKfqo92Jve7RB9r%0|YJ ze|9F804Cm*Z-42H-78T}GnP%BFo4l9n% z6WM0S<@?|H&p}pVf#XP@sGsB2S~<7Zv-cqui&flDhQIp9PD`BcL>Pl1eNi0LF7^9?q z+dH#QQTcTIg3KTbW#h{GN#n<&QT(%(agQW#0QvKu+egVFH{hd3K|D&9n$KM9Hi^G` zB(7K}oJWD7*DXRC8+DDbE*3C{SDMuF2c}c@7v~KJL%{Qmf<1`kboMZOtgpr;zO|N*i`ww zLC3?=ts6S&{gx6t78;p6I9MrDqzPEV1%hBQp!~6*~W?6%$=>YUNrszDeSp4A8`f_bH^V`rty=>1i zq`OmNG`$ib^7IY-Ixld&uOd5t8o)W1Rr*A5q6ifpsEz}5=BlAG3Bmy=GUs$?@p$7g zME|XQs1&TdbiZECok3x}wM)jl_=l3$?D*LzaGv;mk;0n}2?)ZUN<4n#SYb&Ycg$Cn z9tM`s)R+3FOW%kUhcJAi$8jC|d;ngyV$uY+qdd1mxhY_~e~#4rnQ>D_nG3 zX&^vYCC)Qyl$pq-Z3swKxjk$NKpWONeIj@ZwyXmMc4AZCCB3!BCTDYqSyTT~35%(C zi`yrx?Hq>#jH9Itt3Iv~a7OOk)c8R3Xk#%IJcX=HJYSEKx_pqN@h7H|5=W;HPtUO)5Nps*pm z>DGc@7LnTIwj!@xsa_s<+BedQan0^%xHZ?9nTyP{Lm zdUmjU`1o@B*O%K>RN6PgUk7#9RPl8?y6W1zypI(eq3TfyjN%!^obc{30UHT(Wjdd+ z6?NAly2fnvulAPbtJOI%f$23VS1#9?Vt&basld`YQ9Hc&vD4-a!PbtZ?rFGCVnp`L zbZkBDR!QW&k)5p9MU3|bKe?Zm$GKfjfMQAMlUe+^Vy3g@A={;yI*G&ZN{}al!@56aYDZA*dhTc){+BCcmqROn$m82j=DtSrd4wc`9-EoUu9i6_4#@zLAOuOe^j^=l4 zu=6r~>pki<2zj3Wk^N*Ly!5Ylt_wgG>^X(v5qHtCdC>}Q@(@1fHTK^Rm0Bs@Om~b5 zaNVr(Y9>3^0tZhxO`G-hs z_VC#Wj&ClmY(pLKloet#K}_Rg5mUswHCD6_DD2uLCrwsd_g&)f1wX0}7r zg95#=Iy5Um82gcnrc^+_{4o+&XV^llU|-S-|J*%^j+~RUJdfRi8T;^N%`WG~P@pG& z7Dz>y34U%`C^vaGr|DO~d;LF=L-RQjwWDNp8M6DnUL$fjWUj&?XLq^&Qjb>?>W94u z#l_TkS5#+}c+25vFp-IKYvPC8uQxrzqA@;Nyso-={;k-jxwq_2nkj^LyNdF9mkhqB z;LX+_KZ@Xdg$L4xgZdGeesQ6d&=id@BD2&hN{SUp8L;VP*+vG!TWj*XX8&bN8OOy4>}LA3Pb9Q4i+X0)=N)` zd|jS~4*e3cW$U-=aG_GqO*WsA5XigGXS<<)S;2mq%13;Jr8>()3}CB!{@A^eZ;bE>OTI%n%u|5O<47lR>6&mR@_+d z(z78mvG!(O&C(H#gk5G)o(xSTaq{ouuEFTG_y%;6j{R*?XS?a|ky~Zy zZuiVPw`)T9WoeoxY|GvsaRT`Nqbb$-tWShEjERan?6FKK98v3?@^de4%g=o$riI|9v4FZ;e zSb~?@>dHy12mb2DVv`=lT??9Bd~I9u+jk1xHI_^r6fl05KdXvOw(!#eXP zwo++O?>1T&j=-y}vLg2DNVPZd-j;uW+i8m?NwF;yNhB#ZT@J6MKWnmkY&Z60_HB$X z?lq?AKF<1DV)fF#0+;hCF6p~2p6Y61!dQgVgET4`H$Cl)NnM24fZC6pnpN6yCEozX)oi?lcqUWEB@q-R!#j8X zi=1uw$HElH%lMIx*_xi3HHn-fsW(y+K}&INnSL=aiu2~EwE=34X(Oh#ObRM*cU^|# z{v5t#Q`L#qJq>C3cKyQ^0+-wA1l4Z))`+rCuk>l2--(2zcn!anN^FiCBbZlVv_MvF zPPF==Sr}Mg<=if>5_~GbD>!mlu+iS*d~|htCPU&@M2YT|TX-s@Wx}~Hg4k(C@$4g# zrco2Kzv`<3862r!YfjXhoL>F3KPZLt6Y9rtii!8;2k!Uy+FuVO&=Bc~WIa%eZ=Odx z;Y0%nGxUs~cE;_3bE{VFCiROMa>W#-+dX3xHs61~CT!sQP8F%g_3Pp1%N(}u>;)V( z1#_2Kgo)7D)5V7fes7Jx#fejC*c2{6PN6i`>EwV=>hbj%R9Q`lW`Re%ooCqB72Xea z=Z$9QU|=SLgK4Vp=jaXlFk26e%`VDZKI+4X8g_VCFHQ0Z&TfD#5%Fc?d@GJ z;PAR~J!i^L(ZiDzGvL?aMvWEbQ#RHPP@s?Mset=*X*J8H1?MMtkN@*+B*ZT+YlPkvrGw-p|R&#Es>W%MF z@c3S)mC|O+923y&pZ5TWUd>O;9Wn+Q-?%IR(`j)lh=;^EX`hZC_itnkxiHWkm3Rxf zGv$u2vbhZxz75t|{GF`Q5U>4sJ4%16kdUlI6jDp}XW0F%8wJ`7#Z2a-imm=gp zJ{Q-0O<-S1^XwT#Bq7rslm)=!u(3V%$tBxCxY*w4@kVN1I^X#WGxqvr9V};60Gnz@ zR=U*}`VJ*IaZxSW8o+}c5tu~~02Y$X=jgLLEto=8&sOBp(rhh=);FyLh8O?*SU$|Q z7w0d?^oJWAhe32qdlx)fuo;z7tO-NLq|I_N(YWUCfpbd-@2}w$aOZvU~u2HSL_duoPzF5?| zZ=dntsOUqk@aO*_0ku-9iR$nzn)llT;1&xeO$A*d1Q8-rjdF#CJXrm~$&HT;r z%e6UJ$SgNGibuN@BsQyO%>3DzsMLtu%ZPM_3B|=+^w<&AdCIKMCfm({mzrP9MBeuL zgal$2phvYBh zK-6nN^KsYYf&&?zvWW$I_%Oj09NnGOY@;hn2c+=}m-BBm`Z+2{bgLMyre~+l+BCu8 z2u8lRFFMe~q$7jJIQfTvC>`>|{4bGCSWd>7E_7DNUs`4B`xO&Pb^nn@?VRb=jtYC_ zd7>9;jXa0ey4OYc*1MY0K4Oy?wb}O-1*sEPT+1>ZJbs#Ono`W>+8lK&$4NNXUPbds zZdKW72oOZ-e`)63!St>`LVD3#psomB+WEviyP;p6b6jdH3^V_~spng@pPQI8V)vmp zt)AYgS{WUy5|SR)XE#mqx=zsY?O1y_9$fWrS=7OoFy%E!IW&r zf?^6Xf4SF-+D}{I#v#>_A^`ygUoF2>jn|td9)XRYs1d}u7c`6zSJz8>5qkFa zW}lh3=`m$D!&wVbz;7+Z4;tK#`75mFGjN|i^LQlcjzpKb(z8qY1T^Lq8*?cjhwDo5 z3Uemm(&V*jVemTSTmu-KOdd%cCb+Q1#LN7#fDRC|uMtMU{^vI-EVo)P*5+kCL_W(C z6~F4{P9BA&yXBL5t2NHIdr-pIpuO%?*im|i#Af>0xnCu}Z>SJVioLQ` z@2M?2+B7VfA*fmTF|o6Cf8poK?AiNIe$_tKXH0y{^c@!!C!qijZl+paG~dmS!SXY2 z{ujdAg{Qt8hts@9KU=-@zT1P^FE{xzb<3X&zr9M!9vF6_aMSViSd~G59<&Lc?6eB~ z9Q`myEt5V0tnM$r>S?cU!f$;kY1D`wy!rxT#`>AFXNhu&U33!~B*~CM?k)74!T)T+ zyN@8!S_^3*qj%>8?Lk?j$|R-E$gb(| z)3qXR)H&$vx99wLN1PUg7d16mi>`XZEv5L}UjO;E{Oo02MmRc5InO>P)r#_*C??z3 zHQ7~o8va;VGZe`Ct$BQS4uihsh05X}oxsoQ;|L8V4N^43`bMmfkm#V{aeBs%a9tg| zCY&ct_ItrPV>K(;;7qhC(lnE2zkVV8V@hYY=8wRt7=szb+H%%wvp3CR2*OX&lFc_p z4Qp7-eEUmJ4VqI_2th!P@&uLlc`oIYaMbQIg7|l~Q51brFN2?q(epF}dP*#RCf*U_ z=~-!5vHHVE7m_-TPGP|Cn^d`pZE55ylfcr4JTj$MU&;#rzYyNY^84`Xo)ke^9vZDq zkk2jT>==AJTNLR@mbk9K3x@D8xvFP^)bQB7j?!OatAQD^>m6>q$9UJC-WpAq3#i|4!wJcAVFiQey4x)20UXgGV`+i=s zY{0^}+AVAulVX=bCvgRr(ipl`j>#jP0_WYgZQk`5qB>r2qf$H89ohUqpi9s!J$p&! z&B4CMVI?F&n&vNkZye<%dKH`!RBEQjITBO0w(b7p&>sr>4=)+S6WF?qU=uT3Boyb) zo-lgVk&U{ETp6gsD+OXIc+kok_bQiVYD!ow{{TEzGzRsVmy~js1vJ@T4Py9xv{YS9 zdiwtSMHZ}2(Q&>No*%4yis6+*FCx|XSyL?@M|O#>Emu}?oJ-B;@}vA&=;L99tiIBU zna;TYoqB>3yKdt#idJ_#Eue#Ln z-TlyD!fs#m$964=MSqVBH&{3@3y#d#ebKqzw+yJ;mHdkn-f9=Tfrin>m!=@_Vrr z^Ns3Pqy9|E4Y1tSv^PlR?pk5zzXv|7kvVW~I#tJzkXK~4uwU48XVvOOnqWHT9*2Lr zR%q3)N0*?ct^!w9#9oO|rPEgcZLS5rns)H#pyf;MrPvW8=#K!~pag!$GpDTCPcpT%KdtNU#xc4m^=oD)peu!nPI zpV6_38>n|adsrn8X1o|YWZV4QP`HKX>02&a(E3O;b2z5~CMz%LaF3)*FR8orD9ZL5lX}!I+OMx$DHX8yj!P31d9Cp1C32c7;w{~{xna5-Sd*jzLFXWYzauZd@ zjOw-1GKd?eN8_4Sy#Cb+`bjqj$Ntz2C{8X-MVuV$Mw}$A@;kRqQSp*e38u_Ub`58{ zC#w6c^{v@phDW4xa(=ulV>({y9&v%#qj`m0)*@lqC*qqt^@HZP4#T27fyHYrlr{?m zk8mX6GeI_;x^1LM7K3xN|BJh~4yyA19(}QuvH%4MC8R@;E)@X*>2B#pq#FxRkd#j8 z?rsE;2I(&8?uNb3di?(8%=yhdckZ0IGxv|n=zRF#X7A^DKkL2fz1Di&I?q2Ij>FlF z=e8TG9Kw@$gJ1vgU7Dr(Zf3Bcvb)nVrC71vUuOEqdbJaRVH>H*QtQ6p8`<+@5qap= zmqX0(^L;@!T3gnc0g1=?gOZ<;c%>&fxKi~mnl;{R4i2E6AyZ@hP-1|)rfnclY9!Pq zwQFP}MORMzeqh}2{;gXVyvyo8urI7Nkca=rUKxC;>lBav{A!f)=6oa!Trb72TC#Jr@oQ_ROVIedjw2(T;!L z?e=z34s2)F8nQObU$lNi)3z4-S?8dGZf^Eks6WoR{gC!kpSWwn_`IoPFFCpF#-<~5 zEi8n^(*9at#(OK#o0@IYiiZ$;XuNNUYGUeOS*4B3v{0zI!+dFAOz%LPXXB=Tm#poC zr)e?s;HA~_S#M?L5srjUBNXfU7D9i;OLLr3j^irF@Ll*X(vu7w(0#FR{cA_~{%y-w ziwSmW-@4ykBbQc>NA&(3-o06hyyF{st5O)OvpQ z``|JaOd6KldQ%h}Wnr{2)!K2+OGuXWyf0IyID=5E`*CQyRCo65{{6S^KgQ0hxW`#c z{6=^mS}>c(UMq7|@8=Ly7s3(#WfLRC<`iPnzg8f}^+dSM{%AG&?p--2!i58RG7cBA z4nsid^M+} zzT^^GXE~RHYrlXLluwO(iy;Dn~Z5xP9u-SCpcYF;AWT$Y;Za-fm?N@_l_H8*>_I z@`K@32)75B1p*u@-+y&_ZZJnXfdAk=QkqFiON$I{fyTc-FlbofK2#dSWV!GT&E#g8 zZV#bs!!}>(jQHaP_t_u?M2)J)d!}kl6ZX>L9B>xZru2fIZ&D*_()e-4K@Q7Zwc6*x zHF+9L5j_2C!iY!n)g*gTmE3wmgNd!@JFFlr{vGB1)1@r}75)tU7j&FC>5KB)$qHSv z&_?||zA-<9IFUdNCu$FnRU5w)J|EXGK1_Tm=ktf|&oNqxFSYLmy&$_8=GEpnM@eqc zPE!7Non0vQpdH%W$PpWWtvLQG2K|2k4|R8Ur$ImKuV25mplMFF#8eS_$An?XUdm1A z8|aGcG)-`F<-b*?YNAQ;aqvb^arW)!`Pzgh z`}LfEh!12yWvuocM0tKK!i^Mqq;%fR@KT+tpQScO6)p6VuJmJdaN{od9Um_Tl5q@r z0lJEsqpbpZvX3G|(E+<`orDU~znOm#pJ>oz^AuO^&)uM{`xE^2AW&t=3Vp1ZghZ{z zUBux|^{+GG%rB9FdE(oq&$ZC$aB^s=kO)nfl9|^)2E~lSXb6NWhJiGBL(5wb(oPIr zuzQ~mkV)L|yrE$aFS_&UvllNKQm|pF3lmEt%a;IbN`b;Tt4f%s37OQ^7REO}Q-v6Y zZLj-Y@XP$%Q)+k_YQ1hhSn=>la<15NET4ZcTr^H>TJBK6&1baAXCqd9do+M$j3?Gm z@>UY|{)@Xo-))9FY@wDE6W-e6>9_B?_j0u zEoKInFrBqy5~EO#a{n6Y-?gDC1a+V3QLGvRqkl7d6OA9|N~AN4v;8%oYv_I)e%HFM zQ(xYa?sq|)Om16e=cF8lSXKd((}el=aHobxG3%Sn__o=~iteO?b9Lez`6r~S7x4Z2 zw(LCKJ}jsEji2=J;l*$dM_JuWt3g2;=T3`9fAYJ(Zu4qR?*$)H)$;GX^_p+YYHjVP zA3fD{y)#Pkpmd4qiH`%V-r+ZQ%PxR&^e*2TSG@QUB<6HNa&YNIX(?3oSc0Si`#g2-#J*r!9w)n`I zi+tPu%7H5pZ^y?p7+2iTyfAV2`l*!#P4dal1ME*0%U21<HmB${w>6obVH+FZjBX2y*`Bd~pdIa;dtf7$EibzTBl3DN_jR1=0cCGt0 zPlZj}NBJq@lplL=RA{KgIvw$_7U1hgqj?MSxeLW^WJ;vgMLrE^85Q}IygW=ia-TZ# z`CAEd<^$0PcFo2@hhA3)S-Ca?m3;L}tz}nr4sYn9M>~lpb=+%CxvZ~a)#6rl7pxDy zAtsngB#nsP)!FTs?XsU6mOD_5Io61j#~8#QIJ3LH=%osEZPgm8l}1pw+&%uPt(f&V zD@}t>D(yS8TA@y-(7GjRCeWh^LoH@OZwnY)G=r(oNM$|rzb`KX0?MY7edrd^O3l77 zRExu+rXch5W`fDn^t*prPfN1)_El6$+%x|$>GIasp{28HuHNe&43mNpEkS{QU<8k? zRw?7K$g`72xER-ZXUeeC?>%_EN_4w8vkUFEAq1Cw>?s zL^((Lah!_l#9gJoZoN&}@+oIV!2 zFfbN5wo^3y$~%!%&ixUUmbd9WlutX;xd4Sx7WM?2C&h>4GXVS$`}+7an3e=Xqp_|V z01Bb)jd~)@dcJMgy!1}v6=aS%AX1>IAGjpH>egV~)y(3eLxXd4r_$p)LIzY)+r<}S zngwE3z!Ms1Z*%6Oi(@4Xk^!;N^8_$F(s4WkT zb@?5w_Z>?JG~xeJt$nh$d?|uI8zG2(xlJKeDGhDP5iqzxD(!B2fhrZ!**@PEDjijg zWRidCK1nCL_u{<#7Sg)t&9)1(Y&-?+iK&`59`fZc8T~3^<9Kr)4#tByZroPD6xa?R z)@o;YnCMmU^ucxikBM`keK*GLMeRG-~VZ%8OO$CvC@50 za3xZHvirUXftG;4SA%ZPZ^^nhGKzy+GekJyRM>D#Q$nX}Hch}oAr>e-9udcN1BbsZ zE?l@RlOfgP-h=aIOQFcGo3NI7_~H+_b-7wdjL6-l`JmXv51VA%c{K+i)qsz~s?%^8 zrk;)$-GL!dApk_!fuU`etbhr&1!GHgVG5}gOmZtQXeam`K-PVJ7{9nz18WipxH@vjICU62U((m3~lQJCe$NjBKD^yeDb9lmnU4CFtWHh)j zHSPQy3O^;cl^oY0eVFD*6&T+vOH~l%@v!mm=eJJ z`Bz*mz*kymk$c7=<_d&qS=%s7#d^B_0*vJAg869Uo)ds}Sl=+Yatj(BkPh~(pVv%a z3Mw>mARx3iF#Rg7@-oa$wQlmpx_YAK2e9YMuw{(~j z`dQ$nHhEDI%SG_~YF)L4wadG&oDDOKhODhY-hLM`zGVx&0cv7+oc?4udmh~=^TWh+ ze+313j?nj$1QF`Uv}5W94H6=0cCFm z2`GrQh%bx0I46Y!D$Cvbo(DM$z?i@GvjA!%Ah{hH_J(&ut?a)aecj89lXaT0#;3Zl z%i5v#+W$Q?o5WCF7%dp5dy$<;k)Iq>>gJ5HuN%b=tg{Piq<_J)JUn z{Iz^Tk?qNq{Mma)^P%$1E}can9>x6m_A41rJh6dpK7^ZaFu1W;9L-;_CZ%z| z9K-kREw6#A_YGxtQ!n{AYk!D*L&7oJ{{%1XR|d2(BW=^jfUz4l_fpJ~R4O@qsOsv! z77bf9;`7QM*$l~|#_d852`ti_Q=W}Jeu<>zuD*L@@HSm%TZ^U#=SSnEe51(7Uv00w z>gqV}Wii`2Rnt7NW7_}5*BYnCis6Gnw^wlu1mZFb zV#^P(pZ6G&x2~8m2{fb1P9piEF@^g-8-4=W5jhU22h-XOU8aTc;wBv(ocz~_*M&FFhL}xmo0Tj1)Aw z=##?M_NC_~vHB1ocyu*NxXi7W_8DATihJHv;Nv|VC-j^1$Qx2 zfw=w3rnjfVb?MPle|U5ipUOU)gN;^ypPlR!FWT{OCh5~k6s3j5LM3vnaYH#`vva#O z{cix)z=kghEe{W9OaDo8)zlRYLAq!og8aIJV?2b77adR< zPdhg9-uf6y@I|(xuY~E{h)k;Lpd8EK+Ig>cgCVPvPjox(d6NsKY=65yq{++1-tm8R z^$nKvtVymnzZdQptRFH3+ef%j+C-p5Lp(_>EAj7~(H%Skrb%eS@eb>{|24=C<5JqO z&%L>4T9vAcD?ZoQvEjh24e1DhOz!N9Gjv_eDQ-Zf_&66zO8O>k;H|(vE}>d@x9$a! z+q+-?;)5eBt6aeNF^ilWb6EJ++ES(N1>UQFQrgKszJI@m`(clD9)&7rX$`#Gg4uyF z)xFyxv@i+HOAZTxuP0+{a)mTk6y?I5L+ADhN1a(jWpfh)Xthz5>K<#Iy~XjI^eHbQ z)RY61qlvanRk%g$$5i)xE1SrhQV96F`Hj7v`oC(8rSPTn#a6BM6eXAotC;NRVGlBI z5+P8vph`<56lk^958C#@>A=V?&M@Xk>$pqYlOJE9)mxy`-&5bJ$Y8wUm`4~GV=U_| zmN_=z8uP7uMOgmwJ6CoXC-u0M)8k_{H&$oWtxB8DAZ4f?#^4gY{pJG3`#{~ID6F4k z2KT)x2lLXc(iF2C3{8h-T-|D|!v(Y}Bxayk}HEh0PdrHo*{-e)Llurt&75dj09OSUp zU21C>1j_!N)+V%!j#u2lu-YK6zleeHs8hEfUAhl%-y|w={6&D0C2w|$dT)tq`y+$7 zicrm^?QnK%p(5pVrSEhF;*wti=k-NyTAc?#CHABH{=o*zeV9E?Kw_)wK=$yn2LIZS%?i4GA{E(Xr@y| z_YEYyE38|a>~J-huL5%+u4ERNMpXFk65suMjy6&ejj0^$9lZENUJ0Gotc%ShDx(y> z?uQ>6?vuLhwBt4j^9=B?OXZmT$~wM+kGH_}^Y2m`)+*rz42+Pk7+4q>F?|dKyHFvx zX-*@i6`x?`E$MBIxj(V#g8ZG&SM4u0y;71%nzn)SUC3sF0R!Xx?yU<17#Lj46XO|P zS4$)YqBIHBDo0{W%Q=gl)tU1r`<)gJWW6)+7^#Uo&b&X5iBb^4IKtYQ(9+x;)iux` zwr!oNw&o)KX?X`D=IKRvN2^Ke(Hv7*Mk&V3rsYy!GgBAmI9P}9N5_qHjVyc9)LC=; z$NjAAS{9kjS;8flKDOIWFflNuU(bBM2iMb);WcoFT!HZs`J2<)?2Gu$)orv}bQTi= zDLG@*Sp$i`X`i6%O6i)djUL0R`~KbaG*_^0!ybxpz1ZF%)gyDpU&u+VghD9GULP&M z`WFL(r%deSa|L4$r4N=B>8X@9nv9Js`eg<7aO3qEFW+Cms9&DGKIB&LJtQb7A&>Z5 z7x&mmHUWF?ovh!Ax^^~cM5A`Yup;m@Mh9MRg{zm$=Eog7$Ev0N&XC-9)QliX8@3vZ zfQN9Dbv+*g1EY;L-i`A4l(}6@7tF}-014%^(|cqU1eq{_#H;cIPUn28GYo!HRC z3=G(;37&|QOyd=(F=oaSC!MrDAsVl(JTRCyI}Q_4tK`;nVcoHN?%HG9tK7@6Vr7|- zsA+$`8cx#2xJM&*#V1VJD=8TH;G`n=zG3?4Te_fqc1aNlsyC6N<#}BbrJ$7eICOrO z5ViaX1TdbHSVpNz@$a>osAUIn8 zwmH`&pKCHozI*+le(YvVQj(`mMQcjFm^EIQ->!?@_UU++B_1P$PY&d2W_1Vm{1+KF zZi|1hrDJNy_?%9G7OBJ|n^y?&4X}mV9RHn00z$&p0h&pviKZm?c3wc3g|cgikkb`X z1ClOeopjh5nZi3W8@1vG*Sq?=gq%_a2TDb%Q9Wr1l&vh-{DV`6Xx+yW(xaaqjuvpgsefp|O;!|?WCS~2UFN+Fc^j&9b& z*+iomsk#)zJR$PwpSV4d|Ll#wNHMxcC(yQ>$DH;jE1rXxX4iGyjB2Sz3x_gNXXpVI zO2O00`!9Ly!cy+5w7(QFJ~$4yY!Pk$0wfmW7Nwt@u0obv2s{qCl=S)l123H=t6X&) zI#IJXW2OdI#l3Wn>RCm7>CC@L3RiXy>96`-($gLKuB}=SO zoBT?#J6nvXFt7ScPVD1rMJLefs_@0CP2>-JR2K%auirlep&=Tq2qTT%k3KNKr)$V> z*KrKpJfJPAPofEzY~&f@*)UE|!fKR|EALAckdzl^Ts%0L+a~bTB=8kJSJ(cr7xN-z z5pP8%_xP>PRMDx1F z6cQ(gDdh2a2c%@sg9FH;NR+%5kUe1Fr76Yx98?s|Kb`Zig{NOiVYiJbg`ZQ&yILpH zZQx}|hB`aVsto83s+ScPOPjoSZIy>cFO0bg2t^)Sl6252I2P!4%(D0A8dmq(jEi^E z{z=d%s}>Lz>TpkakNi)gWBh9@Av93%i7BRn&cCwx0OX zv#{H^1CWjU@UjXc!9dA+n6j2)1~LAQZ@PL8f#MgIp`Ub20=*f{&YXLKhsW3k^DZ62 zi#C{e%Gs_TnzK$?dlsJl9)ICf?Nx}y*T%GEtX^sRT;nsWK&|La^eHEL_j+2VpzsrT z3#_cB46}1_l+8w0hcXEGjMPUakccanRY1>iS!65uf>`_bS*1graDAB&aqrnH=$gGw+ZQVN#eHt{C5*qocXkC$LdVH3J=V8N8A(y*e^o{Gm~>)$gE=@E zjMcj!Ty(?kyW3Li8F#Wu+3%h$cEZaWOt4g>u`w_{6Ch6?<8o}1uB>f@P>&97%Hx+| z!`j>&8uH%7JJ+N{KjrRe*l6a05k50u+nvC47!FxHhze-bTIY$`oZ4i=_IM9FU~t+* zV!lwlv!t9n#wUOk?dNNo>26(2r2I8h!M0iS-wpEp`=}Up1_EDlO?%U13es6>99l9HgHDD>)-RHitoD7{= ze%+{`q>>o5s5na=f_L{oP9Pi=65_d@l7xY&uAVY2BzML zu|r2*+|w$Bn0hHVx&P?8BuQ@@nPm#uU3(Z8w!i&GD&fEgA2FZBW%`=uQE5wIzNX@= zjkzA~$5q@>^o2BQJ^{A00=)_1Pjq~4*c=6DmT$jD)I{M9f1wIxR)_HV(0?}?UEKc! zs9r38EE{BlHzP=1k?yluLrLew!4>gtCZZWdJ_g=E&2*g8!uISe$KlX8`5)I%`&qb) z75H}zhk^_$=Gc-WSfW{X`2N`t-ooF?abxu16LeLbC--uRG2T!AvnCi)1uWi@`@u=l z8ZvU$<`Jl#s^|5Id&}IGpowVshjM&+m^??b5-uHiZ`<@?~Td50VB=|n}^9y(RD>suuQ^IUUaw?ObQ%#Jdlu~B=neCg6&%?dm=;Li%LMM`;SFr4l z#Yq~-_V8s9$&J86w~eP6dT6LbO6Y`5);Aa+Ot`wnhArf6 zGhr&jtp-+9zd&U!Ulsn~&-0*~QA;eM&!%nozREInmS^~(E4qy?U)Ju@UA3rKbn>nLRN=D3ePn`k6{tj$|P_ehHl8<$JDi|d~13e(%6 zYNfK`-+pUO^rO#G3EM*=7jf^O+dVzX47#5IG1+#w+uLoW`KlTeOZL%T`>>U_nu70c z_(XIhb5_&eyxrGQ75XzCA@|&_CVaubN|V+}IKHlES;k;lHuC$g2i@hi7xB-X%4-T; z#tU8i_Xv5hXl5@jv2oo{5^Lm1UFl(VAFA!RNGK3L#}=Z!Bx_i!EXx$_W%oLCU{*j! zGp$f^Cb(gpZlz3A;1Um&T{eNu8K!>-&iALeZ_nj??|VJU>!vv|UuJu{ohkC+gGzy@ zZZg}njd3&4yEf(|^B3j(Kg^#ehzi6@J9!GslkCb4T0Xhh=3eGphC3gIa^hqcc)_f# zjQ5RSV3l*dtp$t5=IQ+`xks;O^Ni=FP$$yrwk&BfIw*`BnwP#eidG9n#88E+2ZpWd z>}T^0KB4?XCpBTE&qt0)sf2k$)u+SsX*w(wUluF6uww12jb1IuBI@kV-~Fa@{{opw zfcx_P@m^bikxu-L`6>Q);wspmrW&kF4GazGI5?CDZwhAL4`2Ot?ef>5)d83is{m|} z5%cV{_ji-JfAH~X#S3WFY91e7AsS9d)xbp=ex5~sPT-uh??bJcg+;v6mT8=(Sdw#0 zWH^?CTblibb2B^4LPhZh#mz>!y%GkWKxx063RGdd4^ckvwX!K2pz&cmk-+`oq^~#$3 zQu294ueG+F2rM)&$wH-xmY9}me@|3KMwcH-PkUQokVm`R2VH1PY*MA@rDcs;o)m1(^}{8Uqmq9kJj<53i1QLBCfW^rv7_6h2`uC4R-qgv4OS0?Y*OlQa$ zKG-PPlv7ssqBQx+EG}J@6{>o`bZWU@OcG3)vnOmC!dvn(lCLo{$C_5lQn9$)jwVe; zAU@%UCOn(KcL$1c4f-B*`I*YCp@s4d2=Hj^$GHsj^=Te2T>i=3CGN@!rVOKtmBd`t z)Ii^OCyaq)N7c@*@nwk>9!HcL~nQc%~#wV@0PQ+>~>s`$+v~5Jp$v-j--L zU7o0Pg&u=-TcA3D6N6H#t``+SXTac+bCt#kM?k7fmd5r$+6&#*`cN8?#5*|9#MwIwm z%j2;Gp(wudM>yqgoxc`N>b^CM(;3i7(vJ-~=B`|;n`(D?*V9sQu`!b&Y3XJ-lf#EN zCy#HW54Os8G-fgnx&Zc|X2eG1^W_~S%hjDx5+qR)!E)|# zS;`*ginPlvdmV}%Lw_rC&YS%rb~8se&or%7sM6$TCh`L5qAm<}3f5*xim^Yflcjdj z4|>$9WqSE>g+7fCK}z@z(Z#g86!}(d$D(i6r^tF+%f{9Rfo_ol^Uq%6dQ%K{{#1Q0 z@M)*T!DZj$ErXnhh*xcSUUVXbIGPHB%Lo1?u{-9IWwmTuSJwlKs}VVpVAwMT3)=R%n^pk2Ds zIYhshn9F0^my;>~M9w~1k?6?_ZZAb%QWw_g>Za}>BCG4{{sI?NOk(;7?_NYaLDQ66s8pq9hIbwrnl$?dg&H=t#Z8JrRo z50=Z_pkL*8kT^e~H9K_o)b7_JlnzjKKa3Nv&dlRuH>2BK-j;JL|4S@4?6Uc4NIQ?u zs2r@d&+3GbNQ6Xf2wj`=u^rk;w*h<(%Y~{M@cT~=o3z{`cP#7VHw4_M#DcmKd2K82 zG0SSbjv@EDDgQISYHnj<2z@eA7e(Q+sb%fSox*LSKkkxO=zcmeUgr@{?qaLlRfw-v z#H@UXI^`7Rwy@?lKe6#Bt=7sjrEY?>B82^lmI=~tv5iw7(e4IeUmoQC z)`FK7&}Sm>BD9ITafW5=)%_3OpMxn=soohTfjEw)nmz%{ zqwXUHALbvw4irGC>^LTihbD7Q2Fl5&Jkd*@a{pdfWH3^znY&pRo~0+seqtMDs_4^O zBR!GI$WBCKH*2cc#*;pPGqyBP8#bC&)2iD9g^J1ze~ zgnmiXqU(u?3EF)*Tst|4A|)+eX=S)TE>DYkpp06(jI9 zRp!2fQe^-Pg`6km!tSq^CdbxIidm`U9^-mmpQO_C%Oudp0k(awXnEChao0O6+QaDw zmle#-3x?32%2GCK<;_zl9#|;t+9dR4EcMd?$xeK@N=WV8x7e;o!^8$(^$fkRH52Tg z{h-Vyx>zr|*gUd7KcRudOF?|=&O%57xvxe3*xVP~@V|-TA$A(BLByhM!xW9lm`%9E zR+>FS_cSTnb2WXwT15^K$qQx5tM~YNC`FUrKAJ0v;Mr${3f&Jkaz5xg__sNLD}HOx|Bj5%x{Sr%(QHDTQ~FVYJRT zXs?U6ceC#F5;lTM;h zoO$V89%qf%iAuR4N;$zi4q=uR!lnb_QCvOalUYOPevUc;x8#Yc&Pqy?L52(|l8kqH z%bOnIOqH+HD*LeuTm?*a<`VVLM?z}(&rY_RzkB3(oDX2<4Q4;7Lv4$)ojIP{(ejL% zH}A|-1&q~dwzUKTma=A&gf}_fBTTLI>808*#sIR+*U^u0NEuR+UxjOscgCm|Z-%KS zGuP6b4ttY@MLi8VISfag6|Gqt0NclPYOU#aaq(N`&e+vWHt@tClhWd#UvTJJrVKt! zN3^hQF1{L8`D}IlbtKruxXvEUA*QU&I6p5&!t<&xO(NdS(0|Zmq?ciK|0-!;R(ME= zLSiOv$=y)!CgY6O_oS()Ec{t`gGhMA>%2}k!0+WI?oF39jBO7isbdOg#@<`#=8T_mE!vy= z-fK}7*_|fEcslGb70OgzUrm2NpBJ$?v{@HlelA*b7{@JV`SWA_dTT4n8B!|!kXBrp zFZNR_rP34-tMFWC$@;Gx=669dE1!R^8de{U^O|&}#9XH@EKfhDeKd2_EY>SZCMM0N*|c zsd{Rktx!|Ry+iZ(H}Q<3ii)$_{)*V?L8O7yT(Cqk5qrn84dbQx?N{=t5m@`u(LivZ zv>4G9D79oCI*H;~KiYTZTX3=MuR~j0m8HI`<#txUO||DumJEA%L%T}JbdcfA_W`wj zBchaFx3nIm|4Xi8JjCmW(8)FHFU=t&vRl#j!nw(>zd^?Jr&?ZTDA(}MpK7P$L3g_L zxmIxK#Bd%&EgFxN8qWYSlzpr>(UaTGqT{~JDG23^^zK5hvUY4#DGrHgF29}a$q#*h zOU#>`t7fD9F}>vm?X3fx?-IGsw;QlJS=NnPirlL9%IYHb*)7cln5sH7Jl4D(bgaV| z_iSc{4(uAKg-QkjlP+SLJ;fxE1@0&g_Is<+(ww5tNL-9sKV0fucJuT!$orru^G3?a zy!V%DthO6_{wn*N|{NhaYiNsgf46t;LYCnwppn^C9Ojplu!%5g`dkbJ%G zrE|IJHdmSczi5VI?ydHUeHGC4v@-x1V{IkM9dr2vyNzOMeSkfWQ2}w3PEJ$CCrPPa zf=%r)lF>3ah^*$bIe%O=f&Fx}gzZyEsl}(UX_;c%jJP*cA+7m29pI_8bLvi{K&}G zlrWl+ELOeAt%ZD(!F+q51m@u_c&r3~Ql(Nc@76p8RKReOL` z07&pcKz@Ec+pyZd$MXK!WtGKpD3*Q&h?+W)0MZ=5G6Mp_aHS{78_3wo3s2x{w8o_j zT>#`0wqf1><=5_MIX;K-`YdF!FT44$4B%NSp$chlQ2lMF(>F*gTU!^RfktI}RUH-` zzHYUUu3eqpqh(;|XRbR-6eV@~Ro7`+veGNTJOJpEHa;d^UUdM%?;N{UZZ%-B1I__J zm+2ilSFT*4qoLUn1blA@WyOSL#l(iZ6;)buPpPN%gWGCLY&6WUUw!}ix5yDPOHr&tWg(2}=PlXY%$EkRL&9<_jemHQhZ>`Pz*!&gm5 zi!)eRSz*w^Wk!|!XJ&)hvOwjK;O~Z!#(RK64H*`&TTy`Fjxm*3h~dEafmcycQ3=2? z+oLU=rr*D>R&jITT+i>)K})>1V<;QTxr#$%T>t)pGmKc3V6<7go()8_Oh8t8od5fM z3>t61--L4?T{PlMy%pC8Y!QQ^kz%N2d%x~-xS?omy(2a-W5v}E3>}N{@`4Ulrf>-u zoQ~$BqZ5aUWMy01Vg`bC^xzTOLpC<~dteev-%jO5L`1ydyk>Oazb^{1Myrs1^3tK9 zrKfGdsN zbIMU#RSk7){`Kqg9;fbS(*NBDEU~>N;VZlSCU$nC4(*OZ$oeuztwauRQBPq$^8DP~ zQfjniFy(|*BTlAVicg%=0-;zh!X*V_niTvU1is%sOu;n)U^B9^ADsx1mByIn6M1jv zzdBV{cd$8?2LNXc;DXBnR%IWi@dA!qEV$TWj6*d?$>SL61D8Pv2jci$@b2A914^wa zltg8l{L{V|AH6VE`B+?!wpi1!yP`Rnr;mSqz03aY?=QALnbS5E8btigw)H2P_1k|y z(eDu=$-;Tz|I+)A2F2WXasA%~y$>|xe+M-Y$k#*1|JYNI@!tRacUE2M`ENb|cq}U< z1W%QL!0lkfh^j4Hvq}jd6BW98diaEd8Nl~513-{bZNc@*AuSh4pkgV$e*Fy)fBm&? zE^a{i3{Hlr*$5stQ#mgV&|-=?YU~qGb<@_;a@{)XwmGlEM*olJpF#oye{5}8v77Y1 z1n3ZR$r_2n_#@vYguEC#B0_HLe`wRPZoit~O)3XGCOr6PxGLn401{sL8HvZ)wl~o9 z(tiDV+4Sod0*(|1sC}dIN49xjiOIr~!6zZf0r<``aDD&4D=)PHB1o9PmumW5Gl@e; zx*6yiWHSNe3lL9K6M$7ST4A-i>PN_y`qCp^yROy)9YQPL4?H6HfEL|?C4eAaXns3V zC=3rz(T|87kCZeQpe!a(xJk#rzz3h*H~+HkE}>Tf^5{e9m6aSF%b9BS;_pMwa>0ToRFfKo8(SUO872mI_L zJOToHFLfUo8R&@t#*q}@d3}NUoGZap@e;-m_rdQ&F9p;3Xo|5MaY+|Q2QpEFl)eI#{Rd%}OV z)u>iv=!bBK_Lq8QUu$7@{Q%P4l|65m)jm?k%*m+?INtuG00Fg?0(i3DyBGTaAD94a zBVz#RI)l))GXxZMe|4uO5_GTDa@`iL0Thl}q5fBL3W|Xw(VO#&ixPC&Wbdjbh=BLT zRJoMc=Pb!}ld#_DW$+Wwq3bCN`AfeV>Y(FKz*e5C9SC9`fcbZV5215UF<%5y9&(MCqUO^4G;q-5_XLr z87v2O@vWa6&U?m5VD6|H!o$K0U$H{rv~5G-Y;ypRywkUb9(V`ZtaX#ecNKKnPP)|7F?FOzeliOfWUWts5+d3J+HtIp?xrn*>T824Km(92O2B*%&U6ZaD?o9Qv zT<5)|1lTPZ0Iy1sV*7R6yt;3?&=J|z+A0f|DZ%(1YGt4sVr2b*ZJg(`4{#-4fX?hK z8Pdu^ehsXXGsxSewj);o98x}&n*v8a00E7c9QM~7K)bN9|Hj(~!IlRA*)sIM$%5GP zkp@gU&f>r-iUH>e+fwhH2ytvCDH$1A{yB^rSJu@{B;vHp1{?emOc=@y;BGap0`c}6 z;~DUz(oF|4D**^r3}|b%QTrHf=rNEH7xyt8%+7#T1JwLH;0;;D_qb!Cp`<<=1ZWA2 z`2Jg8KR-oKU?s*qiL3$iIROa2`edjMrMU2lc{=YQtct}{ty^1H*I@a(+5RFUY0zX2 zl{;*vZ)AIuL0m_qYr?Prv?0{IKW`< zwNL~s0r7JHRPEU*`fOMF*j2!fgjWfaX)krWYa%G=^YynLdYVZ#GO!-!5)Y6rwb5#) zBG?|}1_lP_()(b~Wf8=sW!?FK{J7lb#H7BS@4>+rOR1@-Lb(-diUq8Jo;2Y&>lgJz z&kGGhE9su-V=S`AcT$k2Q3 z%yq`V+fpmg^<*HB2vql#S+K9N16>ZaJT-7TsC6il$*tOuOA!wRkf|UoAD;%83PpIr zCFUcnin$uxUvhpg+XHRGWPfGg!YZK{=Fu#eAW4M^YXfj6!Ms_>fuPUr9?wDi_1Bj< z6P%vlWOytxt*xzKbMzRqZ8{9XH5bs8FnZr~tTabXUVa}C4B;+000wo)H0q9n^t72B zVE5uyQvX7Q6j=pO?d(8nt-|}^>aJQb>0Ku1G6RHa;n+Hr$Pfa)t-2N093z!xI+U9O z&cO;|(*S(=)M-Z_jRM^C{@RFqPfrhM{xD)((Oc@iZ?ZHhcHY%_pTTVcUo#$hDMyHVe1BiVm zr;V*(qQfig*E2y^83ThPEyM0QJFHf4a*fO3Rr9GThdhrd+2&OW2p9PRV`FnbLQH^8NbS}EPkR7-6A&yp0A(_7^Iu!c1szDk&8-S8VT!N~s3PN? z!WmQ(!Mi?gk4+C?P%D0=l{W;tvs-WoltC7BL}Y?GHJVeivZSbQ;AZCK<(Fxud7SllIC`Cp_{xiomHv6DCXu%w3Rq=2z_29~}eF)8WXjU3Ky0T>MI zlMALP<3Gvz}GXUg)s2D&pBtT;^&Ev-+0em}O;757TQF3*6 z$BKw=tNzl;SXmzIM{wGi{7CuLIHDylUBwR6&wW=6%uw`UBIsmE*hfHbkNP`1TVk^) zWd~j&1b9&_Iv>G{-^@E5zRktO8@uF?2)(Mx(){}&EBzTs@LY|dKU-W(tOs9N5T|1+CUW-L;HA+&Wxm6JGNXYA`{dF`)XS!xp>1_f6L+JeO zI9e;}{y6mJ@&LpK=7<*|mDZQ8Qjpk_qs}>7wOPxCowQa<*$VVU8>c>B#!l_#LWA~i8xvIzwzs!M zAP(!v)#RN8R5a$K@JumXmh|g*fe9Au#^F+n=yxDY$jiLi=UGANSnvUeTLiwI@e>jf z{zk4(AzkL@mw*7y-0B^1J0%GY0F6zl)04e`Txtl3? z90muxF%P8nc!RnZ*}$taproQAgd12I%!w|54TauDOOQnhxK-YM@W3T14}0-0?8Dy~ zxJ~~FTi(lie(n6vxBu@mArFngs3gH&AS-(fR7+dLR_-`MHK)}9QhYnjS8CitK4Q+X zzcIl(EXi%Akf((dGr}M6Vg9K`=%=Os@fuFG5XW^OPg`3@M@L*rY7p|knZQ9+fUI4} z`Bvji2$5~UsKo9aQ%gq8d05`}LYTG?NEpK=_1NF(y1{1HAp?QH#|cP0SYaXs;Z~$z zY@#-5Pc4zi9R!eZJ{2P-$njzd5B17?Kc55&>5ga0vhK zZdNBDjuPUof4qX#U+3ZBN6ak;&+dX9Xedd*i}rhyxu>6^^|nO@{MzV4s#5c0}CH_kin$)Jznw0}}J3eED+SZt2hS z)uFt@a9RPPjHB6fZ&K%1U@;Y6zWj{%V6sUfp+wj$i6uQ?V3T{IY#A$obCKm2g z3%%l0)YMs^0G#JTm60e6QZ;hHdrL_HrjR2*+|L^jU7LmDzNKg{xKlmySVKDnPPQ-cQYtvd&Dy)3v55PZSa@t6Rf z9X0D;n}>LDh#La2tEP1;6=G{^Q72~X#($nc9;y4b4^9Ea<=F3#sQYXm6qXt6z2ONjo*6-A-pcDEbEpcgO3Q^UkYix-2hglVa zKq6wd951)lY=)fFQ^=4pYS$v+Fz$6e%4KluhX6jE3oEY%wrc>eRA6XnYR(VFF3gj< zAL;nrfARwUK@k*))XJHCl_svYkf*07B;2C7ZBl^;lpYcia>pPkF;Ty4?7TZoIzD%@ z#)TfN27tPIi%t5ZR$@j*Mi9YuN1r>KFAAb%Yn=DbPDT8QGd$3zQ_esRMxxt+TupWG z5M-R4ou85D{r=Vi&SW+iU{i>9kiY`T1-U_wW)z!|KcKmJYxa62E;Lueg~C#)RoZ4e zmX6Ct5{%$b?r+v@|9(*7dTi|mdKAPX2)j`xPpjtQi}vwx4ao?W=P=|T7pUbw;OQ(w zx98TT;K<=hK{ILJrJH;|U~v#pMPgG3iXd430WK)*7W`%8oOL95H30!$U0ocML z@Qb7!-P8I^C@CpJ9CM0_ig3Ieb*j;*Q(Ew)*+e13TFBZTnjL)$-F3ML9qsSpdnuT2K#vy1d{_k zK2U);+FP`f|<<}w^EEGB?XGXqu|@_Z?6@MOVAN|0RW2bes12p)YHB_vpx ze{?{$>8Zu&Q$&I?!3ppp*%g;>4D*$$}Y*J5UePXgee zt^}eEi~3Sn`O~_t*4Ca>$>^uxPa_(S3~^XEEJpFHG$5G-TLXzN6B83*Bx(ZC)s-M4 zCBHdYBSG?0DGWBY7B@FHq>sWWX`eii^*9}yLNevCTf^W(&{I>3!o$NEu7wqb1UGoZ zJ$0QkR_S0~)T-<)o{jw7G?SAH_J}gtwrH-s373TxK|TseK}df+*UD3dO&vO6dDD^k z&Ye48SZm(f0DLqZ5N4>wrm4-HYGvv^W?$HwQ*-;yie;7)?<*G}B$PSa{wL+l?tjTa zp=q$e3OVt`y*IJ+(rKBuUIxEc$=p2KqpERc%fszy_13W~$^yu9h$p{4<4tz;GbU)v zUWm*0Av>N90`BAIHvn|$eb9T?ic=iVMZ0CIQFU~X*ALzU?=xD{LWkkfmMcjwmlarya49s&c)lp}up05c|obMQ)4CkF2hZW!TGd}4`aQU{6@ZL$WmJNkrklYD zKOB*y11CE3y&HH23Z|x+h>Lr$D>s z4P}9KTn1-V9!yrim=|2)DrnMvcrZ-R0ER@&@Qkf_Vo$m~P)Ys$3StWrc;R4Uz@0v1 z);%T3q^?`f zo0^-mzyU+@oRFnu2mD^0D<}nvKKR@`P%$2@Qea@W?(J7am3L9xk$^9HE&EKrCmUJoq)ATme5sAdcr3-SD- zI4m;3*rKKLpudcZ?LP|+L5*a%mb1y%EpgUM+1s!GYJn(!k5d$L8Try`4{lK=EDs>kH6@pgtdP zXaRT-(Hh_o3nZV?~o8e84Ib6N%jA5k4=wF-<5~-FL4u)NmmD2Etn;-Jj)6kqa zy8NqIyp|+4J@j(`$A{Zii^uKGT8-aYv^0CZ(Vu?6*`e3e^t^{px1e6X^ZE}#E_Dv2 zoBZx=-)}xObE({o)H29{TS~j}DjfKi_b&B+mZN*T1G*{6D|&e@5y5ERBCR#Q)Fz zki>3W7fSv?GrgOu>&+GC^LSF9^B7B_;w1c;?z0%pw5M$S?uEbn{QjzaE=B2uG#MUz zt75REz^bbzl>E%Q9`DWhdn|;#dFCyQOBZg7eeL-y6GAfGnkaMEz4qK-^A@r0P|=9r zUgY|e+krjH>7Mg$&y}!3*3ZMP8xjAz_^CqR{&6@$Q_{~=j8BQndJxUI?0Usu=We6IU(Z}l6G>1=0Ok?U`QA-Jv_hcRhR!wLp|v+t}0-@_<5 zT0c9Q3Rt#JK95?Pj8-veeJgb{y^At)AX8t2f{IEyMQvzxCCzDJq>?$$><7B((S-&5 zzM(|E2SGuJ+1X@@DY?0&Ot-T@s7~DJJn-n8x|7AWZ;qEj%$u8hJilF9NB%MHx_Z}m&vT4!9gD-ZW1uqv34aD#HMQ)kcOSryPh1%4^! zed)Vdo<9A#o-1q>kxds8eC~&a5`O5i5?ybVx$Lq0R)46yyXqf2oEGst&Pz7E0rC-a zQW>|BjcbE@OI*`s4!7p}0;#xkB$L~qz#n1u|LvG&yV#q98zsKWT2@{@wzwF%yD_Kq z>$d9M3_*?le*QD^j{-_dMY#1#9&B%Wd@e1m9T{PczM$gvIkK;>kLIEYURhZgjC90U zZHS1NzBMeV%Z}rCB#gq7+4eiDQ?OzJ2}pyhjjA5e^0$_GI(v9}R{!{M!gipresQSu zo0z<%wb8?*&@0YA-+FD#!p%?j=A3~A^7CfVC+p3*tjZ+st;OZl)%(h+GJBf~Irbys zrF?~3Ygv^CHIGlpj804hDlq#}NcLGX4>gM&!>qeMNd+D~@wUyP^@Hk}PllBhof|&4 zGW8z*{1IDQTZe~z4>oBohO1PCS_w6}Xj{DLu-`?n_M~{d_cP68k*Vms_Y?3gG>&@z@T~LmznuwAhF*G!^ z5TMJqXgfkLWS7rjx~J1uWY28ivm&>>w^s{;>$|rp=jBzRf7`sWMc7;Hn-1=`KJSvV zsuUO9=Cwa)uz%7mQtm(aAvE&VbM0rVRl)McM*UlbMxfns$KOG3Ma|i#GX8Pa*s*O%Lw+L$N0kwWHdB{Rl7nj9>d78GSNr$LL~QDM&V;+EB*Ez76*%+4*3q(S|m(|N?bjDzA_&j z8@qS7zvMqXQYmq8uxG!$vx9>@efqSu+}jthzrvOxMa9 z&ubB{9jy*r=~P!a#lu6I;D2z%#ME?Uz`pX7uyBd=uS=$1h`+z$ClK@Alx>L@bDVBH z3gscC%Uu@gRY;ieR@u*HBJ4({7@-1mu_J`hlEiT)|sJ8 zz4r4*AZr-qY-$Am)+GG=MTb#I0lPsOSoFfVxw*Vv>lP1!gZm2#OdCjunM7&ch`4|G zy|adcHAFEtRQT>K!_6hjg;RadFTDioZDCnFQ>TDPTwEN+1s~HZcEXPmT@9re-rd`q z*juV>m~Kmc0@DRU+1Hf-MMi_2^1Mp?qokyy0j7H!GpPyV#lPZfVeLi!O7Lg$DrZuN zWT=LV2|Fbd{MNA2@3QMG#jQ`;_uNN(sk=UE;$k6L1p_Nz= zc$g>?G7fDZrpf1E=NFBT9fMAhT?BmU80-R%`J9H)xw&vUL94-bM=q-4f7tw)tgml^1s|#a^`PWc>ugGS`!(kY!MgVa~sr z>p8N@?mu{d2kZCf%*>4TXNOb$1=b<&-n~;xeThaZIZC`{du5`n$lh>$u7?z}v)17! zCod*@5*j*9@|xH9zV>S6i_L|BaICIAoLb}=4=bxf?C@9k$o7B#uKWJ|y5%0+9>)=~%DqJq%K_+-v#l4fB*m0}TH>ypu@&*z&L))9 z`|OaI&&AEH+&SYi4o&`@ZK_HF6(v!Se(X}kUM8XBbrlt!jS`JcsH<|=IQ+R#IMD3f z`1D+RAyj9$q8v zF@=4LPpSh6MB<#G$k)RFir7@X@y>Oe_+kQEupY{X>wZNGqOnnph(T;J98&CSBn;besnLi@lBLem7*T%)wjico~XQr!VM92_NK*QpTqqv7|gb0 z1vym;xxi|cqj-3sZEbCCQ{p?5C&?w#w(jx&bMhqo2&}UUw*0X_Oj4EKFjQ;`yDxIW zy!S5dCDfac>lWE@q5JMP+tUHG7CyAUUvr!%)TvnSdvo*i!Yg~e-F7V3T+3DV9jqt zwCskUQrc1 zRAe>RopF;r#$z@u^_?xiz?0{%XLG!G_39zB-!{&%W5?RJYGFy9K63^)Cnx8!@2&uh z`5i5DxG*R{p* zE~E~+0Yb9e>ZfA3bN8<1=gf?X3_G|BqT|O^QA}GP6rnuzB}>Ob!x|Vk>!P8Nk@lq)bW zm^InN(vtnwN}qW`BGjEkiLtRU%2`9prqTD%gW35-=Nhku%i5^nI5eCMi>Wc@922)=1qi(_)guJPVfDx{Ct5@x23uQR=cKW zY!2@33NW^+FpSq<@{Yyd$SH8#ENAnqWQ$Sk%+xO(+~nuyU#R$EyY*thI%_hJL$P86 zIM6-TFpsGiEr#J#)Mo-F_9nk?RSoQm>&Ax-c3eVz8o_U10K%VQ++YcZCWV%`&I#*< zOf*D^=;59|?ZxYG0u+;y3ySoO=<1;4)pm58%qric1F{V8)d8@>^;dlLX-}@-70Xd} zG1*TVNYj0KE4^MtV*kNVskEk16;5Bm& z4-Ze0`^CgYk6}Y!p83)>37o52ExPvQnmiJLXCEFS(m``553BFIojU(I{ zLc%y7Z)K6A%|dttE^|*UN_Tbcd1xpTF;c8Pw9ohD5kR5QF0x~UwtvA^<=VBhI)foH zGBPYeUVT=*NpawObYp9=v$@OSAnj7w8VP{2keQBD)2+p!X{hV90@+Z2o_pF1u!cQV zA> zi~zA)CE0-dV~zZl09RT06>?rcBU6#Nc{fNm*4JfUaO<=C*w8aGC#a>q8=mzx7P(-) z#1W$y^!f8;c%y2QoY7b2@zua6A88qQ$`SD&C1D7?oo99mrvBc&dtZP2KzRS%B|!PG zv2gPGd~|z~1fV6Ph&Qg*1RW$9^!tGA zmGv^JEn`+DLuZ8UGwgiXYO5tMNZSwNT8$8Bu-dqPounoZdBW4LEvpia6pJg0i0}r6K zqzzhUl?THG9xM0SkcKI2Z*R}GXgjTuWxxp9g+)-*+|*PM4(?GSm_g7SKrHFax9qUZ z*#C!`I^>dVzY*Y<%fM^t1S|qv=ejjLPA~vUsB36YnlqwI5GTaSy|=zVg>FT_ezxm4 z8ylN;na4%=@tanUUHGA0y%hE2Gw|PcU0)ocNAylj?H^R>G}3P^ym!6JM=QQJ&%Zw1 zh6_SK-Pb2)$m!_9V3im{VE__e2h2#zjv3^bAopQU0_guVVqOC1CSXDYYK5@=eu=_<-^4m5R-RM-eXnl*r$Ip)lDZs3}PO@%V(=U&zq1dzm zyFPpN>?qW}?Vqvs^GuI14C;@}&6{NX`IdoIRgw%6ehg?XK(WAw5{`9agxGtPgh)UJ zQfV5efsqgu+HLeUtFgzt1ftf7ZVUaNou-HYrv|`sCxFe9*_y+#>bvQd znVPrdV%hWM5?42LOAxRw!WQE-Z)Uh2d+7wwJq7p}cs+jl^gd$sfURKOoYEF73v>i5 zS}`Dj(y)RM&xE;11lZ7QC~*3;(~Ygo#1PQrDr5hP!of^(7W@V}U8lh0DcfmPU~=_p z==R9rf!1K5Z7iYWV7YgZM&@L4d$>ec`PpY450JQth}-ysV<#DApKsFa0JV8|@#00q zh|ZioT?ew<_1`W22WPAV=t}u~ch|{fq@`tJ6wd`ecn}J0kxJ!_u;#3%$Qdy){rQo~ z$`2hgvanqo2R}QGgVr#!yuFKhaChs!)ow6$M;008mwC5>ap`x_)niLAmET1wA3$#Ftq!M9(^ z>*H*GEvQ6HLPAxblhKZa<+e1u;4lLG?)H1l}rJpu-g$6!Z{~ z?Kr>+hD=Q_FR!#;d(db@0r*g9vd7RcGI9ZXStwk*2J9+^Ln{pAqa>XSDtbYyvvz}@ zRnbk-(9*KS+%9#?=*`d-y2!#Jsgb5(^5eB&J&?bLX=!OB4S<#N2_^AZ4nWpOiEn`S zsXKP^e5jyRCs~YQ3JnFtSzs!+e?u8!$eegBXw5MD!Zm`LQ=26?I5^CzK*y%zeZ)5K zgYbocBIO+ zzxztxaNg6cgCx1|y5(gD)r?!=z*orpcV{kyT;gDdiDKZp6FNOMcFN1s^C3VevaN-I z3rEPbGW9IAHepkZXB*eny?x69BsC16xyjOSc|8n|;$0g<4gyl9{B+%Z@5%YC+o~>$ zUe8^J;)+wh?F!${w|GJ*2|y?}pX=g9RiE`X1vw!hp|&4CZajMQh~mQamn`w3o@(ss z{aZ00zK8#a6{6N;*Gx0?hAJy~ENNQW|L6JBr$3$^pO|o*@4Yy4&0W@A+QmfxdH`d$ zQu1C0^h;FhkPHUZ=Ehz3Uzwv~H)LhqiF%M>$F5*(oH#Vsk*Z<}=$ItR?}F3wHj4+1 zcX9^`&0Cll#C=|Fb@_gr+#(;?bw-*hh;!#QW}CJ0$ZqsW_ZzlSQK`BMsBJ5fQJeYprJ2vgU}P3P(}NsopS_q$6%cddD!#3 z@T0+6F5i57e2@n1v)N~URYfHvHkKZ0T9DANM_}djNGd4%4*7>$#Gyi36IwA!B_w_$LPxwa31Si$;gZ(W-4-XGXvIk9zB!4Z` zpq3#Q0*H65)Q8G8+hO*u}nEm6& zL4Ig0A5@cr*Y{Y5{ArBZ7|mlZO#_--#d!{THRvcx{%6kjRKpL4Z4qlyEYW^s9p=|i zMep{pU##}7&7xr(jiT(oFYX9LGXK7c1&%^f|NEM3|9q56lP<51IJr&RvO$P0;wCEv zj3NlOG2Nseh4uF1RoP>JpTrEE_l%-gH!)8s#Fb zy}dnrrP${1uXSdJkIPx|%VtbdQWA3!)=$|_vdz(coRB~Yef;a4xEo4S&Qsp<6mk?4 z6f9g^ConPw2E9hHKc98F#2Ic}?Cz!5l;tK^Q)+uAIod|NG{Ca-xF50fOwMjSx|NQP zy-P_s#ljNMaST=w=y?@mUX}OSe18=Fj8RTapNuCPO0Y51jVZ2R_;delZ@~X%$M5-d zszhYF09+(^ZJjx)t#NK9!mN(#H?8Aw|KQVIaXO8GFwRD5xyOjg(0=6ogJ;{R+S;S8v=1dhw!%i!tkCELeX@$;lk0 z^nXWP79z!H0B}MsB{r2aBfBs(2&^3m8a+=Kt{8|@(rjIzD zTBAE?WUs5Eyhc+oDKszPyphQOy5`kgWXrG+w$FiLQw7!vVlx0LNeXl#pjpwHx5UdO zi2EXk0Hz2zRK3N{srseoQpt$!2S6(%2A?7bY#l%w2ntyGH?nyGWC|)O5&~f=7?>c~ z3CUppxZR6wyi?=cB1Qmf0$c%O;O#WxK9`}m;a~|qtH)q78Rclt?{`e+rX|71ab1vN)@J~SR zK?san?{fg?tR_&}E`tIquxbm^osjpy-}N{xUW0{ye70|%Ieys9T;KT3^YO7G6nr?s zF$@jrYs>y~QNsmf>7weX%Jua2W%q#hBdY?qfdVXn93X^e&z(zzn+pvOuZ5BG?Qnyu z3H=2JGg`WMg#7{@SmWhTOZ~vhOth zGe1y73LCvQ+c+@aAGp-luV1S`0Zy@f_39N834%!&iLl;McOIzw!AQjS-`}7XKiD?q z)Gz5g_3kw+EKrNWL96KxGHeDa5*ihy0E&X+o~!?$24 z!m^aJvSJ5jsXb;2<_f%2yXvrTz2IRB?zLK@+$t0Dm9{AJCx&;V144-IW0F`W5$zFC zjjud>V}V2FH!XN$1{U9J_FHEqf}#h58jzL6^ZJr)81#LF%s%KAahtWoM*yoTCD%-$ z1+VcaDbpYS6|f8pWP^R>{w*`lpI{Vm!!tV3^z}MD5<}DRr4e?))yCzR_^g_36ic!9h!AHUgBaF7pCOCLzVRP&YMlQ#aTf@G9z+1 z2GN9v*V3P^tVDCYD@m>t4IPx;yE#|-FlxB1qR67HX3^EpPu#3I?jf}OGlGJYz+i)d zf~F#?tlHl_TrY;UCMqWO!wX8QWNJr@*9rEfo*rt{*==k% zOWYR1ka&FR6i#(@bx{}hpQS*q>5FQJyxBb*`8>jyvh{&m7)zLBn?8-PCKDi;(jG98 zzW`-KT^#vejg5`SmnA-0dt(4Pg|Kz9336WTeU;BULbZ@=bfqC7o}p5fA4A&o3!9Y9n6Vo8MGIoVBuWFe@$RKo-JQ`X8*kFE8de z>z9@!kor$&Zk7tb=BR~~0RmB2HyHvlTlu601_p%0#C70gv_UQb>wcmRl2fkkb^YWv z%?XIy#!MslKj`<^1`h z07+y3$7F+qF1q^l%*`|n-qXPt!4^M8&gkoTM7n}YXTJ)$`0HZ(lG6WpU&F7y6kuwvD?lxbppWX$oK-I z@g3G^2J+zaP^l2ITQ9_W)Yy$6Bfr$$9yY>B*d3Se@X>-l{Rm|Klg>ZCJC^XEJcE~) z@UYL?4bg+`2~>R$Q3e(I2&Sf{whWAAG^c?{=IT{K<#^GD2x3Cn!ak|kUcYut%E^fj z1YHu~nIF1l2g;=XZFH32ZD`W+y$V=aI5V30{0vtXA(iR_)-afv&vCkV?gb1J0}7Jo zPd3@lb9?`KOf=YZHL<;6N>%V+4ff4Vm@D*Y5nm&a_++%CVot%p5R$_&$oSZR8Put72q-~%# z|K1$1cT>3zo*c?O>~1YZ0i-lWypz}X2vA`H4B6Qw?n{v{f*`{)bKLs$xjy~h`_hbH zx#d#LkmNM^^JmSsZ^wazv`^E~gK+-r83kxyA`e)b`~82ii}(5-C1^31roizh6`aNU zZ0fT|n4hWsW5x|orjxTXph7k-ZNJJqZB8gf&<>A4@q+YAn$yP`G3N^vU#6Qc(na*< z-aYQMIX{za#;9uf-%wFgbMaN|K9k}Wf%2($?5VDAtU@!#A{xYd38L%o7ZC`^0jS`< zxZ2bO9wZJBDAXBLH8dWOif>~;97&Qt{q2dNdbGHlAD`ag!_kRh2w;eiE~hbwkpd4G z8Yj|E0Qy4GCENLzGK`|8ThG706$e1-vStl^!Xc44SGIm9tVYQ_{JQBLqHM0u;v5_QYo^> zadAF9yB?LSenW5v?vS$Gx@|Px$-$BV=Ib z4V?z?PaxQUC};o#79u*RP=np?*l|fo`IIQsU67FoBIF@*109&Dq zXt0BzB%Ok~UwL>SQfN0621+Y5*y_wdaM6x|#0#LtcxAkvQg{iO57qbaxA(V35^u8d zLZ-oT1TY~&x8D;aKpME0t6gAEmO`r^YDgs`POu4UcYeV^;Zi&-!DFbbTsM zB0&_~?&A^%+h>Gbrm-qv-)#TG1H$9SYZ1cD1!hqPTp-(P!z$mVFL$ue9V}`1q7j4@ z2#+1Z!M?`|k&1!so7YUh>=OXO7JNaaf3u$2@GZPI%B4U&gaAWW5;df>N4A|$_h3mwJ4K-BI3H8*!0BP1jY0ABOA zTHDWgpaF}Kvu`);?Kb|}_)Y49`h`C{{vYxu9W+Ky=C+g8gW7R0L1vuSBu6sikLHU@ zc3-LT*|!v-HOFweU30kS3I1uo0>dH}Z;O+){^~6f$}~As0IF&mU>%>8dTQv~xCm=N z?HMoVF$e^6xy*A7jig?Q%Q5hDUKXzMW&X6122Z?wV-u(9ZdfU_^`b(_Ipm!{c(BZ5AX-L7OY7Ov-0~Aeiy%^yu*s#|eR~aZN zFZu2gfnXT{$PhaGaF<;D+S(d9_yF*QQqln(ol78~x^3Lyn|tB2lJ;0WIj7T<;xIgp zg%JDH!T6>C=oF$nU>bgb3WYYuZwUTj0U+Wb1^(L$9s&$SQz1cHzOcs8_-c)j-;5Yy z6d@4E{0C|tP!TR9(5JRU|Lt&#;*nLSdoEg8_wC_bdF)2~m<>mre3agp(Gwr@bH${x zl_>?Numz=0%z}5i7-tNif5-bDc%lz6^xdHR62%N1CmW)Vkh>)S*Ax%4{^~s2$p(^k zRhnCJQWA>py?g&&@ys(DDV5tGfd<0{?S!kBRyn`EwMBrzH%~)7!RD!4+;2hAaa(AvPyab9k^-Nh9jPi*65i!O-STjK*&t zAW_&ezY5f+k%5<*;7135sTTel2HO+DxUe(L*0{Fr{k?xXW`NmqH?6)M-24#m_Pu05 ziKOxKf-MZx82K4_EIYF{A3|=R6EmZ1 z+h@lKhp8sY)PV&M4Pj@809~5^;)R$kSQ366!l-1KnVm;W5d`&d5MX-?ZRw$odv;{Y zrFV@Z&+%VAJ^}t{9YlWTT?}o{E60U`)XiY%w{uQ8K|BKTsHju7U(Em@hG-;&eNo5A zhE*CT?%Qw2_z8SLlmP@{uK-PN;r-3wSr{7#QNVV>MQ#?9<{Zy8GfwU7s?6{2u0>}< z!W5EZqfkGalMGP2IZzsCd?xj;j5{d%V=nFq6SpS!=1gij_n_cgst zLvq1*h^N%MXag<(n3y04s<1hD?o7RC`*fQhmUoRkUAaCR|eP(wT~dL?~&b5Ng{A<)QKS@lVa(7cV|4D$B6G0(nznr7C80?&u3kN zcddsh;q_d-BVgT441f>ieg)`GV9=t+K(a*$7fl9qHLE~pR9Q%|N&>Rt^*`_lSrd%?fpBtCQW6SzcBX5Q!qz#0p>!Xh4%Ft4;No6% z9IqoX7ydl%<1k#?Po=VyQTRW$DickidvX#7H8A!c}ONO&031g{Xh*=f6m(UKJoC2!MK@oOy2Ju+f;XdH<#tg-j zzGolgcb~L=v`7Q`0)#W)f}G{kelkW0)$A>RoY8>=`#m)>bEPtMl}|M^OU&&y zy;+BtksK;kFo4^oizT>Voab2%&b;;dRw}$2Hcv@GVFb+^%4CopcLPM*5g-P}kepiz z<~Mq6oq{DGc#KanEzgf>@Yz_G*m=Sug*JWnVG5%CIdZdCwsoB3V$z`t9NiHxD}U(z8f`@g~O-?xyJ{eMBrDyPl@@IJnN zUM$#_F*vS_!G+KDzFOL+`M-Q$^ERUUPXUit-N3!*&>=Z}W4CFsnJY~*oeG3cvD9x% zkgd4S!XhHFm${L~E&^UGo|L4MQ*MXrb8dYid;29_@$(}m|AJHRK%8#hMW`mydU^~< zDJMJvahjWUZ$KA&3&a_c|45#PU-atPn`wg65Hk%ByR}anf<12nL#g}%a#Dh7>gr=t zQ?5!4r6XOiC&5bs^Sw<>#H?{^(hV0mhwx%&#Qn542#!oEusNUYu@L1LhB{~4_ut+eEPd7Hqw;S@IB`^as~82Tp+`>-6lJMTQS%r)0*498 z1*WR1>H!|b3b<4gL+&Hx-^5&-U#nX`_F&KH^nIB6PtMQI*CKx3VY$xK0&Bd_ay3gO z?lKOLW|UX77%sa4N{-*bj(MDzHx<~7Qh>k*hlW;KWk`*GHNSCNcpfLsN_gatWxX&! z4PgfW+V#LzQ})lLruWJ3p)3zv1Oo41U<1fw@4EQvy2oPiFUb0zkdTmoWD-8an2T_829j@QMf44&0*DH1VF|!Ns76qYdYHJg_tPofJq+i;dI8y4iAPu|xZO06f zWx(T7W1slG!ETF}SX5LbAf27h_5gD2vY=5ULWm#czy~Uv(3{m4@$r#B3*Op~RDg@* zbh!x7p3mMwQA))HpaDpqdlDV(JdnKhcZ9z(;d16Wk5=ITsHnHo1*Hn?kUq3FfDtFT4=1SU0Plek%Q)t`{T(;3S8T0{|i*Qg}N%JJWr67Z4eF_wKCA(l8^4 zP{>8J?{5YT@bTlv0g$ppWr0T6g%!N@Z=8m3?gb^z4gL285oZ1kpxo_D&CiyEsJq{u z8$%Me7lQgg*B7MU0_Q`73g~bRq|$SM_Mtp+605K#Glqm1pN%dpWQ8H!h1$Ra2X%eF z-zy5GP9T^xK%RXWE(KIZBj`5m6}sgHLg4(~hmOXuva$klH7~N^p##0ReE^;c%CMs- z1uS#vj9Vgc0}#89g4%y2j^5~vvbNI$gOx2fN`hW?j0w_L-M9@a9)a~=YWp`XBxh`V zDqkl<<_%R`~=1zYZ!zQ;UBj>yF!{$y~i?aT1obADnPX3 zP|1{4RwXIx8rJqT5v)+!A=#f@mxPEME0Md+r$ z8rTLKyS2jCyVR7Og6NNV2w^`aTg7 z2E(a&Y5*tGMSQUv`5_+;iR#kAk24=n6;zdUM`JjCI+gTyV>a(n65&r$?G-{aH1;_Mxj)iu=_v` zWNJodW{yS3_ezE?}VnNA-MmHNK`O=(bw|gOcTX+S-UKx#S z61|{H(1l5>gip_*xI=4Vpnmbw2JVHD-ohBs zTaDt+=A+=)7y#WBDBo`ZZDXH$B-q%Fp<@Oc{e`ySfIPb8d* zAzU;Zq+xb}K_9ff)$Qv1(+f;pbX2V!MK_Y)zJ2?B?j$YkLjbV7Z+?LqH0E#urnh3} zCp`+)qjN)Ws)FpFf7E7+AtZ!UXtV-NA)f>;aq3cPDX6znWDnFT52lCtj+?PDXt8hm z-Q4*f;&IF(t=1y_5G`@`qBE2gNOwJ27luSASUPaBOb((vC^w2!2SjGEQONCoL2At( zYAI+%fuw^^2IX`hl2y$4cCp6Mb3OH7Cm(sUM3a~qXY zZcFd}A1=n?j?Pt#7mhcS9qi5_aEJnCQ1v0@e(mtsK6t0S1=iH?Yr!BR{)YdB0Ehy} zIqDl?qN0e}lr7gBhX&>WAr-(8fuOKeL&6L&j{C=iX1y#BX*0X$w^TSIoRfNehNoSN{ap8|6((@8(5#bD54?_P`&tS9qjK(+6KTe<=P$Plg*Iks^(r;>0)jgzOp6>gpwy2bNAnhx5alj{PvLo$ zt4$mp(1y@iJ20hDa2^n;+(A%GH0OnV|VlTcY%LW}618C(4ut4{tA?4z$fqlAU5rzNF4@<1& zA6t+9&EqKMhIW(B^HuLUD^{Fhw#2t&<)bzp*s<+(G$vRj_9T0BL|DP)%UF8I#j{R? zyFGJJ=|NhKd~0X1Il8=ms&|EJM2_GH&qY7a+vvOe>aJnoHsKa;3vZfD{3+7ZJmrBH zwqd_)UEU)@pH!rHc&SFOZ_w9XuXW{cMS3ZyYmvf8A zvw{^h@5I-IbXb+m#R-%6{g$x$0XOxMYjaCFvd6in44poc6t)Nwo$wK?P!oBPrO&h4{Z=FiEnn7debuptzxA;rxV5PyG8Zij*+pPywl2N|GTZIRl`E-merwG z-?)miA>hC6IGw=xB%7~ccW9{iiRslZolZ26PUAOZANb)%nzDzRN~RWLay)hYe0i<7 z*6;H=eJF$h$R!!}BcT2oR5w78f#Nk8-PHp313E(haWZFGsHm5a=(*i~a&!t-!culY*a^~T(C>n-_gZ(eM)r_(TJWnP}< z`%&vFN>A2{+f3^6pLdWklAXXVd+e}KG2iCgsD<|^Wu=F9R=mXfb{Ly6pYFJwx>EV> zFvgQaMaYv5M=;~wO+`DR;hl*$eBUB%1pXPab|t`mzu6M{$sA{B)|aR%v!Y#RiUo99 zr@h>p8|3@8nKi(CY~v(`%>>Q7bgf#sHhsylU}9M|@B)V2mb>lYIr8o9^98zYN>e)B zgwS~V?+wq&)tfj6D!jZ!Pwo>#{QjcJYE<+$&OL|aT92Hah!B0T%Do-FZ}NKzrv0@Y z?|OLVJ#plICaHas-;p;qn}bIL9M12MI-N-2F=85{yyt2A>sprK?#j7$)bC&DT{!H&8{7j!h;E9>LD-DlBP*Mm_? z1`aj=+K-?UtO2PoMKE*GZNCYfd_l)yA%ubeHj0iIL8y323$%nJ0{O%=GW;(`LR!CW z+Fv&!&L^7d_#E|~xxOu3A>-bYDS2Amozz(I2$muitjgWIvbJB{+Bl!anCb^f!&nz?@dEDfcUY=sB zQ%pr}K(6L}ZeT-Wh=wisX&Tv2ax<+=kJ9*A09t(Kq=#e}ca1mye zm7A3(eFVhSM$f%yq%}}Y8K;mgnOOWuQ6rMZex2Y<4+_L-?b3O-I$DvUke<`6m2;Ge z!~9#d<4sg;r}3rZ*;Qs?YL={C)`+}}KYb0}FDGumkEx+;_Jeitl!n z#NBKgFOmMhGiTNwak)U5V)7Svkrz}fTPZI2aFFpdnC6aK#rxE8d&b=`!2nquJ3 zR`z@nXCpmIPx9}ke7`ps$)Z+DC=t9qK`w_X~>)f{duOoyuW%7@=<4HZP2*#{G zmu^n#lqIZ-bDD*J8{v4{_%YBYC_-|uu1e8!iePovS2%H$Qim4Eyt zd_{xLy7i8(^D#`gdph*F6xTu%JDyxxvN;ox7a=LWn1-2u`0-Z!UdD#oNTgX@7xqXm zKgIF%l=x{TkQ|OyrCeSlNXg&{Ry%6NHg#8`zVsc}uR`sFgUrn_F&XZAf1{PElqP%i zj$MtKU)#;4j?!L=9|(b%GU1*|pGOC;?L{Pw8YL5fZRO`zOUR(!EGk8I>vO9NqRbZJ5e0|&#o{w>(AIx8}0i|xifsbe9P)~kkO&F^a|Tm z%nnbXr}k`~#q(L&U3uwK>d$DID49>KLJ6JL%gd|1dS3VTK*u^Zy5bcz0so4){+QkC ze)0ZS%rAq?3mUgMvsn@ij(Bw~2Dzs8TpO^(d4T`CX_l@SBCeBR|0V;5OjC1}$E>O~ z*`77E8B>c zv@tHbFOGcHu{e?96z23erSiaDl}dw;(!g>fOk*=#qEb>(Sut(lnNQPg+{&ZNUE4JP z*X#?5)>o8fc`m{|QO}QSpF`1csr<&4AIt z3poTnl$U@b7-!%x6*`yU;c*!r@}3ajc0bcDF&+vidh{A7-D6!j}Y?d z?0)>wgLOkAI@PZDP*3j_oamE<6Mao!`VoK}1Wumt`~X-)fGI-&(W4-ya*-!EU*P=5 z7%rE9G{yosIyiB~QOP^x2tx7l%1W_$1ILcvh#iZ(>^cjp0A)YET49=ZpB$LJD>oXH z?*2Nw#BA=|{JcL>C$sSQ>-&TEZyIrC(=$$`Y(AA&?#nnyx&M7gta0x1pYaPt_1vo?(+>p-QsBhg-3s(|$(eTwnPo`?wtJVw=qG;V08Y zJZ);;xl7V~CxNYiu|O{(HCB`h{|0o#JJbA%jOXAo?-QzesSU6Fh_Bqcpdf zlNFP_3Yd>ce_U?&X6WZ9LF>omPLwRAYf(~w-i6RHGDta;E&$ilhL{7Sa4&i+8-Zsd z4T%j96}59r>Te7HwRtY^h73b)8i=S;kbndKus6pvL?1+<78x=;(AJd(;7o@KIyMD% zGfK`ytB9iqZ7A-ExJ(D2$2Ne@BMr+6Bph8U5qRVbuyR;4I7W;MX9$n{e@cpc9C9f_ zz5z(E@VJOTaN*IprsLGym-U%3B!NQ~39gQXkMAFVlTM${!}$UkSd*aSBi;m7uq1o* zlP9W+-s-F6SitnO#rL=?>Rw!bJPDTa;YxoA$f6*v8X`D0z1h`cB~)6V1cSK$7Stoi zw!7^PqLb{9Isv9mj*U)C;7XD4n$(4=Mag8=C&4kLJ@e)9UoTG0GWs{3^?FSCD%@eG z|8CrO(T9d={?*-Ux;d+Lil`T74yNxJ*7q`+Uc9?RQFbsew>`bApzUaaUm=M5$K5zLjsxQZ8EfpKS~gup^tnJN`LpTV_ahU^IXHr5j*ksVxlJ| zVj~;gewCVL8fMIp){#2DtZ)Zh5v^Ks?MXgPp&fjc$Bir>G?r;EHd>rGKUIQ6PWFk_K`8Y5#4=Tp}?F_EREEhjy{kIVw)=01yGO zfW|xEm5RoD&9Wg@37Lq>{modHg{E|S4t{u&i_da30odYFa9{=f3=|7vcub7jK5`xY z92id!X9SA>1vKloH(B5I%(X$nLf6k;F&bn^ao=5J4ro{STmcT_(6PlKB0>)bI_^V) z29jGiZl zTQUEVkW!fVj1Bl<==xz$YSYOhcpe``$1;j5T0L{veCibx%UgfrL%T}dwX#ltvHeJL z6eiLpJoknCz$e=K?+=-=D)TDrj?XIFbQGw^o z$XZxT+m;KZz=1R_IGzg2h&|$EsmlzkfF{R_!w~*J&I8I5!NG0r8)Gh;gV>ylG(3|D zlZ2Bgknv9PZZ^84O?`#uQbY^zMegx0E(b!S6%Qx#@4S@DlkrWt{;*+AoI6NfCrI#t zR-=Yn;xk*i1i5@k?yor5$)pRCTv{^R(Juy6%xjV7{qZ&G9PgIb0#_3JKk?wZL44fWQEnF=Bv3mvG-NyirbY^u4z>s7WhL+Wo(&=rlB4KEOd^aAWbn?$dw%gt z><8OKF}c#m*Y~1H9U+PwKy)7+;QHsEf8Mz@rTfE!HsZi@1h1p;c<}Y}C&7`An>D|4 zXVSJ(C+y^2(}<{p-{!Q35@5{?i~q*@6M@Q7}$@m6czc*aqt(5po@3GQYOh{9$aiVjcMX+@CLGKRq|K&&X zv=)^8P72a9&x#KAU&9Vq-uv&q_rLpb5k)bHy_Il0LWcLDre?IOlDRA^ z%1r8EuAuntbmY1{G^3Xgh8F+5Ec0L4BIM!0VQ^-EIZWX55JQ9=B_xgpjzuyQ2|y=A z$2dUUW!&tOX23{PgrDhGUaIdQhSY5elT2FK$_twT9vaHqbw1z%A|Ex|b?z35q(dl* z4+S|P81-(jr0|J09CBtur*=zy3t7It@~hbB)}5*l;(PUd(F?n47##*d3u<`c3|h&k z*;0xN!LuYjT`4%q_qFxRJN_>f{zu{LvZkfO z?Jq1GZZ9`nj`O3rB6o%N;rY@MBB^_s#`-BsDd)ql5oICX!;0WRqse_WyL~3nvN4B8 z7MG6zV`jZ0bhy&4^dmbS29_O8a1|4q_oOuGMiLw-t`-h^{zPk|Lm#NOy=xrzj!aA&sQck^<7*f^^5fZt%R{`+wga&lu-9B4JuE3TxOZY-9_?w;fq#pDJ3^+Ji;4tW z*?g-~&4jh3y_Fw+7rJ}XZ^%U%#zlBOZ!(+$lV6=-m#w;)vPZ^qNIDE~u#g$~{Kbr4 zQC+koIzBW27Z_x5=BIq1rL4b=ZGZ-hLS_YbOC~FTaV7qCQp-KfJbDs1dvz|M%37>K zi>QEAzJmzp?T~f@R5)O7UvhZA7DCKHqW(7sR{*zlxBv0qd5|Y~ilPJ56C{9N;sU}{ zjbO7u;t(K#=AdTE%>G{R|9}OoX(PgpYqe2Ncd$fcQc= zL6$PsQc)AbflWXM3`k5Qh8Xi;`Y(a5PghS*TR3Oax~ABtw+>K|CV-nj)j2ju@d3EI zLs?Ez1k@QoA|rs#8V>f+B2*y-q{Fb%4`uv7-q;T0G9cz2blEUBHxC+kz|M{d3+NK!eimt({-#Z@Otyytlm?JkU?oPK+k6>);$7z!zG}%0a1jW z=C*^N8B#a{yO_ z0&Lw`2y*05oW;Y#18OSYgUV|YP>&9feP1y75Cg2ZX0}a{^BW?ti6CQNJI%yPwASYV z33CCqTRIRl1a*RKfQaWH1m6o%D*qDsP#_Iy+5v&j7O3iC><8-($P!jzl(V|q1D<&j z(BXslxnSQYsQkE}S@6^P(V|WV_x)UkrI-D>hgd$C#^WC3&C;P=4JnA9BvG=J&|-fG zjSc`Pf$~B2u|#y8ydLH^6=`Z`j4j4(Cyn}eLA`<;tDk__4Dp@b#Ly%dTn4Q_TKS*S z3n0|+bt)Ik0ANz=?(XvVOuPw}DNX#WM^gRgqkak_5RL%}XABjU0Y@onR%4Kj#3LXG z1RR%o_02g9iAZH^=k8mH+p_92FTWCqBtf(*FELDz z0oR%Gc_93iDt?B+@%3$u?y!hc<($;UbqgqZ&@=^!U5GUTLc#>gUR`yB6~EcUo`vfafcZnwLM4>MF|iGw1nVMq z{T#FL1=wCh$fk(qlWz>b`ZzwoEXz}fvEfBkF#u)UZYF5{z97SB0wf)w!fE4XQQ)8e z{WsA=y}7~=s0~7FNT42t2euC!(C7ev7eDiW&Jl0o{N)yN;o*Jf;t9ftD`2~dmkd#O zx>Uz=O9=FW-s+9lDhkJk{_S^={iwks?5r+*-tZbqRQZzInnU=KNEg6x)PjJx10-rO zys2HCXylHjk)xFV#~wF2yeyO`wOcd*1YY;E85RKGZ3~uzw&^pmT?JBb!}K&@&>P9reFZ4KWmaLwjunAmhZ2oHQ&C&=`jT;f{(_ znvc{yB-qB=inzYy`)GVe{7xf8Lk1jd?o@S^R#e({StNbwx+S~2$p7)@^KId5_tZwS z)U3;jE_eVN9*GQz8do|#9N_WjqL(r2JM-g2L!UIPS-(dg(u0j9>8Qt3@vZ^}6AFSj zHvtBWAvCB-*ImwuCruL0A%ik=muykX}@Kii9wwotah(TR=Q>t zz)&p!K{mlx9)1Kc1ldut3|;YuI?@=+Q3x;qd9W6KgkBH_6IsVu1!O%zi6uQ$eGS-M zG^moZ*Rpx zfC-KNc`qkLB~#|{%EC1snwJt_s!sqV9O!Aug1G*@?DOoSc5B{6h?EEzYyvaydMsF2 z+p^!xNr7tqHnB?>D}PPTP7L5jbVqAT^FwJnQPF*FkU*=L+R5FMs%)`D9Ym6c&eusj zkZE{BNxaOMS@0gL9$B4%QGWBw-WA6rB}O3a3do-v7_hgp$bqR8d0MP_e3u!KUGWy1 z4?z@+DOOCKa?Xzg19|aREI0V(Q5j7RUc4ADgGp{kG*9ySqidlB;Q+B2I3QYY0YYe1 zF#zqnkYVfv$sHt^_(996x-VfmMoU~sPCEEv1e%YVGrEyD~V<`X=+PDNyA2VqG`(FRwM4!$a zr;o3|th1NNPw_corJV9hWaO)&mywPpvY3tWEnhWQFh zQGKwYLV*R=htM(7AalcU=l#{ERv^7OR|Io;n0_k~EqyY*Vw?DSy@wXECZ&DNCKX9s zMXg+i1v41FF6Bqj5wdh0V#t2>e(}@#bmMneU;56_= z876K7a;S_9ZumP07a}4}N5%B5HkE?;X6K>m_G;_&lDwliIQCzALNDy-JFOxbVwK3@ zx}bHfA||1lPdj2m3v9>83tH={F&{p%;0~Z@l6~8CAaiQpcC%Dq_b(j9Q!(f^_|*`Z zlouTfq{9CVxk9Y&uUAB*b3h%kx4-jVF_{D)SOQQfrGeBS)OiFg5a18+*VC*4&*@!Jl+`Q8BUplSWn9L*yu&)ZhI; zViN{#0lW{&!hG(zxu#7*WDZ8e@VR?WT&pB)>~+FdF#g z#N-A_s9;>FVv)bJEnCc(;gu{ymfVm2qRi1s!C+2Gj53;cgEvRo$t&zK zGQ(^BdRWOH$q}o_{1uQSvICV|uAHjK3d&OWdsyRlH>bw+WQ%2YN>Nl_ZQhp-RXul; z;{9k(@!j12kq}uzo1_jpIt>w#o){-PB0Evn*A(*caWlW`^)!oP?WwQ%hQ9Ga+c!nq zznPcE5jY?4szvYm> z)Tn%|s119iw0N5;)QipDkA}zOS25l57vEK3V;=3VF7NLP6LyWDTJxBZpg*#g9ZTWc zCFO$oD+Hx$8@XCb5y*rhBbZd<{DIH894B)mBxq633&}1McP}o|9Vux_ACdG$Emw7z zvF2%yNkmaJqUvjHb=_XIn={(vLx#D05<*SB2|hee+Z$*}O|+t%$R3$R{q|LlSxRc* zV)>r>#N{_Ju)swZE|cV6T1!;o<7{}dDPuq^!*v_WEYH7K(E4*_#Thda`-lkt0ciJTV9z^31F))FNtAfMR#;?fQb)HR5A;= z4K}4}mZFLRr2&m*QP}*XA41pZp+-IhJ5j^ZdGjv(G_~DxyOUomS>KLalf5(%QJ%mh z=&1U(wTJYwvu%b)st^B;RILb-VLzSf7#-*tm{?V8wk+&{I+}=1YIuDU6RsD(bd!(AO(uAfhDQ{)zwq2g93`Gj5`DY! zv&N*q#}Tu`S+C2>bAfb9nN>e71|BwM6Gw)XD~}IUrEh0E5TG`|#DU}-%(r)(9c4U|dDD0lF9ZS$1n?CBW<{C2d6J#1M zk5WRGD2D$|?w0_a&aU&ZXxZWQ`?g*8HS*I7NEzd`f`eLb>caTjzL?R+A;v49Pr<}B znyFqqFn+dEg;)faFxQ3mG@ekCm03zMm32#j!)I*F-e z*)j(fR@R3U--ut*i+o#Lq&TVjEw2L5l-*nvh>;S-{7(K`!aFER1bE{TY3ES!Gk#15 z0ScJvT#YCdwmV706*>K+7}>SZjl#~})tBAh+ys~V81HX#+D`vAkEz|yL>)2-tRBS7 zZhddN)f_Z8m=R^e+hw44e8{6#nkY)FslcMiN=k*s8b8B%)U!FdF!9BsTuo`yjQ*ph zsv$K45^OSO2-WL^vLXFR&NDdlpmvQvywTC9$&bhLx6*g_{5&p>`;8v4b`bIEy!&=D z+{7bmq=n=Nn7Tph4jn#if$BBknW!WY#}-VY7*0k_GwYn;O}J*JwB|cIt`-)bsiHhQ z+B3%$jg2$A5xMzsR`F@|fRejlpy69Kg zE7-Os3W=3SwH*S@kdXNO%gwe@;i8DX5g)lHf&W!jWO+GqUJP=aTohY~B8sartJ;o6 z43%$yMAG^%n-JB$M>4~YY2o~pkkjB0OzPbUb>}=0oQy*d;otX}4S7Ex7Qnz?`b((8=Qpi!nferaShE}cjIO_dJ(fc+>MIc;7w7uosJBk0LtBcU z=+J(voc-dpN32Vx}gPe{UPB%M#-=!VnCUC|R0i=k*r3$9m^ zSTtL)Dl{iYGX3XRUAoP1RnJP{mmOg(qmiPLt*vv#BUD-nTcL_U!{>S#;=tq#x0CM! z5$yAOOn;6s6c`Y*kBlQr46`d_*3?ZD8XUcDA}UmwX_&QCk&)%sm?MbTEWR?~i6q@# zCuZc{6VX4l_zVT2*x8hlpqNB-``#CF+!)$rV+SU2GE z`%&$xy;r7z$(-m4M~AYsR!F+KM2Wf}pUf~*#-FM@=^@cS`yMYafmI*YGaa@rYm;m- ztH$tN78M#C)9W%#Bk zRt65t2u0gOp9B%Ex?{(CnJLbP?XR-6~iF zjGKQkJa#U1@T})^Lkd#!Q>MSvzYf2OzI~7(>hqiZY07@$3#@$SpZek&b3#=m>!+^` z-ahxvKQh;Qz#fD&Y^!X3UvkzPqbHrlCd;q#rR`wt$=~p}?7wi952vZNup;iM#L;J> zD0UA@Ykfgh{SvIErw_?n5W-!nj+Z*r81qhBH=k;-%Y4cI zy*A!UJSkQ@+L4sTF@4GkW6a5Xy8tcWU?lWoFX2BFm$zEKcVpm_2n|<1``na!snJAL{ z6vd_XDvveS&?hssUQXL&!(({W<4RhPuD%)Cn18BlX;1bfGL(WrA~WjS3ql%!;AM0% zF(9O#@9F}SGR8B5G%UU?EiF(||JBr;V@mTqX$d4>&rl?+Qd7LO}=`+D$wVFAIdVJv_y z;$WY4WUz(261d{}Y=6!Rao%9K;11iq5dz@`mT*6DcL=eQRRtqol(J|3fFBtxQ%I&#JGG@HdRu>yTW;&U^8@b*wsQFwczIORm1F?DT4R@moGcLE|L5~ zcVITZ`j#T;J?!YBVi5*T-I#gF5-B%qKDusTy13Pj_(;FTK~ui+@!KcvxwLn58zsg;MzWCerQpCgsC-J*j_mB{Mb~#oJ(14Th@&^@7K6o zZ9K`0C9mN7;CtckXf}_Sw+5&ZF3Ekqa$8v}Og4F0d~Qg8)(Ud+p|bSDvz{2Nm85lB zW36wxa1$G}*IPlgN@!>olCCsH|Jr9c0OeP&33*xu@x4c z#0iQ~clg`{DHT>d{p5F4+I92v^B=CCtsSa=I2XbBb;BXEHcVsXT~5fk1n7|9xSYHD zj~}|=ED8*dyak>tPt)S*xW?(JIB21wslO@Yl3t?GnO{+F$vwyy&f=2B{BDe|uVjSR z#($IA+eGZB^7lHQMMR3auEi@{Pq_$o?)q(65q+BVnbI^~c%|CwK!ePlThOIThQKHA zt)2u~&h{tE8nHflOm07J2xvC^TOU94!=uBDD}7fL|9yTw*R{tJGA)ab`)fm0Yy~1B z*s%1xRjVsF1KJQCt}gqYG&%v2g3ZxvSETrNVxISg5IP?Xk7SNN-dQ^N&Z-Ecv*0hs zyMMjt@=x{1EX&m6a|7)!?CbuxY-L3$u^&SN0{9`+u0_x31r~tMfi9U1e+9{l1o;b$Lr_ zv?>3L3Mm=I^wwJ(4zD%&h{wc8ml78REe2*v`)*@_mtj#$7K z#_?>q6P1dcyT|(|)mZZ?Y&nH8-W#6t7^r`w^@3G8ptYo^+U6chOU#DzpsbwK>V_$$ z8X^7*!(7(dLl&RvANBy6UO(3Q;WDy*-FY_^|99q#obzSJn;TE4Fhn5XHRe`-QEU&J zg#z!PEptRgMUb}d($cVDyfs&g+seD6Ztoktv>hvQ-Ruu}0qKdk2xTRoGH$jwL9kd% zxSewuBujJt05v#!JLu^IEXHD@}Qj#<)H@pHjvvV$W7S zyQj>ED16hX$+$M-U62tYI##3vAwadD{w@N7BR=3*{IVSR z>d_i|#i1^j4(56^d;6D8-@`W-CP(?BF#Dotmzpplj6Oj@)zee?DITD%iR44!zp<&+ zVph(^$xMLD^fZtr77jK|Cn7-1 z2P~rZ*1PxNMLmcullF9UIIUf%-Y|UUSu+mUn^Ocvx9wH;dFkG8GgnRyd}e6bN^h2G zPiicNh8`JAeDFm&I#v*!z;813pg?%bhp)aBy}9wY_Z7gfczA;UCW|X`0TmT@K7T(j zqz6GnQs}wZZ2a+*BpU|11)myY1B*|h#=>ZBB(LG$%}g2Q)1&cWHr8c`fwll7b#^xo zNQCPuUIOfjtAf*LcWWcA)_^t~Eyuz^%tK9hSn1?AgKBq6@cf9g8bI1$=Me znL`_xZ{j4z0G|i8Zs9Wo9t_+?ozfB0@T2mPBl}tJ){OfEj0~+wDdSpl)Hq!oP8OrvAvclcYA$qOnHV+ZC(fg(3PB@rd zVU3Jbb1*-87b1k;8meU&e)~tMY&`Ff^4W~Lifi`Kz&q^e1$Q$9*r5-V%ud1s*Q0P1 zXrI_L3`Di=dYP@y2|~pKxlBB^*V1! z{TTAcf^9y*O1k7}uq`?N!sK`_ZJs6+s|#-N3w(9BJTYcz8GdAk-Xc`rQ!T5dt8x8u zOCOp;yqSU9T^COeNd44IoE;mAawh8N*0{e>0aq}jbAqkw^z?ZW507boUm(jvgoJ5f z0PU*c)Yw{DWAxQlU+dS3oHHNFMZ&|Do0`V*y<1zs8PdzW94%s@Q~{VEff@7=7M=)X zzGubXhaTt;%74lKvxAGLg?c-GW|+hr=^&Z_j{sMHfAEM9mF*wxf@jvxk-xJn4edp% zMWOL58wmwAQa+}f1Vod(&C#IiO~NhYAb7ag&mk-i?}6)3*Vjo8&u6!rTk94}tpA(L z^AI2fM(Ejn$)say8oFb?th?EX={6>x(DTH+;gc1czZM#gEC;ib;LR^Ysz%C2p^e#i zY@Q!2e2RhvrExAdd8?kDi|?$VBsV-BPVkCIMG!Oo>x)+R*cFiKd_CM}Zy$Gp0hx78 zhA?CVC0$)EEAtjj;kbIy_yLDy`Hg%Jq-IL#j@-0_i3FC1isuHT&+d^%*ut8O^2lf5 z9gV4(J-uiTj)I0eQT!Dc;%jTy#T7Xnn zTI%vOE|QaA^s?yY{7e#$1QiB~4i;h?BLsde8e0?U>I{0*HGcIb+-%;q3D~*1ptIQU z@SVV{>2#O+;$#(itET514sDkq5qdIAE<&7ao`>lk>$Ko53WJ@2Mm2@h9RAik@p{H1 zdC>$WES_F8%<)kdXA%orwph8~-%gGKrpHlIy5#degZMmSXvpG3kpQBdmoE=6fRvFG ztwuT!5&#Sf?aTWQZt_unNQl7CAHpv(Vp5xbzIEcciAib&l$83@7^)wu1s z_Jw}|HR|-wy4C6Sz5~n`K=XS_hY#}>)V`#qWFL?w!C=f?1FqAZAkznZYHqV+GjTsm zdqeYTp%lKc!K`I!fCf3>qvHnyGQ)co(!=WdMWq`&qH zTn0V>Re12}2MJM}`{AGfT`D-!@+meuXsxvJ{*b1iKq)zSkovJ@&1&3Hm=`!!*8{@z zLFzeQdCg0e*{dievi-C3ih$! z%C4Y6TMnwmGm&4$6^F&~cvGkMWUE=LPCcXm+y_;*+J01EJJeo7D_uYmZiEBu^BArI zdNwddUBDRK1NX}Lv3fpO%d2a65E3=_RVyXy4zKkLs=7IESyC$)-Y^TkP*_+)DV_bc zGy7x~2|zLIBGm*QoZB)YY3@m*?nD4sP!J5bl^dedhT@}j#)@af$mae>VU7$Z#kvSO z(l$doQy}~6FG$}`8^>d1(e_QlYCT0)j(g)q=mVS6TEfJKy?w$BCkqo8FBUnNcZ{IO z(j#Lru`aI?&JR1=hD9%F3L?lodTM&bG$c~<(8Gv8U0x~1>1!c9AjO|{ z2+h3aBgmZa)8B(=_|7sxt{*EwlhflKEs(V_M_Ns#NP1Yx>GnAqO~Vq|`Dcp6 zJyJ9nv#=*gqVY#VOY(xc~h?1qvEcf)&{T;GnGw^;9$DbD%~2#)srCj z=WtDzTZ(_`YEfVy>;4{8IeckyxKh|AhP(ov7ACOHnIEBK1T3n~Q_y)_38X1%t6$$c zBqC4| z0R9wAR%N>b&=v1^G!fUio+oWkj&P~;Af%y(5X8<32C;V~Ypo)ajU)3Qtyy8r^6U=?T32?T_8x5A|Ht?HVAf4)nD)Bx@InNB+! zT$I*9z|1&(yd(*lfBk7cmGfuOGtzz(%W)KQHP=)9-U8 zYVxRkyL@(VeLDN7l*CL6J7B_Bi%Hw`pzbFwZJYK|_-o}3S|OVH{{*exkU)-IC!ioT zVvg2hTMuNgXcF7E$~$2&e?26Z$dZ=CzltkRKH!<`8)~;Tr~W0MCpYccmx?f7Y(60q zodDBU8jh5=icOgpc+ii*GP?t(x2I^JOzun6=G+c(tuMh}n`y+RGO*>0w5TE^13>Zg z!k6P#4du_0fbswsQ_#HA)kE%T2%$Ii6IOCA6CzM}C?*>1hzMZd#IfI=e0_DFI4*x6 zu(abmt`k(AD%o?BR(*TXZn$F9EpoeXnGMR%CMap>>c^!kNd-UhFQr*A(cOSzgzb9E zpYyX#BJFI%&%ctCpD({qn&!jvvAATgb6A`U1S~6PY7zW_cI~=frr29_(lk%__Ok<+ zuWj=sdL(G+RimMqb0D}@zP?Lm&;=Tjo-XxJThEV!<-K*Z(kEo#&E08|4)&vte)4xs z)nUMBoZf^C4ANqj8pMH&eMcpEG`Kx74k6-Xqsa161&z@bv;9*D(?o;b+pBbbULwn< z7B!&}L~S0OA3$iyygWM_KgG=o+H8jF#5JO>IrhWBsL(x8Rrubb8@(u1*a55s@X;ay zcF1`y7Gw}&(r_$(lI1;eW#?5>12bD67MDtp+AD~{pG_|Nh$2i*ih8Bq95PG&-Yci(O!z)62oZ-pzv0RDS^ zwzu-X!f>ab{qZw=x4+`327Fas5B>w9%f}Y1?}<6#VPCnqcgY`;^`xhRnT=-vQFb^E zXGi&aP!%5RjkV`Il8cv)k+=N$cG9ESmdJE)d~w7saX}fBzwDP*sIM{LP!{)90R5%^ z(=QOJRRTTbj;M|kx*#Oyq&gBfo^anpBgy&0o9AvTixAi3IcaBlLLqm>kbL81SMR@B z$}^zwb4i1GCK`br&g@2wB;avekZc=Z_%8xhC@Si!%j`YSCc6V@Dg=Q3g9Jb$94hyK zdIkW&PM|`OgWvDFjyz;7-T&redf2-_knM%dAN_v53q&D!imPLQuOlJjBe)ru_3G4B zo4KL(`8i$x?M+XGbJiCc9p+3D!iLQ6_?fcGN}7wD2_z9L=Mfz-()Sd3%h_C?YZEm1 z4u3ps3flJiJM;M9;<-s8p{lCM&Q4RB=xX^%f2zmdwVe<8v#AHk^{YZT#~&43Q`=;3 z=WpV1ir;AKjLW#8fnzrV;Dbj12I4EAl6H@rycdv{E2j1!K_C99CEKUI;FFa1G zO3?DsMR!pd=jP{!<>cffT#Sy6`i`iuQDFZKc~fztyYQ;_ebg&~_oUe_u9npnY8U+t znj#07u2Kjj$a|esioz8{0iFI zB{S;Z^dbsSM{%hiNbV;+6Ln2x5;8V-*hr1`%65`H*76Xv%KRpJwm@L=gxu$1YOZ!U zMsa<-lsedS5L{Vuls{H?GK9ctW?ac@rX71ZF6MwF3E;HinAgpH#KRtO@fbV?#PH`A zo*dfu=LkR%B57$eoH#RE?EdQ|R11q%IqEuf6{ozL0@XT44gYZRkgW!K*SVf*y3qBQd=HNUj~JVpz;H`Mdh(-{w;h3oVN*vi#K9 zE$643uknp453ZAj1nKAG1SnPkk$UC#^T;2$J_ga>(!q?!_mfU&Z?B|Il;g__mGoaE z$}r8JTtGcF05^9T^jt$~sbB{!CAtZ<4fcv7LC12?8WayZg?kJ`s3?i;9bi z=sNND;4Jf)Je4r)D?ft8i1K2cSrXx4evc-PqyHP_N2tgCKED3Q&U@c7K6Q*h~M zGj$^309!CpE>W~+MT&z-jAd@y(ID4J)*JQeWz6kPpv$kXjMiTYNcj`ku z*2o}|{jHNVzft!cZBXe(U8xavP4b%dG zqG1A%Mt>@>fJo(Y`5IJt8oHwltLb84X$oJkkAh8^5QK*r<9Mul|Fc`>RCf29Jgm|E zwCtOO*avC2yNK(FlaYS}taK~d*lw+rATHQw@Y)8ie^4c2f>vyWKd*qOY6T$s2B^k6 zTe_rq$xirOD`quP_|^`E#0uGw&3@%gWQ+aFQ|d;A!{HwFE(cvn>BE57=dbBa_ID1* zgrx;PI-umbmoqFbap`A2<923vD5YrMcFgkQUm;s>ohQEZP4Z&+PS+Z6P`e9ysh`*C zCEj{ZXKeH`>1E$aN!mXhvcglP3d!!RNT-fYPlV3QF`MUBHkTU$>1a!?*7X#~6u7tq z%IBqX4nO(NeJTBP`+W+E+wT{o@kdsKTt|qBr4`wJ3WsxxiG3n^pah2fZRO-tu%K7X zvwlUxTl8@4Piit7n zDp|H>+OVfvUSv!s!pZ6U>y8$8-z9}!`KkvyB;WnYh1E(pWabxQ&XeKgSb5Pc_P!*N zn%>yIgTJS{G}t~bZXY?srX_*$uFHo;BjE#w3lF{Q6Pa#*=TjU!JKlstTTl?e&5CQ= z$479u>vNHZX;+v&HTE3Zj2_Qr&d{&x=FadXFc>b!xq(%{9!{Xt= z5txK^;h5+Xxukh3OykL!Br#gjh_5<$2k<{cQ1NV>TIn`owq;&YF}@5dcF~6;8F!%| z#;%RhF)r$jzl9=0zpDE((9J216lleX9^z*3*_Ll^J`wiDhxz$afuUc}F(gSgihYig zM^D6ViZe}apXRvhCSpzu7R@|O`h{)2+dj*SSuf(3>99 zVlK`S&*(($=DtYx%TNsLI+*Wal5-;4-Fu(8LeDOZ1JTE*Llcs3sjc=fM^jRgUr4P% z{GZ|@t*x^)f1ipBO9WWFa=cD;kWCVJm)ocB&)hyeERD-AMYmEO?5~)o!g%eu76IE5 zm7{%Zg~kg(TAaA$^!HEkYpn-m-uF{(yV~4-mCi#ME+OtS1;n(kf_rYZi=2yS*5`yRuquko@OCZ?)U=8FJyuMbZ+% zL$Y8?Y$Oxa4w^R@cXL01175<}F*=1zVW;t4Lph$x3s##EZ^=LFLwYa9J`ju&?v)1J zn1LM+6Xm>YWB}uYJ{zde*CeYgOp_R4p92xq`vpT*E7a9}1y{;3Q&`+@2>py?v z=6DtxScEH~5`}?m&=P2WZ<^x{S2Aw~J9W65mqTB6LkcJQcqBZOlo!`GtDC6~ta)L~ zIsSFkt}#2CK5|RTS3iSC%RD@0qm@dxhfIhHNr&!}bXG;oerH;`>lix>9QG-ElP4FI zB`+v@dlK+=5l>&=P&>UmdCrYBvR!feEop32@HNU*JKbN62ONYdB0*Z(D8UkK-@~#} zPoCE(#(EKy)43_(z`i)jzJ5CAMDpoz%AeYo|7}viGU$y>lx@e=k6RFUi;WO`o8@qZ zyKX zm4IZ+wm){%?wDlCvr;f?v@4w&Pm*}^v)?v+#eqV<+I5N5#6Fby2p5M}_RUU)B?`x~ zgXGKIOKHmy{IfLcSoMaW_i$*ad_xXQF$)2lz||PLQvf=KJ~qSrIaQ4(X3stwN03+; z>t#Cih}z*S>4xKq(`7-ZF(;A5EBBSUAK4B>zYmpP`vQI-0M%|%dLjS^Z?+=2vH6Bl z#Zx%gG|F=_-#(G?BCjC-9SX5XSK<$2_`!$yOo=$(QcKVb4NLA;#%b_dQ4y{6s^0xJ1tvzhDOdYha~t^bB41H5`jkgMl2d=kUDY{=CE8PlT3_$xkL_#2AhTrNB^|A_aq-PBV8g zN=RIha!m1;A{K5ak8h?q?!JEi1@JvKA(*AaDvtPWBKOnWS)b&leIQ-W8(05R`$DSf z(rUx!)V!AohWV4CXUOn_YaQ#|8>~a~_bCrF-Y~Z3XewfdsSk*yEo-R!01~N=7W-bF zT9<^7o9@X`P*Qrj(j+cfD$kDOwmo2n?Jpjjo<*gNuw^Iyx4ERb!PZvmvA54TkKoU9b47N2 zPM^fsG;I(n-BNhtGF9l&R39Rf9S*#8{`~#^9gj!ek#ql@i_Da3bfPfHh~7kv^Z9^4 zetUSD!5U7RL<6OCIUL}wsW(%-*Ho+1-z%aRE6n|B`e(H0hB?4|h4HvluBkd+Y{Qb! z(6WqPiS8|Rm?q`)#&@5TXE~$&aQQ(oazz4jXFORheSY)KW_^q0)@oJMfa4^c{M%G& zZ)Fu%co|pS`|>%c8MaTnKPM&SgrHLDmQpj`95H@4%v6PAc&{Fwx$(~QOvr(~W-#{E z5^L1qo6NaIqN$rOiMLqYn`u8%%zDEVPnF)@goA;go2;xRMBhEb&RDA09Y?J@n-3Yw zjkuH)a@CXyOiL-AyERW6#M2fU*W%?JrH;EnNB1mMIMv>uNV*eoU!4(zVh^Ou)D z!N_?%5!FkQ%KdwL_|BY6@_{)=Nw%B%<#oxua^n>zuSE!ZEl2ePm`>m##H7E!d$q*G zUr}yJ4_m7Lu+#=ejK3A`Qpa<*XO30i61pS^CL5D0P^dFsZ>YmO>*}%$K~IJNKB?Sq z2T4>P`X0ydk2iN`2XI>Gta8;T{xiK?VCE>KEpVBO4xE_&?p%Y-SKi&aX|78rTO_pBMWV25zSE6NLP^9qNB0b4XT zLh99@&NBR+(s)+l`#V)bL*=KQ*!=J7{o0+d-!yysX9&f3RIi{K0+v9T`wencd3xOmYT^; zgP(u$l+k69cku&BfGG)wHj|iUrdafThvWP0o9rK1d$YkOdI`kuZclTUAAq3E#mXLp zpT9NsvxzzVLLJSs^0Kd1pr$v5+Qeo<-TnR%%@}cSc%e}iqo$Os67uJ$kP-LK9q;2G z!U)X%`3gj^#hY?>6CRxI@56R;a$@$vjpsoOKlmjCoGctQU=8*xA`e<~aFTx8(dD;l zf^}-0@ETbCp~b0ASg^S4AB%SGk6wQFM%eh!8!@XJDxWPyYFu2Sn9rQ*n}uK@(AXbZ zLkIlD(*+7D-F;L-WkMM6fC+Z5UDGNBL0oTSaAel|n=&IlXhos;?gV`bgJ+NaX0A`f z_s~jx?|ZCHRTYf4*kBZLzgiPI-SmpormhPwVUCNAwa&ZQhbmihJUQicuM<0MR{vq_ ztr=jBIC+Z=<$${x{`!ItcD*z6q~XvClre+zah8z~|6r+~^KaH8gYdBK?r%?5`(~|x z(fcoUkgnG7W!R@=HFooRXZ0DWw=EPchG&HWU*!}pxN`}FOVl7*H8qI>@jZyJzsSY7 zC*94fG&z`vxz@ySB=+!H`VTZmZ5X>b*>#37m#_poZg7_hv7|;9SEmX4*g38A)BxK^ zV-EiggUyV-*1LBWJh=LRH<94pV^0BC`4`!ki^LoH!NNpnNviTK??EO$o{%kB)JzD( z5O9Nh8HNAF;z_QN-)9`xl4cOfz!5O;+ zpD^@IjSR0?IZM2wEen&=ndCLHy8pA)=A0mh+5dw#&vRAx^2o)`m3ZzoO8h{7i;~j! zk1>+z4%B~M{m!Pd@X^z#3%($p9q34jfME_$^veWr(1|e4{I|)?9l-BAWmqYygfV;V zKf&Lm|AnH&TG|xc6_f3zu7P&Eqr3_E&9Zhb%=VQRD!+#sq#Wue6kY@59uS!iYhGN<;^DA)Aq$XwOyBq}KE)h92)>k@Ckx zL~_eitwA9M^5D#E$K37EWe?!FKdJxejxE1&f1CjK`8P@Z&577)LqYT#4{hR-=Uzwd z*iRlK`qGk0o%X8v&;m4JrtRN%QMhL~#J^)5m0sht2V0J`^z~)!gmZ$6jdwa=!7q(*EZM(kxA$4f=aeRv04l<3vnRFvs7<&06=~VTZ zTW_au{h`{6_Nt_$)L#ep`!}74AeXy;H)eA&;PgL*Tf}62GZe= zrW9Km=^f!WpRMy>I<<>wsPUYMS3;h5u1+r@@U9MZw}wcI5uX zn2KQWxJ~NFUkX^oV#WUqJ`)%KKex`ko&49-gxw24CxLF@K^w{Q8|>o>~J#>KancC&NV?|B#bzNHRbU;^*^ ze&Ddq5E7;VpWATFanSk6I=pyVoap7t-GTL#!O@j>cT;&A$I_uFfeUQRFaroS(Zwxa zGS4Q2!1k0r4yV*6NgZ^7U&9iJ6fjQh zCH(Kd0=qBWl(?zN7gQAlKpzZf-IqJohUxQxTl?>iKrAhN9A-D=*>vPYrF)Lb$oS?% zLoA{Xe6Z<%Az(CuBsAixieMfpqkS%8LLVgY@xT(zkb)<>Otp{@AoOuI2VQjfv2OK` z3-Y9oQ!D=-ijoVBOiKWNbxg3PqUa?l>|2Zn6!6_H z%fG-Ns}kBvb3JQ&(WD={Q+oK6HXa92AD!amnAZOb=0lz7z%$K>w+hGZ{f%T2VWjju zxJVly{Wd`J@X^SB#y9KXFfTfu4c>>qx2``br+2%tAejH<6f(^$b?LuDCvETrtQ&mG z_=@pCOD4*1^#&wxB*nYX!QJ+Mwyn@(aOOT4fN*)B$SoKOmm`#8#KOXn4Zr85s)1PP z?v%rWIDO;Sqw$xk)q*u@ld9+~00R|hzB&7TvGm^!PC6?d`1Pmk4zp{dSFYJ3kYy>h|i;OYb)B{Q?{01bGyzsYibu+|!s6L?pbNM5x-OnDHGO z*l*)Eyy$PYms++0w#8N%oQkh6Szscu?vBusB>evQ-%Ls$e+Hw*-W++52AL)_UE0f> zG?uHJSCWzUxUh;TZfR0@(Z@32hKVxDkb!~sxDA36cuw&vmMUicVPDeA9>6;fO9axJ zK8q`b&=FWYlk1v_+;tdLmePZ1gWGbn9MqEtw2WA05<5c+Hhnd2 z_@-_bdwGhNm!E5Cixfo;SQ-xrAGbomYAF zpQ(<%QUuv3BJ`ls&BD@JAjGeKoSf4QI)t48ZObZbr5*}8!o=UdQm zN8sl2;N(rm#j2)DOG=PwD6sEghn$QwOf;u_)Zaqqm&>f~7lEMa#>zcP*s#Bi zfpeD(W;Y4^;Lfa~2cA9l^C{O}JFm|c4u1qxoSV94hXv^`6#h%(O!f-i+dk^X$%Pdn zuswLdfFBkWA3tj81LXKYJKo>h&ww9kHrQ=d~+Sv;Pi_CCcc=N{5s`%Dn@F3-NeGRgs$o}PY!=M9Gb z??qQ#O1ga4#{+~3HbAMOUyJM%Erl#3#{ACyjY3=$__`>xa zzQy|h$!utAjTUM4F33v$Bh(NvfRL3t5>P|L@G5YY}412WX)aKu4y|rHtCz z+Mm~pi)Iy-m0*pb;iZDMv<9FFB@DEF46Uyh@;-A0> zAg-F5Z=4;g_cT)ZHD)vQsPfUz#l4ltdu!oK03%RnS@JCL$o>E5dh4hvzbAYYq@)Ez z8U&S2=~h8SNu|3v(%mhsq(P@5NOyP00qKrIcX#J+AHdJ|{?@&hwfM&+=e+OUvuDpd z&oeUz4rS#sw4h~h?(*{9tE~!_UWV8@s<(Fk*A4@!E@*Mg;A(_BBpjz{>xdJyrvr4> zXkqsatpyq%foD5CJ=J`{7zRb^>AQN36FOU|cPVt%Jzlr$vD#?gd^Ve5(O1WKb7uf3 zj6{WE9IS8!7!1L`-y=rCZ}a$Q+!oi~-kwGIN%izc%+~hyxl)(~k`Cy7J`NaWFi(mw$CpC8Rj`o+-a+r7{6 zYwNzuvh^LxqB%G0TL*I(c_$mk0!(NDqqsuiEGmP3{Gb6H%l-nZ80;HypKA#*H`15@ z6cn+40{{VAK{Ke<)>inFoS$@iI;^p*J0|6@E^KY(Os~~0;c*BFUHv6J?OnAlMFzm_lZ(7zM=IMv_%WpcLZb1#ah=dQQO83=@Kj4AcvyT}VfWOE^rTI;{NfPyMndAlsAnTO9lQOi0uhtx)O-Dl zVU>q&G@XUAN*6_mS{$k~o%s->W9= zc28Z?5tuMK69l8sD4leoE}Wg6L6fiwxpz=22@4uw&N)>r6)~51G=k6ba)e5+NDU7< z2e|kp(K*(Uc27+ihpnLFg1y9X40E;=t$o;`eKe~{}Q zt(2?r=G7~IOhS9CG-Ioik;G;+A+s!Oyr=FX#9(zeL~s%F-q>U(k!hz&s_6y%q^P*$}#L^99 zUF%vt55d*4agY6teaVe7s>zUlM?d+A@4IE-?dQRG+sB-oU;X`2L2Eh5ckl2(W6Q;E z&&wj%LW!%s%ddXk0G8dF&Qj#y-9bNN2G&Fs^4B#E#ym?c7wprzNx{}VUQ64@v zrsj`J)deol3D%q@c5I(bdv%1kOI42OGy*vi|Ayn*7?wGZtK>Q=e~G!Lv-*3}slyVt zkQoMNHTOC`LEwo8r#lD<$Xm;9x2bOi{zYNJhs2;y)=c1|&}s1dVU!BP&uK9RQV!gj zMs}{Ps**})c3v4`zLO;3mF0WUr}%fOD60MkZ6GcujU~ZhU>Ucr=UKN0I`z?e+-!O< z$c8I3Gt*&ITVB2i%njA}{d-T~F>lZm`BW5fT>x+o=c_9x9a`$8?d36KMm7`B;etZF zCx99HjHcNk{nHZYvTq|zD)_M*lkffoCJ=x9_HF*f%LLfF8qVc}nEDON9390sES@gz z{B*c&3ymBn$2Bsj@nlJoAX(b(n9<-`rs>n~)67-7O_Ap0ya-={KCk||#K3wupyWQo zu+xPgahh!PvQW?xcJdE~VBUJ_Lr;EN_ArmqMCAu&3k!Z^DoUlnRkDKUUYEuf6$h>A z3=)hZOa5E8i@CdTU*~0nysR*x7Z_v%`kp@q-LTa|PcA$_Sa@xknKEvaUq6R2KIF&< ztaCrOOBQVOX%***AS;4TO`FX670CIUX2jofkEdVc=5=XsWIoJ7LVro*10JAiJ8W#Qd9eZBP_faGaW_W`*2HNpqvL$6ZPYkgJL^ORs%!xkGZRRfK>6qJ?AM(3wFuzWg3q~Iio^V2da zch|UWjATz4nkzm>VzDY(0+Z6?vkt}aldiXetT~`l4B0XzH8mT&_&Z~M z2xgNu9#Cn@zH`T8Xt@6|@gbn!0EK*ZPKsnhaB^1B{jUo&6s4q-$RWd__P$E~&SC)RSBL7|n7 z6$dRt%XF%1*%lRY#2=^3Q{51Ngq0{THebLkD?cRH0un=^ zQ_$G?n<#q!NZplbHJ2x5Qa0m4CDDVO@u;|bX4g8AI&!CwnY*TMSLt(kKbR;{30zxR zgwGpbXs7*2m(B2O2Tbwt?Ork+^=!s_&2Bje*B6 z+|YxCC<2$6qu7oql{U7d#O_Av?`Z4Xw->em1~3_VLBTi>o^KUi0UcjTa&o=jCxOIa zo|-q!$eze%W?CvIjfkGoP3(M|;bxm6U^MW1{funfy(;C%?V&G?NS9-`u4E(TPBy(A z2r8^Vp#KyIo3NU6Kqq>5i*ya!PHwm=(IRSivnGERMQd~$RbOdD<3!E3P1ByQ7i@>qbY=4_NOb?a+?a7L-`kpSJ&3~ zPnUn9Bj164$N6qlon2Lj!-n5?Hg;fHGAkZ;K>slWE4`>Uk01Zy0RL3K5@DZ=;!c?x z-4j=YyY|-Tg{kPTobTB4v{3Tx;akf!mW6vopgHUVL!Ci;_HHoVT@~~}=jP@f7#e!2 zQ;z_=^$a?zlAx2=ZnW426QVXj<=r+Y@-!S7YDPe$q|6K%MFa*W$_*Y z+R3+k{tvl%lMl)F2YfQ48qY+?Nq@8DT~AEJMm zp~Kz^w0-3}Eo2oSdpsV@^LPn*&4YB)s)~!>>lI<@PMK{$pD3NTznm{@>NNIDL`7QO zw)r2a2w)!sroX-~s6kiiM-~+e55PLg+Soje(sUppBqSVn-Kqf>SJwvq0z$jgT^rbn z4?k#CLX28nk{UQ_+CFhhWs5g+tGyt82?nRugAS}Ky+6_Pp`i=lf>_8%Po$xvgKqTA zKirE(T?*@h$VC~{s;IZTtLgs_4{7F(^(K5Na(S%Z*VhN1)D0!K#R8dOc4L-|#fM=7 zRx%ht6Fb6hW30Wcu;IRYeP3SOTq7$&a1;3Z_bsK{_H&@zJZaayd;unO`=DZjY$A91 zWGM*(y2D#U(X&=<`EXYk>M$t_3nrDoOeR=g-@4Ld_>B!_i1UH&z9)58XQD>kiP9iT z2aRb33knLxJ;k zSy@BD++8rh8N^u)YX^m(BQ?N2i739rHBWU@w6s!YaJ@F8JhoyftEu=H+mineJPssh zH<_h;$=p5*`WqX7L3rj+lXP9aMAt@F?82h&F;+yyrmh&bEDAY)%!G%D6sPs#)%Ds6Hv+ z_iuKv&p)>Ovz-lyNxE7susS4Z9#MOB&&`iT8tN10bWYt~RO5h27e^qDjv83J{F#)O z{yQ^5o3cOd*sE6YHu`bhSI!7r*Hf1!$YULUYujwpS*qq?>n3_?@TB}dNc;V&_Y<0` zR*AdYQJkn>zY`~yR|Z`jozrN=){(RW5cNjTB`!b>0OCS*_d>YsHSzsW764|`O1E~> zWZM4Qa93l^!y`z;YT+3ERJVlTMozB80)Hpk*p@|K;eM2jVowqNdc=Nl}q%F)WV_$ZB&%N_ihurdR$m1Umz@7xX|isc-8$PfVqVt?O~M`t)*d zMIiQ3B+T$1MF5((0P-Tc`Jtz<>0LUkzlhU+oYl)W|NObH%nO8ex6uX{oO5v9bCqVL z8veTGIS{5&7m)Yaq|UL_F-LdTM4;gcqu-6G&B7lzm#H;yDUqRxc#4gn-5(?st@0a4UPB)Yd4iSX~9c=35csV~k}u3>wsIGknsG5NKK7sQe@xo$3q zNqG#mRpd8rhQAg56a#0y_2e#)7J1k}M~)@)k~i+~J(JS^D1mE92>wCg*N^859S!jU z%(z~|4+wYTmWT>}6*l~%SLSu#@4fM{Ti>QPLb%*`7XkmH){t4&+$!Y3_MpGbzt|@N z3C6WEJ`)CB7yK0^TyE6Sx$@rCt7z)vaBdaAF3y|m%-AaWcF5seFySr2#nlI#w z{?u&cEryoWrHKrz|J%{RB)EbcXC^bqz1&JlBn^=&k8$BIW8Gq!ygK z|AM^3k1jfImJHPQKbYuA=pz~J;O8@!F@5ow4%AvfuBOH0RouyfEEeg=|N2Low`zeG zPv{=Q-RUe3*S2I@{IvU2Ppg7Fk&j}?W7)yb1_8iJ1xSVEYwIZh9{5!#(jlG4JhRh1 zOi*C={U*qZ_yDdufv6IyMpI>73w4>Fx^lWM`R>+o)%Ufk-cl>k!84MoF3QFoq@n`z z=$!>43ny!i1$*lMtOYL9Ob9S+pmP+HXK`@jq3&4I#_N732~z0M-SybDSW#)^81`hSz3+ad;D z78=&`ZgLTI%~glCn=MNKc51JaA{PkeGJRUhtE)9kGLDss=ZokTy>iP-oC7nx7UONZ zs99Mp!t`TfV?UUfm{e$MYGOa*Bc~B-hiL!&B&&=ugbPaaQ#o1EE{qy@xe&Kce78Q~%hnL9MQs4|%d4d`+e1 zIX)}Nr4|!!LFackTM9s7i_xpNsdIl&HyIANQqQ%yrH+^;xG@R4@;rJSIzCqprgR*E zS~ixdbvTI&CVO05T23Rp$y0rm_d}VTOlh{n{7&Ly6Cda7zXCyhzK94;kFdF1_0%YB zTNmkeUapRY^MrmX*TN_i2s#+tuE)R)!P_RTKV)-N>N!y%^dDD=Yd=+w7I<=SYiDId2uhy5}T*NFk}A3@?05>oa0vB*t$nPPam0XT*_T3m^1v!zyi9bk%EdjXX4 zbN3Rsr;O3y+~+?cFYC~zYh4BXF+~)hzL7k~czF@S(Y)n8j(g@e?9 z1i0Kz$RoImd>8pn)%wwi+q*Mt*1mO!=EG;rYkxY(K6TfbUa)*AoF0eh^m68}E7EHQ zolHuH4`KRiBb>bU&Tz1ycxT_*SePvN7Rz5(PK)Z!L-GRjmo&&Vl$oS)891u%TyrJu z0vERe@Du*8NBkfP`BA|$D!Q-ih_?7&0iD?>MD+o18)ikRR*s3ToBY6b`L?R}aO`3> z#572QFHxl2QT;E8-3sJNNhfR2m1;H|>}|YKTTXYJu^J;vnQ|meVn@_QC3F>$wE7=% z4{g1_jW-f};56Xr{)!M_AcX)_!>nB!50cP$z^a1tj9QOEq|uYsc7_A5*iBD#VKg>2 zk(qcUg%NxjLtubihw!E9c{h3vGz+ugQ@L`|x^logZ67CR;-^#gQoW-oaSRG zGgw+?K}?I4Z(3mO;%!jI*^NwCb@C2ADaBvKz~@5?c?qUkp-ciFlnC>haw-(Fw+xa{o> zAii>~0KYqlfF*=vN6&*ocG6p)65HrHIz%fBa?3zj4fN#EnCJFSIdw!XY+T| zAYqxI)8B=W--__ufy`?D+3sn=s0xyd@x-tKlH~+~KcY{U-N)Q#A6>csdH{9K&>@eF zB{S=M7WRS$cR`qu{!Mb?CcEf}ix+W`S&FPDAOCQz{ioFV*B0c|hIE4|B`ZPPK= zfS#hUC%0`}(4H8I+krY=^3v~ocjY8|LTT-`(vM~XE)L|4rrj4n?Q%j6y+BGm^0yLZ zb{RUMr+5VrT(*{@*+_XDYT-#)bA3)g1^i2QjFktFB%7tv&{6bLpuPD!w)E;qK@~Yr zPG-zbs2pu1vg6#}K^+%k5^1*Nx z)~0{L8n&NJ&FL;Xheyw8h3xwLL8;#Feq&Z4>S|8n>7jp3RGs%upgY(8HO)MC0+Z1`{4-E;%ite=4tt-#`(VTGO`N&+~iin1tD*YqT=Ne};%p zH>z0hCq^G}cwB3GmL!Q{_)uY;$beL~_EhdQwvoEm2UhTqwW5mi>@U0S+|u^$!uDxi zid71D?xXN~`_||6Ls`<1gFM!4`r5n4OKXELvh8Ac`p^JyGKBBB!fwz@-(TxZ{bq@r+eZ7wt>wAamD`cBS zOdHtaFH&5bE=X0b7)DB~xc`a(fkwhv8qQMd5by-|V{wg(9@jf@fC3X3Gpf*LIKg zLJsMsKY!=rNSpAw&WDK<6rH23%#f41mu_>djmS$q!WCvc`I+r@_?}lW(GmNJQKrDW~^kHy^Louy_uQiL~rxRmux)ux{*z) zCJ;gOjW$1SYL(PkEwWnXy8HN<38E8Hj(%}*zGh5SZMSU(U$`h%EcZK|tEEAhf`_{X)hyC=`kDzLV%OiKrHPC^ zxG8{xf{Z$~Xb<{aLv8Ki3EPW<2gk>(PDYH(&d=L1f5z()!=1akC}kJGip81Zpmihl zSFRS+WbLaHw?OVZ8hCaZ^N`B>p~r;HhR-H=j`z2=_xbZb_@5q&R}Aop@+OWXfs;VZ zI;{&B?4#;3eAtlGjoQ(83Z7@GUpw?JXN=HToE=p;ZJeYjG&YUwOO{u;F?en!6 zP5jjlziUe^`{^#P`d;5IeYMU&{Vx9F+b}MYjCUg|edQ=R zT*(s!(2PWJZNKmO7QV~=bQJ4U`c~o zX-VuL%!J=qE;Lu+2FQFT1{X7fCMz$(`V@6uPOtImEU5RG(trT!ePxw=Qn4=atM;hu z4F1L`qg(@1!$$z^S@^4e8lG_f{E!ZGmIXijci}IAlf5(ClyUXZ;%7st&YG0dHN~%H6FWpw3u~Mi%t2ZrlvL#d&;tuO1JotB$Bz$uLYuFGq zL=al@Yoqogtf^2ro_4#5%`3iPbAZ+hY+7nVMKByWpHzR@vqa6t{}0Sb{R&4)HjB*D zMI&_^7c06V1@HT7->qnJFvns;la_gpRhGyT=x>Fre>R*_ni0b`^vzo8sw2|<`uNbG zfq3^*;29QDXf0|N@aaj&X+)*0Ucx{M|@2rC&oerB|qnz z|66t(a`<1m;}=f1X3YTqxjo9h+%cs8q+NI7wT|lM;BXK?V;IEtj)6{KIWFOu7=5GY zq;@CEmHI2=oZDcm)f+CV|DmiQ0Md=-w9?JEy@%C%f=)B(`7UW6nWMl#T{z@K<=hB# zbEEXh<5AfDOt)0vWc&S=Bx0v|9KkfI8h^ile=r+qf3`h7*Hsd4O6pR`F%g?6AUOEJPIhrk? zDJ8H@5z>{1K1zRI4S90C^k;q`hBNm37zF%0T`Q?`kZqj_r|;@`Zg&4}G^*x%HHfx* zapt$FnrdIsn%el?%J9!O;F!eg>5EO!Q25{D9W_BJ9j|bp{m?fn6r00I&!DwpbcJwFL@mSM>t3T=s5La4+_qDLy_>;Fkjt6 zr0tcdnH5`|UaY&knR-*l7 z{EnG_vjuc-*?!DMk$wJqa^tT+$fmLNxb>n=mtZv+W&iZ&k_C;+W+9_I7Ta4s$QS~5 z`p~(Z2I}-ie%Z#6sb_kuTnYk3g^2<%RV{inzhV8S3;7n~!iMz1eRIFfO@QF}M~Laq5#{g6nR_se%;yFB)5 zUtvsi{lyTMk8EDb5LOx6e76){ejUz(Wj$+2uiOoK71i`?LYE8&31D3T1t|LNinD z6r<0w%29;|l7ymw5aFol`-fis2nR=AVu?`7U*Ez%*rR8BStDnA#df;C?)gS(slNGV zuL%kAgXlk>8wxcTDjtzcv3&(Hhqp(?Dw(8>@)jodrT3d;1H>9c>cWi`qAd59=DBaOPq;)zE4@ctm>)JX08Gos^>$BhWc6yUR%-MZMNrwCztgw!QoEn(G zEp1gU?P(npxGtl|dY{F&Pw`%0fR!-q1Cdw`rlA)nq<4Ai7x}kGMb)Svs&b{Mq*?W) z6Ipc$yROnQWJ4%*!zVlU3(VlatYgg{H+RVGq3lxyg&BdZi33sIgs7g34)2w-3%Q9^ zh!Gr`(SK(f(QCs_qg&oOU8Z-Lhf&RPQnOObmU?zjplZGrfSSWbxm-=dA}wv}vQrHJ`aX6TPVq6u`VVWTPph8x?z4Q`Vm^%$j9irz=pD)`%T0OpF>o zck^y7f=p zAIR+f7z&iRHz4gATdCKri(fiy$|aubJz`@UX*^?kt5RO^MO$Y1PvB0%bJFS0$iq~4TMX%1`3 z#b0tT2^%UXd6K_jI=wa_I^3nJEQZqI{2@KuG<{Ul8#!IoU65eg<#;7Rn0SIS#C1}= zZRqc-#Mqi3T}^rR&cmbYskh<=Q}8D^;X%=#Np;N^IcGAOfJBcF&$zS-G^6KXw0K-C z@km2>6x~`J!=(TE%vsug%o)Q^7gaWYW4cUO)^9s-zv0ucUz=;^Uh)T>Z^Y{YdB7tmcB=_`o*As=LqNlg&~BXqeuk!g=`hb^>wX*O zCvC#`DsX~0>q6mdC6@T?jvZCe(p==Aiy$ou&c#Y@Q6*_sf`?Y(v$c`TPT-WsM50zE zMD&>`PLuAqhuR(nki|1Gw;1wWGze{;-$g$a0^m*<&l%-~nJ{-qr-q#Z97yWDCYJho zm&@EhIgxHO7s+#)V~H-(`|h0I9CGQX$zExcuSGA?()H{@H}?6c_W3ePWR=}x`ajgB zwT@!6l!dZrqvf49R+tmZ$d%5mezGR%nfuU6wn<(_)3xX1h|!J{{w4O6mRdexdtppj z!AEV1{y5!<_c+IE*V>5I2DnQ~E!swXm>~&sU#Xcc7cH3#;}R1)IW+wAD}2m0U7uQ_ zb#&6LcGQ?zTN?*fN+rA6N2+6fMygdi9>f12sls&cWc_*gxOrW5PKWP9PZ9fvAaVFK zyZXw)#gGA@Ba7*;_aC-wjk4vzJM7cYY{G*fnj9f5I;&6J;|D66a?z*3MH&SKHtAVR z7Il4kL-laWmd{Beg)pi2A6B%S7joA#sv=UIXKa||CX_X6+->$W9R&as2>949&qiIe zv=v&_B|k-%rF?{|2U0Y@)@?z=uJPs{zTi0Hjq;|U7i4rr_Ck*IUC6OToz3CKnd3l~ zy6)!phvxVAyjd0JVifzb)RM!AK=jc_uCj7)_haI?7DIj4r)dyUcuYOJN^9Y+&mVR^ z&pwNEYJJV`_9d?Hx`5BW!fH|#A(rqOpqvunapaS#g`$^^`D((N@)96EiWXknTU#gG zVW-?aXR?b_OE{1gv?7wpYOmvv5_5>1^TpYQxd#)BMu%7LUJJ7p7CKtRP95B_OQ6B^ z5#r;7QoiH5uDm=YbiuWHXN7+@iYivi&@`2hKfXa|J{Hy(5k%e+L5fQV7z&^n@Q-~X z*BUFdu z*PD|N4qq-~(Jxg3Fy4*j_Jz;J6GU;SHDNxL<|-wykwOm&u7C_nMjEDqkHms~0;N{e z)kkMTXSE|d?F1{LB!xKEp?+k^6?h-py0Y^u)y}A^9SDu|u{(i>j;`gS*TTrtM4_Ab zdG9*2GXU+b@j>mIza+UiTt<0qcH=vhK+vWpZL z`Ys^7)N~+M(L0Jz8D{K08IsiGTIL0<6P_RIbrR{%m}$Ryc1_ngxO40H@ZP;t`OV-f zyXk-avpD`bjWD2s`ZB@8SH|BK`mthFq|2e55K*l71*()n1#gISIhV%pXh%{u_L_CGJagQx~}O*s!d z-OK$!)U~^^`aU;yB%pQ_{p`>n4gIwicAlo+J7r&QKkS}y1nEH;+-!nPt5b77GIg>F z^#|E5XshkIgHYkd{n_jIDqH1Zy)Lp0pK8o$_-gOJ%XfD5aIO{d>%WS21Y z$e02~{_)7dzZ$P=Jv+6UYB%zwcq%74@3gZMzJ6Bb^vF)~ufH^Xp>PAn8-4Sl2f9CZ z`V;{DNACHt(hJxcd*d&1FW!l^>`P6Z(LI%l4StB{_85XaX6sY}qbW?tqM)?N?7vrA zk#R6Gbdo>A2{~J*>Keqa3UP3O7~(pRc3k63cI+Tc7C!_>E(P+6d{9vl*?sC~MOm?6 zfMrt1!E}JBYGuhMYRxYb49#R#r4;Wmr?=YyxG7gm%*e|R`#}N{w4GtGu%8ndig5os zj{p}D(G;Qu0qKF%s-&V=bh+2wqyAF!NucE`uO&GaVlDm>-0elZ#HTLLVwSkZ%sqaL z!lm%+{qRr$8ANOcAL6g{s?I$Q<@&0`e+j_hrTNd)Hoa0JZgbc&+keV6LjuJsQlp0q zoq-Tzu@+Yeu4e>f0Ix9T>;x0@JzQa^V4UIeQAUY2OX1pG7L`4b4%d!~J9@+KU}X{a zMxad0f4zyWvA#fYntLL5?s_a;Umn+KGY!qzLxz^udcjdZZUj_E;S2!|3)x~-<(y=u zkTi4>ci85d_5Be%fY5R&H2y71=wzpMy%+D4?qUR|A|$HdN*Hkis^HC-S6A`Kmj^SX zfOu}{x8>RWGxikNe%u{ii2jC5H+t6tWB=JdT~C`rlEnUi(94WWi^YQyfA66q@iEul zwf6J}oKyhj_zh4}0LfjNQ-mE4XLDyW<;<;;U{<)9A%Y7RvA)n;>6OjzK;#VOY(s+= zPt%Oc<@2Fy$nq6U@u=H_emyFqEN>MgjXH2RScC5NEvFSgA`(0yy7vOiKa%H>XobP)< zH2Kbuo-JgsYvyf-F>2cN>7KSOCfJFyU}?; z#y6(%zFW%n^?#Lma(2Edf}f@RetKY+ViT^ZMUg&W@&0rmQ(q$H&Tkew$MrEx+CIks z{@g1XAZY|rmS=!B4aW;J96eua;s%8v##pZdN6=GA2b)i%^pHgUSHIU;v*0_`!v3(N zeiY=#EhZyEM1^Q&p{iHtZf@zefuokJ)I@WXln|o4yjOE22O{(UMsI zKBNK3?e)uC7_1DL41F8GC)@5DF~e(=j7WH!To_UA6-Hdw7W+jFB*rI|&4aT8qe9 zZ4(Kjn%9@o)YqFweat-+)~$cdGtb2dFc?cSvK+O~@LFiT69CJ~(%nelEoi zRUwZ|daGrF^~x39WwtNAW%EMDOM)1K==p*RWM~Ku`~H!9NS$tAATwtJl1ei!6ch4oZR>Bq{2~cJvhxr^a8)!!k^KcF7X$?xkp-Q2pQDJ( z48@P`@Am7#y5Ea=GS5@3n3ZB1n#R|v0zL(*VDT}^6UQ5Q*(Mqs*foj3Hx4;wpp6t{ zBVc*1Lp9zm68GLuVl-X zIUPYJHd3D}KdcLcL^F!=*xAlgqgY5!(fDeLTqrPu_%{cbY5MR$sHs);_e8`LL?J7m zo9MMx*F{$-QSkdByGVjwz^@r`9E5)MH1A;N2S+m`2&E5YiHPXcSs>0%D{4f6}?eU|kWOZJJgI$Gqy^+!bPrB^-@dKPO(6KQJn zsyJpzgw_4)(~$*jnhCHJ7kZ8SwP=bk=?=evJ4+7bcs$*sdn3LYt;=)c7B~&3VU83< zb1CSf;lfsDXCd{gF;y9kXV7EjRgm2n>Bfj$!e0CoIhlmlC0z*xOywlR8fJN>r`r=_zLoDkeQv{ z;psF!3uyU4lD|#TN;1pLz3$+&MkNC*|Bda}yIYw%sVD8VGJ8DY-Q1T{L8;jxZ_3Fc0&g-{m zMGK?TlA|l7;Iu*Oafz*<1}^7S{!&3r7>uFb#2@#vdZ|D-)Z)x`;U~RORLthoZzWGDw73lI+c%cXnuKy|Bs7Gh7D>0FZpKD%FO~a>lo8UC@}QvnNo5&h=oz(bbB>L7VW_0ktP?Q_zB3&iV+~|p#T$}!>Zfd^IY)DS zjxJpY2K%tRk>iepmQyvc^aSX7dD6%)`|K5S?6`g8r^w)KXCwZA7 z5N)@%3F%Kg^x~wNtU8L1MoJgWchuLHpZRunXkqq{l6I=dQNPB6Zzs={_d$FTlj~Y^ z+@Z&M@0H~iH1zV%WY`1;%-nKasA;tdOQ`1HaOkA#sg!3tffBdE9YIZo@`^UquB%Qf zX?V|!LG*DTVT9Mez;#Lnt@kc>!aUh+=39kB^Rlz&%jzyz*lLey78Vxlwk8wcOJm833R<#SHd1F8#qgAU zx+p%}q&-R|c_GX+!QBwXK6eN5;CWe70?XdL&MrV=c9$k3r>8W=FnkZ65IFm7N674y zY5s6fWl&(xcu6iZYgbK=xa6NWtXm)E(glIv%EoZUm zQzEKCpH4z-;K5|v@(*5n>hm>z@9v;m-n05}bRVZv*3jwb{w&hQ@-UKTcF{Tz&6po4 zn>&ya44d0VzUc65G#0PY&(Ix?kh#LeTN#gy8)NO3Y_rsyR4gQ~bxYmYNr(!g;HE&0 zpB={;6i}9%NO<i^S0+QP7^9IBEzjEslMn+g?L4btHOlM{WGc}_Y6*DU{Db`PavhC&$(`+Ci*q!f zlmCw|aB<{)jGaMcZR?AJ9OXM4(qDrJ=ypLx-PR!o5Y{rndlV4W9i!w`?_!XUkVqv6 zd^gRjc@PFU>hz5Je~D_rANA_IHt*H=DIQ@(YW;wbXj>wkqp7AsC+zP#L`95LG^yn^+uth*0PiFPIUY4o?@`(C zl@9q%41>HFKIxL$~m*OYGRYF z&X;_fbm47KCPWrN516?~b&FBME5WU5F*CD$-fnkLx;Mf4dqtBCQ4 zV*2u7m>kDiqS@H#v;mE3_Tc3a|5wCwdOSv?{L&U3>5}K2V>Xi`m0+MEAu4BC^u9zs zgGBL4gbo3W)$?16mi2=zH1!e+ZI8o12$6*zmy|3b3C1ha>vxk&>U* z-<2a4EpH7dDBE^`{sVeHkH#aHdsMU~dv~uM;RmsMoU7pD%a60JpsDUPkm_ZYy+gjQ z*tEnALf%BNs&p%rqx+S=T6BtspEz|wb?&n?0~2jY8xkhk z+jvw$VA}j)9TCPxs!)8ldyNeVz3bvxYeSLjGgqDsDEvb9h zs6yxJ@`8bpk>)we{ezExSv;EgsTJN*wDmO9v(R0wJiMQAgljeNwDVMBquh(hQC1b-db7E1<~< zX(wY;JA1h?G7Q0=$FXn8y+WS6+@MVQ`*j>;7gf+v4?n?Z(Z6@>wTUbJOR1+uYTkQS zkDeVO@U4mFgml)8zBYl>8UzaN2h=Rdh}Cts)|!YeNpTI+o&^9W*zsSNr#4W_jKRm5 zeLKGd%)TMFZpITj7?4+q^sBhY#0PEC9@Ei5%4R?@m>p=~(8DX}4Y1I7PbbH>rg6tM z?)thEKqiMUWC&wOU>dj>^UE(=8woQkzn3>Kai`;UpW%R6vBVu zG~~X%F1dv?f#X;jd|65Jm7LsE)EAI?X4xquNSH|dL`xdGmnB*8E$vfS1&twc^5yam z6$g3ZNv%i$=^H$;O;T+;m#8gTqipI$C}kt!a$d#59`?q&SSu&2eHl$2!lz$7wd3AE zgk&syv`YYT{siw^HMoY;j32qna!N2c{}*^HQ(0LVnT4-q^}o?5RwoNlwp%qvHt@D# zp!oWWVwRFMm|?P;rF~J~e)K6&BH#-s!#einCl_T$b9E&!_Nq)XsvQGOnMXkgfb%S` z<2aH%3-U@RZ8X#fvLUqA#6JDnk&m;8#{&_j^larVB<_fK9>=Hcs9Y)2POfx=x#F{L zd?%R~U;@(A*2}Se=QTIC1ak3Hzc=Toc0sux9FQWPU`43&f7<)%s4UxWO~eEQ3nUZ} z0i{6@kQR~d?h>h&?hXSG1qtc!rMsjX1OcTxq(r2M?u3f26y5OI@*Ex;YIqt}t zlN4hZR+AXocy^et!^kF&TWTz>72JAo$>1il?`ul-WO@y?h#O=s?s}G1Mcr!W*@Zh# zX0JYtajYbL$>jH>VK)MIwAOcEt%Q#ZOK@wq<+1?zrenM3!EOG^WWYtZ+&B`dT>1(r zSmYfTL{M$6uR!TKB--ihKC0ZYc|e=%k>c1MhQdl$xMOU+G~9m1dZWFD2P&{ux)V?y zD@4zy!>TnAs4m-l`;ntwjwI3X1S5;w_07dc0vCQe|=S z;M(F;VZC!d({Q;o<{q5PWcQl|+vrILEn0;1r)19*6W2B%S?Y)xKw8>vHf|(W}79=qU#Fy`#PUou4PuG+i$PYZK4s z$F4}D@H_pj$jM8Ajxjyd~Edaz#EReYTCvLy=npzSziVy0heY zshS!Ll#mr;5D51i!CJA(oa!u+V?FqMO|>CyMCOgM=H)gW2aX`}dt<{SQXXhe5ld{& zN2BjY1Vak!2r5Zoj02Zs6GkbMb%fd~uj5>_M6%aZ`#DUt&AU17ZbK||*B!~c2E8=$ zFI1TL7Ma`0%DCyJW0+yN?@aOqkvd-};H$?T5*nE03$mD?P1$Y{((=7Q<#N z#(tdK*J&q9H>b*VDOYkL>sHI=gE$XyZOxWh@&$K`T4IqEcQ?O})A1HoDLZ3_zQ0~L zU)uh@wXsYQJTZ#(Xu7sXwzV`qZCTy#(KO`5xUc?+o`1fDbKJ%O^9^wJR<4g|HX9dE zJ~YS45xxzMyxzy^I5P)}#`y-%kFLPNgPBF`d1=|8$es^24#jZl#s&3hqr5<5_&jT#6zo zt2gCL6!Qi!O`&*>v#g)k1uPe5H1&OAdyE0QBV!{zVHw=#dl zq0u{RHFs~REiSm3@ZuEr<@);OH?K=Me>E>S6(`>hHBOHfPBR`#H7PycynAn&_&6TJ z+)1*B*E5cA*s`8hrY^3Qs{wpVt=WncAOijP)ZjD;c;DZ;%3hMSJ8&-7f~D~r*9wMfB$$>-l9P|$HaF7LhPGO2% zu?LrKUVcIrg_K1`g<+1xXmx2uFdQthmwneX9IO7s@<2p@a_+6|J!gaXJ3nKO101&# zub*N0uf@VY1I|ce{=A?m=d)v-=4}aMNNh8-89_rh6mG>zDw1AY6wttVZ1lvt(KQ7! zWZ17ZL!C_Tk`wfIiGlb&&z~=&fM%Adzcsq$y^HH5MHhNu*-S~cJ7f~(WZG~Wuf2o) zgcD{+0l-6^qRz{KSdskTr9e$-0L(+w%5lEpxXmW97UUmDm|cSI5qHW)hrC%9IPmzx z7w3OB209C2Cq%$=a7vRshJ-*;hcZ%og(Jve1HMr;d2!-ri!_^Ws&Xpy5vASXBkQww z$xJ*TMoMz-$bow>KvOVdKxEfCPYI6RE=ep!LGL~+6{Ep~hQb%b@=$kn>5nTu0tG|n zer9?3G52gdP`&4+mvpxbbgBjUz|+2R1kJWDD{ z{vRg_LQpD$RPI!}mxrKoxF1%F$og-0WZ-e((4S(LSo+Lf40N406j;(8Eze_egmWSe zl%x2ya;e4E=||nCUkZtO_`*YeXCl4nT94~QkR`ayaL|EtV4O3~)GsSmt4wVw9nn?j zdz!)ZL|gIoKa&_>mV%z;Gf8xA9F=x7Lc#Ux@n65S$yj*(6|c+26a#aPr8=q{L_#<= zTdla_tp&TZmb=oKAKL?k7Ps<6Yl{9X*59(w#h1*!*&kLDv$EcDy2r%#O}I$Cdf_4t zqd|VAi|*=~r55#DL#i5&S~+Ep8lne*}%?ii=TJ`-Ol z22^cZ;V}PmhrWu}7FS*nszQ;UJ~C+K8w|)`szy3?K{@{xXrUbR=XzUyI~qufGYWX2$j1AgiND+WaDC}Mqvv5uIY#D&C$v6=%fJS3 za~zi<6C!PciG2mT0-W)dLRyRLI73L*k`ptdV_NANN-v^Yu&OZ0KD54RdfR|1ReHF* zTOk4&-{ub&Fks@3Q}r>s{{wy)9SRcz!~?fNNC@G8sqB;P>}V}g|2#)HWEubFk14tq z`S(C70}c##z!YJ}s4c&Y5p(w@f6zB!(VM~eOUX%0Pt~>GfcnksP_&u}r8FOEe#~dW zpPE)qb#t$QsR-p$uTQ*hIP$IcXoMQL!wsP@YU2s_rfS;9w+EdNQ~J}XaQA1ZknN3y zXyUHT1`^ik(Gv}$QI7B({ewBG^=bL>T_T#1(sA2S10pT%(t51&#RjGRvI{!MoCpKW zd@^MiWwG=Q+vzYa?aYk>L*y6=WBx|_m~_gQ12O-d4YmkF|tA9DLYS8NOvw$EQ54MW=uVnD{H86tf zSG=o3>X(Cc*LIJSBM^u;%YPaao_-Pj?;T2oj!C4l3LmXS4sEzdxqloy+&IHLM>^pV zX>+YDt&sn9g(8d52#mlnzd!%IHsBNdi=mLAN0eOA0BdPlX0%tQMp4_=Jqz6|=jZtk z({2yqS~ui%4TV{(4a~gO_RN3DglHg4c8C96iws-{@9d7lARn`#CkVMyBU2X}a#~lz z6ZAewV))UKqf=$k{pT+j?won?_%VlIV-jWq2KF1CSA`jG8oU$m-p%{{$nbviax~*> zTENTBfbt(SbQi48sr$)ayLK0|Q0NYYTY6Qk0H$yZRd7Hs{jEv1o1sE6@4E2^pv^}46$y}6pn7(Yj%NSkZ7`Q~Ibul~Rt6n78(m?;%t}AZ* zS4J8wdwzP^Yr?H_1kU|b9L3fo29CAZyuPek*kRGC3FD@{)Yk-!Ms8G`cm0K)j2#84 zcP`-vti!2oOClMPA2ep!_l$qhv3^Z`Oejc*fuVfn%uTpG6H(Q8+WMXJhF5V}xfo+uG=Baq7Ebr4W%n6E=kWM7c}I=+yD2kbbhj%U z=<2ycG!yi3I3+?cF{WMixi0->ge2~`8u<%E_)dRLk;K8UFqUG zj1*106%)_MP(M9S$U{a*mcjLEH0DKLW&%B9m9=)Bq?vD&A)D z=RB7&Ga@5zSm?p}iltv`#>`sp=)b0Z4Q}wFe5sAPek-dD^Y5@i-iR-ZrC@UarLKT!coNr+vW*e@;zTzwnlaN^Q&+pBTd+qnWmq2lgzK zvKQGl-wq6vDZ{NuyE=y&*N#=M3Fh53bKvS&;l3sai@uLuv)Fl0>B?p3=Sbcb(L&F+ zKjDPJzu~Hb*22Q@4!^2*1_L8O1IL;hUzbvD!x*cQik5;^4638-jk(2a4SBA@Y5Zgz ztwU2cT)5ru%5tk!=hf!^bXXgRl%Ts@b+Wk;>}`ZKCE##il!Y#V|rcwWk147lV@%UD7TadWL%0`;jxDL%|K0w?K#SmK=`q4-U_PHa-A^uJg@nFDJud;5YTx&;!7P`5 zAC6Fu{IdNXuB%7G$fHYfCf#d*lhD0uPmE5hoS(17f~>2RUanQvPoiddr(?PugPyJI z@s*mYiZ8Y&o{rkFN|IiSV{)Nkx<3Y{$xnXV@Fl?QA?d#?-*UH)RCVpq-ALItvyX^F z307hATX!9v_^a)c&j_Pm{FMo{7i@A@e7Y1|T`Ny!cn>wCGHRLpFROh0md;XnwA}jD zp)I+A_8nf8HZ1vNs~2})X=M>Y6XI#Vpv!rknF>Ci)0@uWsz2mEj%Lr_rL20Xg*QHs zII%E|d?;I&PwsKxA7q)YDo??*RX%DE)v}3QJ^Q>3BLf5D{;v2_L8ap628$qAbebJc zZtB5@XLB%vR22n|Gy4lw2ZQ>*Oh|XExJ{1T@zeI9Pz~wP16%odn9*V}%242Bjeo>k zxb-Ghe*Up*T5=;iLT|e&jFz`#^qI^u2PHtooEN*fc z5&6D1t_sH|%re^0FB~zq<%U1Y*c$?e`Nv>u(DifXNkT^@KUV2GEb@oev1+x12S;HR z)O^TNOjP1X^cnS68tH_!%A)cZq?~cOMLC&c#X&*0z(CQSDX-w|17C`R%s#$LShF zfh=ug?O(&kjo6lQzS2fA90hGAb=AN9E9CE9k6ZSw%iwO$hpsuyKmAzkOVJo?J5FZ! z%N76US~q+`Xa6>6+)^>2E%CAH#)1cvKvft1=OQd?ZugfdNtYXgTg>*CV@L9p{gazu zH{RlH;O=pA1gKcjQfTxO8*Yv1xCAy_WoTL1;F_IVKd$sVnHB^hQsz$`An2~Y-}jvv z1UXCaXz>s#Q>1J`4PENr*3^tS)YXj6N{)7+mPx&gW4%~8YhyHm#(Vx%TW?>ggn^_| zycd)=9DGm|iaKho`Nht5x0)4&jW|k zr1J-TyPdB1NFo|9E?Ayw>d{W8Wzj(_Yft8D1_{tBE=% z)JkVE^@aNi`YbM}FFzXC>rgXYev*ub%ejpB1PYG`9D6FqHA-i^yN(I@tiCgL5D@A- zQr;%N<<;jGyBDFc`|TF9;_-Y#&kJ(PiEO8#HCmO~u$IGz$_iRj2i9oMI^8YRQ;q7x z`+VQ&#dDc5Da18ucM^28LlzZ_=Z9R)gYKaw6Ra(&l?BKLw{(w|H7!C4uQ*C7Mcyl+ z5;ybW%1S>iDe2#RKi~V9kC}d1;PjYL`-Z@NqFOXKL&sD@TGnA@^RNVP&VhH*e;2%& zb!d2}d#?QPKk_LByM=NP$K7#Rn3NC*$y6^Z>kf|`eE#r@%hjK2PMx%o>0=trrjeoB zt?`kPbo?`{UE1!bX>UiY)~`17L)z}rg?A#YMxQmDmAI{KL=;-rmsh;(Ucu+9g;zC3 zmM^2tI5{0I%|Yy&h?$=_ZaTuh1IjXxFIp&39m!TT(vx$faF+8Mrx@4AcwKX<7^{&! zA2wSYaHIMCg~AtS3}*=DO^m)JPf`62_|azLX3smSomL3O3_(wd>U-bLceN=D+7*(A z&9?toZ@>1&SW&@Rne6;T!^yO2>)s77KkbEy20vj80)Gq~urKA8;$tc!*Hp{j-;o6%d%** z_v22|XVKgjO7hcVnVHGP!us1*rSh`*8GqsgMam_ZTgT0 zvXrQ2hO#xdSL|aBEzPwx<8KXdYd6noma2qYv#E(~S;)FeNnl|dcjK04rFoFiCzNi3 z;uG2MKs>Hvme)*yW?9k=3#Q4&gSW2PyH+j^1fsHLzV)aHw|#WIant%>B6LXLDMR7r;j z=3NguONjjkR$(YnaKx_sB2jz)4Ci#zB2@narZ(P)1xM-}J`F9C6lYo9ilV4Xn#sMV z=h0Q&;s6W|cy~6;pEaI!Z%8Tf$J^M$`p|jr?r`dxAB8^5Q!ixD3CreB&cvvW1%2ck>_1yp-u`(Q`|C}XKhQDyV^Oqkhgm(uvvh* ztWi^^SG`0(`J7&P{!6*F;k1C`;BwB}KYNLhRiKD-dcXN~E6cB<_0zD}7}ak+ryGae z#(Kh16zAagz3JZjoXYEL6RY9=^MYspG0zfFPc9*Mz`&5CMDQJad8b}OU>AJV_ae$s zj)576$4EROW1!)T|HEF%(GK~ccO-wW1Smi7?^9r4M2L8w|MQFg`eMk(dZy>p{{C3O z!#~ar{-XB3cscK9|M{WhI{xEh|Ignk>&!=*i$9+IFFky{@SF1$XD|k^{?#hzosqhD z76XHZ^k4k|@_het&Hv{g{{QK!|05Cq_H+aF^!e3Et~-mgckVp?_U#*tIoHlKBxF## z6WcMng?;H#M*ZMlncBZwpY;>rU*bDjZ;W|p8p>huJq4I^vViA+8)jQ&&b{{WF@?JN zERY{)6AV8?Zh?WJdrnPxY^zHkKT*hU5jek8`qHF#zMJLK($I*(KtKAO+p!&K!^3J@ z1UGIdzF@rY=a<%JR7Y^@eLkSk`GL1MQ81l+mcME|&vLxdv?GQ+^=5t@6r%>{EJg~29Txj(H@H9CmmRzz%PVhw8pmaakB@JE zV);iky|2RzwxtQTwE>t+O+ZGbGt%+-{9|urpJV1TgVAG_WiZdMzs}2x4+hp#M{wDl z8=RYkjO%sPsRz1dwJN$&2J8!<0E&D|ilLrEzVsb%Yr{A)o$L8~Pm z6Xt)jApfk-P*bn*<;HI4jlw4<*Bz1meEtbMZG{$7iD@5<(O@0|+9VqBP1hQYTK5W| zBU4Y~<|PZNJw0*L_B!4%tj!y@tjoB*R#3nq=|$ng&Y}jg!ub!E*_yt55es!( zn_#ROw~P>QT#f=(sI0RW@nD3=6N~S~J&Oa`>V4RMuA@YPnS;{%^))0_hFI&*<`aDgImsgQ3H7 z_3qzqAJ0(y3j>XOj@ZiXlw#r|>|gYy?IWP#?8u%p6y z`}*iB1~Sau_EraAnk965rqN1&ybDO<`VX__(=J5-Iu^v<55+vEwFx>Jnr>BHk5sUZS%z&9i{n*gc()(P$(OyrF1DSK2qb#&WYY667y1}* zUyXSh>@j^QK*N*EBG>n?Ti^p);rRhMch(g=+PrJO+8`5Zg zZD(8Qm z;E6yctkR_mmeatp5P_=EZVUregK@bQQ{#%Gs&%#=!E{RyXI|xEmR$ritV{-g^4}6T zT7MN19IV$K$FR+m*oz-WxpM;H3WcGOv9we9PgV+h0-w(znP2_&TzG* zrlb&s2EaDP7cB$1UEsma(&G9TFJRtO1=n_Td<>?9g;BlmsdOv{qsr>n5K32=r|B^1v8VimUZ0@uX!D(p$Br^P zs$UF*wQqf@5x%9V`8^wJ6m9&`MFiFp45JctDL&z=u`w;g)`5bks;Na$eKRUr02$~9 z9!YW^Utc-^NHA)*8vIDn_4KSH)P`$~D^OVsd@>N#b{sLBJ>gj`7xFqBoeT>NO~Sfy z&t$5>hlEAX+vO-y*E3{jX&{VN5lkz?@ih6VoQ6is$-19FL7qH8SX`Vrlf^o)exl|& z<13*H%i-r2|I^G`@Z|HUkvhFV@#FPT6Puo!os{q1y=G%Cpnl3!9FSb31Z5r2b{bCw z{;Vj0M(-_uinAGmAOTdFFyRwg-2AA-K{$HBts#&r6Ie;ZM|hP&f&R@5uonVh1Wq=t z;F9sGL6_e))+bh0*8Xf&W>|V9fHHa2%}Kq0u}UmPRbZBB2vv#YxCWwbh;Adlbc@rn zABVX*0oEQCOWD>;-_Wv56HHkZV2AAdTGT4%Wg$wD06BPwZQ$Ib2XhQ+Esy5+DE2&d z1p}@8EZZg#u~x`syIe&=-A|l*t6l8iqfCI264KJjzE&BvJKWquh$ z4KW=9rKC!Y>keIFQ$dpA)Igqg)pir1?*7rt0W48(Z>nU8^TsoW|s$+ zCcA!xh$E`BUr53u8h(cIs6F<7l66fmFXu#)r!ES;8N`2^<+1UE#@@09P zR{Li=VhM@JjuZj%Z{NP{g&j;s9t~*d0s(1Kh)YOGDNWXTutT3@ z$45R*eSQ5H7X6nH5hgKdS1Qe}Oko1MasZ57PKFQ-prY)Dd(xqeQ*sa*QWNCa*#D?M zv*p$UHZ32bl7U=J)sT>o?^RCu+)k@G@EaXb4}|=#kaH~Y+nvK>l9@XY=mBE644BU> z0aC62$e!Ki=hLQ^mL-6dVJWOTAwWikHnSWq5Ok~>H$LY7;gtC+{SGGKSZ2$4^lv1v zP&Zl~s}O;pA<)|!BN^~g^F?xZITu`!)JhQp#y0^04-q$Lu(vuMZY^5g4dBE0OH&guQ)F9) zc2#LlzODcu6VllYz^?HnvK?rFx_(c;tSPP2`w*u!0}p0kR1{I;U#VB_HQy(OUc zTw77b!nw&H2XaJLMGO@hUZfzJKoZO2lt#-<2FSb4x&nx|9a zYWn%*dHxpF95o6^kj%72W?PJwVq;?~_~DTj!{!x9_4J4d>!t%^l@7p1_@o!GLKZ~q z5k!|6waVpo76%laoy$-5TLczi^Jgj};j92;#h`ryStnqdP6xXb+aenn z0G>S>xy<$JNswVdfsL9u$(isv^+3$Kpr9aXq%ak-J_Zw$<4%*g+uQa<0x}gYvgC z1=!h@Av5p-jDA+CWF!jmQ!yMC8WpPsKw*t!!#K=`6Tms3>xDumJP$4SfCSDJ7}rW1 zmQN#c20t5#yeLSZ7-TF$^oc5gyxQYQ8w4we6Tu;5>Ia=H zcH6TIBxY;o)fwzs1oni!s0RkcE?Y*__wHqRot{7>Ee9%v0CPy7M0;#09RtGXhkRl& zz%t}08X~3r03^}DD_Sd%jtl<+MsWbq!vL@`#K4JbSvLCS{d*2j>h@^>rM^^1?D%lc z10oS$D$4u!)73mcuvxEPza9V)XSizzoI4#f=}QZ&-~-lMN*WqqAOFg-7f8x8C?+Gr zQO5Icu_*UwnU&Sif~?o(NF+oF#pWZuW0u_sFE)T*c|Xhrt{(`F9--w0PxX*0S~sW& zc&}ODERQLXuRfetB?jF7fQnc$l8GIUjMqer^&?<8yFoY@6#%C{zwCn@zTC(X(CByN z7Wk2U(8W#{kH|K|r^3PnhZ@F4MkF%nea>J2Iy?X$i@3X2KkzuPZ)A};(Mp$zM~Sfl zA7FfoH+fYl`e>(Puv_VAF1 z|A9z-_){apRx5oz(SrvMW*yZ9vbpSLqgu+$N1lnX0$T`5=RPm*So(YIDo0{Gzs6yJ z3tcCGq)BevlcKRZ#K3qw1DF-Ir5l3cV#{%EB+H;MMU&)td=UN!GXo-q*+b9>@m?@Y z?yc>BTR?CJkSH2`xFpYgaWtr~R=ji{ZF1W3BE~hb%}G>@mMXzE(wV`f5?h6$}g|vN}6L@XN{_V-A6uggW^{W04T)0vq~caJ-vX1W0xqF&DDD8?Rlr z=M%v~FzQsRb@A=R$!fkG^jahlUOKIT(4Jb{s(M4@Q$pL6^}hMVix(p^J0W^l%&S^e zfS~@_vuEx3k`UY|CyU@7L$+)##{lpfm<>g+{}o+JJBvVs(g%5VimICJIyT3Z@5)zr z*S!yRSLh)<0dZQQ)C$vLd)LkrFFb1Py?zIo^IkK*b2fk}bPN6SN)7Jv>>3AJxyEHi;!GQ=*hwYBX}mnBD%1zrHf0-t%PLLo(Ku;z&ZL1kjh1{ z-qHCs{QTMAFKGeYLE%IdvQPy0_$gn$JRNtLi-+uWFv59*EEWVkgPSvL14+U-fZdk7 z4q~82`&JO@v5(o=oL05qfpXQHsR=Hq^`*-WA%S(LD;V_*KtkdI$J>gZLPUJ^=RqF2 zfe$(batCzG%(9Sp=mqr0?y~u7%Yi;L1?(X$pa;OEik6mn2sbV+IlmS>6k8iYi;KXc zqAvbyWDOoYQiHU=0CRF^Cq9I~i0lBk>jT2}R4~J|5M9E@LqqQkecoa6S2pVlSl zjxHk^NU-xX+}sCoLsh%q&31rwI|K68te1t@jM{@C83y@4NONH!xh1$eB*MR})s_Lh z67Bu_q5v>cAs7$|BFjBot?J_C_d0P8B;(V7%%ch*6D0Zuta?hv!MJAL*nSe6QE2yj3IKXX;>#q^IH5QX#Vf+WjfnP2#DfW#np0321a zRdSKSN2?{&e=>aky?pcUrSWF`Cx62sH4;jsHx|DBZ`8s6Q$_agh5z@<>i_?8|J}7) aIXyFge$Dxl_FE9L!s5a*PxGGWz5Fjhat{*# literal 0 HcmV?d00001 diff --git a/config b/config new file mode 100644 index 0000000..be96159 --- /dev/null +++ b/config @@ -0,0 +1,64 @@ +# NEAT configuration for the fixed-length bit-sequence memory experiment. + +# The `NEAT` section specifies parameters particular to the NEAT algorithm +# or the experiment itself. This is the only required section. +[NEAT] +fitness_criterion = max +fitness_threshold = 1.0 +pop_size = 100 +reset_on_extinction = 0 + +[DefaultGenome] +num_inputs = 64 +num_hidden = 10 +num_outputs = 3 +initial_connection = partial_direct 0.5 +feed_forward = True +compatibility_disjoint_coefficient = 1.0 +compatibility_weight_coefficient = 0.6 +conn_add_prob = 0.2 +conn_delete_prob = 0.2 +node_add_prob = 0.2 +node_delete_prob = 0.2 +activation_default = random +activation_options = abs clamped cube exp gauss hat identity inv log relu sigmoid sin softplus square tanh +activation_mutate_rate = 0.1 +aggregation_default = sum +aggregation_options = sum +aggregation_mutate_rate = 0.1 +bias_init_mean = 0.0 +bias_init_stdev = 1.0 +bias_replace_rate = 0.1 +bias_mutate_rate = 0.7 +bias_mutate_power = 0.5 +bias_max_value = 30.0 +bias_min_value = -30.0 +response_init_mean = 1.0 +response_init_stdev = 0.1 +response_replace_rate = 0.1 +response_mutate_rate = 0.1 +response_mutate_power = 0.1 +response_max_value = 30.0 +response_min_value = -30.0 + +weight_max_value = 30 +weight_min_value = -30 +weight_init_mean = 0.0 +weight_init_stdev = 1.0 +weight_mutate_rate = 0.8 +weight_replace_rate = 0.1 +weight_mutate_power = 0.5 +enabled_default = True +enabled_mutate_rate = 0.01 + +[DefaultSpeciesSet] +compatibility_threshold = 3.1 + +[DefaultStagnation] +species_fitness_func = max +max_stagnation = 20 + +[DefaultReproduction] +elitism = 5 +survival_threshold = 0.3 + diff --git a/project-cancer-classification-pca-nn.ipynb b/project-cancer-classification-pca-nn.ipynb index 4e9a861..9793ea4 100644 --- a/project-cancer-classification-pca-nn.ipynb +++ b/project-cancer-classification-pca-nn.ipynb @@ -698,12 +698,219 @@ "del e7" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Lesen der Daten und Erstellen der Mittelwerte und anschließender Auswertung" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pickle\n", + "import os\n", + "import matplotlib.pyplot as plt\n", + "from typing import List, Dict, Tuple\n", + "\n", + "def load_results(path: str) -> Dict:\n", + " \"\"\"\n", + " Lädt und konvertiert die Ergebnisse aus Pickle-Dateien in den spezifizierten Verzeichnissen.\n", + "\n", + " Argumente:\n", + " path (str): Der Pfad zum Basisverzeichnis, das die Ergebnis-Unterverzeichnisse enthält.\n", + "\n", + " Rückgabe:\n", + " Dict: Ein Dictionary, in dem jeder Schlüssel einer PCA-Komponentenanzahl entspricht und\n", + " dessen Werte Achtertupel aus Durchschnitt und Standardabweichung von Trainingsverlust,\n", + " Validierungsverlust, Trainingsgenauigkeit und Validierungsgenauigkeit sind.\n", + " \"\"\"\n", + "\n", + " results = {}\n", + "\n", + " # Über alle Ordner im Basispfad iterieren\n", + " for directory in os.listdir(path):\n", + " full_path = os.path.join(path, directory)\n", + "\n", + " # Überprüfen, ob es sich um einen Ordner handelt\n", + " if os.path.isdir(full_path):\n", + " pickle_file = f'results_{directory}.pickle'\n", + " pickle_path = os.path.join(full_path, pickle_file)\n", + "\n", + " # Überprüfen, ob die Pickle-Datei existiert\n", + " if os.path.isfile(pickle_path):\n", + " # Pickle-Datei laden\n", + " with open(pickle_path, 'rb') as file:\n", + " results[directory] = pickle.load(file)\n", + "\n", + " converted_results = {}\n", + " for values in list(results.values()):\n", + " key = list(values.keys())[0]\n", + " value = list(values.values())[0]\n", + " converted_results[key] = value\n", + "\n", + " return converted_results\n", + "\n", + "\n", + "def calculate_means_for_n_last(results: Dict, n_last: int) -> Dict:\n", + " \"\"\"\n", + " Berechnet Durchschnittswerte und Standardabweichungen für die letzten `n_last` Ergebnisse.\n", + "\n", + " Argumente:\n", + " results (Dict): Ein Dictionary von Ergebnissen, wie von `load_results` zurückgegeben.\n", + " n_last (int): Anzahl der letzten Ergebnisse, die zur Berechnung verwendet werden sollen.\n", + "\n", + " Rückgabe:\n", + " Dict: Ein Dictionary mit Schlüsseln als PCA-Komponentenanzahlen und Werten als Achtertupel,\n", + " bestehend aus Durchschnitt und Standardabweichung von Trainingsverlust, \n", + " Validierungsverlust, Trainingsgenauigkeit und Validierungsgenauigkeit.\n", + " \"\"\"\n", + "\n", + " assert results is not None\n", + " assert n_last <= len(list(results.values())[0][0][0])\n", + "\n", + " means_and_stds = {}\n", + "\n", + " for key, value in results.items():\n", + " train_losses, valid_losses, train_accuracies, valid_accuracies = zip(*value)\n", + " \n", + " train_losses = train_losses[:n_last] \n", + " valid_losses = valid_losses[:n_last]\n", + " train_accuracies = train_accuracies[:n_last]\n", + " valid_accuracies = valid_accuracies[:n_last]\n", + "\n", + " avg_train_loss = np.mean(train_losses)#, axis=0)\n", + " avg_valid_loss = np.mean(valid_losses)#, axis=0)\n", + " avg_train_acc = np.mean(train_accuracies)#, axis=0)\n", + " avg_valid_acc = np.mean(valid_accuracies)#, axis=0)\n", + "\n", + " std_train_loss = np.std(train_losses)#, axis=0)\n", + " std_valid_loss = np.std(valid_losses)#, axis=0)\n", + " std_train_acc = np.std(train_accuracies)#, axis=0)\n", + " std_valid_acc = np.std(valid_accuracies)#, axis=0)\n", + "\n", + " means_and_stds[key] = (avg_train_loss, std_train_loss, avg_valid_loss, std_valid_loss, avg_train_acc, std_train_acc, avg_valid_acc, std_valid_acc)\n", + "\n", + " return means_and_stds\n", + "\n", + "\n", + "def plot_results(results: Dict, show_lines: bool = True) -> None:\n", + " \"\"\"\n", + " Stellt die Ergebnisse als Fehlerbalkendiagramme dar. Jedes Diagramm zeigt Mittelwert und\n", + " Standardabweichung von Trainings- und Validierungsverlust sowie -genauigkeit. \n", + " Fügt zusätzlich eine rote Linie für den höchsten Genauigkeitswert und den geringsten Verlustwert hinzu,\n", + " mit einer Beschriftung, die den Schlüssel des entsprechenden höchsten bzw. niedrigsten Werts anzeigt.\n", + "\n", + " Argumente:\n", + " results (Dict): Ein Dictionary von berechneten Mittelwerten und Standardabweichungen,\n", + " wie von `calculate_means_for_n_last` zurückgegeben.\n", + " show_lines (bool): Ein flag, das angibt, ob die Maximal- / Minimallinie gezeichnet werden soll.\n", + " \"\"\"\n", + " # Schlüssel sortieren\n", + " sorted_keys = sorted(results.keys(), key=lambda x: int(x))\n", + "\n", + " # Listen für das Plotten vorbereiten\n", + " mean_train_loss = [results[k][0] for k in sorted_keys]\n", + " std_train_loss = [results[k][1] for k in sorted_keys]\n", + " mean_validation_loss = [results[k][2] for k in sorted_keys]\n", + " std_validation_loss = [results[k][3] for k in sorted_keys]\n", + " mean_train_accuracy = [results[k][4] for k in sorted_keys]\n", + " std_train_accuracy = [results[k][5] for k in sorted_keys]\n", + " mean_validation_accuracy = [results[k][6] for k in sorted_keys]\n", + " std_validation_accuracy = [results[k][7] for k in sorted_keys]\n", + "\n", + " # Plotten\n", + " plt.figure(figsize=(12, 8))\n", + "\n", + " # Verluste\n", + " plt.errorbar(sorted_keys, mean_train_loss, yerr=std_train_loss, label='Trainingverlust', fmt='o', linestyle='--', alpha=0.8)\n", + " plt.errorbar(sorted_keys, mean_validation_loss, yerr=std_validation_loss, label='Validierungsverlust', fmt='o', linestyle='--', alpha=0.8)\n", + "\n", + " # Genauigkeiten\n", + " plt.errorbar(sorted_keys, mean_train_accuracy, yerr=std_train_accuracy, label='Trainingsgenauigkeit', fmt='x', linestyle='--', alpha=0.8)\n", + " plt.errorbar(sorted_keys, mean_validation_accuracy, yerr=std_validation_accuracy, label='Validierungsgenauigkeit', fmt='x', linestyle='--', alpha=0.8)\n", + "\n", + " # Gestaltung\n", + " plt.xlabel('Anzahl der PCA Komponenten')\n", + " plt.ylabel('Werte')\n", + " plt.title('Trainings- und Validierungsverlust und -genauigkeit')\n", + " plt.grid(True)\n", + "\n", + " # Höchste Genauigkeit und geringster Verlust\n", + " highest_accuracy = max(max(mean_train_accuracy), max(mean_validation_accuracy))\n", + " lowest_loss = min(min(mean_train_loss), min(mean_validation_loss))\n", + "\n", + " # Schlüssel für höchste Genauigkeit und geringsten Verlust finden\n", + " highest_acc_key = sorted_keys[mean_train_accuracy.index(max(mean_train_accuracy))] if max(mean_train_accuracy) > max(mean_validation_accuracy) else sorted_keys[mean_validation_accuracy.index(max(mean_validation_accuracy))]\n", + " lowest_loss_key = sorted_keys[mean_train_loss.index(min(mean_train_loss))] if min(mean_train_loss) < min(mean_validation_loss) else sorted_keys[mean_validation_loss.index(min(mean_validation_loss))]\n", + "\n", + " plt.legend()\n", + "\n", + " # Linien und Text für höchste Genauigkeit und geringsten Verlust\n", + " if show_lines:\n", + " plt.axhline(y=highest_accuracy, color='r', linestyle='-', alpha=0.5)\n", + " plt.text(0.95, highest_accuracy, f'Höchste Genauigkeit (PCA: {highest_acc_key})', verticalalignment='bottom', horizontalalignment='right', color='red', fontsize=8, transform=plt.gca().get_yaxis_transform())\n", + "\n", + " plt.axhline(y=lowest_loss, color='r', linestyle='-', alpha=0.5)\n", + " plt.text(0.95, lowest_loss, f'Geringster Verlust (PCA: {lowest_loss_key})', verticalalignment='top', horizontalalignment='right', color='red', fontsize=8, transform=plt.gca().get_yaxis_transform())\n", + " \n", + " plt.savefig('Endergebnisse_mit_Linien.png')\n", + " else:\n", + " plt.savefig('Endergebnisse_ohne_Linien.png')\n", + "\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "# Ergebnisse laden\n", + "base_path = 'Experiments'\n", + "loaded_results = load_results(base_path)\n", + "\n", + "# Ergebnisse verarbeiten und plotten\n", + "m_a_s = calculate_means_for_n_last(loaded_results, 200)\n", + "plot_results(m_a_s)\n", + "plot_results(m_a_s, show_lines=False)" + ] + }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], - "source": [] + "source": [ + "# TODO MNIST datenstaz mit wget ohne tensorflow oder pytorch einlesen" + ] } ], "metadata": {