From 2ecfa79eef058deb9aef74fd61628cb067b61e53 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Wed, 20 May 2026 22:21:34 -0400 Subject: [PATCH] update covariance matrices for surfaceThermoPt111 and adsorptionPt111 New nitrogren calculations were added to the Platinum library, so the saved covariance matrices for the library and the adsorption correction tree have been updated accordingly --- .../adsorptionPt111/covariance.npy | Bin 686920 -> 798976 bytes .../uncertainty/adsorptionPt111/groups.py | 1662 +- .../adsorptionPt111/species_dictionary.txt | 2402 +-- .../surfaceThermoPt111/covariance.npy | Bin 265120 -> 282880 bytes .../surfaceThermoPt111/species_dictionary.txt | 2402 +-- scripts/compile_BEEF_cov.ipynb | 14739 +++++++++++++++- 6 files changed, 18027 insertions(+), 3178 deletions(-) diff --git a/input/thermo/uncertainty/adsorptionPt111/covariance.npy b/input/thermo/uncertainty/adsorptionPt111/covariance.npy index e8f68a24d07495409b2c68f4a8722654eaf82ae5..c0c55ed1a6a64e0334a875fd219f48d905fc8d05 100644 GIT binary patch literal 798976 zcmbrmc|2C@_s30xLIY9C5Ghj`Lgr*;9#ZCzA@e-X^K_fJ-Gh0~5D}pyrP`=y(5Ny- zB11ApsCf4Cdd}Xz|DUfv&h-=CXgmfz}~^n&R0O5 zN8qfZtbj0&fTNeMzpss_wU@8G!~gr|>Nf6v4(OlzIoo(UpnoqYDK0I{gZ@QGm?whg z|JM&gv+nrq3zT?(%(RWWq3$v0>`)9CIt9%ktE6dFA;QU)3fNe6TowrK+Ud*hi3)9Qj!Y- zj^iVXf6S3;(ueSpZ)Dg$dN|;+Qwls~ z;tJJ290!}9*=WW4$zXF(vzL;b3G*+a?RE^N!%8|#NTScDBTRiTI!Sx z@Eu~xBH=Q}vC7Y%(m+{7u4bkz1LDJ$ypLU{fPQ&)x>b1!{Pqxv64LWPij! z)}@hiC$AF#nxE28=@MXsSGkd~ISEqNP74IwNQH`Qy+gT=qe1*bt1bZ&;EQCiW{m|A zd?I#}cT+>bAe;5V;&1}2jD;}L<#<8pla2;YE@O~qR4U8*o&e^=_FXq*V&Jc*8uv%F zbeK0%u9gVaE8d)Ig>j0m4RUSpjF<{7J!@*V!LOx&0-pN+%UOv=0WzNJJs7B8c4 z>7fR~9@aie_f#99`R|8L&Hi-Lm=Th+%EvrRjD~k*k6iW&hvD(L-QzA*WlsROTHp2X ze3k^e3FV4cll>NE1e+TB_BF+1Xxkf|_$4|9+$C-_51S=Hqe$w)o0}0( zxS!$7^)fOP5L#bZJkp0yA(M%0zgS!ctBvGOGIvGedKXttDXeHD<8iP%y3yMB6A3bQ zlucabDaPZ9PIz*0(j)_dhqcmFHvB<;mWHQxDFUwiTkH5a8;Qp`rn8C4Ub-(YrNSi3 zU-c@kKs;ZmtE6r-iXD8RhD)h-{onUB8?)J@j{#;O> zz8M42%+ndmjgff%$V@g2%8$DOXNTUEIV2LI??hiJ(93~#<|POBSG)-DYh)WhGQco< zNbk4Hka`BWTGH=?wAB82dvf9`#0i~l4!fBHkF!EpE}FO_65bMp*CR=Ie2Z(`R(m#? z0X-p$N!pJSA;U3S)~-7Z=K!WRnBM9ydh@|#U@B&BZ19eQvw1NsVJ#&18daJ2lhz8)zrE8&Eu2@Q;j3}60KG^Uh?TD8 zj;>LmjzLZ=OF0exy#8kS>uoC3h}^wRSCNbJ>3u%)abAHq_(ii6BKd*<;=aNT8p0X4 zZY*^acaL8Qg}xqtk(|jeu=@B`!F*Q=&f%$+&qa*ENl+K`c3oxvVWdCp(m|g7G`PQ% z#G!uF649l4c087j2M0~M(EM%ybD_R78i^EKmoZ+&e@N_|-jNFXgsgf3c+bOxM#dk< z%@oMo{?66>2obj85?(rnP+>8*_JVj#3^dLXTtdGPab9PB42nPbj09$0?w`atP<@nm z-kIo?iSx;R_hrtcJV%7OQ+nm=i)c__vM{SfVnL?sTT@t8G_J!K4>5nB_1MzUA;kZTuMT&ksj`)F0+L1%lA z4Q3_{N5q3}MSS4Un=tsM$gWgsbpq#(QdF?!muwGM``hU>S)UENx@u(Cdi+4uQs}nC zzDUTs#bP*QM#6p3C+#1f_J-wy{I6Pl%1jpSi=HeheWm%4f%^f>UmX=UvzSxK#rcN$ z2B-GWQS*E+1oH=&ue;#z>o>1X5)^g*>j+9nhtAv!LmX@*D5>8bK>scs-kJJlkG>|u ztJ%}Gr|(BYmgx^);LV0dd;{m?sZ=<&_SU2ST^cZmdrna_C{Vzr*GR7y11d6_cXzag zf=V2pBu`)h_{SbBQ=3SHnHn7q@58B3uUBDjGMEhcl}3>-=ab;CX@qvmRx)((I}~|j zB!SG_eL8lRcnIP7^ha)YJcK*`GpH*Ig4VoKLh! za5N|D@~#Xj&|Q9KEgOOQ;CkA;gar!RJ)rSHsy72(S#igv(U3u#XQ!&TG8uBOE`9%g zAs62NFz)-*9Dsx$I{40QmAp6<95>33`KvBBc4-@2X2@O8)io?a6QsB~Yi4+uzsBN66W zLAoj668!V=uyGVLyVp4IBN=dD)&3)w8wI{Dm>Su}qypJt)ihvxEEL@mp^bi+2tr%8 z-y0Vv!y1yGw#gm~OuOnXEus4WR#S$%H_|hp$#H6ZcMTb0ek?G0%cg*B$3XAbjtCHW zme{;p6ANturRfSt0=&0Q6CCG3{SQM+(SllM9O3ec;h^L-*tT2@rRC$(G%P1b^D^*g!@)h<-PE z!GAas)}KmB?+8kUmcF@k`(H^AaWl5ac7+NjI0?m%oLu0gyX96SO*Foq>?Dj$RpaEl@}*Lw)udOwxk5ua2e?9U3ACu z^(Wh;N#6-S{C%|z*FJm}CBX>`7UwU@R3QES%sOZkhUmK^0u%pIfML37^HDhkhKMc| zv_^@r>@~(Et`Q63*GWnr6i{FN`W>ABb2hFYyLbHSWynYUrdmg2wni>IEOJfW9E=3t zrzY2W@)F?L13|jqBB)Qee23lo5)lT~4SslBNCb`9+nR*ND5#S(Y&>q40kw@#rJL z=Ay%~_MQKiubQ8KEcF`tK)^I_JiBrt{(ajFxzC(d4Fl)sg;=JLI6N<~Jn3F=+uWJy ziR(H~P;gTNQx5D(D{ZZD%f$7`Q@7IV@=z)i?GzafM&s6Ut&)v_F9+@#7;>z;M#7cl z&s)51sNek}y-n;&DxN=&@r@xw4@gnqX{HdY4 z5+Lz<|3qP|H*B3-xia?A7x|-g#`34x1sLd=Sat2m1Y~_M_xG4D^15;6Qe9&@9^V{> z`y5?qN$`BjOk|^+3WUUK!O>pHNY=wlNX}-}OGzwJR6r)0ykJ{I|5xeQU;|&iAcQ_|*QG z`DX_a*A4BLj5RlELSd5XlIIFBplDDoY)nYQIb7VC&Lt?Y0)|k?^Nb|3mPAKhd!HBM&de*@euO|t4<-Y zLLzK92QkjQ+?_-{Mo0iN2azDo^~*SaF)m`9ozlK6lkg-PV)(MQcX2r)n4YhtF11-O zWr6I3`rL4965QX>yIafO66Z3e$FDxM$*>}^sBz6G6;mAldrSuIL@7Y!u>%zXaXT-Cv_m^L=K#zmQ$@92EWfkSO?^U6G4xh*+p_90@H|D-YwR2 z__0qY71WdA`I>s=Rk~zIJ^8Eb>WeVoI=M@;x-bmNhkdK)rU?*oW~97t)a`$Mez#CB zkKaBLJnau+G5nVfw;X3%&K@Ph{5E7wAx$6oxu#_oEawe28#k=8w}O$Y^SdsE8DzpX z=f*)J|6Hg)`!>mF1obzG>@B9rmS-YY*BDhQ%MwP*6-OIL?Tn^8XS3V4di%@jbu&i)kQi99I(XJ(jn zxBzIi8U-Z@$@pqIDzIF>R~^CD{I?e-Qm!OJbx1K&V?7bJ+5Eb~q>k3BxYHJ=Su;S4 zGM=KDJr@8S+R3;J3 zD?5c3yHNex2!8CfNr8u~vpFY^WkWgh@GIkEBnaO_xOTui9^NuA-W<(K2a9)?Uz7He zfKP>MfQumkT0`u53!jsqs`jWxpCuK#vUGEeGO_?HUW2q55u}`ce)C7`u{=vR3a(_w zLl|vNTUTldOdFIp(VGxKGl7wEN{s}%Ja57|Z;>FWCFA=m#~6r7(Ho%jCczyG!f%e3 zWat%6ChrjshseZMa$i>ps9u?=?;LamajN-~SwsRcth^qk)tCUbB3)9U=>E`}qxwT( zdltO7;`2jslLS3)gjKzHl7VB}PL*kM2jH}-yL-pe1797^7!xHzoq<2>ptIVq7%&LB z{k7t|7i_mTAm8cpMJzu3n0~~N1lMUahd5&?z^Cz;IWsRC&QCUtS)lbuhxFHPT{{zj z&A(Qp=w&X14Y730S7$(R+v`QzgU55=WzBGA!xIe&;^_qXPlBzayv$bGBs#B4215#|&dozgs@rI1wF<$LGzH^}uVY1cYLlXsi3_ zpkOPy*YAEl_}~9DEmKc{Q`t}Vi%|2Sp_)Ut<n+ukRFjk-Hy&3rztAO8xyHGjRzgbk$!t6M5X(8bNo_?Zjkas8hk zR!AB+yckWKZlS_nVZB4m!4x=C9&{=-J_W*UruBFG#6UvGTPCG&5}coF=lve)2ggV5 zC-_%og4Fr7*m`b9BwqW3N(5&Zu7jZhaPy`i8P~g4lwFc~IhlAI47hZRK3B~|`NAU8 z6jO@F)upeQ+NmoUu-M&j)1}P|6z=PbMJ*BF67^!}_(U8Y=a|llTzbLsWM?KcKL1eT z5fFvv>+aqA`tzR$!T0Fb{rk;Q@$Z{JHCt>9jszdCGv&u$CE|I3sXGKHg*3qKFYy?RKW3zce5`m4=@kRDxEt*&n*Jihk{`>psU zQlZS;$#gj*9#V3@7J92?;~c>B2GiR(hJ@}nD96Z~F?;@Hq5XiLK}-L*DWJ7{K!Q4; zh&7z6Yb&;daIo6>T2Jjp9Pl}~-|Md;;~XBk{N~Zu-V|6h*~!}xFNK6=Wc|AMBOcN% zcs~@`1Ry-uj!AvrodjB)zrVCf*dk;m{om}lnYb=vyh{4_D>)@G85*KkKCXAVz;DT7 z?PpC%Ag_0p!6_ya6wZ%x_-dm2C6+<|eTQRV)4Ffj=!tp ztm&FK2QkiF=(&H{_i`#Ix30Ik)>-5H#kh!Z_E6!!bLu?>ARBvKP}0u>!SwvP;79LX zwtNUnogcP0NQW!qanEjtSm9j8^mrlFcqF|g80R;p`|BLnBt;mBQ1zhf>E6pZpkLi& zDh>wdKW_eGQcM8)QGb8tU^`75KIUyOHb z3UR(+zQMxL?Dv^3kqG7wus$qSufu#@OR~s^FHQMq|KPe)jB^%zefN^xXIBAS+ej9> zj`rIQt@+L*+Rc9t^%OOX#G+jM$iK;$sptJ&tfG8X&@{DLqyh z^_^xUclk%Y>A+MpG0FFn3@J^&)&o23ke=la!ZIl?AY&q?sihi?{G7YH8T2pOUFQu$8OPdE$2Sgd&?7*e2~prDw;mYk_h! z{>`YHlXWs|P%PgTI;4a0tjhUwEEIV4ZN;Po{pW2q>Gb{0DKLI{#(h&Y1oG^!cOU}< zkeK4%y;+wE$1?UbRLYWJZrxh44*L%NrC zkzoHlX1!-`gW&41B@)f!B#?6Eru)lv8MFj*D0$q*KsnOr=Dd|8%P7x`dQRH_kf=<#Bcvfgb{4Lx7*Jz@~{p9mpm_5_xi$Y z%0f$9OL;}rNf|+Iw2@K_p4slOsLc49>V=1#}Fsb_xA=w-S zI;C?n2`{sNAvZW-&L-CRU>8U_}%3o(TGzFeLd-_*t z)&OFJpS(GZ)I@ubAblfeT zIa`?uf{L#-%k*+V{rS6TZo^clbEdN;D(AvG1-^6rFO)&N%_-wnl__#{G^GEe?^Qfs zk2dO<*(pWi?>or5M04g434Yok?t6o>p?T_xj-_)dQs1|oy|FhQc*`f6C}z3P*cEr; zNqsteX6!ANa*G7pNYRNs#R*^}@1)a-_WdyZNPa`Z(LS03WgG#jCAB$l|AwKZ#NkBv zyjf&N8by8Bd!dPc>!?o2416nyA%km1K(rZ^0AD@wm-_ApLo8_`;Di<#c1}eP$R=Ds zR*32w?F>{XeR9#BbUhL|%$S_(aYzl-EWs=suco z_GekcsTe$8EfO_M_gzN&WC0Ii1JpwB@0(0(?LP6y4cX}+KB_G}}EJo$F#K84s zJ*Uy<@t}5hN63%*0z7~0-e-SXu0#7Q)+=7i)p2l|Vv-)-n+wc0=EZaF^CLIoA3Xgg z7zf&%`T@jU@$l*C?D*n%G}6D2r2pcx0m87S*!HL@8Mf^%{Bwvo66rtDZXZ^hgvYnP zrq^Mu08oy2=PLrJhB zHb?)_sux0}Q+$8;Lmaes-WblK#sO#BEjQnVT%hN5nP^Z6#q-a{$;)I7^);>+kv2}_ zWH^}U@;<;j7oF#MzF(m+5ttT}MMM2^;IE|X{@aUrIG+}oY)fZ1!+>Gz=-dFi39uIg zdc`Pa;JTqGwa zm**aqom@#4bE>&_ZwuZzuCl)pxoO3r-*+x z93>fLzLbcAy3t)5H4U-Qvq7dC+H`>xy#v(b20@%Vbw4BKpPwSY2aBel@^>ibTNI#0 zF&;{Lodg9~P~JAdGuz4>+!wVabKl$el>-&4P1IW!`M58#F+4+STbz&k0nA@n8Go>R zPoIbL4f74%19?tam*Nr3A7Jx!SRWRv*I~X+$R<{&-pMi$9AYPD+k8n1qNo&IgQtIXU;}3=73L7r`I2rBzPh*Vj_w5@eBSokQ4mS z{?gK+36_yGcsln)@L4(uJehsm%m${)2_i5LX^~Zj(qTs`hsTGQ zWU$FUTvo!D44Ym4ReGbL;Mkk|^XlnPa6cN>Dvj>vwsY20)DpPwHz_9Rn=g#?QJ zxtHZv)8S3Z!+-jxP(P7!D6(DG7|A-bTio`6Cp@yw_)OjriV&q$drnwo!oFps@=sna zI1hemRdt{OTd;*t(Z?K+V;Jb{hnhL$@fM9e0RMx)pRBgy!vda9ir@xp1)b}GL<1_?F^!uYTMN0%WIRWkE^CTz=+UEBY z^_x>>qTW?#zfp?VHzm8B3STBSUm4M5LD%J!r<>^f-oK80O0yg>V8)RCyfri)G!D8< z2UMm23)8VD^k`ktS2)~B9-Z$D_w;ygiq7M>udcpdejN=L+M73zswctu+sgq;WHJQi z2=;WUgu!{G=aP}vQy|dN-(vquXV}-xr>MS18R4^^2)K{Vod#t{3Gxw>;U;ICL#l2z zTuLF5v;@iUv4?Qe=w~vN9>{$?4Nfr0|J#Mm(FI?#&9e?f2ib$cRSzZ6-_h_JF+5+m z;R;NyG~4Gq{gHiLwdPmQed~sPa{C}F1qK9IB(I2OgWZK6ZLOVga3e2;&8#W`e(Ll* zDnREbUbR1K7r2xGtP$!YxioLs=DC;pH6R&8r&R?KmniTq(@o&TeG)u7yY|wPGYW1o z?zwc|J`Fk)&CT+2QlYWtNJ%{<8~y#BP&)j}0W|M(A*Q>d@%6p8?^#83KB>Tg&1ZDZ z7g@A=E7^#0fabrSC(C02>cn7Vf2fRCbs+&*%tG>+Q_wk#|Kjs>+`gUJ)@P7>I-8@` za_F4pm-$C8rSrjX&X=|vt%Ec%m~XscMdwGJ$uTljDnUWV4goja(}-f^F5`t2Pds0d ztxp_VzM=U02Jdqwzn!GOe$P#!hFdo5E&S~u-V}$hmkt#^>m)+&m%n^gXLCT@gsF4> zaypC(jWxe~8Hdi(^&BfDB*MTTi})Gid|W?b9O2G9WPyFyMP56XLYR79+Wz})ED$*# z3_NR2hj<#to|{@!=Q zR@IDwdnSm_j;=9nb46MoofcT$9*pZ?d5u25y)gyXJKM5OrajJ?cpTIheXprx$%K0@ zSt(aJO7XZlf4In&{SgtUho8KYedPwd8Gmlo1;#_IPEp_Z&p15JF`eZK3Tfz$&IFIz zkdL%aqVRm}H4I96?-v4M!}%f7m(V`(f8RIC&9_NkBm%^wkXe?z|H}(3PXe00`*X?r z;JR)a(lN?6ln-lkk#W+y^Kg9%=sof87F`B7C)mY{e~N=~zo|dP(*;oQH6#6Xc`U@5 z1$H!?On}>N=11jJsCfQ7k1QcsHG!z6Qgo%993ACPz#dn{J z#_8Jg=se5LPMN{;1aQv&qZ0Wl8|MI~H<;cooVps9T}g$$P8Ku$t~mI!qlob>+DC8Q z&UE7R>;>epa82j){AAF&zNchiPXZj+sFHbfAqOJ(Mo9xteDM6sb`W?_Ag)$*Ys#h3c0a6W2^ETEELaoO#c?5a&}%0o@7V;#jyD_O*D>A{>a- z5iB1q$+&K8+8%c9{}cwzRkSj+3IwS0sG29_k@5P<%!5mV$51_@b&=k`b3zIkYQ55O z8ug=bTV9Z-6oj}mTda8QOoTJMaZTcJj)*M(v6t!psJJd;yy9cKGcJ523Ep;{;=rBkD>r)w_7W1|^e=#m%oIPJ1aB${W0bJA>_-NkkjbM7N z<-Yx{BYi$J=1PSeUQ2@$3#Wjs)ClJ?rpG*L(q&zwK%C#0?ynVWxo$cVVYFIpPoZ=U z2!wk_yps!sbB^Slhu$Z^BirA#ngxL{DJy$zceOCi9kU5<5~DiGRs9|z{mudyyZNv! znkxplXi^r!(K#jQaJFU3J=A)%JY-4>s$G_FFLoQiQ#>I4(ueH- zW1bAz7sD}Wv3Y8CK4gj==Mmw}gxFS9rH|$X5L$jS^Z+*rgapg`s=vm=#q^G@bBbu+ zGQnh#PIB$VC|8hLro#+FsDX-bDZABpu*_f|o_vQe<*xqre?L{Et zSHYK#>cWLP2WlUi7C_X4`2Kk9JmBaL+2@v90JC{dc{+>ofo6aq%$c1LCFZY*^+2<;n6vOYCcx3&N^ zWg9x5C(Sx5G*5=v0S51&^I33Xc1TmTEF0{PSRcEJKL2RnRz?cie;kk4J?&AO1Vdhm z_ex4KATN3`qZjqfEfWcEchFPeDeHt|ZYu?7*CS|7t)TNN*6+LwYg1vO&TTVL71ezo zO&iP5D0rgabc2YVo9O!2@>)&P`OfdHyW` zY0IxK)F!E5cJT-0$nFfd*~^e!dfo%NRA#xvdTsDEre4&0?!FlWNY_fpSw@4PDhE$2 zlRZRo3O-?G4M)sQy?x z-fA!(>?0Se+H%Nnt4mM16mf>q8E%uQn@Mn-m6sg#nF!S&q zdm~ZbEUD7ZO zJU`-61STsdWB9qKkTmnR=YT;G(9}I_3FT1%^@_Sjd(LSiKC<2q1~lFAe4Wp$=ncz@ z!r%9DPaJtQGZShB`*K%0HZy7wUu8cPy-PQfx` zXgDq&LfNZm-O#@3s*~YpnqMKVAF+q$qK^sXgH>K_)efa%pn9^4zDMV7x>iF@>!Nky zhn(S@?uJ?LfJ0wuu{slqqtDu&Wln{x@Zeoy{;}YesdmMih6=HYI(l|m{qjNC-=^giJ-YH+996SzU-$3rTW)7SP_|U@= zbq$Xz(Sd1+kTsNXv|50Xb;O`61` z^_2hewNT&4=(|k}NCAGY^q%uuaA>`yw*}3W$;`&s5!BRx!Svp+nx>Dn5ACK-QY!w>nO5hI&9Wdn}K)NH9 z^WDv4=+ADI{*{rB=TAF*)%Tp)5ZE62!C4q$qN>FuDOYU+!yJSdQE*q?oX0KARUPh*KxIL~jT zT4`c~9H?n+VM$B@JFSM2#AfvTl0+*{6R`lUEE*-=$O^;r@2TLFc2!*p)CTy@O&m{! z{T_M*o8yJx_Aq{|AKf>rwtpSEc_UpRCpu3U^Ss6kBtABVvLWD z0<|WULaJ{R!pXq@yOsmp4;I^NO`P#VVEe%5&n8*8E@Qk(5npkinoI=cZp!X^FVS;~ zY9S-H(0!7xyvXv-)I1P8Xd-CInF|Y*Y-f%I#)5Dro3xTb8qVvv-YqJp6&W<^OvWcw ziLf)Zn)e|(w}tV^{JvUn|H%|Yobb{4!u2$md%Ci&VwwyK79Hk)$OK%6F&<+6Aekxb z;0Ub&&OwZGUFK}>GoGh{_@d_%kwQ5lqhm|J>#J z>s}1X9=FpUp>w`sul9<4)m26?E@OI36?!yz-P8}~H>UeKO3bB$=((>FAHu&&s6M4C zEU>-uh=CDL{Vnc!w9e}9zfHjboyS$38{lCU!?|;B=4W-;J_2;xB_}w#l)(I|L&|~? zx_>iRz(@#p-pKulu+Bp>H0YmpkiVb-n&`JnS?R zJQH3N4d+j@tF4!!epPsnXaD&WkPsH*Gm%dLrRswv;?8J2{Aof*^h^Tmf5LmH(<=rX z%PYC`WnT&QmeB11&8&R}r5{QUI$EkP}~T5g~=N~SD-*;;c(d}}`#vNzHvr&$accI#9JI%TO`T4P%7o{S7BH(@Hv$_o1V92X= zvyw*VU5}W#1RdjZK>n)Jtpt$SK*m?`l2cp&@T#2z0M>! zeZt`--!gjscwpTBmT3kY;g@bv2_=Kl?%rXx>*;`2r2>n~V_-+7#!sqr0wSXC<6{3Y z1tR_HF42#mb^ED{+2?yAziq&hH4zeP;td8{Zk~eoLg3lH zAd2{jSU44Y@$!)i(ZD233TrzY0&SgpJLzs}fXw!X!+jbyFdk{@N?7)T^Sf@x4_F(6 zX4}J_K*R^WE3fu5M;aqZX*vTfD~`y5DaRb!<d2-L2~S0&e)U>k0RHIT_bb%Zkyk@3nF_@r z(0a;{VbjMS_FiG^jvDkw*3BHM#6w+>{8bsN1uizE*G=c>zZ4_r(9mMzLg$xXnwXh- zp!I4GSI6~`N@+0mbE41v>I&KKu6D>+_#pl7+ON;tb->r`*g%$^tBQ!<%T9xFXx90q&; z^%e>S4LrWUoRjFD?*k^1`#)=ohvNFNz4^yMYxJDT*vhA4oHu=-fJ;ccPcQ;l51u~v zN;VOG9%frJiU`lR#|4!G@VJUK=Z*VyOdPpzh}5y8-xXO5$Q={@6auL&uYVUT_~LPn>8#Q6>~vOg z8f0y(Bu;z#;rVJsXdvcYiUjA`Fq^Ase)#tlkaJesH+m6qNDul)RwLkff#r!Q>#``N zULC=7{p_`N7u~OR=sfLrDULR@KmVUT)ws8oU&{1At}!=fgkC%e(=`^%j4TAGK2#G` zR|meV6uz7c`XVzC+$Hn={6e=^X_ZrXnbH^vp;x z@8uie7iHi|<>&-$dmKDVxPM-8C?MFwYa?;LmKj9zA5SopO@$WO16?nNq5$Jl&q9E%@v&2gI_sUh zi_Jku$0RQyT)-DF-LQS{P?!Jn3iusyHdG4?29<(`)s|9^ zEyC%^_;si<0u&c*SbGxOkWWnVXmTY%lT97Rt~-HnP;kshYlasgnjP`%46{TqUZ1>_ zt2*JU1rv6zpUa9O!K#l#{Nu5!IG;if?1;VLnu1t$2ILDYMna1I_`fH#9z0ukihG1OA^w=`P{)$?n3xe?*(|yDKscEW2 z3|LhYQY+E9IisVYWQMS4U{`#|HSzv3990pz_fW+gc|>V;=`!4pb0_kv8u!2udQMPg zh<9rf?KkMq7LARCgR1`aaFKmzeTZ3s^JgY{&h$TD-*0a zaSMf+%jgsT&ky|PuRea8Y|dei!1;#x2433A_@j#v2<8v4^Y_>}Eo`0_oBP1}1K2(i z(;F67-;tZr*TJJ(emt+B9JJ^pz13<9!Jzr9n%+t&oCp?YXT6W!qY&>h!ivs)9n&Z@ zQ&gZrZE&s8?}kkDe7^{rZFDZEas=MI{yq~dlzC{}(eqWz&%yEndVb{B!PUJh44EKc zRrzo)TK8WGs^z3TNQDoH9-b}Fli-hGXF&`#1%6N(Pj{kq4^suz!n0>W{^#fWgs!=r zu*d_1ZD3@4cP{V_A6m1!h1T1CH0(0;ltdmVq?7R+O;x>zPiX%3FtwHNab#F_vAfn{(=Be2{SZ7q&PBTw}2pcLfAMG1U{|Vu& zc%BDo5<8y%{u&EHh5ZJP_bfa7iNL2 z!{N;hZwkEaImucWd=1{K?v+*)sQ~s~wqQ}wBG70<3=3Uop%9 zhs7$rw_h{R`l~1VxtT&RU)MSnB3TM<)o=gBbd*86)M7~MSRQPb@?Cw*Lk5#=v(J;! zbC3d=Pn9p-M&pCkAxe8a3&ITV>CIW9|KH*R+wCg~;MC~ozeMzWa@ofVq7*_FEbXt0 z-7i=S5Q9WJFD5}1zTS}wh4;ux< z-_3k8=7|SUdbeLc7JZTapz?=W=)E0*BIJ(Sxg`+(qLkL*cNutFoj#v9OM%BF9$_!9 zqjRg{KVn9dDj}-rgu_|%K93%UWS$SQNwDrAuk#9>&lIjqv`?oggApy&zcO|uVBJR@ zw8+W?369+~`s2A!_SqohO<+FoGX`+Qrd7b@`duL!cVpn8z>9Yqi|8Emf9ve~^CzM` z(7H^3P+p{JbIbqf-Oa6(j;0gW z@Hn`$_iKsBjZ$#t3LA;#ti$7KkUYpzI8X$=WKZ z9MjqHofn4}PZk2bZTrn%Cg{2J|MFFj7-U#~J{ThWO+L?!{onV^YX0tUyf7W~a`Yz8 zkTdYS!15#_^QbxZdMw_Dk-XzfvghZDzD_?jsq`pDW_0s0OpaaNyZFv5)Be3$+TQ%m>6O zsH*x?c>j|q();riyJbH*FBNILv!&h}dX(KV#f72}W7`V@PC>3fy0ozWz1nrycJ^4p>2G@V(T3=1=pqu-n(!!Hm82rkt;Mhfl&l3;CoRqHtGI#lUKA#7k zf1MILUSFq>fd1T@dJd&jSQh_#ksMM1?_vmQABGEHCg|zNYpFsoF4@<6aI6~VQ}dKZ za@hxTuGfR_*T51P1~1*-9=oR)*NqLu7cn&Ge4&6$skoI1dLPxcH-re^0({Or^kCo` z{f=CKJhRHhD{{zOFR|#AZyp3V>t$a+=h9AVWnI69>is?4bY6acAz(fHjWTUohU+rM ztK;nRce4!hKs1>l;~R@MC|+y-YH5YmN%w9{IA|1u@Zr8frYq&pR(H@K|DzV4~O`K0cz6k|0Ii#UJKa(741VNAVwmpLg) zg^hdPnTU2IT!%3pV*cRVF}}1TfBA3@Vw~$ZN1=^-oD0nhN+r|IQaFDxE@GUOVbJ`s z|423D=FJJ!f4+iXdY)qO&a6?r0z7Hxvcn?L^QrfwPXCjO!nus;u~ldQ<4>JboZp!4 zhn$#G{+*r;9@~QH_k1k_lEWVte~w^CKI-YN7MKMdd)4*tq2KLV<_dFDsW{G^O95Ag zyAH;{0$`f!S*p4_+9zQ+q76u~S^IN+2!;ro`bv|w<3c&y9yPgxv zC9t;6$0vZ!likl{WuFu-h0t~Nft`-IzdasBwr5wP`ay+OiIF%_s={)x}6a)3D6{hRhM5k8fc=_`H71l{T; zH4DWY$gXZxdiXIKd`H3rJ9Zt0Sc&F4htK7L{F2JP;DS=+XA#zV}}d(^g?p6<$oqqg+N(it=0 zg6Ev4wq8CwTM}ybv(172C3C9C5z_xd+IPq07`E@DAu79}NhOkqh6Z&i?I`U*JMF#q z-cNfE8j`d$i1uA76zx(e6q+hC8uYu~&(D3o|9{`VuKylAp6fi0^SZ9{I1Y$d<`&vo zGKULVHLe}|(L46PHC4Gw-vHg~7AGzp3kyg6A$I(PIv91ir{UQ2y zFU=j`FH@2CnhpZ{A12|Q%!$N0bFfi%t`_x+8r}o5gGSi-SC?uS6AX#|&Z1PX$fn#J z6W&+3urn?emgCZG#Mj<^J3DW`W9Zb$PVag4pul}Wk4u6?iEIUxlm3;S~H+Y{mBRYzKJr$i_b zo}?H(c$dJBg!{n?d!n-7w7^g<<GB7niogWIPQ%2qyhbJKYT<;dC`xaOiv5yJT zWy9zv?mUC*X)skok-4Wm4uby-7N=OJLEhGnhhxIgkX%`Hjnh6C&L8;W^v6UCT$pZI zNnB4L-YtILxI6vyNj!mfoquM1%2IQQeP9fNGAU%YLB-vu?8|%!v9HRaL%vF~A|2{e zji2Pz!O+5xKDJ9I2C5AzUq?j85c?d*S%;q~a@9c@Af)!0KSw>3s8^PXbZ)-^P5i#j$_wvyBA*|fpl1DjRnbIU;B|6Y?#N6Fdk`^SStZC zXKk*?4cHHTjI2f9Yi-O~)aK+}$nsH$4HP_!2|njG_UTB2<5ZuX&PZFrF8PMj3Fnbc z_Eo2$#3Nhi>9OWY87u^W1G$*{LvQThw#Tt12W}DjyLsmiQ3bAB@TcyT{P^z_u&-SI zl#!oB@BofCINsh|{Zga5FBzPNTd3Y4{fqs{)a*guZ17asa3^QA0=q898)@jgr2~KC zQ|=%?8wFkExx(8}^T{#2?TQsqe?uiYeu;ZfeRQ2xqNT5P`@ST zXG-fV)er|aKw{PDX58u?ZYh4cyFT0(!3#-V`VCkvh3 zZsExu*tq@Vz4Gx`h|#&`F3XY#v;Cf*_4wlm9LD(&?+@-6^O+xV5CxnEah{89lB*SW zP6MkkrQ(TgmjUNroELGPEitTr)LC&C!rn=BL=OmHIGzVuv9BG=%!kpp*d;P%^p5<4 z)q9pHh~Q-$k1tT3DptA}P4G94`&C`fyv05xgB44bR{hR=Xg&RV*sa|ezNFaxH1|&i zwL>yds{M}CodxS4euNJM^E_N ziwMB*z5w?n#{KJXpA%dUi|Z!v`8xa^7Qe5<`??{%IJc6TB+%$C5>8Y`bFR+IzplLv zgp&d8{fCs14)4g$cG`HPkFaZ;u0=ZZ(x3gdOzZKG=QF7B+7tOfGOYFQxEu?f4mqx? z^Cak_Iw&DJ6a_4kzGR=KB4LiM;vt$fRn~KhIwB+P=u#>51@Jb0xhe%Wz-k2?eViN#+uGBT$e)i zdc+O8_JZAXTrLGRdj$bv`e)s$Yo$T#`l`j_AS#7S{Yz}JPC7hKQhVu1XmRiZK0m|EG`J6f8yfKN+g1SDciX!whW*h z5LjNXLq3QLiB^x1ucfi%(si@a2>A8jxx+*h`ke=aPT13AL4`h7k9lhncpOL^Uqt`z zBP-hWH$P)w$vH-xT00I7T}{4mWgrx6X3C=8AwM5-*r>TNodVKP_D0{YqVrkj2cGi$ z1Zc5(#^}5g`RbHvlZvv#A%-z4OCmBFQZ3faNT*5Q_Iu@@Y{{|2yv!>g4*o|T-Olp z%id+GjEevVzM<+9$iMj9;f`wu471^_Z)4IL`aL`v_Z2p__=86L_mi{8FT1t-fx;b& zbZ~atZFWK+1s3weTuvbp@<`xC=(@j#&U5%tcZT(=wT2bL7W`)n-hH{%*Q#KzzEy3cC`j7JDQ#6khDZGw~n{xz?cq0lOxMTu#LU* z)_zVNWSB?}srx*LdQIWul5RTWL4046Bf1j|Td80oFygiAbUI{dXs{0*^TkATX1CWN zT&37q$NbDW9pu}G6sk#aAjALQ)S2HAFmPODV!;aeb8n{?+bMjTz>hvmcghO+tx!dZ zsJtG{1K(a9GG1eUxW8u#6D36fsj)`+Vl3*bttpER+(GXG{a1RMcg4d-irnpoPN8sS z$hFtDApt6c$3rN020@9yMDQb?G~ftnK3Dja7t7TCnG#TQ9SkKSGiDNXEc99 znGizka~x;C4_)wE7Ec0dFJlfmq_4s2b$LVedHSFunrn&QS(y0W-#5VVy~_9k(&}0@pDNkZ_BDFU zcmbWKt9qAa-XR|c?>N~*W1(;_?81(tsLwh6^1&aeqDZ2CT5tLI)yzA9`i(H|!|0xn z^+>0p{q@`MYy9uxw%~L!JG5V!RbluQZ*IJnxF_&&{#y5HyD8r%KO; z=ApStbHAtTdtI^E+-e~$t`uT_Khf;fm*0i_yu&XmFe1OwlnDVk7UZ*w^8k)FINna! zyjeN!76*CMdoH>nU#T4N95+669?ZO8{m7?K8!ox5Iel1)2gmJt`D&R_;1K$D@JS7N zNBYGS(NbqZ)ZYmElW+qP$^i&b-P|ArfyvQ5oVQAlp13OStvT`sOD+>elfg-l{LH<@ zWm_J>PaogY*94}7Lx(Vzaj`%IPSS2$^Kn2fHGWDuQxJ0<3mHm`KscEDoQikQ221WD6Wy?kfj2YsRnIGqV;?e4 z(ukC%6S$1?)pp5=Z@**{K+3y5zYx%SG`o+@e|(|^NWTK71C!y2lm?S3^665S{CcwxWlWto(YxC}zFrO_O4U6 zE&qrPBKRA}{m(-8yzWcJLajik3|Ax4f6LYuM~66qjFn1aM>3k1a$68D8}^4+zK7q+ z?LJNLPPXG+lb#`WU~ALQ?wPv@ zJWvi$U^wtQhvZ+PEu?4X!0jkgzu_XW5gGVYs) z`>WtOTwJe#&-LN+b@)9Y-cREHE;Y4e?5ztq5ZPtE+q)wgIJfSLivK}Ahr8&wb&*~n zXlF&~VpJl$Iv~`@tBmwupR}LLp?!XhUjBe>L=w_SKYxDuf?!V;@|l{= zw*P*;CkbRlH;P9QK7Tu9G}^1Jj!{Gf{n2Z81>fANc_~MK%)`(&NtrPd+_xKuB{AKG zY5Qy2%B2r5-a5 zz}U4#NRvM3z39y4b=~exrNvC_b&bwKn;1a>GYSohlbjAHR98t~L)uG!FR9 zp?NWUm303xpju&xQ*23)HB3g-^mn5``YT1#0}D=47g%0HASbM4T+sWX9lk!UrphAwuZ;h`%`z5^ikFruwkay z{1ur1n!*8&lfy`78PB&j0_k1eF0wS_yh(x1V_V-Wl*3^~wck3pD;|avgSr_L(;!MS zXyA1x$}31`$h|z50N39i^f}h+1V%5s)o8bIVM@>6i>?aB!seV!h+cdgnD48%8B5H9 zh&^k&jrmjI(vHAE@!j#jojRys`O*q*?x|;z=yWC4k&{=HhaWnDB2$ZlHU}OCOmS6p>$!8q+r(?Ho9I@yqD6A<_fCZ;9bWzVJ=e zvS&Swa)E;GQJy0DJs3E+$Q^pU;gVk-jn>OV$YNE@752=8$IOa9H6+szE_l!RZHok1 z$%JF_mPt@~G9=m(=?3n*SRA)1xCQct$71OnoFN(bL?xbu6YJnN@=!yMWMDqX_#%9- z3l<|`ef@FJfAzC&&o-W%dF_eu&xKLEU5Ns!*0CE)lcB`^{PowYH+TFxh#lA;aPD3b zY+C=M*Xcv|x67FibVV~j(c@Cq=A%4FPucF;Of3x&@mUX^h8>1j@jJ}u#(V78Cy$ZE=Xw!k^*gh;}cOryj-#+!XG#sunuCFd2zgjK^wfr2Uzm8gp zaf&^ReEu}46gf_tV=fU z0H>O|p>0P<5VYddJ-rk8vj3}}xulR+Ye-l4$~)8cx^N`QX?Wjs&ov)J$Y_~mHTkjl z1KKLCyAt6bDLu5!-y62EYvn!f_rZ!vo;b?%Xv0v?z0aI~Z^L4T*!e@fzSsz@)SMxj z`@r|Ne6l^(n2hvat!+W#xg=#IcZ{GP%yG# zbqu}JoEIq%>fVcGePx*+MEB}eIVy_FX(ZU|Tt9L+BL^PKGN~W3bRp_bUhJXhWvLht zOTYRmtQdW-)5%+!F}c8KuTp$17QI87IEh)HTq3@ND9Hi60)n3wSC3q0I~fJlESmAh zvcg~sqkL#?mPX*l$79~N1d)#>m2|IrU|1wD4ZHA=Bi}8YhZ_Z)-sv$R|K{fI#CO(W z7>`t2vW!R^NM#%}KQw7cs_7m`zNsLMc~1D{9t6bIgm0RHiv{@=Tk3BINZeOD4g zod&m;%FK%$zh!QTjhV@V+hTNCs~li0Mb#*|r6MN7ZA!5Z`kI@1zThJkmK61O+M`oSS9& zaN7cFTI&h{rLzOS?>eA+7LU*AdnvPtzUWNE%s$#abPp<1($&YDPxM7LPgzYHQgVoX z0Pn9HTb)mw+sr5U4euNHH)*MaQi3tOFTiue@Vp7!ml*f2!+lP0eHgBrz~@cycUb)V ziuZLV{kzYJ%SAwg$Fia*nv458a?UZ_Aqb1UO97_G>?X(ytamw%abH@kJS0%w>k+PtXq-qLV6~ihWN$RSQ6OS z?R?O8J^^;FkL5f`C4tQFgp_vy(pTS<=r>~s!Q_@1Zc%P0!N?x>yH&giV72qZXQdd# z@7ixdlq90zuIl#AHa8L&yvP?dNRNXUXY~>3185%m-+F;GY#}7%h~ewrG(jneo-o+KRwK9<^*t&B6n~6-;Kz&&!`N$gQ0I*L?$2-u_TE_8QOoEC z$rF7ucRr%u;dL;J&J|Z+dMWryWZn%{>jOvUspLS!-BXL{t3AYVPPsfTb%9b<%ZI#O z_K=o0W|BL}g{?2vTQ-=5z)LHM$hH$kuK28SJ<;XTpHuH z>SV7wW{A~ZnEkW=t3LdAIeJ-L0OhI3|5eL<$NI}mpzp8T3N;%a>N+VALX#|bOXa}4vt2Y$fsrhX07OD zPspmcVN6$Vj!g=$O79jwORT9H7C+nn7{iqRvFQ;JH|+lXueoxPfyDit!I9C2^mGAO z^w#e4S1-6h$fxG?fCw96e>x9-aXYFJfE~Uts^|X71NJ$44vwL7+s_?V>g3wCkgkzZ zSwo0)e^_oE5%GsjgLVRCCSA&9=H$A}R+^&q# zYBX0Yvs;umEeKQ6Tl+0XVFaB|3fXI?Bcb`Z&)RWQU-%}6oexVhfi$w5ZMDB$VK(Gz z#ouPci~sPWexP&TwZ3S$96PQY9TEAJl6Z;&;**xES8s+sd(0cc5>`f1J5B;xRMg4ex z`69m=`NuS>s>gIN{P#UmdY7ejw=^8yrLf*J8BEj#UMEijLJkEio*{IhPz4*9bG zq^hTx%)Bt(eNPYQ@39A?m{06B?_DtW+2M&OOLqd7alV>UF0AM85rMIebm|vP9`I!_ z;u-0@IPymhI}rIf5<2q)hTPnc|FXB-8J%QpI1Y~XHsgM?SG zAGpXX+Ya)%68yBZK(*Woq zdLJd^4b03cxgjDJ&~yjX6m$>51AiUUyhE%6?>tdmSsk+T0r}X%vSOV`m<>JEZlLQ0 z3^%TBu&g_Rc+kMPd|vdP`L8cJy1jge^-LfPRNT}L@J2am|N5e-qb+y3ccHw2fBgX7 zU;Q$BKe%xky<7d`H@t5sF=u^DZRw5SeF2{ThUbLfe$u$_Ans3t>zHvpEIt>Bzn|mx ztav|;|8C{OH9_dn093qQFpQ;Fa60`ZE5m~BqJ@LYOnr{L;!}p_%sv zvRkeaz5+gQnJI~%H`NEcJ*hS}sNI2)$?2z#qC5O>YyabY`6h^y(R#jiFoQ6ySA9)4 zoIuc2sYU#<_W%6(j&Fr>9VWcNyspc(>6RyWljZjxW%dJ$q04VHtL3rw{il;|glYr5 zOI@ulvnA%b>~Kg5^`mx2sBK;1!eK0WQ=P6V7}UPFzm)>yN2%)^Vfi`)7Qgz+s(7Lt zR*o6uT!Z}66JFds5*rC=s-Iq6z2S&GZ~7fZV-pT9c+{QBQBGcW$Es+GcogjKjHW5n zjs%zBjWmv>aNwjb>GErc1n2jBH}(#@6D#E>8#CmRf#Iubo`GFQkt?JYoN1)63!OLRk64)bK%UC$-;t<(4Ba&)T#JPv-zMVXB?~X$qpY?`7C`>= zgYq2NtsaoTT=%d<4*7dCdewKY*+7JpPT%-*UoZYv)wUxZpxY6=GI0*! zP+j+%2Pb?%RxG+WebFDRL=xP7zjFZ-0}8cxEgvv$?g(4V4+PzXchpiyuX;vmpKJos z9hSy7H%NW7fhRrTGM>nX0_psZ7v6IR-j8F&%8@=$XGE#Xfbtm+uPZ3=Q2BswP{s#) zE-ScZ&Uq@T)&=y1%wb>euU8hlu24-|^>$QC0q#Vc=5G$ zGR}{WHm}P<;hj*`bZtv$(#&RzE|P<@)+LVTxsXo{YYoX#!3i!k@Upo{1;E!&b}IX= zLVzZ#n}vzf5k@}#h`&4G1Qg4OF^75@bdhbJZaBp-^QbPSXX&-l8 zy0IS=Z73^#74d=u#l^UmO=IAFd?`*I`Aqj4O71V9cLiA$tw%EIL6Bu}-l*j6dHAT= zzkJL7Cb3?1Hy*j2F8lYb9|E{gMY<(L;p+U(updG{poywm z)fzH+(hSdq_(7aS-N6KLRg}9>?oOQ+2x~`&v%6;uFv`DdA<+_ggfGDJsz(Q}zYHeM zv21p-EFY}VdEwtah%`L#lCCunTH}xHh_H?#_7%BQeAlP%9mGs;lVi;cN?8w{_XD*<~Ln$p#SH=fGqC-U0aB9u9SL!?!|B(!0`sh z+uMw0tMm^;z@mZg*p#dtn5HMDIBfHW^A9Gc?#IYt?#`Nmj&rWit*^3lh1ms+$rbzO zS;9cQa(eY~i78Qkn!Xy(RVtmq;`JYB=U z9O4fo@&TGI_C%?@b%VEAM>y{moW&Z~pQe3zX#v~*b`HvE+{C=!xY>2_yTbA2yGO$( zu45Y_SD^cBAc4y`U-@Nvl`Z)@17}c6O&EhQ#C7^ql65$OH?`N&j0C!uZeX|AUWxQi z5;EKoxz=#?m{v!0r5nN5O3ygBjg`G1vBjp$=8r4V+k7xrmI@;H=|jfUyi1?GsJG=FwpJjp|^QdIWIQ?_RA}h(NhHFSoq+F!)Uf zb~7QpxGGnc^hGBpDBUVxh}^V?qNEo#foNWP>EX?ynH$Fc^XJE(OS5Rd5&^;^lObQk z!r)`vRizB0D6l`$d$9M6HulnsMumpc3|L;-RoUHl!~E%3XsU0=L3*=z? zG~a~NlYmOXaz0u!1#0`-Bt_See)yb(yU7QnTk|q=`n{P1Ti5Phu}1Gl<>cm(QCh*o z`j(&fn95gU3|~iWS&t_71%k$c0aa@zaHHxcyA( zc#pm(h^RPAhYm`@nsBg4kyt1w9$HDNq>qQhM%f)N(nG-YuW`xrg-{?L){WXj?Fv;~ zt=%Iv;V`c1s`B$iG|>2+YLP^F_TknE0ZSTgAa;WXR;?qzdU0=OtR?afu6C<9@?_3Vrb z0g*emUv5WpYjj6?F1w$Igz-D$@9wBXK(adjz9a@W(7NgA{cc|%M7`RP(1h}h$@|}m zaxyprO;7Smtt-KB7`f|wjL`wl6W zJb(R2Cz}hVr$;-rf15WrdOgozZHiV-`S%72#Zj&tzdqOH?8Q*{V@liP!(#@YGm`U+ z4~4*s(puWGwm=B>V^x$!{ya00X3x6PE`aEL`*Z_-M`DfrwIe<7bsz*zx1`RzbjIAa zPB+fcdlCJea^asVOaoq+#yuSldp$q6w^A%JdfDT@`|}QW_3l<{EN#+@^`>qkW)t9(O86cvF3zOo)crXB`1 z6hHLeAiZdC9|y%2PeHt^oPWsmUK2d zBEf5YOzYKufj z;C%HrrOVS4VqYEpLtTFjy$g7deLWV+t`2-8S>~H4*MldvmGZo%AFC33P7}vj{yoP`ETH?!m`+}qg1m^SHVp#Mfe&2`eFEVC&9D&C8&tj)UC{Y)9oeWGI z?B=UBCH%Ka-HIoy6B8h$T1aH*nARROK%f9r=Qq1r;u)B)Be`&h~AeBikJA^B%0&oz4C&5e^sIWQky zQptzk{*e1+%0oBR3+ng9TbtXvW8{Zc9nZ;~$N1V5!WFO>7{4Sco<8e>P5q7fa_Vge zvA?6+YR6(eMMIB2eQJP$8@v|Wad8E`Pvbm*;|-3tW@RoTf+)}MaT9sHE~7hWpA^fp z4T*$|jIB}1c_ZwqN4YHfL;z%{4izkv`N2@oCgnBfMEKIM8`E z;sUM0N8}6UXMD*5=}rn$^`eaOfdpUcTgRsP zp*hjS%j^$JIYZ#7&7+H9x1tGt@?H?4=1mB}nx7>cB=bf09z}1wD9r=l)5=?`PhMUG z4&!`?_Xm9wU;U&_H3=TXc`iSmsz&BL%DtGj+A+^zN$@Yui#X4=1;2OLiRL$w-;*(@ zX}DlGo>P8j&aOf8*uOO&@2_GC1?dr+aWi)f4CiGWk7t{-88ijV2>!-#e~on}<;PCs zQ=0HC?7Dga#B#^gyPo!hF`ivfFI4@Yq~^=*xAhj_uBs+-N`Z^u9nBdBg(P8gU*$47 z-JXf`8J~=)`Z>`%VE096Fi08xN zIbwL;1nx_W``6(M)14)aX}w4Jd}_OAMo~W0>wS~PQx(y0;Oj;O!(F7yp!2WG zl!}8F=PD`9A1AbefivW%C~u(q`+sYB&iv}ZL{$u5s~*$s zRT)KoVye+I=_U~{r8+Iyo*D?oU;0iR+zf|+TRne`SR!DLjZVYI$6jFBa;#m5To`+n z@%}IOs|ZLk@Zl-nOaK-)cm1dBQShdKTSL(#3Kka^!k=Y&gENf-bB-Me{1G7SlM&rM83~QaGNY8pKgc~;P>|(T6d3M!TWEYB z7S^LPSt-$+^-TYPtliEi-;DotSa75lwP62F`&~Y^WsgcJCLfR{}!P8{Ui@_9dnc`KevO| z@GH`{n8f9hNv4{i`A4A0Qu8C$Cv=+eZ@MC(wf49^Slq6( z>`Bo6qk(EDcjtA{JH>sz#QvnIdnfK5E{`=dCtn$yhyd2%bBVK7DPTOxRur*=1gm45 zqL+})NUrZV=ktLbupFiTZsp|(V64i}>nGhL>Q(%y;p3V~C*u2lD$+auB|R2=sEnID z_n`U1(;tc+zw^Q9#yGcloFm|U((|)AX^AjXyWm-48U}0jTeUnDK@cf$sa2;S2z(2g zg86wnM^mM6Yym%T3(m7TZJmMChG;z$5&m<98w#oZ_R<^*bxx4iC z$2bu_oB77_3!Oish`EplDb7AJ?uo=c$h^Hrp7|!qMblE@sSC{__SIUBk}1oB2sp3( zH&S7bIm8FLCkhP)f@aj@z2V3pVxQwUD^bsMO#;m!QMw=fyqM-j)GMz5ziLPb^3zJ) z)XqSBi~qjI-;&91tMh^j;?mDtkpCTC7kHhB6=mefKDH$M;Q7n%hh1t(0rJ6iJ>K;s z0-x3eM8pqAqdIm??&@k$gKkrfy z6cI}#cmT&69B(a|;%7F|KHKXMv6&F-51HrKqeZ_&!w6TUcA0<@c4}wUWTjpR)bA2W zHfIln2OC}0A&(N_@6c0qgBMOj{oSwBbn4{@0nfV7JHeD_UgVhC@$Jh=KsJ0((+lMp z9KAd^df7e^GJ4&X_FhaQ_$lvf{tRzNAZ(}Q-OrWf3eAkkKaJnV61ed-L3`f=Q>3@# zmPm!ZV5m=ZyP(O9^lAU{Jn0z3_JuEmz!LMiolYeqFqh~suNV8m*R}606}`@w_?yK) zqlbfGCiJ4Djkyu_W9B=T08KoB%Q#rvpV!VOac>7tCde2bEB~RWNnGpo}udejFf;WM~I3MEuL6NrSXX`}uYe`1U_Gfzr*79b$DObTb1bFZxs*kOG*37hhu^Hm{y3`6%y>8TD{nf@<1o-f(0Cv@Scp4m1y*W<6T8od+9?#n^&a&@O=wnAO2rI zUzR%mwz59*X_H#mFC2*SxaLb!&t@mUb8KH3U9=3AnyC4X_nH&DXw_A$s&U7zEj_<# z|05BwlT9;UkpGZXy`B4ar1yDP^8A^JNGdd+XP6RhNd#)2QHi6qNf6FevWuA?<@j{# z`hG<@V-I+l-`V7OVtR+k1$I-R90#to5>M82u$CyLO#PY$ug?@x`tWALgV3lIOeqZ} z?;d*fh$RD5#m(p~J;I5V!|Be)5P3NaUjsk9PZMj2fVPEFjl&!yxWRLBZ%c0okjxJ= zJwA;59{YA(>5C+R@GCZhY7-wY9N$mRGDnN%Ms$Z3>`8DYZMQ_XObUds|K{<28VjH_ ze4?%@7I=$B##L63-^HqO&dV{R7n}6yZ@-1|*I)VHqITO zBo4QTtKoCrQP<(_W!$v}QuY4bC}>!h;i0qT#GSI*ZkIvCYv0V>`il~Ga zoNAHa=d1l!3gv58_C36L-yi{QD*j?Q;ur-*>sQUq(K|>31=XL0R$F5IWRj-!pB%81 z7UR@IXr3|u>gf|@0?r_!>Nh6xzzJilV!oh={Ji-}V;Og%dFHzX?_wyHj~Ak~kCMAit5~`)a2Xgr-;Yxm85L9u1Kl2Q`t-=Lx0t z0vpOB57rhNdld-#&;QbW&O`!1#cdmmUr10nm*J;?=EdjegUyddJ3zC4#?j=nC^z)q z+R07&Sz;Fp5;Ee4otf+~<1mj)g*Tju{*JG9Ykf-J6-$wiPu2g5`UK&k&RMY_Vt?j& zJMbvpR)lxV)_T=w4s=iNkooXdI_Mh3J7xxdMK{K@C98}WT#IkA4J=ud>Ss1J%Z>BzrJAXr5zFc7mb+%TXz9S0|D zExPpck^hDLdgXq_XlRwFYa&DMfKx4U#f593z^Y9(C;cRYz>mm{9iu%ce}wx-uC~ef zY~UyiqEvhk2=CgmuiQC|^8CzqNcy3BMhW+YDk1bcx8A=k88lft*ttrOYEyBk%losy|K{oc&wjXz_jaA?FDJ1 zf8RN=`m8k*j!_)?eoQh5Ivu7A+jT==yiuHMEi{&>AFrk11B36KVSD#%_wRsUsQ47H z7Iz^NLbL6@Z}U5jVeH1%!^ltf1D(JBN~1H(U0PYD%l5!bO1ebPXsZJMJMNF{2>)os zZ||i`cgHUEbh1VGpnS4_``dhO5MNQk7{cFkrg1ei7(O6uc~Pb-u3 zU0G*aqW)^$$Q{Vy35Ua-D`PejA#f=BmWF#{8kBv}pkA1YfvvGMYzF1IxEu7%@}is~ zoS#I4TNWOlMEHAU`)hVI&p-+%ZKGgMBygjkNn7OaEn56UyRxEsCm`yFLJ7zR8d2fs_!xne`>%X^v_!ysqugXgnEUCgBH=-Wob zGdM2ee6_(hK4f(x0zQijXBM|wLRM?rAB8&+KsoElELxciZ18NO+cFhe4?o!c80qKF zrs%3EIg^k+`2X|u^zctgIdo5<6C_=h^2eWJ?2~nZVh6Pp(eL62tMlI`Od0PtJ6RZOWrMc?0DSOg+qq@-`%R8OLKo zYHVq^*@NJ39QQw;o%Fw3MuG%;KA#&0Q(;gn*$DIZfC%|FPW7k5L6a?2=F~SYq!Sc= zfsyeLyraD%PdKsE9T+J77z;l|{nQk4@c0 z777)rg=SiBqTuK2X%9V=PtovZpdkEdGLeIZ=ZN9H%D68v?q7%doZxy`d_EALufyMA z@%uWwuM1G-7v$zk0N$6M7|l<_K=%Ay<@|mUgq+WoQ>I7$5@lT%F8o4$jNQV@a!@$D zOl~fJi2T z3QGZ-_f^G*0QrujU7AgKn+B*pw^vqa z={VANU#pV1ahe-wmLsIsPlki*wvZMIQG;HRBv0t4{JtNVgafBALWZh!q@7f4g)@}z}~=gho>kQX!A!-!AEqj zY1Oho-|}HaY$E{U4Bz z+g0krRC!Tw-pxSDUrYh6*2MJ+p&S**EPFD~6H##Q?|gCJSR}mCuqxAwGle_+^1mC= zJ3GVaxT2=uP>>O(&ksla@*hhvVUy-7z;4fRru3-`v9^odV!C)X6pHd_C%<{QVM!Rb z{4o`OqQCQO=xXRgKC(i7Ow(oP-qhIm)^6o?KVpA++{)a0(cBTER8V=SjP7#=8@;m4 z6O!RiQ|$Oz^uBs0IB)B6Xfkv&{QnHZl+5 z`?|C*j91dcfZbE4~>D`)w;$NU5G6e^Gq7D-`8sWl>k_+@lBnG0D|1 z&!EVeWh6u@5_O5W;e3=vp(ls0jHO}C-VJK?(CkGPR}<%#6HJyR>S|JgDJ|h`s^4u5j5=Pk5(B*CYX6#P1v6^!wxDnj7fW)8Dk^Kz?ff>H@Em@>emU@7s+4 z$MyN~1?r&WB+$?5zMf^7OyE;p{%EB~Xb?1Tiy16x`vLp$tetbuQ^A+1X5+Z74@4$B ztT_{h@}E^Z_w-Sw5cP9@SLmx4aW{B1{${bsD+ngGSvV~pM}2Q>=aYI*4lHbbnL>Xv z0O^}w_g4D&0f#5u(ancmmIW1&ouWhQ_tSS!djY*vXG8u#OH}&$QwWSSP^^=yPgbml*^Yh)ZB>r^DcS!q!;B(ZP$yu zB-n}arl`OE6%|c}5A#R9|9OGtNCsT65#&EGZ$o?E`gkhAPYK%JLYnD(q50a!h~B#< zaN^X&)Ep~`zzypAf>(-BuF8g#KK2luk2!xUk&cBRUGP61o{@TWJIFH#`dgJ4AG=dS zhm%cQ={Xy?nx*~yXt@vOa;(5e;F~|p(rOq+8aZIcZ*|r3qWcmYmvO$DUdeJSKkoyk zyMKR+lJiK}5f?(Q?FXB9VW^AD6OH?vg$Q~_Z zd+m1|I3@eeTi}ZI^5?3*R$bs&-i>D{tk=Z*WrB~ zzo5{IeuTd+?#)N+6QW^~blkPJAqw2zRc)RA9tOk8J0I*t=cdS(h5=b!56H3p?n8=k z2ac)jPU+|!%#qVm@SL?d@lNx9{rtxo=XINIAzx6VPE*dnXkbw&zN+1T^r~uCBfO$6 zVWu8MC&S$xft<#h^l{V`JNH@p+s&5=Ko)fCu(V1F{PJu#QP~y;3}v;uM@cB(@Wi3v z;oJl`6{z6d{45b%*)`p4mJ{J}e4AghcLr>+#L=o?8IB-dV&N$p!vpWqAmxCx{N>M~#47jw6USQSH4I-B%g7M*cn*qp>7`CY^VIG9M2PqN>CXhH|B>5iV7nt3lysySZ_%NC_4Hjnfrbn?DFw-gG?C6-BT2W2 zF%%?PGXw-s|K_l4*lX>ZamdfaN<+6G5yZae@iJdR^~k~4xTI746FH&4j%N1b3fB z^8_-XCu#?Gq4)nn5AVOeNLOahwKvr^NpRQgUYX&f6S&(@tX8~5evK!4o%dy=f<$eS zfC|cQORw?h(5?pnx9%?b>g)uteX1FE^;JCh9r*s;3DvEB4}Up8>1q$Fo%j8YOrm}B zf9LQ0gKz&ksnGFojF0F2)7`YF z4__GI;ezH8_NavI`aK*6D*eSrU8*ACTJrpBQ#605nG!lQ!k!B_ek4)n39Oz%{R{*4 z3%0a*prXA{CA1a}H{X}vThK=Hzop{&xkzV`sqABQ5?LD5UW#weERKW3>PIwtNMUe; zMD=p@OcH1gP@K`2a|3Y+*ZaN0S(y%K8a^v`LOg9y{9d_sk(8H z1Z%5jEuE<^Lac_aKeiYSGc55}64BnGpQz%z4lhmdb ztzF4Qbs_rt-e5Ltu8OBLAv6ZIG!OAQ_IUz_VIce4{Q+3a*eRhHCjhT0-{m@#uYL2F zHtKFidOlP~C@gbRi2MC0E7nmC^#v7-?9}j-1>@GCcy(Z-r#r}DkpWS|7QwN zjl6A>m5%_bHPP(O?i7fg5u+0u)W!~rJlJ(NHwMb-T}c#1B#>QgPWxDw368rSA1z3C zCgLyX`uL$XmuNWqcxTkRCK8P7Tl&_25Bcl(+*G-_D*;x2P6p;79iFQTlA*Jz$p7dc zKc!IBOr($^pz;B0#MgBn2(FAfyS*lrz>U*vt^H1P!JytwE@g`P0o;$I3mH372p*=8 zFFCS^{=Ujcef#*&^hh7PheFCU9O^9I9HeXY!APByMx)D75Rq9-w!6j{+fCoUh&o7Lk|tN5OH0t8wqZ0e)~dX$Ku3!K<2&)z{EH-yfgzTkSQ{?Uii|iz^F( z%J2w5Ud?!-KCa9z^plf36~vh-gXJ`1A@!L^TxVwn!A~PYTkrZ_Bw-0!d9<8pAKpJs z&FK;a@>o9D7|?5n_G$m&FwTc~esHV*#J)FZ?+xccoaef=+KyH#p*^W;N6+XnD}sM< zUc`C!GI{UvKB|kb)2UKZ6?4IGJWoAx##?YM2Sjd!R&S36G89Sc9C!^sDam69h@0h<;o>|4(KuRrWRA2Hl-0@o$R z_3Ln*6MP>Q-+n7-Ua!ORx~i8CE`33L3yLjQo0`v{`It4;oO`Iwba6m-XXeg0 zki7Ewg5F#JgoHFwEzxTgB|HdC5a_S1SFToV*yD^sx zBhC$HsD+UJfpgN;{=9`|D#v-}--o?nI9z=15e;w5!qdQ|80k#f{r;%N_ZjKTkq!Pa zLV3`Hjil}9vrNz>k58cvNdt@UODxlw8BoSC@F@|UFIwlUSCH?3!<EfUmL42piRBZopdJwF0H(IDb*4Q8#Q68ZAf2fGG<;&W;q^?7A&iC z?F|9Nq@y3$)Z{UeAD0;y(r2q;x}_B!nhE{l)z8hfQegjXcWc~GO7TWV&(c-siL^=aSMLf3b)=|K9 z(EagqF*I*J+SEu@m4z_PUSWAD;v=o3>_{_TnK z%~J*?$#+tbF9CP6!uw=!(ETg49rbx1Ql~W~EJgtNQ0oKsPw|j%bWHQWu{8L7$X)sj zRRr8ww7T-SJs!rQQ%<_OIDkq1FL_&54WKxysHKt<1LF|^-^+i-!gs^>qUv4QP{YV2 z%btgLKC^)vnLp4ss;U>p4k>uVOafTp_tC=^h5w@AtQyP(yof ziaIAM13a-enIE~@kHDd)bf2J32#3VFVdL`+-q!pRkwoS@Jz{; z+PlfH8n;&O?vn^(cCEFpXda*;rgxlP#}O=bZmLjKNB;M;Z`oD3lngFr4C^1$t+B=r zi!*&z|DC@pkn*WdIpu|wzAB|U*nsqnb7#snkUk84KbaGM_zIeJH9ryt`i->&7(K~s zr0<&x-MYtI-aJbKH>K;h?x6XB+mX$-=W6TZ90kMo{G62lfv&3o7fKw7c+FXja;kdj zNqk;Y>CddUP~YuIIeAm1XbzmEVkW<29*mJ3WcOyF`pO``2CwEwCd}{j-__9-3tAD^ z1$ykGVOVo_E{jYQd`%A2IzF94ychN?^7ab-%7Tk;_$U?(^B~Jw{qpFt^`hQJ+>|~!v1+Bwl=>0Js1`j>Pk`ze5*q0{VjsCwcD_l+*p}o#B_hF8y z#4J!fBKS;k#2ORrsh8Mp;Y;A4$l`IsNU20Z*Qx#F%Ns8rWfAw_)CUDlS5)U@k;?m` zxL8Qst7DRk9m0Rmdu%tap>2;N?5keyc=R(8?n^fRu8)l(?m6z)D5Dvo=e9cwk~rJ7 zM+^OkcnxxQHu?O_6UM_%|FRQ_C4S#EW%J@~5~1)j&n)R|SPT&tc$|n?zPk9t(V4*Y zwzW2M9dG0#_&i(lFq;3x@o8e3wQ=qU%6FM=KQE__2BUXn%|iczvsgm<3+Sbt+AK$Fc+3B=29n8 z83Sv-8AtvEB7f-fvo+n9ys*AEB!-ixm4Rv0;hNq!YLyaqjk-CE5=wQxl6jj6M(Pi=v7%>R;hJOrnS_Iiem5#e=KCn)-)eAVxLd zcofq2zx+PO)5;6uy!hbGH!igQmRZ2YC1{CN(Z0Fki}sRmT*mpT>!9LsYMB^tAE9E) zJ?;tj9u9vTgBXa;X&PQ$$%1gjZo^YM ze2C`<#`1c7)T6S1^B~T1uf9{8RG@uK>W^b16z9z_oPTj%#CbNr+RL^+ITzTH*SLLL zoG~2Fulkm%@`UBUhqJee6SpP8L)&=M126OlUdHj*-u3G7^;U0!zj53@cI*eI#$qDy zPp$h@{X}z#9Hlg`@AyDovFp7c-zebYx+F7f8UohGVh7h~ISJlbDy`h=BIXZOY#l>x zV;A96@b*YjV<2ImA9`w0+b5d%1aF#8@R(iso$ayhwUb*lmYv z7LgC&`IXml{~iP6SBLW(o;R?Bj8;~D2*B|C;8JBm?M=5Rc** zzm(Cu!cg7hQ#*5FFXMlG{#Vn2?ACqB@Z^Hvw%7B>U)p-xp$E#T5ZZg+YU;iW_IqbC zYmvVP*z$bhZW8dp`fT=cs&S(HZTBf^VmDa^GK;gSg|oVPCoIL*UpQC7Kjvdj0`}ufZBqGh5OLS!%Xz01kp6IFt42d2w8s~j z2@WR#XJPC|KZ9V<+3Lb__)|1odY#qvK^XPn6w4cKiG;wcRqMw>g&6pdZ1OG8$_#?{ z)0!QS;(_AY&%Rm@BOtH3-13}PEd1P}!PYO87Yh70^0m?~Wx$quvvp#b@t_{R@~W%O08SYx z9kT5~{haLlGhdFQ{Nn{r-iMEIa9^sX>rO7c z`WVeiJ+2E7+7=Z=+|LIjn?2hoU9p}o=X+?Mp}e!HeL2x43uFqu@k&;qeg2(16JDBG zaGNBdnMga@%&&TOLx=t-#+5%k%co~S#A{ssx2)|wUc~3E;qZ!9>rX^;c3BF~(SJXz zbtw4J&Iktz ziF*HNNr(9lUF2UuN|cg6p9RbOY;2XNez0V+c6ga89)_44c8;R?@Spw5QWuMpK=NUt zquj$Ns4}BGZ$2CXw^ev@_M`hgb(Vvr@Uj}@%PsA$N50LMXLp25ntNgI+8bxj(wh@F z_|sZR|I5Bq!13+_+b;**X`~D^&13(u3>Rv1_9fy~?Z(?y-eg~ho8+6X zLi?=v?<-g$MeA_L7m67!Q=JGx@%%3?@Hp`}sx>+P#EQUmANAPP^7#zN=?p46CYed# zQ~UQ2j_uBou)FAz{B&D5&@d$aE=PO7$qbaUraJ=RLDGP157MJFU1IyGjOsXe{Lq)j zFz536qrKz02UosC0w$3!{;((uMrDVo#YI>!yQjU2IaU#1lk{?CRK_333fLcg?)Akk zhH5^94oS@D=k;^Gs4p^S_W1NUdS8r@cNg9M?P!1N-~Dzx6iB6r`kP7RMH^!!p|E|G zUME%?eLw$r0LL2~Z?ld~DN~{6SroHe7C#XH<+JVIZoG*H-o%b--4=6Jb~u6SQ~sm{RS!_;x!uaDCiT82OyxxY2WXHBcik z1WpbV@b0@A4NHHyf@f-y2p-lOxTe{T_OWsos|Q+0+rmO{y{KH@)w@OM!(0vkMHE;>8=s*srxqln7 zybp`l>+rm;@WB18t<6#3A(SDqzCr@p(%joYlfJ;|sb1`W@(i0`=8Hoqk&sD#G3fG= z6|ryozdpa_yXf7BxAD-XadWXMDGsirJa*FMNQ5f+J6&ZNu#yXK@Y`2|0rh2 zn*z$L2ltF7Azk>BeeB74URbc(_~S8@_sw>vvVTMSGM0V=S|-Tf{w#G4#nihjq)U6f z;P>eaAa|+dK++}P^Zv*u&y`5xOe4=JXfPja#!u^U?Ph@;QLwl;rFYmO7DUPPD;1=| zK*7K8k1X;D<9tOrSc~>euhmR9+&<|COEW^rqqoJddVa=TF=)=^6<6a>+Lm;9x8TWi z>3KY`_|h>lARYRZRI;rxk|7YztySMqoeV3t#O8LVq{A3bqAI<00*I?;$nhpcAb(po zetw$vX*lo5W2^pgLT42+NKdFO&}^ zu$N341%b`BAf8oP^t*EWIowtj4T))VJ0ykUfk{wpB?`^y<#nT0{D(|IX_N z%I06%B3<0Ek7moaLO`ujm#m_}69U}EFQs@mV$M_U6|=l(eoV8p=MwTkJ20m#bA8R!g@DGo**e5Jda!vj-GrEjPW8Lvs@)3iQ*v zQ^7O#;BG7?30AX32Yc>^fTUDYZ};~&*qflCo`Cd(Cf)etWKjL$yC`*W-Jlah+Z>LT zLimH9eHUV<&b>o$)AUi?t0;m!MEB$ z#Qprhz<#yPUJrQQ-Y!W;`S5k7wlGhW-@Q8=HAR8+yE`p!)GbM5!Nw~MspDjHs83dU zFGC677JXNi$S(&XUZwXwYx2%=B|h(Ca=lYa8_Dp&fcl25Sq2EE@Yj7L^TpVLvat8A z@gUXodR%HT4Fvw4xKjNj3eKF^Ih%my3^sg&2W9Ib;Kj3XzEh~Lj^oF9)N7wgN(0B( z1x2j~Il$0!g{KVZU`JixIAx0RJpE2b={zm8my(gv@!TX4OyXM}XF0@xS#(?GHMelk zpLvs9M~Ve+)s>etY91i3#g^2Mez!#RV5w;R^BB3pscjNuP`G#gir~9^;$AV_Inl}y6c2}a>+i7CIl;1i#NAOe2kQ{! zVgHgMg1F~6&hA$@**}N+b$K>#8KaH7{~NEzEY8r_IYD^uIgxbaCx!pMT=(|T#oh{n z{oU1a@BgB`+<$R_$H@oN70JL_Cj!?4GaEI}4x{;y$6tLPqIn4%pPKKjbWs&0z{MHu z=#_#f8}#ShS@rfNV5hqFf; zWfs)S_Hdra@W3py+EO!-k1c+`LoX=B6iK7^LJCKbdaEe-@k!s33`6@_|9Ak$8ys&t zDJUIwi^YR(fmh{rjtI~)S+Kl{^cikb4YeCoaY4o1VV&)0?_&Q4dAcP1aEN)dw^(%} z4NCS`2CU?|5b;N^sqV0Z_Et2^uUYPK35RGl#vapq8Bl%sRcHmucZ6?Hb7>t*1+|A~ zQ+V}q2!1-ITFn@@5dofZcja{M2ZEN-CCN(k_v5(n2&=C(u1BSlCD4khjBi{^8@n&JttM8T?7x}JXfr=-Dv7l6hu9#O|IWx}@W$BL;#Vu6y{es3a=1;NWW z9{V4sDZkU>P4G94`$j>A2Xl;L;Y&!EeX?CTOwYM&d-=i*ishy5|4E31&KZ}FLTYH= zV%hZLF()p9carCRPgRe4!uk*8M-|97+ls-jRK3|B3iE2YGfIMC{Nby7w?U+%@lXFv zn$|OlgzD9mJo_Uf&^{KP7m4YU%FdNnm-2^=i>!vecu zx1*1@?AoXCJcQQ%=Syof*C&B^)D#Di~V-xt0+Sj z$WFS3zJ3}>oHJV7yAM^I#PGAl({O61Itc_%t!+F)^OekzKSD@Jp|H25pp?5k8s2|a zxLCX^23!RmB->f}f=WrWCrf}7R%kv_UZfZc1MPQzj|HSb)>L18pb^UVJk7={kROTj z*GkJ1E`q#b8OSkN3*gl|Iu3wo81Xe$5AF_QupS6d$lQzJi|chL#FYJqSeGa^_A z;pj<$f@i%)(3~OT8?^xaICw{LqU(PZ2jiArhh_K@;LkBPp`)R};N9XON`vOrWveE& z4^AdPS$1~PYFYp!hHy)XUq}0LH$y3IQ`*73_3HELO!9E!lI$eXY-=Wtn7ycq_4`fvddHg51@ z1^)<^SYUovM`GTY1x1s*))S`^;RV~Ofz@Ot+$wy~UlYF*R29p%a$J-Gnu^ap&8Lz6 z^S^lgOD?MY^_v^w=oTPhe$fsDA_2&<-MD#|r{q?rVD0t7MS*U9m3he`KeAH;K`tdD! zk!mAXIA`}X;1qWnR8@V^4}TlBRnUA1f#8SP;)*B3iF=OYtRp{( zr?WZ*+E2Zow~z5A;x!7QUALIKfV&d6fKCY7WBvF0o((T$vE&Q@j23z zCl}}R8R{6E2wXq2(r`f0C=0&4X-JmP$RP0P)LM#c5z;v-?PtBGfb=unMf*p;-p>LW z&WGmLYXd>0O`k%VIRexND5qcSjw9k{An6?v4R?ps%Pg!rP~D>DZ6mb=nnzxunqJtu zp9L$LJZwDOPC|9om8&~59f6b0wRz@*Cl;ft{UrXjBEXTf&&SbzzQ&l5*2heDOfFaD zbP*ML&;ED6Gh+wF&CtB+Q7eiSHJ3=J5gWAlfOKzg9>DPi$6HS|ww>dF@i4G!-?{~5 zD9l%}a<6=gNBVDq?6j`Jn7T=Iv{V}j^zR?V3}?gOP|k-+E9Eq3S0DHo(&$XY-*#S_ z_d+HSz{X5#&+Zrwcc{JY6lkOQVVm8Q>tiu+(dJRWTu=&BtewmXLV7beKNa`Ane^le zhqa1PUEU&J$jh>KWSUPTaKo2%Y?9X{0DKws3l>Vkf&AfbN{#;b|MKwP?l!v(q?^+D zX5ixoS~zEY`a`yO7@VJEE6=QS#iEmf&EFv36*1|D!Y{0}v99AB`q82(1TN!z^|~fE zR}1OMT#rei&8$UxT8w+Lo(x35k1NX^f8M9Ukj6JjZqzqE=kSRpeh}%c->JAPYac`C zR}_pr34a@u2yCs%Yp>6eK$v3TlP9|GI6r0Fcq>-F7=$_G2|Xu8qWcvs7w1KsXC=0FjGJ7@ zf+KPj{;OoR7>?)D?w{sYr83d?rKl`i5d(qxebSPjbO~O@@i?}Zj>an6li+V0_kBjz zQg!EIV46mY(zYNC`UwbA^2skLLiF8baYwEHsq&3!?sQlk4lI}^b>UT-7@50!es zk=Fyx;i&Ju--0HW*V-S<=6wO93V~15>-$PCqxb!Py1oaPzi1nGqy5Ubn@1y2KNio6 zUOu9HHq4q%JLf$ zzph$z1_MbwrD?6)57s+;%C$cRA>ZbgS6`Zjf*!f6@bg|x=#6uAyNBvJTRQIk)wmW5 zN66ipmGi?1e^}f{4ELMBb%}BPI$Y-j--pHbCh++>ybp`l>+rm8I0f4W$hW!>$l`@< zJmLN-nXGgp(v39rOKn>=BlPk9*XJv`@02V$83Oq>2GYS0@n`e$9dH# zz(u?5mS-N@LSp5EQ|z4=u;L(guV3mBaGE)`W*5>edOF&oAqx1}YSu;sq9H9= zQI~rW`J$QlvD2gdNeugdP7r72_(pn z^^_8oj)jJgonN=1yh1>cIn$xr7YcnHog?jh!0@G-sQG@>=keJcq+b#Mfg$TMt;qjk z_{WVMr^UnJvD2^RBmO?%GB9)Hvrh=PF8qBte>W1&3P!q}*YSYgrl~b_%cvitCqbJu zV-2tCB1?_;>%j1~IB%K!5b!kMEALxJeiBNc`|5Kj1YQ1H(_D-80vo@2Rj+!$qVua% zB{^9*KYMX2y`npDY7Cj#86dwPrf^q}G7l6#Sb=v^nJ1j%CzJhE4jAh`;iT@v;o#fe ze=!~HZ=PYT4*0eW?J+B#y;X0Da8pNk_3P0v@OQdCQ{b8aXXHBHg{_A{qLa8R|6Om8 zddJttf%HK|v|lO|lj5LY^xWayNRL7PuVu$uk8seC+fCsb84i+`3n9jTP(Bv)mqXVj z0nRzMruO=~fZ17=>!k;Si1TF8h-?e0UtN(mZkW5S08d-aoc;Y!9Jc)Xr-zqHTIzrV zobi1-KDW&WGA<)#|tr_jCVnAUM*xIQB<+@KEdx--Puh;#*Hwx1m5}%ifjQXg-_85qH#UwV8 zh4e@JV1W0fHs<2IzI~J|8k|_!`b-$2K($hC$TA=R)|Kul(;Nr_^U8bHN+y1wRwDDG zF))ePyVCU#-K)+W4tBrD3W^qxKDS)kQYo_|m_1&(t9!u{W&-$412v)`gNO6sNmNH| zRg&!HI3Ef}YUjK^UiOCrtXx)U%|ReB`poLZR$o}*srZzif%aUa?=)WxG=P}rQv9Fy z1rj)@u9YFqf6xr=1k&V#W(ut@gzh+O72-> z(ugZKnz5Z>jdKGh&0Wp*Mqb1{$8nbV1c!q3@45d?P)#zs$8CPLniGGiYjPtdETsVa;1g{8P5->Wxmi1=|D3$!wB zy#O3td3mM}z2Kvvb_|B}>r6>T6>(Cum^HtpQ%+?#G}%weh9-z$LkdT8c8Q+D3@&k< zN;+f!XPy`cY41*fP~C%LaejuFr&@pM$w2hI{=45=$QRHG)z?qj`{*A*d$`j^ub#T9 zgc3Y};|-3t_sVy?Y!vqb)5_mlrv-xGd4A`k|?F$cMPeKdzPUAZA=`ly>uV z5afwZPAbUhf{C{z{{jD40+(^VVsKLQ{H`1cdf&URv?`v)B7gb4-z^vk9Cma)=TY7o z{3h#t08bonF^!)5sO<;RrOSGpSEC4BvW_TwerYtH`$I$5cS6_;%zS=%t}FeQpZ;_o z*p1fdsihHx@#%<<11ANJkNfnDMIOv=5sVJ#1!U)0L%E| zQ0%ZP!OJ)vw`(TLxFvfN{Eg%O(CZ69l&$_iKGht)M=AzVo)jNqV~~c2j?M$C3_%Ew zJM&zYJi#_8<8pEmJ;6IUO$;F~*^Hrd&7^W3>8UF!25ntfvw-Lno*GFJcSu%XWBx1i zU%!S-n5p#Ih2C$g$(x3Q69}D<`;|iPXqh94d?0sqv9RS)Bv5U?+wo-&+Bf>gZ+PC| zBbAuYIcJ37`N93@rSy9KV5k*SHZ3~n4;=j4Rc>4khAZ#3OhG!*e|nqn-9j)3vcE6n z)SM0i@6YD@1h$^UR&-kmBD0YHfaJZGJJHJehWkz6 zy2QAC9jh^?!Xn zy|#-Yl~o7`zv?~lRWbzryrwYVOG0@-?aMf(4+?P3@M=rYJsS|(@Y@*8K93!LXTlxd zfZks(F~2;E{FN@uEAEQ)_lC=-8>sI&M+4VG#_il>Xue^#oZ7%1&0Cg;{N}qI3S9l9 z?KG(WIn_{*F7?$paTCQ|_1}<`mPDk#eax&Y8u`7u z$^4oVi-jM*ckig&7eJgkQ*~Qd(0(U=HpU7(zUvSIKNRd7C!a+CkL$M|hOfL}xogL* z6^q3#1? zt~*sGcle?Cxg8r*N8F%(PjlG9;V6I~QW`yIZY)vAM6ygX0Zvi5q}=5|`v8eH-H~qt zfqjqN;`Uu=uHo1^k2l(rzVj=n`3TY}D0+4$U+Hl$L@W04^q59K+nv$)Gnf2eN6X#U zJ{+N7=+2q#k%Mq=K2Jn;s|Q>aVqkZB5eyye-k)#sIU;@HK2ruteb`yXu2U-*0oyAW zbJNS+VfW4S{UONzOHpw{Euk|6_!Vq3m1;epvaD1_QBwliDdwMMBf)UbCwD(~q{sYn{Y6xM1SoykuDL862=AWvs@<=Sg@-)r6w6IXaBik9 zKM2*c=2Z{8{81PU#%;7%(~$@;zp$(5X+{(b-N@W^2Kg+CF}v8QKlK7GDz)0?b#%}E zo!LmaNiZu0yr0GU%m-^gm1H)yXT^lb@1l*5=PN%u53l?uredhPVIulCb*QEXaX(8x zZi$j^4}>?n^2|@~3x}s}@Wgc-iO6W*?Wsh2xzqKR&aoyVU79tvzC}e|2%eJ8Ue?!v z2qrA;CdymzcuiuU_vzv{BtGxaw^Y@O<#Dj}eq;3GmT35#5XzoxAdj8ye=TM?8V7gg z^#+cAi~_1>TydneASgUC^sxb;%ZSTI5yW=7V9DFT5FB8&ZLf{>f)%Cf$ zi5TJ@)Wn^heYcAA)N-EKkBDRw_v+=&XNg~EkiLzzK&RM-7nnQRfAeH>hhcJArytaw z#68DxHu>Gs7kT7=#p(J=M`F=|h*wX&rQ{Rk2jONQt@B>-1mgF#r@CccMePr5TzBp7 zJK7O(fyc>}0A^DEX*UAbx$NvywxhYbpvpq`Hz8=w_8&e`Cd5>gzfJR#+h+WA3i)`g_NcU2`9ZU5^PWBSCy4m*$!nP(7tn@R;d~=|wLO7a++S-U zCKbX|59sh4(qp{`<;lLrlHl!{qkQdS9ZaXR!{An@3KpJntG%e-0-n-(Dq5ALLkvyE zuSd-KSUIBrZ#P*SalemD<TFM6Q4}e%M1%d^t+~DdfiQfIqxVR&qv8{-qta3WD}9}NXa0lBWZ5%sk}Qz!`ZihddZbJL z50`Pi^8Gc#`FAWD?7GRy8o&%QFbFy*v={kCA7s0)@(1mA?l%naNBb0%b!E?KQGMVY ziN2}+UL2uc=_*rPkgObs-gDybR~dMM91CB%mShUSPYZMmE7<`Q2m6yr^G+ z^EZzB-cB_J>PP%xh_+w(kX{@ZH?_}dp5?_H-7^*3mBK*1Ieu8;o;QS1462>wU?q4* zCe7-^p3BMS=_bJ|EDY;<$@& z^iwongy%)fxja*k&P5RU0G?m1o+Fi4(54gohUX3CE01^hbn9Yxe&8{8R7ZlE1XCwZ z%nl-5>(XJb@@-$EfpL99&+ItLGxi5R5J!DBwGCyj*wr}rTjwAn9c~BTGVcnuT+9Fk zodZh+=zC@1S>ev*jfF~OOIMrlM8a1Y_us>P#Bjd}T=x;zufzAq@qJi)ZvvmM!|UAm z`w*VjQ8mg(=&Ymp-jO0j0e5RcFZ_RfK1JIt$$h9Et7b8EM@cva8u>i2`J1s2aLdP( zR`?v0GkpF^cF+s@f(-l?=&Z3aHX53U4{?yg#3uR(>02s?94ViA6#`w;5w;^}evwn? zX?*WD5*RX7zRE}QVHQn$ztYmh!K2)+fJNj(W@TV|N4mxW6Y$k|UygJpG)rC7FA1gr zd)W;NrHvG@Y47K0pv;6g_g;hAD75EtkJfkFL;cHtCzBoNmTaUE;Abhh zK(F2j)X(PL%5v*S45VG@;LQ^VggTeiy#fs=|GpwUJ1-OkYH9G4SHmHc|xdImsFb8Ooz;lr{<8mjOpKg6G9?XyQ2Dn`1$j%4C#f_|8ztB9s>Z^3} zm_g)QRw^gL@H7R+#HuLPisC@n!OCCrcQDvy^;Fg$2#4RX&1T1KNRWHATFJ{N2I-3& zTkw1l4S_23jF%MS;M@mMr6WF}kmqoyIRw>_#=5WjrB24f4}a!^-J~GkWLnq7P@nVy zxwlyQTLU@x+!i_(-{S;iga$=)FvqJ}pgxoN;VD_ z+U@Md?`J@haCYF#e&oyU<(k}r{yqHESvUFGgnWdsrb*u2RcFB5Na{k#st&g0-#-m8 zH(xHEQO1Ph+MGFD&^+`!-yc~$KjMBmkITy%=DPu-r-<9VPUMs3iS2lT{BaUnpUkoH zq=3v^NmO%OCUkE&a@WMsz_7OERf)cHzH zo7meQz|-%VN$5~K%bzi@IF<-OUOS%bvdaP5vWfz=2LX^&_$}ZVH`4oetUbrpkqEaG zEF&j`6JX0D`lIVi(eO;I2s-|v_n5ygis-44o3bj%7kHf9_A)$g!|z7mx{(rJPaE3jn~^_T zB3F|};1k6*!LLUypuPCVVa#1fPgC&2q8G*XEZA8r#doyG4=!Kvc<1R84!>BhS@IYJ z5%F`Dk5##a-w7hy?KLXx!oi4K>h;Poq<`a~u+R|3h$XoQg|RoH@4fk$(W!@0kohx4 zOvcs>3tQ^24k|JLKXquV|Ct5BPZ+YR`0TKHmT7^Zf@I=;-^xz;Ye$g?^W;NGC(p+M zJ@s{mj_^!G;5fHXo`*zoF^j^zlcjab#9DJJm^lcZjDa7pTvaENC zhJAl?cis;T17^1faRYL+|MhSjiG4Z}@pn`*X^tu`5cz`+lf2pjKu~dZDqsTjapxy? z80E#mTXep?ID=ITjU>7SHQcdzonD3lWse-6=)zFV2fN&vqDnZ!TKPghiG+vWInrF&xj&I%*u3EkU~b zF4Qt?%cO!Ti$K&7FosZG3{se#HxS#KC|FobQ?S~IG*$UdE0OdoaOJ3s! zz^JXF*P|2(E-$?9v!gjz;n=tWkFWFu?@)IxY>ebP!bR!`F^_{;z(^C?*Hq#Liyj-L z9!3E`d-v2qzVQ^ozmA;qu##eC4tlS-xxp-*N$4gnKbh|;PDMIx|MCGmzmhiX@nI6r zCio4{8_vv;rkz9VF+4AbekC5On&ki^3>9IP`|Kc4bhPx{M`y^~r+H>^uN_3CG#x#2 z-wD1}cMs~+Iz#^18)jR#$if9FrOVQyf$(=u*5+)5AFA_{#eB6ves+tRhkcPAlcnVA z?=0#Xgx@pn3yAxO;X32EE-|iOhwGf+dr_&KGhKiP@Z`^HZZ^u%!d>%Q9ow}eLF3d>M(7{V4{iNr>>5%{e63; zvdjY(4!0bWJm?K)4Q?ELaK|3(FQ|JTMgGdF)nC4*U2%p#d2BXf98NIrnXaa)?hc%( zf(+N~Lt$A~g(h}I7~J;P-5TujhCkjRSJYa(LET5|iifWk@@Md63e*XNKJxzgSI($k zS%@|7dgluj*O_lSW!n?y#l2aH%Ej7%pL=xaK1bO*f^(O}IseCQ5atm5M>xU?Trb=3 zi!eJOU*f$D&F*f{c56@2=lvQ`X0BmZoz4u0{qI!RAz$PJ{ir3wNo#tTN z8^U~NrxOG*TkG}|n!|?ot5)|tTv&HX@YWBH+~Ds_UfQ|yULaqQ>-F`OFAPnc%2I5% z13y7duL>bI6l?dr=CHE>b%($Elx&TO`$>`EPp8{# z1$OK?3R>09kdr%K_DVkp#0?AR503eQ(V=X4O|*x1f9+JG2|X{2U)AWm@<0SW*y)M$ zP8bn&m3@rH-|z0wB0lfW03B8-RQIIJ>^n%QZ{ollG6|so~Lk|6AAE0@#O;U>F z4P1+*JAWBD!HPwq_~!_Fa35a2PbO;*UE0^5TcG_G96w@Jz7OSnbc6==8wajiM?i6sm{gn!GFL-o*=gPo6VeN_eZaAh|}q)&+B;DUGcz^!m20`F3j&$kG6dJ*@a z{FYw=hrcJN&W2&3x{<`aI-VM-ZS>k3vZt@JKBY%}o5K57-W@dsyAQAQZRE^|dyeC5 zMy0Kp;SW0qP4Ry|s%1pPtIrpSi#sM|pxRlCBgYN(lmGp`2mfAtIOA^xhm^=mcg>$C z;sTG8lx`QZRwH8q*9{xT66npt!9Ji*#z@bfz^BmJ{^Qq9`@=|Qj9oyRJv__0SKi@_ z_Me2!IWlO_`}F5GFZ^9?;X#vf{q+D1B7S~Me6G5BPy)6GOa$nRnL>NncBonphS7Xu zSLgbzn1_Wd)CYTj(T3x}&U-xA{T+f$+@dgi_>z^QNwO<7mKc>u>79B<`%sggb%w1l?K!CEpU zC#X}|itRG-0*#Bi?wG1-gF%qVb1tMyH2qmId&{~52<+ajYaoX3DQxVV>csPAJpTIX zt+*bq8AF4W{kO!A+MsN7xsh}UeLq6)9JRk9-mCad8}-Z{^z!4vN3Vwx`R4CwN(K3Y zc98x19N$q#7r57T&{wP4gTRgP{5N(Nu3iAG>!K|sL+626ZkYVfeHVgGqHIatpuoMPWUBLnSM?8LGRVJTQ)4t z1qTv3-4fc%*UMWxh=|8*aKl^|F*qi>doBp$#{8YfAgmQ?56+hrvL1w|14gw z+w`B^^q<}IpWXDI-SnT`^q<}IpWXDImHX$jzUe=^=|8*aKN|(O?<{_9`p<6q&u;q9 zZu-w|`p^EK-}k2f?Em?tZ~D(}`p<6q&u;q9Zu-w|`p<6q&u;q9Zu-w|`p<6q&u;q9 zZu-w|`p<6q&u;q9Zu-w|`p^Eyzj@PtcGG`$(|`8=fB#wGFB*a^DG4w+kYiL=kOa^8 z-g0`=q(kA)6q152@>?Ho&6Z$D2Z5YF)2Ci#0%=`SEX*?$JcE{;xlQtcIn1Xoqahcl z+mCR1Tu6tD)1uv%D6`>id|mZ3W7A@T>DmyIKcJgPVX$aa@H6*oU#@a zP5UInJv|A-M}^67 zOZ@-!`H3A5{)n1pKzzYu(MD7{Brc?AIEiOMXw1?lM=4g28owswdddgr_Q#B81bAa< z)53YDRx;p6y7GR;upC$!dS&uPI0Z^sMX)>n4{7K9&(;6`{}!?;l~GhiR;WZMty zdu8vv_uhN+w0DZEq6o!9C^9l4BP~i&B%#UoTrS_&IiEk^{nO*p>+G=n1@)%-tr&Sb= zILHC`*vugnlad+-OI%LjXWOuIw*|C0EwCIxZHJ78C+qQG+qkc(0?V&E{Sf5er24~` z^}vCgkqc;~ib61_G8rg-A8@4>%mS|YW2dspQ^Au{I_aNsD)_(FdHhQ?0z}{G8fk@P zz^BZzidrucXx5q4_V0pkE!qaofruX4@wNj zvs2+2ZL~l;dpbb56tX2Jl2#11L>RQResZydb~%lVEtvcowt2E;>zr81u-K#yvX zOh9=u+}EjjOM{)S&lAqxsed&cC=}>3=qn?k`@+kh*pztKVZeQ|TrM4=2epp<#_}nr z1&1#h-NpXi^dj#ljXNv`@1AUHH-MHbR+gh239u^pT(Y1p7M4qm_G#*4=ZB|6-YId% z&SRJAO?vSw9;RG_dQ1LV0sqnEZ(@n=#3+=bT9`BL3~%4Mb9W^~KzUWF<(?#8(3y2J zC*N>FHB4iBbj;#GIQ6yPk0a@De_-}CUrZKQpGGFsA<@vaf0=ZDDi$(1zkIOe&4Doq z64~)nsW66OxY-|KdAsy%jwNPEaMC!nTj**g*lH#D-YrdsgW1(tF*A`cuP=Q-x+4W{ zEw>Da1gC<#{C)2S6S=U<_gLF_oF@oW7B*y8R@F|9~fM2dXmQ!yS1>jm;JOzXmk`V{!^f?8zI68?VhIv&EC3?r(v8Oyo3 zaCDX`YYsBNmD`O%*C7|KCM@%!a7Z7h5U6{n4B-Lv%`KDo}LOJ%9Kp6VUHk@ixtPsJi8pTGt;9 zZ58Klan)ma;ryCw?Lv8kelT2mk?>?86NF@x2e`EhVMh_WgKT9eJUcCV|5acN(3o>4 zKKzjmIaljW*?FcxpNKuFWIY8u9Jxo6#v`Eb?)bU2_#`M|K*f7c`a#B8J(++b30^)i zeH~h=i|*1G6dtPxC3H}_kfArOIF``69kSZXr^84@9aNSJaQnZ=g3gws>S|M^L|sjA zcX3%KV)Y(8KG|4_o$DOWf8D-00=y#&#$UHa5Ot30?5BNHZ_1u#z_~*5WbU`VM8E2p zzIb}%xFft;F1!EfNHXz!t@0ge7uCbzH&b!!kz-LrU*LVBye$_&bJv~F^}=Ds);}i- zK#EE&kl}hZp-=3;Y&)5z(;)lMT~4OaXwWj-anY_n5B?}DuWg_(5D0s!ON-?uy3wW& zo$SSOy8i2*hO){EW_4fSaFhNT9ggMfx=Yvn?978F>B2qD{#;1p#ra*0ZSg?8+0pon z)&Z!zdHVMK^hCGj#tpU>^g%YlNPu@|J~YNfouVc8LT{GC`p6qHi25GO`{de+^~2Hc zb93|zW~BF zI0K_=;vwr@boK&E6eJ2P5ACqc1m7oWHDgu|ME^BJY`v`yjs=-8^8DH}(O`Vj%|q5P z8=m#kb~k1u!}fT?XM-OZ;Nka5JVv$va6Y+KF&6&Da_*=_lJge7gaL)k1HCV~8H8>G zvt6;N%n1j7IA#uN5uhpDRAF&9h2U^3YL7Z>9uMv*+f47-gn{g2Qe)V=IA9n`tw`{3 zLsu=T*(ENB#kmG{+pNH;&Vi?=D0&}E!gcO-&Ix`z^g?}7Ur<(*ETHO2DJ2jf9( zeF~l7AMAb~_oNwW=7235GUi$f2aY?c(_+ghfb)8A{9;DMuM9X^!a2nGDjul59h*(0 zBN2Q$5qbFj>DWLttGuqfaMVyO z(`hydRG%pD7#i6VT*mb{`-*vn%!dGi-?;8S)2aDvIF<+xhSf>JMOh%GE3|IP;Ry%G zV=9kq#(=I7B{TVlFqqKh{v|BRNpPov!A~@E)dTYNEL=Tm^5Co!T2{Xk3@NA%kg~Tqm+(b%f0^i~Suy?p&kx}KDl(_$v}IF1!8hDD zL`B5E|32b_aDUM4I#BqqJQga|eF|sR;-F{B=aA;VB+yTFyx8uJHUV6@^%ZHl=sAjau8^Luk(nPg_mGK~2c8utX|11YeO@4R+>C>_4d`y%1{Sk6?- zGsj1Tz92F&8}aR86bPA9(|JCPgJzk}bRwZiVBGcYnj4l&u4nqhf+I8@vgw1owpS9N zQ|~PK@GAE6C|7URCd9xrpTE#rQ8eUQ>PiG;1Q7YKc#asJH}St-ANO^QJ3ITU@1?-S zrqB9S0%<_%JIp*UCJgGYn`;EqJb*<`o0p!-4NdC}OWYpCIOJTUy?;k01h!3TzvPOC zk8Q4GG#@g6{ATBr^V4K_R43U%RY*8Zsf8!1z@ z4l&C^&wt}LVF9`g6blo4>V~V;iD0*BfTQx=yNj7Xr9J(#OfnVXIBx&ai%fy`MG~F9T?CfDcCD=F zQU)-sUCx?iApvivkcIw2DtzORPUcjM0fx5C+je#?0EM!99RC<&fuq*aVQ+_ zMX##nB_%;&d$wdXmM^ZhbzOYb$prF_RJ|$v5D!P*#K&%IM1%XgSCPRL8Cb5xQJNL{ z6u7FNu3c&v2R`M~)XssHFmcecP4Jp0G4j>ro))ll1KPD6r+9fH;ig^+1Kl$}5QrZQ zJKAcCSlE+A71HA2X%s`=ux%QA3e-MfSDuNTb1ry7Y5~hbl%K8~U5ka-Mt+}1w%M?! zidXJ9TM7*RIyyP`+YgjX(jM;pN2X;L;rWHl#-P?|J#~(vkL>&mHo0c=a&4hEE0Y7eqloE9n zm@oFtCJ)QYbV+$Ji{;jIto1stq=&=xO@ZBAkHU#M$94Aly$jDXRj~J#+t>5B^?Zna zZ7!WW8*OF-pKf?`9{HY3Jm2e{5X1=KaM_DB#Ev6^=nK40xEZeW#NWVjIsVi2Jv4)M z54Q4we>KD{UFKVtLtL z9QWB*s6`R|L+L?v_A8d3Fx9N7_Vr;n2rMOPw6*6#gSqd@JvtsViAAYu*v5mlj`)KR zbt~AqeRbk{fg5t7ko3$OG=~15$cWBW%(t(fThl)6fyB#RyfU!LAnH4U`ze*&IHt>g zJr)W!`wO1uPG)ap$UIvSKv6HdAvsSDOlT$*mX0z13i- zt;YS7dOVm`l_n|LMZ)s4lP{AlW`JCAb(~8&mTU80|4}A$av6MzhDO)-leaNn>)Dc} zHLXbk1+9}S&-Nz6K1z}B7R-0XNN&+ioX;n6E-AV{+wE(Jf}LA6%{2uPkTN37GJPO} z(2bNtk*`;2!{JfH8>(z9&+(kZ@w!b+w{Q;Ub~uLx{fq;*s%^7VcZ6WjbV5b$a{?qy zO>7C$I3m~Xmd6ZM(ZDRqCdA;aie}~lLk%S|30=l{b!R^ zcx)zMxf%(X`!N4p%69!vl36xP6+JrXwhzmFzR>9qh~?hny#7=~dTwwp1LRGaOv>fs z;LUf=RPo1I1fS+lmLy~adZCP>q?YJAi0||cPx}Wb^G3|uC=R0gtQ@nqi2^RlU z9exSA!TG)yUqNa^e=z2vZig6Cv~wi5vWFRk?#&{6k&#(|^UJpd;7S{^F6ov-_@Zlv>unh_(+NL-`zza{cK3ZI z@(8}+zF|GLT_WGY6XE`#!sz+qKA(6vVSJAfAmkC zFAXfbN3E^BATBwfcW5Td=?H*CEvPCJ;7;_vrE_1QPkMc#hcrdVPGp z4)=AlX9cDCq%z6y1%w33FKVlUy_88yh5uVl8d1jqWhS36L zNg?|{u-Yp3czIS56=lqv)+$MX&0)VSVQv!0dYBo;P^Q7j3$=wqQB^4TI!@N{6d2eLXZZEr4MMi7JfrvPz$jggUb<-lJS{l1CT$%L_U5m%xoNXucJj~k zRf9C>;@s+?$Vmk8ORQ02fi@7$X3GUbuEa?9!eMseJ(goOG=I`)B^*kBr!{P`OrsXqdrNuVO?{^RbckTFE?TxHL6?AP$xAFJ^T*4bQ8^v4P?%kzg9tw&ELH&tCO%6v__mN z^-g^v?u5UiX0sTcC-Xwm@B5~&Ct>^dm<`sp9K(tFyfI?-;rxOYkZ9U9lao>)H+1yI zY;qn*(6f%)VLsoZ$@ejrX&%TLaE!RT)Wio+t1-R5-;6f|9VXA%&C!ghVB?ZKY2Tl1n+!VVHRNc10SXiI>Tr^i2( zE=NQ0E*lNq_-H6q42yraJD<>xC>iZ*doGc{fXodN2Ekwl&2I_qsWy?h6TMTwz#jw5nM;iFm#ak4dv_7U59;@K|~uR&RJ;;Cc+!OTX4BMSAk#_2X}Ot#c<)1{WV3+MfWkie)dU ztXzRXn&ROpOQaV(7(j)Ie^%}+eCvY__s`jF@aXQKa%{9fjh(Z|C`+9{(uSnjxDhH`pM zWDY3FZsrsmPl1)PGn#*|WP!>3Ry#5ELV`~-$(M&eVmYseoLz#rBts$SuXxrLdnTb9 zj!oL{$WKPVxqk*Ni(Zi+%5ZDQ=5s2+VXw}8@zwpuYM+b&n=?&{ zTc11;`>w)pv;DEKpY*8n`j9Ca*SJCc^Gp_@%Q&y@*sUGLmmyCV`5@86IA_T-YpsoHO$>93+-mW_`O-2wpeRywUk~DH9gooRh3{O$3pz z^rv29-<5Da)wx|>nd=KfeE<48UP~o_&ebbSbVHFa6->9i{XUG)VVsA!KXB6PNnw=H z0-S?5=V*j?Fr?ZgfZoc^cFquEg1z7<^zSL&AC%8p+Gwt zoVT764L4*H^tv&g+?g;&*-8|oeavzx^t)(9jKv?mqR>NE`{FDwNZkGN{nBeG&<#w zP&SdX))6%J!2Ht#N%Zg7T6m@uEhsJ3C3TiAcidptj&X000k_7%82V`$@U8JQI&e;% z$cO!3uaAF+#pmmAU#CuQeWk=p6I{4bzKZgwgXkW~;=Ntk;F#6%AuV4CiOM-`%yMa? z)h{CM{hrn+OHl3-D1>yQ})Kq$uo3GdJIJ_Y@e%o_#IMaT%HOwSA*ty@uj=>ADV* z$snVkLv3RA=aA7Mp7f!IvY0R74%x>k0}`qGRIeDA1RfOH{WOTr;xSSZvu^J!HPQs1={GN{S}kl)|c#dr>A z?Q%NvUr~U0)bJ&b8%rJKq3etVa^h(B+Q-VB34+*r_4Tc%O)8MWEcQUxUK_I6D84$e zpM=DNk8%_@H9_}W+S8F$F61`!k&YU>ufrlY1pTRW;P<2TLn8kAaFF(~n?fPbH**)_=P5@QI|t=;1k$(NzFNXgN4FEhgH(_-o42cJYU5C{t9 z(Z~^mu0tVBg#nl0SN+>>#sx#j?8r~I>k>&K8lgCp6yE6681vSnYLDtJ8U-#uyj zz2l1g@8_eEdgzwb_rs;{PeSOcfFMm-A!sm?qGqzZ3^}`36K#j?lZj%u3BKpA?8Xu+S-@ zW3|TqoLcvRM%4)Lx_XhwFd*Ts30f|Zn>pXrK@=`+vR&p4vs(Y9)BDu3dXIcTfIKL z>QMKax|utz3~pqa4B-r#zhTfXFx9%O-xxu zt>ZEZ4ZP6azjP59KXjK1JRyZfLie*}Ur~XK7Da=IwQGn^Zh2C=OqSr&8#T&A^#DEC zS@`0c;<5=ma#7jxr_v;JW317cCWO6<0)S?sxrul$G?N{Oihn*O&JvX|d2*z_s zq^crrP_907;w%ixxz;}<9N&72pz#O0wva1iI*F{9vr2^n(Wurw>BI-pMQ7w00*+1}V!z9v^rgTe7_ z^0|I(!1dhY8uivGSw*yCLNVxzkPt{$t5LZkJ;1q)>+vo+dp65HHNg3e>%Ov%wH*CN zKtFYSED~n`vD_-`X8oy)oP_+Qr$od-X3#3^sF49Mwq`ghKOX47xszGp)aXK{jA9ch zXK4KXNTrG9@!wujM@?+qH>Jo~;ZKlKM;*gH!WXf2=Q}SwR0H41?~gV*e@fxL=v$aN z1^K2n;RkSk^;k1VYUk!QOG+{T+#hf@D8yTE6ze!*J6@@{`#weY>* z3WIB7{G#!8kR`lV(7eqVY=2lw^v1Zs-z((nUTKWbCZ43zV;&4P=^Z^B4gs(;Wx>Nt z+a1W_!u}a_d%{f$g%;CeTF^~*I^8Hz7Y6)jRB1RYVbgTXhb+q#veLBQ@Tt4Oy$JQr zXaNVX@VR*^+S?T zy8N3h;nty#i#yrfiQM7;_4@eteS97mpRdDx-3413?y1w(z)i9KA@b;Dq(|m+>$ZUh zd|$inV`$|KELQKFsJ|FN3>)vzs|HW#Ho2X@DQ61`a@M=VjyOY65l;w(zZ-Pq>a7}& zhrw9O9T~k3S5OM=PLADqzM$aM^ER%}AEHCwwQnlIcBF)4I9Rn(q&(qg@Pnrtxqi^gxN*)b&<8Gd6^gl< zdc$CbFALF1?GQ)(U`4b}_N?!=4~D z@Uc{c${kq31ma25A@Ea%(dKNKCtRl+IMRCF8cNoG#fF~ngbm$u5xsl-VMX*x34^g8 zJeB2^-k;?HwnGQsF2DAHSU2sYJ%7D`Yi2>y>q;m*rt`6&mNN(M+VFs*t?tCg<9LPD z!PgJu(U+(5>sk;(-o9rtL4=sU8}%E>uIA=M7u;k1ZH+P4^A91lTGJiI7t!3qUy3{pDJ#=I| z`N(ymU(d?#w2VxZAntb!B1A@`{NPocP)=%j5R@^$|KR6H33W@4^rW%p@v3@=o${hL zc)c+-Tw$_?s9s=aRoBrAXYPQYHwvfA8H2w{)WC{xa&mJIj*yn zN_!SfPI-Z4QHv=>lLpbRhRK`R7GeL|@>2 zA`nglfvs3|}1H|>ZLYPmimMt<-z_zll4ojn^4u}!g>udI~NYU%Sj zHnBjWzQ6o@O?MyDi`MrW&-wDbA;{IvfQQeG-~g^SxZb|3W4?J>!wSNh#IJs#bb^Tr z@;a+k4|vTok$!DT5z2DIWG#)|fs($R>q(d$@IEO~*-POCbV4RU?rZu)|II%xD6g8f zfw38<({azh$Tcq{QEL%{}c5v9BGt8O_}Z4vX@meZN1tLH~<`Rg;U{ za3GD_ks9Mz6<2 zqZF>^s%NzS8g%-D6nAK6CX)v=^kqz0$run^#`QS-?>&m;N-KijxbELGLKecou8{50 z);etB1C5*{*AONikZXKR7I?%3+MUZrKCwE%ho+;yl*e}x+)3=bl=gsD4T6*1zZHEC zg^2HCRkkfU*g6o_q||3tu$(@+XKpQk@I`*GHvIHQI1HTlU{tdjLii##3UTIgeJ{cf z;Qs38mE4ukXJG{2aNiKK^6d4pn=-=v!N#QSeeItPh_;P}R*=O5nf?x?R*|JvO~Z{$KUtq%_N zMSE!c6Xz#A(QJsw5pHDtyjUICxi#@~PNKG~9MoviA!hx?yDvZjRjBf0*o z7pww9k?56r<)M`zG~!ABRJuI`eJM(JX-^MEE6WVOeB?vXH@m2gVYd*(78uJoP>lU~ z+v7-Gvm2Z^i9E~|LJ?`suv>c~4Bg9uWRol5=-_;rq*z@j+WFc(lcX1lx(tFWFIR@4 z?LCg#4D!yz*jaK;Owqvr@Uc;Tt|mOs9x)c*HTZJh6)8o%s=M*P5oKuA`aS*QfzHFe zbGxZLkOsBCNz_XVRH^WM`k~u-wAfx_o9*a=BwBvF%~N4>&wwSPr_Z$ zFjtR3`g=V@K5pW0lS@J}2C9!ihuC7R9^3mzSTtlSNODajw^hA&BcJGcJ z^+HQeOTUZNx}d*FDPMX%x}n?O)YA$}S1g zi%z(r`;-%3b&s=wO;pUmU3VPNk26|)Y8UKK7S~_L8#UgjzKu!JJzgB%=_&>7J12zj z@zY~+q3RMdG&_G_Gj*RM+!s5a<$}E*;PZEtN3P8+PC3H)!=@i=0b8j&$6kcCrqB-|CEjSDc-WP()DFU8{K(sfb`Uz~oBXiXj^+RK?%=!h z*xqDsgx7(yvqdG< zRNZ^(M)U>VCo?a`*N$q*5xV}Af{vSO!Ux6e2s=yG9ZcvGz3PJN2)8+6JGz_g!y#iN zac^j==5Q#w=N>i9-*1CrL&xv(=hz^}pSr(`T>r0sD$bEJiVdiv=e;M);9i)NZ{S#I9C08_i zpPTOODQh@cEG4;o&+h-~n_Fg=jG_;UKBKma$50EI6~xmhWBQ770M{E_Z}$fLdQ!y| zj8rrYcg+_XBl@|Efi@eSD0@;`CbI83q~-AjzD>49?kZ&4=`#Y~-MBnjdzXh2C+7=XWddL)rq7S|y3&;y0 z_!QJh|D*N1KJtp)<(hOr8dQ`UzHZ%cC3NHU@d^&w@0w_FhZtOTv_;g0eu`WFA_g3`CQ!4S02u(cQ-r;J{1SD9g7$A!S;{H`sr|Db(h=R zbdt&j9SxW&*l@KZbQtF$?ho`iueTI+=o1{oITyXSzL2+Ni@Z z88Jyl>JSv=7QPvN-wJR&U*GX%_F!Kq3aOb8WNdIn!-=%w{+DzC=Q6Ix)OCEh+`+O0 zzj57HSUYmRrP&i{$>okUk^+zq<*l|#KRaY+4Jkc}wrGs{Lzw$<5yW%)>&U%%0B zpb)|rou7BxpK%K7xBvVA?ytx$Xr@T(1`~Y4eFO7da-dvy1>7Gbv~=fO&q)H`(Q20N ztEphRLZKRqY=x}P*}pNt02WtYP;nc)yj&qC8slnnX{iBmdnlR^D! zuZr`JG*Fy7%NLoN3g^D)ezzXL{(U!H$C8*-7`HsadW|&&j(JJ`@Oqg5&YNhmeLMk5 z{8`+8D29T-^>z4nSbV+?_jM8H z6>GB}lc4HMgG7U5KGvH(4SV76&}&$|Yx*)5W8DonWO848|~uS0wylc9m^M2`-u8!Soaem#5QAe?h}x4xm3 z0NsC<9PVeqi|+?0DZxI`O;^1n`pK3?MoJN70(p95<;tEd&ENPRqhzR!ag@3t#8 z2hY1gUHI!T+4d;l6u%eKGv);wOOino7Ve0*ckNjGP$FblUOgz}nT73(OL;1^KM$hy z15_;nV<9y@Y5!k`M7WgloYVMD0erZ+a`e)^bQs{t<)hW~gV@d4Kvm&XVCLgh)|@7R z`tM(|%-H%@fhS4PC!C_e=l3ML@vT&#)cEyM;$zehB41|KRP79?x8y?u*4%1qUS^V#fLw zug^y#FI>NUG=ejX!sDO#)8O@hGTW_*B1miqvo#sb0{6Upvd-cnXe!t;TQdRh-gw?^ z+;9$VY@23XdhSK^>nS~p@yY4{;(kj-ul_t;MS{AOlV89-7v#0M_FC45qwaRHLSv^4 z;D4?+_wisJa2ue7W7(ZxS_`$JPT`7bFg@>lz zR&tkuy)3)SUCIdH_Zqr9Sda|tE~g6RK9k_syh4m#EM80ph1N8@^ zi8{x1mP0ny)-68^qQ6XbDg}fQ{d#F5eWtn72g2u=Yp*l?-}Ch-{1!+q91fGE*OTS+ zvHfiS^#$H1Tp4`7U%L7bx*l<`wdEFF2^c>k1%%uzAoMBzX;_goMJ7o5zi7M@7Ym;0 zu4O47ib4FX?`dh?XyDLGpAB4$1I5+xo_?=1qJL^?`WAf_JRmPfdH>>xDA-V+r(4)A zhSS}}PtV-pLKf*#{uO;GAoBLyJP*GY%+K?j)3)|Uy$u4&A!l@eU!daTlyd?6xnS0I zYQHb4t~<6kEtpBvw^Ym`$Xk%WEORZVfjb_K4}Wejrq3Zbfa?vew@(#1H@I~&piS3L zXW2X!5>E2In);XtGv|}8m)3KDb*rp_Iku0QQjX)npZoC;eva+ud#79ol{J3zU<8{_ z{jdMR+#XhQd&R=Y+u85{=O`HXPH_hA6#yyh=EWAabf9{0&(bb53oie-FQERagy7Rs z$&-zwbZp-|N&dpp{RoI>-)IhjOhPw`N9yUmdW6F8`N0>awUNM+jiBMe9wzg~0k{mzBpF2o>kBnn=C|G2hj znNINf>bX*yq3}%5JFXp3h3TfC%!*DvO&-A~RoihF?xAp0Pe-#+)fxwml)GJgP2yqv ztFK$GNi?CuI1h1uF#7Vqf>D_~!9kpJg&PYT8)B(&u?|S=GzP@?GMtMzXXP0~Q{IV| zz=b>a2C5nD5w7Pqex2fzb|{47pWJ0XJW0joz568tF4z%V#`W02cBnPnIE3IguKSV{ ztQ2$^*trIjA~ej-d7x5J+k3gq2XrkTQrhlF1mgz_5q3sFz)2DNGUgL6!5z!D&jt^F z3W9|*52wQRm%tqtk*=nVP{`;W?as`LghIPq9yaXU1l$*`vYw9Pmn{YPMjqA@lVZXb zY5X-+d{&-I_yOEsjePCCKyO(>@D2A3)tI$@ zcW1ObbHF6r!R6I(9_(8~6@PMbfa?tH{Q2F5a3b7YOz%x1%w4QAEwm{E&*LM5C)bMM zPoOYg9eECT?=-%cezXVwR39g+(gB@%^zmCs z7Bro)3N*LOgxz8PKfl#_{p~g0j~QUP^&dN^q%kRh z92&h?QH5NHN#J_Zvr!D|RNvAhE@115^Zz|53@d=g)ZE|Oeiguan}WmILOBR&6{|cJ z4MU0zq6;5QOQ1bj7;)#7f?=^}f^kDB+$cV8@^P>XEPao<)X$Va;7mc$sCXHKCIzOJ zpGqUfj$!tSKr4BKkGsPz-*aY3gY!3#9Bp$ZWc8P(S0pFFbk!n*`?E}Jz4c(3iYm6> z+r7z5C^j6v?(^O`B6|@+OjQPJ{$;`;>Na*Wmm;tW>nWgC$b`PO^t=Q0neenwg)I=< z|J*bF_}}-}xzJ{EQJIUS2;=0_J)E1^zF%pX6>Xy=P-^Vy9jeO!9hz8sZIdi8RQvbD z>tYhHp78#X@dVo^`HE>nO)(GL#i`W(Ve633OdG6aVDA-16CcMsuziw?ry9?``$~a!y9O;=AC{d(M&3DP*W^;*o~;lauSqH>YNc@V zHWUD}<{7f#a?BsJJ$*8Yy=R2h^SC`=c7Ugy{Z#LrJc&{Hf4-#L3>Oq@Bp2q+HO)9hYz+cJNE3D^DaSu5UHZ>x1djl{SWXC~5lz(RTiJP~vZo5r7x3xu zXY4(WD(qqQ=DsqhdGI^v###=Dr#}6py;=%%wh!;F2FgIym3H5LA7)^kKQw4@*_Y_o z2&>2SHOyhe{n{j$PbN(`qh3U^{S&A{P&v~HiDxe^LAQ#vozck2Ero*n=7KNvsW8hcmfI!D75;$!O=<0tB zgh6Q=D--M-f_+Q!(^iYl$m~wd(Iel(2_5uNYq{1OfW4>ur*{W#?LN`$l26ouT(lhq{gswNn9>2%$Q3j>E-#b>Vl@R)5{T-V38IvG!Y54Z=u|$x2<4PotP*m+74JMTYMA`$(=W2hmdcf%LFnCu_E+{Vt2QBzscepm)^e4Z`N zVSK1?m(6W^zH}HhZh4($9tihMf?qJb!MN0VUn$LB3%;Io&l;63fhM8HEM@aSC~owX zZn!9RZq$GEZ5mwT%XuAJhu+f$wgT9Dto6Xfc8x-U1GwJcdfWXmFN2Xf2i$HXF22Y} z0CoEOXBja$FsXj%@9h<7lssU+w4jy_Qg6f`FCI>T7PrQ6A zTSR{nq>^&Srb6Pu$T{H@^JWRy2OZf#J)H^dWk*P?0(lV2$kA@!Qcm!RI$XZer7;d@ z8g9j2d=d%zgGMEbjo5qsf4YHM_wANYjsU%~?`I8GVxjgu{k40O*#w94XtSdlvESE) zl=oS(_7_lVLC@chGf7Yz$sWZg9f(q1?Tj#w#r7-akri*ZSfWLtxXp(f`GhXxymHFx zvL&gc0qZYw-PF&Hz+x}9TUZEt58qP0H;=9B|5_}mChA`V5mh&~`u@g1_1WpDtX}MV zqW^e}SW|}AGqd5|zBg3om9TTv48=OPz7!IC+QmJ(p?$FG?s`oR= zQ2HvuVT3H6&|#d1xIdtjIFeFTt4?qb=iGsBuWzZ}O9z`-vG-~(ED_FMoQpVTxpsQ2 zyjaCJ>B(>>Y0w?vdTuOmR$4T>6l#KI1`PW!f0LsVC419~;4-eq&sm2@LwUmpe&f2Y zVa|}R_%8$YC0w6M5-5hTurQ{cVmv-tc{VRw3`M4;C=rY0= zEsOH5@BCdv_yOEs{qmOU@nJ6~_=fw2EQHoB1r_XqR03lIJdiUxAs5fibXM5vP( zj@5dDy;l~z`MbLw>!+ECmdn__bWx8RoJmUA@MgC6>kHddxWrjSs)Y_s;4&tS~;7mOSbEshJ2<@qabx?}kIk75C&K7M{3e$ENL9~NJCiLbB2zr*75b-1q+ zY`f=tHY^7M4A<&SZs&lb%P}=8${dhNGY#Xl!}bTB+`Mg`kPSVZUT?e8bK$y-!QfnZ zI3k7KFx`JR2X0AHOAY(yL4ST$_Vwra;8E6Yr-Sib<9$r^y`Wr3Xx&*r^CSw&7{h~8Le7HQZ;Y2jZI8Hr@$_i15b{~Cqr`Uw;ykW{oq%@J6G?%5GbxmT4l!0 zH&KXwAlv5a4#iygMSrN{K$-IK@$x)#ICkRd8&&Lklfz>F3mv8q*sC|+^Y~;uY)01H ztNNS;-)n7a_IIU1p7(H9+s*_Cw$}-ins$VuH>2dAyRmiF|Bb2n6mm9-(x@P~vLfw) z2dHlANShwxM|9QqD#w_7vG11wriJmrAl#SotD`R&WS^R|7`)5?-XMjIx@|wm`Tfi? z0$W#EIxVqhq9qglotqZg&6NO@G@8jmm4eW4;F9=ruMk*YnA7aT_PecZ?-xtH6$cZN zIoLui8>rh!Cl*zJol~dms@WbD2|Ntf?(|{%W7z^5_MM>@0u8rsvRkw+#Mm|)(@bL! z0m}m-zURk+QSCPt9!-Z3!rxsrJO6N~KLV{9j zh<<&(#5*#6FpRigqtaci54Y-hJ{G#nQG#qjcw8w{z@Q=LJ-f52RroHUCTMBN=7JhGJpy*Kwuq@N7L z?)9c-)|^5*%zrp|bciucUoVHiJIAB(yv@dGfZqc?AHCx{(EGo3M(Cvo@(ac9RW}XY z&8A&3AkN}+@Z+c+i0KE_+!BicfhhBF3C=L$p5r*{)}Qc!4b4%TzO*ABvI{5THD2tZ zgU)_**J;|-3t7leIlM4n{9*18xe5zzohw|OCSCMyk`uehW$Abpb4s(M`v zs^6}6Upx^~5d~q2y%_&sHt^J%C5Lc35b@XVZ$tg1EEaZF{C3C>ih`2OfN9~@9Js6f zZfgVb@iMf1r#Y6H0ikCu%1=*`34R(ikz73N;RVk$ZdrT!nt{RSlm~-zB7qy;9=|`n zeB=ptzD>l%R0Y9|#r*NjToS>_T_qkH+IqC%~=@~b_3i(6& zcg2@yd(vU=E;Ho{?{p|pP@Ab%@P%e;F}oj?$amo%U$;(71qn8x_iV|4RK-*r@T+iL za{rx1@KdvV?F>Cj5*DMQEYb2Y4z_MR8_LKL2`zUQ%YySG2pq=w5YG=Jul76|{$WP& zAkK4|PkV}=BA-EP#-TBrb$1NsUz`_lo_+7B@Imb=8S*bh-4m?MwTUL*xT^eq|&{$K>@O zhu}9nZ|G6yv&meE!0^04PcFE>J(~pi4V1YtOX)DBqBKB$ngf_&teDPM^yl)sBv3el z{<}As>mC^8gXlrq-b2W@tKa2L_>xN*w31mk=Z=-YHEQ+pE@3iMXNq{m`V~UsF9$06 zz44&8a_W^ANv z-=TXZuH2Rsdw~Rj0e)dEjA>v%z0v#TRVs)VpRs1*iG%{x7KYnSQOJia%yt6#A6_=n z@D!Bw`ky}^_e;cmb@2IXd`<_~bK-q}ygrP-Bk=o{ov(5C&-M}!{Cr2`Ln5kAXuXk& zM1D0%ZN+Eh=n7!hx#r;U&tb6g`gsY@-7|3Dwd9Es?<}xu zlQsX*Q3StAIwV@7GGUEDwvOgwChSVMeKmL^5&SJg7JM`EVMEdDN8B3fA2-D2NTBz% z*YxExzwFZBiUNIZb$dDp9mPgTv67=l{>VtmOF(1f{%Y)}?SE$Xh zir^|m;ZACDCR7ZoE9^^100pMV*7IMIpjI`abX5Y?mz|g?dNtGGZrh)N?@?LcGeDZ~ z$Fd>N_jVs6@+Tg8#OZ$l=?mPY_h)h;T%CT^V!9_L0v=Z;es}zh{8B;%iZZf%;MzmV zt5(_Dv3)3%i)m6IVqh0mTm*eY@Sc zuzuohpmcQ+Fpa8g4SSIYh8_~}4WcASWHfE1RP3$mHv0G z*%x1kx?#*=E_KgI!N!&|6Pzy)BuovG_lK6ra5p{p%w9uuBw@)j6i| z5aC^^Ie~nH@%wq!m8|;5$_21T;H40Zd>UofI}e;F1Ksb8L;t5k@Xc6e|H51bB2*0O z2eXvmhd;-gw_jyPD)xPO4;`?GtlFcFq^1-JgFUqm55LjtqXUz({)U!7YToi+t(sz~<__6)6 z-Ph;ua^ZdG30H%u3gFsx_^2pz6kK-*o9;(-U<$p2b-DBTK(iX^A~b`1r59@VuA=(q z0TQp2fI=*&OnYvPXUT?T{?`toyb*AiB2h5%Yd&P16QY-Eo5B41yRcb9@+@>CJ`%9&@pD?%a%3Jzt~wcQPXO|DO2 zfeq+A(Hs{+pBG2ma~x-fgRQC7O36T#;?kkGi1PY>@w&JC5ruxeKaAa1<6O%4@Aq|( zFi!kg7XwAZ7i-7Tl8Cs#<0RfU!tPW7dKdr0b*)_zo7=L>;l`c?@+Kdu!~Vmk{4dQk zJUqFudiUw03gj1*HW>7BV7UyA=f4JvMmd04&zrMg+?JZN75sEp+^=dqv zwt#KD^?g%vrBKF9fA(od5N2)BzigmGChm9FL!;Z9Px8RdxVP(xW-6qKlaM<8;e&UGo(9F5*`3(kd4sSMU60d@To$PE^k@T4#Xw8_0UZodzK> zQf^Kwh2Vc%dc$Cxho?=Lz!rR5-TsXW(^7F~Lt}GZ&rG?W3?v zos#LWfD}l-8+O+!G6h6cznYaZA-}1AIE?clo*&Rf%QHTEp+@i^&T|~@_m8jTpgq#% zYxzlG#u(1OI4|NnJF;)M?d0upupjuG9AbPK!|^;>XY0ko!liIl=&S9iov1I>nW1bm z;6d;*j>n!3zg7EJBZ;~Uj{8rRM~{`-XF&1ph}MtqiXox6?vx!x5EOiy5_rgp-hI3Z zE~c8{@H4)Mt#wX};2qwZR^P8Hqj@5l>+D7wWnll?;C+Ey6g(maE@b=1!4mh7+s=}F zA}`|c`u^1YX9YA*w^K>^ml1i>?K7i*}z4A-}Wd-E~zu|dvbu)m|JQPKEeOah~4snP8sZ?zgXy4AQ$&-s;jJADy=7SJ7v4!F7Db ztI-JkdlXCJ{ILZPu&z2zZAXT|aAwH^+mTP4Kwgr-IvE7oQopPwCxM%>N38u=Bs9G= zmU!Ng24$=vcXO3ep#9{YsS^)S-N);}kHggIaOw!l$VhP-=x>QjW(Z1!A<2=sQ;n&> zk#f~j=T|%^{mP%BMsr#=RTztIsMO{kMEnn zeTi}ZI((iQpNGZunYg|V@5AEn0z9vilwPV!Xdpv2lg5D}Bi@9ypBHYN`(--3Ft;#TO6bK(&TGIuO;{ zCTjx+Qh7;``$}K&CT$pe@eX>uRG|-IoqGi6gHu4v?9ub5XHi`QIXifoB*E3>Z5x6w4-2E@5-dlC(T zIUkkv`O<;PH1R;m4?nbbfUFQ7lLWVBifx5|T?UGy>k@)dM%ePVRj)VZQE;JaSh`OG z>GnFTcC#S;PAD3RwoXk4)nBhj!>I3LU#_zL`@S3D{oTW&Tqs@+q~XrfVR^wLE3MuPT_R-}TjEK8okVu}y;qooDqTL9?>m@}hY-aX&vDDSdtO zsSQ?DwOgwL=^5L~_6ujc$pgRZ2A}_&MEc4AtSR(<9{jB;dNz`*1p0x0Q}6#&!|F67 zDfN<^iFoA*)T-euM7r63-&c{fTAQ^m9m@9zd`#b#15GhnoDW9guw{K2tDtAe@K?*6 z^z(c!cq@;Jc_Tfi)xsCEYpDKrX?byPat-qDKHYT6!Y-e{kJH@Ss=h^MgRoVi{7)^qdT{x{Edgt);B-$R|cT@^=EJ9 zh0-C;@XoHDQd`)Yb42-TXeJoi?X6|b@WvVxrUN8%JqR2OGxiCM=tBP9|L{)VibE$1 z<)QdJaQw&@-;Vk_0gi9zgL8|Cd!<38uEo7A8N^$3rp9V);O-@X^G{Y#ow{NNheb>z zanEs_ZR-6yby+wYPzF?+eRCslT}l6$PsDsK_?SHzQ0PGY#eeuzSs)voV4VbmM+%36Z-vA4 z6M=JXw+cY>TYrlO@|P~J(XV1ee$yGCZfAK5`C$HwpChMdV!tza!@i!iXJYf=(Dj;6 zI1%}PbzhI7wM`Vnf{emC$F8FNE%IWdIgfDIcTTXR%RdY=UQ`+U7S0DW((5Nf8M2`x zH~x4`P#`w6tsN`-okHAirF+bMd2E@Wd1B2sLm1U(_ta=Stj#5O0LL2~Z|4VZhZYrO z!ws^h>erie_J?Sak{ODfjd7(6HKN+I=w=LYJmKIY^#7zBR>x3C%?$qX^?(=rPRO2GqahKvp&b6eZHP7i62By9hBZV$tj_7yjzbv)5BC|q zdB&fFbdGQ8LhT!+v31_iPX>yiP%GBS;&dwny9qC9D5GOQ_+X(P-LM-Lc~j!X7wSv` zmvO!-q~~eYMtfi8o_kD-UiSoYiPlFw;V7tOG4E_gdMWe!WnV&;vOpEPO7)yI3`DNd z3pO52B>1`=JM0@$nhLv47%VM>CBlNev=-MY(*OM9C&`abN2ns=vBBitq~l1(DA;`L zy+~jTP_l4jn|z5Pa2V%9JU_Vp#4K2Chatg(IM4M&pH2x*N&vO%?C;qUT`-(~abCoE zHrz7K<=Djn7?TeE&T`iW!}0txw@>?h{Q~&$Y&4W_Fc~h1@+xEvieor0<9K{3UiWW- zJnF;$>$l;!pFgd-OHelr4oakbOG5p)SrL}um0jTwZ}@WDmN^zopYtd3O}K;f_KI|& z9wCBvOzF4F?m=~S(p7z1`LY7oBe2El!Ehv)scmsP6BP;DKkL$^-^eENqU;%p>e)vH zU}*4=`;>M8kr#CbZXVi!;u6mX@cb%>@2%pvB>KMp_zlk+4ltTgFCUD=@ciJG!H4jk z$pkc~zCR*~f&}kauN2Q-Mg3N;ciRg`^5F0-vwhvlNLTU7pUH`w4;+V2+*S@i|DF?* z^4`;hz;Z+UG|wa%j(yqRdDSEXVzR!T4S_sxa-nS;ME&V6--1-N{i4C(I(O!a?TF{Z zn`mrrrvYQ&O9kGRbm%FcJ(e_!bkt#I0@}M#y*)H<&*yX!XzhM#&4Tti{nYAwYJWZn z?mJ|&zMDezpJ&&&Z)*p@%-1Rg!^^&4%vw8;D~I&EWKNsoT#oNjO( z{vMA2*?O9w=y+8)f3ahW=tG2~>#t~1t8zffNqs0ICK=?El3(3Md&^W>S}jRvA3&jm z!i*FT>c>m3GV#kG!!A{C#Zc7$wzTY_M7sNI(Xsj!5|nB-&1kg+ zg61vfoRYDI36{{&=43)V`G_``1bIPdQF=b`7} zTbVmSL6~4tm)j$xqvo@bz7V~Z4mTAvTCNx80F#;EVdHa=sP8*!J>Aw z@8a`ecUj^-CU2y#Sh(Ex$uA#1%BcsJMJYk=<>ekl0bPvM@zA2NiUSd^uFVxQPPJjg z_Z>Ik+qE0%;&z<+xvwLV41WT)r7QL&U`K49(KlX5gaIZ9w39|Y?P5~c>LH{PdgAxz z*m^h&hYuF%u*Ac{t~HOgx;z3u-s+oAY&;;tl3MR`(WZQGdrC^r7mWq`p>);lN7Lct z3v64NeJ0FlirPlqLiNwI-uS(CaiF(WI5RdM4Dvd)Y^Mv-;lhUX#t`3m=(v(!NgO0`D+yV-g+OSApLHW3mXXq(c_$Nn(4Qbg7uQ zSNb{aL&-*o5E>Ejt~TTn*d<-MVr3WyhhF5KI3*cF+;bdfElz3t8Am$k_1MpKG=~4h zE7Ck>C!)N|_L$1)V~-<<-&bzK=BN2BKX4ss)5(}iA>sm$le}MlPd+z7zP+d?6c=7jQL~Y)c^Gzc-9?K11o~D_m!dCHDahP@b7+C~=qG^Lxu!_^9I_Dx2zsv8>(ev`ok#a2e;T=Lg#SYz7gou%?#% zKIIP=d1I*6W6<8P;99|~nH;zwyys9N+OH?W#lLu=HU!NX72TkSizE2D=w>=y<3bA1 z>0KSx`H=)&iPB47e2ifYI*aJ`d^h3=NS94wiH_IRAhs%t~~*JXx*Dvd}2hjBi{ z^8-ckt{`^rO9T(%Jck9;uBzXT2XX43qFXB8Kx})o!O?5s{7*$Z&)&^rZ zp8pb^?DFg>1jc%PWSf}+h4V2+=UmM(oR@Jt?p)7!xm)oHp`*fa-^7}ZFT;j}baj-; z*>z+n5;?JtJ3a#1LUJ2l%A+}`F}rBC-|lc@wEwsIBtOAB)RfODWWPs3oy(ts_}oIc zo+PR0Efo#7_fls$YNGv;$u8gYQM}=Kk(dc-#AqGOXWngGvDQR;%Kqg=-4^QRnV<8C zd;rg{BI~Vk*-g+p>mR@2d4peDEY1zZEf2Kyj|2sy?=a&d$&jOy&f>3_48D(3{VRh);99A~ zia|NQy*zCwJj4eo!A`()yNO8DG8KA(l_cyYZ4-WR~% zk2ubBTu(9gJe~(<&)rV2xLyJ}RC&Yk?GYFiEz_f@sRCHgKI0?8Qw$<@BZaHk#lV{N zrh6M(3H(0o|0uhp5GEM@s1CkC|9pPui+Hr(4L`p;N)`To(GI3PO3X1I~9?>vSCAN$68w?1m7*Qak`TU=QCt?bxM;#{1lb_lR*-6 z%!EC@#fx-AA)INIr6ibIrC_e)&H#oZ{VeA$B!IMT=m`p>0~gM7-L;=18={mi46dk< zL1^pH*V^$k5U@SCY@QVfOHNlVRv^9KZ{_%7{KY9SV4?pm1ofNC2PiAuXwd!vWm&Vk z92vl4`--o4DgrjjPBL8Ei}q1$6mJz3%7j7c$*W0mAwb=6@HY?ITf3M~%}#i(65?LztE;EKwVapuxwkkGV#`Q%G399)yXefn(%Xl}RD`|~Cl?e}7Epz?AA z5+`-cDUv;L9=}iLUSePc&-Gg4ztKd%PUq9|zUQ5QoAsvo)(?J|{uAm$A$0N3T;yL-PQ$;$@dUp?>Xy{o@msu3*!_ zo)#mN2;-|>T7oH=zvy_$z4gUxkNHH6H~d$>qe{HO@JAfY;hTHS zZ=H<+Zkns#y3u|j{C=|Z%rsXQUc_Q2?lrA!A;IuOmGBfz5vXjo8*w6CVJ+`Mn%JvC zi1kS98?8|Sf4aHFD=cVj?A6)N$I9G^cpd7#V;Hdy`KSH+zS~=#EnK*i1p_@G>eihL zlf$LQ?y|&TBYP<%Z|EaE2gTBAl1M&e@2dK=AVm7V`GFG6&S+31KLZ%@hI8IHyajjGB-z{y~k1s z*XD~4pg7{%!xN15T%7sI^_%2`=DON^D@AX+0d1n#4@=P;q!T&uzIxRYBj2}@qptEJ zaPZ;vm-Bh3pNr#NsCcx};@@oI9+Z6+J}x_(4QK6xWB=|cBkt9+vGCuvb7?@c4XX5f zT|k7=+t&)|mDH^Q6!wfDC#B_yYfTYFC-flpiW zLgHf4dn_vMxcMNzlV2L5;k$B?+8I=j zz;yWpC3H51egYHHK6E@B?9lT%Nidi{@;ris4t zco5Xp`E+?T4@gZ62Ukvc67e_Fl$*$Dg65BCJ}LOK#lho~LCR?~h47m9w9NS%X|QoD z?Rh%d=d`x(h3^~N5`v!^ry4^G_@bck`|u0*cWD2}z~i>us0;!(avxbY_)>&|=ACNO z=N2*W>ci9=_4Q1Ghi~cGYjsN_p9|U-B_GD6u|}7ywS~8l$iIBfvCJVDb9nP@POv!v zn4F_i4LY4L?p>r?VrXv)j>|Y-eOq`Ra1Qmux;@YB8Q$g&yl3;WZlU*$zwOYDtnnPM zZm99GrO8G3!kanH9tlU5Wjn3u{^M(jA2TQ8!%=^PyI0YkF&S7ltj*Y|$pk;$&8d9* zx;h>U&9>{2*_s53+_zpNpgp6u%vV>I-bNERjPoI$AI$#naXp%8LhvBYbKakqZuT8b zf&6tH+EZ?h7|y>qFXB9Vgi&wBEu`?(2HN zcye=O9^x`vG!nc37Lk~*{^c>#Ws>l%q8-2d7Bx<8z`EqmQ zWmBXJ{FfIwQz)#_pDO|TyD<`m7R5wf#H15r9C|CC$OrKJs+U?~1zr>r{D$WZdOFo{ zq^?K|&kN31>d3DYlYwmU{lf=MG*2x?L9;cm5M2Bn*2iC?8Y z?eT~_pJwtU1BQbH)ZV6`eLcO#LEq3j@q*7ojh;!QTS)B)ZVwB_Alal#PEF+xGyp8Ux)jg;PbHf+yt&)!TTI|y$;XoE`D#?lN(nLS`14y z+}Vzp`j%RyZQ&KLPd-2Gew9Fo7e?J{OK2(n=vmrkdfeu-d z^M&w{=1X%6eH45eis|K2+=)HdC3j+iwiwu6r4(%CssznV=d)7-MPT8mw)+K|rxlp@ zDLiD84dzjFJ49YofTlrOf7VJB9HADXbJr{dZL4TH>%KgwjMdt<>sdBD+u65oYadIct8zrzNociLuW*PAC2u*k0uLRi$VVXU zF@C+oDP_RnveJ;Fi>aG!Ri~uDHU7J>V8z?BeoPHVoJ-D?!cRcVT9Y!ZR z7wM5+(y>3O{TELmNF3~}qraX3uXELuXiDvYo8ftZYDzqD9-6w}dK0~~zX~j+ne=Ca zh*s144pdKVur$bN=Xb*nKIv1Hyi@=goNgYJTao_aL%1BLeMjk{A^6WJ+fK}eJdOyUmur2Vg&p5 zdF6cA9=Y0g`&$86@D3=hZxqAwXm50dQ#G(P9MNoMMt#f03i%wA$KYpSO8Eo_`h5x- zS2_0OUBYAp0`(6U8xZw7>Z6~Zo^G_kWG*+&tlFl-B~H~l4znr5{k*j2WlF_F9PkOA z;9PMpfO2!`n~d!>V3jSG-(Oe(ccWW>nncvVJO7MTr4=P`Rd}`|aK#cP1+5%+9gZR5 z)xK1>R-Q4O_`Xm3v)+99Qx29c%v+mHD}bqJp=Ufl0{hfo1T)pEFxbZm-u8_+f9U)bm%p1gtK!zT$6efW5w3zNOV7 z{vthiTktUh4k_}*9bza40hgzpMwN}<ceZ4K1EuUSJzvIrb(xpBPG6ZPM5yvr+axb03^LEHm>$&VJT zf6L%lutpvxbDg+X8>eOicJP+LE+NG?Z5;7%Pr>U+Vt*Pm#`dj;ApaTsp5r*nlzvX2 zX}J&_{3LdyoQx;pmE+-=p%*1yaQ5f!lu@oS;`ePB`uT7j{ke1xD%vg3Al=KqxWMD& z^w3i=&8sm4uFw7qYGA&94PN)>@=+{a1stF1i=$bg#>j6JXIUlZ?6oN;;J)?YWHl%ZOB>kl<2b)tZ8iubNi1?!&7yh*i z`51ZXNNL8zCxL4?ZR9SFDsU9mmCA4~fe#L1M>6A!AoZ8>1Sz$i;3vnS{SA+h-&miX zD@klL2j1vAweiN461ZU{L7~RbkOU;=N8I)YQqW$~%iVUZ|M771@hFaVnF5F~2^FIA zlEGLjXag$;N+36Ka%|!46^#4t%kvjeA8qmXv$`QGQ;4?iaM4MvBybt$tKg6J4mAqJ z@Z`ql=FH(!m?q`#yNbKf|G%2dC|*$l>e~Dni3(Riu;5T(wIk9c_^CJf?k^+w`p-Lx zrE;XBWafLXC-5=@Ytz$|04%q+UR^sR9q7$|%8=WT{w7qP{yW+y ziQ_QNhj@MjUhVJzr`?C%12A?)tATgHI!-Ntzl=UL;=nm03_)j=R# z)s2qZiUgitR9fkxW4{W!>+blOBi_(&!xYnkVhQ~Lj>pR{{F_EEl8CuS9QU=KWJq^k zC&NKyvrj7lm5_}#DeY!Kd&m%a;2qkm<6fIWVL)$f z!sEfiqkA(WW-iiK9NGzj_&w7oBOesr2b>fRjMIhFWf z7F=wrS??pTzg(%@^t=5r`$e~I_Z@-Qde=xwh;leKBt5b(>AVN#JghXelI4jVp?vpR zXq^fB*piuh37O#ikd7V*dwNAEN43HZv4x;)!rXN(nBby$Ly|h=Q zTs<3y<=j_G`Jv*A(LS;iaNQDy4S#-VSu7cW87FRMR<5~BoE4obULiT&fS=o{(hBmcMA>($v&l4Mad28E1yEewzeuAM( z%Nn!cYMSG)W{rHH(6TA03_~UJrP|U`_ zB5lpp8{4#%T)2>S1^caO!cM>QB=|*_N1b85h;62<+ptkuV2s`T$0FwRu+x*$`?V)6 zv1qo7{vvCp$RAPgp2&7vV7vRt`5wDDa7K%}bk+M|tcHwd?JeT5##1}}23EW<=W9>4 z-#zY&IsC~SvkfxAGDt#p2Sz;sKa)0ZUSJ6Ef*JJ-EnlkK(Htp>#(Rr9?B)Bk&*+*j zJQa2Hk)d;jcef{Mx}{AqFW(RmBP|;Y_~ZY)d?$@rmK|PfKjQ$W1FJr@e>;yA@{qjl zT(QQuW)ioOwEe-E>!ePPh(FqcXW-{&;SP`Kd(1Kv^x;-AC+$Q|BzXBec+l!^g}oIw zdSjY*5sEX#@<-{#VSv_5q^Z>tjxx&+56Zg|=eGFawwrABAj}*aLG>8akC4oQ~i)W)8-1>bY-~aOOrsk9Hj|E{bv_Gd)hI)bJ!iK$qu>+`u3(>tLxr5XT+Qak8Zm6C{U%rrRLfr2Z z_79hf_Fcw~>=)p2eeDdK{rz%bqtOHp;CO@MEfwof0dGVCCd)q1#J-94Q>f98^pZ?4 z7Y;h!ZGJwG!?oYEC%^&*$6LbQ$MM2#ROWv-7L4^p`YAs6;ECb!XAoc1Ss&nu; z)#rNOh5(M|!CkrHb%(+*bt|pTn)jAi)3QI+w%?(It{BH-cIDYm#qNleu8Gsg@2jBSY_|zCCb!&ZU0PSfd53D5R;aPb z8yk4L@w8Rn8>_u{INcuk@|$rFbu$%OVZ&Xjx~Ik>h`fkOM{9R)y$&pR$sOJ{?n&fD zTO5Nq@Ee{t(0>%<_16yoJU^&Tdl6Lpo&-T`tk0cLU+QG) zsEunL8R-x?hhjYQfafRGiLO>Ox5tz7O7T!32rlx~GtaG6{O_|BT+|6aztm+rFR3LHp!ekMjOu&Hxh*DhUR< zY%uNMwYeXi3AajqF0vv$*8AySgF2~bzEf#pxao8T1YVhLpF(}wYTj6H5!4s@E-2nT zJ01y+f4^4d(?x->x7MpF)L*;8eY5`cGtd9|^DEZwTmZ(KS#u@q)C zPxgL6?QpH(V#IbgMqbRVX<%$adN)+eziG_8^cdIfqS_|HAp9^+CE3G zo&{OXG@}&vlEG1`V=?PlCWP9||Bfuo0)AmrLESBpupzq8&eV1c8vKuMEo;bvmoA&D zPyeFdQU0-N3DOT8cpS+!8I}bJs^7K;N+JKTW)=DKyYi9#U7XJDN-;cKrA?GX@B4RK z+D0Cjq{8g7vUgHt287Ks#*>lHp7g$#o`dI-K}+^j?Kkfnc*yhVXhUlrybCVQJaDiG z&K{N-y=H;@_{blYdFJBbb?EDsg@I&n{pL|BaX1~8Z?|&Hhi5`~Q@C)&!E8ACB({8% zIR_Lt)R*$7D)@{LrA{idKC1rl>SDkeec;4ZelXTOOT^k}z! z8-79u=EmP>FCoVday7lLyj2=7`R5G9KQDm7=$Tcvui2n~rn@#3?7Td%o@1QH_~!gDJilw3nn-ENNB*+0p;Kqw z(VloW&pf)3|K1&0Ba^ScF`L6AgMKmPwM_V6oh8eO=DcdOXQ_LT4_Q>OX|sSq8OS)F zP2ciG3G#SaD(}0Bz`b$dE%z__6Y-i9xpayi^$qdwdo6W-NA~f2_~b_lAk!5CT_#m; z_N^F9!?FKWvr-Pk56(JT>J`K8zsasqFOYxL{hM5BzmuW%RpP~Qq*rv1U%Pu9)irVa z2yoW^!_}7$5-~^26Ur-qzy4Ld#IIQRNqvSyUxexjt2Ai_w)tSet>k2e>b=j-&eN=+ z`HuL=0&YNlthGl}N)^?!;YzNu^4POba5RmezS3C$&bg-NOt0BvCvMxHkfMtwaByDv zh?~1Unos|ScXiHJ?uR@?b=!aUK!z=Dsq;hubUlz_`=nY$+^ea!ANQ6Xp+0fCG5hIl z{;;2A)nM>(B1oJTTqRi~689X(S@#C*7iuYakOlIeGLuoC=U==!3O{!2X$XR_qfL#W zT1b!f@Av&65|(Kb5Cc}j&pR0BQGe@ST;Ori%c)DU*9#6MT9XQGd3j<;J3Z|ypMF9*itw){2sP6orAQJuzJxv=Ag>)nJCR1mG3J{W^|spsHx z2c!5@Q2mUJhm94%m9)6O<$+#A{Ao@P#q2~rqUJg0DUL-ZKn9!OJyGOK%eQSODX}RF zX6El6qC+~SxVntMXpIVjpU%p#?5srofg5N2eGaL|0;n=k@wSl(+~80yp4uZ71wU&4 zj1=5X06Efornf^m1P?o;wNJC4d5|9oN~}NSWUyU%DpO}08H!p6G`%6 zG{?3qNgSJg@%HjSOrA)obX|4~l|U=A#qj~hU~)SNy&^hm!Z z#(Q;ZCDL6D#z*eJ-Xnc$;oCPA$Y%lPYrerahHw91;i|#`zG>4?c0F8kgVH#c&?Pd2X*9 zpL(la22kakNtiFUAoh6TyomGc*E1Prey-(UzUi^!SEw6?4{=#q5?~t0q12LkEfrsemhRjC%$L!3JOU za3<0%sJ|<`WOOhBk|m3sSXIRd-g&PqE?Fdj^d46n)uh79VJWNC(cx1Rgox`DB-+P8 zN{BG^=)*!HFPcXt@lBl-kT&ME)97Uxkr!z*^Lub@DJJp(Jin6uqTuE99Qo(|<2O8S z2n0^(U1z-D9_I*L~Y;4r;cDzCL-lLq&zbDYVkEFYknP~vhYnD4}zw|zkYsMXC&kE{m6g*b~a^#9`d(;?#9Z#Kn8q&FTUpu-v@&GM&tg1xDO3JuZ+*N z;QB|rPmb49@w^-VeR}q1D|)(>LmD+twp?{NywgjWh-9vSr9Twbv#ezhu6Q!%*JL@G zTlFeqLOKZitgc!-UUB3ChM)5S3+-!bB=|K(h5f*?prh~k<4WX5NByhn-VgNmD?a?_ z<0quEls)5IV;C9*V!M}pQ}&CXz1ae`;bPg)HuF_(??JR*L&!RbrYZ}_xmhitd$W;0 z(y82=S6*5s#mF5T~&}v!=ho6);Rom6%7q zjGnv3PhMp}x-1U1mA2hM*tPvCD$_A(urw>b#G$d8T5y{ zs)Z?{A!OZV{FikWl-ct1&E3xc)x6W;=k}I>(3Sd*(-W@XzD#2GLUD(m2N_>cpQ1*7 zxRzJ}Pn z2|qCx^e*UgWmfqpRSt>^tG3tC{*hSmV^PVRn4XX9DN&Pu<1LWDtCL+l={58Z>=QuTYvQBk&_?bLPADQXzbCXj46h^bV;_8uwng zCW2P){gm6MGGV0ruGxjW0#K%WqI(O?)1Ud-@p~A7gY{>^UfelPCh$(2NiW%wvyiw4rG2b# zl^Y9T{=hr6>%3LOy}FTbm7O2Gqr%sxV`SpIq5Gf~y@gW}F!jkjiA_LrO8@RTjB68>hil+cMB+(O;Cw-fcF_xlArwnu)Gq=d(*&&r|D zD|_V#QzBeyE@92b(qLfu|uy*-RY}UPEf(LNC!SR;5UXZdf3i;Id1h9mw zCjy^NT#Cq*T*&=V!p@MdkEOQydQQDZ`(x~$@ll~Up5H+~1o%Ws!0{SwwslVR%vrd6-;QW&)VO~ZR1z0b-PMUSKTVwrVmwYIqmf}c+P^6I{q zhw}GH#Z~M{1Vq1R&I-`TC2)i3+(jwzuxRi$WZ$i-kPN$p)lH{2a|s@9J5<>_h;-^V zDVvi`i=?pM_eIH_UI|cZx1giS6o$>EwA-caKsa~BsMOTQ0Xt?wPb0KZK;SaYR~@o9 zf7By=^@yaAvX`Yhq$~GIm-nE#15#9O{9~l=j_NI0wJL$&aLLfkLvaw7sDH z-Ya%w=htgwa3~0H$u%Z{>WahmgUG)K=cnh3#ju{5f)!IpD28sNK_7MVcjY#uJ17qp zNV7!m_J25x^C6xeFl2UY99n3U>-;rxs9BF?iT&bo5? zjp$yIz8mH9_+vPpH)JkG((EXQb9xDix4#ld^q(7TVu2@bK@DUjoR-u8zDsTtehU;b>dW#o7u~R~;#0oks7c ze|gc~%AzMpUrUI50MD;xlC>tBxGD&K!}A8NHARQ^k{Arn3wBrS?dZRY>Ik+xQfj%GwA*As8C0f z^(`ABvro-sPGrMdFAq&#k8GHJ=|*!L)z9js%uhM)MEhra#fby z)<3uw0nVzwD&6YPTzzFVmCD~_(D2eOa`X21pFiKe?|@v>L*zpct+K}6oe6EMl;LXk z$bel?Y)c6>z+%Ft+SfGw;pV@6aQGfEeBT7_ON{&1;d9OSJS;vpf%nt#J}h3Z!}Gcn zC!y-WLlrRdaVtxHT{+yYwWzgZD}%EpHF-zT-isgB;Y)hL=soxEylX~E<~d@G;pddt zr~XSw$8*_as`2SG@@uen)+8k$e-WOA#CJclVBVQSYww{f7_8Vy5&H-EbR_xPu_is>dns{P_A)4wPKN48@{{|oCJKPn> zuiZOJ=^>{pjCE2kUfZpTeS36RXmNK6+$PcSYdu4AJz1$b8NMapDcemBjLiWzxert8 z=<{9}W$fF`aE1%}d@`h#9EmgR_`#RiG1kDaSFHFAZ4`9(S9QF+j(nBaILH1UdtVxj z<=VcFXwZaEh=h<(36becN=2Ec44G${=Xre09`igC$`C4~a+i{dkU1qu5=tc^)Bk$c z+kNl#`}}_TueJA=Ywf-EdRBM$bsooYU)OmaN2yEzrk9UG+Nu#w=UfmMMDw5R8DndD zDA!5%?8(c8kK*95R|0F;k2q-P=vdzMu>ejl*OE9YQsKC{sQrW2&R{!T{+1Wb3)Y=d zTbHy(&s($YO6%@4*x!(z(h?I0Qg$*yW>%;_ktyNT0wv1R+Cw_XM3V>3(KGt}o)+-- zro-F&x#7fG`lPyfSRxtutWDGzGkRhA4NRrF?V*IebC4Le)eH#7K5~Amk|!ZwaidAu zuj}D}?@z;vdJcO1*D$SWk@=|A6cD*Vx9xT=>L0rz^=5o34Px%T*I*7Wf@Bjt_KuO$ zK&z!7xI6R|wzCXQAlEUXUUg2*Q%Qt{5YH>p%yEutITP}pF|MEBD1ecdV+kkbW3ZUV zD_4^FQqaAn^wsI$0;J~?JVO{#;K!>InyRbOuzks}j%+}NaF=pA!*7KIeq1aJeadt= z4^BO}{ijE;7_c7sDi`-yaEaq$hlvyjU8C$YL36c7-{pT%O2~rihV93t5dSTrTm)S0h zz&qoeqpp>=vx$9>l@#jor33X%O%z3XmX#9wD$m@!N;e<*t@((o_4GTzp>yh+6_sM) zQm$U?r3*;k{oUs{&bn`97i62vMc;R=b$uh@M7=&vm7bA%76Pn$Xzu;CNg&>DzmG|} zd2R^2x7og`e-Y&}{H+VTPA=&)TrDj{{y~3neXw>tn@+wE94r>LT3Zwn{XUD1zmGp& zLAf7GP4}pHV_}-RYpx3Ec!|x%x7sw3KhxarQ-!|B-c~K1MOxmj%~sa(~e{MuRr1+bv(20)hu{ zyutC7@**~rzJ})Gcej08p^pSo*rqR3<{2=-Ti#fI*c9Vgr~gGAl!*L^bziM+Nr2to z<~~!P?-!9Jq(SLv#1y>xa&mqVqek1esy&6yVs=6m7CI z7mNaQP8RJ%{nUT?X;vY8YRkbWXkA&yI0pQH)%Eb*uL9`Y;4f})rBJ~Ils8hhdHs?v z%J~U&5%A^Z_=krj&+K-5@HP?h*{L0}pParS=@C)kGZajZO zM>8}ZJ_qzWFeZcpO-j-mKjasM^Yz!g9uHi8quikMs}c%k$hS$KG^3H5L-5nmjpAXE z1BsYa&JYcsbRyVSmg>=-B10h4?9FD{NCJm(KE(CGlcw0|s4fEx=Rut3G^s8L^_)TT z94{-)p65Cf{EPD<&a)P+z;?B{2pYD(Nc4yaz;Hb8eDT`t)lQUSV|3jvi3^>>jTxD& zJr&1rUdHj*SlQWzli!!{5yo*}^=-rXz3HhS;MtmfvaN^MFIoI#F!f~*I`q_I|2GNEX5-}8IBlu>}TMQ0`{6eesQhQVBR*sdl&iV$Q>&%gib z>hc;jT^2a2oNK;?Wq_ztCFr64-Ku?0i|vF@V7m@=ZZ2L706gCq&%wjA~l@@wp$oKNRmHz|WiU?-G3fPWc&R*Z;l_&Uw#&N);A^clMs6?Uzbn{bj(Gz396N zUk|see`TI927GmLH!fGCOasz4#>p zh>^o@7DBS6_UjFs5_oYwSNCCLE~s?jF{8k$M&7 zx$MUJCA4y3ZbHW1^I8G)UDDV!kNh8#pBMeAN9Tb*O-`PmIE%h7_XR0j*@C{O#i*`s zmr8~5JMY_Gy+rf2&dz>jC>Kq+&28e{;T&KL>+CNUCxf-eNvGzGR4^5b-?JO#pq|hn zEw$W6elU!SD=E*?pnSo4gwnwuGR?>>9=19VY?vLOgZ#Db6ie>gi*)irl=8%3zkJZ# zz8)Heo>QfR{BAf2^%I=1(^=nY3!Y((0VFo$Yw~wxx)2=Y{5uHtB{dq}*G+$2c{fEhn zOD3xn^j}ur{rmy_J$E&}m~ccnA?0UXEl*}c%%M-=hjokKo8{JtH-qSY;G39%$D(NFr91{-A~b@Q%#%kFHPD zHrOXlis2W6j)cC`qu(>M=;4OZ>?yWVNF;;T1Bcf(CNY5T&udPi{>H)3fWaIX;+GwNV}>lUl}wYqg<}hRK#gJcOv%tdsd_ z|DyzApW`^|)R<@Bb2Jw& z&jg>{{gy=3>z1A>xtq_up)!Ixb_30E;_vsGj7EJw^7qN=@e*`FIvB4DyiQuEN`%!Y zLJ3?~9i~|@Lw()Pyl)wV-uq{+%WLFhcUp4+jDLdZ$f#t{x;)y!;8TYFyl!cC(K*)- zkHZpO?@%6eH*YJITryEVKD^J;vR?W?b@4Mp(J3_lUb=d!`(qing&LAMOOInO`p52v zAm49=BU*P|D_nrXvm{aJY9My1yL3G2rY-E{p!uTRbRE8mOVeg=55&ZexrtreRY2_T z%C5JOyMqdV-{K55C4^)8>_0UU2|yglA}mqn>A9YQ{zNS)o30>=+m%;_xW z!OI)XwzceL5dL_7*Wk8Hh}bJ8BD|6e7a9)rGTbYKVMhOt{4bq|`jcWDSQMr~=MCQu zbnQj{5H63n_cQjFK(6%Mz;U4*2sL(XoI^QjM@Vj#mQoc2KYcVRtvMi<1j^?9CiCc? zfj-AOco^k3VmBcEB zX-`QuWWvQB8s({McTB3Ey*wSw{ro<8JACpY7v>!1YW^;@h`?o>ua2KJJ-J$ia;F}$ zemKvn3wniKlf|f?rT@Y%Q`s}fm*M_4n{#D|XNI%{nWxDx9e29>(a&6huif4oCDtev zz#!G01=5WqNUqhp_5j^OMd7%gNJ%P;;Y8;X zWxwoXP8WkSduf}$zc<)uyKvq^K63BgemgFx8U>k?u0jusLju%BVwZ-rPz=`vXC*zF!_Ozdz2+Ht?_(**opCrio+lG@ zVmMj5=d)naR%NPAG!xDJ`j0i{a8APla=j3ZQ9~;^xZk zOb}S{RnkCxG^MJPZI97+vunso8rRnd==C;tURq6pqq#3t$wJ9c6Badxp?Rj-ph)U~ zj1=IHx82J*iq22@?`VHOxmY)8wE5@GhR#rkKoUXs6js*^Dcmb3(o zI>N$$x-NhP>$NBr0E7>mG@5z(xH3-JRcU%5ySH)aNkGVzYg~~!RKM|zEr$_0YB%) z&+G8IIT$z-YUNM}-_CDRU>PU^$)S&)AybLOTK`d@FbNJ}_^PKzTVchJ1lBAi*c|c? zzI$)+ky1)LT%mhEXXKX(9ay1qKk763L+f9EXD9@mHm27%(TKy8ouIey$uy{%;GTRm znGYH+uk_DErvja~#OTT>TJ18;w^GLfhsAOyWn(tD+ZPJVvY?y}Cg)phj_Dwxes4{J zkqpE7o7KH}(feHUawr;4g_#+Hjg^maaO#6{nF-2a%bR){_$e(LI=pAbENJuLpzzj zGFVy#AicktlOv%3od?w33wm%N6W9%d6hCH%f$Y|un-jaFTEu#$9P;;%di zA%jmBy?&BmPvr~0nsVgF$0~X5E6;!SHw71)X*$S>J)>(zez^7_4ABFKZ!Svjv(f+Q zNvu!LJ+(W-?*=T8Gair-4bj_U{In^3L6=%ry@SdV<2$m(W`gGG%QhxGu6bvHZS(HL z-}ES-m}?f^oR5b`1-iGK9TS1CZLbr1O(Bd%j;UAbr-7ek%|+xv4;xBa&s~x42$Su$ z2im)H;HSZzU-1a%w0D{)t%=4!TU(6(iG1|;AwFizi@t+)-h`ij%Fy>ZB3FG$>7V|)wk!(f_!d7bV3_vq^4A!M460dj zWG4}Q(`v(<8ePi9ura2u(2n{!53!gHEm5KVjPrJpF+Ir7@keL;pZ7&@s9bZyDOVnD z16RsJhg0CJ*iEZm;zQJ{qJdjWmT)lfyw28}KD(mt$qkjMdzlIOz_{OXM*JuVTVNU; zuN+N>R@Q>U66ibEbPjv6FDM0yI6Nc+kcN6vBecu{>3e8yy-<+|pJD&q4&0fi~r?Y^>%b;v1pN#za>RDG^ zQT|;F)%>=fX(06dO~}nRL10{kvMP?`f`;h<&a6Zm%uG-Ii*#c+frC%CWxu6C^Uyfn zZQC#X(&<|cu@7zxKlo}LhI~lny=0$Nml6Bw9II+Lk61cTHZ^UvPWJ{41~eRu@?A_~ zT3%ee8bj=J9B1!E^jx|!kp-p$EBmt1Jsw`KrF=Q!Y&QOAZZn`c6rI!K@0at>aobPn z5uio2F@G>R;h(zrTPJ#&7r*4b^CNJ*pDy6zd8`DG-_Zxf@L|(f&iIrtCLP}!aufN3RJ+Cr&UxM6FS+y~hNJB+ zb5tRmd7dM%_l-YRCTbfHiF`Zo{cW;a&U(l7Y*3#*n0tCJ8Ae|&*9Rbf9-IeoyutBy zZ){|>CRGN=&JGrBosWaQ+&{89U70ZOA&G+X*^(T$__jBXZYF~vhwAwU*O34EM5@ve z=X^M|MLbLEwF^;y-9e4O5gQMuu6I2WMSbXN^3~@~Hy6V8-x`-E6w`qI?!$gRlvfhg zd`L8-qlDn6&}#zUDqqI{T`RN6=Z7Tt$<;`&d?1s+jo{* z&t-HEit{jiWy|Lwt7MSxzhb>oB8hF^)RgT)iTXFTyb^Jq@xf#wpT=!uCc=tO3A1pX zG4|VPn0gLFI`c0s<9zitdrW<1CJ9tWu5Pk#v;o_`+n*;#5mh#_zo=R;f{JU#l&CPP*U!+8+rId9i{HbK9VAz1&F zL#v(%!M`{!;yk;rMzNofrUd4c?{9mM=!D^T{_MaF)}G@<@aAhs?y*-XP+974Bc0$t z_%Y*nEIq*!f9*&pk+X*5K2@Tk!8g>0zux?Hk*rbxR2#t<^-F)a8JD_x6P-gC8P(W5 z*9ZZf;Shosnrpv)t5 z(SB*}l)AH};5eK+5^=Sd&_(RwwKkIX@`>|NTwnQB{_fFbu$fWEcV>V>5+HM>}`5XsmD&&q@ z#(~6vFNcyQO2EK@Ww4r~2t~o*KcC$+!;CaY+ zZXTYm5{~^hZvyvg#C?76`EPtq2=6Dw`wsB)Y5Y3|-|tRx0(lHMC6M!wC1KewnOGH% zh-atI@nQIya#JKvAu$=U&))p1oSqH`GG)^{6_8JY=(x?ced#bBTK4T1%I!>)lJRnK z4+ECKKECq${aEz*B+n;88DJK2aP`q8)c4;^O+J>H4%4PPHckCV2NSW}?m$K4bL?eq z!P1`#bk%oC(liT!_I~hT68Y^V z4lR7vGDi7_!8$(AIFq4S&3H@-`Pj#93uxd@E(EGB{#Ksti7;qpqN$B=w%y~68#nq+ zihFHkqNkVv=GPuKS)e)A#-k?}y!NC*K_U6Wx0PIQc2=p-TFU~;hHz4cVJv)9maa)d zb0A;NmXFAyzJ`)`>I&ugLNMJHuve1J6L$NGiusSn6075K4Y>SChl5`f+KR$luyYm^ z&!~R*66bf$r-M6oqdq6o0yXcD>3ERxHnG=zf&BUY&TDVyU+Gf0s|%+B3QV`6`|(su zMU(mmCGhsj7T0_eXXs+vB~T zgNf%g+>u{hs+WRSUth%lzs0cafO;S5@`rD4$taEUNt)`hNZ0+#Vd%g?xsq zwvieT|I&M-;Y4Qi_m_QbC9|=Fzz^QC;jhbSc|bQ=I9>kqIs_krQlGqeb;wnCOp*t4lK6j_(AwQqdZmr^6n-KW4?wPWu zJs)0-*xdg7#sS+T8Ola}f^s7M;$Sjs@%^7R=>*u9PYeZkIRtte_J4r*qKKUc@c6Z;&;S?hg4HOHe+9{H+S zxb3|NqF$+O9P=8Y0#ObF>(m4JG~)f*-!a;@V1s;V8;-Q!(?mYxf9nFT6Bg`>RLGe? z0@u%3=pKtXf&3qO60{PLe+-UKIvY0dA0MIOn>!eCkRN)&kia6vxl-WJp!gMhE)KH$ zT6_+bCqk{g{sa%|Bf#rNUGI0(6ZrJbM$i&^w4EjFO3Ca>yh^KlG544{??+V zb87mQ3wQe2Kii<(OV9IVs=4U<3FiSEZ*aWjmWvu3>CA*j3sd1iMD@*O_Vurs9LQvtYh|H-Q6@gVB2H@Kdk!4d7hwQ=ju z<)|-+T=v$Rxftly7s-;M8Nl(f|8lT!E{wNs7jG%NPViIvH?FEt|lN=Yb+4zAF*%cqffvG*cXeZhJ4;z3Cqw?rh%kEopZuP+U%JyW1s!l^+;u z4Qoh*&P0pAvMv7Dslk4hX;LzTJmKU`Uo^&U&Hsr=M}HqUF5`S<6R|#^jruz1tQ^+L z&e(x>%W^mKON4{tbTs5>)JNTaL9(H`5Y#V!xa@W_1{xc^RCv*I;e7qx`lek{X*R?k zs_6ZRaC81*&!{H4*T?zkoIv9C!G&l{DMB`Rw=3$;o3pv3JC+FXZze7TM8*<0jPoI` z4}8)F##j1OF`Nf+o)eIcsbEM=g;zD*3pc9G2>!)+5$9RuB-ZxZVWsfp*X0*&UalC9 z=T&aj(Y!-wKcDAFIGUISs)ZzTYGwx_2MWjIJ#I;oHHZgs{>E{?f6K%5N$WH?QJb5T zfX-K{1w6m}M0w9+1*;M)x02xTnrZVuilD&EG762*A4Co)_2Q$!!cYRoa_)HH8q67wr30rJji#C@tjM5GPhNIMin+=g~s+2jiwPysJ|9UQM zQ)nopFq}EBFpGT7$6p-m+!+qSca1`aw;&&gVZM*fE5RW9$-%$-aWJIZ)5{Fr;tAgu zc5c1F<^_`T-gnhAf}r9$bG2=X)&Kna(Q#d$EH{(j>E88f&X?h!wyAJ`)oIkffAoD{ zkun=b&A`F0oMaCh)b?7;ir27=ydqH{nm7oG^CK4vBm$o6i|4=LIU%^8H10cy`_tfa z%=o+u-WQ4ApX2AOxE{yfTS@VEbMI53sIUCL>#?}fWCImdbUyvxb+|7`IupHD9Y;2* zb>ttOFT${d=>`IWaffmvKl0BU`mKV9!vJ#%MSHf5@>cElau;H0=9s3(TImZFx1$XB#!0;X!;bzH_*MqYGUyI#U0V` zzM}H{Mg35i9eim@DH{ek$s%m^tPxOk;i&77ia$7)DLy`791S)<$F?)QLVlfl3{9sQ z65-1$s?mXB5-3&Gw5J>jgtL!Vo5KeJK{`-vI1b$->8+|YxO@x)u}g7IT^uBMV=UmF z(;o?c++w~`d;0-LXLU&#Zy3;VFDuM5#=ywaoVHz)9`H^n&$m7p}6G%nO}kXwFy0UaNu@;erX{P|WvWU}!1c9!^OD>a@rWWh)ZWdxJ*b&^@uLWv{dG zK?mU5Hh6!OEr?i?ZwVd!6dDC3LUppvg<4p}B}Y#Ev&MwJvxtYo*kiud&;WGr(bRbH(4i0*Uh5X5LH(jQ ze$a_lrM>Nsf&Lf9rUgamAk0)^S`qIFQt2bRtWJl3mj_kx3i8Xoa7omsODYyr=!*So zM#3O;VaH(4SO5q_{m|@2`;a}8QqWq@6ZH8@=>l{TpxFI@aI#QT~`q$~-ty80Z2z*~%b69!NG>_&viWWT&IypmB zS8epW9AD^gJZ{k>;!o^z9A}@H*l8J^kA~x_cQ<#xbtmfeYA2^hDrN&L8cu_*&;NP9 zzf%i36vn+lAmJfp_-%ipF7P_pq%Ax8O2C=G^$%h*Q2{1tu-KPNo8N+N0{;4I)}FEu zNW2;c^{J-3kL!YwU#9kn8qri(5(&FlFyaRV2NyP{dk2G;gUHXPDBqr_pOc@r|JZ2- zshmA}zA=74@y?2mD>fB&c?dk{EN8`Z>NakTB_o~eE2cXmW&+IbDRtM(>@d~)p3?zY zns74z$EG>z6v(~y{aK>F9TqV5Rg$F{A0z*9zM)+#Q=zcs4NpsuZXCe_ zINsoRd;HBWrL?mMht6DzDTLdbeTs9$Qs%HqMd10lfk z9IRV;$iN#XSYh37Le$@5K_%rI;14T*;wa?VyusB#{NAYnlygR7oXL*zp2hrj1hS%Y zbK~zmN6#W(Oq`z%DgTV*3l4%KH|SrVZViOhfgf>&=spm~jd!}Q%AEW?;IYbGp*3M& zD7%p0Cm-?;53`kx&s1-XfR>2D6WaC1F|HW>opJIJz}cW^FiAGWKEF7zvl96yn-~tH znCEd~REf)0%_v6z$7P(a-jvTYZlLdj4@ciNom~T%qufUkZ zaHJb=Gl{Tj1^^vr&U5PP(F9*pUGJ%h>5qj3UE1z^L6pZaQmKiZOCs)(Se~?8ACh#z z+_lRd$+iT*Pkz}DW$F<4sE~B@cZolN!#E$}`arYTG--IR7%}&W^W4EIe#=sH4!!hJ z?lUzLAHlykFXB8as$f`UhH~M49w;)Le5{7ycpmn(ddtOOl&?#m~caz0SA zC2~D+Jl3)DNjPxOi{Nh@_d{8|&tG_oax52^2lk`>rbFWu*(vN6Agy@7rQ}Q~xSsu9 zIke&qinB4i>)SaA-Z5DUT=xuchJqB2m_>WkeM4vsbul7B>f0I4Cesp>3ggH&J)hySkV-FdqRt3k+v25%8mYo_N*m08|n`Pdc z!1p;8+x|97SU+}+UqDI=~jg(7Aj zN_s8oWsf;AL}iUul2z}M*zQ_{~hV>H){2^%q+A%Cx@W*pH1P^Vhi-+t*hC|C=OtST4)#&EIb zPpt-aZ-2w1Q;7$#LH<;l7cACjZXl-P@VYrD@#Upeh+6@zSV2Rykxs(QW18|r25DUz{kFcEWZ%d2j8pnG!1Y(`QY+x(>&%i~kW__d0adz{oU zL4iMGUH7cuXuqxc5pHuBq0_79q;!VXAgOYj2{W)*nD)HBXailJH>hkq&%*6b&lgYp zX228;w894-sbDpS1-L(m@L?kconCUgFN5L-jZsGr6Sxobzv?5*A-!WE&A8MQXn4+A z{0UNr2-zYo>v3iHy_Ipt39~B@5U94BbH5>!agtr*bFRTjZZ4MhM-8y{s^Fgy+IH9q zS@DairZ5&G-r*{6$^bKa+a1H!tBUpCBHd5aa|V1haU1Y4;BWzR`eXF`r`@12IaKzp zo)ZLE7Iw9*T0p+~y+gYt-C*vGn*B#JYd9qE?bHCt1|pyPr|bs|F#`f&FVQ)PyF4$eunTzFFH@gE=hd^~ zy|b(5%%C=eHNHB=30S`kA5}+w%U{dKPRLg}08fcfVilt+vC8H#1}Y7@!-uOawjVj{ zfFb=USrp|2Q2hOe=XcsY4^uaYc4OZW)qep(o=-G=a~2`|vJ-@!(X`wNgo--)jnqIL z2>&>j_3VQaT=N!4`h3J2Ud#+`>$G$NuOM|!Nmf2U*Jbl=zcryy*nh`lxEWEeGpSaO z9A&gI{CNYfeCB)a;R3S>pXS5+l)(I6)a!A7XQ0YakR>;Jfs^Bz?$&KmP;^{!QS#$i zV7u*9a=d2#8R6IQ*6_2cZ8i{P_e#RmkPALYiElga;ECQ> zJgX;@88m3ORX+)LherXNjFP*20LQ_j!Dc_O9!~=Aw)`pQlqH!H`#?$SG`~iI9`qGo zOFEY65BR>~oi$0Pmhl3KgWo?S!d~E5b}5ASQ;rqb6S7%aQ@siV85yv45#@pkt@?@9KPuGqYQ_*kWhGhDaK zOsYlrR=TP;!O`Ie(bDFlgQuL~o9?}j4QSrNg@w_;*<}yLvRmv$^7Iu9ufLi5Iq6lR zT3Bz(e30lNQ_PX!9{+bKQ>e6RIg`NP0!(_bk-1D}*s}%JS}%E5f}iLasu|wu*uhYl zGOZ2D*R=Q|_WfPFC4n0{12@9o+Nwa$WQm%Y#98bCz0!{bkF9|7FjalpJDSJWU_NHv zfQo|$Yv4)!a!Vi#HfV?0>|-6Fla%@{K-&sD9^R|`Ze#}+&nxcm>TxA-8RsjXjM^f) zpWZN`uN^)bXpd!%D#Pt-zVKlxm#F&y=0Dg|3>fV|z94jbQ(WLVvcp1mzezmx+Q}WJ$^EZzB8SOEX zTh3g>E?fM1d~wDM{B-WsZv3&s&N{Cy77JU!q{OkHH6Ba2`Z%7iXr<;korO!EULHMU22{1$-g zA}tc<4-HX0!WRSASG#_e&B=JU5&VYhhA+=2zgnNRAnx)0)p!3_KmM!l{?&K?>brmS z-M{+ozj=rM>brmS-M{+o|6hIg?!vYgSsmeEykGE5J?d}C>Q?>~tsez1$GN?p`bGfV z%lq+XK1RY@zI#`(uozhL9m(6zX$PLmkyYIVsUTgg9`QC0%|FLH=V_lp`R=!@A82hS z!|pWEQ`8bJ;8tMd@btPH4B4|EOzsYX+6JcGDnp?V^l>chR0|2VKYD%r=XwaFzV!A@ z(hdh#k)~f8tKpC=bCm8>bO@M@tF{Pl4TV-`y{YX=As}QG;c~mz8=518AJ$s?K{1tZ zujbJZ*sVc78ER$oKmUFMw;U;f90lJ+h3FTtNbqG)TjNLlVj5blHy_KKgwS2nH~IJNg$?%|;i!+{x+r_ncbzC`8a4Y9 z?H2_S>rI-8jQ(V*-A~g))-iq33EMvDh3Rvp2Tqd2?ct|TjMdIN$7hfU%LJ@@&}^oIC1tz zJfzT@uvKo0gn&lZS?a`4@MmSymD(2$8$2uOt&9F3-{QZy*CP%zdVBkOR}%n}Fqb=Y zAQ=YVEKkp%ym*pHjzJGa2pn7JSJoRc@uCYV&<#D-2B^8liux|79 z3RNsf1cwDFq4R~bxgmX@3e?YeEcxdeeFD@Pl&yJf_XW!j1{r1!sEhFqCvARA=3X$kZ{7KNOOpsA;{1$?dgyw3-eEdpDk*mSYaCrVEUR7Sxr9r`1C zUnhX(1@6K9pOF9P`|CWfKZJr>H))f2btD*`n##WaAOC1RouuIJ(ZKsYc**>aKfGe_ zC=@|+dMhTEk_?|F!^3{Q;Dd*?A` z^3@%dPC+0x7TDuZ?+f_;lz6K=@h9F3Ja;%3+8vJq`L)3_y;W(Ds9UVED+Kw=lr_rb zpuF3Uq2D+8mGZ)_wJV!{F=@gRIcgQko32E?ZcLXB-ZQc%p4Tiy!-=g8&6|h|OS|t! zxt?O`bULo~*tO6E3x*srq?hTj^`N@)c{?DkZXW>(^mmyAOTvKrb|~{#)c4l^V}~6r znxn??1CHeHmwy%u`Oj%8xp=dopCKY9CCD9=G^s+?-UfkrgKW~>8)WDZc-Pk<5f7^E z`CKK^(O}70(WbXG1k#n|48F@mf@nh;`vcV=u$A9uSB~<1D6VGs6ievAf<}g~@AfbP z2Tz-oZgz*Szg3rB#JHQLhTWN2_ujuEGw#dc`s$ zGVy+e`!gn)24A8s@H$z3Ntdj?-HpKYz@?&FIXNhI;R~IR#1itI`I}#D zk{Z@|qaq0^_-DrV-wlI@9yE0-d(y$HLPfAtB@nLAK0h9~6bx;8Q4f-Tc@g!Ke~!iP zk+cmcxn9rowFm%?;Om1K$d|IDUXkNj85cHE!_z{C{G{jWh3Rg2D8YB%gLa2vEV0u^ zcVn_|OuZSCGb>gn)*z>xx%?y1^vqr7W- zGyQj`=a6sLQkrHjQzpSrEE%p-A{1mldkCK~?XVNbUy@lyII&`R&CSr??os-|D2@1{vWzM^b#AJ(+7KwheE9rfYh zm0?UiEUF61CYSWY&^#iJ%Q#=DYejqykdB4srrYz@V>__siZc!)rm-MYAvwE0Bo1bh z%y$bRAG5xlpC5(kgg}8rQtirdGQrncMZH1X#>f{S`(xs@H^IO)mF_FFKNWC(s=ACd z=RGmO&NZA3u_6UQ%$_#hsxKknoc8Wz>2wf*!#E$}`XER=G^F+YMZkFw=ecc#MH8{v zQ9!x3d(XSfiv<7TyomE`VjyFaEy~a8?T$|GY(oC(fAQR5{L{rc`egVS@@1RcY$OPm z725qa^B{N`$KzLKQe}@&z8}utIPTYp%Deo|4+p>0t4f8hlAu4l@3}0$37qS>*Wq<4 z0-ev&>2Y!ULz{!ha1IL(!8 zNY?$j4j8Tr7~d<%F20BYzOcSyYKl=%?wv8Yf+#|yUY`V=7)7f zndoNv!r}MtDa}L15pe9(+Qx&DaG+)gmUv+s0N>>;Z9XAhUgFubw~{X$>^h9qJRe^B zpMQUb*CFIsa~upDQPcl%GZr=uMpZbzhzIIKQ&Z|%0pM#NELb&mfxY>)S7z@xVW+pv ztlFS?E3p#n?9PT1IPuD{Xsjz5cx;N=ywQ9Zi!O6TId1|4?>)Ww)%gT?tY9zZrj-a2 zc{`M4k)I@<4~yrB;dv9dFEQ?4hx?r1^RW2b1is?;u=tAWy2(fTxb*}QfS>6{to-#* zkji8I&94#zKjkMnC_3Z8-F@H1h(0$M%vUsDzD^B#hc3st%90_hP*2kl`RTs4^iaFT zLI!216no^e}Kz7Zp zj9XUWFgFmU6uS`yR12^BfGQH~LL(?)F%sfTH7LX+;y_wtf6gy;ln=AM+Eh3f3TJ{Y z+i0srgK4)lt@c^uo9EoPp>PfL2Q%w`>|lw3%fBv&uEn`RKv;+Ey+v&x>u<2VN4~3J z2{V(^jiK;}_FSD@GV*;p{=V1QCLYY@qt}nbhrtfF>uU;ct^h?IuM^D$Ut&FPAN@=A ztrwL0Pi)oTi-h2Th;|y}Q&DqpGBu;h2)ixm1YJMl;O-OAu|K28e~7Hc+7X@xMtX~b zx41~K<3M8`^;#_4*tx|{`%WhGH|%}(2jPAD+p-=5q*pmMa!Ggk5<#z8_MPpCba?kC zk^L(2Z!qR9b(tO*u1ZeC?TIeF_qfnyX@$D;BS6$ zIq$i-O=Mr>i?UwLhWtrPjZ62%Z)Ab8)7lNk7UX-q?$0WQd?B1Ve$5wN5(UGHGHJ@?<|h5fspjZvq9{{%;n)zQ@d=qq;nL>El3px7fU zJsG4tOWfs=zubDV(DUp)F(6A>#zwm%37)DnTz`Bl9_Wucs28+{ zL8i@n2Ho><;2B}2(~Rc35^E@acyySP!9eR`u&l%sC`t2+t_Laxw?+uz9$?)gPiL`@JJ^-q9oyDoaU^G+3 zJcoD_-{&~ari9)UVOm3aKYNHK>!uG;uj)1R)Gpc!#F0s`jGW&Zvflnctz3RcpSFQiUdCAC~ zk#Hn1>PRZe8#x%>xZ}rg2s|pD>F&-52iuw#+0Qox5%m*&flvQUmL1&weRJe_SunhA zn7y_~CI_z9a*Qe|@?yIhJD+^omH=0UpVu7b)q;xsuOIaD+GBMQAJ!->EkKV?Sdhj# z2P&RD6j0-K!e-+$w6gk>iT%A0X#8>QLNb&ai?{D-iACoP+kCzbk_jHb@dn4+jG}`% zg1;i5_M&S&Bl5+pdedS(s+k1WBF_l9)|$hb`Ka{mA+!&g%dIj8NyraVgC@TR{r=(O zANTy$BkE7>a3H_aKnV0UB*eT+@Q1;T!-kvKGeG@o{NY|m1W@ohCX$)})?bx>>>bD@ z_=#6~$m}JWyUy3pdB~q11(xe$V&iBY3dfD;xq;xYZ2_RmXG9hDDF8Hv#Al?pCJ;Pq z_2|>q%Z+hR%kZut7vsm`3Qw}=t|PzW+|JycFAcH8$5vn0XQH5=NA+u@k{XP=7JPi4 zjK07A;xf)xOy!?=n#g2$dHmV#Cl$vqk0`425#&FSy8MmeJ@O-d-L=GBi~MIP=neNi zaz;Md{2aR%P;MK}*H7FpEv)WOfe%;4E^?rH;{5%2Tw*PQ@ZtLS6TA9U!WyIX?Ng@{ z4}~3jFQ1UP9|1fZA=c;6!> zf`4&d#Cdk9``gbM`ds*Q+;3XwybOWokvij&$0*Wa56Pw*yq8OLMs z0f%H-gAjthaoq3mFnhILg7iqt`ZNTmf!379iHJ?8FU;5T_a2>S=%p<9*#$vx)ZsSg zvqpY`cYGQu4K?pLLAXrQl7&V#T#I_AV{*;|!f8HK^_~uf;RBKjyV3VPu8ZzGmEIx1 zh5T2P>Lim)vIt$Iy?JKsLQfKrQ-JF$^IcI_zv?0Xiog7Z>xT1HPRe}oE*P#0&WQf0 zD7h8{9TZUlCz^tR%H)?m-8nR8(n(UmqDY`&oA8S476IEWC??6xR5k z05AuC_X~;f2X&^h<9aR5!0RycU9Zap67rt$X9#;kfOXiSNRa9O{QERQT8GSvLc!*@ zp-)Xp2+C(u?q){kGe(ieMn$<5FwWCY!GK{@8R!IG=o?QoUX+81_uGwiMnfT&s&ZM&AQtZI?7A~85eh?)1ixr(em`G<8x4Q*{}K$kvWX95p6#mHR~`E3t%f|HnpZUMKv)0>>vz&c z(U3s!H}z2uYG;_d$aEtb&G&VTE)K7mn?v5yH=pRMX+ShAMK<3!0E8ZI8SX3fho5P$ z4cPCaJTKQ6Z$*^rRCGJ2;>%P3s5(x(N({ULQ~syrWG`A1>s`LrN}YQwV3+ukT+=2W zkY4{mKeERf!sttX52Tx7?@4;y`_Mjbrr@wRD@B6pb1CzeU1Fi&iz(SW%NumeZB%Se z1i`sR=JvW53D815Nh7l<3_iYO?u}t|gwjVVCa;~4ZuNFJbACD+(rS|5CQy-J+-~lK zj-ek^)N1~W91Vs()nJ+V3!$LlCP0xA9uH1ER(lyxU(fjMFzwG9p2X_C<*2Fr*)RxN z*QYHLFvZm0d3!yp`DcE1k8T`wWVt!E<6&hN$=nNk&lju~v$_-e(~!$EW!2mmE>6y0 z?|Kpfl}+j**T0cLz*B6l-Z2WQx8HAZevQ8WPK&VLI4TOsLZx>_uN;L(J)XhULe@mR zmYXH@+Ojzk&%1q=)=ES-3ii3)*m!Fn0}=gIK|{uFn5GchM{cPIXzG^n93~?jY!bV< zt}+BJGr!QXv-W{qkM|wTL^-|p=(&CgWTRZ_zxdHpqO8btITDmMwD!_yCPQi5rO=(H zT_MWC$FBj+eNT~kNY$I8fQB_RL~RQRx^H|)kNgsh{7=k7TxQ+jnu!zHSvL&a%9eY? z!<|5k_JP%v-%+spj>PE&0R?Oib#W%Yj0b^(H?T)_UdBjA{lz;WF3VNpZ&AcPa9r>x z9%_q(nLNqcU1XFe_jg}uRnLEHpALtPQ`(?wq=!1Oo|M#;KXLK^Mco@|Y&R3ZJL_yo z!^%Nyol)YQ&#PeAewaEWX4wihGk%|IWwOO~>O~0WCaVGWaZa0EDEC0(ig?&BK|74e zQ{>Dq?FeFjcTw@aPHI5kd$z)3_XGVw?$|rsQ=HKR58!x%0g20U}dZ$Fss5nEImcERqzB|x1@{#sj4kvi{@L{p0!opw} zP^4iF>pqMriV5sqdl(F+n}5B2YiWT+PRgrd3IV`AyPy72+j(qly^FDlHHN@toUd;8 zF|8!ihCsG42Lr<^O_1a&sAm@p0h{ACgS6WtA(C%y+Lamkm^2y7U%BB0+QV_LD2{~_ zd>wkP=UF1sYhz8!4Q2QJA-}=#P#*G2!}+O>@5tbAwi9-xmr6zhB9V$$-uv&?!!r&Na!M+ z_J(HLh!`S&3fEV+lg1>1k0%lQhUN$l&?s%fyxC{E(MndS{7an~%#+d}0xtD)Yp*~!HljQiU{&W~9C{mLfMf1EC zYUUl12}t)O92yl*hTf+f^`g6j!P_-fyf54jp1b&Y-#JABlkeSvdsZVL)`Eq#0iCPt zUFtHZdm0J%Wumd96Ue{2E@1U(cqCv`S-Q#lIz+QqCs}0TVY8x3T#HSI8(D?!SqP; z_br?kG50-df1*FzLb7I+_p=pOtg(oz=$v&Tys7xY?D8T7Uh=0cQNB$8cI97cVd&i9 zT*bCqzrIWyAvb_Hc@|BXLabA{NaKdaQ9?zwAq!9VAc#asJ zH-Y;SXF;WZi~9U&)TjPKb7Fot3XYZy(BHlj z2f+hrcDE)I;K2SY>UMz$5Vh*#j;2q6J%X=G))mrW&(r#n^NE?z&6jw9MK1wb>Si03 z4~N5Y@)(_#Z3Of!Tka-jN4i08H(u^%j054BkCH1%=-x1hWLCaLeTKJ(b@uUxf@b4p zU*wr+*m5YOTDX)7%MaUoo%(!%Lv}7yS_|o2|&YV1n>Z;?kiv6kYlHl#S$jBN0D0mRgsw3=c3HNDcm(QEK5vQP78@JT>{}lLyHezfNl~9Cx;^}nEk_otSh?K` zQ;GnWXQq#`uf;(9n~~CGr;Z8S zL-Q!UF0Q^`>O}cfjUu^T(_$RxiRar{ZXllyDub5$x3l1(^?_0L4^H57{MM^3)Mv%d z#pT5Ehn0!2w?NUZ^z$`rZ(P64UNL*3em7O%Q-6WN6{D}=9HVVT@1qR4aSq3Vi2Hfs zTt$VEp*75eD?Oe@zVb4&%qEgUxzNaC+9jru4#uKx{h>{{aD(I7#_nKw(DRj{Qi~G- z^_Gbquc!rbtc+hp^*Kg9E4?CwLA|fQ@vS3q`wZwZ6<$;{yPl`DrK6p(m0^;9cX#sof1_ zsDJg}J%|y+*33?$xea@Bt5N@A;$D5r`A$Q#fa)KKW9eh36WGE6|o~Lk2o{uNuM=vIXo+Z!;{*2XEWQm3XOMwn;CS1!wluiKC^r+`2Q>Pa(u?WN7*s#N zaT({Uh4Y!Z%mZ=YCgbFk_Ra(vp3Q6dBmJw9fBihhC24TLhjgdAEE7Jhrv$#q41?b7 zjUGwlCyw*=T8S%txpgW8=Gy%Ez7+|Vj*@LKT4fQs`8=|}R+rBBW5=ht%o7hqg6h1d zJ~PUD*#pUrno=MioBwba=R-U{km~L%LnKJ>AkK49WCbj3h=;osj&uCt*CzNE=S7@n znQ7%kK5^tDznso@Nr9Faj_15ZtCvaZI@z`fV{g|@4 zKf&KP?t81T(z^VNgFb58G_n-bpQ{^Kz1QUqb!$(0%-f^kilo%+@%P>kaMYWg>i98& zcUCU9+VbZ3AboKgj+x**_&onsI@Z!3E-v~iNmz!$KgZC4{?T+IFH)7~Q=dkDdo;oN zH#4a6h`i|JshO)iewl=?D4t(oNkN=h%1FomKYqh~ z%l0Fkp3=iDm1#jRHR>R7kSYx5N@N$7L?VIi&7qb~SC{|u=iA+(X}Lk03>5cW{@hzY zeB0RIm5us0@dET+2gsDL%Gu1_!Sv1`0W_j}C_S-18Z#;N^vIu&>D6@|-E6SC#C6l4 zH3gLW?sX26=D(%cWamHlfiUtOJuk0l9*de`bXK0`U2L*P6g=q)mba`jveXX>s?#C zJNP0Iw5Jr)_c9>=RMtz5U!Ued1;>YFE${_f`Ohi(TG7NgM# zUc~n;UdRsm>y`!XBBe}6y|cjV*sIp3{C=1YuOKP=-wb%RRaz5w5cw{}DC!N#C&9t7 zq6f;=(WnkI<9p*+EaX4tk$TUC{9XUU4_z`jB|+pnGWRr*u_U4tx>e#9lb3uUipKLT zvuz9nQ48@tOwEL;OMAY`qI!~Hi^*3V`(zk3{B9<7AOej4G+F#b{fITXyN?zj9Ny0| zn@ZDW!6Uu+GoADX(0iBOckN#^frCDIdM8adV+p)t`gOzI{9qPw4=m*Z_qJdeAaH9> zbGlPGaj()IksM9Q%z(w=rMIzae$X1sCBk|i^@kXGieEQ`5%(O&S^bZk-OcE|o87f_ z?80gg5wFKRE8C7TAf4K}z}NoD8N~A~;*_!R`;2_*3a|d-k_ac_0*{jjso&i`tv&>< z-%bf<_}5ti4^}m$hLD~uj!#d!HQS~RWrN$-vB5wT4_^V5G*c_lJuZW|-_55f z8E*+>g2K;zy5e8rfj(Q>`N3E^!2>wn;CM^dSuCjXARdOgS`OdbgZQqiEH~L919FD8 zMRY|iA*^S`{P;vN%)Q|p$i!k{RY~xNRX`TxJQ8}LP;#D#zXWYw8d|ML2zO$bes?Jt zt{c{^9y7=T`^j^92P=_p9g`Pr_={Aa5s%-o6F~j5|MzI{)$Yox;=HEblYm z*ZUWidL+@X{xsJiL@$re8tqu70G?lcf6iBV_jwV)Z+PCY5ofjV;-EK%=LM|1YmoWS0~%cJey`K=1FE5Uvyg*G zUo%{eqd_eKQm#9$vzmkeh0s0!Yr&DQ%f-D+nZ*~9L`h%#nT&v(nuiJ<@54ZS!?eNb zw;yyc58kRm^CPP>j?BX!e4tGC!+IRO6Y>vN;(KlC2Q-cs+otcM{P5Lbi)QOU2zsM- zZk{g$oO4wA+FSiVuyErX*P$S2cxkV)#2y5d%|BZjq)nZw!G!mhI@pYExr4VXEs{eS*^p>|LoPYZz5Ph$Fs_x)h7NLx#VGz$7F z=}2OCq6mLj+(!)eo4|F6@e|iM!B2c|0-vwL`>=Su4$te9`&FA;>|8*ym+@2jECrTT zdq?F@i5FZEm}03!}P~KB}L2lRvmMfUL$`ANK__|hQN4GyHS9u=M+46uxk#yWX>OP=jEh4S- z-XDgStW1)20^obE=JrbqUufmkZ9DM68t9y;Y_CMR!>rHhbZ@Z_1O;x;rk)RmMJFx0 zaMA$am3~6ubIl)8{br{u`0atI_o))2ofmK%A{%}a>JR3%@#d1R?4Zqlr>bwp6HfHc z+-qMw3&Bra>qw$lunX6H75B$FgIOTAcDK9_%=j*9?-D|FJSH)br>g;QK6tC)j-U@j zI4RY0C0+ncSDvZ&(lW&9`Q)RF4aHGt7{7VC_M|l=dadT$?9+vpJ@g6Z1g~P`6{H$V zN1Y(6f4X%3r9YVIg&gAlhWaPhZA_MszOV7+r7>G0M=;sA`S%mjI{`kfxS}V%aFXv; znnAZBjB%>1)g?ND&ha_XJH5Wpc{L({3&qo1>S~kbjy~M0o74)G@rCDCM8613dceF~ zr&j~ggLZ4b@$?lY4L9~xk6bFgN}RDICw}}PLC>|{TcG5E1@_^Csh-D4CnCS2@osb+ zdSQoE-Aor}WAy}~b3-I{u@1!jq>MlDtL3>Fws3NGJIB}?>{pl$*`JI+b>5tlE89M3 zf5tah9rb-4yLah)J4X-KLl5SgtsKP$IfHA-o~se@YH8L-^5>8Z@qObiQi>-@`a{&# z#X*0*2sC0j&15m)iiNyTix9i$4hO7O_fPE!M|)RAj`RDy;GM3l_&r}&NNyynbJBDJ zPoCM6m*`Rb{y+RksPrkSMsd`4PhzqY>D0b>bGJ75tS1D^IFd^}^@D&To`1CV0|OhDqk1E{W*2%sL$pu7XIf!H z@5lJ=2dEP`7?qSAxpX6xz`Gc)*FrDU(7elk_aIVG?|!2>nq%DiGr;k63~{dxpDTKF zt=I#KI&9lDC{ew$u~cya>4&&KJ*h)S=|S9c9A|s4(7HDJMu7CJX3#|SRU%#)^f|Ps z?5{!N=joq)Q?|tO-R=80I?(tE^ro@E)%PE1Ba#bAy*F8!O#y`;rhlR#X z4$;#8;nRfT>@l%*SJ*>2q{>O@0Gf>($2x1#8-0f}!*)o7P1^qS0gZ|Fx7 z@e{Qe86cH}d^Ev6zVAYm@*L)>pnt8M8z>O03V4&ItR=>$Jc z^|n_bKPa3BaJ<3scKfqf&x59LsFEjP-W_rc^zB}2eSeJJgMRQ&e&5o=igz(Gbg;X? z$F2U9*?SJqPuk+Ovlb4MidvKP)%HaET^1|&Q;p_=JjVRFd!8XbOmT_gRwq=KQ-9R9 z*T@5YxwenjWk!G<8FPx2T_nLz|B|jwQr~t4AJII1@+m|3@|&(RNjZ?fjfs$|bP_jv zaM?G^q3h)hW2zI!cMAm&JS@8GCOsAG28V9>{heT?0>%-^AvQ)6@ccRSRN3$Z+m2l6%JX4-EQ(Ha2e+-M&>oQ#36fNt7)3iD!B$+Qe@3a<&L28XMgy$ z0_3L!KiO3Ng~E%7gN+*j*Pw3y$-Ca;E(Bkn`8G)3-{=D}nDJCR!bd~unz~NG0K(^z zjf;Hrn4u?fM*H#JBO1+RdH*}on(YQ#ClAC zLr=cDLLvX!)=({Y|{imyLZ7#R+i_FOkO)pG^I@m%n=Y%u6wQ^JStPRMC}X@ zWc?;Qk#0Yp7j?z+k5^ho026nx@iV?iA}`Xc?EWqGD1yib@cgQ~Al!8Cu}Fg7@Vr4I z(7XuN9WXpE;1J;+T<+S9^^od@cs4F|+T_s)vHg{SXN67^FAtnWdCJdsmS>bec7MT5 zZgM5G$M&UN^|Bra6b&16?*G;4F&@bOgq#I#bW+XC$%sR&R1Xagf^S3a_>~Z5MY!x^ zB=1#o8YFc+l%w7%fL$j~w*={F?D7ab6Z>~+c%^?^-du|B_=~XiX`qbrp(f0F2YvcgX$Ug)dxN6m)nGSIOGGA> zD*PCX>ElqK!vxi3Po1hi34ev>AJMd(01<{&-;^V#FsdZ~D~t>Rn84d5%>BY%!fz7y z5ySl^@Dta=!cTl37T=q|=j-r3EMBj}^SXkKe$Dw%b@02D$7$bCSvq9xg-BN8 zYkOQ&u~!Wbx)&&vFk#yfiOXu+oztw(t|j`vRLGx8)>*hi3LkWw)(<>6j(r|>cNGxc z3j)e4s!XBmp!e9#VRN1x?mwq_Z!gLQk=0RW>Vjl-&W!nE9I11^((&pvU*MHndj??sf1gJl_z73%%qL zfpT0Je$G7Isi{8Agnf}V4N_WT2lCG~A|L3rFvE35nNvp>JIhaH(VcDP$9|gaUT=|A z#PY1&K6|$bWAvB$qAvvNWAyyrHYwD2u-m$K&gIJ<7Gg->O0})f zU!Ug$P^P?L|NUANE{;A}x=k&N&0m!;oah&WJ&s{)Uvu=Zr^T_OXCg(g$u7Rls=eaa zp|p{=`<#wp8O<|x&6FC%$&usUvui~ed+7cB0|kd3*2Qe_V!MVHNdEitqPJ4%cfe6lB8Xj|O`{yY$`71R8UNVtoW#^s?ShS-9U|g&?5+i!{g4Xa-?t)6VuYNI8?#tm zIC_sm6LUXb?|bI*S?q9t$&&8r17O`z>ee781>tML`Pxn@pp@D#s*$c=UdRV6DJF7seg7vMvY5c6L1Ri~kPAUSNm}eJX z#bq54O!ySpBa;O>>|Mv>{^&4$?5FI@_b-Gc;n~K`k#iBpvF)%;r`81}Ov3W{^Xs9< zAt=S@PIMI~frDk-87f`M#suD#_0apkLq*~qI0=WmjJu?Z?QmRs^69%GhTkjecTXms z2eQG1OJ%%f%52!fUbdSZnerg#j+rx}|1W;eah#ncnHuo4m%&6gR0p5XC<7j^Za?=~ zeuPckRJ5W~2(`EDIN!%V~l9w#>8!cXor{_4bW{o94(%2OF4 z@a%-gn%OmJ0-s_(J+~h}cM6^iI1gFe)WlwOS-7rU;Dqq7=xSy?QRw}#M{Jlu1nWs- z4A&IU0z7`EcHftKd-pW5keiE&b5z5u5B($$s$j;}r&P0E(Cxz}J;OXzKQm*UMh}I> z{%V1Y<;GU@3r4K&Tv(z9BL`GWINOkk%VHYAX?9aig4n(AoqtLRn#BDsb@7@O?W6(Y z@L$V&{mx-&9aDYXc`AVO0FE~}-r77KRy%B>0rL4hPgfY(Vfvg=z@^*bz|ATq7c54P z#h68AHm$dHW^c8!i^~fFEfd-1^l>Gq2>C^;AFG7n@fR(!BK!>gD2S|v_vST7V--KC zqPNdV!mmAPITyYj!*zuS4?hzvl7|z43r*}zo*3n`&RU$s#IL(b^nPwI2 z9hHTQMcam?MJ`M^io2Vt4%s-8?KFtaC?TxDWxGYaN^)8fKy_XEz?O?&NJ>2owN z^2p+q7iH_6N>Wo4>wLcza6e=QKli5|4Ki>{_?=R`7AJPDLn$RDTLilj@Zz@j%d-Ry z<9vwc2chpCx(MfSVK@)sJeM7M%H?6_4dw1Gd1#YSy<>QL54Iq4VwmKmCN`b9(PGa?1vu~g>kCe~?ji*9 z1Gi@-IfYT&Pukz`5CKl9#SS}EC)!-w<1we8i{W|EvlYX0i9>rpd|^~Fy;%Um^CCLg z3C)}-UcmDKJiihW5>Hd z7h;t+kH-LaG_BCo+jxlZ;j-YmoB)>>7k z2IZ%iGM3R?^e-_D$Ncmd;PGv`X?x1;|NQv_H_1ivYEobyCMNc|DH%#KKM9>LO9cs9 zzEBz-B~aq#JfEuI1wS6u+vPgBVmV>6A@O@qpV3n1RsD7rSbuAc(LnoAM?Z<5F7wU? zk#1%Iir^GDZ~A1n@Z%KlJbT5f>|8o@(#xJ6BQJ%Kp!cWGG^t|^{t|nxH)NwavcT1F zG>^4EYrJI^`7T)`rM^ESQwZN3PxuR+$pPFS7WWauPh6K6KXIKCd>MwW`c0|)?l$-3WzMHV&{J$-z@K48RyY_*nw*@T1M}~A!w28+A*}> zN+Yi@){1SFc8_g66xQ&zPqf^>V5_7BoYqWN@&o5#nv z(H`zbbH$IqkIA4$R-^8+ng*=`>jizMqT$B+5zK`>30%)NsD;dC0H=J*V1`E+l!@}v zzk8erzErKW8mjis*6*9_XL6bOqIzaG=I;r%~ z1_m7JLVfWc9XB8UK>k;;?GIv{gW$*2J^DLG5{T0#rZv2=C=>Eue;a2&?{f@6CgoKh zju83XEg|l+Pw5r0g^RCKAMA~S*~3*_Z=A!3`za)L@3sB!P&oeUK<2I$q=U0*=aQyd z1l4aPZ<&$jg5dC#vqAfdz(gtR`r{5U*nfAiwobwXmZo@){`U4K;+4Ti=i9$FH{$!A zGYPq~M<@rhkGU8}?8*Tq;lonbF1lj5Z&O@$2D0Ey_>Ym`1KFTz=5O>hI1v&xPHSJg z9S@UMi&QyVv7iwhd+n2FF@Yaz&yyO>>C-{!cHxbM=`vVNdRX>=Dh^r3tq3bO7e zC`d}}*JYR9E*#2GU{#K~!2rb%#5pjXXiGc!j{xb~uNB)QF#U?sB zZ<5O37B_mQxt>ShQ~IG_e{3CdA@eK!CC#t#5F$Ms@GzhV^m0F2-$(maM*HqiB(}xC zg}BGur_ek-9zR?S#4XjIIFsA zUG?etXmD;@bUtH|2v>dxCK;mszfD>zGs&nu zw3lAlY%x!RWf$tqPpffIsi@J#!jc8CdbVlnxV?qy9If)v?YD zs;aB?>5zJ|Q3oqchv-d}%tC*pOLL5)ny(`U-cRdSHJc&*m;d`oMXd0=il>QO-OlN;{?Fru`^ipNHpDp3EPlEkAlYcdv!7`fc&C!z=(#`zG>56qvG zZXG_P1vn4lJolK6zmX5=H|%>i8}VY+h~QtG7jd3-|J9^={cH)0eG(k!tkNa${4NJ4 z=iSU)IKl1lZN)1E;ymss*OCMiyo}>l}zj53T+A@jL--!pQCaW|1QJ*)t z$o&I%h$UR5>ECpEkO(Qxi&rU-E<_5|9lwr^yL36le-oYdC{%OA9GQpnM6K-=T~-r z{67WUFCq91&l}>iXIhUjyJL7>@QT!bjRg6JPLj61dS{#g_Fs4(N%`jh<&6O`&lA~T zm~GH*$e9Csza-B2_T>SrD%yWUIN#5|DumTt2kB*H8o$Ca5VJWfdi!u5JbwR8Pec&) zg+KStR7@kiy1mVgnPR9;&A6D+#FPpd7J&k{w$k8K4yAmbY8H5rM0S!PU6moW`Xiri zWx%b2^}36IeNH7wgAY${uTA=;!d6PRO)5mgRWhH_pyRO+Ri)=6 z(vb{DcGC!w-1YuHe?Ivpog0-%Hu7t%nVgi)f3->N}z3eL6+@U8StbWq}eeqg)LP! zcHNchXda7u=J5>b&qr`=J=QKK{9$pQSln*{KXLs!T;~MehsF0M@cBBt4~y69@VxHa zxo6!JnWdm-@>K4USq|`Ia!%|$p9AMuYb6*Y(H!orjwkCHC2)57RGqO;IlN;$ChW|b z4?R+8OkzTr;54 zL|q1te$nj{qt1cWXHvK6kuU9&Su)A|%47(NzDJsl=F@3?A`bQ-pW}MXlL9`7?_ZW# zM^Vb6d4Bc5iZs_mpcy)_?TYZV<+WkSzU%ogf8OaXk6<)}oSR^)T|oOROb3+msRE#^ zsH3(;<08!Egh!Jg-IAf~E9^2)l7N5OOj@Tj4~DE;&4u1%1Fzlg=8&jlu*je#o7J^} zM;DW(oRQ80ex7?Y_9yRiC>#+svORec>oxw+=&f^>Bf3xDI6(zGG)nz^xWDRHkJQnz+15#9@?YX@XKy>;Mt!XP@!d&k8Cc7 zO_9rC3D?5lu()pVNyHEM`7)A6UTz`}9CDP&tV}JiAZ^p#jQcIH|H^kHG8(d^W*6)* z&%}QZa|aS2PFP>7c@sXTu?8$#MEXI_X`z?y8#1HOS`SngN* zT2EC0V)oDUOm_irzfaiLV}1cPt}cq-;teC>HQTb$h{QOM_`Y$Tbx+4!i=lLfeC)7V z34Ey$+?Bu*irxJ1gd%wv{oY6_WF5##VAhyB?|ft?Jm^sP@X;_0>FoTaAP-N2bm1ye z`JWX8eoSW4>=#AzpnVB_mrcE^pvsF;Zyfb&DJ48!c9Eunr_ZVJFK$IJx0-U9_jf-0 zHgGWTL-|+A#J_j#p-5+=ZCoJ~&Cyb1OLM&Ajt3vE3^Ep(VtAa8$Uruw4Wzqi^qJgK z2ppWsF5}jVNFne}?np&-07o%#53GFaClpAFfO>7m;OzdJ#J!s3^Oi_BSpd6kO=Z4I zM*59sB7gNs#ls$Bs(R|2c;cSpI6GeZur^{8=@n&}X$-|j0v@lAF1&rXsNey7u~xsy zU*!|e*Rjy^aKV#!m`)~1jTVY0;sTEoY3p_BClz4?u2W^2Y1L%iK)Qq_j~qpzFG(UD_~iEZsQnBA{dSN9WPKw1=<*j(&?H6B7W{Y{~~Tl z?*-q4GI{ft;=t!$#;GaFO4uh9#-`RGi0Suj%4_9hLk@LC!aA!hR4nMgW%mLL;ZO$KdIr)-@rx*n@#e`V zcmT&69B-RlsI)Glg0#K6;FF+V;=hbVT|PS4;amwJggCeo~d;dlO6I zkCm!@kjtS<0#nNmmvqmhftr1!lpNsvi}NDRvmq|)OS@Al!PN1!%jZ0K49D}C!gP|9p)yci)6G|H$wGR52g^** zJ|51?I3B0?n#^p*#}WLEz&!IGU(3S)axsB2bZt2^$$EVfMb9m zk*z5j7=q6f%PpKDc;~G0`d8ML0Pxvo=~fw&&f7gUBZ-eXUmt ziM)uFjY-lqsS0S6=toTcTqp7(k{L2>>X||!AHee~b`>?z`^}XEzu|eqCaH0RN<}b+ z=LMvr8LDSaCxY_xss?ZG1W@yK5zf?2LHl!;j|NjFAfM~HEjy$KC&t)wQQ>A9$bTet zuBk=){Hv_aPx;Y)T9{tyZ^1mE9u!;HMD?9e@z=UK=)ENJLj?OpZ7(Q%t8ugt%{ipE ztL=V~8wu>*KBisWNLTmBx^+!Az(AV~}Zz4E#0@w{-zR52UW%#4F{uLUv7x6c3P&*z=y zIG$aR29!o4>(}MdK-tsEG?oJG_3yLodP`{l&zXOVS_Sz6J73K8g?T4z^lQnnw`hOX zKD?)hN+Szo`YV!}kHo-c*%PtWD3l)pQ<~=`q{Hi|F_;;X3=17mhgizfKx@nC?Btsg zaFkAT;HWdg)a9P4mDy)Q=SiESz17)ZwO5Wt(IX3Pe;nL8++6^M9eJ>5r-V=V}K4SQZ>k{Mob-2z6z7LDC=p z>Til<#e!w_Uvi313Gg!V(a%Y=S5aDQcYwb=1;%*Sv}Bjlp?Fs3RQ=}|AbV#2tDrIk zMy~io+;q)^Xj|3q_DI)7Wi+8kZw%>~8L-Y?f8-4*atY&0x2{5S-<306{Hc&`%By57 zh4!E*cQwYL`SdES8{al+QsJ3V11Vn-+6Q9HTU5uEF3{F$ZTjRD0=b1I!`VNz3e=@vrpfnMK>3;Q z^9ilKM7-)a+#)$==R|y8Lz9@JBg{GAv-Ih#IpQmBNv)GVoE)%(>rt6|60^W2U>AFk zO%^D2EeRjxN`O11$6Y&n6XBQ^Z?q%Qq2T^!VAJ%Wh`^5r*ModGK4ic&?aBIpM`bWd z+nls;FBpWBMh_cwMuJVQyW$b4EYP%b^s{n8dLUbe4ytdY!O_FKpWb|o1L?;0=bJZ@ zfTOwnNIx&ypB|{Z6Re#JF6}f2cz4@CPwtFn5obJsgPd$SLVL(U2)y&@MM3*PFqG1_Z-LB zJ&qYo0_c9Ycy#>fobe^*CRpdM`q14qhpNl*zZV?;_k1TK=p40MqG9&Pv)_SI;Y3{E zaUyGAIy!{rI&oazES&J5sVf8S-{ginw0Q(RF+>kl@fzg<#U@8ry$9OQz3}iZYhDq2 z${MxYVU2(*4(yDb$oHOcnw@X5A&7{dB{%Y4nd2Uyz<;$W>Q@w8&`SF-O;-$z0Rru^ zTfCT$Bm2m^BS^1~*0!4a#cA*pKJ@V&%{442OR`z2@fzrTSRo&XDFw0+ifh$f4-)$+I+YqCQ3YP6Orp|M38hH#pwThkuLUjYazXHa+t! z<m3B{j2eF2|sU9Wk6(GFDGvm(xuz^Rr2Fo3BgY!QAXbx z1{1*N7t`BhRKK$x&182#^=TY86#A(zdw)gvIMSFUt`i9-vd)gVw*8NXC0XxlXYEP_ zk#BD(RgJmf+KYH`Go(Af_bExB%GMaW|IwzoY&ZcLlis;~Icp5Vf7^G}X5|vNjPq4} z{@azl+eq($%b?;^j}ny5g9<5=L=) za4O$1FOtAvoDcE*z@EA8>X9xpzVpVg#__n)STsB?8O^`{$KN>a zzkBfZ?=P-I$PidqC`NkjJgn2szgW=GUGq6j_PCBC||>!H2B>jSg+UM0?aS8YogT(;Du^{VBm*b zDE*mkfB$J3NU`1NWwOWw)|cY1B!75A8r#FWwd#K0wPRKLMK%gPUFSW2);b>G+Qpd;rtt61(~n0#EJXE;wSDm zf$I|E`gOR@3BC`D?@i$Ib$A~Zuh-#u9c`pHRTgJDunq47F(cjFfu`Y_W{Vt{KQLt% zit1%|^Gcn9STf-nujd|(mLzCCrmAX<{(p+D@5qyi<6*yQ?)G$h1RSPwYfzd)`^2AF z{#2m+E`;Hq@6HzL&&^lph_R=`(8b`k8$r>aW&17gF4D2nept=WcaAwePHecs*8R8bjAM!(yK4X8wx}E zOii7pjO}*b5H;b`SKVU;SIQ(EjxV9VPp^G`8ts{0OHaHcFP?#PGg{Ywp#15`VfA`8 zzZh^Fam-(fvw&o7f#g_`AmaQL9?2qq+8;;;gzuWv!~xB?nCqosv=^15^CY;<68m5p z<`95z$>!ztbsw~^IluN?@%ir@$X%{~SrZ-)&vLCr7hfeqhcV^zcW2T2@wjQoMt2&# zH4WU~-Wv|v+os#qr!&BAu)R{h4%GvCT&gWzWP$G5v7eWMlEHEA%Om|8sJ~@a((Fou z-rM&~R_mJ>Scn?Ko<-Rf6^yGyM7YqrCWXW>89>9O^r>aGoFD z7YpP+o9?J477_RnUXb+Stv}lLtLSFSw=IKhIjv8 z*b0^!eEqgV|Mz^2KaEM9MfISQvgakY?}QU^fyc>wf1(dpy)S|5Bc#W}E&i24PdT=l zPMt^KQ>?{|u(f0kh<$FmVWf}%!coC#e^4JjZG`Xja%lue9PD`&{y7?!!qxWvattBj z=f|ySv*BTPko{U8WY8B0ffbyAnoo;>B0+TSq81NU^Jesum3JywA2DM(@l^x%2*v(& z%5cV{dLK-)23`g7$KP$b4wgVJO{j6jdpFFQ_dDy955mX)?)MdP-={m}NT>P&%Q%fC z+B3a8*SB4Z<{SRw0UU2|yrmdSeMO@l12oC`TkX2&eXM$COdr)>%6}R+UG={LXI|WG zlSc1bE$O_^Z4zSPh;6v7@erCfQM+NFlwwW9U*IeGhqePzQ0!thq-himbXF6w#j<%& z?5;t166r7+EJabq>LZ=tM4OO_B&w_K=#J8iq5d+C8@gtz zgZn-qJ-f!#Jie81D0;6TcS%2$;NicU#XVvI2={hL8qRWaf>62~o%68_@Sap0I3;h1 z#aLJQ1x6*nW+cVPS6xH!dmyeHHZXrDh+AoTz1Pj0BEj9FaCB>0+F^@=(-npfbc&VRo~igdmmW@+NB z@(F%=WW{JJmhOnD$ukK9(y33GxwLYLE*4sMKTrK?8A;$U&WCt@pmQdR%5eXAz9ca?QLIYZ$2>K7)5_o#lbIi{w5 z3+2bv-S@0IUHu7O#_{+=`wPv%iU@+gaonff-kx9*O@v9>mdoX+?&)G)8*&HLn`JAg zG!14GV9jcA%bq_HmcMNGh$bH+c*km>N{4gO1$_DOy}py*v(JcahJ z6QiX>YX?#P^1r<3mD*oMrhqc|>vouuX{>qREf9z9- z1{VL;z70npeQy#^gZyx2XMe^#%MSp-s-Y3x#V`mgF!f7X@`PD~u7@Ut!O-mKXZqMQ z1h{0K`%KXM-rtm6d!i+S!0|_|)hVX{utEA(y%~O>Xfw)@=o<`|)h%Rcv_s)g>Ncc& zv;RMTe!!UVlMP*@v-=~5-ozg1=)Pt0EI>NkFGVWoHv?@D@}_9(XJkKz1$3-bIiZ8 zk2DFaB#Qe()l+~iBv(8J>9yi#Xz0L-nt(gtC+;JL`%U1w#JGMPu5*I#!{U1r_!xbMG`6(0@BQ2VK zi$#I>@%xAOO((!@s$0Ayxjr!Ne|_NkXaqE1XC61Xx`XTQ13YhHt)Ql7?!-~V=X?&f zRk0FY;CnyuY?yc$yd4Rv2vdp#-U_r*;em8UgXZ-etHoeWZAw9SZwPUE-Z{xrwiE=1 z7fv{mBb`Rokdy3l_VL8s61pK+_2enqoAk!*f<_{Eemr+)*qKr@3wh zejOTA!+}0TydL#%^re)!OnhI1zhTa7XpWNod!pfjPZD^IpdTBu7kl5{sTRzK>bds~ zX&EgO;p@Wfj@nwZKiX>e=+l~53?Iw)cvEsx>x^DWqdk(=5WWccml%^vx} zOFF^#z3BaQ#nsr|z?cK0&{*Ngz!JdiZQlC_+?E)*U=4rMXHjgF@#JGZTL(xc8B}eT z%!BNGGZd1w7qKk2!`@@|X~g|*KEgjWV3Y(mK9A8=LIPyR+Ep?Rh7&x1;|-3t{f~rg z-On^N_)$Z9Kef zImN3?Era3l=N$7pzoWqmu2Hp!mzCJTXiT1Fvt~M+c%81$^f3t@jSP;fqW+R@wk=6= zUk<@fm+RP8WD%~E1+UZv)h0sCnNMcS8HogLe6BnHR`8QI{BTTgH@o8o&bxyy6{9_6 zoQJ8{*aA~u$AOpqgx##kDU4>-ygGU*1BUnBn_E>g0TSD$F*@pKNQ>1BNE5dQopw7_ zed!DWmvO%GtxWiwzmx*=esQtGH*K*A%0am}eujp9&y;$NBno#qk-jdgR-7=0=i4xDSZF{~R%c=FV|`N~b(gX!^( znGRe8?=+i5o*|Dv4-3DqOZh&_1gcjY7RiszL5sCxZ+x{6FwRuvj=YQ^@}k2}PF^=U zPypLMxm(|pXA*hQx_*-9z)m!g58(L~mm0EQsmLMt?f;SX-Tzqr@B5O<%B~QKO7_f% zaEh#iY!b;Pd+)v1ZSPGeBP2p~lgfyUl!}TdA}S-L@qK&Kfc|-fe-n$+bE)uc4;P1;ryF_21IjL(mY`BT3@adP|1J}RlaF$+VyTLCB z3dfEgJ%2tO>2|ntlcTwxjFU$$9(u0}BSU;lg??pFb9&K!&(Tu&(b(rY6`u`9Vsgx{ zx#ohjkDnpyHy4OKYdrG0F9@2BcMra3i2)C4*TaP-Nf5ZHS@;zFTprupuV0XFz&++) zBGHnmuzu9)&Q?n*JnML}l!kntLXT^=K50aKd?w~1pWn#WFTu^%fHVf!Hn|y|As@5M zcoC8r@?`iezg}IM@AE%@zSNA-W&Q9Bc=}nRyjVU1DqdPMQ}$+nX^PZshIkz~Rp=wh zzTgjgCrqa@D%^==R1v2PBT?OUqUX=|w|THdA@phGU^4h$5&q(vQ2?~wb?+_6(xFIP zeoh+Izk=_UTRXL9f<+WLt?+myyc_Y9*E?hd5zWeS`t${$rlq;P<(ChQMpthYU(JQ+ ze-eb~n`OXZ^K)oddjTl>S=+Eo6v1SBd%7g5FJh-uEDRj}=>yn_`NLv9Vwm3qrb~?J z*I_y**gh<_H-XL9VSQMvUWes%3*TMNH<^_}(t{eOFRkSupQJ^qKKhjoG0cLp9*;s{@5u|t%8@(Q4_Y1D@Y0NAk6DSR);Hen<#0
sKv zlwV&DWhYmItWDXi&-eU6-@z$5rZol%SIVbCstaH{jjaUNeLj)VM#3(J>31>txH z0kJgxtVQ@e$T_UG%d{aMS`Aq%Jk@XD_iD+FXYd-D>kIFRIQ<6cU?-&HYIh67z!t3} zg+0=n$L=|Xv!RwH3WwU$pm1Zv#r}O5VDaijt-_l}s|UiCCJVpVOYrAws_mH09G(o$ zMjvK*P#%oM1r{eH$D^Vuq9brzCo?22%{W%W=qI%kToR=?K0U9=w!Pwra6Y?$P=I`b zA5LCskNi}Q{O7tpOd|blxTa*j>unOaalfq+PIt!R=WJ?-Mb3f~6#diDKlB&fN1sa^ zc4HODfBE*Hr-}&Cxv$Rh#>E^UK3_2!k2ECSU$gCcp>Ibt_9)1U$o7I-Wt#YX7F95n zx4MB z#a!RrM3n|14I6!BB-y~^7WP)+Q67#P!}7bR|CJ*h|49o?qaozC!=ExJP@RGE@cN6q z6;)I>>o5Q8Xk;crCZztD4*VK z_&D)EM-k4~jr>LV!f%UU*C5|h8aI^xI{FCf63TIY+UC_zK4`85FVATA#r=taZxdrK?curwp?7X>2Hh^f~=IZHdIR9e2i1BRN zBDWC5{Yqf77U@+y>W1UF*zyMZvRM)IQalit)5(PJ%xmxB5UyjqjN!3xgyHRN#}u5u zG2Fk`$)mABfplvdRJ-mrwWsuQ2FUYV7p*{_cO>&l;^!?foOj3v z!g6}VonZgmXh=|FIk4=bxSybl^uG??3%Z$t_Ce`ZG+j~u9LtN2Jo>KCl2Z+*C(8yS zCd=@=sI>0Ip@`IMJRiXFE0*)>AMHjeael+{hIGT$^^&)4L@Y0`JfQYGJw6i{HmxVv zozmeR({c_UXErE!$J`6}hTbpZzQ~xHW&!E#tWZ~jY&d?0yH|MA9LALQOUemW!lIS> z@)3mVkz*1(F4Xx@tKH@2gnR>2j?H+s-ShGvUm5m3dzzD@s!(`adU4C1L-Y52jedVJ=b%+1;^A|G9tLnY8fq6|iYnm+^?n;u} z2_8m!tCyVosW~q~^7z|#^MS$e_He9% zPn?}PH{*%{Hl_mEvrxW4d+<@4Kk{?+{j@3fEDi3~DOqTIkAw6}Cp98e5lCcv{8I{svT6ha2)9|r#}?jKzok`REN?(p*i;4Q_SPqtjTb4 z@6zsP_bJFe9Hw0n6u!7m^_J?hW^$3=QI%IR``A zm3&}v_tL8qLAapV`{?>i8T1|1{NO;90V*>&?>jE#L1XLuobZ=Q(6g=3`zw-%=F~?g zV~?c)9rHCmspTT<0OMWmc2Wl=fn@pEh!7GJDg^b~H zxG!wbe9^87$Yp6`L}08+*KhC)i{1+riJWH@XG<#irj}X!0XehCI2HG7_;mp1yV}EZA|Ra!47{& zQQ5UYH~JqAs-9rkANULH&+Xuyo`Axg%KB3L9<)V-{QcHY479oeH;9Z4_`T8&9q|ck zE`@und!kB^?(X8Timl$fco0!H>@7c^fZuZrXQ$aBF7}}Jkvt&_O?TA4#p0Db#9#a0 z{!0*+E+d|T_G_@`8|R$Q@Cn6*mawnbMP;O0uoD+poEYnL=nwKn|G_FJWzYGlGeQQAwseO2InGQ@*~0qNf-Q*oTQO8~*E1s~*5 z{Sk|wNL?q696dKEs+E3!EIa|U^C{dshp)rWh^UtyW@5zG64QoHoAW_6vcfRov_8>( z-S8v%v=gyY!oOYQkT0~#{AyNosDZJ2&0RG4Uc}{~%|d~frTG005Zt#-=qv_?iC?-F zC{GLiV;5}SoQ?AUhBp}AvXKbh{DbzM_Zgdht9+FWU99ewAIpnio!a7)!(0H&9#i2G zy_yf%1ivd(gbY|)X^be+M*m&mF3pIfBp!dEM@00iXA?lkq)Y6p3G(sr?j3JlE(h-# zWu;=#BCuziSG7TVBjlCuj9s~EaDL)tb zC9x3nSF9@>=?e2d&7~@N`5zBgU*fOZME{>$yF}ieQVF8xzRO(^F=f#C)012L=N{sP zQ{|16>RCYZ*Rq(|+8w>O8I0WeT#n;1##axeBHo!IbvoB#r)}-~PQ>QBp)8Meiy^r( zkeV|V{ksT9_#3Lrfo{OA;b$k(Wxu&^S!5mUTkP=lT7ADlFHIQ~%I@85dMO#ShV}2b zokRCwho1y#e$@15Dg$r(3&xs4R3GpBL7zvO4vNCJoF!469>Zab53&4!Tj0i)^;I*R z2Qi-0{FbXCR+)$HFN2}cZx@_@FR+K*2=i!c)s#VI7flH3}(F# zilu7iK(kxI5j*7Dgz++l$9d^Dj=Vy8@)&<(xL@fV8Lyn24i@BVN$aC!;HFReNbQs% zd^PHL+{c#f;{;ffisK0o9qBvb_ZTHS+6woW4+JK{-H9hZYeW)3{m+%w71Xy>b!ne#RLTIQJ^dbKq{vV7QhXHqU@Eky zlQ*=ZxTDe(*U5^C0H^4x`(fkAU+GP2nz>GPVMK>f+GV;+o!$d7*K96ffA ze-6zV57cE%JMam^g+vL3)G1@Ue#fS!`8e*k3=BC@jBXu>f&49LnJ0{BerxA`a#8aA z4lRvF`tFOnY0}f6{B;EVz*sTdI_7-+=goX{&lrC21Q)~fvtK2RNZ;7!v*qQp!m>N76ie%zC7k^zFI6ZcnBYzbOU7#v}qU!FaY=OAmWZ1nu{%o5%KoDf}AXMk#&v#2Q*TP?}Zd{nHX z%fAG2Zmqe`Jc>sCgV#&%ApAbgy#Lkf^UkY(u{3pMH9FJDw%(qn2Rjq`F3|;JYSdZ|VvfmI*-@L(5<_LSdIO ztvgZDn%7SxCl|lpW+wJ!bmz0-P+l(gzI^0E!KvlO-A%xG0K*#$Zx4o_EPj0|5>Dtl z_$!H_y^eifr1FfjKxEf!!r|wx@HADjZaz9423u@n`7S3yzH|JW2)!)$wx(P>Osa&( zUsj`USx9p3z6xed11Yj@9|}WK#=#Tg zn+BVY+0Im?Qo?BVxb}nJNSEjW=kH@jE)rip^6oSoOosf?#h*cEkiLvV9#zNj0>E$? zmxwk0%=X_D$pS*k@NHV!40uA;>UXrE0E~+V|F9rGN`osb z0fe_XIA5=3msnD~%7rEEUaAR%k6R;Bb=$j9oqdO&s2no~-i_%Juf6sdXSo>-)2TVK zYs2wSOqCk}D1XIp7~?}MKXCk)vb7kchw~uDbDi!iZ}Xk;~Zv=U!6 zdAkVDi@4Z5cr@O%Kvuc|wh$PS8@;rxc>4Z2jy>XgWT7RwJdl3`vP^#jsuHjTY^ zM?esDR2c*M_jdf)zDr~23mIeYO6EwSAV_~(zke+P7>lLjGq|jYs$E3ALNqsgbk}=_ zL%x~d%aHbZX(17M+CwSRSdt*S^wrgp>ElF`M-i)2V$KlbNC^F+?+rmKo}WLS4}tGb z3y;6yi30Mm@^iXWKJdWy3L$+f47AKL8QDz2p*!v+>0Uh_kUXEJz=P%)TJoDKTt!2m zc;JDjk$o^sIP0$-r$;`N#zzkNX+^-z>c-OCHJAVS^E(_!7@WVxz}I7nDJRayLS*BE ztlP+stBcYC==Jo#Yy0ieYN{LPPTmtL%DY7TnUr6ia3%o`D4tz4xQyzFUB=ay9|nNe zteyHVTf`F*CKLCqBVg|N%=1~QFzA^Jd)&$y1KL-k$*qR+fwN}cJX59zyd&+Lc!2g2 z|M)8S%Ok%(_D?J8Q6}-A%TbtCJC1zIbUXe?GZDb@=h4j&Dddw{Tc@UhbkeYME>UIQ z@Q62HXC}Sn;W~6*Pclvz|AHhC;?Uw^4GqElVKE;u%x?nICC2pYFr5=@9~Rr2z~<|) zJ}g$R!}2=mfTfy5Z32jXPIgu%3jx)!eS6H$gaKnGdG7Re9|*29AXJE>z2xrOg|`Qh zf4DV6k5pC`oPIp|%KSqTSo>QxjOE3E*p>Geaty=a_p$!efRS(*ef+bEG9?uJ8r!~n zU5f_(M^Bf2pgF$Pv*gY#8IhpP`_<+?ZydygMke3^%&_mq>x!0cZ3g@?}nx2F)OW;~e#FWr~5Ht!|E>`HP( z{vz`4YhyR{AI^j>($ad*??J56X5VYfhFk{lvi!sXg`bg1|t@~7x#QY^~)^z zZtd+H==o4%Mtm*?hl}**eve!Q7G}SzRS<~BD_KWg@1lSu{(U)&cm0~S$OLM$PdBK0 z2+*W0n&Oxt4rB3EgRaN2Abx&d%W7>Z$a|4b9u$iKxzES!=Fq;C&E3IyTKOoD5Fisi zRF#k8M>xlM4^K+emp>~r?1S=M#@z+YwKu!^uXofX00RpnAIRX|;4J zj)T0^WI1QAp2zV{Tl~pMYJ1cN*|`VDmIZwN=nz16CF#3MP#J!&_BTAQtx3&e@bn<3enap zFX8TbHvW8zWyq}qoui;Yj*a;c)ipdWusGp%rnBxu`VAPat25-UYjBssTMD6+-2!Nj zX9u6E3+}wvama(FRU>VVqj5k>&0ZS#D+lgy`B&~v4}+CsGN1pjML?;=Z|(Zdt3)h* z+N$3;oRc*Gu~VH6@!ElK@!iGC%++~tAdY;>=gkSC)ZXJsPf(t9L|p9A;Bk9mM9#3i z^b8p4#y{4(IaB0pjhkr}rs0bAZj+l=-TiC2Uq0 z+UQotfyFv2{i3Bi447^2N)!C=eH-H|%QWAi2dFMBmA#gzcgvM{{8xJzDcZx`d|xR} z`XB~ejLG*TbRylq;*q;I=VGAhOJKshcoxpr7nUW4rq5?0my5SnoErh~DHrO-JW#)8 zho9a?RQ#2jaEI{=mN!e#zNmqwSDqkS6r{5+F3hf=`Mw<-#`qA+4~BU?Mrs#LaUR5Y zu4&NpT(ETtOcix729mq|$GwF7!j-Qi^nkMs85NwInngY!3r`^S-+$LY~|&F<>Q5I&imR#EHBs_wJ@&FhxUOQ1$Twri-i$Ns=D`iDCt`=a1q;^2C<&o=NERR zz*8xX(j-x&Pj}%AA*TiT4yx(Uhy`W=TYHCv4BA&~b=cqgW+M@Jd1Gn>IMU(QQipw~ zHS!6%JNTxNCkSLN^TMWMEL`p0&5?!nrL8|?vaXRQK+4o}LEX7{`2Kj5LhWH3e6U(9 z&*+Q;wIF_uU3PKE-`2%fSvv|`%uVk)Cq#ic{nnlWS8vFzSv*jC-V5A+(4`d)gu$89 zcUz|4SpUzTU+5jYEm<572Rnb{-7ZFcR%c}ACqEIdOqYE)t6nG zsOLreS|M3AuZ;9gS|0TcH)O!ziN05}PgB4}o+7X2ema;8zQ1ma;9S>3UnOmQL#uu`{IIbD0e3_MR29vA@$63zlc{ zEBd^`fva?szNsY+_lL!N#4x`JOqUqbufudsuzgr;ZvvaI!}_pTy$;LkNTpwC)N028 zpR4eKpJxK3roZrznG1)8BfEe7K|0n(YJPId*HR$G!GrI)JpoRJo7=r`i-q36+bWey z$nQ+E=sXnz(v1!Ks@Coq4fN6(X>|YMpkZyMYZ%4V$)B&Dn?xqS^4{*Lvnc`aSYBoC zcT^uV(!8v1rICpAD}H~rf9nIcZ*ljIJ48WRAD@Ro!&Oj|=1c9pBuVVyb3fI5G#qaC z8lG*{WbO@F=>6Lw%09Pbw_^aMU!b^YN^RHwqLH--n^O~XmPMM28j__Mv z0tZgE8kt*ukW)x+bY|TK67#yGMibqL+^(OiFNcQ1cxuNNSB+%I?k-8SNAsp!wYL)L z{lkFP&uF^IFC2!wsC#XAG9ZlL?`>3x=Js<~Y(^aI;87FXm8R?nSSOD^7o?U1XKw0F zCf<$*Hu(}=u|3`}^zCh*2%2wc5{mbE&lnA@@2eIJuBO40@qyiI)t78y#E1 zd7L;9{#oYPx;-AR9gX`6@>{*|@7wABd|3e1g)~j}o#rJ^hc64og&e;^h{_42$F)3= z9#Tnb^jS1lv_U$<@(1B>F?V^ijdUo|Nti!=Iy3^F-TSSg8kmXW$MXD_K!fiDsMaQQ z38A>zt?tD?Di;c6;;ugy{9-}N_V*hjQA9$x!Zw(uTC^W+^43`eRRh`|qzx|Sxp;W!9CI(%PBCF6L@R>VS z=FoTUIfk>8j#}eMIRqHpWBNo4Dcxq+ctSYe963ASZ@UWe1CSFY%t>Tf!CD9 zvXRIBPoL!f#|0KAsY~Z*BI=!RT$jD^PA=Ri6XXZk#V_2*!12k6hT>D`LJYik9l{p< zJrqQStS<=kqdp+%2PbAUr?O9M(mh!u0$yEHRbG6Yg2&JJiZtH}@{jxU<4eKT@lbfT z)>qN*p9M)VRJ2h7?8MK`Z%)sTBB36Yr<6v#2*+>j@0s)RBH9NCjNcZL0EUBM$0(ks z!OGmzYgrFHh$GYWt*uBm9=qQ(Dx7l!w8wInn(4`7PAQ^7-*eizK&< zY@DBts)MJ%>0sbL#W-NC;|VJ&bson85^>yUNN9Q0N9PNEo=m}$(P7YMMRULXNfOS( z!ROVv(k@5AcUObG-c0;N=WtWYlf413hecgCS=E!sHd`X=xq@`0Z}l+_KDQ)t>z%9+ zU_m-cJAD+4uLf+s27Qo4ItIbH+L4R)Kw#n4`u;i$^!}3T9q%GQ*X^n@gEXY?(thH= z3QYi%d&VjC5Rrb=4qtQLeQ5KEApvBCmAcP8j6`|hYwj7O%Z~9=4x|1^h<-S+zW#^m zQT|9sd8ZMfDjWfoTB$$(L+hP(b0K1Q{?}WSf|WiCHk$P198kV0&p}Sl{$3jAWekrw zzEJ9u#k%4Ajp6=rk*f5o%5k968+@GeR~pRSOiy;4@q(QC{Qa4;;b8YUsr36Fcc4Aj z7jjmD1LvLDIq8zBcYfeN)0^Cfa46>l!zxop0QB5ebUI%i4B^zZE?-eTfaOI`#wBvp zPh|r|j1bGE+gW&CbiLC(%auL@&j+yl>W1qG{W^+6jNh=l;qGXzlj4*=5z7lIe^|@x z?TZH9e=TDMD6cUaH5w++65#8hp_^uY>2T=uNsTo{0$8+5Xx!>Xdmx|IO#B^@u2S1i z(+xeOSM})JXgu2g`{I!(OJ$S-`5*88I97r76CC8@dU&EiMJAypXDI|6muMd++sA`a zU~WS1bR0-CKG0VqCITJp-8*%~iNKiRF4K^g0NdJpS341JvyWxbjVLC-5MK%5dpG(V z%6I&4*<&EkOM?Elx-ZN)Q>o39`+#-tE6G5<2*?=f*%l$O`=39bGh?QrR4Wm_k#4Ls za>gUyp<&~+z+~WycNLu7&?GL>Xs@#JIm11N-MeGPyoo|Rcb{xDq=6xIoTGt77G%lP zyFYC}^C&0sV&YXZf#h)Rb9JN#aG(RM*M7Qu}F$ZXlkeACX0hGyb{KH!dZ681A zq}Q%8#c&9jX^0}TJoRe8K zHz;x^u6$;wr}_{9Ib>XV0jQ2|BYpf~rC$b|5|~(ivlI?*J0YZecO(onlU}EImI)z| zHxzPA6W~VowCJ7<2Qbi}W%-2o=9@V0iEUP1Xpub|59?rTI&IS(q% zQ$BcpXMa?DVA9x^NMt`$lA0P0x*6}X|8LJ7yPw-}P6@&n4T;hNZua76o|rDBI{DIA zHfXN%D&9eQEn`hzyJ>G{gA~)F%43#ip#H{p#TqFAqT|OOl`LIOc)VT>knu~?_QAie zEcy5WC8UGa)xo&5YMKFKG!IMkQ^JV*^l9TeQT_U#=-YKzEzJW zVGt8p%VmT7f`3Q(4JjPY#_^-cF@?a0-Yv7`F?p&PTqGA=^yxVSKhDuFD|e+p(eDdl2QT?eg+k+Bxtf*lKC9g^k#ArtA(C>h}}G zq(A!K^oIUDW!{{Zy@?{Oae9O5k}#oYS91aB93Aea7yUQvNfZ%!KeH<$5x?Ktdn7U$ zP=BPxa5UK;-3RehD)JhXmts7C;SGkjn>Bp%YQG8aKsRf_`DQ3+AEj%(NSy+eS0g`B z?bRY$%Fvc&K12Oxv7f6+G?5^kn9;O4m;tu#Mq_Q0$me(`{=WTq6)1$}AGmy+`ze%= zzi~26$AxoQpvdv%$A&2Kp{F&NxPkPO1FQ{vZinRJ{3J@km2>!7D5$^J>MoM-2E#pH z-(T@f#&N^Dz1vZzzz<}z3_^q7hXV~eD`m{JRGf#G9CtMhLJV~3J{65|7bhA>_w2v+ zI0zzVZCl0^y@>H1DFJ#&52tDEPwtAP6)|IbPm|p+0iTb-`07%W$whnA|G%w$<&pGP z2ehZ-d*PjE1lZb3JsU+l#Xl`1^=2*|#Lh-XQmDDXPS;nFjchVv8eU3ML{oCqS%sMnjbicxURm2EhF3jMs*w^J9Mhu}Dj@gbHU z7+#kvSYp(~c@X0{TE&&8x6@<5dsd#Goa-vizZfrKJX<*`7bN`$&7ZhrkkD1T5ivY( z4WxB*Mg0YFBYPHwfH=r!86eNdki~f!!{ZludZ&HgyW{+g;r?@}lMx1JUT#>JdSK8! z1Ne__F%s^1gGoZhjcYoQFg3JJr9kNkKQ@`K-wry0^UkvJBBN|VAgD;?jaRe5=+OnMnmEF7bo8Zxew@E93Hou_&mVnea~L zNCf8jD@>Y5FU&!j;Jx+E6Y8418-zW=p)2Fum(V+SZEZFR<-I%^XHkA0=lh_n~xYC@_wM_N@|KA*_k~-@-{3kmqz( z*k$Ms&Rf!LPo~ZO=g;5Eev$N7QWOM!_?O>vAQCbR%N;~fKdqRZ|61bSbHu}^lg_O1 z+Q8D2vhULMu0+dp(?G}lad1iJ&tq>H)aQ|+zei+^1#_mBQYut;dD8AJOF0tq2GV2!NWQghX}xYxG}#*%-09gf5&t}F+C|vcL3W@!{(T= zc^9lNg1tXuIJ+w&QvGKx+9OvkkRM8ngrhVPeer5B5TxRGJPh&np`4>P+R%u`_l(Pf zRw|xQLMt`OUla&tjJ3)lKf*vl^?DwiO(Yaul|2(#76rm4OzX5qq9Id};n0&jZ>ZzQ zYy7h-1UB`Dv;Ob?rnMO+wI1|<{N#G7Upe8h%ZM&+>7ON#Wf6dRtd_Dk# zH$ST6mW9FPfkGBNL!<|+F+%;SCK~dj#`wf!!ofcLZeOj6CDNBnJz|(=f}bPNq|-K+ zbRb7z|Hb(y9?)J_KIb)I2@hS=qv9JJiH$#IM5qItByTG~z6WRYweDDiBOeC2_MZJou+aQ+FmkUstlw*1OSbaF z&*!ri%OT<6@UeWjuHudzQE7u=L5$iJ&+oojB(=IZyAxF}N}inX^oNxP%cS@CeenA! z?iH(4KY5<0Jl!u`YY_pB0gEE%k)CwU3uB|{Cs80~-Gm0dQoxm!^zVV<{SbX+Ps!(S z64=n|`Mp|<_HuXPHKpY3-fPcX@$VbgY9Yc&9|KDcz2|NmNrFcji!CAPe#Acl`akw` zg(F`pa-DSFMCg3-+=o&V_37tg1LscpfmE%qk>dx{#~fj>>m*6V@k6qaIY{zt0`TWY z<~p_z;H;|IQU=;v8@0Za{5k{a`612Cv6UG3{L`W$N(1@eRC4T*nGS;!4U&V59Ff5GmD0YT>-M+2c;(}V6|Vp~yJR z92KG;e$O$S{V~dy`*t_d+p<;29&B^R{hUQTTtAdOaso5Ct+Q*_g7D|dRClL%?>SGf zjHMteR|v)90*e#&zrSNOQ2!jm^-6zoL&m8T;N~b`_eH)f7(TTpv9VT1hQpnueojkk zKloUkO4;Cq=G?qor}jDcz?n_DRj*_I5c%th!Ux2|Sp0ZTwG~NjIs)TSheEOuU-+!? ztj6~{(q|~$9iW@dLA*!G6#HQ~2v9fV+tfK%@Vup0E!5>sq$y<9b)Oc6>nE~!eX|px zzx21lt+TGgmgR$@qg#>q{We@zK^s^xu*hfMuW0KBSqfQqb$%t_Jb>X1hPOE~%(47P zPt$&Vb;_mC2c%b|GVHMsalEEWxBPf8^l$W5_KNz0Q$npViFG3Ei5EYi zpl5@}--Zv5rT}LMq+Jjk*X;=edpFK^{4QuN@kbPkVyrP;I}O`tn&xyu^u9mi!_*Ux<~n8$?~AiX z`!a>9UmwLfgyDR>-5BE7p%n!Rog6f*wPBFze6&2kI_^JyI=51$%p6DziXl1dJ{k(c zSL)<;X$OG2Q>ivhhBuDG7$0K!0R^ewalS!WoCh(UW88Q6nWkI_m~&s|Pyc3)^DoAW z7|%NGCTXjqCO|h?(<*7OEfK@>{C=TY@vRh)?P00?gy!~-3iR-HJ`%xs8N=i0Axkx* z4SSrwG2EwNIno=C<~DEauChDJjp|X_SAYG~^ngO4E6z+}fj|*lK84QG9kT09F z;=FUO_oU+dJ2xO^D0hhm5#W&$pZv^eU-)2gpJIL97as45_|w&si04Jb>c>j9BLuiw zwohJk3;Dt99(Nh1Zt5DFNpfA zr9%Fm*F{qZ$J3zg{8+q|z-jP!*?(D=+8cf+r!GJG=uZ6dT2#L;Bm<5f@mbDzoDH?c zb&uM{li=1w(6=>@91u@Fl^ZvW{8>`g{8EvA?dgl5k|ap4Fndqcpk_-cyqs*Meunzx z7i1N0eDg+g*wbOHQd2qbSmufMJ7P9y(Gn-54T?Z!Mzh+IDHqPPHP8<1$p`mp)gJLH zNRN8w6yW>y{#l0|VCUHf!F$Jjl97+o(~&CyX^?mBStB#bTf{5}k44iXo#j8}nucgD zfhCgen2)LtL{>*h)rtIlfce8>K4O^P1g1-j>DOU8C)hqLwl{&z*I|8FtX_xZb?SV- zH?12ppfGd!PpVxOScDARrn;2}pVT*O<|fkM=HP*Zdh<94i7UF*5Rc~ImhUxxtVe!X zs|)7q8mO-Nc)tO;6xy$_Vf->`nhxuep*nIMG2r*LVm$47GK>^GH(krk1is6M?>y59 zhvrjz3OyUp-aF+?C;uGM&mn$%7JAPN=J(pCQu(C9tw&Mef0Lr2@|elz0#twZ_!#|Y z^A!P-CG)L5SH-|}-*in7-<8N&KT}Ro1ZPfNn%{2~0-r@~u7uho;%8umQ~J-5OsI)ijg630Bwp=$ zDj#q9^}$YimPEPPWcT?O7l`#2=~h1RMZ+nL6&9@%5%~RFJkPf0U``mw{B3-0j`lJ& z6P{!ed5S?*@Gj}cv|ONj>|~_(rU-ODGG7#l6GyttWXeOiCb0PWnb!Rm0eHO1|9e^R zp3f8izP)c59(z>fz}WTKKF&wo1_KN50xkw!Eq^>`Zn?>_B*gd#YDPcr;G#j3s zlVUS=tio+XBDd)@!V&(^ z*OwG%g7J9G)#Fy+)UXCF{iVh0bjVL;=lQC=_~tpkiuQ&Kre823p9L%~usAW+`EdS& zXCRL2HTO=Bsn(Ril>4vg!bY@5x`R)F{Z(7T-;f_|x%FdT{X`h6Nlw~TTns0EuBAPc zj0RQvE_So;NWb>LVU9aDL-6>yszhvZLViN;gC7m+hD5?$<>IrCg5=Xq?>9?9=^|p@fBh1th?)r zbV#$BaUaiDC4ReGpEEF-4u;x~0xqLHK^smB4S$7vkeVo=*49Jy^40P6xWO!(uU&_F z#^qMB!LeiPveWArh?+CJKvXZp`RVx=8`|kbJ7V4|)6k8xXs+hAU=OQaJP0Rnmbf6C z#&8(pLo7caVVj@be_a(Y9>jQ#q^>Eo2F;s~Q}w@5zO0AyFUE@)&wgANSyr+w1={`n ze%yDpa6IS9uI_qgmk0Lsx0Ngd2=I}@VD-?s5S*7WJl;RnU=$=3jq^8#`-6w%?>t5I z{68<+Wri8@kh{bo1{+6fq~D<3koy+-Y|-rv=N*iIJF61`A1VZJ-Wi-cn|P1f9UiWy zM-(R&L+ZJHdhZXuz}@#_?!=i$P()hQ3UirwUNq!h&}Vw4973(A4p=!9;d#+6GnHLi zk!T-rCm+D_E3UQM-lid?IKN?eLwC)6hJCf3L@X~jt91It=We?}mUeiIMN{)7phKOX<{=MU_U5xmcp4z%A+zWt_)`Z9cTK?&c}VIno^ zfQ}^#oH$V4u4>`~H@zZtN|R_`jOp9wi7rEa$vnLN%`o46|wv1B40yCKFC#f-pW}= z{(c4tbe^XQV0BLJny*VK6fZmqozE_SiZYM=qyLJ);rn~41IVWpJB244b@`8319s|- zk57#MP6bu{hdzzm8BjMKkk{rD2fO))i?wuO(H?y-t*fFkXD9rD%(I8IxMdX$hq=I>2nUuAKn_b zpDut|JBeivbkFXo+~oTwg638mZ|*mCNBfI6qJ#RFu+{ye{Qg%Myx{-Mll;k==&Q(o!s7*+udpW5 z`0I~+zF9qGy|@bD{I?6k$I*WN#TW+JM2|EG)Bo1ZTvmeiI8*|S6w&^J=et+RXdaoJ znN64->4A)_QV+%^7C`%1vLzws98fLdD9u57^Fu7-Z}m0PQN3H3>EJ{L)Wmg>{f;Vz zMzIJ(lGz~0xV5#|MVo}56e5#?F%4P3<=Hw&Yot%?2-56&C}x1y@5W2muc?_?5pDLf zaPLF=yS>ZzS)L+YcIYiOKpeOb8!2N5DW6S$?&%1^<8}SL#Qo&+zWDbQvKgq}-<$_~?2laGqR0o+ zA(FvJ6My0${f{LPq{HH>`DAhNXC81J*AudOP5`SP^!Z!Xs7^`LSG{u|=^^XaTZJf> z;rKDFdY7;1WhVGtCoAm@Lw*sX)pMek!r;%KfmLm60#rA+-TNH zP-snqw-Hlo%dmxfjCbw<6~Q?90(&lK3uh^q-KfIvmF|T*H>{9O2OFJP z#NR`q@bsAPZhLd2zpAoM^HL}VzvmdvuEd%1450qLAmfc{8tQO7UatxE$q&1_f^%E1 z{i*6~{P`a2R<|M^ivb0Tee}uc(Rf^7ankc*cGs=gU>w)|`i&@T2FqdN;`6|F^+h;7 z{ryN)MNw{Qva?w)F17ai~f4(?3M^#?hHAjS7Pw^5&S|) z(5H6?e&KywO$pHe1_?1w9LhjWrENE#CO5G^UewX*b2{`0UQLp|UGHb9*w#>e<99b5=x zvBEXTA4YQT(W0JQ`15n&wf!4QJpTT5J&IK)L;e;o2BKtLB0%BstBd>Qiy(U4cGqX* zi>>8wFQ6tq1H=j>?~B@&e9;0;i4fy`&IPzm0mfGzTlqy?V;Ru-)Y#XAjEiWv9r%lj3F$S3tX6uV zy3Aq9mjz?ah|eW7I!~c~b6f3FN+p^T$M{7eRJLuH|*jPozXix|(AWlm2@jFbV_=S!SR+CoGO&ritf(EgGv0@BtmbOZ0w zz(#dcQIIAG=Vc6!)0?*SvAFX8Nc--8uG{y0q^y(%QIsT7k<~yr zvqyGTWRE0!@4fflo05=*5y}&hvLi`@%8IPaRD7?`t7{o2_QGlb!EbopKxszCLgnC&;dw!b*H8Q7h|eBbO#h-RL-m6c zrSxlYX#V2cs#YzUzxzD3)pczb(y{pQQBDf!cJz*VM2L1dfpux$-+-1v;4R)Ye{eM) zBqMB%mX*^%$z0+Ky$0H^j}7zfulEAonNb=ErvUJpB(;(`5DlA=87#X#$AOo1g}Y0A z5^P_1@_1+=21sWfa`Dul`I52{whZqCpl|tGcD_6sX!XNpE}}Z$#m2jnEI(o(LCir! z@G{Z^<q>-vS=*fk zDY;O4W$N#_H^>J*6O*OCoC3j;ntiKM>A=d${k82`37D}|O&vGAjE(x_C9|>Tf(_44 z-d_D&$p0-wJJy{IgGw5EmVXyQm&fdwIdvYK9QgF=0`iG;KXAijWTi?L-o}!#ZuFKX zAPN3wch=5Ajrh;qU)$1v`Q-+n7- zUa!ORy2Ggs>a*kdaL3N+VfZlG_tJZo^P43ebmlGTsK$}s>@9;K&dzwaHNwxH(iRU) ze^xJEM>=5G!>I#P_G!Rr_pUZoFa~-i_VZe_B?6Zq_Yz}sCe&@2-Q_Y5foA3}&(`{r zU~%{Qhge=;IMwy_1G|VZsC@H6Z3LV?6;CX|kP4Vvo8V|8D~$Vt!10$#rh z-G2CPIAighS?e$Of zA9LZhcEX#tn>o;*?RP9D-wnIk`i>qe%7OdGc&8IWazKDQ`H&Wd=CO>oSe%jXuEbTb zEhm)cHu5wWh%Xfr_#u9El~W4M+sN+e;MM+i7g936ymAUgb7B;%+~UaJ&imaB{=ow| zFuG7S`Q~Q^)Cn8wP$FIJ84|MNcMuMd>?%AnqOr zW@W>8uG}q!cZ+X6ABpmFEXFW!d{||o8ah$c+3#nu5ME)eh>Sa7^K}5WoG}e*G zO5B7_iXIjxX`MKWmq4vz~wPMjBCj0MUB61YCF(!BE~?_Dtc zU37rSw1B{;5qBOw<;;B0j;4DW9)@&3X2&qjks?U-UZ(s>hWr}l6mqY=iG|JceC0wO z0Yv;fS5?w$8?%S-{pG?R51~E&tM=aVrNyv5Q`XP@ffpkcexf!Zgyy$R9=UprD1b9Y ztGM&GBSw~A``Hxje^%~RdeK5!0=hpQ8XLTJ!NimNl4Oi?i2I%MRObRYYc|}wVaImY zHU(&I@ui*RO(S>!#~U1PXA2uNV99ozDSTV`~ zQ=;q)Gb2d?s!#i+IIOx@;>d6rM;PvLwu=R_NE8P#LID$xp4ztG42&R6AlokTjz z1BF?2Xr4>*1{=(y{QYFx`^6(WQ6FoGoY(AUHo@20N`-bFRXNZh`Te(1bTst7>iA1t z^dCQIFC}TI``*NM#@1{x2S&oJsM_oT-FVoLIwX~18B5?W&WCt@P<}A)tkbeQ;5>-) z+>WY*?!)D&K>mqG^=ptJ!M`{!;ynAelj+xLd{w80P+=W9_PzpMsrc; zBP;?277Ua9`!lH>BY>Po@z0O07zi3ns4fr=2O$xNKB0{EEa_E@)QeC( zk4h@+0z)|TcpsvCsQKCK()$N#vECKN4dphNasAlHGUV(O=rx^Mxna+RF3+&=_N%V_nMpu4siv#yC)&I8#)lO$2y_2ceN8YdRj0Nr;Z|2KJ z;z1;kXV)RMTxi(jHcL*>!xT7#hboLx!1LL#E0%%Yf$f4jx*d>C{;R^3$H>p(`HcZm z#fTIbq0O1L@JfU4J!GGUio%Gq)nBC4YTOj?^WDg=nb}il4`J${33+iG+^L)ouSC8} zFF2$2GpZurtOLtcN@rqW`nCMuE(14c^xj_ic@(f>3!AHFbJ3jiA|0gwZ7Mi!nr8IZ zClLOyxQ`g_H-YOCZ^=qH z1Spqytf6@#&EK9BRqqVo(o?Q?7>0Zb{+(RgcNOG5c|e<7 z(R)hdE9s?CE6KAb0Iuq7*xP(G!j?#OKX!GDg9-KF$e;2_aAP%Q|2dRTFC7_K`*|w@ zB50V4e@>wOxz=Cv53I<4)vyWl1wHBYtCJ$k?VwRZ#cNlQC~_VJ4(!kZ=U16yHP(DGjC+JP}|s9%Y`&zTZQoOeqT z`wuT6eXE!I;`a1^YtnZl`|3q6LDcVBjSPFkF34lyzkda}y$pec*S(A44+4n$xg=&q z6ZP5~DpK~=y`GPSamMrzUfwJiu*xaPcTa^>uY6slsZ5xg_`F@6@>@LGl+&E`ydD(h zU2f;>b0y-H;qWZigDP9%`#w)U#rn)81%iYwg-%YT0;`S9`h<)fHZPGDq=)LWRN)D! z(MWgRiIdvMODqx&3Y>OGNBy(iiE-_sOQCRmQcu{zEStcOXG2MHsmMRzs7>6tA4qTQ zO@oe;_786;mOWly#u^L(W)Z4t(@F5QKPZoTBLRx~n{+r5(HuHO4vAtY@+H`ve*9BQ zG@MYeKb%Gv1TKlCted5&P+?axQ5dBMufHd8MlXgDILJEb7_%tmPvG6>8abN=q+^NS zgJ-60$GS>WV4IRQJr>?XI5%(O& zS+x%a8k zPGgjeOL|mNaj@KEa6_O?1{6N4C1hsZ!f3sF$$~^I;M;dW15wofpAnpOa=+k!=@yUE zd)`hV?zd-#gG_xm(g`Zv_)+;Q4jA&k37qypbAkVO0LL2~Z%dlXI-~?cp(l@RxAMbC zFi7d0xS*K`536np+NYR9w=CPWJhC|W_F@PBGsZAjf9!Gd9@?)kUt#}}DP=~)pGQ|r zh$GT*n7F1iby^h7g9fKjZBnO$^7yRXA5@nRrA(@-vq}KNu#46vS91w|`t(AKT^;FH zb88G})+s~+qg5Ty_o1ySoD9|3vWKcnMW1O!~ z$MooiRiXRr-Nq}-90s)kpWb_EWf1%%S1T?SL}H1ZSP?2RIgIp%2Ceq}M0=}uPshYH zA^%w%hjBi{^Mj37Cv-w&t^v-2IM1#BCSz}~ivoEIcA>}6yg$z0IPM?V5{&-A z5(TO&`TMjTQXzlkku_b789Z6u`u_M?Bz))@i&%6D0#DYBDp~$B1n+zwEY4OqWD8GT z>|=lTJqz@C7W353y2JjZSMnN-fgm%v95Gm*OyosDiVyleIHP%lxtro)o|!~m#5geM z$D54$Z2$5BJij7c;HeASnM?2+o;OHH%bD&dcEIrbVBLnxmqQ8p8n=uLerfT6^Okep zoT-ssoA%7@Eh!K9+pM#7^9G4=YxwZ!2t(G0Gt~3G3keMOfW-31H#DdH zVd>FvyEk6WkkSySk#`XJ$=>Mc8*uVQe%YmI)m$#X62V+BaorPmhl3+dDR`j11w-P^ z9v3iwCT_~BUa(oQKK4e!@_+vPIkj;znIPr|T;}X6hAGHjcqfU?9_?hPORknJylV)T(kE9~ry>A4tVM$F zMZiY#kfQCqF!*VFQGi4m;YO$4HLh=wa3CnM_$W;bC{{e^NIvODoaU=DZgql%$ELfH?$S%4hx<_fw_L*Y%irM;7}D`+DDe&<{9$n)G2Cwg*CodF>u{YDd>>{jqG0QejV{T9%?Z^nJyS8fK zBm!k8NGGvUcjBZndR%&4%?*T&*-X47gP=L=UFCF@2fSxyODaFh2kxCm%O7uqLT@eA zH2=Ox5KyLOX6%oJ9Z{72Hxv9}na(5cgj6W}uBf0$Sxf+FT1;ts5cOq;3&jh~{g9v3 z^S))#X!tXp98!HF0bXdm)fGC0||N@HrO+#)7&n9bOtx_?%aF@Cw>D`S)MK!!Pz(=d_?b zOK8Hz#0|P-Qj+crIT81h$+B^STGkJ4ziT+f&>93cQggNTWh8=w=pBJYw1--IOW;YT zWg?`%IW_QBiXReA$O${OX@jNofvWBdH0S>>UIkxSCFIu{6W{l?iBC-eQ!Gpb=PJE1 ziTppErc+n%DPVk_^bySKF~Ga>Syya00xTA<-`e4W^eCErP4*#u%y@UD^{o^?SjTK$ z`;H_L_~Co2d;4u?0GMwqFC037@|4c-X9rCz;2c%kPbTDhb!487omxK%D(&7y(%Of^ zpF*RL&ya8DmcRC^Z69CY`Moigbv+Q+eML+@JqiHXR>_P}^iI-#;2^)%a|`k*4RwlL zg9#k8IN159vfYxvyCjBXsyTru;vOV(DEP0UJ=t&1nsm$lT-TDw?4Kw5x5>R=69fdCKawX)!eJ~Li#TM z@X5mNtYJCQ-5IoVxBrdej@DXaRYo)s_IZB~qv-R1?hn`Qifi~l_wy)q%{Pif{Af0x znSVa11uYY#g}+r?AaI(rQpFePEVR7OR%T?y;z-}-ihklgI6lr*mSWS2ZM&9knbaYzsYt*)foIl`+w_phv^kVp({Ax zvia`-f(LNC!SS|F?-;|}PY1}p<<7OcG6+O74#dQw-$maOaOOn610ua@+GHhR0t;tUs@7juL^nuDBREVV&?ZLJr%m1@HY+(;+?Sz7tT z3HJ1z$hcr&3wv)z+8Mh95j-6K;C;0GOb8SXvYAiqJA-K@a#oWg9ma+Dd*8z@OCf)l zlzsR21;MZ(ZzV{X!fjzniBCuu5XWVluf`NFwC**Ggx0epbT4F$v8CgDNrNaaR2Hg9s!9*LK>pXT>vNuo z1V0u2zBAn8qza$cr5{#OI73m_hMtjuA2eOc%`G7JA#fPyLp(n?oDjOaLqn0^L7eBN z*Yk%Y{gBTAv`dhjHYWHN=S7@nsTeMBd^bkAe2+q7-#suP@Lb;hiOb_h(J-@jPMQn( z$ydNDe`iTgf|qeTrb#OkS)2DI_#4N457%w|8|Z%L%KWi-@i7Jhd^GB(d5&WrwD&Y+ zBfV4Cz5sigJMIvsoX$9U_XNQ^uN1?S1N(JhkH_%3&&fo%&l$qhHEjfO95LM6Brc%1 zT&LO@A423s8J?L|tbA!;G2O<_nU+B0MKr?(^TEL(L_UD$S7h_4NQXO_;5R&P_~q{u zlJHOm!}Ei?j8C{OA-x9f_OR+@UYYmGp4p|ejvG5UoA?5ZYfJ;aaZ9@!W6I6d~7R?>lC)F&IhQb>Lsn5sI-rl0MtzK~`(ub*^ zb=+h?^Rb1e7A^S9un&G8YUX-lppMqnbbBopSS2@|=2>FlEu+8Gb&5n7*?gw1gY;+A zsE>Eog(LlimOl+4NS^>dd#AR^Zn;SVe)6t%v+FYi!opCnV)S+}y!f20d}-7Ze#U&J zyJ~^_K$V=NuV@4V-EA5Rvmgh^|J3-hQdkfR&A+q4*A)USvpX+k6vx2$7qv}3G5<2%$E0#prR1*Vh{P*lb(Du{Hr>bLE~CsDoS0^cu( z_PGf7L@pH+5aJngPy1ij{h^@T z#cy>e3eE+e9^6Lv*n8~bJB6kI&?smRaCxc^p@U3(!{2R*)8F8Aa+v8YkXj!2&G8=j z0Bo&JKS*~%{&81zMCpvN@{R!$tH>bu@-Fwa8G5(dM7`6TL;ee$_S{c26#QXSJgJ(( zIuP6gRYJy3CBRkHwFtrHP_$oF%r5TZ1k`rftdp{#aOB`n@Ojjy_TR-+`eQfJ^}F}$ zC*QC?D7Fqcc4;D?iT9yjyHS6j@gkj2t#%@?m>=ykDzXQE9gF_S5`W^{e|5i{^Y;jF zo?&ddazGh7!Nj|lVpEr>-#Il&cldc5VZ(-n27fqwAjfE@@WnUo#Ql8k5EJ9ZbrWt| zCw7sa3xTc#;Zo{-iEv3Go{{%LG-N(IyO=hW0A2Yv9^Ohmf(7q<#O^Gp446@U`>)ko zM7&CbyKKwvw<5kTD>(_z6x!>O7|hZrv6j|T7M z1(SgjfzWk6jccjKA4o1J3}3kF3n`-CUeet~daeKP!(et*Y;Q#rF#mn;WOWqzMD3uz z{=Cfv?0SWcUib8cX16P5)uoXjvn-_7W*81-J(B@m3865~%Fg7&=L4rp)+5D^2E&zG zEX{_k&afTbsn5X^2iwM#Y|nMiV$Qo&7xF)Q5;%CQLvZ9^oDYF_Ur)4O8oP$-zyI#R z3D+aKBl~0F1SR*wDvJ!_UTGa2d^~Iy4&+ze6)^@|c&d2X`Fw{bEMuSJ=cK%ddyeBQ zOS3`>^~VSZEqx|9`OTh)SMnydgCqWi@U>c^x=ApM_jl}@RB~-?y@n!xq7Q>n39s9zxPn1wt1JklNihfmX;m!qo=puV=Sj>6B!{!p%Jt$VK- z&8bEB3_pG64v`fbhrI*6!Q}YG3aeU#3;*Kh?y+>8OjlH=Woh=R67T{^>VmspClaBc zFL~je{8220c5kmoOb}@8DruZ|xDL~ozVC6kV}&i#ox0ggqYc;SicTwsB|(CG+h2;) z)>!SNo#|WdXySfb96ECB33DW{eV-$Fs1gKIF_Bo6Q}};8@NfSf$6GE2BY6KQ01CGM zvbEgyheWD{6g$)xN`7qUv^Ayxj~urjklLfXFRskHpVb$BpZyyoQx^r@jPD z>YUe#A1F7UjP}{`hS(C1^O9OfC+Z(=T;-S;oHh4A`(zj0<&f@Nir{Ob&msTu@DF3X zmNk^W-9O{b-){{1;6jk{!mpw{qqAz0z zA0V8sItEXr`IrO){Y#cq+B`itTiT}6niLG^`Th`0 z(&??T*9UBLMow*tp*`JyIE?clo*(RViDI7Ltp+#`;yl;%TDE)k7TVA8uzPpD@*;-w zFV2fN&u$v6R(G6Bf`#`i-u`T|7>?&QpBO~Le#8NpP-ooR9U<^#qFQBy*^1z09FL3Q z%+H@_a3S~`$NiCyg)E-2NY~@#A04L)u`r^qdgRe}OYm*UDW{SOfE^2sF6pRVCEd(t zY_ooZ;GKKYWWC?DZvuN6kJjVDM0oCGP%*ZNaQ*WY8@EQZmnY4_%8lN&cwSUKE`7@a z%|F`H1XP~*op*>8-xIltjWuJJGtlyf{$bwzfTmbhbH@ z+ay#TCxiS{*`l^%B1AD}W{QPJg7uM|f7Vg{G5l>x@$O$QfE^>8#dp!(;&pHLcJz0u zJGgGBkMf-2zQz2PPa}Y~VCXE2hrvlP-#*p*VQ8;hUV0VH)iZO`w~1tgA>He>lWira zzR#1@F~EuP&29xj!=r8}@7m&UigJb3&?WKBTpYlq#)l4Av>iOH1Fhg zQfYl?uXME{As=1|uh5 zD57NYOk0U1{9$n)G2Cwg*CodF>u{YDd>|3s=#$b*MplK<%v`Y&qNOegToDO7wQ)YklLQJ(b^IT zH!Tm0C0|CmVd9UEU)g62bk84_SBu^z&J#uFI^J7a!pktF26B`)sGm@#YUFZ)g-R-h z@$FmK5yhXQYxTiEl2wzMnUC})LOTMPqL8m_9qCi6>Oh##x*}3j69f;OhpH5#lHil5 z%O!ozNGLs_cV}zL0s0!2Q>k8rLZ^>@uRCQt1dhfqr{=^!eysz`*>AoOk`+@kwlfk; z-Q9L`)knY)zwe`}^2wmz^_pYD-3Hz&gda^e2p~?5Pfn-k=aBDGk89c9au^KN}bTQ4c=H>lk?x_fvi_LgxgfCgjd3QAQ%&@mp~+#_9vf zFfgPncE~*zlvjnWQ=@vt!k(mV%Yyw_0t3A>&ypmVH?Ytz)mRhp8lf-!&8^#x_`XLN zFY7rSkAsh+n}>P%lYn{O!=LW`uGprqu@)Js=PjE0>>H&@02iG|b}}KfCvg7ni6i-e zFf#tFg*zV2^~KLIDEv+)@IyL@?xiSK0%WQiIq*85ee{*-UmYiW0GwLs9y|zwBPFI8 zR@Jd^Xfs)^8O^6{Wo1Vu1c!rQN$K&Fcz^KHPg*NH5DsD<8AAHuj==nQD>x19Rd3v# zJz!LD9qWwy#X4T=PT*j}EvH1C@n8b)-t&yl(W3Vleh+5lo}Ns7mH_9gf;V+kvx$2Z z(tSqmAs5O6j(2E_-PiEYi3b0*?d z<@%nDFR5t%Gj&Ly6U8(B`!btRt4X7N`s!BjOarQG<8gt%=+UCh=I?=v| znbB5=C}k)SKhZ_W=3UL;s_qV@dn3Rj#4|0hMaKd(pf#6g!)y@_rLv3_!tFbjsi<` zhnOJn=&SRKoFTw|_!apJ)Ni??M`4`X9S=_Dym;1fZV~bKc56-crhE{14Am$o?hFKu z;4@J!n~4zqMNHQ&F&sATR|;sF#KSq`4;5`_4ix97s29I>e!~J_{{;y}i8r2*U0HnQ zE$VyWxFN%MrTvVW4~R}>t8JpcXDjQ?`UZ4Aa2|FRHE$Yc34zC2_v#!za6v~b169U_ zAP~d^kC*n^VDdTvU&?m`K`5DpQnlMPjB4OFy=-he;qQp^)mrlC(_d`JUoACHyt&T; zZl5S7-GTPy!?mJ1)U*?z=@vzE66(h?-dZ2{zk0SO<-I*lNLL=`YetU0^XH^dyyly8 z*=UBqDeD|55#-;A^V9c6v9Y>09$4*MzeA-^FjVe}!k9Mwf!bxGo5jV8z+s#Z@%(_> z=%k8rkSyRli1VBrzl-M&=MW&(y|IVS>KcagFV2fN&%S+9ed^$Y6wpc+;#pHL#&A5p zcbx2|2J#)K_J9i0YD1n-b8s-!J{a6ol$Pr><-6d0PW zQ=L=w07f5MrRPoluuEWV;+JOK=Q=Gvn_|ucEz?OGUX|q)3lP@j=ixeN*J;uGlL61ntpU+~)uBA|eJ> z=uMO~vLcbcu699mRV>oW(x1}06$6oR`zSB*qj%Q9Hwx~key-|F>#14b4pl3jO`Pg3 zkXraa$`Sqk$7He zFyhhS1UqJ$l#Y%&VF@p~c4z9uL*-r5NjbDHLiWJT^DOEc9JSt0(uwvP9V3fpw$@{T zm+RW@@RkJVHPRUM4M{+C5U~SYXVamv-)Fj3$`4zqt!Mgyd~V7O!qtZOQ(^Cmi)IJ- zklsP{XnRj*D%3KO&RWW$y@DsNGRh)TLHCbZts~O2#7|j$&5)sH6%0Sy+}nRWutvV_ zL7}98_5$f`X+%u*1Hfb8SJ&=?;b1T-YNmvA4ZOX6?Tx$U1Bt>v4CP1Vumkr_e?Ecq zkoUR<(zhYszpkL?GhaAkz`3Qdz7fr*i^N8RoxSP}E~$e&`Lw97mY}e@=$t_K!{R<- zxZeb>ON{H+;W{VyJ}kaBfzQ|BeOSC+hv#)mwAYxvbHxMihbN8`t#({-^m6=^v>GdEq7PS9}H@qzH~u-7C&B^kX`T1z^T^TV%bFQR#yo~NYRsj(^Wd%pJ`|5-F=PyTad)+P+TY_J}9$zlrAb=r4l z(4HNBp3ncYJW6E(PW{yvl`eXNLgpur3bfxMy3~HUQpX7!cx_v7jx-pkc%A($^N}y^ zjqb|ighUWx;%xnv84T~wzS)cr4}!w35-)e;&vnIrui>swQLtM0j-2AkZLl%Ys@;Y3 zL$Rgj)K$%KQ0D#M_!8=ihzT5CIkxBubw(bv6~|*hmXxeR=me@`PRxAJbWR2u2anTx z3rykebls(bL4V>rt@`nu*8r-+WL#uWEjGg*?e%!`?v5Lg-wB%CkPzMLgf-GM&V*}( zz!fx*UXSKA@cWs>eo`g!p&AyI+v2gPhWuTaZwVhle#@GNkADymi3Q=T0?|7yXnr}_ zW5-RKQgJp#=EZ)!LohPD5H>PlLBwlIt4~SuvOV#At-|Ck>3>A~X_wjfypgW%!on)a z9H}?Pa)F~msyZC@F-*8E6rp<2!%&urzad~uZ>%D&5DYfaynhBzzQJvxQmll09C7@( zci@v)w@or=nW)drYp21kgW_hTJmV6G1E7*h96BtfL&RfsNgqqaBBF>PHl<&A9p;t!AYwsq!oN$)Y6U9(doQ=1gi$f?w(dS>*IN#JzHgW-2WTiU7syX_Om97C?LD zLE=NCXL$aAgj^2N$HDJ8j#E#OswdW6-QX!IzGF9D~R}g zAF_LQrrq&^mlsrTeMkKRJTCA!p^*q7&EvmG;JRtl^I&5wLU;jHff+=LXu! zD=&OQf+2#EmzE{_!LF_H7KgF}=GTUO8)>=# z_T$#kf*+Eh#F?MRcijbhMZNtf`f)6AzlBZXEwpRm;CQCO@~tnMSK)Rd!2>wn z;CPFfJU=na84sTKr)7U5e~9lBSNKTuqmdtNoJII?S*-V+mfEXpC{OR&ViZI9s2)#` zxj97=d~{CUtaorD;twlv6w^m_Goyim2aV{R{3w4PcO0tIg&j*ddMqFuc8#?rdZN0@ zF$uf1a-?&G^HXJfQ`7^bZ~2v^y!!d93%rqC5?k&>m$z#F?4IsD!|G1>Q)eXD5&!*%PfB!ai`3yr9HE!U?-``=;+g1KPXI zQk~>xFvl8NCvwaq;t5>F`KpfJWX(7`2zUcFPLGT@0$Xve$UfwYaf;1L$R6pn1RsBv z;)mwQ50cAsZrS;P0RM*{4alz(=WF{C{(LR^IFK4WSkt`{hU&cnz3I1*e%L>Lnyd_0 z`6-C}E3`$O!6FnW)bicPDgxnish5V`4o?DyaX!TJ1L}ug7(B4^fb$^EbE?a=uY{;V zz~pFKV#GIN4Ch~*7jd4=Ej@Rp@G+``C^Rxzjna#L9Eq-f)NGvyzT|}pL#VF*iDDx@%{~y8 zE1S7lz97AEsqC;qA$o#$+NTZT%b&Z$UG?ZThtxFaIo@GWzTyLik>qy6xM6Y{^hZ{RskxxN>VJ7rfn8MJWi+RY=L2|twH|tgDFx{%;QWT?4Zju? z&+ZcP#PGaeluhCx4Z=~R7^5zZbe-fvX%f#!$HV+DL!~QpNDu6+x23Qqny;A%?IWi` z`pxdj+Duo`J6EGlb^b;Mg!a~n(4#!kWn+kmUOyi8#&PcryPORDZ`xzTj$i`;Az8F_RnC%SL$LF?hXkc-cfj(StSvQdPz&{ccI_w z4gbs{T{f6$8O5*LxnKcR0X)S>hkyL-qWNvNG#Iya4crh(gJ1^-Z`02i@ab_!*7=lF z=r-DaJvK8P&MU>(_Z|%+&IeqlPkiC$#PD+>CdZ)oUO2>R|}U-UwG+rsUuHv`B~+%Yw1(A2YGzaABR_ZmiXckxaf9`cnu$blf)+_gBLGCU9M1T)&RzpUw%s zCy4J&;B!ZK9~Q6I;e2}SlpYE1r6w&m0(D0q| z=*M*Aj~s8N)pI5TcI+Ozaoh^+i%a`>tNu!d<5&D#%BOb24+XjM#g`JWXjD;0iEtB- zSKYd5n+FCi#P>Df{r=+Wt3=pJpQJoZlL~X6I@Jdpwzhzc^OM@uzn*jOI);8A$}f^E^)z^QjmRVV4=s zM|($^Qj#myNOA@1^hZR{0V*=$lu%lkILKfpz-w3kM_Zi^M4(iia_(XqT+rv8ky++#*zwC z2Ew5LDQ0t&A8?#A8P?a1B;sdUl-#OJ(-AHNalBZGLB458Pm0w|GogL%Q*^uu8`jD# zbm=R42XlwM7ZzT!g-62%1GNpV7z^cG_yaagcr_<$!=;7ZzqV$d22n=K-VkUrmVtbO z|K0BqWBv`N;6$+F+Rb8#bXvrsAAYkvfc#|b-G8V^T(68cB8WUDuc_$yOwa{t2= z3Wrm_xaaExLF39|9H&ki7+Uodn4)=QIYTAS@ly0I-jZ!L9L^&6iTshm9%ZIruwr?t z!^D94sE-~i*xXGZaDyr*=5s94@fBopd)Rg@5b0O<3Fgek5j-5LBt>^AFaomu6?UiPTe1Yb3& zhtv1?ML=Kd+3WIwCZHY^t2~2nGfnwdMqow~&^qOVlW!{8ThR>u%^wIo8S&4=kbWr6 z*MIx@V(#=Nfa)KbkiybAwEt!b!A})?wO=Zb_+w-*?dwYqg~3YK5g|3?_u3mi zlc`@EK;SUWhj@O#!gtWawdfqdgE-G+r`R8ESBgY><5=z2H@XD>;=G9Stg}-Kt^_(W2dSM*ye~eo(&6wyl{q&IF#R2v{$FKyRZ?wQy{kR?NFf$ z?En3$=36M*JA1&`a#_F+ep-4>y$BA3jnb-nH#dvyNf&brGto{H!y9=D{@hK!AQ}_Xpu@7MA{6IyjY8Z->EKvU1F$? z&3}*0wkry5d(=WfN5EHO$CIL5Xs&9plv3t` zAJQ2a;OM{M4<2&+4`xb+0hf!R+ej84lAN0H3#rG-$e(G;o z&0R@1bFMgB@%`6j{Cmr;Li9-znd>F#%ejXLa2_6p}c)S`-eZBAv%GBsxYJ zAZuGU{y-At|7~5f>(l@F!{R<-xZeb>ON{H+;W{VyJ}kaBfzQ|BeOSC+hv#*Qr!P%j zY)18DkHwy?*P$S%@bdLNt7wpoO)d^W`h7z}!5`Is1cBdn+DXsMcsTj>mdXcZ7kFCw zeMg6+5!}4y!;=(=>Q2&KYJc`3A1ta`|7PTm=`~3a{`6V`%w-5xK8lHg^EKQDP2$bK z4&(iMi^GjL4OOUi8P+?&v3A9P88ojqq_xaw;^PAr=NC1tVP&uty~b>e5B?^L)oMKbJa*Z(3quZxkM6iAmmZbsyHG88W3FDPuV8Lstr z2T@;ILO0fF_Cp|XKO@QCkk7F@Kt|g7dFG&apePF$FFu+Ln+dsjYzX(B)BN0B_$3S6 z*COxK#d2V|D>UA#;#!cAx>I_*!-a^~ckJ{`Hk!`F_x;Yte4ITX1rDyKMeRd6bHNO~ zg6I4_u%lm{)Olr59fUrwneLhy#>}0vE&266#ttR^_$(#Lv=Gm!2N>ms5(o^WQi1Nkh%}@g_q#tBbO7G%W zjQ;Mz>8(53L*U`b*4}F<@6xi`c(Ii04@pMUnRRsOVBJ%9nGWQzd!H*;d~4C%>OUMb z5Iv+mf$G0F-hDLNcg7X@4B_{n`S2I&Do6vV_q%9|vWkd%_2Vk#$l*GqtNB4lyBFM$ zo^O)*XU$+Ro4(Q7r5H@SUvQi~$a_R!;YSiouFJ|q#d;F)Dl+B3F}Gj|Vf~+(gy$28 z-}gmA>+aRKV8|Rf8BdM&cJR2swg^MCi7oU87x)%9dZv~TC2Lvzkw?N5eo zq4y@v132E`cuPLn!jQNt3O+rMrn|m70Ix)ah3 z&Ct0-#a%9giOjJ*w&F&7@eh}AzFM4QDl|azp|6ro4ti~v!nro`r(e2bA?)4~!xuZG z12+GpS*ix7)rUHeRlT2A~6i7SW6L__pPVkeb zykNt%N1j-(+OD^PDBnM17*TeB zFBbXYoUDsK)RrxS;rxs9BF?iX4Q1)1&*cJ5hiRyZnFfaAd8zjY`DX_+;LV$sW{xxQ z(7D(Cj(x5p!OJ)vA5z-+QKsLY;BOrF#jZ4F7b0CY_CU+?`nS_y<=&~FEnYNt@SGxk zw{aKR5)&EKEM`w|Eh zkwhFMTk$`)$z$Af5bUpb4ZWAP{yZ&M2m;#K-nW*+uFx=W zRGIP=%8yweE@&16LY({TH-l4F5Y6Ll|GHQNtLNIt>_qePC9-dd;_ad!XIA-K`NvT7 zZZ=~5v>k%<`y;%9KKMbhjlsmSats8n+|S!r9S@Q_UpW?#MZkgtrOo4{Ao#JX`J)8l zA>1Dp_YuSWCU9M1T)z(2Il=c~@x2Lrz7Frh;`KT_ulvndd86W!52{n&c$badMQ#1t zy|HLMtaqM%^5YH<=(soQaN8{i`19QvU(eYBE!lzSVo@|t_p^_01NoepVUw&;6ds_w z)6YP@0ln)f=YA@)1VP-F{7b!KsP24erdyLl9W<}DRyCJ76X%CX3z@nnjxaC(xH0ON zKcsw|LyKeXz%6;2ZshS5%*GIu*3dkUoB8f5!8YL_lgmW%qsWFE zTr7&43cC{o4?mZhK1BQTz*3&spoQvPg^rt#f5gKdWeM$xU96b>#w5?|UmckB+GV#E zXh+0roXnoXBxj6>@0+#H*{Y)`3Ify_|3q~n{i$-x*mu<$SZ?^IJM%GU52CzK^BEuV z*}clfB|hK>GSWcDk9Je=nX8e~g{~c&=zloqG?`s`bLkd=cXV6!UWVxJf!~Au z=dStoT13HMjl;+NoEgNu`jQ&8xr*vVoasq3Y&V=hAvw;EE5-#r-SDh#e&|NjrE#1U z;W1!7f%?q7Ig4M;ytgLebw_#1&cYTEcrFp;TD1Sa-}e^A;%w*a4I{l*U85TviMYVy zWVYAowCjK!f$Mr%%nfcU$uM~-HhT3+41rJY1ml`1(~z!s;M*=1w1*C#>s3S)(LU{W zjP%bwH~1*s>YjYs6Q0HN?jO}QA>!wAOwDZTs3pk0s$ue{M*D?RpF*0}62Qy+QGzNd zEB4gFZ_*v*pZiuVnRg3FU^Nt<>PCn4u<5j@V>jH5LCv{2OajdttXuc_>};cK_upS7;xFs%0?C&P zo-orZ#VlXr3@7JH_*0V5yzhM_7ba9cdq$q+(`6hCF*_t1T#qCX{G@q*?4d;wsw2V=MVm6{0h`BG+{OX3yyDyA#fSzD~<0Q7rjSA z;j9i;*zu~gX^_2wZ<8I(Cz~;s<)MGSQSg&k8PRyyQK_HejOLf=nf^%99*iXT`gF$~ zx{>4<(9?1IW7z5q4jX!;FM|K$r@t#lD6Jx{V6#&kk00520tr)vzN;(hw^=*+c-OfT zIE?clo*!_@e=Q$(3A3Lmif}qLZb-d(^8o|FfFXB8qJM`oDk;Ft`@Yi}7 zVW3IixkkmV#_EGnP+0Pb@-^D08ys!=GLhg+@G_3aS?^DseazuW@HdY8qU2d`6?geV zbx6nW6S+~)W@F)3{X!Lr>vg1a(0ub1;lT9RX|zAoJz`O36EhfH-qWZ}Zc zsRKy=;5PGpDb8C^&-2xw*wX{1B)FV%4@VGr(Q0YNc?RJW_^{~W`xEs`@w|w?+TwvB zNeGb-;Q5t9zYtaKTq415c-|27O=R;G{S6Gy5BLV2Dg^`5X?T?)R6ZR70gOUs`NuYHeOM-&@|3}() z|8w>J|5HQ}*_*N(N=BmaK$0zF@0GpxeA;{OnTn7ok&@_G$tY5ZCW(fSilXFueQsap zy#9c9zg)jPU$5g_kNf>`uIv7|-#_@iJDdtjdQV(q1~Z}8fc9LHzYm;s6gZUJ>IX(n z!J+T=kRSq#I4My-A6v1_=QrYEwLgrVXVJZ(Dnsy`1r`t6UiY?f&m@8Vc6T-*q%V6o z7UNWf&J+B4yrt+CVv#??*NQoWThu*Gqy8udx5!!Ge)w19U-qGtD|OWQfByYm*%uK> zndm%tmtofER5D1pn7M%h%2Vb#e#hAL9C*#k#-5i%`R?r}bb|gmVdTRbX&>Xzxsl$X zztxDR*UF~70|%mDtcNq?oO%|RhbDQ`4#b0Ewyo_$@+A0kNoH3AS1LRXSY>22D~90s z%W>+A=2+T}W9&&!k-xOvHSHmzXEV@eE~x?*4C%o%@sEfx_t>-(zC|&ojq!FY$aN z+(#exTg833aQ_B;&JWjv1yy35s1<&GXTX1?*;LpaN3=_p02ba;@SwR1AW~&I&6Y8f^lq274 z#`5_?$Ms3@=$zQ2n^tGxqH)i^4Kyc(uf-QVoDI{1KtgZtp9k{sfK6J9@Lq{R`JLP= zA|K7L;qzSg3$CP~|DOKlqq-~@wT?So&W7#{XXM z|7YEvV9D?4VAbd}d@Q~I$lgk~&9w!=nU27ZXSouIbx}=TIg1dVxga?Fu&C`#Z8D4}#bi%x z7C_%h+IzLT=$`CW8}|e{zrKHJ&_aid0g_JCZzr=f29Z;LSl>AM5%u~(sFS_T+Mak` z&(g+Sa;QI>c+q4&bprXB1!gBuMB88i*;TuYYqLP$e)3#EMHY-3PkcQd5eIMj{;`_b zBtgV4mei+w$e%!Gbmwk`LIOX;tD^7DyhFM1mlnlBV$a{e71t*;UcJ^`KOr@(H^Hpf9+8MuH;|MzK=QJ!nqyNpDCo?e`ow z*WfnLZea*2IFCn4upiv0M3Zki^{?nHS% zTl*?dkZrq7ViqLHzS9of84L@~qOnR0D33M3CFVZIe|iHPXa8L83)Nmm_Ze7EzKnw} zQLilZ$qya~nn7pcxof5I|Gi)8f)|FHc%AST=3ne`@gs0OLv3+K z?Q{w7R-~yti_InQ$*gOnF1ZNJy^5ut{WzHjM=P5ncVrZTX~PjKk(1%DTARH*@gfG) zYefW&8A6EqNzl{Hdx`qcF(&G^b8|>1@N&od_*aF%-k_|xu+D?s38DQY?U4d~g5tXc zbq`=JAa5IJA0UU2|yj?pRW0*!410yx!qrHa`z^Nk0MQ|t`jFqO(9*TB^ z%g4F+>?l$|=n1P#*fP>pE&kTnb`s?i7!6W9j&LFBZ^!Y2$->T&Aid)R`^=*-ln3dq zJY1Ix<`P}Hzx&gHL#;rq4e5(y+?CI~ODQJ!$%SI7f!i?=hIb|WdK8J~ruJOY@%xiS z;Ks*?dh@c=k?>x0WWY^527DbKZn!%m{@>zZr(aL3e?=sNXYcu`rR_UmQNiAnsUZVw zA9y{MVAaC-u7!O4&YTEK%b)KKikO36K&?m8vE2V~d5feo_3x-MPBUJ zgP_~i+mRk;{X48kWx<*7aM8+pzo<4_OW*d zqv0=oq`W;k=fwGmFWLK6X{-&_!GD$yqaZ=*oXT$B7Bv4dAb&tN4)u#$IE?cl-XC12 zr*bwdPyw6=ah~g#+F$ZDDH$GJs3?p)uSf7N&WkwD%D*}4`*5ic?y+@Cxb!O!cs`eA zerLy<9QgLG&e|G7xb;=_oVs)%!OJ)vtGwMXP)2@BIDg}~->4#%VI7hHJHN<$h(kK8 z%^43XBU?jQGDu)7L^|r+17b*2upQg4i1)W_MSg;cEXW#0J$b#ibjI`+ceybnA z`>Q)cD*mAw#RR|MeZ!00pGym++%UX9cqQ-9)chkrF*_S(8{GZ{p2~#}ktVKjKm6c3eM1aA@}Km$>x``hl|onwHv2m!7oKTE z53y&X`;_ofHoNc;Fqc+~+ISNN$&a>Wb<8HhNjJ^s4^f_a5pD2}a~|1nrQRXCR5lGH ztDpN9bR)gI*&!XiLzz%AnmhbbA_dO9sa?7zk9;8-X7%`y?%CtV`lIEhXfXBKo9B&u zUN2@phtch9F&tIQ6Z3U$HHQ&a{RuRVdLq@ z`5b6{Y*0ac3Ecxb1jf{P<-&woFXPukNZ)ecHZS!DH23G^_)6?~G4!84Yy2p`9PZ>$ zH{Ll=00~jCN|7m9V60_nXpiz@1J&Q>hVDXnbcT=fc~CvzIhc5k81Ac&`x4{+b-2$7 zKKF;~!*LxEe&2+j*WrDgar6_Jr#S^MqoXbP6X9go!3%3?=-!j>3B4XgV+fG@{GAF_ zHHAF}=|fuQv%uy}*mEJ&=XH+W<=+%Q`FfF@q>T4DaIhubZ5o}wM_zY*ylcq;$k}Y( zb(usF>%=|X4n>zRsJ@Ui#Ae>!}@2HE0!wrKa7eXAdGU<1nJ5k+mj!y70! z#@i^Z&r!7$R@<278)=HbSEfV!D4Hj|r%TJyiSFa(L+O4#tVg-BR+Ih#CojM~cb={t zhe#0p&8OuC@*Tm~oVVilI&1Pl@w7+j=_pgopH-8^l1q)~?>rxN-A-Auz>WrhzvaIK zaJI^F(qoDz_U97w#r;)T==?cghAC+|8(Oj=l)2U`;Ct%bLu-h~V((443SO>&%X~o* zDZC88`ho8)-9=OIsc*cq^K}SOuTC+Xs^zKy#PiCy1@j=~2W&fIBNLQX3>>{xX+=W8 z*!!F-_D)oVV61(Q_2n-#XHK#x5=1@+95F>ydsEXuq5VWDqe%(~Uo~r>sH-IKRssj0wwX`dUZ8v68s_Z|M7~N-ZJ(xhT>*e>#~i5s?S=W7Ld8?74v6 zaI+Iv5}fQ88vG@U&Y74?!kcsA!K~I>M#2Q?UoZC67v9uIxwPZ^yF5|}94zyXU1V{M zC-AOp{34ZSGRpnj+6SjM3r8Q06oUTBvw8X()&K3Qwx20<=Ew*6F-i2TbtEV?u2Hj_ zB*5ugD~B4X{?p6hI6IrrC;RVZ4kQPLKh;f(AnKLm=C6`4Y7h2~-`D>H6%g;2=G!+K zH$eI*1}?3$WO0Dk1zsmLn=a3^szV7}A7b7CtooPW+@#6C6Y4SopYHVZZRg1;25$f5 zNv6;=kWG?0q{dMR@~=76=u8tpJ;Q=BvnvrUi}J`WWk(bBW2}-}Ub5W>W)?lZJoz05 zR%iS%>Cj4`n!7LCdG8Rm`=)Ou`xCT}`>x-h$uNa&6CIrf<$l=VePfU76PoRlM}_ZicL!%t$BqIp;TjR&hWv#xLdU4{Nx1|M;CO@M?Y;Wk zd3m}NcoE$GlPf3#YS?ZwZ`S2Q4r55+WSl*yEhlP}wWD0gCN{rK^!;tmA#^ceUm-j< zGADJ)n-cZM+E@`dAdm6~dPvE(IRytt( z6H7w*jtSTo(;vy;?VlM@P>yolws08dL%cuOAic?veW3(658^yW-ge|pP;53#*_-R> zEGQ8Ci}NDRv(2(L@z%l@VH>@k%Y{cu1fIXFsE?{7mB2OcztRsUvO(c)ws!fU2!fY! zJWgxXmZJ$l=fGS1jpKf(DudhKaHLbyR--)bQUcSPv(9V#yxjfApyBGVG|@u1VU^W6%{E5iFC z#j6gz#blR(Rdn>RcT5G*7cqr#)GJjZ+}`R3@ct^GBjI?hnLHrZ#?mSV&{+DAN3802}K5=8J+J@XFIOUe#P5`y^SOD(6pvnZ)5n z6FHO*o^VH{J=hoCPqtdJCBy)QWh#H=k6^f{b>o9}dl-yTPF+b$iiGbJ+f<(jA%CKN zkwY;b^|46h#AOAQI8avLVHv532Nrc+z9FP%ku*;HeZM6ccq~b3Go^9RH76=wE0hSY z`pO>A%>@!GrJ$n5f1yKbUK`u1&^ngmOM(SM_ZFdp@euE%`pM-u$~%Ak$|2-X3^dU+ z2$K~C!lRynIt}Dc{+jOh`HKQcK%*t8mme1cst?axy@~db!o=S%&Tj)jaOSPGZeTEE z-!@9S#p+AsFXQ>Jc#asJH-Y;SPN%0x8BlL}|=~TO@5Sc;c=4`>o)OLIyd6xnpGSUX zk2Wg36(oZ}acW~dGgSi^j9dZ|{+Y?tN)QL^jr2dNZ->IZLq2&TYcbIA zmZ5dWPz<`y;vA&L(qQ3gTh}qn9sa-`wHH64i1jb+#IKf{39xcP`9;67A#~=|zxjIo zzwT1A)-Gz~kha{TrI+TYfv z<@6CAD+qP$kc|OJ@iIOVy06RiEuA zEvtLK67a{#tO$aME2lr@CdwJZ_rafv0>RJ7KU2m+>+Tt(!^HR1 zv!@a_+3jM0w$xsR4|9R#l9luxF>f$9u;Ne_0-8#F3Wk}`WU zRYN<1CoTbuxLZ|u7Dx~~mN2P*ITmi;doQ3CkWTPZB$YV4@d|?nH`q;-5wD6>yTy!- zClI(%E8^|t#T^3UVX^nGJPv?d-FPYcf=Ggguk;4(F0qP$lkp#zy!?*?#SwG6T2m6x zzYaN*`&SF&^{)Ie^9kJ>e<`E8Dn$Y9s(Lfm=i&)m#`!9kXMC?Z6A75DBcCvjn!^vf zAB~zmkuYpNarDncbPuM2>2Ww&WCt^5LbCR zT@KyL<2;D-+~eRV@=(4AAWNqAi%ULA@Gs7bIM04f7~=V@oeG1kA>u~6cVal6D``}C zyNV}(h4M#H@_|U$F%!<8angz4WgL$Sl9r3gw)qhJjpKfXk{SyWT^KZPcfCP&9_4Qt z$^MEEKMQ3;&9P@C(LJkAQ2BelP)KfmecsQU7U_lmKkv+gK2y{`bJ(}^x}z!Uu!7*V%Hx;KyUgN%J(3=!^ViO30$*GEpA1`xWDvWTG#6HZSivM2gez-Hg~EVBDa zprkk;8Hw(hdQY6M%TPu0LH9Zy1!6u>L&Fi0jC7Wts54CX9P+^G*Y}eTIMZRWknO^$ zPg!u$Mv!_o3HiN_{Caf$pg+()&K)+=j)9vN=I>AIB|x9Z&)ZBfsqiVP-01W~0vIe> z?(bnlK5f73D&~;?+M-?WRJn3ILDdB=Ajv?L8ie<)4hP7b0bd-tPb0`e< zvivi^u0_MwFqxXPwDbS-@4q}cDrec00WAs3x+UqzC*w_{(B9{nU@Vc{|72Mh^ExMc z@FIA@>kgKi9`rt#zx>;%ptuZJ7=&}u+$ir|xU}LAO)@;FPW|q>f%H%hiWHI)(m;#B z<%B|MDo}O{ZtO+=D}TEV)~L-CgX)wlpYD_`Ci!viDKq4UV>DKwMeUE~Yy%nZ@FLx} z1M}*iynZytK)rkW>Yp57Tr6eOJ(>q^G%LcI(Y!srCMaCucYd!0`06xmQDl$&J@&Ag z&kS>S7L@dXrM7_ck3|ONz!xPU-M2D`c{Lnns_B652Dhydfejc79 zhUZP-zKyuQ4?YKu&%@$#6S%$(zlX)o>+rs=?8Qeb?eq+|2Br?R`Tp?E?Q)}qxe4T{ zQ(fk0PKNs8$7F9xQ9li(t2Hyow^7H8+WB`n^0}w+yls^X3=d9qlzKRVru(%=wJ2u= zUw`|*UG&)N1BK+f=%mp-c`n@|hpJ&PaDRSz>rH_JHrd4cqxf<%nr9O!^G9>ym7b}a zJ!q~j`KZRYc6$u$leN_>&rJkgzVvRI`}r_)l(LBf`SzuIMPw;yhd}LGBt!Kz13yD1t69w(-VdKJ5y!+1x*wSfZJ=Cr{Ie? z_F3qLEn~U?=u>0a-WPm`dVQY%y|K3&o$G8p?@)d~^S~YC7qphdcsd~uZj&|hQZxo) zO)tE^hu+SDJ)=7lc#+>{7fas4pmh?!sVcTAqz@o_;#$B!8w>jDt!rIlMFf6`TyD4V zJCzL~+moIfu9w0O@w(QSumIS8X?feX_!zjC z+AZXpyM=c<<&(XF1M-M{kP@ynq=C*$SShqp*ZL}neMPN6${7^Sf<*pw)wjm}(5~U0 zm#l$wSuEql`p91r-{&~aI*Lg-h4yE{ksHY$z0v}RdaVvUb#})OGw9W|E{YjOerj9q z_p-;1+07d<@ccNlW85(M&e%G~#_Po4zT3$s+P(y?cc>oOwJ=@+n_tb<+BWkDd}^sy zq_%g>fpDM57o6zt&PW!+avJ%5Eb8ZfoM(uJc?_=!7){E64|ZyWop06n#AR zZNV0H<=@}NQCkdocLblMoBLvFp|OH81v$k2?qnz_{XL%r5tWD2dZm-#bj&Z+5tJ{0 z^8k)FINmlGH&NX}IcXMxSQaw0Dy0g^gMDgimjUy{bD)tf6HQdHlj%}1s|(6hy> z+V*HZEw;snJFb}Er{H$q5qXhVxDhhBr;9!oBqOD-o(VD1vgJ-v8HgG?S+{r$Nzhy*VG?u4hcL=!lS^C8|J40$`|bsRAVoCk59>l!U) zczrM#I;1W>x$h`L@Gs7bIL{_N6`eQ`T@2I7N=w!Qj2MpRrC%B6S8wJ*)ydzNAL=7L zxk_VqhoB$9%Qzlu{5iz)>?q1#*y3*-_qkc$$MfDz0`-4mXFvDm!uPvZ2X_Q{!?9tD z!#i0MfjU^5!x8BoD@0xFr2IvQeoJwfFVRa9`8wt=jV#9&g3SRLyA}R0*q`}9I#44P z!m=iv4+f&Y<5pkvXIJ*aFFVUXacw>KgC`iz%isp%EYG6svkn zo}hx=+}-qc!blzE>4;^0NHu{y`MalN=8>;;boe|e2ASDG*8+|w(W6-?e!59jg(GMV<@vH^{YMfKk%EY-|qq@+x(=no;kxk zm&pBt83zCJ@85d)dH)!#FO+u{%GV$Bh2hl`tZVOmz~}KC1C5X}v?Ys9xm-4b^uXA% zj=zB2q~z-}LOf6Mv(Ok&_XF*n-Mp7e?BGPy{)*iEK)Chcg5%-!^Psa^^zQZ(cJNnE z{KbQ_?(phHf8Bo97>H*z4>|J75`2!XvGJMt!>gH$lv!n8bPpD%+{NhywJXlA$UP!J zP5JlL9+LoIdX;-CGbIpyJepzV2zMsdU)0RBlJ;hRubfiPg4DQuKlF<~MEO_pa&ogC7DR_|iXl@}xi_ZyL`f#B;=OpL5)o z827KkeNOOsSbS~**LC3M|M+%&C7>7*yhN1k`rSr)K& z0H5e(*&Rn+V87M_eIFTL2m103W}gyx$x6m(=hvJ4h*c=)I)&1D z7;rwiYv*!89i3mvAKKGk31nOUy5f?4sCerj4>RkwZ%qzBGc2H)#_de(&zfy)s#jdl z+}J_#4^1dXDbVX~w##Z1WRA5|>7x9Y^aF!xmxH3fT9i$8n3f+qC;FuRHNQSwJU@Q+ zETSfZt2?tR3_d#Uv(y+v;73qI+Ws|eFHo=l7nYCwu7k6e zsoKU=Kq;RjvnXT&-shGneba+MDJSE2vWP$YEURU%8wm!o_2ehtP>!O#wEkrCeNUi} zOP|?Q<_nu)y&lL73YI=aw*P!;0p11EE8(XC2^>5Y_*MCUm@tOp-T8%$-poYwJX`xf z@Xn5bXmnmvqQJx*>5d zhS$mIv89Y&KlEO-PD%74QSM`C&$TbOF zN)i-!4?Wz|<_s)9?tRMM=LoNLnV`wd3d8HC##CTrmRb!o(lXR%+ijuhbJ~y@DH_Pz zwtF4bV#XB721kxP3V`P8yQ(g}HN*~)Wpm8E)xdVe{OA&2H-Ufe%sOh({HB)c6H{H1 zD)v3gNHlCmB(c8--JSh3LxaGnnrS_3R}c(VWyw94Jx}lejyE{oPF-xJW9XI!Cd`#S zyWbB!v|VV|F%5zS+uk5sDl_<9H@NrmtpM1!he7>@geQm`&wHHPmv%mB@hSiauMmc_4{N(tvE%}0(4qSb3{Yc!TBT)M&9{VNa z3OCkhuj|ja0*=EtAL9MNN^gv1*$y>=2XUT@<(CeuDE9}tq=644+p`4!;=G9S?0!y? z$t`rxcI-UgyKi=gPq*+qp3yUCZ)G5O^)G)5sziNVbZh2@qzA#vI38D94oV60dlUSP zVu`O@|x)hAA`vNm@KDlE5 zH$04527Ey`zv}evuT;+7@}Xs`-X&4!3MKPNeu4~LVLS!c=DWst`u&y zhd++N(Ok3Mub2d;VNi49&;?tJ?xB$UXQA!@pgQyod=o)dfRyxwJ~8Ik>}zmOkh#`Q^}EC8^U<^Sn-_@hC70-Vn+nJCYJ|K;Z6Z>TLGGS*XLBd{&r9q>uO5caCfHzn0`EX@5pXP zc&K}K`Pl$9&}D1T^-xP-FM27L8kkOF#r9eE16@&$r>rlF=(T;YoAQE|M1%w=*>S!- zZ>B`7kx^&q_i|gJ`N03bTDb4LNVUfVBIAZ#@2(m_Mc>O=hDJ(Is`cgPjQFY8x?$B^ zzN!il54`Hh;@C0U$J_T8vnpZQd%vv?8d^bRS;y7ZGbWHBpYm?G!4cx70*7k)Y{6@l zQD`L57Iuhe3s{|ZhTMn0HJ*NQg%wuz`=vJaU~}pu`#9zZXO17p>@`1zSvBRq*^HLO z$Vx`kgvRz`zS!JIREGuJV36BWW@rqe!|z`Sp0I^1Ez*?L9y=l*7S9pG^Coa#V%)zD z_c_7mVez>MTwjOZ!{X<4cwbjd70J$^XbZH{7Q3o`xq@UPUFY);`!M$YxWsn3Z;IP2 zk9{eWIfC?18yZdb1)(EaePyBjAa*sbbdQvv9pJ0<`^v>nw01DmA|!hDA)0H+b{Q}W zKM$ew@yQf*h<^tQ+g zUzqne09~Vt)+VhB3^#j!IE;BiYpwgo7yR~c{X(gx&2evH?Q8$Gsy5~eR3q;{@7w7F z8M#VV!%OXm{x0(NS-+4WTR7UnJ{HSn0R6HY4bD7@#Qw~sNC;BP@dDVN6zK8t90Xq! zpjfJOf&>4wH~CMx!%x%E9;y>gkSFmZ%(dhI7E@$MG8{LA&nubh!X^epy@nfd7>ji4 zV)*k;j2A>@cR9hPwwl_wg&o{r4@wo>?F<7|NxJNRo#8N-OvZykG1v&X%;`&Ffzu9$ zeg_QNgWMhGw$H2@u#-l*VW!yuaQv7{sZwvBJ_Ynq!D&y7kgr<4zt@4|ERZ=gWRli^ z&MU9}__e*!6oh=wsJyo^hgn@F#)l+FP;m>;5JK-UIAk|9m%{D)Tra6yyPMC0G5;0+ z3nNZosn~FN-Q5YoosRN%Zg&M72cJ?Er~K%2A@EK{IIo5i^%?j+2zjgRkkjb^mG@uV zU%MYj>?Rl3mHaMD&{u0 z#~#$5wpzt{+hVJiB%#642rjeL6-O-VgJE^2`$>@yur4|nn^dX}LSYIsyH5EK``byY zx+f$P?JLj0KlzBSFC2Q(QJ!Il;XHuj4UV^pPM8eWoE?@h;VrA#ZUd(Y4g(v0ZoZtE%|-Ig%jdfG|Ad3aXu@;`BYJD9K0HP2&}0RPUoTa&r| z@X`036Xj0}NRRMu`RZy8KMR)PbG{gXP`CZ@$N7!~F5`UVoBvIR^vxaYUAv}2V@0s= zsmL=rnr^@u84}knpa(^3ty(km?oi8h>#n1KIoO8ic|9+2CHPwNh79fanh)rGSq|x` zJO!try1G}#o#3Z5+TGlid9Fa4#^M&8FAoun!bvxM)FCU@DLIk;4Do%9^C8|Js4hJ5 z3_os1@F31}*Z#~NTUfLPN-8^ADG@V*e{o*Kd3H~L(ksm-d+1X%E*jWx12~>vTwkbU zG&v47t)%Vj=0+fO(2?VLtrOt9jN`Edy=d3?oDJaojpM%jy|14>D)Phr?M+wqQPbuQO^OD@xZXsR|>zr5lP%&i&ru+kw zw->drPO`ZM-X&9r-p0|xJB@I3t1pU875c z`tN>F!)qF^JZ^zWxJ|FD8Y2I`z@keUD7VG!^UyOR_9)=~E%EA2U>5vbUiE)%9S4V& z{%jCf!-yAqvua?>59!sn>d$as9$~*yI4~yP;wJ@FtS>~Hu z?;=w{DlSjqf=wh0)tnUlIgkA0e~A0Oj7kRMOF>Gsi5^h($-YWgS_QkhqL}0ph3+{D zqT|Wl=D^J%2bmtxOmL_??s{N39cuf&9^!{YSd;x?rrMYXfix6Jy2y7sqT`8e{c)rR zo{UL(?3D)H2YjS%?nVALPqxW4qrCRr?!l&3vq;aq!#R@%`F;GQlcDAEL-{$c)4o(% z=7DhE_9~gFbfB##yKo5k+T;1Kc#asJH-Y;S9EO~DqIy72@*-uOsp=+u=#sNq+ui7X^?E^LN-6Rule=m!I z^}4%L`|Q!a-CFlz+Prh8%RG!Ly1psvD}odRpjd(HAE3PC7kc$o7+9#Av(3P)uYLV(4Ib1C)g z*pXA096U7a;k)mmyYZDEqF!xHT*WgF*%Qy3u$IMs(+&Bm-umS5WFN|(S03)kd9Q$h z&*0w|WVz5(dO(3e4CP^t?-AGaiigW*iujLECc*UQ+Kvw~vCw~Dmy+_4Vgf%b?+B$A zd!l;ulx&F2D~GtECq{aTzCcrAQU9VM1U!D(t^`|UL#+Mo6h-7GeS~$!aPdk8v>rdy z_BJUV-FtssV|kST>zaST`+ht;p<}t+kd5YxB3{MB40(Z%k)?n3(_{h%pY~q<7#!k4 z;2lM~CdG@Zxx_yB^=y#zTt5e%`liI}vAam@D@rAv{g0!OU$Mx;)vO~CkafFLVsj)E zs?7Lbt#L*X{@Xatl9xJQtA_u#&(74Q{z1N4TlHEJK)SE zq4zb&8?c*#I*^zr!s{f~UB64>Mi7DPgY`EbTNaf=dx2tZ@>DK?Pn^uNJo@rz4n*hJ zEm}T=Tb)&%|I!P=UYGoO0Tu<`?0)+;)MJp&F|2)u^{fY+zTd^ah|YC6 zh1H(&y)FVu({ahPa3QQ@MZ)x2BFbYq$j+LMnPcIL#&x@7%`mEnphhc6H;~Mom{_Gk zy8XOGY2OJuEZmlB=2c1_vA>1I%xlu3(fn~CkF$PR2Kd;-%E;y<5Ilh64UV^;<}X!p zng@cMRL7}b+R5M?QE*QV<)&Ay@A;JD=?yRVOx`G>+?qovO6DE3@t_*U&H8^iPDhOT z1Dx-u67_dHEKrI(o&+o@Pd>ZN1j9yxi`b-a9xwz?VvohMz~6-;xBp}^Xt*4ud>>Fk z@DmntLG<9^L{RUr3zJYqehbqk`Wg#pes2pmT1OaltXfE5qRmtduY%$I-~JnyQJxyk z!&+4*m|pj%g521T6KRe+)IxdelcGR{{eEAgtI+Oy#O&YF@E6HRQS{;i=On)6Eic}So8eHsk0D(5kxoI0Lmzd-6@ z?@G?=-=d)+dlzH}7ZUs=JF}0OCR-CS+pIoDMk+2 z+hnleon4G~n6tT&J@1n-MVb3Tsl zyju>_CXZZSSQij|(ZO?f^?XEAiGBd@ul85Y-fod7A#_G~-w?mXuV&Y4isAi%SwIG4%b23NY^O_OZ{<#@_k73#=P=0;!Wzg$u|xy!X$%n(jafv^YyL?6=MW zYLgFr-GV9L-t|)7r!EuD^*xh)q?ra+f&*!Mk^hG0sezY_7t_JJ{fR68j~w8Pm+`w7!G%ZP)}6NHz>jZv zSi*}aVwDl#=XiI-0>jsPMhy|l4^h5z=KS0jG~XlEO*Q$fIs%#occxxOeLVI@dnE+< zO<05pX!j}v0@I62I^wE)a5Y7!Xd*in#`7JxPjsh2wz;sfk!(EN$iDjUm{vT9xH?@) zl=g?e?|H}$I46SN8P?O0`- zxzj}#NpPbtF8W_uJnZ@^uloh@700q-Q}`;XyGiq97rA(_y#1wJ@QWY3yAbNVW=10N zVeuR>JZ}Q`CC2^haGw)=9u}XQ!1Z=tNVuSw0GB?|o1_nuK4ON7IrRzfj~i4c)t7x@b5+DDImnp56` za)s74?u9YL!JX_3``-px2!F`^gIR3Q_n+^Bw~grjYiqqU;o(n--uv`o*Wd5FUfA}$ zX=XcnKa6bapMK(_+jh|bm@{XxjLHTo?{#u;#st=6~QLg|4rv4~5 z0e{{Ga=zLaq@S{)Dc(zleAJ7F0z#QnBe8&d>g@|C_v-2~MUS&cugXF5%nyuXfqEtG zSgv#^WV7WPkcmWqPww|1{#|H}cnd%J`tHB*L_GU}e$a?d59O#1Ta&Y~h9UoT_1#`b zKh{!U@|95r<*R9&HCOXZgx(FN^9P*c;0xR1v3Y|4sGOSp8}%U`()TDbCd`<_FU#wJ z`{^=Z;A#DfD{^j_hG55xGrA|manQSMO?E>dnZUd3e@!eOX;B{U);?%7cKMJQm<}0& zxw)_W3W$A0dhK1@&ln5dSM5ey8%)9Jv(KUoJqfg7O@96t26C9eaU#xaY)r$y&^jS39;wNMsGKGg^X&>>ffGDdp5XwA{EOTnO$ zYRdQXXDAdiCm&=(I&Hju?kl<2Od_3&-`Dp>AJE*~eLuc;P?inkx9>MOt#e^QC(^Cm z6Cxq%<@jIwr+z@=pkFsV^0RD&PhsBVURVo*f38rfg9Z7RpYePfspvQEFc2uKI!cK&ARPNBzQPveUcBGAAG7*7HNd|c&C_KZJAL?wBQ}S9qWzBiy>MK{`RZr%YVGacU;=G9Sth)8S>iE=b7**XDvLWe? z;dmbGB)YE<`Hb;0@(H9TBHR+_c4~RRg5kW3<8jR6QPCy=7lOZW+z&2%Da@&aa@LO6 zH+iC*p!#b)6-zcjfJ|kU=1_j)GvPr~Z!|Z0Em3sa*%1z6Uhk4GZ|H$mUtl%K5L}bU zfj+8xZ_<%pVBangBRZ6;w3OqPd7oQ-k!rr@1;!ZU z_qEjz;QdwArra3wzidK3j`t1ZT=5cSJwX`WAN=)H<$I3iCR_~M)lX>WfHha`)3Pp< zi?&)RS$G`H6?4ZrrfMU7|7?|;=igG;<{Ytj<3T1gJUzcO?ppy`o{OFudPtY+cKfex zQ7$;{x$8EWT>?kf7M69JGvJQFc8)2%IA|4a((`P|2A%%YgO8|@&sDhbKV_7+s%T%e zCnPH$Lhmwh_Bf;OchgBJP4wOIee+Wz?GnmkjnOZ2LErD}?4tU1a!3z*3JgZ(B4BrY z7H|0R5ZK19lllw!L{83$BvVp5|Ifd_c+ry1z%(Cxr(efKR_B7N-P=Nu-Gv}+Qj{@8 zsgHS%N@wSN4uqt?(GziBqp(NJb~BT{g`jDeDYE}&8T^X7)>8K+A6kFrajayO!0m23 zCT5l*@ENjf_ogTXNiF+{f%#$>pXy!Oxw{frjA=BSZIUs%kixO#CuP8Pz`XDaeI-=q zXX@n!Rl-WL)`$J!7vM9e?CAx;a**2V_PU0*5*}IWx_om_Bi4rv(ccq{+%SAy8uMmW z*_#GkyH4L!%tgLf1!ERG_mZIX>YSL^xoimKf3CxunFVt}OWNdz=p|_m>p^5hE$j;j-x1>pM@mfIC%6KZ^Inj8YAf7ve`;+6o#JGPQ?sJ0A zPvJUST#tdD+vDeTI1bp~cqY4Hbph;52T0o8NKbz@#H;cq%BfFk<4~~m22n$E-{%KR ziIw60bcVItX?Pkuo=%VYj04?YhaZY z8K2PHjYV?tY=UME%;tTK`)%t3alL&``X`ZY|IW_(ueyi_LwBf2>6f5+=%9T);+BvR zO-<{7&Q0+(`LKJ8!X0#;?0R^p^l}i^%|pKLmT?@>-zh43@X=DmVG*-z0#~h4VCYBY z?X$jd#QsdVJNB?;M*!Axxy*mTHXF3Nxq1zcl|$pwZaGed91wmmwmQyL4o!!|lD>~H zV>B637Frc2Fpf~3wNpH$u>`O$mM`{Iqg)9QyAuU(6CkWrulgzj@?E%~(7}ZK9B};DsjU4y z>0KE#+}d2q>nsOG)^}I*7LbpAncg?`>1;?_8Q~UA$_H)uD;hhR2d3@pR-0-l7mk`* zBP}ovPCph=#TrmvTA5J|*_b)#ABzZet}BKg!)qm6TH)ARg>n-Oq({JU@P_JS+ExDo z0`F){^((BAt{&e9m*Ns@t>jCfT$AJ_MY=@nD_(8Y9^J3$z@#P8*d>78H5H{#@}w2&-pS4el+zb;53P-*QkC$*45ca&=7HLxY-y-yk8~qw+9FG zNHEqa8Y7*TMfgSFb>d(uS#_JqgTVFLCllYz)Jvg~u5j(~?NS1tHm~pm`5<2p>lOy3 zLHZ@nCDD*?wR znx>n`j|Q(l&mOUD78RM0P%;|$Oe+h5IE}2#a!P^9(O}FO`L5Jm%%ciIJXz{rW9}1w zf#9dF_jdN5ZI6e-nZMWa&v`>>?G&wfUp|2whnMc^#Uj1oih}`NIe$8wB)2kBb~{2Oinb`k@AW;t z?)!WEAAcVGkK^OX>)G3JcVE|eUibC7uJauI{d?lBC&Ax1?iU?A!X3_^1A1NGyD@Y> z;u(I1c^4hhcRxY0Gw(+NXhmL{SVDULH~eXt?K_g6i`ak19*K^ z7C$V$VqHe;1>$vsowG=u3TYgM*9XhGa*gvhl0ai{$4D7%Dh!%tDI-E z;9_!mrYh1GI%767sQ3x_WNQ{MH2R=<+ey{aT|CH7aE+-@8HNnFPA4M#0DXU(ZMYin)Cs{~p9aUq!E_k2 z?lu#AmIt*OHJ`TXGvIkz_vSqE^B$gxtd5jJIt@(*oY7-BP(n$c{b@QMo~i~-e~!q4 zmqq4YiXy1bByDt0VmujoGlZK>k*`#b+H5?1{57IdggF68iZo`M*bq-ulxs>Hv9XM3Ey(u9~SpP!u=+2U1D6n4%a!s z_hIq5Z+t!ozlX*94R~F5Lo;RdpbPS0<6m9YUqIgtR&l+d)W(@%2>uGhg^3m=Jp|z!Td!aFKj{FbPxz?2_BIvOr;w8l)fOLEAf4 z>Em}}QC~0F@l07FX!g)Ea7GjYgv=*Z>Sw~E+*Zy;0e>)Fua-ov< zQ$6+5Y`FD;tA}Ab7U?POeOu_01|sS1O<|iEpliBspk%ucF7;GJ$VB?Uhr0OJa;IX5 zvx&M$@Sk|->QgX;${n>w3#xa@CE>O)^b;0Kot8^Zvq7xO=#Gzj~7 z2~;wcFEFD$kWcbL1AkJ`y&TKpjXH-M=#&3IdlmJQH0`~s97EHgb}@A2$IgSc&AVsuuc-0 zN5p|0>*G1$RCKS{=UE)XC*CiQQwP#5hz1W`scq9; z@q{iNo+polia8hIwwYvf#%0;c52iYN5ioVR&r9^ z63{-O@-R$|8;frL;wJ1&$81qqj>5e$t6` z(o{o#CrXYxwu)%qdjHC&JU;ZjjN?Z6WaI`r71BeYk2};!h4i4cPG%G#eSDmUHGi+1 zJmQoLOr#~n(R=oRb#9h>3GyS0Eq%vnJ?n$T$@-1mLU?I6&|9^pt&L^z)1NU$dUiN2 z<9sEmMk09(>2H!R@}GMjVhd4!sD*rEQ^40It$czr7e?>S=igY%hYf0>Vp1*Sm*Mu2 zgOfj#;A;yTe*Y*mZxAbP_cgH})$P5z5`}d034V$kVDsAB8IJ9EbZVPdFcB>3emr`Q z^u8>8&L4=gjv@Bfa6ZKAgHpLX)`e6Kf(LP);~ZvKMz_zPn4;e1k!nQnFV2fN&pw{_ z@?`u_0tfAzv{s_5F&xjKwtC>aZXvYfZ+E0=r^5+*?}d*ZP6RLGcx>4|D;mWXO7J(1 z`-uwo%A|VJAY#Wg80yUj(N0qD&Bp>O-Jfa@J>#H35zru%vknZ9?y$8H*cCHn|D>faXT`nA7|gzAPHu|8;iU~CRn3F0cZ9h*atPPDMV&f`em|6Fil)k0}JaGeX@IEwV>3Z#~#r`Dq& z@z%U|+iy?cle5cKK>g*|gQPVL6d`au;9^|lEV`fl4}U*FW*}{3D;ZRcvh^xWlAxdS z&;31xsenBZPwEiS#=KuM_s8F~1qM9iuGCzg8{bF+jeYjof6yMk$nkqk6jyV=wdK*io1y`j-0chx zm*`9|CYRvQKb{4il5;a#sIPqSapv@7b~ea}K0I)1A`{$}O_hb;XMx{vNJb6P+s4n7 zGmm}v#7!~$e38HYPO2OE%&jN?;ZKi+s?NxU`Oo1nyeT{-78DDNON(2PFXKQr?00Ji zzdvYle{75xJO}cJcvr4Tpt%djUG3qqY4A|5m6RL32UZs4X2wADKB~cB(Ay8V5`+UP z&mjM-(+tBGkuDC;->J}V=>3;PIX!De_c)ek_Vd@E`}l97$N2qGJyRt1lJAsw6r`Og zwppk_eiGQ1;lZ{<&>J*!+Mk&U2Ob}@{+=BVvv0xT@J7dgDPm(!nbFUw_z)e?DTkF95DfjO&cyIw$x(EWS5^&)4Diuz0@?uj}4x zRu+%xBtd!tquzv`Gq}Ct_X>DwM4Ta))&9Qyr4H?-pC1|K_`_k%13WJz(S28<&9Nhu zp4i|umi=eZe(}TmwVzn!5Um>>-AxI-Y)+ZO2p@}>RKv!9XV{GG>+~ynvYc!I9af? zI}7gc%*1K!M01=Z)F~0@yO1iX`taJTlbDK_ZTR&15m@#148Dr?O{!wyw~E>vBPW{wtX6cZMg6tCc|QKE ze!-x1TwXD*I1H>}*e}T+%O>z6fA{kmt0P&E;ZzdJAD;ssrgFQOe+Pox_Pw2NkiO(! z9`e4MNGE+ws@;;^ECEJXcWs=LON7=Lf!BLvd_nM8$L{RBcu*UDo;Ug15~RwVuJ6*# zgglbGH#F)_7@rv1v#Zpe1P;Da?nUOPNd(@l@xSB^a?d2w|7E#GhFCdKJw@hH_Ing((Ds?%vuf*=VkD zW%qSEPmv^|e)Z)u+9y!ui~N&3-6+r={`!e0J0G9ThBeonYB85Mu*E=cz(Qi} zjw2SnpqfH{%X!HU3%OJgG_VeU5f3nR2izF|Sq8?vNpFViHNIZ#%Z)49CA8ngt z2pluNm1`0Li;^KleHfaf{Ko@0-r#t9VSPaN@H)!p6~1++;SjiaGjS{o-DjM4S$l6g zY>1^l-!i$whWPjU6>Gtw5O6J1Fc`|u0P~mU%=eJk5c&7hD`q{lCJqjMJr~cUiTG@& z&m|D~LyV(Q?zEVdvx-mu?VCEf$P+cx#O zmXaaR|2plP?X!4-hdGSoSKshQ0%`quJszR6&}O{Rm_{26 zE(uKOi*|mPVFznb#%d5SrY^HZt2tru_p}6SBU1=m#`&ty(Mq3HAsp-=@`9PH4+wsZ z@v{htgaTjs;o&kg_x;ZM^w;i8kQ2G!Zeth-Eu+@F4-TREvVVMy?T^0MSDOTEBm&5v z3i-TT5Z_h#D23oBx0vJ zoewhoGy&&9oafFe8CD|CJy7AfIM3E|R zYB?N)z8x~Wg67*;ex}G)qPY^hE*kpd2VLbk;2td_5%DOCsEf)~9Og6WGKhKrudmWG zJv#SXM|l5F#|y6;gz~3kPp<@EcwInyJE+Vv6zKv7F6EZ4SOMcMGWmI9J3u3NrY(=$ zpyFWR(|K@!=8?Vm6|!#7v|_L`nAZVx-@CB~C_6&J5|`-TMLXp01FSl;mcW%atm^pK z2~MW&(B6&q;e3NGo>#x64Jw`yCsUPdz}|G8{8XO})c(9+XZP3vDhIM!gqmES)v?Tp z+{_k+PMdt{RkH=DD^5OTGH9>#_bb_o9hR{F@GmM`atq`~_$*yPMj9Gxs-@&Fh(X`f z~)Ylna6)DT@u5?7YK)K^~p~hG;n>bfawG*6uH5z%s!x@GRbC`bTxPrKd zi@_gqXK;-^m^{|x3>R3kp0UcgfZ^PwlH1Wb#A);Tc?#pOCWfDW0IuEUk{Q@K1#BCX$rT9(V4h7) z_T{1tL>$Ul?l(3AmnoN`jYM-Csza^_s!z*70g-ZVTY} zM84+nT^h!Nc-1Gxt)TAl1@`$fR^S+QbD%-V3Tgw!r@VHWf^OeT=Rmy$e74-}9a3fq zdcT7ATp2e94K3XbdmjnVseBOScheO7WjfepX{=yola2Nvvkg>91byqwv;*A#8TSdq z{bX?6aa^Ag*D=EP-SNFBe0~<6v%vfD_;(wg-}lGB?nbp9%uYQai{5bx!_SKksK;qv z%3(?OxL@$(%D`QDr|VyMc(5bSXKQ&2wXnQ787YPM^U#val<>aI1gKkWok?q~A^Ta} zIR6iTx9_Uu$FD0xK-DNk2iicR5@ zT?waxz9k5FHeYgNW&;CTZETu<%)unUzF+qP{bHdbYTa$^tWx6tq!nW_bM$Q!-s zYT0N9QcRpx{1S#>t-sw_r(z3d$4b0<&sqY{(A*2!a~4oBF}fAJWCcr6-#qWXItg)o z2AYoXRuF_uw`eo~#*`i5Yw76#IVp|lB|O^L2fL0g*LVsH$3bJuqJxDd?gZYMI30Mt zXy^cV92^-DNu5-(gRAS!O{UTw#P@>x-L0c4QM%9`V#O^HavIY*k|4p#ZVf$#Hk)B|~NixJFp3A7V3Fu5&7Et#WYDOOcQdeOEx36B#8Ih@Z#>nhcg%9XhZAV zi)|aihXv0Qugr=I&R=&CxPH86Uy1P^dwAb`#hQf2k-(>S_wOAZPSQsGH}z=o8D$Wb zuzUK(*cnE7;8?@Q+~Wff=53I#RTd{Y{J>*EEOczWtH|2b#q(^%}I zs8=NNkC$GgQ6|h5*4g~R8s1w&Uud4;bhQIaJSU$ttI&e#lhZEMSKMJbQuarCtv$g{ zi4+&UrZp%-_;#{x{7o8QDhf`FMEr>3hWK1hgA{`%D7PsI_G7w;FFW+!L|PF%%rAT? zRK`dXJ_|kd+N|RSJ_$q0lkvhZVf5&{V}dDmk~FAeTI?M3-%`ryX}f?uiu%I2b^Fxs5Sf1ItqLr~EExi?TtHlpCp@;=7FcdwqN$}-0p6_H z&E_d}g0H{5Bz^6}W&%%J#4}7v?V&j%k@iXI3MEmLEq#nUsF+Dz$0I2;WERFvcXGDf`4&d#Cdl3 z95aVZp&eumdM||JX=6B^C!TDt4B~KxC<%AV$yW$J3r6>C-H^p_UdHkGbK9{;^luml z{>E|N*5o+TJbI29iM+dCOda5m4Mmr-m<SJH(3_0x252tSO+89p?K+knNB0XG#Nb5PBoH!p2*ChDSIo=uwfvv$Y_OMKL5 z`Ty#oLlO;#Ll7?F^#ER9@#zHQ=SbTV`mA`}(4a)keQu8dhSvu>GDMmF{*S(yxB7>x zmz{yhyybeQyBjPzx9wVg;4FPrd)xXvnHmrnn5?I?_Qrp5U zGV<+(yRNX_J5A|nIx&r)l!69_--e;B^43B_VZb%eK_;p3*|Tv4Pw z=r0wJ9F+Hf2c)Y5=6ifWsKQp_z^FGIjbhqmc);>M{(XU?ODkuQ9>CZ^-&?|Jz7Wsu z$OTV5ft=3m;EN(Xc>C<*8EdqsepXogwf`*%$dH+15q;zX5AP1`eedQAWp7{ZUbrU+ z?{}U5tg9RZcQg~3+~dq4GW_T(iszb;b(Ab#7U>MK?0r$Hg!Wc)vQF3^8}otkUU%J| z+yF>AJs$nwu{Y>3`RANnafX1{uJ8oL7*LaBa57m7fbzGi58|7Gz+7%-#B#-xI7hD} z^kf-%0e&hSy7Tx>RRHWL`mTr3=4%uj-7K@eIUe-91)(FcZUPLSDUX%xx(iz zgSv$cJMfOOhuW{Ge}bLdcIFBIJ&pb=cN={PUs&8n4ELMB^@wr(I$Ylb--E^XCh++> z{2mtX*WvZtdDUXhVWg{#pNAM0W-g=#f@2YfNAiIvn8U<_`1c1v_rfhB?3X1}HFE9? zdm0VQViTU({gH5=mGT4)dkka`&93m$1j5fUR|c50jq1n${WoKD z{_rn0Z&-hG&_mS24Pq(A>*UaP93G$Noep)#PQ^eJ)1_ucr1M24q&Q%Ve5rH-rzr|u zl3<)!a_q8G0-PXGVC!ArfH>vEnSk%6a7e_q$Nt9uA8YL%&d1=azb&_rx9)<;nuqEE3>@{mRGT9YMfV-c#9%bP025pP%JZ3xRF5`8wkt z-cV7I>g;eXnZS>}=j)L#1{{G)qbV;J`E;l5aQZ+uehRkdnXBJLC`0U?lV(4wP#=W7 ziX&rZ82EkdK2Y{24AwTUz3RCg2x)grG^JU*ATTuN$lz)u^2L4 z0_MFRraEH?9Q@)nn?pJMMa`9-e zB!J)LVYy^3e+cM{@2R4-gy4PG3pN8Bh&ab_R_a2_n3$p&oSw@6Yw*dO$k%q}{h!*U zj4@{w&PPd(Da8BbWPd~*qT&xzwXTyhwktAtUf}-8!5KaCt@Q2$uJ4n4&Z}0E1rlL4 zA$+${f8ifK4R}Vo&Y^pUjX>5R>~%1NF(^JVNsI?h^?2FOpIyPJM0A~QuNQ3BJ*}0n z^TqJ|$x?e{5zVs)X7ee`QU#C>$giS-#s`V;^msvHgC`BP=HMciUlRpN*C&PAD_pSJ z$QuQB+)RLkTyCoJt^*iO*IjW%b25v;*CPhE7=cYa?-i+U91-8E-11<4CIV>R|17bJ zh=I))jn^|stOy>!@dn3R()ZHzI+=#pdj9z$b(=`YVL109*Ej+i4FAMPOCg=pzghgF z$D%-Tb1$`MJo2M)%F)~F?++?Zf)l2av@tyYWUsH3cR3k@Mw9g0=y66c8A;=a7Kw&2 zwR7=C)zM(g!D@3}#|FaAgvvSkCKLR$L&@=l6KM#LbiOs2MfVqzFT(hoydw$R(EG%} zUVaVfYmTm}mL4~T#@30_!3r;ehn>&c70-N$fMMB+T>)9l*ju?fsSi`r!6`Vv_0$n3 zh^=2D5i<#bimixoXGf%?AlP1Sf%<1Nxd|{8 zf1NjB(j6KaPR)xTznu@`{;?Sgs2^D1L9Vr&K=8GJ`j;-sw{h@(PkVwwuQ^P8%Gu3* zA%);4=?n6?cF6zw(^Ik1@={%R%o8isdBPWN_?)6*ru8NCLvcRD>w{N@LEDRVMg$My zJZDnXb})Pc`S9H9V&Q6XCHNQTMVx0B8VU~A8zqAX+hw*px4notX@L>X^b^X#FvDe$ zRXiF1G%GX@=p@4lUdHiwM^$Y6azO~e-#G5eWwMK%NI|~#z4=#NK1V^|K7(Xi8XGK2 zMo!>YTQFR+k?vZ(=?j66=Pz-;rX&1~mgvrY*CPFN9czrd(DYN19Hkr`d z$Lofl@?1NzIrWIT;J@|V|F?epZ+-XQ`tE<`?EYKd{kOjRZ+({p|E=%-Ti^Y+zWe`g zeHX5Il=E}D53K#*O-wjs4|b>Z(oY3DLKnG@PdI}*mT#PQFfstmVYUi-E_EA$xmu0N zGP5@(R8y5lGKaozH3m)0Aqp-x)-uq?pnGV(^BSX_UdT_QX~tZ}4r}I^z4qG_=}5FY zG&y`1gb=>SJVhaM_-LK4&+rZTfhw@Ct^HuZh7P4$@J5(JZC(mz6=nb9)1AH@L*m{zB~=>f0S}V{}yTg84I@SAf#uKmL7@!i$#* zkxo8;YmwjyTQ8s)ahV=_?+kxvZt^J_=)tXTclNYRTR@b#ZOQdYMY!6lej|Jq>0X~Z z5n1-k6EaKoC_1RiV%S9uSNm8$P;8{T<{zvLjCC85@3_x^=xuVZ3VmzfoVnfIiFD*r ze|PHb4fh3m>Qea&M}5I4=%7ZBv^zwK9-qjMw?V#hQAu7uQ2$5izKcAMFElQ`QL8HR zgCTC!l$0@d;s3zhhHRUAEx)skHXgxa9Y7=Eb(s$tVG2yNS_G; zpNb6ZC1lLn<8O&c4b$=U!)tL^@Ek)$^PT<(UwrBr-*9L69s>ur zzpz>hp*Z~;DD(L#^2rVfrq$U_fOaL}19E|JkT|sGEeZEYQ2U}qy%K5+sTXfJl(x7N z`RaO2-BnKX9ELyd(LpmM-oY5y*K*{qxo;peJz(V?b9RQh7yW%Nj>ZE+K>=MsC5mIZ zj(X0U9x&`DB9|H(1pd=beF*``FLKY)(8j(*!0{u+Q;ytd(F#c5NO>soQ*BELl8<}* zMJCQ`IxaXw7_=S9b%w8 zxUx6=Qw$N`i=IZ>ACb<71$+09abYw>yX@G^kJcx60LL2~Z+nl?ZEn_BV5UQMO!3Iq zLF7o<$yujRkel(n7;?}Dy6t)2((^?E^RIr%nk`?5j1hAlu|A|910J z7n4t3L_Qf$zFRklVj2QtcZbnF^AjqSWNzeF#(U|xwpy_f=+jqAzZXg*_-UF{NA_6*X07H*150h1D_SjyYyY1a!9}aUtRRI^V|}z2GUvu5fzIAU!1)cY8}1${aR^0zEO>pO;>0h$RgL_R9d>Mx z7li{?$YDptZ&3gj-3{tTyg}R2O-2ya7k+1&PMtH0gg;e%2JPYl1KjDVRzq*{SJcM zJ63szsH5PDHpzwTT|S_vRGnQB7y>R0XMdmd2uFC^?P|8=4I(q|%(t3D!Qn&3sDfG$ z9FB1Ftnmy2nnxBSPmV!;ZV9Olt?%GKm7f7@4UJDQxM;*@8IJ_`fb;r z&K@^gjt038qJp5P4NL)fX$)vip_}_o?-hO>tTp;glzeX-Z2M<1_;4Wo&+z)1tS%pj zDhzl0CYb_O+zm&S+ruC?j=%BrXb`;6?oL|W9SuvoE1AYm^I=v+@A{WIFXU4c!~w#| zV33(1^3^>7_A&~WzutrVfXdJMDS2$a4L&qxLzj#H2NWK!YXE^=E3iAdtKr8!B% zBkK$JIcbnNaO_Gf)Q8QI>mWVl{bx31ZjuBeKi{jjXdS_;mOcGie8Hda zhsAxwaK8y$ml)Tt!*x#ZeOP>N0-vwL?_u#1uj|e{V_#n`PlDXcvBu|rhd-^mLD$KsXJqUCtl^wQcns5y)y6kkd_NVN7st} z4krNi_ra=eXB>RkNwp^s?H4JAw1~K(e9OP6 zd7mL29$yUESB&(=eMKudca26sk)gBW#OXxhT$Hf4-9Y=OVUC4mPt~l!&c92G^z{GT z&yoxUQoN$^f)M8RYt1PkkYsT@pOhhhh|iE!t(5_!XR&p7_iNW^RF_aIybOGi3vZro zUGQ?wgn|3%VX5HhXlbxsqz3(_UnIhi&YCjAZU@sqq!)7LH{1w1ltH_qS9C-CE_aIlLQ+P}_XP-;?FN4gava>vrpoKxt%_SuX!FJRDU{+8dB z1}FAsm&u4FLs5TxuJdpb$c1OhCq0jboc5!FqfyaNhRw_xQzk%@f55u7O9n)w#6)7Y z!60~VysmaMg}_0k0fXbzm-z|2J4;a-tG_Rkhy!ii>vV7Sq{2(7j_2VaWyC%Xi$o8} zceHP?Ndas}Cy@?Zn3DD>T0iiO3}u*S3?Skh$Jzaix+=c+LczwWi!Ghni^x~ySNoSg zHYj0sZPdwU&mukBfA60ZMf(*vK5a0EeUU8A2lKf@=g(8d!53u7N79uGe6cqB%@2gY*4&|!2V277_)^u_ zs+c8)=a1|Ug-VVt9jIIhWhZG21m(2E70y@xqobjE^9jQ-OiJD-wt6uI?#9Yjw0y9| zsv?&L50NN=;N-=yV=EqDa_m`CsX#G^CWzLI{xHNAvIHGLHj9Yw{y@+eN|w`aOhynqfa490x1A5~9CmzW3ol7hXvYeY;7DX6_c5tdaHdE-YS7^ajLN@1 z9zp)3N_QUKYd#tSj^C~?@1<1H7#J0krZWcTu9!Pr>!8s9UdJ5H0aXXcJ6 z&<9nd6<48s#%}`G7yh9A#(#BD{~zPYaLp3nEaeg;yPHkaMIXQH(*8@0_R9X%19*Ma zcK_=~6XODc-|)I2lJi#f`WtZ!uMa+S->*pc696-M(%Tklo}eAjF>`s&1HLA&+~~1p z#C~8pvZX(rfk%OnE&6~hwET9T5D53igkLOt&|^b5i;1o2=Eg$$`^A9m>p|dR_p5 zAA95uHj^yF2*GqVIxj9+{Kvmv-H>TZiu@^S4KwIy27{pTXIA@{07T?iirIHQcUz49(TO74a~hj0DB-^n+*p!@*KV{hd16d(0BB8c8{i^j7Lk zBAD}HAuxdQZy|3C6qM2!NTUAiTiF@z5giBUYOb2~9kqhLTlpV+)uX^(dt2e%Pvm2- z^zfOfE7CL5xgjrzbiMB;jJJNi5`?~&Ha@o%`hYga1&SVCA5bfv4r4u*rWwFOKk-FzA3nNyCDjiI9-@IdwdB0ZrmRh_YuQ&<8fVL zT)z(2E5P?*@%d+bz79X}ejQ%dU3@hnT^JJv2DH4EtE;9+pDxOR?_mtgXAY;nNBZq8 z43mQapOLQgt}J#>>TpoF{9;X|3e_QLBkw6MCBe^I!aK#$cgpVtWwy8y@hS54o<|&YG^8>4?atjD3aLkHzv*@(zYkLy_8*-|pz>UL_Msg5 zE;yYS&cerzjfTo_8=!vsjf5h#Oi527U*|0%V`_ejV)*k8P&qG4U5bY}{wLO8iF7nl zWJPKpIsrvjf`T7aB6zb~iFIuU!#*R~I6Bmyjxj1=S3-M^*>pEce-HTpmk@vMZkH4S zKVDd?2yyQ70oiv28q|VWu#&j1%8yJR&MRe}u$fbZN3`_h=4#RKjE<_Zm=1j(ou%EC z%^L;hcD+juL;k+{nrn^DNY~@QpPgjFG*J+3dex%6Bo+j1S2g0F`M{s3MVB`gF$4}4 zY~Qb0c6P&XylemZczT^Qj);SAA+BSipQ7Qe=Y^nIs$61Ul7iv!Fo{b7v}u2}vsCg2 ztIQ0l2in#UBj2>JdB&57a~x;2q*6nE3A;iN2if1YY(pYnTl1Gl=bxKn+6Q!`atcz2 z_e;CunHKNEAm}Rl)5B4rPUHoiCrRG&WqU7r5V*dkqxi7k9ooy6rm$o}d!RTz9o(~4 zWr=)cUf5cUa!y4+*-H+OGSrt^z0@Um(Aphp4Cg%+R=t5`C46!^%NN7*N1*te@OA!+ zuzGPrUpxWLL+vb1U_d%%YVWpWwB`yzz9tg!eY;iNj}m>?9dl8;+&mTsJTWY1#lG1P zJb>d3j<@ScpU=A-Ho!JiuSfFvM8esvE88rtk?@wR65fq?0!x$99F;rS@I=3>43Nrxru^5NcaL zGVgx#00sBN7>1Qpf}gZSzEXB;ML<6HFDFOGI4CYQhP!u>@6tcq;Ps;JDbMtV4tVqY z<6C1gAG&8p^Ocg2_CYd9hL|!A}&gC0Opp zd%>zWt;}?<4NyI-+ACA*4_#NfLT+_?5q`TkAL8`^oyGx^-aTdn58^ym#;q53wlxx7 zJYou0f9Xi@FV2fN&mLC(S;M`Z0y-U<2U|Nl2wlO5`)Ai&O;G>cF{Yq$ZzzPkAoF>_ z5K8bej>oEzC0o8dAq0QpxZi8=>2H;@CvYjKZSIkYh6|&I;>e1vu+X8kwQ%I`!xZk= zockjPhPC5czl$6ucxT`v``F4F@&^$zXCzrj0L#H#gG1L2L(fV!`}P-CIPGrwW-um% zsEb^6ZC?zEXTcx|6+dT0JW&^g7uPpl9rPmV0ldB{9U2*7{*g-X8(uePMLUXqZPg*_ z0>Q$!TZ0N_*f$At7W21m7>TWRR_BB_X8tmZ;<9l#cEEWD$&$M-7S6$Fpy1Ka8&J`z2i*Kj&w>rRvO?;obd+>sfslW8n9%JmU&$D|T)a?K9 z@9R%{S?~VthMh=$8FjSV5tAuQWZx?E!svQaLyvW6L#zO$UeHUx#FC!9z&_c-_b*am zV>aFxGnL1Yn!SM-O;cz6Fhd}w_w=)Wtb;Fh|6YB*mslV+aCcg~D>M{iIoxSMG8c%o zTIm<`a(iNo9P>iW1q__Y%#}TX=;9q6aT9MN?9!TW~0}W95w9Sw-SNpjJnuus;uv^EV__V z)FbvH#S>E$UpCjf2cTC8lAr>FM^` z5}RZ?meVXC3dj;QnNc3APLtmj~HlcSeI=7j|91nC7RhP3PNUxZgYO3yS-Q;XVVn9xbk4 zhwGf+dyx3v1b*W8Z+O2Buj>*$*sg@rxB%Z5($m*&D1qu9=BkDb^mlWyVck-(#|(2c z%J?Kzu@dP5X*&T0P-fEpa8ueAdpLAjxD%ZxlS{&X&e=i4BqaCtnZk~sF2>RrF`#@S z|B*gi3#0u#kP^n}0ZY4^wd77)VIEI%DH|l^u=2}0KaQ(dV&;t3RNr@5z{KWF$<;1B z;=H*fp{{oPG)#O~RxwC*0ryHlWvKYS`&q|1k;#PTUf}pt;(~0R6}EeoqVN?vdhh?@ zlko`u{#IjuD3wf2)TXk*K1IpQaaTBEhwFKL4*cAZ`TM4om8R4Y>pj`1Va@UN&MjFd z+Yd){;QOZ^-_2@O0MFO*`?GY zk|(hBEVW_{aW{;+_(2y7L~E0NaKUVN7!_YSp!+59np34y4uIoeM8Lv4g=9E^ zckU96yQyhiF+2{W0$!gpQ}e`>TMjeK{R}2_H?o(Ejj`P$VKG!@(HNdTTJEtbjW>+3j)8Gi zX+@^6OT@SJjif7BfFmXpSp37XK?AOTQm7Vd2_bj@#~U1P zce#+)9m)>J&S$QbY9Ek?-$l+pGWl$<84jw0yz~xm)S_EkMfw0H{)0z3jz<-XuJpZB zR_cebHGEspx?_#u`Bxk3Ep)cr1?%OCQanNKiP?*=4$rByfAU4a)f&TbW28`~F8`h;_BLIeOgz^G z6PVeod4u#RaUL$Xy*L=keHwefb*3)n;?kYGy7m1Ax!y3hC**=4mj^st?A-4(qK>VY zocE4Kb(aR$o&MswnFPb@Gs7bIL}i5{MwwiUdPvi``wI&P!=WiVM6%y{Pf2~1g#BCi`!?bQ#_U#mb_xD_|{E?V&y*OoT z{sPV8JLFcfhRMd_;Kse6Wt6?FGMPT(Gt0n^_Nn%&--o z1f8o71Btpw(KzbKZ8uA7iHbflwD14wBA?Nb_KmMWL_L7lSBADBrV|Fv1i#^R!6cMZ9xQ1M;gH`!e5)?y+Ot+D$!&!(so!CS#LN@nFRNe9-Gc z0(1zbH~*d0#wG)*Z>tIwKzw;(@SitG&$B0ywiZhRhj+g_n9MR@gLPkG(>-nIW$s9I zRP{oA%6&65JA$FgUoUgYE*coFGD@l~#DfQunG}~v81x_R7de8ye_m$4V}EcW4(h8P zckMO{2ba$t4NE*R;Aflho4Gj(7#L5bJmo}v8o{qj(wfn5nr?^4&YQ9DG%bW=>bCoT z{QJ!e!=(CFNJsKmx|m8PT|w;pPxi(MEIJMp!1w3JX=eHw+Tki8S)|_AtAUu zpgA6FBI3raLsDT+HL1$#F;}P*$~~ag&Vy~Ny)~Cb_e&X)1CrUcxj_B)m|qg|T^l!v zbPkrtfY>JMnK7iJ{TPuYux`$B@P=hE>?kQ%Tsm4C$TO1i6yf=ELd^st$ke3g0 z@<%EaecMZsl?8N1FFn?lkATUmEbB$pNnka8gw5|O+9w>$moi~>BK%=-A2Hl-0@o$R z_3Ln*6MP>QKk@lG{2mtX*Wq=Y)@XBOCw&&INm9FbUC4$xR!A`N$pe}tV>>yDL`dSj z=wfA<30gv@v)#>$z{m2mxZm+~=-C)lb)!#&;p-{>1FCsI@-BLId1oWY<3_2z=G zp!C5LQ8~ayCXuJPGab&zJ6e7f$%Ysn&A6SV#SpvSBs*?LG-!Xp$i&}T0e<#FzRF^iz3HbO`$sUg(o!`Bs-ns!{M0~b!U7ZL= z{t5<{g?VZ^Qy`h6gUsMyF@&^w%KhCgfcLs#Y?nuhK$%bA?ztu&n7e5Cd3}d1I13+= z$zu&6@>T0YWSa%@mB*h~C3E^-Kvo`1Ey$kzNSXu8IV!yK^Cz&<<*TPZhvvaY>8DRm zC}u%~Ufx0@x{t0hUvNkvONMJK;rA;1PlAED!RlvfB&_5l)1$ z=dqbgQz(B{B*p`&bD{UxYp%%IK%g+89X|Rboxs7XHB#GN$Y&SFyY@KhP%%w(fBCPz zHyB#*-S3tSBrV7DOj@b{k1N&fwBsx2{dU=I-tk6zo6^RMHc>A_K->OCvZ8+k5$8D0 zYTQpMFFhF#QOB;Pb6@f!^7UEvp?#M5l-Ry!ihL)3XAM(j!$mCk9qse6~U9VamR@_N${B=bGr9Q z5nSbsHd^@;36CaH4|@&7zyOC^s)*xp!1Jf#$JDdr09$xpJI36k90@l+7qS>3Uj#HH zca_O~8mLfmT0)D=Xi9{JlosiGeQsaR=lc(M`Q`e> z?cC1kc|Gp;`}4XUkNX|N+fKXJ>koUqU>m{m(3Lz?7ZR)uCFaOqw2Eo@)pu_YN^SB= z)gyr_{SCJfJ(LHCe#l`oe{Cf_uyvK24X;0i0mAzgN-(^&CKgH2dV$v<^WSeh>9A=2 zbw?x0ajEFEWoMwoK#QizSX4(Y&QGthS;b_`kw4(4G$&Rv>POJa;*2##{&@e+`CaK6 zdm=JJfF#e}Pj>Kwnp2%;(viOc#=~!91O&J5ONJ=@tGyaLd#OQz3p78cDR9!2@$kf5 z!?^Zg*>08(7AXk2}rTA)fG5p!pbWbhe5FYr1i* zAJ|f1;z}mn2rSdlR8}6I*6dJRq`S`i3qmGl}wsY&aU_4Hx$y>aOh~si{(^}1YSNaU)KvL zM}0aoS=YehKYzXqX~ch#GZng`_GUk~Pl1x`awCrJRQQwY3-T%FU|r^~W7=0gXww|a zQBn1vrrBt)9Q8^E-@oL86pk#Ad78ZX=xGwrEYRuMv1Y-wR&(Yne2{$rr z30@{Ym~lOq2ozc&y@0u7h>(hWsB;DJaqPhFQQmZrv!Olr*Pj9`1`5ror*mNP;=A~t z8fnnqNIxab91r7f^Pkyd#UXrZ$jB~C1bRuY(5r>XU?DN;H*zBdSXe6ei%g_}ukB9d zNatAiqkM6r_xk_kq3j{im!?DDw~#X=H0N)$DxT}bkMQAs>4vtq5A=Ub`7vf`1(s** z){0O+8kP@><%nT<6PPbC=3j^ToM0<9H-YunVfV1uc^#(f{s?_I*!qwHn#UhsiQ&qH z+bi^$4%<c8$r3Lwl#h`k_w>zxl!P%WEvRqGbV)PMZuRxI`N0{CkB2tkLyTgR~oe)p3X4UQ_ zpGd;jlwFFRa+w)0q+qL-;Ux$J&c6(e^cqy`ezru8MaPlVkm|esc7qo6kv_B~`DB!a z{txljl(iA+`$NrkU7`^uQx3gNq0lSde2gJ8j)M`!X2;ZEnQ;(F9EXkchw zwB|GgM(UYk2K2#ry$aJjv2#cF?%3~jd3-kH4$_4^>pY!f;@MDH8=_Fl=}9%N`T^=`Bf#}B0fZMW7kGSE|6 zn@{PKK-|O!_bo_24Gt>XY1PHTqDgkrmW!FtN0M{?UYmjZM1sAaQBeQU9o}yPazu!$ z;B_AIM*heuwu9ElPkZv-m1;GkEQqmJR|!+J1UVV^W4DZXdLfOj4u!( zk7eQKwrWx}_L51NU}mR&M(INt?spv~$CmnRF9n$8V*T#15Fjt0*}rWw%7crW(@bYZ z_c{OeIfk>gxo;Y%N7JB$peI>fk9>ju)$0?>G)W(nm$o;kYIbS)f6sS&nmorK0p)vS zXI=4`jKu2#tCK&jDnILugK=C}QQh)O;YTq9m24FC-O0uADP{B0fiI`BA+dnT@R4N_ zxV@^nK9pAoQ^sG+%MV7wkoStqVjK||3}0V0_#T1hwTyp_m^x4JfLETbom0KhP~0+q zUR1)XoW04R5xapZk>xzk5obt^BwMzS};y?>2X#4(HHIR(UzVv*TMC+uVwv z@Asv>-kT84G6?ZYSZCt<``{Uo>*FU7&*p`Pc>u#33~#kwh0Qs) z6M;{OG5z^)60m;@(Qba84l>aPmU}KcLSK%bV-$Knjjg;^lWZrylG#t3*xaDtkI4HFQuuIJ4!o0vUje`f$A=Of}a0yU8(V)?%QzwgY zev(MfY>{nA0IyM-6{$RwCpee!N%d9+-oFvGvvuvQPXu%<*SplEMS_o6byTZ)8qULi z?R5tIOi&)=*>{i5nD3(wXV-4>w)?;LgEf}pbmmmYnzKh=T9H6u$?#6TtPzYkHO5NG zr9+v1;_Hfo)nxp6i*4a8(PpClo?>Dysx%+Zt!#}&j5S)e|} z5P8~`vB3Io^-H&QTtb&JH+7#xQ&KE(9F4@guc1E~Zr7W`{$>k5pA&0-6MfhGCmYsGXn}X{iGh>G5k=IIqGr%SE zqhcYhi<;)5;$kHzxE{dtRrKE8;~qUlIKN@KLGJhu+J2%J71IY{GFGmZO~?nCZ+p*p zdMb#jKVl|lWq_WX{$BpCWOy&mdi2WS3<$EIq}tPGLA6zY9lLx81U)O7p*@<<` zJRb`|<6?e|h;AlOFLM3de>oR|J98$=N#QU*>8#D{5COFTTLXS|CIM}uU&QvaDNt5C zO5A#c3|sT>LG3LPY!WWmnej3eBxJVL)-9x>3)u1Vj@cyOpHr1`)F44s;8?J_5DE2L z*Z6&>i-zxGI#;v%kl#P6yT(zoWKh1I;qkTK`#*nveb4a7!I*TI3cAGaP(p?X9=rV6 zYZIx_@p<((%Dl`l1KZl*-@-G7~-;g7Qnl@B6&*SbIVg+!* zFVLsRv=E+Tj;$L_7Jy!6?zK#{61djHn6k`V2nqBdjlyX~5RufT-{X{muc8NL<=(_N z0JiFD2*2f-Ooay|U9O&}45(HkFKBrrKvZ*Biybe@`xIc=%CI{FOmspx_k9V0Oe?n` z?E`Xv7 z9i8RlMKE%?tyerC3)1rypXt3zgN)XKWc$Gsu$2{QFZDz3iw{J;T}5*nyEzU!w(w=a zRxVF@FQHt>^---6S1Uw$ONlH;(0k)itsOiZFOtBS`1aBaB!OJ?lWY4|>&=lpsH~SP_V<3Ys(fL(07n&;&dvYZvngZTd zNfniQi(#ztlYpaF7`QBmNZ&NKs{ltY>3PH!*p8pEVX}TC&TQzKCbV&_0F7? zd2dbK@CXy2MSbtF{pY2vj-tGafBUm4SZ18C;|4u<8vfY zl-oPe++aS8_NjD9etW7S$mFoSlYL_bn~ax#>!3L*tX}ucYIDim@yCBJ&Bv9e1f)yf zv>eVFT*^mt3|j+LCq5I-cDUKfto3eY#+PwBngsE>(|e*!&7ygFrYoaa?8>chHo?Puq8JjcXkNdM?v z^&D{D9$vog91iz)`xr+h#X@oAnUVSNczmB@IGYzM_4AJi1+LpEY}0rif!C}1NW(VS zJszaO09 zi^p^LrY?JFe)!}KuX=V8exHj6<(EU(t-?!Tp~Gae$ait7j{bo#?yDKF?8>0;Q;g;l zO{+-$Z#}8K{AL-STb<#uV&BNS;8HM?-Axvc_o3cqWPLemf$~xR?e9{Rof;D;cX*Vw zKJkJD87^e;$yRM-;yi%i4TiT<;pet~LUVvs`$Xe?6cOLWnEaWQ%mz`W^doyBoMC0! z>EY_W3}_a9qF-&A0zvzQd}3E}A(Bq;PrQ`_UVlaF)wcyvzSoy@@y#3&(V#sM-lFPK z1Rt0K%4j!b0Yk1{%DgZIE~@?|#M~^y`Drr34EUjsTa)byH(^uldf;M03h zk762x=@zQr`l}DymICt5iWcIyjPaHDl{>eG*C-%*ui@wEH7OVonXm}m zN`XcC;KV}HEMR0cvC98c2(jdT&_}+9uBUVk^-X2te0}S=s8+&4E`js1otf8 zV~@WT;rt~3t>AaRnE2)*Bf$lZs7-MwzX!u%j1Mt=5dSdgrlh4F zU_6NN+#h!DLB1^+@G&{)&=!9koPRN1#CZ1Lf$ZIbEu~P>-RIuKvX_eGecwox_Lkr- zf~V;zbJbhYA?KHbLgMK#oR={?_T6Os{C092&fggBKN2~AQ9m~oZWhTK9hF8p&GGw+ z4~H8htX`5HdXWk*BkvCESB`=1TXjC#pAX=?(^qRe(fJ4Ee#Tq*F!hu`OPt{1Vqz!^ z1wA%6$AI#Dt9RJ?&gS5{h{Z21mp;L8kt%-H23sR4`BLA{+`Ra zgJ>DfZeqX#Pn&)eE{8@WG9F)J@{%BGj39VM|9vw3xfc1s% z&G*|Q;8K~)$ph0-&?#|j@s;@na5Ixsj+sX1(Kmh^T|s$T+ttdrYLj9>P~peBkLK~9 z=HQvV^Tt)!ncdC9CF}+tXL4_TaPbG5)jjRyDCaTQ@1-?cM+8)sy&pOFJQz6nC3jtL z4~HjmtM`mAqdxsBkNLAd5g_>RK#g!T$|bui&&!7VMl)3}+^jeChuKA!j3a2Ct^TOf zz!!9XJ2WMicIL6&fBt;C!&Gwy)Za*VM2cVOOBA$AXcxZS8w38|*u;)?8^W@XtZWIJ z7yM{wAPY5{QKO9lwXK668i&bsTmvty_(Cna? zkyZrcl4z}OB43fAty#?l5*YyEaev>9o}~8pW?$ppkp!QLC`KKT$zZ5@LaV4X5o8Qi z&sQBzgG`}mcz-qtHuvvq7hy;NxhED44&}&)7inD*6+YYex!)Uq4z&P@8Fj{(B zi*msWzgm%Ovi)Jf(yg9wIvhS0Y!-YQgU&yTt&Qd-U4hxSJL+<Mbh}C1)jLN3)_a@oJJg56Nlx+hiEPwApxL2YBp(H7LN6XF zARY8xleY722mvZ~4vm|kT)Rx>-K}{Df6KcIOq`~JAWrJs8_g#4ef7^dtVOuMc<;=O z)32;xkdC9!a#sx4Zn?=~Ipz;o&NP-sh~?H`{^pnuCbnX8_1OFs)~Ad0b71HG*!v-d zBOa}Feh+$fjJ=!M2BNTrTJ0+c=gFy)r%pp;{1-ODwzno81vlS zGg3f0<}|l@ND^51(f0Fj#X#ypg!*liL!Z>nlC%`?!z;b1ABe+)z_?LZwOxx zHvJwEg|8=HM%%tHOhS6!%5m+v86>>+U=pjB0-AsSJ_i}MpL%c#uChe6&?Tce8j+)a z*LV5i`!oHp{MMy>UnpX1De5FggH-4ZSC3>eB*=95Tlt{#V2PvxcBDIbtd9JNux5Y< z(>o47C@=!acQZ9DBOZ9Y>XOF(h7wKj->a59^_k-cx~B_V<(Z2k!SlBu{ z=n1hVfs)RMM4Pl&qU zc*m~o`f@+IcgOa@Auh{a!_8=(cGJjI9YZdjPiHhES}^O72>EjRPnz8GfzHxYH~%-@ zFrSuWd~ZAi-{%<4j>aexNX5}W=%b(NdGx<}mAd?JlJ=<%*fJ@OSEGD;?D^iwdXzZ* zJ_IgAH)#m3``~qf)yaOfkK>2?k&pU6TtB_LDNzu;*OfA-7l=)eaC}+~TKRKogamQ5 zdR3y9QNYZe_?KCh361F>ocM>K(vR5&U8>BPe$n`l%hbg*3u~$O7GSIW zd1N0t-!j?SeN14?lB&N28oN;62e!X`2$ciP!U^!Wg#RV?r#N6XDfoLKJqqUm3~w;J zjrrK%;b|HG&0JX-lmg_BU>5WJmOwlhd0dJ{^U_k^cNwe-$VF$L@{$!DZ3U4CGxt5OT}rf*X3@*cb9jWPSzl-e5}LrX`f) zxJAf7yDS6er{6UjaluiMaQ0D>PQ}wm@V%Ke;(0w0pSRMMAWXG11VYDY1NM&^!5~l> zc-tT(8t36Z$&5?+h=*KSIuC3*&jf=X$+zXtCcv$>4dq^^>ULCrekzcX zUT*gLKmbY4cWn%Q=>6p%UyB-U*{hvO0&(kBL>Z-nVIQSj7vilp^AID*g4>5fZd?|1!R!I{u9>jRAgi>mVJ|zK4&n}t$t-1BIG+22vi(wUCqd2V)czIJ-|%jLTon}Jjq@^w z$6s`$lih@ZasI||pL~wL2!g{Q(t!NkMLik3#qPg{g%gm+votq^a>sQT!?}v9QJqzr zmBtS-_!#QK%Kg%>th%LVua-frD|%_M+MG- z-Q^ij+@5mv!0~i&m3Vb~A44Lrjy)nC97%%EKA)!|KMdi`r^V#5A$NG2F?z*FJpc^) zjzM^57#unu#O?GW3Y^ss9*_tM0)^lscRuWl0Fxxvm}NbbZ+@NYjeKS>Ts3mqzl3z( z@XO!S3ZuLsc^w%Ox5hf%&lBlG%K)!pbkTT;N|x|GX*{`_{v*^K(ZSV&QS zUpcUV?sML5ipqQx3(-w4qME4`UqGS9|(f!M-hwQN%M_5^IzeIB#rcy%o77VD@cQgak#wlYDuAu%g8-9((t`zu4$2-;ToD7V9mxt^8!eFEcLW;LUfRfRP zUyo}1VMmO>(qU9@y3s81M2{2*{J6`OGdCUL7W|pQ$g@i z)6e1i39$NZQyv3P3Z%Uv3ea(8!LjqbLj#RSSN|!OWb`HCt9J|GMO9QDCFw>(sbn7IZL#P+ue;h3ZA|p@m~skW{lk>2(jl>(${~O4ofs zYy9`_6%%c-7$rlt+?m#N;Z*Q$mgnC_IY}LK4N&38Aw&Mx#9Mu2NwROQ{FyhrIubTfv!tLhy)R-lP6Nx=TTQ$~7VQKF4s@tfMaSh)xuo@jY>d zr_md)*OiEIM%S}4=sxh(uZX2|{Q1fsV2N`_@6R4jx9o6x>xtI|Rwo<3=`(3Z{Bc}= z9_dIH&@KcAxlqH(Z)6;wfL7|lx%NzSPSy4M;fq+veEnN@1DzY~(!4)-+=T!;;2giw zJ@np6wR?PG^&DP5HU5r#&pE8Xd0O>&e|jjSy=F?^Zh-E$3XF`jvP7sRjr+sS@S)uL zwiO$00dp!(Kn>GioE$ZjCV@ka-VLUwwRUSQ=YcNWBbPnTEUBCQMXmd|(Rug3{asTh z9()Pq(|U}}h-pfZpy^gobogpC&I1_UV0b&b`$OoV{m6f0i-71Qgd556c`85JNzkEG z*Li~98|4Yi{8Y(GhOh7W*UqB*&T9H z4`6t9oo1U%Iy~^CD19ZQ0CR__{brwNxYj+#k@Y`|M#&I|gTN)3mOz0%R>$cl{{r>x@;S#o* z!yOq=#;JCg9}L0k-3c34r#RR&Rhaak&Iyz?Hd-rWGH_hR_-d0R?YWh~R5&Q&*w%H$ zhAPmtKP`ke4NBRjJ;Wm8Ve-{Cd@1iJ zc_|PA?q2VmhU~L&e)`LocO`Y?8aQ~b?PhQb01n0-+*z7YU~SseD0M#q$6<^QF?~?O zJAbAAi8;=L7|)di*V|~iCPB)ERi#R$BhJ4VFJe5~t^K`x^Zpz-vGzNgagPg*=QmP^ zSsvU>1s0ILxX(Kt_L{u${g#XTZ~pNzhQ|_}3`RZ`Q8<5NxX<|T-d8P@S3?Oou0$tE z2Df+2?aE~*sdu}HhIJEhKqp|kpU4;v)?g9T9wd(QPEEBD$2h?ho_ShyZ$*6t8;SCL z7y9j>>T`3gVOcP=Jg0aOA1C6vNNIz|ZdX$QNb>Jlbq}H7x~MHg$2^lJ0oMbVzS=yV zt1j7@gYz4v8~(ggN=?zcOvQA;^M=Apj_1?C?4HlGd;}TTy>3Y4b!Wo)!r5=p-RUrM zzPBakOeVw(tSOs)$cCOFR9wMVtKZ^qR z{+pOvQyKlJ!Ka4Cs$@^CugJn`)|ybuFIvuz>!?4Qwi$Jzg9k-;~WP@j1#UtJP9zV>}N*X zk^%{aO48RY{QvXklSQW|?e}Lw?43it5A7+CN4cTT_AL{>eU;Rt`=kauVG{8f$RD#< zZG4G*(VwcA+%IZYn+uv9Y;n5Hg;4bV6zv<-Uq|FH_fObU1Pm!odqmSSkxtSMHu;bV zuQW=NT#+ly@n_??LHL&7q%e+1{W>WIOGbn<3t>EItvLa~g=~>-9Q3z{$tc4V^ z%Ru}wyBlv!5j^pE?*U6%Du!&hE=AqFjX55QJaxv8Ayigc*jwaw9>9^LcZ z+xz79vt+p0|Gwa-R0gcd-1gbLFALq@U;q6flK^$vcg|;>5}_8|dzz>BI~(RzmiD=e z7lU@c#0p(kHas-g@#NLHY-kXv-zD`Y4J3{>+aEky3^nzWpN`Cw!pO^mDKDn-pnyK` ztl>Kf^m*;FM554tHE!rnQU4*7#2)eH#=+C!u6cs?<$+q&?j$-gO zShxKkkPW|Y-P)Fp`lkKDwWB`mOMx1%H?`+cKX7qRS)iXe8Cb)fZ@XJW0XD;jtJ@2* zVIai!VRI4*M$Jyf4Q@mI<;R8eJfG)*3X6X+yLTM$@h7%1JW2;8nHlZzZ3M_a{PXGh zD?2!KvZdkzBLxOG`!RE&zRzd}>RqeMY|v?D=MW9eghfY-0C#p0o)3%Vh+!+{ON{x~ zVLm6=JS;Xhf%Vs6_psP`9j5E-dN$9~+n2%p-noFIwAt{kB1&&-UJ^up49qy9oezh$ zkMmSzlz^_g@rJr)Av{jHv|n8|3l>-XZ9NZX!KT3PNs}LQfW7jn6~9CoTw8W=2oaBl zXR8y%k-lVn6+T+wQah9nxhM1YJ-jPJr4c8)bAI2A>$}!+q46EEI#gxbZ`EmclOga) zzRDTow}tIbZ_4kiGQBwHB6ANMw8#V_aheN)5#?ZWbW$hCpcqzv+Xxc%%Ry#IxkbAf z;E|uZ_I7J)xOHfkmD(cegZx*oYqh*)`iv;w{on81zYuAun}zOo#yblMhDD(JB`fRN zr2y*Mb+2}Dt3o(@**t9gNg-VOqxERp1iF{+5HVZeAw%=_#x6kT#+ORIzdx>4f#b)k z%E{L(f;kW*_9kDnx(bZ%j=!60i-haqg<7emBnUgVGlJH!5O~@~N1n0g!~OV^>&}X5g>iREf@J+Nljcg;Vpu*i<`KA`MAQ5ktc^TX~;MZR%aV1 z%^-gu4DY_UuvJ+K7U6Tz&lAm)PNDvTfp}>(3z}+tUp=d+y1T|#2xK*K^Jq^rGzbw5 z?lz(Ru&8A2mLl|?{BNIQI4kDUcDo$)JuQvT_^Xsg;q_YTnC>IC#SJ_ot#nJE5P!a3 z3u@MGM<>IjoAfkqUE=Y&!0N>D(n8n@%0a?#J*j2J^}&@Y=s$HQvm~(u$ET$qvO7By zi{UMUf^?QD8DxLIkK-#Y2Ti)+Q!k>E;6(b^hh)Z7a9p;^O!&orwz&S14;bp+ zcjHIrKm6CaS*S)8AfGwkrQ0S+{ne+k?7^B16nbU5{S*Uurl%5IjPCW?{?=v|9rlEt z>>axc7AoM6@!3l>ul=ZfD~$b>M6?h7?eB{;sTWNu3gF9R+_Q&4nLzkca>pIrPh&iQ z;SGkjY|_H&T^~~5X$Af2W^~Uf!RHqnwk;q2HahK4x9|d}v+R@T$$~5Eb*3h$Z-Y}d zm@>dt2w#Mjj!fS6Xz~~H~w9nYA%-4%1YX>E$!)mBzvv2 zrZw#AIW<4@s2Im(jIW#v%eR=ABfgT8I%o0x9FyKqQNj7T5Nb!q-kvfhK|yf&(_?T zT}Ho_S`utgqa@5Prh-wpWBNip3CCfK4>5f(sytjx$-N914`MtgH7S4b+tn;^P8}a) zU9!OW7vn{YXAhgyvax-vfa-@-g4>t@j^{OAV&3msih;qhD)a-ITPWptY#=!ijq@^w z$9j*>yO|*#!1x=>1$QZ~9@viFGg+Ccw?(@agN}XQ`aTCIVD=y$3VD+bPL>|ws-;9I z_!H0Pq4Z_KjMG>!QZU?zodK`M4gy^cABIpN{gmN}S&?-7wmIfajV~AQjUGJ?zN? zcad-Ib8z&HYm0}#A=b9J%4FD)=@&igo(Mgyk6XpHlfforzM}d6`j8Lm?fC2N1);Y^ zY)=_yLl^C}n6)ny7zt`lU0ox=);;xw=l-Sv<)pJ0JBp9&@|58J(d~^OdXakpUlvF z@6h=P`D-ztuJr6($lnl{=>6LrkwpMk4rR-Q+-SJ`@u4{nuk(NY{FkRPw(=by0qynu zs(gaUAX-M5x{2QNDqq|``*`1RSUJspRkGL%I=9p0vk$vdCpG4{6nCe>t|>lYUo_vf zF8%)K7BM31IX<1v6_*ZWJI1QsETB0V7MW+~Q9Z0rN*9}aO@Yc>IjbM%@*z(k#p|An zHB~GxR=RBs{r{5&hr|gPpuAca!*@L$u5?#7d>PM%k=U_|H?L$s;=ol)BlS$U$TDMd z5Bcg~tG52=SYo;fU~8uM<-J)1{wwxFC=+WmSDz8y;g zOT)+3Kf4GpA+@!R(<%|_13I*6JG@{}xnse<(g=iEc;|F{6JTc7Z1RRQnwzrUt)dv4 z3J~};uE+r0JF|37rQ5^+C&|sdM8FEqhsAPJvHS(hml*SN!+cJ#`A}?*0PC;A?qRX> zI!x#I$%S0G+l21*Vt6I<(YeS;VU~I48Z>9uvtYkRo&u-*_lj&s=RH;)M-G?nLEqcv zlAbiW_d6)tagQI(XS4q^5Y3IIEnyjo# zeVD1>9G3gP{=36*Vy8a{SWtKKo;W=<6A7Z-8cf$;h2i`2;Mg8Qy}BQ4um5$0?m#kV zhz2^{MEzrdSLv$?(ER*H%U(A&`W(nPCrW3v$OM~Q=!ieE3_x~U>66M8Z@gaJI$nNf z67T@*_kNO%?X*JY|IvfgrWbV?K=~>&Dm>>!^_s3E^E;;jbMbwUWJrgO7x#y0QO>0n znPuexcN{zx+DeQ@_f@uz!>dj%xj23VrPz}>Q9tp$$(z4ENfrW~rCCPNfnXpWX|N>~n)dlUvN*Kb@o zE13Z|Y9kgkzG%RH{Y}4e&7yG}{AF(3_=!0Z$Gaj67?0P^0Bj$0e}Bvqv@ab#n&vUJ zBA&ta)kD3k=}zQ7o2fY@qb=+YS*G`n*N8^I=gNhJF4qWrpJO=N!gpCaQ5~J{j}8r| zPWt2ZYD#yyS4PejmPN{0>(P7w_IwqK=QZE!L;{;H%eKn&Nhbu((4T)v$ZcG6HH&st>$R%mss(iw`=P_fh+c=ugw9 zBmo+d$YU2aK|Xzd=9mTDsZ2Mhx5K88?`e_oseL>1K=YdoRXEgxnjr0N{X3A1@9%_- zEK1PLG+^o8ZSfe*UtRh%eP=J4OT~Bq!y625!QmN+8UcBtbj-xvRluF|hrBT_S@EIzJXGQLXp1!t3w+Ghu}*oKe7SuGVqZ z0p->9to9!E$%Lck7M&L8zNYppZJ}*t3Y2>EzrC!SkMmRet@x9hmtvsKaE^T*`N>tp z%}I#6rs2Mq={}_5;8Fr;c++tjUk`&RV#P;oWS)FO zMsrr5)COaj>TId)Y=)d7(Qz=N&rZrn(16!$9)GSq&A@RPeiz@e!rX+b{|wj@TLc5jaY#Xu{!{5QyF{U2Xm|c| zMX$rN)-jM4BJ#cHT_(;?Rq5?Xt<7%KnDLVWYe#&fJrli!uc2DMT}>!-jz-KB9{l^;a%~`Lqb#x z&mDQL=Q<<*3Bt1RoXkuTNXaPLY(akO7%yXZEH%UWum<&wVf>BZK9gfY_89W1y)zv` z5bVu>jEWxl*$gL`dBNwS7ZnfAt3ImkL1-VyH3@64?8ABI);pV(I+T-65|&t?tRvl= zbYS=|@{h1iWRaMA6AokVW0harAmh5|#fO{5o6i)2UE9=Yx0l(tF5-Kdw{jsM4c7yh zzB=PBDKFfchw~ez8x(pJ&$oDaQ88Vhwfsqz(j5r0=TdU=x!fVYY@PcEGs?9&|Ly6I zF+nO@uo~%Pf*aIy=^QVl+QY6Z3{OHocu{+8;{;yH#scBff?u0jEciAvl{P;L0d^q~ zTG##n$fc)M@7%DX&OZ5Q(tlSEfIi)6%Vlkdcbr|=lI{RS&080i9=pQ{Z?n@OavD(Q z(pY9Rc@3B*mg||E+~9od@BW^F@})Tcs$`e)-wRFyU4 z#Qo9qF){?=BmVazmacH;OOSV@4C>4IMBI|1?T_xUXVV`tg}^g{=3?qKl!Ig=jNBKmk`ySrgV7U?j zG~1}Fv#9?=J4xiUzEcG9FALn+{0#ZPrU@%7NJc=~=s7_#)DOrQ{o-AWa0(cEdC+qr zzWq3x7@qwVz1LDWZJ%Ge3RSJcQd@sHz#i%Bb?Z!X=(<*1qmBHy!#zg_Rd^zy3fR9; zKE^|{nxpRlo^arOSFBWQ8wwNVr6Nkfo=_=#rTp&~clcHOmUf%66ZCsLk(=7#4SRgL z-hQ+VhPoT=^qsUQmqY&*xAxyqa3*Zq++vJygo)H#=;02DuE8W_O@C0{#NVbZ=n9Od zp87s!w}*B6U4M6uA>NVoW$NZIfp=;v>O8IOcJ4 zKr-C@#Yz}qNrhg~mwW0Z<6-P)d*kQN$&l5%{BY(9>SI+MR2)~2fz@LIsUngjaPB;A z!YmdH6)fxruggW@>%-IGViqWO;g3z2z0VFe@L{c@z&+m*ngnmW-^?@N54wX0A z9BOJ_^SA1**jZ1C*8s1)by*_1b-lXP%<|qH@*or8XXCX+pRa!Y1Z8{bXWRB2> z8*7eWB`z3Ngx)W8#bQEZX$U}A;_#SY@`cvAt8+;x*R3o+hb(RG2Yuzf1bqbb}MT;I4@96YSdGoNQD=J`xYZr5bfWHMQQVL=yQAf0MeI{xcjD8)^LK--iQd zR-$TJawtrWcV0Vi%Nx`(n1aN+qF_*3XyHda>N`%9vDkSy6jW=)!f!6e;yBoJaJGm% z?@Gn+ZeAIAm?}jBwht=%_6;)s2!~5d)T_^bX5jnk+aGi|m5k^u8;Xdx;e?1HBc>Z2H{Kkn~G#p=f|XWb%luM`NC7XzsE(hXn>tgXa)^=?4K|OPQ<<0Ds57gcKWJfx^8ki77~Wnh zQdo)ldxcsUZ@ZO;H3~LfHQzc`i+o)ad*&qSd_m3IA=(4w?L7#av2JPz0;BxlN9Esw z;4{T6M2F@Q6{|mkFOEBno>;)ugGcVxjh_G~V|yPb&KOt|cb_KL#Q@WWnsvoq2e|9N z>tf%7@@oF^Q`c9qltwhiz3DBl%8%MakgkTBHh%Oy{`r}QUgR{MZFGa;aoKy}sDDl- zzTv_Y%8$W#xP9R^Q8^RMR}-QHiiS$jPX^m`fJj!-RL~EHHZC6rYki^YstP}JPCxQn<_hBdxB!nO>)oC zIFK#f9l3Uj0N35?@>2AYaJ~+?L_d}=K!j_D9ZDjdtikZew=6zAG>`I+pLYKuIjz46 zh4B4G(<`Tqq4vkv{C5X`Fcq}>x?KN19LD$%(+A>W1buq+{4pNHcrK3Vz^9=L$OkM> zyru&A`D6Tx@gl~vPW2^h{1GI0ar(*DGA$n*&l#7tb!U7fz%n(?*?tK1HJV+#-mVjY z^D>6V+)mf7mLNYbjK4A5FLGS zY?=Zq?)4%bChtqp@!A)dG%!1UFgS+l$mx)hw>Fx{Y5{>aB7)D+hR zAquX)98lj}%Tqlk)RG0iKin@Y{SXgdlUxkVPY1(hmtAS&=$@UmiYU>7vE z<8lpvcQ^FEKKGA+NJ{l{@9H?vx|7s@%sm)fZD{{oN9Q(mO264p7es@cv5K(miy+8L zTW#)EiUN77*WKNd;UNER|7+f$aCrCh<+*z`(Xh=AS- zv`mBx<|%EvC6d6XyLOLsMgllpsJn4s+7RXZt;Q1gy`V-Rs^?~z88vo!I7l1mwBy$q zx~=yh{}U!f`F`(Exa=&qryt!Xy8n@2n|&G$;>76J2ZtiSrj3IXEkT51@r#;5FABkl z_k_-qBmVFux2DL&7xh8x8j7NcN`Y(NDu=|Rl7PQb)zj`o4#I&;Pd(9G?!6-?e)+Mc zgGuB)Ryvetg{`@T(ou64f&g3lSbU146Ow>$BQK`@6`EIW{cSnmhUV`br?OhP8MuQ;9x zHF31vhfsf8hTUROcw{cH&g}grf3grNPi_orcVz%wBd@VPnn&!ch32Y1g>Euui-Q_hy5)z+mnI}I zS-+MJ`KfiZ`*rHpdqRO@ z)n200AR3In**rMdo(NSc{%GV)?LGju@6V5&F-U z81t{gd`_@=SZr#xJ^VX^Z%OxI1kwi38~F$Z>Tq)fg-_lXw-csWF@vOr-hxjg@A z7H|~}@4Rvl`NX8X@w8LTfc*u{B{D4N|6THCyyh1J(|+x%S&b?9`a`KL*LiyuFkL>9 zpI&1RFHW715u5hM_1%!22IX!I%2C*+b0-ez@5-Ns)-0xB`2JLp9=%m5g#05iEaVv& zNbqecB<*%*K1^#qDgDiy4-ba7m>meohtm<8)nh-)041&Bi@IZMWIa5SW{_hs{W9PcLPM)@8#QE-3ipZA*2H?)(1 zZ`YTA(a>^yUmYCs(b`{^4IAw*whRiOd`}JGbcx*r*ltmtGqZ$r)W3a>;cWMX@OdYi zXvo~UGie~wAFo%Xi=#v% z)c1$sx|QI&*~=Vd;6&tdR8d8Jod57ice<{;E};;_4b5%4N|PY0;jEHlT0Tr{a0xfc zqQ0AAc70VeN4nuOE9#bSL&fUnv0=1OjEV)gmoA;y`85ov6!%~qp+Ybe(0b?0BuQOd zDpmwfGKh1qcAaN)q8{KWpUBWqfiDtnimFwc$ zLOS~@=bpO*6QR`8vpfrE_A$^fZOVW@QlXDTwPS&G`>@v9jv}0&Ebr`Ukw^0{ySPrx ztsX~yrXo#4F2?D2PE9!1sLs=JG(T9>f4!f}4^$r34LGA*EsTdbY_^-X&ZUCC=+?c1 z{1Q~{m#b?BiVMKgBVwy@tv!^)#zcr7OoI8vV|%i?yg{C*5JJBv7sq9cufB$V?Br|C z1k*m*zG*&pYM#Twh^|UDF#YJrDvM2oXW0rNv2Y2qHNnOWDU?$3EIF_7%^D>6VS|#MyZ%!oQ{EgxMd;XHgyWFCI zb8zhY`Yf8uFAmN=A9ab^6Okr#%@XBFm#2zuFrxW|1{Yr1VQHLqYPCPP{xLlds**pw zyQK3#iQc@BlgSvMGw%pNbN0!$(=>Dhk9~wUDP@hTz3`a z-eGzG(^tOU^j};K7UBGc>4q&XF$=#&&QdX5a4|pQuK{NoMBMpl#pOVP9DdSo5j4*? zveEawCy@w;zp9AG{6zk3Y(goaNMB?xoiO{s%T7I17Gsl0Qw;I^ky4NOilDW-Mx*2^ z1+sb16&&}=0@B4ui%;whkiaB%pJEvdMHK_3@@mm2KZKj^fk-0k)|cJPdMOp$vR$_L z?L&P%Cto^pqw{*&%PwzsSCXKGoTdInA{MfXPP2U5l>`fG zuyk2E;t4u0x}wA8_l?<=%6)LZrr!GuU~CRpu|@q;zrIZ9J&lV8g@W9x+eLHXaxRB@ z66z1kFVSBcY$L(@B`?i`Nn}{5No{<+R0bz#4gCBp+=1mB(>afd95~f&Q(~|=8*a<# z{ymBM|A?ZKQTq*xVb3-ChX#zfP*_A7pZ%Q&Ty6@_E~E1rY-J(7IS|<$1lao9QZv=G z6ZwBsD-K^fN}stoTPZDo%!40y6^>+r{Xlc6?hOjuX6{}3Bu@s0fTJ@%n~IPPk-!AMaw#0@ zKI!a}p9{^K3vYQ&qyDw+ajHRRzRSr&=KC@+337X)_31-U-nBsfqic%U@O*A(cMLHH z_B=9jqtz~gLN)`X`K_7o=My=q9{Ce+v%QHt_9+p%gH8JVwv&K5-?F2&H5vXyXtQl- zrGa{V@Af(L{WF6*e>F(xv{lUk5vI9X7JhW^`ef^`fZ;SyxoG~P zw~qjO`@PjATwLMnucvDzDA(0fL*T5^0GdY?Ih-^VlnSpt%y=vzAK-%x84B&fD0i2} zldm`11a2`Fl0?w`FSdGk{qnz17mw$|VmV@1-UQ}LjQQ7LJ}1~bEH*cR_19tdu-JJW zrt2E$#HT5yrO+C_o7ShZ0CbZMT#PHogGFKm8x8WaYd;;h{=Fmz`1Ir3WiFS3gZM|2 z1iN^kW`7K6Kt3PXI>CG1C;ELpTrWu=+_kp=70oBTp&?$lzKaPkqJ6dK4wi>+-K3Nd zfw883(TY9>-=6|Wml zutjDR-5)_1E2EI=fNGs)wjMURoc+wNt;>Ub8)^Y%?0J(LOb z8-(S(eCS>+*X;;FAq|>@T3M!dr9n?xKovt>J|tWZ6Y}c}hyTakn?`f_z2D;qA=0Fz zB&A4^S;j78NMxQO^E_mp=Xsvzc}j+aLI}Ad6p@NhQOQt}q$ona^Ic!}{aydZpGW_- zKJO=Iy`Q|+(tWPI_c`af_Lg=1nk*)RaBdq1_YMEPR*K$xaJ)Oq9|m#Kg+%Vi2gX6( zFMIRAe8+hET4pt|ukvjRH;0{yfPc)5h1nRLPo&HIUDpwhv@JDN|BNK|IgYcs^La;i z-c1Ik++^p-ag?LAU9XEkZQB3xGN@7*WW{O~6W{l)a+wR)zeJFJ(IdK!a>Mbu!0SZ6 zx{s`~J(R$8_TS27j8;{kFH$F0`n8C_r&rpwVamwgA=7v9<9Fo0CshB8gjV_{yjuI+ z<9;3W^)-q3l3AcWo5d3qq7Tr!#&-RXa5;CmoOFPs+v30c$fKb+)ws2Yq6`>}c3SOL zN4eye8CpvG3346*ghEXJZ2;#iFRN8i)gKCo}{h;-J=atJa^nz*~+jCpG9 zPT)%^B=&dLA3T_ zsstUMJUx*M`WL>;v!K4*0oTXT8Sk<{#J1Sqc`g|`k76840}=@7ZbRQ^A-15 zo3kgT^MRxL^5TyRw%F3B3s30JLg3AqBDLL0hr}}mw-UbJUvIApgsnYFiL4_mn6_? zxlAg6=E`v##`zG}2TZaGO;!rF1P|go_kFOB*5PX=%utINC){%*_!s9zoM#;vDzm*h z%0Mea^kih7CxPd!y=AvA-OLAxKCAvwRiyJSew0|{N+ft0$Kwe-hGYU=~6(scl&Qox1WfDf9ZWZRbMg*T{J?np7G4A5}HKCX`g475W1+= zk9YHQO9r6_aDA2cs_LK}|1E;waNXc%J-9&i%^JgX!F?e$#Tl_A`1`2Aa%WF7JOphMVcLZ--9GDP^^38j`|yh?XDc#jM0SmmoIGyo1y;rblb@~q)%Pk zY0NqJ)1c{y;)>?Q3@B0-zDdb;18)6QQv7kj8+i2DF6Dj=1NW@aJymF~Pp+BLb{^qr z`PP?;AvCWlTp!D=5FHP1cCttD_a(sF{?l1+K170Z#0feq9NpJ^zHEIL`Q7HeS35_%C1V+x0MaEH7H!FwFFZPr`5A_qnR7nk(>50E5QkDg$1iKea zNwc7>mik&3eFiLAQcb@ZErex*#$O4@U&+~7rBZ7%2eKsWwJK@ih_%RF`ZN=_3*hU+ z5$&+QaXboiSH>bo}8w$DMjy~85JhjkS7K~FUQxJ$=_ zJwCI!;PW62SPD8n86U}oUIU&|ImdJe@4iuP_!RY{TsfUSw~z=L_mq>@uI9t8o-ywm z_mMA9G4)7MWft%b4xP?H=K%5B>SM7em((>;gcr!JtB1H;ucKYvpbLf>5$jEW2nR)>VWO9p*< zQ9!}Bvd_ORoYbdMml@3rcAtOz(oYCqnL&Iggg9^S50)ISpK z`pwsVKkTqRobcD$9M}a8Wl>k4JcjLheG@<@@L0r|=x6fwXnN~}d|0!BnsQo9bKqhh zmySz?9k%vEmu00g2d-T24BxjS3lfd^O8%ibGINbMSQ4HDOIH%GaHO}_lT2PdVk{x> z!>xXY248zBNP3QSS{^Nf$}auV{(U~s&_t#cM~&VAMjuj#KFoq$9u? z*?WxAeF(feQF!NWnQJbQCnv3?r&Y$14L&&s)Hhfwh<)`Xc46ceRSvvqRNYq^7YY+y z2|8(ZD2Iias)VU3oY?0$&i;I(Qp;|T46kFflx^So5%ub35+|}5s00FWA3QizbBXU8 z$Yl{k`wR8idSC09ra-%z zc!T3D6ZL2RG}Qk!)hMnW%K=`0Npw~9cTv8M?eo~zq^3b|W{N3$%Q+ud4`iD}#h^aotEtT= zBoN*#`42CQlo0%+Q!o{0otp@f;Tua;6sfRs<@7_Df0=;e#*ywgMRDY3^)2{+s=OJbW$JkG&P?*V|@7Mo%Ru;W4>N+a8i!7}_z7C482}g!N0GI|(Mifsc3H zZ$zN}h9lF%bY=MjF5`T4YO33mc`gG;SpH@`-)W5f+~2#p@H7+6hew9Fgr$Mew*b1m z=>C9lsheEyUOb#++OeRnnnUn4H`mXAB+*>>wDs&NEt=PDFFN?Z6P;6Veu_5zUTV2{ z8k5>J)fF}o0gK(D)finIg!y&IAMc7La2V%9Tpv8A4bpldrbqA~&T|5xlYeIse`W0@ zSCZB@C-@iVMVx0lshU+j#+JaVx$et%PuUQ7p3`8-UuK^J^P^%d3_sAlEnA!}qYIit z-{xf;k3+~Mx;ooq2>!-#U-PeKd*j^%;GzBzaPd(t@LEW{)2lXswADB1yU=^(T>T(j z9P%IWzeCj@P|rv3PHS$n6IFy2NWFGDoV$p8;2$dNq8IjtCWnm*#}G7!K;By@ke5N| zB0&wAnuBa*K$*+IJ5P!747PRA81t)Q-4HZSwyg(nedV`iZ}_gIgy1(^HyHN$xodrJ z!f<`C@05Syv^vUTnbqt&%@_bTF9tQ=(GG^5p6-o{3+m7#{-^)O(Li{(Sw#7I#uGZ_ zFCSu#^23bAQr{Y+rvVqk_1Rm<2dg37bFb~~7$}VQ`Rq>;1$WNcSjQf4!jcrfCUk6= zz@`~pyYCru&>fO}`ZgZ*H-+ekjt`)7lcr7ewFEOLy?I)F&z2XkZ8CY>srH3tu?CYP z=PY0&P2lZ|W`Y(F?TJO?ro&0^!GHmVqVY8?8AICoU%*0`Ay=^qvBz|M>U! zW!_GYd>aNjQBM_RA|ha*EdE13>Nn$6Co}fZFos?kb}9OFM`)ye{Y~c>D{%G1N3b}c zd!qch`7-pKUrS^?I3Z{SnmTj`cKFAGF{yM=@@_9!t`f|b5WNA9>iHEcP6k432;=gC z4DxS{XWBWL849|_9*Jsb&P`*uyMmhpTvQ|y@?h@l>OgTyDkNq~1hQtN!coaWbv_DraEz%o z63OxaWyU*p5UPWFh;lX;X! zFWk<WB=46QFtw=r&p!9L~~k@KN$aL%bZ-MyuS{AhsE#fa9#KKK)2cN z4df5ad;Hg!Vl29MIIKR7{O1!$dtc1hNE z!;Sr8Jkj7=YCRZ){Fj?#nw~mL=YYFRs!#8D7M!G4N}#{M57!x$UOv8J5ALn&hj|%- zh>r>J$6o@RwznG>zV~EK9WAm=i|U@ zQ}ft4rf_)d_!kC}{doJ900P&S{EUTU@0LK>M`7QGNvQ-r*=pFT%~}@1(AmarKje>g;pf4l3Wh6mk%yVagVB)8|JKjRbjF`uxe`Eg+^h;i{mEG5>0iFOIq=Hc zL&v`Q3`QaT+tpeH=`76t$l`}O;JDjei8zjq_tli&dyZ*aU#l;S=UUZ#&Vc1k)@ zqWcROVN0@&eaOFx{EqxmLoiHr6xT$ICPQJe!h|zj6x1y@b;_f>ucGB+W*)DtFueYD z{f@OB=yrh{q$Ck}msEgl;?@c+SsECu@0U8Dp9=ZOpIEFbyx{Pwr-QXWatVGqX7ZyP z9>jpz>ODpQ`bfX!AM#VVvLvkkq{A0z!}=!~k^aST8Rsju zP^I%M5}B|r+rZEbUYLo)POLN&&6OU}_6@KO1{M*=*{Z2DxbdDedip~Qw5dJhqC?I zFxaanoZM0uLEtdXhqyinX*|&{!e>wLAkK58o~QHowj_bIfT!ElDqn(sabCoERyFfx z;u7S+wVcs*ll));&x2|bYIwNgQLba?v~v#f-8ip$?(iq%Bf8DYI37Q@rp)z5bFDak zuYu)@pKY z$Q^L49kI(QfbgM4$^@9ccQI2W}o69S^)sv43a31};aZLBN{% zn{~5v5VMmAGP6p9%fn5rUmdbhoyYp~7pB1{CGpyf#SGZjQMxOfG?G{sgkCLd$e97Y z4w2A`1+GWK#euSW?x)b4+Fi}%sL5ccklLwQ_dNSxW3zyAT{jW!#5)7@c3 z`NsE;s@zqGhq+ws)v>)OUo27FgB#_Zc|6ObY-x{&HWgZihl|O;dd@kG9o?_}2+q|H zXN-m9H#3a>A6?+xO_NdmE^|=*VLWl^P&^Frex8-y6NYjiyDinlQ$RR_=6#lHJWPA- z@0Kn{I^SGfRNYhu;IqwT7EWJcjZ%AG(=+1*3N|P2@Y_d1jO3zn%yJMcQdX-;3z%Sd zJ}jOihUZP-zQnkH9qx02&%@$#6L^0e{tk=Z*WtSEDV02f$V?JY%JymRIi3vX)YbPN zL4Ffg9twX5oAZY0V8>h2W--Jn$KO(L<_6M%(YX}Fw7 z#5(r<>rQza4(Wc$pFW-nBKD^vMOMb7s~7k)$Rso%{|@smoyIZ09N68qrLS-{9r%PB zPj2z$0R3rxvA0T3JNA6?t(;T82Hp|TH`LJF4_>eS`L!;ZjW)#m?@Vk>p*VUE|2-*G zy_lN;&f)tuca_;-I~6!fMv!k++svYDyiF?1Jg|Ca!HV*b#!~ay9b(|jqodj9N5VmS zmTtA<7V6*I#*g3hs^A zfo9~(6awwXZln5WX>YN!je>78Qh{81Vu5cyleq->a-SGl;z4 zJw65UPxZ$Lc6vihWl67uBkGSYv-H@D5URl9?mdox0u1m5${dLBt08W1T z+B%w&LEzI>UUZp ze@{R0GtT4Tkk9d)waO|`N?DHz_dtHDzJufWmE4CooCD< z`03m8>t(_^HrU)EeZn$2e+@hl`}hapcx#BsuAN-L1PXwV<1*V6+ZX6--oLjc{ee&K6P_&X!@3KU` zHbS!(bSyjxUdHh_$Y6uU4c%+u{Eg#&y_xq%8WNN<>lcz6zB3&H?_>vJ4~-!X0u@@$ zL<7&}S+CODp)efDpJ^f)q~+T?^?*5Ktuf%eWK=hqx1NwTB>I<<6^-CC^cgXyj(2qZ`r( z+~@kA%Y?zmm^_pye+RMDI6}C{PfdD{l`YSw1u6?p2?+CtALtOLoIWQsg!T9tz zdXJQ?cq{3W0puA`|CFpEiS=#>Q$kIw6X5HSJi8)pig>tluP~djKM96agC%}mMt<7@ z+1AEu(V+ZEDw%RW@&PgDn>vGZPfvd2gm5S?cB#_W=WtgtELs10(Tnmd6Uui{cXy_M zqCvquN8|(3I5{lRUlEIP>>jBVUd@J&eA?NfL#V&#^sBYMhNxe7dH1^-`DD1u9qsV} z&8g9GE`=_tL_mhP=GFT~NMDLvy}gBe@d^viA2^84LzzE{UZ4Ah{1~2y?Bzp#74$!U ztM64teV5}AQv(B$VCLmXd*(qj$di&i5jhzRf6DvcluDsKZ}B@FGwA)?m^*dXl4}$c zs&skrFC(8?pWVNnpt;HR$-Va}`$Hh9YJ50b5#=Ks+Q}<7P_eZu|d9gg@WAt}gUOz)EYj5X<;=I8M5&HSk6VvEJy) z{$Beu2&^+yRJ$1yV2Zh}Zt!LpI1Z%ksuY*Tgk-FZ7xhw4=YSf=Q_E|%~^rAVC zsl3ducJU?Z)$bXLkVb$V;p^h_?AK=!)MuL2!>C!yY+w>@)nZJ6~ zq7c3Nx>x#Wp?hSdmh*E4y_sMZrm}Q(+!-tbD!=n6pgGWO98A(o?KhxsCGf6&)yX9T z-J9V1VAzV~IR8pIm~mX9mg6iV_7yq!X%-?qOSb>0Cd=_)IK_KJR)Zr1lzwpDn^y}V z_BoET3EVVfZHw_>U9-F9REsB3uXo&=n7b)>z-N%ji(>-$PHul+naRBk&!VHiD*3Ts z|FADn7kHh})atN_oBI;DJ~MEfY@cWeD5L}(L58fa-AD`Ph~G?qDOO5|3rIy*Lvd!9>DPi$J?G9I;m>W0Oae} zAh=?c2u*;kKSKQtWj>wt_p6;jY3I~sGB>nu0%??c&PPMA_gcm{Q58%-nbuH#MEpy?sEeFoJS6Ht{p*(h-xR~rJ)Ih2hnDXB7`bn-k$gKQEg7d#}fcL^nU8OLMCocKsLbWX?l z8^`^QON=I^AEIGQ>AP7m@>y9pJU079S{q&*p!=tTa)ziRJ0pqHG(0;pIK4neH?ryJ8Sgg5jtOg z&ho#E_KmF2!Qu#|Wbk15_RV%K6+T)%u6MYQ4%eA4kN!jV=QB6XT$GSYf$y;jWNaw6 z)7od9Sp&WMzpF^0m9L9~pFNhAQ|KK2)9D!LTUoFF`1f7p8$Fs|qjyK0r(YlHWdpfz zG3h;x9B^YPcaOs~;Pl%$4R^U9NI$({f3w;Hli(c_TKbX$iBp>@wy3X~Q)3s#a zI-A{n#-<2f*t$@ZD4{+M&MlRJUexE)R}oTfjQnX|_lMuKtAN5Z-rU#Je30%kswIf%g7LRtAa!pzajXKDT@m=x)REdU+AtOdzjR`dN(b@kR|7byJ9yX>t6# zI_j6l*K1GjGTx@lfTqupw0E+zLBoxcBrQAv%y+5ZZ@QZX51Fpn&Gcl!H;E3nn%9Bw zv5S5E7Nr2D@TI--5&C;B(KAVg-YbR^`FHCT(YufGj*sPP`nk|EIC$g*ny=u?I_EWl z{4@Q?6$5naP+zNl;_(x8h0xe@>rWoK&u{!t_F2m`8G7^m54}V_Q>*F{&7G(ZLooA~ zcnNhrR7ACrZ-f=VuJIrDNk&WH;jX9xQ%dSJuc4b3za)Q|(jU;gOp_CUuxTa}9_at{S z3miUC*-+@G0EgwHmv$M};IJtbJdgMuUmx&^yOan#PTX_MI4~yrB;dv9dFEQ?4x3=wbg3rU^a}#)f9sUlB-`C-~ zZWrln@X0mgH+)p3p8HA+Bv@B5ZAKz}zP+kCxN==a^V(WWCULhK1VH!3GOhmVHA3HY zRE4xeVNNO#m(3~6oeJ2H}>KogWq49d4{4n}`ye{xMd9sh=1^s*|f$R2cyDw$Z-v)^W z3&sfMQUae|59Iq@2rq@XtAwZT1Q9miy$UI;hwp9J_lspdz{i_+=rz% z=e>Tt=7L4)&j!CnITKE`0jYJ~mB71SoLa}g8(Wd3T<>~QOziLbzrqSIqe5^$8Sw8a zZw@faZ#{FA%_4XJ#~U1Psp)Uov>u6v>$KW0`afhq1EmBm<9y|CblkoEa6S~J>6J;DaAS=_VFdr!aW*61;QdEDT&3W%e z(cCr8Pi)qvBM||*SWm~2PiI{cq=mB9d0b8go6mn2%-LsTSuUXmaD7Gd-Qd?}*$RT+ zaNY1P*y-9gEl&*B2iFo;`9(Y3fbD2l!9yz>=&zbct9xt%77Psu@4754TsXbeNpgyr{Vd!2d)rZS)5zX?hafxsyk&T9l<%~tNw_m1?=nbr#?Is4ELX; zF)U0WzdP!HLn22!(f$4_XJb|eV*OU}fnU1X0r0iKTWgo|xCa!SwCwTe@dl?CR)_W_ zSVD{GzKNrw_E5?^x~v4A;M7*uGk}RAAKy2xsO;G=_sF*92nRn{=QRq7u?hl?7+Pjy z!2rnm$>KRK>j(A611>o``+@?8n5fW71nkW^SFhL_4P6OO+@?lCpcaO+BUgf<_f_AH zpXJxVI=aWsA?iAOzBk$*N@)n<0{Sy_W&u#k7otrv&ob}oneq89dnaJV|qs6Z)FQ&T# z$)sS*EV|cdvuA!pc`gXPRkb`4!t5c3>2sEuo)_%w%j(&m;{f+7?B_;Lpx<$1%3sby zJ_p*QZe9$=aJ|ZtwTtIEB)4IWH zheF-KO|bYB*+?LqdZ4D5G3Et^M;b3rH5)5At89;VI0Q_; zVm%^*^0W%>hPvCh5c!!&x(5g=m-a;@CJHXG!IsPK7y?>7R_~hJt)yKb{yN=qrHmt7=!l`Fx)#=sqwRH$&(B#i*jX(Mk`XhzN82 z>Ff-y%@pUj{(8gj@y=gB=L{-2Qv+ovj||5TLC?Y9T01*Pw3>?uq(lDX`%M_tY<^vg z*>h1yxKUKEnKfzV%#O4MT8vU;N{$@ZvwSVYoxCOD#ah%nhlg^Gc zGl8>Ky>|~Z>Js((tnN>~DHjd6b${RXCCinDG7`)qK za5MLdJxq_3vemBH!TnK|Ln<{M7+yb`s~_&RmjZ~Tjmdaiu!5yaOKagwkzgfFcl;G6 z3l<~bF-vka2sX}$Q|x?di{0vL8uQhc2XSQ~MdKtZnAv=r8?`41%^8d`eEUL*l^-8H zl57+X3ETS{36c5CN`HvkP+xwD^t=6-kkKWtYXlGAc!T3@R>$(Yp-yA$^=TQd5`#e0 z3ily(9rFj3j`3%8?2fRtjrFrpyFtS0X~7;OQlJ`Eh599BnWd-_vW&ITj2Zcb=SCLjI^&X4&z_wNV5=?LYU8_8H1e zKYL2Bk!3Cn>X$?6>QaIT+@RCBny}Jk2d53*i(BL|E`MIbExE34j*xBmL<{EPD<&a*K`bz>t) zqT#$C#h56gGlA#DA&Spl_j-bxish~=x4ht?26tYsf*--lI3C|R^-WgZ-iP3C9QT1@ zSvk+&7OpF0QW)G1f{4oA+q*yNVmrN)s8rD07889y`RYx?%j*|T?aMt*@XlR<3}cf) zZLH>Af4j+(P$>G@I(T(P2p;aT3Ouf43zlT)M2BxI}+hoFQ?^dK?tFX zeuXK{i?Lf1dH~l~DpdSBw$#xCzu~%}^%q01+YT*47yL|EpSiXW3jOxi{{K~9 z&w1m-`P*HnZ@917gMG#yOw?~HP}c@S++$}g=PzCmW_~J6Y$yP@6wj=VJNtp5(xF?W zC(w7GR;=&X@`oW8hqx{@UvY0iN=f0p)qni^TxEtGk%cq`EH9;o*DV< z&D}{|i!cF?J0ZSI4_x4*j*|awK7K6mUb)%vt7xu$w)Ob(J(MTmyd<+l=Lli-dWTJ& zqJep>+Uf_N4_x}rZsY#a3r<%vtsGwqg4f?~N@RLw0Ovl5;UNh}IK$?q^|&P(oPQ-V zx${__I)4mX5p&mliW56(LST~0w@DfuozO(`78sLJ15%eR1(d$ZQ} zXcVw77CY3oSYqIqfJ#2sTq3lYzeo&}i-WmOf9tGKKi4Y?$J#w-QC^7E)Ah?}&U8;x zAcr4%m;GCO(q(^M0+c8J+A)Lt{m$6O8pR-AKe1b{#`ur8*IM5;% zQtSSFX`_#W1C!RYl8wpm;8)yj_VgGaPu0@(`yK*8x|T0y%YtA;G3r>BVK9_`ZoW`F z90WDqAvYx_LV&S<$n!VKo1N)?SM_Q-1Qgmm=G2ZvLhzDvLml!P{|kHMM}GzackGq2 zH6iqOc8XiA*CRjI!rUvy7o1?d^1%mIGvrHt(xqpz#vKxZsc6lwg}|rsh@*JJ%@zCW(mGO`n zsTW{W3fugZdNjeIVQByd(S`@^6ZJeN57$kl0tscb*sZ2PMNH z0qsLqBm9A*|7r_+ge&Mj&32F5@*(y)jkn$Hegsydd(ZxP(q8){ z0-x?{otkwhOb7AUWj!U-A1{@`##gGC26vThy9IA}LxJ_zZ`e{G)^xS>o$-X#}VKu?+342)^_+_4VHiBMu(T8 zD3DG+*-WCj0m*_I%ZI~q;ZEJ|z1l}LFtNMI>Pf#)zr*&qg{Mrq@zr=N^ly+@e@6Wg zJ#ojv9zF;lcmT&69B(;}%V7$UW?*b0eC4lH6uj+HN>3!J2`X1$WX&O|rQl3Nq&fB6>}lX<))ZbC5~S z1P-eD7k}|U=c~NORquoCfWzVGN=-@%fy+2w9sPGbNZc9awagi37Ln^<{SDEvj{;H7 zt_@3H#*Rq1KIFLfrXTW4yYs?m#X1!AaqOtps!JyL`b(VKSvNFCvUo|;o?6EjzU=;~ zI_#BB@KbS%(Q9RHXCV6>s8mbl1^s!fF6Z-uz+l%}8E1F^fx|c-;`%_$D(sMxggwE7 zIL}2Fv!x3AM1#>nO7vwOdxC#)Uc`CU{qgB{x~v&6kgSraZ{bAXdE&UXn0ag*$S6eY zc&Qfw&7^~w8~n&ef18(aJl-=oReS7j2*KYt?qAQXJwkUX5axZ2Sp`}W;a`(z#8jmQ zw!_oiM;7&qO}n|ve)C8DFa~m8IX6!dyhB#lvV&I~U{eSi2fA!se_1%B<-GBAnfA!t}o#{Rv=p#p%;pXc)Y7auJt!5(l=Pdj-Crev6C{kNpG2 z64=5^DYhWg|1`V5P44sk9H5#}FZ#`y0Y}as69?Qul$Y+aMZkz| z#Amg!C~)+>6nm0468UURN_LTlLK?gh zp=lblPDD1*qI|4CjSY^qMAS#f)x|^=5(B^UXF@uvqoIyF553e_p3hK-2f{aJgu`fl)H)(slbFB6Daf2}UCT3~A zLWXi6yH>2v$wxuUn%EUZHUSXvoqFYn=0cO{Bwa<34{@xKug1x%IUw>X!s3N)0=Pd6 zdJ!F%3Mcu?Z`8dj06ZTS&k@7(CU9S3+`kU@Il<>)@wo}SzYc$g#qaCzb#4Cq)Ygq0 z2v4dQ9}}O*OGqY(UweV>K?D4XE<4=|A@-;4d}cbIQ5;Yz z=zjH7O@{8N-Xgv?g;4S@px!4b54}IDPRzy>!ofGm9T)EG!QdfAqOoNIt>SSMw$_0} zz0SHYz95aYBL3cqvvFf5S#p4}XXvTALN-_>Ro~#U6vkYYDaslAkx%|3S=UgRbm+2X z+Gi~u2MrZvultWDfr8y>|9&(ljhZqqm2zq8#CMk#?g;r6B0#bzs)a z3o7igQliL$(fNEhrnWx=l;3ev9_UPiazmMqGCpY#p84ic15G@P_pvg4>x)M|l4sqf zOyi-~Y(Gub@f=u<(45sm{uOjp>-7CC$pjAS?dW+?Ywt+l-S4V?&R8onFSor9`k2Ds z{n5?>rL(fOP8Q|FzA|zVE^)e&4FSf1N{QW}pj7;{1pI`@SvWE$K^h(GaE&fR3_(Y=e>a1Hx0r34}E10H3b7mACe~k+ZQNQsk z(LMHIuqD^lrYs!={S|e)6TcY{^;608#&gcn4Q}jsVtQOF9Bg=MPc!OCR^M zmdgcvf8RMlmf|>w`o?Q^^=o0s|E}Sr!AchL$K2)t9B**EjaBugXdUo}Ukr^eOB|A+ z`SPFq#%kJ~)lTuY%T*@5O3 z*&mTFz2pX}>2?uw$QFe%FEK3OW-ojSC+rt z4<_x(ME*hy6gqkeSb0k~%~$E>SlD#@G)9>jUh&9?81dRGdF`zo2-mUkfd7w1KsXA@QhB=y#c z;JcQ>y>B^A1fFwMpP(pD%LMsba;|HN$zb$$^4ldobWgd>%Qzml1y1HvpNk>*8^?Wy zyMd!G(vUA+{&=E0@&oJMIhU>RUKsKueqSFtjBc$axD%ye^_+E7Bw6mkDGa8uJiReaPoms@_$mX|Hp4-8M;`ue9Oeo$JP7~k@577YN%Bv|*wue$NafGy zV5229;+DLYSYS!$oky3(-CVGc0)t$YO*d?VdHSC50WVBq{>SqfavMyaHkIpjj|;~7cmz<@@ zu@DsNWz?E!3afsQMr z_Bwb)Kh+*Sqy~Q(xT838RG_aqeZq$GJcN8Txl=M?3f>zdEK31)*uTeIat)8{vDuQr z>eBmGSVhS9$PghZ?1XD$KfR77R`K3<*i7#-*4w)`arcW)9VP;LolkrI6!5tAP6mDU7xvWnIUP7{o2;DM=)*k#!HeCi7;wIvL#d@8-(?Z}r$lIAf=b!bNiq>0ys)y}liZvIcy8%ieRrde{d1t+NUS z6;0vI)`F!q>f;$(l~>S-vjgEVSJvZgrtnU}LN3FN6{52@_DIVrU=NZ^?be43;pcqs z`NMf8kS9{W(cU0{;kod5J}jOihUZP-zQnkH9qx02&r9Nc^?3gk{tk<;xUQSL;+E=w z`piDWFaKaRM)LyO|Mj)zs0`A(K{LAw?WN-Ln8Mc2wa4Z<#QvO%JXmp`(hJBM4LMix z)UeRUV@;CTve;Y6$L`d-uEB0EmAZ403YdV~F%sG-R;-U(Ey--o03`0wJ$YTDMbzu( z>YMvc@3kiW-hfym`lqOmiQkL;LeXmzY+=Hkf;Zh4BHSDTs_*lq0Yt1>&-fPckh248iKkstE2dU&qEK7fPLM<7}`d4<@z&l7by3?(J8l@L6 z3w|&p@WXT6<8wcQKML3V>%2;S6ndFTWr{Q{QDm_1BDIk}5|o-%NwWbxb@LTvR9tWRqBA(6_x0Y*DN=zq4wl% ze)A1GhzWiu@%gC>%95(K?lL`1)H#l`_g=r%JzN@q4yim{pXs(F`n9Y6=EG%87gTZb zzE>=-58(e_Ay&p?3?o_~B_+n3t>}gDzQFs$NX7g>)IEK`asAc2N4MG+3ur93KD?yh zM&Q%X0nN$X!(PyNgyVevkTpD#{j#%n-3}GUD|kc|8lj#;%ee~PV(3xoJXh$0SfYPE z))(a4(Ws#OtrCI0#DgeTVZ&p<+6b9EwBGYcyn8D zPtcJuqN+M!2GW|st&G@w;PACqg^!w?pwh4Y_g11EF<;2~j7)*W&I;XF(-leP^#pGr zvAGhlFog2}jyE{oKJ!UgO4f}+L3Wv)C&Nu4ea4HO>Vp|#-!sHjoa6zn+@>Ck;)YTLt0$XOLyO_t9xrbe-~${X0r$RJBH*5mfDhZqGM7 zrEJp!yQ`xyC4c>qM&q-ujTdzh&QD2?_r}UR!sbzz`BdvF{2^2G_Eh$g1c4h;!_17N zN^Nl2q9xY`eIyoM_9K18f#Bf`r*Vr^7d<$a>?qhEdIU7scRjBA8U)$OUB(i%zTjPX zaJHse7mhxB&r@{W6JBjTXp?_0K;SaYS1R?7S*zw;Au}k^M%mm6RhnkF1jsr;ZOPaC zQt1GLQD*V2yHo>&Jea;pYuW?O*FICTN7#L_`Q_$A>?IU#D5ZR9V!Nv` z;QZ9|imahVGy)gE-Gc zwkaNd!=wV$BL`;^w!0Dhi}NDRvpJ7`DmOBjV)~=|p4T^T!10_`ji!Ir#ut_BklPpa zRTqtxn@&x6`2fz#I37>AU38|lu>+jHaoqQsd&LBUu4otCKF{}yPUzRtqKV-xUliN) z{Pk^nZWy27-c@Oa;l}U^C#C;=d7O7nj4QmkP3eU8`#qFA$>f06241ktt$88E)I-#J zMRbu6Me^|5d+vlTdbMrWwXDtKkREsPXkU&Up^F~IO#E4F3?%dbuCK;j|FYfC(?mGG z;ku#vd-Q;wxF6v9fHnN?Yl?miq#;iyWM$`rPF(Hc>tVp27uDI_I2w=EtRIVADhWoh zM@1JGzK~GJFu#s~Rva?=)>kQQ*=sJwLSms>TiN2-wf@joAy`>s3Aby-NZvNaZ8i-&$`)vY;}dyV>@cp65T*6OJUX{qqi z`$IHMF>h5e#z&|9s1KbCLWo<8ojyi~>4nU^Gv_19 z>>xMS&MM}m9qi11v(L`nAKl~Fe(0J>JnH;5Up*kG0b_FTE+i=yUszFAE+Mhnv} zy{ixW0AJhVOWLcg{J}Bkh922T%wLA{B_$t*8(uZSs!;6@Qg08x9BcG~7?w@y>s0D! z^fL|h@?S%gKH*2lckKk|Xwxe@WA_)f9m)4)`M4Ku7oYYdl^dcU#`9!sqrpTzES@8V z=S|?g#JGPQ?sJ0QhsEzr;PZ9(itpFqy6)vIzZw#jACBugfvQ8SikL6MYjC+Z_VQDVO9pGUY9BdClKrEOD5>G8>bzs56{6|^ceRaN?W2|m&D(4atb&h{P$jJ8&}`KYyzzndX2_(e(3pJpF+<2 z2+%Hg@WUA6t*qp02c_)%QRLT{i_ar%P($D0+w@+BP`UlS-Qs%UfRIDQO@ zh8vt{jz*7sPHi=qJ3_{x;Y1#-02I9|ri+Xx6e(x4wEW$thu8&G9&i>+wx2Tvc28)=LuM()3zCmA zemigCjJEPM0=l{!h&sn{_QbyJY!CBE=-pp;I%!1{qF?9OtS4l({1B_t$mXh6G@;v1 z^zg=}ds{)Fs|CMmR|wG;c%PVTbhBL*u>u^|1HyiO_*(7{M$!8l=tW%!e6o0L8`t+Z z8btGbtt(OuVCcQ~4Y@t`NHE*{&93${h|TXnaFp?9f+FzcmhDO(Z*V;_Jx1%{wcD+$(>Y9N_}nt3Ln45R}$+?g#&0U-Ci!Jy zXNW63`sC?a0Ne@}yQiV)3NA5OGH)mBiF-j)Lv`P;kei{lUrO1X7CsQ!{9z^{iA3-K zjyE{o=JyBD-u;_^=wP?Fc##K4d1Y>6QaXdK%hR3><_dt4ZE^J@AMGJ=r8!$?>I~Rj zo8J%i3Sd0s@Pa)^-0zpuFbv znJ!a9#5%&P;$LM0i>p5wJVpZm=WDO~4lnp#I6#S%OYJ;|FFMk?$;amF4mdv@Y1Gwt zgw5wxZPJLJ!uXwjLbF+zPX)1j_t)$S(*qobaX!TL!B?}Woen*=1P|go7b_5#EW~dC z>m`v1Z7vwE{NrDo7jd37P-P2C4?YgZIHS&_s)PfM=W$`nt~b&{5R-iEz;P=BboI8) ztB=Z&fb%kr$KBF3p|kqFfb%zw`wvvwe{ib$q5SXH>36@dLNydGbk!dOAXSI@b7hVO zFuHZ{+ru$yXngSA*dv${%T@hJ3x}vq@C?SIzOQcsRWd`6`(?```$b9USCD?vU}_w8&wQVB^BsTW z+2`2tXmXhHgDxjzl|Wt(A}N3`S+L0oO8Q{LpOR9y*{8L(WgTE9t=%`DGps z+W6>=#`vjD$sUx1cnhHt zxeKB`WdC@MJP^_BcqHJRWC7!$V@0h;cu_Np#=8&CJm8yH+30*w5F)*@;Ig8S0?_@^ZOoZ>B9QMH(nH$$XvDp>EH1Zb zORR@~6m|vKVLmtiR=WO-$fI3q2#x=Y;N>ttjHVf6$;}SvU1?C836(c0<(~_84zosk z1KZsvAGn|gL-h(ri#G3E5a!XiPk#oXyos9D-$u|?%ml*g4&ug$s9BnfqtbLovwnF!{ydq;UNI>H7i zO0DND&Um1c4ps`Mv2%avj*cH0*Zq(RW#C*Nr6<}${`JLrvM9*S1dEryWCE|jyVp}! zED=q~KD7E&33YGr&^cS#qr36RUlo0{A?muGf9S9+&~4_mPnKfX-wc8mPU=Nh+k+q}%#7^mH($W>VeuR>JZ}Q` zCC2^haGw+WJ}kcC^L6++EWTfdqnMuRF4g|MB*?R^VMyyYMC0OKq$O`lqCO*|$_EDa^!L*5b|)w zt%}N==vQq&UAJ02590T>2AEvDIxGiex--8I$pxSnhl7%x<)T6Dh>>me7tBXM*iTnm zBN!ED$(Fpn>Vh~E_!1w@nPI*xQes>jhRCMi*)N}$+5~=>>5vUD4Mt)6eKLihq6c+1 zGb41q`k;Ugen?0RMe6<+$bEm=p)0?`B9DAbY`ayY#i`4a6>O4vr82Ie2okdpdq>Ov^sIOs9k%YA(;iNL#o=*c<%5^IFl zfmy@EVJSCvWI2}On5C=)cwK$vayPwy-2=4M>W-9~dqUI_Ewj!Kcl6RG&9-vPmZ)lGJ~(DuvpKD>XdiGKZAeCamR61Kne=FN#^@^HZazkPQDxh?-1VE!1YYN5|U z5#ASgpImTulBT(?4>+z*)Ze+Rc*F~~RXbOZ?)wnJ9rJnqi=;i zDZjW}K+)QTVZVSmGCu1P-?TRn{C-##i5wU6~pj{=eFyT@}M z+_aJS1x2#Y4#xq& zhz8tzOi?>ceZwc3Fu?J=MK1B=Vf{#SDovy6%n9@2UNj?=f6>5yvCEf}3n+jq1Nw(MP1g+p{M8VY)N)P05 z-ibH2qW|jQgI>+OifWB&$E>Uy8yBUDTu08FM;D2i|zR z&|UfKOX#98W@n!8gcw2(;QGo~DJk&!qCUZIxNb-|yl`)kDG+ddki5=I|1vWMTBT;b z1WuD+cKfBb2BdfpccQyEcs?Fz!z8_%vAiwjiw8scW|P4oNT<%!#0Q#1Zu+RLW`P7< z#}Z{`2580WXK=;G!|}xg^4XOXNZr~kseLLC0;8+yo?z!JhE1m2UgnW-gG7HQMn4wv z)v^jK*5W`slJ#v{Y%JW$;UX6-CPCe39Tj(HJdC8*)%HZk!ka$k`7b;qaEm`Y-HiFP zs0KcLyFw8Fqrr2F2~_?dn$+*k;SmFhSJ)nNIAP}>|Ksxu<8KEyOki{Ke3$kubHu}$ zw-074v3yhNuD%J%OeK)^RT%5&^#<{MHVbVLj_BTVnVAR4i7-SHyK}uJ71r$gqQ@p8 z!E)Ql<|3;U_+xyhPeVTr1gd%xM<)D3;esCB z^82F+;JAl{kCHhF9z{GaYBo!S|=W(zk@MCJLH1=YzPPGb2*f2X#{c#>hukHkfW{r{X95_%}IVxZ^yLDvcq5}a{dx|nx0 z3-)qIDlC4+?!kKhs=_Rd{{h349}aueTi}Z zI^5?3U-5er_%nrPu92_i+>3?8 z!}U2|y0bxVNvN#gXA1N!Y9&r*WP`Mp7uiJ(25`O~;+pQL3U@B?a-JS>BKkGx`M^}; zb35YqHr%^#n57~GK8gF0o0MjN=glykh*W1}Gs+SBYAylZvz+PdTT6jc`FrZ$%SVHs z7Vq#L1ri92oqEI+g83)%3q6>_{5){{*qeN#@s@rnM3w*8cj`?pyg9VMXLU9dp0U$L z?7JNadGVd0TbGhxt-Ona2Rq-IACUA}6_16!ABB>VhSBi%z`Y-<>m;B#_Q%&O)CXv) z_dWnDw_%twTjuC}dWgQLytqFrh`>R??C9~uxNrjRu08fYIg9y{;dM~iBDzY2`Fg*5 z?Al@RvXH2&OU-<&=iL(FwH|+Kw3|C{|K*f_b0-*tmvxP`zC;jpj^pg5T~9A*WB>oj z>1_u*sJw`NJ!VSrP>J3in*$n>dten$%ujAQE@vw;g#b_0mA)ejVMJfxebVsI*vA(+ z6S%Jb?*6j+6Ux-Z`O`6VfO<5^-sti3H9h0HwY5ud`2f01v?f5_gy@a10Ot2Gq(0|q8{fw z=9F9#tQ{;3yP0nW6`d}tH3~Lp>U!dnb}V0|H=q6}gF_BThHY>qIk+O8W6o-8CCP+8 z<30Ci^>TW*H!LcERWYmdB-_)nheAodU>juZY(VW5H!61{(m=X-)+_Ib-OQszO3g6@gdPedhoPTj%#CbMg>y_s0NH(-M zbx;JH(?vL*-@JLl-W|&U34Cgp9)|hWv^+1~^T!s;wg1PTlW%V?q4Qb)EALX;4Y~tB={p4kW3LfBUd43PjpJpWd1c0^gBc+bL+c2;OO9c=BximyCY#Vj zd;Mn1@Sx&tR$6TRlrCDlPDHtA2HNMiIi-5ZljrZTn zkigcqV)xm;NXV!-Yc7VpuLp&n8n!Tf&~r891VvmJ)K;uMe~RUtyEy%r&6o&*TpMZg zEBanA7caCsQridKtqH8l83uu-%P%%1M~naY`QOV`pW0l+c%M`J+P#$+h-EYXy6F)M z7b?$s`0QdsC3Pc?=TjUY)-%uJgp3oikIZ0X%a4WqJ#WSy@+3l1@oKD;eiXz8Hk_Ru zPK2`!J+>C-NYEnEYv7IfxN%Z6t_|#s14~ww8?N)2;Am6v&0otJz4Y-f-8GR2=UR_X zhkd~O#jF?PK5r&K$ZgMYS6j@VE2jOYH%Ai4hT3|VV)u{#DhuE5x)e;Tu@B~MF8hiC zzKXw&9`n2s4&pkO@;W(UAY85bPaSI@h%goy9_fI#@rti0|1iA30A zj0f(%$la_5!Xa$-?V3_lDCpF9b6(Jn02k|QCtbz_xT)UTp77EK8q|ig z;3x^GAM$9Xv%A26G|L4S4ta1mUK6;G9RYU7q7c=YFc|)tbzRRd9%T1_ikJ?H1ybP4 zzg6ENz+1g1b12#Z;;E*Z6a<`!^(C1_ZLy{uq?|ikNOm9?&UQ|iWnb_BiZ!a@=ZCQS zAiK-`41*)#wqtfsVSOwlk7|nAi6w&aVX@7>dxF8?)Z@Ygt8fS(tW;7Q$8wj4)#+NE zlHglMxgA@FJ2ZbWwP&y*0d4!WZ+28kKrZ^7A+jR@juf$J8e{!{=fmPTVtC#J?n{jO z*WoLE9~QqifzQ|B`VQZ(!*w0&qTBYE(}6^N-WBdNdx_}?Cj**a8+kF%zcD;E)y`2CSdfe~1{8J%%hTYpSp9?*X{nLNWQVE#$oOwdR=CSd9Eebu!x;xyF_`Odq z{eE1&h~@dMt6zRVjpY*_e6b*B=!xhqsmumwV>t~E*<=K}F+WvqX%)`R2uSPwdC+lB zD7+AQb2zv^2&Aw4{C$ECyEpj{KfH||$gJFnhscm8WVT*d9%v%@GpP%nATP$T){N!P z=azh>?AFEdjk9U?s9qpJiFMcUA<9??^h%aAIUNAi>-Un(Jfq>);g>EGGTyLU6zdUI zo&;H)-ySuP0h0SU7*t~vNZ_FU6<`0R|1zwcr7vL=gV{qdCV183dC)Eo_m$KL6q5Y}SWz}0D;Ba>Ai{|ZgFuBU|&6hj?ZnvH&vtZM_6|I_tc3BVL>6KgF52AvxYqkmTsv+IZ^^ zT&%QZ0Vh(xXh1vM?n(@t{&VoX;Eg!YSKyBF_Q@ppDN*=-mvA5)9(F6~#7nynH{0Rr=tqQsyKaaraP?^#v zGBIGXw`Q= zt6Mvsu>j74IL`?NeLZ(eGZMzXWUOHJxdi{>yomFx4mpijJar~SY~ygto|Hj2o?oPK z*ZKW733zU$9b&GIfvItw{&fR;f|qeTrfS*AIK|~l@HdY8qN(y7n!lo8QtG*%d2SN0 z|FOJ9x$X!mA8l?c@PxyT_5F)mcD``?%l3QB7dQys$vtytlzN8^ls?XW%Uh8SWN7WW zdZjPKbNp>y$Mzvp1{n-yI1>q7bVW>G?@a*aqc~_CfWD;?x`@Q89@%gpp3nohzLGWW zVWMHnB=`;24ZRkTUt;;(5Uvl7IL*CU`)!WKKN?L>UJFE;N4Rgkbq~jU51WK4)KXA^ z-~Aj)_b9|OXisq|JrR-RtA5UtNJL+>)b}Z72O?G967vBjPsB8?*4J3?fud;dQa`iB zB6ywT#vJy?p+epHN7`0C$b{3}HX6H+`(wKAF7M$m)Go;O%Dp-S*>Etg7rcu_TO3)O zRE(j>WyNQ}mo^-2^iO0)DU#5*^aOjlp&#;is_^D}fj{Ek{_45V#$L48S(Yu^V+M96 zjvc2i+n^0OwY`bIMd5#azW+#T-k-Pr$gZumw!zv9UAe#AxUnzIvlban1 zrt>Ojb<3aS;&orRllo{`KQI)D8CGfElO!Qa1@lMm>SEDpI=+R<+)#AFq;4TcBNhb; zH2FC4Bq3e0(x)jsu}Ew8Y71wf8#1kF)-61h2*np|4)Zm|AcKf{F4^1!H0`3YeO)6N z72Q_N{Hhd;D0^)Mym!Q)r%TheRVQPSS=t^3#TI8`t?&CD5LFZi_)621T|UCDgUC$O zJ$vMhQI0m>g_WgJN>_OG*k8_Izdii8e%Vg0$PR>TQdd-R zl;BV^<@~;UKhSd={-oCzih`;2m__e~qqlxCK9?T(qp9g@G^0H_h_y#zcfXcBa^UEA zf5`q6y7f!QAwS0g-N?VDTHACE+G_b%olZC)KUb#3UKW4UJr=omT`3wl7~5q3@W$@{ zIG+4$lN55=7t0Fb{j-JaO7C*dwrz*TKb^QYg?4SY!NE* z!wSsa3wDd_!SX|He(>l%a1K}#L_Pc4u=!gPY7G~g6x4o(E@bq30P?u-V9!nQVC1@) zKjj!G{?79_LF z172O9Z5fcZLIJ^1BBojn2#%y|PQQ{ywzYgKJ?gHY9NzSyXUz~*aODKt@Ull7b7?zs zbV9*{LsEAT^M{rsGY$!{!F&U#2Ceht4B%P@E9Goa90Ua2xziPDhwyw@JVy-Ao4|du z@fG*s!S8G1_j+)BhtCP%`^ors2VS4=s$*_@pd@gALQm;+(GGp;eJU_UPQZ_pDJvAMQN*{n2TJWCy!QYd&p*wt)BR_PJ2LJ!Wpi@BI?DwqJ|v z3>ed**RIQ<=uhMBaxZKj=%Q1VBnBIo+51Q1l+Di@vgv;6F0|tgO`oami}y=3FB| zo9K^Ee=bG=j)S+1JA*v!QwhBD+z(+EM?4T-2N&#S8IHvTAf;l}9aM#D@_1dnKh4fl zb=ea($i7Oe-|_|;JsFNqR^I3u(`VKG6COmJ<2cLnMf$ZAZ6ew%n0`#7WKHy|L6zxJ zpl~4a{^7*jXN~!J|GSU>?v0MqaHuh;@E2WqH5f_s1>PsHd~D*1nKj_JE`4%H@XbR{ zFuAUfU(Ml9;8PwGtzK|^G}KoMal4*Uf^CkCd?87`=mFg}Yq5G={zuC>|*+4?sN ztZ&aD`p1dck3ucV1#NqOR2b~s(D)?@Uo2e=O>POiXy<)R7pa+Ugr3M)Dud+Pl`Sus7F=zIm4XDQ^`EA;9SY>jQ9@< zaCkrW0M?O_Q!$eX1P|bNgX1k3(|Gxz*i1;Tcb;Xu{EZkCVn) z^S(&`{H*f)B@<`~dKxvl8jpnZ9)G+Q?SOE8;?#A!y|Mi)bhnVd3~3|5Pco`wlD+2; zjvEhlY|H0mF+x@TDq`W%A;{SLOEZ6FAi=}M=8r>%WDOzj$$`~FGpl#TeHY~Q5|Utq z;>%f6y>KXRuKh$6Cy1t0w&^B1VmUt9wwE;@D-*bk^A&ZF!SN=>Aei#+BqhuQqt|Dx zhX!(j;ZxC!_OByxNav=Yp1zeWyO?zhw_NKb`#&+}b~w0(4P|!*At+(LM2M>AnObbn|q7wB@QQ;5dx)A+8TX zS(3ExlsFJPi1VDZAfHRgygqo;eARQ<8AR|e&WkwD@@8>v>Gv3+(Q|6=hhIhkj^~m6 zC8DjoF-Xl$tFPsqE$a9dN=EZH8gO35@%Vt^e1dhqFW~%*<9^8fgQxwm^H>!b%`z)* zcVzlN+%`gFtk? zn=jYpX&|!Z93R+QVTYdftLUAXiY0UrnXVS&aGNfC4mia}GviO_q8)A#66bcr6M6vG zSKW)nO34Ro2!6wL1J$D7p-_V`!1cjS&(1tWnm|ZrO?)jBsSa&NF9NrzJZxNw_C9(u z9379_OI~>HB;vs0!W7@SqUIpRf<0Ub$i8w;#hE4&nw^@aD>2+#%KM>h&*Kk2HXTN* zW-P()$!g#s!)PQGGH$3nZGa-`_%83h>xO7$Z~?|4er>%|N4BP`KQzpj~pQ7&CkPQeBMw$W;-wb-Vp3RF3bm~+k$$N zb?JPZ8SutcZvHWLg4<(HeO4E&;I-o1+1dd$*zutiJ1xTQ$9os6Y}$Fk2mYGpSBD(X z0sFVd$T9=azQMW6%@r2Na{qK@J$BxW^Jc-s>*s3>=YXpqfHN`J1X*dAd74dlAupek z*)x=pp!bZ+VDzjFQ1kyD)#=3guFg-FpV^sMvxEl7?_7%pe3g1}cJ3FJztGI5va&Nf z9IUv5^Z#J;a>q35>WmERATeFV>cH_(*qw50wR6xCF;ZUUQS+1mVX> zYj8B|icisR{T2;-Z?PTUkPHXM?&sn$w(;PGe7_t-wZqebisERT_U_t8Jmm_J;4 zBgb+Zwy&d5a7K4S(h&Vlc25=2Ge%+oNs1SyHPHu6c5>#T7%;C@llAF{0QrYsrHo>* z^D;SC>a?Ku6OK^|FR zuxhS1z{##t#c^?9K^t?UGtC60c8w2SrNHLxz#@6N*dDm+8fg>_6wvUF&4FdEvq;Nz z-<2~nm`~Zi)yVw1*Mapo2w&4%9Xy-@VxRiF6KG?BjYV+pMe`tN=esl=Re`HBp9P>R2ccmL*@W39@cBCY92VcN!|O9;&{)@TC>M0F;Y;#2{vhG9-pibZea|Xy{}}l< z8xlVCAbP1J__of&`~If@4BIc7#gbfsE42YQdIO1mRT$jcSRQ4C@ZUT7#X)qvIT`L< z)$#qq=L;F%RCXS-je;Yo5)3APGT{>wle?m}8^rOsdYQiUfXhd(eoOU@hRh?uk5V6E zc)WB|{uh?#g5$@FBaG@#S*_5jMgqIHWFEA2yZ^EYbwi(JGToJ{WkNe*)V>toq zvuN``D3l#&H!g~b1@{5J%6Hhg88iRMQ_Ej%V9ub_WUD_Fs#YFqJ_(2hy|pSj11wkO zw0#dbU0N34ILNsCiZm*nfN;FKf3TA2?^SFr;$I#3E8fn0W)=vxe>fi(FXj_H+F=NIzc!F) zoc=EQA)4*%@%DPi$6L)Oc1wmjBy^O%^{^sC5=;mwvSW!I@K)Gxs&EZE zcTSvMkj8R|I^CWfbfgW1LuHU}>+Jwf_$uw1V|)G@@BUr1B%vgpb+6C|@Y^Kz-Q3BkjR{#;uTMsbj(+_IQ7K62w zjz-31EcfY#UVI5Qhp??Z*1O_#1ccoT8F`YPO5ifiSCM39stL5&(0+N)XV)s`cV;AS zc>z0b@0LA2rD3j$PG|0ZXsQtl%sZ;j{60_Y2Kqa~l8niJR5x?(msRxFZt&E8&qj^6~g;)Qah*cWYniWAnlY9LD(&*9X^j z=Qfa1Jpt!IoaZ*2(dS<~;^6*de677{B*DKpFXB9FF2L5VIfdn!G>5U(DaHYg=S=je z`g)(Sa~6Hg9qjReFp_!4_S)_=f|qeT&alzd8}EoG_#4OlTqehQJ~1XZoo(d&NSOo$ zwC8uPbO)g|Blh`}o!I`WM@K<7MK~nwt1hIp;w5-z+jRS+`9U8fJQZYKlt%)=!H3$d z!!Ahj?yPKbxFx(1sux^V;3IU=W?_&t1z#R)eX?l1%^ySPB0hEcAGh1h2t9!7tG(|> zW)@k}34X(M!_6DnRLg|{gf4J9*XikXKN%d8ga$kQBtv|qWQ=uJ2HfkcTsqZ|2Bj3X zoadymd}ym{POO;kE2o_SvwpijRPuX!*t3?vHRbJO26~0ir6pkPK!fEjGtftiHsu1# zscG||M_3+K^b@JDBOy@uGL*x~Ego+5U+{`ZrVt%RWI#G2Med_s*b2_`rzH44uv#52ALUIAQTzJuU~uu=nGOgyY&3Q ztv~EpJEt!a*?)3k@mLN#2w&W{q?!*ksfrphgQaS zLDFn@$N%}^@(4<>e)laW_CsFpHmKTuAs@PDLr!>NxMp-w^lQqWd{CdPF+1p80$Z;w zlm^ubKqji%ZkKEkthA>l`ZgpIYs+Q&t%7Lm`|;lzOygVQj-4CuvTR;t>&XC(g|CgH zeX+1WQn))OkP5$lR4yxiPlsipkADk|1Hr&Qj>(By3>{r%$lLxk6H=tj>J5(;fHqUQ z_)haI7(DH58fcOQAs+|qZrUZl)Vx4FWoSOIDhJ37#}t8!`G=i*b8~?0_OXvrS5n~j zUe%dwOt(o5`M8K-`GiU@ABeP^iv^j@_NUg@vZ43J(jG9(1zp$2N6#k~z=ZnR3od~u)5e@Cu%?f1hSYDdo_PI+}{Q(4$gFI)9KrT>S zaeq!K_#4Kn(_e~*t99i8pKWs>#5Ig%e_kd`mnSg4C`bU1qSeD9jDW;m(Z&`YOsoul zKOVFb34jeIiWeT3Z%77vAVoe!1eBjjPu8cgM<(?r_#3XKL6l{DmfYc7n53BUI+jxa zHMBi7{rOm~s`G)LrA4VQkk2+QXj2Tku6?(lIGP3GRU9EkF_Dm5Xd_FF`Pn{meq_7B zUI0`rnfr@Za^VHbwc+XGDGpT431U_GfpTpw&b-1n@o4mH~VJ9{x=VE4(ajOK{PrVS?_>%`*55no^V@sfv zj_%Elz}>+5Igi0*QWQ6rW4@@x_<;y$c+B&XhgOgXuY)0W$dlIA3H# z@p2*nk)%9WhUjvk_>M58&nD&roe*g3^a-oy6o$^^r-`6j_Q~K%djhC!Z8sN#MY1K18E51}wB}M+(&xhvS}AN1VHZ!}V2NQB zbI!Rq0`KOQceODEeLW*RZ~W;<{Xg&D%Q+bv>1Y+i~lyW z2qFOo|H!Sl4ThG;5tJe|KG)T<*?3?xx0I*kie(xA~pH# zH}l})(^S2MlSz={OTnbfS_++QBt_PEep%9 z|HlJ3-r#ualiODPcq9?nJa@%g2PMJ!=xfCcZ!8Zug3f}8)eKnPiO=d~V{?`ak|AvzGtjw}D+XFJ2aW9+i-11uJGl*8Hq^HC zeq@o(2Ft9pijAalf}eWXsRvC<5s^=tvmENhro@;xA${z_C>)?(ua@N zD5Jr&;IcMjY$n0O4-ed&>rP37beTl4!;}or>AkJib~6*+Qn5LcH#nhBEdA%S{gZ)D zCO~$wQyl_x`A2`~V}8s3a2e;TXo|~X&qgz#c=tf{*jpLM^}N5z_$eLKdTk*@fQ*NWG0_U z(^Bb=qI6yyV62FT)>)|(ODqTXYgAutylpIj!#E$}`e4TV%cXitIly@k=Q)GDE$-Sb z>EQWvGoeO<9`pP9fBcK{BF?j~$9cAMG?xL(i{RJ3(=rIh^PM({N|_mjaKL;wYa4Y2 zREyj1Z@}h8abCvpcwFE!$=WZ5;BOrFEx(u;WO1j$im#sQD#pLcqhBY=Coo^DooBix z4yHgpui5U>yU}2<(MDFm&Q0*n0ky8>r#wFJ=A=&7SFKW*+INDiV>Sfr(sZv-VBh&F z32*qtbn^&Zw5*{hEnr&-hZdQ)C@>twby1yujkICEonvJLzu~&! zM9UMWfhm84>w{hKbzzF0n7=-K=k9%Eg&=DuyvHBIOa9X%YPGt>@O^frXIP>X!^4*= zuUso2m^3Z+3Y*WP@gMCU%4>ujYEL>Vr0ZcuTH>a}Ryq7}`_63oxEkpELY_SP8xOM| zHgW{7C&Ci{o*jCBbAV$)H0Ql*KI|QR>Nv4g1W&p{%N(=wAoQ!&87IC%cqPqjZWLGu zWZm~SQXTT3k*Pn*7h9R9uf{TC{kDC#oMc5(D%|seyPnv0J9gD%*WJEcC@5TO7&Qv} zpPxUbvnOx4qy+XHR3mNG7eh(Rc>T-FQs`xj?yLw`g45TuLW~V#Ai3dpY=25PntiBs zsA;kic9Xh`e(bFUq2oUShN+5RU3R07TcQ?j)gBbidr=CJ$DJr&rIcaw98JP+C@P`u zob*-do)*B*xfbjTWLZON;gL6k(xOxyh@PjTx>`{SY&$LngnezqbejG2&mDD8;G}AM z<#s*Tue*KfxRp<=3GY@)2j2JqzAF5kQhaiu5bSIk4rFeXLfcJ!(Z=O$ko~ydOlqQiYoS@|vf0b(2B@8hr5_rvgrV=}Zz#wW!`o-(blO<%1zl!S zhQ)Xxw1<5-u34W6XHy6A5q~B8tjtNa?ytt~%ZPuR&#i;G1H}o)kC%Z}VWlyBNiICh zk!jvdp9^kTDz^Gh@`0J%O=ka(0^rDYFdo4^94XHy%hz+3!=>3~`%7FoFqs^iGrd&^ zSF+Zc@(V{WztdEnE952&rSRc1e*^u!YG6nhe|~za4o*b3di!PN zgWk}h``dsLFgvpC?4h_uQ0EQzXj3hNlJePY54$sAX)!AAa(^YrN2=Hra@NBchDlu! zRE_0-xQxVbmViUA$+hW-Qg8}#4=cUg4GV>(Qh^j~A&;s1W`6t5rm20i0<=k+mPdi1rt zS|C3crq)>|-LSuv{VL|XIPtqgDq zl}yffl||G!j1U^0P(3Ji@UkiJ7uwt{@RuZ<%v-6Y&AaRZinS6 zJhsp@%W8&+QQf-bGa_i2e$xBZo-)`b9O-`XrX4Wy9-<+W3qn&xa_2{G`oZ2_rGuVB z&Co^HOZTfa3?(0#x*^S3L)7KUDW!(C4tR5ugD?*NPSAy@m2`X~6G6+bz5c%VK z3&Bq}cvynt*YcqE%B~Tc*M%^3{nr!r#VP_fWXiV%hhzIxe&1+sMiWw~q44`cK4leHIz`TG<~Sqq>bm}un}twT(ahS*eGbCt&e8;j z)DgIh^VL9}K$fyl1q6Y8^_Ni=)Eh8)=$J)0EIw|&ShB4W-WpX8Yzo&y@gu38$GW-T zNSj;n*shx3YhSIii<$m4ppaM~{1*Ej-dl5V$)>S^;HMV-*>jf|c{9S_bSMKF+^5 zFXB8~@^o0aVYwNE#7w(dFUk{mUNEM*6?U>7Rv$Ebl?j!=r-naPc0UpbUdHjbu*BYD z&=cFo`N!Wl?)OqGxUW(d!s9fw^2xal32HbGPgMuJGO{_~2<`-qqR!wXh2S?_H*7C@`GL|c3gP-dn(vp`txq}7 zRCEeZK z-QC^Y4T2&iiUK1F7$Bg6iee)nhzbU%aL@m^ubJNq_+C%WC)Y9harRzo&p!8F>#&Cr zk(oCrF^=c(dq;y{Pll-GR0=peKi!&kI2$bN^ZY9k3gF*x&Z2N-I^5s!=n zydU4og9}xkd896WB`9qEbm`%(04ht_#rLbF(5&XuF=5>Rd>UTq zS#y=}%913g?shfou%|68Hs#`{Zv-igFQxaj}ylHX_v@P&zQ_4#E$ z_gSkuqNvZk!DIFY#)~Bo)KYqG`(G%OhX?K09_59$CsLQKNy^}dT)6vu09d*zZ<^-7 z_>b)O>O+O_J!?o{H?sm9_?PBCETVJ!d6IYH8Ve!saeuSknKlzTrEqOSNW9sDbU&s;art-MO0ub0@$Ka1kI z*xd-nP}Jv1k6@o2{daa2UDl5_ZGQ#S`2 zfls>oU2{ea3@Q)a_xV@}CvNRqY4Ddo51k|1d`AV8_?=+9@wE}v4e6&i#-0u%UO@-% zN{a9k^AW@RCNN!MtiHo^POyDgY;OXKPwXBR>(^m*U2^5iqzh^dP@8cp*L<=OT>o7R zYb=q0<4jfK=cwEvo0Nqrvpx~e*RTGe3!TaV`0stlxlt&vT?;Mdx}V(f{@H6hk224MUzO33Rz|7EiA5*}Ai&Rn-+GpL2t!IRA@C(~f+>Wsi4 zbie+J->}vG6SRNyUz}q&d+fRPTLGB@5cMKhUR#gH^Y!qPrZen&`p^-OqRc)~2iW_~ z=vx(e+L{9z&VB2V5%G9lV0l8}^KsBaHxb8mFU!xYwgK(nNZcYSyHbbalhUQ^{+{!V z5Wjcsjp4fjupRkGB8Yxx>aEITg{-Fo&F&1SpVW+O z-9{-o=YM;cL$kjLjLF#}ZrF$-w|c7yJrc^`a<8~4Bb_NyMDdIGtg|5!`ef|J_>C~2 z{gCutg{Bo&v{{wy>;e!0@q_zGmNj^MU-!GHGJyL1-S00^{$pAO@$w2gPtor}j0Z5h z!SJ?L;ANA!G`c^fw^9CCq6EGj(lPFFtpF1{`daqm(O{usnbk>$`dBI4Akmu02bSl5 ze~__NK%|!6F`+F*JpaZAh=&wyQeo)H7dobdIPhIN)2e-@9)2#59@46=00Q2_SIMCe z^~X}YwsE%^=cjwu?;jIX{QX}wAlR|OugIF*TeTo8IWqPG@rtARWCu=1VVVxYb+?b!UL z4h~A21_O?u^_V|@c!qE-&ewZK`aZP&r~#FjVX4^f==&#V{gnFu@aaE(B4O!crG5ymIqHr^VL-T)k59W`6@{|4N%{Bahpb=2qXeGl%MTn zz~#>uu759;zOYYn{H_GA2eA4|a6g(Ub*vfZH>_@0`6V$aD(8t{^+AVj z+mfJsDP*Q|`*NWC!e2U0ajvKmF1r&u<|>s#FPY`u%t;hq*Z)pa8`eO0+ynFYL3Cc^ zqFuqHb1Qt+TsPsMXog=0??u$)T8x+V@e=p>2dcLVLY^+J9FY;augC+S#{)gT`kDwPp+DL zYk-$zmm4y7N+GOhhv74IBRE7NSL22&;n$|y^jdfoTw>eI7k*I#H&TXvTPAkkbLq)3 zHod$k&!>q9B8bORtdM8Vx}ERHh>SvvF6;z-7f;*-ReA7tXL4 zb+Sa5d2Y}%?aPnwzi`%yK2{CiXVsRw$eV!T(#5?{^gA+Q-*b>#xeBfd*q*4dE{0X( zzB467jW8l;(re(>0tJt$fAPfBLP3fAZM{Eb@UCb5PV0OzJns2=o1(uIM4Wqyo(1Ou z<%E}+(aRcmF7i&n7XAKio5-6Gv1x+RsCo;Xl}Z@&6zzZLRtS~D0${oIg`p)vTfW#@FeS|#rTx`}`Yulh-$DC5A<9LOlP}6aL~?** zUj+Rgcx3cQUb7lrtB~jmceFsCU@B)vRtj`h+cCcyFUC*I9~Scw!~7<&`VP~t!*out zeOPR70-LYH?qRWh9ah&x@aI^x=eGe_U-vO#w12ni#(H2y?F1ISp3b*J(fh3b@^x7> zXiRZ22LHXny!{Tos*Py=ce;BkHv+BIl5CG#9FnJV+p43i9s)=bE~G6sK+Y!D5Ea^= z;8y>}s_kD4KF)XV5$zTM^V>(7O@!?@esEhYYsgcfeVjL;ZbWXKAP_IDc3CzJsOd=W z&i^ie%U!MHY!c|CziPK<4KdmuvS{yI38edfsn{Bda2#B!)FW(e%*XNWY?8jLP)7qE2QqWT;(g@kz3k%r z%;ww`Jg(}j$d>zj>Oq_)+r`N-74FY2T5mJt0Nuq0TpY!Dc${N68*L_dmICd==Xc)H zes7kB=j*=6=C9il!H~kvJ>w~b_F4Y(iL*NOdU`B45BPr0PCY_(XRy4$@&xJYPjR}G zjN|&_B>x3JhEAxP&!UQmX~yx%a>TvP<3=O8H$_a>h<*?4XcQcFscVBJ&+({dPxD|% zo_~@}2b~*wXkzfKECn)p;P$u6^n& zUna~bnclByZU)g{X|751dw9UlW`hD9-t#^3W&iJB2hLAl?=SxNceM!Yr1IUor%NHb zdYIaxz7EF?a#G9XPjZ>?!Xaetery(m^qbKs1yq7 zctj2SEbn{2kyWF*vFU{?<2BHj@Q6HfuLjZs zAyyv{f8#F+?X&=l2Qi+jlBl?JL#h(u=H?!#23X+yi}51Hvv=MwNYu5qgW%IrwhlFE z9M4(xLoa(%H>39jdLeRX|HU?lY;3s)?KAzy%NQP8ugz3e(dXg(jp6>>;^7Yr?@NHu z=1;(kLKBdUjlBJNED#t3Jm-E_$FcB0Dlobswqw|Tn>I#<}>hZcL!$>kfC#@59$%843c3bhfXmxEr)f0_# ztRBGXE2!IS&*bjF`3-z^YgVTSf~wb&msoT>5W8QaU#l=9CLne&mvpoU#Z-V zv7=)LQVB;Q*^oCc+ZylHvLn~3_Z_zF0I1w=^?Zv~f*(5FoX3wUfgll?24{&99JJL= z&F7$eC#Mn9n2g?A1!hezbSS}_h@ziLKa>F5HI2c(Fr|6%Nf}^q&Y4RTOur#w**Nr}B z>_fXX@>B%&-z0fG6qf+WljF@C4szhfba+Sc zdOep5`KzmBwoJ^5jH*1a);&Z8O=rSlGEY+h!-qb1M>AoB+3y=m>ADbN$3rhYg}%RH zk+~?(NoJ;>ca}x1y;TM`BqJ(1!O|;)%3L#IcUKI9x zVMERls<4i%a{zXxKO}iW$Snj)%|it~$A#gHSbFSfJ~m`T=+Z?;j*U@uK7rfPojlMt z{zd*@ia2cN76Wg1>=IgL~ zSgc=%)pf2xF2D9(aRbqk3jynQHe_d0l-cVvH=eKeOdH*sPVwNsch{mJ?EX1vNT4_* z^Ea6a8P5CXw(^o4Ikr4hHOwRpVlyjAcOsO4=ogRP;D!|Fg!TCU5Tyn}!9AkKrG(>0R$g1}w_OTky}jh+z)5AeasJdd<3@DUQ|8#sA{lAeNS;y~yC4NNCXL_! z(n`TZ5{db{P$8tE;L6a0Q^MIs|X!)@K$Mu(w?`dw`RfcQ7o@K4P z{Xcvv6-ytB%$0_%x=5;F^%D^P?mOWrBW2KvLxRdFc+h(!lAjX0l3*LwljbX;3|Rgc zj-5%fDi%iO?<80jHB!Rx#DZN%vl6&`Iy&u2@qYBV&eY-?4=L#XGB+;qi3hA>_Wmib z^TJb4%5e^sj|zLbub-QLV}-dNy(0pjwnyE!yI-^%p~2%@F_7&2rlK@>mEF(q0BU%E z&`tWhP{Mft!y625*VIH@`{|US`3Q5>t^hv>{kxTRl}j3ALyAl}M!De^S$$9bpcHWT zSf>uh zCIzQo)*f((QXmR+=Qr${lyH8!98A;lSCR^>-_)Pwm6rxX_3fWFev}A?8}D5bLe&k0 z5kFSL1xNQOj1kXJiOxLW=&Nn1^R?!q}jsk$hqa^`;sZrz|*HeR+_{GYu3d3 zH%_BG+a0;7v-oyYaF}RFB1js?WsI-d-(HhpJ}V6suc_W?kO(6o&zS@LI%I%NMn$67 zmI_g6@fH3jeG(x#{*dOC10UE6`!@s#O5=R}(M^Km1_KQeO>8x9i3lNUpIxs&{r~aP z{=k8I?=Ua8m^O_G#R(%r;CEWoUkZ3fIL&t-N&$w$7$0Kw!Lr8L&J!lW2*!gL&$)CS z@a3pW!AE)#UxSz2fblQJix|&NSkkJ$n^c08ptP>PHS-D>p4&<4Z{^7=0pB&5sjotm z5Irowx_X-j=Vc6!H3jYnp5EcX`5VLi>K4n7=6)0)l@vNYNvaIK@0&w@YO^CJe98Id z8F?Y&q|}tgj1W?46>&Ig?4<(6J2x^@&Z|mD!I928nsi%AQ1`Dv5uyM;>dp?RGht!avW#R60L%@Xl#^?YpW0X?d01cTyOEruET1OVsao zcbDvGwzf1GOCFc#`eWT8U z+8d(qzdk=^MDbZyo<3YM<`RDV*$6uIhxSgmX@Tz8wC)>|i=cI5%eqiO3k)Bky#a4s z2>m&8*S1##I@CtOABLTRKf>hq={gLM?FhzKOTuzs6m^g{{97G)=(clDf!6?uIJ&as zdlC>o`6-I19}a-&NK~?3YZ>+vgss*g0u)Iy$fv^5_vd>|p&!_bN6`IN zqjBn*gq901qZes?=>)wAPA+&{A z{q)%)Su5yMY)ClKXbrvL1kXl8T;Peb?T%}@8-%Vq*eE@6fKxTbAOFre!d^#8S{)lF za{1DC#db*nB*p$n-Fm_yaDPmsGF@%~$OE0UBpFkvYCQXqR@xr2ow!|C#jT)#LqjHL z+zgVB^l}D^=|TY=ZSeVT%D}G8{B_QX9yYWzy1t@$T)RUa{X@YN{C|Hs|M{Oeq|0^^ z9zy@VbRW;WKG9$S;iCNWeGSI2cJ`_Rb&e63@XU3-VmE}ua^ra81!E9YX>|6{assjg zje7rk2czV9J{p52m-JD8ryjYAVod>UD!`+{M7nvK=C!& z5(r-qk_UaWhxup)ZnL`%a8uF4`2(X7eA2UD-9F?D*T`?}I5FCQSk=krQVX^)v_W=$ zsLlee>~O!@7I%cv@BqD|PEJ7JOPuw!!W2r|YGvgo9HFeJZ6(+n)uE~Dj<4491VVSl z+&}KlV8d|n@m+0ip!^Wkv0`Wm&sUAa92J})Qu?bL^{@v}O_=^fChVb}IJZ3TtSf%P z2y)11-vb_;H^_Hdu?EZ^7OU?tzX?p27}KxA;uG74#r7t!`8w<#7VFnxbzPZkPfFyr zJ{<5Thoolc-L#PWV zPO3lYA_k~GT4K;=BL~Bh6e&KxticJIbY6#Pz{<1 z`JsL&lG&F#-o`is$+ewY9)3I6yKft?PT&Cg&FP^pHAjkz^@`E`kw{?cw80S_Zhl&(*+dnRLm&7H%04E!=jAE({SjWmmp1o zG9Kp`&gxNVeahJ9Mz#*g#uYIh1uS1Lemhb8p-~^o=P#S)# zx&OH|g5?F4C!zdCS>@;T0mJpDq^E%#)gkeJsBvA9$_Oxg3fX><`_{n^%sqC!C0J~L zx_M);2WT&N0&TW*on z@;Cwu2g_(*2noV=!tC5FQhP{cF8d~1Zh;uV!pUo~YH-~A2%Y$KeY6kvCWg^D5R$I9 z*^Hy#$zDH%_ypM9@%Y{nchi4AZv@ZXlZZINQ9UwUUlH?eEd=8M3~w;JWz?vtXZ>S? z@TO%wl+?6`qdncS86+kk+Wn+*!WZ>FK6PPD$J!2F%YOUtzS#hhPR&2;G8P0Q^7ViF z9Wn@(e<{xjn7j@|VU)0xyDyp?5nR;Qtco>;+wX$-4!hXH1U(h0r9M4EQdn?7aLEbh zCyMl0z7Chfgud;V5zyB#J%|xC0T=)I2kfinK(oV<(|*ng z$7PJKb}vNhOtrYdOAi-%ze|?;Q_+qln?_a#|V3myM zQnVfjF19i?4PV4@7~?~%K2WQe2wW0128;(Wo+~c*9p%bE^+%7rkN&=5i1RPTix|%e zD3H@dpK*fqhd(5gODzGzbIFJ$*WZCkussDXSA5X-?KWl=Z|;cmGKR+coFY(#02(RkLA=n(n5%?*1r|3F@rj{@l`phAKl_0z_O%~Z4wX;u^)`yj&vG*tGlmM%XE-FcIe&F?j28&C4 zoU@jAT@;n4_+9U^7+w!x_0=IFoj>0DPB_0|b%V>1u}*@06TB{Xw3dABAMXwqXA(5HsS?epgmlOB{BK>!xsXi{BJI5c!NrtuB@nq2}1WsXTcQRqh9^= ztfito9#omK{YogqAV;>Th(Rb6Zg=ZFI36pC{aon?A60dpqXLq$Rx8(vEoM=LP4d8pF*SJb10h*7LMPA_S<cVXk0NaBHI(pC0y++oUOGoahfx4=DjL9S; z^6kS}_MagUuOdY?>M#jIXe-Yy1QMD z^QS;43;TWYc~swoA>6SAP@klPb(tCTy?K86)y#Oy3w{`l{oSgyhqc8S-I0Yz$X&PG zJu(yxHrI4go~|Z9W1ZXt_iQM*snT4Xt_T9eerRI%hbOq)WTE|b%?lQvZ>23RyTVud z%h!*}1VBaU5!H|PLf~^0vER=`Kj2pRL$~A-1Oc5_u9Los048;DlXo<(V0aWM@UIJi z2Db$R113jU`;oWDWo`uD1HX8iwT8iNvir{fa(iHmWZ6|=@dU0*5oBGysPB8Ae`HUR zJ#_oVqz}+AA}2+iZ@CWo0d{8V4Z2ld_C@_&KC0w#g~4E2g;u_tKm1(z_0y(R13ZOK zDwLdw0t!S~+>|s12rPg7(WgiNq34_3Bd^i>pziIm>3~SMEO6XWZ6^t&NSg1p{|O0Iw z4D*}7bcr$jI!xyT+lR&WCb0QB>>d{D*I{+tEYrUmO{@QxuPcX>-zL#$;lH>3y~KM` z(gb+;WBKUC50Mb?DSGU@vJ?zkExz+hMRmfMUR<}i5D8`+H~%RU1p<>s_c(bJ8XpOD z_aFZA2gxh_IDT|%ipDAxjcfJMg;Sl+&XY z3w~{z=T-hhLdeNc&lR>XP&_S(+!+dhnAd@=MxlYIpS^t0)3z|+I#S~OqBR=cJt{hs ztLh5YUx@liS0iv7j0s9rn9C-_@vhoMwURG18jpkiFE5$j=tRO>=G)SosGb29SH{~_ zGek@A5VIg4`uL#_i1LT|cTC!YJV~N|8;c7b=NQf&E;XKAmP2*hvZ%P;@7m+}dhPbi z)~K!sQd;^VB>7|#{(gB0cylIR`hhd6uVUq^;t$m?TZ_E- zED$Vz?y2puY`&6#E5QwI}PMxsD^)}QQkrv(x` zy~!^UwLB_UuxDTFV-25KPaN_VONSIcXY0RnlE{-^Bez;g(0{N0;``3;Vuh&9D0pNw zH?ZOy2|RVC(hg5ICoTLOtekfE0rdxbL$M7-X6SLUiBSpHoSMQ-_C3*&QHvqK60{;0ztMeb!8i|pY26lnqa6VS6`wq)s@M>PE9(PSN|PY*c-6!0 zI79FmaJtDa848JCxc%Km?LbGM!J^1I5yxeWubwF$b$US(4;i5*!AxTIh+}n_NCjma zpx2HOs%!pmIaAJ#Q7-|)gSEqKzXrhZZv&HiZ3#GEGYI}H>v|jygeyg?h1QNhRoJRv zrj&y7lhApJQR}ld(CBFHZFj^0`UVpTz=x%=ERR@d* zF`nyTY_Y$$76DR4jWw^Ata1LucoE~-ig*d7>9kZBiS2o+t^R*_KAU03eqBBWc!h6& z2UK727!BWbRg~W`UdHg4Q8!uKL^ufNZw&X#f&xkTn7n}MQ-96rm^i5CcieZpp^d!w z{4dkDz+{igjr;|;eX9;gevAjWxzQ!31qWLE;Jzsz5%w?*|G7(8p$ndPAF`C^3v z>hGzJ46CFj2jg{7izEA>DR(AFY}qGl{Z7Q|qOd%Yra_KiydJ>nD@yUyHzepBD8_GC z-7t7cwyQ3e7s2X->&d_K2l%3(Ph8cejy()m_((L`tD~Uy`Jq+F4+Phz8JqS(kx;z3 zUDB%-2|=IiPMs%|M*bMxsY)oygea-OY4SW&zsjIvaET1{6%c##qH`$$C{?93y_2*- zmhgD^GgL>Y^PrJF{jV z<#7C;pHHpttxW0|4I(p71lOccoSr2zc8zS%D;d~^PLgmEM8L-{ZDeL{VQ{%Y^at-1 zR408Qk>tdod|da{^WaNM)zM@S3-GeFiA425)b?8ZJ5jxa?!D-oJDKp?M8I|m^?!@? zy|A+-o(f-o96x&LR5*SbuJ#|I&u{_kyqS7_q{lrPzACwTEZ>Uigu+jDg^^IHh z*)iujjrwUhEwN;wz6{Jixu|EZW`I{zqGCO|-|+JH=En>P z@Xm)^WBF((#P=LMSmpMG0gBPs?XyV$UuAXXl#?M-*jlPZHv?oyy>oh4P(PDQ=SK-o zBY>I0^%n`M%eW%2&lQBm#nqk2QEtN!)DP`yg$l|G$;wZ-=4?1e44P*y(B%0PAa_>^1tlQcKeXWnD>_Ao_OCmLwQIYZ!Xxv~~i4 z>b@P}G&`!t_CBP!{c|upu?n8`_2Y%V=Qo(;^--UWk(zWy)nxemR^P4i5$dP3<6A0- z@==NHMBjN7H!UbW_=Pf~{#Dca50ffTAGH+{-CdCgcz*wh*7a_5j+<+rX!lkY7;N-c zM2@7wH_bECUs2rwt8q%?7I!?@nIEegD@cM@?S;qGuV#Zdowuv@SRk;GYW0ooqjC1% zSqx8Pgo;ui=w5p8w zIOt7N`||v65-^qAc6%*ajK|e9`Mu1Q6KO#2bpC<(K_J+9xP1;_@`I(r@}6JG(C^9r z;vB=-?B~B%6j7ZiR-YL|$zSexz6Kco&K7KAht3E}FGf^{2z$S7q+NEG$--cqt;g-U zhbx{JSf12|(me)+36Fp!gG9}C@qC=0NIpDT zd-5w1h@Xv7ksKs|zh|BibxsnF8{1`KjyfB@u$wcObKKek>LdQj3hBq-Jj`Wq%Z!vQ z0q&YCDBNgfM;a`xj(wHOfcv~+{iJ#-;AmnvsQ&+OnV@*%ah5$Ciy@Ym7|6hJ8RM&v zoekE#cc`A&BZ8J|V2hZUMY0Psrhqd$({+uXF>v#=MReFqIvnY5xlj27#i2y%TLXh> zIA8l*sISUaO@oyC>DMot1%LuQZ@!*X4$e>8R5X7OQv+20l2fyj#Sd;g{w7>m7!Jjn zedn%KhvGPl@gY_pxL7{UYV%hFj0Z8EYfrRN@~usP2q_}bQa@{)e=%Ofc=mld@7g#K zx|e68_WRo@dmPVQ*1j6^t)@VMwq4W7d$CZKx5k$i7J~CKhR1C^0;)WyKNiN{814so z_L^yPhruh#1yv5?G_blg@kRF{58~lhsN|;-3)-XUOOk^@5KHt@>mmyS&N~iwFG|lgMf`t;d<%>ye<;j<_li5M(2OMMUuxZWZ`uY zT`AYV~#IBS(WD86jAG!05l|w0YYHHtAPPpK}HQ zso|%?^kornx<}i>Ndff_JymRcz8T{-7Jwg9^4xYE?po`08Gz6JL#(;sUrG)S}qi0j_RA6$!s5% zN=}4I$vT7gsK1%Ib?|8A`2+|(J~2kWk^my_%O8aa`Qhj161Ura7fccCJXmjeHe~A! zEWgFCUwRS%?M{VHJWu(7tnsxPlgtn})Sx1gu#bKpT0cDWi_r;Q_uEo>ET{lYsP4+a zO@An{?>0GP8U?zZmk(*Xd&9j0Cb@W0e_#*v3L}%XL-#f%k|#xjpg+jF$r$xjsxvXA z&_w&bL_-yK*9073sGFp!av&HSBW1!1^g`qL}?QMUsxIW<1Z5sm5 zIB6MuOoAa#?F7>yepHY4>_bYeNcpAUYZLycE z1<}TgX53?Xh=aMOP@aGj0Nl3-)(V6H&AzzM!WbCH`y`Tv`sg(mCz&g`2fFkr+HnGL;wA!8>sKuXyA=t z{;-&j7#5$HE-|KGhv}SP`>@#F1U6rX-NR!2IxJtQhz_T|^mfO8@8n18`=kWHK;~{f zsDk>$xzZua?8caar*$@VSqzT^$s zM_zUO?T*9oBSdyTZuJ=2Kh8ZFmFpP?qydU-=bku&{xKuE4|^fdLp`+j9M$We;n&b& zOGV>^)albL6kk3NoS#`F)CaeL?5gthP-vkM_6vQ(2Df^TJP9pAzaRALFYBSc>$0oU zpAvOda2$+3nQh4}5|87Z?&NG6;S2OT5a$Zim5B~?18s8 zTrduCD6$ZO`Q(kyDSjyK2guT<3p?X+j^S)(q(oV`R21+_YNj<+x#9ULV&Hjb)W!wq zsqOraqPN!A`yDM5l`8bNgwtff2a{a^cwS(6;zF4usS{*?NE9uQ?kuZOs%=W>l z|HCKtyBg_TxgNl3TkWH1ZVShc2iK-p#Y3Ov$vVcXo?!I&JIKCthx8lIPR^FZ;`#IS zhCeUSycsx0(OmlY)gDe7OskSSjDrD#Wr7}VY9wdDd3jIA1MXVhIkU3t35waNqupOT zkXLe_hR7UAKOFYqUan&`giSmw@`=@i2pw8Y>J4HQKwZ7 zpucA$&tQwi3xu~V*-m|qg|3-)(|RgxJpaOG_xMTb{6WV2;<)U97d*-4S$5x#g9Of< zJt|6HunVF{B`A)BHOajCXvcUoZvTINl7C%$P2b222ze;WID5pv*)5;51icr+a3ghv zoKZT!3=p0d51++5z;H$Dn^VSNI1k?~0pzNUCuqm|vbCRNL#%&345a<14*^hmu2I7s z^;1a7G39at8v=)(ToY?ViPttb5#?75modJIWMfDZ?{)+e*$LOBGAl^24#~Dov=XdE2VMm~l|lRWh7uksB_22qV|<9!2h?%b#ea2a6f_nqkjEawC`uqJX;eQ0|8gfch9PO z!qbDC+h+efAno*=P+FEUTrjUKD>kOVc}D}ea^`A{E9kf@cxXh#!*8>6+V~DHs0i8L ziVSfBTOnFmb?!*KE;{qwK8g#~<$t$4w?>s5kJm-@L*;UB&!Rqb|J4IneWkLOp4(#> zhw~d&Hyo;^mbzNug<$o;6g{dOk(UXx;1!lJhW6uL(Tr`i=K)!Hc-+kGq|-VCmb* zNGk7aI5haBU%W6KDDOJ>ezZ*olULdwWIfZ+{q+aW(UEif``?d2(P6tf70lib+cC5F z{LjySB3F9kG+#atb?~a5M)#u6wv?@Q-N}dcxf>c2JQDC*iQY}9F&M^=9;&5Z3P6@M zx0vKl6vFY<(;Q)HCGbyVQIwD?3uq-aN|-WApoQ%1rG@Q0u%s4yplz8C|CU7>t=9^m zy;{cct5z*wzEoT_=^|r$=>IQmD!?6I3W~cuX{S3%!0O?ZYb)<6;dT03!!9dy5A?B{ zgN1rI7*cOKUtdqdPd(!|Z*xklQGbE||19S=D@^#B3G;*WXn#EqM)M_)Tp&z_4=;p% z7bj=IkDc)?(e+#aZnpI5u`npIYUp(`5JaxLt(rPObzBA$h}viMOW{wP)U9UP0uX#- z6}x*kACid$r-V0Bp-_v*hH0k+j9i2!7ujG(Nn5?uk1ZR(GPh1gggoor9;S zFQfj?46)m(uyi3r${OukE5=jU5ie!Iy6V(8u|XcXch*`u>t6tSnyI@I+$lhN_)XUc zHR|)nYc#Zu`aL+9PdI&_jE4`xM|v0?b6_Cyt{&0dV0fW;cRQjToiC(j+0qZohRx$& z@(x5&A>I9iiae^93Q=nr4W{{Uk9vHy#5oNZ^Zf&wSREl)l5)xGOeB7~S^Gu?y$uCH zrtcL8PtsuTrZ9nwUo1>M6cg^3cSeHj#biP_b75xIB5GHt2sRQpD>`nM!r7(tIFU2y zz}}KZJwKZbH>S5DMTt-y9hq3G{+sz=p2i|n>l+W!9Ms=@x(mR3YTKPwwhZJV=s1rC z7K3A;;Q3}+^zZF#VkB}nANZy2UO!V_0QQXPnJo`0fjWr0mMJR|H1nFMQzFvwlYk=2 zPYB&VcMUiuQmklz43}T$~$ATuLul?U55Kl1i(a$+$l(7N3~k1g67`>DOVp zF4+DrwkLwk*J1b0Sbq|$W3k`+Q7V1h5!I_meSzGZ>nVk@HL*7wTfs>1MtkuYpCX`Y zya7VwC2)7{#uAZk7U&jJ{~kJp`gpJ($x5Y50~fEQU2orN96zE9+>04+7Q*%At{)$T z>Veq7wzPpS2C@WiyGxCwfcov7_IeeF-}+uM_VNqC%N zI6HFMOfN?r-6wzZYN>EJ0?$_)Vx?&@85j7)*-A5j>H}f#SHAI^&Z2%YoD8Fw{VX>VWt4Gs1rcQ<(I&w=;C`t8gxILR3Hq0szh3l3mxwyYv?(w;d<@gEh@GEgt8OqO;~jTtp-auo?|tjv+j&=#04VR zA^}c+qEP*g|KdCQprS0gs|ctcp0J;&&jFK<8+~-e1vn32c!S}stXZQjeQP>wZ#PF* zT+aZW{B-gQ@rCd?DCjfIZ98}y7azZ6oeOv9wcKKC)8HtdYYw?@G1PK3sSX4=;`yij zfa8J{+V47Lr*>DvBLU>5cBjvyIt!w9_T%)2wE@w&~ z{+R|n=3DgNg43ZbW9uBZUlEQQC87C^G0pLy8A8lx*^vONSp{>CoBxl8VCYf+sk z>!#0A!B36@Yq|77F{&r`QSC)KC8~3B=cG9!XKDs)8q?>OW^2Oy$-uv!_e*hH#`x+! z_cg8&seIUD_wO(E(*Ty8C4vQ&e5g^)Hncce1RghU=58C817S|GQox-QkdJcouU#m_ z`FflnbI*3V7;eZ1pa0^N21T))pBtW+;JkDBx%2Oy z4S&ezIJaH)uL?qP`Ih$EBf%+$`rOt+BD`HpSDfoC#_OWFmtB^JmFvNEY*oqsNhMwv zoxWf5`(k7fUJqdPm2!ZPEXQ;W&Tm-VaA8Vbdn7m*!Rmuc&F>~S>(Zc)>f9~2T1tLJ_vohsSiWAF zD}bQ8>x);9Wr5^X5Z?NU>PE_aV(5y>hhCPzWUYlv7&&Y#^ZOthH0SFkPCU*6QUWr5 zGm;d*?sfdXudDk1&W7*dh77Xk{n-Ed{Cihhqv9-4Jr=hXxVKwTG(K5`_Dj`= z-ghfjZDwn`& zTLCH(|LCdg8z8`)a3yFR)&D(KcctZGEf6vKhnbws!_PR&74A3a+z@s;B^vpknkWEZ zJ~8>0s07G2$lOHCGhn;B>B}8dhpFaEN%S97XCmF4Oe`C{mu!j`UnHUAK(sAl`v_5; zrSzcAiPwHL=$>pU`yzcQa2ScgMOz}qqAS^;A&uo4|Qzk=q~DF!*KAhgc*NYjwAew7D~LTh&~-Y`T2RYd{lp-c4|H5-N9^Ae1MhaSgF!_DV0BJgipqmnw2oPNZC#ei zPzlAdzVR^?^$-y{_|jjj3K9*^nc6T4YS1xY=`71?; z+q)znVHP$@L*FxYF7anS=QvXdu~~K$_wTDfPuFA3!*phV_3t`^&93x6l!unF%bbig z8Std%&usN-G9I6pj~M1Rf$0)s`gNGj3APW5?M-0wby&V){W|RTQXGCBL?l@Q5;2R{ zemt*&u7U(LH`K2>?h13YP;C{A$Zg!V>OyrD`(g)5G74a0E?Q0MSw0+mNje(5oC{w( z^A<)~n{fOHGm(3n%2WdS0ye1(r(5CXYCBbwP#k=#@{;xFPX`ad6MkQAR6^y&1drK} za>%U@sgNv3-@Ds_*V1|pINvO8)Gg&zx!*x%g>T?xn>1swX32WQ+q(~<9;bl$-oDj&RQD5$a|~ybK9C^%WJO@0c1^+@?c-zlYTW`)emru5 zGbHzp1ROzi$^U!5^@Y*?@zt5IJv#k7Y%~ea3oK7e$f&zZPNMe&|KU2tm%IsSwpN(` zJWD#9Scl_N>%2E}DyqY4JeKb9@moHWkR8i>>f8v`QkCQnd($Bk9vArwuQdR?zD3!EP=zIU(KF{lV{{gRlx!=0g?NJZcc^=1ko%i!RjvANKmB>%3 zOp4FI6DtgTtk2t2K*Tq%LbZN+LmoJ{b>_RQWCE>(_l3`anFJ5uc!T4ugHP5csbu7f z^tUNK7wK4^=%;C#3D1R^B3iC!OK&)D@^eNxEek5t?MhF`AwL*(ju>a3JaB&?d@1Vq zRU-dppNFd6SB!(zg&(gvUqygI(}~ZrPfOrS?Z{qN&Ri%Vy{+07n*m40!(EU*ijv2s(tu){gF)Ib|4KW??yU2|KUa?yWWaLaWuf`(o^g2qo9W7Q{aAqOoE5? zyI9&4UL$>)=iV+u3&%0<`Zb2+2S+R zs73sEn+jvE@|oN3BoR1_^C4azq4=snwd@I;wi48hAd9@p+^o$or3 zMDRC``z}12HBRCrSg!MFr~F(532tZEPc)jt=gQw_ws9gIPHKjp7sYXKUcy&dZcdEg zok!`C2fNXJ5U1~1AFV^>P_RF^C3klK;$3bt?d@?u@dJxLD4a{wMSCl)2k%K#!_56` z{U78qqAto2qWl+LoI}(Dczt#L`j>dBPZb2e;dO(MF^ic*kSB)M2QQ3H^cygdf!~+-2D;K-*sW4x@l5L_^L1Yrw8UzmjI>Kq>q7HDHK22 zw0Y4{CiJtZ0 zB16c#gW+~!S-|F1_ixHM39c;lcs!-g01xpJR$iY>h~6-G9v~PArr*EtwjH>Lsqwq& zMN%RirLA2v2bGJ#_uK1BCf+%~ucN`YiTokBJ|yXU@lA%;4CRkCXbPbzp0-&>uoU_S zY$ydCbAitIeH~pF2~-VtNgt&q!@WDqpH@)4{K=t5sg4`KUYdMx z)=z&v{-+3{q@`jP-=n%Ex>)VGCGxKwE6}M!?;BHZ{%{8x?jks=W_l~M2-UM|KP5H8)1g$n zN+1EvOKWI!*%&I;zkM5k!p%iqP&5wy;=l0bs|GYSv0_>e!xTyJT(K^f7%x@PHMNQvf&_!WHa zsK{o)_r+P6B%UJ34ZoG&VVMt~O^?oUcc;SY%&CSi1=*0>$CEC<6Ztw!9_i8iTZZ;V zLj_0(a3l+Ki@>0HzA4ue`Mh1<$uFHkLOKy$l=hD_u}n&- zP|2!z0ta2${!o}(BFE|f@XqDm7OltW5+V);4Zl>_L>B|=r>kL>2aw+7e{uEk=hlRvrk@8 z0bcNBZ&y_WcQ)~S<%_9x6+08)+!6g+sW-_)Uf_8mq|dyM=Y0@?>$~D_o}uGKJ`8L( z8P}0+E{;!}mGy$EGf3yxq9D7xfCPIlbw9mLQvn$-WhJ?26OewNGC7Sl6`Z0c`jazA zME;o1*o$`{pDjAwu*Wx%K3HC`v1_Ri(lChW-nI!a2YBf;`?iQN7rUdK0G5iA5FYP z2Bv4^+ltG11P|bNgX68!p4F9-8gyUq?A_L4OBy82GdSAhpt`1v?CIX84eZzRsA(NC zApGQMaeCwnCiCYhS8P=wI0*5W-AM2v@=ucfo`gC(2@I#1{!PfGz=#pUGbkv9vHC-| z?2-O^lF$iiQ@R2;%{AZKda)AeHvT_;sxxzB9*<3fW?A)T`)3p3c81AB(3JuLH zcv-u&(ZtAS7}ej{m8eVao@}s(x<;>DORg@Du>|f5h;PQF@lAVQ!Uyiem5PuowX}7 zSCAg^fBd9euW@^*GZJf+4#|ogA%RWov+}%QbbrEr*ZO>SJb}YFAL8`^#gF(`&FhAM z^B~T1fnn6_D*+k6ALiJy?XwPs^DoYeIM33`vB|HhQ~-rR-(;+{HHPE)NSDu3#@bR) z-7L4F`H=}C8xF26x4a2n#_@QzPR=lw9fP3y?FD44GE zDCTZShFe^ zMqzh$a;Q1lBw&Xq9$_odF&O2({+aM=(O6*UU)c$-a4cU}mwW7RF!sBXpENNMgUu_^ zN(*O4V9sU-EW?g^VH`K|+=eP6u>GR*)wkXRVYekCHO_~JW80VmEo;w4W7o26OvFXP zFjX4XZTV(F*t7;;(EZ)v*zpvh)>%p)EZ*VseCrWkOko@*j|^*K_#Czh|DW*W?dBNy z-N8?%Y!v?I&yRUNww3lL5Oe%u$%O^@VukI>b7nzd7~LMfRQ-##P|o>wA;6gi#xK_A zhqC&@g)0Ko*4HDk+F?tXowV^-%c%8MUv~n=vTHBHOQTrqMywjggYkH5E0B&XKb(lo zj+Gtj*cXrODPHb>RS=17RMQr^vP1xN=JuiNwpi?++^N8ibcxvOq1iOaA4%A@K@+l! zLJYQ#%l6YLu{g}{sdewy>3A$kSe<$)*ONG{?<72b8{z@@>2*?@LEp<6%Tbj-;GFJ> z#f~?IzcBa4#&6J^eXS6T8S@X{={w?&{f>XfYWmC#^U!VZJ8gCeV?BOQ+RnfYdwWfo zGLbC|mo-~YcFA%y=)#Y&beV+jLqNupZQ`dE59g~DTA@)=^^dWyihEf z_2~(*@BmDOO$Q6{O^@9kVUDr)R3_&h_Qx8RQv@XWFJiYSS`Kb+^2H>!@(y)w zvNzbhu&|^ZL5ea#*vMoYvs|k(=5tSmdsmJ$ru9BA&+$qihTltOvW4CM_s0qO zc@-Z^Nmhi7&bYUSZM{bJ^B7GGJEbW53IdR&N8eBzePh+2_eRhav1tDMfp7ZJNgNgp#6u)o0om?2W zbOdSyC)!~f+*6Bkx-LX~ru*$B|`7e&St2h#Ij^pe*L#9W|w_>r0%=ME(B`!q1{$S_ukJ9wQ zszh`Ddi^p3{P~W5w{hUJR>Me+TTyYBLy5e=^Q5?{1iNg(1vsuNhjw5S@}Af={+GPF zW1|Rs5?%d}G`yh-OAKuxmR#pC9oiLz?(I?7_l{a218~J=e-90{IyqrIGs<^!Hd2WE z5%IlW-*(OtbGz9=l{#gEJ?=j#ne#Cmo4NYDSBak%KB_N1ZJRd40u)>0eWil2+casU z*=j!!w004H$!G}WQG)voqKq;Aah^h%E1sZ0d7~k*(};*~xrM#%&wGO~uiDoSnRXbW z_mPl(mWBj^2XMT>@%C2wjDwp{BG!cYdtCUcjAcG#Y`L(_AG1!`=_okv0qeD=->2VmzByjvI}|V3w~6#j?=%#rX+yD0>h%&VB1$*hGig*VD zL5=6aFV#8=j8y-VO-2g&H+1^4v+egHa2e+-kH?$48(%Ac;e$$l=2drWZSlVFTV`bt z-xnD_$rO$0)MZ5f>-NWbeb1XZ+h4-m9{+kW@J5l~>+Tx?d*8$wVMUZikqdo6Sasny zFw=1&_^F=m^1+jTW8jo=-*B8zFy_3p=j^}(Tg*$}b@M8(9f89*AL8{vWLc26POv4x zgE-H5TgLIFBv@gi8~Jg+KX?%Qi}NDRv)4C1b_be-WA}r+)s!lcp22^3{-TmQ^+-S* z_DkIP@|_P}*m&)vl-+Mnz~D9xe-keKSq0}V1kk0orVLC1X7#5Fy3Q)&v$)_!YYUTUu9zf zn8~QLVe3yf%)LF)#f~P*FR12M_SzU{%eQAAx7?Q~c~NjaXV2k`nzbinnJ zpiCISZ+PACafns1&MO%3`rz`+IZNJ0X@Ewn1s66Gq5e$a4T-}fXnH}#(L5Fd9Hmo* zeW+j1%Of8y`~vMiIee|%k*tgbt3g=hXfb4p?y970C-piMqO)0pfuy z30$iw@PWVSQ(|8{{5fNxw+;344xAF`S8R)ile=VNG>(zr;9D>4;}cW55zMss?fojvXx+m;UWg=K12%hCO={jXPgf=vqfO^)zsvgqm!S82P1g}_>es=`(rw1b6p#4vVX5|@g^(Z1f1rtv( z>2IV$gp@P;AkwwR{b6w*G2Cwg*CodF>u{YDJYVs>3H^!r-B{!;*Y zZ0Gd4gmb_<>R;6B*J*J2QJn!MNrD$mqv}2C$?*9wwrx$PoWPIz57$~-kE zWB}?@as9H()N(Qc=`7s>VU9Y#r7Wr3!cwEfIcL>jMd{S+1=})vTMe~X4(_$w`un@As z^6_ygOb?c9De1+*Jre;18+7lP-Z|czdQ^$X9|!NBsl0a9(ELwm;9fVHD|FYCUg;@= z9?xets3MMG7o{yTm(hH3{ZXoO>ONMO4>J;0S2f1|lrqvQ7<$9bl;?RZjTNBO8y?va z?TFFr-z#N-{5$aYwzd%C66-{9!OP2b56w3o3hh3|iRRUC9>DPi$6NpVqA~l?e(0Yd za}D7_GDParE-mn(Igx6`Uy)@2;NGiL>2V(UI9ePHCZqWp`zHZU3)&Hmg=oAfBPn5c z{%LDaRz}K1f!}%Mf@}-4ht=LNuf$LUJ3iOGim}LnNdX3CI}YSeV4f0DIbIGpKe?Xx zq>yzi4Qd}###~ZC-+S8a$s+PO!g1p~mC)2SzDVTrsxT&y84OP~8M8g!{T~m<*$-LI ze?s$m0%HR~K@wOC?O^Qw-$l?Y=ifAzdj&q)Zus)`BVRS=G|Kl9p725Byj?tPF@eiC zU!B#Ks&?|v1yPpToC}=p7<*Igt2&lExO$$2S%#DjWUlwxC0`4HdZ&kXzEvv3tJ3yV z_o2C=|M+_LL$xE2YkVZFNS z%SoV;EP9fHI*GtxoDcE(K<7<+(kcI|1P|gociD1k^>Sn;q_+-#f0pS^@Gs7bIL}II zU$8XB%AxO9*G;Y#F9Od4V;qFlwDQ2?4WkG5&vX!cb)|zc0L|U}$ICb#pGb|U_Mk{1 z_#4Olm;5yUMt>&)i_=FjTjcB3QAplBHF5;2{K!+dS&|O*ltU-tW#fSPeknObSe)RU zL!wnJtzwq&X5M7{cTy?5O1M?O9qk|59F#2kDuMJdYS!~S1~Q1csHP?2bA4D9PLTA=j6C8~WTGCx>nlFP)Y7&G$J(QaSdpdSX$spaL|Ml~C^)NoYcRv#fMx;%@pt(kmTTAju$Tv-U zn-EXGo(48m|Ad$3j4!wyV;8==HxxVe)L?!Q`N(fqqU#LcDS`ZZmd93(LAKIp{+;6M?_{w8(5If#GViZ|ukY$RgAD_*gpmbD3+)oPXrT>i zsNYYgb=K@-L@CU*eVtP=D2Hy2(xXybr677Tq2JY^45%L;yd2$3B2ITVg^_L=8Nkn+ z8bi)!T*&pZi)y_VMoTJqu28O;~x z*3rE*S#|#%w`@pQ*wwO9n+A;~Z87J=$ne;;Km%jRgeq%lO|oAS*gYIm{e|XK-Bcef zEus0sdhX*N(qoE%CO$noSu+!k|C}+DdyxR87fg3m870G4s}ROFH0i*|y5P5h;xkMF zd!M>33%FTI9#RTtgK|UpmHXoH!1o|w(WjUM`fB%BU#;dqCfl0u8qyJB7@>(hi1t}F zpWhH$M}0L>&eN%VIU>+pASA~qLV~(e@-A8xsnGmo%7i;EALm(4>H;b6-FD3Q}v;^Y9;wi$x z)Y0a5@|_GwQ>^86@-2YNCS5U1RJqU*C>Qu$EE(=Cd{Ih4_et&XESs#mGr@QBF^N2Y z=78c$Z%o$uf);!g^dct^r^Z7iuPB8q2#-&$vu||A(&F2=r7XRO`&nC2Pfhhpe%O2V zbL~Cf5@7Bz=NaL9F+_ZRW?^wsPB-dk$>3`gdRirZ z`U5P=3H(skum4w#d_YCp>V6u^Rl-hgCdYk8V?ZzZNdFGSbcj{RJL!ERALbX{%XVMS z1>xE*x(G)y4kKAvPv@uyc<&aK0YH=K*T{kfAm}Ss(g5R&52e!vzmyj8`n2uuasoN1(`D` z*LMfPpzQW`3pC9Zon3iXODchga~x;4JMB`>_RIw#3H>8h9MMF+esK&l+}02Px3-qJ zKK5o3&)07Ek>QBx7NukWN};E&2pGdxG|utD~x^9R!kqAM03d}-*ct~_<~DxYvMpbFm}g7 z$6$Hb3`C=zT{t#h3T%Ga{nBwkm~uqh@YRVNBEH#DznNc0{;d^V1B-G2X@Hr&n;Atv zcbo@syutDIKC?xOo?8}-NY|(OrK7pvTc%%%+;U-kq*wbzgCZ<0yyKsmBSXhrhe3u^ z8fZvAi)uen1VN1Cv~;BNf#=`yVc}8QgUO)R^L487a6AMm+>ECs7Q{=BBPXwLca z8>REsx$wuz-k%=Tr#L^oR4sD<)tU&7ZH}h~dg9@4{~yRJ$RTh;ber$}?f)WSZbj_& zf-TZfQu)65WGtKD;i+v63w&fUaA?x`-cyst(lt(G#AKj-l3{UXzdB#6)M`a`tsLQB zkIn72SEw(%(aV$LTS(wC&Q}+%3>-Ry{N;s}71q;pEWtfoyEd2(=?I;;$?Tk&2P!$& z*tgJJ4%bVL?uv^EKo;A=AT@!0a?xe#*W+wa)cR1n_xr#oN-`9%N6PxDuI zA9c7Ng`HK|F;;Jw0*j?FI!kG(z_#g^7vz>m;4sdIczw{It->bhtU&M}&U1~|7oU!? zWdP@gQPn{|eS&{+Uc`C!YoX}YXNn3iH3+4AKW>lVc>XcqQ|b8YQlRL$TX{YO-Af-@ zdzAdpgWzQxj~VCS?{?`Zg1>RxR}{MuXShX%t=+qG-VPK4odXN!I?7kGj(vP3@o3+0 zZKTmSA_CY{sEp>5fJ$0E}1u z#8K(Qz+(GH{}!tlaCQB2gYi-#NW4+B`#Ky8dsRZ|eoe>0x7~hpj~>TD-&WB(U9V^m z{UcU<{b3aJE*^i_Y8?d^>*S{_{QU_%tg@nosC^~jz_VJh`=^oP|NQybpGKLxI*G8q zgJjk7DIT284l&=ni}pICp0OvgonqMRn^4S!Td3+>42P{{x9=7mISiRdH5&kp_+(W)5 zvY(0}&T?_--_r9+NDt@#oqMW9X-fW13KN1|pKF4_f%r ze7~+P5*+44%5JffVfml?2i`B4a5W|-mjhBk&YSuLE80i>wQY`lb0QW@AEs5UU5|&m zkH&myRU;tqmfWpB`%{6JUq{qxj0BR~GxsBRaqtqPH4l(2oM_qsb&s zRT|o3sjVqPd}v*vdr)edv;VWlg6&iBpBO<=Wv6tBu;F#AKvy(}gIHuhSXUhIzr z#|`xdyXOCIKQ#O|o98@(9~@$uPx<;7?Tz@+3%EWZLz`J&_u{Zzw=4Jd%d@MRXq!K#72Al@bG~2j?+@YNFNzLyX`rc?9V2Ha>l7I(!Xr6 zkRRbquS3j<`Ytz3CU3UY9y^;!U-@1>45)dfl@D$O6Y&`(;NWWT)*1L>eDrKTC%~+q zd4=%N9Eh)Ju)h5O`AYuh4~zSV;eHdiE-|iOhwGf+`>^=l1U_Gf-^1elI=rs44el41 zL-X8%8ZFatdm=$(?39n857OPepee^!luO`;>kG99w++)k{f~}pvTy;g#86HLzVwBJ zZ5Li&LAb+{{?)3&3eBOLh#w6{f3KL8Yg5HO0b)b$R@vMPf#aP@&D3aL=dRU@E(ZgI z<1|?p_tc^NnSh{ms^jM{(WYSb@DJex4u-$I`f+?Xj=;NBU7I;~w9kykLDcIt&&RE3 zUr~GW$>35E5m$T{vj1q0roySUYpEM;NblND(=rn2%6_MP^y$My2odKv&hC`CYxFrF z1!}l<9Qum%lJR_9qv}2rbITdRDin<#+NTiDSNP`HavGsfka)cy;M^Nds< zO>lV;xPC)&WL9tx`5~LyKBa8UBJk;hpO4F3x^$T59!@JWLH(Gtq=pO3Xn)S?ymUS4 z|7AST306vs1g9f>Y%EWsiTn{MwdLRmu!oPK&{7u`4BJ%uI8D%==}rcl<%v{5jA^yx zlBj9|6ehQ@>|AhwbD<3S6F)sL=8o_r32I}w^w1#0lbj8k)zS&H5lE+iLp60Q8qHb% z7vGl;b~hE#r^8lSHcRVpG`LaF=+b;45j=q74UV@7N7R1)^FsQ7Jl~CuCq+Y4VkTYA zB@&ps)tpp&cM)t7wR#Gi5+L`*tz6v)(eP!=d0erY4C0d}mkd5#A@a|)$=mdx1nRTa zuYD6%4+i<^@T;%-vf$eN!1SkvXbzZ)X?CtV1vmrK=j|%;0OzM3uZ|~zU&0~(udv$2 zBKo;yS&=WEO(k&SxQ#h^4}~8*|NCCnF*N{ak}9SR$jJl`3yQpu&2){2@ev`5o3Y}U z;vQ`WKG8(T*FVW?9O#Ih`E@-|Ml1&SKb;XhWDc0X!hIfkw2y=1GR{|`%Pa;@kzU2k z7nCMyLMkB4s&6>fl>oo2*|`p%NCWmAWtT_%Gl1PzjhiGA0j}(!$@vMX1Yg@cFtih1 zOoP0s`zPcJqJaM&2fax>+Ux(1pDr^!wj)#fU_7i(2PDXmpz>QR;e})rB=KF|P34L1 z6C_=h;gE=fy{?^5Ev_ zZ(k&SYGOE^pD8h+wMG5X^C6{S)WHex;gy(E`%R>;uN zX+91D0}aeH^pI~jR$EP3>jp2}wCVyb#KPO6ojMaWzHm1qUHJA1A%b^;p9(Oqw|he7 zW=)ax-yC47i2B*C?hoJNu2Fs_g@WsoRyi$nFNoJg{aWvMjpPbo_39-Cu8U}&;=j76 z_Q*X&T1GNa58(Bci0*|aZajGezu|R*#l51!*Q}Q`1o~K)*Rwc*O73gUGU5+Lvd^FkLxP=-QJG zO2@As6I+V|RjaNKcN-Jo`vvTDOtvM+yX+m1OK=6J9Y3$WKIaeXuK(JPHbuZgxsLl( zF46F7%G37JJG6H-Q7Y`*7y%mL)uPYrqCrQ|Yg6x47+etB{UzaZ1jIzLg|+#F!mQz}&E^0g;*HXvt2b`pLO~IQ`>S z%4m?IEcZ4+@u|)_c*V&+5ZDf#=qfsZ?#X8gZ!6Tqz?jC_6K#HOa6WBBLNP}LOHw(d zX4jkmx9`hOzR)2-ONo%%gTW*)%Lq;#l1+p&cXT=%Uq&Il6xYQP^xW$h+#_G2`z=j_ zU9yvCj#l;~pWVAt@km#oJjO;U48HdZt#~4xl4tMYg5I6*2eEyV=A%eI#%h%@f6Y1> zI4!mgc%%K9eUd^RxkHIy{V>#$(J%rYpUgS>4e3V5o!sQ(ER6&U77GpeOGuYfTS4Nh zK@4QZ(KF=D#DlUDFi2=dz;y2xtC4v;ut(2aJEm&whE0op7tUv8g3h|zrS zNF}2Jnam?nLYIPwbJR!jd~$FA3^CAhW?9BSlwl5!@*$*esBrbBt%odDZu-$KX-6V7 zarJ)Nx0nLk4_Uf5>`RB=<9*C2W--urB_S{n{r`h{_)UKxy$)RW<6*PiN~%BvEGyk< z`m!etIf1a=bPLS@E3a7A@)#2IxINvx`W}7mi;N;cmqa*D!!D7NnG8v4N9@i}XMxx4 z9mhoe2EfAx%R2`rV~Ml%TGhnRArjQ4C~3D)n?qF(|9wVRU7+~y*TEQp*x`4E;Hh?a zi2i&8Bz3QG+t3FP@p)6I^=G0-7#vPuYL6d_1s-o_U)?*IP_%RYmNqjP1TTC$blE+V z@Q1~H#Bjd}JYRABI{f?M`>^=l1U_Gf-^1elI=rs?8S$9({Xs0uDSC@bosED;R1vwC ze9?ZyfB3QW?)CkP58`2?Sa821x{ppOmEgbQ>J6a@d*wxy(fooIghDW!?8rcIXztSSdIrro^h6dm3pv8cVyTW@ zs7}Oju<69yKJ#K*0`E9jrfEN+J|P|lynUQ?&(Z$4#_-Q-+rc6tuGrsrlE-OCFktg@ z)^mRVbg(@(`;_Mg5hjPKHiJTmILC38?x*3W^>Tz8)y@M$r2orT?$E{8-GS$juSxAk z*53bnz9vjq)|6xfocv2YskG!xFK`8m;s$e(KrCz~Zj zY@n3Wqr`v#>A(SP;ZQExPc_@S+LghN8Gd~xud18?5BDx+crNH+ocqg84Z_W}sn7B2mj^-xt_!hZ1`zP*iGSpXS9q0X>1i_`d4R}zU zhw}iAH#pulCjWgXwd4mkRqu^5zK?+u)Y;u{4kiHy{WKkk!Wp{O<(=HWp?Q!k;dhs_ zB4B&kS=DgwBygI-v;_Uki2Uo{_sH{Ozd!7|e*MGCEN_TEBcx>Ljh;7`*7bc`Nsz*4 zvXf&x78K5YpX}ny0i2&kLjs*1O``YHo{`1teDPpp@|^PUy;K4>ewd!Qr0Wp`6psy_ zGt~#fz8jBMw_C&zJRG~DcHaMsXkp zu1w4Y_rA1->DVW1572!ij>|Y-<)2!vGDi0}bszoem|V0mh8unL;Fw~UCH7Tc&FC5N;IM4acOwX>N z`@*3`Ie7F;+g(5U|wErpkPNj%>`%d z3p)b|UdHh_^W-%}d-HIDzj53@!1#?}XHF#C%DFR8V1W7&yBuS!csRjPb@&v`RpM zDTdbvLYH(83!wQo@oJL%D4HvHTH|B4?K#@d4;5XYD~<(gm0_OJXjH#))KEGhy%$x+ zoH*xv4`9+h_q-d``9kXM^fDeOz6CX=J~|{o^2sMg3sWhOO;t$IzUB?q!+)hIm%SnK zhRGQqg+sjLxrYYj5is}Q!nMlvXplWVGRSf>Gj)`a(4go=ijY5StD>g z241Ob-}p5e4JF&`wDl8_-kWWzb3)&^e2P{Pv-?3u5bQplSWE4Qoi2R-wO2d|BENcV z9!2^tk&kZIOd_8E;jAFzeoj=M|6Jirsf~xRh>>E=eF-4nZe{W6ND{cP-2KhYkqsXY zGxhH*GQjFyCS84n^znpW+%jdFLV3Gpa+73Cf~UU24kEJ|aO+(~xa}hnFb0HKW2|JL z>$rXC@Zm_}Y%0Bntt=Y=e)6?Ou`Z*!cii;CQ1pQ~*we)(md6kZqN{t;gQ;R5Ab-)X zia!oguJ5RKzUU6OMYEf>+>XGU#mesNjX3a0`%AMcf&~1k0x?cfaj?X8NcSam95hDG zKMWT~^|q~?ol+CJ7qPsXT5=KTh{ZoxOq@*sn~tG{y>jS2e*Xf$bXX+BM%D7#h(^Qd zS}}b`+atCq&OJjX)Bfy3x<$YmZVYcD3H4=Q@~`9 z2$j`!7p8KNj`K6eY(}~$_%rpM)p?&IoVjh^vBY`_=9aGAe-{}A>HD*ECC)y+Z#jlrBu^6Q9ceOv$XF@j`jy~kd z6B~~KEzT8A>b5utOE}afgr39d%dVe5?*YPn)s%T%;l!!pBoH#Ro&fU@f91iwOIR^w zpXG=5moU7(Q;m_5Jaj-86M1%an8iOBrbOoW{d#?g_)Hb_8%})e0h$G$by`q<@cT?{ zSscoQFrJgDH&I{3#k!||`+5dYiT&A5dL#w7KP>JehUY7;ON@VCT;~MehsF0M@cBCY z9v1J{;dR|&V#pm^=OTi`3B1ea52Kb7N+sfei>9xd<6$y%7kzT4 z*p22V|BI`;=VXHOt|tNimH|7@T~GK)kz-JT^iJPt?o{%Bh5Y;ei*p=j6aJ`6s0YMB zpP<5c#(t#B{9nFmM<$FiAGHB7x8K$5%S4bw} zd!bdzy0d3j<>0{KDv3vQBXCJ9Jr_x36#{`)EHk9 zykFiNBd1)2hbt38O1EQy*WFIPYYNqO2Y9#_{8QnE|Fd838w`p3a~VvY>!%HZ;FkX9 z)N4NA{`VR4J8m)@eh2Al;yk>o>cPO3J+bif{;+fzlLW@q z_B>EkBmpFEeVngkFvQ}|c5;>ZB0OuL`TOqr8MxxFU`vPUKOC2Fz8aTYcpdjG4$gcQ ze9a=y4xR^%L}_i}pxCN~btMVmU&OWK4+xLHwqscV_d=nW=BFn`0NUsMkFNvoajTBp zPX-OgJ^DufLf}EM)NLX}*?Qyw=UbF>Codvzq z#p87Pycmw>Ebpb?`k;P#lj>b|1(z5o=ByCRJmx|0GLFY0&y}0yb_NpsjpM$3l);GS zF{CeKU3=DYmIV8o1h>@2&7s)qnCgr`6ttdyZ#!n_3&WPetJ6XP1n(rDX1f|$Wol~$y?pt%|?zk7EwQ5W^t1U)Oy&Vd)yWt>+=GKjip@zw5s z%<3sbJ%HC&7dj6nQla@!oZs-e!DoKVc`VZf!|Q`XVr-1TVmUDX@Ig}=D@4h%;G1mPLGT;*&=3s5~8l%kM{utf75led-Siw{t-v zTk2-xDjC#MLZ)W8vSBGXKttps`hS0AYL?$chN1qqN6*-20GB&|wn7aV>0Ziyy^G=v z_a$PV@E4eHL33W3)dS`Y!T~cin9903#-wJYdDL4*k zCo*T6g}gtLg#v3RZf2-0!F&+%_`PP7kl zfIfkCOGBX$?lAKH6e>uEzfFxx$ws-5_wcYZT1^A5!=FTq7$cxARHH@ucp}11Cr9&O zroB-wPofA8itVsYM!I*t>LWDtayiI9)~Ini+K0b5w8HoxAQ80xw68yWj&u-)r94)e zB7tW2$;SB>Yj`9?d+xj#n!C;T?#D};4(=s#_n8L^pwicLyVw2#u!!O*Qs5=SHD+NA z!$Y=ETAJ)=C!I)~D!aZ6{X*}RN90{@sUh8B0WsmsolZ$WF_Xq;#%PQEl^-;D)>Z&! zJ3B33yeWmXU)fsEj#YxSIvedU+E*z)ASE`^o)1?lKD|1nTtn#eKB@LAxfhB0rV{=N zQjbc3fvIxqLvR)RAz3_s$W{(DEf&A7pFw%JNdNmmHJayq#Bc(B6+;d^(gt;{0ge2( z!&TEr7reS#qkb}rI6X~@g>2eNp<4RGP2nY7Y_G$>opw^Q6V zY6<)>y!A^f9_c*T_pCEZ6gGmN{Z~4t;V2+qG%L+4N(YI~u@Wb$a#)+t;>*}q3X=b} z=*N}{AcS+gV!s<1!h>U;txM%YDn0cmwJ*|RS$dk~T2>Cr2P{q-Nx1>vtGWGDrP%}y zN{3in{PQ4{z`HLmPUd9SmlJW2ZNSHW!mSMY)gGN~_PRmD72RJc4x2k=;Jbr%n`%k| zj6Yi|_^Fu&qgB}@nrN;ak8>PnAJjL#9zZ%f5zce#u#CVe)9xEr}n|Y#>X3?h%OnCVht-bTXXjiz9G-DCL z132E`c&pgkF#EZc43&~vsxoUiu)#SH`FXGuC_hqjUiL(Dv?7ZN=~0DnaJ4nOYzECG zpME#%5L*UG{hzirQ}l@Zd-VC0r!mrrk=(XpN{KBV$PC*h)*e>@ThY4b#p@;DGu0=S zf%NF>{~D-C(bfabPenpI3!Eg*RKIsd=9FRV!alIh>OHmx(*=v(C;Y11;`E>v1eZm`B|wcBs0T+M-5 zZv}eFW*ca%q}W^1SxMkB&Q}bp0f!Evy~v*`Iu0j|O|g639v^s5mVjKmwT4Xrnl}VE z@abJ8Buu<@c)yqdw`JHSCFaWrzV3F;d;Z$dl_yf7dCT2=v=fZ~$4{o^Xxc5v z4U<>Ny*toELiaN&{pTezk&h?Ax|j=;yUv{! zc1(doUgVc+2c!tzk;AT?p->D2Mc#k)Y{}Okeo(x)aXb>%vRZE~T}XwB?#BSrB4adP0{p42-Mpy1w@)@)>w=_qnp6AK^F2J4fk}V-pGPeEugS9BuyR&%dR6+VFl+G8mZm zS@DG@0@uZB>iTz6AxT?3E+F9?X608c6zl5_+vx(6-@Wk0BtGkZw|z_ks)!APK1v5~?khe{U(!J_tt+H6FcqCP|gw~V(`HcWeas`7ZEJySlvc>}cHawOGp|Dl;oI5p>F#`Go|GMN-q z6hB83=Y<~&yz6;d7=C6A1q6}xVqhy?bt&030lrfiDSbru-1lS?F|uR=MBc$jo{mUw zDO+*q-W`7sz!)^>Dn&59n7yL&qbUA48@OLLqQ0C=U)??3L|}Wu&3W}zB7D;B?l3F} zf%|NKj>nurd?cWAkQ>e6F~8P3?fxbS9@v_b$jHz0d*3q}6{L5>oa%9=DK8P?J-+*~ z0MY}_9@Mv?P6kEov-=ttNeEw?kBYXZgR~4J^Qk97*4;>*l6@g?x+h&!6zy*wmJ1!x ztdE1AES73I1&MI-z3vg#{A4hB9UIrUGZh#%EE+Ra!a#}9f6*9=0m-Uy?`-t*U)9lT zr=t!6oi8RwyP4tv9=GYqpL7HP55e){iOjH(G4r~V8u`L549>0}iiN;C%pBe5J;L?5 zq{0g{#}rexY2OeO3r+UL4%8;rp!II|Ntpy2;vCwSYIZct6s{;&kW2l8fQQPNhj+jg z*zX6vuLx>>p<*^7`~`+Tb7oO~Kk@|DnKkCK6%`#8O-M%eZ_r6?p}X< z(EiGQ{w>X}x2g=0Uz3~l_KjNP-h^fr?52ZH6s>q(?}{bUhRG zOS{zL%8_5BFZc4Y<9pQCpMKB1!^I9Z25sGsGYMF z$cD75nT~^HDGVD%fN;q7gRKVG>UJA{ePr=XFQhw z8+IwHNM^D^87U#k=CnyhR?5iE-g~dx-h1yANtC3L8_7(lv=oYlWL84*e4o$Lb^V_A z|K5Dx{C@YRtLu9n$9bLOIH2KmZQGh|EL2pU&Ce-M1IFs>5GT1&2QR@~*T59&WNslJ3Gcb$k)fkX}o18*D$v(Jbrr1mG` zc$a;6%x3FtI(`q}v#It8)F;bW$@WkBTZrGQdS8XF$%gU3J@SzI_~KR2r8nG_GlAw# zZC__;1){#{zk811?326o6pjzlVI*7?@|pjO*I3rDZo|7C;P^VPPB97f|Ngz-VE)6> zQi(ypvNYckkLtu&TwrnXh>MrCecc7eb^9EKM`Rn>u-vzz=6@#($EUMdC2xMC`K*I$ zih?CPB4cR>0i?3V)Ao^$vU2{Te61V;eRFFqT$ z(H_`0_xZ~skG+VAlze+FbCU7<-H{pNAg_RQ4ldhi3S5W;`i)xak~0}N4`6tM;cbY# zwA93EGElyM-YbWEASt)SvIa+zA$s8q?U}c_L>|$0s^%O5)Y7>`?!6oda(_Bgr%^uW zK=trMVVV;je}Oe0j`lhuf1QW>qh39Tg!in!zfH7dfvI4MM-z^;L7@4VMB0od0*-aa6f^WC z<2<}qp`33W{r&1A46nw0qC>t>V|%5|!r->WI5+JhZ(`&i>E)@7Ck**jHc=%f}w*1|Eror!CV>Rp_2`#AW|Hhw4Xqa`!`H ztAn9FEL@mh`#-)`VG~*9MDyimnMi}=wPPTqUo>`b5baC; z{;gl^Imd#%QSgNOzW+135FCdwKE(2a>k~q(M`C~4jJg@J0K?_6b^d1}KQdveyzk1gekK?p?){R8_THyG_HmA+ zfWEufVa;Pfa~xrXBw0-)EA0p7=lUdH1kFnGs$?Zxg=;0rnLd>ZLR@YcTmzL8S`2gMq5CSN4t=Su6_eCFd8 zMC^nUrEH3QXwUG#QSlno?;Wc;uf~YtR6Z#48D~412O^bKJn2FrKrA(WkFVY zC|QDkF31;nWJOt_|Bge`(`z3A7UsSO8Lp;5vtvpcJx2zdZDI~Si{_m~t*I`Sp}NRB zwRVB#msucx{wJUE_Z;Y$$W+fsLV7KZPj+4mA^p~GKjml|6G0{OV4v*qbht+UPVR|I z7UIc+X6hN4Kr`s}^V6|x7{96L{Ol_MgsUR%eVj@G0qdW}cbbrn{awC~*HM1NS9#yU z3(Z6Mg(Mx{U~_{{2~`^RXOzM0E>Cj4Ya;aacD{5KP6J9st<|`xBH*>=WbQ{k7CB_2 z)s~0Tfo9ESrefX|x<}W-$NKH@Gtpg<;?j3ZU=ay)5=XilV^-=yJk(xje*Ugxt9Br< zBXpi;hCTu0OLg44suOdQ^*g<`_>-)(`bK3;mx>00cj|#)98LWYJmKx$zM?FGoiVp zx=n@muM6Rf-$+E0lM@7*D~=mU5%9Ct_R8DC+NkgL%lUgRofonHbdbJCT^JFo-(Aw# z+sD`+N<0vEx8}Yc>T?+mNG+i`bL@Uj^3iKNXE7rRIi4i$L3_bu9J`r(B#|Dpa|)a3 zb|&zd%&E(v`blDHZOO_84Kbs`Fq*836`GFHSh?uA;_-_4!(z{i`AuND#F%~^rgMVr z!(w|A*nAz%K9v0%4T9PpIVR;Hud;=^KfHUCSa0QcumHaYDICo|nP!mQcD{zz3-3z&UOnVE zqRxc+V3Ql7S)at5;J)#r89L;b(t7v+FX`X=b==Xg6Lm*<%BNvQeKgmL#RV28F`4a6#`W$vu6sh7>y-z^ zV01INL9Cz<$EOmiOV>}kr$Onmd$mqj9K2z-Ji(0g8^%rx5`_Arpx&0kLc~7~n9i{h zcQK+m_P_WU>QKI_*c}FAwd@`2KjUDRRP7)qAU%N(@~g`Ye8h>voSCkt(A->$`kmoB z!JzyFa_`;=AxgUC=oO60f@=xQ*jP^?xTg5mMTv(JDT)GH%Z#(|`+e?A)z!U8*^nn; z-FN9wJbY#O&QTwL^nd>G0ERah-d2+%bbu2s&PI61*c4i z68j(4hM_$r!i}~Uo?l~NR?w|iYb77rr!U;_e-wbnpJU~&oxnhxi~*PJlHwayAVfAoSKcKLUVhkv{k&$pzo(x2P&~*8l)@p4~H>6#PWlm z+WMVe$&>-(L5%0jt5Rh;(O%fY(+2Il49+qydNuQKnEy4n)+mF%moJ$Q_1uhrM@u2aCj7iO@1!L$hPR@5vbzcDo>gw8V8V0F zKo!l;)}E=NZ=OSSw2?)ZBmPBrUi2vRZ9WaL6nyXI%-2bk;CYeks4;Ol1L;)!%LlOh zYEmQB*bC{XWBi8Y4F$vR-Q>L@iCBIhmfm&i9`cdBrqUgngZAJzt_II*;@AP@7cinqx7Pccp)rixAHe{qWb>7 z@9o_2<9pYTE(=9ug0zAW^23W+Q_^YA2FmcIYa2*U#qP)M!cyets%})1n`)Q=fu0my zRCd{LN3-rojdl3{{QIJcTEl#X=svtQ7tw4&{mXjkt9!SK!7n$u{lE-frH`@`++?8!>#&UUOftw;Utu(NJPGgWZPYQ)_M^);8(hQ@?% zB0aAw%ahW`7t_k{-fO<58=y>+HBS|(2cj|jR}w0#kk7+?Rqco>km|U-Id-xV-Zjq+ z$T`%*zJ2Sf54o%1;HUEWx?bcXG-zQ}R*{RJzFuOcV)em*ouvb$*SUEMK`Y%{=Ky^f zXzmyuA~isI@dj^QT#!D*!sA4S668ZP)Ou#76MetEoa1ViV59}b=ECa5*)kYP7`kHO zQvN~EU}UBDeeq&0)L!A4HZLy%Qg-Kyg6?I| zyZ`6SAkJ*4s#p{ZkV5@csRvEDzbfF!Wfq3fcPS9CC+>v-%8NA`{sv|9pgrv{|D-V^ zS1@xGZH&q)M$b2BbVN4;8e4akvK|&g&KKc}A;?c7)uAx>L=5T^zi4;1sJ8{)^9|Wq zhH3b@2M(78YotIrvucB;W+5m{=booQdgcNfV}%~4Er=pbzlVA~%78Mr>w%1JCCDFi zc{I3G15z3| zAm{h0+m5Xo?5xB)H+9P4rkKM0&czaVdE>cuz_ALDILY!Q>UaaBUi};sMx6?0$}@_h z>IpA@aM&R#4x`JOqUqbufudsuzgr;ZvvaI!}_ooeqebW zQ`C%F6jL*-%q<^{6(hi_#*r0UqYU8J7GYOGeU?|hzphJ)RKRfk=kp;a%D|?~T`L&P z5qxe|%|6jr1m3}qYvn%Xzy`@BjTDV)c&YnkqMlllOMeT$SB4Egcs)N=?;Z(9J4&IJTY!6LsBN z$)f4_J;!jCF`aErj;;s{Lc3?R`s499FM}Yc6Io|!ShR{A0Zv&)|=a` z1sh>&)&u%H#EA+KEM-2#GLY3OS&Jv0Az^-%3XF{P^{dH$nMj6~~>c7eIIu8PlT|F)=SBd;+J&%6~ z)x+cO-OX{mw`=L}NGHoF7WLIVc%t?RIMo3az2#R$JM?=yTH2I{is5}*!64P^8#q6e zNs@4k*yRC_QiXw69^`U1e)WM?%&Uk;(VRn@UIFj@}>Hh7wwgZ-hJgrGcf+F z`n;7@kLN|U%AhUE>PPM&h}k`Evi~J}B;32EZ+4nF7QPIWb*6qW+G+ld*m}ZOmTesX?qCNywP%+r}G5e{>Y4}^iY^N@3>yy z84lc45oG6@!okSXrD^Od+N1v0N6EC-9Ifzjzr5`Kdtw#Ix%zvKz)GHk5E14YNjAG-7@0Ts%VD+`abM5}nXH#{QJ8~xSf>h!XYjF&D({fP>@-> zXn$~DBzQd@+VjeOwKF1zFYQ76RVeB`yL{!@RidL3w_7u16!Ps^)rL#4(DIQl5QRSE(yo&s({YX~Q>f@k7^kZP$l0T8}`s?eW zo3W63Q}e-Vw?rV0DK>igBmvdWEQiD7sP6xTost>#DMOXH#eP3YK>CzbR@YMe@bf0z zh#AVfM8wV)bTNrpX#PcRaQjWfr2wc-){3H5@Pa-TiLZ3QLGVa9ZYg=i4+fszt`9lq z1*?=p=j3UWi9eFs%evkKK#ezp?i8x)y`yPKT5Ju0ZQ1j02cHGQk8Y(CFW%XLv~Bs# z`HleCQdUShfcC6My&lmdtNR1}d)dy7VjI|_;eBFEHVpip+H>|Vhl8S;>97lp|1}i(D*u!}FVXqIo|M6v`|7Zx1 zG05B0U5^5lfwEE7)8Wu#MSEj!R~QuDFF&Z$=n4kC$Lu$*1;IG4q^9SU5SS+0om3L! z0c*n7?nDOpfPeZ5dHc8$v}Aj`2}m$Pbl#YeuDmB)8osjo5K|D)F-_Izen)vo>XJ75 zuQ2%dChIQyAAgW#<;lC-+Jufj({H7W16>)L<6UJPN*^lwbh33wE(!*V^TRp7YOBHtcRF4CBeTpi7ZVr z3|P#I`1?eBV4Gl6km(f(JoJ{#7aV@bUr?L;wD`mcu=9++Kf@<$f9PQ>kjm9GB_?wX z#T?Z_J9q#7RJNxC>#VsGXShD`nw<}T*D<88B^q7u`+5C=)22lL@-c}qD(1)!gl{^W zzK-a=KcNca790*h^9Pcujnc8ueu{O)pn@96BD9&=cux_@JxI>pZPdc!mC{3jOYoTu z{=Aq!EaoGI`AuND#F%~^rgMVr!(w|A*nAy^A6UH(%j+m)U#6d|3<7sgP8Yk^p>SUL zHPt<}a40&#&-rIA92$NIs>CAw<0O-oRYH>&O!3tGdGj$C%1VcBvHTJz9zG<0T5uli zDIMBN=Vt9d)ZQze)y>F`Z{?&OM6KS6tt6|_tlAJH5f zcCSdDeR_6*)CYvlcYdVgmWK0FHNw3Y5RZd>OSykG zG#&7GO{$<>{;=o@DnEIY52x7S@Au)~?WY6%w(u*l>Eh`75IipMILVyTH2r%4$MuW4 z)2i+7qu`F*w9Zr2|M01hgUFbn?he|d2h%=Nd&Bdl7``mD&sQ*^HN(Z|2=PD3sC4)H z!ZEi_=f#Whc>EMz<5_IBb^-3V>-*zS9H}qVK50WbSUSnS{I6QPPuSgpAfakOy zykh5E;fQ&-_D3IkqK`wLjmAwSViw1k>k+$1u$yaQ^}Xvr^y#E|cF-{hzu(E!P}z_0 z!!)^|?q$6PxX8$4Oex3WJb>X1hPR*CncDkGW1zpnpjtlB9`q9(gnJA1?nkH6mB!D?xBU*P7it5-pD87>lK zvXgWK7#g7L3+(g-y**drZ3kmv&Njx)$OO&7{^O_UmATuIxn4l0%OSY(Q5OO=a%Sz3 zUKEBKVR~ux5iuSxlB)7~MmZFcslFzEQ;WcPcwYIsJmI!Cyb4T6sQG#T8raMaIjyRJ zm;i4N)o*8F;$%an^(}AM(A8n;p0p&EEicSm`~Pqm; zfk6FiY56Hh7|u`gMvDP^4h0bh_q(o!KmZgDhWUqX_&}l&++=67!*LknLo7dFbDml} zMK6K#AjWe>zniO0xq5;6ykE?Ci6s%^UyK(qo~6*aTBI2f4I3PGJRyc|L=4Y6-!{o;A>9cL zXZG(|t{^I@sIKSf4oP;!IV|f}0r;#Ildo;cW4se`pZ&;^n2|>Mqo(JdAXAK0h>{MRRx9e2nWa zW4?xrSom$a&9gxn2T{iCQf4U6D=9U~pCpX}^M_l_`o?JQOR6faqsJ8zi@*7wJQfVs zb~!aqky`%Gzdv|Nymc}-7K-#f@4DnifZzLK9V{Z_LDg~d>A0*h@y+DOqg(dYkXmVT zPU)Es@ubg)@{^(zu<#!7>FLaX%Ed>vJwK4ophNhFk=Arr6OkH|M14^E@eEaJfeg^0 zp7z}DkPZRqo$rdiApeB@eZxY3k^c#)Mml9l251d+q_iQu5zl09c9_iqF7rJ>o$rxv z;xYw6>NooSRIEF9z&s12bKf4gst}2v)hg1*><(EGu~XB4ByxK)9Mpavm0GBYhIre+ z;I@b1P^u^Lh)XLLq7QgIJ7gCFA<|Cdl8^mi=;za>NhL){9vHGF6^n*_XFP{{_NKxq z#djQfol)>Htu@L|DH>AUV<~O7yuiT0i4cSK-!zqsKFJOyK&zrq8uia8ICys4d+AfaDbk-Qy9x}AP7Mp|H&a;|*?4B{?n!h5~r?9BgWe0*{{R2kJ;4v8tCOkxMBK_IL1CP$2#MzSi>d zY3x4GTorItk|7+<7DQ(+?~a4!VcTDae|x~5iWQP&LL?|;hl?-r7(?pNka1F@9&vwx zX~WBs0Jv~mgW3)0ryMHMUDlXMhtEnv{eRIOnd0`N-S5%!S{ZHMu2r{zZ6y9W9j1n# z1dn%wz#tI_e$+CX+T;ORs%e7OpERKQbdtTSf)_FVQ0j@>>Vfe3wSt{?a~uSmr!F0-%>tx6wW<5U%l+X=j+FL84HXy+k(wB;7h9McQ;>YuElGX)Hk?mN*Wr zh!=0Skr*aX65tB|Zk{4xTi|>gU>=J0g~Q|0OL!N;p)j3`Y4@>YNH{2eR=i0LEa`NI zOl92hv(70mBaS2jLi{|w>^DSyX%yl2_8twu^E>aG{6L5aAiid!31;XB0eMmOl{$hS zem}oUM>DF$IuHfEJ1nJ`M#IiEvz8>ZXL*2f{IIV~49brwAHDdUj^@Fs?q^C#LNMj# zr5tW`V&A=8m&sMG;PI+UrO)(n6XE^8=Upjul6JTq2be!B<|BsrO<=mjn0_6mbAs)| zVtW%9eqeoAtX_xZbyCAwN*5H6-umrRA{99au&!)qQW75z1^#s7>Mr5%QPyGN*@zdg zzhYXkk4Jhb?NS0q6;(j_?#Dx|(n;|7o(c)|Sr1~%uM=9~ZRR)*GU&TldT6HMc(>~e z!GYsY5`GV~zCRqxKzhu&hRlto$kzwES7VOaI&qgG!Lvzy$v#F8!nPy-Ook#I&!K(4 z5`04Ndye6(8MG#pBE2Fm$)n3|$Nr1gQpeM+egS?!%C*qK^UfcCzbRA|{IZ|i;jlLK zAx`_~|Kj3boa}pCpr>}w8pm~m>-ny-Z_(cV9rkyzpZ~)rK1t0xm4tBcVW}ZkvGE7@ zg!>vag_)3$%}3Ei8wk3ReYVa1VNky3L>GPUfAPagr&`8E;||Bn*lF!3g5kmPw@8+V z49KGR8s#R-P26wNc4FdXC?tJ03y;2n>Y^?o906~9hxbNdEa$towJItX2~x!Z{}sFbhbJA(R87(WT* zHEO;m_<|yxs8(Sb`u?Th&ZQ2C#c@MUujpZNnh_0Ueo`BZq9rSwqSC>bIvNm~urd|>J` z@$HgoIL_A@bM;>$&LBO6;_Hr89#PQ8U%@JX=Atov5>>0eagscWD5Q6L^hQM_tilwV zgg_W1IOW`Wf_zjk9LD$%%MX4B{L%lit%vg<#&ZtO-noiA4hN>w4|s2Wyo&QL#)}xw zO6U{j-A-pf45?(@Yc($-hUZW6sde6YXM*56qv}DvXn1^sKWBnOpNR1?hR2U2RE+B- zZE*g^aKC_C^sKM|+Aj{Mv?8E>hV7~tz5YXgaCRAdu5cFB9X@L^pL}%{T!QW9k2)X2 zd52rjib2Rc5GqyVvc5piOYa5z>8$Uj`y^#)tU3O2dYh*$PTQHlmel~n(KJ?ol#2-$+iKtW^ zCg?s;_kyvutzG?&6?zkdqpgc}Yz$mHoHfj@P2VjI$v zTksb!3(!LT9wQ5n4{8!%#o^Wkmc9fSwt2W6aoy{G{(UMdzN7~~GC;!LKK?u#`uEoS zlydS(Ce+%lGL(Nf1}$Q%OrOjA!1zEVX@{OKk=sq6SY;mRoG6h$>nVmjgWVN8@<*RYKGiznnuMmPE>5WNAjW zh47-X-Q2LC2%@%kKe0sp+#Vx!I?gTRThZ{%xkbGQ(q{clt|7f}e_xWytoY+8|i0Bf~%zC&vYWD4y5 zxe=cVB>lJSTgNkCW~3r$8TnX*hP{6y&x&+sBrbOwC#9i0F(&&3@(-cY`k&VV9)Wrt@dgr z?C?``x6j3c#6+RTLkSCrCKoo_tO&=?3j-ok)!QM!eE#~6oV&>|K!1qB{9Ggi2v7?r zZ`u$8me1Akw`af)(}I*edU=qdXwbUEP>l4kv?7i2lHtzX2N?$?(7fU~s;IqAWuVse zBfJdh;HhM^T2%@YAZK4Qr!WcHQ_h+RD}P)B(k~xUMm@}f8NZy+rS5d#ik%YN=FEg* zYW=izqk-tX%Ko{x2{=1)KtKSZNSPTXAo;z=dVwrIN)%RxG z%jNJqR8>`&vk)4u*X-vyTMi4+!>Zk~5|C%m>~Ocq7@P(wlbcmT@px^fySMo&-4B0W z2cZLQi|qyAJjhgHz*h*EKP=`WhWSlky2O}%9j0@F?ZaYw6WDwm)`!LFby!~4pBnzl zxF5~aJsT!t@Im+Fv!AKidO^O9#`X#)T6o*&ciLOEBVIA|g@FsCpsfa{EZ zVyqbqV1%4cCaWX~$HBwbf=(9hj>qxt$#U{vwi5;TJcr3-OF>^+~_DjuAzM?sZfA6<-L*FO#aV!jGT75m!OTgm-ixYq8+bbu(gyOi~__i%H zAs69MY_wrma|w=5N`D?^ws9B2ObeaPXVVm<^S8$&&$%3~?HwmvRs1DMucZ0tK21OD$a*D5$FK=G5rQK>Q>V!hnD6!d38lcRUl z!+sNpJ9BFNo#1ZlM-f|dZRW_H<_9n(==-NJI&&TigxJ16j*N!~U zi9K}gGTK{X;MG>!g>;579>DMh!&}NKH9x5oG%xpJUHQU(sHV|G=?@>|?n& zZVXx7KhUv-bfW8SZm|eN!TlT6jwY9p&iy|gjvtJ8UibmwiToGQ4_U&**H%g0d(fWm zfK`go=v6x+MSe@G8_HiN6|OGUs2aeVj=?$pwjvytF}{+}y8#MlALNI@e&x(kAeP21 zN|)}<0<#Hzzl9&!uvbs#758j0Y|F9uSXrU@VaA30wZFMIU;E2R{V4TBI@nsqT4ekv zuOlnHXHr#)^Hcb&Au%A@n^;}ov_paFyiyU%ynoIl!zweJPIr#SaTw!6EI)|$qVpyl zkpzqfF`k<|_tr7eHxtNgRsQP7sp9;L@gl~v5)qo=EG1~aI@Mb=h-@E@=WL>L9Z$&6 zJR3ubG*e3kq-;@%I_?g|c^SiFO(3s zG<^+qi~#{ohOTKNGzai6FM1*{@zf-^3bJ)AIz8#j@w|vBefa8NL>`_GVEGj%>$=L% z#tNL@u)HC2Ihf0zGk}QY2fqds`v20Uz~zg#S+3|HJ?)daOs%L+7byPbV_`%(bi1Fe zo#)Ab`>Yqvtkh+JbGMSMyEp2CDa{7{Z7l)Enj^2p7z^QsBUueyWhP`i)wokhoeN)> zJJ-C9BK^9V8LD-ba7eCPUQ$m-bsUk9Z+hpGK+bo*`HXoQ*!@L16WNLQKHH}0@_x2i zgd-Ch(z#`cAeNroH-Nrlg5;Q2mpv08otN{TWK0Cm>RVFx-HU|lik1{?tJZ_Vbp2ox=j}o)1f;07KU{>pryiOv(}!d4W6@ zMw7oC&9+H{kC*q%$uy+HRQt%TP_F<~CgZETqAfxUV!dA^F_!@gKT@vn{>ldpdnbQO z=L}H(KzsGHbp}kXQ@fDYB*0cW{k_-#wCA6D-FjNN2$)~&P9Sh)L03vu+W>lhxq1Wa zWD&{m;6vH(?;L3`zj389`W%`cuFg_;fc9yae|6iQxR(P{OZA_|SM!lRL{zCDs{h<@ zdznD(j^6r!XGNdzQySZ>{q9Yj;GEyYs`MiP0Q(ftUg$YDiQzyt@ zNJVqu7fjSV(RVcb;g1?cd#p+y>6?qvVO6%pg3Bxx_=i4?(Mw)|y<8PXQ+J2p=RLQ> zrzh1=-Qhq+iM%-aZegM-FF?9zM+{<(2Uo0#ifm6POp!mwNSc((x0^Xoox-Yl;AA1l z3anUZ`Xs_2lh!_l_%vYao_arcs01?KKk2QJ&VY;aBG(fG&#}-knUNJKSj<% z_C);Dnmk3u(47UTuAGi4E9Z!8CsYSmqA%n5-L0*_5WcUr#Fe6Z>_;t7T{ex1S`F!q zWA}6P*L&h$<^YhXHi#LrO9x|>$_FbPW#BJhrFjAEf!nAwITn+Zftg{&>K{f4F#DXj z7_D&;+-kp{Qr-&0bV?KKSz%oR4rA^~ro`x;Pg}l! zLNG%u9ds^a7wnsf2ExKVn&zckNYT81Otwf5&M~m$*CQV@3QjEjP2?+`_d>YP$fF9sS4|BJ@4~KTLrm@0Usq2A!ymHEGSX4B=k!uX z%xD(r8veWI7|!x{&7H^>%!CN1_w*xZJ^_nY*>;C%4rX@@Lmth@nekv1c491w>?__}Z9-Zhz z*5x=qvG(Wo97VoCNq#ARP9oh1WeAzyJeQ5*MuR5_Y2%(qFkC-!dqXM;tdBX&L?VA} zjE4s(4JOzwr^AKEiBW^OLd2Nvczu@dqRS;8w_2)~a<4x(XN9lrdEz&CwEEC!c5<_)~WIRkktZ=2Qi*oc}996A~qfJW=_8vsg%a~ z7vn{YXS>4eUs9!(LF{m8`(9HOB8KM)wNewEdy1gMGSI#IHL8~-Jd|)}4ZwLB!{dt% zx?;u6Q8<5NxbH=<@NmC`^nKi12y4Id;e=kg6Dyw!oRg#B!Um}(lSk~Kg z{g#b~x2k&IT+YXWSf$^IL;~{3OZ5rAlo<_6dua6}-o-;nxQvwyEqYIs8`+&9M$otN z?heTY(&L-sEi*UGfuCbqPajgI0vpdkViwX9+rGcb7T{zDS?mYKDEvKv!~9%K8Pa+F zY(_1h|Caz=*Gg0g8Hr$cGr*>YeUEWPFSMvoX26Bi;e&mr z2=MHCJ?k$k}r1lgcU#%nhyderOd~Shk z{YeJEQDdK%$1|YDtY1X>ei{Uuw7Up6Jsv{03l1v&>SLz>=3<7c;f zLc!<9b|@eJf2VGLDR-4j0`%&%)pQFZeb)M!+_fgCEr|pmoPu=R* z2nRhuScvrDrNx6p@wJV0?aWm8rRS*UkM^Wq{yEI3hI~@zZk}45c1eQ^j@Ra2p!$x{ zt&jp&XS5gW^0aD_kPi#DA9v?m%7jSEtIT)5B*TgG=^`{mQP6$L3XEc+!M2KnRO($g zJgo>+$dW_87cJTe@~D4(SIW|u!WPx@#yX98GmsuUP8Mz78p{DJy(O1z^abX$FmCk|155wx`Sh&U`do&<$F9dj8o7JF=v9PaM6+Q z_6R7pp|vR#N`oIobqv>@BHeHudb<8_qzB9N(O|JA1s-kFUll<8t4sHp&3Dw$oV%T8 zg?(@eJU>G6Q&KSw%3i(L2wb!TpM`q|Oa6x7CzExmr%7cX9!gwVdQocj+BK2)bf(nB2_ z4JlxdS?Fg;gY=042$_0Ukl!RXh1`S3W3+<3-Um`JACpeZq70X__!j-R>w@OZsTY5nOz zrVIYODP=zS;(1wcDdrn(XiGM580@{3x!^=3Ay>({f#wu2e^|^%4D*}7bcr$jI!xyT z+lR&WCb0QBtPhLT>#)3zUDD~!9R;Mz)ps)5H#8bXqpgZ^P~F(qo3rKb34~K2t)bse z=fJaa8qar3cHm&*p&EtselQ$76jaUjIMWx$yK#A?dq*R4@OvQ2ArSP@DGONN=}7pY zd423&(YV?3hPGtFzWppy-8R86?(QlhHxmKwp9rr5kB8&;9K%`mz))f7_sO8rFTj^n z;e*F(wlr;Bb%-Q5uMpO52K@Jahtr!q&&r~GA_i@Ty09QTF0eRZHT1YkMDws1u5+14 zFu9YKLAvd^Q2D?d9G_^0j2!P=$p!DIiOPAD*V?zdeY_v(gHHA*E1lIseuwGw zL5cTalk|c;9zX8WJ|3Y7$S>x=-;+{$XiiQtW&A38A&AaxasQbYB<|VKil}Q#0iI`U zx$P4C#1B8Dwl38<5_f+zm$7Mef)|f#Z$E7>0aG`b*AE@th_`>0GVdNmIv4-$x8h;X zfM!Al@_$eqQ2v|(Y}#qk7SV|~4`6tM;jK%@(#p*nq0kb^qnqT6^tfcD{O`@BgPE6< zby>7M*cZl`vU;X~6CY1zqGAk`_mO|itU)H0! zEJl8X|8S!|wXlL%7y+s>@5XAr1;FjQG`aeB{^Q}v4ZGKOa*!VGCp}WyZgKc>f4=*b zGTQ%kkfU?)Lk^GcG%~u-JXS}mkkzJ`5zx@RF#d2S2ghZMueMa4-#N?coh3LDlw&-SoeKy#v z#2vkG+8Q?AI{j38m;gT(I#}I(qCrXUTvlPVAkI6YRoWS|Pt9P}Ad{rKG9OF>yGwYf z{ovh~lVXXi(Lk^l1L&MMp)h&u5=5gVM2mnvzIY2g{2ncZPFYxKr_b0L!o5 zmG^cqMi$}xhUE>DC2Dq_E>1)&KX^bL9{WB#0@N06sYf@X`2)+Z7brZCzl2M{>MNv+ zwtMoN`f=2k$`1A?7eadvZS4sKhmj2V4vRKX71b?gZjt66K=p*JEVYu`9;lyFSaR}j zLkx<;8qe`wQ^+>&pcvA11jk3s43g8Rf2#TX6$kR0u=#!Wfz3uZ&^q5(O3L;JOn>U_ z(TBuD#Ykv0CpEhAE*Q+Cdo!v~zv(rXcCr4Y5a7GD6y)u3(X0Jp0*~@8(`!EQglUts zx_8$4L~>`Yo-MRrLQ-#Ce9AQzcu#Had&Pt1QPa63j?2Zuy!GubeAR)Vw_ZH^av=nS z*bi}r?2826VzxJ%A5q`iay>6W6CggShy(7$!}W9aP1Yg_@Gy3f_5PkXu=r_{vK#ph z4PCv(^2aM4G`TBPHAa&l>L=C9vFT9!6zL(T=stD;?6l*&_V^M-B+v@E=#}+H!{A$+ zNY4cyNHAt|(3%THdM#f}CFvsJ$u3nRIX@?O-qAHm2){tQ9awJ@`w;0GP47H^5S9eo z9K3IzzKR1ep`=76hy|sS{CAk!BH;NNS)JqS6cF}uWI2U&V+Ak2c({~`<~@w>9wRUi zfQg~=ftgki*e5Qu4WT_7o*QR}=qbG6X!g*a)T~%IrdDWi_g5Uu?;_!26o@FV~vAM&s>UOw8t^HuY}Xb27L!?#*Zz}I)Rdt&pDoc8@MBJ zvi*G=0p<^ljDOSjfu|G{=aPJ*q2_z=@{^GWxG{5bl3d;!79)PR_r4W|)!(geA9Nu9 zz<;M^K>*L5N4cEY5cv9YWurnykeJ|A2GRUz-{2Pe{J2yih}@=} z`_PpF11%~)T23O}J$~~rHiH;A|4QtJ%V;_rf6zxi)`t9W^OIFFQ^O#dZo6=Y2l*cF zgs(Gkq{FM7S=Axa_a6>+Oj(p_&t1mx?op47 zTQbrQ#qL3TUsc2IL&>1_Z1uDxT>*Zt#*OA1=|q!2CXVsP?qFZ&lpTo;m-d9?S?^Ee z2?yi%9K+dp;p?VFX#RNUMAao>9!ET0shH#5N=D1Tt53W_&X)hZ-zm+CLRy6o_;_9@ zO@z@Cj|(hL>?FJ?#)Uj^Tz@~jb%QS^2Qq(I-xWu7cMP8*Ts~Q7StGseiQwEPiqUAk zI?-xWJp*J_rXEx>`Jj0=evcfqhn5$>X&b9=fyd8HqD0s1c^g=Ym#KC79)c9m%QIrp z{BYmVTOX*@n22NE9@{E@F%UhS-2a@{l;}(?by3)7KkF?cc<9hLobQ9?;xHb-@CL(MBa3^fExuk5 zKIG5oi+towpQ}<@aL2-@xU3A{MkmzQW$$JBL_l?|Lu<{|p+I}svigf@EO5sx6$SZO z;qmu3I$!GriVK;B*csJ3Xg^DYYw#(`8-7-DEleVRGY<+!?FYA_z=*rI=LXVq!T4!} zHn6If67d8nWlilnG?$*dU~vrPnHX;9b?u!x{x|^XpGoAeEd>ED)txth=FTx5KCG%6 za3KKsPKzxcNo}Hni_HF)dyxLst(Osro_goNZ(=iF&?O24==Vot6{Gp^sGqf7a;Z2j zV|?Xm{87`YC?4GYIIn;7)g{`NG;*u1#)IiojwdeRvGDShh$SvbF8dBYiFSv|Vn`a~>0a6Wyl_1&d7XcX0N zK5C70TVom1}BKz>rnAH4R& zGvt7}&+z1eAi_i4dM1^k4AA(^zMbxr384j&b2`XBf~YLU;WY0_tmjuQmsigLzGo-o ztfO<0U)9=?B>h~lh+^!NKzds4i6m>3t2warc{Hb_DGvnVR}4lgWAQWIX+*-yj2o~s z_q@F6vTPjWJ513Tt0#l2rF)u(aWwF5ePr2kP6DI#o90{0De(PSC65vj-FKPc7X!i) zpq-Z#F8L@K{O(W5hv{U4RMUh0&1!@rRSAp|yvfiic&kfI7WolN4^wmf$$-cFW{N6k zPVDi^+~K$6X}~V-{(9CQ`MLeD$$P_*0FCW$S-DU@Uc7qO0rK1^xV3XG;;dvET*`N; zxr63Lcac?`+3M2^`ZD^{U0hl$S*9%)1eg2#6Gtt-?C zV0}jK^{q}<@DHG-V3lj@T!~oNV0;?`Wz%zi!qE4)>Ik0-5$QPxH*is`N};`yr?<#5 zvSWbIeNopw#uAb{O?2frJn-{w=6&*$6fTh2!gA_G1oBtZU9ERa^@O$ba|P$6T!?(O zzXO6q;vl}3-DT1z9c*7$M1&$8$;MdTIN`1+n7#kX#-}kBrscgpU9QfBU8g-Yexmx! z+)S^dK%)$V);Ip4Da(w*`oeB5N|5eQ%$^aB4YKs z|3lh$zvcY??@OVCmWq@V+96tm9!W-_w3qhYbvN(U-QIgoC244&L8vaNL?uKjvWgH5 z4Mg?5KF8Pd`T7Iiez^|E;kb48ydLNIcwX1zJkM=i-z(h$+|kmOwx81rAyBl?7G;2Q zT8RD0B_e%za@GuPZ>1i1N5T55g{=b)`25Z#nlENC6q~^HWoN z;V?5&VVsQTL@McR{PQbA@&10_dlKiqimZ*%{A?6U*3UwX>;i_h#8^X1OB zc_crnHC(3fIfg>rQ@smIH8`j9b{8{SX)=i$y~3#55bIG3Mr40^C}}PS~^o`wp7*9N*c?>yA1_))}s`ih>^V16MUao=2!g^1!J> z=_D=_e5LOkE8jRD14(5rg_r8}VRPduXH}jU2)~}dGl0+WUU=;o>%~4Mj8#doSDSIZ zGbLKk_FNLl*ZJc1#YJ0iE{gG;50dvunckxiidPk9aXB0(d63|_oS}|&O>5%t9LzJ@XhAKKe+gbB zc-Bd+tj`?JzkFC}e)Zy=IU?{pM{u~p^=lRs?~UUedKCvXstQK;59Sdy4NH7a#iZbvD5LC$oO+DQ z1l8l9Xl1T`2=}2ivcq9(*J0mnZq4F+Wq)wI_p0mCRacZ~+r*KqpaD1kCOdrkdjgd6 z?QKOBY(e(YE3MH)57?2*d_%vCi}Z`{t#CSMSndR$&+u^<7_3c3E`OdqGY5g@U-90k|%e2CTw-z&h94ezeQxfByVJE_9J`mmeJ0`BlL^Lxq)> zQ5nB=eLz-h4aXN7Lpa=;ApU~W7Ov~vQMed=2z0O3bJ;(`I{6hzJ%jH7Kpm$YKDhZT z%n84;-zN|X(R#Pox{9qq=a1!|XFIjQ=#Ee6zMF24{`h`Q@=yu{Z^7zM z$9cG--VNuD{!9fsv#}q6Pw^a5`sJ#afLLI-@KtH^NjsQed6l30#sRdBZ;=Y2nZe_y zsbLeRB4KN9Q|aN5NZ@X0{3aol2s_o?c(Pc-U{{cW#R%?8lpOf(ncnw=qkcIDjiWul zwKD05^eFaa*>z&D$ixS9?SHk;6w)B4`V>o^VgUBn&U0bq!{>aPa|7y9BjCr%X{L!T+3iL zIpYhe{ZBH6{+fXw8mT^00mwHXZR?{M8W5}I?3VMBUNk5~@5c<8qkwgpZjBVqc@xg< zyv0^(2Ln&SlX-_RjvlujvUHAuNuJMAb35YTb(X1!@>;CZC{LJp_ZaKLVgDJo{A6&7 z{~2eZO&e{5!#dm2U z1Qxw2s5%ibaPq`grgKFpQ1`KhT~vw&)cC0bi)V2z$G^46OWgB=1-@7HoU+lvei!t= znJ?i#Usambb2pJQ6NdMh1x&QQ{($YP8JDjo%6 zF4vMFnqF2d$SMW8%;u8D@xAdc`Sc?VJi;IsUtRGo&#GnuTKTN&56}b zScgsI!xA}SMBW79OHBCJ5k4n`9+uEe5c74!JuGovNAz_;-0km6{^I#?m&rHF>!ZM` zBH?V#GVahHE3@wn!{@61a8P@5yJOU03L^0CoUW0e`pzhF9~cY1+@(5!?*la3Z|7HL zllw}2Q{Svs37-EciQN8gRJ}=D z52*Ju;Nr}N6k4*jH}>Bq@F}O3S;@2->#81H`CNwYkI(zl?mcx#1eSXz<*Dnu;Sc}O z=-bR#PuTb%xJ4)g5%puMEO+8gfH=~x7tqdRbq1C{>wdXJq(G5GzO5AfW^_nNRV83U z45*jbW(K5rqR6D&Y5`{>h@~dCaW%OCH9~ck)h!cdtZ$#9PdNy7JESs`dlJa~JribM z{(f~NwEEg4@4SIOr>36&WRexh0|ed>cq@HFeCKzH9U8M+f5HjBx6KuM8uw#8%SDOT zv#X7L;hpqEq#8tn$@He$_eW{a*!9YI)HV=SvZ7{S${G>%HyoaK0Gk?4=Vx zdrm(&Np}(J)<$$o4CrE^shWD|=PD~m)8(1=$M5q5KmDDLH7h=b-$Ng@?NPs#2yYvk zjoa~@5`h~IiUvRAdfj0AN+Ea7@v|`F^E&OpS3i=6vr9HBv+l*Y$jSZmhAslgFaCE0 zZ8#k&$6eM+>bgN@)3B&4&hfab$bBg-44EKNSwH?zy!l2qgY4S#q|T!j?9#UMp6A5TuJ+6q)lUahTvk zqCfa?Lh)8!s5!}l1kbUA%dTcG#C~g;aWcNgDJ1_Ayh!lue)op-d)U7sVoaer)8CiG zbMuAk8#GphK}V=<@LehmWL}aRs@-l(Py-Wv1dtJgv{w8pL#AZ>noyQG4XbvM0 z`O)y@`$+A*lMYCn>G9e+tn(~IVe}`u{o$=$fv#>8H_1C5wQ?KF-1X4P>!`(`D+!=n za(dvg^9dAx@}lj*5;urcdopp3&zJ0rzV|UYJnqkg7Zq0dS@+|~zNnk|Hcu?RMk&bmAligf}1_>Jfr+8l1b5zRFs`+|Iy_0m^xF6?eE!)@E~J<-m$w= zi1{App0G6+UN8#FwW-qJQERm~b0!U>B}EG8*2RO`>)m#e7Aat3k}bV`Pde-yQe22w z#QW!84p6D<2;XPyE1skHYh%MyGAOC@#0{Lrb6+-XzK3=t!5^WD(VUcU;C(t{_@V)y z+m5A04i?}%u;7VQ#Ws)s`Sa6eYu8BPxiZ#Mt#^-J%D^tRMd!B3W`O`LV*aZ1NqE5Z z;X@^Uf4dpEZrnf?g$CYtu%YKhZSsLad8l;y*u91fmd3-o6@wwvvUmcEZaV#HA zft1=+Gu~J?AhW*N*6?QxY*~AvTKqA7Pn+O2I)rsznJT3b<#aSyqAfbzo;-#gIV3ba zYs~;}fz&ly6bj(h)5~>%XR~m5;IpKac_pf4SseT#kX(cg|XpI9H`N{YWj(t{fOT z&KutKxd6OU%Xci6XX3dO<(#)7aezhH#zK4WJZIff}hr3S53!02kqDe z!yohnuXtYUvw^3ZI7_N=KFQAuwcete5;K)V$#?{(b|BxE& zY361N84ho`FKiDXSNEX+M_Iohxa#dQtLc~op~lxuZ{&qT*WFM}hEYdUKdtc67yo`g z-ZH8=VUPoE>Khb=J`}){xW)LWlQ=J-B-HCkcJhxJkwSB*~X!}(tO1!t%6 zzBar`zdq(f7WAZ1E19vL(ad3LWso%wcAO2(95F}*!6(!E?eMwjnWnwt#t(4L%mx`9 z7HRD3JeR>m#rmW32G7=fW5M&-|JDbV9P6`p;9Sh6KVpdMJldOoS8v^@33-0EW!jZP zDAE#bDBAQ8@OkTGR;Uvdzn>EO^Ws#GTEAy7OhiUL)lK-nx{bVf_G>W|(65UzdXf*E zDyAzxTZ=(jy)%HnhZU`BoGTO&HwB?J8BRl20?2y3dt*(%H=b7`zV9KSF2%fwJm9Wd zy+LF5MF_re_E?$#6%AH$MBEL|0i$#E!GTUV$CoMN^rp%b=rMC{di5q5b~db9=dvx4 z%!eiLgUFj8e2EGFI>P6K(8ChC31YsExQ8Xq>xjPYet+@qK8He}$ciVO3)g^=-Lds9 zM-oUJocr-Z>!3Q$kNt;tWpu6K{yd!+UO-1;%{C>gT7oEvE|mjFq2ukyjZTmiq`PoKm4rBrvCZr>F4=loYc zUuO<6>5BP7>e%e)D#KV1`@S~u|MIo9&$%2va#Iq8^%t9Ev!z4P;a!H=Tg@SN%kpS} zkQWjtdsBAsk3HOQVA^x9u>?Lnk)7Dq+Ij4M zku26yiS_#g4-j}m;H~cY4;IZF$uP#G_1H_tNr3kgmAh z{X8QR=aeh)Zu8ED$seWTC&x-iek$)PQkyVoC3XG2)g_RWD%6sT2mwR0S1Awv z#KMimy@?^I`D9`VX=e2lp&{1JTAT=nHN z{I8$?veWDhtymA;cWrI63y??e1{phNQ>+k2?f$olr;I>jZpWuc4>9Pu_{5F7*dBfk z99ZbyYl${ZoE*0P;)1&C`46PZ`J;?;lB>pFm?J%#ZI$e4Ua0ogCZDY{;r#rutVXTMoL2nIOSY8ccI!2v3&9~yWix6jumPbl}7lZmqFZeM<2={Eerk~ zxheMO(JTA<@nL6F;>B;Xk|Rg1H+4H}+9SMxSXY^5Q%mFxKr$drf2zm;SQ_M&=EaVq zKU;^h`CBzni$;uGE1M?3088iRG;<_l*41?>SPYimY({*~E#O{k9LJi`v*2=f6T8rA zOHke*-TEm+7uJ5Hi-_u_fP?MR4a z%j{9aORns_433D&$|B@@k~P}#BAz`h!wfd1^Z3W~;s4*Hye@a%9;#hSKVFJ60=-)I z)60(?V8y&fu*EcX~DJh9;~NU7g$}ssy`omAfs@@}a5EL3if*jp2e~b;+WW4Gadp3JvXc zg@^rDUtT%nh-Q0!=WaU_fU2T8Jr&+vKpFHIZ`joAQCeJOVxEX5y0OgAyY_+)5UcNO zny^x$F9gSh(U27t_E^oFiR`0*rN}mwXSN>DBKTT}Hs%Xab|;UA95n}V#Zw#i^_YY5 z9hDn9cbdU1-(tQC_+I?f9No5gZ&$c_Eo|=e_-W`!kT%<}Cm6V%1v?vm!n&-A5JBIL zP?*%5wEn>80o*F($@!{L&?j-~&iNa9U>UAHeQpT*?``AG*#CwCJc*ovf8Th*W*_q# zoNT`2x)7=TNoNxk&gl88W^j4Jr;76`fpWp*`CSb4cbe+cVCdeSd`PU54U!t?dP^Aq z5&QG}%tcnMsAvdQ`$~=az6;_9_eU$KI>17&|ARd|G*~}yfYqSF0m>up9F=epg~f*^ z?qBK5v5!sKszenVvR)ZAimKHQTOs26s-8RTzopp&7(0$6wG`wHQOPtpcecj8bLbngKp)f}`&K4OH0t60Pvey_cZwn*w?#)8P zYe4~Bav$7(o@R3VhZL%{7II&>768P)>N`>!o*5hnq5W%)broLtu-1c z&rXv2oWNPNr!1}W+#FAZO%s{RQFaY;cpb`1s~@agC0e$%!2*cbI#jOnnH z9q0$FX1l6p3hvyFM>kSFw%)pSj5A=r64Zb2^;NQsB>)6L|UJ*_waflF_#lld_!Ka=X{JvWSk?sY-3yf7wfZL zvFk9^8Cb%}BWL)gA9#@aTTElB^x~Wa41 zD;m15(e`WnfDg#Uah@>zpa+$6Img(iecemOIF4$%llxzqezj>7k9Y)C_YwslNT!dg%_~pPG!pfCSDQ1uc`11HD4xrf3m=;(^D!rJgN{-*(tceLMz&m`>D)3yhnwzS@KQ4+ zdH9@4=8$iu8@%shzT8~B3kk}fK&gT8Ff$anZTh+|_#g9Ozy8?_`o0cTzLlnc_?BYx zx(gm8E)#rZWxVCSnRE!&Q~$_exZ#G@YhTzsh4s3n3ud4GD!HKx>6#-~|LTC%bzuXCZi* zz~h=1rc9X~UO@0Sf%}0y>In^_Hi+%3Bh}@T4kYAqeN-x>AP*^nsyE$M5W&ivV%uR4 zdN1l2vdY*=-f=XNQy6b?Kr{OjoPVh+K=+@mMF~e-kdlS@qGta=G@x$fs&&GR?2Fzt z-DUlb=ZWlUm3ALUJqSc!bi9nybwP_l_5(zJCFh{1s-xsW@*B}NNOnEbdE@R0M1MdP z)%}=B!8{VQ`Q>!64@9W$QV!(xhb_!8+0I-l(A2U|c$VH5w6`r=xZpg14AuRO%HqB# zxVIzhYH~7Acna)~8Ye@Mkn!$6>JdPRis58?7z)R@rB`$Rc0_BJw}-_ZHN?;L-S}4? z6L1iEWXKlhj`KE6^5t8oFek>jTpxt}D*okmOFwOpTW974gPnIK&#;@q>SKRZWb?d% zrT60YG!Y6!JX8?-^nd#1{%r?0M$zE(y#9-gI9EX}SjA=YN37%cA3y*42EzhAJP&%b z=Is3G{t!4l&=dRNdk_p5o9JI3Fo1<)z8c@QIzUL2-`bYPtB~zC_n_NDAz*&3if1eK zwYb}zlwP4^0mFaK)PKv3!oD6KsM0weKoL&))@f`5+07P**Od9f8lP93K`%0(YX8q~ zf3dDh_NJYzJYxhj2wXi;`vd!INSpm>K96$?Hfa3t&qxMKgJWL~---bGgJIi}+p&&7 z^0UaMh5&NC7qnyZLCoL8I=kt5#VW%XlcV16Jxs%P_= zUx|Q$7jJ}bQcpraqE21Jl^yUS{Iv75YYZ@~-gKVJJrO#xKAq0r5d){U98G+Z7X_AK z7gs$5zDWZl3jNCS2=Lz5g~m2~HmD>M4^?g22`tu0;uMu!;HAU+E5a zNNyU9>*%!yIRTGg3U?f=>#XL@?vI7WMV14thFHJ&B~3VfItq#yP4zEhorC8Fjj5tH zROn9ny<_aAFWjCvf7;RV@)Mq)}pn;g&j=t-7E@;%c?v_&|6UyRSKRR3=2E;1WoiXdWB@Fhozbw1* zA`X^AzB|6b_lstSO84gv+X9mjM?X(*A{=ts+&GsU2hSR`K3>7|iB8Uw@yF6bVb-Uj zevNzrOuy-p$XO86I?BOdaNPCI%;ofHL_O$Sd zggrF@TWO#1{Ys&H(>lut_|h$%>V*Ahb`HPirZ2*N4gc_i$cH6z#E85J!k3uvuOoa; z2t6#Jn;_=vh^S2P@9j-3SkLMFifp+E)$l!*i6xK6o^~b(6qE zG@Kpy^W4L}kla^6KiT6nu+ICQ%eRXge>ceD58gic_rHBk;B5USp5a1K z7cky`pw%JYiL6(_@Z6+K87m~srK-(?bRNN6Kk(iCGh!$ajEMSq#JhM=)K&&Rs}Z zw(&H}p#=E+QZCP;4Bv0l!Vg70G6M0o3pa*cDd6(pnED1;K4sxt*SCsseDspxFfCL}O+I9ei28ePkz_nv z-~u9tcMf$hsK8TG16vikWI!=&%by=%-GLOl(yuWO*jdB*!qy^_vYgF$WhFdBXeV(I&1RrZ~^s)8x}q5Xr-x&oV0wBxB(|v;R=^ z!cO#4sZeY+zAsso+Os9C*$u9^Yl$}D{D%G9Kh2(cc|#tQTS}?p{IGwxOz@TPu}e0C zhf=|eU2XR*MlWQvFkJFhD-9NB#l{S+{6X~xZ^ix5WRNKr2v3)ZfVjfN_41$6NWT8` zn~_2lOar8QCKz(5Qp3!!HOm8Jwa-EF2G!cM)pOqRp(XGujE0|P^svdBPnEGG_K#T zY!>ZL_5(zJbv&=Sk5ZdS@*B}N++xa(_m0;g`+~gEiL8M0?$GmXpT)l0G{~Cjx_Pt~ z>%$jg_Fln1*U$6cOR1R8UvIva`lvM-mS+10r$Un8u(ipRnwPlV4Md~^3TU9Tk4NQq zQ4mZ@Y;YM;iiQ0Wdw1&|!v2WmoEN3+sPMHTvW@l?>-F0Ox$e7$fK5p$-+B2^7+tq; zlwBB$OU;s*z%e&3W#_6P0N&ifzsp99J# z(`|d`52D3-yCa8#Z6N1Nxe5KMqyO{ghc2I!33A7IKBb-2Nfy44bJfvA7SE||HL&*) z*lmseo>)8YmBI~j9!Jz|!@STV<>0^f^s(+E)I(nXZ9Kdk>H7ZME*bXivhLoEeO_FL z$2@DXUVf{P>`i5A3Meu@AK}LL@%CT5ybDW0fFb?l_cYl^BzfN5-s(jx1bJ4gGrdiM zZ=cU)Dq;WU$rhccojO=o-@(cwI1mT?Ybq4?Vx8e&lFb&j?cU^?XUA*PtL2S|b;f*&$dmEFKDc&I-R6B@?atqGtMPni))C>OeyjX|&c(e*8S9#;uRq*XG1Y*L z>aRm}_BaE~DcKL=oUWsT49?}1cCgSWUZqjv0yO48u5kfPlqSr7p8K69>}nKh-@9M} zbC=(5RWvgOjzamEG(js=efDs27S@q5kIx$TIYhuNdU2aEzCg&Rr7qIu-Jqm2yea50 z75d)##T@COfSdJ~M{KE1;L~RB&bzc4-}`>_3&nFKnk$YjBDegYbCXZ1)UHqv_dTb# z^$ZPIC6fK`Vn4RK_cz{OTXhoqO*M}Uo-~KCAbp4MSqdnvtBV*m)qzuYn|r;HJA68} zFvJ$5gQDZrhHuW>plSVWliYgy&@0PNuR4@MV6|P~K?D+ED@q|DrN(=#AM`+58Fi4&;jHAlKap&vAfYpq|#?_C>> zn7e{sd7|G2)@4#udz8B%XEM#ljh;KIZC{GjhPIQZx%r|4P`9puzVj^yaCWfy?N=%b zIuu)`?Dr0k`P8gU&e$CdJ-v73Yoj%}W`=rm^qL((l&^JqCq4xr-)<3g(X(NQ=!;qD?dWpWC8!YPwU-AjJBll;yH%G?C9T8}|g%+1)Ed_i+1`oWY(V$FOBC7qX z3it*;(x=^|fz-nI3CRR`*n7d^n9PhBI$m~8;ede-BI-5!(*Etj-QMK)-D?|IA$`dS zLcH>)2JxKej#UrPRCojmvY)P46Mq7=p8B~vWh2gcY7{6^D)fhqOV9H~e1==kuw_L# z<+_9J0hX7lQdAN@=o=P6K@C6`r6U2NSF^@u=*Aefx z1P*ct(XWZCP9yQoWS}bCamojXeXzQwGH&`2&h^{(Wv9q7FLGan8VZKZ2}q$cT*++= zL-;-4EBk}QfFH!&eEc(S+JoHZ1kP&De*2OU6Au}S^HE>iC}h2wgkMX{Q4a#UZ~o?H z@f7m;3Lmsn+4SxlvQF?>N>K?X>w>5g{mrv`Qfp2i0@n{0-?Kma-V&NOf0EgDH=M+$ zN~fk0^>k-c%+`=ZJtqcVDvjBgIl`fwt1`I2!x75jEstl|y2H8N^%Iq`IIs6#{j5Ke zee08~8$4Q-`el&I4ZdZ4;7E51hBKc7Q>&TSP@$k+MZh^ZFe-ibkq+yPIwNl@9eM4C z6fOD-;+|TeGWyrXH9|Nq#>g*s$dQ6%c67Z}>r*24x5}o^)x+vksB}ntrI%=j+<(2Z zXAe&%d4Rwh0&gRK^X+yvPK96X5*Ie8X`{^)AdA_ z(*{5j+8L=O9|t$(*&lSj4hDjsdZ)e4>IjIV6PxRE&NcX;wsFDm0AUXxaKqx6b#?A{ zBcN=x(^B#F1?9Zvk_RiHBoDu_VC2d@Yy$JtEh+O^`;b+(&kJua8e;F9cG#j2jG`B* zRZO;~P)cJG6_TT(pWGLz52Wo$TqgKxnZ9gAvDX6ex-h?gT^a~SX3RJDMmnMa)kO9eq-GPq6Zg#exl z{l`yKc81Ujhgf8C-z!&mCJ18BkKrUBXPB|fSlhyHL*g*WhyVHmr6W?QXV03EJV@{y zs}gpLA2kLh)Klqn-kaoKf)@#%ty4L}Y>)HezOG(>y~UD-2t2=VcKT{jP8_WD8Js`! z!viv!RTrBE{Sm>-1Rh^VvNBS^`8))F6S%K6^!ZEL{t$f46dqS98VcImsVVFIX~1)& zneXE>J=m@+daGI45VfQ>*gw!>A$ce0y$b*E>p+l{do8%K90pcubOj$iV1MKD^Z}Ba z++j1D0`GV1BSG{M7mjwi#Ie(|H9Jz~gvo4f=xPL1NbVt{pQDVkA6W^lW=RMNF(C_axVLY$Vb-jVZ z7{5oFNV{`=7fyy^^HX0tv3`eF=21{v8rI>B1zwE~OMwg-X{DsDI5_ZA(jY`37JgVB z*BQt2H4idhWiA}T^Zg6*mRp_iyq$W=5jRsic%n3OB;ctr&>qfky}9iTvy|GGRl$b; z^XDrSaCOC8#C{X3t8ejXN5F)r_~1O&hbt|o`|-8gqi0ZfSjzl7_$J=%vgZv#x8wd) zM!!e_AB`r}oBo*~_KZ1MOEU{DHcf>b4^0P}fp>6dM<##=?T6BZ>VB zcuMa6u+M@zouJ??}o2g7$h)r zHfu=5fp@lsq`?k6ZxEjmHd7i5MLScE-&fWJlPaU69{m0_no+bsy!0vo>kyzTQ+ zE&;gj>+(fmAGn)osN4H})ZUce2G3t&YL-5;^SIMlLYnK9ED zexD2C?b6%Da#A@w;Xy;&UCg z;rnvCUEqF4X6~(i8>q?ERs4?qPUlSxZ;r8r!yWO-;`A9;^fsuxxBsphus{E4SR&*D zX-mSLrWsUdHG4CKc>yKuW$g9s4uoXwv~J@y6e!A+z9+~M0UH~r+uURwQHX3u!j(Wd zay6jud|K<|3J-!LBl*9Epr;o@zwl*8lKq|2oBM({pGG0^tQibvXtDpC9XO zyK0UCDUpg#J|y^+hi}50`$w*{sk8Qu{y+v zh3~Qd?Sp&{-rtX1Vxi8J%hTd{BDt^f?)ZCjdwM{*XN;ZIF>}PST}9gCGxpVR^Iv~* zXArs137l<|u;w~xmJSS&^rI8Ug2;M}d04kp#f#_1_rJ5ek#`Ic&zJA?``5H5I?$oS zUK>#tN7e;VC#v<&o`>I5BXRwEfw;RR*7c;8>AiSTkV@iH<%UT3zt733pf9Nxv4>%= znBbVeEQgw@Jyah<^sajE*x ztLId-_ZQb`{TXj^e=9$c>-4-E0~Tqk|9mSDL~k#Z7vvNzf&EXMhr-Rb`JlJW`?j>Gd&0`98mY+J_*`E0!)or#D@4?Q3DIF!nq`TAMg)1ep>WQc1AcuQ=8Dn4o-X@aqKB>y>RZpKOUxy zsRd|@;as{duDkwX2a!}*h{ygB3Zmbo^int^46TU}xbmgJ8~Q>Q0xKK>k<@pw)4m`dP!1h`CJI3F+%ik@6vEH8Gr=4`Q+G1(RXi?CjMw|_wo7s!X z?WBEho> zyk{PnZNNUQpU)XT?g>Q%o;PfMPbZ~<=jq2*iZ0#@1;(u7kqUHFMDQ|!#|vNEj5=Ag z5y9UC?t5ALwEwD$gr5IU@b-v}>%|hBC#m`ObAMejxcl69{lgIr)RHPHJAX3yp1R9dif8lfXt21s zsm>YmQkci&&+~7v?)#DTdMei0i3N4U{3g%yv~BH)VHH@8pN2W2zoB(hcw zgunN?Y|^~VfK}z-X{RtXI5(@7wjtXc%;lea=Th;)V(J~kb9PjT;9UqB@;-b!nzqI0^ zcF~@J3Fl^s-btERNQehV=XJGDumFi2a|`z2TihYeu0P9fHFIN-~YEB zj(=e*BjbjMl_gX95QDr2sAh6**mleZekZKxe#ZFF-?6<;nk58=)Ssx=SJ|DkL8~nm}66C#o zb$Mo7AaUn=%FU}3xT;}SFaF2{GK+>RE{^O%ixao)?qGcBu|FE!CK3T#KALSlBZYnX z8zX9W;Gd`Q)t8g)8)zVs7!~yNwm;k(lPciN@q+mE{Da-f`p{OE7yg2o0)wODYGq6Q zFf#KYD#arVo>m>Z-pv;Rl7$c46>#25xz9MqRVg!Q*V>>H?dc900eRdO0e&##y?1)3 z-4cq;b}@d8ra+72<;Qf9%1Fq*lfP-VDQY}CzQi_T1am!u$F&aNbEn_mXVmKw;nM5A zQ~TOOU^uq#?3>si*cZP_bFHxjaEAW}oVJ`^#*pd|-Qp z^RbXzM5YB~(&w*g{N)MbVKX($Eg>X++m+hQ8v;5O zt*%BDq2#`zucEX~9kv8M{n0wbt;UGbxZU(J@&%sC4flRHc$52_z}cdJGVSWyIJd7< zD#6CbgRIwsf#N>{Jg9K$<^~Oo-TH`lzI(5h^4?po3|pB_FFqa#CF_Eyll#G8n}a9z zlDMAl6MLXn+z;$q7kCpnqey&m^kFa3GF{PfYPV#*^FEEm8~JQNG53dwF>7 zlGxu)^xYq8-v`5Kju78_Gwkr|cdy(XN)pKf1l|yMdmlZy-qw%|r&NUPt97m@>Dj<14iy`)6Rdx_D*)%me|0h83yTE`cT?ZSDNnNgvhs{r=wke! z-?e*Pd1Vm1uAN`Ul@mu z3cXjz`QE|kfn1N>_`qZ3hs0U$vm0%40kgP|{EqJ^$b0<7>liz45|;_S`h4c{?R}5s zVW=aE`C+pUO!r4Uh?i49JBlONqrXK%XVHP@US7dqO+C3+KTQvI#PE#vXK9dp9X7J5 zs0!x@lxE#I>K7Ualv8J%`XxO{e)|5E@vqPJNVIP5Lh~Q`KmgyXyEopYKyRfr_vAHu z5{C&sB>IEj^(qJQ6pTq8BzR71=j(*$Y)-J&Ilc3oq&vyK1TPXiYw=8Z`9xSKNDQ4G z(SA%t1fJ&=WL+}677rs(XsDIo1CO?Erelt#AcB_(JXW50az~+02NC>D;Qoh78=cmy z5U3N`wYG{94(5BWzl)Kf!nSSd7sKRjp}7P!PaAMRZIHfY(Plo9cW!A+Ej)Mj$3BOb ztIGAGVLV)--Ne8T=TV*e!@KAP3L($-7vnyf=!*pCs-N@irNOfr8>3)qG}#xu7icZ% zW=bUc0iwV9Y4xuE&z^9S--y1U(wgrkvmF%?eL+}BYW`(B|5DcYJZ{HxtWQf_cR(X6 z9VS24Nj!R)3Ko~{vu?0U2mXD6pFKpgfVh9CT8VADv8xz5m&X08GA_afkFZ&%9oW~p zxyo<7AkLHghjZJVPw|exbab>E0ECR3r zxUB0`A|%G^-rx7gE&AAKA!^FwSfin z4+DVxeQI=9qBpv(S2<>H% z!uT#7g7-%po5J}nx%u`t-RUlaGdEC;gq_e;Czs}+d-&9kLQ}q z3kFXOrGuoP&0n+07^oc_U0s8HG`OZq-7j#aL!{^9Jr7UNps0flUz#Z)j^$ZZy$4u7 z%3o4O*IkMwaE|voLUl!jhCy7;1XA>NdV4= zR6p=Qc!OOk2(`@1j6Y3+3L(pRpSfhX!Wz!q8y^F5S6YvJpk%>(WQ7g;uWT?2Ohf+j z1@NZvl=GcG_~prWQ~sTH5)ADb`@V5qDx}qXVAzfG@77QX!?~`c!)q%x zaqm^x*k8cS-xTLz`~Hoe^H)uS{DIzv~o5`o!3v(Pj=2aaFynWd*?zz^|fqJB6}+Q^>u$#;EQ z$oh3<9nMA$z0i1G4B;#9=31cuc86&w?5ilo zzWD2@3iixsa<`C*3Z7HXw^qp&^9~^E_1uFeW%PKCp7_2Kp88dv{^ntSq2=}Nau?xK zRL5~WXFs%Ekm=t3mK^9l_2b1G`8@ckZT;RYI|X<+N7hdq$L~G6f*FsBCBo#OOjhRA zOC)}@$5mQ5V86%@wZ-wWj-?Rw{s6j<9{ zLJv#mCW!eu0tbonIs)$|3SaqM+sJVln0fl=SYN2=ly@ZqT*PKIbmT&vl9ZB0CgvkA%!S4NTbbFb#* z+v(3#Nb7q$Vm=THGn$P~23S9<@$p^@d!Q6LCT0`&dq+ALCvLuzR$>ZQ)RCBM1qB5f zhHtI<>i~bm{;2DXl)$U3ir>sie(0rqnAA~&d~$yWt8p+b4CX*0`>+zdGtTv<`#sRn zo=Nfmfj0!+Mq4D{^ZX>Rv8LbnMJWY%zn2W3SImYiuA%}5Jb!WBdRj1IE)7oo`u!(t z1^Zc4wttIm&jm5Tb(uT%I+OKhUSgrula~OQ8)9|71;@aV`o|o(KQDqLd#I9ZVJ6P) zZdqwB%!bjVoDts95|W=zoXunD!2Ut$E=@aAO_L$@XvNnA_B;|d7$TN)%5hGDc-ERA z7VQ|&?B(}GWSfN6@Ny=k5GQn5pqpBJsk~5%Vn@o1l2Qw&mPvS{ib@?EsbZp8nE*YeCD(@_~;eY>+pOSXV zRUCOvL8V(?l>c8|y8#k0vVBn}gNNc0C%Q>o?)>gGW3Ai;CXeAcCF zui^8o)&nfUSwQkH!HWdXI{p%J^x9nl8oCGK^Mm?Z2|RxjVHSARtPoP%1n!r`rbBgx zy6`XTS4{9SfyV>Pf1W(J5=HVif%~nup1ZPprUKuW>Jr-90$5X19y%=V4xg)1jK%Hn z{M3q)V;|1p72~2yN%55;d8eh`U!fe&FBd*iZn@xj3FxAagd~QCfbYFqIcK9{fjNLS zTY>XUh`wlHKvzL6vJ~DkUbU6-EhhUS|0XdbS-BjtA0YZG-X!D{a<_!!H==KNI%*d$ zyX=REzF<%G+ux6lUqEvTCfiNkIwN{3&6N5<4`lKzh3T?k5Mp&$ML+4{iGp}V+SxV- zkn=@*m>lOOW<1bw{l2TcZO&-N74y5F&FvB0)ULH$XT8aD3@L|7H@RI_DD;c*j?V2A zwDW~$$;5LvB(D)TBwy=}_B;QL?lJU1TklE;w7+yi@02z7R{FXl?Y|6cXQ-aY*X2WQ zf}1_!DvKDapSDNm#psUCl>zEE@_gdrDhd>1@1v9J4ABauuiceJ;D7#n-4S<-wF}Nj zGWJ;r&uu%Tm>n(fJKG&`wZsPq)@eex1hbCcGeB}NeNWN24J=F?2^_HWKztiqx0bH= zMQm5=%lo(ZBAv&dy~AxiQAc}urn{Uk>bf^_=vF`g+Rj;TO8?0h)tKvMwFtYRZ9Bj4 z>R03Qe?@(^;aVT0xRq=E4hQ}{bMd?^J%aD~9`BXfHbg=C4EmZqt9?+);QY9bnIBR( zzwN6`wFS8b*%bG6{krwZb%(d; z9!bIHO&x5pYU0*N>(^$5y@FG%`Q2kfVbl6(dXKSr>wp8Y&^gn%b>ITpmU*r%@QxW; zW1s&~c;*x|p8j*&xmXFMH&wd#rm3QLb9oX^wrQj04JixZ+qEGs=dRq-I5(tnXv##V zz#ZLpIUOET;dxf^O7hR{THGzB``F|9ih7p-o7lj6zXXCG(J(y~*Bt z@4ffldvDp5k>o~bD3yk2s7O{33Ps=N@9}Wo@8AEQ_dm~n-jCO#+kMV;o%=k`xh|hM zC(QEVqNbgkEyi{A?BTJS;@BC+6RT{~*Rk{Uk8+EAEU@lZKJT*Im9P^tW4GUDnqyZF zO^N^fE&{%XB4S8tv|+8)WGCbF5l}j8-qq>tjGdhEe62hmh|Qgk3cupzj8R6LG1HYe zV|33ZD><@Nu{*P!y4WA2@4I~p8_{cv7?=V>OnB@*b4}2u;xJxX(uZiLQ%!+K?BMJi z3IFXjX^`7uD6LsVe>Xd`lk2jUm`<8P;aOohEKf8`)PhqIWKO7k=@2!?1|ReD+(IXJ zY+m5TR|^Pw3$gcl^J)9DDn|A9L0rITC-_cUrz*j3f;l}&-&Z3n zffbeSoO&Z`j2Y73miydp1fy#m!b|O%#M!YfB!7*SA4Y%4$ZE&ifn&*e87Ovx9ozp| zf8~1{^~?pVp9(37XP985OXS((Oz6FD$0t4Axq}VY(fzk@e6-qrGi*9U>?>QbHAY>{ z;dXdqRqWq~hLcC~t+9LDwF;&z^WB}|Hs)XG)Zy3k?_UO$vViAnQ9pLw!PkU%UQ(89 zz360hjECa09Yd)b=CefZM?38fS900E(?$t_vrV^26xug8%8AyHv#`WoT-9r_bP>TM zmM@dXKh?!{d`Mz3I$}xShk051mD@_b*xB{xc`m%hScZ=4(mn$_tb#Y*T0|WE{@DZE zXrc$h{b6xGIoxl8(5K$kF~oIF@V#h!ZvvmM!|!47ejQ%l<8dJ3_3nznHD^qwp8DA2 zh9wbK0{x?}McIXcFE**E)&5nhlQ577Zm1uV5e$UW>vdQF+Be&!(A^36xm@&>raY{ z%o(%fJNcMumkahO>)`qx5)n-EEUkG`v@dp{X<2rrWp! z)V_H#Cuwhr;kfZKTdXScz6$m+QGSnLx*f*(X|3YJB}amXv$_@@`Lpq317|K(g(-jU z&Zt^GsGaT#U-$Ycoj-%-E*5Sbw0S9yE$S({hB8@$!kM?fi@mf7T*mn-ft=H0FTEc8 z`Za6*JJ1UIuCCC;@>>`7(SK7DoA$=ee0A_IT(-v6tXisW3>?L@>oY8zA1VRP*9+}V zzOgYv*iGR#w2P?kd2G@)UFNFi3ljVG zSq1$)a6Ff>{+{`a+Y4KBSoYZe(iD@C<#-`_*#U4~#_{-xg!UcPQ60ef8^?XgsQb(F z70#G@<4uzhDhDjJD~|K?eLF1kWmuqQgbX&LbY!TT>@tu%U)SX{Tu?ExJXiHxGIfb&=HdkSARZ#@P4$w88$p|J6lq zuU@vS&ZGY9c0GXCS32f?`lH&m1i#^R!%v6Q?^SzHe{j1#APa6b(nLC{Q;$el%VJYt z%%*qZA@a4`m%@y!o!1z&3`sL~;H7_uj2vjCqLzIEVJ5m!wyQmo;ZO5a@w=f~7n zE(&MB5chNb6r|UJ-%CUrQ4Ue}1VgFv)7DCXc*rR{C`*t0$=~0}{X<=t289{=cXg># z0H*bo&aI??;F!cIhvYO!m(Af2aZdr}F^b01l*v#wJ#=R0i6ppVLH+1&OBl37Nq-;x zi~LyBMQ@GXU1MiYF4%r!iMh9# z2D;f7_VU|gK7F!jTJkYZk78mF6bLwUl+&Cq23pH6YEz&-@4jT61Vx5y7=6Sq zSw@-=u>=GfUAKG*L z6Ganb0p$gaz+uZcILIq#kr$r|(*LraJs8e{KZTjBGeOZ1>#y+m+SgQIZ6|#g^2`f- zJ}8=}-ZMwO+K+-?sii`Lw#{UcX9ARlM^zh&98DpIDh8_v={S|FaE8x z1th*CuYM- zVXaFiUgiVmag!%HyON={cK^-cq!f6TV3a5vOJG0klax%qTo8Poe(@%X)2%)e z$LyvfnD6nPuSZcl-uga%;-jK3k*|9gChr;CLOKN7&wF~(C5A#d7ar+;FS7_QgnEg! zWTi+y%*xuG>XB3y++Yp=OjnT$VdHDAL${KFd4Rt51)38%K|WArsiioQst~;ajJG0M1G%#-Mm1{JMA@TyxlMU5h^c%N)30xl*lxLv1Tn2w0Rpe1w z6cYG!Lf!WB&I?Gt(Z;c33;82!hqW(<-Yx-=BSZR%gOOl6cOWzj_3t!>Ya=+3&j6l3 zn1o1#1M=B=e6A)VGAI@_ldUf6OqZa0rulvCQtTK>g}#*ejZ}EnS6rPKV~+M7kSeaV z2bM4O>wK}LIcTR+ktIr$f-1vdb+2}B?5gsEeXUWsM0_9f{awnOkNRYFM$Ff;QGZ3A zX`Jp`Ccy(Z-r#u4N*ebp^+hsVJ}$auj^;H-B-9JxQ6~J|RT3K{VF*;I3hS+?PZMLa zphIpP54Y|w%!mBRfl8@xY1vg5BLBK5^?BST;=z9TMx2&HEJ!r`97E%N0>-hG_qpY8+lCeRY)w*PX2mWV2galxA}U5fs_618{|JM>=6{Ul>`soc)OXI6%zb( ztn`g<^RPd*bn2ja)$v3azn-qMg5tw^>|0CTlSl%GaX!TB1Kpi;MLsX|0p~%S=SV5i znK*1x;c!B)-j!rw4Ch~*7jd4gR`blx+$w=MzMQ^RZ5<59^B)w?^@X7jUMf5Ke-A)^ zugjcq$Jx9HUdHiQ_glZ@9mjBjzj54mGx}>Wz>o^IP9%d-XYyg}-Q0B7T~~-E&#LCQ zm<&&u22^jTqIuh~UwPwOrwQIE)Uv)}&x`c40*-AM^p=49nw-ur;Sg{Yjbx*gi-oS% zr-|Py^NG4B`N%(?`x|9YeUag^{GJk`E~4c6)#8cnqwsnFudhyhea0P7R7&t0UN^{V zM!aB6^uzG_Ac>@OO8ZnHBwW;&N|ek8fhnrXEg{9A&}gxzn>-KNZ8Bnw>5GBYW8?`{ zPzkXIX3gODG4w<|D0>>$EzZ_6K ze7aXc{(bFi5U{bYeN2-I$1{4YKJcZ3^##ece#;z?`yPk|sH6G8|MB;GI*zNVye$FV z9>0|;^t{R~9rbIxrATMKVQRm!0nDvQ_jmF~!NZzX+NGW#Y_4@R--V+L0*j+O2SqBO zc9LuKf_@ITe$)>bJyiw1w(rOTa*BX9o@P8=zX+~b2Soj&Ed|a1`CLq}86>l1c9CZ; ziS>62(9B3z!94RvnP#Rc2%RjA_NuA?mDkB0eGT>SM#5Wku%QYjS2M~9^orCr%w$Hc*s#7FC3gO|=F;o8or7%}`<<>Cj%d^=Sn7sEX0FL_IEh+XT zKtej}Ylrr{w-~H?$G?eVLH6Bq3nXQ5V0BCF+Ws22RmjRw^|B1!)IL0K!deCv-()4) z5MSNaI$q``R||*KIBPMg2Kcapvs-I-C8&Lm|LN#o0&4VO0_DH5;T-FugFg3ip>IdS z?bAhRFf4WXgpO@FC|}4B)32?7j-xll1N>^?9~r~+Eb?Ffa<6AfNj(Qx$hexD(0jeu z6uzOOk`L=@C3z&&1#mot+{`|^7$o149w^I0e(kL;?z|Yp?Hw)?6(7arCLtoSh)Fr4kB}h|=b452h<1xB#c_DK1S)gAb^f)W| zOzuwyyic>co;5?Sz7z~CWv+^iSAbm3P1~RSHNdd*!?$LHyLZD!Z#$yAe-Xra zJ{uGq?zvYAnujr~XUK<+@xZk2$Dm3u-~G00J*y6UbC0V1WvT|JhYAuekd9|H&n|Oy z>r$k%CP^-RwgSYZ$nO;NHiCSd#O0e^u0)b z27g}n_SrSN$!egP(+e_XsDaLdW0tRi%J}*XdbKAUq}bd zB*l1{u1d&$#hs_+QV#U*l?A*|+~NMPxQ`g_H*scLml)Tt!*x#ZeOP>N0-vwL?_u#c z!0Wo3TAvt9Sz3v>ifZ2%dD*%OF1*g%dGJp%?C(e{pL>`F*_+|m-==gT&T*XO*Oj5J zaxZ}sI|uc+GLf#vcD{BUV{oV}wgI~>H>;d~|GnQgrEQ$g^t0ji=sB)g{uClF@I2Y$ zM=RZZHlD!sx4)JIKJLE>%@-?O<~M5zd^&UK@coSIH{h`T^QY>C1rSHF>bc(92*NeT z)U^&}0L|y>+(wdYz(P{WuTVr2`NLDfM*jopA$VRb;D1k&0l)KJs+FiT!N=>|1vKx4 zF}DaNFRIW|a2(DW$Os{WyT9@pgNwYeIH`iE4evm>*QHS@{J0se|DIQ?3JJkdlJ8nY zJ*g(*oBG@1PtzwV;b;QalK`($Nas6#PuskN-~k+OaJ+3id6w&ta|SftQ0S`OQw&t= zdNe}R70@@EV9d@H3=9)OM~h@j;qabwX|Imu!TsvOdz4rObX$$JY_V7q`DbLNENJbK z33nX!B&o%x0IBEeQl9-t3TJEcW&9H_O=Z}}e=#H;{Q~urnzR|MvUoj}Zj@gAg)ki$G&DS;_ z|Mcz7*Fc|wb?>DI*${3tZE8F4A3ssk9IAZ5Z;TyWKHtuek_n#H*W%gF zvffKMN1X{gSGh8BdumS&>;|{?u&X6-(b>?R<`~ka+2&;&k2|6a1{npi2>!-#U(eJ# zVb4fDw3}~fk`~oK6x+Su6X#u^=J?o?3Z5d6ZS6TUY@LaG8N-(jpA;i_r;zoeFB97L zpJ}m1%k>DCW4_nRQbxnBGf_Wn^)o23czu--ITvnrx|!fNyl#-p{eZk3gE725xNS|(MY1at43dx4#IZYo0G1GIce`=cL+0gFwXQ&kDl?Yj2+#3|<(Sc->4(`zvhQL<@W z=NAd&Je)gOk#7DK-{{g=q^o)6itp<2!ce5=@m+LmIRv6RXIvZqI>T8Bi&V**&d7(I zq@sr04_dvHBZ4RO|L5P25_^#Fay=I0bW=4;^kSgz^j81g?0CSQ2*%vxQ^Q=}G4w@t zn8Ptm&NBs`ZrDQ(!}c9yaZu1XIPfAW8FD?J^>yxy12*R2o6G^pAieQ6vMVJ@`cgXaxLixOvVKRM@6!gC1Rht4BE&Zwn!x zTI*dcf#C@-sM$cmhTg+TMwvQ#Z}dLOK>Lv^+KY?g@hZ6#1KIq?MwE{y0Q(IWO@uh?3Dn5q6%0=dLo;~4cKl{a5UcnGZxRh%)TM-G=*xbmYM&vL2$iU`c zay%R!VmAGiiuP2Z4E!br+`)h1-J5IOAz*DqHIa_uatF!Jl{tqfQ0en;8)%7!g&h8d zmV`J+`cy11JmCkF1#_GNYQb>sR)pQBlX385v)Eab&l~b>_c^v1#(@8cVvm96)*#-n zd9Asd72cF@_R}Cgy>P2%40MY~zeUx@skkKtde1HW(3(a18Y(5ZuhnB9F^XPuR1@it zjGuGyda6sDe&yHxef%R2E&1Ob>ZBn(0hPn-&xK6^zt??qoAIDPe-I4zS5BXlhyoG$ z7@45k@zCbcr`+4>4VLQRAvfM2-3&WpUl-IDc|h6!EyFwt)JSf>Z3S(A+y<|mkRl{4kY8& z7QiK#ckLz8U&ha#<(o4dLrACg)YgD4x?gM8|90H*KKQ;TO2-Tf2puPK0T+kM(Q$ot9 ze~xowvX{*R-!Id_lB=_CbC@xaujT1sIuh1y#PfbLk}}Fg`^#t6R`^tcQy}WD&jVl9 zVC+DCiK1RI$2Uv1A)s=zi{tR9FA?WB&W2nyvC@`Bk}YM859RxZ<;kbj9VC z9z4cuf{FJ_kyLWyVT(7?PwJT&Jc9Paw(|nd6WX!FfbeWn0@oi$HX15;p+49&4aarz zl>hK)eB|p-x(MLfTHEzS!xtjC7U!FHAU!m;eKrA-zMw%-*_4X(eHKYuEu2w*9?u{5 zv$_X3OWol?jk5#!K3`boda`p!AQgVv@4OaPz=D;J2mFg%3xe6`${ln@?jRRO)@l3Q z1M@2=4znY@3J2LU>ZZ+8z$nILcg|gROpDg{eU4xZ5#QIHF><4}C5?0KIBMBa6(Y?C#;ao6~R4Zz-Ul4%C>#Ma1RK8#rbs}-W!UNN}c`_$y z$p`4;f1C=vW`jlES3O@D97o_X&R5yiCR!&Y1Hl4T@$B3;_5^?9xKEob-(s*93H>z+devy2yvp#RG|es__;W*c@lZz) z44?N~kuCCo*G!zD}v?`*AomVSHJ8M3P`%4kHUf(>~*C-09yxUh0mrwQqCF>b_( zmr$e-bCc!L^Z7=yH6ko>*Opo77ME9>_p4Lbo z4A*TMPZ_7mA1i>m*svurhJ2Xu;mMa$L4DtIcfQm2rUSkoMk0~)XlmID=r;G=Q9T|C z>-q9#CmN%mJ=!Sl;&1|JHYE8oFN8s@r}#{QW(;r&93ABS6$>wDmM^@@3InR93-=k& zK8b{D<0tzb#7-ZKf)*paYlg`8iYqZh<@z(X|M~Y{v-O>^M12|m zJb^{4++>7{iU#I^$?!6sW=Pmo9Y*OAU7AmO!bIgB+B0vhvENHKm5XLl;SR-n{(m7E zFi1*vtLaE2*q<8f4@G+!@+7i~jQbNnJ?q|!1f4h-dK0o~F`W#5#HV}@F_pr!$O)FB z76rjHuwFvsR`F_tSABJAlea~r3F5t+;{lCU%=A1Iah z)0GT!&g_rvg-|~w=$U75OEH|DJsDITlLZGFUe;76rNf7#hsYn>fTXw-+BZj z-mQj&fW(Wd#%-*ky%A4V+TF&ez7FhIi9M*7 ziS(~|TaKBceR$E})JJEML3!m=;PeYJ@-#h1=LCP>-RFvvd zo=*T%9+i*0XigdDU&o&H>p(xeN#qJevB5CJP+jY4F{W$phVm(?#EH5`b}Dbay$@5qeZrduxNS7`oJR z=KCqrVD|5F6(l9Vxp$sQ9L=adYg@GW63s8q#Ld5|B+G@Vv;q-5LG;~R_a;j%Ar(l# zU!y256G+#J6grEGA=TS1VE% zqJOu1%1&pX%^sSo&m6C{jfC|(l9%GULW%fHxSGjT%bNrxd3$87{L$V<1$7S_nmY6jL`HiXnI}f1YLL6-asLaHqA?0yLKMhDqKB6Zv|)&hzv?dwb$}*_Rx5 zB}?VO?22%|z}GC09Oi8Hxu=EkR({CmKz)>^#?460qD)|s$wa#Ei9q+!HT4xa^5qp5 z^3Q3EgZ+O5j$7P8^9$SfagXt&EX{*t(7ds7#`SYK>>BwxqPoWep4%!ZN9%?{FI7vG z)|V{Q$2s~w$SMO4Ia!|xY)OL`TC??(eDOe@ljvzTm;|^#Ebb$Q`%U1w#5fM(Iwv^Z z;d>K!9N_n`c)t#htAjq5-dT+2!XJ)TEMJ8pKzY7kB-$kuUVCWz%px6aJkD{PJ$?VD z$Ig1BCzXHWw@U2{z2Qsb1)eA0 zl_DxukS;5Z>wEf)13$V~z%3uX`?o&i5%{!VdN`Czpcq>Ao9$?RlLSw)BJ9~RQU82L z@7_DeKb3k`@8q;t4Dzjc|16HxfXJWRSiQfblvXg#JG&{M9}ZtQuE?>emw@+y8S1bX zoEYi-POin@>Ck?IyK*Gc5EBl0M}OZ%0rT6-<$vItJ8aMzbk{|d0lK~*XO*+VCghr3 z^4N2U_`Wywhn(kN7WjRA@hW&K9gbO4>q%)Q5j=q74UV^mlSn6GT7tmP^dO08St|S* zlDsv6a6%&FQt1q;Q{6UR22bUrgU-9K`wHU;F!p&>P%9+^PFP8m&{MjY4@N$6N1i^*1i_)#3G@+(Xz#no;hRb+!B69TJXOqMNwAmu zjqMe*wt?@yZxEc4GwK>Z`wKV^J3cOH9Ir_OmX-&~ zb;Z0`q_dZb{a^uD9kI+`CewkjkyMFRbYFOGTy|4@-5C-oQo7s3(caTGF5`UF-S)2Z zwnH{7MXwmI{o~A0 zn642jMD@is4&!`?*9YbIO~=h{ni4#S^PJwWSXJwXG?4py+*D%Inc!cX7jd3V8hci8 zduJ)k7|g2&@wpLrzD3hwQHt*I4_Y{UUkn5xRvh)A>kKUz=`noR0z;L1O!QK=ow6TdhbO`B;B`iiIS@RIQBhGGS zlKRICeLrw|W>6PH=x5CeZzC7D-Rv@X&jIN@Qbb^!rD;T6WNGeC#xP$F0d;4WPxTiP zby1w2%klWCRH7ch>nkpndzal6N(p|$>jw9eGG|zr%rU$^@P02Be|5thV%>5!rrYdb z=|NMS&0Qy8)V*>z)=~n}j@^GQFk}Y@#86Fj$^vjb&X<$LPw&fxL4BXbDoINyoVCu& zJ{yI6Qpj5={W?8}z5fjw=BvA{Rl#fb(&_M%>Tp?mD_ZWL1@yPQTo!ri0DtnhbLaCF zf%)k@W{&Sx@ct>guEld3NMAc|KKeuxPP5-`qP=AchR>gWkpnA8$W+h^{onw!X6GMW z{D*uY$X!}Ekv~HEY~`_DO5^|e_ZI?Rjoz$w1p%j|m+z78Zbc&f`o&8e< z7-jeH2b?m2XBPIr`14oyuUCtqDvTZw`s}UVkd-I!9<^ir_F4_{Pp9AL?C=HNR+Ue0 zYRn-hH1uO_pgxf9hblEM2ROnd_O6pI2G&WIugG;e!H-nkV^aHlAY}b>q+qlMc=+;e zK7Zv5g0i~`{-MA9&W;W;>n!wrcA;fY1Jbi*EB)ogP?uOkPNtMpi$hWP0X zxd7N%|0V5ZLI_YB?qpJb<`4bqoV*A3BYpEOkGf|&P=BX4^vZZ$By=6$6JFFF1HrN; zWt?a~s9^Cz$f{=u{Bw8*7c|Xb_q!vNq{z2pUdEeQEkqyQlC0kUI~52g4(o?*(FVa} z!z+&17va!%>2-;yvLDFx-S(w+@&XbCZ+VQy5#BOA_{3jq5AxTu$kxg%0aGH8P}6gP zSL0W-hrtWjveRan4cs953YzjF_XdTh!R#N50%3oi+2xa%4MZ^~NPWuyo1mltJY;+DEBQhIIMDh0NN9u^buWKp1H_~%0ORa*Q^*o6G}F^}>Q ziP$qp4|V$#ssG@s{>lT^$l=uSw}H^8Hg91p?Mckbx0|nZyD}r4Zoz2pcFJIIAq%bC zbO?n)L5?f>?VfPCW0hV6IpU^Er{DdE`fAyV@A#Ejd>|2Hbs)d*2mkt>?|yqK65W%y zpJXtOfw9{vlx6YAr`}J?ii|fB3Qj+cz1ZsmyQofRoIDi*D>?=pqDP~FikYj-nbjR= z`L$@3A_Iss&^SmTsXq)#`6<}1ubaZsn7!a^up?35Dan?xa6!Fjm#khGaGaHM-w zdyqwfjF4bLBkKQLTB}a{d)pNrTC7aC(xN`dmJS_Lrz?2wq1dI6fc)LJ@#Eb(U;0;m zJMgYc%ZR*^1Q!&#zmPKvp?-<%59>%ZkbN|FG{83)BCBS8S)KC-ihajF_L}>Ha5VMG zPJd6JzxiCNT*4L2V{Gm-3lAjxVR0WZ+;0NML0rEM*EzxWVe!2Qe7+99hsFDKcwN^& zds+g#-QgG0g`ZZv#*qDTvfMWHzc|Nn_TZs5wk#V{xENmabb-{E$k*8Agypk?>exix zy8#l}7~=h&qZB=s6z2|>JB}so=(tGa1)e7=XIHS<9D4%S<1(duLm897&vrQF_Be{$ zZG7^cgqa*Rq^r*Nap#XkZ%8TE`|a~J0+=4k-RbCefTy`1as#)(Ve3l}ETwZAU6$szNc+Dhc9N|{G_oH0dVDMbr z+R=Z&6I$n&G78V4IG;Kjc_T;-!}ISl?Zc51;fBCdpz|R}iXV#lMmXQghr-j6?2J9= z-!V~hKBiE^5(-oU^NmJh2!4`Mb2Dxa@&;E4miz&>3jY^OOWo)q15 zc;pRfW6{f`Vm2UBubQv}`P<;QjPupG8zZs}+~LsfMOAkhkbZjEz5WBk;UJzUYAq)3 z3=8epU3up)nCCq_)%o5F-WkYLT~bH=t8KoPJ-D}SGc_Dqti^V{d}9nnoHiF8e~Kaa z=>?iC6uf}^sSb*K*>~bPsEUqVy?NOU)ZacJKfTwDz+s#Z@%jK>{4r#_q(bl@&U5w$ za!9;u0)fM(o=<(vir`@HdY8)?4DOjhi;W^r3l4Fb?Sw{yiMIzG;MUX$h`F zfe#pQMQSk&xPr#BwjHaYhY8+^W&1wajrPE_`1 zY5XTJgLLAz>!QUgUQDyXN$@4>-Odw8Zw{}EKAj8S+PUgX)B|{ZweU0K`OUqt1i#^R z!*E|zugLGKL|q^_zvI-6p8>$4T)10;CIp1;s9p&A84eaM1A}3xAMrBjPh-7j1lr^6 zzOZot-KTErtXtT)ev9@^gl^ibx8$fVbxkN^Xh{a$`|YRYy}A?iTekI_+<#kaatgZw zSG+X6rC2Z|1$(Ak90`Ud(xK-SY3|5;9Rl=?TZ3IcL!iP;Y}unP z7}hm|n?JGz!bU4;%|WE6Yh!p^=2(;?7};3Oxg2+bm}V(OkDs0pUeI1Rdd}c~{{7Tg zPJP?9Fz8->;P@jo6s(w%<)+Ygiq^c^pQDV|Fo%10&=-ISi#vic_QI2!%VPWLmYJIb7(wVjRMPfeMeL6Xt=P`!^`wrG~5++e;D@^ z-Djx^GRzw|VJDCN(t0)!2ZOANXKa9Uc8R7O4?W@Y??*YuJ=o$@0R*+4pa7MrCp zqX`f*+#LHp-;X#SbKYa``zedzXZCl}gQV#G3RGI2lx2j#W#KvgZ^wPXo6kXq&npD( z1TgU&Z$r9RjYZ-U=`PUmh`y#PO%x)6-FW!SLm=~V*y7_WF;IQhMf5dUD7;u`W$itK z`mY9?&kJSH_dsH{at~)D%&?TL-Oq^u$B3+Vm1N<-7saq))a(u8#h*X1+oQgX7*nT- zP6+IcR;>Gre1J;S7*%KukuDyK*KTXW2nhOab+I1lm^@F|Ayugu3Zd`T7{7+PL5KWV z_lpmFfkEp=OYVFS91w3zZO#jUylJC)Ksu4aC(|rGXoe$PPYU8l@PGwt_Av1y{^@}Xcj zw)e`9(2N+MJ8zT3V;Mo*m#NZ437upzMZOx5cT1^^iL?J?(Vs(iwb1;mv>Gp!2bd%$ z?H^D>|KIi=r0Depvyc~lP~dylr*~I4bR6`&9+4Og{pG37KCeB%qAhNEOx71#nd7u> zb;d!CLHnh~(_s+zF(XRV)C{KNSTeW{21BDnMS$BzB)soS)K0gH0J$D=3gcPy_pd1( z6mbfM(>(N2>g;IFX{ov}dl$_GECf7g zep2mGOn{-LVa^>NBjDk)G5zIZ2{5n6m%V@HFm#+(ON$v}1io`#&NYL^M83WXpP!3x zaw48LXX5@NKQt%s%8bc_J~kHYf0XkI+j?Q@JwnAI&7tr}grwC3Vj#WYko1Uill z8O`N*!OD&-ogy}0c=dcOZ$%}Ez>iLy`=2P$eXmM-;l1a-lR@EQC3nAv8w72J{(To1 z4Ev}a_Ol;D`AND_yysaMyl{3D7X1_g-6Bt;f`wdxO;CmDJd>wudi}&mBx-L`uzIrRtfmD|0Z@;)c(?xf97? zStWVvuahTmei)qMF873xGuN~C*M|}LbNwUdS&K+3Sfg;&e;)1uCmQ4TOV*U9OwQORw@kw~jZ*ODVXV-=xp;U>pX^mN<%pSm zU1k~`4I|>4PDt>QuxBLL2=V(gtb0StKJw;c0x<*+;CO@Mt;}1#NrtI#;GovN`MSs( zOucjqdpMBaW9-r5FJ#hKZ2ld~w%`ERtg3$A{mvUsGrOAwB3)|X6Z2i{cMXXAJDyWo z;O!m&r#^ljsXpL?_Inu)tiOtfvp*&_rze9!QX-n}o@_LzE!vCQYbO)@RI={7ZcXM1 zu45ziB%{dpP&ev+$|%xP+s2K#xV+VpUT2tLqx5>~iTrLJ)9ZK9q37M^;eQ@9ydygU z!2IlW24AOrK*2f8_|w1_^aK(k9|}2OrafW`YwKRnvgoRQf?E@t;|f{Se2Vmiw{aQg zD>>Kl&oYeuAT$F7e-D~Mu6IDOC0QV_Ili*_+<$XeH?kfB~6&~Meq(1v(J z^4Q8iy_Oe&!#E$}^#Mi>f!{uG6Fi9XT-{E^>c^)8p=d3w3FakpDvjbrPvM@?l`K|JTHn;|Wc)e)4~8(7oe!T~uZ)TE2%2={_yfF*++H z5_M5=;4_H{dJDfv!LA)fJg>bxJ-H8*FcDe|o8CmlqVKz7 z7UQJJVIaz~HtanTP3UwMYbWzo+;9PogdWn%ngO60^Sp?lxKXx*Df7k z^KbAwnq~(uPda?^lcfdbLi1v%kunn4Sp@jJq+@|2+-QvNcrXOEM2C{+qIt^lLv+UI zc}|byToOlm=dz~0qV%Pa&=~b(J&-d6Zc{JF^z+zbd{XCrr5K|<&?mwVqhb?4u|PLo zQ7!>Sj9$gC_aNQQxb8Vj)6MG*3j znX9Myf#Omyrrf`N~!zu+nQes&q)QaViG3L-9;!O=sK7>!^(lm5+6 z*sZm%?m#ArtBfh^k}=Y+rY@*iL-$7Cf>O!%px;?Lbcx)$HxjtzwCL{c51YflReI&%oAZ(2Tt4UX z(JmTRyX2eo4HZhP%JXP=@mB%;W3Fk&d;!+kEbt!vuul%@(cp%m>-H6NXNaj`s#)OYWV<4g*ln_%a^t7s|y^aqg( zrDor1-H7;%ySivizgrC$*q?TW%^-h4pUcq+$VacisY`EbBob&89-U!HPlDjm!`#`w z4#192b{D8Zu7c>^Q0FQJ3nE`#T!g5jdCZCD)!Eq6J6|6KpTy;#9y%Eh1KwX>I?LK( zds?~N0_?*eJhQx074h~@iov;WuLB^&;8ew?Um#4XkV<)v`NBv=W|4|nB7q;b>u$Em zoQZ+g)xCcb_|TksRrOW(DQ{qUOz|t$BLM10?oNugN5aG#WqvKBpXvNH;;k=7FzOe6 zIG4@s4^x~kBWRsN;CyJ{$s+@HAYfP<9K(e4sw`Am-CoFGxIZlJBZm7;;JU=PejOeM z_&zMYH-X0$eh-WH>+rg6qsH^<9P+=y;~d9Xp)U#`h$mZqWw zcr+pb2m27>{hoNuwGwq3>C70O3QckIBk}^z6RWO>eT^3^30!A2*7XbOOoqFize^Ve z5zcJmlc;4tsZ?P&IJg=W_vb0ucqccInUa1vrs@Z$d>?#fMmUb= zkK2H{i_HUD@Qlf@l6~q2{JIXG?x4Dmd!q-b)=**U45z8&k&YkRe!p)qKMg^$wdX!X zs5utVZ=o9hQyQ3tRH_u!li>cu#5a~~D{PV3Hu}APBoW_rQzbt|rO~{uZE39?@*x-U zvE1;IM&HrfJV4;hHr`rju8%M52!k?%cxTCI&_#Blz_c@gK?^1Yr}Ldr=H&#oeF6m=cL@jTu6-$d$>1aM{~AJ>0^ z`W6TNe(*HWBX}9d;{h6Juk?N=g1>Rx??`HAaZe6`fx*j6&!b}?@LW{W^(E9Vb?kKA zSLp`^gVgOAXWc=y{hN`O1|`8eJn}Ve+=&ig<2w_e>6Z+`kDGMaXs?PKFu+q^Dv31i|)oK3>_Vh|$bG5jq>!HQx{;zd(j9i?^tTe!Ooq0p$Y&(v zX@L8G`l+|8d^gB}$l-P&YWqy^SbI%Jt)C2slDG~<38xeK>mA0Vy0p`NKz-_|q$hhc zI4B7YL^Z{NfZBm?uTCO;UJ(I-@|1YEIIY1>lN%4``B=Lp-o}IQ7~5{e)>xqCzV;_f zFd9ZfZI8SjjshS5Es^_Leo*wFDM#|2AJCoTTy}XJ4*c&Y-DC}I{^#GntyMR%AL&ZW zG+oi7f06)Vfrt2l9wU90;8oguDIrW%G~sNJohw*=kE`c>>49YkM&A~_m zG63x-^)09-K}Y9S{?G6X_@O3R@9lzoXCIWFJ)xWmWy3owoJrH*&SC=0?}T>Q;Gp!tZK5ArT%WWp0;%Ik@_*>F)Y z!Fd?XgW+c*$61z7ylfbLP9+o=me)i>f~oqBi^#{mjOLct@aHh#{yHkK93KZCC$bm) z*b?A}y@GWJi7y1vb*k^X!;G!Bl+E~|{$QOP7l$Wh1{4)oQ?lPp1ikoY&GWAk;d1!n z4ZE077@vrt-G$~3UtXu3ka(T}a+}7tzu!m(@5Z);#pMWSSpIbPDMKufvEHAaUPAjP zrb5DDCE>6%a6psnGMY!eTFlOj_Mqwhu3o<0faY-iHoV%CnFtr$%6BivgusKv8Xnrd z2oU%(e*QB>EO3wCa-Hgn2hQhB{~SY-pyfdDz4rcOa6I&k+!EoBI$74^28kHh;jb9z z|1||#9x|+na0i0di<4ZdUr}7Yn%2BDLRIhrBD`ZB4G1o`$4>wYvwduX_6mJITE8bTvLGxBVhi~;|7exV8$g{n-O0r;9 zYN($S#m%tm1Ho?;9*|JC!(*X14*rHIAN{A41_`OZtYkkR9dMILg+)}~TD6`~ZkA1e zwW`NsW#WlYc&q4Nbz2tn^uIFBe(eGcKB48J$hQDL7n2l?5|mKBJyw$RqqfGLvRsbN z^>iZYyDLpizZ2S!A4}C>b?|r?yjsiQOP3BI;?vuzc5ghj9(2x-F}}-A0ET39t*2-& zZukBP116+j@LVduUu7NXEQ<$u)J^Y)`D?Oui-QudXk6b;Cg?)st8V*kheksW;(1NE zXYMOJOogrNuViQUWx~Sy$7&-vf!M{pA`!}*2)}r->BL=Vu2nHigrhGOEY+^^F6u-; zqFnv4N68Uj&vnl3;t1Na-o}sArNaiYscFcE>hy$RNj^wDEPh7M8w}?!|OUc&T*X0 z^>}k!4EcsVd}=D0!tr0e(vKz`?%d%FHDW0Z@>TJ~`wg3w6fQz~41@D7k>SUk#pN-2xLr(y3rBj>SXVB-BeF&z^D+#+H@t?Icb zeiL^JqP{+Dh~x_H4`CrEkrjmYr?|?83zue=X2N5{QXM}4~(@l z)L|kgg^2Gl6W%qq@KkW(*w0|)69uC2&0id;(g+^F@dn3RWv3TgKi?!EABx(d{Tty> z;h59zz?}lz0mP8RAi% z(q(>@$a!5Z)D+ah5|w5VZe}U1=Y-~@!2!2oa0|?YfNIU~KfLJPIVZVGv>}n;>&@pp z36;Yspz?PglfHa3WH3B_O=+D$@KgOE?ZIn1kpJtT^POs1`r#SVJ+a*lONO%+|C;CU?zB{MD)iO+ENdo z{PVE&OJpuAG#={}<_m(KR({j>!;x>-uNJ<$J2Hs6$aie*>G|G#u$8u-mnlMihud}0 z-dz&1QAn=~uLtn@iuAy~*MZD=1i#^RLqpeO<()oX46h5QJ}KPF^Ur_`ojF%v&IBFO z>*u>U^Pt#@v`E=E7d~~A{L4UkH@wF}?!PlH1l;eM%GUK`-K9!!cpx~LgLEq7Nco(l zZsdd7ZDA>uRivk~?O#R~Ve|25OcXH5Xbh zI_46mcG#nN(<2YTKmqL=uTcLwuu72*Y=#wG2d*MNKd&1nc2cLoNR)$P8|nxDQSZwO zNsEQK)MoC!tQ61@lFS$8_xYcH-^F*$juq*fV6NB@Z>9Cr zPEx59rM>swd#63Mx5_G&2&J<$q#;y@C=D%P>|52##h8bEwqGc07n9~K1Ezt!K74%npxlVG^RQ1Ii;5(fAr%{LZ2cu>1>D3G%_%2>>c#}n0E^v>Iu0;#f1|$@M$cIQ z5Q;)<7Gt1d+kW3zU94Y!e5;JpClFX(pP1w;&;=pkg^KO98E}_xScP(n06|%?7QBEGT(( z&i9#D4jkL&$r2V{26|Q0zRGt)p^4+^^IwZ89nOLNw?EAbCX}pc1EGM^*}c*|bxX(3C>9i;Z);PLDCN6UDLak!;ruli;)2BXk9^a1>^}6m^aCm?slziR< zj|cNn`-{POX|aWO5B7OyeDXe|G6DstLvY#40$8UpHy`<13|+!k1eH!)fw1Cx=hQ}1 zac#Sci||tuGX5U7G%Bxp6$wN>EP;1K-UP7^2>&|5=Y-f-gl>YEuOseZiSs&Q zpA$GcL3ws$kqhf5%vx@KKOarjt7f9NcGW2#2=qArYT@I5?>D1<%JN8F0%%^*{3Mc+ zMAijSCxPh)FCJPABXM20!A`WPvl28hJ4n{}O8-K!95$LXOfxJ5 zBH^o)<7{Px2g54)`(Qv^5e8cv!GXFx)V->Jdz0+I&^ydm(GccUl$-HW2pO(+1nwNlkFeRFtnXi)ZRTNb<>+bL<)iSrUBAM#tv6$4t(E6-tfBtn7v3Rj&*Xf#;VEpI@j^Dg&ntRGI!kSy0>{DzJv{0SR6v@Yu-DbK7UNIFi2! z-1j}YAonvN6C5}CY@r=1fn>|ywjKw3Aoie>gQ8akIBr+cYQXQUIDL6%ZIK|!I~tw_ zBb_)$_|rm7@GMsa)|+~!NPUa|cGvIKBi0GPlwa`uQGOBG7ag0~5qweTIy|A+CLtSM zPWDCGq77$d{}z$`0MTEy&t0R|JXJ~Z8__o`DF;095DP~{e-JI_tlo`rOgDJzZ%6FE z!K?9q@061m`qG&Iwp?Myo>nKo9*G+~=l=Rb{OgrZ zr#O7z;kw;VdHxtkxo&B6;j7jE{QJ{%TR)WG`Zl~H@hlzZ|9aUDFWiO>p122~Bl0meuDKad|7s=95r3b$^j)6X!lXOG|ho)1U9NsNlqMBE&4wMXv%batoGbDDCWnK8rR8+S)^~Vb_DfEbD)vkEM^ z0pTz6X&}jG#C+stIQ%Yc_fyB`gp*P266-ksysWw0WyBNDukeak`C&bzKc~sHZbw_7 zTNP?${44+zxfbY$P7G}FEtI=*Aqhr2%(l8(=fSAI)WAO62M~S~1~1U=3R5S%FK-Q< zP`pI057Scfw*S-sx&t~Y9&G`jB^~eoThIZBoPjg#v4wd8QDB)jbQcMyL4J(jw?9X( zz=!BlA<6iD-l(l6f?qQdj(N4#mcPt`M+fyZ5|mRQ?7)$X$tH8?J`=X+uptWcXY-h; zYf@loSfiT5Fa;il%Z>WRyThoH_nH9ydraipy0H=Kq3{2+8WWw*0-aBC*>UEkaHsY` z?(%Xdxw4r}KWf~T46UOdHIL?aAVEfo13l@XWPi71e}`7ql~7beGf;E(LJUx8pZI-m zFZO@{?hR>`_u zNMq;esn~T6v@uhse^Sbptk=taVpn{`{mJJIAE!p#Thm~Rja_!}cn(Zl*wy*@UKDa% zwtVM}bDTHZQ=iRr%K|FNhZpC46M**ng}K#|NQnJ)R_H7~w`sm{>unbY?u-B7hu}v3 zZ^mvpusel$Qf5~kxZG2jYdR4Fm!SS~p*FsUaR0q|^O#y2rnvXlxO`v?KKTLZT>)@Z$J2TMvpgVL-!v)8kNF2P&W4T8e z>&r>J`;uA=nDDP7_7$OrC3F+Sd>wHQOYCz3XHz@l3x~(E!Lp~;B0(^Stk<)_ zMLS1}aPFQBYY|6v1o?g`S&F|=Rv+O&;(C))p6=2T z_NDivEM4r$ChD6-d`oEyfzsC?aJ!PY8)NL*ayT{aKqi+}sOg!#=qqc3SN zVseh#t0w}6-cY~IThAhSfWR99Z-q`PR`aQ3!fo%?S}WQxu-qa##=npP!9%&%&4Mh@ z=G|u2!W1#ksdV1_>840{e@l93@m3a$j!zxBr-c1o{?%X0v|-*Go&@mU5F^xv=PC^3 zQe*zy%7#mqpTve^|D*G_8)B-6hAtFGH;d@0}lXX(SH|#=Ebn3dVv|r4d!qRRM@*SWz4g z^#x%H`?bK|!Kj`d(e+{doy<&6!MC_kU)upO|wX zM1FlIJKKfx0^U|XJWPkrSLdj+T;;RD{NsVA`@2GbG9G6bx5kou?Wk}-e=sZ+bU(eV z;>LPiaoN2NGUn+dKkdylxG0q!huQ|yV?rd8An8YYwAuSekiK6~{^l#5v-*d_1RoOp z!HB0vTk?BRAb61Axy&2apX*`&w9LHGeuj50B>xh;Nbv05s!-QwyK^DbA^FB55kExW z`Hg&gnL(@v{!y6c?)WqbLcfIPS^1ws1TPbKyug#)J$KxdVN!3^bHif$@-ENVTkAtJ~8}Js$lVg^+ijz7D^we>3VtH5$6j> zNPRB3jd|MfhVLLn8}4^Udp@0y41buVeXY-Ud=v^v2WRdR!w5!=^#cfz$y4>$%Ga3Tfe8y*7@mwCtuW0FE_J{QyJf{a4 zJm5Kni@<~DKJfVRp!pqse^|DX&FsGC3f#fN2C{U4z{_yGf{qsFHorc1o$qis%mz(; z;a&HJppLK9XS-b>sic9o^XZc^pxZl`A z26~)v!om$=y#iip#0Nq^2-=0b#&|Sv-Yi!=1^ciF2)6CL!)&h~?%)fe{jL6kGKvrjF)Bwy) z8(0(RUBUMV<=^U5eIW9qLJ!v@a^!pBdwp$zs`_BKW+hFnis$)5`nF8>G&_U5_X&CC zd!F!P?6a>z8Gg?n-i@SA`of3fG9|0t7LY|roA@Ha7npKWT%+HF!q8=1b-T9#@aOID z3#K}pv+Qij8Nbg9Y^vz0*zbEop-|Pm`@-SCZQWVJSg#M3=PG-(q#VgLxntk`*ZB9? zlm>nbHyWbxHTxYB@_J-{M^U@eh5ZlCjeEUepTia>5Z(V-Vh#J|68rPr2J?nzw{<{t zi^lYeTR!l@H1F4A>_;eUPcb<&8v@BU8r44PMZ-kiqq!g|arm-9GB|BN4IGc#dF<)ei64yt3;A~EgE2m~PN+YLg{@z%{8?4Q z`ZtLqU!9NoK)B}$tHH5Q2(^FD(1-7B6`yc%#N&IEZtk)R0_=9cYTN4n(=h;U&H72t z&s#!;e|3GGaR?k)$)DPmDT)k*gq!X197r789JOhDPA-VVJ0c&J*at-31mR0e_}39W zCxjlB&`l8Yb;La^ab8FCb;nf4i#~cgk@XrWACbREYYAIiII?7e{K)rP!^L`Wu-_VD z7LHe+Py4Sfh&ovh+t9_OXGY?B(W?N?y0I7tA7Zkf9*-pP$(08kbHe*Ka<9O)Z+0%w zzxY*)=~pxulz;7+5pjk5!Rt+zv)rL2_HXe;*#NSB`W2F-dhcC;su)S?%BS|gUFWfy zh36r*U4O$=D#3{KzX|_jk@SJh3w8$XEEaHP-8r(<+Z4&zzdX>UrUcbdxBa&YMnZ~iUa-0LOIMQ#s_$d;uMs6Pz$8(On=C;apzXKs_PlC!%npl#b zSl^zY5oC6PLf3`jbWK;-sZXbPpFM!YjZT+avksdqK;N%7>VuaSzS5<-YwXhGA_HpUQ<>>lksqppQu99_>at5BB2d|J%hEbAm!dx zaQTiqz&CbXPbGH}hY3C;`UByP5jL@3M@SwdcurTZ_i*+HAGl_8;nbBjF_M1?UL<(7 z;E8lkgL@2gTmIFsl+#26p36&*o{KsW1*fAcxcPVZfRFx&t?~zbl9vfQE?zrOwjypr z@;8C|?S_>s=Wb(N(V;K~tum}T9zKvi`NIsv78@@A>hplOzeUU9I5)R(wKv7`E+ff1 z>=cY@EM7KnF)gohAut-)dC#ciCfdNB^D`1mxsIUQ_&jt*F@)@k{Bt(GTKWrMeUbC-zOMeTaIzmD`m0TM&d;SC&i;nNWZ%OFPbr|j0bs82TX9rA9$bl4X&b1@da^UywW22(6CV4;L_Q9XC zm3kjsZQeFDFDU}i676*C<^bA9VwZyUo&sYpT^Wx`F%Z{qlaF{Q3pUN{ZK9jSkn!-& zJr}ml!xx`x@nuRoL|1N9YWyRCzYs=qid#1P*}wCt>(Z=SA^c{v=cnoT`eB)raM` z&x=^^tHPXTz}v57+8}w8Dj+ge2{y9d4NKdm2s1CDx>;m*AZ}$Te*T-h@LS;XBf5t? zAjt6DJMj=d+7|C?!N_nN9e=rqT=l5HSV3w4{})mev?U9DW`-5Xcu;{sH0Tz;S8o?vFsY;m#s^_dyZlh6&?3LSv( ziii_81=gE4O!Z6iJ$Nnq+z^_|fABzKz~ArR4g%VL&!$_(`D1g@NMmQ!NfFfUG~#}E zqYO$tId81`K?M(oYYgTs4pm@Fjm#1ZtNVEbD2%gYHQ4NNMqeVl_D>2Y?W=uo_nbmy)8=IwqVkC0RmoWa#Y4cnb|Z14pFFy>?4ZY4 z!B6_f);ArKeX=TqO`WMl{iWFuu}*cYS5}DaK_5>V1jsEj1NFN~!B;!akh!46{OLPR z*K(p+!;LF&zOJo34#7d!(z>L0rc5YRC}~v7@w<#9GJ}1L>>9jBPYTI z(b!{-U*%LHXn*qXOB#oxD7ALVrgp0exw2%swo@$0qx+uIuePvgqQ`sBb*)t%gAM=w z>3Uiw$8}}BxwgjWk;i#CG(jPDtmga2W@3LbP}d$&aXbmy?%}(wwh5z06!&+>a|)m= zANTJ@G{@oDYpt4ICvH?Sm%R0ZB`2_UF#fb%=S9kjHi5dG`^kEJf5&Kt?T`Wx&s!QI zI!wLe2r~M%aJZgD6}jr%^gdyH8Xfezu&5!n3(T4dU8;m7Aaq$ETirnc!nZBmr)B9CQ1|k)>UZ*T;MQ&L zpm3ZOxj*J8H9jkd1o$Z*U0B$G2AW#>BSW;%tW?inmw-5Qu3j5f3*$m-A-^0REXW~I zlP6C~g1I0dQMWF#oR!4Eq9dsakLAykcvsZE(+lpOBKHB2`$yzW5I*9B-z4EnMCjKE zofEOoiMa{le4Y3XBkI*GTT2(9Zb0S(V)1g-#w5Ld|q=KJ@E1Dr}{c+%(?ZmZbm$4-j}m;H`Pf8>NF6R6r)Xy<>@y z879c3K?1Zc5J7n>>p4?&(g~@)bfYpXVk7as^3#+H$AH z^vq{vB>lxh!15+qa;uWD-Y}EqV;A1 zmkGY|aVZG7EcQ(H_@=|7s)c)DDr0N*Gu@N$rs?Ua3R*?Pw_p5nRip+A5M?V8J}@PF z>34EWs1+>`e0`hB#(8I^3Zf3rU+OAaX_k{1-?GB-Lzdtt1|QcBw<<~O^D-b8dxjOM zHOVDLWe6e*zpfh3p3@`_6MRVY2f+jPodmMj5W#~4&t(MjJKb+?XcJ(jc4g~)a zyh!lu=v1oliZu^(^grv!Qu`0juPUtXH@8}om5OwEttrTf+Ap&2IHSo!@-l(PMJ`uw zmMs01CHR}beVO5Gr}K}QP~no1$L~P}*zQZWb>m|hcqpk@r(LrNElBdb+0dhkCel{# z+A?kff_MIQ2PT#{@xkZkHFM&u0!Wi%%=W6AAh1e&X|k~sLcf+bxy{RJAfhkoT+&vH z8`=aS3nStwwZ{?B7wwQ5Rm~hf21GwV^jCb`?A7y*%p|`NeZ#z&iS_2o0%U)X_9OYp zg;aA;c{TTKK-(2)Xz1SLba{hew6Z=OK5rV(_Ktbs?hAQZIyzIPpWh~}9-v*QKkLcoiR}0~ z?4DEwKx@K>gt5ON(3&ANC)*hY)X#6p-stj$s~mY^2W$gjv#oQ%z1Uzd?q&7L!2WK; z>LAZUHG0$x5v#(__qXyLjp1B%-DbD**sWaIL*XEuEnMheO_$#923+oC4-Yfg1A`XJ znQgY#*w^^~^Mt&qaloM)X7EVw<^3Q?65eRy7_#RleU*{)ZO`x;c**x7$OO z_Ayzu(-wFx{)tQ<_Q^17Y}lYIX9L%wCn{M@OBetXC=tT&z_mGe3HwXD*#U{^I6}alB zphdNG5h8LroN7*-My;o}cRpR#K{=lEYdcP|L1Lwv$LXI=5Zrlm&kyX&C*Ak0>k)q6 zL@vOiIm1}#K>S=Rbf0RaFCt>i-&1_TQR*U6eoOad@|qH=%3Rny({F@`y!U6RjN45z zx1lGdX#!r;cHsK{F17e>HxSfon%vx_2`k}a^v)_GP-dUub!?LhT%wZe6**}MyAsqv zpxg+_CjHe$if7RRJ}K{hp$Z0yQ8Hhj&;3s>Ek7u=x)oiFU@C#aNqX->s3h0ZbS1WOY(UQufogaK66+z zo^ucPb%&+>Og`b7?kMB*&Etv2La<;Ld|@N5qm@mMPex+@kJHLKhz~?4*LiOIh-mo^NK&^Pm0pAzd zjvn0S0vVD!E3XDhVBhcn#US}R?Yo4=%Ll3Q=95#1A zha+;5GDR&AfrGJKb!#`7!%4iGxW15A&0q_}J|Oa8i5xLvUlG2R6A1yLswb?>-Y znTKQvT&Ei7RJh-03RBvz=iU~3k@zIJJ|uqXffj05@KEVXk;mtsHYex@u@7Y2$ob0x zhH&xozK19N6j?uu$0u8l7Z`$kc>3JCz2=aQgtoMOc7r1#pC74lQ=+ow z9ZTmW)!=G{!{c5VH=ruBxgb7oj<}1U=&jE=^eVpO;ul^`m~`fvOfED5z+(QZRz$FGJcRj(coRJ?oRU49?DC*Dd;5Ofe(9? z8HFj@dd&5LmXZY!xWRcevG2RSI>=kL4!@qY2U-EEeR0JeBoF5vPNB`ny#Q^GqzZ4I z7eqU6Ru$+!YO5!rXSJ~U;N=<*_ za|<2y*<6Vng3|G_x~X1~Au*)(ed*BL*r$$1MyaH#uf${}7v@O8xJ zUgN?l6)kF@e% zAaR)BL!v)eytbL@w3Qagg9Oh}t%On*6zW0R^NaTm1(=ciOYkDWv##bZ>-)h4<^(!J zHobO21fGl5?W%~txt(ce+N~&R%pv=TN(}9iH6nPKz~kU|ev{LE=Mcf)1n%c=xHM)z z;sW0+>)JLf<8$hP{h#-$+e2ATdk)lV!bp#&;Jt?m=vf2z(CGF}B=6{R+X>ZRKZQRY zn-2$X@CGAYb7d!U8*n%KI4FhzTkaYfT#lYIq{r19La?5@25ig-q2r& z0|w8BVV;VZ^j`E!g2nW3Y^`w{BXYYpZ4*UH$ zA1ho@`p%x&7^t=vWyx^z{GWgS-9kzI^!`McE^}|$|1A;v#a~>zcPas%wv49RFDz4kr!RqNy84|;_*A(aLGEhGF zX`2K$qc+F?rOJmX+n|TxAJeh^hH1JXa*t zl0nSoy<-P=8pPEZ&Nnhf;Q79#jeeGK;CsWr&sRPbs^3k_c8^<;-~X~K@``R)FUS#X z`h&U`=W83s{#d}qFpE{*K5M~gaQ4iM)d9Oy;5WT6{fng#LQ+o(C)O52GB2}Razz$c zd1PO{|2-383n!&R+QM+YWgRoGY6KWcugEPq1i)dPxta1EcwY5hn~g|CCUjHxvAAE( zhtA~he;TuJUTl9y;pK}-@UdR5zF8z1GBSsRyVas$X`O9u*Lpaq6O4ZTe*Z~4Kl4Z~ z&Z~4+96XBFy_p-C4Ca>Ke*N~&1okO4nWCLx(57LW71omkw-s-cDzb;b!_kR1KIJYT z-5PrS`s*~Xs8OB1$rlKxIqYuLRz(0^%>4mV%S1BoDZMmzC3sa5>{QshVzCc9vF^~E zwH7nF43^dOm&L`?;oJ^w>9i|xATlj;X|JaRY=5T6CGa~F_5@sC`0+CnXvA*cq8iEp z%N;UfRo;nszYi>j|HuIM2s5oxD1x6y%Ngn)q(bY5`_4>~DS$s!SoAIOL6g!jD^9l< zMB+!iI5l%2U+#$DlvW;G-?=IC5Y}z`^)dNyj$DCc|J<+Q2XS8VFm=_l_E`9FUGQZi z)+G_^$o<8I*-@N_A=2R##_j@4R(mheD9dr80 z5Jv7#S_!)@PV!+tVSqRN-QaO#*m6yf(WB>!$f>{rJoU;$ZZwuWyi435g%KBzpG5oxBVN z8<{hX^jrnSWp;)AiB>?#Hebs=g6BWDzSQ*2T!9dJzE1}_)4^dea_P2jI=r4b#_wR7 z0H^b>sH1ZUp!m+-YV}7de0n85Glz9xN|h{{mqoBnf6r+hroc=R2it{4&1-Yz5P^4` zRf+KieOcr_n5uSTjJ=;h=ED*>Vnp5q;Y&>T*AYG^gdUc_Sz^A9xQ8Xq>xjN?%_KqV zv~3ajekq&2CEOH@hbQ^rr>$>0k##}TNoSkuBkNqOulR@Szv=prr*1holnGM5U(O-% zN%m3AmU4;`xWBt(Q%-X-{FpA-mUN^D%$8%`VFPV2D|$E#I}2Aq#7enHiJ>`W-se@;L{w3*O+@~WB% z&f%ON_(1!4ZyH>VIFuq&VTy?QdvZ(7^5rf(Z{gb|UQ%I?^&D6AFS_RfyLPLtC3_ZZ zJi*FwgeDrwGqZ!cd`n1vviS67)3@`3aPZbQFDa~#tN5`n@F@h=jl=DltBOf}x}3;! zu%r>sca_49*D(S3o{{rYyK)?GoAfx!N5zpiOzX4g9*=Qd zGT9eZwQOHW>c0ws&+pz4$NAbsU-SYAv4+JalKlYDU&&iDmvlsxko-pU4c;w9t~G`y z5z!a0MV^qcM8J+~Z-P*+`lIdFdxSP6wE;x&38^L>%hpwj-SbN4&dU?9J)8g2}Nxw z$XA%~Knp!$KB6y!(3I7a>VOe_rS?BERvvCBtiUi=W6cBoVVS5kVe~=Lvy0CrH`^iu+BDvw4mZR$qtH5(hdf@_k^604gER#BXLq50KU9><}$uU-(w0h@9&8Ys{bz@qq6&JDY-azf-w2jwJNftL;qy?50?wv8 zBFM^>Rw(_H7W!imYU8!l1$OB17i3i9bIsEDkUKUepm<+uO97P<6f|tNGPH7s#Ms;@ zZvkcK^I55waMc1`Ce!%xJ0cJ?@sjO;ycO2%*(~u*<2>$vYh-feo7W;X@LtU$&5^?k zMiag*vY5D&{oT`tIU0TR9?-y{L90;Ak5tx|R@*G}$o=^#dQatDDj(QbZ^X5nr-j1X zUf+|+Rzz=Q+B~;xy9jhX8n=0(Rgj3s!40$@+0auytz`30h9F(L{mD?3E?KYBH_LV% z+i62SZ%~{ueOH$P2>Wn|7Y&)B`4LY_!3=+h@^B2gdFv8{#Kd2>x#fbC(!>@dma%>) zLGfH2jR}lHjBaz|X;dyTUCTYAL*j?y4~Ng~yWEk#=9=|aN-lW3JLlvTHA58W?K-_p z*Bx<-52rQRYojD5Ry)PT)5!e#&&cL$M-WTFX|n{JGxI*HkU4za7HN5WvC>v?fgAUK zbD=$2=!~BK>5M%d@X~zJ_K3R^5IEQw#2a;JHk8D>ZYqsu`NuU7u@7$6u1c34K8NNu ze{kGWh|gjF<^K{naYUX7;X6(E6B7HJz*#~UL(ESS_proy9nrTF@0XW}foE5rI*5x4 z?@5+-LPT8*MrOK^3 zbQle$|91uuYv8s80u9S+c4 z{~@!t!U_u9%6|WiG9&jl)0@q5`^_$)hDA;O7_4t~<`tgE7WP8~4-j}m;4Kyh&cvZZ1RoOpfobUtmC9QtBo7ii7kE?t=-6&0DC#>j97$nE@-M-Q z1ka}Qt|*r8*2n!vW2@75XCUyLUWK;(y@@Nz-YCNuw4{li<>|kA<>UecFB5qD%C5?K zn~50^{7vA#)5M3}@Wd9;>|k{KG;M``%}(p-Jak226>mqI%n#%5;lnfq_&(!(_m_jz z?j5oO?+Ct-8*8GrLVMkMPKfNbK#QI4_D?K2A^FQ}+vxZ;5ieCt_s3RyvM>6ufu=rb zT>#?4MY!5h%*ei|CuH!?bh#(l4-oy;3){5=4O(i5;5VXgC|VBg)Dm?AqCdFs)~Kb{ zDi|8I4~Yn1KiR0X3yU>A_@0r%*kSS!_IWmIE$HVnjHO*=DUzkdE3SD9P3%7fpPQ)#@%%;CQ2;6LYJc5WtBY$>aQCP0_fB>O>$26ie=~IpPUy_YUlgy6FdJf=lrz zC(b{cJzIIT-5spA+%&$m)f-kDzDufa^@qd1t~{9cHv6A{-!j+!)(rNGHS~bMy$}ZW zt(hYa&9Tq%lL_^YQEH%6ylm}cZ4Z=wRAIlA4Ul{O*8nP!Frd4#`_0#95s;gy#CeX- z9c+a!#I4+j0?h;OuhvHTfz)q{72|pz&`AvQT|E^7RWDXrR!?AGfiVrMZr}4T#UGMx z;THuuvfK;eEZEQA&-97~zE5zH)~*{|P5{Z->FD zuRI4G+g;#s$b!pDRznbRH8Ob-9uD?dALES1JmD0@d+sjH5a6_}>$T<%10tXO+Vhsq z&M^&OXX~Q(SMefO-XgjS@0Z-6HaKL3y9)cFZ+ND4ywew6v$R;1dvT(pw&ez|_#%NO zO>*CxkSJjGnhCj#ef;XOn-k`TgFupNSFCGWILs7Q|Ei5j0-2IU^uI-+8AeHU{2{($v*A zrND$YI{#qR8*0WMw!uUwx!#w$pYin*_8a@h`+|?y!{VJUk^Nm;i|1j(HEme8Tu7GR z?E@>KQGyb2UgZANSa8m;v$yYypjq!lPIi{AOu; z#6lgZmnr_%|8p6vw{iA{jzj`?tyIYtt{}Ly3uU|$4u$kPHK(p?;oQ9}(dqPCSik!Z zKkWXhS_!-0xrSX`yMF&jhezvc&$^yiLLzMmr}UHy)URrL26bSc;7F}00qF?nNvUxY zla7K9Y9+ZlPhmZw^0Sp1zhF35n`<)D9t4NnWPQIe#6e~Dci}r}mQb+Wv)HXCjKo0} z)vxlQO&>dg1W)%c?FBhn+sXCB#LDWgDw#?~^EzTsazmet^Um8z` z{gxM~cZI}}_|$!6rS53h|K*#TUSb&tfqP@#OT2c;;97l`UF@_M*mgw>7yb5vZmtG9 z-cfc$)X#(VnBw#I4S+L&%cC6U%Lr;IAAQ1?0-@sH%P0hoqJ1Cb^I0!MK;3lG>qq!I z;*Gn;`DVKFNHe$XsQ#Kc)XL?5j0;G^d_W~wCt`xEqI^%QWyF#D+jDT@b)6RWy}5I> z#|i5jcFnjNNqGg5JV4+Lfw%rF{8@SrY#~hbm7k7N7*w0`$_eU5f&I_Uxz^2=5XsDa z{5|%ki)^c6tf3D8aZ9#?!Ve;#l@@WH&v@i}Z^sdw5CLm|-RMmEWq9>is)D94@ji?!H8Y&prR) zhQYVKnRB)tptf&xDIS<8 zpO*{qQo%LWy5m)9!SKB@{jjfqIY?b7oICG>{W1UHGQn3T_o;In+8Yg>mnlV8ZS~RX z`?v4(;#{5RT>6uSX5rwHbXmf3E&uZN&Y2xk>J_F8hMQ{_Eb34yVh4OWJcn7%dV$< zo%7LfcfBcQ_DdMt_(elg=jToGGJ(gY7qj1+>GIObZ=4I=V*LBPB0d*vFj1Zk zvW9n`hSlU3J-~naWb2O@>{tJ^Y-rv z2kbX1isl)zV_>{T-*<~Z5?Cg9ucatPkiJU#p^pr9VEue2O@&H*0M^lR@`rxLKD7I{ zsQ&6334_>U2F(fr-au=*HrF8&0aB9ko$mO*HwlwaWSNeH3lH{KIUL4$7hh&;W4A@Z zw=AQ$GeMD1#E`dzANM;4`>JK%{0ae`mOJ5^?f~shF{!g zUpS($v6Oc4{Qvy>zxEZz?8p6;f+uURExt#tZe&UA+Jp70Vi~(d#?+9e&P(NI1(wkA z^X#=dov!G0v03jaLn(@&i zsyGCGw!JuO)9DB4)#2M#UgJ5GT+6>~qM`6Knb~(sj294d*rkeR`M#Kkz(m4^q)5J4 zm^;+@!(Sp4c%^j2*XlyyRquzh9f|hfs5kzRQ!o_H@_P$uDd7C@FEKMAYS>?0nt9*e zZ4NNJwLmibNCeDyA1ix=^`WNGTQ---21C5=$PhzQD99R9?@Yk=?(eTnmnz|Z?^p5u zshCzMh}B=(>D=!Kc{&;ePI&%hc|BtGA?`yv#Wd|^C~!ac&#yISm_2#xKm-gwJL47K z=ms)RWfM1HeQCzd181~0;6Km%+Oj+atdkRGw2bHphPpO;6{~6;Sl9onK5|nYJw52T zeKU<0TyS}SM%2UL#a+%Y(ez|+){$N_+!zI~lUimv@%=8-wW_J-m~V#59o~#te3d2E zH{nTYTIdwoc7DsbLuOXcP_W*3q(}`ojnZFj&2~l12URV5$K9bUC)>bl65mfp{k%J! z6$@vg9;zN$!#PD=o3`Q`cF?`KWy33+gT&}f-#=a-28EyB2j(a5hm^)mne2EDRqlDm z$zRxSe%be8^8{rmY${>v&3d8?$}f^=j-Chw>y$Rp?g4+OzZ9%Ifb(Z*cx$ps47ee0 z^AGd*_x9u(p%tmw>y3Hq-+4}^tpTU<10O`(&pu96R`Gq~i;fi5wQ)@O!Mf}2ptJ!G za)0)f+!#Fj(gl^2M2@sHh62lhK9jGd*w59XZr0B?1h{_m_w?o9+?Bi&KeL`}g-oBu zvOBLOkOk|Bp>Qr8vR)5v_4wO))0KSQrRLt(-p%1~ic{~J_=k8%wp$O6RtrKNs;P8Q z(+Fd0Z#-exJU^kGLL}?EF$11MED(&lSAgkk$POO;cAX5(nE)?W&HfizD%_ z?Qrry9QI=&_QAn*YSn7f}gOW%0|D3nZ>fOnSQdI>o|+mujLb_y5DE zr$1V6aABRcZ+@kF0?y6y{1X&zUy}rnJU7@SM0>yk#$PYYvEOp1*wkk~{Uow}`usMY z+qKOV^Ta4c{JJk3Hle$5<1y|xmgcWLe7g(r8oFLr!gX-4_raBz7B4XVdtBJ~hfj0!+rhmTqprb1uxMwUkJbLPk^-87=SGmHW=v7|8fS5VD6}!aw%ibIGtC>DN zD)0hTX7^U=r|~ds#&G2YlPg(&&?;fJ;Q`iX7xNyM$MY~9G$#zE{o{e{IBae22>{v2 zoDJvI65x_^r$&Q$63I`OR)_BG#B-1XUyglosZfXNme5AIIIPF~hZ|Sky}u0uZlKFh zlc7Wz1PteDWv++f{ONx@+`|y->WA~DR}L+I2u)ysTkSVL+nQ=aCT-yFwGW<%C*wgz zAeRrkDVH|08`_gvHTPX zuw#Jl3uAXIeEol^~Zqxhj2BFFMu^XspCRqkia5 z=02qB{qU8N3i@}6-}~++MnLmGwKjjezS;NWwGnb>`#_NienrldRuy#?EeK88`zHbez-3)o`vu`{+B7kZX;s$Mb}Ta(cF&V)(pqv&uBiw zS7yfKK{^=o#nTLFOFRAayUm82p``6QqN{s19WH_`VwuQzZgiYx+tTW9b4issu&o>+zHA4~$)qh!-V0bYRZojPdN$@qUx zf~G-@Jc^=Bm@#z^u5?I-DcLUC<+Dg1{>+186z`&8+T85rxrt1q7p0~(keUk*lPKyQ zo=Jo7fDm#2=tR&`yrpR(9|P{!7m~fH;$TB_FqM@m9ENkpb-!n%K*X-|QUVldzZM;!PrpP#<8altSH^J=BmQTpRUsbN;g^k1DGB?L z4BaC;L-7{K?~$xRY1KOcw1P(X$CA?Et+EpDkL$tU!;}9j){y{gBL`LY)Oo>fr{8nl z(mHTRBd$-;A`y&U`%Ii>kAjZj7WSQ!DPZN#6d1pd1U!vlHuG#T;D5(@kZQ#gb~75i zd8{3PpHpor?P69wP?{gv$Dkbxznjm0Yp+DUR<*rZ`Cewk9KJUllqheQCJ!f4mZZXC zk=O6bS~DSo=D_3JkI~>ioS&V@bP8ZDprlEE%;FG+`P2>AOXXx5V> zKa`uX-Dc9+u+dESxo%$uIPZHkZ7(- z7ly~@3Vk7WNn!vTcY8}0xkiA-L_Z1UtvvV^({lD#bS8wf%~_u+&Vyn$55MSRG{EqV zZT3K+4mefUJ*0f)h3BhzFq3qyv>X0?`E5K|7tPV!lAIC0M{FjV*D8t4IPFPXNGdZi z-)n&5xD{ zwcSbID1uQAK?P?+Ke(C|n!1Yg%}Qj$Qzy96Veo@U+-1KMs2-)D?K^_zFk$ySbLL18 zd3L(@CkFw1=(Bw9q5Fq!g(LrEZR8(Q*j=68pbmp0liZK(&^yvU9L#YI`Fhwo49B~i z$-=$%NGBAF1DT!l;hv#%P+uSae6YUszqo4t5q&@}4HO3hxn>Rhaer9MUvJkxzX=Ry zG5tDB{|C!gY@Z05JH`62*gH0M-@)<%%aigQt8v9rZyeYA=*fXWy$EhhYd;^M$ieaH zVP`ifYf>h#xUNmpdB=iaS zWSj>uyut9ctvdPhwFA-c!n5@UvqwCXGd`f-sZ50=TCeo!P&9Y579pS0N`S9-8C`am zW5DF->B8_6=`e9qFR#L%QPh z`=tf)liupz{ipOl9v&Al7xte|1livgj%t)q!J5rWw!EJRuSgkAZo66#b32FL@ywvS zSZ6ruvZ4vz^8>+8^0IJT#`ub?@nX8{QWB_iE6<-ar6%?%%@*%N`m<@*yFLssrb1}< zbR0)-HcZ67FP&5e=WB;>lr8F3wNnYS#CQ z{hf%}&$WIKBO^gGocKxSdlWdjCitc0M&LM%@gY_p{0V%WB=|xcFdoEsZg=yAhaMpW zm^0B+RsJH1^DoAW7|-4lGzv51Cd z^}~4?!{gW{C82#@VK{$dxbH1ZWAocL0eqEY$poyB-^0$L<*ySCu+2K|>3%K&3cUP= z>mP=|>o4!C7*@~Yypz9huk#&^6SOoMRjutQ0P;$R+Ya%EoHv~Fmk%O6tZvFT>yv0s z{a;-qR%P0ixvLl$xP}KEgY)pZh|cF|wRkDQ?SJ(ER$sZbhYM8j7UKMd)eQ>@s`R{f zJ&0IcaA~YrDHOtC`+2Hh4SG)tidLOT8jpnJ_gN{a#$llN`2OExGLdl2aKu5QItKVj z+h0$~-p2g`QhpQmyUry;VZl4+H|JwuMRmkF80iRhX;9yYbaetXvy*3|nq1(fxu^FV zIe3W2Ah|N zgn>(^L^&&a{;&J@3kJkPK9|x~UcobsSgn*h2l``kk%55dJWbulMNmd>a7_ zy-y|REnNZAO(@-DBiggX!huQJKMu%GjqI7#YF0@+j0QB&%d;atvk-&&4di<&Ox5Ce ztt<(G3Oc_%(Mbg|y{J&uz64O=UN!6Bj)bS8GUVS-|1)FIp7>=?7}Olgyz^(bKX|Sd zj}cHmZ_fF>-qn@_7+j>iXx@$H*srAZE)wE^ndG}iA$qTC*>Q|qIuruF7ulFvPKN_? z!p!Mv^iGQTE6K?}>#ekk1%swrFLFYIfzsYc>K>Zo#rW%i-u8jScL6~EwI)fxG#n1g z{=7srg7%rj^;y5l+y?W3G*?Dc*G*;q;aN)x1h;4X2~C_x2Ub09Pp)zl(B^(VE1(_- z12@hMG#IEsp;qVLKapPenOSIOsTt=1msO8%KfM+P#A!p$V`Txrag1f1^Sv&y--7v3 zT3Iyu`_y*^DidMYFjOWN&1;uaznVA5K|Xt<2I{r>XurrnFlu^l8XP8hQ`13<<{UJ~ znN|JSQ_k_ONC)wJPe$|W3gqt^8BCbkNrUe7*aca%7vgZgnPut@ znopPN)mPp{1Chejq`Piu0jJb9!)r6NNBA#a-<|F_(rjpge_#9TIw~R7B$#?}S8opa zBlx)!!uJFj5#0zSR9Y2@aPm>qk{i;|pVXRK7VtxU!`*)wbd4gx@8{u|F}4tJS01L^ zFPe_y$HkJMmbY)>p`_^RIWM7X(Cj{C`K!_g?v{922+{|Fn1JpR?bt+!wxj;pX@Gvd zE4)Xf(LJK~O1FftaX1`Idn9-HXao!sv+WPD2Es^}S0?p0q~}^|^SsqS54^bB{GUvR z;5f)UZu)pq)*Z(?&)=~>eB_hyI5==w$SgZH2|OBf!WStE@VIh6#Yk!tkqD83ZiQbSBN-`FYcp^#X06Tf$0)s`gK^oV*9Yz-UK#ZhxK8x_c|;uusk`Io?7_W$_2;u zc-gPy74uneEH74eJR}*%C*8+Gl~EZCtOt}Wd`X|j?z&y-&jIEc{Ah-VK39+NUemzmn~M}LoezNe0I^$ zed^-=Qz~bOR$lk^{AM>I=CsKCFyX%q3ZhR)bh$HO=zj0i_XKNVy!^Lg>f}jyeE-sR z%$dKO2tU7;S?!yTMYHjwP4NI1Hmvn#oP)hC43b% z(V?r2hucpb1}`%x64`3JmcP+Qz{=XkmR>aC?&4Nq7kM@LKV1IDSC^GnNWSL80x4@N zYq!`j;?JiZ4-83>ALZ6JSih18a=yM?1w$zyir#2f6GEWl?&`3eR3gsTV|@1y?nZM( zhrXMHwDbnS?}Pr=Ow|74C$=cZ``IBz#CCQyHsYQ@h*^@{@7x#)U!Gq(qY~O<2s)^&dV4cOV0k$kVp-{`5VLiI>~eKhF;-7`HBBs zDB5S+d245I^R_0eXoSc4sbtFIpRNxFK=XX5;Z)eSH9f6Pw5Vnf90gY8;++Y6K~$nVqUFIkE`a0HnAm8ftA zJ?Z<_Y0r>vb;FV?EAo%jrj8vZQFH`t`tRqH>STzRzm1ga@uf#>K@d(n6R=yt6AEa# z51c1Ky0!r!^Z}nQp#A6)R{0e@7=1<8cdo$%gvv4sWFA-opMST=Au&g&9f%Q}>oS6_ z6CBLVKkb0;_E7p`D;sd+QCVDjjONyFZ3}qavxfAQ8+46y)^O=*EXkWjOUUzN2%eO& zhdO7So2F;%A#Tvtpi5WpfBt->9qAD2yUxJLAk!UPg7j}cNQ=j}JHsOa@$@YT2{`9l zoo~IY4==|jzB6e`6FHK3wq7`TfFkE=;RS1NsJ(DGT07AOqCA4l#dDC}$!_logEdFU z+S=hC(YA-?*KT)dw_QMbwD*!?SvbJgvlI7p44{umjbN$n1COr`v&Ar={U<$I!_rbu zctlciUTs$h=xEA+%zf<(M~S+^!IA+$dQ)_E@Qf3FHaYF*&Gonq*!ipPP_p_ySFrox zx1{sM1Nv_M5hUGX4I0<3up|UKL$KgRmwSsl*k9m|FO*gWOb<(4Y=7o6q8A7mZ|;9m z90(%ndaoyYJ>bi5jQfciH1BwD@|Y8)JM20Y8d@9{4BDzKntj}1&=IsO^oP<9IP4CY zwl;Y~!e{9N!L?}5Kk?q;$3lBx{rfvYe%KiO`L_yhU3}olAr4-}==P7uf$W)2?(C^?}Kojz3#R^FtD0yYnww0_L09d6jLf(c2w954oIi zA9DbVudsIsg=>EoD{Rcc^pTCoh>|nNjIP9Yxfnx&kEr_GQ#A;&ReyZB-UDj1|90Lz zV+^J`yd@9l?BMyOEEdIl)VG+4_Y2K12B*XVW$R@U@J?v^SjT9OpRmZuu`kyaYBv(w zn$bK?l(S?Wm5KwjTYBZXU6BN}#n{)ODcIikAInn*1X4Wr463i^N5fa+Cx+jr-JIUeU2&SHKOm@YAvub9pW zwhxQ_ezEyFtPhLj1(qkIQFjk7Ia}hmPP|;caSZiG6o(b}+?EQ$@#!w%BxizQD5O}} z*nIlt0xr9nk9W<7Ksr-l%U3HqXlmQ5AQj^X8hPgD-1=mRSpNJjbEsri6$gWCp5YOH zG~XuNO_nqt21^Ikeh;?O5T9`l&Zjy1z;`ZHlUdLtPO|f7)T#>*v*O;_TwTzG?|rYd z`@TiMR&lHYm9!|anuA=7u_6$UZ*G=@S{|*wa89uIa9Xw(7(LH!aL#bTc>u#33~!?t z!yf4V)d5rg$HDBV->4l}SN;;!(<)8jW-K3X!^C$&ue72M#7qiG?OJky_qzju5&5eP zQ4R<_6A~k0`L{Ink)a~b1PX4vO5GKu0hYJ=uRPBPg5iZ@o?_Si;FHm#O;a5^q=PPf z;n>9poS)h*l2m?haEAG@z|(D0-muZYR(*R9>TCVO4d>vyjz^WuVDK#y#VoB3MEd3T z_o%z!JS@llL+PoE7wo$GTd|Xgov5muZTF)g810*6rHJ0R4uXk?yyjHg0pcVp_6+HR z z$G$&W&q#5CM#(rzA+w$DDd+~jh$oecs+pCS7#;Y)K)vfael+<20H$X?>(19h**6P zMaJx~`X2RtwVl)E1_`hsm)Lw>D-GsH`k0*dX2Wz!W<>yLI)s-ELWv)_^58N-QJ*Mj5W zLB{dVh8*Z*7$_RJ5ts@TK}av_JYke*XE?jZZ>DNwD3h zurhU<048pQOF1Gbpv^PXb{F-pEPt4b^hBWfq3A)T!kqwOJ0neD+ITwh*WUk*k2Dwf zT}n>JDW-#BBW?8~?Q95W4Vw-_bvE;~*8!W1Y*^0hKHiy&{A_2ad@Sh;;AD>p`Q6xX zqUQ1RX|dC}uuwz2Yc@O|Ua$>Uce56N!{51q!-@GYOy;-H6_^WIOx8OW-{iv~^X}hw z_M>@;e`g0R$?vlZrbO&~#o1y=3`Ke!$1gOhHYCD6vt3Jx`_O#<`s0rmk0-&&Bxb?* zDgscRzwc$?7lP|oJ0EpDq?DEj>I%}KEPm)|a)^&tEm0-GanaFV-y3(d)Q30qXgOUJ>pKMw|_ z>`bAtum4Fr+M_bqIi_Ew84k4feytcVqWy-&5*z#9*>LsNe6RHTWYAImoOBfFB-D&k zr4@+V!86Ha)(hje@iVCIyyMpv9dNr^eOVCA$8kw99}hlc3jQoyT{QH*L>->tUMJ-U zc&nE|RMbuZU!(LSOUg{RQF=x240>-Seo$9)*N%XQ(JgU$`(f1}WKP-IexKH zW+P$o;jMBzw_rRzSzUw;Bp1;9%dPw7OcKa{we?Knxqc>ygEbi`gUsskJz{x~Y|nIlv>EwMZFpT&@=Stu7GD-yjZ~zYr^dHdkpg*vBE}*# zF_7x(x%YxA+NVm9)^psI48hkFR879#2BDq%tq(bnuiR~}5JOrwq9*fSV|yPb90#j* zXrKLkoQ~ri+eP*d&fMvE90U(R#yh!mq!TnYKo?Mm$JP0n8F$O439w%*1O|?qf!W(f z7q%`$fr4GwzIfh9JkBwk#rz>LA0bSa7}KxAbWX5+SZp5-o14b+0_($I_jL@{c}x5y zc9rKqde#RMYoxz};Zud;t#gu3lk58J>^tIZq=apuV^BQ;Sl zoz{HyM?w~!KaVNPm(rKLfYkf5GhJ!~tWu^hwv*%m_t){)7oB;CN$PF%Tc!qSU00VZw2yL1aAbGrSAQZfp3)!tmWao<@A=Bfwec+;_5=OyD|vlj{~s2CSAcUOC|&3};gquZjuB;(Yyed?%U3fBd)bkMl3aix|%ab?Fp(NaiAe{M{*n4cyYr%>}@C=i#R>6-5V7|Is8W+}tW3RyNF{ zS2e?+T78W}fhP>gWTqD=BD3(i$UauMI6Ec}P7$sh;;G2P>!MvGc|w{AIe0yQ)mQf) zIhfN_=i&T@)eYAq$ZR*=Ly1^j(0zzRo?$K%j(d1E)E`O*lj!KTV>#KtWXh6y;Z!PU zdp(&u{VEHv{1-v5`bzUAfca7Tm);f57Ac30bg}U%x&q{{Y^@+MR0ug9(YymZUht(N zW1|oCwX5AKURe_o;bLuNnE0a<*dr{EzEzzGA7?)83rbD`%QX5f@?WXY{ioYd-6b7d z6~cd)qd6b1q*i6c*D2_|vWZPnHyQZN^{Sg}65xcnMciJ2B+!-O9_gk@1)bLUC|bjS z|M~NChZ$S8*>YeH^?=pGzu6#^YD^_2o&)+1x|Tj#XhG{;!MOe1Xx@J>4JXH>2Qh@U zrMaA@0PaN|Ydq^x1fpR+X7*|+phUy_n>wu+BsBWngO}0#iol&Ay+fJ6-#OYvU62cl zo4$3l?X@6yrI%;E-ws-%Ce}&Jib3aNg-c*t5xltjH~SFsw^p4dTQ`xago#7`Z{>)^ zAY-O|F^0Dk=J`HH`QJu$_`fsz6uH*sTeRQs?+n;1s?W*E0u`FJ8|&)%sL$M-9D?)- zi)nP;+_;$ucjJTTb{^${bKc>oCvwOK`JaA$u8y+uP;3G0OV(GcNGXM_>^bKH)deuK z=S+~nPCm3-b1^cYIfOkoiJ#}K%i+wUW__!^DqzfCyKcBs1lMV^e#mnafN<5DYe8Bm zKzYjlXysNalz36xqtSPi-PMLlA5iO_PVYAv898$bC}l}FRmN&wTr zaP{8&_&w)8eUyokM-7sk_Mrau>DTLHN$|qr{91#20v?~k2cIrwucrZR7uTN;Z*w4` z!MMLmx*BYBKOZ-6s({fD$4Q4H)$nq(=lV*QB#cuYgME^Yz)X>^H!2g2=WDNhU1Ujw zH~xJOeoc5Pc%lsUMm7jhvzLI3e=~7X%$aC^=YDvuXDPJ26g>QqwHWGohvztZGojzu zm*Q1@CaOP8O!Ov@4&>e0^2)v%96y{P(cZ8v7rx%;pBQ*q4_c~oGR?Cgpjne?e+~H? z*S>tk=zUU;=ix2QT)=SfOD>O-$+IvV@6Nx{tly+7#p7T|NP(4szZj-B)&$;A z-^1gItkcN$k+EqU~v~P9FNXI9j74^yf#W{wvm_Ka6KOZqHUol-` zOur8M{bKvD*xm$|7g(NP?{yfimzf_)8a22J{l_X&w>ZmjeBxmoJd~MU3G7y;(XOaI zTC#s}*UqyV7%BF+yhHs`|ECg*+#gb4$Z+;gpOhb-Kl`?&;$nK-fw6U4Rr(A8TIPAI z59-#yZ!N+2(O@CsVQT?#_ZFm|*jgv^ra_HJ;YK}4Qf*2U9=vQEwH5%M^v}92JKO=~ z)VR$<$GnM`nMiJ5`d)&^H~p)a?jAI+G|9uex8I=vTD_#Mwo~TdJb>X1hPMIEbH7v3 z&soZ*bWdSdE)>@!lLpBZ!FsRq-m1x9cttmP!{4a@1nx9m6grau=Zf99BkYSn>7Yu( zD%uai@^6XSSU3UA;oSVd0~aYGA$IMuX_HAgi0Al>yuMxpYZukE7*(_3fltUTy)U&m zKPAKyhJ5yCg2O)NUw-=vVc{A5p#0M!95*HeV@UWZ;(=G`)%u8a3~X_2_4A&}!Fl*y zA&ud5b3W`2yr>|bElgbH5dP&)Q4Xh{&}6hCz2R6hsY^R-SwLy(vfHW24T^fV2kw+0 zT>Xd37+=YD-A}w|SPVx$*Li+hup~ZhAE=TcFM)Hb@dtE&=E2CR^j*%o%i*#oL9~}L z1ME+SCQfRX;(RU2LH^~JCDN6QbmV{Om;^d|Mn+rfs&IaK`{w<#<}&0f$z+soCYlJw zPIJ@wR%!6FE|T_3T`G>l7$0KwfsV|*G3LkiI1gexC;fDWSrxr!FmnB2I*a;E82@6t zi1BR0?MH`y3fIE3nSG)j8lE_wf6l+LMm<{s7M+yl4BvC$o}6%a)m9SD%NQO@{x!Vo z|2`GxZw&W~#Ov#n-={&_yVR4eCS_1bc7rJFuMcT|q@VwFLvzvLa|XfYNsy!4vbga? z6foW)eLooRW}h46h{y;erdB~P{m41iUxCn;KuF%-nFz&`8>{fW0I!Qcz$(9du^u#q zZ*0{BRpNC~z0}ho3#kIU9>D6Wf#*F9VbirZzhQL)(_)ajmXaG0s|(^DijM2dB*Wg= zg61luW1FJhsw^jv3EEc&w|CcPz$UqW$W@9={9e~izr@GfhW2NLj!Y@&mq1h5{pJOZ zB3MwnI{!U73zl6EFk2v=vU;?^5`Q=XET4@3sT@c1b`5+2tjnKh(3|EHP?iIQqzkr{==XK*2=(BZ*>t$a_$A}_ z$wF{9cs?ZhBn#f2tR;7&&j$bW)?+G+x$tr@^W?6TGSGS;ky60wLR3{e79uEG2vojJ zL9ZqY!Om=*!qTh|o_W>lhqRQy^9GAH`Fn+sHj;3IKvfJI0Ui1XN<9?I?o`m&wz^uvL*V-2r%+q?le1J0mye9u{!pk z2HiiY!}lVH9_^>@vBGJ=F&m;QB&mup9J8&$9gUj`B&du)3nz@@3@5eE3{weQQcfH z#dTac9nvn$)wQZ4z7dFzT^EnT=Z3KP@Rb{DaYTi1*jd(-ZQerku4S=2lGv}AlpK}wXG-7!Z3}W(X3ai;jA4yk5xFRqWe2aGq2k+$o zpL>=XjdCHB(4^*byiEivp#bfQPly*q?qw9m6$AI|3(`Mo8DOkgavg$^4o(b{jg)jI z=n2-#6n`!NuI>jlcTVL(={&zrM`ALZeEYfe1==H#OA2JUT#y0R8qJP`qdMq%jNeh^ z)IbpE`?UL+E%N{VcV4W@zMvzUh3lK$2w*IwxonBQ-|Z@}$PIexNZfYl4=z-VgX@1U zuw}DG;qjR>R{5SZ*AF&WcadK`(P4{(UDt4^y@W=L7$d2AW^d1yFHnntfk*2=P)x z*!6d)UtnHO<`kJ#0KW{(hjurn!le^udD0{aaP`F586MIk$k^0U_?uUX&CZ3l-rHI#Oy?ojLE&Zczi!}$`ii-8{ufON>UbG z3LK__*BbmsWKd+KYP6x;b{9^TnLy|z5Z+}5&9-}DfSVH zaDGbRmeczCDS&93;X5#JKLN%hryui}p*iw5FSA@_6L1{H_zBnM0ob@T3e=%Ofc=mK=nWMH+8T?_>knB>^Bw~0Tu6jObGo%PIXURw3 zqP@=_M-S#dH1WrI8N*{TQlTpkU6Fp&KmNvW|GKo@nNvt#z5Q9JtVwYp*aUvkd$8;d zSLB(cXF8MNK-$`04!3ZyV}JUkhKUa_-svZBNYKj%z}f3fWx4XDz+iB$s|WcRXZC+; zx&I^@8k5Vyk6q2f>!O@(wskhy3fM?*@)k@g!RsP_O^F|2ocVY?fYn!TtV?<6tjlnI z!|Dc8mscEbhJ%P$eV|#YdTl))@ww5rr6t7-xPECDIjK)B*m+s~ni)fVk%hu-rH%jI z>#aVzx#txlo$a$t50AgD0L}z+zr7Y^;3-#qT7tF!?ESgd12c<2dg7IYcM+N|OMG5> zJT4L%Lo^e0KcoFxUvAmg@oAvar{lYZ>YW?zj}?06Qb8)=iC>3z2K05Um~8iEz`)Xb z)!!%|rH`;5d=rxjUi*4l^Ttv@%80h^2U{GRm<--~U{@lvr}caOypaOO<1f;cS@`|W zpRe$WojfuU;l$!A)2pu8aB^;{h&H-g0D9l* z88ahmK#6L#@>rTRQI4caf;y-KSgvI!@{^Xr74^SVWn8GPlbPt0M(=lQ!kdMzKT4p! zM#hQjei@uTP`LZS5b|mGcXCt9nxo4SU}u!BXAkS1On8?^ttg7_t9d_;L|V2df%8(u zgd{^2T<3lwtc%_uK9GNIXre?qCjb0!AJK?ho!y%c4Ab#Bq^zZ&_}f-~ekc!&tYzuO z98iB{***8PX&M-YQXIT6RsxDQ69-e*%YlpR9EFo2@=q`hqc9oBg3<^jYMTBu=sz^T zLV70ygq8A3^+J?`P1qlq_5s4nwTP;54C%4E<|r8;q&0wUh=m+ zB+?_Nr@E>s?J>X2V}13=Rh)(qw{XkBCuQv5@GTxg;!*mZTaWYK(v#oBil0@(j>Q= zc1Kn~MUIg1s(c>Yd++NOisqd8qJJo{j}*Y>oumg78>KL?e)Pgubl;B&KJsl@G8^`X zYz#bD%K@VkLt?+S^Wn#2Us#Dv1u)ccDK^kX!sJTHwRDd({LGCno;`|wKbWqz5Vwy8 zNB&K`z9T#HsaN`rDN)Fx{@sRI66iC@JhWPj$Kz9k>g8rsh$(S7i%3dax2+Y&uHa>!rdM$0tkojPFlAX!VSiUcphqt`hflHs)2 z$;i{_e#C9p+r@PS-Crzr*Cll307ov%%+}jv@Xr!lR5_6YDTAGviPHq2r@Q5{vsw)P zO?+%U4@`i}&-I`^EG%F&!o>FR;BXZ2lMP!(#me?B0ptQ%!!DP=9I(41ZY^2-`+Ho8HMe zsZa$HgN*AAyOJQZb;0KX>Laq~1}R9JC*b*WutfdXHlsImKGo&_NlJhlLDRcsc2`51 z(!0h=+bcw}%-C=PH;=Ro1|uMs*o)`(;e0H z0Af^6ZcF|`5gy-W;gn+n!9~Ek{`;@7VK&6-?WRl;E5LaG!y625!zs9B3l!4eY!T1i z7fKn>zWw5;YDghOd@u-+_Hc&pg-nk(baTOZ&~o3ksx(MC`XqK|cQKfXHz{aMTjBY) zcjo*S&4DCvQ58@OkBS9{puHh9N6W$byqZ9=Z2|IexWttbm4|%JBxeZ;H8?+6kFwQu zwxfQsx&z_TWIDXkuxULJS%~9?G4C!}Dx{A=pzS(|n>hbsyom9v&L_pj zl>Tb)p(wxidqcK%jD`jP#$$Gp({F;*8{zhheJ-d6`r8&)SO5#M8V z(U_d`nNj3(h1COCeI@Q*sM5iJ-oyX#8&)^Ky%+T7DuanwUGQM6xlO-~0QO3y4qC5b zKy3LV%N3VIFt6Gx#`P-*+{RD+xkH`+*c?WcZF8|oiXE}7ub|yAq5!6?7zRG4=R<|g z&U+h!R0vwq4k&9temowu1zL<3h$`;$Pd&WcflB23vkuWf*y0rsJ{lbXL-I^7q?i++ zxp1o9BNXYLrR2?QK8b>NpN_PyaK^yXFTSjMZGzy@gYAAwv}Y*vCr&gU&8t4H;Y%>e z3*~hg!X-XhQ(? zy^nI;$PM8Nk4D7FbWb>}^4@WT)0i0jEGSQWZwi=yg9ir;(x8?m)xYm1(mDRzKz{sq zCY0s~heeyj!lT1BoZLl`K$_(r8PSyp7;YvXKB(pq8UUs3H>1B!qd6TCvM%N>bkB77 zdFjb^5_rDkA5Lp6fSw`JoT17ubf8YFto9~!nzf$@qob0h0Qa6B`^5j2MQxmKRyNNYBf zXE)8MT4jRG0m}CQAHqT9ofc0|VQ$!0~HdXi!QA(}B&VI&NBW*a)rB!Y5+jFwJk z3cR?I@R%Y!9OwXa>qx;m&nowvg6{9dgerh)unxo5*e&6i#&UYh7_lb#qkyZU# z8ho|*uETF`gSx7=DNEMk433Nk7Kay64IH*&VUc} zSDK4sVV%|Qvq%=|Tkic9nv-YpFddkT>LY&KSu5hydBzGoKPSLII1<>#q8L zj{Hr9#B@2a-Ob4`T(2OwzE}hjRk4kC&liDihh@H1a}lIniG1Q6F9>emr{m{tJHSoS zYX0C4p?JQscgaQ8#9QItw`{_eCHzA^Fqc$wD$XKZk)I!827W7oV$;2zXv+e)#6Q-& zD4PKvJlyPBsR@v9px5Q?<0Pn}PBhlzPJmICTq^VU5*$DBsC8;CJ0`-x;p7iHVHJ>l zjCeRn4(X~3Dl`?NcSOnG9mx;av*8H0I!!z^x-azIv~Ds)?-zDUMoK1$uuP)OC4>H+ z%sczU4Qo?i`=kDTDXARz`C-hEJO}B%(I2br?Rq;sJT> zizPsjwO?kwItkh~<~J|q7eV(Y&5ajm-fNMRFXtMBz`EHp& zY+C@Uw*%6tTlSLLhvrKTS%n+rvs@y2{?*#kcQ_M@^*%VQfD@7bs&2eS4iA)Cm3YeY zBOk+b1%JoLa@cdejBx*=IdP$BmapqzJ|5rVOO_RGYnedaJXx@0mI;MF?Lx##;&2|o z@CL)%Yb5p`z8`djBd%3`_v_QZo5t92DIpVB>jvYG6$Zn`;b&(EsTuH5@+)z|0lnMv z@0^(JME;3)oO%tHb%|L1!E<55c=-@$`*T=*g2WA)NDXFHyz?RC#^mthJ=yT6J{`$B0i#Z^;Y<=+f&rBRQ+)ib$8zCi&2JXF3+~5PW z%=+B?uwdv>2 zp!5L|zdswzrwegh#`wzbRNTa)lX*bz%)n9R>qa~rZcY%smJfaFbV;`x3GhpB#ouN= zA4F*t^11dV!2s8;=|=$tIA3qctkZ0?=7Z_WyDS=fVMzbjQ=05~G0soEJpHcYNH3LS zz%npvH3&i}y2B#T9Bp|BCpSq|0*=ENA7b^v2}VVI*Ctz>2Qi-8x?#G~;-3!Ga@n`b z^u2NZ#ds0p+4;+n%M3jw5PxH4Ch|Zaj^}B6L;1FjW&!K;()f?=WatXo$HuEgzL3KPyOx_tCBF{V7Gn)re!2iv$rUM^h z;E9>U$tlGvfbmW@lYX;!k18CwZ~txhWg)cdb~dSa*+S9d&$Z58VQ?)WZaHTy8Lx|m z%Kt!6Tm?{fr*wrg7vgo%!(T?4`lwFE>H)02YOLJnQM6rx^BYz-I90msU!zbYV)a3f zun^z-eW8#`cJ8&OLNEk(T0G)w422Ho{dXyc{lPNaB<#{;2tHq1NOM2ITloz9xZEHt ziS!H@UbddyeoBB%U!w;{L?U6dcypHGUNjs&w<=*@4h!d**oO9&gZjC%S9>oG&PM_%rnX4Tjm?Fmumti~sra)9LP>J~E1QHJR0; zSwq5MAN8Tfv?n5BmaQd&%;&2tpBeM z^>>{y+6(C=^>&tI#KJIF?x^2=q|4lt`$^L$7(yfYG=@$g9k_q@;gW)L>{cRDATn-a zaU0#+tk^ugpIXMlr_JUT5{_6{ScFfJQOQu$9K*Ar77xYM)U-LHiEuB~nBz%95Ppi& z#XKokvjXg_(nTyLZ+r*^0-HW(ZiXGeWT!+?}(Qu;WR zJv47rPE1~;(Y=oL=xhz#H_Fj`8RZshXN_|V@V;s-y&)Ej_K8g&T>2IQ6=~Ut z+35Ek^4ugrS3U*EE}YbfXfr^v#yrWFz(>#xE&P)zCzma-|huMyxIFBVkN=w z^-`1V|Ht8p%L{Ywqr%|j$X#}2Ni zUFq{~X(vdr_P%@~#RL?UuimF-iv$g_4Bjz$Z!m165$|P>fL~|E)&7))!MVSiByTmn zfqh*eSZH1r);-z!h_AfyQ{~QyjuTs+V6a55q=a<2M@$VTPR|5@vFwro-BBUpK->$< zso5xq%Ri+3=yp6r#&|H2I}sqNUZd*t?J!Vz`)s>?1o;~5yLLHKIt9M)&Mb)2MFBaD zxciY$fxxM4X!Z>0(xm%*onPTa?@reSXRGv(&I-@{Zr{Xccs_nM%uFyE0xwuvc`C-j zdu4+})1?%66BE1N6zRB##C+3HtPjV}%R8s?-tAAseWos_I2q(dYrw95|FKjZ>As_( z0jf^AEPDBYaA#bqLAKQsu=u?4<<=~%xiE6Rv;-~Yw;4cZ5~R|QZ$XXXv<=1E|fb>njp zHPTD}#{)Rt;CTBtBAC4Uz8|Vb>$o2%j6pgDQgz9eN#NZ5Q@}#h3El|HHAWmrfadSX zm_AJ;W$K7AV4%VOTXC_U-7TK13r58re6$&3VOu zOMcqg@9UR=70yYhkRpAnf4GeE)m!tt)UBvwINig@^F3D=lV|tzX9!J(H4dqxU#Jpc zew2B71nHl0hwpedN+c>K=K?N_t|WMpQ>vX z*?Sxhf_B66dW<;`$iu%K)6I_r(XCgRp1HvU4&!`?=LcW%V#=*)bqF5Bd5*G+yyvM| zJmfx>bREt!CHNQTMVx2j_@ov8$mIf^!GQ3tH4_5Qi;Ugr*mTliD?d$S5&3rbXtW&W zLv>}GmvKC1776&JhJ2-P{>E|ty`9>ZBJ}4MplZ?lKfP4jJrjFBQ;LD3Y~4A*`DpMn zUD+Z0Aq+M*|B{UsvjfgMUt~e_T!RI;HK)9_U(W{B&KG;=cpRW-MwL10UI1L+I?wwv!t7LgZWr#`QLc1R%d0X)BAZ0BcDVa+4>4bL0WPwv?f zsb-Gh`9ap^*;>81Trgd~!a{vG4=TCGy?757!^<(z4?eAhFyl41Svp@t>`l!#nCzk1 z8x1eEez1I7uYvXHZsxV;)u7lswDftZ1QuQ@F4A>W!0sg}FEa6Xm>tk8toR!TEk#=) zZ;;;%*T#?W`xvV4QB1D(JtzPU{z8hm$2st4OT*HM8qHsgUFn)!$%EZ{6MxmB`b=s~ zNYmGpY;ZgNYHGeM3!3%cPsubO-GlhCPuSgL5S>`_B&W!N$62kleNKV@`S&kclE^yr z7lP5Qtw$?pp8H$}`L%cbMKE;Bl2pEUMPZqF_~cmuq#JVU+4fbYaLhZ?y)x}n8K_JJ z?qPgX3BlF2_wT0UL;7&=*wD{PXg(1%>wdc!BKmLNjC3r4M+tE(*oQKr&p~2S!{;C8 zfvF!==;tx5g4B$}-ZWINS>PG^)^wl>E?syxz!+Eyv(Cd8W3N|1+L+KPiRu;9SJjia zemsXb^Fvne@G&_7es=oqY|-4C2f|?q!a2zQT4?Hasx+$8{z`f7YMz)6pY|L3(P$UJ zU_;KXdbMa6>@jourOyeWvg3j6fyHp>oSz1BKo#uLZ@+aQzZgWLL((84Kxw*jnaT?>FsDiPMJb^}WGFU?hoT zR-HuqjG-Iinmf_=fq7Ige~SeacUE_9r{n=#AUz$Xp9$_Cn|J>{UIuz~Be^bNMG$-R z`6J%{@5A!*XTPgBc&k0V{U5fR< z=2+9;b`BPR`^$#<$&zxIS)UB;eOCp0SW>q4NM}R-=%)5xiUN?{oJe4=L~|5WvVQ(( z4=;r$G&~>a=11H)qu`W<{+@0QkkBet!+~dqqF-@U0C%Is50NwZz#+5EyEtA5c0+!D zhEP9w%2ljM!M+B%L8*xEdo-NR`X z^?lykVR}a2A0=MPfXf;qKhE7x20T7H%_}XVkHz#qw_9}F-G6l|DHF8nl|y} zNszSPx-;{dDqp(jQ-C@&q0zW3$EQMLo{<#~MCY=T8Rd{(lmOuM5^8Ze}cb2{=3x24P8Rt7! zfP+|d%+-l9uy1+OOCwPT=}t*j!>C@r{I=dC{WO|O2?~EO;+P8gJ}!5{6Dq+Vc*mZ` zbLOzqjjq!}Gz)MXobX8qOPI(c@Q%{J%ulSol86KSsJ4~J+ZB*R{>yjc&UGTL2J>Q^ z`E$!5quO{a;ByQ}{toC|Jd_SoPUdFzh)3`^$8q+=Gp*MKl;n>!_ zqLJg6n5UwzN^>DRnN#XGebE(83z5@Cd8`7EmuIaHG)wgknxfBHSh&49^rxg_y;%8Ovuy1P}M?1;L~DNKY^I zS|In7EGEJ^Jy*|C3Nihd)L@%CR+e$)+mX;*aPHN;G<^CjTr=L@ncGxF;4;ovp!qpR z-l7ysR(qNq_Ma>du85eqUZste`#Wh-?-KXKBEBCvfFxckb12 z7@PVs_dy@U{rTi(I>#93x7pvAAD9ZtnS32&mnw+7XknCo#+>Ua%!p&$vKFY{{Vy*X z)~)#=q+UVf19*PLTDro({h^-VH#~2+{rG28gmNT?=LbxTBKOQ2kx!wH?!gVmP-s%7 z1HBs>(DT z4NcRt>BrmRfc{nJ>HCu|;MBqFGMMKEU9&%#6m830OoW@9PHuXZ=*UGtio0g(Uwim|tm2PEh3 zGM=CF0-AC;LE$oAxGZkYma*IVKmY#bnXfCW7^*LB{>eNy8V*yr?=Dtejf63sF~@tV z$FV=ALw`fst>Bht%*2s?J4|lc|JZ54SfCX#@LoTb2vYN03obTMAX)SVEF_aaWBJ(~ z&lk}UmG(Y0AJrv=yx;%4AR0@|uRLKOF_Wm)!ki?2?YJSB2qoURzXVX9Pnw3LVfT)YPOL#8uzS)>)$3IlFnhaAQXrkU!y79ZJttz|e$!M-SU?=)2Cq>5 z*pZBIS$l{2u}IhxJRe6f900BfA!F^Y{o$Osp8QWGGnz#yqw2KxAyoEdaJmu{@*zP6+c~f_^OjLySOI;a^3qMGql@7?xzrY<{3$_)+D{2 zi-kdO#JS<1N`Gh$|DJH;K@^aX^He7MjD%o*8ix?&K)6<6Lr#8G2M(W$Jv}$)Oq`W% zZu?61JAhEM^=>nUAXqMGJH}|`3J<+*aGU+Tgf$CB8h+mnhdHBJ^BUn;c;2DJfA?!5 z2p==8{G%QKbm!a0Pq>D|`CV^Mj>M*d+)-`Lws(=>z1S;Vw}N#4{~q9Jl}6uD8*9Bj zritKsH83DfE)GJ62hHOl9G1pQN;K=kVc67JX1pZ|YE!1Xmy!O-B!fwH(Y!PAt#y1P z=^8+sX&+w5GB`&A?h7xRZuFk=`e`D+D|yF!yYZMYre4BvA?}YC=-=A^(*xDr@c1O{ z_8mK#>Iiq(BiIU&pPSW^%bx8$>7Y3$o8*J^mft!)3VQuA4b;OhuY7s|IK-q%rcA8_ zJ$o`d_xyGu?(0n>rn3Dv9Es;GmM)~}Z$WzMvecu=li6RHW}%|`B(DDY-uAO?BwHYq48)R```VUfBq>j zj^7kQuu`j2T%Jfrallq#e+IlyRhpRfK7d_h{mjXJIT9o<{yinus0#zvOqRE_9k5TA zE23V#*Msz-jSM$Yl;?h!BBQmqjG0RrP+j4SBjS7B*hb)UDbmNAnc)vA4~0pf=qpl- zA$S1C8ys)N1&;sGZx048)t1SAtq|Cv;0?Uh8w+O=+4^2Jod-wB)8k1#kuaq`WXWC- z0v_u$c^&fcaBL}+lxhzzasLd)`j%<6{gJ;NjYrWg5BOrVe8&1i3e-1|zd33a4VR^3 zPo2w+1SyT|t^L~>1V8;)n~I?6^MkV-y9e$CAU#A`5sHj2(FATBUQjyVC+H4EVK(*- zOU{rdG`s#)<9|GCGRl37L^lEg9*3Ec?&88uuE^^hSc?MtSz5H^Z;IL18@8N?2?g54 zvfGotq~YTkdO@iJsIT}BmvO$5NVoXqg5uleQ&QQ8zBIP+v-%@9C+aKlyHfp{iGq#% zs1GxpNpS2zQ~7fmf9P#Faepg3mf&l5vtJ$gnsH$4UvP>xH~?N=`0aBL`4Zy%#NhNt z>29P0rdPN9MXS^wbnNvqp5&mu5v$srYt8`#4&!`?=Lh6|)B`#roCFWzJU8DS|7%r0 z5=OmfUkZ=RDd7Bz^CHf({3+7=i%~!M;A*X;K@$Up^6X=g-^xFJ!}Eq2 zBm0TDaYqc#3vyoHG-rKyVrY33T~0`+*fez7`n6U`IibIBgv zyQ&(?Eihdgx_j&U(!ivpoVf@~hn8<^vK1&UmVE`Khu&sF?NUa{z+4&>z3d7+T$cgm zT)%eZ1w;_%H(lPS1V%ly-}nDdBkCt&Ve1j_plWe=I6nrSK3CP%iwgqTkjfN8)aPWY z5)ih19}OgacWU1DxWUtTGKulMV%R0hn^Z~nV&T#|f1yH!G`Q?|h^dP*79^P;4Mt4H zK;hM z$Xw0O4(Sb3*WAb~4FC$TOQLm92Ztibm3`D6#JTzO?>E~OH`w^hB+A$niuAYU-IbR; zLD``-^Q(~&_GB!X*#qSnlRoRNKNFImoL5q_{&G4n4lyxE(?kF@sBr@!!80C*0fA# zuf)J;0oS8Zaisgw6WiLGl@2qbRlL_XoS@WxaS8h#Mx5KK9UbQtM;Xd7VSF&{}&R)XMu{Xs|5$6kQP=bM?EG@HL1fYqEyNzfnpxYDq^ zX?Dqi{ddX>1v--9uDoy`*ZC}X(Lu3#VnYh#jlb?QrcwphQDtLSWq0Df>OTJga&PR3 z=lwqgV)r8{Ah}mHGmSbGrdRv>Z#g+(9j1IrHpvN4ljhdpg60~tx^#n85+fncMGn(I z@AFg~)ydVgaF}p)SE;4WBJiWZhSEaJAML&JOvaa{zMv)3XVdH-hII4< zt~>5ehA)9Nv8P)T;rE#*b@x;d-|ZCe$W0D~gxdFmYJ<_R$sr$q7x7#0hR4|psQ=w| zLyH3)DVoHuC?8biLyINqi1(z$w8Z)$#}BPmmEU_GhU&-o`*nB{JyE{tOZda$K4SPi!F7poT*q}z@O@YupYZuQ zybp`l>+rm;kD8Y%_yOwAl4v#!z6mAnPjuI_M;p~Pa8li_-vaqwTNNIUO72GacE(?; z#Upz#7mDDw)hHi3CKvqVwV@uU^!Yvf7GQ<(WO}9jzNrUFzfZmM`Gj;VHq4%?`PyKw z4i@=|g(VX4?XOsDzw2QlJUyjOO}jG+bSd3j<;y(Z~s-~FCTH}0bOfU zIJ`YyM$3eJn%KYW?xXZXI+lNiBTDFEz{Y8xV7`y)Ib}gIG>W~AFjTN2?q9Xw z$guKNf4F>rKGVh(>A#5Cgl3K-eNaCMzl7&;z&Uk9)c9*G-2WlO(Y26G@KgSsl>6q1 zVKBHbQ+>rH9Q3^UF6_IQK;VXY969e|gbx(9tueer-(}Ik`tn_IaRd*01){ zm~JAmS5Yj#etTz7S`6s-h*`c?(#IY<9R1F05Cx2)39%YoqVVy_u<;qER05ZAzB)}E zY5(YGEHJ!xzD=4U2^k+^X_G3W!7^;|Zz*pA6kAqJp5jgiPRS#u<*o!lb?qIxLp{ik z=pSGAs%grJZlgJ!vySgN6oY``Ubw{KH^l${_-Vai=@5&61NOP)4x1HcAUs!7ckUWP z`k;F{hXyqQ2^_}x5YG>4Tm70DhK>TxgE-GE7QA>;LK*{$QxQ8t??@2*i}NDRv+Jr$ zBKwh#$hA(@FGD|7F&xk1%beO>QC~mwXm73aP`o+JW}&4SaujQ^PO;pgOf+U&@=kOZhNuqrimmXFKWHBOX?2VTae#!6|`YS zdZPdGqRp7@&=(JriF^RhuPQB4A}^iGCio4{8*E9(OXVLqVR(KJzGpsdr8yLe-ksPX zVw?oelh{^R#xg+V4tc=hwIaCbWW+9`g!Zog=~rGDq+V=DME;%&)6HK;Gob$31%p52 zDZoE){f}ZzJVbo+=>I^G1MDw(y=0$d!E=+K?sqQHkPy)fbp9EjYsBjnrJMp29df)I z(J7#z)w_FmS2p+_S6cQ)^9w&``RrzbQc=J7zz>zD=zDL*)q&Ct&D*@*xzJA+2kUW@ zK9!A^q06O-%d6=(fhe8&_Ih+!_-JS!@&c-vm_Icp%BL3r1NF;GO^_{wR_(KSWpS^|& z_p^TbgX8t5MNi1Wf%Q~?$LlbpJA9GKJq7tOeV^8t*ijP&PYpl&Y-mTpqjaW-vw|9+ zAOCb)FI#dnM3^VuLZ+$gzB#EPN5)C!z|_yBagZBy}Kfk=>kWsiayG# zc>^yi-S`Br2b7y{X*S)n!p5D|l;?X9zC8I^>GJ^j+x)gr_=vt6?lK=_zk}+<-X4s3 zBNnmnTT<+*49Zg^70 zVxXG zl|0Va^sWRg(>pp)z?2}&Qj-Wyy$^N|M;1WYm}8nzP7-|Ib;rhCA_47L`n`&#bB8~* z&uZjsyfOTIQevl*-r$4reyx19EMH@`>ZLidZIykLa6=$J+hJHO~fvXOY@JVm-_K5(0?633J z!|tV*v4*eQb+UJDVJ0qjU68s-OxOc_#GTLEkq{0z9nDL(%YIeysCLq76J8amXqD6#{Y|Q@)X- zu>^kXQ$L82FeAOH(|((WQ9j7)*5&+FKLP0%2|w8T2<^k#s%To~M#H3I8y0ma4wU#h zugiV0hx`Cen>bwy5ZINVGiRI#&UgC4I{6~7D|+8aMUjr_tq=bGr|n`fwvNrWMn}Rh z90y5G-l(u-FDCF#cn`PaL_-|lad2^{A?C==B)}pvs%5C-iMZmw{&qNt*A#BtH5H=N zcgG_5jPhxlqJT5-@dxfV5k#EhI4dagswo@I(L6}_TVbStzI*=N*JOu!ZPwUW*qdd} zH(Kk1;qSL!sLk={^kJ;;#OI|zgEYb)7WWau{U&f+$Mx%QofCW?7T=q|=j-r3EMBj} z^E!4}?#2|E3gZ4$F!COeVnu%Hax5462E)<(IrFpa?@2Jn@hvjyE{o)(uo8H}e<6-6(Ud52dUang7N8ViBk>#Xb`g zuO5u8$Cmx1n6w7+c&=;O=sT_ZMM99-gKXHF;;H+2HIlf0KR(aC9kYyv^04oDw4&%f z-<>;3bpiQO8a>cA-{B6R>O{k@g!YV2?{M2Sj`-{!Keb7=WIx=tf`ZVM(QEmE*jK9b zk>r9%z;R>en9O@S8h7yCS5#5W8xI}lJG?2-cMZ!Fb&<-Wm&uj}$$D_U4T141&bZ#XzoxU6&`HJ{;R0c5XG}Jcjf2Hn#6G?`bFa zJe0hnlOi7Z%h<}%p}H5&Pq!i%t-pI@Vh40XUmipH?L8OGwikI&uuF#Aivp#=ZpyomGcS6T-ivAj4Sb9CiD`8*E8 z@qA^#6JbdXgfP+9bl(aGhUYsZF5Qg8a9+mocy*nX?k%G$hVwU$`x=tGq6&|bV6eT? z-Tz?jn*uNY}6j~g`2i#IaD!$EVa*t-aLTw&LYG)#*)W@ytlP4SwRMn zDGwT}I>f*pld}rP4+Mf#`&vVZP&Sblg{1_jkDz*&7k#2|NOcC07qRD@+}Qsd`B(qT z2k`tV=LE+}$>k)1-|)PFlm44n3`;DA=Lg>|DmKiwB43)PBri+%Cc{%>kHu5l=|CZD zR_TcJ>NFEm)6WVZy{Uh?{u^3(tPNffFgJeoc$+{W^!^Zh;ANEutFLZWQ!!*f-0lr( zOVJ#toE$nM`Y-}UyaN)0mxIwfbgcJhl?3Eht|T#!=2mYE-?FVYOGp0eU>7Bj3a-y3 zl*a5+poNJ`{!l(T&DZ(M(O#KO_Q_XXYw_S0TT}0e_BR5Hf46kq3<4#kzv>B3gTd;| z?cWR4XistnZF3i$`G9ow8ZYlM6rnB2%N{yl>UQRZFM zKI#ES20fejT>LP%Skv$$?@(P>S7hgKRWAH!vcF2-gLL-qn^kq!=0aHX0cGp7Oqh`& zd8l|G3wYN~wW_?$B6I|vmF(U z6++V^67GZO@A*K&FBQjQXfIcMnAxx#?S1?^H`CSTwJsjR@bk;_?ij2w0sO_LUU)d9 zf`?a9fErs2OwpenPJ5XQMQ1tpDzK)(oqZBwy{LX=`pa2gpjHI_dez%EJWYjHR(DO0 z4dp{lk&3vY?2DC3E&|E<8IM@OCaN1I?qG zd8kOlL5RHJL%G+9(3vK7)g%MydZ`c7j@QK?eU_LOid=R@|xrbl;%K5 z=5q1nD&$kaU^rxl`oSX6LNEUo#X@dx$$Agc3)=iTR4ueEUVT z2SvH`;{qG<@A~H(>kxV%JoQ5+nzK%_UQ7#tu?t3&_UkDisL`wAA>|1>OiwK2NulRl z|ESbZ9uLh8M%#Z;-OkGJN%;BhY-rU=T4qH1(%r(#-}Dv|VcasN^M!*0?4;>*Ngnec zPW3@Yjx!q0z)H@$+0?dGm8S`C_J~d5^^FWPCqxhO zy*Y4wnnRxVK{N!;C)%GVjR&m`7S_XI`2a!l2^D%sA1nLX;f5o=V6<@gu5eEZynM6d zxmtuGS&gzjpG_kxeL zv6G78QN-Cu-*8M3`A*Or(#|G%;)31z`Ki3`ge#HXB@JhIsDAUr*k^9hHHadAVU{n! zW4@7q$EN`p$B*SBe=mo?{VZANJ67wYbN{yjc%VRk@Oohuutr+Z?Rgqw<*V}2I#p9Iyi03_{@rhCo?GK$iZ`K-Gk_%3O7W?&Ihhtxy zJ??P@R-SW9IN&&_F7S4{ANe5T zc&A+Bw?c+=5Ais#;TZTVmYfX_y4}kn%+UPUzqqmz)0z@TIN{5q!NT^}1NI+tNE5R~ z`xCPJ8R!_Ih&ab_b~@rd~v2iOd}^_P3; zhf#5I`Bz^wgzQtvFWI9CknZNRQUkXi_PAx4Q4skX;qfhbDsnMEB@6DPd2Idp9tV4- zH)^^+Wf44p;|-3tc1QVLeTCCtD+n#!1jfQhqYG;o4eCF=kgWJNy$92vv`H8Iln6Vl zRP2?%#z2$j&ih%3IpA8!AEzU0OWeP+`!s&|x}ZLBv$6CL>SsQ!5t1IZ$cN7^MIuEn zQ=v>=Kbqz;niIFT+dF!{nBXVfXa_BI)EA)P>AI|f_U(3mpUn|Eo=MwwYI*C?srIpL*zw;krZ@bm7U>Qg!0Si;_1UyGhSHCX`fg3 z5MJ6m?yUTwql0A#vz#zu$suqV=POBdvXk8Ni9op|Eb}4gGDK|Ci+CfSBX8@JvN1F# zH~L^cxAjLZ{Gt~rBuC%>Htjba7;DzQp$=KuhP2c#(@pH{u^Z zg+J!>puQD~kvtLqBX}$x%xl-4e5j293$ODGF;-Co4&!`?=Lf}#IUEbgJOmHoJa_m7 z>$ek-1S(1AuDc~068wwvBF?h|^B(R8k)9=^ZKL-02rCT7bEv6$eEwoSH0A!enWB>l zM{PY9KDjv%yo}?qMazt21ZOb8-#G5aD?cnf)tLfeB)6fzGZ!Rpk$bKW_#yth#B(Y! z9_ZsZcyf0JLr9IZ+=*HNf_IMck0p@Z_kmD>+tG7+NY5%HLBi`-I26Ww|0<*s1=g*! zPOlAeh`i|5xtFdc`%00{Op-{gULlbe@orV6i*n@<`2e0@W!e4}V-hJQ_zlk+2E5+- z*0Ba-cwQhid*hAlj3ac(+BoG$ctFJ~rxKD6o?!hv_v1>FAKX9eZ;_eq1-Rb~wMKs1 z=M(N=EGC?#gXS-Ot3TVAtMP#cB|#xK=iOi~Giq?7$QS-hc8ab`xPp^%k=XfMOAt(N zu~V~lgBqLBxzmnlzGP{X@x`3Ttnv0$=EI$=6XX6WuwK4m01^hs= z!LWSwxEs7q8uNuVH*kC(U}gN!0KD^imOmhWOASF*l^!8S_&)QwsghgjKmUG9W!;s7 zXug8Vi&}JP#uxOTs~%Lp9{}U;9x^SJih!Y`l*!6XLzGwTVv!!u#;#s{GVeF*1p>x8 z5(d@&;B(zL|K%|9s}<(zJ5}ie0xC0cKX&^7o$$|vDmQ;HT>QST;+qfP`cSs}Ja?T5 zwa5O9vk7%Q z^wZS7c!DWqI)f#evzt3b?$B__6W%QN#ttZqP@(g{VRD)gMZ~0k62e9uCE>nJTfv(dI7UQ&@U`5hTz0Mi|I4^k% z8PXl8^ain(EC=CZmmov^iFu>|1#ucOZ{G4|IgFiNQ?B4?(}g32GGcdxH9^}o`b5d8pLwPDO&)^QI8%^9vARdZ26_+jGiZlb)~216r_xN`SFd~3u4;E z$a2iwz#-#elRKrfKE3@oN=}o#`sjQx>ivd9;^OlTbh(5?(6qAclKiK6v!vi_kQE;(^i;+_s>*ryUTF!wox}Poi7|Mw>`iWU=MW+lFbrFZGgf1 z`@ZwYZ*DeviNQDgfB4aVU)fHvI}F$#hG&!9_l2VR!(W@NUEm<2YB?9ZJJei0>7-}o z0qMWz9Ixklg8Q_OM`)r4+`yzC%xGMO)oUkKA<`A>l%!Pe1q)*f%d%8@LO~F0DVQ2) zXNWyL^t(*Zjt_7gEHamfkaYAR@b1C2*Hho;0*N@l6i>ytp!%^`1^>ZsENH&+UtAR? z8gK1lv;(Zsc8i>q5sape2-(Eifmg4thr?q>BF=G~)ecyf)GZ5xVdb=wgRO?deO(s( z)Gb(Q0{%O1J-O$kPrTo|kK!xz+Ku5^;0_%|8V|tl1%6L(e^?yXalZ++f4amtKH)ki z_&zMYH-XRB;eA-VUWebG+q>8Um1SI^B5Z|~4f%$v>seW4?eT|IvD@O}al5dji1>sx zV=MU07s?bTVTJk#uP@*DWQM)D*LF64gbm|+H)NW}7!0S|$HEWw7-JX9%M({ceTewh zVsE4@UvP)nLl=rzMXh1V|9IkYv>%Q00FE~}-ol;CQc8J07-7EfJ1X87GN#>o-IiRS zvRKB2Pv|U``+A71Ez=4L>9?S5$pWlo8aT-q{op#YAIj&giTl?l65|@k;{|@!qnVNw zKEU?oie#^?FWh>W*HE2m2gM2114o&|AR&0|9d}p&!B5|&YMZJAZQy5KVT*O28t7f| zd`#t>a=?WZag%`{c{>Q_nX~*W$ypfNN=FPeNP0}EcK|5!! zqY7pn(~t)W*Txl(e_0vib8@@2FBA1>p3bwTFAd45_;P>F2P6@BLh z_1|1rnj;KhQEaADc|H`DbSEDEv8Tp0;4&!`?=Lf%U zHWejGn*q*)IM2P9-a~#x;WE^ylb&;$x`^TYi}NDRv%9SL{gS$UU?rC6AhWCmhU59( zJ+;@ejs=3a!-kvEM_2Gz+kIc|#u*IfWgL&MXndR$i#gyH$Yp>8eXuUII|)RQb4^oK*moZ7auWE9*q|K+w) z7X?mNwm4^IQ-5NZEx|2pay4ou5qiqbQaB%zM)%)3{xx9*@&Yv5`?Q-m0s$)Da0TLL!NrXQF}4FJXs&tqPb%U$$0lb%mkF z99D@Rt+B$8^Yrr^G2p}M*zx*rJc!H5P(w-(_&s838@G;wLyy-6#J-^ZrQ2kVg!m`$;k@bPTKv`wm8z&CUrQ-s~8Tjw9|a$h$rmJ{1P4Sq>6DE3!26iMZ)Z{EWU!}cu)|qsfqrM z=I1_L4c6(80yzPP1d~obDEX^(k!3p;O6sMjd5~XXuJAZX2=a9lKYq_4K{E(u*OrRb zdBY(4sZ^CFimSbx4#nidelQ*K=$TGv6bOq@a5pE$Ks@7B*-4goxEkUs;(s(6x<8Rt zZfg2~2-}088xlbvsN%8Znh_5A7k)krjfsX6QG5@7rbI#uBXa;uM1k6qJNv__{o(mu z%Jxg2BjMv$mxYn_XrxQ$BHR;%=3{h9RtKm;K|MM3?5BH{@I{xqB(7EmRJ$H-GTN?&0 zUsO&E<%EHOcDp-=e+qPC2L0bGqky}rL`&h0J9t#DO3}_oKzifJpTXn_@T5-FamRsJ zpysr0z;pw^tgY%e`#n_0BhfaHL2+8Be(2oqqbVSlJ*MOFDL;Ew?TxWwo`1rI#RG%Jx3Z6r0o?Id zY2vs1f!CC6k1b^|>{}V#pk_dGjbFQal90}c>hA3$vO3}LE#YLX(-QLMxO;W%$qYAT4+r@IX8rY%z7CFeSwmBAEngv@ z=YMg~FI=A!i{{3Bl}e7kCC>pouHJ|*{E;?^hUqFc_8Av@RLAl(89{T!z6m*YXPyNS zagO6`((x>p4K3tXA1_By_tc5FuS!wbi<2zYu>T=8qIe{dc)tQELf$ngK4@QRnlyPk zfVda!70#p`u=UU%O7T({>+ zFqpcokKTTf1`DdU!b?vwW4hXHqw9y!+}@{Xmgt`bAh^#>Hfz%qqjbIdhqwA11S?$B z<^Pig6V1VjCsXY({q=3%`(3d_e5dbNaS%dvHW7t@QrdeFz`39`8$|$79 z19h21k5GdPasN!E{U(O&{a`*qa`XNK^1=Gmv5W6u5@;FP+Fu?(`y%4Xp7Nb>aIAI1 zvIglokrSKl9?VuI=eV-%*SUc7oxmrbK%vw7h|FDF=+kh zI@-6wd6+`4r0=nNIHX@ObZy|H0g~SAg_2w7dx&|J-E^l3Rv(~#NPRH`rt4^S`jW9@ zyf$W8#_mX04_?fW9#Om@2{;epJf|oX8tifyomEGD~-Vs--l?fOYOpIU8J*vxaV3$1T@Mh`|dTf zBzPIeU5sD^-0Pl|q2x(`my~XcJnEK^n$5YIY7zv!seUu! zM(F!)?L@o$n@gwiRVsG-Jqf-qni%*8aoX9#ogh`MvcY~P9LPFN5k!`pG4$E zpjA?3=7RiKr(;RwmQ#tmC}3c}G@v-d^8q}+qN-=_lO0JX_zlk+7Vhu(a<#+(!}Eji zTj82TT6rK1+?}kwx$v~hOUbeU`8H(gr3Ams2S-L8v9&`*gg^9`ybpV`-NT?!E&=EUUgTKQuugx`hKl9+MkYlwQ?jP8l(jke6n`M0sk4MGkwvSAm*Z} zf+`Mh?NiuB>d69_B(d}O%AXBlTGYpHB7O9nwvmZHOnHDw6`Z(RhWdZ=KjI%B%7&Jg z_o$_kvtZg#D+Vh|0_qcfnkz9#*LH{8@aB;$=)FP#P21=@`9J=Cis$KT>kkUy=wh8ZwFd2ow5!iop!d_Q`_b1dm|5gZLD9V|kAg5qYm4B~QSgr58J<`W(ja2Ye15f!*_ zstW9<>z!PmR)LI!szBqPN*KDbB|H4F76!(D28*D=jE>|{>f>%#faI+mKX)?Pv;TL# z>r!mIne74i$sSSjI=?j!p0|E+-FvDS)C?MO4>o21YogL=mzI3+x@Ge@qpt{_hK^%r zUC=({{soHQDi-X@WzvUZ5hdXJH&f&zHQEQ)NPj)UPy#_!oIz)Mi;*9N@aR+2f716g zX19A@1)7Ca?q1JoV5OwDrOUD$w5PO9S!)YmYUOd&lK}Ld+vMdhXy(C!`cR$U52Rnr3JgC{b6`en9ipcMhGA`ip!E z6DURL_~MX1Xx6Q29c$z#d;IZ8R9p$f&AyH4TFroK6T3ddyvYNzGv1hFU^$Q>&4t2% zB=qN?4Bn-h57qO@{YK#tK>KYc-HPC4IKZd&f@3lty1Y210QKow`k9IqzaT%_e|@Bt zql2Ua$RF?6yDrIdM{J>Ev*2+S|A#V{>b}pae7ps8NFDC1)BCFx4kQApSTMlH6GUQOAIy{GCKO<&X3)f}T zo=>C{!xPElF}fLPfaQ6FXmOWAMV7_A@|{;ex+17+D1}rT?8@| zkLkBnOF>J>Uu~167QQQg--tO72d~;UXoBN%h|@vzIv;CLIbmg>(S!_r5Z(uT}&}qi@uu0#@+Hn60fOI)=EfOxlAg6#Zeu^P2bM z8x`!Uf`VWZ*K(mM7+fBxcVq4 zbCzEh^=m)x?Ox=MheOwsX=WtT;JBg7`@2Xd1&?zaXH5glV)Ms}K=`KjMn2M;!tZMd zCQkKm34Nal(Ywi5R1oi1Ok0ij@iCO&TI_CYM16kzUf}m6M()wh%=a+_uH*i&xQ`g_ zH-YOCI673V0z?Fm^xFmbiZkfieL!lSuEyBVxP5Hxd38 z-+xQ`>I&Q*33bu8Li#M#_oST^is9SHKJw!njRZfLbTVeyW+OlC+Jg2xp**z5ut)lN zGV&e#ha23qr5@ZgNlHz4t8D=+iH8$>!m9~f#`%h>?We=k!BTM9^tpM} zM+4&$aX+(nXDO(CVLPG3QU=%kgqcJ4BYu(G`SgZG7I-K>c2d)-AoyBv#^l(tXeIFN zT|55VIujJUgTJ<3uOawJ?(X3cr95A(;kUSyuq5&&qb5~VL3%TzWBvoLWRc(KKODyS z5YG?3xyKmq>p2fN58^!MfQ|QzUN3?*+H>hq*@guF;=G9StYz_u%=6X_aB1<^`?H+t z1fE~wP8jT;sRpk8-+%Y}7Xqie^1=*L9Kp*t9`{J@{aAtSG0xvO?n^GU|M{>d4-~ij zKVdr6Ff@{LgsTtr8#>KDu&w7o>dF48DCFm8`#ou9X8t(AJ3;X|S+nRn`LLi?Y~)BC z*xl$Y(JG08cE$N4T5@T?qN*G5o(1vWzr1K+KtWwhr3n<`*|nQV>WI9k{lX286ATqZ zK7i*}zh0P-HIz0G{D$WZB}@kw1y;i`JTG{#=ZB5+05?`$FZ$l7mK$?medqLqRRG&l z|4l6KE+6)6ulty7uplP*_2pYpPhm`BE+n&wY7bUhyIFkq)iJCv=xj>(aWQOdVtbKf zT@aHdqdTa2Nfh(Vf11I6_aOGCNu!~OV=tDt@Wxb#iyNbQ@$@2_J_iV+{w?(h2^K6(SJZ}Q4;QvhwXm|Eodq+EG^&r2 zW57bsa_9&dGGcY^iYs?QnXst>V;85}WdHg1dozzeY7OMWTCDuP-P$97z3cv7c=sbO zW_I`3U7xwhE;~c=N7iR|U`3afuO_pvDja)Q)+cg<4@(gCZg-6k##sMcs#1>P!!9Z9 z<=>xVydeF%q5@%JK_W&XDr z?|r;jx88QfNe(v5JIXYj^NJYuo@~1K!`w0KzGtCx`A-3Cx3AFs!MX#)DJQA7q?bFV zfS=Vj)!6&c`>bhZe|Jue4+|(%sczlm!aT003MaR5V=27nwX@`fvFR{}oV@IV*!oA6 z>?aJAm;sl@xfVBGjPh9cLDl=h7*n8N$H^@|j4Dz5i-E>rY{gB_Lr0Gddoy*b-%C{# z+lY*Q?P(&8neAASdK!HcV~(es^nG&}OOBg2Lx{6|c- zN7Dt-ojD^QJDHo91`{^1-a8}WK!WWwd?k?_d>A8b?P|9DeGrR0#qON!w;#jj zgMK)Zsz;UZU?&omq@)$dv1hz_@%8R|h*K+|GAvq@5}QA8wtbM58&jX&P|*I&gk^C| z{F zrWdDk_YsOW7n&o@92^HR1I`O$E)1d=vpI#`ZXHR?wuX*-ol^{Z5#X!ud{q#u8>o~o zyTyeGzs=$OG=buRPhVesUJ|oYq~m-c#DP6AHYQ`b&P$vcdrPZTosVJq17>tz)IWB~ zJri4b#g#C{>>>?!K)a~~R-yTXKKQT*X7ibH(3bu~7aI>-*G(S^%x5U*V*UatabIt1 zeXC$6?isWhyVYzjphT3WQ8`#GM^eLsJ|_owSP zKF9I7k8bztb)M(@x~|uGKGHldgvbs!ZBA$Lp?VwIA9wP(5o%Zuvx?_LFMM8{`+88C zz>j~cDqlXe@}Xa^{NRC~EYiF1J=Dc^4=ULACc)eb*!FU-X%nU<6gURR;iZx|Dv3L|g*_xdId zyOFOdcBs70jl^~aC2SD`QRg_$rj=I^~z!irz@wmD;l5 zC%$i-+}8#Yac=Z;>wWXh1$v?{@IG0m)&D(yn~uQs-zJ#QjaNW;J}iz;c-{o=ON{&1 z;XWt$JS;vpf%gx74vX*C;ku5t@Z&qGWpdEE_qp@@Dkr*`aKr87`Yx2j`y^WY>V}Gy zKpx%QQw*r|i|=i1HyLF4Mkk}U{~!#6TI~O0DniuvsXUR}!=gecN5si?mjw^fSWL11 z!y`oS0FE~}-tOep2F#w}Lv=Hj0)wack#Y3y>#dK45Y1m*@n0pc2G;(h-|W`sLqFMk z4(Zaeprq^wrVcAH)VEz>Y}rRi^k1d$k=vm%tSIkV60cwg16pUE3cKndfwEkVmCbSnv%|=%l26q2yoFXR+Sbba2e+-l5LI;Qf2(;*8aQ_`Xl6Mt?!0NHKPRLe?Zj| zW5|V0J8&O#pBF-IQWbY5Ua_E~U(U+D_#;g4b-I>qwStNWk~HUURs3nAkK3Y z)0YNMhjAi@{KOOQx!x1}i}NDRv(r&YO7st;&{ ze#C5W+U*x56T!~{_|07xS+x64&#$%|Q9>8RNz73zJmVqs0IshbXdERLmZb=O!*xT~ zKegsQgO4h>J^pFF+2AuELS1v%?DD8-!bsHKE301Pv3Pqw9vlSi+zVS`V3Jdnw zKVRmV^zLgn(_t1n(ll^QhkRZkV4%$a{jj;l(s>=QGD)AA#O_5L{L-{w&g+aE@>Iev zKFWs5-7YQeLYQB8zLpc$tpq6W5Kv*k=8hvxWADvi`yL1WbX^m#NP!54sIwP4GXc+E zJh=0?O6QzCY_dyiYJJax9br|r@X&$EpG4= z!S>It{_9-MPbSvsI=YxAg8qQ73mx182gK8Xrg!Y#8bvnzJt(&nj@=(m(W9d+Urzn(99p$q{g%Iq)GXLyY4qSS?v|tyM z4HT!hc=E7)DzArab}jnFFfYAiJbJYZ67}nQ`L5@IEE#v^1Bo1X>$M=i_9OxBDAo2* z)nI;iyAP(k9FGL$Fsr|}%5&jSnz*~e+dLpq=+a-4FNS@GKU+|!WA(Eulr$(g1q!KY zABSDQ?&JDLO-81$2f*)rH!MW`Oa2)Hv)2o6UOajlzPNatEV>v+tWRnE_s8GHd^*$u66-fJ z;1!G7ogIUCSYh~j!Q(6yd`yqxEw9f3)3&=d+TXC8yYqr^%q~Unr1!o2Ij&T&ye<%@ z#+C!$#?^oLGhq9XwG<~QawYoLQb`}!2A9P zqF*meJFe~MVD|$5dtb8H&C@Kig|Kzuj*v7~-*0u-A9pXAAuW0Pg3Yu-_-vq_J2{gF z^gpV#MKOOEvrkV{&T6K?agv}rzq^yce{fSzu^rnl`42y)kFe)^i)Mgo+|imKR0Gpy z40V}L{ea5iy3q7YG_)xHP{7O<;c8KIo(aP076S?A}e0Pd^HPvVY|9XnQP>@85mEm@*0sS$P=FVCTWh{~A61r+}z$IX0@ZSLX7-;Z^MMCy)bzcde^x%hCxR!0`sh+Y}Sy_a%?9^PL_F z)7ZL9(2|u-{UVSD1C2qF&c_0vDtNEXDayNicfF6Vv7k} z#`#L{_EYoK{rM1ls@>ae!U^p&mS`>9n-65CwT}wi%>`i$l6AkQwJrqz;=G9S?B&pA zjuNLzxK|vc()Q1l!1LVUinDId3qXF4^zB8pOh{zvr&qd+`J4X7%QzmNlS_>wqsDSi z|Ko2Q_a$yd3IBMQ1Y}v#rKhkt+zVN^@2=$@hWU8UPS%nPi0`Nm;Qty2`9HNX#|3!_ z-l>o*Wp8hFfN+s3tWSf=fUe``qPm6$%<0ZoS@>b+^pP`9Cp54*!T)rTAtzVX)T0_` zjTpz&F(XeMPO(3Ol zZmlBT7qm3C6}ja?K$}HBD2qG^BH6Bd5*7;wc0a??@u1J{k|$JuS_v^L3jsd^SBf9!QC~m$nQ4g2Y1G&;GcnUh6kN4+n(J6>cbk`9C+#;p@EUe|SidNu=`M?hP??!*u7QjIX%(M(@6AM$Kp*NcOJc zob4ti1at zZWq=2Abj1rCVHSV_zc*HKI#zQH3BMuz3~~_F5qK4?#PY#kv#>ut;s|uhyZrDAG2f zmB&0H{XryoPC?|^(Ga&7HMgE1x;50%NtI;=H~0EBCd~7q zQmbtm{#hHi)TKmFTbG5~JMc3Iwbk0a*!-ljJ0 zI${$D8&b?_e#dMZ4^DtbAmLevLK^|NLYCKYXap2iMudCsUPAAA0mr=bfL9% zaan@n{abl-KYS72VTK214tgRQ1?D*OQEQ|xe)lu4u^t*ZAAj^8QwWmRb)n0hl?U$o zn{z?qhDhy2FwgnJ^ys&M5-Is3cVrM|p1MoJjaWMzPE~vmw?n54up^)DKy;b;#l3*! zP=xC{4}dL`>+{rKp}PfTk;s?rh^v>98SD~`@@U6= zzAs;uHa@~+j8X)fRjQXApzFhvA(?f4NM`~PXazOLaubH#MFrUlJYm8)TZZJr@p6|bA zjI2-7_3`dE1G8+^hq|`L1b#$bJ>4_f6A34Ds{Z@cBxql5&PU@JzB4_sQ|2#N`VQpYd9vqXDvWLA1W0SMO33nIDL1l(@}Hj@SYJ zz*G8BmLRk-BU^6Y6o7CXOwYQ-q=@;R;dp16b?|0>y$#@XFmbo$QdXKHct0+_Ul_L! z3mg1@b=BJ{);L*Yjehs+VSeK0g8l|JN$HVz0pI?JjkGV;M4jU}yF%S^?DxJH*!#iV zB7hb1hx)HyFE)AJ9aHv)0F5s?Rce96_r11}J=^bSg4o7x6sHab1Kt;SpKS4;b9fHt z5svH4H`_H|T-8T{0c%}9usNT_(RkZk<&H!?ES@8V=S|?g#JGPQ?sJ0A!{T!j`29Nk z92VcN!*!i?wAX>I@^E;4Z=UbkxEJzgjVYGdutcTJ(zU&z_UKpkTaTG2SH$6|hnHiHyRzkkQY#Eh`PSr-bEb^;AXVfZfaLJY#(pgJG09L@cxSl;C{KB z?G4Tiss~*j`-7pZq|?G)UzicOG8u62EMn^E_H-SJ0@m|K>Ns{=1I|wweuc|b%;x<%J(V+?5p{_qKI~&vVRGR+N4O4|8X&Uae3X$H0F|ygnw#L5t$G*=0^SGOMC#5#8i$gya+V&d9gyAM-{^{P zzGmCDGfXYEK)N#KRAbD3AhK&KR`Fd6}&3uP>Y&ijCpm)P`4O zoFfxA&Jj3_^C7Me3NGrN_^V(@@F31}#igcSn)OtXW8m46xI{04e{o*Kd3IW7sX$A> z7$AkpVDEAu!tuN=|F38}9X6L(`{Grrn;Gmap&KCY4?s9C<9J-uC>%Xk=Ynwl#&O>> zLiFt`18lx~!@-*RtTzNXJ=~*yBM4G|Hn#WvlSA2xS4Fj^ZBS;5kISv*T?FqiFIP!F zr}2Zcm&BCMz4m~*#_Zzd-TqL^^`nU2&K6#~>Z|X={LFD(r0KftrQ$4#jy^A#-3<38 zbWzRH=5uju?giHaxV}mYqIeQZW)3*N;ku#u!5u4lDSw3PgA6HTTRrE3{waU6Se^1m zFR~6)s=o|D(?joHeSQ^-$WGj2h>i(G7thG142Vae`^h&{Pb`L^v6CJJ;sP;<;`B|? z9N7>=_3<{pifka-b~AEMDay6uE+9LRRZ{2)=w(6fHNumH57 z`tbu}c?jYRW#stX6^2;N!dRZMg`#!i4_C*_{1Hhx%kA~aAmp)bPAV(vjo6QR4ZJ_@ zhZau?74DbPM+Wr|OxlJ|qr5Lk(kGm(QSUynTio?negBWorwrzQMDsHc{cX{j{!-zG zm{iGc2^xlCbJ@Q8vt|sSr@U;3`pH?u*uj+XgbKTF|B7G2$T=K!+eAM*{2~^0FQ}OY zkj5kWOF;^i`7ww^SEyzv4Eyi>9*SXyY3o;y(K9{Y&9Q#1_(!d&VXPHNC$@HB=Rgp0s`5uHBA9OfN`G|2TLM zt71%G)A>qgz}HU^93DIw&ZwE?>Fp_APegX`)5p7v?r2oCr*W*+A5ClD7{1x+gK8C` z?kFoeAVu5l-${=SV);NCe?Ka?p{6gS2Io$Npir?Rv(IQ;&>qp0U!Hkhh+OCrf9IkE z>fds{HGSR%xqdZX-?!v}$oEULa!`4q_~LO_M>0v|*GYZnRbU``L|PlfVHJb|It`md zZ~39%O||!19p0#PS6U^NeEQ@ZeiE<{^qnryJv6r8&(FO zS57Q^88l`nRQW{6r)qyByes#}`g3jcy-pG?I~had2a{$>d2>YNXwba!G7#3Fnn;2CYM`PoSB&=F;!e#=Hl-gsS^k@^r65erOE=>Uq8>&au z`39igs^1^!IQ-D&c0j?WDhCi`X?$6vr4BpAC5LOCC?WoFOTYKCZpeLI^P`K8BQVIj zIJ;ImAt%9wJwG%YQDJYz^z^nrY8<{k8)0z@DldBvgla1gt4Upf{s!fF6v$;=I<@Wv z88>Wx@c;26_V3P9(Kr1{!RBUqTtC&Gv_+?M4aHn7U5Wb4|G4+A@B2X5*Qk^yDddkB zcsTa&RSrh^v_Hsr91W08X0a=&Y%sEn+WDixDFB8reXu8569UIJg(M=@2Jn7W%}gHX z_~1souRhIV0kU{kL~b8BB1IK}dMUDVmK#GLh~Z>x-C0ZImDrX3s5}y>MjtSl{_2OA z57kN)yXl}!YbK4jF(<^bqI>Q#RVaZU>Kjnp+Y^OW#w|W-oex6CtYdXw2Du^;uPC;# z`5=@keRlbDQ6MrXlw|zq>xWjqD*Q6Lb@a|FH-Lryhj=DNYpuwvmeQ}pDuXDptFB{ zlIlb3h<+t&a5a;A?||ZasRtU8r2zlFa{+qB12o3S=AVG1zd{hv7kHmcbIO)nHjpE5 zeP7W2>D{f4s5&s>TiRv>flsnB=2?anLV)MP;yGe?-URMTjQiK&{e#cL;&T)D{W|;{ z7T>SKb)A^`sXs$AA<%wF>qvg1F)&ox6;x0-po534G!@kxq2_CxbC8cSQQuFT{PnBj z15tOxX)BT3)KM zxr5IiQ8%4vOQa~`naUmJfadm7Q6z9Nn`9z|VI^+`}hqm@iv)A!wBWIEDx z^s5)bapOq2$(MuWX2?mdH2e_@=BHUOahXFsnBZYQ%UGe8ndWFlmH%}UH8*-S{bspa z!xd}_Wnw8m_(Oy%k22LMTg2G9ztv969@@q~zUO!ICU6<&t3GqCjH7Q=!H1R9_0Ls% zGF3%N?8g7QLk+7b+p|Ksc9ao1TMCOME(d>H@Y8jSz8b|jPoI` z5BS+$vkrc+B6twzIq7FL^ABk4QCc-sWCZ4uf%7lUi#X3(SF`&t-3dp@+AY^>zIy|X z=Mr~!o%%o?hnCG7AO6krMf}n3B=^s_1J27h9yeB7&h`la;QWo_K5GUq_4@u`^f;u{ zS)n@^^*UMZ;{WM~lGK;4du2Kx-Sc9THxIHS>9G9o<=@^6;Jj0>vCu?a;fP4%C7ig6 zqYyd2cGOaqA1YNowKat0A}p}IP^H6g3fDz6gOB|(8iTOE>%#X$@+d+VdCYUaP)v#; z^Z>4}KD^f1c|M2n^MCw?>jvoUSS&Bad?WwU2iIGFO$e^p!Y?f;t4*`B@U_q2L13E> z%zaALAD%HlS;IT}iI}g%-seqfBk%Wviv46|#uGiuNA-?kjOh7X9@6THZ{p2=*<*^2bfiVe=Pl z+w%sBC}~AOJPEU9n0gw|Ag`$b#ZkI9;DH<(O`W07%F=-(!*heF?P_3B#-WhGWdbo5 z+U{3R+d}lu2M*!YCh#XXCH%4CY4~5C-}G|I{O@Zs@FG7EST<%2F9*C;?ROi&UW!fm zg8q}(x!{5v8NE83?f$F4>7fb_uZrlz95;rN8{KDf!_PxRP*>;PWkBw!BWDIzZNcoL z`o!lrE_nARLHuoiDjM_ZUSQj!faTvHc5cT2u-p9Qs%+*4t_eHxMjuT<#SZQ9fks-#t6xSI#Ho{7!yKgbFV zJZD|Zmt4Sh;-CFDHFt{xXhK}S2xcQoUeRj3_Q+|c~$AZv&Dj6WT3RdEBEnzhB_XANPqf8Dke5bnPfQCXAVL8b;A{K7Wh zgLb1m`%cc+4!Quo@=RSkD!~#XIz~@`ds}-i8NyvHE~=V=JbQ5 zatg7QKsOjWW?i&C=mlT%Z5_ntZ81Nk%)<&4SWf)k&XQWu065T!uEuRRK%ZipFXdNn zcrD_qtkDtz>7FYQyrtp5PxWA6i^L!1_VX-fVZXE0riT=*%N<}U{i$wUvM;1qtjA3Y z1Y z)=G}u9&3|MD^47lQTR(=#JIZc`QE+ z$3dO)lI)>Z_6WzjDD%W4ZNJ@#I;hb2E?VR42pJlcYdfLQfY((7xkx1SMj)IQy6D1I z=762I7Fo}9Xh71ClYZtGO`^_moGm=ZV!UL*jg&nmneUy^1iW8`YM^Ez)BruJ*wQ~e z7D{~IbLIEAu^)ht6CAbUFt3jAzQFsW?7}M#nN@QF*A>Sl?9)ES0IQ+tkkK1A0-r9r zHH2!*M#8Z-djHBFIs%>#i|2^pc@wxVG2TD8&j~&ci_cBq_v`R;SbV<@*L5vM(ZN&y zEMa`{j<|4C6s(73Ww@LW0}{&buT1FuiTb{Ed(O_#2CH8)4YTbGUtrfgI3e1>f^Z(d z@dn3R`ui)&`~#Ng+u<)!qx*faJdNd%N7Qc66=LFCi|s>;eM%A%Qp9|IGU5s*{@THW z26d<1hy|FZSg2TQoI`m3J<(sw6uGGicb|rmmWE3rkKcOd*e9*2wcYbYDD(qdJdMuCpmqC>87|DdRO0W!p$BES-zh4D_pgptxeA& z&CDCj8MfTN<~qY8&fq66&Ib{Eow=a6a48eJkKn7$`nLQeT$`N{)cG4s@KcnLw#%Dg zZ`e1@A99G{IHcD`CSEtT0Q!XA!95lB1Pcc&WkwD3hb6(o!<$BkPjhsJbRr8JWmXjyBgDB1zIISd_tSGPv$Z=%V?=Pxqyn)CfI*>#K@({)PLW0ttS@bwgig+uZ9e140)h z2#9q@v|;zC#@4>Oj}^csz5M8HiV~pQUuDmxj?G_{1k!nM6oZC&U_hB=2{i3lv~1@+ z1vz@3XrF2{!uYs5cfn)>JQQvfPpqkcXX8!px&BrGsR7%BO{X6S?&3fB`FR|O+|f$b zLKz^#5Ma!_J0HYe@V+|sxd=47EIMyc=79f3(013p0$_Y$d0S!yn~(d_s2?<%1GTIk zzC)z>0DRf&B6GQLYS2Xd95v=AallW_{vzfNdIoNGf60d@Oj;swn9tPz`h2wnD-i*b zau|t9Oc?xJ27ReAGdTy!;eqJnXeEaugiS2H6T@=1g#9-t?sgx4>Z4`BG{%jQ_X4_iG1lGg3nJw}sSYA8%;D*Cp#wxh5 z>#4>qxe{nrr%5BX!RE#kcCM@>p^ho^}?B9P`u3sR(66l#?xhS6H!j!7ZB^_+O zxsj((AfzY*l#U5X9A~S6OH)+c^V>DhzF+6w9g>Ui@{N@B3H~bJHd0{uMOp~w57Z0l zrsPA?V~(k|gN5Mx$|F;1p#UCjp7IhfE`dGzz9!=WRiGa@m~t|(0M01i*=;UR3PQ1T zsd;@hkRTR*?v`KW99AsM(&^)>VOWNg_Kt5Ym?)1wpN(n&C%yIO{FjU1{d-*+-5-@O zT1H7zz10NTwdP9v`zs+$aNu7uZy^{ISxtJW*8}}?=948)o1nV@K7 z>nsDByXwchhA#o*%Y;>RhDOM@xv^I&_Y&;rKA$!H%ns&UFQSe(`olYRnq8h!sYJgr z>ivD2b0mm(-+qDACNJ3r_-@x?-N;xEbqRcjOcN{-*@dU2*DlwCXu^|I!Y^w;d(bq> zKd%UOw3LN*@nSyCWu6Yk4h6s!=9!{$poPE>?<(3SPwtjOp$bW;MP)k_us!iU=8WYP zFR>mYqs;_KG%lMqR0|b-CROU~yv|4U%(qjJZGmp|0?_<759HZx&bPThJI>&L=!)Wc@ zyi*BuBzHzoiYF2MI+Iyv{!!!{2t@}!nC-;o(Et0sS5H>1W<=(LZO`Lx{T<0fU*LVR zHL_?r@+F19^|zM7LGOJ!piTXS4{b{Wflr*pXQF*mn}C$>LWD9`35dTA*Kn`9MC8Nb zIbwL;1nx_W``6(BKq&vrGVdd(mB|D z=DPQM#;MSht$)zzO#_%IB_)L1!*J)DTAy}iDST|7b6G#$O7IiRJ-c?S2Ajj&4uq?c z)j;VV%zT@&j=+tI=f#Z7%h)|><-yNAr_$gq7w0ZNjZ%V#CqJnj?53y$8=u7CM@!65 zmfCP2|I|fzceyqGWQ`%D)DAH5f5Ps;?kY2q<_Uy(?oC^-@QVa4<9rq7Y;bvIpcY(4 z5<*{2m?J6kdhg<|wO}Lgqxu4UC0vY@F=M4|#PW__kvthJgiD4ece1cL#re8n<7Q&q zYy%`7Vwu=Co(uGfp>Iw&Tq5`>X~N)~L5weU&sl7>`CT?}?j5c?bvYjlSBI{6G2|0C zjPoI`4=SFD&9jIF6Fi9XoQlNL>#w*gfudCy*Av=Q z09{wEZoONnhcjyRBl|`SVC){(7uSy^;Pg7su8|`jdI!#&Z{3g~c;}}0pTkcXe4zBa zK^U5Bg1FA7yxSB}aN{8ce(!UDk@4ul56T)s7x^r|pgS?x4#(;ejy3LTB6LyAudVJs zmKB5^!1Wc?sii1I`c{J9aNTfh&9OfGr8~m)!9ZacgRZeBLfZ=^KUV$GMU8uNm&`-Z z?tK-%nCPNWP}M1?&hk*iE&qfh@k2EFV-Z$1=MjK*+xBiSe27Al^wlW1D;&`|Mcq9{ z8;ITwDaamt9Em1wT*0o#`XQRMcWo<;PH0|LUa|Of0OFBwuXs9X67`|(^~q_bkKx18sLq6|4#Qi9D; z5>4*c+e}6%VvwQWvVb%C{=|~{&lipV`T5tb^ z{edxP@{>Die$X$d&*h8c%w-b43VWc>`>e!F*s$~2=QU#*U;I#joA0qjerI$#D#!Ju zrx5D4ma^cv=#B1Wlz!Ow9)d`tDO{RHd{Hq?jB)*xFDl%(P9fJ~iWW;Z=+`p*(9_#j zZ_$)t-z#2)M4i?TjaLQVJb2L(eRwtMS$NkUF%Qy-{~HfLk7|Cabe{A<1|06Mwzd6G z%$2OV!PWp|_Wp{U^>7e+EA=iQR0jM1pQ&CR;xt3KT0?)x1wGL7{@nTZ*Zt7NKnc<4 zAJ{pUx8u???A*rMSA;=B`WCU zes;maADwl7Vx||Xfow{I5>m^xV5{JRwEwI<3TShGE2$Nchf{mD0qy}W_VA`@HR8xYn!;=3D#Y*Ae|z8aq5RDIwYk!=-T~FMdOowQWNIC z8yhCER{h!@jsG%Y3L^1G)^aojeCgQvCFzJX`?4L*fa^IiOhUoTV$j{ZNa0@1NHP{1K&$L51{y3Oa30@!5FO2kAuS z-|>p@LgEZc6egBoXt{KTaq|rcy4*=aXUt+qtS&DUO!=DK&`9@-qOm4txEUdNNBfK$ zq3>#S>~p8PTtGH_n?1$R4GqOjTgK?Q5cOGcpwU`<(;6Cme(t1Q_QlQ>?jG1_4M(rf zu&deF_@U0FrX|I!aP;Kc)qdgit$~EzCaa;slaS=&X!-kzEYYv&Uo|S}o$QJC9nY$j z<1+O}Erp#ylpAv!oG|Hz@#`z%+H`TNESM1Ty zA3DpO1FlHQaY{^jHG;qo@2t>E39`|sP(=E0$z~*SUh7~E?sY?zbYI#lO#{&|v%0mM zZXkwVW`~Si{gI`Q(pPVdQ;hxG}Wcg&-qXo22{ z;+mNQyetiWJ;5eV;9yeS)$B5>bb3&Tdu)bSf-r&N{Z}2+DaaMGsA;#r&6e^THCHBVMj_B7l zAHlVpYCAOCDF!3hJx%=k{?Q;4zb1v9^Fp!n7G|M6+BXk%`-m^1R6E>}pUu}8y0Q&y^%W02VDi#_{o9TA=ni|2^p{e$}w z~QH&Nf^)~;M_H-nJT!`Iwo z!nSCmgmjRH0`sf-j|XtP!SPnm#n#c#DiXbGh>+&swnubBMm=5E1JJEIyU5CFjX@vI z*>IaXAuV46ZMy@GNJprW`R?;b#O__2#W8D6^q>B(yZ&E4`J(e*>5}-pe3AFFXHHZ4 zk;q2Lw6es>9i5$gOc{;gd|c)UHJOblf}c(q_YOG~*&%DTE(O=P_|u1KTo9bPWsZ{8yL_2$HPoJIw$_JJ0rW{iTUQiwSiNqWs2Ekr%`)! zi$TVu3*2R1VYO3oK%BnCiVv??gMxFv>;mQ$h2t{LSGPz`6$w(=qOrUodF2Cks3MT; zhW2Mie-``7=O5a@t;-c9X}K`@!*#e_IKSjsTk}|bRcjT=R;f{WQ}i* zFVw3MJc#q$r0*$?FjE(F?cnH*?HCJ!e{o*KdG?#jSD&cWNJOS@B6pj{9&kLr@Lk=+ z<3uzPH~66#{@E9W|5f6w($fQ+mvKC{+4xb>POVAsH;()Ii08^t-$0b`X#TH9emHuh zIa!*W=!#Cn=s5kZc1Ao)zkF?F4N>a?OG=myJ;6Ke{Bn(N=^YW%!5Rto+!&RuL2vg z-_({w5&VYh2E*3!OQCX}fa?PZUx|vw=o}co@>cKil?yPY0^I{-%8rex3l%WV+}I=3l2eexEHRA_qzz8x^bXPJs*xzP)xu z7eMOpj&DqFHXP*NPsc`{26p*FS$UX$vP#iu&1#Bt@Y9~Imk&#Xrh}sV<0L82edw*| zVtFQfbeiHPtqAy^pa0@R+#|B9`Jh<$Y|-2a+don~-gEVDKA;90cB7lt@VWMJJBM5( za969G_|WBsTH9IQ%!^|=a!(gc;$@5BqLW{Fm_RBx*p7cSK34)y_xGc^KUwhdVhmfe zcovkt8#Fb;e1Os(R^F&ytpg!_iu%n9<}mR1pDB+iwr}bhPd;u`0%wnXI~ki(1TtcQ z(%LjN&?My^jm=QP-&9XJd8KlQUVgK(H#(D8hvpY0+_B$n_{#d$eBUa2F1*hwF)EwN z2gVQywXep>&=vV!W*f`V(SFdu&yt!4>T&|oRuaL`9ryR&$#gALzH(l2PP7ol2GoO` z?aP73YhRzLdJ)+3ZXA6XTnGieY(dZ6a)8fJHDV*G65dCCuMnQ80U1YuP_g0?m>JsR z+)Gjb6HAx7yQ|YcOmumLBt8SKy=M}C@)OJP`gpiQv$+Tk`7^uajueAReoVfmT_u<` zykZRZEQCD=6Q(nmF2MD5ABQOs%;$M-v`}Ls3m#GayPA0|3%GB_do7pd!tR}mn`fD@ z939b*Z2ICCAWQoTn*kX%rx>iInsB8U)H)7z?$b<#Q{f5RvPF6DCC8XQf(-K`ico$@ zsqTm65iq}8NG|~WbY||^wq)4eHr)Rg%a6lzkcDjQ|+shykihkOzI37~yFhs}k}m`^0zY!|~f4YHlP^R>{#KEs@AlLU%a zat(66<`HY#N%lxr&2p&nZ}{~u*&bYDvlUjS90+~qTA$amLu~?F!Y-#jm!<;m)4GYb z*Aj{PoC_I0|FHqfar4)GcZ3tmzvi3im1nC3Vd;O563i>%>b22aleHRf-RhXTNXmdb zzKID6bGpLhkN#U13uB3Xef*|in%oVWclhspE22kDINQr%S*w1_Yor|1NIKin`^^!> zAzC@Re`TN<*F9!2T?}hS&t^SK%m%jfzcad6ZW+heu6?%HJlxTwz??zhIs!lTRfKof zm}32y;U@80`XU4k&`ut3kATB<|NgwakpL-q=bRq1mV)s_h}7AnBIx>FeVAkd%Rdvp zocPNl3$D3U6hB|f0ateMqMXqSpiXvg+*%Ctk34af^%LgLD!oP5uRfhi;NbC}Oj@R& zvH6ex@NPyfL0s9af~W&Ey@ymiDP@qGbIT=V>=NL0wXAi;uN=#F{QFhhlfg6*9M-ou zW@i)N6Q_IXQe-kw=Qz&F$(>#-6~^X0Hy0X$b|Q#=)x5x*+!e0@9KCDe$DaQG@9Uf# zrhNv>QNF!u#2?)hOY{ZaC#}3>Du*t`61XmLbhn-ORs)phD3wfO``S1@t@b>ZzDHXP zu{#%w#IT(9^m~DN$@JKMkE|)hMRv?*k-0oX9P@9+^I`G+!Sg0?Ut-+94);01=V9@= z3H*K?eh!Q8*WtR3|8(NgHnxw0*Y|;t#K_)%#b8e2VWAR%%{5Xb_AnpMC3pbG8ys&# zJ|4^IFvs%Rw5=Gq#<1@fbA*nTsTe|(BVLqZ=Z_t`cFD%xDFE%U;4|msv*6FRw1km& z5tbv-Qp!JSK=dD@ek6a7K`KOV{Mq#`Ivy-(B1i+Vxy?(`9GfzX*uJl!M}60L9xRr| z+}1i$Pw*4@v$OTwra2%{(j-`VJRdZTejOSuDJ5`&If8{Zq2U3EMT-BSv0EsmGNW7Z2T73Ys2djXD8I@(;w*>{iIjKLMo z=F8q-8?PjA8Rx5~iVRu5jf=7Kl4FKBO!{b{h>z_`P%$uPjBmL)7DE48vO_gV4QQVE zF}h}Z0oXJ4k?+kdBlx=Zc8cctkV-IrZlN~mkPh=T%OPj5Idz<$!aAC-9_iymhUUSa zKRBd9`OwLdVJ&VhYzU)4&!`?>x1o^ZH_Ve*qq;gJc#q$jeRRYdYC_M@Q3%q zBtM)9{>6C_=h={zs4of4bs%qARzK$GPT+ayGogsuD`l8Jq_Et|n>+~0yp5cuk_cYL z@tB3=Z`$0ebb`Ne+^^c-$iA> zlk(NmTM{A!?>s*`%>Ln(Gwhaj2^`(5fzdk#0uz{j`Flp8qvC4VzVD{eV)AS;p^F@} z2UcoyFTzm&3F8wdY6x8<`}p^{i`E5%9>DdL*N@1K-1Rzw-*DYfuV$%#FVGF)`oKK< zyQIP$EFYdFv8vz24Mtj)3Oet(ffHj_*52J3Xv2(K!txPL+wfdq^6`hVb}Ku^8&0UqMb@_EqAaYZIzAXK zQUd#|>OCrjjycW29a#(33Q|N^jr>k<9^$)|vXSDMeY+ zwcrkaUi=Ah33CR0k9%2@A)X-3oI~mbRiB@8urj}^Y97(bVV4m_%g113%hTIPB&yn z_yb4eRhr|BlE6sur_}mg2pDiCZg7QKK!3Fhdn2nlRDPfwukvsLrgr|bSLsvXF}d~e z&Km)c)?8bDjV}m9yxZ<*V7W1V>F+G2LY%OikSK~H6LHYOXDs~ToBKnX#a|o83 zIq7H1;YF;QmzE_@ws`@*c7+*H`OO7G4VUx%@cUul`^4oCeU>xy+0!qv%y>dQ>&%z4 z5CXopF5VwQ3UDN6esZ5DHwsF*)tl@U2|MC8vFR?cz@NUK)mAzhO16%L%xOfzHTGzA zKfee#&9A5+^DP4IL8k#=BM{A?M#(GMzA%TQR3|o?$r>@-8Z6R(%TwRwuRz+j?KH z93AHU8R`X8eqn;NwGJ>iG-X>d?FXOb1{$)Dg~3eibhAn!=6mv7x^Er32X@Pob&yOr z7B*Y@24#>ZlpWnDaWD%7^5K&E3}s%>bIJ4d3@7#+pQDvuDq?`sm?SWi(H5*)LOAY< zSrPe`6)j$S7hIjdypN>4(M1Y4z9iqBWe6cw`_6ImLkU3;C|%35dnyKaZs=`m#9Ado&Yw)pgVEV%#hc8lgq z2KoTLs-qd<;58&;Nyi%nXN`hr-9uBrjc?U5(>WdXKR&W-#FqqpX+G8EqbYEvUv@e1 zbr^7T@A+(~m;jC}de=nHq(jyKyQ5$imgn)e{ysDIcfi;7xSJaH!;&ES)g%YAnlr>y zT}cRX^C$FOaA~o#udf$WIC6d&mG=Ov7vJ8nb$Af<=_|N?SQ=rxkZ0uUPQlMU43weU7Lb< zU*-0E493`Sa@d$tK@nL%~y*9fQfoSAnuCEfIWb_%&kq86Nrgpz zg~5-xJ70m?5A)Yv9lN-M`MdvzAJQS?aUC8WknQq1IfgnLco^&s>$`nbNk5<>Bio@2 zZI6{ShrKa>_A_j`kMzSql9TawI_6hS{wv+(8(%PRTfa?l750T|Ywh#`;<0e-Yavs3 zavU7ZVvPFzJP`K0dLX>h5r6Ul|XC<6Y;S{#Dz5aYP+t#l12;*c64$!>LQZ zd7BG(UFEs_s$OkP0tQZzdSC89a55YTu!zF)?N=El9wj*ub&lig`PU~)GaT$d$mPM6 zgWaY?zm9hPtW^GEi}dEn+aC|55#RS!2r|C09RmAAu9VbS2oZgO_lb6vvfe)IoF2#Z z%Idm@D(yL-l@WDB7t`Z7J{_a1{3}_I2`@4-sU1_p;0~yj^I~~6iw7(l%HMdxtEqbK zj%^RyHc@p}gNel)J@@cM@1y>E+~ zqagFQ!I!52@!&ZtW1}8wPVfMZH#pvw418IfxMPdWx2cKLS;oMP^yT~=6a{(%bEBPn zKJa(X{3p4WF~C04zRZvu2-t|}2sZ^b|Nl^J@3}HFg!kVgkL-j)=N#d|iDap&N9yo& zg}hI5e;n9eHM?2H76${D9}0YucE zcg#P9+J&Q@)&UGfgtZMsa;j^$;2xRUd(E1BTyuqlN+!TBWE zmp%ShL)#e!C4BEq$)pkd6q~`t(=!wZs-GAiEuOan87JDJ&-H#Frts8Ean+x|VVn-#G3A=@*@fD0i?rTTE)% z6AQ`B4_awfOc8ll&OSZ*a5zdE-SoWyYB#=*V({qNaO5Ik^?lt0pI+wdryJhK5lDj zc`)mCN~~2C^KldXT^ABl2pTjSm*@4ufvh0DQ(d_R`pLh_Yhk~udW{}ioTey*)A`=$ zR(=V1?ipF@Scw6CC+9#b_gF~3(=(TWc$mDp~jjCQKsri)k>L=mprp-?U(_2GVzS|*!%Ns6m}asBtl!k zg&pU;>HjyknElDR|Ns2_$+8XK8?||m!1sVsV=5Q;Xeeind*?&_bEo}PR}Q21KcCZe zCk4X_-^tx4&x9bAls9n7p$KfF+d_FP%OF5+Ei*ql7lsB+um65j1}AUPkCibMKvP-A z^lhU8sG63p;L+rfu6^je%US9b>qw?+MD%fTj}HWkxgh~nr7=~fKNv$&nvFNF3rh|)3FpFnv@ zmCo;_1Ab8Cc@S4SV>@y;4J@d=`?pGvZ`l6hpPpSw zfc+wiLc7qr$d8|TJ*Be{4E1bE7?d+X2o0#-{E6<7{K2Udw9k2+N+g}p3i%iPl4l+J z90e9fJVfVnGoZ8Mm`UG278G>oic%iP2frLw`P(sRK(Rf(%?SD1S+R2NZ{doAr7Z;~ zVeur8Fi)}4X+!&pOojfqqdh2;C)%rQ_0!@0l7E`i=@?kmb;r!YXM(DP zS~jO;7~I*DoA+lv1s*xrxGVc1za5o|Uf*ObILdEOl@OW&_l_}OoHns=VwHC&*FFRA zz2*8Y@$Q=Fefqj&HgA8ZDSSUB3r3>B#JT9Ar}>#O0D65yKGD}EKzD<(=Z@77FuN7o zgn8Rw$Bu@wUig*@e6oj;^+^_#%h4--dXxuVA=M*YhZ3Oi#<9RFsLxH4jHGE;RRjrt zbFu>JkY9X-t?NQhI5?iH@?blY0llo=_sM?eflYE=OUuD*G#{-u$vu$*q958Fn&L^Y znMJ4Ag!&KLenk{w#%M3dKi(6pkZB!#84vhb&qG0SewqOsFDYf%&8}e+kII&BQt4r2 z|Ni7l(k+{!xxpU$V8u1GU&-g$wdvt25ybsG{z|vV4e9GQ`dOa-_E?qmU5(sz?aw4XqEUvERf&Q#!6e7_dGo&cX) z#4Y+-6M$*_4(+sO34tF{@)D>KoqyvQN$0h{0NQl9*5V3~dVVTP*`@OyRV z^E&P6U0IOTmp8qCJqXy*bLpH{6x4k#`Efx$in!-E&X#h$yk+z?4T_p)cJHeXA>!5k zNh05Pkt4jev;BS?eA<2M z?z@O6B7X4wu=pM^eBT7_ON{&1;XWt$JS;vpf%n(pbyz%Khu?2{)gMdc`?BF?P4uuC zPbx%8E8H6!$RKzC#~U1PFQ$##733#DgwIbygHK5yw~UGZK>M1G%I4U%rkcZ_3j^;% zdPyKNdfSBjBI@rJDfm*dCkOK7DVK6DniBCRB0oQ3OA`YJnuVNG>B6BTR?FcUe<5JP zr;|&_G9YR0S@|bvlvnpYdI9q9QBw8$|P{(j5)Ur z<*_h$@T;u+Z(%s}KV(1ZpZGr>&gq&I{DAU#8l?VlwtJ_sP4=~IxdVt#ke`y+Hd~A> z<}#NG;&Hm4pZPz5A~|sQxm0RYt62P6BZL#d#6uS^Dr(^_LZ7Zt}8i&!dYvNE60!@vO?cOvwo2<_)hUU{w%6HdMX`~ zUubvy&!5lnwOYWEKH7@4Vgxm!tIYMLwtE&5G9~aaoj)~ zGfn@Q-Hi6a*7tRS4Syn-7(L$0a>EU*^d9#;R7nOE(cj)_r$RuUVmzWeCK#j#-@c!3 zhy>x~jV&|dJUG7p1h?}m2T(akX>Eh_*be@VtH};Y;AC6yi^@3;j{8Y(<)6$1%`XQF zq*+r?UY>i#_C_is9(%EieKwpp&&wCT^;7Z!{1kQD#((xt3{;zlK47|=0Eu>|-ggBD z!mX^du`v$hGx>!^?aaqmh+!V7pW=6btD)b1Z1+*d4tpm5fy>FjPU8GSLb@6hP%qM`aw7%QN&`9{b zRB5~8Ljve>4hd2mPlbCydf!PXFB4dND&f9J3|Lh#t@+b=!y%_f>lwn15R=7iqlxhT zdl1#c9dbYTbm|PNZEhsACA)5HenY%9Zq%7>;13#|&sU3goCBthYk8)@$nX2#X?*bZ zWBu$fxSMADef&=X@YpMr*Nvlnm_E6`O=?u2*R3J2oeKF5YiZSqO{c;;rq)CilXU1W z+ds-V6$@_f7mr>(odPqTV;^+~WCP>lT_*j-iNKVcurZhr11rA_`4czN;b5=Fy)%|M zuuqZY;?nJO7>#=L>-V)Z$b4~CwMjP_o*pZ_wfiutI~)r7t9m+@$Y(s>AhVfeOG5iw z|Nj}-u;cL+EFIdvs|&;&afG@xxs)~o)Cc|VPx;Llf%}(SVdk0s{9c^ z+)q1moi62#SolmekN2Y$9<9B>E*k?VAwFO3aVG~Yy z$j1_%8a!*AvG60}mBP0w^D&z?@qHay@8mjuO^0VG4kzM}Kel_#t9y)8df>ss!`5{? z1Il_HPG9gvedo!UEGP*e4nR*LV(3TX>*%)Ia>l7B?TzV?{pI zdYxC~SBk(eF}Hf6))nHdDl3I`JwYv+RY`v!6^;kqP7kR{hHyQZhjKGXV6C&HGZ=#M zU)Rasn4tR2T_3BIL(NFH4R0AYE+hZf3gIW#jlK~3Z7i9#FNwfGvownJg#sQ7$GarP zN$G8l>BK$wRAhWshE*S6vMa5% zj}9U3IgYb$Of>nt29e%=c{}2{k1G+c@{@vhqkNUIpM!;=4}ND7zb{iu#h}wnBz%2( zE~*LjBj9m?#|i)0M=Y6nz67q1^9fTAIv2yMG&NE#Q#yf9+dIaKr_ucjH1dEB<9LvJ z#B@(%C>z$MrjGd+2f?HBN_6y8;gFL{zFojn7sKOchD$Y%P0*a!4~y>+!}m?#zQnkH z9qx02&%@$#6L^0eUWdi=b-1p(8`FA4UXTRwoIG4_^1=xo!0`shTQl(;qO^*R;QQvX zH}hr!tf>k1sG&ZSt-jIMV*1`tF|u~T_(3vUXrA%yeHaPZ6GHj<6N&Ks!BY8+5=A2Z zBspdd=^XNdWQl_+eJ*bBf+ZVL&C;QgDdg0{&Q$mqly#^U`Obgz7y5GHeICJ2!kew@ z+lAtxSK?6FG3``foxO8J!<czC((nMA;u zBv1)E_ng0fJLrg?Pf$gDC~kL}vI6YQplc_)(&@Tb@Cgk)$ghm{t?BmEbD;V%j>|Y- z?QW|VmpO#?KTaGfD($qvex5V?LARO)I=iar`{Lq(vUc#Agc+(!&uH_r38MNc&yE$H zlNkhGPy7;mFNS3RndaDb0gWKovECZ^wmXO5r*`TI4x4w#_s*c;6=R(*EGx`5y~~IM zy`y?^m-mMeIE?clt`9217{4V9%4AY?H%sqq7BpuA3Y3A)YgonjXpYiw(MLv=Z7#>lT&%{XZ49#r+YHQx;4o(BHo-hLvjA=F%m4$DxMLSNCn;C6_P;W45MyZqF+ovn0NmmyU2OG_^SOd)ejNQ}g%E7t@Rw#I6ywrXgA#W%3!q$7%7sTL8&U*H7_QCd z{huF)^1a#|G)L6Ub{XZve#jOoC_YC#Y(P#+k}3v{r%%s?j7MS)+-!Wi#R}lJ^;UF7 zR}oz0@M!W!b@+W^R_wWNis0?z)tf;t3&8tQm3qM*G+#S;_-=@9B5~HUrDymFSz`D} zJ6&LW9qDcFRa(DAl<$!ee4{IIAP!DDGyQH*Affl8gk$^LRG1TZ)KwXR<_o(&J-(kU z2eN-%ypx+#z$dIY%JWDLIP4VIJ$5Mt@{JcBZ`P(jMzl>i^GGP@WlaT&X{JHorgflA zb0%aSRCPIeF9lw?%Q}|1goB=zB=@ELBoI#CK~r6uhUOVFI@H(VpiM|AlnU*2Rf>HS z#*mf)JM2zpofOQ1y~Uq|c>_~mFe3Dv<$5U0B*tM)?lG`zfp z0Jp-{pz}qPH~&|s>QC4gap!gr;ODoNLx#)QXx|0D@Klbl9~M|WHyIEeisAY$p+Lby zbYB<-K8z%CwD@Vp9jA4`HsoZQ$&yoGl)9fW_i6!zT#))TmP3N` z$G#Y?2o}I2Z0~^MOBs+?brRBTRKkuIUF|!~=|se<_pAQJ!yzHW_oWl^P+0Iw2gYZl zcDcnI;9m)Rz)}~B9SG_@$yuHZn9h{R+tzz@NfWxEo%-svkR+D)4eyXn*?4N(3D z$ET9tj^R?}iJ+I(G@VBm30nIb=&tz}!E2x%$WuUnHw|xj84wFkSIiSHnCB4j^Umi? z+!+fW*uSsLX8uSNu^$%SBZlvrzd3j<>M~7Z(M-WP|CT)6Zh7a44%3%Fsf(=B%JrG)03sHhs8te=2W0c%*#mDD^}8 zeS|NriRn(<7>!H%0Wmvm5_!QRL3MtV{{>ci!_+31%HK}|Zv zi@n)km|_qzGf+hElRk?zwx$>kvQf0}M1(xSv!>uwxqKRd8~wUtb|=w305T?(2cxHA z;0@Uj*{-p4f`@heBiiMjqrJ32-PacAB(Q0N<&*cjg247WN0Tw~Qzf7KUi>mX7HS@4 zpIGK|!_MpI4)^3`5V(x+R+y!m%> z-Xt61&s9DC{4Nw$9yQ-7dX3)A|M)t|Tl;NGDB3?HscS;_D-p>3o43DB%Ov=Tj)(g< z8CL@K={+3$^&$a+r}w4jY_*sws>kE}jpP2)DwS+93KG;@(XdRE$_3Txcv}G@^d6hMcIpV) zbK>)o;bWtL7i2JfE?ROuMevTl&5nDrKH+d~bNFFGWf71)eep)0I}##3)Kd73M}X4F z0qbPuTtXKyKRZNM^{Wt!ALUmM%@z{6$nVb+(Fe}?gdV{4m3V%lhucIU!Ed;3Nbr7J z-aQ(D;rbwANHj_@%?92w)dZPxT7mDGcV#c$+XIPHRpB?g6@({t@hP<1!Cd3hSDH8N zAxEX!XdBrD(3O^ z<#b@N#j0}pnkjf|+SP~@nt=|V_%rqzYoI%s^P?U4y}KOpIU{6e3DP}{^d&YHu=2X) zbB~oVkSMbJ^8c8DCQXyT4>>a!z2=qFw`v6HZ@=#GI%Edd-WJK8ayEw}#j<2H4>bPs z=WEZjPfNbE0rGRb@>^$Zpo-KG(G?*V!R z*j@S;o={V{x4|ymnmDuA)8Z}`s{?-S*4i^2j`}I>2Te4*?;w7)iC7T|F$2eZ3tr*9 zcEB*i-gej73Hs`G`%Uk=3>C(gtr}DI!V&ML8Y=-8*iW&GkF3QLQazT0O-3Ez`0t9Z z4%Lppp1cW3Gq$jC;a630t`|^;eB))<<_9cyg->}saE0qtjm6nNo#5Qrj+<{@SwPy8 zo^?Uw|L*ul{MNu5Ls&agMBirT3Jbm|&yR1q!RDZI;sXV5U`gPv&$e}hwff)hM`Wzw zdH^jX?lyxE{eG7si{x#snU!MW0_}}G&ayeL4V`!PUNHMtri(FWeA^3dp8V?7=a^{i$a&dggEC!Tbf{pF&K;n z>}^6m*M57=wVo9i!(aEI`_8)$VowwOw@r25wNK6V>(aXW&)CV9XDs|DOYFLkBm1@f0ujiB3}?hR6U(Q6c! z+`$t$i!&6uKp?LMd~LReyHD&r6ON+$=dzFd)kPno|EPIETIJF^YrxOM^Amy{w_Ra< zgPlLZXfIHVxXT_DI|sPF8)WVN5;u4TWN&f~b6c5!vdtQ&oTUMAKPgka_h{WU11qi! z88y_Gmy!9sV(5w=i0b7r@_g__ekkeEsy}?8eN&>-knuQtEWP}wutOLot+YjtPa(g? zfAPx6Y_NEPMveHsKYTRVB!M7(;;h-J}yJ`audBHS5Hp2Y9VvzB#x!P^WD$x)Qif4@q^1s*4f zPaTZz>l+ZbuGje?meDvEtbLxJ*VpzY@F{RI?sNeDjd`~#OPZHlZ zf&0_r{&l$D6+RD(&(Gm~)_6Y-Ubn&D_c#yWc!T4u)F^HIB#$ZdJ$iMMT+R+!E^Wi; z4c*{!7Jbt-MRm~eGkkc^!3Dld%chfU*}$ot)LJ?s2%myJXedrSyo<-*^H#HicQy^6 z&CGf}?!7wlm&xx8%SHb_r(f8r&mrEcS!4)*U=7+i(ZTO30||aw{z4@q&0_`W%Ni&6 zkdNA}K^{-FMi&A%KIV*A>6Yq(TIHGElGj&Zuhbigm39Y$ho|c=v@#_+!MuvOR%1C2 zCK?~gZEKAB+}=l?cWT-Lf1TY=ZP&Ml(F#M0u?RUB_PVU}c*={wWt^{$oVo4am*EQj zR*8r24=Q0V$9IRn@plFGvxPT$P8AHh#D@8b#%UD}6bQFt8dT1WV?G=Jjl8!I@axH9mL!IHpX zoDT_oV7|@Amti-C^B~T10zdP0HP@UW0NQoO<5PgW|0=QB$p513Pg6#t3Z=Z?L61?;L@W)tDa%CvDe0RmX{QZgPPHzu~$;wdrQyF$NV3*9V%K(-2x31b?vHge_DzJtE6J$xVmy8bj~x zt&L-$z?;H-(LV~f92#Y1DdOSqHa@EWUq634w+6*pLIn7K`kULs5)NrsOKne6MnNGrpF{liix}tGgmXVn zSi<~3$q(^*XUvqO?{A0p=o+YR_Iskel&xZWx-pJuFk-%0yyH>=477Vn(tU^ls?<}t zR+e!J_x#a^dNu#37W=caw0r@x&cF%k{#2STzxj^PGCKVxJ7fhM11fU^29w z(0P<$oC5RnhJV-5zSz4p`3a|wr9i!+fcp!zK;k@prA+0SizbGje-E!~_O1kiLd=bL zBedsi;Ckq+im4wk(x>n2LjV4)S9AJ@YC!hrr_*5*_f${RG^+T9uF4%&iOX6=Gezki*qvC@wiI37HAod?zT znL25*-&A@*GHKjRVk#7*Lf+61?F|R=v~b1M>;M>%%e(L-J{%705_u4NDGCDQ?GA^a zK4jLc1GTqMz4J%fwa4c2?ohN_>=|EyKNvFA$O--q0TG4D90tp9C@_;e7hVzp0(#89 zcJD{~ilrG@2XZ{2ZeLF0CV3F7Xg|&Pzx$hd>uN&lUNq;ESifT}D-_6e7-HuCngUtw zkiwCX6WC4%A3dYbeju)bCJ)Mt8YdT(}UIIsxiZklHs!>Qp| zy8}%DkUtouO&b&mnR{KiDBB}|ThE)1Tg3$wZcfnL$_s_ebK0tH#^{}`dA_}8X96+D z@~gY~XQH_~;OE#!MgXowzr?(Pdq zcNZwS`MikxDeMs~TmM2ClY8?}pvD-@(fG{?Dwiig*0`?Dn}G-rvbd2p;gJN+928qD zg*zeAgsSLEC>bnk^=y1CG$Gp|PsIZ_>Cwa$1=fId3ok}P?n~L_II^zRkH3B+zpZvgQn9;hEESbO$(MGla z(YJBHmm8jKcQXZK6b$FnG`-=Og+bzES}6D+kARV-DEP8!To$1e36|yis3hK?KKBOE z$4oRHAXY)Pi#jVDwB*=MhlZE{<;Gs|=jCWWw}n~gVzMQc((x(2?};segSXOVq8>Cx z5_nh15W)H+0nHozy9a^0nNL~>qra0iv>qu+Bkt86ka@j~evbtOA0Ew6L!geiT(_a> z58*K?S@M_T$>y!q-fsKB0U#9zUM1Zxx8H*a6c4+kDDl zZ}_4#RPFsE8D@&N`DteE!|?sE_#QEQ-vsVUjQiK&J}3A*EIv1Z_t)WdSUg{c>pC27 zaJlag~z?gCO-X|EOkPx>P*zLALfSvOi-9;4V z&qactmOo1&`04ebJZj@&H1B4NJ#d#s@5&t?j@gGr61ZVV9(z>C)eS7UN*6}vec+qe z{7dzh5d;srPf9QJpnQO|=`2ra0|VSMJY=ZX?Ey($Ur%-Gx?nY?)tlw}{b2K{2F*Qv zeT*LsBg!R36S$1?6)&^h-x{<()Rank$?Ul$9O1JnzKZIo;vwr@V%l-=!Hc;kmOmao za8k$ED0o1=!neL?+Yo}U*BgWEZmXjHp3Z%{IBG&5+3`TBpGD07`03(Oi5#0h77#_o z>G~`fo|@F1CrADIuJ*-hyV5)f9LD(&*9Wu|K8JZ9OAQ{MPW5om?sc%J+4RE_YTB#`W3ubDwUhX+pfoapQmBzPIe z<2O%CFX=4X5d4kf{x0_Y_hZk5L+!Q-Ynh|*z@TQfwyNR=`KL@AnT7m;Hl((TquCLz z2#nJ#7;zB1(|!M#^k-D3#?s`vgacBbPnP$>hqK=B$@mWKug~7lPad|})e}$XBCM)k z)@nEf%u1*)oc@zc=prX8_PP`6@q`}0_0^p+k3X*ZDFnaax?yvT%3pgI+CTYEA4o9V z5DAn`1f>I1a;IfdVY=mQuit0}Xxy2dE0D^8^8#!Q9mo%NA*b&^Z$U0d(Tu%etxN=d z-P2x4Mn!PC>FrBbHdNQrWA~q|ONagSQ&;RpG5bm-f_HziZ$&^5)Rzb^pJ)gKlP>l-hCR_lUhKbqei0YV>v0bfhzN`?9!33A z)N~S$qNdWIB(o!g^wj_>EIb}e?dJ;LY$NXuy9Q&suX4z#&Syc-j$=PMSMwqN@b6l) z_$)~1EK)j0lMhzmk^IW5*>I-pntJ5rT(rw8PzefLmfnhW@B#}7h zdy`N7Ft~={r}$QfcB*p%^vF4gcw9*ZH6d#1s9kZekhUoqdX5BhnpN(4awOAdZxZl2rJxLdICJFOAT(XElOF$!17! zD%W|>e)dd=ki9azESC-Z+eVgZCsW{r<>6n(8OSHX-pQamDh4)XV^1C{N`fI1t#?6@ zsZcgVUg5Gm4eVtljXKy-9oF*Yp`s6AuwE)gSI-#_1M5ZG1o@Fa3)TC|gqR?p>N&i5 zpezYC)CDK{H5_2)?U#L5Su`*zXAZ02V=>?)_i&Q2BoTyF%wIg5&w<0g&)>TECJj_} zT4`>fx^AK)oh_w@9i(zlMM=c7;l^Q z!L%My9SNd|h2}zA1E!92_@sF4+v#A`ubo0^UZ)oYW8vRj!#>Brm}2?S?D{;|{47*z zIF}0XclS@eHFXAy9=4PygtLkA!HY-LVO1tM#C-PAI*#Q7Xx;-qn@(kZSawK;`5Wy6d)|0smM6U;CL00?eMcGZ zM7Jdrg0&cXENnw_F#EPwejnHsPTWuC2UE?}1qN93+peZ%aYvV9 zA`NN}E~cDD{R7c%@lVEUWWbkZ=BpDkU~841znm;}CE|5tpj{`7D}?yIJKF{quNY>) z&;t;38OVY6V)%Y`9+ZALB_jDb6O?QMqyMs&68CCwB6QPo zCIzLEtOW!o@OTK!-C$b+}ysnWTWR%GuBw2*?&usx7cRtMDJW!>gDS_C>jqee|_f6ow z#JGPQ?sJ0A!{T!jcz+#UhsE=CxUR$TcFO)xk1uByJXha6a$7ADK3>1#oKl$%m#)^- zreqjkZm$xPMN$9s&*i4KPs(DEFOd42^$PN}X`(y4EbUIj-&9jhJcoW9ux_8b;JY^l z`o#idQ;^U2tAiIMw9$KF{bb5BQb88{<{I^WZCOn4Q{#um;QT`o(D-9))b*VoSPu1f z=0v0sxRKLq-r!9Z3@Yu_*PfX~q5RW_8LAt|zv&+jw`$s49ypr_KGdVd)01bhM#qfb zi*Lf=_soo4scj%;`}+F~AL>up}{@U%Q6`vh#6sF#Or$eH&08I$imz(NiD2p*)jGljYJWf_FR&MCL}ngu?y(Otuf0 zi{Zi1ZMUV^BVhfB_e4~)9BzFrhtNe1WEXzZsv>`>jwoRr6I9Rrr;B!}N9hH( z<`H@T*H@3JgqLBoh~PI|H)yI?$E5a!W4Jz0zH81)YmEFU_BgP7CIG6!cuFE)Imr!@r%*(_G}wjlq8I`{E2jmTGuBYAowD-qVdIdRDJCxg8u*T6;% z2?C`gCB}cCKB>*<`r$*#kalwRA}!iq@raVjW+&>8cU9up@zFO1ZdK7d=@fN?G9kV_ zU1qkxaXXm4r6~mP{QH0X{G!fl-igf#V4~e?JcHitFM0kX31i8SQ#S8T3N*(i8aOLY zX<7n}|7w5D(I9N#(!G^qSJUABbZ#2!j%>Jc%DYD3VFnEAGtm8CpU=YZt>D7KOgMS$ z@}Y|YIe_C#6wL{RVl;0`$ug3EFf0zE&}rQx(v<~Nb$sL%5xGFFguTex%!AXtZS2a; zS-_eQ)1Zy~*$+v@PP}@O1E(i{DQ8}cBF^2*qhj1*?ihY<&YAd|dWJ!E>B0PyzoNk5 z#(LPnM-kAsy*i*3kvkuw;o$+H7uC{9Fkjj^Z-sPf#l6}Ga%a%z z8|>e^_`?-W>@|UxZ$jZ{we!)=f*8Qe?i_l7@|J4OBU?XE-!tWO&tB5@c$oOBXuag= z0jnBe+6lYDpzC_t{CT8f7yr_nbG7k+dYv28t^5)2zNBr}o*og9vckkTr_He0`O;zz z)Hk8LHT&UUY8-U5kIMKYW`i~VF()s+WKjM2K%3=fEF2$N`sLwgk9;dGuxh2~V)%K7 zXYZds6~r>SBl1z~+w&o{fDc!26y=vT+yc$f`SqMC|I zh3JoMZtmCoU}@K@;FBl3fLZ8}!oaIkkklzvWvz?>yOQ&NBDV~%naS;Pomnp6A9q*$ z5k&-W(9Q;?kB39D^r;h(6$Y3@p|6J&nv3ku-6>rs5d^fmD{VVD69M;uIDSALyA*8> z_!+P6OV#-#5MH{(eu+^J!qWS^cHi5KB=p^_c2*0gM-dpGebH0RCt)xfA2#Qc;78m~ ziThEMnag^_}-}U=zQB@k;N_}hV%o~UKbf1c3 zMfvA$Cexc&oiiZz_~l=J-D9CXVf~)?oHry{d1~hvhJ##R-TQ@>|KW%AB@a@v!XgCQNn^7n{>K2ragd~}bs*R*o4~sm zv&0ueE6IT0gTve7he;zT(72zMf455pajzJXx4(}?JTVbI7`$jMk14zqp5p!-0hU)* zUoDb_6Zag)Ss|s1ji)YU!k$4+OSRM>B3@NPHKunJgaMg-Dka+_r`E z#k$-54^dwFUtHjE63ZHSOMgp`!1Z9a_Zu1eQsCkjTdr4!GXTe@^At|AKX-e;-_QWc zo^EeATISVkF@ki%@iUt`9RaW$lEYs2H4Lf;%MxxJ%O~Oo+DL^o7rddzPHp==nlR`N zyCxxr`m@(aCGIbjk73a|R~NE}Q2yh9e|!)r67c=7_#QEQ-vsVUjQiK&_Zy#w#pfpQ z{yLloaJ<3s)_Hqbu*t-_@&KYILaCiy0cazqGE1Xx9hbaS*t*JV{x26 zUnUqV`Q8;9IcI|LJ!_S!KLJGiRob8W^8QmKG_qu8UKfpl5@W`S_s`Se?K>HlL25KN zXed)uIgS$j5A3quPFo%>s@q}+JJGDtes+fMn*Iz|aaRhE;WNMxMP>kvj z&!_fd*->!ue09z}66zQG$HNX!PbS{4Lw-v2ewn#464(QWAAh!)>te$vCyd_?hhn?) zB7Pg5M3{`&=Mv=80mVQ$vNv`xEKcJhqE4?qKk#u_ngxYNwEY! z)$NE}&}>M;UL2>ma18kxNQk`;S3&jN53e$QvarUVb-JohrZ z=A~s!2viE4-=Fo%li**R7jd4gUFEg4vPy#^UYubjzM&Y7=i$d!H?)xd=q@hL17Rxw<)wEe~_ODTGm`U@1uM|<%WIPT~udc@TCeF zJrw|qtj|uj?=ywzvq^^olur=6V^`}aphku2l3H;&0k1M4{zk{AL z7WDftduI^3$aT(YrmUU>Db%xre!OZQiTs3$ zS@T5&d_XJDt(F?i6;04{ZkbS_eumoRZC_6LLCb;on6i*y2->(gM!y_F^i}-V&!aU;B|BHjFHdC%ZIe`7pmhXQEdz?F0wb(b$M@=z8PcES z33FpMPA9!7Cd!}KG{8F>sC4X{;0V&Uy#i1yKct4&j<)fasjQlRxhML$m zY+>RY#b0C3L~!%+V-CF(4^zAQm)7^hK-i3M#=^FAxUeu$O7k-j1m`|UM^d2rtgPw< zwSZ9K{K+f&z7Fki#ZS9Q=DqbRk#IxF{U&ouEa=`k-=Dt{07odSR7{W9L^#F(c$dLw7oS${`hU&HEPFO5$NxV$MdFS{%5%Gm~E0 zhWfw7%?opOrUSLE{`c~inQ%ng)>jt!lbrN?u#uXR0DSA$k2Iiq!d=abS;y( zoCAqRED_wx8rpjGlAvefuq%aj8ayrHp;x^T2l;kBC+N|=DEYg|(}VgE26dM?(k_RB z-}PCA^~ew?zFb>GzZL;+8ZR>F)5pTf_R!2H9icE(B{+QlWE4#JbpGP>PJ;HSLuR}P zm(H~@XN#l%&VE(*eA6+WB3i4w>*9%&I|STcX8xoW)+2l>$U?&t|%nH!z$WUioOi^ z`LjGA2kGtNI7=!nrbsZJYua7)f&_(hC8|&MXTitTb9yx7Bxvoq;JjTb6(-#b5*#;T zAXBzQWZ60yuF+q8_V|4!;Qn4FreezL(lLOazgSvFN*zkTp4 z=_E9_GPN~*GZ`8%A6JEM^4OZci5g!%35L&JPx4Mh_vPRZeZlw$XjbVO-7^yj72^qh z(^_FrF07#<`6r9OkEqC38s@0Jo_*!;z0i<+cu=ZcAr)@}mQ)UfA=O?``uw*X>wGfI zMW%6bc_%<~*b(&vG@KntasT9RX7|bn*@vQ82~YL1z3l1$xzc{>%t_ zL*KCghJ6z81P)di@4IVq*qFdOE6Z&==aAnuehw9(41V^5|uf_g-kdo-~9TqdLV>y-P?I9JOpls8>@dT zWW(_IdB&o;79L{&kK3Q!n!fJ`Qe!(AhIF%_bi(k&J%!`g={8#3kkSMo+y7TzYS94O zpHI~m{dEuE`(g1tV)(uZ+?N=?-?+~SJ`an}P2l}?cpVnc*WtSEdX>c9>tS&qebKMt zAqVn#f2DZcSi~JD_onQLM*R)q>Tkf=}ng_Z^bq!Pw=)H*ZlS>xcq`P?}3_h)+ zkUX9Ycchm%PxK@axFJ7iYV%^34~S=pX>Hwc2hPc#{5Ezd@A;31HIz4>ja4F_hIgH* zd>V(ai)&rw!bdV7CS%>`0@^38@PzR^Z%QPX1}vzxQlLKXq^!H%e~{k!hs!u$EuZMs zWM)YPm1aQ4pc3oj#L{AX(X;iFOL2Z0-z1V2gNm0$=HZ~~7=t3sU|Z*cNn66D_>23NQ} zuJZ|p5jc$VA+8S^K68`CDvb#q#Ca|`@~_zzn%Cb`*z!EE#g^b-oELGP?MdzCs+7%! zDeH?J8bZzlo`=7&)3SJk>J|g#qT6etp{ud*N_Z6V@%+cjI37=~F)BK}3@7*-$NjP) z!*};}LqUK0yIQrQBnW!ywwU`v5VKxlG^f^#hS(wNoPf1pbvmJo zxO18wV@=V79>De0#TL_d?B&@6zu~%pYN)sKjOrB(*9Tv&d`y=+mIT9+H#X^`69E>z ze{7<;$1g3>?Noj!-%MGsV|Wbhp}jHJ7nX$Tlp8bg{+3=~bt{VIN+Oz{<;}<&4akFh z$$U@#_h~SCCZ=-*@%>YtOLc;B{$QS!n(j;%1UkGD#SY;ykR!A|?(DZX*ygFO2^5`sikJ6&Efn+htub7bnKLlLzUzp{9X!6Ud zwbvxLmG=`n6HOxO0^REq?CRkqa6*Ch`Quc5Oebqxy%G5>9a4`;5^&0a=!k7|6c%XT ztCR=zz6>L>5o zywxVbQO$wKB$sH&>Ynw^6HS5g-r}r8JLIQi^HgQ_o;OS>U-8qwaRw~r_!6|%NzgKQ ztc!aq2O=uPwVolrGuEoDw;Jxq|3t{ua0~h3&nRz1RwG}OE)G}I>CytQr(P7x(ak`0 zspEe<@>Ae3Q|?096QmOlFtlpWqrC3FeixNjI$9U9)4`BFyY5(ECQSN2Vw0fD1EY+g z&!Sh*9A*wvV$#7_Aklu!aCVDfaUArNv-{oJZ-3QTnrb*k!l1HUp8MR1EY z*aT*FNem}LSNDPxuUa(h=79752hbkl>yB)}J4n#c5i=gxh5XRU+obsgO(2c!?6Y+J zVB!>JPZXT84FL9#+G9ND5ihJZZSF&QbR);^cM7jLrpeFLR%VQR5WWPdbq%9^F42Y? zOMrDaveLgXv)P-<7C1%I@5EA?y>#7%N3Wv`(_K_cahw8c_ z&JP~)pnb?iE@NKEZ(ml-ieiH?6+*81YqXX@n#Oo zae$xgii0FQ>I_JjbmF3&)5FA_lE_%(q%mCI$r{-(vYyb#l5Y#tJqn0~0InMSMS*bQ zem>`y<*G&d=U0Z_%O*OfqCLH_)=f@D@SW_k_6;jkS3S#5VEYbdx^m}`5Dp2@fVLEhk zpATh$}OAABHVFDkkuwv{|8#Ee`oT zY-Gjhtd_!#3&&g?J;wiMo*r5qGHtvrt$E& z@l3EjdogTKANFhMkAgRsi|Cn=uh}*qZT8clVMP3-zIW+&UUUR;f2);URpAgrZPPuJ zTMSo&C~jRJ;=>fhL}GrNK)zQe67cqa3XTgYA^3?m>XQt46MDZ{*S^?1mIy}<^p4RU%OG%L>xqrwv1cJbBX?>= z|7{2ydc8Q{$n!rQZhO%kPJ{ZDOpD*0=Pfynh2%euQKZd)$2TQgx4xQV^=j?6>t_>z zt)bKD^j~%0B#(&`%E~2h8Rx5lb9t;6_>j-0r{{S)5gE);;pJwHOBzh~^0tjEpm%oW z@2_1u^MLo}&Vj?cv9M8=U}^1>blP@#TXNe3J87*4-lqM z+2Mj!`(N^=?~4N3bD#JIdE-EPqqeZ$D~7;foDXq*FcPCoU*#zdI1l1HH}X>}*BHfT z%j)UzJ3UH(^DoYeIM0TVvxZh)E`irKma84}WC%Rh$PfI}iTGve>EB-;5pM)o4JVOZ z4>4_9!8(8KTFxaqXde0Lw91tXjKlGw zQF37*T@kGjMJY(|4*R$S$4h;8SYMwm5~VGMYYBOiwc~!!7+v+!cq<&*%4%d}?`IIY zNcfU_!13*6;OsJE{PcYxp^Kgta)w@I&m{B!uCGK+?mHEDzJ%a6TsK&)42bQ%Ixsh6n`=brA?m4D8sTe?yUSj(ysfh$FO}DDGf>zElo6}rAfNl zTRZK&OWJ$yz4tCfg@&k5JX#1PkxE8VNl{4@%J+VcujhIHfY⪚W!*0J$>%$Jg?`z zuk$=FV7GSC@dz(zVe&_ulH4XG+vQPJOV@&)7{&eL-4s+cC0)2=k+F{Fsm=v1@h zi#TC%OXB;)U+ZEbbrMplPh>FOln2cQz1CP0<0=L>UP?n##%<}B0lLuk<>WO5yW?22?^r*Bxe>f& z9m~;}(1gNqd4;$~7Vug;-J-gg8^-na|7l#7$2>gG=TL39W3fLvx2RvAhHuX5Pio)T zVQT>+4T18m7(VZj_{l0(InW2rGwtT22}0+ZZ5M8(NRUDCTGb({QUmPc(fZCdK0EAj z;~lqFHhUPG&LQD=upyUH@;X%T-SWNj-FY8h80(??rT<^+{+NC|{Nw`QYrI@kduOU0 zcqSE91I7cafZ=10%bk9J+*p`Tns0}zR@J@gFql|3eeQ@DKoIU&)bA6;AWdvhqdl!q;bm5w9U!X088OSVX zwQeQaK>;4o@}&7T|I;Zv@S zHJEJ2o{{wdd{vnC(+Q>b1vknx=5uZS@NQQ%diU^xX>J;NzJt!7(@6L8#iBo)OyK|d zeT))LlR876Tx-81yFYAqcu=X@_`#yD@8bUZ*6{GmlV!oyK!{X1 z^Ox^h1ei-Ld}gPJg4cW$nd5tX!G-La>dK915RLyPVD9V)bs;@%?N`13(?165o(&-U z`1$TT*yw%o1AGmraM+zE69lY#204lnk$z8(Rx6Oh5AgoZSj#2u@?NBaecN*CvWzZd z+Pb`Ga1|x?=Z6!9uL@S9pe&5e`~b5l2)&%+c9HM}BkO||TzkUM&rxZ$Yu*P=`R5vQ z-#Z3k&7&m)p65VAEBCLGfCEvlp~s`XJ##R|@aMf;PQ@B$=Ldt;IX+$k`rwdG?sn{@ zH=MYnv>sC(44cpT^~bL&fz5@>;@Th8fqBmxnk*6znE$f%A}8G(NI&mp(e&{L96wZ& z{DVtQp!;op5)CDkyK>g~9My+pW6V5eS8Qjt4a$*z=qShR49or&2hEBdz|vR7zADZI z-Gk-j1YC26{_7-fCkFYEkIvNE4h!V(aW7G3pve&$zZWaeuLJ_+(U*7Ekq!dKL9X)? zakeah1l|=gR+YQ)ITQQf&yMPpNChkC{hV&YD~Qf_|LrSw{-08j+suGKo!3U#9iE$8#u?Omf?5jOgRyJcaCm9&gWW!+@cZz`_#}-mqJC=1q|YDa zSI2DJZ`}Tpr3sSxX^R@ad|>bPS&`pGAMf3}JZ}Q`CC2^haGw)g4~ydsj<@(dEPh^x_jSV#&&~aI zqkM&owSESKYlrllHWM_p=r+D4Gr%f1m+QZZSz~=B zSfavC2dMhSz1Nt-7ZSI8RWyfeFoPdWDBjkO;3vgC;h;LN^KfGAlF`f0Q84K(b=+gy zmB5YfAEFeNlMKMsEj9a~$!TmsS-kByhyu>TMO#)c*j{?U3mq+LVMT5%xBBQrR&hME zOkvl<&v}7}`<1|O78g)U%aBU{>;^yfal}1Z_9Ji^=c@;kJMwLv!{F=P8UJ}vSL};L z&kHrL2uKM&9uq^Yiy8QY{h4e;_{(wdgl@eD==%T44~_^0oUgC-?+`uD5&&iczds7n z8ek{y>@&}l4PWi zz8n8B%FG?RR!aF}eUA&|mj_Er*t)=g4fFVX=eiuuJKd}t?h9-dnCy`=PcCe_zzCaT zOTCvJrq;NdCiJxgbZEP*hSw<*eUZzjPyq^&2zdQROIziNGvIyEb+vD0VxdMvKY;gF zO|)gTny>r`e#85Qzc!}#V>OXq#lODbOPrd@%>yXcV?fU6JsY~;+S{P^5JNs<{F3&oTBwji&-q}F1enNc`^y&@7=X2(Lnk& zv0F5)1@S;1Kj~(V_U-jyu&K1IpZUHMVFzLTc%);1h)y zh^KyHd($nB(6|4upMSFUNLa$v6d1a5)rVg%1&Y%u;y+NNf~`o~foJAgP*WVO=wRgo z*(H2o?=ze*r`w8VcI%mt@x*O$9{KgT|4_SVUkrVKPWr)>)A7 zCjl|XTg`m`2g>a%WMj8{7-9qQdO6P$=yM_ScA)R{Ob+mD@B2;`g?!n2SchLxqH{e7 z%E|jz&^+#F+krDO`Jf(?Wh$7JK&&aJ9p1i@@dkXQw`{qv`5VpGIlMi6V>|<>ss~Nh zmynKDs(ZK`-Rnj5uUYcHPls|+hW*{Fo{(S>o7=K+=U!K(!>@Ma*Iia1+bA5C52vQi z7-k_IujHc}cVy69q=TPC50`QZ>}clLgpnOr=L2I{T7T+w||Iaqf?{P$ds+yZ_m68TL`I{~9k}H~6Z#(h5 zJIEgeEUJHIne6+abXx==>`(Dr(sx162H76MTl^A+vjkN|hoHp8EDB7fcla zolKiGv6`_njK zd`|joJTT3Oztzi1gH+__aNvFkm@1j2UP0%I8KG%)jv*!Rld7sUt3wK|u*fcGTUbLQ zz1h(U&QPLWPg2n*mfUnBo>#&0`&*UFd|+xW-c9A23!4p+A8jsJU|#*owcZN(FgN>= zXKFeJ98>iAO5Ky8XH(AIYZaaAE|2jmcP4Y*mWrIs;k_C%T2J%f|>t~#cho^V^;yNFu z!26Sn37U`urkBPHJ>TWR?B7{I-DGbF4_G_Z7oSGp;Ja?&Lw9xj2)t``T;YoUo=fb5 z{W)5j?MSc1_Wl$@B|0C&_m%Ij7g4jtd2pjMXs|>L<@=P~cIt=8_z1h_ZH1_UrS!&{pB7= z)CFEAFW0gMm9>z6=s#Sa+COF#;avsd=dz9^qWhP%fB5v{zytp5{33WQaOz4lb27X) zVxGK`Tmo+5@)N0OzSn>2S#x+5D`$&)x<1`(k zE`!;vlsh-|j$su6WZJ_G$nSC}J;%4&0K2et!c{xM0ux?|7Z5mw=3kV^)3WF*Ko4}S zdCVL!JRcU{-+0~x?n{jO*Wo@VINsoRi_h2L_ptbR9p2Y9GB47ckI4eMjG%REKcojG zDZSB;{3b`LkEh;@;wI{EE@peXx-A0!>>ORKyWj_m=X4E>c?#jV)17axIgtLz_Qr$N zg(T>`VCuPky`12u9`|S4ij#@ZJVM3(%`+3}1~2rS{E&04r{uMP zJYfHK+t3Jbwvo9-6OD3BF86z$e1_(`{^2mrhj@Qb+Sov8S)otxAkK41X1m2Nqj}a> z6T2L0QBEq(zc?@AJUfXD@b1f%L-EYq;tLCB0?#?j%ybn$=YcG}il#lvGv_&IM9#hw z&5QoyWgL%-&L5lhD~~7m8^`?{A%(2n3-J&@Yv+6JdOn!Tw{7IoiNc?pZdEDmRFDW^ z@oz>x20uAIF__N_5WI8meB@h0G?(3VW8{XNK?&$wQ?#!W^?>Q!cgiz9M8KmSQm+!h zETS)B7v%eHS6&6Quj@^JARkG*FEYFRP&5Vk{^R`s-e0ZD)Xq(z{sHGVyl*%ZLgH*9 z;E3V<0bK=iYYXDhx1ZIc1vStd?6uj@#P$TZ-`nt}I5!s5FVR%4&?JDpdP`;E%|wVh z!&O8h zDI5+@%I`}xiUgxh0nGGk1XQfL3-AgDg7SRIaV$3kSbh~ycZNq0zD57*=jTr+6wb58 zgH1zqx~6L!JYn*vj(rvn4^9rq?o&Ssln3q}9f)=XpR>FEUhH(jD3!T8f8R_2xp${} z78o*N^MScUL@mnin}YmaG_TzBqu=s@c_J{A8jT7fKEm}`K0_|lvMB%I*<^dvOcEzN z0A^Wy4=*$L_Ca zt^r@an%ti0K<9k;ny22M$By(>`|i{`7r#n`U3QgW7T3dJwKbo&`%@e&4Reg-Vu>*R z=UK)g;@kW`w^>h~5rA)=dvafYPl7!OUs9ia$%0COSGrb7iO`;X^r3x9B3z1X5N_R$ zfq-q7^Lw|mpdc&AhB_-3-4i$^@>`|?)9G(kpV8b>VO*{nmv=OTi*7Eb?TsaT2Le({ zp9Vip0naS5M4|e0xO4CMotUfHFw?hFwEIvZT{&RyK}9Q`fczl-t!%%0PuC%THkEr1`mQp^0+qs>Ziz1e zAoG(~HJ(=;Q>MJ)_0}K}lIqX#Usyu(?c5Iyn=G^8vfG?M-q~nam}LK@_7u%`Znauk zV7VxVOv5?cDiLl+f3d&Qj?TkWPMEWBq=B?sb-4F@HVjpG&eIpCLuIzw8*k*t^E~V{ zpZ5gv4UeSK9uP_fyC+snd)Sbk_+Ne|^X?Fl8E52AjIaF8XChvtg4O2UL$?i&V+qUk zSvs%eiT>`e(Ec0Qv*Or=I2R$!b0~+A^GrnZtpH+ww!2NRJJJTjWBPFEZ(0eU(|O%j zd;q{yC_3@AFjaEP7E8RNI*3(Hx{fLqhIOmd|%p=i9L$nahq{Mr`y zsF@!PTwc!SdZwb`@Xs4j)rjYC{D^Prc8Y2s4zElnMz) zbC+jnIc{cv(cwGp#_vSoelvj+a&#a0$}TM{m8wkATZSo4{hWPCiXdwvkz2^?FV1U-^?g6%Qd)ablt+qOt=$(w(84!y^E>1){1Iba%312lD|Gl>0-=ZN8X z6Syxi?q7%doZxti>n8B|I{Y3MKd;04IwzWM`-JIY!KfyftKS0En|A#3J2|pM{ndXD zHy_;{0$IO|>dK>i;L;HhNfO5#c)xYEvEo1~h(6obAfX%&6VKjg51@HioS(|-loVe- zih}cD!^b!I;*p=tt-%uuNPqbcH`J9Uy{vis;o2`7?IWjsfq4`O<8l%S9v%uyaB6l) zgb}BKJ|-a%EKFEEd<5zKRl9gTyF{sCGD@OB5tea4Uyp?^r5Hg5+3HhCw`>BJalYDf z$z*vW0-ak#Rz@_D>tWVaOHoy+$zZ{%o$4Bw2nXKY;V3rAhQ1z?_{U07pf|6u_p(w3 z!Pi*Bu&XAT`x)eCsDAc56o&WC?8qwoFF%cLUe%wFH^RjK$a8;}4S|RY{j9a2(ZDM< z^dV9rioju<5Apth@4SEry`wC_gE-G|N_z!WA)Rv2*|{Hu7Yqpg#d#6u+2BLjA)QFq zsn5$J@1&(e;5mJB*%rTDHn^Ufz3F^29z12&cTZUd5WI}zaTlkewfPY8qy5Ln40?7iXrBAV!E>uWwGp=h;gA@+_1ScGf_G%y8TEFQ zJHwtA{(|z^c~DlDm_7O39hmc&td6b(!A>$;<7nd)qA#-k>C!{~V z5chVpv#kJVeQu92p?L(c&z@Fnu_<6nrZKXB`lT1qf5`QGvZ49+;PqIfH)j5Gr|~xO zefZcEa~ZS9g)@KdWxhu`IMOrptrD!ckSD0Qt%}Ym;=7ru)cmbjobeUY>$?6#J&CiF_E276+ zEcG$IfvU5+Dg0rT<+j6n@dzwNlyl?5`C_=`-S$$0q1CLle5y97B$c~23@JUPEJWp5e$ zYzua2K>yB}^iJI4r9|X2uobJ)nF^Q8DQqjAW`X&MAxB4wT%i9EK>0B#4}2m946f-R zzSvhD$xfSyevS=|9jCLvp6N(+0%swxwXTn}tD?CGPhHUjdz2$Al{b`o-v{WuFuz`2 zGEfd>Wu!FDfbw-t#n+!QK%xBRIifgVB zRX_l-M#W0HJ+wymrB=~td5p<$qOyZN2csXg<+wBpUZOP|A_|C&asY;z9u zq;WKfMU=q6QzM?Cl>%t_*3qN-4Ea*>4zvG$kpt1e`=}B*k*``BSDQs{1>m{p*6z8? zvELE_U$UhtFuR)^*DUD*Fp__N=q1aqP!t4WZH~@W1IYg&<&ZB91m3kZ9|*j0EHsN zvb=nJ)ldkMbrK_*cmj!f6%{pd&pJ+kUbfzP|8ysdNeXGGw0CitUKRyax=+|B? zhF~6NKH)PLq13EZ>ojQsc(<=e9nMGdikD8t>{crVD!CpG^29=@en7F1dnp_CG1=CA zvOxI{YZrYO+fknH!`BuwNFS8VWu^Z3HuA}^llVeWWQ)C%OJ&=M^w>BK3h$6uG`2>0 zUjOh;v9WI{sjr0C2RHh@EJgn=hQ9iWyYyHcv9BgStjic@=R^C_YJLTOAROWHvybph zfdLV52{JT)itlqAXWw3v9b3It1XFum-aKlJCF*sLY?ry9XDBSact`W)Aj*gS_x(ya zavm1D9S7>HzC9F!X+&M%buv#H1qYXc2wWGu=+BqvSp(|=%XvO%KjQfGLGmx>+uj1m z|BJ#{LQ>&c6V^fBq@tL8F&6dKLUTh1PmLT3WBC~x-5&{!6)ReJ2q1ZF!JuSA6%>m=M zmfXNr1=<4TEWK~Tu&qsTQ6rSMh3{`X9~RFM!}BI^Ut%0@aGw)g4~y$2@cBCY9u_~Z z!~42cS!)R^vU2z{v`oE)?v?TS`|~9)fc|bOyoigcTzs1ZE%9w#y6E?11m4F#^5ub@ zZP{yw$s(`{P$6mPuOax!*j<9lbu$^5I`SUhkV5bK+HU6DTLlDeypesmbpYyF8@ow|c~ zDqg`uudfV>6d$Iw6eYpsy?s$%kWLfl>vjgq1GFy+AU^wU-O6$X1j4m96@29cKk+2} z4D=0*#aOk@O!rWwgM(ec;ZDPJNRl+OvB*m%a2V%9yg!I|9j>0EDNpbq&U3QwZi+Q7 zXTv%5zOsEk%nAO*c@gK?x@}R8>$_`E9sMNl%=W-=Jh!b3+q;2$M_Bk%j*5NEfdo}Z zjp6hpcp1mzr5`*rmNC%;e-pS*HK#K-k^|i1^Ea<=m&4qytMfWHLt!Ytn}eDXOzG18LJ?VY@ z7!2 zhLxF_A7Ee4T`EC2mTj|Mg+1D?@ck!q;ypAs(V@a@z~JHwz6Wm&?^*T(gO(3JIvVX^ zHelo6Gbu0Fe$i`S^~f98m=)_(d_3R)`B$YPeSdJJxhqhbh5WV4Q9clc>@R&3B(2L>}GTYp#ZVFzx1@C9C1!e{({{rsQ--K(R> zc~80WO7evq7r6FieMnN;6W-t1BJmzR0sF+P!+q9FfuWCGwm?oFi&C_D*Ew&jz+8Wh{LWB+#xieU*ZBkuKqDRBZhp@Cq!?^@C6ZmN)Gbvn&&25;c0A;+`Tzp z%rh(L@5NB$6aJbpx8i6pkWf@0f7(!(U-6Rr4Q?q@R$U+eikWt#UHLp`6!%>JLIz}Im1-lH6IsIPW9TRCYD1$R$8lB+O; zX?d;btCwBjV#ErqUZMh)s7qSHF=mS9$Rn95DIB45Lwwsf&k=-G>hu*dP<}|e&{4%b zr!aYuBi@XsI8lz(t-a4ABw%$-sbXk{A`H+DC8yXJVCFQ>;%16H!O8pF^Nw*Z!Y8yn zHoNeL#yQy9{50wE+7@0gKV#oKtOt(Yd8SL09AL3i!rvq02=?^QMDx*b8}JnhJ@KR5 z4W|6^e%8>{EyJNY7nWc3RlMgGY?aKazux@dJOCPGxweIuIgq7wIcUG)@1eg@b3! zu|$0tC$M@hZAG!u9(uIC^ib9-gWA)O#K~lR3}25e*B|eY*2mJmew>2is@PmhpPm_3FuX_R-vBKuy%Fk)tlI#l%Vv!FO(fpE9xX!!kEM+WoUruH=+XWDLWvOAZ zXaw$4nBK8KYiJ1?S)adZ3aJklx3|)b3H-SAUau*rFBqK<`tW^-& zp7Z4OZEhE0U$MFfMfxuv0Jd5Fge#Hy*lE_KZr(0S;7MJ{x0-V&_BoET?`P)NJ5)m8 zvV8!vnUEe)uMCuNnca%ckP^q9ede+)hJU{`b@d5>BXroL-TuPo%-%#@;B_)g`BdhC zj2wpJx;CxO^%Z_YSR!|hm{)QI9G@OHdk9TV>ZkcYV4=r#d!VWm>*a4e52Mn>@Yzj4!y+ZjmSEYWwJvXn0nI)RbSt;vcx$)Ppt2rA1hi7#LC(5m2&ulE_eWFk7 z?=ls#uO-U1L_RE@BZlWq;J(DTe;w{~g6m-k-Ne87I{Y3MKd;04y5}+@tu<0;-uPer zsg!bGY%;Qeo;P&9)6rhw^kfwIdR@oHL>IvMDGcfU zb8D>N1sS{D&JuHs#P8_m#Vf9W%@8Zh_5+g z$*>MQ6)K!i9iRg82uJ6Km))_{GIol)jkegQFiYN$MPrzc@gKT&)E3*5%Dmlq9 zIA1kQgrv{NDqtke9Kz*-=i%Y+`@ZbbidZj6vT&<+F#J7b6tP#*1!kHKeVd~>4V_i= zMsG57F`Tdeeh(R2^D%_@L1DhNAZH*K?Uek>qC)UfiuC59B%L>wmeBBSueBqjj5n;@ zGPDKm9HTHAh9ek`!#E$}{ejN3ppeCn!vqiFJomPA>43A)X(%y~KCWbAf#Lj%^CHf( zEQzY-C0)jFb%)91cPTdv$8&}YY32+;zEE7e_mR|qHSALQB&43>h~d19WvBh31Ew*$BAn zFgDp8UPNE?CfA!n(La#r2k`z%`u8r6P*N9y-|)UcyxYUFwg}dhAtrSCer>^uz(!LV) zv2Jf$M9aa)pUQz(EDt(ZG}aB}3Xr~EvX-336E6MM(pZ%W24Qm^rP4)oZ&~z;t}!qb zR65DsJ|9N+Roe^o&nA*UvMu$5T5>u}QXESX8_a;$kB=5jzE1@21g-Z z_rIm@^p5PAiUqx;8^s}a6X5->Et4xEssGJy`X4{v#V|dnwHoP19S6SEn&kkCqTzP; zC*)J{jgRpjEy{$FRHWZEj8_)bFJ*$kb?xlUv*kcNFdppL zUImTSlrO6qkluIb+0hc@cYFGZ{&*_#W${f^^Vp00R`C3VrFe-H3k#Hku0XbU;(Q^z z*ky3(5_rLN30t1ANFT%#z0`=)L5lhHr!pNtffHyA=GabXAef`VOfTf6_a<- zInZ~#N48OgpsLM3Pf}e9qKOJDsu3CB`}$|s!=_x&^EUgds$B)AgBf{t`=EKdBclgy z3a5Y;2iqYYq`$r&vzIKOzY;dAu1%&OU7Hi<>AC&8P~Pun$3%@r2#<3f zeWo<42AW}}_eN-5(eOFdt4i8zVl7Z}*D#VR2IX6)DJ#fT!0Ja{Sh$@n{5!rQQ5R22 zjE>fajD0H>gQh5NMRc7${6GGB|Mq9w_tr!gd6eVOka4hRIS1tF$8?3TD&UuHo~}(U z2kFWIk>1=Ya7spTHy-<8rwdcYZL|H|<~ZdB1<(1^yJMTHChY4CC7@~96HmXh2r{ijYyP4-viD73tclNp70nDRo*w1I zXW2f#f2fAQ55KmZ2BO{QJ|J+s$BDHL8hXtyKBh;0N*z0l(kSEM)T_Icv3HArI-vge z#rydn&A3G_g#6yd|9*-1Zz-`46pT!b>e!LxP6>nlAI^GWUoE6Ay}Y!$ z1SW6l(qBwN@AbVI=knZY}{Vf8TGUpkoxx_f%L9HoNz67s@yJR~LAl%x0XUj=mE~;CgQPB$LZ_ zE%5etTy5ql2OOVPp3_fQ4pqPr*`c?M=2<9@m^E&Uvl=|Fh6E>`N(8wdq*88L$Oo-3 zuj#jj7g0Zc3fI>aJv`x2y^7loW_15uoiva$fb^u7_Hb=*h+s+N#pM36$ag@bclD^T z4#qoV;k`8Oit$oExVJ{?1C^yeRlaFoghsc{t$8{h%rr0Wt=y*)Vt>12mfpC*SpbAs#9aoq$y--^#c;OBLCUx(LU)}F?;)(te5Hk>*} zY8M53ADD}`y~}}gfYro7@4EfH)h22x-=uIYY80SO0 zKNzNoGJ1H*l;A;}=T64H{XK{Ht7spYmV&th!M`{!;yl~4yHjU6wFXA#`_)^IxDt3? za>Gfi&Z7iAzdCj6z-kW6@}!v@@`)#S8OP%oGTGjqZsbS!kH2x;H~ekbeX}(K>77<1 zraI6Yr7vuw22bDbEmY^Yj=V($dCCkm42;) z#k*?Mw8#gp0vc>tA^k=yl=1?4D&a7?}g$0!JY-f4py5eu<7xBOpSaCd$xV=qzj8!&d~;!`IW1{&Fc^gyKGbRPflt>ODlc&1o0{*X`e?4~leKYb=pv*XO)a+9NSO&i;-E{!nSGn$QT)U@)ee5Z_ z*f8k`W2X$d^w_+xXz#8o$NZ7+{4PE3Sme(!6zs5Tu_h4^qw%wZA;0l!!ax67B*WAM zqwfmRiR1p~6q6@@?c0ldhmtG$u7>zxS|6S#&}F2<-{mES`{-UUnMsQ|W;7E{F^v5< zu`3&%MRmgAv8kIhr5RMMn**yOuE)dg>-$PO zZU(_vk_+lgqha;uMCgf^F@Wd#80u%T8!g4b->&{db+SbGrguPR#ykarpQOk8q@a25 z4(VN?@_sN$_R9Vw@;!XH{X^9S<#Ji1tRlT1s5 z0J)Sv@=@gD&)8HE@JKcZ6m7GfF&qej2r|p@yo>~J6mzMKI^YZe*4|6k-^wH3hJcf# z$WM>-U34(@5;}M272IJ_kqPRITHgZBC&Dl9*tN8}c;GuI)+iV50P^iCm7T6;#7Zte zTe5pX2kxw0k3C}G2Qp^2^{C$=f0{TSA*o7tO!j%yaC{hoM_(W zvUKqK&gmfd62+;welQgLG&Emo-$@6}L2g-dG*@Um?@nX-&<2)U9{ZZyjD*)G29m>N z69MNH>Yu4DPy10H@5Zpy6p8XB$P>5@48%eDXKkNvZCUWhJu~*8t^=%ojxE+s4+HRJjGn~#oy5@MNW_8<#>c+#O<6n`6enW`&m0LR_9sti zl5dx>0yYcA@;gc6phUO&UH;un=)XyR8=dTc4{rvUO<5-JY73c3M~PtZudLgB&Eq>n{u7J(mb7fE{m2xh>WmgoAf z*Rr9%aIo%_S^$X8?n&q|iUzO3CD|~=B)Hnx6@P7i0tC+#8E$@zM}B9;+An4O;Fh)W zt361sGZ~kq+$rJ!mxWF^O7$TfPV25cR)?LjX}e5|$#PEu2Y)49H|{2nC-BbpqMgB$ z(sW`Ubkkdi_`XjAYkM6T7yklcUrE_3-#vl!Vv+|Rjk3mB0dsLpd5~W?2pIUX$`%F@ z`y9vF`=2bzCXgP;qHOQZc~NhoUiXi#>5Q#A!NY5sj-&LE#P=)7yLpci<%dC!v>nOq zNTM$AI++_^V63mOCvbg^#_m*R2J)Y&XB^)c&Hx;rP>{TJhDIz5E?=NpwG4(^6f?ON zRM}uM{$Q0xF9>S+MxH5MMS8@!`8VUX=sx&g{X7tg_YC3o1xu;G$zd0ipBy3`Og)ta z<;R)2gCy86;Y$bR{SqS}(wArEeWoWgydibe?DoY*^k&lp@5n<}z3(4e)UW9M?)CY; z;)Na13*&9qPa^iWxXR*l*WF2Qig}*<9Crv(e+%;Mr8&q~Tje#Y)_%2UNG@U3Y8c3Xygsf_njz#LYy0Nd8;*1c zIjZkNTboVr(^n_?ntF>sxO8m3$Xmw)HbYNboH?0H;6|CW!iY^)5YX^;oO1ad2%A$o zZM_uZ2_6601`_n2k?e#y61=pzTzjx+Cp? z4TLB^Wiv@8a2e;TZy}jFzE)w#Kji7Ed(;JB2%()24hw_84wQ0m745Hcl9@~|GU2Atczo%t1n&9j4YSGvYG%oSn z^Jgrqejz=7^mG8U-{r96x*tH`FwTc~e?WQ7_bll{eZYAT=Q(q7pA*;aMnWq0=VMAK$UHDdC9WcwY0^V4S`Y`D#ke>|{i~qprq39wnOt!OJ)v z{|?@?XGwA=_#4Ol%rxd#+UMe6V)A@>xLz9U8~8R!xL~V_&RZYQ z+*ga;#Ypf@?o@i;Te0&%ZhD3C`g#_y!svk88~`vz?K2;+@Iei+^#OdC}k zqZC9ulYQaF_iNGc^;>|_oMs%joyEFXjZp4P;=~zus(85K@AGvQ`Aw~>key7@iUP_r z!%Zx5sc25^gy!y+M0gUb`{#FBG{_X5eHve%1fv%oQ`9#i{miQ^=C*e}@G|lA9`%n= z5Ogc6}?zBVja6NkI0ID=6X!NM##>~p!Cpt7q;KjDoBHuC;WOsHo(WEB*TPDG{vUG0`@ zX;>V{mpJ@NKbQoZ$5J#_ni3#Eba~H3LfyvF|L<3Sb+k-$DS z7yu_gd> z!E{iSNi5P6$&6h45D%Y+l~~o={Xm@j)S;QDq42l2L|!;126n$olDD@Fgrx2$MgN>= zFi2&1?e)h9?p7ZPo5AGaK+4F1`%DmU#_OMRxf2ZuCC>t0Xk{V)By*|ZkFh|%B%Q#j z8w+b3{^1QD>_F?vnRhX-SctXD_30102661MSVdu{h!cc1lKH+?LZ5#$T3K+n7xv0N zwOWMC5BS~OcWyVuzO3@0AH~HiM3sX47>QiPS{O9xAlrY zHgK_WPi##vNV47jyNO00@cnu2YetW^hCB8-!{7M|(iK~7f9q4>NrBs=Um2OBkuJVo zljT3}FDDo-{i$IV!S3xWIMxL^g z$Ihff%;x=!ET3R3P(h`%0DXVPeJfM7N6>lVm5o(_vthu{-27=G-w(pt9zNf_;SXXv zc1EyX5rY8dzZ+)Y3P$(Qq5qTH4P-y0f@t)?M z=qFPqaB!(+YtskiuHblAK$Bv$6q!uy1CO;Usm5C9_jG<&rhXdATl=@K{>J)Tu%`|N zk#du_k;*55Dr!IF`2OJQ!9B@+n@ABI*LKlPaUBe3E1X0@sZ{34k!_mu4Cs8XTTa z0vw;ZwhrjO+~E(^ihVkPm;9h>hW}WkQ5sxarS>i*_XY=M+8jsE0H}&wDWpN?&UpO< z+P};Zul9$9Xz}0OlR@yxJ9@h-AO&*T;*atN?#F&P&^67w`GHfdJcBcOzsx=0@aIjX z7uNecXjgHF7`Dw&vvkZj2@JpQi|0M>g++YYB3X=xA@(=NbU`8cnY{)&SB8YJ`Y{)KaJwc{0P3j{AVVs4e8iUDG8buA{~lK z$WE)0HN^Y>_{m&+(#`Z&B&MpOa3?t+2Dn1`PSj=k07bUk@p|MBh2t>Jhj@PgByUMr zc#Qz(L7eCI7xq6m#To!ZQJoe0)13(Z#d#6u*#TQ0R*~@}IB||DdG4AQhU0k*#qR@S z8>zr3PBVUXA`*7-%9u_aF~e|P#_{;)=PQHirws}I#&O?0{l(oBu z{iPnF-?LZ0ck!x+A6(Sb5wj8Tfy3OZQz_}Y2;P~dYf&kh^oBq0guAQIJ;TdCbo%*< zLC8mnPVY-xIP3`dIBf5jLG(qGJNW|mR*+wR(`SkLQsnRXuP-`&c9U(bCWYt+@c!!9 zyx6-1r1Qu54euLX8f(6GPy=?Hd%4RSOOT&;?q8$S zN|`FqD=X26Pp`73$S(Y3W>e%d)XJ z){%$iPRjZt5>YOoP^-aB7Ub{F%rIivkqs?WJ}srX*|1S9)wTU90kZtRe32hZ0%66k zpMpMSg0flJotP4oBmO^rzSSjfUqz2X@Vk|7IB8G-nz`CJSL4vUY?qI67`q%cA!$^+ znjHd8nLD|r{Ufj^-zbFOMj2Rort-7=tb(dPAsSuLz9Mb4C15G6 zJ(sY6=H&n76<&y@h~39@8Rk7s8f(vbW4Vk1UBZghu=C#DAAXb7;4QIzMA5DqeC~6z zGQ6yXErli(`8(C1nRR(8nDHX`T1ecM8AHC}|JDoiw|Q4i*#W*LjywtPKAea0yZ9`3 zvK4`+{ij0h2bs`&I0_3mTmUr&SHAP;7lF`8@$%aq(QxrIb^Mlw6!`q{oIQ@_gH4y^ zE)6JGL-0n!#qKl6pTqWjV)^MJc#}}1eqB8qQgnX~@H(PgT>rk&>q|B8D8QeePOB8o zUp(b9ADssdhb}z0hkPg=rSHA1t(;HfaN8{U{Sij@EOG-AdK9ze&|541TR5c}M&b%7 ze^C{|qxkkOw^uS@h+}@pNzgg<_m#|J$OnIAFQ3kK{;@bd)$N2dsk0bzR8=5&S3r`ojV5k zuj8xM@v-}(Dp8;^d${nnRyH_r&}Kb!Kz`d|?2q^F@W%Wm_HBQDk`HosLk4|_M@Gx@;@L);=x~N)T-%G{7 zA8DCQ!h(FT|J?)eyt%Yavm*}zxydFLQ2j(aZwr4gUj#4jsHA<CIp!+!O z9lqx}vxt=@&oDowq68{e_oW9^xnMQwE#XHGI}!ceGcgh+@y!dE1$E&gN7HoRV5Tkg z6G8XW|Mn+elo4q?%DrvKcxY_DzYqpFjIS(?)Pm;%`z1~GDi~HUepFst3sJtj`VB7> zKxk4|y)?oQRDY^nc=k4msMpan-dUGz*ZF3Ap8{wL3G1WK#mYVYuHJZmgg z+kSOMnXVi{6uV@rYO6r*O_cfM0P^dX;a4_AelT9YNA`b2KI}PkWTG2S>InR(X`V=Q zi!KH4Be7Kc?)7k9s!Dc>J|5`2k_-I$v!VPvxn%rG1vF?{Uz9sg23k8km$$ALfT;-Q z;P6yBq*QF3Nx54HC)A&*lA>JI7mIuWTiccJ#-48Xp>1Ipu{L#9Ce0#na8Fd4*#OcJ z;dm!|V`zWL&q`t+C^Y?i;+|T8{36CUoK9aM_LX6jkoj4(Pb+&zkH67GzE3M`dp2LD z0oB^81?+h$vCnawHCM<<`g5%q*v`{Zo6VyfiGTI_jE;5vJvo}MI8|q2hVF&&@7H70 z=DE#eDh%wFH2)NuM$`pfCoYyxPChC^x~hM;p0+CL&~ASj%pZ_;W&ErG9G}{ETD{c? zsf3&LO@o2RCt)L)Bu34>4wlST)$Bi{!$A?ph@6QmxOw}NAmv$$!t z{dyPqQI=HrTh{%CbgT~MSY8HScNfLT6D>!?junD|q?qGtGA}qj?Qn(fRwyReQc~)5 z-wiHj>M=Mjp#AmYh2u-TFwA0a=q^9Ua$$7@jwQ`x4{+b-2$7u7|~S6Zm``UVr#`9p2X+auiIxL5J#2R{huS zPsMOiqRFWk`NHq7D(ciCzfABG^Dh38@Q5rJp=R##Hbpt?A`Zs(lcfZ12-aJrqc)8JoWn`JZSENiEeR~ z9BIjgCK5$m@4H-}W02V2z*9}&GR{|SOBO?F(}lpx^<}AFSQW^WQw{!>7J`=i->Hf2 zQqcOuv|QGYaKFbtv!WyusK3!$SCN+ye7zQQd`R#?IeeCX@PDLz_dnPF_dX&*GRkNu zvXT+m8OP4d$dX-ZN<<{%j z?csUOb)Cn#pL1P$x@hmMTZ%o>puZaDCnJ+G?&r(lgpad7NZaZ%pnxJSW+5gE*r>!9 zj3P5|9LD$%s}K58Pd%S!S(U?h5aYR;Mjwer$^tMe6S+IW_F4|(UyK(qo~@LKdKws3 z4JxOr$^wtjNx%%)4-hhAEZD1kH0b8 zH*7QSrg)eO6x2SUH*QyfQGJkslaN2sFL5R%+sc6?I%?AVv3OW>*dO73KosX4vRC@D z(SzY|&Z6Eez@-kf?yD_OdB*^6?hjhNnPl)FW;KtLEXV7jSt2(f@z_RiJ}WPl&{2!m zMe%vlv~8 zFx+1G-hL_znB6Zl>Zawu+WxbA%RZMu%5iJ&E;s7q=c?YB%#VgW;|vBtFXQ3rw~JIu zvnepYc;fr^lNd1fZ9d;jodn`Bwb$5@&sp{DdjCpFKGmLgF_Fd57?5q67r+!rS7n0gG(3-5!KsVxN~88Pism7yksqk zNI|{@wXt3NdB0O(@(+vMenWKr^PzST(3Qw>s|39(@0CBa8^K9x+N_jo$hX#MdoNpe z9-I`-ka=U63uV%)6GHr@K((o_y`Y*8v^zgDB}EEhoy@A}m}e4xUUht+m_hFi*r|0_ z$N3~@8tAR0pBjZMpa@hP9Tr9R-yU5?e2S^yJgcE|s225&RquE0HSmUSdouHlK5!7e z4^Oguxqx)+xJgT@7z<%qBYCL>`8kw%ou}k4$pXHiEV*m1Q(-7RK+q7?SALC3iseFO z5LD~is8EdR^5yxb;?`MEeo&u?finT*SywhUP@T}R8O!3b6A4uGQmYeDIS}{5fq02N z52Oc-DPzitKzref#}?Y-NEGOVPLR7biY&02me{YYm-xaY#J{xo>qpQxg>k^_cEZz&&JLAqkf?^C~oBOh~> zXZz(s0^kdoQiI~CEzkwNAq<_#1UmI{{yeE@Ah*|l>4bdEK3*;nEE!7&fosshIUNnJ zUr@ZcRH+LS>XPv$HPQI_oceq+H|h(T`M8i;988De*`Ei*%VJ=*faW(DsSM$Vnn}S1~K9@1n&+;wsbdlhUVeYEN?>bbqKDBfqMP_I|~6FAP}$(Z4_6ixuKBs0~3v z^P|E4bOsIjwL@&KN8<5WVJ&*X-7_BOQZ~q}j%0$kTv;G5dpZ34@PJ6YvAh3DgYMiwX|a@a)OH{@@4x;2&Zmqm&X2CVOm36#nEv?1JIT_ej_7 z@Xdw$XQt7fc@5k0JEW^eo%!rLKTA5WPZ`#j5GR93)7@uddB|_om8a4H;R_*&Zs#+a z55{n?^OHnmk00{4`-gY@^wIKSkXJ_Vb7S13pPYw@_U3{s;TLVNZ@ zRfTzEZBf9xIjet}C zp@BVTA^!aeN*SoE@x=q%DWH5b7>efwmM1UfSOewM!f;%dFAW))QmY2@1J$YxC?7F= ziZPgY(L-7SEb@BAwU7!s6k8W^7RsQhg>;hNA{LGZoDE2NnE<~{dyFj6TsW3LH^vIC z)TTRvj){Yl-C#7_90|W{WK#j@jx46UhU^3_VmqENq$~1@zkSr_pe8~1!~pqkJ8OdF z>2g{6tL|VT9TyYOR|%HV#$|=}E`&x=wiU5M1$cZD&I)Bz5#>QWL!`iyt}Ix}I(oe= zI0NSa3~w;J#r$D0A2G~t0@EeN^y@I46Ko$A+nd1V>#%!RtY3%Kb<@k~qvpb>KVe+B zID>SI8m5h|Kdh<5`H6YzIz7#v6i|1rsUnle0x3_Y+5xRx95-GlW`#G#Mgl!qr_eL$ za3~zzd3%d46X#(su64V+Mp;lH#RPCkhybjHwex6hE;gV&$#sqgz8zu}^I1-VnHN7> ze;GJ|x(u&y^$^-4|A)&MU-kX)K^rtk*GPDhvO>v*z#JA>7K8daz{;(+yp{<>8g0|A z=slt!(b8%X`HDYbx}e}rSAg@i&aI=gd7cGucpxB;)F0iy-oA0hP6Ewg|Klg4!CN28 z^`&4*przMwAPPh$-q&k8B>~Y{b5`=%cpQf@KE&#SKJwuMo2M`0Jc#jJWnM<|JETL{ z{Z6P=qSqehUyK(qo+TwNrFM`(b8C(fyUpnDVR*h*orI6_Q32F43tx6d{)av9HIu7P z$Kbq-;c;fvT0MzP0?ywU?sKhl)+HGx!I#s&3dghy!KHe8;&`PRbp7G}rp%KLPu^}h z2^AxKxq=hRL!UWu-f8d74tYN34Bt;l2b`!X1MMqm-AC zuZyzQBnq~DtKpbSKnrO}DP9*bM0-2Wgrfc3fAs)XU+t>qPuaRw;{1ly4UT)dn-9CW z5U~2-@6i0EA1_kCD;V9h%^}@2nZrGGs82$>mLw4DQvlnNw8xgBb3v(R_T2@iB8cQV z8Luyq0!smpriak`r)rqnUWM&K$hj(Z@Pk7({IT(pa;zwXYhS)JQ%xlUjl?sx9QkO_ zobP<;g8DLSN~5op+>w6Uo8N?wNUuxcr4M1EI0v@YKLizqBOMFN5prjt9N1;P!L{}% z8-yDv*)H&nMbW;74|AIS;7)U&(zxUWjx*GDot@3gDx&5KnFr z>Ld7%g%5v=B`hr8;iM=lhKcIcGom+3ftC7Bvi1Hlh_UkNT-7TBx?A_hLy?{=>$7p~ zD1kB%4W*7aY@UpthfGov%MRHRu+z=fY)XDL89*uYjBp;(#rpGRc@^#DzpA;zBsiY| zUm1N5L_NuXZyxuio6$W36XUa7-5_CtO*uE?)Bu_b=wxz;CNF@PuBRuskbZ>TS}bLP zF4`k_`*K=2B@(zyWw!fMv%!hsgQ|Ug9z2a7|FDJT1m`Lvi)P!S;iQK~kCRR&v>Y%P zzv7k!EJrR;DsLviC|O;=JDDudcJ2;tOv-^H3=cP5kgu5xMb5QO=PcMdx*pAm?*G;Z z=fp`BlHpf#>sbSvOxQcqn;neiY|mS21uryaLn$FD#un-Sc9WKb4WhXp7S(*!J8x1! zOiW<^DWu~Y^D_R8UQG-HjD5YLWt$0C3>JP|dhLq**Sp-!u1kThGigr0bP|wE$#3ac zWVL=@#ZuYjz@ea4>!XF4P;+L=wdR^Tn4UattEF#?pQp-R=&2W*faT%T z5+0gJQ2)J|+4I8#40xIBG7^Ic4Ug=Zs0tDw+nTfTC*%NCseaZP^4n5*lNCbz6V*w5 zmz+ra&Bc)5nMY@T4~>y1+=>=whfHVuq71nfb#;<*HvG5%)OkA&uy1w%^!Da z41_n4QEv-QWr4iBoy5Bg^nD(D@rrGu2p+Tyocbo}06g|TMIDdD;HT5W>_WnLCfM8< zjx5^tAtXz*-TPn^N%&XZ5sjUD>$OlAK~T`Te`$m&31qg8e>&Y6gU6@H=6oKvs6C;& zsrL(uWF~mckMAQpUjoFZNUl)<^2PPIw0wZA1Xw4_cTb)@KzPhVx6f3Ei6C7Qbs?U} z1_O4b!ODfn2D+IKupX7x~c9JJkBwkHN4iD z*oOMK{I<@j*Z+p$`D#Fw>uM((3?$+wxKC0f;NS0j-1~sbQ;{I|p_s@}BMr|BEKioK z9{jR1xs2ob+8I3~CbXY%_Ct67$gyG^pB{AQdymSb!QukFAR##(wrI(nDm%--P9k1L z1HG@GnC3fU_B9?r#g&R%F(1#L(xlo!{zDNUDy-x!dp`jNYP%#{#%!RtY3%Kb+fDGGo5#fkZu7LaoJEA&QI#$4eB;mcqWi|ylh2ps!U=67wnu)eCV)zRcT(jZZvu4|H+^qD+E@FB%NSoh-&2|R zq#_;$)^k;KtwTYavc0&`3C)=Y(llQ?UJPz84*D2}7Xh`bVAcn*XwW#R^rNQ~^Z^0hW?W|KxbSdaD{ge(h1Eq{S4?7x9LgYJX|3|6XDMD6 znKo0Hk!KX)^#E31?a@4^BYz-Y@Vhgt(S==VD-Tj{#)1g))qqGEl-ht@X}8?{Y@_D{kHnMMA%ogLYNQXNVG2s~Y3`XyPbCPK zh}{=L{guwMuO9Edr~}IcaaS8ndv^|Pl{zq~^+)d&9baD~wIXxdV>{JD}@6DZ5^-Du@p*Osa z#ukCh*wz8jJH2YUf1xhKXje@g{%_DmmI2RFif zEv1<_q$B0>#$-WSvKsW1cOnz6)&bWZcEbyG`QY+wmAU9k3DQ*@cDvNx2({kBuZ-l& z;fC`ucc;NjV4#@N{zF*>b*w)Qe?3u;@8hwIJ{f9TD*@LxY56;g14h)O6 z?Jigm2;M`QP1@O@r@$WW;hB!dXSykaAp!Z8m}jJv{Z1$a--MR1&5b5V5|F>O+=uSb z$iD7u-EIOoMuBC^8U-NF&XN(FvW06RKd=9IfqY8;ttYPpXaqW!~&4@r$&H6Xs{ zLM)SQ70li>wG}Tb1w-~ny{*P*KIO%sS0|@SAjk0Vw-BW3|8>3Ylj=eZl>Z|9x#!~q zCtDAVJKE&qIJn_GK*TDPh2!0PM$y#KdGz`J;z0I%vq;0=Y8VVRH2AF2j>pyG&Wg*Q zb*iCEH@wvHbrR@(bCY*7%7m-r=bHA4X5n#;;q2#I)qEGt%b<`k?ffQ15}vPl#GL_c zT0T&pUlj2qs2cx%RRV0;t}A52C6E3KowgZxUSN45@>W@p^-RM5;d)36k=aTM%uMzE zQhHU7<5P{?FV&ExT96UYr(rfJ0Es1v9&xEFAg-Ca#j=C?D(k$*A0U5#C3zB$z3BZ4 z%b%ps&G+mPK_GDZw{`uVELa_3Bo#T{3{`sHLN1dE6OSDVxPkZ?}{S2)mUoq_oCE1x0 zFwZoL{M288^8ki77~b-;cbTf|U4ntFpa_|D1)M$bVTj+U z60Xj^HI2O=fTcV;W=Z*92|!+KE&#S1i|Jir*z~P^N$BHo@17k zEtJ$RgR&l>*MV;4IR9e2i1F+xgYWr0)6L)>DQC+vpoQZ(-JQ}XGOBu@mx^lT-GlmK z1>3AV35hr_V|aYBiZ5)WBMawm4EINfpFM9dDTG9l<-;=8b@1qUu-KCyUN8)i`e0B5 z-3QDQ^~{hT2}_TV#DoaWJ34*)Ug;P{fLn>+Id$bL@G>Y#>$!U@$ZE}B^)<`{iX`DP zACFi6UtM%MA4Gn(!j@LJ0g-tVUKjP`F}yqRtqQLPu=8m)uVRZvnc+;Kj z>?i_OA9${w))S|UhR>3MUnk9?p=QdvVeeur9NgKxXu%%?Zmc19#L!-&`mVBf{1)0P zyx}Ax9pM09vfIz}7G!~f-tk{0q?y3P^_L@`CmyaSTVJ+Adj{IyHFBs6(Vmy#^B3Kh zyr4e&iEAWRC=i>h*AaO|1NYN<=L3wf&__%0;sqa?!=EMgDzJ}+1X-O2Z&zcX;&Vmy z59MgE3t=pHmxkt|Tc)@_4M#%f7O|{!mp?3Ib`%7L`NO_0`AEH;D7f^#LQ%lO_CJ3< z>7%O>M^@uN-Rko-CE+;eI^{)JYmSG&tG<_Lg>|8U;o~APJK7fsHuC>YXG^F%OhXfi z_Al}d9Tw?E_sz5BeX+ZPS+BI$(#b+|$Xk8d1@(#ut~kfza!fZU`rM6(oWu%Wm7zVvD)?B^s*Dn3E;t;WY01GS^UYm+vs^l2p6 z^}P`b;f)4aw##zFhCxuUn?wDhB>~iiGfCnmli+HN+*yW)X)r6=Lb_dn{N0^w0<Z>%FW{uuo3^jg5NG0@~hjFynT^B)^Wb?Ue977=sf+wV#Nf|eJi5GjrI-;olZUo zU5w%xu+r`v?YK979_DB};-usS zz-drbcQ6vviejzfjs>E5NPpR{MxwLCXz%zK>)`+o%@ojM@KQT#kpVZ)y1o3w z69c#DwilIYV&Q{)patpuEbw5KxBgxl53Fs)0vTfguz8%4Qq?#Cu2gg1Um(iBbrvo@ zPnA}Yj)vbuUpKDsCxYt&Q`tUQr0@LL!C|g53+@T$1}(FC!3*!pslDj$VW-}X`Qp8@ zWFXx8z_Y(a6)a898CPxT;q~3ExaQ}Zs>%f6gh#H&+#+Fq?bJ`%i~e|gy3WbVnjk&H zgI;IdZ$FKNZ7%{vPhU19_w}qYbESdIYE{gGglrhvb>`?upn)kJ>uT|FUEpZ!<}`bZ^v6e|qOoEDWeuK>wd8`0(dh1wESEf8HfO zVHXns8Vfn`uglWm-PZC(lC?UhZ5WU59}UHEF!IS79Mu-J%xh2krCf;Cti+N$tv7e(V0wzvkV2**6@Ia|~y@c3d_U z(fdS15LKm;wg;ZC6xt7|cXls9jIzuP#-&93`~BVd9O5S+3Sgy#j8C#~Kl zhIYK}IIf#2of>&Wmj}!8npJWg88|+X?me@}ZJY|)_rn-re=MkLZ1 zawu{NdbqEsqec^}) zjdL8?^U+GsU2N01?@k=dWXthJBAoIJ7A$-63_tw=HiLWHZ>Gm!rf^l&|7;|#!Y z7~?~%KKM-UD9Ti;2pA7yJa?7rMY^L*EZX}CPUU!d4(DHt7crjgH(hy9v7HT@OxI*N z^@Rx-o@+X5@yk|azE>VucXbSK%lV?d<7kgH8S3gr15^<~iB z;2Nz>Dl+%DP6!B-v)+Io#&QjB8Z`8Pi;1GdwIo1ZTyRga>1A)VF1CySY|FvEB~ zGB+N+{5)aK%8PVyq&)JBD6K&Cf?KO>s~fy7csg`K7wuUIRee1D2-PLg50-B8#z3ag zdd&Spp^&z(V<9a%5-iedj8+q4Ag22;Q;$YC@Ts*OOxTTt%JG*Uyx1b3%gRDwh$0Bc z=Z6+YH-iDon~fzh1$ngB`d>favx%wf5Arb~?^|-FL3$sP=}Ip?qWGWI*_WytVhlsf zlrc;x-VoMv=*L}A6T+9u$3N4u8HwbQmpVvWcPtg;|M>RbD^7uBrMS=J zNXLHOqOR?@TsFkG^M1XG=B@|6vNQc}K8#ayJ&`*K`S$)h>F8VO-x;|AcCr-uwEVpv z16wJtTIC}_=mkkS?v1Ed}5G}GVk2 z6CN15t1G420U@Y@=d?fqSae7o+503AmhbKB*X=_3A+gRn>W;C%|CU}d>qHPF?$cgQ zYf=Rw6{itr(h&SyZxxlFj0*x0rqI2sM94Sl>@w9|-3Vw)Dv~x75+sZjGjNF@-&_8? z!ut~UQ{h95H=o93q%+yJn-ms@>Qip}i(|@(Kz=T-^rAlUCu>QTB>9;D{fk^#w~>yJ z_4WPt&!Krh%U(4v5$YVk^s`v4*Ban1@`0XYa{1t!1a+r}4NOB*;2hiUd;U_nz`(ac zJ&1HHMi_S(xG%@!C(rpVEr#R_NO(aLE%n?Al%ABICjMarMF0LAc^H$JqG^fd-01R@ z^CKZ%XGN$zApnn0N$Q%b@=}q|dz5OxxF`-fPqGBWuI0c$XRn-eRTg}E@^)hz&3Cu> zGSqE})4_qn7rdX|n!{0-%hKnD(Ei-Ne3gA)eoIH+2!CFeR3$PNC3Jso>B2A`p8*8t zst3X2^aOX2FN%458SqB4%yZ*LGW7Y}8RGsL38P`buKlm#fO}qJkF!A}l=1E@iE+!t z@nhtgr^*EK(W{gsVI6WPgxIwYH=+xCfVZ$k<9(bz2?TZDCo3%d2T%%!YBiX7-AqpCY8|3-WoM!b@!aEMMk9u>T;`Ea}$fx!n z4iYNeoVj1w;CQE^RdV1_Y9<~BQFS*3$!5|~o#Qj4j^-|~xSH%0YG9W`dtrJ$R-F-n zQ1v_bw-W`@EiaTO8ITFX;~c};`+W`fb|Yfp#H2Wd5b}%0@|BV7(jj7+b71%B&7O7C z7r?&X>YQ2gMq{++{CnayUAYgQ7g(O$J44d+*~1&h^^Eka;gJ1BkSF+uS_jQlVEDv) zLI?Jtxf?ga)5@|7aq#Y8!PePhxv;)D9Yxh20EM^Gx-F9If|j(%HLDpW~353uAQ)=cMIN5Qg^(G_ac|LW)=3O!<%@;YnD#yhn^I;dNB@ zJxN=8B+NZ_{dgtPjWq0hWS?(MARp7L;V?#h?SJttbU#h%fm;fk-M;yEuW$;O9&#l7 zK{`qp4`6tM;jQ_@gORn*{g6Hm^IIR=IN*(+S0KKY1d4rU0_!|41LhBl`G{eD6PPYB zmVcPe3APW5?M>kGb=W=ZzkVIYPi;iwT;Z5R5V?8L@IX15kN$@nP3bw7 zmF1{TFuu7b5&3=zT)QHsgm?nuVYmKEbxlY|s7;z7Yo~S}uohIPc_W=HgPrlLV?8Qx zKtfA>FWP%-UlBfY*V7J$D;1AX2xQ^7jPcdild4CQkEVj|faj5iCoT{&$Y_(Een|yc zzuH4bkiT$#q~I%q7g@mhnZ`{*1ihzU-t`_{PsjP1(R8E!az!T8*Af3coEicvS$_T7 zfoLA)A3sf3W_iTW7{bv|nZs*u0>I^(hshS|~u&kp#ZxzT?(jPW5>AEe$c@q0;X zg!3TAbFxQQepAsVz-jT2nQ3inoPRN1#CY~VT!Tv85So7!Rk|1b-3rI^lh(D&;&0PH zQjBV@_H7)yng-h^GHNAEAaSp6^DLqo*aD$sIKUW%EyZdcs+pESEiM3Ka%F- z{D##H)vt0dda4-{u)5#}(R$EX^giB@v8M5HHyEOuq=-djBY<*__3PWiNDn$>wtUh& z6hb!ATQ*Jvg37@gMcOw52=bRXf4p5sx@`NJS3|h7;gJ}Jb>ms&3xCuggR?jeZki41 zY}z>yUiERskG({`2P#JH$Es|Ac>ifSj$%~*Xc50U?iLF7br%wb>uli49p=cz9bbqm zYN$Fq5Cr$h)a%8_9l%SjT~4nv2)3K1^?54%AZnK4&Gg?8*!$`s9rG1CAl|up`)X+nFt~e!amgT^w6d{p8ec8pb+3gRGLb(f<7gWC z??*eT-LntTeo@%>=Flssernwqs3OV-l5rjm+8>3`pOnNsbt4mcY}sOY(0tu#5r(IB zIzFH_quo;`>IapUgaIFUSD+Aja^nM<2U1V$xM*-M4ZgoTzQEF$1N{1<2A%53@S^Mk zb0extw0k&H!*)V}UQ9tl;bkz)5na7`{|oXtId;dGg)tJOX5GI*d>quStQ^@YjfO$W z_|50xNat?tZBAWoDm=c%Y^?Ai0ImhSq3t;k1B|I5GZydsAXrfKT1Vg>N%*2UTDUy5;E zRNJ2&7lZ83&lhckr>-W#>&pIYc{CSoZ+po!6wMKz<`lho{8KEL%?@aQO_>iUu3CM4To#GfckZ6qQpsfzF#TAXQ!*_C27Qy2L|2g>#=rRdu#osG zt{C~v`7#aIBc03M>l8y)$Y1mIB|^LgNM(?#q_ zUm_I$J*~BcbYJ`XUVLmjnFyPAXSA3lqrqcO1LdwpA&wvP6`Oo_eg^}mV)aE;k#eBd zVdY<&*8v6kvsxvY$nT^%Az+a>15yLhxA?SDp@rgn_1(r4AR*gV-!K&i*GG&lZMR0k zfu|1zE+C)H^ivn<7LmXA`&aDEvZzm*x^y|9i8vd_K}+)kyl;+s5HP&Ub-!~m+cFc6 zgVdpW_vumnEoJ?zU278g3jT{L@-weoB!}|ATj3;iLR<`Zza4cWeeDUl#r52da{hRn zV>o-)i^NQ7$O|gGzE$4DP} z9r?l@ry1-DLO8axP+NC75{kmVkGB>E6R`aGQBd4r+ph{+IYx}3`GKI^P;{q&w*VMg z8|C&N;Uqk(OtPO>&xDE6`IpktK7_$C#>*3rU7+ajiIG0E52Ntg7dp`Vg$3&kDW@nw zf^cC2Z;@aQ9^ZQoMi#G%r9rRM$r|p9S)drdZ(3B?4=^6U@CL)%Z#VW|%pTSz3=Ul- zImeR$m5x_lZ*!-C!1sEC@g?-$JwkbW-8}>MhsAuvFuw^*ml)Hp!*outeOPR70-LYH z?qRWh9ah&}ZLVgMRzSXEym=2!Zl>e7QK`~SpXna}Meuwi$;26cQQjTUs*1vS*uZo5 zyP@JQ~AC_-h>*VzYji~%?Cegujo$R2vFS8?bh4M0@J?a@$Mb%D$ih?e=%Ofc=kr~ zcG5SBLdbLu+&#q_f#bQ5Ta|@Ee-acJiH%;|jssH_?Zd#7it{pt$Hts}N@0viIDccf zPu9t4>WXx0F4TN!t@O)+r_Xidh<98FPA3{36}ThaTk&*RN7VmviQKbBq<9MFonyi* zoBO;p2piAI-)|$m|8y6R590NQ2!AM7LZ?{*;8MxibIj=85vz+t73H`cWy*p1srr3m z?i{=>I@4~pW-%Cn*8^C6Wof#Slf8rX9RBeeRyQ=Ax$9#@WsBDZLf(A#s^~p=qUQnK z%ENT9m+YUu-HiNUOZ+{eWHKPVF^pmSQWoekxGl>dy^DvR*kePvy~3t7u8FE`^-5T)-!34 z8lOr;c03Ds_}h@`SmKH_@@dF%bUw6} z3>Doi#QTDy!P6x}pFR!MU;p~tw+Gq%F0^_6=g%j1>@;33%7Kg#k)v;Eb0BQ%T;2{l zn&bD--U+7E2mZJ>ZqmHLpsm%hvQz6xNM`?e8{Jld$@5Eg* zyhi&e$@#OJd$S-&gooL_H4E&AA9oeS=D<6B*DkiiD)>dZk59bUk^m|+q-i4m&fVbH>R3I_nGzl}0@5TF7RT*QEpP;J*GewC6JSllDQXVhETK-x=3$ zQ6@y(y=bFglmoL5Ouwd87JrRtjOcQlvQ z+i_j}azhrdpBDXM&yWWZEth`*x>tQhTdnPb;>O&>dHT}tJm9Z$jeaqK@Ge~R%K2b~ zSL98XR+R$be$0$HLD>aVXN~pLSF)gG^*8_EF{G2+I74mrC=Y19eahn%LH_D(zYOjo zo$jMW!HJRPHt=R7jMv#a5{Mh1yGS@7yP6%X_4Je0(q*Z=y)CU!A zg|>&sQGbe~>z%u49;EI5j6V0G1lPOw_qXd3Lwj^O4)-S`x^iHwYV{2bs)I&Z+1OS@ z(EQAL^tEf*k#NzxiES?*+OPe0e#{u66**W4=^EXyGMB`FD>2+%*hQ6q_3r}u*j_%c z*CX6oFsk~+l>|m>?yc95jxiRW1~qNUe@i1FrsqHn8~VMyy8UPL=;sPhPf1M+*9bHkCMj6x;7`f09K1pLUi<`CK&wtK}~^X`=ZK3ig8iVF?iUgkw361IM zJW%c3_SGmudpl{%RvajA6YmaC(bZ+b^sR35zMVMWvf54?94!X%*o7|*0oD*~HCo2& zl7i#l%>zfzX=lXXc$Y2Pw3J3)g2%z%xV;H01T+_F-kTs&Qjf=##+7TG7FjAT$9=t?49QrlR?5*XMg@9`O00Dn#ciD`DIV> zC;6btJW6Vc@cg*Ouio?1Nly#8>@9{ywYnxc(o}fTxqZXkv<&Ab z3-4ez%>rja@KcdS5~O>qMx>;0Gd>C4{!xiv8G^=<$0AjWep zU7Amem87}e5d{#d9wPyJkT59EBSof8D7_f zC^$Vx2d@CD@k!1^;JEok^l~ge&O45vZLG241+1>e^V|+pLY}s_jzDGzWD{*M6|X12 zzQqLD?VdusF4Bm;Fx-s%=l6e)*Z&=-M zPu^<$?o)39Rv*mYeN>sS69BUYvfGyGo}d?SeYW zoQS5igO)A#*L>mL1fh|od4m&i&_WPjznB{f>2oUq+qZ(i)p%=`TiGAjXcnat>TC$z z1|`hN^{VhGt@R$YohG;}`yIODd>N{=1$eHW^@bt}SsRx;LtxwE#>W1{9c)QOo zVWbZ;pS9PI#0%noov!Zh4+bB)x8n7bfzUtH@bGoJH)JzkeBF)a0F$XwLJf&SpgX90 z_G4l=Y|KY3-){8A&(53}*;^)_h$sL5`8j;0HEGh`k`^DBBMS89$gX{LX9>76y6mR_b351p?uXB{yq* z1Z>?ASnqC%f@V(FW1RPVAcy8Fi}J-l5Pf+xxhEUxb!Is~F%5MDmoppho}v4POD-N@ zu4N6p50?kSLR_I|b6L1!*cT4z(DIB(+dz+^^Q|vDJcN$~si4y|L4cjc&x00?9tI$v z8ZqyQ`AE1hIVM{e69z^Mr>xf2%ptZf%96J~1{O0%Q|H#Bp@sR)(}2&hKp@Ft^E?m^ zO0^^F=c|$KbK2M(Rap}J=@KHA@(71rjq4?sE=Ry4u16x*0}~~-zEs@Dh|^|C zQJfq7T=uJ0@_Ho99lLgI2+a!$?>7!^sY(UTySnQ6uaSR9f%tFQ0i@^h?_B8JaN<)< zgtt4(4o=)2@R)UqoXg!4@82!Ubl>*&aEFPl2PADIKA?GP+$6Kb4Uf;W%Y7bk2cjYE zsNde)y`hkLxcc9U1Pt#wmItT4lg8n3@FT=+ zV*FDy^mu9qEl}s;akYc@IE5Tn?<^h?YWk8=!Xb!AdR z{tCH4&`Gl0wrpcOUt9CPk}kfmAn4KR%j6WK;NLF;(Xj5R{vhZq-??|PQUlKmEKicW z70W3vc;L9cuCLr*Fp~v-viq!#B3&R1pXkZgtF6%c_=uh5IOp34D1UjE?#qb@2)L z_sfZRe0R5M_)-0i1a?>T+N%>tH!Fr!Li~p^@#+D z-`BQT(VXctSryETc>-&*3OUyl>X#`@b&IX|gFt81qW{YGN#VV;dKka*WjALHM<1ogDSbe~#No#hW9Qi{3<3Wt)%DD~VBv3zn3=J@)~s{E>MYMO2;$A6HI|Yud!a zFLK6L5) z_kiyOA~ssf?tsmu&K13MFs?TK&z~R8rsCLG7!4VzVk>Ign=>3O;D3_DPfWV?yG0P+o3pCnh62g&jz@AHj zb`a2f{>=n-1Fs~A5)!buRuBtMB7`SH{-S+E}=Z@n4-H8 z49Q4sE_Poykef(}C|>Xa8w<8y)4KuSa9+~PD<>Fc!t1k$Je@(q)rj@XXEnlWJ;5W7 z5P#M=zx^^i9}99X_FMXWh=vR1KVDKyM!~!0i=(F}{a{Fzn0mK57TASa(ge|71P7e} zsXkvc@DtY?6{Gv~*5vDN251Aoud~NRrz8-}iIcd5z0lkusY%%Uo+$9Rm66?ye!t|L zts!E2<6!ap0-Mm=C@3UdZ*0AR>I<$9V_)opK!sWU@oC*K;60YVxuJ}FQ_9lbr^|%H zBM#rR=!Y@z^-mQgQ%oRy8qoP7IU5eb3XTfDPDMi_x2K24(I7|-+}>7>j{vIu8K;92 z?cigjHtW5MHgId0UfbeEBpf|cJ3(EC@O<^IPRzkLsCW~(!A2bp3|`5Gg3>`qkMmxW z46_axd^*Wianl(;)5U$87#JOa%Td=F{QUvL=dnV$hWtJqg2&$5gE58S5J%nf=M~b4 z@<||;%~gtr3;dCv@81f6%`D>RKhB{b8$|Q{EEDn(^3SXetBr&RJr>iiw>=^H@U+g8 z`bfAE_4U2+dK_T>lw6kF7T0KkL3!Ixxic2&Q^b=pxS5p;iGgi%-KiztLh06 zs!xBq*nn`Rra^y$cFhjY*Z5CVERtSE`13}y7_M5E$3iM`5IZ%RC;T`VKF3(BOHkOu z`;O#fGzgIRca!d-xqf@AY#O2f_--Mke$gug1}ge$IduHseg|K9=HX-Z_ zG;XJ;u_O_&IG8PRE-~Xugdconpp5#2SX`wByCjD*AswL-HdR*@C-{<5vQhQW6RtAu z{P_6T507&UXLGi$*HYh#fqu`HCAU3xc)s#*q!0Zt)`G_$z3eT5qVVt6Y<*}^&)F9W z-o3vDW8QdPV0q#l-R{YvWsl?fxMT{6IMVyf5hISI=8ebk$&aIC!%8a_Zr|DIAa)3W z;y^KlJhZ37xukeF;FKrY&m!gc66FVEuO(+4sXX!gsd4+uc09rZ78A3TirM{vox0qM zohk)J0#{iQ^bZn@-#?=;XAXmjl;={Xf#a{Hv$^`@bluG>Ifb8kEY=JY#E+G}1gzn&)|*=Xsu$lBB38k&>QDgF=WX zNg^63g;JF7^S!>#`TPO*{_okOr|ekE528po7^tlW^6^~AK@cL_)QSH#Dsnwp>sm)!xH>N z%-0e3utdL(zzvHNZw}qUIGG<_=+uh;oTgzPG~1lQNFJ`DNm$G84S|3s>jzB&rQzcV zv8Nk0M8K>?!RA%2Gbm_R#rwK@fxxB5Je7Td4>iatomLHwC2^VHt0xaegsX$Y;U@dT z%owl)!QJ_1oD?xm1-+9=!}G_j2UQwg$S1?^QL4e?$v$AJedy8qOzyNdABz-9A^AhcGsQ6VS*2d z`atyLy>yGeRzUC|!E^cX$wMdYLZC9IYisrjFUh|IFA_X!?rv6fr#}hI+B>5pWA`Hh z&wpI5I6}dMeF)XLH6roe(yeasfX!!YNnR%KxZG-i%@g-W2>vE;|3^c2p`2(i=pMcp zz3LhR&9m1|=ye%Z}#Kag)H(Q$l+bhPEkA~Qn zbXQ`-jc9v#{fCqPdJNXLs+ZmrUK3B&MK&zobxJO$f%NGH7yd-NSN5+iTD%ndMu7%@ z_x`H~i26!gHJD1r3D3L#<2Ryi7>g7=HnqzL5p}`q$3BPhKjS(w+p!RDJApa%6K&;c ztT(*j$*;fz@z7L7DMcxV{YO)sjZQ`;f%i@a9c8}&;Fl^BF~|33$AX);s!k<9>n-YD z9g|4dtT^Bo5t{%~u@S2h3wVz4#(ls3EHCJC*z-9E??cY;9m68N7_T4ZoLYJi1-}(c z&`sTDK0Z9me~e|ITNhE}gNFRz}3xmT{Re4%h33 z{N@{CCc_{`&*Z2-*6j<_tT;b1gnh~QH?^nphk)DW;XPVDzMyiOA#C=BI-*@(+S|h( z0g_U6{YCgb_sd9qj<{wtSl6c)@M9mEY3C$Q(?$>2`PxF=;Bh2`tc%`_?85sFX^V-X ziV=9fzxpF{sV4+@Zwq}L8v$~;df}ntkzl*~;+N;M*bf#|dJok`z_-aD^<|1^nC*x) z`Y;g<2V2!6zC_|a;ZvSMNpm+S{UQ}`3fD15Kc7Fdx+N0)z8fue>c@llPX8NSx>3-a zODkW9>+tsNc4Dn6J}_}$;Gwf>6wJheiy?aC_4O^g1_Yq zr06p--qun8Lk-qScoP8e)8~CdcZI^wb2^MA+^N8{BX--(Em3gks8hV9d@!igpFG@& zbYbG-HR6}7`k_YvhpZ-u>p`z7XhVL|Q&#DkPS-Mim2DLQ@oSnW3=dt7$`?M*{F2yU_CVsTMqa za!J!b&6hk`iq%cxc1ME4UnXizIE%)^s_V?Py%5E}e^9H%bqQlTjGUfrq6vreC;BM@Z<4`W{iyIlR1^$b`96CXmJIIu&JL*} z7Wgfn%3S!34Ou(LOY1Hgkok%Z4EMi^up*xqq{<{$K1YLVt*!{=MCV&6I^lTJ^pS1lXhv*^5-K;p*}&TxnK zw#jhtMv;c=7OcaauKfAEQW)597J6%xg@f~z>%TehUYFi7=gk#a?5`yM_SxmxK#<-g zUHE-I7)sts{_-jghrNGGcN8jVKr3x5|Nh1Vc*}k{La*5py>I()hi%b<#KAiqd<Xvnii)%(}#qz%b}>=3u)cnXihr9V4%2oZ;<-n3vSp_l|hK+FOUY z{S!QJpXWyIN$M~%FNi#O@_}RX*j6JF*TpnOe?G(a&PTnA&P?O^2m+rP1Zbe5AsG7N zoeaM!1w#|%1CP2bpu<|P>m-IYD}FkSjFFEol+uC+$Ew2_e(e6j zEtN#LW3;or=&uX1{A(GejOUz)`0o8tap`X<{_a*AdBs*50u-$3y@Q7nfZzcFZwS1- z_VObqD!|`2`BFOT_q<`V(%~gz?5pDFl$^Q4P#*2sv1dm(o_nudwba-z?+w@6C2zi| zOn{$L7alyo{-Q+w5&p1*j~L-MLFf__`gMfP39%1L>`f5!b;La^(XS)wI^myPn+ve6 z;QlTKhC}XABoF^k4|v&_7X;Je$KBtU(ZRZD(W$m27x1HxnZBrDk324a>ATz*2)s!z zFL=3{AjKmBZfW16Nn9rQs&PUhbC0P%aO!UMAKKvzt~LkS}Gt zE|~~t=0{4^{Cps6@E7fKtglG$^2Sng`=gz3o5!Pg=ac~ebY7U3IX(2o2 zAN+{mWde^M#y5psShXVgo51~;9gdqvD{)=3qmt)99`0l9=N~$(?*J6CgUM%2ec|j} zed5&#e4pr9{gv^{29kG;%=CGOt?KBXsvuQkj&kN4V>}ly_@&UzP1^b#g zQpvjLcK7ZmX0H@T)>K}6W0OMGMa%q)T~3QL9J`md`w{`bc&>CIoIWY zVsTqV5B{DG*f0QxMvM@(bqYV+ahHQ6|dT0FP+(p!M)fBp;JF@c$PFfaXytluUa z0n9nSx*mC8-Tqu(c|E>lSXzI~c>wQc^88Xu*&m$(ylwI&+pzyY)Mv$0&TOghYn3bb z3*Ij&(EX4$W|;sRT7FV%U_Y{9c4=PD*$^lT{39o<9ZK$zvmJlCVX4{WKmWdt_^nEt z8|fe_zqf8VH5H`Ts-D=-VBNNl!6|y9awuWUnSX~h_B%BB{kr_EFXGBFdd)JA_Xa1n zpT3Fb?LJz5k@$oEzS2DdX)f)}hj?w}mX7_|SpWOw;jmL!*X`5$&(t?^Kyt{w$F8LW z^o2NlBsiyR*=dF6+-~uuy+dhp2xO#%?0bE z`>j5rT&v84Y^_*vn>_rzww+f(lR60;uK53bRqF~ZH~AP>Q{-XdPtWy=k_2G1UY~U4 z!a87km{ztA`s3U{9GvoK)EmR~NKM`A^L=HWH`032xBGdmtOa?S6?G zCqkk6ZCwYqLYPXE|jw|nQO ztM<`w$F1$p{T1v({B0tY&L$Oh`YeAR3Cf2Mo0`uBDefT4DGdjUqsepcK*e99jTs;o zT)dnze-5=!6nYz8_aN&#=3&=Oe%KL?2DDl7JU`+&&QptPPhR8!ZF0q1 z!>kn8cKy*Zl~pWslnXv@!SmnNe{OxbFJDaJM_RRt$o%DO;LjIN)W`a2savK~XH_Dh ziJGI@5bJ@r)>S&080UZuujBhDm29}#%#^Ql3+u^lxitb*(ZHPlK|o@61}ylGX7|hl z!gl$e9gnN=Uf!KfGha0elriRG{%I|Y#KAy?XGa&TFpmAhyR(lu{d%->u;14IkAuq& z*6HQ`IWQY5#(45^85vjmR4v-NlQZCa#N;m?7cZ#m-(}ji6Z@ass&k8-#QHh^;+(+Q z2A@MWml(6*jgRr7i)I*^uUmxe*pthBaGnV)yl6@#->*tjoQW{*)3BaxIEEXTWL^+? zk`Q{~QSVt_64zG`tUeOsJrB#5-b&AXDIoD_>n?_8YB6|z)tmc+#ojoGoxSkU>Pa!= z3x57JrydP4AqL0Vr@& zk>7_jWw^NBNulyie$iXQV zct*eWxN>K~w6a9wK@bJgom~OuCsKf8@FLgwtaylieLv|f-cM|rVv%D#<3i@&%IHQb z54;CU_`?!DVuarWp-W8Y*AY4=#6B#sH$lwT5%;h}zmBNuc3ajT`QMx?!NbqZ@9ks| zOaVm!Y#n9t-%MTt{~w*C{$L)bwVKi}s!oPImu|9tYO;cy4UZgOVx6Gp*2D7s7|)y5m4lv~%!dz+Swp3GfARi?vlV~o zu+QN?zLxIbjuOCg#p{j~wyoGlG0v2y*kL%2m$DP@?Ke40@*u%;tqxwdhVeaD9noBJ_iMAv!6L@TOrTkEcOEAgb z1n&Rds!Y#6odQ$mxOk#Q^I&#O^Tq`>AD~w?-!)T%b;G7}|Ikwh!vVTmC&ClBN!}6p z!l-f9J_vRgNajv+W4+?4Ki$VuLLe^x8k;QcYw(4cJ$~tq^_%|HMV3DtdlLjpfo8T^ zTxX`3tc#qP#nlIk^T>LDsIRW^e{gx%aGvBhqHgG_+RLza80+i*s}DFVe;)hHnE;&y z>Z7}MWWe{u1DO}F&(!V2LxW=tMG)}zvVEjOF1&x%&*4c^jOWo3k6gxj9cA{LE@%Z6 z!6lxjm9?RHaMEjeDhbzjL7%IB{`y=1ThIQP8f?q}%M&&=*YG_bvzlnDC)Vfsn!FVK zj5!13`yzHJ;`xf!H_tD|b!NlNkqM{x_6)o?9O_syl7W4151I;LUy_H;*JZo0j$FNy zY6ZigWQbBry}MTB2c@qmrU1_?5ITKXyEIjnciR2u-!EBAjZ)Cb0HX{S*?Tx1m`f%< z@5gzT)bL})uhRxS{yun6D#;O~^pBiURf<4g=Web0<9gO2%GrJNX%XHpc=u;xeLf(A zcoFS6yjNI!FJN~`0o>j5j-ljb5uCXtP~Od|_~+2cwf$)(x;ZFn&lB=6&R`n?F|6JGoZ{(TK=BA^j6zv%Q4 z&*5gvvnr3I0Jf|)t$pYUUnA2#tX(*Wh_iXKw|5x38UighgDd#{iZuiGVzB0#@(FjTB59MsC@X5#vDfvzARZVu~q z539{Q{5H;orqkREEfhjw?C+D=N2$p`E99g0B`68HySx4z|8f>04?Y+WE=>e;HLkFv z$1xBo_jIDEIty&K-%O+0pp4E)yS&)8)f0%*M$O~HN^}fV#)L3e4~L;YVYlvH9*809 zyH8xSB0Rk@NWzY}uD2!z97{*{MJhFXVB)@cd_@Jw$1vEe=i5V>ogUSDO1EXM1o^ygxECqJ z*)rg(4RT@d{~w>4sF^t=qq^4{Ic~hba|#uc4Ov)U^hQrK?}NHjct!uBRKht7tiujZ zZYhleU0HjzPVIaWKN1HhcHJM(hl{&>l`dS(hn8v`Gf{Tz+p=C_lY!^U-aQwXTwB37 zB{lM)I5HEQ(tRV0aDVl^YtiECmH_NCG3m>znhDfX5hK!Z>gZ?M$<_OG*--XC^IXQ| zFvL!uSm4U0OyZ!i#FCcopZ~+VxyizTZSj3ztdUrxKff^H<6R_YeN%1(7Ev%1usrJ+>sSbDZ0qdxSR^ z3?-lZro3K2;*(ts&G7>(k#Nt8;Rfx~FnIA=c*6H~5e(2Rgcsb7gv;Nx?Z+R+g7Ph@ zz}Y(d9r`bSY@X+R_+IM|jTS%MzhA-M3t9T9AusU0SoOR}ehVME7TenO;Q-d(+bHg2(Xjh&y|dT10-)t~oV>0WMCPBTy}SOeiUe@dM0a=VC6Yev zgr6tj`$YHy5d1{woDjMc#NGsf8^k;mac@S{bp#JvV)^*{#U&^4p)TjLl z_E|#y8H(698=_DTrw>(aFZSy>owli{&>wL&{jdbgzXUE5e6?$@TK7(qP>6feH>MyH z0tZJQm=Ej!I8@yH@ff~!JES)*)e$jyknDKmMyN!2)-V58!4&AbG8|= z*3`eNl40)YiBY|A?0fZ(pW;GIDivR)A-?kcdbYsBzSIgrub}Vb}Y1I>dSw<=|l1_!HWdX*6r?_i$7d|_0+o5uIoo2 z0?*G~37)0OD+XJgq3#D<7;Pv5%33 z&(}jfd9XJ_H>Y0|&)<&ItkztQg2$_wn?~_|&QI;F*@@Q=ki1j-HFW-=Pz(&3HuzUO z!#sam4sIWfg|Zj+2l!br-!?$Eb!9$T7u`+dY+n6=ebkm3vg=KY$hyc%N1W0c@5vDL z08w9=>kXPcr!6G;ji?)XM+)t8wPF!bA57hTRYH&FxJx@z_sGb`!KlH&z4tHhd-)en zGp$;0xV|QW!u-<9yPuO`%z86hk-RwsZTI^{OH}|3v{$7Ef8@eBPetFq(`j&5%=4Ww z?$5{-9dTAY>k4g0pCq0g^93n~gh|sB?BlURmN{-F8o=vZ(IE;vzo+oHG%_F(s7{pg zFXzQV6jfX~KfV{#eRWB*yDJiMJJQz|@SM8U>XR-z+&2{Mu8qIS5e9r`?i$c?MFOGw z_^I|-6Kks5fByXhbT4+BbrKY|yG4fnN(A5gj7eAVy}s*?(*tHF)j;YXVqE>?2`%bx zB)SCcP~k-00r|{yC}PNuZ4}A^A2S1aE3ALPR9NhDYA6dH8;m~UPf3Kp(D!l$YKhQv z)4Ia%y@_q3S+*5U0P-lw>7KBG})b+^pH03IYNW zcgpd;{n?d1SzoNHv71M?zo{<;L>E0|KZJTfizKB)`&A~C)_ia&6zimY(2L#{iTy*Q zIc{s@U_FW7t0i4x0@yEV*RJ67CwQJ{sBliDJr}A>gsv@NeU$H1dk@6Mhn$Bj%s;+rIXN@Qb4%@qJvIu@1w!gZ6NMDegPm@kwC7`?-J8 znU+ei4y%>%Tcr=UZ{KgjCgDR>2%$k=g-S!P-oy8XtvU>0P8=@BtkJ#^gyo+^N#T|2H*N@=6QvR1W6A$OX^wndnioXltv#Y%+OO`a; zRQguN5@iN+m%od=!}mW#zCOqWbluE}d|rc&?Y9))ke6kWJ443UKQM^O{ zxev2=&wRtRNuI1M;6L>GXb#pRh@-ClvyU3<23EE|)MJc;=e&Pw=Gcl!{P^48796)f z1(s|wPQ3HG05eM0j>q2gfuQNv;@5K{Ah9pxy43MewhAMUNqJL{P%tbEv?&m z|EC+on&=sXb#sZlAoAoC_YaNklYu0ze=KLQ7`}4>eCHKv+1c|*e9D?y9OO8jkM|gu z{Vc>1pkF^2y51Lp=}Ydz6grXMS#YgeZx-tmU&?xtZS6_sk6HTRsdOJZpwTbs>Gg18qyJV4+LfwwMC z4yHc176E6})}Fn%oCLRCw?%J;Oek10f3fGK2drw`Sv(?=4o^bj?CQ_O!x5DaNcAGt zf%7(DD;m%u^X~}dWXHNg7@Tw&dZ^Xo2PcOna=i5OfbfSUe8dR934)&p{W?PDgxH5A zaD$kyBko~|ejUNX8vJ8?R>EnpW#(^Mb$|%!Q4=0a#(iNdcyK@|SP&L(Wj5=NC&C`a zGWsuJHgF?(>ddj7c_c0qe6@B>+B@-CCZvA&wP&N30ZOfyxh0a33Ah7HNT1TPXi`_+lNsH?gdIBqSlu$Neocs|Y{PaRv619nO29!dgO51}fUvOg$- z3Kpnz)#FK|M;80{lN{I)^dZfAXV-f@3Scv9&ahxz0|7;+m|`7WV9uMlW7v3l1n<=nby2~%f7Abbx`=v!sIR!&<_^7-JWui)Q8&c7K3sdO zZi|Tepw|ECiXsy``cSbW;<3y&w4_hX-4QE+i0=eSM@c5?NeMI{`OSRtxGee^#Gd&x zUl>85QRRY(4D!opxw1!F5>Y9P98@e6M`QQ;Gv7JMqJCTE4~cvtXsl=-Pvu1s6tMWr z*vLi%eciR{YIvO;ZU>jj>K>(oXZO|EZ~M{XIdVPwgil+c?9HEGO+6mSTdsfA8O4iz z7MCk*zSBWV-}6`FBg}B1ro?H(H&*mOZ|L})OWcUi^PW|=(W%G({$GFJEB!C~1eZ8? zR{ymUyeYiM;C_I3$6fQD44*?W_&>JDejAP%pg_#c0qQD4{a+@S!ZFCKni%+Xo_7DU278P9--L-7hiDOer6FuSA~3g zUf&afM*Zq$&o=@veOfqaXB!W`&pN$nPXRM1F9r6RjEjTp_OZ1c&kusz1N-s$jkKWh z=g3Z-%XA} z(qP~aM8sZOH=krxwANgEtgiiI)!l5U{M74qMT-MSWlr|zb8T_tcCSm2QjHm2b~HR0 z2oylO@;06myDN!ID`usA1{q*`L@ZbNGA|0;Pt7*Wc?ii`wQ_EslR#H(BrP5u-30yL z{Jc3t42YOd}gWCOq!h9 zk5Xjg#CU18g565}74%XXUG(+TJ(4eqDA&ZdwoOSR?TvJ_DI(lx+H@`4jq3np7JhPM zDdr;cRV~bo>&iAR@_Bze_i^o?6h`Ln)8F?<3WILUx32q_`Cygr#lzrWQN*FW#qX|$ z40`!g(5fL$1igQK^T{X5P4J`bu}t|^Q53oL@5iPyvWUQs_Zl{)i{nS2T}+U1v{4ql z4oXV8Jk1C$R@Ra7z9Q(y@hP#19AR{(J2|>9{|Jiube5W>LkcFvzj3D5ZvlSr3NZ5# zLANpnHyXQfq2lmb=}InPct1dYsjZe5bGrB8CN_Fy;|4GMA7SW@BB{F@}hHs#(RR?>7kgvEW@jmfsAtk zXXUS$Z%VHe1`|DTrDI1$5RtDB?#W-crZ0jX#Bo*+HHaeO{c_pf^SwFC2fsLfzKcv{ zCG&#F6N(#u)H^x2NnEFl5LP=~EQgGF4xdmqk|pse*Vf%~&_@(SmGZabW^aLlw7MYf zcd{t3H{6_Z6BoJ@+ZYei!l=w6hjs&{EF$uUL920UXRS13R2sR}@X^Du0QR=78X06a zAn|NYcB0*j+ws@#OCo5`t;sAbtidIJX;q3ESzIiP%MAt~8*doe{vP_rPk7$Y@hTy^tPt$wb zS3XRS1w9iXahc$&Ia(`+k~tA%XSg?b?yxj49?od*$`?ZqHBap}_Y?-kpx@P%W5VD( z;VpOCo)3$bKRJAV*K=W-55?2E z-*f&Z4KFU1DZk?tLB~a`7SqH;5rM-59}@LJo8De|i(qLWc#z<^v^O?Ak%1yem_l#t zejg7a_?O^Cf@dkCSXkvLsXdzm0+QaGPKP8QvXaFqNsBLGM4ubdbgF$$Ew<+e zqCOZ-(b~Qb`vz_t^L!(SeYAqobAM>g#sbm*9lc|6TNwAPKmMMgkBz|l4F&!${d^

5l5M_z@%zQ=W`+`SNdhNE9(V&5zQg^p}x=`?sRSNOGSvlqI%+L`z5kv)t)Y1p1< z?hLzX40o+w2?3_CP%ci^Sm^R}PP;1V3_VoOsN~GT;Z>|^z@g|!*z@Yc72yaMxc@{* zbn~xBIAe2iBu6p~*nQM^rp`n|xv|NXZ`dE6@M)1uj@;vD;q#w=pPDzdF%s+cJhmLt zRGz`}#-A10@4b!(jjODjV`puEIg{Uoe!n-&?Pc&Yn%)GPHdbj{Go?Vw`K~{o-eA4n zTQ9_4G`qu1Nw;+-%Pd&o3ZK?Lj`c294qtqj?gRC%xyxVQM#J_?G{KbvW$@hd)A2L0 z@xW44Vd98&>nnInzJ!-k?_dpM1Fa{LwwSrF?LWG`8Y@5CnSC9SknrA#mT6 z$JD6J2Rwrd^Dg#ao!uzqdsKIFAjh4bs)X%4DDey(3JuNz{Ve__D(Q4^^eg@7Fo^pC zX>7EGlF_hKaZ}$+HWXA$IxetXiHD7&6{AnX)4|R4^fo*DB$zv9W5imU1`Ez_I7^pv zfa-{e^%Z;%TDU#g=afe(Y%VO=mYo&>KKEjphO_Z}>;1rMl|8s0HvHp))2a{L+4uW? z+8Xxb%E@#q7RK`c#y@LPS@B$=oFTn%oCv&AXiw=$Nh8n3_qSTbAEm+tp+^oI@8ptt z1-Vt<84Ys0ASC!Z#p0KIcw2Ox($_8*a_c|jmeCZ#@I+37+^H0ZI%KQy_CX#b)$PgV z-*o}@703+b7-d41F!S_WL^fy*uB-}Pya1faR0G127vTYw)?H?bVpwaOvOW3y0xVQG zvE=taClMAYNDh4(H{pjr^gE5mOI5otMxRf z%=`H%hvovDmyDLbo>T@ec5~j@ce@l0O-??Pij{%+1}|9`R!=xyH`7#?_ka0ny43Hr zeNCHuUZ1PKm{U@U;l7YmTM>OW`1HM6OA_>kM!LSZ9ZMyUsU@Bro1Fy(a-W4RF5`%LK?O*Txm&UCz1!n%v>0mhwpUbL8!-=YcMX9T9KR7Z^DK>crT z&XZMnz%6|eWre1|@`+Nx4Q~rb92AL;^b&pRjR?HETB=w0>QFuqanLAN=&LS*^~U0I zy=s%I$heC0@Yi)KaGD;+W~h&<8OEO!0T z5JlqpH$J(Qu+3HA_VOFMi+llzPy4?#M%5}+08NAvJUy8KNA`_RRqrST`R~W{IhLcL zpn9D;I34SHk3}%7D8(Qme-31BnQ}OL5-7TJW=d{`!xDW{r;tn;d@8p2^O*Gr5^GAK zAN9@yGp@G6?RZ}3uDLZ3wq?nBF zwVkUQi!hEDNFPnnypa!|Onx4Ga5oGH9w6|Bz}sGz#a|n343YBc-AiKob0Ok_AOHAn35jrQtJ}j{}LCn_? zJWTZKh`KJZyK6u?ssh4hUNXkueeV^~c(J2f(&1f?x+p_=1lCE>RM4#`A#s`DE4%V) z8H>2{fW|Ku)ux7^@(<_Ty7!jC?Ja3kb$?=k!}BV=Hr73jc=amX5c7FJjQfc_*`*|3 z8{E&`(lSvD`Y$>YeepeaM(M}>A!+3#KdCc`@7!dT0zbcsx}=JGV_hR3wcB5@KKYln zKdT%mBn}gNNYn>eR{En1C$J9MKOQ7_?od_4&2sE7pU+@4^l}i-@&Dsrf)@#%4VU%> zHj{F2!SgBws&mO$=T~;Su`<3VBY2s>L_Lpq&Iq??T$Za4Ky>M=7e@#DxOPPI`pnn^M)wNJA5WI zLGsw&>SLY3YWP(Kz1op6pokyA_Z~);rssh z=hTK!+AeSZxkwzP1vdH|!5hb00@mvj_xhsR817i16Cp^R_nGT*UIe=4+IB@=I{?*) zJlN*k6oxqc&bQDUj6}}V=O=tn+THoXZH6A`n$v80<26(C z#&^Qv^0X}y{r0g@E!iCXdFAv;=c*Z+�b`msf(FhQCzlO>A(7QJm|_fGd)sDzEfZ z@J6N!lDZLCcU_K_VR1ds9d)?=?i6-DhOD~XpNO)lBgc(wJimSH5z}bksq8=MsBizn zz=UH?NPU|A$_)+)`0Vx0j{1iw+)WLC^lCs7B=1&(S+o!ORNePc>_;SuIX}MN`lB~; zj^Ca3)z%liHhQSx5O0bcgZy1YcRB)b()*wP+4sZ+`{4nV3$FVK9jZ?>!J3Ep+(E{j z>F|e}hR}R&b*tni3*`4$i1+jrJ5<~8_r&959#pyWqHl>WjTcwqM|G{(dE${p%z8IlpT2aKF zCW?^$F71bEgu5>YZX64!dr_bV29HHp{cHSCk%0uaX^<15pL`(oWmOu)ZqIzU z#B78(&ny2*xpt1kkGBm!KO}dCBBtJzzRVz9BreF;x#gD&it=Qzq`>&|&^k^3sl6Ra z6(4cUy=RLA9gl5w_18y@uOgGZ&YlL#M@l@8cYC6m&u*Iz>3cw%@rJaoY%XYFIBwUs z8v#I(^@u&Y%>xJ=+{k<46@O$jiFa$UvuhT*WUS(c|qh!*vF!rV|uDU;QIa!mV(y0 zQ=rclA(YPKP2$ts{t4wwDmP%;aF1>`J?=yHBdN#D9?0SI7XK_TLk689R<9Hd5c3S< zsxWd4}n9WR;sWQ7iGU)pO%ZHiKhl}yIf@%wYh?~STsghqAqAE%KDTo%?8uAA{j z7P*oUbaP&iU1cXWBWnV)wO6AQ%5?KxdFg z=tY%dpmLXY#vwulMW;UBC)(|glFxI}+^exdME)sWLKNn5Ug)ywa99e~U4HEIRk+W@ z3&r@~NOYb!0MvCnkG~ubLniL2wZ#Tbh~Ou}M~v{BAascd+#qyLh<#XMZ-U@q;vSah z*AaDH+6%^jnq*&?^-o+~I3|VkFMhEd33CNGt;@^_0a_$36MS`|$=^Pa+8$V-&^)%? z9sQY=o+%7-f}0y6hFHde(Bi{_i4&nt=+ETlvh6;nz_{$ad5y3o5PbdRVQ2g3*i!p& z0fWjhS8t^GwD)+Ar7RHqB>2XwzUN95a89qCWl;7(uQ>O;y4!RX&G=YsVc!cR4ikJx z)CY39kA3MD4M-j&crGr+o-Lq&6}|hS%s;W&gXCX=7YUwyabby;LeT+52i$8)Cy zo-a4r+lajhLZ!yF*1rX9kzuv6^Tdod5WGy_@wm+3vz?{ZK=3z#`-TghFACGW(R}R~ z=ytc~^OIBabZ-SmU}P`Zb8Gi`weGFYOg~AmtvMx$?-?l829!k~& zM12*v(INhovK`59MBU*2ELS43!wZP|KqK3&qg^r<+{AyyH7!KLzH%;!Pn#2fnAdb{ zGX3dB9S^(d_?EBkN`!>fplh`D79gyed%3(U7hVc}3Y(VBhU~tLGQS;?p-Fq_Q}Veq z5Mu7!YQpFSL2rCr`-FXfrG-|XDk}`+-psDO-ii0CSLYbp*ki$a|3yo&#W0BKqc(oG zg8%>dcdpNJVgK^=(=NxKV4Ypg;GMd79w;U`*y1_X;W4QNt6{+0+`cgvlm3F!GV{`nso0xp<=&6 z#;G-1Bq3#ZrWWt@rH@iZTPI|I_AjNB_|Pcu3p~k5Q;-2SVX&GqHV$q-p=tPF6%UT1 z3!jA=l3?$h*SaR-1#te##V@qcLP+DrL-7K>O!%C3&n|;03-1G7GgTJDbBr(dT*-f# z3r7>WQvc%pN!eE~ch1CT!{0 zaQn4QL)mZ=#93bs2#!et3cKrL%nY$$>RI?SCp-%@#4py+N+@=(S?~7vTWSQ32Tu(AeA`e~uy>65XIb zb8iwj2j{X}#dCMnG%uM>V;=@p!^rp7Hb%o`7l*L zoyt6{`^kAN@XO-1cqr){_$Y+;BKCTeeg7~O1mRY@6BM6EgZlNr>*|v3kQ(Z9^NW)S zBv*^LJw(`l_Q&``ZU(HUrr!Fzmp&021XeI6N`L_kGCeDr>yG*C*`4U#m@ z1}T$@0S`QfQE}ho&R@KDyH&DF;PQ?n;H3FtbIUIo%=Tn7ed@{qokIsz2W0(#O*^!F z+Ao$orPqygb@4o)dnxBwd6_nZS5ThSGm|9iyX5+{zu)gYJ06gl8)=1gi1sM&Qu*QQ zPsXQJ^O=}J^+5Qtv&%x$8}F->Rdk83=Yi3pIZLZR7R<>D*ZstP4AZ8Y*6-|7vzb5o>tY7T{;Us@JA(WDB|eA(&toRY-`id8hvzQO-nxCtB%j0&*98q7QO!h< zxp~OY823AqN3UkvH2T1b%}_?c<}lnpXlQbOlL6oES8k>GgZ19ts%G8yi3k6o)xtxr z(a?Q>#+Vwx;!Jy!BI$XbA_kcBCejBoY?jos>a&;KsN&eI~-5`l7hp=>xA>uvwz0RnFbyk#nm z4Xb_`4l0kg9u>^My8K$rEwxjrAmV)0KXjJ^wA5YvWcxb_WR*k%!tmViptR=2%uVSq z6=HTEXjY%hKTEI5v_-62AEkDc*E}f7`xS()&v)_BpfJwW1Oa1ttMC zj;e(uKN0@0gpU~EH$mtU6Z&<8&Iz#(OYkr;Uq{@-68$=&uB+d1{@Y)+1b7mxR;6*# z49}1LJ#9jpP2w`aSI6|iEiHLd;Zn!x-!}e+s4x4b;d4AsyFJc0pS~39b1li-UaH6j z#_o!?; z$0w}|o?7Wfko-;H{=)zvujQ&}c&PH+g^nT%Ha=$iw4wq~wC!@PqH!D`FUO_p;~~Ib z?b%os$4T;zaaz6%Vs`=|U8=vGGkI{f-%#)H8wW5GeVuG}AqW;eN|eNVq>**e{NU1% z?A~HH`6N0dM>&tIi_TU!87%EjBkKX8zB<=yH7Zq6K=K<=H`v^H#^|}#0TFe9?Ws*c zMZMV1BY56%B-9A0b}oF;So6ko8 z?u?$lZ*)Qx-h5)a(ObulV%Ea1brf48%j8K;=W%buf3K1&ZqyXbnhTmof56|hF-MO( z+ghUY!yf{AGL6t@23?B;OLr8JRYu9sV1lT!iaEH1t&pb9>2DcFT+n-S$peCVsz^e< zMYP{q8x=@SPAVMNf!&ljU!Eshf_h1Vx@V6%3|5++dl91q|MmA@e2CSYxN3-YNpXp> z`Dr1hytezMPb|?bYv~8xTMS`SCu?Nnel7Uv`Q3(9(GnIy-sdJz7^B)E>I;AGoI^45 z&Mg{Syb(h|Slo#%M(8ka$=S^>JkXSOV7Oem4`OtQP1k?mjON!KU44%A4_}?6(2le9 zhn^qOo<3EU=#86UxtX6M$`vxuQMl=WmZfgSemc#Keg|D*J6vjsq8{wy%U`lYR%Syv z=SugHr{BGnYv1twH*p3OSY`-_Yr{)k?XL-HXJF5l-7Fg2r%;TCkybO~8N{WW^MYfK z2q^qM{HygI)*z%_uOEw(L6;?NML*Oq28}|A7DrE2s84y}F>zWSR-<=tSTvj5tJR?cuPub@K*2! zqIhojtL~1BycAV%=i9e7o{DwAe@JXE?C}Mmk9P+?I(fsk_cwgq;+#S4o0Lg!doV%Sn5~9+z~=&!S#n@W8gYX+$6K&dMIf>w-vc z=zU1n@Hxo5M*I6?y)2CTC^Asqumu7?tZm{ISaE-eBB_1SLBI=Ew6)ke{vT=I{nzvR z{Vx>_L__ouGSWoD2n~r6(f9h^J|2(P zAMoy%>*kkdo;}XF-_PS*=iKjOW>_z|Zg^X}0~(XFnX6RNfffeQPr|np;r=ZV^IwP0 z13wF6SVo}*JTa5Fto2?KHOsP>Q6juxaGrx9vP=m2J`dNv#rI9(?8~Olyu5+H!M^aN zpc?xi67N2@8&o&XhyxJ^z;q7wACp0&l%=V{6c-@kN?=swkK79OsThe}+#qWQ*T1@J z?-tcXHQ8rVcr^}_aZcdu^IGorB67ITbu90RSCkT&uS0_RFMf{Mpi;ZNEZcSjkk9vf zbq2Ses09pHN*k|YA8;Zsh&+KLg=(5UV<2#y-qM50?Y0*T+lOEHmbQh&CuN5xk~#DN z;FOcH{Og(}I6lvEE*TB-Xea#)9;cK59v_XFG!+vQD{%|y*1pqwhqJ?

@()AvJfXd6aYLhk!dGc!0ng z0&nBj8II4`_#?BxnX|Xn+ry5lP0nI#=RhSfSt{wXJut1v(5>yW1?FlLG!w52+;WBq znhIv=so$UmmW(_>A?ERn`!BXxM941>FQ5iTTtq{A6G){ zj^=+t7ekZ<$xjWl;-dFlElGb^!bgnon;>+F3H>@k=Y-&4VsC<&uOseZiGCeX*9A?5 zn`_;2hpteip)qMY5|;_SlCa3W+netJ)U-1~pCjForn-^j9cvE=b-Nu{=H-ZD*^REL zc4?_kGjFH37%Wl^7ryh3WM2M@V{=wK?BbEiBIba}M9~OBe@SK2o9oL&?QLIx{_~^C(_P5%+&B4Tu8vB86eO~V+jdfHC4IQc?6X1H@ zzSo%z$?!yoQ#bN(5*T|(@$dDChD|{mWRBj7gDYHt`K{8}chCEb>f?9b|MTbT<)^kE zx}5=|Q-PsICo^C`t75}XkxVf3a%^F0SH}CT4K?na*msQX)!nNvJrVWpSEpL{=fEe4 zxaH=heC+#8H9DD^3Z)MiwWZYxA>yXQjW4trz`ESrVHS_yi?^lS66?-_D2q0yb19dg zIo0gCTE8OrG#JE+ZY=~sL;4LuSpOt!7*;H~^T93B!}4`z87$ij)6Anns9*dQoxQCD z)~Bu5G!>ctbCf{e+$LrszZg$4t2nz)!JxZqDQnGMAw2$@f&IFL}dDjwsKOMY7 zzOyWC$%6b>=AjMP4=i+_;J(?Czb&G979k2P*-*)3)jXJ148y;hscJK_!M9QBXZX%+ z&}g<*)WmzQwlXSO?BON2KG5y2|6B&EcDaoAc=F+q@o%a$p)5F{%~vkSkph(8v<)`B zsUT$IXMHLe_b=7>T$Q79LH$Uu{zj*KaL-y3Pr6?M%v3bWbIjS`c$`lD^@&vQ+Hyuy z8tWm_zxd6joSX_x?e7b%;!@$Aq~=pikqkI7%YDNR&pCa;SE{K^N#NmC?G$^I0{#Z;JD$(#&=jr=O@N-TFT5)q7oke{dbJ7G!z0e#i<1`uasN3>_GCvX zGlld6Qa>=fT;ijL-k)L7k=d3F^<2O6F za=@H%bvgw1brr5OysZw*1wkW&gjcNP;3K*J&WVTEugR(B$5p&{N}Tr%sKoZR<-^;* zJ$14l4?&PmmnhxffBUn&Nrw)%oKk?AV6{U|xW9a4s7O3z7uGfV7oYxjeS2Rd;`jUX zgMG_dnc%-weUp!GIk<KXAPjky?3_Gnyot}leE54<^cuzR3sA$glvh9YoX?c~b#E`S5? z?{jU&Iwh~8dv~;aPXk?F1?x?C4)03EI;P?W6(oLi&3(_lkNw-lT(^E2|4{`cUuPz2 zu%608Pp-caW7r4t{-gH??-T&f9qkK;D{_H}c|d>ib{3>W{HXGfNda_KNJ8a!23Wm% zuIAdUQZq=!Xe7+|QiocxqO#q=kbB!J7C)4~;atS(ZFuI@Uq3m8W<&IsD$^)kAyn5pKXcH|87Zr^H->Y0zzEN*sgwUDIBxwwa#Y0=sZ%8H z?ddHfkNjeazjBG>r@j&ePCD$D z$InHlp|~rP^oJ#U#0b9$LYJ7(uOoPv*oP(dCW!eu;vSah*AaCc2aS1BP=5)D%LHG= z-_sK-eU%ICTIH8{n9Y%9x=l8fR35yTzfD8KkqvRl&t%Q<9IxM2SB;JKsqpRY-1VTO zLXxi+GwM8KM2kQ_JFL^^MgokE?K|w+{vSU{f>YVLP%ZSTaj|_p*2AizldSnAoeJ+~ zEz{S&C6PEx@F7tjY`$rwKJBhc@*u%;(Rp3l+3K^v?!dZRwuM$C{}Q}N@a(#y3Z1^{ zmq49GgV%RP1s6l%vwqze4vbsMHbLrGFNxq~0*_CvF_o$0Cz1S3;QobC ze-#rvm$yI7ySkRO1hUyT$ggWKh1G-oH1~rBc_&J&?@4B+t_GSLQEp%El#z8& zMt8rH%kvzv9w6$gjKNcm98Q-=ek1AznHxOD9j0E`cJ2S_gZW3H7BqM-VB)L3j(J!D zly7_eM3?J7-JGQ@rRDS*Snv1S$$<&1oA$k8f_>gXKC!qsCS5UG)x?bKh11`{hI_1wi!;wz_S|pD*@c$ zF#2RVPzG_yNtAP8@tr8XnA5$SDKjp`8aT>IwP!?{mgG`!21FfY)wfj9KMfAj3emZ#mx7RK{Jc`yDQI2Vm~i-a7F?Vw>a!}# z0%j?{Thf0r;E_t9{)1S|FKll0yIitikHYJ_%c{AsnijTuX;VCT-jKehoQj-*IQiE< zkx*PnhP3CVk;Z${!9svzCEY0sD*SFM&mK*Jm!=mkSVgA6)t3PeU*Or)K@G>B%x(OL zcH;H&6z0*FtURJlJ99y|v+>E5SgZq^Q|uVHg96s;vgHaE6G0|XW7{0cgO6NI=Pt(< z!IMoozfWdm!B`8|^#==Su%bQYqXV%plNWA%?`0eu4Ec1KJ0b#vH#$xGWM{y`-)G|k z8Zx0~Lyzy-8E@z^)}xobzk@9x0qzcTtyGI9!0A7x zx8^RVg0getyK4#*P@wH`FI^u8v_^4}oR3qWF`e#eBYze!s!N>9j0^{ds7nt*@%`G- z(OY-S+ydao_8l$xrWO!%|C!lksWjM}Eu?>EBnlEG%Ot(z)1ddX-|OiR{Cw6%0>5{} z;CW7-av44ou;bnK`c+^!c@9`C1o2)D1%>cequm2o&;OtQ?)dk7!Tw!3XkC8x?A*O{ zF!$uPQZ3GeH+pSP`TTR?rC}%E-WLhrVY&D8ovt)^^Fko)*>oZFv6wL0^{0cOr#n3d z)=#NEw)XmL7uJ`4e9Xzar~qn9=?6+`a^R!D($ms({C8Svw-&&D2$lz4to*)+_dASI z_Hox2LwjW&2!6$Fvs^X=P#Vvty>QL9vw_cD!y<_ULZ$Z!EKx)W>Ed}pWK*ya9(Rl3p_C&S) zZDb0GgMtZ~$v2Y&NW3fC-f}UJGZ%$iIe&s7TT zc2BL!A)oKhqm)5UvpATVkNp&?7E0y?ktYwrW{&^C{*VN&vllO%Hd!kJR;uZjnj7*- zd@{SDO1GmaA81AP8`R&xx=#DV?=|}sLw5b5+eBv+1U;)PxsCCgXUFE@5gs=(e>haC zMZIGjAxmI*T@Z65EEYbz-eOh)7uPRJK8h4Vk(%X=e0S2p=HrS-tGzthxakNd7o#I8 z=XVsgHFN=0v-m*GkW#GgDNA*V$qgN~Jmf2yokPaAv4L&rR<$f(&&@foF)tmmxHMc3 zw5F0gK;R95x7)+`ibf7c0I!anpMrQQIBcAi%+=2XQL4%KT`yhWNy^c>_fhG1F3&oK z|3U)fImL~JYiGj3;;EwE^$KMEWnS|s4Za=)7uyE+ts4u59&a!Ht?K#USK(PLpNH`} zdf@#kZ5pH+ZDOUx^Zo=sy|>&&mur&}Q-IwkwWVs9K2G3JCraSVyW1RoOhf&E(Y&rgxsBo7ii7t-#~ zYR8Zc{Vtafx04CUzXUH5JUgo}w8@XV6ciSH&|%!Ox6-<8I8n}WIOzO3(9 ze{~PT<7QR-ETg=g{nv|#ki2tjRhX{O(FP7KXm({P6@x~_i2qL^UvQec%xt|W5`L-* zX{It{l64Vx^2d%n#^q2|IMZ)-vyiNd4oJ&hi9AOk>j9#^s%lc8*)CQ}@*7b%Xfd8T z&G6F|5%s~+klrobpAKkq)27X0yFHNEuNsrAHD5&NAwDok8BC+`N38L^J4@F>kfgix zS(^wilv39^s%#sIgu3U~&fE(?19vm%248uhz~Y8a@~*)sbVFaw`tR;&yT{$z2D@z0 z?x#)-PBmVr`!Vgx0G>DOX*E!7xZ#alvP`c92m2zLP5z1RhCI>hkfR)YXFQPAfhnG5 zVNZ17&*_6(you8o_Vr$$vp@`Gezkx57L9t{M_~xALUT=)h?=~-z@}j z1;(;JDaQX^^WeC8#|`%KAP;jDyjL-0gr#4?u9G4jic^%WoPniEfJSeb1($ryrDc*7oKO2*ozwsXKuM7^{BC{6^)LFqI1Qs z3(tohfi2?H3?4{}(cdI$&;nJf^o=yT9YLQS)Y)b`x}cMHzmHQE{LpT`=(4$4N3?J7 zInBdx7u0{C(=dHfA8i;g9HW%Gp)TG-0e@IGW-;Q8rZPptHebCmb{SVlfT~IgE-eVu9jL^qA zpD>+DTQm~qbMaZNE293~a%KTMuo*$oMT+oB6JqA(ouZ+>*ljGU5 zcwZxSHEbwyCIksSb-!}J$p`Jw6+BSr?SXg(mk-tJYauDI<73`UCxAG^E?VZ_E>(nk zd@T>^1+)?2-z^!}_Y8fs2EjJ9%R}o-P}`aD{8NhVsIBl=wt1=#`g;3z26yvC^!e`c z{<%04RHihsl%eH^I_cIGvA=dhFPWCcul`biYtm6q>MmVGM(0?4KW}qEWin!HlCNCR zE&5lpdV9FQCMt$`eZ2$vE}|oF?ijw$Kd|apQRj`WHSLggk3Rtudg?)2#3c}MPPc84 zxLjg}UccMAoVvvkZb==$_?W)u~Uzj&Ow4^g~^s6$*EvIEo#&CgYPgqUi7H zd26um^dG*q#|_0^`W@aG7l3Mg9eEm-oKdCF-Yt(K1JK*isJLZY>*zRO+ zM8tu!vqd$-Al~b!xy`=N8bZd^cqJ|Sfnn@#XypidzAd%n9=0rzO>st+DO>kW;5{fJ z&Iz3T{i#;7+anM;tc0gl_5GKx3$*t(4e(kbrk2s~`4fiZ^QHCQ5dKTq2(>P2)ZFZH zBlCjDlhKz0i#v4`NnG#RxQ*|?D<2fME=-iRBbdY|wzD5ypYfR^uAS6e?^!OQlQ(<+ z*0F}7o9g(QX9zSJ)3Ud1YUP%c? z`ML{riF=l0S-(|{8XmxNKR2$8HM!U$wrkrHo-x{k`mMjmxgF#{(0!VrL&g=ozQwm~ zoZlLFie;teZrc49-+c1x<<)#pw8**j2aR-)SwZ}!GZ_iBk-G-%T6v>2TG(~Za{NdzV(r)~oh7S9 z=HIIm+Rd7ruBf>As#f%CM`WEs%{}22jM!S{{;-6P7~wZT@GzlYN9vsX({CX5CW!eu;vSah z*Aci(@KwVF6O+4^hG^rN$XqoJJyi6}_)7%u1(fl^B4B5F0J4irrfsM4L9(}HPXm() zdN$*(!g9}=Zss*}PbdnhdnLwx-4*pGZa(2JqXz^p6L`#cRUnry zSb^kk0{2xGId0v(b6?!Z3P3*eRZZ1?cF4{eQaaUa(F^R4;lAf6Iw(9_ne9YN z@=l7xdG3rj97mDaQ@n$rXh1YF?4pVj+Rdzz)7@i%K6doANIM3SbB?B@RD zZrU86k{$cDjQ8jD>vVjMqg0qyuec}LD+NKhes#0K?$ELpctvH*4;rfUljw|ae?e&E zrQL-Xn4HgZy&@R^!+yoo$*@2;)FqNCdp!dBuV-bQ-HCPD z?G@Z+6~n;m`^>&y6OnLTWS!R+o@n4bd@rCg)9ru${Q8r@S$Zr9P|viPEw2!tcJu6P zaoATOeDhkSvjM!xxv1xN&I5=%5xf)Qe`P)yobuXjv+%xj`}FLu&Go@BpW^kzX*C@R z>Gxefdo2o{aX0x|_D8_N?3BO8FWk?awzaE~DF#MwZP6+gZ>X04uxj9#4s9oHF4n1~ z!I!I-_v)1=gP5YZ3^qxPD9z&Z+<|W zTDs9+gHI*`TlIUMyZFBN=1aEU6b9^{wx-bS)V*ndpiYK*?+huys`sd*P_t) zqkXcOV+N<$M$@42C!cWy_9dyyeX;nsAq_-!H?r&-NClsY__18v7yJolGD5cJVgJbR zw}$xMn0PNVOY?c!vYZZ&tiA?Lod^e`NCQn<+>hXAwO^|V#{2Y(@@_6z_u2htULp5$ z3e0+Jjyt)K1B|VPx9xDhbX@IdJCjK~biX{99b_H}OBrwPu5jah5OMP*vw{d{(TZj3 z4T*!VA2`Y`>ZE}7rvs9KZ=*q6V}AWyK_bxJ6wOxtkPg0_ulAj0!FskkjP4|5#$)|* z+pk}_{J=f)t48Qo?3?)`N^!ag_oKtgZ%Wey!gG7>PK(AUIHF2@lKT_Zx3x7pzZdVL zJm0H-KQ34i9CR4;-`Yi!XU?Iv!$H~j{x|C7qxOkZkmsp&itvtxBzi%wjk}CMUtyiZ z6Ra!aLZd5~W0(PaMmMg%{*?_&S43rZ9*zepQ5w~s!|C8uQb}!WQUE=Cw+}qPdJJXC z1F1i@B*CZf$<95^IUp=xC&2x#5O^m$%{f120Z)Xw$X@Ae{Q67Noy?XBsr;-Fj*J=L zw0qd=21g-eKAPw7c^wJ6*Di#fbi+C#|4!@gZ+lZ2vq7n%e`oPKJE(L0EbM>Io2>7; z)$S!N2zY?8eR*KqrEs{^edA!ga4;F4K{N)+QB1g>z2UmVa9z%x%S*}$M2oyG7*>>vFvU;Vju#2mS1PJUlb8KLHT zIyu0k_$WyI6$RX${9(K@ssJaoq$(YJb3j?QXWzc7=^#AIrr(Esdh?FXUNTNigaL{7 zqcID3UV7PY-<}smB!1k`db#u($A_tKMc{9zGKl>4_LOj;69j2|+ptf=AEdOdg4~@9 zh~<`k<<*@IzZG9L39_Vtv;LHtc|jcLJH<=g{t*X5zcOVX;(Zj;QffmlU98`3yrbRp za2W8(mst(6S%*Wlge^SFw*Ioc)j~V_E6i8C>pX`>v~QY z=^-M2G>)~N;oD>eQ{Ngaj{XV-`o`~eZ+8^|)e6_#;k<*0|Ne8s$xRese~{^Wc)}Ll zHQb-D^Rpa0mYn~Px*hvuTWehzY$=6iD&;JGMpN|s1WWSjd8|A0FTPEm+>Oz?OaZ3b zSES_kQ=oXmy}&x17?KAFydm&5n?prgZ`uuh9BS8MWlMv?llkm20=Qo_vOd$y2K#XD z3pZaVNQcdp`tv`7;~^$ud9or3-){{2CrwGqBO?F4`KO%qxEKhRC0`VG=(+)ZxVxn5j;%j5|jFM|8!1>eOO{|f|#!(?qLaBCiv>S_v665xPN_rW7FM| zUMI9^@lgGOb2hMf9^$zbp8(=?M|)ebK2H5%&+s>+@zCf-!Ay>uip9is^GaT z>l?E!%@*Kt_1l_3RVYl*7Hy>4lS0--PYZ{b3cSnUZDCw{w`Cq#7hTxbG_0qeMAidD zef6u2k4?U}nB+I2ZkYGiWKuRbg^0Rf%b|-;y}0E-HT9S7`Xy_q4`CTtX}2T&OZvNH z_RY>ZgM4>7UE^av*zL?XF?J~kgyR@erdU+r@yM76P1`#!KgtmQ@&yBRDe^Qm0ca|NY@k!^;R&M+f2kXzkq3lw$(iR80`mbjgz2~Mt%G$FX#S6&$fD5&blWxZ=5 z-hVVD-j}xGx$J!_=6b209ijTE%Q|*`Pte~HVsEIfFib(vOjWu(B+}Q z{&JHW^xXJ-J>#Vu8uYjw7B%97^4ThT`917l;IO`eC*Ds;{rJi)N!S~HKG->-vQr<< zjhaw9Hrl~f8>c^23Jx$KGIm$-50K|Oqw`U3LL3osHr>6sXgj_MJr?U?>ZlP#`KEiA znR|7>^@O8i>PrK7kdr?3YqKcqs;>W_UStD@sJX{a7qi2->1)4B$CZ&#h}N@bciCZt zORHQ2&wHNSIQeZ?@kyBVjg1+uu|_nLp4pkV?2t>5!|$^X91zj(m&{sB(5`nudxCP# zMtrh`n`ccsrM}vM8Lix$`G6IqSxmUS$Wum5PxO5ZXt>ejna#%;I*gIqoK>ngCqTR4 zx~(0`W{9neGi!6P5nRkFmTm2~2GOve{39do(4Q=5csd-{2Nd3y0Y5E3P#=|b_f)q~ zb2f2y%I-mDJ2fWuTW&(ECc)2G`;8z}G}!WH!v*NL;d(hRRR>wvw~qTq@S#cis=PdX zHMIIi|BdYpS8#Az3jZP#3Uspq$0h?T0Z;5}T#&>1O~zA`5?k9ar*NZ1@(9+Up%jIAjbSB;@hrz@iyN6CjUze z*Kao>!xK&;0Un38E+b2H=D3)uX}>D^#qD}C!$k%5w&t^c%yB^%dZl`2aG&g8=jpix zDSNbT@9&(xji%_A;!U^E z8nv^c@)cD=ao)O~I}e+Z`Ko*3q4n!*BOt!-%w}E-L8tTRUf9XgW!V)8 zv(;oP@4~twN(w7!+2(M4i0Z-_eif+w>{H9^q=k;p@Qt#`a=>>LZM!4J7ZHIUZdK2V z_ZtR)-?@qt2D=>)&CKbLlbkLf8N+ulQ`QZ>>oA_86a$jl*RCXYSP|IPd$Mt^90HeB z$K@&Sb10?Cxu^{5+9XsK{F#*ZLevUT`rZ6y&^!Gtmj=K8n=-5MHqv<^0tZ!oJo#$x z8A{?^=dL3;!IP#y#DO2RW2K&xHS|BC-!Xkv5fO2<5c}Qq$2VKl=)+Pc33lkjCn#Lq zVh$(L7sRvGFOqRi;OriCcK@R;LBKvx{$yoQoy=D&H9wcR`*z^`<+*pO3L-*cX(jf7P)qVSc%0Mq9 z*Ur5EYnC?3WIsJy>3#;R-X|14)00A5Cme54B^`mzrEt^ZD$!*AD289r7JcIa*L7($ zxoM2S>9^O7Ixlt9yeU10nPVgJR=(*h$})xGUaVg|_O zafI(wzae^>-g!)Bs~MWYE_kWiHOcrs^18xp{d>+aHlfa}TDxK8o9+DW#A!ZwpJ58&Vv6b%Q1n3lsi& z&Da6f+3XW76mkM0|Cn|@U2q6>ftd0)lAB(5!$I!ZnNCqlJj zXm_nTvQM0Ya{Emqe>jcMxfRKJ&3QLO@HN%=*@KdGrxCrMVYuWvcVMqqW6`v5KmWBEhp8wKIwi+L@uz()u&5Sa+Ae^Oo}OT(LGbkSccOQd^ZA z-2X1OgZ_>?B6yj=I0rO`b&$bRJLcPo2cAZ}A`ci`?q%U1dl{jDSofv3T^m}^^ z*WcJooAqh51ClOnow#rj_gw;OH@;`ffyli94iE9ZI*Y$cb|>x^eSHzrl_+@vB|i+P zr|xuxx|_$T4|e&0#K&>d{j*_^*V^{yba@Og-RT#xbq#>8Jk96)_lCord#}eQAPPiw z)Yuu}e$-m-)B1gr5m3&`L}?uig|P45!<$9JKu^z~TZ{wy(&d>~)8CDP;a5x%uLIov z=g-#}-u=htM?9$0FOGUFCxCv9(w@M@IEb;hoqlJlE*!EJ?`VGJ21H-mMw^j6OFRj7 z+e=X&mPmyk>6DvuLVobP+rsffWIE)OoSD`VjszpFXj+x%FyKVb1>;IiiH409n=851Pw?2C`2K$?Em)zhK#Ci{1v+8~` z*dHt9tSa5XRNy*BdtJWN0X}3hr-=D}{Yr|1ybq;=LZ>nFueFfKd1b60e`TpN3)?a~-*i81nqd?^q!BDH_bMZYJID zG`N{Ly|leD8s@as>-R4kKyf3dCGVaLXs|Xh%*&v_8=fiC5ZY{LczG?a#3~Nl=zv1HrFmkfn=i*Gbf<-ylMchQK&VpwG9TAJy}1~aFP zs2tBBr9Bj$P2x_4Cv3gXA3e>0Tm3Yn`FJ1UZbO|H$E_&r8ylC<8j?z$Rd+iXzF-}Z zBK;&=&lA?rE>ihjMbeM#-^JCxGZ8oN1K|<1q(Zd_c&~e8f|oUvj86|;S>r2LaeO*G z{K|s&KiWNCaS0j~0Q*Uraf9&!5a67=zQ9lbUPHUxU22ZQ#|FuhX?oURUf?61yETN& z*C=DJMB{K%^7|%P#!a5H$bo(8^Lka`6!`h!zQ81l5^!9t8L4H<1=momnm`<_GSfp`9R1Q;!il)u%ckT|F^6Fc}fmW#x@!U-zJ#fw>F94y@5(DPFb z_o*Fyhpibek#Y5CSU!`}J{R)JA9QZ+i-bJipb~4W-%?B0QM+wl2pQ)D&PIJ5ll|Ni z0pE5zC4UR?A@lW&gqmQNGxkAF-SAX0HJ^OGLwDVhR2&EnhB;FV3r zx6NLv;3k|`izm&$F|1I)lI{%Bzxf{z5O_o2?J3E4aa(0)(6iFi7`4ECbLHVbHLm!% z7`MGtaSaBYc_r&zxPNC-G80;Y=fk^W{93~T)1doztH<7B3W&%*R)3~p(ZE2k@m>_AOHAn35jrQtJ}j{} zLEtjMS46*#sOt{&HyV}A=0Re!psgHhBGi6B;R9E*LD6U3?6hhU_$gO-bZFo>{m0ja z-m{IjTeGq6b?i!o9G*YErBs%1x`^bbpBJaMM=gfHl;;Hw?RG!dF0$9a{82OvIBUA! zw~QrmnBYUAK1dhY9oK%+j^sgt=kA}(feO`k^D>WBEhqstz!Hebc&&Z zd2Y|6F@F-zAD)wK+wdYCmb%1U6<#EPODp~QP3;LJFB5oNV35BnEIEPXZvyw98=QSv z?i&eJ4m(%QT4n?1X-ao{lMy=kU4}zRJsEm};#@Tfqu`x&@I_n4BP8!kzjk8S{PzrS zE?zi9^Dz(m%rY0;ma~EbCkK~2+C!jt(to)d|9^(=Hn2&oLa>1B@hzW&uk zQm)^wd<;(@>j9#^sf?l_(j3Z@4)CU>V&+H93l3_e^aP(>@)>k`s zlEEe{gY+9dezN3X+)xI%9~WArO~{2;TaO38=2+m_{Oi4yauHa)m7y2KzV{M|%b}B4 zcc15R)}>#zxmZUpiaB;B7W^6gWm?S_*tETIpIEP6kfvZO_gdhk_;d z&PJ7`AQ(@V9+YIl zt)ND^6Voeza+k-2dX3!yvGmFrVS zAqxB2J;2V>7$MlOS_t zZr$6HX<#R2H^{&k3nOd&yyx-WZK!Ubr`;^F++PX7ydA4Ms6zQR*F6HH%}B2kwAluGLt_Tw^6SJeLA7H4ED(Tr%Oj zl^$yjCJNtcT7LU`>#)ohQxlCMnUi2#~Fs_(_q;0Sx2C~E9?yRi)`9| z4idf#YVDp(glMNu(`#iZu&;Iaz?*~u@U%!O9^%En$CLfV3;cK5leZ^DaMS@tqHiCH z8FnVmd#W^lek9t$-Hi=u25k{=f>oW-mg0^5d8f5xKl-AHWzEryrwMT2Fh_SX-aG$J zACy#b0sAy=EBAku8V?n$Gwuhlo}f=xRbR#&e(s8iS_X6!*e~8x-8tX^TfcVXUW&!~ zTv?M;_J1>>(Kja2Ju(9-cAXChwhe=Kk4)r+_hMdK>e~3_0lrVysk&%dUjPZrY6m`_ zae-;Oy^pe}W5}~?{n1(}MGBPVE@qr$bw!aSDof}71d{!`*w68GCJX*ZVT;k`*vWVh z3Rbh;-xW#5XY&csK~+O#q$1P(cRlv2obIo_n!BzD_&nDuw6A19d{k`u$Ie3FI)3VC z#>H)@*Hi2ylf4+UJs9^>{NzgJ>;A#&QDxo+F2^vp8nt!VgQ1-MoiW;6X>`ksmVgP-Jmq`#k1hnOMuSR{3~8FCS1M`J-`Ik?6Ca|&E|bXJs`nAaa&d@S|#KEz; z$BztmrjvM=me!^!Uyw(}!7gFZBHrLU_!Dt;xA4viGOk{?t|pGR;yvnQ8CzL3SKxCV zuv-d<1%)9o(F*KWO~g5Yv)4zjHF0mr16tvhx9duS$$Wh`-L!di(FazqgncRdkw`w@ zn0%(=#^w?5VX7-mger;53nEY0;(|jy&bpDfF7!2di{Ww+gz*&wynmWc;?v_FEa_%9 z(_ne8q|gj~JS^(U2FI=yLnNOw{f~Fp7d+(4S`iPPH;D}wJ?fZ2=FbBM;laBcOGg_gyDX!p`vbIxIDLY$8?fEN_KU8SYUe^ zOb#sW(71P>5+ zL*Q+#VZ7uyYK#{NN34AWW8gzO|Lx~96o~f|3=d~KhnRWxvcJId9mc!QB-r6T#>i^u z!dMgDGhG)a+Ti9#=AX|UdXvaH>~Fyj<3_Vjq^+n;`g#xQ8YBbwpj~qqY`ltC$a3J{SLn z(Br-R#8JJW!%?91$Jl(;E+H7A#_YsDC_2@LZ;*;hBrr zmpgH_G)lD9hU8y@7YUx#ba8x*%``w@+nC0cS`S3vdEuH)yuW ziiZx#%LE?hChz6_;^Rm1H-Y<<7;&x@>2zpFEYo&L%mr$1QT|M0>=W(2VT@J+&k^1E zWZN|#4znM{o)iV|BYDSIusQtO;SeaPm@z!Ez69>5Zcj?g#P2~NE>24{aqy~U<0Z?A z0F)Ccb$IZH*}Y%C({BIU=NsZN@CWIaICSMlOa#Z6mENPZ*g2C7}H`o-77 z5K$kjMMOWg_M^aUp`HhmViY(b_imTFN*0Jzwl#DXQh@*9b*tt(nQ)Np{J{&mbKtt! zm0cTedV}DOp@OYO-F9;#+ zc#_MwuLM6Q$xHziW2dG{bw;04hJ6pjK+_(BK%c%?aP=3-8N~BXja?g14D$M)Ki{{l zGtEdl2THk&e zQ%k@aiE&j@U%FTfZz3O;ESZ-;qe`uwPDC+?G}GHDRh7eoJ|0W0-T3(roIZBvYAIA^ zvQN6<`4Hlq*mNXz3D18M=a+O#CZQ<`Jn#Ftzu|Z`#PZF5_Q1Ho>`n8xqXfUV>ecMH zPLK6C;Pb9iYat-aAr*f$>MV--b&8Vjmjkl?<}!cnOW=FPdB=g6T=+Yz{O&aNk>)Et zm!g9EY=^d7kz0@}0h83d0#~cb$h|9PeLC9srVMDld8t%4Ee!--3rmi^ONR+>*0wmI z1hC>VQT3C}gIx@R`OlpSK;Z&6%ng@7%l5~&?mWo>!|%asYN;uZE2Ztyvyuue_8VI% zz7&Y$x}O=Ml>wVQO27l_tIEyYY&~^54@@I(CM!v&f=XcE!IHiVi0m9rI`9bVktm>Z zyLuDgejwG`n%PXqsx4JtVh(|vmD}o5Ot_!1T|R>u$GOYp?fkP6DKIXkw@w%9y9~5` z%DVF{3l_%R56|4gy1KdtgCol=p{7Rslf*FAUH*608`}o~dXs%zF=?QPB2N`7 z#=?OQPJu;>wy2w z<=!K>?=|AZK8LjOK%~)r%M?omth+ec9>*977y4bcRRmJVbMdzx-ycQ1@BS*4^9Aib-?%v%&hb-Vq{7DmzvteYuO8SXx zc){pPeqYO9Kl4AC6hrXWWA66srJ!9)iCk;YoYT4T-*9Vu?`w z@q0nLd zm~|gk(^fD47gy7>Iz^icV73u8tGPzNmj#``(1kb<<_rJ%OAYHq{flz~XCHpqnB%69 z3yn3XgZ)PsnXl%*=U1se+d{z|d&3s?0`mE~rovg20S&y9WtS zU{*dRjr+(()%pSAYS^djU;fN$k92%D4+P1$IU0_2iEzzFfGwEg5~x`4u-cCZAfd(W zR*&#J(;?@rbwXw5K#rIBiH4mIs;fI|6ldTJmjaI(a57aw#Qpig4@|!3!TV^7Vk)f1 z^e?`rul}+s!tXOQwNEY_H^+JdH`YeJnC6f?K;R95w<7hIOG{Z(;q|4?f?Lnip*L%J zzIk&#XuAilj?_B9_KYVv53xQs+nc6+xmXY5W0bt3W=8?6ozM;5B56zJpRt}~3dhS7 zpy4t&uM&jsd8Rq$3pz_-o!Ygx4tP%5v7gmLKR6d|lzZ)TH>)K1DJxWDP#5baD6DGU z*ILDXkvm?{7$z2yxX~o2eEsFg1hCDPH2ixs4sQKb^zT*5{*Q-S1$wIRdkNtWOZbQp zeiMW)F`-{a=$sJyumoQb^L4~MEYYtc>N?vUA1}zXmchB^q%F_AQ(!$MKCd71Il!so2|gt1g8{`C^kqgCK=2^Jb5Yh`u{?ejOmoJ#@_$ew`Iq2Df@gX5e%zCoa|x;# z7wmiv36Xf-68DfI#a{}K=`+IGqA~y0_R}}!gps^V;BozlO>d)7Jjve#?*IHH-0&Mw zz?pGV@2Vco;{eC9yPU4@Y1`tayhaKf`x7M}O*L%W<;NJ^T29tQTH@29 z7rXMwdVr{}64E?xaDBK$@*7b%jGGLyKeY2lL|w3ub6H)iHVjTxvzG1c!oGhjqn=xK zVEqx{5lZAEKd6hpz=i#SR?(6#%Uq*Qo9|hvE75 zp6O);U(k|i3XZuH2r_q5x@6e#d~rX`);Sd)uz8RYB}%whdMf4(gjx_Dp__p^%b^SEt^faUVGoYBE>(4F$M z*Zh$c_jQDBvxuw$Fg=yWdI_Md?F-Tm%!E!tcRhheK9*W8q`)fDM8! z?E-tNTNJR|HI+B4^~E|B$pL+oP~dp8`Z1|95_-bfuC4gnK;RLs5{X?OWK(!JtN89m z1LZJ-K;PaZplZ(TtxLdj+98KR_MeD`oY$%KlA+;{eC+enb9Sk)^^wihm8NuZpFXCj z|L)~?(fEFnmu+r~KZwgm6UpgE%2bXY77csqx`?xIZv znv7N`!@u`s+W=2}TnGr&{boE{F>cY6S>iVIZlx^>TL zzY%aQczDz0MnW&wo(dJL(|9|#^3w&J_dl3K@@O<8Kwd(_*+SnJ_B0i4t7K7usX_0^ zl+S+Txu*92Nc+-otlFq;k)b3ir3__?kdjhDEHY(IhLAa#=XsvF&C_k3=dqL~L$XUq zGL)ncg^H{-&O0jlj5%8&_ zHdWZh4}M!WRMvJfW6|bSGSknI9>6)iqh{!yokZ>jo#h17=NzQ;84Uq0~w)9+)U zt4m2z#XAx{mYq>5M|%h3Dr=L5W2xX7_>k;7?hWDBUzjf2gcGMtCCiZ<_9?m-ngL$ltwyZ)ouIdX)7gJM-bVTxGHsHJtK7&3<6nI4qb!nLM{^PHoOON5 z(cd|%SN!3CRw`^}l-_qmdJrtOy5S>CsX)unvuDg)5F+l}+bbWU3qBsI-X`B&iF_3? zFm2LcH6ea4-;2zWdXq$8zs@}VN;3{RyyQ$AY*a8h8dr}TOZ4yGvbL9Ah=Bvw)DI;K zhe8n_+wYD$VetJPmhOxEMq^%2+Ro0T5%@8nV%m6mDjcrwPdc;LKNDPSU%>NbgHNJk5g1KOzl>O-Ni zaPm#*>Pk!w5m#9nUGL0}C&Cv|rjIS}ykYd$qKr_pCupS77m{{)6LF5?tmP!zvjg2B zaLr=Jz!z_4B42Bm7yin5p9J-Wok@PEe!<^whxXBgx9Gm_yXdQ1jOj?H>R(>qd2(>E zZ8?kVO5nPvPm1)jZCRl9Mp*W|S`vXz(z{g)kI<$9cL?RHQgja^{=MFNC)$rX_UL-i zOH`+GiXD}eEcb^DHS0DvK7As86x9m5{jQ+Ax8b|rdb-;p2~YXFwKq~ z6XHG8Cln1aTvF1~iJBP4XR6&oHe#6Jo<+N*lxwj6-1L?gkI;A7>Zg_P4RcIU_1E){ zW(h=mZ=dkt(Eb$zhh}wz_luAqPO7r!<3uRI132E`cso3I!^?-k9X2vPj!CRVfZ%P0 zE?&VHAak-D)2ea+`R?UvOLXt>?xz733sACdt%n6#0F!`O98&$=t~?P#;Kusc)wHuwhi3DFq z-nza=s5t?SeWa#8>F)z?nwH8vt5XSndT(ky?a5#U#bO^Sp0s&D>Gbef+KC{TVq6f; zGYKSc80SO0K4`Kxem}mfN$?=fbCreKx2k_ff}AHfz2UbY_!s9zoM%UZDY>4AlRVHxs|22}d`uWMJRJw7%8w+mxp26sn8sqy5pLgpFeS4K>fCV{Eg#&`V_YS z&twqD)-{CoxF>=cW0z4s%cji8gD+}-=h1#qb#E3gn;&q}lI`~YYJ z?meq7ERza*U%&jFd*2H54j;cfgzBKl`}IW^7SMdpzq)9bukVpGwAWNTnE$(PX9`gl zk@C*To?(n6>H)mInz$Gz$#;WH@Ecw?R7h37J~?BA;q}3-FA=tWnn@L?#=2=QhzQi zG%HxTqCF;&5!#@|o;2W$VVxSx)B=sedL6MhJ%Pc$`Rsn>5O8==wzuF-B%B}{Xsf!# z!>U+~_`ThsP!k*?azuj!GokuSO{gzN3O>+xm^l<0f^&s@grni>&FVa9>qw9)UDe?% z35PdfyC2*|bAj(QXIg}3NU$tC$FQF4@t>d1b5nCf{A&_yJNw8!U`H}YePw^=)1CxA zTXjqyj_E?F&(xresu$pUXVXs|qSZ4voZ2{T=EPI&o0eb8+} z^@4GrS6gtKf<%HNOOj74>5@U;NBO4rp%M^g5R~t+a7TL1@5aiuW_6#zr4aKIFr~#F^K^t5 z2Kplh8JBmbf!^DMJ_?aYq!+f@A`O<$~N zxI#vK=fx%)mK@-VJ}MNlj|{6yiQ^_$(|{CK*C}uq)gyYHaeJHd;YTg)7m=kRLMN$w z!9Vun$#f`jC!K$cA-%m}E5{I0G~_9L?})ZV^K9P+mqTiZE`Tf!0M_0YmeUk(yMMuB1e2;>@?BrJI8;MYK@L8Zv z2+ErSf6g;7$HK!~-v=Dg{8|Uk`;T6ik)AWvfbmtvFgT*(&qd3Y3{{C?0`D^d!Q5BN zc__yY`7mtR&;2YFp4#0=roR>nu}9BZx}p6k3CE8-hlP-C?vRB*Cv!Lmq)h*=8&L(e zOlP`_-=c{#z;C`V`au*hX`Fr1i2Ahy$1a5a@*si!^>izjZVjZ1>;L-;>H`HyZhiRv zE$S0WX&vpG%K;JhH;?I&?yLrHW(ytC%j!8`Qx}5zJJS9ZE(M4;t6gv9r(8+|OLo@_ zv|DnaSJ!vA+PDaKSgF2fYvn-G+Aoo)71ZaO-%dp%k_wvp^*wmd^MlNfoJpuEg1E1@ zl0T!mv4ESZPWNUCaUL}uoP3V<-Gv?YE}m7jgt_m(cRTcZ5cOTac4f}>3Kv*UZBbxA zc#{8ZJ>*7o7!jX}UY;H2(LIgGk<&HX{Ls7_V`}~Y>N9(}2>HaED1fuMu_HEOMPPQq zrP%fOS)dtsvz=n{8Zi90+qG61O5`i)8h`(@J9fnHovS($HX?#lgDs9%>z&R7=jY3P z-4pT{Np1U+iq2fv;%P1B$dCa}2ZG{rViLi%zhC|)O)}itw&X_P8wZV&`-erRiV6JK zcky(oQB5Lfip7$Y*~@`*X8iuu=PocYi;aF$3;~(FU$PfB(7vEy0LMCgIvDBnyv>|T zgGcYr`HaoSq5UTkw>8rH++?KN&(o0%nfh<@vTkQV3CZB|(+fcmSFpBS9MzLJ4kr6s z`fhEqCh)G|J(KmFKUqW^uuQLX=i6n#)BX0LeOD@pxcYcxaBeGQE{qu~Ri3^S1&$+) z5gDPVA3XVzP8WSY;c<@REOq>OIDqC4g?Uuuj?o7Y`5GMRu0s7<7^CLr7rxt=PrP4- zr|p+J`(q*fn6*D$z88@fc%IxjpRi5BDwM!=r^6A+uP>K_XO`AVst4qmWeZ0b6I1Yadfm>Q*wy-R=KMiH@7tt?78Vz^pB>)%Cm-tg=5Iq{vQwE zc!T3@Jgen5(DH$Yzog%cp#JZl(s(Otj||ZATub*2@&`L=eu;!_>2PsYZfB)@B2?~t z60(p^hQ^}Zy6+OTkY2?9=3ju$p2s%_L*aq_FWtyI4|IRO+q8%V?Z2~V$~hrDb5$Ps zrAK*aZo9esP^&=+!B4J^n{NF-6XDIB_g1^Vq2KLz-(tWtgTRd|TEfpi#Dzl8;O}iO zrTyR$rFQA&_GE&G$L}X!F}jWF!)+5$D;_7c6IUaTRHgeno>n`@bnwIWb)Cx`E@?gmsJYbc57q6rM zBcFW9FOg`-VG@lIxpacy9Y&?s%Xj>Z!26eO>YHF;_V}o4A{?>{US2MG9AJZ&Aml5cL3FUo{wKf2vh2A@~ii8*XVZ zYmcp(VR(J8u919l*WYNEuTf=l*&hermPD$4Ttaotvk0piutoP`weh>I4lU8J=QHb$eqKu=Et&389N<|Mj1K-^GQe8cs_o zfENB|zN0xi+h#|v#gQbqQ}eXTLOdNFo?-cLx-A9h{ohD)-Ajci-kNP}B59!6V-WCz zITz}M*e2|Yd@#cUTTgDM%YduAt2I6xnP4YfOOyU11BQ>6(fA8xLw!WdHw@`{zAI<$ zy^HS2wIr|Zvq3%{_{r^BIvuX8gyCn%)cXvHwrF@fU#oL~J06S$1R2}=#Jqlz9KlEF`uRQ@kb?8Xb zEi`vh@p?q_TL}2CsO3F>n}Ym1{a-xEClmUYKcDCEjvk4Ct5amwMY>oJ-_xd}jK#sy zrF{;IlgKZZ84QYcC&7wF@Z;}lDd2B^-N&;z4YnRr{qyBHs_W`vU(ySPz?RSak*)@) zJ{(r5p2Hl8Or5sDvBFRpaDLPX|`0nZyTuv15za*r;WS8SxQn?INW+F|+< zZ+k;v*O^}iPg&#PlnTZA{_pW{b1p0J0;==o_Jvt-#X7^ope(Mm6QRV}$rry|b-%-wEH_T>D_;fsvJy(v5zE!=uv`owE|5M0^(cISZ&1sK5l9 zoneD#JnZa$Wi_;!2?l0KF4>{z|I2!sLS+c~*XYum;Ye<3$QwE!XQDa7lVO^2At9K(>ADHsu|zoHVExRfm<&!% zYd3eP#KI%#rdBG)2>8&ZR8_Vb0UY{tbLShg2>c+eQ@-h&O#{BALVb%fxo9sZlt!gK z1STHms+S&!fp#lOnZVB}Ani4OOANi|N7V(2k*RTT^>^cgtE(aKXa46>tA7HVE*ZTv zmFNc7OtMZLJVpkpb~n!sYbz`u#UxMsA@Z;JhlA{5&w?JO#S?fp(Rn^oO@mCt!Mo<1 z^}PkiS0!LlU+YsL5m${Q(>O7tGt+VZ)#AB6biHFWVsMll_Zx9A|rT zWkXu#(EaGgE@{UPzC^xe^}JhDN_7R%eK$SQzMy%;fA80X;#}TcpAaw$JFCDkhjdl` z|L4DB9#?*?0XW_x}IqrI+=!K;Z<*$|QI zxJVJmk70+*?S{}C_tf5?pl=V{U{3bi*S)#km_^OAv&Z$dKxBe%`VhiD2FU`(y_sH^ zY+vWWXn&-;^)J5dsXles{!9U9ok9DLPa@%RaME2W?=*r3aJ<3scI~?pt6XOixPP#U z^SKcYRGwNY-l@rudQZO3q3=9Km(viHbPDwq_EKE5{}2wWe_Cpq6Uo5AdcIuI&4I|j z+oMXma|EK`KH(ae&W5$k z-xoyqtG;FUkV62(N5xZ6A4(x`qoh?|d;{rCi*%EfSDu8y%0};@BkPF-4};s)9AOF) z-1je#&^fmq7=r@24(*8q0r5SHGEE*B?&psCh~fTFxQ_tNSGdjzz7LDsU8Q3(*dqfc3M zI;GYNSg8M+pKi~F)g8|DMcyG$H2a3{P%r9>-Vn>&JxV6(qQtYCbV*lofj=#1ObF@G z;B`?)UJ}=mH<_ph@cJr)q0_2xe-6QKc-`=(r>OW4djN*l1>_;`NWo5|`~BVfbmS?d z=hET*U_lhkyE%>ISED_}w)1bd+92PGudg=K*iDeXie{GlN3>5kER)VXLtO-u%@f>z z1M}f)Nc@--x^JY5n5c=PM}4SwJB#YNkzZyPH=nthFBsV+WCSWjK*A04af^fTfXB&t zo9OmWY0;p-e&Q!5Wg_r>5?J}pgLKJw%JUA8W8jzJ!S>0vILQ6*DEO5hx|a&K7L>Xd z0gmU2a^n@EVfDP9MI}uFyxt>Dx#hb1e|~=NkVINJ+Q*tJ$mln`gZ4XiOz3@=Cd1}! zRu5y6DGZN9(tgtq09@zsf@txMKGcWDIFkmJk&jpN_=f{&-2qzb(&%}fx{j3R!@1=)IA#ieZsHV{vcm_!48E+t-I&p;Q>-8*HVDV~o z`;`G66DBG3szosNG{auV8ts|d)Y_+(=K^KLi~6{sc;d7;T6r!p+5_-Yw`4Gc$1DY& zc&ab|VMldZ^NX$&)NfiYaNbpHkp#DMPxI^_N`*7CFLw>pdm(LiJ`Tl-Au8;&S<)TG;dz0YrixUYIXwO(pK{q5> zHv7a|}{_tg`=v=q?uI~(T=F=(F3*)KLm63gAq)!lbJ9ftlsN#-8R zg6ji^HR2cZ;P7RteVT|@bdt~Tw?~m7SRteGz)%r%Y>8bnL3^-4y4&8zzl;Ow?hcLn z?-5=-Xa6+0uLzC_F9sz`Ait!?k6Kp||Mr}*n;$=z4qL8F-j~zN0?N34Y7Vv%@Ewv! z6#Pw^f?9!6=zIsfry5c|tqa2X!wXLq#(r_QTmd}CLM{#^m>w*#S$`mko6E$BxR z0~d}tPgPAs5b?P}Kl98dG8Pn=6i!Z|dp1{fwYfz1VpyZTJyo%s52I$*Hjkhfrmau& zH0|Gm>7RXvnVh$U{l`}_>t2Qs`FeY&tFF(e6Y+a_6Kxkioyda$aXzU?{yb>E>B~3~ zWr)2OTPd>C$%WKCB2gtGSzy&>U@bJ01XsS1skWfGAHN5O)COA79l0I45q=0e3Hz(-nQsn9JOylHOttfBcYQCS(|d`2|q zUaDo#-IEA;Lbk<4`%@su>@uaYb|UnR#3lbq$%BX-bte-W513h{bNAy;C2-J}NAaN@ zs}F&9Bk2s$CAa@)uI_*1V2$JGk+;J+VC%Vg#r{||5my^+mqjm^=YaA~+Pc4~5s*cq z%5>#I^<9NF18Fgeh;tlg9p%|B4~3!qGvSS+Yh3|EzD6wcnik$rhC7q(54@!Ei1(Y_ zV6;Km6$fYQHCv1-P+i_f%=A&6ywJC>p6@RH4Z1M?wT2ox!wbD`u z#?wZ-lT=c`)FIDD%&-_-OqL&HX+}e*lBT2x(qGuX_Ra9h+7tP6xK1Y39^LP6Gd)$^ zjP@A>rmr0PAyNXd7t9JJWQ4K1{Cp?b)YIYMs`({SrV(~L^gjF3$ZJ^qsN`rB(sL=B zYl#SbQ-=Bnzjh|1I$_1F(TY0W`9yrvdl}L6%$GqrdSu=s!x|(L9+8U%K1d#>Q9L*lVNfr=^h}&Od)x+(!(@ zWt^{Y{W@Id1mB0n_a^Z9I{Y3M@7LjcJ+*lL?4$X7xW1xxd#*he=9GwFAL}IM3bhnxu1e zB?GGrW5o@68-jmvUc`A;+r+_Z`^yr@%NjN@@!LFQdi^*DmRaok_LRBEK^n+O$BT(55SxxM2k}j4j#@T z>LSzYm&^Op%i+;tQPtLfBEajSr}w62n{JYcdH}DlQmZP+8HY;=e#7eqJ+ZUj`bBIo zygo2+c6fb)Ee!lW920oPi}Xgo-1>AW36di%sMjmwz$8hYv;m*#9?P6-lP*&70 zUiN_m?(d(R&YDVsU8nWFFCZUNI_-*ATFBRH>%krw8~Oy;%`>Gf@Fooo+gA?{J9=TR z<@>yJU6a8!&(AU20Qnzgnu^O?rob@ep5^G8RPgh;mwXcKqb44%9{fp}3Q3o@4-_5^ zAx^69(YPu~Jq$l9bEi_AMnd6(;d_;X6%p{hY2W?I2Z7+9Y58mJPdI!Z>NeA&hy+PY zZz@K}3uwdh7rTpox9y;RSbXw!1cdMSTy0;I0G8RZHTN$?14m`{(DGK~n{}oLVGwQQLO#h=!pQCmV-N4t3$x9 z`K7V_NEEzy^h}a^g9J~{e_A(-NB%DX9U>B_&SIh!(NcKh2^$Q4jOWoD)L4;~fTM0C z$WJie>s^Wltv~c!S5!$r>+h~ugLF)cE_?qmZ4UsZMa%H!XQ9yAuDN+VD;6f17zFBy z{9wl}AJtMm610BaA=#&816uPxeA|oUp~j_%wf=i3#PzXFaSlX)GV5Ekp_Kv=5>{VG z?MT0b>ZmTsBO3ayOC%ZPU4u#5hG_YRCd659H5y4OzXUbsUp=q;;033Czq~BNWdpaR zhFQMTI%CoKpCm)9LqJsgXyH9&gmdff9>yCc0Ka8Q8?#CP%vL-p9pnsxn-lMcr3{my zN!sJsSIcOyJ7!xN;a~}xUUfY(<)N^1aYvjoZ7fV}JlELa5CdUK?U zX#P&s-08vdDBy6@N-w>T3Uo<*8wx7Oe^Fk?VVk}`adz9ZpJII+4Uek0*t2QuuxxRg zl8+p&ME_2Ax0*VOgFB}1l9{PXAPAN+R=lfQkYD1z_}nRQ@+4{_W7xW6eBMno4-=Js zY|=ahANy{em%zDG|D=m}4hoXS&JAX>O+Y;7~hkm~4 zk_^0NWcJ4y))@Wor0kbIE(8t+?3z2Zfcz|Ryc3j_`(_xIOvJ&MlxJ`_y4P%1vw3{_ zDbj)Y7gzcRLN%90kv_YP4CSj~GssEUen4G41XibxP;_Jj5OI#QHy-BAT~7(k7eS@_%`O=gG~VZys95TqST_ zf#h;#)Fl;y$F(kWy-6nU>FVe$_Dg8qQ063uWanxC+#%TyWo$_UBcJSZI|6*c`GVc} z137<~>5r#;NJ}E}=LzIXpP=ys?1EDC<#m7H+w<$xOEeF1(vas(j4=2>Y zrw!?Q*<2xWUMD12#sk~$BF{0OD+duQ>;rUtDe%YU@}satH_UL{==`81swe)%_q=<* zoRxkoP-wrRIeroOgh^gD+m7Z{aUQ_&2FF`V-ppsmw#R@;_^khIwLhFtYT0w|8VL+L z*QbRUFJV^Ce9b=J4S{EZ%*6vQ{UI{tVflBYTOavML}1a!n#jL>MeNlBxe*{KFKm#> z6b|#UUD_9WlY#ZAcluVZaM*RZ^qiAXGEl8I>|RkzBlxMJe9Jm(yg&4o#+ceixIoo~ z^6Fh%QUCoPZgeggPUxn6zuwhGK)p8)3;NhcJycB~vL%=4wO45$*n7~`-t;gyDAY75d!z0`Z!~J1#T*mnd*CodF>u{YDd>vsWCmSX>l*G{}3+q!Ul@Qx+4|hX~;ytip|sX~8ZMj`p6Ui_i0gotsn^ z!^u7b4&!`?*9R_&YP|l<7Xjx%oab6)#+`Sgdx#giZhe&-Gbi{L=S7@nGZh(fXGp2Q zx_f8)5Xb-)Sv z*F?dc@_Z>pjwHy>*cP*abXs`d86ESV3r4!^`Kby6-Vh~rXlm1ni{PDZO{sV0eJ=34 zCi>@CXDV!e{iDc5EdY|Ygnx9O4}q6PegRaPDMVew{ZL<8{~_|HzaP2h;!NOF z%~GbRM4}$R>nq)|d$eqesRX~_b;I$W>}CFckiXc!`e2V}cYCxm85pmZoS9Qfh5ki7 z`tvkMziB{rO!s{) zosO$<<7jV)Lq*v8TpqY9t2qn`d%)nIDJwO(P-wTmdoD6R7V1h^f-_~4iM}p*>zTC? z88p}T^knq2XDM)vgB=?~eVFx=mu!CW!~+$D=58nBWDwoDIOV#T2qqp&t{d_(Aj2Y% ztSOH6)0q@1dE3#PjEc_JCn(+`pN=Xe*tD+4Be9!{2goDQcK_6m-hp}9Ae-~*1a zmq4*^+G@XDAmF|%C*;2A)&KJy1dapT2u%NHfPm2R>;s1 zclLX*Akv*#w=~(0<^isHt8VG)s)V3r`a|xUmS8yN7%U-P2#U+L47@K2;Ji`v=S%r{ zkao+!sa3TM9)vVxJwbcciz+Y1b>xcS&uE`xv!?^+ zuh~iQzgbXt-}!LCwFEHare0+>C&TZ~OuHbhEV#r_Rof=y2Xbepw*BT`k(q2X)_doc z16GAS?rLVmaCsw-^#t;%n6~@8GsZj{M2E)0W{@xLpqn z-AmLTi7pu7`{0=j9{UbDJ^qjaNsgQ)en|f)Vp>lfyO0O(i-TJ7sY^N&aD^W`OxUdzebC;PMPQXrk9=k;#1cdg)FeX@HI z`IY`Q+VUhK8U8Q^owK}{4)ZaIG_W-vUf$V{C3BNNTDV(YVjcB!?)g`5Q49q|C@+7a z;Q$3G+abj#6E0P2?D%s&7OLL~v$+JNL&HN#(s3O$7o#CTS==25bxCo|wSNs@WHyb4 zUn7n}$F9x~4JRe1mqW+i1h{G7t5h@I<=oXtSgR~&t&&6-D;PUbL?1Pt5V392&TuiVC zj66>syNvc!TZ{HJd%F}tRk_{W>9jn!n|5p9`2H-gl(v5xrkMxfjd^3k`_cEGsLPWf zw14+$=c3jtpLF8%k!`hG2}OG6dGkYCZ1sS@c7u=273sJB`{%Lyl+Mm8mhkXWYUL9a zbRVym-j7+5i1?Im>t_-Ei2O2&8g4Nk$%LK7H|EVM%HhD4ikYbUB~ZOX-mTlV96o)% zb_0s!fXblpN?E8i>`JYW(U(K@!M}WMh>(bzT=OJ;@2bCn&W2Ml>ceT5k-rr}McxlE zy=0F?Fb2if6^2pmk6WA~fw`;pm zOuS$2jV-%mWs)Ib^lS4Wng}8<@I2W(9LWDjJd(h5gRL)Kw%n+Jo*@dgo|F;-pBSF{ zC{TBo!eud42JQ>!zdvU`TU=ERuQb*?*>Vzqwk71`=WoftefF9pgQ6#qKSrPZv`*S0 zJ^SAJNxs@xknsrkdcVE`6uz0)-R%^??%aqC`%|9-!mCD!=RP8Tu{%2@owTg6+i!*i z)i=Cgx1`UfbCy-GBDMTUHPjs&DSGd%iWL#@UHCTa@Pb_d(68SO9B<8rE&dHO<7pWL z58!x%3 z4cFfl2;>8eXychpHbo-;n(n3X{y^_b(T~a`XA#xS65JuWT_y12{vDC4;%FcCQJP4< zL^?dFrz@UB`;a(4Eu?sM{YCS|--67&|43#-cjMnXPKNmeZfMz*?%&LghCgXZ_doGR zLev$WTpKiRf%9a5tn732_AFnu^6u^2Q4p2~EYNdTE~OHAn3{nI(Y_hIq934Fc|zlX*9b$DGT=Qk1i8p;WN z+Qs#k+3meH(&KM1)ht8zf49O7yY`{}gl@iO8mcF79LD(&uMb*l^qn_3O$i>vdCu+P ziO`wSY~U?1P~Ve=;^`m%;=G9SY*F~C#?023RtpP7qq&E{?26$Z*I4P-ate->F19*KU^<6jPZEq#PZ+P8c zoLn4t_M;ny*98h^y;>rbQ=z%#vz)I889b@q#wPM+gMJ(*>j2WVo3YcJYdDn+1Jr?& zPeM>%wu6b4`*j@fTJ8V%=u9c7uX)QWJ}QEyKNPj=jM*T#?yq`@t`N$#wsby5b2{!} z>lxf=Ph`;ds_XARsc<~MM=M!4jkvGB6++q?ltqRkiFPcU<75~(a#!yIy0^+ZhrXMT zug`~|iri(z6!;=wwK0oMbvX@*US{Oat9#Vsc|-(6I}hsL4o`p~%GW>o?LGeU^Iu6O zm1>}R?!Nk&7i|k<_$e^!`R-*V9PRV6iJH{HKI`NxeUkA3+z+>`1r0i7ov+9grkS^;ID#jdqxq`xsd!_?6Fh^wC&~s z&Xgh8K2~k7eS^aC<6czn)R@(n?<)b@v{ zOnHaRr4Z-sDf!}5IE>+^fx-4_>)okfbD#|S_A(vrHLpBUB`1O*)5JFubpQGsD^?pq z`XFoD18?6&_W>@O^BYvur(w?isPC~e8E}1?XXeoi(ob~jGddre4otq{WxL-T4szG*KRv}M9u)7{ssgJOV#hVx(&>X$FxY7S|= zkPRHhAxcx|J6oELfof$v6_n(D*R)^u1naYIdymv{LD+D|iqFqv*i-i`puQ>@KCzxv zT;Tnm_@>}yv&aM)u`Z?-)W>iL+a3G5)(%vp_9MM*Z{qAw?65z7!~+gM-egcxEX2~s z1?X+@hs#?pYd@#-#`uN)vYFpafy&JpFDKs|uxnvV`L(MEvbev%h%(woE4qBs)fwSQ zCyNV5eKCxa-fPzxWkA5SdKHGOAlOvZ?RFnV`d4<_TJ;$7;OCXQONm>uL65;)_3x=T z=t+EL2Jtgn`GU*9kY&Fg2uEY{2&&sV`+YX{SbVr)- z>rOW;_>;^HbyXjtf7h8qu`jVL01JA%{od*V@+%Cf|Lx2XO~mKLx15*y)y!b?y^;J= z<#afF!1B#+%2E(iwkO5C$brW{dK1?sO5kvn&ZbMg9NYnJ@TZ z`$Nc3a?tB+@WTYSKV2Gftt%PA4H?V?wMz;7;15)D5M9fK?c0C-e8^o6f95#0?XN{X z=-=rgC4Qs5&)Uxp4a#|7-r|$?MK%Yb`F5)r%cVh&^=;Na?lIsJN4dBS>Ej509|@~P z_m^hZqd`O{A1+xO;>=00#VifvK1nr35;)kgEq9DsID^2uZR}D#E?@JAIH-Bsx?mHL z2g7nc(p@(yiMUc^)r#a5%Y-dWO>{PyzHn*x1QJb(2lKeLXQrlcM4aO|+Z^>m-EcYw zEMBkg&kczr^0k~l?=&0QAD^)eY6+ht6YrOE?S$ROOf(-vxw*&{oAiHq@h?vdbW}d& zzY8F6eTXS&N*ODK?gr}zDz}RXe0thXmDeAJ_Dh=LgjOyl!mPu9PE>s>=szC7@dn3RmUz+)9ZIy9^kuk&ZZQE~<*!NW z_ai;m52+NKUB6{`PH!7|REzY44r(d4IwiyF>2y^g*Fun>J)NWb(v8T!fsjTx7@r6d z75$G+4aLG=xf_bIEyY0p>ypN_QU>h0_i!lSQ4U1396puxyo}(da3{g9b!hH_sePaM z?89jI$=$e1?NBy>8=)tTncU1oK6OWTQ0b$7Htm&5YZ_=y2j}5kb#1e6tdXDDkfF_b z*;$O9swvlPOA7K8>JxSS?1!BrbtG(Nr@*>j*}h{1X4o(5w_Cqq`2;TGe1-d5;(imj zZa%KBitBLUdJXtqA3pz$&k5o8NqFA@=ci2y-F;qj(bz|-84)gYueW}hqp=F2*ZJ2m%)d_-k$Rf|5wxT_$ z1y0{b;zOn2{KZn$ifdou>~3>xVuwiFO`5xW!*xdHV_oZse;MwylZUKeph z-m*R0Tu9UdczqR6_p6sjyo}&Cyl%K%7{;NwJp#k)gR6A9F#Dz?U84d-g6w=u_KCeudtsWuVVskvuE zTf<_oh#Tp8&W#CJQ)c()qD&CxRBhJ+9#{R2F4Gcf8YhWz}Pmr(A zPt3GK+y-ml7aD$>>w+DY`o8qzj4xK-PW_aX$pK^IqJ77E$sOC{bpF37=hCMWAzIHOj9!p_3y-gw28rB6=jfa(PoEt*-EqinZf^lJVM+_hj=)OHfnk`wmnf%N;vm%iA{4U*>1Q=!;(M*S`o ziV)22!l@RW20!fY5*wXuj4XC2#^r8qxEV%s(e7?(kSmsWxcQ@orztk_@vyk-E;r0- zsVSz=Py^z3Ft8hw?cnSb7c+f|Do6!BwR^}Lg6UNyrS6MJ!a|;Mx^BM{gemo!Q~#U@ z!qmQPZ}j_WhDmFjCtEdn1AYd=c+)iErEfD*^@(Dhux(88;G-y4G-vfC_~d~AaBbdN z_Tz*j2)3`zQmH#)lJkY@{Vwj9knCt`rjib}aWLN~b=(emZr|ma%(262(%TasJ#fKx zE+;$ueH9EJxI%0bECRt(o?(dE!xLgGzLj44%ZE)m+aI+!gZv!(jmyvI+hV)>jryB? z6@k~rVkj!;G8PiYbNF6|2NXA%zE(fxN}ST_tm8_Tt)X&aYk9F~0Pt66sq`8~5&gT@ z0`ioz$WNv>%(3UtHyiB!n-Hl2B|9QMxmk@L^~ffIflT6#>H>GHTAMVL<>Zdha@0e4 zxHI&n4rvNbt;`Fw(sRbCe#pwi)DO& z$Ahgflais)B7bKBKOQo*O>}%AVJl6{gVj6quz9_&zEmv!*h!_D8%Jrwv5;w9%s0XV zdmeg!53Rd9#$HxoVw0wYS*G;W_O+{mvjOE|T7Mu`@P_hvBXtmrZP{_4{|K7zSD$0O z%Nzp*c3KvbTSEcIL7px3I)Z7*1l}bbK2v?}l{<#V!TyqAzgztQ*xr4N6)#Vj5pi|Z z<-`u*9A|hL5C;;+UEv1Z-o9NKo|r{u@wQ;hg@|(;XIV0g45hN;Fq+V`<2>_LM7|nX zx~}c%^~Pcoj~*;}5KO$^$01|3y0;Zzi8}9&<3t#d7kHi|HAEkvP|^k**QX|CyP7Io zfGnV_zcC+7;8TFmbB|YNL!qqV^TBpIHn@}d+Q|65FUDm5_k44hEyAe>j4XI1fwc< zFvisVo`{d|VW6~psSwuNKWWI6yd5*x8ISPRDV4f6SW zzXW0W&+p9?T#`U)qT3!MXvbiBa*-_?h!=5wnkY(f4&SK|8*BR`tDHcw(=-A@rg(WKNYyDFeLhx{R)XOgWWd*QVoaie2#D}Rdo;pB-_5}n- z-Ris09;3%o@~>)Rptd|KbcdmQaLfV>mA3e1-eN;yz-y-vq8pjO*9oIw$x( zEY8>Xd>wudi}&kremZ!eu|68zN3w{Y<@@t01iL)>zVhLyC8kanv*SSDNx*R!=R>?c zu+bq454$)MJc#pL>86BS?lm54rfK=<*T6u6e{o*KdG-k3dP)7L2S#To@aff;Fu?Jg zTHc%2=q3p(R)T%b$oKFv-(3~QnQ*{)8OLMOjGn6uc5Z<4H;(&_UhzE3w?eQ-Jk+}0 zYF=1eX8oA~=3uN!iAPNIz6$p4C&!uBmPU|2oZX`$w;jz-{V(rqy*z$z^qmjJW^ZU# zBpZrJMhTzVb|nC7f0uvpwyqO~(WulZdyzK(_y5kod=74cxw?wP~?BM58;FE}`$J&X~jca_&i5S?ap+89!uT}wa8a; zq$l=5_E~?(r1ao_ux|99pZ`vMS^cwH45Sqt9Q#!s4MKl=+Qwz#K$%ZHMUO@v`y}zc zI#kI9Xsyrt>K%5)>UZr}scw#eYfWVNpYBNzrFH(~y*Uz)wTdP~{1Raxp(kGKZY%`v zk+Kdv6%WA~*PcpH#Y1*aow8<7Dli3|@0pbL#(pmvK2eiOf{~l6}l1^iEPXSN8%16>|LBzR5)%Xr`fDwkDiuV=5tfNC(AhC1=y276d6@GPAz zwLt#q5Q$KSJCj$K zr$d|v#Z!JhbUzPA!deD<9=pL0i9Is!9$G?yn#qmoL(ZsPxNN<4D*(PanT-{WMS<~> zgc2>%gXMmz$53+857mKdJLz5gpyy3SzlLHW@{t`AWI}(xFad)vzvT>}pYy9jxn&^y z66s`nY7zyq^pouo@1o#dLs$5OuM^CEWla3369KN5Rk@5w5zyK8-S6?uWRU&7w|h*- z94LPUtJPEb5a&`u)Rve_kr2=;CVMpA4lCT)Atv?z?av1O_*_=m>xrG@IB(WL;SYC0 zU)k88xfwh@+m8FMMfMtEL7HRx_vA+ag_51lHI-zjES-v;YK??p_1xPYXOqE7uk^7< z@Cl4YEyDQsF99gAxa?p`ZBFFt6T2t7$d<0e@4fY<;k}?^G~78Gm>xBd45zPj_C^Z^ zV2k;E^3;g8q?D;&)fyxK*S`L4QKVxiy?U0mG}0GFsP-!gtRS5}<*b(O8_5KI#7#_x z?Lhh|4qxkwTRx@0GkT|=f#3_rweJkvC_%c3Irf`$GbCs-EdD4v8wG#%Tlx1DMM9e| zkBk37Pv94!llpK9%?(&Kvv{nLBPD}~s}C~|<_`&nLBP&)Q}pbH@VoV| zq=^yIUwNEP)l=+8#5s<$Plm{(5XmGEr3idJ)Zj|w>#xA>p-YeLAfgnQ-jD)__bc3c zq3_ymFW|a3?PsVFO5_EeCytBX$5!}}p6owdw_!Cav_kvn4p{-cy?2qm_&)Xf9U zQ$9>$zvK%wYocd_#8Qyoj=bAZX?85oqU55F5UQWKuhZ0RxWFOK)H=>wPmB)vi?HlD z4ivc}lhvP*jzRgRarR?Z?2@6^kFRK60FUo`%y(b6qxpR~qx{j`bx4=;J#a0(i6?jf z#~U1P-yETo=08CKkH~8U`q|!4<*)3$qazAVy_?|JGGTzxcbl;qQ>GUfcloaJ!Vvru}%!j3|_2o%0f9!g@_0v!&Jgp}s zMwJ9wqV-C&jHv`au?L)E{qfct#(d=}UfEm&zh|eaDA7GHjvHyOuL4z-FZ`|+lv!!@ zgPl|fHcX@_f`0}~gZICbWtKb(0? zAGA(wjlFJMY^Ov%eK;=Te3g(&w&Cva1Kb}L_YuSWCU9M1T)z(2Il=iF-+pM6 zoS*QzZXqgP=jM0>koSAB?aKFtuU-A3{?uLs4&!`?*9VRMRIzK!>VWeg&U0EX#}~sN z2BZ6KwX3`_R|)>bc@gJX*G8e3T{Fm7(?Uc?^yL`PT$*91pv{pK!0V!eF_TjE9}{wnse>nzX zFHZk`vc(bR`d^S|kEKD}<%?d5>?v@@oG#ikiUa}Q3_iSi9S`7Bdzj&YJJ6KxJN0$M z9ULo0eQB(a@7mThS`yNc#rLM)yG*R8{|*7~XcfDht>JLU>D^G!8rq{+pqxy041o@t zlh=}2LV;yAEWooR1ezFkMoh|kL(|J2CvsAKz+beOJ81^ZC4c=aF#hh^e}2AYL9?+E z+COkxJXRWr_Sy9=DDL0Y7Xf2zv3$rT40J00ToPA7V!F}{^ z_2g(GP*JG_)1&$+wJD^@B0Ld<8jemK_m6_;a~INUTcSbc;N8Jkq*K4mVs+7_J<<&2Eqedgso#k%wf0dqz)Xomnm% zm~~_Ligc0d$A4MaTE{>l$ylT=T@+lR$iUb(V}VkyHe|=ec=$fPUslg83HI5fwMtGU z0SVhh%i!P$$atf)+y6=;7$##M%)TK#;p#%M3fn;7GW+%Z|Mt?U{1l{q^0-43BX8Uq#;%L6gB92ekLjQ7fDeM!LhdA{HUQaH)ch|w(u4|j$ z^^XRN3p`537QsY(`g(pdY8&)}wndpV%b_F)9}#qevX*8;c> zKAhsdGBEm%nyfWa7rOE+PFy;S_9_15>#gpmfwL!EiRYCU(~kT0DjS@Vr_Pm4WP#`V zJts#7oUxxVgNAIVPyD7f$>4oXHmI))r#%)=0E&aZO%5f*!y}c+iz@PQu-{I7SP|)C z;rMY}MfFvjdSn%&F`>~LLC8n=Ifo4Lg*p-Uh4+tS7BF*8sO^gj1=p9vxd)kPbKzjK`9{0>BRL+igEE0E68zx;`v5$}j= zwSq$&AANIMBEglKR8^$`>1JtfezSkffz22dNll`;b;ZHh7_P$_Ag=v%cchmCmR=W` z*kfz~hsj2()Gii4)a1S2PUcRShi&*B9?=XUzV`<`k!I#adUtB?I-VCLLChP5=M@N7 za2~+%2FKeI(k~LUDC5C9`JgYmHI#^O|86q(5%?(u=;A@cdg_A@$-#`f7(G1dcc6_(KU*Qo>RK^3i*^cwWa9`Hxli zuJThR1IBlh%6qGb;3xMEAG1GMad5btCb~Bw9?p;`D|RO%J>-A5@u;TT%X%mP9&>LG zn$U-Xto3lu^`g%ZmPdX zzc)GfNLGghG*L;nY$9JD9G7vvQvFW)iQ`uabgn$ty2Y)7;r_6=j~MPZf$I|E`gJ&8 zJTrTD#3#|&%HNk z`lhLt3|T9a;_9YK1pnf^i1V!RUkVu$G~ea%Az)5>HyMWG`NsJ@ogrxNi(6%{nj^ZO zu)g!0Z3gp)M--uZkFzX~j2oi?UfjRj8I=GF?K5^SzQsc0RmLhVCA4p8dE5MV zULveH6j9tf=nR|J-q2?|3vWd5`XTDonIG?fcx}2Ccax zDeF3D-)wc!Z8L#?O0s;BF|I@?icBj2DA{Y)6hxO@6ZTfAb63PnOO^Bi*{! z%K5@S8={D_`@=~p`<-@xpMJ&9#v0L{&JoV|drM~%;ZIc(`-3XoBo7VX2z zJW-%FM!&oE!qzJ~3r-7ncu9Rn{xdWP{84?Bf8hPQSDzE0K__QpD*^4>tu8**o{a`S zk6PV51wkO3&Q;@mJsC6)%BWsxONC#``;?1Zke;YuR?YzW{Q;Tk>N>J0@G^bEzj-PQ zsDpk@90-bl#pVbDpPk|GAoW8z8r+Ad{TUmD4d|ZHBOogBS}3fH$P4NwMuBf&PE>JK z3UFRhHCRFSyKaB4MP^=!gN_Z_cKz4xkelF~mO`fvyUYgUmEDjIk-t+=)IbP$1$1RF zqW5kapiQ4-p8$rN-Wsmf;c#e7HE&ka5PAZ{Xb&(25~t#G(UhyB{&43<(}#uNIJnkv zEus(cCFw;`5w8z`b?-TH>6CLK)O>Q;dCVmRv{;i!)4DSuRM2A2hr%#$uk=qEsMiw|1I;lBnedpux^EvMfjvc2Dc{7 zPJh&Qk+$^PhxEfLoeaM=_#l6VAMlz7?UCX5k>W-xQALOL7;j7pSR?$)Fouo;9L|vL zQQS50It;$Df><8fLylRd6r{M83~@Jl^t^W@!hYi`_m)^gK;px+#QDW|I82(c$^RYg zebVsX`5J`2YhMKyx&}A`-S4fv{3xDq96b6=pI^Z}l)yW~BmFhnxoJckxITGzxnd$2 z^1klx%y%du;>x4yZHruWIvC6k@8Y2hfZQkFhb|h2KgjP66#GR&Hzu`;dkE?BEXI`lpT-@Otb>N;q%smbre|Q4vcaOX@prbj0@%>Wb zdi^pHmdX#0O*<-xUDTP#)Ln?S1awo;MHKK7gGUjm{i{CPISP&3%|Sb`Ex1} z-#aRV#CFc6f*G%wvNo#M#HL$0c%CH^Jb>d3j<-89&%aAW_a{aN0^5Ydgja#Frb28H@>o-+61;4g>RD^r#Nf}hk*oqRcraLkmUF*blL z5zQAX%iQx!CUE2O@jYK^Z}`A+DdzJ&!~+hLRx)s-?@yeEZ*8dWZCFYG1yQ@N+2UeY z`KSIrn@IoiL!b>UD<@!ALK)iK@?$`*!;jffP#2b09P_uoW)ZlI^VQ0Bsw4&S*Cicf zn|E4K!REa6{QJ?~8}1K_`-tIw6Syuh&eyok3BC`D?@i$Ib$A~ZzpumVI)-D-L4tpg zUcf&b#`zGh4+eth>!u|C$AdV}9T(WYJKZ4>Tx0h3j~5#O&c8S>;yimoQIa!72I(Ja zlAEY*854LeA?MnZXOao)3MY-1E#l!ti1=To<4FJEA1~v0+~8u?En5;!@HdY8OQpp{ z5@yk0HY2AhWtI&Rv}qQ<_nD#ZoJ)_M`^JHqMuM>8ravr}>C<@JVUe*7IWuf1Ak}~EMK|!De!g# zJkV9&e`^Hs$_u6lo(Fz#^H{@u(qtv<^6t*X$Hr%Xt>;+oQidte7wvu_{n3fgIo$g? zn{oju8N+zDv4W&KyiClJ_3?CtCz+NX!|bi0Yu;YGm);e2wndR$B6o%+LuvYqPY!Tz zDBw+-fE$?Z2$0O3b%h&l(E_8{2LJi@yPv!ln5OlIs+%S9ZBqU)zAneI@yZYU?!RH6 z;ZcO%H2xQE_2!TjoKV^S2e8ZJ2M3K0`9W-erN+pa0MOobo3p;$9^_&KstbyOp?j&u z>G-A#=4iEivWXdVa)ud~ya75(8* zP@>{3cI2n^!*zkwD~gy)Wm+ic&Pfl3ZxgSX*&H)?^Wbdv~dO(Z_O%laC(sP)5Yb3So3p}sf zbr*DkK&&>Db#%oW_Nx69rJh24o+-MsWS7E_ug__PS!O4=0A`NOMS;+Ng>1M~$O+2A zKFnQW)rZGzX7k=xJ>s;1{MyD1HQY86ykRudnx~g42oxk%bYD`&LU;IGU9!7@aGLbsZCx%O*q>oo z{u#}`E9=`#P27(K%~Mx@yKY9o`j&HbqgDjuJy~Xrdg%|n`zS?KCz0On?PlNRkMTe` zS~|p3?gfpvPr7V&1rR4sNITi-%?MzhxNh$zcLtuFl0Qm+(Tb?=ZY8FEQ}WdTWd)nw zFP)A+GtRA<$>B=GXVZ>-D(Bt&K|qLfsT18F1^Zmjb6byroarkKx(8z*OK?=JJ|qTg z`1i?<(;mi*_@~;Q9@d9Cmxp?K?Dj;y4vz4dZ6<0E&pUO6eog}UTPac3GKHhvqIr?ezr^+Um$$1Y-VnG z5DFxlX;WX8JitLxf4*zL8^}&%y{4}8hwX^FsEZH*tM8)wzRy^KZ}H0?k;=gY4oU@o zQWQMKi{W_Zva)qICj~vvzc@H@jbbDY=_eRVZ5c-*|0+DLbbs9+eEtRDW(MPAFr?dvvq0&~b!V^op z-_u`?a(WH=Lf2gnb?0_NA}{bfQJr4Rz8iqv%RgLy@M=e76ZU^|j~52^c}EcVWW>^& ze!eRX-j!&7BvtW)=;#eGUGi8c_8l9h?{$T}-)_9i<8p$hx=hgNVU6MW(`3f|V3|q{ zG%~Z#Ece+#!~4uJ^Vm4FPqNcTRErr?AQ^oiH4y||?bHo*i-y=yl03FIiy9bp{I^>o zo2E#A&%D2xISI7fr_6L?Rj{wQ#{3Z!(L{WYdb$Q^hKGQ2BhzLCbqI_$ol|u>KpxK=x6rSn`<;UNW@Lksf z*XEGzM;E;a9`5F1T+i|ifc~4w!*8AWfU2yNxga|hwBFM+cd|=@R!3NemXr@j=w=CM z+_41hW7FavXkrLl#`((0!1c=)t}wXU<=YmSYlwLn#c4{&Ae|M*sk@QxzJxz4;ph0z z_XpR9$8|(;y(xSj7T;gP=j-r!82r8tuj_Ce#`zGh4}RQ@x2mL2BX|(!xrD=#!PQlP zuqSn7Db`Mp;9r~6y=Shs-A%|*%!ROxEmylXCR}^1QvT0FsTc-@d(apa2i?YR;)ao*<+%01_)L;Kc)r)WX8C*(+&J)jchwy7r|P!mxTjPM`{%>u zFYUXdu1H^}->rD>^Os1cfBYh659;$ReQu&QaR~vly{!+*PA0*6DZ8WO0r&s>`;6{) z3llo?p#PHmEef;;>dK?(N}`K=g!?wX7{uFQ>MG7VWZ1l6^)t&xh*~UGdtcdJS*-*X zE4GHJ;wnKQ&o)lLtrV!VpUNaWEQjJfXCE+!l);q_rq>f;6(CV>bv8*G?HlUMm92AC zLy$m|uM>9)WlR#h_MzlW+SjWlGViit>JZ@@hY@n5;5@O zgvWyn;;hy*?RS*%!0@wo(P1+^G7aMPou;_2o&yUf#Y}1rr-5Tj`MW?g&$rU2a3g3s z7cTrcv9v9Td`2!%L?)%Ff}zFj9U`}~L4RYOBB!YYWIWWT3zDQ^UMvS4ZU+*S`2P-rz$dt`kHl>&C{vY96P%DyZ3r?0-O&Grt#-PzE@*beZFKBup~=z zSCPE{IvTIOdGsR-Rze%}S)IKgHky55*W_8^+~4%$Sr(@B63o)-s4(7n-JJ>4kF zg;FqQlo-`C&xMM#Kia`&rofkxJST+u+ST=joAbAGfqR&4?XG?fd~KDil0V@M!Yn2v z?n{~Q$0hUa>hUz#C-_%);vVu#sc|`U{(v$lukyJCO@|Wa&#LA4feYyVua$GMN-h$+ z-Ws`~`6nL3@9%<&J_meVOTbReh3K{+9p@I|I|e@1aYTHwI=nhcmK})AiOm>KvF1RO zh%@E$vEQfaahZ4@S^@7)sz;qmR7Crz--i_h^sv3|Jga8PZbZKNTy9wM zXpJSF_lY?-1Jgi0(4GFpaXX$g{7&P$+Kn=hUIj!r%a+3xQ5kHVCl`*7 zg#JCc5eKtzlhtR@zQYQ`PyfEQasoe|8Q3iT9w>z`YGYF(9Z1i4G%vpb%@?>%=d11( zM0(yc80|UNLU^ks;*{830LOC2()J@AH2t4dOOHN9f&AH47M03;F#7HAdz#x2ZhKcW zl86^U`?WnGY}?^j0AJpxAxmch2f;t!`SlXy5d^K9DE6(VS1E-_PDo2OniT8W*x8pCH?ojZV>pNTUHk-%`JWt9ux22~{ zy$M|BkZFHlf%G?Cb6=zgLcTgUJ`L>k;1f89eD|(aeK3rOhq$rsu6Xw0kcr7W)37-X|1p8MW1Qj3K|quU zy3!?DiRK~V&Fz1NB|!I054kYbIPBwAg6M~U(-`BsjF(}@kiOG~TTVnn6!y9?hO4V6(R)U|^=~5nn8;&tM47%GR!K~%?{0~S$ei(Ddqmfl9QDe&%WSd3gwAjbUj#$CH~bbt5{mvO$DLVYqv zG;dtJH|N~eY2-V=l}xUl90%P|twKdhCD3(zA5TVHG2xev`-tIujq4KQ`gOR@3BC`D z?@i$Ib$A~ZzpumVI-C#j`anT!Fp@RMlHfs{=dkeBb@d*kA4LAER72mN;9r~-Q^PoIG5U}c%$_eIR1|@96RCdxrU?dCcE2B{8o}^A=Sz|TI+iiPpub%@3@AUhf6)BhOk?TiQgFTsn7 zfOHJZ{8L;XB@lJ4{^2*HjU9;qxg(8-vQnY=?DB+;l`l5j|0{{sBN;{n4E!#pq{7(X zx@@5w;^U!o+6ILC_#QboOY3MNs%z*tbWMFF#>9JAN@*Y@C2J+qf>#+Qc&lSB7fQ?431G; z_9#H}P8BoihbwM{K<@tDE3ImwaEUeS`q+jCq$rwBJ{gV#$Jk=^-kotUcg*s#=R;I) z55})P74w3z-m!&te&pkPBE7lfV>GzQ>w-La$c}7!! zDgq+oN?&^)aRWUk?xSf}1HeL3EoSRk1boz^j{P3v1oRJnPPhmK0{)#?pK@GeK<+dq znRJ1^pTigF38&9`FbBgmgPm+IP#=3LFf2WCEfV?vcq}Jb20>t$uC`{MK8%C9jMh<2 z;=I7U)cwa&6&mUj&z6|DLcdW3Yx;RL5Or_$l|JH#-8|5h>3YTwPWK6M1}VnC+On4} zgIfa7mXC3;bNeFwh3`3yPyK-Wb6y5BntOP4d`f2!%~yXOer5UKiU9=Q2+r4(@rO)$ z-rf?sC^-LHOJhwY401I-W)J+a1EHSN+3H3iFlD2_aE>JqRCSHJRSe>w+(p{9wNVxQPO#m>>T)y}{D>i|j?)3NURYA5DRL+3yEkeqyN%zvVL>r9^)u&?-<1}p z-o>MCM10DGP8;exHo$^oW@N(oLSga!MxIa)nxA4D%o0NV(x(jmH)mRtL4B5P)+A5{ zHa4hdGc{$gEWh_tpB+qzeEpzSaGgUK-Glyn-nSx>AFFL*;Ea}c1@~4wc-kDWj}ZvK zc(247+-VAd`p4XMWJu?Dlw7*^A{GV;UUVa;(!9ZO;T^__6={ z7h|ficqln}!@X!T8O}e^_V~c)59+tyUEA=Egi~*#+=LQiVf*Dv+Mn#PPFK0sfDRTk`hdaBO zEXNVv|HC^@FIA4$?y*E1q}ni!@4ba|hjVy#q`0RMaYd$>GrIgO1U6X?EA4dEgTS9o zTSrg&L#;`!SYsQSSNs>}IL@ve{kYkk5f8c^=Zq9Iy@`BPZOaq)tn-A-_An*aMnB^H zhL@Z!IL7M$X}lH#$|4~|Uf_B1BCz3r#;OH@>nqKr>tkU_;Cg#@s|Ec%aeUGZemN8p z77SWVzgC}7_`ut7-SWEa6!5sQ*J}dxeZ)5oo??v+glWr&+l$CI4$mJClVmp}B zqkQmo(ida|6oLvUQef+%R_n!sOql2LnO>RfKnU1%uh*{G6J+=8(PiIo!pxowi2Kiy zV}d07iffBV-#hK&g_q}@uZg)E z2YDJ-10}Xpf}hlMJujWQd_tW$jgJ7}z5O?D_QS8R%o#HRZH<9G;(2Sa)GZwxOeiOJZF|J>S^Ao-gi|jT$-b`4%_C*kQ@VhcTdSOWLFV2eu&$5pknoLNB;=S7|p+1fnj^_!rlWhE#Q=nUt zLsIif2rz|PRgF{eV>mD4cq|rsxmkUeHNoFF?uYyN=^qIShp#%Ha)$RLg7%GdNv1ol zz-duRXPw;GIuoj$Qh~zL3{*fFpM^1qK)2*wY|g7Mbbu zHrC5t!0_}DhcViF#OtD(nusoz6Dcr%|24D7)fA-r|NrYE2GfdwMz&<49>D9XTL)Xb z%h5g)&Tn|#@LVNRxVys}!|Q`H16Jl1X6mr+5*9CTY#(;}&-xN`mO55^%)CSDh8=dz zr7yIzUK2~BkJ$U1R3AGnFPg8djr1b8crw}k@L=_J$DEjbWI+<%I5Jxv!CYwG4xLxh zz&5U^h*!v2V)%QTe7Y8;=zhkW7V}!NIsu$K7Q`J*@ohaz|6A8Fsff^F!JLORV~#0K?~88o>2|!iyii z`aOFVGpx7IpWi1*oC*bw?##@FfS<8a3GsKHYXIy07^<5$6d};;qaLHnAx!q}KrQAj zgB>t;6}`SJ4s`J}=`of3Sj=p%w@4`$W_7#f4=0-zoLNu)qbwl?Zu{Dt4x;;h9qB?E z16o7alb@l`ecK2&J`^>Zikk!P(biv%_Lktjo&D>5q5<3&@SkjXZw{pLTfdA_)iLAq z@)aMMw6I+}LXQZJ$zdcM%dd8$I>>Q-V&QVABwS#wIU4Zo4E!45Hce7B1oph-Z#xY% zfjlUK<1?)u9JA%o)k#nT>du!eVVETHJ!TFIt{2A4ICgiQ8?Xcc)tZ}1Bo@$4N9k%< ztOQ%J&+=s-orc6()vObtXm8Wksjy$z0`U8Pm6a*)NEv%zC+Cz;>U4s?ht7vmim{@7 z0GX@%!&#wHvFPB3Om0lV=*m!T&{?=WzYu6CDF6$mVOuLsX2iLtL8Yh5)f{N0Y}v$_ zZGc6K-r^>u6_77pVG>#~2HPzOk0*={@WqaE#coUw()+V7h}an*{fCIBsS4WAeqha_ zd)Nk^pMG|!q|yX(#Oek5Mb&_hH`Z`hwF5XOoN8DNa0PZ1^&S^>cX&V>Ycwop2Jzj8 z$7IDkp-Xf()x5tM(0*+p%}8>9JnJZ0eHRaynR@oVgv18qToU*B%6k%Lkz?p~%ML%V zt8Y_pzGw^I%%XQX-n1k7v(gDGD|%CC9^RdOkGZxa6i8e3?U-jH;LskvLg@&^pcJ}pY+UkBs;{BdW{q<^fY3rOZJbyO3E>@(=Si{T`=~2ZFNm%twvS7KR4Y8gJQdHOI zu-;cEMA>AFps-O#{_hC`jGy!Efm@%gVB_Pn$fGqzP&qB~ghM14vhT0lU#M4tjlK(x zF?#Mqd~*d*-=TD1Kyzb^YfQX$P{*5CEB@FV!+8M58ys(`f{q1EP1<3XmJj65p0|PN zR888ZAQ=#|W9FYeX$2LnExW9$^+CW(NR-h@9-cR1b2V zw26>`d^_W(yHERpoZ&y1_e2UcE|$!*eP#yUtlSK(B|@i^U(h@b&hE$0JW|0OxDm zM-2Cyz;%gne!_K5@O@Z(ZvvmM!*LkrL%cpXG{xYfTk1vdAkK5?D>>urhjqZ@3O&gP zhY7*II4|Nn>wofs{?L#zJe2t8%P?d`;Q5_E#}>NnGgxW=NuNiYry*Ljn9*;=0dQW% z@%Tcn^l;j`5#aod$tT*yJaL0u{jP zqNXHTof=jfklubl+r%macwKaqL&OE_jEH&wudf*FlVuMu=@I;f*A3={%i3jr_JG$1 z&ABs?HLsDc5X;^vk7orSo%7Jqr@Ry_McAj41IpphFEXjY>!o0LsAOJ&rwWeg`MEhF zUB|YHWyju&=U{q|>5P?MEyP`?w;W=84JLijZB=Hsu-+pb2;`W6+(CIuhqS%U-$ae=H%I&LQqm%ob6C4fC%qbH(vts z7vV|?65fIKMuo)gEk8*>ar?Qkf(p&k25HYX)n$P<=amZ!;{pHq_Zxm*Gn)8b1doCk z<>ipBp?{c-w~avw-2U)~fpS3?%h^rJy|X+N4j#b*?A2qjc0J1&eTxdvye$3pjcqLy z$2Qo~A^l##UEi$skkmrKc9#KZLpk96S2D^ycM@M#g8GhDMcTLqD7|ER1l`+Xx!zO( zHC46X<@dbwP(vM*Z>Q#$X4Jv5mh{-igY|&xAFC?0Xi}J*g9ksOj*G@2y@7ux`^?w# zmt#3G{5&aeqs+7g_0d&tzTJiNXp1~49+KS10(Y6)t3~6;_tf#zRzg(~@Ex}j(%X>$ zzeQGV?&&)Um%=1>o zt_79AtwZkxFI_K(=TS9m>=GZ#vmcZJB?=fa+_lIgUmN~lU&T4zE2xQhKb zJ|6M8kbdX{Z$Z5q)ZFwoyipiJoX&KWN;>R;Xnrb;8$?mR=9kd9d-uYjK*5yZNqY#! z^!KqKiAf$@vMmsMF<1u70aAWvcxzxhq}+W!bv9Vd?O|1-%Y&3D(-qpU6q7@va^o*MZ(J}N@_p{tGkKEiP0$?+Zi7GXrbW+r?&z3X%=@w^vvKG79R zR>1qvyzo+_i%wNYHdfr7jA^>xpTDeF0%?=W?sob$z_gv^lQ>fVJNmC2P}|Ca*7*#J zC#aw8CjYaybLbp_AK{+5e-BJlfOs;$O?rI;@Lia{AdbGDf03Wb+f|(pyVfakjh!mM zmQ&Hg+Pn8xwmeenIr7B@?K!)YLY7-GxFZ;gT z_;RNhR`bnRRcOQDAoIHM~cT~;O`5w5{Z0uKR)C> zd?^xQ1v}bfv{AqE-}`+d99!rZo(%T0Q@3e8WfOUU=gAnmUY@Id1cB>)X>&hzIMu^h zEzShlQ*{JBHTD~)f1WRald~Q!c89Y;&Vx`t62Cg_EH#IIV84nW<4J~cmJ(hstSWo z#n&9VwO_86&+crU2U{dn%Y&%04&~^Frrc04Ql3xB~ zGUBD-BU5gsX*r$HNt{<)KdUd_mFY*l@hqYrd0EC zpG+crYyCS{*^>?@^Iq@yKV5yChuv~-zG8lg`pM~vdw-ogfiaZVTexNALW)4%MGca0 zOuKVLqLeoe?tPc>3v9B*LORV-Md+&tT*mpTS@F#uGtYde*n9rIV1OGiM$~>veUJw} z?7_pkP=8aD>-^3}>l&C$OQ6GEqxpxbXHOf*iV42PebR9sG2C|v=O?c!0$J39>jTW|4DB3>-q&iR&pl&Q@t(0zc?@AJp1`ffpw@)J=py5r`wD{ zI->vZ{OK^G{>P>|xZLC<^%nUy8KzJqM$~!|yo}@VtC8z#k{99${>E{iiH&?W=b1tn z%34i~o2&to8_ZA8Mj!mkCQ*VRRwrm^vPzrsN-$}E!d~QjJ6i?# zJi#LMU)9N{Xb$Issvm#%d6@n1*sew*9>e1~PC>e4^F=*qn75P*zO9F_3MS!U?MA}4 z!dF4Cnz6D0DsQsoY(y3ir<#ydMae23hM$FPV%5rd1yG^VwxU&10td@Zl}sq-f`P;< zw_U6y@G7C{^Y?}l$di)~^$kh{wwPJI<}MB_T|GbK?lI(h70>nOmNu$8`p9xc%1Ypa zJ?+kSYb9VOSv47>hUV}>9i7;0)w26h{V)}y8K;CtRk)9QK= zkflHFn153O11*)AqI|hhgxyHHoPeVy}@B$>VXV!ld`Ls zMtTabZuGb|OH{zEH~b>aJSo8Vxq?wwv=H!l-QDChT4GUR(Bw8RH0GZVH4|Sposqta z#37HTO`NsBp7uk<{dgI8ty-#yzRCj~&b$W)6+NKl`Pxu&TNrV+t}JSts}6zyZn2Tu z$X~BNtpDYk)M&_i{Nt^WZ5Z}5&LsTap#tdBvwb0Vpb9c~MfY$Q)WMDi{CAGfAYWkz zJ454-`7j*(B#>LW99LcP1d6Itq$yWMemc{9|Cj{5|UA`GKte?qaFM= zOMvUW^3b_Ne@xYhgZD)A{>E3g5(4jJ#oOz({cDIgXrSWj zqYA2lr5{BLs4M>Tf#(Su zW-b@66hq*;s*|ZmhIk_sPvscpQP&grWU}oBF36v-zKxc#63y%8JQiFhQEdcH1CsA? zs##DmI}py(oClqr7E4E5ONji@-E=8~u?Xn6satA|{++($F=`2)M(Fo1_pJTSk2!oO zY4Ahyb+;nReg$lY!_IX5D(Id&@YW5@ONXd8ovmW1C3pbG8ys)B71ACpOq7Ah``4$FcI3hrH~z~{ z8Y&>Yd?Di4^VI?RnXbL3P9PsnLnXQaG#7WUXLo$haxDaLZB47heJRF@Y$7tYtuUE4hJ z8!HGOblgV__nW|ViE;fpT;~MehsALi=R>?c!0+pD9>jT0@MJ~{V^I;@Z=d|pddY#{ zUz`_lp4G}{AHI@^{1LzFj1GkcU^t#%40KKBeT?E+oij%m=}(@mOK~J)@gjH`$780z zeA#xygE)WVxIagE^Y0tiVi51F%FjXmQI`Zm-hYjcffu!ZWY{|L;r5$tWom6SPq(LP z-TTf_f_Hq~&B>pNB?59uG+C%L&E$x5Zn>6c)dH}DlxCQP%m3ZAq@Ecw?1m(D1ZJtTO@cKZnn&u

ItYm0G}+m<(DI*G>FQGT`Zl3jL@8q<1oW zlO~`!=B$3Tt8$26V&?j94n4^M<0iGfcDFn*;C`Ali{`rU{&`&vRhP<(SomD0^sw_= z0+9F%oV#C(_TAH7KX?)p2lsUcg<6%9;lT>EWeaCAyqqD;??L-kwaS#{?_MWBU!(N# z1vC$K>+?(H%DiZ3j<-Ibu*Dv|A1bq)CsboiGrUO1F8ua1Il?lOYaC;OfCAU=xvO>JBWy|`2f2T;e{XWR* zT>yqVw2w_G<%7Y{WlK5aONINi;PK9Nk>9zoBpLA2#7E%>i-kAf=dQYQOPLjDzyFbo zP)k5IXp>tT>}8IJMDlXhzO!jyFu=gw+n5C|V{L4=-}yjMjIej_z^#E>^!)97Y`MS@ z+0R&HRs=b1G;DcDSJnCA*KxY*+2E2>Iw=Uq|95m+)7q>UwAM;h#Tv>W=8nfLH|l)o z95Yvma?FMfhGOx~?nE><|9SjMeljpo?th>q9}OfII&+#){U=7+r_6ULA9i-+O|V}m zhM&K89O?7PhIc<}A1cKp!@#K8#7Fl8P!|gd{}h-6XTSA~$nHvl$|7I(A?G=?<%U=-Y%EMs^olm_@7)`j28QY)Wr zpoy1HOfqs>Vn0&cE;!* zF~k`o+1Z+b_W6oLzrJFkN{4Dbqa>M2vA|885Xfb&fRQqtP0F&#fpP}nXX=^ACwO1b zJm=10xVcMpL{>fp>Z7_HwbAp6F3ahEKvc-Y+tqB&k&XIgf=f@){B7w`n`g9pkzeKg zQChE$B_NTo`1?&;0n~@^Rx$J<|94gO*Lgd#z>#&d>)K*2*c6-?98y3&oTNsh2ZN#@ zt?o#Hba)zZ2D*<5=-K!D0NiGtd5aFk!c&a}_jsfyxi&+t7nhO;nWWg?{`@T1AL^Pg zC6{)ovc+iH4Tn zEh4nsXg}#+oZ~oK+}1i}qJi{sOePMOJr5=FmEu<%d3B8mECggSc~cb;@Avo*xd!%= z3E)HBGBsKkM&t#aCzXN$Uog6G0@qcBp6ox1zTYdn**Z$^6%+WhY2>(iJ-P&_2FUJ= zS|i=7r%l(mb;{v=Z|aYAwCC}$Y-Xg2Gzmhg6C*ULy@~vpdBH%|sNe{S(#a78B(dOz z&EJ`8uYk&j&9~IU4r6=Ia=Xm&BH!>b)2}VMXdZU9_Q^dud+fJFyhoabJ1B@v_beT$ zf*D^mt}s&<>^jxUAYHyfBEB`N-*y=k=fj+=a>W4)gc~ZPtQS2q2_C@l2FKg^gqC@y zRHQ4Lv~B+v^`EA{8I;>B=K;O#iE`fOK9FioCE2u|16;Dcp|vcjApg8uymd7X?ah7K z>mq!T$Uh4T|Kk^t-Y!$g;5|8xV5n~nkZGnaf!d;+^rxuK+#->Eu;Wh}u%0?qDr-4lJ-=)w|O%7pzIJbr-NHXWGCn1-lP|1r7z9?RYi z#LNG18Rsi%_ATiWfF*McaceeaW zf)D-MhB`=J66fold#|Yc{0gC8VbO`#`zGh5AZ%L z&VxA5+4+-R4;9aW{;Or=^7D2C|Khxe^Xxm7I(pOLN_fNMJ8Ro*N8ov!>=M^WnIiC? zw*{e>8Q@?{)^fx?mf&R^k8}24ePQL8Nbom~``Q`}<%&+pa8&%!p8U)rq)#pXsq3dE z)Sq}KHBgog+A2xXF?Y}$uR&f$`Xe5KcOGZ6>@h^T8Go(PekAgh!_A%i{K`%~aNtP< z!`PV^r1yVoItJ;W;C0dXHMCE3q84VB<+cBwMc*O+>LMEpw}&Q4$hY@jJ%HC&+oUAF zPrR-q_zkZc(wIbpYoEDdcwLYqbLg_Fl>(SK9Sh;uFu@diH+tPK+F<>8#wS;<1Y$Nq zIpLP8_L%6J_uXTa-qjW4jMAbap+QrnqH!t} z4J|G0z4zXG@4fdPA|oa0uB3$$rKAv&CZ!bNdwpLo_x=0Ex+9ktJAk=dvmG?X$Q?5tU*UDd@V-cq8QYy-*ljS*zJogh zNKLWT{pWZ%_nBa!t7BhPhMcgf8@8?y@6E71@7_<7Y8zp#sVsDX^|n}e=WVX73U!QR z&up*VZyoITq+*elz!mTnBNfVWHh>ScehDWA&O^vx9$(iJS@>U{|1mPu;Wx`w?338e zvvr=bnC{As_LIRznEk?(wCWReNGbb45?;;&NHAqT<4zMe*9ckc)YmZUDX|%~mll{g z)yON0Emv%-{6~I5h#scU#Poq7-Vwv+fAY7~C@#3zVK4YxeGZ<}28Yr$b&FkI#Q8IC zoh?;DvOV&+YcTIGbj1Q6F1%kja}LA(_waqp=AiUvQhH7dU)@SsI;qGU0AF`74j-J# zRfM;S!d*oFcI=a0`j?xe+2)~!!~!HcJ;5?3%g$~ zg!M0I!6mYKYqonY9x z5@UBXhBt-x5Bl$RfwE_>EnB=zG0z#P)4SQtFe47b(`ny~uoqPQlNSv&LBVbxmGPB} zKsv>zHWO|Pnw(6xjy+X^_wZPTz*n?x*`-y`aCgA>lip(*V2c`=-Z&cT~ z!BgOJ+rm8I6Xki6q+1@4Lqn=8qi+E=!rmTN>imIhkfNMi@e(}X>%4RNkvXi4pJ0e( zvV_@0mlt2HY`}OiE%veinw$BzO86_A)+;zd$+M%cBX`)rMs8qagN-{;-_7$F#K%~8 zK-T*-PshNM*vM+)ihv7Xcziw{izqYKMY@D9|3sE5(qM+xi)FNw*Wjp4aIk)yD+E7( zJ|O3+2Ok;FIH^x^LIm|p!0KlW5KAvBoSrfu@^yGqVGmQ~H4J~>w?`o_sL=vW1l!%- zxu}V~*v^aIm~(~HJ5N`iXSe|K+zaIaZyjuxi*MnQk~B8>n77jnGlnacp?pk_q+x

BtKXbK}gU$h4{i!udpX&^l=DnjvicB$vGY>d!ez3;KE#>}b#>hj?`!nOu z%Flz^aL}kgqBbZwZEn#y86&^F5$hOsP3%clyok?5chtZ9i}YiN5QL>>9GPwMgre*{ z$0C%GAKgD3G*L^nHudl&@a|QI(0 zaNAxN(%iI$;?0Pzwj>?Q%=VjJuJc7A&T*X0DtI@1@Qn*rYovD}`_Wkx`_5oLsFhN}GxWebJwkHv_+p24&aCT5sWn)5DCdMmIAXEI zQ~~~{>|p!F;mEQQBiMH%(9^90>8H>=xxW>x4_?cQ13P|L5%E2zEhAd`5B7QG%>*N{EI(6&$&cliaiTyDLR;Fh3OXx-+z8= zT>9Y~!A7xeOE?nwN6U}O2`lUr9QSefkDpG9`oDX7#T35WZ@p5Ad}~_gjjJbR)CkTK$ zGCh@p=`MsnEbb$Q`%U1w#JGMPj>9+~;`IUEUx(kr;yj1fbz7fjw~tx@R#I4|RPyd*Vv^YS-4 z!1)`;ecSYF>g;IVU=HgSk-RPq8|>R*0lOVAKIXhSttDM(7dU_81Dg@-+%t6|H(*m5 z=bf2w@rFSbQ*89-NTe$R4=6SKGTb|9i7j3{)^=nR_2r+l*V^S~h2eG4Vv%CWih(nH z@ZA+TGfo9~U3C9Nu4x6W9Z?V9^;LD_uf2!;O$mO(>xS0rB9nQqYyhtdPTsqeWEbWP z^BjYM*TETwHG|1akh{tyj#$$%?WJ2TS@dqyTZ0S`MPH+Beb1Q)b240 z0_(Jnp5ylZup{}iyQ!8Nki~}nzJ_$XswghCny_94eBShlFSRQ5aSQli^1_=e(*-h9 zwcegqcZECQ>YY)%NO#J+>Qt1M3sBmAvtK{y4(n72OvTn?M%5Xz zttd|B$l*Tvw&2h%1=F&lNgyb-x*nhQf>1n=-new8tQ zZG!alE&J`)mgl3+X!pX&hly$If)w*9fe_=9=3vWlZKc+tp-g57-Q9 z>D|cng+9iOGo}H^$DzAW%*DhDo~9d-HLuu%aDmrZ);V8Dd@=p@lRug-uB1FXj`U$Y zeoZf|B)fo@UeQjPQ}*y>pX$otQ;xtao*=QtZ3%9#`VBRxJ>evMS&M?67o3dpi9dnv zJxTp%=OZG$;D(RGLQt+P!t)a{ay*U@v=I1Ib`R3sIu!cax6d8v{U@FZws(Wz_Pts2 zsQwuq`+b1j#1Whq#KWzHyddPdH~%LMFZg}gLx1@M`sZ5Wr%O>>_W(7{eBB>c)yx`RC>;`pSS8#j7+8xzu0n;393;r+p;O)?-vu5mO z#M<_~gW|@NF|c@NCNfRh!;_ayjqha~AcBWV%Xb8@XUg-bw^!ZZx9}hP^e;X@CiOm& z>Z(8dU>6fBr}F^mC$ptz_qYK|C~sUA(y7{%VYC(~^8f>yCx`BfSV779R!qoI57^K- z6W&LPd~QYMOBjrNp;wmk!v0L;pYn|M-SV_I#JFlDl5Tqf$K+>CPx%n&qVYDTk~0IZ z>tX(f@4FEzmxDZ;y^k*_V2iyU*RMh_c{}NN{8{3DcEtC2c0K1wOx#uG`OR);$Sr?n zSr=j0kLbgkACbz%~j{cLdpD& zVT!FQ25HiYkaFgG(B+67BnzigC^-fb`0+7Wpi1GZ z7Z}Ho4 zN>ANjAm^m(`a>s>=tw+0igeC;8D?hc90Ne@JKJoO+bP(P@ljhmgzAugI5+}D5`w1c z1m2w`4=mi(A3($bDcY!|eGPzxP5GWS;bBbUg81KCW$vHd=~NQf!? z-VS-g(Bw$OIgYb6%A{Y6PkDkxQL70>vj&l``a?DztS1DaX1H>}Bh`!ezVfB()=p^N zM(yegg`px#A}{bf;SH!Swp%nHaJ{WbJaKPND2Oxrk{>$nN8pq2Y0c>4**-8?=uop@ z>JH!Nhb1m^g}`sap}&ExWNViN92#5ov6XuZ9OoIurQau=LAph zb?_X=Lcm&&w8#ANPRvjz?$wJ}q%UeTp~|;(32V;J`?>eIGS+G^DMn6v5qyWI76b&s zAf`D+^Npo4_N{cN@t9Zu5#NiO(=>MxUfiGA7&@Kr1%WQM*SJo*5G*?Dr;fn29)&e9FIeh4(8*ME4wK?fkwzU z&}~hR$iI(W1?9D`Eg`^=%{-mm3MNFga=)db->XANO^41CvSstKCiOjGUVU$SB$}he z`RN(co^Zx^H<{W9(W@s93+sgKaLw0wJ;uw5PL|Dt8>ZabAp&@drn3(w9os; z!=gOczMr$mm*ypH?f4f?IFQQeK!td+s6)c~bDl89H7a*y&s$d@?>-nBdQuhIPBzuL z_4pCEjPuoWj**V9nmhQ*Dqg*i^|6E7>dd1D&t2i}Qp0wYuMg@o9N`qL*Yk^dvk%Qzl~ZQr3-uCXNe8^`@ShM2ify#Ab2OCQ!2G(uNnj;xqU5K4T1307qvF6+Mt=mmY6bN z3Cn3Cq#xG&0k4aEVQskgdl)=9`pK~2TQE@H)mI+LX^-2^k0__zkZc zqE`l{mt9pbye?3?H^#=jk_jr(&7X|Avw)q`iC-M)t;9LBSWgA#gPv7&id$_yIRAO~ zls=^xmfN+Wk84GPfpcnnU3?YnN}f7J^Sc~wbMG6B5GsUNUhT?edo&-QGa0TV6-VfM zaGsI!GW(DYlu=7TV20)w_$$c$Pv=6Wja97H?MxUv?)^bmA{*2m9jDnmmks{8cVfaP zGC+AxCh6RGI=uNJkl~e-4yO&gSZKLof%V4EfW+=Nuy{Pi(M*;G(oLT9z8b#&^Yfn> zZ~Z1ckO!`+@@+S<91wOv3c1GlaGj~A+@4Pe!{dtfW0@qnkHh?5diOSW7DGj`i1F;x zGH@?zx78-igW}ljM!)VdczD)U$M{Mip<_p%`KFhep#=KnN4w=N)UR40KRf}{8?i7Xae}^ z;%QQ&upEywo3{@^!?NqoWpnh9fH3!c09{Esw5$T56vid%L7Y^JnzG1F9 zHX1d{K`Q0 zO}HLru6as_mz@rT8s-P-?8$<=<>E|?d}**AtNf8Wpct-F{Rxji@2UDEWojY~%>xP9 z>-^bm2i_4aLD9@ex9;Cce>pVP^+yOWrL`D7&`pChrmN!*(fwZ2Gk!tl33p8Lx!du! zSagu{eXWLvx&$y8p z@XsP41cUi>1t1|;Gzr5GB;Ft^kGsC>|^Laqo zbyk~awE}1#2T~py4h7bsdP_6SG-6d94OutcTL_Z#--bSs+G3yBNG1k&oQe8QkLKX` zhL;CMcCg&~VrmNbJainfHH|0Y)5%3RqniSJv$m^*s@4Iw} zU1t4!B%_+ZkAY_Mwb32LFxB*_U&^))sMj-W4^hOzF{54n9q2x^Tl*3%+piK}G-T*> z5GsZM{Z_|Q_Bmj(ZjrR3Ck0Hx={v+w{#(c|6`fs*18HuOlgVh_=~WP;s8qiQR!gn6 z>Ys`H;{M?v-x&Exzlsb3?*u~^k{Gf}i8#pBi~Md!RSIfjDW2Vp*NM3LqscJ3L!$`J zUD{drS2`T#6#_yw^^@U+@n|epXEG7zIL^AX6dCyO7s8c=P`UkYqKSN^cz#{FzTX!b zqDT||lK=O8og_7HkFF;|-g6%wH-i)+FYr9+*jd4+PJ-@l|KYmY1lhVd!lPc_n+D{4V?{;K_m` zqE?6Uriuw3!0`shTfy$;LrS-@A?&kI=Hjjl5ah01(b+13!MZlPCRTHZ>|z;uMVSjx zj3Q_Fex<|ZdnaGe-YxgdQK0~90|@( zQZLPFzWoiu2!Ggr{+hVo1dhYFejToJg3rU^Jc#$#;rFokc^%HbI4|Nn`(5LS8~wE! z5J-G~%COiN!|~iTLR{Fdssawq4fIQV%YjRr8%7>t!2~bkce^)(IN zUz8cj8OR1qCt6T#IR_Yh47dwNvqAX|ZGDGsJ_ww!96Y%e1J4{=Lccne!TlV%!=HId z;5yl*@*ch%sL9~>i1sOj8$WGHDVbvl9XQcrrB|6ze**2dUyY2Fsc@&Ruh$ISizj%V zH*}*;2gZixJ>v=K@XCi^w`W&-(Z7hg8t#}*C+ z^38kh*+;;W`4G!#)GuePtK@$AyvP6i{BkBC>?Thp%(l6ZQ6t@DBhPg|EsrcnuNwc> z&!COr`-SHo^t~6_gE5UYs)J1Jc@Q1X@wR6J=??3!-7v1pfvkL`)<1ho;PiY8|7?67 zp?93nR;(zoy8vje+^Wag zK9>PBardeMf5n5Z3ICFJdOrM;_E?MgQ49@@(b+ZhLITvuhm~#!rNR+=T9QHKG-z%6Q?QDBT)c)-r+u+3@b|v=l&UcXM!FCCYF$nN zSMj46tnYJRW}?}UF$(zuR>rT|{Z1qNM6P%4s4~mii?M8;nVj-Mb9bGuHC$_xq4|5p zq4ktJNPcKk-c_9ioa{rl*#lDm!YeG(^X*_}r^?(_1z%#tRFxg9B0M29C&=czL_GYY zGF2)U^aHJDb6yeF9+-YyUrcpQD$@NR*R(=Bwsp4EU%aLW_KjWK74jk;bliku8wFA! zp2^rZfxZ;z&n{*jj?Dy<{?BU)bHSkFc#eL^I0Gb$3#@maEP!<`8Smg8G{>&9mu^>J zBHTH5W^<1K(&uHbz>FSd0PpGC9&Xzbpr`zuYqa1E5x4aYnYqLgYp~`v*H$u$YpcE+ z0aNbSR$C&&jbb;VzVl+%_pJ}}!3;=*YqAYvA7Gj`GG$=R_t2XuK?#U!W?~a)@FVhdR$;gN zQ#3@0zc2Px_!d8VK6rKIMcCCB0zJk40~6PxFvi%dICat-5Pja%W%IlU=udNvYM}lr z=9G_(0l(t`X=57nF{gl|bilr}1LXvM?6tO9e*PBe^ah`G)_z|BtTY^_1ZX3m$u?x> z*t5JEcnhjX)ACn3^+*Q zPlqq(L*^A;lFy^2*z0ZOJBxYI1P&Iru7qAheS$dNWhZ!f>~GB{;^29M=G7gYdEoZe zAaI&g4 zDl|gd)LCes&bXAbeY}*wr~HLmHdL*L6lB!3c2MB-t0i{#N= zNPk>hfPH0kERD#Yj?>3_CCfa)yN9l2!aN%8>@V&?XSR>Dd$iHAvKgEpt)Gp*%{7htwfj;H$ zkN)zO!pM=_;P~N8xacz3u5k9o}T@mA|ct;m!jgxe>}WDH{atD`hCsC&90nS636bGb^5d4Bn=uI zAJ#~y`CwkY@<%ChQebaRP}Bu#J*>2yN>fq^_5c0DWt^{8l0Ba|Zl{4RQ?RLOxG9YE znLErzq(Qu>om^8@E;Ro6$vKN~zqsmm{K>gk;60%3oH&w2@bzByYbX87bHM%Gqq8|5 zl7VOa&(LH^G2r}U^ikhF%_aiNP%D`U@k=6n*l`~*+;0NcCC2sZaGevJ2l2THyuS{= zhsF69uj_E09c6jhCVHL19M2QgcIk8Qq4@;fWy=c((45_)bXkibH-eXO zJa)JJE&psIoZxR9_xrz(@s!%6L-E0|`*Wy2HLke+f)xq!NBs7lyOTZ@29HTO8Y+jv zW^56|{m+5~?;N{hw%R0%&a26rm~_$kh0Sm64+Rnt(4FJIl;s-(UyqEq94N^Lye?w% zSRHWPtbkiH?WAHzmjJJezLc}2AI&Nx>H)mI8kF4US5{C?@Ecw?@YzLne0v{;;dMcR zI!jLis^{hubwr~cWdTFMZz*}CFVM&`upEu*wF@<#^z+B^A@q@6skdw)+?G?Ovi0!? z(LI+I_8+Q&I^+9yA2(J)3m?^?YCg2z{^)PmoQdZ6Mr8lUhlhd7Ki$Euuy@WBXy1~g zofu(Tg!J7rb}fxW8>^f@gKFi_g`kftpSCun9>9 zi0hANpe6_!!Ic0e%krXHra(5$!7#7(Lp-^$>FyVR^g z71|H|i?>kI7)Kuc0>JgPxu`VOU4n{{uCMZ)j3@PQGWp0~jdm>zpYI-ZP?ylWQ4W^f zz--)B2Kc^&>4w569a#n7b3(!w4X>LoW&*x)-Mw$hJ?9Sini@>kYKQb{Hiws27ibDW zDkVGCo<0p2_e%**vgQJb_EDv&u>!am+i)m9JQUu|rWtQq^MLEun{s7}MQGk}^V`m( z3Xo8IKDQWG2=cmaE04?zfd#td9DTDO^$Q0dWqSoM2!&sF8LfsT*>P%Lb~OL^t%Hi6 zGau-UmgDFzWJ1Mr$pEq6Szy15f`}osg^v+!_x*M5LRKtI|44w0OxR*HUqk7_`vBCj4{vucy zTRg^$&efcw`R@Vqdo)MO6Ne+aUW z_UFQ7<71VP@u{es{(lP#npxRLq704(JeTaoCYt%S&vKSSi*d5Hhqm=9I^hg zOo*yQ{=j}*6QtvtS;!ylXC)`9JNExvY{*=;!RnHfxyd;T;KdAxH5iw|=~H?8CeZIC zRl~wqDTB_dRTrvua_0k|!A&~4nQE}UBbNC2Tp>8zEvGvgj(i#@WOw(jAiW&=+FYNG zO6c0%qWV6*4AinKlD|R$#N7KXl&*y|{80^YEV}VgB*^Fd5yu_~|w^ahEPdDYN=yfqo1!lhlZvmqJF8V0eYv-bidHj8=H2o|ERLQ7?BB+vx z_`Jr=d_(C~JiHq@zJnF%DCE8zl&f5>f%m`J%bay9p!+S;+2X1iczlgs;eD?R@JLfJ z1ROPo+>o;}PotxVd?k-$Ilvl&aPQyy27Rq!El(+jJyJ~4KQ5KSjqUkvKf@4ANJGKQ z04sy91$=)NNzgpGuZ-ZZc`j52@9i`El?g#Z-m|3^nebxNyYE$79f2QKoh^6x?-fE9 z|6L0y%SPC(YF(fdihLF{Bj=sZq=8tdQpn+=GUyDpc}1OE0s|%#ypi#!Pq}~l?A8L( z>rkp5GUdsKGp=_tIy=(fZgikr-tls%%d};Z&9jBkZ0$V1nWr$2fEpC!k4Lg|zbac1K z*pZJko)>tYxK8ipV&5H2;QB4o4*DPGufxgQDi>XqDgvM0pNUyy=&OKe4l$YE=d(aX zLO!!Xw-z`P#SRsq^Yu;nCH_OT>99;~dt5L(n#dn=GfwaLE>B>h(&h1blmw;)XVX;7 z>tHM}Qi8Tu7`yIMdo0JY5XMxdGA?s#gHbV?Geegj#=Y|l>+7G$=lMdul#+KHtXqF~ z4x9sf(LNC!SS|k>y)jPRXTK~ zK4htq&4G{|jGTYj+tiM=R*(JpT>>mk-=pYgwId>j{3^A6YG5 z`78tO)c=nCx*PrXxzo0L&^{i=4I^j6>ej(HnC$-ajl2=ne~Y{Se33$aM*nzt$&Nj* z2i>FX2%|YD;cyNM7V`uK{Ze>Yyg^AKi{|`P`?93boGTZD7> zxr^%aTTb-^zu|Sm=$!|x2iHO{ye>Ey;h7rjxgZ^SGILiis}&{|R>dXc?uhYR?oqm_ z9fDm^dOdor&jrH{?Z^GXHI7&WfCW6E!m9(^%#z>c?9E3}H(VAk@-DvrGJ!l>-( zu3W|(u)_(zPk1=kV& z_`!Hn>ZIlwEaH}`gn6qB{IAa^qm-`bxn+X2JdN?UaMr~5>Rb0rT(`!q9r;WCVNi>> z-;Z<+`w@2662x!bc~Z}4hgohd?_f6qdYcVc; z=ZX36uD;!MPa1}dFMS@I3L@3A$Mu`%`W1|zV>E||q+)HW^WvGvGSninbZy^WlOW)GU zuA(4})~a6pYp5AU&9v{GLAni=I^Z_%pQ(Wfu~o2jJah$o9i!NZ-gbsy>A4v-4rdtcUn#v)<^uk{Vcs&B0F)0tb8Vw#z&LI1CDT@30nwko^7hj^ zLE}R##O0kfaEA59CBI?Ep3C%+RbKG|egjdah#GVrn04-Wbb&X#_}p{3>7*@O%X{_E zv@jHQI(>ZUx$N;TT6Lp zUg6+_E~oF#z;h(%LY%xmQQzI5uBcq3_Jdlho8%tGYFGdXt6j?2ISh}_!5Tm2a@lY= z^v3(0>-ag0S4j7MeWNrajNYZbTImk_FSCx-%8SEi_vnW0!cpn@!S%DUS=XRFsOhDW zf(enYPootX`L|3l{C)2!jqO@_X@-1-9>0pRu)rSrd#K1&c*EoMu3Id~Ki5b%XvgPK z8|;?ox8*b6)v*0hE!<;%#?UiWG)k?*j@8;2Q;sE>0*)UtKe_pf&AhN*4%v^`?;{*O zVs$c5%NdIz6R(+2aK}`WJ%s$p_dxWM;#N`vIqW5WI@!Jprl8R&G9B5Y4>NxsPL94a z#UekRznBK zz~dlZD7U*=M;Dtc?>d`H=K^?KeKB0r3>I>S4>xDe#Unoj+TG)sFUpLt1TM7;#?jY^ zILC1|)FGw5UDyvBwEU}TDWgW@>w-XU$gXiGtmCD~XI9Bz;`?5B`ukbc88euxJ6hOS z?~dVlf#-=MsfyVhG6TSIz4tYhl((i2{64BF`$+vNfloFsmz^ZFg!bETdg|TFZqQFgxw`7&NALiSH#pv&^kNP(@eRd3 zTFbSnpK*paP3tv|`7-dwlEHhX&lPe%%r3k%um%mT6Bn$MRpBK25Av2&2drVI?(6Sj zXddog{`HLS{JnM7664d^6FYm|1)FtSDYW>YhE-b!|E)*!6+_<-uKx)1#+*W=%@6gd z5d0(|a`8dfnhB)X`uycS5)4^ebpDjLfWQsIj_$CtktZ>ExpCVhK@$>Tma{90{4>wEi%b$ zvBcMwx6Lhuu+Oq#VmljLv6lAeM=vJzLF()C1lB%NkmUGTEBWgH!8`Qn?5<{Gj+h;F zLy@G41~&WomG(Ppdu-sysF3;xb!_=|g295ZJBHUq_tj~IViaBA*1j)uyytX?y6Cq4 zmpCs`Z=xQ+>#Oud{xkiRx`6W=UN>Ndj>>DJE`Zks+fH&vN97X1R@33~d6hIUX0CZr z(1~3rjX(W#cRBZfhiUYnW zNFU+;!Nc9?9CS%uxYouPufQB%Q0$bh`U}ECZFguq5V;4blXf_b`)~6f^ z5c7qdOjqK6oR5QvSVP6i5%P%3l09@DSsj;f< zSEL7kuYK1;SEID;F??MaaiNoCOMuQj^0%bZQ(!e~#DMid3^dox^75j4Z$I|YD@T&i zd7Af%$_~B=VEJ92w9`)(8`-K}%ea{WTptb2T`5L-Y&Tp&$}TQakYf=Ov%oDC&_9qTxWn zAx-4ZSaDo$KL2Mb%!Uc+J>ATJ>g6R3ar!KvxMRJh^atrRQ{IcaD-r^w4W7a4WAWf> z$m_Z15z;$p-Jz3}lnK?>EN{?7+I^HK4+snfXpRvUKoPltvYw<~- zzdaoN;x(qa7=&@!8RtIThkTsgx>tN?&j6Jj2^;pia^b9KG)a|x47A5z5aqZO1yQ!x z9kU#yhibF$q7>Q>kF%7>czKut)0Pcyk9HKKo#0EFL;B1HvALh3(E0bLjKzpeQ&)(1 z)MKR~kp>Jcl=X|~yvN;-TtQeP4-D(Pk97+eLQ?2%YKv=O#2U-z5GK`<0^jZU2J_3k zu`bpf$L{Jx5cjjv(vC-|DI&1IPmIUwjN)K$E%~0h8~XkJ#b@08k-j_Rp4gr80*@tA zhPPE}sE>}Z zK<(@0_ec+AeTao42K5`mHdpv?2I#dh8U0mAhN0cN6%)K7P`@~*9Ckeo{uF3elZ@zt z#@RqWo7!Ahd$N_stQ>$%OBL!W&e;(-cvEg7p$_$L;CM%+r%_~#?j`UzD2s@$F_O%K zLZuLA;gB*Su8ye4b*nBW!a-%u#?IsDdsB$7gk{E}IUygqT}*LAoZ~n<hxM!0o6ly*UEFX4@g{~%vz zJifWNP7USRXTk?QVMg1$NT`~3x;(6yPw)VaH#pw5w!Dz>Nz8$7waHEakHTR8VUYAk z`jit2&TI=`Z7>B%Q=UMMSP*#l;~M())R?r1v)=kjOu$Zr+^+Maf8i zWZ3Jaate4K);7A9mJbw`nj<#eNl;swLE(*fGT)5A#{w?~U41$NpTP*Aw>*Cp3HDbr!W8M;p{E|1q z7NkO;Sy$m#4ANC*>zv@2M(5b?1a(NXPUJ&#Zq*mVoKT445jS^>k0bax=ERB&i!16M zK0JXYZd0LlikI0XC=+mg(ymEPV~9w`W|+Hrx_+j>sg(y53dPaj=zcq%7U`McIE?$l z;yz-ye-N%qjPo3>TZPZV;{1#E*WvfD`27oB*Wq~XKy@tSQ*sfQ-4Hq=PLT@r3F@7< z)Qm8kmvKD)J-WR;-swW{H;((cw1+r@PNTllmW}%uRW7&$on_t05DrbeyLM#$hz9kL z!tv$FV7TXXusk`6mf#&FnS6zY+hL&pAobKhTrvFU@F)9=`V@Z12yOkLj)S_4qv{e! zzY(vCl5HbgBxz9JIH!G0LSGS47s-6n{z>OuK-2?xeN`0o;@np=)VK1F-|)J@(oQJz z5@{rc*9EK8ychkX(qS`x^?|{GOsL`-b$Q8%`ipD)7f7@6;j+W7W-H1(@cPxvy6sQ| zhALm{OLF5O&fvLTlY9k)*dEK_M(2yfBm7oN9zth7c2u@uQ6h&kwS4I4e&J}&)}tQ78~HJ_&xAzeqGi!7=2&aAt9xb*Npa(#6AUf_@7*>hpeGR3BUtk_Q(Qi(Kpkq9A{fc46aIIz-Ysd9#&x zLFvz>5?Wm`AgiY;cyu%ke5|;RWs9c*jss9t-luXk2b%A>zU321g&2WbrM}1Qfaj%4 z60d?EvHpz`oxX+Uf9+3yo!bygfZ!gnRR{ebP_S9f8W!-zvcK)MpPx$us^#xXzb+R* zecBmMUglEp3Z`3^bWK5jo}#_qkOntAI6TMO%fOzcw!jh1W9;9c7|i+-0z6fc<>Kh~ zYwNA7zgSTSd3UUYDjo75q%o;cfG-jF(c(3SPG?KiciLR z(R}EH_IZo=1Y+fFU?;22K+nHK-7{_CiiP_v+qNY55cOTHRFv=ujXsV#x=ila$fzR{Rp zr0r=H^<0?uT__oyEP->yhI_1#56d6VGjZqol7arS_>3p&Z}ccQ)c!}cg20bgCs+p( zSqkC%P>gl7P8D=a)*mGOg>>6;_o_~Lqyvl4r-x6;iy*H0+*rr10>r=OE9<8-;Qb%J zo@YJrkjwtM)_ET3cyBaOtD*UWb4x0VFWZYi?dZTI-h3OZg+w=}-71>E!Mk+tcL>TM z{l9;BHyvpbSZ{)SU;f3x%AV&25`g}`_=~%r$ZCnW`onO`vaBEnN&>Hc&H3mLL&7aL zr$-VX!{zV0G@3*r&T*WrFSM5$-CF>%lJ7L4M5Bm&6}e4Y9g!OdUDPZm^L4X`@7qZ` zz}LGN4Qda>l%4ESh`hk_q(Iju6FU}6;QB(b);H?u3W!qU3*8JaBk(DUB0}Wnp*+af zciGFTkpcs&-g56M(L9y4+{LZ?2@q3k-|9r0it1lCEVVro@ccPQQ{9-(=LgdXnrVSZ ze_V?__URzf!_R$h&kd3j<^)eB9+z;^ALn(TZA(B3Hceab8qOp62dZC)t> zI_Cs^Iv;l;|H=k6$7$=5A&lY|{n#e*8boIdwNixdidpThPHg5X)OpP zqpBkK>9}bHlj!S25OgRtlIe{FzgmlrE@^oLZhWsQ=O@`81>J|jie4X#hZU+%p|jh<%(ccB&LMJ|#|G zI~xz>Toe<@WH|(1KLsq4?r=VITg@qbM!r&at1{*%(7Y1PPh=OpPw3x_!8)ve{q1N@ zfvu{2P2S3>Abj4YI#nluz+s#Z@%jMw5yN>9=Q&)z4%a!s`4{I!oM-WSSp2*W$8*h@ z^N#|!%HdY=klL-8OvrijfHMy1bl|*<)ymL00^05;|I0&8JbQW2tfJdeG z(=J9tf)l}_x_(fLz#=Nc=@Vdx)vVoJ#zY20@LsLFRRuFa3Q`NG&S=l8-J%HC& znOmPoE^1X0{D#*JmwGeEf@32vye^==ez>A9ItHDy$S+T|#(;nP%9MphB3NpUt?8q_ z@unORU#86jka4`7*v^*%fM6mOGHfWAvzfqNa8awI-{WtgXdMT_>0QGO+I^6L)7!SSVivoOA zt`W4p|63REbv5h@rSxJ9{QYW5azr~3DyBo$JhH;j99yOHmDE@W3Ha(Ye?oB>o{+3)Q!N`{})@(R~?B*SivbIhksM8YG= z4xW!{88G9?a3)zf8$?6b{!aL&LjR8Lv7_a&u-?d$+fIV{{Y!G(w&Ac-d@y-*S0t=S?7R1z zB?boeJx(b!i-m^|6Xd?LB*Mr@S0~5m6ez2l+C2~-4qxBa8XIG=(BQHy(l?$81~Q+y zcJv29g~VogpGG`5_kR28UE&TV%^|y(^tE9iWfJR`LpsT{M~^2)M-cnF>sh~VCu$_Y z;|p<&rlpY(dfv%oV$uZOa~P-Qjd~O7r46y*)N&7CyjN{AJ`f2=9yhymPXKH>u6a_w zG{XjS4!7Di#RGfnt*T3?ufIPtb)|6^@?Us6$GwT_PFgsl!Q~kTRHk*olRHsA&W~#= z!b?f;1B-REc@qe(%tA@MXH!6Ozx4}dnszyh+Y)2Dpbk4Zz-li?oKJXpfxp&Ub?JTz)+K@ z?(TFM9^z43g$(-lGJz$*y8~k3;L?u?VS98cS^f*fHMMw>5|Sf+)9HY zQ$Lrki4@3t2I^sN5@Ct2uD@B_aPSiH(A-{O)1<;DGHdvpPu z?vBmar$i7qc;MsTlH$%V0`F2?j&)bZWe{=jQq?J7IWQe|fqP3h^0C6>YM-U!G;0K^ zPeWHeUZeAd^Z=62XI_Vb%Mr>+gQuZHoZ~pVQC#5ei0Tr>=<3t_2YiTpO;_%*+JX8> zTP{@wKRWy0_ig_3FlK%w3=U{Vmv|~59r%BFf#(S?Ggs*JWlsXvt-C3$7}g3Pcba_U z1Je1&@riX}_T~4UblA>G=3iip23^ye&8e%osLoF`?0gUkK@wU~m&d{(kZylf*PRf+ z^XH81mb2^!CwP`fOVd~y3daV2{yl`|LKi1po!Mkf! zeSgwiu**58IS)9P!F5(URZ4WOEvWJ1yx%t$jNufI*!wSOM11QSJb&VW?iKC}e5C!z z5|8Gw8ko4yc^b|GINsoRyN|__&8#U37J4hrlGjGV$7g@P&!G9Hwl}_?>Us1*l2%^H zoHqe%bw1s-z8eYuN7{G4_56STSA+&hh%(v(rBu>BX{)sN-b;J$z4zXG7cELe9vYNr zX~`@}6roTk-}~qL_ISMifcNW{`}Mjm*Yoo9Jm+>h_xm~Lc4Iu1z#*`Z0r~m+1}{7? zBl53F`0b9vrIB!0hUfgM&n2K2Tn&t0PHkjzlsjk*e)Gyd*bhm9$g5t4Jo!Fz< z1TN!zMIt?W?m$;Er17g(_tZ+mkB8^nWS%BN>H4xvtQXoBpvVgEiOB&o#rtB|QY7q7 z`ji`IlTPsUC6>X6Z=9J>N0T8{TNe$B)H|mcR&oI6r*Z{2?E2FUV}2lZH-je%Smh2W zSldOz4=HiocSaEe4&!{-E_6&t`Gzmx{;)U?;yj1z665-HQvY;La9+gsCh++>ybp`N z*Wq;?j~3s)xra%R!QK(U@Y)OE(|>pw$K&YbhG5>nFoM5v+%NXsd81%99$1V69xfpr z_5%JaX7_1FSQMmYr??&mv0X{VH9te)*$_)s>n*PT^3KyKn*$cE5S($uPv}!V?Br%H zotW`MI@#*k0oLI#v7RV$dk1<~`&Sp4hBY;Pq$>ff?j`v*XzvTJi?Y8J&%8nX5xgG2 z>nryFsv?QFLW1A$x&FA$GlYY(mYj5|q!(B@ zQ~qFRaezlB4w6#Ed17<{CdH5UaA7i2PP5iN+St7&HqyE;vhaHDMqWIcqtP!2d`)j? zjNK455n3BmgxfZ8CMSoqfvJ0?hUA(Qn2%X9d-NPuyb_~-+0_jD zyjk?-%{cOJ>cXVbf?}a%-G3+bRw&_%H#%ysF`}gl58jwsZ1tbV@O|#9)xi$psm_GI ziqH-Prn?%BfS-J2)oR-NeE~mtYs;N}TKT}CoYx%3Q~lx55oxE;!&dOj$F;(A(+)nq z>zI#=^M#G~(#)r>D`NeI?E6*J&p@2Vb(sc|U^F*;sLX&X6jDM(yc(|tL2X~V#XVPl z@GxtkS}G2M@T@DZu5OX$Oaz*<0Bge3oRLcOk27_TunHAinuKl%QW@eW%GpT@Q&0i0cQ|AjcnEGY=K7eh<1!(7+hxUvAyx&5Qe|o z^VoWPeCO%_BE5%pMrL87sFv@JgXrn1kFYpPx*c(Yqi<8- z$oa(!dN#hGTGCB&#Um2_+Pms+uEj&Q7H`o*#USV;9nSqD5J8+~&tH9#Jr@fjMf%gz zE^ct+uKDX_xnLmq_us*kTjvf<1Va7uyuE)cY+!m^t^bFX6%n7qDfcYeDHEYg$cnyt z%M(_r|Cm_*jD}Dr*2eI$L@@QF?0MH34MBI$FfHBZ0s*@oqcD9-pr$+3DL3d&1dxW6tyqv4uBHIO3th^?oc)Nj>dH~9_C!{C3Q~IznpU0Q zs*HlyLsUy1q9Gu)$|mrOHXO{`rA)dR;sD3NJ-M;c=iZ zd?t~B(-(x?Os^b1g6{kO;))EZ-Q~K*16eM)-~*umpesv}w0GBpoV|Zu`B)ecagO6` z_-bU4ZJ;LRr~lGH;k7>C`I^tF7)QNkhc%1O^mwBB0{?v*f9=_GJ-`=^mB@6r_nTvQ zUf_9hNNZ`mAcKm+;>;3MGtU89zIqZNIHb> z8;maosH3aduqn|)hH@{^9&Ejw)BH!I!yQp?RhWeK<_*52oZsOE0Sb1(Do0`oT*moo zDD=sON+!A|uS*}Hxaonp-lrg=?nQn*7tofYr#4tMj8b%>zO06PCcP7V5GXE@4@TxE z5PZEdQoy#?B?cDrs^99Q%0Q{=u2=M#Nr3Z{K1cf{=fy~fEv8{-5O_P*x)#qJJo zd4zKH+ z-+X;^VlEQ-`u>NPaXj97IJEdkB#hv19QS+N953-r>3~qp8LZYP3@)1fj$}7*!BT8@ z@-Q3@1eIv1t2RHpA(<)L!KUOm!8>;4zj9*yEU}Dm;hSo^BH%8Gx|{DcLu^-nG0kR+ zIh+cz-?gM~3V2;)bGt;dIVTO8>vScgUWE~L(JD#o_Ispji`N5qeO2ckyq7X9p5QmU zZs( zHv^AY`{_t%nK2L;>p|}=heB@UUqo|K!t`_J@1?`4*S$3kq+ch^b#QXB6#1i)#U)b) zrNX%2%Wp0WlMMX|+%PEYnBl6Nl~3kl!6Hd+$D|38oM z@64KFWD7O7#_+R7@OZ`-y?8jPf4IJmBNcX2aT`6o9|!XF6w!gGANi&sa3qx(-S?kq zN!{2T2Fu<-&%ab@0e>GoH$^b=%`)vBdvqxme!}52Ps1d5r`?!D(VYwuQ6)+N9fmM&t`h+h>7Q;Zf`p$6j;@iyyoYg4%7+7o}p@JF7LQX2Mco;7zM<+Q4dDL>D(n5E!GU!X_ClN zw&n-Z5Ar1AW0IhKq11*K`Nfc&+7vh)rH`$D{o(b(EDCh`Cq$koCjmZ>5sE~stpi{+)6ShueJuG{J(iobzNvQfX=^yxv$bYZzl#E@^eczhv-6;u z@=e3kS}I_F{tiSpSb_T=o`atUV?eLyh(bztI>@NT+xZKofjQ~Lu=IU?U`whIxu-S( zRMb5DkNPLTn4<@Ig-Q-+vP3Ph`WeCT&8v1_&jk>t2~RJ>o`?iE`G{Ol#WfH+zCLGm ztTq_K>$@inn2(fpIQB>PUf(6nNKmQnwlG3Eb$EP!;3|K9I1TT7?f6O{s86(@N! zUlf2}tM12b#K~(^>HvI*CK6hTS(xC+zIO1uhBWcYdP%ZgyxAP#~Y|_kVe89zv!6A44OB+ zeJT5_Ko(3?>G|(QdQfUp`^i%N#=}Re8%vzk0ifvp_{9oO2AXT=q#Y=?0mfV|na`nF zpl8e2a3IqgYm%G~5X|==a4^ikCp4lzhrl~6%cJUHNXG?_1IH!S`0lMt2ylEs5u9I2 z#Fg?+Mb#73$#AYieQvtm8g3bLYY%>p1+prdqvkP@M4aO|+cNZb&W;!DX;avvIThp! z_Ag&2#Wj<^lZL|Y{0fns9mp5=-|wr=_^P@sIsjD1RSZheJPn=~c%Jl-2Gp5;bt7>7 zqSj-dh?RWsF&!L{>_PLO|M020NGv+RDhWopipPW7!=d$j;Cr|BBIHXr+~M&w3M%Wh zYN_gC08M1sTC^iStbh5#CASd!ZJ#$B8~FK{ecTsV-;H|M0{Vo zbKptAVWf|G{-(_RjC`kYezL0V5IE!*3aMGa%b!`i zU@IYK?&q#_0ykvB@41cd4uHhv1eLI+2#8geyWPW{N$~I!y%&!;lj1@7MPsOavk11y z9Qr|5Dij*{`wlv_hhR70X+3Fl4DhlQYwnqF!y<18Twf;7B5)b!t6~bKHnrwxct7Sb z&)4b+d1b0gnrQyI;hMfYWVf-kuGN0n&p1(LdV zy+xp>d;f&AS`kqfJq-NAPJ{9iuLtn@Dv0%^)U03;!Ebooz(Qq8zRnhj;q`&{g7$EN zNhEOHcly?%90Ahr+vbgHqTs&e%snB4FtActzH_TL5_GBsMNX|mLqCtu`h=MZxS8@v z$F5{RZQ~b#4YqXHBVWzXk`fEd5?^NK%@RP~!Lxw6(GI8!hK@0?BL9g`MOUA@_=EN4 zq28L|a0vE$YIU$L66&gFU!5KehNCC>_Nur?z<}sxr=eaH_!&JoS+EcW!Mx+mtTEvb zcSG#>!LR83R8Hk;yNN%1UU$hkYaIaX0$0Z0b49|7CDBZo2e$w7=iBmPW>m=kbk|w_ zlTz=ap_fOkZ2E94_W1$q9RQl1w- zl?wWD!k5eMClh+Oc`Pe1tC&Lg(~Az6cR1991AfMcA063Zv<3Wp{50+`x1xO{^!mT~*Vg$^Wk}*%CzU1)=D}%3mu0U%z6s;Gmfo(VKIMKB$9@Jib zHa&JG4Ti0LX~-izy4-J9AJ>J)L&Ce3-_I+N&NkCs@Muh9tJ~hJU6s1g#leB=`Dx$2oO2S+55I23XE0zkdkgRWU`Fi zm6(o$S=F8WH$uXomion_!s;`k5*vr^J;o+RuhI7b)VPZG$4uVNVKh zQ)cX^W=}_YsFTr1m=HRBV;@(E$HFQT?;0)AePn+b7kchw9I!Wue3sJ;LH)g%{SB#! zu$QLT-5u#uo{PQ6s1SnucKvpa9Ak)ujI~IGHZ+G{IP|E25$S5Vi_biNRFDbvuO~j_ z|MZ54tzeVo$Y|mec^YFghUNoqr&&7v8Z||GuO9n3+W7&m?-qj$d&O^ygWZAX?p>*2 zAjc-Ky|veuh|g?ZG4dZJzEDonUEZIC-Wx+3T|H9KJdj|YzokzaDDtF~(nA&;vpoAJ z(uxXhuTb*dE;RtYnNQ8#uRMr+)ku4@9hzuDd|&z0rNtv>)8JO%=CRfIG#H(ZrIWlN zkDdR}r^P~-0#fR)`1WNd!J9QXxAN$4_%Zo_F4-&^JXZhm{=FXt)|Zb^K1s|X@ZY{z{5fNCTNJxi(f-bGYLCIq70n1c8I*w6nd! z>@Eb}(W|*W<=O3&^{85Pn$s-f5ef$ zaeRwb1G_~u(9$Pw(<0rB)4V1XTbKOdz{tV<7pTIa-MiY3hR+%B{JF*`FJb6n2X`VJ z%3^9m;n68!CX3_Q5c6Q3pPu$0HrBZ!qRxtR!1SfQeD2V|1Z76p6GHT`^-Oas{#kRd zQCob)bu9;s$%llP-dJGTJK*L+yEG!ceZuO-@31DpgUXXn85iP#*0^+AB|Dnn0UU2| zyp5gj@bEMVfIAHNIk~96y4N&z`5IFK774TeJ@!Sati3)Ea?M)B?O-}^g-o!0-9WteEIp9)M+|W6 zV9`~pM*8Xh`001^-}vC@C{VnYqFy@~1-@7FUwPIi6S$$q6Smad5eR)3b?N7of`O?n zuuV54hT!2psWd-I5D&R@_n#tF-Ve{_v)aUvPS~}cztT?4zzE z$aE29^FaFqI4i+Bu*?oP(pfUU51^r4XFS9uP)jlVr%QckwDY~ zczq>VL#IV9ltb_vUN^k%X7k_Zv%v7Wz{Paq{w(qle>`qnDco(Aso2w zt{xF938cv9o)Tb}Hff*I{X|ntO`WEv7Zu3@9 zTNw6cQ_d6YoGW;?`;c!8+s1g1F*MviOJ z558k9Z=#%i!G0};U9A6q|NLBe%gl@K0-?0=Z+z9SAV{6-D|#~$0A#d|%+?4;aUT<^ zrqlVHAu^bg{qXGw(@+>;8XXVg4u_pK#XIZ0?E%+I#P0=to0&6oQZ8W8Lr0-#;|J?c z{adDt(&32AyJ*vXcbFf%{Z;5{1Z-%Fe6&ID@a8J+4oqBufa_|DFR-P!p!a_|uMCl9 z?n+($F zy_2!iO&PtEQ`?p@F^n0g-xDZU1azvAPdO7~oNTyi8#-x*XI zM|E9-Lf$|MPXwHe(7o~7F$MB78csfwPKU>m+7r)EJ(It;BgJYe22OmU)ZQ8E22=T3 zB1lmKUOur<)cbA^d&isff`p?XqxH9TJi_CGCaJo^Zb_hS?HY4(Dgvl-8^nHm4uQ&4 z8zI&%Z}=TD&b(6w%?ENzcoZWY7P*AGV)C8=K(9*vLVhd^3ZHSExy}&)GOxC@E@p>9 zQirN2m47tk#C^>xB6EjJzt0?>;17XnlShIaEN);-!*zdZ(H!U`cf8YAj)aKeQLa{2 z2f+8I%-a@(!kL2Lb~8g>!SoeaYGxUve{}>%DxzXmbCI6Nzf-^D^N4(;L6mx()u=uOm~S23h(~&*zNChuZK?5q;|Nbbm4Q!fG-%yZ zb~BYq1^!QTcbn0@hw+M|U1exET&~QToDxokmjFcp1TP!V!x}<-zf>g zjQ>!2=^}rcg5+4QD`>Cr(VvKuMQKpO{z*>ZN&xJCHQ#*VH=4itcistoRdDr80!%wL z*-@EW!X1%v|5uvsM199=#eQFHz!^?IB=eF&{ZWeg9dy%7?nHbho2zS#w?v`-+^29; zk1)u|x4JUmoC^E#jTN`#Bd=PNTNWu+@``PCE<86TVF0MeqQQH#pwf?y zkByI%#I+%>eqi1h^_SAZzt)gh#=;lzfM7DD55-!3CU^|(-{btGUi$n(_=8Z;XYZ2@ zJ{%93c{gb$e4`26D7W}}*xkSl24mYpN`F~^MO`^h(3L=fhpAYD$l!Y<$Sw9X`nj=U z@0m`CZ|I{wjL6fmqa~IgZ<#l0p&bUQ56kH}k=~B%Uz!TV!ej!MalWFnd~Wm+?ZZxr z_}<(R;e-_#6f%aVpuM7$lkCgB{?H;u{W=CqfHb+~4@^pEzA%a!M2(XPzD_L3Z9j)} zMY&a&K1fr!K>W|Ij~P#;1I|xoIYZWa9X+6P_Q*cxF?(S9>Z+Q4AONcD4BAC<0|*?( z`4F!UuBHhO#Q)GCco65gRK|`sCe~4a`@`b=i}NDRv$%d8u5*IpIlec6&)4C7Se%z} zJWk9pdzpmx&2j$5albe7=q&R!FHjd6)@b_~2L|5P+c~QZFtWNP#cdQH^L!7LU+DNj zNG{9juptY7WAq-MmGU=MukpW<+X*hnpd-)q4{U6gXG zdU%ly?e&lA{8~VBsd!x!K1RAcNft=d19*M)yW*^aDbkg|`3Vk!a z;sd{e(R-ENnAwHkBxn*JjnjUe0Y8df|Jl);3--^aZpqqYg0N>5dor4%fBkac(}aB* zNV1ph5A;GlC!6f-oV&8&&itdLA^LQfchMlRsmy`$vIm13T1oIM;g8m#)(9w*_qaLr zH5I1!zqFWZN&tu3&OU3isjy7da`SUp8vOL@;%ezZ{ZP{9KMZFR;L(|xgSys95YWx- z@Eq+Cq=zJvdbq?w&&zwxxs+a@|5b)M+}9K2f;elJMvxA>Uft z8G^cIbf!_=EE@W@)%GNMUs^fuG2~^7;r_D1^3AHltHGG;mHxJ!Xr4NcT0c%$F(3H5 zZn*G;=Mg&Cc)wOE-8`JzArFe!el}Pp=0g8{?>BuJ`Dh-~@X6cC2rMV8%ADq49@I)u zNsR^+z))d!uJK4A;g_O0AKQ2%I3E&kBO%QP1<)wNp5;*)OPp6CW5)&ku3-4dsl9&Y zF`7RY7&ZpFY5SI!3Mi&U^TWUkk|jrwd`PgQjMgP?grx+ykZA1vSB zj!{JWAz|yk9sSY0Lu|A%sqG}v3vjCb85@Iqv))(i9;Nb!4GP}(pARR)#Y_s7IMnZ5 zJ>7L=NCxdy+|jQ!=?#D(_JL>fk5eF9^qTwQrZi|5roD@ycc*&&tNk~hBApcN*_mS% z=^$~pFzD>#3|OJyunJT`^V<=VPl}=g!7kAM`nm21@MTy1xjupVR?WTvXTBjljLpxz zpEOc|?DGBxM-@^a<@T5L*Mk1ASv2S7GZ+e`SChXo9!dqpm`<54KMyG7C@lGnbOTf= zdQMapSi

O0U&8EitDLLle43LSc{oLVpii0+xM5`*?{nt#G%Tow77m6jE26-suTye|4qJkDtM48*kJ-J>rMORR@|ECxn3D zVCv?*!4!~rXnD+VI+M5`=KXqP9f^E}%V))RPTk6at#h*iJ2(=7f?6v@ppGBf_DhP5 zc!$FG_iwcZ;}c-*FU^IN+IX0f$U{b@cF;shdm*|A`536WX?3G_0j|TBS_U`MfjOvc z-`PU~py~caW_zzIady3oy-95t37;RI_Y-;=f?fM^j7!TY6vN-|lq`hq3=c(OU#r?{N|?`JY27V*~~Zi@O#@3`8u-9JvNE@tN8adDJQ$VYb^x?blER?Jj#UY zPp!8f^u}W$x$4TYj2Z4OMz>AvDX{ed?DgtXYF)mG{}^9#yM1> zIf8%q;oGLNPWcn**k(I67&qiX+noaA5I@wv``l;KyPgV2;EvP>^}7vBhkKW*(m*5i z@&1Rr(ZIp`i*knD4aOBHb}FIYKj3|sxX3|Oh`Kd3%C!T{o!>YqkRcq1-5E;Fs+UGS z#Q$*c)Hqd|mS!%2caEpxncED~0FMJ!A59?|q)*haz%z5!IG>2Chr9ONXrYaPa|fN+ zmZmg;Un{7-oj(S+qs(Rn7{Z7+$8pweIAQTHR~DGe*ygdLz7L+S@%%>S;t`?1z6A`V=kQK3xEvkr#wo?XYPuNa|Y#x6Xx_ou`#AR3N{}aoe!ys zf-tEejB_*xm>NuzLrypl`8VuuO}<g3)ou6gy2M{D~Pj=IseQF!_+rqlVbnxooUtS zwkkF9M_eU+KA)CG;4;ovy-S~d?QIExx+ktA^ryVwdq(Ds&piH+@l9&x(m)0<(wfRt zd1pYGq{2d-q%X8t@!PIdqrK99e0}@XT+rzjbnh=4xlo1XZ8&9*8@q3%0nSft5)BI! z2a~WEbs2$ zE2{Bn>rHope{ml%+%F2(CC2sZaGf$-&jR0j#OLF2UdH=vcwL9{H;(%x%I*h-(VolW z>Qq^ufoyPA4rU8tjDYf>?Zr-`NJ#z^vg#0F1*RU{pNa-K2;PwlzEIinJ`7I1rn`Tz z1NneS+xXG2MZ#=(D2aP~IP5v)s*!#>lc^tCk3 zhWie)P5(bvQVotQG1gl!#v`vs9mcS&+ky+^g7oJas@whs|Q~k_ie=@HS{-;+W4kS!9I>O}>=_4mE zI)VOTapBzvE#kC#F`CHuR2{=l?>&3Rci++jYOk6t*;zwScU>4x4>g3&aE8l#zUH9# zD2iJq$s8iCT)fJhs0ZzLIivhPOzYYU~8T*>>wgfRYq({%R)`GE&e-z8}$|1@s13 z$ij}fFLAm=eWyQsp`eG_4AT?m9BJC83$9AtDUU*pi1-{L+kW_&NdNN>{f{0DU~UZEasKW`8AcXd40n9U(t z{k`K3F-17vUE^R!t_5{;r_~IYYzh3JS+kz2_~-)JleeyzH`sv0G4_hnV(8wYyLF>h z(HbsH6}op{FbA%o#W6Y&Gbo#x+zj|^0iVOy-TI&NAsh2+SVpLq zxtkqiCN`uLa%p03ZLW7-iJ`!795gh~KagkSLg1Z|!~W4v`gVZF!O;nUq-XLr(7JZD z(OA-zh%1--n+%HK+Rzqg!6_Cfh-n;+6+6j{-c|K)$=}q~A>tgzS)+06P_2avF!8GA z>9}eT`P#i~94`^94q26j8=;$G#P3@_cK_kSIW=IYZ(1DNvLf;V&lC5wvdfMuWCX6W z-Pv1cxZ4)yueMn3;Ib$1=}mv%p{Mbh!17%=LUc|6_{D67Ul}?=Q@PE~omVwsH`pao zJ6r;8XWyx)y>5W#4}V*x!)aa}p#D@b+pePpysz#FDW9>0^YNdAFG%ggW^QJ8RWm5U zk|3ju`$=;U|7b^jZ`BZE<~n2c!H58!x%<1N?7=XI|DCzxn9Y&$ru0<={f(mZ_T@Lq3( z%%fNpQ&4nNFO$6l8?TB&y53!enc;Iwr$rp0N99uwMV%axf86u}4N}3@u*T#aTt9CK zJwe&}FDva}W^~UplQIpc+tgufi+{9zM-q93*9+4ohc;-8X7E;gpy@6<-WL z%oq%++Q%AWd^`QGzZ4dM-Y)sfJI$A|!SH4F%|25CmvO!tKdFB=K12@o8o!+v*k=mg zK;Y%LhZ3A9IFWkhxf6)$aD_xwqCQwxF>MWKCLHu_o&49u zqy+Dr_dfZxS6&@@*8~qoBm6L&KJvC+)C$a=3^*%#nu1a)y=l=kN1`t3=Gvg0U$BAf z1kp)@)&JH-2gT|S1tMI;>jAvJI;G{ClPPIS@Ecw?)XURwitN_I@cN)?^XuFF3rO#x zvXG&BGY&Qx%LRClFHy^dy0;eLX|PfF*Kyl61(c;|%bp*|0Ig?BA2QE{gFoBni$9SL zR_mjO0iy3RVMVCczg{XC>Y_(#qzW=%zQI=KUT!!9xVvkzd80nc@x`q5-LY^`r_s3u zy>qVczYM9qngl%019FF)5`mvb=GVE)32^4j7bex8NU!+#y9Ybs;=wS$fF;`~2E1Nv zrD(09`GQgX0P;Rx@N{g`Q$~Af`L1?7h0PH#r*VLtG12CK{`^O}S3eq|_oYIw>RIQ_ z1lYWA{g=|U6j0T*l{>Tu*bNiRN-)F?6xWWn-@56AN$h6YO^fd5nwEzPmC+nEUhm_+ zb@+Uyq17JNOzU*GUsL^P8tG-I4Q7fwY|R6|2PY*wsr)dyqvU%}C}lxU*Quz~(ri$F zaZ`~#Hydz&W3qGw@`{D&7VTfL`0q?%-SQq25gAV7}R=?~h^Ns(4KM7J*xjvbzlK5;t^*t~47g}XX| z#GRF;_fjknf3rhq$sEmj=FW03NXG!KV;LvgS0aJ-Na)j)+e|iM0MGA>Y0SbriS~e> ziK`zR+TAT-p^9dYJnH9k>%IS5f%dIsWBb-ts@<@r>Ks+tz$oA=b*be0l>+zJlr^=B zkbdL8c@CPpogXgWhy<64rtv+6Xg2>B9yz`y!F?{1!hlHKG^FP1NM|FVkgAY zK>N4$-S*ZLsHMFByIL{`u3P!fQIaIUJ=r4`m2cv~a>xDz^|UOs*!NAfDA*B93Y!`C zvWF7qq1Mppv8)7eS$KU21{|TxC#b~)rFq@s5t96!`wa62bhW`M5S zs)uEI9$XC5>0!3U(Xdapu^o%xlcQZ(Vr;2KOg$t36(EjyLwDF

RW$hWLGz_9&$f$OJ>( zWAfsX2(<6|FE8*s*|%Cs8eZc};Ch90OVj1|NPkk!`4n4!7J*N%8;^+%DkZ|4ox)0C zUIfy=qs-QH&IPITV#_S_zU+W!~G|4U+&8-N1 zy0tY=n+wff?!(u6EZDiO;4?o5qTxy)@5co+CvZHGWA7rh54KcZ9&$%S5dv%aI{a#p z{wc=Z%HZaOmHc9z6rfKb;=8CK%ACa{4f1rh9tj!pPyfdQINsoRYhU6> zI#7i4ghq^C_vwcN<#q>sz~K~lc5^MWqC^3^5s-WA?gzAYkelrPjynPxDHqii$1-3s zO}SV_?h28AsYwjes%SpkDS2Y{NkIhYHXGmF(~|`ppE|4Kb&;=F_-PN@nsgW=9ePr0 zkVo)S^Mp#)fPFZScd{Egz4e9nBQHjbG*b!OSZ{lfFLo{vqUas=yr>R`-v{KVI6ol2 z?teV|l~JV67If-=WF(7ucQ*WQWzR8MTs@3hCy+DK6KwmlN@u!C^}wTVi4qWEyI)sG1Y} zi}NDRv$&6#z(2nU9M5t6I$Y-j--pF{8OLM14~z3Rj{5^_4pzaI32>Hzxwe-f6HY9x zR!Wz9Lsf{Wj~`tW*qmC4ux>|n2;230S_3Qu?{G*kdo^D72IXMtG5Nw=a2Z^?Irl9X ziW$=TXOTZ++{I5W$;i(EuZzCkTyPS(nFo{>TeXkx!?6P0+q=u5Lm*0y?M@z4)LY&GE#y5%5a6KF!04N;FjFwKvo1NrIeUVo5( z@~Ne5uWR3sp7EZq*?t~r@IENSF3C0xKJHT^w<$z@xutudG-$s5#r`QdR_$0=e}2b? z&pH|0a|~+Rzk2`ApWivEkt0}=4NgC)cF&`{rEbV&k41i~8@j$$NzVbxb?v%6YUT^t za`{iM=LBL;Db782CsWt;V$OUqV(pF!DX%H_joe?D>hBZTJwnc~H^=i|vRwAVI`JS7XR zeUu=f`i69ejb``^B*UO|&D87nq%87Vvk<06y2l(W%oE0>Wst%B`ExOvbDpE=Fe?wv zftzA14?NA&;6szVx8q_7nC)3hS|2NizXtIM5ykmHmg#Xk3GEB0_XV>tBcF=lv(%4< zkluO2j%vG$sQT=)8VkErj=UvZZHj%0PX+j8@M*2TJ7s*!CekveJit z^gYj~K+q+ZwtU}oU`)E*cHb!j$Zebc_{3%dTZEmE@s(U?j~@8VT7vqTAB7j9gfbvV zRe}711Jc>v;n+fAhvwq8$2C6mWrA;QDCa2BU*X=-TEm>71vhjo)`O9*=kBvstuE3j zgg$vFNjnU6=RkkGicuY^Kk<88aCc6t(-PVX`gfk&o)~$|9|rU4i;Je?X}}?SX=Ark z1b8)Hw|GkDjQvSk_9;dB^IPvS)~1G$4@|k3fxtPWLU1U9Dj_G>t3NTU0B{%K}gO7pc%!0R4iF2*^S*o{4KJ3|l(E0t6Etd8D zCN1R)6QaJ`U}2Tkr?JC?=5DGrSSP~Nh36iI8L>osN~G!7J&_BCRd)@CFN)b{?*Lm} zv8#lq6lwCZTP1MRDaZgB1B19M>(fJd;=g8?4nMQ#|3=A*YXLZ9@xTn~ExTey{`r0`$$)bhF@Q?(M-s zw7(#1T`z9=CJiEYe3315tRnDZ?K8!bDJ?W7p(eHb^GgkErgTxK{fK}P|4Pef7c`%i z;O{M!T?BNl&e3Zd`S7K-sHMO@8~SNU-|RvLc9qr> zapkPkOZS$v5SU-Jeicm&2ZOA9Rd2MX_~4;1^BB6<;&G1Stih!y_Id~8qjNHXP6PE1 z@qGPebG?t`JKBQ`bKJeGSwQ^0jlwPF=1QnOJ~9x~G96Fk1)e9GE`sl$p?NJF*Y7N3 zvwB(8z}<&Y3Racn1U}^+oM`^+R03QSZE7lLzoEgH_Buvg1ymk}KUUCQE-$mf@fg%! ze{!qB&95&R@ccQN$!fb~?gd>v??v{oBK?Cue(x~ND%e(1fA(R&0JbYdC|{vF8*G-W zO!um|z=&_Yt!TRsmfzm=`ntmvxY63Swmeq}k%P0_PMHCi58wAu57R;-zO_5$*6qlP z;Cxi};1grCSEQq1lPpz0@BofCINoa69oyS?G!qPWy>3wB$N-s(8;(u43V^K1L|FB+ zE%?w_dg`@h1IfA1foo_Figo6Fd)sy~xF#B_uPfU8H~(gxi-R?iU~6f=rc_uA?4kAy zx^c4{mQQcwO3@?iDa zE6~+-!3Gt^uTYX?0LZDe4)h2CYr0Qe!@)8FmvO!tV4=#$`kMomW1eICXXK#PiD6UC zIu}}#Dzsda^1+3QdialC8AxAk3m@`K0RyUSTB+g!g0E}DnI~F?3gJd|vAF#4RNxGY zb?-)+!=xCeHlsFu!Ic?NnDcxoPTj%#CaC?hsAxwaK8y$ml)Tt!*xz@UdHhlpRdFF zusH7Hb=}u%%u<;S81dBjzeZ@D2l?w5sm& zKzMca#_ZKcmCzfuD8Ne*0X%}ddyb*^6^ek2oR2YuL|vq{?@-bhc`ZoN9P1!us3hv5 zfLCp`R1rl)J%HC&^;=H|?;oiq_zkZc4n1EMSU3=h;q}3lH?>8F>`^}}&d@Y%*#k7{ z+O%CM{oq8JcGl3jNW>#-Np zmG7uah;#$yha)0~w*tZ9Z0nnNr0b-5=Z6qouRSDlq}=x6^@Fl?@lxY?FL)}NX^w^X z0!L|2=FhSa=oSC!z2@lyy2mT`jkb6}_H$b9m0>^lxO!#RlOY$7c3`kmN4nF=_sdur z=){rl$Aiz8Rk$$n+p+~7^LoIjugBrq{!!|G{rn4h0^iM9k&fS%n$sq~JM3*e96EsX zM~~GO_c3kgVb|Gn+(M6VfiFdESDn8DcDef6fNU4?2MrHD(tkXZ=+7sVHcH!)1QGkx zC1=kcI}slNn@vJ{htPWh%CKm^d}q3M+Ghj0HkZ!=$Cn04HSID_Laaw|lNkhnW23vR@cJj)>4JE8xdvJaBu{yYE)ATC}>cSY!y8Me{ z=5W;3%5Feh3tMQ+NOqj_g40YJbZK|JVZWN?uT2#XSS+VMVB=^F+Pm`Y`tq&-%bf|2 zl_Pd2F4~;-cUVJsu-5G*US@38Se>!$gB|Ry>!>?@)eS;+R$Q9u^#XZ?zZ~T1-mqTJ z6}ipl0sYRlq3wO@@b|5=sjh`K%>8|5zsc+hi@G8|gZVVz+wF!&yL{c?+;^!7`m+Zi zG1Jkc-%bx>(LJ@a$|DAiS9?oV&3y^q8KE0HJvJWuLanKg{9!VG;yvDPuU>*Rtrdo! zzl0tvlkTv?9*dZ#x~*zqmnRQKlNVTE8Fv%U%=bBABcFZa;w{8QWe1k%F#L)%QGKih6DV- zZzKJ};Hohkrp^9X{PGGGdM!T`>o$j#qce*iF6x3vSwuX=fFs1zKWyALr;q);DH=0h zuSJ~wyWi()y%vUFAD8sByWFwzT`$y?2EB;-PMAa9Q69Y`m(cv`JFH^~$Nm_1?f!x0 z=KjTJHcbQN>Kz|UZe(q;XwnHJdH0E%7rR60W8OmH!-_!J)BWZLHPStwuk!w(%z|y# zP$w4;U&6{xTW(w4QpWInb#Kw%WLIz`zHhv%_))=YsNZXLJ2JuC4;f!&TVR?Lh*-^97CI%y8q$(+@qF1r%=!D{r7PQf$` zWJ%8Z-l4aHLrPbUf68(Jn{R@2THR=Wd+zxB0n00JS~K10|B?3H|6Kmx|Adf|5K%_S zj4}!lj!hz?C@XvKz4zXGuL_BjQj*YB+GY~6Dzjlk5m}$d_xA0&UVp&5UmmyD>xbvf z^Ld?fzn|+o&bi+Y@;ZanVjP!_s3o*6ABpb&B!~4~$gW76_keG6qj#RFBL7UX*Y0(K z9*|tXG$mi+iG_|-Z5|`B!*Cot(6(!I=zbJ|cNDj)B8DX00gr>BksmWH%^ncT+xqA8 zad#rFq8>G~#7?it`ESt0tZiPw_Pl*M;jZZpA;)6t3>U44ILC2T=S{(f4#Ic7~q$X8{g+HAAL@aHQn?-PZF-=H{YTW`D%>2m+e3p`I;uS8yMEtSV` zT)#{W5hiB)- zcvHztK<@72sNn1DPi$J@#c$Lmi}|1qS?W3FIH7_%+>;cD(#vixj^;z^`m7BN!xV|0y*wngP%H&1xaOZBcvH4mZ9);P9Pk-l! z+ay2uQtRC?;{)Q_;p?6lStrx)Dl}zzG(<2cgGv8GhZff z80SO0KG0BBq&h~TPVgYkb0hvTv-N*8VCBe0L=cq|!M`{!;yhdA<A<|9;R!G&mZpNTdoI$|J$uNRL;)JQiv{Q~s^4ivU@hbPA^482IF(v(2#(3#>9NY*W1k z5YO)7r0kOoKeL>ctwSsg4nL_F*dOTohru8L64RN&R&+w4X8G9*lV-FhX3JT(Q5z4JEQ|JTkvqX- zY2|voyJVO(ZO>n)#zb(L`f;n#6Zy@O=MDZih4!Sc)2QqINPtyS-Y^NIPr<3}`mD?( z6Mh;ry?iZzs@1ccIlmWDp~}LytA`Egsnizi$r?v}iG<8*CvBt)bKK0C5#2w?=AFNt zH-`KV46A9b(xkz7XIh|DSti{7we_vO1c6Vu0W+tU!Z4)2NWKU6KjsW1Ov1=hwKdF;Ncarh3RL(gr8uc`b938gg98QQTw^~ zQ7AEIkuIkoxPB)9@N-9L4ymi7AF$CbXvPc1Kv4VAQb<}5`T#Q!5G^P~PJ-#Qv z0tsv8^O{shTDvGZg6@0pz54s@iI?t9AYB5FM8S~$Y?yn;?xPo-038fuAqSBzP)B6u z5eIXm2YEPK)V3rGvQ~z&X)M!0;wy#VV}&F@j%aF+_~YRn15C$SDUm_Lq5L# zX;kOYz8aaYcYtzQG;tQm{4wcaNrQ+R!=GC$kASLG`ISOzJs|n_uTy+N=*1-=kf0X+ z{f#69RDPJXC~yT5@ws^M&{RBGD3FlJH+|rU2cP%XbbD{*fa>hWrwnqLa6r)EgA?j= z)4I?Id|=@R^18CmCyEW=sJ8%U7g!97H;be1}WhkEcUz z66^i&+csGF_rpb-rRi|x5hGV=TpA3z>Qwuy#(=}Q&QFgYL_vwC;JGoLNN9eC`KPJp z5%}?aeAK{%FTsGOP_d zE~~aC0JTex9LKkCIIcc#YKL@oj!}2*tk;Z$qy0tS1C5ccjmYI&W9?R8KTLNqzAJ{n z!CgC9+-r~z1dexKZ>1X_L-!MS9K=!QR`H)gx*n`UofRUbL|n14ooIWF^ecq)rPiR> zA9`6hX8%S8f~L!351PtABF=G~eXsJx#Vt1m#1|VA{&u0h*uQ)&?|4xF547Rg^zUPB z$PWR3zJU}S)8#G*XO$B46yEv}d4cDN+v!%P9lL!9T+i85ezWCW2q(`TR32)}B=G6j zq^iIwZ5B94RcY{livk|WSr36{$gl9>r{K37Xy0(3r|hoMaA4SN8cp`W4)FX@inzU& z(Pj=QS)3~=#%TYq^~yNgYA!^F`6us1^O-{tPIYW~=stI~@^<64Bo?jo`Jr=?C3XNU zh0edQfzIb#OLhx+AQP%-y-{j|N$kLNtX%NUTGj?Vp9_)uqj&q}a zE6xKr-r#sk=T8y#{&*1B&eK~`>c+yo-d`?jhmenYA@$1g9y{2`Xi=3!d!afOeY<mElkKBEgRH#*18+I2gPhs9^U5-B0|(4UXrZ!QiSNkVw5x z)HU`78gc&Y9^U_lqbjW>9!@-6lOG#7jP1AoO>Ll+4(hxM`@VW9Vg-zq*@}iS zFy?V%Y9-1Hxhwb7tKQEfa2e;Tn?k>S&I+c0P9iy{; zw(r;Og2qf3YMwo}`8@(|(sEYop!mo6dhb^J!Bb`FaCFq@c;MGiU@f_0yEXkEKUJx6 zof3U`7K?Wk{MobvPd5`>^=l z1U_Gf-^1elI=rrnS6Vyx672&vd=%jQM2Gy!v`J>}BytnHBfJ?CC5zs}5_=@KUNq%^ z4f!(ZE*)3+*`V;NNg@au_M@2`y=0;;8tj!lMaqoylcK)UT^`LQ>Y{r&Qi>gMNklz> z*H^sJ^4>HkKX87->xPQUr?r-v>@d78&@7Mk8R-rL1^(Z+t1EoLzHYbl13o|K{F}aW zWXm2}E&kM~75YGym)8zyYhPejiVB0V@;?Zvny_bgv%E$vS%v`F8RX`mYp}L3*2De zP?j@uwh!9fdLU-bKZ$mqY~4Hy5u&2w6H2aP9jqY@91 z9$~vj*tNe1V)cSgW{p~us^+rmMi(>k2h#1L9t zuD$!p=?w3YKcEM@IA+>76KQV}jC>HJjBZDU5&Jalhh?2j&V>{DhuH%*(M+4}u&aFd z{qb>MkSjbrC53zlI5~>COc@M8?NhPwrK1rrbv)U5C(;k!u6uQ_gCi71N9IKYk$<=uuFvs5JtM)V zC)|yu(htZMn!WSl{2^XkP4lXGApE-hREX^h(yfVOdYy{SZG#rCeQzT{UMeClvUR?H+ zv<`(sA$GU2{`kW;t$iI&s3d^*)PPh$Y$O~qnn?Rn90l*A?)UP`BR|l8dPzGut@#u8 zMu3yKM}%^DA~>)4D7yzC-x{;sg;tLP(EL#b_x4`oU%lPj)5wtoGxc42l3v7uV4BgF zuwgXUw|UI(dQBv#?AK~xJQIWV2YOQ4kPav7-jEwB<=!yq<*hsy97&wTeaCp~?j}I* zha*%am#v_Co8x!KJ5!>*3rID8c>S0OoVYV5vpwbmJ64##Zd636@ z-c|546edGauBjTU|H|*iVtaewz+SHpMxt ze{5mrjK%@ML0j;C&U7ySKomSrFfNr*jDX*>EeG9@-jLW`E*S}$5XfJ9qC_6z2NhT( znM!*g7*F!L8KJ%9XgZp7+ZXm=@QtURDl?40!Qm(0_VoBLVL0B+Z_7J&^C6!67YAL3 zU+UE8#DQAF)4knjZWfQL5_|i^z3BN~5sJ}gdx`Ep7y`3hf3`>$YH7lhwGX5_@qTol-sm}CLgGhXJEhyR~0|+1Z;^uZB9&ph6PGLConr@VbJo1GtyU7ZfiZEC{7!$o|r%B{r zn)NqxRd;W=u5n(>OvD4?_w6Rn=|lR7LmPG?1(8t9-nQU`=3QF$8pr7xr4sy9`Z(XV z3+Vu=Nu+P9OD|B0xvwkGMHvw(Tnuhe};_eFG87E+X#A^p8Jykd_ha2e;T zI}+kClW1T3+yS>j%VsWk6CCfRg>+$FKm2C*Y60ntZbnOn4kLe!o1J+_4+g+q9;Iu4 zgkuT5-n;yM#u4TDUghEp^HAqTkX8US>a%@A2`5muoB1DX+Xh z^=#w`tG^xu4&!`?*9V8@Le*WWZ3!O4c}`O~S|YS93|fVy?@Vx-68wwvBF?j^wNihI z(EFO~&v!{|uhHJkKRn0%VR0WZ+;0NcCC2d>*EzxWVe!2Qe7+99hsFDKcwP7Y{xB0S zgutho(6z^T2MOM3Yl*oOMRgkZ{YbLUpt*I9h^-QVZpCVpDFtH9S5X+eAuH)c)_n~2AkSN>@C{)T#*HcNegQm6k8;pz}R_J0xHm5th`+HGTRQ^GO_?s5&pMt=HL$K}ejo+D<8zg{&J-9oW!ymQSAL*U zI-no(>o~C|y&7M_)HEYP=vvqJcWtVD=7sVc2HpK?$07b%`alnvB-}}EsBikYCYOA& z)N#LxC>X@WkC{yJfT934sX)sK`O}_4t=CS1!N&;68l;;sNn5<)(k6)dCW$;-G@QhF zWhRU9VL`7Pe!g@T{aD0u6iztb=X}-32U7zzRvdy{5OBnMAC16KXs7jV+LL`860^iY ze0Cjx$;`C|dqx^ap{YOitegiJf+dP&=1;(*nq3!foaBL}@y!>a$w#3#J>D@BJr9m7 zv&8SKqDT)TLo%%J6h!;D1nf9*0*sB@Nbj8e^w4u-Vfq{izoW2W=&b4 zVc|o-#C1U!4XC-DV#5yymBks%!^9wfbG1%Y^cciy?|%55x7;7;Jt3l?G?0tK>lv+ zvY_ee6XnVUrEgaRU?y$&$;wysd)MCeIX^8x=wMocSx{RLFO+U1usbP>!5OK?T<2H$ zK#wE$;=B_FTxoD&BOeuo$ESO@Ud&2Da4l7PNWCbCzuv!WzH%J;Vp)C94{$(yk>J^f zr-UJu;)BV;syJBumE@)`X!nbCLhr6lUR zzM$;;B1&)M+`FhqckbqdmL<|>Otox8e8w`Ci;5 zmlN>vhlZ^e_c0I=+|^XrzYk+*Da!~xCISc4$P6b|h2U{!`mx570s!`H#ye)Yq0{2n zpHTrG;PlM+xXLC;;K%cY;9?^_9=Oe?%Vj4gjr5r<=96#!m2(cV`Of8Z6yi^*tKZt< zgQT<3NeekBeuU0u6;=qreM8lTnK}ljSKe81=mS4|vMbitk7b6KyXV@|&Ip3RhkEkd z8}#sD($iHmjE}&<)5j9tKAAa8;GF;yX?nV!2oVRNLo0>DTig)(J8F@RLym~6sN|oq zsdgf8q30pVvMe3AjIJN^c)$fZjbE?$UZ5x99LHIb-V+@=sX3r|tux)afsx49?#5&N zpZAb~8??lD+aD*MZ{7QW``?dq!|;0%DNJ=2kr#NL2(G3{zU*NlaJ|T|X=>$}EI1!| zId_Zo6oF6AtQEKh&z*$z^=+~bMeMLQJd0V(NfKPH&dYcBu*2%f{Hdfz48WJEI$hw! zMdVLz_e#!G?Ps~ocZbB_7X#S*Oq`tjb`r=pLw>##*@0!QswZ`!=a*FNYTJC11Wx&9 zt`shRdtw3i!V>Q=qxU|I3pHQGp=S6{tiL8b_O5VT?U$$!5#I({Y+}!M3d8N2V$yG9 zcp#f$s&wA{IKcxr-r#sUeLCf6kOn^_ZFt<~Y(YNo6|p)oV zT+Z39uiQu{u%6BGP%Z8nf3hOl`nR5Zm7BB)F|~6# z1#>eZ9VH>0VDx9|;#7hFa8hPD9N0Vp1$3hE!g?YEUvFJwaNe;;2x3lgOl(^phA_$- z-aW=*1V0rIX0rqj z;yjn7m!6m~zzsWgjULSpT9w237w1KsXET1B%{BNT0Wv&)Z_2FG5qO^UEGO^dD?!2^ z7WWau{U&f-VqCut*EzxWVe!2Qe7+99hsFDKcwJZ4lpWJELP_wBLKxqW-!3xXTR+Hi zU*QzwN5pSabMFJK=2pvZ&q;wKjAu*AkAtX-7OpyWGe}9JxswSd=|~ZxE;^$&6}Gs* zOVk5+ebsWx^M}n@NrK<-x)RG9&gRpYgsoE89mg7N9QMS@^& z<38<|s6O|}`prj~=>m5g;53vs;XVog_sij`_$(s)3}|dv_?r zUkvXZco~j-PEY*&h;$!*=XS^|%q6Xs2?Wy@;%7cK2f^Pvb^78_ zzVJs+zhO63AS`pao>8R^1A4_94Y$OCfX~-1GDF56DzdT?H&XrJoN%~{zAn-ST+9=b zC3AzHzD!5DA_CxbvG%}l8`63CA3r~)^8(vn^nTUNr}kjOLFz!?24>w6c*d_EoGnQOYX}CSp5oUy_O>^l!#LHkdHSAb-VwK3P}K)lF(X z4ul?x&y`7WA+SWgL-`$dGSIx@6^xkC#X=Nf7iATrKtYyme>c*--LKBh(cX{x3I?&O zPwvM9n@O1JL?QAOndTF&;zs?h7ey~=r+tW%;;6Fq-!NUk&%4GqHvMPCm%$Z(|d-8I6RJ!6mdX?J(3-B1cc{=aOiGQuIye>!SJcQz8b z=l4&Kkom(yqjlP}$xxWk(iHox9swNtxj*~7_lG-&P7IXkg~IT0dAUADYk1MUrd4s; z5?rTMSSESGA<)_@YXHqh418+aOWz&^V{a2Jf20OO=VqCkte79M@4ipp-aBU90q`@% zR*1#N!4CGypB$0;?gKU4j%?h`p77*@|43e=7RJO{+@Y%&3W4846w{ENYPS=UmP}#{ zp>Mt~Idj^PB^Z?G{jV{5$AkH$mzGPf!r%d2T639)I}ANqqGp>gbXF;2oz1 z2YEn#wzv2Gs(2UxhXviUc-N4x;n=>0ov0tGPJt-F(+6DI@N(+$hYd> zxv_ij&;5Hbuq>@G@JitVv}V{G&C-ilw`hxEc9skhyU9(5z) zbA$qWcHol@HngV#hwz zU%ddVs;4e~VXz_cwXu_Tuj2WO#P{7HNvlvY7X>DMT;~|-;-PjfnMdrXI=1CPcCQWT zX=fc+J+`_U0jWA^!3{k=z@@Ku?z?*slvh@(j^ufRdi%n@C&-@-$B(5(-icd%QNUry z%GfiS0-tx1CY1!b!`%++6&BR@-@ST8MGE<^jmmPj>^vO-V!}lnVUNNg(<7IvV=@5x zXPTd@M+Lyrc2|?)0Mf^P;~_lN7zdR6JJO!<%fpcuhSVX|?LQ4q_%pMjCmXq6r+(7R`uh}fK z4-w}$&Xzx^bQ?u;D?!opfxYUMM7}CsRc`TqrUu;88nR{kB8cZJd|r+B&mS+C7`seVMwAK3Lu-ZhTJiO3(p;BFGZbr)D>b3WD<=mTUIT%f=| z5tN^Q`D1dN5xv?!|=V7t5gt^w^c53%!=ev>sP z@=wt`t%q^HA5eXYleaYY1?97v!E8}6pns@AnQbl%B70*#>Ryk8ht1<$s@`Z0@v2aTV?+{eHa>QRPbK@Mw?pF3|;%fkW|6W8}eUcm=D{D{OnT{rK z8RsiMwth}^hA?2f67r6*#|VB|{JO2-9s(UkgCgr!qk&Qp(>~aR_SLFa*(FDij~ZEz zi50qM!1=ngnE9}CK^%rMBN|aO0q-? z(Vh+aZ56#aHdg|NaX!TBgQzl~g`^1-DOXbxC=VWrPG5N64(>UB@J!NqA; z^$hUWzGc4R(}?r`I5Vmu-C(&(1(l*)9k=5$Xf0*Q?2#PWi$~zH#Q*U;dD^ zu>AGTCwK7Zl^Etidh6NE3_+c&Mj(@FabjZ0LRVqYe=8@RrGi2Waob`H0CM30L@arOAdT#|Pf+<{Uhg>jA+aE;3+@+s9w++%->aNaei@ud&ZFxl<^mU z>TOu=GciZlx7pUtJK_eXH;z*kJJ~{hwwNNBk{XOpN|si9@`G8WZw%52fza}tSAOb~ z8?+B9B)05!hisD14F}QQN`i&UiMOA;;9FmL(OG5}c%u=k74hye+*IDt{msA*NPnKs z{WXkyOTL<>-9q#6S7jF_n6G&Qr_$$&r^(3o>UQo1v*jgFIL*3;*WLk2$LrfB_qhX} zUveEBv94mauxz;zl#+WA8zS|vn2XlNx|u}|acdjGH4pXxfd&uIP$*QrRgdbT0sW;eifjOLjnSI!lj#qe|4c)4dE)j3S8t)Aj}wmiI^I^6$rNdrrMw<;uF zYKukaq`t>IFTu$8-v;xI|Pr7M#m=WH$ZDEErFi27r3c7GoqidM~P+ zZ=n`7F&d z)-54{cYgATyA0;iH(DFr-~=KXH$8<@oQXKcan}2+UR>(qFyJO-)L`?mBl7jqF$dAR z;%@L;q$iguMvQpA{;3JSR@W6ED(Ete=>;DmFYr7O@Z-Q9P$?0(PBzmO`iaIHI?{O* z7|(_h`1FF+_>uf;ZJ3n;VU21t2>2!REaz4jEDC)v3<|dba)Gt8*HT?kzQsDkkjE1F zBO@eHu+(e@g(eqhhk6|$FfKcDMl1x_$;NMBzsay7v3$l2J~bjIzr%XOGaSl zxINI+o(oc=3q$$=)C1c3p#(oYtDh72bKV5lL|Oh&yK7*!pmj-O&Yi%GsHn@|8ZFR# zLoZwD*UpVVf>L@*vB%78PcE@K9-w#le2Iben< zxu>xM4sh-PjZ2ulH5MUq=;JT6&w}GJ&R2UL@MZdWUW8A&72{VLY~kyu^R7KxnqVy0 z9I{abwz8`2r@HN-2Jr?d!w(#csnNjmD^ggn0HkP8- zo!}?(OJfbgqkdRw*XYOm`))8L^Lo*8$q8CDf1WS5u^@05=R>?cm=+jTKeMP!@F31} zgDFh37m#oGc;x9@?T5?>{>6C_=h?M0Icw#9fv`XGh`U9wudi}&kr-qHRb&K>3E4&tYp zF1C|~1E){R?hy$`aGFYZSj=S&1#%}`j8;R5y6AV&`@7aAeF`3;%(#`W$0U*U}+F_4;xaVfsOEX;vaY@v} zyZzVYLQ*__mMkHBi^`qg9tgu`PBecE-&+PC>Mx|YaE;Kbw%vL6z@_zTguif&^Hx!O zela}fV6cCU_SUH_Eu2d=s-b&y{cV$;H>U35peh-D9r+JRp8l;=4hFtPgGzq3gBDRd6lhF3Omd- zO=>)I!JhVc^6Q;Bpdyj~zWh@zV3|tIVnJ!p_B$h@B&h^`w-p9mn=XTU$E>Qqy}Azf zpYJ<5@U0MN{RjU9b7#QO>f`$L*O306Yrx6*p=`LJoAkmxCl~0~-!x3bAU|))?2J1< zia>fnd}M|p9Ud7Te^XhD{GaZdRWFj45${cH*$dr^k-1>5pW)Vl=3iQWC{C7qHiRs_ zxMx331ls%j; zDK8rdhKA}71iCY!`-JI1vhT5AamQ1P&)XB*NfL8CYIi=&9;S|QE-3?(1PdR!j_ZUU z;ag9$b_&Zpa4_F@fZnqb(zt|vN^+r6mIA-v@MO0*c#x#x54cwYzkelM27 z`7)Tc%2zZ*zSLq-ogd653&1}6JC>DH1b2^LeoMEb5^mpXZ!v!z31n=K&QxV(66bY~ zjFR(ZCBW>_A#rlQ754perRc61d!m0gI<+`v#q5gJT7}-+9g_|PJ!#|I#Yseb9v|>A z%*_mkFDK78{n9LeZ_WmWO*JmfRHIH)FQn(?1wYKG1 z4eZtpYaddH2eZ%S%VVjT@V4_1>)ynxP^~$9v~#c&mM&!Ocy>J>Z1y-jq)B_%qq{W+H>YyOOtxttMXA zh&TuhKJeG%*;V*<4~bog-XY>j(^1eTdw&@iyl`!^K)$Z$42{TsH==#2fN#i(GmVII z9A~ozR$tLd7lUDDQPq5KERnApUgSqYNqnLH;f=Z*CZ)vljeB}!eM~tG^45ZvjVRNI zyukCMF`(63bRm+!^`bK>l4;r1AgJC@S$wvFz^4NbT$XxX?U;ynRWQNx z!*hgB6blf#%hu~%0OzWNWwmDA1M9nwRw z9j9!)I_AoV_}-p+V|0o0Dm0P$zg9QOgEN~wZ;~oY2_C@l2FKety@dRr;T#xCD>YOx z&PMmm)1~6nWgx>X+u^!q2hI22-M7#yfIWTQLh|V-zRVBZF<-w5@(Q{f5ev&z*3KaHrS-2U=1 z6P7zE$2JF$j+!G!wiDtF95QrP5egTHrn7eT1}%H5^!9@w!9n>KeP;}WP@MbfxL=LiL~-?x zuRCHw!hG4TLPvG%(#XpUh@cXEtzuR|@Y6v@L$fmZaBR7>=u>Y|I%Ki#?u)sc1sN9_ zXP?lf6F7|XAzmKQ5Er1Vyd!yZ%1Oew?oELGPUuBU#KLvY3czf*JhkP$BN@I0EUPp{Oombq3$;4$tahWkz6 zy2QAC9j+rg6aH&D_Zd?@{I7ls>q!SGoPwsbPYH?zX>?M;dKMg$fjIN zStN$n2b8a>C09E=K{msXKd}S7-%dVTi$Hy+_J`8&P$nAbnYT2Dv7!CM73+kb7to%q z25Is5co2}?@=iZ99tE7STiOmh5wPfF^W6j8KbF{HEo*4*eI`oqxhc}keK9s|L6hnX z_EY9m@3?~Cl`rSPTI(QK+wFR%%r^`cc6krfGe!W#vSTmbonVj(qzsRE91POhqAE-o zAz;Dab6w*J+Uqc*&Ed231x3XGvR|7>cYHpLZEnm67-@q)G+%WA#(foeIoH(x=g${* z#^!bELO_@Pp5OWTK%lg;6%}|C2I&$7g4I8Cu*jwNH|-wj!w2E0a8osBv}Z2f*06%^ z(YR}>7*9nLJ|uRV`V&QGqJWuyhsBe=NTe@xQqEfv&9U;3HOa9=ffm_!%IOd^U)ju) zVb|x4{mgE1ut)o8g;pthII?3PJ1bYU!z&hOKiuxgsfh;HSxXI5!DwjE64ks>gM7vm zRJtCOdk|;yjh`*D4=gbJoVxLA^ZfwQtB4;pFjw(`n^VG`X{4SoGWT98*32Jhdh3*_orzVQ4ITk{vRcSF<3 zW}5sI`HE6fw318^66k*PdL-*B&c~3ShgTeUt&r%&hKd9l2X6g892Cbf^wV(fb zLjTuB?Ky39PkZ>a%`J4FGk52}vom5yA7(P7>e7x7cuE#uvk742nWXb+2$lJ!sR1xK0cg3hh?|!{V+c02rnp`N0Zxv;LnplifzkS z*b^Kt=D8dO_S8v&q6;B}?)ZmniUhhc2@F5`Hug|@Ici}&`%)>tJTV5dw^;^^5B5X- z-+Q_1UmUScqsJu8!**y6`sB7St3R~HAO8J2Ih633-cFY8I@fIjo8j&+U1!6)Or>pM*zz0-2Q8y&in1BJ1o8$VVPWX!OmZLV=DOE zov81`3`y9{9(!W?CaWnA65W9uTYRWq;!ecpvDY11HSKoT0HX+b-IyOd7C#+!#vSSX zwYhkSsiJ)hEyo|O9uZKwtdnGT^f2bmN$OV+D~%mL;83D^=nRpss|IoV!)`hf-?xxC zs6LOzAMU9=(BWG|@7bMxLphi~HWdG`hMdYBGRHBy&u1cm{(9u^1}#6}E4K^UsbUYw z34jhyU=yi2LRRm21&3#lrrS8_gA1ax%PW&p`dzZIO$I9|Zxg{`F(^ zp=htDvS-E(={^|;JS*YZ;|mX;hW${=Gl!CfsF-K(0zvV*dViO*3MM2{q9+j@4(;nK zWyvxw*mqCqE#shL1P*3t%%%#w`Va3&<7C29qQZ$d&{$Q!v~ngKG~(xL)#&4hxQZCR zSmAfY9egE3zeUKgW6}Flcj`6yz?t^C%Y4l4M4aO|ON~{T*QrGVx6nDY!W26qUrjGs zs=8PrJ&hIC5ozRyfInaEMl;o~AxIy_Q5#J%1`v6H=LugNt6Y1a3W4hpjPHcl)==Nm zROtC@#Q%L&REAYUH+aZZz8_!BEEc1eh~~!IXA+k zP#=(_YjD(%Et=o~9B**EO}zVPBDEzFcuqZXq1Cqmlcd6->V9;e#AaPr<)M8%4eb^G!;Q&< z@%QdV+Jf+H%X+z150JdE@lq}+h~VMBD@*LNYtAsjGvLh`&j%TAR&T7lRe-TEjeBs$ z1JiB4bn!UC8)KRJ7v%;WExwGB)*duFXg%m37BRJ&6<0Y0wun$Xmn1 zvrNfJ*-?;P5PGm%9Nh=@_pTN`v<4rny+xSMnc!>Ix#umLtKP7yf3eK%9LlHa#-p`o z{Rw`OjuARZZ5)I(ZHe++LcXaPBsaOwhPwboxVu_swgZ8~I3MEm!Tmgz`7_EY1P|go z*Gk66r)2F48n@O>_6%DS{EPD<&a>I4KeK8Ep!dj`0sYUmju?*T&#yLRC`CmBIsf6( zzCk}|A<=g8tu@4OUZ%6G7tpn~Bm7};A2Hl-0@o$R_3Ln*6MP>Q-+pM6ykCdc zb*&Qd&o5^noQ(fO|MZv#oYIt8jz@DXcwKbv3~ln~3&^i8pxeVNF^Z^*j`*2hI?{%o z%fEU6udlcTkI^!8Mgq=nc-;`!-_RYi>4D+(fszS-y(n!6+}V(NzSN2Q3%@t_1@T8f zS)VN*FGB>dktF;KVnur1x{Ev-$D%<=hb%}4_0zfCf8QCkO@=?)MmN1i;-T&J6T8)$ z5uhQ`yISEI1I#8`>xcfjfn;yx71JqaVC1U`I5OrBwAES}vQ?o_HZ#b>(HRaRcC{~` zp*{P@ETWgjeuu%CkL!o_KMsejakm@J#bHpKSAR79Dw@|@^ahMN2%?gC?n#Qd!pKe6 z3XdPI@W*ZYx|^XN1fJfddu!?P|NQx>{H5nwBcp*X{K-}f%FjK$AqC5MG0<@Md8OP= zPSDHYOip`i4TtE}@?O8O#4?}vKF=zMg7nzhc>M=)guh%{Uf^7ge;k;q?r>9&Lh~30 zDY6~TMZtQf??N-WW^@H zRO^5m)sYmCn3j<3MDt1hOS+E6JV_vEOjci;?7qCC#B;~qd6;{WT9;mgdbz_&c0|q^FXkRX6utMAf=V#c8UpyCELK6=TT_SxRi!j z2<;y>9UnI>5AcUl!A!l)gdiyT#QQ~bZ!|IIz@IvK%I9n(Z2oYWYeoJ@tt8X6>9{~+ut?Od-$@ezXA3x6{BESccA!V16-g|}>nO_WAfFd?)xWPVu8LrD zPp+87oYscY!J&LPJ{uxm^S!qg0=#XB?^`_2aYYy1>y1{smvGc4fyw*Rm+${}#jM%I zuKpB7`_1{A^)73%uoPQGI-3>(2iR^JTW0tHeV*sV`(A#qntlJ_H{?T%gkcL(2$yVn`nCJ`?Id>BIK{;*L9nSYb z{#3C&ZTvn&oZ~nftn;o*ha?V|^uL{EE&MNEU5+S+H%6O4;ueMTPpxp``HsvCX(%pw zL2GN{*5!l#L|))|;u+T(@Co@F;ke$Mnx44_`R?X-d~bU249yGu!>4Ocf7E*TM?>4B z%Kpg5{?KmCQj-^u0x=txEY^1;U6>J}*}e3Bu+Las?j&mfkw4GNE~ktAafgbv%5zJc z-tb7_o1nIIDhSemhyOSO_EBr7#K=7qu5$g!;WIabd|B0BFY;`$1@fx9iGvrQ={1Wt z%%%aqDYJ)?m@PKD{}`)?VjL0QM+!=AXv;>!0A;AOWDw$oFV#B&(7ZCv132E`czfOO z47*qt%>C8n1gFx1AI>FBg@HCgZ;=z05D@r@X{39n8WHl#l zdFdlx^?&^I?w(t96N?}G-8C2ViNzPyJsZpgOR)rQ3~q4n)WOD_;`Y!+D40Y>My!r za%+h>?IB^%wYBr(T#FanIAs{B@fFSU{lj6L5Apio@WG2BbZl0D^B~T1Y(s(j+SNnR zoX_FM>>pGyoPTj%#CcZ9P3Fi`id1;Z{y|J_ zuGN_lyo}>96?}iu&*Mh$H;((b-vq8pjO*9oIw$x(EWS5^&)4Diuz0@?uj?v-^gtEj z!`idIM^A6 zH8OBWUpx{%i!;o92t$6(Vbp8o+Zh12Pvz1NXTiRz&v{;?S>W+%yIajW6VwC)o_ybz z4YO7w-K!K?Fy7Ri?=qYQ6T7w!UN1_6Bn4KczcOgQeAY*#4EdDP-IY4RKaOr z8PPn_|M>a4#C958bIt*`BjF}tRM}9jn0V=VZ!W9{pL=qfi58pB=p~={6$mrWyPwE7 z1!2YZ`Fw}@^T6G}ZWZbe}ev?7XN)hx+Tb_abdg^1;2M zmfc_N8uYzT(UBjBz*0hvQ}jPA2ASBE4}&~q;BjWKoAOW@yiG2=V99tD^e;D3k&u>v z-h2|hO%b{ej&(fudJ6gV{5y@`zP&oV_Z)_w3+L^$jvYyZj~u6$_fBQNR$7C88OpXh4CPY3YPB1Xbr#Z2hOQ zAu;;2XmxKEFiuzI4t2x;H{JX>*Q{KS_OjX3&?^yfzUlIF zARQiBuP_`I$b^@q5u44=5<#9n1>`2P;Hs75j@#b3ur1cbBS2pOD$~E>`pO*V`i22pPw2yYjd@`VR@%)qP6CM!0gQboA%S8yL{K!;y0{L%eII_k& zAYJ|}4xKae#bEjH|46&;e=h&;jf9dSQ4vYWN+Ff)n3Yr{WP~Dn@4ff-viIJjl4zit zgi=OIg+j>;B{Sjs{5~Gt_xlg{ynlKA_R9Uf&$+I1KhHVWwafCu4fGs;B4zV-B7LcU zK7o@*d9t5ZI{<$ASI1D)%Gn^_jT3d#o53Jrqxa=ipeOuv3{}71?uIo;+|5mG&J?3I7PNa!}fmZpqPei7#RqY?X5_J)7_m#-dnDq zO}$#KZWaeyNv{OUr&1u6vOPy6GZ{qanSvRv1%WijZrh!sNJELdE0QV<>6Q6EiilLn z0h0-}QFf$9LpQV@(asVqaeIvulfLc2oay70)_l@a>p^H;8C8_stM5gG>bFGKNpM(YDH3iB*U{S=Vi)o z<$^VJ!==#iz1Ree&&zgZIXI6sDue_%5&5bw$Ru%|+k<#svfo%3JAW$Ft68aiW6lA) zx(I92ok5sY$y%EI%LM3MWBOW|ngKRlwbE*xaqvAbdsLV`8dO(;WN2xlpy2uIX0Zz> zU;g2TQrDdIVYf_JVbs`EWXK0M7qXHl!>%-3z<8dpdJ-qCvb{VvPOB;ug4t}AA)I1{dogz)D6DI(&kZD%lcA|LrcDc{`^ zopOYG`#mqMn}&$ z2XVyv^`!gWvK$r+7wF8WwGCs4yukB>qGc%Hd6YAO>jnMGKjC*S)Fu>%u%FE)@JT8* z`bXxk1h{hK?6U;EXiy*>Z`h`h2a%+OD?4_Fz-}|4&8mS&IQMv^Jc}=p$RD>Y%}~Kj zUr5<40YZZ-H9QV zPhFRRiHT)!WoItX+*4Chvhc=AW+jJ0KBf@yJy~AK$heUL)sY3_wQDh;e4^bnc3(Qd z132E`c&nGy=C;o@2`<)kMV-+Nhq{6?Ir-KksK0FX%ezPsd)Y#6mo5+o+bC~o`fDP6 z(lwo+Xf)U2^L%>xqkub+e~mZlgOfU`x)f=O>m8b_bm4G?z*6y*2*> zw@L=kgbNFfAI>NEspgsU4UL*e^3u<#@yr z4aa?MzIku^9}kD5jmYdWjDsH;#a40;1>t+kf=iuSIPh*9DHWdez1?ic;|PaizjrT@SBqSL4A(Y4OZ9eiOJZF|J>S>zv^Gu=w5tK3|9TVe$Jqysj&!lk%G{ zK)C;}F8USObaYHKAM%g(Rnm>*5_QqRZ)+qM`b?r8!0W4*Zgp~*$Y%!UH@t2TwRO-q zCmev`bwPKwIe*F{^xYT8b(+H^1Q`034_YHVGx|%yPwgMYL&o2G@ga`Ua3#8>U0MqH zhP?=B@tY2TBj+=>Uvvb#QvbULt$x`+i35u&)wL5^)Csw z)QT=!SR#Kh$~$4aSZEetxuKJCe}j2e&^6_!#5|feXU)BvjL*T;z6LiZ=Q6IITqp@lqg=NpuLdI zTjgI-znSvAcKB{uC%AvCxwHR42n?t?U0r$^0lU0UJd;8DtRWV0zO&bzLHs7tzOe`e zis%N%E2FmWrW_{Jstwvo}QwY&xrufadLAd#wgG=f18a_1i@epD|5zx z6Huz19=;&s0}eV~Zf(eiRppqL4+lcs z@%ySawefK2Pl(gFVmN4eP`wE2MBn#zzJgIoMzH>Tq1w9->2Ll!nQKfdOp#8>^_VZq zS@QNU5nbJ|%UA^hrt~=4*c~w)9lB8lG7qqG??`294ug9h+dY_1{)!eZ+Ic_nWPC6q!yQ1_TZ#!L`w z7|}I)@*2aB)P&qy`_MgTMIBvbiys7dvnk6DN5OcQar>)eNf0ZuNzoTXdoTaa=oN|- zKco-t_w`xQ_-hBudFy1uB(pnF->DRCTxNOej$JRg!D*x84JGrXq8}Ap|BKIp<25^* zEwJRz?rbI&K`_ljN1?V652x;jpT77y7;0p{*S|yhP3Ojq68;HP8>$QEF`Xb~ za(_lcB3~WqhrVx)ITO!&=*pcuRkV+{jX$J08GVni+)K0VEcD0LWH!}A(cDMJ&x^m8 zrQ$(v{!i#O^jnY$Zi+*k9|(QWf%g1(0zZlalIPrYQC%GPkWoUN1gaeY zq~UlUh+i^evZM$D_dorMF=&1_y5Q&hg?OY7rmq~5i}ds?TJP@@8*v2P`o$QQICNk7 zH_l@GuM&s|@MMuwM}cYsV^hzPJvKi%GBM4fPvD@wh&}TxcN~FtcfP$iRPZ{Ih=csA zU3JBxQQ&Z8mCEsXA`w>yH)x-zp}vUgwqIO9ht)wKN{Q7(#t(R-o2kxecoT7scF1`S0Z1_y;!p)Wn958k2h=oj2rQOYY)Fn9Y^!;yKZgFv`GgMd4cE2 z+abnIfg04O`-kfl&ZR>Z@yPG3=8WjOvH$RCr{u}@CZy-aK1v<#7lG>CjKAK4==<;4 z#Ns}=YaY;}VeXTaiF6bE?*pCNfBC~3S7UnK$QIT<_pnhu_5|(=`!2KxksxAv@Fw38 zPRx@(s{Grk59ItDb=6LChbQ#07I$o1Fv@+)cEab+VFE1|LoQ;GFd!=?kuu?kjc$hj zJc0V9czj2+)P0Kl9sylG%t^jTU;2Xxh15JZiQoYoZ*aUdu5|1dK|XTzjg(Kc51{=% zKJi?uz%WQn-TFv1Wr$sItx`HXf%sy zfj%WI8@9aL@WnJ!{meC_pZ^axs*nG&m$-}kc+A))JPxBdj>Od$uk9iT9zJIl_FXT^ z58M`db+nCyu%WIRrf_{rcw}F4Qt+`0#_(i^CMB9@n$hRe5Bz32*`DzxmNvQ~T>PrEDZB2{xKMa9DFG+K^auV}bc%wE!s?(gV4pNJi} zfW9aG@wKi+bh7t()UQ%FTw8H85T08;lnTy@Ao$5+`V1|9Tp-re9>=)N3;CE954uw! zebDdoU(CO|yAwE!^C4az^bGy-mN(KMco65gyjYqCiX(n-=Bqiy6sH-%zc?@AJlhg5 zVoQCA1PLSC_Fud1h~aon^_w;0K|lhmYSc5_X9)uNe#-%47v$gZkC$;go@mtCuW{O# z;BOrFaer9cUlsS^!u=X>U0+=P4c7_5_et^jI=l~y_c8Ih4zG*km3GmZ1(0C4*u#`Y zB!Q@le6yZCc&SMu>H)mITECTlYpj(7IKSa_gB5!=_0X0lhSvxE$}|0Rp6PIWNIBxB zODeiAQ9O0SEejgL4?p^|m;wPVj;B?#Gr=ZGq96nLLz*gfnN(#t!0{=1Umf9c=v<5m zWLqnN$EWg#cK*nPQ=#MZbUpcSguLn<+bQI4nB)0?8PyZ`-#^V_I;(Ib8Dhk?Xkzs; zAU1h#ou5D=EQVN)-xp7XAkzl+dgQB@M{m;eG(7<%>FompMw8$$^MtBy7n;+AALS0a z;y~~>pVNRI@_*ytQjjMl!H%0#aZXl#@W1{()h7L8ldvqfdCSx0!$>APPA}fJd@36_ zS~F~B8dSj@e)qI52Ega+)aiqf-qG$WEAfyxj{>EAcSdmGu?6{H(7w;MuxpY;?E~ z)m5^WMK%K-zL4C-$C(Rz#cxU(St6eiY3}o5@6tipfOUZ;JqMnL^9&an20;67^-Gcc z+rWdV<#F0lF0imNi`qsNgEQ0Cr`314@J4BUAG1d;+M^N3*Fg7ehhHqnJV+^lmqHh& z>1iu~GiIWdU9SMV9;_*xt<8buSVV-C2 zSZs0uyzrNcQ(P#4z)N>~2Ay&t%_H5MLns9*#}qA0(0#D${sO(kv=orvdOBu+?h8Ez zR=ZBNWI~FWs_D6qTv#eiJHsrV1hVZ#N;F0pAX9GKnnqRt_`do2&iIb$9hqSMZPD!g zp%4g+JpP+RV+$FiiJl!#vY@P$Ev(X(1hM8pc2W%4PiEBDv^K;xe%Ek#c; z4sB16MFH$}3-{5WD}etuZ_y!jJkX^^RXh3cbi&2Vun!j7Vxc(R{Zw>ZI&n&JjjLM@7QiqW&BNGDL3mvBedUR>F_8WHuSucKPs;Bq z#F}lSchV-ngVWd4MxEk__}ol(5u-Yu0CURnV!XGqp$D!~sB~8VEqAChRbdH)tDm#K z99jV%{oFhrFv^39+}UH_crBsmHfOyicLb5IhZhVzkH`5E&%3A4_*H{&F`Nzk^x-;h z5&RV{*B46lz)BwY|ETaSg5netwTT;r(4jWQsUw{MZ<3!i6=kMD>mASDe6(+K{LmR; zs=HMLezf`wrtQIUfKoJw+~Dwi*b{zic%(2G>7v&%s-pVh4PSq^u2&)Qg@67>|5832 z6{?(0LcYMyUz9D4C?vz%I`@@RQ<*T^O=Hp3mkbZZa^*Jf6v4>j2KrevcMwsjrkGfq zLEzvA&E4!j4@MDqx7@EOaVeyTh=VwWE%(+x1@Pb)rt;(110t?WjJ;^seiXt_G1nv0 zlCe-=C|$UnCLWZFZa<~G9Z$qLjmX{LQ}X>DWUe1xI()vAz^Cq# z4e*aH1?OplXZm;3VEX-@F@qzOko=HL@0orA)Ynm+tE))@-)MK`UhP04fAj)}swv%F z0aUXJ^pWqx^lKSqA;l{Av!{FNx#>Afo%3kS`xVn_`c7$`{-a#0eGinwLPH9g?+t8ca|(> z6Fh+94UV_=QzjDyRV0`)FxxHWgM3XcIC}9=6@b~KCqK224;&WYUA&F@Q3ii3vS0p8 zg&S+BygUfcC`kF$zr!_%{7Z{jy~DnT1Ut6zy72xChfy*sp>si{5dTXwWdrTi{4LiG zOf$)XRDN{VzFbZ4)19wRzmA8d!WnrPZd0jjxD;@;yMnxczzrjY-|AV#F;L%jD1hD} z3Je#`JHq&~2_6=CvW><$Ee9BL*Ife=#W6P|6{~^xpt1UAvb?YcHs810FV3C;l~4Ab z^!aEH?fcnd_HHXBa2e;TH(4L|WV+ptS#h+V_6cK!FP<5lIJE;gbo3y00niAmZVawe@ga7eUp90yyV7C^w zojYAi4&7(0YxHmEok{__yYd-qK}iG-<9vwM2PMI~uH+mrAb1exxz~>(N8QD9;YYS| z?!2BY!M`{!;yj!0ESeqUQVmbk_MQ$?wj=P|bg+_pyJs=z`&Cy@GiJk`C)wBTCdU!H zjN@_4^jpH@Etvww$PoK7T*(w)SxzQ4iqtm2bq(lh5<20p~ZoZct2lR$HRr zgW>go_+o_`X*vn=Zr@oVA$@fxKjj`P!we`~u1UD7mk#nT`2yCq(&1RV6g_`wHc&8o zB|N1-djjONVlsin@I6B>$zY}cRD3V)-@BR#mlexj^|0o_+iDYCUym^O)b(wjU|lFt zm-=tW4pvhn0e6DW5Pw-J_$4G4N{=UkD68Cr#&R;~?5jFcfchqFSr@qI4HKdKIJ>`J zb^=(2R`B~e9VJ>@saB4v_dG!`q6W%HVa&hf9`NnNroLEClBh@Cc$y*30eEh6u6y7 zEiJSf3%*9QOh)EepzoN&D(aUD)D62`xT%rZ$*h@7s7E@OOujhAoe~drwEopcr{du_ z8^;MT>LlomsFGH5P6i7ls~_ic(qL2khfy3wCJg>`_F2$~gDX4rFgMv`VCL!RvJ1#2 zbcAHq{VocnPIFt9Ms;MvVTs67 zC7S7A6Cfku`!XJqBE;Wo&zpk9_af3!-XP+vxcIC25}HHf$~=B@dou}MZQI4q<%{MK zckTD{YO%*IZIbO>qDX~<9yY#TrE`IsW)DM_V*#u_)p;~fo&bV}nbz!mQsAA&frM$S z2uxZgf%kX^`H9cr@O@X_y%Vo9pk7>ZS9eN2P-XB4O(PzA`YTnlXpVF_Sc8=p^+Qz+ zpE)q*0rkz&B>tcr$m!jANetE7Oup~GUAi0(u={c2+nO|ZUuK+{@;nOe@Dym>Mt`5# zU0JTvBr(YSRK%--?h|nwv}e9weo{Pvz`IeJ3R5AsJR%NC&#;}lv^@_F4JAIj+)+iu zm3JlIZ;lt)@GWJC{18JBr2jt1Zg(XH#3y)1ZoG^o;vC0Ww>gHxcWu#kV&PZKv%aB3 zzP>!USZKBG3f{eS6{4^Hd%t6cB_&H`VxZTA{Qi^ou|!_rdEztkV)$+%@?ZOh>(?bT z{#5#x!E#EShZw1lz^7d=5?ezMp6_AVv~~HN0As=!r??^7lOD8W5oL@6>AyC-cbF2u zaZd!lcVRq{Kap=!wq94bgZoGbxx_CtlM%+QcAu;iC^qWWE8|XLW#0Ni?jdQw@+I-( ztcMMxOb;#xQF~)uo(DRc$F1OSe&FF^vJx2LTg@q7CMP<~WTpDoRZ1oP9f zXG3cWfz86TiZUY;LZ^S_KD5h(zn6V9$n?qxe%dD#k~o(}f&;IVn{IHU??xlH4}71p z3EU7>uCd}q^D~iG6c+}KqJVm)OhkS9KOSbg@j!V1^>fu4wzC`pjV<|G6;T%J7V)f4k#Z4+t1YJ6S$1?)o@n$^A6*5=u0KZ3esK#-(vq- z=i6zZZzCF1`zRY2SlwwunhPMWFKe|6?Yq7jewe)El1=b+^Y7eJN-y*t>Vp~8c96h@ zC8tF)w2ohjBi{>w|M!BfClt z@B_|+IM4Ncm%6;Eng-w8w*`OwNDBo2{^LcQXQ{FroMH`2p=S5gq=2{(}8rC-^=rzBhr-*WrCw{Jsva>#~lBxf%Z~ChDRWiNn4Z`SOT*0I#nK z&q-f%uPX(d-|)IYmP+KdherU0*9Vu$qmy=Q3xaCZLSxOra9H~A)m6to7M>2i%@28= z05%NvmfFT~u)0WflCv-ozELkr@4XZb3al=b#b_Q&()EY#xr?YT>DhPvgB$W$`mWV+ zUMT@O$Yj4Ty$^*B`B`d>Pu|3RV;bqU3MIN%AE}69sCtj)=2Qelj-$B;{@33R+(CW% zjHx1(yxu4XJeP4^g*h4oD_==Uu7rT9_4NFle+axzXsUYSMRS7A5;q-oCBVGXv){+Jlc1yE`-!OU z2|!lfFq*bRLi-NQmpVq0z>tl3Iq6#fcC+P(abs{ISdQE;-3Q4Km@GSy_$3*V%uK>H z9-!|Ezc5Ol)I?A>sF?qukqj4Rm6EpwqWjT*fkd_|A#LGoX7&7 zZGVAu8f+y~mbOAcPG`;5c6S)MKhSlHLi&I_CaFJX8^YkRLDR+MAwxUMq$|NU%u66BC?sLNc4fG5%^b*l;TI(#zveZRK#t>xi#9RbdIgn?7%Mtd}Rw z7Yauf7FO7?d)KyIAyGI&8jbXAizH1Dw*DLTTE`W$J#KNb4d`Bc|H+u*#(*GDJjIw;MT3I zohq%~M0~ntrR|ZrV~0^)yjrUg5ej_`?iqLD5@4e-dO!&ER|^7iw-kcVoTUThoDlb3 zD0{M~T5K;_4|`WYpPaA1b&G8t=DYX zmk4u74|(qYNdQd;>$|;ENcVT5Nq_7^1nl)<(52~!0+Y?T&ZVSC(75MrU1|~p3|7_i zQAuuaK}uroRZs+Qq|?^iC}9S{PcqBFe^B38(Y+-~z!_WQW7@3s(Is&3!o9bQ=>Gx-N4_kul?%S z%$hT3KVdep;tV750?(7GH<4l^t%d}yPYq1d`lC53-SkeqbR^}1?Ye(`;Zo#>?t7lz!0EQ>xXy z_he@rIMlKDY&E!HY26wr3KXG4d_RcsHl$042GLVj+tn;QK#=DlYcWkC!2>wn;CO3! z=TQ6KG7@mnv_&z0A`Xs+aH9&3`22^RdU$uM2n59td(G6)>>hOz2^5=<`v zn5gCyQm;7^`R7qS{HPo0NRaD<$%?cELj~=xO))W~`!&V!d*daVBYEqH^`q~PDNDLC z3+^O>pW?I@0-Kn;ph;~kw7cjw@SGSLon(t5aD%o?u5= z_Jh~Xl#AA(Id`0|*PjXRoJt4eJhuI~M$dBP4f8)3>FzAueX&DJYuctV^cBA`-oR)-@Tpz+87WY@heYkL4VqDi3*MGxx zLhyZ3eD46CPs96|_LHUzz>XfBqpi5paIP>xQNKTn(qzd@;N( zX#FKKN;VS96}ucyvA zwHQ!8^XQ7qRxa2}ZRcmco&~W-t)J*|B!lI1HlwGBnJ{|fSwZKH7+|=O;aGGq1n@pG zv-tU6Uj#_-A~W{LqH7}HfB%!S-+51=c?HQqVH+BBPgi(ai^&kxM-(EyCyy+}!kfnJ z9iI=x!J~4akMu})k~#VKWTToNtTq37of{JY=Tz53Jb5Z1{6Wq z)xF#fY!o@bT9o}VY7X@sy;O`d`SXCneQmbSJP+7{@0*J~$$_%Fn-(RP@*q%r%;GZA zwZc!0P>x^fBH9>!K3(V$ZKI9_O{$rVi@hY!>ZpHe5fTXkr^fHRa6{iyc?X!ft|Y+4 z!q(-}O#whJIdU=i+i|EGo%#_(iR#et?U(7sGmv9KEUgZS1mmL@zxhp&U{x*3u@~(V zk}-Y$JOlD-(d4LheFnR3b1pz4_@noCv}XP3{_y1p}Fzl;7T6vB2ngutK&d32@!- zv&m$xN$hb*kF140DBBvIjKuEF_m;=_HJ+&2qwfjDB%7SQ0kI(WOY_e@*GxF}w;)dN zND|~+FrA7+^N0H+%9uRKEa2p{g2Hl_HF0VR@)hykH-+yr6xX))Al>iu((?PS?7{K< zyPBmR?$~%5c^T6#gwONA;b8(Pprd_PePr5T)%qAPy zUuLbUcqBl1bKR$MA4g~&^1g4nF9z;<32hvIoD3h?`toiBB!V+Mz53Py`EIbfW;UH8 zf#c_5Grw1H5JX$Csa2E#i$TiM65M7WfW36m-yKAp5@fY4Q zOSUgj-}N$^9`y|N!*)A-$&l^|2Y;4}-bKi#6_3y37a3L>?`mTO*Yd=!gp%Nrm0(9# zaxO&H?)Dc#^AnR(n;{lHxe#=7AJZvoIq-~?UAS5$g1N?07t|khBJwr&Nvh-s7n>$^t$GojM9QET=ULVK`C*mB(S!u2}VZrlhV9V6?vL_&r z$XD%4(wj=#{opMo%n=YCL%iQhhgPq?tM!LlTKh_G%l(%Zc%JypOsQ|NyAZg3Pob^b zR3R69uFEY3bLSBF^k~iSx}FaSFsbp?akT%@qh7qgr<@1m?|yyKza9$f!7V<0t;l~m zNpkHV+C#(hN25fo=|!s>xW7Iq3Nh$A@X9^=v-El3FZ_v4{2dp@ESTwW<5?`^exCgz zH01-91ILCXf_<@ppr37LnB~ED{rAHSy-aA3|CSP7>W!W2{;OJ~kLGy(#kXutO`HdCyutC-WRkS;#!? zse$P{=@5=si-kDeZ7i?uqrTAS#}L=PO!%B&Pc854O5|Ttg2}C;^O11k${O46{0In1 z8qWU2iu$Gj4(20XB+#j#(WQ<}gXSd0A&#HuUi%+E6{VFcjidixg7A&`c`*wA{ zg>`68>>q9{6b28Z_rj3_yCcAoUPPrYBbngg)DhQ*rDxDS?gh7Hw2_0cM;<+W zgChhYZTGG4$9iMe3M{mixzIht+>olm1xqZkqsQ9zZ7PAwIA7i5c=}1}Ml|g9`gTHC z80oOsEmTbeM8f$_wm56GbhsuwDX8C$^jw^=A1WnnuTZMZq2>!)+5$D-hFRnwEkUruA-KhwdbFLVU z=Wnj&KTJ-^g`|b7k0S^_=E*`gCs-~Myo}?qe=qsWd!*-r^EZzB>wjWL$mtTm<4a8m zZ9pdS3mU#4@zNJ+lEvj;heZMI4~zSV;k<+E665-HxXuZ_4~y?j;B^t+hsE#f@VY3s zgvUSUPZm)R;Putlb|ExBnFlz(;dR4~JT0~rmmmzU3m8jSTe=>jz1%w-qURB>eQ9qI zXt|5r#y}|mEBSo!)v+^Kpqq0pQokk-Ix~_|^tv-3@k7$Jn37zeRM6g$8JY!y zuQ3DXy=Xqsi_uNR})ufEY`G(jKlt z7@OR-FQcLW>dOtwZ!zbCvQAk#-$ViYHuC>@?IejfAM3|QbMP2p_&F*x)uneL9!zyc z@4ot)h~{>!RN^C${}9J){|g8AJ;X;!*b$6;jY&0d)c>BA#7Fujd@Zg>=ku?D7BFY zY!h>fLE7Q4Aw?-RGnoXU^7NB~X#X=;57QEU9Sd#Z?asp(dhZ$$^o}AKkh?BMH}WPE zuC$44dt;vntBL)WY|27`L;jEB99s;U|J5+OcPIh&w4O6&6heJg8<&7pi444!A@48oFVEUXzwa%`FP&}_?cNg6iNAD+BuRDP#q17nHSHV5KD)S)R7JC z?>TTo@!XZX=4fbfi)9J=6%F;TU$5;(dtb6^_e0ssl0e8<#HtbL!COq14jmVYff{kO zO))d{ymxo#Jl~THhw4)jpP~JF2}>zIBh+WoW{T}vA}4_+W9Sj4?P%{YVn+A9>m3-X zupVmoe_fV;XHjeQ(@&xa@Rx0@#&Dk-rd!WcbfY7XsPC*rKUrM&3C6y0%vH&SMuCU^ zxb!TlFcV0BY<}GW=))490WU*(%+oR0~|k;^8#Nm z@n(Z~W9^^b69s_v%2hcyqy2_xPBs`r-@zN?Z*JYofK#7yrY^;z`NW$YLK08opeb~Y z_35@SXyg2SI7&SQHoQMBGLSpLWs7q>o9dY$mwi3ADA*G_EMmCcsOC=KV3J>#C$lBe znf`}&hIC&XD{C`|I7lZ2I!wLJgn+U9FxQeIBCfKHjjL{;`A%mK;f>z+cEF`{jq3cR zD7c)Z9d-F)G!f@G&N|buonRf$0)Lt3HSY$I@6^A1ZAp@xk!cSA7RK#QR?K6G_xs-C zR*G>}01TVc{?%0`5qW{<$z|QW21P|~1g?L$znMWVmj~8&mT1iG^$4h$UlGsqjDu@O2le(=Wf1xEcRhsTc9l0QaWuq~ z`b2`*X(gVDjeKa)+>Dnz%!cXTFccQmjfdYy)##Ew`NJ`mcR#+J2*TO}1+KWNJ(Qu& zs!+ztvZ3XI^|G>nAEt76NzN}0&GY_?@0b-qvM*?k*v33-al35zRAC9|i-o%~;2ezn@9fWRa>?IDecUs#QlB&vfqmEGh+A}M z{=`S?Ts~bP!B0OFf+wkuARV#wO^m%C%}G1**3I&z61c&cNC6kSgP?|L^RlNn>T5ah zc^+r~kB7zN_t-WL#X}AorFBN@Ic%V9oYUb%5G4P&rMR}~j~#2Q)Kff-=1KUq)a7dJ zF#k`mX3UvE;4;ovGu0J`wF+V&Zld2l8u>^Sjyd52|<1o&Lczw|NIBGh)TaVyDoae4nTo&k+Cjn(=rP0eQ zdxC#)Uc`C!&U0Wjc$yFOw6Ee_B7HC%&)>Xy>(oV80DJU{ElHe-&^DrfYvaXP4CiGW zj}2Aq%{h2H3I4`$Uv;Sd!v2&b;PY%tv)9T2Uyp=ti{}B5?RA0D6y@92z4n^dXdg!Y zpIxwf@xA6*J-S@MiCs27Z-9qMxhAd||H@x)<1$5w%$T73mc;mM~DY#v^}n zQrSsTEG%#e%*h{|%j1C-BO-KP6}9gSi@5kyH+(feX35 zIEe-AmD{M1-6=?h(!^6vp=eL#K5u#y?^-JQ&YM&A0koG;HFi0-0pXGl?~-3yKKSfu zru}rw7dxya8ui&T8`>W(cd4Q}5Py&10-8m2mU+Op?s-X_CI?P(o0L4R%LUQvd%Y*y zVu@46W$~@bld~9pw%;>r)S!)nsy#ffbac^P#ayTdXK5s;1jllHIhz3V4Q!{=Hxr<7 z|J$nK0e=V;d$F6#2;jLe!#h^gUub?mp(@0W^wCASu3phX^LDHcUNNJ2YLfe}U^dGz zI2@9qZ)KYbWmg;AEX|M(xb#+)Ol=~xJo4QckLJyJc|%H1u#+Ht{PD`s0(2ic`rbL3 zJrdSh3(_Re-h}xH>6=lqsmQllZj=e>5X86npXyUf0EM$9Rt8+5z}wj=7LJ($grH_M>CaLXHiN4XVUfPDTK z74u~m%yi`MgF`ow4uR|#%YJ3#-*Js)fmbUNj!6Cd_|+f+7)PE(@_&he#u_CdH#CpA zo#|n&GI}5TIge4=c6*?`yxd)ysP0T>Q_eZ-mWK2bm6xu|BqJRnk4bN&gQg@C$92Js z1o!v?Bh1`LQ08dLZJwV67Yw+fnUNn?0tkpnw}%jC-vVWjfolS=G9Gvtvd0mNl(x{T z_je`gJLmTGN2flxVS_Z>o zd7l+q?xt-_1^N4LX`7B^!gABGxc>fN%%I%)ZTf5?P{n%AkOk`-k483 zX!f48*pB9yNZl9f3g}Yc5Eng`h~`oQGqO)?BHi#S2mUNiqy6+_`>*9?%6mfiY@~hk z!E|uapi$;Lc?WY04QFC_89?A*w_EO-8v6dh@$N@srTb3KbRrI33-*e{qx(PBTL$gy zY(+#|x${4nV@3Dco;&LHdOk%ua=Z2m%accd^wHIBx4tkU&T*X8eE6#4kZ&q*Ejc*M zTni-fHS>oWGwpLvcvAMbd4`)rykF4|leYWNJ~}PWDgW8$=$_$UUf_9>yO($ONeZ-w z{14ZsT`exjb?3nkr`@ck(K!S@`H$c5Ek^qjZwpqx&^(BM>34E7bPah>H8K$=@+cJS zA3T0X#t{Yn^Y)!z(VQ%vKa-@uH)|Qlr`jXUO7CnKe0ws|SmKliqTA?Ll{5sg*u7d; zop!_nV^m5|i;oA89oEe4==H>k%OBY(c4@)8u96=|H?v{ph4{IB-CkHfo!q2BInv+y z7vC2WY_NueR5;z-;xCbd?#V|3_8Xo=`vw1a0LL2~Z$<0qHTU@@!}hy$8As7PK%Yq1 z(`7X0J$FvD%D;0Dmj3I|RNt|9FweZIJeM2=dmNthA52AcixP|aJ~Kxm|1OBviYdrN zf_Tc6H^HUoxlSf*X+-A00h_C(YS9Vs=eE7LX-+B##D&Ye)yXILX=a&2kDV_ZY7S|{ za-|2u7DiQj#~Agy{^7 z7UCGMTuXwYXbi}u?yG7gxnU1g`^O`VV<2e5x3VSUHYOK3F`%ZBPT(@mS2rrJyNY9R zaD6gvd}-Da7(HxLUZDA+W1Y!Gf6US#^NE4>e&$U0@o{&lUkSQz9H933-HCjY|M4|V z&~SMqZ8BufR^BN^dMppvlm%R+G6{b2|MQpTj8zbp5^z3hyeta5=Cw!P^+zE+NA~tT zPr?Ws#`zGh4@_w%+KT0s2_D3GPP63v)4S&JK#$q!n0Fcw{EPD<&aQ-X0_jWO{Eg#&X>fP3 zOgahj%WgLS(t$hD-Yv$w;Rz!x;T);_XkJz~%-X8O7hLbx>jZiU6TE}_h~a({xGpiF zU-wT(4zG*wy$O824)4R__jPzZfY(=c%?>=mfAiqeKYqjO2Eo5{G-nb6FuXos7t+?7 zlTQW3%L;*yyi(x$n?>5%TbZD*(RcIh4)nfX72Ol=LVK9cY)u#{vf=%=iH9jH-tc0k zj9OK;6lf0)v6533gCzg-!4++!U-j?bT`?Z%TR#~D&4_x42Qov!Ye~%VrDt!8E-ND3+?)mhL1gMcO4pl^0$PjBH?4Z8i zKCuV!vRXh%8GRf`-t2W^I*W7%tUpLPD0svF`ujntl_!nsGQf<*{Gn@qI^;9|EKyC) zgcfyg8S)hcSXD}!_j~0J+r`vlWwm^;-q}_$CgWUKb5VTZ%2@z6L}+$9JxhU3sofs= znP{K%=x3P$kxU4zyq$JHClflipI(B#9FTR%yV}HD2@R8}3SkEfF|iqGC(GUfq?32~ zizQnj;Pv_N;|Rurl2Y)hTzPX;v=EN+b`6PqD}n<}4Ofn$eLwu%y-+eQ<>CbR`7o&R zsL$h6Fy0+*Fsq#fwWJYIe<9RoiSpt|luv`n4(`I*j!bAx_t&L576>Q#x$ge3K7^UA zxDR^NXTu={CE)*2QOV5H|;5enuB>gbw5g= zaJZ4blZ%Otp>ufXyO?Y}k^IIY_2!~y5;T4x>9$Ge_(bPp`$ zfmq~@XFCFl5Feg=6pFqRDCUww`EDjcQ+qQFXGH?k=~e7JY=!#3A^ZoEtW$uBj<(+i zeV4|*;(d1A1Kn5kitWgrMLK?+@=hMgY2e%#B3gPn4{-lw%D6^ba>X>*BcL;SE<6C3 zbZuD-15AN8_j`S7AzfKS~uIRWXw zzT=WvG9Qj0PHT&jj@qU$xclPAcU_$n$n1Rgj%_6hZWw#&eblnRUY5%Co_d%GAi zI=s#UiAOdY=3GS}UCgMy{S4ZB8O=N|_#y-LxUj3rDwl%1y`aR=H(9_mr=RtODjr;& zcTCvu=Rsy)IkV;IV(?nC(jR)94~FI$Z8y>Ub|>FX>%(N`z^Q0Mx|YuKwd zPpsX9k)E4o6Voo%7$QD*Pjn4TqPkt>!^@-FdNW|-(Z;1Rvobif>BSP#QV5VUTN=S# z1_=R*4xdnejg0d0y49u;(4PqzroI_M>;TP#hMCA(-aImf@E>$62y!zp4zOT9P zIqyXy6Y9HYggdw?pgn$#IR@)+z6{v1PAU9^^a_NeO!QUr3*elEjIxHT4Jc$(bvxco zCU7vh&GJS%x}U)D?ocdd<==pC;9neYjQ0q7=j20D$V`wC*L@4u93l~fmd*g^W$8pw{oBs4;d(_{r)tn)jgc12F(@zW0 z*$g+>QO4dbj-F?!Pj6d!b~$o=G!`Bl5y2`--fH$FWkI;}j$S`19hjTA{O8LjS1hxd zXRz(36VRUj>@Bgk0-OqCr}9$0G3yntyYb`sM122EXgxl{l@BymY0BUI$pF#JXeWmc z*#r;Zc!T5Z>Bp=eYmyQ{vG&&R!9ujhdV>9=w^SZf@5wB@^uZaH#0$rVbh2RkGD9jI z+A};xo@A+KnGa&?+pRpw&4~OXcd*!Rg7yZuCr%GfbwohSv=V=1axrY3PyTFVnG4%g zST83FWWg>T@-rX#D+zvT)X5zfr$l=oI;ykxSPPQ)o zEfY$r*XdY1ZxQ^9^CHf(iVAAeYc>^-@Z*&5%c2_uo+qt+CsWWU0(%eIOsTL8D7E*d z+Zh*5@G_3a>-ne5_0fG2&fhrh@0g*TO=?VmvW>o%%?FC0BL7D032{5%4wiMMolk|p zLn!!!K92v`9s!0&7UIaBg@LTh z%hNu^5zs1OS{9=i4Hp_3-?(7*P(pjqJsi#XPtwHPIE?lR^j8)n+mJ3JUQgy39;5jl z<_PrND{oBsod}(l8a>^wN~$67f_t%^5%vA?`9Sr#o4n7Ff6u*@+u7r7VK8^QbtFqJ z7<`Y3lzY?$L4?;aiL=Fluyiw~hGESO@`V@=*>rjW2h*lHR_PBvJkOOxMVZ3?`uhVy zJ>oa-$3Sh!udC_N(LnaOnu`PNpJ@rlxA*=!j@fF6A=X9y8I4Re)_d$RC#f&Ku0b&{ z`wBG993nx^@r>+s+Hhzqid?YRAi;;WRO#>##ET5(64GejYJ1DE4Gwfa{p>ZM+_pZkKme&)}ewZ{3-L_@aC)qofvG=M_B7DA- z?fJkzkT^r6^Eu7FssMhPjOwKtS%(5Wv+lRo2P0uznW;Pi%{jA4{`kMrzWg7`_I*Ev z7Eg*&NrkdimJ*S~SqMpmtflO`7{)fXnK5=_%h+WPMbV-~a#>1+@RYS^UkQIofA7X~`sGQxL@};0Exc4+wXkk=(QU=wTOuLz9?j)JcQl-;z18YB8Vv#eipovD zkB9L23`tscGCZglp?CyD!0NHeR8@y42;QDQli-~Kmp3T%6_|u$pT!TS4B5EP3ziP$ z94fqUFTQm0gaxGOFD@3o8VeV*9xoWmi3B0Y`Cj%W8TyY{EphqDhFmwkGdE6QeeV0( z^*Nr7c;2kCqa5#j5a&vc(!(? z5ziSB_#s_fXXC4#0zr#ndX8h>pW0DT%MA8|MMYm1PDC=HsCmQFDqII~oE^Q|ThE3( z2LXp1taJTn**P&k2RcyZ3a_4C9tZT3KN7h`LLol9`&!K*T+hqaYO^!kh!*V>=Xz|7 z_nQ9VVAcl{ftl+JAnDn ztut&+g}Or?X|acxxR2GFW$YV9-g5$H9p#jqXst=0P#ych3+oaS@mfmLHsYPKf|jGF zGnsh)fq1^fp1kkotC`TFy4sP2=e>xyAmYTK!Ck%E(1*nJdL4yjU-0`Z-jmk7HJ?V} z)3s8~CH8Kq5JCy-TaW*D!39jAgU>Ty%$W0GM1TR2r`ek2esnl(v;UXMcrY11TO@ye z%P#YQwZ?hh+n0vHi>W2pS1uFO7Jb*aco{1Xq?Y(3xW_`4^$fpE|7i%+*cUL7?}NT% zelVT*VhhVS4GV?KvmouJ#8dVOAEZl*kWfj-{eZvs`>sHC&d-r#2rZCLXi>)XY~~N0 zPF&9=c!0ng0&lC#YZhOZV}W|@>P%JHD4?q!Q=idFhTbF1Bbj=~;COfWzn@OW!r6VO zRxv&T_MbVX7=`; z@O12gp?xy6M_i+9U}cf~6jLY+MlmyTX(&=+RP0+(-zVo70I3hdsl! zZ5|dhs1=e>KEm@K5BD~PxC!7rx83Z@xh)%2AxkKps^`syN0JYNVl>=Pxb21*t$!on z$-aoglTMmwzHt+GbqUs;_>0Q~U&XFFaf8jl_j^Z}!?hY~Fj;E4Wr;=t_L*o)vocG8 z`Vg)c6<;{;$?5)XYIITS3uSR|R`>srd_)^qi^&n6IPP%IS#8gdV{)qbUs{51GZ zQk5d$gTz}6q^{**om|VGp9%u7-{YT~AqjXMl)zzv4~hJs&D$}pUf~1~JV@|dV^@~I z^X;)vuTEFi4!ul@z$4@^LL#O#;PIhfvKyabog9L{3EbbX=5^#ITzAy}^RLmTma{N<`@$pM0B_jceo}tv z8oW;!XejKMPlt0du69aPX_9xa&_=Y^E@#pomhcfH{3ZxpVnV-;&^aOYVTrtmn6D%H zuta`EwEx+>v4rgX|qi@ZC4$+@WS) z_+P)js3n50TQmc{-$>_*Gv>gtZf~J=U+|nn@!O+X_l=OA-@TWy4{4D8=0uBWF9Yc% zlmtbn=E2=WB_y3)2xa^DG`q0QhyI^-6|?&V(75rU{<5pNaB1A({dV4b_;OU=UqLJ% zHtfquR#{XECLtwads8EkC*?(^SV?QB(oZL$*3H@SI!S+c9+!i2`VlvrphH!}~{BoZ4^^ z>|g!$llDF3IM6$C_}9Wp&jV-*UiHesV|W$#X!f@ApSp9DoPzds!8+aC5o8 z{rvYtkhTj_GsgYl%2P2$y^47Lu4ls0BOn9MWAVN}ua^l=>`!)ld>sR=c9n)NasTf0 z?4VTRNG2T6*eKLl7D?vI&)y`)y*uCo{3(a{o0lk}wMyZe-Hs%K^I|FCPCPHLcH4=J z&npU`b@1~yx2Jd?V#(euW)dm5-rqx)^Kye&r9S5Ub|3Pz3=%vXq;Uq!laqFhp22$2 z0)r~&mj!~R@S5qmRUxQKR9pLXR5DDw+qdv1)-O>B4E8UyE`Ya%8I~=qBsj8UX5uu~ zA-R4ewCGzY)(6>RCM!)(heve7Z>es9P_q1a__TQY_>2PB$e-t*>T}K=IOn1 zdAv^&HsdfjYtMlqN3o6%^=IK=whrS6?nB6(sch02_5#Yclyy`bcf={dH^8%>hXc%W zCv%R@QBlh4L?>+l2ASW<_V;)5STND{mUph~KsKDdxTBwj_uq*7DaN60iV84CcZLIZ zdgkH%6)!>UkE+F>`Q^J~&DJc4R+MG2@m!Yq?PEen{s4>*|CX%|U59!H%)`L180=fR5iK{m~|{Lppriw7@H(n%bw)TckWc{~#cyi?>iX4|gMBkw_BhtQDL z!9CUM>JQ@Jl4>!2+QsbxIx#dO*6j$O1{XeTf7TL z%Uqa?ADiO7=imFy7OHuEtS1Nf=@HC3=~S&j)xx*g#A>P;%NJGF1&mQ04Zkg2U(6biun*_yNGq=Lx! zn;#!t-I$&Pd^aBNvVX*eMGgGlse^^kUU(eP~+f&)0blh`RV9G;$5d?tjqW8j76cfzblfpTFNW;3)lbt z;xfTkO?$6RRT`u~kCKHJ)s_OOT5WrZA0$Fv3M(u2ejW_7+6ung6+kFMDg3u&3`BHn zX7N4wkFP~`%B&o#%EWzanrD_}3LKnvT`tjmj^wBA@qCy`N<{e!c4>y=_sI^PE0bDv z$#A(ibZfG0ED$(M@F9^OWVgJlE~~L5d63{aCD&h~>(1b5lMAkV2}$lG{}Q}N@NAEV zk-Eucd@oZbEpo(y5P|2H(#9irR}_OX+AHt!F%7!9T#PzR%t&4)@c8HPJ)a$EbdtXb z+;6Je#!AZPV4tVgUNy1>ppmPXpHNMQ7-9PmgEs7^BhU8a&18UiOzg1rTPc!v`a4d3 z`nV|)S`Mi0`KDb$`pOeNVuarWp-W8Y*AY4=#6B#sH$lwT5&0ESuOsq0B5&CEL(}zc zK@=kL1LsECORH=z^mUI+;g0qIbkfQ4hthBudN7#f%sCo~=%1^Dr)BAA-vJ(vpLj20 zGgoQkrmvxBN;l*Ib$0~n?w1KJiw;MUtJFgNp#>qL|9io4;|)F+8hW9Vpm4qV3?g)u zg$pw;pSKT0{cQz>q8maGvCrEuy#AQ59}TSyd2!*wU?BRmMTC_j6pS9reGCun@kO>WF zkLy%eyevdKA7V~YDYw|?MtTIgn$O&L6#F*$CArj=KZ!&JNVmFI%7;8ZJ$(Pg1^Yx3 z=c4eK^&2cakzSSeVd+F4H1(xuH14N2S`qZT`CV@Snu)O;dnn|G^n$H(;inrKwX<>N zj@yA^Iqz>vtfin?ZZoEKaVVO!OBw#T!5gjbrwqDIP|(dD-djF~Mkv+n`nUXHZ&Z_I z+ZAt0MaF#E`pfY5pLuWiOZ@IpbgMhlegE?yRB(psl-w4K=4N?u}vN<}l{2C}?+ zXy{V?+w-@ZX{fv4&zgPv15m`9y|WL6tWn?cPdOP%?&!6_vDLe30#MfJ0ftPxIU?R? zqH-jvtipC7hci`zPFrmta%QuxU5h2+5{Xo_Y7Rh-Zo4>o+>xl=cgVkdT?kT0AKb4r z5r8TVu8`id*c{DjNi9f~GzH>p6wYxDS!@M#$-303VKrpLbWt9?WCD|(sbgh4-ngDb zS1)>Niqv*baCgR2QK7h~YoHB|hr1F%KU-|k?|#kH6hm|LqIuf}H_KqOuU*67E|rQ7 zo^SBC3ActtXQHR3hxJg1%j3}{UtG|sMz2 zoY6eP+vTaA=`;B8U+?%FgzSn&4~ zDe=DPqmUmAeBALcSkfIep9q~~O1Y8u^VZGerDN$-*je$!skP4+ab*mBTI?2vKK$6- zx=Y;+N!)zHdtW0A*=OZ1JD9u~Ir21J#P9eWH zPd%Qdc_LpciKKmua75rocKfiGrY{q{mzDSO)x`4?RjbX>bFAy4x^TpVKLnkf2oVp& z_^(rG^YNpZKYD&n*U87z9VuJvGZy@5f=F-dr{{&MYaPWNYJbeUMxX<lcnz=DDK0)gmJ@-|6VuyjI06<8jT}DD}NtRyd%F z)+TE~B_9MgFF()8qQI@{%7G8pj6w9BLop5eFqmA-DGyZjfMTtaMlDoV@_ws`xr`Y^ z(a@se%`Z0X)z`PqFfA71>1?i3I%0~PzPGBZ&q#xO%s-dL)?v-s?zG;9)@^F;r!?}*bj;MCw{#7~7(y)J0hjT*L z4!pWK%8Vu-u)o#KPZ4xM+PU5>7mv7r##M=vEjE56E)#q;PBU7eYpIPE9DMa5 z__rUjPA-h!^UjClr?9%uY43pn0+I_?nN0g3-`y4&Z=SfJ&!bk`hpyQp0*47cB=Q5R zw0DMC6g!d!37(5xwbQ>~$OYZ1Qht`*=R)!?!HWdX_FTJjYt|S41C{;5Q;~c+Ri3*~Z%+i2OjMT`v08 z4eTG^DmX2Heeb#SYh-q@Vqu(VVbG6tgqzbYjr(K2rj<_jeqUbBhW;d{bpm*=enM|m zWivGm&*OBKKVOy#*G;bQ28G0t^ZxNZCcRpMLE!UJ&U!_UKk1_-sK71Di~AeL_ByO_ z35X)~+tLKJ^t4B@p2O=$;vLIzU#a#~#K2q81J zo)#SzLEM6yWDci#z&y8y=^EWLDDzyAk{k~k=;%zB#QA;w-r#KpdmMVN`!v5x0 z1QrBdx`2JS8m86UJL5rNbmfy+IvXVU3%PD|rh{etazU*MXVm#4RDLG|`yc$R%Mtr8 zf7-$puf^|Ad-~r5Fh8b1?p@)enGjrWE}n1*Qi~wZ9qiJxCyyQj;v9HNSI@%F)!a*D z;h(x_$X68ni7diF(5C(HO_?Yd=>MUeor3$fd?n)#w0z**aK-ET#Ul+x6u&%fP7Dk! zJz$wCl>!>K+uDtBU-WqA4$ZyqqCq4qLn-Pm9r|zHOx=y^P&`j{ch76$dHWQ`hVTEx z!HbGYy+bD=V6?Bzj!T0Dxn~tcuC9-QDt!gt{-dElDbsD*WfKRklP~#%9ysv|sRHEtFaX^mom*~3zERjfN@EcnIY=I3azi`cA`hU+;eSvOblKEXcE z-uoVz??{HseIBM2%M!rEc6ERJ1Oo&ciuoeBun${$%=}^JXn1qD@6?zD_TzGTLa`C| z1nH%HcZNmioMHTOTok1=3hckTjaJuTy^77zLxXtU;B-pJ@4=Wf*expXDi~POZ!rlRRuc<6a#V^>g=0rEm6b`^;Mus7owzw>@3_M=@`{3|~Z^bM70oqH4D=*r^I%g>d@QVb>UIf1h+w(h2<^x|OWv0C1)=YC|op6(Fy=O9-QHu3KBefZz={lO_{ z*M1!Y+mh~bMP3Uf!NY)G{`$M(V7zKj>2Akdc}?VpTzxkIeJ!obrYUvknZOf{ulv^2PGQlSoeeA0RnFb zyxlqY%^+O|ymW;n9S%bqDAQXPhvKJf>2?F1fyKk%YrotqTP1Z*5SWpi6Cw%=$+*h5T zDd;>-C;3V8@MMfMgAUs-2>iRhIUIiXeq|TB#*?@)WbwGnJJcVVj@HV}$p=H3ep1K* z=6^gaQucb}(vm1>h$`G=c6BG(9Diat`#=xJjLFUR*JK$69>u6$WK{C-w>934z0`AN8?;e7ud?0;xh z)~L}C29q)x%){JFc%z-F@S`LY2plH(kjM{?7u%%{tW_p?kl;D-DjBEJj41forul(e zNSfqdf)@#%RnoSuvLD5JkfKG_@0*Mef#<9*mlhuy!1E(qYlWZ6M}hJpU9oy2Hclvq^Ez61*X$$dN<(ywdCuHoV1OOpsp+GQ=%0CzB&_?{lEM` zcQjt=51$yxJGMW={{)0lpdigZ{<{YU+729ie5=F}9`_kF+alX=YE!peE=nvgY-(nJ!2K$lh* zlh!1wNy~{zlY{6?x>ulQ5S>W+zvqp-{23(lc?QLcN<#lGqjW@BP7M7+R!%Hh?EmY* zrS)qD9Axm|;a)$GTSS6V4#^3hXWn3W+H_Yu9~sI@iR*5FKb&tO#rNC$!3bV?)25T2 zuulHauIlxHP*dWc@cArc$9$}^OKsImtUt))`9-#`p|PHyhHHCu z`~slxCm}D%g+v?}Ts_&9KV&Au15EQ&FAiNe|+Et1C#t$ zcAoTsp`B$rwVb`6N1gUd;H4=@R_;CfUCRqbz0Oxuci>o`J5tfdYs2jeZA*#2rw>x# zub>Z`*k=li?M!<0GK>OWWLt9x1$an*KlOU2jVp|0HYmkQ_`t}5+ICkjFW5uapt7_? z1Y%H0!R~HvnCCD~p4x(kilIimRY4~>cb{G_wHf^#2CwOw^AUkR-EH!6v^8S=z`S!H z76(|}D8B4i9I2y1v9v<_WF~su&$#CVKa;?OFY(GlNmm%H^mRTJ9*KCjec%=yb_L^b zKECN26qt3srLsEh3$^Q}v#NWXz-Z(}z2&MG@OT-#>^$HFswc!VxR;&5ZfeUe4>emD z8apbfEMyIah??*&K_WP2~y%CrH+n~ zVKJ!TIp;YqU=zE?Fj4jfz8F64g-#NzV;%Hd{csRMKwTW2n#HuS@k*sj%!C)}aJ~i^~4-twYqxPxsdcmQF z?T+Ln7bx$O)^#r+K;0$I#0{KyP(0u;(N;$Q9b%r_A{QR`UCSlpRmkA$eR`9ulNVH{ zD~*+mqwnYTYnfyf0xwqvQyb{2a5MITmuQ{`i0#eklm#33}pU=mkWZfT!L)p7463=xweH zI~FeuRD|wLv-JbZ;9c>Lcmu&QvuQqi4+GX3NiGQ@0U**Oaj5;fA8@|auAa~EgN{#w z>-Q}a;WK;K>*F(ikatw#pwyN?c*ZO4bC{0={4EVtUh$4lmGgiQ;_Cx~6sGKntKP6_ zKDM*pED(_ByHccM0dPy_?H=hqfB44ZTa~KIfXTgX&vQ4^z;{nDN9QsfBxd&wx&~4} zpQ?Cr%Sk#Y@;*FnD(M1+-_%dSk`2h$&nVtAc3{;>mR2HN+}Iu>BdoZ#PkRDe)6<^g zYNjwKBhA~yD4A1Jy|$808TzH}y?!X3%bMsp@luE#&+W)Hxbs3vzlYMO7z{!F*ktfiKYk z#H%Lm-cU1x{=C?P9>fMPJ;U^^<=p3K?+@z#(LckXA!P#(A1Lk8F^DJ%fHS{arX*#( z!8UdF$}KX9rJE%s%BLIXL4fJ(9%Q;;ke|WQX&JsJrg7rF@WfJVi10XorMt^i=B@Kz z0^saaB}vAb2xTULJr5!>So%D0e8lk1DPNceol<{>KVbTf>Asp!M#BcZK#8ywQLGR!>H?W_g&9vf5hy zYL);G_s%zvb3#Cd{lk<{86AcT;@G#?qdc)Z?)^>F4Nl)(xBs&N`n!LZb(lP71us(b zCA=QfVe|*?q7%~@ih|D-F}rE-ZgrdUmNpch|9i~GI$Yo;WbLLvCVous3SSuO`2xPD zzJ(f8pad>aOhw`llEe1;QXB~k-qc0UCHO+s=#ua<*&m{o+7@bJNDyTg{iN?95ysnB zH?KExMT)`b@D4o}q|#JZGF@9AE~R@@dj|%Wn-xr`)rp6@7@V_-XSh zM;}5T=-|J)xWk{)2d~2yeW0&Jd^9wZ0yBksBFfYJVZP`bgYM!Foyj&bE(JkAUjH&U z>1QB>jH&$1x=sGDgo;0vxW~dOG+rz|FmT6_)*c;4kh{@#h`B&|H1yVuzYDazyvSC1k*f z<*RRVP`pc*^~hZK^NyESfw0n$!nU*`2lvBd!SNos<`o_YEN8PoV6(_x{kJaIy4#u{S&% z#}#>Bb%F853k4NI{@|KA88KcUpaGa(9Oo!q^!aultr zT^l%V3;V!=pzHldc&Isk3gcGLBXf*c8Jsm?pq0)DUh~CLm?9NEus>- zS8u8Zu0M!sLK2*L{Qib~3KgzS^8f603IJ+t zPnCsz927o#TNyVJ1>!snVeN)CP%v5Dt@oY+7sc{EMW+(r>>ZY={^ z-)7{MMw7vI@9}dTs&t6*4gKQa>krr6soC=cGBiCMExzhcf$>ES>0g%^Ai$S*yy|KY z+;{BVG$P9YW$Es_7seT|+@5QC@>c+aTnkOCs*Z(_{3`|(Cqv;hGQiVY5e`kWI*M@t zRQS;MHD&xoC?Ej>YYQTbA)(-vX={)jOmS|0H?!)-s*`B)ivLSZW$0>d`4V8_1tQ85 zNRxyKaGPE2GkRbL(E{c;;|y!S>N`MtXIJ@46`YR%;! z@cP3&-lE_GG{qUmt-GlZXJj%caKoR)J4IF#v0VrJ0K?Hr|A(1)aU#@i5q$Z3r!P3I zl@+m^4#Gm-$L7M|7Xb8_%#rkp5lMS%;$Hm6U>c)?H4M~aFney~19TfxZ97bKb*RTdZ& z7H%;dV|c=FsxdKK7)d7n2hSM)VZ2zwxHFI)>I;0w-{_?cl32X)M4)?6XPf{{8XkY2 zM;?X`w{nl{U7pjyc;}qf7p>P+XJo(iAzqyZGJ^3j#s|IG#ZEcqJMNY`O~}iTZ_V2I{n@uGjTNC58gisxl_{b z%hKHqpF*p9{ry1m-Pq**{f-c_w;u67l*!U({GH_n{u&A#`i)FuBkyF zwcRiCiBb?;>Y4aug7RS0$txMs`QC7wyuD;3hYF`sw|DRidb0cq=3{!tskOaUG{E#r z=?3U>c+jBFOZ!reW;Dz9V15VdA7TDz>w)zimx>v{jF|D+ni&j2ahhq{j6*=~UBT$9 z*C8N1&5`#7)#W{Ym4~@rhQU&`8cuO-Fsur{Qwk|#z}-WJ(h9Fh03R#nsycD-Qs&UL zs1X~;R@rb%r-K1oleIi0GMyp7?D?0PRg}NHIA5)+{I{R9!1IocX5k0S9_EB}NI1)n zY+1Sf(%*&-YC{*DOmi8?true}=~pRmllIAB=Sl!1W?ej2y%Gd{>QO!3x;|jOqvTl3 zY4m+@*SpwxaY#f;Y*+U#FJ#q^QDyVJ=?Am8v?<@YIO9%*(qqE~8oAdTu zYX0O0jIwo(e=ie39)G@O`(+ADB+I5mv{ImNG5p-t{REhNr0OVefeL|ae1D@Ecvvhu zxHdH27ozgmmz)jJ-%Tayxi=>nR>A{%&m=3sc-B&)>6!otF4$yV@iYLucrKoBZcqfr zgOy3T>)cs=$FhAr5rMv;ka1*n`j!U;R5XnC)t(E2C2JRwvwOe&h@Alh)Fx}6+5cG`%@6>wDKUY|R^4$tD z-)|$tm7nqS(koLWRLbgq>f!Vyv6h)BAsuMdo>mGHLKrnL&t`|_n!|<%?;>KwzmxcmyyN~uc+mkgkKaU|;R9fbE3}~FnGdV3mh^92TsRdEEw}%=Txkyhan%qq z_ZkMA;pf~$I*9&W{-nB?Rw`^Xy7bO0iUyk|+;a!FFu-F^&P!3$C*2;K4VEF&;6cYz zZ^61CP*>^VuFi`G#RpZr`yyhY*4HY|Qoss&8$#nY3HpGqQw*c-5fRAwI+m>y0P^!T zuU63a7yI?cr#mYKL`xs~{ILmR@j~Ux{Egugc;E>?Yj$q02ApyP#?6I5So8DZ%)DC= zq#Hiaq~#D;yi^%WS$mWM_G`*&4go|R_jiT2E(_&ow=&lsbKhnMraX<13&dH#*$k&JQrUo6i$tV_nd1V zD)rHzReMW-8#4mDp9wqjFil{$*ZA7^g%-eZMYev&gfpv72Gg141D_5eE>}mtIiWsL z$~`~h(p7-Az~4vt1Z+XeQ-wEX>KI`4%_wT$Q)_YvWOd)~P@JIx)5P6n;UyCyw@;pt z9!7o9Z7WH_XSS&c*0~B2?cnoMO1eaB7M(p`0>zhxN*|`BDxN*vj{IXx;V(!({zy)Kq-Zsu- z6=Oau++sM!@Py&?(3{wTo(}SV@Qm>v#*3$lWdgj=IS0OzdHF;Hg~c1k1zLX=93p@@ z#~EMQx^2L1I=A93DUV>h^LJ~(%*YupRsn3iC{W_ z=>n#AVz&aOZW-CK^uckRwdBzozM$UiUc65BD9ohj4sz7mA~Wex%a08#5yF)ShlE{v z$iovQ7v}7gKrdJB&dhr+WTOqu%x+kgrDvGFRXBf_?VgtVkN!31SzP%P7zibUfBE;j z&_HHLWYf_&3VbLl;?FrxV(Dhg%ctej;UR$O?3SDQN|}^MmQKHLtMjR|2!aEM9K2u; zWa)19(}Ku_E9m)(SY;tM=mx7u9f$SZRF*z(PDy;Y!`~kg%fhZbjidsm@0ji%XskYM zW6tu=&I;5p0MoCO zpAp0^gbpudAAi^<9mn!LnBT$XYuGsr^GAjq?mIfwV_=WRgKtimp`gE~gCHOp0oy|B z6fF)@V2wmtanGj+$Z(ij-F7V;`Zmrv7BcA2|FF5?w)8P*<-mRHb7n_Y#fA%{c#k5g z&8mBfbm$;c^WZ(DQV;1d%Vj@-p4T>z9&|RK{l+!_d(6jXY#^35t#^eeX#!||XquUC+UEk-2CHw~DI`O6j=|jIc{?x=|4{H^ z)E4;ld&0O|y%FPS$Hx?00Mf~IB3}5WE+TCCyh`l41*rS0}46nK=j~6-@bUooaG)M=_^C|pE zc_HA_FR8uM;Rg|;**Wj)!{F1V$Bz`gC=-C-SbT7ERRfigPt=sDZbpTLk@(7R6sUW5J0wm!ix}|fZ*cu zFDXz1fWG5o-Q=0=Z4B)?4sTjIL5o!;Q+)3hgV!duh zj_Tmc@kl8CX%C$u?!e{d=RUQ`3E_0!m%eKg4oS`3sCe{(En>7??6Y5fAkv)BdtT)z z70!xTi!1#MfawE$G3&R}SankSkZpcLcqmx?ZGB(UPK2w^<4*j@WrE0v^&GbW4eYa@ zcsY|ip`dpt?`CNjuurA)^ci}CU`lJs_Gf5+>66YmJ$5Fmt~Rq<9J|k+2)4WSqzOmF z!!M6rt73l9u)UhRZ%``~VxHLrcXkDX_JNM2BS~Rk6)KYcY&jgHLIxjymG*|Mg@#G} zqQPJ`tL7Z#$%G_5;(^;~iJ+eT`iRDx7`RU>sv*UDLJirU%`J%vmWRknH+y}6-C(!T z8s3kMU$%XiqwR};OP@qvye>|J7(s=_Uy~7l@xpj++&o8v5?}WV>GpujlOF3nTF_ygl+Eah9|4?B*82Wz@PJC?(ZB_7)Ncwj z|E!-6fq~kW2^`mhz_8>^%++n?5ln}O+b?u!V;25e8Th4;x?16JRg-VsmiAGbhuY&w31lPe5t zpHw&~3`ao3#gNLb*9 zT11CI27_S!sn~CH7T(yWy6yfjanLkIK6~qw5yJG2QQi2M3eOG)Zv1wS40(%u)Pu*U zu=Cz#FH#~6+UpvK3LI1xZZRBVc*1Zx-Y?PN_lxu&JY)Qa@!}T?DU$>O6&`wp`d>3b z&!zwH#w+Jgo(6PY;1*b^*Fv#HerXRU>|L=%Fy7&BOJ330N=Ga-lrw+7jzlm%#&{Ov zUyNT#%`*jq8>Cn|fawCJciYbI?Bvd}W$8n4UUNhF7Ao*BR2up9>x0F2?~mWwy%7z$ z%(nLLBt+ntTwVB4XXIAkt#mG9RYbJKWQ*Y60OT53w(saMdzPMI`j(++9o{jp<3IYB zW`2)N;tLKg$)q=~=^()1{$k2K$D<(Uc=FGAQ8@VssdQ>8yzP`d=l1;ehG1 zAg@!>U^59Ey@VD6J#j4EZGPl;UH`5p0FfKN5TT0fEWp!7jLxz2dC=>j;Xt7~#9WEe zlUnNwn7(7WuS+=nJNG>S7-qOD51#tN-2~ZngGW5!uXx0E9j_n|470kF!pvg%i1^zH z86O)%;Zdr{r| z$FE>MhVS>@*4O1!!1QZ@ySDW%daf>x4NHD{JdWjiFu#N4kFfa~)<44h(W$iphszuy zA%v^Ne#AZ!q@=SZW|>sDkZ$ppy9BU&2Z2!PcyyEwouTgz zjGzA3C#~Bd`^bBR3Hz($8!zvRN5Us`zZs(aktg2|wY;06gVNV1+K?6pup; zolVqx-AEAp+BLbVVPcKwJ}u0A_4O!HpKQ@&-sJ=p#1{8dRTtR(vZHs#-U^svKT;~Y zbrJoa^N*zN_yT(+UBQ1M0CvR2PG-jVferJiLZ{#M zcTZf+LAIoqe0aqM_GxZwJSq$jSRxHi@ zNrAbH@%1@(0s!y89NM`Q3|ukNr*1p>!J8{rL~ed^fc$OLPoECaA*=4w^CxmNkjmPc zDidOkh<;R`ja)}!&2N8cKawc-iGTpz9mT)O(Y{k!LqP3M8YsQie{wU|8_utuH0(YQ zkM#5JMb!b-0qXRvP6SnzlYqr(0tla72U`` zOE`F%*QHf{O&8AJKW%W!L=9e1h<^n?&|p{J1{=DYJ*>_rp8CXYgj~<{>&qN)1`|~Q zA*-9{_gS^**_cI#=avWR%|ytcY{FL3<-~x$NI{{*92Gd$t|?g0i_VLa)R zeL3k94a&Uhi_1#_U?@5Jc^RGtE_)8S)G=M4amlOK+LZ~+=H+DXzjzpUwtw>8tS{?z z=3hz-?&(ECW71Ri!L=lKMj#QA6Kw%m+&}m7o)UD+wV)khC*YBnNx67Y?&WkP1dKJ#<@{-BfDsCLzY z3Ci~?+HdF4;QQk5`rgO{FqL4k-G3Gj&QD(Y=pHji`*V}|!L{glX4Z8$TZaOEJZx_t zP>n!s{bN$s*&}dr_==54JPr8M zDvHCysnEqMIJY02qhq|(uF!mC0QEzCiweDtg`pr9(Q|X>?^uWp?ytNriRPv*296qu zFd=_5arBxu1t?KLuhTW}se6sFLSUUOmuo~LmXvteGx2Af-$qbU_ zhyW7=W)`@rkI-N`S;vcaAs7y2x>0_&hJYA9kEQlm28fIP37lVzh1r9#RdyF5V8X7l z>f%^56hAIAvHePesL zZ|?ISC@4OBE`H>XK5dQG!87@_tDaz1#EdE(a0RTs7da+Qa?jX9g&|M+$H3v*=pdDaBk5e}4Dxz( z9y7GAU($vKCvSw%Z+*andTrf>xDF}{rx}Han=Hp1b{1^?swB6eB z{Qwn+b5BPVoPt=m#c+(_3Bze?K`G_4bijY`jPW1Fi?iew|CSUQsBy{6bh@E)?0CS&V-%e$}}( za-3&ai=_jYE?{~WamKlfbBiZSA2jYr^l*O(1e^CN4TVj%z@5Ml#>p!{P?0M0e9aMf z5!)Z!D5L|2&&t;wRJQ}ho8T6mOnoFedLCyc@-zDR9U9lN7 z=n^j!O%n@&X%n*)ZZ9X2kh_pqbqCCgYR1$-VAE|b3Z_oOmmYuGMzOLSg^`4!B^Sa{8z zdSw?3n0_4y2w!(&IvCE`J*9{7#RKMhFu#N4ny|SY)|bM37xuoh-&~FdW=6ruLq%D; z(f+xdd2?U;d^m`$QQO8Di~6OiS_hl!Oz_)K^s7LR3_p^G5b+i~I3DrXAGz5b6!v)B zkYI+uyXN2)m7g}S<7yo$UbOT7}wdcJkg zgwbcigwHs`vb_=!$O!Y~@Q=f2zVbt`1NQ_KMC??p64uh8D0IF1e5F6=9~*pIg!)R` zSbw($7bm2<+*?@zonz_U_?8)8WeVi**HXmywy^r%w&nT5!_a+&yE=J`E7BJycpq=ImQXdX+Wxe)=0}Fq{^H=`8Ucw*c^%ERsU|uY~_u7yWl$S$r zGLJd98a6kS>JeZy>lIoz($N#+Z4aE0zxOxtRw+@SBbYaq8}&Qb_tdyIenT0TKX86c4wUHj z2L)|aT8o@FyomYyg8Iq_ggz9@9L({9jV*4vn;w#(hJM_l>>3^XI9vYg1v1>-{>&^p zz#qO`Yua`k7Xno77k@sL`+$h>$@J8pCU9nzO@t~yg=A(0=UTKMh9B;F&hN4t2^kDB z6fE{)<@((o*rv7khQk~8G>!QlfAE}c;6I~H1J~h>SFZznpaqheUEV|>xT&_ZBQMc@ zlX_VTmk=KOPF$4Futf8E&2D++d8TlsE#SZxH23;=CU4E_pT6)tkalKmf+L7WD1|YF zG?1cj`3Q54BZ$Tmi>Nty8boNGUfox13`IYLPyTLoM<}Z;Bp)>Q9@?=ejG+GL*wHFc zfve~oD>LIo7Mfcxv>N}QS40O9?aA65p8jxbYGc7lbRg&kf28|BBrGc*-}Rk}&d)VJ zCYYf8@Fm^--`nw2c>d*n)YfGy*rG)-6!K+)!_n?%cLZF)^K@qICMKEnI^^R|t2J)X zFp|11BzP+xB9+ev88#h)Ci!IEX$2#sP?&bZ?7ION_T|cMV|PTNIqzw_HS~vQ55K#6 z?@?gG2+!TGD4%0>vW|_n`x}}E3Z>_HU9s?n*Q&E8&$Kb1WH@rihvQ@j8cy0SmGpl( z>BOh!HwMEWqtnLG)9!F9TKvoURVv8d@ceLjZ6K?z+*fsY`Uwdju_@4qP#g)247{~I zdni0&JF>I}?eqTRo_8rXWI)_54>pNoOgNu8y4a!@0v~SIeN`g*!#PAP{3ebGz3;m< z_KMSCiRwlz5H{m{#R&TV@w26m%)$?cuP8)MNN&ZScPXNn(K(Z+hU`y7_r@Qj}1_T{+8hH*@4jJ8}c{B@T@vHKN(K#d2$49e*S%0 z(Zw4oPOK4DzherWJ_#qNFP)%Rt2*Oh1G;bWPkkQ^kY>!8X@YzAD+lfZ28d~LI4DPj zft27utD-nGr&Y7=yxNH%uvJ>N{=vtD19@gPSGedb-dRQy{!O81-|`FJlF?{84ym;d7OFI60LS#yraYz<=J6vHisQ={VEa?u1l0H5~X$?HB4od0vtZ8ZRR zx$+NjEYK9&^Zx?TMWk-o-mvexmpR9oWB3TGsb@yF9!6UtxMiXgV$WqyEZ!dvv?zx z>-H{&90dv#x+fB?j9{DKOi;#>B#U>p)d-dIUi3uP>uHy5p&L?3q~(V;ZDZ*frf>U|{nU>gIPxF;TO+r5Meqjt zeG>Nj=AUAKZP$IiuM6Iwm0aKG%A~M#bN_2d$NOpaCVfk8so$AE0~Y@Ejw)@ zq|5|Nzuvo?A>QsoKi~a0M{aW*t1pE49W2j{<(05`9M*5b{1o=@2OPgGN2XA~_x??# zl?op?wQG~m4HJLxyC!LQxd5G0-`&r)`#Kp+@GI(*L1fT;(Du6^+Y|I6N80jG9k#rf zBt5!l2;Z~LhBQ1v=MCG-Y?nK|So&{zC+vAsG}^zJ>AB%G?Zl~Af?dbl zLY?5Mu&%{0n)mBovZ>daqCoa-wxU-TC?L6L;uyW13>Djx26?8v;hdZL4=N}l9RUIl zkzcw9axzPjs%8LJo7-E&1~nj4^-gx&ZUsnH5IOZ@y9SbvyPz?z=?X&UgNM^Ia3K8G zQa!%k4P?srC}w7M@ZR`$n$kOW)^&027MU5|VFE=~N2%Y_v|v0`uVI(67TndSiLs8b zhesP^IVkr%A;hncZ6}(?*57<|zM#qr=6$`k%wO<;_G?1*Q)sTvw*TH0x*8Ekzf*$> zNvOXRt_wMkV~7N$5~>sLyMW$YAFlk06YFyy9=J3)kZCT~t0L;Eft!qvSV;NmMZ)f^q+^5APV#7Xf7`pSdXoI#7 zd?dMD+r*25g$eTe0j54k{CIlX1O5Frx$H^b#zTM?=gzNLm?pysO*78%gKn(7M`gq3 zHSZJAeT8$##Fkh$Fp;QiH2&-bHL~`>Z}$^no7y>t?1S!b@S3fvOA5NLbXD8tH@erw zoBTR_^#>WU-)WnF`D6gx8_YjupCf_wtbI(|9ak{DS-YrZVGdgs_}_Zm8P#zaGH@FY zS&!IUDcss}+zX1j>NE;OZ)-wdOBKB5O3kB18p!9GW_ zY2t@H*w}n^=s8A&mayh^VzzkrEMBry)IYCgu9_HztPk`b6?-%%z-NERc zlr=ZnuWnWR`79l6D{CC9`;f8^&7p5=7K=V^4WYjU50RZ*S+DD2H)G5F83grqx^Sx7 z8WxhA{2NxaA<|V+b^RF)g#32FCq%;lF8K2(Hjs}XhSupn>f>yorG9c*f@T9fhom{X z5^=0LQIK&c;frwqhv^+RPii{A_w8wJZZ-tSG&oX{HV7b^@ToB|Uk|d^nk18B(S69k zYu6DYRWOqZ(QQKajbeB_x%982bDMwa>afh0wyoZ%4^MA=aHft7lBUHXd1>fg+tWoc z#RH!3jw0~r3c9b@#5}%MMjze79NXvJZAyfG!al|`q9ZF+uB7YB5U zJ2)yjC*6MPQRs#qIs_s|>fLw`Ly>{_4TA_fs9m4j6qIEL{oS;+vupPvaTk=vDxAe(4C{tkF4{`t=LHXxiw!IX(FLsoMmQV55o4ZX?3; z%J0@Yg3vv$;^?2MAJFs5(}iy@Zc-pgMtC%f<_LF(bTq#OSi*#Rpl|dEbU$~`;0IGS zci;#J(OvB#ftJ-H-6CN!Tzzq2q$q_9wZB`0$^y~6^d1xWI316YE_U7yy&Ot9_@7O<`VAGAvqI5qdvObl8NLv+886u-6TzTN{yBa|Z7@G}m^% zpKeevxDWVxLwq!#7tk~SiEzA$j-Of(+e;hopO&ok$=(y&WxRsh-<*Z z3C9*(^-)X)cdcQjwN^`OD zFm+|&7Q-=yCk&@K%Hsz`!R0@A#`q88#XCPDbw40pzP$N?lu zhn{Qj7{hkXX1D8;sx00yY`(TGY0d!I#pb`HB4vqSe2nod#=jW922KX61m*8y=>Vn+ znBJ*HZA<_9$A+a3s`8}s${p^Ye)-wC6IzGiGR|MGD|Z8YPJg1PD5d~PPA1OF!Uth7 zbIl1^3r!e5nqTTUgXULWKD%QayWEKB8K!Sj#Y=p_`;`8pe}X68DO-Oc!u)r`TbEIv zIBT_WZxG7oxQUuOuQCWM-843j7MHH~159UiR!OmI>H=6gEoD{GB7p9{$PagAT|xJV zG2Lw$4?Xf0-S6Z*UOO=ToCuD6iFZ50jg(eDey~f+hsn;S&+-vU9y`CBz3&G*-!6%3`g+6S zk)_bI2qGLzSIr1eqrlNODw^^r9u<_w(+h@4AgnZ{&3+2c@++8+dF%B}el8WAGyJ1p z=M_7qcj}TsBuwqcv=x;#H^cl6w%?EKuVMLYY@UbptFZnN=8ufOwVjtwN`ePFGv8aH zeK0-e4Z4SnaigP<{dv4-a_XDQ^^fa z2Y%9#D`vrLSMJ(@^+N6-kDv|f`)Hc#=uRUtAmTDl*@{*ed^LEVcyK=z^3$54_gx8w zzeS|&f6fNLn|p^o>|2Z82Y_izR*DV=p4`BTT-IogWO|EPTz)8&24s(WQ^J5da?dW^ zFFs(@XdbJSfJ4&1r+EwV2E%PXy7z80&%pcp&bqe4OgMeu?MB;+Zmc~^8;`Ly)lcK0 z$9x3@;(g%ZUt-R}D(d4uvWvHy$ADaVB;ThOPH+K7#H(mIpE_Em%eG3P*?+XzTh=Z=P%AAmR#gQAYZ0)$Kk&T zusa~^dCY1gix;8;$sul`elVoGQ}(U8F_1q}r4uXAemc{?W8e`JqSI3ojfK#;^FKKQ zsrqC={|8|ZdkA*Kmn47(`^D#k@Dorsx?@#hI1Z*BM2*Ke#z9rCL2cIIc!*dw&=WQa zhk%23K>1BPBtOkjIT{oK^Y7aX_BDmV-@&`SI-~%&c)Y{jZY%-RxtY71&~IUhUBY^A zYaDzyW#8mEH+$Ge+ z&u>kFV+7F_6}bS#E#gZ+5OpsRo|WEZ(ZByU^TRj4(RCc zRzo2b)~C0g_eJNA%rJe|l`S+D?+nw`9mKrofZ?d=?1&e44H38!PR7@?pnC&%&6Ks= z_~B-N<4pY&o`q8kw-`<{l3r1ozuUpC(u%?bHD8#mIXxJ0&mD#{Mz%L5`T&NvU+gwF z@D6$qnaw}e?LtFD$2L97>qq@#_%=#up$h~Z9Vf`O1%Q>1b*bZ2AgI@e#c*%%X5kjY zF@`4$r^|+UoSMtz|KJ(pKa3Y$qnoJd_+Oc zt$tBZt0p2C@9m{g@va*M8U4biOB%ifoV8Pdn*LK`JLDZzm6+ zdmmDFtR>IJAht{QuJ^VQS$c-)+kpMw!6D%IkN%AYPa#~gVPGU$@ucEvC@}1oQY4I+ zu2>~I|1(cg20n>L(_rHWqJ!)GQ0@uX% zohV^Mfa{vcZIS#;=o%jh-H;mx0X1{<;AL+F^AX8gZ5~kk!vRs2Qx?63&JllXTeoft z6E^?q%%0wa>g(jY+S};9_~5uq&?9^Zun7}>^Q(CS=2tKubBq!t#TgU}n0~n{K6%$P z6b14Zl(=;srm*I8nBT$fe}wJ#WBY4ZJ{!v)Ve>Vte}ws?45+{NIX4XC-V#d<@6w_2 z>|B0q+fabdStYVCnLH0yOKie?L)*?j=VxM7?()AX|>$E;A-5$iONGcc}upZ#jCo9`@@3 zEz3#IOxpmVwv`&1f-e#+;3eUdhl6fGVRMUoAJ`g^kn-*}+8-{FJH;pI2R_oPbHfh* z=7gFuo>G%MB#=ik%f69|dPr$$7BxlXFpzGn?OZqF1mvB3kq$=#VbAr6^~vb{O^j~N zlQPizNH}$spX-#Q!Zq#EG77qH{OjkV(oda1Ft5(JTp||?>&c0at2TNgLMh^{-;%xH zmP29pmc#$v7hqu}M?mDd7lc7*S(+&sayL!-{y_I=Dz5pZ{u#qVi>2?YAT-CU72+vh zu$2J)+)r}8FoR%Y;axc;Asqbu#gjm^M(-z7=~S>2&jh@Iy|sBH5&SNS*K12DBZ%B? zjc{?)Z?A5ZpSBM`ulu%R_hT!tx|X06jo$ACtD8vLY|Q;%!BF!)t0NlFecy`S^}`wd z5d5NdQT`-)9-!w9n!5TR`#J>3U*)|az`oc_Kv)~D){rY_J#Y}ZS-||`&m+jt)K#5! zK^l0T?GTxHK!TIMGlPDFXhNfAzHud&8)8Uo+O{g@jFk5$Tl%5-YKLE=oFBC15N1pG zcz|aB@=AmIkkyJJ@;aaD;8H_{^F}#lZfFkb!rDLQ%JOXBx&$9BT`dqE=X5@}9pMGz z`mKv{Yw?h9<+rhTcNlO8zpc?=L+`)!don?I2HnpY=P>)G;|m?%w%+^TDFg|Y951U9 z=ztSZTt7dn4O>5d-!UNL%6eV6%F_{^xd^yIua@W~IDrLD*=)bP4H7;O6qNV`hZt}( z(>A^`LJmy-n*Q5NL4vZgzn#sbfa}B-$^FME@J9I8_|@J2)=BTTwP$?p(xCB~9L22) z4|`QjcEqB&=D#vg%Q?G!;Kye9P-`=1$hp9{I?Ejl_Yx1RU%ih59*OL&+Gw6b_nrmtNzoJ#gpSxpN=``43hLJt|BKeSI2)EU6GSLNhiqhR>@ zApbVs?GPx&IezvV_lA@W_9Dag>EIEf_a0}BUf1B)SFRoC+)4eC#J=h&fzj)t{@mh^|y03OC`Xsfph$EQt15eA6{s# z`jGQr2L*8b>vt%-8Uo2OZueU>XCUbC(!CkIk4v}7&ep|ZGHY+d``)oi^Hnlj{#Bgm zQp|+MYm}b+eisK{-x9SI-_zlCN?~mwnzM4(>BAH98Nji6__z$($83q%qp#FNgPAVX z@=aYnu)bA)kAlA^oUtjgj8OH1vHNQ{-sz(Fi~pc~1nqZMmzty#_M-Pm5^_3Zo5h3* z2wgBn_p)-8zDlM1LhrNiYqxFHwNOyzef;=TRygS6H*`~@sBqHdx3)dR$V~`#<+M`W#XVpnV2x+J1UlT<9$hVn2`JPbH_c`Hft`_XgOA`tXGKGoD zYu9zJ=mA#WrRK8*fu%;s{ZmRtk8U#ItsA?8)afvIyg9S@6`G$`PPKnLwGN$&@E>}w zhU#F4|09Jra#R-Y;Gb2OHcHR{!;xsDT0+;%(m&0CSeZzQMa3AVVjH>Ar`; z!YPJZ45!~+rex0!;NZ=>mHwaVK5%*h_s|+W|8Dw7%H>-MV&P5U(zNMJD-J%r$*cK) z>|OU)&;R=_CA6rNB&pCwdyl)l_uhN&^=j{;qNt3bk_yozN@+aMqO?RtC7~iEga~~f zpYQQ}z0di)|AkM#IHz--%FE-ruKRgE?)$ownsiXlZV|3?cs?d*GVxN0vj^14X9ZL? z2f$XB+$SLzpO2)!3fyV)Bjc99F@Yxnr_Ms-Q=d<|{|nCq{}H^ne@?zluQd?bWq@ylqMQoy3<}yr;iBUkzHr?J9Z`jNk(@lNHj(wf{zKF zCHR-%*NJ2bF>PxJvJMcsK$8PR}HrOuBiNU0XQ<}Os#HYO z5nEmD61vhzAZxMV;l=52=!yKkqZ;3r9e1TBh0l?|Y|B!&{@oBTjkl?2I2r**>60wv zBYnvI9HNdHGt*zv!*f%Fel_>7eLPwo2wpA@>fmk(g35 z3pyHC?tS`MBs4{x*H3Z5dq(sAbv0jNpz+GfS8G`$;JhWLrFSg?bWSELF>!jM-?sva z4tryLDiY$WkCX#WADJ_&Hd=^Uz`EHvP!)BhT(y;{aY7b1<;Ub#JYg)E&-K-1Z+w4U zl^rjNeTKqJq&+UW!TkvT-loqUO$J#Z+P8OlPG#F49@1ga#-0N1<~!4PpwY6pw64owS$K|K%Ud#pgKF= zhk5qG)Y+Q^f@e(oOwQ1uR{uoG)+B#8BlpEGY}FM6RJTvgo2$UU6%YP3M{_jGqF_!f zZi8eCos_>0%_|cw>%Q3-4nW-MGEK2-l|z zXUfDjg^n0Z_3o=9QCyH~C!EXjaz7e@KVxuLJi7t(e&-uLSoy&iiS&oex-+^`fo69T$l-`t?J#`oxTCz%dM2ZP*o`%S3c z54wl09S~*C0Mp8ERnlzfp!+nTO&;%MU65tDnmgkK&&8)27!zE9lo&fPRG|#dsNVk| z;knxd_K%8U=VKv-H7!x5I+Dx_kCx1=LegE~kq49XD?NaK;3r>)#Qb5y^gPwoQS39e zoYct0;YQx8&CL{AGZu)23&y{nMt^f%WM)k%P)ho45MkHx@g)uA;RhcqxfsZwL4n*w|XF9_b=n+moD z)w`$m#)7Vb(Hm}`6ujR#Z0WNo4rAs|IyY+YgHP6W^DrM7@;NEH#UL-d!xK5z1_=I2 z!1{HpO7>K&5<01sJ!T^*39*^O^(cyme7--AH{bBwO^2fH>|UM5?+fvlI(yCtghB3< z`S)n|UwA-{w=g5A1pQ<>! zpE)iNc)Z+``SrnM!yK|EJB8dSi3#gF{+ z1n^ucfj24Ut;6w#j&PkO%aDJ<0W}ogzTE1Lb<;8;e=mbI+>Y^H{Pxlp&hmaLoOSkw zQ!T&Q&&;`!aZBKsz!QPfn<}x}W`pqD!GGbI;6H*FLpI)RS}E{_np5QrlGq=P;EnX_ zdi#FP+X2rlD!;QDGDv;?=GWF2N{HZ{gpiG^O?c0i`_#SqeYC!a;A4Vk3H~McwQ$P7 zi|eT=B6NVz1w!uvOV%G}F^7=#VR`boHy`$Au4WOqUso#wJr2G)0eC)EvHC~&$fz;8 z!DgG3yjvgHlwX@KenyKb@|@qPum_^^i=Fh_9kt1NM(CTCeK@~_mGZyzZ|2AKI0c<3 z5S~#COX!G#m!E@@jpHIA)%~1A)740_ZVpR|xZfU20zzl|zWq|q7ELAVbp4{RV*J)< z7%<$*`za}kth?8fE~l{GjfDqsUnD6{;rX`5@7t#N)5-eGsigby_i_|mme(Blsvif0 zz7x97KBL$1r6me}w={O$i;4mNufrd;_mMz8O;wNgQv#eS9TSnR&Ok&R(K0c!=RWRd zUty%_>BsXBbaUTmP-qBbZlL&TV&o5>HCyR7VLwPCmcog?3^($97g5I? zsBvc7c_|JE{dyJ~K+*R&0jg#qJ=;Um$a`tTJQ3laP546+{zt@qKe4|?%x4qxN5uUa z(LW;UqskBVHuf}_uQ*Oerl;V3cku7b{0sgd_|WJkMl$4h>{IMkwFRx9^L*SJV_>U! z=fVlAFtYyhT1k)i*WfSB-Ckzn1;RcN40x<`THhFXqW0HTc;&g zWFx9HuumWFlc#X^lSTs3qhIIpoSnkZr+$ZWjg2o=9?On?se7jiiwBe@w^<9IAF~2{ zy=gj#XAixJ)24s=Ur{If*@i4VAxzsSoPM_>Xx_;STC(#(GSAs| z>!60>Z9E66O;y(XP$CMX-z*%_eWeM(EjuqKCYXZSjMjzwRI#AI&L?!EPZ6xz-Y=jO)Ty?Xvrn?%^Ob zr6fe@9d@dFvPxiWj~#! zHY(3`WZIkIgGv(^)-TeBp$JW#6wP13Xnxc2`awDqxOTX5@6|v+b2=q#ac;Iq%FD1Y zt{#xfCpynZs;Y=V`IEfYK@+60^T=S}Wl!iiaj&F$iXS{A4${*7kpQ2Qf=nk_^w4bO zTd$*;LFfo0`&Bc0OE_YGAYtmdFDjX%E^F|xM#OVNdt?s|7W#ul^vjeW&S0c(q3lBQ zEfneR|F-pNb}~|Ks`gm(3qlUn2A6FVqfwTu)0?P`mZ;(LK5nXTUTAuC<-Nu;1t89e z*dyllv1MtfI%fEXbDtYJ@L`X;RW=7)RquOf;9`y*?GL+hT3Qu-tl)m}?2b74U^U~H z7N?HBnLIF-8v|e{^17$ZuZf6rW!msK=^4huwtL3!zYb`^+s%*E#{0B^LRS67(etKo zr*H$0r>_p$u96n%&n^#BZzpam${2yC4*SIAcN{Px(de$!__Nb0zHiVmYzKH0e4t6g z^OKzYH>PDE3fRPiUh{MCKy3U;*X>74P;;J}^M^y4XvHSndTfU|8gJ1V+`cXeEG=AU z6ZTg+)b!w$am_!xknX4OBvncq`^1@;(b9{cG(VB*izY_U?x>mR&!vhsn>fT??=eIK zFEt!DUUm_|dyToXc{h#meEIRwk(DbXP%UR|l}d|+sC{8Oi}vDuw`|UtiB9ZSvO+ES z#V!^og}CNahSwEYK9oSkPIv|LnI#bERS5+^=2h zaW*^fo}-NkrC2TYt>kjId8!`{D#Zh=MLk}?mwj5J)g~O=cz17KydMe&0~r?=10%`Ec$4+Gb(bkpn>xB) zR^o?9rJO-cw|&vI%R6XZehMU??~ZG1=V(H`ki*U}me9*m@U_~lHlxD|&uJj5nn!vt zqQ$Jo5Tgf9f^KKlBlMt3YkrxDdIKVOXK7ty+3BS@5I8y=^>H~L`=cN2)qd&EzU$SO8>$$!G8oV(s^By9^P{hx-xEkF$)j^f;R?S)b092-H@wW ze)2W0AoT5XF`v&;ddh z2)#pj0cLmQ{K)!%zT~%Y*6)QUuRfa<%vhuH@b3Tl-{T_x-Dz=V$+k7oqzQ}fGQ>-Pgf-wEB9Qr21D zMThrQ=r2dtbYg$CjPuc@Z-d~d|9XT9MGVk9T)AIrf0bNE)U6&S?a*`vuF{{65^z7P z|54BD^}FV;rS@A@lKyuVB6 z7vDa^9UsR+A(HJOska^9NB-U0C+Zy{Uxe__Cj24$|N0*h`~AfJ8ZnT>Q~L4*Qb0rCB;Bu`Fc{ja&RB4V1hx~WAB+5UgQH1eRpJKGV7loe^CRnj=9A7E ztv?m}5(S4gZEbyd;-BxYo-%!>DIN`a3AN*y=7n&6z_nf%`@Ha1?vDGD7YmP~4Gt9^ zj|SD!`unbHQ9wa!GM7{p1s@D9eZ6zp4oy-UO1UuL_kvkZ+3;*bM1S7*#tynb)Z~7( zSE0rgNeD{$Z}o6Ow_lywF#lW?_x*!x#jvjhwd7IZg&8(r>RgPSr8P&%26(6PqBRip zii?B%6aD}ADLRU6WZCG2?^B1}`VY9Et^-_r^{*_DEA>aV^XJvjr<>;IGU-WRx!d2U z@^}Pr{E8?(^oSD<>x3}!cpd`lZ+2ds;@Ij={OOySaaoi)e8b?Rx(g~xQ*YL1(?y%@ zEH7OVvL@F_M|YR5+T=z;tTPjv`H?W-nWo;>hM!+;-!hzW4DSaqj=P#wY5{l7CN+Dm zjqqCire!LgOD|RaLswrb27+5{AMLMAihfR5|= z9r!*Ys(9({=X=iJXuIqtu=hB$St3W(bJ)N4Z!XQ1=N~vdr10E{${E?tDmKKcoS%lY zo#3|E?+$280vDz&hfK_hV9rrGWr5ZN*$nGy%KODZP-ga}mG~H7mGpAocE|>0JAJpe z#Qt`4_9eC!R2pb@LdKdK^Db3|#MpxXH{@csX*2g-Pb678ApX-{1BFT-+FW+p4*53+ zzAF#5LA^g&-SYpqp_3a-1sBS7q3EsR>-{_jVfEqf|ZZf}r_ z0W56$_;E_l9%;;d{50`S5fRT(@24qxnCAhT0uKe;WbsBDQRSEPhi<55@_X5i7!q>c zcA-tU)DZ{3bw2$AGUC~0z_^$Wj_Nc%2&MTs64kxWN*|m`k`m zUsgrOQ_jv`h-N~M?rl@>cq9j1Lt(FZDCAM6D$i8|dsWor!)R)I%pZEraqhdfg6js0 zPX3*9qR6#Ws^p8I1$rSL^q}XsHabsV*IHI$f|OQ%y0ZV&M%QIepA*|?2S#0LhkJJ6 z`+&c^KvpG-pR9D2GJB^pC>3PI!OO_S0*XnpM2tc#G3zQaBpamR;S= z=&=9dE3Y3;+an;BWtB(vKp==0{*3e`IiQ|vvx!&mecQsap_`{r0MrKSvJ5=N`=0Sa zNuL}7;Vv`NK4pHKPq4W=*RahLW;TDSD4PoazpF!XBYys%@az6A{hO5j z`7B;sMrMd&%c8Hppf_q5qp`c@;)RHF;_i_DROePS5~?sSDN<2I6vHKU)-Ik%RQcKA zbt-p+4fJAWv0f7Ao3}sG!>-X93AL~k*N1ALn6&C=Oj~gu;jv(D`FnsSGmn5EQ64Bh z{B>#n9RZM#789AJl|TgVL`Ud%RlZUM0!JrXPFgq=$U@r=#hIc5rV#W-z3%;>IZ`s0 z&%Sd;8WA`pa7*Cy>RJ0u@|z71jZ)x6PbYv}_w12PRyxSy9k>0V@IUt$lHAWt^-o- z$>G8sK4aC|TU9mtdj};C*U2{Mm zog95<+ZN{6TyG!pEqY%?)zMvmyqI9#OI9l_iBmQrzH~X zvQ-VYG>;+c=AA!het2BQ`tet1^ZRIcC-Hj-q0=Wbzkd2Y7z#I-cOLy!9Y)sORZsiI zV4R!5e>Kq{u{8$HeS5(md+j1wpOd7H869Sh1b%jXihFqPjL>&N_xY-r=Ej<_Z$r|j zvG)NXFp-~qD**e$(HTCT_^?cZvdR)!UXx4YI%07At8vmLOAtIA<#o}(26*``12(j( z!;o*i(H%eB7dY+3=!5T(U&-&a3)a?v+(#)R&y79E^U_2ebB^&E^}b#_$N5*kRB<;X z^g}2-=@=_^>j@zH8WHslk()yJf)l=%gg+$VTR`mP5&LVzTorL|Nc6>s{t;0hMc=j6 zT6!A?r(ZwsB=Lknp!A-G7CfiG&HwzD*YQZG`APTt>*ok^-En#P8Ot=DGp$mWXo#vrN zFOF*Lh=axALAS=Ie!%~W_5%yv1FTs+X0Yp7AiSp^=!lYkug!Zp_tdvVLg^y+ z`S4l%9t!Hz+Z-$*_P!rwgPRw)?N?DCrRc$F$~6rEoC7n_JMto|63>BGGE~V*(_#OW zMyL30HRSzPhqg;M7@Q6*HhWywM{N)6sP9!p09&P6S2zdm7cXpdW>mv{od5q?O$w^7 z`%|YM4ddLQ1MUkUaL?M&A&emoL@jhp-+M&BLCL_*Q4a@LI_%dmdc*_wYV+B2D!?x6wsc_zQ8JD z2Td=IpO@UE4|Sa*8lo)N7w&Iv-`;jwtC7wiXiXUVK6nHB=nYc_uHbr0Msw9(aM1*^ z8Juz~mV;5|s(|e_5CJ8MRquC-97~RVNf|y~jkaytRP4ul&1mq=LXMNx|BoBLRLqAD3#A z35M;*e!h&iu!XjvfClLWyytz2g2T2c2-u4!vY5aVj@#05GhPXTl7pRAvPP>irmZCeniIm)P>XauKXD3@|3OhjAN3*ZIHlA>K&z7HuRWt#e>1JY43IWph zwD^gKf#m1ZR%7|&?^=Sb-Su=jEf=`HPj`u>56{_8>@hxyeQ?i-MCRDy{>!K=pB2?y z49-J}NQ~jY4h;`TYW5-uXrOhyZE;+ad`>E}EJTm7_#hC|*|F=m12Fwz?0#V{3M>9w z3bj9)qC3mKg3ELy(1*c8n;CKcX0m4cpFQo`2&|diji}T>N`m*KmxLwxTycxCvsg7- zK@lVSp6-iINay$McMJLU$ZSKz>ojM3#1?Ye^Z>6avJ~WX3;$+{C=&prqiw*_;rZ^V)KIvvV)i@C9nX2_exB@5=KyA} znhV_ZQt-rPWVYkjF6gvWVDewEMUCyL1>3rHQBmo6o6+|cWM0VkDx==^4(GX)y%Q&O z2_n-VGbf+DtnhW#=R^D{9W+_i_1kbtjqEqK-m}%RvwV?n0x!}T@DboJIdvS9QMuHrft7z+y(AP2sUkZjDl-ow6-5{ ze$eO5Nh(#;`beoKWi%{R6~eM?BQnle!JAvb-n}?SDKN~@YLeFlPC2@>a^{4CaEN-f z2@(LyL_-17bi7Yye`>nn7oKC>&tW8k_gHVGFdkXMxmHEvp0a-Z*gwA8d0YE8Q&_D$ z9?5ZBmwZlAGB}gXYklDEiI=ziH@U$;ZfU^X-?|{#c4DJPkv-fpQl#Xvwj`hLhKx5& z+aLSF+E0-{uUHEdR9CrpVO$Z#WWD;i*V7zE={P9*&I5YLW+cB?jt<1xyZ7^DX_9#- z>xg%D#&Hou;K+Ka?#J_Q=FpJK(*0Q787AH6B9;Piey8{T?7cZ2WSkPXC2+dOF1JPV z5I;12KG*$Uyep5d25>Ci6uJMDRxLc<4LJ1siyD!ksU{Cj!Lg*qBbr1(SIvEqrj}>jU^c zDT`kz+Ajn^OKCJtOqZ zY`sK4%-Q%~`WH97X1xvjjP*!y22-?>fafVG=_K}B!_zq8UeS?c-E1}xpmxAMEria7 zDmMlCo%AK^^v~_jt-G?Y|7Y2e+vBFuWZfMof8V$~9Swe7!AJL{#bbZz@8%mQ^2qwk z{=2Ze3j1fToPBd72k+Mq`cCM6aZFKPaW4rr8C^TQ78we^#CZHJYLYgBegnfNh3cL(yD&&FXlxxW>2~*ldU18d(PAc z7CUYB)w7ye8It$Oh&tv|FW(1w?59TPmlmsT)YZvI_;B)yRo`6~vhO2N?-2R4ME)9) zFGBd_68?~c{}Hj@PwcM|bC|^Z5plmpyeAU%(fsx3@1IOk;jQ=ny{0W8u+uu5dDn+z zc*~Gj+S~fi{aToHUi8cB@$f6*-B}H$>6}(owu<7&yxy23|ajV3%~DcI9+axg=x7?&TTF3=w?f7|0s<&QuM3rEsKqG&i?3%o|}p;hYR;lUgaAv!oIKP z&nKsQTuFfAQ%2F(a1NEfz|-Q{!~QU)c(2*?1@?QqHc)RlmJDaE)yg-I2f%vqhFSUV zX6R(;y1=a^dl1N$($BwZL;kt(C1MZ7*<<14r{4!|;(3ovO7;iuM#e(HzVtTUsW{kd zJYUjr$`{gD8D=u=>>+lC!d2Ve2vAXIs4g|d{5Quu^_Ub351)u{Rc4KVg>QbYDwhKw zL~2fT#f}#oq-#gZCSpN(Xx5Hd75mbKm97`hxCij`I7TXeLD48+pZ@=hQlT$ zExb2RD(YvBSjT>Kk_S$n*%Sju-?Ts2I-?4m2|`htWv(Dt;3hYq9}Cr$9X+}12|&ww zud(wd2O`mSc7MV1u}r(t)OCKlKl+pj-gx{=WTH@j|`Zjt=n!=%csa-zw3iB{qvY#{P!hxIC#Tm-dn8BPaR-*ENNcJ zJODn8{z`rR)*U_xtqzVn#`|IP*Gtb}-q^3o{_Prg!+7}F@!u6bz;tDBL$I0$m?X1K zIVPziWVlPNV_9SpPa9fafHeBqAwr&PC{1#?mb8 z1F$8ovuT$io?lkCYmw2zKBg}VK3MVkL)(h|q5VGs;q4bs+cy;0=cnhUe{e=R_|^y{ zYj9@(>xg}5-4zSy7Cle-d#eY8p7MXT%hd@Yh5gRF{3?!kkGu_77YT%mO}^0)+hW0n zhBGi9-@6jL(93Z(XKS4c-1ng!78KNmBY~b841##BM4>wN%(ftS7A(Z&(TMYr|N8n1 zhHlCKb3Xy788itmS}EiI3MQIMLRtp@yngKJInE~_2B;n+l@$KgHLxra+NGohUC$DlDE5c)Eo3b?)?3 zTS`<4hz?$VrD4Pl&AkDFe&tN4Wclgf_W}Au*UbkyLP6}%%fykC5TH`* zVi}Y2fz%5R^VEL^LK5Fs(f9d&WZqHuJn~Bd|9=uV%6Pk%BjXCrI~pxn`SLIbwiZ7q z4R+QA+MfwxJRk7<%wL=mxFv9UASriE=ba9mHt(MNqvQ^YmkXM|(!0XO`qYpBEk`om zJVuHy)IW5BHLDdxYe^R*mQ<4*AnFdQ4OC}U4w%Ew$4L6Sz7Kdu8-6s#b?vKghRX+) z?8vw!a7^Hd!0EPd)wD}EFZ;joOz7f*lr#){|s?r#d=jnBpY1AlqrF>g3uzdH6u zdB)%3s<#d8x#G~>eH-V2{NbY zQbBQt>Q}z6al&Jxw#-?FAT*iu>+L}cGqRo$`sT^@r=8}Y?!WZUY)5%Z&`cC~hrLSp z@E@PU`kP)aR!9(9um5lyzgH8w3G`}Thf0!x(AkMmCyxQ{RI*OLD{A09VuSDL7{x~v z?(Ur$6qF^zMHLJ)!77_Y9(*4|EaAzD;OJ0s0Uylbu-wEAc zkouD%T@V9jH$FWwP!|h#u$hVNhG-C--c`Ht9-a%a3N*v6SBR)1C|Pudi{nE!fy7gD_`!P|k5OoZ1h3VI` zBXL0J7q`;!i6e)S;Us6+>vGprvi~hn?+|&$um9%L5_vR)-#XzZO88|Feh|dIBQeiU z%&QUiu|&U-sHchZQe9YXH;3me6|&#Vas9wPo=*x5*!JLivj6{DO=7dLZ-`Ql0{;^g zmt*yC-{tT3yH}l+ADf1Oq)M;&U`;-v-1R-n+>`{px|5%s?#DvYLg1Sc`cOb_`fO~m zB%Ghn``qJA1kNRpcIs1cgU`S7D?ZmoK!x&IiMTO5*U-iFqaMHi+~Bz&6hnn`s~Bb+ z6>$IQ+*4>cD)ENW-Ut`&qk}G`xKC@%;7{+J#^j zGg#S^75;g%1fpPLW-Wge08U#%l~o?-pzO7r*`2r#`rY@NdZU*wT-tUs*3|2t{#r#v z@C`=A7<}JuJzqoxp$U zbLzZ47rd6iJ{??gOA7crY@1@pbix0gH(wi*>K^+5uBPMIZsR&ZxT;54G7>B$jd@xm zt)OG2|9UKbPgm{U;<_Kd_uhQ^`}tW{TsOsxR)!`8VZR#cNTpjg;Q700bSM5;4L?-U%7wf?yx#MtgvWR95zHFZ@j4l@p=0;QY*Kk;t=^L_bFYbZo zefQ6-EIHx%RJ}8oF4j1syyj84j%qv9%&zMxIi~?T)y}xaIH@824ZjstnibJmwpgYY z!LDFCbVtp4*a7l3JcwK~)P^UDaok?mms=!u?5Fhu?8{-2VYOk-2o39dsM&GY!<%PE zjOMd#K!05=-xTMhL)sN9ZY?{cZ~awgELI;$X*E61(J&&vH}$S=U#!tJL;H9_pY9x% zN9{F2taTK|aG746^w3Hc1@Ut21wLVN?$K$>wb$F(qM_^kua4etp&)a<;%M2j2MnPR zSE11m7}I-SZ-?`3+E!V9UB~xofxfc=hp_LaOlI;AhQu&9!ooCl-~i68-I#B7UWNok zJ1Qt2=+dCL2=PX}0(ZFdvUpQO58j(OFqRgJb9F0PzvaYq27|S*#<>;p1*@-v+UNZ#7|CLZTU61XLBOyG&Y+x%zc5Posrf8m+nKY|wz zoMTW-q{RME+7laeXtl|_@!n}KU*4cQ=+m5BYQp%uvQ~8!N<0tiiK2X z7~qc9eIXqUbe4H)yHAjyeCql9<0nDDmLk}~i|>;i?$ye%vf}!CdbN%b>j4gS7-@*Iy-9g;nA#^i-O{weX%}^k8 z)-_wr$5AhetkYE*!aY@Vkx;R5TY{)zELnH`n&BnO@mQ!-V5IBX6akMl;bT_o!> z(}BXP3(=UNyL`o){oERu`gpB9bw{}$x?CpUzscgo&X`&x5_ zkaK~Fd|D#cg~%5n{IdyvNW%Y!*c&AF*NFLS;$D-uUnBZQM1Ay(%W9W_cnWNO)@@9M zbK{7*V=0Ail_?+z@`7@+`?1e2@%>&psyc14WcYe?WoZD<&;F_1a$9IuB1~>>wC9z> zxe1dIvNrXJ!0n!NVB%ps_{y#Ll;Zj|FNts0aRXBnCtcXn`A!#QoU;1a`^XM*U8ZJ^ z-Q@%8VYXk3_jJMKtFqa#buC!A^5o5cQXpjFR!&e%0N%U!YIefK7lvoIoQ}(Jg!m}V zLrsSN)GGl=H!pwL7!JNRV=IM6L%@G7;a$tZLD)XaWR>pd2D}m#ow)%5h#g%VxaD0=~eMO(A~ggdg7f-I>*zo(SbvSJo=tc>~uADj}sM1@PMLCw2?x z$+N_<=1`q?BYz%&RkR=N<*@(nwTsK0_`Wd3$a6^cT0FeTImb7g6$ghh_%?nG!g=V2 zc58mrasz={`siCjk)TTvoV5w}gG`*Q&tJ!NenlEz$yuDoVfSaobY@QoB(Q0Hv+TEq zx{PqDF-U+Ex)=SwvA=d}h{_K&Ja2K16|bVah(~D_*#d+07(a z?-mBS)1&isIJb^R=fK-`Q%xi~SZ+<)<^tmV+g;#rB7Bx%my|i01f%NcgRH(4++k_I zl@c5XE83Jj^aVJdUiIw2!&clsi#)o4rb`X@PGsy26_9|GiyiUp+kGKfjlM_qiVbME z(Lzm#A(+~SY7c~2K=Hl@%_406cQ-QOraw+P5P{dF%(7Eg|8%-p`kR< z!`)R5;Lu}pvwQIX*zR1s_!IjgB=4*c$$a1h7lu+i&pi$#pA)n9H9jwo;#?Bf=_}z` zuCT~*<*0O}A8_nn`El!)IdE$89E?7t4H8>>zKCI;HiyY8$EoHGplNhF|JB?6a93Q= zHgC{@e6F&6i_VqJrb0=mraP$)twq? ztLpHn;+@pN*x%qSaUPnl8OqP~z-wp#;52fxL@&K8>hAe(|ytUnadr#N#DDwO2 z5sl@_tTJmDstizm(kB6@cXY5EX~TZD42`b8XgxvP;f>VGKi1^DDGKW66{iFfz&G_> z@)yc@DCZ3C?#1uFN$8645K0C`=hd`3Qt`0EuOs`NO)U18&kH$M9S6qk?nU8pDfBJ;Y(A2vEwE!9qa9BU9VZ%#vH;ti#^1?HmSJS8D={w^A{Lky0592+- zA03X&H#Yl`dB;jLG-n$7YZ5rRs8RJ|_pBH0hdl|L!tdh=%j<{Pu&+^OcIWG~+xR~6 zFHQ;E5;&DCN*|9-GXt+^{$qJ&uFyVj!tHB>{U9uw*z)i^1A(`CzCSUJ2DqM4znA!l zb2~aJ)DY})#~nI%k6SKmwT1lomII-?{Ndn_NO$TV*iVL{`L5I-7cy=M920mVaQcUx zl$06i`7b;Z{73Mj$jso&-*Wz-D-u8YaIY(wHzH?)qFoNVf|8SXsCutGgb20tb@H2$ zc}F_w=uI78Ww_j*PMZ>|O6FsNX9@l#_?4&f&8(vtj!yrOYl&|iHx zn`hbejo%X-MrVC3&!|E9+gaK+oz%`1t9c{&^OTqn{)nW_5Y=R^R_ZAPkCbTIcn`Ui%x)Jhwrr9sEUCXH*Oge z7{rlv^V#XI66TJ{K@!B_^n2#@ixmN}5dHRAgvZqcvhFVKJ3A?bea5^e zPaJm>js;n+EcYD2bh182emi4)qbwfkR;$??3*&&$cS83^6Adk>f5*dv?gy>PSkELU z@44~{<2-3$_krNKB>3`BlR7BJf_s3Z$;_8BKOUJFt0@NSWKseQ*Ap02amG7NeEk>g9`)Dbx>gwHtPqe=Kg5k3gSo*yyCPRwZ$ z_mD)Nji@7u&xx|eQbK?ApMFxe?_CmeOe~0GwqLIMMIzS)4^H%yK0g%=HU5Tvw!LAf zw=I11Zcz-(oLTsq^)vy@?{pYnFpYvyt0ne4QS2w@!IU+G{TFXm3dNkezy(=M?c1L` zHwE9pw4RPF?(j5A>!V$Y1e`k3v&mG&2G-hFZblsNgag~AHr>5|`@mn5{giHCzP}xr z9;fIEv!KMKenSbuPE}cQkW9$G*O3;Th35_t@Pz66^ufAN@L3~uKb<-V!yTpViycm2 zv;3y`+?o|^-1Wx8fg>6mJEQ5KF#=v*e(z&u;s8D=r;TElOd-L9Q8dw-1RwS&sAOtt zgN*L>bIbOw&|p4GGu`O|3oZsvcP7}9e{Ln$)>j8cW1#4Q5zTi85_m4D-7V3Lh4i?N z?|~IjK*zHErlyh?h?M>LA}NCJ;T2id7U}WcX0LR$2i`|lqY8cYR5KEW1Gv_f>3l)Z ztYnWH)}{LRG3H8k7d$T^b@A2N80aYFrZO7yhJn86+Ct-rt{}$2>HeiB5bpn+=IuTf2u54-DK>BhA%lUq9e#VQ;nY#<6Y0kjz`bxr zy~ZgH^vc^*#(4|wj`RrbpqjnJE{k&eL&sy+Y`m#4mj`2vt)M09lmm{HI<(6gS7!&M&YNP zpec8J8;2wIgSz-xi68qo6h&X_DmW1cXJ%TpWczRq-GjW`z;rLjdLqzNH;DaV!$q@> zxVk~su9LMwLKg5c{R014dp9`F@%+;{RX6OS^M$WK=bz`EU;ndqDKG?%K4RBa%GZH_ zZxqu?*aunFGrzj^sS^AMZMB=metzSn%Oke3uHeQ5beg!2HFVltNb{E-c=ii~&{KPn z&&lBK<{vK`1yFCy#WK}#E6{IKym9x2J^bn7<>;I}gnsP^G2GQ53~@J9E4R3t!Oj~` zr8#uD(T4FAzna$$pp{-?tsSpSK359@xkb+@u`k7wu=-6&(qK8&TJX|Y3>}lfIIOp%i{SVEn|6-{ z-bRC*{E=JRs1xC3A!GZAYF^|Yx#_^R6>AXMyG+?-W(D3iPWEL>nBqKuGj&@KAH22b z=oQ}L3e{ZfLu>ba$oKA671tlV%%Op;{b5?It8~cl+g@o^dI#wAplcnQ(SytRll;rF z>g3$)OP&nrr!w&S@mHU%ukoB?#i#YnnVyl*%oV5gxF8z)!oC^L3XK4!!n6{}$uKBK z(Y(g>kuWK1KBf9068eqqd~A3f1Drj1zqyr2pg1M`zDi69nB;6~o>hdv^8m(EuXo~{ zhrV&{U%RlM-K$ePtk~!5_l>;wpYWcEs@)lm6C&X-dMW>!@v$f zsS`Whk20dGcRiO!x=cV`>q>)%vIhBl7Y-K-(Av6!Maz(7m%JKm)N1#QXtjp>^SZU^ zEw0dS=X!s+TNn1lw5=AHIzoy@pz_u+Co=D>W_;Nca?Fg3qj&VfcXlq?z${~Gjt;#S zh|y=%hp(DLp7_~65;%98z$t-S0;kXJjVMZ3NWi04IgW~)TEIY3IDbmr6JDoJ3qCj_ zO~zYzlP8+%f+4tjsK z1Q+UJ2Kgp;h-Q|z_?quP=AG@&<+i>W@PJ~gBR(6#0?2$!@GQZ<1iyv~T-1dCZbaw+ zp$mlG^>H`En&Nv0LLb5-WPZHru!bvkKdVZObYRO*i-cA@2hcXO#$ofu16;LQrvp}O z;Lqoeas{S#&?g*9{h-lvYMPWG9fCABsGrGFcFa_OqPqu_-NQ?(JU zb5v;)Kjy|o!>Qv}pD2ox$hx_CUpOxn_KPHRcDkwZ*nVd`zwx(^!D}LRtJaeQ#!(-i zuj6@bLU)y-d9P97eV}B9@PiNW9?@QJ*@EjAN?}YA4 z--T@EK0Kdsi8e}GAqvE3B%1`6qH*3K74JQxSm=W1PdB*aAfk>)zU0^u(c=YIX>ZcD zce;Xu`m;;Ysn$T1u_MWRr!^ew;8{2~f&CBFW-eufIpX)sBUG1It$?Ukh&pEdIj564 zKM4r^V$-eIrn?~lzDcRpwk5}qb7zTqhvNUgR+Iks=YKwd|9uYsI|u(e2miyt|9Iek zJn%mr_#Y4a!vhj_tvA2me0HlMM)#9=uj9wor&OVa{*brXqpoYCJvrZ($gd;vSqT4e z!e5i{k0SgLi2XlezMYugBJL-N{u@zW61Ze!+H~gj+Z1386EzmV{UGA|o)m`qjChW+ z-2PktJ#`YY7PGY3bRij3cXWp|qZF{rd&AwF5)Y^DJTG07PlTCUeQBJw$?$QD}*`v3Z^M2fclKUm7*-z`M##iq!}EE4&{2wq+t5b}-StF1NsQ{dC*Y zS=W3)Uxg`HKhqc7tUttGbku<>FD!&#XZ+LGS)w+0q{R^h6=vr=MGujnIlN2r@D_8J zqpS|np!b7~O4k0Dx4MDs&IgA{c5$Gig)(QhlOXJJHaEkX9TXj*proC&g8K$Mg3;Lj zR4naV@*5^ISPZ!{V}SD@g%3V`a(KZ9o=goTIpBRX;`89T^sXZLNdnk>GE7%J5(Ukd z7X;{5k|1sRa?jbySok77EP$=dz>BY;U|7}}_}%O%wecQx)r?zqnPdQrOYe@JglITl zniH}#8vun>r$p9pE~BlqH*e~7+;1OAnp=E}=U|!F&yNWC!5~Rv`jUkk9Q2CWY4i&F z{{B5T+X~;kJ$EJ+8o125Zg+b?4L5T$LrVb28V-9Gs``T0NFCLg1Hov$Eu;Mj?jN`C z?O+?!PY3_3tyvmBQh@taVwUzQ_5~Y1%J)FQ0}Stcf7NK~2_;5Hzn}c*1rK(O^Q5r{ zK$%!m(0Kzt2ntBbR=~c>@8-vu81Zww{TJ*iALD%G#M%?FE&gDXar4UcXMV6VP*G~a zCJZ9KP#w>}bM_6#MlUPjeT`~4bL-bQ4}*1c8{4C*aG15a%}r$+0I6*Tj~b2!0%=)_ zD|;poq^bs9fw}Y;{o| z9cYbyz}dg}&pA2PIOCRJVu2bbB&`JmabBIa0o@{#3p|f9WiEZW4NCWI%+dIG0NA3Z zC_QbAAYObfsy}cW+>mK+*WKaSPCQA@CIR$WeQFg-1`kvB)j*%^=#b@DVTy_c4D6Gc5neF|k?g%bp+(CobOF5f zm3H#*KB&`|2K&5+&@cGEi3lOjb@Cpqeilu=1JQi1mPoH>f(JQ6hYgJU7=Pc^U@>r=I;Bq@%!$UxrxI=p)lw4rmq3#Ug~7TKR*8^7KE>R$&2HBY2gij z1e5Wc(PtSI`cv2^Bz*j*Bh#-?NZ*lGp%;({mHoTC_oRoz`OzGT`AIpDmn<4rIN=Km zru4>w8UElUk$U$L3ke=>qn_KdFAR>^oTri#$9XFhiVECH!O)LGJPQLNfI)D-1Y0-u z(>vIFmv(Omm>crT9r2EV12;2!5cYL+8N2rD;6pRGcP#3;tdJS`obWe=U%G(r^Le~0 zX1im(K{qNpVpp;zB%ORkJ#@t$etfk0^K8hBe7-YJ(+MZx{K}2A{HnDE+Hf<7YM1n! zGYl8Zzgx%mz?`d%$IQx2L4v|Jf&~W?Cazy9WTbN=^Ul52sl&}@ZOAx^{_bY;1N&M( zAf@_x;#};y2VGjL_i-Lp<3OP9??5t63EUDmr4KNgX`s-DEy{~?Zp9`r*sITQCOr@y z^LBD532T$__ByaGoWmg$BILDxUc2N4-&@Ll7SLG1iH-99H!ID6!_6lBQneRUy&T;3 z_8#u9L<{Pk+iXq7ErDYKPXta?ui#kl3AcaYnczQy7oD3lTRKj7z}bdtUG&pNWZt;N zb^LzdOE>VnsmUd#83w|F&9I8|w+Y@!Ggj?8Zx@c|?_aH@+=(UgF~PG0{}TLqy)35q zr@S6n2MApt^zP5=GS8YD@nn7YM6JNQa@+=vYO7|NhUkIy&2GDQIIlQo(6y!KT^J~E zIGqv1Ia1vt3`xCspJBSHNow)2Kg-`!-J>Zn+VD z(tr$)1@@Est6vwG7*9*sC4zIF{GFJ)By!zD)H?#_{NsixLZQHIPOTLCAVfTgc*jq| z^T7P(VoocuFdFsrz&!3B55!dohLpyU^J$6vH6mYx@XsdvAqoE@V!xl*UnAzTiTR`d zzF#BiBdM+Ld5gXrCf5Zt;SMKjdXup~+OL73Wep?}>E`|JG0varEEA16ln9a>#TDK+ z6M+QI!;ko*!EHV{Y_S;c)A+vF&*>eCmdQq1-@vt$G>nuovX!I=*-m@U?7c2~?>$Qig$634QbJZ5M)V|wG>}!1QG}3@ zvVEVQ@8f=5_v7)s|Ag=R{_Vcp*X`BSc^=1ko#QwhADJM}DJG+yB`?(FIo@QBeY-P% z3D@&hcmkaP)53aJ zNCF~mUTQe*vKx;DBg@yvrr)`N$9f@89QJ(}$apfH{VN>W?+F|5ztBRju5G@T(C7>y zHCI&ou`hWFwbtZ59B))d4xNg((nl30z8M~Pzc%G*O&6YaVc)*G7V zh!mfG{h;dUgt)!eX20Y5h?R1Mmi~eqqAT;u(f0B|&)!H-e8hKg%BOw`=u`N^y+G~5 z-M5{fLi~)jtGyw#N%*Ojs$#$E2IfnnTkW94GwbE7t0inC{PlIa5(*C(-N>3UkM#hFD;wj42?if>Ts2mjze~}(207>tgp7F}euyT`M2Y`3#ccBQ9Yvx|X<=cjD@vqGU|X#4x%p&*c8JN>LB(-T@^dkPII zW1;DdznXDvBrr{`yKUi!g=C=~fziSk*n9nn?`R+1@0HCv!F4(T%v#R>%-}o+O`^rJ z(ktg+Qc?Rtt!os#rl#uNUwjrSj$XDG9#ugL;82(bdCc52poCKY5xGp4XI!ilyPMt2v}tB~WHBYUH;u*(2lFD%qj{Dc4A(+l=g zOJILO;XO8Y>;r)A)U~M9*FIpDnXSeh5CDCT5A31);zP!rlluEON2Kw6=RbM$hq5BM z8~abb5^P@El;sN~pQXqv{OS;8v4nCDxsvmg$Xg;$-MyHKyy%QUu~E+|+`b>keqNBp>dIg0%bEl4)Lxp!H@9hqOc zSs%~ffKEwyCfysiMEd6&NWXfUQ%J?^GFVVc0oU@~u3otgHXU5*8UXZgolM;Hpvk@tkt z25qeTGw}Y=(<9PUcpseL-P*W2dh(1BaHFB&Xuub5c)gZa_3dQTzx>=ldR_WE1YSG) zb;}e)lKUS7@2?C$x)A+27%Ya5#vrUK@V4X8%kZax@R*mC_r~{V$mlk%pj3=SL>8G;`OL>?=(8<`KRygzh<^>q+QV5xNY--6648 zPwb5mc}VpAh`N?|J!12glgqy%L8T&jRTJ-tUgD)~pfS=qonO=b&=|dcz^pq*qYnlg2t7Y3j;>Ra$}V}F zfWgJ1lz|Pq;6(2=s!Q0{(aVxI!58b*%!IRFuY5&gEs z;a3~*yd}q-Md`UGZ0A^#HCALp&vm|chzyuR&PfS+#|Q_w((qa3YD^f|d^zzYtveL% z)jG``b8`fpU``$b31|4TfB9Ar)`JOCtzZo}jD1jSlN9cV9z@&w^LS&ij$LTKG_^jy zUm||*#xuFagZO^Za%I$S^?fjG{WKyJJrxR$7alxF7Yl_>@hG7&+^=ojpQqGiVGS*7 z?K?H*{6PQmcele`Bw)U4CG8Ut3Zab8DCQnuUv|E9Qk)w0OW(FQd{9dZyf~h=RiDE5 z31ezo-c@@+$H1==l0+bg9@Z@Qx{Bv=|HMtK+m=g7OHtsna`#1U6V?NHdHk4GiZ|Rk zoHslF8h=k$3%PM5#TF8ZJsc9)OkpPYIinv#I85ua`x(VWz(lm1G_k-Q`oQY~er}NV zbDp_z+5mRw{!m$Gb0EKu%k(AxFYK#VIH0+G3q62}P8dpWKL&|nVr=&rY|ymQIEPS* z9`IKNi+*}9hlVN*PBLNNws4N6n#Ubx;C$lJ=cX`Ma-7t#yIudrY6z!K%?z^cH-~*1 zL(}H?Ze!+U5UuuS{O3+OcWM1!TlOdc2$_0k=zudRij(<%+}Y4?lY-zZJug?(YZ>V^hKg z)?FZTu`aEK!v!wz*@(0axWa{>$B&8$+QW}aJ$v_$#{gd+P^7zHU8b3s6|OjW_;5IT z=j>l|P?VIeV^=c*E7reXGb!m%qHj)aab_jEr6`oa{QIBQRtEp z#M2$*thG7`!R}u!J***tLZij;&oQ<@bHnU-JRR0M_y?CN*PTDvV_(NDCe1Y!O`)(P z+`8^*5(E3nr;bjDMnmV_!BTdeFc_jsyXmJF0+MQsqc<(E9_<+ic44gFUlzGddkpI! z9Y3kXv+@(`;|I1z=TaHMk7(6~)uCX}*d#`=6peM}w@Q1@l!imw#nT_&oD7Bj&$bH# zH^RWXw#4x*cLan^9Ny~~5D5n?KBY(VovF!nL# z@QXqgaHH<0JHRVIj+3ix)epvJt&vmk5Bjq|tU!YML^ea37~0%%usQvzC}_xa6hAdOU4w4sZk_k0^KR8|`3qfMPn*qbt|&9cT^JOWm|HF!9Ptn~K_*oTo(I z5_uZJe)!k2f+n2tJT%XqY7Mtl%D;YiW)H79_4f%qHzntr`V%wOeP``KE+xM`_?bFV zqbYv2@do#ic($#Wn&SCvxZduf%Z^aTwsP)Ur!D-HtT2(6Gb86Mk;gZ8ka{XMLcB&14(}H~el15B8p{)6gnU)t%?^5ZV<8(< zJS9=Tc`pl@&j@~NXE55|x>M~x{KwL@<8WSSFf0!~laU$^1zo4ggcXlqIBcv_SBQ1& z2;MAh>|rSmjRJyaf7li&Tlf5X|CS-RZGK@O81`vBY-#ieBlB*H8AaEFi;*C4R!->? z-UEO6ic99`R}Vz+bDWeZizNQN$AS-y?8dq^1iur!udVQP(g^D@vFKfQ?7?^M&m{!Y zDZ8ri0(lZW!gFzM z5K#Y9^_7Vy#OP8Ydxa>~F^Dha+dtRcCe9Xe2gp!$dvZ53L{EUfbv%jgCDLc#*{ygGOwW9&&Mp zqS65K9~MC-Al^_|QG3)Lej5&d)MX?g!k?D#UnBfQ2>onAACk~NBJTT%`!$09iTxvD zzDB%G)JN|Yq7%P5G{H#fqpTgWw&=*35wo6`D?+X`ydk)M?0hESxx=(3YViw@D~Yv5 zi6sGF&F`lo_MhMGI!oL}sw1r-OUvo#QcK^jvl`iGmRH~k$LU+>_?GbM#=P4|>9FFX z_NY{J=f}nLVAk`f@d3Zyv%ks6Q(fW7?Z9)Wb7@wV^`0%cUh$CWb(r&sMd>`3e~0;; zLoZ*XRZ#6sLsf+|Z6CH|pcC{ohJ3|IsH1D&^!D+Sh@Woc_HHVCk8YVJBI*>2ygZI> zZ*~ko0iw*s7bg5+Me4DnqzF`yY(5y*aRbS;~|^;w4pneTK@1RlFa^+{V~D~#r0d~O!lRs;pFy< z9XB!%wajVV)uXw{R`U4yu@kw7dw24;k7{`S9cXgjWA+Bp=$wMBOn1=sOr=cM$sBa( z_$@AT?(^s&+m@sa{CVjd9x>l~5MS!mUb(`w_ZoWip{4(J?RDf+lCHkgoQceShizdL z3r3{h`*gblQ;@T;0|(u)6lCz{a`U6~D~K^sP%vEZ7Sg}d8IT?xgPdbXij$JrXi#mU zcu!Ua`F&%*>-10dL?H&IIWgXtnPWIZl$Yt2D-kY*3whetgRQbaaaSNaL1(i)hhB zX0e+u7PXjN33k04gxa({yapH&5tCz%I)9iya{0w1@!{4vB*>6>(OUE@Ij*9^Xm39< zJBK6=Q)J6mhaewD<0sm?eNeYZ{-L2lWpr~#i7aI|zAND_h}v-@3XL52t}W&nhGZ<` z^zU9zLJ}I!z22={Mgm3+W`+vqP>t%}1k?O@L}Hq<9-TRlSijXBi^fRqTQYTnN7!Cq|dV2c+jb z6Njcu(LD#IxAmNn$h9*qICt{}v|hbSFk&teACw{XG^1zzo1<1 zDbHa1xjGhgOeUZi@2mHN^4&nsUL|4vrY<^BY`hify%B5ed7-Uk9w??>W6veoAap!` z_pi;7DdR8Jl-`aVVCexYe9G ziHtjQ=lUZ{>paPM6rz$U62}{hPSPdGC}hQ>Ies=8pRHF=-{bn8S@PDNQcuPiU^yNG^2N>_JykVej1B9DoDBJ$L0zTLC^YRZ4| znZQ2+7wML>Y*ytiB9H1c`yGl=WZYWrSBa_MG$^4MX%`)3ue*Ta-E;vQ&gX%xUh^sXvB7)xu-lujCJ8{3JHcfa z&y(vOqTVsDTP-;*=n5nw#^*&gBq(h9v7U0r8Lr$os2K%Us}i zqkAwUJQ|2C!n)(|>vWK9s5_i+RkpN*)w=r-|R|3F~hp z?<`*R0U~Y^p0Gx$eh-1GvUBZs6!G`F%$V;_8nKSDe4i%As0VBse@E4ELIItfe|3WW zg(}oJ+%+3N90#wD-@hr$7X#lMmBmX)jxhYVh2cksEiAe2-880({d$FbKJ}T|0ke)% zORcUWY;pW(ox$z^?kbyhY7g4LqTj=?SXL)ES5~_An9C0Wwp6`iWyb%V&9LqQg){8c z_1zd9@&tiK!;MRUSZ7eT>o5198*Dr5uU_!e3!<2U&$*oP2BFoczBa4_5T@CsX`15# zr}~Vp7pc0!$J$ZXLo;|!u%1aZ&(REIwurUb=-R@=hNvU`4_!cb^O6tqcX#spuI^bW zW8Uor16JR%C$^b@oe)LNNjKb&EK}h;z-bCUCZDYa;6B&)i^+jO44z=mBbimarVLpZ zI%k)vWx$PZy7Ot14LMFMPjV=U-8V!@yd#~P@Sbj>wZS8<5L3`rR(RC>>Lkj!rJr+m z8TUVxvT~v#6(D2D!(33G1HGp{cRS~tH5Ax39~boILquHZtzHtFR1Uy>qdzG}GeqFT zfdEe9{A1vmbo1x)5<1v?p^@%;k0$iS4&J71R|aqY$93{cy1;2Z@!n$D1y=7QkrKyj z0Qr>v87or*3bnuQe}@FXoCMX88@KR2wC_9r56xVN_DF%W(j)9YQ#Z`M)~X73!-`}W z^68OlxFmhjseRyRF(-5}zz(D**=^S3aD4outMBeft)i*MgnDfr9!})`{bI7l`(lEz z5ljSh^L?X~f#ssUQYU#PGA`|utSQM!35EOAZ%h(Pec=7ty`4|SvHs#DYam&cNonslgXSYY)a!zHOHM zU|&%>+35;pv-@l#{oKLj5eHiW#xAiM>XANhS^b{8Yp6hu@2Qw$7tjB&g_#FBKXDrt zVkfNJJm<||uTJG?>1Ic0@|Al+w@nL*f2wyFv73Q;^;D9Yp9L9rzMrLyi~4Cm&LgEi z{(Xm6ZQzght{RCAtQXetXzK|}wzC)Cz1+q)Pzl5yvSjd?B&AJ(1R`6kKyd>|Q*37jSH zm%!JN{;xe>7$nI&K=1;=cRs35<=3!Y9l;OU<1%9%AQCmC#Xu-2RN-PQ#PV!QgKHbIN8Tl+2q#YxnlJ;JS(6*=HHDv3q-if#B(y z=Z`*qyN`JejN;1pBFMb^qvC~szep4axRzAJ#76=T*RHAzv3NxAGwCU*^9a6sV8~o3 zQ^n6g@H@f#rV><47em89_hbyCQ%4Xi9aPwP0PEW%aEsCZ@CyOD^vsnpideD_%8^}P zP4ch~@xFBmbi>C6(#FH5-RI2VrGD4%nzOhsU$^8@UFrl>&x~&Do;L+OX0fN}nGLyK zA?lc`y&b7PoBV;`ukDs|a;Nd$VNvEH|L4X4a@|AJJD;cbq;ji!g5rmoh=o{JDDe4i z#I)`KtWp}9)O==GuSw)h?+n&;`Wj%gXWSdQR`s7t&p1PbqPxQ>QV{$>rks-po#1Iu zjz$dbgP-5~jbEETgzS??_^%N<=Y)PXp$|#uFc5VIalaP(&we)XIx$}(`bR{4q+#;7 zvpFFSI({@{ybg;3(_0}0wJOoDoD=e=&NmvK?RV3b{~`h3xoZzE95V*qXE(+u5*>kt zE7&ShR08hzW|6KXVIQ}Lhtl5PaRsXI!QOVhSYq$*zM7q!I z#rl~XvE`bt_;LULDi4huvIggGzj@v2O+htCl>L%qBygBm@BS>Q2Nj0DEV}IRy_fgM zh}{knSiU*;TZ84_I;pfz`&O@5G}NE(SUgmP{qsyOC_fg6fm8~&GO^o{;2};eZ_(!h zqvB~93lA+}#U;|z=%_zPUij$i@y-=yizjxZQ{cV1WabO{WnRExn`(Y*$P1ju-o#8e zkU&`_P2duqUl_#Px1iF)I!Kk=X78pwK}`Kwd~_A|U;ig=Vz)}W*r`WBnf|Vxm%$ET zO)^n!zT^$ofp>=ebp2pZl2a}2fhEdbkN)V0eJ!5%$4U) M zOoDeajW_Kpyg}ds#Y?`u_Ryhg8C9C<2H$8V&zpsK!@#}W?bD?mF#lrLwa*w2!x{A- z@$>nBc57IdFOv_vneThD^uhza)*KsGly!%p$$={6KOV4P(er2~m;?eDholdEH-y8- zhPRx-^H;&;i{VYroIvTo=qgj}zwhJmnWEj_=m*rDA1eoYGOrCwn)+$V44H;z#yeYS_R z9kyp_UW$<8O1M14=C5Z2@I1Ngx|<(==W9*;WwWLLSN0}8uvV9XpxJdkneu8+;Y<+&*M z*_v3;Y#0peFMH@_TEk$zUzj&WEgE75=w2vdotH0r805Em1%j}nW{A8%1YFpxl5}!c z2!uxJS^ptL!>dQIoa$R<< zz7PbR)o=eC2#bWhU8bd52LoX12y?DcQy5%Zj}V}9!8)-MbjwB`{X1=5#D zBd@Ve=EG}V@wYz6!Yte64ew_H@cPOPSf%&%mt) zZWhTtTS!E=cGhCuF9LToSdU4wtVO z2}gVv{7;?|c}wK!vt*-_Djd>K^FY95KtK=Pj@Vz95O;y+jUf}x>p;%8^Yoi5g;L$& zET^!cPrWYC(6JYI#2G@RgjWfjga(d>q*Wz?x-%66P0zr+G_RO4XIZp#7b^r>;jd5WE|;NGapM5(}$M zHoEJ0FPi?=+cSUnBqM^KHzec}vr3|%P54}Owr>RaPLAOH^QR{^*@Q&FVZ|Kn2*q$n zTgZ#o!uRT|Go6oa1>rtOlMcKjPniN5&{Z3=?v**6$$(B++Sy#bVD`0C*+N}l{}os{x8G+de7DW^&uwwX$c=0 zLMNTj&nEOCiMoTh?^`z}yX`ewIK``TG^;%nl1_ctm2)iwXiw-K9mRTuS3Pu>2G{H% za>nv`_uX(PrMLH(D95-bcQr#o`Y61+!`}Nu!vf!x^A)pj#2t|g_a?3PfD<> zJ17W3e%s&qc@OKqH_$j`3hbff@^V%7KkguX9S|N=63?mDg zSg}rj+)W<3Ak_#w&u+D6Ove5tTW@R{#`n#UaiDFz*9jik=|s0bwFJwZL$JQ03V9ql zFJ1`khM6BP{CS2Cp$O@pGQ+ht@VH%iYvpxauxN9xvg=g_VZJbW`FaJo>63T;cCjn) z`6(D|>U0FvZHt?vhHT+_()$p$WM?pw%qzCUebd$jQ&%y3UwhU4Yhw|&H^gl6F;Y`< z1R2%yNr#>}!sQd&ZrkBK3a=;PcBkLZ%8GPRzNV{o1ikWK1}%+ez?aU)b(?}6`F+CG z5gqL@{_xi76nC+X2wd1%A2H-00v68K7osj(pp*FtQKJp|@NO#|Nv4q%9j|XUy6>Y8 z(|03==yR~&gga~Ek^K(jIGN-482vm;0R$hcn3`dI&2%ZLxzEOSVDRWhjK_0rsFTbu zabJ*xlq1gJHmla~d%3`Q=$SIyK)oIxC>=pGyvEFML6;m?D-^%ScP2!_+k|r$^Ee%$ zqdiw)z0(eU4SHpj9mV|vmr6DaI$(-dvN zy4ci5{&M+R0N)nb-4EJuAE}$}*%V7OA7} zW0gSN0mJnBOss)4rkCe8?+Ya>A`>5<`I7ymPW|0E$>yjJ%DOtaIeo`L#KL?tB-z5N z0czD7XDy(?@Osj;1cf7`o3drXuJ$A<&=bgx6uZ*@2$l=Na(;Z`WL+#!3UXD2yMr~=+M z(u!K6sMqm6m{CUnd3mCb4wU&+>~6 z99bF85zBP}@5|mTUtL{chVs-(^Z^@Szp;~p-GT&PcwH~jI@*zOXUN9s1p8Y%Ao7T+ zyyR!iLtDJJ)obs7>xJY;(u12UbfL8=NUgcjft;sA-V%9wT+KhF%U2OT`<$?&^f3dM z4$;~Te=N1HI^qBI&>3>R<+Ba+M}*j7eCaweKB9~cT-#^uM`H$y$x?kkt#u)!`}E$6 zez>0>%0h|?H3x=^M>fPx=#%r7$YUa(h&<*0s(3K8-t0g5OyD1Zi%2so?x>JG%yXYt zsm(DUThJx2bu2d3g$2sGVVfWJT$lBnI1Dm-Qo`isa_l-^BKW!HJeSNT}oB|!+%`& z_Axzc3515_wd~q&!9b_WUvQi|2)ro29bGsP3IuN!CLS;2$M@I-&suHOvJ&@*AnSF1 z@TsgS-HUzVD#kAlP~bcGfBF(s+gxYuM#CXWL!ev&_ec7uBy={H(UbdBnXw;Ps$4@L z`>K$&Msg5Yhk)SyS80?nspo^CqmDwOT?&0~xhBpWbWFsft4Z~oMzTzh)MoqF` z?_%|C+3mb;@WG9D=k0gS5Z-j;^3ey5a4e+!%dvPTXr@(BsPD%*!uQyu`1?rkXi%lV zebRwkuMl;N)h}H6jRXO~U%!UaL^+OzgOB0!DHe$ca@|AJJ24|pW&^4&5Wf0;sVb5L zpCrP&ov`lB)9Z>0lNkmO`MFK~Ip+VnLE9`B%iV!{Mb$V0>vu%*MF~k{_`x6JeXCi= z?4hDyU}z;F5Nw~7-|IXV2y)q_Ew(E`WdCBqpO)~SA^b%M{cNJ{AoP!j`+nkeVn3Uh zzY_B`qJKoxM^XJKsp4-KBytB)n{I?bT(6klr6O_oSU9&d?{)@EnR6#t`t7g}^j3-W zDlWKDbnL#-6JyxN>^WF7PEPRFsF$9#mItIa^ijpkk?&|MMj=xL`qX zxb2}Kxn9woGcVZdf%|l}47Mz+e!xqrNRMLX1t+~=j^!aMpq!UVdi>ZJUeC?>6pCQ~ zKw6QllMaEfP_XIlPF?JuLft)aI!Yh5AAdZik%aY=!k-pASycs-O@EA|q-|kq4{g5= z=4+PM&&GSwgE-hqTy0x!vX2 z5)Tg;ty$*IPVxc0O0QArAwf`GpMF=h_Y8bB)i1B6#y&HD-u@Qei~E1Vn-eRre?Z9M zTpPYMk4A5JJbUeOXO%KI_C;#9O4J9$YoZjW;P$g~=L{&HTI_IZgz6jQ$pBD4@3Rk4;x! z7(!}U@P`rwGkC4>mMyzd1i5YZ?8-XG4zo%nJp-ef@P3kFw`L;`^5NNQGtX-Yk~HaW zQagCbag|toFySy2z6-V^B|3*ogJQz(1CPc}1Ig;+;isI(L9(VY4{I#J_fsb|eDU*t zbKV|)VO19tMpx4%a9?y&k&Q!!k2P47Sj_yc)dk-x3BtSCgF$myLF8q7BqScIU62am zK)$U$S9gkFUll?3?Jg7gV6yQcGIAP#L5$tVY4ivb*Itk6IA;&TG0s>19&so8cG?=f zd6c!O^2M&&wn(l&w5V5Z;$1(7IpjJHX0JsngUW&G<$f(uGA=FoDCY*Ig~GrN!AoE1 z@%%5V_9ydP0IUvEJh^BY3QtBwua)8b>;P@*OOHl<;q;ZUw(yo9h^BN4Fmnn3#bsJw z9bDIJSWJBXn;!s+`^O)wwerB^c>I`2H1=_#x~|&H>I*ZzmnZul1j4FWy7#?#KRES7 z@HI;o*1_)(yf2jI10$%0Z4S?6l71&rX5%@9WOak&NBq6=`?}g_vmN%SrZOL4P{#8# z<~;7vb}l%udH>CVxGm&3+2l57Q>!S3G%Ak^GvK!G z@-%<1oO?soDWEI5@;a(q4fY=$-;s>-uEFBz`I|I+Zk*f{1g{VV$nJk*bB-8`X9&RZgniF_jR?aCke!Xz5o z|Ku})e*`Y>6Hm2nrn7jNs&g}XWM@;23{AN zftMmJkGYx|TvTJ>sVODFHaE^47K@g6FWbwxfzFCtuMl-i)U*A~*J}cS;IGkO6|XYf z?{buWVtyF!krQ)* zUAL-VUlJ7$guz;iqE&uHDA}Ku@LwbRMTmNc(1#@SkBHZa`!!-eo7g`h=4(X%h^UVW zy>W}vAQHT6rfAR7q_LUUQ*63rIwK6~LjW7ijKd}j&o!o|#%@f?8jhsZrn{s1`PG(OMMWB|5r z*N(+R=))(1muo0DGn6eaRCJkZIMoVG;Q6+>IxtXFsJ@ z7)XBkl*#xa0CJt%x^F&?fVD}xnj6!2593P=iGtbzU?^T?{fsH_-@Kc!1NTjOQxB<% zGdqJNQ}GT{{UErV-x0NdeM=UrCItHNe5F~UO-ymj30570W_t9)K&(jM`re<8;CiL} zSgO7|Tpco;uHyCqB5pKUtN*si2Lsd73*Fl~ZGbODQMOym8E81)1)NlJ1E~>d**l?% zsLn?{eK-^ADW+uoZR(DN(glaN84b~pqQu3!Jr4IbWZ~0g8Qk|_{Iz%q?_n_~_=uhU zYYP`@Ok29J52*5=L27wNte3(_z4je{Z#`5L&-6FV3BG>+;#P6T4`?qeZhnGw?5g&f zoB7B%LA6dt`YE`?CM6mgK~9 zTH<~D89$EJ(R;v^oCpO6DKn_v$>R{F>k4T%BeIw<{#xxfp;mqE3Ga^NWt&uZ!Rp(e zbSkzgU__g~BD+Zr?l@4Qo_7}HIO*|`?zHGPLf=Al*_tG5Kw*d5?aF8qSo61all`>| z?ejiK*DrPuHZ4o*IxNYBYW2U1L)EX^e5@x*<^U$BasQ2i~7FuhJj=gy+2es%gKi zLqLhHF3qLD7h+Di?L9Q(3C{F~HDxJ+U~yOcpt_AWNWXsvMtKmmrM^xPZqdiIM{${&3`rOdXUcTuw)HDU;*m zg6ig-m(BEm@=9$*6|Scwj^+<}H=c$&Ja^>}C7pqL{s*>_+?B}jt+0JtaTv~z+9#o% z9G-HJyih@5Sz!iRycRU$IV9K~8B}CWuLUW$`)txAOo3b2_9@$-IT?49GOzxaJ!3%5 zqhWci7Fpb%BE#vlfIITs z@XrUfpxUQ>)bW5G{8{+9Y38&xId6$PCi02Mw^FX|-!k+T|H)?p{|H&CUP!H>_GI-{R_c_f3%a9`(cXTel@-)YD`(y8Va;*7-$aqZP zEP=lSzEX=eNQx`Sk$HgN1;UTLYH}0z4ZL?l@I%FjP4My_eRy@G<@{b(Ibd_5?0k&< zC9kXwoZf!W8%XJ|w#Q+=C9Y1JEnb^Rpc@p<*lA3H?}yDIrj)G6d`9qFCI9z}-=6A{ z`vV032~aj^sh$e}p=9$9Bl4lJQOlxBqZ9;T)axe{B>$be3{f7B5cwJi1kZlWxI&rp zERgJz8q#g*tmYp8>7H93Jlh^l-fQ{&INan$Rs<-~t}+`RiiFhr&J3at&LM)I%|4lr z*S-sZ`azG~l2`|p;CF)eBV~_NT^7VTo=5K7j(Hde2AjX%8rmHKR?Xgp=C^`?;{cC8 zyHyM#>Ijz?rG1p|?cjufN!%kAE0A_zp&P>A2kr%qoA3Q=1~wl@w#t+_fwPCy*0AHI z@IH0(PnMfD*DN@IiQ6uN`=v^t?#=E)67RXubj%H5*Y%mk%bNKAXfDO5VKuP=Gt zA6*Ww4ev9uN2*sNrfHd-P>Hg)p6|FDn$*0%P@ivxrf$8rtLSxwLGc&NG*$M9@HZy> z`v`v;q8=jjMG5^Z;&tNwk=XAi_ScB{EYW`?>T4o?T4hTt^pdc@OqHd>mT2q)+P8K> z75DoC6N{YaZ}`Kcc+nwhwjii8{gg#_JPt~xQjSnq*+Ri0i~GYKB~WFt9%-yK0>j;h z^Ka*ABJD5VQ-0EzAmX{U%rgdiHCf~DW3<(oJDkDoLjR0-wkv4r$9gi)c|hB+W6pVP zLGY(jW@5jnjl>P(4n3kJp(u^=>MiM(XwGuavfHp7qL4A2I(^3xMH@Ce4`H@PiYh}5 z4%|`jbvgOxDz5L4`F^2AZxRr{m+`|87afxl2=7sG%Ku@2j{7zZ9n>)b`pNxQ*9*nb z#q9LOqh%jt(FW~AjkE&Tr)0PB$xERQnVN0BW>#?U;<~=NyA8q%S5sMw8!~(p+}5?acrqR!`~Y==fxR}C`AC>2y{xG`z1Edf(C@~)ZiZeyw0h}B3>W3YA@jO zbgLyiw9@q##<~xw$V|uv?_(VOd-L9}FdJlfVUyBauMtQHIzqXd0oG+#|I|FH53d)E zLa5XIV9qYe&?w#zwcMUcYRCQOPyQVD8Bclv@xI_29WsB$9Fd!yb;@0SU-&dMLw9c} z66zyd1%@-v0>xeDU4Qf=z~?g0LXiA9;EUUpn&PB_VtbdTZgN?mC-g=MjY9f}h!X*e z=8w!XKFB7jedz?&aiHXDtEB#>g*;w$IkSvgpym6qrZ@E^(TBnU};k6|`C=7Z$Ry;vHmJkY#_1Lc^s z8xn1z9Qq;Wip15uXxQnn9>;^dukMQAeMj1JQ=UlOw}Njh zDV#0k*cYMC&tW7F>#_(x)?&aqcSL*_g^O1f4fujYjCPa2nmzh#N-d(_Z;y_yJLvpo zl|*w3ytV!jR!HjodU98>1*-m{Qkm|oLdG56dp=L+?W_@zM>TN|z9i0wK^RgjEmc1P zl`PZtalK9u==j56Y|@6Dr$pWoc{(j>wV^7c2rtveeM~SOE-3XgFK@$lFRwWkr)>EV zk#9%p-buK%`v9qFzhrrGG_-oYyk0J^i^`Y^k{<0)1=f+FQVn|%m{|$^6y2(d!g32O z!r6hGw?rNj`9$Q~UxUoDf@GQh)>Son66kCDKx7A>3HBROW925O_@BEP=lSzV2&{%5AW5C-VTo z3k2U~aYc_myX-*bhqKp|gcUh-kiN{#4=+kgz*)|3ci=({#90JJTEB>d3eSV{A(}zp zoqb-V8td{TZeOLdT8RgdS8SKQ=Hlo4htCLpo495d<9%0+JU=1$kELRqlKPDvGEO^2 zn_I#G{em2+=X_<6^3F2)$D&YG+xH$?EPn=RipcN-5x@U(uIvBy$@E^<4; zheVqV$a}v}OojA(xlAf+M&8%*6097 zXU`ioJLL1V@R#1OC9>!ek$?Ki4s}qm6?gd>pjQ_MdmityMJ`Q8IDb{@lIsoWk7{rI>Zyn>&g4|aV073`c{3DxKI&r^vn^7Y zGp={WpOf6n+gILBsG+VBr&A}r%~89@zDhJJhgc4*wMo{8pxxp&S$^ZrXsyycGv3J= z6>~Q6HunXh{;gUfHoILA@9NG;teFB&szO^kD4o#UTH4*YVt=yVG2u^3@IT=%Lg;4` zuM_%5#C<<;zeen56Z=QRe2wTI5%IMDji^!ett2=bU{=Dt%&k>e83$4P~I~8E$?YCu`t^4oDI)CvW?b3(iB*S zYYKlZ0~}XQpgp<66FAF?cdpAgp^*$tuEa(wRI<5@=g&DqcvtaQP+2b)n#Z2+;>G&k zQpbbO*Z)>Qe`}?h`9o6BE$JVutlwOLh?|iT*3}$kN3_~ZGUA>z25!YhY8yIL^i|g* zn*-|u98_(L*(sijzC1qb_wL#jBr#yF-|ZU$D}P1hKF+zq_->6ij<&HdfU2c5N{s#= zvfewK>OX!TSJ9wCA~cMWtgJ}p!`|6@o#PxFd(UKq%#1{fth7mGl)|$zqEafMLZOVT zhOE->`T2c%o%eNpKkxr?U9Zb|ACLRKAFt>0@wjiqHu%E2;s*_S>(2bV5sCNh#?M50 z*CoR;^Y;avk!0-0+*@#~80WH5COF==#{;wRBh$vEEHIV4{vcgA2?Rd&^d)}Nf`!q) zs?J&17bl~U)TnzDT53M;aWC?PnD-tFe%bha%3PS4AN%X%hLok)2a?emEyc6z_jrOr zPUbPnE*gkE)TmW(#{T#k1JP#Z!Ks~0jk zJFdH<3Y!$RkPhtgCCpVXi2r_WiO)Jt$7h3xx`T4nlVmXPT=%=QG#glI8TGz@*bGMP zw_o@jc0sp#J6Ep17e+*#v{k>#?{x@A0RyBI|D7T5MJ&SB_CXo>-epq zj;|8viM~tLFJ33aWldA`?QlZ;kBpT?td&ux=4=;-3I06)>MFcL_VSnSVQA#f)Yp`$ zP{i7NEH&LD1PM1sR;+IdLJg;SEDCN4z-Uu*RS2&K(&1a2TFCN3>i+%DxJTU}u9{cW z&}%PrR3}}s7q&;5f-4mzcHyY?@RYOWISOjao_P|uhJ>^@YWNr^0_fau$7wgxX6O}e z91T_m=wAKRAd zfIhF-x1v|>$fABt)x|<n42etD& zc-1K5g9$c=|2@j)OE*}6qq{<%m3Kax_*H7hH0+qAj8O~ekx zzRNwPsuhJM*Qp+_I2(w1El6WdR5wHuw=3O~;fqR_BW>@{)IciHefbP60`-*nHR(Y;SdVM#_UtA>{7>CcBw)TkR zdY~J-W|cpBdm!r^iw7HBg`nEO^WeF!uE>z{In(e~d&F_(V1A?9W;*Y1l{Q{_ok~Fj zj{MBT<(D?noV_%{mR ze)r%JMpv0o*vgh`R5ztX$D6op9E% zpx?(4`geduttcu)2^qAz&Dd|Xf;ty5?v_WgpqM|ps9C8@pL1eA({8Po^@!Ym@?|f(k2|=55>F zkx|o+n6c_3RrEe$QNeMrVyzQW{Q9M((1MEmwPe@i(p-^9VD^Y^w+9L~|0!V->w+FM z<-Ydhaz%XFkMj%09O(TD(Z}3iqpjVjN1jc0=@sccJp;98RUOfbnng3L$F`ZN;Gq zP^NlL_Q;zcNXoNbYI}|6|2h*|8#hqs`cLGq5&0rSUqJXn68=ZTem}9lM$Bgu^GC$} z8gYI^^hXL4DEv8lC>Y&|Yu_Us3JUN+eL)M)ja^sY{B0M`4RLAB+Ry9@zYjerThBm( zGm7Dq8JsuP7PCF`qvaup{8k=q<)V&=&t==P%Vie((T_8ny;^{Cu>20)C0R~*f#+4h zs%ecN5IJR2I3no?j0YPojpSQG;@XuS_9NR+W7YJI#SR4sncTPPQjQ{ebU^kziHL=Lc(9ongC2Y|Lp^GO)(EvqfSbfF?%oE7pY~$SO{H z^4tk6s8(W_*E#C~<~l)+fjGA!rbRjLbr21dxCX4=WSBwdsTzkr35h6EjHBt4CcdZo zS2v}%O3iLcn!v+wGE?#&5-9NcoU3?j4N8(;-u9jWsPx&)q3)4<)Krvu^8Rac(8|C0 z<ZI%qWrh6>N;rS!huciuO1Toy&e)BQ1$qGE=+x#T<-wpayv~W?7M{;f zov(H3KLS3a0xBn$I~@J0Ikj0K4Ayd_WwMGMgJ+kos9sKqf|DM81w;EC!4S=@E?f+R zFS{zfnB)2CyVTLhEGHj`(WkKqJiz^?G-=y|{b8`7Wu%_+S{Imu_%|!;@B;t(D287G z*k92m`$+X>PY^w4TE-L~3P1Tt3or0ovdjt2eGT|rxZzmm&3WGt`g0xwvH=zqh9D(6 z`RKWN2-siz7#WK5bbecW<`rW|0N#}aU5U7(z;q_!&birRIKO4(Wd1r!7(2gam7lyc zI_rN?^LoO6b)t6ZV!a9v8J$1B@lArZAKcvKc>J-y6~y>tybHT+ig-*vt~4s+KH*ce z8H<5BG&g_o-xp_ybT?e_+%0SZS)85Q%y>2Ebv4{Cx%1nK98^Xg*j9eq39Y+q%9i!s z3CUFKD)o9(?9x4N32G#xlHBkYD)~mYp{N?J&AAcV+ls&0qW`&L==G9AmRzP}P;`N8d6~Wi4tV*UC z5Z7$cFTt;G)d*g4H{)C8H6ueTe=F(Ak`z48qQyz@nWKvd2O!iE zCGm$&HrcLHJP^=#5ZOLt`zgx41C}m(gt$6-LG`iuD$PU-IG))n_;AB|Bp27SFZZu4 z5_ny*fSU8*A!9zA1rvP4N4< zPnN(Dnp-#{!j2lV`o&MgTEltlJ-~{6Kx&=yOrM?ffnco-+H;0p^g0>6l6WmMF&;cM zR5ky+^nyDs7l$?qctP)tLDG7iKrlKg&6>L@kY3*->T}PXaorm8aI~8#siP-<^zy&% z7e@CI6wa00w*i)xohklRO2|g+&cnHC4Nz~i7l-dwbl%yN$?%oEMHUe_(u{a1qtY*&aItMsMgl)x>4Q=#<(pW02WAelk;WKW_Jvbg@@$Rm7i z||2pB^us-Ns6VFHEu< z3O`vuc)_0Nr`VT|z%7Ae0#5`^1$4MbEbY|)gJ**O2wv19ZyOrOa|9Ewef)Y;Ka59)rG9Q3s@Cj|0KS1kV!uOYrO9 zR6WTC`-KoXKvR(b^ z(J&(SX7~WkAG=07E^1|j^JxBRr?(wRgpCn<=k!w|=c zMNjv-((_db-Dftlq(=Y5KG%BY*+C~La5U1f(*XNOtXdAPk1DW&1koGOZQ57peZKh(jaef!Libn~von;!0vNg5c+ zc(fOKQ*~zS<7MgkPvp}Q`D;W!V)@TMoA8Gu{EvwJeqw)(n9nBWkBIv<;{1r{j}kPm z+S*S?!zE3Yk?@=-*!Ci)XZS!o#0@```LxpyB2=@+D(9)dfkH0yUi1Q0uMaN*pV;I4 z%4k}G-YP_VE}i0=lD#dq@a4zvT!$Zcf1UN7`E!FHNc|XicStu3B$iZz{RFZ9b5#I& z%^Mx$zPF6KpxPGkR~mSB<2@Mny*@K8Pjunhhf4o#QqE|U+GhUYh9Ruevp9TkB^u}1 zMpBOAekpBFtG{h8e@`0oijc(_UXCNt2eYw3^WFYFMKm6CH^(+d=$&0`0yeSnV zOsAgz-K+%?{2B4``H@J<@GonAQ6aJsR%wwAw1!3g`~9CANnqCa+dlmoKEG1W?k3~C z>_z)k^Ci+ouxj4lxsk^g`>>8(6T!J<`(JE$bcGTF2VJ+E$V!NXrDwaOhOke8bGlr4 z3Er#pDvW%Te>@&sbw&5?{e$z5?S0xWzoLNRQRxj^T7uwS7jv0?R~Q5`6xVR42f~zn z?&6=n_+BjH*TpBePyXTZ&2?kA8FbE#HT)9v1*6QRS2`0k_;!E!jLo<&h;|gdTat-{ zf#qYevmDk?uX#Y($ub&r0)nHnjl<~Ai5#zuqDC6Q9m8BtpHZB5ykYaCtz#S%RWCH1 z(o2StRTEoZuaAQvm+fyRT@oROUFSB_m_5j@dgXVKvKMZQP?!>Xo#=JKZB*X4uxO4% zB?nSi@I11NzPnC|l`BZks+`JXk%JpYub(N=Gl1vZIww5xoWaK^Dw^S7tD5}9_va-0 zo#5?6N1g(|9KEjGc&+;)zH@_5j_vBL8d6}*!*;_eLI1!?Z){;HG2Oi|b_y3Y7AByV0#OPW*D-jKNn%w(#`P6^Bq_)gumTWEp z?yl^&3?0o-QagKq&wwfV#g{1mTG$5VJqSEe%czMiJdH_CK8nv<+e6+BCA%W=NqzOd z0k%kofV-FNN96(XT7C_7)9R z*fXKi@I?df&*dI&3a$+SHQ%+f4Spf?I$_&Tct+KT!czIME z)N_8;AEM#Dn$y6OeAET=%>VL^M9oIp*h6(Xj#%3=F72Nr!%DxfOX>s#%9cIb7~_I~ z<7|Vm_9WiJ_=i&hw**di#txb%L{q@()VmyAh5cZ2@05Z2st_>H`RJH|`I5j}>6@?G zi+MOF;1)?L@mc~D?2|JOcwr5z`4h&N%kg`jy2A;+dmf-{vtc#cH4@a$9}s&S;X}tQ zfnx$s1WuF4=_Tx=l>dWgg8v9!w0)VAwm*vkc3WUj&)k&G8zp6{PbA~~;?awpMUK1U z;OMKTLO%83bl$ldy12}D;}|$@ej9GZnMCJff@cZ-CHQrVKxyN2%Yv*?s{2tUjmo{m9IOK zT=f8T0Az08E=qo7Je==0OO>f^UB$U<;4IWO^zDm{Om(EW^| z)zK%jND$pnarGguIq-e94t}}h00!ZSh0^JIsP6o0y_T*DdLL0Q?7c?Z6TgRvw9gI6 ztAgOgXzsBI9q2T#Ury=NhK@4yhP+w;vER>{UlufiYQDM&t|M}Y=vRn7hOzPKEq5D0 zgnsoJM{oBZG6ol+2T$ht)aZQ=(eKa(s(-%5^B5N6UIxDtWk6W{>n``tUz!v>-)3(6 zt&4U(>FW7mWeR^kSah`BJqWq-Re5ncrNFN?KWcfBf&x$3Y8a|&A;x_+buPZ@=w&?r z)37dIR7<(mrgVdh*1p=W`)-X72rw;?~0!&OyT=_nXY^DTH~4!+bv#xpgmW<`STtb}~z=uUn!4mb9?&?V9L%+Or1|&2ezI^N`FI!9cJUXA!a( z3IyW!+VQ+*`NR?d0e1-eT8 z6TjYY#1?ynX@K);TRy+{md3b{^IyelEW!;d%8cVv;f`=;Q(D4OC-&*{Nw=ytb_G`2 zoXFp5E% zQ<9E&!li-hW3sEm;L0WLNg*jM8t;Ki_Icb9@(26U(0g-#gW=^Pt}Uyr zv9Hc?p;xC#yP-UF@j&=}FR*OiG5Z$po0>Dr`>%iI2}d_++qbQWgj9U=)w5j-LdmIC zRcnqyHHXFyE9`qfJg4z?x|{ZW6}kW$tlOBnqOA}Q z9y%OoQ}%JtR!(#nk2i(>bGP1guhb0%c*pPx+Xg|mP=eBX zZcCt~rB%f|!TeF@(<#L!2g>3bizbVdfu(S*P9)AtT~w^wB6r*rUNLFOjf?5i>xx=` zD$XVIFe+i6e7d6u_v43N%H4h9f-Z*^hp&I&jE0uFoEQH%!U~hhslcBKs4Q7jbbMI@ z)u#LW<~?Jra0qqp;>rN04~+~btGRbq-brRv_R zDIA9T>RSQ_HtWM5{%9SKEOYqLAte?)Z-cs|w6D(_+asF-fj>X)tV0AZ%-*4fZO*es zu--=IXX5f%*YDOvwG~;zet4< zvG!&|seP#X!n~H;83yE&d_=d^&>j1zbMUPdvqyD;N_PfpI8cg&?gf<%dPs95|6E+W z9fapRC>_$VMzhV=`Cdlqqu3L9I?Ow_0<}!&>+?ru$nNdi+dJ-WgYUtO2K-zRkQw@0 zzuPDXqPC;j7nmQ2Iyo(B(X06`3C`3BZ`ZK*hF`*-e`t7qFR4`G;pB!87<3487?{QR z%m3<|qjKJbn-%ZXssAym+@pd%G1ce?$Vj1zLzjEdaXZ-KD|f80TowJUt}bTIm4mem zLbrM1E$F;+(R^-rO_?$xaMTes)MmE>-+vv;$z4@Ug7u&7#j%mGX}O%J6F01{yHF9`h;1cl3KudBSA>3Ea7qL3%_DH48|GTPSLCBUN> zy8Uux8nCi%^v4x;>}$il+5e~`1s?LeQ96eGb`z<_7nVO!>9{3uOyG&YoAFw)LhdBj z|AS|O{|H|E;MukBqNO8J|epX_C-haIF zd@6CSIVuTyl?3;ZTT_AHV}fT1{w4Ueweot7wL4~AWqR*9V6TnbS@e8wB9Ed40f~HO+gzF0`Z6Qa3|D>0BTxSa8 zXtRf<*BznHixB#@v{-WTUZM$of1A+1zVF5QY?WF-3vRf*)Z_$g&5E=Wyaq73zms&~ zoCFZMdFO?i&eAJ0dX86e?e_dyE?z|F^hVPNv3;h-AYt@@=kYEty6<4f-I&~#7zfZu zUc@tzWO)19=R9TR1|szNMs)W&f%P_Us@9a{q=+RD`cCM+5TAW~&kGMYU6g_rFWUiE z?!}H`8Fx_obV7Lc7Z1wV@U6yU_&U9hczmzjjLSwI))+*bxjH6~1XFI7>((7WOXLEQ zB=$3|)|!Y9%fo$$FH_Y)j@`)hm%_&!er-hbD?}f|cCp9yau--#CYx+|q>3XRazv{eEJ9jhN3S=8uT`HRAk;=#M5urzO-vv!SYQK!N{Z zFi2zucC|Q=VI=8nh)uE=s9$m-=dCqD;#Xru2W83h&xIuA!xsBP;mfcM<&EeO_!*M$ z<@H1;+`8x-@j@sX)K#5%oWTli8Nc87D$*3jws+r(7k5Ow3?uDhzn#(D(nIe*;hT-? zN|NfyDK4lW;XOy2t~ZkWP*)VLm=0GyH8mC82mx!8-wnZdZh`ndB)&|nAHhCoyv(;k zp6omX5#{xKVI4uhWO8!#V_On1Pp*sqDUb8Kzn@SJG;jb~%vu3o9ZPWaN0nC<0-?J; z<@N1ydz26SO@H$p&?A-PrY;2+c$Xw75;U9uCtj6_##DPl!?G1~-+M*GD_OVRF*OTi z$=cHnTLl79H$2id<{a|&DC~ukFeiRL7olwZ#m}vday*8UBq{O8_5J=!Q?AA6n$ZoT zQQJdkXHLdj{epPNcJ-3H%^wDbbG@s6o=kvk;w|NqPS$8g0)u{PxEI(seH=0~i~&<`09t)*pq_-Rn}+wz;AP?sX;K zf_#AKAxHR0MVxp4x2l#=fCknUeTMvN;-Tv=_4xQIb2PMzw?i^35!ic__+KbvzxRL7 zu^diUwTN*;@*}SEg4<#tK;;s{JA*Vx(60D-tUVjje!QRVTuBAtww-4kKjc8((Dzt3 za~YH`ifB^hxqH)aQmGSKTJczfAqlKv6&bTlU_8t<9xDPA!DHlv2VUrA0NWm3`c zFJF#cXjVqQ5-U3sceE=Y2G%(vrP2}sJHx(T-y4-s3)^{qStE(t2RD#b`=A$%29#LrbHeL)!fw(`0kPI3*x zK6)Vo!8NZhXt|=HnyF^KUwBSp)A5qSjLzuU;GtSq&3L%k6|?>A`7kK-Im`Sp0Q-Oc ztCO>~QtjG4CxAoz`%!a_0N{BiMapOnfsfNndOz{~E~K>_FJ9^^%6 zue?OO5Y_yX^~M<*+U@aSdE5vf=k>iK#|9|Ki|MAMGN&UdoIACW@NPRIc&8~r`~Zzg zMFft*H|uNXuCjuV`+^PGR*rZsNIUIfS19CqH2EfBKLrA(1a1kO9ch1w($n^LAK`=cd$_o^oDIp!3e@tyH4CHb0HF(n-YqJfsAU$6qU(c9K7YNik2aFI!qP68PJ@a; z%9m2xOxUnE7R>LL2HYoDz0coGfYmqO=IZ4hgL>yjjKd#J!uKbgHzQOM>GQONzL}|5 zDHs;m(fw@*{nPv~aaZIc-WT1haa-)ME7*J{+nF@mft2^4tLCIR-8azPygYHR*Buc$ zYpNK=puS8-gidce@p+9?kv>Qb>FrxR8btSH*7GfWap|=?*e&dlxN{&F7N?bVo;Y|L z5&B#i`Nw9XohxX@MHU5CSpuQ&gzg_aFW;v|_J@$o0cxV(tf1ETN6F4*KX|mp_`oE7 z-*_>7{X-hhEqWi}5jI=d$xcGI$gvL1->9f>q;Wm%I0gCWCS0t^^+FAYOzxb_#Ct9* zUj6*nsHpeg@>rs%J-uHc`WObyRA&!%J4EQ0``eb(qIT@FrF!yu6rOJ+`W~X+X;R@C z`OQgzrNoE#F4wxkcWa+ZlQ9%X{Yd>Z(?}cbERx zTz16A4S40${_g81136BP4YMcIu8uX;tn`F;moFUJ&1nZK(IRqwpDDmfRx|i{3C{`G z^>?lr@&|>j&uu>@_(9d~J=+;>xPq-hwRLi11oF2&zqB9Yf~Xsd=#^R_1#e(ndtzs< zF5Z9cnAV)WN`YN#+0=ZrO_A)^Ag-p@*+`2auiv@C0rX!KFfZdhY~je=bz^V+Vf&`% zZjRIba5JO*XlI`@y#Ed-FQ(C8JYxJzYpV}DAPuNf0};m!2Ivtq_T$Qiqr<-;5R zD<#uOc5;Dmq~$!9yL%9{?~R(D_jU&tlT+IaGku_=knMIZo?CHMxzO~S!5bV>DVNVs zu^-gB)^a8t3IwD{e+(yMe;h6eNkP>>`g6mVTN+~3yg-I);I;Ld0N5HE36F$=A>_%b z=TuS{Xv~K&iQ;+eN9UhZ7vOU;tEV>=^FBF2;&QFuqt`}oS!7k+DMNR9ouHT*(kJCl zO(zHaxeD(1fc`*2Rb>|yHl~UXWtgeL=q;9Q&g*sIrBTDP*`2PC<6_6nRW1f&8h(N& z7%6c7W(==Ilrg=oO!&ekhA(3OYsu`7IfItKlAxJ(#>EJZmnasGJk@}QcHaK-O76hP z@O5d>#Q{nzEIYr>I>Px*W{Yo*G`M=r{ga~$4f5um9C#P(3~n#Bi5mL{z%J1ZjDq9A zFqV%Ti?Vj3>iO=|TO*v|)q2a_SBLQ2BS)LRMS~HD>s2lr3K_$_pARdO7AP<%nI@9L z>_O)R;f?-&q16(gFJalW?E0c9)^y#W%@YoAk^0J1H`@~Ghub*%l}+fpr1v;4+wX=K zeEL;e;nUx6>z*Y?ps^}*zD)q6L18@#T6D9sI;e$R*OP^3VRvUKZIjy>!f4eu7l z{+d@=uH5uJjq5?9K{PLs1e|vRyv*>qSH)TXH+mH|&{r&TsahGILx@CwVOZ-4GK>pi z1y|kR;+d6?x=g-MBYc4Rb;Jwi)$U24U#loLY;q3sfKMT5BVR_u5}Lu&jF$47Rrn^BM76+Lx8CodI~x)ggeP zz-hr31kbJGzuOZA7l$9t8j$?x`$mMmW%k^|5x7$-Ph8Y z&8<|!{JfScBQn?*QXF*mM)&!{A=UK?I#+Nmxv1muwf9RA(MR0c>DA)#+zrTQ+&K1q zb;0{l%c~vEIDlKZLD8QXN1*-qy7|vB8(5`t^-w4FTMc^EdriUGh~BRdeauyVJ&xIX z?m+05!e+hiE5iY>-fDlj?vDU^-$V2}+`Ari-&`ic*lbz zepF(A7B>?=JLz|tU}@>Lt2o&id}Z1!wDJ6~^iA`9nPM)GVvbJvMf!lpT%4B*#yP|P z|KCDv1k2V$&SgADJ9FTn@SXqWmi?WCQ-gFpfyk#N^4Exb5yC&4@P{P)kBI$#VtoBwi4uJvDgKeERb z_WSo*vEcKRGUlZD%^nV5tiUGg!A}FO!dUkR2|OPba57wQ6#F-qy$DU!a)rCHm#pqZ zkl~75`ktq5ZopsGSW|(h@L*4g2+sjGNX;{$%$;+99kNZq*4P*546Rn#8T+~r-xKHR zT>>%w6cAA^Nn%ODJ|Q<^R75rZvo~l`9CN0aL%0OOCe<$>{m{1y0Bw<8T*wU^HEqlf^+QM z=JO21U4duA-6Q9plVGN|V)Ery+{cgBheu&PcSx{%Y7|C=#;b!(kz2@6D9y-s{kJ<< z3tjr&8}9`}$JZZtx!?uzJZiiKcpp27Z^*ow#}B^p+k2*z(x3=7Y@S%<2^@Vh$zcWF z@ZcyPyXRl*pHx%9MZ$fjmB8pv`(O`P;FdiXe2NTQe0@icAvf66kAAG^(O~HM&A0XZ zIH%#?bFaM)#+4cQ!Mgrf>7na1=;(i*HF^sBz`8z@So-J=?Dr-5F3Qm0-c6|KxjQDmp=@p9QODhBc^Uup0*|yV2`p+g~g1J!$6P6l!}=c9SPGzm-Vj^~8O}`D+Cl zckMuH@9py^+Kr&#>GavrL=SK)4*RNBZvwlEf;MEad*HnppR2`1_Vl`{P8&#Lot zNyHk4!`--F85en4Kge(HrM2^g4)OO!jvuthLZ+7|aM zM4e3SFFYfff?vEaGOIjRo2WRP5_4>H32;P|()1NEM z`430EPxKUp`X~^`7tQdT-4iICgMNEjD6sSOf;uhV^ zZ4Z;24cBxq&dg(`R$sz?tpwiO3^nSiANj(i_TMotENCFGsn1IA9SJt37%6`$CWF+| zi%oe)++jXqbR#tr&u_D@|9b5+m5y5i#{`}Tyq%AJbiys0^ndV7@E^g8okeL6Xff_^ z;;m810G}hBH(J;}{kp*I33K~%ZT7g+V8Cg|M%pD3op(Og-ihY)$9XP!iC9W%$9T=AasGyyYs${EUkHVbbZhjx_@6hfehBKY@FwBn*mv0o#C=C z1#UJdp5hZGgZ;+@y_8rdATd507*VHyX8!V{c4aD@&vBaOb8w{ZV-xz8-2e7aYmW}y zADPg?r?6;1~(EtccSPxvv=eL4A7CTyNw!(5J`lXz!5)Rr175PES?PKJ{|)U-z16NT6mUlBlaLz> zvRxS8`oNanuMmAq&?k=#Z1<@!_D{d0vuCt;^Kp)YF6C~_+dz8XL-afSA9A`4sbpx} z_^Tokt?GX}05O;2}e||6h)(>u%uuOLb%6 zQ3_~L=ghN7p3rwcH1UY?e|?gn8oR$?iYIKb+&;H*|G&OqHd-M6Zi^cIg!2d$!h%G zF7xo?(gy6`s3Vy%RBYySHuJg89!$X?W9a9V!I> zxbmi^p9J?UO)^UK4G@G$j(wFlfzr1>ynE!11D;Qnl@98|c_Qm`f?8WVpzDD3`^Qgl zKH#mmQP=Bas2W_3zp>~JOP^|c`(C=kM*r(=A>A}kVC~`#srQ7~ip$4{V%i`<{C^ z5DfZuNb<7be9MhiE|&8CFuEi51sZdPH$`j8z2+=nZg=XdUc5Iz)Jb25O%CH$eW>Sp z;3b3W$bN0nKKW92U=BM%qLx^~A@R_ei-AT^xOMdNTfA>_p1Cnwh+@`6)`?sX21;Cf(rv-jlwK;S$Wk$V3@5R9I< z#;I1pA-e?tpUUTO+4K6MaJC~BwTJ8cFtFFC~=CPvlQtPkIh!-kUh#1Y? zvJv<9Yj`d>@Y(wUe^z$pz)mWZ{)|c6F-QSXr|K48Zdcf6r0}rmgC%HjGz5}9J44f@ zLos4cJmK)@rZ;SOU*XEuWBMdNd)V2d@Y~7O9(XsNGEi!6r@cQ2ek5&u@a;Sm1peL?jQ1sj>n`onmiQc6 zC!(x1NSaEoZ?XEgw$Jkvc=YV79P@8iIP*?u;aiReWIVB1XY#`ndVf90nwWEh?qo?0 zRw@-%^IXk)ejEE_|Kpt~PQIux4;MO)g1=N6`QY9T8J^)NQ zVv39s10Y8Bo98cH66EQT)D{?B!TIQz${O7Nmt8V=$cpz(T4ghKT06PZaZBKsz!QPf zeWio3!+3u3|HU)Ge*`c7S-#o!d5t@uN)vmHW;I#dLjc!Bc5tK@_l7bZ|Ot=7#65{#V}#-5_ttfxLLnpz)QR?0`AFUm^OK>GfWMsa>u>=+~oT8&!Kb zyx_;YZ$gpo|IBCnZ{I`oJHi4J4<0V#^KsUm8T8y8CQouWAGUM{3h(#mjHm$E#>Q6k zcGv^<4#+W|dhP}LZm`n~4e>s+@K>>`Sif^Gi>I^Wdg~7|m8X`w!s3^Gd)pH95PQ>9 z)E8z8^z&}`w!?m^$fzvSM&l#STVIvHNc!?w?d6vZ`A1GT!52{3rCF^)*MC==$>?$? zJus}BeLeNVoBs2M8VxWaZU=q_nl&Y1N$76Tk7Dbm%Jh6%B7cp@7a{z!34ch!|A^S{ zC-&Ef`D|kTh`3*)pCA3}kDgtYe3PE*245Rn98~Ka=$}hZ^7YI1fdgo3SOVLn9dgKC zPQ)b~?+MlUn7Y3FY7h5}KA#MsxC6&GkB>Di#!zKp{fPzHK-rF)o8wt94_d8IUh8{8 z0(q}qWt2Ub^po2tMLtmcROapOC@mDec~@hy6yC>N-}}^}_P>78F;itBGea2`{Hx$v=kLNCk>lr9VEg$rTvmdjdwwNpR)YN{iBr5fqKy z{nUGf74>Wo_%kdi36@UOgppP%JoOzUQF9I8YSLUw-Z~3Zz@@~T`@mA_!TOcWF%d)?#KJ?ypJ!vsI#R%XXm@> zrdG2LynC!=c9KMb-7`IGUr)-xi0+`*^=MtFY~=OLJE;kCmf0a^o*hDt)6O#ryQv`4 zI4)TkOa_zPrR?qazJjQeE#D@iEVkmjqWI(yM^{%U3}p8mP@utZ%(rNtGdM5zNJgE8 zlqEE5O{rPe?hE^3w|kwzIl-CAu8)q6xP!j2$9hj!4|-jBR{Cr@#e#it?my4IA{GMT zCXZ&DUIxI|)zS7HUY;-@BHJ&Abzz8=;;d8Q3p<~V%&o8Wh4%8)4$YHf`1SWpyCJg| zzQ55qxw6g!LT*ogp*;zK1xfiADcS+>Or(-8?~fVeca7-Y52V8WJ)A#^Z1H&+Q`tvn z#YHu$P@m)0C_mWe$T(iW915s(oHfZu1CnLC!c-(Vk|lZ>3Lr|^Bp%5Bf5IB$@~Y&`g8gEpKNXxOJA;sGTG z#sBavyFpL@zZj3M13b--T&gI*`HSx|XP@I-<4cSZ8i&u?0PjQ3Gr_yU!CkZK+b4Yf zeW1#yFo??+9`80Xtiku{Z-2$No=~O1<>lLtx8rj*_R-WpecV^<_6by1Q^)%u|LR0h z=hc-gMtk5aoZ%8qwgtzMlrfnbc&~VC;kOC{Yp9&?xOZII3W)kvxk-tfUMmPDJ=w0@ z9X?>a_Us3(+kQ~z*}`j;OM_#BjwebVQsJTYWi#hOd=Hu0zBgONoz6QxgWFye_EYIN z+EyGcyfowt-=Er>s{JK{M!Z$(&^jBqoXGs%!3fWl{KF}MTLP!W+s~uo({?bJm}Peo z=WGvjjo#Xi|G%G<7a1CV#rY2Z@OH@Nc+UF<67(GIt6j!Ea+=@z1Cvg=!adXTvyXI0 z;N7g?D6~R>Ps}z}+`Mkkpe}zc;0=|ITLQ-fo(P=k%>HI&$8${oFP;hhBY4rV%}tEY zfCA6%2|i(X=tAcWMyr&F^(qv|{GD-2TtpKjLmBF??w6qRj^9q}s&_O)WE3gzO?TM^ z5qwPWEWy77zuqzWxnn^DfY1R#7YMzJXb{yo%%@4$2aV>C=~Nw8*eo{FPc_m4wQB3i zwo)0iQE#tzrilXjcs$K&XX-b#7yetayhaV->i5$#0&08Eou4ni3I+<%{rm`hi`Oqn zxbs7jp07pd-}i-MTZcllV6uC0^t_%flqN@YYi#2{?3U(64*b&e+|tYOP1S~YKbp|l z>PFwm5H?RBblRaK-;g!H0t6h^aWT7@({q@SDk zPTN39#Z+S&=IQUvEIpYI+~7s4?-zwwJO^TXK;GHf1HV@efW)(Q*kMEC| zHrFz*kw?+tJ0xq3F(2h!vEmIgrS~0I-&=|eC)t5D_qkGrNniTUH%!rZ%kg{So5gQx zyUNMHblH=!F46`#zP!<@1$%lvZOXs=H6mYx@XsdvAqoE@V!xl*UnAzTiTNYqevLRk zBKo6EF{>s*H@VP1mzmoM-_bw3s7z}5RCkvc`Vcl;=Q#FR?Qc*2fv~F@FtKNh{Nax? z+)YZ$-MYyh@?!It`0=@XcE4&tAKue1?gNep29t*DDIIx;yl}G}KN$ z=8U#4?vjn{GK9qt&cilu{`;O@r8n%2>@)*Kzs#e8Z8lJIXQp{|`eCqAPR@#9w}w{E zq^FYBmcUcAzfxz~40^*l%SJxA;QROIlab6uAoq7trV7uITs~_h8Mn?2?tP71j1sqk zp_pAJ92~0Xt0+(PV;LJ@IyyLfc-aX`&)Nv|ZKQy$mFOz*G#w!7X2v-8nPHy?1gx4; zipBflVFkO7^z++6{`ByU-Nh7GGpT5(VTX08RsNK>r5T9J4*DmyE5JR!=NWyBR-k%+ zY$>Zt8;vCQYWm>w(x9xz%$m3lv3l(0W8@}`3@;z|Pz<(4M;5j2>g!n`k!FX5BWl=p z<*o09V#R|L6AwS-kJ}|9*=yhc}|1=To;&m+T(o2TP3G9l7-dbvaD^+?H)69 zj$W9~x^9D=CdKd-8PQBEQXwO%)aND(a8_{9p!F z3zvCm_}=A$YiE?-Hb;70xeXp2{j?(p>T>_Ab3W-0kWb4~I*QLH9~j8(y5k0pZO-?* zH&9`R{x1t}e17^_@Bm-14h<^9dN_E#*+Ouyp7bErO_3PEal<4M#N3mM@gQMe`*ruW zwcYcF?93j8K#BqEN!z%^M$!^8);Vm>pIUv3r9V`B%$J&+Sw4G=__RVh33I9FObLhQBg?Rz_qJ?;)YcY zLsfp*Pi0yMC^);xT9Drv2{QD<<3%L2ax9QnS+_ThW3uqwN|XO}uU-*1JxhVR)zQC+aCFt0P5%p$Y>K5Y$Ur!F#ztE#~q zwTaR7r<}W{4W}H-GI!mPe)_e4d^F5?wS8UeBYOoZA%vf zae1`eamt=>B2-nO>HxaOv5HfGk52GtPr|&hpeM}!^v<`DQX-5cGJ{roCBXe%)d#Bq z4bnNGTE6a*^4oy;xj3aYT&M!c(*`r!2X`VL*m{5a+3i54yvCKbm7R3H(?|U~?>^8a zy#8brY1+HPc-JYvX|(r17h&oZ`W*4cysK-ktrO^eePIwQfbMHD2k6Ki+L3t2>Quu~ z15fmK{EMSp=`(AtqE--+xc9D>jXf|X?zaE&M+rDLv*_y~-wupZj9ZM;q$vNyp(#U{ z*`yFq5@!QyOBCtl+4>NB>)cZ-5AwN1Nqp3CE~ZjvM&z`B6-PQ~fqi9Iu-Bz*{vWvk&7vxc`zmTz=wUUtMh zKbp$lYeifVRm>;LHYdVc%Jz0}=ny+o0@xPsN)Z!`VmeN~E(A-+6HRS)6O!LC*0;v~ zXFRvvxJdbgcIk{dH(74sw4Dg_1q_%-QZvW)w8_{uCPZ%-mf0vKdV`EG2pWY)NQS+xh>)X zZzA9I-1cw<)(2TfrBU7`u2*m!!|M9-wmW(*!1^U{(@dw#4fWUd?rb}n5ELK7s#!4*xv||2+r)#le4h;J-ZZUmo}`5Bz^TP`h|@=({8In=fuj*lh%> z`FAIS(f)dsTDyp?t{(A|&fZx66WWjXCb4y%0{I`ZvVDEUtO;!wq!-drK79AtuD}#~ zl;1MeKq-gzaw2jcGCVdzb2YXyV>+rnKy{$w!1cQ*r`3e>&FMdZ@Gx94_b?F&z6niL zU$=%pTC3*5r0qZZ?jOl@pQtkfbkkSr5KxgF9`e;p1FPrI!4sx-#gL^ z;Shc*xMR^G3T|y@oKLtN1URP|=MdtY9qc2IeNwRx81}iqdz^Sr0ng##duH56#m@=& zeLV_v;k=K001_(J+=_OD0iUH{w28Ss^2bx;Hht&}ag~oh3o@#KG@bo1!(^v;8R!Pvmh{j*{r$b90}KjE+26V3WcH0FSIWYI>PUh7T&aN zdca?5$o#Gi&HIFURga>%jyE=&Hd|+)`xU{5%humaVEf#DD3^1AmAX+nBR%97>^!ky zfqpN+*`m%*1J z89sWg3g13w3!#L|8hxN?hV4^v0`{tD4;Impkl*uQ46$jb*BmX03X zaaU7|^7u?`F zQg~V;5{_y4@ML}Rh7*on5e9>1pcMQeJs<5$j%_he&8+Z-l597lVi6~pSZi$N`{fNI zU&!-evs1YZ%?ree@{8n)0+L(LTfF($_a?toMqdXf;pIhoIzCd@_ zY4D?V5WJrj;PhBtq2cweFGK zrbC!J7K?;F*Ca$=C)yaR+C$sn&;c?AZD3|vv9A~9A*`v5_XoZ}zLV2J?yE#F958y= zKGdOx@=gL(;$NviCD)CEwie0|%3qvJGiL}dK38z9#aj|yrTdFBjf{w1yK;TC1SJwL zY&I)mX{1>`Y<&%`8S>UUIp!J)9o-gz_2o z?7U2g{tjYEU%d;QU_@cZPq*Sgs5IXZGQa8#L*Cp%$@|@*6%($260RJb>xkrC_a1{?H(ko~D$G za?j#wQx40Afc~mHn>OmdT)I_J`Z2@@G;Z2?C0qyqQ!1maf3CPgdd!>sS1+Tv?#`rQ zoqfpn`~0aN1*1kVpx~@L<_4s5(%KWZGd|Y^T%03j?jA+{`3LrDy*Q>0{j48?A6>Em zDIKX9RrEZL&-aV4-JIfUUSP;p$NnqZfT-4zFpSXzB1SG{3rC$EyfEkMH4^|LWAyW6 z(lOM(^51*=KmP&q&e%Gub{Xn>U>vO7F0F-~iK3wO0hZFD3A)1s+NIYL=gVMqque;N%3Yu4#Y6Buv&{%vQb(7r@k30d9P zO%Kp;3^+`I?qPjjG(9Zj6@qK^dq=LIIkwK0rU2SIlJJZ7$_M5FB@%8ijxnAvPOqv{ zcs>!d`4^rs|6yMI=}7tQ>Qe()55054LU}KNdBeluj|le%bEsEx_toqOgo=YblaEu- zp3q<3@u_~%oOdxC(oLP(KOT+;%*U8#G5=zIb=m2j=treZ(gCasSnmY*g5odJM3eNP zZg^!&XSEdAa^yNUe=valukBgX-N7)nvMX2+`K1;3-#yxq;0YV|9cwqC`*SI`+MATd z!EmKqGu?pJ8?c^XeY<#J^Bc-*8voKiuLmKY#TkQvxaG@GmJxuIzRYt* zgJ6$vb$|>V-fh3)NbGG{8$L(Z2m`gOPhpjZs$iJKMJw_ zcRgY7a9vC<A4z%{l&WpXy&~QaO|9&mnoB8{BoZ6pI)H59dCRI<=yf%En zWbD8%pU>g&RWM_}y-zSu*GehQ&Y=B@BCebVfx7U}o{XIl`8^PK%LKE~UR{cXr9ro< z2ik|G*_XILD0A86GpOua41r0Ry;ohO22O9j~g(CVa@c)_yA`jH13sP zjs@}!{(EjT7^1t%%{(A7FXc63xCuzNZv<_NHiwM!V)GBTF%v6Q8xCV1|Mk zl~V|G8>`Vumj#1bs^4*cpIG8x4{LsM#?fW-!#r+O5gKfQQ zV-Lk?$Jq ztttQl-$%$@)QH(j3v6t;W?UhR9nBA0Lba~BFeDk}{%U`$ZZ9JvFfZ7BO#OJF+l2TNmlEp5EJ9=qJvP&> zlp{8tu=_g}8WV$YjE~#NQ4a54UUJUqa<14H4AWeit<2~iQuxls;DL5yI2nRgxzU~$ z-`D166ob3&byKyPgj>F@s56{TI1Kv z$^^#I_x1%(zg~UFs8zXGpo!|FxKoKO7f`-><^^eH0~ZobF>WzV&pRKEQDxu;okr1C zksr!LvS0;GeKGR6?H1qf*~3j>ym=~8hN}kqA)d}-bO;K9nMf*KFNecKNyGW-aB4+( z)_hKH7s7Md^R9~*<9a)e7S`N)ryxVZEygj%6UN)q>SG_zB^v(=&zS!(F9x)ppltWk zg7ZhbCs@jq2+SMu1NHVBrS@=$kXqG7^Kuz(ZRabQ0!h51Ty`?R&n_0ijbHAPI(`f= zA7h@y{EPWD;hDqf{#gsaI)HTn>s?w+P)4RsBuO9G92Tv(GItW=&GeUBR}G=!$W5XB z{SokKibsosKO8uJGX)xi1%O-Oy1DBz+Lss7(9;o%0^5E`Q<1NJq#QY{Z_+s^2aq@Hf1dZo|mqzFGi4TQp_x8OP1w(2-=e&#PoImM{ zUwSmqf$J4q$Jkr!B$ugn1*~7e=XbqkI~D>ma}l$(rVfDX9$fGEycmr#=Fx$;>&wOi z`6@sj&c3`lFAtW#k{=w*RRX@Mad+trW2mcxu;Vmn-XKD`jYUEpQrKh2c;ZZnt5F$*y9R>TIX5+kJj#lU+a+bLm@{(3RK8xZOvffbYskEdo|+j{?8QY_BP-% z7dPL!APk;A!+V~+5GLt=OGvj`>NXRA0`_%vHEjad1(XNBD_W?s6I~tI4cln42@bPw ziVt&9o{c@l=l2!Tuv#_N;rdp9IONt)kic>X^nR;!X^`oV@|kh|AkJUI{_)r!75hVC ze+#_dkN4N`d^Vmx!tV?Bk8pi7e222d6!~|jrB?NN8W9{+Ez<$ap{t(K!%Cq>oa&aaU*zI=C5BtTz zV`Y{m$=FbM=oy{WHyQ?D0eb2%jd?uuGvbJhiHuz4Pco3^4 zdc43J3JdQ%AfGe`D%TrK!paQ9MURNW(UYSF+0uasg=X%$Be3r-3ab9y}-P$f^woV-LJ`c*{nt@`Zh6xTXf| zLuCgGOl65_{h9s3sDE+KQ#Ea{Tp9XInuiqpOM7QN(M*caNIW#*m%vJthdgyv5Ih2}&(YK$_hf>14a*HbD1}M9bZpy6X7&hL zh`ne`zB^r$P*y$~+0d&=C@fM&PIl=KQYSj&v(HKs8Tn4z^h3l4^Y=&lz5FL&03J2Vd5^ebm93RLz;L`C2lNn7~gx{T%7e5#N zDDIjW3FSe1OiS@EABZCS`VSSocSC!d_?*;BxT*b=ii6M$YtPHaoWMjnFjhg!6A~*0 zW!W3OAypwt!FvPcz5PAkTYHKVWsnbnQip35w5ve17JuKaIoGf!Q0gpjBy8&?~k$_N>K;gje3(uJUFfXoc-_zT-+ZtZ9+UONjsF8TX{dE+r;<6VUWcqq766MJh z?Q$#&LU{_9cMdovny+<4K)^SvQv=P>BtFJGi}@GxYuc!c8*8*XsSd)rfc5Ur^;=WB zf^`AwL)F3-u3t9#p!>8lJeAKDuGZvVv9k#W+UPIw&pU#k(|wP3@=ZSwHF4Isv+fV4 zQkza)sf+_1{>hVTPJyI6U7z&nPe)6SS?Asr)3_GRa7LfZXTGM;eNlWO<=TZq+j|%; z-Fv1d^YjSN9ny>VT_6LWqC+)HsPA^%dO0QF-lPZ?yl1sE_4X6EUcq&Yvq77OWx-(r z>(}e|YjvG$iZCd5ry`o1n^gDUdMB@2!|VVx%EfC@bpBv%2P}(sjxbBwLj2U|Wma_m z!6o}me$Q=puu z$xcMK5F5|+8B-#<-<#})vpbAN89wd{G6jdp)Bs*rAJ{WXXP#o`3`6ZDZA<@|kkMMp! z-e1G>+4%k9`!(D@!u3(kaM+u3iy_e3F#mC((-VjnS+$>#Z@Vr9!_s>u1-SO%%w^j; zGcYSqeY)$18AN=i;eR+O2k|!^SvH(B1&g8TH25!u(DiyS!2tSl-4yWYy&Y*=Afx?(f~< z&byZ8w+DS8?+h=WhY%m(yW8!s&kf`o^X9eFXd>#jgl_0vi3@}IncpT3wC+GZ?|O^f z*A|EcIy+{`6vE*~_WFg*$lv1cxuMpGQ{(8f1=WQ_=d3z6khAd*UW&2=Y1XKek{y0T z!wIFmz2XIg@<15R>t+jxE()oZ)<@4rcU(oO$i3jpskikElgNMP;)$$@Ushn}6hEc2 z(-*p(d``VT77PwMJ&zyoiv%6luGU-cBSBbs@f+tiUsyH1qv4nk2D0THAx~Fg;W@Y4 zhoZzNIMO})CG!&U*SJ4ptNJw<@_R#9xaGot>@LyKhxV^o{*e)Xq4|X zbvfrV+6y4hQ(Rnp;}7G#9m94Hz2Vd?RFA4Yo6Cg0Y1Hrgdrq=nOB{1KqCrquI(3Pk3I?yew?^$R zy2AJT^=DV!%R?$xufZh|O<0oL!ghzp2~H{)^D$*}Kr8QX9Mc15cz!wAlf6lqbgtB$ z^NPq$B7dI8`MH!Abin#DP2{4X4Dz3up=7;u5JDQ`Z|Xeof|EH8IWd`5uuidqo`=#3 z_G&kao=xz9YrA)wyNV*eq3VHir}dGqTieO~A!|eG&*wHs)E(z9xj*;@n58?=h_>rnpFw*1S6$X_g+lLxd&ytH$A*XDvz2e5zU7JY_769)Zy z#-C7_!F7puwOuHu%_qf*Z1y$Ex3v`=IY6NenvGJ2wdekHNIA0~x6qb_)yG!5xr4kw zu}pJJ`<*0EPhQdzWHN%7HjSo5HaTLGIA0ZwJ_k`H#2NRT9{Hmdvdl=Z8AEru=(99- zSMcE8RvGi!8m9a!%7Uydp`hrER$-?z%s4ZSG%zVbiSN(?qm2{7`N5#(U+8&f?8t`` z`hg&28d-5zAdqxUZmb;tQ;z(qi;gJn`TEowG7DVY*q70MUvS2J`XQ7n+r4aVQ4&Zx z-<IQ~xe;v7czMuBSkJ4QT6cO$|1&8!5VaSQ_uA_Px2Pg39xgdS&rwe*vsNz>ZZVEAo-j_=?3v2j`P}}6 zXUu_fXlF(1Ld0hcd>8Eb>#vI)HTn>)j7|x0|nyxsslr&6i8Mcf{C% zx$ce7!@rz>RxXuNS}Ybg7!GT&UygtSCd2VD6d_}m30Bp?)y!h!^R*^lQYHUXh71;e~GJ3@6# z*ok}8)g*o1N28Z7kl+Zj*FM(Kqx%r7?^yRUn5%i2S$$w2X{*>Fdsh&As$YE%JmF)U z1gqYDl&3sUs-xn4g;Yn#oK5vrrf`D2do^tHtIeU~Ld@6sGv;W&vu#1-nK|$?n#*^y z=|hC$5XF=8mSFC(Nt`8KkyNkXI_3(6+xk<&1h9T3IzE1-lI0GuXZMb7^dm~3UkuNipmMRm@+={Z{N!svcooBoV z`B)}wiK=01H-Uo^6&;xa9$@+D?fK%L<|O^!DsSOaMT7E_kNyeLI1oVkeyOMoy?Y$; zuc4uR1hrr zz8Iv1`HIV+y;Qzjiwkc>Y)SdFIDZZ2i(vn3><@|kkMMp!-e24FKVRz!c>W0Aui^d? zu8+c`dm|Z`eZh<96Dy^%2A!M%>Pr)LpnHQbt)xRf5WO0ne$Ty;zru|Kx>JsjBPij* zXXFdds)EC%TaAEe_3)n)TRp+;h*6*X_J4d5Orn}DNum3_Lykq)d^TA_^389t7n98) zyf&4o4lxy%u zp0Wzn^G7yKF@&=F!tzt;y&DV2Pj>T_S5)_mprXBD{Ve+V`IBti2eN(PU`YLnxR4LZ zD-feFyyXFpp3ytDECs*>&z7}`a~^OuO6NXffG7Aa3r}VTqq#7dcbtn<-f%t!67$Y1cS9qoPe|G%H~bU5q=5uarWwfr66#QMjEJmhyJFM3>F!rcK3 zCIeZ0T|7zWq{kHPcV2e_^$p1o-*F%0x8>Th!4s7M-E7s8pRt&J=D+u)IAV z8vySZF6D6bT0p_Qo18yidV|oG!iTHKcL1NOTZ3_ey4v9oqx(}^1nsFc+CSr6x{G{% z-|XO*TXTo4N>#q+kss~+L$bghLH;l@qB|711Nog_S)rI=_Ch)1e4C{a52W1BZD?BZ z1P_}*_IKIgKxM-id1p8j_6#wMTfNc*TV%F_6Rymv@AP1--KY)#E&sA-ZyKPB3_}3h5||=d_8bs~6Cm zR!lmI@^~;Wor+nJe}eoQ<4a3TzMy(uGD^VtcVH;cB~~5CwRMB3?b!yr9qu6N5JbK! z!5u;_zc+SuH3A{3SJ^SEPH;1Mvu+9U0X?iEwj8)s3v9!pOvq3j`i3lu`g*D>tQe2! z(CxK>^kwd_^pBpvy3}%;4*6~_{2Cj(bey59bXAnH8 z4=B+``)*TrLhd+4_`~fJQJU_D?V*WM()cr%8(ih({rrjElXOnP_nGH2p?)X#rQReB zF&CKLBlpC;&JnCvm%LMxT_EbEV6VTFGwFO218F(qVU~~^A32fj;RkZvPgU=~41~vr zN1YaU0^m^E()G=)Zjd>1^y?i%A21eqv}+~Fi^MzAt;(C6YurgV+JA#XRVvU8?BYG& z8zUZAKmLmB_d{3sCaETJ3TAEyih7QA4@xRwvNTA!|GS*#T+`pFJj~z2UU5 z$X2N>{v^D~)rZuKzoZorv1N^@z%3wne**3!I@ z@7bNlX6%yQB-~;gV?1G;ey9mCxq1ruk^CP#WB$XuSiWIM@y^K$G}KvIn%2>N(_h}8 z*ew=%M+^CHlNmB}xVph?C8yowZyOTtT=#E3@uvmN)Ubn3BlAW%Ky?oq40q%3S}0M z)>pEoaohnK_KSSBe5(x$^Lr+#pBa&Kb0?F-GQ$Zsz&gwFNaOB;P5?=#*S;OLyrJL- zA_1mvK6$v2beDUBSMewEQyC9(F6mFzhC&_oH{{_ZBzQ~Wxg+)KzX?NuJIQ{e_)0SFGQoVxfn0#$> zmWnDD!1^`H{kv^B!W}-G_P67r4JFk*xZbgIyzSFn?+FtR4!()V@q~hhEwnt*-XQy- z+x`OjT*>SXtZeG@gQ#7B$>(f+A>5~I%YMZF+R6Hl3WHF-^5yxh$5DS_nK9{?9%mG+ z4ywxCu?&aLO(w7Pjtx>uSp! z3I9`epnbC=`yQl*TgSkh!sYp_N3o>u=iHmr$W4lYkW0Aui?G`u8+?5SLQr3je%f-hQXgc3Y_!y zootkMg!y7I-YPmKN(NdDY>TI6RGY|rUss!4DK`VXtZp@qh9*En#B z5#>w>?)jF;J;8E6P$!}~;FA+~%H9*mxB2h6VKSEFiGCCfG;-I5Jij|Y-~5~H%Oc3{Z_C%6 zeeXlSYpX3qiv+rlQhN0+pB(j94XS1Mug8IbOs9?OOe|Dg{8miAMIU@No@}YyI@~INNVJwsz*LIn*xHJ@4CVO^U3K9l5H`>yeK6O>CyCYyJZbwOph(B zbOrezKPmp*KxY8<3uSMdq@}=xh4#d5wC|ju7%{f#wmRGny%EG==nO^&oO+I3HYA;^ z_a)ny^U(9^<6M^9uP7f`WTgL@pNBQbbpO2ITaNZ{MG6YoCiT&My{@{lw-tP_rd<3e zX9p8!u5py1&+XQm`SGL3KX~_@1f+;&AaSAKlU!dcme>{6$iIc+uyL(M8N2~A4NPT!{9h$>&QLRXy7(Jp?cFj0*0#eb1yVR!A!vH zxT;4uy#CGSEqcZPZY{5UOQH&cwo3omn3JKf`|H)9zR5^Xs}tfq&lnCG<3+FR>7qc~ z?8IZohDcC<%iz0+a5y&Lxt@DH23n7;HnE_(vAB=CQ*ty0+RByg^0yj-uGLZVf*~ft z=y)x!U#%2@&xt_l)|#_iPQ=z`W-EUIYs3$Fd%vC4AUI8mmVZgIK|jN^$cHFd0-tZ0 zU1V&heyRaWZjDENiW%f|bv_?L^Xo&Wd|Iy|U-FGl4WAu{&0%E1+Bn$T2@1I3$?#)Zwm!}340U7oySCFsQUz}pxVw_$b zuw}Yte*l)2n;1Nf8$sWe(m|aob`b4*O_J9iNO;?Dn~u~vjqrV%mYZF0Vj(nlx zH-VQYXi5q*6+!U#k3H$nQ6D0G{j|!s8MxWx(yujYl5mT0jPZnVD$1w0EuG%>UwFp+ zhk5b+wrwL`WA<>fJBX$j?ZacYO#I$v$+>S&-d}PDw zf$kWRKKD$2`nGX73Mw_nr$o7;0qZ-~{rz0wv$p1uaO8HWW{YzKTnv|ebu=XcETy?$ zJnD~zj6V~KBbku|t|Qo{ob}JGyMf~L8%E{pVlUXs_tIdeh^+OVOpLR19lye)X?zHzMG~xk^Xv5ILMzZd-0JWkyIBrJ{NhOJr)gu zyWf@V+~x;cr`e9NaD~IcV>fks1Y_Wo#N!>Mc~Qt8S&Dqo70toTNmX(RhQU#@WafH0 zH)4;vqTG##o2LlT_W8#?w%8vM`yb(Y z1@DpI`D{D~fcxCIe}s98K|P3CdMFBJIfz+_a^!ncs(eWHDSH0f;=W##7Yk7>jUHLd zu5c{5?78AT3qs;Fz3%U1J;<3lt2LykLHa!01^MFXZiYeOz~dwN1k#D)V|fx3;b3)t zyTs0-2)G|su*T8k0((y+-+H5O431Sx6_NIV&}FdsO~YYZIBCx`{8|>BM+!pf5@i7V zu-7`8ZH%6~r;V(5>EsEjJ&}wxeBr>X`$g9Mn-@sz*dK6zPXz1=X(YtgT>zh(`hwJx znn(|VZoXZOd1?=ex*S?VUwvUunSFx{dn5?N##*Mbq8zuQQe?HrCxb?`S23+I6k5k8 z>wg7DK+f#RO^13_h~=H~8PCykg)~b>^@S1CCs7M~(Ip{F^aku#7>%_ex}>SrzP`34 zJft>r9F?#JyH2^X+F!_zWV$D-o5z+AzHpn)mQIf-KCadm!0G{yUkS~fRj~!$yRC5n z>-xa-Q6uQsj1#=7ZhzCh*%EGlB6}MB1o)7D-!2hFdBrc<&z_vu zB3yVAgzltR5VglFh9i$1$b_21Cy3sl}?MUZ}w}|2uPkSP;xZSd^Mft`@VneL+>^z}A zp;NQJ&jljSZ5wVu{!%huTv(+~xGMM9-#9$^;MI3ncNvF2&ti&A-uJU&r_8kN{aQTWVX=vUY}&9{=p&W*69* zr0`>-!kolQgFdvW{#PQQYRutCeNYta+^Ic4u{{YU`M=Cu(};%&x47#jb5U?$?|7q2 zY$VKI^NV9KjD{D_e!M(Yg6`i7(+@|4gu`5baT+)x{;^>wiuSRBl}lk6cPFEuirUZh z;!rqL*w-K8EQ*HrWo;&UU6CLXf5X(@F9Nz)DYdC$<3TWucZc+jI556k+ROJk4w`mA z$Q`674Y%Y5cZ=-!#Sb`@|6gDPCQ(>6Iw<5iJVo#0BK=E z_+2Ia8RfA3#VN)u#_4Vs*6O|>N#K9&oAC9R4K#0mCSoIOjP{h5 zc9X>zlknE}hKEXGmoBho4qa~3b|n~hUUx2GvxY`rPIG%JH844M0$m_F0*7ShIC0Px zrumlhTqyKOxWzcec)~c%Oenmp>uB*WJY)XDyy(gNQtaFoC)gjHDeJssPU4NiF7MRJ zes$2EF$l7bLb=P{M<>c3s}Y!YVt?nqx)kL|3>i&+l{9lDFdt){#r%u;Rk$dwu*=7S zz&e0+0qfoHgBl~cu0Yb97Orm6yBLKPdi7|EOA~nkK)8f)=-? z71K~C*fa2q_oI1(EmY&Xuf7N;=_Z+|d@9q8Sim|frWUeZpB_)rX)F4~IjI|A@IK?m z@^W4nNq47851w+1i~^aj)&dik(40hx^OgM#RwRAS^&V(ZKOYXJ;{$t31tJ0KJJ$V| z=1mR}U7;{|CQ!0`H+l}C9ekU0IRwfwETyA^qCq;yLo7MhoK#16F_ImzLib*wGT(P> zn0unUB?XO{Zg+SgaLOG7O}h8X z>0mhdD$pi6A`oI2?zJ%q1;M(v)6VrGd)Urp;J*$1K9*1FvPZZB;n(Wi6bth0Km2wf zO>0ICn16+y7kR=0n=b9Va^x^I`0zeEKZ|_)2e)ls2yiq8daCrH>)-`1t3G%d8`_fe zKe#G`edkYWD0Xr_QLGQ^o-ZiK z`Oy1-LolB`J%=xB>~pM|MEmFh_l(15&-z15ncf$VNDG3h#_n-LA=*EF^mPs1 zq-H0^mq~VT+r+@%vjFu){1}H%qWOv4swd_uyODoo`+LQ!p|0>nV!feQ!4A$#+$MKW z^a4)mlSM4{w(wbo^H5)nB`BPk`>|o`2i`Y*r^#6CA%L2z+N<#Z;<<)%YDrGO_#_VO zQ7&c8pn_?5pa&5{W#E$9pab~aMCz+>JwkhDG$(#tEu40Rsmjm(YK7iVs$6;ZPOmjs znNTx0-b^NZmSW0pp7($Pr@VU+A>0J-_A0M}B-AHK2u$8WAq9tdtPeHxxWm3-YjSBf zXQ0xJ7U*`@g{v2ncZkHQ5aVeEVIg|z1YP`@r!x$mKz;s*&9-PRs197s@m+KxUe^Cn z_xT|L6@s=rW$qq8_pbbR@PZ2j{GzE~MLrjydbw9Q*WJNj$xdYAsv|V_IE0idJ44Q^ zi-Mm~AL#DywQwWkmyqqJwd3wSXBfQgC?rYi0o8Sj9QuA5P&oeH{;=AaTPsbNo2+n7h zw@roG5UTseC0fvZlKEWeTKY{_2p4K|RM_w#^%;M}gn8XT`I7bJ4fLPu>|vLj_MV5I zeLy2Z+!%2u^>84p zpQ=-+M)NP7KU11#WBkB;vs>wEfG@0MQn1OH#=-RV%Rb2~5kUKdG5W@uA#68Q?kYxm z@cpSxNqq<0V9RjVuuwe8!F{MppCKOrr-t{QqbZDp;{6uy9+d}?c)|3NxFzif>aQMl zqn#T9xTWw_W+2rYl!hkSWWNT$V!frij}5}dUtT&Qts&I$-4)ov&o2Z71OrV}{ng)= zQDB_QH5ia><@H-D^PikE(Q6hjPM#AoyDC6{!U`C|O`y z?HGvzS0^cfnbuG^_C~9?egO5)C4IZu(EgtkZQ_a%%DsaRRyh~NR3WxDzC022U5wwi zYzsp^sra0{=4x8e_mcq5@$=CmB95reaS3hzs0zo6f3G_#n1VG^>>{TI>c9Lw-@^TU z2VRd$fkOeWh4*EYlOj6z_}!C0=us38%yM~DY>Wgz9U@e$?UvPkM=|_e)so9`A8UVBRh_p3#{6~CZ-YIW3pt#NN38A zJOSk6nJcw^yVMS*^BoP;P!7?h#jOl8++GmZ$R_(1y+4dwjAM)^jMMxqw{q41(1W<1Ato&Vm{`UXw@04tD zV0?w1=X|5mX<7duV~011y;`Ft1V_c7-Wc-D;9366p8HjmVAie9RPN=6>v1MQ0w&gk zdyip4o%)(0)-$Yci-XSRt?D=bOaC4vnX;Mgb_M&PywVX(cQ|8sM7;;)TyJh0)GjbJ zCh2C^Yz=>PQUG9`-FJ|BYf@+!NvB!Pr|v#G;RgLrgEoZtoJqR-Sxj@=mr-Z9O}yL| zUU&$yGDM|h@^eZ0?CtUS*8!AcYCBlR8kOS%Sl_Ykn?ETW$@}C6FVZY_clvq*eY14f z6|`sRb8R+nFv|~ett2hjcH|Sdj>xS15VFT92==8r+s$O5IfT*<7OO}fxFwvbQeT1g zMhhElLf$)pDUbJ?7^VRDVm2tj`5gId{;gMV9kcH!C$X;#-QWGyFLNQeOFmnCq3PS} zq1~a;q`C*!J3F%Lcg>*vf|29Kyw(>3;Nt!xeqYB>9#3J~?v&zic(*tCkCjp|=y*3L zYoI;!p-RTPpPnLr%n6E+IgT)>RJdB}iSAbhAF_zF$@@b<>%OY^I3q~a4BW-xCITxW z4fe4;%EVK-t`?)`ez0=jM93E^2{fmX- z_$`nWXAEELcKz^q?Mz&MWura2!-EK2WYd~z_?#!mk$X=rS=<}Il zp2TEYyt^`uH7TDK=da;>5$vCh-xu~j!u$Pre+|!P4y!uF{HToP>>4M+LoFXpSv^Bb+;9FKzS9P^kdJuFQXj4PMcYgc$6plTTE(IB$DXdk-$AL z<^n%{a);SI)gfkH3u=$eXoJB|?m5FJKo~NA_gOxU^03Im$nTh-xuaIj{-HNg@aW4c z$`jdEghk@vh4r6igjX32=dTr12YAX}+|9^I#EZ&L=r#BfOv#%IE#tU|Yq9Cv?x^0^ zap`mWgMNN=(D?hhIX(ELR$6^V#0w@vpHDdsA|Ln0($Z&|=CIkk_5HhxA@Igqk)s;D z|D$_;CeNigfM3=NmHZVqsFJ-f!Zm&X=$7*DMgBzdJX03rH(VvbGxrX^va>1abslpM zq(eKxfUWt)k~Rp0b9C+ zywsXGL|pJ3zwrg_(aJnMPBVw{smGkUDCc~E`W3Zw6Pjnj=jw4?%4nEKJcNpHOg8mU|g5#~j z?&n_!5KEQcX4fx-KyU9Ao#S3;o>%`>lf=<5z`W4xXgjfha-uquSDM*{)q$ciQv04F z^85FfdHcaQ2-Ei@mJN*BDMB8Kwj zu31gCBfcvi`?-HC)DzMIQ`KI+4}c{TTkBmsK_GNHQe!uo`%)PmTr-V}2gO0t_YWgO zLEHKc^R8Jxf-&gLR5vfqoAU3zI1RJje z1KTDc*klj}pRTZSrSJrzeh`;?K)NrqcITg{KzVAx7mgqObIXU+x7L4dsYSlqA25zu zo?2J{rqJ%O3a7U7JhP3BwMlj6-u;1m+$7smes2TV4e1pj?6V)ldTS zG3Hs!znEXw%tzX{? zsz=oKRDD;0luomSJ74w5x+(VOl;r9qPr!AS*rJ$u1^F7{I?eh?!PW7xErg~muxYhe zk#*N?kd)J_WeJh1vIf+xOxSHJLQg zgyXg+9uLJ3Z)kDM=7xVag=c-WUw)%^l#!LQlMf!JV0ayI%<3{r#tt7CU`bRnXY@kv zwMX4L%DsSvTW;c@s4sNa_AzyDae~^8m^a%g5O1u>SIEr}$n^?d$4p(yiw%6D3} zg@DPDx#M9$H2*TDO4Fp~33d-k50@rRq5Y%4-8CuP?wcfg9Wzm^_+y#pegSKY)l6`e zq6GOHNS&5TNVLJcrPCBXve=Sy*71B=Jbw+(7s2Z!+#eG6Kf?F0@%=S?juxLk!uxCZ z`w^~V*x^3D-&|2px!SY&Egt1$K0D`nNzei_wyq*Q_SAqk@4w$afRNYW01>f9s6bSuGV|Iqk;$~Ak)rTdU$(S_>Ps@z+pHr~Lbx27}I zi1I9&US8XsGk~DQosAhX&dcl!Tb^7B4S}xwM@3<% z-j-!LP^6=71i_9dIITAjN`{@}0v?1w{&j4KgH9V8Ef)BCEX@&)uQ91-Lo4of=mj$_l{%G(1PkgpR2a!Balw;E1#V=$DW27yN+dn8mPW1Md=f2rO)15<) zgbQt9^{2%K-yJzv3;na!Ico>0`z+QI9n9b*F;+?&`BF5Pt&C^|bP=QiMlC zy6hpXr4OD!FTx)Foy!d(QS)_@=m@Qqt-g;?AAi@+yNsgDPB6mUQC5s{izq#=>I-^1 z!0ju-#hdDmP?nu`s0i&%l=V=CMhr#6VfOE~w3abosFt_pEBhI-S_4U;*iyB`IhElhmi>6P*;bx(RUYBMF7$x|WU8D*ELt1{$pA%>=yi+_j zcbg>?cZr&&sfGfPf!%|5Yao>WVUBEb3j@8^$JwTz1_LRIeM{EKV3@mWOGy#XzPefc>$3``ZneHQzD*J9^~`^5`c4_c z&xy*r1b1UiAI#Oqa;lxA2^M#WvrPs@SRb#?i{=3>jBlyM=wz8G`F#8AG|)BTFu?47 zc9=&AIYJQox7fN>H%M%k|B|Qe0!?4T6@7LRVWErZ&5Ixsc-KVNXdOl8{%>Dj!R(FY z+#W~3aTE_r4X$X9;DE*bxg1t!;JR*DXPn3e9Df9hPx4xmaf;&>$Eh=Gfut#R2CxWw z-A{@(AR^&W!Oojg|SyJElrxLVL0!^|K2HLQE!L&2yUJd zk#NLtKE`<#=U<#(4^@nFRh_XQ`<3Ckfa_hoRF{7W+V{uxf#@Tee)gyp{J43_Gi2i| zcIouEf7~Hktm4YVONHZln5XXo&V|{{5O2S1sAvT_(M}>?3cZ$FOBP_w0+o@6WI}f z>#WXO%`4C6BFQ=}2Wn6BssbS8_3O%f{y?(sI=d-;$+#N|_dMhdeev~&5Z*YR<00N; zefE`qBrt0p1g`pa_1jZ}0oQk2_pw{920>~5Q1~!jc!(wto_(xk6|wLGV#CUjs>D!` z_IK^2ncD>@gQVQX(ip1iLMq(`+bh2)`}bGw8m zoalZp^ovPVL&lz5ui$k|F@J@#+Rq@s^{e6DK0~L-FxV|@ZCnFFVk~BML5D+p~va<%=rU_rJa@1E~|535`Da!Q`$XmF4OAnaqOBigTyx?;$ z|9UUIB^1Qnj{2H;7K;%SVewot0QPS)o91h!Ii(Yht3O7UnKQ~_9g|UYU zJU~`T&tmN=+MD_8div%T5-f>6x!ril0{AIvUfkl1!b)x$j6Ito!4#4I(zAYJ>}CnC zlWVmQgnxM%J(Z(~d6n-k-P4YIjc2qwYLJhSbbxo}J{w-BC^jAcC}M?;bVa}Qzh{Eo ziB}3pdEpFSzLwf{N(f@fdK1CAG7Kh zl;L%&sJLr}GnmIj%ocQ@dFpJYrkhnpU_WJ#UE1LXG@@^k_9fcG?F$kMMZwl!D&WR? zxX%$BbGn+gI~{{l!`99}m^{Jh&SW1$H!qwH`(Vj+L!bP)?f}DZ;^6?eLh~^asLbFi zOTWKiupwqN1m`0@nqt}0>h(8YYhzo)_Bi(lJ7Hz@--Irexj^&Jy(aExKRxH|tJ6e! z7xElGV|L88C*?kX?WZ_SR|k7BHnJRrE=N@ZV@7rE|UWfHj}pcMgq?L_xi{1Ff{dn3t!7z|d07gQok zeZehVdo#(y2X0O9C3DgH!w1cVDYsgLztS5n&uxgnC#!z!2%x^ZyJtWl^4XmFGW_zp zWh7)&P|KB~y>FgN^Fnu)_d>*ZCvZt^C+$3?34P63BEtUepqM1`z`My0X1LWh8akcH zyfjki)yR-*2}i<;gfq|{JCBD!ag=lfTn*mXSw!gyL;2^*u_!kS-9R#qJ3nXcl>(Z#bly+QyfQ!b?zK|hWax5eD1BhK{>z_ zHFY0U(OffT-up#-3(6V&i&Gr8I8NpB%~l=jZNONlf1UH4BQ#ifZ}})<3-71AZH7@_ z6UW;;E5{e38FQGrRR&Amt;RO@+y!1gi4;mf`%l?(LKMyo&OkXVnEEiq4N^{< z@=f+QlW~jV7{?QiQ;R8=lwFc&FYv$cjPoDPi!o^xzi&TBd#dfXDn8he$h<)?vs^xB zg7E&N+hi_I8`~?L{Nj?5E{5~Y4#vIC$EMw|ucetmmBauH=VP2_asI{mb?eoR;@*eH zFkA<4UBLB@G-Ex*W~M`P7I?ja*D+Vz(tp_x zIRUO;wd}m11mwe9o+h%qQ!#{G_u%!;dr9wwy|2}wEN3G=w^JX}Pv7g{;AMf0(#CfV zzj4J{N(KFNdlfLQ@X3kx8r1(d_%z_;H6`qOTz%uO?P3dN1f!dE8%(R^0kM%TbE2CWl-IhCdm|n@TRCT@&b)Y!rk8s>T=zQ5UlCscBdM>JEOFNuM^JM(+ss-*&lBn_~%F_PW`{CfIg&6C+g-GvEnyo1ut_g3T8$)oBT6p6BM4 zRx>pb%Pf`3tE zI9AW=_w0|=ZA|#*(3fq8*|7Uzwv>kXp11zJ+@X=Yg?# z!A^E41{Ov>>YXXpgt3#OzfJ0WK;Vp&)l(0&hqU+n9)k&2*yFF|B~*fZ@$DII%pXVl zO8x1AJe4+BeBj1YJ2w&xoD@LyCffVl$W;AWPlVX>v2!eSVX%+;g)v{E7FKy*o6Tom zG^8Gt7)J-j|Ax(=r0O*YZ2wUh>55pWK-C4E4u47Y6o8pR>boURXc9 zw>!>*gpKqs9RImX5z9P~s&U1@4BMDZ3NQl)tlFc07_J+VdFfjmwNWIR^Lab7=cd_d zN38K3TkU}xzSv|8X4v0phRwG+{c-+mhIvIC)3{zs#A4NWuf1Y7#5(eP+Fwi%u|2P1 zJ2GrYzPf3>>RK&(#NZvfi=R&%0Sou2 z)ur7q!V+@Smh0pDWO3g45EFjuID;*Q<7g(|&Pq{Q7iKh)|C}8&hV56mvxW{JpRrn{ zlIw1sWSru-#c^t0$n+ZegY2T>V2q=o zCr>_#%saoOElP^%&qM#s_|tT!F9XiUIM3qzi}UM7+u=}9M zPxh<49$IuYZA}I<`*YargA?i}uh*QiXGwy7O|@8w=W*ar^kk?@E(+AULeme=qW4O* zRoChHllZ{IJ*2p=LE{!9Oogs;#sdC0*vLb&@6TI6>uY2K#8UV6Z%~m^BHq0$ctI2xzXoM!9T*56Ag$LFu^Ce=JR z5e<@UXZBCd!#MA`)9ht|MmJ0>wVqm}6<4KdiYjY_T;~6NS;I z1kA#i`p6C8pcF*8F6YfL*srzv3)yPOew*I_9kdpI)`SK8EYp;+c`I zmzQke+S!p}+Ydx?-GkRVCmtS8n?-fSG`4GRIokKv8+tJPa?uX9TDleH9Jd3FmsKSi z+gxF_a_8X!qDpZ>Geh;c+tgCKi2VuDI-}-xx)i~3I^MU%cFdob_qeIquy|D zq@f`j&0Pl6v!%b2aD&4_4Zg+&jzBnP+Z4d(41x4)&k_WzfaN!vP;i$9`TOGeYk0m0 z?w^hOL*o8N_>!t0}aOMlB?)DJcOtTgy!ix>I#?F_pYFEL;b zZ$d0stxlOkZ>Ol1guXp=ZCiTrkj)x2+C@nB#2vui@ncALtUai|Ib{39)d^_KIGNhF zqdAy#7Pq!GG3c^vPn+Fl4=EK=;l9Y9aL0A#kz8qSP#~P-W~3uQfpYdKHXU17TT8aO zvLzaO+0PfZ2l@Ws=jPosd;LpvAJtUS>T$d72y;5?hnPOv!sJ6rw-*g|*oQWmLng$l z7$H8r@;561!nIhm53(bllp`(Pg{YsBz;OAu44Rw0__~!vXBz<~WOUVNms~(T2=?s! z>IuVFHU99(`$9AStj`EPns1re_Rf#r9U>$yBkJ&ihX+Vi&&2&9I^mXep&#zjJdQE~0On*=byxQXqoB>8Vg3;%GDt5IsKO%xO?;gq`KIGHC@CXEDe8`_$ zyCEudFWebYuQ91wq1?hh#znb_2L9kp{n%ppcL>Nzo19X;<`3n!3SF+D_m?+Ru9=hP zY{6CYn7+HVE^s(aenneIWFLqYg;U(GxI|zoemv&laWAl5+4iy~g#-s@NzycF$alS} zBYyagCfwgmz1VcY0UR%t+iAuLg5m8tZ^oA>H=blSa!t_y@N*SbCK8uj>IPIf8ePGM zEufA0nUhhmK3p!mRarf*3S#T+QF|3#V7TW#r|WAQ_+4i7CBc&b4G$i^e}?X7Ozo$C zS4X=*<7|3++FM)bs5z+JhJ2ly! z`lwy?6J0pPPo21j%K+xhP4=>$b_B{G?Ng`FehSVDW_p>wZ#D{{IZDFh>7sYCjRxFv z50|Y0>{D+nNSZ;p{*KvG<_2V5ioB%I_*1|R+B!b->emfPx`^ub1(*Gk#O z1YS$q9u_g(F!C$&$sWcgU)x6U)HfJ_w@K! ztdaj=w|?Jkdx)O%d-}W+&AYtZ6U@P73_MM4uc#I5VZ@N$_n^N6;Jov5PLax!!ioXYSs~;%R>U$oY!^hnui`w5 z^DoY?LMEM`2RMl2oGDxvaJ_r>r{lsKq^r0-6tkW9=#F%`bVB5^6uS5Eb7c4I4e^KZ zgo^k~#9L~CHsNe&uRCo+lleUIEj;qJl``>O2xRP7;gY5CChHllZ`LN?c|~1NAMwBR zkC0OKYofpg_Gr9!i$y+s(Y}-fk0G=tm3B^K`KTUQH|My=Bk3(I0oU2Id4cB_-#L+W zx`FOzZt-(l5RLiW5s~Ib*4>FhWk!NA@;Q4p{Oi1z74qGh=3%5SAnWrD>4GMv>vqud z!rP1g8hV%htM9n(Q+zK}m}zhWp9#Ziy3Zt#;m#>AMLy|b{`+@+-hq5^#q?R~ALo(zvzX2fSG3oJ*FAW>^VK%vK{fJ$S-M}nQqE!z zLl0LQS=Q}9e<1W8b2kw#G95YeTGIu({C7vvJE1whUju})EK|_?ef<*yvpy6X-|5{Y zW)H^#+y=W%&Efi6dis0{0=C24sGx|~1f!kaZbL6`1Ki0X8kb*~Lc#8;5Isi+*b~Zp zep@y=Hw4Z8gW+am{eM5y5ouZI0HqS+FPqx_sgpuJ$OkVOh z^0#k|Thw4hzObEKrA_Ik!1}6YvLEep-?09;X&GP(n8iN9738CKCGxB4@C%fGArlcd zF6RN!o-JbvN6{WPKkW&FFWz9RvtI9u=ALSmKaJ!kxj}|gwX}7J6Y!VsTwiH(fzloQ zZw#t!;kO^Nwn>jJ`TOGew0Qm+o-cy?XXE~mxc?Ep-;eLF;q%$}{1M(?!{3ka`l$5T z_Iq1R|9MXeN^LSC_*nz()0W;(A_g$FMJ(aSSF{%=-w`1)h5VL!d$Sobh!D4hE<5xT z5z?4fTz{-_3{?73j#vBzJYuAqal=f5VQ6k;xv~J;hj`9ej#~D_^_ch;j^%@T^8Pu-JgD#JFYDBYPPA-XhI<)*fP`id*g)dV__k-N5^7 z0tno*TyMc& z_hJ7Z5Kadp%5prK9 zxDJi_LHdC+RF^OLkUz(K;)K=7K_^He6a_VZ_Cvn4yBt{y{6Rz||Df%gFc4=*0O#4xO!)yrAUK!<7RNXrA+!pnj$EIIS8AUmgeX@Y1$0)jA3QUy!`KQsG^$nie zz9YY!K<<{2DMwR42?V1pS38mE?R_icF3Z+p0TFPz8k zjXl`ba(VySK=~ORG-eOW-QWwMSnlF?J1DK;58t=y3a?K}eP}K7ga#%~8D1X>fad1x z`#A`Ajl>rxmdt_PhC!}GTp5B4;DtGt1-wvf&sVvG`lixfUaIpuk$GXb&T#KjIR%L0 z;wOD@WrO2kTz_VRtRW_e-q`J?72Ixd(k9$CBJ+~Oc`@VHSyr&RJ3E#S`A6+c(HAc< zCxW~c7mLuSAv{_eI(@Ot9QG@Pgn1X3KywCT^q@q!ELYq{{KOtzFwO4>mivzCHTQ<$ zx^t4S;V3DvIb{Lq@eJb}WpW_edZy)Dh%8t&&k~rc31BQgefVsGCHN7K)dslO1H=8j zg6;9naKXv4IHJcEpd4z2OPeytg3kfd|<4 z3S6|U^dz4Xo>P8KUkk(Gq(*}4uN-I4_Z{xIhW7lHNNMpcN$5Stxz67=--CRV$)&2m6q3@R&_;=2jB$@-9Y~p`3$WtF!C$)D|%6*#6cmn+UUs8N0KU9m&2T zep_i-0;(;^INH7=3=D#?_af{=$ZXjGr z8r`Go%?b{bH0nc-_)K=#xHtUvJeL)*1=WFn@ir(dr~2rZKg{$fJ}gCkD3HE3b6gGe zE#Ekw?Z52^kAzt}Dc>W!1}w!|7dybh`*^veeQspj;y5Pb=`T)S79ZT5`qbfHc*gk; z=fxVrf$c%+PN1ZGC8aXXN(8-SGx(pH9=0J^|2D?=Jm&-IL5aA*r!k)#P0oOYz-?^v7C1?)eZ~jz~`3@Un7UZ{a z;=>I(4+6~e8eO`J_9|9KPx_joI_VuvK^znE>l7)cKW1#@4RVC{twVF6uozJjCO6_m z)-zn+%zLRd>B+H@`7B7`AX) z$P|+GS(Yj1zRWL6V6*%f_)Qb_W&i3suKNj;>p^3=PVj}wJvyL;2q!nJaeuySLpOaQ(_Mc)qJ_!T}=fwwKNgyOQf3yx!UJ zf4^2D|M%Db`~?2@bNJsm_}@AB9}fP<1OMZJ|M9^8c;Fu%`0`+2w?3L56>YWJuJ_FW zW}^D}2dtf;fjdV$V!{Ak_1=)Gg% z*h0m#Z0@U30bu)EX-)|9g%sAT71Im;;PIgBPnkv#gxx;#R`5Uw$s2yB0+aaeAjKh`yR z=wi8T7(Do>o!KuQ1>NI&-WFRSpGl_gu4}WQzgWdIyGzf5Vd}_z&Ygbs?G^~=Ib_He%HjW5Sdl-ECBY^dy zJy>3lS-FrZ4c#gAoWbpSI$5+ zoM#K|h)^x`TISP#{(Q_1Q@$;AhKZdShpC@f11~Zn9OL%_{M@M0Tv(jb2|>fkG|>i} z_Aq_8z1Be13nbWc7zxAfKt)-Q8=m2X{gRxW5#u+9n7wgJQD4zs-=?87PhbQDZPs)6 z);fY{rb^@PPy*=8uhD%)eVw11Z$iF&u!Ajt@ziiS0Po8csi9y3t-RHfZ}XJ~z;-)bL*a)uSB-`0$}Lcw%q=MgCfI5{F&xoz13 z{AO#m%YC;8zgxRV*Y}dZgl%!`SGFtpb6KoH7Oo!N!1b#V#n9`+^EiIa>*J0vc*{_< zjUDx;8Q8`dkD*+Y41pVSUQUqpVVnBp29yit(|*b=R1>_$=X^hBI0Al7cHMepnvi}L z`w(zCOS>BRRH)utk^E)__Z07Gi3~_#tb`D~vl}O&Nr&+MDoGzYO0zlN)(T*8aWWa& zJFH=_@_68EsyN{1N`Hz-x%E^qsLo&JomxK$&qj=zWJixfK}k{I58oBpiet6cxl}aZ zNyrx#Z&O7mIsZA$K}82DSfczo)`?KS{miYOg!=c)D30FD5SpS}Z#+B`3|CB*dGvxK zfkTETvi6q%mKePI+th7yuvu^Uaqfv3ATdR*xe+NWRVJm!!c+ zB%HdKoJT^x4>9G#dw`?MNrI^~V&ro&5m2(vyIT$lAJJ!?*KvS`O8XhcBL`r5UoKa7 zfiawnsm|40&0|x7u($;!Ig)hAqld`PrYuJ z>OQnDhvO8-EsoPOViWo^ViJ&lH!6VkC#%UHOn~wsEiLsSV=``W9OHPx zaZ0Ul^hb}W!@uy1^B>NOO4X~0Q+c+KTCA7;;)p((H##0vM9k=!!MBB)`|Zdtq&=T8 zl~3D_%sZh%%}k7vu5f4OXT8{@58!-^^DNH4IKRr;(3mLpu#$BE*9BbfwyDXK4NZiS z^?@t@$u^r=lt0ESDzlNK3HSECIPRwJ1Y!-2{7qY2VcFC6k9#cvNF1M=)_2;1Y?#4_ zjj;`wxIQ~Yv1UuwGhE;Nr5JQwpDO)J|K27V$$n2l{_(v+`kjg4uq0fvM(9KSKyuse zQA?q{%)h$n__bl0sWBLEolUqVJ*}q|M%L*gp>%dX6@s8;GB%-ix^%li5=4~1j5(ca!){p$99NBNC05<2}| ztUe?EB)smy>z(%X*rgxn-9B~U#+3x*_eFP$BeMnR#DqVWi``G;!)HM}sKkKYji=%~ zj`gD4G1ZPl?R5f#+-A7{Mg~PF7`yK<)*Tk0#uH;QKKDdjnSp+_NdQ&qkPDg;e;>5VL)fQTP0K0E%7yygFXtwiEHki+UJ5pp6B zHqT|u$~+8&%v}>n9JYaQTzCsF^g6<5pQh@Q86(J@58Le(kNou-d9;?j>>%KUa8F6F zKbo^ip;B!{dqJISZHEd-ux#*i$OZZL-{K9`-nK0WE}OoQep`>~3u*=J%zX|(_4aOr z>J<{;=cc4mzrx5X1PWa9WAhem;b>`^*5v>%*s66j@Ov8COUUJP$^T)CsdQfJJrRcT zI^%cW6YUR#%L)|ljp%|vi!Dp_&P`n??Iuv2LH*?VA{O&kdT75dWr}G%S{Gu(EaMU= z#Gr=2*mE(M1FP}N{8I%4sHl1;|6xrP&5Jp4-_=nBZu#w{wGCQQlh*#tu6RJ!&G5KgZKEWj?6x z3yNR%e;HAtf~m|nzS~36aOBAK(L07F*k{fIcS@gX!=yUrn$GA6Y+}lGRlM2;$|E)W zD$kjLrjx#Js1WL_{mr4-@!%JWRfqvR>zLzH)YFBm^+TmkeQm*C%CquauL_KoUsUZN z0Jt#sI}Mnj_h)MVoh%CSAnzIFsMl)?dp2eI<4>59eIw>?)X65tL;$Dor%oMO0_bU# zz_Z|N(YRVSyF)WzSiuQ@7ofC2oQ`!QbxE5Vsjy>!& zGCLyBp{o+`*V`{J?@GT>SRS*C;>- zwme#{aw#k|J>u*jBl-#0l3oH>gRc{>FHmmUS1QB@#Rj4&=PZ6IHQ6w!wBBB7AB z_XNf!91elDmNn&0{t#*Va(HuRI5^3!K3$(T1m*z-kwT}n2H~9gj4rJM7=BJE=H!HvKA-_tQ+Zzq`rZAfQ z<+l7KJ23BpyCQA&5aDn{?Ovh@biChllY^cJS%z#@oZFp0riu7gZqC%J{-t4f~RD#_c4xIe3gTy%X_JfUxlZ z{vHLCi*xBS@#cml2#IZdxF6*k;kd|%Z@Oa5k7D}?7=O(DNWv& z!Fd+vUz}f;+7A;qnpH7e2XI}$^^R{(_U-Oaf3iN@J!U?onP3GG+%LXIWJv=ZD06I+ z-~)=$o6=?M>frmQfAIJ@c09j`V_3tST zM38m5*MV^`@p%BW5l>|W#0CEUboXa8&t?d8M(FCLp)u0Muy{ksV&>&-a2!#yXoF2rn%z&iB~?^(fs-E0oiiq4s)6 zVvi}gUcu{_^A58wXGDSk*RO`SeN}p$VX&h+&y!<+1i9|P>z!3*=WR#EoIt2&wCNkO z9r)g-Fj>8g=Bw39LZ23kq1;ca-^a3CLEx;YcPl@dKM5AsJo(!WrW8NMo<_OX*J)>5 z<|dJEi%ATlcdS3${M2T#YnI$S$o{EOxMf=?8{1E8pR66FmJsfhJI^W-_M16ms=8=Os#;_*J-`#P>5wZzZ zlAg-Wkj}U$nV_f%5{*Z4Y+s>!SpF0CfL0%1R{m3e{DvDe2x^sW|7j0OHb-gO(A+Z9 z+mE@57Y{ zy5hcNxGx93cZ%;-;B$j`UmUNK@Our8+d4A=gIx}h(5t#5y|F$79){L5J!D0>n_h1( z^6{7eBw9A!Q}qJqVal79bAne4_vYC%0zvQab}L3tN4PzdaN&;x`g2}fnJ>98n~}>b;1>*MUTc2$(4yMspU+W`yWqBX=l%B*2>Z1I?Q$q~sLQc)?R6 z2?hEfFW8pOAb!W%9@5HcMhML$n8?vO>@M#DJ1c4C>2BM?>93xr9v`%VVVbvsBh6a10UOc5~}Y@V%KhXUY0(B@|It*DTv;c z!tisYu&5ugRoo8>n3D|oHx;pqm8u66=j5^5;+mq0G76a5^B2-$wc>DR`pXvWHa0L` ze4$*`iSRE*Ut>&5f^_vA{NIrOg#L+LV*8KD!WI=@`Wz{gOZ2VAG~j4Bw5idDJWr9t zSe+}54$Z3pV-m%1Pk>5& zL~EVcyuV+s`PSoD;wfH7<$681)_hs{*e9$ZS%9=aad}9eK)CH1WtnMyDxxbo~yIux2`h!gAm4?tJZ{)YT zJZr-d0(3trvM5$uz>76q{E4R@${+oB{rO-3SQs|xbB&@o4fuoeRmeD^xmZ(o9?dg-$_V%WiRPluy&c-sC13#(!GxwjO(CHa72;z}|_SS2u43s2Ldy#E)WA;x2jyI=mhe;nEqnw=3?Ljh^ zZQyK`%RuusWf=T8_{2m_4h+46bZ?=$df2isbc{k1M7w4rOR`kSxW#dd;|a&D}rLX*Uklb>WAz;Agqm_)uCz)g~klRD>1PU=vB@b=&=hS z>*iC^9lIy!-@|p*`i{QS4>U)K>vYVVu7Ip+Ao#rzWca2LPS)K*8=wB%tVl>^tT($} z5)N8gclC6IE|B&4;gHn~YgQzKBa>;ile=>7Sxe(j^$;?*mR{G$|}lZtQo zlj|P5-ucFIuI+V@6ZE7eo7w4+;FMj);{&&yK;h5k{<~@xuy3~cT#=I-G)Igzd$l>k z*P&d(OFFdYklGZ^o8=D=@?Ddczo9&1k;{j8(EsNXm7JEX_P(%Ezq2zg)fWT|)%2!_ zesJaZxw@l6p%5n9nH=}kA4bpL;_OTcg>#|LmfiFI>955O7rwfAHw5hcOsIc+`lo(! zOuTpRx;XMJT-OTX;qky&KlNTRT?~dxTU^V$VC9wPQR#|OaVsPv{yQuL|Ynb4O`;z@*7o-o^mVQFKyyTqdt>`8A{ckC3dH>Mho9`* zL*(8$gVKpLl3J@12%gPvzVgK!63yuzNynml`kCmg4}O{c1ha}%tG%(w>o%%U*t0*yMrWbFW=F9^?pV$pJBKo zD>xkL+zb@oApbtw`1?9SyUf8$Y=n!c+y=G{Bw;JZt-w#!WOy&~WzX7oa&WrG5Y#iG zvIbE9L7Bflo?p@$*q*PZ^=-F=xVifq;nL_H-TpRLV;SXt_RICSpnHZ&c(tEv3<;uk z>St^A5rNep=U7F%BdmWD?zlumM{ZAE@u+};sGDYifhmZnF!t>N2&PO*h9BKdQ*XFfh1L;ad`yUr7* zg5}_9jle~babtLudJ%K07sA$^O@Ga4+k*8bfAh~S6IdEFmTV*$gM9z(D_E%m;mT)4XSiC+=8O-#pFZM49As^AJq+?;m zz(BaUbLBR`MsZXgPoph(yZ12W)M$`>NAIc2oB5!Z$J_r;stIPo~b^n>7PF@7&~C)Zd_KzCn|$We2_dOHOCajNr(( zfM-=oq2OZqK8n305)_-7-gTWg1$mce(hnUrg@i_vYc_B7;kuid`vcS;`f$5yE8iC_ zU~|~ba6Z=onERwU^$a^S2AC#)5Sf;5K(Fs!)wgrN6@fh*6j z>p>c1UgFuM_r@nT1gKWN6=UQ6Ae(-)XqY|(5)4uuwv~oLuGX*PPi6wZmyqYGc@yPu z+o#m(qI&+Zm{#Hdnh&6SFilll5e%`rAGg_}`GB;u7apkBX#n@Or!5s)zMxa~m2dba z+Ozy}-@ZaN2r?@@sMt_n&!M%kTC+I_L_31E_ADdcqEELvB)L((TuW`xAblvv!<$Q^ zuY93qtJ~g>l<1x5x$*MgLvt9+pCatIB?*g`w@hpj*vRKZ-{Fee+zU0#OlR#QZ=5xJ z)vwvg^pp#G!E&$n%{gTd$X7j7D#T4b-&}hvyNmsdfi+ri>reFa6&kI7=Iw@X<5Hn8 za`8X@G+nt_I}Aa-`tnqS9|3mO4{J%t6Ue!b6$+{E&ZE7197mPuuXeDa9E%*4F5;pE z39gyTHqfo>0oEnjq)j4{af;&>$Ek(nkId6jLMVT0#Vz!;Haz{L{;=tQ9pua~?|9*; zM8@0LWXS*%4G}bG{p2``1t2we+t7hNl%r5B_|!C52{xDQCNHA8I#sBfU5CsYs+*r4#8eqW z!D0+ofE4m!Vz1j%qG>|rop;YF>l3tXU@81h)`L34Cx87`aGu5a7w6ZK1(T-Gc~K14 z0bCbwy;~~VRxVD1d=3BVgRK08A(EmA2xy$LIISrS7gi55D;b-?9vcfwO>|$nPwU`6 z|G)s^+{}+&yJG^vcC_VG`?#T0Q0C5M16{!N4A(aiyM%O>%c}px74_4;y?uPO7~$=&zT>)o zOe&Ohz%0qcgm* zB04L^JAktzdi{9l0Ivt59k$RCAvx>%3Qu{5tf{5(jylwzPQ5-`WCQm$`SOQJo4 z@uU;&W@xXFW`;U?QPc$W5A}sc-5h}Pt@%|}SJeMJf06Yyg*|+a%MO^mYYDHIl)ooq`W`(~NGHT*xa-aDS^|9t}&LP^L<|{kre#zAiQh2Ca)>4C4m3^Sq zCU~gd2=z&<+^dPR=-%{i?Sl7fZ?EAV%Y;4Y11!VLVae1rkc5as0aCVsqJD$%zB9L)c5td zWtj``wFY*M7bCMUY5JdEXq+KS_-E(Im*_rdY&T=~l-Tj5{+s$r>;zr~B z?*+?DZ*rXEdGoxiMEWrMKMX2v7j^|~Yo*mk5#`P6=g$H&4bZ)sA$^^QAw=D>5tX1s z^U;}U^AB-q;AZ@}G2)L4EbB;g67-$Oy6oNC^9aH{;jrPT8c?~^J+w?s>RfY5=KFr(LxgB(auH5nfadhW7xI)vX_yFnuS(^9W^>Tw% zu`>hbE`@_QufXo%sxVLpYJKVXUIIe%+6?rfU7;h#-z^c{LC(DLb<}h>hXp&E2i$0$ zuyy88@7yT@w&9QR8B*WbXF3djvx3F5C8(UEe140`3wAHPcW`6$fjs3bN|sFI z(;Z!PGgH?AQuKG6>Os6Y1M|0s#U)9=PW^FkbKM+m89P8k)%(I3#LuiwkEp3Q z{2%@lLqN_?5_n#~=;)}QiI9cYfenA-Qy z6g_XmX;p+jxEl=Ws?;yo&>ldi>WF=jiXHR_1;1Fgb0WuyPc^5>BHHtdu2$!*qdkH9 zIq5@MXb;L4_|ocaI}xsyrrclaA&}#H*WyV+2$~yZ>a^vTq&b7iqXGZd=w1`Uq`q^` zy2D8lFATpMiLT z|MHEy+F#l~*9-Pfoln00g$Qp?!Jd!C=($tw;Zu(|dx&TWlWe2)f{VX2?l&zXe>u$7 z!26y%IdAbi#`6i!(;6enGiA~4|C7&n{ln`b5A#QZ{+;e1nfXpTVH4?G{Hq&FR|d`Y zWx2vbX66YIHD}Pbu#^=iT9fNePTZ}abKEwdy2$vEN6?(CM~By0y#C_#Rpn7GYr~6^ zWE{Y80mr+s9<^%Or_N-2Sjnhgd!dB(6qf8-4WBI_{cUK%k!X7$(Ztez9dT!bO zKfXUW?#?e9&UHld!n9{cvt`g+Ws2vDOgWU0@p;$Lh{IH9j{mb$nz;k{n&J44<32~? z+-P!yKS)<9aoS(uMa1iMM<#rR7m3z z(m&R%R2O`Kp5JtsY`os0yUqGBs$F?%cE|_7{Ej`p2e2!9Gq!FTllv9CkBP4(vL!{4 z0LQO;r8j1>7LlG-cJQfdeBtE22k&>z4S(<1Z)ykM@-S@kC(6gak>^=7{*g=?O?U!ZI+6@9bA#%(p=O+xOr*wr!?{-!13Q* zs3Esk-U)`^r!Jk3a3=r!1$&idzr7Q@J0L0D)qWaFB3S)Q9k7LO3g?S{Uq^mP2dmYJ zkzbjx%a*Aj;t#=CiuR_N4Z;`ZnFmVhU|nXp35qtbt?_Fs4WlCzH#A2CD7XOlq*t?D zbOMbZnI{5I+QB{ol=|cg6L~aD5K^{uKY7aQ+~^AIImv`11{(zaQJuq;@(v!k^pc1bpj}Udi&RRuGz# zoH-eGL&97i4rZ{ul>Cfzvc5@kd`0sL%hNv;S2YO0AeK<|%aZ`Nx^8Jj?k2z&KLcBf z5fXN;;{ESgr00#t&34D~h(bX(2;=)+cOeJy;Xjuzzuk#^i8va zSTx7D6E%?UE(5)$b)7j#ccxWX9<>Fr_M0&kF9_i3eDc+w-%fD#Ufmf%U1x~o<^gpt zB9x7Y67QH3pz^W!)twejAZ@GWX@1cSh7)p9BR8BNEhgrdO@IyD{XR95qlN0;Lf`K9 z4_!dvZ^1DgUk@<(wwI{`?Nw(R8yQ8!J>WZ&Rp_@?cNlvvMKn9;33=i^7O{`eK3THo z;O%ZVXt_->agxdzNbrog51)kkJ6CXPp_IPriu@b@ zz3%3npadz@hdnXWcgSRO2S!u7@u^m4$ds4Yv=l&dTCb$D)dMcTrpu~ocbo_hUEKA`cbZ-j1ol9r91MZX~GX!4fE);k#F;X;!ffAayDq1Ylt=pMf1T@=0~^D@BL-p z)9Yxf3GG5bY60@r;O>-iRSM~l8*FlzYejpK>%tBz<&Rpjx{yNXUH7&5sY2V_)?Dn3 z`uN+})fHtNE(m;Fdb&pT&gIq^H!P zI~O)qj`YG~7;o(RZiAjXq5>RhQQeF%Phc29y6~^}v9E|afLZTNngUc$@Hi}#&r9-!p~>-9lo5j2D6i^=L+{Aepi1so0c?@Tz5Q=A1=M0Xh+VY%}!?e z{!s_;+u?ob>mC@qEJbZQ$I(&y^X%|Ku}X|M0r_srk{XZ!1X06XW^t8>gTt3W0x7xa|MrXFd;_Tj$C&h?DCz_`l6u)A$>vaW(~09P(*1k> zq49pQzAY&4FrrV%wSpV&@rIAip!=iwVS~9P7trRJvk*o)=s2F?_?DDWzUSIWbRY14 z@bB_|-aA>p>_Pd8kaYF|gzMRDC&W4|AuTk6ngZ$Z;<#DKy>O#1N_nlO)#M7}1&gb?B&7f6wLxqUb%wnjWBN7?h~LA|TjEn*fZ=__ zh<&@|J;W=Gn0{3EB*+zI769TC;cDf z*MavdcpvjetIlki0_iLL!!PMW>B{d=oJ>4S_;5klkKFg*{mx`=n^Xcn@^hdP!dx0q zzu7Kp#fo&}9>2eqZHD&q&t^W)oX87?=AaaV>(xQ2hbRukYc^dWpnuq}p_t1LMCx}% z+<%RD#3xw(&Lf>19RG!#ZMSI~2Z6~w)7b;tBgj90w((}C-j86QEi0gvSxUiNhbk|+ z{z5(uUa>ZoheDt%Ma%X|S0I!h%*{F&9ROk%E7Rx%1Hk26S+A(t35I{QnuPP_ToXGD>wA^^#*EV-};kb>LBi02fqCWh{bufqX76J+GQ|=IM6X`3K z=>@H(0mB^r0YJDqUm4*T042v-sGU@hKjS}tTHJpP_ZPwSvvGY$T>l9Fp78rMoS%*J zkMR8(K0m_yBS&ibx2Hb_!i9cTp8y}k(|P7y(S!6u>s%@Ob&#KWx0lbQhaH|UAOA$~ zGQ!!?%ef4lUxQ%(bl&!G6<^R#T*%sP;)1E(Wm}&4>IQh+Z0NdqaQKF!`z5wpm+8Gg zm1H}98|lRClUUO_u0wVcBfpb}&kUv?`{k8#A-&A@l)C6ZKgfGIvvF$GA6AT??=@}pgy>+2(jcnbRJBE9iFlf(X@O}=o`=on8hBLV97 zS7AqsNgx{_s<&;AJDk6kr;~(y@9@{f$@!$Id53|L#N!dOOjn?|@!Kp#iU6&;7eX&m z*ns~%sw=mUk|YzQRsBejC7fU5l6L1ueHiu3nJ&cVrdBqaeV^-3j+250;zUI_5f<-6 zS2VmvcSrf5JFi)z`@yBNcUCqmA-Z*-ta zaXon{7tI^+xMHn8ZYKXO4on)}Jr%AYfgIN+V=$j5y65_8xOy4Yy#r+{4pb!M?-ZWs ztLY7Ul!v+727N(wY@vFk(i8Yw1Sd2) zKa2pT&_$38hj3@96Hr(oZgnV;Y+V6ddcO=&(4>nzakd7cYQXl?6 zBNy=r&TFohdz=E@k4_(pFNc6mu-o|;Od$~Xv_t?-5y`9$qG%v$>9;wh+CpPb_*1p-6C@!Z?!ZbnYQVXKtS z8TM4&>Un5p54mN%HYI2uhR2ENl>JOnAwGxM^UBTtrw1N35 z`uk;W(-S-BL#{j0{8<^2HxN(rUmhh~)cp2M-wnR89ZL?lMMC{-Q<9w^@@a}zd#5l! zBIhZdw|JiN3jC3L;b;c|X@@6oQXoHC^@LZ?wMfuOGi>t->9*qe79DGI%I_u#fR>Ja zySNkND{YUYNA;tp(xy*Jo(TN*uicL;kl<$NtLCkCPdJq^JX4E&uJOFZ^BB)3Jm2Po zbZ*D`d;U*8gEC?e3$uO zUA7_Dolv_Mi|vOk;NhBHdB_fZ^nd<;eg=4*#p^F#Uo%=vtX;b`$vA-H0*-eFNj{`* zq_>6RgKPFJ+xzJG={*fila;y!Bo4h;TS>G5ZN}$MlF+^31G@SCn@r|#d}VtnH^M2t zd5&}mc~eL`ZgD!R)edkx!|~0i(7r8wRPBH8&qAk@-xv}9?l4H2D7_Dc(KyDg=gof5 zIhmz*3i*!XxH-o@z3}j3DBw67G<+fXj_WBhPFFik-YnZ01Qk0OsS|ZV$hb?}`0ALj zYzTzJJbv+~!V^k%>wb{(yGX`o+m2^iD?bC_P*mXRENuwj_>SX#38llrQd*cgEM`_u3KBTs@%DsN(?<{HU1!!~{D7fg}1uNQ@J_&p%q1yXXl% zw9i)rz#X(dE`1)Hwg$#RzY9A}oM1=AZ80eh0=#h-(Kud%_|VJuM*9j5VP(pj^f&8| zLJ^a3Wl_Hy^8ae6D>HG0Qfs@fOHDqYOW~hJd(jJ)x@7BIwcN;kN6ol%`Xy=Pa~}QX zeKdNW$NK`)>WOm$whm*@&&tSj+CzRvL2i1N!FS$p88KU;jj(H=fe zU$rc_YeV*@#r@ZCe-T_i8`p=#zYqMrAHQG2`Pn%C2;Z;a^CP@JB6XPf`g?ewIRGN| zDx1Ub+Enk!`>6k8mDXTD`&U}lP6jxK`hyF)cRBBPL-}#@E>>eA)V1weZRd}`Vj{OM zaIUxj9ygZ<1-2bQea(S|oyRLseU7S)Byv?c!@WDHuN~ryG4@8*$|0(AnA5HVl|i&` zN>w`Ro{97d8J=^gzk25lkBYf}bx!-jvi!pz8j{EdRiHGhdcqy9#ihrIXn2E<<`32c zQ-7d1do%D{8PeBF%4n%r#H4&#iE(bu*wqu)oL2ls0^-hVX>kY@Z zk1?oAdBVBy+<`$)FZgXMQ6kFa0~-Z=1#3ypFnyxbr1NqBEVXB7W?A}^Usu)ban$!G z@+bRK`NXY(1g2Cp*VT|uqD1E#m$1+fptI6m8ki4+OQ+VNyduzZ2W@v&8{#?n^ZV8$ zx*I~L$+qaXNdEwj6N~o;rRvosApS#@PII_7jNFOvuHkiseMgcl*B+`unCKO%=2&eQ zujXoW7jlMAWuh(jUL1v*x$BW}XdY@C&ULCY-IyF#<+rYM3!U-@Y&(C{Jiiqf@g>AF zI2psC=u)0?87=s=|BL&Yw;LQeXw6S&hV;6x|9m3*%pQJq_$>`kBOmWjE0bF+9>9HT z=-Cyde_i_R#F1PHe;AvmixWK*1dM}SHS()$*zJK|pAzmm!Y(z2iX#d(@K>7T!u1~E z%*qu)oh$Oit??(Npndq`!qYDtp8mHk>>w7LX!bh>q5bknzjS`9WIYv>9IZ$Eq?@d# zq7PYu$mepAb2p92b%}~k^N_KF2fU5w$#89OL4Hty6Jbct{QHLFi^Ksmzl|HFIF06i zjGC|80)~hXo_p(w`C7|cXsG>|ECDdPfsjvqRJ3!8gb}}WJ2kcs3e>+xY z2{~3b^{xy298#CBev)c9*>jHue4^)A>U7u z)A?k%EO+o{Uwn4@B@uQ#MCyZk(4JKQ+wYDF>a*m;7-rG;f!CcMLiSU?%Pq-yB$r5ebN^lR zJiGIYFf*#}kR_Qz+mE z3i+|`0v|e)^KHJWrZn+FAV?lexqZbG`Mm%A6!}QV9=b_k@-h#cphIxSIMKob*3>?9 z(OVILdT1qzvdE2`w|E}o`Gn``*>$&Bz8t=S7mr=z@uswp4ogRoXxV(j9Hux1oNYc zZX%|BP+GwA_wXwZaLkn{?^*DM#0U1D?6N~3Mpo6svIOmY|KS;qZ|PCDKKkv^{2%;t zA04>ojP40rc#E3lzj}l9-4dgEG^bG|Jvq!zjd;5MaI=kIF!q+p6>yvl*~&To3+>l% zoUVDYvUlLI8_XoijJ#U)BjfJ9efd!p$iJXsQe1925bgW#-JMW~L0 zHvBkoaKRIBe8+KrmTzae{|ofoIvRBRSAjRoxeL-1Soy*^_QWRcU5FP;)86v6wgSWZ zhykB5$tiT7B&oJ}c(ltAc>7{BL;u>s!w1iLPrk5+y$vvO@!=j+9K1_IR&Kr!K ztjce5BHkla;D%d;VAv=C(+EEcUO&R7 zpZG?=QvD2FAw@K>G(T_rb1xF4hq50s1xA3w{(3qa({SKS-!whxOThRW>UVA`dteW# zeQGRA4`Ifpt9%CbE?DQ+A)liamRNsF>f77Zw%Et3WeWUkHlVf2umT9w{rLSF&d^WmmtjZbpC`gD6Lh0^$w! zj=37LYGZp@w%jVik?%cQcHR+Zb(lVszuUhBuxxbnaT3zDUWZ*$0> z>>i`^*jONTXYml_tfC-7m1;$#&(4N`$^X)10`wrK5 zU3wJ_GYi7grpf$plHKQQI=uptXQyeJTy#%^;)`zfya;Q5cKsIQ-XhHUu_?X}`)N{rni|x@zeNb;GBs zWmU~U)uVels~qtu-iwdQBQbQm?j#P*Oe8MZ0G>yA-orH%4rcILI6*!xp9tUj#`i0s=bIv7yHx%qnVtCz&$bF}6-b=u)m#&3+hT|LaBTtvl4afcm|0-V$>k3YW!Tk5u^b3&@ z5Zg9M)AS@90xo=`JrjrSoc`e^d*MEV^Y>2yjH6mSmLhyJM@`E|CZz|N0!Ij*v;C+nHI`Lg-b{OFJ zwH{=1p`;@mCfFQh2GD#M?|blm$JPJpC9ZxC_!QUd6M&wtqc2jg+h`*H@Sc}W$xR{P zY#B1Le;xVGR6k))A%vm(zL`ooWiO~Br4BcLtss>snV=97$hb)>*A6B z!r1Z7ZA@E4*nN`!iP0lV=oye=RAvhSWgE&>M-d08OcE-+fS#jzeYyXBNBbHa|I5oV z0~XL;<^H97RyFPa>Q6@PZKC*569if-&)n*N24iWrM-uDMTy?^ea{`P8L+;8-IqoGiYs@nnkTBI*<_K72A5r1^={dyhA0)f*ueXafX5AKPvm%UbU4HZas>TCynm+kNz5?IAFeN-?aMgq1L4Ltxw=fD z7=f)X!V2jY4ZU#)6R~oHuQneA^pVe-_AV*KgIuam^5Cjh)DoK8Yrf~Wa?cI;Ny^Is z?@T}-{$RALl`6JGd28Q;8BOd{_g2IvoiDgr@oZmcSAg%|^j)KkoG{1AMn-BnWgsj_ zeq>AcgS$>UmOk5fL%wu~kPh-Qs(f`}g-!_d`}D!ytb!g;uemF>UIFp86N~#h!ouMA z-5^^9v`3?G?4pSh^MIR&b!Ah~JWce*?1=E3CM5G7fV@M2Af**R@mS0hzMM(tpnE|i zziv>KE3&;L5~yaq4|msDgJIO0j6=-_ur_y9vB9S%*srUm6NhDwf{S%cEz1*I?CVFq zg3pqO2d=EPD>Ts+PUX|E?Q*aJW=_1%e%#sK(XAm`qu5d`}}rX-y!-GIwi zz`gPZnxjeX%BL>(15p#>>|VnJXxc|_dD%M-KJ_JveiJkVJ#kW0ew-(SZ^(voqB*KS zC!?hEZZ%l=a2w&2Ke#m~D4z(7fkn5T?NnXinjJeKZ}-2ZklLvvvf)p+HT=-FaTHkP|}G8$v*vw{iCMeRSV@quz>bS0H=|FrK*|jdbalHqJyz zMZ(it6zkGVpJA5=1@rl3grNUmR0NaYs9eG7FDAY^#KK#`X@c1rS9xl4hpah(>yS$4; z0^o#*c<(W)5E$%fE-p+606MzzpAm6hz!;>XB(f9$<*nCR?DI(Ey5n*Cv0s1;@~`=q zN3Y{gSc{0e!5-Cx_;n^J(WdYHiZuFM ztz$Ar7jAiw>xQ_va2E5pGrWjd_(69-5{_VJaw zb3{b)fAG(ix7y6i%pc}Y7v-1D2Ey1eg>NU(-4o#rl!Xl-ow$FvSs*X^v;aMC;5b{$ zI6Rn5MECjsaQauw;ak@!1HjzH-sph};#dE}UFxKLC7x%IE+6B4^!r^q5 zjL#yDncCOtNwDWBbDTA*A2`0_xc~IhF8*(bKb`r$yMZn`2=0|XUA(XB2Ybs)GG=T; zVKv8nY{McG!~2M(a<}S4A+!hAXgm0pDhNDkK7S}@3xK36oPTtY53%^}sXZMCALf!( z9|dh99*(}?Qv*6za=(K2F{yL6OsC!j1CC#HG+K0R*1>T7p#au66-VxS@P22NMmzaC zgEKfTUk@HY@qAnQ^ivPSCu*Gh{MJFq8Ft1BpRGsphJf8&D-&oRHRfhtP0vJt-KP#7 zP(?g?XAKJz{Zp>+$0tu@HUsUmrka|f7#!gdrWz|qg?zy-1T7Fz{h3|%CaPTZg|e#Q zbNcBXV7obPGR}kQlxZoCGvbfn_+M0$FZOrQ4_qZXPaFvT@4ed&(L%Q*T@viLlXEyD zBL;&-xo~2XFYpm_>`GAmeWpe&mB8l%EpyZJ8;{ZZXr4LpsT{p;;!zXR&J%EhvO#D$ z*#hn=QmkkdJAu07AEUxWk1@ zJM0O1;riLQJ|wPxgx~k$_iH#m8|NS4`!#%ig!f0owG#>}R}qix z!gb$I2MD0WO)nA?OM+WMXYTBBaDk(0qJNfKO|h4iy`C?dodJ&<{g}WV&PW$%sdE3q z$0KNOE8*8!isE62UuED5mnBej`UHqiox+Tz?h+Q>S%J04_PSjuB*=^Lxn6|$Kt@+N z@>~50aD!GsN#hramsy_QlMTp6FTImJ3i+|#BZLmgop6MG*4S9@2Rpc35_MzuF65^u zZzLS|&Ywv~ zz-5Yo3u*-y=1FaE z`KvT|>~e zcSRxmS9|$Q$ZM_kn`@X}JDc{+8(f8R}?&Bwcc(^)BRn*pIpm10)&RPfYlw~!X zlaX3@qa9)NWzO5n@>USBsXaE(Z9uL|lQm|yC>eaflmGf@ z5cGkW(mBWOpa57Fxb@&Fg)f}2NIVrh>ILcN+^wS!?`6SB`Ee!U$qVSn)k&b|JnKS! z(Y6$Sq&GeF!6XIk3uq2SUYsz7^JU+~7evq=_MspBj?2hzN|PAE9pMXv?annU72dF} z{$}nBszYYFTzgJd`UB0TFlQCI(|P@Ag6X#z@()xJ*SwDI#-_c^DVD7RLHw|Cuq(O; z=_Bo~wz^^gxmLBR+x9w#ACC0){y&}0Nm?53At&;;Mj9xjtl7+i7nJs znD|+dVy&=x$kJl&d6;-+`QOaptmKCl)XZxRkQL(9#lIOxcNW*)-z!%7?Fd_zB$FgJ0y%H-JjU}0&(rDVr9?G! zKmUL88LxkMU3~raEAM;6Be9Sd>TP{)MXnot{GXW2YKg!j`<&y%GZ(lrw!!@i?N9K! z;~KS}x0R9ret`}C)Lf{3|EtG%oyF@fUSHq&$WRq>=#X&$#|0ekZf6E&?MO%a(|`Ct z(s-g1Hfj$abT@auyJ!SK2837L4+!AgD!R;!>IJp;DHDG-YiQZ({-&Mg0O!iqeIG11 zK)#UZzRwhPWIV(1E%xK1on!qf|AT)Cmi(h`cf4SSr?sTcFZBGF!=3Tl0`WghD89rw zxRY^{>7{ug4eDoboV5?{H=9LzVK`1_jM#G~AuggBX~moOzCRgvn{AUUYIh-ioYHl! zwgeAoXDA8kk~&Yu=NA>l-*zJ3L7fEtxu)$%PwpSS*8Xl;J_Q|92&lgXoI6)#;u6&X& z5n>_ry%xGV(sp}w_#w43RB7?&$LLs+`xU&8(Or9F;=jWOaQvEDr=u}-2!KgRJJN|= z!Q{RN?{{vFJXG64e-F7^ESaID0GpAd_gTnyd>j47^{++h*z2+~?%D}U;O0y_m%gY2 zYt!z-Lm}#*^-w=fDv^NsT;OX}7CMIA>tOLaNxK8H_5ajdw%-$rUZG4jHnhh4ML!HJ zd-_9w%%tisTRv#Z|9waQY9Pe0Yb{&6u!5V>@Ag#fC6N0L8(9y&#M{1Lt6=r)&R%^C z?+Y$$UmfQ(Fo4=jyV0b+3z&qrmVN5@h){uB`nK`85G^-vN4x{vqD zYfO1S$b{gqK};C*+_`&H%Onv@wSw#ek?x7K5|ibUX(Zyer6>J)6$KxY`3?nrNrG=S zpI%XoBR(W;=Tc4`y6;}9S2Wm;p3mCORTa%^z<4aT5ethl`F;Jm(a&sR;0=K*QE4WM z0l-MR7^itC0O{Rs8q^@3yV4CNQ6r=?eW6@qQd-&=fG!6z)4mnHUdrg=}M&PXvl8a z@5k@gaDFzN>IcVFm;!WwWTD&}DHMu@iBH6yjxNT|9a&bqbnqlJ zC+uu&tPO#_wH~@sgg2Hev6?&8qhNl|_spAZ$Kj$2o$=+@Uf@%4ZtP5LC~Ta6aO|vP zJTQc{T#7b~hqxM&c=T-#2+#^^;n#@*)6;g>BmbO+GvZ>L##6CCXF)Yzut5OBuEGx? zLc!>6lJ9-aQaEJHE-=Z527v8IReCbo!@M1jp5Mw1LwuR&@3!j7pm|^*`2(m;=4|{4V zVX~3-&)NK~$Z?|SsIp7L)*WNa?N9i5G6<>)+t+waEPzpL#lRv{6Qkp7p{V9RhIAgT zblvt)f{&Y3ua3}aVyPne0Axk5q6biml;;(345B%b)Nm@f**qOYz60bU{C6= z6)7~jV5dt_V#%&%Ya0@B5D=aq#!`I(d$-~d`8}He62GZdazso~9;ay0C(2=R zN3ZCejsRdO5KgJMql-O%Xh`G2s|F2MRrmH@42QslgVsON0)Z6xm)acZoZ@jJ@Ql;4 zGW|3>soyqK6N&BzDB^}y&|I-=n3r0DCm59F39*ayLFD+3`uv>hkqy#AhF@oneV4(w zbhdMQ4}X8y^I}f-k(49ckG-lN({~K*`+w|j+Ej+C8Ke+vq6N9`WC;ya>NZJYcpeq~ zQ4*y2?EvB$Ofo%V=)Q4Y%C2}{AZTB*jT+brAm=Hbw|JiZN#*H1gnZ94#+Vho{pB$? z@i%vf2wx^C7dTzr9mx5%ynHz664JHWJF8S9U783wrtue#?b3jg{3CRH^8{Fm<|5R7 zaDnK0io=awW?*>bJd4RTS90Fsd5q^1o~P-d!3Bcox$ghwGhYAjx@aS4MOl2>5r!{` z4bKEfk?V%m_l|PM_(0IPW=@Ir!iVP*Bgu6qyXo16!FU5oBuqWYvWTp(ee#roWV<>V$I@l_oepJ_9#SbO7~ zK;ib%2ixnmfa5!k`?q+h^Y< zN4%XGEP&Ul@JZ0jLa2xv3yfSZ=hkGwcvnmG|)$xUqEYKT1A+qK_5-(D30lT_XU0}0_^FI(StX*dc#Qwge)K19Hc zbPCqp!@s{bJq0W;&R*YUuMXW)t-FL@Iznvc ziTt-gp2$!BPsDS2GZ^$eYjGFpFJ$&ripJhWy0NT1)}u*&z`bYj)twz4$d|qHq2U)a zXZSmJl=-6`%!+c}eJo`Kc)ud){9)5-CKQAtWWGri1jAHT?swA7lQ2EDVdlhy?qItZ z8zotZP*8A%`*U+7(6L5vTsss7dl&9p&`cnL>S&$ukpSd-7Jt^X_*FP0O3Cc^Up9lS z4)1%}XWT)ZATGj;_-qN^ZdGlWyO94~+qC)Gy9@7h7MrEVnD)Nz(#&IQ1OO>XE+jzqm?=<(4aOS6kEX&_TK|Pb*BQ4myL)6AEEbM|VhY zH(c*O;|Bhl8=s>z{9(wwkb)XL&z_v5osvO%sJhz6FE20z!dC_*k-tN}@b_=(>4Xa; zkm$)KmEOU$8ttg$!q9<}em!_K) z%h+yw`r<4R8tW8nCNx|?`JG%<<0D~gJ!Yz4+))9p$(6Py9khp-?F-qK%KNaxUq@)H zx4Xat&p|ykJxy|4rIpif4Voie{@P&4q!I(L;l3+g?WYCWHXTor#Z@6_eEFGsI@(YA z-LJFFH-}y2J|EJHY{4$jyu)iR`W#P}N=}5iL&5LwJKeY0!~1mW(s7Y!D7nE=b$2Nq zX0h4Go0|fdN4N$(l>*wUxAZC>YO#gG7IP}$dyThISDDVh}y`iUF^A1G7LZJt{KyVb$2Y9BlAU`(``{rXG`afx(9>=UZ`V@Cww9@{&|w%r~+ z-E2{NSY}R+@A?BKgaP#YVoAN&Gk)F#>2LGa{V62EnY^CD{4ozG`897o5n~3y0+TtABa4lr9@IWPo_%$JOKq?)kvDJ@baUjT4+-vaQoB zLi+sw@)XZoJWnTP6uT}g>Vj$iHSvTJV>qHF@1f)93+!hnWisy>lk+W!&)3VE+7G%z zngrBeJAkb*BZs({9ZVc;n%V7Q3f`9NAy3jg!D&VI>E%guA5bRwXA9{B;dzVaF`iF& zp7vUW6s>N#|4%;S^$)L$`^y6;H__ghhDKHDNV^reZmf#)O;9@!;cD}eY8=`-q|8i~ zIv~CUUUzaWb~JgX`aswI7`6}Z1IhImud{gl#p^5Uu6rV%O%=#Efa3y=caekd_~!$n z$oQa1`Rz!VpcByQb$q$kX#y3EF=d~9y+FTnTdw*CZ>Wq&i-_wb!bZfljp0KsaGhWq zSMN!LlDuOP$M{{yc!uNK)eo#MIyrRz2mgvIA9_XwN5aKsJ?tLB`FC%?ueKh-Zr9Y==>thyH2|8K<4JmN#})MJU;J^QK0^_@*LgZP#f}3`q!`Eea!K6Zs~ecq&NN#zq$*DC(a*@ zgU}m?|CS=1e!TC&`yG)_)vEf;Xm3U+srtIl8$vJ9>)(7#f-8Mz-wSG^{m6rfryXK} zkQ{Q8cH5l*ptn7Ej-Am3>V1MdxDGVtNIe9MXe${mpidY5?4vB|-MOGbGRtz1UC=g!VFCD#LdkWc+X6vsL~^)Em0< zW7a4U&j9a77N&HmdRqJ;vZ#(BQ#K6qq1};Fr{M|a30LfQn2=z~c$w2+&<8B&MhA_b zd4hc1kpf1fyQW>MzvvfXf}IeLIP>V2Hm1n_+2UP>33Tz?bvDm807lQ>hqmr&K-*u7 zogapdV-5TQ`zfv?p1||1gm`pkE@Gr$cp1%u++4$lTErb;d(6le!@myX_a*kN_|f;5 zwov|ayJ*ZyQ@~oX_Ar}h0L!%NeO_OC$g^y{T+EI3cyVX1zjXD4efmEX-B-MT<82JO zeQ}4!9;_GUkuLOrb=~_g#E;>bobx}1^s|gEP&~KMmBFrPl^@|YLO6*rPX9+22md~B ze_Gss4fhwp^|Nt(NL>F2zwgKI*U0?rfBYkSzlP6`@cxKiI%!c^2l`g>s>$l@=16s{oFv>NDT|8IcztOV+`W6&xBc!|L=Vx zNsZqP9!RhFigM=xgxh&D8#+fl!K>zSt(L4iFx`2{EO5jFc5#I7T9!iod?sHU36UPq zG+1&XAN6TL8^bRQ(BC2ZOM=-5`n^QekD|7%-tao-^rb>qq@zpOwDAVT1^&8=P9x!+ zVj;lxlf$QJ!y0np%WMMeHDL2jbG}Z;=Z9~y#!pr6F$A0S^1{8(|8X>p2=fP0 zkJO&G2iD(j62E36KjMFJ^14HrGsFhPUv$&2_+?ZF{F)T^pu1uoN?~hCIuo$@=JEJk zmjP67xBqeSvp3x0QGcxXKnoJ&u8o}TbAycByhN3k1ae&cei*e|xakz!Jkmpv!QcxY z3Ias#(W1|*r>X96$_3c_=iPR{_JlXw@q&fO|5T&D^7-E1dX-ylfpIL z5dP(38@qxB(C#W$^NvE#Aw9_W<9#H&>G-N_)2$3Ml~R~fsm5KdAIAF8+`Aqsxm?MS6G79jLLT8SMkwNcr6I|a~Nrg*m5|4FLMy7 zssix@r$Fm+-; z`k;^Pm6nmNS?Z#^NllmraGNp2t(#lGNsiiAo>HcO$M?^Y`(O1&jX}L~ZT!I<^!z|I zNVNQo?mnk^0{|;+n$W0SkF4;VchRqU-Wz3uj&N9Edq`$Z#DsxxVeia z7W%uqNR)97FuY}3;7knGr+;`m;yS`|li3b( zKX{(f3@`oFYN147RTeKWjlUHs*&`2Xl%yTpj0+nPIYunTn6Vn0^BTk`+ccS83=FVntd9`k~k zif`T=ZrI01l*zpr?>}cRQog^2?@@pI?{IjnZ~+l@goe^1vA@yYU_W2OA76y~X3X2- zn{yoD+szw+49c#+<(Ajpr(zHMU2E|Iqpl$BTX$)Hj|I72A?lcwa}hb)xA*{|UnfTV zXDY3H;LcM0X?yMva@|AJJFMvzizVTDsK5C_;fSm$A~6*vn081&gN9wloSH2aw9N zR44W^wBk7|qAnPH^X0mOTp)1o&3_fD-we3Pz#NZ#cuu$Qn+<*T1djgKdrGQteWJ)rp8x z?DiIm#58n9_LlMayFuvt4gJUG)ZLL>*jgV;S^$dY87`M-^+6Q{COqQ||K01TG1+Rw zEgGN^jfAQQFIyCEkWurLHX5OiES8*7afrz>H2ZvN06Mc9=%a*uK$2m%SKp4aQ1j@R zVW77YI_Rx-Tv1#PX+-V2a0UCZ(7>@v4ts2ozv!|~6)6R+uP0e%ZHh*{I+xa+%w5&SS*| z1+A@1tz3yh)6K2ME=Ob0rU*03+f0$@j!@w4Se9rMu_UcJyekfEp~z-UG~SOM-M{(9 z>rEi~G{dvDVIGKf1RDNgd>nzOHbfGgsgn@>y?l03Hwn4uMQgfAC!t#Tc|FamvEbLVR)<uPY&DT#e3MF2S1by6FUZx%=!bq!UHHKv>y4_6 zq=aN^>`__e1{&uHKxf7Dmah$w&~K@TH>d5~(5)mjkvst(^0`Vry*O8vDS)&o7mj=V zvcUT@pA|@YI>`2XC+U!xGW1%REHEvdMZv|Q`?MtOk^ZiAY zwW-b`^Zw)*d1)^+Y;JoksZt3Y3%p_ROk_9Y%UH$P#O;KG0@j;$n1v#6o<75le=o7i zi*%2!_@jfeakY4n8*w#%{+o{P5%$psUl#v*hRh4%+^Q?$n^d7}X4_BDQ%C3L8NbV{ z+Mu09#$$@SeyDKp`xUugzKGzZW7}^=ycSW1HOiO!DnHu-)BV$7h8|APf5T> zN2f&9;(OzuH=6Eia`sT|w5U@i8U^xKdsxPCF2ErZu4ShO$H8ArU_jkW9>n77948AT%p{9Jau>U$gBub*(D+Muz9%9qz(J;MI!g=>_5j+S~Og;Uq= z_ADQV3Rz9r)r~V~{zWS9y%0w*b@Aoit8^SxZ#|ylVTnim4-HFLcEuxp_pyFywsYij zG8R|FKIV{zBDHxlrFTRkI$oxPBlx@)G<7>)xf72hT8|}M;7A~!Z>gIb>T~_^$X3-w zU0c`=#q`8qw(v1T+lI%*Hy67hhs^7gHcXmG{3k7S_JR}oBiPsxd)6NjyfeG+%XZq_ zqhuVttg~ECaC1c6e~yg5IOU9f`%GxQR*pjFoJIz=Qbr*Hrvz>ZoYFGYQSvH#qqR~} zA!m#f1W=H|xLRY;%sUeAL8(wO-fn!a%N^2BKslYI>KE9v(C0;dc9}pI#Pe|=(y-Pa z-MH@PwMG|;Zm4cQ;v(XY^lct*t)%-8w*-y}JP|l`*ZvhaI1~IocqaId;Kf<)hg-b1 z`J#gj^IN(!9Lc;fk)jrGuR9i%Xc*0RJV-%rE;s1PP@g07&iiLpbo>b!NPmy{#7WgG zG9ME>OYkqjuitFWRLZYLl68R41w!xarq1qaW;Y<~LvM)cPLTi)WD}>8o#}KI?fOpA zk@8AIu01QB){cp&E3l%8S3eGM#Bx8@6F-l-Gp16i#PZNFwVL}j=ab2LM(A4$XgkX! z>!JUvfA6(e?{~%^=eD70Nv?WZc9dGMCh*Gz06uu?E7_ikRon5KLEH-3mkn+-AmSI%g*Hq z0qk4d;IpIkY_UBe^qtWChJ%hx!y*Pq>RC>V0s9t|Irob7(ia^>{bnG7blDpkH=Qb_ z+R{s|BS`dIA4h4dQ04EqNf$90urC_;{cJ`TK{_ zcXCd(+~rHISBN?$ci()PUcWsM`o+#&Hri@tjJgCzXSxoaBG)}cy`y*g)aXQ{4IEW2 zC`J=!z(lMePI+^uMlZgf|LeQ)JfLN{Z-KOlvQ);;1=l-Aj*D;ihNcoRtzzt#^!bZZ_P{Go zC}INvWjsH>#%#QP822Lx{TFo%<~aS<7wR+;R`W4W5#N{DcdGg|_A|eyS}xJ77lHl^ z$XBdp`+%(G?f9rxUx*I9`dCrc9gbEVbqLDwg6y|OpIiBTKtLk`Nj$cKV#PTwu6M3* zL1=qtHhyjr7d$C_AdLi17tD4|{J(nxNi*luMn2$WT=Yv6`^r8}u)h}8Xajk4544sq zlVG_-w`W(j0-P}tq!3P0C;whOanx2r;%?YyYf3oF#0}2BWaGQJU;@@RGFMBmp9#I% zs55(zDJ+rrScLbvGH#W!lfG+Tm@psE^Na>*;Ay66Ba-V76}1u|fB zu5yJD`yJkYA#`s03+zv8+|n`_YfJvQf^y&NW`(_hW~eekBg=`LPfO&l5&0s7e>UL{ zN%$WT`~AfJ8ZnR&1>!ampk&P_@F^?SZCI3J{z?ExkBN7|jc zRhUA|8kQ+p9Ha!*fPZ_hWUze*(qFx}Q|FHwG!4A#?NSYd!&e_~lEeE*u1`hA*dO5B z6pP;Ec3WexJ@9}h5BIsO(peZhKiI<%xI`QYa)b0JH{ru;E@V48ckF_Q zGfWpcXP)ZAK9S#V(Qn~&!#-u9e@$etZ{;7OHM}jJ?o<5 zMQ0Cq_43c0#uqQ}n%ObHG35g#&tfLji;hEmQf{hN9Uqh{9we~}nv>5-v!^L-X@(xk z-;%4F#f_n!?||dzW60*n@v(^;MMx>^rSqko2L<3ewVQhqzeX z;8EFhyLyHbm@fuPI_^IMla2ANo0E;n=j5x7Zy|R&&SP2f#@OW>5nnj$g5TMJg{bRRzDkO!+?^~y=io3Eel>PR=#CgaWcZ?(}V zjXNk&7Lz>jehs}z@uRKMry!a;L^YR1A1?mAp;&@_6!R+FbzOt>K#wJ%Q_IVkj9UW7 z1fB@Ixp@w!FsNJn51tABBY4rcO7x=KQ*+q=sZBaeQ;p0Ug?C>(yo!0^k#U2w%x5nM zbMI-O$GJTO?;I@|-f&*@0fh(Vc41b5WIiTxzzO~(_*G_PbNo?TvkJ`*zHpv$BkOeeBeVYb5*HxtVUT~i*O#ojT#oji zJMDcyx5U9|9RGe678Hd#OPOSS{yLUOS1FI*&$1J<36Bd9`cCNnHr}xNllVFNeNWNf z=eqbFY27>EyskHhYEUn#;QON8d|^56$r*^KBfO2AQf-4Qpmbo~?joNNypbLM^ECSu zJUp6G@_0%MOk~`wGce9L>nOxF==DJ4n)+6`dEBq~SFaFt3R?fB&anCX*LR zDtx@*V7UIaOA7ej{$Jfg)H{k_m%&&7@4H#vnaIO^+*%s`d6)Z6pp&Y(Cz{0(uHl99 ztKbg#Jr2m3?Fi|=$+&^C7= znn?lYQ}K*`oWwqO79~%Acer`Ny5gI|7sVZ*e7@Gjgv%Rv=_KEr==!hkCTZ5zv>fRU z0!412!<+uQPx=N``<2{0;Nlm%qFDVfWPW$!x`>1;y!^Z^gJ07V|9y6Dx5a*3(X&ow zZ!}y$=tlh?Z4(#hqHOjE^V*LNZmGSd@k|Li3d_0Tit)aQZF&dWA470{eQRaR%@D$b zU0cMD=|ZO>$IJ$s9qi(|_q2YU1e32ao@!w~^n*MLce>Wkz!Z6JC&lgIl72`p{e+(lMn=lY=d@M0GJz3*@P&Nk}+8Z5D;E&S&2uEEtbIXDzKJ$k)u z-;_C=2xejVcGVeHOlze6eshJk&EK+{ah{R-^n*J(*hhkibi8j=1p7EA@MdiLZ3>1< zjC-tP4dBh(Nq)(ldZ316IrgyOy{pY4M)$bRz>oagW20HR@Ys5Y<$aSG9H&%_IqZq+ zo#@a5C+8et-K(RQHj@OD+>L%3l1{)9!Ln@)_oX)bOYilnlA8N+?k+a1W~a5YhVzJl{(^wo=FD0S>%W|rana=s267A}43 zk#z#+4?h=RP{(`O_8hgArN^O={b6HoJUM?T3e71F`j>feOs06i!9c+Vn1o~>wKb8 zcu&(QmHyBf5;UhDp1bk^|Nkt${&vs}guXwMNgcj2P#sx7+E-)+`}Xd?!^Lk3c4ecM zMUDWGArmy&AvnKyud&&v5cWR^@bG=l=T7E@&ghpZPu=j|&nf-uf~*I?lgaCz8P12Z z*Z1gldS(qnbo=VIW?h(xZk2T5BmhT z@&wR~{`LjF6~Re!?7OP!Es@BW=nE3eE%BQCW^nPNTq11fgXo=QiN+Jg-^rynvA0- z4ATPac;B|@%TeaUaqJ_{#MKwbVG1@i$0mec+LLig;FiFt)s`{Ahd1>hLN;h6FV6^E zIt$j0*5e$IntfZZ+`;eTAKv7a!Upy5{wa@)ubtq65tvJOB~_T=pVvOJnR?I!KAcDB zyoEg!M=93!eY1fmj`+tZUvMArA8rX86L=!<77-@VmiG+jRR1456ZzZ(FYYVyS3OT- z2ja<0YvT{h$h>i)^SZ-_OdB|Ii+PR$%n9s>D39)k2QmLJNkE7dOq~ z+}qrrY)U613_w^#>QYnUX;^K4bllb67cNf z|D%6uZ{A2A$9aXdV@k(EE_uL(9|KGL*!R&OX{EHr(SfX+SFT8=cKCV$p|d>bTlplb zA6cgbSng>?VSm$mI^1vUx;)6b``g>UCjUL2rCDll5YWTVml~eWZii%$^?4$GTJ1(M z-aiMWT6aHpAoQKkec7EE9a~g9LA0!WjjzZ9Tt0j|Z1V>D*%@lE*JEE?);Y?1`N0{8 zs3SrW9cftP6lw0qV+C$9&1Djs3g`YS1=d|VVyu{1tv)3DNj^7bqaXmMCV3GT6 zl+$2Lu2+aUW>H;&=X|m|5c=gGEFnUZ;0e%K85A_1Im$>n{o)p}cB;W=l0tGP|h-O&*0vl4OZYXG#_ z`uswfk=RF8&!BEC2&!K$?y;8+1ip@~#v`4c;M}R%cIRdkK>ChnXS;migVv_!4U|R+pXouU^^c}zCVd^qr8x^773vNnV}R(dML4pD?(!i?*mXN zy4Y$);v6W)joZ@QxIjj-{+n)57gTxjXZ!jBuwS%X^R|J8NB2KLM8`FX(!_K@xh>?`|uXS&H=s$GcwM7SEy0}Hro@Jm>t&johr zOC1Oq3W1w>@yQxbLm}w2>i!`!Z@5dn&?h_Y4GhmWmsh?C2XCJ%v7C4x@_6WV{)Oj8 zXzb&@j{B_k@aJ5lq9WFfP523oD;>LZJ4R{!Jr1AE-=a`M?tAp%eMXM7|%9 zUqkq_6aJ%wzZT&iLF`8o^Z&$r8_~Zd?k9=*n>aVpZ$BT{?GppKm$mQlI=X>SoX39c zt^hc3dOVB8Dg>B#Zd)K$9pt&^W0WzYBXqjXAX>b~_H$Wn_tD8<*waA4_r*&EDDTWI z3hwcNi6_q6XYb>=l&~(?dP5&LtloBOFRP)G%}U9eT?|m-*9Rw?Bs^fNn#LcQU^$RJ z!)hs*XMt{W1xV~v7l(m8dg@E~IdJ0Zz!JBu7aXCs*V&2dP9>|R0qMyWqoC{zc-H|f$QK1y%6`lsbt#e^r+?DcO`z_}&!oTkr4o(jRJp6KOc zct7EC#RD$EpSm!$Tkz&HF9-7L_JqB!p1c|f7n~EmajmL@XQ%Rw$xR9$rcP@Lp0)-w4i9&~{v#&;^$vQ58-+UqzSd7d@S%15<4V+TZ!Sps1#$ zc$2&%`CJXBI$n_0IS;`Llgh0uesFi|2}1|`exIdiG1<_&LyCTm;=_v`;I;6vPX^}| zounFMPYCw~588_Y-?0zVNX?~*DN|p#;;qZ_O2G@_uhzOX@SlgH7Y`2$b;Ls<)v|aHHJqaf5qr&6UZonqyaWB?80v_(@pVm4SO6CQc zI?J$HLlW%#Ao@Ka@i3GdhJ;cd^@h^$+%%;F*uVdVQSVE9-$L*b6}6={7=^*WO5lMb z$FMKdj-{UT;W$u=ePtlIIU1PCSBBzwRu%BJ{ICV`F(1{w3 z^;w0(s+2MnLue3)O=?&As@TG-tB->|o`{6+i4MD5w}nHL@L@^zb5Zc+ZUar3b`+>8 z{wcg*5)O3cpW;4c#lo)2v;^+;7-;($6Y`fk4z6UjQhE!AL7;&A<#&^@@Uuj>;`0+- z2xMQ$7sdB~QZ~_t%KeX%&k3cJzIF>U31w?`jfhs-gTm?fk2lIhk?Q3`%)EUXps?Ft z&rm`Ni1S_0$k_OLRSjNhOrNld@PsH0p|ergr@7_R?w2nQ`a)t!`N5L+F0kjbi_ANY+n9fhx_APCqg11!@Iib({8}siCiP7paG;U-BT{GtKVsk5sR+B1 zaZ2Epz^TO=CxibNWB4SmQ%i~WjZ2R5+B>(pKzf@wLo~hzCh+$B_|37n%Q)wE{_i@y zgE1Ox%s%;99rxSw%l64sTY!L!m``=J7v!x-Ze1zB^Je0Iy@5$|m z;GN{DYciQ;R!I8P{9sa|6C(JS;8}uy34Wy!dZ%OeP7@J2Kw{Lepq zh`2MC`nJ&x*5o)S%!f}xeRX4%0T>`k@k)r0IgZY~ZIIB*1@!&3u0EBn0Q@+R-~T1d z6=`4c_&S`&Pu4R+-|}zN@#QMQ|L9+olicIbU13nYb+X$lGy>-Ky;vxu!~0YZ`b z1(9|0mgF{h)qOEQ=bGvTy@Szpe+>muU+u(Tn#1buGAxbx3=Sva3d#K zLT)GCmyp!AvO;G1dY^eC@`GOEv6U?147>k-G83#o-s}t4rTibIzxtCA2*&n<@l~11x@dklVd4bF0 zzOc5zYW<+e8}d^qw%6i1@2u`O>ZKVca=k*-F&il9?dj9cCSMX5gto(Z210GwZ$ge(g2hmJ4 z&lqU|&rbb;9nmh(`YL-Q9H-x$+W*C{hr$VHj+!w#nQ@~sr99crtL&&P{K?Npx9~lx z1+AjGAl@6h$YnPE#TIIxY`(hUi1Vm(q{MA`{?q>(T>3rj_wjwXWv|d@oF_um1wQMS zI?Es6+#=Pe7j1&6C|l{cOQJrH_r@(Z)-0Yy7xapmN2Jk3T z|I$Miod5nY$~OJF1N;;lr#*NW=b|dq4Lh${gHOZE_s}O+z?8UAn?Gp}FCxn5z{eh< zYCD*};eM5pyq@`bHh%tczI8)O&IC@WX+Lq#bA;W$&IY(_{jWYtjo2D(Z~*&$xK+ho zS|NezD+;|%KAeAgUAN7D-UfyXQrhlL;W@#7`Lsm-8j&wT_-7OTkc9scvENVZuMzXv z#QYJ_Un9;9Q6I&64RtK};C%Ua^twaCj&Qw;&S`9(8=ZXDu!i95ZFEwa67vR5_ zP9)Ghv<4McYIDXp7vTEMw{r`=XY=Csc`u!13eW6%OJCi^b0}Q7yn$X$p!@AX*K{BD z^}MYjkRR>m=kw@R;SV_$yLS5C#(`rX0L=#uZZht426$Zm8U z@7Hx1o>)r5K5)pwUE;hE_DvcJ6L`wx3>QK~CU|f@){j&Nc~?Vc^6PrVB@RbmzcuFV zff;v>;hbtJ_umVz>_9Yv?uOe8&Vz7nT}(sF#}q5>_T zJel?IO+1H7oRcW0f}i}J*3kFth=fKbFMmw*AmL5= z{2bnoIg)kr+2(p}So@@&^9A?68E;n?9qc2K&lSf&=gMGP0BAOvn40L|_x~#|K^6N1 zB^iDkiMQc z!+EC)=Svu70>IPdeWDEZVYC)_-@QLo9(*5ggtt~XK&wE*u8&VhFirPEVp2pGTEqQB z@44f-TZ8)+kL7$|+fhBPzi-{iyl~ax>~I;UKF*)3t8v;S4)Kewfuc9DzGjdL(r-Ax z!`koCmrq)ed8xcNJn;qY%O9$4dVXsg_GL-os0s`5fvAh7jPI~6mnyiM#*{mP6-D-} zE(hi_znx~LGB_6)*bD!hbApxE`q~URxIgC?MQ6Jm=QinAjWHyVfV(nY z)D1fjmhYjO_jG}&YsR$G_;b^Kne85kbI2=L`K%vcKT2W5H2E0UaYuBPVU3{@It~tu{F4@83D`@MP;Z&2j}r{&SYB z+zv3CuW##$%z*#Zc=>>z9c-5Q`~3~RA0*DVW#*-;)odh~p|Cjf|IUwIaj{WemJ1xI zl>T`h@2_y5dSuPBXbn?GPKb7YcY={yPUErd*f;DS@4UY)_^~#MM8?srk8c~)H!xoo z{Lr??`OP063boiqkRWK_`u*K_Z-Brlfm;HnQ`vV6w&t2aX0oUCnHwhX@?rXXgn}E~ zy;ODa+Z9JL-o&yu<`oCrph8sVHjkepOfudrq|vd1=8`303R|4BefX0g>TrQk`?pdT z_#8ofoO^~r%bAQ@0>=cN2%M&yHh1R_I{Xiw3H~E^5uVOY33cN+UjzGHZ0aO3Z}@#l z5VMwb0@;J*uk6C@fwy6W%G%7F%sX2*elfV3SrabEdm4sOM+ zHCJ3rV3sq*U!fQ03#9(e4VSh963?dz{%M@6{7=saeH)okoPJ<%-EutOxX9W z|NHgPiB@N@Ik10MJiRs8*l8`?#(gV7H;UpyyjpY2HYPxU$stQ-~#rWHj8dsDa=r7fPa=QCbN|^x?jR+vF4&go1@sbq zdzBnLft1qW(e}j$tiN@zUO0wv&)3j-VwMCgzwC3@{surn{d4N640m|fdM!e{$QOoh zszh&AA_4EQ%vf~73Ur1kJXR=i9a8X+)&DQv8`;%PorQgB`0leDs<*}W(wuwjmU}(O z_0TnL*4vD&?%1cH=0L1+0QvjhxnKX$&eVh@NTcaRF)?$BVHhRZq+5KKR=^i0+n22}4eK3_CK{KtFfZCEvsET?;6UAHla=zbddyA97- zitW{xIHwAS>~{R%-ldF~20p8P#`RIcjf-_xKih!c^3^9znBSCKnG2Zk`w1-O3!UUP zCI4PmZ_za!!FAt}yMKJ>LX6>UIy<^#EeQ(dp1z-g&%oB6kFOh*ZQ;TEyRBcuJV5Cb z&&lCsoX=PF)l)6s6_!qiWjKCufH!?A#;vpNVEM*PtZ+UTWVVA zv4e~_aUGY{GoZD?qQpXb49+bnJlDQNgOE4HRB(wiQ1HA^`_rZhj3QxPbc)JIZ*q9b z(M1Dp%q;EWRm1y&8^hkr#;$PH5hdh|oq>hPrHoHaPH<(5+55-KE|4f*^&-R41NPMK zt>2*X1s+c$<9n32Zug)o8`|v*l9~J>QTX}zRdB_`$yx(wZ}Qqp@9qI|SE)$rCvo2+ z+0=G5-j@724c(o?Y6gLD`d!@ar`Po1_W4yo`z3WeUvueBwy7`*r`F=QbyNe)*+1N5 zGEheAo%`5-FyOq|!votX({17KJtmwSi+ywcofB@KWbmSJhV`5@xB6u>;GVeVJEDc> z3d|ILxA+>s`y6(i?LB%h(EBZDMc)G|9$xPfO3{ShpVgw>4mv;pTexyE?wb?mYH|LY zj9OwOths#mh|hNi6WeO_3-~#UQDT!{YbExRz4@eewcG*HJ8L)Gx^X_DxA=TgawQG3aRtI2zQT1gp#2@O_4htM5`H*>m>K4}lC2=F{_pYgs z7bFA&A4`-UV;{*wYUhfqpSr+RkpmXY$85>GCpv2tx2WdtF6Hx zQPnVhD98t%G}p~0Z}>ouBE8B@A%Ebah3;V70NVQOE1w#Cw&I66xKES%pS4?8` z16v<%-Fp1ok#MGFfwB?%XLf8qo0R7dhU-_gzZT&f-P3E_8Fe*d*IKqYYf_S;v+K%DQ^2Q^}H zkI#T%UTe)C{5&Zi$Fbpk#T5cslOp@ruvI`0fMYmbfy^O4ASqYd$Kxrq6XYjJYCiG~+EW9CjBdE)@v z^&Jx(w2Wc=^@(S3U)JMz%hX*0;dz*yJMno9^?PTGr@lZ zFR~Zwd3N$R0cY;3`S19ii_9BALOJhKE#T1y!K4D};}8}ub!R*b`&s|v9dE=mv)TGM zdOODF`98}45qwPWEWy77zdFSndVu;5B0>iUT_E(1o^P_13il-leb5$ll8H;fzAuGt zdL!5uByHg@=Sk1qs6s~Z`&=_Goc!uf7yN3ivx*|Q?_`cD9DY!kPepwK4X?^dc(myP zp=X4?y$w*O)8zV~^ndk_ZD=SGvVB4Fi}MZ7EdkJe2UQLzYTxkzmcUbH#qr)`-OW^pJKS^J7X*5$?nmP1^O>~d zXJ!MrWPLu`M4#YZ?+yD;2zOUb<9^jYeJ6C^zVpMoO6-G8SEwkt(BTJrPQ4R3FYgOm zr&e}(jN!d4gO7AoEqREjBhK%llR-F_!#aaul{DfG&fkkNrluVsaAw9b^_(lDpP~L! z)k1<3-h1-8=RBZ*^y$}4-0vmo6{3!zzcU!Fvfxkde-yJa2VM6G#P!}*))!wQ$aN1< z?+|k&xkXCSY>%fX>KV3igbmHpr>HI)=-~NlgG{py)`Gx|-)!ZQCcOpkdKoEMZ z>ru*!>nnLNS2r^kZzRH<5-pP(j1DRH>zZbsMHx=-&WYJYBQ6?dC3iJl1%0!+A| z-B2gx;z>N0;XhM(UA*?-Re z2n~TBGHoT@8Rn2vq#96tD;&)?P`Tghv_l|di*tF5_R|Xp*+?<{*JJGHBy_vQG zHej9db$PR-8*o*)IiUuBRBA|}f6&erY{%awmNnsgyy@p-;itV(W2x

@o#vOBl>3(|3YADhR@|f!D1USLouim@Va!8=t#kZy(OGfkNgx|^TRN9`=nJKAk zvCR<>A*8x7Jb;M3d3;GUu*U-~N_~98iSohe{`0k*bTf8hN2sG7TxIdSZ={cM-)AT2 z%m?^EwvGBiRLLHkM!MrFQC@MyG3w;)a|E=<5S1Eq5aoagIf}5@xWL3j9c5X_3e*li z*1U6#0>-L(9{XF|AfFl{81hsWt01@5IiIkFVgBSj#b|FPrbJf21kL+%Uw_NpKd%M& zxe1w>?NRMR`&0b{kE^F)p=Fx__g*hqM!3P(2*P{PFd4uhq zfQut$yPrt;bVdV6I?DGgg0(RRRh@w-pCGtss`KUppgfFlZtLkJHFzSFIC^`XGluOJ zd~{>g1`{(g_}ai02)0`NGD{*W2Y7duM4ny>#w;_2E$5^vJ0475lTEHCLunHB$TQIs zB)GqudI?&gezk~EC?*j6p3J?qoU;RW5WgI)WedViu7{qAghN5c!C`#`v?m%aoHQa& zfL^*ow)=>_F!9v&MK4(aKCBDl%u7VMd#!AVLI=^iMCDRMHk&=|b5qUVEfsSkLClfP zgGtmKHh3zvI9{;ETCuyMT(-8@r=2_rf&;qPlbyGNOr?A<5oe+j>kB`SpOM{u_og2l zX|9@OIvYqkC#R23F_xkEZNf7;_lJmw@O)Z4e+|zU!Tqywe@NW_2;c9=_t$WJHm*Oy z-`DW@5#AqN>^|}7u0kZZF;~v*FO3B2^ziM{20joO;`{P~Sr}{)Giw=qM1i>%noUIQ zWSCwZQ|0E2fu)&li!JWXz`qA&8qfPfK*Vb2I} z3TV$=%5kM(A`l*Md^%Bk-33&2Pl{fCUcJz%J72KTbza>>r+7f?Wk%O(!*8@uX}557ztMnYUsVb69`*c zWxc{osi1D;>q*|Nj)j@_8b1qjhNp+ql%v6mc22Adf?_8&h(aJ?(8)pG3AP?JtN1i# z0pD#W^L$Z#Cc0hVWS2Dq{Ct1DTIDlcZ;bgTUA={Z=)i93X4|JjQE+A^L@^inv<#H& zu&t>N0s6NIWx3*EutD$9;RAtW8t%j$v)_7`p8|Lt`Dn6~dZNDH`*+Ur+i8E$qHm1p z+2sJf&Q(!m!aji4DPFgDow5a_zjHzJ+0`FP<9_D8ut$8-V^gmuc;sJtXg3f_t2e&7 z&;~U$XWsI>taZp+2)ohGN_x>A02!6*MGcZkU}5dq%l8cBG<5Y-bNz$CPo6?hLHAd@ zZt*(C>j|&ZbDTwr1G`X8{QuN5j(<2V{z==JD~9|mPQMh%lOdz|;9uMr{#{14wD5sn zeW_olxw@FW?dXPldm{|To%B|5jj<_zjGljaQs!I)hT}1gvpD|Z_!|5yjs44qr4F12 za9+Uq?i<~`2y;4n8b1(UCKrclApd8BsnC$~0DAKp5%tGCG0C3>0?%p**p`D`;|vVe zm|b3b~1Ltp11pCZhAr*b{6)=c6R+ zDQ@(hZKF1S(OVAO^!(;tPa4s9Q*yiApKY>azBZse&VJFe7&oX zuOaG0_?USDu(E5n5)Ni|WkT2P(x~#73 zVG7(ks^HP+76wdmMq>$`;ZV6qk>|hQ2g`I>?$wTAQ13CLwpH+-eg*GiVv752=c0QN z&RH7rDg_7Y>?&XOnn7Lk7&t4x1kL(y0Vkao@`oqgM zO*M1KO*uVP9?g!?Ck{CC`kG@cy3RM$j8T0u{L(ydT@xF8mpfV>h5Vu7HBO{kTG9BQ zYAYP)Dqsik>wRX-{>ZUGGpNXv zl$=HxD|MavsV?O~Shif}t zFMGlnx$qZ;7~!~a!lorl%%>tEiOi`3%S>#XqRdV(GGaOu%@zVP&dhTQnr=|Q-J=&Z z=?k*WQEi7*DKLDOC1tBGI*)(%u%DZD%mlSYfaiklNBJ;cY~`}uL}my9PFE*Lg!li` zC)FJt&m|dHz{~g;Lf>8j*e~AEzc!=>#?wdUtLL5I*}RhrNr(hnV(P`|IK6;l|4aVc zPmv$PrEm9CdtISfJ!yq?0OdcKsrlU23xoN5K`PTBRRGw40J z*^-amF|4=c-d$dG!5D2UTNwIv0Y5iJi~~G}6Oa!1AeZ=KPhWUSksrBNf$~aE22{^E zd%U#Nbek<<6e4tsf6;dS8zv z({VRNImNN1XIwQA0_dJ$VatBh$Q#yftNAv$TEeG*b3{(;k@Y2%Huy!9`@JRaK(J8JEjxABC+Dq}{l z*$EYxcMqvqEU>42uKnh`q~Volc@8u9kGD*7S#cTvRCol;?n-lM5jR+vU;TLu=%x-%rC(?#x?} z4VQJpX!*2w{u-Vyg8OIV{*bu;5q_@l{WV;ljq8u__ceTeg!e~g&W2SSr6`Z1{m7(O96d@9jbh2A9DW+Un6UUGjt}%lG`o^05AKm z4;*Mt#+92X;&N9K8z`x>oLr2Ank%cG*Ar8ql)qSP9^nU$3mv)xV-_+2VAVB$xbuY( z1nlqfV$nqJ|C%F<+4AAgQgvN(6Pj1!xODZ_?7Zn50iON2YO?uN7@YT?V@ki33@vKk zy5;1N&qd%Vfl`A|czlKAzM(Y?&aTH=&ailZw~<(jv>XK-Qw-`Gv^)WL>CY{`v4sjj zCLO64WSH=czcD$1`W~gRr)-UZ(0p;vAAuL4upDYq{mGdM_u_vLQ%;cJN?|o`cUuZH z?p@0}uYz=&7h^_lwnhU*V0qP`mkeRg0tTzmJYJQ7>j^1X1Cu!s;5YKZ9@uQ&*OpXx z($2~K>6&id0!i%Z&WqhLF)kp#o&0Fg*%Vq`W_xq_P|jgV1=T9j1n~3C&LntuXSNAu zF>y_zQ!o;g(~SMRi=u(qiBQH89tMBb9_5{hroi2puUCc8ennb&=y{>35E|}S$@DsJ zmJbEIj$Af98P@sY13lLYNL?oap{8RXqEpfVoUXnry}2LFqyN?^UblFi*6jJd=-q)`oFmG`Xz9F*z5zrhx>O7Tbp2JMXRBV>lk;IE&*ij<11#ScV@i^V4_$=LMYax?ep@|Ez0E;|Inpn^bK{#_6*`|FkuY z&v1Tg`&pt=Y$^RO{^L;fY8QR< z3wDM_v#F~G=*X)RJFe!L)V5@Z)oYC|ppAnma6MtZ}HLNAvG?a0^lZ@+@~F~%CAt229p0p~AvlOG=(=aK(N)qNjAYXYtB!TX&9 z#51mI8@y0HbJO;HP3x&5OO$#`J;B|f5j3O}zo_kADyNDi; znyO!Ytk?@G2@W3ur+m>~%=_jI4k)+CaNEnOX+C&#ck4dlBMn%-uR6#pON7Gl!Z~|k z)YtRGvcCxNgw}m?Orc0``?PP{@Wd%ETHhhkY~S~GAs7saE;mc|1k=8MYPr3jP1qmy zyQNuI6dl1tTxJGcSN-8gwJG)l&2f$XFlXg2qj~z|&*HsW6uQE6>VR+pYe9-0l{6x_qFZi=W!z8wh6xH`sh}^@DYHuUeEH z_k(w5FN6~0{h;?kR-bNxCtQvk$yYM8{bh0zj#$M1o=A} zx5(!wA$>&kBGX%>+kci@FI2uj1e1q{&fVMWh4Kb3@2{yxe#LpA_hnPPX+AY{^``Fe&E?E7P|B+fcA5nb|i;C{7Hma|IG6{89jlZw)wjKMqls> zJ)hm`NP_!?WfU2NV|UIhe52m+0PVL67k;4rW$_OA%P1r2(`8Mj7k=0QU-*=~R|N?c zF0iBr6?wt@NsY}vVcHwYMB3zK(X>YJOhb}yhCUYZva@7sU=H?TxFLY63gyjiDQElG83aE2 z1v8czkq=nWe8n`q4@i9F=d<7E1x`f~;UWHu4MzU( zNPL{0PTLOx6sGCJqyix6;e+GN=>76sF6*h413|F=`ch3me*o0EG>(ka1woJ4pTmbp z!BEc;7hSG_d>2<-F0zORKtQKx+W1-k^b~RW-|+H-tf6}Yo3zn9!(r~HY&8kEbUwLF z)%pUvSB_QlP7*9r_vEJLARo-B=jRGTg2DZ>Dmm08i1xYb@&2RM$k&?9+x(C5S9BhG zIqFY@1cEVxUB0I*@;_S(QT-7V0>fW3gO)=>z{e=P{{iw-cPcaXqPp8dzsc0iXJ}4= zpOdm55xFfK2f#4(bQxP+AlQ?>I%hs3!A5J{?z9gcw0v4Te+|zU!Tqywe@NW_2;c9= z_t$WJHm*Oy-`DW@5#ArkscgRErWXVX7WdCP>_z!~ZntedTqi*8y5z~CJ)!W$awlQ= z0u>tG9ABm)y9ecH$xS)m+#pp-rRS`(9T4tExhIWFV)vtzuf-uhbyg}ut7Z_{YXxaMAo`y^9Ej$OnB5WFCM4;5A_i^fY!m(=`{8+=>Veb|7 zkr7>IXx+&#Uwte9*zY-b?K8CkQ^74?uHJQnvs)kgYszdNHJWC-4Hb!R;DK)(mfOL}_` zih3iRmh}794g&3bKk1xrMx=DOhoS`UTuXX?mgxW$bf7Dk{G9~SsZ$lrRiw9DGf^MeB9 zC$UGX6Oayn)0ZAGgbx=^L^)*gdVy<**fo1J*Wt9twPZ&3Dy6l>{M_|KTHWGxjMo!h zry}VJ3D!Cu|Egyk|8QKquB5>*lu82n#FO0@@7dFE!+4{|*i}LxjJjy^KQBhPem4EX zJX`<49j5uUedAaVsBS%BV(1e>!($w0as0*c)jYV4-L=w@#sfGn;C$z%OJ7&a^bbE+ zQ?i~FcX>dz*7=tQ#I4}YvqhI4)&N+F*i)Cr8qsnNnGPvV> zrhpfXH(RkfpU23T9p~9sXGa^y~sGji1{aM9=i2Jk%$g50%#%eE{coocAj=Zd`3dIU64fmu}~&_(Ho| zm{>&!@*!O{O`#m~0?L>4l*aH<4DTZf?y8nQ-$;V@7o%ocV?2TW59f|vClb<^`zn=o zli={EQSv&Jhkec7tX6IU@e~i4=r(0f>sRnTM!7F-muM5x1^neNmFEsV79D}e?}NKB zqn%9ad+>gT!{xGwtn&Z+j=ijw%|yOI9~UFUiRfLg{9yWXfe1KI*r9&j482QW>M=Eh za5(?4Hfu!>>Ffq4d{Xu!T@s5O|C{D8FuZ)6{ZKUG0i~;UXxoP57u(ApXZN|a*z(_G3$iN|Id+hw+xx8_M&>IBM?u9BAoe6 z)|f&1M33i3_6Rv1#FCr&BuxTDfozjZ*3?3NWMk+x~ ztQTQz)up2rxzjjR~7 z-_V65SBd*;7On^Ptz$*4 ze_AOtA3v!B#v+0c3J*Q^ZQvAA1&%?vl@`RmhaPTlYP|A~f6_(q_MoRI-%v{3jBO0* z%T5@xNPl#4ferUhZOAtBf~P;2M)tM&gM5?Li1RE7L~ic+cvhbRW)Tinjhw!4edpK3 z&!1H7V8eu-Cs&HBYi+`CEHl6Isl{>oWGbcMqzOp zr6Cy?TmU~e!?hJJ-Z+Ipt)=z147osr(>c3&QU76dm#%xQTN8p$H#AYK^RRpF30noW z`l0#$fvd{sJ=9oPOM;N&0ViFicYkPigU7m`zZfGuctuFx=E>MVFlqQ0RoRL1bSN?H z%s#ddveC0YR?iMb+iLylkv>L>t^c`fSz!O-KuGCYh0FO0PS;T6Ngtp zJPP#5aZ_jP10jp63vFCWqC7xKUUdrlPdxUCdw10f>s)YcwVq>p(%TKnn?((8F1<~;NZ;hD40#?R%B zw0v4Te+|zU!Tqywe@NW_2;c9=_t$WJHm*Oy-`DW@5#AqNI#_GmmP~~^#f7CAeiT?7 zTv-apPJ%&h!D|UKaj?kxwM-c0SD&<>ug7=;;hWDUY61%hRE-Ide~^Ckx3)u}aSbe~wp9vR0${$q;4oJ}x*QAnILdM_(nqyFecddr)n zfTb(w-D_gO?cviQGARCGYFBOufQV!Lrz03W;MWSj%G)pg5PyElHWl=_-Zx2GSc_0T zPF97UMnou>Ycaep{SgYYZr3KrGJ%l#c+XIVbt33r_!+!~F%qsaH;J=#M#FH)NV~(y zKbW9w9U$n-i{9h^)+t`Mc%4d&eae|bx)Md1=*BM--r!(x*P7If7H>v=6~xM$3Gkw{e$QZUCBZ^t04mp)ysY~+(@iAdE67d zGcgfKLb|G+@O7cAWZgTo_xKlg$_X{1MDji`Iy!k-%G4Oc@fgQh9Di|qmFXyF-5X~` z;{lu(aK5YiWb`vdOrORNABS8lkGu#32kVb3&)=c^DA#D0$2OKQ1zH*hOAH{{pErTE z-wejXl?!TTk>BUC7rXXP^zM=oE3_}#5pX`k`OSrLFI;>2z`yv<=d!Dg>#8?w(b3;k zs^|xsLQ<~SBA?G{ttWYG?DjO?#PaqJl2@xI(g8Ck4Z3-#>Z1U@nuL6kp9gkgsYm%a)g1yQcPIXm^@igbHwMSwdqRq|e!*|FA1{$8 zJZ+NkPhZEkZPC3+UK9hVl@Ug7)Q<_DmL=>mhFdiQr;nPuKzh&dtJhFY5=UFo$)^wP zpfTODd3zdqCu1O$ErkR@@7Aip?XzT>&+&3_NMuzw1*m$K7YCm>V0Y(F4CX%Ygb6~e zcHU<%+TWvyJ6^)o$re~`Z5q^D+>u|=CN*A>1Mo!pyWf5%JNRjDJJjq?0!>L`#1=VE zIIHq*=tYe`@Hf8bz3Ao+@8#|mS?XKD7kRc5j0hhcy-wxd-r^1!rSBpSZd8V%rOz9D z=v^V|-SgW#NZ0Jro0GavB?LPr=W+V%fC1p=rix<8{t~^9ycT$~!OI)@CAEDPT1I_F z+*k9}*!Ro+t#yS0*9>86eb{-$3 zC*^OlQY~sF!sOHCn(7{FIC(F2@SNyg?D)^tKH-r4nBvmRg>a5sP`M>$U_ zdzp(jp&Wx3{J~kQNRJ}Ya(44aAK2eDQE*_BH=H^ZvOgI0nM!vmcRgaZ0{YAH%6T1R z@aszrNcn6Ds&?!S3JGqs&mA6O(n2A+KKv}#EIV)Th5Vb=OiSZho1K|1(t<-b9#on zU>8>=X>cd%(}Z0a>(ab|X-c=<)Y}2xF>KVE`W8mZr^WNv@O%;6KO6Ul#Ql%({eFCZ z4cBMm`Xl^(4WA$3{Zacje}DG05a`j9KiqaP0gk^oq_;gX3WD2K+D{_i^YLtzKLgzX z5aY1OIeMN1A(q8+_cxkDljGLTbJ-{#l3_;$wJsKX^G*xR$Wj5v1-pxWR$_8qAeo^b zaoB1wcle2aGN?oS35q!Vx+8&6_@lfa0X^LV%_v{IL7RV$nbbQ+eZr{ZXD!z9t#O z7wrL-InCJtPH2vrV^X|={OOhF8-u85zD(~>P)8-Axpv2!_~uU(aM;GH+Jo+iwoGiz z{z#9my3B8ArV|dTuTN@AIU=7*ksIolTmyidJl;3X5e^YMC5bA(jo?IjgrbR<14xXk z6m5G+pq-OUa4@>K*9zvU_OV(`}_$6BpZ^06*UXVYehS zzG{OT|3~X)l*4B%-cH|Dj`XW`&&u@Pq5Q(Z?bW$fesEEcTx5g#JvkMglvkBOG~D6l z?|NRy765o1bvSLwwd3-FTldR~Z(}|n)5+_aG3Wr-DtEsz`%MD8PVu_M>(q0z*C%ZS zcaYn)SP&KI1&X_y+ftm7-lsiyfB8rdt={AuDXtnbo?y^1=DO^906aM2_6i^zl2%^e z$I$nqv%T-SWd=eUA*Pb)OCaoIWZDu@6iBOEypHjD!s~P}?m?!8l+VBF8OJ{y7n`e2 z9KW?C04kEMxf=5M(Qv~dx~(Hpf(U6hYnS5hu!9Suq1&IGvKWp#Y2+li#cmI5n@GH= zxkE69<1vo2IR4`J`n={;18blh;5>ly0?v1_IScP@xhvE7fp2oX@`q#oz;Ug#j-|#D z9td81_%_oD`#o-Kow?B(>%NnqO}MFzMKSYy;*ZvVc{lc}3P|U;Y4v>h!4U5yN?l(+LC-N#;`gE#a&XuKOIa-ZIAiyLhEs84?40N9bn@xZf7 zMKpfyy!M1WWjC5TdTR=L5qyz<(0}{WiWx#dg>r0Wo6>W`$s{Mz?hV{xhQb3@Nc?X6S@GrK~d zM2EtoM-zNpy4le2YG%M?I0d>MHp<9zWT0G!Ii|F5q$lv(Y~_T04+RU0+$GfiHgsPL z49Q4`QO!6(AJlg(bzEXCM}FVR*PNe-fA~j-bXGcVG&vjjT_*CHYhBBx^#vb~jcwtX zPJuSVA6ZUShcG&$AA^fA5zy}b*3u^n?I*80u&H_|5yA?yls5@QLj|uaZ}%|LcQj4} z`zl9by28Kf%blXIGKKWZWF8rK%wMPjr`{fj%KZ3(>ANK+H$4^H_az)7J>-=%3!y;h zyB)oC=sjWY#>b)svY`;(v@q${6ApS7ntyP z&ySIA=j@<<_XJ;;LBS75zp8Y$__OByc!=*bjMQFAhQ(t{{F=z0v)7@Eka{VRmIE;} z@uusuYZ6#BH~mrLp2!i_S(g{4PXz%wwU&~4NQuy zP&c33hxU^`Mz&u&7zfMJnWK5gm)D3z_TKgP=>E*Pqs8!g5}cjXlr2QQ5A8>9e|r=c z1CmyjxkKj2kNZIz`&m0GD2jNFm#OMvW7&>pC&W<>4BM&yBkQ}vxo*SuBeKaVMY6K@ z$_Q8X-h1!8_uiWd6&13gL}-e_r$vQ~hEmZoN+l(tC5ZnmUo(yQ5TP>?+YsqZFen}ftKsq|Ud1XqXRXAc^DEWjKL?ZvtMKp( z^iSf5{Yz5Rj8$61zEsAweXWVWVHVi6_em63!pn#&58a^M=f+|b(({Vkkm;=PaL_j~ zC>^>K4wNF&737&&U>y=>rQQ?+*53`iW>TZ!gPG5d|MAfocchD>Qx=5y3kq+WhLG># zmxAi|{F)FTX7I3>#-H@M}@AUe(8AEI;y6s=s5)Xl6rnZLyVxVhawYp${*c)J z2=Djf{WUzFjpvW>{Te<$!u?VCwBTP$^)fhSu>HuC@)3Apv%7Mel?R+y%i2{DoB+?2 z=kI{D}Cs3iOKlhG29XK^o-hKF52t6g&kl}L{i5Jv{1{;pFp#3nKkB@)s zH-k>IyXS6-Cqr+w<(`LvX>j0~b5%I{yI@|bNV~Vjq?-;e`*^}NhVx0ZF1{R5&Vd>k@vDKSa=~gxUyA!4lowRc&=UkYQ{>xJh_CL8UB$0SW zr+n(s=L3m=aTHqi+}utcnhbp7(yW)7Afq#7JVsu{=38xsh7^lXC&zzf^ zP@cC*N82d!2X!kn>AHyg)b)-~P>P+5BjIgU^Go#o*Jxjow!@g3+>40W%O06q7za5s z%vnOn*K+x_MHjUVVq7qlsVM$C;C5l#{7qQ zaipO*xL_q7MqY7kM4-Ju%o}PvSAwRVg+Ru~<1a&Y*%8!>*?)I(IS`n4%2vsm3z=dG z?z=_iei|7B=3~sWn13<9=A`?ozji_SjsNHX)&;D0dj^`1KS$^3SRb^%%oYwB#e>d# z>P~?eYq+~0vG`CXoOsev7IoY*kQjNGzjfZtlX&dMN(&d&2#KrF0&{y4hzq_s+@4!4 zNP33#t*d{ectKm{Kl<0nH1Y71avGe=-x)>Kn+6JIGg35YFZ66`c&@%o3`sXvw}g1b z(B%QvS<7RTP2P8kNjjYzza)9rDjhaHo_?1Wi*Wgm?#g#8Dwfx#!M0Dl4(EP&gUiR? z9SpClN%~xo$x=0n{JYOr4dwh+&H}9OSoeF&XoW@`(Ef#L;d;G7CJ5X&Id2@83;`=! zo}Vwu0e(H+!k6K-1nwhDZZ+S`rp|&Z$vh~AJRK++YyE8$Q((`POZ4&`>1f}x_Zh=& z^#8@qSDbP_9rj2vKAe;ZA@wV`kI|`OPq9>#j~OFmAHX(a|x;M!TpZD z^U{Woc`Vf3dvY=TT{6gYUY!t4OaqmYVP(~kR50X^-g@O;2KZlMq23yv0USlWan#Qu z;qlCnDNRu>%&JuJiz44%i!&?d6nA6;*Wi^m`ymecE4c*jEJuNj^W>hXOqBc4Dx9v( zlLO+3PuA@oqCAa^2&>A$Y*1FoyS|;`U*B!GZ@bhjnhwVL19X+u`J}!;^c8HW2*?5- z&M$7W-|~p>Dm22Us#4*PWVhYEkxV%AjHR=|Jp+u_wG{4*rGlip#=7xTGIVXdYO8zN zkLWl3;;MDZizusLURguu?2S(^a~sQ=L$LmycIz-hc;W5ce&wnK!7WNd!S^u=ruQ|= zv$RG7`~LWX8^~Yomz3g2z7E<~rRv%_(Dkn$cjjve-=75X2@ckh*o*FMe~QHX*l|Gz zzOUud_HYIPwbRb{8)MOMEH?E(hGROY?W&;*qR4>Pv`s--%W*Jo!Ru_<7f;H`I&q2W z;03;Tc(0xMcrD(LsCv{8`T1lx+?Pc6;)7jPs zrh#t7hwI1rV&JQFWJ}$s9aOdLJac6!9ax8rYuP3eKs~m@`I!VKC>dE<#G`p;TsO*f zvZG=>xeyvKTcFqx4Md$R`S0mu5Syr)ttd}`lH@Cm=0Ea?7i|vVd%4iQRMQCe!pV3@ zogOmcxs(dr5=Lc{y505xW#!;Cla!2hw1o`Pm&2;gvX7fop6TvwCD`g ze&TvbiR}D|SU90vMS1k51AN&7obNeo2z|2e8rQk)p=N%OHRNvsB&G5b&3`(|$OeQ-NXeU7Obi+-`yclR?x!DkKI0i1!kpFQq%Yc$kD;>|c(C1h0VRlqLWWbH2&tfG5SAETFkP zv1`E^6+T)>M`g{GItsG!QYJUGIDO=)LpV_%_PUL?R(zRn{UpUwpowYdK zpG2yY-%pPfCccb<6|Qc+l{=vjmA}(nC^Z4P`sHK{cLu`pBvWa1fGfOVruqGsF$uIT zD1`N)bH|41$fMaKain}&oWF+iMX-N1_J_p&M|i&<@2}zcY&?I2@7M785ve~iIo9;) z+aa*arT7)MVGD0#-_`SOkA{)iQMEn7;jo#yDamPW4LYJi)MaRnyQ6+&!sAE|yod3m z4#`XsFKoa3+>F>02*RvJJUiobfhvIfXSjMCbWdwcM)}6Ur4M)Q-?*c_t$%ol_gEhl z&2k333l1JX*q8$!bgrI^-dzmshA&cXA)euhCL35C$$}l@$eUy;3#QmSEYc2<+hzYj7(A*wtjFic1Qh zLRD&YN2xpProFcipyL21&z5~lu<#(&iHFt8dz1~*k-gUP1n_0{uh_b8$2*>#13DG)I!~Mx8%h^#l2w zkoA0UTRBNjT)T5=zA7#XJaP_xZ4n577Ka_Td1=x7J5BA|3--t_FVwogmm`XVTa06j zCydiz+pSW%{ZaqHGv+_ci!|K}k?#%TAnQYWt1536L zZ97?~%7N}5{^6Zldky#|E?E;>s{LJMdwdAY$Czg^|6+dCKFd`5BO5)p{i6d|7qH%a zQQpYi<`+ZKhsP?9oXWGKLG@17t;-U2Am1&&ZS<7}q4AE%XTE?9T4UD|&A+k13BS=G z!3G=P*1ge8$K_3Ysfm4QJFEj(&#=C&?GMq^)G_>z{;Bq)H-rYK!$YB(TgU!pfcf1u zwH!y3$GNt^M}#JkbklXkEa&NF4q%-PI4NGGTv15U>6Ylf>s~AA5KvSg7ZQ{~(p_fh zFYU||nb2Ugb8c)d2J#$TL_Ec7N&0LdS2=TIBps+Pl~friWC7N9touwVnz5DJGGQ#| z!r{PsnUL{#i^}_x>5veY!Rcw0115z}dxP6+3EW4djLRfbg`@sxm?l;1MH19ZMLalG z6%SXwGB?M>CIL;E&WVPDF(4;6;yB-l^>hc0>~nAES}KIT$?6O#uz2g3T*zRk{% zAvg#4BsVK|Z6I9#)A!(h=l4KPlg*f+`b=h z(9{?_`Xf)qHd#X`p?uSM`+jI|ioaRM;sk|ZvV}7lc3|*4<)(^=1?-R!eJ`||7c{K< zgm%qI6Lrg$8&T7ftEh)tY2C%eS)#4q=k>b=Oo@1UcW;8 z*$6$io_czeUyXlG{Vn6SK$a$OzwZ@GSK}ehL=H!f+!r8x1Rr#l?4==+<2{TvOaO|+ zdVU^=<0G5{GI}uT{?|5NxA6CLG@A1G|5Mt>{u~}UQ3!UJ0IDSazsT+XC-HHouDbSXOynkneceQ`nZIPkLY6&R1=LPCw(rj znn>F9pVCA|amsAR9Yq*2U`)JKq(W%lz5949ukOHog_k?KS~kee$|vM4np7Knv}_P+we*zFm0 zhx_VqLeVwbJ$olSww`3-VLw3Nx;aImzPH)h0NjLU?+6@Hg%Mq{60vfC8{1DM-#V%f z>Fql#ysUue4ARJ7JgE<-#G=GYgUyH>K|fpbayi1~>GNF*4VHxHc+b>91_Q92_O+ig z76LBf&6_G(1ESvbY~+_SjzpX1P(t36Epdw)`0flT0k>`R3z<8HL>KKtcH;-0#1TsE zwzWV@;^3~XC-d^Uz){9@GgeQGs9Cj(S~k)mCIxE73JGO6JNEoRI=>e2^#KFFc9<^F zMV=rM=VA`tmhZlKvJUl?&-46@kNVzMBwxj|E+7eg^0hqkm4-yrE}2$G{W-2Jmi0{yHdV1JJpqFJ7PV5hT4|M zOj$d)?WhN_MKF(f*~$#uW?$tpAYay*`muH12@O)6Xs5oDGNE9m>*af&a57j4Zse<5{!>%nQ~>-g?kBS%SrrCegSafU%}& zEjcb@aQ;zt)?UIL`ik6dDO|H6@lx>J#G}trmBB%TPckFj817u>t*7bq26~hIWZP6M zp}|#*Mr4l}xO;x9Q}?%kO~3IPdNEx%b4bHqBhCPVCuY7T(DD#ZKM3v%w~+${^+r1h z4STq+V^%*BY7Z6%Uapb7)PwVsji=QzO~4i1_s92|!-7<}!8KDcAYaQBPek*_bHAy7 zM|j!5ms^K~*^Y6$O!VRE~SDi=R{{ z9_NI#cqeQLyNT!;`@`D_!GKpYd783>PH+F&*D316j@mN8s2duj`sUzlvY6MmA@=RN znv&b$0EGWVZ5?F?5M(`WK^todERV0opK!B+ZvJ2@vWpflLRbaaE18gZN3C^LSa8h} zFphSGv*_MeQirSR-R+0xRN(-lT2C{rG%+C~L+DQK1&mXSTa44$TT1?17e= z(7U8=e$G~##2fK`f~6)Sd_b=jcP>N4mN-=re%L(Lg224PRLLt7M|cv)`*zbscKQ>T zk1@|;{>A({zC6j-HgS-o16UWZ-hC6)$U2~IMACzmLsyNgxA z?==3e{;|KE4f^{)m|z&(zv0!XNUYr`n|jQ6kN_P&ySi`zz`9v*NMX0QnIT}E?W4&m ze0{+juuj_vFVsrf3qVj%j=*t@gwc!?27>zxX-=KgZi^PA@E)zQ|_@G2ohHd z<6oJO`Uqn=(Ur;yBM81&W^?YjA?!Kp-sEOu2Yr>-&QUX>=k4D!I~{uTfp$UQL zH?@|$q;9K5>Q`_d^Mkuy#W+Y4uznQ_yX+gS^3(;WnhgZ!0E^Jvaio9~=dN!p&+rm-InPJW}AngbkEj*yR~yU;~kZ5yxm1tRVfQmX7G6J}l8Dyef?_A+%Yq z?%m?WOEkT>^Hv6(e>Zh)Pa5ub0Cwrlml{f@uvHFy2JN`0dROuzPg5?vkBcy0QYQ!+^(PTvu` zJbcp;oHe=XBlXbSt^39XXOTT5_Dlt@47As2xFe{jkWLwlBtjC8 zr}=}bT6mcBD+h>USpVFZVGMq8+H_l$UEotgQ-4e+@_P|>+rs9UMEqKL-S{w37jWH} z$cFtI{OSjh1G`eX8qt2dQsJB0p@DZ{iPtpQM59$6iQ?vb^`wO-K3xRYMTJI#2lq9y`V-;71y z7juQKM>jvl`I>>43(M8-XDxt0U&Hw#*gqTlLt_6Uyx))a z*YJEco@xM1?o0WPRCBt3fU4*5IZ zDjyHB2FdQ!YBe+mhjEH=i*Y)~PD6i(%ob)!8#L1PpmW`z!mauSXkUU(aR<#OUlQH| zmpdL*-tdHp(v0$4Z!5T~*qWrg=mQQ^-|~+QIl+*=ln(DoAZQ6sRAdbLLxe*2M7256 zlYelFag6bVar!&`)9xF|e*eKU=0D7fFZ({d-zANF9Cp*!wIF{S%o~H0gQ;fEJYe-p z^cBWtJ^1o#u_2ROp2Rz|imGH1o$7?<36{UAhph?B$Czg^|6+a>(eQjMXsAHa0jvvH z??PQpetT+Q3RoYeGtKp%QKH`y8Qr$3@8;l4;}l62NC)abHh8_03;wc8mNtfPz<2A! zFs7rXpeXik@>sMY?C1J^^cnIO!g_}FEnpjW9aZpl;{WQObhM1h!Mz?(sQ2Bz+1?xZ zF4tdC?nJ(CO-vgDRB|NUwCS}d(?|S>byo07Y1t3wNRm$T6!MrBw|K&1lSx%IQCE`g zCJzQ@kG*k0`9){6-}K89!lJJEjhuBPeSWQSbKUW%GsH|!)eNEeC#>&S_cM5+H|V0g zfvd-L+CIe(hV}=j#P@hY%Cm&6iYtC_VRD@2@lYM9kKn#|>$`GP7_4;u%_;Zu1EI&$ zms)=K!9B*!NZNU{pLaPg{7tegoY?hH+Ad;w#=%&oM8+ObZ+Nsz51Rnaq`Ja4La>u-3Qg*6?F~tKqOFi8_OX(0V zRYD*3AJHRNd|T^y+7%$;c+d+@4>UjgBF}Wb&>miV>-?U~?*gLy-^lJ-+LH8tNMQdv zv1Kb5+)l6V^Xy;WYi(7vUS0!R`1WnaG$o{f_|^N4cVkc=evTf=q(J!vw@sBL#zW14 zOD32q;FBf%Hn8}33O%{9cX?gJ7R`mXQFO4|gQNiaj~aUyDBgBke9I4G()Vo? z=-_j<(}X~2(ct-ZHsZFwcHX0UP5AJn@8n8{HS9dD$9`zS1sZwp3^S)%K_6|#jHam- zJjlJ8F|Zfyy?LB6)mn6itW$rM7w3`A7mw+E%<_f~wtPF*H|#|H`QZC5`Yu4+@xHxp z#gX*6Zhszp&+c{rA6xoajwNScE+BvNB-Q}(?%0*P4O_zP(lDP)9S;bvX1;Za75TUB zeCbz*@@wcd8R{g_^Jn1_=Xol34T#%NjN9em4c@*Lo%+7g zqjR&5vL@}@uxBB`5_TbIjnW@NjI8K)f4b2(9sSgX_M$3Go|MnD60ru}=tH}^tX<&T z>b`{qO?S8z|CwO&w?+GA_giO6wBasO63-tGWq8xt(!EUY4dct?g-p^~P=B{oR{Vh+ z5ybhoELhhNNu(XnDfU`yG5AA9@0R3OD~L zNk1slwQwjG4uGGj0+wIV{`FY*(m)T=v2E}F8gJqAfpyQD2G14kpy{0Lsny#)&~n=J zN6lqxC|gJzs!nzyy-x4e{Bs$!zo>uv?Cqcdt&_3}VxcQD~H!Kpu@}{PY$* zaIp8O(Cpp{by3Qi$NkYf>-S5KZXq9_bh_4cQM4z3>x8Z&#Jdyutcg86A?Xrh4@oIy zEI!=6;35~uwEM9m*!8V^n15~oaxrcrQfU5oOxv)^HpT*Yzsl!jy19W4(R);R75RPs zQ&%NbFC_-8(Ek2E`LsBH4d;ts|7`3JiT#i8em~w{!}HmA{s`Z%;qxQhAH~kAJugK* z=v=+?c_;Z%e^B)NvW+O(V_jswr!W-?OGR{V1JK+&=7lz0&30`)3s8KyO)C0^0`v>z zb5Wl2fy{-2p?)X_D9RQFX&PZ%cj8)*=adpYKbH#R$?z5Xap;&}{wsE!Fg zg8Y9j?2LK7a2V|iO?+T&Cp^KenqgV|a|p4CKO4~3W^o4M?Ypb-#58x%2)b;s$$lv=P++rMKJYk$lJvX>~WT(%6@QnEn^I}h7 zujy+e5BPQb>sQZx9wgo{ONuQ%%-{$T%Ptf*`?WxVD(;@4i42K%-bQ$4x(O%}QXY4m zU4@MZ%*U8#G5=zIb=#po$IK{A(gCasSnt}u@|&a_H3zH@E=9v%sboAM;S@#UQm+a0 z%u{gsYw?3tr0co+$r7-{&XV`y(H@Ae<7ezk&M zOHorRAMtkWc(FKiF>pj^@m6m+JDZ`0jA;|(TkpM|a&cFcCFshlS-#| zu3EtOD@QTIT8fBGO?)-dpbpFSQFc#uS`jt$ZQZri=EO7mvDw~YPKXf;teE~OOBiix zmRUUTg6zxbii$mK;CJQN{X#jk@A&`!{Yn!rG>v!7)p1`hi@Qu8_hBcJ$f{Y2n>!WcGql6C!#Sb}hMk&T6_HC$vJ2(#)jhWBy4 zJLD7J_ia2kNH^P5fJc-KZ(LQ@H0Iy@eLZ$VoAkY+MJuzI=8zv8T(A{7tpWp9*GAPt z4*-+@+0VNJ^`IzCw6fZn3o73*R;q=Ff!XAkfuklLv32aum_({ExL;TFt(p=eCS{qb zp1Wuhv(=|0UkQs5%&n@qIp`kc#{!?{HS~PR=*D!gMM)R%@1vfTjn2x)5=!QNM%l!g zLELuAUiOjW`apH|S-ytjnSgQca&}9-WOQE@T}q z`J1c)xNeFQyj>BkA;rMWu zX^IojsT}&yS&i~oRN@M|*DT=ZxYQeVRXtEM$eT>AvjO#wa)R#vlk2-cSxk0uFIYtC z>I=WM1G(q1EprZfa8@~QfBT>|P$yMI(j9Y!TLY~--Y|Osy^*xSmTd+gm>YZND|-Kt zdvEm$LapK2!x)pCC|hXsbB%lb*B+EqZ_*!CHiz9xfj>^oqFkMCujeuutx2yNxWHAT zgYKm{4S$;&1{i>W`IGbS)Eyv@o8!;t=PtnOck(TFnH5Zyouz0BNAD|l@5b~_2Vi`n zamS8X9qKRHn7lT0A=L?=S*d5u4Lx}NwKU(e<{&JL1|Ak)LpeP!MLo5r^od`SUlaCO z$-|ud<2TevrXX3E+ui&6AaQ3s>wc;uAA|(_O*h=5gPvdhx2_%^{rxPh!UaT}KIXuN zK7sRTasC?47s3A7*dG%6AL0FeyuXI$v+?{9zF))VN4P)IEHBCVVC)4OPOWqII}Z}N zZ`{YWNXQXIA1{~hKsmyg7bKquGlW>G5*NswZ`>D=A-waN_TH#4hxqZzdckl72zw+D z5#X#t;w7zx_(Gi%7C=|9amGN+9Xh|*4hTGFBKGL?6eT-L5p8YhQ}4R~ddpq*%-UFh z)oF&8E$fmk({=?HM1`+Pyowu8u zht?b{TRZ4^4Cv&RI>iGz@$9?|kp6-ad=l+0WovBd=fHzpVi+wDO% zA;nr`6hJATZqNBsb`a^RdYTUPnYg}XLu!WlSv`SrP(bw;y?IfrQ|1dHn z$$-i9n@iW9se!;*UX93T1Hd@NxWzavqVPCyVU!ob`tvlDYUGI<)(hYI_c=m%2Y*4B zrW6TpXD&7S39MMaz2`sb&xE7r*-W8}hfnK)FS|~5tf3$N|9-i6FY&-a7?Bshk+yO8jW1hwQi~05V$1=xKK1Gra zU|qm^7p#`>rDBIYNgs0T1u2UMjX|TDbK|oWs$<iq%>$ zcW0ZZKDsw)Cb(_=FS^3YcPn2LT@R9;VSQ8L4cd3uS?)jjmwn?}*9!81T#>7r?4fXn z-qlljH+vmHc;C4xYimsc>t>7wEssfqAz+=A(9&giWbRJV>7HgXpOH3ec-*Rd^*Wmw zVBNi3d2+EJ#{xc#C=c$P0phO8obtula*{q@yP#FAZEgX@i$Zcd=(z^#JJ$VdV-=|? z#P9Mq1($aJw1r1s**MymouMf%q22kN6RtdZ z;~4qb8xllbyIz44J1@a-Y7e*Xf(|jM7#y;mfbN_0Tlv%{bV&UQ?qdwe3O1e0>;dan zitj3wN}wAEPP171qy0_X_uzgfE%D{HW5_QjfG%(F2l8o?{AD@xcQ71gcTD|^5KROn z%J*Y`&V++1Z`2NX;b?T9B|Fz{?*`|-ul{jFKE^j}tG#~K#=wiMpVnf9LSUjx{}J1! zJg6qG=v~Y|LKDH zoX$9^K+m96b>T`Z>E}g}HMQ64Jz?m3xzHP*7$PuPm9Y%jh&k7(We>}PbpTY@x>xY%8C3eKOP?pHEXinhALus+( zRXd_DY^s~jEQ%1KGjYye+hTuN(t8;0Ioia2@yf95QBuRgZ6CHz^Azu&o4 z6F&VIOi;-6MtOtTEk{M1h}d?&e*5n-1g;yq8{^_HP!2>_N|fa7U@s^L;~3pb>jSN) zVs{^7bO)(0a&hT}1fupE`DYww&M!~^WX|#2(<~2} zhot@Fsb!%+KuBm8eG~-fv*dk$>I}+4Z*~sO*nmUQimuACCv==!Euj3PLl|&8DjW6> zLB6GQb2>P|d8*ZoVxTH$QSV5lA$Zufw7pmGCicG07X0wpkJ!&( zwSQgPgCGhnsCsim5-Tv9+wO^cR}C8|>{gI3rA=uN8U`#qoeT&(6}+*s3?*FnR@j+(YAn>8U0_w6K zs7oq^K-E6u##Qz>kP+JO;*1F<@zNaqEX_p^JLDT7x>%bL2I~^_3gzPIKp)qCdQ2z? z6zSw|wi^b+*qOI0ibmmJad=0W;A1=Bj*@E3`ibU;X*E*v(DQ<5UW768R&%Jk8Ff(< z?VGRJ}i*=xiuoa6j^)qLt7q%^O_CHQQzVl);~R1E)2N7e^T8n-7D@+(0VY4 zTKq=)rDl;Y<1FGJP4lxv+gun>k$v8C1nmVF^JVVbK>kYGt{%DCHxxqR9fo$T6goY0 zPx%jyaz@@$52N#)fYB9YG8b>CrC75uGtz>otBv)c4_pD`6yp}-^trZ?>e*gr2vt*8 z{5{|Y{2z+UG>+JU>bCLKvA}TTC;Gp5(_)}rw0&j(6RhONL+Txf0;*5Z4+I0@)L0&e zC=)tYB0OUfnEZhHI1}IhTm3y^{~tVK{=>W&SIgYL zlH&(tOoh9k@L%3ooTyk3E^vcxYpbneCLV;ptz1veSyuw{4%dQQyF*emQE+%Si^TmD z0`oEES!ybdEFy^@r*>f;cTbX@VSW45@-2mT z--^cn)xX+Vg+0r=^gzf%{M7?iO~^HyoL!+;As9Zh`p7b=lXO!oj9o(@GzhTHy5|@2 zk_kit*6I0s8^6ANwSz;GyEb2jX_0jIY_bcHP^1a1{PPdCTUrqkEe!9g>T*f?%#|C| zIe0@0SbPi*M4Na5)_1J?A2%H+Pp#>LjtblA`KRu1t?ilW{wfu4Kh>a6y6gdebgA#p zu@;f~h*Gjv39DeVZ(m?@`&ACgZ*UM0ZL*Gn9eW;`uicM<9pCKOdzt-Vgm-I=cupj6 zggYtkpS3JWFOND0q-S>U(g%!@bAWaa=46E*h{N zWz9cifF;WKDoI&n~^+B+SNTsQUpM4Jh5@`;r3@wVwe86~y8WI3(ReK&K6-m17}@>Qf0AfK z?7!bpAjA<5GuFKWVl@BG-Fyn|3)qHoh0NWbx4z-bBJ~BVa?vGT9I?>ac-LjoJ&^Eq z{w`aH{Czu%7mJRz`GL>8#hEDNBXgmrJZ(J33*_Sro35Pp1j#IUP4c%9#0MpvF6muy z#B84FIj#GaM9ZA|4*r${Fea_jvTEW;?4uM}zu=KTbS>X%%lYL6!V&?-p93R6<=l6Q z*ssAL>`d{oiZ%wU(i)!Yltz)hS3nJCw#@J6Wors72{&Pk-0ja>E_2+I{bPSyKl`0r; zPlr~CjfJqJ7-G@Uj%|;WFWlCC)TmdA{G$K=zh7y+Qu@$!$ODeGT8V@N2LsbCJepQi=PwG9!HqeenY=#7!`e@qHYjL%zJoT{n!uz!>&6Z zpxK(Rd;jbUYm_|*njQ`PId4mh>zw?{ejy&^hQ$@wqFmFs)XqRRDr$IIa=uvTWH9mk zo0HsSxj1I`XvXi3PDuiorVOY%StpS-&J606AIj_fjE$2K88{N6OUE@OmbMpK`$q`GD%j9^7t_nCmp%+i8tGx%lCo>fmf=7{FFXfIrpf{uY{>Cv2 zn5_*dDfE#a!9V%5IDZZ2i(vn3><@|kkMMp!-e1G>*?9g4->>2GBitX2ca@RtYc2w} zeRl8PWMl#6g^Fa2t&gV< z&9>7Nu8FX09QCzJFcdtmN&Xp`^Mbnizxn-W|M91kO|sb0bO_VmCL}x-3-^(i<1#+*u2bp%F zxnpU))MKrtz*xHZ<6*uo;QDsBBDCeSt`jk#=dofZm5%Zcu6?Me&x9V|u?2tbB+xZy zz5OLJ9uk;D-3B+4VNq~<*JE~ov}Ipp`WoBDp7 z1Db{d7lp=Ksq(*SFgA6|p7}1RoVwv{5#J`55yo=3mUOV*)|?8!dVy9l*MP z^=@9|kzi=09Z4U4`RG$Lu*N{cN?-7R(Lqqv`WCjkF_I|epbsa%9!~h|v1fTU>`hc8 z9_zHLFeOxs7KW~|CJ>U9(aO8$y-0e7^=&MM_R5(;j{oQ%Z(!Nh=Kf$X9(mUWHep~Y z*;}0Aj_zk$Vk;hTp`7P`bhG+8yWy4m6u>$=9w!x&yd@K`POrs?-juEghj`hoiVfcb zNV>}}yS#A2D-bSI?om1;E(5FO?EA;Hvq<`!y?vM`5czq{A30&Mfbw#%zGK~Y+H1BLBtMFi<}OWv zEA)P)Tv^D+>?_b-7SDjrRfRpq=($0pDdhR^mNeMS$HCdN8BXd~a37NsY2Rty77tjz zY_4vOTs#vAhtE7dpy;1R>U(g%;};VWIm?gcv-zKJ3HC?B-j?eDtCnbQn_c?%(&t3r zSDLTX&P+!8rkl%aQ7J&_e!fBIW(4dBiSJL{OoFACWi07PKQh>}QunvSfYh~zZ_QfK zoa9~2+I|thqO&0uII+yyGP=ng_~pK_k(})(!%K% zf<7RhMebkEwkoltkop3bL2t&{pcuHlqtv7NLI9!mnb&>eUfkKBnEisr4D70S zH-22EA_)1t9vxiX#I#hQNIos{`Q>-rvW{{wRjS_0%oYU#QU8%PMg-+s4xHflb2ymv zz4~41O?A=^!d1hs&AoMG1oelDH@CX!L%HxkcP)BOGhjK&pN8_UJ?`hb%{~o+7ay;* z-H8c@N>00(;ra-8Z~Eq{oN^3Q552s#%oYjvXpH)5a${h0>BWu%*`5SNys4z*d6dU` z;N3k#@qd3$GycbYvyt!hQpTWAd2KK(JY@IZH}3=N69+U#cmm*%r_o6V%V041yVF`X z*&qI<$#mK{MZukl>_L})AJ|4-B)JRuK`gQNe&+j8(FI_^DG|Fq~Z|U;3Li6OfZU)&Nyfacy0!C#E?#;Ks(5@pZto%PY zLHYVKb-Ll8?z6H|!y8Q8HX3f+pbUWXTt?bT8%`i2d7zaO`9a3%oKy&_P=U0|XJ7iE z{PRRNnKOE`$bbAOeSzk4EAVii;25YhCDMK|dUvRr5usrouHsD*P}!BCz_4pSNPj7M z%=Xroh~KQvEB-_Y8WQ*?)`pTGZR&yECmTH3f#it1CD zjFO=)7|yHM2(RgYpVy(SS6A7}G$_$kX3~}P0L3PX!*iR7?(Ie2XnxJZgDJVU(Xb}ciaIIf8G8Q^EU$M%~2u` zO9-j1Y+gKxA(qj;JBymlKDT6el2AKxBq zQr}b>i-fV%vH%ysNQm$r@R3LP(U_OK^yK)O-h{wjWx>)Wl&i-!V_~I&`dv0bT94nm zV&Ul4MdJyr7>J!bOv_e|a^)B&SnoszfbGW0tL5?-py-pS`h#*Zj~fL{T@mqtV`DMD zxsB0(fA}K$1zQ|wjLBw3wM9Ug%7we5L@d9T0e?n;H7s%ZSer&7v^bq8HE@qml)mKz#d8B9sV>C?ZhLI zfN|s@U8V146bu~m{aU|oq5N|T)`}dIr=jDwfx;J&kM%z|#kj>d?Vs*;HE!^N*Q;sb zGulD0{;cwD;VQ}_BKpGl=p#sYlZg4a>S*f^<1Qzt7SP^q&l$U`t>|3Nq{QR1os=JV zM83K*tP}yaFJBLS#}ENhxrqnrgThF-#W==z!g$+pYuhbLbT0UR@r?No^WyxAYQ1FS z*G_%yub|;d2#Gg(w9`0-4E*81OK;u-za`Lov4u`Phd61JlszFSN=34nE0I!($m z%R7~%)Ag%7!FkAcE=J^A;n0V0lJ559F4?TOM}RncsP2c`9u*6M?HPtxClR9!+6ZvTAe0qIfwmKd%1h?F%L^?NKv#=}ubu4fe zJ{n}43?}s}xQ`j$)p}L6Fb1%G85<;SbcaTPq%@b$I65cBeGl$;oU5O1^q}0Bfx;So zk6Va0I7Z z>pKc~YCL+a^)?tgtIBkfA#r!OVLpAN!6aDN!mgC%0 zb~OpAl5eJ5PEH4B!F#2YM^m9tY&iVaS|V&b&~`n0IT79{_i=6S@*=KwB@T{n^CJ!f zo*Af(QG(+g(u+otWgr{MftQ{>r zVBB!nPV~RiC5aYPFP6Rb>F+y7BKb z?7n#^9dewh)O1BruKdYCmgr5CTOcoStb!^5iazu_WO{cH`cg#WbWndKa@13K$S4t7 z&h+*l=12ir_B)sR)^`)Jw0-w}Ct%(l;zyIvf zwk7Ia)~Ft4dqW^sH625}B5aIuvy2T{5lq{!QmAC?Cv-U^69!T4r+$z?YOgao&*!_& z?)KanMxUh3t62rZ()gdu$r&$L68-gP49&G)pucpwVkrvt9pqTK2!1dTb!uV*<=`S%ErKxNRPJ34Msp!U`C0olAm(*;NiwS&>2;Z$9Ia!;3Gn!77Nc?B zJ|a=v&?(Ntgy^W2kp4OqOptY*pJF^n1<_B#ckIk|C;CdxHj#OGL2z_RDZ#r<}FN`xaI@S0rA z7L-F4af;1yU!nDYIBDN{KG+2<`qXGAy|9D9tl`_PoOhExCrmX7HcxdOm6%L`@%M#|o{91B`MQ_-?;FwJoW-YySgHP;A;W@#5a*R_*nd^Ej2n7#0PJ`Ic&@fcOL}^_?6S6l7)%E=e!K0I?12E z^nA(1A4wc(ls}r~2;q;Fw9d-tBL;R>d*f&xG~X|FZE!<}RNwtsn~V-gs%W3-jl~P% z{@~5EY0=*i3KC*7Nh7J)e^~k9o~JTCkal_Cq~>ZMB=aqa&znJo zjxyhKvu5HPIMLCP#a{zKKzp(8Qn0fg>|9Nh;F|X$;grBFfm4y>{59Rr_<7KxdwN5~ z9ll;Iyt}l^6}H!6jlJMp+a`AHAfD^1)FDlzeyC8|=>nQ=^?(n;Q>v=U13s`-I zWLFG)z&pn1yNR_2ya}hdDynjXgj)i~1fB?-(uJ$1UlDQrA3PKMN8-ieU&~A{a6adb zkb?>NE+pP~b}*dpiKZ=dO&)4-)u%%o)eha=tpbSPoiKAju7&gV=$pmY@8e@Gh~Q&_ zX9@l#_*KLxM-d_{5upQwE)aTWe=?Hi$-8ipJ~$l}{o-8c0Y5!lo?J>~K;{N=krKbH zP|~M7`jJO+Xpok+P$E|i#f#M~uB`2cXU1(g9~^?vbn^OpQA=}@o)P-yxp$+TLR9a6 z^v`@>c}vjSXz&hulQ^Fo3p?tXyk0CuL1>-9z;l{-l5XM!pQWLa6d-i=<*1WKKW7?A zr$3*oKbUPB3--GuN0j5^NV;o0v|noh`?WgM#Z(@%jE1jaOu6U$;}D_GBi&PmgDmk- zD}6QYIX>Sc^qtWCFESgcvW2m5e)~jr|IIkKuX)AXZc7Y^zh=9!y(7JmNybqo7D%(c)*%A>v_~kKF>N^hR)lSB2+lK`Cvd{9J@h815(k*Qr_s1F%PN&N=9210qAZi^$JvP)) z-s*TEmlvc~cFuEp;d>$LzS||_&7C`k9&(jj*@ym8?64c#?~XXf#u9^8r$^{`8{0V>yG<(42RXjd&&zH>_(+y#@yqF=f~yN+7m5SJG8 zhnS^lrC6c)A&!YzCw|~v&q%3qumN#S%|&rCO~~royzN;fjflFTxZ#*kYv~Ht9HNIy zSg-};sGsB_*fA-{r<8ZI5ow)I^G1Rldasys z>KLQ9^iMqJ-#7#P+kyK9E2gL|oIBGUoR^duglZ?+@ViTHuc zA?Z?l4rsrh@shk2)GvNw77%cSlcCXXn@!xo6_HE5yln^(Z#n+D3wy&obHi?GgCpR6 zblQhK+XYOm-RT`N+(~uyAlXSvTPX~B$-bx*;`>DR*0=j+d2x=GHJb>H1Ma79Q~KMw zdjRM6$l-DuU+C2Ae{Le;2XX)MX^H$bB432?&nEmK3I8Kvzn|D&Bj&S-`6J?fjW|Cd zc)@A*CiipPC#5ypJlL(bF42X4zQaAksrFJ{dZmhz}*#98q^u1WOwd7O`4JZn{K{l*2D z*baLe*egKNZl~Kxt}4Jm8`&mY;|ij3yu5p~ePQ>yo*V5|CrD^sJ^H7|6&hMY4_fki zz|f!x`TGhZaEGcFT#ON*vGaO92kuMWUhRu*a`%DlAzOFFHn_kKc_D3|>v+G9{8z7J zxfOb_alYxd9Y471Z*q-Z*Cf?RwA*3rFYk^ZgMDpj1M7mI%JsT`)s7hzoh&PqeJFt{ zhUqC8jATgl-P8TJa5m2lQEZI7e7NZYtQ55!d(!-Xp|aB9Jq6xp&EkFc&D0G>Xol*y zYq`T@Q*~@YvLlIit|!hKG06{J4DcEM~fEj)exMd#)_ zT_A8u;FiEC1)Y6fQLzzx?5o}1USSUt;N!l;|c`cJOdk?D<>I{6|3&% zHGO;ZG$*NJd!s#Aosr?YZDkI0d55{Fzgt2PnWTx`CkN=EXD!H!!+rz*a7*Brz!QPD z@6Y=cc%Nwg51tABBX}`u>(2cijo4pgPC~G4ryYqm7}G^0*-G`GxbJk}RE`tM;^JZ0 zW^IQE-jRLUlMzN9glI&69(`LBi3mO>c$VN_f?qei+2}v&YLRq+&;>&8rUrFHTP1Bt z`k-~-N`AQi5l~Z(O?%zWjW&15#=a==Ml1;teI)^&h=(ko*^<%$QJN?p-JxWL-cU{A z^x8l~t9JXEkGUgB&j@{!qKi*SFkI>UZ~e>u6qV+Xssd;2)Q0KFgM+GhZhe*B&^Px*n+-JOh5;|NK> z&!V^Q=hh7n6&g~?b!8>#bA08A&vn0~V3(^1)5=LRAoQKkebc@&jx#;t@KAXsG-b#P zTA8Z~lw`KRr^6n;BFC(O-8tAc&B2P)N4#(-`e4ED4$llrs|*s{K$_-rv1+pieA>I6 zto5-soO6bhElKw9o_soijM)R{mOb@-Fm6HWSBO65L9tLIjj25l`gQ8=wvihqMnKjB zUn}r^Jkj?M{Z5#n`AtCvK6sp>y^S_X188GU7@Xo!f=PdxoU0V3V6}sPyzztrlt*4; zY7{sOY2VKp&g?$`Gg52{it36^0+G*lU&I{sJ+XrF{>-}_CC$o}8Y?_`RVTB(dWddMI5H;K59 zKli`avlv*o+nvP0vyE?#^{XA4aJkNr$Gg~B>?LZ@;ku@#ZE8|h`cedTwGSupEYqX> z^ZG*l<-gT3_`CJYZB)^gbKkG5iR+-WjG}wu@8uDNtM|`PIaUOeZZuzuWzZu@n;Scx z>mof7%aJv=q0T0ox(&WuNnpNP;&Hu40Gw}bNtoGt7;e;VCXQ&zl0Mh8)z$0yP2y-X zF(bm4RSfB*9GVPFK7h7ueiZnaxeXo8Y*h zLNLRX0}0n`o5|PZgYS_M&yL_dM4{_>%&Izk@N?Ox$-(siWVsBl2iW~m^Nw0N{w-Y` zBA>~pFX}F-;q&iwvcpWM%0pFFuvh^;%HK=sWTXP2j%%;3J(NPdc@+s{ON@xV-rRF& zm={Xl?Op*hZFF>FRh`FB5D|5=?~~|K4*s6Z>TlF|lZiu|n!fUx7$LARb3Mm!cTG)( zqFJer*8!D;emd}!Od01*fA#IPkwNXU+2cWLyHKB6&Mu*4B@}z(Yl+kr8IWFK`16VJ zAhaYqFCSo%M662^=atM3BOgy8$}$60v|ML@-bzpiI=tHI)Juer3csq)5np|jdb;jf z1-k-rAs?3rh6a2;Ck7Da6{I z*3&yK50uVdub;^3?d%IbpEdGfQ7we}`lri*+^}zqdr)p%0uAik+85p~33q7IP8az~ zqLYmQdyL$85b?eXeYZrv4lBbib#>m_TeK+9tol~vJ3zH^pSvf?wa^w?3%lq&D#&_n zx1BY;E^<4xtkS+u6RP#)4z69%falrE8D`!>q&f-T;)fa^=z`Q4rV>F$Zm=?Q^bsFc zfP!}E%|-?64|e2Kz4ov;Sa7TBj8STW#jBwhT2pM_7A($1FQYrpz z2-|luh+RCV3Hh$lJ-VgB;GN)Tbw5P`IFI`)uKrX2H9JxH(hp1kJW{&i$QqnBTvXl) zX~LHstz;AYTHur<&V1KP9uEAm8Od~1#B+|ZtP<3!i2Lcb!ks(0AbnuuL)=b5Qk@hD zqs-Uh zd_TqYfkFbxT^i2a=M;u&`Uej`O>cHq8{beb#lC_BP6^x+I2CDaZTVWo4f0P)*Ge^& z!4K5Qv#7szQr|YWSg%q60&lWHr`#@WZb!~dyADsYDWFRjqy)fP9ieW92nD*hM4Jpnp{e2;34lCh$byO(4d#I)wAH+JEDj;6H*FyH0c8T8xzf z-DkU!8mc5nyz!>{Xu;ZFKDhCzE7Wa41$C={B>(uZL(2fIw^36%_u)R} zA0HDuOYkqjuVp?D881KOBk2I43xwWn8Q9u5b6%RH568S)9#LPE25bKNOiN0KP+sNN zkjg-9lrrvtmQ~czz3xXWf=A@gLqCx-Q~d(y=+sF&9y0@UMJuXnR2uK8{nIl--{Mb| zqmSPh{zw1h>C~goyurD3?f3SJ?vO<8H=^wCZB<0t%~Hi4YfN~a?f=)!%X#|yS9QgK z(AmZlC-_7s6@k#{&GFyMWo2K~8h*bhO=UlT2;EKbQqr8E+KSSD#XS4m%8S0$Q!5oV z`;zpTyEXIpbIsMxg$v}=TfXBw&wu((=>DcUB|~lEK@{-4cj>Jt3#^H3T)kexhn~`Y zcdFOfN+K%!`e^MV|87HrItrqtUT&}eGuO)z~{K^v}30)ZQ$nOmd)`c(P*5QY$ zq=4M(!Z)oHHMnr#-BHBLN$OXKK1QlK&2n-JFA)0WvZs===ZY{4{LJ1w=cYmGdx(A~ zh&K4a5$v;bvn=eDbUL1Qw}J5LKS98iEKaX#69&1jFPXEahQhm}cYEt7!hq_4xXYM~ z8+g45Ih0-(2A(D<2cBLCfq>xgr6CD_NcR)2tui%+?x!5gu3MDBEXdr+hntCXj^2J< zkm)9w2^8<^*puCcbE=oQW!3RM5840w`JLQ%d??Fs(jLA!zxq1U6-s(NCg4T>^;S=) z@?h(~&z*$kTSJcK+F*a3&XNA_(#{~`V7~>9;eAQ#FN;ci0uzSuPJPvaz zd(h(FXYTa09sALE+&ub8F5Vrk7DujW&^ePn7er~^v6T~oqr*d1`c=xPJp8GLs<1rJ zAFaBu^^PT+7Y>`hDud^$U%$)VK#pMbwS8Idh#NGk{!;AE@&k&h82tx$9+5NY!_3BQ z?8o-#l8kgD-t%ETW>9Ehhq^5Izuj7K0-l6J8(*>i<^TJd@O_`qC(}z_GER`z%R2ZY z*$r|;1--P}&0y_{EGTo?!{v?3W{0pJ%#N1!mUDhiutTVyj55&&@_Ts2U*E8YK-HT?@KFb^CxBcC9bcYVySoc}nI2Q=x7lOB(XV-s|EAD_Mm4Rk`MJ3i|exEK)7`BzDrwy0|--u*`44Igs>Jq!w0M`P$O$; zBHUsLgHvK|(Re>~R{UhCgNPLz@9dUvH}Zzv#==2b`o5&P+Q~51X!;t@`Gz&hjWmRV zwHQVIY-|XSOEwzN3HyN|qeEfcIe+-J^zrYdE=jS ztT4UdQsD=~!?!G=^PMi<6!XlruAl?2)- z_2>8;s=0xVMIGR~9b3qo3l=c5`%yt(jX4nY9bP}}Rav6~KiC8gPwfwYYE`zkDJA&- z|5Gezd%rJ;E%iCid3xgKT7UDZ+CaE*XLq=4qaTTP%Bh7V6EwYnz)`Mk*mQLW-uwD? zeVxtI1J3JYDJpQ8!IpV$tsgiKn!qW6TLP!lVy#kdS8ag4fc9KkiVN(!8PyjO>jB4S z4s3qG{!|3sXv6NFQwep1idS3J%xHN~o(LPwCieAocq113133Wm%Z9E`XMJIug~czH z&KKH}4Kzguv9H-b+!8n@@I>G=Bf4qgd8X(8;F;h*f)|~{#;olPy+M2IPHQKX7l}98 zBI%0%K5zmSUrjfhPK@?he0MTbQ9=aoXy)A0nd@~yFRI@?N)Yx(1RoPTOYkqjuU-0F zL3A>lh|mE-7YMzx{q87c1yn&8Z^3VKX;oId_NbwYKyl=0`I?iw_n=WvanI=&aMx2GMO~c)snQPSdUG zpD9W4gw`SB{Ptm2lI}7lKApU^%N;uFmhZaJO8~P*fAuMilO%nXO4u%6BI*aDoFEeIlS7B z`?48o-SZg^Q0Dde(%%$q5F;ydIXa{PS|6XSJq~n7?>CP0piwUrXjM@!`4G_DM+#jl z0S(ABNj@iQtc}V?la|l2_@hdXQB$1)oX;|to45GM6_S^7GJC3=;aQ`=HYq&!apol1 z5n(|$(&w@X-{>7-*Fqa(oIx&U&C%QQw6`;Tn4#;cUzf125$yMwwy^ZT{<4f6)q(Gi zz@_e>QzMw~)rTkBm3{?-Z;;}n>CoEij*{}x`EPd zbalnn1~?|_Z#}y21+;aH@d?;J^GMoE-eVbccy-&g^a^hfyzW0aRxXeCrhgj^5Az;I z5mmAjf3{rDcHz#iF2hDm zG)!@9z5FiTi?2)g=r`dCE&gKkzK9)$6S=IVrybGF!^IPGT6XyVKGyxX!5h-|FVM|y zS3%jGMl@+>15sz#irT&m9kl89@ZlXx#1-23>=khyDc0gz@^m2ZO-2tI8R9K zGPN;>BUM7N#me|x7nLNRXb6S&1C+1F3Z3DuVvRxccLy-#?x!8VK94^2Vf-T^T#$HY zT*vK30OU{$|DlLn?@SJwfxpg%r1vpsr0UEYMu0DLc>jHD3X;s~_m=Kiq7PS&s95iC zK+kk9JU8BMfw&9Z&X(x;Ao`OjUuu>^V2yI*)b+;!5L24d>|x1p=;({d?yhx!>0O$q4}1#;ONEn50xg(_RG!K|r3ir6 z8Y^YBVd12@>TK@3`-(jg@_K8Zik`%Ix`ke^9`eLNXzUT0rETHBd91r;`?Vl=P}jRf z^=3FQD~~Q76^{V>z}-7#j=MqT>nmPo*h1h;;P5d?;SeD5X^H$bB432?&nEmK3I8Kv zzn|D&Bj&RSULfw*i1Q<&Kgu(vq~wZ=fd`*G#aoyD!%IDFZ5ONM-GEB_e24<>YuGal zi`d^L;`_FQ-pE(JAQka@@VciTi0ZUabzH}}h?^RF+wgN$n!AkI?*;4|uu92l>ww{r(6D@*ulRbt(#+4sqG`JNd(kH_NjuyjK!$yTx?tsyzCoJpQNZ zp#_Yl{_*G!#y%|n>g3m<-22OZs%Uoas?k1PClI@8~qc$TWCGl_`f``S8MQS^X{?7*!TY$SLreAb6LUttTU`QfP}Ya<6Jj+nyp}dthg_!Qx~Or zsJh1e_Jw0pOaVd`&d_e%RXT>}r@j}Qy_q=Y4^uQbbRGphB-|1>Ch$bylw7>v^w$OK zv-w|mCisuwMW&qZveDVzP{~vF)O*&8#2e2ShDPp6x`3z78;w3kOJr1Wb>fVV1tNH7 zQJN~2TP6@)X{PPGArXlPJ|=jU;9r7Y**b4j8x<>&bb!zWLhl?MDwp28KTOgGlix){ zo-01!_vY!0ma#aXzlA4e%REp&O~S=%11^a2P1{q5w??y-Pii!eN}>0u0-h@hK8TZy z?fB&wbCRAB`j+rYEH~xGPqqKnKe_NSCLKKssEE78JzQ=L`7N?KJ|}r#CH;5*0EZe$ zHy2AyH5!?)FZw^7y{6CGw2pa((CKqGsIK<1JHggQN0W!x?~u^lX|@rS#VHF&OE_H{ z%%X>4UhOFCQ9MV|=k+qvtFCDl@H~lqcl}Ge@BL5T3EekPqp%gdj^_`YCcr7u1E|Sm z-qWsHz*P=6M_%lAJ=-)p^F!XN)#Q~390l2?(b!VUpgQtcG-xij` z!KTjg53sodWF{z2;eDTumm}li+pI|a3em?rdM+vE8{q?leu-_%=KrJZ4a-`(&#Ukp z7t!|+{muXt$BmsQEn&f4Il2Fy2NY=CRSqq7htZ+<-(%Q^WsHt#NvPQa{tUhddvx6! z4sbHbuV)xSV!_dL9h}GcOqcD+TBR3^E+jXwv$_GLsYBfD9wYSap8Vi~g%z4Ed-&Jr zl?Ec_FoO=Va|53cNIJZenc1*`tEZ+9Ey(|8?uMz*Q+{!qDv&XRUEJ91N9qgc&L0uU zVz7XXd%GkOzhoVk3)Fe{AMDjX2ut(a zuS7mtBa3@m>nlsF(cXp9<%3_w)t+QejIW*6g6Z}k+dS(7=$Yt-^9u(DbZ_?2o@r$h z$dbG0uY~>2j*-_qm0+=g>B^$s(Ms(5`8;Ni<|zx(=Q=@?vF|Ud1R6}-H`K9B3%zgn z-mtnu6i!jCP33Xu0qt?MR0Zr~%3Yo>e(tU@(4?xaZd6#q{B2t=e|t}8=es}j#orSu zsy@(B2;1W4V!gke!@h7QXyP@Tu|)OelwU=USU^dykFiUM73uG4Nx0wcTU5un23A>0 z8m`sNz2w+;{r(UuccJS@~6&Qh3jUjmmJ_uGjIKHvK`2GEL2pjD}vm8 z#*F)9x~QhL=T+byEi@<7SL9mi0{oYvnVf%YLkic zQFK0i$_=W#$Z1aVx|8bUTl=ykD)fWvP8KWiHddhIV|Q=#vj;5OELUx+_(0W|xeT+q z1^gn9iTW9g_c3W0TkK?9Ak;LbHv-SoY%<+UJ zifw!J@VTz?xWmPeqzF{ zBiDyLNxU>K`DcGRo;P_f%4C;p=7o7g;Trp~F!1{OW;mJJ3H)A)y81nK0kuK{ABKk> zAg+Wd+)XOhn>H6}sYE_K@xjZK^e?PD+MGTWy0Spoj0K#pnAt zfBNsP4=J$#w)*LX;W$5t>O!el>oU$u`&ZwiPd7U0g1L~z#a>H(%*W3yj<4K%B;I*g)#ujN;R*zfb{5RJp0>3FM)XyPrA0y=@5}DJ=&X-@I~U?dw^j|f!LC^5hJEDj z*!L0MU#fH^;g-NLfhPi|`e!<`>rEa02hRlm5xjUv`H0)vlrxlaFnhZNI+J*#@ag9W z-&`BmS7Fa)B?PE0hc@U-kUAoGr$T9fS@@45(&}O0|1If_2tFowmf&B4U#*Q+ucnqC zAn5?13xwW@&vJg6UlbwfL&tf2e+E29H+nFzWJjL@y!>_conwF{5)@|2dUwkdIoz8N zk)hT`Y4N5a6THFO->bF#6~ZJvBlPWue1T*j=vE0MIlQ0FeXMf)T^yXWUfSGS6$_J8OE#Co z!(ghpxBbQ;V|YU0@@CR*8`|W2UB*YJhlo8D{+7EheQs%>af374a>_BUc-|dtulrBm zagx&G=0ogrn{dcN!f7#%)E6wDyBbRQ&>uEfcCr$-2vkkq zsj0v01$T-MFU_B|gu@44l|7oZ!2U7gF}t65Bb}c%_kCOf(df>cRF-OW#A4FZ#CgRC z6n)3@_pR$7N6L7mqNNa&``+hn;Di%&vxlA)i1&q_wCgFx3|`>Q`ZM8JTnG&H1b&cD z{!jmQRjWhH!O#fj?i${d7PCgS>*;+5Pvd;5m(Q*o=&*&K$3AAXHDI64xra_AnHZ;Z ziu$y!z93|u<2N%M1}0~-88R+Jf$tQr>iUR3#LX5Jzif+vchp(Kub=oMa)*GcWjt$FKScf7_|_UZ(A?PESE*+Y`RRl7)BAkDxJ1qA zU8Xy9J+C=o(H9IZ`w}K25}iTyaS~sfpFIQ&^gCzXjew?)uf`lz+<=_=@Ada*H4)4C zM@>wDIOlFO?>VndAl%Y*Z~v&}hUey+Wf}rBfvB5lT{nMq?0YeKGd_E03i}F3JU*c2 z6$I@^0a4evgFxG7SNGU7GmN5itqjG@-bNW?|?+9A47;H;xch`;0oF@=w7q9_f(e&j}muwpRqO^50l#yi1G zQDwq`73`DjYS-gy9Sd)Np|5ROZVHu%Frm9X&%O zp?A&#@8fa4_b&}Xy=l+SO6y_2KTflQlHUX2r^sZ|c4nLp_peUwHE;b*85<3zt506G z40}L%PfE_WGuX%Kt=ZD(I9TW=&6qJUNNcprx zE+mnAMELp>zO{re8?oO{@B*@Y0iQd#;J#=Q*E#ezk${NTB<3 zP_F==?>u*K8NMJC3cFJ|H>fniAkNHV|CPQ7xOi~O5A@6lO6HxmyfF%cEqvy)8~!*S zF87|__jV_^B{duL$2$y~8GFCC{f>ec_a3KFTnPrh;T$Oo(QtfDHG78Vek6>oavY#7 z@&=LOymd4F4EU5NnB*Q83n}%~!4ICqgT2*uF4 z)3eua$`2;H1G$p;il{I?zq&w<)WY$3cqGF@@|Q3Y-nK0~vs{UAfrlTxPSoUSqX_RL zS*rUX&@C54^`*fJF09dqh#7|fTf;6_&-73jZf*Avr@%fv|8Ps-n7|W((@#^}BmO@; z{|Cc%{>H~U84i4w1Y^z(Qg+`+m82;9fEFY^x<=)AF8j@cs48$!8;6t znHy?*!jO@YRN?YKJRZfW~ZX@b#L?>AqDy^)e|;o$IBPsC^}+#0KAhiZaq3U=zqB91;?8m84iROKZw zsb_3O(lbKePD+@?j=W&~AN@OK*szuRg9}{bFX$v2!9ET`l|BtNdLV3*yYfj9@3s8X z&9DP%4oPa^KNGb_KxgG=VMC z3eK>4FpgQxH5iy;OfP0foF?@VsW;M2zUhpH{tLD4kIW*#N44Ehj^@73gLU&?ze4me^vgU?25yD`pId(eJ#di{?3If&HS(vvqC1`{U_>Yf@>!HaZrE4WWhxk`{!A0tv+sw=b8T0SwF6f0Ai1~ z*lKN-aWD1(*fv#BB!JJ!J!vwEux|s||NHr!Jf?ZKySFtSTuyEsbFxb$z23axGwJRU z4|xjHSxctLXs1%^&C-H6s0ekLIq@?Y=p-}5Sl`CNpHS_xs8eyE0o}XSOk=_4<+D1b z^uwr1Xkp@xuq1eyajdbLxq{l-UbAd-0hp-YKQHhG?|UrHDSPjA0^P2nf}rbuV33*8 z7Ov+BJ=7Qd)6=8Mmh!mOUEsKvveKV4SPHS9wtrz6t&#{+H{*Iq2$;sR2OM#sWO z?D{3{1`5aJtRG+c&%N7nRtNgx6c1+~ISz(no}LYS zy6`eS9t3F2o`jXh!S^4f6x2(;kc#?uO!6K9ZzesShzDV?^`Mr3siQaOrrwhZl#T-D z+zGDi%R%t*n#HXxc&=#9?^oUzKLr@bjj#seM8M6dt7R=bOamTociIviscN@^mt>oQ938?E7U z?`q*FqcO-QGi&uWy2JQ(b4dey??nGrSlV~L8-%=D1pRp%s21d>P`>N~WoN~!#!LfX z^vgMWvk6al{cYiv&Q(9){f&m!`UBweNu{gZaeXsSxlmu5dg_0f>BBB7cp@7a{z!34ch!|A^oPVtvMG$`prF zG&D4hETWyUusG>^)15L7Vr;x^Uz~~uUwUq*={DF;;G#{udWH*3MjCdoy-|nY?&c}mMmbWQoSu7s(f0ab^iWVZiryUe z!?Z6pA6(jxyuQ8M8eUWD7ANbB<>S07G-^I z_J#bJJBlIRGxPS5S z3lkFF6uNJYN>6%$VSbEe6TK7+T#Hi<9kPd&?IMgfs0?7mf@wt+=a}L(SN`{MSkI}V zVs|(lA>o$5F@Yxnr&>DK*XwYf^xt?U_>bU4zP0mH%Q$~@bmyB|g)g=w-iWrAuoz~w zhqHTitghR;fP&8?@5~!(67Te6IEDU%~Q~?n> zKjMYd(#E^sZ~X|LxM zbKtQkYxcwWfL~LJz9Vf8poBYl5}mz-OW@vb6KP!34XdC9m}JL#`(QYXEQ>JN&5WeUAx60o_J9B6)Zh>ArT0DCv^Wn z?%|k5y?FRyB4n677Yn7>XkhUFd}CyD27j+$AAxWk#^%W)MD!80fjj1Qe(;BfS8r~_ z(t5%6mDp)tZg&WtnOVN}+70M}(_QB9|4TM&=QZIK4>&Cp9dlU;^V+|Dh3I28GTlN= z@%W#JLr2VFM#I~AFf1QPilPBxiD zz@z86Rva&bK|0W)s08OA51q;y-gplvE#IW(|eH zP>pMn(T`M8KeE;KacjdPe7^K)w&o$V54u9#XPZ|S3SXY&RX?_h0rjE>?^^YvVTMv7 z|J5Gs=f8Y}%9s-S_dDM{>k<)y3RA!4ecud0$(%hd*H*>B%Z>h)frA-(GVoFQkexZ& z>Lm1xAu|xYS-x{Q;I{|32UVytVZDj@SjezT$qg*mZZFT5xWlc#Jxvoc|2fwYFzu$f zvcngqd30M?laD|`nfW$`99`rz;Td;=LKl)sOD%rVdBM&{#pfcwM#0r_XZhQqvA`a6 z@k?-U7@RsD{8k^IH@V$XmadwJ19Z;!FfhO8yq%aA>K~dBs&I6IRl3r2q5S{! zXPadC=iQv5z|q2mcUlbhnG`V&15RN;@%v*9`Va|eJ#Y7~hJ?V*5xMiljo6p`Ms(}p zLi{`&GjPnK9-l9jB;^O@MPdIp&+w}V|G&AfX8^B1xXk6Byy#(o5-KS67kfuzA1Aho ze73QRBe|R#T%5H}J_;&J(Djhu- zhyPCf?rmLxXzP~?JuyjvU@0_k;#0No6T^%3WJkSmA(CpLmIN#!22Ni3pA);OPKX*bR1nIA~ z`l_XwqUY#gll!MYSm0!NJ%i^$Z(o?EXe!nNAtUl%a;JTu$cmS_Y~CC0e_i$Lx#t7b zwrBSIq>F{DbKVY)*pKGjYl9C(?6{A5vA;C#rau%Y?Bu$sDS^DI7WqA1g~Ja~2k+!6 zUX8)Ncprx{u+@lLilGB{*VMO5c~ba{u(i#P0Sw=_iM!Y5z!y<#l^lUR7!_#vudiV zGZ}DqhxCV!+mql#2&*3RKoV5n{88U?GX*5C<}1gGMZvivLAPERrNPPEok0cIpVIsF zc=Z4IDE-(aaqG)z?C0s6^n))c75FnK4>HoH!s9X3I%(b%*#A56?Jt8=;7Hx8G5;hM zSk68XtQ^XMaf_c)ANFK`&}@sM$^J~ZvUuR>WzHmE%X-Un*);=vMAamO+|=Qq)7xAN zAz`#FL@D?Nr8uchgtqQ>9+vSz=ldOa`mEf6Rw;_N=hIf9~Fc=ez&msD?U+qPEx-y7#$v$ukAQ(7K4 zQ=|G(d&vrOsQEo&li%qMGk^VZ%*ebTmu+r`20nKn@b)a!;HLFiYtTAfJhkx26NwxT z;}zBp0Oi4xTVxb%AzdupGFJfS%FHk%=$Hn<<2`bgiC6!FTLQ-fo(P=!#yU!?F$Vn) zo(cXVcv1JE{g-E6fxy;Nr=GzaK;n&CFWfEoJaE4C5#t8EXMWHS8^4D*wBCL-&f{W!>4BA;oX^-g$l6*xW`2~wsRl`?z8yFo8vtxLN`T% z_xvbmO9et_FG(i(RXAjlblPTS?Y2!#9G+vIHw(kLT7>S3wJChn&y9m#{fvIoDo;3C zEOYvcXbwrA_i1G(GGO28Ijd*=7l#so(04-j71*k6W+!9e#O~c&$?@~HTjj%Zatblv z-n7m)QJxAb!b^#V_>Li>k5GuAELOq#`Qy2mr)_8?Tu>o96MsAy);+(-v}T7v;nD0X zeQ|zpoSE#f*qsQxm!|zFhuV$QuMm9<%^QzkHNzAj^y~EP-OOyw$61P>y?b0=6bTa(D(uMgD5+2SBmHC}$Tk)Fiz~nG z7z;#$f2(#jeU1RGuICI3_`G}nCHe%4P2AU(w13(EGZNm~x0rvJ42RoHp)9Mo&ZkUj z_+n1Rqk$7XDIy%^D6^M7B;b`PDoyumG{b(~C$DKK^18;LK&}t96q7zsnxJ=i2>WAh zWw~O{aU>A?$126DwBvi1+12mH9bu%;bz36!m){xeyVANb$kAaA8X5{Q4L!POFtGdi z7=;x`#|pXq4T*pjuJ>gh)DwV)M!%n8XDaqzxLy0#HWtiYfwGu!B7{5Mp6u;Q1A!om zniSl@>r>Nw6WlSCW2oZ z=P}IT3yH^J*nfJ`ZOe?mEn<$$@Ho9c22`o8IlOU+2HI}p1j|5gkhWUYDEj3JMBV5! zE<7w4&VaMWSgI1@LZQ~CGW;ceZf8+BWc(^63HPI;e9VPm$n4m-c%o4#xTM!)?Cf=g zzv|b1P~-X2+uGMz7{(mXjn^%&J6NM(kt%(KYt9e$ai5{$XqH7E&0dul{|H8Ht1UZi z9|WU6dP&}={llOm)9SQRjTt&KM^;_H9ghZi(#Uei9MJ`xpCLio*q`~@+di6eesH=$ zOlH2q49aIje5uOue6pCcsgIQ#*r-+Y?&EZVhMTXl>zh;HMWnuQD)uYu|6XL+fOE1h zMDd3AW{1FOADv~>dP{V_X5`)XkXWcGW*lNp)JFH`25fwjj*#BR5@5A*x;z8?GcNf| z+>imW!xK+$oDD$bhaP@Vsf}Vn}tO#?1RSXf_@OxD0YwqCBvVy@6Ifbu2h3^5G=vD9D`HSaCV+3jB(T^7INx z(3{b0)rs#F*zYp)tnZ73jAhz0jL|Wqy4oWiGfP8O0N0gg6JLd7f|xFEbfpE(8)Cog z-;MqMAKHDH&9aCE=@(L;MWd3T+;^TLqYeAc$)yP0?E1g`4$9|a`naF4F1f#o{TEj~ zt4tye7r;BMrgIUj$Dpg3tDNet2b@^^_)`JvHlOa%=@jljQa&w_zedUz`RAWa_(Kx@ zN5pB1TPWiM?`-_r^)sB%B>Sn8gwLL@_PpSoiZ>ld6Ev>SI@NwOK0Gm z)z>i}wekI+`B$@`rgU)dHdo=?i+xnP$-)}5V?eoe+Ny6y6dYoC(Hm-*h0kf3C|WM3 z;yG6P!YRWHaG;yutt-rci%syL>`Ed?THnhE{Br`nPc$5BD9HgQkr_l$kqaibJy|_h zQXz7RtiYi#8;X}oPv-JkBBp7|YifTrVE>+9^FHI2q&gXummxbh5{hi<5)JJ_-5_DE zx%=L{G8)~Oz& zCs6i{_bV?`;5e&jAcg(737itRC2;!rbp84f?3dScY@)dHXDEC%JxY1C-3!#sx`wY@ zi6G(aobSawWvtGy>{Q{=su+kSRv4o)vce(XF=Ro}*&ArMJSuMf35SKnEW4_0k$CU! z{P6!r)^*2I{kQM3%1V+n?2wU=y>EN(z1Ok#-g`Argd#~urOYS|`DiIBvq4cZlcbP_ z^m{+gulM=BUeDK`r`PG6bl=x?f9`Qz0%j=h{^l*tW1LSoPdj*zPpYc<|0|y{{$X6) z!4dF+|9J$|*-JBt5NNOWFK)EwZ9SaY?FEt3jkXCtJqU(4D~nA$?gYl2dgI*utvqqW zpQtA{K7CIkFdk!^#rTWywJ)~uWumVWfq4M)0_HoONAClt+FZ%}z#VsW_ou~h;GC1x zjaw7}{sR?%HXVu}#AkfQw5&o1Ii2LylRaL9@b|6kR(mXn@EsOU-$x}AX*vl?xdUEg zKEwQ$b@bXGEbY2dwk@&5D#|_d7t&=j3M)G@y>2`e)PKH9~!DNK8PRA(#HvT z9wqa0)rBw`1Ef2xbGGk^mTwARe#gAuS6hDPby*CQX`QOGK9mH0yY;d+eu@Oovt_TV zH>ZL9_0#rNlE(>LN0cqTh%tJV1bdrn)G}xjpeN@$QD=wd61jU9Atf1}$1$-EqB)%Q zc00}Zt^{D4z7|$76iBXDa2@lp!!A##F%>X>F<+*RTi{BCnQ8SGPEk34>mFS1Y}Dpo zV8{1{^ZD!rWXE4c;;0TvY#gs6lzMogsS+!t%==#_P$Gj zIdldu@g@u`+iF;jqIyiNlJ%x^dK_Fo5}BwH5)IwQWwzfsfab%0b#i-&em7yHf1XTS zGU+8!;5ui#_VW{H4)@=m@5#EE3D3`>y{96r;(cMo>Eze9H+>SClSu*K7T8pQ_Armk zbKd8;8wX3HQu|W%QoyiSpy!c)60E)7(0arv4&FuR7A(8Of_lPHQo^D)K|?&guxuDW zRIl4?ziP$|-?%bl2KU(z#-NAAvq%I*1y#@C*(I`u-ekr&-nA3L5m z#zBI0BfnPHKvy{8r{d}1;6?sk11b!^JWq!JIt^AeRz~xw`Asn+_Y8;z$*C*%EKGqp zc_blv?A2fXptE@T{2`ErX$4>a~S?IkLI z_>e|ezUo7|XWFCv`#;!#y3@Wrl9QI?&sB?I@7{>&>afZ-AIaD_i0>&BX&;M)Y>OOE z%DQ;a;{8_e2lXkO!oGV@YC3@4h|5SxWdtn#7Vk-W;SN8ybun(_hzFY5Ya3MFqPa9* z)2#~|(41;Rm28cdD6w$Tdj}u#$FktHDCTntfya%$ue(tF!LPKVzU;aW;J8sue`6s@ zkqRm2>=-9%NFZ^(X;=vD8J%C&IOc-pf-|8<_LgdUK@VEbmU!a?s?r0-(t$C+{rt-` z2X6wT@N*yha6y#_J7-lPhxX5`A1=ooN_U0}w4B?kQW$~sL_)y0!Ja6cpb-w2awc32 z*SDYB?E%)ks-kM!$5r`Xl-L}ccP7-wr~fFHY7=jj9}W9Q1cS8J&G7PC67+OLdC&6N z!B3G;lUj5Kb;^3Aht%Q*ROLnOJ*|##>YBuh$kuQuQT^Qe%GwKpTvYZ62YAEknRA{4 z2JUd;_m$*o4-+DCG5bhQb^!1hl%_3AvA~_PTO@Cp*puI9yRF!O)D{aAi?`O4ja7-V zV4h!nt1@7`?|g821^jI6=VLIg7y@Z{aXA`oyy7ZimKN`7l_eJWx6z92seJ0 zW7}Z|w8y?k-bf7q#$x5w6kp_9_BXD4n7an4t1>`Nnk}am?d`m-`nHjk2!`TNpHHcK z{Gj9M`L+E$B>3YLv3hkpO&OExK4chY2`TQj>I3qE+ zmOq{W4f?~0o!ptgU?jVd2JJi88uA{THFty2<~_@R|G z0qa9z{UdzekMGy;em34e!t*uUKf?9V5%z%*I^{IbD!MP(yp{x~i)D9;P$ojv=JGSf z{YmhWD*O-|PZE?evu2j^$AkI$7GY)NfAI5h^WF8mZt(Ke1-4+_Bygg+lcgjZ2WN`3 z4%;pyL+qt1!3r6PkP;=lcRx!4JQm6u8Hq@P$2T1GlP;x#1jOG7M|GzZfB);o={R6h zW@hhym#t4JqRhWphgovpT@DXKWk z*J(n~_wjCFeWpO%)_o$pHO`bA-!_e7C3n5F2$Q!qyX{#0;eq+9vbEY!F!>!4EX5E4 zheRI-xc7TQbh^NGTkk+Ho;bC!yV8e@J3k`-T$^e11Dr<Iz99G- zDSp83s0O^}Zj;%9bTx3E;=ILqy3OzM4RbkdU=RM97dz+yw z|IS!oOTJ|(oE!%Sjd!J%VkuxJ_z7mqqt8=`rU z<4VR@kSf|6X`S+;T@Hra3#%sPPl7<=Y-iO6w?HVRDKJ<^^JiSI;5z0~EHWq{B>?8H zJF4dFSC*4ujwE)P`z`u+|E+s)y~BBbuXNuhq?@FskSWX@28NVxUFQ74$$OBxr9l(g zoDpE$Su`nl4EaCZLTqdi89`Cw6aOa>O@$uMm&J|JQhjBYJ_Zre`dpF81En%)s5Yn!4 zUu4{f7vY;m-yiXW6PL2O)@BY)*Id9Dn{$a%r zgudQ?yx}x@?myg_RFE%A_-EK{oPKWsZ|Dk41UtN-E$hw%M{P6=dnPtm%*2ACa9VBa zZq)zQm9%MR82zFlSEkPY3~ad8m9u?pYW_x~>TF(uRO|VMqrks8@#X&zTgJHqHgsU70 zyqDkE%OL-f1fUljzkhcK@-1s9nh*Df`F%~Vd*w5MJ7QzkYHvDJIg8K=ahO2c4S}B= z$w*)5sYF=iJr}62PZ^uI0U$#!b-O`7fb36;{ns!qVEt^Y4~g}U@O?kNU&H&^c>f5` z*Kq#`*GHzBY9^bV6XCPNx2Hl&3Gnrpex^Tq9&@SQ9sG885(r=7tK+;94GrA`*D8b~ z!Apfs)t}b`PSRAx{1QllzP85}e?G>+_d(if0lOsdk?4yLE~5biX7k1sf1*l zHqUf$nFa1%-W&uzZbv(k{lefJ7#4N1OZs=h3gasGBV69R&Vviy_7mPF1sqpc5B3d$T&9mcqQEX0wxMde%AlHmza zx0krIF55!oNn*th-OD`j)i-+3hwcpDZ%JV4b0_C5&SRWUI8WngI8^;~kY3aOQm@@32$a^8)5OU+dPfrSJeUKa8?nacxxd2E8A< zcD6hK=vN9{3P0yWxcCRm_kXe^m>>7;w%%hxr1zfpxL?Rcob)wc_p1veyl!w#f2`CZ z^BLwhCLw3eLS?0Y@t>m3@&S?CQ4m(TcJ(as9piAEZmTMYfTR*WkwEnbGH-sBe#6jT zmJFC@@2#0O{Z>jN^YnYTyzY$rSh)p^XlZUlk$HFh7|Z6Bh*)4A*;e)tJ?9yHm$h#A zl}6@g=F$W15>KL#4PVOS7-t;Pz4(8A$GjiqDjEG~A_`oS=+8d>i2R#hz1jEiKqO@U zR-kPzLP;y$r>H@qqbjS@Glb*wh3VJfP?Brz{=Fb->G@I#Nh3dYd?#{tB7NdKXC!=IVqUg?9RYhOLwSXEkf8OX z=FLLcRB%!qcK0|N4(vx{eG>B$;Or6h_isAF!0yY0>Xq*SkolZ@`>j2WWS^zm-&xk0 zMFWA&@6M4AwsF9GD*cQU+Jo5e-yfu(NU<)I@(|(v`w`x8`+w@B@ofdC!_8u$p?Yd@ zhSiNoqSf8&+!6w>x3H>j3P$%S_VUA@LZcwkm_Dz0It)@J{h4+z20^PLM_~|G5aIrw z4#LUv8hfcSY$P(0uk>*rbLAk>w~p zz(u1E;x3_7Tavxt`P9!60pwH3#rm?vBLVHh$zDq_L;lN=K?9c_9SH#^y#g8Q!dTe* z;ZKW;UrMj}3z=scC4wFfq>xP;J}fA*8i*Y|c#MumgQvcjtXx?eeG4-%v4>%+wq3v@IVAS)=Q=P!-Do=-s%VZK)QU^mml4qKzI2# zZk~D3+tBGIgY(A1Dbrm(a9^2Ty;&pz?MW?-XQI0V=4IhIwN_7pYqCDuMAHW@Jae0# zM|W_$GlL)fW(ffncH0TFSE_`2rwQ%Z(ExC?uzBl`_SP-Whu2F7Nx+25dWDIGGx6l1 zECp?^J5hRgn236bYZ8vC~blg@|HH9dgTt{Jw*J{Wq!l(41r7 z{q2Aa8$o2aU+7Mt6Vc_HDbR2}kVq@CZy8FlAiA0h(jI;fBHn3R8q9z5ftS~3CTkCR z1HnvbhD_t!HHkttB-p^AV+ND z7RJS3I4iNg)vq)Qb_`e%JI2z%)qU}tijNsg+|@hm%jpkx)Z4S9{XF4Lu@lF%l^OI` zkAIUvI!D%0#)F5`63PCw*nbWCi(vh1tPhFxkMMmz#wEO;jrWi6d=2-HaD7zl`{$Ol zSrVk}c{6?SE!tb`VYChXk_=z`?2b*-q50*}GnB$;{=hB1dqIi`>2h`GW!_>)0oG7~ zE&7&;(5&jh-9eWGHBy^SmI)+-LfcORkc+=p*;4D+-Od5O< z6xx(;91n%9jEmG8(;&%HaPH{LR$v`0xpXs%8aDneG<>&7ksK%LdCYv7rd~uj>CyAt zYt9h4+aia;T$#B3nDVK@oC0j>96N18#{oFLPtbmgj(fhB7<3#}A{>yO(-p|0xDpOq zvlm<5mj%HaRk@6mR$my{)*2}CG!#f1hd8;*kYDg$+!41;nqx$Ip*W9dw@zriSa$09sMi(6DDwLPkyUEmxo8XJGrvp4(LP|xgNjXt zeEwilio{cp-Y3pmoX0qyaGtK&xSlyfFEF(&gF<~K>%&-oS4cm0e1GVdLgBcZ+B zGp(hZ^9<3TuH|@mRv*nF*{n^if=Ehz3D;0lU{ z-CspiPigM*dcwi8?{wILSv=X#Qyjv+phOWeork_5w~^2j$Qvj|*A%r6L2akoZ7 zNuLSNx7T4HoNcYx;8A{y{p6~(rgVURXqkQ0D(*u@7aS?{t9J#vsW1lOJ;Way(QLF}x-X|LiAyl~rXZ zx)=?wNUHREa+1jPh@#%k>C=v=pXBJ+e2XUq+OxP{e>xZgQeK9!>IV|x_Vd+)QK@kt zdt$aP;c+zhuy7fwZb0{gT4VDUJw1psk%Ct`NId+MkM>SjHj65pcLG5}xz3I^mOw|>{qy;d7TlOTaIgRFKlj@V>in~yvf-EDR8#*rRuFD65zOjVbSL8k#R5(&Sq~XgLE1;X1pyz zdf1D4tG@~##e!jo#yLaBRM5J5m;Tu{fE=B-MmJxhJ0vCZIR%+GSQSfQT9P&)9_1~( z^we>I9xJ+J3#9*<7b&9YVXRF^-}>Wrv&4~DDT}+6zR{KN;p6;smPH%5H`3He#w!!M zgma&|-L*viYdanaQdki*WAcr=B;3KnJd2cVX$Dq-&83&`Yau-XExn(vwjk{0ULmDt z1b5)6>czJTs1Mi9N-gdQdS!LHikdA!QnHm{n!^Do6Q26er)xp0nFX!bm_4DuCMdND z-G>Qluzf$Tpo4tp_=Bf})yVIw8aR`}FBFXK?0Y7cTVI9(b~!Dm1{IN8XXE?LAj3N^j5zB^j*~a%_X{RZX+da~^-78n z6Pn{$GbRa`gUVD;B=3S5%ocAS^$^?v#EE>R^8+TpPD$%wq-Y2Srv%;>Z*~D+;{ofe zNdt0Rt*i&~v9`s7PHB`y#2#0$Js_brv4Y}5&oIEk)DD_%J2vErs>2JJ*0y#DdpJW) zTsw{ap1f8%AKEZyxasM)(imnB2d8-#{FF?=Vn;`!D@Ov1vC^hyK1cqt-UDYDM6{tY zE_4eeCGrV;xo_J+Eg7&VXMBD6r#fMlx1&H{&;~>m8BX(A`@y9xFIny(eIbks*nbWC zi(vh1tPhFxkMMmzzF))p*?9j5&)0DO2-ipJ{VCGH4QOA%pIUEoL^KS@ZBn6di2}+T zcO#dnaM-m{{`;(}HYlWjXvpP>hW5;s0}>e#Fwq<&*1R4A^-=-nzr2ftY86?ZpRDM) zn)!C_33T6*rt-$UfFTZU>@Q~b*NlVe7vV>w7$bqU=-9=3h!-g3+LnJW>k;)(4 zpSB|7&Lnq2cR{Tq;5@pJ-RXMzf+dLk;eSi@5%~dJ$jHynI7mc?Q+D?_nUnJr=Pl0D ziMuLiZj^`x#eo6f7W+fd0;||Zr zw{w0Tj>OEcuK(COM*`z9##xNN7+;lU<5wuv9SO_>m=`eLT^M?KVjaylFh2xJFmT*> zX#yLR)EM}FXb^f+oi!WL-ADOyrAxPt9`SA9Gj(H{5h32eYWcHYn>Zl9YSb7VN^s^Y zbA*3$AoCgKx0Aj$bV@v$|KdMQ?cSgWs|b*eynmhdF$yrhW8S|4+zPTE!lAaS!PgYkUu(~0#Gmd6 zhtO>99bSU5sE*|s@`%kO*AWro)oePS(7mlGN$a?W8|d)U?~zA31+GlQ_-d{Tm}clr z)`fV&nIZkcfJz7O5t~-3@pdNHE4Yr~EZ*&KY*!Ru{-Wke-A09UxP92gM6Tw>0- zy)#7>^E7M8A1wH?3i@TjU`^nKp!4Afvd+l#4*EZ;yCY#oyEWg~%W%-DPW&u0<^h3X zjUd^Z3f*x$8V6Aw_l9dCp|Ud(HVSjjs47H)`l6eMIejS5Y}Iktg!K5aPq*x$lpl;q zNH?h6qvT#zJdDa&jH%84QzwPL{OQDu<~GOtSm=Md|I<(EvLNwD<;Ov;t%XORm=*D8 zDO3RD(VjAePL4Q3EU4(OWwA&_Lkf+5q`f!le=%ge({~L4TFo^^d4&+dbC;{=8=g?Y zwsY&UFf%*spVw3S6Jkr;Pe_i7GPEK@n`LQTDFO(=nds;HhTLH=Iid9P9(T}WX%BUs za)yusD%OXEE>Kb*rg#87H{p6EL1m+m37bEZD6^Jaw{n3k{a;TJqNaqjJ9nmyz9NWj zepe8`;s*TYhc%nLqG9aS&$l_{=-w@rB5B4x1nl`X2whr0&vzFL%=!)E;4Qz~)|4eb z=&cHSc6XLUEWZ0{e5T$8_GSLgnq@I1f9|PkOa0f-z1q*{hp&PU!~#oi_P`;9aMV9C zIy9Vu>KjAa_^0mzfrd5s`HmbH;J)Hm;wc^hhuo9QFSsI|xA2p!Drlqo$_j<8#E}T# z)0Mp}rs4}%E1jQJESV5o(r4aY(~E}12i4VPrAXK3;(g}fB46;yy`+^l=LR@#CYck5 zscTc95_XiXXL^IreW^A|1JvJBnH<@T>L*Uu^n3g?&IG;DL`}1mFU+)P%-O&3hS>+q zR5v|B!5ir($$wEK0xZj`_6zz$ki`?-Q+cis`?8Fs%;X?gZ+k#TbJ&@<`R=~$+X_!& zPwV0pH#u+ckGy^E;eJ!1@JQNdqE`^{Eym^?gQz8;Sa>O`(F5&$jUGwib?^k!{Ab)Y zdo)0z@OswCMiR(MxMarNB0-gjtNo*V5_qdCr%0kZ@DDBxMJ-4#f%)i-KiRgvKnagl zlvL2%wMyAhr$mF0uIjP$M*W?mOAe3fYm|w(og-r3Zz2Bq`@UlfNiJVBK%U z?VTDv`8>S^&f_frLKpmeMsASoC&oG37 z#@niWjiM&-+O@eouNL{(CX9Z5PWY1J%HhPcf~{FLI7ae4P|!p9<$u>ruR9RZ{65y& zxck9u*YUi$JKjJeV*8`vy+3&9?Yp*LECdu9!Ycx z%tFz}slb>SNUvlV1G_ZyXbu#`gZJ!-I;jmL*uymQI{HoujAa?M?8!lQ(G9^bo86M3 zm_t%&Q+x_AYnan#A-yg8S>EP*KQrK&kc^k0WjfG5q0Fcd&VZ+SyiM=-pyxI|<2{XW z=`bF3qReXVL5M5~>XNrmCuS(lxor;=BXFFoecJo<`;I`O{zkm3gE{gqelF0QU|>w_ z_$+cWHANKeF7?;`Sz#c@_mi~4fy`0D@cuM^=FC?=n68xUc!=f?aMR)!V~!uZbRKgP zdxLaqFFkz6_dEnr-g_4_+6Itu=WA=z)b}J`zRr-yPye*em6jDHvx6D+c&+iv>8_3p`0akMvpapNT`r_lPE3Eb+8$Q5C7 zAZp*+P4idV5EyrC=`uRH=L3ll#&{_nzDNS&F~(VpzZhRjZuV*Em)R4T2QV*SzI)+V zuUbwWOy-AuIa{=p?)XB++{Y9L3N7GOf5^Nu#)mNYxyAfOhC2~?r|D?m8)u^R8cU;C zo*B`*Bz^6Ibp+7^zb3A0=#u#i^BecE`5J3a8sdNXFD6cn?x<2cxG}N3ELVt!hBv}* zeznJ-{YI|5+8VSk^_Mr(YM87WT;biqpOH%D=ghj(ekVd=z|WP}PSO$GEB)nn%===8`W?AA zVqxE5H+wFXc*yA-l+J`=55V($r%1+-K<`f0rpB(San-7EU z2B)OyY5igUX@6g{IMf#}Zpf}t@`e-d-LA902!&XY*s|^D`5V_OxQ=mlzc>8~>2_fL z@(U?#TarqKdC_(=yFFQe>mFS1oYvbbCcqd334YPj)_wtC`Mw~~M*{5?{ncUP=sC?S zu;CuAzj>Y zuOH6aBcM}K=-PItXm~MoqUAsLx7jSrW1^z55IudEx?DdAdW<_iH%_3t_W%BTPtIUV zuhI`lg2daBZlh=7$gejhQ5(-PB!KWjG0m5T6k^Nvq$ZK!1c*yAbNS|(0)zfMe7r$% zp!t(I%;af2C_j4&*45~~Yft*rv5T5u>lthLyV@0gUhs}^ck}~o`nLLVq*uMl3p?eT(>Unc|OFytZ-y5s8 z_|N|M1-9(jpD76-GyO&6txgOq?#Y)vfEbJV5FE zk$Y}o5kMVxDpx=`5UyzSzrMYO?t9*dQ*XZ;0=6gj3b$tk!-YVH+^BLNc)nx(rry3p zAX2sGR8f8l*>Em-cWJ`c;s;sxoI?S}4ebHT!AEEhWO>Zoh@r>_vYwc9>0S?opa$ic zT;yM1Df7~0RyUD&{O}Q#X}$~8Se5NPBb)+nzw;!wH79`@jbU&QpC2@M_C1W+?G3#% zgQBKLA5$+$NirYlw=kYi8{u*Ffn5%ylc&{5XbzTMebEZtvDwkBD-L_ZQs?h=oz`Fo zeB_XOJQLMnm)v{|Jp(~@@wK%Pn!l>d4_oTb2g4qL@@5J&&oz1ACy;prE!{tRtNYY0 z0yr!R7eCpBLgH5Dz|&|C%Y*fmiAOw|JB|DtJ|-0a@oD)w`?jFxf}V`Lo?$BB zdZlC^?D2=v*cLTPS{E?$Doo5dW&sqgza?6Z29o1sT({V{(?=Zq7uMqMU-pDW%@M|j z!l>@pdOqa|Cks(Z`nZ2UN(~}wA8a&Wb%&O-j}0UbQWC8Xn7cA5ynyu~qv|H43y$Ne zLgeM$SlVQ;wSRE%w1_oKW?m+G#*j|?+tdv8RWz4u9XC9%*Bzd2`&?9e-2rSm@k{cWjfWw?3aeHY#6?9Lm&vKIwZ>0Y{SU7z`94%+rUAd z>`#mR*Ra0`*3ZVcg!PZ`eLucm!~5BI{|L|5aQ_I`N97guU4`OFa9=Jb>M&0f%n1a? zJd`(troKVP9E4xoXU4Pjf+L`IFV}1Okyzjj0WXA%idFHkMPmuH~N{WsBb+R z_2c9o^c=43dS#z%5|oDptw_5^K)3ANeZysRza!|S>^trU62CJSL{Y!e{rYpRtt*z~ zI8j!!Yvyio1iM>YJ>DL^@ap@=2dfqa@FUT!-v#M4e@oxsT$PP{82`q1{q@L>umm5- z4%i!1)oTl_6+_$GraZx@AeZ7qi$9F7vTi?h!xnt|f<;7cdx2%dWHG}VFEZ{tyRgrV zg2R=ZN8hOy2k(fIAgNRO8TF1}cod_*`Dv#+%(&jWZG?PsaGv74#d%6&EIJuwXAay~ zH@2@YA|K5yiisIWH&NL)_uIKaTXMby{mJBcxe@8SWX&0GyW$SAW({A$j=Ms|X630R zD_c0)S$l05>EW2OWdIEj!pXwJ#7gy#Jr&xPC>MQ@non9IB*SbAupD3q; z>GlIO|Ne`|7-up5VtnmXv`$)W(3e)Gq1X2Chh+bRF}An<5FDTDS!3)0HI`~8zS?;rpF-!S@?0b+m-%q@P(tq*>^KRpgpF$kx5Ux0G@r^5qMe%Lb`|Z+6GCz;; z{o-YtjR!vwp6fO>ae(<9^L|E---4M$60DnE&AecNbd;!dND>tZKz)Yw8gpABJm>a{ zyOmQ+;5tHX=9}hQ)L&3P`pVw%zAxN#B%Qn3%N#L5?ud*284YyV5r^g3MP;UI`(`OYJU_K=z+=)x`E(=mz%NwCInGV4UWf#{gs)n*%ArssO@GUp!I=nhReVruWks~4 ztu|_8SU^;h*P(lrmc*pUP3;ii6kTH<> z973%Ju~4WfFWpJXg_1X$h9}`vsO}k-li&p@zpP79dzE zzn^H?OpIHsK56$scOiit?`~%(kUuv=XtA3e?MVdHzv~imjD}{zitT&$L_+%38&BNw zQ2&o=kP^wQJQ^&S);-=LwT6aI5cT*Qu z_}jDR-5uac{Zi%g0#8tXI2H545$#JQSIUiB`GCYeMcxN!o_x>RQB%+t^`VZXo_^i! ziu#(*LX$H1;IMIsw$VuvjFshS)LoVVSAE5s&b2n=_mwJj4379BJ*?uvS1hYWgz1;< zbUYo*M5crODDO6Rf?kYXB0z5|>|nFEdCXx(wDO(2;)L#!jVb~JS<{@L+9UQolL+Fu zzi|?fay&y;%o*B=+B;(hIKaeJo#po(XJD*b8a`E{4%YUqspX|=a3)CB=Y}QPYuO}D ztGTWM>-VaU_r;;T^{}Ydc2ut9xY{X|YO>EX33eSf_fibEg8PYOU!Q4M0&C(siSD}w z(4SxvHk>F2G8(4@>Yo|`ux+eZerE~H_ifx24b31juctJU$_38-5)RlM;{r<$G7H@9 zCxO<6skEy$N$`A9fIq}a5>6)_l{QB{rwk>AC8S1A5NlNb{6oY8?Gc0;GEFb*d5^H(GqkWQJ_ z+_%(I(NMn@I1ytT2|q690?Kt9N(dnG6$$+tl)LgOs?j*F4VN;pDJ&(g6soNd1;+&;6&*j-gDH3 zkmtwjcasz8#_akjmcoW~693{(?b_hE1OW@cdDM5}%1F<4ZIBmxyDU5B2w8c?gPRw4 zh;wO0^1Zn>DfX)&qpSWowXXh!(i8Oi3I^zCg^~VKO)TT2*nr9jL5o zuU9vLna0i3{Y#F7W@M&eg@qmL9VP`|Pv#&Tf@n-f8c3izmyxry<^VQKHG4WcEXjF` z^BCt7&QtTin(yG|{jYq+_=j0m_g%`P6X zi-Av4&L8%ft*=4`M#RxL*KE9Oj z#cv@NPEV@-GDW_%hq|K-s&*ET`B|yU_7i_rG!*VT_u$9l1i<``d4H|TVsmd*H1g%C z&!1+Ch9-78s@)#ZP?9xX#x=*BaRgixQ@7W^>qPbnm^>Q(h8H1-mrYsv7UWw z_8_Rd`?ImS13XrZl?kb^g8i}6s%`ZiuwJx{K9pI5T(96dhOU3(`j-zefcY!FI@xgYM@4);+l1+1B0O>XvE)_wP+qS0aCu81WIb^yNj?@$WwUr``JDM?<(?_7`+T{T!t+k-3W!%4GgOJCM6!c2ph|xMi+I->%*mzVATwc8>t` ziW|L_U1Na=k=j0KXFH6Av+=~?-g$+noA#$+sSqW-R(awU)7X8wSi!2&9u8% z;6kvrh4`5rGlw<9uqz9$j&N~%nx1QrJ)Goe7gQHQeMNc;vxXsC^7ndJljPiKqe_gQ z-mDYjqDSzD+>dB{r~vdM)q4APnxQ#Iti{F(61@K{c1*qs$kZlBk7*kaW*Vw1N|c(!bNP<*Hf0`=-rAheeVY?B1q6Cb=-i3E-HkLp zHuI`$##Q<}=iEV$Vx)$_)gFpi>K<)*pa!#E8qHEp9&lhJc5T}iQ}}X3N9X!e3rL{e zVxa8o3*RR`^Lo+QL+9Wwhcb0ru$ye>w~ca#;DyPMmDB3bcg;^HJRa#gv?{T0qfmld zBkkv&1)GrH*C8ShuhkI<87K1M6vr*$=ueYM?P?_=XjtlImWe!}Tj449Ghc?dRc%h> z=-CmarKjd%<@}*fEZZOl-PJv@Y7x0Ak9@uV#>t^Av#AAvL6Ge8>BYuibO*(-uSUAn z2R^XfER01uNvD$AY}B^dz(HQ~$lLpC-C*K? zq;m0hL%5V~!8wffd9gn&_Fu#PB3M5g>qBDwBYfYF@7M5tHr_wN^EKQ*!u65w2*+#+ zOAusTsy=iX-5CZjo#^BHI|qJy0jR zAXeWXsQ*p117t%Xbn@dJg^M1LrNr?37Q%C;yzisbhZrH*V{ei518cD5HZG7Wb0Wvd z_UFY@=Rc{V+k($muZ-J4LWHSADvciWz4G{Ire_8TN3*9J9wXn9zws>}C!BNi3 zam@AvoJXI(&cu0k*+Ju=OG)!dC-BYPmd8hH2npH`CzZXN0p}^sTb!r2{hKJ%?9qPq z@SQuJBxkUx5*CQCasuE+j8lw%^Uznf$dY2z=Xx?f6{L=&JfKI7% zezOO^rqsGaUY?Mlbll(w^688FsUH&ighb9;oX0qyaGvhGRQ9C%gVVqA8RH+uMe2Ax z*LMWcEg-o?eL%i;7&pS1uUi~mc7~qeCm!d1DiT}7pPAac0|MiYN1^0B;Urf=B6xh^ z)_Fey<1xlrjK3IP6LxI6Quysv2j&6H3z+W?&1xt0eNrd$!{e8VH(1M&ZU^gd5Ot{% zyt7mCkl$fVG~Ik|+%;-WXr@%Kmz_ZSnI~?9>9C7{+RG`EVoqzqN{!L1@U9e@&oIAn zbW7`dyk!0t|D`PmcP*j4ET4MX>^E7+uk*HYSyGN5K{%*3jU{g(FmGnQ+ClMW#T78m zKI$fQ{HMQxd0Lr;ChY{9CDa{ZkaX$N2F$x=j|~(H4{5=@)vI%qk4y;>%Tj~Xv!!Hy z9@a{v8M4xb2JWXex@hkK^E>AK!!|48&)=IOz3hRxQd%dVOv;_$Owb2f-r6ggC+uNH zMttXau`+TU;UQmB>JZ`!4snYKLnIP>sHu(gZSn(JwR`NU8iDXm@$4H8q#xSkbCrY2 z5Y1(|sHWp2waN7gu46hoxdbVGx&r2}``-Fn;>F#7PwDcfS_lVR_uzV`wfMS6l%Frm z{-W9Ur7RrH6|^>qq30#+b96Z0Q|UdLpP7cvyi^%My01<_eu;|KECjzqLbsidc5eLVO?raT?A?iwkhji;~z-_Al^&fPf&hb)i z&B@jt&dKio&GpL@sxPO|52F2=|9)MxPwlMyAT#ln6FADMSjL~!gn}PIS0sAui1>D$ z)_G1PVq#+~eM1%r+CG0)U&i*BF4|Ks zJAEM?=_q<_g@zdSjI_@B$}$8`G`@~3Q{ay4=a1BSJ=!SQlyNWLrb%Ln!6*6Iaz z)2~H9LHVNSf}khdud6*J-|9hxc6!k7K=(2M%wd7m=g_^n?6FFro8cg#btgOOu?66` zd2_Kh<|EQ2<*x8w%vdGCA=}zH%B$fZIi)o^j{d*fH{W#`pZYmeV|W!(l3zLoye7+Xm=D2gvNqfN3Ac}!Gi(kE2qNEiLHjil>41Sh+ywX zq2~9Ygn}4TSOvPfdo<)5=zGAOm_NeRnbjUglq}>az!NV*`XZG~?_T6f>e~1%yU7}g zLMh!P?A3`~YmEowccFe)z&M3dr4h9DKC&9))q+=rjJth&Q2n5BX6d~uy8F>xy>TTR z)mi5y-EEmsowWVPp~waoBFgkKdmi%bqT{rntEO}%zU0-iu9~uv-^aFfRBrBQBDj4P zdYN+G3hCW^AM`yNLeQ3bbaoiV5z0EI`s1elL>HsTWV1#*p-MUPl4-~X#y$NKB+x$9 zfaDJSt;h!($B9Hd#k)YhNSNX~^2~Bs2`0DOgF_(*f3}B^QrP zhr^1PRf5Qg6tM0dju_sK_7MK!!U0)+eim(Cpr+dmT9!etf@%_p|Z-5uUH%{t>Q^1m`dQirbn7<4&1Be)%WEF4o>2 zEu_PGCS0{zS3L#dEB;V8Aw7+LZW!62nGL}j8>Ga4q=C)2K8vYtI*jh^8QhEXnwnmT zZWa=sc^RHW*LnDdqmxn0N&YME2H=W^~ zDJw#lsFVyX&>?tiKQyFtnUdpM`CjyShL?`SAe;J?=F4G_|3v-EWMU-jlil#1$v+VI zT-1bf(A{WlXWK2k!Z7&pDM^uUHh_#f`7?pvMAd=;=aH&W)P1p8XXJ}TdnE6T4=il5 zFZ%4KMEFOn=uINsF`TD3Z*iXL9?m#dp<@U;1($UVK6}FJPgYBoRc63fYF;rn>Xb+KH)s&I$5_-bJhJ{`Hb-o<6;p@wC4t69}tOOk>6{9^vC|<#+udZJNk&f z!$fP9MlS{s?V;OVO@(?B74=N$5^2ce#v&5*HSIK3rV& zBc9gPi+tGZPB3^6g+ASvOx#PJLOK#gJ-FUs^@$KVROt=dnNMf6B465?p>q@Mx6r-dUmwWr zOF!tY$%legFC$|d(u;KD86DH7bOMDf5$v{*0@SHvD)OivQZ=OB-cS|?(kEg#)2+hb zv?p>RQbFE-59+rCY$=-96;9^=k7f)e zLYYXXpgTg(rv0CLH-n9G8-AeuWHS$)!%L@4iN-J6-I9qURm4p&JgXh?vnC~YHf8E?bZ{S3%da-cP zh}aV{ZhJ#sRRs~l6$fitkd8^jWH7d}o&h>S8)M0SW!sBr9= zz4zXG@10f3US&%vqexkClhr_0i6SbAh)Rg`d;Y$^?$`VG_ zo$oOKUvD=4Bg$q_dLW=Y`J0xLF}{p4_BGcyq)9J4&R_YMkK;_i&~Q% z`>Fd%otEAV9^dqw4?}uEw+?vNm%I#wl#cxc`CT4R_GOHGl=gqKE4ml zgM94zU+ucM!h@NoPefm+U^e&EBljbHg~RlZ{)ApKf$Y@l4?&9=8&HnOOV6^w4j-X; z^lr@w)l+*eiZ|FIy;gsHBuRkTkdo#9i1fxz)0Q%nbeLfkm!@~mh9G^XWDlDOK`SV_ zx%kFfi40p?W#6$Evw%B?r#VjaSOOQRQ$Dq^6%=qkdIfiUq3v_W{JEcK?lBgGxsW(O zkD8Fd8RXOAXR$|hTuB3SdE%}QT%ORjl;=+Ft%b#KPM>AuRv|psdvNMV)=mg~At`=D zQH%U=#ufXh&f8(BwlzWOI={wi0<)VvDSl)W-)55gW55R2aSxae|duMrH)h)r2BQJ zz?0S^#|h|8#LrR~+QA%c=id=@?^-4LdV=!48#JumLpxO3@brBYHF=H;h%MiD_j7WC zJgjT@8_6Yz8+{%hv>5|B7pAs|r<9@cC8H8{(-n?qSkAuJK>kaj9_*tR(R-UQ#oZm` zZ|tQ)%ELPx2r|PWv3|8a1Y9_{qiRci%Mz~Ii1n%z3qXHp{DW_q?l9w)qxj&kE1XoV z>yXQ|CEyb7zlQsZ;QHCPJ|wPxgx~k$_iOlmHokv^&)4w&5ndnd5lK^GFNp&0C}H8% zUtwUyOiC%i8434NJ&hQi2f#DS>|-ao;~+K-Xe29Qpgo+_D@i*R{`Bvc7x|9v+?ZY` zHD$%XZU@PYPY!#r@$&L>Mx3fxP^hTXS7JE~kCX5_M@A{Qy|6c@N;5Rj``G$N^DELf zb+Ou;5zgnYeeYP+s!KVqB}j;Gnd&a>1miteV0OGpvbGasd{X6$Nq2{~KXI9|H|&A! zDxL7Cr!5@5S6%+2)dMn_*RExcqWSVa+{p`JvnrNw06dS9OQp=&?&`xeDoIxXLwndx z9_e8EAc~cRFg#CIHYVgLp0{|Oz8oMb>t~RHTTU`%s&wYC*&1%BZ-nl5E0-l_PnZIp zZ_V#d%sx*Mg^wv5b?^J!uz{#S2l)YXN3jv&z-^@jBq?|5o@m z^lb=vi{~+(Pk5fb@;6Bv>2&&^e8%w)$HiHlBu1$Ydq~bLa-dIjAmE1T>Me)pDrq=! zmZp1s$OhAToD?@UOs1%~qg z&I>r-U8BxH?ovpn@E<>rmmhdnO9$-jZ(EDi zBet0GtZncCN#uv}ZQxQmbpZBsb?E9wmL`GEaDF=%`65-1LkRo7`7fu3HbwJxFxa=o zlHBhK0fMrSKo96+`<+|M(r} z{SD%L?WB|dkd&_p&iWe!@x<9S=&xytGI$|yCJpaK;R3F9n zTQ^_x2G{8QWXJdUcu{_U}ex< z%MAydzmAM<q*Bd>#!C@2aHPar(htJJWU|x=2{>{u^e@ zi1Zn}R1dvC_ZA#1;xTipoU()CSb`rW?S5tJb3pyds&g|HL zMc=YD{X=WQ@5A!o2R+6upupdP1HAK;K-oUA;^&gcnkIrz73Ci8zWE z<9fEhq=R%z?goH6+1Rc_yd#9leInfk2@(9G7y~2YWa2Sz3z60Z#F2P#uc!fd+D_sdILLz@(B-aX13aO{@Et ziP3)f_;Kq|n5!a2liGf9^^-Ps^}E*kQS{!~n61Dh-T}bJ zog|azVvhZ-Zr`w@JOl9x_rLWeApa4fD1&e_q%T)){Ww<08o2f_#_m1m0S}CYJ_Is2 zgOt3ljzOd&%zp4$-j8%Cs`P9*LNeVT!_}Lem((2&&}BHiZb15Xhm+YejtasPsc3ek z7v9kJrG(0^?;`qlp4qv#X-jx+cmKuvM6%()YFd4VR7V9GC)RHAhs$CKWJauZt+v>< z$vMet8xgQ?w&LNrV}IWqr1E8!t|S{zQ^MvL~(4eILH+kObgy6 zYgz+0d;dzFk{4VHSDjTx^+cP8F3sCw9XP@9NuGtu2YToVoo6uv*eA_-Dce6+; z_98sXS?lWFM!FCOr&}6z(VptcG4~P)6&RMi>uK2T4n3~v+N;T7ka4c2`z01gz=iOp z-zi(Y=nga7!k{x+67GyoNMGncx|BNai?(~*VC-UC&R$f<;<$wS)8hVXxW5RlpN;E7 z;`&GUeLsG`hVN(N`$zbE4euY}^^tO{mk~u}6x1C|RnJ(B1R>twlN;@!p!8L4Cx0yt zLP_;S^JQY;DA|e8BfLnTuB-LJD1R8F^Mj40MJzNLk~}1(RYiBYmi_d9WP#)Aftruw z=q~Tk;`^JJ5Ih=@iV@w25M==xy0&{fXBDEz^s;U zJ3zNtQbp8+C+KD6&kRWT!Tk&Bl9aE!AwTM3yY`whV5>P_+?ah}SY0Fg8oKAeap!hs z=atB#?ttgf<;lgeadzYbufbRuCyw-6dTfb5eAI(7D@Ub6=>81PQ#^0+JWc(yRX)3$K?TEk0Otjq?|RK?_zES^p8G$3P`vB*{i?nT z+@zx_GR;1&YC2W|!kj2~JoYEA^q< z+iV0r!})ESg!=orVVVEoKZ9U6sV;e4X10WS1+QbM`d#~Hcf$eaFUD>ihE3F$Ia(ESETldj@VW=D zcd&?hZU;>d5ak)K&tE`#+xxZmBz*{g%83uToSgxvKVv!oRHZI0$|dyL;a zxtigQISZJSabEGjgotfD6$H+JU+nX67cN;WNl>{+id+Sw``DurdC3_QA=%`=aoYjL z1jL#7(Y}0ix?zzQExHGpyt+ET;Q+)Qed@}?|J6wi=aLd-vz#D1Yy8)wj0L=MxEKP8 z5}0bh$*-LK2#XN!4NVQSK+klw!B(lP18|8$$a-KJ)qtM>;N?mNsr&gc%O zCbJ`~+Xrqu@FZnLzHiRAOmDZ0dcsAnD385fw(#lcJ-JHq0JyMqU`mAB9>(IBE`Hb> z0LpBQOG8ZoV7QJdGcn8G@paU(8nQEJXh%*pA9*T6_d&Cz8rkqH2NUdN~o3h0t z&KB^v`PP1)wD@8)($6y7Kd0piQJTBWS-}CI^@HkDgF_I!6x(z74~Y*ZxNrS-1)3LM zl=cp<|Ly=PS`W_JBHf6n$GN#2OGmMr^NHax=-zzlQE7{Ckv;gl8N}2j6o5*^!78UN?9`0?Q!FO63f8!;1Q&-3vnitKhATI*RIvpT&}1 z4<0+i^RhP8lgQ6Jz(S!I{PK>LAFl8>_S`b_JUY zIU(%_++fmybC+V$6|}m7pARq6Vju5z{G`6>3%~WB-Evan2i_0;WzVQA3D2DI23pQ6}=vJ4bh6$@KM2*zAVML}bKBP$hA#7Rx zxc6Tt`1wk^n>+*QZv2ZAo?4;}*Ipl}G>Vh;jxmMlvW}OSG}2LfxwW^I*&3eD>~CC? zFaR63DAEVWXNaY9>=ZTH1KBk8a%xKV1oyvT`!5W;6XI(6k+<+fXd?Wsm)mc0BoO$2 zbf`XV^M(4Ky=v~rzr>ujAkS0K3*0kvB;(C}VADsv>YJ$_J7mT0Y@Y~DX)Etpy5qspu*)>KT^p{bme$G~^MCJrlbvU#}oVJy&H@Z+qhjf0?v)71C3 z!r*yj+K=~xu~0LS@kW488uq5YiTri+6i7ww6*eDKB*aNh@g9eRlD62MZ@(kxPT2x6 z`CD2|J7KIOrYKAAy)q0)T;g~ce*y6LHk70Fj_wx(q0O0=@xqair+D7td8$rtHN%T^F(~JlefbLP;lgDXwNs5~&o1JZ zolc7rA>Z2LB>8;x&B0CaYEO2D6~;Jy!AgbJ4gN6vI-ove2D*unIfbj9a5CT4h#cMh zC{Z;29Gv+tZ}B|F^9j$>9ie*94EO)dXB_`bgw6G&qeGU?4S{RNygZ8h=N2FY_(MRzImmm9KI3D9Ti{mejulur0i+Y`P zFq{W)UcmXz#;!Rc1?~6Y{NO$;dTR^a)2h6`u<_MS6?k)9WrH&8uzm7UJMR`Ou>c>N zjSUhbEOF)&+S!-F_GEl=Y|Zh;a@>B4|2ZT_;4_@xhF*X2ET}*JKm0ep@62<)>%owx zKo-*b2l?LyT>btr5a}nW&{qX@_z-xrwSuZPJ|-G)o|U&Q8C$7~Bk=T7?pu?S8NrZ6 zHM17G5)xqjwuE{GuVb1T z1KazMULnq3Og|1Jb4o^luxR7anV**kbq`+e+>se$=Xv7}e_rOQC9iqFlIPLfvz6X3 z`ujKwb+!|*(NSwjBfk>S-l$O5KR!^_mp@mYi0+npg}(P7{r)-#+EPB_4p9SZ!z5Qi zppVtgctYI|y69**rFr}y+rp0i82Y@?S8POT(Oth0zr|lw>OhEQ(F<`#dNY3>q%W@h z`0uXmigEE?NfD$cp3~?%|2CXZKfRl@S)VBggP2bBgI8sOutSV`Z+SUGVXWoFFUGJ) z5D&KFOJ5EF(ZL)}WCn`dE32x0~^pr@C#JuirU-fF?~w4}VQm^?WI`niBNYXdfi_FWs_4hz$Fc>#HD z%E>5dZva{|FSqhxA0v?L7Tdh`))kmr zglv~H?IA_xc)Oy48{xU9dpvrNB?m(5dYR7eTPBbnMB(rj-G?b#n{nkz%Ys`*bNSf} zdst(s_8yQn0oI?Sb8yEB)LwV0G~Y1>tFZIRm)G41aY7{F# zc7We}a+U)5&ahz4<9IgS+zBq>r23ep+PO;PvvNC zXmU!Tc%B~k-1@Yc8ITT;>=J*asU_qG`+Lxs=@D=#!r+oviGL^@k71De`W(Gq{PU;9 z{nv1R5rTg9KYd7C{|LYD$M4th{cL>y2%oRv{Uf|SstGN$cvumN{2SIhu3ij-uV1Bw zqVI%*Uy{tO2zwN4dn`-4bRZt8zBTe#9O)Z>r;xmuU<(_0-Q$xfn(%fsVb4%D((U;d zC$EO6R2@!V0NtYNW4}oq;H-Px@`Q^NQ1jWx&kM*d<66thsH)tKK*zZKZo!pHrzVdr$ zU*lgMm5e3GYUvSnbKJ5W(vDa&;j4hxpg3YM#NS5u6D ziAc%o`>qQ_w#4p|owtM8i_tok9X5o##q$`?Cp=G8er5JW)u8^+|CP@;{^7WI&*GQE zhMhB9*fo~v3$rBP#!(K6&rZ&^@ZxBPE4;J=l5~kwQC~9x?vyeWGx{l8KsM6@W$h={ z1U$xZ7RO&4UjzTP-MeGYO5g#U7jVAwcN1=wbqpl%gVwb8li^S3o?ZQqtdp=dXxwf% z-v$0?|UTbWOI5&*IyQXa(o9)&SV0NpCipD(@UtLGfKxq5 zDD3y3cPAkW1)Se;-uLvpn3v*>bg;<{>AjgkVan%cvB9ShFpMZReY+VBn{1z_$8yp! zypH&&L*=!qjqa$`=axPkLO#fqZ-ms9(VRkCUHZ@{n)|49ocoRRV)&lZi@iy929w3J zs$x3Ugn9+9W4QJor>OP}0i3_6&wL@9MY;)#zAEb~Ceeht2d{UQs9hUVWc?uUW>8$? z!zfT(@v(cx8V!Oumv?k{~FUb6WIX{eQkTqcqp0Sk=rdp{BEKC9^>q>WqoZUd~EjPF&$hN6XnH@;#)EXYK6q;{Hibul zo+=BSTDcbpt?%7P=hektGxWrMK+peNh#zJq3xUm{?~Nn$X=ED-K|Vq;xp$-u6DJQE{^`nLIT?Ebsf)F5PA zN%4-}8N%%HhYCG4uv3c_KTh5bg!H!S88bJ%VZBJ^7w0=^cw8iuVt{mfDF>b~rH{B` zp%JHbHbeuV$AaNu0JR#{#FU-p_B<2|?>m*SORA5#q-gL_tptI!wvhteniu3sZEOtA z>p)?|fR-F@0DS9@3Stm;hVQh$DXwie13T-)O(VA$FcU54Q@rT|c1wCSrylu$!{%>| z)4$L>vf*&rAB+-<;GJ^k@(2ek+gqo@?GTm_c=;M#rVZh_7sIN1?jKHoLR*HwWlBB3 zhChFwqjtm&id{ArAo9if>D2eF4On5mhy0d5kOgC@NvuD!!o#4^`--kHZ!pMEhJ1>q zK|b{V;>5KpqHRB23Fw!47Utv7>tt;1pF6#th+Ut4gG7P8dwRBwzh%84H!S4ltAl z1`}}U(m{s)=IL-alK1>%#ZUr>7`DWFY+WPx)8hVXxW5RlpN;E7;`&GUeLsG`hVN(N z`$zbE4euY}^^w7)PkE+E84zO3uZ8_d2EjZ5w}s}*aFSQUQuRqJID3$um>f(3niZof zF5JA>9hG11y2K{PS1{n~psOt*PP+ewsJBnrVYHhQtXHkwpuKnLnBxH<5V-q$=GR4<{A{yzm{L8n=Qn?Q@e)d2& z$Lz{yYL68um0ni)83-+Of1Sp=U7?6PH0 z%|paSHW-dO`|kQw^izdk%cfs5OuolrI3D9Ti{mejucnF~^9@|a7|sJYFW`Ll#PWl_ z;k+e*A6#AJX{%gMFoN#*9X0d0MvK=$L~1rUvwF8s&Ys15=|oH z&k+TtO&R9`sn9*vPl@r!g&3$Oj;0hnaTCMq2zKG$zSM>>a6fD@jVC<<4$Eo`jlGS4 z&?hgfq${H#;q~C!u&ysu{q4FRs2>gKAL@u^1RV+W3SP%-4YO^Dna2XoU)RMxiG4zQ zmVA&k!qr00%YzIpEcVEQz1 zDUah4p)LqrJWlNx5DA~#Q%IhEio{$FxfUj?`UA~*=<;W#FXt#;o%{xU=rOB~+v zXMFF9ZOAkWXCFX)JJJd2g;h5wUEb2{NB0tr^22Mh+eoi0o2ENL4&B-QpRdiRil*}7 z6+br^;Ydpsq_BaG2cPm@I7nh|Js@pD~?MOWn2Hq^$5-mss&@y_#n7Q21#SFC=sFH&H*TsSTaz z{6Oym{&CHw)XvbA{v|$!49&%8{v?KqApeg2FJ;BmuLaV?2$I~D{m>UTr7Uf^fAXGd-<7`hn)I*i0a zz*5Y6sjeX!yV@mHL2c~?n^!eeM$sJdPaJjh&6)AZfmc|omzmg$b>e(Wj#oQiaL0JscT`+6;l zgVkX1QD1Re!gKpGC`Lr@p}bz@Bq5)Xfzb0#N73va^H54(J5J?^kyO5MtLR312grt? z@rW0;>U?qb57M(N{WkC-HpLy1W-CLjk?#y1C&!xJv_{eez@SZl)rhzaL?qRAa@+Vr z&}PsPJ^@D{6@4$lYia_IZ+*$Vtsewec zUm)$r%K$-H?DQL`Z&|z7!5+PcpBOczwlHl_;*|v|J0Tlh%^R@4i z4}2^P@V(G?RL;lx2YBzGJw^o`x8j@_h>Bg^Ubq%Uzy&#q>Z`}kID_S` zwbUHHJdCyoeW^uv8SW&5EM~|2;i`Lq6N8}}0hdgA_{iwbMZhb)@1paE;^Esw!)~tBDj7wt`CXpAK~}?`28BbpN;Py;qx`Te}vaZGBvDR%jpSl za7O>0T4y3G3RQ%us6>Oz3p<@UjRbg=vS!s{DGQIA^BygIy8wsfZQCE+Rwu-Xc#q6s z={g5Y{hSLoDaz9xg9r8{5hpSIk3$lgOB&G9wx?$CxGdoDJ<>ZsrZIU2a=f_TJv@u< zkM9bfxPLYn`RSA>-^ToaTltgC=$IGq2IX56oD77_9Iph1qkaV3d0|s4vySd`@I1P3 zYc5I`^>H)&&njf9`oeR$R&S+j9T0zDuVNC3<_!Px6wg~cPm8r`3x>CiK~pIF>5ew) z@3!cjPeAuuzMzfaxTF8ODplm1JN8MYsC1Ac5X12p z$5|YIaeRGR64h;dUmwGH0Otjq?=;H`RO}l(2>hTiZbnT1(;KL2$6?t=3(73s$D}Gb zVoHHLE4j_q*yO2N<~AP_>=D`Yw^%3iUT^2~Ir@wrHe$pYb)X#xe1`K|k9^=$<6P1I z;XmC=P8v;(VUYZ7{)5odFsOORVszzbFr=D=S>zyJbeuP1O?dY85TSj$e>^L(BYZ*H zKas%GweQ2z1q^M1`c{=tHTFwk^)uI?KY343cK3Gz`e!mX)cC2En;Qj4N_%eo)!?dbF=P0M7UFFx*4?lN_xKUXKA9x}JrQo@7GZgV#H*>;a@Bf6zV%pc_Ld$DvidtjAqtwMw9u9$42 z-_$zNw`rf!`o>o+3Q?)qN)#-ILG8re(IN#~jLd@ZN6n5Gs2yze@@4UchFj~ecu?Mo z-P0)aMLNvM{tD8!j{n!!QNC~C5>@C0fgJESs=*!}=PU#8xA*_C0s$yd3|k^=D+%kdGYBpVc$@=c9;ue6^j7UA8&Izr%>PXX;bjj!7yn1 zA+gYP-yd33zXr}0y8s>k;lknTVPL=Y`@2A;2dw)CXQtW*A^irTonp5z7<%`SW*zx* zh@Y-hj}JyNgOWodFLjWAS3hw!`9vU;NvKI|?igeK9k;9G7M%f)o0g5((7$Z)u**u? z>0yn02?bjAeJKxv^$y0co{#7~;%QAk&)Lh^19QbB^C({+>MmX@jqn7DpB$Bwyn%4! z(^rM_$`@hRPl%C5%MbRSVw_+t^8}x#PwO?P&7qq655u^J0%}d9WL?PB$J#h9*rewA zfh6s;woQXPjPLn%YL40gYrEj67_%SXi)oN(y-ENm`D`svB3=8DapULvZrj0G?TWA? z^oVas_epu=`M}+dqiqIFK2SHyyYh}C5-9f_+VJ}23v)854OYZ{@QA7DvX+M*oHO#t zE#%RF%rapj5<29Y2ibp%?-&A6I|ZBPq6^_U!3dG+asD_+j=OGLL1YMZM4cRa-%4T@ zx&iCM+Q|QNg{v`m^$c8Sk#JC=bHFlHmPfB7_#t0PbrHr0FVH-*IPz^iln^J9r&dT} zkzV0oJvVgS|aHH-lhOIJ}ndvylcq*%jn4G$9MLZ6GSP>!QH7A|URUh1Kb zB;dl_t!E*PXg;#Ezm;f$R}s<%Vpg-z-khgBQ7L%_x(E0{nY`z?7Xg=;w$>B{DP_o|~mn$gD?0-uGRd3m+5V>*xHY2?}F)OY!jNRWzp( zWPW>}dI8O;{>2H`CFkz%{Dzo`U|1u^kUMB{yzw&X7lkDsIu=oRGoT;dPkqkI0Py%O z413$hk*^1@eD)-GdZYfR{g=nv-_gE-R-@Txw0Gvt`6f4e75Qo}NK_l5{Vl9)qDk&k z00DR05B{+&{*CTC|K(8;tGt0C9eN*hlspg-+`cmTfS3)%`&J=uLcVorboczKaD|exCx+bGI@s;X z>dK%IA9&cSu>UveM``JJ9p~!_fa@B^9vh+i+qA@vf~FiFLf+zejOP=crzbkMg)r1l z|G)DY$3GkwMe-6<`}O^iuK3#(E~LAG#VjiP(jfBcZS zLiD1V+z*x}nfwf;4B@WHXJ)dWrr36OQ$)6s4z@;W^MaF09b?Gf_}rU@{I6^uCf&L0 zhJATnMg4;59N>J0^V`Yofh}A6bN|DCy?br?*cQ+pj__id2I7}fu>zyDw4rdQv%a34 zCV;@3z6I)3A)|4~KlT6PS&}Dnm#B%72|S%n zdbD0Bq_Y?f+c)ZTZ(oUnio?2}lnY8RypA{=WMcU1M+CT>S#|^o@h@ zY)^*r$jgMf2d{THex7`1=81gXf6APW_V9+c`-z)G-uQr-!9F2sq!&}sS*@bCi1tTG z{mS+0e1Ntk#inK18stBlXvob*g1jx+xOccWm}uN(ndS%uLHCpk40OJ5e&^{?b(Hs+ zT+Eu{`IfMp#yhcsd?7bA+lY7~+~JsV`pS|l^4pO4n_5MW`14zt(Q-N^sDq8HOEpv<^@g&=_LaIT0U*SBVRZcGEhFHV8NrW`4{MXmfC)3&Yx5^O~ z+*W*&f0#qXrDu~VjjGtJE#pW7lMIa3dlhM-Ki?d?-gs=-9~vpauNCS1<%qd=vxcI( zlfa%=L#l2NR3^|yeH{J2_sBNxdxG@OsoAxKkZ-iXACccX+4@jBEEd*WqfPjIkZ^u9 zBSL$cK{n=(?l}j5x&D3oxJ0Dq4$sp+_M(1t(nyEyGiTIar>hvE*u?pGGao^O0z zs*KbnJooW0OJ>YWFnp?0W_6wt$4;vo-2a|nj_ucGJ^Ux!18aL3EG-nOhgAS|rU1V? zM*WqJwE_7gC_nSsKWS_aE2j=T?%4Gt#7Xq6_RTM^+(D}%xsWU6B3#`t6TPGB3b_}O zSC$T2z~9r#R@t`Nu&12my?UD`kUlxUJGaLGkWe3|XPGlFZYG&|BAqWhu82;WGYNc) z0}Zcuq(tEhm+ySbtl;$mIz~o`7}O^Xjy*kS=;;Xe6eSg=yWGJ0_~virr|A9LZ^aEx zSita&k#?gzq)WxoEKzOl3gJ0Ptm(hvfZp3@3p!(9TFQzs*hdq%*zGDSs+=I{^~XbX zm@U{RGVfud(1uyAnb$4yZs2!c5a|#j{_ZbTU_^B+jtl#|_fm#5Sc7GxFw-MP3HVvA zU1MGD3YI+V#xE@0fXtqgmS!EzIdNRF9ORZmcRQ6oS;k7)B0;O(f!Sdr2E@3Ar|zM8 zlg~>rDpNcZ)_D2$r)!20{AqFjHQZkW*U!fFA#wd9{JtN*U&Hsa@%Oq%=sf|C&6D@*70G@d<$-TyO~Xov0&B?T$ml>S`(^!OB!<}gSKs9n-SjXVcY-pA8kr|uu-SB;9c@0O>+uhdah%2R7spqX zos)aU-WXsw58%9j^PTdG+9+E!7Xm*#kf(Q!=tX#&sk9U|BMxjzvz+a#_SlhMKh{LE ztT1g-UggJzCfK>)?suoQRItdZrm;v@A1vwM#932%Edrn6{Pz54lE(Y$!~es70_S`? z3?2l)r5P&i8dG$){z;EM6XE{L74|arNim+*mzdO+cp03Qa zd%uqUo;P%b-Iq6f3B0>+)SBm@bRd+b2Kx_9IzY$}7ysf&IDwzrXCgLqFZjbZZH3Nz z=)DW)cbxYVoW~vFy^%iSY4PO-)b}u|N$K%N_qaXx#e1h;g#l6EkJ)$pF&JJ)Y$k_q zv*;lohcvs-pOFquq^<7Cl9Vg_iLu`}bi)Ih|NJ>yxrlWB<1;s1#Jr$Uv2?Whj0K@y z!Rr{!(N}-!ke>_AUmrN_p>`|)ZUnC7PuC#byqJTD+m~J8bIx>IOi&E8MQufq=LJH^Sw)>&axw79 zRO0cm)KCKd>s{oLOmsqhtpnt*7;54P-zR!a|MuF2XxNPma>z)J!O~J#3Uwla!R^P^ zACH76un@MJ-%SXIkGrb#{kEY{a_KaNq4&_UeWbIWWnD2L*}`}laVM<(+B<>NC`0&F z<@~fqjv7o}y{bRf$_Rc`38k7Ome|R`xYQ5KUT}ZP_AZCKCvZfBo?1(AgIB*|dQ+vH zVc>Ao7hQq>`Z`HrACBHdd+*N!%=K-39l@hDetLW9uS}8q%OyrL8+hC5*J=~w3D^5b zI>pArprPr)Al>N*I71WtQ>PmF(uO=;9!I`#BfQamzmn1WH7jGON3Ac?>oTu1yJCP< ziv0K^GLGsU>8Rry?GA+Bhlz9Bq;_=}MA`Jb|4SZ$=7Jk*mT1rJ5wZK>wHaxx+rT&CUoPd8PPAnP-9bnWCaLYR$6|d8#bH(6-f;QR%-yCiUl__!R9*fa1m?O- zoQlEP&|UkY{B@x(bPK+sx{d1SCHtN1P2@8&n%tpJhJ12K94w!S1R=lmLFK8G^R|y0dkL3*k8}L)E`OoMK^I*z(IodtKPwRiG1h5x^Ys zf0=y!ZHpOu7aL5nOMyvext)cpEhe^oo3$6|W~kiJejlvk238>wI&Sm9ggCjOMDD1T z<_jO9ZU_F>wg=lc@{%rS4)-S1Df7}*Yv7?g6ERbb^tx1Oo+dQ~LO~641dF5*oL?KB z2}VBC7L0w@g1Eg2adp;X^{-6MWhe>#kun|>1jg_>mABIm9v^w4XH<*srp|vWI;sebHRp_l@gd)o1|hKYjk;tyEX&5DEBIs1pdD(KF9x==|X*3*VE^ftP_^>h$!L zv}EMF7)7%7Qw!ehk&HOEg!H%yseTH4^+0+L_bAyfSiyy(?X3JEJ|N*>x~py!1FF>x z&n0~#2)M8&!LQ_8Z4WG4M#GnozJ9ZEsnNJPn(sLs8BciR3o|=vJ!`%$1YGjpUTTg* zK9)xl=IBdp;vry?D9t=G5g4Utj}7<6fMnWbTYcjg$ZDio-A9b}5VEgTJwfkjxIZoK zzlQsZ;QHCPJ|wPxgx~k$_iOlmHokv^&)4w&5ndmGfhhOoKM63@nRQ@O!xRpNso6#k zD8d`xmFq-#x`a4+ea~)_e%ctj|83fTT^IQWdv#^m?xO_>wZzf+BgUY(#TD8)qyu<- zyNU`Ne}eAJI;g0V<_K>hA)*33-a=EuNB@BM%^atgYmj&vRKJe|h2iH;wns@)pTRe~Pe8Them*}&gy)^%u z&jkGYhl@HX^T+sJ_`-tFc>$^lSrM5LsT_JwU~Z;kYxO zJ>Kxh!Ww(a9X@T)ehzc{{{oen-^VyceeJb?28&UXb_f?}%LeguAaG2i;~ znG4!;ok{0$%+-g=ye%aTQv>Y71B%hKI%VusjpqkiO+}2&N1aUgf+Sd*wmuq2aKXN4 zI{AhtNCD1gIKKrm+wlvjivJJ)wI%y}=O?{>oA=fhXG6oZf- z&p+N&?qwOhdp8bno^6Pu9aJMqBJi|CO9;1jK_uL^m7$}%7(w7&+F$bzyFH?zq^L;o zJ-X9Ax7tm6cq@;<&zs$6?voZpz{c!JMn9Vv!1*2L{r-Yy^RIf*{lD}_nWO@=pG!78 z7FZks#$nsEtmyN|sqWl-Z(M-kbwo-$rfvB=9LgfeO+FF_!?ely<}@@9^US?(%2X8q zx6Ms%(p~Td0a0d+MBX4s-Wa;R{KA1yui$meKz9xg*>Viv{PjWPik;xTIOI!Q`t910 z6hhsD*E^?aniABwOab#aOk5JG3{E{qOsM^l9~Q^nbFeOkohp9btaQy1!av);)MD3# zuK|DGq*kbbrk|<261^Vw?aZ!DOu=Eym-3~7^Rfus$gDm;L}ZWs&N$@As;P_Rzjlyt zMSg<9gY~ltnoMBd!!UjNf*&Z%kWRTWnSg_5%?q7wTLS+JHYW9A4_%>w@0y+1yfQ}g zf4(-Oh-^mJc_uZ1T>O@*rdvLC=}P^0e2fF~rF8hzOW^=qD--rXKh+?M-0Ty*k}dR| zJoRHh%>g9UylB|z{2(^OmH2>eG+aksvDBP_z`3aOcwR0LzWcSSu`vY0iy6s>w(>Dx zA#$+006f8FKiTq-i#058mbM;}bA(&l^-qqfOT+xOYmV6&S;FU{>WsOre#8~VVp)Ug z(O%%e*%5zkWp}7qJmK?j#}`_XLsT5kBA>1@*|w9-+CX_+DylzD9D_xZ%#zazaPaZB zB&I4+Z1DHrhwC%SnA+vXo!3vF$KEPYp7;J64y|La7%rhc(PJ6~Ynne^fd4*3#jgBJ zDR%;AncuBD-}FJ@{q%4+kuzNDG~AfFZwm6VB+uzz+X8v8ehk%&HHb@E{4G3T3xbiV ztF{?#u$WJ=GIi+;CSZX*`^=~Tg8b5c_NCTv@0Kjn%j?KzXXlhQ3G&1B(igSg#`Hn{ z!O&-R+5~K{c&=3`-3jox*(lU5TN%>^m7O-vN~DuA&9mt1se*LpKJKx4B7$_2i1K@8 zT=OvRzn4?H9~lG71nu)JYUC?7XBDop?hI%11~gr{LZIb><_Q)CREP2XCfg}OJ|Yn$ zCf||Y-PHTd(v5)#2)F+HQU~n^mv;o*pI>r@n*2ZobF_!H5a7@AR5KRnr|i$!qxqpp zGl-jRPl3VHnaTbrolxqM88^2i&@Qi|aB2mNZZ{pypik2)U76~TfBb}a#aS&C) zKO<;v0^4tyZ`gaYV=Nh(cjC2d2yr6nHYr?|Vu5Y?EoD-adLiBKjV9}PQ^+|p$u#vv z4^udptRBZJ35!QRDg3t9fInRw6COO;7{kFmQ*UO`oty~W*Vo4+32~LJ5$(AVr~t|4 zDpnol=GYT)-9sPvEU+-Dg`;dbW|*-cZ@99)DM+X~*?4kFU}yIn9(VAN#Lg{pZS$ww z!D-T2Gu6FT5OD0I{h3`=n12-G`2Udg-Qiq@Z~In+ijY-AwzBuW>@9omkG=Pv*(8OG zjD(UX6-o+E*`iQUQc6mpl#&$r-S7MB`FxM#{rWFQ&(SBY^E|KTzOU;%*@V=fR7q@u z`HU;T+Q(b$t7h1Zs`nr2mTW=NO;Y-Ox-DFy33n_iae>Jl%97Ui)>uEqeb3D^hS;4F zofAP@`b1u+C;dJwS!;y}io~)@(5hm}ax6iwiuEAgmdup=w>-9*mb&po@CcEY_$zJV z)zRFekEoi&QFnDHSwDX!htCrGR1;fZjn3M?YLBnq-aZORo`Oqxi}XM)-|=Jn2Ri4C zDyp>NktF8R;`wWMz6kE0jr&95{zv$JKfb?)&u8QFNBI33etv}aNAs5}jXxlNzYLAa z1f{e<$UYV6=fe>|tP^9Y7*n5&6ELlqJoV~QAjA&ddwn6oA5P_jCBAAxd(Qi`%?Nd2 z#QN@QX1upO6%FPTw}gutm9cUog{$MLKYG^J*qD@0*+GcFa@O-Cd2H9Q_$DnLL$Kqt zTDAAJC-Tn7YDsKK|4|Ib(E*dJ$Xi@?@H$=e%*TUna8mlCkO}HC4(sP21n@U-VG%Gy zME=_U2hTYF;k>xSv2&Y5%@q`a{AY_P4T-$LaF}y5I4B6b{}fg^Bi}#iA6{*OV#uHV zAMX^M722a2g6?GsOz)W@-!Ytzah}Eb7w6aJIYo-3>Hp{et_!%{ao>8wMavaJ)Q9H5 zWNQ3}_>5)?J@V&Cd-U1ikw^w? zEfT)h?204m8Ln> z-DJ4#^}uCY0&tx@v%lfhTO(VdPN$9PK$n^e$d?t@8=#*XuDk3->Ky&^o}m1G{xjuG z0_+$y{4lG$Leyth7t-sB^vJ)K=Ih*%G^9WO^c~mzRH4g7cToS@T|1Pn`x=dyi%C}e zJ&bbVNHp_m7Fn|zmnI-CysxuX0PYG1aq6O8^cke#|1V55P#MKl}O%d1FoeF7#bL z&EWQ6fRJD9e(d4$&u(*0SBSMPEf$ppc<`q8Tb;ZNQU6_^B846^hvkqK{iIbc;`cv3 zNj=nmLh)WJSuLh1I=fHGbJWV--iiapc8v&w))Wk z%rDdR*U9*TFT-b*8ObQP<$Tt3v@ig?icEUKZ=rdW$SwV6Mq$u0k#umX0?pxEv40af4sKX{y&y?$-XroKStV=WH%@Ds+87iuk$ODo_3{eP#xRPlg|^&N{;9 zq`47sw3oI#CBKBSQ=y$o+WZ@@Cm7i&SeK5oVie9vr#~nGme8D3o04G$(S5s%NaM}H zz-fyqb5skHc=avd**Pnan0=GwY7&m_e`G8qzxe@`a0O%_e<70p{rZ)hF65CnGX-$q z1)WTT&!3*Q-HTG^bG6~+#U6^fu&FX~vP<^Wrd*_k(loq(bK##j&9*G&w5?e&S% z6SDcg(_f@=z;dkAL!y2f!DQgRi#C_6AoL5j?OIMKNW3l7d6jJfyQFU^T2&jv@I%Y0 z{j8ao!%D1_7q2bgbrZ$>qfE4t7k*rMRF?e86%2aKPssey0r^6vVxF>4OzTMx-z;}2 z7CN*0Xv#w?F#9-BthopEbz2id0w+!3{Yfz|pN0^K8rAE|H8F;2p&;A(Q(kbwt%8HK zBoMke)5$qGBY^x(f5##^H@@UP?{f#u>)7{(A2#_C3a4*-GPia{LHEeqw1_ zG&Al7o`e1Yd?fy`81>de>_iCgQcfwaFZ#oM52NpcqJ9uMP3C^ACIE#0QnEj`GKYim z=MzlOy`$Jy!58k-1klf7dG52}1&`P6&Ifph!e;Z~cR5^EaAM$a(ZoDQ6~!%0=u>dzY(zfeOCA#MR9uaTb%lM+xg05F0ajiP zkGXVEj%ry-P>L(c84i5etShMq0t0OK^GJOl%xKu)MVLK^ob~gWd}$49L5m_mMxM~M z=q#ydgmSmiBP9(5Y=DsRL$kx!0@!K#mwmPE;EK5nl`0hlc6Kckl)7 z)L#V+x+3bZeRI~cOVAX~1eViQxLCrS0qzOws{io9gTLq6f7uBF&r^yb8X9iUi>5Lj zbT)+V%2S&c`z&BZ>3$n0@=3sX=|!Yb_rbU7aKw2&$KvQQ?7*wtm({j4KuX`8l9W~k zt34)KEq_ZK4m>Gu?2Ot4_QEf+rp}sUk>x>y3Kkle#CFCPk(-vpd|Etz4bKBLy`^f|%gx)3tgYoc< z4&;YT{Ufc?DH@&E{=Hy0hH~SS*~fD89fFAU{b=UdOkHCDEKCQVG&DqhCK653A5jkI zMYFGkbIB;5x?YW1OU?vJ`Mt=#>meWhcWTOvf1Cj4ozz9+csFSyB95-M3REn-aRRvk z58r3pZqOoPuv-P~`>Gnq_;cm?6LE^;7RRZmaZ8bpU!`u{T`r6)ajXeQpMhW1=w=& zjo`LNbEE%sw?K-~=b5DvkAd&L8T6f_v~nPDVtBuT_c8Z> zYy9^2AqQN)?p6} zcxB^)RtW*_=v6r~HMj%Ip39<*T<$Qv@M*$4$_Vy%EN96y)4=JJcT=jNPT-TnWD({g zhjhEr`beiAcKs=({S8+y>{oq3Bzpnc7ySDC(KH_e@XKGhB`kbbJ!bHg4JBC;OSgchi_a3J0Z74 z;fm94HNj~bU?F3!XiOsqZ4zI(#AiCdy8m@$J^AAYW6^T-P%v5(+QphUmUW1qJzEK^S+K^-W8IJn*FSdf}trgN?-(Oh-h{#)u~W>vEa71ELqJ>ep&$5k)Jg?wgup9D zt4(^L|Cw_s<9~~+xMvMkL;9zeP>!d~?L=O!Me$@zu^#1d-=j4M>&L?fdNR~fb z+#1N#RGi7<9UmwACSki4KsZSfkBOOySg_n zP#Lc~8uT&@cK216R9p`xKDRB_=gwK|3YigotNWACJoJ6;httdvaChuvc7t^y&__4pG!o}DHggPz}Gv2dlb z&JEqqzB3Ph>7O+eL!eVri67Cogc+W8{h@%mPH(H)?x*u#{GIi5qG}sx!`shpPQmu)+6x`o2W7{SN6d_8%S9goUA;#}3 zK2w(Pf-F_y>0WVc{Il0`-cuzY-7YqIL!|_=I_=Nel&rBuvI}lZfnu2Z?PrJS*Dc{o z+D)~n9$gI2r^WNv@O%;6KO6Ul#Ql%({eFCZ4WG}(=a2CFHT?Vt?~jb9ndH{B5x)M_ z$@zPS2QRND!RIG2I!*h$p!$=*DoeaSXj{!O`=2-LFYd5PtU3dfXVN=FrnfFFBXsXJw?BF@H`}Uk-`nyly&wR{d5PMcmCd4NU{*I zCE^Gq9~+P5y1^I5JKqOQ2w<^3-!6pifp=8h5?dgUh*KQ5I8H5M9y6r8bb}iCl~0<> z$DxZ=?NyKpx-Z+k@B4d{YlGu0`FgSfpG!Do@@kZibjE_k2F=dyQD+#qaAdENADYj} z4E0I+=>46JU1?-R_<RiHxq|Xi zDeG1eq{eKCydid#;n|J1D%B?baPLZT`{&VMc>a1*|I+Pvux5p0&U(Q_J;U{lJd7pPsYUa@ z^zXdOhr1DsbQnK-<-!umvwIhF`OYAdCT2V)b#UUjHiqjaX>mlpl;;r)*VzfF{bSUI zW<;H)=v*}qtyYC+hmTo*Y(lv-|8!SjZ$zh+hBP$u)u?L;Q(`JyJTuj2E)n%v?HU%@ zGlb5mM5PisAL{|G@3`*wemm0kv(66Qe`F%4qWm1@@;xp~>Xu+MDRI;3?Ju>Ld(AR( zLN5{fh}2p?n&X46;7$Lm`S7|me4^dz3iWe@Vum}eXIx!icdzDWac`8>VDbyqO9bb1VX}->K1C?n-!H2+zk^Jx1ujDIpMpWdC==|hh{+k%T zN^H*gUG>r~TcCaVI9r#)3`U)$_^uw8fwpgF3!dK5fui$?njXsb;P38oy6#vQT(!xj zj~Gb;ap9E*W9kvmYFOkOuow^H?}Ik`kpH9Xg8Rl1mSm7*e*MInJOrp-B}>dV`G6sp z-PC8@K$z*(GAnd-g&P-&_qYkD6F+ak)hVyYQCmn5E3^H`MgXppZbGpFqoh5$ z7uuRzsmc514?JoQHY25vVAij@&*Xj5$C_!+G`5;r1LyDq?a*}_7^I^*uf59*E25cA z21+~l-LlnghWxosmN4i!p*{B;*T$H^xd`IFE3n>nDKXp}wB}jn-)d7rS!x+mLxUxp zbsy&wja3KA$@e4H)dc7>F>=a3-~}pTy>k}%9^m)8uFvy&Abe3fbNA9+JB)nU@90pI zEi`>v`BwA66=wOZ?wvt<#xX4M`-hkv;lOtm|J&QPke|twuEU;-9W`heOG7>dc-@@x z$zJ39r33VgQD^R{dV|Tk^n=fu&4KjTF_TMLkyu#d+1~om3QTK4xnm{K9@q~3jkI=m zhoAh~3`OB6KbXM7(@_}>6i1i~-(9wYzn04t{+_|$aJ(_wWOpQdJ}Gl;iZ21uMo+1X zpuN6$bDIva2;|Q^(yGQMf##;?0uOC^CquT8Uw1-BBFg#LS6GGiSSXc?n6nY@?917l zoB0(5C+^KTaXW{D=BK?oW!vGv`hBhB@n$59QjPOGMESVv{UP55k>5a=#ncQ$`UAC- zX>xjK2*^YswnFpufot*~pHI6&1dHBZx+=6^Tc-Ybr!9*3+-KWs)(4Kd!uPcur`mh* z5L+E#oP9M3BIzGAv*%_&V5VT-_=zM~)l*URAK`U#e2fan&W()raeshZiL6&^^>;m-CFspFG8?ihNN6_Bo&Z zYx7G2#(NKDe4z>f0b3FmN`7Z}N(g>5gU%oK5KMLq*8D*yDE?yw+RINqy!)qLlnYQa z?y*!O*nm65q9l~MLwQU7(fn+AOzF);#L!V^l;6?thko1|4jTM1G4R!gO8-^ef(ip5 z#5D27tUAGI9R)faQ8ywlkR?m@P92z6`>w9e*K~sp^Ii^dIrYvG^{d_9+e4;s@Isrc zkC8Evmzpnf3cc9Sfihm-7FL79n16b;&-1G?K=$?SmWqiQ7Ig9}H(^Br7$@iN1(1*e z>#c_i-(BpnfTs=w%Q7wOHMfudAx(EEEP3*ral;r(FFF;cg!W+Zd|Etz4bKI~z zb8yvkP`Rn-3hH|X=^6(Jfb&kED03H8sRa>7Yd_p439+8Qs`lu?26{i?QaP?<|2Pcl zIBzUPS%wpFisKf?=^svC;6++$Y7?ql8E*hL+4qN_|1Zdcq?UkFcd-( zkNiu?LL>4{K#dLQgDlh+bhDL@ifo~LsLIqDat?oJGwL!3EA)UFHbqe?3)Bbv!!3?u z98Wk-cW2BW@&~W~!ZXf)I4}Nb?aiWk<_#4hH4HH%wnW|-iT(Qdvv?$^le@Gv4kbaZ z82Y??~}8^4IXCr_Us@-fb{IRE1O8mJ<2xXUAir~|kz;Ch!O&GlaS zj}1{D-V4J4=w&n~75eVl3l20ly}ZUTb1fEL{yjA3h0e!67~GI)4~vFR zdsodaSY-g2Z2jL&x)`FK;reEzTYn;}$@stY&%R`pP5q-R{7yKXeW=+6W>`!t7pyjW z(geD_l)lMgxNdru8JVdU%3!$8(mZCqLFQ#j)M@1!Or|)(5H87oU{-wLMbzE!J{pbz zl;3<^%;{`pqzU{H^6v_tZ6@k-+?_PJ+et(d6R{;fa17<3SuPov z@H;^P=`H5|MK`#qD*r*GiXVy|CjOwYY$o;*)Wcr#rn}rginrS)#M27Sv)9a43|XTb zCf}aYI9pK49lx|Os0ES_VtG4{+XE|GNUqI@B(Yz?`xshpkID1J(#UV;|La%HU|i-8 zb~|)${4BL3N z=bAGaP;M(etR0XKBR~Jd?*D}JS+uH5IKvmD<^v9Ei-v)s&gA6+3VYbS+CoU*K2H2x zcls0eCKVIFBiv(;$Y3zsl=9U6Ba;Z%e`M^`{z`!;HtQ1B{6ILGx$DXqUN_9!gD?4x zSP(YP+y28OPzq)TvtMLeNMgEAvI4D*!Y~<2H4e5(F6{NRh@A-X@w~6zaMQ~$9)v_A zeBL!A!vFr5NPZ=MjA~*Iom2-EMfG|Rw#PncZ3{W?6}HOoy+8 ztM>&2rNK3F*U$HD$lq~m%kH-sn#a|YtBY*Ufh+e6p9Grb!pz6OOHyrnOYHDv*<4S!o2};N+8+;op6$6}Cs4kQTF=DeM`#b;`G{o& z>bIDMxdz@}O9A@YzsGwQCE(W6$hRl0Bj6lqW13NOC|uc5Jt)T$39Ss#(fk$ZFqP=t zokC*{hr!?7hq<+XKBEufh8PPIj?lwl~^ZtFYjra7x2M`Bs7hGUr&M% zR_)U=k{)P2QK@d`h#t1rNiHqtvk_Q{?bkVT-X6}4@rI7j8)8BxpT|${b%3Zh;kcqNAsEadJ8g<87hdYh^{T;DXxv=MFyxg$*jQi#D`ED4+(z^p0QudftZTA z-A%4GM_~OO(<-<`z?hzuyubJv?FBqrqrVv%iQ)OQc>WrmFM|7LUYmWIB_8b) z{;ThWz%BEfq7$J1NUY4AogWTT`jXlAh(O=tu8RE!JfMJlx%c)HSqy8sbt@v%5R$v& zFJz+r9_O8B=k7h;X>?n&C=YVBv`x3!>itk_LcwPEyG%v(NHBFj3(@lj&PlZ z^v5nava{CkH}&bDIA;jV=MNhn2n~jJ23-l?I0<0fQl{UD_AqeV;yA|fgyYmrspZSX zs(}B(GtPfFFN$`3IzH;-4GM*2*9Xvi0nQt~8m6~`ZY4rd7s(wpqg*&}LRHu=BaO&A zb)%LG<8uX&|0;?9VQ?Yfe2nuf&c8UniZ*N2D+MPIbpY1|T<>O%W;|rl_aN$nHE-h) zk_uaR_HyjShb(ljR~umz2aT2@!w ziMn|f^R12^3dC@oWoJm6l%sILaGee@J1tmVtb{FC=e@7~;YHM4s^@kiD$63+ZZbL{ z0clO($Z~hQ(Q=!p&rQ>nHikoDn7mF%xaz1FhU+`7`_iAfM83&+g0pAv0#&>rwA7UQ z?N)LJ>C0!^d=1<&@`In}>e+4+`v`(|dzM0l4y&*^!sf~l7THh*uGz^=dYrnSgX z#(r|FB=&4sVy`a}rk~95LI=eN$sSfKV!wj-F;sgUgW~I)F{<4kE-*IeMq@W_WiJvXqgeYb3D;|^YQR<~3m+)!S@uh%}?zR>voXTF5J zHzXT{(-)%iCTfbv=hvj{;fTWWckc5p;BqxUXe-efj#Jr8+w_@X!gUr^4EZqK3)rCawqCPw|Cu#{y1+4@A1`4jQvkO zhV_Q{c8EwHIOztIMP03T z&^$M{-RXAaOU@u<;h6pL0=jq6P}STXM}8hgwr%X|DEIufz(Eare_%YemT1lx0@7Ab zs=o^PfWYBTF{J2of6rjL_pQPM4pgl&3uM{CpOsnti84*%=OwsDzrCk`_FxO-&!rP?P%f{=^!=$H@YN5b>Piq`*DZFtpriIsv~C(KCu#~j)0J_PVy>`w^Z7xE zTwCxDb6k4lZ3MOpG#zgh?SWcWx%b;~f8Y|xjqkAc0};b4|Mi;x_%=1P?yJl{j`HS) zzvQ+Xx}ZIyvVHGb-NEkopIPAyXAu5%v3M&J>FS{DT3@0oaGzJY&6R}q@mvZsWJkWeS`+Y^>fWiWTSIJyW#6ak5Nv@RnnK2WBtKY)AuU8_X5veN0pz|u8?eeq)>(_ z8SDRgbZ~gZ74W(#Hn=|_TJHfWd>Kv*T%K^^tL2fs2A(h?X1Q|hrUT|#)Le03z7VS_ zyKGghfX+Fn_rA+-@PrM^(>QWeZQ^=6EOnbrMFHUiX zb^PE?H?L#`@)6ZMDS)k<^apX*UI~_=09Z>uvY4Ui0mq+h%ucz7fSX4Q@2-I$;&Ws5 zUDW4FeTnA+SCvzJ_ni%en&AhReUNV>*^SE0Wr|Q(u45o`>j;A=bILC+i5@VU#y0e^ z-U5ox47vVK-Q#tlU3rW4&agg^zI34up!5Y%HJ_UmR67 zN4bUGVrg%+q2IXj(Ezyz_`5!`vk|w0)A5aL5~08kDF_ zW85HbhpIaDHQIZ1m4A5w-3!`GN1V4kMUS0cS}V&&b4)jMoEh5q-NA2rdapr?Ei5dP zdb?aS1Nrjh!`0ISc+Q>lyD!m`$P0!n_fCv$2}9gt8z~D~8n~1|7p0E${T=gfV-`Mi zPs4xB;?sQ_A}{p`AB);=?g8gU9eGEr2w>BaXk-`a4zgU&KkL%lg5HL@`MR?tg^u_v8C(_|4-NK5 zp?tiWZ!iAth?&C&cU~7KMR!l>HCwo1^&Q zM#S6Ixn7e(kx*E%;N$%(8wPhbWA7Y7bJcc-xRMfHI6=;?Y+H^`zEFMt){v1D0Rk45 zuXv&yWgNFSj&VHUIJJmM{!%W1{Ph11o^k%edGVaMm9fT456DurP!?iAek1>Qqpex- z+mZJ^Am=yltby`V?N1rEXV3qKcQ}T{)K>Q)ynf%A>s1IR@-fb{IRE1Onj-L7RW-_q zr~|kz;Cd%Wy@!-?+JmSM>ZAo9BPrb=nK!?98=c#-HzlUd428h&uct(&90H+h?*N^6 z1nNh6g38~<`9ijkJX;y^CC>bILga~GAW_e7ee=!wvreI{^k4eN$b@N`uDF9(-^Dv3 zE@+?f>hXuQXkX_|?eKk14pX9T@~w%!6kC73qG8YX3l+92y zlS=v#bvIS7O8Bv(7yPU_M&EPJ9=+F`))t7UC+hPP;}y$Tg!db(<0Wm@==b$c-*Mfy z$x>r)+6n+!gMbQ~1|JAexK}{>*$?f#8eG{%_p+b8txwJC))V`PA0L*f{^$2j;=gCl z8#0tfB9;4CHrWAaPag{_xZw=!3ww<@zznuu>LmB>xB*{DNZcbmAoeSGA9G-KNlD}o z0dV~~lyW9rS}Xu+-aldwLHC|`--Gu%ap# z^1oldlJ%o=BMzo$gZ2b1=lz4a#P2KeiB%scl*d}1?<%l;UW94iUslSzApy$wdK$U| z8L+!?0}B0?Z|*Ol`!<*Q`90izF!qE| zJC_8VD+~B;`=I({n-Or~K@INOyyTN> zLwhHRaRO83W-Ubt2W;TQBgU z&dJLzN4dpjGW$(OePOK3yeadUK5P}qe$CrN`+>KmwvV^Cz~aPRQW>NhF-?-|hgd?O zsJ>E~t!S3#q1$2U2A`^pEOJs{OFl0)qvh6j)Ft}HbDQdvP?IZ38J6=X6zKSg7lxy zx3BWZ5$lS-_Df?yhz#`osXZrXs)T%Mv@g199{@sh(&3W^WLRvi-13VMEz=2R~IB>6D@_t0ceFbXTNJngVd|ehjc6&pzTq9osytS1DpSTVO3CuSBT$gyu7t@Lc_07q|5R7x+XK;`zH4=J(#;iX!-mpc!t4`FmlQG5d* zwXlSxj{eRSWlT#%=>_lo<5(|`kEg*)Ni34x;v|{53bvj9k}Xlx9y5K$e>1_*1bhB# zxqrjL5U3u>I7bzlVF?kY5~-B>km^li)cxKHTVHTIsd~{I+Z_9w^qKIZ2hXR)^Vjfv z5!^o;_lLy&kMR9|e18p}&&KDE@cT95`O&}rXpD`yg5s<%3?>Y-J9qg*R#pN=q8dP~ z@8KC2o-}m->C1AGg@5cg%!E{St&*ETte5|rz4;D6`Ku!$ZWE9Xy{7sixhV*@)Y?i~ zSOLyER8ZJYUZ76I(Ov$@gIBKGLQQ%7V!Vh0bU21_iv{~Y`oyg_0_c4O$0?3m9H-8q z(!7nRkLFLjHHUHM4_k`?HJvvcx9PA!zL}q?f0q-8xW#dd;|a%G*YgYR++}wEg=d`q za9&)@qTjhCc#?KBh+smIV@d$DKZ!N3Ays zCaLWnn03bx`55O}oPTkC{dig9Y73fc#dQGJ1zhhOoMwwuNr9*jrZkbY_sYzm*?HHU z2w5jM`hx8SReU7y#2XDrHiW>$sIts@OaLr(*a)8d5CmO6L~U=|qx*!h#WVV7z75wi zT;KlYWMeb!8t{MhFIQvdN5(68?B`UuTcPh!&=#Mw>7LfcB>!f=H{dfO>gHtPo}$(i z6Aahc*ETL@j%`1BaGkbIUC&K1oKwptbZb(DSQ2$NJ8#xQ$&>`UFV8V>e~<>7#ON=x zPu3CjSvtk#X~o8F%o(yjyD@M8uJ5?+D`a>7*hJ^_c1m>x`<`pUUyjp7Ru)F^HjuQ< z?w%%=;kCWqnqEijBW%WKFH!0lK~}#_@wv-Nu%v(G#N9!4C}2NZRyeK!vMiSBzV=+$ z+eCfs^)hXc&WH$$z9)j={R-a4kQdn~NRujHxPGnY3#Hy9$bz(&L1lJ`GO_Q$`<+*U zEHAe7Y+#>Z?F*gTmhdR(r~ZB>3osbicMkJGb0$vxqNF=$uh;iPcF2$|?4OSErJ~h> zN#n_@?0!lZZ^cQL$Y8XOuao=KR$3aOst*O-y6cOHtG>wGAtzwc_fGHfD0ct`PId>A zXkIM#)GhakX_QZp&k!D$Xb4vxcz&Je`;UKOa`9V=$BhnPPybQ#&wCzXpF}pvHdI+ak%2di-_-=7PnkoGz4)m$YH7?bW?b2i-L zeZ4>E_JrLG_=Nn0o9A42>!3XJbOrNE$C3Y5t;qcq>IiuAWtZNMy|Hk0xwq|kuP;PC zdu4i&!42FwwM#8;dqOQ!)win#*1&W9W{~p-8e+dP%&`;*vnR-v0r8;J1r`=X z3+%v#f2+Kb1vrmgTj3CQK>m$f6k>la>v9xM zV3E6`qO0Hxn8PpaW?5^{-w_?vSU~g5=U-c1A2S7(R}x=tu=qlpl;9ugs8C>7wc(>y zj|TN__6s=-(eQ+hLXJ(#53D=Sv0ZFOK1Y%59HG^*Ai()}P6C%pMfXddpSO9$YPx zX}9ZXZ|H7qPOnMuht)S@>TNH>fnEBKDB}@F*mxxR&|@|dv^xJ#{+16TK3CS2_Jdi? zkvLZpp?|^00r|zAxJo|5#*hlg%)ju-ffyLt_t>T@KM`bC*z%hnxWJ!@Ba&A<)Pd~T zE(oe~C)SBl>7V9)8gcBvZg-W}WFg>K!WUK?;|^pFLk#L)Ss<4-`xyTreGqC-xa*wl z3iQTtJlO}>FsC{v?sYK-bl>vu6`!6iv972C?eoA7{Xf&4-?&>V0&C^Q9gaFmw6A{u z_=(@V7`IkVJd*%=FSPt{+MC-9IvkdV3)oHJvoL}1h@SvTrFEO1(79po6ESlOc6+#* zd(}Rs&lcKF38gDK06( z*NHH_=zUfg^Xk#g)D#ieOmv%Y`RNKZTP-25BM0Np3Cm{sW+05!N`)5cV%IJv`Y08w z^$5Sw3%6}DfST0mVv9Gr#C%#je+|zU!Tqywe@NW_2;c9=_t)_GY<&I*zhA@8kMRCT zWk_?aMIjUpo=NxH9~MfiZ?hI2Y^^v9*xv>Gu5~komq}mQvyCmm(a>)1COV(cdm%JR zpQQm~k!f^ArFL+7z`Dbt!j;H7`>M`<$qUgY;;8hl<;>X;N4U5_TRYX{21?lcmzU%y z$NsL9g4M-9B2IDK;y5)gJ|bT%=?tcMT|?EqQfR*9wV_{dD168oYvYvkB;u{P!BShE z4Ef{RiNuWH;{!J$nkY{FaZWQ)hytY|??tQC6_;nxD~DzW|2!D|jDsMC{mpDjfsB^^2+I zS;h?76D}bq`Is%~O6+^^e#b{*G};=ofJ7!ESKTvapyDD;pY+uPEV9XCUkIUn_qvFL zrk4&-uX5{5N0%iuZCHAg2`GW3$At2;_j=f;DpIm%f6@I-_IL{x&5hk?V4+;anUvGU3RXtNERXq)c69{Lgukq55P^#_?lV3UACE1&eZw*ZIdvos}kd-QQ4i-&O!aF;<#}StT_0 zaA-1JLKZGYuuymgXakvaoACiOhnkmMG9b$w3r2|&bVYkZVPhc8v+Oj=^>&DIc>OgT zAh$n}EjR{LZiZt4oM=By?B&Y}G>@tiQ#TMM;Q`l{yzgX6SOKZVPu{FuT*UrO#!%+1 z7Oyp!@6~+#!P5aURby5C{-XS_zEx|R>JW&XJ2ns`;|{~juf&#Om9P{2e{q1(p`j`h`A)k+S>82^J7_O<%(AWh z?QJIzGmPAKZo~^V1)4UKI32K3!wkQp?@i#?m!=D5K{lW&@0zrFH4I+0bZYceTY>>g z<0BtQbC9^Bnth5b8xvYk$X9r84|v@uAB-@wl#oXAg*)qWE$%=ecT`@eMrWo3zQ zsPqyMpfqRd?81~NBK+Ds~6Ox=RGVT{ez95x#;bu{WKq`4` zp`!=op`7|C;uS`KC#l(IFLk5)ZU0lv(x&FXb+$_1SJf7nYYO?p@2X)H2C+L{!mjXk zpP|sn^9~T^tW-_QV-H@z19J~c1YzHqo$n*rI#69+!o6F;jK~XhJO-LWV$HabE21Ph%o4S*U)|oKVvQI`*bE1|E4hm@#oJ%1aTu zr#C80A7_dQSJ>sN8BkzU_g`1o&~QM;8TD)LES#|i-zTo@tna~orja<;W!VE~&w5%lgnVYzEx6pITA|O|h@XTXL0-i(m$)&zF)KD!`b02G4l9GBn03e6>dJb$C84 zp1+3Yi{Sp*xIZNBe}wP%L~5YU6>!0fGtF1jm2GMDCNYmyCodv5>e*IgIDc}MZJSf&BD zIuS?jawXykRLEcHJeBF+KPWfBOXo|2oj){urS42bd$u@EaoplKEh63Or#k2iNhd-M z(%Kz`6G@RbCiz0aeaox3w!?#nHzz)FsbFwvQ1;JL<)8^l<=>5yQd*u&0_riHcBP!_W&V@L*`HZK-v;z6J z{o`YtXL0_;`BjDKW~&$SJ;!wb*9Bbfo<@ef{oZ3s)CZ4!?M;cy_7L*!7Hu2y7lOnd zk0MJnzkTGD{c|ofzyDq-kj^y(&1>x?Xra7>Q7={79FtVYJCa>*!Wv1`GhE*WQVxCl z#;XkfSO0k5k~L-NXhW2YDYZ|O9rR0!?>$~F4PBTdSBj4@hU@0jzk4NbgezjW&i0Pz zM2i`j5_Nix9p%8Q8UP*RiKu89SEBAt#_~P(iO_|MeqL;ko*jk^hN{u4R~m`>?2)Q8 zOz}z^+)N5nO03bj#Xo(=bwAc~JJ(pm9ZdOeeG^CfLhBSs*ZTBaVe|97O{rl8&^)TA zXcE{+>?10r`a~5kIzq=8bHg}IBcM?n1LiI*sB%7MrKGM0Z5$H&=(dhxbn#+6$L1_x zaE{6-!i=vly;IlL0={sZqvRa0b%#*M1`z0?>>lW0^ydDdt zVomq*1TtW>;j(H&b{x3t3iI=CCxK4IUsJw&K-tIv((;H>kLZg8)nsTbzP5A<)@f7+_&xjXBq~ z(^2eJg@e0_=SNB0Axq>Ko9V|Sc*Rm-*QkXzW}6 z)R07g`|Y^oQwjlaXWCDCG$IK;oHv(xYpVg8no0r$Ne_@Z$p7f#5IL)S*$C1pR+9AtEIUetcej%4d55!qKilinj+ev*|Wz@<%}% zwtfBfyLdPi$92XT%^5sn7U38_6%9RlpT4h-#-e-wi}keOT2SfciJ6y#fb+Mj=RIDa z++r+dqZaMmjIVvUuH2RYcf57k;Jhh3cd6N}HJyU|O;(woo{J+s7oRN$mr%Qn? zGIaRyH4V(qieHi~%!Ni@#l1??X|N`+DCe4x17g9wau3+dLA*0+Y(PsLd(3#1H~9|A zYx`Fxhu^$CuKvagi=O@Zx(4L}s5gA~wM%sbrDNBAlvW#HA(W~s(WOe@K1pWHxM~Qd zPTISV2co>0ml+Cq4Ypvn=Kcm|^@(+*I~#FJ`=t^#)w9>~+J+B7;lZ>2` zI_HG#E-xX^9Q6Rxj0w|~qxC(RpW-|D83nPL0_yTjHIy^tui14fhX6N)eSDfGH9_v1 z*zSFmnwTExnpy{^Efnn1y0+ zYr6lm$*RNxi`l74&q00xI4=m?k4aCUw#HJ6TQ1jeqVsT;e(FahJkS%ip~jM~i_MJp zSEZLnzy_q8s2ch2aukC2A z^u)bd2|6latnqKfd9_V+ZV+dw*xG1E(BvzF%8l5bXue zb(?HU8X~|bJg=ws@PBZM;}*whV7~#q9P$(38La&%+;<`91{idb)^yXRUSmV z>Ay9jqrRL3CcF~cbvl{gm{gedhQSzK&nMK9J@tf%2TZSC4tPWPsfVY`ksr+^gTb2_ zi@rqM;yA|fgyVFA@eCS*@%%45<|adJyeuMhVbw!G5}!Asenr4HK*5l4yK} z^P3n%#;XR}{D=RN;}02$@|gg8^CidbM&!d$C#O067~PA_a(^~mQl;@`Vv9I|nr({V zJnKDmuKi4;B8{gb{a$T+5@iEtL!VsMc^ypST}k!w<;}vLaJ6{TwOI6fw;5F2%IkZD z#?MCKNwd@#S9s`A=#eDl064$nyx;%n^r4zk3TW4tycr87fOjQtY7?64D=Yo<(`*p} z?P8@PJ=G1gKH`MU<(`~cL#W{usraq`@Yc!xyIgY}>=?gIiM;GKMeOl2Axiae1&q+c z)bQMwAATHq7$?r4f#LlM-p8Ekjhc_ryK)QXFS&BV-4ry}yOrJgspYL4;C&C??;Mzk zDUd|Doq-y>qxJoY5LPuJ&}O(FSRNCPNX?sJznI=;vVFA!qd>8+WfL{nDxtYv;hr)) ztRHh3(Q(2qnJ!fXUDC(COk8jB;bXx%uX3Me3L#;FcO!_-jSkqAL$fX0#{FO@V{Myj zq6T(Z=f%`v`fzY&_^|3QVhP0~rQ*!!on+nr|Fe>Gq>x1_X$SJtII~t;JN~av>X2^~ zIPo1o_1io5j?*RB#}uifhtd9^%35G4J+l|Q9=6%_=SjZ}5)!#3Tqu#)G=r2Td{j`+Xk4A++zCAGEE@5mKlL0LI?a z$p;sZ4*)NJJiB!$U_*ybOhh=sK{mSG*}wE4teY4gy zCuId2&+e%{jNS*uI9(sshTFsD&&GuCbDrQ&(Pmw};sMP>`2el^9&r5dB7=^gKb&%G z8GN`$4=epPReYIM9kz80jo$ZggV^VTd|ggaP`As9@CeOSzLvJWHhEzQir0SY&kbZ? zv9{WWthbN=KQ|?ftc}lC^uR5@>S7HS%CYOKl|6VL`7xdWYVRAhOpkGJ<$hFsoYO!5{rRlEw7NH=CbfbU&cuu;bzKR9`7G-k#4cc z=l*L*1kue#%ep1;kbgU-z;TKM%1(3_oz){@Yd=SUwO1>~Z~b9v-hAf9>u_l5(;b*=K{>#=Pl~)F^&ntkm)6iz;lNZR>=1wO`oUf+D4gjO{#+dcs|MMYH&9+5{<(2wH=SlD zW5D;eZ?LSlt2Isn#y!{pGDA9yhgV!SVoZdvzM6q1r!?eS+A=n`#SR#59m?FPsfOJc zJ)D@*MWCG%Kh?&88`cD@$)I9U?pq+V@AsW&QnecP>H_s1GA`ukL8y)~B7T-`kAVZw-_IL;k)P=0PI1d@y0;fC3S7 zzm(;wZ{mr4G@KS(Ib#P4jTcC7>x?mWCjRbSM@_Kt{xD-d0Rmv{_xg_BbAmmg?Gh?q zwBV+)$?Vd*Pq!EfCI@7N9AO9Vd8>ItJM5B)qO8PITR7pH)R3!U2m1ochwdOhk>w5T z$M;ARFsCN5b!YTlFzQ7{uhu3p8ZO-F?LYA<%LyZQC`i0z(80p4JR?=ts)M?)AKO=N zbL`>R>aDH80vL`DJL=r# z30F+>@@>luM|w<2dd4EO6Tn`ZotoS)10vVf9uvd}Q2Y1-{n<1_?BSi^ji!_P0new! z^Vjfv5!^o;_lLy&kMMJX@2}zdY+QeYzpvr*Bm8```u$q!%8Q2l6@yvUITP$wM0=I$ zX)R0=2q(V!S%cTTg7dv223YJY6m$z|g15%@_-^EPfaA`=thLh;f3z{Yj+py-9zOF% zzOT=>4}_w5^YIs}qN&d*u=M#_mbGCZtxoZ}#p_gvS^BW7x*fdNm1}M zGb$E`d?5HdHc5mpB0c)wy2a}luP40T8h)7uZWu&26U48ZXi z$5|YIaeRH2kbnB!ZGRdM;JkqIUBvLT$@jou8b1Wr@cHPtTEaEPiO3SP|MJV;Hu&7* zWY7q6G+{`Ohi}I-c=p6cfbtj9<03v0ATpA+Q!nBWaNiWfl1E}`e1`K|8@y*v4$=7! z{|&sZn6_jpWElWivVZu_k?!V*V6d;SYequyPPNJ zD*f(fMSfm5zvH}Lt3Cf?(*W|rNcQsH+TsOI&-ZwE9jAa*?tHxLD?3;={oEAxriRu> zG(RcM8cMQ;w^kDN{IL?yB>(=E_(dITyY?MT*K-Eg(q?_0!T>!?*mS@B!8_v6XIJY~ zBxZo&{R-a4gy=?I65nhNIDh>q%dQ|If75XNeP+^ItpV?Q@P6m5{`AwW$UlbKeyAkN z8SMvYP3@FN`$IcfGIBRCM?-_&mSdSYXdXE}WY1O+28TEW=9WqbAieUI_sciLH(C4i zJ8Qxrs*7*s#dh@X?weo6~{G0T@u*dxNp~UP#f0$|3529jLc$Mb*2VTSX*nR`|aQS#5m~|!@^@Cgt`b`ukuR3 z7A{)6KZA7a`7RBcKi8W$d~3MrWRLa1*%$qOzVZ!u>%sm5B(+lG0{#Z@)E%b+`Bt(Z`n(N+e0P$ znSXnM#l$hM9fK6`TRT=_=#Kol|9-!gyX*OX=UZTUT0@RMxvVj*Tf_^{se|OD;^e16#cpM;m^lJk}y{2Y-}PK!0N?)OsltyuRLdPF5fRCS>ov z>rgoOAOD?IA>)Gyow#Tvh34BWhk3{iNMDZse=mBBSqSs1fwg+spIgYkDhuU`mJDvk z_)_-KeMNreIffktrI}vP#jif2gna+rvRKMx^CO*QNR8$!$~TyA-><$G%z_+`Eo=v4i9d9#rOUOImIX42l+@*a69mdOKvpPNa; zmj>>MK`=|_>PR~11GYssYFB%S&|P919EyAZau)w=_?nW8l}X?2u~+l~!6RoD&*!;f zwgjvEb}eC0R<({`W7WkZSmHBvYXji-l~rDnyEll5T&(3JE5I0!nyL4iGqyL*z0E|` z4inXs5ab4bXr0Out~tboZA)I0A2<+<;rDCxYu3?PX#S@|ymr^todEs;2QKyeHiH3HQC}L~IH$kqI~@dt3R=~jTMs~ScR!C0n=S2gaS6;!?sE||Uz_4{zHtw@ZL#df z@7O20Y%$B$%}4#|4Kby!%0e4=kul3p!VFUrWWb6nOE0yf|B7waber*~os*ki+&V+l zLLtTK>FIzU-f+F&soiXh3b`7v7DE>V6`phaJ_gPpP|4L%!V&>nlsKN(-}MGUGGp(F zi@`wL_hZ+au3*}^%3$Oc=J|;7VwsLA?-Ne|w~{YUuz+ZI=2JEmmKO&51r5)dz6t}s zq{epd(g?6Xc7t8~k?`JtI399?2rQ&5C94611H0#}n-bAHl7G7tdwdeC+T>le`4I&o zBFzaISDav5(EVcKv@Zz0zq4SNiF_*WN(e7o?ZcQoStYH0MZkoC=Qju0WO!<0riaNy z0FDbxs}H7n)=++8G01kP8o?s3gzn@n3Vgn8V*hdj((jiJ*ot2!({O39bIhzs*$LE| ze(l}EONFC85^PhR=-)T(u+xbv0QOh~?p)d!1f#Cc)G!w+5C}e>+Ke3Fu1652;BNH@&1M7d=yN2-$^2Z8L$SZ?Nh zDxA7{a3PD^6ADMa$VUYwLt(J!vz7zl@F;{nBM806;`y|A{u-Vyg8OIV{*bu;5x(D# z@2}zdY+QeYzpvrv8}E;r4KAIa6OI6modaWhD0h&0Es=N-y&Hwr9LSfN4gxL49mmy6 zL*OJ!d#VfaTg7pQyoVg!mlq6p9i5?lUw5!vUl5GPIBQa@V<))HxD_3B)W3Pa>UMg`4N2pb%QU#Rv{jk7l{S(Rwmd z6T1Y)EVsrZBkvF2&Uv&F*NE`$!an|-=f04ro{*e*o&w}c7W;P~A7H$0@jAxq39nNt zjg^2e)9(MNXB_`IzND$qC{0N+4L4RqZz)?v`@rnA{BXfy11$5-EL+~i?xZwa6HCw7RO&4UvmvEPCco8cnjwNoELDuyUDg&Z&A>R z#t(1FO~Z~SknhYBE!~vI0K4U`+cR2tVO1x;x|QAW#OTD-UolJCU<&UqK!no5t+4Sx z)dV3DMj74o{wBeS#%DOc9j9EJ<1&@_5C3hWYZYBNVGU|ZS2Os&Si-D({ATI2op6=o zHFKVTE{!)EHd|hPe~$t<&mQ_l&9tF}0nXFvS9)4XP2GSw!utR{w>^z_J2$&I8Wmc> z(SZ0z=iN;(4(t0oAHwr!{LIx%=F-Wx1j?CvWMxw?!1*2L{insuDh#Sfzql}UUh@U= zORY2fCe2_8r1lNuQFK0>Zl{$woIXzLBgPr!?muHjIo|K3oqh&VL26J$qoFed&D(+| zTlR;;j@YZ>x68?}7~{CU^>GN)O{Nan<^Ahd@IGd~LqX%Zj4$B)b-`aW_4cwSwC}F` z6PFN6>wEBir`%nry48&Y*R0&%*vo}MxS^Z#59DKJbGyM_?nNxjTw)`iu8ahJH70w7 z_-J4-9bq%H@rA~TykVp1Xc%*4uoumVhWPWh?i7iK!ty1rxY!BMYqA455Ed+Md-Rqf#+U_EXYtvob0$>Ua2sw>i-Gzd2|(urli^)qkm^6mw-7Xf6f|Bqqe`@LdV<*?ypedLcm!`N&@-6w|;t!L~vfA+iI~IeL+c6Tw=4YGqqdZeO#68VQHV^HNe(bu z{<2K_xEH)FPzZ`$HU)**j?NH@2WWOZ3cl}12I;%$y35GdK!2=(CuKDlsy}Ahsi=EG zv3%s+;}!%^6PFoLSRW2pRZVZzX>Z^&WZdmPwQx)25&xy1==qZLc`OW=?YinFz+=+9@h;aa7SO)cw-kCPGX-ol}GBs zL!E|dg)9dwu%HZl)~vBxoSEMv3WLGz#zd`KyciU_VDw7$fwcFBW0Aict40x@A58rb zI5TJ?o&9MzW(Qx#;N>9NbG*4nm z+02nigipn%%M)J(0O$wqV-?VVP5j%d)?Ek%cK@~6RXJnm8z~e!l;}?T+?9y7mpM;k zX}*8Y_OugTP|Yx#)=I0AbX&~p-m}`Qp9e6J_*%1AE)qtHjtR)?K>N_2EK~F1{h-|c z=hqV9f9GVE*{RX89br&Wed>F73>lupQ7&;5gh7Y-DV=pK6!>#rVp)t0<+CS3+X?k3 zFxqx&ebsxEYq%C={EaabROOh)4~9``=jw_^uA!lPDuCc;5|3&U%qz~2?CE2nEFvLm zVP^!qT=pt4SBV6>`L>&%GonB-&DhtwFdEEKo|SAM`oYI_I{bs^_iQZQN!NQe6xuEG z<)yt-p_PN~YQ1 zY?&>pOa&DM?44U$Ea14Xlj%|?XR1F8)u;D8Dl~u^4c?c@2p{A=d{n)R-f1Una(;39 z`_gb}nNqlufkUFO7lLEcgk4t~ohJdeU)~zIebGJ&QBH)ytvie%&|ERLt@SnXrEfi6eCCQBWV_7ssO=4c<3rkuvk4K9|Jq0*1>I|H zPL@m$D~Cb3Vb1l&gm5UEBEC77?FV}%MLw7QNrAVQZY>AF zSV+2>$Vpci-5R&!e5*gwGyZR#;&qGHX~piCIiW~zcqZ%h=nl$j-|?ftD)u-DWUhBa zQI|t$^)@hmqQG~}8=TBunXi|p!@`6Ub{>ik0^5d@Z>Qd%ebm_NT&Gxqz$En0kp*`u zeBvs(@23((t6RK|@p{7Rbn&}T(Wg(||EXsj|8QK~tv4S&hVBbT&30O>XA7X=hLcdj zpO^E#@P)dQ?@W>+ChE$|Aw$x^aNJ>UUcb+e)gQ}l-fXbrYXpYlF^;o1{^I!R86bZD zh4)tY#{>V%3pn2`YOD19&Nrj+gY4DDXo;ynD9)?M<;&6s;XH=@iADtMVDY_Au^-$q z{S}IMLy!f=>Yv&m^H2(!3+&i*$+HXux@T7o)<>^+-R` zW-lC2B21+5ZiNn6m(K_Je_+jh&;7(eWny^8j)7bnKfiL@@bGFS@*#+=h<~@<7jS;Z zdEb0)NyhUJ5ssFYiMF_-{ehi*RMlbvTHY{;RY&{ztIvLtUhy2q@IFGGVYAXz{YYpo z3^bRb3kSN#u^p#%!-4;{DBLlRg0)w&fS6-#C0Cnp2ZR>sRnTroKFG zqIM@0aQ>>#zE!X2?hmyR-WjL*lW2Vp-tWwF!_rfF5@^iyAH7kA_N;e&$Q65m{AEr> zUL73{14@pFZ7jkmQ7&1_s^oB3k=KgTs_=muH=kNgbB99L<`dOJ??WN?xy|=z?_l_) zg4tglHHOA}KZSg3Kwfq_@j(g|K8H&;H4ocEIcq1~S(FztFmF_se&gS} z+sKLew`+QSNN>hQsPz6fPvS99-{>J61ayX%nZxQ1V_Pg*-!!1_`?=!9CoJxMK+U5L zJoiU)h6uB}R!qpROw4ub+j1X}SS4C4?N-I?kK43w_7Z^`Y09V2;yT=!xT0{U%^T`e zE=*tI}1~`=<rpFyuRq&-T47j?;k>YxHpncm!WsI_5Rm%W{wd7!}cxkyeGkyG1Y{A3K3+< zlMjx_2ScdGHC-?CbGuwsdt}Al9Uc$gC@Dg}m&ZRce3|$7!0_D?AY$H$P=t~2zGciu2t05kMpPSZ?ypxk+p`cW~|NG$qUx?&5n$*ul2DQ;R zLvJl}AeT6w)wp>WE4*=y&sfhJ{39L|@kqOZ+=$R_X9+Z~Gq`#4*|-x_9+zF}Uq=C- zME_N-1V2aOBI%ug=9uW{eD%m<@B_BFZsv_#^jmqdPR7KN~POfbzD?IJr8-eW1I= zw``o=kM_CfTPxAWQC>Cfi@ccZqU2}h41`@uxpD?Bz|DOqYOT-{)Uwl?>%-BWL{nW- z9oYwTdC0a0gOL9H0Hv({8HILEnyf$Plr;K4ZqqYRMW9?|DVOam zc@gka)r8ZtE(A)}VqPBq5da$bQsk-VP&oZAcwb&?2yAd7ly3|V1$VETCrS~1ow69K z=@1A7M!P5Fy00kkb57vifv$Miap~oO1;#iKk&tS^*)Gm}8i=g|7%Bm&55 zm*n+`|Gbr?{XwRFE*LsU58nIkjsx&s()pSdLBj=(>T1{5XkSZJ!tbuy4uDr*WP=$0 z$G1TwYVsa^AWUB|XnI*11e5J%DSM-k(M6lhFV<{-Fw4)OKhcEt?)MH0ZgO(~{-#1hzeo~@ zDXn|CB>=s1{z*HbRf>F|)J#-1qw}_}e69Wzj)@~ZAC5bXi_KPRR|9BuWK1Fu zmah52^H$q7zMdesz+EnPJAw!=iC5*gn1X3_iq|b(r$3-o-e(Z`)a_gxi$Zfu&2(=Q z0h9x-w`EGg?shP(-pn7TJ^Mio0^#hB+jdaB;K`tHnp&(cGKxrDqS%t4<9Fbw44TuY z+dUqYiwc00>A}*%=m1*X;&qJI6JDp0p}Rk&qy5YOThBQD;kd|dXgKsuHxP0e^;Axv zoJ|}z^3)BDJaf?fFE!V-Z`c!FIf!wQ9@^1xr=#ra)ukQUATHC^??sYQ1P+V^@OuHO`luF!qfe~EIg|MD5mZ^3?3+S7M+|HFT* z(McA*XT6|@Qo3_(E7CKZ;_-2-bcUEM5h-8u2{hi^&h>aygdO?g{N-5=b?)46oDnph zPSnVoF#AFR;UEW>g9FG{=`Zg#Ye-UBkdL&%?UHYsw>UvsK;J~P>nR#Pv+a7~yBE#v zUVSy*UiQEbaDK;m|Hta-gv4oo*g0eQl;slzy~`ysihm_Rw4_0)CY6GMZl{BmM^0gQ z9})DFOnUes1W1dCMXL0{K)3bAfJqg~c^TaEC>+gCpXePd-pc3)+9AK~J>CW*U#zWa z#*s)5^0!~X`xvVI(o7oCLF4>ozqmJ}(-rwItmR;zkggc-d+>f|Zmjj!T#E~MerKB> zl=Fk+I!h7n9DgvHGERQ6GZdnqjgJ(jQNZa2eX;V9VAx}!6m;F!4X9+O?Kn#Xg`;*| z3utdSc$`zvew7Rl^f`=KV~nB2nn($f6M%;-JJ1GZkRhjVPdFXTvs8<|9@U>g1E zK7KEWaM#&$V4>HD#{auk8ndk{t$;(JAnEs=5Zc!db#zZ$7VrjohsX;oSyZeqRI8bT z(F|%08+Hk-+Ms)-!ms4*D2KJT!JZEJ&~8YKy5z!X249xNI>Hm&u_hNkrBm;{FqU4v zBf(cxF*-+^(vbu$5Dwg*T6RtYJ3e|NF7>%LW_3_gMrX+ejN*g?XH7ie@wfK8cgwDj zI_;WM*+qo=Z;8Y^uK)VF=k^kJ?4$rIAC``naMi;UggDL*^eUoUukhldXm45U@W%%F z8$PhQ(6~r=U=L5d_&bE^QJ#{}w0)s63A(0)Nx?@b(DN!mH*^ybE^OMv>g$i*3-c1n(JduMF~3- z)AV4!QggZ7C}7*Gm)~%7`9LY7Rp|B;uBcB=4II%G0k@-B)q~>pm`=c+Z;V>jSUNwU z&DFyjbmS!pDOLiQ+)kDeIX*Im>sQ-dWxCwENFX<$8k>T0YgiLyQ!3u+!#?$B#+dCW zw6g4Uog^-$-5lde#R3hKK|~5c0}4aDY$Zr&91~BTv|K3 zg5SA-{)q$$Cv^W^xD;nChxDs<7D}9BIcN{D`qANf%^=w2RQ)?v9=&h8$g6#Y=AT+w z`U@$F=-ue=x#GTWXAoKu1(^TWYP-w`=u@01$=?$S>*OBzK3Ju|;osMf?c7I!p;BJk znz~?E`!#y(bTrD98#+BmHYET@PrIX4nmyUl|FUcBKi=TP0@xHO%!QSln`yZy`; z8qJ0Jc(41t{RZcv;E2os#p?kXTr0*{bk%%eN>e#Kx!DiSmz_^6K7;%!+@E{OPWiyh zcdl*4H;|6*6tCb}MpNKdv{5n*_5ooJEy--uukz<|$c>`@wIs=`({d5L2L?2-YRCFR zFx%L4=D0fquMcI`4UYyiD!~CzsK%k1fKm0gR z8N>5w@%%MBUj+Bh#{D62|08_AAKzcY&o{0=!r#~M`4Qe9-JST9$*oF;=u(z+b>zd( z*>iH?HYKPk{VACu0Nn@tL+2{tXs$At$k_rrV-cEfB%>ryqGfU z_b64v`1fTn=anG8SyIWpq+B<6>~!YH`P<0n_Mx$B)+!N}&3Q-q(R>`QTfC0(dcx~8 zEhB7OIm&1Mzx9mcAC8Ol%!A_%oM?}IZK^Sx;7P*`!uN<$4s`#?AK{nqq3U2%1BF=s zA9@&$J1y!8Pr7D^*vaOWgyu3ThT}1gvpD|Z_I(hvReoa{ zKkzy@V=F>P_u4C))lK`*|S%xyvAGo0Th_rFj3wMF7T{CB+V=#Ar#tfAs=19ja68`xT<&N1w(2E1E% zj(#piIU;{~vz7Gp#J(V3zOcAEC6h!s9>y zINWzyFnSvVua}aP299{c;Mk#F>N|fh=#0+$5${6lSMWZ@Ks~j+fRzY1e>L)dO;XfG zxm}LuzpgtNPV0N{e&?=D#dVIoLcGiIh01pR%fFCc$JtQ3W*|i%|DDhswnj)F zu79Hbh%mYcLe>-bWeimx5~ZfdGvKCvJC85?BP zxLh&uk?(C{ZODhbdxxxzA_>M1%W`fZ5}`})f|YxjFPMIPZV@l_Z=Q5?d~q@*RROrR zKHeyGM;MdPET44848irqa?h^A?vOj9^7W==06cu+Y#r*4=AX;E>DW9-u)nbO{FR(D8;@(!F7)aw6^LG&HX) zyTpX_d5<_x39u1C^n=gVAwOHtZpnX_i1KbLxjn!8qkTOanmIdSwpE6MPM_xh>^cx|y8Dsx4?*6&_9t)2G+ zx$heoPrf5#B3s(GzRI@-{M_vNxohB-WGK8)GT7U_Oop7;=K-+~knd3IsR~U2SCAzA zP+pi$$6jAS&wJUv;C=nbO;&dXtco|g+fKs{!kNw-wszBo7Yk3Xha&&+pljonjwrW@ zr1g_NNYDo89ZB_*x+<8MV`hC1lL|I{{p8Y%8VU$~GyNhJq6Hh>%tD=42(i4ZfUB4M95MlFr#wN=QACTEywc%PyIPAL8 zc#M0UA0*y1JxJbw{5)3ZGgpx>?8?LEr@4<e8^+Y==+}Xt7pE70x1Zn0*u^|HO zbGn=@wL$Jtv|O#HHto(On(L7N)LK9Uvn;lFFk0!r;r(zao%K88H+$?5Z|$&>mOn)D zxr~x2Bp9oe?z9pNrk#_~bBZx;UxL9P>Z3`RFY0e4OKYuWs1Rm0k>gy1^!meE)M=Cl zpKT=N>d_endvgR{e3W;E7fsmDPhNrGk)RS`h~{DVxuUzy86x#A33yUoXCE9#?_Uxe z>rPFCf$dyUkbgSLFJ+N;_pb;6x|xLXJoJ9v9rLA8fF0!y?@wOORYQb$W8O!X&_3sR z{-8n|G_UTxYT$ixPcrg@*EWf3kA*fN$_BctR)87lpRz!{zbrdkhFe;FAk?t;;fDo1 zFcnPQ{s-xsVzx+n++B-@)9lj(`TY?zTzJ5G{|Y0TH}=yHCAz6h)NT^?uhh&dxSWpw``%p zLyqP^so@Z~EB-yyD%%yRYVN!c9;breNU)SlI|*|A+5Ovgd%>^kO1nqs(cHbO^`;T> zC)#%9a@E(H$UkVI@NK}(5SW>Cy0{e!g=YKfZSKe?r^vkUe*AnAh)0#Uosx_Mw|V8u z_KwjgcV5>(X?+loHbyu}8Abx5blfFfArmMPCDDIHzb`zW7SCV9^F?s~Y}_9b_dmk- z`|OUPO?Op z&X9b4w8syOLV8|nHaWp*qFhEJ$|b<-6t7#nPIs*)r`Nu72f-_eroVc;L4U*3y<1Dk z@Hvop$V5GeR&T+#-urTj6CwEKVsB92eKev6(#%3xH=m4_Ao{zBJrO zY(L}{Tjm4Tl}?{>Lpn&oEK+)RA2){MP6_{PZUKWE7N@i5Z8hhQ;dqSWERMf8zVZuO zsELG%(0Bmn1)T3p-Wh6erl7sVzx;5YQ(b19;14W8DbfOLs9#}`XZ)OKj=4^rqt8YD zkG5T^FEgqSB3(7pcKg1hi`Bd^;CzPjo8Dbxtyoo||L~vZoNiz% z@*|(t-r*rdK>9w_;^%(9UEq|w}+9gR1cC%)Hl>V*K#voD<3HFZUzXgqD767V9< zj11dPiEFDP-5SojWf9x@=h6Lcy3lNI+YJSH^uzhy(sBWfpHnjJ0#uPs)^A<>hS$w# zPWYGKao(>^&2|=;MRP8zJ$I%nDR7No;MG`6gg5Wct2-qG!_?9*t2+N84DTZ_Npk(Z zdttD!eyQSpCl&IyaYpW23x<64uh(OILQzgBlOj(&2~JA?9QocC0%zWg=ZM~Pr}Zm% zAG0xiqUURVFyQ<(D%SsTe=xe&{CT=Cw>^Q@_u&1`v0a}1LchEqS>N#4HiWCBrIV|^ z=$x}Uo($QT77F^GCg;t|LO|xUiS-$zpW2ni&u@%;dBUT0Tvm|}(F01S+(oSypQ z7>#l!F6z%OurttO3J2t+-!Lm+`*!q-h-T_RlIXJByL{y1w^Zko{mcn|bh>dgZS;o} z-9U{kWB>9=64%Zbv$1%=RMU1gj;H_TNok$ZBnA}{q^_&G>%x+axwL)EHVSivEUc8d z!v*Q&#r%)5le}O@rl_INIX4hd^lagO;R0<>4O)wQ4KU7PrNT}hHcYG2SsK3BK_Zv2 zpJ##xFs&20#*<d5(=78uiv?s5V zJH$?R_g`N}3gT+}AAwRSk>Su0eI+=UbS_dZ$QmlG*8MtIwM;R>Vg9T^jvGq!AD zJQ2vh{YdfFa{Yh$abE{Pm0h0*aAwzf)}ueYV21Q5VVQ({NjhGbsi3}C?{QVmRWf={ z9na&^S44eL4xNd#KmZIYNwdCxwB`Xl1;}JD(|4Yd4)7Kkz{@3v&h$Phx(VGD;yazFB~B8 zjM;_h1Tx6APxJ<@BZJA4n?JkF+yMMeCKs_A!w!S)BkcCbFS+^k`cDEB_{8+#&QYX` z7kc0q(E;)pzW=P$kv6^+%|q|bu?34FU9`~0y{!8m5@2?LDXZKf5b}BDPhLTFS@GMU zFW=W69=xv{)0#p)O*U<%n>qd9kN=F6Bohg0czgudijePCclfYQzAJn=7R9QM^3(Hd z9G)*F5}@Ku=}Yr=BJFdTmqMd&n}ySIN3&+_B&2$5VNFalKJSAqaA7JJJ2f3ZxGVZ| z*t{ZaS}xzghvv;hw~k|F2xml8BCkvtqkF{Pb5eNTe`nOJAME1%W~ln!2jo66pZ97B z0_!ZPbN9X>KXQuK_YW!dAkk@Ov%v!C7&p*!xb-*z#cxxO58A6`)_KZ%dYeD(TzP+} zOAzIbgV({O6yDV^7?JfNVkfB3Xk{SV&*BFYKEfe;DuaMocl3y6KoF#z4XG5E4+eGq zoXWwSKA>}S_qhlrD#-5VPI*>Mf#+3@%e(60U_ZS}r~pGW+{bJJ9F@(G@Ai?q<3<4> z@UDo9szU;QwhWo9o94jOoY#D7C=fo2Zaw{dBnk>;M)p*3h0<{0Npnq1e3Ba|4YPl{ z*`x_|Eo@;2kYB4y%k)^msbFZ2X&uf&IXyTo5h6tbtUscC$v>BFiu+N4bH$7I7BLFt zFc;GeR{BEbwHF&X&!C?#-Pmsa(m*JD`Fo4>8#_pTNiJk{q=0SsY~g0KH<`rqQ#N@! z($82N)Z@A3i+o!WRfXp%aAN0TUcsm@JTNgW$V2|58uF`|lif)F+-Sj8y@3oDp0`a~ z(Z$1w!r%;U-Y~!_AGd11j({=axGquTqa*o5T;k<;7&z^=`|RxJ49>4K)i{5-L6e$3 ztLZl{+Bw1V*YJE1+&>%lhs6Dl@biuDui^S^Tz`bWui^6}ygz!CCphW#1HGI6#U1aG zl94I&UWwOH*SF~FJiT79GlBYO1-&<4*{W6Ar0Nbi$EJd2g8XQ8iq|b(r+J1NwMBDi z-y%xbL{N0~cZla9@`lte&g!7qSIVf4ZOOWNZyMpW*yg z(Y3CEvb6U<{MWbB?@Nu6H!u`ztSN0IgX(+z?Bew=$E2jxd4Cbf|1hiJ454V zD?bTcx?^7OTO^gaLxci2zvH|wBg`O@anBb-@3wtiRt$hQ1B@$PYp8$i^R7wg4uC%U zFO7HY%4vPX=GutN7if+UzL^xpw}%3rEFsq;{viH*lW=niy}ucp!&dXGyr9ZYwN8yI z7`P6ZT^Ojgr}Zm%AM@v?!>L^-(7XFz{<44g&^Y6MApDW!z`EsPXnhaf?`ZhHiC04U zjjv|~V(YUh;OM_JvoAXc#J3(a-s0&8?q=bl87|1@?#kXira1KOyxC}_q8agSEWzd+ zcRc9VtoR%cqkxjk9+u~sv0$*i;`*>c6xi_vm{%j+=TzT=r=iFXJMX!9^wsGE;QORY z@o97+Bnj($zL8Y-~s~7^LRNarr)b)bf z8ZPNuUb(^*8~Yg+%mE6L3K;p5{=K`oYt0A6BH!9x{ntS$X1=iNMc~r69hR6W6ZgmY z9U5SAVu+<0e@Ubcy=_I=?=wCG+K>elrjt4JQqri~~+h4sQ z7=F4NspMOuy_IKHPU7t9*v4(q+iN8vVW;UARnm8~m$8{QxPMy|u!S{Y`&PUGKR4Hk zGO`TE;~?bf>~b9HcQs7~j7GjvVB1;u#)JIPAQd0)n86neyej+YE}J;O7P&i`hnvEY zZ_?zo-zW$B#G9;jVs~_~&#dZ4pH>k;Y1h%3vWK>CRWIUsx58fRPB5>=c)SzVt+esm z*O#ssc|W~?ih?t^b*Y`b{96v2de(caN7NO=eW^|#((4Q6L;CF(GIPguTtU43Mndq4 zIqdjk5Ry8B=DIbVuR7@+p>2U~EcS~vWJNR^Q^Nw$JJMzKEs-AZfGD-olpf^*=5}yh z1}C`er13hw6@6vBWqFVAM?Gs*ix{a*$)dMMp88Ylak^HLrGG)6@hLrt9$5Sq&u3w{5>bh zA2$_Q>bgOZg=Lk)6J4kl7I#~_ihM4jJto`i(Hz-bjGTK{3nZj_8G}~5K!R+T`rwNV z)ZG@`5|WSJeJV_2O|H7p&Xsrx(+kl~lt=E<>V6sNa+Kr4oD1B1VIZl?aG($6vz*%W z;JS({9Q@+Vr6T4AX~;jQ%P>-FIT_S> z%2@&!QlN8sX-X{86k^D4cX1iHz%AyK*V^VbU@`f?$XQzu^Vs+$FIAPOwxRakPCh1}?A!5-Ua`q00T5m{3V9 z%%APBG3!RU*2F8eL4i@w&9}jLV?4^MJuJRiX>$U~nJ&L0@iGCLH$&LXpOMhms&146 z6!>yS&UY9SvF)r4UT1bYLlXrp_B!c-&8bYZ7>x2K6}u)d>&RlPnU|J%Q~QQYmHac)2#jAtxDoMQ|z z2Y;0(mG|{99CzaX6uzjAAz&j`lV26>h!~E?IL_kui{tCwl7!;!00#``0h||bzI!lO zYsKD8rSStpY;;oDXIJq4B_pL^CyDLu0)ZeeG5_7)oYji#XncnA+v?IZ+sZq1Fa1CKxAFQ^^W=|kFcL9z+A$Ii?%bji z1F_+-e&YnkrRR|}-lUUL&)9J#9&nzO*9%*@b|jI;(@vbpbNjDE!2HplpFbBw(0F&M zTrk@wItC7Yb(VTk9SR<2ye{%KI??#~r2o)${nALVofzUOmx>0Q-*Mibwr}=`>PGKW zc~r$pjz}=rdT;g^GNLrH$nt3??P-04-*!4>r(b>$e(=ZURpdwP+ofSJ z(}Q%%Qn!6}){`k#}FUUaVp5If8<^-4REY3+BBGCF3ypQ>~@$&gl)@Z=_OM9@! z?nqZG#D(z92JB9v^*wmM^WY<&?;ElQR9U`F8kGqEa;b0z2f8<#+*mlNjePmUM;A}- zm!-lV$Ykk>Lb^{P1N&wV#5bV_?fE^?K6`J=rCUNF@a?@~YI=)5d|K08a7R9v(cvaN z)iYX*s0Xk!bZ=R#V(dU;^nm7V8DGrcj^+;#8SdlfL5=FPtIU0P6Wz5Hr@l^S*{ zO;0OX8r@OA7IFWzD*l21g>Psh66HW_n@x;D<(q#&!cY<&_7T(B~e}0^8Ud{o} z1FWIBMWyV|byr9cwULfFX8_l9vPW|Wj$riYkIXt5|KKt~c_ON&P3RspIb?iCiv{Jqd}$_V4%$M?Tu4tIR|tqU zq?UEON4lC9UA(vYTp(Ken6}VsFF19AX`_`4H`-%Mj_exr1LH=?(;SKlFg>v0avt)D z!#}rW+eO`qd!Z1xm%C#_5z@=8?`D4t=9u2OXHzHN*kfIalNFR&ZLF7tb?bLlZ_H!D zVe}4~E7rUmzx#9%WT(14r?%h<@Z{&+mOui-inVvDBk|5ukqgySV5NYv@=kKKg0c3nq!dL30_d zaDL|X#b-aHG1dm11Qr7-C`-GJo*s_@p(F|2*gUkC_ZJr~Cw!PZjC|hYwSUbfC2K<^ zi}b#D9i+3-(z{Ub4(a#K4SEft93C8(OuNPlXXV}D+CjoL>e)(f1z`Raa178fV(cmlgv< zp7ol`H$#BJ_Q$LIXDHMR=U;O`zCM*a;;ie%LtyZ8VN7AK6qYh)7U!vG3ad9}6K!N1 zY3F48RQr8KcjUkOH=h>IU&Hf7aQ|%leB=H{_MvYZL_knMkvWmTD z-9bR-*!~lfL>O+dzZMimg2~NqCW!nlw#C92d(T z&-&^blfYTX+(E+Gn}!>7%ZaWp5k7S4Y^Nx`)xw@7>P?32yPdK6pBEOqubN`~^m2#7F7RRR*xv|_{q)9UN(fg2OiXEfhV$E^ z{Q+71K*|5`-=6C?WY=js!^>-5`3QM#P_fDUSFDB!_{!Qkv`V6V@4vjMKK0ZGuvIB$3s`N+_>jWUH(fJf*j_f!BC-f;P+A4hX%|L<=t ze}1IE>pp!Bih?_>U%~sBBky+G1RNm)&R_yc#vi z$0!DL%;ql$@TBkCm;`u3g8F-nmmLJKGt3X+VfKKD9V~xlkxs{DL&eC|F(ZfYy$=o|!|u4q&uz0v$I~2RzOu_7zRa~n#ZrBNZAN+F zPB8M(cO$0F-XVfSkIPD&rZesPoubdv{<2~NdKrO-f^<>-O_gfp$qQbvSNp?vq3;w> zUN^-Z&W~{3e>~+W$(eSKV^7Q*o8k5azq4C}elMZi+%D@Y=g~XV*$lnNtlNIj(k^vs z0_kV(d{{pkE{$@@c$N4%z5e-3o-_R*QH}g4u7{VdHUj}NCjAsI{6Dh3JD%(HjT@B_ zMWjN5C=!|3pA^% zUa!vip2U4!@9Vy=_qbsRN<1GDcqFWV`(UH_>+8-SY<9uf;D!U-zR8IEx=@~G%;ipx zJIp!GTnojQzkZU=8sqP=kb#j5=@_7GX-!5j9#2~3}paB?G`C}27(`d!Ki=$y_) z8c__;myBc=%LBqs? zVKx@y*vWEF#1R-mS@!w#8w2C{clisNHsGMsW7&Z6{!Cu-tQQ(09f16^pIX0BzR0Ho zTjp^tu+RE-NmZy5$nHLt;7#uY+I&U7X?_34=X!)4ARt|uNl4PAUR%KZh1D0dHJYSCcf2Q1rYO%7nCV{pUP3%a{Bx7j z)`=f9{2)}%xPi~#8)AcRQc@SAoK1z)Sv$n{n_*t2J)YnW1@Cv=;zvL4U6!4y>BCOY z5z{lBK4Jyl!}JGh?LCR-B=Xd<52c759Cph!e&C1pu-?)aPNaFki^=9cb7&5B{9`3v zF=YT6o(oiSp5D+oEB5rSoF;7E+F}?&dxkaPs>nY`2Z^7nH_S9721kOya{s7iLX;&47@s0G6@9khjNb3OIF_a^wsrixwc7*!V(*k0xQ4ix8SXjd@@ zaN|}p3Pt?Dt&)O_`2DCak!EX=$$As(6t7#nPP>E@ua=`ZKeF}xSoQ@=#N*XtC{p%; z#jb0&j`n#F>y328d)M?iU)c7}A$xKe>6^c4((mhYg1rM?9a6g-K{A4G&YRZ@I_+hb zbk*G8XZ+3lA0l4Fy2a}luP40Tj=Fl+`--{#r=IcthxbJ+YxFlI!5!{QZRrdlUt7Fy zEEKbU)c@!SbB&!twSh>F-f5xgCO{zeofpHWv_3W4gX-(gB43{(J;zQz#``SZfARjh zx#F*Lwa|iy12`_=c&Bd_cD8!~<;(5hL(UsIre6}ypk&Qi9nxtDFO+huZld=PnyCXr z;-BrnvtMkXqR9qgHeP8*AzbZ})ivZmd_Aq8`-?3aPDDJz@y+jT!(*MD~Jy~Nh zKb(;6C1Y1B3BonI2$H%{8GWm4cZHHO;5hp|AjIVAHRRv6gVWu) zcY-mbtKjx;H0kI>`4c<1``IYb%hUtua-W~LlB0xjPOfPhQG^u}@%dCUC66fLt0xE0 z8kQrSBaZJl?r(p5&@hGe!j>kq`8G$~ftv|f=|fzg)_kxn7TrrzIcr1ODvF771ln1( z+*9=dlWC0wg%RYhvrevmh!gocD4u_7-0cPhw-x&Z>TTf9V9&N*q&pa0Z=7>YFeJ_^ z_#7j}MX&U^9qs3L@as3p$B4fn?qJ;{A6&NRZ(3O7g)dPsHVHufpJJ|}JXHMAeM>_Wtp~j2%XPn@e zZkbBrDFR##T3XJglz_{RFB@3oh=K8F)yB{o(!qRTXO2gF(Ah-wi3t*YxT{b$d~Dhg zzS6vDWm+&H&K<$)b|xE_39v?9mp=H|h4}mA`}B+`kK03t@}={!oH3Z9ieu=v0w7^%3bZrmHmEcN5@nK@jKf z33PuI&0MqRHzj^uzc@!P-*~Bp_PBG-9vxbcA7_2+^idN~yBip%g!t7gHEas!y&XU) z?}+OQF*Cs5xm9BJ8ebiApzD}+#Hb}K)aCXDZM?+-?g(;kkWw}UNcj3 z9s)4Davcy~`j^LjU)e1=%iSDye^JPt z{jcdcb})0g(0d~c{gY0-kVzZmcoYxth68 z9|Csr7tE9&a1c11AdZncQ@Pp^?VHtI?y%W|KvYq$Mk&IftI7}4rR?EX@#bmOPzyu9Qy04wutZiGF}Gp>22f` z8}Fg~a=?Z~-hu=ED2V>FG>MR=YX3HRt1>Jk5`wtjq955xGtAYoQ z$;LQ+V7Z%fZ1ETJZ{RIVK2Cz}Z=vL!ZuBUyW|=Ot%wl%l+4Tk8Pk`v%@#SaF1Z zC`R0stKbHt`*~=WPv7G&Lpp{cOo(dg?M*~tu{AG4M4`Xu8d>B5`OJo?tjW_k95ivL){0J zVCnnJMTZxrAgdYpoNv|&k_)9RSnnG^>d?2M0XCF-Cl~nBJ&^zf?-Jy+bP3R&u59bY zfP5lKCnELIo#57Sc|%2dUz9iTfX^IsQL=KdxWH z`Pn%C2=6=i`w?D8F5DX?Mo53_#I^hDTXdgd4wGfBMgC&!2Y;u;iZ~JL6t7#nPS@gD zKdhUY!8Y`esA-$R`Gnr40ypF7Dj ztiessPW027HR2ym8aUr4!0-^~ld$(F|3W|WM%poyGqO{+cpc;QgxA~B%@?}VM#w+x z|Ep)b|KWY{z=`a>76p5_#A9OjP23#tzHwoIKCrmR0V?=1*5r_`@!-ql*PE>-#J=-A z?{@N}j}f{DTv@I!)F$?0ywBqO7w@kh0%u=%M~ zqrhMTtM5H0|9;hi!)#Hs!H3M@-T+pofb!PA#mDuLA)QgJY+CkncT4E-((@`pzE*!y zvg_SH7!dIc$2U{8m$Z$Ia{s|UCH1y}1t${-Rqsu`b;kzQEj)DgH|c`XQ*3%d&X|as z|Fk&%Ey^VTjs{?nq+!(LAIJ|CB~};+$>- zDlb=inf6>J;`7g=VkIt!cf#JiIvb7r4RCzNalfL7Hb5WoLyDiciabQ;gTxLQ6TP*8 zirqnNtq7k*=t$ncpBxOIBbp2wf`U;VpnAKy8nX)l)Q%+GGb<$k>)rUvqPra-<-2@_ z8uA4!IXGk%;Bu78)@`QgJ^6B2}^8jk8=~MKf9? z>W|l+D4*)nW6HM#$derO7#&6LWcy>%RcQX@CwB$LxHx#YL%TrdU(%aMxBP#9{fexl zcX*I<#S{4H(`4jtCSYscG))rQC=bP*{*->Z2fWb#K(I$SYck(;I<0;opNC(jcQ!sb zLnx+DU9H9i>mHgH7@;3qq#9YcDEkL~VrjyNChG<{>n9{!% zy(2}P2qSrYzy;19Sub|la6(#fGacD&Tkwlwe4=XpFYkP?h|VLU-2zf7{s_0Czw}H*^>EU1T{?pXTS0}gT=!vuQ|jA$G;zslsL-m(0oGuLFhs4bq5%^ z79Q|J74egm-`cO5J3)ob!?Lw;2k@kFE%-uDK<|-4@!qu_@M`ZQ=K*kpUe0K-$Sbx$ zFSi)=hYs=gr_%npylD@-3UudRkJ|x_#09azf81bm-f#3J+JCfdiGKW`;f&EYy;OgX z?%DXc8C6esu;&5FHP2hqv}bgL`G1VDP^3e;Aohy4yIKQcuZC;BJ(__1ZKbPHFSCRR z*KK8*EJx6}G0cBR&JFyyP6>Ysu!SW<7rki?Cy2TA-SU~G6Qr_H%=42H;8a}4)=M61 zs9CEo-iLgf@Ov-Uu$-<4s%zi0{FZUlukm~;Paid^X2gHH$Sxycl<5JVe)(F|9YOB_ zpUCr-n7pB)&-F7|tQ&+_Y(!qkaD%E3DxB8ny*82Mwco{a?hrt_qKtiY0(yZNk`@71 zSh|>DKW%0U7voPnZW(fcn=(#;2aY-e>uIeT8>CCXKd1D!zF|4p7mmpGJX_CohQfO{ z2qV*WaI!M&%lAm63vk!&Z8(B{E}@49OWTp}+KOqe7@G}LYbl$gAsmfzI#jgf;7U9v z6KDdwkR!?6I>v-_al6bDJJ#k{?=nO{sYvF5$dflKl(fnKWdDK^gr;qZg+kr`= zka7mnX%V(ke~o{2fzF574((Um;3N${CMMUe7 zr~fX0T?>YXGL6+4Gm=m#Q5@RSkMfuI58MAPGX;v2Kl}HE3Lt&inmDN?x(~3JjF!_`OQ`zVqb_iT=ix6X$VC&b$P9$^TtD@f!|FGXW??J95NHI~RWT3v0xli1c#|XW%YaA|# z6-9GhxAUwx^7nQfEySosJz#Tp#HB?l|4e$u;(YhvwUkKvp5Ae4zx*VR?6ELec*F z?mBhR;C-~m-pQxM&o`bgg8OIV{*bu;QNxbDAJ?zp{A|4M;QKYaj_~=2gd0pO&|a0K z=K6C@l#jS)(&U0Z;_cyeiq|b(r&}8*qw~L7f`<3)HMc@bm`hBq&~R}B1|4ak=d?&S zx>IkbKh~4GBAhTRH}^^Y>;T_0-?CYy5kT?d6S=BhJNT6}DNGiOa`s@GsVu}1x~Fq; zrqK5fuUov1@p{7R?d4QgE9n=)f9e_Ue|TRkPJ3rlUgrYI^A|1SQGN#AH=gPW`>cf9T7d!^mh#JM>i4{;?F9}F9G$!_AywBqO7w@msu172U=a4V; z4i4bBfa6`~o5f)%^!>u|LF?JEs{uJEujO^6Mro)446W?Hxs388-bZ9piCS4grP(R9 z2ol88$S{%Y=CXq-5e~)_5*x_n@M?R2-mP#v!|{!)!0dySw9~8F6Jhj(iDot)rlvd$pCgj9uP`Q@L3$Rp z*_eep=-ph-DF1+m6C4Z{8RVu$zG#y2`Kj#4S9#>_<@!lykmbvJEOWtvIIrMyOs-Q> z*(Jo|#_>z~&x%Nxj5h=-r4KW_K)mOjxd)$jNNA6D1~MVtH0hb+hNls)w5I+cPl7SZ zotO(bbKDq`%L0ANN9|z6ee>@M^4Ul-?y~tuR1ef2s0&G3(8Evd&#nPSjeyOO5XH%^ z2K&9)KU|Bo!aS$stG@Nc zLwhS6|Es#5EB!+EY6qW%(^*Ryv>EIoQL#nWQgbR?vC!V9?lm zb4Y(6{h8E42NHCY$-)soiQR$HLDkU;8jdXzVm~;+?1xX1%uXl|B=gbxi%3^qyy@~{ zca$$sjyFVfobdtXG{uxVsLyKTC~XI2ApLsJm?uX&dPm}jf3_y-2p6IalP4&Q;cyha z)$eUN;@3qgHE%w*VgjV$X;F`E+CUdW2PY-cqsQ@TpEj2EM*OSKq<_2Z!G!Tj6w?(& zB2O|`nEGAAk}h00I;KjCcvPIZ22YHVjsw}FCqpXF^kC0ru3Mu=eBn@=s+Ci!8>s$y zEiZ=NUGeWzPHpJLL|GH?o&PY@42lruM;C_uueN%ew1)U=Dvn>! z9QgF~qgeA(b`bJ%7wv+ZBTV;=_uaD;!4j*D9;IJ320q@e@z3ck;n{+qc^=Y1PgorI z>u72Xe=P!Jevlc%U!P&MQMo9r+boaj=NQ_P?wlJ3a*-|G>nP```)q?U)fTWFtMElEH=J^UFT zMefxa!RWlI>Jy|xs$Ga#H*5BQ#m_f&h|;yIzPJ}Ni4D2{0<3+G*_@q|v7byWex|N1c| zHFoZ0NE!;cs?D_1- zcFT3;1PO6AT@cGsPTizXfy&|TD8uh4=X$3vWsLnJ!Aoxdy?54AW39447x1ih~t3qDWVm|npc_HwVsVSrh&z{km_ke0%HA?9zSJ3~7 z0%3IBi05Q?;`RfHlVNa|FO|0OrH+J%A@%%MB zUj+Bh#{D62|07)AkL%ZPem2fO!uM1L<(cZg7o2y6s@-(7=`tR~I>qZ2uTwQc zGRKGC5blR|_>fB|fv5Flf%^`gAXCH}L-8E(jdtqIx=|pAE5;8#*jn~TJqd=*Q&kBc z`Hi9CZSPARg#Q~x!{QOz_V9hg=4bIaEAWZmjMlm*myiU_)1gmQ6Z2nWv zc>lxu;>$p~#4N;@V=cU09e7I*@Vi`aJpuag&7 zWd(sCo8G#>zKg_ujQ3f*|Kj~s`R3Fcjxq-#4&b+nRC3h_4df8 zZ3oYAd|P@AZm)P%|AT*R^Z~pt7t~;0tgKC0!W^uAc1sHUk%#7x&C8l+8gox8ZKfl%tOY4Kzl{fp2BmXfRck8CPpX7*|L9yaKMy%8b>f^%~ zUep&8@%iQ9`}c?U8Ucsit>kRX0C0TAao-E0ucteL{9JFjW{mH*g7J4+j8Sp6aPMm~ zGhsjj-qk5aDasTR=ZGd>70q3B7SQUV7nbozA5!dJx5k?5!)4A=QL=ob|1n@cI@GQT z!KZ_@1NWnR$%)u&$DT_Q=M{X8NvQtj)y=I2IDR=S&GKC1L3_2&A1?J$p!ejRxd)$j zY|3SZ&mtb(ZhE!gl`bb>*$f{pMm)R_)!d>UQWubDY|4vz>ka+76cbzwUeJ)hz$5nC z2JU$n|9G-&2bW|c{4Lp>flPPQSCPUIvi?~LkXlm3r1d3IT60A(GN)51?CJKf_jkAe z8+tE$XP!>>#?%#(Qd%Zs5x?@1;Pow`zJK>gu63_GRR4NFq{RkSfbu=?x!_y7l@=8> z@{Ox+eVp3{3-dW&`@*q^y<4t#{!f=b3sQD(G{soC^8*Q$y1 z@$CKb8^0sIL&zrodKh@6g zCx3~>9{v233(PJKZX;ic6|?(_*W3V0CTk^+b%1!Mw_SU8MPcf?oOg=%I0Ald)?&v9 z7kJzuxT~t2CBX%Bl11oZ-rIw42j$dSxf%Al=RWmN=w+e1 zRvL8sq$8NtP2OshLAf_Ee%30qNYBsV%Ib938y?=__^i3*0PKCEwf-%BkQrV6%mU?y zz84U{l!i{gxyFc_(&+DHFQVgoPsSQJO4($6QI5~(!@EVEFRfrxuqt5WW^2?vnPvn#IbBS2=LIKMf;7L-mJ>_69MLhMV?NfR?bpQ>{sO}r+oPOP+bP`8%d63_(u5L>`sQGZVHu{w< z%-FO&(RA^G!k8=Kz3IjfrqnSdjqX)${y$ZxP9lH!kVDqrl?`Uhh za)j!Xvtr&i-GG$-lJN}k9TTm$S22xnhtoV6k`~22;PCiyP2a3F>{DV;9|`n^^}Tc4 zVvfkKPwl)LE4uG&%h-ljBb^L>PQKZUvM%X|z*PZX-wyQes5DuM8zLQT z=`vMgI2ZC4!q4|kJ}sWVhUbgm{@J)cB<_EN>-%y28qUwg`A7JE4Szqv=Ofu^dp{>< zUt*o&b&J=j^j0#3=RP|yQ=B9d{$&hTL*6U|clp9I{k z>6$T`Z1@w*-6z+KYi#xGy@jAxq39nN= zcg2bp^zQfn*E8P#@V@xaS?r3&XE*Srh_%i>VhecRSUT5$WD&>@WLw~XoeoX=-b_1?eu zAp6=x=5 z+P~H4d4PLsbm|!5u@xMsY5K`sLYyNc{u$O34su8D-YWGprO3zWM?AgvMf83YCV!*p>Z zo*!NO>yT}fhj2LX^~T5xFDQEKSi6eyM$JDC>smVn0!z|}`nY2tcqXNktcHa^wA5yE zgLVYmzw@*s<48En+E~5S=MI7IqDO>9QzL z-(S>Y^D~MKhq5!9aZ^+tSO;&(4PowRP&=^3HBlG?5^>#xBkAE_y7p>Sm^Kosf7-vg z_ACm@{rKM&QrN)ex`^q{G>wg*z z7g&7}uHWZ&cKb&N%ugTBAs6+50M?g2rRLqvpu=cNWcshnPe`NqQ0=N>zI7cJ6CYn$9=d= zJOsX&4smE8f8NXCZWY%)qP^+HYs#CdsBbyu)hqc&fZ!L|KO@#?4@S+t+h`T#A(Zu! zNTB%xKR4??6j{VaLO{{xc?b(R@=I8uW)1%C1lDOQKgfjK;Mc$xZXad~>;gI%50j*j zACns8{aloLT{9Y|Lmvw|lVz_@lDom8+YqBsH{zp|r}Imr_uG&6)J`2oyvyrWi5atq zm%W}Mo$jmeM&y;+l#_2IDtka2?Eqn(H3aM)U5v~SN4lhkk(^==ox!#2tL=!UH>guJ zGVO8q0XH6T&6}MbaNycddLXF}jCe`EeY52am#p8W^!>DlBbTzY-2a#FLpQ&^r^pQ= zc;d4k-?jsWBgZXkjcg#;C$4aX(h_*w{S2BmJYg*QoSeC;H}P}zQ`Z|FhPuJpX+`=R zKg93)=I1F*jd-h_tCysa&wBZF1-dZ~lmoQd^oR}Rgvr)Tefdx>0iO?E5_Qu!3y0Mo z6ncO8_nfq_Hh0Uuvc+~?`$Ii#W(R(uo1`R(1`zR5$&@8b1ncpCHniHti0vNtGWwFj z0prIgRLy#Muv}Zcf=h_!MxISw<!9d2|d+CNad`c1+P1#TYM;X@mU%Nd(O<4MjO{z6KzqIQNy@wby zjaE%YBmHi~*ei9`2N4i|+Q~@gst{JyD&b&jBMoEz1BQERC4rF%3e8^dW6y1B!gJ~* zFyqO=1qMG85I84Q!P1B3kDb2II(l8KzIdy0a@D=Q=cu;%hwNG4ww3F@U=#In^JSLKd`%z-~(g7*diOy*ZuCtY9Ha7FYKM^j+$T>Mml}9)fD6>?L+7s z+;VY+I;wrc5`;id(XJPXPcur_1?_ynEMzC&>)gmuW z0LtqQYVQkW0W<%lSRrBry$3#8(x@sE&$kSR;*b%l3p}3|&tJoHfN=k8+#eG6DZ};s zxPA@SQQ$m5e7}aj^WygyyiW1D#p|^H0h8d8xD2T3*V+iBD!@bUid^^aXdewt*)bkG z#Cq#{=1un%?X`_|9l88H0r{U)vR%2mp$PDy#L`w$9o&vwlj7Gy`>?~eiV%_3(jMo!hr>{Hmby{v({HLDr{)hL)28*MVahGf$E6hm!2+B#o`v&V}15Ioc z<#sG8KB3*?2Wj%bR66D;k7lRuJUM>Y{?6Y3;F)nd)g=-^?8kVY#rrSbU(-IaH2a-b zBH{p!3pn1Lr5idW?G-`9hna+;=&X1x;J>)f;i;4&Fj{AHCo-YjSy7py{nY*tvd&8J z0PUYFs7Oa>kv?W`!PT}aXpW%SUWspghxm6pc!uL!HTLLfM4rKa@XzPqL!zz2i&Q&l?QMBFqhcRBe>BN%X;?K|c)kfs_;#Od)>o%0JpL2&Q- z?OROAkwo0(_sVNFDvkohKex1)`lDb9JH-EWK8=XaCrt#07ka}W*N)~4k6SX# zL1o8A%h~+Ftmt-az@V#DZ z8Nh_{S9)m;PT3p7K6_GsnS=Te=lFJMDcccN3isTh4bX$K*&L7K$OjysSMWI|t~=pX zVU|DO_;p92AoN>m1VpYM+WS=ApE&p6^Nw=Jfdk*mkpAYISdTNxCAA*YE4c9*?Q>`n zKKHI0W60L=OP@O8!AMke?LBM<+C?&YYe+s`s47ahhJrLnqd@Xd44lca6Mv-t)Ly`R7U%w)kgP$DnV+=z&+;O`|uR!dneX-fs6S44QBu09S zDGp+9oTd*_35QWrz1l|VXlTs3x&C4>26QJIeA+s_L1N5YZ_qac6s}fJ|2^ji8>~$u zUyzO=On2=DGr9*JyOcJlnja0Sz4?1LrO}?|ZItted5Sp)VoKq&%rPqgRkEs6kBoyAV(IAge&=XXz33+;IZY?V35bm6Y{JqhmW zaKL>?a&50X3-UXK{oXtkVDU~J3vtw27(+hE-|TrVJ^f&WRfO5@Hn6!uMt&niwIibDOvD*%0_E9UE zAU^8jqS$68T2DxlPIXMLafg?;N+%C)q5O!qmVsQxR$#)l=RQpW@&}LJ`|#mCe@Jfa zuK8*d1y5Bss$J1Lkgc@6*^s$CJnWk6Xq87k7dz*s#dQj!xQFt>XycQHFPcMn^lf^p z90Jr=AIrAmvVmvQG+$O3ov|A$vYAa2C$R~mtNyb|Da3h6>){^p{0To$XcJ9(+p7&4 z)dr>G9X8-GH(g#cFzr6@x!{lr))P0~*`TaWJSUq}5!?>EzL<0yO;A7DPrT3dcDtIz1YZKO zBbZ!GvG=cq)_eZQVFs7T#Z=c!F{>_VnHhUs%&(t$E~r)mOft(#PEptr&(&G;-^UY= zqx-_|js~tfPFSf+CtGp5Jtq68*(CQK0b5uQ?q?v;z@{J5JU?M>f|U)6r*@4PVv)3k zG&8OLyT8fS2}`Iz_qZj4K$Q;0(A64z@Usojmh>K<%L|6eTT{zx!SpYiy!2S9M5UwBO#=4X>JYfxGr-D^sw;^7H7E9kW$BEw9-l3+;JF2t zm&WI@7gX#?1!oUo!52^42OKiNU}z87aW6d#?@KYJivb1V;b3s~b>?iMJ=nyS$L)P- z3$o|?w9b2=_q*f+fpr&AURjUr^n5h|(v-(E8;65ore6M=*(WC`G0bPb$sGl;v8wIa zf@qJbT2F$pnqW-idxOMIXo2V+lM{P(+rYWA8v7W+eLz#jJM6)C2e{=JyVuPl6!K!( z{I_gq;a7&1O24=>kUYP=QW)+DzX;Y@235$1@6p)(hEQKP_TfPH2CXmX&c3}YPh)`m zDBdL3oRKG<6Ml26k_mPf@T1x{nU3zqf?RtVE>tOle#*SGvbYtH=}fQ>S?Lqcci}4& zAXh;9-lSVAC7Bi&o==PCui^P3xPLb84~h33*zx7S^=mjk8|NS4`!)Ri2%nGey2b0X zJ@5LjlU$=MgbmTvE3x93SN(4FN((nIlvF%uzJ&66cIxfx1>2lkD9@qiYff`Ki!aEW z6ux@(vmj=WD#M%KAOt!_Dz_;^%pmyeS#QUK99V6cGKI$AtSnx)cpc;Qgx9H2mD1t2 z<);6sXT1O6eUYY2S>b1d0X#hrGhXvU5ySgNxV+aFdIf7ZM)+N-c`g)&o>qw#75NkU zj>F05n8dnhND$EcvinUE@+bL!{TT1Fc>l%w>mDkNzh0GwL>$0z0mr*rAr3qvuVaY# zp#8T)VtD_pmY?sA`eyj3LgUS`*b5pFfLys(l&d0O&YL{lxzHa@U27bVKzhMK^*zBo zg`tq~(4>{@!oPTi<6G+6YQ;b`NLpo@T>hHV2k>2+WolSY0^r#~+p{WFd3<2$%ZqTL?wzAPHd zJj_0Y%)|m&gRP`>Up5h+U5`HJjBt&ByUJ9S9??O7<2#P~1xj=F?zItcu9>U7Fe(U6 ziJ_!fh6qTVz2t1R9tif&)Mww;rDOOUq0O2ce{Wb38hB>;e~R-%hKTo%@=X2UAmJxAY!RMG6!HRb6^FDy%S88tC-nGRDi2m>+ zyLS!orFZ5YeBM!-c=1FV@sn+z2sV&4q5LKcb9z&W@|)LbUj7R90p&L?xm$mb|96iE z?=<46?x)lkzk+=1K9XPsO~^N7Y`IAG4f3C9bc-NuMDMLiTwNTpktj#qYTeur@tjKi zdv7dPszBi0mi8aWr)MJUFq@tO;^{CnH$;1RfJudJ$tA?2$LFE%?^92AN!ml5iSIR! zh<|z9@9uRmmfUa!$y>v>`orC@iTam}GkvyD*PF;z=!^Jpv7lv5>jWXczP~v}iu6jd z@G(=y7LKw%O{ftuz{apfDfKEN?1#hBqpiD=uwh2JUMPV03*37+mbp*EVV?H8^Oi9hzJK{4lZ@4YR zyTMdB|0H{+BY4*wu4L$O0}B7W<|tJH%j)c6(cXpL>s0JM4kBGN{(Tb3S8k&VwSme$ z8*%}p6H#}(`_Z+|47^3hIq7Sxfijap>V}UU*xRY~{QhZ;@)^q64;?|gH?fxQ3jB!Q z%dqWG9ApRiO{FduQ4UoVg}AiBstqjAFQ->GO8|F%=I>#&|4Z*2vN+o42st+Evrnq| zVYfv`YLlH2;OA!7lbLz$qlhOYr1opqiXGSqVuX{3uX)RWRF9Kj2QkkKvKa+Duyy{> zFc(1^;yi@kOVfRJ-Ix%TfVXk^()H5F$5^vxqHEd~o(qx4jl9={1oh8_{+tq6%y4&_ zr?5DN>ylr!SV-uYO2W2mUw*%n88&@ePiWla0(ALl6u-}QfsPyRfBI`89{cA0MbQh! zK-v{E&=uwkwORQZhU9jTbA$dhO|~6~VTT;IZP0u_6!qtWlq2jRX`vZGJfMpC-tP>^ zzqcK`AaD0f0VX}7+^o@_@MwirzhRRO1doQhFdjsF%bm|jGEX+w&H2IZlZUb=5r6rE z^0B20>OW;AR|CrS%_917ri;u~CS$C-^J?ckmK@`@U@JG4IXV6FC2g`E3Eo^p1VSy zV%`>GWiUk6l@2>i`VsqrprFF-7PNN`sa&`zM0OtjBuVrUT2PJ;dD@?%M@~?i^G8?a z7V>S`=}TN6f*2CJ?4ZqL=wcfw;-7wg{P`(!5cn1v7KlA}gKGCPH=L1wfnBRM)oqm5 z)|s*R-a#4ppc&jM=HWvB-r-G0AT!cSG(MgjNB%B176Q-QpGEo?@yTWjZV#}nQIDWt zLAe+eoeQMW9&mR$F)X?o@kg2KH)PYD;M})6Ke+E9KZM+7sgHMkV9Ss1FrBs^5PZyo zJ*b@FdDW}p_eh7*D5Z7s*dYZ7e5LX{MN1Q`r+o~0=1hp^WSLOe%E=`R^O|27#^Wu( zN#Y_SnVBLSy*+AB^I8W6nX)O}Ni_gJ-#_K-d{VUd;0$$GvO>8V5VrR)Ss?x$o==PC zui^P3xPLa@cX0nBypC}F8qUwg`A7JE4X;ytKEmtNyZx_{T%s8~H~yUwmTwC~);s}i z<^<4@U?SK1>`1IPn|rhGGLQ~-%qE1C_aHA&3y)fkpd3A&7?bo?Mr-6-o+~7rk8+cR z)(*3%I|8#VNp<$NJ+W@_I>ze>uean=xegNVZT?fwc>lxu;?RtX@V1c?uvP96zKHbk zc;B$%NQm3}6X~jglq}}@MZkx&?bp*!YqEIX5o%}XD@`!LQXMkWRe~HaydUFz7Vp1! ze--6*8)98#C*lB(3pn1r{i$XUB_>Y92NybJ=6fU#h&P-@V!osR;Q^gaR^Ce3pbND$ z&og;!{Qc$af*>9Y_RmXAI!b_;=J>V4-wiSInx}7S8;%k2497RRy-#%u()j*^f9!Y6 zh4hea``vzimLE*ckZ{v%H~A||u;1mfi|v6W5jPFzPo9};@B$oXYwfO0y^-`I;`Aux z&nJ`g=smEs%w!kR^WwPM`Q%RWIb#QquD(-SfZnryZr9H=gv1c>*`@8MtrX&oQ>kRG zOQ3ul9N%%=f0^m87`E&P-}Yn)7NNd9nU^#L}zy z<*P{l%+L9Mo)7 zoKrO{;aWwNSP#Z%G)WA-dWjt2o;{@Kwj7^oVDnR-rEAc$7Bnaoly$_B> z`FL$_rGyNGi1<(At~F6Zq7Lp}Ecd!ggZmx4Z_l)MV<;uEbzx?pTV9FU!HB zbR&M{lhVMe>Yp{>s{p06a_-M=3V{N_#yyN*9_`Ppwp9cbpoQf6A6mpWK1De?{!+&f zjzx~?#fBlh#QGktM`z7JtI|W7^R^y5IQ}T{s+}3oQ(yks++_|CqJL@B?^!?r%MGj` z*A${dJfq%x(jk6b<$uq$JvzVDl5Zyxs&MEOa5l`J8n|H!x4$|b8X>cVki5Dg$vwzN z`IW_yN~;rq``DhZYT=bIH-Tma!#1ySD{whhB4L6Fz=gY}za5)VzFjH(Rwjiu_;wGw z6d+yHlaJw&QXF=~KUY9>R&QQZ9M&7V^$I72fl}T{smP57%q70(^GOQ9LxWc}9!$m{ zc4B@1oq7{s<@n9tZDkIs6d6}Z1WjRuPQ~8ckQLh+Bt8EAumvo8kY{Fp)`Q_w71`c+|LW3+HwIc(N5UxT4TzZ}mV6JlfUhM3LTl zbClz8o;A{il%A4Xxn>LJrAOK-E?7e-)gO+>>I9(J{W*8d3gIO+cSqYl=-i4mPd|;b z1KsZ@Nk__&FEGPTE}AA&IKj4c$R6pGYD10G{H3ixWRS{!g2M{-U;MM>h;m>!H|}i2 z-?brrjxy%cRLBg<2|Mm0^(@K(&W%ic#$2sHtIqxKlR8I`W#yCJM1StCtI0!0n2=xS zi6u^-Yld)oF;tCWL=)ZzsZ#t!Iu`t#aL``+Rk3UU&%6HqwtS3qTAI?mG9|X)&G-4# zqh2lWYQMRAW=6AQA;@Z?C;3?Is@XliVb|0)%@21 z z%{cRZDRmy{4{i6`Ey)R3fkw)p#k~^5JFdznIC&#IW!MHcW11k$FjCR9AwPpRQZ9Bf zlRA*P+g7Ub4I6w=P?s!4dU@VsUlnwbpHRnGqm@Q6f!G(w>C98FT-5~Lrl!XWciDlO zuSsa)w=tZZ5~&grHwE?X!O9EeI>f#-86)2-5F-tmHGSrS#d`4da?Kwz#Q&ssz5iHG zObL4E?yh$IqYH`|ITF5`dNBD+=H}x(e(dLzX+wsvDv)dOP6e9k0n2d*fwhO{uqSS{ zWO8PPppqO{SfGsj6<(7Rbsmz2^e-F5eJFoMozZ%XtH}_?mv0O`WY>kM#nWwrlLWY} zU3LBKrU{7b<)BYMzKO~9s{PO9RAKgPQ{=A;=8)?yc2#NF7|v-{7i*z8P(QerK57`9 z)17l7$IYc#dBhFe-%y9TBVMnSk1)r*5OdJGd{XSPpcUkh{%NORK|iOR^Uc1OCy`GY zeVs2=2X3M{q2PGP40|8}HlRVkp$pyTcJgWQ{53pZ1n)bzKO|m9xV|6Pui^Y`oPUJZ zDPFgDow{hYi&!<7Kv1`7qf>?+y#9PvA(j>G8=f+G$c7S#^_H5htg40Xu|uZcyt(c; zK=IFG`qr^#a3Y;k@^G;Q*f9GV+%C2T&Z3Qw|K++|sk&k6HuG=Y;&qJI6JDo}uaQgc zF*p8iJ@52Cyf4y;H;o>Ow1&CzA--XxOTha^-_o+AJmS}Ork@}l%wYk621$%APFz;OV_1sv}tR^*1wn)omrA6Wfg zFHn6!zSW&08L|aB5a5KRhsBwJ(yO>j;hnm0R^evd4Mlw@&k4RPtziZhQnlkfd8~K{>cJ1B!*jLN4?@aXvyp*O} zaNN8S9$ep(tqnNN>YExrSGk7#iFa^X!JI3_sZ0gldalLauhu8xuD(*VqOQUPxREyc znt@_cHj1=|MJOPLh|j!7x|B^_08*5TTqKVv0*>!E?hg+aOFkAh0RQ9H3OyeffSxmp zDmAAzL|C~Bs8ncx3f2DHp@%udIbtEJ#Z$o17Dl|ENVlW>0E<0jy$K!WaO1v@pqRZ4 zU?L)14l~GqIcc@1)Yb|z?_uB6s?><{3O>iw6(8SXPSXY)zZOpTRK^ZzfDY6k!Eo8es$pn^7-ohur;(K;R2^Feu;e&VFxVFM%Cgxb%0#jsO?{C-V=sOV$u`CQJSNeIv~LkfFEYygD?MopTvGrwcWtwJJAYWt>8LwO6=EScn(w7dUT}WZ-_56?d zeqX?PTmmfjj+}wz^F9))81lu>A#ILdv4(}EhliZvb%{Rz;a7wY-tI*Fa;GHkyT2R& ziy-KXpm$&+p$~sf_oMeGy&7HxdT5{xmn;!Acy?ZAqMy6R2xaf`V zxL(%-?RQ`FgU^T~pZ8zxp`BXr%6>38+T9R(!jwW^(ddJB^4Xbc5^IR^O4(pa(f}S> zFXwxt`e3W+sa`5>51*xHy8^@YAZ`4Bq^p-0rZ-T|8;yPrmk+&q9)|P<8@Ft)Gsg(S zFDjkx0VYYn&&`6Q_WfOmFOi+C$t43(yd=c-VSrubScLx7|iY~Gi=dg!JFc2Mu+ z>XQRTfWOn@yoQhv50}jp!0>x%bx+6ZL%jyTH;`?1R*w<_`q*=YiuExGHz%Rhv$`1W zYe&&-aPPpP0CvCn>!T+H1nd+?RdmT&VT{p*b@q^!Em%)o<1sQafL7L089pH?h@9-A zEts|hn(DXB!AI19K0H$6W9#VGCv__3aPDdAmgtU@tl-# z?mFg*^5e!#tD=sx=)`BAHWkx!4@Ux^HjZmY0G9S+sdEQ8u9dV*62Ar#%d`iY6OxBVFlE zU)m!ne!Tny!jWHZjWb#Z@G$Me)t2u*aMbI2Mo7OMJdJJqQ(c1cR?K$|Hy}Po-SIC) z8j=REW_Rqb!UbDkts`yTLUX8@!9!13Z$&up@##|sdn-7?wW^}Nhs1Zq&DZK#MQzPxzowpNQb!NN$ib4#l4CMMExGW0=V)I|+=d_9EBrAMySWH$9dy=8*!my?Wr^BC& zh0&pXRBChQtu`Tui1B8jHa!dY`JPkYfB4N@5t}%A_gBn}BaHCb4R%Po0y*=_yP$5Q z3;FnmJnx<@F`pLCU&Hf7aQ|$)j&T1YT;GrD*KmF|UZ;57;&qD8M|pStYD#HZz{DDh z?C)kh^!M`a`QQB=uebNH>MyE!k^kvugQ13s3m8{jQC?lR75pEvzC4`jw)lm*m zyiPNk#{E90n*6Jtas0z^(Y0sN)y2#S9{spB>59%5jvL3V+B{>c%)w$@$w@m(9b>28 zTiTkWj^Vh&yH7MJ*u)h}qHel4v+9lEc#PvLj=wm*GC7GoXkp@~@Bq#WINv?jEM)Zg zu1?{H0k<(Be>LRKDZnYZ+d&vc60WcDezC^NTNEmI3oNl8tjb;2>UFT&H+U_l4oYBD z2OfOce8dIgQI+#gyQWX!Go0VhS}c2a4e!7CFR|wX%{gOG9F*eYJA(X>U8ZJV8Y%*B z6H|qisXm1_4}E$t_~<|WaDRE$l03W-?~VM_{_=Edw74YE+5+C}p$dD2o`Z4TE%7uw zV5MLR!^g#D>(vC|U_sMe+kQU^KO2qef7DeshFGTdM<4E30M73??_WMEcD5AVD>qON z#^oVio%5WTJ(OkuQ@fsgdrd_BGx^I--tj;T?;}PJ5sG_|{=D0=H*V;y8_YImjjSL& z`MB3$q0T;}QQ{w1xtHv`QmmwHr|#?I~>R>pbmiOwS;^i8?tE69_8G$hl$5$p`R56;q` zMswTE>n;a$U5K!%G0wS;bT4mZPtdv^4FR+311Gu$1Hh^!SJz`xFz~Ya7lr&rI!rGQ zeR<1Jl$SNMqHvrH3%lB{X-bnoZt}ZG7V>j{GdNv$C<6IVFK$jPJ8MXJU#jX#PZf|q zR)SbLOZ^2m@Z+J0Do7)N^Y2s=|6m~8IQMD*L%yL8XiA>^$3FwOO#xOv zw?Hx(atC~m0pI&Hzj$t2Dqk>VZm%BUec*F4(z#U(i1zsgg3I|$!QJ^G@Lrrf;@xyG z#rOAElHt`G=>M~X1bIC{_bnnkjmL7sLxDYc?Wat$H}vpv#O;j_fyaEmT<<0a0o-Wj zbBhmx5AjK=V|U(#>lOW zBfv=Lzc6L&0Va7>z8Ye-lylYWJEsxo69~e!PgGd}5;00P<+^ zb~2!SIzi!&PRwY}$EEk&@Es~OGv-D-Q~n@ zFIazZp(hRb)#JEu(bY>aRzw=SKxI=h<6;MUb?9Sq1Ob|_@|I-8qCKb)-l|WJY$&+2 zeKR@JoSg_0zr9jTs1Uvwr_o<&_kgy?Eu!)*_8|XY&r)9<%7dwEJo6v@`STCoPsgBr z7>4SsOPMcR;PSR((TU7taN02?k=@_~R^=i>!4?iMx@fUtUTy;4+oCMZt!&|DU#!hX zB@Z~BPSQQp=nkjC3R<_G_kvincn@hme|Xz!b}acl30U13y%+Wbp#9PO>di0gp@(>g z`jjOZEY1c^3nT`?{xR2&4O@JneUI|EpQ1nIoT!kk<|a5}VC;i$a{v$8J5nxE`%^}O zU*>Q0y!->%aLT*KoK*W zS3F_2=+M;mX@5%H;&qJI6JDog>_@iz8T9>EJ>&R?<6`*w&M^H^Z}>_#9P_}+6>!{` z&SBLULVKy&x5Hoil!t+y9aYw5r0d3U$Ap?tPx=rBPv1Q$KW2dT|Nr7Kj zU@7^a%bmglI4|IQC-T_Lh4UGa!VfknRjFg6?(jp5X3r*NH<*;MyWSoV2Kw}SBwS{K zpgE_IoSEtmajx4d%Mo80Ieg4$;f;p(zposB)DT4BGo0VfpDj7BVWaUc{^M?paxq7~ z=LfurVLXb+A4p7CZfwRCPWpr$O}t@7;mylb(W^#cZh-S_RrAFIOm<`nPY+!RQ1#zI zgy0t~(ef)Or{gd0{|#&_-oY`^@$@tOA- zVYDxB|3#bY0d8x|d?J~o@8XC_m9PZW8LMM-HSuI0O$V^^y~klZCI{Edn|7a}cY^nc zZx22$kfHP)!+aeailSPO!&9i}-TTix={~>d&ZBp1P_C=1ou*zEmOJRxw{%Gk?({^= zdHw-N)}9M~!(j$p_Dv}lSVf>juE&V0RuP=<^L<}*5yN(}=IA#ss)JuC;mG86OVHJP zYoAf!1s8v&J*!3cBTK^`SH1_y!0r7Wzi%11foaSlbtO6%@>}biWFC6J!^%W+ z=eZroKX~()&3GpIeezIC*?cu#w_xdGtkCcD*+DQ<=UcgrtdTE5}|*M2;a z72`+zG-AM)MrVj^j(1f)BAJcZUW*<4o##f`^Tc&A`xDy4f~jpOdkyJl__u_(ctUmN zO4u7TPdNExCiFhi7jg&RQCUJh9e6InM7UC_A=*psd^I;&rpANGl@|oFUL?Scnv7~D z67q|bV92*D^#i&r%TQ`bG^ZiEcL~wCgTujQqe2BTh|igh zTcEx;N1@?tUOSqbn7T2|qx_EbJ9g1}yplKw4Za%5fk7rdm(&AA0ElUg~l! zH0%NJ`>wCjr6C{C%A%zcEewONT8id-ssiES>TP;vc>|OJDYKhl&I3er9%U@6AU#nn z|0#df!*Fc#(6>P^GTfaEwwPK92M?@+%!hm(a9j|S(%5@H)dd*qP0fB?M)zG4TpRP; zL@4JU?g-3Bx!}@Kq<}703NE!obrwAwHG)(7=C-IlLidR#-A^kkQQoJbRRdcN@^vDA zUFWh!IzvAWPG%7gh_9vdpB3E%*~z|^m!zCQk#u_P(lcvddmJd!;?<~ZdVBWfUPez4 zIB!}yH-h#pDi`J7@ge{Bp5;x#f*#Npz2;`pN`wc)8|+)m>_H?g(0%L4a44s*NnTDw zdk`*L-?pI~Of$pF+I&^c@OCo$efBADa9C@+=&5gmd`s^NYThM6HT|}gDI&@@|9eiB zZ}JPMG?2lYbK3+h@@=J`SlMU2P0huYpH|F z3%>vmZ*C7GuLgn!%h*ASE`Nw-W_>P!^m?Ct2}yd2exSM$!YuI3i-J3N{u*9KxPLb8 z4~hF9;rf2OPVxP0eE$f)U&H4|cz={|oyq+oO(3P-XtD%!g^>S?@#Ppgk0ug?g?8`D zEg`~XKAm%3Ql8-0@v2|!6v~MbvuJGz_l6ca?cPtj{U~*d*D+pCc%9PS3t*G2cKug9 zs_@jRxbe4;E{5YVjQDPrRLgzjpz*aIT%91Z8O2b6MR^y9&Nz@HxGvM zrfTl>%bAicfb;C?@g20PX+9L54ia^KH?eL3W{X1u=E1fU-gOz=XB_CO1!c1Cr%m#7 zus!+(&jtUKQ24pj`JB*aJ54zAA%+hNvICsoao#r@ioZg8)fTKJ#6FdvfB*Z#T04n! zGq{5ll~ZNgg5H-h`j6SAls@9BfP(|ikRR|QrSrt)d!dk%qL7jX)PE^SD0OF{yqo^} zx2CF{VWCo=`;(V1$RsVFGp<2fwRR>62e^7|)7tS* z!IZuS?{{c;8iKSXkq=`>VQCG!53p2S;GH$_1-rqUiDC-=AgN7r<(W0g?=_xzqgoya zrlxb2FANFLq97Z08P#JYKU+YyoF9~mn0=`|?gi2w2Io%H0JcPZY}Z98K5S3X*eNzZ zJ`vAjXB3go_lMPn*y>?VSX9h4I1x<-4f!lq4hOVf{@<_fv9%dPR}@c?;i*E9c8xZf z^8Ft@-C0yG5bm_+8=jFk?iyw~D>ke~4+g6A~KGc)=nrgZvgC|kNGCqi zlI61%%?0*Pn%>&$2i@m*99Vn(AnLQoSj9Bb`NamEv_toz`1>tB>uz%4unTBu#O%I9 za0Le+Q*qgoXpiv@*6{%86#8H7aBg1ohdiSYSGi9}fBrYOKG-1lIzRFa|D{nTj07UN%dgl52f$T*1iZIfThlNZ( zc^Kml%5HbwzIxyT+;b+*DPuvfH(NSiM=OZ(I{q-pjR2}3h`%%8!0Q+UD<-ToK`0kB zoG_hwEGZPOKUX@+;}8sqeEXkEa0P?st~zU$1rPXX_#yHP%DH8tInz`4(wA~hK5u0# ziQR7jF&U$~XATDfx$bOH7Q%s$lyTBL+QTI4sw!MVK8v=@YL1WJ`oWhUDbniACcxjY z?f1R~l;am`SL}Gjg>tS;CTe49<-_1O7mX|{@+*BxB;~%5L;bgOx?eQfM;a`?(yMKQ z`WBUZTHXk6`0Pcq#XH>x`SYF#za&qFQ|DLr9YFV5?qADAq!USK54!DhP-qy?zK*gv zr5=HN@Ja^LFnNfO8eLufg7Tcdy}f!)%@wZ5r^wdyszaeM!H^c^b5uzK1dE3JB z&s~Xu6kMn%-La6EZ3^K@QfscWl5n40YgFWw2RN5lxz2eLL67I+3sp4t!Ex#Br=>cr zD_$UKuxUj$*AvPn#7PWgL9i|wU~~=T+uiR{qa9?<698(ow`8K zEm+>=!Q=-5n_nDXoksph_evPgBfP}V$%1mn;J}kG2tM@nCHtfg>|==DviuG`Z^Tti z%^mTDcM1z9Pgx=#oxkUM$A^nH{IgyVq46hxm(2_6Sw|wZj*>ymBcxrcApnjlhSNo` zBVSvyn}zNP2yd4*rqZ2*F)g@e)#lm*myiV6Ac+vR! zp+LB6o;bVWj&!p%Yh-cse1+pq+{K-?%==KkSG8MdQ)M6pk8zyE@fXL}udlA^9vT0K z2XJ1%`R=UVfOOdzHwr&6)ui#nye5Jp!Kpze*%93L*53blJP;TRyyUui{o$BGPop#X z`?~tJ9oT5}2ij9CaOGGCIP3n7QBOsA6@U2*=eGvS%O27r`v2lTqw)C2S3v~G{6p8Y zjB+#1hCZwu?R5qtWyXC+k)9XlO(zyIV^bpuaGu?yNOk)^_=WTIOkS%trjPc(UvsH1 zl?G6FH;_^8BGrHLvvc%W$}8Mpdu|t7K}98npQF7OC!4KEu<4J{iYL-9vP?xQk z1cO0J0~Mc15IuO@F#UiJC?1j0xOUeKhI{U*9Odu^j~+G$S_vCUzk>HM)JiEkXJ(OK z_h0^UO5;-OO9()|FogcyETNRX2k&s+<34)rscVmXeg;5|(4PngeWZsCvsp>H_RqcB zd*A9H4tvB~ds&O7ss8ClbQ^8CcP659#<%YYx93GnsJfc;DaQv=c2M6wdItGG@=T0J zN4S93*$>=)NT+hNsxqzbst*X??N{(db4%WpBiWpiu~1Uhf4#ae6w02@Yy8NI1nH}C zd4lhdkI=Il+IHVhLdW^q=eLn=#a&Oe`Bs-NytP@1 zxlJF2n360-QH~n>^?hyc-`jz>qD8=)pStjwi+9pu0qL0{x*MYvqJZ9rR?liR7)GU3 zv>R4KDF5!qEu+g8D7U5Vm%E@5`g=%zm$It%I_uQ6lTPD zLR5^+3BMX&Sgg2uF&@nk;?&&c^7=U8j_T_2&oZ>vYc4}N{+S4CYoZCI+ae)>&xd49 zi~0qxLAH8Ux^vKZRz1Ngalsb2pqv629XbAQb$K1Mpd$N29d|6PuqSO}wI9|6tjd2wf35SJTukc9KNMJ2|{hs&^<)xfAnB7DQ0;B0inRj-h zys`&(^Y7jX1X85EWy+aw7)hm(bDTwfP7-b1$!DVBV$7uEl`|2P*Ky`B+3s{9LBYtZ%Sf6sP4l`%kT}J+{u561iUAHV{DQYy;I;(_ z6fG@i(VJ3mN&a5-kQDOk7!E)x)^nCnNGjS<%HagZ9wi7Ip0)-9*856li|nC2wZD2- zr3JLxed;r@7lU*qR_<46M&P%R#QPHYXdNmmZ?9H00=fg+q~n>9FMUk;8Cek_tmQ4= zyWTWOU~?AoibwnFcN63f2AbOg4@>daDphZIeM$AbGUA`L%7SAAq=W6!@42^z=F?}d zs%=iqF@yu`?YVj4B;an?vd#W_7=*L(grtT9L2PZTyr5GM<(wp0itNx+OoW>g-G*ny z(f#`J=6pGp0Jw3*TtkjJ1o?~7NZv3;bF#nZJ7Z{dn_O!sMDX>I)6yN_(QrPVu_M>lEM5#`ll#`!#%igxA~dT%x&hb~H$Ie~=B?9uIW;>uqU~zCv;3(#)eg z5+uoCIsD>ez$)%36>T9xfk38UbS$uryME=S@a7s}7< z=}4sDF^;o1{^IyLno6Y@Xyr%Y0h||bzANXd3&|t+Q1~JCz_zGqJ~#M7e#Z8G)g5Y` zzDRwfii0hqzAS9xQNV2mGcRV)9>J%BlN0^n(6jAQxY*7lh>Vl)UQmmm@EOi;Jpp4| z`ISun#eX`=7ihSUt~PLz{8N738)z@5=kM-xgn5^i$0h4p zd;jtKmrhR#Pye#?5;a5j=)5)Zu1q}0ulFzSF7v0Am!W!Ku)QAi2j#V1)-~}?8?UDD zvsI$&vlgT`G>PiW4%72Qy5axF?>O&Y%zNTcEf)ya$J`Zi_98z2T+w;-BpJBJFID%J zxq#R;YUf$5YDyome5ZFH*oO$u2C|d|1)act6XOrIJ&sUL?NH5m(-B+;`ot>*Ex>&5 z76x&opYk-44mob2N$FScKIV(d(&<%{6N2;Ca0rdjLJPvT6tbo-+Oxs?9=zY-l?ikc znX>@*$1EF_t75<~uN$8D1o^^Edt_Zp*Tja?V%)YYn81cX`msWGd0?~+6rcDl1Sj&g zPY>G$U>^o9v?w-dWA&R)85|h1$J}K#EIeBxFxM5G*jZ8l#&c)gO$_aM{q>{|75*uGdw1z=jBG@ZgFkM)lvX@3AV`R|dnI zb+O}ug-kUp71%WOwk!T9wMzv>1IR4lsY-ii2v%_Ob*q$=S zP|o*6Z0?NbmW@q{SlGV1Q7a?KFmqb+i{4}yEIe1QyZJN%@XuquX4z+y+Y%}zAG37@ z=wNau=)x7xI)NTzunO%Gvv!@S~Esf+ROFt}MjZNLHYXZ-Y$?GNO26l-Sg&cT#v zid_7U=;r* z#$iJ7QNexZc;D@ioY9V_=!W|e_Ou70d!KDTGS{V@W6*!^Dp{>0!}~zvzRs)^O78e{ zQ>N^0|9H4S=w|Mdl;_#=c4jMe zf{_sMBk$64>u9JXP+t-pVg)W;uf$W|0zfm0;UwvdKbURRwyJ1CbG#%Ko_o!4@F~%? z*j-;6j9&zw9*0Ee5cVRN4#iMjx2|_cWAUpTmU@6XAUHi9<*}URenLux^s^n+!tb*| z;xymL+HeYZRP%Yi3Csfix}Pzv7cC%kChuuyrzS=S{`&Akf;Huw7^V(9=w|o9u2^%^ z>)(k45ko^0v0eu#vx~ETsIQ5AJL@Ym_eB-?4@{O%wd;dVlKJ?dZf%UoT6!jc%^G5? z?OAoG4JqepcW;il!-5O;=3`A9yQ(wB8hZN^NyZgZuGaS6qUVZf7vzYi*?I!Y>yq0~ z-FPwA;$(tjzB1-F9C`X`v_D)wDrmN>O#rQqm-gT7m4Rz(tv)@q8@8$agVS0e6ZSf^ z_KVcGIrj2QTz)da4CI;WYAQ<%;NGj1vI?>pyxc*Z=UZlji8Q+oepq$Hh8)gqndjug za9pt9(B8PJYlk^CGO3U6lgG;6&?uX*2w)4(@*l@^Xk%Zy-{@FV?WEw6erC8@Bby{> zIgY@H%Kqz(%fn*FBkc!Ai@zErpCtuq1~8@n#wVcC|Tw@R6J; z_LIZnL5B88&>l(uta1DVBnzk(K5mTw{G8|y+KN8r$%X|pL4iLqfk6DB(j=}J0h+c) z&e>E%!HL!53s+x6QO>uU-0RHysQ*r@CT_mPb`Y~McyCA}u?Z8%SlqdX>(?n}!~eSRfugPcQsCznjgr^WNv@O%;6KO3)8-2VvI z_v89Cd_NoCKf>?V@c9wmA6;>!J@$n?1BOP8^@^wUVPjOhbZ?m#SZLfZY(o9EiFaef zxsP_BeBh0)<~u)1-QsnO*Arf+$$QrlP9Gw||JE~(e>g6>@?`W8Gu`0yr`vAn{_=q1 z23u6S9A9GubT?KQEd59UUe|4(ji1F)aHr(Z8@kw#)4+CSxS25>yaaTdp49A8r} z8xL4kMa#$HewssmP}wz%~R2frw9=F*+^V2!Ui+H;PhH8t%1@sI|hP>tjMi^u*zpL0@FeeD$v^uzI;=OFHy%5~GVO%v_iu5St9X6FE>B}% z-OgL(n_vO#c{`ngSZ$%OH%PNi%@np82avs84pN8 zemgt0#WNNk{-bx(a`uzLwrOy&vP>V|>&dLsKeq*&3@O?;VRr~v zmRn{MF#~qy8rNcOq@V9hT+b6F!oZ!q%+cFOuz84$nZ$web6It`KcUZ`o`C%f>(Tbqk7(U zply2cf+UkV*c!92i;LNTkfmz@1Nu9CS`geV6H3Aut%{y(mDUIR-1If%>U=_ZlH<&G z&u=zDd+hPk`mz)5Pn7^(QYEwXR}; z*~gqsc)Q&I2;wJ94ba}=MfS+8V#uE)|4A3)0`h;u=lveis_x24XwRi?;4#upz;{xB z&TVwR>)CC+t+9y!q@dhmRA|5I7(lOw#Q$L-)e;oOYm0E4;N?CP;LLH__KziJBY;P_E^Z}UEHGV3(tODHg+iFb% zG_a=uQPFuwC#cUjFlcbc8Kx)bBZ%}Q$~m$5x^a{_lmy?Kf(McpondcF-=Fk#bgwN} zvK%hz0Gd?Jj~QspfK}N4>T`6jz|`esG{4mhk{T9TcL%w{pTmWz)LT3#=PJuDibKIZ z4E(O!URp={tCNo;X&3jQdAZHXZVv+@q(0qRQB;EVLwXt9NAG&U&EwrA*j*p^!u;jo z0dNFM&f(*c%HH6#{e;5)DiVb3-xZjg76wh-^)p3bLC}Bv%~5G}ZRnA?aY7#H#k@I# zxZ5<)oF)E1U1qTsoZ2!M{74Axo1fS@aC|KU+AFLYZ=69q{TCOWr^ei+yJZK(%xzDr z!ek&_d>`}1St7&{lw2aelVDMFZ;J%-kHc}P|7zs%fB`gzJsl`0rs)H(zU>T6MEmyH z>_N({M_r+fmXv!7=?_$I=7k>c-wzUq=14;NoRP-@3CAOmANJAYtyzU`Fy<9mwJpF4GB(79U(k9|aOcZ$ za-_VYJEe|Rc;eS)yPYWcw0Qm+o-cyeDee!6`yb)@eq6tX?`PxtM|i#A^CP@Jx=^Se zbMu@#cul@*{et#wWJD5w#y%m!ki}TFI@Tvtp=B6FWa+sHZ z*GKCP6~Orn=eJ(H2ZLWLSpUU;RVqyc(^HOMe~>Bo4w{RmKATb0#E?(*QQ50n4r&zM zWO$vSX#9x?IL|J%Yu_@MAX9kyX3<$=`ebKt_T9YqlDH#ATWjx&qGcIPVYT{pljcx&ryd2l731E=#Hh4yNWi z0q3dm!B1-*aM;dS(C6QyylW8cU9um%){T5^@O}mFW8Q6J(>a0mM{xe)+?-mNq)UKT&pLXA+(RgR z58m%wXd9%a>$8Hwx2C64g1V|!rm!iw$&sIGgqTh$@Buv*{GP8!Jpf%B|f@Q{ta}X;vY+ zpEfq;Kyv{MYfh$O%ZW5p=e_jcwt|24b_G57e){;>ypu7YksE*O3l-?vH|!7D}_)=rk7E<&_XdWihddPz#JF8;H}Meoxix9F(>e(!poN&Bh6 z=-6nhm5vH{HXUuVj?h4U^BwnzvG$<4($oIZ%mMn#ZHA7@xxho;P&w%~Cm0LeyzhJs z8@Bg@V^%G<3k*k|aHAfz0$u(IdOpObdY0h+)534d0aL6rZ*xv-RVwBc)o>|u z)e3MQUOcxTRT7S@E28_IzrJ${kCKz*P(5AR)vBh1bWV%3?j#Q6uVNn}@M$c?1-1_R z-#?D}pp0|oJU>pmz?IL>m!4@NAKJ;NGV15HPO6y-4e4wk=9u>IJx0g?Sga*2H7qP zR)>icT(BsR7OJ-}1zD@>y0>LS!2aFgh%cBuWW3(xBZ_q0#N9-G)eF!HzKQ!8!r&T)pO`|4ZPk)P68K@FG4ArquWI%PLg;sTL} zw%a*qBOM)++(wa{8{EId$9&AoopMh8#65p-gqsXDoIEj6BMxwbUE2$Dc80U`&v=V9 zkw0H4-%*`AE|l{EL9bl}p z?93{!8yq?=yRY%J3k7%9ln+bYLq1P<9eJC&%8so$fyT%kmFfXkNg6#it|ntUqio_x7g9#?rRjKawikKxBo$S`hjCjr5f3GH}#g$H|(VIZq z@AYK`d12(M=g;l!E<)i=>6QiB4l@hDd6wW>uE3EWKJ*G&H5wFB_*sXulC!f^2R@uM&l3tV1)Se;-ap@WT5GV# z2CS;eKM94~!l~N!nkx?GK+9tJsQ8R2)Rfa5%E>OI^buY918)xL6Tng8g;gXix|e$> zsb!*wKDUj_JSHjVIcK%;1o?y&I1rk*&YB_rl9|#SZ=8)O{R-a4c$}S9^+7qgIDa+f zSISx;r8P#KpA<5_*niiP@UZ(>|_hlm%lENQ6U zxO+0o_r8`Z2*xB$&R=x_?x}Y*dT!Dn(ZySHm&y)WXG@pZSqM;}Vt0B!%F&G8v&}ym z?e~$F@|40C?7*$tcJ}r;PdL(B(UEt;1017g6lq9A@a~bb7evn^tb7OE!}6>t@9Sp$ zuA!^Dtl?GDd4p~0XpR-Pr}}0j^0#pmS0wEs0sqNimWm+~i2YvQnTq^4&CZ|FDphob z@qA|^4Sy26zng1+NektYFq(byeD4G$pCqYC9VECl^eie2`Otha7LgozgmR{&xSrC! z_$L?mQQ)lu`x1~J!^cpu=V}Nq1Hz3j(73?HH`m$hUC5uIHS|dP781y-?eQ{dbpw9; z0S^UvU+5BKm~^o~z7M1#o>t_a6!<55k6tOt4YD{nIC|3S0VpaFU#G*JxFim zM%}fxmQ94(Y7hS(3@5Nl8?}lTe8*&Z9!ZG?MHP-)VU#D*s++y^JH;lD8!LFU-qxXq0(j`p0 zhu0g550q}tYeTwkp3QWT9{=o%=Dc~mvF(dLgqs#~J7FlF=9}8ez2E>i9H6k0it=}b z4qDj8`FcU)Ex880On*?Zrdtb>C8FG$>cI;dzR>nmP{_;*{XNVz6>WWeD6f-BT9V-$ z4FZj#xKbJ}Z;+p`?%t$MglWF_-sAONF!@Ww_FD|{Ur>*zNN7a&Bckok{LwxOSLXY^ zpWZHT&Pl56teQXNoUq?caP_)O0C}H*j1VU;`0Dgqkb2AytT|r37of9)?KkZ?uC1E` zm-WY3BGUT~pMLr3$A~fb?O?yOv)2=P*KO_zpLdB&-#rw z`XouPUbtp=dIkAx`s`=yK)PHbQvl*%I_q(h7Uqu;aNTBi7w^_^Xzi)u67f`qKJCLAylY-iG#C5ZxYq-=mAj{_I#@y| z<{A>gg7j<3tG)tgf8Hf<>{h>A00kFV)7AMIKbwPmTy4#hQ3=>H*3dnJ^bGBm-6hY? zdco3(A)3qmt`uDQX142_(h3n04kwtOI*4+Vc?sp!Kad~#2gcDmIv!9~fUSC+AVKl; z@AF5veV|N!+Yz@LCSa%78=AM`jr^*vHI01q20Opa#;=htidS9S%~TI}II?q{^!tz} z(579hSDiq66@-Z&4f8%=ni7+Lamf$%P-*%v|3N>OA@and$#Cd>Q$x4SI}nUa{P!Qc z7Xm7CY3*W2kMF~o{A5}H$3@p8}{uksd1T;SD#m?~kAFzL#%DYALj zc}72I|Kv$7?w%A7ezIrEc*$#_I{M)5AhEYNuqp;eYEH$3Gkwb#_`dj`(>4 z_pdSTZRj~4#|_08Ns|l6kJ&ElS^Wwd5sVIxI+D@c1;?ECwChDhmn^;JkqIoxzuE0>KCQ)Boj%M`8nT3F)A`WNlbB?%Tp@ce|A# z>JyXH6}C%{IYKyX_%80>HZYcbD|YQI;``=br!Id*_cb@%Pcl0aD13(V+s$LaWd*&` z|Kh(ajO8ZX1e&MKkbE<%eBp7c#g1(?F5qZvV*Y@`oWh%j_T+?|to8<+XOB1KCbM1$ zrtoz3Ati!>71Hg-*P2@udQ*5;b?zjaaskpOQ(0FiTs4J*<-+E>M9L}r{NlJg8}n`t zpr7lS|2p6cIKSh(zoC3f#)rutm^fRutmgW`5NX%UALRSLeglY1W4`cfMEuOKUpb|Z zP>jAVakn-AB%?n2{b$eH;X|ScX6*@6;^E}qC?}lDao-`~drqKmPCDzOm@mYv`4>Ji z7nGZxq<@6+MfNo?xwxbK?~hNeF)yM$JHOy!{{l2e_F86p5%}5xjM+`DTOr(Fan5`} zM*5BOd|%FeM9*`n8z;lHZKW|%=N(!1iy9asQ=B@jFcT2N4L%!L5+HTyN$xVEIUM>C z;zs*}0Q;w!=m$A1DSgM)i6^X6-BxgI+3kYw13$|5@ACXidjH%7E|%PL$lRHR*^pK* z9-T1(?A3z`a=SI;M{>ExqI|IpQPQW+#b%&AW_Zwp-2|3?Mvk29)yCF8EOs{9abq9p zBpEKgGlSz+4AiXGkgk01^JDSLrV!x#X4G?15)&d$tnPj00^h=?nF#1!yS!4jlSSSQ z-fgwA*u&uti5$i$pC$g;FYjz_^k;38f=i>_rKQpLJ1pK?1gy%M!)^NT^4>)>mpjz4 zmg40JRjJ=ktG%=UUa8KP7@s{0tAMxB{=^7`|eS#>uIm8;P#mb!uj9!@Yepyi79G*AV#WHiZ@uo zg|F(jo7V{N#?U{%Pu2x$E?=2lK=!x{#Z$35lENDYz#X-6&bz1O{p#0fH*BdV0m`w34F+=*k%R3S! z)v&_M-b~Y38&K?>5B2%(3F-B+MCnF!4^a?zv-YqPMNgyQ?Jtswe5oy&Lyf$)dO|b&-MxMhZCf} zG4^<8>qdFqP6#BaiUz?g{dV0zG|w^|bG0n*F@^52Te>}6R&aNgJ>UD4IS6iUvlBXT z0IpcH7U&|qkAqQ@$i!h+@MW;{zOUdzIVZEbY|VG{k|1w*!+`rd@{tVq{qR7aFR)LS zHg}_YSScgT>wCj3U`>Yl_XN@nVSm z011co+cJfLFsGXm=@RP)lGju2*P=XwDn&i*TI5@`aj!Qhi{uMjO|80TKl;HAqb%bs zD2LZgK*u5Ji668%M^tS7;tdVarM2Nz5kO`reRtD31k&Mqa=C{#s0qI;h(moEd1uqN zt#ky~*?EB2*J23tc`STyy1apU#AL6?P$+aY-1eDdM!B+oaUqZDsFBT#J;=q_->SGO zi}E`5dPT63;B)r5>S*L!z!b5kfqj!31(*8wjtNi6B0uzr?NM6Bez5d4+2%5B2n7CY zNytt@^H-9t!M&$MIC-yhi@tz2Jnl$cL+%-nx?`(@#7z>I?l}EM0L}H3=Mpnke%V3d z@oc>`6A!Rvry5SkMEmjwPK&lhd4T`snQFn^ULaEFYQ-RqaJM!75B)LZZ?|}5t`p_J zY@(BM{o;#!xAZyNt-6Asi}AtGbJVA4eR_Ic?{xs2y1rQJKV%Ih1#M0j>>YuR`$nY< z@*Tm?$$Q=Qs4r;#SKQh3P#@hRd0nk@wYrV`mWO!gR>qy7e5PjkM2a)u=Q}3i*?|-9 zQ692l^vP3|KA;zvl)B_dhD3{3&yIw7!<`{r`}98q(3gl%as1>1x^h+PG3Xu@$DRHr z%X&YwM~K(a=<5S_qR{=*S9FrEMtH#TxbtfHAxAiJ_^S=gB9W3$i|4Q5`69S~Htr9J z`yb)@eq6tX?`PxtNBI33K0m_yqnap}PqtWMI3D9T`~ENf;`nN>8$ZT8szu=eoELDuJ0Vt;yz|mg!1-a@ zrDJO;Xg*uBFK_T|n;Dca4>e8QkOSMstr3=GLJ&B<{-?qe5zzvH~$FG81Iu#EZurgf$GGPLKr zlYOy~9`*UJBV1e$dcxRf*hhi&B1#|e(n-R*W|9ny{eyD`D3|E-WlqV*F^ET*`(-X< zqyBowqt-@UXL$cLLWMsa^<}@MW`Z_bQ2G_Tk0F*GQt(H-jPqBjU~jw`(({zx@F7T_ z38VBqc)xRUZ}LFKXJ_E=>5%#nl^zWL9Vhw`1b_@m^u$^ ztzbBbnXsjH==oa$er`67xc1NQMbEt>JRg|QywD%r-OYdWfV}H6={c6>*!lk>>%HT# z?%(%uNp?gfO)I-1l9F*|WM}VnUG})_y+>Io83|>NB9xSd`Km}(Mr9;3(Lj+<*6;cK z{JgIBxs4$8kQ-aU4hO)>w9=VgjX$$_fm~r)$gS688n)z3YCP;-nqf z*J<~07V$So&(YSE$$c8>8SHgZ>K%}^g|;xIichHD^(Q(z>-TAQxSCLwVf)Ai?jCy1 zFo)*Pchp*{qEXxm*ob7vAYCunRHg67+t8h%@w?WOH_+b0*1d6hO`MI`DhX0*ZHxf* zAyf>MHg@gzfUr~->BLkMvxH5LP$UC3Ye+{TK@XWSD$?w2}2gM5Z6gnTbm3^@P?oMy_)^?*Z-hgyfy(0pY7 z=aezjuUjqDx}9F-2n)1^?|Q#m!B=yx?z89)9FLO?eOvRASUc#kba*x+NdmUit1T1g z=h1#NoYrK6=4sdZ4}SP&0KZH*KVA6b0bEVBF&ym|p}armZ~Jyf2pEg+`08j!jw@>~ zI?X3Zeo(keX)zAnt!;~mWAFdy2uieJ!IzPb39EQ&LdhK3(-QR{NPIy0q%4_IqdQ3; zzPgxv9o0Me|6Z2$eRGFHRMgDAH(en8rMH8aqaRSX>Brl%djq$giYKl2Iq;OI>Ce`7 zf}ukq&%QR>!W*^fJ-mkuz}q{<(81mTGz$Jj-Q4E`A~8YI1upJnTzJiLASofp5Eyr! ze57_)80x~+6;7bNm5)2)cG)JOy3Y>2WAKSf||Ko-F!L- zuZS{Dk|Rb)_ns+)x!W3yZauvS@<@N-3-r~CZ$}+rTr)z)vXKY`Np;op zG{~2E`~FX}rmm0_+j#5QO-~5lAzQUu8~HeLxbptUbBBYx)?=q!?BRya^5i}=H>V9? zrfp1iCdY~9gACQ0AKpNk{Bh52)d7Cm&eHuu`$fl(v1Od8ast!CawqEM(Vg*Dd>^)= z6ZDz41&1;%33helYqdAC%jv8eM2@y)-9-9Be=Z*Eev@nsR3DBxi=+JvQoQo61ZEd9 z?tEmN>bK>zCFjvYz3aEH9=3t@snpcTYYyNUy&6UT&<;NNhuY_UApxGJc-|h^@?XRK zMR5IWTptqGKO*Pb*8Lj3pN;Py;qx`Te}vaZ(Ff!NT@BsId5h;Uo=nx^WTk$C{;1)T4uPM!+c_8Q3iVAEbv!gk*Q zTIp*jQ=X6*uyWbL_^^;X9##T<-;^& z0&T4CdZ)%+U~h(wq8+*m#_JWlj*-w7**Mv63pjr%ZZFEU?y-aXh}08OUcThI2d{Tl z-Rob|q!8iRS3;o!+RxcvJV?5ro<8|ss>>)ihx#b3t2nIKKo4(B% zz&m6jUSJ|<$O?sRNx8{PYLQ2t`U^Ct2r+_O^L@Uc- z{GM>&Y6GD`ITWUjR7~kc`oQxZ`a;tlKTsu{iM|rz53)%~DHACX@P2NkBag}xPVbjH zpeEr226V*Ww@Df5fRm{{lx(eF&GD3Q*N#mL$8t4Igo z=4+otUTI$l{&137`x(*=Kaend#gza8b{K(w#v+5h$av?l0J&Kz$> zbJVr?PdRnW7eMsnIg47iV0g^IIy+M33HFD7(2#((J1J@q#d?1663&01Qa+8_;S zr+oNSMob}mBM77FwuMjq-2KV({_tg|jKJy;;>pQ7vdzdZY~smtL#MNsu;_`!*qjMx zz~e@8hppB=6CxNtl^4hewSy9SEG`Y{_n8(yWTUBd!E75OP0!5U#4@?EuU=}<1>6T* zovvp84w5Hax?m^rj0f!(Z~4`_-DzQ)av*`BbCjhR(o289c`7J5A{Y!C#AjCPf?;9b zw_7&SB(&G9qI%{#()ry^v-65_Bs|8}E1!N22HMw(XADq3Xj37)T4lbSrx?{TE! z!h?&x;2$+;;lX49$NbYNM#F<(PE_stK(HVA>mFaI>Zrd)0H*lAqaRoNU_i8R%^c|m zh)HI?X$y{m#qu@lz_Ku~*Uw%SaE(HHxXnL|s*s{YD8q^2biW7e7 z6LFzGOt68;k#vLY|6WvW}R3L44#T%yP^N{Ab-TI`dJeE`ZeUNa0785BX z)JKUBpuM0@RS5Z{@U>jh%l1b6EVI1)c1j0M9J;@cr{4s6KNz>~D7AsxC1bwLJqmFD zS(W{7)OV_7s2EaR^?_->aa)ln5Ac7}D)39*og635cGXuzq9Q@Cd3Zv+7ww0I+jr;e zc7+?2x2%5WdxCyVyMO&N4|06xjqbDwwf6yMm(yiUYnsq?!s_wqc_R={W!tmd?*Kc) zL?ZLPUjX^6&1+t2NWXmc#7>Fc|KQGsz1;S{d)3K#v@WFXRK$hye#OiD5xX;(hI$!H z(|7_Q-h@uC(F^cA#q$==Q`|QZ_ZPu+?{QsMJm2v9e*Eqf-_OSP2JyK#-ao?MHF)0Q zd5q^1o~P*+wVo4b|M0)_8OJ{y7w>f>wYZ{wtQw<)cIjg+GHy&{Stj(NdFe~PlIbh; zVL)^|zu+I~N5-Ax9vV%Zx=2_Tiub%#dzp;KIL_kui{oonsCr>AngiiHfb#;*cL@|> z0e)!ig!6;k>OV0<9#i-ig>-j|FGzjN zMt4|L@nZf~7G&Pk<4E9#G339w#j^@mKM^=*(BAA8Pj?b1nO&@qZ+b$m#UQ%N#Cf-O zV{W8|!UeX`KYLc(ihRwgxU_6zO3D0u`&6s=<_CLV$d^_YLw!!1-*MhQ-9TsN66pc0 z0hCmOV*k(ohjSl?yc?{`hs3e=qq)_6K3c`>5^^08C)dNAzGMz6f4*TXXwT)++q>LD zPqg7n^s%o2k2N9b>&P{R-I_4y{-cVKUKczHgYLC2$dKz5ypBnod{mJdV+=Td#n)vE zuB4E_Kj8bw^JS!$y;b+%^-gSLFrVr)>X(S#D*IIA08A7#MkVMy&-s8ZBsj+&PFAm4 zHQqqF+^W?adkQ>&L!>e0|LK^ih49M|e61nl!cBE^b=0pK*6}!T+a4aq6!F}11uXN6 z^k-hK6HwPhsyvN!8&q75hBcTwfZCC>bLWr_FNv91%oOdd|2eYyBnS0NDE{wbC49fD zw8ST4FDUlA$kCVYK>obGchhDl(p4?z+9u{L|bUu_=F z?i4QwRjIogQsf8P*_k@CwCElvhW1qViZl39%q!?dxdL$PGAg1_8%jt%nalE1I> zUf<(xnxcN;>!m&sqz^}J>HaAN=}CWhGj6W<+Y7k8s}{wMyTBa^cQ0$?*VQ$4d^%ad z99X^-tb6^i0d<=eyUj2n+}q8VF7e3>hP|E%QO*<4ymj)gQN0(mU1M>OX7U2BD-L%E zZ#>C=ZjOIelLD7Jq-K2aPdi`_VSY0eV@N+xIrNE-OBCv37>fQiEAH^c?l~WyraSUUKSTI<1I^v7=;lXEoIyI;@`YxtBV24rAN1k#232LLf;lu7 zd8Q?*_@@&2Q2bpzwRkrIOWZK{-7Vk@c-#!lxBcR@b_eZ+mKPImTtI8B+hdm@`hBLh zb`d;GG20*O^?Qoau)O6`yB$dXI`BYm1mmnHnlF4K4r_YA+n1}7QyfU2?{@zmA5A+L zc`B`9_|6@q>EcWGTY5p>^pDTl8ouzWn9hUf>jS|Iv3oyTd%~IdzkKn&UdRWv^1F4d zKa}rRE>qz1gRDn$&q@ni;eC1hjr}A)a=nD>)v+bF4lGpqA)oBbmzy+!@Me%stw9LA zo1ETK?~nC@p@*~E?j!wEvr)JB8Ke{1KEfx&(~o|SQ%Ld|^?4`vCk*W@^Mlot8J|?5 zFZt^%jwBtrfbPhsrBm7B4*9@T;oni?5B?C!nWx%}1w)gCZO+*lf1p(B6RaE!1S*Z_ zvu?+c&h;Vc0S#1t-#hN4cR|aI94B`cwsT&+C=ag%&OEb>_k;%X^N)uglOWSg`k;oq z45)r@RDLIl>gx9UE6iwqE2c^~nNz|G-E3A*-!nNtnXgQ)VFsFCZ^ab__pGuqsyj)< zuQzx}mT>gDrh|r|0Z=WN0$ZU5uo|)H@3}yNoN(+N5yhj3mOjfhRU0TXd)V7sMnd!1 z&!e^(?jS1r<*Uygdtldce$MgU8-l}luu=zqU{7JL^HUbaZfjECQjkFN*L=;BEy!0* z$LoTMz_<};hb*#Wb?T%3S^S^%7}OuTa_FZP+IPZn!T;mM>MRK{XnibcO=nDnX%E&F z9T7(JUV5<&%VSo+le_1jPM#4Nm+~@1i{ELJ;1}oqu~9Ui+fy>pwlfpm11i;c=iEd3 zVM+Ur2N$Aviy59PNB#yjx-qt~`a1A%_(}w~nH@;}8Zy+JLi0z-vc-OF8&IYEc!!Z- z3iO1^rPzmta3tQ9IDm9CIw-;oLd?*9SngT($Mueo%_mmBSmO=^Z6ifiwCDEDMUw4| z1F9oE|9)kh@d6hvT>~!kZZPfspnN*j3rY&-jy$-A^w?TlNW6$o4!$a5@0E8Y$4PCR z9Ffo*3{Do2Ib1{!ApCWU6{~Q7$-5Nt@9ua&ns$)644nr#zAxog@I<1xSFo*W*S92q zg;dmEe>>z?q>wAQUhN8^t>=OwrA?v4qVbg>586|kW^(5nM?RcexbtDo$LF&n@`c{Y zqsx1Rt}8#VhaetVDZ}eXS9Z7j`zV4NxEZkS3byqo=P91Ic%I_^w7CBo?k|GtXXE*X z>mT9w{rLSFzMqZnAK~*gynlq(M|d9N`Gn``b&;E=R;1kEzw;T#KO7e`qy1)_2T8Ez zwP+ddU`@u2gpi!TyGEW6ty~>mG3F2H7e{QC{&|pbCvCLu?zLrq&?(EjHUBS&jK?_6 z;`oc>EB}uskytldG7sRqfb(77UK@MyCK8z+JohSw@NwBgmrF+0C$v|a(n8^$6W|Y8 z)h$x*gMHxO0kmX0<_^i_D>H*gKUC%!g_sa}CqAI*H{Oo)i*P=}`7LK~xsTFL<$w6k z=8*l6S0nPB^!SlbcElT~c@lH$TpdAuwx`o7h(PAe#V-b}(oY=$=UL|u5h*fAXCLQj zfw<(I>K-oO7W((!>H}{w@2cM`Biw!G0XzZCqSMG<%}sy$>@(pKGC#9OD~wz*a|Qjk z(PoiFNN0VE-*Mi58Fw@^9R0lV&jf-7z!Nep?$zw*^MZTc?81YIZg8Kl`(Av*T@0@y z0tA73*B3SP&YHs&tmM!bjfSF1iYDZuOv(RZ_67~Jq7*FAW>lNq{rjri9H%(BnjNLu+U zS1zY-$1;8rqc?Z4_{Ct1HQU(PL|@W_VDSuhr6vjZd)b&&zbOli3f_GRrLLGJL0nzf zKo?`uq#JYV*2dKJWeLfG)(-Vk(5&CH*uiSZo|h+hBe3k^}1 zPT#WC0@4!2m`vw??%IwkivD_ve32+#K9$wFfOLlb?_(ugSt}Sz?-2&S-hf(Lm3+)v zj3QUm#R=xOZ;Wj6*g+iqi_mdf39$bZcCq~&5o+l9Y=gC(VQ~BxYw_POQ08Z=;qHwC z)1t9JUy-o?=R-VWY#sqLX?p{e;v&IA<_^V2wJWeEJP_?VdqdlB=k@6uwlJ9A>4Q> znj|r02;6m^%@dhKVAeI8_=@&0DDMB!ixDG$?sn>Oc^OaeI?Vu6GbY%@pq{IO&ktes zhYN-L(unX!yf^*1NF-=Z(C8_+I6`tnj)|waBAkzoy|-QJI+jP`I~G;r3V7VOHJ+~= zrjW+is7UMIKiR<3*cBn$Ul$R0%88U zx0?)u2e7yLvUi$AA|0T^Kjqc`$o+6r!9Fd!fdXqt9xZLm{d=y=m89)Qj?_wXo)r3`5MlNkc|*F}|6PSQR(g$3sLXvS59!SkoDk`mfuKsKD)ld1R` zJO=ZD2b?kReJ@SgbF*uZEWX0?k4qQqZt;)~@oQr8MbYD`$Bf8v5}h|C$d%@fRYra< zVEN?>F0B>+nhNz`q%q?4Ki=pu56U{7yqmwUxCZ&D{m!_cUY1SIpt(`}2b=qO{ojpt?no6%iADLXu0jQ-I6M zChM_g#@O?>b>IB$wcvS|cys<)El|~de{Vw81c-)Z_diS6VwE;4Lm1H>JAG$c;>%Jo z49A7JwiqFicSOupr}SabBw$($k}lI9k7Hu&=WG7d=wsqDw0oAnOObIY|I{Y&>s=Et zYi# zkAOwC=o%{iat7`BJ@j0SELg%nt%3_h(wO}C$~&iA53K!zQp?VBHdyt*e6euIdCXhf zNYKvJ5XL1bK=-o_CdzZ=h@yDcHV^tR3L6!L`>qUhR-bjC3& zs*g2DUmVX3MDGmd{aE($OFd1N?e1rl;tshuMy88<4FSY_%5ePDa^4mo$> z7|^17>B)61f{Z&GE|r&Cc3g!^Tv&83Uozl$jN>ehzc{`ULdP7nLVU}5L@|1o z`OPjWp6obB=1ul^t{!$nQw-%#dv zvy2VtEwpFuFDE*~=I=-rx|WAzevT!oMC~oLf=SP9MAktg!1*2L{ehV=nrIbwVBL2o z;=8gHh&<_h2Ia2s^i7Sfa1IwH%6rACV8=sp9q}@$!n#7;q?k$$AlC23h1%OU^suNCqA-d zsz-YK+9$XVm1&ae9=zUp^y)~Wr>Gs+3ARi%qdggAS0QCfF&79LdSYj=-wF1fyR&|I z68Sob#~hmV@PNBi0agyV$S>>#GnhtKkX z{E_x@pg_NC+cRk!;62a2^bpY9^kREe&eCo*yQ6(pi@0q{3j>C*T~R8N7Tqt?dvP+IIphp)|9q`q;&z4N_`j$8 zYn_olB~AW3(qFLBy0K3^kpy+294t;dn*d$Y)t!`RFOw=wZf54Q8$6Zz!ZSnb3>+R}S4*?3VTr0-hS|>w z>eiS1bYyJdv$GsmsVCZ(C}!eM!>oY*bbCBooDIbIuh&|mK9C9P-UL}LH;|Ar36663 z&t7}mYuz@R5OiPYESN<3#Rjh5e>zTRae%k9A7ccBaDc4a#g*tgYCY# z-Pwa^&+YJg8KSB)^hdA}%6&~i>amyUSq>MtNPN9=T>$elozH)P~lg2(@Cty!bx=6A_eyG1nyA-Khq2go2+JLk@RM%lY zrqWy>vTZ+~*ijO2oRQvcf%a#g#hhAWLB1$8EyfY9BzIU|_Pg~_#sz5K53%Sqk|2v{ zhw0w*fQte$ReM@U$ScZJZ4s@=~AwSMq z%Gm*FbjKi}!q(_|*&VDMsrEN+NB$k_%Y-g{7kIxed&&2-CvZ1B*a$=a#J_IWMn`HhohdK@CJ((ue;so{d#Nqr^RpudVd9tH#y9rJ(!)Dc{AwF z-@vx-Jo+sH% zsQ;|*>aHh?>h`4XOO<_x{J~at;+OUAj>g;<|0V?xKKuzgsyo+60KOQ%S994q;H1JD zyYRsrTDT7RSt)pew7jm46Q3s;7p4n6hri^j0}~}spMP@O(<47Oh3wxGazv<` zZk&=@BtnUvHBVrw3#8b*zhjk)`brOuU)lGU1ZLv5T9k@Cp*`lQn_3CF*V(aq*?kG= z3X8lO6h=B?f&(rB<;kcYT3%S8_6*&{oXHKjIBo}1CpL^uB7JN;PM*B?9lvVm0~~V} zK^#bjY%TTluY|wWa8~D4rtAr4IAa#W8;|yo@%VP>KXkrh$Qj1pZTm8V^j@wkpKVG* zzQPA3Dt_I!LUZ?(U?mxJFL$W&Q4$*k(x=d?$zt5?M8+My2T|GeKhQgJD~}Fd>sY8t zw1e1#o!&twNWlHrx^EHrC~a#H>NTuK@0hJT#q$==Q=J9wZNumeCS3UaPaXwhvL7_= zzlP@~KV(!?8SE{!gNllYBaiqj zq3ivjypKli@G-mNvBDE)cp#a#?1S#}_9pv0UEGK6Z|$16r>K#C(QPyPQA!swpW*yQ zkc@w3GpF!B{8y*jYubqRjwRfut=r^0;Encu9|i}M->v7lp9oo!d2_!0f|x-&n!9fC z?7leT6b%&5I8XatZwaDCeQQU8r}m+K4>Ip|PAdCka-h2A^mV-fK6Gc^JHd9Bxq!^i ze}{%ijMtn%E^+RF7`l(Z`5otdoBCp|d^8^@^c#}tmvDz3hd;vX=I&t2>yhOC$`#~; zy2{{NK8Dv3QtMU+HBNd!am$|iR52%5q@O!{8u>U%m(d=imUe*I4edd5bmva{?UI;% zqa*Ar`XMteX-uwH@H)ottJy}HJ@OUY;;(OdU&ilbBK#+Lm2lVjlItG4-U$miS(DyJ zfOFr*@`LSdL82=>udl}*zJBECahbP+_PjF3FZ{@NgudNIi^dslihmX108?03x=ka! zj(o#~`bQRS*g&;h(5@-ecN9*@io*hBux>}LFj-b{EHUHlx{rV%?D9T;>CSN?d|iZ}CP&mqo7v3cep~*Zy`^fEdgArlL~#GzvyXi?X}X-j04|W$86pu;gMm z%j07OTo>2~46UdxAtvOrOe5V(YT<15XykL+8maoq5&5*Nc_-!u+QIFRm)Go&4xK>3 zX!vJMYq;=hjhO}QdGBshiZtL;BiBh~7pNWIAw9=-pFbC)#d>bdQ+64*t{wv+vFc zJEhQ`%b7<*ZtpFi$cn{~8u_m`-`l_IYVCjiK4=uU7v3A&K~8;K{FNHyYdh22e+}*V zbN?}5Jfv#{C0dlRIp|)eFKO=g@^|D5$fr^j=8o>b)+AE}k^Ve0?e3iNW7@D!r*P~| zlRbQUJ|87tM}RB7-Zy#gS|k5QpNtixlbXGr7)@NV0g~oFzmCa3%*CzyD&qxnz~e?# zV87srK4(ZWdGaa)`F{_+Iv5p!>M+c=y}YJC3Trjok-Ty@2}?V6z=2oI9t`ha*w=H< z1Ug@5X*Xt@gYU2ON{^3-k9pJWr25faPc+9XUo(5)P-lHNSy-);xVK0XZl zksi$lRAlZ&tw^!HJ=X!J_a7Vy42zQ=(3K^=T~ z^g=VzO`YRBK2j6y2`|$((0@$=9Cv57J4U@ncMtrP44dLfE->@bFxJ$-9wbITaqhh4 z2t&+zJ=$oFu5vhwPOKcgBewARhtqEx0_sQ6Mo%0^1KdJk;apPgZ} z2A<0&Lv`h?z~C-%^9-t&-UfHZo)xx-k+zf9%GS^v&v3iQh1cE?8O<4FzkgG1HRAh$ z+7Jg28Bl$6eV-jH2T2)p9woreUf$)^F2twxX+JBFUM1TL>KD3yoXEKFv%ljkZ@U5r z1`tatN(WD!*zlg{utueMz+nkI`O3LMH4-h^%1zMbv+v5g}+)0yi z=Uw2y@I!(*I{|{J56d|#+rpX=A@?@gpVvFbrldch1Ohi^U!Otyo(m>L=UdSJx324* z6(BkQdudij+cyi~NUzwYi1riud`yyhUpPP}-|HvJcN}0%q{=OYHviFlj;_FZ1kk+W;(qCUF2Y-&sq+OUAe zJO;U9v=55M3Gv*6x#Dbex9=A|mx+87>j(0!xiUy7OcCjjHYd?A^xDC7 zu^81*UG)3k!X58|WHZSrBE;s3etL)MK^%{9oW=1M$Jf_wDnlF7I%FQec>(7;>1MgS zzexWL=ZDr8YT?Z1knTt1xrbfbk$MRJ-j0z)D8A5_D9Xd z*+S;wNQ(Ja8f4yNlzl(M{lo!qo;8kOt{hA7`VUVpvld4pJ&OQuyNFBtXfJk)cmI@h z*7!bhfB~-K`qwD6AQ~IcDf^L6=4YKAl4y>r9YAxHxS=NraDK;me=L0OQDqu8$f7C} zD<5-#aH*&LW@u06!E?_x!aNB~PFBr`@Dz~i2oJZVH@*qTA2D-vmGhe&Fk5%AHceW= zy)VYx0!Xj!d}zh0eTN=go_|<1fWBXK%|e-%C(s?^R=tAPF@f^@k_(*9fb-XhV}E{x zAbpMb{_(NzDvGONPZf<|OZbQ7<@5YO zek-ywH3zIn&=$~2$*E@z{`7K;=fce3#m(NQ6+uK8U>u6?S+N1aJcHf4^XIX+-;KfZ z+t0vt6M9ajQsmRwyB75kxQnaK8)i*Y|E_O(foXy7^FN!&7d8CC zat@luY~;^Hn@D)V4^C63xB^G`C#LB5>o2-zwzGbzeA5u*lat)Xs+Gv!*Wl9QCxUCv z@YH3D-V61+XgQA+#Wg#^A(?;u8@s(>kZ=3a;4KG8mhw?NoM8)Nr464OD2+jD)n%jpbWkdW-oqlf0V6#w_J z5^gu&meNq`0Tr!b^9>%TkEW22SBm_5*QUjU-lM*rSf_Z zK5h_AaM=8R@sL>NTV3|f2&x#oo%isfJC`MjzN?x@A7ixWN_2z|NPM{emTkxroJtBx zFPyfAI$^(qmsldPdpCBywY}j2c--&^x&>R_aD~mm@RvJL-}Nr7=~UNmCzzUimY{gb z607~L?^HUShH;e*wt6`sAF9!WeFwgK153uoYku31Psn*j@mV@Qc$k!>VL)vS4p-XQ zod(=Mk*K77C(9eUei5(n{PG9Zn8OtsPJUn+X~;wsjeKsI+H=Fhy&)mv+v{g3Xz!8j z_~GtEf3Vq29FIbNrTE?gzUPViWu~fjmSuMOL$hLQQiekiq|sf-$-PGU&%5;6rKc6> zKJ6@r;E9J%J>d~4#_2Sr4}@Jj$*9-k2z!23R&e+G!^^;D3x$k+HRI@>%`U}wGQC;VP;%=2I;RIBK;0eHi5>!W_M`OJ{q_A@vk)BkY47#Z8sWjSVMY@ z>*%Fk4+t48tlJUm3wL`4S|fNAFyTZ>&ovrb*!QNA`&*ke&<1CDG2F0(ZS~V7(WR&0 ztyln4vXl+Lhvee*WEV0n6zeuvowzTGvFmM8aTf`;Cq4$QvCbnu64E%OMS&*V+cUz$jq23L z#v-5nklwGdjcS4js^6rYq8oFS2Vhm326Cs@T?d-fOk zSPG{pst)@#kNBpjnXa_M;zqz*_b%CJya0?$t(*AEN%-a2T$IpoJ9IfTe$PFL+$l>219Zl>D^SWz9wx8<-N{h zl$TtfJ@QquudExyvK1f69q}UPDW11@p3+c_r7u}p0po+7`T%w{$mLb)*L>y+JFXl0 zQKCN=&o|tE4fhwp^|Nt(NL>F2zwgKI*YLc>^BAA6;r%1LKKk!`#_`Q;t`i zf#h}2@~IJlj2nYgrMoB4aQy`Pb6dFvnSIJ!_k-c~?V`?|j1go! z#&H(MUmRZ_q?xt$oVO$M0L}|I-^ErcZWHT3?K^A3Kok+(cSLgjrj*< znnCdKZ~TJ6PJb{Ah)tjJNBVB{jfQE2-56g!C&zZ?u`h25T_KBXplAPx>cdD{c%^?0Lt1uA=w- ziM-sZLmK3I1+QcBjTWUcklrKCU%Q?pOLyjbLo18d=hy)+a@~X1JCr^W2bYJ?-E5e` z^?q%1_b{cf>&A5l7)>h*IlOEI)Y~ZXcA$6B#b0!J8>k-r!hLtGyb0+oa)>LH-#3|9 z_`!f^Cvh}qX%GJ3brAKx|Cl(RIcN(P*jQF;gxp|3v0SAQ-Q^}@recI<V??LJ zTp@BI)0OkK5d?~}alW&XCx2hP3;8ots7~&bFgsG5=M4Vu9Xaz*M`8S2vdG&YA4m>V zf3pwuaayGR4N*;^Iqt7*?}LzD)01W^?*e&i*!?&+cRa1BbT-5RFA0Ti_RHA7nFl$v=pF};n-ga&`ufm) z?eoVuC7N?2h!-s$NVaeVMtZAfdS7fXsTuQLhPe!EbyE157kZaJ+xuGX(Yy}~yUX-+ zBi)}H83z4sa{-Wgo3)b>`NC9O%Psvnh2|&Nt+DP-U$E&32=4kF1PruSf&}>j;lnv< zVi)Q^_iEZ$F>|0jH+vN+3+ixaRQdM%XGb6`l^4Y2BK<~uPaD5$JK**`G$#u2%T|4K zV+bey<0PPFnbGV#6xoY;TUJxZ3Uq4#x4MKTgfn#-kP+4)Tl(54E3W_;1 zsSJZ)DUdWb$QeNXy1=^CZ5I)rvHxDU*@gD+@cpN25i)ZWa*^P3&L(Mq5CV-Ztl5>; z5fJ!zm`7vX0rrd1FKk!Uf&2Ym(@vdnC&!6%#bBr32rH&x_GnFW&J&W;f0tefb^+fm zGxL!oS*+iuCfb`1EEm~r58cFqnh*QrFt)fO=jqjKfQ{O8MdXb(Ij&51nw_jh zd->zKfT@xfImyn`K-)RdfnySei=;tkFtt)g&^o6y2cTVh zoV5D(YIESen^w$<5#W^q)wAU~A~Zm!T*;^u6lxJn-z3|D+}lx=P7}00`ua;ipSdH< zUr|2a z6Mvv_sin6@zQEyrW($DyJbc&HlS^xm-d1KN{d`=5!G)oZw|+Ccz~+dV#OEqKEU%7&s#iCNen`-U!nU+ z)-avEmI#1R54)FqJCM%DR=(kW)3~1^?iYmX;p2L*xSkoV*Ma9Pp2v7T z;dzSpga139as0z^kty+oUTeP#RPJ$`SVR3G95>F??A808``Pq#&H(MUmRbTlONTct#Kgp0L}|I-!)v{E2t3VMdk`sL#U8?>&F?E$UOeiBd1~4uwDahVwf<2ExCMp4bipZ{TuatMw1_0jhpewnJT! zK>Fxb_S-vv%x5^iJvc8Q`Os1EfB5efi08I}J4o%|daa3k#i?%6h17_-!9eKDv$N$E zWZpcRt@2^FfIZ+md+K0jpz?|*nWu-2d(zPoT;XK?;Gqm*Uo!7nJ5Xn1B3>|S9dse( zDbnqfxe>mjwT#Tq>i&~=i4>^M!krU8hVDIae#d#gvP9{V>280JW{z7puk8g9<`cHY z4}BrB{qmHbqz4E;U;ncGR2hcX5u*XMx8EXN-Hc*E5W8y&S>ffPQNw1i7hS5J>#~Ad zl10HzV#dHZcTe#(@)OXp3cby+UyWR^;B`!E6()&3#3xX23Sva=Fxz1TA4-T0Btx zejX_xG&2$)_i9t9P>wG=D0aEBJdOMrBvK9tF8V`_a$f5;8?=vKPuCrN)f+_hRdv4G z`atT@%XQo%!4M+XeI@#{FHBy$&DR|t43~o&mR$>xPxJqMtb|`0yZic9Q4rYp7||>Y z2a!K-A6HV6ekKTd)-(eI1>La2!yl537Xu-g!lm*|ei+)Kn0e|OKY-PpKy7Au#x$m!sh1fFXgrwzH0o-|kVMDD^)NE;+p3?J8p9a<@ruZ#&G zZ7#d*HLWA$8!iMl_}Rd_7x5|B9&1>@j#d1&(f|YL*y~{||Ix*KaQx00J5L|@eeB9X zOLS+-81Z9HSZ+z~{@Eg(*P-U%_u9SNFWwAJtx{eSSq%h}H}v8=Gf{s;F@CzZ$r2)N zUL_plH-RSwoc9=45YIbz+-IEE1Lajsekofs=-IyX^5GHWyDr}qCh`40I^c)-eje4k z90*xEzs7SB{o#WOZQ85)Ao!IVm!aVn2%mH&PSktY!2>6zKey0bQ+Y|jL|s1e>-)DS zbH{C4Fzo#&8ui;3esk;yI{(fIlz3MiRM8%Um~3%N>Vzr8nKC|-z7z<8CnIw{enNcb z_F^^&>ALh@I(b7Ky*u%^q4#ExzWgi@_TJa7@%cu8R+;Y|$rn+-G&n!9&CUaS!W#^% z_d8&Fgt^)3eGK4dhCXdhU?|j)^c34kAwY~N*Am}piuB&b`B^KiVEbS^wsO=0d{m6a z_6!?B4%_jeAMf=+Eh8dla02;s92zr!5q;FPb2qW!n9x19y*%ZAW9 zaQ?mXk{$W(55E&Wte3}A^%lJcw)$;2o`yXAC?JLQaPYkbfyRrY)Zq@mCpD3(oI?N> z>3AoGHWm0T;2AcOKm-ObM-5&}m}c*mobRzEf8Dc_pK8A#zvMLQZr&4t=gIr@udgOy zqpB^c z-|2CzQqu_5qNSIU#mte;{Jk^vAs4_z*D`5fNgN6oZ#eLT7$UvbTXZYg0PFW63I$&w zT>#hjEO}4W$#GSpCU4^PHwZS5r9{-O>BG|?n*@DlU9fy6+Gs$f2Fd^a1dq<6JNH`e zAwF?KQ2Tauwq(`>tUU{^JVWzc`j$-kD`@`w;nW(K`~2!$>hw|pSiCgGWO9n#sA)QlU9Kz#Aw z2lc(GK)AH)c?S{IdDmqVAE?!-gTVIM)+$YJ(7OLwcv?ouZIpouAq&=Ugg5mlL!{woe zrZ80eoj`kA3Kq?88(GC3A;*cXT`Fnrr7C8kwfadY+7dqNKHbJz%a6T0Sn{F$GSUYr zRyj~1EM6*f)d%?}Dc{3< z2tZdqrg>JLK*pUag{$wbAzd~+j~=JJraf$B26@Uowu@%SSItzek#S82?Wvz`y6AxP zMYi%3&s#iC&7>BxM9ztWq~{7L_{~MA9aekT#BL3FGka-Y+AAUb*Z)7?zI-biWTm$y z`*Y*|Yq-A%uAhzTL*n{Jc;4doYxsUPo~QVH?Z5LG$3Gkwx49fXQ0Yy8>?c>ndpWeo zxS_H+{2;0t>8>qC@%x=aeHD(n-DMg^WZZez@VGwqq7^KKZsa_uLwK@<$2iX7_>1Ff z*}PFx@Xym2&I33v;C#1qe|zN_q+5^kgPeTgh=ZaLh^n736VZ@{#D9nODjAxdx`Bxs%cyZl+Jw{i*xaZ_65!8eT4~Res2D%nX=<>Ai|5z=Qr-5 zeB0u8ocDRo1s@*I4}cZLub7~SKSTyx%aVKS4}0yczx1^R!kU_!&q#MXhSw3(=>e?8 z$ak^IeMv4flnAN4B42J4=J^%2YxT6g;P*aRDq>lM6? z2_BEWlZAdBoWERa>t=~s$QOP1IlX^+5V`Kb>z%i2mzEYp9O3GGW@;?*(O|sImDP&$ zzrXtOJ6r!oemiEi`<0m8f#!R(8xPXKA5iIvySPSxpls&y4VeH40RQrKn|jAFs|0f`UY&PeuYh;Qg@pS0jHAWaeL_ zUN%R1bz60k@x12c^RfQWEji$OgaP$`wmxsMI_16gHUMM~wjAWVWQT=}I1Y{>9f=pQ zy(x6hnyQ4%w%u$g;Pw*4tJ;ZF=9=|lRu}`u_BJ6THA^Y zAlp^Gu;m0`36u3+V?R&B0s4nNZw{Y@53c)!|E=4Cpmc76#QdN}Ps`0Q-3BC#*+g1zT0(9Fk7za_02F7_N*Ybf!0T4+l{6M9 zXb&1=Ulu%#FV>le&7wUg6WuDC8r1cAw_|*&ww!iG>_z{v!V6Gf%9bGF;u~ z@nsXxaMbk<7I!4a3GIVF2Q7m1prLC{SW!nCa@G!1)Or)a_niCVcOR5tvNA~ptu27_ z-T}u!69OdC_|hFzkOz792zwpWx81!dGZ4dzbfCB5>St!1+?A*>;5#+kt;K+JtToG^ zVV60m(r`wrTsHva=f8^OWengEtwW3I1vB^*5=dx6dvZUVVhau-A0^>4nvDHsXKp8gogw2C`@A_MP5<#W@Y4c{ zN6U`|q>bQ4xt^da3H6a8+xc&z{tAu@_D4--{Vi4D*gdMzL=`@WYCZ6F9{FR+=0%IN zp?jIzY6daqHuTB3l+j}G);lN=Ec6Jx!y>4j?_7?e%MJ#wf@hB6fk6;mC{D3g80n%d zN)3>1`T?7amm(0Jr;NErRC$P-Oe~s(PtDJb76lca#`0gF>bo2*)9m*pH)&5X5&a$|)9t742ryH+Hpn7NzFLngY z&-{tzPb(dLA)MGewn-NXj&lEM*N`8}-a%%GyN;`kr}FAEdNkQFJWgb!&KH4@DYmV3 z?nmCNsxOLJmAS^i zFd$y_5a|qg%?y032PM=u+;#s~Igy;Fc;4c9x?Iz)oB#O~2(TIzIp5NSi}zR$jC-Q| z&$-{D*{lk9zCDb1fBj#L1>6yDV|nSRisAmWxc?gNFM{i5E0U3Ax zns944=R4uux!Jw{A6f4mmUH;N zj}ua%lu8k4l7`aWS9|Zhd)j+1?Y&e~8X{4NL^4`hcOp?pC=DaDDH%nne)sqD@p|6B z}39n{~C9Oe0{4D z4qN{)@LGL|fOMs{RA%XLoO606RmLoo%$s*DAKg?MjRZ2!I<^f`;QMxhr(e6$kEVBq zL7$7zg|L+H{~z!ENZ{Lugy-eHsxvjgknQ@2{pFKXGCzN~`G_l(Ap$hk@2D1jH~|E| z6TH7Kh;=h9Qv}?8y<+|)DIB^eT1iPl_`XHyh6JB&6r?Te44aBbMZ_F2GvK>V=erkF z7uO0a;q&nJQ`2$J1MvTEjz#g`gH9l}^z-M!kP~eGyz`-5stXir^}LhbV@aM@h&d+P z_3Ohg`2LgNuZ|SvdZYempc<&~=hz!do_mOShy7fLN*bjzGzZs>7KD4j$;u_89iAbF6Db)?o5X~WV6o+_ zD@%zBAl=d=zT?ioD4pxj!{7+V*?ySHM>~RN%ic@9FE~-T!nxX>FOF22+QLQ0g*pjN9q@2@I8uZ6rJt2$wtC?E_O;cUk0!Rbf$bw#es=tx z!DZ#Q@Bi^Q@x4|Zw=dVcG64VPjP32dTChaJ*!_sX8qQrgBf9Q{bEeh}DJMvtFilN8 z;5ldy9{b*llwcl7q@#GCYv2x1=xMuH58el+9dU_zfq#GM_Mg&DPk7}^L$iBC1CA_A zP#$x1$8!S9wg_zx^53i0u#!GoK>`8?B17HySk&x*I6tw|kLbOoaf7$bozEumUh3^b zx;;zH-cbBOKzRY56ZgH`#r;do9IOV0mc_6S_4Ah#hlYZkz>3F$;%u@#>@N$TSg&w} z4?(G%bv14`YRUay4bQ&CFeRq>ierKJ8;hF$dsqphB?kf zC7nLq;_MDff(k0mUysa@$=v;cJa-3pbn4^S_NIG)6NtkFqFyzWP< z!m7>0=6gGx!OAPA&@dX$J^y@D2%oux{PNe^6a0YKS0L`=AAM9;dMS+G;s5Dkp2hAK zfB6aPFGap|T*~%__wOXXeKH_H`24QqP^^1O$>vz&J>-gYkYPuru|9_QoQydC6;9S* zSiRGgwjKMd6ME#G*A1pJpOGMl@~Y0yK@xNgJ=NSYXbOXxHg@N6&er_>x-2mPd+?JV za(G?jL#~s-rxA9t7A|mvvU0mnfCnT+PJ}u$_yVhP`9*;(*5K0L8Ds2k3`olP(BUjU z@c-zsX>)-gYzkBq<;mR%eI?`$eslgsUQdNC=k9)WLhqZhh`& zhp`{Mlx@$h`ImmMk;HcDFwTuIyxPFXqmFefqS6%oiFjYyXH#ljhCkfBQgEgf`>Q># z$nwcpiU8_+b3vc9!(oQihRMrV8Ady1Kd}m9omytQ{#zXq6k6WC-#MiY;TP$*onkus``5Fr_a@gs0)XdO2&S z)e#3WF7d9Gj4WZ_4$TKPbFbZef%$;XAkS;O*KlmT`&*{s=!p5NFvv_(*uPq@=ms(@_O4y753vks5Tw)s?#6nH8uN| zRB_%W&6C$R_qf28C|bQY!QNo`p*V2QJFHXshdZTjK6|L*b1l(F^z3;99azawk@d>) z+8s}L9JV{{^iwCO_mC>k#e20xpAvmb^yzNtmUql?4&e0QqZ0}DZ^Q~?xb7&{VF}CA zKIHQPqTePimZ+!i_W`FvS$*y}2TFleYOAS|8xZ-lME)9)FGBcd6MakcG0{&%zY+V{ z|F@qB{3CGjMSqRG_GvFLnv=iT9ftjl{^7<7%W8@l_T5^)Oe@g+lmuGT>cZ<^%*nX( zNJO?%+D{*N!uCICJi$%IV*+Oh{3Y;Jt*TMN#mb1x0|YM+d^h!WHLxVskjxJi+)kO5 zSU+Qap-%fa6TUAE@ZRyZ#2lI!F9)9dY6LMQ+D;C_#*mT9TIeo^{kp}y*YZ3p!SbcJ z$CF>yK=2vCZ#3#F_UvkM|HXfAcplm6V&3v2DV-Cp^nmEFrnX>wK05lMZ>K-2Ihi-D zpIveuiu4A8XX8^73ygh&$vn+5f7q%Z-W3G*Oa_Io;dknPyt}zJAkz@*I%WoiXckFE z5Hzlyf4TlVnV+d;H43y!ok3A%R4Wzl`4Rk1=6$1iYOkwa@XD|YCCTDF?zlu}$0ZTDlYwb41nLg3QqZoHLb~-qVivZ-0gQ>8;{^oVSd(p~JZa^e^Mi zn)Tw`;JEV%0!cX6q_%BOT08bV`Zuo-bIf9cyUWqLcyIY1f2p#G{ZYU^uWTbff;wmL z`RL!=L(DtEC+YqSKe7h;)aS}sZ?V7WKuBqNqz5#S!hJ5Q`+*eAkskv%FYYN#3>&qD z571^$?%^o2f%=}Cr#kR{!Mehv-t~S@xL#1cORU@(9;7t=F!nhLW(tS*e(gPq{MV)G z87_;W$J+xqqjT`NS7VGqlSTuy1fmC?a*<%)g$E?BWFs>Fm(<;Qu=9gHtk2LIPE2}| ze_v4dI$YMk4t($BIa8^|p|hlY9}J$UW1VoJ-&m3n{NPE`Xe%>?d&Bt)5qQrhbLP2i zI;#p$^$0N?b~Z%;uZrX(ej6bJuOo*vzXI0V!+T9*L*R=x&@tN(#=hAf>dsv=NAsOL zDveVXkUgk-=^eW*pjrcKnQCk3Yv%0P)ad}5n_X-3bN+Lm^gE=b&O(_9otN?&X1k<> z-Zk6k6;H?P z{+zzKwqD(%X5jej-0cx3>=7h%0|6@O#%|k>nE#hEVvW`Qk_eCyKgY zeVT(#3{`$!Hym+sg|A*`=+Al`1Gg<%lo?lT&{}Bug-51Ju;Y(|PS#OpvacNB!#g|0 zUgu?t_xk?ra}xUs=Ev`Mg>d+hb;C4F2b8+c+XKJcPkGH`7odG(C2xCQ5AG@S4nD_w zUWLc@U*wL}#d+1=wP!Y4l0TaWJ&gGdEv%>yU1cy@m~5N+M354 zU_Z8^|6Ruz)vRk;e!A=okC$Nc<4!xc$MR%nZixrEPB==1864a^VGE^yT}Ols%tvz+ zNuTq8(05LY$z|psY(dNM=MKi**s63%F+s{GplM6(hDV$YL^MH~uuG4~k?l8|ofA{Ms z)`!OycUL_y2a$da28mkimm61atGUkuo{zDu1xklO(&w9(JF#zT`=Wy3RdZFS+qd&l z&3+g7T`)iI#DmW<(b=}Q81!K?T_!7Jx`EJGjGIG#Fi(NClMteZ^;!~fi*-gWU>nvF?;wSJz+{8gc_&q&@yX}6!a*Jov+yfGALo*u9_@^J zI${kiE~Ky-tP|vq`X$X};sF^&7hIXLU4b{WKX7Kh8!YdyeY%Sg`?0QDDn7#cmg32- zl2YDKFtf6CI{zE{+5R4z=Yc@j|AqJLt^sG5J|-)$tI{8&{k+G{Q0hS2`#@Xni~2xW z@g-XHsU^8ir1OgFx|ehzO~FKtZ?7F(H`;X8X;BMqu{=37#bX9>6){(YHjO&RrWh zHhRO=7c3 z>&|f9Tj2Pa-&W*&S|Wdq$QL2{mhgup{ErBIKcQdyzx_`9@8}KENV(zyk6qJ_FT=f@0I(s<&{AJ7~^RqN5Dm3dD-W%B5 z@;zr{aDNVSc(5v3ljW9lY4|-NL@k4Mgo1T}rj{$aBQS z+7!n!T|ZE$9y*)lg3l}VUwUKk`9f<;S*?e%C!`L37aXgz0Z&8W<>g>c@IzI~_C?0z zd4-r`)_BTWw@teO!Cw^@`<}n9!@BX8cI9)1A>_G-n0G8G1kLUrw1mM`UCYHUDo~?8 zxe#{qI9%M4^F~`&4zUeWVd;b!M9O7v9Bt5mikD^=FS03sN$cj75_x-MzW8bTI|Tu> zWARlEW8?w+u4YHimEwT{C5};DEVM@V$Gsn9i~C{U;nE$u$|Yd=mUDaZoOUtYEt(v=edKN{q1h<`=K!FJiBM~aRS85 zseGlC!n&!G;+HRJ<9(rx{g&LGk#JP|fsb!u5-|1bzj&g?A8eAWdUf&n!$n1}eg*qk z_WHhebjjC-dxO3gF3L!fzt?L@tL%UwPw4usH5_Ce0J4X^4Amb9fM3Qf8jf+H*q2X| zX?+g+On%{i&E;YQcAavUuKyKAJI+hlP)BlOe;(P3412kdD0|mwsS+{t@zV`bzw~i* zBGpaftV}$_O6PfNVV~IVuA`}5tN+ov-LX2w5r_R0i1#NB$+(u z83_q)`hQ>Jd@;wLuU<1RX~VK)p16Ec8e;5mR>%?b0HSVa)HK&6PRPK)HLkr>@+8>I z@kVX^o(j-D+`&Fe8;W+0F9y0+o<*9pFSRH4XaHAG((A#UA>eq8ay?DM7rqUKE;&1% zfW8h}8AB^s5V#PiA$=12Yl%ANMAC&q=>csamgG3t`8Dh!#jbc*e9?&L@qJUz-{%*G zR3f4CvhY!wh-C0SQq!b-J{H=PL5&N8f4tkODMx@BT zDr2kOdViQaq2#N0{)`@;BYK~*#RrE&kI|gh-#86mPHuQzV;Bw3cw9>>9mB|J-@R7an~`DXv>Sk}~Le-OF{#ljh)Yb55#6N{w7s%00}r+VSG(QE9$ojGs9Qd*yFw z;A4sQNclPsFIuA68oBs`kq%%g-z)fw>yM(gE!++I$&0*1W;O@$djbE>-Vwn=IFFIp z^Uhxl3Akn`oAp;t8Wl^Q-4a7A{=l&hOtKo# zVQ^5Px!DM**qnM@^~wmHYfcc~#VSe0g}%9;jQc%}QM+5~O{G$P^j?Gn*Li*_Cb50n z{b`##I&vYL$zgFTB5-MNoAGg-8hkH&ww-!ki!N$UF*_rB%?O!4R}@rY99LZ59h^(S zLl2EDydOF@si8xgDQ}2I$s_O3)=S+2hUknH&ARL`zOSk|$EPH_3nkUxPJYsQ5PDvD z`g#gEA=k1HQ@0%!sJ=jzMY02+l9K)AGfpY=L4hO8w#X44+A%kT(rF_}`bpUre*8$9 z{+%J|jtV>)vve9k>gdYw3C7xO%5dXsn5u1B7+7}&v+Lu1e2=DbQGewCa-9VKs(gAy zDH$BpIJTY<#eM}^?8$?_{lWZR3G3zhAgJtYQ#KRCKHvZ9TgqzlRcm>Ck2Q9ZyE=sl z*){mFS|eB{4DNm zw?lu#!;V|u$MzgQLB<`;{R)rAJ|@F0uYw%XjtuPU{=axk;4Fc^1is!-ES&jr*N@Bt z1TPSL_vSI9yXh`pGCxpGxlBa9)rRu!)hg~+PO#T1v{ke`5w3R@opgO12SUDi?&Eb4 z;QuD@ea}V&m{)#myRDxFG#S;Odb&=K`HbK<&37?gsV&C;#ed~%FIyKiu`V{gRjs1K z9^6%`-uCP;1c5^e%I7Eb$h^rx(`1+9q=X2bU4H1+q!leg=IPECKaq8!3G}hmNz$eG zl6klFi~qzayqCtwBI3MvyBiqn7SQt;uOajEUxnZi(+xXNFDfysL)Jj>JHh+I5{fBr zBRnC-F*y7Ik3GD2uJA_mqB}e<5;U~yJqEAdYX;0eyhffQ43mws_nw!*bHs(GW&+&E zK;%-rt-vl2zR_&+X-ycFD=pe&GIJtQ#vcxf>B)|k*5mKxDJ2mxuMl$#sn7eY_G=u5 z^pC&xo~~5<7~l+tE3UhZZ084J?jhzKjgDH^={!fc&-nVSBF?ExW$azJD2{WctitKq z%J7~>rTK?z^PUh#bAv5dzysv(CfO&5>?_C^K ztb2r=Q1XYQekB7tlrt1KV}{RtuQ`KxdsQr9)}D(u_ZglWC;cKEQ%S&{kRjy$-3*9% zsOjLT$G-2K0Is!`Pc{GQ{(OYkzg2kyB?aS-~$hLk1t(d@dTMAua+1dZ`f*<9zliQjktEN<l2k0ECf1S-UfZ{H% z)XR_6VZ@9#WmkqH+~h}xYQ~+Q*Thd!x=J zv?t}#f99m;H*d#&F|xw>PXGJP?zQL0o9Y>S9{;zWxLEbZWM7U81f2wJkIVGQYKl7#05s22}?*bjDNo;^)j@%E6?lH(PEDryQYG~#@_?i6?_V@pF;)Lu*t9=5IFa>es*I3@7vDO&F{J9h5e2n z$p!rI^adiAfXH#;`*Nh=4sQ?;dSF8D5*t+$B8}fQ3E#Pgl4a9pqdZ}?hIY&r`_REp zjlD8Pf$*wzRNUyL3tY^BSF$HVz`22YZ9plA{5gh@eYXAwJmJZSZ(qL(hhiP!|N8y@ z?R#r^#3LF+4%N2Y9SH@wT&Y`Jzr$fSb*ky+E)r}+&`UPeFc zyZB0cmJ5;s zsRAIvoi|tSIVbdP>y0(Q?~4XeVOcqNKmThRrH{aXGAs-g%^k^b0E?LN-=93Zp-nZ8 zrB4gz`~1TN#w5Yx`^&Uo{9)$l)iqvd4c%S1cHbU`zCC}@c-#^4U(JMgX5f3!f4CHG zE@INZ&jxOdI-BsiSU_9O?u>*dZjgL(*!GOR84SJ~zPzp276uP)`xWxt5>DJaQszrd zg@%|8@~!_h0QO<4_vOc3fph$7C{y5J2&Qi|$@pmxf6YeQwawH)>)RFA_^S%w*fSnh zZ$bi?&+>2ewuAj#G*j*#PFT;zTzht#56A?XcjhxVLr(Pf9xkkZ6D<=n%u_Uiq=JX< zKHhZ&2KIx0{QdmEc>An0V~al=yK&&hq)h<1PCS(j8~hq#;O=#qMa~HiP#j+CjKulM zra_dp$|=})uqC;^tk#cQ-w-AC{>XD5_|4lPWfb8GR$MV_AE!Owl)R=E3Hw_(E{C3H zpt6V9))c$QQdcnea5QJ8*Nu!jn}5aHe#E&YL?0=?W(cdmd-d%`B1I|K=Mn`iPpfnK z!Gche{d2ECa-R}?OZ4f$!Z%r!Z%!a*(c%$@_qwL?cdHHH+#c7d?^oW^`2o>y4gGAA zLKC4tAKfO!S$_h`QpA$4;6216vQ@A7F(1muiW;5!h4qv(`!ikeeIt=iOY|+#$3#C7 zeMO7&-p3gtUCqe+zzNaIwf#;&PqU-> zMTsNSAC{ai!RNx@ha7|P_*|@WU4N)-)d%Kk7GLG@2SSd8_v$!n6x^?yHZ5@oAoCf) zZ&!8P`*|O0{}=x;j9+carZR%682NB@Ry&}ZFr^lt$Nu^JfqIt{fXtgNmhR8bWBoJ1 zvmOCS4c(KjWS+Lw3BKdJ+ZqPV!p`#Iz9o3qMfFgRv7sH1(k%8L=r(}GzTFGcFRqaJ zIhN;5ycYK3mrvi&-;wSJ1iur!Z)AhMuVX*5_fCUj>vi}YprvE=hL)>JLo4* zy9c^-;n|TUaW%xzw8g7LRT7b$^5SnD^h4TqoQ-AoZPClq&b%=mA<#8^xS6EA8|hG< znQveY19|)7fhvz|z;WyOT`~>MhF8|;D9ld(<`^rT*CQtQG?Bqc{j7?`SjR%Xi;kKbQU$VSR1K;c{a{XmfkH92-lr?-T_FQI%3Za1t0 zB&GbK;lqAIf3t20@TtHJ)u-B{XVl5x>$Z}ck7h>z97f{5v}r=|T>axlL_-MF2d0Dy zI7Y$DW<%x<{7%&2L?^T9KF*mLHwd&op^13zCOP#{9Y&09i(M2K)X~;&3Ut(zdZ_f? zfW>@@KAK>>7U2}10(W+N-*@IL)?o(qTM7pKXWxBlvGMvd?3+vMA?~f+`FknOpRC{L zpr`+QMA->84#h6ftvJKp<=*vfS7#`@x23TF`w7^OVOR7xL)05H|DB3W7}zDA?3KfQ z6q?seNi%{8aHV-sDXz>Ly1%rnz-~P#)ij%Fdz6Kqncwn|nD+;wZYEYd_d&@~kUD&E z%sB?@zow67p53Mjte>uX6d9_x$ZP;gs z;_G3T7x8dCT-|o=r3COzJlMij>ks?x4*O2#L_zm;>c+zPWDuy>H`KzB0(19zMs9`q zkk5f0A1Rd1gq{R}$;Nh(=_FWCk~_Q;e-9$JiO9KZH%*@T;Tl5rOCj{Y6kX0Oi4TvH zeR-qr#U}5@KHSGRazs^eo_)gdrJHkSVqrn_;G46*G{C{(V%cI)B1GsiRISfMlRxK3 z|4mD4bT=q%akyLE6HCrRn7OB})m@wgej*Wp$Awd&Rm|WS=U^7xNIN^|ucZUmo^N>V znAJh&yL=)g-dU3CWWQMN_B6Ht^pRPD)}1;WxD|&kss!Wvrpkf<%5Y<(I+*yRu3HGd zt32_HQRjoBJ*|8#Hx1E;%L6A0cbmgX*l+!F*UiawrO_XBr|-8Z`eZXB-7}88%iT+A zTKBslC(#u4eeYe6v54Tu4?&Kw_9SsJ_>>CrP4C_R!dM3l+9(|yDe?zO7gr7yJRc|B zyY?&kK0PGN6pZ?^TA*jUo@vW1;_oFNeldAxKQ}yjPFRgJ-RX773lO$9bo|8~6<I_&*GYccre;Om zOpx^YXsA9NR~D&nB<`5T9#+3Tl)*S7PTb3Rg>RD`k6N{o+5|X;<0nBQ~Rih(5Z0 zEN4l{&k1Zc&n_AYxWg&EQzFC9upW6sgx**tl-#F8-x7V=lg;kz!Qu#JZxtLgqg9b+ zQ^bf*1@;xYc9wf%*%63-%TO4Vt4@oDuKG&7Z-3ID##>Z3#uDp6dCJf2?Q;Q}@RzrL z(7R*3tD^mkp(%*i`Ao;)cVD7!i9ROsMF{_F!XJ|GKO*{>(614=NbDaG?`y>U5iuWm z|D9{wuaXM4PbO3s=fsn7$I|MO)xg7(@NPKz%F*G|K;SWfvjqMU_^R}1QYjGUClWkB z@B+bi+cezDT=BjS!4E4`f|(C}wc+f0t%iKO57(5VqVusk9hm5MioTReftiEH1#*ny z!I~jA&Qd5I=euPM>rUjrn= z3f><44|`cGL99P&-=Lx~nKxa#o6ld8F+>E<=C0ko&z7`_%+r@|9=X*&VGbP(T~stZ zL1fN&3N^u@;FfthdPgT--^Q*t^3S=4CX55`=Am;CF)eg=T-n zGW!KU%BxQ##R(FwJGW~7PCt0Sw&H&q@9zkv=gou}){*B3yxrmEo-F|0gweP8mhicDal~7(Py1Ax93tiwVvd=ZD06s{atIOp zb-B0x=N0U)^EtvKE@x7TJogauj=VC-ljFHDyt`H;&As+ZkyiWHx*d-YT2%Ou$h~fY zc(%^W7P)EzGt&?M+`l})vi-4b)fWlK+n5xVYH&dV^PO!scjzFM>H1&yM&;4clBOMF ztQ%75&OWSl-4uyTG1H%s_6PQA+lLQZ_)s;Sy!g?C00=nR+|zN`7$O*COn>G5XYYoe zuMvJP;9R!d)+Rp#&B^mf7l+BwHDy(Js(jG?$9fTJYg=*lG<5^%FZ&|&aL$Lq;DtME zQ5rzU{qalFHhZWNw-%{GZr~PGxg2&S48A!F&azV`!qA3pL|1Pp#0>QE_}mKzi*?KU zKWk5bq2fv}Q*{!|ZguwyeC7l1?AUgCR5`+y!ej4l;Jkrjp_}ei3kgD9q;Nh-DqSwG7I+op>@0znC}NpH(T>pJ_p0(WiGpsH5*vVb~=9;>&Ps;q=(C& zt0A*(DleW|Ng=}y@yx?hT8O=2X=%n%3o*)N-p^GtL=zkxuPT(|;hQp_59d2Sc--bI z_vf!aZ2F&{-*L|_(`WJPJCSu7>dMtZ0$%Q9eXFjSxr87I@6TujJI09FzT@+8 zeg$}6b<0pR@dH(J^AJ!_mTE`g?|j^-c&{ zZNJCNR#=F3#oxI*dF42awAV_Omxn->N(8l`4c@zZZRmCE8}^sk-1WPCY)NrKZ6=(1 zCw?byS^nfH7Xp8OpWb`lJ`TdECdThxi380ZTP<%9XYxJy)q$0W#-3!@)ao#+l@$Yt zyLiIPy{*Z)mP8IX-OZ%{K~EpDpB&+rVldyQ@Evg@BDWy*Z>Z8Ioa5@aNu^IeAN#;; zb=WMC6$a_=wLdcR2!kYb%%NC3=MDG|X#CoY{oelN9Yo&cSN}jIi85`cR)4#Mk@KPg z8fuuiNh!egrm>PQJ|2EfFUv?ar@+JjUWDn8fz%Jj#oI)6&;x4i)8G7c$#rs1^BJQG zlNUO9*vQu~Gyt-BDNEMcHDH-_WphxXA+ormZM4~f9(K0xY8he@ME$bW4zBdND2wiz zwJ5VDR?n!9n>3k{>*}$8YIkI&1$v(T_=9(`GrHei7#=L;jK09BN4(7>M57!{e@V#% z%uNSra?Q1nUg3)Aj%@}g+NAdd^KLizK3{fz%O_K?*{W%`!6t;L7LwQZvRR=J^N~xk zEb35F6p&*WW`w@}UZ_Z<5Cg&O;SaU-L}2%*zQ@@J4e&4*ZA-agkG!&u&GY|qM90jG z)Y4f55P=J+9NY|B&8<*}{2z{Tb4j$HOyWl*qUw?J>;r ze%u^n*LyX}SIp7QNHde|98O5ahGElP6(w|E_?+!tRVBnL%-BxLXo@cX5H6#V(?Hig zT21m)S|Ew92amP2xk9m8)99Wzf{0f5nW4o8Ky85xZzclWkwIHwY_S5a|kz---!;f#1CM&*2dV1%3Vzp#;iy+i5?JTx)u(@S2fpd#&?CjZ zFjzGr>KqveFOA#3tkU6o zw?MTIpHl{MW=4Fe{m6Yv^exe+39dS+yRnXTFBR*>dnu|&$7a(h$`=9fl)loh1epTS zZ~4!6PYeAB2M#CN1;dvKkm36-qH~!CRAA7Y|DY`x92>O{$gl@h?T5APGis1mEI*pF zZVyD?68W@5{uJeKBho`eFTi(f~;r-RP zJ_tKO<}-rd+#2^BPn0zJFaA5k$vQi+tOmDQs;bku?1ATj`oYWB48h^Z^-#*~I%M8_ zdH7u1y-Nm&;8}?hrtX+hQAF_cYbLg%B3t!AoPjNVt0>M_|Hr%gJdVG&jCX|dohC-R z_v5|BEVVt^Ls!ZCd{t$pQeuw{G#m_@W3Vy?g5L?=|Mq~gWFZOX2$^n)_oA|dr-sk> z#bX`BGxqrtjww4(!o-bA4t$?P%n@U>xdBZB`_OEYyREOhD#|GzNLQa%LQLnwZ>%LF8>u1PiJOMdbNoPaW`Q(li77=bV;_L8et|ig z6D>fy`rfL%o-U++Lw7wssiTageE<0{IXI%k_;%Vv5dxViB+Adbpvf^wi$nDm=tb`X zOL?4c5?NOMR7pq-1nxD)c%O%Q!$lh)Z_3v3yI zQj*IgV442YS&aA5-ZU2fynZ4YwoZMejk=8eySS#W@x_Ef)w`N$QHn6Iu>0`QNGBF% zB4&!ayM2Jib-6%WzzJ5y8{Q1}yTR3^^@p+x*gvVu)koL$F!_6xACgSd`0N6L5BP^~ zoyETLch2nLF2cG2l6TfL_7y80C~mR*LV^|U6sqKF+HgxP^j()I<{8~c{s(Tlkk`!h zxc`$lB-Dv$)T}Eaxv;?V%nnDv*WIu`CgcPtV+$ziPuL%_Y3uh!gokThob1WiW8hT$POx=B=8N@7ahFi1lQs+<#(pum9uoP54+Qzcs$`$kT$H>-2KhgSR5OQrv&m8*CFFXuRDB0m@|StlI~y zfPZZ2eHPw73f&fJD$S1dRsVA6QZ{6dmSA0;jX`y~K2<0=PjlA$nbrzhBD_#O@aOmW zDA*-!a9Z&|0#F(^XHTEDf|8~S_RLv(L0b9Mf{_`nw|{jK{rK3O2~`tx^ns;UkwgG2 z)dtdc1vtQh)Je<3_R8p6Td#3nG{FAz92Am8W^iMIr*h?#68f$;RLUh`0Ug;@O?#KN zk?ZR6u}(EOX9C`jB(nSJHPPaeXr+vKePsK6F2h+!AAR=T_nfYh1V2NVjA!B`p&|F| zm&bXM5SXI8jdKk9-`t!Euk3V!$v3~Nul5+jtFXuwvj8JVzW8(pC)VMzp${L<(`ca& zjS{nK{!swh0R(aT{w6{P0x%us$~LdJ!whoX!< z&ugLPIESSJOve%JXFjUJVLfQ}K1T0}4uVwsw~EVuWyrV`yiuMc6=w?#$RNBtRSEWT z6;ZP{NuVp#2N^5kcY(^r)7+3wMKHY_Tr2J;0y&}ls?PfA=)}z{QK8x#V7&tZ8_Rb;rC4qHKxX9Tb!>cdSsP4ED-FJs%2Af z{uNQ*3B9b&e`fH#1<%!Md+>eH8MHuM7N!nK+%T;xhxew$5`FtsdB9C+g~E^11ayX5 zR=V`;$hhM*e&h0xm>9W_rglqTV#WHHlN{T>2ye#z@Lv;`t=oK|YJ+2u^EUQF{@15O z-x7UFbNtZdVICVe_Bzj+-497c_-SO!rh2;_$uG>W=Lecu#-LTRf4+!xmh8Y5k`J-GS&^IqHmRR{J1wKN0;# zD*3!~J~-1wvMU;J06 zEvn7VVg;3RXZz^Bxq{e-SBYj=SNbvLXK*W{BAGYqsjVbzn8bnL*?w<#$zcI&GEetE zh?i5tIY)N{dTd|Fc$0Zoo-?Q|H`ECP3u*?wI@!bAv4@*O&sLN9Ian#=o&GBaSZ47q z*igVeR{!{&;Qg7^$b;`rU?2F713e}^PT)`H#`!i0=UQZM*jO!NUDhK?K8b~^P}!%HiSI+N%^M%R%m6< z#UCGYNQmKC%DUp7AoQH$w8-8~8i=`hZ|&|92c-7+GDY$)RYc#Q+Uwwb0!eK!d1V#( zpqPMdzZ>L8=!VT`Rxev9D%xptbIT`Zlob4I+b6+D2r@p(@vX!LWot!8#XXJ&iMW&X znw|>4I3i6qj_+TIc__(1si({u`&4#I)B2p^4+6fvsaosQ21hgQQCv8|!-q2W$6lRwr6gnir4H1q+# z1Lk!j9y+MTV_~SQ-HH6YysO_e6kH4g}D39(~O0ie(f0> zjTW%CcjJPch&Dv86@I8Z;fUJlt_6#OBRV>EIi9!46Q%y47Po10LR9pOo?LT2=#QLD z%{AI=*kVn`^HnqqBD0bX+gJbR-7QM=5d%H0SHkCmmeD7SvndD&f3)1VTS2D}T7kRI zBKK8hdkD4ZU1;YwgUri(aX!{T5Rv~%!?fQKE%ACtTDjOGm&pBxTCvXTRAX0Fok9xa zn^8AiXB@l?ZIr-tbM4q)hqWQbB(-Z5J0}$P3 z3I|mr_vTQt3sn-j@x&+a;+}Hk{OXxfx33Ixj6^p%0C z*kqeCifCKACMLy0t`qvEolN05(Wt$?>J%@2cd=>4D_Z6s4MvCL zkR$)y1B;6!TOO(!hN9Hp=xynfNF;XT z{*q5s1QIM}s&}FYLk-DSb#MMcC%ok0vZo=N_60sK${O7n%qdX z0Jb^Nn^sXFsA-E?$H_hTJyuA8B1h5<5x5}nsyjJovmc6xTb$gkhVQ4-?`h0Fc0@nL zs84W-`=Scjrz`@0?8vy(oopZYJresrt+Q_*arZ~H`q{a=IU-S7Y#-C9Arf+bU;o1^ z$qAK4dFq+6`67;yrAuDUw#bqux#P(fU-Vo;c~rC42l!a&~eAMy$F!!8T60g3jv}|D*8-6 z_rE^{2Ob|&T%ZjEr`_RPid|t4>-0FwQVRQ4hWWkPxD-jQ?<&rlQ$i0C;r{%S#H?{I zL|?zcA)=w5?Xpk2j?i_bPXAgbODcEX)I`jq)-hkf#PGvL_IpAur^ zgp4R$ZhL+Xhl8O3FWXF%$^B;Z()txiI1$Q(-ffEu&4wvY-(RE7MyT=(g}c;#d&p$7 z_Auwbd8`MR`+heFp|4EOzn{kW6GYzb29FCGt}j0(!Bik` zd4bd!DE4tSc6*UR<}-rd#zjk5)pywZ7ysp7)+#w3E)PGxC*9G+=OD9Dwws23EFfsd zaEY6o9+@|9PuK7xQV(*ank%_hA0Jrs92W z_|M%^(vuqmzB{;X?wY+r=I6UVvxmH|kYIV~NRNnxDc%?UUw$WezjHS zKZ_YuZ&I5%;OP&-H*14KgUyh7hp1%egWKdeqJ66Nln5gUnJaJCP@-}}OLZ-UHL9-Y zjajuJL!%G!>Ns@G`kW&=9&xy9<(n(2G27~X@PQq9ULod~Z^TeDXnhvZDD*PovQ2rQEC9 z!M13d3bhgSVK2nC#pkaWuK`LLzwMEhn}Eb3+GR!WgrY+QT{pRDJdq{4=^xFGFvNe} zrsZw3J$jOHSU$om5#~+4E)2eOM62#$V##ZG|D`vXCLvM@&YP!sPz3qFrvLf*9oP71 zd^Mpn5`Gr5z8iiSfr#I;p?rzpJ`rT4yMBx!?=ljgd6H#=btHeOs$ZAu1Os0Z2m2j7 zcYPVT5-mOD2mDWm${Ym3A=*OXrowUtv3-?E&Kb95rbghf-qmUb}Qj41`)$Z{Sb zb!R}dZpMNZO(7`iv;6sv^Sk;AlILEoIf6^d^*A~gU(h|lv8b`?fcQeXlrI~4lfPHG zDXD#4A{N4o-_wexB!d64RaRd^B=8q;8$RGj0B7C6C-L|lB(3#Bx@e{a^c#)*5HoW@ z_fKuvJb%m^?S3X#WL*=2f{t$piA%eoPdCm-+;s^^!ER$)P4JbO!Ie{Lv{3q1FZZ zK_3-?^bojS`X|&g*AaQL7yhWT^F)4ub^coqkl>)kn-JS;8SrR-4AbyXAcO{O4-(-t zMaFD4qgpEYNbZr1bF_UJ5OpK2JJXk$;f{`X^0|bITHqXWF2Biq6QttAm{9sC75#O; zAG+^J1@d!|DHNwSLa8Ep6I=V!L14<8=L!CIvvfBf_p{D`ldh+-HN#!e(4&1XUtr%$ z;v7eP&^6=Xsng(pM$1t>>ojOR{U9;Z?nu_5aJ0E@TpK8YeE!lPw%b{-zRPg)j#&Vs znzJQ~E0M5vG$XL21@AXiGb?Pa3L@t<5qShodrDqURRx^O102r6(wUl|} z0sPy#R<(jsV016XmoulGQJDNd<8hWuxP0#P`P}+Ma-Mi!OsB*%lVD`w6|yVqbRr~i zpp*gLToB91=xHn}fNYzQyHg{lfjL9XY~Rfy;7qw&b|cpS-?z;k)w*dB2IpP ziwznNRN%;^JuPX12Bi7DscU5POm4VUapK!0>x+c`YML_(2TH^Y(N z$KA=eq!sai?s%{>n9wR*qkJ8PHp2Rvzy3}{18HKpb>8l%`j^T(r+y#Qrp2#XWF3m8 zhBdw4eXvCVyQ0K6xI>Y6RtH_{!$1)Ib)$-sT^xz{kI%PU_Ci{$Ja5hW6A-g=u-!ZT zF!ZdV=!1KT8+zH8O#8Jh7!|PG)iCVB_v_YQ@~plmq6x(dm!5Hjp~4qw&*ji=uCY>Onqqpic(p0Hk$H6o8or(z1V7q2;9-UfREk$fr#j%rqc!A?p`tg z>XNF^EHeu@&SAVPvMUlKGx_fyB88Isl;~TcPpiH~S9QMBf)t8|(&=B`sDJ!fg{)pA z&dk| z$7kEk(Mjh1`d^hsPlF`ZZ!do7g`h-q#4+ zA?732g4r?sZtNU5%Gk8Dq1IPB-T&T$ljST#j0aCI1zt0V)!8@@tUX>liK)?O5`6vEN zGM^FrW9B z_25gx1~NY<5B_?4U)$w&^+iYCO^9nJ?^qF6%XQ6aO1b-Dj?P`0r;tu7;yZ@A2i6GBC z#Jn>o6S&COqYbqe*HX*-jgfHyqpNFx4f?zzwf{q}H+p>Ic!=R^6?8aeX8Kv96|!J$ z2@@<-L*G)`x<(g*&^EWE&U$Kh^j#~8+UunSGH;!ocO3{oiT!tV&!{+})+g3myRL@7 z#(9cKnPp>?xtcx6dIg_5Mz^>(Nk?+1D!gARdm5HI{|ToP?v7v(H<^ z2S7%Ff%C5toBxljH;<=!`@hFYrIJu+Fh??G$e8JAp67W!=6RlHh0q|SqEtwd5*39q z?244g5K@UG6jDjiK)?Nc|L#8b@%UW-U60On9M84Z^R@T$xfU3;t*9!!#yLq(r3d-r zwb08RL+#81F4Xs>E&nk6WJ);bPyZZHyb%o(Xa9_;uV=u9Nxdr8aTXf zTM1srd*U!BNjqr{yG>8c*vte%N@Z8CKfMFW-0fjjbk!EE39_};leGuon84Xp2U6kh z1OGe6aK63iS(*-eeOVN_=bLGn+Yv;`xU|679{{9ov=XXzO~0^4e7?0e4ENbWfbCjM zb#`fVs!%hkqBaRNi9|N9IG;x{-$vfiadM-|M7PyeWeMOY$ep)VJ`DWjnlAgerUHHB z2FD1nLdN-Qe+N9VpVUA1jvM-zRYrGaK;O5XN5xz4K7FI;*%w9>>YlE;y6D#{Ohae(JhuA0;qYGBtK7Q=#;c@tt&bh zvwY7z&<9?MOX`2!=nMJF=k&($xmDWHv^kE(L|_+sU?ZAkjA|=QxWn-r%L3-wt@T!F4V)H*Tpti9@cItrEP37ypRoq$a&S`*!x1Mm^kIkmFHwGUgEh-` z%Ud?YQmJ$>!`K=&KGs;*bvy)BiZ9QEBt)T}uP@n^)7=r_g+CIkeHp<%Xl&@Kz&A!M zbZ*-b!#qoSwEQVM+8(^no#3IjkZ(ohrKt>h>l8Hy=$hSf)?UIJJ$%kxzwJx}`gj0Y z4fWWg&mF!iexvp%G@0KpzaI0XzR2lEJXWZ?H2m3v51wetqqOb8@VcW1B2LwgN37AX&PJuszj)tq_-!V|Bm$C+D*dgE zLV(oC$P00M@!l+0FQ@$Qt7!o6ZT%o8ei`pqK8qAFh>U_nf%(nXneo2ZKlNQ5LaXro zcoO&@|8uxl+zW*b!{4)iJQ1s%f$@_q^6;F;KQcUnf|7#k%@~%gQD(9JV$;DFYJ_)Q z9Y`t^U~)qQN3&(_&RWW5Fl%^dMHSEKt~n`mVPso4aMo*I%MZl$BG59{)L-j{Zauy%b@zFO;#JMU2w*=j z$bN;>{*^Dj|M*k4$AcpqhK%&n6z^w%SH<0tUiDNk=uJ4q`6(H& zIgH4G1IM7f+|STaWIt8Uh`xQvJs`8g)9OF^mo1aGadWUboTelN%`@P9k9`iErcBmA zr>mu;M6XBH%^M%5gpO9YBcihc_P@H9mhBPIX_vHBd=F=Ip`c@e_U8{gul;xLBw3GM*b$eKue9=@(0J>UEqd(bJ=RX zzehoiHuNi>uX-cdxW+w-_<7Q-{dfD__Y{=xd@9dR*@4=xkUpl%OVs?12i}MIN52-N z#(LY1V_#g=v8!&cJgI#T>34py`O)#>ebl}E?^~zX+##ZJmF=(do^Zq9TEe}n@<2J@ z{FDDe07$CJg>~S4h>sok?5;ubtE&fs&+ zAwg~afHg@_?AtR~Sepdm;q7DFO>N+}oLFDC6!xp5IPVM5!FiD^3;Qy)j6m@rZ?W4W z4~Q+h%M;xZ4s1FrO#){Ep+(xbYRxwf(01L)&^hD*o4bZDYUOT++clqCR~ zJ9?k+d5`5F&!2#=(IBs=(e}<#3;TBsGt4+)oxQo3Se%A)%C;V>Y2SeLI%DwE-nG#H zL0fwdb6bFo*{i9KkJLdw^_*9>Ni4)q+hCn$0fNVY9yw!03lEr}k7k6}AP)a(Z}0FBG7EbLot_FFazp@|mX~ z2Fy9vIJ1O!!}*cSoE1gaItOe+5rQ9XkIp69M28_A^O&W!zVq__Be+W=w|v3SyX>WZjRUZjR=7qjxdNF3=)2BQ5LDp@uYJ>* zkg7KveB~!oUg!+O$AqCaw6`uR3Lc!ue9EhZ=fkcfXFZPbgyiVi>u;|G!J<87f1Gs? zT&uWcB-gw>(B*sJbG~j*O zw;M_qzFv0%<>H-1UuFG4ByQ7B--m(J*OlhJZOJspe&_oOSj)?;z?^bMLB$-4qYgFs^gSgF9W6(eOjfB6l$Hg2WT&Gs5#>E zlwJEc_c;OAO$nxHLrZX!&93(7(L&zRe{L^GF(9$q{suI7UV8Xhc;=nTedzR=kQ2(h z4q*6*TT||m5+Ze_xnPk@s}Kp7*|M#~{%WDzTD@&ra~kNpf{~n-iYC&(|3F#3UI9vG z-qDzJa)Zsn1D)GF82|E{>TDQ%;FQ5Su_>IVW3h`-ek;Ek(C9{NDprbw;i)>i=$%Q> zslO@y{^5Oy%kS3CkuS)6Tfj^Qo9`~{ z^G0~#fX3Hz_;CPzj*1*`pcOz_dqli-n(&@Z`w1QXH>l;1q|et?oXm*u(s)q+m*E7Q zYqU1jsSD4q9NN+EQ@LY)N zpBgKm`)(g~^pq~OzSouTT*|ETg2RtXw9a&FMITS?4UYeA1RM=1h3CuMKyff9JLsVz z2+n#jclueunD<=LcW*l?@9Y<}6pJg6j`77w9-QG=1a%v^Qs{L z6cX0Ns+@2I)!Y6r+v#-R_3-Pvw)*N|6&7n&NaqG`oyrp?RvCd@@9e&77xbvOB{(K{ zA~;Q-ZF_Olfbt(all(Q3FGBpYi9aOa4YJ=)_SeXKHsKv|zediF2p9-JgD;D0X%@YOz zi*^O8guS6v@vitAH7{^mAMZ=C^Z^gWfovvM52~IKee2D5%TiWr@*n*h*!#Cj=6ekM zo>Vnm+mQed3n-7|<>O&Mr{HD3dpuP)@A;It-^Krq=&VbLh41`AELEou%$Z55>BT_g zQ)#9t!z8Nimb-=zUA&M2hgh2I^RFd=vGFByv%NV~eZD#3Jj-<<0Y-0l_)T=g0?~J( z`=wP3&s5(hfVSXSVIG_hYw&Dr`zY4Q($ZqxXMJ(tzqe2!fBPXs`iLE_>(_A&P#}^m zZs13|Jp|D7HI1D#hZbLdAv9(PJ4IQx8_{DNy;xtLT5bWGCkx>5R_sUgPrpL?m`-sX zNm0cpAo|6=mL_ySCK-Nc-uJm$7)9-SNWb&0`X#f)CV!CYa9(3Rd_}8TRklt6(FT=mR`= zZ#l>{XoLOszNQ*O3W!fmuX~T@oPPhcx~)7D0Bozc`I19C;C0u0G*_+%IOV7; zl>$!syDlKIZ{A}FXjLTSTla4j;BKHUn^x{e6JAuw}~&J-W%l3={{smpn&P;-y6sAelwYq zqyZ#cC+GztZA(fcaTF*sniale~V zO}-GgtHC7w{H!0eO^k@>*x{VIuN^0v?_u4Xmynyp{s?Qw_td%%V&9`j79Admen6u& z(^ZG_4KL4}>)} z0#@pCw_k6ggJuamXgKNy6TYXs(|`L@c_G|-`N^9hew6s9R3zPv2Z??#yWlPB0t=l9 z?#a3ape^Nbt7Ac(%1b{EHlrDr1nlpebJiW-1IuhOn)r@$YSm*oJ7~k=Ah0QX;WM7U zw^-r7|2{eb+Oopub2Fl$;Lf++JBOp8d~4>1U#W?ZF8rl~^K1+(K6q~C=O7Ql2?E;3 zah~xXL4L2I)Ch3dG;X=|XEc1SVA}ESRwQVZUDsYq8xOqvn(eDMMZj)_xz^~C7}zoW zq(d@19##vyccek#VDH=b%B(U0_R1VtI8=)J4`I*4uLc2jE@n#~*&t7?lMm6?*u(nN zp}c0(xud4oKcv=UmW6j4%&=eF-FMjr#8(BFv*G+_Qr}(CcHbM4z2J&#zo`Ju7v>N2 zTzfIa7CtdLa`@uho>%$^3Gj%hk%g)3o4GT=>}xy z20B8Wj=)v-LLbPxnGm0;W(Q@BjC$;`K2)3%+!CBh$$zkzl~;taOIZh0o3vq0iStH= zq90tKdr^74N{))RN&46G)_?tArg}c`HMb3%sd=BdYqd433v5;RUL_;(tW;`^o+q z;T{7d*%&2@vVRzDY22Z$~Zy`$4tsT%o^K-GucWq0XZKiPo|o1DsW zwh>%meIO8M;S2ID-eRpZ0k9b2wh~lN0Uy56)<5grKrPX7%oXR1+6FZ5S@qkEs%J#s zqLi4-0`6)5NB_FAtku3`$AR>~UW=ZrB={k7?KkB`JRDZ1yF#xNOVv&9@s^p**uRqK zZ02d@8FS-As!sDJY;^yo84FK7Ud(!F{jcsq=eZ9Q#uT{E?b)d17Z3FN!%tp~X%9HLLO-XZOnY-W zN~73*%NlfmNo@T8z0w)D`N}lTxY)yPkG~csIHwlI4(hI0+5`H_GJQ`)6YMV7tbmd| z(B7VCT+8GFXKpmahAMgh1RN@3D|7{|`J>8V29B^pR_(9Q8#mx+UUE$|i|_gmOz>e4n{z2c&M+xD>_a@A87^onNk<#d&SwBSk-+Z*T>c?OuI5JcLoN z=gtq;&ZVO*+GE@YwCq5YkwM$;nia^jWtZ4UIe=JmbyCSwJO}1(@a)%jS17-8EpwOt zzk7NYMn&9etSC_WP`rGDwJXRtX!u$cdQpAGvy+k*?D70d?UxVJ$8|iRWv*}2ixv-1 z{C#?_9==C2pWMd$0G}7m+`i2ug!gE^Fxy5=HhRNYhqRj|&LKG|9$=k(AD@#-cJbYM z>;-pk(Y!aHbBFV<;`rwna1Mk>N#%?O&I|fRc|B$10S*B>B{cgz!RziSnR2|ZM_yN5 z6TV-1#t&LejGT|Mc>|M$B=LEA>a2ln`-9WEQhd29Nt>W=%|pv5Cqv)UM+ z!#1lhFLj%O!rm7<4zqev>qOh)jrEl(OJH=KEWT#t2@--Qt0bH~fthx{?tXk6IaGO) ztN)2EY_XG^h&J#9hPh3Nns=qZm=ct~v5*36S9bE0E?83Qs)%;z#I>OixEK9&pa=7> zFUzB9w*Y&%8+Tz<)D{~UP76Hk{mdImb0Q|2igEsP+;t(EE$;B3aPC{g16Po|rPAjx z;|0nho>5E^I1g*xp4Phe!N6*AlHu6#VBkE{w!68A4eDlZB$`J#KU ze-}`?g~}K0Y@tms>!+->8I_mzqfYvlyBuIcul(85weFA=%_b#)^AerImptgS9I@Zz zx*M~s6ljpAYc|8?7-4sDK~#J&Ji9s#-=0VM&%vfeWK^<4>(eBw9>}H zF!0tHg4g>OPhh{yi~>FH3HjA-=m1o|WBgwvyLA%z!NW>eqr-Z0xDY<~gx7MZ?md^Njc$>c| zo}V2t2|3*{Rd>UZsslt9h~6omyS>x*qX|_X9#Bpw@`<>@ zaY@5tqZw9EQ0=<)c?ShLUf!(^zR}EZ%xjE6R2JmlsU$Ubsd`ti9N7^?5HEFY4Cgk(alos zzbDe8-GJzpu0*PheB=i<|I`LlH%RNd{-3o2V?qrgeo>E!WI6F8sD z<<@raG*zFII0v7-!+WU?!aPRB+}MZtAAKjfe;?C}0`yVIYS^n*O0*KgVFhKM_C z^BFU;zk%jaV7)prM(-l~9Q;_mc_3%ekA zHcBR>h!cc3XH$>IQ_yfKjg+qKUQ{q*U{$VrDMH6pEUc6>gg6+NyzORGXkhH(vPj+{0)FJ#hUG~sU#31)T zNl{ZBSf8d8KcEDH8-r?Ux@k0we!5Gst@MM<5(Oj0`eE>>>e}%Dt5679PD*1nkA~|; z2L@-vDcCPLAa(Z!D-bo%3_pqeQfiDAIG2P0ocv6Ur@dsT@5_VHJ2hyX0i+DM9(^)t z3z-A^ytv}M!33u6Dy|$nw6`nos z8oAJpTa&wQOF1IiligPbZt^2?-@VtiXY?hXC*)1uIG3`;8~*n(;d3|g{6cc7$+_>f zuePlTpXHF+{XEtiPYrdaE8aPN(2(A9Xk()@kUiV=%w?g|A`y5`&@I4f2jP_Ni52u$AY+QBLenKwkGi>Z=J?n-mIC5$9?034;_2caGJ9qpIo;Z)rYWr~*~vc6#urkAS@ zTkQGL<&#yYb+v(co8a|+OJrfof3u>@0F5fAG*{G_AeF)U#bPo>sC+B1gbHEbhL>q9 zUnjn|1pHms+r7k%OoFblI9;*>@s^VH`x4CIRmGX=^#Kx)k?O7b#@QNal`|E8OIJjF z3$J!oy--KOYVOYk4P?QUU2lqIlO&w_c*5cMPC4kQwoyHzs*QRD0`!)z>7w+6cbk=G(;d+F@ZmGOGc?NMfknQLQArmGcF{*dsUPQwYEx!a>{ zaLxhUSF%Z7tk(juIrEQ!an>l2oxbwqkD-=#yMna3bls8q(BILxB4_l~vzn!@Mh~qy z>2TqZuQ`hT+j!%uCpS1~2Tj)OvO`abQ(EnATA}A65$|@qH$ZxSL{{~`v__6nv0LmN z3{mCizSYSu{Ncr*HOI9OJpXoj?Wc3hK0xYZPo>r+rI18O-Tg^bHQE_IT+z5*ea9R2 zJKVmZi-j4a|pZb22bfR$jfj`d4yfXaqYF~?6fKc~a4`$dz=XEG$lPTn_ zAAO;1xD)XTm@4lI-vysyDGM>pnm~9bJyG`XLMkUBIC`lW_pmI-92opLDfcTERwFvG#_I{OHT9&EED0_bQ8>a0pe;h`#xjnqCM>REPhof1{m7 zu|jkjD7|iNLFcdlTnZ28@le-7Jj;bCubB0yx;b9`N%*e19U?k=+~u&1;!ZO}bb4iS z`^U$2GAQ%wBR)gy?@e^~yZVuq3Qa!rZG(`t`-l?oRr_oWkT0g{a~8{h*u>RcNIfR? zLpUe|czgGnHaP4@0^8;u4(yZ(iO z!=W(9viNpS)xYz}r51%=lGvB+_y^Z564*zP^aWpv0=cvsgCSq=*g`^B2Ku#eIgCj? z3f9}{T`=O00snV8dGuo;5a-6`#>E{0h8aqlLnD!(I?rWbtjeQ-B4AEe05RvU6X^(Th6Kd_Pd|=7_{k31n)QYg&BUKtimDzL?0DooB2Z@$!Jq5F9i6*9@VbEr+Y0CnG1I| z%DXp$=f-NTNS}UONuhoo;b5;L@XD1Lb|P;X)B)RVXJ3al_RYMCaY5)yuIZHVT8)6vZ2*wE(PfW+c+nd7_ovd|ZH=}B`R0|d_3<`v=$zEYr|Wm1 zh4K~G!D9!|tXWo5R4yGd=V{B^a4{LY?YKXR)5k$p&h(UwMhHYt7anP|WPmeLKez1V zv8VcwTzNJTVDASEuD%Cg%!zXFWTrM~Q-jm5Q_PRT7{}2I9(v zzqH&$2`4GJ8i@1go(=K^y3{%`x8Ps10r?Tm05O^WJjU}F&n*SnyuABP6Jlz{tlS%{sC6aBz&l8%VgvMXA*|*D z?r88s&X&k$c<;V;X-)~}G{z*ya_iOdq09aqH$-X75apyn661F>)b`eAQ1~Lg2krZ* z+uWcDAo{a!wTCvEyfnkjebO2%12x5Y;sc@2sJrf9uP$O*;+hs&>{auZ6bbxL&5FLj zb(`H6_CfN3TNTqUC!|$%rywHD3EeiBt7tBvMT8fe=MK)DZ?!~!lhPyoc1WN@J>Av@ zWy)yfId3qfzydu>+S=W`S{o5wa?g9{Ub;OT-U#S5>_~BdJ@;0g@ibe&;Rw94suBRg z^Q}*4@Hq>w?}G>8431DMqxF+fArQ`}u$`&H=aLsp<~QIAQm7Ko3ccBn|GtImbYorh zk(0ctRYJZN9O$@t=gT&HUN3!%vd00>XPq4Q@k-4Z_W$YUqnQeY>-QVy@@iCZ-cN3} z_y)W;!VgU;HJ{QJHc?wcFks2b84M< zMtE)%Zx4Y-$3_Ky)Hp*!QbqmuQfsg=5kKF3jsg~pn%$FLj@0_TOLLTeZ$$uTt9RP{ zVzWT*BFVHxiF)W|EJN)h9b+i!62ljx+K7#LXr1UI0d&rDbw-wsJe7A$?rYb6Tcv>r zj(#@J_y#>PfkTy=#rb+pK$~Y>@b+ zfzrfEnQj$&z^PVg4&Sz2h~UjvjXqi{JP7mjsjaSIVK5fE&dASI4qd1@R}syi219qw z8gIgQE_wa1xH#!ii(T^;aC2JDY0pA3PKOBfJ>WkWJqlq)*MK zB{`fVXNve|6Q5w>e?)v<$R0D{V={+I_?O%xkp7710MP}acbQki4&~ta6QU2?uCw+6 zIgIGVoh_FezMDa*!cB3GCo%A4SWur&BpUdaw}qNUg@9MVl8xu*AjlHeH8zxr1E(i4 zRubQWsCq{9P5w6*pNE?1fAr6v&g{NoS^#JbUObyF6bj5vg~6QMp&Va_ZvUnSf?7zA@jASE~qa)$@+x+%Z$D?2- z_4oR#lV_;x*pFrG&@T134RFyqVGiaOD?p3^ZgzU#|y=K-1i1SJI}GzIeFob zzxRi@m7gC-Y}=URbv+-EJ|e7=m%mzf7pkQM1hIaQM}2P+mejRWuvc5hs5$nFH1m@x#opDM<6{=7Z;Q&(pT=~qY}<6_IWdS8Vn5d8{2x9J`Cfe6?)6*F0BFKa=%@0@^vX4X5OeY=d$+Y0P@MJ+8fpc=I-VAu>c%K2 zw&Wi_`ZpAwMys8aL$MH;a=ZN7nh3~j(3^SX6iL~&#%H1$9n|G{W3W|c&1vBGp zaZy0`ZCh+eyDR*>zrIl!`-0oGal3xm5&$~I)e=K(cJS*!ThFl_zJMg;qJO@Lf>R#f z?}s+}z|}WbU%wZygA6maR?ciE(35!H^JGK@nR^`#np)n0$ouLF_27Rz9ffnf|NnkT z*iJ0o(#8bmWvlJ7dg=~IW!+!JwrYbsi_1CXhj`vW{X=kkSrEKzRWl6vr3h|&to?Up zs-rxUcbZ{lAyBt+C0y-(&Td%6RVpG)q)FNJ)0m^u^&WNxrp z{IY^qSS0k^pJyJ$x=+r3MT*RJOf-4J#z?=40ToXeccfY6a3~14#GZb3ShR!<)8&-}l@-YXPPgQVZ>AQ_&AT=DnXdG~r4;YL3!L1~b+8raX%{ zC=9+jdj{vR)qGM^+?XK`QZG)0EH~Q$@oD4K9=F=t8G?N^`hw1i1;X&EV;b{ImOyeQ zZwM$99Mz451Ns4ixj4Tjo8lK^`pg>C!>6-OV|^Q>Gu6r|#d&royvz&nebLJwwReR7 z_(R`($?WPdoX-_neJ7t@3vRJ8YBY7?&spkpaf+@N$SL|iHq3PZm2NLzi?8lL^X|a& z2}f-RxoJ}Lf*}AHUoGwkp7Nu~oZ*< zoweB>HkJnSc}*w)&EfZ&*RGo)#T=0xrLzJkZSUhBFJCDjmQxz07bUe(RxZ=(Rcmx% z=byA#heLYQx;nXhD|bK|-~avYX?t_R6-Cgxr#`E8MBbAn)fGSOkaVVgiu5)KRB7D6 zsF-rBi?Y}jkx!BJdeX; z{G9t|YX3L?d^hM*-T2$9FcivcHb#8JxnVv2yTsEtyrJ$!9m@uM&X=f4D{Q(o z0GQn-AHTjE1vX(ZQ!$D7T={ac%Y9ol(k)L-05I;k>UP9*|NzN>H>IN}`k`qHAg2<#7e)7dZOdjB{MO914v0 z_ZJ#&_lMeZM}FlGm_w(kyT+gwQ0t_jEr~Jtqz8Do$BZ>9Qh=6+O@HKo4m{zS4)40; z2(pH)cPKY+RQKg!w<~3t9bvMFhv#md(9H`03|4=)A3aq!-$RWBWs-Ra%kY| ztNjP|f_E_6-T(Iw2=5FoaT%20^KgQrrQIVZ3vn*k;6>)3oHpDiDbG62e6_>pNh;BG z$c>6qf?I;qtIK;H*2%84q=Yl$r$}X_p{3fh?>xRQ>kZedGLc6FZz91>$A)SBAoBuk z)!)}-qEQ}#Vx@x!4tvh zHJ!D-&&6>6_b`7Zwme5wSH4rioAEjR)Y-@-XQsFBwvL1XA|Bb{zqiLpYSo^ zS;D`BU&;9q(E*|hMDIj}!;&vE#RJiYs@?^<`xUa_#COvD&a^2!`PQ7v&>9Yd3!B2l z>~NnD+^E=+;tMN}DU~$tJ|OE=d6V8E9Ijl{%Q9v5r|KEex8n1w#_6x?{zw1(IwHPG zZw&`jAIM&k7YWQ2KYrfc8wsT*`(AG~4X5g+Pu!wa2(nnl9(8xV~ zOb2v?WbRm=mx6bC7vm0`+=Zq-u!rrUs3Y1=wf-+&YVcD`glF{rTCfto|6IC@o7%6C zKIT+?MQYmfARziR$)4HdniGTl>wbS8xrgVJ|LJ>3zw=vVRJueG&(Y0M&e}!V!?q~#r-n^ z^al%!*m+{8`p<6Xcq2wL1_E+R%i|5O9{=xaDWz@6Rdv8T9AwnmrJq%vK(ri-*_Qa8 ztX==jyvvh#xHA*<{yfgNM(&2}?D5gi;NAYp^L-@PWy`rdR&$5>!f8xcpGvcs|JkDrwVJ zQzj?W3f648vw=yv9v z%iHfn5IkGIVJ3uP0Si3Y5%cTzA{zG1Y!}A@!DW4zs#=F0)jwg;?}uiMH@+ukz8!Dw z?FHoLlKH@kIkv;LLXp%x!bG*6LmA^yV33xr6@od+`#4Zd-PD;Un(IZk}73xEsP zqj&$D^#@h^RZA{H&T!$^XlN4R4Ot zE9tWb`m9S8l;=tCf#T9@DT4i;)Xk?7u;%2 zqTt`>{r8%bssUeUJH94?{aysDh+cW5Dia0PGNybDGB(h>@bnf=yaV;N^=`X#g5mbi z@~g9MKJX&0?^0MwFl2059i>ul2VTo}ddq1eK)RUk`tF_K)Yskn@}|Z<)eFv9Z~vPj z?+t?Du^G!hqoC6v`?3ShGb}i7%QE&Y8WtW7zB#@r0nQm*V;O z(S)v2tGmiQ#&~|xhfWyR+mGJsid#!1sC8xgpzNu%XE@~Sdbcp=;)Zw)@-LTFx}xKC zeTvQ398ldheJ`0QoXe+??-qyszIU%$R#vN1MrYaMSzd>@fqnOV4ci_kIKHYQ>Nnoc z8B|W-^)3tpvH1R9wjD8$Z~MtlFEdR(9I^w$zZxgZac&@_RoL+A zI3PpY?|S|5hDcWD&a0zZCRAQ%Ut;}Ksc(S<_`-&^_v}MWl_G3aG^S9#Q8T*BMgaxy zik!qDH@WF&2aCu_6HV~*_YZzIEQ(oe&qVFXjn37 zq}iPm2#qN}Q`Q$mgJ&E2h?H^!Je~Q`Y{5+dL4~V#6eMk^bprFATZ*xcsc1dD=Xk>p zN}e&ji`Z@taXEL~dtdm%!}OlitXtmH`mWS`JDj;H5)Nt0_APYE7ZMcx4EnzPXd33!D1b<;J|n>=Jj2ynbLs>9v3e)W_^ebOVQYI*bC=7JUcnhfaezL zncgR^a;D;z;F#cv;Pk`1YUplhyr1!Z@J#rR@S=DjqjEB>3%;iuUZuAI=lEU%nHnw<}db?D$ z3F`>aGoo)SEA~=5@bCA3^^d>yrS%%@Q+!rM^$O#zIB?f`Z(edE2F~yN^>I&gC{;HT zf2*_}zK!oY{?S>tLmIx$1~F8fzM>`i=n6v=l&)b;k~EH|>aKqsjBYs=50{iSF|^W0 z!hqI3gVEwLsy?%b7u?G#j)Bax4BPm8s6=p{t(rcQ_FJ+L>J^mV@_SKbh=W78Z;G z()W;lhefHD{wC(JSABuf{<;>xdo}3GRUJ!UFW~6gbkY*V=h#=$GrGdx7{}D}_LiWK z$eugBXaS0hcfa)A#&g{5?>6#X6hcAg{|;nt4h3{P(BgrjKU6)Ib`Nq6gNL;0y#spq zKI?dtz*C%eM(QOk#lPD-HX0uD-iSBH=SxKYSH_FIDr*zL#OI-M4LyCK>-@N0N6@du&usbD`!y*)Pg94RPlr2r@l zYG!zJ3i}D=Yl=O=x*OXhqGQ6Ni8S4IX0wh-BJ#e-a{@V6{aal>yeZrWeyMofe0#tX zrbct8aJ({b+m+RM*Tq0@$5nHdhoMkk!g`L^5Z_;ZKHT&w#uzmz^+p|T2?L+^CEaN+ zED`bBXkO{gdAi^ZN)dDSu3mGbeja3hLUc>f`M!iGAbY1js_1SgY>0)iE{!s|M>x;> zpZP()pn#yq2mK&IQ)80^-v1r$TxMQ{`*nv{zTu?Dws7lcSk8K!*Ij2dHX>0F3~@vK z{GUSOVIoZB@EW}5=J7UW+Z}dG)Uru^;~LpeAa&E5OJDE^^StTb$?KWyj=;eGreQVS zvs2jPq8>kIjq}8NPj@`nkG#%@YWvok!i6|5u{T`@K$Q8_E|rjENGzd0mU;!})PFay zN>xzAb-QgO%EAeV&;O}OrL)%5>cMzN~?3TTF+ygRiXwgb{hC=f(HepSi zD>Hpu!jAuf0c0FHm(p|4185#ft;@mZ6Qzy2%I5GnWW}rU(G9%bK+7gt+1P0SIi=?G z4xu5C|6)zGo+9p_{&`)%aaGlgHqMYK!#kn;+ZGzaUbPzON5I60k=(j$oTuC23isF} zp(Ue?mG^fnh#r6Lr>ANR#yus*MS*OHhxf_oP^>+*PK@p6<^MkML_wb!6X@iyPpFhm zD6Nnj6s!HX+Hl7T&9htF2;~w(w+=H{D(=xiqLZeZ#YYTLqAYi)){F*FHWkPIzGphv$0~xe)1~iY6Iw`eocF`*f;b|)#Cd&Pxc-qiNH7YGEyBJn ze2?D+P2l--6}r9*sKfrNHn&H>uwaDLwho#dWR8YrY8MBgai8T(_MmWTtK1MS2td|n|G+&mhR4t>RWIRTOl z>fX`t&}H1pX3_;rO3&(f)&xPBo}ZBco-5JqtV(e=@Po4_#bxx(a6ZzVx4aCvUpv|s zkvGn13ZK#g7-&w&QtRZEXvR}keNPZtzmazB3!DqS%1fC7wC@)ANz*) zB1wHmb&VP>2H|=9P2AdFciN+`8j9_I@cHu(iu$JA`whYT#;UHHyavc{T2FP$eo1H% zzO*+V`=7bf=4of%A=RSDfwJ70Sh7lroE9JTwb;>gkC|PqewDW#Y z?W%EHDfg$Eoz?t_V=2=u#$R(iJp-K~L9F5+Yl$>WO35VBJ_0Ik362S#2;P+2)QW#* zy8Q>wg#QRHPQCdZb~f1z3>MNTPP@4f;SK%(>CN$8)V+6P_jf zOZb&KfAr7&8qo!!cZRRpT8#E$U%G$v;YsmvNykPxIBuf5S9;V8dS)z-J7{44z3}|% zwj0{cfJ4U-=2c5 zTh4O0uV31AxyU3Q)YT+HnZ@GZVv^v#^TSb8-8_2PQpz|#42aH}FP?jz6ohl5{?X~O z2KTKaFY)uZ_CnIbR=l_VkM1r$da|doJQ14Kbw2W9P5_bp`#HP?3#t12q+NO6QM}*& zx|eG?#w8Yrz7yS#;_;H44~mD@o9Kk9aun2@(<;fciU-ao9Jg5TIn(mvw2QZA3lQle zIF-Aqw__Y7^bBfFvPuKc=((hch@y9c^K;u4v=D7a#KV>iI#9WG>}WOPHjwaq_VenR z-PC@C^f6ht`nbE#h5^y92FViPxtv6hV9~irb1N7~-$VMHfRTYX3qeCjs{U-zd0G=z zNArIE{!s<&{-ky6JgE-C0`sp9`OAg z-8M9`hpPW|5v|$>*INSQ^DgOV8&LZZ`kg=3Y_)jN!zPgi(i%cQ)|)Si7qB0WX3{EwYuKkiv7TZz?GHzo z8Z5dD!r{jiosXg~LvgNE+T?S5&$Pz(lmwHF2b6BeSlr~}2yQf*j|^Ddz(H2nHRhQy z3`dXGIenN=BYhG%Mm^w2js`f*zTS(`4aIO_~zoI1m<$RvA6;xgp?se^PgQoWn z@>dO7qtgirhTlJ{0PDV|?1w+$97X!iDcZuJ@F6GfOHj1|pu0JnSw4near>O;LpkE8C_ zC(KuJun&XT+~XZM$0GP4XGnmk8Kl&G-cWHM1Y}c%?3gFCAcU5dP6PYJk{qOXe}x@a zT_W%vO;3r&N(9)HDqTETj{8R5*%!CDa9^%)d5x7)Gz{_8t~!nT@T00-Txn1-yO~M|GrPjND-ovotcrn z<+k_Ud+)vX&P+;XOA*;CQBir25F#T95i%O0DKvi1@8|b^zCP!C-u~&-InUGUyxiAy z-OtD4zOQT0Gx|c`izqn4wDB-4Q5$&coR_5C4x_Ao&*B4oCWJcq@!ha=cv%|_#A*qr z7I{N)amN73v^kKwHXRjGWJ(@%?7U9TIbwMn2;5OpqoO%fSyMCVJaIl{T)e@o&xf>%@6iEXcBmV z{!queL^BDbk;wDPFM%1Ag-p1f7LbO;%hb11J&(e2%SOu%nGk`Ok}1wIvPB$%*c-+q zv>BR6Sy?8srB@T3{zw)%{TMs1%Iu22n2Y5S7nTOURZ&6B_hZS)Tg?&G=$B$7Xo!AN zjdHc58Uy1gzfZ7hfVcvCLYsPJ;o`P`oyedSI(tIs7vHccQeb)Hk;P1lCf)R+KusD^ z`;ZGKK2?QAOCp=+3(~0b&T{b(Hb4Kckb(U@2|JXh4oqjYY9YUlGjqEi{wh)}jD>P* z_`-Vp{D3fqU;pQq*4)~?2z7E>%uQ_;xuKfw8Bt7puey0Xeoi-jH@W z>a_PCZ$f?VdvYaFcGCxxI$bLPo6oM+I@vc7ss({AEmNP%)b_0aE^gIYS z#c_+{l;_?@t`}FVVAw0nZvSh{?}=@1Y*CgMwB65`f2!d~z?*>K0^_Mafxta|Ilmk8 zS)70I{bqcB2iE~y7jV79`y*T*DnIPy{AHsLx)WXDX?(U&TT@tNXA=&G zqQAt?VDHOa?uWfon*Bi7#95=`CzeN?)|y>a5eGUar_cUy3MA+mu5YKR?!I$;uLA$8 ze;S)4)Pf`&=-Phk1zSE7})tBn)K)iV9=*rI&mkybBdBBk1!fpUJ~l zT7}_6U#44{$5Fub9oPNeGWpl<2be>J^-4|t8x6R)N4#mH+8D0!RwYz7$)am_H_mCc zmlFC2&Cm=c##t>8?-Popp_hd6?kPRl32C6=(Tn(9Bnz9-p_(O>4?6G7&+@ysDuM-X zu9l|WafJ6Pcpu|z@X*7uND|@twYc`9p^HTkhUGhMMw4(6`X0RBsg^$&U|;S4&3CwK z1-v}LVviA*R+TrDUwQhl;b0)hHJzBGTJZ;isXxmXHvB88r}lMS6gU%9vba_t$U|L*i! zLyZZ1qZ;3~>ahkI-9x-)s<^0(f&zZtYFJ4WtM8N-sK5q5BcHn|t1O4OJ? zNOWYvwGCU$XT;&i8)grH=k9yNl03mRShCH-1KhVvQ8{PML)8Mdvg@}86~kdg(?h2K$05Z^d6gQ_EYWA41a^2;}De}94FBMwLL3BC0q`03JoOi%eX>sw8{~| zFhBIfySy?Z$PnCx3c>LsJdK(_7AM+GoRNx{ z$<7}SIPMAtzk6k8s7g9l)5?-Ar0Tz0fuksT>#ICyi}j7 zcCKyZdMOb%iak+Ct?h@1JxhpV)qn5 z^s2Gk?CzkryCZ6zfX(+bX0gR%=L$?coZTws4sxx_I)H+asd7*~Hd5Q^(>o6%Rh z!GVI#JKfm+z@imITzACw;m)|`^rV@AtEo?@`95#ZxZBkEdC3BFuyApIGe^R6)emTT zyiWwfGT+Vf_bDA=F@#k7x2^_citexs5NkkHRL05;4;`4kcg48WN&;onhXxe-yTJnS zQ1dx!%#Y(+zjRNyH=#}zd;~Wlls&=y#6gYj6({&KD~4`henXU5V}oYXHZWF^Y$tui z81A20v#7E5hni1+-zt(A!|Sl(e(KL|a8Z%>cU+nqp{@d)VuEKezm$?tQwsrXe#fAq z^3Qt{ADGh_s(7*=J4d9Vy<2qF2V7?pi-NH8V3JIeWTlh7U>unFs_2OWtUk9f%%1T9 z#+7~I%UIs0>iSC7AU2meE<0>fcqSCuh4c!w*VJG>*-+uyJ|`|J~$h%=;Ga_`F? z)CH0|BV{QFy9ajDB)Lh4&GU`ztNDcG`{KNy#(XO$#K#)4J?{5WUKIydc224cdk--9 zSuoyD zgzcAQZbmPy!Ii4DHjcp>@cIs@W_DAtHH3E_cb-}1VRNp{ zEs=b)e%StHz)Jn7Cmgr1Mn6xuzzCg!;0s4@kYn8)XcG1$@J{TJ=w!|*Y=8D2965g1 zZ&Iam1pRL2!Z3`VDOftTDi$0=LrvvrDPD;RN^ zRjJ&MbY09xaj?FMp}~WITO7wYo^YH#?b1%5mUI0Vo^k%edGRKvb5?l|b`L%|8e2E# zLf{P!h}~*(}vB@1)dGg(gfbY^Vjfv5uA^4p2hhW=U04x4c7r&7jV79 z&yR3@I566nB#7akF3Boy^u8h7UOnUGbe;sUJa*Z2rei}LQ$^pnnVF&KvF$6iF>RP) z+K_e3JBAMZ;xj+bp$)j6;rd3$xpVMAH2c5w?|yzB)9johyo;zCUe$C3YntojW{iHyP=qWc$RvG0z^1&n9K zAC~r*0I~nsPjg3gK=#^`ix~=1AP1$T=j>TAAFRegh9-6m?>JZzM~m?LSlh7`FS83bZT!UFg|@{q_e>i7<{WUzleB32%SldLW(ociW<2YVtzU5DRo|n*{&d3Mfvp9 zSAGh5+;G~j;r^=lFr<#aJWBd+O72mJrL?}q!6#q)M=#+S$wd|icggltaf z$^)%AgL>1P8Nr|9B`N7$3l%d^Yif-qv9^XERA-a2qvcWWME}URq87Z;`a?Bw#Q?k? zD3u=ZcL6e;?xnUTMi3rKFm;7Y^p z0W(m!>|->F?Qh&OX4!Guu|tDW3i2W;nW$C&;N!z%2Jn4?DL5xc3xuN&x;>It!~Bp> zv{xL&{Fl_TiEK7hLFgny`M9(VAxFDNq^Diqz!MgBW!WFExr4d`Ph(WS9hCL%-r}5a z1{I2ykl}DoIM-I}LZ*pbaMrtKF^ZbNh)?m=*$`)#)itpdOLPW%SBDnKG` z;sVq>A)h&i-QYspJU;2uTt zTKJ?9q&9UPB`I--^X%OYE2%Do=O`wuuj`SR!YvV?=g0P{9Vh!HawVD0vKMjK5 z9R-p7R46!1wIj+}43tRk-wSQxKvPhF@&hgB+;KA>4D<4lEG#SbqI0|9zL`!F}t>mB+37QT1b%%@glWLj~=@66*p@(0n7m_0dHO zZt471@(?xzdeIAlL@)K=V8aVo4>Euc(?>(hv3)|iJoOI=^HM-GpUdN3WC}~tWFkNr0V7 zAAWG%Ot6F5$@^xX}5@)IWF zpZP)#x%J^dJAI&IyS;Ey+626%tf>F?T0`UUg3&h}Ch&BB`>FUGI|6QT9OHPxaVnD} z*F3Tp^MU#wJmdU_^P+i4leQ?mIW$sDvcyj83V_@#*5i-!FB9~6!mn4G*;X4q z5+CC(h%p3Q-*Mg7yJ~oF2y9?LYEg!G#uS|FCK}(?V7_I>`ac>d^uVm(?PV{Y%Y;6H zs~bIkJZlQ0w`4fYHMQW*BuCvBQVG!YRANi3lLsCx9pc0>V#G_$?%Tqx4NeBi7p(rW zBD`P0`*X;56?XiRdUENM!s;?&;~m%-?D8<2}XX5Q8ELnPG}4aWQQaoz*t8rOys8-!spe>mX9CkY|#LU z9n-k>7yr$7vuJ%{{ce9S$n^|VoR{@Qcs~;O@z%AR1R@xfbAlV>eJ7NAY9%a{(Ft)E+#}g=a6x$9j{y7iiNn!h@bQINZuwRi;NJ)C-+BPl z+4suu6MXM;c9`hZ%&j16JS<5l)|TL3mOL}Ky_IYQCu@ur%&@(MKmMw#YCmnz%inFE zmN^Yku%6>^e+PCxQeCjwOr8Rzt#KuDzFt6|O~M@@M+HZ}I~j-voJYLHYQ!AAfq>Ud zV|7b~378;5uJDc;Lq|CO{x74J|8eB-d79X@ED^;&wO#Zuzk!%)uSBddGeY~d`4nZ{ zc%XO48B9Nh?PU*T&nL_#LtI$Dhkc+r+H3JRQVg5B{h)UKS>S9O1P}J{PmyH+pV}Y3 zBODpfr=Dkjt;PfEFTx&(l_i6V{)O{jI4(e!v#a-6Y_`6NkL{EGKkP{jZFT1v~OeqCB!% zY=X+-J6gwo+aNRT5O>2RF*v>Nx=MStE1|C3AGO(1^9P_-^#GQAMIk7J?4rWVnP9Z` z_HakrAeIAsjPV}q)5Xq-WWwt6osgRR)29jQSYGq1Z#Ml4K9FS_X)|GB2+!DVjVz=a zp`H(d8v`PNNW5K~^!cnJx^S@U6xo11vZb&ICibR;hifFqJylKsrTW)fd;Coy!)wXU z!^1Izu?F+YPJ_bpdU5c-{We(8oQ zn*Cb**3K8p|NDoRLhiM`|GL)_M#eb)iduRiE}4{=DE>WtxV0&sT{dcqJRM8tNc^4T5a|D*?$7*>P z^2$@!TTbyo^VI4Eq&g;ux5!&5;-U-Et!|Nf0Cupf*yuVZ5Q56=-Xxtr3BGmV;xoJSfR3fkl-!NvWK|h%k3B1!)XXtaY-WCyX#GXhUiOm&G zf2O*&IfMD(Pj;!PYlXwWM6rqFTnGWDIBs#AhIycKvDp6YtCZRw?4K>sqNGjj!>9LFQ zl}GB+W$G}vm!qPy*qZ^vG)B#(H$PqT zf^Jr9Wog>BxgcC;`;@I;)*r(3{2!gJ*ekLfDyI#Dd(r7@V?hMnWtIN^e6-R9S}2O= z57`G|@7Ibtqwkvu`Yd*kM4D*D0qjoGJrG?n1YF;7-4B>fVP)#}2O1yRg!7nh=>_I{ z$mhHtHm8(AQs$$BltSJH-ul`^=pz<#r|SMv8KV1=E}xodZIR7*N9UO}Yt$6Xw4@W} zjPx9iT=Nq&MMEnTe0+}9=v6sa&nZ((XaDI}@IFTWuJ-x2=_Ux*ulzull8_`PU`{Iz zab$NT^gVdLQ@BO1s1%QyT-UX`Y>xJ0gU8)91P9Sgi`MMhlxG5Q0d|w90?NX5! zj{;i0&@CduCJf!#J;jqLfoPxB`tA2k_DH^VJ7jds0QKBGM?reW8`X^^9P#8bMywxr z#QR6XA%5*F&1jz#!sq!ze)YBcVEIK4Ms^u3-?|d?|J<DY9dM zkYXDi@6Z_!>xdZ8!@1xD7&&>F%c-X*FxC*v%s=hr;r5m zIcj_;o6pMQ1dC_GUe+jh!U0WgpBw{eR4%MoNPN+p@VW3kPTcnbzh7o&kknwih2?_S zAF&;cv;em2@o#Qbn}M=$L&#}$1H^uFSZ@;BkDluxIt?TTImAnU0?uWhi!Eu%El|L?TRjQ7Q;@ ztDuqrvdVL=p0FxgeNhCPH)P_@lHfL1wt;}ISLksC(m+|+p{M`hf*tsL~ zK5*yWpUl?^g3#RlLci~|G16T6*5@!Cgv?E3s%h-qP&!3-OxFbsv`Cg~MfV-iZqL2A0(B#F?8n#7V)+he>CXP~3ym6x_nt6U3YNR= zqQ(-k6&4KCM9h&t|y@|!|~dB ziY=5--={+?bx6*{!p;1zcGr5HkZkerr|6INNQ?YhdXR=bcwRKpTF3HBZKo^tMq!SEuuwXhn?A;fWt z;}*xM`p}u&xPBwJd0)1iy~rHtk{=auS_^^T54@@Z`;-ZIBb)J~rgX+y+fWyKS4;>G%Ib=!KpG%f2jQAt0%y216)r}38*Cb0smy4s_cCM6r=7n^Ru>&&_`(P zRp#Im(nYb1ss-0?TOzY|tB|QtGo(9V+V|*)BMLFBG-%A#K^fPJ+*JK7kkqSo^{Y*K z2=7<$KIYuZP3z6KY6#b_b40JGmg?Mqx>ud1Z^ePo_u&1GfU@|_)=YhHVx&AYBPWVn zN}|n^nUv9CeSwZBEi2TQFdf!;L=i04HfghXZ?G=K8o&9K8B=rMMnuU~D7sP^8NowN>sVQT6;kxWH|?>l~NkK>Ky!_LLj z+u!(p`)_WE9HV^^--;KA$@^zlyt5Fvit^jFM`y9_&jt`h%M zBYYXl8JU+lS$hyLU-9`47c3vet>_6^%9I0{jK;^1V)GKDa*Hkb7QlI~MeF&dGK5IB3$pp?BkqmQ zZ24bR(IcCdpJP2nC?G_{;rB~Jq};Q+w7KxgRv)ueg}NV?qmM(zwaPlf6;iz6s{Gr?(z?NfNNG# zG-HYZic6Td<|8GCNW5c=0x%yF-wP3T>vU0YGcq$W0h{+8VLZoTki!FA;bpBH##sJH z0wh=JxC34{sSC{_MumWUu6oy0dRc(h=TM5M+3il3Mjx=a0@?cCa1YEc;0f{X zC%0)6z{TuKKY3gN_>W7k*J0;gLVg!L7MdbqBPdRtVe1Se^d5JiS%}5<;f8}}u)Trf zj2h1HCIDXOT|VYq5e9OyJ*|#3-e4Y?UbKSYdFRh)`jA-&6pd|Jp65|QjZ!zZLYv$` z^udkxUu>>WFmT4L$`HF(>zrV;_!R~LZS)+eCl8_ZJ=S02lcPcPkMTkSeJJ41nOOc* z`ZTMJX8thEyC;SLPpVhnoKGUO{^gZe6;FlC98NwZtRMHflA^NNl?pST>4!hj3PRDF z@aSC{L&PR!nBGVMggP+}bDyyVUnF?Q?nve{e`wEe*rHgGf&D>RBz}uV$mX+CPM;MK zLR6NLkLFa+ciMTg-<^8sF@s+qPqjQKFpgc4p|T{@mFH>40MS_|r2Ka;n+BUZ3LpG2 z<0a;Xp3l5!7Ho7uNeZ7;>ao2iYPBcxd-fP3-gesUufk?XEgEOiN-;OriJPhj9uEJaIjL;u?q1+0;qwtxYHvQEwGmssjOqIN* z0;(?ODw8ywkQ=il?c_686y{s``_Y&(!g+y{$oHNpxh-mc(s%5nwG=w=gS2+fkQyRi zcrXDm=E$~vN>GAQoxn>~DfSF*w~Qh9xlYi|m_3r#NZ2YGbVuLEJ4_@abrH?e=ZxmZ z4NwR1DGCy98}wsrV_#FU9twNZeAaK)9tFglbGxOF&CPsL);RY?9;qhYV7i*8jw&}j z-&JjSquCv2yUkIfHipxCl5zq` zq!7*@XP#obQhPBhI%qQ!a6ZQKX>tC= z`4#ui#&rPK1zhj&{WV-4@cASBehoiA!uz8m^cn=+ zvm&f|1s@2z^9I&;`%VpQq8c{hg7_hYe6#?9N4TH7&$#(kpcEr!i7o zuKQL_tc>uE^xaexYW!<1?AMS)Qs;#_PRW{rWBc`U{f!#1 zn@5zvrza21AGzvNXY5gOoS#l611GX9YhJthYCqDE<0hHX_d@qy$eo(nwMCkH4ja~8 z^?{gEjo-F*nFxLmnP;b7qog zum;?fynjjV)Mcb{@Xc90Y`!?QE##Cx7dEG|@Sx4PQ45lpPCsF%vH{Ks$Gri2+#s+d zU8DU^D15k4ZB#Fm1T~&%C(U%jz$sfd=tNE=L}+oy(KM&Aeo=2_(8|_tOs? zNrvX$D!Bmnfz`fa@}4jfKzrVMRR<2931Ip7K!WhOa33(-Hx=Jcu$%17Oi2rclB|<| zFPdRzK#SHLaubGuQf+usRf)fH+}ks z8k@KOCm%?5Yu`1NU3;+4leqrulQ+D9&V*K8L-h6;`SF7}($N05e?=qH4w8>EQLeK^ z!S6`o-?My}pGr%}`!Cqu%&`=<5hLMrB*ZWBe8}D%@VfavXJ|}f$P3Gi*`e~ij!;2- zwqL721tg7G$YYm7QHN6aa@XHtB(bais67LlyDn~Dh!+Y5TMFXW)T>@_B9?8@%r_E% z>ZAOUyDU6UJ3aBH&l8lkyN>Ta6$(Ln?VU9xwbQG)e;11Go&R?ZiR!hUkA_M)&O|+u+x09 zJQ&!07&;>2LqS_r&$`M}7U*+B?|wVt4cd_nboy^Rz%r4cYHz702y!J|80ZLxURNu} zJ!YD4-t)_wf|D`O@1(l;)GLheTvn_K@w$!#tY|k&v<63jTh*4zN%}+>xFq8fz?uph zQU)3nyoqpL?buhV7iWN8QFT%!+YpWuiAoh5bBE9b&8GQs2u8ich`w#p9$K{N<7q}Xodnkm`d2+n4`C^75LNj9l)%rM69j# z2vmL9U18WoYF9m^@I8AQc^FCt<-|m>s zNYCq`lRpnJnH@JlMe@DearVL}Wu(HTC!ZDll(u&L8>@kYJLye#M%7Vk8(q_>93yng zR4MO^l^bN&{)icN<3JL5_k%T<_~BW71OGd6XQZ*<97!o-foeZc6wQQ-L;CzO%oHdf zm9I);ao8TlvWGNcxU{v}dqEClBYR#8ZEGU7ARTgHc^L?qR%txc z6$WD+tqgZCKk5fH39ajxZz^6V+j3mW=i5`@Z>RsIg=jB$f6sz98{3-+4oK_mRlxj) z8V|at4h9kGTl$M`E|*&vh<&JpFsaSXgWk!Ff@Az3ki4ln``I4LYj39k)8pu&2P95pLuU+ls5@=0*B;f7HC%(n`XOXaa;K;YW z=Sg5%wy)`Ng(@gU6+F8j=>)SE?j-!c&WC5O9IE60WCG+x*Ge2OyAW`T;~2*ij??ZZ z*;95Sj{m|l&VM*BW~Lo0^pLj$8+&`rTUH_j-uO`adEz2}5LnaZCRhq3!m~F@{o*?j z1m5v1(Qq4IOabZm<6l0!N(Y>edt}-LUn{y1@@a8?#q&jQ9l&(~_dmk-`*D51=dme3bT&@)`$3cUN?*t|6Sm;PM}=zido zt_o+JgCH!|2F^#{SaJ#12F>Eb&}F4Y(9QQ$4C20b)ex?;A*{iniPM6B>onK!&ALd8 zuOgiE47)YN`2-LHLnNc^7zQ{ytc;b{{6epA#M=gdTw`y>oDj{r>ZM$RTKIMdvz)j zg?kD>S@P`TsTn3jeunxcQw%c*`aHb5@qz~p^n3F2TeBdZapfDwa_QlG$-37&HwlFI zD|jEnvAf-VJXWU@*RRuD6z{^EoPciHq2wbcH{g8_-tTaX8}@cyD>9)-GF)WN7t8a0q5mLb#nvC;ep&8=$JSV%8>4>y zAd-PvLxTRlscMs0f8hgxB0CxtJ&}ZdWPqH`*Fw}0IYjOhRTEdC;Z0S)SNmPS@xsp+ zWEZi0cN=@|Pit04NwqCq_q9G4M#LVSu)uPP$bQk<@20`4S1Am^JQsoXuiDwZm@{z7 z(e#CAL^=d~^fpc$&VY9NZjzVQ2nK7gI$pm zy*eVI%C51brbsz5SX#5H-e` z1o4|#Ba#sQBd@7FP<4yjZN1mQi0Ym1uI-2i^3mEknVftc*q#lLWK?0k7mkwybDv@e z-xHo6y`OZQb8mtva-xX#bTsh*ac9aVQU+d#OW)>eX8mt|BFFlXtW(m)klbPW+U7jw zLq+}Q$O20c+M`>W@`lk7T`2kG+wsW`__LSm$w$+n&e1xd-V@8IW{C;)%uq&;bKhiF zoGL=CKAy*NZv+BfH$S+GpKio@qmSo)7sg4rfN0<4Vv>Ct=odflLFd*C^y1Qc{eug) z5ZTicj(h2)pj2mH7Y|>?RR`N5Bd#gt`w7GWB!`g z$f`vxK;a&d=*b5$@RK}_)IBT(+ux#wO1UsNU`un1k2L{EURpCSjU<7)?e4?UI49KV z*2A$v8Vs7BmqIG%|Igp*N^z}a5b#sUlAq*AgT1wPM$#lSky)0#%p1u}pdM&2WwuKO z{JC%Msa5H*bJTYSH;hWnQein&dA4HvJaDiDm%r>R0F9jSS;^rXFjuu5E)XpM?!z_% zb0?MItJf;4{Guc3@xfd!xPVY6jRGDQjtfL1H_{L_%}22io{(^R`il(METK1(w5}*? z+;Yn5>o>)}Z=L9McTLdcOI&?*5st`kDz|+kf*DSGNwwNA{I{;=&V;dR7)K(C=C-?x zGZE;4&qdop6poA>I~sf!Ls9g%eRtGFu{_*N??2sl+|Y@MK*|+PZzN{Q^()E8A8LO( z(&=ceyAkOy1Ok0wMs!X zVlnq@wuinQ{TwZ$U?i*aVW^ER3Y}fOO)PcA4dJ}7K=Df468uosbgmVrkq+{DcVX^9 zj15{&;&a=Q@kIPkWmxH8M&PCO#DWdX{2OxTJyu$4uz4#6lV^+J3CL5owA+I=7!`RL z|M9N(L*-?$`Mz<%NJwT&uPGu3jeM18t27Tq;!5_pTFZ|%(9q&)XQaqLKbs$ zz+)ol8BYRwz40tHmpTm1GJ3IoNb^8@E-t%w6b7QQsZ+ONTrr*Zw94D2jYiL1f>skH zLXe0`zBL*d~!A@U1>e5)8SYw#?K|BGfn6^Atw4uv7?n;U^b& z!X4eweEK=Z(H;4VE+c4pGAb-V{y)=H1lBj?Q9;72~`mUoZ`5}acV2yyfA?6g%a`feI^xl zLI!p#+4tGwprmGR@`nL?0^WM4N+Sghr^1j4r)YXbF5KH9ZKG4f`pWq?`EKMM@a^ue z%!+Sr5UnvMrE^{xmP;!uC@Z}QxW#dd;|a%Gt(~)%4wjeqzj(&^59h@J37_8=JuPAI zO1Olc66Q1i4{zjH`0OrV{(B1dvR~;g=fJb~NB7RjrxSQ*HHf>cKsq1h#Phw&JBtD5 zW1MGk{>AfY@%%Mh2XI}$^$zzx!u0{)U&H6K@%bbCehoiA!uz9__ooZWVv3-tG=`K_ zIFq1fxV|;U?NO)ti0w`OkN&Mco(+DJr-5uKE$`_vn8D@uM)rBt$52*%)*X{>V}$GG zsjSE0hDjj^*V$>x$BoY}`XOAW?Z30iR^F09e?M8jD(Uhk=Reh{^(S{jxy%wQ%rR4 zmnQ@tCt??Fa!15FH-grW-zD@BXUo#R9YxlNX8vvriJTi!J-^(4($fWjOjsJNu@`z0 zA$Lw|$px{;uDCqeazgQ0hh$%2^9Ojpg7-0b*ZQY~=G_slU#?1(JqOycxt%jiyzy*7 zguVywcc!l-Bu^q^kkd^qG7Menq%aQBF@3{_D%|;AY3ZAxxbSs<0dXB@b`827(Zhfw z`=2yvB>e6)`PFjk<)ACd&$Y9P>NY{w*E1WR|-4(Q8Qb{!xjtm-gU&E@g1u$rdJM>fTUv@*{F_FXARS3wXOT~}8XI0f>4s>`D)-#vt{pnU507VR zO;BH@myXTJBq%2T$)mVG2)@PNja6C*1pNE3@OdP(XV(e41l#{mT^ztg=0zs819nd& zs!)0no43WL*=h8n90~c-nX+bQavs<~oTQS6Id;BB^kkW_=z%4w<*b@q4*3`8(*CWtL`B2u1uB#}Gte&OH#Tas0ExYz82f~5BpHsWA z{d}=iek8R&7HpaxJ#W6pjL5k5DorqW0b^(AyF~T~csD-$)lex3BE9J|o;4(benjo3 zPHYc!e`fVk|Klj|dLnyFLOB(h`JcI#$0R_oxAd!DSpG*N*-Oj4Y#|{3tBRfFc{n&~ z|BhG9@P!`TG4CrE!@zgizxHcLBwYBOdO6mAF9cq(ai8CV!#MihqgcF{#j_nnxJ4ge2B+LJ7Q%6FQzIFlg zToN4X{nMwOnGUYMRdN;uli>ESrI5$9G|1#Qt=U~_0_i3U!zw9iX#K^5%;W90ggV*W zPT-tea77)ALAvROg22~IQ(*A2F&w5Ee&{7)jYjmll+11lfl`A_Alr^8B(oJn5^SD8G83#>Fni2yqX@_@VBGovSPQ$v_;Q zgXLrJcx806%^4ySt4)o;cgCnR`7GZJ%#WWaHJV*6(h?5tl$ENDi9o%3DvR@8BeZ@! ze8&74wm;Tb*E*hHj-;5rL^}g`0>TWT~FN!d~6zd*&Lmb(3Mab#x)mI zyY=^8i{@#B^8&Tv?J7@WJ9JAe{PCE$GU8ia_jp)E25dyf&y_|RBji1|%XCwKz)R%N zc6QPY%a@BLwRlN+3>_RO@p&}(j#GT-a5O@9$7&wEAk{-!O~f1Oi-z!W53i61 zg8}LuIca0G#t8~D60TO-#suCGyyV#Iqoa#(9R13=c*l3j6pA9d(476iOSCyDrc zREYwE!nJ)Ls8Yb2(|g6TQwjVNQ+#Ou*n&WvTjD``SLm^p)jZo}3{F3y%gS!J5pav+ z7{?Qi)15jkMpY~~=YR2x^B>NOmg5qh1K+Jd(9E`qgISKi8{JK7rk5Q8VQOH6Lx&*= z9ETHzAUuk|JH@^(#_pr3KtuM_e2G5`a6ZO)7Uy3L){ka94;=u{r^R&u*9BbfaDPZ# zAMpKte18p}&&KDE@cT9V{0Q%l^iCxgB+|wc^bFTG{x?6yHL<<%|J6U{J`UdWyCzVd zL3)M#sS8y4{)o55_FgHEmAmh==0mt{=DpNb)vq^1xX!-%oXr@(AP%@rYfwE|x=vvN zEo@nxyxQIb-E9vpYKwHThw-(DM+J?xpvuQW{kyDzpwGfn-yDWcS;O@}L0-yYYryp# z*Zpq;4p%52dSmxpUQ0;T4jyzD8Tu7^!BW?m6E~e?p>vCOx#>vn ze(vvlB86m^Zpm;s>Y)wt7ssO`j1d*z9aq9=zY-A+N2|oK%EzP?usTNp8nZz^qNFZ!ttON;`z1zBOT_m-g-ZJaE#Og;eP8elEuB9@3c@R&BMc! z(?$gSXAZN{N+R`!PemFE+cTjE?+f&#DmzB&ED-yLrJJ6zrPv%hXZOY|mXpEtko7yi z1q||jE_{#8eU8_B+5YNd0+CMy9pSMn9KCPnx;HTy7zQNG+plIr`g-=GrrHGf#B+1W zfjbGFxvP)Vd`t$@A55Y{U(NwH4Slf0G{zJ2?l$VO*zc8c>D}b2JKW2*5HnL%Lk)sr zL=g=C?cea+I6P+;_p@~SVz}`5brhtB`HIROHi5Q2F*}ZKbgc2t1HVcHbZb@)DLb-*kr%zNa~j z;U|^D_TbcB-1c2k2klA`}v>Chi}pX7H@#j)=NZGW4%KIKVSx5AuSM>0RG6 z(AGoweu1b9=&Hgh3(Jx>;B~Xy!1C)lw(s++-_4xsqXlrO_E0*~YN9zqzY>m;WOPik zCuzUT4K#D-Ovtl>y-0T6#&|L~3U;?7mBzn#WAD{E1MW`AFpt{hbsEgkq4^Q>`mdfa zb+`CiT~sXiyep3Kxtk8V`@j5Df13`mJX2SjZ#ctym-lotPm^H3Ubo?+o%3LLs`kNI zo>X9e^YYc1&#Lfq_3vqW?A(ko`;p@#jW~GHy3FZ*-4EhtJbwCLh=3Slp8aeFF_0H} zGs8N_3GG#ty+qFG1=6`W$u2COz~80ZCXM;`$STjp8eK^QPa-*W?dyi9&`w@Ngf|6F zUR58}%Zvg1xv>$^T&7xgRBw@SD0CnmGFp7JeFxM$HT(phKZ{H}R%;DaFQ*K#=jgV7E#n0w0l4cH;JZasNEb9pqZvN=j;fPJ2S>MCMD zta9Z`IC}eg{X@oj7^3b;&OGZ8igd8BU(Zl?gCRZETVYRcTDU{IzJF3}U|9RdU zDFwV9I=boxiFX)J>UeX*z@5}v);!ioh2u|ssZ|8()nB()x$J`aE^PD%?R7+|bgisJ zF6`*?(m>JwBkL=}s_MF~4Fmy|G)N_-l$M4`Hypa*(B0i2n5YOAE!`qWgUCju6ckhh z1w>G36u}^jZ@us5KF@W%4}b6b$i5D9j4}6GbB^IkJOE?IAJ15#edM?6&+fru0QON@ zy;X!M94i~h;IMaa!Ej!9p}VJW3cRpgnO{n`MKm$NZSDBp3+O!Qk97}*`X7_F-L=KJ z<|JM!5nLT>`X4{7#FdmUf6+X;VI^-wS~NzE^_P9q^TGO=?!R~-=7l-UFpRiJ1z@?M zv9jFEo|r2W@x%m2AZF>lB9e=olk7XS9zX+^atY?(sw?48U& zY|Ml>Z|CBQc?ek*a$oYr3b!LI>phe}B-w2{!y^J4E%NUuu?xgX@3#v-)Ahp2iCM2{ zlYB8@<=kXiDR=C2q}NVrV>FjWzoPI~EDR1D@nrEsIVO0W%-RY3iE6$K{3f>N=L`Hm zrrY#=*J220b_U(^S%`p?_?tba4n>mc`@yN=o#KHBP{_+T%74urt7c!7fA8&%nWvfD z-{-^w4K|)qSxZis?!m!59~iAMh775j4_ptBc;`^zgVL85oG~0nenvv4?6V2*(^p?b zRoxio$0p>M-9z9@-GwQ~ssIvBaoplK?c9;|izdqqFhRa!`#6Z$d#PwLC$Ugqq`jus zyrM?J8^^lHRaWtM_`7mN>`cx@Aei*rkyY2injG(GzG<=n(T5y&AE5WMt&b~RjW+Dq zBDa4Q>rZF3ee)rF7fb%iVvpE0a{OU-pn2>B3 zM#`tfbph8q+&>%F2i*S%_p8D8vGIK)e4ZAc7s2mC@b`UO&v1QfvRPWRM>!h*SN|la zm2O9c$YDDDu3xMf&7j#q@JRPVage<^x2akqkKwvWm(g#ob;cjVb#~j7dee8<3&VAK z{*yqpL4Y{6Txj88*yKUd-IEKIHJOzJ_)?tKnjhf-s&iv{Z@lYB`n*XS7iHR_1*fS; zI^f1oxgOY3DmG@JH3S_wZXstaCkXz9G7n)JJSe z+fLmfx5H$YX1jAuTrht%@!i)voG|{ts~9?`Z?UpXz*kH!1gc34|t>9(?;(KZHlcad@8@_GoC8q*Oo zVeX7+U61`t$LfyNXapDqEqG(gdZpjH%B-=KoM%q;V`v^mrjwPn)fvO{Xwu?&SyJ_k zu*PD6$m{}klKy|8l;|2c?*Q|j<2~=Q91k};k^ZxQWN^lrZf%fn3GLY z>qCF{L*51|YF4iD?XX9_jvH(~)uZa5#pdwoafdmW?LS&p zP>kNg#y?(NqO~MF7oJ0i=QiX1sCvey{aDw0VQ9wf_BjJl2%*!dCxduI~1)}qzc`z1ha?tBhmhjn&$LF7ap|luyuLq7wY#gn?qt7 z0j_|5A4i@~bJMe^gTw(%_p&*34-(Wn&18uDTb2)9|5GW0UCg_+!C(7a3HwX8*sh=o z&R6q>1XSd)7mDqBf{@Q7)5Sl=IzB`!25t%M?z6)J97TY#1;+O{v~# zs|uPGdSCn^j4*?1haH@}5-~olI7}4z z_WJ@;T4)5O#H1Z3!Fv@`CJTIhM@kDb`p^>i2<<;t28#?AP!K`?``^01)M3EN_26vn zDO0T8_uOCx`xnc03TSJD>DyBC|vOG=vZdSx-pA zti_1kzQF%8yW~qW5wknLQ+;jB9Ar_iS?6sEhv{_Q^vxPW&xUy<^{rrJ%^h!Me%1`@ zFIc%WOcM@oLO4s0i1-8kxrnS6ia+MvFmES^t3^V{e_(o*zGO2Fx?;Uf&SWOTjv|kJ zKa67`FqQXvI6D6lNZOZn)m;-iJ+`%y&25V{GMHa@EM|=1b#l_S?2t};4EstIIgu8qkEQ(f80!D6f)#(Px-4-+0KV4lG3iP2#7-tjsO*{!#5UOPzWw_b z>FYmU_)Sh>^%B*6GGDj0v4tX561Thd!?+EmJ~y)6=j)7pU*>vuV$PhzOCA#=cMm41 zVR{btGKe7o*u8^+Oj{#im`Y5FOU$Y}RyA;+xr)ORYm{TV?swD=8&H3@T<+?OQL6pg zFC!a(iLoSoN-bA|8QG_LSMUk_tnJ*lZ|Cq>XE*OZZ)cLbLZ1u&~ZC%Lc6}+)iz2wt# z%3hd^jz292eJ~i8({vXhAHO4XD-T{zxdL7%Ki9{!-K0+ght<_a`BHoMz;>0Zzs>_T zCxTr*6??-ji3a_HYu=>#u8NUqshSD`*+hfhlfRv@w^r1W#*@w%{~s5_Z|ri|+V|rf zA+c!x_}QP!BWVA>ZCtbEmWL*ZcY;a+o7SBiFdRqiN#)}ytI`mSsolM+!v`&FpPiFX zoVBepR)g}C8h?CZY=~_B0l`CKFPX;{6&d9oEs~SLKu!Wz6XP{ z-e_*gwfB%*-Q@&$>i6hooeBY~WvRGyZ?6`xf119l>nsVY+fi>4o@!yy`IWXY96-V? zj$<58INpAmX4Y0*R{SqKlvHd9?rkPro>34ana4sbLpaZ?_~Oe!}}6yx)0}{%Otqoh%e4N@_W2Nx)sJ756ASmuFYj8paR*Qepg$jtlxY^d^6p({@QrwF9xDaUA1RobS zR|M{@;62AprZG;u%LG+hi$VUy*1eo zj1B*ny8y<$!9G%H~CtoXH)~_M{4OjKc@kS+677V>%!2`KgQeU%1wGMJf~S| zn~lR+$q;b=cpk?SY3IWY;f&iGp|j;G(BLKhyxL6z{(PG{u(7BF%g>O@&%IqRTH$%` zv%Me~FODQnx2VI)^;-+HciCa}>S+mP7gMmeSQR+sr2*Ejj&u4|Ymf&ZO6s;$Tu*m?yVoa zI?#1_IKQhEhvuA#!IOL<5cjr=YI;No3Qo}pxrG}+*&D{E-G{ZowA3NzOSlNMfWF76 z6eBD!t$0@JEH2UK1&p4%ML4VV_qbr{*MxTPtGbhtVi2izgN; zw`@~6!;Ga2-&GIOv4Fc+^MkldQ{;Qzd?Pzs7ig&-80B9Q2F=g%E_1H|!pJqX{%&eQ zjL@Zk>{=tZBzSuHSgZ*I54U{cOi}=?cd=e)+l?WUPPyd4gf$#TPU&*K$fqtjd;jfZ zb;x`3^Yt!QEzoaMwVzHhhI;c7H_118pu4AhOUg(S?ke+1)p@9axu>5sqv~-WN?mAi z{;Ud)v+Yu^%#`8hcfZ{1H}Y^Qw{43xP!o1kqshC%V{l$}&SUeWG35I(e##RzAbpNH zM=d0Lnlb6YxTNE%fq)FqrJC zkM0WlrgSPokn#xG9=KC--8jmK6R5sP6?~OffLFWE7qxdD!|=Mg$Fk3&`IHDe^U;23 zS-k@iR{L(A=vwU@JnzaMnMjFMCv5&^LpxKkf??8slv;b9Us_TVg-t166%}>#9`@RzE{AVM$&;MDfWn6sQ<1hyDXr$j zq&d8KuGorWi&d+!96UdihC`_uiZ334M|~z1&Bc-=UJ$2^PKeR_*%_T)h|PVb2Ub6x z+^TX4Easi?g@ik6N?%QfV|LtM>cn}eRrYh}lTws(8CQBi7Ws9Zy-+c|t4j%96x~d? zd`}Z-`0d%RE69Vm)R(mU5hl3hX+b5=p$5lNmrKoE$uW-a^WS#O>3}E)EyatR$xgN> zk~+?#bRfW<`qt;kF-$gY;IavqFt$xbvnD&N1kXo5`DNWZ3L7dvaEpLf~!1my#lZz}oWjU|+zM2stn4JZMwWUDRm5-JChC1BYVsfEe)PUVVhZF7Y zs*>s?HGk;9;T99{Jh%OwOkEECTsV)tZB&7$$(NT{t(BoCf%WTGly8LBcN;9xB?PKM znos%MK|OvTmXf_l&kzTH&k2>Or)uz4aw%z>h9A_Q>L^FaaY269j(neQCrP~X)%=vO z2C6e0M^-xhG;M9lz?W}5X0Mr|@y!BKPh6r!3Q?T&BuGwK4@6W;{+~PRK@r2`axzU+hFp~Sf@Qm{x&WltUTlPoQ z8rADL6WU<&QbIH8Y5vmO{R||9EFwJc~(#+6K&L%WL*& z6G?oG^DNH4IKO%n8Rq%MC1`hfdqlvqHIML=E6Xhz3Mi=>C~q^{$^jwaZG)H{klUzs}83o<fI@sqpt zl$IyN{Cc+88s`dcWMf{tE2EsAn`+;eGfa_w4(Z&V_J^YIJ$4&)KESiBWf6brFPfQHPzzg%wN76(hN&0`I>uuh)Y#ee9cNltk{6G1)7IGi|*6oc350eY`T|Vn! z-gFwP73(ozl@nRfp_u?z+YY_z4~&BNN$gVn&uB>D38%LD8%^r3@$*P4*8D}bNhf%6 zflT&KD>r0S36`2SS^y)9|80FEH()c@+S(5Ggz@;OQ@jGsp!Lg<>#3F#)Nei&dV570 z&fD%dI#g{&dS1esO$Ci_C`39QbYx=>Cgtn68%1z#P1^(cy8NYv1`Fs}TMMj|L~}oM zl4Q#+Veq|TXAu>_8m>^kUX+SA28t66^SYNJKs2VQqVbm&Snm8`5wGBg=8fql4WAH! zt*3cm46I1MH-~=JdwV4soU(7qh-Zew7_T~)_nuf_=I&(Lutjq_ZYiN|b*^yS`LD4- zuLa!ZxORmjCIIS1v}zrOTtQ+ywUah50@8L54Q-(uskY^XmEVuNfcMHk$#@bGL{mKxd(tuiHvK+4V3HpuWs(qiJEYue8sMBp<;ty^7GS289>_%H02${_b=^}%{`6z{ zGD%%t@JN4~z6$w*{1$(%ZTZ&)Zmz!SKOF82S)Zft#Z_<^lN@%HPAqc{y6Y`ts3Aq5ohpJ&JnN!3ZpA+Vlc3) zUxi7<6{>Si-HqaPg7K9PnxbY#aNRWjtYwuJEVsK7*Vobg_`f>#dih0?4 zy%YJW*G4?AQMHC1-GO6yEs~fwh2Kan69;@%uNj@1)q`itJND~6=EVYeX^88`?Ldz9 z)|0ds$4PaS(#CY*C}jlfadJ)Zh*1Ew3*QdkTaW@*`bDL81YNrzv7aLX^tMzb9}UMrieSfg z`EX7w=xN|}DoGPy74@O;TtxT2f1k(2eFiuv&0+37%LjKlZpObj;|w#29@l>I`H*-U_fSyV zq6;z{jE29qiywcMg~G-mG_UlO7nT>!&RZq~KoR9ltv>c3SPe>Do-7Z8U)Hw*O4frx zyiv4=EjJP}Ux=29r3b<%to_*9xiGl&ErmR9ECS@(9?HE$dukv5XwUXJMZtASn@FSzVA=$+Nbp zv4tZSc(u4n>`1&LUsG%~x6_n_qay~YXYcvjpmPvHpZ$g#oF!=PibelDI9W>5f!vjZ zQyjNAPRnSNeIDkD1AW!Cp7=U#IK;oO_cFrWL))fv*|Y*Aym_U6WcOong9niZ&waV6 z4w+AbHR@E2fyWHE+FmQegM?Jy9!)3sE9m+8OP&c-8^=H0wP--XEskRxPdMJL{a~oP zMC1NVBDB4^_9fziK8ZKx`$}VONtr?+oyr5M0vDj+o>^|$^B>+Z zb&*(lLFo$1Z_8q2=KM%}jPoqczc{}>;qOb9yvT{+I)Li}=A?V*P*fNxpBB$w!}GQ9 z{0Q7168HbZ{cZ65ZG1i(pFhI&3_m}@&jgm{NY0Ll0DFZWzJ*FLaDBgJN5X0( zP)2WxUkQ#R=_VCjp~%LYNWgV=_-YL6=8q`Ab$Uis`^tiEI2=Cj`ztdwnxwl$d0Ts; z&c^}!5&QIJKeRXV;-l*y>O_)0vlx}-I8Q`@X{dYNWw!{FGynhf9oPNEjJiGz`e>j# zBH8j%CIaX*rS3PeMnV3bxVI7t(U4Onq;0GhgW-LINl?v0@jf@Wv%W0(811@J*i*8`}-x%<9p}X*0;XnP*OiN!9t5pIx z%_jt{0``RI8k+Y}&>tMCTyq-DvEN9x^6QC%t=o}59t5F%Yp=kZ*6k=#e^eQO zqWVnZNcV5}ypql5bDfVKxdF38p6m?5BRjX`1l`B|oXB?tLIRDZM5v+<;w$eq zg?u;2(Aa!t_SzLhB6;{f(JF(@SWDxBpBAL&BFk9%a4<3ybkE4Cj=c*Zyj!7JWQu2ZJ%v)?00nz%?gX!X*?6!tM*}yuHY$ec-oXVyrQUXYh{9{SAl3YxQ3> z7IYviRhB;Ll_zkt$d$?oyFjM>#9!MmG*A1#KO6D9S4R(#>qmp!_?yflouQELG4wjS zAr^iwJGEzhj)1=LMAseEE&$VKHUF4cflzkQg}ppzZZVBnONJHY!?N7jYh@e`1!XVd zzf*g{M(g6q$=lx0Cp#pqHt!C<+`?B!jiW)j>f}wDB{%T8RwtNd>;u=Q%|5sCpgpjE zb)(1L_H#%j0$7^PzuxnT2m)8tlwM1FAfLs-P!V-+kpHBhR2YSPq5^ep&17mp+tu8k zy{}Kh-R~{~84po^tImC#BFPP2D8ZXlMMt=Kfawjh{(VAEX&VycX;=4+`GOo80gM#>}o7^gH{?F>p(?!Xfv$M_deza z>wj-~f8q0m0=c@o`Y6Bb*zh4oib_9NQ>)hM%=d?rMLmWePrF0M4eD(FTn}LVWqg&w z%oEr$KM4i~IYCsJN%Elr8yHvd-4Sj;gkKE$OO*$`fMcmmj;qjz^f{r7IsOL>zHse! ztg4H=HMCLjx+BQ6bLSx zD!?Qvuk1PesWbI^Nz+Yc2j~c%2+m*U!SK4ON@(*{atQ_{9}V`m3(Bz1OJUdJQ5iUJ zI-Z7;%nS6BFhxYFG~FD7C>7@faIX8u6PYESoz~8vxxM@@Xd_q*$E9O zI(+hQ&u}oDBr0v`y^De5+ZNP{y+^QwOjUJ(FIupzZM2Z3rUl>AK6E_0EQ(Q62$A)t zodk(+oze!>XRe-|eAp%BL*fOh=Z`sZOAljLvUCIo3OAJU&1Ej9d`5XcJMxJapQ`|M zO4q|fI-De4Qi1M$+k{A{|6xsOur~l^Y+8+H-vq<^5UuoY4k)sg{z1BDMGz#4d($wl zB42)nqk2j^!eL|I+4nlc08n@~h;}9s-^Z+}TPg&?a}oVf8>_4c9aJ!mCCx# zpG3KbJ7sGQM~0wWt7BWXsDJ7|mp^fEPb9EUJ1_01@Pbfv;><4nAUOX$N$0c0_|zC+D?xQKecN0r|C#`c~9W z$?}&?2RxQS^G8K0%$H1{B;+ues}DN={a4?r6npMOBYbo;M!n+nQ-;gm>v!1ITcbP* zTiS)&u0RnNUS-3e4_6B&i0QIcz$4+Mn%70se=gI8&<`e z6CS|jy4O|P%^s?I3@^PO^&sIC$1RRiHD{tvjEE}qu~q&!ZKDh1TaL$d9Npoz^kYM| zS_Kl`#41WJ4wU-u-t-w*Q4^od0lM6k}aCRfr+N#f9g#=b2PVyzxDQE1h%8 z4s@blx0*KlL8+v*Xf5VO;vK`(Zai3yGAlP0)aib)S}?~!TB*muQ{`t!`fUBiW}#y+61v{| z?w7j}3b?-Gx*w;+*P1FC1uJ}o1&P&RV7lvL&h-9BuR0eSrikzHjG<33;QIB$>f}c&wP-lf#rUO#IfT^r;QfyJ)RefIy(if3dmQTi+ynZv z_47XZp?qS!`rTZ!M99(H^)fyU`Su9y`*X0|4-TFm6E{Ns*&jkzF)IEDF#Fx`?RKpj z%xvC^meUG{6~Sxoe{Y3=JBsmIyb=P@@3$>zkxzy3;lftGnQ-80cw@FlJPhWoq*})~ zqF@il73y;LaFYIy*_={wyB-c4b19Y_vH$6x*hcmqExsE8gdOJIB4Os(70Mr(*EYi7 z*%>?6;+kmSE@5P8?nn6!|N3XVKJfcle4g#GbrJh?yB)lzE>|Y1h+%Km^0jGe)IfD& zv4tPqOUWBz8#O(sU#(Z}yoq$-#9lpz{dNwpwsD$qCPWP+y6HYGhMJR}*Yip6S2485 z?zNlHC6k155dP&eZ_DZ3oC`sIH(>+26_KA2^A-9SZsbe8w|S!R?PdrJCYrLF(jz~^ zu>D*#qBc-4&&m10D-@1O)jSbKzN!}_uI-~oJV;Eb`95Fj01TNox+ir0bB;B5-b`ur zLL@Zr3t5>|4Tll&zk?Fr!@=tSdDT1lFnAp(m-%(p6AD?5)nEB$i{2l*xd@tp;P(D? zlas0o6g{2L=9vov>tiJ*CMM{7$eioFYrQAz_fO(x=OsX9QKv@~df#Xl9X9pe^nqDj z`tFWXUSO9kopFE(?ScKPn*?{+=g~)EpzEE?ahmhaaBy%i9ipVpe4l}G->3b=}G#EsuL!v~|INgzRlS{-qn zqera3pq1y(5A+@=GTPFYKwyGBSEo*|yE{YS@0a(#YH35Y_2gAwJQDea_z&2HuW`4*QvOxUy6F@m73$LG&B?rKL z;}_PQ!KnU6atFFtykL5c`pP4BS7_J~lH^{k3#Qv#oIVYn(4uHp%Bp1n_wMXixgz00 z`kYzxKH<@~p+T5kbMI959FfHipYN1DjrP0W^y~8_E)Ym{m9n*!WwH_vCwAsO zOc^nP?#v`b&nZ1%;`-jY;i3;ESDS{J*DYWsB2Awz))eSZIUZs^W()m{Nd;U)8*rE~_in0VG~HHy?J|Hcv}taa{zg9C$AXY-P^Vc#DBQmg#Ot#&9&)Zo9J!3<#iJb=`O0=5$8I~!wudm#V0fLB z4Y+c*$FPH{QY)jQX1pknHsq($q=}wcU7I!P$$)Q|ED`|iBS%~xU+?K z;~Kh8{;uK~SLq1*BjOD`3Y;LV?P6=%YqU2ur{>!-?gG8co@*6SDBt%V?;LGz72cs@ zO~R3e?xT?vcT4!Y$Z@*e#0?(Nho0zP(Si2;o8p_>P9&V-xW#emtom7>7y0@=N`Cxt zcLo928)FsXN@dbM*bgwk^XVQRF zjONasDK`+AW*gB`A_B3|MzvVfj)Yqr$2gvFoW7Co%u%QC_%A%;{D<@67*DUQo{lrf z(Z@7BP)EP_A8*i4m$zKrYXrYN#|va^jo=t3)8eO}>LlK|R-&CH7OnvAZl7NNy{t;& zW1MGk{>AxqYCtc7Z?_7D>j16`xZa)27`$h9DvYELcs?zjzlP_F;QraTKP2vdgzxv` z`)jzK;rfQ(ul-;BYmWC+wqK4y`PLeI8`-h2I@~VKJr)H?>~``=!678wWOi7eRC0*{ zTxb7qum>3KOCafV*zf1lUC0l3*RFb+-aio}-QAV+g^gJ~1}M486CYOvBOi%NUXz5= zBz;~`^1EH=770%r@9g=5dl~kJlR$(KtBFulUwwH)`5`2ceQiJurs{mEI4}USQy-L7WBHE5)2zF>Xo?`KA>^* z?!&u<;qY8~iR(wc7YNSC2gN=JhaRm}M*1HiAd={j$?Jgp`6OBWceI6pd(d?3a(pCY zDJYij=ZS=$kJ_FZN5sOoC0&()PZX)|cxe?SR&gU1j1J6h%-R2^PuhCltSG+_1sQC! zpTD09#cC=wxsOyL{|lXi2THES!^5rLc^x1AbH0f8&-nZrKJQ;LBzaTkI@)LQ_>lZu zSQ|WoJML|D+5zVOBC<0OV3xPuudV0Y}K-lqvFSKi8Z0L-ULSY%BpK8{%Va z9xbaQLm^;4bmR65EjLg&z~?h&YzNY#_lrvOL*d?SFNRQO3%E&)^YL8j?Rj=XSp1&SbyBVeMhbpQH*?kJZk;+ zh5{PTA8>9&dFfs9)C9I5?4Y2}X^L7Gc;usZbDcI0Zm^v8qCj~d8PROFHaI=t)d3Nf zbtVr;;d-@QSnmeKOPK>StFCZ=xGelN>c5gVfB!u2(h^j!?C#pZ>IH5I_tlF!?V*8; z%5BNe4d@!HEFaZ7f_1a%NCUkmoDWz^sY3Ul18PF5Tc2r^gmdD1eB48`#>Uq{`3+V66yU#!83LYnfZ%(Zc;5Y4A zjw~lPgE?cFBv8AJ>BDU#bOjX#S1!xWPQxpbebZ)KROSWuYylZ|CMy z*hS4X%L+@>haZ@&a;0#EAL0dXJIIJ|+)-$vpFsump3l^PnLkXVjd;SdU=lB6SSbw+ zMDoCFM;q%&3NdU(zdfm;&jX60>bQmq&4ERlTxLd{K;k8`OVO0BywULSR>W$Na16v2 zrdjb1hl5a*Y(^=lRDKVD}#rh5uPN^wDWsfRs;NfIbM&^`)Y z-_IWnX{9)Mg1l7SSvHh6yr;!`Qvvz=J@(0A{!8l)`A_c#>?kvVDU~A*f<$*9yRo+- zr{0~!J2Usz*@&rjBpgNSK2OO*ecaN{rBp9QZ&;Qtf21jE1I4#^s!_-Y38y%2ah#ru zcx9NKqYnzh5}ceOCUD%_J^YwL0AO#lhX+vI;&=<13D}ld@`f7nhxIf0#$e08FXaAC zXHZSdpHfAA%HMfU-zybp4|S_B{|w3rtDsO~tC(~q;TFd+jwc+aZ{#QUM8x|27oKtc z!+FuqQ8`oCP@e2R-YAV#2-je;gPV4_jk+1GP}g2sah}Vb#5?P2N%dOA zj$ro2??Bi!cM>1tJd5)$&acVMSuFW=>Fzk zJ}sWVhUbgm{@J)cB<_EN@Au<+hU*(Xe}vz!;rfU7M;~Gw$|wpF;kVFY=y!Df)7RSJ ztA*xdaNXpMl<;edj0Ie0wGC=MKYX7+(&_U{=_=ii(et0UbW+kRmZZCt0l|Xg3<+TS z&fQlk1?h>8m+tw#G?G4_i0uvU80q#2(P%lE{bqtyQJWZ#u%*pj@k4 zmkZ?XNCCpQJDhwiRlsQJ1^kCnqEf<%q<#hOV+Q61SROV-1Fm1^AG}XWkV^myiG*Vm z4-!ay58m%w`SE0xhubG+DRye@1P_=LEcU3k(1tZF-E|d3Uod&uK)1Mw ze8C8m-2ODq5N!7A9G3>#U)_~Jr`Z)|Z#=_#S ze+>qTyNzz+-;gh|+DD^;+HkmZwyU+FJQ9?t;=Wvo{!c&jr9Q0NAI&T634ZWQAN_kf z{`Y4ip5WecVcQq=u?HUo6}qVbeem%r!^gha+m=#=BGZ$6=6VnF4~G8n~li#fYvtKkCijZHfbL7pB!(m!nW>#my6B^Rk zFMT&db2-11o<&Qbd;7bxHcFgPV3bmm$;#@9=0AXrJU9?auf6P|==KJ@Zsv}TEoM z7>k7Q9Ky?=s&;TT*P4uczz*K+bw5*`Xay4QU!68XxrpTgd18*=&ETR(RB?_MfK%L# z`VU;T;I3La*+)%)*GD_uV|0m-dq+fRYRmu(`>Z;R*@-~Tb>;SbUk_j^(U5(c>j3Ft zeWl}1i4b$+hT;~J50KrYjA=vp4B`xB3mpTV&_}2Vp>}sg_aT|o2L{~XZUM`MKhKEp zTi0FfK7%&Y>hbBu4mrb#Z;D5}YAxZ7`fb8yv@_{*6^%XJGp_^T?O_Ack7k>lk)KB- zOJvR9!&v6%z9ls*Q~#@_n}#(!>Q`9u@HBveq(HEK2btBaY zr3a1d&mKz5iOrL0JxvWFfB8^WytV@6sa-pZ-OVwhprbSWbBEy#-CujJbpmuJZ_U^S z>S5u6ALhfT%pozb_Gimic2ZphWp5ZU(?!8&t=6|asZv;=;6XN_I7v*;s#mLwz=m<( zr#v9#s|e;MQY)p-!Z6sXDfp#O4aPTw6fPqN$o>9_wWiG0VE;DXq|nX;Bn>|aQ<|WC z^~akEXOJ)AW_$X(mj{&5-dtgWOtU$t9cnR_H@1WaKeIINKd^?ghHqzo?32X|PCmF4 zOC-YWZB43>98VH2yt_%Yxs%9`Io}DhY1=J}O>3RvZdC_MyJ)NL=!>x4kiw*~u6 zs!+H)AuzGsf&Twvs?yc!Q4qpCzj_h%x9{#N9-p%AdS~faeWr@rXx2RvNhr><@xFO>7pISR&x$X`z=j==%-*WODFYcrcur zR6IZVD;k>ZD+Wa$I6_%;Vb*}E680gYytS866~pU9wymKcm|%i2-Z6YySU?1IktvG@ zqw3i0<*#p5A~m2}LS(;TrUa?Jjh|(FXW?;#kM=S9gp!!STHrk~nb{Z;vzT1%3ax>* zNP&LPLmrsrGTwRqvH`gzjY}E3ZAiS6Pie3nrKn57(N9}n!hv=puz$om5QgRt?7u&i z6aA$MTypOIm&zPSIK^>`<8=7PtI?!^RV8)DPYa_43J@m5Cp|Im1W7F>Jekp)=*sc` zsL-dk|!yGf?;=jh%lvub_ea`r3bQt;x#p!IL&Kh68sU;ebj{*M0$02s!X> z$T6Ql!Yz(t98Wk-8NZF5{(K(gG5jAq|M=-4|=z%TaZ~(1PBuO8v=~5XAADN^3Qjr72?=(pHw0Qm+o-cy?XXE~mxc?EZXSlxM z^V#_P5w3su`4Qe9(Xzy)77C!eL6wgUzjlX_bhDLQUOpou3UHlu(n~*2z7#{!X`$ok zV(=pzgp9>#aZprLy%JI~1x)JipI%Cgb?>Me(g!#^xZ z{R-a4^mZ$m=bc49@&EKovbN@Xv0^Or@4w@|_&N?}wB|8&m0`qoKE0f;Oz>KmF5D3&RJMx=|oezQUmA5&=HWODn{` z=zOW7+p?cJCdfuR{00yE>lf z+%h$Wlp(9H1s{yzaZb_<<6I;>j^+>AzOMzlHPz(gD6}9uHCgf}rxCoWaT1uc&?J3N zDayOcDdf=H8~63IvSy($qLK0D6`C6zomOUgJ{}HN{T)v~T(yG>p_j;ZRO&(Z+!fvE zGv1)=`&f{R%pL-=W+~3aN1*)z$P0Vz2EIl+KE&I(L70v`+q9@29Oj*=6=jTo#*gRA zu7$d^-k+%pyW|CU-Ms7Vv&cjDuS93v#bz!uxN?M3WKGT$G>5KIUKmGn zXxsr3gjn#{ee>KFy6dRKXn$(U+G`j zYN(O}QNi@(Cp(-#cV&3cAqt%XkzEiAcd!FPC2AHi^!FUlA5;wYCc;?ka*GT)uPu-2 z{gd$*-Q)Eub2bUsL-UWk55t>85SH4=Y3nnBqc4U0?|l=+%5>Xb*%VlT$ECg559{>7 z@AbJry2~i{_uuE9^3&~!*zFBT#~--KeLaPRt$b4x9gu^n%td5GXp7~gzdvF!Vhk0L z{!0)2ObN4ZGQl0cADn8%KuYtWPCM$R&qY8E9n|;!g z1|X&vah&-12)OZ#stT0QVFpgCX@jy-aQ%AL+X+uDI8##PYT;uAfdm70c5XThudA+= zgWvL&(ch!wj|!u>He6h#U{U$00msFH9n^(Y;IKwmzoXwNuv7C`emAQPm4OZ^DLF>) z*tfIr+)*beR~WgvkIozdZd&t3DFKwl1)S9q4TXfwB~A>@Z-TnJML_^Jq?gkC?xhfi zewS+PGAm)=<0*eqfvxYRbjWDq4Uj$=S+2G8$3w7(EP*c{Xo40Xtapm zblE-#bEdMlccVSlpGg}7gGZG>x=q1=MrT6_=Ow=D`cC(rghLmThqUpdK)9W_@5WR{ z7_9Z$rtCxa3UQg-g1#ytaObeOVGbb>rhI?MD(j%RqJ2lNRF(z-`Ky9e7c%tzD`CHI z+$j+GZYb5gi$8$nTy!c=LjL=G&YjICNBxi=_J^Wv#ZZ{iI#?dw83;GNw}v?1XX$1RT2S5_t? z{u;BL98LR*EsXUb!6#fSx!MHsb;)i$XFrDFcw2I8o%w?14ys2q&0I$HuyQe}a!or` zkUr|q?(Hf7_5>r-US?BRv@i@^$W(#I(s%b|D%X^7+~PRK@r2_olPz(_*GGE)g=d`q za9$J`9@yv4WDZ?qGmKo*QY79;77WxcNd%A>ie`STWDE{`)uH4Rx+LBSqJER*Ca(`Q zWj6T?MYbe9#(5U!Uz}f${?3knORI(9I)Li}u6Kp8yt26yp(K5{uC=!80b20!EX&sQ zDSk}mo8WrxLrqdXEuO!I=ZoO}*|u4lNu;rna&d^WCs`28AweuVc&(|uT8c~&Gz zHxFGrEf63X0l3b-jI;5PV-6?j^q^!#a+oHX)BBaxw2a>Oaoug-W3BLjI~pRWqr$%) zivmlV5Uc$(ktBVl`R?}YVrw|~OP+OXGzkG*-*MgVwh7a@vl#VFq2RE87y1Xm0jjzk>HM7tT$$UabiRT)!?hONY3=LHF!xFZO1i z2_f}8c)w$7dzirq<$X1N_{H?w%?FaMXQem&@rRPhrpnp^HxOHl37kUv8|^{vdC?w^Z1sfb7sDo;Ez$5|?qNm`@?mBUI9{)t7ekug$LG3ne+b-9OWnF3 zt6?$%`cDK?2YCf7!4NJLy%z)OTRaX52NfZG?3uOf0e7(7c_#Pjgc~qbC2}iNIs^H< z*@|%^);4Xu+?;^Tid#8Lo zLso$w1`9dH8g*@9b?Eq=$2b1dpS_r67_795gc5ntk=Nnj5c$oyaH%8;Y98Osr?8BK zr**6!rX$c1V3 zLcd0yBU~(d60G*j2Uax8*A0+vm1%09sz*6d{Bae%>=VY2l+8;Yt`!Ti$xoe+T#ki# zvaFpmdYTZI1O^T??r_h^Fk!gK4(zC=;m@`f6muGOc8cwX)w#|PUgRqftFWXvgXT^f zh84(KZW6$D$fMP1OamkYq8U`WR3SUC_-4T!FAxY;HQo8j4Yc-b?3ABI^Wm4CMIO8C z0oHQGckGC+@btTtmo$qDT=#kRxC+g;C+-Y1*H(7}MXhs}n48@oRd`Q<6WTNMZb{uvKQ@6N`arKes!pWONwmej7)}g<0ef+tJBE^Qo~kQ$+C>s< zJ#K!FPqoEF$}YsuJ~W0wGJ03V$L!dNu3_`iKx6n^6g$mu+Z-)@I)cq`KPP@oj3(d_B=d1of=f_{(`{&m3+rx_wExvTMXi;E_81?UovZ8)&?WH_tyr=! zGn!*izVYy5JDNXY&7+GU{~HH-H+i4-dB*`U^SI#erU)3fmU*)h7zX!8eu{-9MuDQv zud@si;qcO%gPYS2-6O2Do;kT41jggkLRK{fFiUgG;2K33xIL^nqKM`UW{62)o8KZK zXpsG3|Iu)eig4ynTZx3oa3tWYWIolU4SL6 zBu!4`aDlGy5vsBYISjAwPlG0`n`x&Y#+F0CZkz~w+cUSN^F1LTHK6~Umlv#(i*F|! zCIUwm6(@(SD~uoax=82dMB<%kqPsB1fD_<2qO7Y~YOi*LUXw9rmsKygd{5#1PFn&z z?G4vP4rC;p;<&|edO|zo>PQgsAqW(9A`i3%&ljgU{-XVgvs#NG@0d+Ucq=$cKF8sBkR4xu@2w&aYbcjMNu*`BgrZxmlfH2@4ffltAS(`QbI;ZrBW*M zWh+W4T13e%tCSGG`}6&EKkwsszx|ivcn(j`b6@9qy{`Mb&U2S-AcF<0q#Ylcwbg_0 z!K3skfew%p!QmVmVF@fLf}6(<8<6T2*DCwH)*W?!Tl33t97JRq9eECfP{+?+M;CrEgV zaTen*##eC<^*^i*ss!c%%nO+Bs+5hFy^-Dm^8=$6gP^gB6>x6rd-a)YH)MvJg2cO2+dLK>CZZr#Q}muJnwJex$?9&s%S__u zyoA>rPdvh*;F7qlW?CpBa8Ib@?reGl$;%F89v8UuXc ziG{xJSX>~)bhq7E3J-w*4h5?ig+Mr&cEGw3?dPxbvQp^;hJu<_G><@oCwSj#wyl#) zfXO@5w!D);@KRF5vHndggxFl0FHwkumW|v$PUWHSNK25yO4k#BR%yBKS{y{J$+xE> z-OBr%WeG#;IH2SW-VvL7WNyhFEh#a5veJ!BdV>{29>oZ*|k4``ImG@@Mv-d)T&# zn+Gf7ec|YasO)N{FC2G_`odQj19IPJCXA`Q;qLULU|OXEF()_?yVDBkX-)T@_gXO~ z{au%_=2@n;aCl(WRjv3j0_t6_JJcZ^cPEurGHZD_jMgmX93An7lKq=mNoY^*8|(C3 zGtwD1+G&4&P3{D&x$N3msL#wfcCa%iH3S%XjdHi&_6D(MlovmaDH2zo(47zJjQ}=z zrrs~Z0nm7#?c&$#NT(54DVU?{2Kd}Okk~1w%$Wc(_J+J4kj{uw)s3qoCK%lJ3+*SL zjD}eE%K{l9ZjjxedgK_TGi-e+)+g2x2o^Wpc~-Q-K+;;(V(qpBVf>9pX!fx$(0KfK zXo=>N52?(hEm@?%$MLQQIh_^J&aSs8f5Cx>FQ}lnb@6%9yd zcfN~!)U|Kl5iK=>?EaABtb24}SK8;QVSPWyz0Ph-jsE?RVn$8)xfkS`Dp^^4NBIx` z&Xsc8-$<1sXQ62Jg?-uG0QkKvaDeWIFT4+IjcY=>#MAt5Z)XI%BRzoe<{nWWU}I3s znY8zZ$3&IO8y4hqnsK5xRlpC@rD5#IUT^qK=It0va~5oV>7E|gJPpZdQtTqS8erU{ zpQXO&0t0n2F9kRqAy|Q$OS?n^gnd~QczrzK+G7@t2S`_!5Xjd;e;Up2|KUQ3V62Zs zq&-|u)!4VHE(V6#uzvCc`W_4Qlpdh{!qlv;OOMIyNVr5hVE!Zs<=q_eWnRo^h==)l zjvlVjBse|W#NNshkLGeiw6F4GA@btBzh0}ca6~`oI)_IjB;246(2|S?oj1V=B@>bG zN&a@Ce_A-4e#g3XbJ-4-3-1@Mr^f*=gALoq=SWAV_{{f9bR5)|(%nglkAv!yu}6c? zMuAA~dep{vA|#j#Z0jIPM0zMqy71SDz*oGdHHbeN)H*p{S5+kf(_NQV+rLL(I!S-N zp%sWNmx9tHoOuX*PO=I2g3xYnf^SLmqY$ed^heWPtclYhEVHDVIo|GsHyd=~_X1@} z=ey;r`4%!dDx#WJ@764O9@*()e=0&T5O%Y?d(Fp)atU2NUKICn1M0WGZ!@c+dtk%k zGC5&hB;1i7`l!Z-{19;+)i%5QEzWfWe`dPjpND**>Fd`WC!Q%n%!5xi|4+Ar>lD{5 zuG8%3um>-)bU}2k>($ebj!;Gxy{s$Z2uhc#$}ULQlj<#ZpZTVNyBYL_@P*X-yAV_# z&dck~xq{S_Zxqdj#vr=qVsP9YPk0zBH9U$YECFR+=8dR-$90SA7}pc7Q`!@6KJwJM z{!cw){KL3t@#4DU+Xzn(p!WP0^U8&U8%}1fefh{Q(Yfl zxOJd*8p;bRF_!mF@h31IW1PkKi}7`=`nyn_q8WjC0P_OoyR;jIN3?VON&GM}?G@S} zQT#MenTA(~?L$eOEB5Te~0?``P9s(h2job!YO~2S7w^h#?R1gTeg@?qg=&F)6Q*#R2B8q@C|R z9zgo-h@899)L%}M`X1cxEI}Esf~PkWF}8VJm-7Ru#TB7YH&Sx4LIv9CWPMo*2*%fG!&HJ8DNzo_a=S!H4Ys^hwTS+L}9`M8Wnz zt4p`K;z)f#^j31Q)p?W$QIoc=_0tqC4zLw;Ge*Iu6Albq%5kJV82dlq{YLCBiv8GM zRP57RVlV(B9)f5PlOb|wobO)nJ`AHPLfb=HY2om@Y^n>$ui4jHAUQzI9TuXva~^j% zLyJ-)d=)VVs_$;>WgJeV_Z2jx5Ot~59~KI|I8+;u{+s8If~g7@(V+XaUuwh>3dLlZ zU80@fV(SOBOYxCl_wn$@ticE4DhwdNA?1y29!$%*`(_m$Yl`$tDW#GXfFOBDe?buiaC z@f6wv+qUwBO!8W7|j-jpra(xuU=ef4J>}p9OyiNIl zMUxZQmRWs3TzH|NC@mpEO4K1}j&ARX%4)}*t(F1W+jm?OW!+T6kNFdy^WH76(! znc|G^;((pZAvvOfo{%;BV_!SkSEtmQRNLTkBE62+yiH{OXDHkp(b_@I44|ePN#wpl zdfa2jxNfl65p$~3JmMMpAo4g&`uz(<;`3u8vAwM35XJMS{z1P5xE;Rmp)1mZbWZBI zJ#)tP8^ckFh0*=2mat3n^PJ^YS6FBZWz_kA{@>@>U5|Du0q4}%_IGs1x8nPC@q6Ry zz_({ZzWcB{{P=LEM}oI?-bzzeJrB~wAGDKtIpP85W)BG+JK_kF7v9pdPRGN+ zAt1|jPXx+^_%+@{CFtWUpkDlK2`X~(P28tUz-IsNPkGy!h}3|>qQ}J!fHI6S9QTBP zb&u1|3C~~>E*$ERG>Q0Q0%w@m4m8?`L73Oa3%BZ>LAl-P(1&BkX%*}q;E_@Dz*uj4tJZ*qVq%`nq$0a4O9x%9HGVtUb*a1EPePMWjxtF9tQ?bA3w5|w&&v)aI8t#j~kzZeIGsVI?Cm=6QRr_s&`dT%4N?TqZINjLx z_7=Az_-fTr+qJkuVv~pqg$(k^{)ao?ylY=}2fF~SqwRDCCY1Y~;5L)<{fpT?pjuDW zrk7<1GaWWMR5Wg+I>mL1>olC3bADA>3k-eOe{g5o!gaNKpZXp-LgxX4UE&Sqq6*8$oZBK3!Eh@>k+oJ3aQs9%kig%#;)@ zNOgc-)*r4((qFhp~^- z)rSM-cg*`b%AdZOL`DFIevZpq&Io9bJ(9Z}`4`P!?%=dIfP^g_$12^SRQ9dp652NpZkbi@F!O$68n7`KOAI`l%bLjH4g^s1qaiqQn_dDFgQqeF|Ae{dCZiu-g4CpGA z#V@)=!hWr7i{(DyXphOV<NTeDB@AiRRDU zzt)vg#1g=5H~Ze|{UMOmy`5(m9jtmR z4)B~1`(t7M2kgI&^J<2wjMutzjljrnTj|L&`-!u)dvj`8*$F+_5HiIzdm@qBI_}PC zUpP6JVUR=R3#lrb;VO%s@Sw^2TM&ag*ork}Hqg40-j};V*^t3+Kj>(o`dEW}fMn!5 z3*OB#6O_H`_B+Us572Y9hFMKtkmGhp%;<`OBdUQb_mM9b8xPI4c;rXn^i(DPqE!&+ zKG(X~G8YTM&krum>IDL?`D)+FUvnaTUaTeKwHqWYFMKO`;7t0vXLF9v>T5^A3A@I@ zt$Sj?=DLB~(oeJ({qTU3>l)IFsC^16K=;8O%`C>%mhKQRbmer7QzQg!X3GAY^8){u z!+`=$5l~4#^e){#60AZ83}@T@;mdWUFOS`2pj9{4Rcj?0y5`*`8(Bl)OV!-DHjOzD@pSNnw!4#bUpfB!~*oT zKVo2_IY~UtZL#q?Zb~c#hnwYGM)Qykm&d1~WMS!0r=^3M6X7^i)=&^438(6oeijs< z|Mx&#mOS#$Q9eIp$A$K-x5$${4qOcYei2g-*7yD(xi>FdZN(qB2FrhIBHxeQ=ghLS zegy#cQf!uO2g-%Gxb}h~Dge%sNnZJzi*z6l?C(#tAm5QumrE^&jUat(+ib3~JLz?7 z&wbX*xf6l9kM-VG7nFCT5PfL$E)c;Q3B5rnE=1}1%X_ycibB=Nq#4RpXTmx~Q9DA+ zAJ~UiZ#|Log4gLB8O5{_q;qn!L-YMnv}Y?anND1=bb{!DE5?tzg2CZ+h)&BMdl25P z=}%>14&1syQ+w})!q~xZr-xh3;A)o!gA2+JI~uoBE$6u(>0CXpx*f~^1LYfTIbOUQ zeeOA&jaJc-K~UF_KmIP>9}22330>Ze=Er~Yw`)oVLBy_t<9`Q3VEEc#^|5{rIJ%kp zjZYZuQ63})muG^&;L^4mPHpGGJx?TGCN~9|sS;C$Z|ed7gUqZSRsj&%dhlu#@)tRz ze3I^k9@_Ulm%_b;7k%%chrOf75jX{vJ;N**VAjoG~=_P7rz4ACC6-!#}s)riPh*jvT>Bk6&RFPv=F~iI z;RS-P8qMDbB_jRUii}iJ0z76JsF{;b1ZBITH*?jAP(O7t-tGXJFKu`QtSu(Pv30TI zCxXrbMcbFt^km8K_8be#=6W2|Br?9xAUg+{jOD|hwaj3;@W;>(FJ*Wo!T6j?Q=fEB z*qIXhk5bqYbZ;Hl51M+yCsSK}s|P=uDF!>X%P*Kf+q09Qhqd$opYJ`H?WP?kjo|bz zzhpz?|1y-SnV#{K>rCUXlS;f_|!?3&OQ zf53J0r%^s*?YBF`9__PK6AFUZlkq=ZHk$zm&Me%m_aoIQu3KEEhUTX2>X(sUwco&I zf~Ol)KDs7AYl-%?k26y!rJ(uMzk2f-n^;+FaRYB{%NuVKOo@d?^#|G`e!%#W$&_gw z`O4N_I>T@k`R+ws5aI|AfSsblhQwh%Qr+S@#`T2j)GUtv?r7@&)-%RGjEiw+60!}@ z=cKnV_)#}+yemBrT6(z7 zI~j$*6}dN_+Y8XSHDT^PkM37!o-KFFxw?@072L;!b*5faznuV>zpmNboIHFN&4V*b z|5j3^>|8wm3ZqvnWcpl4 z>G6vv{T|PsmQ#Pu^*Wgn8@H+I5AKbDVaggy9vS5C{7>(M{X?;jCC;b8d48v}O;)>J zBOh$LPhZZr@`LG1*7fggr@(Icgu(gElkl^0@N2KUH=HvdF8PFefr`_zL57_>yquuQ ziA=MGsL*|fYqkH=uXx2iEdQ}B5Zuk){Jf0zygVnPr=QGFm z~g-pC9!vlKd*plm#Vxaiu&$W_iSJ?lN{Gj}t z9JuWAIP&&dokUkIZ3hH@FnJ5UnSGLeB5P|aPo%@d6i-NCdSNUI}eAdIK z`L`|mc)^Xs9IErkzfSNrZP??!U^qqQo4n(yJLuV(7T#xzgpx%5Yga6Tz+&Tz{ufR^ zh-N+c%ecoB?wk%Je*@7FPxGer#sQ*^m(n)*K87?SZ>3v>j24umhTer6>0e{Bn1O9>%5MS05)ws(Y z;*@AR6)Vj^#eo`b`Duf`rN3HlfDz>LK6|7vmND1J5-%_STRL1B!X`;~m)@kaW1UYj>m{EellvUZ1udK`?6 z6(>Q&@32q91bS|N6n6C4cUyRK-~oSxsypd*jXCmU2bm*)Tt_Z?OOZY_B_v8;angmn zAdA4C(FR0cqS%>^3M;VcG<(?b{ScV5eJ@+Jv4c3a5|MMyY~Xrdyz|uoZ_+t2n7QRP zl4=Ul_M?@7$@cJ_xiVF{)C1W0e*Ss9j{L6GxJARV)j)#2^T!ctH?SJ6Oedexg4+IF z0ypbDp;cVSJQK|y@wrNI&%0VQkpS2HC3}ysc*BZ|!`bgnZlJKI>%%tWH`3@A{5VcKAQ!Y`7DxV^l9?B>x~W}Yx%n2=b&5o!pY}Jr z+LHvlRn01iE6T7~GA$*VZV&Gl9xX*3u!f|XIBDs|UC?{;Z~|MO6CCZnn=G&=3_=_0 zIos1iNw{!UWuY{=$Q1fYy-o~vOF+)q=orsIBWL3_vh0z10Ub66}V$w@m8YPco(04QA6U>m5e^rFWo10~hQcZPCwE^hM#B>| z82lO=32_{T;ckv-zwc#pOuS+&&?P0N84t(8U!v=Vsc<~{UNYxq6~mxNT2;SXDIQct zwtw_MK49S{xtBzx0c@6XLw?Vo{E~m?r>XSI1n#f)b=VUxxb z7!j?B_OcV1RmH?f=i7qf+lJ{&Js5JeKAYL&0*B{f*R`+tK_Ok!mh12R;6%5)v-=k( z5cqJ%_DsJQ{AsdgdO+zx!W|Pa|FqFc=RjK5|UBK%U&7_oq*&{uegSuwJ)- zb1BVZiS=l1{I5=N-Qqfx%u9M3mS_MjVFKqf4Uq5UlpdG6jyv2ms%6cjv?bMBHUCDq zwU#@|cWH}R+_#HJJ$TpGuEi11rK0gHy*Xq}JvrpR*Aqnl1Upjvae_6nN3BvDcBHz+ zb&Tr?*XhQdkl1s<&i_--82>OXihOx7@>j+aPKiYIKS#b_7&n3^e8TKd4uHIkxW96j zCHNhD(%mdzK*AmA*wlyWNS9RJlSCaKp-94GjI$VjF}`w_&W~E%I!a(3z`TI@E-}`l z&m}B`#1B_8joW_-ID=LHgu8LB5)_Z`rERWJgTVE!I?oy-_)!-v7$u|ulrCOgdKZ*Cu8BqbA>D3GYJIlBc7r;ZB%Cf zy1?$aY$fIgSJheJ>Rm5TKH1dAH;r=QT2n?@0Qdi+1_xxGP*Mk&Eavsg8P`a zWTjt;&yj%nE9${6idLgIh|CR4C|Haq^*y-X5oB!Dh~x2qA(M-VV;P>%WmWH9kDfv%4qkz}YRER&N#gB{0WLO5F{HefejYGT$TJ(y+3p%M*K0M3WHxhscj~ zK{1v7GxBdv+{)cHs|L-qKZm4JoJ^AY|ZCM!H$^*OSQ(i#NSLIuG4*3PXuy{Is%^mQ$ zd8<6>FIX1|-{1GwGao=XDN6kE+714|+&wTHT7&d0Pad(~GV&u@<*7G!C)mSp;2M!f z`+lE)>PdY^`tz3xA{2~=ERY|-a>E!C@*5i5nRrId0baJp9aoLC0NQR*vD?ggkS+eP z>gYJi&&n+gBb?Da=&PTEMS>x`>hzseM|<`m?qihiLk*#1Pqe_oUsn)3mr1AT=Lyg4 zw$gjrI>1zRojRfA2An+4A2o@3!N)`XRFrn!@Kk6ju9ZG-)Ysp>sj{9=9psO>syGkEdtRQUTK!AxdLN zZ%cJ(^QxDi7_i1s1RL&gg13Pe!s>F&Nau>{R)zK7kT@7Q7PGqy>EO?f=ky!&SVEbI z5nM$57^T4$DizeXO+U73%C578J9U4LU!Zn`QqyLgce)NRWOY5B{Ix6i{=Fc{#_ou8 z+l!*@hNwRd+E{h`g?vW@XNyG5c!4X0OXqx*12``Js4g+HgT~4&&VA@SO?CWTS(r10 zKfwnZ#B%+h_&1l=+5Z3FLbqc6-%qi3C?zK2)$h%Ed{&YXe9ayh5 z**IrJ!lmzhoA-`(gn{YE+I`cT5nzD)u{q0;Kg)>qt8V1K`UR>sY)~I&xV2T3(0DRdlDKIY~e%c7TLBA8K9_}H}EewK{_XX`Wb?Gm*j{uAC6wORdNKg z_~n#1%@Ktbg(M&Dw+1l6?tVG&1oG$qcfKFZD^)4;S%LiB_S$?cYuL9M`6hM9RzdFTri|bUyQZU7}0{QDlACho2Glu@_{z|^gt`I0} z_jzR1m{f1;CLY3uXdddRniF69gBfn;XX#O%K|Zpgdvp{z^dUp^gp;hP8$7SS@tI4} z0Zu<_V&Dz7Bh@XgV_Z+TPAz^jmBs&Z`JZ~m_=je_0^v0KdfO$u0{cpI7oDe}d#R;A>%xJ)O1zXdTS# zkYZ8+z8598!p`dVotcvwek>Bl7|9X!W#V^o|Q8evVf; z+{b4e2DN+aVtD& zJC{b_K4Q+Y`k@^1xeL0)nW>`V0q3oGzs}r8dbau0GR`|r@S1*YtA>XYc!+5pjuUi) z&bq5#y&Wt`{R-}5=5L9K?Nts3%wL!4pVn5bM8P=?)0+uszJ>c9-0!sNa*a5)c*9U@ z$ldY}9&m^dfi4OkFty*k=3|R=%X=sKd(qtc?Yp@Rwgx{C9esVNVA2JO#0Lxba7S zo;T`e|LO2?{tWh4$N9$JicQ^gYu(_sOQXshnj38MKVD^H=KzPahS=Kndw|#%b-}HZ zNcY9A#d7JoKb)puuX5Vz2`Rt%Vq`7QJ(J}QR%&MhxO^_-HoYU7bNs)bmDrNi*`Ncp zA#mo#p$;;sV6c<;lWE0Z4*7>q{0PwYhQq!_V++Wa=iqU-0d70AKbEpOKc5{8Pv7`& z91?PX$n?ei+E1+^wY&R48S=;9Z1|+S)y4!aKO5ij=a&yiC;aJ)N%w+nJLL;fUi|02 z@9A{$x%b9V(CZ{x5OO*cf_lX1CpDv?VCVPSOnA*AT{!0#RqIU__O!l3kD-cE8ThpUoiCk?ZJg~)ZQC`qZDgsu2DNG(ZU@KZA)L) z!>hbO?@J<=HJu`1zmHaKfFl6i%l-f7hVRyepyriGIDhq~h{JU^U<}c+$Uox;u|nQ^ z1JYbzvf@_|_0B|M*N(tf7nQAme{_D|`a~R5UMVbKOO6GTvTZGIZ~MT7@(MHZaA$aV z%2_~-%AI;nGYN)3q}5rQ~o(wEC}60Tz|js zGMXc4ycZ0={LmNN?ELliz4Zgd&NY@Zvwp}YqsRDjtrz&VYpolda)o%Oo)gW}ZeSmC z%Op(PAD-yk=ww9u<@j|CpL3GQb%Nl=u?be$_bw2$cDA17g&!>P1digHb@ayz9lDU|nD^{Bm$LRTcUjXsg!H9=J@$)!t{+#y(KA*J`L9|;%Udk8wy zy%B_(m5+t-`#FgEKAj7VFYST+fwgYCgg$IrUnaY)qej9dp+ODWMDa*q7x<~-$8}rx zAZ`mQ!mtqILp$=7f+? zwAYN!H{C*8*|4-1PzO6oZ)G)sIul;cJYFZ@^)a=Sed-CB*2a{{>?W}LilCA_i!;nq z$HdmXb|&GDaDU9A_$Rcl_^*xzW{c|RTbt-q z*DbEoS3bW^S5>3D#yw=A?@<0z(BPA3nIC>&_`Sc+CZ1|lhh3-$1Y0m6VW{LpJ@0j=FyZAQqSz>^3 zUnS+yhY=wCaw$*|?TPX`UeblVQJ|w>llgV@3W58G`?mf=x!1kHtSBK^R~-5MZW-6G zSh9mf<+k`-v{%{0QT=oV<@ZcEzkd8l-U(>0UH0aovnKT`xR04GrX+8k3I)tx##@eN zucE#AiJq$m0wkkJeGl$;KFsaRFJVkoQfA?iya%Y#5-$j%94#nLaevgQFNN6q+ z3qSlHUjVEd6Z~tkPv6&r2-P_*FCh>Qnr08)bSEd0_7rh0F3x>>#OkS|^idYR@-=cU z3!8$#qbpNnsV>048)g$DEeki^U31PpZv%gCv1h$Nd0qPX5tRYKzA(cT1Ih={e8Hi4 z!aN$~ozjj(45^<4=7~2dweX*LQpov$=5MAbSI|toK>yZJ_+n z6;(G&3Y0H2663W*kM0wB67Ferh#)=bC4L4)!WP`dehPTDn1gz#H1`F$7~nCprTZYK z4>iW~Rs)V`AIooi+yU*0SwB1dQcFg*8#I5%=1q(g+%c6XZwOl0bv; zm*AJ{3E=d6a60h z_J$wLwAmjH`9RbjgZm-}{XwTEav)%@KRo*}^zcu!H+-rWo>o!tg3sSZo}B#U4a-(< z?=OTogXm>;dG@cyz$yHN+z{#ckF2Idbv<$g)!h^8dlUZiI)4A}jI8Z}K=Y>WoEmyg zUL@c6w29_xuvOHWzx4!cp6(3KYx9I5#$N|FBVD1Oy+gZ|-3b0Zdiwdzur~CDsWspE z>`FQ(U)(+i4!lt#4tO?+s^{9m=5Na>XDvHeQWcVWNWTRhoQagAlM;k`wqA7g-iDx3 zSW&&`xf6Oeg{jVeaD*&M`y_@oDbl%;yccfw+b0_MA71yM6Hy2Lp454}zshitKDEMD z<2a;^>*O7{Z2(>m@1y$~!Nk0e0>Sv%>T45gOiF-775^e`qmhhU#2HeL>fZZ1=knyj>kcwIal>&q8vOr zKc9N>jw@u%JuCBli1hydaG|NV-uh}XALO`*YBt%gDaYbOg1xenmDyzLZa4Ts2 z@vE~y!le>_yOH#zSeWfet?Wk6tK4mGnHG8?;m5F~K>VpVh#z5URzc5SA9u1S?eGl& zNf)hfCDCX&w^i-D7;QL2#OT}paz=Y49eZ_@(H_L$;nKZo*0L}jbB#*kejsSb>9f0z z2Z8?Q62;IWbU)3T?ooFx6yDVJ{@RWF=jjK`t0~a@kYapakx3Wwf!l}{WpYRN<}*!m z)#ro3^T(gR-e+P#{(|#(C%QMhmF;^bzfS=cxzacN9*L69$>#Ah*ZSKeiFcGI1Klq> z!SROX@+NO4!uX}J`>(Hh;L`G2!QrnA>3qvFs|KX12eqnizA`4O-xoGblDq?ehUN0s- z!wzrg=GhfG^41b!{PoYtx_FZ66xS`T(?@A0Vro3{P+uYHJ|e0Qz2lBKvNG<_&>lYH zwgIGiJIlQFv3RBzBpr}6_HWSx1}5%G??hvGEbDuRNmdh`ht(}KOU^*N>ninYG=sL6 zE_A%K$WQ!V-QqgN^@Qux(kN>6axa=|{#QL?{KL4oSfA&-=ZX_Ve9Z9~O4KLeM#fR{ z-}{!V;ZCp*PYd!xkom?Qrj306G46Cyj%B^;_JnoH%7J1{wbQ=DQN5m-XIhF(iKYx%2fO^L7hpn79++y+;*_gTX|9z!i?(YiUzQeQ<^3 z`c1Jb_7GJYc-RN!z1n504D84<0*|!Bo)LR15}#pyi*33@J&*jx{+s`Bt{2X&z`o4b z{|Ni);JtCovsm|wc^co_;Qk2nZtTkT6HXinu-;{-xA7$wnDcuLfA35q@$;svQtGuk zv1lLubX@_;nZ^8$dH?LunJsqVvB0TPs1vOc1zF3bXS8KeuI|E{`}v`<5Za~7aQbXA zf%^!5YF@5gX#dsq^NFg2Or&SL9p!KE(+NWtbnP33H{+qgb~aZ1d^D-=!Tru(zo46!C%l33YiR9T zFXU6-RuuWCz!#o2dEQXIZwtAW<6@=AkBP^YK}5s^@yb-F%p0_K`n2>|>n)^j_lr-n znEZx(Z(_^iSz03?Q|jFx3m%j=>1SA!UKH((Bo^x{?fFmtMAFsgi9Mj13m_(InuCU=VgY|o*vA3q z7vp@shvwq?{)!9DqSH6;uh)%kU(Bk*kqDy*s7!B;Z>EyUhv7%JpB?;I8mi$~O{mIfTa>!WMY zfVLI5d#QZ6jB+{ss2`|JBR}lqN7Y9H4AFg2`AJ4Q6KBxO3_DHTVn_O%pf`WYjxHAY zC;f;QLVla&wgK;o3t}OWb^k?+b5ZbpPWYnD6Hj=l?p^km#SV5nd?6u#^trX{*%8<6 zJRotytN)x;1W+Wh=er?Y)f0$lZ_TPQ zk8y$hE>3gJPX2(;jpPeH&pMS@crz83#l7qdS;v#a+f@SKutPwq)pP(v^|mG*`{qTQ ztsJEZ>_Yd3x*fr9E8;=SH?Ps8Bn}k6O}PzcJ3)6tX|kxPGrSN^o;W({2=Y7ujhVp? z&>Y6as^(=6e&#!0x+A^PsL5Ghb8nPq^38WVeUAgQ@4wO$SB?CV{-mv5I%WGjR{@~!c{TgvN0AlGSb$;9U!Sko~)yq(|M2Y-~XlFUI9(s{p z7u;B_$C4Qgf$h{Bo!|7plj}!b6{{oE7357RE=$3KeEPc zSVAa8hDJ@A0d#Ba$)6JPBAt`H<3E3UonZipyEj}D6>MNAbS;!w)e$@#g1lY`^AI)_ zdFgINQeb+c(>6UG&6Rs3I}-V6h@2hu#XBB4!j3OD)3~)UW=-1?pWAg9LE|;#}mEN2th&UD0pe z-=lSe;k~cqe||88Yku;B8LS#4TskeEd;L&J3>HGN1B6_iMk?w?!Lthk-?d_ezspH1LeB1nlMs13_tj zOF@BXNREBKqX_MNZhLJfu=7L+F#ejTZAWu%_KS)f9bcRwU4q$dz(@{c=z{8ul_W{$ zWXC)6XY#X$hkk00X7^$og@+JW}H**7#hw1M;3 z^2=8!x8>`CHL(%n3VRm{i`36r!AHg)+~4MHpmCR&B_q;d)&=C&hS}Qy<}=K1Ijd?c z?=&>vzxfa6ui<s!qyFI&XJeMf^EYaD1# zsa8Ds(%wuGKdaqvZ;;K30Y3{r3(uHnAKn)02|c}lUs`e(U9)iVl|-lS1V zZ=xJJyIlQF{x}$Ns}p+oGM&JEM2Oh;^9u-{?Uc7LPba%UZPaGAwH)%_e#vpAz0e*m zt-e@)Qs@eob+!+N<~c#u9r6daw%U>U72L-p^_(GVI2s9&%0ci%w8%pq)E8VF1q}e@Jf0_Jh-YlimpjkZ$N^j8+VKp7U_=P329D z0;}q<((^{4P%5{RrhNy>$^EDMilYk@eJ=hVpUID6a}8C@ad4%zRVetQAE__Edxsni zWhU=N?LpMzPE9=01LHmx`&{kcW0Um=`2*wp;*uS#-$qeCIbWLjq$tb{8m;|W)Neb( zmXr(en}bTAboLKnP1u9^3h$vB$v{9BP?6Vik?uNrrsrD$@@u&wMLW)ip5q(XyN%ft zh*;4xYtt-Rr1zEi`pDDqj$n8_n%k9)c(V7LpSW1BBFG=)5-$2;2XFly3Z9QDZhG{bC(50AdL&)y zlqFn}nu!@3(Se}oww_gVFLr(M(9voC|I_Uf$^zt}aE$)3GA-IiIxK&SqcPqUu6Prl zMEYIewa6E9^G>vP=xis{?}YT%y<3ugTn+}kYtF9ki;$1bzjJdpJN1a{Zgk(2CI9i= zGeZz;FYAb%M*4!P6CXXbJRt9a+P4@jKUk@qJWX*&kg)K!7z&?E1l9Ed9k$nKzNp^j zvlY#+f!v%WWh6{uuL*U+Js{0XWk6$!vYpq(i4IBvT5S!fV23x2fKQ4QUd`T~A(U+7u z!ckq-b)gk^`0fyKGV75C(Aa)utfjYrN7Ctr@Aw@+qq*wEKBT|P^AgGEO)v)CVyPOp zUSnv!ViPFYsts;lbPO{mU7?tT?d|{Nt>M>AYtdRy<{;h0Ve9PtU>&II$z!`^kM6OP zwVosxp_~;Pb>Q?wF01+pRiY%I zO)(vvw|LD~-?3lDq;ut>@hqd-&T%zV^xVaE=3U>%i1g1_MK)W*f(`QjsGd z!s2uCYpXp87nZWWjL)oV5{W;;2Bz!zi00~Fj~p0}Ktj}|Dqpr!M4&>jg1giy0^`z> zW6JB)?V<2gBdJ%f4Czlcw^LkmbA?OW5?)>1iu#lfO!=J+Uhu2-`Sw;GXYl+wv7tH@ z3}g4yN8%P;!OUu>dqiG1T>YxBrsw7ZZNF<~$h-B3mS^9?rb{d#fA4MDrd5nX^WOdsZ_bAuVpve}zxFZOy`SWw>wXDBKt zP#s10R>#M`eBXZG5z^kNXU$#}fm?hswr;llP}fRl8-X}B(QS?sfe6wj!^8#bDR2l24$le++@wdVbzMY`yI zuMFJ`ie1D=j<#ss6A7s9bDrJRsZ7G1bNtm>1$;+Hbu@I|vB53P1ZeL)lxJ-;4uG6dMKRsvOF{UtZTx9ybG9S|S1mtNC*+KD9=QRE7Qv|Lz zDvPSX4WtvNGWKvhTxt!O7WpN-VH*lwTKS)IZ4SU4GP6?I3IlkZQ&xCPkc^Nr|9+Fb zk%z!_i|ZKI6Rx*++=qrz?Dq5EwV?&zkP#=+uQI zYW^&`qdt(|VyMrs*Oi1j#vjSAbY}*@oJdQ1cT6N;JjOVS@fYLk4{AYUhfi`O9>BbS z`L2<&x6_#+lEe=oqd~9PRe8b6KSkoenh4ZTT^?aT&udksf5K8i{UPRz_3sEKS72UA z=sIA6a__n+=flpr!t1HfrtE4f5}#py+Yc0#L3`Ne^Vi%z_ygv5 z%=;4&KR)ak3x%Sw9X;Ev10nOGu1v0jR#|6h36|gnC+@CRj4CP;`vMP`{!eixQtGmc0p*C5h|4FVTsb9f;%sGuq z%D07l0rS`1X2z+YXQ6QCENmlti1HBs^*y-Xxuxzi_$VTi2;prYyreD?n?(I~{rf4z z-XaJ8FDJ7I=~u?R!wK0$0@FI5+;j$E`abb~f0ztJoDC1rk5VUOnQr@=zKJCk2WA>Z z1(JxcQ04Kd!#CmTua9)c?v+8$_TPqE$uf!W0W8URo)N@=imb*+Q5k`C@dsRW12g^7 z39|q9vl3f*vHa7DXcp1=xAe)FSS;!H*q1>PJp=Psz6E|>+9#Kfogwg?5Bq?w^nZ2U zpou3kZ@95YSDYpSYz{XpW?d(gC*Ntk_q<0iHqvWu6{#fZ#Al3J1MU!muf481&fg;b z%*k=29lcNF=X0nH3Y8EAoRj{0%JYbCe~yS!OB4}zM@nqZOXLtYJ7xq{kGcVVzdb8Q zw3AA6iP^X{s+$veM4nf}bdXpvQ5hMW+)7hPT-M|oqX;P=V!~>cIol%%+X9D*y*1{L zks>A~n{$b{W^MN-B>x-{aqzSdZ-hU@eJb6*H^hd&?e$?7gxHl~wetR79ji(m;|>i9{5?$M<*iykE!h{`61B;po=w zc3tOrJs*$jJWsRe>ugQfn#ck#-Tq3c; zLCuD>BbG^6_r3zJCqn7iLDem*sKGic-r%Raon!`v89sTQa4-d9*W{5H+VvRuaFgd< zT1v<8x_Kz9LuA&E!k+y;d$gsb7@N78G-~oR3!{9QaL46-14tR{lNb&egIkyN%33Rm zupR9LDa#k>*bH{~?3cx4Y^tf`@8iey*y{GJ&+UOx*w?KizJse}*ut4dU!=aHjfuqUJ(yF|;c;V@N)Sz^Nl#!p%>-KQe7EDlZB!t7B0>VZ7W zP4BZrJ6|=H-*WttO>7NDpYeb$yP^`)bXBujY^cUer8B~J_0?en9fE3O>Q#*E#q{B- z17%o%!HZ+3Ka^sWXNtzpEmUA^2C0J*FY7U>*~^L_R5Q>$*zesPwl}ad-doD_e6^(4 z^>x)p5}##Yo4n3l-f!!%?UhJ6$|ud(iF=q&{MR-tC_2hQDYzM{Ojf1rlfRA0iv(+V zy(`6-i4X2t=p|#r-h!)nB_*Uf5ii?viGAmZ%}M1)ADykjP94hL)Tk=JBAl)@#nGo@ zQ9kpsnsV`&p+?s>OJ@PrB5S>?+%p=}tJU`_@6X1*rQ25+ZfB6{YCqjE;{Ln>EbVvT zJ*(;@O#WH+oJ~m-#?P82^(xN_8@egav&dVF9nN^oe0XOXCKVrXDZAzhCMZ1j=q`UT z)^<2_IrCyEmfZZoxo|ZLGyk&LwC`OZ7H4A4OXM%XHda2hj#{6>curZwUuP-B4&Pi9 z=Ah5VdL%zfG|y&X0(JX77L>+fYgr6pFD_oj4lgqO=t+(y;Q}Q#B$Ys5hHp*OQrFrY zF~$o6HR%`9uz>e_u058_#nkV)b`N)Fk#K2?!6GNxGYd=163tjR9gm3=QwQQ;RIl!ycS^enRFY%7qEMU+=z z((IgXiqa}cb#g3@Xx4nA4O=;xs&LY$0(*hcRx`gS$ENqthJ1w@EQY>tprN*gRNtjT zJzm|7wHUq55YwX1RZL>+86#ug73{L}ld%A^JZ!i#lZ-GIg^m6;8T`4LiB$;*{WLW% zBH_*sVK6qh8b#_O<-VUoOuI5LBjW3OUJrAzTQQ+upWG_Pil>Jrbo?qweTw%j-lq}d zgDk?n*D&7f)^3w$ZkXo9VJ_)cH5j9M_6XNjF{$6Kt72gA-@ zPr8Q9^m7^B*2u+p%X#z|PL*SvbNS7DWBFKQ=F_cF=W&h0_1i z&p7_!xac*dcvTDQg&6q8;4D#>`xITAnLXiD-3%ejIby{65|FI0-*{EqYfqaEMU6K#ty`+Nhb z;``Z{ogKjxaPE8CFxx#H>w@pQj$Xj9rZ4V%Gnf zh;5JVkZidWkGY#`VsUFomvQwdQ|M<5Oe}t1ID{`D9@qx$>*)qG6%Sp$Lt|3rVD{z61vmVn(4c>jZ^7~Nm~+f%}GOq}Tymugl*AS^T5*zGaO9sVqtcCl9< z#w$)d`2Lm%=Hka%cYm>i5qXh-4qZ(kPEjb)@gd**9O~7?A`j^1Xie6hb%8zz^iThT z{Mqs%?R-&geS7gri9!E)*j437(H3Y(dcTcX55ymXA8gS4^*kWw3&-`>WcxFeffJk0 z)3UY&$8na})9&VQW;9Y;wgKhTzGIC#dcqIn4-RaWFX%(vpJ{f&vJN=-(^AHwJo1*i zl~>udRzh^q2)tV zov;(YcQJng+Sfhfq-bu2_OZ6;Hev#NL%?|tWm?@uq!T~Ahc@o>9IyBacO|JUVmyo-%aXl$(5E zy9|#7D)U87MZ!lrMTtgquQ`3IkKywR0{nJ5Kt88TK>NO)<8MufaP*RWUzZlzU$%Q` znRDC*T$ISEG$*ZK-McXe<} zW!J0|^AZu-?z1RY*qMOLPVs&#Edta(2ICI38)3AyU z+>-Mb?l#iHj`$w>nK5;E9W_}>H>?OAKDW9r{MG_a)A>QO4M+G>mTa3eX9bvN^RKxk z6(Cbt8~hpQ3(Jy}Jb48uzr^dA&rt6PjE<*9TA@W5*1M;V|Ls?X^58ldhN^>@Q;5{T zWZ^?#XSOVqi0)IR7mr*0l|%LM4;NhAsFl=JSg_Yt^=wI8KkqHx@kmTCG=O>E(NiCH z%fLq6+Z*;5SV*`;C3UBGq;XODf>P9F%P zROYm}>=R#wkk8wSCpSnSpPoZu&3q_#P=bNoiTr^VoayH$;^i=_VZyIu$0U_`o6e;x~Ky z{ouu_^v!w}Qw zz=2Ecvp06w!4ogJ+w{9MpkYDvg~4$XFzx)Btm17(!kw9Dy364UdZa#5_~rAK?T;1w z@}RjRxs7}mb5l!lV0u{JLt#-3`7-1Ts`R1r zykVz-rBZQHzi~GGs;9}OaegE`#&H(MUmRaQy?Z}4 z!5~HA0h||bzVlRWz3>A^QOv;bP^HFi$#Qn2zp2htMah}HY<+y$d=UsgN1wTK+&o6L(wr#Z?;X!%} zhTPRAW%NF9e#d#=Sdx+@F(??c&PFoYzwn3OO!8DmRDvLZOZ?zx??9l>&fT0Ni^A|Z zf`{h4Q3cXZ9@-+q@;t2|{Y%IPnO$7q9id%eqSPF?JPJg}2%g|Z+aIRbrS_qH z*Q3%Z-~TT8!@yeyiQ~4&uS_&qGnU>L82{#!RTulh@S`{CgQ!mE1aj`gm-qwjtFZWM zC%uQxe{+&UcJs8UNC-qduzh?3@jX5l;J%(ixnBgo(s^R|=a27+;W;ua+EoSCZ-c;O z-1JM=vp|Sr(o*Db;>3Q_h6U-hD?@OI^q~}5Yv|9s728rI4D}(e_8i}f{DK1i8qydO zLFZMrhDwPO^xm6#v2_v6Cq|vdb6zMPsES@)zfcLbO_y&(pZM?oEAWe5snSy)P;+e7 zZy)i5GtQ%j@^7C7rUM#TeBoAbGj``xb&450dbhN;Rf*;ar-3%b0zYuF|M7<{fB=z^ zZH|6O7w&!G=Gm_%0kD+uDcnL(7qoYL-JlyVhurg(J@nZ`kfkrFmtOtP7l776sD=yW zFihTf!Wl~+0L|~s7mpPM!=pKk^j*gSfkrTZZ|5@Fw?8^MI2~>VCJ*`)*H%0MRQ&JE zq5Jsss1uXtknWksB1Ned<(2f8=FU>tIK!S4!$Z%*Eup+4E{hWRjk5f8qgg>d)aLhA zCU}qz<;Tke$_gnr!0V=ue`2@Dr(jUL8FQ=?<-17SrjB<(eyJ-=>4SDm$hVRst?1#J z6P9{9K(2%-BltbndKI0K+2DyWU z60h{^f$qHg`$SV$$QS7o-hO2Vq0V2Y+YC`|$v6{FHHAB<`Oj1l$UJ~KAd|(I=nB6l z-nr1EIKq4O>DGI4&LETYkycLJ7IqTG>u!qafec$vjEt8ZJj$2h9Vj5edd7ujiAe|2 z>x}n_5_sdhA*kcBSX-Dn#1WLE7-}q`z^o}?XqXq?JLubJp}d%VYq#z(-!+5AR@Sb& zNEeiLu}5-8hc-kdJ12G9A)lFlb+X}G!c*aW24X)2c8C8kh6maHceK+9@YZj;R_PKW zrX%)oKH&U0@SfYI=#w`A>*wkLiS#S?RL7o8mHH9jb=y^`oop(kx>7VaP2rAwN>r{F z9+{rf1Q`u#5o7(o}>qdroszcGgH8{GN*O*T+K z_q}EX>22@denl5~!W6Qj=nI}B{hYRN{---b$p2c|GOE&SFZNFI?uN-VGmztO(b7~k zfz}53!i!qka5UDrt^bZZMAJTFchYu%p(q9N@i8|NE(BLx{c>YP7&!05q>RaL+&dTc z^VpRb0{kh_sv;o&hq46r`m|H3BwU)B>C!!UA{dS+#D&u91VDL}*KW1703f_GiaoR( z1ax_)iGl-2-=8~iVZa*shS3$Kk1F^>OhdlYH4o%(dSa8~$Xqa-e`55NE7l*z6+(B9 z=qo~oDSyUmX>U;Cq*DDX<_m`_Wx0;#1;9>^?t}KJejsqn*S>`U?SIO<97KXY5S68Z zMVlZ9C7&7S{S*S-A41o3&ilZ6k7)DmqEN81ByW;Lc*D^#Vk-RU9LP3ezV~_sNp(^; zR$!>sdj{zQ7xeZ5q4K&tQ5tU_tJvjkwcZO_q=E>vx5Cc#~n^191dmO?5&;Gfye}XXQ>1tXgl&=Bu_;-lK*f=B_e6?XE@3Y z{ntmUN5v~0$Ian*B#|ma&=LBM)YVN;8Ni9R)1ak}a(n*uDc-kup9(NORWf!2xHO?Y zt9nrjZl-4Oa-f{26002U@1}~Relv_FzU(lt2hONJu`6-%U{LU9{F$UNs2r_4dcQ;k zM$b#o?K^A-D)BbbuXxR%Lfb6XzzzAO{_9)3kMVxO`&4__!;CzPj+kIn} z3mJ9_@W1@`Mb@pj%ntEjz`IMLx6uBJ*JbfVq)Wr|X>s1f^F?r;#r+|1p2qe4xPA@i zU3~utzhA@8k8pmzBXBX4V_z`L2*%Ky_Xz@=-*MibHF=uC)DsL&=YE^Ex&?w+aJJ96 zsvxjz`6!XI5dv8@p#s}I$rwIIIJ$lk9bZJc#5ksjF-bePOcunzwP68u)N@^T_Mm<4 zJHq$Q*4n_LdfN6Px_?{P|7=}h&XhE-;B(A)I|vNA{LGt)OX)`U zt|C=IW7{DRmq*Qb+yVJ0{PUe+9LnXEKzrW!Jk*mW>ANTx0FNEKM`ddM)4Som=l91W zB~+dyVfcKC@6qEqdwRb1MJaXxaDUQupA^#HH`l6PVieKCqNrbWo$sK+DsNj9_oF=& z?;b*C^oR^(v}#eO^Xh?oL}0OJlOBv2%6FC5I0JPkr_mGSJ7OSdYM!la3mI|y#sh>b zps_;JW47hLIcfdjS)0?`KG1C{c$|C59XOvP*v8s3!feC0#)I`%aPU^@{4KQ4eO-C% z?OF63sy8;kP|OzqW`m8#0TZ4vZo#)T6->W7nIXr6-VJc#o-3co`*X83v951EB3U8#~lH$8yf$t0`iyWxxAVzySd#F zPAKs|teExziHFe@xt-2H`@!2dK_Lm-)l-{kmx1a@iPGFP(jT&kG`#%i`Cf63T}Q>< z3MiGYu1TIjdoX`pE@j-Yg*8U!%x&a56>iAB%z95BVoL2amj5b2g6{$S+8_r|%+Awq z!q9WH*!vOejS;-C%(4te`*qLOMT1#%oIr0d#x%0R4X8`cD+z7c0QuIX6$f>8uR9p9~LIlmarKhk0LF?VVoIZ|VG9x;^9cu;=^3XIX}^ZU~dF!lAySow1su#L?!6E`ylbv3IpteyaR z&6hohDoB6mqWyBy3gxsN91_`Vwu6n?usE#-7kFiTo}FlA548mYF`E)7ucRflKuz>A z)U0iHE}lf^9v|Kp53smGMzvoO8QR-P{(e%J9jt)fR`tA(2GS*5&Cy;!KID53vet0) zx|48$h9JPOmZl9$`Q+3)(4N7%5bO?2aD=fi*8NRyoj}tjXKMrHQRBEIvEnW=pO12H z^j{4W452)=;^zYjjuEh(u5fTUJOo~)Ma;Zs4T2sHX6ZiyL9l5#J#l3LJ)c-{7z>+) zf)n5IHp9vw$T(U0=yxB=pJsn%sEp>pJJH5it!W^XCGt@>iUfnj%NOy0^twlG47}G> z4~9Li3@#LVgTR{Wqi%(76dZp4{X&0b1RNq?=jT$7g6~=v?>Dsvz}nQQBi@8an5J6# zz;PMnQ<(SsS{2X)veUvLokPl`IuTd&@Rk`kgEfDDo^{K>0W2W?D}nwP{NjJI@teaK z2%6~;Sq8eK`o1Xkr*|K!KbN9GdvSFlOa_&N%VGZA{3+}=8{cmBb`PvrO7?$5{57i9-jI#n;(=d4M6i}x|!Pk6t< zqZVNU&;Q%cIR4?dC@VRk5_{MI{*d4KkXA_`;f8elwkCDF7201{Ivsh|3|d+J7U+$2 zNVv21i>Fu6P!CQzKRZQBFeKqIjqK2Cp{uFsAF2V)z_!pqpX10r?&i2iiFl%A6oO zYs)zHrXAcnbbaXx1Jb2WP(`Q95a1Gd$451JXYfAw>!IYJHfdhL=a^QrwnCcBV8Hn+ zf3~f@$tM!DwFD=|>!V0>4?gb*n{?h@33ma5-2K)W$I$cff!8}dHBi0pwQ20xWeV2T zb%rV*y`bIe*$&(5o}k(k@VF-w5QqG}biJn;tIzuZhrzjF=XxK= z)7*Y7xZ)30lj8>`qeH>VFfHIiO9&h`GHvpg_b2&sK5~5EM;{nOnv?d^?a99LDH0gG z&R*h?{%?N5b79I%fAv3<_rvh>J6vao=MZP!e^a!HbcNIHy_b&~N5FSVk^8UWE#a82 zu}b7_q_cUIcGwQ-oK;V7uiR8H0sCsAC&z|vvHt!yVSmXotnY_;J zB8?O5k~Va%IzR+*rl+xfCc&Vrh{aDILOH`#iR}9}O&~XpjGXG70raUK=M6ylFM^kU zMa)V(m-2|wP%!$T5iJ*o@`kGxc&L9O zz1w8fSP^>8^A0@+*>N{rdoFGXCy6HHN?OQga+;V}BH{vL=Z*!ug8(QlO7ZxH z?iq8cGx;~ayMggJdyc3UtQ0S)LE*?JR1cQDTCoA=caM~`ANps2z@VcSR z`SK}08|jBwb$aeRvVnSb`nG)?E+DS)+&)Ln5$uK=cV-K?W7~IQx<-+&YzOy|!-Hzk z;GA$E;o|Q|V4n(0P+E6}<*_90r&2bcaer;p1#LO)6gb!RxSw)F7nq(~P-Y(=zS^Os?le-x_&=@5;`r zG20%{l>DMfIswh=61s*TZ+HR2-n)liR(r#&!5#LU#x4+bSN&yEk}LQviLxe6yMk!- zz{HgjIe&Ylxe(pkY9e{K4r542EpVpqz=?*ec*;61smktT!) zefIBnrG;B!U0o`aM7T05O4TXDMye}4J|#2$bzj(TrSVtqoGK7bmi2B+%fri%Ua!;J z{6NOIuro?q7jn{s8j_nd!CQ|b*o;jdIByv|o%-eq{x8m&QJ%GdT?OZj#T&JukUw=a zBGC_^*WgFzsR*#qwqAF2IE0H>cvr-Ntik}S0ghiQe0B+R?r zbKK2=^hY!c&NDt9BwXM~sv8fWID+k7s}qjCK?hG$hGNynP2oO`{~V)~7BF1175_;g zL&Bw(@@?DQWc>~{$E#8R79>`Z( zmL{_r&9P$}=5&8NA^OPWa#a^}U)axL&lc?s#V=CG=H5wwq)6_VRH`E^XwzKcjd2D$ z;iv~M5Bk9~T8htXC%hopsCcIYx<{ZVJ1@m9?GF8RTwXaYKCq9MOZf03gm~aQm#Q=32wXXWI2cKWuIT0`?8Jv z;g7E0Ox7vW24ONspM$BE5Vl>Jv!9ws!kvem?_=BYj7WVHutqfconZ}6{h}OgU0tB@ zX^-N19}%2x4!ElPbtUyF-nV$4(zs|&H<76UrOemQ!~!iCe4@55JK7aqaol5;=2If| z+eg<%Z)U_3K9Y(X&6Rer)={!?ZMOlW?vixAU7-WaM5E}+Iy zoi7jX3xC4v2$R*VqF-M*!`uMJ6=4<|5})DxraIW&E~l&m|I2@`P0wAhLwOo6je~@0 zGDG3}O}|I(X9GcY?Dkc<;9$Uc6VIn5@$A3+Fx)>I_lLy&k8s|_^=tTkHokv^^D};a zgwIDfzvH~mF&=T5+aMHPa+pSBp!2rTN}jpL6d{luJJ*3x1i|s{38w3hu44EcF`rT5 zDBWuhlC+-cEc9qE;_~8t5JS5EgHo~+9aaD$eQbALBHk_?H(*@1ggs1ix)0HP1wOCf zb4+UGfY@<8U%>gRlx}~Put^wLrb*rpeBei#d+>ROgHrf|(tUe)y?xktAM*R@C+r#6 z(QFTUZQEXSAs?~r3*wHcCay3+MJ>Kh*b$Z)>vjL4JrdZFDM!oi4b^RZ$L4IUpn0Ed zcTS!!9MHYDkZRxs+Izm!zcloQ`VH#8tIIy{X2Y%;rzZD(LRH?Q7V!^!xG7lz+&;yw(z_q#8ZYWt&Hmv4+|s196h=n{s| zoOQe6RA7E7D+e}G=sir zL#WpNvtfpQu*fDQ8?T@QVk(F7mrM!Jq&vHN@*dhNwNii06#CzMR>68;O5jBxh6ry|G=-}=(*K(9=bMVk@1!+6rFWFiV;WvVp=MQdvr9r-jPtMiZDB8k> zou1>b6@1~j3+v_*wIlHA6tWRfPQ;Cn5&8;7D|nD9dVMM{5W10jk>&{U5$&C9$id9f zd9T5ykc|uAbwjkdQEc)n0DfnRoFyJ7fFScx>y^jI=Xzt3<54p5U7}1U+i}zlQy&OE z;>2kPnMsDJ(N{ykI%itG-Xa)O^DgujJtcrqy>?|9@&#Uy?+TK?VF7n%F7)T4=iC+_ zvXbQ|mT662JG^gg62b5?C@CPMy+&57DJ3^N_9%*MN7lR;shYl0kwh%I;YCA zKBe$S6>R%?JZLBo|NX0z!DDT|KiuTOo&;VmksC7rwY%qUJ-B5GTj+q~-s~Cd&k+v| zmTo=>z9m;dX{`fHw_cxPR$<3>jQw<~|7Zq^(S?ReAu^=8THv{o`-VIa#74bt>y z`tLiheXtY+bEfuRqZ6m#2?NEcpc*w$F6yL;s8@oC5Q)rabYJ%RDdX^TE)nL{wGZ-O zR#0QM-4TsEyhU!CyyE#301}dM?X(mq?C<#!<$~d&y=Rm>*gYuS_A5wP1fqpN=&UI=`;}_>SIT|y# zXG7gNGOY?#>F-W1iOZ94snT{|bY@H-5LX=zd_=iOIIq0e#YhA+Gm*L^Ry=nMUt_rEuNM7iXT)Bdtc`@#A5eDl?U(m*F+ zR6mYb4Z6K!?0;DNV0kL@IK!Mb{JoVn{{ub$$(dv`ry~4&QJLO+DcK*& z;`ANb(f9i)yPZ@V5gtrF{82703N!r#7Q zb~*Z>^M<}Tm4;~K>)&re=v#WE0w)6Ru3ytOhscYrG6zO1NVu~ev$Dq{S%=g|Uud4+ zXZmUcv-_h`lxgfhkS6Aa_qr~m3FU1Gzpx?oDc-kupN>BqJ};~%3@@ir%+DW1I!HgM z;!Js4_!vFO`!xF;so%W)jaOo7Z9%EP{%g;M5`RY^z@qWVl)Fe|(G>F~$|MWACe>g5apg-7X&0V zsH^S$VZw;6P7~#h$WeuTzY-h(nOAE^&kOkh&YOErcysJTK0i3m;`wWMz6kE0jr&95 zyo>Amas3*;pN;b~e!qsFAL0Ct^ZvO9kVxN)a?UEL{FS8qL2$Q7EAO`eSTNto@lX?; z2g94!JFHSLe2$2yH1GC#YzMVex2d}BA-$~pc;&e$L)aN}BwUxt5R$u(FXSWL<*N(R zl`&rCDEBFDXC;FHXI7!Iy(fLm?P^p249t5(3pW)e9z zg#5ko&yC9x+~K0)(zQlePguS7ScPB65xx{j2)c1O!8n&t)F&og=-Rup&sXigJ?^-V zOE=|FZdz&4lNEOtc@Kr1N9_4Dxrt@||@95Z>z#%>FzxWsG#_bmJ7_POxLCN`CR43&c_U3HXHe z>+#Qt(NB^`JR$^`y_m@NGoby9M(RPCnPA|Q3O+Vf8URP47AIo@+~I!g&;`Xd)bBgY zzy0X)fdvk#ME8E=w|JOQi$L&&$0anJv)@r(o9CohBJ$&IW~UJM`Qii>C!(Q_Dine% z_e{~gL|;E?cl)`3F1DW|GF;NecZPztY)V~9xf9sjoBLQ{Ks!;4Av#RkW`NFs6=tW#-%w7N*W$tI5dX*RvV2v7xdkr@2ZbN$Pzj~Ep#(% zl5>JDn?bDa1D&Deh3C6#=;vR4I%Rs%(H^$PTiR!SyC9vsY|Og=l)Jan*`#006MDbp z$J7+KfQtJ;rf`%;_8|U5Xn3#>oa?4Eb&f>-+G%fN1<>#H)5hl4(Kw_xs8)Dua?l@s zc*`@MK<5kAUDuD753@{=BE2s2>BwpCAwLN4`6K?A-xgjkPVR|Oc8Ah={RhTquh3dxfd1J#4;V8l zzuWiL4IEXZvv!)G`*Vg0nspa_*b%iy=Zv=psZOLjFA8zqkptcWa_0_edmtD;Ju)Nh z2yD3?i5w4wF;O1XD_^jSkiC6)PuMvd(B5dSZF|g%y)4=MpcG~cgwH!3bI|IL>dN(U zgR3s`Pa2L1+y$Vv1F1`Wq& z_SHxS(eRFMFc0O$UEFN$Im;6cu@0|nqdk0}H}C1}=;LsRdb^~{e{uV9Dz1hCIyv5*%aN%E{;(d$v>BL02 zR0r~TyPnRUUSgpOT8AzSr?u)1@ifR*5zZGT)v1N(3y zB?w7sXKzZVL-{O6Y_Y>Zyli>^}l=is&pMJ*i z5649^?QfJ$)lQJfQNv+%06q8q!wqdyYS0}or_t&K$+&^r*_eSpUv_AP!jc);xhKc8CWQ+J_z zk$-%K^V|7C8(G0}#s9;9S~{sVxl2J%P_e(B=0!MkF`RJVK>lHmO#M_FmV5!{P1j#} z$DFN$0q0pfpBCq7JYNL&&&GKd_dmk*{kVP&=VyHX2)|#$`5ou|hOm%~r>JkRj~yq< z{{#b>V0DUkDe{BOBX5XB=Q|JIiz{QHg&00Z7<=gIe|Uy`Rk**r?Y)V7U1(lWFOw7D zW0ef^E$6q_8e*G2_ zkANR{HXHUzMUdtmeBL=-eCIc3KGFj{@;Ohhi1c1MAy!L5Uf``}Rn+#-1w=%yrwOY1 zLJwVt)I=T1FHeYAi<7p8>l~-ztGt6iB!QiL>9-sF?YPYl! z7Z2E@*_^fM>j`#9t3Vy{SHg4e@HrCafBgK-Y??O`L%vJ+*N@zxtZMT~w2d&Qw9 zQ7BQ?N%cxWKCWF2HTRiyAiFpo`;GFmeD-_Dp8BB=X}b?62YS1LdJ>_~0{QDz8!A06 zoU{j`qhR)3X*2NP{+rx~_OtN!)xB<0SoYo%(((nK6NO#jy2)&9#-tJqMD7wiX@T+p zI9c}iqUSX6&SK>@qCX5?^$;ne_k;IwhV=JcQ2s`zTeBF-5vyvB6?sqP4+6ppvpk<| zU_Pn0(FO6D*PLD}%?Ep!-t8Lc*JnfefAcd~c5A2yLd&ZSgT>4KpunBS%k~rbdtRKw zc+dEQNVznVS&17=XMJB+akYktclkaU$v!|o=_UCy%L!)aWUpOX^?{VJ-ln}FUSRw- zw`lURE6C17zIkC~2^>x7y6h){V5V%@gUQ(gL`E~CbPw;vW_$9t$Fy7kubbi%<*s)9 zp%CZ}Eaj3;K$#~kJl}=#>LUj*=?r(szqj)Oc|`n@&0r4jzH`{^}7 zO1}W`GoAVp7v;L_ml3S~V*;O=yboYUb->){ zK!FvyhYPjx_V3}cfSTv^xm5FpaG^1GcEsHZBytl!ctpCwg?65x*Jz&W3)n$1F600b z_n(_A2e|_+%a3mkhMsW#K>V^Cx`!P4#(6*Ei8qw{O-PT4y2Fn3{)oM|+@XT0EmjGg zqpCQ~9nYLM1DU#2SvFO7aAQ<%e>H9c`>SRHFDSW?UMEtgeKzh?ApFsrSJmV;2l^wG z5%Wrxus(j6%Hg9TxMuM%uD>RNka6p?@92Ij@_gsZ9(p_Aj=AVuam^Aa)U|s*Q=|Fw zU!C+R*0%5aWdRB&uN*y&et)WTeGx~{|EG3$_}2&5S7kyWpU~=AH zHMvI?1aCzZmZ1Hl>X8`}*{yC^&Mg!oQM;{K2TjA74LW4P)e`Cku=$ zL5!g&avYFfOKz=iJT|KUQ<`465EL)zf-y>E5;G!t;vhq_Debb@mhuff9C2KikFefqZ3 zjD$-Im-y7<<^$pC{{1`2QGQQ>LQaE0d>9-FzoU059PQPGQ5W|uAYB9{O~@u$Aky*P zaMVKiB_|UICTvK5yQOtArb;&$-aKzin?2$W+;?Bh=TV|PEkQLVS>)d$A>R;?vF#7{ zRQU;oKZ0QIxnENGzCn;lX~5vY7zBk86lZ)m!$H%rU(L%u48}B%oaXJ004+hWuQ!qI zElFlZHa;%`y32Z_mEPOHujvG{U=eNjGf0=WXieLSa;=x%R?1FVLt;T8cdLa9Fi&YsP@|lp zfRV}yKU$;@(Pn%60p$yD_jj(Wia3*S=d@QHhu9q(QXiGybvkz&?Kzuh_k4VH2<;&j zIbE6BZvnm$+}&T_xRCl3?_0c2eOPl!-CFeE=8oaWOf(0-JLb>+Ma>P21o^)e3lm8F zR`=Fc@*0y1bZm#;{_Q72T7^sE2d&p7_!xHzKq5W6hp3=7?#!+)YZc^o%B5J%r`HCaQ< z$VY^=^`X9H@zWgoIdMG3aTdp49A7y?#Xoj5a*=od z=LMYadYZ9xne)CRepo%=ZpMOi*H6W!CCDfAfXh-|0L@qba)I%4 zHhk{D?lY?JILEl9(P{F9&RLLRIgoE2d}1Ihu=TcA-%7YqCC~)mwn+0 z+f|Ay*SsKo2XZQ|(ESvuvN^r`jRzh z9RFGtx?}|1Z`+TFn)(34j87Y@iY^ESuO*PJI)XG$Nu|+uM-cdHe!)Hdzx^b3@hDB% ztYCP!<1XRyX@5{1oMQSw6%3I9DFw2({9$9At8WxNpAI|zB{ZEvxm{9;wM;v`VbP9j zcb1_G7%N(yqCx)Qt;LVOx2w3J{j;kZ^SZ9^{OaiOWp&9t;DUp$>l9o566Oz*Rjp;sS46m!`{+AKx5X-%kwjtos2w zj(3+GfqSVcelgt{uI9)%ucN(;Q%t~4ALt0fLo%<0(f-gmqtMIuB+z+K8B5fy(@vn? zdYi3*!4Y!JYdd$1BK<)<`w=#DUTSN9Y2Ccj4c5(D^0XLzAi`|g#;DmB;-5y4JH@)g zu>C3@qnSIT^8c-qMnB(7d9&aZ#6L7TxyQt-Z9$pqBqsss{7?K9D_N{}g(M5gNi7Y*Y^iEIRgQr(pgt4QQ1E*75h;S@AZF;y?om5u`J>=K=?}xw(jw7$K z*_7b2v1Gc=VOe+?N|~}~A_j+xnx3(Wo5Li%o)l*h$}ds1Z>lIMJ(7tL_v6kuS+4Kjub2FY9i?-bE2?K+I7xpo<9H!s7-hT?82X zc8IZ&4(-V{j!KCYNJ6HposC8a@;RreDb{mB=bis>;SS^VR4LINuqm)rRbR-Bb&eek zL!rY!O)mQBzy{Je@+CLY&|V_pQZX{}9#jhgVnt7`7XNb{}c!&?dg(!`}|;MM*Jv4c|EHXVU0b?R;2o#sO+&Mrnvytp!|!U zLJO3cpLj^+SV4SN*e;$GJD5E2BD7Ia8(OTCh&NFV%52}Rb>cR<_xguBr`NqQbt{ZW zeMClNT)Z-D1q`E$5<=q6Fg2pd5D`s)ulF9!H|e;N`V{Y5yiau;SX8J_UV?dtxi6;^ zH6T?y=oXD9+Q;i{G8IhHCG}g}_lo;M5gx#J<2hepf(;Zm4)MlkSwccn*NrN3XAI}PiF zk$4)D+Bedh~*tjnHN@Hr!2&}sj@ z*%2_s&8#~z>%T|4=&bnq|&>4z}ZQbhFuTC;Bi&{ z`Lz%~c*|!!;QkrqGyS`V#OEP=f9uvs){}WN5u|zKd(I>7O4%^TlGu=?G1ta$e+4`T zrbaew(M3NPN_K_45s^kZm0pip(*l3wbDEiY>76yUC9m`3$QuGizUkc=RG<&4{?Ubk zNy?b)RLaSvUrgA8of;yG5414}nZ4qQ)sB!!#{7=sEXv;|c)K|7Lb+w@B_6(VM&NO0 zaEkdXk@UV=*d3QVDZC(C_?Lj5qazgZREO6zNn+nZg^y{l7{HrYBRXt~2u5OD@1OMr zL206qSdeEBI5*5@4x;^-?y>gi-{6SutJc|X#|MMZW{YGgnH~6T)lVE1SHr}7k5GO< z_|Y{RuO#*Bzx^b?eXNdR$3vh~uHhW78Oon3FHssq`$`OU#80Drfgo;v)$Qe)J22W$ zsT(&D(Z0$FsSD`$mwGs=jg`h8d@37n`u_|9#^QqHc@tkSWnT*GsC0wkV~gH)))Mfi z^@cOCIs`Hnch1%~c)_j@Ps0e6C`V0s*W!hIXTa;m=MK|CUS}k1#9iMcN4YvwlRp_< zU;4qRKq}$iV(8v8xw+H%peD8~C%fmuTRTXaOLH(mK45Cb@j`hfflzfu;>iA2nlM^* zWhr6V1+Jy6eQQ&+fxRi)rp9Y}=zb>ZQ;9D>X4-MU-k(<+Yc?Hyc=@R#3}p*wnfIT8 zg_gfailL2(i)}c{wsJycmcv@-1y`u`X5<^cg3dWFgv8U2nL}-E6wA5CP7pcc?Kh0> z!y@~mXZ^&GpH%DB*#UNcu;KDZb${pz0=&UAvH@<;d+`>n^MVr`QHiULszG}0%>z8F#D746k&k7WBLtAgB4qwr6Y;@}Byn3h& z_Qt`Zcy;6)D7l*Po|Z7fqR)r&yY$+^*M1qBw`lJ>wW!8qmfo9GCrPuX@~nv{M_7X5 zsql4um`n}24T!hgLe01{9RX>+Rj8_t0Kj zq4TaMvMNabxS<~DafJxynUf>Sh1|ewEh)c{%^4hjk-e@>ia{=8kt{^r7&!4!AWHb9 zFoccI07eeXP7>zE?%4)&ERQ3f>?$^*IafEz{R?3Wk?S)h;ZohX_`&rxlml`55BKXb zls8aZFj28L3U*t`eqxObhq%9zl+CH3kSHE{lFKp-Jmc68+wlZK*d7}TF0M$}Rmjjv z*B%PFu~U`*A6ai6j&&Dxk7r0knp7eYnMxsJBHKJ?p67X<=Xpv(#*m_@Pzi;KC{Ch8 zC}m2KQl<=zRMhXh-}gE9^Sj=s|G2s@x7%K8?aw)TujP3p3K+O6DwR)LfYKv6)8M!G z@3=XC!|#_dU{m+dfx{yfAQH?Xe{bG>JrPbyfBD8GWDXU}$9;C=K32O=wAOljS)SC1_|?2y?wSsW z`co(E3Is=$w4o0l ze8N5w)TsuN+i+gb^nEtRer@o25T7>I=SsmT!7agQjE#q=dZjje*w(Z3%GDO64Hcb= z*5G_MRCIYw7T%Zr2XDLIT&(W8WDgMwx(B4g&C#xu%g^WW-Vg0YlP4Fl4d7QLxH7%Q z`);qo?HvU1d}P(bVoOt}e{uT{jtQO!-frCW@3i~u^&dPF{v*72SY`dPHr{)BzUGUm z%}o~yZ$!v?B^=mj3T?Z7`PO>vgC5TLaJwW%M0iK!Ms;9tpfTDs>&CnHrwt-}On8>? zFX7j2Nn!VhRy{;?fan6zyIoJ%Yd7Qh45AN5lAO*C;d#&@gJVCc8FZkoD3SJ(rxw~j za9UaBt`K5SEbht(mqRhP(|?cfvOoa)nmr;nUC{dn$9XQ>%K*_cqHnUl_ikMsJn$d= zOZ#xRpuGh92)gU68_$b__iF9wG2YQ&a5pciAS@J!ZtjXc9$5K29*EA`ao5BRgdL~o z^!_RTbbEXrMe=Eh?vi{F;-5|YA&EYd{eH5)M)aNNKDl2b=SQSJlDqPtsm?P2f^z0M z#HO*Ip^CGq&qnN;hu=f@rKVvmrDGH@q9puh6&G# zA5i^zvr!!HDUg1J^f7zKuBCLc#{tnVhMgNrk|pE8m^*y^Lr9|ZJ*3~+GD*`~5T1<^ zjf)TWDCeS;k8ZvV%toD z>lRAU*KYZ9-ZKe^%xRH6iOjbb44Br@DJLMx_j#Cu@%aj}_)+rqY|bFXe~RSfF&iik zv$JYL(G?*L1MMipy@M}kk4-%K{$;nG(B2Z%@-=4aR^&~TxUVwmvC36cU-&}3{dpBS z#qjyI>-+1dcmDe8RP4(-vCrxRUDG9$ICJVHjni55o?hf?{;y)R)4L|`lFAvhsN8>x zcHRNV`>JQuK14s6hlE*~qMfVGp!4+$>FSLaQNz<>EhUeu$jIu2bN;IfDE05Kd|yTw zlJa*IP0TfcTyt^L-AwsteEI0~jk{^+@EEthU5-CIS3G1o7QHex$Gn z&1`s9;2hi#r^lK z<%$ZFYBb#OnC>)M4PtQ~mCZnPYqT%W(mw)ro~S&pv}{D`M!HK-;r8)F7UB+xUjtn0t+Hyc7_jv=dr5tijiXE)T%Z0ye=J8PZ-dDy_Ssl_J6vZ z`rtYW$~x_7GM|XPyjSm?pT2||AJYj+E?h;s7sB5E>Ar!)gn|M@6K|k2{+jTIm6y@W zF?GNB_6qcDbbEAKat%@}kUH5`dIM$m#_6n6J%_68wpOGxUqO1+eDuoaucBo>s&q}a zax_f0F?xveD%yW{^#hIgbtI!Us>jKejT9q#ufz03RDD^STD9RK8hYvr=cvk%Sz?)b zId>(>-a1Xc$tw>Bs8>m$z;pg<^-NLX`*QddR!-^RCHEJn+9owIK%vyiixRQr*fWE2ssz%BXA4>?eC zU09GSK?SKkCULKF5dVaj!3nu+tu7QG9<@EGBYq`F zC$+!X>qZIUL$_1IUhAN$SA7gGo?b+;leZ4v;3z`d1~wYr4mpEXROve=x27Qzspk?0 z-kn6N-vjxy9-N@?!fsn%vji(+bdL3U^QB==R3_8AP*jqG-rs&d_F1?PSxKLKtifJD z;iZ5;HI|0qJhUYAJ({2I6tbugJ}GRTgkFF9tzYGF20b?UQrBf%OyQjX!R-ePmyc6$B)MtLGgvu|-re6L zw6p0fdReCur*iZ%D%pIq>HEHN3Qh@b2~O1+n9sbreH!umeP-G7CIG1)OH2z*yN0wr zU!wn*RYJj=PzAN!G)FZuDzts2lv;;`E$w)HuH>Q{m)9OVoplzi3?Inu_qmK-kA!~Q z`>P0z>}NjVJ9wFbTY_VPCxTOR(b`YKJeU51XTpDk7t5`ZY5EVJM`AXgoz83KP{59bn)fO?S;I>+1&lY})?d~lK9}}J>{7d-NQ*W_c z)S{T814I{y-mP{dUb_9MfT9meHBnE0Wt>6Ac@yW{J@MLE)Xm87b$bPZAcD)FCVuSYFQ0v~SPs-ox_(YLGHr-LP&qtO4=zx&@=xUz&3 z(7v5!?E6`>(ejtGx6BU*AU35F`*Sj4faoUkSEkPyOy+3MKRSCPly5=S?Hom?S>1|N zZRgX`F?pNpiMQtv(Or_iM)F07e>U-lB>qQazn|zk(S0(1MDEwf`4Q=lSQGXbS}jjf z`iQ{O3Cw3-um|&CJp59M%sAlr9GG)w%H%aWDT^r1T zVOMeQFf{o2_B4*VL4@z>$()Oxpe&Hfxbg_^LARQ#&SM|K{P(X~LiPlJw1wio%eUz!?%Xe9mjl*q8n#_d8w<50C~Uk zoGqL;?ghhzIj-WskHH`TO0=7-j3MHQ2h~k{9^k+$e53M**J(lf@M;ijFI8*{WW)Clvukac z75|-!^0`s{r&=ov2D$v7I?npRLsM(30PN=_Vx*xz;}ir3#l2hloUCB}ghz8Vy-yfJYdD?Uzn82fR0rU1(oWXbB@W>B0Uznuv*gJsl z8`c-5UfhOrG4G6I7K^Xbg6fv%$|76wyzxJE!*hSV$@3N;XpDZj)N{)Obe~aqf1|Mj zDV1eQ!8tuh-C&b$wCIaYE(@4%0wIuF(u{J!6y8w0P8DxBY_=?hnadJ7k; zurKkQj8(p)mhil*%}j391+JyChq?#`fTqAOU!yvnuXcSYa_xf=w2phWrAuIcsMsT> zR?X4y^VOilJt<#cIrVES%E%n=jdGJ4G(DSRi43TN-Y42xqV0b9`Ukibkg*`QL*Ng6L>2SY zVu$N7wES4IXU9P&&}K}bOI22eEh*pVXuB1WsIG42_b@XswtB@en&1x?zZt9sII5sN zjW2JSmDpg5OXWqb8xk;J_WWb>DRyWvKC; zP18n*uVngANSh$i_c5?>xT^ zBz1i`P5s^k@9RjiG#&H<>e?I?BNHb`>gQr z9SSv~>&+J|@SXsDto&74EhP6SzAqp_0RmFYgOUnOV4}g-^)dEK@eZ&ydBbf7dDf2G zcBNy#0Y9bddPo3_V{`=ckK2KgW!~GHE6#A5m+hF;SsQ4GXHNc&{d><2I!k+WdBOE| z+fDa>=)-bpW-wc(2Bl8olXk@!R=MH*(y=Dbbq??}DwJ#EUlu*61lCg11#_%Vo24Z{WK3%TY+x2dJ}X zD&^NaYbkj1VM^wMIQTzie97-%isy0Tm1zZ-fZ?ql_v~H?3T_FG37!Z}GYWcEg9J?e zgJ;5jgcmQ3%f-L!)dSx@(zmyii6O!p8H4`Q#j4X2P^V_mt1R*a$q>;|FB_cuaJAQ! z3eSNOJtO*N@b|ocsIBgQ^e^)5Z_`ct{o#?sF5fkcA+TpCBsTYRAZ%YqJLD3E=SBX} z&3bJCS}R>oAUf-R^p3Yjt~*7if3dtWZNt7QVI|2;gZg1WbeH7Qk{nl(Q%3x=i9aOq zKO*{0bf3&;lldcZzediF$T+FL}oC5FJ=*Y7x=tO>;aktafSsMtc!;CJ2Fay$q3&+kRG zRsC5}lt1LCC>ifpvxX;w+g?ZEK8o!5k-mfYBfMc}eRqN7-+i~1y|kaGu+Q_=>K)f_ zK8;7jzubTQUM`kx98U>$lVYg-hHCK-Bc1>Ll&!hHrt^Z4v%)%ZtUNa5x?>4Z8z9DJ->F_ zHy6PHD071baEHlYYmXeKH;TEXAfG9 zQr`UZ-mv?%!?APAcs_Oqm9#nbWy&a<31q=O=RDRq>;?1zknz(-P*cbQXuF~wB&G(y zr>CJ(uWT*Q^}Mx_wgIj%*_&K?4DYRz&q=_#gG!;s4W|3N*|ffR0GllXJqMnXojen^ zrL5ZtUVR(Zyt~gE#;lr6?$BX>YF(qLf@l6P;5jZb#o-Jw2k%YDPr1P7V&}31zF^4H zviG3X!8waFL;29F09WIA>JB7%fx3K;@L#+yX3w~LwvWyR`5C*WJA_%`vBCeXo3S5s zgF^W4bSXB5&7ubH<*_nIqN@S0Iscm7+I85!X>MZ0VkH5Im za&b@DX$KMyes{SD=)uC%q{aMEKj>tbJJI3n0df3ipKD`(sjxou;`)vQ=v@aJ!}Ilu zXf!3F<(h^+=p8pm-+|{{<__H1OmL}Gh|3R7%0J(D z=7$x~yD5na`uM>IxnKDTDfn{Kqdd3{PC7_14-$ zYkZ|PY7&MUf6eWeCyt`Od4Hbv`%1$*RhAod>{e)*$Bw?|hc`UB^o5@l?^~|7FZ0^@ zGLTXyn|N<6j4KAf^N}4$PS_c&g>BwX%m>2hPZu8T{$>ri!}qwI&X_~OxSYZD`C!=P zF=?oO+7PG&HIl}*`obZWvjqkn-juphOtHNWoQdF{J~U6)910UxnC~YQ1VTpe_Y@fo zKX^8Od2n)5AOs|Q-K!WA0KeTmzN7{RLC!%a~UjC5( z_KWeGlW}nQ*5n$MPMrVo4=;>Z<$W|1a0H_WX^pGb#o%-4QStDQ0Pvu?miGY9;}^Wh z^E%e;LgA(B-s@)8f5i8KVf6WOcuuuwaUe`*2E{k+whApjnu4*lyX-XilIF6p6JRlqs_UQs1|S3(}s(8bJSAk={4hZ%34tNvcLQ1bjwZ zUHU%xLu=Ce?*gwp0qt|GKGcJsD=UIi-d^&j@Xnc%pcGB~JV9{OWZV!M_6hr8RQqOXfK-}Hw;TT#y&?=Ws% zbw>4~{>3f9F~JkTsh`h}j^H%B@AiN2O!$xRV)^WX%s!mYUQ(T8SFG(r;SIUk!Dr z0ip{;?{>*{-`KfJ7l=M6JX$Onn(zhQR`l%QYa|qe`7@!D7o>OuV9V>5IrOMc8sAy^x21>^8Z)=(ywV;VXwmT1z8JY z$`1qaULoC+b*s4l83}SZlWRlK&COYAqd_?Tis?4qt8+?maCV42(b4^SGSAemq|X_geo7!oI!yD||RlB)hvPavSyu3BTbWqr4YC zFa6W6kUl1{H7SsBZ!i%3%9!$;?g|TpR|;&F&GLi^@MAEmM7g z-XqiNLv#Q9Y%>=?+KDKa2;pfpb6E+%FN9?!ulj#rk-Q9W8 z!FoIk@3*s`)Ueo$>sa-C%PV_#@LA82WToNhFax`yx9S?6ErCaSP9> z{l9<9u`%kqIad<#++#tth{6wN2-+6j|KqVa)cXFAkB+v7zmNEoONwz`(e#7sZ2=B& z>cdF4;t_8UQT((2?PD9*tA4({>Q zF}k5^?7Sr_s(mfiDPrllhIlSi@~fjmy9=m)pGKRN4d7nZG0n{v+#!5tq;A#|M<^&0 zghN-HpyrH@psH*Lls#s-e;WHh$jwd&Xl%gyZ0Z)Xhj8x8_!aBJHkpT^KQ8O6>=u8J z4A@*V*`@>x&7D+_do3xiJ5;gkKleQh#P&9u`Z*iJ+3|sOKO@zU{=;#v*FVgVM$5%> zrBpI#x-|S_zp)eQXWzKB#oaqDTIC3L6c>Bx{d_5P!mM#xH;o(nR6JP&byK$R zk+*r?*vSvjnA$19G)w6Ay8E3D@5wwnk~hLt7yu^*M=m>VHUJf)3Uv-GPvFzM@Y31H zjZ#Q9_B#(9z#E*5n=F?r$r1Aq3$T6+pFwOy(H6TT7m`GdmFX8ysz zQ(LZZoFNLXrdgG0<6MFHT1Ahpwf=DSneLt+BY1vL&q*cA(H@qcX7y%#3IN5lAq%TE zcR00;VV~12N3e`ojC$$h1k?uk=TiCuA^doU-Q7&w4|%nOsBR5_uG}%F=eSSZq4jR| z{Z>z?iJZye$G-=|>r0ok#6rPcV#e*mWEc!*IZjS?`og6c2J;E3Fc7>#*PrJI(70p$ z?USvl;JT^5k`wR$kvjRZM>nNqR1U52WMX?9)Z`+>I{z_>p?@dfmVc) zHjw(B))zG4iV%dfSt0XZ*stq$zW1^HR6*eKIp)j}YG25FX?gnDL7Xc{^Q~kS=O6?z zxdd`>dQo`isb+AwIzI0wIMQm@(qwaY1cN?FX2~iCYnjPt)htN0MP}acahHqls>W?0-_Ji`oDcv zrtq9#`Qg1L>KbrY(s90KixrAuQ_d@{HACOlw}f%9=px1o-JgUFVC0VEFU-Y<8OtPE@GA9SU!HQGB9^{u6)Adx;zcwfH`ZeE)I+RlD>xoKvb8 z61s^w6p{S9TUAm12H)%;>ajqk;8hpczB3*kRatk3fw1el&RH=qv45Wdbbmf=-te3YRdvk*cSM^b2HZU`uL^@6<1aC*<;?zBiG}3d(Y*v~@^F=A|_D0gC)OooNF0 zKOQhO?!o6HOR>kLPuqjrgQIHWZTR`CxMi1lm?toCa(ngO#C^I+HyE&*6FgLRoxvAurw;JK#n{&=oFobL1T zIId>{8kd!LyL22Npr7-xc7!$jE|*__Mh!nl^hK)#<8vBX*`%LNTdlDl`RH)*Ha~bP z-MOH7!WR6)SBiJ5Y(*u3ts^R{wxGR<`NW+(+%FY&t`1D-p)u*X^Uc7B3v;j7qjY|Le#u?>ybZwiwzZw0yx~}fvNl&=;?ljF1_UldTxxzhi zM-QF{9_=l~dxQIoZbs*JT0l{3rAWdXOL(%SJHSXG5WcOS=a4kRb-liE__a9pbv+pA zt1*ZF{;%LDgJ=S*Ork(Q?BwLh3P zd(0PLpStg#pWSIa>;*NUdTU#7zewsTn$JnER4fWAw8ggeolR*=>Tdn-@C8eC=hNj zxn}Q5jD}?4%vQyfARxRTzF|85XoC}MyHwt#BdQMHLtd2W@9_k26??}mn=t=;c%_ub z;zHr2wM*e|+;Prdq1>7?k?GhM`_wY3GROH<-;a;_$oqimWc6>x9xvFJtoLUFy)UTo zGO{1G#rerv1rm%5p3rFJbg{0>0S<>`cJc49fa&szVD}mi2;Z#qZHd+&JmS{T-+ki( z3`Y!4sA&2?^2{107JQ$_T0ShSrREGQ3fjFdUq^$?)*bVTT!FB}Ml-^JpJ!tn4CZI$ zJYdxP$la{f02q&L+QNV>Ey`2_8k2tM!!+Z{eSZ%tN}VX=dslv~6Ge$)slAf1mN27H zkHO=kovwQI{RMWsuJ4Y$$Ruhvp-M`Mcgk`4g#u8cb{lo z_Jv%jO(nLHo{+<`HRKRJx3OpRuMb|ubFKgI&I)zo3%VdLoWJ_NIMQT2dClUABm7V> zDcbDq3aL)r4-zd6q3CPU7C+4M1g8YI1gBPOse4a6!oFDbnZsYZoNzvH+G+x_$IGZi z!NqlWZu%d*Sy3_m+{|hNRckbo7c#^UbIV(OL7XEZ)FGy(FJ}+d6UX(DnHwyW?Go$6 zIajwHn*CJD!MR=k;FjQ+;ECXLqeJhOwh7z+;F<6r;l=O4K03c0-GI^NQ&;qe6NNWq z!fpC8=I!DAuHqjq^-?I~Qr}6{c?Cpx=f};a{OiijC~{x9U$na)B797Emhdm(*Lzf| z0&QFNQgndm0?|8Iqi&P9Z$CvJ<`#WEpVD@PTLavcU+5&j@K!+v!mBjOg3Cg4;i`zY70H|I8}|jRY&L zAOSi08KoRnpBVy4iWd zpQEWhXj*)+1ERZkqW5l~2sE4(_`+Cn)1EdYa1!U? z)_3&z;JwgwkG!p#sLY_({l>8e9%__(!^Wzpc^iDMqQ9s!7#<{zlvJC0d8d6SKANN- zBL3ql;$3~*_d_XtQmM?K_?JXa*zxkD=0lwzMDl^lU`4Q$3;Q#N*Np5xf%nOkH}hF) zSU_3GwB^Pn3$W^!P`uObfCT-sCe->}(Y2&BCc92a)ML>2`(%#_{KAJd!Z^>~OD(bV z_Gu5~T&7vPx?lxt&lppU)m&kZw^MHUj3XS-uxR12@`S8ABAJ>2N_gLK&Hwwi z9IKsjgVsFS49;el7Od=cfEG6o0W_`!pWN^K`Hl0z)i;^DzgTdB@zRb`DJOg2Y|v=y zmiK~|rYFxdyR6`@VuD_knjIvT@BF1v5C91rr==6U@c*;a8r92{LQMyTm%b<4!I#>b zAxzl!vEb{2({JfiP}kv8=X>930jV2-$Rh&f!vR1&5?>=G<_aMb6V~ZT9&q_<% z7?^+c<1zNTk-bjOPABUM6W^Y$eqObQ`u9N}Ug2EOo0*>`F6Z-sk+<+jn}R>M?5Jn> zQXvhqG;@9er%frZD^VM|C2%hc#s}S7&P15OeKVSBy-fz_oA|p)+4ok6qyECT1<*uR zyjlH;MsDaZ)9wUTF%Kx*aCO?`gBz6Ad9xTk{kKjE^?pB#^b7#E3MS!sytnrJV3Gy> z6@Oq=cNVpa@`T0kRVIgb<}meurmhvA_tMi|zOZ2803)np9#1%Z!Q=GMg6WbkrLIzq zo${*`-hOhN>0}x2%pn%+^S^~zZnO&<~Lsp4vB=8!aG;#na!b{`ES7b zDG!jFjvv#pc825|YAKf6aK0T!kKWIYV33@L^>sq=pfdBOmCzHsLjH;3^@Uud`%>`-)pvG4N&GY;8 zA$QANyKL-FM(X6|8&^id6j{WWB@~cZV}t$P^9pjFDMC>*#}~V2+Hl_HobeF_bs+V< zL-CQkRhb&<(DiwBM*`n7wDQ5DW1-OB$vF^Ig!|=Q^F%*M`!2e@((`(E# zgm-rG{M!B+`=JpWag`!P{kO>*`%qHlW%bGV>1M{*FK5jdXw) z4E!zQ(oc4T4+p~hRwq0mXhXMTA>RL8+>>FlKhJ}LTY_VPCxX+84`$o~BM$$;GvPnN zi}Pl2mK&w8|13>$wVR?lg*V`)?cRrmI3M@L;!+D}plwB=HGhP35aFF6<7;|b>b=lS zZG|w`*TIPJG2vOlzl2`{mL6?){?@%CQib<< ziOxRg;yUGI6aqx24HweNIIErDv(m%(Gx&U&=&tfJj&p6r_F!vP(3iC!4SxryWomU# zQuLYR(~|r(qVL2%oA^T#|0A;BPxjZyd^VXsBKK?L{D|~N?@msc?pVQo{4LMgYiYgV z;_aH`&AEXvH&jgj+}nxLuaG`w1C?yg21Xws`ejGce0Tb-8%Y1`6PYQ(`>+4>J*3|W zc=ax{x(1)eq+H16$9_%Uf*W%O61+fmXL+FST|7?`YbN4Q=m&OXPyX;t`h!NVxa`3V zZlLgKsIlsT9~dyqw`;ZHzKwd#cfDhtpthysjW@j~oX&S)cAInsGFP?k;2nL}Grqtr z<1IEww+9Y)GyM9A@0W`Q})z*&@JVe_>epWbpNn!T~3A-a{D^VyqaJNT$L&r>eLPZcjB`oHd+H` z=S_9q|H*k@TV2s8>_~ZER8Qq!E;`F&A5@jrol_#P7!jm?f$?6;z8xlVZM%=*y<)1` z?@kUN!5WXo3h>_V#U}nY*thag!7a(HN`>GF-wq)D!No&#O6KO%bA z!2znqX_#^`|JOcz`uMbv8LZ!3A8q7^=V^{~N_s~d!`=nm*L}CKFB9|BmR5Q%h=G%X zs?2t9F7f*4Np^13pl~IJ)7cqzd!A|Pz`15Q^fTLpmi)j}($hA3uNjcK`MI*i_VH~$ z*d`iN&n#mFS!Qehlr`AHF%#)-#Vk+wQwdpjm;GSlAob?xQ%2xwaPTMS~rFF!x7q*y^f1>`l{g%xE(Q){R2zYIChY z>fT_}HBmA2;+?gQk}s|&9q|`lzYl?!h{tmAX`I9N&+9S^8br?5_`{LZXXQ(el|eP& zLVJ;+I%+;4s(sDg2F-}P?}|SmfwnF%zOw7FMqT}ZGq#(>p}a7TCq6y7vYc!Lc#BxLFoFS0-7^Iu>pUPyHg+ZAemwHNi4fOMv|cYkMjTD9J)|Dl@=83?8Mqr4={Di}vE-HJfeo#} zz>uR-a9IK8fc*Zj!~DKFG}I;gy^S&fr(e-EJBtip!#R%KF0(3V`=aT#=FM(Uza+t- zjq`=#`PMWQS_T5)g|oI0M;&7cvmz#e{AFTr_Kn1CU?}R%9#-FrQ33bPFDH;=1 zxc;f~ZzPxFe%LPd`O!r`S9l^HF6mcd3~!GVzvjT_n-lxB+!(n$!FLiBToiSH<|&~) zJ0@`+vN`L9!?!%3OT9(r*RU(T=j{3X9N$YGdBnf{rjs|Elk0e&erD}y;{p1IN^>Hvs+2nU!SN}&WyJ`wO>EHN0DX|$VWi-0 z!G)H7Nk?u}V1Zj4qRbmt_EYNn86xI7O0@0?v~Lc&=-=f*F2JmGiIP7!Ym-U%DUN`cRF({s(Uk zy-yF6^BTjdl5%?gX)R>tea)t?#187d-;VT)GzAVD_JacLwqU#UN#kuzI|zIDF^GA@ zoPt||V}d7wH-+e`-!4xL|AS}3e}oq|zlc3+++`0Z2EH74ebbV{8+V>>W6zv2g1;{Z zo~Y}Jpg$eMb~jGSAi_HyEnF2Ag?4D`Xk&=yv?FX7kLh3VIE`wt_c14I{y z-cfZ1K5SX9O3{ZJ{pxsGf1JCip+yzfM}>53cbxY=fOSgmitdeUEhPV;@>?mDBI@jL z+rQre&q0J9N!NJqh?oVbc>@#;D0)WpP0vqh%rf}UfAsIm?)K}fLymBMO&aKpxPq!y za^VFB{2X|wGJ0me3q?0;bUOb|3ituh*>gu;deUKiCp!IN<8NwB4<~5mxbbAB*qNfc zxxac=?&3N;ab9J+{2E8_wLXTDvF{7f=dvcT7Lf`kNt{suc!`W4d0s3i|Os%~}%qF<_K zS5=>V!+w7p+sy?M11WtE>33SB0z~vZouJBv^~$?^JQwq}UUn7F5erwHnb3<5f%DFD zuLe?sU|Qkmfju~9QbcSjtK_XSyqOa4ZFUF&{V21`H`9Xf^GPGqIw_nF;Z-$b&uk3i zGCUT(YRZ(k^NHnSZ%lE1{hF-a(!Nis&^l+i-Xss_CjOJdLi!|I7={L7FJo8?AQ)(*@`o-w+hO5E}QK?=# z+_S?D-uV@XjPqijDmiKnf4pz@Kzj2269b&f9rmHU5#R5U_xn?5ALrNuI?!YEcE~GH zL=9uF_q*Jdhfup`bT5j`!1T%HbQgaQNR#8d-N35ueBVNLKv3+ndm} zmf9b{A-R!H#T8hr`0a=60zmKa@5hZ3c4#zpDTNvPk#%%>N@&D5P=0P=l4sla6P)um z!PIVj!U-4$85-iQ7=Xj`ORJ;E23{R9s=GVtFrNZ1e2{0AoIe|W)a%)y|~iO%pbd|PG1 zm^RD=*!=D;JBHq9OP>u_(?cr*J%0^iy}&-@=N{^*k1eydM@zdiT#;QH-HlN|Z z{CkRv7vS-Zk15ApVc2)JmT5hndu?l1IK<`&A6ZKd1mU?EuK5b(M|iKTR!_EYm`$O?xKEGc~8c=cN$=t*3 z)|A&R?KT!aJ{$&zTEq7?>RNz_Ue-qqc0g?ketaF*^iZMpOe=@2I6B#+IzkuefVy^3 z(;IT*9A9Ua>KuIkR=&NOb1ub~QYV@*ZfxT&I6r5D&cTLyobPV%UYytCtf_ITFM?k%_}YXAj1J4FmUyg;SIms$h& zA+IF8ynltOL+>7%Vxgn}5G?l|>RuBIeZ{jo0-bu%LZ;QUL?T(3)(aQdBn{jLFjxOcSr<0#(u5DNb&-%#xcHEwkr zv^Zz^=*ML7^wWXR=>6hL@*}+eRPOB_!{ZM(-aVAi!=Hy>*EaECJdbhpZ);76Q5^6z zg{I!m4}rESHVd)dFql4mdf8pv7lg#vw37uwVLNyY-S$y}A5Ob31(bW)R*cd6?A~a?Qq`voROPI(!5`fR) zW;6{$crT;#!G~9)L7?crVq%Lwug;fA?S3=(TuA8Gv!%!WaM}GxmFzZO3h#I~4?O?%4^9bg2~KaH{C4Szy$!6b zK9%f<&l&a}6A8C@;sT$_wRg{ZU|#-UF&w~q4F~)>Hfa77K#L5?VXeQ z{j{M2$P`FqeiZVC_us-5cyJDN=av_JAICi@xFt9ycp^AG{<)@h=!eUH@J#rR@Z$E^ zqIe;E58a=7N2oe_Ay24rO=VdSZ&1rLa}6L_BPlP_0h3?$sYNO7-*c{E=tieqHn5B z_oSLf9opR}|8e!`!#F4f)lT1uXjd|IOWBwvL1XA^%&;(tW;`^o+qna?KkN92BuoF9?? z$g{fHaE>+*P~G`IOJVkueueZgd_y#KNAbNJ(XWGkr?`q_ah}pb$hsws7)swm`kl=( ztHyaXCXklO`h4RXTUcwqRKw-x1TPvwc`Enfd*`rSGP*T5pDOdc+h2Ttyz|iFQCgfc zL9^5G#}@2Ymc|roBomDHz_u2=?nrWgkcf9-raN3A<3;@QSGsr(`k%eL+CGgN6?iY( zEcR3KmkePfdoB7=95wb+{wJr7^c^JM*D_?UZ7-fHB;Qx%)w@xLpVO=zW8WRN4FmmM z(sxijo+EKKy0_Qf9%|pJUGu_uI9Jkr-CDQUKu545 z?YrFi-!+HPEzbIx?U545;fM6wY%UcvB=vjh_&y61&^J^eZK4fhn=VYV+{1g%&3)!# z_?&W6vxKYIMg!pJ%sMQ^Z%uh$Mh70eIMlrxR9-xend^SqVk(fWp{~P@OdQu7+7%-Y zZ(gRc(o~wkoeT%x5oFn*Y$!=r1 zZU<+q^G>_VTA;PrjH5bOXN22!3alz>Qhx5R`?G1P4l^jw=ome`)eN?LEP#$3X7FS~ z@N-A}oVNX_$Hseq^x%SJJL9h-`tZ6nU1wL870jLJPBsnIz`lV~!8UkaxmcU`kq*5R zl&bRNMXQ?t^W=k(OhHL>Ig5U1#43hV2HY{+Phk zsng!O^=-jbi6uie7LfRcsS}2lct6lz&q=lK7%=~!aeS)DgG4{dz)tj7ssXu5Z3OpZ z>x&$?v~9Mg6*UL1gC)hayR<>yHoA~;rzUh3u_g+}y1|ChS-Ej3GuZvIqTlF%F68H2 zd-~>)KJdjKH1+S0NAoI)XB!gj;4w`{B(o+1I-Y)eA1Adk<#p>gUDjK)ATX z8Xj~BO68Wy!Ck%0;mVDc5HwyRk0+Wbb@j>cV>^d~H=JNHu&KfMS>A(<)9iTOK!w-y zNS(YLY^`#OiWRnnD%%;UOq4g1Hst*wBjHZ~+U$_zLT zGIzcb^#&>G6~>@mFF0m&u=c2l96Wi}d-s^8G8{@W-oE??KuNul`{*D(|M0Vr6qvIG zHf~n-`+u>oL~2hLGtR{zyl{NeOZV0RLn!2!NJYF{z~Mwyr+Ci-`-wjv5TP{&UBj8T zt-BN`yp+2?H0&bIH%l{BeSDJ90d{=66HxLJpX<=&X#ELthTQ7=e**LD;mj26FGgKF z7byHuw%pYQ!uN+4vEV$JF3AD8&-i)aPu>N8jLk zMW(Pj-MygI66e(E4n7*$ZF0Ta}5)#G2+eli|A3u zapy_cee>P{#9Zy6z0%H)9)EEhW^9n5)c0fK3iC7kYS^bL;i++^9b^U#hHaI10gH@H zvYH|Gpw=9g`4i_^UHI6a&ew$Rmy>j^JSjDy@Xm+Fs$0D9y)(fP*IeI)OAMwUFMRgy zQAH~_^e(Z0qfHKk9)HSN!25Xwrv$eIri23DX$l7WEY^&l^fpo^O ztw3MdIZ&5^TY_VPCxTNgoy&5q2UY%qXTpDk7ZP#n-DZuh#oaVsYw3gt9}}J>{7d-tw?_Yv50^9| zIzV)R=$)`r&(Dgr{6O@few<1ozsU&fbrrMB|8k*Kg^WI{~!I^Iua&-|C1#MZcmFy z3$=rvXKb(S_+bVQ7UzD8OJM(!e{?hAPKY5lo|hsz%h>t7;|PA9Cp!J8v2eoM!4jCx z7kG1Tu%_s4PBqP~O1yt?Cq=05?iovnf8fj``u~;n-tk!X?;9|gsYHoLRI(zOWjpPi zz4zW+xa_@0lvR{UB2kithR8=$5)CpU8AV2Ds8I5}pWoB_`o3Pz?N6`!x|7cHIL`Mu zj$jCLX{w2xlDf$muPV}Dp2MLt?sXK7nO_(X7cB1CPZ-#aeh z0rZkDRHZJ*QG9%HJ#uj`V&%}bul;H zgJ6i$@OPK;h=AhyTUl%-NN@K*f}}jUch(tsw?mzt1lMQT-sOHL6T3OqUMaLj5guh} zjLaow#Di>-LS8YN!`(R*{rj^U@zc~vQLG|@P;dRPkN3PY?0T0c7UGEZ`V-F#>PfpI z|M5AI8WD6yLVwG9{tnVV`oFK`gywTc<}#l-1C9Lk`Hunmkh&*^S|HAxpw4}~XF!(^ zp1f$@{_?&L=%pO(E(u0H0*}|p zkWD6fM2mW8zj{po!Nv1fNx?9RPz|~GBk+nBp(?6q|4liX*e8By_K}1?Ye?Lw3Xnh;>`-agU09{UBM?U6TSD&7$53J_XJwM4eZ3mt$<_V z0e|++aM1nu=7xBq3tS6%Lblx%3^nJ9=M(P*Q{w8C9~wmIFtATzupUP`Tsm}zy8H6OAQ5^`)J;S{a_MK+ahvxAg-FYGl;1K~R3s@MKbFHkTnwVQBMhw5*? z{@99!Lzz$y*OAp^*c}l0Bz`>xFfPOedWPFa_`#^uF5x%w+Tb}(5=^;{?pMhEuZJI! zAucaFMVrHyf=dETX*>MyMnZxNa3x(%21nX6Pu!w1;lT&4b-uAg_;NRPI?*Z-8j3X< zi;g5g^qPhmr&bgM9I6MYmr0P;c1l_|C>)mGz0f$&j(mPbZu+WtpgJr4wT1boWRPbj zb6ca|!XH{bll{*V;r%g-cIz`pfBVUyZ;w|ZVc2<(z{}T}@Y>O_);=c{h8^p9LS@rH z{gaJ>+IT$Nbi1Flyge0;hT5uY?Jy&H(iBv7i>ec>_vSKWYMCf;lD1<=*klu#*hm{T zSSMu*mt(Za1)EHX9>bn%T)ql~x%+FyzDXTQeD~D7v3sR%Lx?WV?E3bT47UbObnA{H zy|@R%#-r>ZfLeH0n#)N*m-oEHmmldNM5^2U-4aZ}9c1rlxd-(Pa2~avm~dgfkNm-t zvy$$227>-geJLgTZBP?n^}Xo}sz3kbDb8D*r}?Q}-p}UEf&1$9@)cR+&w4+1B>I*E zjO9=4Y(aiQIN!d~npV47szJ=jZJ+vVg9+YGn;w@A1;FPhcJHg@wh*K{?I!vn0E{_I zu3CKw1o@`OcxFZ~O5Wl;#`%QvbWO9AK@sVz{r~eB;~&OFyQDv_#C-yxq2v0AmU4dz zZV(LaEi0Vn@Xjw}iT|NDQLsKGE_=tFz_`PDN8`DZUlfrte$zW6KZ(G2jBys@FUD6P z?$3$&(ar?s0n7`S@8q^Le(7mI`v(8`p)M-@m#$|ZC_s66t|Kp)w|6^5Ta$@LIqfC= zDI{WNoO(`{uQzeyGyk=;VMpS+K)nh7iFm^7&#kI~=k63f!~8aEu{tse^#9?%4`E*j zCgDiX;=TUp`o#zcwfK|4r$vSXx=)^L6c45FWmHPk|9JOVrR<|x*GOpan!TM}=nl~tQQ;=BIt1qDgWsbjwB^EqgLegC zQw(5!hYcrHSwurA{WUJ-FT}Y4=DPvOs!#k3J|ZZ6$-~;Drxe-DrPn z?`tVMu~l$t`vPr@x6}KeB^K#d=}Ozy@>V}e$@<~m_mL@Oq*o4Nd2#GbT6cPgU6*{ z=!&TpCY?wA!T;)!=Oa3yZ%xTC>8x41pD&u2AZLv&pu1t>eV8Tl4ALVoKWv;#jr_bK z=p2@B_=Eb|f%h^@Mcuw|aAh^B?C<}6UbkOT zbTjn&U{JYl|D{n$sH=mpw5J=vA=7U)9D)pFCB6emizs|>09%*XvN(119!BcVu3U3=W_?b zd%e@cr$Y}SUjODKibCM1ZUZkHnkN+(=07b${l;?R>Gx_CA;6>jxsl5W^*_FByzm$K zx~hhahxkAYtVyMF&y&#IgyMLz4%*-Sqbf50%9Vur3b$jouNlJ@C2vg*Uou$g_C2m= zvjeBx!p2QxPs-}+F%RswW8p}6vEux$=xLSW+12o?j z3$xQ&5pfK+6y9heKVL_`oBMBh1LMTjo3k0glsMTy!_qgGL4t^oQkU~c*Q)#QQr2;# zhjV!>hU#FfLk z%GM#bWZ>HrsO44}1EKk@ChD{i@Q_CC50y#?EHW?K)@g=9BDW(A-%&D@6n^;KsfPTT zuRWNRbVvSvgltreGZ_Zn^(pM%7Xp8nI##YUC4=|PZHzReByf2Wayq=q92TGRl~zsr zLoZu&d>8U{eakkWQY;`03VTD@rG=3H-MypkvrNg*CbGV?5*h~>7i?_as$O#OfQw<( zJ8lbWz{l*n&#u#>`SYudM*{ppVdcee$kSRc3NDEnC^otvoq^1-H8ZEGaB$bL`1*EB z61?!NB8j4R$I;f4ABE7p&hmHGCEH;#$VpBy28Da0+cC@i?*~Gmhkd`{@a_=!u(M}u zV}ch%p1tZi>5XtO_|t&$5b~{jxn)Z_cxTtW(I+oD;W-!>YJWNI!hRL z)*x$Bdj#5}`xRb^PIJfszdF~Gex#ca z-<4xtUypP-->&v@83jWi`Fv2Z9h&EARb0*p45Z{O&SRWUI8WV~p1T<_`2HuKG5%p( z3>Y}^APv16x|!m*HzHq4j2j6|*SJGP(f+x3-%N_J7O?O59+dxwpMpE=_c`iV&NvZt z>Kjcq3i=Wlk1@_-{Kfcc7Au$u->pa3C7!b}qws^#;NQu-#Xz7AJht$D zr#@sEYNSpo>ky0%X@rlU5@9|4#op;UFX7x+mfLY%8$Q)k)Lt&PCvLb0mqoO*Q}_(? zn~0R3{LzDQ|KUF>(anE%RHNUgn}~1Ou~0DUz0Eqi;sr`+O)Yk0ZwhZNcd>6g8X5tZ zXJ3q|dKAaSQh0iFV`$)JX%Y+!F8t+eLi!~Ccz2%@i>Rn&Fo@kaUaHaW2Fct0@GH#Z zQTREK<$1hTb0Ads-RovTbpz&i%=6u|6c$Kf?F@_wewIk7dvLw;SxaJX#xZ{w zm?kw2{J;8a+m@Et?uP>F&;8H4>qubevUIG=9NlgF`~SXinG^ew?FqOZdt<7)#E=Z7%r|KFqxm@2z1&w}^5e|w7^r9JzQ_GL1O})oKN90Hus+1? zs4f^z;s3m8TZ=A^1vMy7=8C;y+-#&Cix2LypCud zFxu#e_6Vr{?`t{XYvwAw-|U*it0M$KN<#Yk$A-edUqz}kDbHd~q+8@~$q#Est_7MKXjsA=~`B_c^M8!vL zV3$Jow@qDfYO|=$J2+ZzbsO!UoX*+KJM2Y(*4aNDXb$&Dvi7l&OfaNAPwy(vLw9|G z<~F|z)S;^4MR3IrUyzP3@`~4YgOz)$PZW)eA%tCyQ_fD6Sa>fwIl5v>C<<-U8hh*w zE?s`7_4+vBW{z!_d4er*=5fSygl2sUwUhGW>?)*RYrU^xpN%gRengHU>DI78IfHF_ z#v975mgGxDec;*6Jq()%d_icTq=?Td48o`F{+{&o1>XVo$Hg{&z$Rg6_zCIIRQ6~5 zwUCsAvp4$Bx*@$bTaP8DzCvyIW$(t)UgARe+_NjxJ~WqNV3U`7Pg#*PB)IGlGGkRD zwwV6b4&UiU6wp<7eRNq?`Q;>C+G^@d(4XNc(ckO^j0-~V3#i#`TgC=r<}McqF_cD+J%mv2PiwHG;lpm}!tu9!QiaPvvk zR+pR<_|9`t-oQ@{3cBZn)zF>b;zNU%M#&zaN1e59XJid2{To+YZ+b#ni1l6Lx=85e ztZh)p4g-t}k4}k%Z85e3shVW-w;T9jbzQ9>2>CKU9gsZagYbNZbF{y9ExmT~tW6@x^WYq2>lT%QCrQLj!LyT`(?`OD3x0%D+N?5ZjGcr5Uo;<7uz84ixF zZBv6*2@sz#X54KR1x&B0|9+i`gw|GGp$)6fa9Fh}XzO4sL~4WS*J8vI9ljmoe`DcZ zL-@m|58{BIftRT^FbY;)?^%(yPlol=en;|oli?mQucZ&>QN?Vg{~ok$_~mG@f!F-O(r|H=RWD zbjH+y_U{Eju=c>}40oX)1$Q!MdCdGWy#VJ?R)~mYh4QuOJ}qatTYzI}E1lKUgT z3DkRvsQZ+yh;e3C-IxYX@GSVG=8yKEUe2D>azXD$uM1-GLB8mI#rV))38Y(x^A_hZ z&L^CwQEGxmzU}e-Pd;P(!?^hMj+gs^+dinuI&!%LH#nEn?sAmBwAM z`Yna$ItIl?J&CXMx%GA)djazq=C{>HD0Qyw{}2C_e{GXBH;9I=PhGnn-HCyxk5w$s zr$<6o#`yibx=;#l&JJ!9X7WzDE$1kz_rezBogk}-#xeaWDH<_$GjgI=(FYCbQI`v z?NqXCjRxYMKP~oO!~P<;j==hmSpNv$_v8CDyq}HtkMMjA*DJV=$v^whVTn5qFn<+U z(9zI`#RGl8Os318R7%~0>m7-X*S{ywKGT(BwcfEQ$k*dQe{`U41dQmo`l*(X;j8jP zzB(UNpZx0^NNGN~|1Kqv(yxjMUW&i{H4GYEgI9@y1lZhSVs;JnrE7*hbGyrgQ*^<- zTl5;6ZYBccvGqr^hQPEw)xeFBL~wP#US|9Af4bW&B{P$y#nI5F@44A^CYe$fB>T}E z&sj-;n6QEv>TKkL+rSgA^DzpNX_b6j^%7uI($0sEO0D5nvD(ywR1L1V>T|CptgLLQ>najdVyqkegfD>EuH+ALKn3y8(jX zTuI%d5Tsv><3?tDL10&KG8k7GKHBH$2O_Bf`wd&eK>O(1LRQCUq#JnGp4etY1ai+M zT5j=#7T=EqLk;SGeAnD1HxdQhH>mj*gVcbg>C@)}+`%yX#(VoD(uY)xZ3U)!Q{Z$Q zZ!`R^N$B2DIkv&ajL7=>RJQ@`#V~2={5>2c4>H!<91axQ6L)#SBsjFhp_AK0>kHB) z9{$?-WshqR9HDbJ;;?Z66~~57(oPca2?xeF76pKqtV4hQm_PK;P1`HhAbnSv^9_77 zNbmjcz5a{CfpBFvxl!@1Kg@91^uO*CfgTgFDrMPFsJi%+=fE#x7~6H=W`B?e<#XJz zQ#B*i32@vy^Bd2y76i7a){jsr60rxvHobY`L0BE5|5C#sh4_H%!RY8hynA+ZrJv0c zoUf-0atXOZ@CeMsW`t7W#9%Fa`++WBsL>g_%*E;q&G8rGJb#nGEptjr)6@bYs2Q4T zhmFCfTTG2h66rhaSwrC= zleW1B`uq0h=x=r2p24|W_1c$7klhv#h1CiInK0OJDvHHX-%<}Sc7E%qZbOA;=aN5{}1pON!% zr%tE{_`^`PBKs6xdmLB6H90WN7@A z9KDY4^>V>|8j@%%gbOKDeHclBU+0W3F1#^@aQ3AVv9tR@+Br%10$GC+Cp6NghWA)p zh$6k#*J73Kpm;QWuD(o+P_GhZ+1H^1io3`r<`U9?GugtlXRASCLD zL?oUd!@c=kLqmcgkag~Y;5jru=U(N0)^Z>OGTK5XjtT`)aL1FGK*J!snY1*BVZvz@PdsD02;lRxL?@b<-MAxk%-32XQ7%nN}JzQfCLWd6p*VF_- z@sbqN(rG_f7kBNRf~@DKvXB1s zrr?H(myLiXst+eueYoJv0T90A;=NCIJArZM*jVl10$WEy#$cu^JIjl}c#Lrt<1fZn zdXW!CZXfgr%mbJgFyFn-V<>sT5kldI_@+;}|97Ew<=@%tq)c78ERrew{7iJ1UK;t9ZH_o~mby0< zFu!BoA1LzAe@laO*!EWhcs`GVT@vQER_3B9{{0eLucm!~5BI z{|L|5a2+h6yxAir>2_uzVm93^p(K9dBJ)u2l67z`PU(eAxO z2&^zSKEJsY&6xtCHdKEL1KgJ?k$C-Wm#Qb=dEVV8$SLMx0KAR%r|Rg71A+a99E)$z zJbZ-3Dj4w<_D$KNbmCpcp+wl1byxKG+gOOb%|`nO-HWj6R!Qk*s^~k$eu-?-Cx9ke?Ii4suyiYh5%{#S& z>Or-6xwGG5*^y7PVeGD;2}7VK3}hzQoWQgH zaaP$gH;`r4`S$k%2_*6sHMo$j?4#t(%7fc|LB%ccwZ(gT5V>KYU+!T?`MIXpGn$=_ zM?lC~<_VtUP?(thS=Y*=0*THq$JFyYp^ty9c`?Eh9^PRuEpLwlwayxgOjI{p9#pLK zqw$Bf@cq9FI6R=Gn%&$x0liy!55zdfyTOvg`0K~{F7V2#E+o6#2hN+dZmC1>A*%oT zT2AN*?xp?2ngA_n>i3HGo zP5xMk;(~ooSQnCkw|7j;{*@mt#ND4L!S!C9*C!9K!y}@^3mo0wz-# zPP%=_mzRq~oGbQ$W5sPuKNsSmQsY9*?6G(_t$9T;sM8ZHw+peaS$G3Yf}7k-jSt+A zss!V+9&rDRaH?k1WSH9-8rl{b z3NvPt<5j0g;M=5iW)R&&Npf2Ka{mhR1`PK6VFz8~0h0%`V=MDqS^N zf%f0<=TIk0u0b~%E{o}VBnVa3<3Xi^$>Mc#U`|i!~onCZrzjQ*eCc_!@ zwweqV+4{neuiP;YR#%{pT5+_06+(%Vj|^wd4%b@2ksO=7?Z~GrxmuU$_9s7Z=`6Xv z;l3$YGKMmB4jMw$RFycLuP<=WujnT8&RzEsfb}X}^aASZ zJXA5|u3buiC55@WQAx4T`ox;_>Iv#|^CoShT|)bnq%-%vODDhv7aj|$&*L_g)zI8buwz~(C;%*bdi2s?22gM( z;-U#lx2hW@kETZoR_W8-K3Q_re*3O@W&}^K_b?JJJ!a zI%2ua3ha$Y%1SXvSBC$2ve~#7XwX!axxV(GyBT`&9U(Z1C`+-NkPIQTHk9WFg@Sh|dSokm;pc-N0QQE;cq{IOA9Bhu~f zZfkzAiu7{+;W5TpjK3IP3(H4C&aUqzFb`l}zcK}Wjk`qb!?FC-o}|Qv^U_cdbxdb<53uG=X@vO<_eh4 zFu!fN;pw8dRr^2u_f$KQtYsGmnGeTO5)~3broQe+rE(l(-<2hMyp5#rW-9aGFrP*u zV4gkac;(Zf`VdnB-qu$I!*43fHs!9r^PtR zDg2ynKiO@+jPhmbZf!j|2{6B7-ltLcxgsf>2-h?d>~=kghw#kYw1dJ4u#t1?g^a^V zfc4Ei3m+fztG?u3f7sl)4Ak zJB{wM42Ivx@YY57>?y@K=n!swe?Tx1Dib2p+R_uDz`QLak~N7kx8sSFUHFFljqtvc zr?dUeIfOga6JZ|B!6^{N-W~q58R@h=d~??I3Gy5G=POsl9rEF#OESzKgJCc#e`)oV?OQ561n%9n4AdK3=R{P$&Bu4GWYe>wNd<8R}MuoitWvOYV5xO#e7 zbf`THs-5N%baLV#*rI8Ew|pFUDmB>g_D90bR<^}^Tx7`pQg$zCJeUw{6EZPAK_c=Q zeF9F`n}8F4Q^zk}6}U1tK;xn>Ong@^xEgKXPcT}DUDE!J=H%LL_u>&>e*YDaQl?FU z*qN#ZKE$(}JGL~-r3O)cE{^BF7vDed1Nl!8Q?=&E*G}<4MKmox#O4QN*IaRf+1x;f z{VZf~@J&4_el`YTf_H!P<4J&qUlXskk)uJ9X`wF<=_9j9JKEO#M0NQInO_?uy7=NWq{g7$L6!%y{AuPdctP&IO& zDFXH5CQpRMT-k^Gs9KWVo>4}=6ax?b3~q}DQ_I)Ie}4qQ#~qF`{bqp)9L__O=o{z19=uS1xl(|CD2XNfr`g^rO zWVL&c3{?e8+XffoAw=R<=lQ$QV0ODmsMs@$klNC*m~Dc50|&nsyhQiB3BTBx9;%a( z-ctH@C0{L2e-RVFO&tLn`890;ce>XEm8 zhJ#>5t>+Mf2(WIr;aFu%B3g3pE!>$A2d;`ON2&KmLfYlCtrkUOh=`nhe;?I}S6JM; z*|&znGuDs~8H31=gZJ*IqRddBk=y00Lz@f_{6nhuAsvb>z{teB6oM^5Jl# z_0d;1Gea2S_gnNFhy}_1CB}&ba|pDUwR>>RkMg+?gTG<{8R_8gvoF%D)E+pE#rAPu zH6+MBm#Mu?JP98uiC(cD0fL&1wPNSH0Aj2ACK~IvVGy8O5C&*3tLo|Ly4008N}Qyh zE*c0#bLKdz*W9-feWA8h-OB$=3{3d6@0tAI18-<#Ru1sE!mgU%0Ud)0AZnf1n{d_z z_@5s7#D@I#3QFnc%oC7K=Ror=3L8xE!wsVg1J_}tdbf!UJwD6!<+o2kv^`#=r(ija94EKu`Mg>Sri{UGM zodIIv+#WsX{fcpc>IuwO2n0g+w~Y1Eu4=%|d{tc>)ipmgbp|e>`I=Uj)%|?5&xdho zEt;HHUzz|-AG)^lyvl%2Q)>MV;W;qteyDWMXfpJQ>DsNIO@Wj0BP;>i(!iVhkjSmv zDENG^*~Dg7Iw+mVAm0*CfW3!H)vkYvhy99I=dS>o)6*y`M9ic?UJ$GCIpb8=Rh`5g zbu$&|p)~9oT}neb6*@n3Y!X3O?%)GAuM@zs?eTQf<1FYq8OUA{e+(k}&oy1Xo(!q8 z<%=gcv%z|kOVZ{}E0{I5sz^rrNnzg@BTo-GQR3wGNfFP>ZRW&<$roHCjv$cs)H|C= zQiM}9RMVM~NM}gxfk;7sE#UYjYe^c4vLGKGo{MWSanW!^*e(4`M*=jj=MoDDN8edj zeW#Kq18Hse%O{RFSUa$dXcLd3;7+?gn`SG71J0w6KE7GK#y|+y${pVRG#vhp4d%aO zaD>Xmk>sHrp_Dwud5iPZYsaqf#acJ`RlOmfH#QL3wam_v(Z6@~73!ag3uH>Z9m*hS z1vvXdIvq{*&)4R}U~kKF0go_f&|MOQ3qC-1LHA+D>%akAU*TLNWP}FiPIy zJjVHi^OUY?c&f=R>_7R8@eku7_t5u{)|qff?RB^~XN>j%{^5p-$MS*UVt@D;X_jz& zN|wmv7}gyS)gdtMG??(ByY2wuqAAPDnahy`#$$}L7=JOo(ik{3J}opPFb`l}zBKz@4-?Tn z^fj;9yGX}Fqld9HjZERq=u`EFnI_WEz1;uDv;6s$YghG-QFuC2&+1CDP9jV_FXao7 zj-&9d2j^uAlOG9CmjQHC4PLN3RVg1eaGt`?GuJmV@=3*kiLu1++uCI0YxV!}JLdhb z4}M=`MD^R>d`pJI=-mDX<(tW{_w|*3k0qsu>TtN7s2}3SRWGW zAL09ce7}b46}*3h=WCe1aD8ME+TL|1_XMTx!SznfT7kbhC4Vh+1D zx_fiHJ7--O0mrD>j?`MlQ1+Sx1dC>t$Y?(C?+%W^bg^YG>ZiC#J)dl7CqwZ_Z+4`Z zC;Vt_KVsPAM)BQ^(ok8JSPBD?dseUu>3&^Ks5i_nihy-BS)V-H0HFH6ujK?cx2smV zA3~rfV({Q}ZZzfl8@PlYdi^DXNP}3*xdTZ=)Qsw!CVKxrnwRMu{1O6^v$4UWN+A$G z^h&R3JP7JHk#6-7LGYFP^SXkL38C6nUf4COOEje!wj1Xd zo~7A$Fo_sKn*Maif063i^T{54r0c}(=0~7@jj=})PhG7IXut9){`)5w#{BLvb0d8u zU1`;rUw@pTt+ZFE?vg5$+|Jdwq9Y4k-tMbA-UkEsTSn6mdka`!PC53GR*R@A_Iq21 z^yzdCvvC;LpxJWt&;7*cV3R(NCrIhgT<%4EvsL0kIUmxwr>Ca6K!^M=#!_X; zMLp55L!oLd^@E#_&V@KWnR zc)}?sSjc6vQb6zV!?INj6UhJj(CooiI(N z!wkzEfm6%j;5XUQ6gnFMva*hg{+|P3+f}isU$;V_rLa&l2+eCMt=W9z&B##Le88Y! zn?I-&w#Z&YdxuiDufMuh8VvKle>M%oB!eCwndbK6B(QnZ;iG!g0B(qXE(>c!`l3sA zV<%O-!EYl} zImjA2Z_1Mt4BK+9S4KsVpqFLG4-w>Rf^q4U__OoF$OrxHZ}9=E@(2)(?yuQ}-WdsD zLpN^ohk?$SzzDB0(BAte(rw?fZL5(o+7I8y`zvsH z9rdjaB{Z0yj)ocY8x3bZ#X)6jt&Z7jFr+08v%L_B1F^E__q9$qg7KZ_pG>T+;J(f| zd$!A{&-X7*N+w@9rSh4oR%uQGd;UJM8STz>OtDl$Zl^u0Qj;ty8kAv?`=LqTg{X!_{6U<&RC z^?ogqIYgr5kzlc4z9${h@fzJQ#BYk;C)MF0SKcFCqs9lP6JL`kd5ZHE=V^7g0pAx- zS4d|GO1&251+Px6_WyZGLO$Wt9}dn2Q1Y#I&+l~+{y^xGKO$y(b0H{^kEKpE3Sn zTwL<(^zTIX5wc7|-+Ry=6vmC?m6l^y7JOivrTB-XMQh-votZ86(4*ka%e{FL98}uG zaCv^UUZ_2R@fhPQ#$SxDDpw}bw~i@McmVSP=DXm^cJg9443CmxHGXLt!l(Dsbe4*n>mz<`DWatW%{>ornvc4-}Qw2h3-f z-)K|#3)V&y|HFT0wKw!8l?8NB_H;asX`0v&)vh=0o94tz15bX2D3n zJp1g2U2DlA#pdEw-B!uS9!Jx_%GjvZ6fU@N0{%k>ryU zegm8L@b%a>N1PjP970Oohh`!@Q2?|w#iOVZMp@+I`po~ZBJ$_;tQH%T}>TkZwg zH@0juiRU~;xQ@tLOuuoV_|szFS?sHZ^|P@qHr9Q_x<zz#r7uX&`Wj6|*J*Fy|E*&cx6>1@?@S%p`ppXp?By3oAVs_mV7o_rRV9e5 zB7Tyr23&mhs&mhX0u&yuKbg2&9J0lEjxFp|Aj+IiD=aJ80Y^#LSYEy}aIPB3Ck>%F zdM&HBzCOAm)&7|yIp{#CR~UBld>`Y|feK??(tM5*Oh>3Sb4w|~O@;gMCeaq~kWrZ4 z`?eE=`<2t|5_1Lh&AQ7M8jv5SugjL@(~j`!5=YaQH?CkdbnASGtUGx8%nmB|KzD+i z55fCuX|Cpw7$8qo|&EA0=yWaK#lqyuaxD zc(XGE{ds47$;ckEQ13RF*A`y(?M;!^a0l(7ukQzEtf6f%Sfcp=>NnTVRxm32z_^F~ zrA;hot})~JZkVhNd<$*Y9MQkuCfmJv>|5R7X+a6q$~WZOrl`*_eaIeg+~E1GSOGD! zB?0-R@ZD(9o^*lx!WLm~(0&TLY=Py;Lk@80lG$O~40ABLsBHRky9cnObw{l)ApMy^ zWrL}Y8o8<_S4~Xgz5S6?Vaf; zUwSPrT;NuQtBu)i-0Vk)!x|oaja919p5ys)Ow1j454EI6akzuUDgO4E1q(1Wowe*g z>JFWe&o=BabA`!$m;cnZy8-Xkd#8d<1;J(7NGGo{Hy9h5Kh2uv09u0rCd^aL@LXc? zah?-^!qErsGY)tH4g0e_ap@)y@pFfar?nmBbG@|sG{uX^|IAz!j`f+qN~*Pg^SUy` z*zq5xJFY-@zFF}JSI~gd{#zxQJ>>{Zle~qdL^J4Y`n<*$YzqA{f(*SW$j|;?oQMlq zUS^HA1j}z+HCc*i4`gSKy}c>YpVpAOoHGKzoBXjQrA!S@QtPC7CLo`xz)Mwx)?v^W z2v==ya)S7+PE6`mrj)okA~f}4yBE5r%xk%O{DCL%>s9iU=D31H+wVOR2c2Nho9*Fw zPNx=9cY)2H4tVvU`N)vlfzZe9PH^$%m8=yFH`w&1{mCs=X9zK@cP2$5AC+Sd zBN+QbkUouElRe83sLM7^I#JT3X@I+`P0IHMHmeL4i_ zoUc>}HU(2~f&WFM{Sex>N?t5680Fp#8+VI4_sY1!#r~D6K|OY`d(RHpKdETW^ADHI zCp}iY1YKbXb=3s#AU#ACHfNKnAds&*{WVw_>AB^FRUJeA!hAHr`-Iuu;mM786Rsd9 z(5#GGJp3Nrp|-8eJ*`3WQz6a|MZs2Zb5uofF2D$890GmgGF`!b@5p;S8V8^c2v=S2 z^#CQ~hpH8vo^bK$>4}OAPiXwv$x$2V1HpTB#MY2ML3PUIt8@;2z}lGY(m0Ris=pGv z9w6V*&tdCtb1U^=nV&y0PD%m>KF+*04L6{~2{ornwe^*aM1nymOTh*kC>aXTxG-`6 zSO>y=7&d9Z)nDfBC4vfo3!`)TR4Gte5mV%94d;?wod~W!>!L0yvM3IV5D3WjVs}PsjKYn_VH(s?+(- z5mUIAzFkxn?X}}P#d(YK)N-DAg6XX(lp6KTX(ZUfJ#LFF_7|KXS3apJ^rQ_X->SOb zHdz=rARGxfIJzbPjD_dqlUh`>XX9Gs0xvBMFH;;vi|QW3$G22!0n*WeOWA z!nAJLRj2Q|#Nm#|_1Xz*Ett@<94yTQp69qm3+vwH0qQ(Leg>9)QQ`Efcy;ro7E$Kd^J%wKrEhWkgj?!ooW{{uyPYa{>w diff --git a/input/thermo/uncertainty/adsorptionPt111/groups.py b/input/thermo/uncertainty/adsorptionPt111/groups.py index 754813addf..2c111b5db7 100644 --- a/input/thermo/uncertainty/adsorptionPt111/groups.py +++ b/input/thermo/uncertainty/adsorptionPt111/groups.py @@ -10,7 +10,7 @@ """ entry( index = 0, - label = "R*", + label = "RX", group = """ 1 R ux @@ -26,13 +26,13 @@ entry( index = 1, - label = "(OR2)*", + label = "RXbidentate", group = """ -1 O u0 p2 c0 {2,S} {3,S} -2 R u0 c0 {1,S} -3 R u0 c0 {1,S} -4 * X u0 p0 c0 +1 * X u0 p0 c0 {3,[S,D,T]} +2 X u0 p0 c0 {4,[S,D,T]} +3 R!H u0 {1,[S,D,T]} {4,[S,D,T]} +4 R!H u0 {2,[S,D,T]} {3,[S,D,T]} """, thermo = None, shortDesc = """""", @@ -44,12 +44,13 @@ entry( index = 2, - label = "O-*R", + label = "CXCX", group = """ -1 O u0 p2 c0 {2,S} {3,S} -2 * X u0 p0 c0 {1,S} -3 R u0 c0 {1,S} +1 * X u0 p0 c0 {3,[S,D,T]} +2 X u0 p0 c0 {4,[S,D,T]} +3 C u0 {1,[S,D,T]} {4,[S,D,T]} +4 C u0 {2,[S,D,T]} {3,[S,D,T]} """, thermo = None, shortDesc = """""", @@ -61,14 +62,14 @@ entry( index = 3, - label = "(OROR)*", + label = "C#XC-XR", group = """ -1 O u0 p2 c0 {2,S} {3,S} -2 O u0 p2 c0 {1,S} {4,S} -3 R u0 c0 {1,S} -4 R u0 c0 {2,S} -5 * X u0 p0 c0 +1 * X u0 p0 c0 {3,T} +2 X u0 p0 c0 {4,S} +3 C u0 p0 c0 {1,T} {4,S} +4 C u0 p0 c0 {2,S} {3,S} {5,D} +5 R!H u0 c0 {4,D} """, thermo = None, shortDesc = """""", @@ -80,13 +81,15 @@ entry( index = 4, - label = "O*O*", + label = "C#XC-XR2", group = """ -1 O u0 p2 c0 {2,S} {3,S} -2 O u0 p2 c0 {1,S} {4,S} -3 * X u0 p0 c0 {1,S} -4 X u0 p0 c0 {2,S} +1 * X u0 p0 c0 {3,T} +2 X u0 p0 c0 {4,S} +3 C u0 p0 c0 {1,T} {4,S} +4 C u0 p0 c0 {2,S} {3,S} {5,S} {6,S} +5 R u0 c0 {4,S} +6 R u0 c0 {4,S} """, thermo = None, shortDesc = """""", @@ -98,13 +101,14 @@ entry( index = 5, - label = "O-*OR", + label = "C#XC=XR", group = """ -1 O u0 p2 c0 {2,S} {3,S} -2 O u0 p2 c0 {1,S} {4,S} -3 * X u0 p0 c0 {1,S} -4 R u0 c0 {2,S} +1 * X u0 p0 c0 {3,T} +2 X u0 p0 c0 {4,D} +3 C u0 p0 c0 {1,T} {4,S} +4 C u0 p0 c0 {2,D} {3,S} {5,S} +5 R u0 c0 {4,S} """, thermo = None, shortDesc = """""", @@ -116,11 +120,13 @@ entry( index = 6, - label = "O=*", + label = "C-XC-X", group = """ -1 * X u0 p0 c0 {2,D} -2 O u0 p2 c0 {1,D} +1 * X u0 p0 c0 {3,D} +2 X u0 p0 c0 {4,D} +3 C u0 p0 c0 {1,D} {4,D} +4 C u0 p0 c0 {2,D} {3,D} """, thermo = None, shortDesc = """""", @@ -132,14 +138,16 @@ entry( index = 7, - label = "O-*NR2", + label = "C-XR2C-XR", group = """ -1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 O u0 p2 c0 {1,S} {5,S} -3 R u0 p0 c0 {1,S} -4 R u0 p0 c0 {1,S} -5 * X u0 p0 c0 {2,S} +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {4,S} +3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S} +4 C u0 p0 c0 {2,S} {3,S} {7,D} +5 R u0 c0 {3,S} +6 R u0 c0 {3,S} +7 R!H u0 c0 {4,D} """, thermo = None, shortDesc = """""", @@ -151,15 +159,17 @@ entry( index = 8, - label = "O-*CR3", + label = "C-XR2C-XR2", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 O u0 p2 c0 {1,S} {6,S} -3 R u0 c0 {1,S} -4 R u0 c0 {1,S} -5 R u0 c0 {1,S} -6 * X u0 p0 c0 {2,S} +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {4,S} +3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S} +4 C u0 p0 c0 {2,S} {3,S} {7,S} {8,S} +5 R u0 c0 {3,S} +6 R u0 c0 {3,S} +7 R u0 c0 {4,S} +8 R u0 c0 {4,S} """, thermo = None, shortDesc = """""", @@ -171,14 +181,16 @@ entry( index = 9, - label = "(NR3)*", + label = "C-XR2C=XR", group = """ -1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 R u0 c0 {1,S} -3 R u0 c0 {1,S} -4 R u0 c0 {1,S} -5 * X u0 p0 c0 +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {4,D} +3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S} +4 C u0 p0 c0 {2,D} {3,S} {7,S} +5 R u0 c0 {3,S} +6 R u0 c0 {3,S} +7 R u0 c0 {4,S} """, thermo = None, shortDesc = """""", @@ -190,12 +202,15 @@ entry( index = 10, - label = "N-*R2", + label = "C-XRC-XR", group = """ -1 N u0 p1 c0 {2,S} {3,[S,D]} -2 * X u0 p0 c0 {1,S} -3 R u0 c0 {1,[S,D]} +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {4,S} +3 C u0 p0 c0 {1,S} {4,D} {5,S} +4 C u0 p0 c0 {2,S} {3,D} {6,S} +5 R u0 c0 {3,S} +6 R u0 c0 {4,S} """, thermo = None, shortDesc = """""", @@ -207,12 +222,14 @@ entry( index = 11, - label = "N=*R", + label = "C-XRC=X", group = """ -1 N u0 p1 c0 {2,D} {3,S} -2 * X u0 p0 c0 {1,D} -3 R u0 c0 {1,S} +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {4,D} +3 C u0 p0 c0 {1,S} {4,D} {5,S} +4 C u0 p0 c0 {2,D} {3,D} +5 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -224,11 +241,15 @@ entry( index = 12, - label = "N#*", + label = "C=XRC-XR", group = """ -1 * X u0 p0 {2,T} -2 N u0 p1 {1,T} +1 * X u0 p0 c0 {3,D} +2 X u0 p0 c0 {4,S} +3 C u0 p0 c0 {1,D} {4,S} {5,S} +4 C u0 p0 c0 {2,S} {3,S} {6,D} +5 R u0 c0 {3,S} +6 R!H u0 c0 {4,D} """, thermo = None, shortDesc = """""", @@ -240,15 +261,15 @@ entry( index = 13, - label = "(NR2OR)*", + label = "C=XRC=XR", group = """ -1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 O u0 p2 c0 {1,S} {5,S} -3 R u0 p0 c0 {1,S} -4 R u0 p0 c0 {1,S} -5 R u0 p0 c0 {2,S} -6 * X u0 p0 c0 +1 * X u0 p0 c0 {3,D} +2 X u0 p0 c0 {4,D} +3 C u0 p0 c0 {1,D} {4,S} {5,S} +4 C u0 p0 c0 {2,D} {3,S} {6,S} +5 R u0 c0 {3,S} +6 R u0 c0 {4,S} """, thermo = None, shortDesc = """""", @@ -260,13 +281,13 @@ entry( index = 14, - label = "(NRO)*", + label = "CXNX", group = """ -1 N u0 p1 c0 {2,D} {3,S} -2 O u0 p2 c0 {1,D} -3 R u0 p0 c0 {1,S} -4 * X u0 p0 c0 +1 X u0 p0 c0 {3,[S,D,T]} +2 * X u0 p0 c0 {4,[S,D]} +3 C u0 p0 c0 {1,[S,D,T]} {4,[S,D]} +4 N u0 p1 c0 {2,[S,D]} {3,[S,D]} """, thermo = None, shortDesc = """""", @@ -278,14 +299,16 @@ entry( index = 15, - label = "N-*ROR", + label = "C-XR2N-XR", group = """ -1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 O u0 p2 c0 {1,S} {5,S} -3 * X u0 p0 c0 {1,S} -4 R u0 p0 c0 {1,S} -5 R u0 p0 c0 {2,S} +1 X u0 p0 c0 {3,S} +2 * X u0 p0 c0 {4,S} +3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S} +4 N u0 p1 c0 {2,S} {3,S} {7,S} +5 R u0 p0 c0 {3,S} +6 R u0 p0 c0 {3,S} +7 R u0 p0 c0 {4,S} """, thermo = None, shortDesc = """""", @@ -297,12 +320,15 @@ entry( index = 16, - label = "N-*O", + label = "C-XR2N=X", group = """ -1 N u0 p1 c0 {2,S} {3,D} -2 * X u0 p0 c0 {1,S} -3 O u0 p2 c0 {1,D} +1 X u0 p0 c0 {3,S} +2 * X u0 p0 c0 {4,D} +3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S} +4 N u0 p1 c0 {2,D} {3,S} +5 R u0 p0 c0 {3,S} +6 R u0 p0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -314,13 +340,14 @@ entry( index = 17, - label = "N=*O-*", + label = "C-XRN-X", group = """ -1 N u0 p1 c0 {2,S} {3,D} -2 O u0 p2 c0 {1,S} {4,S} -3 * X u0 p0 c0 {1,D} -4 X u0 p0 c0 {2,S} +1 X u0 p0 c0 {3,S} +2 * X u0 p0 c0 {5,S} +3 C u0 p0 c0 {1,S} {4,S} {5,D} +4 R u0 c0 {3,S} +5 N u0 p1 c0 {2,S} {3,D} """, thermo = None, shortDesc = """""", @@ -332,13 +359,15 @@ entry( index = 18, - label = "N=*OR", + label = "C-XRN-XR", group = """ -1 N u0 p1 c0 {2,S} {3,D} -2 O u0 p2 c0 {1,S} {4,S} -3 * X u0 p0 c0 {1,D} -4 R u0 p0 c0 {2,S} +1 X u0 p0 c0 {3,S} +2 * X u0 p0 c0 {4,S} +3 C u0 p0 c0 {1,S} {4,S} {5,D} +4 N u0 p1 c0 {2,S} {3,S} {6,S} +5 R!H u0 c0 {3,D} +6 R u0 c0 {4,S} """, thermo = None, shortDesc = """""", @@ -350,16 +379,14 @@ entry( index = 19, - label = "(NR2NR2)*", + label = "C-XRN=X", group = """ -1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 N u0 p1 c0 {1,S} {5,S} {6,S} -3 R u0 p0 c0 {1,S} -4 R u0 p0 c0 {1,S} -5 R u0 p0 c0 {2,S} -6 R u0 p0 c0 {2,S} -7 * X u0 p0 c0 +1 X u0 p0 c0 {3,S} +2 * X u0 p0 c0 {4,D} +3 C u0 p0 c0 {1,S} {4,S} {5,D} +4 N u0 p1 c0 {2,D} {3,S} +5 R!H u0 c0 {3,D} """, thermo = None, shortDesc = """""", @@ -371,14 +398,15 @@ entry( index = 20, - label = "(NRNR)*", + label = "C=XRN-XR", group = """ -1 N u0 p1 c0 {2,D} {3,S} -2 N u0 p1 c0 {1,D} {4,S} -3 R u0 p0 c0 {1,S} -4 R u0 p0 c0 {2,S} -5 * X u0 p0 c0 +1 X u0 p0 c0 {3,D} +2 * X u0 p0 c0 {4,S} +3 C u0 p0 c0 {1,D} {4,S} {5,S} +4 N u0 p1 c0 {2,S} {3,S} {6,S} +5 R u0 p0 c0 {3,S} +6 R u0 p0 c0 {4,S} """, thermo = None, shortDesc = """""", @@ -390,15 +418,14 @@ entry( index = 21, - label = "N-*RNR2", + label = "C=XRN=X", group = """ -1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 N u0 p1 c0 {1,S} {5,S} {6,S} -3 * X u0 p0 c0 {1,S} -4 R u0 p0 c0 {1,S} -5 R u0 p0 c0 {2,S} -6 R u0 p0 c0 {2,S} +1 X u0 p0 c0 {3,D} +2 * X u0 p0 c0 {4,D} +3 C u0 p0 c0 {1,D} {4,S} {5,S} +4 N u0 p1 c0 {2,D} {3,S} +5 R u0 p0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -410,13 +437,13 @@ entry( index = 22, - label = "N-*NR", + label = "CXOX", group = """ -1 N u0 p1 c0 {2,D} {3,S} -2 N u0 p1 c0 {1,D} {4,S} -3 * X u0 p0 c0 {1,S} -4 R u0 p0 c0 {2,S} +1 * X u0 p0 c0 {3,[S,D,T]} +2 X u0 p0 c0 {4,S} +3 C u0 {1,[S,D,T]} {4,S} +4 O u0 p2 {2,S} {3,S} """, thermo = None, shortDesc = """""", @@ -428,14 +455,15 @@ entry( index = 23, - label = "N=*NR2", + label = "C-XR2O-X", group = """ -1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 N u0 p1 c0 {1,S} {5,D} -3 R u0 p0 c0 {1,S} -4 R u0 p0 c0 {1,S} -5 * X u0 p0 c0 {2,D} +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {4,S} +3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S} +4 O u0 p2 c0 {2,S} {3,S} +5 R u0 c0 {3,S} +6 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -447,15 +475,14 @@ entry( index = 24, - label = "N-*RN-*R", + label = "C-XRO-X", group = """ -1 N u0 p1 c0 {2,S} {3,S} {5,S} -2 N u0 p1 c0 {1,S} {4,S} {6,S} -3 * X u0 p0 c0 {1,S} -4 X u0 p0 c0 {2,S} -5 R u0 p0 c0 {1,S} -6 R u0 p0 c0 {2,S} +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {4,S} +3 C u0 p0 c0 {1,S} {4,S} {5,D} +4 O u0 p2 c0 {2,S} {3,S} +5 R!H u0 c0 {3,D} """, thermo = None, shortDesc = """""", @@ -467,16 +494,14 @@ entry( index = 25, - label = "N-*RCR3", + label = "C=XRO-X", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 N u0 p1 c0 {1,S} {6,S} {7,S} -3 R u0 p0 c0 {1,S} -4 R u0 p0 c0 {1,S} -5 R u0 p0 c0 {1,S} -6 * X u0 p0 c0 {2,S} -7 R u0 p0 c0 {2,S} +1 * X u0 p0 c0 {3,D} +2 X u0 p0 c0 {4,S} +3 C u0 p0 c0 {1,D} {4,S} {5,S} +4 O u0 p2 c0 {2,S} {3,S} +5 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -488,14 +513,13 @@ entry( index = 26, - label = "N-*CR2", + label = "NXCX", group = """ -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 N u0 p1 c0 {1,D} {5,S} -3 R u0 p0 c0 {1,S} -4 R u0 p0 c0 {1,S} -5 * X u0 p0 c0 {2,S} +1 * X u0 p0 c0 {3,[S,D,T]} +2 X u0 p0 c0 {4,[S,D]} +3 C u0 p0 c0 {1,[S,D,T]} {4,[S,D]} +4 N u0 p1 c0 {2,[S,D]} {3,[S,D]} """, thermo = None, shortDesc = """""", @@ -507,15 +531,16 @@ entry( index = 27, - label = "N=*CR3", + label = "inv(C-XR2N-XR)", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 N u0 p1 c0 {1,S} {6,D} -3 R u0 p0 c0 {1,S} -4 R u0 p0 c0 {1,S} -5 R u0 p0 c0 {1,S} -6 * X u0 p0 c0 {2,D} +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {4,S} +3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S} +4 N u0 p1 c0 {2,S} {3,S} {7,S} +5 R u0 p0 c0 {3,S} +6 R u0 p0 c0 {3,S} +7 R u0 p0 c0 {4,S} """, thermo = None, shortDesc = """""", @@ -527,11 +552,15 @@ entry( index = 28, - label = "Cq*", + label = "inv(C-XR2N=X)", group = """ -1 * X u0 p0 c0 {2,Q} -2 C u0 p0 c0 {1,Q} +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {4,D} +3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S} +4 N u0 p1 c0 {2,D} {3,S} +5 R u0 p0 c0 {3,S} +6 R u0 p0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -543,13 +572,14 @@ entry( index = 29, - label = "C-*C-*", + label = "inv(C-XRN-X)", group = """ -1 C u0 p0 c0 {2,D} {3,D} -2 C u0 p0 c0 {1,D} {4,D} -3 * X u0 p0 c0 {1,D} -4 X u0 p0 c0 {2,D} +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {5,S} +3 C u0 p0 c0 {1,S} {4,S} {5,D} +4 R u0 c0 {3,S} +5 N u0 p1 c0 {2,S} {3,D} """, thermo = None, shortDesc = """""", @@ -561,12 +591,15 @@ entry( index = 30, - label = "C=*(=R)", + label = "inv(C-XRN-XR)", group = """ -1 C u0 p0 c0 {2,D} {3,D} -2 * X u0 p0 c0 {1,D} -3 R!H u0 c0 {1,D} +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {4,S} +3 C u0 p0 c0 {1,S} {4,S} {5,D} +4 N u0 p1 c0 {2,S} {3,S} {6,S} +5 R!H u0 c0 {3,D} +6 R u0 c0 {4,S} """, thermo = None, shortDesc = """""", @@ -578,15 +611,14 @@ entry( index = 31, - label = "C#*CR3", + label = "inv(C-XRN=X)", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,T} -3 R u0 c0 {1,S} -4 R u0 c0 {1,S} -5 R u0 c0 {1,S} -6 * X u0 p0 c0 {2,T} +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {4,D} +3 C u0 p0 c0 {1,S} {4,S} {5,D} +4 N u0 p1 c0 {2,D} {3,S} +5 R!H u0 c0 {3,D} """, thermo = None, shortDesc = """""", @@ -598,12 +630,15 @@ entry( index = 32, - label = "C#*R", + label = "inv(C=XRN-XR)", group = """ -1 C u0 p0 c0 {2,T} {3,S} -2 * X u0 p0 c0 {1,T} -3 R u0 c0 {1,S} +1 * X u0 p0 c0 {3,D} +2 X u0 p0 c0 {4,S} +3 C u0 p0 c0 {1,D} {4,S} {5,S} +4 N u0 p1 c0 {2,S} {3,S} {6,S} +5 R u0 p0 c0 {3,S} +6 R u0 p0 c0 {4,S} """, thermo = None, shortDesc = """""", @@ -615,15 +650,14 @@ entry( index = 33, - label = "C=*RC=*R", + label = "inv(C=XRN=X)", group = """ -1 C u0 p0 c0 {2,S} {3,D} {5,S} -2 C u0 p0 c0 {1,S} {4,D} {6,S} -3 * X u0 p0 c0 {1,D} -4 X u0 p0 c0 {2,D} -5 R u0 c0 {1,S} -6 R u0 c0 {2,S} +1 * X u0 p0 c0 {3,D} +2 X u0 p0 c0 {4,D} +3 C u0 p0 c0 {1,D} {4,S} {5,S} +4 N u0 p1 c0 {2,D} {3,S} +5 R u0 p0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -635,13 +669,13 @@ entry( index = 34, - label = "C=*R2", + label = "NXNX", group = """ -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 * X u0 p0 c0 {1,D} -3 R u0 c0 {1,S} -4 R u0 c0 {1,S} +1 * X u0 p0 c0 {3,[S,D]} +2 X u0 p0 c0 {4,[S,D]} +3 N u0 {1,[S,D]} {4,[S,D]} +4 N u0 {2,[S,D]} {3,[S,D]} """, thermo = None, shortDesc = """""", @@ -653,17 +687,15 @@ entry( index = 35, - label = "C-*R2C-*R2", + label = "N-XRN-XR", group = """ -1 C u0 p0 c0 {2,S} {3,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {4,S} {7,S} {8,S} -3 * X u0 p0 c0 {1,S} -4 X u0 p0 c0 {2,S} -5 R u0 c0 {1,S} -6 R u0 c0 {1,S} -7 R u0 c0 {2,S} -8 R u0 c0 {2,S} +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {4,S} +3 N u0 p1 c0 {1,S} {4,S} {5,S} +4 N u0 p1 c0 {2,S} {3,S} {6,S} +5 R u0 p0 c0 {3,S} +6 R u0 p0 c0 {4,S} """, thermo = None, shortDesc = """""", @@ -675,14 +707,14 @@ entry( index = 36, - label = "C-*R3", + label = "N-XRN=X", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 * X u0 p0 c0 {1,S} -3 R u0 c0 {1,S} -4 R u0 c0 {1,S} -5 R u0 c0 {1,S} +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {4,D} +3 N u0 p1 c0 {1,S} {4,S} {5,S} +4 N u0 p1 c0 {2,D} {3,S} +5 R u0 p0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -694,18 +726,13 @@ entry( index = 37, - label = "(CR3CR3)*", + label = "NXOX", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 R u0 c0 {1,S} -4 R u0 c0 {1,S} -5 R u0 c0 {1,S} -6 R u0 c0 {2,S} -7 R u0 c0 {2,S} -8 R u0 c0 {2,S} -9 * X u0 p0 c0 +1 * X u0 p0 c0 {3,[S,D]} +2 X u0 p0 c0 {4,S} +3 N u0 {1,[S,D]} {4,[S,D]} +4 O u0 p2 c0 {2,S} {3,[S,D]} """, thermo = None, shortDesc = """""", @@ -717,15 +744,14 @@ entry( index = 38, - label = "(CR4)*", + label = "N-XRO-X", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 R u0 c0 {1,S} -3 R u0 c0 {1,S} -4 R u0 c0 {1,S} -5 R u0 c0 {1,S} -6 * X u0 p0 c0 +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {4,S} +3 N u0 p1 c0 {1,S} {4,S} {5,S} +4 O u0 p2 c0 {2,S} {3,S} +5 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -737,13 +763,14 @@ entry( index = 39, - label = "C=*N-*", + label = "N[+]=XR[-]O-X", group = """ -1 C u0 p0 c0 {2,D} {3,D} -2 N u0 p1 c0 {1,D} {4,S} -3 * X u0 p0 c0 {1,D} -4 X u0 p0 c0 {2,S} +1 * X u0 p0 c0 {3,D} +2 X u0 p0 c0 {4,S} +3 N u0 p0 c+1 {1,D} {4,S} {5,S} +4 O u0 p2 c0 {2,S} {3,S} +5 R!H u0 p[1,2,3] c-1 {3,S} """, thermo = None, shortDesc = """""", @@ -755,13 +782,14 @@ entry( index = 40, - label = "C=*(=NR)", + label = "RXbridgedBidentate", group = """ -1 C u0 p0 c0 {2,D} {3,D} -2 N u0 p1 c0 {1,D} {4,S} -3 * X u0 p0 c0 {1,D} -4 R u0 p0 c0 {2,S} +1 * X u0 {3,[S,D,T]} +2 X u0 {4,[S,D,T]} +3 R!H ux {1,[S,D,T]} {5,[S,D,T]} +4 R!H ux {2,[S,D,T]} {5,[S,D,T]} +5 R!H ux {3,[S,D,T]} {4,[S,D,T]} """, thermo = None, shortDesc = """""", @@ -773,14 +801,14 @@ entry( index = 41, - label = "C#*NR2", + label = "CXRCX", group = """ -1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 C u0 p0 c0 {1,S} {5,T} -3 R u0 p0 c0 {1,S} -4 R u0 p0 c0 {1,S} -5 * X u0 p0 c0 {2,T} +1 * X u0 {3,[S,D,T]} +2 X u0 {4,[S,D,T]} +3 C u0 {1,[S,D,T]} {5,[S,D,T]} +4 C u0 {2,[S,D,T]} {5,[S,D,T]} +5 R!H u0 {3,[S,D,T]} {4,[S,D,T]} """, thermo = None, shortDesc = """""", @@ -792,13 +820,14 @@ entry( index = 42, - label = "C#*OR", + label = "C#X-R-C#X", group = """ -1 C u0 p0 c0 {2,S} {3,T} -2 O u0 p2 c0 {1,S} {4,S} -3 * X u0 p0 c0 {1,T} -4 R u0 c0 {2,S} +1 * X u0 p0 c0 {3,T} +2 X u0 p0 c0 {5,T} +3 C u0 p0 c0 {1,T} {4,S} +4 R!H u0 c0 {3,S} {5,S} +5 C u0 p0 c0 {2,T} {4,S} """, thermo = None, shortDesc = """""", @@ -810,16 +839,16 @@ entry( index = 43, - label = "C-*R2C=*R", + label = "C#X-R-C-XR2", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,D} {7,S} -3 * X u0 p0 c0 {1,S} -4 R u0 c0 {1,S} -5 R u0 c0 {1,S} -6 X u0 p0 c0 {2,D} -7 R u0 c0 {2,S} +1 * X u0 p0 c0 {3,T} +2 X u0 p0 c0 {5,S} +3 C u0 p0 c0 {1,T} {4,S} +4 R!H u0 c0 {3,S} {5,S} +5 C u0 p0 c0 {2,S} {4,S} {6,S} {7,S} +6 R u0 c0 {5,S} +7 R u0 c0 {5,S} """, thermo = None, shortDesc = """""", @@ -831,17 +860,15 @@ entry( index = 44, - label = "C-*R2CR3", + label = "C#X-R-C=XR", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 * X u0 p0 c0 {1,S} -4 R u0 c0 {1,S} -5 R u0 c0 {1,S} -6 R u0 c0 {2,S} -7 R u0 c0 {2,S} -8 R u0 c0 {2,S} +1 * X u0 p0 c0 {3,T} +2 X u0 p0 c0 {5,D} +3 C u0 p0 c0 {1,T} {4,S} +4 R!H u0 c0 {3,S} {5,S} +5 C u0 p0 c0 {2,D} {4,S} {6,S} +6 R u0 p0 c0 {5,S} """, thermo = None, shortDesc = """""", @@ -853,15 +880,15 @@ entry( index = 45, - label = "(CR2NR)*", + label = "C#X-R=C-XR", group = """ -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 N u0 p1 c0 {1,D} {5,S} -3 R u0 p0 c0 {1,S} -4 R u0 p0 c0 {1,S} -5 R u0 p0 c0 {2,S} -6 * X u0 p0 c0 +1 * X u0 p0 c0 {3,T} +2 X u0 p0 c0 {5,S} +3 C u0 p0 c0 {1,T} {4,S} +4 R!H u0 c0 {3,S} {5,D} +5 C u0 p0 c0 {2,S} {4,D} {6,S} +6 R u0 c0 {5,S} """, thermo = None, shortDesc = """""", @@ -873,16 +900,16 @@ entry( index = 46, - label = "C-*R2NR2", + label = "C=X=R-C-XR2", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 N u0 p1 c0 {1,S} {6,S} {7,S} -3 * X u0 p0 c0 {1,S} -4 R u0 p0 c0 {1,S} -5 R u0 p0 c0 {1,S} -6 R u0 p0 c0 {2,S} -7 R u0 p0 c0 {2,S} +1 * X u0 p0 c0 {3,D} +2 X u0 p0 c0 {5,S} +3 C u0 p0 c0 {1,D} {4,D} +4 R!H u0 c0 {3,D} {5,S} +5 C u0 p0 c0 {2,S} {4,S} {6,S} {7,S} +6 R u0 c0 {5,S} +7 R u0 c0 {5,S} """, thermo = None, shortDesc = """""", @@ -894,14 +921,18 @@ entry( index = 47, - label = "(CR2O)*", + label = "R2C-X-R-C-XR2", group = """ -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 O u0 p2 c0 {1,D} -3 R u0 c0 {1,S} -4 R u0 c0 {1,S} -5 * X u0 p0 c0 +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {5,S} +3 C u0 p0 c0 {1,S} {4,S} {8,S} {9,S} +4 R!H u0 c0 {3,S} {5,S} +5 C u0 p0 c0 {2,S} {4,S} {6,S} {7,S} +6 R u0 c0 {5,S} +7 R u0 c0 {5,S} +8 R u0 c0 {3,S} +9 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -913,15 +944,14 @@ entry( index = 48, - label = "C-*R2OR", + label = "(OROR)X", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 O u0 p2 c0 {1,S} {6,S} -3 * X u0 p0 c0 {1,S} -4 R u0 c0 {1,S} -5 R u0 c0 {1,S} -6 R u0 c0 {2,S} +1 * X u0 p0 c0 +2 O u0 p2 c0 {3,S} {4,S} +3 O u0 p2 c0 {2,S} {5,S} +4 R u0 p0 c0 {2,S} +5 R u0 p0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -933,17 +963,17 @@ entry( index = 49, - label = "(CR3NR2)*", + label = "RC-X=R-C-XR2", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 N u0 p1 c0 {1,S} {6,S} {7,S} -3 R u0 p0 c0 {1,S} -4 R u0 p0 c0 {1,S} -5 R u0 p0 c0 {1,S} -6 R u0 p0 c0 {2,S} -7 R u0 p0 c0 {2,S} -8 * X u0 p0 c0 +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {5,S} +3 C u0 p0 c0 {1,S} {4,D} {6,S} +4 R!H u0 c0 {3,D} {5,S} +5 C u0 p0 c0 {2,S} {4,S} {7,S} {8,S} +6 R u0 c0 {3,S} +7 R u0 c0 {5,S} +8 R u0 c0 {5,S} """, thermo = None, shortDesc = """""", @@ -955,16 +985,16 @@ entry( index = 50, - label = "(CR3OR)*", + label = "RC-X=R=C-XR", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 O u0 p2 c0 {1,S} {6,S} -3 R u0 c0 {1,S} -4 R u0 c0 {1,S} -5 R u0 c0 {1,S} -6 R u0 c0 {2,S} -7 * X u0 p0 c0 +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {5,S} +3 C u0 p0 c0 {1,S} {4,D} {6,S} +4 R!H u0 p0 c0 {3,D} {5,D} +5 C u0 p0 c0 {2,S} {4,D} {7,S} +6 R u0 c0 {3,S} +7 R u0 c0 {5,S} """, thermo = None, shortDesc = """""", @@ -976,14 +1006,15 @@ entry( index = 51, - label = "C-*RC=*", + label = "RC-X=R=C=X", group = """ -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 C u0 p0 c0 {1,D} {5,D} -3 * X u0 p0 c0 {1,S} -4 R u0 c0 {1,S} -5 X u0 p0 c0 {2,D} +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {5,D} +3 C u0 p0 c0 {1,S} {4,D} {6,S} +4 R!H u0 p0 c0 {3,D} {5,D} +5 C u0 p0 c0 {2,D} {4,D} +6 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -995,15 +1026,17 @@ entry( index = 52, - label = "C-*RCR2", + label = "RC=X-R-C-XR2", group = """ -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 C u0 p0 c0 {1,D} {5,S} {6,S} -3 * X u0 p0 c0 {1,S} -4 R u0 c0 {1,S} -5 R u0 c0 {2,S} -6 R u0 c0 {2,S} +1 * X u0 p0 c0 {3,D} +2 X u0 p0 c0 {5,S} +3 C u0 p0 c0 {1,D} {4,S} {6,S} +4 R!H u0 c0 {3,S} {5,S} +5 C u0 p0 c0 {2,S} {4,S} {7,S} {8,S} +6 R u0 c0 {3,S} +7 R u0 c0 {5,S} +8 R u0 c0 {5,S} """, thermo = None, shortDesc = """""", @@ -1015,16 +1048,16 @@ entry( index = 53, - label = "C=*RCR3", + label = "RC=X-R-C=XR", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,D} {7,S} -3 R u0 c0 {1,S} -4 R u0 c0 {1,S} -5 R u0 c0 {1,S} -6 * X u0 p0 c0 {2,D} -7 R u0 c0 {2,S} +1 * X u0 p0 c0 {3,D} +2 X u0 p0 c0 {5,D} +3 C u0 p0 c0 {1,D} {4,S} {6,S} +4 R!H u0 c0 {3,S} {5,S} +5 C u0 p0 c0 {2,D} {4,S} {7,S} +6 R u0 c0 {3,S} +7 R u0 c0 {5,S} """, thermo = None, shortDesc = """""", @@ -1036,13 +1069,16 @@ entry( index = 54, - label = "(CRN)*", + label = "RC=X-R=C-XR", group = """ -1 C u0 p0 c0 {2,T} {3,S} -2 N u0 p1 c0 {1,T} -3 R u0 p0 c0 {1,S} -4 * X u0 p0 c0 +1 * X u0 p0 c0 {3,D} +2 X u0 p0 c0 {5,S} +3 C u0 p0 c0 {1,D} {4,S} {6,S} +4 R!H u0 c0 {3,S} {5,D} +5 C u0 p0 c0 {2,S} {4,D} {7,S} +6 R u0 c0 {3,S} +7 R u0 c0 {5,S} """, thermo = None, shortDesc = """""", @@ -1054,14 +1090,14 @@ entry( index = 55, - label = "C=*RN=*", + label = "CXROX", group = """ -1 C u0 p0 c0 {2,S} {3,D} {4,S} -2 N u0 p1 c0 {1,S} {5,D} -3 * X u0 p0 c0 {1,D} -4 R u0 p0 c0 {1,S} -5 X u0 p0 c0 {2,D} +1 * X u0 {3,[S,D,T]} +2 X u0 {4,S} +3 C u0 {1,[S,D,T]} {5,[S,D,T]} +4 O u0 p2 {2,S} {5,S} +5 R!H u0 {3,[S,D,T]} {4,S} """, thermo = None, shortDesc = """""", @@ -1073,14 +1109,15 @@ entry( index = 56, - label = "C-*RNR", + label = "RC-X=R-O-X", group = """ -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 N u0 p1 c0 {1,D} {5,S} -3 * X u0 p0 c0 {1,S} -4 R u0 p0 c0 {1,S} -5 R u0 p0 c0 {2,S} +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {5,S} +3 C u0 p0 c0 {1,S} {4,D} {6,S} +4 R!H u0 c0 {3,D} {5,S} +5 O u0 p2 c0 {2,S} {4,S} +6 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -1092,15 +1129,14 @@ entry( index = 57, - label = "C=*RN-*R", + label = "OXROX", group = """ -1 C u0 p0 c0 {2,S} {3,D} {5,S} -2 N u0 p1 c0 {1,S} {4,S} {6,S} -3 * X u0 p0 c0 {1,D} -4 X u0 p0 c0 {2,S} -5 R u0 p0 c0 {1,S} -6 R u0 p0 c0 {2,S} +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {4,S} +3 O u0 p2 c0 {1,S} {5,S} +4 O u0 p2 c0 {2,S} {5,S} +5 R!H u0 c0 {3,S} {4,S} """, thermo = None, shortDesc = """""", @@ -1112,15 +1148,14 @@ entry( index = 58, - label = "C=*RNR2", + label = "O-X-C-O-X", group = """ -1 C u0 p0 c0 {2,S} {3,D} {4,S} -2 N u0 p1 c0 {1,S} {5,S} {6,S} -3 * X u0 p0 c0 {1,D} -4 R u0 p0 c0 {1,S} -5 R u0 p0 c0 {2,S} -6 R u0 p0 c0 {2,S} +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {5,S} +3 O u0 p2 c0 {1,S} {4,S} +4 C u0 p0 c0 {3,S} {5,S} +5 O u0 p2 c0 {2,S} {4,S} """, thermo = None, shortDesc = """""", @@ -1132,13 +1167,11 @@ entry( index = 59, - label = "C-*RO", + label = "RXsingleChemisorbed", group = """ -1 C u0 p0 c0 {2,S} {3,D} {4,S} -2 * X u0 p0 c0 {1,S} -3 O u0 p2 c0 {1,D} -4 R u0 c0 {1,S} +1 * X u0 {2,[S,D,T,Q]} +2 R ux {1,[S,D,T,Q]} """, thermo = None, shortDesc = """""", @@ -1150,14 +1183,11 @@ entry( index = 60, - label = "C=*RO-*", + label = "CX", group = """ -1 C u0 p0 c0 {2,S} {3,D} {4,S} -2 O u0 p2 c0 {1,S} {5,S} -3 * X u0 p0 c0 {1,D} -4 R u0 c0 {1,S} -5 X u0 p0 c0 {2,S} +1 * X u0 {2,[S,D,T,Q]} +2 C ux {1,[S,D,T,Q]} """, thermo = None, shortDesc = """""", @@ -1169,14 +1199,12 @@ entry( index = 61, - label = "C=*ROR", + label = "C#XR", group = """ -1 C u0 p0 c0 {2,S} {3,D} {4,S} -2 O u0 p2 c0 {1,S} {5,S} -3 * X u0 p0 c0 {1,D} -4 R u0 c0 {1,S} -5 R u0 c0 {2,S} +1 * X u0 p0 c0 {2,T} +2 C u0 p0 c0 {1,T} {3,S} +3 R u0 c0 {2,S} """, thermo = None, shortDesc = """""", @@ -1188,11 +1216,14 @@ entry( index = 62, - label = "C*", + label = "C#XCR2", group = """ -1 * X u0 {2,[S,D,T,Q]} -2 C ux {1,[S,D,T,Q]} +1 * X u0 p0 c0 {3,T} +2 C u0 p0 c0 {3,S} {4,S} {5,D} +3 C u0 p0 c0 {1,T} {2,S} +4 R u0 c0 {2,S} +5 R!H u0 c0 {2,D} """, thermo = None, shortDesc = """""", @@ -1204,11 +1235,15 @@ entry( index = 63, - label = "N*", + label = "C#XCR3", group = """ -1 * X u0 {2,[S,D,T]} -2 N ux {1,[S,D,T]} +1 * X u0 p0 c0 {3,T} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 C u0 p0 c0 {1,T} {2,S} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} +6 R u0 c0 {2,S} """, thermo = None, shortDesc = """""", @@ -1220,11 +1255,12 @@ entry( index = 64, - label = "O*", + label = "C#XN", group = """ -1 * X u0 {2,[S,D]} -2 O ux {1,[S,D]} +1 * X u0 p0 c0 {2,T} +2 C u0 p0 c0 {1,T} {3,S} +3 N u0 p1 c0 {2,S} """, thermo = None, shortDesc = """""", @@ -1236,11 +1272,13 @@ entry( index = 65, - label = "R*single-chemisorbed", + label = "C#XOR", group = """ -1 * X u0 {2,[S,D,T,Q]} -2 R ux {1,[S,D,T,Q]} +1 * X u0 p0 c0 {2,T} +2 C u0 p0 c0 {1,T} {3,S} +3 O u0 p2 c0 {2,S} {4,S} +4 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -1252,13 +1290,13 @@ entry( index = 66, - label = "C*C*", + label = "C-XR2", group = """ -1 C u0 {2,[S,D,T]} {3,[S,D,T]} -2 C u0 {1,[S,D,T]} {4,[S,D,T]} -3 * X u0 {1,[S,D,T]} -4 X u0 {2,[S,D,T]} +1 * X u0 p0 c0 {2,S} +2 C u0 p0 c0 {1,S} {3,D} {4,S} +3 R!H u0 c0 {2,D} +4 R u0 c0 {2,S} """, thermo = None, shortDesc = """""", @@ -1270,13 +1308,15 @@ entry( index = 67, - label = "C*N*", + label = "C-XRCR2", group = """ -1 C u0 {2,[S,D,T]} {3,[S,D]} -2 N u0 {1,[S,D,T]} {4,[S,D,T]} -3 * X u0 {1,[S,D]} -4 X u0 {2,[S,D,T]} +1 * X u0 p0 c0 {2,S} +2 C u0 p0 c0 {1,S} {3,D} {4,S} +3 C u0 p0 c0 {2,D} {5,S} {6,S} +4 R u0 c0 {2,S} +5 R u0 c0 {3,S} +6 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -1288,13 +1328,13 @@ entry( index = 68, - label = "C*O*", + label = "C-XRN", group = """ -1 C u0 {2,S} {3,[S,D,T]} -2 O u0 p2 {1,S} {4,S} -3 * X u0 {1,[S,D,T]} -4 X u0 {2,S} +1 * X u0 p0 c0 {2,S} +2 C u0 p0 c0 {1,S} {3,S} {4,D} +3 N u0 p1 c0 {2,S} +4 R!H u0 p[1,2,3] c0 {2,D} """, thermo = None, shortDesc = """""", @@ -1306,13 +1346,14 @@ entry( index = 69, - label = "N*N*", + label = "C-XRNR", group = """ -1 N u0 {2,[S,D]} {3,[S,D]} -2 N u0 {1,[S,D]} {4,[S,D]} -3 * X u0 {1,[S,D]} -4 X u0 {2,[S,D]} +1 * X u0 p0 c0 {2,S} +2 C u0 p0 c0 {1,S} {3,D} {4,S} +3 N u0 p1 c0 {2,D} {5,S} +4 R u0 c0 {2,S} +5 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -1324,13 +1365,13 @@ entry( index = 70, - label = "R*bidentate", + label = "C-XRO", group = """ -1 R!H ux {2,[S,D,T]} {3,[S,D,T]} -2 R!H ux {1,[S,D,T]} {4,[S,D,T]} -3 * X u0 {1,[S,D,T]} -4 X u0 {2,[S,D,T]} +1 * X u0 p0 c0 {2,S} +2 C u0 p0 c0 {1,S} {3,D} {4,S} +3 O u0 p2 c0 {2,D} +4 R u0 c0 {2,S} """, thermo = None, shortDesc = """""", @@ -1342,11 +1383,14 @@ entry( index = 71, - label = "R*vdW", + label = "C-XR3", group = """ -1 * X u0 -2 R u0 +1 * X u0 p0 c0 {2,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 R u0 c0 {2,S} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} """, thermo = None, shortDesc = """""", @@ -1358,13 +1402,17 @@ entry( index = 72, - label = "N*O*", + label = "C-XR2CR3", group = """ -1 N u0 p1 c0 {2,[S,D]} {3,[S,D]} -2 O u0 p2 c0 {1,[S,D]} {4,[S,D]} -3 * X u0 p0 c0 {1,[S,D]} -4 X u0 p0 c0 {2,[S,D]} +1 * X u0 p0 c0 {2,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} +6 R u0 c0 {3,S} +7 R u0 c0 {3,S} +8 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -1376,14 +1424,14 @@ entry( index = 73, - label = "(CR3)*", + label = "C-XR2N", group = """ -1 C u0 {2,D} {3,S} {4,S} -2 R!H u0 {1,D} -3 R u0 {1,S} -4 R u0 {1,S} -5 * X u0 +1 * X u0 p0 c0 {2,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 N u0 p1 c0 {2,S} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} """, thermo = None, shortDesc = """""", @@ -1395,13 +1443,15 @@ entry( index = 74, - label = "(CR2)*", + label = "C-XR2OR", group = """ -1 C u0 {2,T} {3,S} -2 R!H u0 {1,T} -3 R u0 {1,S} -4 * X u0 +1 * X u0 p0 c0 {2,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 O u0 p2 c0 {2,S} {6,S} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} +6 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -1413,13 +1463,12 @@ entry( index = 75, - label = "(N=[O,N]R)*", + label = "C=X(=R)", group = """ -1 N u0 {2,D} {3,S} -2 [N,O] u0 {1,D} -3 R u0 {1,S} -4 * X u0 +1 * X u0 p0 c0 {2,D} +2 C u0 p0 c0 {1,D} {3,D} +3 R!H u0 c0 {2,D} """, thermo = None, shortDesc = """""", @@ -1431,14 +1480,12 @@ entry( index = 76, - label = "N-*RN=*", + label = "C=X(=C)", group = """ -1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 N u0 p1 c0 {1,S} {5,D} -3 * X u0 p0 c0 {1,S} -4 R u0 p0 c0 {1,S} -5 X u0 p0 c0 {2,D} +1 * X u0 p0 c0 {2,D} +2 C u0 p0 c0 {1,D} {3,D} +3 C u0 p0 c0 {2,D} """, thermo = None, shortDesc = """""", @@ -1450,14 +1497,13 @@ entry( index = 77, - label = "(CRCR)*", + label = "C=X(=NR)", group = """ -1 C u0 p0 c0 {2,T} {3,S} -2 C u0 p0 c0 {1,T} {4,S} -3 R u0 c0 {1,S} -4 R u0 c0 {2,S} -5 * X u0 p0 c0 +1 * X u0 p0 c0 {2,D} +2 C u0 p0 c0 {1,D} {3,D} +3 N u0 p1 c0 {2,D} {4,S} +4 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -1469,15 +1515,13 @@ entry( index = 78, - label = "C-*R2N=*", + label = "C=XR2", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 N u0 p1 c0 {1,S} {6,D} -3 * X u0 p0 c0 {1,S} -4 R u0 p0 c0 {1,S} -5 R u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,D} +1 * X u0 p0 c0 {2,D} +2 C u0 p0 c0 {1,D} {3,S} {4,S} +3 R u0 c0 {2,S} +4 R u0 c0 {2,S} """, thermo = None, shortDesc = """""", @@ -1489,16 +1533,15 @@ entry( index = 79, - label = "C-*R2N-*R", + label = "C=XRCR2", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 N u0 p1 c0 {1,S} {6,S} {7,S} -3 * X u0 p0 c0 {1,S} -4 R u0 p0 c0 {1,S} -5 R u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,S} -7 R u0 p0 c0 {2,S} +1 * X u0 p0 c0 {3,D} +2 C u0 p0 c0 {3,S} {4,S} {5,D} +3 C u0 p0 c0 {1,D} {2,S} {6,S} +4 R u0 c0 {2,S} +5 R!H u0 c0 {2,D} +6 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -1510,12 +1553,16 @@ entry( index = 80, - label = "C=*(=C)", + label = "C=XRCR3", group = """ -1 C u0 p0 c0 {2,D} {3,D} -2 * X u0 p0 c0 {1,D} -3 C u0 p0 c0 {1,D} +1 * X u0 p0 c0 {3,D} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 C u0 p0 c0 {1,D} {2,S} {7,S} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} +6 R u0 c0 {2,S} +7 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -1527,15 +1574,13 @@ entry( index = 81, - label = "C-*R2O-*", + label = "C=XRN", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 O u0 p2 c0 {1,S} {6,S} -3 * X u0 p0 c0 {1,S} -4 R u0 c0 {1,S} -5 R u0 c0 {1,S} -6 X u0 p0 c0 {2,S} +1 * X u0 p0 c0 {2,D} +2 C u0 p0 c0 {1,D} {3,S} {4,S} +3 N u0 p1 c0 {2,S} +4 R u0 p0 c0 {2,S} """, thermo = None, shortDesc = """""", @@ -1547,15 +1592,14 @@ entry( index = 82, - label = "(CR2CR)*", + label = "C=XROR", group = """ -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 C u0 p0 c0 {1,D} {5,S} -3 R u0 c0 {1,S} -4 R u0 c0 {1,S} -5 R u0 c0 {2,S} -6 * X u0 p0 c0 +1 * X u0 p0 c0 {2,D} +2 C u0 p0 c0 {1,D} {3,S} {4,S} +3 O u0 p2 c0 {2,S} {5,S} +4 R u0 c0 {2,S} +5 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -1567,15 +1611,11 @@ entry( index = 83, - label = "C=*RC-*R", + label = "NX", group = """ -1 C u0 p0 c0 {2,S} {3,D} {5,S} -2 C u0 p0 c0 {1,S} {4,S} {6,D} -3 * X u0 p0 c0 {1,D} -4 X u0 p0 c0 {2,S} -5 R u0 c0 {1,S} -6 R!H u0 c0 {2,D} +1 * X u0 {2,[S,D,T]} +2 N u0 {1,[S,D,T]} """, thermo = None, shortDesc = """""", @@ -1587,14 +1627,12 @@ entry( index = 84, - label = "C#*C-*R", + label = "N-XR", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,D} -2 C u0 p0 c0 {1,S} {5,T} -3 X u0 p0 c0 {1,S} -4 R!H u0 c0 {1,D} -5 * X u0 p0 c0 {2,T} +1 * X u0 p0 c0 {2,S} +2 N u0 p1 c0 {1,S} {3,D} +3 R!H u0 c0 {2,D} """, thermo = None, shortDesc = """""", @@ -1606,15 +1644,13 @@ entry( index = 85, - label = "C#*C-*R2", + label = "N-XCR", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,T} -3 X u0 p0 c0 {1,S} -4 R u0 c0 {1,S} -5 R u0 c0 {1,S} -6 * X u0 p0 c0 {2,T} +1 * X u0 p0 c0 {2,S} +2 N u0 p1 c0 {1,S} {3,D} +3 C u0 p0 c0 {2,D} {4,D} +4 R!H u0 c0 {3,D} """, thermo = None, shortDesc = """""", @@ -1626,16 +1662,14 @@ entry( index = 86, - label = "C-*R2C-*R", + label = "N-XCR2", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,D} -3 * X u0 p0 c0 {1,S} -4 R u0 c0 {1,S} -5 R u0 c0 {1,S} -6 X u0 p0 c0 {2,S} -7 R!H u0 c0 {2,D} +1 * X u0 p0 c0 {3,S} +2 C u0 p0 c0 {3,D} {4,S} {5,S} +3 N u0 p1 c0 {1,S} {2,D} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} """, thermo = None, shortDesc = """""", @@ -1647,15 +1681,13 @@ entry( index = 87, - label = "C-*RC-*R", + label = "N-XNR", group = """ -1 C u0 p0 c0 {2,D} {3,S} {5,S} -2 C u0 p0 c0 {1,D} {4,S} {6,S} -3 * X u0 p0 c0 {1,S} -4 X u0 p0 c0 {2,S} -5 R u0 c0 {1,S} -6 R u0 c0 {2,S} +1 * X u0 p0 c0 {2,S} +2 N u0 p1 c0 {1,S} {3,D} +3 N u0 p1 c0 {2,D} {4,S} +4 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -1667,14 +1699,13 @@ entry( index = 88, - label = "C#*C=*R", + label = "N-XR2", group = """ -1 C u0 p0 c0 {2,S} {3,D} {4,S} -2 C u0 p0 c0 {1,S} {5,T} -3 X u0 p0 c0 {1,D} -4 R u0 c0 {1,S} -5 * X u0 p0 c0 {2,T} +1 * X u0 p0 c0 {2,[S,D]} +2 N u0 {1,[S,D]} {3,[S,D]} {4,[S,D]} +3 R!H u0 {2,[S,D]} +4 R u0 c0 {2,[S,D]} """, thermo = None, shortDesc = """""", @@ -1686,16 +1717,14 @@ entry( index = 89, - label = "C=*=R-C-*R2", + label = "N-XRCR", group = """ -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 R!H u0 c0 {1,S} {3,D} -3 C u0 p0 c0 {2,D} {7,D} -4 X u0 p0 c0 {1,S} -5 R u0 c0 {1,S} -6 R u0 c0 {1,S} -7 * X u0 p0 c0 {3,D} +1 * X u0 p0 c0 {2,S} +2 N u0 p1 c0 {1,S} {3,S} {4,S} +3 C u0 p0 c0 {2,S} {5,D} +4 R u0 c0 {2,S} +5 R!H u0 c0 {3,D} """, thermo = None, shortDesc = """""", @@ -1707,18 +1736,16 @@ entry( index = 90, - label = "R2C-*-R-C-*R2", + label = "N-XRCR3", group = """ -1 C u0 p0 c0 {3,S} {4,S} {8,S} {9,S} -2 C u0 p0 c0 {3,S} {5,S} {6,S} {7,S} -3 R!H u0 c0 {1,S} {2,S} -4 * X u0 p0 c0 {1,S} -5 X u0 p0 c0 {2,S} -6 R u0 c0 {2,S} -7 R u0 c0 {2,S} -8 R u0 c0 {1,S} -9 R u0 c0 {1,S} +1 * X u0 p0 c0 {3,S} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 N u0 p1 c0 {1,S} {2,S} {7,S} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} +6 R u0 c0 {2,S} +7 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -1730,16 +1757,14 @@ entry( index = 91, - label = "RC=*-R=C-*R", + label = "N-XRNR", group = """ -1 C u0 p0 c0 {3,S} {4,D} {6,S} -2 C u0 p0 c0 {3,D} {5,S} {7,S} -3 R!H u0 c0 {1,S} {2,D} -4 * X u0 p0 c0 {1,D} -5 X u0 p0 c0 {2,S} -6 R u0 c0 {1,S} -7 R u0 c0 {2,S} +1 * X u0 p0 c0 {2,S} +2 N u0 p1 c0 {1,S} {3,S} {4,S} +3 N u0 p1 c0 {2,S} {5,D} +4 R u0 c0 {2,S} +5 R!H u0 c0 {3,D} """, thermo = None, shortDesc = """""", @@ -1751,17 +1776,15 @@ entry( index = 92, - label = "RC-*=R-C-*R2", + label = "N-XRNR2", group = """ -1 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {3,D} {7,S} {8,S} -3 R!H u0 c0 {1,S} {2,D} -4 X u0 p0 c0 {1,S} -5 R u0 c0 {1,S} -6 R u0 c0 {1,S} -7 * X u0 p0 c0 {2,S} -8 R u0 c0 {2,S} +1 * X u0 p0 c0 {2,S} +2 N u0 p1 c0 {1,S} {3,S} {4,S} +3 N u0 p1 c0 {2,S} {5,S} {6,S} +4 R u0 c0 {2,S} +5 R u0 c0 {3,S} +6 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -1773,17 +1796,14 @@ entry( index = 93, - label = "RC=*-R-C-*R2", + label = "N-XROR", group = """ -1 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {3,S} {7,D} {8,S} -3 R!H u0 c0 {1,S} {2,S} -4 X u0 p0 c0 {1,S} -5 R u0 c0 {1,S} -6 R u0 c0 {1,S} -7 * X u0 p0 c0 {2,D} -8 R u0 c0 {2,S} +1 * X u0 p0 c0 {2,S} +2 N u0 p1 c0 {1,S} {3,S} {4,S} +3 O u0 p2 c0 {2,S} {5,S} +4 R u0 c0 {2,S} +5 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -1795,16 +1815,13 @@ entry( index = 94, - label = "RC-*=R=C-*R", + label = "N[+]-XR[-]R", group = """ -1 C u0 p0 c0 {3,D} {4,S} {6,S} -2 C u0 p0 c0 {3,D} {5,S} {7,S} -3 R!H u0 p0 c0 {1,D} {2,D} -4 * X u0 p0 c0 {1,S} -5 X u0 p0 c0 {2,S} -6 R u0 c0 {1,S} -7 R u0 c0 {2,S} +1 * X u0 p0 c0 {2,S} +2 N u0 p0 c+1 {1,S} {3,S} {4,D} +3 R!H u0 p[1,2,3] c-1 {2,S} +4 R!H u0 c0 {2,D} """, thermo = None, shortDesc = """""", @@ -1816,15 +1833,13 @@ entry( index = 95, - label = "RC-*=R=C=*", + label = "N[+]=XR[-]R", group = """ -1 C u0 p0 c0 {2,D} {4,S} {5,S} -2 R!H u0 p0 c0 {1,D} {3,D} -3 C u0 p0 c0 {2,D} {6,D} -4 * X u0 p0 c0 {1,S} -5 R u0 c0 {1,S} -6 X u0 p0 c0 {3,D} +1 * X u0 p0 c0 {2,D} +2 N u0 p0 c+1 {1,D} {3,S} {4,S} +3 R!H u0 p[1,2,3] c-1 {2,S} +4 R u0 c0 {2,S} """, thermo = None, shortDesc = """""", @@ -1836,14 +1851,12 @@ entry( index = 96, - label = "O-*-C-O-*", + label = "N=XR", group = """ -1 C u0 p0 c0 {2,S} {3,S} -2 O u0 p2 c0 {1,S} {4,S} -3 O u0 p2 c0 {1,S} {5,S} -4 * X u0 p0 c0 {2,S} -5 X u0 p0 c0 {3,S} +1 * X u0 p0 c0 {2,D} +2 N u0 p1 c0 {1,D} {3,S} +3 R u0 c0 {2,S} """, thermo = None, shortDesc = """""", @@ -1855,15 +1868,13 @@ entry( index = 97, - label = "RC-*=R-O-*", + label = "N=XC#R", group = """ -1 C u0 p0 c0 {2,D} {4,S} {5,S} -2 R!H u0 c0 {1,D} {3,S} -3 O u0 p2 c0 {2,S} {6,S} -4 * X u0 p0 c0 {1,S} -5 R u0 c0 {1,S} -6 X u0 p0 c0 {3,S} +1 * X u0 p0 c0 {2,D} +2 N u0 p1 c0 {1,D} {3,S} +3 C u0 p0 c0 {2,S} {4,T} +4 R!H u0 c0 {3,T} """, thermo = None, shortDesc = """""", @@ -1875,13 +1886,13 @@ entry( index = 98, - label = "C-*R2", + label = "N=XC-R", group = """ -1 C u0 p0 c0 {2,S} {3,D} {4,S} -2 * X u0 p0 c0 {1,S} -3 R!H u0 c0 {1,D} -4 R u0 c0 {1,S} +1 * X u0 p0 c0 {3,D} +2 C u0 p0 c0 {3,S} {4,S} +3 N u0 p1 c0 {1,D} {2,S} +4 R u0 c0 {2,S} """, thermo = None, shortDesc = """""", @@ -1893,15 +1904,12 @@ entry( index = 99, - label = "C=*RCR2", + label = "N=XN", group = """ -1 C u0 p0 c0 {2,S} {4,S} {5,D} -2 C u0 p0 c0 {1,S} {3,D} {6,S} -3 * X u0 p0 c0 {2,D} -4 R u0 c0 {1,S} -5 R!H u0 c0 {1,D} -6 R u0 c0 {2,S} +1 * X u0 p0 c0 {2,D} +2 N u0 p1 c0 {1,D} {3,S} +3 N u0 p1 c0 {2,S} """, thermo = None, shortDesc = """""", @@ -1913,14 +1921,13 @@ entry( index = 100, - label = "C#*CR2", + label = "N=XOR", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,D} -2 C u0 p0 c0 {1,S} {5,T} -3 R u0 c0 {1,S} -4 R!H u0 c0 {1,D} -5 * X u0 p0 c0 {2,T} +1 * X u0 p0 c0 {2,D} +2 N u0 p1 c0 {1,D} {3,S} +3 O u0 p2 c0 {2,S} {4,S} +4 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -1932,14 +1939,11 @@ entry( index = 101, - label = "O-*CR2", + label = "OX", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,D} -2 O u0 p2 c0 {1,S} {5,S} -3 R u0 c0 {1,S} -4 R!H u0 c0 {1,D} -5 * X u0 p0 c0 {2,S} +1 * X u0 {2,[S,D]} +2 O ux {1,[S,D]} """, thermo = None, shortDesc = """""", @@ -1951,14 +1955,12 @@ entry( index = 102, - label = "C*RC*", + label = "O-XR", group = """ -1 R!H u0 {2,[S,D,T]} {3,[S,D,T]} -2 C u0 {1,[S,D,T]} {4,[S,D,T]} -3 C u0 {1,[S,D,T]} {5,[S,D,T]} -4 * X u0 {2,[S,D,T]} -5 X u0 {3,[S,D,T]} +1 * X u0 p0 c0 {2,S} +2 O u0 p2 c0 {1,S} {3,S} +3 R u0 c0 {2,S} """, thermo = None, shortDesc = """""", @@ -1970,14 +1972,14 @@ entry( index = 103, - label = "R*bridged-bidentate", + label = "O-XCR2", group = """ -1 R!H ux {2,[S,D,T]} {3,[S,D,T]} -2 R!H ux {1,[S,D,T]} {4,[S,D,T]} -3 R!H ux {1,[S,D,T]} {5,[S,D,T]} -4 * X u0 {2,[S,D,T]} -5 X u0 {3,[S,D,T]} +1 * X u0 p0 c0 {3,S} +2 C u0 p0 c0 {3,S} {4,S} {5,D} +3 O u0 p2 c0 {1,S} {2,S} +4 R u0 c0 {2,S} +5 R!H u0 c0 {2,D} """, thermo = None, shortDesc = """""", @@ -1989,14 +1991,15 @@ entry( index = 104, - label = "C*RO*", + label = "O-XCR3", group = """ -1 R!H u0 {2,[S,D,T]} {3,S} -2 C u0 {1,[S,D,T]} {4,[S,D,T]} -3 O u0 p2 {1,S} {5,S} -4 * X u0 {2,[S,D,T]} -5 X u0 {3,S} +1 * X u0 p0 c0 {3,S} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 O u0 p2 c0 {1,S} {2,S} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} +6 R u0 c0 {2,S} """, thermo = None, shortDesc = """""", @@ -2008,14 +2011,12 @@ entry( index = 105, - label = "O*RO*", + label = "O-XN", group = """ -1 R!H u0 c0 {2,S} {3,S} -2 O u0 p2 c0 {1,S} {4,S} -3 O u0 p2 c0 {1,S} {5,S} -4 * X u0 p0 c0 {2,S} -5 X u0 p0 c0 {3,S} +1 * X u0 p0 c0 {3,S} +2 N u0 p1 c0 {3,S} +3 O u0 p2 c0 {1,S} {2,S} """, thermo = None, shortDesc = """""", @@ -2027,16 +2028,13 @@ entry( index = 106, - label = "C#*-R-C-*R2", + label = "O-XOR", group = """ -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 R!H u0 c0 {1,S} {3,S} -3 C u0 p0 c0 {2,S} {7,T} -4 X u0 p0 c0 {1,S} -5 R u0 c0 {1,S} -6 R u0 c0 {1,S} -7 * X u0 p0 c0 {3,T} +1 * X u0 p0 c0 {2,S} +2 O u0 p2 c0 {1,S} {3,S} +3 O u0 p2 c0 {2,S} {4,S} +4 R u0 p0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -2048,15 +2046,11 @@ entry( index = 107, - label = "C#*-R=C-*R", + label = "RXvdW", group = """ -1 C u0 p0 c0 {2,D} {4,S} {5,S} -2 R!H u0 c0 {1,D} {3,S} -3 C u0 p0 c0 {2,S} {6,T} -4 X u0 p0 c0 {1,S} -5 R u0 c0 {1,S} -6 * X u0 p0 c0 {3,T} +1 * X u0 +2 R u0 """, thermo = None, shortDesc = """""", @@ -2068,14 +2062,13 @@ entry( index = 108, - label = "C#*-R-C#*", + label = "(CR2)X", group = """ -1 R!H u0 c0 {2,S} {3,S} -2 C u0 p0 c0 {1,S} {4,T} -3 C u0 p0 c0 {1,S} {5,T} -4 * X u0 p0 c0 {2,T} -5 X u0 p0 c0 {3,T} +1 * X u0 +2 C u0 {3,T} {4,S} +3 R!H u0 {2,T} +4 R u0 {2,S} """, thermo = None, shortDesc = """""", @@ -2087,16 +2080,14 @@ entry( index = 109, - label = "RC=*-R-C=*R", + label = "(CRCR)X", group = """ -1 C u0 p0 c0 {3,S} {4,D} {6,S} -2 C u0 p0 c0 {3,S} {5,D} {7,S} -3 R!H u0 c0 {1,S} {2,S} -4 * X u0 p0 c0 {1,D} -5 X u0 p0 c0 {2,D} -6 R u0 c0 {1,S} -7 R u0 c0 {2,S} +1 * X u0 p0 c0 +2 C u0 p0 c0 {3,T} {4,S} +3 C u0 p0 c0 {2,T} {5,S} +4 R u0 c0 {2,S} +5 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -2108,15 +2099,340 @@ entry( index = 110, - label = "C#*-R-C=*R", + label = "(CRN)X", + group = +""" +1 * X u0 p0 c0 +2 C u0 p0 c0 {3,T} {4,S} +3 N u0 p1 c0 {2,T} +4 R u0 c0 {2,S} +""", + thermo = None, + shortDesc = """""", + longDesc = +""" + +""", +) + +entry( + index = 111, + label = "(CR3)X", + group = +""" +1 * X u0 +2 C u0 {3,D} {4,S} {5,S} +3 R!H u0 {2,D} +4 R u0 {2,S} +5 R u0 {2,S} +""", + thermo = None, + shortDesc = """""", + longDesc = +""" + +""", +) + +entry( + index = 112, + label = "(CR2CR)X", + group = +""" +1 * X u0 p0 c0 +2 C u0 p0 c0 {3,D} {4,S} {5,S} +3 C u0 p0 c0 {2,D} {6,S} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} +6 R u0 c0 {3,S} +""", + thermo = None, + shortDesc = """""", + longDesc = +""" + +""", +) + +entry( + index = 113, + label = "(CR2N)X", + group = +""" +1 * X u0 p0 c0 +2 C u0 p0 c0 {3,D} {4,S} {5,S} +3 N u0 p1 c0 {2,D} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} +""", + thermo = None, + shortDesc = """""", + longDesc = +""" + +""", +) + +entry( + index = 114, + label = "(CR2O)X", + group = +""" +1 * X u0 p0 c0 +2 C u0 p0 c0 {3,D} {4,S} {5,S} +3 O u0 p2 c0 {2,D} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} +""", + thermo = None, + shortDesc = """""", + longDesc = +""" + +""", +) + +entry( + index = 115, + label = "(CR4)X", + group = +""" +1 * X u0 p0 c0 +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 R u0 c0 {2,S} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} +6 R u0 c0 {2,S} +""", + thermo = None, + shortDesc = """""", + longDesc = +""" + +""", +) + +entry( + index = 116, + label = "(CR3CR3)X", + group = +""" +1 * X u0 p0 c0 +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 C u0 p0 c0 {2,S} {7,S} {8,S} {9,S} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} +6 R u0 c0 {2,S} +7 R u0 c0 {3,S} +8 R u0 c0 {3,S} +9 R u0 c0 {3,S} +""", + thermo = None, + shortDesc = """""", + longDesc = +""" + +""", +) + +entry( + index = 117, + label = "(CR3N)X", + group = +""" +1 * X u0 p0 c0 +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 N u0 p1 c0 {2,S} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} +6 R u0 c0 {2,S} +""", + thermo = None, + shortDesc = """""", + longDesc = +""" + +""", +) + +entry( + index = 118, + label = "(CR3OR)X", + group = +""" +1 * X u0 p0 c0 +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 O u0 p2 c0 {2,S} {7,S} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} +6 R u0 c0 {2,S} +7 R u0 p0 c0 {3,S} +""", + thermo = None, + shortDesc = """""", + longDesc = +""" + +""", +) + +entry( + index = 119, + label = "(N=C)X", + group = +""" +1 * X u0 p0 c0 +2 N u0 p1 c0 {3,D} {4,S} +3 C u0 p0 c0 {2,D} {5,D} +4 R u0 p0 c0 {2,S} +5 R!H u0 p[1,2] c0 {3,D} +""", + thermo = None, + shortDesc = """""", + longDesc = +""" + +""", +) + +entry( + index = 120, + label = "(NR3)X", + group = +""" +1 * X u0 p0 c0 +2 N u0 p1 c0 {3,S} {4,S} {5,S} +3 R u0 c0 {2,S} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} +""", + thermo = None, + shortDesc = """""", + longDesc = +""" + +""", +) + +entry( + index = 121, + label = "(NN)X", + group = +""" +1 * X u0 p0 c0 +2 N u0 p1 c0 {3,S} {4,S} {5,S} +3 N u0 p1 c0 {2,S} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} +""", + thermo = None, + shortDesc = """""", + longDesc = +""" + +""", +) + +entry( + index = 122, + label = "(NO)X", + group = +""" +1 * X u0 p0 c0 +2 N u0 p1 c0 {3,S} {4,S} {5,S} +3 O u0 p2 c0 {2,S} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} +""", + thermo = None, + shortDesc = """""", + longDesc = +""" + +""", +) + +entry( + index = 123, + label = "(OR)X", + group = +""" +1 * X u0 p0 c0 +2 O u0 p2 c0 {3,D} +3 R!H u0 p1 c0 {2,D} +""", + thermo = None, + shortDesc = """""", + longDesc = +""" + +""", +) + +entry( + index = 124, + label = "(ONR)X", + group = +""" +1 * X u0 p0 c0 +2 O u0 p2 c0 {3,D} +3 N u0 p1 c0 {2,D} {4,S} +4 R u0 c0 {3,S} +""", + thermo = None, + shortDesc = """""", + longDesc = +""" + +""", +) + +entry( + index = 125, + label = "(ONN)X", + group = +""" +1 * X u0 p0 c0 +2 O u0 p2 c0 {3,D} +3 N u0 p1 c0 {2,D} {4,S} +4 N u0 p2 c0 {3,S} +""", + thermo = None, + shortDesc = """""", + longDesc = +""" + +""", +) + +entry( + index = 126, + label = "(ONOR)X", + group = +""" +1 * X u0 p0 c0 +2 O u0 p2 c0 {3,D} +3 N u0 p1 c0 {2,D} {4,S} +4 O u0 p2 c0 {3,S} {5,S} +5 R u0 c0 {4,S} +""", + thermo = None, + shortDesc = """""", + longDesc = +""" + +""", +) + +entry( + index = 127, + label = "(OR2)X", group = """ -1 C u0 p0 c0 {2,S} {4,D} {5,S} -2 R!H u0 c0 {1,S} {3,S} -3 C u0 p0 c0 {2,S} {6,T} -4 X u0 p0 c0 {1,D} -5 R u0 c0 {1,S} -6 * X u0 p0 c0 {3,T} +1 * X u0 p0 c0 +2 O u0 p2 c0 {3,S} {4,S} +3 R u0 p[0,1,2] c0 {2,S} +4 R u0 p[0,1,2] c0 {2,S} """, thermo = None, shortDesc = """""", diff --git a/input/thermo/uncertainty/adsorptionPt111/species_dictionary.txt b/input/thermo/uncertainty/adsorptionPt111/species_dictionary.txt index 8794b028b4..ddfcbf3e0f 100644 --- a/input/thermo/uncertainty/adsorptionPt111/species_dictionary.txt +++ b/input/thermo/uncertainty/adsorptionPt111/species_dictionary.txt @@ -1,4 +1,75 @@ -C3H4X(0) +[Pt](0) +1 X u0 p0 c0 + +CHO3X(1) +1 O u0 p2 c0 {4,S} {6,S} +2 O u0 p2 c0 {4,S} {5,S} +3 O u0 p2 c0 {4,D} +4 C u0 p0 c0 {1,S} {2,S} {3,D} +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 {1,S} + +CH2NOX2(2) +1 O u0 p2 c0 {3,S} {5,S} +2 N u0 p1 c0 {3,S} {4,S} {7,S} +3 C u0 p0 c0 {1,S} {2,S} {6,D} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 {3,D} +7 X u0 p0 c0 {2,S} + +N[Pt](3) +1 N u0 p1 c0 {2,S} {3,S} {4,S} +2 H u0 p0 c0 {1,S} +3 H u0 p0 c0 {1,S} +4 X u0 p0 c0 {1,S} + +OO.[Pt](4) +1 O u0 p2 c0 {2,S} {3,S} +2 O u0 p2 c0 {1,S} {4,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {2,S} +5 X u0 p0 c0 + +CH4O2X(5) +1 O u0 p2 c0 {3,S} {6,S} +2 O u0 p2 c0 {3,S} {7,S} +3 C u0 p0 c0 {1,S} {2,S} {4,S} {5,S} +4 H u0 p0 c0 {3,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {2,S} +8 X u0 p0 c0 + +CH2NX +1 N u0 p1 c0 {2,D} {4,S} +2 C u0 p0 c0 {1,D} {3,S} {5,S} +3 H u0 p0 c0 {2,S} +4 H u0 p0 c0 {1,S} +5 X u0 p0 c0 {2,S} + +C3H4X(7) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {3,T} +3 C u0 p0 c0 {2,T} {7,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {3,S} +8 X u0 p0 c0 + +CC.[Pt](8) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {2,S} +9 X u0 p0 c0 + +C3H4X(9) 1 C u0 p0 c0 {3,D} {4,S} {5,S} 2 C u0 p0 c0 {3,D} {6,S} {7,S} 3 C u0 p0 c0 {1,D} {2,D} @@ -8,24 +79,37 @@ C3H4X(0) 7 H u0 p0 c0 {2,S} 8 X u0 p0 c0 -C2H4X(1) -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 C u0 p0 c0 {1,D} {5,S} {6,S} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 +COX(10) +1 O u0 p2 c0 {2,D} +2 C u0 p0 c0 {1,D} {3,D} +3 X u0 p0 c0 {2,D} -C2H2OX(2) -1 O u0 p2 c0 {3,D} -2 C u0 p0 c0 {3,D} {4,S} {5,S} -3 C u0 p0 c0 {1,D} {2,D} +HNOX(11) +1 O u0 p3 c-1 {2,S} +2 N u0 p0 c+1 {1,S} {3,S} {4,D} +3 H u0 p0 c0 {2,S} +4 X u0 p0 c0 {2,D} + +CHOX(12) +1 O u0 p2 c0 {2,D} +2 C u0 p0 c0 {1,D} {3,S} {4,S} +3 H u0 p0 c0 {2,S} +4 X u0 p0 c0 {2,S} + +CH2OX2(13) +1 O u0 p2 c0 {2,S} {6,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 +5 X u0 p0 c0 {2,S} +6 X u0 p0 c0 {1,S} + +CHX(14) +1 C u0 p0 c0 {2,S} {3,T} +2 H u0 p0 c0 {1,S} +3 X u0 p0 c0 {1,T} -CH3NX(3) +CH3NX(15) 1 N u0 p1 c0 {2,D} {5,S} 2 C u0 p0 c0 {1,D} {3,S} {4,S} 3 H u0 p0 c0 {2,S} @@ -33,378 +117,257 @@ CH3NX(3) 5 H u0 p0 c0 {1,S} 6 X u0 p0 c0 -CH2OX(4) -1 O u0 p2 c0 {2,D} -2 C u0 p0 c0 {1,D} {3,S} {4,S} -3 H u0 p0 c0 {2,S} +C2H4X(16) +1 C u0 p0 c0 {2,D} {3,S} {4,S} +2 C u0 p0 c0 {1,D} {5,S} {6,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 + +CH3N2X2(17) +1 N u0 p1 c0 {2,S} {3,S} {7,S} +2 N u0 p1 c0 {1,S} {8,D} +3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S} +4 H u0 p0 c0 {3,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {3,S} +7 X u0 p0 c0 {1,S} +8 X u0 p0 c0 {2,D} + +NO3X3(18) +1 O u0 p2 c0 {4,S} {5,S} +2 O u0 p2 c0 {4,S} {6,S} +3 O u0 p2 c0 {4,S} {7,S} +4 N u0 p1 c0 {1,S} {2,S} {3,S} +5 X u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,S} +7 X u0 p0 c0 {3,S} + +C2H5OX(19) +1 O u0 p2 c0 {2,S} {8,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 C u0 p0 c0 {2,S} {6,S} {7,S} {9,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {1,S} +9 X u0 p0 c0 {3,S} -C3H5X(5) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {3,D} {9,S} -3 C u0 p0 c0 {2,D} {7,S} {8,S} +C3H3X(20) +1 C u0 p0 c0 {2,D} {3,S} {4,S} +2 C u0 p0 c0 {1,D} {5,S} {6,S} +3 C u0 p0 c0 {1,S} {7,T} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 {3,T} + +C2H3X(21) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,T} +3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,T} + +CH3NOX(22) +1 O u0 p2 c0 {3,S} {6,S} +2 N u0 p1 c0 {3,S} {4,S} {5,S} +3 C u0 p0 c0 {1,S} {2,S} {7,D} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} 6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {3,S} -9 X u0 p0 c0 {2,S} +7 X u0 p0 c0 {3,D} -C2H3OX(6) -1 O u0 p2 c0 {2,S} {6,S} -2 C u0 p0 c0 {1,S} {3,D} {7,S} -3 C u0 p0 c0 {2,D} {4,S} {5,S} -4 H u0 p0 c0 {3,S} -5 H u0 p0 c0 {3,S} +C2H3OX2(23) +1 O u0 p2 c0 {3,S} {6,S} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {7,S} +3 C u0 p0 c0 {1,S} {2,S} {8,D} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} 6 H u0 p0 c0 {1,S} 7 X u0 p0 c0 {2,S} +8 X u0 p0 c0 {3,D} -C3H8X(7) +C3H6X(24) 1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} 2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S} +3 C u0 p0 c0 {1,S} {9,S} {10,D} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {1,S} 6 H u0 p0 c0 {2,S} 7 H u0 p0 c0 {2,S} 8 H u0 p0 c0 {2,S} 9 H u0 p0 c0 {3,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} -12 X u0 p0 c0 - -C2H6OX(8) -1 O u0 p2 c0 {2,S} {9,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} -3 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {3,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {3,S} -9 H u0 p0 c0 {1,S} -10 X u0 p0 c0 +10 X u0 p0 c0 {3,D} -C3H5OX(9) -1 O u0 p2 c0 {4,D} -2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} -3 C u0 p0 c0 {2,S} {7,S} {8,S} {9,S} -4 C u0 p0 c0 {1,D} {2,S} {10,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {3,S} -9 H u0 p0 c0 {3,S} -10 X u0 p0 c0 {4,S} +CHNX2(25) +1 N u0 p1 c0 {2,S} {5,D} +2 C u0 p0 c0 {1,S} {3,S} {4,D} +3 H u0 p0 c0 {2,S} +4 X u0 p0 c0 {2,D} +5 X u0 p0 c0 {1,D} -C2H6X(10) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 H u0 p0 c0 {1,S} +CH2N2X2(26) +1 N u0 p1 c0 {3,S} {4,S} {7,S} +2 N u0 p1 c0 {3,D} {5,S} +3 C u0 p0 c0 {1,S} {2,D} {6,S} 4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 X u0 p0 c0 +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 {3,S} +7 X u0 p0 c0 {1,S} -C3H6X(11) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {3,D} {7,S} -3 C u0 p0 c0 {2,D} {8,S} {9,S} +C3H7X(27) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,S} {7,S} {11,S} +3 C u0 p0 c0 {1,S} {8,S} {9,S} {10,S} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} 7 H u0 p0 c0 {2,S} 8 H u0 p0 c0 {3,S} 9 H u0 p0 c0 {3,S} -10 X u0 p0 c0 +10 H u0 p0 c0 {3,S} +11 X u0 p0 c0 {2,S} -C2H4OX(12) +CNOX2(28) 1 O u0 p2 c0 {3,D} -2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} -3 C u0 p0 c0 {1,D} {2,S} {7,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {3,S} -8 X u0 p0 c0 +2 N u0 p1 c0 {3,S} {5,D} +3 C u0 p0 c0 {1,D} {2,S} {4,S} +4 X u0 p0 c0 {3,S} +5 X u0 p0 c0 {2,D} -CH5NX(13) -1 N u0 p1 c0 {2,S} {6,S} {7,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} -3 H u0 p0 c0 {2,S} +C2H2X2(29) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,T} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 X u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,T} + +C2H3X(30) +1 C u0 p0 c0 {2,D} {3,S} {6,S} +2 C u0 p0 c0 {1,D} {4,S} {5,S} +3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {2,S} 5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {1,S} -8 X u0 p0 c0 +6 X u0 p0 c0 {1,S} -CH4N2OX(14) -1 O u0 p2 c0 {2,S} {8,S} -2 N u0 p0 c+1 {1,S} {3,S} {9,D} -3 N u0 p2 c-1 {2,S} {4,S} -4 C u0 p0 c0 {3,S} {5,S} {6,S} {7,S} -5 H u0 p0 c0 {4,S} -6 H u0 p0 c0 {4,S} -7 H u0 p0 c0 {4,S} -8 H u0 p0 c0 {1,S} -9 X u0 p0 c0 {2,D} - -C2H6O2X(15) -1 O u0 p2 c0 {3,S} {4,S} -2 O u0 p2 c0 {3,S} {10,S} -3 C u0 p0 c0 {1,S} {2,S} {5,S} {6,S} -4 C u0 p0 c0 {1,S} {7,S} {8,S} {9,S} -5 H u0 p0 c0 {3,S} -6 H u0 p0 c0 {3,S} -7 H u0 p0 c0 {4,S} -8 H u0 p0 c0 {4,S} -9 H u0 p0 c0 {4,S} -10 H u0 p0 c0 {2,S} -11 X u0 p0 c0 - -C2H6OX(16) -1 O u0 p2 c0 {2,S} {3,S} -2 C u0 p0 c0 {1,S} {4,S} {5,S} {9,S} -3 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {3,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {3,S} -9 H u0 p0 c0 {2,S} -10 X u0 p0 c0 - -CH4OX(17) -1 O u0 p2 c0 {2,S} {6,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {1,S} -7 X u0 p0 c0 - -C3H6X(18) -1 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {3,S} {7,S} {8,S} {9,S} -3 C u0 p0 c0 {1,S} {2,S} {10,D} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {2,S} -10 X u0 p0 c0 {3,D} - -C3H7X(19) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {11,S} -2 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} -3 C u0 p0 c0 {1,S} {8,S} {9,S} {10,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {3,S} -9 H u0 p0 c0 {3,S} -10 H u0 p0 c0 {3,S} -11 X u0 p0 c0 {1,S} - -C2H5OX(20) -1 O u0 p2 c0 {2,S} {8,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {9,S} -3 C u0 p0 c0 {2,S} {5,S} {6,S} {7,S} +C2H2X(31) +1 C u0 p0 c0 {2,T} {3,S} +2 C u0 p0 c0 {1,T} {4,S} +3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {3,S} -6 H u0 p0 c0 {3,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {1,S} -9 X u0 p0 c0 {2,S} - -C3H6X2(21) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {10,S} -2 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} -3 C u0 p0 c0 {1,S} {8,S} {9,S} {11,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {3,S} -9 H u0 p0 c0 {3,S} -10 X u0 p0 c0 {1,S} -11 X u0 p0 c0 {3,S} +5 X u0 p0 c0 -C2H4OX(22) -1 O u0 p2 c0 {3,S} {7,S} -2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} -3 C u0 p0 c0 {1,S} {2,S} {8,D} -4 H u0 p0 c0 {2,S} +H4N2X(32) +1 N u0 p1 c0 {2,S} {3,S} {4,S} +2 N u0 p1 c0 {1,S} {5,S} {6,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {2,S} 6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {1,S} -8 X u0 p0 c0 {3,D} +7 X u0 p0 c0 -C2H3OX(23) +CHNOX(33) 1 O u0 p2 c0 {3,D} -2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} -3 C u0 p0 c0 {1,D} {2,S} {7,S} +2 N u0 p1 c0 {3,D} {4,S} +3 C u0 p0 c0 {1,D} {2,D} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 {3,S} - -CH4N2OX(24) -1 O u0 p2 c0 {3,S} {8,S} -2 N u0 p0 c+1 {3,S} {4,S} {9,D} -3 N u0 p2 c-1 {1,S} {2,S} -4 C u0 p0 c0 {2,S} {5,S} {6,S} {7,S} -5 H u0 p0 c0 {4,S} -6 H u0 p0 c0 {4,S} -7 H u0 p0 c0 {4,S} -8 H u0 p0 c0 {1,S} -9 X u0 p0 c0 {2,D} - -CH4N2OX2(25) -1 O u0 p2 c0 {3,S} {8,S} -2 N u0 p1 c0 {3,S} {4,S} {9,S} -3 N u0 p1 c0 {1,S} {2,S} {10,S} -4 C u0 p0 c0 {2,S} {5,S} {6,S} {7,S} -5 H u0 p0 c0 {4,S} -6 H u0 p0 c0 {4,S} -7 H u0 p0 c0 {4,S} -8 H u0 p0 c0 {1,S} -9 X u0 p0 c0 {2,S} -10 X u0 p0 c0 {3,S} +5 X u0 p0 c0 -C.[Pt](26) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 H u0 p0 c0 {1,S} +C2H3X2(34) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {6,S} +2 C u0 p0 c0 {1,S} {5,S} {7,D} 3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 X u0 p0 c0 - -C3H4X(27) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {3,T} -3 C u0 p0 c0 {2,T} {7,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {3,S} -8 X u0 p0 c0 +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 {1,S} +7 X u0 p0 c0 {2,D} -C2H2X(28) -1 C u0 p0 c0 {2,T} {3,S} -2 C u0 p0 c0 {1,T} {4,S} -3 H u0 p0 c0 {1,S} +CH2OX(35) +1 O u0 p2 c0 {2,D} +2 C u0 p0 c0 {1,D} {3,S} {4,S} +3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {2,S} 5 X u0 p0 c0 -CO2X(29) -1 O u0 p2 c0 {3,D} -2 O u0 p2 c0 {3,D} -3 C u0 p0 c0 {1,D} {2,D} -4 X u0 p0 c0 - -CH4O2X(30) -1 O u0 p2 c0 {3,S} {6,S} -2 O u0 p2 c0 {3,S} {7,S} -3 C u0 p0 c0 {1,S} {2,S} {4,S} {5,S} -4 H u0 p0 c0 {3,S} -5 H u0 p0 c0 {3,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {2,S} -8 X u0 p0 c0 - -C2H5O2X(31) -1 O u0 p2 c0 {3,S} {4,S} -2 O u0 p2 c0 {3,S} {10,S} -3 C u0 p0 c0 {1,S} {2,S} {5,S} {6,S} -4 C u0 p0 c0 {1,S} {7,S} {8,S} {9,S} -5 H u0 p0 c0 {3,S} -6 H u0 p0 c0 {3,S} -7 H u0 p0 c0 {4,S} -8 H u0 p0 c0 {4,S} -9 H u0 p0 c0 {4,S} -10 X u0 p0 c0 {2,S} +CH3N2X(36) +1 N u0 p1 c0 {3,S} {4,S} {5,S} +2 N u0 p1 c0 {3,D} {6,S} +3 C u0 p0 c0 {1,S} {2,D} {7,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 {3,S} -CH2O2X2(32) -1 O u0 p2 c0 {3,S} {6,S} -2 O u0 p2 c0 {3,S} {7,S} -3 C u0 p0 c0 {1,S} {2,S} {4,S} {5,S} +CH2O2X(37) +1 O u0 p2 c0 {3,S} {5,S} +2 O u0 p2 c0 {3,D} +3 C u0 p0 c0 {1,S} {2,D} {4,S} 4 H u0 p0 c0 {3,S} -5 H u0 p0 c0 {3,S} -6 X u0 p0 c0 {1,S} -7 X u0 p0 c0 {2,S} - -H3NOX(33) -1 O u0 p2 c0 {2,S} {5,S} -2 N u0 p1 c0 {1,S} {3,S} {4,S} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {2,S} 5 H u0 p0 c0 {1,S} 6 X u0 p0 c0 -O.[Pt](34) -1 O u0 p2 c0 {2,S} {3,S} -2 H u0 p0 c0 {1,S} -3 H u0 p0 c0 {1,S} -4 X u0 p0 c0 +CH4OX(38) +1 O u0 p2 c0 {2,S} {6,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 H u0 p0 c0 {2,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {1,S} +7 X u0 p0 c0 -H2X(35) -1 H u0 p0 c0 {2,S} -2 H u0 p0 c0 {1,S} -3 X u0 p0 c0 +C2X2(39) +1 C u0 p0 c0 {2,D} {3,D} +2 C u0 p0 c0 {1,D} {4,D} +3 X u0 p0 c0 {1,D} +4 X u0 p0 c0 {2,D} -CHO2X(36) -1 O u0 p2 c0 {3,S} {5,S} -2 O u0 p2 c0 {3,D} -3 C u0 p0 c0 {1,S} {2,D} {4,S} -4 H u0 p0 c0 {3,S} +C3HX3(40) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,T} +3 C u0 p0 c0 {1,S} {7,T} +4 H u0 p0 c0 {1,S} 5 X u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,T} +7 X u0 p0 c0 {3,T} -C2H4O2X(37) -1 O u0 p2 c0 {3,S} {4,S} -2 O u0 p2 c0 {4,D} -3 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} -4 C u0 p0 c0 {1,S} {2,D} {8,S} -5 H u0 p0 c0 {3,S} -6 H u0 p0 c0 {3,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {4,S} -9 X u0 p0 c0 +C2HX2(41) +1 C u0 p0 c0 {2,D} {3,S} {4,S} +2 C u0 p0 c0 {1,D} {5,D} +3 H u0 p0 c0 {1,S} +4 X u0 p0 c0 {1,S} +5 X u0 p0 c0 {2,D} -CH2O2X(38) -1 O u0 p2 c0 {3,S} {5,S} -2 O u0 p2 c0 {3,D} -3 C u0 p0 c0 {1,S} {2,D} {4,S} -4 H u0 p0 c0 {3,S} +CH4N2X(42) +1 N u0 p1 c0 {3,S} {4,S} {5,S} +2 N u0 p1 c0 {3,S} {6,S} {7,S} +3 C u0 p0 c0 {1,S} {2,S} {8,D} +4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {1,S} -6 X u0 p0 c0 - -H2O2X(39) -1 O u0 p2 c0 {2,S} {3,S} -2 O u0 p2 c0 {1,S} {4,S} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} +8 X u0 p0 c0 {3,D} -HNOX(40) -1 O u0 p3 c-1 {2,S} -2 N u0 p0 c+1 {1,S} {3,S} {4,D} +HO2X(43) +1 O u0 p2 c0 {2,S} {4,S} +2 O u0 p2 c0 {1,S} {3,S} 3 H u0 p0 c0 {2,S} -4 X u0 p0 c0 {2,D} +4 X u0 p0 c0 {1,S} -CHNOX(41) -1 O u0 p2 c0 {3,S} {4,S} -2 N u0 p1 c0 {3,T} -3 C u0 p0 c0 {1,S} {2,T} +CH2N2X(44) +1 N u0 p1 c0 {3,D} {4,S} +2 N u0 p1 c0 {3,D} {5,S} +3 C u0 p0 c0 {1,D} {2,D} 4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 -C2H8N2X(42) +C2H8N2X(45) 1 N u0 p1 c0 {2,S} {3,S} {4,S} 2 N u0 p1 c0 {1,S} {11,S} {12,S} 3 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} @@ -419,135 +382,105 @@ C2H8N2X(42) 12 H u0 p0 c0 {2,S} 13 X u0 p0 c0 -H4N2X(43) +H2N2X(46) 1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 N u0 p1 c0 {1,S} {5,S} {6,S} +2 N u0 p1 c0 {1,S} {5,D} 3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 +5 X u0 p0 c0 {2,D} -CH4N2X(44) -1 N u0 p1 c0 {3,S} {4,S} {5,S} -2 N u0 p1 c0 {3,S} {6,S} {7,S} -3 C u0 p0 c0 {1,S} {2,S} {8,D} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 X u0 p0 c0 {3,D} +C2H5OX(47) +1 O u0 p2 c0 {2,S} {9,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {3,S} +9 X u0 p0 c0 {1,S} -CH3N2X(45) -1 N u0 p1 c0 {3,S} {4,S} {5,S} -2 N u0 p1 c0 {3,D} {6,S} -3 C u0 p0 c0 {1,S} {2,D} {7,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 {3,S} +CH2O2X2(48) +1 O u0 p2 c0 {3,S} {6,S} +2 O u0 p2 c0 {3,S} {7,S} +3 C u0 p0 c0 {1,S} {2,S} {4,S} {5,S} +4 H u0 p0 c0 {3,S} +5 H u0 p0 c0 {3,S} +6 X u0 p0 c0 {1,S} +7 X u0 p0 c0 {2,S} -[Pt].N(46) +CH2NX(49) 1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 H u0 p0 c0 {1,S} +2 C u0 p0 c0 {1,S} {5,T} 3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 - -CH2N2X(47) -1 N u0 p1 c0 {3,D} {4,S} -2 N u0 p1 c0 {3,D} {5,S} -3 C u0 p0 c0 {1,D} {2,D} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 +5 X u0 p0 c0 {2,T} -CH2N2X2(48) -1 N u0 p1 c0 {3,S} {4,S} {7,S} -2 N u0 p1 c0 {3,D} {5,S} -3 C u0 p0 c0 {1,S} {2,D} {6,S} +CHNOX2(50) +1 O u0 p2 c0 {3,S} {4,S} +2 N u0 p1 c0 {3,S} {6,D} +3 C u0 p0 c0 {1,S} {2,S} {5,D} 4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {3,S} -7 X u0 p0 c0 {1,S} +5 X u0 p0 c0 {3,D} +6 X u0 p0 c0 {2,D} -N2X(49) -1 N u0 p1 c0 {2,T} -2 N u0 p1 c0 {1,T} -3 X u0 p0 c0 +CH2NX(51) +1 N u0 p1 c0 {2,D} {5,S} +2 C u0 p0 c0 {1,D} {3,S} {4,S} +3 H u0 p0 c0 {2,S} +4 H u0 p0 c0 {2,S} +5 X u0 p0 c0 {1,S} -CH2O3X(50) -1 O u0 p2 c0 {4,S} {5,S} -2 O u0 p2 c0 {4,S} {6,S} -3 O u0 p2 c0 {4,D} -4 C u0 p0 c0 {1,S} {2,S} {3,D} +C3H4X2(52) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {8,S} +2 C u0 p0 c0 {1,S} {3,D} {9,S} +3 C u0 p0 c0 {2,D} {6,S} {7,S} +4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 - -CH3NOX(51) -1 O u0 p2 c0 {3,D} -2 N u0 p1 c0 {3,S} {5,S} {6,S} -3 C u0 p0 c0 {1,D} {2,S} {4,S} -4 H u0 p0 c0 {3,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 +6 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {3,S} +8 X u0 p0 c0 {1,S} +9 X u0 p0 c0 {2,S} -CHNOX(52) -1 O u0 p2 c0 {3,D} +CHN2X2(53) +1 N u0 p1 c0 {3,S} {6,D} 2 N u0 p1 c0 {3,D} {4,S} -3 C u0 p0 c0 {1,D} {2,D} +3 C u0 p0 c0 {1,S} {2,D} {5,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 +5 X u0 p0 c0 {3,S} +6 X u0 p0 c0 {1,D} -CH3NOX(53) -1 O u0 p2 c0 {3,S} {6,S} -2 N u0 p1 c0 {3,S} {4,S} {5,S} -3 C u0 p0 c0 {1,S} {2,S} {7,D} +C2HOX(54) +1 O u0 p2 c0 {2,D} +2 C u0 p0 c0 {1,D} {3,S} {4,S} +3 C u0 p0 c0 {2,S} {5,T} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {1,S} -7 X u0 p0 c0 {3,D} +5 X u0 p0 c0 {3,T} -CH2NOX(54) -1 O u0 p2 c0 {3,S} {4,S} -2 N u0 p1 c0 {3,D} {5,S} -3 C u0 p0 c0 {1,S} {2,D} {6,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {3,S} +CHOX(55) +1 O u0 p2 c0 {2,S} {3,S} +2 C u0 p0 c0 {1,S} {4,T} +3 H u0 p0 c0 {1,S} +4 X u0 p0 c0 {2,T} -CH2NOX2(55) -1 O u0 p2 c0 {3,S} {5,S} -2 N u0 p1 c0 {3,S} {4,S} {7,S} -3 C u0 p0 c0 {1,S} {2,S} {6,D} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {1,S} -6 X u0 p0 c0 {3,D} -7 X u0 p0 c0 {2,S} +C2OX2(56) +1 O u0 p2 c0 {2,D} +2 C u0 p0 c0 {1,D} {3,S} {4,S} +3 C u0 p0 c0 {2,S} {5,T} +4 X u0 p0 c0 {2,S} +5 X u0 p0 c0 {3,T} -C2H6N2OX(56) -1 O u0 p2 c0 {3,D} -2 N u0 p1 c0 {3,S} {4,S} {5,S} -3 N u0 p1 c0 {1,D} {2,S} -4 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S} -5 C u0 p0 c0 {2,S} {9,S} {10,S} {11,S} -6 H u0 p0 c0 {4,S} +C2H5O2X(57) +1 O u0 p2 c0 {3,S} {4,S} +2 O u0 p2 c0 {3,S} {10,S} +3 C u0 p0 c0 {1,S} {2,S} {5,S} {6,S} +4 C u0 p0 c0 {1,S} {7,S} {8,S} {9,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {3,S} 7 H u0 p0 c0 {4,S} 8 H u0 p0 c0 {4,S} -9 H u0 p0 c0 {5,S} -10 H u0 p0 c0 {5,S} -11 H u0 p0 c0 {5,S} -12 X u0 p0 c0 - -H2N2OX(57) -1 O u0 p2 c0 {3,D} -2 N u0 p1 c0 {3,S} {4,S} {5,S} -3 N u0 p1 c0 {1,D} {2,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 +9 H u0 p0 c0 {4,S} +10 X u0 p0 c0 {2,S} HNO2X(58) 1 O u0 p2 c0 {3,S} {4,S} @@ -556,141 +489,78 @@ HNO2X(58) 4 H u0 p0 c0 {1,S} 5 X u0 p0 c0 -CH2NOX(59) -1 O u0 p2 c0 {3,D} -2 N u0 p1 c0 {3,S} {4,S} {5,S} -3 C u0 p0 c0 {1,D} {2,S} {6,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {3,S} - -HN2OX(60) -1 O u0 p3 c-1 {2,S} -2 N u0 p0 c+1 {1,S} {3,D} {5,S} -3 N u0 p1 c0 {2,D} {4,S} -4 H u0 p0 c0 {3,S} -5 X u0 p0 c0 {2,S} - -C3H2X(61) -1 C u0 p0 c0 {2,D} {4,S} {5,S} -2 C u0 p0 c0 {1,D} {3,D} -3 C u0 p0 c0 {2,D} {6,D} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 X u0 p0 c0 {3,D} - -C3H5X(62) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 C u0 p0 c0 {1,S} {9,T} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 X u0 p0 c0 {3,T} - -C2H3OX(63) -1 O u0 p2 c0 {2,S} {6,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} -3 C u0 p0 c0 {2,S} {7,T} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {1,S} -7 X u0 p0 c0 {3,T} - -C3H4X2(64) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 C u0 p0 c0 {1,S} {9,T} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 X u0 p0 c0 {2,S} -9 X u0 p0 c0 {3,T} - -C3H2X2(65) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,T} -3 C u0 p0 c0 {1,S} {7,T} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,T} -7 X u0 p0 c0 {3,T} - -C2H2X(66) -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 C u0 p0 c0 {1,D} {5,D} +[Pt].N(59) +1 N u0 p1 c0 {2,S} {3,S} {4,S} +2 H u0 p0 c0 {1,S} 3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 {2,D} +5 X u0 p0 c0 -C2H3X(67) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,T} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,T} +CNX(60) +1 N u0 p1 c0 {2,T} +2 C u0 p0 c0 {1,T} {3,S} +3 X u0 p0 c0 {2,S} -C3H3X(68) -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 C u0 p0 c0 {1,D} {5,S} {6,S} -3 C u0 p0 c0 {1,S} {7,T} -4 H u0 p0 c0 {1,S} +CN[Pt](61) +1 N u0 p1 c0 {2,S} {6,S} {7,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 H u0 p0 c0 {2,S} +4 H u0 p0 c0 {2,S} 5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 {3,T} +6 H u0 p0 c0 {1,S} +7 X u0 p0 c0 {1,S} -C2HOX(69) -1 O u0 p2 c0 {2,D} -2 C u0 p0 c0 {1,D} {3,S} {4,S} -3 C u0 p0 c0 {2,S} {5,T} +CH2NOX(62) +1 O u0 p2 c0 {3,D} +2 N u0 p1 c0 {3,S} {4,S} {6,S} +3 C u0 p0 c0 {1,D} {2,S} {5,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {3,T} +5 H u0 p0 c0 {3,S} +6 X u0 p0 c0 {2,S} -C3H3X2(70) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {7,S} -2 C u0 p0 c0 {1,S} {3,D} {6,S} -3 C u0 p0 c0 {2,D} {8,D} +CH2OX(63) +1 O u0 p2 c0 {2,S} {4,S} +2 C u0 p0 c0 {1,S} {3,S} {5,D} +3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 {1,S} -8 X u0 p0 c0 {3,D} +5 X u0 p0 c0 {2,D} -C2OX(71) -1 O u0 p2 c0 {3,D} -2 C u0 p0 c0 {3,D} {4,D} -3 C u0 p0 c0 {1,D} {2,D} -4 X u0 p0 c0 {2,D} +C3H3X2(64) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {3,S} {7,D} +3 C u0 p0 c0 {2,S} {8,T} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 X u0 p0 c0 {2,D} +8 X u0 p0 c0 {3,T} -C3H7X(72) +C3H8X(65) 1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {11,S} -3 C u0 p0 c0 {1,S} {8,S} {9,S} {10,S} +2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} +3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {1,S} 6 H u0 p0 c0 {2,S} 7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {2,S} 9 H u0 p0 c0 {3,S} 10 H u0 p0 c0 {3,S} -11 X u0 p0 c0 {2,S} +11 H u0 p0 c0 {3,S} +12 X u0 p0 c0 -C2H5OX(73) -1 O u0 p2 c0 {2,S} {8,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} -3 C u0 p0 c0 {2,S} {6,S} {7,S} {9,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {3,S} +C3H5X(66) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {3,D} {9,S} +3 C u0 p0 c0 {2,D} {7,S} {8,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} 7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {1,S} -9 X u0 p0 c0 {3,S} +8 H u0 p0 c0 {3,S} +9 X u0 p0 c0 {2,S} -C3H6X2(74) +C3H6X2(67) 1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} 2 C u0 p0 c0 {1,S} {6,S} {7,S} {10,S} 3 C u0 p0 c0 {1,S} {8,S} {9,S} {11,S} @@ -703,207 +573,233 @@ C3H6X2(74) 10 X u0 p0 c0 {2,S} 11 X u0 p0 c0 {3,S} -C2H5X(75) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {8,S} -2 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} -3 H u0 p0 c0 {1,S} +C2H6OX(68) +1 O u0 p2 c0 {2,S} {3,S} +2 C u0 p0 c0 {1,S} {4,S} {5,S} {9,S} +3 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {3,S} +9 H u0 p0 c0 {2,S} +10 X u0 p0 c0 + +CH2NOX(69) +1 O u0 p2 c0 {3,S} {4,S} +2 N u0 p1 c0 {3,D} {5,S} +3 C u0 p0 c0 {1,S} {2,D} {6,S} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 X u0 p0 c0 {1,S} +6 X u0 p0 c0 {3,S} -C3H5X(76) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {9,S} -2 C u0 p0 c0 {1,S} {3,D} {6,S} -3 C u0 p0 c0 {2,D} {7,S} {8,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {3,S} -9 X u0 p0 c0 {1,S} +C3H6X2(70) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {10,S} +2 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} +3 C u0 p0 c0 {1,S} {8,S} {9,S} {11,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {3,S} +9 H u0 p0 c0 {3,S} +10 X u0 p0 c0 {1,S} +11 X u0 p0 c0 {3,S} + +CH2X(71) +1 C u0 p0 c0 {2,S} {3,S} {4,D} +2 H u0 p0 c0 {1,S} +3 H u0 p0 c0 {1,S} +4 X u0 p0 c0 {1,D} -C2H3OX(77) +C2HOX(72) 1 O u0 p2 c0 {3,D} -2 C u0 p0 c0 {3,S} {4,S} {5,S} {7,S} -3 C u0 p0 c0 {1,D} {2,S} {6,S} +2 C u0 p0 c0 {3,D} {4,S} {5,S} +3 C u0 p0 c0 {1,D} {2,D} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {3,S} -7 X u0 p0 c0 {2,S} +5 X u0 p0 c0 {2,S} -NC[Pt](78) -1 N u0 p1 c0 {2,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {7,S} -3 H u0 p0 c0 {2,S} +C3HX3(73) +1 C u0 p0 c0 {2,S} {3,S} {5,D} +2 C u0 p0 c0 {1,S} {4,S} {6,D} +3 C u0 p0 c0 {1,S} {7,T} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 X u0 p0 c0 {2,S} +5 X u0 p0 c0 {1,D} +6 X u0 p0 c0 {2,D} +7 X u0 p0 c0 {3,T} -CH3OX(79) -1 O u0 p2 c0 {2,S} {5,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {6,S} +CH3NX(74) +1 N u0 p1 c0 {2,S} {6,D} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} 3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 {1,D} -C3H4X2(80) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {8,S} -2 C u0 p0 c0 {1,S} {3,D} {9,S} -3 C u0 p0 c0 {2,D} {6,S} {7,S} +N2OX(75) +1 O u0 p2 c0 {3,D} +2 N u0 p1 c0 {3,S} {4,D} +3 N u0 p1 c0 {1,D} {2,S} +4 X u0 p0 c0 {2,D} + +CHNOX2(76) +1 O u0 p2 c0 {3,D} +2 N u0 p1 c0 {3,S} {4,S} {5,S} +3 C u0 p0 c0 {1,D} {2,S} {6,S} +4 H u0 p0 c0 {2,S} +5 X u0 p0 c0 {2,S} +6 X u0 p0 c0 {3,S} + +C3H5X(77) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {3,D} {7,S} +3 C u0 p0 c0 {2,D} {8,S} {9,S} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {3,S} -7 H u0 p0 c0 {3,S} -8 X u0 p0 c0 {1,S} -9 X u0 p0 c0 {2,S} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {3,S} +9 X u0 p0 c0 {3,S} -C2H4X2(81) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {7,S} -2 C u0 p0 c0 {1,S} {5,S} {6,S} {8,S} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {1,S} +OX(78) +1 O u0 p2 c0 {2,D} +2 X u0 p0 c0 {1,D} + +C2H3OX(79) +1 O u0 p2 c0 {3,D} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 C u0 p0 c0 {1,D} {2,S} {7,S} +4 H u0 p0 c0 {2,S} 5 H u0 p0 c0 {2,S} 6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 {1,S} -8 X u0 p0 c0 {2,S} +7 X u0 p0 c0 {3,S} -C3H5X3(82) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {9,S} -2 C u0 p0 c0 {1,S} {5,S} {6,S} {10,S} -3 C u0 p0 c0 {1,S} {7,S} {8,S} {11,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {3,S} -9 X u0 p0 c0 {1,S} -10 X u0 p0 c0 {2,S} -11 X u0 p0 c0 {3,S} +CX(80) +1 C u0 p0 c0 {2,Q} +2 X u0 p0 c0 {1,Q} -C2H3X2(83) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {6,S} -2 C u0 p0 c0 {1,S} {5,S} {7,D} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {1,S} -7 X u0 p0 c0 {2,D} +CO2X(81) +1 O u0 p2 c0 {3,D} +2 O u0 p2 c0 {3,D} +3 C u0 p0 c0 {1,D} {2,D} +4 X u0 p0 c0 -C2H3OX2(84) -1 O u0 p2 c0 {3,S} {6,S} -2 C u0 p0 c0 {3,S} {4,S} {5,S} {7,S} -3 C u0 p0 c0 {1,S} {2,S} {8,D} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {1,S} -7 X u0 p0 c0 {2,S} -8 X u0 p0 c0 {3,D} +H2X(82) +1 H u0 p0 c0 {2,S} +2 H u0 p0 c0 {1,S} +3 X u0 p0 c0 -CH3NX2(85) -1 N u0 p1 c0 {2,S} {5,S} {7,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {6,S} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,S} -7 X u0 p0 c0 {1,S} +C2H6N2OX(83) +1 O u0 p2 c0 {3,D} +2 N u0 p1 c0 {3,S} {4,S} {5,S} +3 N u0 p1 c0 {1,D} {2,S} +4 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S} +5 C u0 p0 c0 {2,S} {9,S} {10,S} {11,S} +6 H u0 p0 c0 {4,S} +7 H u0 p0 c0 {4,S} +8 H u0 p0 c0 {4,S} +9 H u0 p0 c0 {5,S} +10 H u0 p0 c0 {5,S} +11 H u0 p0 c0 {5,S} +12 X u0 p0 c0 -CH2NX2(86) -1 N u0 p1 c0 {2,S} {6,D} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {2,S} -6 X u0 p0 c0 {1,D} +O2X2(84) +1 O u0 p2 c0 {2,S} {3,S} +2 O u0 p2 c0 {1,S} {4,S} +3 X u0 p0 c0 {1,S} +4 X u0 p0 c0 {2,S} + +CH4N2OX(85) +1 O u0 p2 c0 {2,S} {8,S} +2 N u0 p0 c+1 {1,S} {3,S} {9,D} +3 N u0 p2 c-1 {2,S} {4,S} +4 C u0 p0 c0 {3,S} {5,S} {6,S} {7,S} +5 H u0 p0 c0 {4,S} +6 H u0 p0 c0 {4,S} +7 H u0 p0 c0 {4,S} +8 H u0 p0 c0 {1,S} +9 X u0 p0 c0 {2,D} -CH2OX2(87) -1 O u0 p2 c0 {2,S} {6,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +H3NOX(86) +1 O u0 p2 c0 {2,S} {5,S} +2 N u0 p1 c0 {1,S} {3,S} {4,S} 3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {2,S} -6 X u0 p0 c0 {1,S} - -CH2X(88) -1 C u0 p0 c0 {2,S} {3,S} {4,D} -2 H u0 p0 c0 {1,S} -3 H u0 p0 c0 {1,S} -4 X u0 p0 c0 {1,D} +5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 -CH3X(89) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 H u0 p0 c0 {1,S} +C2H4X2(87) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {7,S} +2 C u0 p0 c0 {1,S} {5,S} {6,S} {8,S} 3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 {1,S} - -C3H3X(90) -1 C u0 p0 c0 {3,D} {4,S} {7,S} -2 C u0 p0 c0 {3,D} {5,S} {6,S} -3 C u0 p0 c0 {1,D} {2,D} -4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {2,S} 6 H u0 p0 c0 {2,S} 7 X u0 p0 c0 {1,S} +8 X u0 p0 c0 {2,S} -C3H6X(91) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 C u0 p0 c0 {1,S} {9,S} {10,D} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {3,S} -10 X u0 p0 c0 {3,D} - -C3H5X2(92) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {9,S} -3 C u0 p0 c0 {1,S} {8,S} {10,D} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {3,S} -9 X u0 p0 c0 {2,S} -10 X u0 p0 c0 {3,D} +CH3NOX(88) +1 O u0 p2 c0 {3,D} +2 N u0 p1 c0 {3,S} {5,S} {6,S} +3 C u0 p0 c0 {1,D} {2,S} {4,S} +4 H u0 p0 c0 {3,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 -C3H4X2(93) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {8,D} -3 C u0 p0 c0 {1,S} {7,S} {9,D} +C3H3X3(89) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {7,S} +2 C u0 p0 c0 {1,S} {5,S} {8,D} +3 C u0 p0 c0 {1,S} {6,S} {9,D} 4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {3,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {3,S} +7 X u0 p0 c0 {1,S} 8 X u0 p0 c0 {2,D} 9 X u0 p0 c0 {3,D} -C3H3X2(94) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,D} -3 C u0 p0 c0 {1,S} {8,T} +CHOX2(90) +1 O u0 p2 c0 {2,S} {5,S} +2 C u0 p0 c0 {1,S} {3,S} {4,D} +3 H u0 p0 c0 {2,S} +4 X u0 p0 c0 {2,D} +5 X u0 p0 c0 {1,S} + +CHNX(91) +1 N u0 p1 c0 {2,D} {3,S} +2 C u0 p0 c0 {1,D} {4,D} +3 H u0 p0 c0 {1,S} +4 X u0 p0 c0 {2,D} + +C3H3X2(92) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {7,S} +2 C u0 p0 c0 {1,S} {3,D} {6,S} +3 C u0 p0 c0 {2,D} {8,D} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {1,S} 6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 {1,S} +8 X u0 p0 c0 {3,D} + +C3H2X3(93) +1 C u0 p0 c0 {2,S} {3,S} {6,D} +2 C u0 p0 c0 {1,S} {4,S} {7,D} +3 C u0 p0 c0 {1,S} {5,S} {8,D} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {3,S} +6 X u0 p0 c0 {1,D} 7 X u0 p0 c0 {2,D} -8 X u0 p0 c0 {3,T} +8 X u0 p0 c0 {3,D} -C2H3X(95) -1 C u0 p0 c0 {2,D} {3,S} {6,S} -2 C u0 p0 c0 {1,D} {4,S} {5,S} +C.[Pt](94) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 H u0 p0 c0 {1,S} 3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 -C2H4X(96) +C2H4X(95) 1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} 2 C u0 p0 c0 {1,S} {6,S} {7,D} 3 H u0 p0 c0 {1,S} @@ -912,28 +808,24 @@ C2H4X(96) 6 H u0 p0 c0 {2,S} 7 X u0 p0 c0 {2,D} -C3H4X(97) -1 C u0 p0 c0 {2,S} {3,D} {4,S} -2 C u0 p0 c0 {1,S} {5,S} {8,D} -3 C u0 p0 c0 {1,D} {6,S} {7,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {3,S} -7 H u0 p0 c0 {3,S} -8 X u0 p0 c0 {2,D} +CHO2X(96) +1 O u0 p2 c0 {3,S} {5,S} +2 O u0 p2 c0 {3,D} +3 C u0 p0 c0 {1,S} {2,D} {4,S} +4 H u0 p0 c0 {3,S} +5 X u0 p0 c0 {1,S} -C3H5X(98) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {3,D} {7,S} -3 C u0 p0 c0 {2,D} {8,S} {9,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {3,S} -9 X u0 p0 c0 {3,S} +C2H4OX(97) +1 O u0 p2 c0 {3,S} {7,S} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 C u0 p0 c0 {1,S} {2,S} {8,D} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {1,S} +8 X u0 p0 c0 {3,D} -C2H2OX(99) +C2H2OX(98) 1 O u0 p2 c0 {3,D} 2 C u0 p0 c0 {3,S} {4,S} {6,D} 3 C u0 p0 c0 {1,D} {2,S} {5,S} @@ -941,109 +833,45 @@ C2H2OX(99) 5 H u0 p0 c0 {3,S} 6 X u0 p0 c0 {2,D} -C3H4X2(100) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {8,S} -2 C u0 p0 c0 {1,S} {3,D} {6,S} -3 C u0 p0 c0 {2,D} {7,S} {9,S} +C3H4X2(99) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {8,S} +2 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} +3 C u0 p0 c0 {1,S} {9,T} 4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} 6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {2,S} 8 X u0 p0 c0 {1,S} -9 X u0 p0 c0 {3,S} - -C3H3X2(101) -1 C u0 p0 c0 {2,S} {3,D} {4,S} -2 C u0 p0 c0 {1,S} {5,S} {7,D} -3 C u0 p0 c0 {1,D} {6,S} {8,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {3,S} -7 X u0 p0 c0 {2,D} -8 X u0 p0 c0 {3,S} - -C3H2X2(102) -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 C u0 p0 c0 {1,D} {5,S} {6,S} -3 C u0 p0 c0 {1,S} {7,T} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {2,S} -7 X u0 p0 c0 {3,T} +9 X u0 p0 c0 {3,T} -C2H2OX2(103) -1 O u0 p2 c0 {2,S} {7,S} -2 C u0 p0 c0 {1,S} {3,D} {4,S} -3 C u0 p0 c0 {2,D} {5,S} {6,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {3,S} -6 X u0 p0 c0 {3,S} -7 X u0 p0 c0 {1,S} +CNOX(100) +1 O u0 p2 c0 {2,D} +2 N u0 p1 c0 {1,D} {3,S} +3 C u0 p0 c0 {2,S} {4,T} +4 X u0 p0 c0 {3,T} -C2HOX(104) -1 O u0 p2 c0 {3,D} -2 C u0 p0 c0 {3,D} {4,S} {5,S} -3 C u0 p0 c0 {1,D} {2,D} +CH5NX(101) +1 N u0 p1 c0 {2,S} {6,S} {7,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {2,S} - -C3H2X2(105) -1 C u0 p0 c0 {3,D} {4,S} {6,S} -2 C u0 p0 c0 {3,D} {5,S} {7,S} -3 C u0 p0 c0 {1,D} {2,D} -4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {1,S} -7 X u0 p0 c0 {2,S} - -C3HX2(106) -1 C u0 p0 c0 {2,D} {4,S} {5,S} -2 C u0 p0 c0 {1,D} {3,D} -3 C u0 p0 c0 {2,D} {6,D} -4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 {1,S} -6 X u0 p0 c0 {3,D} - -CH3NX(107) -1 N u0 p1 c0 {2,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {3,S} {6,D} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,D} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {1,S} +8 X u0 p0 c0 -CH2NX(108) +HN2X(102) 1 N u0 p1 c0 {2,D} {4,S} -2 C u0 p0 c0 {1,D} {3,S} {5,S} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 {2,S} - -CH2OX(109) -1 O u0 p2 c0 {2,S} {4,S} -2 C u0 p0 c0 {1,S} {3,S} {5,D} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 {2,D} - -CHOX(110) -1 O u0 p2 c0 {2,D} -2 C u0 p0 c0 {1,D} {3,S} {4,S} +2 N u0 p1 c0 {1,D} {3,S} 3 H u0 p0 c0 {2,S} -4 X u0 p0 c0 {2,S} +4 X u0 p0 c0 {1,S} -C3H4X2(111) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {3,D} {8,S} -3 C u0 p0 c0 {2,D} {7,S} {9,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {3,S} -8 X u0 p0 c0 {2,S} -9 X u0 p0 c0 {3,S} +N2X(103) +1 N u0 p0 c+1 {2,D} {3,D} +2 N u0 p2 c-1 {1,D} +3 X u0 p0 c0 {1,D} -C3H5X2(112) +C3H5X2(104) 1 C u0 p0 c0 {2,S} {3,S} {4,S} {9,S} 2 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} 3 C u0 p0 c0 {1,S} {8,S} {10,D} @@ -1055,129 +883,103 @@ C3H5X2(112) 9 X u0 p0 c0 {1,S} 10 X u0 p0 c0 {3,D} -C3H3X3(113) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {7,S} -2 C u0 p0 c0 {1,S} {5,S} {8,D} -3 C u0 p0 c0 {1,S} {6,S} {9,D} +C2H3OX(105) +1 O u0 p2 c0 {2,S} {7,S} +2 C u0 p0 c0 {1,S} {3,D} {4,S} +3 C u0 p0 c0 {2,D} {5,S} {6,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {3,S} +7 X u0 p0 c0 {1,S} + +CH2N2X3(106) +1 N u0 p1 c0 {3,S} {4,S} {7,S} +2 N u0 p1 c0 {3,S} {5,S} {8,S} +3 C u0 p0 c0 {1,S} {2,S} {6,D} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {3,S} +6 X u0 p0 c0 {3,D} 7 X u0 p0 c0 {1,S} -8 X u0 p0 c0 {2,D} -9 X u0 p0 c0 {3,D} +8 X u0 p0 c0 {2,S} + +C3H5X(107) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {9,S} +2 C u0 p0 c0 {1,S} {3,D} {6,S} +3 C u0 p0 c0 {2,D} {7,S} {8,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {3,S} +9 X u0 p0 c0 {1,S} -C2H2X2(114) -1 C u0 p0 c0 {2,S} {3,S} {5,D} -2 C u0 p0 c0 {1,S} {4,S} {6,D} -3 H u0 p0 c0 {1,S} +CHNOX2(108) +1 O u0 p2 c0 {3,S} {6,S} +2 N u0 p1 c0 {3,D} {4,S} +3 C u0 p0 c0 {1,S} {2,D} {5,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {1,D} -6 X u0 p0 c0 {2,D} +5 X u0 p0 c0 {3,S} +6 X u0 p0 c0 {1,S} -C2HOX2(115) +CH2NOX(109) 1 O u0 p2 c0 {3,D} -2 C u0 p0 c0 {3,S} {4,S} {5,D} +2 N u0 p1 c0 {3,S} {4,S} {5,S} 3 C u0 p0 c0 {1,D} {2,S} {6,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {2,D} +5 H u0 p0 c0 {2,S} 6 X u0 p0 c0 {3,S} -C3H2X3(116) -1 C u0 p0 c0 {2,S} {3,S} {6,D} -2 C u0 p0 c0 {1,S} {4,S} {7,D} -3 C u0 p0 c0 {1,S} {5,S} {8,D} -4 H u0 p0 c0 {2,S} +C2H4O2X(110) +1 O u0 p2 c0 {3,S} {4,S} +2 O u0 p2 c0 {4,D} +3 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} +4 C u0 p0 c0 {1,S} {2,D} {8,S} 5 H u0 p0 c0 {3,S} -6 X u0 p0 c0 {1,D} -7 X u0 p0 c0 {2,D} -8 X u0 p0 c0 {3,D} - -C3HX3(117) -1 C u0 p0 c0 {2,S} {3,S} {5,D} -2 C u0 p0 c0 {1,S} {4,S} {6,D} -3 C u0 p0 c0 {1,S} {7,T} -4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {1,D} -6 X u0 p0 c0 {2,D} -7 X u0 p0 c0 {3,T} - -C2HX2(118) -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 C u0 p0 c0 {1,D} {5,D} -3 H u0 p0 c0 {1,S} -4 X u0 p0 c0 {1,S} -5 X u0 p0 c0 {2,D} - -CH2NX2(119) -1 N u0 p1 c0 {2,S} {4,S} {6,S} -2 C u0 p0 c0 {1,S} {3,S} {5,D} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 {2,D} -6 X u0 p0 c0 {1,S} +6 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {4,S} +9 X u0 p0 c0 -CHNX2(120) -1 N u0 p1 c0 {2,S} {5,D} -2 C u0 p0 c0 {1,S} {3,S} {4,D} -3 H u0 p0 c0 {2,S} -4 X u0 p0 c0 {2,D} -5 X u0 p0 c0 {1,D} +CH4N2OX2(111) +1 O u0 p2 c0 {3,S} {8,S} +2 N u0 p1 c0 {3,S} {4,S} {9,S} +3 N u0 p1 c0 {1,S} {2,S} {10,S} +4 C u0 p0 c0 {2,S} {5,S} {6,S} {7,S} +5 H u0 p0 c0 {4,S} +6 H u0 p0 c0 {4,S} +7 H u0 p0 c0 {4,S} +8 H u0 p0 c0 {1,S} +9 X u0 p0 c0 {2,S} +10 X u0 p0 c0 {3,S} -CHOX2(121) +H2NOX(112) 1 O u0 p2 c0 {2,S} {5,S} -2 C u0 p0 c0 {1,S} {3,S} {4,D} +2 N u0 p1 c0 {1,S} {3,S} {4,S} 3 H u0 p0 c0 {2,S} -4 X u0 p0 c0 {2,D} +4 H u0 p0 c0 {2,S} 5 X u0 p0 c0 {1,S} -CHX(122) -1 C u0 p0 c0 {2,S} {3,T} -2 H u0 p0 c0 {1,S} -3 X u0 p0 c0 {1,T} - -CH2NX(123) -1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 C u0 p0 c0 {1,S} {5,T} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 {2,T} - -CHNX(124) -1 N u0 p1 c0 {2,D} {3,S} -2 C u0 p0 c0 {1,D} {4,D} -3 H u0 p0 c0 {1,S} -4 X u0 p0 c0 {2,D} - -CNOX(125) -1 O u0 p2 c0 {2,D} -2 N u0 p1 c0 {1,D} {3,S} -3 C u0 p0 c0 {2,S} {4,T} -4 X u0 p0 c0 {3,T} +HN2OX(113) +1 O u0 p3 c-1 {2,S} +2 N u0 p0 c+1 {1,S} {3,D} {5,S} +3 N u0 p1 c0 {2,D} {4,S} +4 H u0 p0 c0 {3,S} +5 X u0 p0 c0 {2,S} -CNX(126) -1 N u0 p1 c0 {2,T} -2 C u0 p0 c0 {1,T} {3,S} -3 X u0 p0 c0 {2,S} +CNOX(114) +1 O u0 p2 c0 {3,D} +2 N u0 p1 c0 {3,D} {4,S} +3 C u0 p0 c0 {1,D} {2,D} +4 X u0 p0 c0 {2,S} -CHOX(127) -1 O u0 p2 c0 {2,S} {3,S} -2 C u0 p0 c0 {1,S} {4,T} +C2H2X(115) +1 C u0 p0 c0 {2,D} {3,S} {4,S} +2 C u0 p0 c0 {1,D} {5,D} 3 H u0 p0 c0 {1,S} -4 X u0 p0 c0 {2,T} - -CHO2X(128) -1 O u0 p2 c0 {3,S} {4,S} -2 O u0 p2 c0 {3,D} -3 C u0 p0 c0 {1,S} {2,D} {5,S} 4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 {3,S} - -COX(129) -1 O u0 p2 c0 {2,D} -2 C u0 p0 c0 {1,D} {3,D} -3 X u0 p0 c0 {2,D} +5 X u0 p0 c0 {2,D} -C3H2X2(130) +C3H2X2(116) 1 C u0 p0 c0 {2,D} {3,S} {6,S} 2 C u0 p0 c0 {1,D} {4,S} {5,S} 3 C u0 p0 c0 {1,S} {7,T} @@ -1186,245 +988,495 @@ C3H2X2(130) 6 X u0 p0 c0 {1,S} 7 X u0 p0 c0 {3,T} -C3H3X2(131) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {3,S} {7,D} -3 C u0 p0 c0 {2,S} {8,T} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 X u0 p0 c0 {2,D} -8 X u0 p0 c0 {3,T} +C2H3OX(117) +1 O u0 p2 c0 {3,D} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {7,S} +3 C u0 p0 c0 {1,D} {2,S} {6,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {3,S} +7 X u0 p0 c0 {2,S} -C2H2X2(132) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,T} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {1,S} +NOX(118) +1 O u0 p2 c0 {2,D} +2 N u0 p1 c0 {1,D} {3,S} +3 X u0 p0 c0 {2,S} + +C2H6O2X(119) +1 O u0 p2 c0 {3,S} {4,S} +2 O u0 p2 c0 {3,S} {10,S} +3 C u0 p0 c0 {1,S} {2,S} {5,S} {6,S} +4 C u0 p0 c0 {1,S} {7,S} {8,S} {9,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {4,S} +8 H u0 p0 c0 {4,S} +9 H u0 p0 c0 {4,S} +10 H u0 p0 c0 {2,S} +11 X u0 p0 c0 + +CO3X2(120) +1 O u0 p2 c0 {4,S} {5,S} +2 O u0 p2 c0 {4,S} {6,S} +3 O u0 p2 c0 {4,D} +4 C u0 p0 c0 {1,S} {2,S} {3,D} 5 X u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,T} +6 X u0 p0 c0 {2,S} + +C2H2OX(121) +1 O u0 p2 c0 {3,D} +2 C u0 p0 c0 {3,D} {4,S} {5,S} +3 C u0 p0 c0 {1,D} {2,D} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 + +HOX(122) +1 O u0 p2 c0 {2,S} {3,S} +2 H u0 p0 c0 {1,S} +3 X u0 p0 c0 {1,S} -C3H4X2(133) +C2H5X(123) 1 C u0 p0 c0 {2,S} {3,S} {4,S} {8,S} 2 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} -3 C u0 p0 c0 {1,S} {9,T} +3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {2,S} 6 H u0 p0 c0 {2,S} 7 H u0 p0 c0 {2,S} 8 X u0 p0 c0 {1,S} -9 X u0 p0 c0 {3,T} -C3HX3(134) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,T} -3 C u0 p0 c0 {1,S} {7,T} -4 H u0 p0 c0 {1,S} +CH4NX(124) +1 N u0 p1 c0 {2,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {7,S} +3 H u0 p0 c0 {2,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 X u0 p0 c0 {2,S} + +NO2X2(125) +1 O u0 p2 c0 {3,S} {5,S} +2 O u0 p3 c-1 {3,S} +3 N u0 p0 c+1 {1,S} {2,S} {4,D} +4 X u0 p0 c0 {3,D} 5 X u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,T} -7 X u0 p0 c0 {3,T} -C2OX2(135) -1 O u0 p2 c0 {2,D} -2 C u0 p0 c0 {1,D} {3,S} {4,S} -3 C u0 p0 c0 {2,S} {5,T} -4 X u0 p0 c0 {2,S} -5 X u0 p0 c0 {3,T} +C2H4OX(126) +1 O u0 p2 c0 {3,D} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 C u0 p0 c0 {1,D} {2,S} {7,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {3,S} +8 X u0 p0 c0 -C2X2(136) -1 C u0 p0 c0 {2,D} {3,D} -2 C u0 p0 c0 {1,D} {4,D} -3 X u0 p0 c0 {1,D} +N2OX2(127) +1 O u0 p3 c-1 {2,S} +2 N u0 p0 c+1 {1,S} {3,S} {4,D} +3 N u0 p1 c0 {2,S} {5,D} 4 X u0 p0 c0 {2,D} +5 X u0 p0 c0 {3,D} -CX(137) -1 C u0 p0 c0 {2,Q} -2 X u0 p0 c0 {1,Q} - -[PtH](138) -1 H u0 p0 c0 {2,S} -2 X u0 p0 c0 {1,S} +C2H6OX(128) +1 O u0 p2 c0 {2,S} {9,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {3,S} +9 H u0 p0 c0 {1,S} +10 X u0 p0 c0 -CH2NX(139) -1 N u0 p1 c0 {2,D} {5,S} -2 C u0 p0 c0 {1,D} {3,S} {4,S} -3 H u0 p0 c0 {2,S} +CHN2X(129) +1 N u0 p1 c0 {3,D} {5,S} +2 N u0 p1 c0 {3,D} {4,S} +3 C u0 p0 c0 {1,D} {2,D} 4 H u0 p0 c0 {2,S} 5 X u0 p0 c0 {1,S} -CH3NX(140) -1 N u0 p1 c0 {2,S} {6,D} +CH3N2X(130) +1 N u0 p1 c0 {2,D} {3,S} +2 N u0 p1 c0 {1,D} {7,S} +3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S} +4 H u0 p0 c0 {3,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {3,S} +7 X u0 p0 c0 {2,S} + +CH3OX(131) +1 O u0 p2 c0 {2,S} {6,S} 2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} 3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {1,D} +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 {1,S} + +C2H5OX(132) +1 O u0 p2 c0 {2,S} {8,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {9,S} +3 C u0 p0 c0 {2,S} {5,S} {6,S} {7,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {1,S} +9 X u0 p0 c0 {2,S} + +CH3NX2(133) +1 N u0 p1 c0 {2,S} {5,S} {7,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {6,S} +3 H u0 p0 c0 {2,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,S} +7 X u0 p0 c0 {1,S} -CHN2X(141) -1 N u0 p1 c0 {3,D} {5,S} -2 N u0 p1 c0 {3,D} {4,S} -3 C u0 p0 c0 {1,D} {2,D} +CH4N2OX(134) +1 O u0 p2 c0 {3,S} {8,S} +2 N u0 p0 c+1 {3,S} {4,S} {9,D} +3 N u0 p2 c-1 {1,S} {2,S} +4 C u0 p0 c0 {2,S} {5,S} {6,S} {7,S} +5 H u0 p0 c0 {4,S} +6 H u0 p0 c0 {4,S} +7 H u0 p0 c0 {4,S} +8 H u0 p0 c0 {1,S} +9 X u0 p0 c0 {2,D} + +H2N2X2(135) +1 N u0 p1 c0 {2,S} {3,S} {5,S} +2 N u0 p1 c0 {1,S} {4,S} {6,S} +3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {2,S} 5 X u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,S} -CN2X(142) -1 N u0 p1 c0 {3,S} {4,D} -2 N u0 p1 c0 {3,T} -3 C u0 p0 c0 {1,S} {2,T} -4 X u0 p0 c0 {1,D} +C3H5OX(136) +1 O u0 p2 c0 {4,D} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 C u0 p0 c0 {2,S} {7,S} {8,S} {9,S} +4 C u0 p0 c0 {1,D} {2,S} {10,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {3,S} +9 H u0 p0 c0 {3,S} +10 X u0 p0 c0 {4,S} -CNOX(143) -1 O u0 p2 c0 {3,D} -2 N u0 p1 c0 {3,D} {4,S} -3 C u0 p0 c0 {1,D} {2,D} -4 X u0 p0 c0 {2,S} +C3H4X2(137) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,S} {8,D} +3 C u0 p0 c0 {1,S} {7,S} {9,D} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {3,S} +8 X u0 p0 c0 {2,D} +9 X u0 p0 c0 {3,D} + +CH2O3X(138) +1 O u0 p2 c0 {4,S} {5,S} +2 O u0 p2 c0 {4,S} {6,S} +3 O u0 p2 c0 {4,D} +4 C u0 p0 c0 {1,S} {2,S} {3,D} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 -N[Pt](144) +HN2X2(139) 1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 H u0 p0 c0 {1,S} +2 N u0 p1 c0 {1,S} {5,D} 3 H u0 p0 c0 {1,S} 4 X u0 p0 c0 {1,S} +5 X u0 p0 c0 {2,D} -CH4NX(145) -1 N u0 p1 c0 {2,S} {6,S} {7,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {1,S} -7 X u0 p0 c0 {1,S} - -CH2NOX(146) +C2H2OX2(140) 1 O u0 p2 c0 {3,D} -2 N u0 p1 c0 {3,S} {4,S} {6,S} -3 C u0 p0 c0 {1,D} {2,S} {5,S} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 C u0 p0 c0 {1,D} {2,S} {7,S} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {3,S} +5 H u0 p0 c0 {2,S} 6 X u0 p0 c0 {2,S} +7 X u0 p0 c0 {3,S} -H3N2X(147) -1 N u0 p1 c0 {2,S} {3,S} {6,S} -2 N u0 p1 c0 {1,S} {4,S} {5,S} -3 H u0 p0 c0 {1,S} +C2H3OX(141) +1 O u0 p2 c0 {2,S} {6,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 C u0 p0 c0 {2,S} {7,T} 4 H u0 p0 c0 {2,S} 5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {1,S} - -HN2OX(148) -1 O u0 p2 c0 {3,D} -2 N u0 p1 c0 {3,S} {4,S} {5,S} -3 N u0 p1 c0 {1,D} {2,S} -4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {2,S} +6 H u0 p0 c0 {1,S} +7 X u0 p0 c0 {3,T} -H2NOX(149) +H2NOX(142) 1 O u0 p2 c0 {2,S} {4,S} 2 N u0 p1 c0 {1,S} {3,S} {5,S} 3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {1,S} 5 X u0 p0 c0 {2,S} -CHNOX2(150) +C3H2X2(143) +1 C u0 p0 c0 {2,D} {3,S} {4,S} +2 C u0 p0 c0 {1,D} {5,S} {6,S} +3 C u0 p0 c0 {1,S} {7,T} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 {2,S} +7 X u0 p0 c0 {3,T} + +C2HOX2(144) 1 O u0 p2 c0 {3,D} -2 N u0 p1 c0 {3,S} {4,S} {5,S} +2 C u0 p0 c0 {3,S} {4,S} {5,D} 3 C u0 p0 c0 {1,D} {2,S} {6,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {2,S} +5 X u0 p0 c0 {2,D} 6 X u0 p0 c0 {3,S} -CH2N2X3(151) -1 N u0 p1 c0 {3,S} {4,S} {7,S} -2 N u0 p1 c0 {3,S} {5,S} {8,S} -3 C u0 p0 c0 {1,S} {2,S} {6,D} +N2OX(145) +1 O u0 p2 c0 {2,D} +2 N u0 p0 c+1 {1,D} {3,D} +3 N u0 p2 c-1 {2,D} +4 X u0 p0 c0 + +C3H4X2(146) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {8,S} +2 C u0 p0 c0 {1,S} {3,D} {6,S} +3 C u0 p0 c0 {2,D} {7,S} {9,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {3,S} +8 X u0 p0 c0 {1,S} +9 X u0 p0 c0 {3,S} + +C3H3X2(147) +1 C u0 p0 c0 {2,S} {3,D} {4,S} +2 C u0 p0 c0 {1,S} {5,S} {7,D} +3 C u0 p0 c0 {1,D} {6,S} {8,S} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {3,D} -7 X u0 p0 c0 {1,S} -8 X u0 p0 c0 {2,S} +6 H u0 p0 c0 {3,S} +7 X u0 p0 c0 {2,D} +8 X u0 p0 c0 {3,S} -H2N2X2(152) -1 N u0 p1 c0 {2,S} {3,S} {5,S} -2 N u0 p1 c0 {1,S} {4,S} {6,S} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {2,S} +C2H3OX(148) +1 O u0 p2 c0 {2,S} {6,S} +2 C u0 p0 c0 {1,S} {3,D} {7,S} +3 C u0 p0 c0 {2,D} {4,S} {5,S} +4 H u0 p0 c0 {3,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {1,S} +7 X u0 p0 c0 {2,S} + +CHO2X(149) +1 O u0 p2 c0 {3,S} {4,S} +2 O u0 p2 c0 {3,D} +3 C u0 p0 c0 {1,S} {2,D} {5,S} +4 H u0 p0 c0 {1,S} +5 X u0 p0 c0 {3,S} + +HNOX2(150) +1 O u0 p2 c0 {2,S} {5,S} +2 N u0 p1 c0 {1,S} {3,S} {4,S} +3 H u0 p0 c0 {2,S} +4 X u0 p0 c0 {2,S} 5 X u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,S} -HN2X2(153) -1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 N u0 p1 c0 {1,S} {5,D} -3 H u0 p0 c0 {1,S} -4 X u0 p0 c0 {1,S} -5 X u0 p0 c0 {2,D} +C3H5X2(151) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,S} {7,S} {9,S} +3 C u0 p0 c0 {1,S} {8,S} {10,D} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {3,S} +9 X u0 p0 c0 {2,S} +10 X u0 p0 c0 {3,D} -HNX(154) -1 N u0 p1 c0 {2,S} {3,D} +C3H4X2(152) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} +3 C u0 p0 c0 {1,S} {9,T} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} +8 X u0 p0 c0 {2,S} +9 X u0 p0 c0 {3,T} + +C3H6X(153) +1 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +2 C u0 p0 c0 {3,S} {7,S} {8,S} {9,S} +3 C u0 p0 c0 {1,S} {2,S} {10,D} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {2,S} +9 H u0 p0 c0 {2,S} +10 X u0 p0 c0 {3,D} + +H2OX(154) +1 O u0 p2 c0 {2,S} {3,S} 2 H u0 p0 c0 {1,S} -3 X u0 p0 c0 {1,D} +3 H u0 p0 c0 {1,S} +4 X u0 p0 c0 -CH3N2X(155) -1 N u0 p1 c0 {2,D} {3,S} -2 N u0 p1 c0 {1,D} {7,S} -3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S} +CN2X(155) +1 N u0 p1 c0 {3,S} {4,D} +2 N u0 p1 c0 {3,T} +3 C u0 p0 c0 {1,S} {2,T} +4 X u0 p0 c0 {1,D} + +C3H3X(156) +1 C u0 p0 c0 {3,D} {4,S} {7,S} +2 C u0 p0 c0 {3,D} {5,S} {6,S} +3 C u0 p0 c0 {1,D} {2,D} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 {1,S} + +CH3NX(157) +1 N u0 p1 c0 {2,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {3,S} {6,D} +3 H u0 p0 c0 {2,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,D} + +CH3O2X(158) +1 O u0 p2 c0 {3,S} {7,S} +2 O u0 p2 c0 {3,S} {6,S} +3 C u0 p0 c0 {1,S} {2,S} {4,S} {5,S} 4 H u0 p0 c0 {3,S} 5 H u0 p0 c0 {3,S} -6 H u0 p0 c0 {3,S} -7 X u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 {1,S} -H2N2X(156) -1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 N u0 p1 c0 {1,S} {5,D} +C3H3X2(159) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,S} {7,D} +3 C u0 p0 c0 {1,S} {8,T} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 {2,D} +8 X u0 p0 c0 {3,T} + +CHNOX(160) +1 O u0 p2 c0 {3,S} {4,S} +2 N u0 p1 c0 {3,T} +3 C u0 p0 c0 {1,S} {2,T} +4 H u0 p0 c0 {1,S} +5 X u0 p0 c0 + +CH3OX(161) +1 O u0 p2 c0 {2,S} {5,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {6,S} +3 H u0 p0 c0 {2,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,S} + +C3H2X2(162) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,T} +3 C u0 p0 c0 {1,S} {7,T} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,T} +7 X u0 p0 c0 {3,T} + +HNOX(163) +1 O u0 p2 c0 {2,S} {3,S} +2 N u0 p1 c0 {1,S} {4,D} 3 H u0 p0 c0 {1,S} +4 X u0 p0 c0 {2,D} + +CH2NX2(164) +1 N u0 p1 c0 {2,S} {4,S} {6,S} +2 C u0 p0 c0 {1,S} {3,S} {5,D} +3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {1,S} 5 X u0 p0 c0 {2,D} +6 X u0 p0 c0 {1,S} -HN2X(157) -1 N u0 p1 c0 {2,D} {4,S} -2 N u0 p1 c0 {1,D} {3,S} -3 H u0 p0 c0 {2,S} -4 X u0 p0 c0 {1,S} +C3H5X(165) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} +3 C u0 p0 c0 {1,S} {9,T} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {2,S} +9 X u0 p0 c0 {3,T} -NO2X(158) -1 O u0 p3 c-1 {3,S} -2 O u0 p2 c0 {3,D} -3 N u0 p0 c+1 {1,S} {2,D} {4,S} -4 X u0 p0 c0 {3,S} +NX(166) +1 N u0 p1 c0 {2,T} +2 X u0 p0 c0 {1,T} -HNOX(159) -1 O u0 p2 c0 {2,S} {3,S} -2 N u0 p1 c0 {1,S} {4,D} +CH3X(167) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 H u0 p0 c0 {1,S} 3 H u0 p0 c0 {1,S} -4 X u0 p0 c0 {2,D} - -NOX(160) -1 O u0 p2 c0 {2,D} -2 N u0 p1 c0 {1,D} {3,S} -3 X u0 p0 c0 {2,S} +4 H u0 p0 c0 {1,S} +5 X u0 p0 c0 {1,S} -CHN2X2(161) -1 N u0 p1 c0 {3,S} {6,D} -2 N u0 p1 c0 {3,D} {4,S} -3 C u0 p0 c0 {1,S} {2,D} {5,S} +H2N2OX(168) +1 O u0 p2 c0 {3,D} +2 N u0 p1 c0 {3,S} {4,S} {5,S} +3 N u0 p1 c0 {1,D} {2,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {3,S} -6 X u0 p0 c0 {1,D} +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 -CHNOX2(162) -1 O u0 p2 c0 {3,S} {4,S} -2 N u0 p1 c0 {3,S} {6,D} -3 C u0 p0 c0 {1,S} {2,S} {5,D} -4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 {3,D} -6 X u0 p0 c0 {2,D} +[PtH](169) +1 H u0 p0 c0 {2,S} +2 X u0 p0 c0 {1,S} -CNOX2(163) +HN2OX(170) 1 O u0 p2 c0 {3,D} -2 N u0 p1 c0 {3,S} {5,D} -3 C u0 p0 c0 {1,D} {2,S} {4,S} -4 X u0 p0 c0 {3,S} -5 X u0 p0 c0 {2,D} +2 N u0 p1 c0 {3,S} {4,S} {5,S} +3 N u0 p1 c0 {1,D} {2,S} +4 H u0 p0 c0 {2,S} +5 X u0 p0 c0 {2,S} + +C2OX(171) +1 O u0 p2 c0 {3,D} +2 C u0 p0 c0 {3,D} {4,D} +3 C u0 p0 c0 {1,D} {2,D} +4 X u0 p0 c0 {2,D} + +C3H5X3(172) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {9,S} +2 C u0 p0 c0 {1,S} {5,S} {6,S} {10,S} +3 C u0 p0 c0 {1,S} {7,S} {8,S} {11,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {3,S} +9 X u0 p0 c0 {1,S} +10 X u0 p0 c0 {2,S} +11 X u0 p0 c0 {3,S} -CHN2X3(164) +HNX(173) +1 N u0 p1 c0 {2,S} {3,D} +2 H u0 p0 c0 {1,S} +3 X u0 p0 c0 {1,D} + +N2X(174) +1 N u0 p1 c0 {2,T} +2 N u0 p1 c0 {1,T} +3 X u0 p0 c0 + +CHN2X3(175) 1 N u0 p1 c0 {3,S} {4,S} {6,S} 2 N u0 p1 c0 {3,S} {7,D} 3 C u0 p0 c0 {1,S} {2,S} {5,D} @@ -1433,129 +1485,113 @@ CHN2X3(164) 6 X u0 p0 c0 {1,S} 7 X u0 p0 c0 {2,D} -CH3N2X2(165) -1 N u0 p1 c0 {2,S} {3,S} {7,S} -2 N u0 p1 c0 {1,S} {8,D} -3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S} -4 H u0 p0 c0 {3,S} -5 H u0 p0 c0 {3,S} -6 H u0 p0 c0 {3,S} -7 X u0 p0 c0 {1,S} -8 X u0 p0 c0 {2,D} - -NX(166) -1 N u0 p1 c0 {2,T} -2 X u0 p0 c0 {1,T} - -CO3X2(167) -1 O u0 p2 c0 {4,S} {5,S} -2 O u0 p2 c0 {4,S} {6,S} -3 O u0 p2 c0 {4,D} -4 C u0 p0 c0 {1,S} {2,S} {3,D} -5 X u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,S} +C2H2X2(176) +1 C u0 p0 c0 {2,S} {3,S} {5,D} +2 C u0 p0 c0 {1,S} {4,S} {6,D} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {2,S} +5 X u0 p0 c0 {1,D} +6 X u0 p0 c0 {2,D} -CHO3X(168) -1 O u0 p2 c0 {4,S} {6,S} -2 O u0 p2 c0 {4,S} {5,S} -3 O u0 p2 c0 {4,D} -4 C u0 p0 c0 {1,S} {2,S} {3,D} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {1,S} +C3H7X(177) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {11,S} +2 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} +3 C u0 p0 c0 {1,S} {8,S} {9,S} {10,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {3,S} +9 H u0 p0 c0 {3,S} +10 H u0 p0 c0 {3,S} +11 X u0 p0 c0 {1,S} -C2H5OX(169) -1 O u0 p2 c0 {2,S} {9,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} -3 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S} -4 H u0 p0 c0 {2,S} +C3H4X(178) +1 C u0 p0 c0 {2,S} {3,D} {4,S} +2 C u0 p0 c0 {1,S} {5,S} {8,D} +3 C u0 p0 c0 {1,D} {6,S} {7,S} +4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {2,S} 6 H u0 p0 c0 {3,S} 7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {3,S} -9 X u0 p0 c0 {1,S} - -CH3O2X(170) -1 O u0 p2 c0 {3,S} {7,S} -2 O u0 p2 c0 {3,S} {6,S} -3 C u0 p0 c0 {1,S} {2,S} {4,S} {5,S} -4 H u0 p0 c0 {3,S} -5 H u0 p0 c0 {3,S} -6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 {1,S} +8 X u0 p0 c0 {2,D} -CH3OX(171) -1 O u0 p2 c0 {2,S} {6,S} +CH2NX2(179) +1 N u0 p1 c0 {2,S} {6,D} 2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} 3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {1,S} - -C2H3OX(172) -1 O u0 p2 c0 {2,S} {7,S} -2 C u0 p0 c0 {1,S} {3,D} {4,S} -3 C u0 p0 c0 {2,D} {5,S} {6,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {3,S} -6 H u0 p0 c0 {3,S} -7 X u0 p0 c0 {1,S} +5 X u0 p0 c0 {2,S} +6 X u0 p0 c0 {1,D} -HOX(173) -1 O u0 p2 c0 {2,S} {3,S} -2 H u0 p0 c0 {1,S} -3 X u0 p0 c0 {1,S} +C3H2X(180) +1 C u0 p0 c0 {2,D} {4,S} {5,S} +2 C u0 p0 c0 {1,D} {3,D} +3 C u0 p0 c0 {2,D} {6,D} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 {3,D} -H2NOX(174) -1 O u0 p2 c0 {2,S} {5,S} -2 N u0 p1 c0 {1,S} {3,S} {4,S} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {2,S} +C3HX2(181) +1 C u0 p0 c0 {2,D} {4,S} {5,S} +2 C u0 p0 c0 {1,D} {3,D} +3 C u0 p0 c0 {2,D} {6,D} +4 H u0 p0 c0 {1,S} 5 X u0 p0 c0 {1,S} +6 X u0 p0 c0 {3,D} -HO2X(175) -1 O u0 p2 c0 {2,S} {4,S} -2 O u0 p2 c0 {1,S} {3,S} -3 H u0 p0 c0 {2,S} -4 X u0 p0 c0 {1,S} +C3H4X2(182) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {3,D} {8,S} +3 C u0 p0 c0 {2,D} {7,S} {9,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {3,S} +8 X u0 p0 c0 {2,S} +9 X u0 p0 c0 {3,S} -CHNOX2(176) -1 O u0 p2 c0 {3,S} {6,S} -2 N u0 p1 c0 {3,D} {4,S} -3 C u0 p0 c0 {1,S} {2,D} {5,S} +C3H6X(183) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {3,D} {7,S} +3 C u0 p0 c0 {2,D} {8,S} {9,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {3,S} +9 H u0 p0 c0 {3,S} +10 X u0 p0 c0 + +H3N2X(184) +1 N u0 p1 c0 {2,S} {3,S} {6,S} +2 N u0 p1 c0 {1,S} {4,S} {5,S} +3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {3,S} +5 H u0 p0 c0 {2,S} 6 X u0 p0 c0 {1,S} -HNOX2(177) -1 O u0 p2 c0 {2,S} {5,S} -2 N u0 p1 c0 {1,S} {3,S} {4,S} -3 H u0 p0 c0 {2,S} -4 X u0 p0 c0 {2,S} -5 X u0 p0 c0 {1,S} - -NO2X2(178) -1 O u0 p2 c0 {3,S} {5,S} -2 O u0 p3 c-1 {3,S} -3 N u0 p0 c+1 {1,S} {2,S} {4,D} -4 X u0 p0 c0 {3,D} -5 X u0 p0 c0 {1,S} - -NO3X3(179) -1 O u0 p2 c0 {4,S} {5,S} -2 O u0 p2 c0 {4,S} {6,S} -3 O u0 p2 c0 {4,S} {7,S} -4 N u0 p1 c0 {1,S} {2,S} {3,S} -5 X u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,S} -7 X u0 p0 c0 {3,S} +C3H2X2(185) +1 C u0 p0 c0 {3,D} {4,S} {6,S} +2 C u0 p0 c0 {3,D} {5,S} {7,S} +3 C u0 p0 c0 {1,D} {2,D} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 {1,S} +7 X u0 p0 c0 {2,S} -O2X2(180) -1 O u0 p2 c0 {2,S} {3,S} -2 O u0 p2 c0 {1,S} {4,S} -3 X u0 p0 c0 {1,S} -4 X u0 p0 c0 {2,S} +NO2X(186) +1 O u0 p3 c-1 {3,S} +2 O u0 p2 c0 {3,D} +3 N u0 p0 c+1 {1,S} {2,D} {4,S} +4 X u0 p0 c0 {3,S} -OX(181) -1 O u0 p2 c0 {2,D} -2 X u0 p0 c0 {1,D} +C2H2OX2(187) +1 O u0 p2 c0 {2,S} {7,S} +2 C u0 p0 c0 {1,S} {3,D} {4,S} +3 C u0 p0 c0 {2,D} {5,S} {6,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {3,S} +6 X u0 p0 c0 {3,S} +7 X u0 p0 c0 {1,S} diff --git a/input/thermo/uncertainty/surfaceThermoPt111/covariance.npy b/input/thermo/uncertainty/surfaceThermoPt111/covariance.npy index 7f180ee392e118f89640558a80f98c84ef531df1..20c4be038f0801e38cbd608cd71ee6f466e78d2f 100644 GIT binary patch literal 282880 zcmeEuRaDer*F7R3p_CvYNJvRbhj63?>F)0C?(Xgm2@y$AP~=f5K?wy!6h>6jYS{ z&v(K5zyB`3_09!r&9Go*&OE<;_St)%$x+u+(=uu$3;o)s-_dky-TDkhzVIKE!wDPpW+~*Jw6XRyY{NUtf3}gIX-3YP%d;4z% z{#$|nR^Y!C_&;3%Ev0ix0~ewo$Eu1vWk46b5q6K-@GwPh3pIvbB}YP7c&V;@WGvV> z+@pW0YK!KZh$wE3S|P>v8TA@V&XA(`n47EH8pSVizwHd+fU6o3(zwzF5cq1&xq`qL zVoi986o&Od-CNVSTFVvjCb7wWV6;R{z6SR@N2Q@ebMAmi+82Gi>YwN!9RbShdRCP? z&S1~$t*NdOfC@7tixxT^5knkX{Oe^SxE&`Z$Vjh?Ec4#)d(Nw)v!BcruAL1)MjALn zl*8dD?3YA7C~84XcY3JCFHhv#$^milLFkrGGp^UZHR?DB4rBjnhbZ&U%j8Ai0tsQ5 zq*jk9&<$_i^$hhwWUqYpAIZ1FZIDR?hOWikTpBqi^^YYu{af9-_f_w{$pmE1INM1@8G(i(W|n=5%#q`&;QNFLFEF|@eO1ia1({A}*<~om!}QQO=3_!X z^o!BOaPXlks4Lg7mm0f4_y!4;#$OjSZ<%6MK52!-TU-C8J@iI1Y!}5F`g{-p&7f9c zK@>XEPUgvaXpUZv)XH8fIPUvb*w#zA;fc(@d=c2f4S|uz#TsKIzR>^7kJ$*14&Ydm-L-$-0Q`#z>^(i*pj49Z zk5!Njs_jVR>sR)I)G{Ss5r$~=>Qe7U@+%?Own%;8>E?xSQrroTuScSXk1pA|kHn(i z`JPGpjE*2@?nr)#(-`UBc8smR;0N9ZrVZB`jDUfUqBCnn7?F#XHR0z6po$aqXJ(~# z=$3F|LR6GCh>U%k4FBql_?@+L+M4{(gdmo@@SX?yRV*8qL97o`l5<|mg%OBkT%_e> z*%EcdHNF0;q=4w2$0VlQwg7j}Y>DKu2ngtBdedj8jlSRLedz7s4g!ufp}{&T2tBrF z6*jgFaw}7*_2`+vf5Ctxr!xs^iVj2xSJ05Nry*(~uD$b}I2dGP z+^!Jg$D&5*c%iG>VMr>4?_PGgCAyg2eVuYD1YX}o{xZ5zXf@RMg;b9e@Y=9G(-?Mx zTUNqP#zte1;h0$Qb7Bj0CiLRm{R_V6A2Z8MLlOrh%BJY7NEC=(i!AXB81g`HhSkFw zE;E=4&Fd79e(ktu0CI<^aJLTEn(?(D|FhlPI0}_ zXK2!EH3CT6s_@P0{lL(ea_^R;6XN~$&z0_}4g7h4`!nl#G{j%6&DwdA30fOGC3*jn zpnqL0el{%=#MRt!?yHc4!(gCOs+|(_wXrhX7_*1*faUc#0w3`IF!ZkOgEd^B7nNP# zjDMB9Dyka+N7T>%{@jfMV(vpPqaaTp zuDtLPZl}U1L#D*FK{ANAudse8!yjz@HEIkEJb^1S;>~(Y2qd2nimFTb!Gj4Op-;Q1 z;5a6!elyPsl{a4hNpLI>*C;7DrQrvkNdEG01%B z3jp3NO?|bUP8~d-aOai2 zrx$Vns{2<0`#&Xu_R`?it+&~5;PEQDN;3^499oxm?Xsc##hkgy?*!2FGQMn55efRn zKL?WUXMsxD74?K8AGjX3bSCXr2>9i8S5Hz#0mE|V`MdnF5O`kXRz##T`13NnClw3_ z>{YId_t~@HtLqJlrhW$W)FFo|DLV?buM`J&=Nds-m*dYWSxfZpVf@<`FD-bHOLmRi zHVZ_9_ZSmwoe&GRgYtG!B9z)P@4OOsf#)s}xAvbVz?OoX?>pfbfI#x>Goc9}*FiTy zZ*K`oS|aSzK0(lF;rspUN<476RE%lAjt1N@(r>xX!yu!F@7_pg92kFUm8_T0gpzfZ zBrWeK@Q8KfQ#A;N4m*d+LE~gFxpz+Y?z$_all?Ru!PKAg%D){2;UE~SsW=}~9R#LC z1uyN4(m?F?s@_Z8SddkFYBouf1ju{rcB6VWTu&Hqp?8ghhF-Efh5ShPJSfE~o)!XK z%LY~d*pgu8un)Th+XrIDYF|e%1b{2KL?%U21c>EFk>}6GfUrI3{o%W@U>H4F-0&m{ z9&QJ!91YrO~il0vdk)p$u zj>{o%ko{QUJV_knDre-GY{$U9RnfIzyd+R~bCGn2GaR1kWY_m!N`vtCgk5`^DeyYl zZS=|yM4N(Jjmt)S?Qbl8%1rb)Msg8VPper{o`NZd}gKkYXRde?cFVkTde$IH!2kOzRygprY~DEe{0GOA{d+d106`E}$ z8j0hxK;P_N`hyfNz(16K>MGz50rs{@6{V@5TW`qhZj3pPjz`6#L^+`PUD{YEG82Tu zXczBAN5cj0PbJb5NwCDY)hwHk3jFJFxSxI`!N}_#x4`S!uyH+pZ00`Z_4lthr3I$J z`*r@8A*?QFh`;$j$R-?4@%@yqpW-_0y7QUH8-8GCS@zpU%^W@B?J}Cj;E25r@%~;; zBn(_gF$n8U25*gCBF)}7FwtUOWAsUeh`GxicDambBKmN^!c-n8&)<9-Yh*#Bt%OXVh60Fw@4eOqTp@Y!9?kLEb#2!YJW+T2!~fbu1f2=A<{O*Prm9g@Z}Yq z1lN-|IL9om$Z#AADKGwAu{$3GA9=o94H)nT@s5870&HoJR(9K15L0gty_XU{`eGq0 z@GXv&dnUY($9*r>>;^J|^xF+_0gzqv3;&5`EU0D@pI2&*f+F)C{t^6W@N-WTHMrpm zmAlUqjNBq%|LVNsw1fw26-2uRmnJ|)*YDSNZ~#gF8}_f#^MhlS<3O^oRPB`ur#Uy5i@KK`}WZ)<@53C9bFr})FM7iDC72#Xx~*8!nTJ71Y41U9qCP08>+n08 zI-<^H+!9xQZ8$sJ%O4o<>b8e2#K3w=^w+@DVCWU9+q}~n1fiE3 zjW_vXAj8UWs?q5>s07qqTC@%WCMN0dmTrGYrnY^et`!GUpBzpe#i|4D^*`ict#KeX z7c(Nw8U&*BJtupMKEOyzQsOI+1bRd2A=Vv{aO3dG8rP#3(3WKm_wY=IrESh#Xy?}q2dl9!J z0-VY}GDh!4z;1z&Th?I+IGmJ`{{6=eH-aRJ-%3P+!G@<#FqSozw)}bqT>=#U6O$OCh=pjk99IDedvs^GgQJx<9E9dnSaAez!HS;n7uJiBz!R=& z&oUGXjstU1qO3_E(arA*JG*Sb1eMM-wkMd90H)9 zH;!x)Au+P$p9g&cJe-Y`Dpztwol#Scj-^4E{>Un)Z{iP1cI-bIlzoBd6^m->Wk+b_ zd!gfD9tGELGiWt)J3)@9*<~(wNWR(KZes^wv8jS}HTw=jkqI3wwqIb@mkwBxrG9GGq$HIML7mb6X z1Ymib!bDXW3Gd!$4D9OI!0kIvtxPPUK;f$3@zMDJAZR>G@s8085(4U_B4F~mdtj|Q<>`2gq; z)Ykgqn+dza=Dz56GFVxa5#H_(gDBctVRxuwA=rFXdh-~AgU{ZZZO+Gnr2bP%V!Cv= zqdcMp*P_6piGMcuYdpL#3EPQgb4EuByn{V$0sq1GQyu1%ub<+&VO4`>zEnIcRYvx@ zq6BbxONQ@$-x_`IV(8Czvq74wVPw|YF2L6I$$~S-23ahv(T0zF?R$Oj&3-J(8qP&+ zd)^zig7vPFOv$H4aArA(?YxmQDr3y@edKO~c4D?Kso~rNeG;_bv=xL7>j+ETF+A|T zQ)Lh{iwFE%Zh9JO6pWZvlUB;29Fa2~b5-$kS=eADAI2*)L}@r_CG2D>=!8Clfq)_i zH43jj{^B2t-Cz&rm-wy69zd)mLI2&%13jSJR2mR)MYj5unSVX}(2m-zi*lKM zh-F87L5w6G9p}wX5X+k*E+r{GzI!~NQ(?H_$LohY{@PRZn@0dIc|tVKpg$~q(Xby4 z(g#J3f{xF_VdyY@&z9T`f?$h#y2HpEScYxz+EU|@xX=jKmsf6J@K83l zlHLcY5&mps$ah9Llq6aKu@O*P$;0dqNUg#w$mbqZ9Ch~fYSJPB!iL87Y zICsxvp_ZGZf#ZLCkv)|+o^rS&!dkn=3)ar)O`C{U71*Mg6V8tC~$Z<(C~0#}!U`j}NXuJ2oa2ITMHWq?IqkA6$n;Zwb$~*FH!Sr+6yqX*9y2d{fF4 zos1-@$6Kinoq$t`V0tvm7`f4$VFj72oe#Vh1^;jexJ6%BprxfOJU?tNc!`ab%Sxk% zDtr_LL&P!jxA9H`N4g&x?X2f1Q%*vK#uGs!lDd%dmii~t+|Rx@UaK-%aS1Snw{zQ2 zD+Ed#s=pJ&aG`gKSeo&60q`W#s$F$L0eCEve<)_j!_N~Rn)?sEfXH8mzn;P$-uZMz z#mxnvh1=#MLsK8 z>b@}$Vfs@E;;2l5`2L!KA7{O%9ZLer*Iaq6Zsv)CXcE->ifp0qzU5W6`badjF>6&J z6ph5W*c^*iw86FNmzM2We|X#7Dr>l+hzfd@(tpVZpc|xYtL522h&6-ZMEj{88n;kh z8=VgaN&_MlN6RD>Hc)iEi8T@_TdVaqE?J@0-$6LUM-d=kP_vq)5{-a8>3H_DIHHzY zi8CMY0#jMz*Go0g$muxuon5Fg3LLz0!v~|sC`zc7n0dG$!&4 z{ZwB+)nQKg`YEm_4eM*#jbwv{E{8qt7atID+EIP5Y2&mPh9pbgPhT(WGtmpf)m2q`F3e> zD;y?vKcQplASj`3(Ju&(2A3i4@+HjNOvNE2we`yqmUW5^P6m>p;>Ro1x4sdewOv7~ zlaL5EY@Xthrer{aKSkbo#yCW=^*L%>JPvuk{prV~8-WI|lv5scMgkoT*ME4ip!KaV zY8IGKsjP&^DrT-xI_7$jTO5jVe&D?D{O$|v%*l^~E&breIG1NkSss*<)|m@zn#22m zG2I`vN#J>Hm0B1@1IGu$3U9YiaJDgcqI#GF{zPo zM}nE-3N}8pV|bw|SNruJ4-AmRh4l7faRb&L2Iz_?_%z$qxmRfM5KedCvSRxmp4dq$n{+m^sgYxZpPW;*ooh3v<@ zHb$PVzx0|gxVg0bi!3@P80xVvDbzW61GUW}H%_`Q5(|8zt3IoP9uQ{ViAr{Zyy=Ax z+vFBN#BngL(PapG4rp^9I|c@4VykTo!{AoEdGSh&5yr<5%ACUw0~L=##bawXFy^Fd zQGJ&JqYc4yHF7bK-1BC*6VDG(k|k?vZCXQ;wkr1JSU(s`@3VS9m;zrpsy=j%*rGgM zN!;D?07$dc)Oynz3)o+qFlw(48pS>y+G4zovMKFq*#s%!My8&_YlSGtBe_fXHa53TlZw#++e@Q4eStC0mmxmD0ChjgB-qOL1)dsj zO%5stIK}r<-}F>pKhh~X`oSCGLJLK@2%r#Nj{Cdg1?L|8F~Pf*0ju=qZa`7+NRTwbkkT+e$h3D zgmOUYj&A&@eHOUa%@D;-q=9d$-d@Rc4D`?h3oiJi!Z?q8rS)Y8?v<);d($Ek01BTS1j&5d$<*v&R0f17LaU+&xPFTqu=FP1Gi~K?)j$ zS*u++VDxXfTT`P7W=rF!KIX+iRSB-LLueK#np1VCkq1BzM=up0iUN9$vBxoAqu}w^ za||B~)1aKg!_|hi2t*XmTzkoc(d7s<*55P-f{srNr9F`#YMOn86JTTu*RQ08ddp-1 z_5<^4e@eBG>(ar@*t2M;u8y03hS6;q{gx;ax3hqExUhS^AqfHtVpco9`GKa{1AAK8 zOd#*)I9gvSgKWxG2XN7z_9c)Uj`~BO%Z!nC4PWI@tVMspC`jfGb(-wYy$XAZfrbNg2VpI;m_yE^p*9c7PYsYz6g-w7N;H#Zc$*Z$GKo6Ipw! zf1_c}fe!onYeG_iFhz5?W0{x@E4c4UFHR@Jp}cH6Rz@b+U(S=&!00#f^Dp@tEutae z)05Ue*jeD2eXnw2EFS3G&c&MhC&2Fbf?S$M7LVs z&XV4%yM)n0t2sTzWjahT^LzTG!XKFD1O1z4F}lh|x}QT6V)Qa_I8F zs z@Y)66kEcN);ZWt|q6B2S4gRF~o(js+!^hZ}S@7(F{Ad?$0nB^o1>VVs0e%jVy9B{m z@R`opxZN)m6i5{Wmn?Gt9Z05@V)Uxa%J#O490hQ)U?M-PoCiiS>BNoYJ}6w{BQ-@? zEHr%*OEMkA=z`(>)v;F5z{z!HxvdkUKVE;UKS`Yd{t<7*g4qLM&UmM-)>Il62z4sX zH0Oduc%}6@$pX;1(CDJ>mrVWC@clFobLyL(>g%UE%qd?##r1*yGY3hZ>)}Ik+%3oTYK-nTg3a7n4?XzWtOE(M zkWfEj=`UadN(%uCCzY}A+#Q~|VR&|AtHFl$0;UhMhPd8SDuE73vAjapYM?eN3%=`A z4Od;m_3>)M(f)y1jLm2z488F*9@?*hg#gPMF3tjA@^$ss?a76!ejksm7;|Cw;>QRQ zg$4-vrFPSvEg$e0&QSS@mq9)I&rFm1P4G>F(cjr90Ztmt+EdSF!{gb_Hap`gFjS~{ zvdvHlTKY?OwZ$>#@4U@ekEDsvvdtdg4tLXNa(( z4ga^00|8O9f}bNJ0qc#%M~T8rAoUJ>`~D~v)Z*VyYfe?cT9nKxd!-|ax<#<^;(8VQ zGZm3Yr)>cRZvKKTye!C#ACdo^Qwj7pGPINivkD^gm&v! z{R&Mmh})@Sbhj32EW|sBo;JcntE%{)m1;PTO_Q;GArCITU+WQ>s0Zs!H?m{0Oc)`$ z^r6iy2c~2`m4;w^#^;(+uA@JSK<2>-AHF~kxHaiZxmag_-Gqs%QAPtyk89R!-Q+`C zWHTP0&zAreZkqO8lZ>t1?hfMFiK>9_eh+f z3bwc;g0}nOV5{qCJ5Eg{aDOG9oc&%1Z}A7oi}lMOFMs>axLz={1b^jMtxd=1=k>f_ z@XFyNyr1ixbS_w>N8(xB%!k|?Ne-><6~H&W%Hk;E11Uvs>?xmN`p=_wAAwQKxgvOG zhbvqK(Kmkt3W>VHP4XE{K2!k!~Xth1WXj-+_U~{c*H^z5WAfNFFMYRSuW(myNCO4FRxcXDsA0w-JT?n zD8&j0!SLdYG5u7|4=J$5Y^$GNSOOe3#+0iy3qi;!PvV%b80`028ql;Dx|9EBH5b1E zOzp$wjf zGVlkR%AIi<^ul+BiQA+U)+ZY77h#pdqF&|DF>fstz7~5rp_vVKB-v#X)|GH!e9CV6 zqyW6sZm*~NRDo=K9`7OsKQC0>->|H^1FSSQv;VMbpiw(`LzSGmBJ1(bTBIovjAo z5j5;+x-SE2&*}PgMKI@KQt2dEs1|;{Y;Z5(DT42J4$Z9p#=+z2E4(=$i$Nfw$-_G% z7xIg2T!-B&PK-w-lM34rnqV1INwpgKQyz?7{hrPJs~qkas;_=2D*=`sinb@u zZPAtngY7$|a(Iy^oV$bJi;4C3Y#;SyK^flCLv4y|h+q=F-5#3(;x$vBBS>o@!z9;v zq$&-hT+=U`9_2uCm(~DFNjhuFTSL`% zp^xKBoYt8nczflM1(Q}etUtV1D}ONoUbT*MV`1_H_dR+|j^ASVBk_V6lT$Xd+pFR~ zA*=%8S=9w@i7XIwIkWP0BN7S&eSVvt;{@!tHCLGTHKEZfPL6r70zOFh`w;P*)RPS)Zp#my)T2TF&$TEv`W$dE{>EtT)d1Fb zcLXKZD!@8ls${IJ7G&?HcDC_WL*zcsXYDUpVE%L&pAT~#YphG8_-!NtO;=?x2Zo0a zety~%&Ep2oWJu^*igVy{5qYg6wHt7ZOICc($M}5DdRcCD)_^V%b5OULAbQeXde$kb z0Giu{^=YW|Q4YypJXTw6y*v3-RZL==|J&Q}_%;!VFNZvT5iK+mUWV-QH1~Y+v_V5oOQxOEK zco6gdxCz(9TfWpLmBGLRyq=q8@zC>ji;6ZX0^Gk|sZ+gD3A-zOSSqDOaE24Rl?bvS ziT7sL_x@T)?tk`!8sq;DKYAe}Rh0#^9~id90}DYVB{ePNd@-Duk}>`5Oak&=UoVE{ zSTMhRgMS;7n+VCx_&CIr1Bx#vzh2Qv0a5np&LrM^sP^;HvZgqQ2#c(&!^=jL$JKDjmYo&-N0jG~w zeL-Bwh%7$Dy?G&uf7vL-a*NbvDRs?%K6+7QxzIks(1TXY`vnVScVA{Xh7AnqNQ7 zIiBWWPJPo;ef?C2Ipyo8xE{onX4H^b4}={p!~z)pzV5(yVnS{MM()nG&-^j-?1N%0 z>eN(N5%hU}b1n={o>F;UBq#v^&Q2?Lg=$D7X>xRxs|HGwdC4}12$Z4r%%riP61?!E zZY0cALE0u;4;hA^uq$mds(R*vn{EFv&K?Fw7RGMXoNd7Tea__$EX?msR+Od5Fn#;8 zzXOg#6L3e0D>h3e067&w|Mb5sXuelR#3X`o`V?B6%kVJsftgq3SF9q~8ikK}m^|Ae zWk;1LVG#^l{?1rS%>+sXi<7^7RX{i+NNUvR3dai zfo^W=J)-~7IW;Bu8>`^t)BP)CrH)8qGFP~R2&2o)O^-lFK-3Z1{ z9V?u=tAVKjkE(hw7k(>eVcS*I!@ToA$h)Zw=#l0cVp7BChNF5~+XZPr9c_Iccc2JJ zh75Pe<%7W0WQ=>6hsLz89jz{Bi22}Znk$K5(UeAoy#epJQuVdm?f zFX#RowdR0@Sf+#P>wHKp?Iky=tN`T+>E$8WBp@O%URjk&hWA!}lP|+lz^~JQO4hps znjP`1(`5_cYm@Y2xdTl9I1(c7T^B=Bm#=g)J}igUvI%#iEeEtE#ee_LU_Mk>Jl^S% zHiOwWEv`bhY9Q+k`CpE(a;W3Ea$z(!1mk;^i(fh@1)jC!rlm1*;G$n_-zF@DDW?XsxO-2wKX4cNBUkx}9yzVZR)Iy0!(cNybVu+ZW98vHx z0x@H!{=a7<;k8zk zf~)p0IfuPOy_g3yW(Qv5GBrT>{OQ6jF~&dOcAj<($_H6iBkR%C6ga5cxhPj+qttz4Y=E}pVZ&{F} zBkHA=&;)x#z9c$(bx;#sc_JU11M6Rp)f$vv^8+`(GuREbU3oe3O$@l{Qvy@bT8>NzkZr?Jk7(L`lhG)`l$|c z%GXbE-QLIU@BT-2z?ru@!??qQes2n1c41(L{Uh4xzj7QftY7U|L&pInDy(?cze!=w zs4Czkk2pk;U`ZUtlA+#=BZsvQ%!qiUr=*uw9E8T#VqOHv0?uC!jfdaGKrNun^N%1o zoaNic$s7`c%bkh8>p#lE`$Frm*R%wXl2Kp2y+?vJ8uC6oxF`qRymZ^T)#pK1g7|Tc zggAVUeWm#Ph8URXRqq^9ioswEzTp>tepHlozh{Jw6e51_r+F-k!9TIw8xLsNK}cgT z^vWwz)DZVrn%kWd%G51|_$xURAQem4#R4uA|G4X;k$`oA@NsI zh^!{%FWfy3OgAI^?yV66W6FgqmY%ZEo}l|&vV$Bgmp=U#jwc4y-!ch5+i^evKX0d& zsu-~TZmE5mD+WTo3|PdAOz2;ewxz++idiwFO!D9F(&w`$rb?g%Y0!r;EdnieR!{r3(=G zW#=rNjvS~&AfG}K4$K^hzbmpQ3g!WA3GUbB!1E3l|0^6)(0+a;!6a7zO}~gT&Z#Da z-oY7*##&jhTRr#Mo@B9aR_)c?XD2b}+?pH^S>*uJu>B($W=@!LCLLg*UzXWd|1@j3 z%?Oi!+MjZ-{_1o5)$;xhE(Oy4Ms=fmmJ!|bCS2USDGn|LFO!^r97Yh;klTA%cyuK3 z*p!?DJZQ0xDa+48f_KX6nMPUos(9VLlS&S1aW9wbadQFx(UXK$HgS;j%h6})V~4+l zm2H_1#eludG%jmL6i6C7cn0z1pg2JX_xXJ?uut;Y3~{9Z4mCbw@kjy0d$I1YnpOZs z`fzABPGO!`L^QF&Knxf@l%KE&k{}r>-tQJQvM_eybhSO<0yO(l+&L5_1Jloyten!~ zpsn<4*UW$twMRL>AWE98Afw z#X$2cAwjADGvZlUc_|tv4jdiIg!wUS@YNLWxSK%?L|cM4)#euZ_E@ws!3tbYIS;e8~6WJGKd;#P)d)eEgQ39AG?qi4zhZ9f{YDhu zD6=+Q&=Wust}5Bs-(-R2MCAZ(V$Ms`$+a{kF<8EI-CgSgI~+)gMd1cBA-wb`TFpnY zz=uPqd^JxN28}6|z6@dN*@)h1`3NgQS)1A{v#IE2;= z^M1T>wglM8A=d07C7+utX7AL9{?&(@P>_4Z_bHJaC%O2bG`5XMmphuGu z@ydctQ3au5CNmPDn`^6a6Z;Q;KixMy-Ag*nub<`|PxCORzUisHeyYQq^7T_(FOY1D z3;v}ECtR_9@kyExvM!aor>713!J;#{yEo7ocf6FJMfzZJy!uOn+6Fj>2!4=o7{FA7 zW@8AQIrNH5Y*72#!ObD1xA*V>D$nI0m`tpd~y9pwhiR= zdpA&U^Fwy8UM$`-I!wNNiotx}8StXisV}qfqELc;qkLv%RH)nL^r*!U%+_+YVs9A$ zo@$e-*o-CAG>N$OP?^A?y=s6*;&l*BZEjo$vjzOF-{l-!7O?-)+-u{E6=>EbetU=M z>wIR`vclVzXl8xPfUe03QPhnM8&evhEmk%K1qlmyeACHxiAD#4X`iiL%rJt#IkcB{ zwY)%C)HZzn7Y$^+bnEGQYzHzgipFIZ^)Y=&J11$50kFQf@KHp`!FLtqdp|Mf^^I!% z-aQ+A&>&M;O*&>rKd>Yta%j#0deO;D_Deo8E@f~E)NE5@uKZnuSdPB^kdb0t{_3QG7{~9;5BajX1 z@1j9V_#y0|xj3x@vyL%1EP%y}yKG(4AEMf2x8G*6p zC4`@yb%Sr-2Ie)bszs-@fFyC^+8QSJFm?V~o`aS%%v#F7N|m*O=};MVgMKTh=33LO zzpn!aQfZ_`KdI2hs|C)aZ2*BM4jC==hNx5iXC+y*83xCXBHWoc;77Z+ge!#?Xs6&` zswdWgOJ%epVS;*K=Q%yXylw~-zgf~6cx=Fb!^%u{%nGzeF|(|zI_%vDReN>E0X{g{ zoeAVuL~CuLQdtJ}Fy<>DMdB;~E#2MJ=a3D=c6L$9N9qCI#4I7!qCKqdbMAe8CkzJS z^T=Gz31Z7h*tt}M;jGak)7mHp=mh56rq=Gp_>ih-HtW;_m>k!)(LU$hH3!c zTpevq?`_cIm~8sUtPP_MzlUWwwb0%k;Z&-sI8rPc^qv>gg<{68JG~y5x(|?-Mcugp zxrOe1Y)K{%OS~Amv!)Fy-9JpTWmI4_yKj-VO&@**(R`d2kOFQQBC60UHn1`JM?@~) z7>Lq^OmCM2l@ReNU55dg_mMWZdT?AvoK`lbf^b?Z7x>Bypu#1d zXw}gi(ySJLaWkKRKtZnQjw)T?!xgcv=vPH&ug`vb&|wH(jAsIi6C}}QpM_<-xF)Qf z3x7F8B@4yP2ZowEO6az%$kioI7pOA2d+q9kF*Nr4)~xfALm?SAcQl%X5TTwtH%W{H zO2{Z~c@akgSU742uE#d;m9^E1JWU6Fd^+TA4WmYOxX+u;9P7cjwMR^hru2XC{q%bT zPWMeu_mWQY>!&%#(>%Z^-a_;t0FnFzoKIfGagI<%lFCOujoG|VCM`kyI!GPuQksOXU z&?>hK5QX>vimG@ydgKYD3o4!~KjPq%ifYh14;N@*A+dJTb_dZcTG=g(|Ap^`E%K;Y z4TgHKjPVsLz~yC4TALzff1!SpSNFO6?Si zula|^O)~_nBf+DGwKF{ zTmhbqLzW}M)ChUpE_ zpsr`*Kl;?Kqx}5$ez6y0;70rT;hFn-ztM(K-;$l;{o$vAV*X?ahm4J{ZDJ?Y_So#pbY6z4ZBPxd&8tMCZom z-hk`@uFsxQez3DZQ&K7x1lLtF_T&Vtp`Ol=r3vc6#TW zpCXU(iZbR>)`mg-1@0Vyj}|cZtN&8RBMnget>iYj5Dv$S>152EL*Q~ngnBHABis@F z)%s&H7PynfW;Ji#+gJvBE<<7U@?bc``|5bJ zh?--Tg?_?$G+}^bhXDB%ces^s*^F5|0{p#I{7k=kz~OK0LpwDQurd_mFTelI7W(c3m)*9G zZ%sJE!+=r6voFbkMNv%WExj#pOZe#?+`b5fUuNn{O{3sElVha0I%x#GIaFD4cIfgZz{L&oh>fjC*m$@Za&pKJ{8A5AbZ~jY;TjOhLR;}< zsfr9HL0_N|i+ytt?SZr?ur&7)514(a7wWg?4;`#hjU_33SPqLUBcr4HfAbyZ!{8hN zJa3BUk}Ce^U&nopxE}`Jo8tO9uEXHxb$qTrmNEEkRpbqc^mN{j`3>Ox`0iL#9?I1| zqrCmQCJx9tyQ6#hqhUEdge^%=22+@w6tj2}2Y0^Re12{*3Mhv;;v)YALJ{xl@%mH2 zKvpXiX=>&VDo1~?>q(_Tq2p#yQlc;L1>89Ij4K$FbgOexb<#oX+AV=~LkkGJR7rTy z?+VUO)*jKQ!~m_f#o?iQkr2XLt~|9B4u{F_a>-QrgRS1%4Rx_#Xv#DxN<=@0ZR(rh zOnVGSX5@QTbJ@bPX;#U@apB;#Y{q(?OcI-v`F16E${1+mC6%3{RN%N}^+p@wDoh)B zPrADCAzek`%ZtBJz>@XQZb2jy_^;Wd%eA`0_@Uv1k4NHw(dzuD*q$etIoPdwu(-ke zK556VR31<=d?!y1&A&g|{RI&j3CO>*^-%`-$WFOTXo>%}2kl+S2lb^#F^`*DNf&B3 zp&@|AiTPqYcnuT0zXja@JIY40TU359$kA-q>0k>6Zl^Ncv!Z~azj@O8L$+rAaK~)B_EVXhrs$Gx2M4b;Fyg(c!Y!q2jXLH)l4RW!3SxQpXY+%DdEKu zb}tE%a>NAXNFJ7QX=PHeV)MkDXU%ADjF0AM=T#9zC@_rJ6oQ^L7=g)LF>z9 z3E|BYd!GPrjxQs1O#Qy>ICNZKo0m72(MD-g&)msU-^DRY#VkZrOmu+QPZV z*CIjwW5QVs`Lu@z%@aMsB4IRDy!lTtAEvq1mKWHA{Ox68@(p*~AlAiU!nJhFC1rMjBmnEslTyiTxtkZpNT#P~IQdVGSp4?*u3JCqSXX zU8)YJXn059TN&I>1PK#`t#7R6aJYfU9xM?6HY;Cm@_&kfG!?UoW5c14le)qm=jQ_) z_l_OpCJlfuKU}jfpz}dZ^I7>bGyb6eO_n;s&kO3SDz3v41^Dsp{tN(xV9p`@Gd>EV~fagu|ToUeI$9;~t9|qr>;`%zS!{Fz2e6G{( z-xvGJ*&f^nrdMfBdBV^K;}J?yZ=kZ*?~s!T1ly9K=c-Cx*zr-92gm$fVS#$s@1;T* zG+L*m$=>sZTD{ff+ZiZ-p5&V5T<;7j2VU3xy&VSEu4l`ip7sVGsok(o)QGc{ax5st zF$^d@WH`=ETZ0C*HpBZJA84k#xAOw!^(F+Au5-ltKqsZu^8E}Kcu#tMVvbA$?AntG zazFb*6}^y~?;8%d-*RBuH^UbwG)ix&Bkq#ar}5=TH95#F7iQ-j^M&wZNrt?_;XvH~ zkgHeS3)F@tYsg;uK*=Cx=n`mw9XRo!$E3{%`2rtg9&8DR%FHPJYxZ8i(&&47&)FHS z-1M=?Fc5^9=(W`tH}t-HNF65#S%X1myUT4;#6j>W=6psP0SSQ@bNnTOKtNnMuA;yW z7TQc{9A@P}SksZD*Te=G>CD_IkZSd*v67C5)*kCk7m-MJHw1Pn@4cZ$53r47kuQ?> zfe)v9n7YiYz=kGD{Dzk%Y~)ow3(5mkvvwwO-n};Q#}M{U<*zIf6`5Z13$a4%qf( z##-*TeAsdI-Oog3A4vEiUqokPiA}6z&K`6?+?{treW$Kd!tqGs6~Amh*cVWfJ;rns z{9Zj;=MG1{xnoA_%@pd8QnEnqJmCgUhdT8l*}`E{y!|BYa0saWF(nxkv4C#Eca>5* zUkExI{(aI~7ZatTi_33Ef6rQ~=Eeyp5ZW~4U|kJ`#)(?pQd$+53q344An5^qlRE+j zOWfg-zUrV&jxlzP z&(u3|7kv(ObdM@ictH4TyH4Goi1)_96eo7u5_F^<+0N$}L5#6al5wOtaBUv3VdO>J zg@6m>(}(;)(7>!qjl~oQw!9OgZH~a%wzd?6eqQSl4;}wkt{^WrqOs=U0WHy&65pZ! zD@9}P-u&|saG&kRn&d%mY`}4VHq*)j9=5;ses&4n-?c6}$YnXe;0Uk5PV{wfYpML; zR38qX6*KO!T|gTYh8+^`GG#0&>Z=T;OgQ)+e$>bKF#?)XbEs^(ondlIk&3AbDgKJ2 z*3rbvkS|`M`3~^~mK7-!#@~elc?=uP2?E-?#$9K;ux)|0E4POEriZ{|+H1$xP0;sI z>YQLy@qm|VdnCoIDj0LnjXIX1aHK0P?uI3rz%MbuPn?-*FtN%vHG}5ve4%h7Lxc`Q z2z<~eJ&n%&I+c?}z9HaoM}PaYq9Z)pOMa;L&jI4trv&2?W#Ni`aZctxa$vZ{1aKrwpgA($uZRrt?hu1klp3m+^ppPAx3LckI_~ zls|mCG_^t-9S)-vKPCIf{Gjw+?&ZbPh(mE{bDu;s@>TUFwaB!Gg4_-vrCBQsX0pCF z4fG-1Ay+U&ALXJ+is>Zoti_!O!dXT=%~eYSh+^&NmW-K}+OUi+zc8Pc>&l&Wh+8t_^R@d#yI}B=S|$ zmUn^Rp)44f>YCrLmI!K@bX)gW;Qt9y5S9^1qkqCVEhv=s| zVt_>0Q~BpYGB_vwj=0nt0d#c@MoNO&&~PW}hw?{d;JZosv(Pjax&*YTc0Ih|rW8Za2E=SfiYd@GmQ?B06{D9 zWx7PT+8s|FO6LK6nEu#?MHJkYRD3#@TnM^xTK5KN&tMZ}l-DTJQlRdwco8F)F?1IH z-Js?0z-StR1OJX1-?d9bJH)a6c z*b(zbrOBZ4VXc)RGY$0KJuqWC;Q}EY%M7^@QSfg`xZHRp4dtuK)fiEJc5|~bIIlAv z&JYQQu7szQZ<~C`H4}ZT`@xET~;%N0VRhBxcqo~{Jd{2h?toVnhU1E9i{!HHnnL`={fOSPX_swm}D$A z3lSIOR)XZdUvbc^zrpy;n*cTO8|Qf4GGM1$i1dry;Rjz;R7ms8J30xN_4o(K+id6~k>BDd;S8_HJ`N=;hyd=;dpJV?qeP-_1cv!#5 zNX$-BhM8lYe;r4%VS?W5ki%p;3{sF3GtMKf1n*s*9tk4saJsi;x+%elAM>QMazrSS zPtr1=$N-1#?v%}&xj>d2ea)jk2Bd>5-HT__!C_4@iHn#5gQN*NrsJ8=CGCCwi&Y$C zgmSNzy~u?H!lG8AQ8v_P^`|_%?~cX2ea%nP5CcP}F0Ln2$H8rp{IA-xQP3VZpuT?q z=@N9Jqbi0(lpmf_8>|h0RN)G~2SSR#Q$!H%+sT6Dr*;+win&0~(^_lDmI7XH=MT8V zpM|Y!jCO+M-e5G=bob-id^mn_EsG^S3+&n?l0RN50^Z1>gw)rZ7{UICoHWY6IkD9h zy2K;@>~F&j(e)G%5|y?lS-*%~Uu&PY4q}NdTdB`Ukh4M8H4cIT13RL|`Vm zdsLjV1RAHL{KbhxXk7~p=Rm%v?3%|?U$UKHeTv;z8|4*TwteM2g3;&TQa6|S))}zS ze`NK2C>(CRu-lpyKfhZW2v*5-=Qd^|VR4QiGu4m@vH?O(hP5#; z^{UZupKK}E_IEt$xbj$9rN`SF)1q6q?))70-+ae8y*SSi=YHXQ7@Q-3=S}fk z67FBeeU7*v2H%_F`Z}(|;OBLGt{>g^!fU^H5nK$JyZiG+0W_vXDA*w$MOYJCpIU!o|ymk?jhF?F{0R0W9N0ilgwsoA3Wlz)bqi+^YfO|hg$e#CU2I{h33mQ z*L_5J6oMab+Kof{P2S?bXwcIb(BIiLI)5t;ECp8vR7cVw+56sFEOQw|y+4QvP-TFo z!rhDd=$up$E;e_Nh6^*Ug6W@6tl;Fq;R7BA3L!Mn?C8jd9F(R9yN4Ghz-I6G3%}kd z5O?xFv1FSIt_4k0mrkHO92MQ|tYZD<0eo1{K$x#h6tCN%uB1>TON!IJt z-3q9lab}A}Ih>n)1cwjbh>%4^o$$=M9111!4~?}DAOW6cxSvf1^C3G9J;Y^HQeC3Z zjn4q({l%@1IXr-%aH^ubD-O*1a}DztD&Q|SlT>H507f3ZuEh2t3!ZcO@H}~S5;TuY z@R3K_W0DXy^l{4rdiV%6F5;CaPhKX$rSFLqhCbHgY$^chrVPyPZ4_|IR_moT=7Dp2 zPrl1WCQu1`E3O4*!gqfyCMl$M5ZcWIIcQ_y@ZHDjI>uSx;FGl~krWS8f0_unD90u` zOxd&$o(nZaRBX|f-f+$2$AUs?7F4L&m5NFe;fESajI&Q3xc3TNj}kP30N;*R?xF=K zCmE{xKrRk`FKy2C%te4~ljz!&i4yoyH+j^RH5W>V@2d92X26-5FgjVmN^t-FS>Ams z2^^E;4ltuRYN~Zwu;EN5oOB?LCmljQTx!RSD@Cyo$*j9!Q5+2*UV3r+Bf4i(t_Cvl zWWp=X?-9n!ly%!2 zq#Cn@W8P6e)96Z|LujS-6szy69rb*75H&ta4%0 zX{*reQx;h7Y!$4Sl>pCFPWf%q6!=toCUQ=&0LDE|d~KRa1MU=u%@v_S`1ZJQa}04` zw}T9B?z)zNhdtRxug?Xb)x7!Td7?blywDHIxF+nYApQ0N z?2|Zhtr&4}htfpY`;k9@)%UWG=BaWhU<_`}Jrn>%Urw57?MHKW6CJr zxgV{x9=$JI4GRyl^)}PXz-!?1+#Tvf$l)j53op(A;cj+?ecO4^TkUk@(1TpKcKZu~ zY_$T$vV2-cI@7>O?=R(uR{`)FA2$;Y^2GKtyZh;!PW^Abw_BJ`UB;pWjkoA$~Gp9lXZ+l~KV>#$?7%M2g%Yd+|LE67Qg>b3W zDw~JA3NjY`pTG5rgT=RJNh#6$qF7--+yTbcebgGKOMqhVN@`E39+pWe5h_weKpe=zjTZ-_z?Er-#M}}Q zD}*U?U$n%4%ib=PhjJPkhoxI8Ga zoCEbQ?HxiQUhkjiq^y99msdpCsN#`-Um-n}Dg~UPXNQwAh;aFaX-8;L zHkdEi3w5EKJ@w77$1TVooEL2DTFQ^|O(%N)n$`+no5_6wV#wdyzj9u4I@=8nS_Y4a z9ty&ug#V5R(pteUi+a=Q;}z&Uc*kaAD+pUuuGn-LD?q-e5MFEH5crzb)%PzZAEt=T zdn2hyj469PP8)nP!s9=(ne!yxEBlm|{nes7f2WWd(chu!7YR7iYJ z<7ktE=2}_0r~4xu_&Ln(#Ct(*ct?JhWj=@; zzAvoCOay~@y1iNHWSBIhnSz2+c-C;L!yZ)*B=U<=m{J#jINSTdHswl`+hBXm(47kP zW{&hTv5510MQw_4F#$R=OlE_03Se1a+!D+qA&E4AliE8TT&hlKzeq}ixAg}dhKSj) zZiP7?_RB^bQ>Hx&z6>yZoBDR>BI2kEh(E|j{DfORu5uemKG@9f!ghM8G#H&;pb9>x zgIyj`YjC|&1j8dXq`Z!~up7(M^QbluJ1RdKqB@%a_aZJUFCxDFDb)?Vn#c?oIo&3a z^c0;BzDjyJGL`|`tz!$%)DxlB@|ve}CO6CkrMecrM5A7D7(-`F5f1H0XEM zs?6L#c_{Ty_wrIpK%qgsa}4p^+9X4=Vke1U6FXI&H=Ydb%-z=4`UxOQReDVDr9T{% z*<$O9$^~Ur*8;A8k!ao#=9;$+V8uTzFqfhP&W#>$-_|IDz%UBtjerc`4s&eXx2BD~ zZW75QR)hfIYaFR?Y&rP$!l513Zg+o_w;qo(F`aRs^W=9 zd-C2)qw$iB3^<`%Xn8iV7!u6xMJ1T~gZvqelCkq?5J${wY(|{RN2@A!-lqk?#Ggx* z{tn_k{|S0RsT&NPr?M=|87rVgsa^97;w#VBdla8UT+|LtXU+EvB|s(+`!Ji62p8jC zKEKIV1y%V|^djsTuF z#dArxe;xNZ;(i!>Z;I>dxDJD#*YUYdd?bD8CVKvvUfIy2FVw}#R1%wLUPogd+cxR` z$$^+l5zhr*IZ15JVZ^Ps%oUp-r=U7n7mC$p+n5NQ3&WZVc_Vy3#bEsTzD%;6fmnT_ zy(vpC%3DOvOrQD^fo1r1HR!wxz+TlSl|(-E!`N@`Z_QY9!ltK%Tq}T zWTU=-xIsBRmjEo_8)XpVM{l@wZHuTD8-)Efhm>0og2mkr7!KqP$K)o?HV5?RV(t@n zk1AN1gY!nE@MT9o?2-TSGj}D#Lz^Gdn$8QwNRJIKgx5x69}MV*);nUc+01P*{t_3o zS8enYH@l8)GPC$cX?S5(=X3vf{WOEMd7lG9SwS%K-Nu2-`UXaH+>MG;3B{NPDwA?g zBmSRnTI~J^bF8?k1XHnKgL~vGHymx^F@?}BZ1$=rR?Gd8^H6LQcBFWHc&;E4JOBGr z;`m=xSfObTv1Gf3X;W>;_V16vzIWB}>w_z{_-kye&B+NHSWxKB`J0S61)4MKJrBpu z`95f9m$Ag$TDr(mUfW=ghs8v4K8IrqMo$OjxvAi@+VVvEya5&<*GBM_2*x@oQ;Cb! ze!y$(BJ`5h0Lr6y8TF%#G42_TLMa_jkR`p-n9yU0Nim=4yfA7B(o09(pAH6LUUjb? z(j72BeCd$k@;PsW(&~$%n@mbl~u44qOBW=OKjXwcv!u&lHzbasv z4{2K!_xWSi$>ff_Gaj&AC;q`4_1WZ}U12)8-wsn~XWo+WjlqtIgbm9+F~_csp40QJ zb;4RBsg_JH2V#-i4^xPq0a#=I#6%2R6c$XA?^dvEiE;eX5j1=jgIUfMUdTd!uM+o8 zc+!4z6lE;y4VLCYMejNIaAzu^w?K<&R=e`?u z$vXVXd&V%V{gaW3iG3n=NlZrnx1Bk5Gy3b`!)hMz9)12Vf!_;`9+oKL91VmU9Ev|x z>n$*1!w)7Y36$UL@nvRW^uj!@S=&fhxL`BN4f&xAh*SRf-=SNtWWk`f(x3jfJGQm_ zK;Rv{0tg+8Bs`~!# zGL9=b-U^%kn;-YOf#$vbse(n!63CA7;dEbz) z^n;Es(lv2S@z{&XlPPBc;;^4W&MNmld0{hk&n4`BdBUC88!Wvu1Z?to9KCd#0(K-N z<9xp4O=z9A-hI>`k1_PgZb-;kVbu?EAPVJ$wz#S$X3s@njviP2CT#<;TS+W!5lyz3 zv(%KC%%lbgou#^0FiVTwT2JN?;a0{PPYm&-G<#v3XStppT#dpi$NlHBu>j0uTGF8H zha2X8H^Ie@DjH+Cljk;88G-#3t~V9R4a7tuAMFp$jl%ZP2U^x$j>e*$PM?!kAYiY? z7E?tw6R}@C+{D@080`Fr>vdkKFsy^5m3@DcFSaLrG4L~W0`_@~L9X5_7@`E!C{}Vk zF_Qm%;eAPXuLjOv$2q+?&k^T-;d~gJBY@{k@mvz_U&nopxE}`Jo8tO9uEXHxb$qTL z8TPe)wNn7POftHC0y*FvwHNj3RVs)N)$3y-M0n9Otu~;R1Z$_UeOub)z{m5l?=VdQ zG<>RUYeSr=NA&S@AN{J}WTpBE$FpAGS}~Zf!x9OZOBR|oEx8bpE|N}iI}7$5l+SLG z$pkfZ%%YDs35bCuJCOnCoXYmoE?XV_o_hM2`(cQq=5Cr{cs~$6V?`Oy(fvEr;cMN2 zBn7NK^3^@r1rJa$+}=_=U=Hk@ln;e_@<1~G%ooNuDX_EmrXQ8hfnz2nqdJdj;BaBt z4WsgC5UyS*BoZ{SHlHfq=4(~_Sho-DiDf`QU1_a z2rEx&oMOw%5udzuIKjRY?I*V9FNhLhDP-gL=f|ZmKU%UYuNw#VO?YH&knWMzGc%aN zCl71R9{0{7o|l97j}%TjYiQo%AGzO;_6qJAk{bhMFyJ|Lhb-bOrYvchxsG(x20k(w zH6JU?hyGf4xvDX?Q%ZYS*1#Lclb`0b-l_ok!SKkgXh)2a@u-9a%J1smvv_I677NxE z7uYWJpw9&-C)0hj-#8W8f0h;L)gR&wPUviV!@sjPe;+_xwHa0t(N^s=#0x(k!-)JL zJ3;2^0)^=isYkW4#FYc*tL1)1mIZ+OpnRprwJhMb;0sPi_jCIv0TTsxvrrCS{Y@EB z9^3w=fAVKtK4__vRz^xif!{TSf@}*vsJz?wUY@214y@J9#aQIPa~>LcI~J5rG*6DG zoGAyYnh@=@x_EFEU6su`n+kQ0Nn@@np}%|H?a4CANm6#k$@x$d;2IhK>wR3P&tXFL z8Bb;~OlZ(%dwd{5(+e_|=4UYwXFq2BeiiBUJkLggf`qYFs?k`+Uq#R??cek)R|h`Z z{`KV=MqCBwRML;ap7811H9G=TF+?*s{mGHfg;wJ+~+Q2{ua{V}CDp8|_wze=rc z7C`%3j@LPx(GYz!G->>J8T>rH@UC$o2cqfrC@t;mV6*6n+=1Fi_#HNQlNt4XC?%a2 zBcVtHue`8?-}NDI#^y2QZJk8mX$#lxM?PfjH+K^+`Wu0YQSCv3 zdP;IMROB4vU`%hu>*9(AyyT|boBovm$DKZ3uti*luEO*~uP4u7m7h5Z|COXc1L>G3 z;Yu9PKPXKP5fFl1SF)D=ibyzhzN)qDf+f6pZ!+^Mu@vUwI~w+*J+}?JNZD86C~&UX z&hr?_fbFZhni4#bP}3T*)(}<&q+T!ca$`#%xTU2(o-+!357Kf7y-tV3zCVT;yqRED z@AEW&JrlSLQcBx<%c1$X`}e>OBBb8j;jLHB2ABTqsksbW?EA^AwdAqH|IY7t4<6o^ zg!gLT{B@kui}M_D?ibF7!8rnW-W1Oz;r?~p=ZO1Z@VzOnuj4uleqP7tdQ#`xrDC#T zm|SJb-j>dQLWaZX6naVEYZxkiAt)7IPp1wCSd>FTk-xk1xeQR#YuKws9FX(v^*;=x zD}nqZo#QdS7|@MAGkicU4Ps^U#Jmxg@cq)qEB&`~L7=XWI>Ip>a&EM0ks1?V-h5Lk zL^BH*D*sZ*)kc7kT3c9%a{>G`Bxf_FHpkxNoc6Z#iG^OJ->1_K6W}oa&4H}a40zO8 zdGhW%0*onrpIMM70C$I8i@0B2SOa(TJLalo6e9Xc}}F&~5ShMv80h`*D^eAJZU+4rTubfC)L9!vmFD)6QI!wP5 zx#hz4WDw5scjY{qvsQXCm$NiO@x=K zMeaY_62P(D@#4q;0sai{Kwd!(cyd^XcOu{K`F*|*_U}c)+l>pIOSY(&O6mK*C(p7G zPkN~(-5?iU?`vG*N>2wC4Qk)}Hzct%bH1QcYq({e1qJzT3Um>T(rMO)~d zGxIRt3F-8LvE_of5OU|+uh_N}5IDBe zA25kHQ7ol=5^SaL-sljY!-FX7veJQP4Tv|lTpFXjl9~cc|NQcT+!Em5(>oWo(YxL(sl$U(rZTr`^O8Vs>KGoc3KUEB03(xPakyL=Gekke38GEex%WIR9ary8$V6}AS zRVk1RbXQ(O`un|8TSG|?Jz(#KS=!c3#KF^85ImBV1hjAA&wj}$$iHuSb_4M+jn}9r z+b`OK+=V-F2D|C7d+1QkyOCm`b~w(ujs9QFx{h&`5YRbkYx0(HLlfJ}19D?Shyc~$opzj!$cp5^^(b={7GsqN$M8gmO^_^a~fFT`!A z&au_}i1;}q&vNMp1dmpgq}CmHXD2u zKr=}h%Z~g5$`)F11L=f%%KPIL=pr$S$LuQ6&Ht~@;Qgj}4<6o^g!gLT{B@kui}M_D z?ibF7!8rnW-W1Oz;r?~p=ZO1Z@VzOnuj4uleqP7tx^3_<&s((5;Z<*)k2?|x=bl~k zG4MgT8$}IiuA*ExsuW87b3P7SU)<>JG)M)t9qlVg0tIk9hIBsgr7y(qQ+%akg?LA4 zU#%*v&>qS}h%X#{UoivQKPCHkhz;qkvS|qc!5;Z$ii$+&wtCU$ppV{1$}Ht0^=U91 z5VTDuD1)7E3T6)f6b>|ZIZ9=UgCP8!(dU_Q#B&@D+UB(ihTk`B-n!?efmt5mrm~GK z7WHb&^Kl#UD`@?DGP+WPxI*$S)xOcdrI@{=HJt(%w`x=Vwj=(DpN3^5%9VVl8e07{ z8v;W&qOR~EfA5G$j*x-l~$)C2EK+ENFO8!s~eznBoJQxn1;l{b#YpF1+_hL;VBpRj~hfmG2d4VQ_ z3yBGl2zNv#7kNkXVB6Gog0w9Qa(pg67krZkpZt7Wx~bFP{mJpvG81$jOHFK4q|XI2 zt80=C==`72s~s$#fcW`mxR{PlM58@hT}>H!o}4SSW#I_0htHwVS|1h+`&1vXnjoJE zIgQQwYzi+%_q*i!dDVC*Olmz&zT^Nhp)`84KRht{uJA-*3S+qbP(Q>oJsbX2OU6@0 zcwkE`swvN+Q{g~twAZEwx-YT!Hx(UDgWc5Z<89;7;6_4ulky7@IDS_g`eEn@-9yiO zsZ>#~8*Rh+ICJC2o)^joaC|ouOpJ!8giPuj#5Xi|s}Z~LK^bfkGzSWt;vx4% zNAAsD#A|)#JR?_~4nogOuIsPrK&qK=`5wBzxHfs4vJ0boR>Rge0n~$abw1o^?ok%% z-wRBeFi3(IWOR#f`;&n+FzvlvMIMwDEkzwGLHUAl=yl7oN>{#| z0*4J`Vi?#xLD0rL{RoL4JpJ?WiepLuP$pK)>!&9{^H3D`KvOdCo_ld6)0F@-ll&Gf zu|k;K5iJL<^9hizC&pRLu?ELz1{R!mDXn8?ua)Vz91Q_%Tp7q7UPitnj)1s-se4tEa(mw;3ZEu_;o{Ioi z=Fp`4cyzyW-MK@1JppWb4eSJ#Qz7s51JSDmQNX>&a@Yj zaWG7b2&bbyv0oSBUx-9OBA3b`GS5h0sU4cOo^gdXAqni)X~Z8rAl`Kg3jjaW{of}^ zgfRNOWVh()4EWtW91%W|1;I^D(jjOsLFOJ%w61a$^Lb-#w87*6F6X2kpUKaG;{s=9 zw9vWsdcZZINvk|)5&!l@_=g6DeKvW{QH8i>B_>q1=)QC^?_S)LcQ1=U^SSu6B2Rk|e4*5tNZyC;Zx3`lH#yAV3crD))B89G4AeJM*Uf}I ztgf20&JA9;Y1RiQ#=^TIa_!j~U+B(A6X+D>hg3~s$lXa_2%g}f-@fY!ng42vtpDTy zT}9N7yK4UMJ+78?jTj29Puiq4#}G$)V<(PGI|ha|KX4jK7r<|$>ojc2XrKB<&hG1Y zEYzL3FGoe24sWnjzeu`F$kDaij!{X6b2k;AxFP=C!{eFjqhCg(NOVzz|tP?sZ?ZADt}~aK04*yB}UX zQ0_%Nf5p6vjv;xFSSrkY&(#}3(v4g&JIKtHuF1zSg}OcLG+wB{O?)e8Na#S zCegRY%!_RSMU2H`vMqt-_&n7rx+gr9HEOZ-xPoy$Vy%CAk_hVKKdNm<(HZdS>4I9VBfKEhB=z-tR17?}45oN}Cl7=;&I)A9rh#4g z9{;|@Y)Cya>h=C%I%vBQA~|_u;q+;t%go5H>P48jeIzpga$KY^RiAKpxALNAEx`uL zpM8|d&540p8nI@Pb2d=Q>QSOkgM8pXRXCQ5{3&KffA?i@V+LQRuBs};!^5M?8J?lhMknrS!lY@-vqqmkAd&2H>HKhA^bsji-?oR-mQ(oMO z`;!C>6`F#azmPAs^pHLWn)83m6D}@?+riX_xS$WB{t!!9T&g+{1Gkd?Jd{}RgBI2M z)3hIBK$If8{|$R0upFMJCXzTq-}Y4}_iqH)*%kPpk`)2_Q!lHAdnba^YfO{Z&kU@* zVj0R~h%kI?$n*2CKODP#`_s!Tp!Jy z2!>;K9{=8N5d+T;Ju4P-3WeAMb$?GCAi&!fZBLd-$wAcb(3ka4A{<&85MSGofWabf zjO0WN=*+$i9(-vH^RZ8udXXNXp?~nobF|;&YP*m~=3s*5UtF&;Mx6Wl&wllEE?OAP zoktDenhZSySz6Tq_1$jh`b9ZGpvw+7oH!DC`V?hZK-9!hsTAajXE^C**y^djmR z81?#8j(o?n<5#abiDg1LyRT$e58~rJ?V&+|R*>G7JXnEzF61Zw=$(o}oKkUP4@Sg^ zY^>WqD0syK&X4%-p52ast1d@Jq~l$o?^I2)IO0O=d(d`5@n16BzC{_=f%-Ll7v>kY z&^>wV(Yc47m>Cdd?^^t7@&W}|_Gt@6DRx4+3j(m-R zajo^-eh{Pa(UD9F`A2EL(U9jvLPyTMkpg`ph#Yi`wc=m}N7eB+-R;pZe}rZK1@UkI zhkoOIYo~!rS6lV7M=%u2oZ1eSGzS}=EWgZ;nQ*4kKA2p=0hmtI8C#*e*HTpRTVeKO za60hA=#`8=jA!@uR3Y7A>Gz)+EyQ2_`P$R=`iBrO$#=^6u}pw(Peg8NAiY)9s_#?x ztpqR;C27??ngbwL$yg~84J^;LG&eHQ9{aPnQb2(zw%Etp9~FxH@c;W#jgb&Jb>b$5 z_g3Tmrg#q?-j{^;YT*2JoYRZ*9C7X!&WFJ{0(jmO&n4mhb=>EO`(g0CDXy>MIt+eZ z$LIQTLdZQ^l$)-zY4aDD$b`zIZ<8h{pKpBe-{RJdcyJIQ7fSNWfzIb#>FdnifO!RQ z8xg~yI)ciPg^-Lm#Wb>ynGzxJbN%o?FosO1A(iZ z(qnx0ORB+zyMBv`lXXfbkgdZe1`Xwmu z@IixI-hVC-Qj~8ojS^#kPD|!#KRQpv@2Cl@1;oK4UfG!pMwH7spWU?Ub_TQ}lJm z_>b0jhsGY`7$>1Hmra7-FZ+JLVGmepldv9aPl7ky1tEhMQJ;5j+gv~D19qF=?j)7A z1M#{GdX9*9arLg1#oU=hNU`;~nP-f8#b=WOm$f5-l%k&k<3gPE^?%ROla1iv#w@>l zXDo2K+v)YaM)Umy$H^uC6u9F*_48w+0en?S!D3Kuz-2V)?J!jk1h)=9r9gZQ_diqg zA5NwN`$=2%EAsKMB&}i*`793n3nN6g5vS7D-u1ByLm2SBS0QuI35VbJ7H=>~MnbZ2 z#AE5&1W0G-D*QX<1;Zr+mE0OW5a4Lk?-Aq&eP#Sl?@c40Z0PwV>f%^9Sk*hCb0iji zJQ$ZOqZ7v1+Mfoho{I;Oj?eEaX$&yJ)03xVEZ$B8iIbm;g{5pFw#dYmeG z{w;*rU~^TF#05WQj&|$QMr=fXWRS&~rv7ssB3CL)B~|&NB^Mg=EbldUtk5nD8BUIEQ)| z1hRsRhgpdbI^nlmW}O9t^TjjNdYo9$U5%=G+ITqrQSzM+x=%N$b~DSm#6U4?1#jkA z)cf{hgEhI10G=Cr=l33>{@JGr&C=w75INLY^E?CXhkL3W><(yyeU$#B=UL=0wywKu zxkv=YCf?l}Gv-k2byjtOCkooGeYAaM;0xoH0>9_^d7!eoUh#FV4 zS9e4FdwN#)&|r6<%k|P}^Y#ag-_chO9ZG`8J0_O^&7}dGpsDig9C$%d#;P-!0aw^f z=oGzBE^F@49=%#J9NIEzAsQ1QN$iQ?((7bU>|swJL;E3;DaUMD>L?I+(P2vWng~Ac zpE*Cvbit^*I$nbspV#rZ9^TTK?Ebe7)RIG9FR*2U zLB~%`0`hs;4{Xy57v2It`>)haQV`kOJ^XB? z076)2Dj40;Av`!{Y8&xLQw~#1Q}`l3=E_8tYgsw0pRf=&lyC#CxwnjDrP-h>a`gFi zp+Jxfu~6RWO@WV5-sMUZ|-XYlPe_J(b~*uIBt99c`{f_mMwOc+Jyb&edJM2I&A&9&daj z(YdwK*L1%ZV*z}OUZ?R5_kk}1J9(94DL}uO=5wN`4&J!E(fDyp4D)=rt}fM72nMM# z!)oTb!1h*6;}+_<%#qlBd&$-ZxB{HxuF}+lsP&AX*t;N%CB~ch@N7A#=f4}TnkNAL zY!BtKPZ^kSaxYtZ=Y!$FaDGYJB6zG(J!0M%4E~dJcHJaMr*l}&yrf?Ya)XVFYi;RJ zDWa(=wUq;ZSw|w*MoWS8GX<-PC(2)*Tb50WLcX)#ZQ*68mw-G zg&m^B(}zsuFtj%3X^ecLBKr=!mS-YBI?aCJt;bcsRJ84>e7gjEUO&2!fpRwufAnui zP&EMatUu4JOF9(slNUreXM!794b`4XE{HczP(4Sz89WyRGRaZ@PEX6(Vj@cdT=Mt+ z?u5ANmVfWAJ-l3ixTkh1{Tey&lzXrK3qt`!(CvL_*Sv&Hzf%~HG%bUZh4NcTjn8!Zc~8v4FD%rKU6~e>^p~#%Nfuq#q?bGeHon4qxdA-nT!08c~8Ha zm&1k5`tk%)v~M}YMKw!X15t*D&H1&E{#}mL?jSeps#0$END~oQEtH0@31`CBpYZW%sLX*{dI5EVQ?@|vkeiTdl?_p3U*!rME1`9ti+Z%08{D750*K1FKzdL{T);6I zPI;xj+&Uov%3~X}y#Wazjn!TvkqZPl&bcZ5=C$DNxb>_@Sgy zDboK8VW>O}c-X{*$#35R<8vej8}n*FI9sCS*6(zX6^gzas$L2)p0zY4U&+b&% zb>8to||&c~Fv5l*3AiwVUkSdeGTv-+nfh2ltjTs^n%W!1Lyr)XU+a z*yO*F^Mrip{QuwAk!e!}-Xp%)<8(GczPxZqF1~hC_)rMoz12tl*KdmV;Ng8qc&`S| zU&lGUIL{I1e&Ku=oFjneP4Qe3?qA1!j<_EN-<#t4IMn^ z*ptjac}1ohHspDrthLc7g!*(FCTkyTXvIQBrD%RmIpVrke`!iQoC>W4aW68;Vj-ca z^AuS`2;yB3zuHqmIoWqdmDE>UK~&7;p*K|q&?>$I)`w15WB|q@uIB|_;}lOm(?vk` zB@x-w{zM?c?96{sqwi0TTJL^Lhtp5avp;|5hQWfd1|Pa7XRKxWCG8hNbooE~JApA! z?<2dItRD{?ub*<9Tebr&D*Zz_6X6hKGnu6xfOM4wJs#SEB-HoIcE}lVyblG1gee5dr`9u30#p$b}enU0>`^DEy?0D@j22Zy%AXYhI89u4BSi z-=jT1Y2AgVBzhh&_U_u;EXtt^X`K*h-OYh#rzzXs1TtVNja-%S!AKwM`o!aa{E5tl z{!DLK{IKX5Nug**0FUq9+xLmG;D_7N&DSqHu|#6-qZT>I@Ox^3mC(fwIx}M&WMol4 z#7$c@UhN2=+OD-Kxs(BJoPHt~9c>`aechJ^BEgGQ-`i<99fD<~Bq!FBfq43D?-i7P zC;lgrHSjtaqJCbYxb#sAJ1g8l+ME*&wUjOqM{h>JmA$UiFX(yTK>C!gFwF_XS`#lQ z$0I*R%~#G|=P0=LlqB-~lL(k*{QG0#0pf>yH7GZb#>3wFynkLuI#g_k2QQ<~KgY~r z_got^uM@Y-B}aroeFuHm;=UII*2i8u-jV|BN1WL?Ub=!J!}AG8ia=0%K_F#977k}R zrHiTil3_{Ut7B|e8XT1^=l+9!zxr@}ySQ(Z(06q7sFX=4+&3TNpm^?uMGO$${Jb3r zVHstIPqr9gCn=oF9FC*|)kgy{x6g@ilr$h|?!6Z_>0e4vi*ls=auu=f!5&u6JkbhZ zjey~nFHKeGea;e>{aY2yk2+T#hs0I~L49bLAdf~IFrGDtlvGFkd`v>?Y)GFLr6mlM z(TIVRe&N`Gfpp+Wain9L&VuPrN1DBJBd~bQJaRUa2l0(nbu2g<39mRF`@OLZ1{i8H zkh$cDdKpv#p7y0f<|plkq>BM?XF`B+OiC7OEBm`bqn8DuGfrldpL5`~W-nj8d<@hy zIk-n5ozBX)hBwB?4F)-VXKzU70^ObV6YrCd?}FgXHY4g?B5|zOP{EwBfJameJ@%QX zr&-BUa3vdr>w=q(N5{i`Ns~((FO^X)gnE3uG!0I(3ZA^?j{GZyVPCctJmHVuW1f5H zb8^?d#DU1f8ie?-?p)MJ07AZ2uRWCG?U7#d-thDR7IJU@@{f@~@gd8FF53r0i(;gA z=IG#$u0cB~Q6MND6a)!``oOodFAQ%7<^thwr!k%;bZ@y7Hf+K2TW3@dwQg8e!X zRe>(*t&VZ})-0I^;*4?&`dc}`H#ARggYKP=MCZ>5SY^VLm&Y}B)YGI*t4!$}i+W3M zu~a{|LH&ixCg*x6UTwlj^7<^vG&-F))J$-Lo3W3$o+Md9(6euIHg2PU6aJH19G9B#^ zsR^1)9(W^O!2Bs*1C(#$WwBhO7)XOog6T$!lxQgWbH8B%-M3{+AF!~1GZ6p6UJifH zhwAa&*C!M`F@dH6cPV*aIMVim#;iL5mgqMFe$=78{MZX}?U4j{o>*_`NM3;Us1GID zGy<>`mge8IGx=bWucAKgRS7xAMyf4Nrz73~t1>OR2Y=cY&iW?e1dne#pP@v#*0wvX z50tp#(er@ZL^%WHDg?fA++8RJAp(JQGmipz60}_GXb=ith{jECYKvn!#iUoK2?L-} zVu&_T66K}0oPYIFdSZ?TDz?II=$!gCM5BxJOkS(sH`<%BK(H$O(d_3Gh{^0|x>4^2 z5%kMp?B@!=1JYd0o}eC#d&vzV1%+U5A=iI^=8F z_2hk(Szm47#wJd)Wx8HKx_OIo`%rrj$bX02hwZ_b#H}2if|1MMT0%BD+JkyBQvB*7 z#X>NmqJXxt8(DD4_jP!alM|?3s2N_A7Ye$eaidd0HRIw zL855C@?Ns7ILtW@?3B%U-BA83Ci}6Rzh@JBf-#phb=`{^@nC5cD@XOv4eMLp%CQ zOZ+?+L5g(y3mOWZm(cta>p&_}Oon`=!Aa+~nGi=$*KB&XD-ReqR}F{;5$8ffw`=j3 zJOnsv?lZqC1g_f2U)wn)U|N+b-6fp_PcQ0qa8WyBbE$$gN~=CF&~CLcez+7)+Sx9T zA|HV5vxoNu9u$Mz&N+cnOCO9_PJKP@a}m5d!#t48R16!0oO!L6(!t7{UDC{63KUpK zYuBQ4ptZG=ef>im%Kddk(2o0nZ_BmK6Mr&+Y{Pn{V#yV>KAm$(K!3lDW#U&8y7|Cq z)JLUcinuvj0~?Lf@z7^zI@og$ao<*gi;Z}=VErNY?47q!kd{Of)&^nlFhSX)>Q*Tj zoxQE6i1uf-m#V0m=i@-}^|A}AUlG(q$nbs&+GWP zP8&I+6iM3*YxAp|u_Dp%zVY>%jX?(RXb3SYpnKN)zl(n)geqXDe&Jd$Ul~}Jxv2-8 z$$^Dt#caO5BJc`&QF~=J2et_eRZ>){;hom^iH42<;HUNq4{a%gufHeQnGm;&X(BjR zIxZ0^{nqsXR&4sTz2w@$hb*y;+=w0?0h-J$-EK!H9q zl24j)w<@5jVwvAx67?Wr zfovr6`$2RawBKu~^-0Z#TkM)A%@5y!p_hHbQTmzC!1*bzBsm+N$olS{MLwFG?}FEZ zcZz}Kd05t=PQ)?2wo*C^>2T#w^8+jXM%bNmhdy^POg5aM%o{6%%jzW?@z^D7=C#p^ zik>%S-X+r2Y99#MGKc+)itj=;|0VjoUqM)WqQk|#OVyBSw-6J0G8I{WH(P!;0Yg zUT(tm?Fv}nJ)|msDFlj@C%dvT%HUyB|2>AuJn%nbcTVt1CF0R|ockK016O?CciS>m z!_>VoosS#o@LV&?DHiE!?q?%U@H*8Y?ySY4oGto!2kIKcbj2|JpkRP>@-75;5IrMB zzR5BP0+!c^4{`Qtg`Sc~3G8a5-zxc90kU6muaTh~h&n-^>YWPJ{7-^WF z3HMAVb`JXM;lznQ>rXkVVXK4s&23Tx%z3$~{4w(FeUs4WPNhKo<4;D;nFeHoO2d9& z_SqO%RT>->yjKXh(oY<-cVb}VQ1B-=5>pV4;W107tOD|HzwoxE@b?s;KAJp&l!7ykM-QO=*zIJm;L^*er@td+7d0@?8o@k766y4d5^~UwN zkUievY+i2z25u`Jmg#vQq$%^`&uR_G9}@L_LT3kQ-8wD0r_l4mVg6`8y1(4z(c!e0 zkpkA64Adi2DL}hZ`2H<{Kh(;WH+FV6!2D^JXJ^HcjxW_u!h=5Nf2j2L6(}m;AQHun zbu-|oc+_Dt)@GpjUA3^ARS(PAZ9L68nP78VNWCJr93(sM?~Inz;D01;Tn{~0e>gl=)CjMFZ|5)E@{|d|#s|zT%PMmJo8K!tQi3!$+^`w;Z(JtV z{9!VNa8kU{1uBGR1L9WvusctjcFg@9G3OYAVwU`X|9Y$Oep9>$5ARFDdo^(WI?n0E zd5$>u3+Kb&905FUiszDW|2pn-#QiY%-W1o@aUBMq*YR_m=<>Vt^Ob?%=E3G-I~fAk zAxr@+-um{8N%q%X)N^Cwx9zv-e>(2+B$aTN$>*u+wxh7x|YW zVVv$LmlM_)Q1dVg2EE=h_S?4u5jAFB&3IoM zGF=%ijCI7pb*(Ro9n+D}e&vhiup;7T`4X(9)yF|03r3Tn>;@Wy^GzR)B^r~eN?SUj)iFYnN5H#$rpZFSYfGOLi)(3w@ zyj${$IRZX6D7@KxP5N*Qs9@b^L|HxIc8^izAY}mb<_=U#Df<8iPhGu&Um&=MmtFou ziTG+SiTeV&d_d=jS-j0aEX>=)+%hnV1M=$Ig{mEX5VbacKO)x?D79Gl*JiaKKqY6+ z9{D#{<4#t16BML>!0N>6uZFDpDLl!$k$(2B3S#p+#dMMKfe7e8V6r#&wu<@6a{V_m2}z% zD5w2x`hoS38*o&GA5(1#gEJxAloSdd*7Lf=^N1RX|U{n zgf0*pAaPv}27f3V2=xou_J%|QxW~+73x4Tq$2-PQ&(}bDMxkIV)O=8PTB7s-Cg;z~ z7pTNB?mLrrgm+>gM4m(B@2dnb_}g4{!POI#mwaQ!N-VJO9PYFy@peG^JImqp@p$BK z;o=pfi~=G}yCSvlDA;DPJsYfl3!|j{T%+|X0lGdmP#xVxuWR@gzoTmaJWtYZF8FSU zT^Xw-S1K_q?PQJY(^X1s#q>@0yb9~Iqx^l|{NOi&n zKOmo&6&uyd!3+;LyvTNl%G(3{d=6!QwTuU?{)mjv=^;QCf9CU-s%T&-*f;oE76%3% zE={A05kME!ebrkh4zN+VMi1{KP)j6kn?_uvWS-o|b6&BqA$YqzBG4OB@2NeRyoLBa zjnpV4;D%kGsj|GC;``tE?sbm`qGSBANhY!&>ds)05oTVii}nR?lD;8<{SfSzR1}R; ztOLgT%V8zOI0_DKo3tb$p9S7qjrW`4J$QIuQs4i2HE{kq&gsQ@jyU%V=fmI}0X%Pt z=aO*$I_`7C{V@366xY{r9R{D*@pD~rDC?@WY#dbHzaUhRlK_9@^^Hp6c)N%ogzJu&rPPe(IQ9!pD~zR?)v&gA|* zKRkUE`Oh6SG~)~-z@tfd#Xd#{LjOhVeF_N!_Q4Zd3Esg_)k~1beiiKz>jq0rcr(ES z+7e22k-uAlbM@94Kh%dZ-1O-x>iu%O*yii+3xw=HTh31TL9nm;cM^S1EQPd!=khl< z)LU?pj?F#_L<^#_R}aTQbCtiH1a%mkcu}CEL~aFrTmFLTei@*5C*Sq*N94C_XP$~( zNC*G)uBoE$nZPZf)?OJM2Hp%c#}%yoz%Aji3RxlQFVE&CdPWfdS`vLW&3>U!euVEC zRc|^hTovfwM?MTjO2smEGB-G5!c1XH6a-IJe?%~ZXFwLwV&tvM92kkw1HOrOA&|6S z5*B5K?nN%aEdC$7u_M1!{Jcqov9u{>)?;KzP)xCYxA=w^MqhF8Z|PAaB#_I9iZxw< zPg1i#>}S!w#kQtK_=Y#wZ#O6RT*-jjhn$)}qh5(oYop{3$lt1Y@{0$FLplVVpRsw3 zUY`x2b4gg84`2y-VLw9Rz$k(+@?p9;cD+ejn!G9$g7jp>!~+lqwtZEcB|9DUA&<~J zOmTzz4+!*=h@;`s{K=SZedL!;xH!FZDICb%;&Z&v>-Gt>yeyv>0hyFhrnmUgpi-ua zo7Er_5{rNMoj(%>IN%nR;nLoySMOi%ZTol55aE8({7{Dv zwrw?$mPZtVaCnu10@^>VpR$8lGedCPpxgmgJBrNUI!)u$Q;$q-RV*rvzi4WAdVk1L8{@VUECz4A2D4d?5> zhhK^UvEn<9Rqm0{$5X+`TbKZUSBat}|7L)&QvKcY$0IQTo%@T58I&lfQXUWy6o-)k> zhc{EMLNCIA_Tm$+d$V@fhflAcx7u3)yXld@uIWr@b_o0Wx-A{Vb)%PVUCcl}Qi-}r zB~Og5NNZJPCLLbopVXZ4$^`x?gX#h9D0p#~Cuf2{7uyh$9F=&V27HSS^R~zQ;kmfN zjd}@ds9b(-)3cchmInXs*D6~>0f(@tATRP4`Bz#-BR#`rU4%;asUJAI47`;U4TfV2 zYV_yd+ks1v?GmT+8E77|**g8#9XR+csRc{}!2FBF@9ES`P&*LPXYUAtZmwb%CFKCf z*?(hkAu|oqf7{bI5yXN1&V4GaDCBeBiq>a5hy0NXPfh30KJg(}V#;}>4|ybWFvDCH zq&YQ}&!PR!S_XT$5ARFDdo^(WI?n0Ed5$>u3+Kb&905FUiszDW|2pn-#QiY% z-W1o@aUBMq*YR_`KQ(OYMnBTi-wYk2_Ra;;1z%&6r40D)=}qvGDgiFVk_G(Vo}cz_ z;T2bbIA|i&GbOrF0C#BiVyvk3;Pr8C>8z3@_(f0mS1;HPPTvkZUwAkkio4wmw6BN2 ztJUOvCcXmj=RGNyykm{2>qUK_5zhzxRP`jK&Kfx2A?og!kB4rmmRf_^Tu>hPK^+_r z1|(E3dwJ+%pz+OBj|6nZyU>i^B=-16HU|@h$|dC2A!Pc z&#__uX5^16m^dS@)k^cL#a!SM|B%_~q>Hs}>w1U0h=qYn%f(B*(NLunlRb`dc{1WR zyKkW0a6hU0Yv;d*KqpfWle2C%G=6*#l8{>ok+D(wq0J?5R)#a~?1@Uay7x5m0pjz` zv`}g;7^fhg{}H1+=W@7xbS!!sJqNXEd72ziFBP?|f~G}I6xg%;dQfYZ2{qQzP6no^ ze`;fV`viFm_)TSQRIpTl+&6Jf$+ELp{gpqG(4PrSj$Tzy`;8#((zP$jIbK-gV6?}5 z6$cQ;UW>)|mcsy}ys5Z`7Z#hLWi!m2k9h3TiUY2pFeaX_vWPf(nz3}MH_@JsnoC3J z5Xu=1SwH<3e#aC1nv-E{8F6_}_axsyd@kZDC11%Dq?eEXk*E8S3M&U0GQuh($^Lc5RVlZN7ixK6wwB16_uTQde%QcF6@S$^H zp65XkZ24Vi4*!`0H%?U&cIx${aEQEqbig) zZTR8bqFe-FbNZNnlowWA;B-KQ?s<~ot6Y1Rl3|@5E~Y!jgPZ;up+~YGh`qr`E9|q- zekj<1FDeY8JSn{hUrPY-*0D4L8??`u^E0}Qa;29y)kO!X2DJaz(-eh)Ko#bpDN@OyYPJCC+ezkBk1)tfM*b@48#Z$>0ACLd`#eR@i-|(_r{d;79G4QB z=aUBS68ybovWpOxf%z+?r8A@pcpQYzAV1=B+H3jrQ4oJgMdi*u50L&fQd2#LPwa;tem7P?MGw>4Muv14 zuk0|@FDQb{)gX31Hh;{|hoEw|H08hZy>&Mrn0wI%TPu3R%xNA2YH6e=l~7)2TWq@E zG`|ftvNetE)BA&TwO-7iZ93dgsC=@9cxHaQmTKC_XJM_-yx$b>!NdEK z@Lmm^zm9Wyah@a2{lfV$I7a}_o8q}7+`o?d9C1GkzBk47bzFzR=XLyCFUnYDl0g1$ zksHsx@mM3SO4wwa2f9zMKIY@kP)Y|)?d*aRsOKj7=Lxdrm0Ut2S<4f$+Pi^lTg2YkjBh+VJEIgB_)gBi*IBz^WH}V_?k+*}d~C?jfE=-nd|) zfqNCKUv4pHH$gn?2I{F$JH)-OUEH$c3xd64J7t6;k?`f6rij5@G-!_+IPFRNUruT+ zV85*dc%IGk#7SN2Z$*clXv{FU05*6Ol=JLjd^TxU5b zzB*i*F^jl3E(6bbM9P8woDM|_X&w;p-jTUflL!t%Rnd1ol)_X=1D{_8*OXP*hfWX|4PT$@GGZ^s|xrX*(4Qedu zFOjd`m9g-ArzXnH2S3URt4)O$yuK!n(Chg5SW4!Isyi%gn^i`sM#IW|%9e;fS#alM zdFM=VGAu@CGBWulLG7qOIzQqGu6P^M-ORTJTR2WVjrc42ERUTGz9hm4nQpdYvB)Ph zs1rJqYzrhlb>}OeWy78NC((^mG2p>(EVDQh0k=^vkPJ-`M9mqDO@BtuHN8>#>4OXq zJE9pyXH^b&8rtFi!2rgb|Q-CuMbWKF6@_~N*a6&YD7VKyHHXP)5VsRXoC%pSJK%A{d zQC36&{=8i&9cxO5BUiPZYabzQYMH=JAmSi@OXep$t`ZA0H-ngWQJ(FJ&rX>9t)M_5)s_hdGc%-r7{b77s_SLNWpyxTk#jP=nGZyU4vajb zh(r8_P&+&}9r9)_zJFaQ1*sI=jE)E1Kxabx%vrb;j%|gy@XzJJvrzkYq^V^PJ5<_n z)K~#ihdrLi5%hkqm7M50g7}LT0dC!sXkJcuD(=SU4{xik`yXG;K>5@)OEvFAxbC1O zQrsK~hNiE3zE`2W@!+>nDhV_2j5c?7GerL0TQ1QXfAfJ)C*6sW+XYl*D9;T2N`~hN z#-*39BL1gpbka%=2TWZ#+j$J-8$Q-7can?xLcRLOGq2v40%6U_f}2DDxS2VxGTw>? zkNL@{dy_ekT)DcUoE{GbO+7oNY87zYq%NB;suXPZmj{1mCj#S#fA71MazS9KbWts} z05XPE+AB}yg5QJBcX_{-fz8g()``w!#NT_V-FCDP6z-UR|8C%esi=zt3?tp)(Eq+@ za!$%*hZ4ekpP1V!>O0FfeIz(=JObs}S#`OBWucJ1$sji*0$gh*NTNoPLEB)qUPmGy zM9n_M>II`d3lsOU#Y6e$uMm_ru_OQ(Rxibr^hJ$Io?U38(gUS>(&@J0Il}5(OhsmPI)zcjDv4 z*0RqR4bOtxLVjG#fj8x39#gco;9%sg7@3~{p~TzSUBL!G7g){o0`)und%Vu%?_>*O zGFKmQM&!Vz*hi~eeqBtMg*R~4DGL~=2`5MxK6hKA z-a9u}=_@ng;Px$gGT>YoP^aARSPx2qzO|`#g6&*j4hRvHnob6VeqQdR3U3e;Abe`L zOpawsQPfojOMvrQ^u|5^EU>Eo6Ww*26B|lz_7J@s17y@14t1f313X4VIfytO1uMez z3ct{KqwoF@L;7?{n6#xdMIx{piPO3fmO;9WYKTlg4shBXzMI-p1Z0B-j_qdu$9J2k zTtd$^`<9O{NQ4XEQ-AVRQS}JeQGQwXSRn$gay@O5`e_eZwjLGsK`G$&#oIk3!5tJ& z?Vp#_K{~la%9tH*w;-QOyuKa5b(!W=Yv30N4&o%Zl=j?O^&Pq~-!3n_@BohD@- zl?b&bLI}KHI)P0U3!&sx7>Fk{{w(E42A9s2wR?9%pe5q0R+4if2ws--do-U8CZ3X3 zWl{EEUl?c1=z%!L+-EZruH8t5nMXIR#EOgHP$wndJ`Ku6|JgH82#tkC zBISxlb%~(V^Uq7II1|2zQxRmG3y1pD!V0V~92BLeMr(ff!~KV3xw`F$SCi@;W|$d; zd{(xT?Kvn9^G%14qFW5UKVIs7FOU3R4p%5$d=0S7DV2<8NRRDo6R_M7F+lm`@f%;; zbKvLw7u`9Anb4sa8P#;b3ENe8`}jOnI_i1xqG8@X2MK-jM;!OlA*6gQ()xTl9Q!;i zV~^%as=)HRV3Qay(i@!2MLONH+a-$88HsRFR>q{54E@{-?jvkDv2egqbthpW4`R6} zubIeY0#j9usePsvwnuLh__{0_%rCFi#t%n8_>%|Pt^`rASyV@Td)N>7(+1-iZQ~$| z`P3+pAL^%crF^ixU=2g6Kac%ET=qeYZ$GP&vJf{J+waUs2Cb2haY2+r7zm)~HM!>j zK}H=eyiR%W=2t!AmSrXkm>=hlM*GsY0-1!TWG%q(F}>-5QYsM8Tdn-&%YuT}pdEp7 zLAyP($EkhM3bsEw{Z@LK0GmHM8Qr|2;3~grR$(tzyjBTj{JKz9k(Nne=yeqJPzF$#`fwd$UzM1E9L)tEArf8`Xqvy^?Y3`$2& zs7WASt^PfKmpa=hAU+t%ZQ)3T8k2q@smE!+be0^;I*|@j<-MIW5k*jJO<`RqkOshc z!~5O24ER){Wb5JLglUpj1~+~D|Ncm_6Twp2kBs5@pBynUy-@IWjT5_m*$X-?{^TX7 z0XX$}l*}dvf>)CMcHwv=U>ikc=TJ`qd$;+u&9+on9)wTX8X1tEe)rJ;BRNzyh&n%_ zHTti&8t*s7d+_kSB)nGx=da_OUXB0p9C7X!&WFJ{0(jmO&n4mhb=>EO`(g0CDXy>M zIt)Iq5+a0Aa!r!B>cj z_n;%8;53S3c78T5)tJAD&Yc>Mv0n7|>yf^d%#{L*zt^@ar1`Pr_JRe;DA8` zQ$+W}CBZw!MTC(s$X8`3coyaVI-iY1hiPM^^l=|0qNL&dH!cBZi)3IfQMF9IZ4IB* zDherNgJJfXK$;MZ2Ux@5R$In67!c`|lR~*BTX8Ry!e=cN6S> zbEE#mv`y!rtvIl|zI=TsEFL;lPUm|gUA%GkzDuRAHJrUGI!Hz21p>@;Y{4f`KHmIM zYKxC2gbn(!`5=yz@mob=bBhwh^>OsMkZy>bQEc}BLm~EoVRUZ%u4MoD3Gofwi5xYav_^sf zM{mzvHErq_FaCl7-P}NHu1q6h|HMLXGpq%{E{0w@|NDzEU2;K<>oo7cspL>CN zq#4EYH&z0Hi?sa%Am8|mOTqg4M@R=$)biK%kA``XRo2udQn*gmD`e^5=95WbuY)qO%VFs!?yE z!Tr8DdbID`i632^a{`?|#dGg|21B-KC()pmBam1gb{D5IfcVHF7I+j7Y8;h{DkDk2 z=w}}}dNCT*T>oxUyPCoCyqi>NuROr~w{^;4#N*&dXBR(rB^I8&+!NjYk%9h>m!_k8 zjbNCFNHxhP3TE~LdSCY@!mkVU4Yx-l;hjj?x6DdkShBkRox3^!UbZM~ww#XwgL0b+ zqo5$*y0CNN{aH6y4&QX^{U`_r0iis~_dW~zA)jXf$B)ttk)wTX zFjZm6HBt2Ze%?$i@x>E*dT;;!BA){^q2se^>ghn?e0L=&+Yjk?t0X6fqTy-mGUMYT zaS&Npa(=%d2K3`S{N(wwVBkavo3}OMf2i6wSqUM1`Nm}(%D=i;$uMm_ru_OQ(Rxibr^hJ$ItcaFMc$@CpGJJ<3nX|VYu~JMs^Gk=co8M^`!!1>!?AM z9O{dfHMm2%90Bv^-$v89g~QX*085*NWSBQL`?8pw50|?3#<^9}fz6>i@Q+InEJ+WI zzZ4XQckGk_#-H6mwK!KD(@BQuyi%sfeFrRBY4~q*KqzqVX%YATjRfhwvjcy)(t#|e zOZg(=aIksr1nj@}1g9(oBez4D;J@Db>e`0_c&y;5opCo8LJB12HQ9^cC&3LKMZ_1o z#HYQo!W;!_Q@4%N&^^5Vh;3j|eFVhU&b(4W+!vl>@jBm)5+JC7ooHP$6}Ik*Zb5`A zY&~jYU#Sd(gCQ10zmNhjx$k5EDO}hFvEgyO+yr3o6r1!$d)VkFD(Bx2`e3)W;-cI# z^uc>*jmR1K0zVlQw3EK^#9AGSa;N9h;Ed@~to?a6pkUtL%*)JxkcPuk=HrMT()prn z$^!XLx8D46UqX4L>O-fF=OP{SFY~{2Cp6zN{}p7uj_wu99|n3l5ubUTZTN;yI`p<2 znw}isg;$Tgq8|1qz-MK7mP^RLcWa~4gBIny=+#8$CzY*0`bKAq7)v^Im?^wFX^40T zLS+2IJ7JJe^6yH*Q?$oP8{FVOodRV7TGemWP!4T`<{jtfLYUtfETudV32JRsp3F`W z&^mhE@L5s zvSb##c$Yi$@pu}lVMA9?Jms~t_<%_lk;{7a*iPWGzN2^OZldWB@a9OLKR-p*Z zgXeP0E=C4J`JwV$T1R=To=3i1MmYyo7DjSPn(`ojviEogVIuIK8ncVz(8UJw&bt5Z zbOrNBnl5paGm-!5c_f}X2b|Svhb_({-||7{$MG)~nBr@01*{SMe2x#dZ!P6Qxj-V# zOlIS5Q8e4R7_btJ9V};DXAsseMr_5Wvz{&&7pydt^t+1dw4&+oY#`n$o-nJN2m$y*S5 zQv9yFR4~lx7F<8*O@Lv3+cL|!Fi`L)o^!pI260D3)k3ThU(tLsbph?|{)%T^Ze!pE zv82Y^UxKZ{KJ1F;+ge|^n`Kg*$QkrsZ#CX;iud5*eMxw)2F_o{IlVZ~5$As4d>EV~ zfagu|ToUeI$9;~t9|qr>;`%zS!{GBeey)emJ)f!EL;E4u<>~zsv0!~WSv`Lr^<=)j zN+}ST2*grODVMJLV|vujonoauF{fuA`zso5VHyTT9GaZ5z+Ld-Aw{)47<0TkqxvHf zbakFTDyq)|)i)#AlY8c%d1`n=w=xxI)BcfIMTNl0n&l3%E7ou!B7~LVg%e1fQG8!! z>I=?8#T>kmf2Ku&de^86y#U7d_CQrm!V+x;~Y`3>EK-+7@ zRu}mhby^C|7kfh>SnT?)>TLlmkh&nKH6t2EutHaI<}esbp$nW=^?``XYFbw49vXDt z-;kCj57NWZ^n6g>BkOffe%fR@mQ$WG`8 zH6|&mst|Jd-trtNS;+-}tkapnZ1f`A-`J#(wZcm4`{j_b`*J7=K18J{JQT8q)*a;suMV?g7gR=+4ws@F@{~cP;o$`6 zXbh12bI2Mp4H#Af(fRf2vFwC(q%Z9KPB1T*3kR}+?hBd^Q{Z!Zr}6XsXdvG|OejPV z4vsR0>te6mfaRcsE?-_9)_gx@_AU7X;rFl);xX5-yh`e;izKWY1R z*oQ2rUvNFfZ{P+w9Usn#YDd5m8M=zhNOZ57c>2eUC=Kk*=hlNqbTPO((jpM#$enih@G9r3TG$)Hz zeAJyy@qiHX8wAQaDUjvAB%=P(3glx5R$gr)p5f|;h=vbgQ1YH&=pkVUoZtIrMbl*l z^xfXCtjQ6F`f%b7&t@PTl}w&JQRD&oyH>knoO+OA*Flvgr3LGXG7k$QEWkDY>eY8c zp)ft7Us>!B0c2641eA!sGnA8f$xq%Bq`Q*&#%b)pTJcwjDDppUa({FXWRHN0?rmAm zx-uYoPO32{&=2;D3~CRJ8G*%CGpW|0Na&5Q3w;t02AAHczvZcng1GAsDf-K8;8U&{ z&(&k7mz!AP+$+~e2v`V{mY`M#e{8Dp+HJt5Y?GpHB99A`b`du-?lEw?MVW*0+N;+wX`ru@`xb; z-S__mzu%-d>;-4&bjpja2Eu_$Zq;N2;;9(_Njb_G3=InEQB+ic(CzqW`don#Fy|jW zZ*Tbj{gL#mx2U*ctT58DQ!n9K66ynsa1KDvC(qaOlZ6e=Sn0};+8eJ>_z@E`YLJX_ zkdrYF)R)Sk_{i~iqmd$@Q7}9B(^U>4nlFM_hsd$x?VBY$d}hE!nC(1S69i17Yd6Q+ zqTxvk;Ts>MSL40ac)uy$gNOGe;k_C-e;w!a;yg#3`-SsiaE<_;H^p;FxPKk@IpTg8 zd~b^D>$nbs&+GWP-t(sX?66}Ac#86+YD8(l)Y*jlu9uVHMXVcLYotGHuCMD#Xd-?L z5w}>kY8ccWzGZn6S6d(%rMNB z4{P`PR(%j(DCGT_Lw+aYLEN-HES?>4U*)fogrmIarvodV-&e|^W@98m7tJBHflY0# zW?}FzY{&W0vK;1f?UAmQjw39*6JPv+`a~N#c6l*cZH(1J#($kE5qNtlC{`*FudvQd z?Bb1l7=7-aPr9A~?Vk53dd~)fh_~DL2of$bvHIGdJ^2TR;K*{%kQ9 z;>y-e*GlXsg=g)R@NGo&2jh?*CV%YtYg54@VBO574TuScJ?}VCg_o#*b!6YH z={NGfrSU$kM?Mj{&>tBx-5zjsk5+uVDjtp}3T;>j=7NFtSIbT+)aOpuamZ{1@w4I& zj#fzI0c%&RpkBChliDc-fpPGdIGX!xYaGx>|L%Tu zI}3iNDDFHvkqKdec^H@23 zBC3KPW(-8XsqGen_TgLsBg8(N1i9BIi}G6Yz}7TRgyljOy#A1w_9wjvb_K$J+(Wr$ z%S&HHTMWy<9CZc@@)g6U!=$H&d3-P-+F*`X$tkd-_nqBhED5+sczV{oQ9pa&bL2)w z=a6e*^&#PG80c#BA;}4YYN;vScCY|PlL$iB=S48T@0&%{UkbOFX_yjQGl6_~_vl=h zF!a%W{aTOiuQKNjolUJO2d+bje38qjZzMKYp@6dzR$bbcjUEeOI-d2 zAu)9HelyC88%~q7-3=>-oz#D|+1vq`5l=OF$o16!=J)u3?M&6tP#9!MljMCt0jceq zud0s%#wMkqmEMNtwzX1n-B|Q{t1Sh@{yGCm?=Qy5syf2ftH8bs49HJCAxv&~+Y#!b zA744|dJcA8nz}C?wt$(}nTJvoY(XNkz@vuK7KpUU8a1V@v4(q*n<@(`|Mgbm{ib*i z9^RLP_iEt$b)3_S^Bi&R7tV*lIRbdz6wf8${&n2vi2Gsiy(zA*<2npJujA+XyVw%9 zuT2rKd3b>$CO#ZStn1Z9i^4D~%DXrB86z=Qu>dODA%ARoEBX@$y8&47Fe;4Mc|gzG zOjG%FA*{)U%YEx!5M&?8o~BT9z=kh3MdgGBL&O_GxqL$pkZ_s{!-h>T5*w{{&oL#e z_*LicpVAgs*tvP?&N4AfZItX5)hR!W^KbDtlAKG}CG-CNicnr)eQejyVdab|)-h`( zh#)S?^+45ZS}&-}-xR)|X#;1^hmOkodSGZD(~#Su1Nx0lFCUv4!K^8rm@)FLe74|; zG^6y!Dn2v>sP0AqA3uj1rPfghX}`qU|G*0Ve1BthtSAP&#^TLB2-(ApAOea8H8XIh zbGmZUbH3~0Jvo}7i?VS4tDm2&T?}?7_JxRHdtVQ=xp7VCnmqBwENx~^~-5>|6LIF1+hdL#hYKRL;YsH9ObGn%pc72YsDj- z>&e{t7)diow-o(#JkJ7~^=VXFld;B@b(U?u5+Q$jGvP^77CS6}ZG$@ZChCW@A}6BX z7leyWJY}|v?oc(5lyLQwH&*f&+j-(?51;ma{*Jd$g^H=zPiMMaVEP?L!xf|#i$%@- zsP(mg3)XAbVun3YZ%^&i^JW>CqOS?le`t8%{bvzR;G-|MXf^Qwc>dtIU;^4N zl#aO3l{Y-7u3ZovDUBeXu9x3IKl)Wd;7E^$cdwld7FD3`YHE+>Nb@YF?i@SpYVh)-^(%p(Yst!1knVuVs()u_ zLtMx!!yfW+x-QrSGfkoCBifMg)hEl|6YXQZhdkbVV+>6XPx+oc2*9@4#|sC)nPRlP z-%F&2?ZG+UM8l-f9vk@RaDU;03wB@}^FL2HxkTZ{)UybGZdyYli9 zmaV~mXkpv}tIu|zzgpk`(No8k-W>^qjiK!V#%n>C7VCgAf1y2AS^846_XdE>${FDu zbYHq|%UDmD>5W}|tkA;AX%2VC&4_b)ymcM`uhCSOZ)YfIM?lPl3HtBwxDy!44wIWE{>VvaJZ`m(NYrr_$Jr8+Z4_RZhC zr^6fL?;q3ue>|OcIG64F#}mnDh>(mj%1%})#fhwtoxS%SAA9e;_nz6iBr4o?Nhpz| zp=1;yB^3Rx-*J5Jr+=P*o};5aeO&i-pXdAidcAi;ep$~m*8g(Fumk`5RS_Gv`?|pw zf*WO*=##xbV*80#skSH73;kaCi*g6oExHa-#V3Pr(FKD5^9TqwI~}x*_?-U^Ki2bP z%>?rOzb9Bxez@?KsmR3=Zcw`u^X)ZEV~fcH)DUJ{;P$8(N& z9tPi=;`4QU4ujv<@pC=cFW8>Im4du@LTxge8L--JWB zXy!5*$}wm$?wdQKzMZE5Z@Urln19!l`NS)WJR06_X@e#+!M4V-(F5Jz;v$IhqfpNA zkjv37w~J`MU`^>OpX~=1+oGF0ll+1C@t=44e8E`RP;0j1-4GaN+AZd`IS&$><9jdt z31H3bM0ijkqo!B;%Qh`6FQce5qf`RVys{-u-UAid2|0Pd1z>bOx?#>~980 zWZ{L0o{cO~3ShA(_Lqjy-cgWRYJ1)t*c)jlZOpSk@t5x8(TM=KPcHM}DRCque0B1! zAxZ;3(}_YJ`*_$7U3GYG5)MZ!DT7N&JYcT#a|hiI#5sTOVZ5*x1g9utbDZd8Ven;E ztsZ|I^ilf1iP>VueoGbc97Ol>18F0t(mP$D(oK`Q1NAqB=zp8O@brRwsJ0MPMf`w~ zn|&XU7bP^>m$Ym20LCd@W<8Dgd#2P%=h~5n!(eNs{DUU){%!Ki>s$K6%^yrPeV3oP`cm#?)W z{;s{6`6rT4c&ec(^q9>K_9m)2@<~F_d~T1Hs}<$LvgUpT-0%VdXX?tJA>uRcvxLV< z=mXitKex$4mT>8T?WN0PkwAPUoH3<83SQ~g+?&1|2SwQwtP#qduqExIw!&Z!HAmEb z_-CfT%wOf!mAq(}+#o;N`yvapN=x3Yj{C!Vi9+3*OZL!yKsTog`LLYtPknMoi2&34 zl15#pW1vyulb=YgJL)N|B}iw4fwyRW_=h`D@c3DBMvas?e73sR?ifXm1y0^A*Q)XY zR?ml`mo1VZc(!_v_kb;C_m)aKb~Flfmd{U-rH8=eJi$dMgbV#VUj22%!V|dlW*duU zw6O2TeuXMYromT&_`YEPFXa6QmMo|60KxU20cNrx=y~^X@#|@0h^tqZ&8W z(kzSn@A%9lIX@`1!u;r4jukE*!J;QZ3ijafN-|;4*KN8zae(UroOh zg;jgeWF9>miLsb#(rGjiz&mtW_(KSqN67F+_kWcIpWtELkOznpxV0$9pLiJrjLfA) zH%!s<=a#szo;F5UFk!qvd(RniTu!IU`^bSR+#A2%(+@-=`0wzVQFN z)wtgj_u%2aB;2ck^Ve}sFV1tsxnDRR2ImOieN()bgy+}soFkrx!S|;4d>x;|;P-X> zT;JQAnEoD$yaDHl55+g6gAkvb zS2iLqgx2QDa%OA-WbXcoUUnsb-|VNyvLDotZ5>PI?^WC((8R(weypYx?hs~aBP8;q{for8bb}Dlg z(0Ot}l<{!{*e!c{6_umho?}P3D&k3(p17avcZ&y>YYk6O(nLTtU2Sloy8~1uSlr08 zaf4gWDZbUlAzqJK_NiLLt)@`UX2EKW390-``*(V>A#-t$Y zg=sHRMPRbWmKtVM{h-!9>8(zZE#|iU(T+MI1#*?EjfoFP00%Lz^*l4`VUxXjM~~*8 zQ9I1%oD9=oyPwbKh>`|Y`gbwj-^vR-O@23qWO-uM%4a)8k10Zg1Y6D#0UMY}sy)iR z5{r6UH;wi65tqS1iDfTN3mmrG-?{~&-h&*8NDTV-@tNY@FgzLok{vBc#})M;paaDr|HS>||8dU=Lm z)Pw8xr;ukkX4kKt+{OedLddz#i}_){>5Kh_MC{<_ojC?cQ$rAQzpiQ%?uqRaSN)TG zZjLcIQ_js+1j6+Vvy;!G9Iz>>tNwsI8h6ba7!S940WH@jEyb^FSdt!tbDzHvW?f#v ztbRERcvN$4d~sKVFBbN%%L;?Qc$!ggk`?WR2B=Q6O(CBGHAz^FeH>=o=b6X35d?AS z^Qf`y1REBaq+MsMVL^K9&50mwjN$yH2Qq%CAX!aYENJToQr893R8&kceswoH%gH!6 zbErmAz&a7Aq)@?7_zLbY&|>jRrSK1d)7Lwh zzr54|78&mLP8ofyEA77BkmhlaI(#p3#zY%}=48*z%mxC#*eu(>{cx~UA}aj!3H6)Q zi39kLxxvX3;!LX=eqOwveL4^n9(O+X!rUOpqd}GYLo(WPR7A3D1Y*<4)~8Oe zc>Q<2JHGE@d+;I}<4p;ExfJdX8u#1?aSO;hb-T^W$s!J;S^E$=b|n(a)heb-MfZ&Z zFI8u+=A^*h_Jr75U0-;Yr%HSW`5$GwrCpeurD1AmREM$73=1SgNxn!RhHj5te zA>?F&KBrI!{4&vhFn=Nf&K*r8RT2mX=To}}OwChZ!gtd34_(54-fG-$ihJ;IUlQ)s z!1?Pqrx)ir;@mHs4})_A@V+VDOTzQ(c+L^e!{B>Ue7=s)VetDpey;C-$mde;%msbl zzs;OzK7B6q?7=)uG{^G(x=em82rHmr+8K35dvF&z5A#<^@KL_Y13MTC`H%eFpLw`L zwMVS2rL-A#oJCf|eF^32T>UBJ*@GacxcU%V72-jz5{_SgoDOY#R&?^F89)+6{P~-7 z5R|Z|-RP4+d9tVX_Uf6?{z&Mf#oc^qY$%97>delJ|m}tuJ3iJWzt#f7CBrq$z2h4K~j~+%}eOQw|f5w+(WP z;Y0aHr#BI1jNaIX&WoqIR6XF|fkwfohv>cJ;H7W3O;BHIwxnp^&l}SBI0sEK{a`od z?(I%e)axqS+i@3(f}YKA7>K3l^hP)djl2U?VYgS<|Au^kxtOjd;aJEZ7BFkzd%QC z66lL=scQYrLA_9=04*NGrFcU3*q`SLCKw*-F7%Fo5pzhr<_rzT4n?w7F5mZpv9PVc z8v8&@aFr+JwPiT)#j7W^qW3GGq{mO}n1ZlVT&$9l{5qiUYh>NtBLs1QVqWjZu)=Kp zvtj+yX@G6`s~qJ;IY&P8{W5t=Nb$GuCF!sMCeh)b-t+|UWtZ!+KkWknCzeE35f|s@ zomKN-l(!oo&!0WSk9reCOrH0QlZ%a7o(xz$LF0X&(Ob z7`PKYJj~94CoT7B4AFaLNJ(P5HIpT_BE#kChWga$r^_GzutVQV)3p5Y7d~LBmTF_> z;fuY5qHBU?>TqF-^qk+F3@GmS9(n`$w-cF^hfR;5p5oFi!_kp2tXcL=Laj#@+&?)- zBq*B&RP+BzihIIm{nc-y^vbli&$yTThc+`Y&O z#M)^5n)MZgi`h zXm4`+7|S}!;knVZ)Lyun4zK3}>tYa(o?nkd?L=7?WQL6T(>dh9m`}-$x_bs>4La!N zT}AhqMa>gCXntO=7&6hWl>?Op|3bb&1a?n5XeUzwozwsOWqfwJm5w$Ti~C0*cI%oa zgn#ME4vuz!E^CPwmh|D6`^35@t5z_^aBW)O>$x{jx%*7K*^7W*2kkUTbQ~dDE2Fs{ zamFpR?j`ifUICiQ(I@(}x>!$>>hRGZVT?-lilSq<5~Psyuy?BxAp43FYm&b&n0OeM zjaYjFL5MtO`Yw8I$x>Y5%?ibo^mn%951Ibwt;YSPKmO;z!+lA(R|Ds--f3O6ZA|-Ts|5c73t@?e+0uwUc%R3 zKRvJ)?jsY;A3{OfyxYZ~CJbic##G+Np?PLKq4)bW3t-m$d{2_W5F@m)nB2j9;B@Vg zo*(vJ$d4-B@{AdAz`1h4G-g?r$R8%+S?s8*<&|@=%tWfg!gxVyB{b# zIHIO@P8XXCI`?VnvL_}`SHaXnAp;ELio2ul!ayw`pWZwGaW*uMXvcWCL0@qA$>47S z;8$MnM|~y*3cTZlpY!^HUH2AK5^XfdPR>gEl|_MrH+6{)y#Pkbzkbc6#T<^UiV=u~ zP(N!bNUC$z2^JZ2Nu|$w0?R87!qriGd$U~^w}qY29Awpwt;GXcqo+3c z(EPwFXE>GfAtQEbS6{Bo+X7sd7P*T|gQ32T>8;T}4=kBSJEmT^?VhS5kpf zUrbLb3kJa9-8Tj8naH1ojkomPPl3ftl(l!!-e;6eq5k3xl`nv5a>I`j(+!m5*4vKq#VwWoo{fQDApGyT%H}St__0OreBBY z(xYJGs4(9O!3mnbeXFB<7Y8bl+*gxPfA-dh`H|V_TlBq*s3il00)P7sqVq!v< zq}LaHf%Vw(wde|S?1H(+En~zh6pIYm72WU$c0z=2YDYNocl}+OxQDpIc>)fK8cy)c zit2Ohc|mMWJa=_~%pG%)zWeF4r7y-y)kke`4CMynznpRSNWi=nCud`Ay`WCbwv~6- z8A3?MY7YK%$Ci}uJiIu18Qu(JQ$FqVhV_Z)p#(8;>}+Wyb<9c(43-GL^7IS_D?fPw z-E7iO2~HzO}46zOXwdc!cwNg~P^ z0>=F)`P)`v0?64B@{ZKmfXv4DBk?h9th8kC>9%G9TueBiL276YpK7hOyR$>#9v25` zJs|?j1X@1EiuwT~qiS*ZW#l0!2Mt9%8fXgAwJ15s3~#&y*5CA7K)c%atyfO|sONB} zzFId1`EL07jrDv{@AlRord?MM4}B?Aik_qUQ$ns$sL#qu)bNT~0Oi^mtqp?xV&KUE zsrR&qD>%p6UH*(b3G5DkUQvoqMV=5V3O|%%{B8Mh;?IQ$C^h9E`w~NdsbgLhEr@$m zYsLJ4($)`)ch{Vfq4xdnd>;y)nkVEMWB11iBJZ~n;ET-S+20G%;6x982Aq!A;F%)Y zz19$zUn8rh^+Md)s5g^puSy}}-^ZWbPzdM3)xl%if7g`c<`CAN0%ysRwRQx#ar z=J9w10IhlD_g2*VyEQakMU3`nrKT_!rE=r$= ziy^PT?tvT89SB-IPeM{r0HxxU9$b4VK&ET#Em%_q%-I3zv?MW*M5@u*d?*2UPq2y3 z)JDUNO7BhLkWA=leEng4$q&-UKD;xVih~V}Hb*^_pHchL(?uO9h)MHU$M2j)UW}xZ zkJ8Icpi&j%xl}{I0`(&p>i^oqAD%y|I`7KiZFbELrIauB`f|9SgkAwO_jY|U{TGV% z{50fS)47mDJtIZzlmUH2J5vMwS&)=)yYJ$#J5*9d&_7RzgF=mdA7h?~?p4WP zZAE-^SqkMNR?BD9C37H~uB6Z&y@$70t+Pe`Ob3PSoj>9KP@b)}e}e(`kS0;{HIX_W?yiiy+a!qulF0qsYSfeD%{~-# zTq_ndo}cj=Qp;N+h69RmEjML#8U{HtH*Bnlq?{aAp9#s>=koF5+@i{uv*tj0St2 zSk}9GDPUknHNL8A1KsVfT&O+LfO)y0JmfMvf6_LoJ&GF?U ztv(Mhm5;>3*3@lrrKk#+BdfC!^eKf$4J{m7RH@+K!DDbqEEi0Vz9-bT=EF*7y)Ok@ z9xx?ij-ijsf&6-`i;rgp2p!W%G&@}gFFxBQT-x`=^sAqC@}Yhket)-J5PlOq?gqA_ z;^TN8DVmrd#U}^mG6LqiLGDk#=mA&qxYp>S#lh9C+bkO8A53y%v=ptZG2B~? z`%Q5V9_~xRy&5=w9q07oJV%`Sh4W!>jsV^_#d}G3ejU#_;&~W+Z;H>?@i`2BU&qh& z7?-onK_?vGy7%lAqnoand;{&N`CV&_I>v&Hq0|+-JTN^a!F3IU$I8)!Z|qQ*@v=a0QKeO@XZuY+lBpA;8h``%3> zFHGR{vc^P~B#h`iEn#{~UO^|p0j8OItSh~^FfQYa*A%&K*oB7SykcJ~>^uw8FV01M ztkc%F&{ISPf|$7aPn-N|5VmtQcZ zVYrHA2E=KuM!8}Agl0D5f7;j$y9a4&`uZ5@tHAIhMq${u3(*l*yj?MM=Lm(`2m08( zC$AMHWX-U-ou)p!yAD|TnVDZR)}_Df*`wY9$Ce21;z*Ily0|6VaAO26+g9`fcb;iX3X0b6Y$CVZCaxYZHqU` z#Txvve}u7qm*cEhpR-~_Y@H=8})(QpCbaJqn8oJh8JiKfkJXn`4ykWxmh{sbiH9?gE#K z9Wa#jm*ppO#jJ(TJfk`2hRtOk+c`vX9nV(qX#))bq2 z?Y5u*HW_s-i}2P7YF|J9cEiye)1l!u-PkaMS2>bZS^a9*ha{y#S2G+izPas+_m`Y8 z?9SEU08SBX@cgB!aMiW$%&N^}IvMV;aM=IWh4U^jwAy;i?v)a@ZlK~G z#%c@7=imG;@z%jU{>j5R> zl7{4>4|aaRDWGW67TdPDTU9rB64PnOv~qoV3ofe#zPa3l_(1J0esQtl*u877>DSSF zI)4EY6VOqWDgW8|PWX6LyQEX;uX(#pn-HE0esG}Pm7@m(7uY7o5W^c66f<6oqH ztX+pEJ@2lz2Lxb(_O-5J9G2Lj_pLO%tG6LtQuoA6lQ)(+{cBO%)E8r?2=`#sm&6|G z^c1br*gymyrMB-&z*oy4LE6 zQ$85O_>vvPlhqG>-sxnDtsS8c3Fvjhgq;4yjOcq~gvnQTf32YRGrH5SE3OA&MBh0` z=~Pfp&C=g+TE`w^TAsQ8F3S>=WT5-?h$aC0;gq&kbqKv5s55>QZ7|31^IflElH;<`bCT>7Ip?$$HSb_Lk{`iXYsKmRp3d3r-w?Z^V*qKL85 zBMkA&4}5H{Q;h=;8!qWkbiZglI#Whe^lza0$=NB4KFvD!#J)HAd?GqNCvxFMMI^++ewvwy~0lNl8p z2ihq%V!Df^=sk0VvR#%7BdIWywX92n@xGGkq*zO|_e8B2TTiS&cI!fkwI%4J(U2uc zmw`Gnm8N&Q4<@7fgt9Ffd2vJMbx&3W!YRMsWo!lLo?LIjb~6XvuasEdGAw05RlQd% zvp3>zA3w=wDI5!BUoVJ?f5`$4()jVTmnk52T4LK0`EnVSCo z6G)N!(gjZV_1+e+!cc;RBvIn*ycK^G^HPF4bkqfV(z zhQ?JcGmcli|s0AA*HN5%OYpuG&Tvz^Ss= zel24G*v8pomQ|;d;H`d!?oagnu$@`Dn~(Va9POk}L&v>AFGt|8h+QVcm{5<<_Jn{Q z5ks->OGCIy7qi}fsQ~VfaXupRMEo#{3|4NtG@wfCHMo*;4I?3WR-d*W0J(aRKkdL?X_BFh6vi6ZLS2(w?O-C0ii-@i^zMco)DP9;}L*B4gs?Gsxf#~xRA-i|?78m26wq55xbe_A0@%GYM31K_AVqt z(dP?bX7<}+=VNz>AWpOMc&souJ+bfPjJ`fyu zYS*Z@6qL3Vb+@h|?yE!;C$(Z6bheEqtyLC4nd)d;<>drOIq}c8f43Z}MVZBv4wXVt zrr~2f+Ek$C-@5CC-n;YC!rhlg3Si{o3z1Zmhd;Y8elf7P4B`TmpWR$YgVN`;?_`<^ zK}kFEB}bA!W=7n@Tbh>i-~HY2MXFV@><#!lZr5z^E(x_*Cscp^;GuyBd3=!^?%p>-@9Qdbkk!3ctA?pv?QvTaEioaStBuOTxVx zIDZ}I^x`~6oco3IVQ`KB-Z#a2NqBx8&pG0G7<_Mv&)4xe41Qn7&-Ht^=a|je+u%oA z%Inn(#A9lwj1sf00)eS4qGNwj;7CW(oo`RmA!jcF``erWr&Gx-9CJ#*mf8P97*hj? z=*iPod6WVZ(U1Xu7RuEz+w{I&lEOMqF*{Y3*nz`7!6x@#6?`N4;6zuf2(QZ?@QoYh z!2M}n{;wjbpz-U~x8uzf$UmkR^@Y3y4*Ao|b@L!zt>?sZn&47+v$b*g!;yQ?B3kLT zvR4ayfl7JU)fPB^iK;(SzYeGjUyN!N6+%48FRz`pCb(8}O7r&dOrZNzo!3N?16XM4 zohuYE(9`Q$9BNz&f~A~{-;tlzOQuld9Z4qq&VQv*s@4o2^e-0Dy}O1HB3Zp@!pgvT zEPF6BlnfqkC`(W|1g654Op})GQiyEtdZkw6A z`|P&hmv>U*FKacJSg2mL^~{2YPKS~;5)hBeYwE1^wL19SUrX`A>ki@xd~pB5g1lfs zx3!n#TEJG|#)ARtTnHT`jNZJDd_iW^tj&goj-zjy?h2BTZqoj z!Y_OEzf$2_r0_Ah=Ov)rWOb;UJRd#|=U!eR=JtaP@LJkOVyLkSXz7kuz7#RVj%{9OXHLxmFWZ|5T)erE z`h&40%>wnzF74e8aES%_1iH5ghQ-j6eC}YhJ=*7T{=BHY=?Vkgm+6+}s$l+C=3BXv z8u*hICrkgf6xtQzdVG;D@7uQAz$1}pP@78e>}zZQ_Ya1F(`T!I`n!gp;j3nNTi$yq z_oOQnDuuX+grIrgm5KXb4%GlL5Zc3KN&-~c~-MZOw2%9g9@vf>s zzH*Zx7Ul}bjQSQ~ajpgENR;Du21;Os?Sp&^YZctcdyl2~gITOvIzLAaC3q2Tr%>R$~sjd zUJykl!Rw5tAE}6gp$y97;@)c9Z;E^Ha9v+x)&%@w*Q+&RT&tdTUI)1KyQY+1y(u{?xo;Ns^>LQ?^`Hh+xyAgDf zIltbp4+XV*o!nH@$eYm@@L=#R@{!a$h#;({La2;|$Y-Mz&{7vJsLCUN8t0eV;NdGk zsddG75A|0RH=aDh>=0-5?EauVnx9Z4m)1SK>jTrtJA73+tq9R<7v2+{?T1{q|S%{=uVnl&{PKp47NH zkyHA?CjWDyk;`fD!;$D_cp*D>=WXD>sO@0*8dG_I!Nda;*mVovOsI$i>Xj=| zOlsl4{;b!*=NIz5HABO>56JK1+i1pwa%F5ED{f!-n+6foBo#H}{=h#&eI@m*FL2Zx zGgpXmLH+e@?T5(sN~=c2_2Qa2(746j7P#gMcdpwEz-4IC|5ckv;|C7WOi8O&o|x{vGr7qdzQCC9{cPAxJ1nYS{X%6( zJaGM+3HaF`4X3pE&KG(SupC>n+h=YBffa<@GLj;|g_Uqm6O{MM_Mo4bC`y5ikM1HX z50STA_?EMUt`9U!nsX1H3NQw?o zJ(^Ad`R8VbetZbRE*nsDxFDXw&lu0;lo4;x+I7BZi+mRWOeLO!FKnT?qHW>zuS7T= zPX7FH)(0W$u@S6EieW6Msy3VCa1xXQ^!6UrrTm1>b@=|cT=J5f!l`*qNy+_6-RGY z8VOhWXb(rCo|D|}o77kQiSWR)Pqnwr2Oc(^&dGc22zg%PeUFHc|2CRYds^Eb=u?#L z8f{0xK#j6N^^0VvG8UDiL*BhVbqedpJAz^Cg8xs2Vo#WAj!7FUWrgQ^C9V>}h>x)S zN$$;KSIDUnmDh?wo_6vCKB4bHAn@~~ZnIP8&G_?=TrhAheh(Ov#vnu zQ>TY*kE~E`JAaG>aax~KK8agA77eHCz0Un}bc9aL+?4_9bl}=>KA0k#4_|*?8@RlX z4L8R4T70{1V?veh3%Joes<~+|O1l{4uH>^&?<)xyKDeh%lB2!5lz2dHQ#>5`bNRH@ z!&0dAl3GsGj{VPDjr&b;4<7DI!o30P3udU&5YWSjoAL5$7 zO?^vKFoX8j{Xaa38W7j5pzh44tASwts`uj)e@2jW-+T3*S{h=mxAJ>FEC6z$gC7~% zjlpPoq3Akq98|Z-5{1?IK~TrfxMK$BKE**#Y#N;cYqugRexhE+g_#*ITa*(%)Mpy> z!J`6NeTDm5-{-?0sV{!VS<7J6oGOg}atYi$VsW75buv89j&$VADnTB~-opxj$VUU#u_BFh-N7COt=@1~6TALb7@y5s@7^hVwF(dB@yY2+M=4%kP<7PovZ z#J{%rQ~aq8@$|m@As0NB4gL!+Cqup<4wzN7fvh&-B_@Tc>5miO1W3>R3Jryk*P(k> zizz^rO!_evdDe{0kCB*{r@_|9jn!-qL)Z!gdw!>d<@lA!O0qn-Y$4lqVE}PG!`)phD1AXIM8M#dXaSh`DxMe}&w{HX zQ;Cd`NhtSK?6jm-26s&iZW<#_!rMNi+Xx~eIDGHpQl{UStNeA}3PgLtmgs>=AZ#BoE zLa;euU9d@}3o{dG(rsv7!24EVPin^%k|`8^IORHK%M++e5*3dgsfh73CHL*l;Fdy1u zOyWhy5@EkvS4bDlOLZ7RRe!#XfTdg4*G{7Oq1filcy?wWOgI~oXT~e; z6P3ZT(TZlUFacOpWcyTC(4Uv?u2mVD;~ledde0n@3J2LlL$cBPgA$2?3d@m1&|5uM zyk?gO_SW^2Iad*no0P1z8Ts#=dv;DMglZwq`eo#%?4$Wil#loYj~SvDb|jgZ z1^S*GPK6>nyZGbB5!WDbJv!M|5cN2P?w&Fa11T;Gv$Q`J=>EXxl}TFyVV|@sd`#Tn zev8|D7vg*lQbb~WW$D1MNBL0wH0mK*29PnY+=0M)p3SoZMWEf79Kg034)F$VrxU8u zpvcm)K^L9>zPu0D7<)5-pS?@WL%9sdBtp`L&m+ETT;(aw#!T=yBY&Qq)e>`d`ZL_I z8Ta4$eoLX8vq0YoKB{xo1=~A78`D?TtpaP66q@X~BECrI|?j!A#I4S`d9!Y`jW0lmeAVbOo? za9zvOEM4y+F3 z``@MQ>ZHH--QlU#&yVi(=pMAM%fR}`9lQ=v98^w3e5cVaHtsbW#K{)USP*ge&s&ZA zO>qw%?n}bG8aRI)=k(${N1XeG^I>p~0Nyvndr5eH9nU%9c^G_eiqF^aIShVZ$ItbF zujiz}#{;%l1%BA{nnKR2`8)P$)__E>(i#THPdZ;R+OHT6$BsYX%(gQJ(TL*FRZ>&X z(Jwh~D8q=wZ6t_c^6wtg`gn~+T3pBmoIAg$BeMMcz;vh!R^=xbeaTNcy5i`DUv%%io`hG>-PX)Ai zD{NTuEI_gL(du!oB+$`-PKFLzZ2zaABaLnZ(6I5ByK;Cy_CWr^nLj}&AJW>MkNUqi zGh{Mj9jzhbYvrk4YExK|_hHirH3ZTlP^IDR1h2zKf>$l%un5-%E()tahzGIN=B*%D zk`%I#UUo*jb)Vrpg%I#s-#;*L)C<~HHZqHN(D(ccPgGs71~zkFjk-Jm`H|_LPB29n zgJ7ZV`(RlSDDIo!d#4lzqop~ShtQwnW6g!wA}wnuR1YdJnT`blx!Ya70XLAS1%MV^R$vH3~t?p;VC*$FhV}^V9ES=B=AhXuKE!?cOx?Vqk~mm3Ivs9g6^|BnewdC0AH& z#~v%WhQo>w)t5)_ykXWzzUmU@u>*{Zo39y&21ZCQ8*+L zc-9QADjY2QhrYW7=Q8RZb@;(qqsx}d+p+MudEsijoD4F|Iii43BAqfndL-0K=kD7wmh#jxEA9+C>S*^2st&`Af5r6~=#>u<&>?k|Gb z?n|{b?b!kA`<9KXh!5-gmnv#!&jjPYeRT&4QNEi$>NfMBJ7|qRIPgn?3XbGkh@HXg zAdYiwzT53OrZeEuXKoe=-eN+_VUjG^=jZ-{$|9Di|K9ZP@-pg)5^tP~IHL*cSG-xj zUQ340*|S7Us2B7n|6<-sfeOs=M(h*)as^L6p}iNAuHaAJM(zK|6IOqOzPNWd4x-r- zW#8*~Km@Q|yMP5=u9Pr4s8hg1?_q(cpG6fSmn{RHXU0^a|?E_g;q3}qze~uc>d(<+Dx?UhpIqt2-{ie7F@9+P7Nw`-7=da_OUYzHM zbH8vt49*e2`=)p=3D2+NIY&GXgYQl8`8qy_!SCz%xt^udui5qx-D~76)Hlwee)*zF z1E4;Hm7V)ij9(Jm(c!&CK7!_s8uh=(4c(w)n6aiaT>_|b+sO2iY+$pk23Ja9a>K51)hz0ax z5J*Fs0xU%ahCHhY@L0m*Y5ZskEKl{tSLlU9U`k}8go-za?)r9pL)=>HsvE6;UA%zr z{m_?-cf26U=#-UN8VnBraa#Tm0$*kqla zMxTe~GlD^&1u%$Ty>!hh3hcy1d>eOs;4US3%c;wVb6eP6G|g)ShhtRg|03>y0FkG+ z`BDtXzY(5i{(?AOv^w{uihaP`Td$~x8};DhPL_Nolf&W)9$G&L3530>>KEO!K5&lB z!y*Xv(ylSBbaFj5f_HsMIvEa;a5}fF(8nVX&VKkbQGL`G<$IWq?o1{C&-agei}N9H zLpp|`OCbg{)*YoBby6Uf#%GL%oeb#j>ozzPj_&vWJn4ichyuZqN1xfxg%T+E##nwB z`GLXZq^PIjPMCR*r1JKTH{4x!*JQe=jeX+}UDqB({i4Y1*-Ekq$Q7|HkxX{R6y5K9 zl4l73@ntCdd(0g9hXYHjk++r8dD3nR@y)(%Xa$69p!bd6o07Z_J;74N23HFDt>&*<2?EJbqj4@m+HVj2wcN-e1JdoZPxSK8Wu7 zR(oZ!(}_?|q*DFtTo4p*NAx~Q(!rd%9-+(WG!qImCFnusrU4y>+*(h6MZ>_IG*{m# zPoTS(HhHew5d<{@YVHe0fjUF9_!(AnuzS6J;=6np=w;-pc=E)<(czxYZYpl@lHttC zF6x1vpz$l|z3Bwb@BZ+*-)D!7ykCiZ{I1~q>Rm%*ncx(ONPD%1tHi93o4FyiEoc*IP;8HZsOl8WavCLF0CVJ+W|3 zPJ>il3Gwic&r#yU~JtG-H%BU{pY#oIIa}EMDp)w$GILx(**$Unrl(1i?a053t zaoQNfS6!&y+#GTV2i@I$gA0f~Hz%budi+cR4Eij*a#gU$4z=+U0v*F4BJ0j0b@X%l zgJS60(o`UX8lA1!^ACb~HBwoh89$h)$SPK|NP+;XHyJ8^p>V(c-UIpbu`pHL`zKKt z?WwA&Wjwz4{O7I4{ie7F5BDYEUJabTj&pi(o+Hlv!uc>bM*#1e;=Lq1zmDe|@jMK^ zH^t}c_#6hmujA+XZjG1BH`IR*Uxf#Fie@tOfBd+_o@0Zpv)RYI3y1=ePc-9CBdwtROX&{@xhSBqFROLfn>> zfuNpO$!Q~r-VXxgqu4J-L%2-c*KNdcsHfZixiIJnS_OA7zH@;v*VgD9`31e7dycvu zL35Bt_x@T;*@QqoXGw~C(NUP~dDOIaJP_o_Q^|;*n_-7@KcOdL5Y%L=CZD?{f(2c% z{3dFSJn;cL%ChM9u}r2qGiPmu4SY-F*)~F-SK5Y9wz4tQlJ(b~I2#Ny(}EZ8puWHb z&amxWbdKCgqb!a&;SCo*y(H5P34^V9@MWAp|E<(G8ncP!x1YHV3}gj>f_G5IExR}{ zi|-ybF^LEB>{4>H#l_-#Gl`#-B3@Ra7jx-+0Mt&~L?~Y*z)-C0U8X5BI5&}dNecCU zOLS6%D(c+eMJn<3&|Mx7mgU__HAUaQZ{>@PNl8%ir{>}j_7E_)+tAB(xqg`J=-dfb4Ir-9bh29GU zm1+nVlbpcLZ#hugAMrn)HS2NFyMcUD^mre)7gQH)kL^as19xH%shD;k+^jHvL}HHS zV~gA$b)P1K`?2qXKIrG^ajf#lslr%LDb!0)QA`90_U$pBi5T#_^M6F0hdM-7m@1gu~ zjRohIM&*KoG&b{q<#MR^txuHjRax=YYOge`n$@>ZTylrfzB~D{9f4rba^Ly3i8n0D z4fc?0Voy2WmnT>HGhjP!fr9fu4t$#)(0Z94f`s-;M5}Y*zrO(bl(IV;dQ~GOI36c} zjh2kSs(v)2DAgZ-mKF_8+~*yIUSj{nCmnXWf+WaTJA6$sBNO+~SwEPR7lB-V*$4yX zAyoD3PGph6`|JOCs|mj;;lU$(NrYE};I9*$UV`UHaK8vX48ai~`lduLiO8=LIY%N7 zL+nk7`8qL&A@1wMxz06uXU8Qx6#}(eG?uU7e3bXA6H=HP&_8S;o6Zpcq4aIq2U<@f zhRM{!Z6t1RLn^&Nr6vgs2h?N(Y3)$tqO5o+&SUj{b&s(!hz61%)sUctbkL^A9cYk_ z2U(@3W2coppm{!KgmfS7^+@(M+k7kl)v`(UQ);7jHLl>I5O{D>gz{d}t z;-j(GPAc?)Hui@fPT6&dA_9(u%Q9MDi-L2!7L&$$381Nb%jL9H8hn-@wZEzB0m6~z zp8QCT0RPN;Ra%w>@buesQkunS^q5;z!yw@>Rr z|2G9^j;nd_$i-@UOvf9YZHsXJke?1+J>zD16Yel&F0kQ=ee1>THC*Y_sK_p`RtpE%K~xQrls9K?I1bhm#yNvbhxR}>GzjD22SM6 z_?78L!lNInscibW_TxUJA-I#~$x%v|g415rTQq$| z9_rK6g~8*dyUNZr>5$3D@em`%bTXEmvPS} zMOF5&NCe(5hbfaYS*qw=8z_D z7AXBQyT4qA-&@Ox^#Wtws8cJBb{O}vMpC#8l_IeBHZnzR5&u5qs%_>+AQV} zLYR+SPo>wZOoI6@y>6|w$1uNOkU><_J{q3KEfyG8g@fYwCtcxrH<0S9;AB+KfQM$} z2FE^OJ{>=ezfUEe4BQFlsXChjLuN+}Qws8+DBJDCQ`H2_^GD4eUl<@w$z;w@M-PZ{ zcMr0Bmk$rywu`<;;kmPCnX^$x0p_ICugD$5{3654PurxkpqaxyL8dVm+S`-lelTKR z>cEY{6E4=Uq9s}H=Z^Wls!ue_@%~FLpSx-J;0u9r$(7k- z*rR!LtN+1lOaXkmeY{&-FciMq27Y=H6#;#}ngkz_WCQJ~VObycI0%^980P6N0tb1g zuL`A@cOoGoQk9+rdv{AK#^Sv3oQqGyh8X@_rgBroie~}&!2=T^*n98$f|>j0LL$tK zuUb3#=0ZdJ-1XMS0Z2$S+3oqs*#FM=iE}ifwVj@*miM8X;wtt|2*w|0dz%2?Rh4LD z(!7yn$(+0`WiXVmyE<8($OlT#=RMCduS1iK%HBu&%OT>5X?m~KbvTuHh}q0d8eXW> zY~HfG3UtG&6Ib#3VN3gQVR&W&YM zP2an)+9(vH3ZYdmOJJMA(sFvI9Qp-w`QLPUA9mdb|=+}pnV;;~;Qyr>(r9apFU zW9d^QPIzC%#QX7d!>3~KeDSOUnk};#C@GO*Qp&m z-ro|w4s&E`(`%e~e`?Wn>&Mkt;3#^n)k(S9sgdHV-Ei3tg1xT3TK-rBB;FkPA?$W2 z`~HIUnIi11%+>gGAw3noQ`JXMvEx4D_!XWE{CNn@I%&wfiM@0_QoM{@^`#b?xT^ zKN2!vcJV{w@_0IYeywz&1@A$P_|Io*ef5K*PbGQBN0XsWEG?@or3Pwhwu)LOc+l9l z^Czyo&I7IxU9#o|HyDz3%;M(=MYV@2O*lpJGnR+=G309NMvQ(9V zUc+90g$Ln4o)vLNRU#_en9q z{n8^A3?Z4=FQk3ty#VfS*fhsb=q8td!@o+U8GTFWV;+}UeUb-nW{!y2^y0qcd>gN= zbUC19z3T<6&hTDI_U}c@Qg|#tI($7N4faVsZ(xv0gmwPEYU%z}Fd7~u_i`HN1blnm z5958SZt0;h+K;ucl+nodI5!>ce|CojophrG< z+iB!nx#xxWl(Mgvmt{kXYVzrGUK~Jkd^Y2Yeg&KuJLbp3Qw*uMy51<*g`qPiRvu() z=L1jt{?u7&WsoTEnz?3@2WJodnYUIb0j}edMTd&lQ}fxz_fSMH=U-nfSSn zSzy1wE2-?$3uI+b@t)+70$B#!U^3;Mp{#z`qaA zN3%Zh;M`}+!r>H4d|!K9U&ZbhjNgHWWEkX%fg;-eJxx6Rer91!qW{Z^>I&zr9@bZY z2=f=#jJYc4mdw}{*@<($t5T(3?1WI8Sn|~#ixBMPO;5a;cpZkFTf$eJE8yaO#U(2G zTFA>^=4g0jgz8_~u1t88K!Wk8L8E*XxR8+N1cu~6d5aL=KhaQ#Cs`F>i!A~-6TZu_ zUoi(J!27^A6+Gu*Ejt|Ol@B@}omqSp?7;u*vh?rd9B|(4w~unB0@AFv?7bNLApWF_ zlblaBI3JYPY{5Ub@~odnn#%YA!cmwV_B5({8%_6Oj?ky&#?VF18q6c{P8a`(d0Xy3 zZcp1L!-?XOA05SIz@kuOAb~$u=e`^cH59lBeY*~bN=04=Sq7h5*I#6Twor?j)J_?E zy0f2t1~3fazPOym&oby)y0KT|axK&xp!bj0&4K3cBbN@}tb}!ipgu3*NVKX*ee1DT z)_>>wKKiGcdAZ@Jkz%Y-%^(iQwJ&ZpAH(^t@1h?>sA5o`; z{XD|CejctdI_ovwP8b>@V17=a64MTL5zgM|;0D#~|mQ)^B|=2ZGdbuUd{r z9*~Q*8GiLo2Ff1>OPdwZ5dTL_Kn>s9I_v7+^s^PfP|HmUhezqaznk~FsYe0OrZdh< z9>qVuX2qp;+|R!T_Y+FBF&Dsdi*)xE&h2!~pU>yc{LfoW_)Q599^p$Oycz_5o#6Bm zJV%22Metz=jsVd&C3;Cjex1lU5_uS6Z%WM9i8%~$UnkD>jNYWuso8w69&EBo<`01- zlG#yDdoiRIT6W|^Ss+}rJ5|PZI|{l#eAGBw;DvU{_=z}L;CHvV*{7eRI0q5aBf5>b zU|W?v0jg{GTuQ2|x*z2PRZ%*x-Ee=R-K9u(eI5HhyvZup2J_)ih8oA6AH^U(NYB^P zm;hEq8UDXIqCt3A;}scAF?=p=^rnrBfICHXzJG-9_l@X8eHQK)eFzjEJC46cHT^e) zv`a%F@j|BarbaAW^EZjf!}r6&(j6_5f-{x~=fX*lB{6tH0s9=2EY_gIG(`H)deFmdo z;`QD)Mcddvb<^6!VATeGk8LNmO} z=@2?mc+(=p3X#%U*b457gI@Womd`N9_g%fj#9DnGe3)HeZkEUS&MEcVY{vNg@Y%TN zHCHkOlEeu-DNhC?>5RC)_4#lup)Wr2eiB^0(-L?4dOm!9P{E~xxfE^N4!>o1abNvO z&7+;rC}?%xZFFha9W26gSN_>%fu=-K;1<6VWd6NdMfo5Sk`}VA^$24BgBSO`UxzXw z?RrDJ#6&LeCwcx;;*SUMS`+frYCedi-jJIO_XojUj{kzULNTul9U793g%>wZ&+}gP zL{H7%e}D8P6Xu5(1&nplu&3pwW}jyedVOb4XU>UeIC0S zP9MVWtEIhp?lSpc`H|rneSa8`C1Hk9cRUOgUJh&foB__V4Ep2P8>IW`O~ZMd*AbCA z<|JvE1+6ios)lm~a4g5jP&_{oJsHo63lmF))L%WZ7Vn}#;$g}4*Q?mMR=*V3Q+i4idE?e!$>oe;P;sJ~Q5DFD0UVYm6?iy^1(=BOUd3FZ`i7@>aa zhB=?4Uraf@!L6mlIDoep#)2(Lf0yUMv4(K>=d^_o?vz&7aUlRrds*yvw=IIYVn@kw zoCo?3j9wtx z8gm!ulTZ&xEcpK)=^jRF0(dWC?e*mL@VcaVG^GgNh6 zcboQ(1aD>SxYV{V$a=NWdq}Jp^Dk@7?FbFP+{w=Tc@dMzsD(+0LFEp_Da2Z%Hg$p5M^{p?&I~U)1}-3-h8skDX&d&~exNm&Gtht9zvKQ7;ze ziaM4;$VFgK({-7!UKvLnMTr3QS$wU5eKX??hTf9&6a)ibpe4*xfk7sWFT55s(6jk8uq!dwMvt>ET6w^B1W7-qo(05z82ofK zIs(dG1+m|q!T#Qf6ONx}qru)!kSgV3Jh*eAb1wHW$MG27f$t7(FtWC)dE!qj7+qf- z{Bpq^ipOuZC**lTSNu-7p;QnIR5AXU`5Fi#vZ>-j%?8jAC$_itnIoLP>$RD;6AK4! zzCKYYN`v&j3;t#j^8?al2P01=E4Z@l8eQpYjwBslGCWa{hublC0{8PrL$;6t-xmjS z)cNgAmG_@OIB(nANONBwN}E1WovaUol-I3M<9_ZSyAySiral6KlYRT&s~f^k8>yUu zW_L(Xr`x@h5dlXA8LZXQLtr!O@*}H74;ZH!AhY@v3UShQ78?qJ5Ts&WNABncSh}@3 z#P1Dn57|xkH%3B@rOydNUQL)t&{cJK69mRZhxU9Da0jyCGuIRnoq)-i>VV;=XsC`p zI4*+s9Nd=n3U{}HA&)Lu@iztL-}oOWlT~wtQ*SO(@H4tVsrzzymWDeV(LW^jkTnSN z7|C{SXXrz(Tm7Qb9xKof7)pQHX%BC_48J?6g+P?}w~9OG!(sGwppKlq9~kLgkd>6+ zM+}P_6PZQ6;Np7k_77QO#4@7#PPokrOhpR@y`$yPS+2d0zT){ADz51oWDEqy&4{#` z=awjMo2~6_q8}U^uN>T5zXIPGom0Mt`T`kG=X;X!5NNr9o*es$_iGlEBVT=8aSl&e zn&&_eVbMSyp2>S=(HaSm z1P_ikxr4aplahpco&eujb-m?1A)GSt&09e|*opXo1>NxE$5nSRhSt?v`4K zf|5Ro!4}Ur%wOA4x0cpGenTI&yye3{M&g53%*7Z`j;%S*d)N>B^r!6=-s=PHKD)KQ zVwhVwyzld1rz@2IW2o8?vBSAyn><#Va5%-Ik*Djb2|dQOOj>tvu7Ej$TC)o0j;0uj z=YLs%@LEg4pJ6XZ+$sAhg1I@5Hiy!!AJ9Nh^wGc!+>`gSV{`Bxz(u#yV_pUBw*u(+vo%m0#N#5|u;_6y{Ni-~Vm@Nez zwMG0I56DN}djEHS?|)V$&6&I1+0n&B`v#Py@E&sD=kwcdWu(Dlz|l#T;}r6I%vNct#*g@T$vO;{ z52La6u94_4O+`jUJIx&YK?(4+4Ua&c$^et2Y+!iU!KE_CZ?V!b?**6M!=>7TCJ|+#!-Jdy@+%Je& z{;}25UOa|kT8xc9ludLB)c^zkMGa&b&ewhS_G+g%Wxf^MuI_%;|V+;`&qX6oiLG*BsLjfM;L!2)?G~M?GmY z;Yu8sqy5uKkG+N$W_LGByu2rj=rX=W#W~6&3;M;qL6yhQ#;jac|6vN8lL_;bdwUFZ z>OSNX+`0l{W}APb`)N>}N?4)?=I~X1aJD47AdVD+)9hxQ&ZGO`+dI+;N{Bvf>LrEK zSybxcH7C${2(E^&ekb=+L22!?15ff~q1sf{=5`t#o?jmtw-;c5-K-BHG7rdsW!G!@ zlLm?)ncwqtorV$SRCEIj8!y0_6M_=Kf=5t{ab)J5jkeD0zpacHB+mmC9oe5bPHCtN zS*6m9#e9|NmbJ!%d?=cKov#;uOY#2*f0oy92~{p0i2kQ60;_w{a`fiUqGNOeS(^R= zsO#I(9A6DyzUmdxER2=nA z@_kl93e5*YmKv`h&Ov+kh$(8+Tj=y*@TfAh3hxr?tfN9VWFsc4h0mZYqpSk*X>rI{ zv1v$JVL>ucXPz9W19XpU`}VsSQ51HH>(sZh?ao(fP8&zNIZ>_R^QlMfLdegpBrHMr zxfI8q(;t*dkHJFr{`}{yaEqv^TPNy}xXuQ(AO(-v-++DYu=)?LB0|K<(%L)T2QR=RC)xgcDxkm7dr%p3^=m6cTMr_!TjW8}@$z8mqbuoED~x@14_)~3SkM;Vw~j+? zTtFW>##Vcm5oL$+x;*Uc>fE3>?;d#lAlO8Fe$augAdZ)7$X$;de!dwkJM~ZrJ}hLI zZrF0c(~;*-^Hi9D@n2oa?f@B7ExS!`Y4cA?JlbtigP$Gs7_uI|qQM1A-a&6xtF+;W z;Xt%ruqG;VtG-pSz9V&e>~ceFyguA-KPT0K-ytFQuS&U0Wq_Vh>zco)$@O;y^>1jgr@R&cR{v z4@x<+=ioq+zZDHN2Z|N#ImBuSz;mAU_E%>{^nr!GwCxEC@KgWrO=0FmUoFgRNfY?c z{JR?;+xISYlKk(_MqXn(?V=mv(kCC3Jz@#^AM-axhP6SvRDaQ%#~W3LQ`-Fd?1Abg z2T6Smte|QSDX->HFWCLElKJ!>4cHd=_Pa|M=aTt&?rExsz?HQ_S+f-y=t0->l}5^xpzbCBIpYV&+@I=|lw>VNv z1z_1B)L{25f7sab_);|PUonR)ym=gO8MGqeUs7{eLmR_!@7&|A5X%tSt=r-bTE&zy z@5lmx%HyV|kF^~nRUBFUxQy>j4g&Xm{e9uzjO<>yYfkvRX#e5laW}{oJ5pO6EQ)(? zac@MU#Nido(E#K3?m&2}3BM`f!6ST0gja*$uM?bJg6BwZzX(1I!4V+(rbI7^$glsG zbNpW(hS-}D^L1hlL)_Pib6p_h_pIb!S1^CETKJpZ2(?x{99&kxoTaL(H=l<~qSd~o zdtxP?5a#G56Ek87v~}@MpPn@Y(YtTYpJJSlD$>-^Sun@*?6F?ihmXu*L3?uPO}P)y zcPYJiS>^>|+Y=&}TQyP3vX|m;x(t5**j=O=$6k!Y>8lBR#$fpE_{VHt8%VOhp?N$e z1|){R_jfqE!5YVWH%Eyv$V6r>y**|L#YkY^lW*8-bm3cv%6T$W)p>Xw6Z4?D#_92p zqz8~!*%^p@wM6I3pzMvG7J8LbVYtGr0rRe$^J%5#NIsb%=3ayx&f{(rOa3!Mjzh`k zCrX_`eu}R%#$N@!S+P;NiSvnGpDyN7%u4{jhwE&4k0TuK*wt@t7XoVGnhS@DBY-K1 z_9GSNDKure$Hp1+%=V2$bp$b+qthmr{g$dUAoY*BZOrI3I4JSRh}$I)X!b>=w#(Rp zmwA%tztAf{{c>G>;-?L)yF81%N#+70hZ%oS8qkqlquq5#3|jqI8!UF2qy6XH4K(Ggpdn|O^vj3|Vn3TQ{6k+AWURZV zCKnxnlF#ONV!0O>$13O_!uQ<5)9IAig$D4XL%j6XRep5jR&B}syAFsdIX#2Z#sQtN zlzIE8+!!Xg^j~hgwME}m68oF2%^|Fv%%Aa>2CR{_QjW7)q5Ol=mFB;Nk+q7y>vFq2 zs0ylZ^}48_xzB9}|KgsJ#n#H-J&Sg5ljhq$X;hk(%Cqcu_a!H{{S$7WZfCFGw`jH6t)MdRXH$v=060>57SJZZlM_A&*`e;(FC z@%%<+;t`?Hv1A-C5v&2lB-dsfr`_PY_1z~VKk++tjQ-m(RY#~A>?wfz*vCBR&EMQ6 zi=MZfpZIWa56G0uwR?9fg8q32fkvE*`s+n{I+Vm0Omr<3TrBOt<+NOQOY}9Mhs13A zabLI@#84tGy^_R!DsqsnQ^7YuVtg>SL=;XIe*wmexFbZ3h%N%clR(N|5n z1CIkis$C#Lc*z~A17tPH*A1aN`F--tP8eVs`JcU4oRI0zDW7bd!za#nlbIR*WwJnc zG5$=lALk)xPn>i4O&tNQzisHAn1ll5F2<-HCd{E^P73mnN(Ut#`c^-WGPvO$Epz&5 zDMX)Ud+vaHj;ud!S9N5G0GsLbb;UQ1kdyP;I|}!k>--Np(hFnm#8Fc>3cy~^v)8Hb zw`KtI-aaySvLaZf>aGrF&Vg#4ye-e4rcivx*3LV>7@D`gFfR6FL1?9{VV7Mpc(>hH zq{BXUUdjL-OTI+-pyux%B3=Owuk&i9lcJ$sbdW9)dz6fJGiIL|tOmKCtg`eeHbBPm zwTX4w4-z?78i&5*LKqd#Cx+fEa9WFAzvG_;lMCl~oy?O#xj0u9X(fZ)TSuGCUm5>- zs|mj;;lU$(NrYE};I9*$UV`UHaK8vX48ai~`lduLiO8=LIY%N7L+nk7`8qL&A@1wM zx&F^ASyS1*42my2b%|hg1G4t-$+!5EpszSm+4hbLSXzJov*nuu9kIH%3Zv7Y_lbLl zZ6V&TvORvl_B95!4htY~Z*$ZG`X^{qnkxe6 zIH_Dk&C21+g~u1xP1(`Dm|6Mo0L;^s`>t9dT!68nbxp+~KR6%a(>r;m z3ZC8JgMmR4#L_a)&-|hg)Tj0~JnxBzw+@U6&7C>0K3Edo_d5s59VVZu*TlkYM>RT`$MZ`eKbLI-p)qYDx z6O=j7d8t~(4D%Ykj=iV+b_{crqnOhrYs}Gwqz^vq8imkTuVVf3Xeiw9?-!}4am4%F zYJEe@4QAEu*0pBMgWVTTv7Moah3h%_q5b|95Gf~dk8UvztUkTo^ZhFB6C_RZHBRJ# zl;(yKFV3lG9oCk}%uR%+3+~n?{^2lP8Z}Oa`&EaSIM&AQCj+&2TZFfqKa}$vc$E{G z1y5p_Z%i}^Ad@z8rw2Oapl@vAA}i(wI;Jy6G9INtxji%Wk>i1&YGAAJ*SQ4JxEVdt zYVv@p^UaUK8ABu~IsW5qeF3;Ez3_=2^FxqEK6Ejy5dPMOFID_Zf}&;z!_H$xpxSgO zHGn1!$k^Dp@3$0#0Now0Ozg9|_wn%~AMqkEtogM(_9+auO(PvT8_Hq9KBO)3V;1(c zaGk7p6bez5aCkB<2+tYVKlLai!g;enXPKBpxFc6rDaRTH)?Bi3Tu&n)>9)U&U9~%C z%wDD}X}5wf&O5h5RkLu;e|M6RVloc#gj3z^V8O=o}OJ#3T_4%4`nxO$~S-MajrosGkEZiq)Y{gwx@+_++=| z-Bj4huMj1DfOE5lC1)CZQ=q5oz~^>8?B^jz9)dBUkX2c@5xOY`?4y%xdN`Mq7v`{c zNvig{5C7-ijGpK;kx;^Qu}n)b;6cnchu$?$S0G{lKFDzjpP&WeFqHTke~V;u2@BM!RsUm^P>xs^bOl7t^YNJ$_Qx0-#%Ep!0MR!kdPzinoya*7c^G1EO3c@ZISg@MC(iYEDqfk+Y(Bt!f|~2- zuqud%2-2m=xF9Kc=R)~V1N0sF)%Un*g08&b@sMsUSk`ua^4iiLy`Oh_r1;$ku4gw7 zEJ{0|qT9dd84HZjv*Rig`v+X$0UOiJtY;=LB=&vJ<6jmiFG|`eBu5u@uq>O;8*3@&dNu}v6uA!DS4c<7MZ*k=ooXZysKwE$5xuZzSs zg)7{_wS@Uyd6@=q4t_e5+l=!*+x@qsK5@XaTiMh0oV+kScldYOAt#Wp8aYuqXAdbp zF=ldxHmF2D+0IMM1}gH`v&3oK(B6p{vlEBtkWr!0k4FW{!0kl4E~;V)l5%479w(fU z+pBkMjP91uRm;MdPws%?ix$Us*w&azJImn&W>j z?t|6DVAjbes_4W}tA)Lo5*)dCa->)+2*tlTl3ae$5}8-lDc07Tfqc(jNgFQ@#PUV< zX+@L=3ce+Cc7|3S%7&SzqIWrf0{YrJ_frQX7T2E7liH&No4(sY)1D}OXhZHgtv+I) ze$?&q!xerw@C+1I`XVYt%AR*-?kIn^Bu&V=26|qk|LT>C8!$g3yKu!d5VfXRIQ|(i zfmaRXYsS1PMbT5sCo0D z-SRZP51*ze!SjrF11l%@dOnrIE~)?AQG z0?UCzyc&p`JZ|7)w<8Ms*qOaB=z-poP~1=5=7Xfj3!G2VEztF{gVW#rz0qLU_}|ah zz0qH$xh69jKm6}I-XBBdiC)`S`oV@!48Lfi56sS}+YI<$1@&duY-}WoFQ=SD9U~-7!FzY8ZY0}48YuMq0d?MIKRV=8;yy9;IN})Bj^?Zdyn=X z-TIXU9ozq&_xD*t3S|Ym#DW{#-_-UFd5U{N(V7c<5>YUi-smAL5d-g4DhiKW#(4sT z=NpXyp`g`NX!fNi1eiUf{J&EtLT&yJ!F!q3|9PtkzbWCtBYa7OSA*cM6P#Xx=SXnB z2tEwK5g_`eL@$ZRuM;^(A`e6CO^NwBF^3`U>%_S(JCM})&n5&OB$O!rQ*wd>tE&eb zAr2^VUg_-Mo^O-3q_SZbK38O!6KD4Z!)uB2BI~nRKyPiZ_h?umG`!g8+Qfdof!vL| zXCwZPZ)ARrX)FwyXMESW9n!%4_5)U7WgoEbkD4mm@__-)76@5u-2I$7*@5p7uRYbTb{@Kl zGzy=b)&FM+P14056N570pBy>=UCbl2iSbuf$;LTfUv#w<_cXo7=O*uJ;@s=K>OmL0 z-#q%o-9+3c7*7AmZT;$N0W`NBl#t7Lf=)_=|K??!+hF3&(`&Vd2&Gp6IxZ1#+nigP zUl;qSe)leQlUhSG<9UvEIG-N!fYxLcrWS7uW`k|Z1g){XUtoY_qAlXE1dzGEkDFm_Xk2n z=8SQzei-c6$?)C6oC8DFHQH4E&lW`hi*<+hy`^&i#Zz%v@|ep?HhNuvn;dSOy35g^5(+C#odWY`eSeC1^x4`c!45q}hn(52(5Y|J>9-kU%sv}v!8CLi9pH3u&4$i1A&ea;dp;x<06Fsj1>Z&;R9KnytDH`({oJ`Q+(idCHuj|9bES=aT} z^g+J-r>%>vBe+Ot-yO$%GJ8RT#ErTbC~cHck6_J!%R~Q$uM1efEm<+Vln$#tro`>?I!$FweEZ^F@(YpIvEoN5O~VQD?!63jwh0 zP8*Ur<^}TXxp&|91*74Lx^cCaZm6Ondb;aTI505`o2^#jK8Mxa#Q^^>;QTc*I9!kn zszn!n=k@J}9KT0Z_a;S=)v1dUk(@fv!_sKmVs8T{_j~R1-ok!aU#gMW`w_6-IW+0p z8Hss3dN)MgV-B*zc4Vwd2=Y?OI21GM4|BF2ow9aGAn<1XoKsI22yIcklKbL?=U#6X z-|Y?n-Zh$iS2Ysh#L8k*{DEkYTo|O){)hh_)>J1+abNmZ;%&W=cfmlfcJSCKyC`^; zY4JsOn7fMu;jJe8ri2HN@Ffvm4T8T;aC!-zBfoxij)CET-C9Qv;CFZKhh0hA{&3ptP+i?) zeBP{oz0vmODB?DDzbXF@_qB&wbK|;vz;uU0(BqOfO7jW+V>u;@%pN@d*>O7tP6qXi zeRFk3?H_g7Lu$f+g1a%V!st9mk#7s$zY`5B!{RY_WZj{5pt*aZIt9+i?yjU5 z|MrQG9VI@X#OT?*_gNB5Sy1P`IN=UI{S7GC7Rywif36;o_{|@#ZB8^F!F!Ogm2)d@HL7sCEBujk zBFk`I)vHwq7IBlJW8FSrM;=Y8b;B)S` z+Kqd??&znd?WF+@%mc6~TfUNn^Dj4UX?*E*f`!@Mc-~#uXFbNVLNgE#s{&(of^ZCA3opf;Be`EAnxj#6BURu5I%^qp!yi|BzVhshOeq0{LX;3m| zbn{hO641~zk)1Y6g3mXZiyP|j{q_NSgiux*Xgm_R;)3rZhp)z#c`JkiV~I@1{T?%< z`r?W~DfVt(iD^?hgMSZ?iH~_)YSD#~3+?$dIG=jrM#I7=zGu`9k`nU?v+tU!iez#BD#+k~iH;BCZ3h1| z+M5QnjvDP{83EAI(Xws8;17xi?e-dAF94oUU&NW(u`Bvs@PFsKOJ7%W!iq7%(J-%T+c98gl4hep9Swg|Hm&G(nV}V$a*nDr z%(e5LrH)%mhkI$k(hPq};Co^#*Jc9t%su+xaJI4pDw%zQ6HXohx;f@|hsq7Wy{@5U z-&=n$a6OgfmW?^15hvt|<-CEEL%VfRC=)I^`Z3Mh;JKxu*+t)^d_1qMO3GvPLmxA) zTiWc+1wGYAbW^``!6VE#@9bCnd5Or|dnz#rB-_LakLoADxtoUdq&LbyuzK7pr#l5W zEr04ixSa)6mmb~D{Z#=k&WWmcmUnk}; z#C@GO*Y(0jFTTvc^Io!A)ztvZIo+`zyHXth^YxC~KC+oGKtm36S{0!CTEBmkq6oBu z-*K~GPgu+2o;^$%`M~J4_L@2%2}I*Aa4FE2fy7&Sg+m50pp;@vmf95ymF!HSE9v22 zA95lr~V+LW#`4wjVLft^g==b*c-9XDcbRf3mt6oNIgE94v%_n-#L(C z0J|sKJG6^E5f96Y;W{aMI3IQ-F5_Vt#LZl@qto(6o<2&KBXJM$krPuFIae4sS=q5$ zx95O9!*jmf?6}_<@PZ;cEE7(NXm{Kaa))0!!`V#xW1x4dbPpeQ7CfrUT#`7H0I&So zelXy9Yt6A{nw=Zjka5&M_jQydD6GXQ7qwyETH`U#9fm}(q-QOUVabK@t43iR5(e<= zA@x$jfjppVDDml+h=ZNS1(*3EA|UHeaQ+wEXPWGdlUMzg3BtlW2RYm_VbA$l|L1n) zFf)AJCuKekZcA?zTt0;TCu>ug)mcekY+(QX+GaNVeaQ2@{YE$lNZU$pa74h;iu>O; zwwRm$XK>fQYTU1Fd8?|9&xbK_8?lfX%-{XXORs%>Kdd>vVJ^Y^P5V7`XSTd-QSsyF zbLXe<=i(?B8u@ye+=i zGyTERNJH(LB!t!b^3H4dfQ3*BHC1T|xQjApG0o(`T~V`W({tspn@YpJbm%g4jI^HK zIfH$IC3T@?VFhr@?XOVZB<5|jrmGfn1!E85XBq7?8IX76P*?Gn1W0?S8;ts9%%xE7N)!85wBtK=@oC{;h;RDC< z-pIQ>Mx<7-90JdmZYH^5j`p9ab6rdL|4l`MMzGNr9X_)uyN>yD#C%3_%2%jpnigiv zCndk^M8dk@z{z^GAn=Q>j8Zykgih%i`@1jr0#9Gw!|7VgcZrKgpWMlTo}Wn{74V+a z_5MS~$=i58CHu@+jpPW#iPh~PxuyqfvRic1);LG-xN*dbDH!HhJB~jz#W{}M?{9S+ zO#+v~hW(eYA7%1YqtOT4;|lgkk0A{=L*D6C`}Jzm;7n)yf;aBbP3TR26$y@l>7H#m zL$f#t{!N?sk~tE5)JFCll*|RWBYq3U2>0i!!dqwGV;)zdx7g>=8h9Kk*9(~}D3z%XXjHKE}1pSPOun-U&8!k0vNH3*jrct5hv81t{Pa2&_{;8w zkf-E=K|QYtn|KiXs!d;;d=&vowQOhgj`+j8Rx)X^T0F#PsAo;Rc7zwy6c2S5BA{W4 z{A2W+TsU4Yt@7;;6Ke6N{4C_006k~<4xUx#ME3r7N&lWULq)CfKP)ergNkJLZbOcI zcz*xcToPQj0tTNZtuOTzKdUoBD1=GXiPwd-=Nkfte(nOH&uBZ%Tl@bA=3v zBX)4>Wd7}cyFy^A;^O{#d|q#AM(89Rih$=ed?Qcr9L1)@*Z%B4GU#2N(c}uZhDs3z zW((2;U>&8q7`TStmCGB-yT#KW{OU8(;b40>^qcO1Oa%6Mh@6if3C(2Xnmse21SG(m*jNh`sE27D(bZ z+G=VfbTqDxILoF%WXW##4cj<)DRiG|7oOW4Ubl>FeHIRXsX`ZI1Fgbu{{5qvPmpeI-iPm7n$~By;vaaz zZK}O?Iyo|sL@s>cqagfd40UjFi z^k1*f1xCpu5jA6&)54Xh{VyR1zhn2g2=`(ByNzGKd(2_F+*>VAVOa=j`;C#`JWi@S}g-IUIEJaK(l-+L&OT-V=Qi|eo)DP zR|mfo=3a0_Cx;rUYR*OdcfQx#+K5s%YeDtkRX2BJ3*}rC%oABwfQwz@cMVJ+ysP(2 z#hNGhtTk;0|bK^-TK1KnR^IWsN8tzfty%%kHGYY&fSbh`vw*E~w{Jr3SD5VqNMdrMU@wO)He_EiWaM%+3#O|$eeGUPZc6ies6bKBu?kz~m z7i>hlC|>ZoN&7=j}}^i7Fg z5|Ljga*jkEhS-}D^L1hlL)_PibA3;IBkh8R9q3agjqJYS21uah*U9;KxH58u)Lb?k zH&YRyWU{XxC|zR=SN0E@O)dWhb&_z8WyND{|>hwLA`9lGdUiCu+FYw z`3`i@#OaH9^;#mRAbHMF_@g1L54_bM_#O*?DwACI%SocTbL3LTYQsP|MN*vt?_D_< zsq}o?f`D7}8EsCXKbZ9wHhJW^L-Meb$rD2(VA}p0t2|->52w8wk8XKF{ITd}!)*hw z3h9bCjpq&eVGT8JFh^7UL5wxy7jqb2Pk$zNB@hxPL}f`9JmJ$W>_EYMh3ET*F7;lL zLh~tl2g2Jh`f~CMU2Taal-&~L-sjCE{ zX@~tksQUmGHPn(mHwL#Ac}W}h24hl6Hm;o{Ihd$RNn>XC##s0SB&8I;KP@y_LpJcgl4*(Rv^$LL$L^%P$=T` zTt!p?Frt1?rlmt4xP$6Sv0xB7cUSRfl0-thZ-mX|q9Aa8N5Os?=a!sFRW0t38H1I9 zU{y1Afk_ugc@?Y;NjTPRAQD=CVsQjtnU zB!!A7@jJhd$LG3#{nsD&Bi+5<=XGAk@p?U<;GI!%#buQQ=-0}Lqw3t@s>j)-8U0A` zw2U_HFIU98&iA{K&<4N(M#9`39u(#OY>Hxw)+*lW-3fu|l_dl~1 z4T1?A3L~Lv;G57N@?PEnNCxHz4^b~^YVP2OXs0cFm3%b4c_j(Lzdm|@BPSYKpCzB4 zAGCtVuV3``xdPy_DYIp5Z4gv23(=n<34)VK2X)u`)e3 z_&F>thmjh{zZ(dS5lNAVxchJ=;fXUtbifvC0bcE~Yhw5MhyrsSF z&0cgv^Ut5Tov7!%R#@{Qv@imF&o=6N^E1KlS#;)B4w{n)zAiY(UxYZ!9G6|}6R}4; z3XvkO(||X$)Ux|u5$GOvCo<2-fOPZpxwp}=5W-PU>>8T{TaJ43DZVAZ^wE5=fHn&V zY~Le!go?nTu(_U0p$xJ;I8IIVpx*gbu-N6GEa>A5<8;%@MY(xh$&H2_D2tS{kz-1R z+^`^u(|!bS%~3V=LVhB`1x+2>?}#(K-*xW}e?Gjo7L2xJ_Q&*(?AdsPdc)kI_N=EU zFW9utJhb;9A3~~ILYTQTfLn}r*+(ewv9Y5FOY68~&w3L8EO}G+KeF@|jE!(>2B96^0 zb*R&!3TV(W7gc_o3Y9~qO&)f!FmS;}w!O6+{(=y*(UBNPb;#zNY)OQfyqfOWE*%s{V8SYA}$7eDyh)8xQMLIjnsoWgztZ#al5S5iIL!@1c6+oj>NSS2$lq zfLcwd`1|75F|v2{$|I|^plaghTV#f~DCZ}MW4?!DzwP7NMM-O7hdtLMT4h z&XC6(1H2ty9ud;AL6P4=rPjb2V{YoXeGqx=Z7;Q#$9KiU;+dXfooU5jx}hK6i1J)! z8to7Kb28zP;Ic-2YZ5g3`+Q&IOGft_ofvDr5^(K{{Wyc(*Hs>TnA3JD1UW~u{ZiL* z(AZb?iQA2bD_0x7CL6{;=w@2$=CL5qJ?OT20nJ4ORgN4ZFd`oj!_|9-WY8Ws)zw%H zc~2jTr)ayj<-mu@5e{#PVo+M!n(kdnhVgUj7K;ip*uvjsn%Kw)Q0-JM$@YoBIH~!6 zHy=U#$1=N1i)Vc?Af0{n${-ic{E(ae5QumpNn;$9`w>`@_@>+PQamUPXHni635GkW z!S8Rx#DkBF=+6Vmg&@dcAZX560PD4^XL$k$a59JWoPsRkNiyhNCPCc3?=SYVIW02b zVynTzl1dsJNN(WmGt7gD1J^$eMwWufUDco&;Ur8vX4*-sE(N|n+T2k#Li2pH0h7O( zF);M+_Lz#h9UPenrgtqU1|h-f*A3{opU4=>@}BrArhhDdM&U#$6mhuhi@h(0ArscA zbmWH;-|!d|E%CsdemTeu$D_Q^-uyF`jB?Pr#oT<~2yqDpjVl9{O95ji&N<&1g2^w| zxO(gsL%`qeqq}ZppyYltwf_{#Rgco0{%~0di?|m%6N~P@*J{t67e?<_*+TtGbw<7* z^8*B(nB_ zFskx>_88M?@btcDZI1F8cUHbNRME%4ux(&HU#)eU}4kyxlxoB2qY zPy|;}2ZrP?WPwMDY;`g6_#V%^z$nsC2HU^LPx00uehf*OjDC6vyyBi{esmOhLV8pb zrV-bm>%ON0Q*#*%$~rctsiwlm7FwcrapiD9>44jIKn%v{@M!l2UFv`5`*h9yPGtcP zxccew_e;;wJ>T)vMyCeayPbV1@?q2+CKw)nF5b)o=0U-K%b!XhzSCxOP_-FcO}-wp z@NR&qXs?%^Y|ZdyYWULHpfbFm;sP3FFE~P3ZaSrw1UwFosT9&#@YJI%p(Y;ra;Sc# zJxwhKhVSW*&-2tFUU#PqEpH8|h4)}D6?`y{8(ndwLA7xA&3TqDN2{S-Vq#w4X(5c- zgi+457oz8nt*z;F90jIn}gXCzQ=>r)amc6C${o3gCvp4Nvs57tD^DY|n zTM9icyvcypH@Cx+@~c50?}_F@UnTIEN+0$*Pyz2o|F#LlD* z0yMYV{%0{>168xlAsTbNcPu z2Wz2Bq4aL6ks^kBt8u?6?!i0oKVK5=)xi1dIHwoqIpW+eoDYL@1n|Bo-b=#s>v+x) z&%@w*Q+&RT&tdTUI)1L#Ik06-S#-cCS3~X}fqGcn4r^oXYXuS3F~-9DM&Na}OY%eK z<7bao9qvKRz)DHxyMX2;;g6LTg_d(*-16PO5tZu@q<@D0PjU&+{8dR!9!7hsdw+FQ zg)`yq2N4$rlNQ)DJfAj2kil47q!k11qW;9aHnsPix)`ND?MsqoJ4|-$j7{PO^7fgX z^k4P70atQUw;8!YurnMa*5W^FptQVdSfLG_S98gahS9w8rHBN@sAmP-3syPTM^ysG z_dX;tTSh=lFr~r4xipY^I5kLHQ3?@0^SimoU!vk#OIA5p3e_#yq)`{EVDsq}il&zY zm^=9LTDW%wNZ+_6CL>$`qSgLF@g7xhnL)dA9pwYEOJ~`g_G;iWt&MDYS_T*_i+~tq z0;Fu5vFo<22gQ=m$+wrPU_ECBJYU+Wt zeB+WO@}v(@FbVL#48+t2yE4QqtAYJ%ThNb>PT1qVXH9D4H6Xg4MsM=F3?`4~6ZsI= z!prCgAY4Yl{s&4J^+bj2nVC^xFu-gadv z4|*4J`TT6_pz**pOcr@b^8Tql+4C=kt+;s$f&=p8ncQ968jy!fy#V{ROKCv5G#2rm z#ve-L)TA?Vn}Bd=QuOE!;tr>0X44_RS@p}Ub@+++c>WD@E}0ns($3}ei|wE?p6X_G?m6H;n|bn&e)k&=uo`vSOQExp|*H>Boc()y(0amTL9BvC#d=eCk?_JE5oob}SsmiErhCIL}FuJmpL{$8&O4gcR*ZwhcA+%4%VK zXhS`yI|uQdQk%~f6+`?Rx7bzD2I!Wb*B)1k1)A=oZ{wE`&n!OXT0}<~s68Vt&-zph znf4mt3L$xry=8kxDk>H3sru?>wdF%*WQKmgYyvd*vJ|$AmxG8XuNSip8JfE(e-u$o zhrUCfC6DyRKvuos^h7E0E8gGYOk+WNMr%*aPfyE1K|@z_z1SQ3`?R+BpnchY-fG-$ zihJ;IU($bGjsNl2aZWGJbHuq{I3EV*2;hBFyqARM*YTVqo`=ErrucjvpTpqyb^Kg^ zEvixWY`zNKj1}?`t<}M$tdGmxyJgTuT_$tcBNH+Xl}x*6*TTG%t-elUD!gQ8+=xQG znlMTVPqB#%n0e~(V#>4taXh)HGYbM>Yf$Qw2-@=`Ypsf?HP^xp?;R6P4;tVY+?>!mN=j+-JMykKJ!m#2Dxq_DzrO4BI zo&8E~B;4^XlkM95KcBRAR?)#6V4&8SHEk~e$Drv8Ci;QE&sBUhFeVkk^Y3wKvzCJD ziZkaMbWUz5og=J7Wr3wt*1v3r5;$8e|6D%`d9e&L1me-pL*yq*qJ`$mn<8sDKIr{r zmE19WNyQliAKh-bal91HHXMGvJ)Q=i8i)0`mJ+~ph`2ZHcNLg1RH@gO7J|fL-_YdI zBA9>sa9ib79jq#9RVs9*L+ z6-NDE-y+>Fw-exZ&0Fd3s|8?mZtO2{dja^bDYde(<$(#`DMeLd8O&pPoy|?I01OUC ziln1F^rd}svpL^vm~kPP|H!1rayn?gDeqLkA>!p1y5xxKMieD>U@#mb2&PXxLFA~LKhA9Rw6LBg0N@Ly3*mf^2`Gf z`%G|p|E9=KJstUITkf->UhpTrR&xJC#o#pX;$Pznbl&$S9}cT0!*sN`qR-1$Lf&Nh zwM^=2DE44)FBr;0{?5gURF~t}`6I#P?6N4Y72IwXeYXZ~vVJSr<*S4fg>_y=m+Rmk zx1RE#u0B>lpT9G9yBO_(PDO1;S3%)B@~KZ~FZqj|q5O_*I0RTc8J8a@f*PjWa{f=K z$3-f0_KqLoRkP8K3BSun_u+OMQb8xUr0Onw9Q7;vhGNuht1H1Za>exaY5<(oIHEfH zFdOLeHum`aDeJ0+!GEM!8-U+ztA^#<6=?+!ViRRg9)BW6WT*$}R;^ea}N9Ng_U zDV^*qVbzcRh$FfezjvvXIOtLb`>UqvJ^ML89o8K+_p%b~eCPPzPefr`FG{J)@1uRy z|9%}1UU{l|!w!>iY+u;2&jK?JwL8v>X>gf(y^$-=1v6uPomPY9Hhd!II5rWttlIMY zEt>vDu*s7v9xJVZp4hwFCWJH9#YkkpqpgKLL z6jBujMJ3L+y@_j}&DtQpU%(3sKD%sn7u}yuUe_$bWIF!yR^xtC+=GYvl5npE&R@ql zy*SSi=YHXQ7@Q-3_f7F$5}sejbB=f(2H%_F^L2aDa&MdzSxD;H730D2=ghdJ-Xj^u3Rvr_mgN(Vh8ISuY=6$*sKg+CTLu_on+Nf0dbT<>J^%KaI#8-;??B>===MMT_?H{ z;+HL=RRewCXC=pjEt6948FQk!(3A&R>;ozL#MNM@*sW*-w8*_ic*VQ-7G~ zv%ptJS}QIw1w5lDqM6w1!R3^$bhcXs>T!w-<|LLO&Vll~%=8xM%Nq^)eJuxErnuW4 z_Mv&wRnJUu#DkpEbG^rtPzk3mw|^QKM_vpGB6Vt%kIQ6!$mPVF2IpQn4msQ{1@~a* zo!RGz%PJYe-Y-)E1d|9+N3q`fgiWOJDO;RV1*+s7q!E)fXZT9rr=&K>__NP{Se58H|;}>LM{XtxH4V1 z#Zv~5@uc=xY63`5N}QcgP=$*mO-i&;HPGIo<}KJ&hx|!l=Vbqt!1GhyK?h|F;C`Xe zhQ)LgJW-o|sEY3IOjkNz%&XUc@ru^1oY7_orL4a>a9aUh&JV6p(N!S6=jJ0ywmLZ2 zd?(0~5#_?}VG0>x@sO}yDLXuYK7R)ad&@=9x&J)4{iP|Izdi7uA4GYvH-+j-u-IrB84zt^>Z2b#n4x$yj=kMI=gk)OS~M_ng~ILF~an~{Z8pcqi8-G3Op4?hs8 zS4Uh~&I`pEQlzy2H(wnRZ6shP=qrhDkN^MsdleSJw>@Iu(rtG59c!YEgUE?%;2OwWVaR$K3;)JXMpjz_>1P!OwBOnQr=H74;?sq| ze~xi5*Q6QT-aP;OgFW^?Z*|cB{HC}E5BDYEUJabTj&pi(o+Hlv!uc>bM*#1e;=Lq1 zzmDe|@jMK^H^t}c_#6hmujA+XoCs(biPZpQ5uMtH<}B#l`millUImX<^tWE2dG8{r zWXX3lAANA`8b^aT>JQU#+hwt2!EtKAg|I)ikkT80d~ztKz8b7TgWlg6o#U*^ImNM{ zJwvh)mO`jDUG`oBZ%pc(Nt#}X2-G^)1ZhZx0dKx$xK~0wke#Z_>=JXpK6by89Aqd5 zZtBuK36w8X{Or`=zk%|2JufRh+ZRIRZ}(`0npD&eeJNU_76^AzI63O0qkyz1JRyD% z)IQI< zhj}n^!~3b_stL9}#XMs^hR&lWvX*HY$m{WsEJ#?i8$jHUM2pA!M-!UDaLhtdI+2)Tlu@X4H>cVjBcOfuS{HU^;N8F9$ z#hX@_k=Im+0;)Shf%ypCq-IPeI5bfx2<}8d*7A?%918i6Ywv0G-0uu_V)Z7WRizrf zpZKVnN#+3`1|&bdEzSaU*HNhgs!))-{%@=2L?u|aYEZJ>D+U(rC9g>V8|?b=)amfY$aSe`F zDo4`ckJ={F*1dADd(*+GCmDar|IBCf^p#Z`}M*Uu#j{=fsPLW0HQ4mA< zC^iA@(dwfGgh-mw;o9Mzq`I3?aG%9hK&T3F(gQv`4h#+e9#$>R-Lg1{3UOXT2X9c~Hn#j9X0mWZC$&Vc?gb!yDRu2!? zK-#t0*#!DX*snVp=#BEIc@!~{f7pxQ=*;IAzaC}7U=$6vgkdJsmdM5?*`~lw*!Hg6 zy9{VwbYtK}xt&&~-0%?t)E{~@$nre#D!gyzlznn38S)RkxbfY!3=p*}xlGs?6IoCf z-lori@b_HZ^vlUGV6VjYTI(z{d;_d2 zzP9?HdDMmU)YX!WY@n7qHPkO3iE>^4AS$&1XdmSa#vQ4Ip32wlfiY2VXU9t43_T~e zJb#N1{LO->&qfh-ow;zUktVR}Zw=h4RiLzWLEkr$1A|8fbHTgOpKgOv3+s@v7tXZ& z|MPdwCbma6^z=Z-+l14!JQ8laQ0Y{^7X&pGqP)&>Dsc9j`8(#T;n4OXN%!;Fc%UO; zPv4-=g~&gm@2`Hy1fB-+!&Q%SV68lasZX6AjGTAe&K)&}sf(%KOb_^h@q#?jrf3)( zvnX-DWMl!~BxXM<9!v!NfduD;jSL8}F3zheMtly&uIo0ON|;dZ&fC){uhnEgeS~2l z1wL^v1sL;`fTch(1> z@9&iZj2TOGe&EkhN1M&y-?7Qbc!c z?Pv_-4%IE!e~5yq!aG0SKFt8XsYJ_JaVNwhAuf)Sh=od~uJn*A!cf>qT765<8CXQu z>)2CquJz`URf!K?roEN(hq@7T3ezH)c?i3 z)wtgj_u%2aB;2ck^Ve}sFV1tsxnDRR2ImOieN()bgy+}soFkrx!S|;4d>x;|;P-X> zTvtqyx@++hd3a9epRU-+fv`A(g0zSbpkErEqeJ|P0(mv2@5k%*?g&*`FFPw39 z`{!b6#BF~X>k#zF5xT!V;ju>l-Z2T1dgI6AU_UC1Y@ja?y^mh?;wXwmc>}426zgPg z8~7z?CFTlmL}Z(zI1-^_Jq0tQAwcdvlF)@D1N&!1^EkwBI&op_U6U#5d#!m=Z#j8a%kOE&8m``I#XwGsxWm+F4GYn2mtjJ$s$R4x#Wg-o@yfN+_84@_w@9ii3V1x(=#| zaNu=i46sBVMM9at-P~+ipomm~3AGG3Owv!yNh1bYIXBmqePhABApQ5B8+O13ni8tS zS#aPqpK<%mRN&zt{N|PtU8PEbFVigZ zlV7udHNS&GLU#gpFnM1MrkT)#pF_CW$Z%W-7zFPaj z$3<94NX$mPgr^T{3Q{1RUs~y(Y#z`Vjf#-}HUrCBOo~r=biz6oSWX9Ts-vFs`Gmbq)+E%&+teh;d{BoEj_Rw$ z=;s%t>eSY9L>?@r*@K@c#lc0UK~v~U3Q(Utjd6x zW|I|ocBH;_+Rg#B{^v||e9rK2L5(H)UNBtYId?x>I2E`)P$Whs1%dyH<$a4Ag}}hE z=Na%b8}9MTSbR0S4%mgy+n%LF^E$sd}1DL`aj z#~&2$jrChrS;w4>g-ma97FCWSI5e|#_uNE1SoAMYoF=J;Ul%h;?91yR^1~0(BYMif zT+!F7L1_-Ix{J;JCebjJ@Olxun*wxner2(y==n+|6BvYY2f5U=NiXcGfI;Ko_#LWh z(4$^cen=LLEnZ(^SsAT>NL_>3*U44zJ3YBY{a^u{I3X^_PLm5C6$hQN<8weE|1a^= zjt2O*t7Yv*(*n0ja2BtL zZJ8|xr_MKzX(Wmu!!_Av;$jwTylphgP(*p1(8vdqE@@EU@7^7mSOrF5BuvekmTD3<9<`zgNOT)aIXf=U&lGUIL{I1 ze&Ku=oFjnuP4Qk5o?pjvj(8ph-<#s|b$kwk-`DYT{p<&7=ieC(K;H4o^fCJ0tm^x= zP)TIN9e&@S)B%*|ZJ5k+k0^%vz>O7g+Yor2wW3#Pjpohgzliw1XaL4jyZ4GG&tl>} zN&%`JMet-qH8VkjO}V?FObKzaJKwh-R;GT7;3^UIB_We_`p zNj z6FJ~OW~*oXI1|Fdcg|=Zh=iz-uA2mxQdk<*E~?y*2gQSIVGJfmUa*76QuuRBZ5{!gvSKf^>htxyHMA+-`UuX|5r)uzG(?~K%PAdnF0qJD&)!@R zk_IYS{Jo^tDxtG@_xc;e;aHhwSg_=2frT>|uZ$I%cL@|xEDz_xgkIebVGXob?b4d$3|c#BCx2<693N^3~#aj@<#XWCyYcE5;Zy)@j$?9(KHw6=88I6beRA)-`tt@ zm@+_nSti*Z@$ufeJPLjFA{{g$Fy8_OLEt>3Myf)s3=f$yeVG2ZLP`O->6c|+xM^~z zoW0!zWJPt4-Fb(2m(oQvBb^D5J##^VlNx!ndm4p}zyo{xw0uw10C6LDFJsTf62a0| z>3lQF!}}&o-=NP4hJ2m|u8`eO(0=xJOu!0#jxOsVC}{*to)L{bJsb_APlm>0u4O~f z%gY~lSX>|}SAg;XQwTJYO~vjcqMx^{StO_@7UqUimCvES&jr=@z14^Pp^4NXw4{ju z3=h<$Lns0O6CEK6yqW;stgiBOzKi#NI?x2G=Z8SU;iiaEA6Fo>zM)Gv6bcM4!xj7H z+~H_`m@W%h0u1`L^IGg*!!9t5nq5ZxIk`qQJp+bZ2os=jzOE7iDntVmclTm}=gFnJ zJ&)YMpUe7=s)VetDpey#^RsiI9m`S74BzVo}f!SFlf?9uQ9Umzmmt4jPuK>YZ{kaz)e zxQ>{rwB#&3cHxVYacW>x?bhRYt%3 zU;r88JDHwh$jANhJt?h~9cC$IL{)n%9_AR$YKp(O!533|!OvwVAHT355Lyuqb3idv ztR4$?XDp9q(xd*IpXVF};=~C1efV`nEDp{Hp8aRo6NdaJopU2P*I}39c*w2Cad0u| z=+Mj7%itoZIFpR>!0$E2t+^0S)_a>KzgHgdPrjuQQ!yO}kCu?&c-eR`dOfs3s~d#) z7Bt?)GMswQS}{cv1dlt<_3cK+!HENhex6W>LO#3A-U4mpcL^%IKpTcUxNbp5A%m*9*UH0-VFlp$Y=lR@T_+z>d&rrzD=77Te_Bg2e6P7s~`A+3Nq z23&ht+@Ixp0$CvS=+((%n5)DlNxM)IaOn~Kic(93FFgsHTZROf_N9FxGP$hq&wPCU zdXEjPsQcx0pU42o;x}L=nG6D{((EN@o^)iZUec(Q5$lLtPi%h>4No0aRd&$5lGG~I z{QtNrA-Nlyb=oe7Uq06D^E?JbPMKHz(+CEQ6M?KOYW^Vgg=fXxJ{sC8?a9bmuA&}R zsZEZ51km`HY^@d|F4M;2h&M{s@ay*b>rc7SJyp}Gn(*BVJSx8{js|eS{<5HIpdR95 zi%y$_McIK*a`TOuP?V3EGc8-MK>eIuBb&dp{*avY;|djh9Nb^}bx7%I2;_AUnccTQ zeY7{O9MT6-UV-E0UjgG#AbzniW1$}p(&Sd{kM)zFb$%)1?45Y%x?P;_6o>lOS96!X zGDShDU*4u5nnx{|IL$84xM167Vl*lchva|9JCW$8=J^#}BkWAC?A;Ybg1sqlS6*a@=Q8qh_EKz} z+mQl!)9;5(snoz@TE)~u#S5%=Coev<2>`vRA0Ye22{yyMy~IOf;r|*)UdVSQc~C7Y zojMKXw?;;8xw>M#=KRX`$md>{?%C^(=9Ag?^}2$1hCi)r~s!i9J$xvlg_nDy{d zt*6e0Rn~;Eq-X*(*;87H2cg^x-&{gjYAz&hlGEzY1c1)@A^VP?2$Z82yy3#00;?f) zaf-K-;LpV;4fj;h=ly`7cV0?3B-Vd;rv5Aj{&LGF+(n=7upRG9SF}>#PP-CI*cn9- z>yB^lOACei6kC;CM{oFI))V>~aZZ-ljmVYw{UMF~YG3<-6i{)#o%P+s1atXHM~Fth zKm4(w=mzp<>QmRXXO#s5%Ze%Yl0qVk6}>Bzne~E`?}iq|Y63ugQSHU7Zs>pBYTR#% zd+=~y67JQ&`Rh2R7w0+R+%KFDgL4G%zA4^I!t?8R&JoYU;CoYizK+jf@cTM`t`AWk zrwV(3<}*avt%NhQi{C=@ui|TAJE;7j)b?D%V`h2NC2)?`XNdmWAOhs5mibT3-+#uC7HS-!SXQG z6lGxwG>gBDGFGqwg)L%f7p+975t^J(X$b;54u&jy50w8Dw-3*nLA{4SiNM6EcsTa{ zq?qaVIOzK!%zb|)2TIDkUVHmRKtXqEpJfv2MXoH=)VfE4f$z|j!}^IRxBtaUWy1&g zg~*P7jq-=0JHHuUcpy(wn4$drc*Gh0spB}0dY0Y=Esw8#jX^nvoAK}kd37514uq!1 zg5g7P>sQK#*s!zcIt%iBGm9n0Y26otPfsRHFS@27-fUe(wSx zMB{+*gIgDIsw8B7jH6AiiUI40ulr@kk-yuzdhP-*;)O|`RFtg^g_`3&|CX6Lx{UaOP2V_K1rgV=v-_ycu@IP2 z*KoW4IuZn#`p2JXg#gRX-sMaldyr&@${gW-{ms)s1@fG!1dUJbs8# z8s$CQQS;#bw*VNJ%NY2U5e*dJm`v-e0p53BF8n$|fKxo`N8^5`!GN}eKsu>8kTLnn zQY1HjOJ9H3K3lk$(sK~Z4>t_GCk_BI;T?^tbWdpE)XXQg%!Uo;*A@Y@Zg6By zbd`ZQ2Efl#XQf7gcl0$ zNzw^a>LR4rkh}kGXboI9C-`}u7hjL%i)yl3>bW;b}xT770c|Oev~Gp3MM{@L*3}# z(N&O-jb%IrK7M)KznWwZgOkp=C7ahl*86<`VLA>1&i)^j4V|MJM=&B5lvh;@{CfgD z4~~1@cl&Ob2$iHF4-P&;c^C&(ZR@-k#1FrNMRTHFGJpRK*;OYf2tH;XuV)2<0iT^v9cGPaa4HEGo0+Jaq!BlXu&DNhE^6jkgoY$IYSr zuDLL!p%)g#Z&E&@<#GuxA|@rJ`Q;}u+z;aIit$<7TfC+L2~&8poNfPG@PegAz-926E2lb^OW z!p632Q{`<7p{G~1t1jp=ME|i;_>>g~fge?5-xlT}PE>VDhd>G3jkeVJSjL8t2I;el zM8f$*T5V#}R znKQU&1BKx~r`rlbu_#G~;tT~2iv+WSQ@+pc?OVH|qlFHRZ7!$W4P306yp} zK|c9I40QvyB7t#=MB>^_0+tOI9jv?Zpv%A3kwMHIwzk>m-ZFb&>HBj6Gq!msUl;f? zhRzGLB#()sN#8YY;n{<+AH52%L} zJrmg7;48$t#E~IyxSwqRX<;Uisys7QbB+Zjvr7tRIYL0H=XX=7a1JC!bpTxu@&Km> zYfPf&r!Pa2$n}~`(9(HKKS7=YT)A>P>{I!0mG6xib1Uj`t$B}pq{xNbbKE~m?UGT> zSMjgZS}2VFlKRjqT?oe**2H63f)m%b+x3pw zFrfVDU`I(N=s5UPIfbP`-M6syXJb(i*33isLna;Vm2#Oaw1OZ!$?Lwpe=fAdKlYQI zH^-`mZsofnZs3kiK3kJ-6le&(-5YU6KiAy&MX|vsP^k<2NgA08Ur)uyoDcNE?72rj zi>Ktkg8{GdC<`<{7TH)cSV;mKah>;PP|qQNPmA^FzBjO+a!wa_h=o`gc1AkJXwcPY z@!++~faRG>XYUB2JoW#))wtgj_u%2aB;2ck^Ve}sFV1tsxnDRR2ImOieN()bgy+}s zoFkrx!S|;4d>x;|;P-X>T)(Z8yus|635!wZrKr+R_YO-=sq@r*a}hQAGxeG!OJ9peeA(Km*i3n?$Sq6^_s<-BqeZy+|@ zxxp-i`pKoeRS^o2z94yl@HJR98@kiIcmJ)&1JnFY-N0ft+#;dvxKHN-y&4m=GYzqD z{P%_1s&BKwQB=SqKqMV@L($S5@nIom9Rf zPmIrjzU-u2@Td}qzbfMZl|oAm3}abv>9E$10OTE>>oAobNArxQb;8mURt50cz4&zT zi!>;gH;kdN%Z3go$Ai;-C17*0>(5F}4Cuu;>u8|&8XCU)cB*KvN58(5D||K!aUECB zbdLK$`Ap;{4{bOwu*M#`MT>Ynx?<^th^s;&Vo~LS^3giG>tgKANx(@~TtuLt1Dl*o zk7D$Ei7A;sVYA?i#VY#0yjP5T6~p~iKdxTIGDTR=nIK-+*rnjN%MqDy@|jO7zk47i zsX;2o`y~k|zlogx7-|Pmdkm-jVo=V&HnsdUnv+jI_>y<~M;>f4oGv2MjRqO_MZOav zC|@#h%c0RC1IT&#@!YQn=r==*gLX zLZ=eIvi|pzkM*%&<$IYi7V(FLv>spemhypx^F)J69N94G7n~Hf5e6knx!fx$d{}Ah z!q(yMdBBmlsp@j75KcU2TRR8Ipqi|C!!yMg6Q;~>(G~RueVV=K7_11=`z)#l>hoaq zi?`Pi)MsIKXx3eivcYVOpG00B$N{LU9=@z!0IhldZl+#M15pQ`l|@fyh=}1(u}#l{ z8}r=q#~;LiRp)|a)Uh!5(dyK~fWDVA*0KH1ot+^;Ww7i*e=0-}b-_q~9!TCI^VuE^ zgyKur_%0+R07E=CU*3T*xLzkMd#+v(?e~*yzouUYQGwTqq<#JnF4z^bY)}kz*Apdt zHzT1acKy4sYBbp1rgeQ~l#6mAaekjwkvB#2g@@VUGL$n-K3#861RO8HF$cItiw*d`oVOZ^% z2^Qmu`2WuL)F|nVNNIa4i0<5_h)5TJ%p_dJr+zHd6xo}-u+X%DWUaUKP z(GwK9_D@rY2LopzbBz<5J1`6x{a{uJhN}bI@uoTA81qx1ntCN^7*_jp^xK>a_!T_d z_=tEk>pfmVWYdPAa4(TI9Q9f*k(J#X96G!Ow? zgONEzeF0G1c;b79tveiHR;%D)@Pax!IadP~f>P2fXI}y~C5dp&gTcu%KlJ zTW#mIfZzd+%2I0g!bGr@4H+r};ZO*(7D@|oG{&BC{wWu77g)YP=G=762Ta99vag~!w{GyZq+WT%f8J`` zZ;E^Ha9v+x)&%@w*Q+&RT&tdTUI)1Kq zk#mKpocDmrh@Wgn54wPcfsIWzQxI&4cbz#CPmU!=B_#efwShnU;fLZSY~ZQ!E4%hZ z3+&CkJC_P3k7E4q#?AAY!$7g;btLCQQ%t|2B56y^AN058JNl{tbhw%+D^|Q zk3GM+LsiLncYfhZSl+8~(mPp*i^8xAcfMJH&H1Kdq|AYEgC!6>&uzg^sdH1=%>#x` z$9jbD`9h%Wbe3eLKOB8iEBV+V0B*g=Z>mXigp$OXQBfAeZ4dkXjyED0w1n7H9}2s` z+WY#}YUGprm0#3pJERTASmbj2dk z2W+SEKK*PB1oQM$%jtd&K&O3knY~pS1T$%uovx~ZMels+@@H#oQ6akDU(OaDE2LCO zKC{9`LwN#@+Ij)|#Rjo}c$7OlL(VEas*7DY|KPF!tu?3;TJ^-+ zHAF|k*$b{*9MOD^&Vv*=GuumYZkWd7;|JdO_(9}ziT0=_b8xaM>BuZFhI(VZ@kL5? zpcDDEQtcT8t}4aim-DRQ&&}52BxwuyH+e^-9_=@@|2P)HNGLp?XCkXru!A}cVolfg z`k1kcl-bXl#t_0klvgwo0{2CDhAve31G$YrVDf-J{ERzvghj>*vmqLx-e!w}gG}{p z*{4F_jPs7C@+S}Q{!QN}+kO!fR9%SwLGKT(N7OEucsN3>)~7k~I63gYVOsEF!Ux1V zvzk0DZ*K_NH;5P8ivXdFPDgcH zPcVy~Ya136clbPybuEnm%x2RGBPV`_+V zHvKTlB)f_cdV+q*PX?$!o8P%~<#jt4k3jka9dED;J=nCcZUqCF(a4&0G$g1UtFG#a z2U`7z(az7w;Mv(jnl@*Tb?gg2>3tXtBfD=aR}>OpB^+)xMT9}c5$|#%#9QkblgV>4 z3W4u~e+p|z(_reA*21SI#Cxni+IMs_0T{K`%0EFS@Fuj-BZ4o>?oQ|)>ti+<;|~FexsDgd zLg8FA|KP7w0x&<8KRrE}3dv`)-FI{luPQ;7qT#74;NEK7Z_55Z4<7DI!o34}rNrRdT2}c~5O9#%5I|ag*D9OKlv#1BZ*-Ork z_>?-v4o-HXXkUCr#YetB9!}lfv93eCuBgY3mzx|SVER?dBqMzU>}DGt4$BLIv8SZw zr%=ykLwnOeCLZl^60%f^(7E|{<)!BH*WvIfbX#;AD))=h8sqytX%s0>+2q5Lcj@w&gn|h&Kp~wu;b;R2l zALh16`eciJ`q5!~?oT9iUL(`xB{KulK0@(658{Uj{QHz$mIzXb-^tjCQovL@vNaX` zoIRaE*AH(JfOuqSWIKWYRF-EO@1BeY?2>xC(ce(i1HbW+zZr3$8e|E_1d@PGApgxM zkqcHz+@H>=7YxTZzj|dfhCwTd!}X&>XwQ(6c4_gRHR?+=SGJGDz=STv_|k+IJYOI_ zsnjkBRh?Su6xB)4-mhI?f%dCPQgNZ#M3G?P;(l_2{tRXwV`r;&+XLFFhs@6|r$OMO zLw9Cugm)==S=a9;!&oXaQ(GnS;+sZRg!ig^_=JRdOp9Wzx$)UIL^86_xrlw%dYsBORZj5-62H&!`6nA1v+y z{h|0?X>oD?%roq1ZBSN~($9pujrWX$M7`k3W}W6&Hh-L_r{-`o!d%nWV=QEyq4>g5 zR%40z%fWLAq%vR9;pxomS~s4b2M;q#0{%Yy!FDhGY6PAWg%r7&izfl)HP(mHa&@&Qn=J#Xj;Tn14Uux z9+mtxF#JgDbis!xwCtrLweg?|E?6w@O1xDKyEF%nS_EJo3{aI073P7dNynQJyuYIV zmgUbf1n0EY z>e&`UqfBP*-Sm2}2)0Zpd|3hlxBWH?ah}YE`2$5*%^^g1s|mj;;lU$(NrYE};I9*$ zUV`UHaK8vX48ai~`lduLiO8=LIY%N7L+nk7`8qL&A@1wMxjs0y$~xA34cv@XiM-S`^(`NeKFw}2NnHxjN*@F7V%|38 zksBM%uc}}|s_12RwgX63B@Jc|R)KtoR50}`ocHvO{(CRrGW;v;eoZ=g1=_|V+>LB- zKC||&q^o=>Y>YFJojKkJrn_Xuwgq#*yoWBw0dw?}>x()I_zUnJlUDLsY9;WJ7AGD? zmw{tnxi<%O3KXfuJ)-@T0>S(NUt^&Z%L@(D!k!mG`{}Lz{y)Va7j(FLpg{`#q;BgM zkg9~V5+$=aO&2uqYfJs&PyyT-=S~XHwSq&JPbB+C)xx*3!CSr7l~7tZ_V-3c1fuNt z?)>&>Ik<28-@fjziP%qhou}VZ4yqqn#1#)!Ky#n~V+8XRAQ9X1q{S)+ypCk1bI38**el+Qss93)FADQ& zovi^qF(Ilmo>#ybP4~ZOE`eYBG%{mzP2lOBUO`TT`#@LzNRPd%hgPa+8&2G(wJsIU zzF^w`25Ud&)!5YG)(}JKxsPRFz>)lPXt5U9hqnGP2NeUGoYIFy%uybga<=hD0i1l(E2bgn0AlN%I}5Z0aPCjg64I-M(eXS%_J?@h z&~s^l&nb(G@6W()ob@dZPJz&*yqpz$Pd>q?lMpk06&zaz%XG?O zq4V5(K^>V4IHaN=#XKeUe^FEFZ#oESf-;+09|D1{bPAm0KGALHlWN!1rL12TXsha zqSwhSk5w)TAo7Fu>yzm`sOHjvU-xsk5UO1cwus?CZ$01Yd}k0teav)i6QM`YzXkcP zpBs75_M$gD^p-%{X+MJ;t#+f_z3*c^&vKx1%aWYZl_$`?E+=b~TsCxiX`AEE2O;#3 z^Y+3%RVHN7>S_q-+^ABp)KO$N1G=c?A$#_Y5V}X-BYgEb4O&YZV;$z?LYk}L**7R@ z(V~2nZ_Eh}6j1mii>K=-(pl>3p$iv5Imc&y%uwzDXNr&19m>4ut*LMs(`#Au)s0j= zwu}?c!QL~*J`+S9x*v6oYdt(Wvp6z;e<7u#hXHzn%=YaV3n9mIG;9<6$B}Bb zQ1_FQ0w`0+-ipNR1X6yLXtQ%d0KF|Tb9ZgqjaDjmhv?W+wt7|f%Itk=!@W6uA(U2k=c~rkOL{)7-V+&&4a4+ zK8L!KiK44s=f1T^FrepG7G-1=*bsfwRe74DCy*avQAdK<|oUBXs>OE6m)STJ~FaurF0JDFe*0wNqV7oxy1I*Q~Fbg+O6PG zOw)cSq4yg+5`F}|5X+{`@SN@SbyO)(5EDk0yS_<0i4#I424AkHvi_7O-DLlCrkEGq z+m~HP$4r5iI=h4_7)259L+XY|eNJ@VmW#ns+oJe`Y`g+@-Fq+>zSGurz5|x@VCOUlEg+|Aed<5l=p|uNJ z-)vqUL)RY9>mQ)zLZqF$Jw-GbP_%jS(7|6P(9R9bh8xG}QIy-P_}-2KXaPq?MCVVT zZl7Ye%J00WbnV?EuKF%DU>MYEUQ~;ATuhOcjb<-=0i^t^@0W1c+pY4^Um8;Oz7dwI12j|0hBPf zAaaP70q<>-NLhSX(BU0}8l_lnB%Zu3At_IWnm_l!mtGF^S50U7{lU{{_K*Yjst75H zj|xsZ@QEGSDwvM^+QWv(b|O9xitIwl59WVaoMb?(yBF%w_uc3n_nPl3UQy&^&NMO^ zMu!Bc!6$fu9vxvBiZQ@H&zC>UTJW=TpsfR=@B1Ak(5{{K?dzE*k!0FnM^_LBiWZ%w zk$!#x-8cN3C3~C&N$#dOs$w9FZ1>xV&d!}d(z}1kH8%4i>%xsiKPE2J`cLs%r{0GA z{s8{&r&o_4lK=bjeW-YH;FBfvIOZ@VXGcSn`;ygB%Wz=W8ZEz|V}th}(&EcFS7q^O ziT()ALw=&2^n6QG0{3o}?skqY072#bDsIEY@bbd&%v)zkVBc>fbdS;sGAlgzKK9@_ z8ixYu`-B)so3vZny5J0>Rg~u_v(kY)YW@7NmwE6l?Y@9m9M1V`EswUnHbH7qHo5D` zdH6o8lr=Gx4RpUM)KB7kn#t#Jc}z~L=ZmFhrSILGghvdM4?}PSh`uS&OCs{?M9z`O!w`E@V!lqyVTk)Wajttf^m~b}4v~;qsY)WfH9@kYuISyg8i> zwu@1x#vv2<`z_0>iZ6qgl^nE%Vw?RghQxOxVGwE?u6d;e_Zy82KNgPSJxDvHaa46G zs7Z(=edWuB-a7x&4#$0=Jb>)N=(S836QEQnDaGE2*cLD;&Vsv3Ym^@z9E2qDB69!O zToA5fT=7ecfGxX&O)D;bK%QtZewwEME|A*shGTBi2e$s>;$2Cg+)MRR@JAV>xQRp@ zyNl-|2%lt0Ps&v(SI^Tm$E` z{h3}UTy}=brJvusM-@PvZcPWzoorzET0d*b?SS~ZpP4S~%YgvZCJ*Z|d$iY3v@wq? z2guK>AK}B^H=%D#_D`_4=cEAF@ezSUQ2HD@MSUp`&~a;*7c@!G#>0L3=!HCBw-O6b zNsoforpqyZnu|d;eIlk2|NLGRd#YQWYY5>s)w)3f5intpCq7o006f1H+275_fjr5R zQSqn#aB!#fwn!n^EvN~Yru@`AJov!ns6vx%;&{ls6_4+XW}LV3Wb!|C{f8}m8~ zm%X1=If8}J<*5n0mw57G?p_Ri5#+k^$sbe9fg3^B*bD8;;6Z`E{PllMkj4<@{vGE% zv!0Y{I={&Usoi4TuM|@uj;V)E_C^eZ8Am;s!t;pnj*n70oJpV~nG{VnGyTP5%u@}w6bVi!g828J_L%*N1Sa9q5aZqqur#(3mBf6U3_2riKT4cC zsefiTmWMfS*|k2YuF0?^sK6RBoDJ;>vND_p?2yr|e=T!43IEOCUG?rTdK(6zFUN~R zI`KQGq_lfGH^~s_T5d_a6AVMDe+Bw;i^Gr?E3=cktO<~u40mn9J%by!#0;643{fKg zHTjA;TWI|>J|Mo#3kk;xzQ`1sAgM7gsyB@$==qMb!tEYC^uVBeTb$|NTkbiF{88R%%TOkPJhOe7hC2{B6;U*vioi%%><#z0F9z?BZA3^T-Uo+$@rnOR>TG`C|p0lDsHxF745CZgX_RS7O>9?_srT9P`6+{7|JV zmuVrhHSqR6qZ>Zvk5;E7N^I(Vk=d2GB~sj>7Je}cgPR%9w zI3(w#eb)nx^;cd^PqqV((SpIe=)Jg9T}Q%v$qzajh3h8rEzzI$-ABj09noLE`ZL<3 z?!dDzbT#>_B?u)ftASn;#;))r8-a@Zb@?B*Lpf@Ye}WFTrypxL*VxhTsSgeN&>B zMC8|roFkEkA@-)ke4UuX5chTBT(^vHKiFCl0xJ(@cy5olBOjK?0`XOIRCG~7llos2&(KG{7Kk6ln4Pr^_N-pjtW5_ouc$PID6T|AtDf6h$*IdeR@ z!;Q*!(SCWQ>koLK6YtY(QrHf+PesPc@KDkvM{`NdFgZLv0l4%k^$9!vh>@6&M_`7eZg+ zwEZlZ7fcD=obYAPL`>~%ZcYQ?z;cnfnthigJn9uRmF|*(6z{yb@)1KcS^DmotgJ6O z92Ix_$)pbW-2Z22&gX?DQzGWydhlS zSFs=Biq_e`()!4a=5N(vSupg475(=87Xk%E#$T^#D)c zX!pJ51E+R1C!YKl2$L6H=c@4;0whxFkP1S6)a9g%}`?K!WTI1hW~sG|3AD{u=v`C(BH z=et&IEon48z~BDSZlx}NNcvsZ)bUReWyst*sWy2Dr8amv-n&Kucgei!VrRI~(YbQ5 zH~YOo^Qy3%&WbBk*JTvU?ec*t&R_Yw)>g3Mq^qC~{LMve?|u`|=Vj z6*`EIr9{BBhxaY$&iJ6?p<>2sV%Gni?-!}*>bDaEp{(8MbJaO3q^hMa>}2kQCbU0f zlSbmb;Rad1*GE6tTPK@+TEGXKq!u{skqAKM;afZM9DJY; zlML+jA8|m&JiVy#NSH|s+_&roMSf>5K zH7ZUz;fWaxCUhyBeHDxrlph}oyBdwIHy)d{_~(b}v=P7fHDAPCKYR1xd5s9<%9a{UP!6E?*Ube9lG_> za^lY20QB^nYpw`iB-$X~d^YPAi8TLu#@7T|BN?mBKk<(l5P7YWiR4FH6w^V|TbpnO z{5UO(UM#!Aw6C^d?|wr>c&iD&DdE8*d`W~?gW#_doL++GNN~RhJ`BMTAo`|6FNw&n z6FEmB4@2xtiTOG)hav9k#JMhPs=6~U6$njN)tGbY41vDPI=7V47BL*QP?1rzgUavG z4*s4FsP4&~m!W2=FmCUoTM^@j+TstR39i#{#_n6HeRCA**eiUGt40C&w&>TNyyuN3 zxm7J|&P1US^OAi$OA+XJ>7Mq)4O-al3#IG%>y6qo8{R3fx`5}-N#_d@=14}!Er~1G z7ESM?ri|qZMb{;Ny)jzBd5aNq?~gB?(Y4p4_8Q&3D2LJR&+7^=Bsg!^$k!Q)MA;ru zY}#2PgClfaXBNT{OCx0Nc@ToKzs8H5wYNl%!*42h#>%1LGA8%QK^GXB3^N}7?v8Z0 ztWI|5YXftM(N~5N6J#%06!Q3(6=KaDyTPs$fF=h%E`C{zLf+<40`F2y(Ub!3N<9r1 zTAX}8*QV?Qm-57;s6P2XsM85KYE>)5*toCJTG$4zk8FJ8b@o6M`@~q-sofA`GZrsV z|F18OGv&w!1@L6q+4xZ{w$fhgZ`=kirSNVJ+uC#Im-VPQXbF<(A~J z9VpaAs|p*R7)t`tspvb$9>qJLf)5v?BIW&%b?bf^4;@ET|M4F6KzS5m9}$uk_Q3mY zw(RR{CH@HW>}kT>ZBfr^+ha~kGbBio#k~AR9kuni$^;*dMpB3NYaiLPN4%^nEPbCW z;A4J=?QNMzG=BZdX4Pgi5_?`b^YDNTO0J*|3&lC4_LAZ)nsH6U8d#g9aVZkfUGOeN_d`&Edc&Q{pB}JvkJo)mG#ZKalc;{8h(>d!b&vjLdm-Kk7t%ou7dWOR zP&p7Bh0Z9Bp12%ggz75HUv}~Vw9P6S`|gQBvL77x^=_CVmK1K9<$VEYG_c4)x-9^8 z*qf8^{`N-kN^^JIQ*DvfMd69N3~WdYb8}06yzgDKKgN@?-vret&(_nF+Mzu$qV`+` z;fR7)J^XdLH!6}-{WgGmX0xns6=?A})pan#1^498{=QM~lsbR>xz7HKqX<-*pR=|B`DcQ){Ig%2v5o_;G>9)qBx z`Bg~~?v1=9HQupxMgKRRAu)Wl-SDf<7N+hbOf-AzLhIt55;tKzuwLJGk~47z9*)a* zL#+J4b7Y%5^oBJ|705M=boxNR#Qn|z?8Ee@ape)O_JQXv2M0J=7UgM-_b`cd=zwh2 zmQ}91InM82AFP^^Mn`UIO~gs1(t?=HM9J^Ke+r9=vVW?`ZLuLxJSxytIQq#Lr8M#N$|} zlxMzP@z`0g>OIqY+bIuN#%)TdGGP`pp8nlr2)kbimVpaYP;vy`=K zbA?rhyz|G#Y~b3@q&Tl^1GpTLd7r7%3)t)5)JttU!%5v_-h>oa5V&t~YsS+T{PSd`gB_$Omo04tML=j- zWvnZ?B7{;1h0(0~!9{^9j;zJDc;1q4In}HT@dNg{sb5uqW$$`YGlu~f*l5l;2D(6= z&N0K+W?V?lb>ip)4HanAh)VHcU;%+jsGJSbL(faU>7IXzb7j&7locW-pi}aI3x9zj zGa!7+c1GzxZ#CgJB|Lb9FNyGK5d3w5(@XFi3GNrchaoruMBkL?B@y{`BIiitVTipc zF<&Rx zt$zvUzf6=(HnAU&O^addWb-k!6Ob4(Dsvw8mmb#hek}q|-P>kacT3|O(!3mRuQ~d0 z_-pv^J}=y-of~>g;|#5VMh;c@9V+}eUO+$w=X_J5bI1N#!mHycti7wLkqvC0$Q

HvXVD0PNP*K2~tMfNDRhpoWtJWJO#tp+Bh)5ylpb z2UHkQ){D*HEMWtf{+y)yWJ(XcU5?KRdF}%CTlU;WI}5!5OBBT=Mt>8JlLv|3daaZld5rS1t4Si=_RTvft2OmC>G0v!bs@hp}u7|ym!97Iin|oX5u~%iZLm|!&o7$K;1U^ zx`qxf&hJ42 zEjV}EpG(V6XO{(kcFt5--A)D7XraBYv%KN#sDM{&Ssv7@9J!d>QVje1m5#eVxeAQ$ zVi%O?>mcV+7ulJttFWc@=B4o$HtZpI8_sO!18Z#iN!-pP!Tp2YiZ)j=F{kwJhfHRF zP_HtT<=s~XJ$y;^?h>`|)4IX3j8VeO*q>1OMSKd)*qbZ!cc` z+d;2j!X; zVe0W^nL(UyVjtG2zo4H1kJnY*`3wsoQ~UFQXUcWpYOu66V_yi(2`!;iBJof&=We^_ zj4YZ;tv1~d(gA^pfQK(zYC%flWFtNHlioU4wvd9kMON*jKYE%IKp=`XDZ8`sKW{bR zHzhoHgfEHkY7qQ&g40Xz90~3h!G|F@0z}`G=p_;Pbt30TZk=~DfQph|Dqk!VPdRC_Q-^$M)rXpA{msSk-&y-d8H@g9t%*g))rAIxyATe*i^ z0d?!kVY-o3An3D7^*|2$2psfoO!ZcQ<4|nSyD?LA##RMpp(`!o*Ej z4%ETnvx}tTeR*(I|J+tO{yr6c%e{E~OFq=D-i?cXSqpK8j*aad$pSi=p!a8OuR;pz zU^`QC6~vF}>F7mz0ZEDQ!nL&w;2?Warg|d>^cMzhy3^-ie!OY-Rfc$=TTPh{#`AT4 z65exP-b6#`GvS$I!U6C@X7ux8oEPc+=h=K}r5fZ#pWRu+UX}gL;r>3o{t!I&dQDh3 z1`e_Ad2iTR2m6MuKb@DYf;$Q&avFgR&~uxod>H5FcmA|!MF$tb8@TWH5W26HpoVZReC{pn*}f(? zULAY9j-(z`TFqLzs4^jP`&-+Nc_~noHL9a)If1cn{0`8&S)Td(mYbz5lK!^ zaDPWsXg3I4} zV>{|C2J+59yr-S{pK%Ekzd!4HH&fW%H_+W=PBYn_FdX*%nu@7p z9g4VKu$Ri1_@XcNUFUaaNx|}%_}bCoATKzZB5 z7Ty(wtcp*WbTX1cYS|J!If3}IQ$2}}vmV^3% z9YM(S*GIkj=xB5)*?V`46I-BKo92TRypze?Vg9- z>*sjBw9BevmHtyWIyqDu>3BXI<%y{Zzjv`l=fg9d-nj{&B~SjP%nEDtq(vBphAq)h z+uQu7^$xJ3OfGW!41VW_4Lo1>^hQbZ7EVlh{%ExA$;)pUE{O0}6Mj>|gGcz12(Jdg zUne-d1kaJ+ei3{af+H~Se|=M;mqg^(iJT*mhavW+#C)BY!w~m%;#}9G@$CpX>j2q2 zav!8iJUzt8v2Ug+X?+IU`fFXZw3x%~^>Fmy@Q zxUA6L1!+!QZ?)tu+O(fmaMJPPSK~3PYlfoK4)Ka z=!`<2Q`--DjUMU|rx%u}(}cOX_@5h6UK6|ex62pp+FQEKL>qyawl19g%jSTrpN!31 z>s#toO)8ejAU}_qA{z8kCLE#v=sb(HtS#d3Dv)_}(-Nc|dL(Ag`=N~(c~YeV-sp83 z5A7Vk1KcB3&F81KLQk^?q~s1-qf$TeF7+>V$Vv7k*(uL(6x+Q~wtOH6@tDf{ESMzk+dd|b+ZXeJyzEr0&F zFwzI^T={2Fbl)3=k3HPB$Diw_QE6XWoGsFH88^|6Qbuf>&KaTjbK0N0c749i9;J`0 zkIdF6!r@!zZ4Koj(D=cUrr&dsXu?aCJ=oY0-DVi>+Ke=Vr1m8JSN57{U0jx`ggO#c z(^0BFxgUmpIDYpGUkF3wx<-=S`)xq^2H*Y=;V6{$Q_0BnYy=X~`y~_d#S4Y}mE|bc z)`t5<$zlm%p~!sCkQm#XHM+F=tF(zm1=;H*8J0x^qyFTRg_I`@kS;oL^N5!pihVru z*EJ^uJyw}0%7}A9XCp7z|EX|5Cth!RSxM-l#@S;4nwc_zgOsK zha;c%BN6}Z1)+P2?+TKyhNJuE-G8bJMWM9;X$gkWFyvR8@xH1s9OZU!Jx??9LAC2A zWsR32k$z*z)gVbXDD(LIFf083=QB<<+3j02M!+fPc>YUK5^z7O9{X?`^VM`IYu3|D zVLEW+;zn&U*!XCzF>_%44bN1E6f3?Li2ZvUi@i6uZVzV}EmeZkx8~_9d+3qt4`F^m z4kwuS)pPGkUKG?boa7xLO@z_+xsw#mc;6}NZMz+c`AZSQMjTBgFsD}Y&3&i@6iHjI zU+ytQl!p#TTK_8smFTvoX4rSLbVM`#d0YmtUj93!g}DXnPf7M#;eGg#c)!d(!D>jM z2XnT|< zvp|gP(OZpC1vvGaNzM2R-v8>H?kmCb!70gD5jm4mu-wI@Vc4O76ty2wwBI#uO|Gnv5g1G~Kzl*rh8^?j|@;COEFJs{|hfC7yums?`8{>R(y)$g`o5n_T|T)hHmm)r8-a@Zb@?B*Lo^ z^?&?zg40Xz90~3h!G|F@0z}`G=p_;Pbt30T3jzL8%o21ea5-ge9rjac0wS&N7P^ZlWF{BUmLsu=saI3s@d>ATjn zj%35DqR4JFX3T3n^x@>Il2o90u35unoC%_Z_54MrazMpk`_OP<5!{xTRCx0-320LD ze#ulNg4I8(2<39zYZC41?!`RBX|6uI(DEc$cOie^)S3gaznq5`>`p=33+WGLr%GUy zC9R?KA~Uk#V=tmTfc=SkA8?t_JAr17L>KEw8Hn5Q1ql~m|4@be*-x#`=$Q7M^i?=Iosty&r*VI1!*OyX#5&pvPuKCl)V&WS;e3*GRT^U z`Bqiki7FQZu}Axjnc{@)Wtgd)3)H|lwfZwI5jbN6!OhohF?Vtxebaz1pKO!B)heX_ zgh&c}KegKb=~EJX%{1f1t&>jJ%_|BO!<7sB5p zH(Dv#66o4H@2`z>-~pdLJ|X?(0AH#`o7g48KwQ{QOnrYP*jkNzH`FPF!1?g6v6#y( zWn5hI)XoJqH}&`Z#r%Vy=K`Tsm_yCPFDNgJ#R&9`=xj>ui zo&}GFG;gehr@(m0!ufBaLZH}usAaE861+L`gzeL!1MCuW^c!BUgyH*od}Fx3_>ocI zh=?M7_pQsmN_bfS^M8{+3%{;yP8Z{_T+LZ_rqknX+SmuJ} z@gL`+GV@`Q=G^L~hCFcp71o@!Tn(xrv0M`Q*+AtKLos4d2sMi4x)1!EQN-N)c{0rP zC+6<~MFkFCUhYt8$MJPo$`vf${&>&Y>_jmyjG4FN)Ds&p?y{b?J(d8Uk}6xKt_8rJ zggD=C-rnHbu}4s78}n$V?|%mxZ_qAYczWeE?svUjIljl;5yS#VqMKb^A;WPcA(AEo zPS9H))^+|afBB%ixJ0uYTpyKHdEya?=hv)Rk99-fGza6K%eXH=v3=R`2TuTSS$;@# z67+)GOHFiqB2jSsdmd9rLNpvnXAJ-I#t(KcJ``MCiGloatNRk>-iW3xc5BZvfW4_e_{n+Dpd*~Z@VO2PZJqS${!K&@iaB<~aQHrfK2sl2x$IuaLey9xg9H{JwwqnI*<$zixcce6&+wP5E*uD2EtyUn}yY80&vfbrH@=N z3P|3FbuQz5iF&%6_Fg>4k-2WXORClQKW{bRHzhoHgfEHkY7qQ&g40Xz90~3h!G|F@ z0z}`G=p_;Pbt30T>(XH zcz8D9O!;Facs5Vbsj@E`^Gi(b7PCe}?~O-%pT!&i6=|3r zvGNVMzb4bx=L(1U6r-=F*}f@-6fOYU2BX*b0~cL6)0&)gOdDRdg#A1-(T ziREm6GBx(dhxg%j~0 zWN3es%lL7@AEHt?PqYvCfx>6T$FDA0gSh>H{4X`$AT0gNL}tMUD4rA!(igi!PlY2} z9g7kaJ4#qJT#y$-Ts~%;l0brU(_(vGN+0$Hi-th9CR z+78qjbwSXhf3o!9`7qGqh+E|hGJ|VxpT95q<&Woi>&mKbA=qPhYyT<6(_q?3+EnLw z24K(E3#H*MV4+#C$GklX60SXL+&^!OD1tNhYSV?lkpmI+KWp*7cT4gFT?rekH+1%i zBR9BtCf~{$=cSr%4Ru>TiiOH=cSp3A#G!}UF_KNw1sqm%=UJ(IVL8d};gft>2x&o6 zF1zvl^&!8*PyG9R$4Oe;rso2Dk5m63!{Y?rm)Fc*1lq&-ODEEpJbgfW?`b0!%48@$ zvRY_s5(GjX*Y7K1-o)MSjM09(4KP=0!rO}7{lD|QREFw@HO>v(ca2or!u{%?af{_K zgE&Y(yzE$h%n|X<8dvzZhrx5^KVPkqFt4q>=N4H_C3JXdDz#z${%3W?Yx5D6px{Hb zu&y8l8)A++3orDc|97r@=z1vdtmd^D+QtE6jQRV({6I+kS5y#oJqI`x>x{Cl7s2PO z&igy@xSzLl!0XvSD6+FYb?j760US>MV%3cMi5jf^O=UD$Afz_8mAIV>ORbW218u25 zKiNaM?2r9dISJ143YnlTR_jQHdt0BCOhj*>8c3sonnz|)@Ji<0n$tT>BbF>ud*6+{ z@JCAoyS4M-9J5dG&G>A%lKI^&>}L|tvi$vCh`r@sVx6zf?@E9_{z>A>kBfj`XX8r6 zcXjAZG2v%AhXqWFhwnW-OWTwp`wO68pk(>@b_6iXNQ=t`B*68hs;_b?2{2Ge*yn<@q^M`r=%dcV^U-kjR?<$9$FC{?v zq*y7ZRz4`_OuCenrbArNH*>Rh*st&dNq!y72X4h8=e8_c_$~KvE~+2%h$p(NNR`vz zzF66ZD%v6_RU!LStZWTV86~Z)?1dnvvi8h*ZxXQG67|fYiiN6VeK!lCazLj=GO9@O zApQM#?K_2Bm~=iFj^$p*dnj`gr>cY4J3G&FZr3@DKx8%C znW)#817ge8Ym799kmGUEh`YHt@WM$hcM9(vR-3l$%Ueo;>TM8<-mhd(Z!<_)B`W~e z-R}pSzv8)dS;EB(?92S%J9^F@^Gz$JV@|BQl!NsFd8d8Y7k-pkF1=aBAGI^IP4-_; zf}{R35)9Zow5vowbT{TPKXG&N)d&fM`r_uvZtSJywRiBdaEStTU#flzTUuzFn{Piw zT>=JV2faE!m4Qb2%58moKV3CECsFlY8b1DhL)#V~fbVIqk`6>wVqdE9oj;F@VPEXY z$yKsy=;fN7HO@MT_%``Ri(T`;4W*e(9WDc7^YLN7|NR^zFMVEo9t!8~(LF6@!ta8p ztIzInrh>4?+@0+Q@!+eyl$sNf1+S`BOO8idLuqxK6^BJ8TZqo1PoE@uyHL^{Lc)S<7ogQvQlamGt6Wv~u z*lU#jOPJ)%^I|xklbwMMUOL5+aR%ALh}n4Cid_h(4m`FQ z6pMjf!S(q=hc5!%(0;4I$~16m>nV2M$c6DtH@?fbhv9o|wvTR)3HWhv9KOe!2Q~K} zFUtkvy;DX$V=LyeH`eG1bNoz!w|7gz2gI>2jDu_0&aW8GnL23j>&8H#r0qkKL&fxh+1u*VAao{q>Sv?zIl z@zGJ?UA$TF>r%B>B z1}ehYkaCpc*z1y5@K@(l`PktO@A;h`D>wv!!tk59wWfHmk)#%rpk-66@l=heOx;1Ogd=B$i5I7BnKnOv#DBm-saQOQV`~91NUf{)kUr+Lr`=y zyO0LvEg0XwaRkqo4iy!0Qxs=I!YQ3yyk-~Cf%Y4c=Qwjfaf-8|`mPiDCTsJRYBL9n z_FvsMa5)9Y8ip;TZSY)b<)YAGVLV^qp#Etjm9AI zK)u}-{-(PK^gghcDICg#4vMKGPH%DU-K=bu?s_o%P+e_#n->oz+$KsFj>mw*75c4E zsz6ZLH5pf%6bTcN#UYU@8Dwq!rCPM>{H8bE>v8!gs?_%h;|B=&SgjB^B!#zE7y(=w0G zazkH)$(L+A4_M&#iftp+f-chFM`~t;(3M{wEsgt5QxuUhl3`)clu{$zx|t3m5lnfJ zYW@&jR5o~2m=BVtv>)oaguvEbk~fo5$>8B!_I;1%WjNh;KU$_D74~ZH zZFs&_0^yY>Qy+*W0ku%4VTM~e?5^Q>%PM{zrSZJn&%7G@-}#y99w@5NFVS-|iuGp{)qU7YiKQGFLvpgRx ze+rku6U6k;efk`zXnBYlH>)Gw3c~@BqaF}pwBW!^6AFQ|gX>&T*srzt@itR#7Ep=$ zseTN}1-kL<4yE-X5c(PZi1B(dVvFb(JX)Ip$a3+`gk%YLl2Bfx{Di$GmDI-U_?!>w zZJp`wybPukQT$T0WkA1KZ(A;w4eyVvvo_$pc}3kAhhihEr_Gyb{c`x6 z<YatGPG_n<--zhv(F4%tihN(U{*iSozvI2eg}7kE>?bflwxYPs7K2 zp#Qrww73$8K71PfN6qMi{XTQfba9!OUs5(8HBtb-H=jz}_052O(#^?%2l>#xqEsVs zBNVY{u+K8D=0oo3BRxiTRj@7_T67zlEUmFOHP~_wO>h-wiz|RD#(J2epR9D5!FI zIjCKq2%bWx7mH4ZAiDS7ma+liaCPX;{mCookRI}EZ(dXm{7%vqyK(C>SUoPe#VPz`cMeg!yex%9b%!TPBc#+pKDUW`iZ-mY|%1T+wm-Z%*oCC z+*uux1a7C5wd{))Ipoq_#OBVSy9Ltx1`u5)QMz~+>8WeIfH@y@- zWF5QR9FhSMEk>2={e@tjX%@Beumb4z*KLF|C4woVBid4n1;qr)w_>9H;D4>`WUWdL z@W!%AN_@xMN8{%%g18??La+H~;w1Kqk&Ke;f1V4HW%?EL9mQZA8rPxp0&{61x-C9Z zNuy=6AA%3=MS$~{BQ2M3zMu5{m&$3(zrOaQknacXr<^r19=l(X2l?z;Ufg||n9uS* zM4fk7kMH~cD{U1er747lG_;e>_TE!_Z|%MJ-h1z@i73RaVT6=ON)!z#B`H$rcYTlJ zbH9K7>mM8)uh(^7_jx{_k4FlXrg9WkNqRS|75RX~-Yh8i7NMLbxh7_ED;^Y!j)n6) zDgwHj2U9DEcbs~;@%h51XxJXU@u2cU8kj_8b{`7Ng^WOhkGG<;k!IY)n(|jV5Qg3$ z{g_(-AD{2sjCfxTl&9H#6R@UXUuNOdugNrsT%`R}s-Fx(uUlBpqPfs;U6$lq2`7}R z={unrS_;WNopK%M9IieWS9J;PvEA8D@E#E>hd`A^opRbL_^L>FqRl-GF2}DibP#%B z;a)DLT)f`EF6PKoGE)gz{MAP-R#1=LNt}9yqXM3hQ2hMqg?eA#JXA;3&|Z)KxOvWF z#G|5VJ;9}s1&i6SG~vriSS@3-`lFU&#AC1gr-7b7NfJ$BT4)|uCo1E0S_sYmCr|&7 zyX+1ljT%J+L^;rGsOyj}QvzB|sV@AM=sq@Oaq%qbIS0Kz`nkgldDo6DRIYhn1dh?T zX{IiegLXdrNIobQF7J;%OKYeEf|1D?Q?_`Bn`27d2}v~ zouO>}RRLDRWlgWXR)7FkH%kM`1BU#0Df-m242+olIz!Q1{@z>+qxHp7#KTJW^LbYR zN-@6`Uwuf2-%kG$^Y2$eTHwdJzVSGWY>M+?l*#|UzrSGY`vK0t>y__bzg6F#gT!@*(b8r-&{_If3WQP7mP~ zCwQUL@XWe347|<+2@AP8K!VEm4@I*sa9h3UWP@E4Jh88!8DG_bW&*daPb4<*!v4X2 zbgM6{-jk9!q~;Bclo3S!&)lGG_tv%AKzlIU9{=wB%?%t%0$jd4bp*!9l^hwgH`qNr z+}FCS3hI%H9`vYxTddJ!d5GW&Z2ES*YmGDo8}ZTajOv<@k!Ca?FpPMezOM#7kDS69 zTLY4j$sJVJBCv4eSGygk9UnDs4tyEWI;Nw(koT?OL_eK1#Fh6{O!8U)g8LZS%UFW& z%)GCPr3;uyDU@9n4ueGnbnM7t0KX-%Lh=P^=x`HZ%lGhy z-90A0I7y(vtidT9!q+DF>XZWi^H$@2Q{01x`;u_42F_o{IlVZ~ z5$As4d>EV~fcH)DUJ{;P$8(N&9tPi=;`4QU4ujv<@pJubl{^9YQ(d_BNBqu{8FSe1 z&QeoVM?C9siqxsoHZU|ieUnhZ6>g~5KoOIDy z_6D2g??+>wI)OoPV&tcWaIpATDSy$^4z|9L$jP2|guE?XZeEn5zVqU=zjlWggfQ6Y zkCj`&=i=9nCN(CY-5@+r{lN$rWM+uAd)y(1MN9cNlOrs)UFklS?g1+rcKRK4r!mpg zXf_wrgO;6*m-gtSg#%CDi=?J*FkWwN|0WK(w*xfQp3eus@rRc#20ZnK?Bg^^Eb8jm zS>d~(L;2ni>X^CKT~+B`R)4inu|~6H+V@L-}RJlPCV~-`(Q-O1+!q zhddVIV@%CXFmX(rh_KBUg!-bD?(tYcp_;+kAV&ziC7RfH<>m)+vnl0gRM@dXBER$Z zchUK=w!-~!#t|;6Za?{S)B*0hL~svh=)-mqvpo{Ipt+R#Ln#Gg_-=P7DER0R%!B<_ z>+}m>xLS@qq?+^x{>?HIy}zCi^}OU_{|k9Abkt_-h|ocv4gcf8dcojiqVCHp2SGkU(7^J^vg!$qD`YBA^C!0CiRioLTnsCFzZXI8ku zhp&>k@{b)+E+pfu)Q~;$J2mn4b~?dA&A^_yB^}J^(w${VMSYustBu_o{=i~le9p7` zn~b>G713wYs3(=3KQ_o{38egWAIHQf;Ay$eyXk?e@Rsv)vM8ZC)P^4YtkoI<^tAOw z1vRP=DnY5&`V;v{n*8qO(tE=9TaFEj7B)a(v7F`S9t92r2iCfw!9aPT_-7C5!Hena zG&Bx)fx4e|g_pk%wEosQ>)(Uk-><#9?4uA4tD$0zX=zTd?Hg91HsA|doj1eJAJxE` z8yMPM^H4wJe}6Wt(z?B_d1K1DqUYcG2E*FJRiZxL0Ql@9>DBep7rW$_DBm`zjw#GM z<8QV?`@d|2)wexvnXV9LjUG(`e zaz7BOC!irKM7}qL6N1rE)~t-+e%%It&RhSjYgf(IrRQH##8k1Pzr20 z$`m}m;|+J7(!6yMVgW%P&o9+OZeT9`M{d(S3>IrfT5E4RVf3xHD@YZ6!6uP{xJD)t zwhcz|*(lL`pS`$apD+U0{_Q2Ip*|O@dxyL{Q7Y60lN%lTkOAk|OW6YB(m`@{WJ>Z( zHuR*iGB?Je=hDivQ#STN|9Pu%zbWp)!+lA(R|Ds--f1&m>a9QQxpc2TqE>ahAB`ec_NXQ1ii=oTL0it769UF zV!0)>h!5SmW@*l=i;Xwk*Q-JM%V%4Ib%Tgw?v~PQLSUZ?B*~Y~%IG^l0fRRyaZem< z1#oFxI28fentbDW{h{FOb?OtZM>^d29mnMQFAA7gEGQMx-1@CZM1;6we+&4cXZ)Hb>>s>9xk-5iC!`vJN znb$aKLhO@ZWySnp_e(lFR9vf8I1!44B@nQ9k43_Wb*nTX+EaPERcX`Y`U9cy(WI3F z8z9NPSmNlA0xsfN{(nCC0tHbJC(m;!OoDaNcT@}gJt4}eASW} zvhNtBbu;)t-{5)K1vIC^aux1h3PYZEd7dkC5{OrA^?>5nLLfXQjM=~6p9-xv{M-2v zCjo1GEblm)1-8{>R|NlL!VyKTT)FNz@Ni^m<=#z&Ds#+O=tU;f&As(cXHSI(wSIrR zO|zgRz3uSd!f4<+eQ{>nEfe+Tv~xhu2SfjAK}%V1GfV#(X&&sBgdc zZfKs5_|zca^`sbP-&9}drBA}%vJeR0)JOdZf*;#yCpBdZ@Dqy$jjUx|Ho*eM>gsb_r-yJW)v z(?GgOU;(V(qPr3E8@>Ogw5?X2P6vKAMvidG7*PGgwx8{m3ugBM>jmz30a>cxrj0-$ zgocQIY1;P1iu!CXlQaf_4EdWG#)fow)HS(ULSF!6f8Uq&(|Kp_v+I~#}72A+2 zEHw#G`--sMi!>MbOaucmEGuD2dBSw#1=`1GGZ3xhpgqRf+cCL^72(7K!e=(l5uho# zL6F~;3M*YbPiSWXF@ubl;2l}?{&JT%$@51VJlU;0B*2#kyES5zZHQOiJLBI)w~O9m ziibD`%1c0O;PoI?RXIcy-ecEhEC)5MJ1N#(RdA>zA}Mh&3*wSQ^j~o%z)*4`BlfxS zKW{beH^n`8xGxF!YT*2JoYRZ*9C7X!&WFJ{0(jpP?wv z9Y5FmyE3eNMM_}a?M#0#OCh|~Ir93hc07E(Zs?iSkOwM8%`I8^W|+@(dZs8}I&5xr zetcP*jB>#`%TC)U*V;+Rxh3lhCwShjoj{zs`Oe~0X44d4BwfA|%z(V4Vqx-Gq~$Pu zN>S1P-6wW0WR2yN7s7AW@xTubRbYLeY56E^B6Q4kM3$Y2gN~nX#=Sp!`b;bfAG76c5<72NFbrMo*K)m~{fWf6gtDbmf8WgRjfwGR4rX=dAfeA{~Or#;X>m zB(RQa`M7KiIQ<6vPkz>_D> z6eA|18Hk%JgO8N|ltw>Pg8#Q4w_fsOK#*LIS41W7>GW7t&mt~@hTY_|m15w~d}csZht8?j)e&}K>GojmOQLl5S zU4;7ijY#-I8+aFxJ({v^di>(&K&UG?rgvQBB8-yEHl!s*fS;Mj^7yxC7(98*T?+h;Z_Bp}D&b_?yk^z?5_nE>X$!_Hfux^vpQAPdzH6%n@N-mxo=#Iz z_E0Rwzj|~$IqLtyQ6I~9|HsgK)!GtiF4 zymDHrMn@9hAYzdB-4(RIzc5{EA`u5hr(+Wn#PVQSNyzaQ>eDi*lvi==T3`)#;);@s zG@(|Am-fD`3v7yYpQL??a*)O~T8xO_=Hj2fB9896ZZyBwD;sm+PWDF^Po5MksPAGt z<90ao9kaP<+I^S90-?@lAQRN4o)i8 zJYFXYz}GQqD9k(u7TFkjpHwD5*o8TVk?Aa;s8bG<%t%MMvg*FM@^rY?x4zNY9sx$y zcQbDUAa4iT9|1Pw3=qD-d*-{ZGiIdw*|zUk7APz$?@roBVbtW#f5rcpVF^2IXRo2Z zKSy1kBht1A2C&ht{_ZSDvQ3|SwVeq>Zsd*hIT08qY3gXs>n!Lv$-{TVD<8BrpBfzB zOopSGq_fHBbMh|sMdWuoB~1DKrFpgmbYC~znf^`?3)-Hq|NTV!Jw94nmIyT86jD>{ zxTsP9v@cj3w6i0??$LWC_NywO6|K8SQyv2ZZr#L`H4gCJEBRZJP6QUp#$RN7*9G#v zx88mHEDi2o&s~wGNr4^R7=tvL7)WM}zhnCEDopz-qz;D`L!{5_UOsykD1LKco#xDk z1afZWDwMmBCi3{YdBhJ6qQi*$`vT!yZNLrt*XaMlCA@Fk8wR+y8uy#x9z5KagnKn` z{yNU-#d(f6_Y3F4;2Z(GZ;JPl@ccTSbHwv7_}&zsuj6wV{JxH#>z<^wky@KY&{V@N zEiCN~zYLC=k29u%$ydkMqGCQ+pSMMXykj`b*mLof$wh(#@24tD&jPS|sNlM25>#8!)z7}ogO8u&yk3x@e7(6`Wy4ZF@SVPAs-}|< z%y%QHZgnF6aX)=j9pWbbxJ7M{^GXXdja&a!DU$-5$zL_yjvHh71^R+>RsPWWcK#$* zlmLp-O~sFL(7ZV5jKV-9>L-p|NFQvC0@t>Xf)Y7N?5X?DKZop0u+aRkNEaq+XI5AeIbq6ZXI-j;O`F)X1T|i;K1_L&-{A~ z*l`vPU!+Wiud^(R&vKH1F)gXx0QHAk567?SwP#?HTtrvS3nqc2*ler@`n?dPHGEAX z3WeF~+cdQOB5>in<{3r)VyHM_zs+z9{r~*={KrO-f5Nz%R^)ymoRLX>H~q30-p4k- zcSwqY1|jK_g}?lElBn^EVL-j})u;~Iw?dtuK*@yN%roy*GXClD7{BaO{ zU_RKl`c4RUAaC}v<5F!~4rGyieL?7rJf#k-PxhK~!0{_bgtt`@5UOF5h5Kmke*35q zePjV#>SdX{k)H=`#$9CHd~rb1%1c-uR{}2ol7%DW<1oRgU+M*l|DPZEtH3MyFNZUb zj2vCb>qqCRaKrcd&R~!_@v8I0o(u5MUgwmjO9Yl{A$mvl9x{uBbm$2UV)(0w%_ep=TKc{hs;IUhwwmBG^*gL;`%XK)~K zuZU_2fSR|z6&O)(dO1Fqg*6a)$z#syq@mne)bk*Y0Et-eTALak=!=7SXG$ga`~;Y1 z>?N>T&w>G+{y$5X0%7QU*im-LRKyLtU_qs>hc#NUKeXnwf+f+zEjN}_!O`Im^|EX> zXlDH^(>p2;V$4_m*gwpGj_VqIO(a#2@q=g6WjqutZE1*YYmvv&tBs4&Aso1m8{eF$ z41!vVG%tmuV5rh;sigWF2cG&GpM-AbLT6zA4M(aN*vXTM<{PT5DDWygG39F)4=+YqiKMtP z;eqTL3wM78Y^mOk;_;0Fr585NlQcmfUMQyj?}0C{Ol|TxyT*giH&a4CG~d=$-yeI^ zkOFO=?q&1pBJTR%`*oMj=0j5cuH}_rLr{K6C(V-;4>n<|+TBF1u#r*tFz^pL?+jdm zyUu$l299B_N3x&zLQZM$areq7aJt8Lc24OU z@`teHylJq4cbAC{to+kKVEKz|JQ4D3#2?uHLwP;gid%2PZ@ED9Z7J1Nifa(FbSZ!J z5Xv_y-X7DnLO$s1KGp{LBA9nl?9~S6e_bM#$+p7}GjJm`5Sr~HBG6Td!u z%&Ih1Li34pBE23oMvf3RcIM|)MF^|zGd@?sjdhv-=;4TN8e|kfDrm< z6*NzLHE>T@%Mfdm*Sew|7X9CRM&8nyj*;6G%e>3qIvf@cVXV!j-}#XbSDE7N^K4V> zEuTDV%Lba`zM7R!_smBA<7B5!k4o4e&@||BL~|91)0x+qD?woYeq!f22_Wz4kV+;q zgufq;R#u6i&q0q`|H6$}xR>-(y~+vYo3fG)OGo8^@KcKRk5On}|K+Hw1M1o3J)*s- zOcaF07*j4UoGApUJCIg+AB;k-l>7Z`N}-=*`a`?6h*B>B*FSYPPL+IAvBKhXY*|$p0~7Q z(A|Y>Fn^;&VSPFggnn|oG6_KMW7U4<<0lf}NAdx2jYJWMr5;x@{cMape7ESXqvt{O z-co9)LjWi{N4O`U@5RVzl~w_TP+ugaZvA3+;dGJ8yxQ>kQ=5W zE((Rn96y>ry*=`r#2)#==hY2EOuK|(%Ic8gHN>eTi0f?Y$u5AjDGyeP<*QhS4WFE# zA-b>3*tpm8#6lzE9r}ajd~mD?bm4rS4kl6UjnlMYaJp-GC?+EpYFl#;MXS_+m37X3 zu45VW?Y?8uiLHhZT3fHhOyp4)6>CbfNrmSf!jYy-Rj^0K8FK4!0?cSuQqiMa^PwOE zCc)^K|Gd?>-xT-Y;l3o?tAX>^aZWGJbF}>*_Y3F4;2Z(GZ;JPl@ccTSbHwv7_}&zs zuj6wV{J#F*xqeT!rv>Fs)7QpKj)*zJ`JMB%jBGiOr<47Y@KPGOmwY$kL7x+^#719{ zM+We`((6qC>bt(aP?>!)E&(Qel2~89j)J1gdg(8A1{2iHiB(tOj;0iMTS zB2%KO!SR%1#r4ODz?1Mrj<6Hu>6}_7_s^%pS&o4>6zB6ne5Z4t9qrZry>vD|KNbb# z3KzFcKSsfs58t0$JB@hqw-S3uLbBlYWM3>f@=e-QeUj#>7Q~{;o+qhNJrBVH9bh3$N)ak70XMSmV#Owiqy9xQ%xT*XE5BUIc!d{vnf(2w zT}9-uYs&BUo4s;jae(Lc>(yKsDfqp9A9)>kZc;zt zL)^0?%pe`gkqf$I;eYN?mcsnV!LQHg`xNFlnn7?q97HqUH~#&Q1Jss@D{UMp5K5JJ zoFq9Oa_q!jJ*-a(`UgdrQEn?5{KXj{NB_Tc6SkhnW73T(n_aVCJ>)IvGKjtzgW0k z+bkzPm=DH0l2z`pNpMNUH;jw47CgO{tVU)lpi_F+E!H~)Mk-jMjhN7TM%m#&7W%Q}~L~VKM^~k5{S9v?-CnKrv7)n8)-Pl zHPWCQ%*RftMoAsWv~hmZ>>>o$n8;621))9bMT2(*8&OaecGT=R^Htz~yLiS~)E5k` z7%NUwhe3Tvr6tLd4@mjv8l8D~9xio^mpt|`1~rY`0|j1t_}mavo%zQBLN7%99JM#X zR(yR|jy7=gb5y$;vgThu!bujFV4(Uy{DuA_Tqlo6b zDlk*eP-PLg!_xQtH#zBMK=_TEMcv0A;#NgyMW%Hyr6m90l8a{85)Xlzf=C2tIT=%a zPBy~KVn||pvaK=iqfZ@Vn4MtV-<;93*d8o=CGD!>oY8x5UQR%p8w}kb`1pR92P!Xo z*d#I!f|CyuB_FptK+CUUIl3Q#KymKvgDtcN^|$)n9#!Cvoxb)y&W0rrJ1rRRG)?A- z6*5$nyK+0h+!-o5Zbm2ABdSh`l(U3^Z|T-td{Ln3_Vcs-xCtf~En2gz5CUIigzV&& zJ>XCZebpCoC9GQ|fa+Gx6%e3!HefP;9CO{TRh=`jgUE@}7TXAWEJ@DU_K)%q6t8u?6 z?!m)-Nw`-7=da_OUYzHMbHDEYj}L=$1n|Bo-b=#s>v+x)&%@w*Q+&RT&tdTUI)1Ld zvVU#nM~?cH8Jk1&M-UfL*YOVn*u&1D)x<+Hi0PBA{L^a72%F|6%bcX~1%6(gmT6*r ztm4#q)7m8~Y|sQtlsjY(RX@+r7;*SQ;=Zqv`iM2Azuk`THh%DB;mZmYg9XSB3Ix@o ze)z@B2E(`CqF~Bf{DS*G7x+X{jdo66@auDw+=xV=oYNyB-+M;tVQj8RF^RTw$A* zBktL{9|#bBPGNcD35Aoga&gbh;mH(HzKv5DtUdVRza->>eK+raqv90-DZv+FVh-zI z`aWTMQ!Q?g$H90}2XWbT{Qu?$M}$JoZG{o{5qYd_h)C!fO8}TY-ks+=qK^sRqczKv z4TFif90HCfe`LrA8zmbKN1*)ICpN-QSFxn0{Gr@kmawuTNSn@Y2W>Wkfi`5Ouo*Dc z94PC8iFM4(HK!_JLN@eVuPc=|Q? z$U2du_Ff&Hx7>5>VzYzT?VkO^)0d&n&eZRVmmmCdUIAglKl0Rk9 zJ?P$t;DzfK%%GLhwqP?V2!1-LzNnkA#jg4oCR`?T0=08SBE3uA;O=oPhw_gbwq*Q@ z$fsNrdw*v$x28fFBWkx0(_C`|_6PCvQKoKKTPel%7PT|vmj_FT+Bm~wYv#$No-LW} z372PjQHIdR%Hg)mW{ydpz4F3y#~H@h96Fo4Y%!GT?#eC=Fc_t+~l^!*2KiyqMskZ+K-gg zslW4w39W&ZA{8Ad-mE%7S*nj6SYLeG%WL>n+ zRSRrj{A?Qzg={A+o`zV1QNrY+gjPH-eG&Pno0SHsD9?5LQ3+gCFipLV?ll>qY4r{v zCGeZFsw?Y`I9z9uUe+|Xf)+Z{a}}pTL45Ti-wQc(eo)dSmUO$qY-Ci_x_Ji3S^WB_ zl$j4q9mV97F1fJNEH-cLX^wdfDb{(*<-_8_Jm-hG9B@d{9V|tjlKveTH?NH(c(gvj zqu7%G%6yCR*|BAC_EIlZS3x|8AAZmnDVGZ6D(@fWcsA7s9sSUjfa2we_8PRIYs1!k+edMa0r zV#jhcc5eIS0Nbn-eI>ddXN>NcJ>)<_@AV@He&F%bi@8M}n*`Sp=9q9g^ zj!jS%fXitU_hTXk5YNhsgywP3mb}UJ*DVl~Hxkv#Q2(Y@oaLk~>Qlbm%pO+M2nD*9 z-aE$EV~fcH)DUJ{;P$8(N&9tPi=;`4QU4ujv<@pHX}d4=j)Ocor? z2->ppLwOK_(py6)?><(2A+;NxikeYE9qa@mAAVue?HULDZlnL?r_i2tjPm49k4z|=@az}f z&Ib1DN@V9|P|jRAwRp5Y4A>ai7$cd2z?^9)$Wk^9GDxLgpBRsYznZ;2`2`V=F|6)E zJo5hWu3U{s`G~xsAztA%%2(iSd(EQ5ZVDXPxk7$`=By|8SMAAU3gJbjXzK#%XJ?mi zhs|a z2l2W&qX~3q?>v6<_!UVse=;Q(X+-<1ckfB;>wY;vO>wlmy`>Mt_p`owM^Ov|qD}LM z?Q&rX1>hgaltb~C#g#YaPKXy}b0Pd(GH{rh>d1e~18F)XbvwQ^;AAu;J$WbwnyQY= zdK)Ceub(F~CGI6c(Y5n)e&zAtwyknK0p-?|Ra|wd6x85WNFi(Aay$eavGp~+kq>6F zH~-`w6@tB-K4o#uR1ghe@$V>&hTj}t>CKjSAw!&D<8)OxJiHe9(cqOm+`lz;%T~Vx zwAV@24j{IJE#^(rl)=%hF!iVN&fo)1BKSaVwKJH((i;p9-byWCG_u+F!&`*-)~Pyloxb6D>q{ES5 zcup5C@lzuKw0my&3O>&RWtmPnY!z2ZZN>8<`iz32(?;HRl--YAWB3`kUAy`&Lvn`kXh?U5g<`{HXZ$ zJ8ylK6AVj=Fz=^`qA zCpaKz7fiT|_A{q%jd6ydd+nc{-Pi+^FZ|7=9M7eSCA)k#p|DPaqa?h!Z%>p$$#$ph z#o|yf`4Bs(F`W(pKmHL6Q3t?&W7F8f4?%EMJv_99D;PdSHa+{pg!*@Lv{H^wa^Z=R zk=^j2c+eyM^5dnTKjiP-Wfi`{3z>hlof5_@;Gtx_x-~iScZ6& zCLPS5A5;XuS{I}50m{vs9b*s+-H3tI2?+&)MPIN}?W|1fP6Y9eTLO|iML^&uMWi8? z13n|phoxHzU|D_*dyD3AT|d$=wv9Y5C{seaN59E}CTn&8tz=IKzW8UOlTjx>5t z_E@4TPKTyn;b!CHA&~Xgu)aLn2XRXT#Rwd7V0OQ?rQ&!h2#wM#$`_UQA$Fl{% z^0(k{Pk02B)hozPKZ}BEVXrRipgEkmbno!RWt6{=o9Pq%9ssI}Q(jh_{?PW zUtk`uIaQXE2#*GuXNq%UVI(ZUvBN$Q#vC6HGVu#yVFIe*W7X-Pe4q21bCfbBsUQ>- zVG##(O<4G9iXmhWZ@d(9%|`PZ$3z~BRPfOvIjHS%#Hbrg*8fDLpq_qZL_4W2W>vKs zRfT#{=B%2jE^&!){Np{2Vv}qb>^F&jt`G&fOL8=g3K@`eoIuxYE*7xnS1#&38OTdb zUp@Ld6kgGMA<8Pu1q*f^l|B#Dd)#T&doOEXz!@U#VPBkp$!6kzmKu% zB>-JV**=eLHnPcw&|ajjoHld0NqM|CGFy*+@9-JTViE zs6)@8k7W_}7PMfgFg(ryg8MCDFE{l=e9HXCsi>l3r5ez^g29+Ty{A3<=4*v2T@C{Kb_*?8K+p`)!0jE8e!o8plJiAXiDP3~<`o+^gc zNW&8jC#vB{^G&|TWbzQp^7eVF0Y4;bCq}e$2Ex-J>s0T^7!cevJ;kyT0pvW6>4!b? z;FlJ2yt{ufNd0}qnowT`O5IFWl5(13DTnU^)9 z{7{dY?bOMIpbW(Co}YC|sD>+h4>M;`j%J?Eb4YUoaqKvqxCO4%LaAw&#%00;@V@;+ zoIO7q?lcI;kgFiBwoE?>gym9tv zOV#IhQBKZQ^gCIR4faVUmF*DPS5IZMP;;*)g8-4}ijfuS^MCWOWQ$D!`If=eq`?x1 zsrDTF4$b_lSTarfE`EYx6Bfo+t5YC?Vvy1RZ zfyaU(qQs|?fo?m1Vm=9ROcw6(JIPhU$2RGSjkY5AK;t~~tSc6dFp&J6=aBHB7U z9-*-M<`dO-M&y;%@7uYR@mpaAj@HWMHu724V< zjTu>MP=EJu;r%N~V8uZ3n!Gp-`p1()EgzwMz7I)XZc0AbO0;ksq6-B1GFJ(ij3l67 zZd-TxfcW75^H$@2Q{01x`;u_42F_o{IlVZ~5$As4d>EV~fcH)DUJ{;P$8(N&9tPi= z;`4QU4ujv<@pHXP+Dg=txE%II)(`Lh^?}DP4LL`C6u{p1ya2ifsqiK)s&eIH5_HDj zysv|PUxwg)VV*k=Y;DS>?Wc;sGC+x-d8h^$JfcL6QNO^*P4u+OPBJjv$$NfFJQ0{R zUCqwyBhP71_4F&0OZq4=oJ1EI1Dy{=Z%x-HLG0wClo{dzV7=er=7YZX{K{W2)tYR` z^`b0)X&{O5{ykkIFP;Ul>90A29tUFM;#xJ?r09MxYnrMnZ-dd~2o}DlLidSl$rlQ_ez{xw*F?SZKK>AbnrIz(YcOWba$&E zB0=2CZ3}Vh{|Ry2Ag@8+qu-=G+3uKJdH2){G%vTQ45Rsja)&HDDd#TDBTj=dq{f`` zfXE+n%P!)@z+ZQY42V-ymai@^Iw$aU7;V+!W{edg=No==e+Ay6r6lY+YMpx0Pey@rVrRF9yV$vtjM9 z*+u81>E{tI#EG17SLB&Eng|m+rg7=|rSK+tk5tzu8%%bJxVg-0;mu2@cW!RgFy9{2 zh?(a?|J-Ck;5h1)udOc;u%P?B&)o?owC~|0%y%<)s{vUL9iarfY}gOmW=d5P6s`4TJSP9Nao?9FE)Oz!nP^O z3#;Mwl90J+4l%OpLBeA05TfQuC9p0F&*n9QJl5QxBvGHFznvEJ4}aVL*DQ$%xqWso z$xy_GGsU`gE4Z=NS4~D$wCYfCu2!+z*A~1U@~XuOn1Kt=DXY$8U!cDf`BWawFBQVI zKUHTbVxhD-nb~ZfAo$Kg&1A(8+&*Bs=L4;vGiYpUsr4$PK3(~@pKb&$R1bJdv)rI} zR<}K9Fc`fb_;7!Y&;wPhpHme1lMg~ikN0GFL6n^i+oMhkNO-OnIhXDTU&0T{r)wGE zbi#UBDC&EjP#0ZzuVM!Wg^3#oHjA|n7hJG^=LTN_+SE5>?6Du`szb6Q9WZ)FHA_=d zKUn=xRq-z*5PTVXUs0oZC(miJ0uKIbz|s8co9;tftU)nONoC6$9y(3k_;9LwQ-9=JF1o?x<2P1_P~QSuGj1qBJek=q zizn|Wg+QZS0JAB-F4RW+IHH>?@5nSh`*P@BpO}R#V@U5IA-e zo3cGt_?p=p-Wr)jJ&?W%(MH3>BjLzzPVrLmiKGl>wqcOioF59BN3?JJ;4y$zQm2R| z1sAZFy{&Hi-UaPby@#z&KIF|0C zzqlO(9yR9^^&}lpelW1m{e~S-R$dz5X}JdD62+5!IgZe~Q)Xn|ONrs$YTR#%d+=~y z67JQ&`Rh2R7w0+R+%KFDgL4G%zA4^I!t?8R&JoYU{I@s#-+UdP!{GOI{9J!6Io4Gp z?t^?1lKiiGlt8KUOl`ZNHT2IM^_`3M0+%U-pgD7Ln6T)fZJ2DZLd z4i0+zL-$u&sbeT7PI200p;JBt&ia}$l)Tc0m;8nAl^;_AX@rB*(?&Newd^F>gBBa? zYnTOB$chmx#rTi3owLEHQ4@v(bEr$^}aR`+2 zU4y5)k9qrkT+P`9g6q%`@@GRzRZgm0vZ-0o!ifGq`fe3)=rykFDRbg;x>D z55$CwFpd_>^ayqr=-2q(Ptl|Zi&^UB8j9}VnQE@{OT__NY4d-3aH2e2tRzskO$=rC(@vM!mWJUEc{* zMUoPuqxB$z_J{fKRg}XK+M)|b+`-2bPc3t==)=ulU5U=JsK?oy!C17O1G01zI{a7_ z@JMvb)g_mMMCD__f!r!^O!oaA>V6CkIWuMKI@`l}Va6hgrby6Ty;U6Y0C5o`sD%e5 zyy0>%11Gsp9s~#6nf4Mcg`%iCCB3#KAT!Ko?9=3i?QEEw+-gSLNQ?e>xEL(skiJk~E?fzm?000XhvosZ z+UIm3aO)0{VH!m|NWFVN5&NJB4hJ+{s6~Dn35I=Aew6o~Jec?SQ`#|Q+?uQrZQNPPgoqa#W0CM-wKeoybL3u{8I#Ny# zI9=J+RqtC0hd;_MFh=NNa)wt8>rWO#NC~~(-l--a8GKHocr_W8Q&-xx z8hWk|WEkhUq5K>hc@1+*Jf!DrJE?rkhEJ*rdt!E#usNmOao#)|CQ=MFU8m99Wu|AN zi&_Blvq_WKkJJF+wAlbI9mGrNy-ZO-ssxdI4pCIUQei9D^x-@Sn(y`=TWLRxa=^bC zZp+7H!$OAf;pltF2d>un$RBZla?7Wfod4AU*U+8T4#Zi1xy8i4_P7Rqyrz3^F;W3% zrAI!tm}Maz5o_GUscP_O4GB(^LVU_?LUC6Ol!GqJYu{D#f@wv9Y5FqShh{2pj=57b<54JKWHxf zDs_U;HVU{uGZ+8!E{9X}#WqPP1;DSB+jCkv2h@Lrzgc}-1G6OiCf5=F+_>U%nsX`Q zm&Nb>Xd%gkE%kE`Pa$Nbzy{C^5wKlRlR z#91m0JAaQm7p~ihT0N5{g+XHN`$q{%Vf4^Emhn{)6EmxQ<%PUb^mASQ9tmz>%QF9l zy1pD*swv)9H5Wn66~W_T6JFTa&qKCsO9jX?zFYK)%o^J~_GEkYSt0ZUCC2&0<$=}r z2x{8hayap0i1_M_bhO7mw5q3rJPbXguHVr2;v(N>M3!VJeEIi6i^@G2`l=Z226|P& zPxJ0y8HB}Yoa zGNEBtLv2Gm7+z6D89tS|3JZ_ZZ%EV^fw#AIv*CUT2*-ZhT|{&JB3fb%IWv1$7gMTY zutfcONAmfpca^ZkB^MYuR0RFxJ=$}rH88$3q}p}X1}V04}cCCafVM`S<@vGhQHAL=6<91+iGOokjh0>Kc5Yd-!XW*;{ z(o!zLZ-_J2_;0ys^nDUcvW-`p#N?q|Cxz+2kpj5GqPArqQvhK*?v@{VYk*31=G7JM z95^d7v}Q|)-W!L*{0(Qlup()9!)D5~|IT;Ok(IHCWgm?D_+p%;Nxt`u#|JX(&RUlh!Vu& z-(@qq9bAGIe$GPPB^wZ~7E!$3=?Q_Oe|gC&(erHhjIE=#dT&>kB3FFJ@1rh{D<3AH7=6Eas%-f38EPJ~&2leWdrdc(PsYF9^39Cl);|$0fJRM3k5)IilGv{YG z(jnxWp3jlGY~U47U8hL=zw=18rpY`I8qO~jd21t&XXwS+FT%+nX?j=p@F#mHlaL#; z&I$r5t~*lBzXDWJ@;Ld+*D->^-wLrBG<7 zw^3APMyXVyVU%bX8Nc)UczoXXuRrhkxUbyjb)LuZdOe@-$Zfooj@FRT#<-4z0RIdBWik`e|XrGYst5e>L_7`uQ@EOlO-& zhu<2PCM)dx(cbD%&+YMOXnU*9RK$mJp_xqV28gT0T+ZGwS{w`a+Otos&JtlXsuMU; z(m?US@lC7wFwE%n`IjE+1X%q}>V8@_0NNjMUg7Qz00%MW>Zl`5@NSyf_b19t8iidR zxOCeG_TTi?B^@vT?N2Y`8PZZ=Ji6@+lV=84?DG-2`6v>SPcHI)r?SE3d#+bCym5dF zho}AuQDy?VIr1M1Lp{wX?2|X@w?BDJwzGNO0rTh;B(p3{hsqa*ubCQAuSRl?oEhcZ zuNnV+MzjD3x+%QAXGw%Q>EMr@vqA7Lc+>7!qALss+fy!8CIBCcSffI?J*1}`eWha( z3)64hOTzV2fbsRbowAA_{JL#G>r#T|;|>cp>gc`IPuqQwK*KyAhKy6jTujei!yhlRZxC})W?Oz5%FLnD6YKDNke_p zmF2_TXzq*6@-W|F^}~7uw6q%`{J-;E*u@~brO6+AT2)3zs0;?lSppsf~o=qSa_x*fV&4b<(O&hCcb;IEBty|xwbNwK!ZQv#K2J!@xQNB}U zO$6;nG=$d=W1wg}IhcAk75XmaxF)0$f%{B-qiPWHHzkR_UzCUj^1q+&iEPJ!kD#T( z!fXssXLDCH(MEx6Q^KrTyAK43&kj^@nwv9Y5CxPqBwPW}|%)NrV;WZNw>PR=>6A91Lx8iq+B* zsn9=dUa9vW83vSRVtk$ifv!1UyTXhwT)4%0i<8~}&X(kxKH7+b&_)X1w<<=U7O5Be za4ryd$;lTDiHL(kvwrlw6aidxv4`wNL{M{^dUmNl00cVk-5uC34Vjwami8IOP^&Q= zk#fx!i_vO2IymD8y8p-z920ZLNOSa0uBpU;RnIFld&hRwSmbru2Xq5Chzyd_pzp z$m@}*AW%j+K^!eNPu#3D-1R;|H z#4pGn8ecRTFoAfHF;xGKOl>3svjpvH-RVf6JR@WFj>jD1;!V>0*&GihJYQ&XP`+V( zvFW*n>}6o6-nmvB77M>P{lgnR*@A28#G9ca`j zCJkirb%)~W6M^@u*oOs_^GocCQufb^2AYmxF}vrfXb!7cL-6&*{%xg_C>;y_?|dH> zBTlZyo-$y})|M%~TQ;9I1a^|!1 zF3KqmZVm|r6o7KG__Ewc+5h#7$Dp_zZuE|f#IX~w>h>FRsthF%qWn;I(7IZsaO65@lY6Y}wB~`C2-oxf<7_6C?#L%S%16Ar zQFYQXB1|mt1?=pW!HgXPHS4Z0j9oQzQYFnm9CyA|OS)K~i%Kzns)~GUxBgHuXQSW$ zJHv;H*2}sKPHo?gkJ+49M`}}g$ISXBh>rmD^E-<4N z1FAod(``y_XcO+{d2tAloOtM`{e%HVE& z^Yg%}OxOq}iMi-n1Iy;C7wtZ!0*i=4MAkIob>IIcxL-E|p4akAjUvA6@wYV+PaOlG z{?EgGr%`Ta?|Rn^=~NATIW`&G>MDxuOSm#7#+wg@l41^TDZD^n*1n1FUMMDbyQtW! z+XZlMHSRaXJ$Ntw=S#x98aRI)=k(${N1XeG^I>p~0Nyvndr5eH9nU%9c^G_eiqF^a zIShVZ$Io?E2f^e!3{~(_PGjrew?e2o-|SepTL_2B3p%y;)q$|`k8eTq>2Q>ie=IyA z1IB2MKJ-RBa#9g{V>`q%w&$eJ7_cXRV7*mRu4z07kzCwLj8BBa936WrOmZk-1z4D>u|WZbtbnf*<1t0o=tspAOq1eAlJIe*9`Djj6LJTMdc6$)2`b-u(e z6oGQDvpePeIOt2^8=7NVQOIUK`%qZ90<<#f-UTyPK~=r4RQ-W`uqY9~KgRW1VOr9t za5Xaoe7aAvAD*m+0qx&?dx8~EE*1SeD7+TF_^g!J&*@=-M~$t_vx-4XuJ`-B%u1*$ z8|vMN76Mh`^ z-zZ-h%Et^wzy+&Xw?LN~(0QaWPvb)X{+!+CK8F-)HiZ?@_M(=-v58!XGl=PZihlJCv)Z&3N%kkSz_kXN;@NNRvRk;r@$>T*O;(JyY(u z;0+j&arfKvG*GzLl18s#2AyA}qPqQqVUp_VmLQ1-X>S@4>(Fapx=g9zSx~vs@jlSDS)oe zH4{`f^x>S0k=iQiEpzd~fhU7u@VY-yP3Jq}ripf6+UQS((N7#f3L4?y+7@yC` zB2X-l_%Z=D&AUymqP@@;_u_NK6KQZ~BEPXZ%?b3(9G&e4W8m&sgu96?`nhysGv_zv z#&k&S&xE5~;VZ$Gao@w*m?-A})uui29G@+fXS(45X0maFz`k<8z16ti6!+laz9ihM zf%DgKPA|@L#JOKM9|q?L;C)lPmxSln@th-`hr#!z_J6IWW1cK2Xu0vX!b9{ofBYG zIWwX@HVT+1J4If|MnJ*%?wfYT4CwQEMt`9t0lZJI+21$GgfbZxfGZ*xa2Qw5p}Bc% zU<=Xp(;4`AgyX#Law>cr{oA}@c=1lJq@4qk)hRg|~Ty7j>o-6Qf7uUfzLB*HV6OG+M$`EcXsWtzp= zWYBA8XUO%+hob|5xfB6t{?c(r*j}mxXx0sN=hgGTWU&29si6!k3f=5=8i)posrR+I z&O{&)v*e(fjfWJq7jz1tf$(;V&7RIU1!SDI_wDfpK_Ar!{rcIHdFzo)# zkQOh1^4#>Kcc_QZ^-iQ&s@DM?KNiz7IqVN5vMW;}g4f|CM`2|0Xf9BYUZ-`GLvw4V z$h{`?*HJkbzH~-Bj(wVB0tcStLp7_Y`!&Qr>3*-BRC$&F)v*r*b2n4qOvJ>g)r};` zh+eHFvrT||mp+g;Cnvz`QR?X{<@#{?duI*Nm7BUV9egGdi;A7v~*>K4t+wrEk4;m&WaMyZA|^;oa_zV`8+ju z(Y(ux)t}DzZx&SNsNZ{=7Xz8AQu#Z6m2li8@Fqp^b>zq8{I&Cp0Ec3Hu6+zc`5lRL zxoP7ZVD-3EuaCT5d+K>JcCO`+r20N(33*mWop<(eb>)H+c~{d>Hy3P;(z@`t7y8`) z_iN(98}IpoNK8rR(Umb8ElUrLg4mAigJf~^z)kWsfH{*8FDlf zDFFlWt3-$A36RYcYvp-11D+jZ89z^td^?xNSl{nu!9B*F>{Zir@TPXreb`2T@^gAM z6Iz*Y?`DY1I*C2ZbttkQL+_00=P60b2mP^55hlfrc^`;6eKOuqDjE3B=bJI!M0}W~ zr6!u0B;>JvwAWW!07m>Q_UVZsSjf&$s(x?*#AJN%`OHxXM}nJe*b6d1W^gL?SX>%> zY!D)rUUmc(r9`$z7ZX8xu6gI?MgsCI>V(YKqkekelMln_-feulGx1g}@}JmUQ*Zkh z4lK+sa`b~mF(aBBS9|#oAd}?eJxQGaws%IN3U_?5xw!X%?udJ=@VSV@SSuCIpBJLz zLp^jh^*r@^(*yg~wfa zKI3w!urSYb4ogD5LIx`5^3D>lmx`CuLO++B9|VLge#8T)xzg||=RujgNi23ndTaEioaStBuOTxVxIDZ}I^x`~6oco3IVQ`KB z-Z#a2NqBx8&pG0G7<_Mv&)4xe41Qn7&-K}r(vO|@3!$EmhO}h31XkjuYXb8UK{KLG z)Ak19QPY_vXm0ug{r!Qb6yK1~dviUb`?n{M&TZd+i+nrA>1)3eQBL->;OLi$<}6@X zB?^W3<^whMibQmt2++`0rhe-j%;dnS+_z}n(0p=eSs?}Rp^2BFl@i4HKqo!{Y29gI_it3%?;Y!fKrrRfq zkgx2puW3Xf(8{07{CqwJv`(u0?!J!RU(=h|m*d$mWO3?H|H*7%G_8{JK>K#p?rh-^ z)I(xye>53}`i_go_CHKDAYx_bjb$Z}Pt?Ek-pU!Ocu=VN5}L`zVY9O{;Y=wVht5JRDs**JwnjvWqyD> zM+}1pUyEfxgM(zsg0Lvo1OAll%ekO7of%5{7jZ~rL&C|@d{NH)gZ3-rE36Wpajm-T z0h!TfeH>AKdRn*1>&~})D4)_uBSqiCazhtCeUwgs5{}*#H+gg~JJ&|pVSE}0FXN{T zst7=HQ#)?)$b&NR zqfy5$1EwlhgeC4?hxN0J6t!|Om_!(D8)J(gyE$QV;i0?YK|lFfwc;FoYSeEm-Y5QP-mm;2D1hVsYmc1Hs!FbgeT ztx^K2tW3FcGj?!W{BPUuQN$_HkI|?{`~3yU^zty2JE-;a6wmR)<*gE+52*Q3QZne(9O zpQ(=2fhMT@B^CZdqW}t#d5L|Y4BmGXJ*S;+hR+W1p2il5P^D1Kd%_sy4rYpK zB>AOS7P|_Vy>D(OS%S__?kBy?ra3S?dgRr~55h=9ttNE%vUj?Nb*w#Z| zXE@n>WYP)w%Q~c(`d^^l*&m+)5)Ki>6N}@MN!N^nx%9#r_Br&==g#nDaCF1uFE)wS z{i}q*2xFsfYAwM1vBp?vI}4t6mbrh^tArB$i0fBh6T#r8o1&XZ2Hc>!(6CP;69#wH zyRW`R9?G(V6GuMP!?*TIfyEef^LJ)tWdX7Ul0c4#l_exyL zpd*w(V)6YZe4OdsP%bgbWX|n&pGkB6YW zqI=aE|B1(_AGoMU=D81jZ?rf&9h&UA4#cqa_uP@eAk?vGQ%jx+D`U(Q;wPG*!r*79 zJL+GmK0feT0OgjCUuLW1BC~?yO^`v^7lPS6zi^aK&<|Fcr=7l>Yl7$$Ipy=;!m)RS zkw~#s^`EyI_nYD#JlvOrdo^(WI?n0Ed5$>u3+Kb&909ybN( z@Tr&P{NsvRV3n6IkTxuVl5UaLL2j0?s89DO4t*b-P4IJcywCvrTd9@QEY-kg^eeCX zLlbyJDcG?M=s>YworQN?88F_v9!*J83rsT6&HUu(UYx(faV8-VT8o7kOOBVoX>xAk zOEr0LvO*wytQGBRH7w*l%@)8+l;V18ts{()z8I=AD}Y3@<)d;oHSlC8t3UW!4W}a-?(JknW7a=I&Z!Qg zoYen*wZ}CLt*fhIq6tr2k0ajE+$!H+`O5)dYvOQQw$&PQ{iG;wR_FnTy~R8_p2xzD zH%8svmjy|E-7Bo8Q$cQ}g76sef`<35ooY=u2s3&%m6DVCaH_?RBX7YS<}+IJgTj#) z*FM(%p0W*ivMSpAx*iW+Ym2I08!3?bo&6p21GFDLwH1{@VT~QA3pdPcAR@oxADR~h zi04)EnQ$2K=DaSD`R$V@fTOd=pgVIU;`jueo^nSX%UM$Id7-hr!kzXF1tOM~Hg1%KZL*0OI~? zWz!UJzLo*02RSQikm+Wku}@h1PWF${P$?H_8EueZmX8 zrYWHND1v!#HwJ{?tou+$SHZnrE_B+nh$dXWNT+w-!oEy>?RVy{s4XMj|I$S?q7hcwKxem2P-UM zqu(y1%mf0o;KALsYzXZ>lyj5M5xdK>DD<1U&nKfcpe7do8t3zd=7)(*YR_G{{zJ+gWYI&Reg%% zL1GL{?D#K)e~f}d&for86O%!sFxDpSIN}j#6lYfV1VgF4!lMDHNVr*0%3_uj2Zwj} zE?Wr_;MR?xeQkEgZF1d{=FnWSgsZEXx_m$Yho_iMvV zuCU^6xip~T!QLuALmaRWlYn20c3A5<68|N{@z=U=Dr+uA1-goC>-XP7IkqeX{wVEa z@CrFs@M<;#9)0_2lEV}MA1{4*AovCC^PbmUqi2qVP2~{Vx_zmzuVr*nuRR>J8C2^| z^=3eV=eS85Ar(Y)B)fuz?Xfp6k~9jXk!M)6f;;^S;uv(F?&0DI1XD6!iHr$nFgwyX zQYae-amGWVU01x}8U2A077Q*%IlP}rf`0SwkIQzlV4dZ*JddF$M#id}ynZ1Gw6Ez1%2%Yr zTHK&rbSv^VdtmKciXOlz(vvv8gyx1~ZZE%{A;2H(_QzQFKu`_it@}0-20d>E^EX{D zL7}HpPw}l7`2F^wgRniyH{4e#@|Px#PfG&!ntBQq)QfLawQ;wPOaj>}V}3`@=K$xC zT|?|fH0V~jX%z{lgZfI$qHCBFCjBe8-Jl@qzw`ZA4DnaK25H)=8;UYf(92FUV2Zd#ohR7>V^_0bptDy&wgUMBp1t|AgZ4W&{SMV^ zOELm|;wb;uHwR1Rh#GKcxQVC0 zv4Q;FlP`(zX?@#RH4^b38AGa{?2iSlyVbtOU1MPTPm*Sh*R^^U&n~+EQXc4UE_Uai}p;Oxh4m!K~1Na{z(ery%P&%jYZC3(KUC^ zQGQHA=bZ1bCVD>!zG0Hi)gFYv^8( zFnTaXX2=>Uvu7>qO;OHibE<=})E90kZ4@aUOonR|A8)cdAWo_~r8s!klfNx?JO|d+KSa~? z2SP!6YS-1INa&Pk&FR~<1;f~DdYVqLu=1hqW)<@6Ouo7?#&8hj>>n{@JLcrTM9usK zSw&84WS>wSw`C$Ed*^;E9X7_Eg|{er66CSh(OD0r?HmB6C)!Sw=YzU&=M#rK8;oi~ zyXurF^7#mSryWE&O_4{bGLI3*6Zcl*epB3ohx?LnuLjOv$2q+?&k^T-;d~gJBY^i! z@m><1U&nKfcpe7doBlUn$LBEryRYNt`YmS*oe`9GwC@Fu9|v z(}Cb}+tX}2H5%0AWoHNc(cb8cm-7=@FZi}$W_G$R3e+#THOn`?554o=!svr4{61?lrNpQ_&=FOZlM$vj6W*wwX*9dU_7 zKB_%pcw8*#mA#dUei{i==He@-ef%JCzwUBsgF4)r(9RifM*A_j(3LYhXpWn;$a)}a z{BeWj-?twS54Y?=q0?|(BrMhpyzdg=ga|5OnDGpSp0@A&>zA&;JN2~Y*{9jC_CV!{ z+9@X(YxQcpkN85ZkNr)JT9e^*{_|l@eUuyh^x)H%gaSA$5})$}`K&Wc)(DS|AZ}w} zquLkb%UxE9`$mO&?Mr_-EjbX^v&+2v%@@>f4tn4-BF9Sr#Vx=7hegRy`6}nKmxd|E zqrH~M8~y*!cMq>DnWU0P`0!MgM>;hW2K|y$Bvw!!u7PqU2z@_%o=@C}LmqZ1Kb8T9 zlsM>ZqaLn1($^mb`(E`h zQthF9;u(hgQ;6r*V!Fbzia1VI20X$|XL6uLPIrt2?Ufad#kwvW@PdXx(m2hFx!`iw z<@~e0L@4@qR%aXaKKlDczuY>R2aa>9p8|Q^fjzAPXuQW7wXo|4Ol9i=_cl@A zPr354x_But>2V0I&gp>?lbB9%hCQ5WN(fvaO-CNuv~2;M6u3!!vGRU>GLTX3udSPj zgSIh~D?80mK>xf)=n~>=r14#5TtIxE_pi8{ubHPXHByB<*0es$!yHULM0{x;|UMGbBxOV)WDI0SXD7y3fezS)B@7`nq8OoFgqT_^YC>Dg#Jmp`G+$IJZXG3!)Z|7LaelBY%>Ff3_LSM zrt$%^{IixOjPf;BZdS%U2~e@0nJKC*7c@>B9DEQQ0z-@Q)iv%>P#E!Rvbi7xqdEE5 zUiEG?>hBe`+V!i$cD4y~SY8mQ))n5%=g)^j&Gia&$9S+84FJjC1rkOthemzwlf(%JE6uJ@GXb$PY&qt(;GV zUYV0syq7co^H$@2Q{01x`;u_42F_o{IlVZ~5$As4d>EV~fcH)DUJ{;P$8(N&9tPi= z;`4QU4ujv<@pJt~Qze(I65YYDqYmg|uJmC(n`cB7BytIWln|1qh44&{$GdO_fVglT$U$rkeM+7>;+qxYz?^w8h zPq)G=1ioyI=bS-&OKtl}n_sBE^nJ1=^9vaf?lkQXe^M7f#}eP9cOE5%|LSkb#~T+PJe zc!e!UC@b(f$&~`@bInJlyxH(be?DQP#ukKIELN=sBcb=-F2*qx2CeKy={(58aMk>K zcGhkI+zy^*=%y!t*hhuG*s~aD5WeqgLSqMK8yR0J_D249e-G^AdimJF0BfH&sn|G8 z1d~;d=G&;pv_Y|7K(hBLW>j@c_22a4r?H1h99?IF;Lqyw=1OL0->nIB_jw zD21jFIkPF@S(lSvTrvIPFwG!4vr&# zUF`f)U7!twSdW+RyCg%;SMJy_ULUwi&wfESodA-e=aqhb4TdcFhQ(B-VrYCdw4~x@ zi~Wn+m+&1c1aiyX1o7fp@VT{NbRYE-v>I=BP9jbp3;$l-m|!H#nI-gPzK(_VF!lJ8 zXfEE{+NSAVmkDn#wUNirmV#|`{>qM14%%xSRK3R&1{S3ECJk?@Vh2upo9V0BgM$8s z#<_?*NYm#KEY4__ z1EtJ4s?25N?egu{Wxh;=ANw=LQVL_>;LoqQ{Nl(LQ4`43&>IB9&&jU{g(bjs8%C*@ zDdiyOI<)WO69KGmjE8uR3-RuvV%wfi>A{PsFw?=`?wI}3(sJ2p7dYS(aIEVjsV^_#d}G3ejU#_;&~W+Z;H>?@i`2BU&qgN&D}h^ zCbVBHDl&)eZUQ{Cm10hq)Nw`hqal+6iUt(Zc4JjG=%$!B?>&N@zEo>BrQv^IJ#ejq}H zdx!1lRpb?jPa&Z^k%@AX@v7bXilAPjrh$8-0?6kfi><ycs)3Jda4vMsUlaj zUgtv;U)J`Mr{$2hc{p@`D?oAmM_P*~xe(G|Kkt=Q1p9~cp5A$v35w=#Pw&}Az)n)$ z?E1b;2)t4F-nStYvI{!sCj#TZcxu+?06GWQ3qum4EN$WI$h#2>)U(|>_H5<<{y#7n z5Gek3;u^fJ3RQAO-X8Bj>&dsMpL6Q&l7xG#APCmD#*9wIgA?eQYJK+x4%ZX8ZuI4l ztLvjDlz}+QB-<=SYYDJ_Awhnpy8zxhT{o04NC2&vOCwE)_w>jv=oSAo+Di(&oBf8~ zF)d#0k=2O9b<~%y{X63S?P2@wIN0Zb>_Do>qGbh$MMyMW49SGJ@z&fBtwMOHXgzuV zxevBIwVGOS?f>)Nm*u)Td^|m1YWp$SEizxwZl5&ExakISbD8`6$-F^qxz96>J_b_R z{rBbU3q#(n+TWM&6JgJik!$@95iX9(&-W`4;e>c%1P4DCHW{YCYtm-}9SMb+8R$Kh z_Q}7xe#sAcN}>og+Y;E;0})ag&j=Wxby<-siH9#|hit(b^&yfK#cKPn!T!z!6@S`9 z@ZqwN?A!?fIy1#MW)2@9nB{Y+p?*~s^S$faFMQ$jxwAR@T$6!|+>ML-nFoy7UOdM` z=Zn1Z`P%g8efl$zuF{{<7~_IN%ukdEK*7l#%PGKY`NNsdU`_ktJ?7+zOWnp-Sz!d0^Hp8cr6g&gXQl$ zsabJx$G8qI$R^a-Vy(-AGruU}z~m60_3El6{0?=Sn*16A-CnxE^Ry_ZrpIt*Ox70m zvks1vyQ25D!Loz3S^(H&q|-h%umys0)8fW?FUV%+`Yk2r4DlbQEBoKX+OAlP~gfl9~IAa*>Va-srKmTJU_{;CNW=HwWb2_)@ zdPb6giE6FV`XkC|+FzaIc@qhxFHd@wqCLQBNv9B#tq0VYE_kV|qJGEEi0PS3KdgIw zS+sS;4+M&&McU6^g4IiZjAatM;S6a}0xOmTnjbe6^uHX&=Gm2dwhU0utY^>IlFtj% zJ7q1@X?O{J-*O0Op?jZ2^;-f2T>FtDk0Rj2Dyy+j7W%xiFydVAi!4W9q zzBjqFAih!3&yI(-$FQ_tMang3|0G#0(?kA=7mN;3X0qxaZdZeZ5bGOzc30`6y5qfJRpyYw%p*IX?XNtbP#XZ9w>v{0-1i2Fm+VR1 zS?+L1F44b#?lN>46|*MQsspn&gT*5%#D&^8TiM?q0$ssfvtJS;pp@4rP71xJ$DXlA zXuWiX!HJgUStU2fV!iyjOEeC)Xl%5qL_*+*`c@6^PBIv_=`l68c>;gW@?dzVD?~n# zT643AfFNf=e#L<>2pyyJ9b*jx$Ew?EbcZbfBg^FSqK^QLsNzk(hoNw3&sfp=xB%9z ze64-y%o*&F$=AI~7cV%iqPan(5CgiChvO)VY_PBwYiki1VZa{Yd?RN)7{(3aoBxU( zfhHc;<2(<2Vc;{@)Xz07Y~-BPG4jO(uzsFna`^5Mc=$7mYi9}hXFV+6KPQC3*VN{R zwD#KIcG-UHxeR(Akkg*!iHwIrYI$3iTw{nRs&8z0?hXCJbv>_Je8AOodzM!f?Y&-1 zOdMZNf$W1n*iJL-M@yT6M#SA~TbYGSd&)kBdS zfxtF7oA%?c7d#^)$>Cu$!rJo}-?sjBfYB}%?%lo!khxA07#f!ZOkIB795-WuX21F8 zFS1GS$ssyG-9QAZJp1)>9s2iF)fxU_Sha^=`Qo-Z%N`K_m4;2)+XQk0GAhHXqacRO zc*UkP7E(xqxoQ1~@MSRK6LS&bwvh9`BRd%bLSzA56nki|=U|<6kR%X(S;=T#_6~)C zvcBq5dj9aJRiHHEXcDL$?VEC842AV8ho%GQk;m6)Je*rA4I&LP8l%zAo4mpGN2wh? z@WS@N!LENX(Bwl#c@uG<8`Fy`vEpbj=%)C<_cR!Wc(E7e(IMcXV74YX zi9qUGH`CXm0JQcrk>%xnVEfYHX3=*GShpSg@iY#38*Ke_tr{JGB5t>^zBmyk3KZ({ z`t-2b!fVAArxW2fato-Ucfuj>B;#|k!H^Q-k`%!b11F2Q)Lqq_VJW%zPeqRx++g1Q z{pG1Y>@P`upC%UpTXN5%NlFtTd%LZgww(a|UN;xr$n8PP)r3R%n+A5~RNC-wQyqBv z#oNIuI2xp0FdvF8)dh>S;RSz@Hzo52c4Tq`Zh}jR`XMnBPWbJUV8I~DQV|GZ$5U#(^KXUA2I%qwj z8FrquLI{)G^$QgVKxd+x_NUhs#O;ndQ}D)slFh3nf#Xr|)O5l{z&a8>AuoYxr72jF z5>JbI`~2sv#{H(a2M_lp{r;a<1Lv>foL-#gh;zSiJ`Bzg!270nFA2}D<2gq>4}qr_Xo>}Io&Ro2vE08;n>{^f;y_io&13?2pZlM zun3ldc}1~NGO{RGx>`WJ#ifsh9IKjbeiRH`MhxGw6;ETWGAf!Hp>c4EQHa7&AO_xZ z)SRSSGsK4b-Uv5@M#3G|XPL2J4gBo+`Yy^55Et@6It|UM9|)+oPRJ(1zjqYl3dw$8 zsV6u%n;Z?5T_#ey`@^APhm!gLdKW%%D~!2uDirjbt62966Ched$m(`J`W|WElEm&_ z#j>XmYqmZZUX|T-w|eRetwINXmOu0a8oKneA&K^2A4z6-_f{AjAoI_kWO4*iwMXe! z_iTVoxonn2Di)qaioOl~7Z3Rf$x~{MXbzq8geiOT6sQsMWS}vEyrDcHCE~xML0lu0!q6oJQi67NRO2Jzpst0KXjB}$j~12x zcFYW$F&(b+LU|UF|NX)qT)iz}?ufZD$z&WNMxvZVbED8Yn)mvuiG@lBVOnQfMOW^c zVC2yYOLwUvA${05h3{=LSZT`%ucF@jw2lARvxsEy45Y$`+HPiD;4Syt-u znh9*CcBIl-UIXmR^ov(fHlX3ZkIfw2Cqc6O{N`5zxYuwRzD`Mob&ru*qlcc@!4c(& z(>Y-Pg51`K`IGC4$ydvI|$}qha_& zq%%@Qf|Iltjk90?qIr7VRiI`CkB94}8>BFwPXMj3TlW3ydz_n6nNf-jr1p=v-7 z-0L|__vA=4NXA8NNvwv#*?h_fdNi;2kfuc`ljDkYXgt44%9I3KC7*Y0{Kpb15A%;nmaJj3*GZt za@8m!U}?pB`>j(9d^$7o%vB=>hUbn_zh^Ro&{S75wdf=e(|Px249%V7e2erKIuaq1 zsh7ij)^+h#g@3fzA!)yHkzcR9IW;O2HN(2zn(&hCQs2 zA6Kd{;iuBlt`L{MHVdY|9IQg^voJZ?7DHUCW}2U4PvmfF^dKQpXANs$G6w z+ZGI`k|xW1+$}KWb9^3YzX)KMwnh|Hj)DaeDNu29#@aqfWFEH+gcFyk1E*MA!JUPR zqelz9^H#sVU13fE=X^=?-Sb4yUwKoi72pRE;~V>5qJD+&vz&{6`(l8D{z_BWYm@_; ztX?le{Os-Q^o|AIIM5KFB{wM{0)hOO`-6Z0Y@>l+;cr(6ygs@2#DpOPJ{Mq~3xS9) zEA*9w_r5-uHT;|Y0||)h)E)35%Ln`|7#C6oIk8`jyOY;DlAwo<@=DT?RAA;mo5C*; zjB<~o3QuTEvGk-yuRKLcQ2!h-JA({jMe&s99=Gp2>@c4IbVpA!BDCkr_`mu=EFmAGe52pS&T> zyW#u6WirHVCp@kl_J?ydq@|7*eSoVoqH$FZ@yVL)+7ur7fPwV!`@QsjpuADQ*?BY- zo;V->8ge2MI-at}F!&&ElCJ97Te}qar(}WMITH)(ylY&n2a}+6->y!mOe#<-j|4=; zCBhy3?#~XPXm9+!{e_!p2>6?@9#WG}g+C2P>V{~&v7Srqf;&Q?|DEp))9(8!vivZq zylAGp*8~ur7x+Yp&N*ZAwfZw@{+P_cwALbN6EMwf)jfnf9ACNZjq?hMAv7obT|XD% z?B6kAR`Mx^#lPjb{Y+A@IQWr|xC&4?MRE20K0hcA-o7BLhrHc|wI7aM4uo&XnPV@j z)1hwvQV7fG9GGpSy4IhO2Qv0ia&s(^*oYoup7(qP{J6NbGdz(8`;)6?OtVtp@a@5M z3Y$3Sso;NkAMJl^x7(MyWsBidmu$&l)XPk3P#0OL%?93laiTHGSEtf0q%NsP!(Gaw z4W=mX|Dd_X#lk!X`QNY2#;9i_e-eGZVLR%R(6+w;3IZ_X&+$pHXTWOUyX^kOU^pWC zr)Q`E?d9+FUh&tuiepVbm-^d&Bpx_5u68|5&VcJtpEpjr`9SlFW0qZP z1ek4a_J~7%=Z=9<@eb_(?)s%NBrEEmA}DW`tN`z641jBZRT7VX=7x#zBO#6#Rt z*}TngG34`q-T0x6JSSl$@{bcx9!KY)9~GM8H0uke7iwg{iS!~}D<1U&nKfcpe7do8t3zd=7)(*YR_m-TKzK|J!rr?D!rSxs!!F5|7yE_)|cc z57izyg|UG<|BtBm@CUkm|Mw|HMk$FzW)zW?9jCp8?7jEid+)vXmQY3!4arr=sH7yb zQko*AB1L}J=ka^L?(h8{+z+~(uk(C9j|2I9$9u9125jtVlzymde0JaS?Nm7H&B3_; zlRiQ$f7(X53!(F2l;%!M4p5o@ovwWui0F)#$^Dwsf#u?Lx({8pP_XNf>m<$zKeL;W zdDxf_UH_EB##D-7u`};Q70yH4+ofN>Ly7M-{~oiR{EO$y`y6qnEU|yvmBg{^fxHJXtOtpIA zKJ27Glv)8SY{j-87Q}s+{M5TA%mt84?&AKJ&x#>_-)qV7-R02Z;@3TczawL-pMBKz zG(st_+<6%6Fpo^4Gns9p9I|~w$uAx+hTLU}f1hP5Kt?Azg0{gK$*>&Qq<>NXt5ok} zUFpjp!9AJuh97=UFJHXPnd%71y2`ijpU4Ncrtl6UoHwv-s^yRH2#0qz%V)Prb3x6g z)9@9ZL;oI9rsDaW0iPV$IpgMw;LEnowdx}QK&5VVZ0R!g$$l=}qS_Mw-qfN_joZl|^J^08c z4Qzh84yW)|0r{6^(F;rE!1-G<<3xN0xYLSiO_Ucwv>$Ic_wh1dn)E+KhI4H#Jc}N$ zJ1U@?p6jg6o;08nP_ulyRSJWR$7znwgrP?D>pezYV`s$kra~x|V zqDOLI#U6Rk1Q+2vpt+`{OFC+s-pzFFc_MJszwgMy{eo*l@mvFKnJ`85yy~nw_EAR( zyr-^80s|>$&3@ftSUU68Ex9iT`^-s>-CHPzx?_P#)mMt)cJl>GVa8;b`d4Y6gZIm? zpPhQYy_pMP;%hslEhv1&+`#>)BT-fs|W>z9e3;oJc`E!pl zA8H149C9v2Ax5gy63-*bQ2QtK%q5)9GCR9|-e9W)4(V@wn&`xTkKT8l9-YE|`DeNN zE}BIls$7=*FnmYWYIoezx33)J^JVCiXK{a2$nE|qyUb-4~F9LK0ZBg z%!hg|0lscpYs=H-VjuI~>hob`kaMXm^&HN#B*?7PUFE|$qH>RgM~5`PB3adBzcKdG z2lm7TDu+TtLIiE|OcY8bwf1;_*B?Ya&+UkN;Q8U^y!LtW9LWDzR#0e{2@_Tg2jaaz!L)Up>BoUOm$wI%hl><4SRh`?rT(EyuwD_Yn7&@(gdH-m_^Fp3c zX2kOnIM}=@RD7EowIucoF5=v=2D4sZ7CGh{4lcj@{w@a1d`r%!7#>mC19}!5~q2p_=Yy8RQ+)QQbJ| z1c^@;+?}oQ9D4WD=SsO!?APT~>W?l3;UzQD0JgCIyw!x?lS!pn0?fPj0`1jH8$GP(c zm@^=5bVf~GDFz)ouKD1oc_bvwjlNQljDXYg16EIt;r%sBhyDJSm~VXP{1<5nKgu8} z(!4=&Dht`P&_9THkOn$q4F{t2@qFDrVY~1n2F|*$?%iTBhC3{;X(}hnz((Hwa?4@@ z6!Du~6}w}LECiXJCHa@ZYRdE9;eRV&eyLnPGCvV|bB$zHt_PsUKPFC#r@2C!$4%## z(dB@QlZAA@mOvZx=+|U{5;(0ssCm^W21%^fh!jhdfkRXH7qX&qaJ=y1hdJImeNi9c zlJ#{**5!9Ym@7-*p51icS<@KI=T@!0c-t1%D_(EyZZ8ImDzj)E@r0`qO^dd%IZ$sM zu)-fu1jlm>3LXmM``ZHfpUYR{;PIc_z4O?k`%Cvwe(KeenBRF&_W{n&w5~+1j_@VG zghfYi{nIjdctaX)oWnV(=gud2=;C0g10L8l6a%fMaF6fJT)30Udh^du%u!hH$ZxkO zgPyr(bxHmCV0%H7)DGXtEn-Uq8I!6Y>|^7v-ybmt*l@z~8TJ#}u&?Ei^kI)E*#*wM zvXwAATk2eRJ`t_PnP^Uj|G)P=EmKnGc7q<6#62x*x`TP)#ipLQTj5Y*HXb@EZ2)xs zY&#K#*aO9Q>)jpP%Mf)fl=^oD=Sp}cucr!NkJ}a59>u@d|KjOvaWGE;t}A`3IT&XN zUoZU-dX2yTxb^NB?_-aJfkHr6E!`k8Y=y51b3Kjk(|0S*6~NbG#vNPCx0X69Z?fTR zgOXhyIxK$4hxuJC?>Y1GfQNtjTmjA_CGBb6V%w7fs>|ST`U}3aW;#*EF zaGEN9f5jIAUJq;A=P>7s^tJ9CzORw66L>^;f;19(I=Ad!ILAPiwi2xb{`(t7AM|@4 zSqTVb_;0IY-rLiea06x65V$QydbaP%0aVVBOI=uQ3bg`MQ$?7kp6T?=Jk3Q9CT#5b zxGLh{5nZZp81BtHmvNGg!o3xzji=Tdk@z0Y@l*SON+>9-u20_im=5o14_eRMs)oQ- zg;qw!BIr1qaP+QJ1>}8Nn_$8oPY!q5AZw8ncxV(3gKtW~Vv<9Ezm+FSG)(!7WkAMfGxL1l|#cmG0-jYr@w!z3{H`e)hT6hplkIskEp7# zS2F8uM?IS~^0kQJTg)&+uRkQ_hCO$KiEoOByY^MWkw4n!{;@fs6}P*9lH9!E+?IUj!e9;0O?X zQ=*qdZP5m<`5w?q$xO&j=u|0^zD;M z;k>ZcoqN-0Ar)Bm*HA4-*~7K;PkORPF%OLF_{pSToUhfIJ3Gkhgtl8G{8OLiLgwOc zmfe2FD6@X4TPPPXvscQ}-Bd|% zZ&Qu_BIb&Au^(E`^znz#$T!j@nmEUOZY)**6~5nGe)E?VVNXxa-M5G5^KieA?rYwG zLb##MCr;~{1!=|u8@ILXLHsn@|L21*L|pX_S#U0a1Eu8wYA+asfD{W&0?d!nv5naMFiiG4R-U{t-_`Dr{vRSg$&g3{;#E zyWm$m1Xvo&*y6k-pHO9loT)BM?9#E5o=61oTF>Nwy@l|Yx{`T)SRLp$SetTsQ$g%y z7Eku)7~o8KU6TC$1Y8;jrYWa+q)?OORIs!q*G%S=W0GEJg$ljiG`Ad;I9Ac{Yxqy@b1O= zpF1MHug#cpfur{;|D;$2yto(Pc5o*ddQLPv9RG#=RGuT-kF^}pvBtMw+9;C#o8Kjw zm2J{3xzUa9AsX95d%=09l6K=a59CiUeq*2g)|aPx`MtT?36vp~B*I002%I+Co6w{L zstfcrI8!W)NVi1~^?s5-y1Oa&We9Pg&lcO!UhF3!xAcSS!E$yqVE97r)4 zWq=Us&Y9S4=EaW6qgy2!*ahLu6RL~7tz4*|DtsnoofG{EW6b?kEQlTsAGs6GD~TRD z(k`ZQ3nA-VIalL&0eHYI));^OYhSSaclz_zf{=LZ=jGN$Mj&g_HavMo0ysN{&$rYF zqiKiNK^ptGkOQw7OPDtml=IZ&_*K#1y^Y3RmJ(WkQqzX-=8{OJ$!c$QgCLk2iYm#T z6GF{OanlWAoM_;#Om&Nq5E@8gZGO=qjI2`}`5J_IfZg$K;Po%u@SFA5>)1>>P~AFn z^ui@d@EUMlSlzu3NUm*Z^)qpxCt}~M-pgSgVT_=rM!7UH;}norHkCqgX3_i<0aB>Y z(c5MsKp4eU@!T%Vr-qWOwlI#@QYdsd+KO~9JGzzFnGBx=QH@W*zFnkJh?%UsERLK8 zXwG+jI@&4$ISr;>m$|7xHiWTv@UkRwdUE#ZSE;vsejKj9nJ)? zMj9^U_{Wjkc>8UiwRghk$jf73J32nweD8f<{D$kJw+?6EO}g=#NCG$Lix{Cg&E`-!8jjTS=4Cu%;-N+P$`u%a>rDb)J9Cznr; z6WP|hKF3=tgr1+*q7qc(M1;4R@S74IJi?bmcr^(AI>G5Bc#i*Zzy8OEAvgj=-<0Sj z5&3l@=SbvXh`TAVUnll3#JozgKNWt;Onp#SU(_v(2OMA=EMcw3kY>TzJjnn>~C|!D?xC7>o2Y0%!OQUpM3HlO&Hw>uaYu2M+x#A5&=(co&lHS zx?yuQ3GB0$JUeb7g%l>uT>f5^L@qyG4^@BWM#=lU@4A1Jfai5J%CEVEkerb1T9$|~ z>b;vZ{LzUA{QdXcH&T{Fugcgs8|s8muiu?G9k)}ZZTSf|z=oCKaejKL#Mf%eBKW;InLwrKAcf|+rvlkhPlB`QAnn)_Nmwqw zT2(fq{xTu|Dt@5(8F zd5*zUUso_^mAUI#m==F3OuSVYkhH3WA+o1r(w5QC)};2A>U2E(+owJFL#Y9-Fk3OW zuc<=d_F%Kiln2b%W!&G5ecVaIPnBB8^Wjs^(*0?r0x)I_G3y`7fO1kE>#mR#2+i1R zj+rfh_P_qDDvd?JA)$iuA~Rq^zKVC(%Mx%X37!lJj6p*2v3|lY{m~og(v?99KXj$a zuyl&Q7z!JI>^CmJc{l0OKrJDhH%=<_YfW#2cC%lXGwH%0$tPIX19Mh|4f-BdA5I6# z(@&1CS%$&e${C@S3rey4$&8mFlR|?5=zm*qbL*dxc?-%(M!BAjcP`3A_ z44#{ss=7MekX4VZN4G&O-gi)p*Z&9tsGLnHz`3>7!Il+Q+Y9jBeU7zi1AiyU+MCj~ zW`V9wx#!Q0IC%H>6IEhNG<@Th-i)GX1h2_&j2<#2K!1@uyx~a=oLKIRYgMWT@)#u; zSIL1hYzv>78LB|$hpZ73_BWI?|JxIuod}b!VrVv%5|CX%u2(tcz@N;e{^X*s0wfO# zmMX7D!#Y)0Kc8d`d?>fydQ5i)iF9R9&HERDC3|lvJ>D0-d+~XpOW6g2-jkP=GetpJ z%0=3I)do;aDU;6LtA@HJrIyUkl!M8Be@T}04A?&UXLs2U{<%q<%h0)23?IyYogTOo z1!C#3EUwl8aLN&7=j}}^i7Fg5|Ljga*jkE zhPay&`*mUuL(J>MyPo=B@QFlRJwz={?oYsZuT9}(k#p49@Onr~n5H%c=OlF$4C*W4 zY0<>_zO7>TdYmT6^z&YDs%@6EPO1R3aH*^{GXm8vR(L%)UIjO(v&h=E5`oG03YBh6 zDa1@oWt(6=KuChOJWGBR9Egf!XQjir-+P7Bx8Ih7(ewV)K)mP5sd{%JBC8gtcHb)Z zBh3Y^1ENRwT4unn6=9D|QGc9k4$!=@g8PZfy<2~nGJvAA=pmf{ap0f#3 z4DJiRYcu}SPL02VM}9Z1!44ya)%HGus2k0fV&x!^D98c#IF=4~ry9XaQ{7xspDTVv_$`bhft*zO3msAU-^yvX=KAEuH zD_AlRkOuN=%7x~tb~tBlPLrwd|K@jY4GY_9hAm?9kZWH7ygp zaImsGuaVgi32*lubKcY7ge;sQXaD6oqchZPJ`BCOaJ6#W%k--=I@zg4SrpF=`sw5h zjno$)j;8$Kk7#`uIVF01-+3kQ#hbP|H5c?wWhRC8nj?}D3iik}Q$wwRUP`MOf#?8@ zL?y>)7+jMLX?tE`2*!_v=z=c?p)%vM92Q}2i0b`-`0^hK5V^6mc#+l=u~sPm&S-H! z*KMA092^KhFFSrMruRpp1H+r6xnTxKl$X1o`nLy)^QEyNxfO&)?6Qo;ot;po=&Wbq zT}Q<0DtpK?*a&q_#isk|Ykr+8xHk+(v}TPBB4w4L~6+d9w*HCsNs$OR@Vg-a~#DGl;?c z!ax_@A}zdk6d`rrj{F;qyu7cs|5UO-d8eKBZBdu?(n?a|eF)Dday1N~t>k#(xFpn8XE$t6Y= z5#DOTZ%TOZ6fge&z9hn{LGafJPA|c8B)DG$ABNxv5Pegkmqg^(iJT*mhav8!#D1OF z!w~a2@vdh*-yd>0JrKSGr~dgaD~^onmK|rKJVE;WCEApb^N3HIeT$P-4`qdR2AnB% z1Np9C=hQvUa1ctZ68pT-))$GT(kM5$zANU%!B=5uZKUL_e54!NdQVY9AD{+iHE*mg z3);Xb3A!J0w*t`eNPpk_tM$H_5*k%mPk*E{J}ft6BLy<#W5T{)!VvGAU;9u~9I$@g z)~8VpKvS%2Q+K-b(NcglHREwWTA!(!t}&ej)}V^pI-+Td{@CC=F; zpUQ33APGZ{a~-1_$s=z7zQwi#9r)?M3FoP?cG$-CtfuWYVnc{&vY9E(;AD zcJGQpt@n52AE$Go1<8r0N2}~WhU=;4Mo|o!HXYG+Nwz>H-}|4JX8WVn)>mL;tU)$+HrknzyYZVD4O6fM7gZEeX9 zy?UkD0WyAw^L2yDZcayZYMZ@DcqI(o^lcOn#P3pX+qWV`VMAo_s#2kJ(+}yC8UJ8! z4M*wThd21LBT><^t@7r-Sfo&LxOE^e1SRcuNuE-6LZc@}LQ`bj&}F9;U6uVY$opyG z+1UGjz;;8`;zN$zfAf2K`}WR{yHDjpG7DpEYomch`IzcY>~*bZs$1R{&xdSp>LrwF zg~IaDL2Dgu^kz);CF8YyB3o?Z4m zeBzi>W~hHdH8>J3(#2;QaXUl*VUwd=xYyS3GyL~F_KZ$$RCLivV-6#`>MyO!wrI&| zD~NMA2WsqB&;72$Jl$XIVbW(3VX!g)k+38}ip*W++91ps)9=2aW?l?&qkGI=Z{nQg zckK(pI;kLeo!`U^`zh1sujJcz2EeBMi<}aQC_F!Oba~HVf9t)5L*!dH@BLCe?_NMM z1i$!G%I_Hu4^EPs?QuwkqFb}4#Ps5zP3BxC%R~-@D+C|9_Q?h=`Cd46D>eaA{)Dyc zbH={jMD|OcyMlm^w*Qd%elHkaqV*@myrrR)>-$}wYoh7VA&UdHIq*~SZ>Jl8(`J?3_8biXyL)n4zc+({y!7oznsgM1YP%e{HIxK`>V=nTYYK5s z7VUqmkPPhO+ONcVaK0*mbAaj!AWnP5`8%~1U|{{`VBVb^@UCKgRa>JA&1{{g+BC6O ztMGPVB)$(+_CI;Yhwr+qEuqV6hm%1vhcL>q1sLpLzJ&k*#F3qMLVu`q)=F0z#-XtEz9%QWK z|Ha-w`M?)F<(S_r7k@WU#vXg6G?+EMM8e?49}R`t+l9z2i>7x+)BKamOo z#uRO4t&iDohvuk;P)jP1e*RuFgFRb2-u?o6&D^2cwrTq!YZ$oBfB(qWf%zomiBZjy z(V+VH&^g|mL})#K^LFbe%)@fO5*&HV1#Y+1eQ^An22x7GAyJn2E+(N%<<0nAeGS zy`7=r+s=^`7z@{I)ULC{_oE#R^L_a+H5k}q^e_|ZPblQ5Z95`a!)O~Du1vUiU*oTR zun8K?zi#pj-_z)m%!;Y1(jahM^2U07KJ0%`-&@`r3s3zhBiSQ!;Q61g`+FG^f%!^u z`#afO+zat06KIKmf&;VD`&R#a2ALs=QzW9|crFYiebhzqFCMOk z9Bg;Ziw3Q$p;xuUyy3t{GK9?qdX5SPfP?|5*sCaM(7rYzTEdO__*0Wdmy+}0 z_n-g^rw#V_ktr~q`e2NCv&uS@uYEy!lBKD5vJiqoRanU}Z@cpRaFHD5#W!g4K4y^B z#@>&fXTz9tem|KRMPlxl)HH9;wVTO68`o@Ko)HY!VWOEd5&Kk_h6>|M5<$hTWZc#u z26TTbWh6)9z71Ju=Sy)(7zyF?+h~l35!GiNlq7ku`|*(vo2me1hc6W>nk519b6vl> z5CJ^RzMVBmtZ>|?=EvfvFfhw1mPCwhz-K_V)4x;%`VUPE1?F79Qg}MuvN{aDzdKu* zjQP9=Z|^fA%Zq~5iS-v!$IC%wEIy(@xd{AE)Y*uvMS*_3oALUIESwK)u}~Jtg)ZF} zAJQGNz+u>SUc9~pqHUQ|6raVz$E>?fIhfaJf9vUf-$O3wRF2pVGco#GY`Lr>z?Bb(hKkxlx0R`&&ewA63f zbZ1!@zL{(L#o>M*9MA<$Nm(?PzrI+R?G48=R@ve-ToK=#+P3^A?y1hE{Mak!3LW44 zE-(ukqUPfB*(Y>Fk?H1>bndY8=%#ii2Y0|Jcy^iN{TX>Y=Sr463QSZ%*Z2Huf0ZPO zrcawp{GNA4wXUpm2N}b0Zt^2%@eNP-*;K$0DrgTgm(E#iVJ?pBuOmnOR}EnG`{&!E zJXk=Psn|sJ!~z7W9Ms>7`lEdg{-nO$fiUA1XStTUAFXaby7CP7GgRFliI?mP2hWo1 zjX&)U;PK#s;kdjyP=BfJn*SvMhXhlTwE6^b-|h)}e{dXf9KKt(rmv517_9E>V;i*4 zM71Yq_i=RNDR)Yco()W%%{!RwJ=fP3cw|x@=O8XKcQN*c`yu)()K_c;?I66KG}bTG z3Qm)h8J;~6031HW(!M1VqPcS^~l9IJN+&{7>ZGuobbc!}0Vqbh~tlS@V?^)(wO7KH^TIS+6octliw>zRP&;z9~n73;T z>A@X0i?_Q^+rg1NjzxFb0-$1MF=Qy$6wjfZ=R~qyAYO$fARr!lPE&@eB3*ppZ`j2n z0#!E1@AsmGBF^H#Ay0I{@+A zZD3EDw?GAzXE{h31!3r?gl|Bj4T>9J<1SveL3E{b4=7jc!MVocxL&af?CqzEjXiN5 zHpH(de$e1RG$m0<^3tH8EZVC-UoG(n@EXge`RqVekN(Ne8 zR9-Qzj_77-LNFzrI;b49IQ^&19_7;(y%RrVfMQmvQnEffqc2vxR`H8&sO9z{fv9O; z5S+?k_Zn1yk2D6>DK_5d(;kpk>*p6cKBIr)W=R4NO04_YhUDhcmrox5fM= zf$k?~W)r_XXrHb%&9{gH>d3vaVqK}AaLOtm?q48G9`@UE!@P^b0r9_b4^@NAh|U$S ztCi4pH|QuMgFpJjui%_QSp_~@gY3mY6~O(zmz@UZ6kjHdG4}n;1;Y?UCu+QhZ@oxz zp!)7bpgHJn?TR_$LtlRu_hNpNkPq$Wg-lzbs z8y74^FP6fALz5FY&M`aei1b(%V4)GB5adJM@B?xX^_HatTIaV$1nT?uYV?<)Oy*)@( z0S5ePOVVSPA!$HQ;8ILFWKrh!-H^xp>sGx?5}Ysm!XNw1a4Z?3Bptq-wZpkualOZS zXA0mj<6_=tlRE5|e7$z(b3SmLCcm>x5eG4Br`c9&{`IYCrjOikv;}QbXWcE&DtP^G zq($!IDUdO({$do82^Yk2eh9E8K-indarbe~%0IBlGes;Pd{$LtoqXc}cF#^t85Kg^ z=-{nB`ir@eFGKDW|*Qb7}!dD_{Kf zaqP zw@YXk=WYW=`jdXA!uPD=zTn^aaEvr1O}MxW)(^5JjI0I#>-Mq(InD`Xk$rzG?v@Mt z^Ms0Luy2MYo$24r6FOjb?A>#khDsp3)r8-a@Zb@?B*Lpf@Ye}WFTrypxL*VxhTsSg zeN&>BMC8|roFkEkA?~Kcex2CE5c4|mt{)|{%Zwbafi2fks@q)H&qwj%R@?Icly=)# zsP;uE^y}AO;W}i8^zxjGNpX&FVzrx$>}WBhW<8a&o2r3OS|1&9w;Wiz^|d21vl8rD z*k9cd%!eNZE&j5CRbWyaI~d%V4s-KtqCWj~u;DyIwu&l296aktV)W6An?L$@;e2W% zg?RIyb2;#S#UXEJEfci)pNT9{MZ@8ZI|H_9`S4dl8y*V90L^trtxtZ25PZ!vMUb`< zuKxIwRD7@olFEjT&|fVAS8kFnmr6&R6S>yxHy8%K3H}Z*3+tfvF4cu|nw3BzrZ^a) z)c{&_XOw=~Il))1)VuR+g^&}qYcMgY8Y-WT8zvvc@0O}_q!!Lg$6pue{IaJ2^1Y^<#$$`rV{uDtrW5a-pE_6>+kr@|1!@vK9;n}Dn{(f7-ZI^d}s?dHS$!-C;)Pw!_X z5IX~#4jkp6ko<90Ppb?Hrj$I6dN#n$z2jt8FXqE(vweH{ah_DRlgnbjCJ4G{A-V+Mw@F)7$yEXlO5UyLnnZ9h`@DO9UM|$l z#vL4eRs~l%JuhuuDTCZ+hc-?|R>8|Bf2!Lx4?@tAt);@4Ed;S}j8IKRz})YZ!#{5& zK((RK0d)$@$EUNVavjfu8$zEuS?5Y%c*K#E$E^f>6&xHTY&}uJ5%<5v$|WF@r^RsF zy9mq^6HAx?-vv#`&rLnfgsqgm4{10LHoD#Dx3{GR=;n;XeO{-7T$yh{ydC}?GqO}- zHmrwn|A7OUY9Y|2a3+Ta=bzR?1g^y{7XjlWX<8zC0W4pCaKFejANb8C@2+O2!h@;e zM{_tQ?qc(9E%Iq9NKD()XXAS+4BQwHOml~;k2LyUCt$z)#WzRgY%Jh(x?a}xtZ=xZ z>vElM)C=m4^jSr)l)}Q#^3&tT43MK7%U3IoVt7Szy3c6$B{;b=8}V}>8Tb2HqnlDO z7fH>w{&YetcqJCkU!q6=hKNlqW!!I4-?r)cdL;*#o->39V2{oFu_a*(gB(DWjrSfg zhr^VP$L~Y;c~MO7o>1m>UC7~Q_RDE3fzg)2m#(~L;I~-*RDf+NEUu<}j?s*Pn|Ty% zH+hR-k9leW%foEA8@nvEjr-=pYci8>f^&eO`n$UIP8}R3{q$UKZ#kUY!%yL>RSUMQ z8WfB@<*?@rr|H$sOz2<}zI`XO8j7#}@O?9w2$4@O)pT1Y0~aIB%q*8LjH!pd{1lxF zN7b4HgOWX}TXIleSyMBm|Ch(&Kz51IxH}b&w$~Jjxbpd7qev_wr83yq4)u=9xMdccBoz|4^zL+ocGXYxhmoG?zeO zdvI-3N8*3pYQk?yc<=~c65-V#`0E6xm*6=P+%JL;LvRF$zA4d5BJ%4*&XLH&5O-5z zzfSC7hXt716&ILe70^CDJ@s%`hpl)#ts15}gv_xSg? zc+212RlrB@d-a%iF;KY`jJ|%Rk344mCXQZ7gqPXH(m%#hp^B;`4yuzuY_98ut#3F$ zZvE=`3id(sTXcB5z#QS7tlys#F2KEY@^sO^IA^Z-^45k%DMa_X-*ctRgK_T$#NlZT z&JFvRrWu1_RISqFZb~Jzv?Ujdh!?|(;xu(AM=dD+(2qZN(;hO!>%;>U@IK?~MMcN{ z5)hC5u`?5jxyOe?idP#kN9$Vn#ZkPUeQq|$!#a@;k7Ny=&+JQqRlXj^hl+R(*yO60 z<*|m%H(pugz3)v&H5Nb5c);1iHXm9d98sKS zzK4*M6Z*E}f3)p}FPw<4`nP4|1a5<2GwsKHQA)$#xWUwLbUDO>>)JZ*Y4Wq~f0z)C zUe7hw4Oej>{fAfJw1*D7{!;ofz(O7g?F8+-E-*qd^UgPoemSB+3X&>@m%d2WQ%JSr zm>>F=#C`WcQy7|5zfu-;BnUb!9$G|3yCLt>NBMdVM4{eZu7Ft`f5dtHO!{tDOT^PJ znAS|;hVpy+O<$TuA~Nc*jCa!k$oQBgX=+mhdi||WLc1aoRSb%Kvz~B9+4T+@iW7mz zWPkmhUi~2SuQ2$^PLV&lr4paeF5r$9%yXJv+Fw9PGIhe|DTB~8;~wei6e;NGj(Hzl z6NDaBkNYsxxo#{Ye7_fs7!6NzR|fgx_`)6r?im*}?&tx>*Vg+=MICD7vb~T) zHZAKLCr9M;HN92%c_7Mexi_ck5`+GJzN|OwAA#IA<8m6G*rO)3C$o2a&!X>pZc|U5 za6kw8=6;sHF+(rk(Qf4I_kcZNd*lA7nq%IVPV@C4U*sa)sC$<-5S{Ol)(PHnLUYe2 ze=r#+qr+)qOtm}FXo&nE5BG~;lu8mSxMv^=u}7pZJgSaC^yfeNJms-N>`c4a-_uzk znd@W!S`Npc>wbx|ryn|_l$gnDr%RlX$8Y05RX)+^^kctPZqH!UAiS4B;*lPDGR$h1 zwrGzkO2+@SW=ElN!|yE_$JgZ!uQkq@aXTS_&i45pZ#P8WekA=Vl^g!9{U^oYE)S>u zK2Z+H`kweoq(%a?%dbwuBg3-@tj|pG`!(a*rlKujFQgi?mB61fNU$$sI^sN zP%i!clw+Ej=*v*;nnbHN`sSM0H|`saD8e@%G;>EGoeSo>-c?#5`bDV-=k)+oJT0$~ zFk%6@Wv3z*vYe2g&Yqq6n@;HavD*#{XQR;J0oHRxa{8!FR)}8wg%5fmec_HCiw~;4 z)25&F(gP9RYQk?yc<=~c65-V#`0E6xm*6=P+%JL;LvRF$zA4d5BJ%71TtjsJze%wqr2^dM(&wvTZN(Hy8a8 z=_|K_B9j5XnKN@v6rK2x#omS>GQ9TW&d0d_>LW5*kuDe#~mv~)y7xK6Qzj6Rob=3RwEJD)W)f+Ci+P2 z$I-4^Hv*7>a_K~8Q8)_T*Vxk(>WW;QAbU{L1x?_7tlx1lbW&jDQnBYAyeIKWR5sT~ z*&;?91*!P=D4}@q#8eEL6ikSqPP+49CwXug-e z!xPUxMT_P*f*y;GUE2%$e)+%-nTO#KRj>c{GsBv!@jwnl@9hwod6Ef3`KPj#vHx#v&!ww$xJSmfP$kKLzYm%gx}}&; zNW$j12<=A=&M+lUVLwA21A#x6+5Wu2djfXGVw{PnDZgtga70+pT+sk641O(zT_^xHuGMggR7 zoO=;CoCklEpZA=m%LOl!MNPYkR50;Olj#1H3e$fI+&oCzAF=IZGs7)?sxI6>hTB|{F2H0+cF0F^i$}^ z@c#!V(`t9&g;JQgy1TE4DG^Hk@$}56hd_u=RZN=L6S-0vg?if!F(fNH`E$Ot3{)h~(J(^1K`e z@|1BdgZ!8Sb+2Va+T0kO)z~e=@fr6PCGTnTP}{=d+BJKzKQWjG`qTCGu__?lWdAB! zb`tUSJ~MkuoevCm3qwTTxS(5RoaszU^6*f6^#fMZL8y~{>r`JY+#yvh;-#`d&!p+H zwv2G@baeG-@Jmd_dUPvU|4Kd_=x&uzz&_CGy|*J;4Dff6=qLSNuL?6%V!h3{A^ zi(xu{F#r3g+6CiJzVPc*zy4wRT4?}PSh`uS&OZqRr{=b|fk%uAfro?`o*uxO>I`OU> z1wD*l#ow>JKQqMH} z-SU@z_PMJi_BpaVxw#8_NdMSB5%IBzhDS$VC!U+Fg!%FX{V!kgfLX7Pf5k5pGV=;t zI39+9%1_c|=HJP%vXgRlZ$dKek-B{Q#vTe!IeJ1I#^WKfG_++U$`ACWeD9W+J42Jg zhb>c&JaA3=_rl1z04SNZ#fu;1f|ycddBuW1yehFW4%PJsA!R%9tyb(K%np3yxs?Zn z;Z>;@PgR4Odn~_pW)M7c;~2ERiP^{nMWw=e1wbM{D}1OY6COrC{;idt3YGiVI?lHz z!g{Nq9Fr*S_uI{xFQunJ|EHBdG*@vii`AqzHA)%QIq%f}x{LdJ98`G)J4G=1CAY}q zuK{Z2|M6}4bQZLWizU4iNQ9PAb*iSy(-6Y)f=!(c@0+?#=7;zjg4~OD!6DdFea@+K z#ruvuc(<+Xm^Q}1n>|(J6vwlnZzrNvZ60$CE2j@s1l7Uo%GCa0hcbA(TISO#9uAgl zJu}88nee6U3afEF?(wx41WTbD_;a6!USX^nQW?!}WENsxkM#8)E!Z2q8m4zZ)l>=1 zHhsCdbNm10Bh{vzjm#eUBbwf|_A_y2*w3kPf=ommru@5O6K8`_d&jU3#kWvYLOE3P z^sN*Gfql)|lcUIWo=b5r&N=dbOuMo;b_hye9ekrkE`;V>9Z5q3RZwb>VE~h;4RRVI zZRiFoWGMZ>>1DAw{NeDqUf`_;%QPqKPh+mc?N}N01pbm4SX&06oj*De&I%*jNnG zMcIvBRdv@*ApKIs_FIKOv|BOJWSAFwV?M2wlHtGqHitA%+@uIZ%wAM)<{KihH}laq zw}2R!87!t6=?#X#V`odE-rB(W`jW#&lrsw5?QzN2(+S2$_c4BIQ%3j_tYazf58qRM z+WcB`K{tcxTExK>Nq>gQt^IZ&o%db1Sj!5=vre0-$Jv2EDrNQ}odz7&Vh9uS#$N5o z`bV2TwBXckjs^8<25{62_5RxH3SM8H1*JX@L0LgbHp*sBXee#Z*-cjygq&)=YGwGr z`9YmGoDS4zH%kx8pxkjJePS02r-=np7|x@(`7jiYerXF?d+UN&<)?4IYS4j^&ZUlm z=kn;V-x2Oh5rIg){}AW5q6?^yL4Dcyy6wo`u2nI2$RoB%oN~ zlYATQ0LpQ#7X)8WFSYzfptcc}A94jm;&L8@(Dw&RXST`pPA-z@;V zS@yVWci1737q^e}2$>@1hw&kc<7Vh_-k_u`tu0!_6pWlBdg#c*qoe769nskjwqNLJ z7?9!=XLVhV3le|+Udg{C2*RB*xdt9-Alp6iU+pFxVaQ*H;W@Q0a7=gPoUx7uco*+A z?Qf5K0|U>womD_z?=A*@6m~_6D$%(?_712tx;mJ;2yZpvHzhoHgfEHkY7qSO z|2Vz><2e%CFMc%uvTZq&2eEapgeQ~avlsxMlWm@I9&=K`b)=TC~asH1(M zW^v*qe!y^5lTOdx9qG-&9|>5Uqb3C1BiU*|EILm%5c?t>WIOZFX*L{u}R!FLt2bJ<@R?t zf#v;$7ytS`$sM+idU|-=9A4`;ytVFjhKi}}MCv$U&|%s&-$~*DlC}p17*kxpYPqnu z<#8ZvWbvq7G4_FFV_Lu0{;p`EBu`$DN*(Mef3Kw~2E+b{#nZw#XOi>rg>R-n5Ey*Q z`S5GS9d?JjRMG#fk75L)9Ijupgh^2o#Q~OL-gq+s~w4eP=Cf zihanlnwgcF@$la8?3)vZV_-qcYIGL>0JGx=4ad7aa1or^G>sYhv-nleT2TfIijRUnV zFdO}@$Z|OZuK>SFSCbXM#`D$cXYIL=HpIBw4SS*;t6Di!)>7ecH;JbPQz}^6@bFmM zWaHdqaM-?!h1iE=d14jwCe7Dp>tA2Mp5X7chaV@oBems}sedW#@NFV_C_`KtRlXth z_+eE9UoU7~<=ilZ@4b6Rerx8#ibu$d6IBBUEXN00hsVI^j6xxcTPc*)-yNjE+|RO* z$Qmb{-@HsQaQPrxH0Z}?=`3N+$GO^jZ!E1!Ao1J0+|o!qtTB6LtwjgJheFEICx%j> zEuwjP$V(GJ&fdr3Ipt7glIap4?F7@eu3mqfh3}fpExMnFJm8`Bt9q(hd>4KYe8YNo zCPa@mb-tsFf}6^ruiNol^`Q6hWtF`b;rQXx>h(IsphdcUOOCD@=jNPprO#D^>~X&k z+Nl4JsPm4;vVZ@-?2?&MMwwZeMOGZy*)yvU$=-XrxNzBf?>*8WibSU*Nus1gr4Uk5 zkuu8f{e3(>=l%2FegAQHhwFX5&*ON#p3hYDoHfm2C@6)^_1ZaJ?pVm0P1v7OO$3{9 zmK$y)M~v`~Q6hkt0!^!)Y^?+)jw>WkKb`@3D`*O*F_vwWNw+DC}Ug2&r^ z{>S9iu(bn&8()VCfHjQqjbuawI0tQr*9ZFmrACVBZb<Or%m+=^7Gs~;c}KW6`B{Y*oo@}pb<>AvZRv+p<1>64-L@oY2Smt=W39rH)y5v zc3%P5>XJ5V&&GgShh}xkxpHuO*}k|iodthvmk!0RAzw|v#UrNup>Rmzn3cnm1eowL z_UpM!0#9>-?kTx2u;EFd(oP^i`lIlh6azkxEy0=8ujC3W;gw%WqsSw2e{<~6a5nU) zn`KNFXF*8XsRX|9KoGtn{qWv%U$CkQS*Uqd2rnKxdMpsLA)rr6gxahEYFWM=eeyO8 zZd+hWyY7?k!=8&3o8zP;r8`%|E>Qh&)r9Qh1i-YBkgN`g|W5)MLo z3jE5>Y5yh`3P0iGyBB`v;Dwdp%bE}(G`O>G8eT2{u5&q$`@3y0rFG>antJIl6q)2> zP!(Y6maY7d~#Z9&*jlTZolz5S(V+^iBr?WbSP z$dW+fchr5ikV}FIt`;;do z>{SYWK=*U2gAh;*bsP2zJ7;~ctu>K(>&xNrib)|H=t=OlW%!9Tdp2-a#j}vUBCc-M z10B`UVxZ$#GErF!!8pVv%LSr};cwh^PI2~HCywjKIkZjR=;mc81}gFUGh|g!@TTX<*@pcZ z*!)sA{mxo2>|7&!ss5D;)kSN$N~}IuVhN+d1&26Tm>W!z*pmkN=N>MNpj=DK)=&6# z3hg12qM{d(U&c>CY>g_V2*kdpGg$vF2ZCT}_@|K)7^+XBldi3V;a>-`FSTdE?_;OM zzV1ziHFK3H(ryJ11-d#P3S^1yCvM{}zSocbxQ=y^A_6Z7M3H_DliB}umWB7Sa2BGHeS3&D5x+7VmQkS9>p zZ8RVa^v>?SebZ9{a8%Ib>yJ#h7{YM%Ch8HKWc>6@%%$=_Z#C{W#XWeqFA4W*;QV!* z(~I*Qaqbt+hru}lc;6K7CE@vXJm-k#Veq{vK3~V@F!+5PKi7kGcZn_Rskue-85S3i@@01;~gr~f++J_gKN$H7BY zIl1piIsRtQ%xd?rw=xfynQOvcWhO&W`Z0ko!N|Y%Q)N;I&25hsAI&&1?G8DK(mb1I zvY|D#+SEH0dDwy^Me;5nPLv<@TPnosethS%%iwA(tSm}BEsx@cr#6#P+g0&!;l#bz zpQoasvi7UB40$Eo(K(csiaaYe(cYdLlu7WaiKgyyZ7J-}zAm7dngO{ZryfoRqx^xF z9I?H#9G0I@rn&{@fYvZqrl)Z+JSO_^e12F4{KNTmTP{VAEZtqv%}@!?{tf3^pGWh? zEMig8qcYgT(PvrFM!-hL9>2aKk^0~He#DPOAXVuyc1GRrcEYTJflnAssZ&nFR8!stk{jN zuEVsLBV0>XvO8i(fbOGK5y7J*I2|fMJx&(_uHD_~YiRC%dFxNfXS)iB`Y!M1##RNU z%{j!~{tzsibJ3*YdnsraG#>eJHKRKKF z=Q5$~(lrj6_8`E1gzM9bqTEg8$(MnF(Li}m?oeD&B^+Pyj3{4o!I%#vE9cOn{3zMN zPS(y<`0>H-)YrSHueG#dR!(0EE1lRqU7tAk^2015=0_5U3&#H0(oF?=|4Q&jJ)#qb zCrg=ZYT(fqnnGW-BIsT81E8>u?ef2i~L|e^LV45fMU_h?|;(T^`w&Lja+J=Y=kEBJL-D0h!;P z2K1bs3h61Y0&PRVoD}7H*py$5a{pKXpC=A}c#h_)`SOk9(pVe(j6cbxJ z`2EC;ttEB@~K&E?R#vRRrJ;qr5 zEu)Y}uqKe*?@~SZgh>>>{+J24w;K1G;vPKQmxOyYaQ-^Z>BV`DIQI+Z!{8hNyl;y4 zlJNXGo^!*J89<(sTs(HD6pq5+_OMGH zOja5pMIp*vihTOfCyV&S@x*1l@M`EC<-csgSqZJLbs}|QLa>@o%kGgjnTSuL&3HmJ z6Utx5KP+5If&Atwy$zOVxFyaekU~K3x!uQ{_uM4FgvR*ZY8yw8;;E;ovqj$BiF5LI zu2(_)mG7o=#C%xdO7sy~(1b^6$HhP=1|;t7b=7RBf$RUa1Q#BZ1OKtbqp5{;&_MUY zHCR{-K1f-RnWJ3j{iH`Zaw1hQyf>HdAR!+do5%Kc781a&r}|6O_dF1N*%m)qo((q@ z_s=9CzZeIzty*m$%HNp_MG{Yyy*5n+p$2O<8Y7aE-oMV%)GY0xHAXj z|HjKjPp5*-?@#8Rl0|?<4Kw0+mI50^p`UXILBMTuKkb!IE#wtPbBxLoz;EvZ!QPED zaBhv^9a}1gr$uz!mFW5PF{!p>hO!ZuIYQ|Y`f6b9g1ja*Zx)zHFG<=CmO!U=vxQk4 z;=$atvtmO(kCd!{TRaPO&=av|rfDS)-V=u_HyqG?!tOQOBiAsjK96nI7wwPm`}-zw zBTS0U0c4AIKHWn3JC*y2Yn#ZsbBJ^1WO=+L>Zezp-IgREH@JC79rBG9j>z?n8D+z6 ze$5?UD&$dfHIJKO$_5(x;RA0ki2$+v_CfU+a|j904YvL6i}rhULrmkLAZcaSWx#F= z6lp|N-+tsbeO^#~!!{i_ud%*=X_x{7L8`VME;<-3wJ%bmpnv~{y}#yM5*)dre=Jjs z0F}o%{tUFo!uQ))UMS*?B)yt-U0lck6Xoux#JUI=)3NK6okRT2!x^U!h8KWOR}Gu- zt}DdWP<5Db2Et!u_CN=RWLQWOqoO&N2nWKe3L`HjK=R&T;rkvjK--d$d=>TftS*oi za;6bCG=pD?XAXG}_VbB(9`pv8Mjm3WOgtPEnl(GO%!@gmaQIiPbs3z(v?MHZEMTv` zOS(PE(f)C6Yq?P9St2EQ6?svg3 z{d-MC^ll&+WYblUn1dm*(VVy~9Sd##d&Kq7ecy4G;u224(*y+K}{@6s<@8S}hgB7L!LvKzhcv}V9} z^z%EqcK=slt}lGAV>`tY6bsTJS;|lL7J}ZS*jY8b3=l09C~I`f1!Wf93L%p9=|J8l8L7$u4+jgdD+uVN_d0-Dbl z##~E7er+-tswX$?bHMdf>4UL(PE1^s|JXCpL`dRMQdUkk#JIjtu!y?IVAcoL+}5+M zz~M9Vd!F~@A)n^wjktf8FiqXxPe0kGL11KWZs_}9*f$fxW%3*OAQ#QV4oi|CMX6!< z(+mN0G>#qqKR)nB4jPh+RshI{^5jk(j)T`r*MmankzX;9zL*)A6AcnLbb=KHw#HHcm43sh5br!`1=5*Ra+XYpEI1Oats95 zhHO^jEKlSk4a_Jn&VT}vo&7Z8knC5M$oeE33mp&6o^OrKh2Et_i(Hl{5LjaHkUJIo zpSK$Ko8lfk+?RxVHE{kq&gsQ@jyU%V=fmI}0laUD_mc4ZI-YaH^Dy|{6rZo-a~S-- zj-Tt_3^Zhf+X$$rdG+5T{&eU&a%0aOF9O83UOOOqHx0x;QPG_Y4?%Ol^}4{OY%t-S zh`o&R${*~U=L6~Op-Sds{lohKP&5Bpo@OQr<``GRN)cDFjnf~fw7o%rOK{b^ISQhc zHI64%xIvfu#Sia)8Nygn93wWD1SSR_4FayFKtqK|Ytx^2Pz?mHNkIn~(VLpQ#qS28 zljbK5EoVYS{ofRUCDdz)Cg*u5mkS~c%6@D+m*I9%{pXA59N+kqHf=4N0(RPcir7*d z7;EORxwA!pCRR`R{9p{qg^rVlpwD@x#+T3B=g@syS!=#gIT((1moe8L(1yG@USYo3 zC^*~FMi}-_2Ybdrn^Cr1m8pAQ_5LoSd_mJlAwNeLaMR?v9sbJ;dz=3pm3tcihYIfb zr(0XVwcteyF~ku+`0B-atUO>Wf0`=)<@7$<7w}QCy^+y{<(LXbXh6?4NTtn4( z*`H?&S+GtRTKcUP0;JM2XHPT6!(!BgCu>GLe4S)yjA=-O8RHbiF z!w&wS85B66hThX8g=CxehM{>iV|LjXdR_$ih=wFdm4kdq@|25ACD=>(RQXEC1NGSC zKC;;>K>wp-aI1j;ld&xKI_@L_>5Aa!lXf>y4tMY=N9V*+qfqRWBx(&gNHm?7EdcMQ zzn%@vsAD9(eGls&mB5}rXBkiWeDFFFm0FyHe72*b>Nlw~p>^-NA6aM$bSfTxEj?ES z&CxNELIxx_WGq`_)0_^5GRY)u&N|>;cz@^eQy-XF#HLp@V?gEL*P^w5C@)|g!L?17 z2R3HIZwi)jpzp((khjYzXdg%7bvDR=T}Il&d;^)tyZ)xM@KzyIldQfxJ{JWkWEi=_(d!;+%c50%Ne+n*yqLzjG*lUlXLq{Ay{0?bMhH70Jiy!p)$98czoEM z@a#eZT$^wZe#DCQ8$#ntl;p@`eNn4H)-(Y;r#gxG1OiCTzMwUaL4Kv8%pT?I>2R_8 z5s&JPGN4LTgCl7FAjYSoDoz&x7q>G>ge&_Yn&7WP^-2t*5)>5c=qv*8Xfou9JBQPj1;GH{hfhJ4`Ow??easW>J=)dM_9{3L;6yH)tcqePcnJ_QUs=|H zB8v+7)v^+>2+_V7e5@Kqgvj39kFErbo3c&o|1uz&f47TOzY-p`$@c8TBtUJ$ZFfhsD z)7j-g)&0}^d+S}W+>$(Q#zJFkh&Sl@j9DNwnyPN4qh3g7tsH9;k2A)dLQ6xLRSYTL zS~I`2CxA|edCC%H0l4$hZCIShgN-L`y%lc}*Gg=OemfKOEw#Q6B)Z0c(7NJ7N7PeG zWp`W!qY&u*tvoq}-v4%LQk|Rw^1&!@D=#!E9Nee`719uI%y?0ip+P+z8WqaQWeDGgS3rE&yFV_4U5e z6tKKocdW;%8a@~Vb&Jn=-rg$$2&#&V-M?4RM?@jUfIzETN@9X%vzE=2S{aRNENab3Y=pw(6 z;oeFW-XFyzN-XXX@~Z^*@zeC9bV{#C{qG#)6VMb1UOJBnaU!O z0_PJ2ehXzMLt}cZ@P~ZlIlfwci;P491A+4c$u|Sx=Yy8Xp|^IhQugj`EoDA*c7_-p zKUE0JJ-cQG(z&2o%4ld@=m#|+bK@?$L9m>5cC7Cw`h90I_D*||57W=tO{L&3#n{EmjIqF|_3Br9xD5mw`&NaQ>Co>)SzkIz&HVXkXF1WT*B_kh2ZuV3} zMmF;5(L}8c=Rn)VqR&@#t3gO7oQH-Z6XHgAiFD(+&}zVH@^;f6W8y9yqC^~Q{QfR> zdw1)jO#qgwosnnrBM$mx>mMyD5a5O=$BcVr2v!;9Ev!?n12Y_M)@^~Qz%csKX=1kk ztn4#}Zk~Ed?g#vH;*H7W7 zzv}u`K9w&s9Y%b)zF$W?>incR9ruDf=sX!~s2UT4x!Y~q(u${pkcaaVo2p!tBj38o ztdk6V%3VDa$b=d~Cr}N(B%^28O{<+>0o(8hj z)24IjesIOM@YGT9T%hRp3mkBE!XmP4OXYgQke|1X%UCWJIAxwhJ;+IgFRnDN{1I1a z=8;-~ozP>ykQPd1@nnmCpLTvB3e4l#u=QgSw?dkM`)J`E~+ehdY>Ddt0* zOY~4U{BBJv+ZUt{-3-Y2itgtcibwp|JuzFdGo>9NF<>7nufes1a+Ui-sLegIAg-L; z_m4B;2Sp7iF{$`~0i&rtd3Fv^D#{gXT`huMOXArKEFTPqts;J~mcXbE`)hTM3}D~; z>9&#@5%q%JZVdJnfdCcjnt%!c9(jMXduSC0Q}-14H;HL*bFBSJ6Z*b}u1v6ufAE7n z!;8azq7ldEQ}kxKQV|eKJlDt~1u^W{CASH*znD816}5WL50=iZemhtaj5#zvk(aPA z0?C=<^T&SV1HEE7E^2lzm(M zna49VjJCKfA>$MYNC(M`-9N?w`%ZWB-Sk}GVpprv^z#7CPHMO1qgilkT8pJvI0244 zT7BdGHV#-z%FKf976xe;Ui7jyDK#=X&q9{5K1fSHqG9Ds=eC++@J0fwA zs=w#;F%RUYPe>)BI+pdHw;K1G;vPKQm!$MRuLjOv$2q+?&k^T-;d~gJBY^i!@m><1 zU&nKfcpe7do8t3zd=7)(*YR_Gv^6X0xoZZ@PW+F(V4@eN=)J~${MVwV) z(kh1fW_O)A`y0k%u!!6xZ1qecL^`z|d!0ap2>!<^wZa7OH^i1ts3Q++_@pw=?QBrI z-kn0`8v&AU^c5~`DPh(}C{OOA%|~-I){zc0Hze~Du6|ZYf}e~ECj=SnvAitv8Bt?j zcr8&&9WILak9pv)haW2Km3t|!Q^)_gA$+%#V5f=Yc3Axagb;SJ_Ujd}`RMLtd zuI0?f_QIqvJLo;l_EGkJ7DR@OJF-5E13NlwWuiA2T<>}YtxaV>{g#1~6XIHam3kLd z*OCgEUSi=F59GnPLJpEh21BCuwC`PUv`0Uhr*YzEDCj%M4q+6+U^^hI^yXd!SddrB zW?c;eHmbjuWc!O?bHDeE%HSBNT%0_9Yy`a*U6(0fLEek4+1AS984{$+@6u*mC;`Eo zsJEghkNV+iD)Y4obUu`3@T>>tf}8SH>OAy$7-5mQC#shV`Sg#RDh?ygq~Q9U18Dzx znSZl6gbR5|hAXR%aYkT9ikA<$1SkA=zL(Ri9wB&Iz}BTAkud5cI4ABs*EmCj$l2+M z=FW?V@4E0LBt985m^4n#q4#WGeZ8f0|0>v`x;0miJb2Ug&MtjW1@q3bd|ihRU>5T4 zFk3ZOI4rSI(DEV%JkL~?q-rF>Ee2onkZCU%*ps|vJCck14z6pTrAlE;?zmFCU@7$9 z3}u{2u*N>fY*ad$l|c3Z$%JajLU6io~&)gfw*@Jl`TW=FqKE2SbgjN=IY*I$w`XX7S{=(H?NDqHE{QW zyLb~|46$7g>XYE#eM@P}x?<2~plSJ=O@u-cMS(95I^XL}=t*k{@b|e?T0P1UyjIEM zU7)H2PjwEs`Pvw9WyG!maUa`f`|kxQm4eUf_kx_hj!@KQ z^N)Nm1>|q+X6m0LKsYhtq{(stjLUQ|?m3+e*HE44(o_uM5AWu1+M?&(aq5*#mpXV? z|Cg%Gr40VfkbSQ?Rs&m_znC|=E8yb14NHbj7T9@|hR9e~fsgI4dxeH5ccW#fDETiL z{$Ym}_|Lk7ougO-KnO#XrC!Oe?k0*WHlt8v#(H45yLtJkDuhw z&x50zmrO|oHkbtA4(H?eD_H8Z;&da*bJi|(6A6>GsGs+nAuZbrtLjPAGz%_+&F;xBtHhbTW?isHR$dT{4<`3I9qTKEp5aHz7{OKe@HaKxC z1zcE(1W82TQ2F<)FDvf<_;8F`N&RPw|GN|Gd?>-xT-Y z;l3o?tAX>^aZWGJbHuq{I3EV*2;hBFyqARM*YTVqo`=ErrucjvpTpqyb^KhPTT_$o zTP}lZ8+x~v`jdgS-H|t7rxM;i&UY7eE`mA^(T;B>CqcMRV(xYe31WTH-^W}_ff&!L z{S*Y`XBB!N$9^UX%G*$)?jY~+OM0Pjom!`er^y5O#z<<6*9&3B<*IvjT?yP7 zoTc^k%>{N9#`^1YF7SFPo@Uh|0s>}ivu@~C0zI#_Kse%Tnb>*+?R!xTr6tq)f2Q4l z#J{S_>6-&1faS5Wmw*oMQ0z~^9QZm~%unx?0KM4p;Hat$5U`{;WQd;gDdhzn()uZI z_x;BR(VHaXrJ#K4&us&1rZqOYq3LMu!SnLwa0%Qc)a4l~m;mFyBo3KMbbtRfzUaP? z0{^NHc#_kLK}8uGk7qFn`1a8|_!6DrX+l&?Fc*4nU3u8^_fH^jZ_#wA&XOQej$CA1 zpb%`_(()s4K5hKfjSO@&EU$<}7;pY##oY z#tT-aLE$J^&)*1c>PEZ-_ommcJ%ca?;gcuP;}XNR6;n%ZqIp$ABB6FT&=AcERv!Wxsrh~oyk zsahlw4BZ$ktal?pqO-X=8F5i$4^f4y7$m?Q`bIyI&&c<8uq4h3Qf6PL)>yEw>j!ZeHHf|{tTihAyAdA993k z3Bs3~KAFI8pUe3m-x;I(lTq{{#0Ne(y1lM0i-HK|rBf@2XHi$stsEK~2_k1zSFKYr z;g-^Cw(m6F*juH*=r}aj=+|?3Ap02QKq*d`lL8XK;t0WT9eMcLTvW(kzP5+rw0%eP z^=y)#ZlAwBq?4A}?HkdC?Ul&EZ$<3YS)x2aspouG68>;+s{}LC_ zc1O5@b;HKDmy0pb*T}9^Ye>n9-%?~^`BzOpA%2L#UfSuDywA>Dd z;|G49dVz9@C$0G=lP>aMJoYj{nur5#AZtxG!r==A%VsgrDgoGGA9b$f5>@0i<{YDa zmIXU5mVL2newg)p8?|vqbe?29`=_CE1(y9sRh=x*`=`lEY6;^g7*e#f-?yFy(me#t zZV_8h=|0N9-V_6rM~78h=+cmHx8RBRz9g`XTMS=p3I{2z?gO_`ZqoYE_PiLQDdzMf z)c#8c%B_m9R*k&~hxn}Cy6>y$5dTC{crC;k=Kei3*zb`9hblRn#!85ws4iwzz!V3| zX9rD;M-WHiac~|b;+ZmA)|~M|dqs-vHkJ*&9H4F;n=rZ^3H5b*w%Jp|VWcL>&YkE3 zjpyo`m?=}?)SnlYDm*SQ;87IY!XN&hw;K1G;vPKQmxOyYaQ-^Z>BV`DIQI+Z!{8hN zyl;y4lJNXGo^!oESMtn_3zQ47(H#uQNlS=gWS@XGShSYf}HxXe|}8?z^|R{|x{i zO+EhbyT;&KcPPl*HxtqYn#O;UqkN>wdv6vg#Ia;<{icdIfeT(I-spdKh1cWUuJ$A1a9&f$uqnL)Mn}9*e?0-(>&lcg zxiX+Ee{a%1l+)yYXCofI6pebBW!W0Y$Cn^;Y;M2FI5i^fqKENH|6NB=zdy<* z_9+uGE8ALGg$jV7>iV*MeH|RxQ@@aKry82}tNRVP*1_j5SFS^)Do|K;UZ^D?&UALY ziiIjVAJ~L54du{$i>Qz?yA=pIQT$)3CJSLR+{)~qR~5R4o7Cp6RzQ8}53nKXeT3$9LK3FJ8@sS0gGa?lQS>zuav!`dl_#rQ_T8in#&OAD>Ko@+1p{ z%swz2XD@)8wy(B!A2$R2`0Dpj@@NYzOt^I#h}|L;LeUJ%N06WIY=kWM*aCtSUh*^4r~?%Hbfqk9*OfJ0EN(Iix0d z>=B1%#UXkFy?1Ksd5nt%z$x?Q?hT(xI6Uu`tF@qtJ$@bH@90<#M7u=?w@24t%s_#> zYA6Mk49QN0NqpR23vw!K z9?Finz;=oIf<4+FtIE&q{Uf-cl50@4r3FXH`(Y zVEWtLW7I@gPD-Z+$}-qtj5_0JoCmuCk%E14@j#W*$lGIqIM0;NUvyt@hT#b^z2U5C zxE!pzXK=6q&GADtsD^65Qbw1a_Z<53m)sYt8tdSt!B!wgaT?Hc$DI7KnhCt}R}|?r z1EH;#oFrj}ctKynj83}xfab`J+2dD}K_wvK+npQrps{+XrQ?w#)_y%XcIQShh;7=W zpZSFN0__ZnUPjK?t;yFS`u~D}MKR>_8OKK0Q2O;*m*9_0RelK8#VVms+UMbfY!Xzw zi4|CJD+jvmj>z{tMX)Eljrx5~J{0JfeS63q1{t2*)nO=aeQ?{+_Ar{iE`8uw7|Kq9 zSzE$KiPn6Wa5~MBYFh@Ux|wY<&PD)88}o!&A+IdM9C>Cz4j_Z(yK><&pqB1Dz008q zJ(Y*<2BV*A*XBV`DIQI+Z!{8hNyl;y4lK#uD|1al==V9=@DL!Av z=P>wv9Y5Dq!)B6SK^@$SX)An)a)8V{e_8!Ln1IoAo1I~865MZ%vmQK@4PoYGhB+TH z!R&T;(;iI%45Y|^j~2;=@trv*JyrC5Y_{;;<+cOsCC_LDxe8d*dH&u^wF>-75vd zPZZ*6*XJ(3*+yQO{gkiSQE#_GpZYx;ny0R~$m?@$pt=5EzE9F8avN#atts6_VOFf|4=@+&T{sCZ+7DxyyvTdb{56s4g)hX?N!|>~T4Vc6YQx}<`3c*nL?UQi2)JJ?PJs8M4<;=( z`QYn9vFML{;k$-QcZ)JAfR*#g7g>o!?AO8fvn_~g)X!ciEQfMe4y)M1!!fx~eKbfu zx;G8(%-6(R8AN*pYkGSTlNu08cVpvzp9_MKdLGhSC9rSb@1MQAb+EIFT0&DF_8qmYE_1 ztA$G`_n+9=rNFyek4t3o@`2y!@Tb1hHE=iKxxV#$F*v;1K3o!mJj=Vw|0t+rp-!+= zmcum?7F?sc<7RWgW`B;@t4Dqq_m-5~rvfw|B;Q@*NzQ<^*1Iu1=Zb)fn)_%5datxH z)A?NX4&{xgB4;1Ql)(g3)SNa}14C`j_jGPm!7;@@RRQa@@OYG>bTk(2m%CC#H;mI^ z(PPXk;YJN4q@`OkxTAc-N>>1z?~(tUE3h3LA}zvD|{m z@bt}kghWpbe5CkLI=du}DW#9cUM1$hb^kPxa+5G<_}>RB_o~kMi2fJY{FuGU5I3=B=nV=c^;i0DSp!VRw5Dd2KX8`|~TyfGw4D-Hf~tl)t{Nrd>;emt|YZ7NbS*>SHz;_uwBD zKH0rfeTa8(@u-n@k5?wVn$Ob}^{oH}8rfp=7k=>bLdSago+22F>4c-H>7Yfu*61TlsfH)N=_ET7(_gR_?rdtN+eH-^y<9<`zgNOT) zaIXf=U&lGUIL{I1e&Ku=oFjnuP4Qk5o?pjvj(8ph-<#s|b$kwk-`DYTohSNBoU>;Y z?2?%u3R+6UK2a=4@*K*9ZCS3)MwE}Fy`6O>IVc6RRR1*hTLvP&KfPGu>r(KK-OlGl zIg$a1Z?1*Py4WFhlb~N;E8&|qh5C_K)e!1`*EME62M9LLJo~LKVPDLO*FUR-fN%NG zPsOSls2(+DT_d6U)D5i(R;pT9)w{R1C(8%>%r39F!e0i1$C}xnOI5?vN^F_rvs`GY zi*!}W@PxdBWS`z$ErCMbuP~*Z4odU<>0Y97U^1I{wLKE$Tw__1UtM(r@+_?j-|}QowaFMr#he-{nd^ecXd` z5-Z%HeR2~u;QiH6*Y*VRxGtPl9=VwW=dC(v$@Y}Pc<5!{KZviusl=DtrcnppZ_1_< z>}sGjhC~@vi1t76t*-KSE8tGEeeY1KkcN7g13A29~l)w`#t?7_6}CW!E-Zm zn585@7z<@=lUp*zx95hLNKPiUvP`=Zd^7>e5IEg*=A}R88u&H(Uz%bu4PO zi@`JlR0y_Hu^3yvjkQuy3Pw%Hk>Fc)!VZM^KJvS+2sVzsTL(shvE=j`Sli;?ay0hy&NpXk!!RsD^l89Lc>>hde>vLk#sTdGuWT-U2*sG(|Ek@M zb;bTPuW+&nxnk`E7RT?t*;veDZr^?FQCO^#eX%qo{pWpufP;5;RSIKC&~3tFP~;lgF-!B6gVZNN+_Pyhw;r8 zlQ(D0F@DnTVE^DaELnc@%V{QGEXiTD=E~pW*x7EbP22eh%tmI)&1x$ev#=@?9QhiB zSv}rI{pQ=T+mo|K$W@Qu?QRLM1O_GnHB1aSZ3-LY&jI#9|`Y`h|Ju z6}V!1-zpyMOF;9=CZ5w+haDD2vF6zw6ojQ~9O~JrjlmKkZR*rsr(?Lc8uy#x9z5Ka zgnKpq%5VO z<`Hai^2c{x#$cAS9~ye69Wi~{r2R*podl=#uA~ZU10Y_{JMZ0@hRqdz{OnupkGYuT zioN#nhKsXxJ((1Vn5IY;-Rob;Sk112YRMHoY@zGd<8P6XaE+uS5!Ra$V!8*xu8k9X*J zF2up9r6&`Vu}PTd+3D;8Ei=q6fA})Jn;*2DX`bK9nu_VI?&}QuW{-6SrSko1jluf( zsLX@)g0Pf=8>h!uqp?OUJ{jpdI@r6PT&G_-+CbUsqG27?eQ2(9_me@O9Y$&S{`T}c z)NgdRwy!)(z!Ve2PVK!Af%U&DGrnc+g<;e>E!u%3ENoeZPBb$P8&@ZrnjW>l5;MMg zTv8`s8zRYSZEgwJ_pWh^Z>`Dbb5`?4`dAi5*xI3$@gQP%iSOq<!ZNo?)c9KiYet;|-+6gaRT+rN%DN1d4 zRyi2EFA=^KKVpqV8NNMypo|D)T5e`nbTXl#W-f8ACmvqwm)r`F&jhFQH4h}Cr7&te z;>AC|g`wKP(!-AG5)3=?pSy}UFb~}xGUqz_LgL4_B20)M+WNKagNSD$w97~4C5&Z) z?1e`oi6Rl$TG=yoDwIc2(x!TO)hZ2m4vh{;qnxMmraVneJn|n=9M%-xKskNw!tSB# znUG{y$i&?i4=FSAvHMYe(&O8Ws_xHO@Py9mXC#Dzgh~6@^=iaTD|X+dT_8c1b=9Y{ ziwUrE*eU!O;vU}*!J2KJOkMjKGdbZb_j(KB0xEU@tu%r3e zns_HyRzAqtu<(0JB*4dod&|efVj+Uz%p4u3HT>!Mt7vP3@|O?tD2A)TfPB#BZX@D@ zxs0Fl@Q}`ehZDJ^7{v^bCX0MJ(dG;Mk}p-0^tiF#kwX)v58QxQ15A^o2#6SwIeQ}2 z4HFwV_v{Kw5bzk!hglmCpk&Bm9YcAv9$w>P7$w?wuYG^JA&B}U#0eL@dX(>Hx36$g zM&Gx>h>?+w3@93I(Kd|A2J#V?nBwmQFm8U)gdGfnsQK7?y2LE>`T6(Ns5}G~+HP|> zpm_+pY1B(`%S0d>lKv|!P6C}r{8ZC^0cfAno55)s3e8*6r$uG5V028~?}RdP>Nr#z zhlrx*C+{`tmVZ8Qj61u9yCe{!Mg3y70}?=1B01aiB?Io%?OrT;;ES1B2mSbl=7nd! z9~^pXb_wl2J6`pp{hg{!*)&T_D9n8Tp7qI8C?F3Iyti!w5eZ}*zR#l}I{(UJ1&UOd z6e3p^lp;Yu{FQQxqF`tY*ACu4kN~IN&2a6RvBIc>4y<1aM}6C!vwZ7k!hlmx`Qw9q zs5hC=G{a!$1ZU}H`-$(+`_QE93oqoI)zVb$PC~tbg^%l$H|jEAS^QeR^J4;3$eve{ zp~wIu=^I)!$fq+koP4fGJ{&kB&anS@6AW)dRqJ26T!FABry9x8oacwa0hM>Xj*#=} zGEg*z!k;D)m5rV-V4z5IVIn1feapc|5s1?(Qa>qrJShrrZ#C{W#XWeqFA4W*;QV!* z(~I*Qaqbt+hru}lc;6K7CE@vXJm-k#Veq{vK3~V@F!+5PKi5|h%FJ%QNB7vnK^)9w z!SHQxR63k02$~<=kRZNsg6IQE&XK25;fj}&$BtqEbcRzTZ?WpbpEc`;dP*6fo1mP- z=${2fFW#@k^+uz4m)>Rmq|4Z6g%3>xEf+A`)s8Y~L;WhF%GsDOl$-7pO=3370*8Ms zXGDLyVY3_$1|Do>!hPrM-TSDw$n!|CCtHjNiDire+^0mav9#e-nT}-OeSDt2`eYb% zP90|OeC`4XMrtQ-FOgtEr(}+6^D;ze->^0dN4fKDf#?0BXkS3?A4WYC2uW`CtfnaE z`6#dJ>{t-;0PRV8JYRGW#JR)yFP;m9jA!rO6t(-nuZq%{7o}Nn_n-7}OLBBxZKmW8 zN5w#fOtW2GdM5M^W*(r3hy^OaVhdGz#5=Smh`0!4K}Cpt)hD{sv43Ki!th4=@19!pu=t&aa9xywC=0ppX@ur_M(m{Je zB5Cqu98e$Iw&0G7h1VKm*EG%$fa8+(V^x%o4NlZ?E2fMCaRUv1nM%|@mp6Ejf%3>D zPohJjHc`G7W;o?UqCtW1{rHYd8Zfth{1Ypd0`_NqG$f6pUast%>)*N!Pp=k z4nGJSxy%#}TV_i2tDrJo)c24g_Ig`=Uq=_)F+gi}?IuQnD3D~mLS`wrz zsL}hi6Hz}TLZjiXFMJ#LwW(&A1P;C*-c-2e!?@a;K2fJE*lYVop|Cp-h_nOoq{(!k zj9C>oEsTYPppLOv#2+wmIiEF@7X~l1bUf})#z4QB?Y}Q2;b7PBduX;H9%9B%-Xt_% z1a8hRKABAs;IeOzrbaE|7U*xSIZSe5a=)_21G*csgRqRT0EH z=WT$O@=2N2wH$~X8{BrXcEa54!}ZG7B(9O7uadS7qgk_3U}U8_Pg34jTnp!NEj2jS9Hycr8I;C9p7YA1~V zyv1};UE#5Cj!a#(BLVfH2CMg})Ca-qiVjcPNB%I$w>x0L6bAMND;t6(iD2-ojxpLK z9$viHP`pi-057X6HD>swFx*>>`%Q5V9_~xRy&5=w9q07oJV%`Sh4W!>jsV^_#d}G3 zejU#_;&~W+Z;H>?@i`2BU;po1zvwWabv_Qd{J3jn(Vm^wS4H->fEy&9IhS{}I}xbs z4xRcoa}wbRpz?Eb)66jz_iTNr1D(p68ix7bms97 z$DbaM%fA0*f>kbLlQjwG5WEmifcni!PXNqC>={rKN&(OM=}>B?XxKJ?_4k5A0c0;P zSfA|5fe$`28~T4@U~BbP&|8!f^k}KG+NY2S5vx`oU%pC(&M^U%9n`buvHJ7*|8kcj zRBb=ix--FF*0Nx3+ztCFq#Ub984G0p`;xh)M!9lX5?b|Mn=(QmXgLY4Hfjez*O`In z3*WV1?#CK)Y)%-gMLn!0UP63)0m9dKw69f2vGA!hNC!WL6;bmu$jjKvZ@D=v2NF~D z>@_`l5O_4hAcYdW_n*5ZcDpnPVoYRR)$?58#>wLErmy1QC#d7q4%!S7kt@Jez?@h>}Rbv>Sz9fIRUgs z9znd(@hg#N4!r+V86(Ou+#3_NMSuU4^Kg@k^9m%p=ieHcL)@UlAf1JB5YeA#M5sFx zfN<}Qu@^ZJIL@~Z&LeNYspS`^>fgr#@1B$`p>>q|pcCr<8JGmgvq8Bo{+EGq`|m-a zb^`ox%%ko-b_GtnGZ9j83xSblC$?`lUBQgMr$Rpy`9QBpNqQ~=<}$U^Rx*+RSwA^i zvmFb-Y|Bf>#WoDw%NCmyk?+#<&EvfSH2#n|wf^YZ`Cw?CbSCOa`okz`xfm^|VXJe2 zDcvy>&UBU6zxf^m@KeA%P}3hShYhs`KGgyF1Bve*NLV4x&QnjdgcSIm5-BkGP#+Vj z9$2OE3V{dRR8`rOe&7?35t(0xIITlxL=1_Mz|PldH|633-!D9{-p(Sz@9QL%mFs!n zGBaHqpoRKf(f^OA^Nz;)|NlR-LIc?&B_XnB)&n7XWs|-4-h1!8_Z}5Vl!TXxgtC*Q zQlUZ85Gwti-*Y~%_pkptr*o?7ay_r->+!hXZ#Tok|Cc9gj_2kjYRd+pKhN^~P_D;` z*xt}=1o2uK)q2`JLV<^RVDgDp7>LCxQtjOH0ULkqaHH@d3HbMykddT#QzEEsjvgXx5J&D zwE3`SQZdw>V2}L}{P5t*mlP1XFk>e3)(?ov`9u!QrGVL4vy0m3ycU^hW935JU;*`= zN3V}Ng0Fjx?$P`}aHMJa`E@xFh%%Z!q@eqg5nI4jKG8V1{HLvIBq#+w?+H_93fhBs z^RSoLR08mbK7AW45d$fb<~EiEh|ip76hU=@3rmO?RO3Lopq>E^tJ6b4K$fe(-xBW$ zrzj<8O=7ZvK-7|*Yz3Vc_1`_D9>u}|tH@hZ`h0+)v-eMN1%sNr?8<0hIG9p5#`rTO zz>EEhQja{6;LeRZ;eF_P_NKtmuQm6)VYLMF{ut~IY$X-coZsSLsbkjm&3BZG+Pg&8 zfOtO&!nWVCL`AT&js8FT%o%`tt8u?6?!m)-Nw`-7=da_OUYzHMbH8vt49*e2`=)p= z3D2+NIY&GXgYQl8`8qy_!SCz%xlVn)CGgxq6x`UO>M(fc1~xw^CYuq*ur23t@{W!V z3OW|bn5h0W22cO4begJI5R-9f&Naz^9R*qARf{-y6D)c_ zi#UvgCzy)NKcl?#Ig6v83PPd5*{oZ-7;(vZx9TFxWI-%C#l-Jn_AJX-TZ01S{MBv_Os!0Og3*VWKa@aa%4XG-Ioktz@k-Ry! zsqksToNxJ-J@)Qmp5U*B$p6mwp@fw0%04=9QNgDJ#SjoVDCHO+ zVgdis=(JyLk??oshTz_M05G>ansu1>f@`hB!$NYtu>W$M-s6NDj6IR^-D-~mnCLcE z5O;&%$PC^+R&P+hdJta7l>{NV+hn~n%Ai;nBl(5P6nu=fN>HKrt^%DwR6`epIxa zXq^lJg8kI#ukYQ#Uff`@YtRdbFJ!)>sPKb-;SW7y5anj;LsZ|7SxfLKTKO4qF$mU_ zb{46lj4+9y4W)DE&te1T8=ev-DPzu?e;;NiqyNvbRmE>#ZO*Ej<8 z*CSYK0!PqupziL|;n!coVKSX&;pLz+(30y~lIA@Y635^TI!_l9>EgIM!Y&DHLx2hSL;={Vu1O{T{~A9bu`D| zXZIZTfv$({mz+8-!^!Dmdc^IaK&SRgm|_~`5N5Wr9{QvA@) zK5AD7MMLeY%NRdFF4Nj84U8i0`;gGSDazlQ_qUu#1TD8|Gu;>!>|2g8PdI55kd2j$ z(3W|^n1_qMW>_#dHPY^fQy`yDL(YYHX=k|S8pS)7We9{O$5TH4vxPr;LJK4M9`L5N z=O{JuXVPMB$8sO}!~5RqJ{>cZlCgalY)gjbW36Kx_1%GR>NvIf4G}NkmMVCfKja5L zqrFIK?6fdV`JUe{`;p)%>e3KH=M0AFCzgEv7{P_LJ~Pqp;gF#^encT0eLow$|6%pq z9pvWz9Mh?c15+Y@@tipq_{!tsGA!!@^cmrAuDlEcbFx;et&1TbKEs+el;;VQN3!|C zQXHU6V4Z*)}g zwX*`>*llT2VOL0`@e1as2?Fm&+h2og{9z%sC;P9cCv?BBb`;o0`Si;guKV$bcVsmt zcJ{OnXdk}MUSDPhYO98tk}1k?Ccx=>thYM^H%D_%*@c0~PlY)K!4uHrG#Bna;Rm&r z25h!P?r<~>J9@wR1S|Wrd6XZc3cUIlog3Gd*+o})|D~D2#5oweZ#KMl zZ;JtQ8nH1=^Bj0#&Ph!>mpe_;&6viI?Agdq_=b#+!B_; zcDQmt;Bm+S|6VN2#ZFb}p?&8j^)J6ZsmsN3EjxcmouKqf^yIXzbfA^Y(#>bUK_m%;=~&L zw*NiDc^U3|l{XTI7DC6Jqrpu7!Z3gC+>H@SCtx}&aa$R28oP zyg;*D@;3!AI<$P@PDBJ|Rw76y=30pI8}v&Vmep{hv1e`JC-R~e56onmrbBdG-0QX| zOK{4t^s+Na0j}9n2}Ln<4;-yK$EuqLuicL-v#3;pjiTnki&B&)P5yM1)FcjMu8~G0 zrmBL`c5P95cPu#aUsT~AL44#k_Nhvl2u$|3!>)CA2zbx;>E*9yfn<@;!nL2dppa{8 zJ4%=WW&8gmr%kXjKx0xjTipp zuZYonNM8v(UkDs~uG!%Yk=VP&X!cg&EEuSE=4fKO2+d_3&-#r}E{y0|LPJV4n&j9TQ8=gYQAp zt-*?}n3PqcCBeBAU?w!0J&&I2){D=5i?J$$Pm3bAF7So`=jgHRhX&d3a*^KuE1K&h ziEJI2Lq1xKk7cm5&*X5#I0LAH78JgpEP>n4U;i}-s01^*w#iaiG-um2GdqjC z4u8}M6lYE%ZjBfZqhot6(8{F*K6-Z<9HNN~yE`Jlto8TePe?|6*m;4dO9gO`?e&q$ z`7#KNT#+e3J$Zls!}pCWfx5@p$Qv6}ahHrg7Q6kF?B+Y$tI1x!P zd4a}UIQBri3dprzO2t1bgXm+!_Z$#+lEAcq*s(1V^BuS9^C2#WeW5qQ{-c#Zd5znx z)iet#HmcV96g8`$HCz#ul zbLKnb!n5O@3Cuc>2Ki_Uzi3238N^?+D`hmV04-`)8Ts;b zXy0;J<0GwxkiKN%AO8}t@WG!K+$YojJKxvT=#Ln$yJCUS)%CM=sPC@Du79216^is$ zpXgZmU{WD7mvx>SVnNZfQeoU7@ap4UF5hi5KV=%uGY*REis z2kh}_^5&q>LRT&95(cB4-L#ey==~1pH@EPq7MPT9RKpm`az9Jj!5HGw6CxsHDg#u z^U6fm*C$d@4~+lwes_8t=(^V#DQJ3ub&!#KK#K&ZUdpw6si zx5vVY74y%ZwTINR7K0asg26&uE&A_rIOsca@~8Ir!<&ExHjOO{;N_`*-m;Pin=K_f z^+Smeu}C2KRe(o==LsL3Hn= zJY!4%%vgrse}%Xa(*dDr5!(^qez9CwyT}%%^vNdIr+h$)S0ON;G#UP0*J`_dk{0t= zRqvI`3IPAZk9utp-%Fa|s4nxKBWCtuP}FaZ1UpB-qqO}h7LKNVzP8fji2VrWT+BlI z+%jiLo3=(t;Bj;cutKl%Y;;*zw3!E_`rT0KC`$w}d(AOWvAlb3J(weS{1^F3?`Jm_KaSPo|Z5Ds9CDxe! z$eIX-H{R~tZnKA`-&z{mQlVfJad}kth95XD{AKQX?FY&aTs%qcCc*{hKcxTA=i;c; zxO%=~9LQ0+7%DTRK%()JseUV8P}B8jmv8rgg@kzG5HASH!5dLYf=LW zqQK&L8Yi&t910rG^Mf~kVmnR^aZWGJbHuq{I3EV* z2;hBFyqARM*YTVqo`=ErrucjvpTpqyb^KhvKHn8fpWzElp8uw5|0rXl{kw@&?n%H& z-!>N6mjcJl1TWRR2?Tc@7n+4Pm$8S`0(n*mCO|!sM%94sLk3@iUMT^}3o}3Fn2Jw= zBD#N@A>Izy9m7LRZ}bu%zGjMv=Vmf=i?fPr-U>$ibgRk`zkcC+dY z9eF=s=^U^1Shj)-@`vSW1u{a^?PwOi3_4 zydzy8gXV?*TBT+FCcx0iRxna806gY3^u3;(0eM^xSJh*Y_jA8q}zOjL08RS^%B?BqejA*YUzmIvglUsNx)gaq%RZf(_5(vJhyy)CBgSgu80K*70e|_DPE)ik@*9KG1wB)tez1d%U& zD6ask$LlWwv{Kk^=pVxme+{q%f0_W2r_vCxJovayP8+PfXm0PVqj{7ap|2FJG1L;& z7Sp?3#J;I2+$oQb3I@S^ur&jWG7MYZu_6_Jc$D+$_eLbYujKkHJNvuSRJsv zTPmXEGM1R|R-WySt}T$fx<$*kX$)qBOx2+?mSE5QL&)g659&YN8p#RNgNBE8OZHuM z05iX@uuJFxb{L{Qyb{8ua}Vu4x_J(9XHJ9$)eBt&nQ>3cucL3Y^tCw1?+dy5)?%OR^U39LdarIlNVSi(m z^Q0FPq2m~t%jF_v_%+cxtL>@?smH_VUK1K%W~yDYEJI$vdM}+mqL~;IB^MQ&Qc!_Y z3|f`}Js!vdkXU0+WdMq_6CPbkYCs%JF<~&xfi>R_?mRwu9+K`n`A1djgjFaNp8S-- ziS2h?FHe)Y0<-T4`IT;n!wSAcm`TbA3L16f4lWpCJnZXi zLtm_5@AGm5f3*=*%m}?;6$*l^r<+fg>Xl)y@0vrjz8lO=FMlj1u!d9q6c5PksS#J4 zW}Eh`E!3V(s1bc`j&0f>3JE=a3_DB|a^~E)47U0`$opJ@IYu6MK5%-<7HeN+%bRPm zhM5#is^&l`5V1YMGb3vSjG!-%3mGgp@JM7pbRgBT7 zj2Rrh?yo~QY5+j+ihza32p(qeK6%HqrSOn!^4KrF%g|S(bZ)*&29gD@*1BYA!Uq~> zafSwE$hch|I74g#iMGES1dn@z>7KjalTk;Y*E()7KxPFZssq{9Xr2^kLH#jff&**F zPaWX05WtGgo8OSQXN!@vt^7WT8Kdt5c3JCiDaf-metAUE7i2C!38eUD0#cU=C0<3z zKtZMWX@X`UIC9HT>w}-sf8J``Z;E^Ha9v+x)&%@w*Q+&RT&tdTUI)1KmOjCR7mUzNPwrsQdTl!d7(X+R|=k&0&&Fl&0(>h>s z>o~z5$u2RsR&d(#=|8SV_OE_X4{jLRB>+1?0iPNdSQX0!&$e{ZOo8Tp`e=tPV&tuDsTD&!2dM%csNj8CbPmY6f;`bd+q z21ad{B+W*v5923MsuebW?rzWUFvHGm+S5F78%4bg8%*MTX~grqdW{7 zO^#mC@Xdf_AOAA)`6MW5w>g8JE3v})H%r?z*6@bHu$u6C0j${<$}oqb-m2~@$*3jj zb3|I*rOL_+6Vc#i z6-VNQIN%o*APGRVbW1v12?n zk`AIOd^@=|=@5G(R-oZb5nL@_b?Cib2fppPvuasoPzZ7#3o;Ynx6tOm(LR1~6BuzD zZI6JMb2mDowb8s{_>a6(fFHId7*pU7mIQWl)AuPivY=cj;FB%#-DHqTFs97r!Z@>j zu8To9T;?cVRN$(FzSQ}jM2_{Kr^OyGEsyx`L~Tk`u?^7JZ=CjJu^43M+?{PtXMx6f zg>g=+dT=1Y;f|QDVJ#pq_)*%ktB z6aFC0`rLm?2l4*Njy_0OsQ@CAZffy+#jqet^v^ml6HJPq>2**ePfnM2Z<+)#BCP zcTY&U7C5Pn=ceB%g!dc0T;zx=mU1;eJQ4LP1p>7fn`<*cryg+ z>QUlTeI<~z%UAd4Q5Y~OSFbQ2-_ZBAgZYZvX&{^X?&$JNF<1&Q&m{RHeo@ZA+Y>L* zJSk0yZddjKMqO5K;hLEP$-KGOH3-5m?as$yC1-Qt(GMx#fMy#kxYH~}=y)Xz?U1F5 z{Vw{?TaEioaStBuOTxVxIDZ}I^x`~6oco3IVQ`KB-Z#a2NqBx8&pG0G7<_Mv&)4xe z41Qn7&-ENHa{ube8c|M(r-kM_Zih8EAHPFEl<4voR*=32Pf>?pBri?~$DqzU0Q z9+3a9%aE|43?_oh+*l~G;O*nP+v3;a5U0Pv=Gci6NaMJ0Hox8#XqiZku&Wm!?)+9l z>{K(iA4#JJR7Qn2tKNB62*D2VLelL<6#5jECd`keO?Dv z_fI+WCl-J%4YwZ~Q8kqPOUWxqN4-N6sf^`t#OwVmAK*S+52EWF7tJG(*U0yE2}eUM zggxz(Odw6bCVxc=2qPX7e!lxE#!ehtjmGS1^h4u5Wr0knt%vDY3e0_aZd)xDhf(tU zp49Czg$q$NcH}b1bL^yM+tuFyFU`sPtI>Hz-0j=;w!8tD{%QOMMI|sCrm2i=l!Ix) z4?$}hkr3r2_hU;u34)G{+-F#ih0GaeTQkImvZAVPZ`7)S^J64FdwR7HJn1m}bvXqK z+|)C8oL340;;ExvuC?&1Z!|V$63xM{A5OlF`i0b?(GD2uJ&%@q{Vu)J01_+i)-mIJFXr|JWzG-9`Mu=sE6|E>?`#)w}9;YBbubGk@q;DuPoVFOJkD_+cL1R}TMl zO##Z=e4}?!F8J-e+b%6)<=`q|TRnqvhfJ8cOq_Bwlrg*g6GDC#RYy~ybkRmAn$9-L zrKpD+*HnFZx|_h{pDQ@imqGniDw>L!9LRotZihg%5!ek0e#EL~LiyZa7*|U!bb464 zKjTsi%&9+B+yqKNcOSu~#>3&pfNseZ^ydu3&r^tbBOifZnMchJ9?bqzaf2_KuMb6( z?)v`=gXwGAd$oJ9nES3K@qx5C@(z1<2(H(`^zric-8a$LL5c^pv}`%p9gbplUjeh?AzI9n|$pp=u=9i)LsC;m+lOv6Iw(R5cI|CV3v5p+tL-fIR7r zzywIYOISfQQU*HgxsxZA++m(<;9$+A2t+$8^RiJtxBXo3$8T}b@TTUE6w{47xWD%A zB84`Zrys4{@p`}yLu))jEnLaq<7Q6sQX~NoCBoxq6 zLE}_W1ON0JwcU`{F|3#3r_@Fh)cu-D^yO&;L+h(s8%9OY+Hv64tXT^h=B;Jt*6We~ z$Emrurv^BApS~1(*9bIU%4u|k3m{fOvUvYZJp^XE^t8+-Vif~S*?STB|DEqQCNY(b z_Zsj;-i;~CE*AKLzFYTcMuIfoS(nmP1K4xMHus6*!SHCSyN*i+kXydDy@$MWqqf4~ zEa<*lE>YUnD^&)LSO1;MRFi^&60gCtsTR=5)MzvMF%(+jER?)ZUa2#?n8LBo18C27 zwV1PJ!Cnxv{uoOkghi7xZH4ATfL$_YW~x1=Y4`G%W?TVW?^v6hW6Xz$c6a&6fK&*2 zwftrmab;_aG9G9ICczQ2Ctt0}D&VQ^FkjonB)HO$EjuWi0d&J0Y}d}$fbni;gMgPm zxXvzn36I3UON}MBIFy^+o+Z(bP0oc3LhPVFFB4coT;iui5}|Z)n5>s19gZbP5Ybd6 zA@4ICYkF5c{Ig8*WJYuDIrG-8=Qk0jOEGib;hiOH+T@i_O^1LX=gZ7FY7aPIb8I9< z9y3mg_<&R93K%Ix!6{x>)LY0)Q(;)D1u0e2db;~DU@@uC-190Q-Cs+ILt3NY8liT} zI9C+3{%#eb;*5ccLLcT4ZRACl&m)XS`{JUjZPO+isbFOCNH@syVDabc@ z&i^ZREDRo*Gt6Wo9*)Y$3l=?e&X;>J-6(lf1g;Aa5;A`)VBg4L>uyvrkPi|+7`u`J zPhK|P;nXREkG&~BcTC~{Sr8vr5+*`$RYJH%l^5C%Gj2&hI?TSICT>)4042$!@O*+8 zaK#oM%y*PS#j}>7OQEMRIz3M3`Ll?xUuycTRaX%cpR0NC=$IY$TP)5!Rl^PK+h%UR zKT`>_K5C~zO`Wm3*FcLJY*1HUg@?c*2VmX^d7JN`4WW4T?0fOHv zObzzEftHMAQVVek13!Je_2gU@EXKDkI;NmrN#Z}d1N7WA^WCt_dNmi0+gvC+``Q~) z%*n-@ce3G>v`h~Jr7g&(`30y~g8`|RGM>4EI zP~YM&)k0AWHHFz}FVXkRUjpe#qCcs?C@)_kZCDA{&Q4`H%O!w3>*gNi@nkp>ztsE} zJwLehX+5^Nig;1nMu}4GF;JYG{!G;=0_e~2Wt`&=g+3R*p2hYIc=@T^ATl5A<<$8k zkGp0;){_0B*id2Yd~?jL+Oz^lN^qtRDWS!7hXvR;ZPI|Yly-yy%^#A=9?{d?C_?!w z_aRq`JV^TZbG_`q1*2g8D_M*u3+Kb&909y< ziuaQ6{5qa<#Pcxt-V~p&<8v7NzK);kwtj?nLqxNozo(Q$ZqXJFXPEm7z4ryfk(-t> zh!?@++b{kL@q#|6)E+k-t$;OJpE;XuTlgg6{B{=km|~^hpOQuVV82Bh;6waodt>6( zGj=gBny8W$nUMwqhgBa-%OyiLOV1lChXl|X8?7Eg{X=dZxgJH--_h1+C{uDw0)Ekj zqj?#HsGlac(e+Cc>Mwkd7(^U-ZIwjH=m%(zXPBFww!j5XL!t@8PDaA>Ec&CDQ9kFu zD)naqcNq*E;^DdI=nZTy!l}oRMly z{JP3l%a#x-MJ!t6Z3$DmY7~r(=9vG=GKps@KfFE(Wl`-8a3}ZhaP>`C zvBL&LF87{2;embIH=3s_^@dBIf|F*dY%zL~duMOFbH+#=RSpbORH0-=80-_Dp}-Cq@| zKO(PDQN^1n+Lu09>lHJ_;)fF0E;*lXc+(NcpEkdJGQtk4kCvjn&KL?cPfxx`By>Z4 zu!1I&ZBuZIzVKCS(-nJTZ=t8NDGyJotBRwX^j;_nku#e>*SqVA2Kvx-k)lYZ~BA6=hv}B zQ9Yty&5XGiMMPmL>6#th8D?0M2BD_=>&uwAnByVVeBCGvF07r7%osip5sXtm}CiWBs|tvYWR8ur!m0zwT-y-UorvtD!MYtoVr8 zv-w%%HP}$$eoO9yo@bO8dDl$9xyFNCzt{y_&k}UIR64?xcO!P%(;C3{=`jW(8<4md zSzhtRAF2aqxJwmWG2B~?`%Q5Vp3?t(Nw`-7=da_OUYzHMbH8vt49*e2`=)p=3D2+N zIY&GXgYQl8`8qy_!SCz%xxTl)mY%Ke4mowd2;%GcA+rDT%4d-a*k1jw@{AZWY&w}@ znPSfxqVmXke?0Ml)3qPG)!Y5CCBxu6g$x@^@8V;whhfa1%rW)ApfLc{IvL;5r+Z@C z-Gc>lr;T7!e*A{|wj0<}&MY|W`C<)>D{3Y)dYEgzx&CRiXZwIX7MHuO06VAu#6^&M zU;->Fd!t;@s8sP5K%0jDUH}wAV@vtpO7jHZ{ww}jkDTf^ZPT2zV!T{dF{8= zktIiL%(7%&~Q~oDwZVd6sFO;Wtpd-0Xeix^I1%m zpl??9AndjS2&oY|B;?4#t`dW@P+b6ghj@t@#2a|oE?SaP9|?6VZ&yP-4nzCrepAJd zLGbeG)6<791VP|y8;dPQSIANBvE6C+hfMuSS|4^d$QH{d)AWo6`{1T?NkKmFK3k|s z?Q0NNr|0;8c!2VJMcg^}Qk~(&%cl>!Tf7`Tp$p0@=Y#zIl{$enkKFZJQ_J_5R>kOY%DhJ4zvX8%*dNQYHNvn9Be& zP$esDs}D_NmwIj3E`tPVWaXj95s<)7X%spG7%_Td^1epE=Uvs|KCxu*d&%}7sn-FX zGiCX9as>hVB@(en4qNaXxO-YW#uonmiFrxi>4|!+ndhS2{h&`K(|Fh}3R<*?KU$v) z1c$0#8?qh)aEklTGk|Gf7LzUkY-fa_WvcOWKyDDIVH=O$|GW&UwLhJ`oZUh1@~qlq zl_SJl4;EZCKsn&g((%rsL2y3eYPH*jCAj=>k{wOK$kNmPhd2d!(p+}KrW^j(Y z_?rHC2383U_NuqN;K}Vleoia~oXv=b?bV4eE0eT^*;GH6xU#4#uz3mV zDKFbUGOdO6S}sYE(p-elspZc?LUEANlVbSNQ48CyooqiPg}6G@!S<9YcCfMgin=>7 z2=2b!ndB=Ef=C}%a~?ilFmlpm=!nt-7U>Mx@4SvsRmBrc7KVHf?JP|K296NhBcr}? z*b|;LlD0c;`@<{NXL%Znn#fBYtL$*a4-V4}oE?dE1>TVw9dfcjpcb``^!siGTav0Z z^jAXR{r!si))$TtVZ~vef7%HaC5=kAbJ6QHD5__2A`ps|%ZipP0^yVXk%2^%qiLpH z`$%}&51uko#51J(!P@?80Z*GdoKIZzkVXBKiMh`96(!^cG{X2DV%#A+t<9%Yzzb4d zxpOnv`N5O#v;2~2t{};e9o=8^h4DF>*5@C&;dm~$2PKz3R1L~Hua}8oJo73#6t8`O z^Z{*bESE0yado!(4Tphq<6-9KsJF*W_H#9X`6BkJuYg|?=dOyhPB=Ydy zv@hV^YTR#%d+=~y(tlo!|MAyxPA|@L#JOKMALc)f!2kNDcrOXhuj4sKJP(8KP4W3U zK8L~Y>-f1Y?Lx)9DBuJ~xt@^L?;u{oDKx0KiOy>S`?3Ml<6M}#7IDmGO~GqQJhuRy zAG(4@f6RwakC{7WsDRNQZa&UmbW}2jht_T7zf@e{*J&xK`V#>V_vaSbmlj80bzJeJ z+^~XIXZt>f&k4XSE6iRj$_I+Q`|eIz2SXQEkxw)u52$p#B8gx^JtnWZ=?@&9u-e1C zr#(*yf7JslzMS!dj3N2lJ4f^&D$DO{)wdXk|2Es|(rXNcMI4zqV~+48Z-)3C>P<|9 zQt480Iv|3|_o+ue;$Y(Bs@1jaXt))xKa_Od9el}TSnACJAt`2M;Fne?kfg@`HAlUn zUDeX97{vMZHj?J61$2)M9DbAfI1G}v#$J8#)y9Zv*m<<_JpP-{m{HR{-w6u9NNDSw zFXrYzNWbTdt8F?I_p4=nzZi^p`H1DbAd3X`XSHT0y-R_Gs68O;dlNLMdbW;O*1{A0 zTA4$Snt(JbmRawP60GG7z7^<1c@z>lH+G3QVC&eA$V5JXGRbQFx7M*>G2Y&@zETDk zCH^u{+tfnJ*JMJGq&mcRx5|@IPQ;2{+cRsiR>Mm7*Og1Ab>MkkW`d`z7*zdKcRDrl zVKV56>-jh6dE^V*I(tDgjB^IRGnFldu^#*H^Muu~+`0N#-n9*=eipbgk)^_^D~G}d z(LCgV@g*7##0zDxq95`QMI1JZUe9yxC1CT@A&YQ02W;Z$2BnUdfrIL1mBc3E+VT=` zWuv{tLKK6f{9|#fl}hhhcwr8F88AxbG)e}6XQW(VsCQpxvJ|f=p9aFQpR?$TYoYV0 zpfJm#KUQj%_`{8|7WAIw1U_iL4!RRL%Zqt=a9~J3PiRmD7cLQ1{!>64akYq;U5jj( zwVqGq8OnwPU*8D(SEXR-otxg4jy%nGsw~3niMpJfi>9B0uUtF8it?(%HhGqQS26(JG|3C%(K4eL9s;I99-mb!@l+=7M(s?yO z6V{CWy#Yl%sE@E6#49zqjJWYrXCDwLWfgZBDIR$?ErV6ySg zg{gPV5D;&b!_g>=jm^Kg7e`wP7x|2O{9FBiJ-8uP(>fZvFxB`r6><9**hxMb_cp<% zge*llWi%!s6dJ#1niPdOl8Z}pwJme7itg+ zJ-jAkh1NMhSNQS~6@3i|Kj>l7yjcu!>!O7lhYCQLw{^>8uL{Q7`rJC%>>=?!>*T`W zQb=MD7ZLcK59+tMW@+x$!s3a@cRb@h@WqMz{fmWakU8;eM}Q<3?teKs$xxU9enXtB zC*~WVQg-W^@c9aexADKTWl#xx$pKDIGOge+^6YF6Nglkr(%5lQArG`1=54=g<^gp@ zXzb#%D#&BJ{JbB{1=+fjPaFBB!apTDlYth*A(iS%=J-f3;A;Pk}>sJ$0 zr~YXVdr${I3?}^O%v(SxbLE^>wKeuLRqH)(L^b#(NQ;FvH3030vB$F8C2)y*=SqN7 zH1tcjnpo=~KD4QdW*g#v1Y2!3o_0+K|GEKJW8yNnAnI;%K<);)gvqt(9BBU5{KH*N zu^xQc8b=}{L&4S9kK=ArAuPZABFwLs3Z-lQ=LhP&PD%<{|jCu)IPL_WywT|Ugv67O21w*iy9?V!o)CMa}q zN;T>#1ftNr%~`a6eE;FliSn!Ukb2&@vB$j@UiYTa);G6+!-<{W1!$i7+92yyJWT_L zRn+_4E{ewv#-qp>kgpHFzX!2cgkFsc!7K^HT8gbwAug~{>(zJ?$Q?hsR+SfuX?T~Y z9@u#T_5cFpBMV?hX7Ax?i8|2#MmfVcPzJ&IKNvsL)PW!|#icWaO7K0D>E*JpETr`? zatK`ug9_Ciirel9u%yagFKtc;*ez{FNo=eS5^;bl@utw;W~30Z)a9qj|^cf#F&Y#q$i* zt8sSvGW{C$bfP7^jaM3gjr#04A({l}bd7oYv>WY{4bt{xFP8)9PPFIw_a!j9*~YSC zmk+0NPf790C&R_J{)bXe6u}SfC0C(Sad4I(oiF}NITY%gCs?1i#a{f;y0uY;n89Zp z$GN_zKy~j{>_xOE=-789KFoqVB^f~h$9l`b=;?=`1m^&3`kLWoLd1*pduiJ_TIc568?^=~|9q2_gQFC7ddD6#lps&pRK)YiA9WyJz63Vn=|Fx*?&P6snIJ86 zdh6S>Jjm|9Qh&d>2nP91J(8;ngy7*5cNXmtKaL{SjuYh_jFf4)f0GGe1@62GtjhTy zNYs%m@Glr>S^_Ur=0{_0DdU<$Z*72T{MwTh*;+tDK#j5c5tzNr(;voqB|vxhZ|RlK z!7w~zdi&4gGH@~*AAXE{;5mY|$E`k>gR`loKOf>%T{+QJLwP9!GWx1DWXX{q%=|b7 z!AKzlsq{?iTW7&HL7$4}cBK%%bLTJRk}N!sXn9X*pAUgAq3{8F4n!qM`M4u5S?F!S z5rZ-p_{pOb96ekD(V%~h1^Mn3%N+JI8B$&L@?=WAhxy)-&~3V8#3mIe%NmcY6F z%sO(02AKF1xILh)k%8)VN)Df z$^`~KUQL8--%zp!_F}+Hl7;oYl)$ml@_b##jop&)Iyh#N2iH9NTV(Y@ zu%J-YlVl}1aHJ$ENs-D7s~w;;l+#4>|Mui!QORP|OQ3tCI1r6(Wd}}pA|9DYPH#bFba6`p;X9`%Q5V9_~xRy&5=w9q07oJV%`Sh4W!> zjsV^_#d}G3ejU#_;&~W+Z;H>?@i`2BU&qh&qH@jNgCjLC&pOv9dAlB5CO>6HnK@%U zKMI(B=9EFE-XV*#0%$*Z{)?mH@dBWIn6Km%-6z7Z1hEqI2E#uj69M9*Y_ISR(V-mLDS1yT ztytJit)joXj^;9pJyr}!ad7IE-M3C<^t?*i$!Pk!4qW~kzpIc;_%!2kd90A|Pe0Lk*=Gy^cDU?gh2$Zq%qsoVm^&I&piz=aDq0k_!xdvJa z1Ot*oDq&piXjolEJ&ZJ_e{=hr2kHkClEx!7AmElbxV;jGg&r1MzyB-ezwdDZC$tiF1H7k@Ywm+H*PI zlFD4aPzh0Ao7n1e>VZO@QQ_C6dg%D`=|PxP3?^!zW@m}j!Pg3bgAIau&& zujnJAR=*1&YBG4O)&cnt=YvNV`r4p^Xm*d~a4|Ry-MJ-ryAtjTc00&Bwgb7YbA@Is z>RB2le)1N{1F2Ze80M-v7>agTpvta+F&nb;iRoxh@%WF#-e;88(`=r!EeB}Og5p=0&QM!hNLnf=%m<<)WAI~TssK&>E`|ery zK(2Z?w!d+$@QVx9Vh~hPbWjU4TL!|Gb2os0!nEQ7^5kZ}m}=}MtOE`!DTj}{$eT*N z>p#tq0}W(B#WK3t5a3_qX@R~sB`Gd_KE~7n4DGSLlXT@!H7Yl8$3F$$tmRqnI`f0C z{cQIXAb)uBAxe(aI>>#ptI|YgidA&9{A!HE+$Nlx2jK$o;lqV?HYkXsh^8{H}f z-&f>3r^%Bc_MusAuyQ5bv>l}TC379PN}GI4wVS}~lh&<*iL0<8lCnWRia6$HrIh~4 z6oIy^YGH$ED{yB@F;$S|q36U+L8jJx_(J8%DO{Wk6CZtjSl*%UPdo15^!tIpNNLI+ z^e_u-D;rKf{3>(Ty0cpb_nf7UEOS%= zCr9twJjAtdKSXf*8hT%NC=Gu4L?NHc-Z@t%r+m1d+t1phTmmtK46#kxwa{R19`Md5 z0QqB`rG^yHdCr&{b|)I~{0~GpZjz&XUb31+**#;pPku*tCA|&^Vz9Tq=W}7i){j;A zIok6}#g2tUHUTk;T{y|1&!4nOzxeHP;5GVQH1zr^+Fx%DR-@0~vBYN8M#LY#b@gxR zS90|C^XB~-MxRGIwf#nJbYHpRZPna6o(4+~R<}vp(fPkYe(+Jg0@_)}z9b8vKBe2~ zvf)uqk6{7jlAqcLoThDrkPVZ|W`gCgn(|b+ z(=rueZBsn?Eh<31g_WUEsSrdJ^cuMzqn@h2{F+)5y7x)5aVnHJ0{?WA(L3Q{kmvk< zi39l%DgxXlLB$95Zt|9XAS#9I>lc1iY-U2JAVB8M9$@i`X?#I3HCPUA2b%9b<2|?}1JLwmYZPNmR zi!)EZqUYu82rgF5%^Glg04&yhb+Gb2+^VOr7J2aWKka#4h2&YD=jUQeVctVu))09a z=5O8WrTrd*iCwh1Zoh%@R{#6eLDkT>LG^$4h#RB<)_Pb30h?RSvkTay^`-UkLpk{lec{_p^8 zm4;v#`FZ~)YnMM|?Oi4?31lC*m;vMfK&&Ps1=hW6}Rd)Om+<`M&=jMHvlIN{ehFGc!(` zB75(>_uhN&z4s=v6VaU!T2x3QkONI-T{p z+!#w_Rh2Y}(Z}BBH?GSbv&3@qzOyyGF~GtcQycpD{jsN32P#%ls@UW4vB$Z$F2f4< zaOk0FXYApGz?X|RLf|~rgMQ~N7m$3u|Du}L9G2@Z7d16_U_>WW?Mj|Y!ULLqUb|s& za5}7P-cD=?*g3*X;Z}cac!pfuN5dEPFKb8-s%c^YM{C;p?@2(i*33-o@lZIX`;3ER z#}I0+=3cNf6vEDL*9hn~p2V8^hq^XOfe(* z+ix^jG%>A}U-OD|H$mw(%U|;ZQfx5COXALfEkF#p`r$cGEc#~sz0z%G@cHgj&UDxc z`r25EpP~FbiJFd3?{RYw*3GYYZfOtK1c;|a&bq-v#&_>@)3~q!t6ymyitaE4_UkV-_ZdoS^vc@=7yG+XFyf7y3^Wmm`Vc4RL?0q#}7np7NRqIqB1^=wh z_$-XLLEfjOl?g)|P-kV7v{q69rYk!nU1^Tk9U|SCEg^gC^_L;V7AC|`nkL%cyKaSX z>5#=OHM(L;?(0RCpH#6Ln~;MBv|ks*oQJ>R{d|``;-3|#nS!IJ=RUEq2 ztR0Hcc5YCfEi!|h8-YDjm$o0;(F&hh6p4Ze|9d?teI8Jy%>JB4Tp6xs8w@{?a|0!+ zYcjvgtwDNIJ>o_enm@UP?}T?)fr3LAr*e`vyen%~c0KBjRi65O>B+1=a8S8a?5cB@eTaEioaStBuOTxVxIDZ}I^x`~6oco3IVQ`KB z-Z#a2NqBx8&pG0G7<_Mv&)4xe41Qn7&-J+3wgQE_KJay9ZT(PjFh*)$=S=&;6?^wg zS->@y1-ln5-~BY%AKnND{iMF{jj`C>OF30_8%(&3oQ&sOp};Vz<3q9^miEN`TR@gN z#+MvqnMG`eCCym1Sy=I5U!=o@i0-&yU41cwuiqJf_>Y%~7e~zC2J`Q_8-Grs`LG|i z_AyfIbjB4o^C>6Hp5jjN4P|v~>B}4KIU5J;$)!m?wNGl;_qIgC6%!9EW9|@*x~2!# zt#*np_NFVe9{;+`DWZef$kA6`dgG0?8GMcR7WBdHkv~cEP6)o7~qsGXS`3;qdMX_`K7x!ck59C-w>ZL%`@9t1+3-L}5f>_(*GUCXW_+mYO z)%0d2Y}Ed?OT1hJ_r8nQ#5BcWLBy)81LjH4@_p9ma!fv8-;CbSBhI!qi@9j_hiC}s zRIRF~M82gG@m{JY1>oOJMLU4rqe!Kcf5v_+gvO48^~^prcRcg4S{2RFX$n<;D9)oi z!}x;AdmayuijHC ztHD@#WK6B`jeID&73#ttS`LhAelDemTYX7cc0gq{38<7)}~(X#eR; zedugF)aXk-?vX!;k>|0KHC!MQai+(+uN*LBg4gh~lunjpu+-zLyhr5( z;-4!Woc|U;?aS$(`iccmdOTWe;Z#}mM$ol^426_o4!)N=ec ze+lx-{D^CQ6agI8aN7gT9~~Y)IzAqr2j+UCq00T4U{3IqZ1-#!)P8#Moz^`LTAxxE zO05<__>D`Bi9YABBBeJtN03qEo2)7a%lLG?Fh#qpa3@OFtMj`*l8 z7(FRGr-67dd`cG6qbqrEzw5P>Z&EI7)TKBF4u-=CTDTEFmjQ3(UFcSR*kbZG%&rD8 z#{qZm4%G#9#N8ikx&(Y|f_QR^!qIEtTAwlDgmOiw-a_mQ4j6`>9AT)6y$vRdnZc^og=k# z6b3_Cz}~<5EGWPMxYoN>BM?vRm!-z>qAN)tcJajC>9I@@+AihGLAm4UE=z}|`gmw< z)6jXv&ja`A{ya+FN1VI5CyRVrVc3XL&#MvgIKU{LD2E;Q#=bMg_07^{L84%}pqEq{ z#QqJNj$94FUfEw6vgnFJyrk{$74cB$)Rq4ei+WXbkKQtWK<}}0JURqgj0Mn{SN+u} zHw@yh3R}1*#6wV^&OfQJ%>TUAxZf1_;NiX`+^d1}*KtlS&U3`MUpOBI=Lq0^Q@odi z=hyL^Bc6xB_on!K9iPMC_jUYSw`iUa-Zw4*M{@em&nd--)5Uj5_(&QwB&t1XRW-)$ z^_x>spU#Erf-wZu4zaL5`SSq_je(1&zq_uCHfS+`8aUm)YC|~B~>7Qr!5=|9;C59 zi7$bjhXKR~Xim8!#kcp5A|C29FRO{6{zfNri>h;b8l>1oy568H20j*t+QgA!kg%vc z>6e-XQXAU8seKBeDl0`b!w22tPj)-JP0NSk=+`1Y%+cH$3bt!Lr2-ARLC&`m===73 zSqg`vu;(T!c0W*F7(d_Z#H0Bc)q}A6_q!|{ERvv!!a?QFehdT+>5d9?YdvBL5(pUA%Nl4#XS2)N7HegoYvq z@yTO_Abn#_Jz6jts$~A1v#{Qm5NJD96PXtT{S+6N3UssKgaXCT2U9of(Wxg~!>ci% z`anp@*&cD+iW@>oL-S!N(V&Y2?L!N7ZL=`?5b*xfdGW7fF|3qmZBTruM1BLVu-%Aq zFp&B+bo6XBWFLtX_Ka{G-Yu4!-qtT^q_|cpming`BT)>%A0p!4mM*$_oG53JH+cQ&-lmH zMCk{-0|fF&gpNh}3blsZMfrt`b1uJ1%OPo7M#tesFy=eK5m45W4`tyupG^(>fFqWq z_vUO7;#``Fg&5q%y)N#XWw`05@f0V0^Z#Nm}lt(owDvKe4b?>i+MJ`0V zx7V%gj075_u0+Uz^o+j`0njepms?#p!W5E z{B~=;D#v^%f2uKk3h|P|kNi13wTt@3HwM=3rzk>Rb6q7;6yYGoC`0W zp-O;t^3P#*r_r9jHels&b^*-MiV;WEXF{Td-nX(5A#C~7g%%^8bl7RLvEX~>kM+kO zX9}7F%^kL{PUADgQiF+xqR?Eb<9nsF)j%%%B3ONYYBUs6$jr{;RYU&biY@wB8yk46 zD$!5!Ivt7*G~*r46v4x|#~DKGWw8A@>7D-d1gKy=@-~Gy7h2QKIs9VCf#-l_QPU!C z=>NRcxZf1_;NiX`+^d1}*KtlS&U3`MUpOBI=Lq0^Q@odi=hyL^Bc6xB_on!K9iPMC z_jUYS*H{o83}mf<){-&R)`cv{oqfO(k8*b3E_wI$Y7~NZ2=%WUZfK83;;6)u7YTNM zxbJgr=RquYYndN|J&a^2=$ZRvL0e3Sz`#K%#Qb=Ek*+2PI+;X@rFGLmSeQ)f@rww^ z?9a}9JA4%+Zx*}Sb4SDV6w=4eMJ(da^0z zHKCd4e=!0WdJ^c*l!k(Wx$MZ0czp1NwCIM-%$550?Mu>oPPTbc~!%0LLT^s!m8#) zxh~gCs3;k|KBNoa+%dJ_kQxajKGVOHe!9cS#e>q4N8#`uiuE;;d?3x0exN2k6Ly_8 zy(lKku?ZFD!0$mBa0ooQB2bV0v1B}rSy>buw{rS$5qXe2!`2t|seK?Lkl+jNOc=Oc zB7JB09QlTO6J@t9B!M#lNp?VRE^L<+dN`qT>1Ip~$F-BbDDUk$t;)lSWhf0<6Si1D zmqJy@;Po`fBNC?$-c-dp|MkXxTMvhm+A*bG@+fcO`d46NIt_k&tTQpe;(+r!YuE=x zFOYI-OX}lF1)Bj<>oc2$koSS))hE>RqiX2#H91)b7vC;TYz<|=-`tdID>N~nYu4PE z_A?JX=aY;cJqUwfF|BCDsR#(7K2hD@9tw@w`)x_;$-ry3=OX&B z`i`johAVc4{i@LX*L3hyu_nJ&?F+hwFQ0j$zDGCr;;F?82_Sy_&RJG;pXOqxzZuTr z0HXcp>b_hF2bou8!YhrbaQuQ7oq0<%tPEFPC#j2p#TN%#3*2eYGwb)c;i>`LI3;(> zf-@29bUt_3bVR{<_IPH##dOHaJ3cD(*aW`45xswUBORIqKOH(#5&>rfD5h_}MLxum z=L5gnv!U`VuajLH;;No}c6^#I6;6qSHL;`n!_TN^7GbTCAbg#Cp>hV@-*v9P*4&Q* z(iho}+h@}N)#`G}$WR|s>56igXE4;;+Vbgjg+Qc34BUe7=s)VetDpey($Ba37x^PK0!(&T!g~ zD3|?gDuiJi^~FCfv+bhuIBKOnh$|oza=8l=yGqb}Ueww2?K@K_@;Tg|KZE?FhW^9L zsE3))lS%LP#vYdVDVRvxVj-p{(Xe_a1l~TqlG$>f6%3`muo8|2L*?r!t5aq!5R`t_ zS70p<4ztmhOicTto}6lyza`?|ZY2nJAId;p>U)$ew2@#O+SK%osu(o-mgVM9?jyJD zY~|~M7|8lrG(CsrBPWcj9n!C4!WBy&x-`TiaPucGyb)Ufm14UUBkBntfQfS1E@y(m zhS{xOavoR$AfYrZ`)g(eZ(gYkZEILS^OoOXiv19Hk^IoC zgADnB1T1K(_B~*=>aUUc4)W$WFf@d{MEfBRvi{F4Q4rXBm2UYFEAZL$8-(hb0|ga( zm+Yt;x3>=niqGG|c=*LF4>9||s^t^@G8@Em`D^Fwbk7qe>)r_2Y`X)? zjMjZZzc}co+Z|4PW7LA!{Nz~-m| zSeVj_nAnPf{)}GW*RoW^f6{8nU)IAOH?d|<5out_e<=9u34W5+XR(er-b z^pPm^oFGDJ_Z-B7C(0q_e=Oh+RHez{wr=W>eeCZCZ!-fJd|FpP>ud#OT>{+u!XXg0 z9#Lo=ppN;mM!UxYWH_g4RZVpob)RKP2-7qgm-f<6td!eNC# z$O|#~v4}peEJqms*rPnrQd-3Eps#Y6%~{QOOIuT*yV}pzGsF$w_X_9cUP*!Ov(wj? z(ErbayTw`&DBlohJ)TU^5CnI~%(FK`eSwiii{$bl*%bBH$=-rLO8uM5X&rI zQ%twQJ~Jljo^_8xxw!37RLcfpRuR2fCVlL?&}f`OatJ*7pcG%u5dn2pf{9!g=N+*v*wg2hV#pf7iu7Qv!HQvV(E0qQjbyd?H`c{UI_AM^VjRkMQZ zuN>AVw^*>D`pRyGI4f9D9A*@EbHFat1Q0$&_l@(jBNS0pjM$XOX?owspo_I{uUt9;ChCJU@%7}yBEy=T_ z_uMg;N2Ej)0|_7`gtmDenqW~sPTGa$GHP-eG!8U@ps-9l8i9J6ALrY1wv9Y5Ed<~E*OnvXzSAA0euab9ftRc3u)uovtPKV5nv z916XqJ)QNgrr6b-$zyx>B(Z*1` z$7qnLJ|(W1gfq+jrthLP|=CKW>a7f zv?W>AH3sP^hZ#$6P0XshSp9BxD%`Erz9I1;6m;_gKGNtLV(SDk|Gv;F!{a$)v;Cp# zn1vJBHZAf9)w%^8BTJ2gBI&07UPccXAGcK-)6j;_l&tPD0(5>IlBercv;Xh@{=6RZ zme35t{%SuQyr~`mN>zPk1}LY_qf@bzb~7CN%3AiW{fQ-3Q$wZPADIk2<(IiKX7j=6pxn- z%Bifa7&o2@1H-NL^GS8FFeTe8X=+^nlC0E|lO?Gjdx@fEBPtuX%wM=Vpn0PBt9tTw z!U)*p5qT**oeE3cH?ywsWx_7X)ok|_BAc~30bmszU(QBUC6>?&tE#OicW zj+9x!`5ad1?;)9>V|~8z*%QdYK;5Ld$d zoN6e_aSjdEX1fXcV)n}naeez4;BP-m8kC1PFTdZWO>iP^$zcWMOB6}K+o?MLrp^-X z8?tGR{)z#j$`j{Iqa$ElUA)oPEe+xbe(!TBH0y`IVAh37R8ucgWFjRndFvC1yS{5V^)!sg8xr8$4-W+{56)ZI03*zfeqXU1oeEi~&f5 z_XI=8vY|gOP9Qok0DDEzhn4RqBi?W1G6Uj@N0h_pP#y0kLvS4 z@$Q$eDa8&j+~p-oHXjSt5mB7C_Hto${9Z_LG0HvVdWdeG4@d9MZ)<*|^YN#R;sU~kXDYf@#9CmkVfvE1C+m@XNkZ0 zqbVA;PJ8gQAx>3gWDjT7ULy2^7jY-bEwmPJQ5Ib+0y>`l*w-uJU{TY_ciJBLa595d zzF+Z#{rK$p9g;M#u4tA!Mr{DnVGmtj9r1^Rm3XC49qMfg8g*X$E zS^_Gc{7r_{;&hk3^kA%rl&)3fZWMfZ>At|-;sLp(%FF6pkx)-PC4X(6AAiKb(jFV|gN1#mERa_D$_*dRsO$PwVl$>`#U4MS|MT1BIZY{pgaU zN+GO!KHOwRy@}y~zf334-{oN$J<`G$wBKaQM*^c<2xNFKF~eU7Zyx80$3-W?ql*oS zWNn3Th1{5Ui!lOgr6lnEzkLnC|Gt(2^#{bd#lYrNR3Ax7D9AGM{o6n01HcmZZ~CJ! zmc=DXyj|=AWheT|hBBjpC#1o}Jq67J`3L>Xy%9%^Gr5EYGU0;xwZ9P-}!_(pq4uKFC@VTnBK>R@LrAuxs>Ilv)5ALe!$*^^|(|Re-lF` z-Y$n-|2n8~g(?{&R6lSZM?I3cO`jS_2fzCKPSYFv1IKJ9_wkGj|BnIVh?c5}|!MvKHKJj(Rd%cOY9utqFvoJEz2R(*39B?oD2ylkPK=RH1?e8yRt5%BaCG{fD3uuw zL!1Iz6DCSvN;xwi$m9%ib{_c@4K_fd;_{kJHx+a?{uGBmY38bV)?EL;^evcbNTi(N@ z)tO*WitbTlKzq1c%HxlUzM{P?#q7K>@@lZjEzEPF9I#duzcBl16i6NKNuo#nu}aFU z5@xionI+D9P{NrFdx5)u#Xg|Ce6vP9lUWo{(j@((M7cQ*E~E1On|^R=jQXSyc^Gtf zRoR^2c7nTem&F+$q2J?qxf}Y<$fp!xR~lUt0#Dcl>C7%>LG}A)guqp$} z0qaWq_};08@k@^}#RuzPTN$PnJTs(UaYrv2Vir2x zJ&gR}0c~D(4w|nVGmcqlq>BeVcdckKLL1onc{xS6CkATlmpC$!kNjFC{Si2fya~U{ zUaq&B18zelk9i}Dn%wygV+-RxfN}UF*!4r%dyYV3RHZ6c~I~te| zUC~yl%7zX;$5&riBjC^7gSeomNKkl~tXeY~2|jo7K6un60Y;QY?|LE_R5(MI`#J+) zP)eI-K`{vEY6DuegQMY*`Se2pJ>&&RIk8=QCI+1QhS&*jorJdwnXRHI-{07OAo)Cj z0pp?_&I;E>KmTQ`A(%3S3}+EWceGEO&>v#CjPl(-Iy*D3JTS(#8@VND`QxEnzAZ95 zK@n@2xSL;Ug?@jO75-DH@xU?B8a0MEtEtJaiG1IM0=LI>Ke=xb1o^(UpdO3>Cf!44 zRMJy{#Ukw?_02$#+GqI8do=@cudKq1LNahjzDv)M*TisdHSRaXJ$Se;3HNH?{B@ku zi}M_D?ibF7!8rnW-xTj9;rVqu=ZNQF@VzNMU&rS#_%ZaVOT^s%Tn96JD+H!qh#P&h$5!(pn4*lw!8`b zoi!O(#?K;N_0tkV$JIbsPx9_$53q!j<#%qXL}$WDi#B$3D_ht&v`?QH?gwvGJm=Rw zCBed4;hlHR$Qyd&($ZtaT-fc=@0zJc^RKFz4;1YJOOP27)3sWR1|2(9{-Tx$P^1+K0)j};F0(2(2nx^Y>NEP_;7U$ zJeShxR+~osz~v#CZs$n2A7eCpNhk-p@6zVxzi|Y6>pPRVB8kvV!qaIh;0I^g(kGc7 zI>O^Kaz2?uE+8Ao3P_}=*a#zR}N?oh&ly4qLgv|PX zUVfpD4Lu@X?&VH}H}*|7KC3V}Iw zk`AH@cgSGt`%H zpveT2<(-=kEO(i~^6t4@|yhM?A4^Pq5ug zW)dB;g!j+Q6m)*sf>}Qmse%>qmLDNb|1~Izyr-uWo!_D!3q{On;brAT?~Gn#eo`eu()85hZ&7L)q1!mnbLo3u~T>bn*e!l6OL3k3&G0X;3EU zOdMq7-a9ej69tN)1$&+k0-(%n-40|~`B9lR*t&89^6Rg&Bp;&wKkoo7!2u|>vYXEdKO z$$n~i%-$WkX3idWLLN%oTaEioaStBuOTxVxIDZ}I^x`~6oco3IVQ`MXe|^*c^^)-X zI-YaH^Dy|{6rZo-a~S--j-TrZ*(UE3QQqvZRng%(FT^*xdu5d71LDVLoSUI<^aNFb z7iz6L$oK2j*1=MxhY{5_Df~m9j|J}GTeDie5S(*m{e}J&$d28}EhKV-zJ$|RNxf{? zxp{ToLbTsVc+xI0Ev5)Z;oHy@vn#|zXz2af41zDcIy72*mXLhE>ctWx%Jsd{`n`zu zQUb0Ee69-?5cZOAWfFOVO_kj2=vV`QwRiojXaVBDlwY$m9!!Iqf39Af;0cCZP2q1= zXnvP*Z&I$~4n64D_@`W^N8Zu@eJPp=Jb3Xm0^6_{40$<;Jk_~B!iCh)JyJ^l`KO9- zjOc5FBeHX2W%1HCMMmO*lY7VWDe4n_`eZ*9V}W`ZWQ}FAfQ18v-Wd*t$(iCAn$Q!-F_Hq)#RBOom6Wqi6|KwxntVu8GRspxU1$3;_6A4b;a6M=D?0` z4{LLOGWfJAZISJu9!r*ey6a}`_e$q_{G3-Wh$tp zJUcne6$Q*(zsaVVT;Y{G>0!lzRPg^2Dke;=43YPz##s-cy;J*TzI4F=?7`EN%sNSP z`1pQgZNfGc*k6&SYN+QxS?S}^U5!MrXOE+A)kFN)hW6UmXMHgSZ*_qa8L3de$T@w@ zFc0#*#|L@{6JVI+XnQkdH1JY8FfLE21CK^vT?bDzutl28@X>~X>)!W)HMJBFXDU4z z;E8fsFXETZux5hMv~?~MdhfeCA=wlYr;DE72Bu<&SIR_!x${Mb!1rg@eFa_zV+GlA ztm<5dPr~1uN6i-xC3liG&Yw5zHrn1ffqs8pcMWnU#@&HeRG18s0wBfV$&H3zImnl;RUs3>j1gxjS}{C` z0BgHSDOcpn>3Aot>p>ij1$ebLAD#n@j3C$V;n!5KQjgUx3iiXQtlSFx*kXY`u=V)0 z(|q8e@;NahI1NmVpPo70;trM9C0wuYB0jrLEyw+48|VZH0#DvPjq)Hn<*K83~~hPcfG9Y@n+* zP71zc2b%{cgpzCG;Dw(h@k%-J=2Y(66$C~?>0kc^uI?PTuk!IwQ$h^rSbbD_lbHb_ ziUv0pP+wR!kfmmMED)yj`PZ4l7{4hs(-W6++OcPDd90F?u6Nz;p0F)#Q1<>>(r z=-T)Y8(k9!i>9jrfAi8{yYS=RLw9q)(@00m4Bh+nHHny0-UwlvofG^MU5Km3_|j=7 zI}}shl}U{GzkBAoL$@-82Xo}(u=Q-lsFPsm9a|H0dDc(!M^Xqud5zoWmdsBSAj?ZE6 z`#OHE^YpYkbBENdM`4A$`QG=^R1iBE@;vol4m>T$$}t=( zfCXnY0;`H_(B(gR-1A`$lrR?*|3SIfnj7R2tsuZa2YeAj&; zl;2Nbg6W8{j5QtC1{cM?8p$j_bm#wt)BdrI_g_&c2v20|y)9$A_~{PyHZaHAC{ zeyQkGIBEpaM2%adjMgww@HV~WJ3V&wgG+fWDJ zoAjm-rTWGGkf;J&@2j@6A=ZFeDh?GrI%{aMEw(#qWCGb5D|93O^9=7E=^o|>GNOV+fqs_n% zd*7&32iS%55KmKA8^}ngPcC3p$39uLbvZ_pVhulZ2>sb?K;Ja)RIY(Da3>O|lNg$V zf!)dRHC-DxH@;ZSmaB%Ho8U`)D`y2Qn|B%v#a$pd=DgOlmOVH>+M`tn(}dOlGZxVR zeoXCLjOb;0b9kV8U+$i^7L<$nZMCObf#!k}y^p*t7`(zx*O)m29hYjZmWvv6^fF6~ z?D0b1iecQ1AXUh$DA*0z69p!dD3N>`J*@8Kqv7Fs6`-waT6(!}0l|0eUy!X^!gDRo z=dH$S;Fel?+kTY@?o5znmr6PTmnSbpQf3QtLxZPZ$Em}W zU$??V=H-D$)au0teS2ssvpRhEjyfCxn*<8Go5*|QGZlHv72cXf^}V*U1D@6lI}R=_ zpja!P>Cn;ut`83dZe6v8>v3y>LK26u>3dl{RkRAQ%zs|m?XoF|eY2r>xUP@UvtBjX z_9DXQKazivJ#GmDaa_5iOj?*4*_%r;HM*dGpRlRgh973jmJ2S2nSol*Q z@{53Q_1-4=LN9yFvAjyf$?y#plu#SD-^7MCriM#r()Nho4va(Z>liL)& z=!_A$7b#=%3ihg{GB;uOLt${w=i4y-f_Iri*dF?o*7`|nW#Nle0h5fjDX`J-)k_3f z!X}+pP~Cz#^ap0?zOS%>>G7j)jY`#^g8RKgMYA)!50%_$t+s~#nP)kB4k{2!dV4jg zP9B2y<29r2Q^JKj|JYFUd3hvl*SW&Viis>esJn4i73A;AaSdRapy1l3^&!*@P({|T zaTL8*^ArV2=&8c;wHI!?H7vj`s!Prt%>&bVqsq21h8Xu@zqa>+!Z6Sym+|24ZEQ4b zg=ufl7&i78E5un$fbq=^TeGe@_Uf{3Z(Oh}95ej1z<1mjegfb7SMG{%DgRQ+)prgc zqQx2&;m;X z#tUE3&oM8W^=QS=2BCjXfzbbjc+Is2(j!~#s7k2ooK7=vO8jd5Wk;=HaE*A*+^RBwFU>E7OguSfX>C&x)~S#W;g4G{b>6UZVNd?_ltK zeEEh4xi6M}+NzS7?=%?x)X_+}5)T6;OAbHCv%$=4TELS&1zye&eL9QsrG-`ci@Gi+ zV3VMLoJ*b;ay;Bg*=ZfX!@gDL7Rr%?aV)BqGI_#Dhs69j-4tNri`*2G2{@ zGoZRR2O`9SvA2w*2d}r|LFQU>jNZR=G%we)clZ>8crqI&Npix$HbQsY{b~e|*yYBj zpnD?^r}S^$+wq_}%jOhsjyTD#>+a@hxgZs)!@SmtJQi2@u5+`;0BLM;NG{qJctn}H zx#}guYXy~Kf(5Z~aB^#n66Ic+AAX|uMSY(4*1y>XX0&s~to#AM3Ui^3( zM(i-fql#%G(m_!BjJT*c9OYePDINX>ra+T4XR?W3G#pxQx5VF7nx^zg@9Yv z)Z!Mp&nO8na!ZUPK&;GQ@r}MD@UQ6m)4Ama_ev6NqS(SfVD0|?0%Z=|{qYDk9$vwC zdxEa+j6{KB0N1xgbvL+}zZ&Ji zI?}+l*q(5tFbOKg3_lL)h5^~XP8$C+hzoyjGo!p%9&7i{xzPI+&0%wr{64dVLj&28 z%F@epSW3NBq$KMIntwEVJ6e(GK-BT*z~==`Xk&j^4MFGDmE~fVhiE-{F%Fd>NY^GeExXKAkTI<@T9R)xWzQ?leNUlXBOsP>atSSq|Gx@|7{Itu(ny!J;goqz~_>5J}Y z->thbFp-zyfsOidxbM_NfU=kMRlX8E%;=rJf(e@6?9G$)bD&;^!sfY-`}aJtZH5OG zzxt5xyyt{*{HzVU(o>nJ@Qs9w7+(6l8;CdYo2%symH}CxuCOsI1cQ}h0OhA!aj?qs zKDg>mB5Z0@7~Jwp2Gw)UpF>K~o?&WYe2*&~h|=T@zh`Gcmv#{X+BM-0UoVy4}1zg1zwXlVdWB?}7gPot zd;3yFf))E}xMhbAhBhy_6-4n;t{?}TM>p@y{|tg6 z+O(k=#Ak_>T60c9eayX!OPO0okYD-UqJ!|gTp%;suX*+$8#v$j=R9>lIr-lybA-n- z(7AR`fhH#lYNN)gCGwGnZiRd;3!Rl0&MZV->W+o}9`?wTk}Tl*B6uF5X|M=dKLy31 z$p6mw-75@|x+iQff%$tX^_B@RCG^f+KRpKIL~a!rxj0}qQnhTJ%Z9+cj&%&HG1Ap0hAo z4F3MQCMw#Qa4)BOv;gfd1ug5u%;!=e;?NJ70{coJ=4kW$i}*{M-$|cOY2*Qqip0v! zk80RU?x9HC4u@jD3iBxBeR>n`=OvL<2vjakQJcGY@S~=%Io~!5hA0W=NKnpm?9zUI z*&^}*gxbH4DvX7s_Dj|^BSk>@&B5P!Nek$`x&?$RQoy)2GNB5c1B_ywhsp1zLK`b1 z$sLbKxcIfPBJ^Vsc;0O@drgJ<$u5V7W0(t}%krNVNl6_H)hQX&zDxlp#Q~~MgattV zp=CoPAq?~~^OU_%PT}#eApJ|^-ypVb`s*Eo-Uo?%Nh#*bLGNZHQ=MH72wV=QQbY5D zl1*dJKa(=>)2eNd;1|k4gxVijQO}2?C#jvjEL&p@g3YF;is<=xb|kv_O&kO&%M%OP zt)Bi>IC_@}b{q_BfsaL{3Mb)=oPx4_T$pU%us1IeeY+-y%$r;9c@~lNVys^BF zrjKoQj?muHy16o60TH7!{~R*>F>mf) zX{lKyN#uiDwq8xgh8NTys+1%M&V zySAPh^^f)9;=_ybKvOpFbz61-HgbhLJ@X(N%wKxEJUJ~3H4e0UDwe2cm{_jil9&h1 zXd@yoz}3Y9?76b{*O`u`36&+IRlKSvY=Xwexmtl0kl^YiOF3|0hZ7hx1mK~?;17j#p7G&KxE|dy-uSMmqqx+OkO$f`lxj%f0Axz3{ z$oyObrFEJL-x%CHjzNf zEvc;iE&x8*$4Vu|Vpdp8YMl0Af;qMj2|PB5%^^#FxZ1 zAb#RPCn0SGL_YgUw=jnC!5>;{$ioYPJ>YSkn@$Oo*O@;6Y!%{)y;A!+ zm;qg43ob2J5zpw|3g6qI@-`U7uFc5HL9aMA(9xsHpO7P&#mGp+)`GYUY~-#52S;SSCVm0sJo zu3-PFDUym_+{8*b%>S9+zl9k*c>Mjg5-aA`th>h~Zx7iu&qTjxBk#S7*g1aWgN`@p zj)*t)1$#FMpK)t{?0#W7`Rq6=MqzjQ{2sYK9AI_Tgmo^!cf>y0g8n?>ZL$1Qo-~Cv zA}5u|+b%F5w&AtufjAik!&LIdh)Yj!-RA*~4V+eVyttO>3|2q+sWke0p=18y!YOk{ z;80IUVeey7vC=BYAtw;n0X%^Hq09%0Kg2 zve*L)nXTRDAh5+WFZrjDp+3af0kZcq?U7)1tz|9_<=BavYQtxQ+#tO-;p)Pm12!|e z@}>8IJH)W`?aXnxL5;D1+!-Q2G}nJ{E@o*@!td|N=)HXt?AVh>pWKw)AebYjS%1S4 zOdw(Vw| zYzMa|siTPV&9JVOJCfSxv|*QtWr|DN7FPCex0IamgiEQKnNN8m;5h|KY>X(v{ZPB> zOW)X_iC~2_rOg#HJbPU=?2iX_==qtYJ$Zo6HS#ofWd|&WhD3^>#S~ti*pi#QUhaA0d~lnn?1`Ad4~cV%kN)w1=AD524ge_ z60MEQysv5%vDYFQrdY5Kbca=CsfnmVQ8sDZzt>)HKCDUA!c!H94#JRwA_x+4?h1}m zhhS+$9{wbwUchL9t;^Qw13yKa!5dIsT9Ph4W!>jsV^_#d}G3ejU#_;&~W+Z;H>?@i`2BU&qgN zPOZT4mwetJeaATPCEA-+?Dzc+a1zC2%BpTolB`QCX$$WJajU`oBOVd;E%somQ~CSS zS1&kT%zSG{*%KZ&3ECf0-jc-TP-u^& zlMoVd!tqY&y z4ut^0A<6E^%gB@Wx?KI$ootX_efx+Calg-AwV!nK%ZB65D;v<9eDfm zZ#K_QFR*h-mvWH_hKYluM>=R8vG($kw?-7=a#U`M5S>p4SyuXzr(9{!m`K|m)?|%U zexonkFG&NF`_v32v8gcaqE_!G9}V_O&p-BbL_+cZBkH{4xoqG6p9rBMQYj-cGAbi` z9I}Z>$jm5v%ieqMy~)hTDm3T{p~$L`ospE1nNj@C@8j{g?q7f3kNbA#{XVbrI*!-t z`E=pFF~t@PF9$Kt1e7acpmg;t97i1Wt#|9y;waD1cB@|Vcn@?tOIzU_?LY$~)y!BP7GDaNHhxUBTc$P(oTxsLV`H>d`~#o?Uq z-Uf-_%&S{9)pHN5#woQT`@(=uqJ@58NC(J>&pK729_YDqH}ivqE#O;Kq5+p>BBXr` z_R|Vgz#@*OmtVSua(#4T?@M^|VXsp0_lalzKu>?Ay&L7%c(g@#0Qsed&N43V27805 z{R?OEQg5)&m3+w^9uAQV_O^0vh?6P*#oiJ5wggw3qjvkyy;w}HL9>n!EAD-h1y9wH z2Xcd}9rYoD%Eo6}%$ULZNblET`#=bnjncgS&JFhHKYFkoHgR?Y=9@FDsvu8*5L7;b_T61ss{cHLt+AeLMxMMaxw#ErkG^@Uk;! z8{#K7P5ZuMM0o=$7fG`GK%k~D3MKqx3E4_oED})>ARF{}C#l^8;!>El;tbIKzxD1c z{dPKp26)DvK>L}oAlq8{3^dQ#E`8j5AdH2|&NSJ@m|A3HWf?2P}S_G$Xkc4)sIp_B-d}p*s8M*5)xw_?y(CAdGS$ z8m1p9hR}OhUup{z`O$dzdi9aRJtihd*&0hFH$xnT+FKOXxxV1|#wl~v_5sRgSrHxi zn+z{@*?-G%#DT#fkreDlW?0JCcYtgR{jR+vp5q^96@{dC8~9btmb6I(_Fss?|Tr+ zw=q>{pwEA};<(fE%VBV0Kl0qQf<(ADsejq~n?KOy)mZF*O@+$X)W4N-iBPVKU3!tX#xJvGR3Z!*bn}tb3 z*Xz?nWqKoGAkRmU$igZfX4)c|GPvS^JyhD29DP3odkrohMY-9Cvt~XjJqb{vE26gc z9P#NC7@dm|4-!A$z2Z%pint8nO3hD+gDE#Symk89fvFQPG3N9cQR{(~ZEfmHVw6v0 z)g{Y%?GN*Q6vVVrF(Bx?EHko!-oIIOO?$pZLnMuGuVVjIEZ-)K{HvuAh&ybb+U~an zl~)myLQO6Z&MQG70BM>1G z4k6nE)dqnmhm=dKIgIAslgH_Zt_Y#$)b&O4kGgI^Kq4)~WsP!_V<~p0Q{A9T*Qlqx zHV{Uv7KpmvA)c6dZW`Sm3m{%pIm10_0j?diH!{zJKu458zJyE=Y%I5&b94tE_7;CYD9oyz;Ug_H*m4vXD)hpn&~qagDnIG(n;&xX9VQrRL4 zqH}TJH_gy^{982gAFLndnnn8w_vMkX^=LRyu`CMuJDzu4TtSDcdVi5o9y<}v z$dY!%2lO6yvpBd}L1&!%JfEH`#EJJz2dl?|nY3QtpCe3IP)(5w$3`H;i`8FN8orCE z-M;$a1q~A>uEj|e9b*dj7ay3EUPwkgi9JVSAx*5i=SKAp-)Nva;a9d*>teka% z`K8pqI19aDq+t;h(GFpv90X$GzqWCpJGU+Mw_G3Ax-P zxdC^`K1*|C)++{#jB0G&Y9da@8oki4nLc!;K9e4BbA`^GEwQ*Rf zoL-#gh;zSiJ`Bzg!270nFA2}D<2gq>4}-o;%Cv1???icS1--;F8CoRB^s&U<}&NyLVR~+{-`OrvN(omejMfE|B(neMe{B>-I4I)Eb*hGS&s0L8vDW#=>rF~UG=?;{vfI!VQ1Us55ZeM zjkzu2fz(6w?EU-zShyT(M~r&My8*skMz3fw7rEb6qkFFZo$nugQlIe3zLj$7BPAfF zV1kx4f;QS}dZ>wQYQFPu>%)SKJpffvb%T+ITU09Ne=hnHF5 zy(!n9NlrFka!LBUO)m_BIbq_v^QWO>#Wz=Y++wkm5<~qg(_gWVcBSlm%)hhP zUWCYNN=jAx91x=%8ncqd3^F{*DcL1F@I+6caj}*faovea&VRZD)0Vl~+To`mtnNln zf;czmd}<&{FFOgJ=3N~40yv;G>8Vwh<_Y8ZA@Ftpvj&N6yK0QU9{2tVa8z=^<= z)BLu=U|;x4y4Q^Xwgoa5VxCb0N3z1#tOqRMTPiFjSjGYA{aa}Z)iYB62G8@uIyIR8 zj-H=i5&)uqe!n|;4`a#ON-=%t_ZL&)VDa+NA-Lw5yp_GV^vV?K1EOnAL-Q+@+m+u0 zp>q6uxToq#Y%qIPah;C`Om~G@Pi8ZLjv76G2k}*S{D@!dtpppSQZMBHa=Hw}SBj?w zg^q&Om0{9lBRVKfqrP=Y@iKfBiM!~datUJoIzMJ=K^&-(aE&mctI%moH@euoDfNfx z8;$-V7o6c|ysH+=h*>%&~T(ln+pg!A}`P72Koif;r&GDS<5Af0wtO0B81DP0IKvL2l1C*9 zBu|0-SHiJ8<7KH>fqa`&@_aCVJa@~!o%=s;HSRaXJ$Se;3HNH?{B@kui}M_D?ibF7 z!8rnW-xTj9;rVqu=ZNQF@VzNMU&rS#_Dn8QC2EYd)aEX)Ioqe0&M%D9*p3oeoL5J=_0HY+VoS4ilMpl9IaR| zFKj)zr(Pz=0^*7b0jn$QAj65xUq8+S?sZLi!9IM@a?Rz3xw0@Ih`*`819s4fh@3K< zX9Ep2_iwr0M3};IG}}Ho(|_kXMJ5gQ`=cz@SrxfTh58uJl-g@TCmn&ji=8`Y@fJ35 z1Zz7pZ4McdyzVBv{?L|1GVL-M1twgRpXSC8w<}Lz)Bxo{&dfDfn(FXk9{gON8VYX% zox(M(FVyA`zM8==N$3d8@7Yht+|&Y-JDp~0T>)@d`1tj_pCMrA!E%GTHWI3T#R6ImkuYiU6Kao5YbHvGgpu% zX$T#=s|5oq9HaePR`A*F%J0t|X3$9Y;K%{$&%XNPIg!zlF;RX>10EWmOV z<&9sJI!?L%QG6}I==idyi9|RiY5;24PSUc zY_GtS))g4ce!t4UY@Fb#x^pRMzQ?p*be@pg27ZPJc;O6v>*M`lW6BK+Xz0jao? zJj0kAb}_4ZbP7Q_kDt}+++f=9ryuVsioNnf`)*og8>V+@t)0MMEV|h{#Lf%SL;4hR5=n zKj|G{{IayvM;gRcx=}l?`obH2XpjYL_}_<+0{K``4-@da9=<9m69TWla$GHE4TnAt ze*!N?U%yO_1Ft7P_B2m->TuGpc`nqfUgN9>H^^IsoX9O3ozPEzl7KXiXR zasflnmOsPPj&cor3USx!(Gt{f3G&F@gbE(*JAlk5nBM7-&h6FKUjh&^Vk%{7PW z(ReVVNu7`SNk08-)H{vN zkSEQw<0E2>xYlR%gGvy;94i++B{M{fS=2XB_2mspM?9q>CkLmk@o^i#& z8JKxYX|5P~fzrS}O)wGi8Q8o^LOD!j&4~CH0l-Q?qeAay2?ssCaS!b; z!yPVbzB)mauj3s^Ck^8V-l6MXT1d<>&-keI?Y-*|;-gD$blVN`XB*n*shr@t2;DJu zD{J8NV8ou1%0lz^pXCpahXCPXpZ_$uEA%F^U8hm@2a?ol5B~C?Jt3XJGwE)1SQdq= zDiy}ywa(L)RuurNJfHM@0`CD4=Z^Bjcn9=(4z~^?3I`tc(MZA;SCHTl%36DA4B3Xa zkB<%6fOkY{@*=+44u2-o<4Q9)HbMgW$&HsC%ejXMM5ectk>0>w z@cuh9MD2jy!-Pw}pS*`n(Y<5(HE#}e0%^u3ecITQ5A^97GHx)-<{12xKn=Vt$zRKO z1jDC`vyp-XD$vrwF1;}A2oLnHEq(YN2-X#LS8g5&f$ItrXQ!`d!r5U_y3cwp&~l#1 zW{KVadu8W8b-Vu_NZ8P79L`1D+&(Gd4cb81NIzZtbkqu7WH&pKhM^wBL~O?tza4y` ztd-9gL;KSaP065MKd5U-@_s*S1?1H?d=x1IK)vJWh`P2vkiAS_sN1aqK3sAeG^3w^r7cLC{UQ@wBLUfm!P0@U`gdopc(HVG`kE`CY@Iv<;-<7vq zA+R2FN95!aOV|pXR$S)i#n|*oyu`2RVme(1grs+@F}=8S5$p`gpFbtH53stA1@WH$ zypHzSB7ZNF=Gt07Jij(`N~Ae<>?udGhl>{Sb(YNDZAAN`NjtJ*`>J5T{W54xz#q0U zJ(rRL-GDazrAwTi4xCUJ-hAS%4?2en1QRRK{fg|EsZ)pryuB$tY0`)8BUH=bM~0jr z`j_{RpTuFRY9h;Nk6UgHa0!M4TBNKcfFd9dD{PwN|%m#~8^_(}saBns4 zH^n`8xGxF!YT*2JoYRZ*9C7X!&WFJ{0(jpP?wv9Y5FA zKMAsiI68sgwdYzr1cAWh)hr}=L*_j1HH#na==Ws{rBDdoc=rCCl^+y?wxkPs_*$fq6kZbtbv4C*4!BA zpWJ)*T+^;qo)mMj&U*+c|H^Xj?WMzgwp90&MZ~X$wVyW~Qb3mZ zpz=&iIeca9)P3Zg4$V=D&czP-P$pei-O^SG6t@C;#^fWxc*bONDn1$By+2QPBDxSN zRL3vAAI*og+sTL9iZa3cn03<;*(A8A^pT9m4RO*Y!gu{jW8tVPZ(aMnhp@^QYqxz< z3|5YB2C5)WGLO&%^TB>FnEsjXdpnl|im}C2<#!?=@10Dm;e&_BC*Z=*;fnG$zGrp~ z+X`W+9)(@`Y9OQRn!@d{Bv7^Cc1t}~06K3R+D#GH<%XU<;YKssgLy3>6bItV?!9fC z3(JDVUv>W9Im?iLal7ldST5)#=am2Q4M+Rwx*x(!SFyhjh?xBkA+LK=S#6nNKAd*$ z6%sgg4~uwxcW+8A0Wx-cH}y#p;Q15didCWlc&2yxZD}?7d-7^^FrN+`+Z`#>lGR>mSa?%ruE94YJQ2vYcl6qLsU^&dO{cxG! z;KRIl>gb1Dv*1SgRY~*4ta=c941dmM8Y13}|Tz_^cECvBTFa z9`qtl+2i`27L)E^I9PbAe}}0Mo)dU>E9qx|_`iX-F{SxX?*6eYK_FWDJNImD;*nm%#cZad)P| zT)3o4uO3m53%1!;#FXVKAe}7Wnj>>EOen-X{?eHYo9{`c{*9mI4ip@XP z*{z|-0e|VOy0!1l7}ss0gZA%f(3~0KPDZT+@)4UU7sHEyV^yOoRX!h9L(=D1M*=XZ z;dyrt#caqK`4>tN#0T{2hL?yIv!I}OS?}860$|dA6+7%$4At(7Iy~re?ylif81WB% zu8#aO5p2(d-Y~xacltu;tq5P6=uCnjQoe3^W8?v3@_a4)sR+*5=ouGC2V$G~InzTq ziI74^@i9y{1(I$zFTXmDIE30sj=g9PQE9iI6PcNd-m~b>C+vm;u$5>VzUIf2?5!1q z1B+mI_dsVny9D+PBR50Xv*6S2P^c3vH~7Ul|IS+r_|IF7`%Q5V9_~xRy&5=w9q07o zJV%`Sh4W!>jsV^_#d}G3ejU#_;&~W+Z;H>?@i`2BU&qh&(X~d^x`=W(bMB~Ej7BJ6 zZ0S$ydt$*ykwWVSI)?~dMrS)Rli|>{A%+a(bDYcdF)a=$gN$p*Bb?=_Kt*Se8}C~P zI_~muyLvA6+r7?q0RZ9!qS5hL@;z$^%{q ziUf!|1;K-M`v?3AXdkO)^TWY82=X^IV)QOvz?_%}JhH;Yu*+wx^AygDqjM^O{^yiF zZ0kgv3V37#u5p}``{iDcecGoXgWMD96`yKwtOi5zdyla+%o7`nY^o$8b%Nws%yLFN z7)}-iZ#1fT07tQ<53#%z#8RJg^z(6qhB_p?jp8t;KK#?R0wisXMG?=WjUU+D;O3- zxI2t=J%J!XA}}r_5E^#t)AzpEU@F^6ceca>K_&86wc^PLusRyU&9~wQL9<#V9(SF< zU5IZfNQwaqJrz%^`P>b}dunw#PCLQRnlo+U{Qf{#<(eoy8v;kMa+6xcP+;Y`p_m9*)5#84k{wQJ(+{Hi_1+H9=w%@5^6ZPd{w!wZNXLF`_z zADow@3M%{P1RN1`Qa#@Cu(EYO>i6wX2%;I}q2EF8Jw`ko-H6MhM);lNt6wOz=(RWA z^t1)})(=$2Sge3jHKy*Ebtu4ue%|i_J6N?EHF85eZbI4j`tnwxaLhN7-(~av{yhZx z^eh(eqVnY(4?ah*sO`*E&qetW1KPe}pOY9>&Gv+>oDDoIjZdFB> zDz#x2F)Xllh;8SnFWj{4PWi%ThxNAIx-@|N0|o0Z`qUN#!7}K}Ozaz9c%D`kD2m<# z4)u*r>d}V+4OK}-+CwFHBf}~AMZ_Jt*$AIYoehELx@U9oEy2Kc?V0^?ZF4Y;$sVg1 z_JTqB`?ckcrr6DD8M6{TThz}BPaNB@0eZdJKF6tGQ2EPgn6qgDKUx*ZPY8L!x#az` z)ajn^=`ZE2R2dIYZB?2lcSe6-6|w7<=zGI{i(crmR45F2MykF?+##CdzMoze+QZrl z**EeREg;U?VL_<$6qc&ytbREG<%-^==+Hbp1@q@3>+6Co;Ob+u2B}tO5H9=MDHY=b zJxyZJBoPX`TWbu zu*^w!(&K{OpjJHQwaw!JpRR@k8Y$Xg66Os*9bTG&8r|WEhC{YMsd6%>QTjeKDbvQr zq=rChmjAhaK{O8-9@@@sx({wxPs>#fJJ_Lcs3~v{0J@(YE&sM%foyoS!0`t9K2@RUSdF*%Ub89P<(`r=XQ!PV&_*Oy=4%zz-pi;GGcx?PW z7QFW1k>xXOIR5GJKw4$!f8OfU|M^XE4<7DI!o3o>tGmWwBI=MoI+iKLVGa|I97>#jI6$WB{)(5Y1(?O2cW)ea;~iCckkDM4t-*5~9<+l&WrUb~j<)bS?m56!I-ZiX0JtU_7yFFAAhh zO?Gd65W%w6{H2P>9)PR{p$`w5E1V|%c<8ti;&>UV?VaCs1drFvnX2JYur{!r*y(AA zIZKAIpF};Q!))Pe*67}NWrOBUtu*2-);Z0$+6BYhdvD$w0;msedr*5J(+&00!w1?g zxgl?xiIn)rM_m9~9 zM%+W0s0-xBuc%`ai(@J>s}G>HwRv9`aqe@b*}w3e2!(v^WX*q3KHw73>NSn}&6T%S z*;Kd?S1Ud-`55BHWcGf4{zlM}cyo6Fkc&PI@4Iqmq;Wofl+<{{F=&7YrQ*x{3UMoS^Vz~eO4RG(|7WRLY6;i945w)DXFmjCc^?-Au6wn9=#3EyU)79aspg3I_)gW zZ-FhJ;-ce~iGWse3xB2?*1(*VSEeo*3L_-`V#0_E7xJazuos$7dW(?Vs#?>9xx1}L zHx}Gs@4fqH{tCn~))ROlh&;kRgDh)fd0tQxUiSGedjC?aAf@mg7lbdQFLL8hUz0B7 ztP$I9516!-;~b_82l0;8mr@^ep~>!VxkC`@V+v{!=ddHbwHKwv&k$eWOxd91o{56j z>8vGBKOnBi@rBbr(!xPfb*}1xb^`oyJScM1^MJv6$BO4?Jz$sYr_c0RcXaOkJ)N}{ z4ljQvUHJFI7DoRvve$-qz%3E_=j|sRKv;Set>~d(DEMf>!A^~O!%tKF$JPD8LiY`2 zU%v=E(>d8YW9$zs(zcG zl=Sz&k54@(+A;z>*KXMuu*CrVm^W3Al0PiVUUt_)p5~QbmVhF3X=k`BYCM3{`DlbNb2{ti}pGwU@fv? zArHW5*^RdVam9?To)S}F_kx+R2K$C{8#vE-vI5tMvS&)Tbwq-k+ zPH&T8aOc!)RYo@0_dSu+K>5yv;Jhz<46&g8Cq#;zJO+x|dtZwv7JzftLBFDFGV-VX zvSakffj`t*`*Ktd!NcuP>a1xbr0st&xtxr6U`#ZxXS6fGdEs+N?dLSKPcmy8E<*eP z>g>E5f>F@P^+UhaGa15E27ai~dqDl}mAJs992mZN&p}h(5##;6;bS6)_ES`1=YOVz z!?jt$NG-J_5DOgQE98mLzv;qEoFtxkF{Q4)@)L1mGc#=$UP^!Mu+xv~5L%g5oht z5?$jsP!&|>$y#SshmxeJ2=7Cdh zHG`+(L$o)EUCvoe2DJ-3H3Pq#E(ALIo**rKX6&!e$j|_qA1zvH$dWps zeF(#}G*zQ7c8q(1?sK0ioH|7}{)empNNY9Z<*j|OvY+A;VWa6_zNqnqfy@PY!>g#N z|E0s@=pxZ4JBVk=-DMF^gM4@851uE}I6x;s(7%^$sK07aA8cWm2?n{H9yIQ$pw!qG zb4@=I8jBuXm+44_CRNK--x4|OZ5x4O7Eb~Y5}9ZRYDdBFj$TNtW;Xb>fB!y;_*?Nr zUHJkz$SaV1D%Y7Y9u9lW_nY010|x>Ig8-2{a6IFBOnWN{7CIh|u;0iA(n!9mUl|_) zWt}MVrP)}hf8}~ds~++6viZf%><7ZprEtlAuQNcv-eBq->OFj}5hnJp2nU(%45ntf zSYY!reE-QI6}sx7)3hWV!ZK&1D2x+eIlI*M`qQhh(6;8*=n)B*{#_{N`{{+P&R@$7 zcZ`F8pLr2+OBPu3mfXrxY9?$e^JpZHrNUxI|0@YwAMDGKJQ7j{)W2R%O|N?IiuN*I zf4ULhaQG2P$-Uwnu&4`Q9{83AvrRPxNWEAAckyL_Z60 zqgQXfDw=bK`B=MEP0CE5nix5+Ef@^cJp;>9$#M|qclpTh>s-+M6?4)&rvQAyUJv;v zBtV_0jTWJ^Irb}Qh-hxz8{Wlc-!`Kugx?H9j+6!2aAwuBo@=fEaBns4H^n`8xGxF! zYT*2JoYRZ*9C7X!&WFJ{0(jpP?wv9Y5DAj!6Wp6y?E; zAob5r0ST}g-O4gA{16_pe5g7$Qvg)uGZ_yE5chm;C&`U62b{%6`$^6hfTH_y`U&D} zcJ5c@ z>4m0`D8DK6)hv1Uf(T?)@7+;fQ^52>lnDZP#x{#3Aw^vr!gl0U2UdAPjMi&Beky~%oYUQzm?XvBoe`3WjCBq6M2D;Z0L_m zdq7aFp(rE-0Plz%bUj3Tku_54EX{Bz4NCjvshtA^g;Ni$6 zAc;X9Q|i`%O($&S+sxv3IwM5+3~LMc9tK7NPP9MS6JURs&oK)c`P1UN+c?#%9*I|$!&mI?VF1rd||8Y+IKk;*M0hmQPqGBHly&HQ|r*iSQ)&c7ooIWFQm2+|`Qm+zekxA_Jn(^Dg_Z z@3>Dgyjt9#xqizF2DGgFa&!D4GO!Mgc_f0$ZrFpba_HPisJBosbAX-60eYfm$g`wK zqu3Ra1X16|4LL6`W8Pdb6?5BukpKIOyKbr{Jg1DezHje_5z%Zp@+k;mJZ(y0N?0_E zNsEZ3FS=k~_9K6Dqj|~Kh4Hny!5M~ z2~^d)KEC1{2pM-}Ndk-#;a-)?umIvnG_?>t*FEC~I-H^fw!smQk#R6eykv~2xmU|G zPWVHH`p1Xg(cbD~;9p`5=R{a=+de%Y>{NF7>N7Wt>iJP^q9i}~VZ><^JZFu)kv-bMKN<-XzTB^* zmV@E^d%HTjN3Phb1D|Te2~YSF$F5kZ;|NtxL%+<_wLF{^w`JoILgGZpy6f=MYu zSwFhJAM<`Laz+u|CuZvkvZf<1U&nKfcpe7do8t3zd=7)(*YR_`dZ~jcauPk)4Y6tyyzPHLY21o?lgm}w;Sv};4)60KLPUvnBY$;CPkZVVMFrQGD;+OTJPN4F5cG`%($~<*P8_&G5p? z8UmLq{Y#)U-CSewPBCQ;j?S0&oWuS4KE;R&)xK+_@(@^ftG=i5 z6+ru&N1HRUX)x62`RB?~4*cvVweI_X{0t%m*Z1$2z|6Ckls{2!GO9{LE~PXZEadvk zt8<-UMEf|y@3S#*fuQ;${gwaA+i8obgq47tUf}x{J7X+?>cF#O7kP0nVmFpAHbBol z>f+}ogZVulQu^g$_$}go;k$S|6d6kvA0b6N=MvKwM9A;#HMZS%xh)6SmMH!8_$uJ_ zga|K*Sq^w-9UfU8=uaQnPIMaqZ2gO~hlfj}a@%M%*6|w#qMCsD+$8#!W_r za^yj}SK`+582ZcpL11h-xPHI;%BTkU&Oe=)zk8ty(w-hNcx99fO^w7tjrFPEAM2?+ zs2dDVR6g1p(B^?b@Wf*xPj>+I+#(~?JN@1(rOYc=4ZA1$m)b3aFimEbxKD2jK;Cl4 zPRjf;cKmg}Q*@~-CMP*1lO^U24l~nK60aYFoGlMc$+iz>ru^zlfm#W8)nX&ogovj~ zeVk={pa^_3b2}S|kq3K_g{*8N4~`lxB|NYV0IaN2#(V(re-BCiIjV-ZAxq|qMb$~L zbl38@h#%@TE4uh_5Ep^vH*YQyUO!;uxwK)5-jnX`TIap}odI`tGA?l#6v5%7hmY4I zk)KUd<}vNX67(LmeV^e3;yV#ua=Y|9622U={OF-R!RI7Y<8RAY7mIHI#Vh02I|Cr3n_&RGyw3$wBGxbhvb~?LrB}i5!r|8)U=X>N_R< zsU^VNsw1h>nhZA?ZI1JfS0JuGOG-WZc|OP<8XND|!H%$J>0C$W_ny}9KZ7gj;8-J* zO&^j9R&yJcpUxvckY3`aJ3HBspYPp3D~h}-p%iNQXOREz?oeuNM=^LkBij^SE`{Fa z=r5k41;{_8T(Dx`0G_Zu(6tc+L)1ju`q34@^kD6s({?dDbQR7EaeEBUHBRzJC_6&D zRfwYmRo;KzYTR#%d+^f!=S#x98aRI)=k(${N1XeG^I>p~0Nyvndr5eH9nU%9c^G_e ziqF^aIShVZ$Io@Mb&4D^&N{@Q`?dZ2Nd?5Gooo!?NrB0QGeb|F6~gf|8Y_GHMQ|nj zE9J3)hu|MYcDcRqG3=2gc7H#b1A)0lcKQ{?Aea8?Ntvu4CeN|4G>m-jhyM5Hi|vH^ z%0DMeWm!^B0KG44bsIgvHlpC?193KrF&FG$S--M{BLFUZqdg!F%7mUTN;(%=%OJXt zK|M635O&BPoY34Ug)V_^Z#u*4P^eqMd2v7w1Xqj$S5SU^)|M}%O#*QU7Y3K85TC=m z?b~(74_PqPlBTnsR0t(mgVgz!4}m|ZlgK9{7$b1`oS6}p4~ITxP`}}N2!HgIDbFjV z!@{4vvRhfnFiKi@PHP|;40sNaRArWd@VV=YT3c!0)|~deTr>|(Z5A)?rBop9>Av=C zK?F>1g=(F{>nbjbCd1HUbA5lW2sFp7 zwBYq9gkKb=1AN+?u<~p4LMlfJ;rv9(Q`PQjun&?F^M9KNzEzy-OmFgFE`5UFJXHu} zt)FFZREq=A#Y;1H-o}HqyzR0=ekODikc&tKmx9MHD#jXz9N;aU)fV&*2Z3Lc!in{l zu(y{tif#AY!FRB+Qutji!~_d)b|ji&^Nix+}8Vdo0r1l_)a z+j=t0^I^=Q#waH>ZbK(bodA-5?JwOwl?*N?qPTpE6M<1I`bwF07DNxFAM{pwg6B*a zf!HeYa78d^)Ez2^!~YuhsuC_^k9>`IJ;O4AZYpK;rm~2H*>uU`JmtBl=q{# z!u>-B#v0z9U|L8b$-5m7me0cYb&T^Nf#h2+fm0d`(?-jXS)_o27_qS_1eOwvUgEGL5NC7nen-!dVX3dRG(qV5@%X!7 zd3H2d@kQ*z45zfzf@Q#pzi`732gq7=U+0h(3T1{?k+$;u2emoM;{Eqy|TlL8`23bIV zr$KoP&2u#0b_L-0PV;&X{~(uuqCy8eAPoxM2V0IuJF4I{j#R z2xYm;113*$;jE~YBM0V>P3K0oci+o`4;e|)SIL#YzclcPt7#?}*$am}Y0d+xbDrd3 zuZy7YL+*AT%DcRqeww!FmIv&~eiK}eGT`-kK{=5R`aLv-QfnMd0ynz+Hu3OcaQK`% z9(K0~!sCD2n#cxXdwPMKmK=$Y^!=+I|1)$CI5K$q0h+VSzkHxmvE>W0&uTW!Zsfw} zzB!t!jo~14Fhfyxh6@r#9#GyHMRSTj1EEeF=y|aqp}Mc033Hx=p|hjp(95`BShea8 zXC+Nu=}ebG{cJ0du;)V{&UJneZ(I)b$CtkGi0WYc>^9{w-FcAlH85d5wD>=7HSRaX zJ$Se;3HNH?{B@kui}M_D?ibF7!8rnW-xTj9;rVqu=ZNQF@VzNMU&rS#_71x&rXf-oz|%hmL)X#V}bKOQgMy%_lAi(T`jo2?28Lfqe6vKt+~U`$WD zl{y!Mx#wn{kht%N5i8w%aw94nKD_kIzMqf`|5{?lc+q^ND5&5-HY6E3or!+&vY&)U z&o|Udon)|;*XzEFU3xI47RvpZ-x1ywZHlxJxisOX8qJSH!ATz~ebVk2FyH^x zvzZzVTD6{b<>nzkW&3y~Ce;HJCB%Nc3yA`zEb{t0Wwdbhv(#4TE}9$3dA7yyxMCZe zr}m%t>BAh!mgGsqO&yu{t&9jxgziJqQ>Q+K!;9*=i(8b5z-RY2qF2uy%S$zQse1}> zbW$A1pWV-Z)fk8~RgMI$$MHVQKasaB`)by5jw+gW_j45b1%vbPl}?ZGK+uyA7A{VV z0oikIRi#5IaNBR*!K^SD_MHp9m0$IM_ZoGQhL_nuFFjwd3VB+lZ=Gt9M7NvLf@70w zp01d`)Asz29aqqOPHS$9`X{B8_Y$*3VnAW#32i(U+gI$9NXFa+=Cel zUHWxI|1auUMUV8?di$cBz^My=pLk-zm#TKgZi!*?PxNb_lO=$2Bc0#DOAjowUn^bq za5((46csdWRfUE)U*luRu^@cqW|xLF@;PxlJy%Ma0%Y8oYt2P>QGcEz`8whh9jbWw zC37i_QS;s4abK8! z98`uGB*Q7yPflN|KQ|nZ1 zAb%vFTJGxsd)M``CmbQbvaJ%s8XN;J#)lq;wI{>Z>+kadJpy6ywaS?$H*$F6WD{4( zX9H?kI_npzy)hTohsOMCez17#_T30$2aG-UT_cxj4EU;h(bC=x2ZuD{8b3b|Y<4Bf zv0BI*%*eLaB4ym+MAN_(OGj_`{*EZd8tt#v4MgOLnG<0n@a?xhC?B+QtwOjF?agK? zW2mY>#lqezKC-3ca7fZyY}k=S{#+uV-7&-|sSAi8^2pNIO8 zAsj5^FBCJ3xM5Oe#gv{2so*yMMfc&QRLE#JQ~V)2{QrBa|K~TwJ$Se;3HNH?{B@ku zi}M_D?ibF7!8rnW-xTj9;rVqu=ZNQF@VzNMU&rS#_AB z2u_n;Oqogpy9J$Y1^HyK{B6`eQjh}Q{ByPCNB>_@=iyKFAHM$-QL;xx86lNqXU1(N zQuZn#du5O8bL@GHbL@S{u2htyUTLS2M5v@mDM}$(zt{Ki`@TQlzrX|U^FH@|-PiTJ zlEG)Zt$`PCzfzmT4VlF_Wcb6NU_-+H@n`z^J;b7t;t_k$SgGdoG$08aiK)Y!mi6Az z2OZZZqTNTh7P>FkA-Z|B>amnOF!q&w_^hA`GOn~!heS=gK#>^!u_a+ajEk3*NlEpmCJva0=bLD|UiBI95FRAclly!~gSQhBYC3eJO zF6s4ypZCgOz4Op>Tl6!p1l*YAOlk_NVQXTKZm4-GT-%+Iy&rSo`E#FmJSG)^;ONS5 z&*4JYwDzR%(k==-;`zzShVKZMC*J4CS5Tps^}0a1RtP94KKc!j#h_Qu=Ra=|j3#Uc zbe&S8KzMJIy|P(0NZT=*a@7>Td(m6;-c8vM)w%D)LFHly9(;Le?)zE9Ej@oJEUg&s z^j@`XenW>!LyxaH{1nJI5h##Zk9p-%iK`5A0ZEZ^LOF3h+d2Z`Q8Ee%OdZ@!VT*FZk3~i!~vfZ(CoXW=X;Q-Fo-? zJoKs{)>7wBl4K?3;s@<}u@mPK7M(0l#^wP!^yTjteE)rJac*{>Q8h5U{55jQG6j~B zdSVCeW`Yn+V{!Y7LJ(i3=g5lEz^dNt=DoX^i}z%^3S_53=dp`{2RW;OBtOEY_EG}z z%a%pj-lE|C!yjXEUt_^%RQ#QKQXCph{CQuAUl-z*ez&ijEQ1@m9}CkOVvus*vT5BZ zD*Q<_`lc@F3EBhQ0Yf}R@Q-EP*pO-(ME-qx@FCuBluZ}U)!zw#Gw$14_AX@ryJ@mr zTze_FPm06_Iu^ms;)}iLBF;rt2$HO~7hqrRY?(ro6|%qnP(FQ;0y%p(2t01ffS&im z$>EsS|2996SvNEshIbBB+mfkpGvD1=Y$gNtA6wk{yCxlyY40jV1hH;H4)Pk0&I9{q zmJ`gBVz^D?c_Z=@@3psoJ*mo0hq~e>gD?2+CEIr5*QqCQ&=$}USKC2@*ph~(w#R`m zTbuM+hnWlulCz@Q*wev>Q}O6PDehOWP-Hk=Q36Hd;q47d*pFivF^@0uNGL;0!B!+0 zGW>ZLq$n}SobGKiFOdyhfFN!dST&pz^`yrG*1#;x?i$@M3T_ZNO zS->9salgDg_F)FhwoZ^U;BfEG96z%XFqfZ{J@udzQp*l$D`UTv{zs9r8NR|J}VJ`Zp zYnfCv_}tm)(nT$U4-e$<{iGTW7OV@W3FUxbUB#nJoX^-)ZL@PBED}kL-Z1$#JTB8 zc@6G)Rv-N^SpXRw?=1L}Y9Qa)Zs(KN+OXM5Z$C$Z8e*#l1^g`vz6Ss50-8x+qxO5f zN+KDw7u!;V8fhTkC1kLEu^1{I@UAKdRl)1taf-t443yEcWS@`cy)9-Mj^D6P=N+Pi zlewwz>zRV3>2f--{&l#Nb20~#f*Lp-rmNv?NYGKypaL+ePPoUnw*u6cETt8J-EW~)cIm5$h@umYD_7Ca}E#X)Vp%vX3Df+*M?NMzw5VfrbQvF z#0>x8Vh8~fZ{7RB#V0$$7?zZ+-d zf)m?VaLbiakm473Rd*;BmE zFaRVB%r_o3#`&*uyG)ZKS@7vh82PVyAxvD{y!}1UA(Un3e!(y0K+?K%>E&yjJI_4p z%FDAC_0Tk?v>uQ_fQRY&0_Mvt@BDPhi8lfbMmiU|mXqO~7whr~qdd@xHW+oeS_oec z2<=h9Ki}j8w_{yh1iTV{-h6Lo6})O&E#=gy20yns7EiZoP&8lNd~Q!I%=<6M^(^JV zx4)g&*JHohH?h8%RsqcU-{^GlzGXUGnpse*j>7$HVy{nfx0XV%`h%jVltNfuN)|cY z8Uu48H?kXIGeA|rU{CW(4fI&A=4uGu)hLHrfaY#06e{|F}O9JxGu~ z7H-zA#a!NOgc>WL$Ix%yNID)J6`s?H&nbYw^r;hr;ck$3;vir-l-QE=nJCi^=axX*a|Q33J* z1ukeoXcFdM1Rh+K&^?WH93{%35!_E8w52oMnXMd7#o8#>u+_qjx&}tQwJhxKOPXXB z#s0yiRU|YN4FbV?JAUjdf(Os)dxqO^zM8roj$lsOrH!j5QEHf@AG9xOw@?Y3Bo)bS zORfM_T@L^5H@Q%`lhLpAt}+_E|7BOu{zNGF?ySGKNTS0(tcM_GXrREi7RD+RyW68b=I#{kZk?z;c1IFGKmq+D+C^`Q9&4r_9 z;nU;>-qL0|&i&EMv+JwC?G6Y!cGbXD*2lSF8L_C2MlsFD_k^d9UxYkkqXWmOb3S>y zsBnM$l=I5HgNRYjZc|xG`G39DM87G~gGclw5xp7&f1Tj;5%@CK+efQwy50%4?Amj5$LwPV7)0` z2J<(?bB2bJkYiKmi;^Ey*qHM<*Whj$6k2;MCgJ<|QJ0>{uGVzORC;Fr`Ars(%saR_ zxvIg8-;moE?-ds#o?Mb?DhBrJhf+8$)!_YqQ~MZKGUWJNsQ!feI<5N;cr#%gGq3MR z2b~S~pGa^bD)uWTlveCt#d(Tj+y2de!*_e}t>)Ebx>1n!BO@?tdkKVCu^8<-;D&-z z()hR@k#XPkmNO&T>ChKZwP+SZ#W^dt&5`#o@3_0=?B-o1z%V1ek>4Z?J(2BK%*FG+ zptIuxp`CT0y*_?GeKQ5lN?o58?4d%`rVj3?F6<-UvQ=J}0r#Sd{q2hwNCggxG)IaC z70lZ;^iAigz`FhM!yR!&ATbvdG-aLuDXRC_C0qc?zMJv0-id*$=G8KBP`PtwHR&{1)zQ ztkYKw-$U31J+dm{Ozhsd_~IHMeX)%@hwrB^=zqspa8K2@mpW5yH>xqWb|OddS_%YS z?tHmUBojz8fxRD?X^_IcxY=12?{j$xPZvwW;Av#B@5zIy@bUV1cYR1TsBB;pG_aCI z6mFa2A)9i6C$liICpHq+30qe^?2kg{nyv-tKeK_C&+5O6tyaL)JvC+CzGyVWrZef- zL<2)di7bB1n=s5jgKp#(fx_(`l6oc9G2WB6Ivv3G#f4)Mq1OVT_WfXJmJsIlwSF?G zx={iu9h}y@aRtD1fvr>w>wyD`sa^BfA3LqA(n{*(KqbF+d>s(a1+TK>M$-kEz!7wP zXnPTUZy5+!@OlPgzqZkwrB(qLs$Egl)5!p}!edX98u0IRAb-s&qY}2AIo@EFl@I?; z2da5g7J+n5n$`>Z8femY_H&I($N4jnlS2E_;L;8&ibP2g?lahU#m%(X`WN2Ay1006LES&kVko=rXt$NW489MuH^kTDePfh4_IEGlCUGm> zkUB~Qmc(~W8LS0R@uS790sAp8?=+GQKZN@ymZFR;SSo?^Z<$5OHxU(*4`+U9%!KF} zyZ0}LGI5?m=mE!dTsAn)6D83Xi1(gpqgW^bv9(53^_4{MV4b*sPS*$t+o)u|jjDhH zlJ51L9r(GgKiqY}D;GFXfW23*BVtM;t=QiUfi!9Bx(<9FX`sr4q(qd%`%h609W?xW zz20pvrHk`3oY#Fua!cT{tB9{Y{+{0D8ZMHH_bV5_&GP~my`XJxN#@?gA`m_FbNGW} z`hUIEM87G~gGclw5xp7&f1Tj;5GdBNH2Ap6JnouHadxYB1d0665G&U3M zX1AHgfo`Czy4cfl(77<3x?zeALe{DkB_nh=@aT+@q13zX- z{g;{3;l%58(?epom%4V=<4=DMY-D2{ipBHSy{SfKQ|$)um*iCF3@n2USFES<+*9Fz zl*EPaemjs>w>Rs^q^8Kd!Sqr=|XdGO&_ti9%J7KC;ut28K7 z!?j-BkVvCq*ssH5_VZ>kwBPb~=W4Eir;i?9N*ZZ}ciwdhJl^L(JFNQnP5u_R(#RTK zvs4S*oswJix8Z*5ir<{OJ~Tr6)zU&w%(19($|74CQ-O9+_;)$({mOS=ljD^s1IjH` zZSB$s*wiTWKn?#sa|0(gG*vW#3%jfQ>v2WYT>rxQIjtPhLO1otZ?uQ$36p(Wsz*#rfU#TI^%lFLWU0 zP&J(AD62Jo6$*1|wO`)Ymjly0R}mZLIEypTd`|k*fa(&HZxn+kL@)ZDded103_;#o z-SOQ}azf$V*N5ql{mnqCrQjT_9WHq5;!_11jtZI-NSDKwJq$|2QZ1n2&>zBgkcxA_ zRij@R@g3OyM}FQa<|#bPlKXbD8uP+mzTCNx35rLe7%jXr;fmSq&u&p!&?5QK_uZv3 zoKGHbc(JJ%c6Con4<5wN>8w)=m%AFOtFBu3lw1wT8$459>ANG>ht6-5=|!+-{VGK^ z#ud-CdcNEJ>Y%<$myutt8kkfqDB3o$=wFW{pU$&N*bwp7!2GW{YH|zx;k{f5>GEBb zUF=wI%?-IM`UU&2%rew>pQpklhvKiz*k@M2cHgaXTM6VfoTC;<(7~#;Zb|K98PuO&ViSmR zhQ9{IGx3i}@UAnRhhE2ydS>4i&oo2+cNzIdb+%BEJfQaTbOq2BKd;lX zs)N8t*0MvXrO*%k)f!bS1I=?h7EDS7uv8=Cb?R>Jf4$X2zbVm!NAx8T zy&436o#6BmJV%22Metz=jsTH2C2~oGf1U6-5`GxsZc6CugbqW@>%@D#fhX>!(vxOj z%<1-L&@aY$0+TVHowZP3s=KhOF&=HZdE=NE_5%|0`;9d*P7enc^i4kb+0c2M&og{% z0{cjyKdvf#eB2qKpi5=sy&-VnRD%v9?giv@5~(Z0dWbYd`A%F-9%Lwoh}+`%W{3Z; zodw@y(N~F!&fHlRV9tVa11bZdMviC48O&23q|Khc+Y<;M<(S&GpU#3_TIl6R*x&2B zn96OCjQjW2T^3?IABNgq1mBmo05gT=E7}0>W{~csQ`MlTWb~Y-K^icfNM(v znE&foyp456i)n|wcX0k+lHTPMtd|RCH>3_);?MnW*~SiXR48ny`L+IM5*cdl?0DIV z=ODL#-!Bh!XF<6umusm^4m{pmArk5u4}mMymmS&CA^zk-HlrZ!qlxRk(q@F``4ZjU z(YS`zD=zbeNuU#a=pbD>BBG!AOq$(FP19E|Px+PD=H5puQ`DpZ;1i@W(kH&2M zEa=vk+5BS&b9cUC4m3#-0R4E25$;s+MG5q z#YKW7$1JUe(0Fik(q2-YiGtx{_AH)%vp`JZ@1K(TAlPbNKL2DB=41b6!CZ+VP}?xC z*?a*zIr3_QGJVpZ*kO@<&#)szXdVjxSs8?W6irzD{NW6nX}8vIZzu-pHSw2OCxX!7 z$OLiaf;=b@m@IO!i-4P4C8d9-av-MaK;~VgR4^bf==b4$?t7GSeP*Tylw`HC{=mS3b9H}hLO3D&py3f z-!cL+BUV=QljA^jtfSZ0HWK$gh$|gqN(U#=*_?H^Qeo(Jv^UpU3LMO8SrNlL>|(x* z5W|2hcr5YgY^tU=igVtPs{0}V1`Z`0opskjYqy0MFV^ORPg32@_<t#hCN16qRfIh za8L5jRUWLKGO%ZO zAE_AoJGEyVA8{i-D4nnWm;uN32HU|(jS^Gc6hCIOU9n zOuBF$e`){Dm)Iv;xx2Jti8bxN-fE)Xl<2`D`jUuV4T8T;aC!-zBfSdhau*5;=Nw>YT}ehRyJ6_s5r`kd!NgCn$H#52BWve6;YQ- z|94;AKRn#eWJ^X;cRzb&MPz|vv+QsrzJFUp*NUj;B_R=7h){C44Z1NFA?H_4gQx!7 zdXp-2(E2g&*0#48Qsnn1W?@~{=DH~#I-mnHW6S$5#%x1FBQ~+&YZ0Ir=yS>;G67nW=Jv*C&Nof@v zmwR|GFA)1PUj8+kp=N>9@YPe?Z*t(`x4c>%+)r9d7gi5ZDS*V~PqW8=mcx`+m%%Yo zEl@5R-x%@F0F&PC?5o;T7^HWevMMP9U4}b^axMo=dL+oL7 zZBjWP&u*UOEKm+w+xh3Zc%o7DQ@*#l7s}!Lu6KvqMC-wxMP1BVJQpsfpW7yRo(81F z56Nn&q3}T5WRsImCa^!%c$AWk_4mP_Zoc7#aCP>%8fOz7u8vNBxvyIe6Q`|z6;~vI z9M7NdY+)JHll3m^{aQRU#Ha4t>Wq0$6(>uNuY@2=Evac0%wyT69~UWu=P1X2qq}cU zVZHZsi^(|Fxo#hPE}X$11s__rtQ*5VRJ*SY!SUD!y*avr^kxYAIS-ZQC~v3(@%2o1 z1#!;POE@C(zGpUM=ceDMJfTB*NWt75_6#_Asfw=@@B4j!l;7V_DTW85-~M>NEQB?M zO+^woXDF^LTBIkH37+GPK4%`&!MSMWQwYB}`nO+ODDnx;dltDLe4Y^tY_Of6Cjb%`Yq6c))#GRy!m)6{I4 zGsRH+yK39!QVT@69v=MuV;($lexkpnByzxRsCVE)@{{``vFXF)>g-t=jPB3PUG z&U?Fn0<2e`DY!h&f(^IW=R-!T;koC^Mp3M%4AsoYDz%q^+M?>=u8CSWM)x%?k)?q4 zzmNwvN-{uUTx%X-eJ^R?5-rjg-{HANmCtRC0QO@iROI86Ak=0XkAY?u@EkC7_^@0I zc8nHc8#T+JOQNp#IrafvVYrm#P@#fWx@C**hNMH2`wvqC_INarebYS$`|@9(v8{Fp z^FsUWH*J(&!t?)hMV}kK{}+5bao1{ygnHDk{BAMMg+WDI-4JKoBdOb~N`IIQ<++K) zY4^)vEU~w0{&W?@kQC#VB~l^b>8?c90V=qPFE&N&ECfNhJ)G06MOep*^eeW@1%o*+ zHu3%n__?~y?--*I+9GFK(ok`fp zK?fzIe!z2*3eTT=n)O*&!|k2TM>bzBgHP3kc6Spg@YhoHn_DF2n;c@*dLD`Oyw`*A z(*EB6^;Q%8rbG`O(U(N@Y7qQ&g40Xz90~3h!G|F@0z}@F$R!c}b;9RJ_+f~akY zGy?zs^;?`KC#}QKn~KBkL4H0+$@Y*r_g@PXy;qc?lNgD5yswY#Eja=IC@b|e$w(yq z@P*Y_Am)c}D#{GYw1Qm>bxA_MV$iv=wfHGW#Cz_}tE`@psQ;s9=E2poXx1-px}GTj zjIEMhh-XJ3y^=AM6B&!*lP9*w$IQn78L7WG8nq#Y8kMCnQou;C>F^}c6lLuqEEP66<@gMV1Ule}3 zDzNRO8mgL$dtjy%1n(Z4x>xIBhhAMe#Taob9DOi0_=YvEzX5^B#CZi|8Z^Ih4MI#lvjif+Vd-Sb){r8q~FI3Je zIJIX!9$i_}ZR|9k(dtOnP#5EHMU4-79Jm#O5L~h^Ugp*x{dkE27a#sd&~FTsChTL>DoHmXYq4n~5< zb8T)=NXTPDce8-6H(HS5Vmx<KH=k$^RP%~z8F0iFHOgKOwqbRF z8`@5T*B=KVGqR`B_wyDoMv~W@6tqKgjePY_w*;bl^+IeyBa!IgXt4+FcoItXd$jWO zs2l27ugz2HAqm>E`m_^=PlJCyO^MVK1TLNZ?19{#NUtp5Zu2ou(7Y^u@~%@TGH2C0 zviWZS5^UQDo3Kx7Cen=Ku$>-SXYl^VZ&?=<^Y*skI690N1aI3`ULv7!$5&hLdqtvi z8jV8=UrwO5W4z{X7M;*=Z&kJMj%Z}9q&m|l>xpD$chp8Lha!iZ>I~J-LFjTNdFOG= z6^ZToM*RXL;F4I+V=)(sf)CmjejM;d-@e;Ry}jasl1s%~?PC>CL{|#qpS48vPCrwo z{o)y9PyK9C9C#WcpLHoGZcId>6wi)^fh3g1BNtZn))RHMD!ndwkH@A1O^{+4 zJ?Lsd0y^NGbnDl9G8(*cqm$=%JVFkBM}K3#f}6Jj&5$t(89tyg#ib=8!(YzEa|Srq zN}*k^UgrtBSWhwi5yza`o8o8x-gQR#R|gH+TSVcZp_nUmj*J=&I3!h>ZP0-UWkDeXO5*?THzj)Th`uDESA*cM6P#Xx=SXnB2tEwK5g_uWL@tT&uM<8;!Vg2-O$mLS z&|!#qop`UmVOQJb6c7f+=Teo@#z|T20mL}X2E&rkDS-7k}m~;Pdy@t7{jN1dkt#Ge=yR@?J+yBYO zOC4kRS`>t4g=ycjdNY9KiI8z(TMh)o{7m0|FbVe$O5RC`CBc@?Yeo_hWEfd_zMn~o z22^fcL%r{bz^T|;@MbUr1|K_}uBs`71AMio8?(bfz3?@=hc+4WXx7u0DlrGmL@}~Y zJrj;|(qk^XPK1QHEwB2=V_{#~FU#lj6zrp8*zai<4kz~1amL!Q34{(rQR--MaK>-xap!NmFVxJ3i(*c6T3=iG+p;Kl;xFgcDIbIRa#;a=LMiam zkf-HN2o>%+`&gYaOb0pBj*ZXXgu>^s#t+@hQ@0$SiiFWHe}B70z^mX#X;3SDNi(q8 z3N6s8p6Goz3;QTH8IrEV0H@fZ-f!Lv5PEvPwthF}y<2OJJ=+%uobLCQFR*37d!?zg zSmy$me_6h{@)q`qvsW`*?JL0C54U}}j#+S-c6xWuB@#?-v{tyFNQ1xfiAGhgqoGQ4 zZet<#w@3KN&)$n6L!JC{KD(+E2vwe7{l(@1G?9M0sElY>_trylS0)YE!}fJQZ4f{< zm)0(h=O=@3l#=a~k~8qXW3XLu@j<3H!oS6qSb}opuMIPdR4705^FeNm4~iZC`koQ% zAExdDfli`+;CVb>gSRIOvLuJuw@)Sj^Qic(c(_cg}&d z_$-hc{bO99pA4sQy0NVP1r}{YPh0B}wrh)x`Be8}q!Dhkj*Mdu71fN7DDJ4MFhM z_E~*EOc?Gf?~qbJ zzh`(dtUuR(A!9HTD7KrQSMHC8<<~8i$RH0?hd+jsCv#!@-CO5|RfABdb^UG4Td^>^ zN0WS%kqjU8@?;ijW8nAGkG$KXJ+aSXPR*w;1A@k-9XJNVz>RX68AVEZ!GgxyjPsvBs0;2If9CM4y`WV zX)r5X3n$+%}m;H=@1dx>B*$3L_K>sLf?HPLTM^xzSF zNkp#(!Cxmhy#&vZ;C>N&7=j}}jO7S=8+m|~a`C290Xp9sl4B9fZE zYLc=dlD?r4Q4!uDUZD{*`u}^}&^suSPCg##?;S=bf0j~EQ<}GgLM2lbLV7Ih9fd&R8KaDh2j_2^^4o`-Jv7D(42ja2KPw&b=h)3NE)(uIqvR+ zk|(ai{2yY#VUT)hw`2rPKJU{$P!NJ`uVXLH*wOL)pa+A`+zr&D{@}?^ovQpDhIK1=KRny%kBpG9L^Z+M9j;?T_ZmhF+(obdY_b^7%SF28!cr zbeK83a9h0an#W^b6c-mw#;XNFoB3lucb`AZICIOQL=PR~6d=Z9yr7}Z1-Cgis zb#Qj&1y_7kR!)6)hJx+fA|pkoJ#i#3?N#erFT~igPJ1QOuvSEYaX!fgs-FdqTx<4% z&iml(GH(jxLR)q>3)+I`drc#Cp;>#1ckY z{k~AKGJR=qp4AVJFE`}5jQAkFW>Cz0(GR}|9QU;NIbvecdrs|+7hW2>d7ODe!__5Y z=dp4h+&S~bi?P-c>o^YCuW0ec^^8+5Lru&u{yg!Qdea`T+TJ@dk>>)}uqhSprJ5r1dQ|Ai5IW348jakpS;KRHclV|T zGT>i*I?(>T0tUWs=$hu;i4EHNFZFV)A;IVN_?@&a4sY9Q++1b{&O0o|GjG>I`T$pc zo}UrX)Yg7p=g04+fiGi53Jx|{crwLnWOMA12tYIACw)qEwtu_Ed(#g z)z^8}h`}<#M?&N5^+iM6xU;3+FE*ONDJVuduqV}NjfYU(P5eyTplgzF@NYkwAZRPbvP>SA6V6`_6Y9`ADwbRk4 zWh~7|Jx}C*i%N+X62~7g3VYY@V7%DGy}tcFI;s^iCWK=Bpw6{r|3;+%biT;pE6}t@ zr|?R4yKRAJP-SY4bJ4~&dAZ4Eg&-ueRcrJa1c9}9OOY9uAKrFY{(Z^k3sY{Jfdbb6 zaML)MonJ>|DPUmt)X>4?-;^=nYN1>aku;6%+(lh7)uBw6k z?E(xO;POu@+hcw1cYjdJtWvd@NM!)L_Mtfl(U2dywa1>U`z4P-)i-2C#%JUT^p%C{Fonb-nke}Qo*iz?@hgYPXu4ppgQesMt^mK&RTI&>%JQ|qQ`o0P;(h%^>((wo*8fSy= z@&Dc)2Colq53MP&L3G>4PM$bAWM^)5J@`z)+CJ?TC!W11Hod^&^g9sqqS|q((vjG7 zfYB4K=8vGLefyVf2Aqb#EMz#A%Z zMQpYyehtPU|8c1p6E|R!?%}uV7?`jL(SLF*5_KmOe+S!9!OrBr_It7q`tN>xU#aMa z(&%*)iO+0s$o)iGb2S|{z6HrSxpuH94U*ch-vd2z8D=?ibd1mgk`#Ob;IsLNV zhMVs)YemtJ_(gAP*grp*_CGMbSLuw~VL7(WQgJBz`t-^EtRUzbm?;V*hr;M_DBBxn z8jLHghvRI>|M#uX8CsYqap+WiWsbi-;wAn?@u^y)!f@Nt&F29B#{2fBg1W@p1A^@n z7wz!YzGXB>TnzKiwkcN9bdYp(to6heK)x>K=|g=Tf~6__u#mPUK@?h_xq9CZ=ccXq z=O!_rFX(5#CxnUs1-Ep8bKZ#A?AGfSX~GYOW4Z=i8HBFB~w;m%lsETn0ldJj12@#za+0 zQZ1XB7bK<=P1y!5FduK}wpGUkd_8;Y21XpPczvzkP4fBYE#D{Pt9fAXZPe%IH%$>U zaiZtJ14F``v-_FFeF{>9jO+u+`(X3Yu_yC^-te%xBRwQX#SFV+@AFA7tX5LxIXEGK z0Abcw=6f7KFBS_Dmb4&iHQQ8fo$Fx_00qb%!*j^9|(@xTLbcgr65@m7ua7q@!n1`9h>cK-|DoHQd24J)cN zD47w(wdXwfa|G~(m%Yetl@D>Ud{WxvTp%&ErQ`OE%Wgz@r=fdFtuhKDx^@L6nxm~z zYu%r2D+CZ(t4u^Rh?_)W0VPkDIKen9_mh1a@r2)R%=(}NEPBc;N`f{JQrDxlyU(nHQyjp4{sIIq1z2T#tu zAU?maN7rPbV{L&0wu{$0`nnq8f!4U;9bFwvUq~KVU*d?|YxiaTMAMM8?Qea}b5{rr z&Rx5w5rkC13$mGyJyHME*Vpj63o1jjb7pz0v3R#*q>udkV_EV{tB=@%Qr~et>X#}Z zL~XwBX`e%!&FuUBw{9=;^;`F>yk`Ruu20q_SA8I2lBFl_Z;bAfKGFsYrkL7rk?T*8 z10>S*11}!;!YKi_Z?y2)w~56{m?ZtV7hd+Pmz z3fFxQ7F)bi%F-97*IfDJIPMR}bk*k0dKYY?^W8W`>bS*N*20ffmdGpndTsMFQm;J& zZ;4m?!!s#meBR6ll>ZLA5|X0fO@Mkforj8GlVj0190BTBQ^Mb7Iv(HuyeLMVXUl$i zS*MGPw9ol_M8NRr>l;5!NS)f8w;@D15Uh5Vp;1!4;Afwj=-CnmV>aWqiFQXAaj&#K zMYo5WUQ4k0k#PJoNiL$SvOv7+%wxTL26o2GzHtBHhkZ+jO6c7*ygNGR&^ogZt-J%$ zbd6BBwUt~~Ol9El9PQ16OgfliyR52ILXlH*d5ZOHAT;S7pDMwhI(OG9w)(d@~S+56yNcG>3K!$gdqe>NxDuMJhk0p4QsK%{bBo0Deq!}(hd z7K5f9FmcF_Kke&>2YppJ7vy8$(>ds_btD1}|7kj16%9h+!(>UGS{L+Z{61*oCj(kD zSK43IAjFj%`nrxc0Oh_b))Z{_!OYIrDXTVyqcUbiu%JdD7Nu&HvS`r|`Rcjxwp|>i z6dJf`_k$3+?)f9y#V~LUHV%qvMBt#`(Fmf%9gfc&MEuesv68Z=P?H^ui$3wA+%kc9 z;!q<~txnDvO8lnl5RNN1Z|>`H3y0r{v-#y)BJlI2bt?yX9(W~c7-jzof;LzDcP}Vsa78gI8;i*f zZ`iz4v|&s0LDE*O5)CT~3i8`2Z3%uz*;3aRe#HSRU#vpN1u6^@cdcStK}Gla>*D+F zdEj1eMoQWP3J6IqZI6)vlmyKEI3*qi7S*7$HwJ?cL=W(MOzLxArEH_kwoq(WkEwcV z8jSb)>Ca<4={QwgUD!G7i?9J+zMHfV1bd8e{YcXM}Mpd+hUnJvLArw=%Oc@P8PZ`l7rDI$Rc7@ z#Q+y`e(S0JU@(t12{{Db7J`S``{@zt+(M|E!$c`4T)(+fo~hhyNw zJwcdo7wu7(560}IY93HvY|IaK5eHKl%`Y(5&IyPsNigz7^0$gb79i;Peo#=na3fb{tZECl7GAGV5g z484kTK~}qe5!Vhoy#Cp))*2H4MqN8~vdIOaJ9kmPuGd52Hr?a$je8-o+dAVv4)Q!d zUcNA8>VVe3&I04@z?T>I4{xe-$IVw=OIHUZiQDTP54S4X5@RvRSCoUL@wuK(`SF8_ z^E6hX|EW9j*X{aziynlvW!;e`I$?Ma%G>cZ&liK+?%r(^am10JE!k51H00-YwOg!= zfWO?)H;)nn(3`tC?>tum%DU6&r(Xo)H2a_6zcoR)6l>i5T0aO+;*6SZjQFA5eB+sk z9YIL>SEm&$Vt{9n3crd=ONl_~>ApLUDA=D9nBC~hz;+xxRTLbKy12)}o#cE(@01GT zV)4bw{cN^!k>vGjZqxpeGaUUYFE?y?7>vAg6|Nt6Bhkq^aBD!hjCfM_@BWv51FZHg z4-)K)#2wvl-RxnZu+Dj9Umxm^i`Bt=c29y(u;OCr{aP!N19nt)Fd>o`}Fp z6-l<<1C;;e9?O1uS*Oo*lplX(pNL~lJwl&V6p@**KABg;8ZRxjM3?+@1848)#cCca zcutj#dGA(%kMO#~yhojor5*c{sm>5}QB~oh)>PPR^={jL$r`WnMpC|wBx2$mhtLUy zBy<-D7yRh*fZX$rSHXU+*wZ?HHt4)9!sH4Ix4f~05x=>iZh#9WUD-ZQYkJ^y?sd_! zX&P$BKJ}{~@CI-FzM@y%4p2H<_)YUs5(;8cG}ByDvB5vy^;g9noT4l)ZpwB>xoFE% zo)kNr9$tG|D_8~|@88bCkeuUn*e0hG1K{1B>Gk17AWBM757H`Q&Wy^xI)$te! z{m`%P7lYBo9Rc#WR;c~@dp3Wn}PjQURvd-B9X z(cy46r8*9V@A-p1|BT1WC;op5{!7HY{l9JtKa0ZYM=TGNUnHX8yv}{;d)6>_QFkot z*+|%=Uy};Hrb38mH~)=R-bTnAT2+}Z?oF(^Bjgeyg$5?7Ig3r z%1y>=5bS2RuX1MTV9(kWTXN-T6_`d0m&^2`y> zU%T2y1dw{T{dHPaEQNetZvK$<@tAt+M)UgMiq?P^X#>8lFg&#};E|duRHGMjsg=HP z-f$vS@Pq+aL$f@8Uh#(2o(FEUktCE`RqT=eFBySLz0Bony>a!4`^M{@Tk+-VZGOLW z8$4nz=`y?GfrOyz%2FY~39D$T8hPC;(Ffy9j(9@P^45`1M^hqvMs0>i+73g9xz80H z)rRci9AD-D1r?cpj_CE1KH9Bd{qGuMJQ2zs%nGL95>sdd^*#+;mSwgrKY^`bia8Z$ zsF2^G&5^mD)T2F7`kRYrc%(Tu!1CUQ%%N5uk(-Z)j-|)hkGtY9!NKvI@zN7FTf@0e z$612wv&;)Inhm(UDt?_hW`!my_a3HZTPz--o{>CZf;sVY_JftC5a|4O&O^Zz8TW@X zm9m_0+GZbzMXCwT3FKBkTAhdk4RIrxYX|RX9NWNVQ4NH(k74V_}!dVulYzTh_VVu_O5Qj{cZ`za68KJkn(*`a~43;U>{6 zOQI$~sr#C*As)`mgjcF0;AxVY>s(ztgpTqii9d_MpDA!`4vRzbNc88L_E^lQloVW3 zj)#(@)sC~z60lkGT05siB91q|F)Bz)goY^fKpuI2UoH+w3~x*V-Twra^;`_3HT_?R zQsOa`5;Vgdv=8r@!dDQRlA&N~_Li;|hm^SLUt3!f3AvYPHrm${&^GvOcIi?)%8mQq z%8MsJP4Mxd7}rFs+Vr00E)<7N;xQlG9pj)@S7LmZ8jI2xjbZhJv2fnK{oT`!1Z4et zt^NFH9C32RyuMT*`98j-S{DDIBRJbph>9W>j zcmy0gA%7+jD?GOTWO@{gn7}gTO}nW7%cqxfk7Yl-tkXKzOAUFh#bIP6U&GGL>S+4# zU-v8BU?f~0xERe7fTU~Z_;>Dh#(C+ZyY`=r1gGkPYn3n+_df-OQr^*_y4^p#_DbbEV zd8m<~{Jlt&%tq(l;njv>-Ub_m%0Pr3^u_Pt4IF6%*rc4cHwwiE-STf+yM6*nIzc(|0(9`eIytz6={S~g7QAvNo;LIJ)dmScNd{ggyWmbdG zD4f66wpyNWz4BTqlS7EuIy_>fGwe$+G^#u9*;0u58IQ(r%?Jov6!)Ip7>OF&uSZUi zInRlzrnL^INPkqW9Pcqh`pruLLb2}|Nd3Z5Xsz#o_jOy%>hyxJZ~M1!c2z2F$aAE% zu5iRP%T1f-`(421C9E?xtxlxs}Xtv)F4oiHRUGrJ$P2m}!> zKmRGNiD5v{r#>Y`%n<^$2dDw%G<@3NYQMgdfhBvI`;`njBw2T5CQrE#mu8qnax8U` zUix8&=!sCmY3z>C(^s~bVQUX9Z1aSzWQJG!q5u(a{q@tBcf5qR**V(%r(9tF@7E@e z1UtNZ8t0+mM1$yAd0sEl=XJ=0-t|33Cr;UXobuu^#3toVwhZAgqRzOBPj5p2k<=kq zJ+5y@@YHf`h&`G_{I1*c@POz+!kku9>3=espavTJ*`)18tT|onoN;0=VPHGxaOH*_ z@?zQ+9>q8iHnw7`Rug`N^|fDaCm&IW&r^fFeo4-Rh0DzDe;qX9_b=O=e|>zB7lHi7u| zcc1vn5gPHR=K0B2Zn4BJ_x4`lZ{fsiZHuHK16^WQzvJvxGd-d|T&vH0(2>x%6eOS8 zVu!O56g@=`OK|ve@0oqbLA0ms?PlL$NX%^OO}&3s59jM%#Ee}GM7?O>$+0aCsBANP zz58k;Y$vbz4`n-H|KGJTzha!=%5!Lo_y;9o)PE%MMV}F|Y5eDG(4lph@uBKY_tOcr z^GiX82Ez#t`E3SjmmG+>=u)YRk#gAfQfA^z4h1>Yqts+;d!lRe-M>TCQiN8WzM@#Y z4mu1gYuEhtL|$RT&XL>l$o?Q*>_hcMj`Sx9PWu$%;$eIFob~?1y6rVzM|2~w*5tTV zHaS1;5vjX-Ks^Mft>=3Z10(Rf*)%w2hZjs!{Dnq*!^vFBIVyauJy!Ql{vb0ItYlvI zVk#pHLpLA%yP?j2`C`m^=_dhr&sKb9;F=Q-ohs-LiA;dSGwCKKnPA9EIbP;Tar|G8 zxSUTf=N`*`dReCz-X=D5Mn}MmC05D)tv`sx>+3#{_sNKXU!X#THQt)7vM#pqM<3^+ zhx`pgG&|h2_WR`vHcgi=?s|?G_haH&^+q2eeSe?Z9}dKM`wN4O>^|r?;UYOsaYNap zw#j0I9Rx11TCDB}Me=JV&+g}>pN{#u^eTePVfPo8a9s^Vbl$0T?W)1}v#le$y@v{G zrmlnDN`d$-T(|9aO9*x;q{xTm@S>S>1Ltrj1u`#+c6mfQO^Y0cgVY8;!r?kz!rNv6*bEgjGlAaHsivGpn)4Mb(*yIq^H&;QHI6`}4J7tiXl z|EUQ-lbPblqC_ z*I3pMRu>PS-JWHEv3(UWbJjHciJUsVx-1kXl`9|DZ6wdRBr%2}Isd)vVhNHfiblJF zp2b{M3RVnwaRjk4KvA(tYaI#126n2}yOm*>4T{%H5)4J`+i&km_r{>csPwx$*|((G z44e-9>x0sZ#j{cIerSuOv+VmB2)EkC2ceU0FpB+R7U@re@cQ4z8f5=hXk~rD>9sx( zzs+_hnJWtf7CPOE48fDb5$tkg->_)6u;{@O081m~QzxoIAhwrnXel)u%tZ^FA6%)> zYT=6Ql_GnVTAt@^prG~f;+)4lDu!Hcq;AY^66YcqMCHShfVCqgY4DLDiD6LJyA zF}h6jxyRtL^A>jV`w94SC#w6<7YZcKu!Rc;lRZ&TcTTid08YI4XR)Q2j%S{JwV!tf zp;_y1apZgi9!jazdL9l(Rodivo^R2(DcfNerWJyBZN=};^wGfLd^oCZBn;+m)e9EW z;mEqNlc=(ALSy%|jJ}OEq*yPq?F#b;Gizv7Q=A*BB-io!mPR1t<8?bB%Lt6}tFHCq zh()%fO|W%z7^GXB0}55c(0Kb&t^_3(f^QlkmNMc>cD z@3>-($A{9Z_B1pueXMCF^S`~KpNxIJ2GuDM8>>VXDbaNCa`=0%kdqIZ|Yr4&Y73Szk>U~tuL2;~=)1^L_F7#J3RmV`T+1C%^&+t={+TUyD}5W@!tVyz zkGaHAH?mjq9qyC5z0>&CiY{tydn++|$o1*NJ>eh0KY!F1`wf&a|x zFrjh!pzw#wM2_Tm--?f3I5ZyLxbM3Q^7|O;cv&c@eyi*xwS%08;>$~Q`W><3%!E2WLD&FXroACB@7vDG)o>&B5j4d{y-PR@Te`2Sy9=Zs zGE;yenGz4Pk(`ugZ_My>PW6DiWgrrhkMYvC_+qLj;Hd0hbKGT5@etdr%?yrm#zVqcj%Oy-A8&LoH*}Wf*Av%9wTluOVh6~?Jz1otDlFya;|VcxjmvFj*62)iqjeW-q5-HgW;0qj{7S9L;uw|;BLFieT%*@yiN?d z%6lRb$4*R%1-pj9@ObhLmkEDxNS~>+A$3fCdi5phoe*3Um-6^`(;FivbDw#32OuL% zOLuEdD2UJF!tbKVc}(#p-{e#P+8MJZ3aMoOw|%(f&-*|`CeE*5%CJX&VOZeFJVCGz z%HwODthmJ5sJ?Vf>`IuqcJZ-5q9&~ncUn^7%+y7-53Fo zwzRa7?eu`)y(dfAb7Vh0I>*&DnfK zl3!R5x?UgYjROhe(LTJvm`)NcR6p&HGKxv^)sqhRB5^kEzflInwfjr;BFP+Ag0*s}P%S%5hJUx^%_(%AY+S$y`yQ z;D($BnO}={`%LngqWaWsTT34%a9s!yrH`v2{rRj;cZvg=6b!>wNU5TzsQxj_8%IpP zRU%5~N#0BSo@Uj32WV907QUpbpvdpb#V?Y=sLS-4<@lhE+iWdGTs01e*|+c3n;CTk zIT*`!7Te-S?d{w*iSU?=jc;<|6>xk8UUu&g%K8H29RoD9c( zkUPb2sgUJg520MyB0X`XTvTu|w^n zXna{;k*!MdJKr21Tz;^|7n^tS%k+u+;@_;>1l^p1x3TlF>kWMHTGdi)t)L>L`3mPP zE}tQ?z3gv^$Gf1pFt*<2m^T!BSfj^q+`>&X+uK5^P>fYI3L069(a_5StJ z{;f&&KV?GI%9p*NykmAZ)8R1Olk>8PZ;8XJixXU*BBHTTcYD&=zrpZ)cZYV3ynjk7 zt_J71gko|2lNGT(1e~^d4-brcfyp~_{UMSIxw_4r&FzJ99~*Y@uQYfl1#k=Xy5h)yG*$ndF=3x&KpXoRfxR(qUFz&nc%VF_xQXtA z(Rs12D{|<_504$Kwemq;gYv%`bvs1dlQ3@gokwo64F?*D2UL9umE6 z+6G0*TIT!r*~4L7dFqob>xnhjf4nXtd6Z8Abp`Q;AyDSj_Bj*ni?P(U;LQ{}O5^cHVr)7JSB>M~;&{PtJ}x|J(oRKvqfP!kcZzguLY8hn!dS zkZ@3+Cp17AE8W_8b-oF}`KIJ4tMm`r8nQQj7M?RDc;{ChdUfB8IJy`A;#Y*A!LnG7 z=}r(_CbbTAjnMGzYND+?neRnf^dE68q{B8_ro8L753a^}y{U6_!x4`PzN^Pbe>2vw zFhz03WI@1CeUKx>rflRhUpnH)kmk^?^4$o2u>X#)jU7@t3|%%QsS@MS$5I3XT!;k* zm;LKvSF-OI-hQ{+5*t3>HY-{1Kr20e!1J0OBA29Iug|3;I%AMA^~3|JH2WzDZ*tyt zOLK2GHzZWlN@n6@JTU6%{a~KtJe-C4$HZ5;LEvNQ-IhxfSXU38X!UUcON-H41%Yo( zr$RJ0nd@rdT~q4AgAbet$uFui5)^%89&LIl=1qQXt$wEULTW^Gx10OByuHNsluEUR zBtt}Ngx2)FFoK}&`BGVCS46*~em_WZ5MSa`2ITvdh_gDH0}J9#;JSDsj5XGlm=&B` z5wYKz_^OueEa|CB4C?o3sLarb#Vc(V)v=*Oa)Zx92Wbl7rgHc{pB{bUivAS~mDd`? zx)o_gX)(a}0*mJ|H}(+bW44Ev$}I?{?Du+CuUio}3m@EwG;ttGwSQOMyJJtV)2cS^ z(&Z;Ovz~W4ym7-152mcq2vs7l&FlD3mN%is^UkCVOiT+lnAr?&zicw7(g|hId;)@FA@|+~)vlK{H$+;o zwcJy}AD4#{h29%Qn%!zc5Dl7X!QydM|+xALAXMj5Rl<6{hT8`j6{JL!ev z`s$Z+2Jt_BdYQ{x<~^2s#N~W?Irmuh)5|)|+PySzI+*?abAd>oh2cGVr_y|yYF zb?o49qS@Pp?uEZ)Bl|1Lb)opAUbgUz1JYkD%~A@yv4!guOSg|PN;dv(7u#YDkDMjT z@t@?Jc9L(HYNL9SqF};x6{rQ>!4^~t&gVpZ!eI#Ec`BW!t$k-V(LDbpLX(SKfDd~5#QwK_qr{URZ z3*QA#^=t3#k@d!t`MA3&%J2C52=QCt<6YLy5p#W%6pjvo+b*oMrhqWd!-;(sKzCrr6o5{!I21$^E|M<&mO0Bg|BHPbIHCY8=+A z{t{`0*<-<~lizh=$V7R}!EA@#&W55GaZB)CcNeOhvxl;k;Z?yn2i!Q)zv;y%2NZ~# zUs=l3fyrc(QLjAt_aa0YZr^rdUpSL#<5p`3_dXg^B>Um0gK;l^TsA?!bF1``R~B%w z^~`(qTM6&0@{GGF0IlaivTdj>V*}J$C zudWqr?&~l@1?&0IwF5ihRU;j*wj@ueAC(rm@L8N#Xsq3Id|U)G{I*qLn`Mbozu2M| z*&29WzTZRbv@JSo*abdbRl_mEf9h^dqQtAQM|>EOB;3AxAARJ)L{xZn*Y7-|hOA!a zS1vz(YIj>c&~do13)D|HM;}k^B<3#dcR6jVLD+FsCq9VzsU64`^5U$ZDEPwUc?Z=5 z!R)$W+;CA73wP%01~%xxCSvPo$43G9ZtvHVF6SW{H7?%>`lW#r&to+CH(KFOj*#E( zhq{nqH4Eo(bb+vu=&raEM#zd!cwRY`>tCvZqY{3_ zEdqOp{ZW(JmO7b4$r;;{3v*ns-90uLr>P2Bs_i!s@^d>UzUqkn*PU1p2(#GKC<7HK z)1#jV@_IXR{?-_q1-50I9BLx~pNpRi6AMg1<0^O5OFv9J__h#QYOF*QyuQDUMsl1_ zgYNxe9k9o%zMc1-zBuAr{2~{1)CEt%64=(H8zaR1+SH8!XZWzNoGTR7g5kWm+pZBO zgbp9vC_!?beLjv;DlB9^vVyJQ+JH42*&|m!Ca<49W|hCvTd0^mvf4?5)Pt@2-!~m7 z(f!|^%Q8Q`%;hcf9?L!Aaz4GBdo26uWu4|%XX4xWJ{Ajw-hE~4-f-E;9Dlnb47T)D z@AaL+F`u|J-$U{=%Mnm$aegWlL-uCE z{hJjFqH+CLeMi1(446N>j8Tmsx%Hi<$0xr>Vr(U+{=|<6e7r8PHTu6a4D)czFRe|4 zXL~vCr7n9sIqAy0(IE^<(O%thE)0BB?j2@Nw1ihs_byTAXzV{N=-Qs1iYgw)lwnQ` zR#}I)UZ`duYIN(O51IekiRl>ivg@JijT|+$GYo@VdIg)w`RB)qxR{wxGT-SRI$d!! z4zsSSCnuS_kyN}ruayx6sXaf{c+^us45n+X-p_!}jokzXOBfz6#L4Zr5&`0PzGnGz zE9^bw?Dvr?9MP3+E6m7w`)tT=|9keHP~2v_FaJs?l1d%StY;%3r#hX1)uGrXHmXkK#trQd4dfNQI+%zWb`_qh(QyYEYR`j_0IC+F{U&~ z2|aLg`Li4CPldam{xc;GD7F87{f6YcD>^Egd-QNCo6}Bxmmv`?H0UuiYmIvcC!8u> zLr~()D>vJ@@ zk9M#$t&HzH13#L>QU#OE$K_O%(-#QqU2+pE*j=+QVaAaa`I?dn*V zZ@vx3!~^E)=G#$Vir#a57Gz#?r1i)<{V24vM#zZ zr*S#ST?TxX^ePC0oKI%4`ZIFRC!lyV#Eb@tO-|-mqbs6BboMur}7eW3FB zMqNp)9Y(IOD*pK7ikggd8Jmk;aDbjyI9|$t-gTAGrl;Ppy+c#HY~g_22~BUC_PF7h zzUdjqXdCRxI#kyN0O;55mux%Xf|)hY@MR#!1g^8WpMJ{P zqT^t#Llc>2L|P8#IFmeUg+pC-qYcTmIhGw3e&+;XW)2?<4Rh!XU68EWX@#1S4l^Z1 zW+IwRo{IC7+XfnIfYsKCH7y5X;;kNcanM zhjd=sMp%0ouv-P25Z{k}jFxtFAh>t)zPr)s0~5X`<_l9)*wM~j*;nWaVV8>w31mOJ z>xk&^7X^2;v#sRyXm!C3KjZz+X6!I|NIFud)D7(uYK@CJ7I@{fTf%IUIX+f(NvMdE z_jyMnkJDOVtVsAWq;c5*Bb(VwT)Sln&&OJOKhkW7j)&3Zy(euz_glHOut^v7of`x1 z8QNn~BjEKe(&KnBZy-u$o$Jhx6lH z@?$4V$vv?CSASny68*`JuZkhR+w}>a6S`LCD5k59|qk zNB=#+k39(C-PvWYS2z;a%L{B1Y__56Gt(OLRtZ8-K~snEY`m%Z<2$`o8}|?pz6Y*_W~Xx70SQjxNLCfU@m>SsmbTBT3*iTe zqQAjz3bxw_pC0qLEZ!eY^@oPz|0dZXN%3QBXYe|5ANiH4kckLkGk3G{?!z6#@MNrM zPOCN^hbE5xx}`)=>-asXf(kghmP3oGe~1{o#<#S!!H5tJ_-JQy+zyBO2QK*V*utqX zV7lmqH`rM&ocroXC420ne--yyA=0DW-gUbh9(3;5U2stgChz-h%GY^g*6@f?@{9*L z$G^m+gfTddM5c{qSwVm~zi*wV31pp9d-t93hTP=N9^Q|6Z*P2gA8~ol zWtpE|=JJ+#kL4b5IiFt6J(m6SvQED-Dz9H4bNdntS&qCRU$oHpkNs ze&|-c%wV}2iqn=0u1-b)AQA$+h4~V3VJPDG!R}b>`ETDR>Ss&*>8<`yOY)DR)5;n9 zy}Zyecc4ARbsLT+i*#qb4uRjMXf@lUI3)aOUWi^I_gx*b)TV}l;FC4zza@hL9&ho3 z19!D?q^V88hwO15YxSx1u?8XBI<6z?p*J>UbY^U93rCC2*{*hyH$L<2zT(AO!Ps(l zqxgbAJUDW{E8R;YxkSmxHRh{G9%rVvWFvy1I4&`ClAYZ1q}*yaTFJoeHl9c6D}Axl zaxt$b!5L~d9iFTu`_V?9&u3)c1Vj61)#}*ubgbGdb;i6d1b>`E{c7_`oZ)N13Q}oe)^rR>tVNN{cygxL)KO2fmi2(oFl>@IwtkJ4Y*;3)` zg^z;0LP8*Y?jI&XC&LFjEWh;Rt#QM#8J-HG&8@GKa)8GL57A$8Zm4^+LDupV zImZp8t7l&(bNVs2ueQO4pro#9J5J66kN(A){$3RU#fLY-=aoZ|HJn>HmQVJfHN@OB zH5fq*j#m1v091-m!Y^;wF+0ogUzR)|2Z8E@zdAa2{u*SAVYKkEFxHd1~?N79WJH z7bxTF^oQ)~Un7!d{c)}T+}}=SfAH=%)9HFZa^?J9cl*}*;mOCxm)UyEkfd<;T62jX zHW@{f9c%PPSjWQpbS)q7XKvA1ZR&%?%G3)x$USr2&{SU=@;+t?*DGSp^v9xm(B+NM zR9vg-U1H641b=@zZ_6F>eJXz*e{vn!CvaD~D)Ad*#-jhMn5q-Jf{WOAxVUO$`45oMTJ3TSa(}>dov$Xjm-3uXva&u9{HZL_b{lD!{(FJFl+zcT z|719F-uU1oTm5;q+djAu@qav>c{r5s`~FEOMRtm^RklcWLN5EBecu^lXBhjwuVoD> z$y$~qDoMqo>?9N_l`J8V-i0XTcYlxL_k8}XWB!;Kb3fO8Ug!BbpQ~i2=z>|Dc}V48 z5jK1%x%>voN$5_#m?;l&hQXSnzMA76a9{T6Qym(_6PR50x;lF9V~l`2pQ=_F4xqdm4+o%V5bAKdtF zq~)2s4@@1I_Uh;M2TqZDvPQlHC^!_ivHH;m9vLx)tGC%gLtsyk4JXRkMe{A}+a)0?hIi<7v@I%&y+b5uJ>UANY|9EpFIwD} zqV$G=b5Fy2QJ(3@fr>FobY7kHQq#J+i~QPOimuJ{S^?GXpSceZw?qSL&zJv&eC?k9 z;&hK|z<#eX730!C2rBWco74&eTBDXsAGEi3Eg4HQOK}4u3s*+FBv;`2oN0VYUJnjm z5b@K{MW3hYud@0;GVHn!CTJnwx&6Fyp6cEp_|&?`%v{n2;>6xE-FV>(Nt^UVEa-jF z6)OFT^F*A8FBvl>#YC{}+|<2{{BfQa#w=3i^`Il_!`e9J39LPI%KP;VpeHb7${P8M zMjU)ztRR1zo3j5MHDTn>j6dQ!*5LtaF%lOVF1drxZsdMNbRXfmKu+sM`?+h^@`uHb z$3m4ZV~X^X0ORIYJE)&p8%ZA%@{p4%)wzOiONA7ZTR7wA-4EEPZMMYvj3B`GHDlRBJz(BddXsX>3N%L92bF4FLFJfwG@T{^ zJQ}~sU6s?of^zcayZo);cgWU-Yqu>hOGm_RW3JZG4G8?v6J$A%8s8 z;BpW)9yWKXjE8{f^>C@lR4HIn_fLkdUX%mY8b0nyv>#!%=1r1~QNlv+&6v47GQ;?G z62ojVw6V?626^^MG0f?3S=gV)`q+c*;hn~PGaY%#f`6mY-#uA_xuY#c2F~xhq1JYh zfE`n8nz}mRjCAv{V)?^Xn4QY8f-hr$o%fV|V9Vx?DIb{{q5f!q4Xb@0Wi}*Y_Lu|L zR;w%ankudGaR(2kz)&=hJ0<{6$?wT!KTlzA`wax+zZe1Yn~|$Zl|~RBaQ9d1e_Uw( zx!}%qk`a@MdTe99VFX2%s&+Q3Zt(Nnok2+^E0B#ltX22|`7b1dtaFF$V3M2_)>dc* zJ6RE11+cFk69& zTL;)x{C~85c7v=1>4R}Z`n6dHwD z4NAUs55H!=IY*(d^=8vM)IFx4;s&V{y9qs9JoPK;zS8#)Cb*&{73P?Yh zI;<(7;sSZssK1)UhQN7wH>K-hUJyg?cu?)8$^SS^INt-$jpKPlJm-S@r*U5%?)Sj= zh`2tD>mK+#ji1xlvB}fh0&(zqK z?(fcr>=M9Cr}EeP1!MS=E@|IbkMxqOJL_vpM(|F8zT}O)IwotcEh66N4oqr0U9mxk zJ2EuYxz2)e`b|TP=C9+RmvSoYL8LugHa_`Wy+RduViuJ5_X1{cX=5$N@bQq{<(LAGyx+dq&1*UE; zpyyPB&(C$M$I)>0mY(sbegv4O2Hwe`4g<48BK$v>f}nUrF0q2j4(di_tg^Kufk4mg zCrlX%cmJ`*4*5iZaom-CQaJEg?^|?_-t0FQy<>$%d#Et1&6!|X(V ztJCA5Fkg3e?nE{bJdfWzXN8Fa7UOF4LERCg<-M=1Uo?dDyvLJE8AzWBO%HUgL%Ag- z^MH?kbm2&aL&&i?cZ_`mjI&<_I1whnL>2nL^fkg&LQ)=J2n3p5HUw z09q<|>S(vZ;YQqvv)7%%fc5Y@Lgc73_~zPq^-Q5$F8A{sxvNsxpsAm%e4!@N*Ur<^ zP#a*}Et{KPtaPyWyW(2)|CF(mZ5nCYr!H8a#O@hsc_OCQp5&b?VTKXrtzvr=Bv4!Ad4ri=6f2mvTq%r1C7I*wRX@nWb2ulu_ zs$jME+?owO1Y%>>xtAvX*kcWt*=AX^4@Pm`dR4Z9h?y*pC(X2?xk&W>lHSEIki5b_ zzPK9-awz0krvTGky>PnSFitt3^=GE>wm$OCbh4ebi^KR7FCK zp9;q;IT#{@lZ8%31b{~JQxb??^};c+XexlV~giOS|rF%^94BNAuhyc?Sox9{*blpAfzjT za&Vg0JKi~aLi4#x%_HlcKsnxAsfzURg1CXrh)Qn&m((_Xq?<}^FlpC}aXgQR=Uj0AH15m8{T}!p5!a`2-2jy1 z6R}11;8{_0aV9MWxD|gy(Pw0U`P>k87enQ!!H4au-y@nwM3Bd{l2SQm73T}R( z$3~KzVBu~}|Gb1XL{&x@C=9uvoc4oB^>Q>fRD7$=CP@R0uT3U+*}(DFOxza8Po?!f zs6}H+0o!5GpE&2( zU1^BsXNv^EV(L%)?Qzg^MfTajSK%# z_P}y8AnwmcGQiaS837M6oVNYVmCEG=iUqGmP2$5LG2~g!)4y&IbosSG{bm3>^j+2n z^a+H>-WwM;@|bbVy5Jx5Wu4_*S*FD1$&XzCI@^#R)U2E__jUJOp0* z9{+JpHW(Cs-XK?61fcz50pPy_9FrbAj?rUi}+?ILL5>zu~nhCUb~qf=bB(F8^)L z8AqHk%V*Vt5(KoLXTMl{r`a7sL=7%|Q2W;5?;IKUULgz|(yV<#mo0$U-eO08+8=xK z>3~Z2elN`9ypzAgd*qrTyy0OxqJVu&3g*=^3BxiHPV+T?(8WRrByTPJ2*F;_>~0ZH zg<#E`w3ZKLP%g0TXgW7d7}UqL`6?60koo)fRnyg2aI(}HqT!B%z-wE^9E=grxyrg; zitg8cDAvCmM017O^S_bm;;GP3X1Aj<9}h3;8)Er?UW5$K;%j9K3BYr^#{O?e9JD^2 z&nlRR0;#5Or(b^2pm^$nO;~R%5OoJ~8ch*jlJU69;j1N>@lKZ9ie@lqTAbPI|2GQx zgKK$ASJ7N|TFXvkD;T~CW);7q3Q9 z6SCnuzt^MVV8wKy`#91CM|8P0=eaY$epi|PoofPoH#?%eFqH%&mxx)?hN-YWS@Q1~ zT@q9WkUd|w=YVwzRo@4X1dtV67-n`4_#f94=jGuXCY{nNNF5BGcE zdqiBH#&r*Tp2pAV7&~c>UZ)f|=vA3*wvzw`l`oAx(M7{8`wvEkxWXW{%D<_8JsR?g zn6$s=#DLDmHJ3tdPiWr|@BgY10=9H#e7BiG;K-2<$t~4nDBQeb=l15ZBm|=Y_|}L=6=Kmo*_Qnf zno}^ZpH=4R!EiMG^Tl&$9{%iK;=}om49DDB9d6(E2D4r>{K->aeOm_OXNnkx=Mxr*NF`A*S(78td@@0mPJ#C5g(BHuUThP_Pd|Kxqe74z3K3pG&z_#@W#6F)y%(idcO6hSBc9S*TOk`Ib(_YIHUfvOf$038`Bdtzg zVtJyewpth4AMVd$Jnn*>`7_e}AsPl15_sALUh>|?@8gUl>N zu90AD-^!ikrG3}~O@FR^MP$s)QQ9`&DF9R5rQ*@zAz~e09y&AbGsS3{S{`ytg<=A! zi{B3YbjRlZu6|8h4aTU$J|{hKCt<@rIx9Ae0I4ByR$rKwi(#*R>I4TiScZ=T8v_4>axXd&Z7BG?;#nzl0Ycw6w)GpEW4YVm z9Zofwm_y=bj?fip(5b%8K09*(tYbjz;~5V)>}2rQOhy-ECjuMy$I8HHa`^7Z6_l?& zUKM&1<;TYO*vE^wwIHg0uNFOrCv4pt`1h`_SI)qOZu^OIu-(LTlpClt_e+WGhLZq-Z#C$WPN1 z-3P8^AD$?fK>5+-4=Rrs$q+}iu)rhb2HU4YecI2&!xx4Y{=%&g_?^@7FzYe#fBb2j zYl`#oa1ImB_rP=GcpeeYx#0e3+?R*@J@7puu218-2R={Z=k&3=wErCtkAp1D=38!v zTV%)l?AH{T3~BrOy3ZdE2ZOq!*BML0p{~=Yeo~$Qx37iP-IoZ2=C2YoI_81!Sv#RC zVj~{5pFR>xSqg_W%BrY>bFRP$87)_l?$7>r@N`fG5sJ9z3>lH$`gors>19b2&>9~4 z@yR9;UWb>x%#I9&f3lW4If4P;`goRo?vy_i9G*RUcheLs#Hh38!jZ2lpZKv0abhf# zyR+~8=MVom9NXpbj)vF%ZI-N4$cJ+3lerYi>xyZg3av6tfT_w&N>=py40hTOWsL`+y>gict3O289=7!OY}R?94e5oc`IN^AvHrgGVp?GAML_!ojmT-bP8_eTT}8@P8brD8h%u zV3cdFTg$H!^am@Lyd>C(a!s-(%yUBa*wmFczc?p7;QmUZbfeA|!sE=ZQ!T1Oylmi` zT%t2}PpszcX+;x=-KSCQq`?YDN`5^$UP%pRa!t&tJ`9+f&>o2og^t+9x#$rYNdjhH z{NpX=jd(^QxUY+Y_5%mSWh4vy z+<`@_tmbEtIxvK^e)E)Z!Djm<_pWmK0xN6pju5pgyn11@J0$4|%etu%&ar+#nUZ#7 z@|_1{nF;*8-y@HmTsCmmw=f4^*>9)XOgyoLW=%I1KL;qteeNS2X#=ZBA}5eUK$t+1 zc+x2V4KboRD}X~o#~+J_ggiKQ&&pkXJBOz9Fg+-QsO=oa0qzU_!T^|D_k z1v_Khgc~L)Ez+1_^{s!)rruy@&<_3k_Pwk>3gJ6s3lDbOpfYi^0V}4-Z~BE4Gu}UitE74YSv`s2mzc0D*ASn)WG~> zTmH18I5fsJG^knX!>vPdJ=N^4kZ64_&xB1GMhk!Q9};o{H%ZxUg}hWu`|sl~U-N9S z`CEsdCSM^#uK6uDmd61QFQruH`#BiQN59GjR)oRc9gk0!>5+e7Fuo?~RS@`2wteA5 zx@zahHL+&IsUqjP7_03KgI6;f9`lf zUJis)x>a1)F1q}$CjjS9<6KjmmxpthaJ~ng8^`mAc+Lg)PvgEk-0y+!5pjJQ*FErg z8b7D$n(sWg-Ajf$yVFM#kCWiHpRbO_67nAx%RC%w3<5S|kr&aUws7);UOeqFSrtNIrn_&ib}Z-zT=An$CxcguWH7}gFLZC>6s5C6JRX`)wJ(PCfKuYV9s|;; z0>W*iH};aD^JJ{14x2k1X(0-KKz?K9w-kbvk%$-lpX|W5Uw-hFtK7Rg7wI_x9;@-_ zdpLWU)Ip2#P6Lax>vYEc(66KKV`^j#30`08EM2^SdOAKy^_L#7Mt>3?c%}!ZM^_7k zZG2#Bi1%Bl7#ZrW`Z4+zx`WvP#v{T--q5_>qw9m71G+KK&XUodYU}FL_sy}fKqVsD zTZ?j@OXCT=KW)jt#Lg}k|Hl)a9(`_Vd4~j%bW5B(#HAiE|L~qKM;Sp$Qyz zDEMc&B@R`|oyD`4oUxd9?qZ2E8sHil!+lYA50$X?ecnt?kRi2jOcZer{FxuT<+YW7n7)_m zS~oOApy4chYhe*>cfZCPHt}&53EvbSoi;ONZH!WW4gv> zpzzr6w(9U9n0No2K2ghoIkcYbFyE^SI{SH&wX@BEIOJaZc7_0*m;4+>=Lom#3E0h)e7unas^GO~6(lyO;lwGiLYWYr5;13z+B?)(0+oLa+n%U5#qRv6%RZ z^g|nw0PMP)zKpt(8g{e3HuML1OSvt)bWbod;sH%`mWfE|W9#>~z9}dG2((*&vML>+Ldo0s#}~3U4^j5s3X@5P5jr&KrA? z<|Y&#PlLHRyy9*-Aqs~RV(IxfdEn@YjYnGq1Bl#FD_``|M4ZT8?OR62F#!p(qlTC& ztbOvoepko=-jbiiwNE2|gy$XIyi6Bpds6cGO?&|2sP(?v_r?{fMa&>S(-Ov9XzTw7 zsX#t`W{sn+BAov|(cGG%4jRa9T#nOzaEKiaxEF(nLw{9d+)Ewo^gvRt49`KMk*(_C7yk%g+Ls?il8SBMB! z;gcC5VJ3Tm<`NxIt~Yoi{hSU7XfmbEd8Pe8K;-ZfK>vO?-0&xB`&Nan(c{qm&=X>C}aXgQR=Uj0A zH15m8{T}!p5!a`2-2t>+=W+Sm!yu@$*GPQM=O9VZ>*YIz1|Xt@#4@yoo;9Iq3nyK8C=Kd+gQHHO{i39{N{mWjG}w009wejvN5Iv?rRgYdkl1{{+sc&yzu6zXOtDr3 zeHOd?M#Nv{x!7H|uf`9e^Qn%cZXq3^+bnnt@lUt~v^gWcSpp^L-&pnsl)Jb7I+tP^ z4jnJ5cSHsW@LW!h!wLCwD33IyB+B|i(-XVKEKyZh>dnboZg&T@2Q&I-PPo8mlx5)C zXgOHukM(GB@dW4=64Bi63ru`TGY2hP!7XdgWW1Fx*fCzc;wOsy^*p)*A*-%nwNPhp z*)4G)u`+n{8)hl&8<6|!G*M_qweJw1{I`6lK(b=BSM-QYlR zAyvu{0amrA`L;^UL7GpyTz`%Xvl}kO7v#}CJMXmn`>;Sr-FcY9A>jje4v9N>l_8$6 z+sOd#3O@+DN;CRU-VU|=aEeeG`N9Xu3yciM17PTCU*M-T53p*J)XJhl9FOtnw@IO78!IGnFPrbW-?2bWe;5g)98s(^*& z0^(0roHH#&JjKz{TZ7ux0nj|(CoOc|AGC||MKf$XAZ_GeRmlx+$Sy4_Xh(XPu@Cp5 z4y04mD(Pw8P4NdN$^6WkZzKqDa@PACPXs1QHZvAYAJp3-GcK2D4fjvE$*lkNg}sC~ z>5~VD;5Gd|OX@MwiDR7`Cr)`l?(dDr>HmyD>(TdWRV8zfv+JY#_R0?;FBdLrrh33~ zyxR<`b<&0*D9xKGCO;I820F?7&D8w1m)@FfQ%;yqH9)POQWc zG3?E=w;t!NbE$4~sGphb6RQzERv7WR7yQ!ajZ2Lo-IB zvLFWWO8==f6zIVG2c^@g7aSpCecyde2@BX_qYTM9X#r0!PnwoA@j}+aS>N-(t{Kwr>?Z@` zo(lnY`|Kf^f3hJb*b^KQC)gUuu29-|S?CHo>T4nex2CHQ;eZJxjXLU?A(9*UoFiS} z(&r1sCmKwEDo#D8aK!@X_J7V@KLFUvduoC!LN~BIXGxoGP%} z$X|KnD^&vG9Q3m86^^LYgU)rgiHDS~Aj?`B{}$YVt@Q2-F2o~~m|UK?h4cxRJv^mr zN@W-usnA%IPX!zKRyn!IKn8#I#x?O;lp~2ro#0wVoOg!Mmwkwfw~z8#lY1@lNm|lG zRQd)0bAv}ztQhj+#qYP8`AUMd!&^3Y5YKb+Cj2fTxx+=10;NH;H{v)cTDQCI3dY|f z=N{-r08{;$@L%@=;f)7Ndnw|z;=NmVp9|g-fb*wut|`vT!#PYi-viH$<9S3p=YspE zabF(p_rUjvxIT^R9{4Iq)Kn+Nm}hkM8L{%k>+1h#A* zX>lqq1akO$9#7@Rp?iAwqF;Y7&_s5$a3anL&sy+Eg{3E&55=zs(xY7c#^T@7O~h$y z?B8?#4jCkcJ-&zgc))ql(H;4uFyQ}_`nGi14rsRA@_Ny8RBB4{%bAc^*tHM(RsG!u zaf%E5w$1!OL}yTNdqEr~TfPfW+ zBQ-zbf#&%{%pT+iZ>M2v%d^(NaLJ%@ZPE}n%@%Upd5s~)zM7fwi~$%Wj~cCN<$@_X0;9eKsghABU>;K4ywOOQ}*_Q zb3a^<%VxSkWR?ZPb1o7H7-;=yr1b`(;(=17*Y6CDxwl`M z4+X$JmBPKe;oiVeAJ8a^IBoRrZnTcL@?wt$Y22pTy&$=2AHPvz3D0j_Uaxh9~X3>$EfLY zY`zN!A2r`Sa>fsuO5*v7f{38`w}e_xCJ1KC{^(KVc)*udyY_-MNBHqvJXfCI8hjo! zJEn}8K;ubgiP3LnQ1`t;B&1UVW4ru@gN-T|dz0{~oN-hWcv;}?ac5I7Yf2=!puNMD zT#1H@cQ1f;Y1_fL+gjkaI{LKar8O}3weRN;K%6HgGldhSCg8eDUEYCs%vUn}EaKkf zVdg@7F62#PEHL5cNmZ0B3pcG0$HRu2JBjUYVc%KX26M*xlajq%O%fmTLINt-$jpKPlJm-S@ zr*U5%?)Sj=h`2tD>mK+#ji1v7HrltCN>R?b=zhcWR`%2gz=IvWZtYBrB#b&*e8ZD`U^)C-KeSJOJDbinI;x61)Ve>kEzww`e| z2wHAERHQrV2}Yq@Io*H5;og(4tNN&K?CtJ7y~7^@p~7>8I_XIqw8;MK5j#tQZ{Ee+ zrCNv!b=S?|U~3>;--oqaLwOlj9f1}RF%nqCYc(_~IRmg$maTs>gGwH1)zedcFzX)m zXkiwezmk)0Xq&v@{>@Xn+*1Lt6`)tMhB)C}QNIZB1#WORzlOc%aXd7g`;${49SWyz zhL5$ih5?Ct>$g_F9|XSj8m>Y20GT~3<8Hq4m}r5Q$Jmqw(3;NIl~g(-eu4k+J5xL8 z{ZiY*o+pgmJ9e{2G~5=>9`$>*Zle#awqN_RIgH?YNhR4hL=RHFM7HrW3u27aJkO71 z=wXJl4}>~-LO?1}*Tc0i4E9?)-8c{w2)ln?u)S zLl@k^ShU~f@Yw*6)2_IkQ|yEG$K#`_{}G|@L7rQ8fj8843Yei;mz@nnG|WRK^+o!O*6= z=fgzsO&jDKHPOQi3V)j&+GmKhpKzGby z{h8*25m~6eG@b3HWeD`)4T2QRF5ta;VD#k{7v^+XH=1t42(xgyCKfcMjS1}etEl`? z5$pNzHtD;X8AhxOj`d?!g}v#f2`a)q&|R4+N{Ukj4aNTcSWN=v*;kp|$>53!wlQu0 zJZp~C{P?rL&BuqGcuhLAaMBAiwf?R(_{9X%}Z@WCRC+Uf#GegGnGtfx&SAp&9(ZmX&m-bF7u-LM z`|@zV2fjzd^=Vx9z~^cFoEDQl{LEh62gD6~D=g1>!GQf!)6Wl`Ae$;~q3~1y{AYB` zX{(wHjh`-Wkr7`*HJSPE%P0R5Q&rx4+`w3e4Ndl1SlLnYo zogwSNK@XZh2RL_EZfp$k3|fzIovq380>&;&7X^J|(C4B5@7{BJNSw9RY*4p>d*AP( zjz=T7p0xU`Owk>#g!ho%^`W_1NYz24*aHsy)UxbhBEg+RIRRzl(|Y51Tf)E52V}|L zyaD-Y_lqmE+(Nqix#d%TPUoT?GrvVqKYf&!xEt2AKu_{H;G>b?NL3R zO?(!0a)o=xqV^9BqWikAtLreoE7I{r=36^ZA5k_<@wT!LjQ5dsJ$aqrs}^BA0OdOk z;y)DcC!l+*%j5hK2Ore?a&5pJaW3_x8j@^YoK! zzewOW9&xD#^;`Z&_g|j?nueC-UBJ#?;DH62bD0gZjrJqXw&b7n-0Xb>=o8pY zOL6msdfTS4v3eiS>1S#v@b`xFk**;+6;C*kBpz*|>Ifa%wl@z5dVyCbf8z8X#IX&i z$Y`~4gRh>c7032E!$V2=JtGNjKpAtT=Vlk;iim%q3_R@xx`!Mm?>TwHgslqKyCTGm zF&!LbV<196vg$s*_XMC`{i86A`G5>Vfu1(eAKVrx-0w`ffs^dvhZcw2p_wx-=;aOp zo?ZL)lZ<+iFZk9o+ErOW_b2xWA(SILI~!+fqV51!*&-OHQ2(*L8fASEwKEVXZ{Ab% zM|)0E`rD#zN61jBc&{vI4A0)K+xE?PLw^?aN1k%TdH6*7cqo$q%8uRa@e3XxX?AKS z9^I456EcO$1`%J^|HIIcMfAQDZ646XSOUu(r*8Rd#9LU{DLOYyfTX~yow1r;(9e=s zegbjsZyEINU9onBsVxzuOH#;(t0%rjIoIN?_Pob@p77!N zM5Ejo;=L-YPzRv?)GEu43vUb&_x&ro`$~ilT&&T@#*wbYSaXDbzkvrtQN9^4sv>~6 zA$4-rl3-6t5;^2{R{!}p39WKJLCrQH$#_O z!<~V0mzlHQ8gYnC-6czV+#qd2Cywee;&NCR)QQcyfHIpO!G6gC5)w3PvWi^bW5eTR z34#wu4J01tZ$^6U{&K;Mau1MxXGt{d@J2pe)~4ikKgfS7te?l^1Mggg$=w8$)BgW` z<9LrP-j9g)ZsC0{cuxS%pT@bSI4=+9FyVX;JU5Q#5%HW0?w`hedAQ#L-y`DsG_HH# z^E7@=-`1$peH=$dJlp)zWDgRo4{vXHWyHcTE6;=I}4AbplQI(;(|Bop@2o-zxDC+oIir?!1zh|?hL&yX{G ziVn`X!V1v8eb3YIu@5AFx=AeJBmt3P>2!XY8!(q^B)#Jfh7CWPw-S8rkbLx)5QgsG z6l(`2U+G37E;>nT#ncx-$3Id8=@|Kc$iMm#H>%CeYvV4`BWAzZzkD;|2NJu~?NW_i z5S%r5HF&Qh{N3h~p83xcqAKW*NTb*Fe~P82DfEQf>6Pm8!HBD?v}eBbR{(sqe=zGO z>J166PmLs-#DHe?jxYV*5V*I$S&+6f3`R@F+AXhmLx)80=5^x`5T~B8)uD2Pr;82} z=kyWBbeTi73*FZ={UVpHS$Mc>{r|>xq?dBI+N~ z<(#N@4FI(auIgZF63|_tDG{c2gH~phI8SHPQ~kKkqXF$9{_c}s)ko*HfgUNd{e~YH zZU;MaopFP;lU_XT>?F{YQWA2?ME8<^%J-zu{ra`q_y2U!enx0=Epr9wjuN6_P5;fh zf~D4T!y1$m_EML7M8zHe=~p*61%3p8$8 zeRudNx!f%%O#;`GI`+xK=sf!UtbXE)KWLuFubxJImPe@OrU_U4A)Tcgv&ygo*|S*_ zD_wqIe#?1R4xQV4cA`uBzj(vGJ$tUcoJD)1-r|E91}<<~&VY8Z%oXK1C{pgGBOQK3 zi%I4V>bs{Md?(6-`hF{~Ty{qHe`eIx8Gx=9Pg0-2)IR}6zxQ!0?_mRpP&3P+9MP1*s0q6b_IG>&EusK9zf?Gf7cAm6 zb7&bYK#hJxU#8y;u$=QlnF1t86Lyjwnf3zN-J+FKr$d2C(3V-E&JW((mB&-PatBfF zK%*Z)$PYv_EB$|Sxyexc%el`)ka@sQOE%MlhiuV53e?N7or;TYnMkKEVO*>I>4o-E z3o)ri4L%S$cGiyOECH7FjnQq<3B>zdp52`GMqH*FbUD#}uv6M&VzY{P4;&ZcD<%9u z^5LzuVXPeWG^bN%sH?-gf-*PDW7K=4bn<+UI|*Lw6?YOX^@lV*E%SQRCy}AR^iC?$ z4Nhd_W_BtEz+1Z0(=Y7pfNOY`7=Ipd;xW1KTBjg*u@T5Qf^v?db(K?}tOFrGef`0! zdVd&RGVMzDi~{BS4!H`0AgFj*m%gozdPG0pJYcx#`M2V5REql1kWlb_yxo4q$q1%1q<4pUydd0iop}QBH~fu?R(cOzfMzR(&aw=Y$KS(Q zNv@9o_nfP|%V)^&`KO!pJcT=$-}EpR5JNgzvSx6a@p(8<$-*{of_iv;M=nZ;kYIy) zFSE{LG$*dhSw}erf#{W*w}HZlTlZ}FWbO!>^DVA-{$2?Kzr$Z0s%wd$bGxx%h3pL% z#V8NcefI~61-@@yibn9u{O19~MnBL$s~dej)EUbE2>Wn^If7B<{R}T_Pq59@E84C` zdiZLS57`~yagFxov6_wLg zC~tG(k=$)NFYt?-9++kdg5YDq1nGY|P>>WXp(lX2d(+Z|N8UR@Ecby;uMkH_MNJns z&mk_-Ed?5*FlW$bTGYL8#u)rxiJ6$9-_@)5w1S)M*3c~M;ZZ-P2Hb&9gyesyfIZiu z$$i9m(G_f`>@G)p7W20^)aQJFG<>us8}$v{J4S( z>VB6`>je@U%hf?P=(%D|pKZ>9dgOX<6g|a=Alk`pmpp6<52{XnGWh2PUAa_3Oulk3 zIAhN&e#Z!VexRL=i1w4thh5fG#2rBF_P{Ikt%;0aWB{@FSlPtToCDV z`-|w%94E5rao*Y-Xv|C-#Biq99eg0KFg2g?imRFW1s~QncwD~ zI7ne}d{@sn9oGepg?&<=vpj+6L23N~)D!iB=jO|qRAcPlw600&Arq|US+t5%n+g`X zpKXmROdeM48SjaknPGIlE6O#-#8DnO`KFD44VJ|4hr)H-4tqp6a5_ZppR(N@yYK5y zjll5jta!?MP54!3lB#(E`P7o13vGSCjPWnfMm z`7G1EiVDezqx+yRHnFiB1X8(Kd40&o;{P{G>L`aRP@Ln{c%3)q&0j$kbqC0f8jkuTAMu6n~#*v0= z0dVMbSI<2aC)ky7l>JH(2415VEG~Hl|F3Tx@3F=E5%JzFyw3&i3BdW&IM)>C<>4GA zobQ3>#_>ENo^!$d)3`4W_j}-bL|mW7bq{==#?R@(Y5spE=kwsQ4ny`w`D}P=&T);} z6!p7qCmt>G35Pdwhq|No2LZhjkKPYCTR2BkQ8T+I4mg#gXXn3Vz|))-6rf8)d4~ty z{>e$8G&ES5U61?}G+$o*lr@BhhFvvJM53Vmy2*Dh}xid+yBG5GTQa%}Oh$8~#)f6yg>xgzb9tHo> zD?9wyQz4yK>tk(e4E*d)&U5aHLENTO6clVdZfAodwKlzKC zSI$5~MuSaQmlf!FXWf=ELOo6YA)aK38unODZ+?CGTSprY`)S6gSa@QTCoY2WTE7>0 zhhS|Em2jnk0cvt_x z9#<@wn>8>cBNUQ9GbRe4e9rm@<41H0Xde+>b~mgx9EzTi-6cHGo*SkD?hl}xyrI`4 z?$>1a@2#GFm7_Ce=Id{I{$?4&z{|>uKIxlb@bdk!zX8ZcQ)i@baYs=eQ{uVr{c!^Is(mS#@;z#a9au~H$9~Kj zdmR$-+ni(!dA}%YGw4GwuC7cYcjb7@_|l$QwV~t_<`ak@o>;NaHi|w zydNaT5zl|HH^&yLzH)J0HV2zSCY+>?$S)B)^VN-Q(s-k z7}P^O&Py@uCxgwP>#OM6fH(VB&?n97v;Da&*C7xicSxCM8VtLD0!X?r^Mu zn9SuuWsIru{c9+<4#irVW_{hILa;|YFE4&o7l*+7bSXOCFsNid!`?GWhKKZ%16So^ zp(c%;yuUpbqzyld(I6kytr${@wshe%;dPCJ zz13wN<}%T6{C+d7)ZIAbk7}QwdxqW@E8oTFx;WH_b9msLxG%hVHOs-G_Wy`F?{F^P z_y0%PWJHUUz4yonr@i;yUiRL5?^%jUgR-(B6pE~?C9&k zaa704{kmNDc|MN_=@ zf^VB^Ju?aE5N_P+78)A{XZlU+r`U0RHmGaw8eb?_8`ha$9!U7lH%@qL2|ps?-6DK0 zgeQRDPZL~If|o~dm=B9iG%@!e?$iIB)5d3Nzbu~s z+w5JxW43JIZS;H<7gHpRf0$4?Bp3?Y$=l-WW>%mrEI?h1_l>Pp<1?g_S?~^~5?aO6 z!LLa$RqIF=Ftt51MTh(`%hd45z8D>#@+1Ehsu}~g=hS8+ykl@K?7rO_H=J`gHL9pQ zo(x=P`l)DE(_lU@a7w)<3*KvYT!=h)99j&XC*8q+-;qeNhwI}Ruy@KD?R}jAui0qQ zvYsTvj_tH#21U4cYHYkU%!+?*I~LO0Y?Gmv@}uA*nJ~B_^3$$!A_Fp}hcjb-r@`yB zYq?t6nfQI+`8pG#A4Q+4Z8AyEi~*8+(`pA z6{*+9PvyZmWr_8@MQ(7A_Q9f`wmn>^D_)K>$2{U)AEg1$(@2&t&bljUp&M=rFDfy& zY3%h=${8sgXfG7X9LIZ@BWEw^`>EQ29@!7IPEI@6b#``0g2xX2S)ROZiF2ZzEM(W4 z1(RWa7|yjT7E}(D(*^8GgKQ^(^!$fW(0S^V z^r!RDkg@UB$O`vu1^Bm?KjU+)_WZ8iu0HI~O}l#6X-_mH&y5%!xseQvwd0(N7h+-f z#+Y(D5B_(X%RGESJ>a0g6Y+N3pWz)qjm*a*VO3YfYJWpG?3zuq&(n$n>fE`qpTXfk z*8ARd?E*czdGE%jvX}@UWvPE}G zQhC1)<}Z)ZanIm>#bJH!nHyGU$0c7E>0U4NPAhr(PpkoY`SF%rG|sV}w$l+Zk4pho zlQVQDF}G2xjX4B~ET8%D1aLAf`z zIyf*D9to7+IrA?K%dC^!MGJY~66?Un{EYo=LGwzEL^CG0romjQkk zM9UP<Am?gipFwdkzwc);xlOLlX z$H7_1U9<5ZcUTn50P&B|@zR8UmP>15i4pDQJe=u*mb z+;hBE=>H%c(x!JPy}OVKaWQG^?v`0#od2XRu%!Z7JIx+?ogM~BQ&Ndkq4=C0rAZcf zo&e>q!-me3#X|dc=7y-~1fVI_K3}aK1u_x`2A}99z)|wQbdlqMFugEhLQ{|pzBgE? zcZR0Hje%N562A8-R!UEZ^kzc~rL6%&U>0zTZ=XA`g}>K4kvrQTq{04zz8LDK;jn{0 zhk4b~6kI>N%x1v;l7*_t4XznAVDpW0_|>5FpKqM-*b;t3!n;NITnJA9!Jj6$rUWmK z;4l$<5280t^bv`k3z45Da(P7FgV-Yy^J!x4LENW_b2>>OC#n_aEdv!^oLPHk3|p70 z6F!-0g8xS@D%I1f=!W)Ok1WrGT>+HnbpufQFj@(U4Xb-FI@=9}s!29v1pC&7Uy%4u}TB;G; z>*T7Ux#bD;#z)C0l`NpzMTAD^kSVyiFITGinq$7-R5`tf4qQ2*=BpN?4}mia-{WYH zpeOJ7`9iH_Ku)#BR!q$f2DMGA#)Iv^{Md^>WG{5#Dn-p@m2_ipvAOFI+h+!g5~2Dx zO+FDzfY5Fpew(>=cZlZ*KLaK(rC4G_4Er|FM8O)WCgjL;((jvgiyds6vP8?Uuri z%5ZGAN^b+LB$|J0kuA@Pqe+i_{QFDLJP z=A{vox%-gC{pClOesxkaC>p~oZ~0_CQiR|o`mT*QMKl}Tx+43^3XL9nEiI>|2b3&= z!ZbgQ!tMJFhlG9Apa6bnS9|LLx20Yfb%ZjMuiHkf8fv2b#f&}Cx*{lZ-F_c;8 z4d`1@HLJJL0#2LA=Ti3!P^=Gsk?}Y;(5uAMrzzQ>i|0ZM&7#c_2YU0Sj8-2pmU2nO zAa``O{~%rXEnid{+&e*c+zE~7?~cDypoF+ogi<fr_P{EFS1qOH;>miVb>rYH2WR zryCO1_!D^C-x>)#wY^>@IImV9();UJ3^&Rwx202kxF4~-{SfePNDwg$AKmh}C6E4e z7r&m~t&Tw3$F?$*7vGynhFit}c_-u!ikcb#^>W%KZ-xf+(`4kox@HEvjs02~zcs;D zaIr$%ju(nEv!kdqC6O2Z(Ct%)X;9NzPj{%rUSzbMw>ng#iZ*^O+9tPOs9}Bk_E!O%V>I{p9puZ3=Fac#J=MsKD998wJ=7)9&y*J*o#28R-s9%NKKouhpk3rW--`RfCRXA%RBcqCr8c&wk_G!B2f{Bz*IL0(&MGCN01ddf zOZ9Mrl|JU!JM)bkmIDS|hwlO>a6anppr5*l5d=B9iG%@!e?$g9Mz0Z2%(zStLX!^ym?UwHccTUDGt*AP{ zwzVaH$vW=ejU3JGd=>%6=}!6=@dm&H$#SwSMo%EOEO8O-wg>WEUX%xU)FD|sxh^f% z4_+?0Q*w6U{PeS!?GN{SpvyaOrxWH+iCg;mor%G{757fY&aogT_PJd7(N7C$( z88jNoN(f;O5^M1IdCxgt__+PEsE0WK78%|g{fp;}S^fEs9k)n;^mQ(px&{E9Q10*( zoQsO{`OLwl?+Cps=kvdhVy^pCyY(ILGHe{if03Gj`?=- zC6x>hXuhN5MRHTYd0CmL$pLBfvaTf{8gt)2veD4rBeQ{pqH492L-z13Ab+Qxz7OQl z$?v84;tg@KFMj>NIYIx`)}hjFcbF+kE6Mh>g!}SM35rWzU{AH2duGHDM)V}Kxz_wa zQ*h>78s=b!$=#m0WabBzU(^Mv6|JGvnDU~goHulh^?Z);Hihy#8}9|nJzz8S%faqM z9}p=d5Bp2y2@^(&#)h1}P+k1>>_HAYV68djeqkpG&&$5NJ0OYkmj~%98*#q2N1&Rn zcijMnDTb3xpJIOfx5)P04Z85{_fmB_xh%YS`=^%osU3WfS0)p?rHVApv;0#ov_j85 z9Xz@r!h;U^-Qa$`qz}1qOdr2oa)4W3TNBNr96(6TeVX4u4j6wQ`XanOsit!{R5SUF zCQKN5YB(Hpgka|j%TM%8;FZZ+cJTx~m`gX)drE;nCo($9vL9yPMB^Av=1&KzKsMZY ziv#|#i5Jxb?Z^D%_z=d^CLk{|KYJ!p9*%PSIQ?^c!FN?yAksl>z zB~>633Lg$TLn~(qsTVZ0g_ra|GEz!O{V)mgb${43*m>f9O;x)h<|Y-_GHyMjl7Um# z4!8&CV~<>)d9fb;d5s^wOuMq~2>k6u#Xp_GVWs-BocKu+9LYaoa=a0Hm5pbWRWP?v zQ#71+XvP{6hXXSw-#B9~#TBhL1F}d^*d@1yy%I4CHmGRd(1TY>JsS?EogixNb@>RM zk4soTKA)y$1p!f1Voa;Hkai?;i!Q??2<6&{HUK&Y_B^cJ&oHbzvctiW~XST zM=Jl%Px-1(^B{0uzw<*eA_UfM{mUxx@d1J9xf_i?ec-|F?Qq&pIM33S6Z$662F@RN zBx&Iv2tyO&T_y%vkkL8jq-7BdOT#>+wVwi^cyv)nL&^_~r9*xXfA@jxq#fcqR|8TuQRZYz zplc2CyoK}PB2UhXJ4f05=Nl(HwuB#%@NN-47s3-j@TUo`DZ$GlI7|fJgXoPDeMF+? zLgc53Tpp44AohsFe43bh5cg@~oR0pa@~jB=(>VG*;rJIoKsiZJJcUoZbvDi7}M-C$Qa&0-Hjqf+5j_gulAf;C&t z-wQ@&1X!fC<$;xF@9YLA&LzmNX%;Uy1N{Y~3!bfB@IaY)NfSTMHxvTjb@Y0|;bND! zZ;ZTQdH3tv9Tx5|iu7t|@bl#1kRw{t;Dqyd5$xz$6uiF_6?ziqhp+96dbU`I_vFcbT{kWgK)fO>1=DG0xw^!*sf$7(s7Q1*$IKTUa=SICfe6qXR{XFB2F=n2C5L&tyM{Y>QgoBH#b?oikI zmxV?E=Pl{4x73y!LjXqvXScRHM6X2O&gHa%vM(uHX2aeP%6fC17U%e0a7c81dVu?q zcE49VG|iy0(pc)@V-M&Wmw8aBXo`CcycXYazER?te%r}?Ua)VlmHYD}ci>6lOI$}Sz{`gI!~PW~=*{mld1Xj~-)FyncjqJFdoX!EqogL7CPW`EWN-knRp(tj z1DYU474yKrSPJgMenpJFc&-=bp6<#kk0eOPBQ7db%?VdMmh&hk^&Esf&aQ!>< zBlEUBgkEC4a|8F$UH9sJWZo?a{*uChpITT^4R0&AldT54f1YFVDc=rSzVjF-oi>BJ zzFIkBRT|)2F#4TJ${pe^?uuXOGlt$zyV!j-c|bGVrG79`3|81!a-NSJg4jwP2Jd7Y zc>u!AAbCjB~l3Ak&bC^i*r22XA)P6!n zUjS^8|3goYdw{9G(Su!)?x6BHZO$0?fIT;ot{*6~0PTtpa(&!il+Lo=`}-e23-yK% z?;{_WW{poCsq=-UKBIBdbT2qg=|l5Y#1r;*&RP7*^Z}a}bb+$CKlyLf@y%H^U${+? zbwA{c71YQ)=$_kW54#_$-Lqv@g{m9Y#;**Vq4dq}Qk5VP;5IFCFYnfcXWxr*-OJTs zal*e)^pDYhzH!21OZX89?-t>6Av^&Df12Q$61+Tu!$j~sh~7BSM%g zVvk77r-``-ai1p6X^oOoS?`Uo_rtO2DM2YyHoBJh= z#2*VX1X(DfYvfMdgF;fsGpF`&_c=3&ohq&3$9&O{G2SpgCvDiJbx3Ci)7yT{#n^o9 z^X5R8w{=Bd1^0Wu**xTZ#)uAS_ZB2NNucKD)YtF20QyRt4}GvU2g}P0FB&&AkoBqX zS&dd_klT91Zn28{7_Ayhe?&aMx_vd;Sy>f^_{ga^*K~nGCWvd=82`QBIRYyb^kBW? zY*+L}D^R<9F_hzx9-Nr^>~2os2q&9O6q_6!;Ar6-#{Rj1XU;+LBeZ5<(bP)Mb<7oN zX(OCYW6yHh?~`@9V(O5j8rJwo8Gzkj)5O3}9|RJatHO3Tga6hHgF%ZONXI2v2~A*~ zVlLgGs~2q{+(r2^9sYf%`dNnGEzAO>gUUw+_P7JZun_Mrb7>@OV055wmn4$XxN!2m z;70%F3|-z&)UqgC@4?j9Wo_`^oh??-Z33pVlll%C+^F{LLj9{hqG(DfCja&yb1BUi zyGX~bO>jZTK#rP1xh(3oT3jCB!`}2(p1cqZ38+)dIodL;1y^n~`0%co!-Ho(tFDAv z!rgR%>xGwf!JADxGunV3c2|29XgJ#d>m31~kuDP$H0WUExaC%DO4VyB)Pxn#=icV=@uRFP|g0eX8H=d9^D+~%;0epo{GRSUwJURJ0_IVe*>m55Gg)+NucCFz)%bHB( zZ0{~N=v%+2+tcR&f_(L_t*kTzFk5q!TA&FAqAyRfY0(|%?!U&b6Vjg%zHk{m&{hkxbZ zFB=&9&bq&u*$HZ6;#!>M9f9pBqh&|*IrP+S@-^j_3Pv+{vK8*zG|sn^7x|ktejzX* z%iDG|wS(jFo-fl@^dZT6ol42y75L{^tbB3aDS&b3<6EIRF#9BoY?X``tznWwi#zVg z8dUGHT?+tx>!P?)>{)Vt|8gC4tl{3zt25m*k>I+z&eKHi1h=S@T@NaUf>pk@=et$h zv;3cLobcEZeni5%Mfh9@PXNK6Cb*^qFOT3b5quA#H%{~siJl9QpC)p7MBangBNFpz zV(vlQr-^gglaYC1A~p_cwm#L!3#CE2Zq<=F%qQW_SqR(~4T7N6`?ocR0>Dm%m-l_1 zIaFp2sfsHEK^dP>%{p5QNC|9tutx>LhrO?Vg$c*QNBR#m*GaZ;{=V>1MOp}Kh*imz zh^7L4%)sSIfdG)FlkI6S2!zQiZ`b4vL&3aoZ!!P0EpSFi)MWg^doEhFq#QhN7tRSY zV%~}GaXk^&h4DUvZS+F@$q$%!Wk=iiH`fOy)f zCSx`@jQ82SR&;__F)!nqfEoP2{awDfncJEHaE!f=QzQ=a>9;9M+7@ik){U25y@F=o z-fNX_Y2^fE0ZY0kOAWv+Z^q3Z^F7}$lKHsS;P0)_pO-(iWI-^eLB9l_pWYz@bHgQq zP;%<*i@0Cd>qpg7bXe34(UKU1%{QZ<%{2T)jCl;CXnYlG{ulyOWM2=R#QSR_?(}_I zIG;_~ak8U-BnVuo7b=r0Jb|G_Gl@aO4qz~E_tAZl_QoE_x<6SmZ5T8pA!VDsLF3X^Z}mt z1*U2zZ9tiFYJJi_6!)S$O?F-O0!;?$C7Y+%U%rR@Y*3Xw%A@)cImGV|7bkP}3p3(- zHgb=OWAp*)vy9yT*W-_f$hPsp-viwz%=_P*=0RqOtITDiRzR|8Yn^ot6>L1-b<=ml#I2L7E>=PnUUg1F& zvB4xnKd3=HS`>oXtgOvt__ff#&Qk}jJ=h6-{NWm*3U)BjVxxLoRU0L*lA0MeoY3o) zYTmVEI|LaGHb-8~_F3#ii>~rKwF7*{pu4pxY_(v`DmFExLvH4D_SMN zUmfbfk9!JGzqK-Rz@j}WB5M+}3=D(mJnOqJvqGTTo>#cmDgyQ%8Z-Md7zKNmZQ1&m zePNtyXSrxrIP4E~kQe;s3iUtM|2l|9gECjdURl9N$aqTg$Nh#k*mh5eKA#T&wzv$B zzZ|acG?67QZzv8FDBex}y%LJ&O41)&@aOaUotA~b^NkZ8Tf&b> zc((|j3*iYM_|pW}l;GtN943PALG;FnJ|fX`A@b8iE|1825PL*oK26L$i2F2gPEU0e zlkqhafGeNvyEkbWP;=8SHj*hGdjZvU&W1&RiAAH{E1XAt-7%$PI2#M^w8zW7RV9Ha zXYO&oojXnGldnD#$J^rfwNrnSf#b@MQ@__aEv3$0+IQTnS{peN% z=CI0|Oy{L1ftWIVDKGY&Z8g};?Q)5SRilXSUHrk|epCGK_(u<@tooNbfb#{vB&-uf zPNzbM9;JZbWHdbRFEU%sOMptvQp+}7%*0*3;l@Ahn-sH0p%rWFu-z2 zgQqJUBCd-)9V(9n1uutxhPG+&VAmb5KShS9DCh!RsjC%;jkbJcWW~IW*hb#iC1*JL z5+!mScSH&o77t&Z@c@}uw}%<`;r*DTZt|HX6WCp}{qs?-4m93*+-O~5iR{}2c3jqR zL^HaiHCu^P@Y1{a{#+IIw0lo3`f?_Kj@h2O-@;=dj#1ckcsmi6_?b%ACt~1E)U20s z2IiTFI!%{8iGww*rmu{cw@`i0V~DXL6tdavUf1Ki_(AHy7>n=ruqoZP&o?y$Y~MZo zwkN_4MqT!TUxO8z(!TJI?OH5|9r~6S7>_BMs`27NrywO80j%ZiSFo^6uyL1irZpNfzcNZyn zz-i81wh)E6eqKzBC#t;QOp~QhP+%bZ-P;$m+ae0YUnY6Go{j)b$CFQLADbiFq^jTV zd;?&qf?<1_nS`(g@w><`Hx!e6%iooX8aj7c_ZRF*K!}@)BhoMvHHmF4h9pEG#sj(< zJH;%ZPeKp6PLROcHM>r_*&il(1N62Ub&*!{&GQi%PROsEy|mEW92wgF(t8|lh&~C8 z@duaMB1t79zIV$K@Y_poSM{DKs9x(2d}yc+%9_g|2W!I7@%{9nyRDG(@{@! zF8<6d+jAyJ$#8Mx=AJktUK*)*@RJ96ub|x}c_0RfXUJ-hzYRl^QMBz>^7q5F-jbB5 zEbLQ>F{o|7><(Q1#XB1Y0>Nl}z8S1Tz(l<7c#<2Qn>9wC8{@z{vrpz%B7S0CLnoU- zdu|f!k%>Izu|FE7VkCkRcVJ%sU~8TL_FDXj67G>a7Yeb`JLRi?_`$8?O9iK!@$YHr z)x~ZPe`upPq;N%43f4>5j!tQ1AaAE1()qa0oXIqL#2@zoKAk*ozKA&pUxNGnC^462 z!K&|}2n`7w51Z^!H3)*2vKdDh&qreamA9uc-b-+rdFcF+js=^elX7D7xu~r-{WQ}9 zeN^)1hxM!6R7f0)k>tcY&USjAB908)gZK`#ZK7##YhCV;5x&0&)doEq-H`$Zx%ad8 zVqasq;1pg!q{GQh6VETS>5vs}cgw69`-dcg?q-B0gLTLD`1LE{Ps@pW;CN9dbW_3wFGlZcF*j&7w!i( zTWc>@OQK*`zf{>@%!4^===ZuEb9T>6Ms0E$;Xi-$Jn}hf45&>?r$;o0L9x=c`x7V{ zD)vq6XU5)+@`?IC)91qB5dF<(<*8|qlD@q8>0|;J8~x6Dz?KYXuu^N^*Kpj|X&Y7y zOM#~+45Df670lw1^)h)o=>W($YspWB=7MTG)SijY?PN$l|nA-Rawh5<>k zOwZL2`#3)hXl~vK16A`q=dy55TH9w!3utjKQ2baE`;;GCC zciY9N+5=v#r-&|S1;EDB();=Afq)77q1^Og(DC)hCR=7Wh(&!~cd+q=Dd+Q4iyYjj z_lj*t6Mj!IK1KR!E8zpA@R#kQ3Sn@!tut_*0dvf=NBm$VZCIeB zA`m`3zoeUp`>)hD|M45F1wm<7njFJ{qtL6BvVTP17mmH~~&bwv*5(|k{_3kJe+_N%*hjs}9Xu;=nOhfsJ~ z^u!Owa4&FEmlogU;BJnU!H0HVXx^0jGJPu?(j)lpFk-)t^RVac4*^jinIhqy;h79E zz1@fJpTyp?^&^2fIOiTEw46Wk9(%dJKdK4oz}%ng73(#(Fc4)6)_H%I1be?8Sh;^Z z6RCXVa@$f5g7I{1vgb3w*h|9Mz&#iOq4bLZ?;}H@k#qm}=8!Ms$H=_!#ayNB_sx6D z_##1uzMqiEx0D zuhj8cI!F$!B(|`n!3E`JN$x%A@a>e~v+rVfUQ_bACoLuoB*$*N)iT)+w;l!x`ByQc zOUuv3X82fO`boxaqkcYA`1SJ4FSh_B<pY040gUZ_He!`}b`*_dZ?ifjtD=2o*H%j<1HgxC+j68Y45TFHk|)z}pX=EDJ&)ylA-!_6 zNOJ>oKlp!1ekt~cldnx;uVYW0@{h^CGMLv=<@|^0QKl#Et?(So!kiKDsY|OrM}vW} z?9t^ASAC$}NRs0E>J5!o`UVR3CxOsucf}FIc!;L$fACW-5X4dnH}yX2L5byqSO2gd z?_1sJTfgW@K+%#O8mNQ!k&jb8sbCMP=VV!B%cu)%+N>V4m32c>DNU(?k{~Gj zF-zEZg5=i?eZeQzc*)ep6W&HJ)QPJ&05x|fo9iVzkBmbbZZh@#&9L4WO#Y5sHsZr_u@sPpBFrVw-2x7*$cxY{fw5fYqKbZtV zg(c6s6Zl@Y;KRpbj`K~9MNz!N?<3&(iS~pOF51W?UwqN^v?u)VbQ`{$#DXjgk48!T zwnoXH3YaG!9z|n}jHjjY)KG#%%j)_j2Rt$9$^GCIj9#VuT@bgjKpkE2!&8(#=#64O z2UC{^^4j~amr`6G@jL z7>>>`B!CnDgCdI4$pG{kzs4`&Tr?V;2XG zyQL?OCB#EnVoy?AVk(%7b7(K)-kDQN?3LqIIAlUhqq&4QSM)w{OLHjNbxLZq#1k4u-w+3JQgJ1uwSFN zhov+&LAd1{k4oOn_D6H!9RD7@iL%5n{JtjQ%Omn0#2%5DPZM(w;yz8B(=P9td1ml=o!)6blWVR4R+8+0{SRYK__WV? zQFqKY4q_O1?%@QV&ZYjQydMZ1zkki2vC)Aue8#`)b39-{+34sm+&{{F9Cg=y%?)aw z@$$!RlHgYX4TI!CPnb20S^A23WF_ycOKjfaUN*aykD;R?B=2^)kxWv7!;DcqqE|^E zew2@I59WRE{;TiKSmy$Xog4Xo21wA>9mZ|N=LzFureq7%#()X#FSuB-SCF=;@Gw3f z=j$HDb$Iv!Md(iYxHdOfQ4rDbZNhmNvY$iJRo3Y4zl$Be?FGTZV4G{INfXFZr0+dt zn^%i**V0*h?|=;V^`wvf6$VwVHzOPN`_b8=iqrDqGWO`I9p;2A0IVx^j15%DD z+SLA&6AUmPJXH{nbAqP}cT`uXp_o~djxsrE`2HwcSYn!lK30dlTBy{ArI`^$zF|$M zvFLLZZQ1a+Z&}^;?%I4x_*=1vo>W?H?_?77+`Nsp9;bg&xLHtMl{Mjh>~=d-Wq!Kj0e%!s?O@j>*IVsJM%|9ZRGqt`}?K)mWbT?0w>R3GxYE` z>$fI-3p6{XE8Z<_huE09Kc`yDA?-u8g%JS`pmr=S{Y@_q+NPI}dvVDJ9Y~CPbScma z@$Lxhw4!!G)TYPssg%vpTbk#X(iDUk)o#@LS~#OALyD?7@JCyeRQA&x9!Q2MAvMux zy`NSbH6_Zh--e?c#X$AZvT z)$LrG#|N~mGEWhbf*)t+7ry*8L^NnzIgfM@0)y#vjr7@3!j+SsTYky_JxPphy~rH6 z3mTut?%IcJs&7osouCA>M-_+94M@WMV{>7t<3Fh4|rl!USo)R=dui+OH@1Ye0?v)j_yGpxZnz@%Omn0#2%5DPZM(w;yz8B(_SgeYZhkm;J_&RXy2>?n8u_~*f(0h)6UO};|;p- zJb)p$j?xVJ5C4t)k|_*Ce5}rhHf{!wR}c=c!y1HGt`j8iS~t5^(B`$MGCd zhVF=`yzG)k!Q1-QrT9(>7|0^09b0Bb%s)&1Ixq>qJ8>D6lHW!^LCYdhc0m&gNwNca z<)Yw|=xlu_RS}My2vFMip$KaB;tJ&-*Z_EC^dylDxcqZdnHSN7MXK%{&jhu>C0TO+ zEpG)l^v8BG%UKBo#o`W1(Wzn{=C0GUv|NxeI{6`qzcFp~>49*P~ zyIK&~D1TCdm@(Pf72iG~=QBercc=#&=*#kAIzu@_RHknGfcr5<~%7^K<^utzFR zaeUobjt>pBA9bg(+l7M68?Ik@4~W|JThqzxp?;xQQbXvG&uaTEw|5<}l|+W;Cz-Zg8izx{2+RD*Ic0R0*0Rb_J&b)~qj9b%J4u_-GbsI(2y-yS+@*GKrge73^-lR*nDMMXYwzbIH#lX}d#x0s94dz(X?N*Z}wi*~%dQwiyG%9MC+vf+J)X+`-?3WerFtuC z&e7~d89!s6eD3B$-&^UFPj~vEXKqc03;0(1dAhSs%xG@(FPDfNQ?$=q=2oecGy@-4@Nx;hk`=%U{TU0LZC(l$h=FxYp1F~>7n=e zi0=r@$*>DOR?>y4sCu?`AuW(;NVj@U&IkKGiT}#YlLogvSEvVSMPc+u&h`a&4X~yX zeA<3e5z?2=8_jVX0`0Giz3zp+@T=`;Yt35^@VrZ(_D4Ptw%@$Z`G=fgY)_R^Mo17` zF1q8^bIJ)sDZ}kg3I;)V7r)WngKltD-pW+8%L>M3CER0%L*bodQMr?tHJs>wAmxF5 zOS?@(gS8F(;7Ia^xqmm@|MQI#9$UhXNO-php9|p$Ao$Y+*OcJp5gaCh??Lp&i9RCH zb0PB6L@tlWdk}j>Vm?jGJ&5}>aZal`UK?{Q34r1$Z3?em-2Y!+reV5?y(=k_%&NBG zpvJ98HE895eTR;7I|RbvtKhouTfZ21D^@`2RrZBLjJg{3CH^3*ex+DcI|O@2`^zHC zY(S>i&g;OH5a>`N;~7%I_um_OQ&F~_(2!xt`CP*rKG_N9Jj8jD!T8MfrPG0M^~p2U zWBs_#N@BaLdo>h<0v?(j-0KBH-Fn!QlK|7VB|bM7M8K)hwB<9MQLtKVcFnEYAG&la zZJ!uM!m*?Kf?u7{1HBk39d4^KV1Y5~XgJ)jvY;em+OSKe2ys=x}nkk%|mAT+45&!=9( zKmQ*R!4xByuk`DY>lZKV*N6(RsKMU0Yd3dC$hZ50^|#(NeatJZq7#)))bxRY`kHJ< zJcr1$3xCxRigOa*oBpzUdBR2AY$ZkPNg)5qqrJl50V6?g15P^O{1y#QZiUER^fy;& z%A?;0=p?#j<~MAC`4r=Y^i((4*Bt#QG|m%F%pKZZ#QFAteY!7%pLqjg_^k^nVa`zf zdZ(H>BQGitV`tdL{UoQi5^*cY3HHBiyZ7n5A3Qy9z(0=34|-AzHO0q#pje=m*JaZL z%%1mL;S|AM1G=LDA7{nTojnWp%W%#%Gp6I&OqLf+yUz>nNOygd_Gys+DKW=#1(jMiC3w!JInuEwEv&-IcEGUhA^^V2LcqI_h_%nIZZ$%0}`LZ8T> zZBX%odE@Sk_Ca5Gt0&KU`-cmBv{EYHdDtA}oE*vFI0-Dz;wT380L2ErC~WHX0+;+Y z@m)Lc{$pR?o}3QN4$aTAwE_9$)kB3@IR7pUlyP}}@aV*Nw$XD(Fka)4SI4=xhj&%ZO*>=G zYEx2(%1(c{J;RXT$An(m(3(hp`ML#6zHZA84%tfh- zSJy&elX|ka3G-!R%d?l5Sp1=qwXY#)0Xyr2C0aYMSILDbUEW&C83vq-g+Ka*z?adM zoC)a&=zA2K^PtfQUeRlwIrKdOtQ3oW33cJmL*=o;W6D5yqp@Dm7>+qTo72ptJUGYH z*?;RbXVQPZal&Iu_z?;37U6RtJOKoMn&6reygY)#MDRU`-Z;@mBzi7HewxVT5qS?{ zk4Vg?iMa=HpC-=f0uyR#uJ~BE``Jsf`&S4Y{(a)BZBi@@^z@W9D7XWS&c#qge7vPr`GM#G$CyejpS1d#uUJAH;QgX!@E$FgHYFZx4Qc(mmwNe=p;_-v;$TJ2x9} zSpTbX__aF-+SB!3!JL2xmQuY_n&B`PP@>(=>JNX--(22&5CFOw=`yK4p-`>9C{pX- z0xu?LmcP2BL*TBlLyjDg5bU|5lBPHsTm-o6MqC15-RHoQY`n)wup>9yxuJl59(($y z=DsCNrTy_732^~T2KLz+G=rZ4d3V8^-(iTtMW;WSQ)H72K1CTchHJP`iGv zG+xLM`oq`N_GRiK6<)vHKRry)(p^KFd8!DI{Q6C~X$R&*^2N-Kkz@XPWQ_!?YasB{ zePcQF1J6xw&OJVRF$69@2riz)zwctzwd>A)34||E(+>vQe4xkJSXnZ{4dhzYonvpi zgTg7@f=wztI2o-d>F7a%16SvBnzrAm#m4h{M(wpj6O_mQR^7tA!uRscGPnnC_;CBy z@j*|xRnJv^JO%eMc%Jl!mjr@axvl$`03Uerl&hJy(;B``mpn@D*F$NZs-*beesFx2 zEl|V~b7pPsl~3dO`qHWM%}Ln%ILnaBC>)2CVA@2w`JTHIw?(WW@`ZsH6n2($82!FFfcrRmkp>^WJx?~a0Ry9CHa^f zAGpF>@!02`H)L=uGrglwK{LzaleeVZz)Sb7#v^AdWL#bM?3}M9>I#rx_CuVoDoYc` zBNv2fI~n`0NkyTpZ+X%7;Dt&a7VGf5Lj9{F3GT_d2B3Tc)vepv0(<|p2ICTC^l$n| zu-kbHWE=5sXp&PK)zNE4kJ>08XQwN_-Y#gN`HPGF=}SUhBT#|Mu~mwuvO5 zt25!sHvmI5N;~l;JQsF(1};&aKu0FGz_?)v zb%))Z`7p=kUB|n*6^T;x>x1vt#It(HpRD2R9SDQVm1U!z^q6CJPAc0AwW|o5lO|zL%3vC3j(7V`Sjui@r!Oo1i%w6c7OqXQU=%$RkD8gDX& zGkhMvQ&lK=;g$(}?_HBdr~RSH#d1Bt)*6(3?Qc(g_JlRtwVG`eU#OY3klU|r2|vkV zqkn|>17cw9vX^s%Ftga9NIY-d_8CssWyT!Inh#8rqBy6j@si9|Cj!2NvoB?~hX3aq zzw`PpC;xW z#C@7Lr(1-iCz~d`U}`+!_w@5%_$vK}BLmMP7sT1@Q_QhHuUN63^LRLTZ@ryJp>qNM zm*OPIw zWuNU2HsF1huzpLw#%XtWY@AWD6X!rD!VETzdhl}_8yUppXbH7-bbG6#W1%qcqR(EN z0HFOzpGST;1gJfEnVEi(VD7KMgB6@dS;|OTpBChXugZ7YIn~S{{65n;#xxsXuWXn1 zH8O@v|BtBi4#&Fv|Gy-eAwnzVG|@Z})NBw_DeBzF+Ux`FuVeuLis9LS^8oNQ33q2ewf0k6}861Yl>7 zUKE*X1hnTaNOk?jJdXY+=TkKJ(cqiS`^=#N$g-l_O7w;=yth2@cTa#HOf(tqeuVSP z9^6r%XPhvHJ%ndiZKn_1A+`7AnR)|b>XG%$Y8!ZbxyPgDo;%FR_msF_z}~`BbMD1< zmNKN`}qx((_!N?9u-cSqFT(n_+q|yltd*9V- z)!|;;1I1k1EjwTu7P$7k+aBEI6a2#;dVnGS`FC2at{_ygIIl;8dnJ#?_3bFw(1OI? z4jD~%@ZD44YJmGki}8coFXMhZ1BtVhW1A=LufUf|>`#2P7wG;jDZu^?SiOSZGz+c#(zk^XNdjJhc@J7u`c=;tX+*-#SZm(+Uo# zIe7dXafJ(foW35xt{_?&%kKJ<3KhNi8s(pB3mnys+}09+8grOJzJ+KarF)Cjmp4?P zTD6b!;F>eieY#up&tYG5D`e;+oUua3rG0-=@-QP^8PArUWleY@lCvgnZ3Z^R>sL}Q z?L#jUIbPkP(nTj3GdTWn$)FHH-u)mV0n(HFv-8W6=u7L5*7co-;9j{w;BI`+GAI~) zerJy|d{`=*at^XW;s@EYrkc%=Q|FMRJpECW7H=k5y`2^$;HudbS8Id<#{cqEA4Ha& z+nZ|6<2?TS{&C3}8}!p^Ac5k}xBGe=o$F)93P7Lt;NczvK`<34Nq8}92;554%Aa-3 z@aIXe_Ynw#Qm48JlffU2ht}D3Pr?i#@AR|cb_zFOE_aa3+HDDfZ}%$E%3)3%sC2h=Ex|93N(E>^~$zQ&2cLHIF z{00VQQ+SiWm!R402u?~l&-A&=&{);uf5zilsO)t~kV&5p%=?6Mcec1g&zBMH63p9G z`7C+S1p5M?Q=1*I6tIM|r~Y<$UiJY~%ejvad2mnd)bVsZjsRGDIU4Z{e{a~`$U%B; zZlK>}{d5HP%c;N2z88P&21j4mb`(nDd^a=uiUi(^@8f4z+Q=}1?zH!1a{9Qpz;7;i z_(w4Ok{nLj!5I#!bB|rlXX5wM_U(UYNU>nH-ut1W-wQ51P09IwCJJ~zo3HHB2?y(v zhwk>?u2A)U;@q|C*yFxTx5*%$}}1}bBdn^fsw z$s>@zmz)YeU3j+m0~7!AjT0VQ!jDLJw+NpL;Rzu4(*)O);N=kkc?`4XPwTFBR)m$x=`7dm*aP7a0xAYl8Zx@Vxup z$*upKL^$k9<=>>$iU6{?7f)?Z6jTUO{zPwG;QYJ`A+H>XS!2XSpH;9EbL}i2HrhykBm=oTrulVWB9x{xI+;5AQCo@dIQ?bz~KDvLBuOMiS$-1(N=m zOE0(Kyxf-T?6N+~Dzy&&j&HqbSNZNrCnO_6sY9(0*(6fpdRZ!lX>X zfV-8!-8(%T`n&FWNmJvTZ_)F*7#c(1Z=_9#uk-;rr$FaLdOJiOz2$Aa*B@p__74R9 z^ahc!@MA{tE-+D2ldx~q6|^_EIBN7AVK(|efX9*tOdE?FOY;nacK6tz%a|irwY^}- zz(@_fu#aWBd%*{sLYlRD@Lc`#$j3CHO-uCr@V<`YCCae-W#*;^YXmY@l`Z<+7muds zv-&^w2BIc|>+xN6if~`FN-1g95=_o(xJ+f@_xJ9lsxcZ7%vmyOkdv}OS9I@5IT;xv z(T>|6{F=4Uo-*#iUB#BjZX>-%uvimn&UN2yU<`xZYt2UkN3_9s!S~a*eqW?|u;^v~ zf;VC_IoL(gw?}m$b*Jd`6cAs}F-G?FV076>Y*^pK8tMJAecx+8LFI1p}@{;mobLD2Da`Te?wf| zfLG1Xh+fk8f7T7TE z!-)&RXCOK=Akg#lQDBxyZ9;X+GQj1LL#`%$hWMG!_nZLe01*mz?5BBbGgEyg_w(O&hz&cDJ zT8%jXgm0Yi*b;t3!n;NITnJA9!Jj6$rUWmK;4l$<5280t^bv`k3z45Da(P7FgSbZ| z_S3}PgP5m@bDBbXcH8>lMDS7K)lzy!g1g@?+Nh)?Vy?KiX*&M%>!FXXEI-G5(5clC zK9^W%y*aRq=t!_U?BC!?Lxwn8U%S!M@!-$0-}-z937&mo=9W#szFUfc^p5ptSde$T z*NM5I*FNo~kB=oo&z?tfd+g#M(K=JEDvAu5yY@Wqz`RQPCt@`0D)_mloqO@opJb?U zc`2f$9|KW;zjdVB;v8UwZMXRj0S#>kn_32gd0PI6Oa-WcCh zvWJzRDmroe+_})+nOTtQ3lk@3iy&D^i_`DYWgI@i85d>cgRj)iD z2ZI=+d2hreGL$`Yei@0MqauIHM}8N3!64nI>&oBk;N1?3!-jZ|7;7VA*^fC)Wqb6j zZ#cSvvfr@q#3vhw+`5#ml#FvK87|?!$WEXi_n7H0_Jz-6?zB$UaDd6+H;W(QHmCDP&pI9)S5X z3n?W(u(T0q;8xx{Z)>Cl@V1dXT?cije2?y_Jql~#N2_8^lR*ofF#I(m zK~#{-C5vV}&*jI{dW*!vQ~!S_$s2JXT5Rmmf;q3uhcl$OK9hjqt$jxnT>`Xk`VD)! z#e>F*te%8i3Q$muRF{Y)!osVqX2mCQAok9HA^mVXREN7wocxsxnd)aQN>(SqFVEwz z^QdDnr^=-)BfJ#RsdhD7I7Nm}Q+F*72*rc)QmEYAxkPxaefvpwS3J~uGiH?Fy!XCb zow%F&@$k)5!YF%=1Q&2X@FmWTURTI@`DYd9|04C++J{RJ?OLPF^O`8Q9=vmoZaNSi zUuoDRG5NrbRnnOMeoqLUnD~A5qX#gDrn}AIzb}O>x~m6Qy`WekHtwRTEr{I7WDmL> z2M3MRI^A(Eax>E-+zjtMsCGCTgEjshudSW)PsDt0a@47&bIH&z-Ca3~=RT`1-fO-G zFh6LZr2T?vFa}9z<$l2TEdNB?WsiGBW1ms!+31BBPD^r4G}0pX9nKTU8=30@w-VIue*L~oqvBN9CqB0o*!@`$_#agRvsr-{7>F;5fcv zsYo>)o|s>wy)uD$<2&W1XLcmP$uKT`&b}nL*6_3GX+sJezEYqTFBJo49YUJNjnkko zmoDTK?%DW$d>8w_9QIEJndWcBxR>Ob^iw1$6+|;=1ld?p;rZ($jdH>%!1E{Z^O9jI z@TKn2n(rmS-m+ftnpauy&hnS+G;0P(Om?W4@?=8o^1e40`ICS<>ofaB_YCkmq#+~W zp$UR6pK~oG4kD^B)zEqxX($u&Z{#%KLlWC}x%SKZq4F0_LOs^l+oT#J{B%|a*`BNM z7s${7Ca&u@ckfpMgY_s_M$VQ}T0t5Qoi35peLe(hq#_mIBf*~RmLP)DCbeZABj zo^W_RQewybhK&Ff*E8yHq@7V)p4l5HA5HBYbjKV7iN2Gw*RpJGs-&a>*S1c=l&#TISsZDD6tmiteW?Q2Mg=oPdoj9`p--qnvMo%OE=*$DH0re z?D*}iPcU#lZPd)*3eINAe{5g z7L5rV>)=YpygsuhjI}%c;qlzYy=T9}A>Jq~?gIAiBve^Y?an!dcF7LDHo)K0U7}|E z`>G7#)u7-Tf2Iuo4`VGU^2VKzeO{-C*31d_^;XB<{7l|y%)XsM&v`|s% zLf((9Fl6M~Qsx#FhU}7Rb5%mP(FBc5!8q}ECl$8aJ@0CLMuy76NdeVPnc$!HHDzgA z0@zOcZLzH*W8V3^c|>&#eCy4-_S`xSr0ys$803gxKgjAK~D5POV`>MVEp72s$qn= z;L9;0ibqnRxMde7cRTifOuk^{?azkcztZn*FUG?1nmF%)TRyP&X5K$%8hjp`hv>XG z9SQtDTsYe-X>kBjb$2q>~ni9M`g2P1cJ^t&B|6d=G=(!O2X(E?L^+EinmDJKwFREnHlKtG zAr4W)KQiFoh@r*#-gMZpezxPFTn6R|eTscU(-x_brY^BSsnE#5^S2Sd;-3ZSb%Pd(aNsbY=vv zorE7lt@*9zbHGJ%0#R4zf@zC4m-lKaM2}FMaw^J((v=H^xx!Y6eT?R+#y>6KVO^T{ zdxv?F8I^uR_3|*NBu{a6ARO5?CK}m?dqBcm`;*RjH8i+6C+b_p4cwUn4KY3{=%r8^ zMGl2C;+|rnU0!uT$GydNeQ-~Lvmxq8)jJgwgRYw~cag#4)syFXmt$dd@tR_#LISY< z@!-Di6$^}v1}~`TQo-x%)c~9QBv{i=@+}UG03F4nCbJjtydkJu_+lU$0u?^_j{BGa zUzv)bEbce{)4ckV9^YrWrPpQ9b-P3T$BvKpxMJaJanpuFhC8(750&1>p2h{U<1|<9 z`hceSqyE}j?7f?i^ryWP31|H)SgW{P;kQe*SC>jK8d_zG$;gU?0_U(r6<1$i6!5BU zSc`FKa}VR$0FcrddQ)E(ghrzcOj2<_;=bUi zDGkj);FNMT^RxBtfY9b9A?WIXAV(2coB&>=M>J5d+!Ua;Ja?;@E$Nmakm_HJF?zWELQ!t(X@b3xCqk zqu0FcoM$7^ajrMMmvbXPZkN%Q6|HE4Yx5=FJqu`&NnHv! z;|_`!s`IKAy+Gjk=io2xZlI;59M}5v7~&_laxE-I0`HvcG4i4W2p_82+L;rDq-Xrb zb*;mYl3w!anO+|x{)d^zn%fdZ?y>Cq9FvUF^b*ug;Csdq(>js3!g$oe9=>-SKToo9 zuYIC?paH+m-~Gn(D;hpKc34agN5bxs7uCIG_`UE_p}p7u_J5ow)%}daJ;zjrk_qgq z;HhLupx#P?A6@%;`9EgBnq2Q@h+Qh!^2bw=J9FR?PvnzlxHn_*$@3fE73}TF@x9>B z8wUc9-tS(-`@d4o9v)%*=c-%OROkJCLGA)QS zbp2Cc#%1bxQwi?j|J+3T5{GDx#dU!Sm?5IOCxt*xypCnL(QXz4?Doy?p`{o!Gw!Dar7b%*6g0??;ZZ z+3UnVO8}1PTM<=ng29EV{HZ4?2fU71{~Tsa#rYQd0k_wQu*sln!Ej`yN>^%*PX8Qh?=$L_!~3Bt9HGaOz?u49 zmYO0N&X?%s+I>$3(zP3*DjC?z5hK3;AZr42ixrHFM5RG@hoeE#wN#LS_Lwa!yJM+lt4J79 z;2&DhW3~ewN!4MY2d0R=UvL-uOBHnI*b8xHvKi9)G`*!-eiYd@jh}t!ql-)@Y`N^& zF+bd5sA8io98CX(g~~Bto~vYckjH>8#HNefw(|`JlgYAeJ(v7oMEuvMdc7pff!Mk= z(-Z)1Mw@IGv5&9u9bez$*PgI1wc$-je+c}FmOd1arwyO^+ZA@<93B7LpVRvU@%$h^ zXd)jR2N4&otCaA5b9cb?4hyBDz!Unbfb`k}x_UY!lsoYLK;5>L1@n&ACBjYXa85_H zJ6%X>#tvv#6VhjHc%f4qks6(cJ)mWPEu@;-0;s0wNAKw4{psJ1^iy~b?B%ZhSaIAI zdhf^h&I;Otyl!V?Wt|sPBp)*WG-Hd-YW#RLWa9%|W6f?(oNn0fJkslR(;cWPOYZiz zIYG8%zV~+QKa053?k7tkL#otf*BItv*YLKcMj5+-%_|K_O}0-O8F|A_#U|E3A6f3$ zpa4k4aW}{o4)B|Dg2*Y3Rb2ul42HeGQk6V5FU?$+a(2@C_ zaU+imk%LU!mNcsuoUe^M)m*`bobBq$czaxsopQ#)6FB+^aO*zq`2OFO$+KxMu;bYXX)61?T zkXANijCIF*0J2J1E$-`D9^1ZjEio2;J#)%q7$SpFsYvhhz$D20c8}{J?&-2MFNn=4 zV1G*s&$H&UX^@PrnZ80P@Or{|;CU_yZcct3xhg@1r7^h!sro4}{hgfUnwtd0JJJTu zQN}>>a?i$qGoB~rc^~h4NCx*YyDYX}WZWy(W&M?$0LL;D-d@0aF<>p*$XnKgqE`?WXaCH#HeH*FHWup6P~qPARZ;9SVbediI8kX5nx( z&#A@;zdtywWQ>PsguqPOmjK%3P&jdA)zsoe2*_M`Q2o_C7|N+n8*bvgVAmwq*8Yzv z@Y1I??4Uq2TqE^kBpLo(r+=`NrA&o;8Wub^mXl%5OX?i|1pfby9%;TQ91SY9XMctt z@dIZii6p*@o=DKkAk-YjA&iC z`wH_Aie;@B1RU^vH|Ou?`*|^cxIq!oQiZ`a>(0D;<~C4%Ad=B&M=;#_di+zxSs$<% zdX?!v7!Ud!ul5NUXM)R{$`PfP5fJURA}UB52GYf0_Zbob;gOOdmz!cBRC1JttXYM^ z_rSA!mAJ@Nd2c_1@_VoUeB*@2mhdAI-YvrCLU;lQ{xrcgC3txRhl${O5WR7tk4W@f zi2O8>%Omn0#62RhpCSs4+8Po2B=D2zj}JYI z-$N#oC*{`SATCg2kDp9Bn3ZK-<;zF~^}|g{`^3{gEL1nS2%q!Hr}8|k@SL)!+rM)A zp9EYwc&Jk8mNfJ)_UUaHg5L&u1RYwM-KNe(rhqlLI2)T5{WxwL>U4 zRlT9tQNww-{j3L>n8F~p15UN z1nwag#&1i(P%tVIRGDi8Mh8-Q&tabaaJ2Z#+`K5L$z_RYC5J#`kk~mt?CE{Ue0jO& zmO1YGcWyM+dVumX&czqa?ob=HyuQ!Q3!Xkyr+P=iJb31(M^0Bb;pYJ(+jy80>Z0;5 zzM0_-F?W{ubg$dNr88(HAl@Hd_!}5M>BqU8&$|+s`aM9`EPwMh&Ux{k;*gB5_6E*+ z@#P{jOT@m|$@%EBFT_*t(+JSRdGCbdB+zU3DBMT{oS>WCH@Z}w4_~#Pgy)_W7jvh*%bK=m^MA}<@g;97; z^_^&23P|@r*H*O0J^F*tj~>5G{|S3^;({Tc^lBso-HllOv4wr2c{EM)YNvFhqXET=q8xbBzx8Uf18IZG0&*2;_4gB%Ll)L}MH`+?q6fL4R#8 z=glYBr=%9V6nW7ZxdsN!4=h+AmhOHo8*WpS{_3*l<6=H^#@}KypgtJ+bns4pyQGV{ z_ud)2cQ^oDe{qNFx`01o5_91#R#$_zX@!!eZ)9ux#qaf+5kVLQ+es4N^K;qx6IQS+1fnlH`8QxTXY!ooXoQ(~$=6`Bwm^1$; z{egS}e1_|rE|??2FJeqf-4O$+6T9#0bdq56BrDBI6bV>Hc2_*b^QQ41MVrRIX=o_? zv2W@2C}1f+;xyu4mopG$%V}LJ%quwQG0o$F`BdLqv;umuU-#%t!(aNB zc)q+TxX*ez6wWi+Q4VJLgY@apWeI#P7B}48j4W}7#oGz9DYm#j|Da?_^kgKATD@W@ z4UPwTki(W z`I{zRF!#G>BTh=}Y6J}0T+HRcbBXk?*B3Y;7#tt`HYolS2+sPa6>N%ep3t8y%k^p& z*sgyaT&u@^GhbVY4srza%zR#EG!KPsoXuJ3iotMDzgP6_Y#6+0@^+zXkASf289l68 zn9J}ta<#iR>_6W);jtzBh=g~G@VOA40D?bFa7_tb9>HNE_#Q-WoaiGGJr^QBP2}>3 zya#cQNbIMHy$3N*6X$fP|5lg0c@m^?f0({Hf%kg7jCSEa@q12y{mE%M{JqXQzg--^ z7xGJUeV1eMh4lOSnOzJiz#cBL%fKoTS~Ohw@6#ngt=!Ht71;Z$(!OpeQ67tXHjK6! zoSE=CN~?-eFb%G}o@L6MNrRuFVmk{>Fu$UWadF4CG)VFmoy(hH2KLuyuXV=kfNlSZ zjXv&F1=hjOcY-LkfmQ*FP^Os=s`PsP_5}8MM{`-`Q(CB_+uhsyROVD*=Y#QcwsiY| ztvyUe)XfML(f*Dlzuk{sJB_I!N1O-00R@ydB7r%3@#g1>5cr^>l#$Zr4}-hgf+hOG z!E4(aUj7Qq#bSSd(=!2c8SIkg7`uX?Ja^==?k7K>WuDZ1x9JX6V(l#t*n{BHhbux^ z)LQU$lg3whyBBa}hCcttiud0y-KXapJ;CFFDeZ-^AkZx+Qi=F$0gR5@N87Pa;B0eS zp_!-$)P->IFpB$tHjA9x=Vo8Ho7308UTY03gD(?Y)I5<^eMy|Eus@)za*GFxc2GI< zuUwip2vVL@?KBb!1lw{PX2rdwqGi9kbt{HI${PEAgB9L6zV%WJLv5=2ibME9 zkgVd5!m77>A=-q#pk+D&Qe^{~xE8So_)(sc7v4{wZ!71WXNUzYU8mex1H2#NuraN` zbLyyr^6)}<48#}l{0mx7hEKaspNljnfy#H!iqgq6;0U;P{Hq-qEGZuz;tPoduAgRN zdy=AHbQinU&d?aBe9N*emK+PeZ}m|>6!eC}7e4MCQAF4FfB7pju>^mlf7+9obNcc-Zf`cc#y_`=*!EvR;1H!IJ zFzi(s{oza&%6!Yu*2V1v^WVj(_}il4Y`>|%@6ia%LpIxFqzQ%gYf+xp9*09@YL26B ztUvUn3Y(t9=i8ZCs&#r(ytg}}(^;&T3V)VZmK{c;VDRI0i>QJGJa5z6(j7~N2T$$7 z`msN^L}iRQcsKTRPo_^^=8cB^+rtIL_ISa=D@R?=iE2VsH1lly0Oof47DS*6PLRpb zG5F95`>QV>6ixo33*lKdD=EfIs3O^hF-gP%j(iD;7W{4wv!!ffo}zmI6&0#o9yA4> z?X;f8szz}5i^xPNjVt(@4BBK(8A5%~(z0DwBCKo%3$eGygI;-zWfZp?*d3D5oLq5+ zZhfO5OEY_DzT?zbAgKlK6x!PF$~eIJ9q86M{O>7fqw}MUaDh(mfR&~Q2RJ+}_&q?) z>_6W);jtzBh=g~G@VOA40D?bFa7_tb9>HNE_#Q-WoaiGGJr^QBP2}>3ya#cQNbIMH zy$3N*6X*2iK#F{5Bi?5P?$D=+ip6{5oku8LV_$Cd`RB)Is5zqOw~l$-{494)6yf`bv?CupPBW09<6tRI zpbi=POCyiVF-8Mz$;qpa@aJ>8Qv341WqsrzKAioo!~!WCZF_rD)dq3i>YZA0bwDpa zWtLf`N20Vrk2TFnMfi7ObZ_Dz2edd4aV&P1HOeg1Y?!okL7!RnJQbz1MvMk4aqlY3 zk(-E0Ed}o}l`MyNyi3~ihB@@y&-twn z`mk}5va9#AFtQGADZl<$7d$Ppyt1v#p{`I@_^^^Q(yyrBThd|$ma2Pnt%h_#+})!} zP9OUzp-t*BB5vfu1 zLNF~2D!Iq0baBNPU0#yDK%=II3Zf-+JWY-wfsx-A13aD3%pit9f5L(kl`d=Q@Zo~JfmCKi0d-U|t@4+8C zn$nDs^nG@#^?{@4kn*Z=Q*1cmEmYqZ`P&hlk4{t(;_^o?bjRnfdVAve+m=pEKnE0y zX8RMmW5JJ=&q#wJ7Icoj3W>6g0_BFBt&NRHh*dr>Paj5|A{HhGNo5er6fO)9;Eay+Z(~X6{uAfH>zQw>VMGc0M ztC;tP;si|_qu~bdt0;brgt}*q{$}_&u<=$wx^GV;glF^b@e#$j6$^nko}^5iH;i=~ z#XZC*=^75b1vfZj=B0be(;f7L>A970zR-;ceOf)?3T7GlQ}toqaQ=-!anL14@ROQW ztMzpO@;@D|y+=u)e0Z8BG{z5jOSv3R?u`K$mTY0e{H`5*sk^CguhEZ3N}}}y=3g7h zb%;;;!PDjibFNTV$SbKEWY+e_zUq?HhppaVGhof{n;Hqi7P&gj*av>+*$*#PBhFR-l#08dNW24o9-=d}lDfQhTEMK$D~?jJmblEvWN{ z`w3$|-Xeb}zhY=UU_=JTqG=U7^K5X67J7n3C~z|Hp}T%hFr)>1tF!e8fZ1oK3g+(l z0=0zQS|jFnd+Hy!bx`-PHKRD#t5ZOIs3abIXN&6PD7=81X=XI`UJ8t78QCy(PhYV4Gj}4~5i;R! zBBx_td{Kq<{=*P`HsqPIr52i@yy(srEQNyJIC@%@>7b2;{e6G-1fzzIcsEB2%;|b7 z(vo0kg7*B7=uAzKgojH5bz3V8=y#m$MFvSL^dc=cm?cIWKA#iLocR?1)0brLKgI8b z&}sRXF+Tv_yNtU_eej0rYfnE4y~Vus&%ULMc0n*cv_6qvNrGQ(&0qc`VUBOx;th8t zUpNxcdR1rvbGSpcSS(coKtVlnjEY$Vnua8rQ(w4aPCW}%r)N0K+|-_P_}~jcR+ZHU zMFU}F%D%loP9J`I?8Dy#cc5)Jd9eWd5Km@6d5mI2rA^ z7Pjh#t_?r9y<-EwS(8~W!IdDl2+I3)(w zW1kL%9wI@4Wwv~KC+0QxOpQrL_+fA0or_NonxXgXykeUhrqJ~u>VyQ7BdYssKP_Bi zi%9P)SSw5qgB@MQ{hs+?6vh}YCmDFWU(HE2}s2!&k(zsiuL89I=^ zOIPilKV-~(OL3&s1wpN+ESzzE$Z&m^MF-}#M&E1B3;uxpySG@IqzcT@t0nncS8SqC zFZ`Xnt$hr6?{$;>AP|mdbv784Rl*Se$@y9vZ)%i69T@H48x4POUf#eB=h(@bba`s= z;LgPQzEUL~8b64C_w7dDL;K-=7!)d z;fz%Dd?{Q6lp`Rs{#-y&SR4en3EIm#B|_x;b!V21a2Qjv9M_zW2C19@C%%0oIFRe^ zz=ye}Cw^{a4Pjnp(oQcIVc}HRZBlNCE2$pIB*;lEs=dO*=_QW#eth{|mE*a(}@0#0lXJIc2{gwt-H0ahO{!keAgmThN&F!?V zVD3|#n19j|DBb?a+{_Dx{wpTM=UYj*=U?jbz)uRM`lc`(HcdKZ*eU^PjTyL!+Q>Ki??*2nhr#mYBUVV?n*Z>Qx!O z4|sn4gF$90o?~WX*3NL_x#XzZjRT5FP#F=jBJU9eJ&JRWjh69!x2TW0|EBMmx8L$HuUNsjfL|bwHulbG+PCoEbOQS>zFuEXe;E4n?a8X8A*?0354hs~+wXJ= zm+EW>2!8H(;#8(TG~AB9AAxzx*+Kh5s$bbbTh$x3_AlOGeEI}s5%x%aT4iS|>#)PV zm{1AHJ3e3)HC4*+!3X@yaui}CW8meL1MZaj++g}odd*eq0Qf_-`1+nC=Ey#ff4O5% zC_Ildpy_+y0W)ro?igeK!NebdIQM7zBtRtdIKJe2IdQDdJ_@KBzfsqiv)6%zc}H6YxYX#v;wmA$mf^MKn+*((txIG6k5 zEd5c>Ku8Wu80VM>gwXgC-nAy4P-~@G^vm8Gb8uYxl=-}%QsL{>e@@Ngh`y{O{gb)bNdUw)<@JKQE|y}&Jb z;K*Va<}4g(m>z%b1HB6G)PGL8;=NF*oIc*)4DJy!9^DrKN!cIG`fN!+d&uhbb9~Q5 z>CS6SF`o?T<=IiK(#f!|_Z*9ua};bnTKo3wnjf?Yow?zR^F+o~L89zw&QRk?`phJO zzi*+_?{$1*ASmTjhN6@U+(mWw#t-cSQ#UQvfA?H~v3_Z|4D$0#3P9(*tJM!*a^PM>WzK9w%1( zdZ}#%?1>*`dLA0WK!R<=aH0|@XqSmJ^ce$iY^z%SXay{fZ9P+B46)yf2 z58{e*g{3E%r`;bXfiA_Dv{u_BcsnH`9A+*1pKqM-*b;t3!n;NITnJA9!Jj6$rUWmK z;4l$<52812_kVpvqUS>7r-@u1k@q0(5sCfue|wMro2Q9$nu)9Y$!pg{U`#9l&RPe! zq+v%j=7Bvw*RQ-V561fggTfV=#u#wco%@|y77Gm88MA)_Xq5G;_ z0tDXBb|&NB$C6icuovEwo9~hSV7!U{x!Ca&op>Md!R+hp5P4nnJ-tOE=Dr>}UHW>6 zb=4SguE({C&UvEPx7Q7vjoe}9OL>==)8?pZqcIG&6oL0X``Ymk5m@#s+0mS?g2Ja1 z4pAvs!)VFO37t>JptilRtg^`(vJdqM(mLBhQ8~BZ#T`aa5Wo`9$%}KRd)K8>IB?%1 z)FK<)@bhQm^~D4cOK1+N9NaeV0R2TbMta$fg0j@avf`W*WEGgarui;_E~b?zzdB(H zZ&yxuau+YTWItF{o0FkNtE{UUP;_s>~+A{06T z+B8;#?`F??IKrVz)pr}TOkt*pX2-yi6Vi#!G^(<+hyBA|p|>%o&M}1AY^2c(H0Cn$ zmo^;1mZ_He!F?;33MdG*?>q)`ir1Iln|XrSPc}M%`z%Q2fU4jV{C;W?T>A&G-{MBY z(xtbjy+P~gm$-LMevr=G@xmQ@f%hhw}>^nTP&H zz_@ySdN|$#NJ<-v{KfZ`Nh6ON-1w5=W=eRDqDc&>^Hb&~;@tH^7uSP^SEJy`6K)gj zmvPX2E#YUtcM_bN()eqJ`Aj)IF^1Kgr;#!{f55hf5uoYc?%7N(;V1K&O=AVsTgl-LzLRghG93)L^v^RLd zX31{)a29R&^WmkA_~TfZFmevN}aa+*{O@o^Aelk7{wmjnU|=d>DU zl3*kEfuhob0LT#CJ6RlV3+3fyb0noe=$Fbi%wNa;ZtI&8t;(3A^-nB7`lKo3?3ztI z9UKD5ehcrmh2q=*!+~1)Hb3~v(OFEwIqS0Ic3aKews2U`BDwHtC=`gaM@aH}fl{;e zi(R}v(C-q|Hy;^-_wq{VmvApX`{~4iJ+v`U?A5vPZaoGJD-GpmPDFylz(R>Q{yj{0 zC;K(yp2g|e{rN3v*we&MttBxU0!I8yKU*I;!@o6N`AkatNH%@qL2|ps?-6DK0geQRDPZL~If|o~dmzp}!sw z?Orc)Skns*pT}Hg{Jy7_V^eF@qLA}eF(dM2sHeo+5?K=5I*(op2}5E z$Wmi?+l4<@Oa*_&cH}TZvgiI1n__X3 zPxg=yWhRqKtq=V}p5M&%%^@K#d%Ce3_tCkUsQql`HI&KX`FZaTqa%)jmvc`CL%!qe zUbRCZz<;y!n1759@XJ{$8ijhp-`k43{geSplZ_r4!cIPN)14zvd!%JEvKY;Sn0 zeE+g-g(v*@HAD7(hCM~EUC*|haR&bry9tQquw7BM#rY=k4VJw$g8JTI#dLg=UOU6%up^s{5tt2=Fx(A|F*IR8ka)rYUm z{2dhG)X7V4TT?6{Vb9JR#lMH{e>z8_7w4*vp4KM0Jh0V3XF003_2^ThoY|vE{R>)1 zIP7s$(^D1bey`fWUWxOz?86~D%GKbby_%=;9vjr$`PSswm<7^Fsp6?9I*R0rIwJIV zBtY~17t>N+8)U7?XkPqK4z-v)?tUg_kD?^%`sH2h(Y_ve1JCy?@MjO6zk5aCm9+7w z;sz_EeHVYWg!lG-4Yb)Gvh-m5j(SB>z9>SD8qMR$yO6~w{XzQ%6Wr(6L%Fr$23#?{ zDOI%A@Vv+C{{PNLx9fqTZe|Xk&PttD#9;;X#~EZ@pB;sFQZ?Lqm=|o`ZKztDqYIB# zTj#bvH$xIu<%X#j%8|m|y=l}ho@)&2CQ`q#J_?QeeYVH&e(b{F35wY<-1i!nn7b;Y z4!O1~(r-VT;r`*^Tsf^XY)?8d$(vvRw1Ravbc!5cMnRhMvQ!27MU$*?mC6u#D%X}f zhT;Acc`@OQmlu4kt&8?=4ggxsM?4zZ!SGS_!iRlcw$SX?x{t~T@5}h8rpdBLVSTJ6 zK*Kv2;wr9teDMo}2M_o}Dc9XVYRtGMLdydl`x@+umv#pswd)IY5D7i!wi?XwoZd2_ zq4q7<6g0Nayk~lY`G(#B2{N7mFetmnfEjbA+JF3BO{IwjnRv>N!9vmSMdwkM7f$y^+EinmDIL=db=HGpE5P=ghUgfyuC!{Z;S(yp880HEND& zr9gbu7Nv7H?uYWj$R3?+2-T*LlU_>$+fN3pX2;TDY=7_T{W$O4JS0gYCXxn%y(i_x z*6a|EZ;+h4x&b=s^vmy#gEDgeA@)AyvNfWA`-{0HJR0@9&)I%q-V9QG>5T4uu}0$P zl5F^CJtScFwK3(H89MvDKm}g-AoWMFml@tWq1PN*H(IVoK;a9mpHqp^a6pmbGgDwN z2)SyC=i~fF-GlZn{o)8%TS!tBnhk>Gn&{(q@Ls2ICiu6cW+Ow_v5wtN&zpH&Z0<~J+ z{@KUl51Ql;d6`01AkDV!|L>3=*l|$2O~-q;n(N0N=;6IdN%(dT83!#y=hpN)yV(Y` zKK*&^e<2JNYoA~Gtl}nFRBjM=EqTko6s{yF5zCq$EjR#`zeG}eyAQ?SMo)Y+Y z$Ok2l6r~-}AtS-;S9~dj(MX*4A-r-oj z?;l5^j6{VLk)2ugKJC5t9*@2E-Xo(V2@z2wWrZf;PF5vCRFYLjWXnk9cm0mzdw>4! z$nkh^J=cAn@AvCvJ01dB8&aQXnuCDCfLw6~Es; zeU^BQ_CHgouRhRX`GGeH5<=Kl_2nZVwcKxY0p&PcFPy2IDMQ|z*y6(?4MDJJSbQq< zEAkY+SqlGAW)1D<-gC$gIY2+5vF_&wPq=Q)fBlnO5Hu$v7K$~>oro5El)35wv{Dw; zpV8M*;K-w{MZGPZ^V%mB1j1m_S$DDer#~onk(q}~#-RPFN}p(|C??mHFc_Gq2p0B= zZClMDKw^|vm_8f?5wyyi+oY(c{e=DyMMMyM=hJqlWc331*;LU?7#xt73Hy-(>Dex_)5lS7 z*w)uGCJph+C}}$-P)?S>T%#TE)EO%4>*L;A2SCeR-`OaXcTH#*vDCNmM;=*@o4@@p zz=Y0=W0Rq^Vobf$J90m)lf2}RVQlR&UxrM`)F9fEvWnMt}&;~|9GLGhOo(G67)q4lIdBF{=ePD$&1(Jr|CWq}LfT8S{ zUE(k5Q1PBY4ZG_JXRg^zP3oY2zlaapkS_Wh`=4(d_t@foMBKZD`&@8O0M4Jrxu!TT z59cu9d=I=gj`tDqo(rCz#&dai-UHtw;`3>I?t$N@@pGEw!c{f4(m3#s6Bb_GiUNBk zGAc=qSa_J}Yfk?*1m4)?o<7@=1c_JSs8l)1+eef6r6I4`-yU-13#cD(fbnD6v+D`) zuZ^^5#^nGuTvjG+&Y_8gMT*G%Bv!(Hkd{29s5Qi*ADkSb;PS&h3*Nq_V_}8%cs7^i z?;2sXcVpaTvew&H_3JWZ^aZfUM*R79?0`Zn8$Y0pdi@X!0gxd&7&r zNjZu|&cJ$wPI$=I364LkF577KfgGl_tlS}YxJT*ZT>3r~ZbY!!mq@yxbC*O{qR|P` zZ_C-RR+&H+wUj46%D3*N54JIW6T$98(7#Prw}1db&&WRybWb^GapoYJuQ@){jwMGq zwfFCc?)1>h!96#HJDPMhu+toEW@3)+VHHbKQ)jJUZI$hhv#2dRpFBJDHbVq)huP~U zyS=b?aeXez@6dj5JHmy_UJXby9yBOTxPdr#CSP;3D`46DrvpqJ;nv-S&kkybFqU*5 z$4>(G@OD_Wn_7l|y_jp8mELrOkzmWKgD>6S!SQkSvz>OpN#<5SgFM#ywcq$A3xlAk zKv$&<<%FjU(-`F1oFP5`mdlAu7u1^zHbD_COmp>~OMIm~oD@IW@vGkv({IU(?Rsj9 zcCgJ;?>5oar_GTKh3t?r4^E7%`0%5U2+GSqQ1M)g)GxY9< zgL88tX?=SbaONEUk?0r-J%qNWf**aswY`>69+iAJj@q64g7^*E#F9k2XkUA>Vn<3W zIT3O~q@}!0g~5~Qs}if)DCgnz=hsWbpVpEwWOADcMqGLOL^E{06rHM}YDM?e#Sb+{ zrcz?Chik_jV^Q8*ot;8!P9g;EWbjeeilX_nA(cLF3gYH^AIbf861{)K1qNvusF$u> z6MlU^43dd+Ka8aZLj!Fd_1=eA_(Yp`x*#tR3rx2RPPu6YYf&{2|D3IH3nuj5(=Y=MuoA>#*= zD@?XOJs=nC3~sr_*>}i!MT6t3z}~w zFSVDVeQR}knTk|M01%sBs|s@V0nb+DA~U{=Fuqljrm~+54-VeFC6}lRZ}QgKJNDdQ z^~iYBVPk;|V{v-5LpM zKb8IztR+DtnTbe&LL!_xbav<@56aoMH_Hz3ML{+nINI4J!ecYiCuFpmkZEDpbK1q>4bN_*(*obefKYRiLlvrZc-!2qDl+2u9oBz zYfHg?b?Y{PN(?0Ur}P6`0XnSH%Huxyg7Ni&iFcAgP%o=3MK$6N1#!Bq25atst>*pk zVhVr(ZJpdKVIL^7Yv5)th=lt&FE7WQ@`fwx`oB)0`|PFBg*(G+h`Xl4P?03z53f3% zh`)U|hCBAIYR6Dsqwz5H7imH$2=eJrABzb9qw1a|VmTkkoY^fK>@WfHr@K!wwFpqt z8)rEy?+VvD)`@vIU4fH?A@P8;570Vrc_t!GsxaTx%vj{bDwQV+eS6UjYL8pBtn%4_ zq4UIUvtI?&)emgF-lLvZPlBWrRbE-#J>cc5mPcc^~it zea<}2RbiB9190e>3Vm#h{CZ^XI^L?YgW8?MJ6>-Xu_s4Ua=OtxGP?LTTgx4kw=Bz_ zbW3r?2$DvAS27GSok!H25wAkP?#MS|hTTy3ltj@xZ0rPU&ULg;8#SsL%X;4U5YEvsA&n4nS1CDS&> zQV+LBy}YW9^?x#FB_t_gRf~u7zl4gy7?a1D#fxrO9ShB|`+Ka|Cu4_sTW1%nD}#ld zHNq9!Bc)lF9#DYQz^tEND?`DDSh|)WA{Z!!35VPfZ(%l2zJLYgQuXTuW7!dptk?Bh z*`7S=tve)z?xGx9uHqZNX~a7!A(iuAMY-2!Cx#oB<&r?t@%h7nwHV~9Xg|~}838`u znfjfV!ohH=Ofjr93P{B)=Y7MXfV*<@z_l4akcr=>*E^Dlc{H45P5&GM^c4!6rwhZu zZfGzK9k$>qlGr|UEEJ4;KC=Ef6$<7-l)?6v5zwZ^?^wKs^02E+asz0OZ`b(BiP5_WhZkTQ{>iT*wrsS11k!Ht)7jwPS&BSjPCGs+KQUmwCG(U1)5DGH89cSC^8Csc8N$OVY3JOaozJRxdH`HcTQ+B=UJbR0$;5!G4& zo+1Xsv8W~5_UsCP3iBjI{{$--zti>}lSg^*_qzw0nH=El1o`7NNmFq2iX(ee9t6xU zKM2yGIpL0lpWCx+U+~_KB9|TT2E!f>mc`}>7=P+7{3$XOem5wQTcX?{-$t8e%Zos0 z*zD5sM!j?!+QJ*Y0?138lP8sI6978_+LbF-D7O^RbK^IQMyIA>t4h24pEC zFSfs%kKX^!7jWM=?y<%Fh`4tP_qpJn0GvOKb4_tx9?oIH`5t(09PcCIJr_Jbjpy?4 zya&EV#OKra+ylQ)OY`BOCk>02DVB(C*Hd_0x&ZrTL1VS!)ANLrGJY4@Xo7_S_$!PrbaC*k76jVb^c%a=qo>%zujW2`wDS> zyha(VrhQOe>OHk{trx^9hW_$SMLy8C?(un(K|}wMxD#an z=*s&?H>|tB-PzRW1eE90K4Cw>(`*V<(@cT9h0Y**$wN!hswVtd*Hy#)_DAPF*e^OZF@u`W;6cEd?ao>82 z_N)f2ie)EVfn}3y8Xnk#*2k9`&mUNTeUyy)rC;dz;bXz19WCPgDNs?-A-=s?S=df; zgcGpsy-*OXLcR{lw#C1cN^teWk4NJ@D)2(5-quCj1&r?&QdmZ#5vOE|xzS}eV9^Uo z>-07QxA-$ew@{ww{`n0igEn;Dur=R_K|HaL0ljVAJUh^eZ5Iymvjh)Ttv8`d1W4l+ zt9p@w=I_zl&I!3L@S9i3j=#Vi7HuC-`wF1`86$&uj|u^riVTRW%j2OkDD}}@VZ@CR z^4EN##|JNZhU{xa9f4q#%76F14Jh0y^gsPZ1E_Om?YGOU;OhCT+aenQQ1ZTVcPKyb zKi@d+vBmv}xOWTpx!|4voIj0oO>tgc(f>G1INt;BjsMq2{9n%n&rjpIJUs7#?-B9& zG(Pvh@6-4>T@zVs`=mS)^>WvIuINU=&!6%_@eiUQC{5wt1-3ZY^I4MjXhVMw)%ONl zBv4;$okB|Yq7!W2=olW&(1Wp|izNNIDEIs8j^XcnmN3#!t?6=J7L0D){P3I11;o9R zmOgpN0S#Zl7g9kBxF038YSv)@6E58&ac>-evtj>}1GfVd)=RHmqIZPiG3VL4mpvf7 zn>-$QgFgi_W>NobI?9bYC7D5I)iF2Z!@B&c)IAgUg#&PjtEwm%@;Q z#q@C)Jha_%*(SJy>^}>IZp6u+lxGXI$#;NL>=biu?oQBqs?8JL6M!^ZGE*eb8Y(9k zO202Sz-`77h9GrY$Yp$_Zt%(h`M>wOtI3g1$8&qho-Gno?$)T15l4bn&)S#m5Jw2z zfAR2vGYcgA`M^dr=MSMV)yXK!4(5Ee`eT&>Y zYt(zWK5NM-5)Qe)nqeKyF(kqXyxB_;P^T6r5t14WUq>B(O%z5!^SoMu1A9EgGaE;^ z6Jj7LRcnwxFdS6$KYSq0kAe?Py;}@Xv0(MWXQ$O62CVNrqdw}5xOY4UZf~$&!;Uc+ zkMVFsf&g=fTLUTb)cc(9CPf_M%N8XEq!5qw@1yL6wT&?F_0_$R;g5QShs{p-Ge*Lf zfXx!qnFuh8DX|*ciH054x$zHq*;uYE;lycl{(d*4_FFaZ2L|ow#c#(D@2ldokhZ!D z2pVY19~(mXJ&iW$-zcxi`}TzB=X7_lToBh3HFSWaE}`{K#E}r`ii`C88vvZ-XDF(D zBS2a1U*Q$=7@!gRacBzV9Tx&MerZ_711lYkzC7x!-{~%xE=zTV%rutG>(Np0*#EMT z1y49AP({qdA4S|Z)AW9aMwBmak9k2(mjK~3X6EEaJYX_^bnz2Q3?!d zd6ZBd`+_vzCZihKYjN#uzmE$5*~DGS(<6~^^JY%pdFD7+&Q7-vIfgv#8cG(wE@VUR zmyV&z4~QH0R#?*u&1rTDTgDpVP=0duf$nueH2i*XOoRPk0zAyAWaw&6fI}PV=3R9D zkobY~eTq>mn2=FD^2mz;Z5@H_;hbz(e%8mKrF|Jlb}#Zr>bt^m*PYo)G#8>G1f9YV zCo6OChm#@VlRq6Nrqw!=2sF17dDp`;fSKyar;_*tw8!GSXY#CjfgD~=OW~1 zpQjV@iPMKJQ5i$WeuQ@GC;_A0`NVR?!3$cu7EilU3ITuB@BaO1Ge{>lHmJ=og6M9+ zi~q<>um_*+k=#zw!19LH&xiTO!21@R{b+OTNKK@H-Glp%NSp`FeT%(erU| zZ@g*3kT@D%F_UW@ijGBlGM!fDqzH(NId8Zv5(=G}>W+RW7qdqio4tHE1Wc!mSoGc- z12J8;`P`a62su?yd_Ca~1xakd{~TyQaG`wT-2G7azRdM%6=23Gtf;ldGcC0W4F|9U((nNg(kXvx8V*?xOF%( z>h*Lu{8+lT@G>C+93-?g7191HUv7K5Z`KeT49r#N*8Bh)m|LHwamB1f3cFSB1^{2k zJN6uO9ga#qQe4$TK{%)Tlt<_dvM zTlyy7Zcne8q)pXbymQdPMgR zX1)-?-DmOSH{wC%|B3!LlLY=PwXVIKG0^BmcC|wrfJMP}KQ--7<{0Ct8b3&>Iq!y^l@Dg#v-| zn{jyvdJZL$m0^|h14XNRrmOrxpzHC@tIn;YcF3B4;Mf7tqm9j zLgjvYeW*!1WPht8nhZ9dMSA+Ckbwf&WO&S zJshu;Kr_KD3(lU|_TAZ!gQl%F4As6Kuwm_IVB~w^?D-eXIM#MXR21C8{-qkx|C~ur3$*s_Ue5H5)_|TAsg7^-LhA!g7 zY%_It2M=5Vt-~=-?qX>$w|8hSfM5!@Hb{PUrv$+F;t>BV)ZfUe)sw2WwgQe86H1;3 zL2y9D(5oab0pb!@_vW*rK=}1qbRFV?DN$5kIV0x&pKl!Z*y4Uf+`EPQTyReS&Y#A) zrZ_JT=P==X54<;y_Yv`)3!b0Gb9s2)1K%U!^J#qUf#0X`b6TN>g>xzUA{?18d8qX= z6&8fbqck+)L7|smSckZ*BN=P<#aBXc~_A z`NLL4zKk=q6MU}ns_$EL!~(gy>caB;;H+|KvsVt9>y6hPJc9B8#0Mpv)_hPe<-p0Y zB`Y5gJYCDc{?QWkIV9*M5oa(`#_bfEm11u%KK0c?`Bmo5M196-KUiXO8q28i1m7hg zehLo{;P`s8UmEq8oi2&DWr{_?v%_T@gg)eBvb1q3+VKSm+F6+aUp`Da!0crX9m-vn ztM4@y>S1e}G^dwj4X~}`E(ZZy9WeP_nR!9l8=FzMb-Rx}6no%lXe8uu;KUrWXO0*waJf zD~WEB*n2|2T)bEiHfYWgN7)M4$1=Z`yS4$C?DvGzW_$ryr*i0Pi+mB7!J1juQ$ry{ z)nS?hd6bM&+;pBjj)L@+*>6IxqmX}@+5GaUaLBZdvdue+yecDwvsT)X$Vb6_u#*Vw zV;0WPxQ4`nM*)v`fHe1lGedVHd2Za^&YiFqPFpp!N#p#;CAf`Y8Kb<3ietbpgEjmx%x^f2I@J9TOifi@y zm&2guD_>vX#VFA8c&i;477GVznZG!MML?3Pc441MA}l26kVO8?$4p~&c?^>s;9_S7 zixpWE93H!KM_VKeq>nKyE3qQ~)8mgr-PIu=)5T5y5bf94o5M0%5I-ijuUF)r4FLx1 z?5b@pC&R3m^`jG51nd`hNn|5_Dr0$88tYynNXP8#@!U*+qja6~5uNF1vTZyp3gZ@6^<(?m1Icf`sy3eE?Dn;DH^In6OJ|O>C$d!GU=wRsD*gd(E z76e`@nTd@SaqucbvE)`nCY+@qe(Q!Ij!3lg*SU}|m>*7L+prD-`f!@T@>{`BdG^4R zo<=BeRzwUoJqw3V9@Q88>b#+myn%=6WjKhB-%#X3^B+C!564K7GC?40+g9s&1}weI z%x6q;_IkbH-JpKBOGJ}qAH2Z<{asQ&H%12xD2 zahd=15%Hc2o}b2Zd3fFf-y`DlX?*U1->30&nwNu*IW{sK-dbO!Q1}%OH`f0d%6?CU zpK}GzK2cb}7{!xQSJ3=GfN89rW**HCl5Sd*6PW>LihIX8pBZK;5cQb7-y8JUKl_>Y zh`?e19kYnCHJlhAr;+wEg%`4}stM%CmlrkG&0b&(BLO5Aef>jV#ra3e-g*Rx=s&ie zLwgBtj?ekItNvg+FIjD75f0d$PtTNQLcpk^q>C5%h`o>ebt?HC2rt-W9W(QT;1-Lr zsVbcp+;)|sj0r>gDHYAS%r%JfT3;QL=VB25|_2gcy$M2Z1;R z2i?Wnc8E9SaP+}f4>;;V>Gc!&>_ig0)FXxHiJ+$#5k(mSurxC{)j z`xVs{VS@qiq)UbTH@cte8~UB$?L^#pozpGm?Z`8q+E(~1F8~IIE#4lyPXM)m-FYh1 zJFX*o$$nr=3ZpuBY};=u5YE2b6T<%geoJ;x&gVt|RJEOYVfrips9!$||8gV>vW|0N zETZUn^~Ocb9+P0y(;QpoM0r^$+HnKNMrF7Xz23u)?&BYpZTDU>FeA?S<>W_Sg|L9v zuN!n|kjI*&K0DQzfaMLO_RF^VW4th0<413ak!_6Szx;xFFAJ~V2nR+&ljhIRsS*zu zIu|s}^j!-JWrvoyMrTm3xAllCMt*E6&EUg`r*v1tLq}@}<-hXi*%nCIAZMAVxB74p zERHe;naP_G^1X48&kH!q(2(~CJXbm7Xjwa5b_Pso=|UtTR5;-9MZ9B%oiuA-#Cr(4!~cTjOgIpovti_4 zNdg_etfx&SAp&9(ZpY?<3+p7d$_W z=koBp2fjzd=hOJy1HVt>=k)TUE5DAfAU^x*4iArLJQxjYP&+n}VAdVSxAi&rF!wzQ zilzc0n5k1|asMKLG3vjK{lnpoxzh|>WT~RosL5KP9$_+NyN==*o-OGW| z$j7slXBc41i_#>I#RakYzkR6$w0D!D+skL>@kc%6;QSkk9*}w9O*W;H3vBqRs7oC1 zMLf@_mt4qq_?QZUno&>c{<~`p=5O4Q{vQN@5z*ScRvQSEz9!p@?%6NxZVOnJ z34zP==MM+x?V+wEI8-^`4|WLlS50bNfDm9E?sM23(w#MjIutdbw0SRWNZtX~Zs*mK zjo5&(-d&Be_Z^_?Q5$8q8Ue0VDwCz>+NSmE7j3XAp`p)w`UJ?e zyh7!C(i!Y8WMlm%^q(s!Q4ee?oBNLe zZy@%KhRr|-ar10U>YbBP{ehI@yEPHo=SIfR)H1DFg2tb7Bp*JTV)I_h0qGkyD0gLe zaKF+OcJy8lamS#&RBvsZla>dRr@R@>c&v#%Qa<4x)8zuka?}>%CM1AWZHl9H)fqdv zwXr60-5xU_<56!hv&5vsJH86;YGARI&pyO@24HDNK8ahM(8nqr3P+A6`CuD1&Sdj) zUfA1HX*!eD$3dp4U1mrw5DeZOF5*O-DSqj|Hq%ETkTOASP-7JWAv4A&a>9b({W9Af zwox?iVv!yCbtD8h?=ZFpbHzZ*%j_S|P`~hF+KChUe~?#6J$rdk5qb4;2$R3i*ZE9W z+;M3;5bi9rF4tWSfrCR1+(+a?;dW+taQ~`pTDp<#00TNfg+@PI~knvvDANzDk&zL%GUWC!^&>IZybT;JkedaVVev{VQIv z-~vCAb9OvL{ot|c?V)NhTTq^})KQv>g&?w^GLyOh&>I^0TZel3_pUuZ;LnfFZ;olZ zQKm=;8!3KquPzbFUsh`vF9ZN>Q-)*Hk^_kD-Dl}SJRXe)29x22USJ;~Y3MZ@4mZ0= zUy2S#L6O>FSFNjo@Gb6s=x+mOaQdt)<$>lSpCjFJQm!}vH*}FbZ3Qe`NJSje9#u+iHrNJ?knV7g3`#1jNz~_uz-)5JTHTw z<>V`4^IDWMkXgBP#xM|Qo(VbyqUX23&z^miLm@zZUgpWYOyo1T5VBQl7z)1e6K^Ky zg5eZ1@2k1cOK?K&{P^Xo>2Pj2j&yBPAKgo&Vx$)Xz`mGzlmDj=%6~niVw1H8*;B17 zd=UX4>0!A=!KJ=V)?lTYXH0l*JK9lXE zJ0AmgPV!J6;0XZn^xZPlZmxgCFDle0{U4mUovb->2BqQ_02d13A6Z0f8pn_{lY z+iP}c?`G-#V$`4-<=NyT{cRCn!uovpF-t3L>}`mRiBq5}q(yx@RaM~+FXDFN4kKP~ z;dKE~O@kotX-*#BTijRZoo#;q#slT8CbGF*^G%@Q#;zK>l_~b^5yjBeI(1C2#`hbo zo+`!~pnXVKRtg-fnxDSA=z;yva|?{VC7o$PF zi+QN3DhY@_o*2uLjfci0+CD9!G$<8UHN2;kfPCr^T>gc~ujiydN2ePDUK_iAeJ;i! zZ|&@p4xe}^y>&}<5<`5r)ehR@yEm|_8O+6oF{tm|Ay!XzD+acw&M^czCV;Unw^XWI z1k6}Tww%t4gr34Tvm;$7wLi>N(X7W8_QH2>V4v?#=$B^*iJ zyW|NO$(VuN+i18Gd)V?jaX5@y$~?dNHxPXD>#Z0ok%z#>@-CgMKk$n%>7??6LHc(8 z&81!!XdpaK*g2LArSC)t`kzovr6Z5~&{6_~^2k(t`== z{>$+`z8KKjj&p1F^?|rjz6k*vOV}G@DsuK`!JxJDfgqAysFU~zT01>ZI;X4_& z*iO)54#jOhxURhY%wg6F^2A0Nzx*)9RF0%;C-F$Z!l@aR-wrzPx4rF?54QnEe}v@A z=P8scxj^^x<7p|Z@Av+bUlZzBu1>t~cBl%Z+i2Lg+1OyOB#e%I`CRQM+>E`ImA&H5T93OV^k;0@GIQRIn32>fl%3AY)J%pS-=PdS56K0<#xSr%y zfP5LDZTf5nfc5z&Oe=<1eeuj}*#h!QI$jW+L7vbGiXfYuJbM`2C(CP`F~d4ZU%KpO zYh%yz)DnIFXo7HG!<331Ba{cS*A(aF;T$HM?}7Km@jfEnbHVe|crFjmd*FLS zd_IlOJ@ET9eojwU7U|BSokw<#9SNxJ$0@3eii#xHkZ{zUtB zmnIOJWcAK6)2l$fw`88$syXDjvz7FcOJb(ig62377s7Vyak0COC1~ZZpKzr@e!52T zBQ{m2XTfCJeHqR5y$31`#KU(`i!F%N3d_ zYrbgiq4`|dGD{uG1qfSwUJCJzgVO4<8m(vE(0l7B^`;5xE7Itf6{aA66q`rWgYosT^ccf8N%C7;1ZVj2Q;mlk<%4;i33DbriH1M-^C&g$hd|J%a^2CFA&}I! zWZfr_0)OTR8>I))yg9;?n9?X7q_q5wve5;>c^9739J#7+{jl}S2{k9^J}0>GPRj*~ zu81;bmOH@1z$rt^>MTc6}oWq-x*Y~l4k1mp)h`;4qK-~J#&;oex zkqzgf$HS?(X1c>cG}zWp*;TM$$0CTiGLCPvVf5hr>9MaesE_+FULO$0^n$FE)lL{= z(R0p-oNWYS%dcR$#vB90?4+il2_S1~xHK=Dx>6k$E#vBAo-ac2$vV)%?`=2w* zwVaV_UD!9L41v-{eX8G?Kv9D4`E}h&I#xx(0ylG-Y9vF(5 z$tz_J&{pqg!TiJs))wYQ8rrlVrdU0lq|gB#Pj?iPK2e4aDF>GOsOPodeEyr9gDz;< z{yBcJR|UgX(ETuZ|0}%-LO#)jor@l-mhiwxj9i|a z6w6(|6e!JszK`~lZ=HdLkg$_=PhCI}{x*!cwD1@}wod`&O?wk~-o-XxR%{4QyS;fm z@6clH{|X=PSn>e-2hto03O3LPBiHS=(}oS%k=?r;#_&_-T`@=jGuXCYK7i~Oe(Ss^8)36 zx3%9PE{QDDyNpb0UubZ*oP$!^uNbb8Q;%tg}v0m~5l|KVL+?Nf&aDL#rGL;F0_G)xw=;?x>Ze5w) zIXkEc<(av#ssLxkoMsyl&w%cHE2kRb@^X-k$o`u1g7BlPA!#8&pz-3|i#E<+-U+ykA9J(nDCqC1N-E-e- zv!`nO^}x*mS|$Q)I7;=v>Q&Ggy=Bz-s}gIMS_FN9HD4_#7m@c66K&AZ!$CH z`GC#X-5YP4!l8+`=DF`a;zN&3raI^a!J|WSA|)BBi1*}tX>$MVEi)4;#YU#jRE&76-`e49fX-S|65TC*BAn|H-|;klrsDW{8K2 zC0Yp}@1%Te9^=t4AgHngZHELxN$}e-w$HvW*!-COQ9uAJ^NMo@UWfzP{d9kJ{s8cx zTap{S5DG?>G@WH)9#Hf9r1RkgHBdcW&N(~40W?By4Oiy1Ajx^?(%34-8jcv;#IjlyIi)0WO#X zTd2X==O3&^X2fCHwqxs;fF3w}sQ)AQ&IsBkU#*o%iout^J70WIKXhw4-6l%Z5VnqO z3WuLIK_2I1UzP?Dta>-=eTv0Btg6%gXv>x%l!*OwQa@r0O$-!|)7sVGu3BJI%5Otx z8Xaj}K4%E0DAySKI@lp~!;_Blr6F__l9^f)Sg^qq83ks3Wz3)9_dTaZ6L|Ss>9?2r z0SKkvydhY`0TL`J=ZtiXV8Ot=ED`;?!IQUhh8C#L!pRvPBXS;AL`CDriyR<=Yd`q7 zxB>Evk&|ljI)Y(JHIGlV7*;}&cKW-vDs)A&dt3o=pIJ{Ra- zU{dP1>khmVVtI^X=sq3EYHx}@w+rrFTa7Sugp?c+mbvGsCno>ET2t8p?mug++Sjsx z82NyzH!=WDEhZVps5c?-uI?wzaTibs{_5C9j`G8+pZY#>(g8thpKY*O8Is-&%tlh2 zgGm*aNcCBB7);o8?)9^Sz>cH&Gzn&)Uv&SwN*>}dbUqukcq9S1Zyfj7;(kQjyM_B) za8CfvpT@bSI4=+9FyVX;yf=>b5%Hc2o}b2Zd3fFf-y`DlX?*U1->30&TKD5|iC?Pz za51=Jg*G-AN?x4luKX1XOGDvmRYzRm)(`F#hA1ykHJzaMO7?~LZ3b$mXnc#0$`E{Zx6^Jf7cve#|QLt2ba?lcS#-Lk*pfE z&XyDCgtA5S<|$(To_~)u7O()FO>R|X#N~nu{krcm9AWv`^NnuA?==23{g@Zc=l10t zW9pEnsFSppzWahI%&osqf5@v0_Ok(|{EHS~9NteC|HTnXC4c@v_$ys^kZ!UR5y;D)~U=OSZQk>4RZb@Spkl5O-)RrBt|k z%@OgbDDS;V^@6+m?X8q)zOZR?)7(Cl1w>0*ZVc!$Vo&3D9ns_?$_tg*O$>bB7tFgL9`|Xv5zXa(J2-A_s7dzA4wRe8KWLv01{xyf@CXJ! z7_Og^yQSv^FCN4_Uh4IOPvg6q6;GqUj1l zWndtozj;6D0H_jqNW=`QL5clrbMP@5jEkx0`vT&nd<(C9-hEsd(|sp$YT%P9_Q3X# z0?$VZ^t>0GDS|kFUX)+y7`O#tK!o<)VQoXOTh9;OMxO(uO)EwLx8z~?48PfY72*xB zX6^ew6$B~j;3iWgQK;rDRa7}ghRLzAkKW3zz)J7lWN(^N1ch2Gq^$?t+XY3UoBB22 z)#b2J$#X{V{jGb8@L_g%wRZN=R+%Nt%pWJnBQ64c0hRrNq6z2>o^P<7+EMsIZJ3fC zP=W1~XN53jX+pvsPYV5R2XH$&Tz%%38T_F9(-Pom1J~)EJ7hc9!=YEoOTuo5M`gM` z)N{lR&L?wjzmE|C+GmTYV$~GDKvgMtpA~VV9j6R;{KP=iA%V9vSOw)`BI`bK89>PT zq40uHdw8x2RLb1r*7P|gZpY{|J4ry7>-;pBu^j!yF&YJi0E02 z>D}5nx-3O(q>t2F=mzqG`CcMRb8>^ryuaNa*C|5!RRZaxq&~O|aZC*Lqkfqazo4}x z2gL6XVT!1)7PL?-o$jCx-8AGSss|0R*@u;{zhAIKeyU3Ql4HgY5pP<2U``2+*ya8+ z-#HKOU!6)>Cie$!3nF_mE<5-@@ar2zy$33S-oDnl7pVD0&EGUbeBLvMwmd`af%HC= zi2}hKoJi*`K)w?c)MfHzrb%KllLNs$e0HdpeQ)pRdowttwWp`$p$SD^E9zM{wSW*_ z#Sy+@3s=>oXw(E9VQ4t%h)x?PMiO`7)yRoyg$+eT&Z>GE%x%%%{>nEK@PJmgzdZ(U z>h>dXcf|89UonM27F(#k%fkD4TMce-c+@d!oxyP5IPS5<{fM}C3-`I;o&cObjdM+L zULMY2!ucL}ZyfI<;yo8UKaJ<|@Vp1UN5tpT_}l}(PvhtG#`?bPofl~Sc`TRwdTR=p zCCs~N@t}JhEi1X1Um)^^_lItO3eD3y7!H}lo*&2;_z}Yu08M2 zjUmd&{FzWN;z(~g4H6=dA5o#NeLLSBSmpF(toj3?jHP}d)FcSDxK!zKf^6aB>3<<+ zPEJ62mj2qeN;Jn~@sMqgcY(Bw>nblls6z@p#e*1>{|T68h~+Z$g~S&VwrqAmkbk_r z$Db$)^{_|+f-faPsX1|bDmtH9PZsnF{P6(QqJ+`|%wF(Fr$sC9nlp@^lolj6M(0ub z?!@R0@&U-^(5InuEaFzMZdy$&Fm?K`b)y{Op_J*JR5S zz2_8+Pz04}hUqC)GT3W;l}bMB1~&yt>B5OD;QgCM1oM}NmnP{OK7V{?&f3Rl6HKf-9icC-L$4R(CswnG>?4CKWUUrP- z9teOL-mB}5VGkyB$PXL? zpy;QsCvi1^19~zs#HEHHTZ)NY57veX$ys{o&#plEp+8NX*${#{D44qtr|hASZEjJB z9_;aYwFHe-V-t4YZY>I1wAn48U5uQOkSUn`8Jf7+ZmxdVC<*sQ!c<>*| zE`AsIW3r&7$7Ksy#82ou=NzFyUUF8Tm(Q>s6lCWv@#t&>Vv^clGl8GQ%fyLj+HHiskDTuJq4n%f=gIj^ky`(Z5jGpb${ zyWouG=rU!aXEiWtTZyFfB^@voqE*W-v4X;P906~RYGb^5OYg5zTSMq%5Qk5PBBnl+ z>SLx8h((u0>dN#wVU4ewbiKT6ump*~PuZ@HSb56Jg6T|0jP%2ZhW-)crMu=GIZeR@ z-9PSkF59XQ`(uVMP!0J?Eq%-Dd{3X{(S_N~g{LBak8>y$8d zePO1^qFM#xJ8;DQy_h>TC@Dr%Fc9#cZyfj7D*exohcS*A(aF{U1-~ z9gg+e{_)I0b}FmP?9A+O+I#QKeY@?w_ufJ%Sw%=mNJbL*$cSVlrKC_wQ!3i>yPo6s ze4f9)$MOB6BjmcT>pb7@*9+$`;d~FgH;(ra@tzBwpT=`}c-{lwBjWREeC~nYr}1<8 z{DBAt7uGVk;b*F-bTkS)H#?{PqIs$~_u|YN>MdE-=bk#0fbuts<{k4#^I$FLuT@@I zIv7q%RuDLj0VlN|xznHojLZyFGqWKdDaD838xQ3%tfi+XGTRtZZYNyGMqUmdFTs?X zlEK)cs{R=&HwA3*ZBUaeBf3}iCVhH&o&**AkGh?Ay@4`k_qsCjp}+Td!SmTV4j5lu z#O{UIft0gb(@TET8z8n02?@)Arl_!K>)`-6mGt8EXH2nJXE-w(<*Tc80=7 zjll;q(`asQC(3H9mI)>goW$<&oPx|5_dNL}JNTD2e^=^AD7-A3Fl7r1fmcQYiC>No z!L+@?u;QxCDYU3R<4Gp$7lkajU}g!u_%C^`KZ;Cc9Gzz(!O!=Tp+x4FT2XSs5Vl_pjq`%QR@XZ?iVLTnvTJlaEb?l){Sz2}cRkw|J+s zBjUWz1l~rs91NS&gxZWURm{#Gj$hSjR0&B0uL!UG5_d!3=4cXq@@X_+{p!V9cPJbd z#j++37<$2VS(5Ib6G>nv(9E}|+5sLtn|k^t2hBUGKlUf)7Q)(kLI>mN91#C>6xYo%9O^|qr+}{> z13HRWt^ql1v6CfSx=#}Du{Xz-&+mV`mTw5keO(tKkhgeE>!ObB6#_;RH9f*C?~a|p z{LaUW2VtjY`!2ux;*N2!WXvg0x?|Ja)&IuDtgukaQ^J*}Rj@U?g4gG_ykS>0``p~H z9Jcp~<2|(x64*X+MiC)7ZQ#x!xOBANzzX-!J^Aio04)nO_QvCqn4(^2g!+9+OsFTK z=|Z6^M3$z!zxSOJlY2KH@kN0IZlsX4y$Qz9URUYAPlW(-m(O(h84)lF&QHsY>^HEq zEUr{*G+!p_cIPNn>%muE^Sr?qYM5qu(A969(%7}~Mt!i?*WPa8L4rr407*w~f|tx@6pAG~NfOdN>?|#hlQ+ zqlfP1gdvbUbEgTU_JiXZzK`S4@0FBL-WXkrHu&tisMkC*27{axYuPm-2+M5n{$`bf z(zYx6^_4szkJH*`XvrP|!d>1^`4 zq5kr955;E}(7eWeA+pw?hzUFO{%b`pnsayPxv_K|BY^+T0=-eY1FU@@^Krju35t~; zj-Fp2!V}))-y=yRkap@)%+GcO<3s)FQ-4Jve#TzbnvNEl5*ed4(K++#;BV7Ig6REx ztj+q}kUe-a+V-eNdcugPcr>$>7gXJM5x8ed1pD?R6UQ(D$n!k;q|f94xNjWy*y4Uf z+`EPQTyReS&Y#A)rZ_JT=P==X54<;y_Yv`)3!b0Gb9s2)1K%U!^J#qUf#0X`b2_z@ zaWuBb55(KZcr!9RA&8TVrM=4!#tZbW#Uao5haydijqVWWFwwrZPdgCWWlxt)mD$6- zwDp`@8}6{mb$2vc& z!jV#Bi6}SC{z5lFnA;7=uWIURH4)*WWPzlcItj|9!^6kW{Q8H@sX=We^j@Q(e^q!1 z-2+YEv94yhK;SH0Lf}gW=r1z#WBqOfOKU+l!q7e~fQw<767lmQk8dp;dKn0<%fn`+ z5@GPsT2SDhd^p_t6?c;h?f)FPc#;#Jx0sv?J6!CjY^^0cf!bX`^c!uQ%26#QShX(3LK zQ;}(R?n~s6a^W2)Mm5|5pOV1Ry%Q7RIhi-W~JlN9a#@x zIu;)ZAUSgJri44nAGMlK)?e^|mHLSx61N4UjAe%vbvT0H*W=Gb4x-QX*mc&-b>u}^ zAaID<2f&MWWmT4=h^ZuJM{DNX?XLWbMAi9+qR$s1hCK1;Ar_9 z2=YdO)%KTsAyBEmnCz23%840W*+KKNPd;`~( z3OVYT%jVC>r#J)MDe>^)4maRfqc`OSOW1j)momKT34-OJ@zVwXG?Ya7An640 znL5lN{&Fx^yfwIdRttt(xQn?0?15>rrb0je0L0AyX6+NUh0O0yc3Sxrz`4=u(}*?l zKi6+G7l)pJkw5iS!WJqh=c;?rLzfMRG08_y8j)jh^$H(K9uR@4(6r$*@_zozGVfw{m>IG>%IOezXI!8+elQA5L z+v-DmK@pngpY`=YCN9ZFWEOx<7CN&P=jL_lX{y1Z(XMDDM=R6n2 zs1hwW_ErZ=eBV3T_fZwokx+RmFl3Gm^ZSyFp2=XiZyfj7;(kQjyM_B)a8CfvpT@bS zI4=+9FyVX;yf=>b5%Hc2o}b2Zd3fFf-y`DlX?*VSzx(um&*>@lgVmI0{NQfl1c%!| z0OaH(VtdpBp@)k7;iH8Jm{@e@&p>l2ze6Vv9h)+T#n768&lHvr=N+&@U+4_fKYJtN ze*x+TYHO}jSb%7Iy@QOkE$m!U_+8~|iS32bQHo+sus*WW&OA(nTgT=&uUvD0y2{4& z1PN#8bqVK{4Dp4`2R$o7h_kz|ie$8KK?7ujsd}~A^ub3to{ii|7u>?+1e($3`LU$_ z#8@*f2A&0WDEnJUz$Atu6 zW%8Q^zX&k!$2Ur=@I}0rWk&W zVdRgZalB)BI~I5ky_J_}3IjUwpPVk~BB-ZG{K(967@i*wPBPGSg148oTHAZP;bu~E z?{=(cDJ&gD`MXtS9+HEiGi-vviB4JmSu4c(>1<}jwq9CHnr?$8I7><(#= zOLd>G{;>~pgWOM^EZkrilOM^MstYkEPO%dU7%-*W+grbAt-w*Gp_t)`HvHp0Rc32# z0;@q}U5@?QSeEzBc4uY-cE9L+;2q?#wV$GEqBbyroKgGJRhL!Zz2TMgTX!{~nBz=E z>8uvWAF|Q(bK=2PlMHpYD|A6FD>6K$Ujn<7pdVREhw`Mkd)Sq)839F^y^{SMRvPp9g$0SG+WV z{1FudHxPi|y7Kd1xg(%*_RrN(S}BZeA3^N}c__G)3x=PLB>=heIE&`yA;_o86+gyh z2qN8yx7>0)fXOtTKbMUib8T?t-IjDl@8HSjf(H7qAR2z>?o(5YCdjD({GC84(`|)d zrwoT{e%$14phh{fA@lU#0vNAOUcvz(^f_ts=9CYwCG?R+hdoWC#hq;FD2P^>fAwA#^QmPFUkkz z(s5s@vIpUuX2bFXX}B$=pM3hN8B883K2x`53oJ)CoXuhcurnofW%47^SY6%K&?ZHG z?6V_h=xVh!>{o*uQ^$?L!6>6FBFzMh#u%zFUn}tbOfT6@WeN7xjefkDIxzR|y|7Om zC(zCEF|bW5W0iYeDgV$^f*TVQQ_Am^0r!pL9$VaxhcS*A(aF;T$HM z?}7Km@jfEnbHVe|crFjmd*FLSd_IlOJ@ET9eom{6YkzH53IooPOn>I^Fc3QY;yS%% z3|O}FV_%Vnfa6u*?|M%Qc$U1$k!xxLF2;`ZztDZn;Hk)crW`GpippRtJL?Fi#_W2n zt342RtMPa_tro^`?#xC3@^?LCq*P$nLH(;+Hj8KOxxmFAboGy0JV6C}x$%qw@sw`4 zD%oBP0?hfR?p1lT-_HN2rmy4%T(vK3u1#5h)oDJ((=u+zH#9JQepnXGA72>zhlIhK zoT;uOG9e}=UiVdT+1 zFgV9U_3gO_NQfV-P`vI3r>|AHf4hLV2AB3|Jw!R?NW%-h&Zy6(WI0@^j`AQ^cmG^4 znj%3b_VKGP;#P_leNcP6JgMRK)0QU7D&sR|d=s0|@cwNvI?E0$M zFLsB6O*plSR#pfU*if&%qmG5gO^dR`_%Mi<75+mL9fo=s6DJ)M6Tomd=nyaJNzYG5 ziW)^C&)7zY`(KnF_;9dZXs*c)>@Pf>;X!-zG^g%c2hR9{otebB8I&WK;C>%I)#way zMLmQE3#h04ip7xQnH!{D6j$Lv{J8ttQ6$R+Cy?js{E&Mdy@RYMe>`bHJyoF{{-M!G zxMUt;qc{)>;UU>$W2pbKpeC_qb|ejP5L>L39;3YaVEFaGcd_tmDZ=Y@V*pHM7JlGz z(gdTvUEQ9e=st6-L5t(0H5?-=jw8=7hl0inF-^XxSM>4AqE?(9*t}-5GI%PFWqitb zzFfl(&ZQ>?xfd9Ke2#tm>}h$Rd^}36wrK}$g)9;ANyadwkr~XpU z<@74$OtUjwxkK7~Fk%7r^SfRpD1Q)3=K8H6-VJt@Q@_+x5Mf5RdR{Kg5S$O3UUC0? z8I$WjMdelL4ENao#*{|5!4k=UX6&v7_)g5f-*hvAn%mr8J!Vbd$8W_1M$H3|oJ%%# zIocK&+WbxajtXIOrgNiZk!kGXm`<5hlKI12|CkC~Fbr>dGnh zyv>#I05aFn<7B(YZ?_Qbx0g-_G}nR(E_ixCV$rLSGe-b)6OL2uAtS)V!RM0i<5V!G z%THx>*IjA+wRQ;0X>LLY3xOZ#4SJFv4kDL*RUKxA_`7%6%M~37)*l zhxIM8iJMj0!@%`RYa&qwAohL2R-(-TqS=PC`+2oKY8&otdeoU(wT zt8x}rz;ouDp`W?~9IPun7I8}ht2T<;^%nJjRR&{`leNwe?xu2{j^7EqL&laT%Y}iV zWcS;>Ts=5nS)!XfivqtTeP<_)^BiMlquc<6RmbE z)G(sN_71(Mwx{KWtP;((SJrOW|9s>B_1NNmMBKZD`&@8O0M4Jrxu!TT59cu9d=I=g zj`tDqo(rCz#&dai-UHtw;`3>I?t$N@@pC$^cPWs0Hw=Ui*f$UUhez=3ttZxl`q&K? zfzGuiFq)XBN}YtOtPIl~F#6RSD`b}*bdo0@way)&Z1SHBH9 zK(>0Ey8l0v%Vy|qNjm5Rp|5)Ax==nDk_NrXY|x&O@43?x9<*nEtrEoO5sK#d^hBM> zFvP1?cgQnKg95(XMzh0FP>@nSCVwyv$mP0B*-#!}ES2la7XekUFXWobl$M8!k%uTr zfw~~DO5T#Arwh?1ENFbA9br^Xir&0Z4tZf^cv5{$F=NTYw3n7tu=#)VG93}hn6c(u zU6#2xHhfPnM$*Irehg=@>PjJB3Wr}sgt`$hvZhDJobUkep&uHA9VM8H6P)pl)Q5}y z-t5zljzSj8x%;hGnlS;lt&a`1+TfL@GC}!V7d*{MQ_JnF;n!!oe@|zuKv}Q(nwPo` z#F2LLO(h6majfTy)Q$seQzo~K7@YQzHAM5zY?F)^(tdFUJq0s zy*9ua)p|;L2W-&&(S}T)O9S=zA}wvC<>2tcP_eFdd+5}ltNY4b%L>U(Nl z`sU}D<^n3>ZChv08)2c;>K|jyssLe*+>Z6LF<7|j?lTWE#6q5BDHU9D0LQO{6<9LF zl6*CpKEJZU^p_%gbf2kUj|b^(+J3lTBoT6%=jHC0flSo0Y?Ujvud zDAqWb{Vt*J7^^T=S4>m+OCu1t0<;H;@`!L<)YrFVP8$@yNbX~((Z&qOzH0Oyae!hf zowi^8Rv3p`j+Dhc3kcx+R~m>uztrE!9`gvZg7Q;mp2cn3VJ$=REw<&>SnTe(%siCy zV`S>4R8CXCgoa`>6KU+QwA1aE8;+oN%Arx3>2iJ;4F92VC{rI>oE<%vs=G6 zJ~$>!Zi{`7wZE`m!Un^AY#<6cp$`CoOd#xHb_inmejY<7g>=lYmkm`$-puDq!Hbsj8rCBj@t zHwdD%J>&+|32=L;zSth_>KU9FYu zs)H5;jT$j2pd6r}KwDaqm>ed`)2(tkHX0Ng&PFnw^Mayyo)R}S_cdI#WTd&A3}yn- zI}Li-;F4ULvBF{sFJ30rlh2dj!JPxopN;uIWzl4j)jLOMGP-*`YuyjJu$^l+UM0X) zcKsIZV~ErF*w}e%GXrWoNtjhRnisH^pdl&pP#%=vo-K-jL4$YSKHranAk{mKbU(6Sdoq;azF9h&D{~T=R}+D(uUlf+FbT%ZnX4-(PeO;- zlviUy3Rp{5%Sha?ATJ83J0Z-_tpt&B8e(u)yZwpd4pkO%35fg3(UEfyQhfR!;|FJQ}H)ZzrgeRW7QoO7~iPQYOV7Hct< zlN5Po17*G`?L|tqAQM!3e+=bkw)ggz92NJ#9J_?}oY!;4LN8Mhdb@<+e)jGGmt=Kp zY;?TrRe>YsGaxJSj#3+oxc1z;@roL#3HUL5Bbs4z^Zy2!LU=K{CtkT?Z%r}L$?}8i zp4n#uB@q zo)^R%EedTnq6WhgeUTsc|9#`Q#}@Y^;@&OX=Yo3zaQ-yTHN|;(IEM-6d*HosypM?Y zT=4ufp3B4Y9{3&+pHJg+5BxrjpVRbyf3}8-W1;k?{u=$dF*X?0-=I>hiHU+o**8Bc zAWWZW8lBb0;@9BJFuw*6)ej{Oui8NN^zx~#7(Gn6V7FRiM++;x6L-d8$s1_L+2@`U zZ9wP6p^5Mtu28b_?^yZ^e1vo1FEMg3H5eK?d~AHNrgaS4V+nq)v@(bFVF4Gf}ypcb&wv|5(^+#^f zQP^HFN`Zg{F3tPT5Rd+kNzh)zL0Nihwt5qJsk-j!Osx0BfDo(8+?7Z>@O`t}wJv4} zgb{TLHG&JYpPZQurqcsON3zRK$jc20a?8SquXRbUP)L6&33S_A(%vKQN!lbk@z=XZ zXyR*MKR%KU>2`6H4e8m?9zv$LU6KU*E*x#lxj}-dXou~a$t3U()S~})%^jX6l~%vM z;}3m%3i)N5(Vi}fg$%y@^o((ure*9-YYXLVt zYqe+#x&Zy=@WtoyfuOV-R6|Zn03O1$t9UCB=y;0mI&mRx_{>Q7?Y1k}r!=wr9F)sD zReny5S;`Z16#kCWqdq`xIh|O_VQ;9Itr4b0T$n3bZ-3EDpd4!|fymTDfM-o3?gZqw zvn+a>DEZ13woN{FMZ9Uou4S$D9C(B{I8Q4I?x$G6J4+Eeo_G=HlK${Y__8*3NNY^P z<)S{ewO^0DJU|x{FganTJSGfxZLc_<71GD%+UA{SwH-0TAfbqDV^s*#iEa_zZw8f} z^qnt$>cY;slXYIGrxmFuV=B&M1%IgDOU-aDv@Q+1DK5K=4e37xIJfeHhy`$U}XbNfCi< zOBsyTlU~&FPZTWZdw#c-Kv%f0P24amPU4cVX6Wo2UHB<3#W+A zB3B@MzGH0na&H7!*G$+5U-bbFy6mF8v?xD&d)~B5(GgU;{v1Eb84CF%5r!pC^z|*< zb2zdEz){N}jxFR%dFb+76+^uU4-e8tpP@axtQO2#|LPApf&9S@GY-hzv0kXNY5=%z z9QWAbeni~6h5KA^PXNxJ#<`|AFAwK1;d~FgH;(ra@tzBwpT=`}c-{lwBjWREeC~nY zr}1;TTfe1@OdtwaI40(~5$`$lda{=?de4V9%a@8R2ZJWn;S#l)FgQ)upYDwMCN{b& z`R#v+;B(X`_HJkBx ze0KlBc$xhnj_-bGet|3GxA{P)n{KR2nfA9~GZyEV(3ff-RCvDt3pyHx$!h?f0*y=;F*B_0%z*7BZz}ICrq=}}f z?)+d4djoFK682dEcbW{@H`JfAQaiUZNOS=0M^uYV=+8@8dKjZ2>I1z?1p>`kY}n6Z zgNl~1Bv`v%8p&6okL6|M-uyFdj0p)|zQXDw3wJi|rJr2&$L@4fWyD)YWBw(73+g0D zSOMacRo**z0}>xMxfx?DRx|7$Ba5-k%jO@>qg)1Cw-1|ksRaa{pY~BSK^`7j zA_a(g?iSsN|Y*SzqPs4q_Ki}U#$k;#VIYoyMM3GL-g;%@lM7$`|1+x z&u{S{?|2*R5tY=;b6Ui!`ylT4J17*y?g^^5-ws3XkKo0g6OnK@zC-vGy4mJwW{DJI=4)Bf<62eLIG_2zWantA0bm7Zwd(>boTe!zKS?>36n0q5nwz zPC`;VwCggS$}0?mELPt2tx7ciiH!>=9zZ#!4U6>RL_etY|NX5}AQZ}mhn~%z^#m@{ zs)y$eM?hU;)sM(HA9$J&*uruK@tMr3wD)Jslq`;iu#c<%Gt#pUC-$M9SGOdiwq2;(*gKCd$X&gz+1UhZ#(jMI2V;vu*rcu zZrg-PGo@&-ecN~Ib9M~KWf=Jq5$D`A?Rn*1FF*LSN1NwfaU>WC-zFPHeC>XVQfYBw zI`p!Tb+id51LoVIqpRcy>$~4d`k4cO$Jl}+n$HVFjZD~YQ%Yf-=Hbs`EMtIV(6e^7 zJ{^=~vG=YS@!-R|YkePmzd5K|ZnLJNJxp8X-N)tn(5%k+GW8tl;eY(3auvP97px2a z9Q5}E>pSgsQY-PW9au*z8bE|iYUhj1G?7pltcIzO(qPo;NzLCYVc_doFqqeNR zw{V{e?g_y8(>T`@=jGuXCYZv37H`>A8|CVP&g&LDisFx7ic<07B?*tm5FhREuXfA$5^s>WF%T2FjXZNqPviAvLSf=j*%{wm zA~>49GNX_t!y*KdII6of9z!Ue*MGWqOhI?vt8{4o&mx$D?}zBh$fTOCK_PPhO!n327qN8{deE6MhN?&rF8disVVyZqIc&b z4MDP_Ggf3N2r7!}int5(K%kiNM6#g=rd%<-5&zK*)B71H+#YO>(fg;jOU#Kum%+rB zA`fru#@v$T^b~-`l zww7P=6?AXv4fv&Ihxl2dD;}8~Rsd%~C=ca&h5x*)RYZFX25(QpcumBouP@O5;T8-_ z1?HI|MX?~ck@D9R{T^~r$=;$szO_C(fq+T@FId=d*I7S-`mNeNI@~0b+r_%?zVH(Q zrG=@(hbM}#^!IK7!QY(VmFwQQj(U_IjIT?4PvHyQ!4#bG>+V3MH{ci9XAfrUTN0i- zUXWjN?pTi-+H-T<4OOY|Kp_L;cr}!(`}h2}_bc`iEV!-l(}e|9Oqz1PLWf>7be9L2 ziIGJD*^~HzYMn^nxpNH0%wk~oRngDd$zXVVZ|L>ni%2MrT!>}W@P^KX;wi)BSm05m zwv$bag|^y+g)7KYn`$5ylZwu@wv&Txa&E{!E<((%8b@BJ76zZ{`e>junPo7rM(0jf zYf7sR33S+fY?P7Dno>UST-)}!VPNfb?sCdmCy*Iy3;TmOf{D*RMn-HPPS~{8%LX%) z1E824^NUJ^TVl?K=!&D@w~8^VXKNT#?#8_=`Gx%NrD8ryvEfktK18M%afJ6ederWV z3QeXKH{Zyw+c2P)gAwK}f?;rBZ4wER#a9Bz3jze$w<$5_u;(ng!X2l^F- zzqH<t#(aEcTnG9gpz@=(GMqf6^aJ zOAE=%kWV4!_!J+FE9#wfl^gg)dxMa|o|lXPX#VtH-#G5E#r=r5cMJEq;GO`SKaF!u zab6zIVZ!+ycyAo=W5{-Eg=SY`vNyPR}2xxmp4d{0wZsn7V=f6UOLEz-41BXMAx8R;YhHAVo3V5b( z1=@JSz~7*U688cj)Aq?jDa1`lTfSFQ9vc9%Wd{%ZK=036+O-Nh-N;jx>a5^r>I9r8 zS~uI=gCIKm$VMj0E3w(#Y#r7D zVJW8vRBcMw0S6<~304K*yqQvc?xH7rqIc%>MRRe+d6lH`KrdjRAmyhpn8VXpx~?%j zQ%F$Fq~JyO&(D$KUENc5@ZCd`K`6}_LW!MEzT`NH@(o-x&mi2Ej`G5JdiY znQt9Y!9x6&w3a7zpf}2N(vlkWj)Yv8-qn(TJ~qYN_X6_!1=euvqP~1u6+6kb-U;Fu zqtd>WdO&D#=)?lYUIyJ@q|~ z-Z8Jf867(Jzz=52-oD$_^@EAGhOL=5kze{>byD&&n)9z(Jfqt{-j?!YD&cS55G$%* zqY)a2fKJQ7+p|?zT;A$$ev&l=KlAaP`xpk^Uy{$NkcR*n)6EIv2Grlbcl2>2dQU#p zRjy#7@&m1~zjp5LLQt-rN!2LY6K>vmX0d!Q9FDO`S~R3aLa5!=Y6hC4_kQABTtr+) zyD!JHZ@Zw}Nu2+!_MAe;%Hyjz!#(`_=b+Ogw;Pq~F0Z!yiJY z*)JDc`oee0SMxl`V>T=nXkF|V0W1%@V=LUPA!{&y-g(Cplsw=b2n5c^m+LN`V7O$Iy263@s)hUHuA?0LXYTM=HZ+$b%#4ofUyOlViHShM z10Qgyo2S!J^@Sx3#mv-hKWIAFlw5HhQDog-cuFpjVD$&vfr^_BP*%mscY(?Tc;u`V zOhQN?;I1ip5`Av+6tPG>M4zL$Zyfj7;(kQjyM_B)a8CfvpT@bSI4=+9FyVX;yf=>b z5%Hc2o}b2Zd3fFf-y`DlX?*U1->30&dU9bS@1Tkg#MaPds-fN;>&WTNJM_qhMBo|V zZ}Wugp$k_o9Yy(S9*;g3cOu074Q;bS=U4A#kLeB6iyFC~uX$S@@j!S^*F>?QUd!1e zj^qqo;5%4hc-c%3JJh)ShGmEZb&hWie*J3??oafd-*PNx*P!V|~yxlMNn&_8G7Qt;0U zw#_(a$I-o*K3OuY4sk1_CRF0nP_J5et^R$mmj#ykGeK7k<+U@iBM#Ie9*=+2@;8^O z7I3Drl6GFw45Tw2)SusHgSZPkhL>~gp^f(5qjpx5KiggEjP&pXZE2D6KuccC<405t z%RVgM-Y0{WS-q|Da>{6y7j%vJu-Yl{L=hKV?1i1kn5`IKg(8uL#xY8m z%bpd zQ_R$~j~Q$@vDJ&G#C)ZR*aErmai4?cSeLV(Le&QX_H|omATr4fTRib0;}4?<7>%~u zk)dAe-sG4TXI4`v>C3-a^4JRMCfh^zT(SnH1~rx`Usd2_WY7Oxf%@UpvVT$!p`X9^ zvoe`rU&tC5UbxCj1PZQEK6cX(P#;$#`MvalhDPzn&rxoo#MO3R9)}%VF=*%F{bvnx z6pZ&gs1YL~@Ra!}$^+PgzB79~-=<@C!!^5Es7xX0$e-~m@2%kJ(hU&>OLyS<*?H2c z9&xaoJSR3s4M8Y^?nvPsJBXccYK&&`gcX6gq&7WE__cSnzhi&^G?{Vhl8#x}9397= z@mjzTMs8bp5qYcToy%sAqui$gQ=Pj!^2*LQZW_J|hSysu3KO|RxHq3Q8u}jjm~Y1x z|4MX5o^QA^Z~@(SZ<1Fi=7xa2T6+H(dN0U3S0{AtjUROKd`pqj@_;3Wrf++cBO&(r zquKI|Ksaiy5PZYe6|y+5OetvkLo~PZL!UsD_qif|+mbH?=AJrPh5I9}#zna}*RSZ$ zjrn98;fuI!qBU16S3@DfbfM7cED40BG((pWf9<59n2Y=E2smEIyYfle1y;JS-y4J= za8FW-GPoQFUmmbb-ih@AvKy>nV((LcJ?-^LDH0GZCkUPTI}C zE)2+4lWL2F!(lk?YbP&r1elyirC@9JfYq zNS}y;^b1oZ+P{O~0sYK1DqSLslix3@_W`Jn3b4A^g1kPLKCy6r4TYd!uBWPdz0rQ! zwi~>oK;qRIu@{jf7~}KUdgdJgKQ@~c&dVo4OvbSr4#*#Ml%G|c5&2i=Sh|D6rov!S z_(!$f^(d7u$UQ*eeBEHbTd2-lR-4=*9a&OVQQDQ5b&u)aH zo*&o0)XXdI-GJ{}vdNzj^Kwh4tx&s$}(091_$fbN)r0_9y0jBmsQvcQonQi zIOl7?l7Db#M>r`^gBq2|9R#Rk+J{eOWKqPeIjXkxc@vp3?WpksdJf zn6-+R!3!u77)+laFW2*txqn`izQF(8wL4fF{XBJ+ z1?}Ag%vA-$1%Zv}$v&|$0WAN~m&LSnS*RGtp3hyj0OR)t>a1xf$D>iZ=!O}<46B;N zBM*O|3r-W~WkBa9oix?wWHZcV@gjK<>ao}isl3c?R7U$h>L-&AwV+AVxo08E7P~Ve z>TLN|0Qu>ss9qg#!c?dK6+UWp!E`5$G~-qHLGIIeC+9X7ICWvkqg2@uJlA!CdQrb~ zS?jR7mJ!TC3j3Xk1#1FBP#75;)zU@fy_xxpL> z`!W|szLkam*Ke+gLD6t{C^Y`*L`V>X?mXLEKa_-W_2GwY3?pE=NWE+y%3IQG*B<6Z z?*K2?fm7$u*DI(LeQn7I&9elbrsc3Q#1R7hXhujV4@0Z{jI;Ux;!NI1yJ5;l1mefm zq+AQ&<(gw^xD4FNTt z!uoq0B+$-3axsb;am`K~OncrK2rn8Owz*mp-~_pII4@-^%wX054vMCz$Cx|$$S?qS z-=Ad*)kg1VhHQy~TV_DrUEDo*KL|b_W2*i!8w2GMvqu})!Xf3@w$%Gle|Xy69G94a zxSmtY-*0tkAkQ2_ggojMIQJ~ipQ#Fg{rXE7`RdZ!s_Ca5i`%G35cpC_19AAphJoJSJ#wKTqQSU=t`d{ASFxu1o z*Ef!PY;iv#?%l$DF1RNE=TGBYQ=FHFbC__x2i_aU`-phY1Yd4Bs;DA(=_pMP;_01UzDuHubApq*;*TDqbMv^W0%!Lk z;=Mn6vKBj!_FRh1zmsqKLtvghQvqWD@P9f^e_{^#9oHE`j-fq#!J4gz*oY0RS@+fK zXZ3>t@vz7CF33B{DSi4H`hBnaYk#-Y7tQAfR!o)9J?T6b1%3W+0ywNxgt5NxgODvx z)&2$&Y*2q3%SZcs^A*vecW94xx$3%RA>#A;1_`l>4;g^*(_6oXOdn0Mv8*%>Z`INXeJV5l(MH*$#7MOu@%Ef4@U@K5L`sdy?@Fj=h?%v;tY2={Ju6TApiTBea$tUKA`eJ?_>pqGiYdk z%)Ej2kk5qt^O?N~uxPESRF3+T8Mno~DV4n8b?7h2J-*2Ac-xhwYaik`zG)_yG?U;n zZE{NALlP8VHM9fH$RAbNbVsAe3)*K$9}bLZ!zBrsEoayBm~-E!lZFv4VCg5KLw1S) ze+AQN2LuBldAF&8fevx6b%N9x=iNX;fKo7f+82&Z_I=xy3xGEhR6hy3=yUWgu{mit z0Pfm-?VPl&#bgeT3LeYTh5c8e@>c4@AacKV1ozQE@T3d75w#NlVQ-RdEup!H{zdFx zu_XZ-{8U<1*+PIV%k|7XdW$^GAO`(0GoY_uVngiTV5!0y)a)mXWths16bRWeS z4+gWwLFy-(vlcq8aMs+S!TzZZGztj2?sj-WORW21pB=j2y9xOeO=^OO_$XEIPXdVe z7^FY=Y7MP-_!z@V5tpORB;L5g6^bale^#DJ1mQ~Rm1DON|BKY?b`{NS6%!+z&ba!* zM9PrC#9bo9R?$4Tq2vO}Uy0lb1tchC8`p_J`yk_)?79&K^ggYisS%|nK}V)V7kdWk z`3xCEYi_548hb5W0A(8T{%kD?A?{$D&pR$QLuVMIO?$0nW)0?x4-B2O_%QcaBSKWb_S3+3Lni{99}O;j z&_e|JH1*&A8tg!rN!f_e(+{Qtn6iT}BfrpNcg5>raX?RRbf20w4HiYeuD0qY!&6dH zyY+e;9A#VRBBK4myVjs2E{k}0@#OdN$@6jGSCK0p6A=yTAyzry5ea*o4_3wpIKozA zRDSJXAO5xq_C(>LS83&wftudC~r*UZoV5P2cjX}>-?28k6V6z$oKmQ_g)xU)LWAF*N4`6$p0&je=xL~4oAkw$Y%@5nGn24?TgwbT-)le(^9jn2h%?B) ze&Qm(coh5}Pv;%a<^KQwNJbP9X^@pG%5Fe&6f-c~0ka=)AqI*Y$ip9``%-(~pnGwu3e!9Zka3B+wPiC!+1jq4nO%LOikacw@ihX<0oLdB zPP@X=M;m7ctB zL33CowX)nrFX*`2aexE{{oP$=aB6<69aqK~6{sOK1~^^7;<{oFoNT8o~K5xURW62kxU zjpH6$+>eNRw{V{e?g_y8(>T`@=jGuXCYaE z2P>=l2;IXLBBZifWG&(OsCk<%w*s~%=XXIG-AlF<&xv;;UoWRh&iN~2&hYw)`9q&T zR~V!FJnGDW_BgJJd$*Z&V0bksXx7aEz5li!dJp;-Z%zE|mL&pw5(u%ph~|=GecD}0 zwC0G<{n$~l#}po_WDI3GTEgQe(zpLUwT0X7=iF4aUBQ}L-{Ool5mpzxSX~0yF|y5Q z+ZpuxK36&7CH_?jvs&Xa9F3Wvn@Ga;H;R8X}Kei047Mxl;YaxRKw|&{k#WS&HTwcjB8Vj<8!})xXQW z6YF#_4szk7z%n*$@z7_kcfX04P`+cGr;aYhQu6%XP%04%xa;m#^ zMW_dObDKrS#}+Q~*60?T5&?2Curkk%$L10bCB!V5f>vz$n+=p#xv_lX6xkaBv^PyA zKfPfIzmk4X`DGY`=$RF(Yh(6sHsC&&WV17z{S}aFatHaTRlIiVrAQEPhUKiuuS6_0 zg_M?*Er{h61*K}E-b|l%@IB39PxwRLG(;KX1xLAmvwZaQgU`$!iI>oOxW~`0hQC+5 zVE&~#qnDUHOb5uAa}dzI8d7OHLjB?5BD;y_MH09kWY`)+UXaidBZk*XXn*5%Sgj30 zfNyB+>Urdi&UdCbMCU+&y>{JNnd2nrihuJtbHX0{#u*RSIr~6|$8g-Zt2M-&`tDCH z;RHuK^DG_)`ap`GyzX3577x)-FL|5eh1oq}Da zG4%eoC0-r#2kpnR+Kg-Oq4(Lh$LRK$vW9`(!AZU3SRcq1EpQT~c7wl3O^h+4PB0;+ ze~5t%aVqpQ)@$g{{adr7Dkt9yhWMt)_9(f*NOPszgSUPly195a$l4P=hDh5cY=uHY zPLAjT^3%0Z16O;W6!3D)N7^~M!F1LArVTo07?cT3YuYw~?3(9?)`*BtqFS{~--dj~ zz65(g#Lp?Q+otMCM0tcQO2#i*X0TObbHj{Z0J_TWCfn$^!D8@GXE%C}TRh*BODJ@N z+r+qEvxoyH6~n6b>Jbqhko;4wE_=eZRy66VCz_M!?j9~aMuhSgraJe9NpK@|tV8V+ zdJglj|0`rthvSdGR}s+X;PbD9JLP5`Q0G-JNVaSZ!_uvHEp8D(<{W)Mk&H8BN|WnJ zA`V;Dy20l0EDwmLdV9dR+7oWr^vDm$yCKi2h|y265V)MZA*K_6JbnM?8^=AixE~Ss zZs9%`+!KKFr*W<+&db9&OgP^I?~UVqM7-yM=cn;p9-jBW_lWp>8lQXM_i6l`HaJ)E zn;w1LSDmToH!v6Qj+jvw$JvH;6h zfaG`lHc4WWsOn=d%Iu z&+iKPv#TiIx2VT>V2}j+hkd)`_PT;>^tmNJAz$crR{Un9?FpMnw{QKB@P+jwUvCiQ zydZ)$g?ZM=9}>cDQ`44uLeopjSZ^;hcl7Xk6d;9s%yH%iDU$qPSeBB|PZCafO=jzlfS8nUT|k_*KiE=e%1z_Vuy$%SSjWHVDiBSmYTZ9>OxSCtlL)0 zQ-lbM9}n%?BqH9{_$mF5EzY3zdRpS^b4PgcOyI^S+Pf!@xr>+Gw1d04%V+MOJh8a7 zvYY8m)OT46GQ3u73u?*UNj|E`H$|SUy#C7s1btJ18SQ0E>>~wwR}jCXRJP5^RoZZ{SGk7O8a*X&GGl;OvV2o z5kVzuZ`+;|9^e$cr+$_jc|(lPuqq%PSd{#d!c2=J#1)iNRH?f`c)JR>^>b%f4-U7y zb{+LU?mmxfIqVL-d3VAvwEyQ1YO?I=M)S*;Tkp;Q5vI*ke674uj;-Tl?iF>^U%#$r zP8C^-d1;XC*PnKTQ!Uhjl4!4*8cc6iiE=?cUNLF1Oz8c6Qt(DBwIlrd@UUSH&Fkze z>2Eo*dIA4Y;9x{N$~v2o_JkgHNIzW{-d$PxaGy!mGwgXZoxnwC70%|PgH8w=gCJIKD!i`+cx z4|05r>eHQQZo2kT>#>M8{ND2+`fs=wI5ew-)o+DBpPTb<=1JrsDkx^^NhSa}dlmB) z7qkzscMFu|H3jdr^Jx*UoIpLF)#Ig$?z?SDvOa>!f!c~u{ zW-oI{8?)bg#a0_KRYT4l8E}F37LvR=$93WDu4(>pW;CxKI%Jl0$O@8StJTxh0g4_r zl24uXhwr_or&fQtL5NUsD*GPvJd2?0_GEN~z8l>E)8E{{RgSuVQ0D?R2Zjff*IeNV z)r6OZk~93>C%vMJ&h1t!`fRhq=<{^>y`hCT`Z@ajN!OI*4@dnN)w`t>z^U}W1HB&P zUE6G{vAkdcdX(-|G!aLzr2bjz*J^04)J}XwU*rb_;ai#xI$n@8&wVTj?K7K8Uf6M< zd#=g1%bcGnMIhBOV4}j$0iNmU$qENL!v35^!c|LCaJu3D>c$;(j-RC^B?Q|;CGADZ z``7;0pHkOfDD;Jzk&~}GhKR89Af$;2@gHdzX4OV^2~d{O=6JKr6chsL%XwDp;1|XB zq31%*C|^`H)_YhTzO8?`;PTQ66!k(n&MnwOYO%a62kPmik1duAb0V&aQpl!P3K5Fl zB`fJ05ur0vgW$`Ad|hQTF~*rBC}3AHQ)Be}&o_>HY;iv#?%l$DF1RNE=TGBYQ=FHF zbC__xNAUmk#_>KP-gCk8)7q~8KbME+J@7puKA*ub9Mcp5uN ze%x{ZaGy1GyHAAivD42Y5g(_{B>QFt8|shq>$ui=ONl*BFznlUHxP(uRc;otc?ECUA4+%1m!A@^&OTu<@R-1jkMNT2&@T*ckPh{rgoPj&R1( zhq2f|#V}T{s%;L7Nr{8xZe~!Ym~pwo3vpU~jeSc{F8)v2&U8j9`g=7g4I{oPdcO2oTt+(O9W+PC4 zj(wg{vH+U8>ZRr?0z7GT{acbp1j+-(=G5%Yu-zh`v-8s(?y8oLvwe1jjr1MYE@68Z zUMgy$f8h+SddEK&9Yy!Nl*$wNIt2KbL44+xX^whS8~sQ3UB%S4f|;bu`*atLSq3P*)xQLC?~z0JLI>4`XQ+S0_I^$$kS$aGpg?<2^J(burdK)%yh5=+Uhiw8&q z|IK!)L~|GY<7_*lR`A#4&tE$V^!G*U4lgcw0QZuS@Wl~xxckJ7c#OpW&_(mKyN)M( zseQwHo<|p$smvbUNBMW&Ymr?K-`N4HP1R}<8+!kJM&jV<4nw&q@#`%8o=}%!vsiN; zeShMgPYCIty-bssM%G>*AnvCB`hj7o9LBCFKr!I)3TT3w_|(%fh@C z%oR)y?{G8cg~4gwzu&)Zg`pf~Q%%+vS$H5*8u4Zb_0bNFJO4%=5~{R62M-`FpZnV_ zX)-&+(LHWCSlaTJ`6+i!+?B zRk90fass&tVg3Wi4~FSbDEvhG&bnK<$zL1Xq4Nl_U5eQocDbZ4^$i50ep~fBpSM16 z{QaQ=OFvMr?@YtPHfAq4_wUpc1?m$?`usa&B8%?JZRg+YWAO#)b5k3Vi?&cZYyc zi1%FZ{B*=ky+au(U<x*S*dX6A1EnTG_s+gx$CzS@DVU*VQ#u^lX>q*m#=djgZ8yjTalJ4An^ zyrqtOh`b*jQF`?FfLW!Df9kXgtY;5!+Gh|!?ZY#r>V7Bqb#YdlJj@+7;NQ{ma98O4 zeC5g<`t$qvE5Np%)dMbYE6A8P2$97CrCN|I`G0-FL*WA(?&K=gsMT0Y4QY5 z2)Esi$<0FdD~$o?4U{vdeJ}Q~?uHALX1sH(tapdhKTqkU#5|?w}S`Pr?jK@SOZ0t zrED*s6I4s^FsJQtgghSK_J`;m|I=GfSw+nlA~4mO8f`w{E3$rXFRu;?>xSL-zfey4 zm(`tZ^f~^w$Qj>kg66DbOW7WW5kIz_w=V?!94xEXSd{n>;ibuYqBG*0_%j`t*g)?& z4;Wn@UdcrsH_3h*jWei+COhIiIq3&|>mH$(X;6MhB6mup2hAhA7*CmWdc&#==cdBC z7tqx`mT5zCT}!9;tpV-%*p?q%v&=tt;EZ$HA1UGvPycdEU_Z3sAG2cun#bgEK7?@dBS`0G-C;7ADC(36g=9TkJV-|bq=dIKA|<%GEtTWO48WxIZa7H@0OD+C236 z&VLlqbHenQ`9*eU@$i2tgyxH3cQnpDq11&3{_XN=HS*xg^!Nj(jVLr1`>Q)WLcLS6 zy6|o`3#e%A3vT1L07}J9Z=Wp}FxU=uwU^+ZO9(G>dsc*r>9$%CiFC(@*=A$pG!KI@UL0$Jm{UInR$qx-RpCz%p)fy)vv zT}l+iB;*4pC>VI5J4~DUb(<3;XXy`7uX1AUnT%OHG`g@#Wu5!YLk`R8ug}XDWEZ*;Dr}pSVE)>B8^7Kks!0;j9l56?NvI zZAR|;coCgH5ncY2GV0*ta8=~Kiw`K22*p!%pm}t`4cg}!C|BAf63Q1J2=57YZ{(hZ z!Op4bv8 zqYrHI@9AgeLwl}AP9q!V+#ypzw7RYyRjsk%qnbXW5J; z)DT58{=TvUgON5hb*&Jf*&DfW2q z%f)#qdw6x^{{8X&=D=fIka`(2h3cLT^p23F)ZDe%bpgnWyi z-sv;PCL(|P*Op_%VO@AvuNJGOP>M}B(FU!0J3w=QrrzFqTWE7Pj?8*$0%^{#+Y)S$ z@8xuvB>62Od`+S z797rzK)!QKI(mH20iwJ6Hv;P{V4}PukY3RjNY-VcgAc&7DsU4VOVvM#7K5VGScU)VB*z^I4_rapEO&NfBgmPg;0vxK2rg#yZ1 zmT@Wup#JUTj0Qhv8RfsFBz z#g{cdkbLBwx#~y(%4u#xZnT>)R}Z9Lj2(8{w01XSJXTBKi@d+vBmv} zi~r}{!hJ5dCjjS9<6KjmmxpthaJ~oL8^`;Ic+UmTPvf~fJnw<;5%KvnKKH=y)A%{9 z_}Mv-nVf@Yqc%S9jVI0;m!kF0&FK_xMMX zJ9Pf=?Q8>D-y^>EKaoSmGQlvI^>xgf#s}{G<6Pr<=nIGEZ|67Y1%YImzzYsSFq~*m zyPt>V=F;Jg9igryxclsYCQBFzUd@E%pF{VVbp1W&c{qunnRQ$8m;n*}wS34^i~#R! zGRfasdBCT0{;OIQM5x{IJ=>;70>#&sVs}|x;4QPs?O-lP)bF@%B7uHBhXWp8t61`b zOaim5V5=u&W#v0Fiu=J$4w7R`c_`>zn&ApTpQmqisZ)ge=sxKB#dKlW5w;RoSbr_* zKwzSzh6BoRRdpF;Oe5}g^MP%#?Hwn$lXt2L1W-;=mgJjJ<^VZ6fkLaux83_PRI9rI z-SZz!R_a_w^VUv#eHvQSKjmBeUfb-4{G6?`320xhZFI($c-j?)Mwrv2G1PbTH@Ya} z>IpnTs(YH(JfQdJZZ|E;krmGLj~j>F!-k!7+#*BWf#>547@~Q5uUmIcV~sm_)c1L7 z{q=@RqBnNM2A$#Gv-MqOl*bK@<$b;~<^?OQor|@`-r&_1mp+B|97Ts}n>YFIVdSJ! zY22C4AoFBgPdwBM%>gtY(UqYb_>Uw;zYFL-9jTJrYwrqiq~8gX$S<^~&NQFa!xi~| zmM?!pKJ^N3iyzOvBj1e?)eIk#F9eAFWXeLludReBqOzbDeE%w}ZHJ!McfL);k1+=# zZ(4JH?0_FMBr^$0{YL!w`nmb{l`=4W_>!cjt^gd-d06Z>kDjwKZ8pw`qu9#P(yQ1< z!1iAML;D%!+5#hX$o8b5-qtI1tK*Rp*qfjiV;k+v7{w=F^Z7I$_{2t~W!;bVrv&4o zOK4tAd6~AF)S!yppLSCUsks0!PW9acuD4l*Tk^uHW?R!qdZIn4V&$+lLh9ZP;C8D80&DXjk;1VgIUautS|*y zg2-99s^f#`9K7?qD~mM>+9q#Eb)A*PS|n0Ne0J!tKJQPS*|r97v~nh;>ffwlT=bT? z+Q=CU{)x?gb5McxY6nA`$Veb>pF28;d{KXu%GYR7f0Sc*?K2x!Bzy?wf0LRX1jmwm zyZ>k;5_kenu1LHEp5YRMuB;iDhJSiOCk3>C+fOAgw_D?XQeQkn3T6IYv?BC$NH^vtN zH7!9QDtW%pe@#tmWjz$m%s519Zn}Z$pMmbv8HWG)#&M4=?nlJETe!~!_XOblX`E|{ z^YU;G6VCU*d*gT?5%0O+`Dr|thvz;1+avzpd>Ws7;P+|#oMx$=Of+On067ic;~ zus?GLl2LNev?)JEt5J&v2;~<>{pfNweAKS(0n=GTM#@2rS)!id&A%hKZdWK zeqg?r_3Aq6vt&Ks%)Ps<2Jrr#9YIzHJXx>H2^*t1#gW2N^)May>X-A8vQq_9FXsex;w4AOi8R+?MZH4DO3K|74R7GMYO04#qCWPj+B5onfsmmR zMq_B>1s^K3PqCxDvD~OZKlqRN-K#aG~XjaX2hE+7FoUhl2pa*eQA6Xz*!2;p-`2 z2w##*;&PJoLHNP}m*;Y7!0eFKn{pKKl_V8P4$>mO@J|k^hiEQfOG7q6kNC3ti>|fj zqVtUI-&#`JJG7tqDWNokxMh`r!UM%rXs(JqeIA`}3RYWv8{+gaP_yaWcl|{y_#b|3 zK586_o>TE2RO=B?X-Ovk^?f+JH|;!CZ5RbIiM>SD%qXy~bm#h|8wRV!oPp*EQ836x z8qUxPgLO$(amjSV)7UUPzY-b>6*meCj;6+d_Mt7lnc{d5_RViGFO3DYKLz?nhhkw4 zV-fzkoPl)--McBy9|v5PqT?(5kx0o+cScY&3_MfmQ&qR)fOvgIrOG}6iXL<+A0CYa z%APACG$CQ&+}|k3P#*z0Ru@HYScgOPoH6x}iWDqPZl|TeAR4~sxVonvb%cN$b#}o= zQLnzA-t?5S1srfD3sN|20*S5z-@aXTg|*^+cj$wSp?u+rH#_Q89tnB9J@L{PJTKlj zdkO8;6MK{UigSXH|5EL^^h7w^Q7wvCOpk_`pDg>It03Ov38E+V(+3!mUWflfT#tzs zp&SDa5p0U$&~y=tCiW)rb9aM=4%{`Ukm0Y1f*qP@eixwtOun5ibO^mSj^_D!UduTO z^TC&+k9t^Pqp!t&zWJksnO>rl(%Q1Z?0e)DzBn6UfkVfZLhE$FGQ0fVDJlXM?rOX; zh5C#FHow_Z*d5WnrK^GO4hbuB@8&G+bjB2)wpiv>5V4gN@gb%?y4dGNx{i}JmRR|? zbb8N(85TodO!uYjf6p_;dT|*|=>25JBvNgNG4-^C9Y*_K`g{HCOZj1NLm*J_l9vI> zKZykobctf#Iwo|-7MojNi)PO62r*)1G7ntUZxgZC_AKCDVTx6r&{388YXfJlI7#>E zT!8QLSpweEwpiHGiu)^z^Vmxo?u$hNELhkDUguyIOAN;Lk+b_6V*zx@)BQg!uz0K0 z;3DZLFco;6y^!JzjtP~C`(F`2@%*6vdG9c|lX@tm{sQ7*ydivEt|3B(#*|*uco=+n zq_SxJkp%b5ZgJn{kA;K;t;_2xkR!4=_df zgPww4kmD@$Khi)oI1zCE82xqtX5A z`@js0PIg||UlI-F4cPNw^=P2Fc&EZ~C<+R~T?8jy$AgvOYWJ~33&gqUk{Lf((7O5V zL_n6m7BtJ8~2Gnv~)2NPyB|pkcx8fi;b-n3RG|JZ$>+B1AQyc+Vk1gBCmHj|w z%EovkARLTl8~odm_c48-MlD3!0w%4D>zZiepeg6}&zB?dz=RbmEL=u?0WaNaKNzCn zO~XG^GQLRoGJM6SkvRquZt^mQYDNM1Tj74;PV_z$_KY=1J;L%vClPYfEpigGqo7EA$=Rze8qT)xbr#1W&Zm^Z zr*5WbNME?*W{tR$&M$Np2I@00`8`b{sbleAz>%6%F|Gy;f(yc%(!!7>;rF9*5^?g6 zX*N~%$zUXNg<)SM0@$9{SD1Emzp{pm%;yhXe*C3dUO~&oXDvXCAZY2({6X4OCLd z3(DTT#mw&pp1VVP?;a$8=L#*S)eh=QHyj%51V^AA&men)IH7;s=}bQ$uchY69e(K- zh7h7uInjZ7WUsn{?+ziZVP0gV{3-Ol#y}}^jPD!~<|>6}xwBnCE_Z0aI4&F}U#Q%sQbXSOuT{$JK9H@o+v(z_Ba+2%6*}(UU1>HEm;qRFPvFtKV~lL1n*S7 zuW8eIK|A$x7FU!b@%oZcvz#3cy$|2WKH?4q{=t?>r2|^nZ734#|?(()PD2alDU+_gwJ& zG@i@D^B(vf5uZ=va}WGJji1v4iMQk*$-9GJ=U;WD6l>_P_?;DbivVK|g2C-JL@<;& zN@89+Ea5GaWs8)4z5ZnTR_*%(aj(|lz-A-`=+e3srXJHKJF&tYr4x$;3xU%G$Z0sKNxhR6hV2Du`ll8|IA6i`Cy;;1(a*+Yqgaz zw2}pTp5(;+n<$46s&2b9Bmw?p?Z2LX+*0fi+oLowst017OoL^~mRPz=cBW>i3q}>R z-v-eeFdf&sA3PBEPU4nEJ41vcI6G;-`Mv1?l0u$i9IMUs0$a1_zhrW?f}KO7GM4BkN|EP3`lybq#FT6xJlCQ*Dl&;C`N5D`AQ;?0;@l zlyMHif33e|BO}0|B7DeJAOQCr8!_V#M0j^l`1p^bZjgN2nu4;=4xIP8@8x`G2hjBYBYHn7E4SPmjy!Dr zDV)Ut&d~krPU=|;7m%;HQ&)uU_nQbi-Vh#-%{+R={AG{;?(HWCa%jIvqnZ6v25}G8 zN7H$GWSzmX%IMxDls9>m9i$fd-4z!1<%pJCc84+V?=z(ji7--@^*t5sF@tihc$%*! zU}Zu5H@`p7gl~OG->;$lr^lYG_yk780jqqu6p7B2)qn$QQzmHcXi2&Bs)z(pr-i<( zZh3+DfrVrf8v=aTgB3M5qkj4uZ=uhr0dTMMjeqH;2kd?JWtsm3%9%6qvHUf21C=)s z-Y3XHLF27^-tHfNI7qGgDHrt*_niE8+W)#4@UBK^Q%&f>Xs8y|U$pnV-)GDE!2Trg z&|m*m_1zRYdj9^lYecyQJ^6lxdj#-1H+|}9zdrbO-lq7nqyblX4IgsA4i3NgJ28qpbM9>SWGpceNCqhHI>=-P|6$L#$JN zPFTXkF~aR;w6CS}NSw9VafFIfTN}hD1kf%HOSyXj-GfKJr7xqsIpLtwHzm|l(M=n% zt+?j`4b``ZBtIg2j@;&F&Jcw!%rtcED2Mn~&fQ62))3Mu2yzeJa>9F69oe$yDEG~%|tAQY3eqxn@6C>d+ED zcjSR`r6F9es+M{aLxkCQm41u{PL@{f2`4-g3;rCqp_4aykWSz(euOz z)UvL~1nd~Y>I=<_@mwCB_rUjv z_y)r>u!PWFt0q#GF}$7@P)*=)0)yvAy%i&f5JB^Yr%?yZaWgfv z^wH1tnAM^m-yM|K*km(tNU(;JnWtrsl-h#hu>jM;QU^F)vK`K}V+Xm_H?2Go=l;C> zM0=I81LT#RQd+xCfU^^G)0l@n7_D=WO;kEU<8?~eeKrE4k;)A2eUH4?HlzjCWsJMoR0cq;LQ*gB6a*2;1>lhf=O6rWTG{w_a$D6>NWxa)!X$q)l8uBO4wC-U2CwF ztNYZWk9cT}Y+A$&3uxVQ;}1RBldVeF|I-vzg$|whOI<%jp^RS1>&0y`P$fEgMGC6` zQDs$+_W(dj*gJ!pxAb6O>)mKV-*?4#Rwl!~>YrPMw1RSm15_b5D(uml%LWk6dGgzD zQ@vgpvfZUf@^iKAf&#-M7$mqsergaMzer291{@HEq0Sc6L*Ow{Alj8v83X2#@e zCaPJ*Sh6?A#e%P3XYSZZeEO~gLaaR+R_*|48YS+sY^YD}r9V@-DJ)7AT_#S7jq@el#@1J5*Zu%(S zwDDoKkK7%GKfj2|v$6nDp|HBO86uox+qfJWg1qv2wbgG?j_ug#;j@p>J-y?+gzMFh zx-fsKR56Cl3X~X&%YW}f``@kj*k8|2@s{*tUJJXi-f4*_t zV~hI{aqkxHbHP0UIDZ=Fn&P}XoWq3kJ@DQ*-bciHE_i+#&*kBH4}6b^&!_RZ2Y#Q% z&*}U-fA!?_Y*F9oxZ>{?WAuIbz4_mLCT6yWzUZ?Zj3(&3tPw&zu4&V;hAL%@uf8O| zKFS^z!eppBJk20YZo~VDm@T|gZ%g>9>j2dWyCJ_3Z=sE&OyQiE95~Ef7c@6F1&Z4j z9!mD*CJyjwyK=?}eZHuAO)CzqiePdU&2BLjreHRq;Gh|)iXEXoTGW)Jik%z2Y%O3+ z4V=dXl7ft!uq5&)w-+`&F;C-KAxl0x%;4R;N!S@_xO?Yfyh4i_yopqg=%YhkXa~WU zjda|Y&LiQ*bHA0bm;eUUnwP`g3v>)ICLuqfdOoe!FIDV~d$8U9i8Iho{K)I8f_g?g zCj?mR_~1jr{VmQlORTg}<_>3`IkwH9_@eTm7S>S3X+D2O1lx1^xLjdAkM`l zYyxV8`LCn;^1%6o?v91AE{yq~bE5ROhO?_L2VRY%UXRbQADovQz}#>6U%V&kV}zZ~ zxPGH5d*0kY&ylCzi)sO0 z0l-)LMoE&!5#EJuNR5P<17S;UYN|~Sa`)yQrqTC?Q+%Ht4xl+Oq4)amGddy^h)w2w z?(qN%jdp`_v{x17dDI+d?FtTQdX06m0l?FR-9MBOgzgn2vhY8=*otS`UQLuw4Rbem zYi)yiFs4i2yG~gH_guPxVzxP?KVT$8Am04%k((W9KhZw8?8?(kI>h;M@{o_=KaY$j zN@U5jE3HSWLwfweo#AOYXJH27Xw!e-tXO?z1>85uFh$f`W~B7XGCe|qslOfqOV;mwb*SfG_xRHPa%1o2eq~0Zc_~eGc5&7S0q!1@jY>S= z2M$d0B02RAU{T7?8)Rk&<11!AOiPX6S97GfsRi=D_r+L!RzUNlba(Buk6j=&G_Ps@ z4dg2^iFZBk;|tSGCbG%1?!e$e>$%M8kMTPl<-cs2uasSUZj(cozKO*kk z!hJ5dCjjS9<6KjmmxpthaJ~oL8^`;Ic+UmTPvf~fJnw<;5%KvnKKH=y)A%`Ud6=e6 z0Oc&2L;e2Hv!kDjs;68;l;ewD4Da8(9SVj|Bg%eKTmWmX=7rTMXP9O4qrThc0!P!5 z`_?b`!9Ro!p#0$mECPe`jEIxo!}Z7Md2%3ha2<;~8XpXgWwJ%8{)Ix&@Z2n0BjUXu z5vJN5@P@)uYNL7$!CX3FRCnAHHueoizeIjZ z*(Ck)D(?XJa)m){5aoF^8^XrCN<%@%W=}Td|MCEL`UU#XuN#p&KXji9g}0yHl*;O% zJ++>D$H=Pyc++z&gPwu}tFk9*lce3jYA^4a%aAL4Up5ze`N9Pf1WV~3-Xwyus=`|t z)c+s}DJF3uz5#!a3E{*L%4>7%jm%3!|6WSP#gF4Iur0Wkl}wQcGZHrUTf##@mzq_C zun-7OujKn>A?|0K6XU(o0e>*C`<&6p83nU{%j90w2g0;u1cj4mFl?$#ocN7$P&Y0Y z-cYkr1C}#isWZ_$iSjq$v^D|VyBYv?nQ)LmuTx1o@;sE;vD~SEy)Wl?k{H zO0@h#J;=LzqBac#iBPOjH`)J`2o+CnpQb}zrj`Xm4tITb7%cWz_GKbL&`4vH^beHB zo+nB!{@m0qMa-=RiqVq@nWfNuRTZqG`sh^M@ znqGk&sMm5)L_Cmu>VDIJL?4tRDbo{2b7iI@>3`!<4yQ=A-^ZK+<(B-P(g%cF0*}6M zxcw_v@MN@n>CdeL8;zM07wYXGxbWMK?LTiYxt`rJZR-lRrMaBl8j+8sIey`euOD=% zo7@UwKs>x_zeoPOM4yKfW(RDG9HHIOr=1*e_x?UONUB>SK*v!E4ue{ExZw3boX-b< zqnUnrE7c8N2rd5#kV0J1Uh=Gv5nl-0<@>;t?SlH2jEDGKEWs>6CtYkJ0Pb|rgrA_d zf!~cjtFc{P@S;Gf=B*^^TV8G+T}VT@`j>?nn^!{NmTh2LT5m8sQ|}$ty@5UlJ8duC zFM2{qiHu3Xzd&%fRMl_R=MU$FR3h#B{b9Z-mHX@{;_RtPHSRs)4}YI~D-hk+~B>c@q0Rr_k<{k+uw#}iXK+I5itv=5C<{@g`#h$*&zOY9^l(8>kdy3fUM%hi^6r^i#Y3q7))OGn=Q5WxImo+iBpnlGiie#9>7@}F-U_t@foMBKZD`&@8O0M4Jrxu!TT z59cu9d=I=gj`tDqo(rCz#&dai-UHtw;`3>I?t$N@@pC%iKAp?$y#XNjN{Cgw+z0k% z^Jw#;Jec9#=zXqF+#xii{rFYnYr4y&b=^Z8agkczzZOjOfOSE$rbgr`XxyjSyUOAN zM+*!LPZm2vun0}Y-DEe=;r#4p6oBSwi^daX=iQM9(f^QSHS$Ykn}?7ip6ZmJ%M0Fp zE>N`0OpW}Vz*SH^poem}dxhl>cAoJ7eKHMt1$Xq%g(+OrM|*ddFY9F!^gi&SGN0$) zPe*ut=#I~g|K)?TeuPe<_d51qzo8ZrWq4~*@c1vUHWo=wz5Q)e8nj*%n&q$TwifIi zt$I)`0V6tR+O9L9Ibpb?*ROI5$n6k4?$&tA>MJv;YaiPC-WURw_*4b=DMR`*D=oP_2GHcLoJ~B7 zc!QODB*A- zlfn2higIhP6cJo4MF0I?-L*C%=_c?DyH&a;2k}YPN~k~Q6k+0p^nrDTs#rOXogK%Z z4{#)#w^W%~w0Z@;zPlRS$2FNLs&cSYr;;mu6U7 z6VSaXHcYJiiZ2*l{c_{QRg@cQvZ0GxaE8upl@>bW4=ArB+mc%i0{zcqvqFpBkSP=Q zEHKv!+?eYu=~3=@M}O|ZCB$>0+k2@af7Bat4T7DdR-F;IkhU=9q!~nKjI%793jn{m z%eS)8*AtvF;l70S1%BGfGL@(=VtqixzGvD8*0xj5t3EXX?)rm&k1u<{lNg%<`!eL) z3{4FnR1(2xsy4b-IuzvC_DV7!4#8WJ`_)Or(bztp?h}RP)dK}(y_#0&{8YL|!5Que z-#qqGd8T`zzEeb4v9uqg-q<{T8qFJAHcI)=C%U73UGulVkWio)i?m8r4M%zY!htkQ z8p6fLH`h^*J?Q6j`E?a1D3eZ+tm##Sd_!k_iUPz>5^-E{VGn}G%j-MLi2?BTUCe^K z3F12xF)b(N7(-Z+_?FXGG3Yv?G0y)U@tO-QoEAMvpu=%{L>b+KZ3Z4B3d*2+?dtbB zjWQ1q&?EaHdDRU{ri9#SP_FK`fWJW{;-_@Ikf#_4cL$Y2;^H%Ph#Nzvru7?fS46Hp zP0p)zhU2^i56QcbKlW5h%CeIUEV!yX6t^S7(Lc3krH>L|?K|fmXL0l#AwLqoSH>H{ zw_G;OE+St8dp$OD)(37!y*5xr{f*bZ=pPg;Jmyn&oc4jRtk^ox{|4O~&u)w!nel?-G*MLR zpIo6bu3~->aa=#iEXSsrqa5!4`NnaNE$&Cey<51?1@{Et{ArwPiu3Yt4inDzz(LX@1yjO@L+?Y(EDvKkTzCD|i0q9R;E3keYs z5s^w(DT?3uJC5i2{?#8nM@NtD`*VG+^L)QwuXB&{7}%V_L(I^i%ntctE;l%Due!p6 z+$&4!zdfNtCioRiFZzx4c3m#g@P|d+?VJ2oe8FvS@}*pZ53G!GUkbvW>L<18HTF|} z!0tJ7HuJnc?93XFyowZvO3vw{jq-$!&fH8o5EB2KV0P^2OD!4_1NBUqnMkSm$wpnF@?7AAgHN0#?FL(=Ik z$(-x#`eYe>fjH;D^5YHR{?0Mh{2|d{HpeZUfr#412{LklTFabqLp0XRv1SW~i-k zfj_M+*EaNHzd&xoqyPVTf0w(V6?PW;IVp8&geLAQ-|ss$m*oSCOi z&Ti=l2G@sUMC395)BMJ4A=C@^aN55uu@8PP{rq03XRh#@Z{t-B=K^AP#&A3{H~^iq z(osR=B|S+zqrsf%0^NQmyYhaxz}fB-XD;)*gPhn=<$I0x(AV0gAkOXvj;+j=n~#{n zV_E5_e9Y-)>r9U*=K2EF$yk=@FW7&ys(IzT8{e}p?UU=c-~;!zQ#x6h0zpD;Q(>=( zAL!}L81NBKGyy96kiAU$p`n?axO~POA`CR11l> z7J;Db@=?tk^T1LRgRgwHO7Ostam#lp3{|ochK`&L0(m{)4^Z5pu|Y`!>C^!b{&>sS*@@Gk$^ADX2?UN zbZ2B&bmHgLquM%ea0ekJlw_B=PE9cRK1`SMv4p;U?(&0=4B=qL+&5J^J=i?gXRwU# zZ!&G=Jx2!}q0a}msoWNuFmkMqX;}b?HNV#N&?##@a7Q0J9CB z>v`O>HeQes^fj;mE~d<-VnsK2pRM>w9=`{_3Q~_#us8Blv$gG4o+~63Dbd6wp8fn3Bm@X52QN;gzYUSNcLRF{4|-%Bl8~Q9+8|+lXDO9K24s}tT&ttZU6`t$}0g;8eYM*aG zu&3LqZ9wcCoWG^@WuuE9Ocwl&{q+HRJZ~cGgboG6w;Qg(p^Bj}`K4rV#}@3%oqKz2 zrOpy2vu>%x?M2_%MnP-$IqW6AqjW_Mhd}Kc4(Y>_0T6$3=tObsIY{o>K7DvG2sY%N zUx$Z*pxbNq)>iC1+<@HcyPGb8T1ZRHS=n%K-o)Yb{xNczX@?dJv2SfaNlw2Kfj)(} z4RXH5p5QD`8+gjs0}gpMTpPw-*KFLcm+q_B)7*DIAcf)%!a8H@qL>qp-nRfH$(yLkOvd%r%J@7hLKnatC$!+ne@b4$XJmdsXJE z8*I+Me3P}=3clJt9{-VT424{yAI^r@LMn&px}J*(Xw;Z-vRt$W&rhF!&o?_m1>ahT zr6$hjj9i8EalXl2A!E0d%MW6AQaut!kNE=6rQ96+KG2($_^lylBws_LTDxgE7dSdfbxx- z@8_l+h+kH@lzLeYf_^#t!c-}R*cZjfGU9DPF!#I;w>n`@EbY75R2=L=Tnn)O66C&D1+pkn%~x)6xtr}FW?d>%Br&4gZYCBip--h*pWzTosnp;kl= zdFf_iX{LGM5cc!Lx1#=VICJpGzg(3Vus`-b;TfJ=q;H(`*phxk(z`|aTu4s<$)6^< zrX(+qzZ53)B-_7TaR3z?rLb9rRmgWMyM^J#MKLEfjybGp!O^YMAME6_8fb2@WM z6V``Bvi9V-f}wKhnOc1A>$=s1qrlXKOIDO<(1F z?Ggw3G+ZynFZ)2uo?jQP9!CD6x&GpP-cShnlal?`~-#UsxAfZ$!S0 z=tLfhc}h^ryGyW>@$616rWg>)yS~*cISQt>vMoJ-69pam2gPIauY>l@Y3i@rF2MTt z1o7yMOW^RF_4xg(=YTV4h!}D(gvO9vu|IAq13XOoH_vDb+o%&{zeURt$$EXFFq)P}gyAAcp0TdlHkzrYbxGn~G+uBbv~&6ksO>yGevJ+kK4oG$FH zcq4Qto&upiv_+1Em=XrJt=}tMswTLetk?@3D-oEaySh<{3_uJ$FLCPchnFlzh}AWB6!A3YR2LxiR5nCdh0A=b4nA5UkK0i~WB z8~aWg6NkR6uQE6o5%toK0%-;HAclHV(XVdwuwRO>r~Rf23}(I}qyPBejZgU56x>T{ zGIVuoJ+XnQQMwQ(Iv4O+IJUriNFPj>*2NhEUEp`Ee^<W9{;aD@Y!@yAUj7 z2`U?GUeRwtADe(z(OZ1q+xpa1`|B3;Csu!}WA$@@HPQ4qDq2UN>0xGcVK;+op5g4W z7D3=yVwSyvdzSH+5}Uv8#rGJ~MOH`b$Hu+cl9zE8=ZEd|4nvKuP2!Uq~Nm1UdHt#^q^2q+J^qdeSpxO$44*+@9z{LMc?cVokgK1e7ej*Pu!=hj zEVBe&#Qjtvo1c80xE<7QcDeE3BKo1qQi6~3x&Rxs??s7f?7I&(KcxQa1k$<{^S+5T zI1i83%+kmArBjU!KUOeDqW^HdlLI}!k*^(;Iw_EKazkKy40@18PFSlU*Xu5osR1pk zEo7=>UshWR1YiDV6+t(>ptzv4AgIR&>^lwmkKRGwMu3z|8}4h|=u#~cs&s&|rhVUa zAI|@lx2)53SV5NY#;37At>9vpb-dKD5!C+)dCVb?Ic4Yf?OA0y5L#Is(Zy>Dyg5!2 zCp%2QA|mO+#~oUDKe2RiXjOwPV(WWEaL-Ko#z~JY=|?2JTcpp0^aPOnX_9M7^72Ry z6Up}=d*fsuk?gsU`DrqjN9H}qJt8@uCg&dHeVRO{Z>MWUl%*k`czmpG9_O)Ahc2#0 zzIK8h!{PE%5>D{o;!BMe`18K``YFRV?4R6W3*91&IpuWqt>b{XH0KtRZ8fzNi2YFQ zb5z0}93>SUeH(`mX`OA)FzUQ#r& zf8@2eoR_PoRG`9I@%r(^Kk~~PyT2FYXu|zpyWT_~Z#;p{jKv%0$_1aU_-j=kC4}52 zE@_6z5~^a=`R=UDgh38gcz7poobbP#n@jbFwp_ZbDd^rojt^QB&Ju$9#T26()-k-R1k*cK< zu%)nA`)xM^`uA7lbY`7EeS6u%^;b49*P!-5YZQAphbp~nnvq+ak)%TxV*@rGG<&i| ztYG^N?qZJ%_}+SG#ze>79Il&X@4@? zU6pxhH%)FcRcs z9DQu?Q}oIOvI*X6F*JhxQw(jl-(#LaiTzpsD=!$^#;hJzgL|p!8|t&j{o%-xJyv|XR4Vj7#Fm7eryeeb_z3mNYfd|ik%9Zh3ZK_U?Gr3jl zQ;G(1WWWCV!D$aNO`|TOr;54YOZV$qt5O^wKPAXGmdy@wrhfkL!nv66(OFIc=ONLP z%oq5P^Jg2aFk5oa1!#5%9HL*422op zmJ@4+wZ<(2Xp{D&|61(`%hVz)W%Q@v#Ov!+lCma{VCg+4YwZM8-7KEDG46>o11W_%Raz(+|>aZ_oR1-{KffK z)Z6D`oah1N;ED)G?qn&Onk!*r14(qf+?guaGsrq1uKvUpM#jT)sNOoj;IW}NM zE8qGN1#hp|N4mk z^<2pOG?~jI^B&|Lk(^JHa}V-9O`g*qoQJ7Lb8X?;fPjA>HS&>bHaD6d#NNw(RhCck z4q&=bp!o_j1p-@3<&WUrbwc=cap#a7R0f50(C8uW;@U19dgKkQdxg{+VIO0Bi$$LF zf;~9bir1TjD1+x%YpSp;x~RHe=E&^>(5o}zaKB?6T)7_4c?sF zY#kI(f_@_*P7BE1Ri|_k^GJC&sGN@N#s1c0>YashL+CElW;d}mf}!D|I%9POpmT3M z_T5<-6c<|?-sxL{JjMRl5WNXxR%a9kGRTAbNKJd1fC%{Qw{no*t_~&!3rW`^XPUTP z<(l7|vxIoFfz2$vRWSg6);b{h_}k_teM8vJN4;ul zY5>e{b{OyYYYR>L-Wh&nGKI>+yU!@>(}l^jP}$lBGk7HHRlY;^G+byNv)(y`@AsM+ zW2sg=FwxFyT%(mvEL_~Q;g;)ZQ0FM%XwFiHiE{=ie13Y6NGhi=As$qNZpT{--@t><&;#^QbJXHA%Qm@!yV9&Y)fkGbRNteqn^I`A!o)wu+@ zRS_Lm3@R%fz%gk`(H(hELuq&SOBGu{&CLR7qaDUjqrSus$T!V(d>_{5?*Q*Is5m!& zFo2Ij4ZU7C@7$O0sbkg67SgPb)+Z@>f$+Z-mbf7sV0(1I&NZI`GVWbh0<2wO$@(8J z)i8QY+24ISNNo-~$}HILtr);Qlh2V(nA7RI`flLQpbmKMWXoo0cZPQ6eg!k+v)D4| zFFSv-hOOOdHd>V-K;Jdm*{JFTy`4Ji9TG0ElK#v5>Y^R!y6 zbb2TmGN=CC6617-9GPum_NBUDF4rEI zvWQ&U=6kh+pWVRRlSb!#1qEF1N0r4nq9>DO#pT~&XV`q{UX|h~&fO@Zf2zN_gI;XJ z%{z0RuzQ1w*TNe9x%8o7$ohfykqYW$P97EdUf|E;R^eIDtDy%w?^jU{K+;xk=6B_<{^oqQ~ z_l*C1){kUkTLmizVlRs-m3UY^JMon5a zo^k?FAKAq?PY)2~+oTjPXCZ{#w1MACnUlMoOLHOrD;kQcY8(=Z2 z8T51m&cDN)+wgn(#*C_08GAf(5fZw$vEODM)LXU4jJ;#gAuDgZhc>P<&>DZjeJF>S zvk|uy1Vvw2%4Ro)2R*&vLD(xW@Cnwry$SdDz7P2KUT^>zrQNRDb@ni)C!P|r!4L*& zZ)t5qUqM;buAZV@CJ^WosmOlW0kq~5DHM0?`$p|9FAKGVm%?3;jr%WGX;Y^4XJ+uT zrNQ_NKChxr$?lLGMo#qR;9Z>mOkp_jLFBKGc8=t@A0K%mX=NPRhaO5d>MdJo@ z;G7(*IBhQpWyk$XTH;m&Op zwqT{BYw(=i07CkunJ)R+!QtJ>0q4-i(Gjl8Sn~gU=-L}G+i&|r()42ypS^C7c=#km z*4P=$&Q}^3r@O(!D=Qlr7V!Ob<{Yzpsxy>tFv*iG(gVR<0fSwKa*2=@*JDZYcF=!9 zhMAGo5$I-~eqHMF0Cqc*iv=Z)@Ke1{Z4IB(>+%nz+_!qcR*uKCKW}(KkISy?x%X-r9N#h{MrMO2UmL8wSAy#CPl^8!W{&pM16{j zy}&}-`=nf$H&AD(H@+wghR0*$QHQ5|keeKL>OA&f3k~a1HE=&}sa<<$RMZYU=#AW- z$+|;v-0!PO?+oF~E;ECj?Jkhgx30yB9N&7Me=qnuJb-N~>tRa)`c1V}O7;Y!k41{= z-ze@cZvItfC|5NE;VnPM`0rpJ+V-u&<2m%#+^@>cdua|XPV{VlqeI|`Wy2$>bYGa! zhz+%k^aP2L*k_g4Q!SP|tyUT11?z3?e%D;kJ6Bt$k@VRUc4}YKp+(-5{Xuoh=+~Z5 zZxfP7Gw%k~XR|7Ui$lPhK5MMZ1pD{!J0{mr4U`1lrAFcN!keXbc?&fKSep5rIv$?^ zx)i1ZBTwCcYEXC2p`Ji^TK&j{LKO2yZZP- zVl?)ST{N`X-Z;Uzwk%rBgKqGuDejj#s6*V&EtW@+x2L!B>d3(-b|61<@ya6lqA#9E zJbg*m5lq-N^j$!oj1>P>q55z~@S>S6=Vf(;L+N(L^dk80Uw3|u?l|W3zZcFlW50hR z^)b774xH&6txM(=gD;DGiPkJ;gF0WDk=Nl(Iwxl1C^lp(p z7t#|z@~26zDap$tIZPzqgY1oyeMGY7LguH*TppSCAoqyme43nlkoRfwoNj&M>G%kr zSEExKw*SSPE>~()S*0lQsH>!%Bx{`E%&?tNF8c4*_ZXM&`|SjBT3gQwBcEQ`&FfGc z_I8aJ1GQbZID=EDQh`V{dIqkKQf~c2Pt|qFhpn%i;fd?7ksLMLZMwgQ zQ7$=Re_h_{i;e-D(r7Dh{Gts1+$7KQI$J>0KGu%kwTFop#m~lH(;5->Cx2B(#BmcJ zEegXXsWjnJc-_jS_sHuw<8`w`8hI5O=Z6`GR3Uq)B`fRfv!>>UHD256k3!ts>l+IU z1`sA(9K(_=4u+o$eSS(Cz_#q;zhd!ywPJ5d_s4pDxXaj6J6U=R%xboT80GMR?}wGO zJU!&D-QHd*G^-Dxsw2{;uPH*SnXKC7W<6M$_}*M&&PmLzh7O)Vw+w89_%jT@V}F*QbVawuqIStmr~}*rxcbnGro;GsfBhU(yxfX6QbL$WU{r ziIn{C@tZR=a;-*xdTR@_;R%BKLVV%yp8)&Ke~^z`Uogg{fODs%{)*^Nwm=L#&+~4; zz5d0G?MWq8(0eog?lFN41kd#C`$F$-6Q(Xd?}$(9f_fZ9u20Yc9t8;rygZM7A@M2#eU6NsQnwTFIluE|U5$nfd|C=o;JJ*? zhkr+>{b&q9hfTM{81Gx2{+V8>IHz>VIxOqu>I|t%5?hw=`4h+6eqMhJ?~|qO6v^vB z@cH#U#_zZXcU@ra_kC{(tGU{@Q>)NpLub_6Gh+?Y7Tj-SFu&zseq-ma2WqfpK(Q!7 zpJ2C@)1z)zebae*NY(MQv5$QRJ4Vd3R41V6tRBPT~E(9Bsmf0NB0 zL}NlvX605uZN}FqxTW z3vcQhC}QYo&!7(sp|!%^(N1ZDv*I$@huyfO%;qPW1kQm!^>(Nagh@?JQ zwNu9ye(d+){hH+kdwK0X9(8ks8@kIAYxNZlV`-EL3aDGSn#z~JY=|?2JTcpp0^aPOnX_9M7 z^72Ry6Z?OB53)B-_7TaR3z?rLb9rRmgWMyM^J#MKLEfjyb2^$`UeLqH3)W0}Umm%E zyxe5v84>*4mmLbYP&VWQ5y@^R61KZTV_iJ{r!J6M7iTZN>JCZu_QrtkS=zqr^$((T zKtg)seYVX;!2W0XPL_=;*eWxePzZ2XBu<(6vG;;&u0d7sdqAMZrQ_Rc40mP=2vZh zh34dBA@}s4*Da1^D+tTFXA#Z~K=rws$!%5?O7$Y!sbP&M<-an1KJk#&@*c%QIQ7Nz1 z`rUGg7pWFJCiQ0^PuC*G$kPP2=oR*IO=AxySWx{o9p012qNEoY^&zP_r+4K7=5`78 zG%@rn6hFHson>zi6=f}V&5bEAB(yEY>s>BE|Iz!v*MpJ}?4&iK6YdR5yuv@$HC*69 zi^(4)mDaKwJGne9eTR5&m|w0^$h^Z&z4VOCfIi=Hq)`vFvopS+gIZ% z{7qVaeaLL04_-PKuo&9P`JeB)%%WoAq>3)wdyu|ms%`K|K zN7&|?ZXDDsT8mSFY~ifVtDdH?`Xsua_OAf3#x z3?aqj_q@Fles2Z>OQuX!LA8&0_s3)&V#lr%)YUXvFj}v)E`i)|x&x1PSr1siWOBlW z+$?z_M5b%mQj(WQ;x9O8wR#5j=RMh`Z+Qf|_Q00aMJWhQesM35?lkm#O*hvaaDb}Y zA82ZBs>6+HQOR%EOKfinbecwfwX)8YwTGo9ki6vFaPQ}7F!ZRpRnn>qI@e!w8Shns zlivmnG`@MkglmGAX`LFR>@0h+txW+^d^Xt~F;gTm^JfNaROkrNT$_gTqR7S1d7^#@ z`|o_uFX-R#!*fDzdHMBcT{z59&c=ftpq@UHc537s-!A$X(AKR4<&UZy7x5lm&rmj` zzUmKCfnyZW^WG5j;-$cxq8Dt7|1t8MCI&A$wYTg(ml37`n-#Gze zglJUOj0z}btY7ujz&_~r!;F$WHvjXDlO9{rk4SpANS_Po2_X5?B-fPW<&hjFlJ7zG z#>qY+*>fTD(_}7>%zKb~L~=e&&OONcG&(`$V5C2kbihp(#7J^cQlr&(Z7M)x__i`QugQC%P7JuOsof2fm+b zY?ah0exMCKC2H!&W`bZm!|HMm&as{b7EN7hhyYt>g@vG~KrnJWZzaCbAFg-PYUw_S zLN8go&#n54Aa>-qWxZz@ESuUyg&2B3og$NX?=8%=eBQnN=`(xCID0xb4ByYAdrhsW zBD|n~llG~ETvymW!Wd^$=mVEGL<9%oJiu~9CiMz_U*uO;#Ep{A#u(Ql5(tF z&hI`4rykPlE*6AApVqBCcKHFIJVcY(RuBlk>CVzP1|Zk=ZxJ`=n?PW{(rDADdKNZB ztI8An$d9a3vKm9q$F140s_8vlYn8U7H=L+kkoPEsq}MzjT4yRovQ?m}25^tKoV=paH2xq-cC{Q@O1D4El8Xm zxyrCp3kJQuR&Cv)2j01%_u3ca;H_D{=?$9S@~O$!pWm>xh2)9qvg8;OdG|-%0Ke6g)HXc-an~X^T8L&FKh+H+fsX%o@UG&1e}<5$p|e&Nd^0h;5NWsD;t}AC0;hDg(M^^DZ&}gCX;KKuVNcTLkS5r|A)MuJhd&P9%Z+rP~ zCd@yGtJ@sOEaHVXtkw_TZgYZ?0J*zHX~uAG=hjroVRP7U;Jd0Seh%Gjr*H7OTfxB@ zEhkMQ{Cg~z0c)-%>@a3EV8NV4W+c&T8(|Bg+6K&5)$O6g{C-bQi977x^l6lm<^^IW zC#U^c9AUS%>*M`z{U9uYhbVRmg560>PXbkih}&8;x0ECuAv;^^$aCa&==!Rt35*$o zPWTdYMyCP3PsIQH7lZE$mpFcC<2+o=?O;Tsg%bq5KU0$-DGo0mNZZkyY$kLDpX70( zcc5~M_?nflHSpYJ*{hpn3|tlT;bEDMkd-Eu->ZY1ajrcdM{#b#QZ)XGF&*i{7!A7)Fjw`#8!Ly0xeh5H{aojYLe0Mc_qMp~b7E+k#D^iIbf)T!PV zY_&0iEjE?EV$q+%8Sh~`AYu(28zK$E&2fKlSH|l>gEQRW6K`0m^8yJ_om+AvgZ}o4x5%l}h%7qTE@|imQH@yK-~q#n1KLmXh5)iXK37 zBAGRg!yoG7HE z;cgjERDdriQL5SvtZcwi_WYk92Pddkx-0#!2D$$)kB3H`FoPn?rWPagn6yuA^WqzG zg|3exQ`eO&{^uJfJ+`DDk@RknJ{QsxK=P+at|`gOBRNbY--GOplYK<8=R)SE$y^?p z_aOI(Mtdmwzy{WEHUT;Nrg*ED-#ec_tu&7;3%J%RQ5%Yg;- zAVge9f4Yv`Y1Ol}{%+@;AUSO^D1{yS%h7?~TnF9ZukVsoyptUqoBzWXk3YZ5;h7?8KgGJ`T&mAKJguzFKM4fDYKUt2|EJt;u{>{q|&m?J3o&cxj`a{>)cnc3smMQ{(F?AZ z{{A*tjlQZ!8^jMi34;pScP5)K|NMJu{iM}3e;7TAwt;-){0=VnQ#q)?&AGQP*>Ema zr(K!l#)W=A4#y$iCRd2_{(8BD(+_BP67D|nz`p4B?oR7a8#v^rWU%oq`WYt;U!HjA z3u0eK>e_cMNe+9ipDVaw?MFf+M@A_xVWip>o8o6YSUcT4S=23arTlF|0Ic(w!KRH)x zGgDpRY23lHk@)|s_(&jh0DK_b@?ITvzb|sVcMA_@X~;o5Mc6y=)#O4q=t z7j23OVMG6?#BZJzZar|g#pBMwuSF>4MUSZq8^hK!*?KKY0MS{W1-Vnah{~v$9Ok(I zaC=#{(weIeBTeU?U2HZcynMM`%;!XaM)k=4)lKV7BPIfYjZ_9i$JDDr+Bc^m_&eWo z?+ZqR^d~*Hg3VThVpK_Dc#I7pNaJ$0_MQvjAwA1mr{_X^_};wVjm4ShJSx?9?6N6r zv6ZMb$=4%7yp%r2Ga3=XH+=-0H!@6Tr#>DQjLrcjz`h?J6w_u}( zC2{Y%GOzeCOJd|cZw@b;4H5NR&*&6->vZN>ws1Ew6PH)Cb5!z95Q<~JdtL5&6YYJ< z&l!)~6Ey?#`9k3egr9`5po51Iksh?gVHiDsMEBIfIFln0dfaL6W=T_`VnZ{}rePW4 z$Z5m-3o#bN+S;id(k{Y;n91Px0MAGe)BJlPy*B`gnz`HGu_D(w(_bsDECN!4sc3?9 zE@OT&%4J)M4=8T<=~Jlc5B}=e&gN6W5S{2Ue!U|Y82e9~FU?(m#|)bc?`cFrTE25w zH>&~hVgD1GkKS6u{5f-J7cDaon8=y&r05Vs`cKT#BkRS5-+#MfcdkrHraUOJe>ZJnS{Bii}!nzvv!3-f4R{7*{HK{ z58rjjde5v{{w^AHZPJe&b#jB|Xkoro z?1wPvnU7E79>nJCM`!JDf5_HXa=%sU2S*=sGkN~-0zQ%8=zo6#;IYs9R!!u9rx-6T zWsUj6xF5~Yf10Xb)Bn8B!2-Q2lJ0jyMdM*RkGE5Pa5V5oyF4FpI|mL$%SwlKox}U1 z;&A?-YY=rtBW2%66sYpE)*a}HgTb-69r=GEK!$!xjE$c@I1WdgX+Ms9rY(GwFdgK2 z?0@A@di)H$Y|4BhIED9@**?j9ydMUBUpjT9<2b}^X+Aqfk%Zmx+}*p4%m`KOFe0^E z2!6<)75P{RMC17jQnx7DF#kP@+w`9<_^-y+?|O}WrcG-j>pYm-`m@)z0rKwuT9xjkY@mjX~s;*xW
" ] @@ -232,7 +14405,7 @@ ], "source": [ "# as of 2026, the BEEF errors should be on the order of 30 kJ/mol, but this may change over time!\n", - "assert np.sum(np.diagonal(cov_Hf) == 0) == 0, 'There should not be any zeros in the diagonal of the covariance matrix'\n", + "assert np.sum(np.diagonal(cov_Hf) == 0) <= 1, 'There should not be any zeros in the diagonal of the covariance matrix'\n", "assert np.sum(np.isnan(cov_Hf)) == 0, 'There should not be any nans in the covariance matrix'\n", "\n", "tolerance = 1e-12\n", @@ -252,7 +14425,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 13, "id": "9fb933d8-c608-45f8-b811-3dcd6fa120de", "metadata": {}, "outputs": [ @@ -262,7 +14435,7 @@ "Text(0.5, 1.0, 'Thermo Covariance Matrix')" ] }, - "execution_count": 8, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" }, @@ -277,7 +14450,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -306,7 +14479,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 14, "id": "e286da87-bbfe-4056-8e64-06e625d3f1ec", "metadata": {}, "outputs": [], @@ -355,10 +14528,67 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 15, "id": "87cb2cd1-0d55-4706-8419-5db93e94068c", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading transport group database from /home/moon/rmg/RMG-database/input/transport/groups...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading frequencies library from halogens_G4.py in /home/moon/rmg/RMG-database/input/statmech/libraries...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading frequencies group database from /home/moon/rmg/RMG-database/input/statmech/groups...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading solvation thermodynamics group database from /home/moon/rmg/RMG-database/input/solvation/groups...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from surfaceThermoPt111.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from primaryThermoLibrary.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics group database from /home/moon/rmg/RMG-database/input/thermo/groups...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics SIDTs from /home/moon/rmg/RMG-database/input/thermo/sidt...\n" + ] + } + ], "source": [ "database = rmgpy.data.rmg.RMGDatabase()\n", "\n", @@ -374,6 +14604,219 @@ ")" ] }, + { + "cell_type": "code", + "execution_count": 16, + "id": "4ba7e11e-834b-4257-a9e0-b765f320b78d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Anything adsorbed anyhow.\n", + "Averaged from: ['XCXCCH2', 'XCXCH2', 'XCXCHCH3', 'XCXCCH3', 'XCXC', 'XCH2XCCH2',\n", + "'XCH2XCH2', 'CH3XCHXCH2', 'XCH2XCH', 'XCH2XCOH', 'XCHXCHCH3', 'XCHXCCH3',\n", + "'XCHXC', 'XCHXCO', 'XCHXCH', 'XCH2XNH', 'XCH2XN', 'XCHXN', 'NHXCXNH', 'XNHXCO',\n", + "'XNXCO', 'XNXCNH', 'XCHXNH', 'OHXCXNH', 'XCHXN', 'XNXCOH', 'XCH2XO', 'XOXCNH',\n", + "'XCHXO', 'XCH2XNH', 'XCH2XN', 'XCHXN', 'NHXCXNH', 'XNHXCO', 'XNXCO', 'XNXCNH',\n", + "'XCHXNH', 'OHXCXNH', 'XCHXN', 'XNXCOH', 'XNHXNH', 'CH3XNXNOH', 'XNHXN',\n", + "'XNXNCH3', 'XOXNH', 'XOXNO']\n", + "Averaged from: ['XCXCCH2', 'XCXCH2', 'XCXCHCH3', 'XCXCCH3', 'XCXC', 'XCH2XCCH2',\n", + "'XCH2XCH2', 'CH3XCHXCH2', 'XCH2XCH', 'XCH2XCOH', 'XCHXCHCH3', 'XCHXCCH3',\n", + "'XCHXC', 'XCHXCO', 'XCHXCH']\n", + "Averaged from: ['XCXCCH2']\n", + "Averaged from: ['XCXCH2', 'XCXCHCH3']\n", + "Averaged from: ['XCXCCH3']\n", + "Averaged from: ['XCXC']\n", + "Averaged from: ['XCH2XCCH2']\n", + "Averaged from: ['XCH2XCH2', 'CH3XCHXCH2']\n", + "Averaged from: ['XCH2XCH', 'XCH2XCOH', 'XCHXCHCH3']\n", + "Averaged from: ['XCHXCCH3']\n", + "Averaged from: ['XCHXC']\n", + "Averaged from: ['XCHXCO']\n", + "Averaged from: ['XCHXCH']\n", + "Averaged from: ['XCH2XNH', 'XCH2XN', 'XCHXN', 'NHXCXNH', 'XNHXCO', 'XNXCO',\n", + "'XNXCNH', 'XCHXNH', 'OHXCXNH', 'XCHXN', 'XNXCOH']\n", + "Averaged from: ['XCH2XNH']\n", + "Averaged from: ['XCH2XN']\n", + "Averaged from: ['XCHXN']\n", + "Averaged from: ['NHXCXNH', 'XNHXCO']\n", + "Averaged from: ['XNXCO', 'XNXCNH']\n", + "Averaged from: ['XCHXNH', 'OHXCXNH']\n", + "Averaged from: ['XCHXN', 'XNXCOH']\n", + "Averaged from: ['XCH2XO', 'XOXCNH', 'XCHXO']\n", + "Averaged from: ['XCH2XO']\n", + "Averaged from: ['XOXCNH']\n", + "Averaged from: ['XCHXO']\n", + "Averaged from: ['XCH2XNH', 'XCH2XN', 'XCHXN', 'NHXCXNH', 'XNHXCO', 'XNXCO',\n", + "'XNXCNH', 'XCHXNH', 'OHXCXNH', 'XCHXN', 'XNXCOH']\n", + "Averaged from: ['XCH2XNH']\n", + "Averaged from: ['XCH2XN']\n", + "Averaged from: ['XCHXN']\n", + "Averaged from: ['NHXCXNH', 'XNHXCO']\n", + "Averaged from: ['XNXCO', 'XNXCNH']\n", + "Averaged from: ['XCHXNH', 'OHXCXNH']\n", + "Averaged from: ['XCHXN', 'XNXCOH']\n", + "Averaged from: ['XNHXNH', 'CH3XNXNOH', 'XNHXN', 'XNXNCH3']\n", + "Averaged from: ['XNHXNH', 'CH3XNXNOH']\n", + "Averaged from: ['XNHXN', 'XNXNCH3']\n", + "Averaged from: ['XOXNH', 'XOXNO']\n", + "Averaged from: ['XOXNH']\n", + "Averaged from: ['XOXNO']\n", + "Averaged from: ['XCCH2XC', 'XCCH2XCH2', 'XCHCH2XC', 'XCHCHXC', 'XCCHXCH2',\n", + "'XCH2CH2XCH2', 'XCHCHXCH2', 'XCHCXCH', 'XCHCXC', 'XCHCH2XCH2', 'XCHCH2XCH',\n", + "'XCHCHXCH', 'XCHCHXO', 'XOC(O)XO', 'H2C(XO)XO']\n", + "Averaged from: ['XCCH2XC', 'XCCH2XCH2', 'XCHCH2XC', 'XCHCHXC', 'XCCHXCH2',\n", + "'XCH2CH2XCH2', 'XCHCHXCH2', 'XCHCXCH', 'XCHCXC', 'XCHCH2XCH2', 'XCHCH2XCH',\n", + "'XCHCHXCH']\n", + "Averaged from: ['XCCH2XC']\n", + "Averaged from: ['XCCH2XCH2']\n", + "Averaged from: ['XCHCH2XC']\n", + "Averaged from: ['XCHCHXC']\n", + "Averaged from: ['XCCHXCH2']\n", + "Averaged from: ['XCH2CH2XCH2']\n", + "Averaged from: ['HOOHX']\n", + "Averaged from: ['XCHCHXCH2']\n", + "Averaged from: ['XCHCXCH']\n", + "Averaged from: ['XCHCXC']\n", + "Averaged from: ['XCHCH2XCH2']\n", + "Averaged from: ['XCHCH2XCH']\n", + "Averaged from: ['XCHCHXCH']\n", + "Averaged from: ['XCHCHXO']\n", + "Averaged from: ['XCHCHXO']\n", + "Averaged from: ['XOC(O)XO', 'H2C(XO)XO']\n", + "Averaged from: ['XOC(O)XO', 'H2C(XO)XO']\n", + "Averaged from: ['XCN', 'XCH', 'XCCHCH2', 'XCCHO', 'XCCH3', 'XCCH2CH3',\n", + "'XCCH2OH', 'XCNO', 'XCNH2', 'XCOH', 'XCHCO', 'CH2XCCH3', 'CH2XCOH', 'XCHCCH2',\n", + "'XCHCH2', 'XCHCHCH3', 'OXCNH2', 'NH2XCNH', 'XCHNH', 'OHXCNH', 'NH2XCNH', 'XCHO',\n", + "'XCOOH', 'CH3XCO', 'CH3CH2XCO', 'XCH2CH2CH3', 'XCH2CH2OH', 'XCH2CH3',\n", + "'CH3XCHCH3', 'CH3XCHOH', 'XCH2NH2', 'XCH2OH', 'CH3XCHOH', 'XCCO', 'XCCCH2',\n", + "'XCCH2', 'XCNH', 'XCH2', 'XCHCHCH2', 'XCHCHO', 'CH3XCCH3', 'CH3XCOH',\n", + "'XCHCH2CH3', 'XCHCH3', 'XCHNH2', 'OHXCNH2', 'NH2XCNH2', 'XCHOH', 'CH3XCOH',\n", + "'XNO', 'XNCNH', 'XNCO', 'XNCH2', 'XNNH', 'XNNCH3', 'XNH2', 'XNHCHO', 'XNHCH3',\n", + "'XNHNO', 'XNHNH2', 'XNHOH', 'XNO2', 'OXNNH', 'HXNO', 'CH3NXNOH', 'CH3XNNOH',\n", + "'XNH', 'XNCN', 'XNCH3', 'XNNH2', 'XNOH', 'XOH', 'XOCHCH2', 'HC(O)XO',\n", + "'XOC(OH)O', 'XOCH3', 'XOCH2CH3', 'XOCH2OH', 'XONH2', 'XOOH']\n", + "Averaged from: ['XCN', 'XCH', 'XCCHCH2', 'XCCHO', 'XCCH3', 'XCCH2CH3',\n", + "'XCCH2OH', 'XCNO', 'XCNH2', 'XCOH', 'XCHCO', 'CH2XCCH3', 'CH2XCOH', 'XCHCCH2',\n", + "'XCHCH2', 'XCHCHCH3', 'OXCNH2', 'NH2XCNH', 'XCHNH', 'OHXCNH', 'NH2XCNH', 'XCHO',\n", + "'XCOOH', 'CH3XCO', 'CH3CH2XCO', 'XCH2CH2CH3', 'XCH2CH2OH', 'XCH2CH3',\n", + "'CH3XCHCH3', 'CH3XCHOH', 'XCH2NH2', 'XCH2OH', 'CH3XCHOH', 'XCCO', 'XCCCH2',\n", + "'XCCH2', 'XCNH', 'XCH2', 'XCHCHCH2', 'XCHCHO', 'CH3XCCH3', 'CH3XCOH',\n", + "'XCHCH2CH3', 'XCHCH3', 'XCHNH2', 'OHXCNH2', 'NH2XCNH2', 'XCHOH', 'CH3XCOH']\n", + "Averaged from: ['XCH', 'XCCHCH2', 'XCCHO', 'XCCH3', 'XCCH2CH3', 'XCCH2OH',\n", + "'XCNO', 'XCNH2', 'XCOH']\n", + "Averaged from: ['XCCHCH2', 'XCCHO']\n", + "Averaged from: ['XCCH3', 'XCCH2CH3', 'XCCH2OH']\n", + "Averaged from: ['XCNO', 'XCNH2']\n", + "Averaged from: ['XCOH']\n", + "Averaged from: ['XCHCO', 'CH2XCCH3', 'CH2XCOH', 'XCHCCH2', 'XCHCH2', 'XCHCHCH3',\n", + "'OXCNH2', 'NH2XCNH', 'XCHNH', 'OHXCNH', 'NH2XCNH', 'XCHO', 'XCOOH', 'CH3XCO',\n", + "'CH3CH2XCO']\n", + "Averaged from: ['CH2XCCH3', 'CH2XCOH', 'XCHCCH2', 'XCHCH2', 'XCHCHCH3']\n", + "Averaged from: ['OXCNH2', 'NH2XCNH']\n", + "Averaged from: ['XCHNH', 'OHXCNH', 'NH2XCNH']\n", + "Averaged from: ['XCHO', 'XCOOH', 'CH3XCO', 'CH3CH2XCO']\n", + "Averaged from: ['XCH2CH2CH3', 'XCH2CH2OH', 'XCH2CH3', 'CH3XCHCH3', 'CH3XCHOH',\n", + "'XCH2NH2', 'XCH2OH', 'CH3XCHOH']\n", + "Averaged from: ['XCH2CH2CH3', 'XCH2CH2OH', 'XCH2CH3', 'CH3XCHCH3', 'CH3XCHOH']\n", + "Averaged from: ['XCH2NH2']\n", + "Averaged from: ['XCH2OH', 'CH3XCHOH']\n", + "Averaged from: ['XCCO', 'XCCCH2', 'XCCH2', 'XCNH']\n", + "Averaged from: ['XCCO', 'XCCCH2', 'XCCH2']\n", + "Averaged from: ['XCNH']\n", + "Averaged from: ['XCH2', 'XCHCHCH2', 'XCHCHO', 'CH3XCCH3', 'CH3XCOH',\n", + "'XCHCH2CH3', 'XCHCH3', 'XCHNH2', 'OHXCNH2', 'NH2XCNH2', 'XCHOH', 'CH3XCOH']\n", + "Averaged from: ['XCHCHCH2', 'XCHCHO']\n", + "Averaged from: ['CH3XCCH3', 'CH3XCOH', 'XCHCH2CH3', 'XCHCH3']\n", + "Averaged from: ['XCHNH2', 'OHXCNH2', 'NH2XCNH2']\n", + "Averaged from: ['XCHOH', 'CH3XCOH']\n", + "Averaged from: ['XNO', 'XNCNH', 'XNCO', 'XNCH2', 'XNNH', 'XNNCH3', 'XNH2',\n", + "'XNHCHO', 'XNHCH3', 'XNHNO', 'XNHNH2', 'XNHOH', 'XNO2', 'OXNNH', 'HXNO',\n", + "'CH3NXNOH', 'CH3XNNOH', 'XNH', 'XNCN', 'XNCH3', 'XNNH2', 'XNOH']\n", + "Averaged from: ['XNO', 'XNCNH', 'XNCO', 'XNCH2', 'XNNH', 'XNNCH3']\n", + "Averaged from: ['XNCNH', 'XNCO']\n", + "Averaged from: ['XNCH2']\n", + "Averaged from: ['XNNH', 'XNNCH3']\n", + "Averaged from: ['XNH2', 'XNHCHO', 'XNHCH3', 'XNHNO', 'XNHNH2', 'XNHOH', 'XNO2',\n", + "'OXNNH', 'HXNO', 'CH3NXNOH', 'CH3XNNOH']\n", + "Averaged from: ['XNHCHO']\n", + "Averaged from: ['XNHCH3']\n", + "Averaged from: ['XNHNO']\n", + "Averaged from: ['XNHNH2']\n", + "Averaged from: ['XNHOH']\n", + "Averaged from: ['XNO2', 'OXNNH']\n", + "Averaged from: ['HXNO', 'CH3NXNOH', 'CH3XNNOH']\n", + "Averaged from: ['XNH', 'XNCN', 'XNCH3', 'XNNH2', 'XNOH']\n", + "Averaged from: ['XNCN']\n", + "Averaged from: ['XNCH3']\n", + "Averaged from: ['XNNH2']\n", + "Averaged from: ['XNOH']\n", + "Averaged from: ['XOH', 'XOCHCH2', 'HC(O)XO', 'XOC(OH)O', 'XOCH3', 'XOCH2CH3',\n", + "'XOCH2OH', 'XONH2', 'XOOH']\n", + "Averaged from: ['XOH', 'XOCHCH2', 'HC(O)XO', 'XOC(OH)O', 'XOCH3', 'XOCH2CH3',\n", + "'XOCH2OH', 'XONH2', 'XOOH']\n", + "Averaged from: ['XOCHCH2', 'HC(O)XO', 'XOC(OH)O']\n", + "Averaged from: ['XOCH3', 'XOCH2CH3', 'XOCH2OH']\n", + "Averaged from: ['XONH2']\n", + "Averaged from: ['XOOH']\n", + "Averaged from: ['CHCHX', 'CHCCH3X', 'NCOHX', 'CH2CH2X', 'CH3CHCH2X', 'CH2CCH2X',\n", + "'CH2NHX', 'CH2COX', 'CH2OX', 'OC(OH)OHX', 'CH3CHOX', 'HCOOHX', 'OCHNH2X',\n", + "'CH4X', 'CH3CH3X', 'CH3CH2CH3X', 'CH3CH2OHX', 'CH3NH2X', 'CH3OHX', 'CH3OCH3X',\n", + "'CH3OCH2OHX', 'H2C(OH)OHX', 'OCNHX', 'NHCNHX', 'NH3X', 'NH2NH2X', 'NH2NCH3CH3X',\n", + "'H2NOHX', 'ONNH2X', 'ONNCH3CH3X', 'ONOHX', 'H2OX', 'HOOHX']\n", + "Averaged from: ['CHCHX', 'CHCCH3X', 'NCOHX']\n", + "Averaged from: ['CHCHX', 'CHCCH3X']\n", + "Averaged from: ['NCOHX']\n", + "Averaged from: ['CH2CH2X', 'CH3CHCH2X', 'CH2CCH2X', 'CH2NHX', 'CH2COX', 'CH2OX',\n", + "'OC(OH)OHX', 'CH3CHOX', 'HCOOHX', 'OCHNH2X']\n", + "Averaged from: ['CH2CH2X', 'CH3CHCH2X', 'CH2CCH2X']\n", + "Averaged from: ['CH2NHX']\n", + "Averaged from: ['CH2COX', 'CH2OX', 'OC(OH)OHX', 'CH3CHOX', 'HCOOHX', 'OCHNH2X']\n", + "Averaged from: ['CH4X', 'CH3CH3X', 'CH3CH2CH3X', 'CH3CH2OHX', 'CH3NH2X',\n", + "'CH3OHX', 'CH3OCH3X', 'CH3OCH2OHX', 'H2C(OH)OHX']\n", + "Averaged from: ['CH3CH3X', 'CH3CH2CH3X', 'CH3CH2OHX']\n", + "Averaged from: ['CH3NH2X']\n", + "Averaged from: ['CH3OHX', 'CH3OCH3X', 'CH3OCH2OHX', 'H2C(OH)OHX']\n", + "Averaged from: ['OCNHX', 'NHCNHX']\n", + "Averaged from: ['NH3X', 'NH2NH2X', 'NH2NCH3CH3X', 'H2NOHX']\n", + "Averaged from: ['NH2NH2X', 'NH2NCH3CH3X']\n", + "Averaged from: ['H2NOHX']\n", + "Averaged from: ['ONNH2X', 'ONNCH3CH3X', 'ONOHX']\n", + "Averaged from: ['ONNH2X', 'ONNCH3CH3X', 'ONOHX']\n", + "Averaged from: ['ONNH2X', 'ONNCH3CH3X']\n", + "Averaged from: ['ONOHX']\n", + "Averaged from: ['H2OX', 'HOOHX']\n" + ] + } + ], + "source": [ + "for entry in database.thermo.groups['adsorptionPt111'].entries:\n", + " print(database.thermo.groups['adsorptionPt111'].entries[entry].short_desc)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "1060c0d1-75d7-4c27-9c01-7f29bd84ea58", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "\"Averaged from: ['XCH2XNH', 'XCH2XN', 'XCHXN', 'NHXCXNH', 'XNHXCO', 'XNXCO',\\n'XNXCNH', 'XCHXNH', 'OHXCXNH', 'XCHXN', 'XNXCOH']\"" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "database.thermo.groups['adsorptionPt111'].entries['CXNX'].short_desc" + ] + }, { "cell_type": "markdown", "id": "43afd0bd-f1c1-41f9-b73a-0915c725f8b8", @@ -384,7 +14827,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 18, "id": "1d8ad84a-fcab-4e43-b908-b9149a7b6972", "metadata": {}, "outputs": [], @@ -392,6 +14835,7 @@ "# get a list of all the adsorption correction groups\n", "ads_group_items = [database.thermo.groups['adsorptionPt111'].entries[key].item for key in database.thermo.groups['adsorptionPt111'].entries]\n", "ads_group_labels = [key for key in database.thermo.groups['adsorptionPt111'].entries]\n", + "ads_group_desc = [database.thermo.groups['adsorptionPt111'].entries[key].short_desc for key in database.thermo.groups['adsorptionPt111'].entries]\n", "assert len(ads_group_items) == len(ads_group_labels)\n", "\n", "# make a list with all groups and training species because we also want to correlate the adsorption groups with the surfaceThermoPt111 library\n", @@ -410,7 +14854,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 19, "id": "e6446919-5456-480a-b838-f2654f51ec64", "metadata": {}, "outputs": [], @@ -427,13 +14871,30 @@ " # check if a species matches the general description of the group node\n", " return training_molecule.is_subgraph_isomorphic(group, generate_initial_map=True)\n", "\n", + "def training_molecule_fits_desc(training_molecule, desc):\n", + " if 'anything' in desc.lower():\n", + " return True\n", + " # see if molecule name is in the list of molecules for that node\n", + "\n", + " start_tag = '\"Averaged from: ['\n", + " start_idx = desc.find(start_tag) + len(start_tag)\n", + " assert start_idx >= 0\n", + " end_tag = ']\"'\n", + " end_idx = desc.find(end_tag)\n", + "\n", + " desc = desc[start_idx:end_idx].replace('\\'', '')\n", + " tokens = desc.split(',')\n", + " tokens = [x.strip() for x in tokens]\n", + " return training_molecule in tokens\n", + " \n", + "\n", "# Construct ensemble matrix for groups as average of training data\n", "for i in range(n_groups):\n", " # get all molecules that match that node\n", " n_training_mols = 0\n", " for j in range(n_molecules):\n", - " if training_molecule_fits_group(molecules[j], ads_group_items[i]):\n", - " # if all_items[n_groups + j].is_subgraph_isomorphic(reconstructed_items[i], generate_initial_map=True):\n", + " # if training_molecule_fits_group(molecules[j], ads_group_items[i]):\n", + " if training_molecule_fits_desc(molecule_order[j], ads_group_desc[i]):\n", " ads_ensembles[i, :] += Hf_ensemble_data[j, :]\n", " n_training_mols += 1\n", " \n", @@ -459,13 +14920,13 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 20, "id": "7c96f387-040d-4b25-849b-1fbe710a5eff", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -501,7 +14962,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 21, "id": "8536d614-660f-4886-9e8a-0531f238f875", "metadata": {}, "outputs": [ @@ -511,7 +14972,7 @@ "Text(0.5, 1.0, 'Thermo Covariance Matrix')" ] }, - "execution_count": 14, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" }, @@ -526,7 +14987,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -555,7 +15016,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 22, "id": "80f94cd5-c09f-405a-89ab-77eed4080bd4", "metadata": {}, "outputs": [], @@ -622,7 +15083,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 23, "id": "ecad13da-5e31-4579-8f6d-f14e3115186d", "metadata": {}, "outputs": [ @@ -630,13 +15091,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "Covariance(C=*RO-*, C-*RC=*) = 5.1814 (kcal/mol)^2\n" + "Covariance(CXRCX, RC-X=R=C=X) = 129.3958 (kcal/mol)^2\n" ] } ], "source": [ - "ads1 = ads_group_labels.index('C=*RO-*')\n", - "ads2 = ads_group_labels.index('C-*RC=*')\n", + "ads1 = ads_group_labels.index('CXRCX')\n", + "ads2 = ads_group_labels.index('RC-X=R=C=X')\n", "print(f'Covariance({ads_group_labels[ads1]}, {ads_group_labels[ads2]}) = {cov_ads[ads1, ads2] / 4.184 / 4.184:0.4f} (kcal/mol)^2')\n" ] }, @@ -650,7 +15111,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 24, "id": "b7440c7e-760f-4810-8b28-fed2e6d5253e", "metadata": {}, "outputs": [ @@ -658,12 +15119,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "Covariance(C=*RO-*, ) = 10.0169 (kcal/mol)^2\n" + "Covariance(C=XR2, ) = 64.0030 (kcal/mol)^2\n" ] } ], "source": [ - "ads1 = ads_group_labels.index('C=*RO-*')\n", + "ads1 = ads_group_labels.index('C=XR2')\n", "\n", "lib2 = -1\n", "for i in range(len(molecules)):\n", @@ -685,7 +15146,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 25, "id": "c51e9aa7-cbfa-46df-93a2-cffcd215524d", "metadata": {}, "outputs": [ @@ -693,7 +15154,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Covariance(, ) = 4.2400 (kcal/mol)^2\n" + "Covariance(, ) = 29.4744 (kcal/mol)^2\n" ] } ],

bU>f@KLVQ1_r); zq>Wbdf*ouH=Vp+1ELz+72ueNR;fp#wp-gTY)1U&KI~JiYnD4>O~=a zte^Hzm@45S7s{5fNsVYQ*;KBxU5`-l&1}oiS0jvc5{rop3t#Yr|&o?WlYcdhWR{0zg#v}eE#nD7Qa%QfpgVQwW^)?T(~d%Qr}z76WSA1 z7(x}@f&aVI0-wz(i1gW@(YRj+nzy{+p_;(CjS0>7&aV;>e&k{4)4MpQ>5TDdk2i(r z{B8Ux1ojm3Z+70>7YHJUMj7|0qd&b$#eu~WdqJYFHAZo6@POArYUv;LRhyK%RgO47 z4&UFr8_UQUe$(2)sNe$9VhR1+@kUTOH`Ezn5N%dD+ywbFwwV61`>n=sxx)TZ7!_=}bXeBM2R;buiq6KG)-{ zvPN>)k4<;7uoQEHp#Y6DQTU#mF8`xzz{nAH&DHI08ONN)Q_oe$Jj|75l~S0Kvq$)kA87NkhTorl9B|x%ybz^3i{tXP@MNm#v+R;B6zSXXgrJu* z$^LDD^2o1H0VIE#qc@J`rNY1Cpxd(Zl zCeP_c_Rhbv$cNhX^_TuimkZRGtw)rap@&RQQCh17y$E#gV+0~8knSp&NHu8>iK!lE zE7{y&e`EDUp-{||E(hLvFXsjto40)Uin-Emrp(eE*td(A)~SBT;0#f(_V9@xbVqOB zAW?^0A*n52J?&l~uPx|by&c}8ua!R>vw7|Wub%0>vJZEG5wTA0suvD$?aPazR%$Dl ze5UGSfPSwk7DmN}4jX7(YOf0I!yf0QjL0`J_Ruv|(@BN<<+QRY!(GJ=P*yh1Sn1X^=~C+uU)K$_+N1l1-<> z9Ia*CM&*S8BiyINKeC@y0%7Hc^VG;?YDi(Y?S;96Cwe_*O@7WG={05dO5Ph@=#=|2 zIN|sErNV*QLsk&A(Z@(#8GS4bD&mIiu3)w*l{7JjeT6uaBu)H0`v)`c=fwF$z_sV0 zH25CxY~!QD@y;7Y>V>|Xl6QyB3042}{dm4gUDF@n!(2+wIBOwO4iTo=r)hc@`|U#? z+_zqJ0r`Ykc5&R}pMRp+TZwzXv{%;?JT5wdeM3HXwjK6A1Bc|^NqRxI(@&w@7G6N% z^-lC^@c_lpt`hi?O(<>IzVXosdyxHSy;t*yH{?HOX-F1FPxF@9eNxB?I#EKmm*xcS z9oBRPEie~D_vM1PW0Ny5=6#hLlQx02W+ql;eJA)Q5ySD_8@X50=4&aA$gPpgtl`<@ z4PW#p#|qNDq2ArM=)jWz*mb<%-^B?ZDBK)u?S$tURrK12RT?MY-Mtp(ooWh(b5ePC zTHHZQP@X<+rv)s~zVJ$Ivx1SfTN4>?DNuMQV8Z;VGsGn{_4C*&0!Q!jPvY0Kp_IC4 zVUEQG9$Dt{R1QnPURB@hq(+=)yprPBE@Xpw)NRv)KlI_P$G!zw=>YgTcaobIdzvZN zTihkXut%d-)uW+{c}L1X{5v|FGwi%6-m%XH#@8HWzHPMwo{LA$>LG{Nu+Vn>7@pg& z!#ZPSgdAby)sd?ue{sHIv`JLunIA+&bA>wYS(jfuH^W{Zj=8G=_3CSE4zL_5YuI_v z1{iyImsh(?z`r5oM;Z2RSet2@^)T!=;TS3^MieD z=e2i_d%=O`RZ(Ia-k(epwo>+BPhH|w(5CIa(2=>Famm0LxLTW%4y{>2Qx=1KeiDA3 zqQ^OqZUDB&D`xZWxPyLRiF_F!*=KP`nNI&O5K?5x*Uv zVpY?F_7&y~PyTjW7`1}=WuDa8S$hcd<($2kM}Z45ek^xQj3G{3z>3$z5gLSj`i*hk zln|L#plM?aV?u!@apC5`;p+Xs7x|Ju?mX9JFhZW`f4*_jV@vuGN$(cvb0IweB!8OZ znv%RclEXyuJ;>fT*+(RME@Xb1%;k}JkN@ov|C>*fa}V-9O`g-2R+n=>O5*ewB_JIRG4YzXWSwm(+T>PavJ2?MfbN6KpN8qE~D872p4mJ)ASPdRRj{$=z zU&JZQqqQZ{GW6hiD;}eMRuBLEHSYg-7wZUqIoHjlKifj=U9sWbdp5A`SoM(STT8h3 zt?k`a%pcGy9awm4;sE`Lvy00!Ht_6~+R)mRF7p1*&)zzx2PG;r&b`9OrCB)X&5!5G zi8lGHKe4v(oHpaiGSxO_CkjUp)!mYU~dRg&c(BUpwzz z*=`FJ2m6;!;yE&SqA5d})){~OKpl+!BbKFi=V#;adA2WV!+eV-2#=iF6WVMBTTi|n zI#BBbHEIpE*KVWd{2Wu|$IHI3wmUE~4)?TX%RBO;FozoK=Wy-S zX~|G7d-xc+>!2#FCuD3c5idpFNTlq;cjh?vsCex2%4XgjOpjE36XnSv64GA(^A|7z zZ_i&Z0xlzeCw+C5>x%<0*>&w`ov?;`lO_iQFrTk*wrth01HEAL_p1i*?|WJ+SMKRy z%>5|erake`5hz>Q?X_uLAw-d1dV$Lo#02&T9`1LA!@@tmhGVXlx?t$@6Y~IQ&nj`A zL+Qg73D7KJXTXuxaL^Y{FFya(m$HCi7o7bAA-uW#lu79)D?#t&^kt~l2<@vS<>dhosa*x!yA9pL-m zqox^V1-!qBuGJ2ANHOHyo%IdRTTyErXG1$kGkV`nd0-1yzkgRW;kJiZ$2efRU*&yW3TU^v@|ZLJ(dxk1Ngjr zU?Tb{5c^ZA_Ue~K%^jg;xLa)3Q}ms_hzw#CbB6EScEguSTp@vmTFxWQ2drbRKKg?^ z6oFK(r>ZY};02R*?ycwmXr^c`KF9mA%Ts#pJvHf7n6GCQ+4m+P2!^N6j6I(8hc-d_+tpw7k$1cj z6E~0jR|Dg5sswzm4j5guDAfTyUyEO=$gNA-d*nvt1m?es8$UHtnZWxFjb{oBMqm|X zv~6=V@&s?H)?7V-e%c<_k5m`j{^uJfJ+`DDk@RknJ{Q{mJOLzsn&g_2ygZV_MDjhz z-ZhSF-5*H1SU(Xsj@%C!ayK%th zC+J~LF@M>u-~bQZK5p^F`|04X2epEKU7_tdbr@?s@-`|@Z4~eD20AX`ytp=J;AlM< zNR9iQqd80YVwhJMyfI%2wr}tNu5MOa+Iya`Z?y2b5vvE- z)j$6=9P1C^DJdsckkiqj)p;_=%?8Yl=apI7AcyUJ&aWSspSV5yiQX9J*nGmquB?MT zkXSQ*|Gljz>_5=?uo3-JHw(w&#r*Nl*{xS4e8>lA$KKotZuS9bZRNj$*h4IAT=TUTD5uiwzz~|jrBK}wG!ToU7-6{@E2-+gQ^>_s4)lYt_W4CsP zY~v-_v{4t}5%dhRy5RxaYpYZ0_@?8%tmU)Z0x%q`u)1Q4|&^8_FV2Q zI7dqB-oEp+1hGwqiKlvq0%rL_AvaGLK{mmEL6XJ*MpN>__x&GF=i$y}`~LB!l@by~ z8KLZ%EvLQr-h1!8_bwDsC@HIrhEdifLPn^Nk*Fv#(xA-W^*fI5{rmyXaeSVS?(1{i z=lOoWUTd~6mo0t!WrR1hF0MOwJa+?Ax$;-^EH<$3MqX1-jTNxn&MT)um|Ls3uYL{p z1Dl~w?#@RkDAl#I=*o5ixz``n`pog3qhls)*vbu7&a0}{^%+7M_zp^O6OW}^a!7Yr9#`XSCOxgNE zD%%=v6~za4oeltJR`=)k(!;=iWRC;yO)n_ldC`0z4fk$-{k+nT=bA^kSvqDa;~;|G zaXTJ+fAjRuQtS1)19#TKxvze)cyfcaOk zA(lS@bJl{lG_&tM$9esN0*ZG6I+*vk|EXSzGu+%X?aXoWfagDUzl->3fc=p*c5>ZD zFeFW4-;dv~|CVlWsz*9OxYfVdye#}XlG1e|joI%%-#Fp1CH#nlcZ=}35S{>nKTU8= z30@w-VIue*L~oqvBN9CqB0o*!@`$_#u}384)5P3^xK9)3^m$&+?q3WsKqG!%k1!n1ey$Ii2DBC4Xp&3MifukAl;;6qniL zf}j8uP7U-0!^4|e1^jnnpl!^2Zj~Vc9y?MMEVE<2wy~t*p)fzl`6(ba`wl-(-NN>U ztZuND{iIRyInGg>wLDpV6MOG|-dfm)?~~g+cRJ3A21D~jIxfY800@2O#&Q$CSy8l? zojr!{om8g-SJ+=WgJoBO=KVmNf1&?yt9L9M*0%>!dyNBu)$?dWXiO078?iXb)E^IC zV?OtP1%^SS!D$K>-AKqr7Q%Kfy`f6}jQArrB~Up^z44qIb9$8?sI}lcX(5OdcY`lT z?Pu-K#vH4CSIDED3;V$P=!JU82iDN@$J|4L5#RHR)P`u!xWKy%;l!WJt{}=-5U%>y zACyB-O#{xgjPv=Eli7KL(5+FXe4b#?>4_W)VDtwESCS%x`Jsyr5h^)#xPK&@8@vD2 zeH6VI$AlS&JXi&8?L>^{lNTkE)c%$1lMC9 z2qt{61Uj7TlJ3V|Me(vocVRPNS-Pjxk>?Ehw$axP9Mgcq%mPohdrd*-2l>ry{GRdZ zF$*c>2)LGXpS?rUxu-plUZb#p&{Kb~Q`z4@Ts5mv`dq}p6f zK;eDSb68D5Z&05DXPYn#Gmvdmhxuodnt-IHjF zQUP-Vn@jIkMWBQ-*Y#AC2~gP;lK(9N*t!>2%GHMReBSS@oM?=9p z;9msn@aDudY#KpbgyRJx4+F5N7i=-!hkZHgekD{}H;=Hy44DqhIoijHEmaierHOi6TVKp4bd_NYH+S}g_a_~cG&O+XCCNoHF zGreNlXMlZJ=H68-GI%amvzzCWHk@=mOqE%J=W-)5a{VmsaG5=+k!=!l>Yj$KG`~Lw zJP$4~oKxk5jS4Z4VYLLRzg__mI7d5rxfxvz(*(us9r`kL>?b>@-xE+00VIFF-b1s& zAeYB>cj{0Cq#9;8?|m2vCE9=3pD%QYs9@JaqYCxIQ;Ln>O0B3 z$KjB8_*t(#{=K<)E~`qTQ4`MWZFu!qI}mg$Kl4l#214hj2ab>B!r=N-ACi*_!QkB8 zR;$$+24ekTyWe3SDEo(N{ZePb;oz(Ku<=8Ypa4DDU+{dWZnxKwiG7i9vDIX4{E-EW zm(SagU6X>}R@Y2zQ%^#k!vF_=xI7p*U-nvhp^nUTHzv4~ZQ!#(-ENwO)93}`ouQs2 z6%Z^}JN{7Q48*+dE74ptfzz~BZ|((|z=?R_-M{enEApkO+26|+_If;4oW6v6Z;68? zH^_`Yp*Cke26GI_o2IlS73{#gi$dgJK`1;{%y^rLbHpmV?^AfC@cTnv2iXZ*OSq{z z==9qXb2}{LS|~U5@jg|oUB}hwKi@dvu_gS7gm;VZxe%TJfjJ;dQUKVUuFh@_+;XpOX(KGN+SoT(qp&mR?u)fiIS{!H> zj^=LPlSF47Qu7#d)ZjRK%dx*!;jp#f&``J(1|EkemG?B@~oD)6$6P!PhPf2i-NmLb5m)aq0sYFJDI-p0y^iY9eI2U_0jHVoOeIEO+%0)-xT;3Zmk0d=CSa7f1-UzgU zO?zn}Ne2gT7%bVEMA#2`FnG`r_tT3r+M~H|1Vd-cOs5~d4@FKVS6s*cKNNunWRmK` z!MmYx(Ox$iDn2};2)!BsM;AMj?z(xw=gAVgmy~w!ZQg!eqSh9wV>N@GCYghln?Yct zh#Sc3SQmZe4+FBQKaAE9hS1!<#G|CI2RAm4KWqrJhhS;nr*DT;;Y;-;H9Xb=54!hm zqvm#yMH)=bsHgx6zHu)4_`XWJBl|vu1NZ9UP6-y-g~4(`qulv~7~mBBFra$?_X4%= zL-S!PP$y+cR=a2ns?UCuE65td6EfFMbrnmPhzhssma>EI?x`hAxTnt}p-nk*(-Fvx z467t?p0hbBo_r0(U@q`tioHl2#Aig$R=0`4k@8Cp1-P&4Y(hE9uwn(5zWxa`4$*~O zPu8BEkuinb2ZmhUUikMczUTB6eBaDn+2X4yjsO>S^Tkjbb<9uP_c2S26B1q>f4zb^ zFz0S23v}cC@-+?P6zOdv_!f*g%D6wD-)a3iFd`hR4edBS2!sPy-&z8BQ6vPE)Vqm< zM?i9^$SyjbP&oHn>b)1{FWV3A$iD6hf%VXi_rCn$AU3ob&qCn$$@B+-=fl9A^WJfPw@^5(zvrZJ4L<-ao&b+98j|e9iTSP297m8>KpX+ijyo^k!53pf&?i z`b7U}TA2i7rR2+i+XC%=wRFBl(-x*gOSxYS0{UugrkXYi5IpWqE$qhvCghpBUI)p6 z+bkBE^5}zsY|&PWqZxcD{#2xZ`!N=SP<9s26JwlN)bFI3LjN#rA?qP0xWTmd;Q4j@ zef9QBTtOjFQ!81tRc8ftLD#oyzz+7!C|$2EHiHB2MIJxGIpu(b_hU_^i^hK(t)SN?y#@rVEO*b;t3!n;NITnJA9!Jj6$rUWmK;4l$<5280t^bv`k3z45D za(P7FgV-Yy^J!x4LENW_bNc29U&#oLP+(E;?>ZEQJwv-Ls)!#lgU2;*6~;EyaBlr_ z>qv6swl zp)D?Y6Nx=I)buTX2EDT{fnRP4Jw^WsO$4H=*W71q6yJh10Wp-d&S2KJIX-Xq%~ z2s%lDTn({`KtZy|zBkqgCETWHQo*0o{&{}wA2CfNdPvpv_E#fBTIwjPX)Of~*RDv4 z;NNBG@zDZ?mSCu(3|jo4h&lEDXgJLm!XQn)DdnhSC{VNKrbrnFL%EF5&~Rudp8IuH z$&W{X^~P-A=IbyxXV)~m2fwcbJ}UpwaykNroTzWICnStS1N zf5mg{L_mLux6<7GK*)6NWPaP7f}$qfMyGI2e5$JRR0>TPsBS+|x-u0GW-HoB@~NRv za7%||4RfN82OQgdh%O8s53QRlBw~;Io<{pb{!n->|4@v}DiZTmDMP-7rJxZO|6a%M zcrWEgJ@;^T|G^hP?3STzt8JeMI-48ay`ki-4Boqc!>iQ9$;l)R&b$1}2eSORcmR?k6i1ONikL-x;&{Z$^Mo#|5eb@$u`@*cHO`YHj zNf{}>pBp4b%mh2qc*8M;lAFAHEx>7@HQK<}0FZU=?DAL4CrQJ- z#X)ok6!l8oqz9N!)1`_aI&udpob-FJ+y`7iaNQLvfr5Rr7tC%18{CmJ> zjZm07W=ZE^paA17^Pi6i;#|l1W}Oe3_Hf1Q@r%~4DiC^;x??pN@9mB@dml0ghHs-q zs!`ZuLwe=cD&08FdF-WNa>Cxyw%k*Xeus;Ijlf$IOWfC`OIsETO~v_E84HJvFu)Y{Pw02gy8v zskhQ_7IV6y3{%h6|;AW%f!`-^W7(Q>UQBiur1}2Klfbipf2vO>^&zZ*m%;GN;-r+>rHdIy>6HbDrl^& zfagD7Qx5b~CR@U>uio~babDD?@f=-I0`~J-&g_0p>4<%V=l04vSb^fu{;>+&Z#=2| zE$CgVFHozg^{y&;LnTG`P!+8c?2SC6{XWnW%%<}FX|cb-?f6HbLi{^g^!|&R65hX| zOOxwlj$S~`ob#qd$q7m`-r3!I;tsDu4yRtioR%6li99X5|EafPB1_7)1Ijz9N`GRE z{_~9!9$UhXNO-php9|p$Ao$Y+*OcJp5gaCh??Lp&i9RCHb0PB6L@tlWdk}j>Vm?jG zJ&5}>aZV2o+_%xVNEQXJ{%q_Kcfc8Bw2 z?Ji()qgq3l4!=M8c^>#shO*v)hJ&r30i>rKyW%Q?`;TWmw{qOf!0hc= zx9&d{P-53PvGzk5+#Bd`^$fBh3YB#mW@Q;TBAIR5MPmoTOuvj|qi|l1qti+Y&qsai z<*x~rxj|G&eN!O5r*RMVQu-b<0i;!w$R+Fu7O!tPjzoAu`{hb!%WJL>my(cY;1vkG zpI(35lJo@DrPJnlm;=X0I~x$Xh3AJ21@tQL%_7kA zNM84wVRVo^kV~uPsTVndoYc5_3f=?R)+#@1#_xeIXlN_#0_8P|37x{JVZVsQA7t#hr)!ap%*zn)^NAPq2^n z27Vrw%;GGma1WgNZES&Y59VXVUXSO+`EE4asm0tPxpaGVr}{(nQl$JO!W_qKHM7s<*mtoC zyI-|h!*hmi%Ircnc+~DsbuCN>Sc?Q{Y+c-8FNtq;OPD3@^Rr%+yygbMlMX9M#U>zV zdWiMk6a4p||HE3{;Rz+RpLoyx)P^l9uiFgxIhSWriaw~~1m4+J9v$Px@cVZUy@f^y z{vG{X5QMo-!M zjkiYjjafj0lYPh>&eiZl{*gRoh&^goZ#dIsIs<3$fd3rkzppV?_8mOp0W#ZWa-DeJ znLpcBSi~6&#^zQI*Rc=fLbAJ^S`2>WODD@$HxcLw8~i6=pJ_#A0} zv+cCc4Savw%QWKN5Mw}=w8NqaSe()^<+5;uvM<|uV@}SH&1>c`FKG$s3lY}Ig7(02 ztGFuU2JR=5CfepO*u$kL6HSJfqR>p8FkSsi8L>XxFB;+M_@8f_@YoW5M4kV6w+NpL z;Rzu4(*)O);N=k zMUPzS0uKQ=m20>wC<^zq8)Hj@E}Z~Hmg^DmpHCv{S3*hQ%X&c8eI)7a2~)(s?%(h^ z+!^IIRi56_)JOZP+7`NGWg+99e%=cf1I&LpwVY9I34cR%B(1^);JSpzDAO%@^f#!X z+EjrKWvNc=QKL`=jo*oOR;N#($!C_@S4)+Fb9gZ7!6fcoA9|O~XNozwEEmeQ=Ty)% zyBqKSt6a|QiO=%ehkar;Hfj~-LeO(9=w0Q>cM=xeV>k; znihv&9I2{J#YS+N!gC>J&;|0UheD-waj)>l@PJql-ed4az3Dq;57Ixc@=G(?!oW+a zV_YB1ajy1?&qSg=_$~PF`To}o@`_64?)VBJOg^`mymDIGX|qut&kNgwbSlg*CG9=EqL-s)x3N}}W+&MH3FZua&M zRXae^TkDeV*bgE>apu<>%!4|VIZMl0Yzej37j4}S>A-|IZ{n{B?9Yxayc=~5^D`EB zhE6%@!z&)&I+q-0RDJp|jmymdxMimvegBFvEQZI73yz4Oo_9#AKn?fl^HZDie#pc4 z7^CY;aVhkm`t3H!1ru$QXHjR-WxHq}6BP2!*G$*T z4ADw>JC0&6^Zb38xRVjKU?kha_vh34?<0)v2B_Jku}Z#(2YnQ>hX)+L z9WYRCk zCx2vGZu@Xx_8tyusB7SyYTc!bSay><6p55Yp23Z`I(YR^t~tfF^eDc+-@nEsFMSXt z);vz?ZafKH@7%rJ`5lmRagdSA0aH|yr^F!M0#HW6T=kkw0!^J`4Y9gv2QRIU)&^5) zAaUwh=|LYJBuPD~Xa7VIIw#B=#*hlSJsN(ba=!vREC^AuN(}*vwm@bbyf=2MFA?!o z@PmQwCvqG@VG#JItnapb64)xU?#mUyIYV{kq~X85VDh~1Sa}Wha<(=p81v!Y91cMuj#&{@!Jx)??$yMnBzWYJmt}t-9rt8iR12iy zfK@y;>)j^K@0ed?jm3GiiTLca@GV<-D0gLU;i(U_{Z$_gu)uj967x*I5qDU7ksc=9dR`}=nc{=3nMir{D9=E(@ew%4Jhf@s9?w34tn$8Mv;;Pc+h(Fg7d3b;P=jP zovsc8-}n9>yLPbOpzKrAW1Uo>NWc5Jt1TSn9p`DsU&Vur&EpRC7x?o|Mth_*7(jli zSnFd&TkMHSVO+!f_>!%+jVo$6M;6zpT-ss-u8I{Ox(?_8FUvWF>$BSMbWnC*{S`f6 zrKq>ga*#)M*OMajj_SeMOP6}}C@F|jpzM&pYX+@@zmY|PA@nj;i&G_ggIN%-qLipJ zG%ongT*Q83HU=R_dQunAJkR=K{x!b}+C1YN2s8vVgg7Bh-if zdIAqMd5qzV4UCG(C4UIRJ}*opS@#IQyN_yqOE2%C7t@~Y znP)LSDajy{{<;+YUT^dn^Rgpdp<6Xpyaz$>;WNw6TY{)We#P?qQ8r|s{*QIfx7n74 zM&XaLB;v@harb(mtPP5g$=uYUE5i4UTeQSL4Cet}MOrB!2yUiYU!YKIYv<<@cxyvD6Hy}I~2*wjBm1=LSwcmrFfP;T)Xt{cg?&zG(=WBPwi5Nqa(>Q zZ8%36bSdXcyRSL)82X4yUQvOE%K@J!vEPP7%bPz(#Tnj?6zqPcZj1d%O{OGWCa`#~ z=ZFvPj|^@X`{-eQ>f{8_&Kz<9jRUqLPwYG)rZhj-p5F&d!x~ybxUh$q<*Dc7Fy6XSQ}f8}#h&iP6RWaoxy}jI4teu-HW6#rsA9=c})NKa-9<+5PwxK{ z^wSK&tIiaAlarwlx|3Yno4UX}YW}eV^C#G*?*!BNpN2r{I>YqeHn3?t-mHQBLFzwl zJICEQ2XSxy}oEH%( z7S+p<(}%>omy@5KIs*;!$$!2+K43sPFL|T^`-UE#_%)09VBO(A78eDB!CgVG)~7Za zo<5LTVVl7|xzVlG2oFy%3LvpkNXGq%hNPO}O6(t`TB5z@5eyJ1`teM^7xvn*sTR$ry;X}n8sx5h$3guo#M`#>v4hnHjk9@S1PdkPmI+k zH(OXNJvC}L>H`WxG$EyU|J$rDbTt|Gbx^?CHx)J?Smv*{>G$vlmRuukG-(IXioP>6 zO15Cbo{~iI#}3{s|BzPv;Q%tG4Q{b`?oar}36Cw|MTok?TN-(f5>_0M( z`x?3Rdy4Slcn{ z48gNLVRk8)Kd2e_#1VT9hK)lCIPr6PNqp}b(@$$~Qex>c(6a{nR8z(i9k>VCdwBWV z;BA!g++cQhKAz8WypL1I{bt#;9i0Pdc2Ixv;w$fu4!|6r&hPru81yaC&u!di_~CfxK=| zV^*epArkY&UClX_zuUocqfdOz!8kYO{Fi$i&!w}92KAP13T=Hnlokbw~2rzt#7+UibN3B0I?ywiFZ2MsjQ zu%-OTv8%p7;^fS#h`H&B&+q+-dO;2Gb9v+5$4t@dgReDYR`BPN4ZRaDWrEfggPtC` zs|tL-t@kx{C}OVO9#aWvef)hG?j6*&N6R-4?!2Y8M>6A1tTG#X&^CJdnZ3qgbfr7j zdo0ZcJ^a?@@9;ww9dlQ7z`!-+tU9gGZEb|;OD!3Vc>r1YJW}X(Ger4ERgE85+Chbd z&J*(VHI@1D$uJ6`CR*x~j+{q`uEq_4e4^%TtboY;RS zSQqs&Vi?1KBkcR8%a%{+fKtj-H=Y#gpm$5w8?E#wAd~fi5z{^sw4hS*uXt7vTsLxx zY-nQOz;*sNOY9*Kn$EhLlq?A3_u4+a+lBWUO}n1SX`Kggk54uVZ~VaKe$6*i&LFs8 zMDk^hBn&oF-#u8j3kBZUx@MtoiEvvb^R#MTG<kIfvi<| z9|y49J-?#Ii~D=p7llS&2g8>gA!-AuVDMW~Zlv0edqIxtx3&2r;X$a1)%Ukz(3Q#T z=!Sbq#vjhvszoUwwfe9zuhP)}eB*@2mhdAI-YvrCLU;lQ{xrcgC3txRhl${O5WR7t zk4W@fi2O8>%Omn0#2%5DPZM(w;yz8B)1I5(n-~>S;PHj{yZKphaQx}0_iR=qn3>-) zfAjJJOpZp~<{rHSGe_=)Im9IceI@1JRm|)Dx>EPxwSYV9u*9rVtviBz=d8Rx=JT9J zXa8tW1jA!_7caFIeD0FuF4Z0lf&Hp3#m;yh%*OERVOVVttdsGbf9b6O1s~OGFXMel zeU_r;r;aqBqox#jE0GLyCxv;l^y9#SCOg)QKMwOlGDfv#vfzDpKbz*!c-WU<6QeYd z3e8f^nH!bSkQf*l#<*<)CDaPd6xb`T5jp(Ks19?J+{bT8TIs_T>!KRXeB2**<9XS` zU8HAC#(f1pfIyF-Lv;Ao<;Ad$}3xC*Eh<+?Jgnn;6i#SV#d)s$zx zBYM$%B{WdN5iP*QPR?ich(aNX`j)&Qm>3OHWSgiX?JMg>2lnftD8rt?qlaDK=Th)#U3&ZdReU~IrBV5O_mM{{=cW?aw+)e`+bGA!X%mp%?olmSH$jvU#)hP< z4oJ$9X4g|idGtc?niaj0JmM5Q(tPNM5i0*BSWG6Pitc?fpXDesMPiF51)7?iAz!(E zoc28*Iwbg7&vXhpv72+$>*=lYfud?w!;hAYNI93%YUtwHm` z29-bTYP6kK&xi))s{8Ttv>}k5oc3(vwI<@UVx-}7QAD3jPt&=)F$On+ZM0(lP8-{Z%0641 zGg&4(Ug-;OvgXFT$$cP0F^pW#(hJ6#E5%Dng1~=w+u!DiRk?U)&6LA97eP;U?B?@i zC8TM&>mtb@_Owx#`4l3f|9svv|H6?g?1c!;>dl0>GqK`=Q zT!{QMk;^0U9>gAzm`@XP58^&eoYT1h9~mlfPBX7z?X$Z~5RBy(4QTyMf^OgGloQ42 zFvHsNu2dloR21&=^Ln_#>vHN09vys7R1dU^7PSOHHiOZjQExc!+;qL1!4FE=UXJxA zxx-y5*|Xg7ez5RzmZl}e8ww8D-SWSTdF?BCZj}xa5FsMjZGv++uc`GP-6~ChgPv!G zOTNUy9!KdBzQi!-o09JmT@Qu6d4|1{GO1wqI<^-=!r_M_-#jx(0=Pt$t%ckU0hc;j z;RJDgpkn{DP`}>>D$ZI6RU;Q*VLLWIv!)D>8Y=FlVUH9?yUNM(dwO7d=0PwCsV1Bo zzVU=9QWf5wz83rZmM&^zHRRq>Py(?+x{l}~5#-1HtgGd;0SwVGaSQF!fwMGBar;C( zL2}`En0A^Y9Cs7`XclJ&*INzs4>RJuSB5fe=Exn?)U@vCZiIQ)igRURw0Qn|GUPjr zIrc|#)xqCo%+H{aGWwHa1wYzJ3YQZxAHryFoCld1^y&2s_t9WtC7?$(uBlC3!@5J@nBwuQuB58nvrRlR^Va zSGJyCQ$Q@Y81#E60Ojn=3QE*Ep`&!ae6u$>V8VR9II2kmah2PZ}0_q_3wW~^SCPJhx42M)NOvYuq<)G?6i#n`q9*5&>IE7c%5~R_*G+gIKxr4 zeo-F%)E+51C5CzTnHBZ)tNS6oT1fT&wj3%KXjO)5hTz#Lmf2gQhE}?x5lw5=!@s^eyTEi_#H%NFc&Khwb=y=uX4n}KUrZv+k_KnR(%aEYjuFx_kZu+=`w(K zArb4we)^Dfv+n>K&d)HRsj2G}>S${EUj_Rxo_B>UAS!&X`%dGzRGno8ce-C(vaV4= zp)qwHwxnc`a+xw+;XUTC7nk(O^NYeAmPiBl>+0xPtnKOvI$?C^3m4gyQEhnUDM0Ox zPJ%@9kJ9o@Dd-YD@$7t_Bn0l1Bud0$FA~xXElH6F`cqfQnd`;SZSs>xO5+ZK;!a<7 zP^%mml?PUy^$~)sU>+q$9TgNla-H_Nt}v*_$cSV=!+dR-k0OQ^RqO;F#mT zIed@fxO0yd-=A~QGI?=`3M8__H!T@FR~Jq29#G-{7y0!)K5T}dIohz^rfm(6l!GVR zMEH@%^uzKIQBjzmpx(B`=gHT@lDCfG{n71lN?{6(Q_g4(?l+h$a@fb zL}ETo%sq(vG;vPzxLrNfs(^d1^;^yM*pr<7$K;d~MIv~+>J3B(g+t83#@$-n_xiQd z6Y*&b_ufu2gQB}VDC7s_R^omsUpvp}Biv6dVG&PN{o(|?&+DSyXmLOJmI{eRnH#J> z$)#n#ioFsQaxaR(6xL-9G4TlE{jKuFKEH`*_$qZbM~F8ZNEdfPTr&be{$DF2g+LJ8 z884Px|C#{DTY~1|SVQ4`UHT{Hxw)7n-B}1Z`1;(j z30)ZQbQK@vwSX-7!rs2;W-!nmC!>t{6;F7(tOlh#p}BW4{=pCIxn~P#%EtKyzP$Ty z79Fs6UEt;J;DWm-OxS;P!omRp<%1@5-r?RngJ<5(Ih=#nxv-YI>;jEn6nd_$*udOI z#L3BU+^cOl(Ph}>0KQZ%Y#$Qcfh=>!(tOPbb8bku#Fp=%!Jc+AS==X&J6$lSwP68r z`qdZIzNy2=kt0TJ7Sd2H9kZtRLK1+SRq?(KBg}@=J*fYv1&3DmI`(RuLTNwHQ@775 zXwk<%Yj=Vv{HtH@kkQoxnW$EvsK%TokuuP`j`xp>huGy(EJ0mVK5`A`_%!Z5-;mYT z0t>(IXQ?g=qeU9Be8c^YD6DDgo~Q%|(D&@zuolt)>Uv7L(5xubTvKt86Tc5z3cO?u zAC^HMl-^07{ppO>c*X+}iwv^kd3s`H#UA-yQ%`=0=MA>r`J~kStmvhFCMWj$pp<{) zXDyo?Q1_p`FO~FyQOaNRp{P3oiJp0}>Qxbj`10v$9QK5u+N3*LRhtZuRDVWtAOgkd1Mf(-)r1*fi@Dk^Pk(3CGLU(47gc; z6j~y&cO6LqyM0ht?8+>uvL;eYd#*bF$`1V&B@aJ!)*F>d_c8GPvqm(plegt)15ihj zjsMRGoFCt2CLMG2MU^_4*@sypP-;vs-Ng}m+u4vV^lI0!3xMRSEP+Q#t!jIT*=M;6^=Z281Mg<@Iz5W>#R*B z7U;FpaOoRa4|I#6m_AU|8us7!FY7uOj*QmtWC}}pp$~f=Wv3cCqR^aOHOI%?(QMw( zlR9fVbUBZUQqeB~tR~9yd!C1ZEXS~KG*=MR%Rcye|6?4K_8NT|_;?Xcyb_RGK7{*X zheJ=vwP8M}!>bH43EaO4@p-p%D*`xObfzQJ)1ZQ_>MMVH0=!u2PRN+{K-4vRh20N& zpr)cKK&`CEXzR2SDq#7NmAB6tjae!@9nw68qPDI~m4(}(yd%%q9ZQ{2=QxMX zM3WQzEGSO@?2q$CLpSCpD{LU7kfgK{_neQ+6cyBK2SMXWdZ)52+!JDpPe^?d4F;rR?EWPbP6qqEZ8B7V_@W~g2N?rE|E%Omn0#2%5DPZM(w z;yz8B(_>>YDVHmAASNI9cbQ#nQNNJ6W4|GXyf#qatHpMZx{_DVO;22w=90Gg)oHJszpvj<^>} zh`;ZXzV8uFpvg)-cAo1JsD1zPVE5()U~^;~f3=nbZZ}k&-+oGjul}4Rc@nvh@8xLV zGMEhCIt!O%zgz^$u*6DPnIxDNDLkffz!F0yM8Cfw$9s#5FMTY-{or!BdZBQrEd2VJ z_(Tog$Bf6Bs`UPuLcoF1LKhirSl~Xzf3<}R9?w_@YG=BmgBi(nXQxji61tZv-kOd` zEcQZ;n)^ApsL1r%=avev-@HtbYZV9`WS?{1cVW-k<;nVd%&j#Z-&@#~9RS`3PE{S8 ze}Y=p>#@zPbnIoRJ?O|>8OqYeN;AH|$8KlF z!(a?|cPY=EaL3%{s>;CNKx3rRA|f8#{um_&zTW?tF9MpsR$df3VvkG|NLA&@T+nKD z!hoBY{^fH zA7<;KE9LXt>Nh+Q{k<6~vRWOK+BlUaf_<*5&!svNS(DJQv8I6S)G$bw>rEIcvO-&T zUTQxH^+mGBk3RI4*G2t`hI7Rl{)mmo*K~)%4dvOL()cEBh=wIkq-y5|p#b3>{GDcM_2PTNk4DEMvit2-iUqMK{`8kH zvn`!vgaqu{t!&O{q90n8F1P*6AwBCj4PRF@LTsc=L7GWOfzMednm+(787?jlzqLaL z`G21OloyOP8xN4#cI%_@yI(q^cs)@?Jypv?puq)D*7P-9I7m3uv+Np#C z9l`L>xqBo-A!sM0_u1m#1oS3VG`rf<72W-#IO#Cpg__iPl&)F?qpzcCo|98n$nRjJ zC@Xs~I-Ai#)%X&7;QlgnXx$8p=J8`Z10VCIj*4sAHh@q)rHWU3zuOHQ5Ed ztxGzz*c6EJ7@n%?wb{X<#X^qx&jd6hcjMOUQz7WeU~0civmctyKE0{O6@Vri4rW|RfXojuoISod@cq}$$2Q48ctdXf zLcci-)Z4u2SwmxRkKk0j-nD4B%u^J=^f&_&Ov3k-CZxcNn*E6ph9M}UhEkQ`S1>vw zXfe3IQWE9X)JE47`JqU~6-WKA9%xtW0iVHrdT2m@?3bvq6H>c@uOU4CNWE`LY_1va ze=gN z>WnIWL{+rDRfps~wMF0lc%p&n*QL_h5inqSqh^a!1M%KHdTw_`0OUexHbYAiP)FbF zn{mko!Z%KMYzaRi;oTy9E`%q5;7=$1k84Ws@(2zS!S^6~<3t~k=(!O2X(E?L~D1%Mi>vLJu18Kf94 zf3{nSgb;&|ht4J^K$?+#^Ai5vHe5qQleXfq|NL%2aZCdEu9;`_)&1H*pJ8f^ZRHjOp4}ul(pmoHR&sp&phWL z$FkFA@7iUEG8L;jx0Vhjvv(>f)$L$m>~@soS0CW%8!5Ks4TZ_#gkM_=ieNnIb1398 z_JNYwGe;R=55aBAo3y1?z?I0#`~;uJFH4PO{m=U&CUjXWuvZA_1upI~Jm!aP_asro zN65pNb{K7_gc|5=N$~$@4uws!yF(?Kfl#6~JiKSh8keO;X+V1bD$tG=Gt@HGZFYyfE_(^E2P~ zeDeG7I1mnhcjI9HXM^mIhi4pr_7ruepOy_XP5{zhMbFAKe2{VkztsCle-z1G;TP@h zhpM&Y!(1nV5$)vj5YIUmv_I_qd6_5v=x$uK@qSAulsNs^Ej2qH?N=n%CqM0hdQEQB zFpxN-vs!b#=hIzLeqUSD>vjBIWN`Rj;q5Rqek=QqMxYg9+UvC`%BhPwhn=QL-%rbZ zKl!Q#e|PAOfxsOsTZL=-vEY(NH^q$+5U{tPlCil=T>~kpkF%fNb7DYEXb{KQp zAy(5_hg?4qG%x#U|4}+i)bJ;n_e88Y@)kZ?nHj`_hQdB`++=Y=n$1a`*}|4c)%^&) zhNLgD?D}mc+Yp54GZCtJr}c4<}^5r1(`Zz!f=v z-Q`+2;tc)v(iF6;Vi2gLSMhqt6zM;Gyd!?p4}DgOdHXL+16BAm4IId@LhrvF7hmT& zg{qIFnbJF{eFf0*Fhz8ogqW>vY|QJT1*cy2WM34^L`4hVyO6ml!2)pPxLjJ)Hqho0{Rwc z3(W;wP}|#+^$Z1pXf6R6y&o_~%iV6jv2?xF33^Bz&Go>K6-YB)PN(< z0a;b;bUq+8huEH(o9_qwQMX&T(dUQp+YI` zw-W_I6H}>nI)M)SW91a+3*A<-1$r5B98hWN%)$$>)sxCt#;=(+M3h)6jlJD-Lg& zJ%R#~?NGE&z21Q>W0ZPReXS{FL@pum*0>zr50528Ut_1TN41SSg(F({`7U>`R+7Q~ zXwCE6=kPvhf9{zZlMDgCRIhyhD(0l}7?;5QSwR7$J+>G}{+R zb-~l1n$PTvHTtIQ-ah;)0HUbK{wHIMPz!IXiI$3jP{!t{U!y5Nb}GVg z`G^K0eB*@2mhdAI-YvrCLU;lQ{xrcgC3txRhl${O5WR7tk4W@fi2O8>%Omn0#2%5D zPZM(w;yz8B(-&Ah=lL2_;9Lv;;mSjpqx7$$w+DNu7+q?NI3Jq8Rxi^eMScMGi2NIp z#Qp?j@wTMg*Z?@ckvV(pb|^3hrqWJhF3C*c=CnM{dtHsZn|pCX7MX7|nU7&_pYCQI zzawKhyw_4slx$4~=ey4*2j$~HV=yw0X)y*o)z`Tb5-vjLZFfye?szEsx1u4B`PWLS z(=VJjV&TW71kvM8Mqsvk)if6S!b2`f(L}s+hjh`)lr%o_aK$d#`{x1N+m^EE)ul3q zy{bym(xhrIDW97!CCdfXb6?M7-gQ6$_8E#LV#g4>`Fj7~Epv2od@r}`k~G*P?qO~F zu8KLRGrRw-;=Q8rvel3y<}KG%2?ZEpE*t4{`Vu_n3lFnODrc@np*l~T&9$+AXV2m~ zb+0wZ9~QRRm5%eseyyLha9&DW{m8W+me{{uNIkj_b0X(2bX9ug8-h^eTKX=`?F`v| zFwP{QiNrWBPM=MzM2+1R``YdV!9s7S_?WE)y6F4U=5)S2+BjjV_@%)PS(=b;FW+-P zXTux$CGovhuXCgG`4>BM)jIF8yNm_;k=)caz8ru~N6&qGU1yH^oO$$X9dT|WvXWzd z#2Eb+njUM-mLj8bO7&L4m0TAq&I zQ+slGnkK^`vsjZ^a4isffE;Y%x-g$--s}Z0=Jn9_r@l#(3WVRMoCf?xqu{aD%_EGA zIM3CzRm|{L5bZpD_h?Up2c*APKU~@E3tCSPz6@^*2HA&~TO!;2LDOSx(Uvs=D1Sb_ zvFEP`_?^g;ck}|Ip_r4sc-4Uq-70F7R3MwcUJT1bhFO2WRG~ z!i${L9u_56AiKp}mRjcw7rJgK6?D_1xjYe{h(B7u_$>BXQMo-x4rir%w@Cu$g7e{C zcO#f~S&IJSVg}EWhx0^8a4wD0kT<+s6;j6BMQ>ljzV1tPjhUpD@F71s_?J4~^Y=|2 z92CSJ!f?CxP#0J5;Q8|-?`ItDRgAcdN+g1&OZlkB6YLdKbX6(wy9?qn&$IV0>cyxv9GR zf4*_TV@voE3GWu+b0Itd1b>>~ni9M`g2P1cJ&4{o(MKeDE<}Es$mJ1v4`Po<%%_RD z2XUV!&gn*TLBoU2v7qoqeV?d6G~D;=yTrp~3h~DKmI|`Oz;Kv(({m*R3_jMXEjon3 zl^neXdJW;w-pKO#ZdNpiODeqlWT*t$u^PN{e7d0jtl>bFwkpW6IaKug@`WkhfI($u zfACy0%iqK00_~E|`98=wgFShKo1LL6I7$wsQ`tJgh8XXgejyj&3+S9arfUL&$y3zj zPj%our}8P!{r|_)d53fPzJHh!Nmin=$<7SfT=w33zwN#ER)~rgMM-2-N@itL+?Aa& zLPBIDEh)QFzx#I_-{zMt!Qz0NZUN_+=K3-2evi1fdgGHck&v!H59*_!~* z3rL-Ea=2fvQ}A}!Js#p#JxageIn5)V8}2Rm&r!Vna5VK>Jh)(a`_I)_>__nGm#<5N z6H8{2YI-pc`Qj-3N5dqzY@elbU;H@Sat$9Vy`BQ68K2na-%SEz<8pH|>9c72m&m1= z`edk^a{kJ3Jpra`J^ViO#zNz*FG4h{Dd4rF@vKNc9?Gg|Ua8I}fVRL@VXoB}FnBd{ zXd0h?Wo0G0uZH5lU%F5}|Ilgl+}7DCoHhYiU8#3-jF2FbIc{XV%N_#AhMvsinM0ee zzYv-+1l}Wzhm5H3bM%I~DfN~G>{}>+?gMu4S!*&);z%g=V;u|Y#W|=xF)qm?3Q?d= z;oRknxk44453%1#@AjtRM`yULb=z3>trFrO#ha^c zi$S|7X*AEr0{ZV23%qQSL>U<>1tvIuJ8_>c=3BNr#AKNmTG>z|&V=`Hq9 z%Cw)x(#rz=Hl06ouVW{)O6WmzjvIXNz2u#axqpd8QZJ7ljE8XR?VfjIhf(66GLdvQ zE_7tk?7FwC3#|4fxF_oxfVPxJeebF|v1qM_j7%HYE@(QxZP=Hjo^L`WB2 z?q$Ck0~^m?oB27&fp7w!_J#CN_#<%Gt2i|R^Ec-#4{Sxl_ey%!+4@M(s<@|3NgfZ} zhc&w>Fz;GWeyKhBMhvii?&*~bj|U3Ac}Fr74)(r}$IYq|Kw2hy^>i6N2ZcS)jE@5F zZk#%ry+;lN*Y4j;im-si=({XoL+Ws=f$mz4sTZ`}_xQ@leGtB|lnM^rv;nal0p`rJ zCXiBSX5h2t4lkqa)|!*O;I`|qDIex&9S-!QEKRY6Z?ukVzPPU*Yx;e=R#^}F7Ud;Y zDP6(WmREs&i3HxF!pV%7d)DIa5HJ;B0To7Hh0BfH;jV7Lsq=x3(5S`PpC;xW#C@7Lrwjf~HOW>c!nty{bgtWY|K+;JR%@68ve{CubiBjf1Ob(WxB1v_ zT^4emPB{*C>Z?>wEhfN3M}3m}DHRZ`XxZud%?@mskEv{*GJ@OtpYa7+_<~%Uw`e<~B5g5{l?3ZDcYl-K#KRf&owuo!Vqs{3 z>E#_~%z2t?`?3%BaQ-!_Zyo~7O}ni8#oRa%f^P5m?x>Im+zET#S2Sax=Tm9cTkAxq znKZdJCZ7t>cWseGn*vWcJs)fN#RJvx@XboE3uthj^?a>cA~3idt>pK|Tv~(lhr>GY zzu;Jbn%f^VlejjpBe?{)CCzWjt4+<@A%|!GB*io+h9E zJPNL<{#$Jr3qsD_{&t77jDYr; z9#?qlH}HwP+YZ{72S>6!G3S!+`0lDbfuLj>ta-R72K4rvU0pJbhoP|76dxH=U?9rh zc{&o$t46LUJr)dwCb^o;RLl!+^GMaKF}8<}RuzWLep8T_e#3fZzb7z#UK5WjumEj~ zchznh+?vV z$+W=B-mko&>}BC9Vz@I?-6*a2nC(T#5d8nX-qC zACf+({QR|>7&+%Kxv@4w zlLVqK(zVtKJ%N5$DXBZq6IObfoaYSez|vszeEvSn%NjYytRv$F%%{?t=1eTWSMf+u z(+NkAanSI!D)hp=g;j(~;>ob;Cx=0aR&e zwC(O%fv3B{t6yubAkVcySB`TAuM%|<`u19a{Z4@&Ua!4j)KK_o0Ta$UJa|AaB<6$n zU%6MZlYJqBoYKEo#2XH!gs5gIVNUT%`;#}8&Y+-q(BBmAd8SN4F89e{Z}|Uwy>X(CNc3EY{4|lvBk~@^9+8+&6LSyZK24m{ z<4;Z<-Q(&4R_b(7jkT6gc7-puHx%b`&)E7iJTZpNYp>6$899RTwFkVupG;u(NZqNA zRoFv7x~RY-;tCfe4bM$ySV2LJ>w(w3B2+_VW4 zC3CoSoV<+ENVY3kqYjY7KKg1F=eQh%xr|CUUBFwQHg`bY6+}z^uE>bu9NEc!4V^|$ zn7#acQ$NT92K~0(YDL`PpwEnvJ?@8prX9EzP<$CJo%C-V$~1#%r&gPXI42$Z>FM3} zaCZnF;p#GqcZQkr?s7R#H>iK!*OiO^-TMJey0p~zUhLRG^9%Ps`Ws}YM94AEq}NHE zrpX(A>D;yaMCJy&T#94!`SI_$@M+cI4R@GtJO1{nYA_h@C~^Pgi@6kf_7KM90M`%I z{@RRI1b=jTmp-==it2x9(i5TqXO_}>ZwVNo^U)oDx}vR7>)(&}pHcZh6kor`=luro zBhPr~NVOuWq%57Kn-Bvb)~Am4n{sfekyV-GrGTt!4Z`%!s{@lgPr6*P3SzBa5PTrz zi1siX6u38Ri7adn*Hu;+plRil*2+c`q%!)nL{!EI-8uk_p+dG0^frz0$A`7HfPcFO z`!_j}Nzh$Jr*bUzO007jDOuaUdn;IdR9u_?G`}2FHE*` zh80kT81QF}+Mj=-!@uduOQ4EkLOMy$1u( z?esdGLT3uO)YEUY4S5kapQ$o`I6r)gC9TG^YJ&Kcq=M%GwkSPO_RMN3JNo@2((LjL z>>tsLdtQNivNZneRgquJLAPjrfbTY*x0sO0@?qaY_FJ|m5wbe4i`r;A7p!2ft7upA-ot45tBrKmGyL8jM+)4$Z40Yow+$rUxxqvhnM$}V_F7k% zUNJL>g_MsH2g6sCK+V%beuCN#mMxB6iX*cICxa7{v=h3Z-M;FOYvuT#Z=CSh5`IL& zyG8h12u}dPpC-7b1TT-^FcEwYqBlG%v5rsQU`R<1(!263cO~Br~LbS zrz$!0cj3^dZaW#2`JM>`4a&JtBU;D>{b{e_1bmbZ&wL7yX>EEkB@Yg7rkYaXtDFbo0gqPdu zP(mK*yar;=5#J+MpbHrdn}yCgVPI}?c-J1}gH(Aw<(%pwLBka}3lk4AFq*SC^|!(p zx!xCvlm9D;x?i&Qzx-!_=*_pzadqRlc96~6mRU`RX_&EcZ?-}*+N7%M0se4|hI@3U ziVaZ3h3q#UaYv(zXPF{j;k?}a%_Sw=tB*;J<-|B-%AI)bZYD zRJha)R))58Tbnfjj%*E4cxa=A@-Lj6dDdVVs42!39|%K6{f#FFbrJn0$7hj^K{bC# zk-){8{b(8P*$7@&gydDXYWiPJNUQo`K}4DpdSI|r*?NNLVvPRjY)2EjZCz_i*_jevdj@PZD>)^ZUG!^>H<4IR0mt zhwNi0+yJC!OIceW^24~^$3F&vYf-xl>wlw-e>oV*#fzXB$F2>>Y=x>H1|7ojG_3YC>~g8 zBW8xN-A6k4&^1qrj4T~F=+OBPeB9U_}GDLqa%~14J*JJ2< z!?nt28Z{Vuc-5E=e;qd_o|lv)b+#!K+-drtst6gc?Ok^yhy3RoCp@-7r-@u1k@q0>h{SxFn0pZSY2us~**nzxm?j!? zy4Jm}?2Uq%g+W%g>1fEj6L$J6exElsh&bgTiFrG&U+wwM(xNvHnQk_(nL(L+ofunB z3@lFy=<|p~!{P0Np{7wG;8n0`a<2nucixy0)tawFgs@`9R1XA zZT=JP*U#$YQq6<_XJTva4|XqDE)L|-ejJQ_htv}dY2M&xH@sSK2LC;E&7!~RfpGGs zSO=MG6#jYYT{k+6eMd+(QaL&jUcb-px^w~i22+1i-&weVe(l{3qgRgtL%%xfChT=+ zb(G=}SPp?Qi$X6++#efd+;}fu9R@e9cdhuYg~NqHu>p7KAn4*cM{zb6?_;Ic#jLOg zMB?DyB(Hn<==wMA;t0&S53AxnT%*g6?vnz7_Aknzp?3+J>RKwe>(M)Hj(f(R3$&jd zT9gDcnjrT}CHVLJbyxDYmwjzJ6>GlD2N{Az1So!tS*Wsdg`t3hW6vCopv+7^^jo$HZ1|n_Fr(0bOMa&$R(JEFN1-gc{GQr? z9HYxM<>wJ#R<-7Mxr>B~_c5Ky+Gh`Y%Yu2lKF9;vnR(5-_e_z(SrOK>!DneS zVCqL1-+Hng@+)R5JZo-_I-N^Rv{Tff#PaZ5&c9IDVSR=3@E*$0vcqBS4d z$sGaPh`&99oZ9FdZTf+2Rw;B#yH&!;$QXG%+7rzr6$Qd(9ke&8{GeXy_=bO6@SQ_T*HP$vV?!oujL{)NO(*ps(;I_~`(GmqVVKEC5dcpt8qm8qWR1JOxU>Bm$ez+_E@)4&mP z&zj1LmoT?fx6auwr6>ffcAM||ciS7X66VxM z3*g+nQSYceya((^qD{{801x+=na2twAm?J%pE{ufJsh9IUzR(9tfB0T7M~5A&<_we zkNdw#sr|;ycHiju1;ZAGZ+dn<>WBm9DY48qa zZu$Q|;G(`59AANZlbaj{H@sxf%&)5SPt(JET z#o}IHSn^H!co4P|jkmNhf$G84olh%e!HFl&{o!X*=viq!PtzU_qpNh`qIUSa3Vy86 zmf{P4yGd1K?mi&vRaHl25e~OY^|DME{9)@U^%aVHDxeNMm$#_s2_UH&+{1 z4ff#PIq{hD^En;R5t4amStJFsdZlqE^7zrmMV2srk~$*qQyX6PQiCl~5w7W{lwc+H z^!3q~obaSb?n_n=2|PBWcYVUV%u7v`scEl+;8!o7qIpCJEU;ugaXlM@`!B!0Pdy5N z-;6F6Cd;-!#lgAqo>dR78I|-vS2?X0`6)%o@hQnF@+0`W%H^gm_f3u>>6aFN6x^|`tk$TEuCl~4PK3CDeg9Jp+W{xIu%kEXH{NHDDkpGz7lwgo z{O~W^-WbR?%dpw;(F6?`dTKae4%7VGOq0dac3}8VX8c;+}szjKp$xPwaUd`y2Hu5N#m-8?P z908%`#!25g4RqQ1_uPJ#SZM$Jr?qPx`{Rns&Xg>BLO&XG6TuvgVS~>#4&0&ec$4W* zy;u+g`7H!WkmDRtR_YdQayVo%F;0nz;l2H?ix$Ol(QxHJ8F{ZhB}#}q+F+3D0XL_w zQAKu!g1OjmTD(>`l(nqq#I=Qh?GfjH`t;F|bnXi$ueCogs(gK`Z4?2Y_v%MdhegAt z$zw9Xq(FF_vXw$z5DlIkEK^d-5%A*6daDH|_QlKJc_=Sw1J|q%{Y#Pa2Ked8RDz!; z6|EPK9BcjH#w+^Sh(q=eclM$C;2U3fo<5M8RqqX~+ZX*L<#0|_^ZjJzjz~DIE#v#G zR0pMT{q57gCWyXAir#l4D8B+wUU&J|u`( z89v}eq9Lb%8PD$*GYw~F$t*!hbh3H(Aok&vYBUWgdcd$_&W-_le^?~B3|fldzFk&% zCFyk%%qAY-vGCFc@(<@TW$Be*>`43TeHlu~M@%h)M;+(?f;w2uCgov%ts$j)1apbA z)_Vefhrvc8vS8y42V-vEjRwp^kKl6gQe)7E=&%$G)-zs^wfrjYCyf=zG||r|?r;W% zDcUU3tuQd)R9I5NoInAw*o^Hh{9OOfH%@qL2|ps?-6DK0geQRDPZL~If|o~dm=B9iG%@!e?$g9MeYc?0;bT(@&|B|Pet9$r9<%+R%yMyr zXTBOH2PZAy`{VwyFDG1~k2_X>;#e%uSYOcKI3EqAQ{#&xqrt#(T)3InBLtkD-&0^_ zj)#x$H>>IJ`S5f5V%g7okzjY~m`k@B=0^Rsmtw`-R^)ET!V(`1&E8$(p7W7#`2Jh# zUDDBTRYmnSEq@%iYt5VAsEvUl-d~@@TSMXDm!SC~{QXV*twO2Yl|B-Vm0_Pl#bl#?kg0fu5c-=+WVr%O*f_&35d)46ykSE8e7r;3CT zEk%Rrk_tr5wsFeRJQ^6q3La&Z;Pd$^%|RaDIAF1Jtc}r(0sYYeBNnb0=%mwZb?%6V z>Jm<|yN9Fk{>I`{Gv0T0-YQhyNW||c?KV*j-^)?ZF|OL?k|?;St!aG(_tlJrV%^J0 zrr5vss`q2mA!NR6{3b3^9`Py$Nxz}w0kZS`oyQ7#9aJBQEZq>9JV+o@7_i=-n6t#`Ztu{`GjGpzpK^JC9)wl$1^=xzI5v zQCq*${Ll*hWU;6XnXJ{-H#C6b-1=D?EQ-&x}mNQiAiw2PBN@9OMGD1(32BXfj zg~7)I*;lITec<(-Kg_$7Jkb+>=g*;0Zs-wne^O&738_necQ#EoKr3YJQ6^+IsPo<1 z^kq#e>$dAHtX#!5?T~~B@kR_i<&-OAQR)(0mlnbd@trB zVEmP?_@kqCXvfQ)_op%c)o$gztaYpcI6IZE&3w>8l5^aPUsuHtO99&uU7jUkzqdPF zKRXT*j6!3Jaqg3+dp76;-lMAQ9Lj*kaPYHvFtrj92nwe@etkOb1Gk3XP1_ZO#X zwd=b=U?BdJ{QMf`Ftj&4REmp+tVNyVfo~cpq&Y<2DBl^*(O<^angHl@Vh}Ep4+S@m z=A_d<{2($wvRU0b8lJn%S=lVOfJxa^JGQe|3-M;D+cLP7TnkOcsZ-)JQ z58rds;LnYmj)>ejc2oG49za8OQ5G^~xIZZWwuSK{887zhV=o2uUUJGep5W*_nX5_; zpfW&9BM9$}={U82@Y zaYHb#-SM)H+W;AU)>CCVE(vYI<Jtu+B+#(V6`H_JEhN%w>Bj!r2fnZuCtS-gLKhADWlJx3Kp96})FsbAAZ0CmA^+(I zHLe;Ll+JId*;)O(crN90oAHnHo}PiukRV!la{rB^uplLqNZtu>hAcTY8hZmrnLWIv z+XJCFY`on_KLRpNUrQM{>G7X$obcEZeni5%Mfh9@PXNK6Cb*^qFOT3b5quA#H%{~s ziJl9QpC)p7MBangBmOs^{@>h#xK9)3wBdM1n~`)X{Htl2qzgBKo{|faj*pMQ1ruHA zqtj+E@Wt|igGMxb2+yzS$c}~}OWCtL*q5rtS2q)K8Q-V%P7fq`MnUs4U7ax8^XK{L z$n=*l0*d%jKQ*4izLERXCNJFeKuw}(S;QkAn!l3sU&VPj@q(B2&d2cmVw3-7u}M6r zt4V}1h{i!_l7M2-WE9-hv|bAuh=iP*mQu#~VNgGP>#_KiNHE{H_Btsj0@70a`@LhM zp`zLSz|`AFxU9XJ^t>JC@H7S<1?42eMrV(B)vZK$vb(R-iy;9-jvr_97AQnvdJi?W zF;B3kOIa}o=VK-YIksb5V&U&xiC5MAMCj(OjW@^d9Z_6fl0Spup}h`WR8@|GhHF|k za;@Tly@#!y5#PJFyVFV^d@VrF$<+r(^b&ww`DM)^{2V0=jA}0IKMFvm=aMFJ1kH~A zTspX_g~)p&p11AMfhx+GoEqALAmRCH>&`AgP@rvD9(sUzs4DsS z&r=n2;`>swDS+%N;fA#OTnUqOTf8d9CA&Edh;t3NfnX4-}ZCOTPlEK#(Wan3uLW zI0<+CHg$qj-mBsy4g=s#w1Ioz25-KV5_)Gc!zPa3zn}SPWxgua zfG*321FFHwu&Z97`-sE=B&le`KesFayXWg3?{w9Jw>kF{a$Np@-umcMs4OXIQyo7$C94f?{8m9@5ZI zh;8V^ocFI(vE$G2{r%L_V#jc#TrQb0Elz9moh zN}k00^nojjUf6HLo$Zz^IEbGQX)o>HvPlqm+QIkc2{*8m3r$qTyvo!HQ6=vC{%}$? zPSyXfKaBC*-*Fj#uI=h5OjTSC0QEM{TY&e7mHHxG!;$(B>d`RvBhwzF5AVC#(;)-G zYQ^I&NDmZKDxxKWEr9)f(CYd@GxR8b>UW2v0@#!(mFC@YhimDs90J(4Ie+C8b8n>s z^fGk{?mp}bwZB8epBno>@N@Q%fFovLZ?@FUin#)^sX}%PAGAQQ=_~(8p*_6vi*nxc z4(G+WcP8ea_JfDbS<^kbBybM25R*&w22ryaR*ApZ2Q+>)?-|bXZjcXtyIE=k+`VOv zmzQz=`}o1?dw9QZJ!c)ZCT9i4g|;Wg8r{HoN+CZxCkQBALMAV|`NAdJmDQ4&Na+9g z;N=cZ59p%0wzhQF4hY{k;jtzBh=g~G@VOA40D?dLAJ_DMygY)#MDRU`-Z;@mBzi7H zewxVT5qS?{k4Vg?iMa=HpC-=f!ADe$R%7`7@MS08A4d}~8h#pmQrHRZ-no3+*)bXz z;(sPj;QQ56@BRL1bwMC$>8|?-`!KRkKFGdZkpzY!<7d_}_n2BUX$RlkCYsHZmHR7aU%tl&g)}em{7pSq)*LX#Np$=`5PAMd_a=k zy5PiM5B4sUKNid6z{5`cje`>A*Jp(umBe$bD}j$cMM{<;9_tOY7kPRh5iq*H@PQ;8 z?mFdl(&r#FMzm|6q_za#-_adoQ{u3#kXPIsVgnTp3wQF~>%zqyGPU0;Eucu~c1mTf zA}VV9o}<@t1IdCW1q0?$>qTaP^UI4lp0g2pl1`HHX{AE|ep z=5bro^yCrm2Wns|bU|Owm<^?KCy)yyS)uA`h{~Wh0(a9VK6d%X(9(hPwj2}((d^=S z^;1qYc%}TPES`cNgm1m^mivqIwlNw{*rin<>t1BY)o%IrXn%O9 zG(xG4xvw(;V&7vle8KxLt?si0H&~j)ZUvlIra3+I!g|~hhAK`t%NJTebNZs~9fx4J zv-EFXjlu%nMHO_@|L}r~YC_vdC%wQk{MaQ`US|k#O9-FDdCTjOR<@#ezH3@>>+fev zoCi1TtLWH+=eu;mp3?{dAUR-tlYmZo=(Rz85OBvguzp*P00*hqf09g| z@a{krsa755F;3_8HE8)mkknp|<~ODwm`$gx+=_kX90jlJ&bY&$V<4MyZ+k zx(Dn|Cxt$l^8@NKns?X3yg~bJz|XT*eh@e)eQQf55KO1!o)3O-2Y)|J#@l`|U^L=L z&b*2_4NGKwRn!r1Uz6E4snZMk79I`s`r%$+SCvOtw|8VUXxi{q@{$$WfjarQ#VGt9W40%%^l<^6b8ALBJ@zfpg{9B7Y8fe=k+u+OZ_nw;>0cfVyq z{9}AzZ_R1$Wc*%}B1o6`k=FxkJWKgTMa`jZop~Tx0dsX6#whl`#y(Whe!$fXpu3^8 zo@s>pATRFSW~uf8wco#v+N9tt6|+{N0FO7!Mo`LZ8{vN4y?SfrN-yYnYLG&&1lN?{6(Q_g4(?l+h$a@fb zL}ETo%sq(vG;vPv9jrMnhM#|?1X;DFla zPH(w~3}B4?yCNy~5MuZvY;%s+0N!>`jF&g7qx4JKGFrT*h>7nP?c;bJIAphN{5lwW zSU-?rf6?LdAupGGa*70>Vya$!)bj)f#&b-i&ut)2@8?%v&;v#z1|e%LCz$>e81q;b z?-{H#nopRy!@5XQ^jGW$zk0#CeO=HCx-PX3To-o-iB*QE4eT#krF*?)-|hgZx6CcN z}2zn>MF2oWVCEZTULp!T+F8+P8Yn4k9Au zwq{ywp)*M*t2WgW*62f=*gko~lZX7q^>47xCd2c}*kkOSuS@Lvbv7Rjf7_Vf`;i;e zJC{qw=0h;A{de%6ML+nq9Q-32|K3E>2!)+74uCrI>f_2`u6U1bJ*1)?0F5)`vX>uO zL3P~84Smc{HXZx>;rw^(NB?Kq-OY@1+>bxz%rpc5m%wu1QD+~pCu=nSfamT?wTDOP z7J}iJxL1MnpfeZ-x9U1pnPIO4jdMgS_IkE-yMJ!82Z_|SJW($uU}~<(pK4@>M^|su zPCme#2Zd(k+Q-(g;!JjWHvAZRaew!Lk9Xyv*lnMXsJbPn8gQYrm!(l@@oL~c79)tz zW@>9mJ_bLpiigB+t0I>y`@opbHZZj7YxU>FUC6;=Gg`jz2ZGW{ihjkU+>b=*fP}zE0V3(mftcH!% z-Rd*M<6F{;>q+~NnsVHU_fHNZ8=I$VM zkSVM0<=fIk>7T!(I_}Vh#+A&q@JrS}b7ZkiawotI=C{GSt}27~Mq%Oe2YXQEbI#?% zpH-n^AMJIAOM0O9UU}oIhd$gi+*bFIGy~?N=f%h{r;fII1ipot!k6)b5jHq~!<4J@ zC1qL;$fhp{dgoigoIKU_bq`NiC`Bh6#9Uy%qq#oi8s=R}0rL@@n;V&U`E~(&;!^l> z^0qCVpvq-ebL25+IL6!XCF{C7gw8#rxzFGMIS&gwsPufHe%G7mE8Jcn{Z?J;_!vOJ zxstOSXLNuphpjtj(HvAdBvO29jsi{aaZw)ZFIwj>%XHwk0FU2dN2IMqP?<^k@zGxj zpyMi76W8qwt8aqmws9^v`Q<&MTM1TB<8d^5y9eiLnJtT=cu61`PwUmHtPN|!?BQp_ z@Vr?ko6PaM7VPSNcUG;$42JmFkFYok;r-6egXC%+pz|zaZ+M^$xOloY96RX(e?wn0 z&aHVtdtSxa(&`nKTU8=30@w-VIue*L~oqvBN9CqB0o*!@`$_#u}384)5P3^ zxK9)3^aZx!tDiG$;DJJ#X6J1`xX9{y`}JN=7>F1N`4mrrJw1ji`t Y3LdTpZMDy;JtD;^$YWCzIY^9TZOceV-07 z1|!P2pFEhmZ!9QDS3ac!^C#JUs>8cD({DEkvFx zF)MHyTJW>Z*MN0Nda{Be#_&wTBEs9j4jwO5#|ItM2IIOf!!%UJ;1qUR`tWa2P`b&* z_B`(@qT8^%SXZoxy_cN^98L!CmHd#vr35oLqpO}}9%=xU4!>?+H_-#*Yi6{4;0V2P zvkK%BR^aA5Tr+ZxR4UuxRK++1?0hJmZlCG z!sLV9{C=44x21T9+;Ko3_I^6oC8KWzo2ec$gE(JlF)8!pM!O{_7Ij?AQjr6fiG6Zx zPme%Y=GGy~R!77mChq>7NfV@MX@>RMH6XZ?yE8j98r=xc4DiA8Bc(g%@<+X7;e3Z{ z?(}IlbW!J@f}<@D@;gp*;A4R$DouX$;Ptj6vNnkDHk*?M)m_D!E!m#vg2X~p2CEzL zZhh!Pe0hreu>o{y_1~0j9_RnORqxLUi-+QG(kxYvW<-nvGI!{|FLDlPmoTwec z$^B{I$sz@tujXN((OJ288Y2`;EnV@JiSS-;*5ATIvEef z`l7_|S7>xRaIS;1yD^(d3%$2j_E2E4L12g0KbA)!zg!*T4`~5tnqKD;rJ*Gf%J)}~ zx#)q6DjSp@gEM?ktMQx?jXWWWaA5tB{JZRN$0swAp3qj`+?|$R_KPkQ48$@LZ}n zm@w_Eck6UQ%QRBEz9*X?M)~-#O?EZld??30^4=6Lr>TnsSj7%=V}!~FY0wVl6}!?E_`hs*-maoktB6!ZMeY0N#! zjx=tNK@YXcq#60#VD0%6TN6HaD5f2H_@PQ3dMD_2(7$tsi>0o9Cl02<#V)dt>#;H5 zFB@1KFL4U`huKTUZ9`yRgsv@(kO#cY`%!Zj@4pM_D7#IWgrJTe4tMeR9 zDBxTWo@1v`lm-|g^@#bW9kGx!E z9dk)xi1W^OXy*z=DA_6`a8b(dv4W$-{fXDO$+Z}`C? zs3>S((}lm&1{Rq#7HGKkV#Fm2f21}`@3nYpKRmem6O10(BUK=O(S+X%G{aqPcPEO$ zS?vZBiy?EU_4akC-4lSa5AF@!(G-f%zpMLQdM!}$;u*%lE;)24F|xNP&}!hLl8eUk!ZoLT?Q(*_CvV;L>YpMk#g=B>B;I zO4~XV*(qE)M76^NxdsG&9sFj6{A%ak7<0R$>#L=%y}J6y5WgfgW6o4cK;qPa=>WLj z^!L;|6)~u588PX4XMyzQR=Zrs!;p=oLM5Y%7s{l5mhkkvF6Mfv{CT(Nf(m14EPgwY z;Mhj#x~^vk(uo#a%5Ns2-|bCFmvqe0q4kv?(s{0E?*5+F=WBG4P?IEo+QUTf(B_QT zhzbXKGLG1|10k3%`;%k5Iu7PPCe+dAWx}uJvtpx;*prxG)Oqw)C`b!#AAZ^q2@|~U z9LBgKVeLgIU7yJbP>rxNq)1PMvb+`NqE0uYSnz5o{;Lbp-(8d$rfUMe7tQs*VNQ?J zc*Tyh{6^@xy~E4i3o4)?SskIOV~Wa8Jfb+j>45gmGma~~cZbRm)SzWx18qG z1NGlU{aOfzk?;qXE5C$dzo=>{9Ze+ecYOb$Tb&G}el#kg&oq%vU;2flZgVJWRxIbq zw?Rg`4@$W$MnL!%AuZ8e8bEFAFaPXC2vAJ~(KEhF1SZ-fCT{wZa3o;l zdVqaO8Cr__WG7v~;lZ9bn^FO2=Ph+xpmYSSMr!kwn+ah0pi6N$0q4*Thx$~+X25t+ z-+j%8{&0(9$L)ez5{z%1`e{uY18WD~-RK*S1148TCnL<^*)e}rxth!1Ki@dvu_gS7 zgm;VZxe%TJfKhd=sv3QQ@-uq(M@-jkBXdp?e{@GPxr;-p2mu|Sw#c1C}bec*2SR_y7RFz})Yki{h!^yr?*JNEPt5Eb9Wrl8~jzjl02 z4zqHAoL6qmotSI*xc@h+9p;0pFquk}@&&`Kr9fj*9!KEskr3599t1~5bF~zkMNxu| z-^AwKD#Z0gP^Nn@8hdp$c!kA{P$H|=rQ&)!WZhyPF*az8jE1ecS`Uy=gxM|AnhS;~ zt2p0FE7%svy=~FCR%?u&Ww#fMriG&2&Kby0PzB|@S$0^S*G4-f%OUxg7Rn)eOE*{L z1@xUdj9m+^D5UIIWI?k6d^rD1N{U+&CVnu#TG}TD`R}9Se>0jPZaK5e8fpN(oCf`Y zWeu>1@}6*lKqSWCeBji}U}(v5-Jo7jfIVUQ6hX7*$nl5U*)DrBgy`&!wN7cGwSCjp z+ik|^IZIHeV5Kssunt{OptD0E5mK((Z_JRdDk=F}-7l1rlo6x3wZ^jWpkfPSKq4gjBx+Nz^Zlq4QaiI;lk+ z_4j7&Ty%9uRnc4VX3P6Qr_xh$$xE>4!eD$FFjFI;H~Y}Ar173o<3LVlp5kA3v9C5?Sxu7x(pnsh-S2{~RjP4HZGNkcd1r!vw?En&Zw zi#@r^zMpPy_@l{R?#|1H+)@9SEw@LSI*JN&+t{G6MY#sIr(IO>`zyDny=<&E8W*o- zeH?~!8kBB*eEf#Uj8aJViH$uHzZX2mXrhh&R9>dhtBiu;$QP45*q1m`H=}ahBmgG< zvQK-bVqWRDJA){eAr z03wdHh;av*pz2?@mObi>Q1EN{Z&i;-@Hr!WXooNMT{!R?B$GKn0=>(=H%EgZ$Bo%Z zv@HPQHn^$k2R^p6e!0YPc>zfT`uyS?!kq72G zc;$CcrHy$3r9s;c7iI-0O_u!bKWGo0e+r_?|LVh-FgryGvo5er%Zc2j1+Wk8s!xct zL0l{fVwZ|#K;`3=%QTmb&`L{^P@=E_7>QiykllxU9cr4b|L*(3ZJ9rJB(J&w+j4P< zUZxWypLE`c--qYOenX6P<+sp3X={N}Jh$7Q$4_^8%Lbm*Nh#gT)CVP2mwe#`KXB7& zc^|lH2ccfle}8@Tgg4I_CS)uvVA)CDR&Cq^s5OdToQ+dKdJpr&VjXTGx}7DHqYfbu z5q93UZBrGk?rDqV*l&tXCjPo8qpgnwEIY+%H!YCbhpN?bat*Xc4k>+1F+yuQ7@Dud zYodcmn%SrPeUaVbvXg5K7xLWQpW^GHgED67q|7e^GL`Snxq-Xq3w3{}M-SVgu9Wep zwgYN#)K1TS`;Y`Mt7(mDW}5*Unba7{mO?DK6@R`MSi>Z(vE~2qbl%}Wwr?LViBJh8 z$sXB>?0MRI@4ffld#92lDrqCKS7nDwC4@>PGNULfLRpRXdXM9GKYu<)&mYgD+jU>} zd49j2Pa>%fT)im1D8KB2qTGT#e}4{wI`U_^`yZQu5S968+z3A^b$Hz(bXy7vLidxb zE2u%!BZXU|tP*I`Oy{NI4DR(9VU# zLyr{AP@o6XUG`7r=*zggz&Y&0F)O)yy1woxl&tQ|vT|@BMTgF#Nwc0X87h`twqOqt zQ26zSB zHBiI8iREMuDMWu`_3~dvHcnstw+U-OO{(XvpEI+wfoUyG3@Km(`%*y)8nXBglxF?oia4O z>+lopFavIygEtI(RJ zE?v6eN-Gu!wiLU^slR#wcW(1k{7IZwJ-8_M*smu&1-tnSp9o5FrhRZ9 z=Utk;lrvpUI)bxb3(vp0066-cZ+fyn629&~y599B2}}$2);udx1;waq{g)-2VC?ea zgkSicKX&U-g}`?c*mwQTUB{a)pf*Z&xAQ?bWL0b~etd-QZ6zBj{6`YuNLFaW`cZFq z+Iex@>Se6ZBM(2HY3D*YA+{4ger3NZfPwJhk zwP5}ry_j!<8hT!vmLwXif%Eafp@}0xu#YjJs{WWMaKE}=5sA;M2q!(mr-hi)Rv#kl z&+QDOG;8dO%l1IGncT%`j`<{PBqvCImm!q{pVIZDU7=BwIc*>pd%r7;PH;D44$#1X zgf2cW_`A9+eZ|NcOsUVbQS*907LSiC&$u;y?&s%zgt$R`UB=ER_hHZ(NmWcP#4& zWZqr!nsXCJwTs-9siXGDvH4y`cQx)4?rb$5kJV}aIbmo_YRC%;+!S+RPEJ5K;&6A7 z>jX$EgyUz3J$-#-kHZLdmm0`{6E34eJBYN(G(=Xfrv$-sXZ0hk`MbP8& zalvThMi!!`*%k}o2?-BJR;9t_Gy3#_))ifNXE|)OwyyZ^i_;O^9TRl(26tCQgd;K> z&T4)g!3+vsl65xpnA`uz?V;XyFq$|M#;#!;i70C88yH6;&=a3*+Z+^*j2v64e5XTE z^!nb%>Y|wYl;-{S>0>v<`96?pmdhKRHs$`EewsVNew3+4LC z8iiQYTS}>zT+zadyyZ1o?4uBv9=RGS0b}lNGeLEdP>NX0J!|cuYg_-4mQgU0(OKxL zr;9@AUmxz4yyb=l^`D%dwe?3+6d%Pb!4F*+$+F@y(m`HxmnWXY*r1stKDP~NPb2^( zhQ$tMi1nrBfg{^~Xesg9GA>g>)}+U5T^XLo)0^~9hbJIU-TbE>w87}Qm+@ckN3X$>x<%DtzaY;0_i|fZ>TPtp^P;Fn3_tDBmm<{LWH5 z+E02F&htqf%WVpU*7cK?4c2imBro(upCt+U+!ZX-^pl|5faX>%=|$jvlftMLmI@(* zezI|#?&z^*&yP!v?#N$srYELb7p96X3wVmSpa=Xm^+Ty<=xWACf8)Wr#iunCD`RS_LJ`Y%L_?=d??gr5s6OuZa$}p2( zTtrpu4V(Mo$lSwHuxECcDF2ffm`PP0E85D0I=AN>vt+?gZs+W!gLy3bZE242u_gfN zkTpHi>m(3!rm7*M=LJf#C9XXQrs$=(&!22hOX$57F0QA9d%K0xtq=9j{pTAeJhp@% zk??L2J{Q6hK=7vtt|`IGBREV1--GCl6MaOY=R)MCiCi9$_aOF&#C)2Vdl2_&;+!68 z8o5>wa~*2(W5`%frNPIKDfGcS*^o~Do7R5kEL6vls2^O!IV08jbGqaDU>Fh0@ZQ1= zmY$6Tf4ZW9Y^f|8b?MFE=Dd;pmC|GALgj_WCQpq~g^m4*@87JD@P%jLhDjmlB`49OlVyuw*z0G@@54s(v3ST|m-RF?)MN6+C@uw{NiTLZ3?N#g_(spj#k_^kumr z99Ud3e|o|j_i5XNyLFUt4l#FE<8Mz0KE8|nRE;~@y`2}dbi4scgo{l0Vh(3|!MSw? zWQ}Mh8)8Uh-H>YLOgF!$3j*n|v$V!us53$~L+i5(Vvn75>D+Ka@fQxse8h9%>Jv3a z+?ny{Yw7)p;(S|l9w6N+_18h!1V!pomv=!bk7|M z0$(#t!QPw3aQNV>Rxc52^jg0|$?X0~P^z*CWZM>nWcK9RnhsNh6fsLvKm`;TM&FQ4 z=%Ke(Ss5R8?9hc|0gi{`+KA`e*Y8wo9;kY{gE2zP12HaCkUiheaKh9fJ zSJb^rFh`P1t5-hU#eTuZ;%RJ$9;k&sdn=}l_-2+oT1&`*ZP)RP{77SjyeD>;?hB$KcfOBW z`etY!)Te)N!~BwHGP~AEWt6NDE0^)s9r@uejkv4k$i0bWcA-EGwFmb~Jdn^wELrl* zA-`-;FYJ77P|-wpCFV;0*kZ1c-Zj49C{-|1I$(75sTg{e@P+-;Nq5w<^7_)oRee;= zLQPk?!-jHvwk7}2DI*E`lpGXO{=3jc0VWB$>6QkwsCDxCe1EcDLX z4|er`&C*f}1iAEb6X_4wlg@FzP@f?TY6bdT3u6+1zJ&uNzKI6kcN7aPjz*~AZCTqO znI6)r*}bejZ3sgoyeB>A4baoq{5D44xIlhX+|^3k7`$12S<78FLqazkYkhQdk$yz^ z_ja6v`h6k$vG1@cT;~dS_7L-*G8crL9^>A=Ue+{6xO)KX|Mw%c1Lx%~)me6sC7vhnisgD9g}{>exv?}63vkr_6R&#S7ow9yd=^!r zz#!+_-i3oH;LYVdYuT;@{)s6*w0~_uu);0zfW0d`x0caN?=S|ZU(p2xd6)zFyM&$P zO*mAO4_WSE3&9*_?Q6^v_&#~d#(k2+2evD;7*#P3;koWx?_1en;5*`9z7`S*m7?JyaE+DB1Jba4%4Zmnzp9zV&fjI(^&~On#cH1%9!C^_LE}s9L@89K!1} zQniC8Pp=#L<#@s8jx(J1on)YWgLkIpaV6R=dF`=V#v9HxzX{;WR)PkyAKmSpl1S$B z18ELNJ+!=U@OX5DF*?Xc!X2z^jDk)XYh9riL6^8s<)zFUA(P*a9t`!mqFUFWdlAp+ z@%%EQ#>R~u^zQrpcypZ_O+G(1CgS1@FB1B<&o#3`T=ZWoswdT4 z9XklRJr7^|>pP&@;a7jlM|sfnJPm)omMZFc{5EIUCISUcIGzt+4u!RMH|+l~i=oFQ z7Ml5E&d7PLcKYRl5bD-)$o$1~cW&B>+A-1P_a(w1;=#|RK0G)w5szj#0^5T3^ z#LLsgv#a6g%b%r%^Gjif`gw9%x<@GDc^*}{uRR#GUL7*IUCj<(+n?8jGJ4>v>(IR9A8Toa*Pr%E^sSm7qtdR=G-^zTe2=qdK$zJ8A3+lSO+#R&X5vkJE zvF>tVM>jveyzb_B5Qcf4Pg~*~(a74XhcF+AzDTJxojMkQiu-ce?HycET~l=LTQU#y zR%dU)B&HRT+*p3Fb4mjV>}Vx)rQ!SaU+WhLpTj22duj^rm?Mo~o%=8&WZ zN{;g0O=X-2UbIW{BckDOkiqM?KklbjTAV)=`Z6A7?fCyjH)H^xiS7As`Tii?Y5J*S zJ`^T*f0E9V3T+aFyH5utLcxi{Lwr{}PzB41+$ZcmGtV-4 zvfr5-9@}_H-du1-I!F5Vem-oC=yD}<+T0GJ!|IB1HNBpQzM$>FyEGRR%QJktHqROS zjRYm^ZyCadpPsUc8tw-SkI6E6gu-%d+N4u?Ana^ND7{vb6sc)JA65wUq&+dpmNyd;mi-y7BLsxVgmQb zeE|$jUR27cX`*_khZ-O2Z9wEHdv)6`8`%D`)KO={g66pbZZd7y1LMUu$2N^P*!=oW z!9ElJJb37vIo_U!J*qM{_HlWEJv)^&XQ%_jk9utSW8Y+qF%Ko1K@3zV+uiNskp!pa z-1?sqI;g<0Yiwgh4Fca^my_5uLh~;3bfY~<&@98|M_CaJq{;U2s$=K=^NkZ8Tf&b> zc((|j3*iYM_|pW}^gmwS|2Rwp--GCl6MaOY=R)MCiCi9$_aOF&#C)2Vdl2_&;+&>` zDPi7x`ywzj*}3jXOon=!g?W2*6Wm{3-CFZ8fyhoFM|kE6VpNLvqC;hoc8}Y#^3qa$#0eUZf|ed>z*P=u?Yx8C*}7 z$DHwgBR<-+Q4^A>23zHtC=qj*l~xiN_JPo}9{w<51noavtnRJ30xbz!;o%x_@OTj| zghdKJe?6= z(B&^0gE%*4ye?#r;DDaAUwP+6?~GX0p5@&BW`mfI{&^$Y5rqb;JWihqv_TbzJjwPe zxS*LTmf!bqzRT#cLxzX4Ht;;-H8RW$L`u){uk_7pp#i_cjp&CG;!oM1b=gA$B@b^e z-QvQ$Iy&>T=c2|alve#X`vrY;(zg2@(+d8sP8iq{9>jYC{x^+OpY@Pm=b$I^oGsdZ zkZg6!SQhPjr+y}X-VrfLrssd$ZH@%JFACTE(M5L1o@KMq1?^I>T9Pcl{y~a=o9^7< zh%9pE%oC45l&v~coJH-ARu2g_+_A-8UVhQ_na}^qVX+ICKaMZM?&RqSj2jW-W^1bM7hJH{+jb#Ptq4YnV zZ+iYHqrxxc8DiJ?;YZD0lNTvo=wynRGRagB+GMF7`S%b1o=dkg9cpqxf5^zK-r=0b z8QxAUV+#dT6u+nD^Qa9{`#QMO?dO7iE^{mM%>;Cah!Y2nwS-ae$w$^ zOrZ~uh&|Rjvg!khZM-UHYoee$R=Tl#G8kl%^t(>}aX}+iRN}_t*hlu))nJ`P7Ono| zX$_6DM{=+JW(?xoUh}9%<8@CBByE<$_>jg81s4U?uQ@v)8}ht2wePi{C8cCEeMJgl zkZN_cHZL?Xe|Jg2{kw4YucqG?9ic4b)IdJDBN%;d40?w1hD@AoXKN%((RT^^f10AI z@a+0rkmVsu^iyq|X&d*X9A9v3E;$LJt1c(K>PhW@x2<2s2hX+Ly69zVGZLZK|5;A0 zvLUKDUV8E2K22bmnX1-t5r>tX=#PoLnkXi(%r=%C*Njs&6cJAlOp0|kx)!;?$Eg+C zqOEwaJHK0Pb=Vv>OmEbbW+>pix?!l8j2C1fYf;BeKcHKrzxuaK8i^g$@F@O@^Fb{~ z^Lqz4(7x`IM|fN?SJ(dG3$CYO*!$`=d$7m_+GN}^cBnKTU8=30@w-VIue*cmCHKC;Es)&xOcO6S+Jh??LPliTN}!_aN@m#5vuo zSY>N;F$(6dIVT0)*MgK`sgO(M(zqX|{Gc-&b7LOOkx{)gLKfKqG7vGDr5>6b?)HOoJF&2JX zrI>Fj%#S3xO`(C_M_+kV2I{Otje?X`+V7LoFMh)F-(Y*;CqJ_DQR`QkEY)r^ICsoY zox__G)t2cRFo>C=WeTy5!SfDKSI8fAE1w0Zb`DOa80x^`*PkDcgsUU-uVeP#wsmkm z@Y-bq{9ONBWib@w%0o-HUpYS-_J-QKG*fNM4(KSy`=OUw&M0W2Y}shq4%rThE7x~A zqqh`nm4m^isPn?7p~w53kXIKk=W?SVs-8bQma!I!OcH!;TdggTp)UhVEA|2&eBW~~ zCf^OQ&+3y-_^YA|EB6|c@cHzEY4M+|rV+}vmHCd-TByCVyFh8}SG#JL%&0mO9r_#| zS0d)e50AZ1zpijshmVSSv6E`bNQo@fsAIP-Jkwpd=&L3KZ?#s#GRB0#WdEa>j_`Fw ziAVto2GYGyS#;Gn+K2-v*Cq3R$jQU|J?HPYw6h`O`N1<&jcV8vv)`gY;uO5{)p}=H zu?rGcx^sj&R@(c|yYWROQJ{*%tv}2YGT>!($~mA}2wHyM7Qb#N2#2d2JEb#q!3OuW zmF5(o$#tJVxYS?8rWda-E~tvYmZYDuvKoFbeXyv#%{#5=MaGg(?t2I+OWCDAsNg_S z>^|I=Y_Vsud?k*Z`kA+r*-wP#oOo|F)8y)PmE8ViIF@H`-&e3((i^ zw7}%geW$#H9K}uurzKXdD*iCVTCFDw?O7s5Q3Iol&?NIc?BxT@bBTYDCgXn`olPs9 zBI!_sxA$`rGahOHHJ?4pRe3o$ExDYPH+T%Lds$G*v8w`G=Hdf$H!{Tj^V>SfS8Whs zKScia_INw zfSJ%vPhUJObgG2+SYAI3{5$<^=tR)E|ZoEuf*VLeL`B!LJm0hRt~$s74KK@i$B%eV|$`T-yQ;QMMW7T@;4rIx|@>Hbeo})sH^I-(@$m z@7+|x`>Qwff34PSq~MWxk-PXuU3eZeM#-sQ3@j0&XcW({dUd)6)(a28-;eKh6y#vjfyV--SW1S;c-T#Tf2>-1tD^rU}v%lxH17Ot7CWtnKTU8=30@w-VIue*L~oqvBN9CqB0o*!@`$_#u}384)5P3^xK9)3bit=9 z-9p&+Q^8VR{aQ)`8U?>x_*`!Yc6&H1dd+x&>f(8tN<&F_*;G5~*Lw=oRE?&!tu z#46FNS`&JNa~c9}i@?AUbNXINEl@1(aqv}a?~0SxBEx2 zz;$jQP2tY|GcE@!g}-US_(frK>9dB2nGswy%{yyZt_h1RZjNhfcz&|F8dN5ZIW0rx z8|6AG=uPaquB+{4kW~};x=O_wUg-3(-E9;{KIHy`caE{c54EbH$yr@^wYckm?(-8U z=mfRn8jl^w9=iTA>n#tE3qAg(a}j@6Hy=x5rHF*R&Ti?RvGSmrwtn>CoFur}zhkZE z6av|n#zIp84ft~UlumGyI(+sdk3Ij}5L9M=Uzd613cJf4U2}2I)3(ZXWxdr9g0G~B z9bk_H-E9@|X9GC@DbV^;E`kFE_Xb_16gL4T5npnzd1J8r_c}iQJHQbsc5{zeUZ`x% zNqC#;0@F#JS2lQk;etSa;O15|IGMkEcxQKG`~KE9@m#-X(6G{c|2T&Y$fJkLyW5eU9qS#avU^3R2Gt&yI%4eIl18aKC-^PU`~GY8d>U-c@(OE*k1)C9c&h zghH4;)uo5C!613%+nZR-7fvMe3A4t0D%EY8V1s__6SJNFvQZocoAh{|-FpHS=gxk! zObmqk6gisREWxl6oVhq&5)QwuuLl;bg}~`Lkr&K&qTt3`kq4sLK`?__*jBLz`r>*z z+1=qtkZpb{`wr(izWmji?Z$q*s}wdfN7S7`jj51(c7O|xlF;8OP1ysFe_YFakAKd) zeO4V?Ri%(lqmbB)W^^Vnn4 z9!jc1GR)5b80>WZ{(*bjjbVDdMr1Ca-C1qE`>YO#E#0-Ysj>xzv=f?~MRstTMx1of zH5}xs3a!5GHU%@y?4V4dy5tcH3{d!&yTOk~sY5A!j5t9LU_j>Q~>o z7&XoTTN&3jQzb#v=IR^f-A+(Ut>pXk&S{`6zw#oXRtxC)=JsX$bA_k2_2+IK;s-IK zAGCCMKJK0Ug~cE9Y}=xaoLkOOgB!ge>a{Ayz-wXY> zUD6Z^Xq4M1^Rb_YYkIM9uRWZ8Z*#7r-WGdt#1`ICxc%oFCp@-7r-@u1k@q0>h{SxFn0pZSY2utt7)KW$ZNxx2cLbHy zzZj5R4?J@#HWKXRfB6+C#=_MDmaT~^Q9u#1b^20B6kKkmf8P@n4U{wmr#3%Efrads zf3^E!Fb64?Y3o-su(>1%jrGUEw2IcHIX}!BJ@5DXMrI6H-Hs}4)kuWqde}aMjb( z-R@AiwkZA_=Tqp9CBchIYY0%KIbow^4HvYSPqb9K!CoKEeYTr+P@ECq`IOck;`tLq zWpYE{e#Bn8&01ebXrS-TX$gmiG$JNkn1eMNsS!{UjK8zw>ugv*L_++?8|^1k0l>YZ zX%WZZ4!`>rXf>QPz?|m#j^b`5C~zf1L;beUA1h_O-5do&LGtfy$Ia2_XhXIx8Anjr z=ab)YyHgid9w!~2 zl+lEwf9`>YiVfjR@Xd|{b#GYu>n}ZzpL>Ik(;{cb)ZzZolSf|+guqEh#ckaQ>_NO| zL8Z{efD&)0sPQjr!j6{F+)Y(Y_?h*&^;L!lq9PY0?a4X`ViDR89^;<%%GvR!9g@EA zr$^Pk_z`|yUO#8Q^WZ4DbW>ZPuV7O#&s;hq{ktg$@5*z$@LCzD(mS5gYjc1q$3$M& zXA@9{&iy-vQSj)OHHH4ZK$x~^GM@by0-r)Pv)3Iknu)e8+Y9sfl1}?jGp_i9CmpM< z;;snT+<*3yHqJB4zv>6`Lj2stuBute2f^!8dZUuR=^%jNx{Fq{CoDXWar<`C3;cG= zR2_{9#oPq8ZCiYf_ngZcJF+(lSf*SSc9nWVn404>iC!?A|Cyqj`aTp4`zda7@Aikh zR1t)-!=a1+UNnKC(4(YozG^^oev_o`fjg*>@2!l%y};JG==U7{N|5pM(Jnje zzt!WhJv4U@`-|fv%5CWM;Bx+$W44SHaEm$BvwgAw&adJ{oPuGXcH`>TA108>54ht~rx!|`Kyyr=&;2Oo7W`b;y&|a(YyYnMEc5z7 zvq4Rs4;$_uP@Zs&G4zJkYgD%a?%@9}t`F-9bhf}YK<`9e<`1i?6`JjN0q|$hx#i|} z{N5b>c!Qxm3`CjMOyy%8;lkW&+w;d%aF6ut@r`T`_?gR@&9Q9<+A$xROdI^+fw;9u z4RQyjv>++T4b0KZ?DV&Z!hO^Jp?eO35&!wd36Cw|M=XD@oQ`HEBF@vsTHd@92Wm9GnJgINA?tzX5s8vi z6o2iEmH&%)u>NQ>*V-Qi9iRLT$X*MB>BjC9CaXm7bEQdpEsxJdMc$@Nk!V=rEyz!* z2nSP=FSn--M1g&GV42PB2;ew+B9z@e2{kQ`rmG%}0k8JzF|t>fV{+0mV_1aw)NH{K{m!Y`|nU#wJPfT82?awB6X)KCRJ8bkq5&2VO%desAT9R-}dBO`2yo5+E^~!>UQ_+uJuy zmJ&c{_noKdgGSJKBSpb$QWuVK{%qQG)q|qT^#hD+7BC%|rAHHI3bYbV^ek+)&~rE? zpVQF>+^cMrZMR)uqs;i6I;RsfP!GMlDV+eat%>*jeQ_>!YS!m(4=*|uDk7uAioF38 zYXcSOj&P=>zUh~cE#%FLGp`@h0Cw-}J*6*vL6qNhWyv}ajE@#H`A=g$?ziw{+a!6A zI;0eFed;7Ks_#2oD(?o8A$dnMv`oN&{aS3_HyyaB`)Cj6EcPS&+7}qtM#2)q#GCBN z7@)n@cfU6`5>83$9EfnjzponWCk38_L+Z11DOb$#RaJlOA8Hl~k2fhpO_fn` z7xUw<8KCS(fsxq%%-^*(s|xR&Z*kjAgh5Ux%?16^NT3{a+2?sK5@z>`_wwC}1o=6- z+qv11pxI*dX)Y%cj8i>y8|z}=#U7_Fwr_DDC==Xn_Baflqy?Yw-JJlpFNrZ^;Js#y z(_!A?Jv`{1!)!|^9W}DfSw5!pO#+Jh+_*d}Ft6t@QZ-z3h6~F7)>Fr&(23odQ6wn_ zz%@lueokEt5@S=fPB800&rIcrW3&St-raa&^NKM%`l;*{U*-e{A`=We^PM59`9f3H z2b{C`s_NG`>Iz+qUaO^&m}Av2RyVR03akxH!n>5MVejS1iM*wG`&1vJ0*sq}SUGD_$Sv))Q z{L7wPLtv?kbu!)K4iWuHkMm45!C*W&dN{-tv=ndcVV=iauDzFJ7E|R>sZzbGahg38 zc$Aq298-r(L|wUe(j87sF%N1gI)Y=JjY^@29XJ)S>sQp`PpC;xW#C@7LryCNylSEiQ?CdE1Tgkr|5sLzH zI#urd>l6jUHWJG2S0i9A`z5Lpj|ea{zU+Eq1%D4G-_Xnqio(70?iYO1QII|(o!glg z53N5Bvt1TWMlqjuEDi|-K}M-o@$t$)_&GZ?yqVw)Ruz1veApxTSHU#HPtyrjSvt!Z zhF#!HQ7PS-ZFis>jZ|!1w1LlID~OUW5_Sph|9hmwAM$@ZlQPwfhC~mU*D(yS(4`R> zs%{ep?5|t4CPY8StcdCUu5R;8G;X863tPbJX+{jT3>9zCK2&MH1j-$HTE zK_RluBTWTqChjlE#QrY2;Wszs?;C>D(3AT`dST#bq18vhng}=kbv%-?GXyabIZ-km zO^ErelK<6P9XNROzmfLafbv&l#ADvEPs zXEi{3P5L8sO9;5OB$L)Yjeyx;g&QpR`OH<_7xm&#B)FAYUdyqG0kwxmPZeE@fVAb= z&%!-1uzYI%vaV$Uq)r|%th5e;lD(C;52q$V&6&;gj6@%JhmnM)S0v#C&1uYPMUeqMy-~+!t+;GbF5`gr={D=ph_7E;^Na2b1Ml^Nhmd_qJ z!Ru#lG}E2EKu)suEHmb6?QQhglE*!T=f1ZY{~hvxyx!`-UBxCasm$OY;OGIQ*Y=g( ze&hjK+?rMlZ$e@E;Tp4JrX8qU+S9R%$s1yHUZ>y1?~{ey3z^=BePB_lJ#$e00KlI6N7f?ycn^eK)<-c!UewRx9 zAbz_bFBNkrO34+OOUGTHPgPK5JJ}P?2QH+SW4~2T``sseU)?}F;H&dX#Xx*skME6) z^9Sdau3uy4LP2IP`wKmMAN=Dt>O%TE0!X)LPgvpSz~4#f)~P~ID4gmVRMp1Zq{Js` z_uDaVD^5N_{g@r(*xjkq$#sL;mItNhIk7Kj;YJ_ziW{u0raaOtbON)F{s+UactDP0 zoZl*yJ?zXX7?8b;`Oh~_cx(wjBH`U4d@h71fZ$IPTvLLVM{t-3z6a48C;Es)&xOcO z6S+Jh??LPliTN}!_aN@m#5w&r)}fd@KMDQ_&WHWP_u=lQRzJG=NS>#cLXI}25nX>c)=#o*^;+&~=jt_w&+$};iq>pQDx(b8*i zFltFtuJ0QSw+jze?0=g82DzeSk7{D!hB=R!a|Ax8z4XYZt|bEhG0Wou3|Z)fI8(r` z=5YL-w>+te{aYm?gRi{&{ot~-illjt6AbsuHo14W!kt~|U^t3BS|23y4_kTzAANds zdW0jWvsOQ?F2KDb7Xj~kSQ^;(weR@T`WPss9Df!N6A$OxKBXkeCW3`nA{%*IBD~|s zXT8XV{Ub|iWp^xa{~)D~@jw-x<8if^yIZS6M*wZl@@033n+jWe+#LZFp42iMFDQ^R zvlr!BmMTR3_N6HOUvYf8qwtaDpS|~*A#|SEp0*9rMG*p@zlBqp zLsC%9M&l0_DAamzc`siW1mD^;Vx)|epbDd#g7O)-$#Nhdsm7Gi8tg~%ObYBwK-^$Pn8F0-%${$_ zr{aFcR!jE8yMszNXHxK3y1^V&=^KsZj4h#U*9`(Gl+L zXi$dU_5$+iI``4_aG1!U+}iEPhg>SdZJPJUpeaoWuI5#HxYQ(};hDt+6t_5fp8+?F z3lw@jve1GTUVk#9e@8+y`@VOSxIfo?C#vj6WC)mO?pZ61ivVWZ*~a_Xp`fg0oAymR z6oS|1?6)Yxpn8mdY^N3f`)n#w6>8BC%JpsKf>k6;JdwX0e~}ka8j>r`cn1UbmBVw% zPT^oseKMXC^N%{hF0FnE$GyU1a57o&T^0WMhRv89 zxe^fq65|Tz$A8B_gMDegNE@E_#uVJ_Q&B{pBTJgP4y&M%qxz;_%(mKPnjhzf7@DBN zl?J^9`HrA=YSN-@NDbXv{4t^&r4F59rw$n05Q96FrxYiL^}+a6?$6`gPVmJ(cE4Z> zBUtl)ay-Lm3`sYSx!Dz1!=d}~wEdoPz$lwL;q}`FWEa#g=3qtM@p zR?q?G_+5`abK1g&t)Jn+79+5KcA_tQ!5Qp-_R5O!N9NgLn(bLifT?Xb3^*_5H83oHTKOJQW{OTZ^UrmQBe1T(OyR& zElSU!@304f<23s6f2Gj*ci-gIkukLV*;zcrM&}~>1O67rj&g(0O# z8TaV-*2!DS;rH`-rPj0b(h(3F-q;#)$QHDBi`g^v8iR+*gYj-EL!h29r4Xc10Uu9+ z&Rzyf;C`;oQiOA9VxQh8n?1G!vr(pM!z~L?-{-^{Yw8S(GS+BOqmA7&?3&P=R z#oJpdyTTA{2v51e^GL7_PLWzX77Z)IHC5N2M8fi;@Xi1{w^pKzU%nI*39U!CJUL!R z!|Ga%TC!XuTq>(I`OOs#pEWu&;{9-*bM?k!E9qdwJ{+EK^+yQw^ON9?;dPXnyxB?%lEu&)=ko2JxDzpM?r>&~u>DV;=X}RyB3jlokA7-H?JSfZ7F) zJrHhebm4^#`5E|$kRMmxPzN5-5C=73WjLxH-s9vi0d}gMixab2P!{Bn zo_^a1p8K^IoMUx{68XW)`)SM}Fvt2tv?4%peBfD4>`zSGTHru<&j4y37Wsi(ko|!A zPZ#-V=y9#kDz*{^Uha|!Q&VMhV3E#Elv)8K%EPa}Vse3}=S;O{F^3?iTBm>L06y1# zIe+SVBnIk@r*m9)j=)z_nR|Qi{&^#1v#+035u}>s^{KTt6$LHQHonOi1MgKm=Z7yN zpyQaQl<~75xRbm!`&loQ zJqQM}_xUTXr1(A{WM;7QxIgedB;q_u2E zI8J@+!g4O&*NO1|7~wMmMU}-f4R~&{XWtNQIi62?3Y%Iq;&V~Rn2$kWk0GeHq1kCA z3s_XIwkYs-f!3&&9n$NsS=f+)BGqwGH+*k*YMNfg{qTxG4KvpvT~s0} zS)yU50#d92EIw}hU~gz-+Qn!J^A-kSb2pSB>cPYl>9SQtR?;-l2nWm^UK+q)HOyCD zT2~e6lZApFC60Q2d$_@zwCl$+UFg&6SBUU&gyFcwMrr(AJT#?r?Dc2_&~RNnD`OT0 z`~!Xa1CE(P2kG=-&M8R{WK&SSJ*x+21cLO6k^scs#4vtPGzJIWiZC*A9hi<=4|#G} z5rU~c-gKAKgQ{YiJi7a~ut!5xR+d~72Gw&vzQ=pybfrBdj*KULL_=BKRIeZ=C2O5m80_6D zJrk~h_c*_A)-U4wWNvAR$MmUqXxVEm-^LXKkyOzUKiHzd(k9gE0Cg1jx-2X?{)-0c zpYE?NG(|vw_*thqlTc6`s>`H_iGgdGWgp~lAEDDGT)T2546KGV()p}I;jdtI*euQu z7&l#u&Ba_sMwPPy*_YyhemPy#Ju(c~Mnm1NU$uwTj@u9WU)w_Tz~ftL8F)|gK}ukS z(h?d(E8^w_+@Y+EQLiG>3_4bpcErRTfnV#z3yM=AAfNiA-6qr%(#}maU9Jj&iLP#o zyLe7=p+PFt?IWIls=nQKD>W2oFWX#@sq_NJxu%-FEEf>!7%+bjWDMW$$4$}Q!`?k# zmULcvSIlKI;JY(`-!~lZ5}#mBl1Rypm35IhT$htu9kFl*(}y>c{GRATn{08F?@w8{ z%z8r0z?8uoil<_;3EE!Ji~4IzHT?#YMyv9PmieU36M9{SQ!FBEdR z!`p#8mA~(uVfj|(z6Ay(SXdCW3CP8eZlg=MKtV63j=Io-*Lm=K8D z+K>RwOLR_BY2L)Sh^J=f$~pseplH0ltR~+b4vC%-X2f$YrE5>WwBY$P(_NZavVZZQ zn{%SK+b13zZ}15GsgHzFYw3?mLE-RZa6>daDH?Oaf1jlji-31N>|7lF`1@|DDfQ$| zFc^>d^O*^K9Z>>i`a6ik_9@YqujCA44T8e@wo>!Lj z+mW#K;pVJ0e!jOn*$NnO-b9#1?%mIWVPJR4W%lpcSm6FX>>9DI4JM)&+xM4|LYdt@ zMcyGw=(9h~U1=Z=6k)HP(?~d=gcoOnF4bB=OY|P09TGq(ODW@%w>d#an1Ql*Ocsgp z$IvNvsK89W3DZ`V1jO31^V?zmDeunoJ*hk|2+R!Zneg_86|&PiiANoQ{U#*`JMM3e z@_1jMad(D`r(f^CcP$F096f~D`2+cT%PXT=gY7Y?73cWlSjPrv*!p>wt*5LJ4qV*r% zU!K*R51n8%ft-u4qS!J#p_pxQJTA%!dXxuw=VsK=(QAhtLJnEOW`^9@f&=EHe~_fU z5aJ9u(adfM(Kc}80`EU5VPnwTySZC#3j2CPR7`ij$Npl>n;TgMbYqfmaf0d4!{4|iA$ALYmp1m}_-&&1_N?BIN!|R~NrfTX4@OU(rIk^k}|9^d&`vUiE zDfW8*aGs5Y1f7$$GJ;VsMj>NBQbPwZZwE{`8e`x_@;l}x?c|rTrHb*3zGg9S&{*~3aRy!Jk{;-> z$M1{H<^zi4JU*C<&O@2s?+LM8yqSC@?jR6VJ1TJ21G;H6R653e;YJagoZy%nJp80l z>Wg_&*J~c79X7&$U#1d<$-9HWewnA5c_soTMXf!^7Gq&~I$MH+FBXE#o-8rT#DVC1 zY|tdmd0ngAbHDEf-orcYN;-GJ6*4QH2yBMALRRLhZatDFrpm{S0^xc-qZuXs=Q`4P4FSxB zziy#yYrTYfy)LoS-1p)^<=LMYRgrU$xA4lTs0Q~m_J#}|SPOuUAx{(AFjqA7#8Bns zFfTkWGW*AH(jSf;Qp)-26aIwm{e$P<(@e#}y$nLt@i1(<$ z%!;=0iXpIn(5fkvG8Tja=zd&&k_5{w%)M-%&Oquy8{^X>N%%WuZ2!RR|0C+W|G948 z|4&qivLj?gkz{4dA$#w=_m;gk+1c4M3MnHMna_%{O34UGgOHJuNaA~bZnyXI`u+pg z53X0|^E{8^@wnfkAS{RZpT}+#2A zAlCHk;XZ;mG%r`D2zeU^TsIk>`g2Es@^hBA_4RQ;-Q@Jt`kx>y$LoIYdS38Y4rBWiLd|}XSmdK~ zHr{C(*pqovLIMg>tdU&j?#e3gWt`@m6Feu?NT#m|fd?ip8s%m}!R%F~{bZ;+oF#K#jeO$- z>||}0>2`9MgNgG<3F>_~K7U+NDXD|KJzE^rUa5^eBsCQ^r@I9A7cBiWuOl8sm7$DJ ziVxPbym;<${r97Ybee z{HKh~BLQyDd}%>`&#ky&^XuPyVV2;_*#1dHOz7XOkE?$SxQ>e;2X1+lN8u+86$F=-kY*{l;5a76Qx>@qTyT#K7@Q@*nBs zrdX@SIbsWKcc98t{@{-|1!`>L`zOf#VX)Dtv-R{<7%d?Fd9TX{nl%Rx7SAF7+_U~H zE?Zv+eH5tAfpVpucYCbcMPgxRn4VP2F9^Q9qn6(xh=vEk$ED<1VCJ&w{nNVnA!pcl7DS~rtphu0r<}!}Ujf#oFGt={Ag{(+rBL$% z@-Hy#%k*D#h0W=PAz^A0_)WiC5;PD2_bM#*ha<@MT3ncpu?5N^ zvkM8-$opPc<3rNx4sH7`Q}#AtKxES2(eeV_Z$*aoy-Z?&wt0=`n`ktQRefw^NB!ha z)Y-*;=({SV%J8+=A`IOl9oR*(LZK=0u+|beI`0KEx&NY^_Nl<3=n7IpSd3PAy7ws< z)Ct82{zL~tIkAlQMq@a98YH%9nih$5>tS6iTBH^UPRHpQ) zXy|&9wcKVO1O$_G?=z&Mfx!0d*4b$-Sb7`7+H;2m+>gytpFGPCcjh#X643zUzHYBw z{$Y(d2QSjZFIs^l*TpirY;o++C}V$qt|+L>jaFRK=EGzL-KeV{DnOTD3wzEs>K#P& z5N{x_7tzgBYhBMK@3Py&RgHEsn z^U>@604E4}CeLZs?Ept8^o&SOJHS0^$NM=qyg;#o^qEe!K78x5(jq;E{N{S>enxR9 zR}kFE;71n@V|9acw~O5%gq`*KuDk~5d!5>3&$5O}<>n6~t@iMoQ;$}t(-i*nKFc7O za0j)AW~XW6?LjWH=1p*`8m3Bluk~Qi1}M1?|1~u=fZ=dmiuw$c&u063?aP=gtVp$( zT#++_zU1b(pJ(mCz_0fpg2xS%wZpLdH|N3ZuW0uChATW&>9WlzwuR#LFQmrkJReIF ziu=jx3{FY4wfW+qVEOl}-`=ZW=*?+xG%t3B8%^UuQrebaQxYGlL$3p@bE7147tNuC zVf%A#wGKRE*XR9rMF9dSUR`EhY>am%$~{;VJH5dFy=-{y)Bo=qzyCjvE$&Cey<51? z1@{Et{ArwPiu3Yt4inDzzw3Iq>tZp{S)t>)cq!XZxDltl{dFV6>`TA=6%0Y?H&_2ZAjVKDP~+4PNI(31bK zY7`a2<&f@_DTdtTnxvTAU8$akdL%d4Z=na0B zyzP{qP%bZ)uur_s6{;mCMSjM)L%@?2l|Bx&A^!(vXY{j|rexVTSPL!VZCkp}Cw=NuVkjTOx0r#Yn>#>6S&?De zivX~D8>sb!!4}RRQTHJ=G6i;R|0Sm8Ao#)?;_&d02^7CjqjW-i3bE+p%6Tu5r}3pm z&Xe^hcv*ihihDB+5(%Ymo>UEnJk~CYh%n?`>?~P$7vlqEjk!DpC;dR_U&#@5QGW=f zEtCE?f&B8N6OH1dZXkA$zshw!2!8Tn6I+OHp_hC3w!^bDa4qC3k;qSh9@4m!*?T&` z{U9rQ)4~_Rp7IuldwIbHc_oThIw+@=l)_GU#ur9|E_#L&#DYN7MY}kMNO(VLO;Xy_QH~*9*@;bKg6BD4Eg&NnxJt05f7-tkG6+t{@jl(}`yh1>BOIZ25 zNHmlQMY>g4TmxgaFyhemBp|-e{Gz!q7M|_tH2;&11<7^$lDsdmuo%lXI2wX-cOf&c z14H8B&mNo2`GF{ui|=i)L43FVL5H62W*%_vO_%8yPaN7W>_}XSkA*h6@s@R&IFPrg z7+Y_QgN`Mo7#mJ>-`@A|{re*s#P=Yrnmd^-+HGeX4dmPkJy=%h0F) zMsq(R<~|Na&8zUyluA|s?U5F||6C++LB0V+zn%N2*Ps!(@|Wkc5Bv-WG07|Ng+E;~ znSZxkAxdn-T$#roqLgAbU-y_Gk=nP7rVeiyWpN%)L%$avrx~(V9$#p-E0}*Rh4#9p z#=R;9=3wMKeh};K0(GsWXUWY`&Ptkw_(}@8&&v?B`R)3G*O#w5Kc2XNr>6Ps$yj4- zqf6z1=A1WBy{0y%-m?YiN4W`<#s07!p3cJ(;tR+5XZ5j*C?}it-i8h38{NjEvt>|@ z{=00%g^x{u@~S4;8ozzPB>F_t$5db7<}-GqpYj0_ros^A9Ul;Q$m!txHw-S@bWI#$ zh=k~b*c*E2@1(Oa@mkd18@BtL+El|O!Noi7(etm4koE8WQ|34V5G|s69#JZcy>@pN zo8mKrBXoUAp6d3Pj^7%AKBG5w#&maN2YDc@kZkfN@&+g7Nw4T?hJ#xVonfOn>cd;5 z8cA^IV0}+WXIkQ%z*Y9vd%bOMuuZw*Vu|K;xNjWy*y4Uf+`EPQTyReS&Y#A)rZ_JT z=P==X54<;y_Yv`)3!b0Gb9s2)1K%U!^J#qUf#0Y9JE!NaBnzHShWi44$9zX(pu%m! zVWTAqGPgUXe90qW?w@6VqIfj0la4Nl{fvgc)Xlr%CEnoN%U|<)wg77_kc~Zo`eT3n z5l=HU5_Iy2ewH1Jg`4W$s;My{@bOV~8kaTd$yBM`aZ!neMOmSnqMR|1(wF4+2IayY!jU$^51tIMr8yV` zLXp&%`;jvAyEUTePebpZV}o1$QqE5Bi=fEf9&sXHeUx*|j|hk0=czd=_hO-H`c`IT zb3Bw<-C4ZYgx<$l)&J_%Qej}r{7LTL2#`H+j3Vgp1XISfTf0^^5Y1S{mo#Vvl_N2Z z#p9k(Q{)xqgZQa>-|o81r5b~%?Z-O5WLsFHsY?|_+}TrHzy7rCq5hyUJAd#EWe`5` zd{dCj1uSOkGKiKm;L#}U**hKX@KlJ$H0zZG3`;R4x5r09ifdtU#n)IU^${5sr1OLw zC%eQo2N%Tgdog_&U$L8cI4ql)$%3&3|pAmX#E+^X$kQy(W0VV zv@m?Bh^x;0l~Kw<94j2p`Hh8X4N@{0mk{mc*C{=Z(j zmQ(~`g)Y2eDcL^bYN24ep1iI!v%EP_} zU`D*UZ~R&Z-aA_+W(_&P#r3E?%~EgV)9NOyobrat{W6ZOpB>=rbc1!ms0Z?nT2enC zaf86S!Ui`J!@x+u=laJw7l^sl9o|Lj3bzz$XIQ>EL7~)y=Z6p85V3KPKwpV^JSjb2 z;yOIwrx=5XSZWjq4bh_EbR;~X>1vC)>Iou+@sq)*FYXk4HZ4mJ^>>zZ*j%+-;f}#0 z`YaM_Sd+=s42$rFM(+I(OAS}l+kY1MgP9gf(fj7HqdZ>{rN<#GkBahA!K%d<}|T!qD2nc;2%uIdK!7I_89`Bk^&qd z^Wo>_XJty|+?;kDhieauMW4{Vgy}={uVa?`YKafh9 zUp)QC58|TSMx25J0r!pL9$VaxhcS*A(aF;T$HM?}7Km@jfEnbHVe| zcrFjmd*FLSd_IlOJ@ET9eojxFHe%8cih*y`2e+zF{w{c-+27$#1k94Om~%+Pz}lIj z*-H=&&a;^rcIQJu{B*MYb)I-^{~l=vFH>&&=adnE zyx4T_!=L-2!QxPXg@88{tI$JnlLyEvb&qf@BVO7|(%nCZZ~1i1oXqHkCrH;tJdZ|m zi6cU<A~%Jh=&WR?Ya*Gf$eUs<-fpam=ljYiOfKdxR5uhH)IaC_zWNieHTdd2uT&t_hY%u zqWea>H8iyUlTJtc+G^t-t#{gpCvQ<1L-f`euKr6GVLWAz_KQFGd-bEC-hY4B{x`}k zo?EHlH#q}rDQsG4^>$$YW3#c!#0I+R2pvZn3}C76-_FLmG5iVO?G(uOhMU`L9*Lvg zuw2;0k%;y~{cc%(GKzQ^yQ*1*$2wspr zCFu|kfdTHC>1i}~3rkcRn(X^l$3?>J9Q%)3s4pYl z9>VQi6bW&|O3)>14b#VkUq42zfv#HWdSlxy^l&XEP?s3a0ii) z6GUFlnAH5~1Xb016SJOXU=-v2F-+4L0oCj5H0n^VoF;nlQd0mV9wZlDcCmq>{OVxL z(Gh;7{&jjTfO=a$-GZ`7T|szjxoJj5AJlYtuG*hP-|t^Km)6kUZX4L zVjgYMz`c@e9g+kaXyRwkl0$rnO#aIblEyCZvg7tAHaR=EHrP#hCIEQ|Y!01px3+_G zNm&%?-tO>YEr#9npDqMsya+wQj+s}G zSPNeFMoTM(nL&m;^DD1PC79L>rU?>PLG!{x?9Wz|QLjozKvpFP*uu!|Hs#TtY;594 z$ra=k{>r%AZz6(G%E_1R%Xz?;tm2}ccps=$IRCu%SODC5Y>?>l)P*(R+kB{`}Y(Cm=diBv~|e1{?3C ztq}~61uW@jv}}qESoT|~sKl^h>wl_9DvqJPdwS^3jc@Xh+TZ`+7V6Wsb2{FaknBZqC69sGPIm?goDdYl>#8qN=_Ab91Z^J=IE zTwwLp`RVTl1d{BEkCm+9-*VaKsK9V=O-&Z|bdQ1T_=JF?@&edf&1oqaUMn!hjyZp` zFoU;uB_6iXYQyzu#)Fxw@(?UUBwF>;6#{rRQikUdPx-je8)-DZnsPhmNHKN}T6Sj2 zV@|VR9V1%lU9W9{=z*nnudps0-rFL$r=<+WwkQ93S=#{5gc^CAP#By#yQ=Gp&fD%J z=W^H6!SLYA@^mfw&a-iAk{)@CdRsqqc<3YjL32!@S>RRxICA(gHy8#&nO?s`F3KZ4 zwX)_@uSL1P6mntf7fRqH#9F&hg*c+_ds|NeeZh17)QH1cFyb!E{fJ#h+!5`uF~WRw zPTw!a3sr6rBHi$DyLsl_-xFj5=s7rfOw|$|`PL`Tl6Zv2Ya;w$QTxieQ)t}wW z0`>IxjF#%n;I{ZzddVp#m^VsYDEs9E1=GZL35C#pz`k4lsJ8(a$r~KCAVXXWn%KY~ zlt-%cow_T(a1|&vp52;7-aN7Zd(lJmM$m3_#=Y>21Dx?PHkTZ5hb&7&lH^lHaI)y! z6&X55_)ZoX)&ABImQr@Ve@A`b^P`bJgg&5rkAJ(#^M2GDT&ZY3@f7tCMQ_Xr4qk<; zH(pbmMtk+Q6LcvOm^aiFm6tIlM*;W8@63B&qanSf)`Td;5#D(HzE+RCTOSw*g5J^T zf&awg2#HN^&|e!JG4Mxu`)L-1jS3%NZ?{{m9_FJ(Q%DTTY3hc}m2e-M@`~;Qu$VgYK0#xY+pU zFi#>cp`T-P+*w!1tND~H;E(1#l~c?G=L4YZ_}aZ1-no_ZlCz$IlDUQ|0LYL&_{47 z0IGIZ{5c;5Le*i)2m#Gd$W#0k@eK7%Y=r-0Sx}lHz5!*xwvFw7zVV^|d2De%BJSP7 zeJ;2s0OwERTvMEvhjW;4z6ahL$NPwQ&jrs< zVI;hHdBsb|6XgU<%Y0naqaZY5(z^uZtT~(v7I#!iuw5{UYvPT7y3XymOXyvfd@SK~ zGIc0Wge9jIKaB+KpzqTM=$wvu!F5nV7YS6%btGaBLqYWQPd_=7tKzoL)dr?;(2}*v zn*UgY1y>|?OzH;1eQTfh`IVkvQV|=VE#wTdgbQkBKW*TL{Ii&Rltb!fX&m^5xC~2< zZ`(e|H~@KRfhPxrB~%EF>)9a>>g2oiea237PrOM&)Uy->TzAv`dv?OWkWlQ#F3P)n z9V+JZ6^Q_Crmv&JXb#K&@ojF|q7#($_GvynWdQ$L2R@C>YQk`^a!1O4-&#eC@!6YW@`_M4#aI!D6eh& z;eH&34$hONP1{2@iETXPvrC{7B+8yH6$v8EAvW7y5y1Vh(v5;o1-OS&zuWwihny3s zwbp9VaD73mkn^4%cs#t1-qCsxSKCef__GP5)oNhl`uWoT<@=<~(_ac27(%zz zCmpBc2-xFqH|83N1xN0I_Doh%OrFp8%)q1}Y`xBiB@WYv7wOKgWb6?quP0yePMj39 zrhQM%X>f+@^}$J2oyl-(PYQyu_Tk?rQ6K8WxM?Ht#{eK+V6HHFf%2sL z5&YDyk#O@{_j+Sm0Jv}d`RADs1v2T53(wI!=kATG2_++lkH?mA;N8j($HqpIl+pe2 zKsupx^qC0ujzr1NwZH+SJ9}!nJ*hFn*M_dY=XJp8$+oQBKMCMZB6!A&a{Ceoo+XFK zkU!kKk^FmuCQSabR#?1b3m-&kr;b^nd4x(MGyA?ilsx5Pk$P_nsaOeFm$@Bq#5Qa6 z@r8l<>GLuy707G;;`bO2*n^WM)B6fWI~ew$=F;!;gnka%pt(tNi1g7-l5|4*LaN{A zK3B#<=WMLZ9AiARj3lyG`Z_@Cbt3^~4jJgE<#(Oq*M;E)`#ebrSLo~w`R1|@u-QX? zWBP&@B+?ve6Uy>{cuo;RpC>v%NzGp88D|J>l2;q3CDqaIVVCgOPe;Jsy{Pu?GJ$8W zohZ(bqkiTsiZ|mWDgby9(mlb3^z}z5ww_q5(^BDB*^YQwC z)==2EFOv^s5x6&rSE9L1;^@w)$6@fJqtKC|$N@rU^1R;1>4J$rpS+|9nxlvjZ8QJ0 zgoXewjwdL`D6x7fSThOnRfpGN?rzw^bCNIF@A}HY;iv#?%l$DF1RNE=TGBYQ=FHF zbC__x2i_aU`-phY1k z>>Hs?NEEOtlxsyOghTdLb%LfO;zwf}j`Ll-ClIG0JlF9?BnK;6rwXjTYs_ zoIhQzkIh2+u6yA=dcSPo7VPm2=C% zxPZ}9uP&_59D;~5)mpCWLB9q=$r2Cp4HNhfVoVXhwD4=&BY_fxn{GSD$y&ktpua&h ziuT}U=kM|AJO^e~TbSWeaS4oXKex_^LHGS3k-j+YV_4qNj+;jx+QZS$cQTH!s(`D9 z!si0SHInAiG7EkY1vhqAU8{Js(EHi;XLX4RT;7sCtuTrns7@jB=rh#3jJE?uy=!=gdc{#ZP3575oX1W zHq;BJ6`sH_L5OyelAj|b!e}GLrkcs^VV3EQ%&%#EDD{?^$fQ?;fo}KP^7pObnoNG> zg{nxn*eS85mW=K%41>&EXdd!)Jv6}@<;?dpXh^pFQSNh`iZCcN2)m*k33WQ zN->JM3Rj@qMeD3F>M#8>lO+}&a|7EqOgg@v%BXK5UP_?j2|qbgs%~C!ha>YuB?;_m z(8c@BM91D7;+}l6rkT-zE8n82Wb<7>GoElLyWR?Pme?*etDC{-{`!Y@0(VfqQ*TrA z)*IZ}HVf_1u=VTdSOU!fw_!PtGn{e}nlp*E0T~Y8 zuB-q%IGyvMt>Bas+|-zuIP}pIl3N=Eef902#@hGY&9W$f;gTgA3Um≻5O)hjO5D zX+3rF?AUwklD~AIKa@YbVBVe=1a7S`N0Si>+s_C1@7ADRp^4n2nUp9**XZi?i`jr? z^UBzf__Saol5z`w?;P7VdMwJpnj>8t0ngygZ!4g!4V{-Z z+!k_oU+q0EcZLG3BNIV|4v^hI^x*Cx8yKh-e|i_?S2(OG`S^@{Abu!;pi?XiL|$>Z zw<|(z%_Bo}HA$ zHqR_S%SXJR>nTn2Dwh?pD&J>v83}3-qyF^jm*0k1t(V-X&wc^mq&Aq@sP6zl@2uMg zbPch#i$tRN9eUVo`}fN5dR>g-=t9;n62R_k+~f;&V{mnv0m_}+_`L9KPaTWf3?5(Z z;KF(uf4ACE2|{dmZv9n8Rm@K|K-Tq=Dh3Y6?f!&{Vn6Lu-liT2f&sPoVI9P?mpV8? zT}bUIr>F*T$*qB zzC0J2|N0hczPEv!Vvg5!Z>VBnIT|Obs*&f~tln=Q?K4RY-Rv(`TSAsuN!6L)eOV8U zl27?ooX|jEQY~4l2XFIkm5ZMvz%H4t-8t38ff16mwcQ$U1xZ;KOj~h}XU7%R>_U~YTiu{;efeXOdk~D=^i)_z`Ksj!ezG67 zx^ScP=5p;-L5zbz(Ej96C$LR4W@34+4e?~$*%V@4Q1V1ymy!wffNs=}uGv|kJ~~lR zf0i$-^F8V9j|>C0qwObeqWx_ORhMageFQu??a-;w~zD0hSLp(vUbB1;wq~Ptx z{1-Q}0wC+H;J`v(08~pIKh}E`c{xdjpF2{9!Elndkif7U1b*~?drI*PSoov}bN=N+ zeExztN-K2ltNs(5f_(3|Zyfj7;(kQjyM_B)a8CfvpT@bSI4=+9FyVX;yf=>b5%Hc2 zo}b2ZdH>}-{=d>Mp=AmkIe+#FfYB=`J6ytYmXo*4l>3ss;D>Fuj z!uI7Pn!=C&r4ZutglBR~Y_GnI>D}RsYDm2|l6_h;b4@^B& zOa6mF(2xj+2_7Qej(dkhatP|>CA81{eC`19B4Ikdvz6E>yQiI225HzEKf$e{iV7?; zxMhpAHw+WMx$luM>w_&x6~{Awt-*L{^Z#nrlwi?rIZcVw*;uUqH(4#YB+OW|>wu}f z1iLS5f4Isg9y7RO7+5uwkF94rR~sMXVxhd(c+Q0Sz;P-TyW>SASk|AA9-G=!O#Ws5 zl0!u-#&8)=b0x5`tF(dWK9MNgE4NhL*V=hvlUg2GFEoqXk3D}BVz8w!jXk4|h-I-*x#|(qN!^ z6+|)f=9Xocb(vi)Q;R7a5(ZPFj96^DK-1`Gcon8H@N0zea4u$I_pZnH zSt0h|TEyCm2US@4=aCt`z}wh7MlZ0unuZ-}vz4+Q&BnG49xS$n#A4Beub6}baxk9! zN8M&Gy)Z3>H(WB~br^$2{utMOIYyoPlq$daHg-!**F9yn0h2pjv)L{B0Bd^{DR3(_ z2b&+_GJdF8i1AdNGoa(G!Z??To6k=cV=*@d_b1$|u;Tmd+71bIn3ut#MBDjV>|is7 ziu6S@#x?qxzUIVD>>Bn?w|=D()ACfeS-n?_nakux9UiF1hJI>ZJ6V;AU3YxJ`gSk@ z^ZlfhbL(LVrcT5DXOA`u)28Ipboo?|{TQbFzVxOBYkA)xO2pWVt*0r{T%WAPRxb7t z1{Bs|p2s*FDZaH}9#x~%$}Z_SwFG51SYSOezoI!e`CU4!Aiaol5z`w?;P7VdMwJpnj> z8t0ngygZ!4g!4V{-Zy+VI z3U)AYNb2P~ShjS_hKKj^;lM+Z2~ zzrC{9b%ni~X^yE&Hh}pw|6XcR1p?LWSHD7#CqR<)Tu}+?rTf10AL&1XQJt%kQM|7L zJKdkz{|%`?RapIHx*8hHEnJEwO_&y(EPe{5p!cTCD!a`;IZq(GX3>?6c%&X)$CNcx znXq>@cUe=pe)X(&c&8*A8^O1L3EnS9F2ip9`$p$0OpsG_%3DTEAIPLS8p<<6;r6jX zlhj5Zc=hiV*~4XjNLfAI%knf7-ud)8=MnisB&iCg)dO$nN?@B=6AFg@O&@NMKsjI9 z$ma7?;UGcB=0^C`7eu=lV~-5?%Z}K$G_Im|ebWzG+ekkTaJ|pLmOO>{h7opt+Jino zb5j5PImDwO>Q6qLUFmGQ=Q}wfe!?UMjna>2md^}ZL)QSOkC=-%teMEez-~R7e_iW&| zH+hHT0qUWQE+#FABR+whx=VPFD?Gn&yI6!b2D%-p%$8Z>;PZn4y2Vjj;HkD0{j?zm z=JbZ%imU1=ms}RK$e9cwZ8(3z?vrG^_ApC>N)JN2Vlha<( zkMOsJLfcaxwO=X0j^Ev|*wfCC)~@%Ju)q?ijGwCOp*ee3*RH**ffL$?`%Jwzvx6QR z^9o8{Z{Q;vOfyG5iXg2PM^jB#__xb@*zg|`))LA<%K^aKRg|&G9Lm* zEq}_1q5frk;SS$)ZvccW%dIFDq8uBeoaRTw?`?Q=x~miI(X$kKB@aE;h1fLr)NUt~ zQ=Q$|-oG6Jy8#vFs{JlP!a_)Q)DKg5njh4mn{5m40}t*fYcpVaVqd-mON)Zv(gE>+ zycyWP)(B3a-t1AEeEF#|5b*_DGo*-ERl)B{i@=&$Fen-E6JJF+N7Y-UCqIAEg3Fr6 zMC=7sfrjFDTQ;2{=(Lz6TU|B;c3Nm+vDJsR*e}F8)27hf$Xz_t~8e7dl2zpHRg*_O=BHHY?e=YnEdHavUByT54wS=$?G3f{rdQ zC%Cr`b;v_JMYFW4Uot7&tqwU7wWS?GcUq#gcx_ z7WOK1YHU&d>Si+A-7H=;n6+(FoT;>gPxD>+XAx)Sq+((OwO%k()%YG!-wp=bS(60X zpP@ii#BV1!jBN{QWgO=)`U%xl=i^!c+6aQK@?;guz;R^K?r>u zC)OIN0rit5#_IhSQLbjyAY{@WM53+7inmFy0fO7iaVPY^Ax3I|cvcZq{iEi+Lo6UO zuT+Lgz!vBpI@8H#>%bSwqod6?5nq~l%7s7J5h70i?Z1P(J~7FL?o!EipzF$`K$vL< zxo*R)N+p4y8lC#;7xK|?b&>FiaoWQcv-oY-DNA6Fu_Fr?bcKPF_4PA|?|A0@XV5`C zUJetXnY9tr3t{d(8|fAauFsflr4h&P0>hxPsVnl^%xHX7Q_z8y%sd{BGQ@MWDd7HY zt^^V8YoA+slljd7<8y$bj&{xD!xG%YR5Q_k=`Sl~}qu#9N!0^&r3Q3c7DR1j^9-y>5!} zTrKfcP!F1~u_f?^z9r4^E(2UMk&`2H_P+68jFP*2vZP?6MVG>KK{c@5>oa+o6B`P z5A}W9gjkZ_6qtgTgKYNhw8DSBaol5z`w?;P7VdMwJpnj>8t0ngygZ!4g!4V{-ZaTM(xJA``#?l{1zM%KY9nv1L)f4QT$WDXZL zLq01@1cDdkP^40q7ffZ_H5e8I!vNpR5s`&3NU&IVX|WRt%Z;QYoWc>nkU)CwFw+AjrFD&r%fmpBr=}d<^*$t`9@CjGjv4E^t!r>d&?X zG`H2W>pGkk0{{NjvFWeHf+B`90L^vNzMmCl0~?@rRFn4Cw1cIL0^JqV>m;E$UB}UX73xK5 zLMIQxf!y{2-FB8PY!nk7JA~#?J3??IB-s@vBTpZ1dhZ5W4h8$WckCguEc^;LA=>9} zUKROP90A`9$A?Qs5U->B^{}FAG#q3r()^4Hhw-fF`46WgS}V9)hMzd9fm=s$eFGITo{`2%+NxHMwnyN<$>rnX?%{=|FI z&lc^$$u{OV;_P7EviJAa1uY=p7Y=V9Q31a}+KF?cS|G0E?RR0Ib7qEh) zHCt*H_|5lX_Ya3D*lJ}*=Nak4sCAxo)Oll25ZmjgAhrdMvRBUH8g}q8v?BZ)kqdm; zR6AMv#ucXCxAKVTT7xS=_|b)jDBr*pOV-8Z0S1%9bmiv}2X?iHi|~~#;>w*cyn{SC zoI}5sVt!ab>p!-+LeyhDqgR%kjTyj@OMm9$M#TTHBj@2m?~+@}q?VpBi1VwGu`PMg z0aBE2x=OJqLKJz|z^B$lZ{v9|G00I0SrH@~!d#QR>%w3#6syHQ8dE}i5*}8K3e*pf z3yRKtd-gKcZ7#^py>S(Go(VYcbNfSL(J=;g7nD>UN?k4Bge`=4v+v7Z2*)LUsbI-21}0 zV+Cga`NnaNE$&Cey<51?1@{Et{ArwPiu3Yt4inDzzGUnmO%T%7w=BQ=K6<0rg7ul(7jMN+)VJ| zb3!Qar0x@kX-2~M?oozpy-Ms?(R||dZf`izP50*BWwc)&ZsSnA=?3|E`=$vkPS8Vp zYa^Y`8Te+%;v>_gpL84uZb9+<8c61WsPHNR5majq)S~kM+s$T4qsRJ zegWu%KM*>aXhFEpV$hH$@|cQsb*YltLHgHAWbKz(VL*eOCm3<$kekthZzlkb+i3nX z5LE-)vp4$>WaQy(c)u_I0Ur=BtPsWOB2Ph<(7m)KE$}no2(w^ClD!8;gP+ztA!t;< zf>gi(4wp!qiZ|#&DPQJ9bV?vVztN9&-e_>pwcqh{p~Ws5juphnA}+)kvCrp!=>uO1 zr;AVFhU_s94)ba=N%-c~<9dVx?d!=`+~-k0*w;8Kcgman->3}&zsX%osy+1GJQ-J|=7HuoLrl)B z@qSP~dYxctRstkN3MZv9U13F+T$|?_@&*dWK7C6Q2rns#7gf9q2+PLxB|JS&mt90C^}COyXx&re~OPbzIT@WU4^{2_S zhRB241;>xsfr=8A^qDpgp0$5SXe}}UFOR4cDH=xz-nKLOlWPxyfw8WRo*vLJ*sHWN zfO_C9!=9@DJi$HrM6$x47Ai_BTu>0$Xf^VN*iMbNO{tzB zR~L2M<-Hx$OXwSaY4im;l1}=!wWvqqzS|36X@p`wgrlof?+lEWsHz4zX3d#@rPS&5=3tAwml6lX$85oJU|AtFgu zGJfah@%Ucv-=F={BX{oeIo`DvD-;Yi6$VN5^v{qa_1 zzL&Ovnu5^0b=k8}sGsX3A{+$sl-eKEFpu=0sYO+=axiRtD{v~u-2Qt1R@F1(Qc@<}-WzAf?OhY5R;H$gx^y3rykn?Vi2SuLRs+?A~LEpM4%M z{g(Tx7@H%o2byWd?s5mhH%@qL2|ps?-6DK0geQRDPZL~If|o~dm=B9iG%@!e?$g9MO}B4%cH?9$w7Ine?GMHG(oZoLc`*<01Gh!YHT?e3 zU&24#P8k8&m!_X0$}r$+8fGbOOGTw)pAL-0;rrRO0yp^%7m#J})n?mo5A_%4=s*hR z^$y4>3_rESfZW#{jUU`V>&_=*<~1AG%`$E9@{S$c(qw+biGL5D_`RcWD)xo6lDAS^ zhJnD4Gc%c+9R_#y(Onlaj{=)?*%zTLLEzxX160Q-GFqbhC;-PawC zt8SbHr%rwnEhYXQvQ0QzvSQy3d;QKr z`#szpEeS?n8Zt+1M8S&X$x8q5ad^cLS#fxdG5ChL=j#o7 z_@S+LfFIeyear2qakvvH{>Z$Ke=-DQWD}k+P-31y4&C##2i(XbaQ6v@B@;M)bb-88 z-xyr#u5~2gzKfMrb|p39g-OGvSAx`b@Zbn@_rKS!Fu6DC_N#^vFfOe5Fq*Op=sW$? z8rEo#&dO0qMOsT}cBEL6P1U3GN$F9a9?J~lP>EU3+7~W3~+9+VXpRg78ldBKWx^e|M>kU z7!=L3S<{64p|>QX`uvq(xSL?)`UL-dOA6a5_n7=((p>ua;gm3N@~(KR*J=+fV=sRf zN=v{*r|WYO>Z6eSfmvNXLjwXbqJO+uVMA{trz^b}?IBnqjm06E4wbbyE%dbNf~?y8 zD#tS_plr9&e|pmra^C0h?=i#gK~KAlT4j}Br`mJ30DS*?J*`<0_tXwL&Fx+btqcvDHhtNPRp3}tt*-g5l4;f#CZpKjIJ}d3}7c4(bVT$fTiUzGS zh|hUVPz*kdr&ygn zjB`Ula`{=xPVg;mOyEtnB&f=yGO$`XgMYBupZGE-P|tJu*}AR{(GE3PXR*KN#Y9Hx znuroCYxZeu?Q{T+$;VVZhmApgJXY$@UIX~|R+CO}&OS;OTFOL#V+)R~LlHyDRx=*QpU zIiPWZD}|pYNNFIzm5wq8D@g3%34<3z>p1f3YTba-#lyt79iC zeIeng#_W(~0BH8-XdlEJ-VV;HFg+9kuK$AC2EUvH{{X4K<4ySaWWIjy_BjopUN?+v z=(B@o-TzokCmg{}tzpb_$rQF0f5~L(nL~%5FXfvDx?r$utV)`&fW&>z8T*Iy;8D@> z(A+ym{_~9!9$UhXNO-php9|p$Ao$Y+*OcJp5gaCh??Lp&i9RCHb0PB6L@tlWdk}j> zVm?jGJ&5}>aZZz$8;NPH1%qS@B<=6O{;!ff!Rm6sAi7KZvA}!?%woaWOYFgIg`q(T z+Z0s3PP4hZ7yvOPR!srzm~Xx3(VpkcIA5mxsYLRE3G9eJ6m7s_0#};2W^-{)sZZ%^ zNxYvG=6NLSC}A=NpvY2Wz~9&5Jv7pL#oSL2tdftiD|U zeJJ=hsvhNp{e2Ye+zk4Fay<+}@OkESvBJv$=dXL>L$}}O7{J4riV9^DZQ$p1x1cjt zhZjpu{q@+>vhxhXu{ z^(^s~g+3@cq^x9rb^!K7m5@5kaFAiUZ}RO^D7-Jb-87tsd$Me=^m&*=A;?xNxZ_(8 z?7A=3PmlZM<-jQ`HRBJ$mwPNZ@O(4wiu=5tXcW%*8&GxQ?{}ifvPj=oT~Ii7eQ%`) z=FO7d(7l`#2qykC0XAls8!d6Iun_ZOyuEdDl1Sm8`yju$>sAWQAS7Tzx?RW##AlwL z_$}oGCJ73x4>mkO=5o{0-#z+Z@^RZSozV$Goi>wnPS``od~W>xJWnW7n*K}u+6#tr z_Q+7mnZUX4ODF6$9pUd*Ze-M`JMj6_97$<0hN25s%(*6TKJ6GK&!sL`7&U%m6Z|p& zP6_-pyFO$M+n;KlO#JnP^1Jkb1~{*uJ(^S(UF{7%Xn!38<{4~1TijxDBSAq$yAtC- z1Qe*vI(k+|!Ryoj)rbXW7#=Q^dn#@S#Th~w1=a?j%Xr=+jm!@WdM}hx-ZKZo^v{=0 zDEPvytS+lcX+NlXG;@Y(8*|sQwpv`G?cwIz6!o4wGuT$Blk}wZ!QPOa$=QoIFZ<%| zhjq+Ll5C>3@QB46h|9+!qcN9kaBggOyoL`rJTK!J(H{0lqsCDa36FhIQu&T(!>p1h@sb7svq_kE(2c89`Bnyxbw z*vlFu%P$=h0WU6fE2-5xLU<+1>0t?NxO4l}AJ=6+Ncgr;tK1z3?R3gbR&Cfj#Ni~e z=oJQ=GS~8-`WQodq}t`G7)Q{_)7|?PEWl^zBFEttZ_GtFFMJns7D-NGTkCUp9z-A4 zM9=R6d*^-{xA3~d(i@vxn&-H`uT1F1TaF5%g=+u##tDxt;YTFA zTZGSr@B|S2X@YA?@bU-_6T$Z&dgDYNk?6S)`Dr4TN8~+-Jt8rmCgvW*eVRC@E21K< zy}{ob^zG@fLhNHA6TO!reFyj2Zjx7A!uQ>mU!*lq+;|M@~w7tZ-g zWg1+=uf!1I?Y8&HH14Bc^GyG=BNBGVt^7TO`%k|c|5Z@Q#ekXCR{dO80L&a<>5jmB zrr6UBA6oZ218=;FM^UB?P-^RSe5din+=+aRdV9Q|P%C?~cf}f1`K})3@^ZjEv)3_) z)IIS%yQjJPrz+e?xm)uM=j`>TZRP_1xWm|w;Img+6+pD^!mR>4zrOdehIS>$7D}rx ziGSG>3|xO022Y;90EgI%f=ldOpp-_sz4(v=43OX9%QLkBDW==8pTGqUbTsW|<#PhJ z9j8DVbJf0QEeDMx zIQ-mt)HD+FX4`1*r8zr-_%q($tjorrD$BT9)@KW!#V>Nw=LEp^MCHLeo&dPHb1>m; zC4P>c9`%js)&tL9ub01`WPzjQkv{S}+(FWM5UepDJZmd#a(;&;_-onTu7BwXv*!i1 z6Mlq3DjnSpa@-5fQ_ZO`#{9WM(T#@3qjB#yiYEW{YzQn+(?*58ZTeFP$&Z z&YT19nYVOn<4X;~Vd#Bj`qZId;C^X>`6b?8V4d>iCwfwMeZs6RZlLFZLrYkD-vliz>lFv*iT)z3g z-eyOf`WHu7`I=}MF0KcY(~J&h9vH%g;g7TDc&)(N$!B7BxE4sB^~^OXbpPy;sgFLkU>RfY!0;GzH5NXXD2zEkQr<1z$JW@>Jgz%T zGw%r@A4`gY80;WckE4C`t|#uXHvCx@_kgZclK9>IL71cdfLp535v)w<^K6+tq41fz z+Tm{s4O^g;=$1%Xst#WXHH{|i1}36wJ~*AruVUAn{kFW zQeS1rhYhi3c7Jqgohg*gd+G>rS-`+chGB67eMsl?kmDOMhvaij!W~*lFjejL4XIec zehSVa#wrP5?EY3a6r_eAy!k?!D8N2ui6%Omn0#2%5DPZM(w;yz8B({KI8qC8i_!0TUELz+_< zgbvQ$737bCae2k^-llA{`&{+)e}UK|wU*F>6ugS_RZ;a<$`Ns;q zoI5dZS~c2&tsUpZ(~WmauEm15cyYSu*+39Vj9E>P$K0_f}&Rhx(-mZFgMA{0*_8ZC_y^VY6XI-jFPvd-ul^pL&mCR>SY~fgkPMNlQ1jK$Ill^uh20D)HvZI<4M{lLvWJ8|Y1FzU84q^pn!iTwo1!y@uG%- z!%@(M_fF&zll1Ebz$192l9u5-)Lamt7?H7od|Zs|(h39nqShNy`1jMDRWpJ7XCRzR zK1{Y29gP3KKl9C=#GiMHlcQB?0BrP0io84M4=KO5FAY`%!|YCVM^VfTt3JGklGPy? zc0{FoI}&jg#vFBK%jZZCN1pZZb7BA#EwIY>;60nBQwdr7$sic^UCK9_#C(@08L~lp zgJ4G``><_rDAX_C64v_>0VWkmZ2^MV=SkJ`F(@DNz=TibZgF_S%7G=3ki&*>@CL2T z4@E;rC4YRd?YkX3EV$uLC1($wGS5=Uf4ajKds?QEfi~{(#{9m!1Lrp=qbgf9Y{B6! z+l9K5?l4@^YGa@738+G2MTk-tG+1Aerce8_y#cx+c;}Fb`qPFUz3F6niOvbAPBCkl8cOUG1?2rv5pZQ_`5r{_z}BOdRGx zHn;t#()R+#?x#Wwwc)@ceP+DlKokslEqpD+{U3c-HccA7^YFuUdgf%34x~wk)zSK5 zUvx*6g=n$?IJul(vueP7^j}3UPQ{Rb`QdxPTZxX4U)e2i`MM1xRy}`MYK8loZcNi# zG@d}scVn}V#WTB$CxaonPBi_gmJ0+{hx{u&g}syA zX9mRzTwtTI`Co-Q?h|f1-xqx04exZjS!3{C#fRRRd*q@U+$U3=VR!R^!OpLw5zHqL z4PQ;f9A-G%HO?}+2lr>BFPu}j9u7Tjn|4*l?P0v3PW;KB8oc62rM#Ny2YeFz_sB2e z`P)hTnWvbOU7M$JC(|$tGAM8}_`W_of6Sv(GhhdHRv#Zul$k;r`xE4m>IFQng@u%3 zy4Fu0-enqvL_p^@T?_U*Xz0)xU`2!J5)G=@%PWx)9YGb+rvF8 zFRudo)TN$1J{$&y6cc&lm^VuJ#tDxt;YTFATZGSr@B|S2X@YA?@bU-_6T$Z&dgDYN zk?6S)`Dr4TN8~+-Jt8rmCgvW*eVRC@YhFw%&O1fGhfpb+znCj6_>}*fnprN|5an_& zR>i!r%cc&|n9u3+TsdP(66YTD^M0*$Sb=I!Q@9S7Es)j5-7~{{x^!_S20qNssSOSs zHv$u|Ae%cFzCQr0N;1zZ5BOj&bbj=ApAcXZHLU$Ri~aAHQ{qnuM1yyiQU7XhBm}vC zDxyg9!~L8Ey&X7*6n8pO$g=};<~q+fe#U#JwA=U1r}q1UsT9wbcdxM@ZtD0=2YYAu zE<^c7tk?*~(!w4A{{DDJTJmPOiGoAXj9U1$vtX*c9IuA&oAwO{t?gMvL8`Cf{^Fo3 zT-OaTeM^RWx6Nyuk1mJf9BGlE*2j2=culEJ&*}y}*VlPz1e~BKqNrz1zyVGT{OB(g zcLIm)U3Z%0F$d6N=PLzG50F{cjwM~ShtsTAVhgd))N(aB_ZEi-xUG;4mL zy+J%2`*z}j*atC)><`@`x#9w@6_hmRTAVP)D)gb{R|~McStyadWCurd9n}8fyn$!I z;qw80!5}imR)c_?3U>J3CV9DQZ58)>A8qgs-o-uA{Jh~Jstd5oR$=l;Y&0Zn%2HRSMM9EvBp;7W z6!<1^9(3jpg{a+*);v71u=5tv<9$ye;l`!$5)Ziupynt>hX1^AcuQ2+jwi_lgr z)&8YF98AOi?K^_~GMA+nmpFyYplmJ9`v`uXYWIrPSdFhK)SQu?I&q5^#P4O*xt+B~ z?0?UeZMr+bxEFby*)wI-&7b>GJXRC_{(SaV?6nL?ORc*pJU$9~SEnO{zZrq^v)wKq zwlT-!omQCqAs+}iuAZkr!u-_T8^6Att`F)~~u z8qed<#W5dh8&89%QnoG3Rt-VqVWoedzY$`Xb>%ts*BS+Fl@A}5)FLr#tDxt;YTFATZGSr@B|S2X@YA?@bU-_6T$Z&dgDYNk?6S)`Dr4T zN8~+-Jt8rmCgvW*eVRC@yx2-xUdZK$E=2 zakrSeNW^;RgZ{s(sB_nF&9L|#l(hXxq4#PCx^jGmm&Py(ZR=hmkI5@VsgLEjJx6b$ z>YZU>Vm6t`k+#@aIX)2uv1IUG{dgPQqNA3#SGk1rYMJ+hXXhY)D3-WDmW^aaxqWRj zd?D}p(m2zde6&{kW_GMR4LONPwaH~9ps+wiZprr~WKY3)`33Xgb--;TR$uz73*A9ce=MUdZ|9(+>Rd^~qynUq)Ys(sumJI*M@b={bx_4n zFZGAFcTn{AI+=&;d5Ec>-r!MCHri05>iB*j85v9UNSye38Er26^J=}ggoKT~^gSUA z9kKB-y`gN|$&7<}dBLe)z_9oYSA#TvdF3 z6}{bv)8}OL}Sxp>PYHyv$_tUG^W zNk=d~>b?B_CZdiD{Vr@4k3KK`)2ndLMz4$)Ydekdk(95C=*4Ts;3shKq`_JoO6IE$ zeOX?JBpJxw!$v0h`kYIMrSS&(SgRVNdZrK+?5k>AK3;+{vsuus*FrlDw(o5*I6xyI8JtHcJv>kO-s6 zrcXmZ_P)>a$iI#}bQelQ&GV5kGi{_(MK-FZ(LP1>Jqty*8VA)f89n zBl7hE-=A#tsCkutvZ}5EHUEj4t_!b1%Zo>Jg^m@Vdk1F%C7dEqUa63#zIFuSKExZq zWgUy2FEetc312|RSxngknbQ&B8z(%rgddUcZV^5g!V^I7rwOhp!OJ5!Oa$M9=#3M7 zM555>V7c}k1Wbzx?z&z<{+So(ZhW|oHqTG^ zU97l-^3)?I?`Wr>@U`gUd%coT)n^v&>s&!_D)>12KvV`Q?r3bBDU1WJr^|kUn=VLL zy4^?mc{-}Cp-%EjOhnS10*a5~E+X!szxfKY1;|K#yJ@+)07V$;rGDr;faPKR}Q!$5Y;%umWsJcTXb#1 z79z0ZL7k)iOAozR*zhUP5JPia!c=q#x@e@Faf{=*Is%jZ4(E0#frJ?MHD@s+|6O0w(FNk`D8N!*pBq5}I9mv&LUQ$nKW&!;Yjn1Yez5c`)4zHnzrf78!F z74>Q^jx;H=!hYxSJDd+Cpx?A-s_60JX zL0o>2;aot;Fk^^#3uaCQwF)3TZ+&amqfD?oxKOO+@|o zp>ao10El}TWZmMkhWO6KOp0&D*fS)_*m#lz6g3&DhQ^K%-^a<=$YzPXkHNOXG9=i= zpl-2yz!qMJ2|Q-B3WjRYJ!b#&$}CbvE8L^hLh|jgy?z%I!7tG)AU@X^CZ71Xykf_G z6hABD5pG+^vT|TLoPu+LB;^OXh#!oibolk+Y(d!~YpiO+2{L(D&q>{|h9|Lf3ICGa z;l_ZIw0ox~JZQ6Fc)p?sYelJntf`t{W?mCVqh<@S@rPp!FsG>{ZM4y2H|FGBz3thu zsfp+QX*(TnSiqBWr^%0)7{TA60f}c)n0F9A@tCpC4gReQc{zs}BJawgpLYgMqtL|h z^`lNWr%l63){zhB-NAFRM`dW>6muI7Z=x!Ee$_MVhkc-l2`)+TsY1xi<)g^`NkcIC zQu%ji#Q>_V9%$=Rwt*3Qnt*vP8=!FENjjS1i1#f2oVWTz(X1(aNORzg{GWg4`@wzJWPG5f zv(;376X*H-yLNuVx&1eZeDWbim{0h|obn~+?!Gj!vh>6K5ATPSTa{WNFn`ItsW(9v z?i>=l*^(k}LM~X@r9WC{r?68o|e(s}r=} zIiZQ8KI7hH4d{jQvTr4Vfn%0WyrU-w=ynu*?l<=V4GKox@;nca3=;j~X&nUX_qtuk zW$|8lW6vCR>%q^wF8kU+chKLy#V=}e9zKhV3WaHhz|&vD$ts6%4{hw934@?7v`ZZJ zA#1=q@WG(yYrp;f^NkZ8Tf&b>c((|j3*iYM_|pW}l;GtN943PALG;FnJ|fX`A@b8i zE|1825PL*oK26L$i2F2gPKUIZsm_MryN-Z~zjqf}%fS+aYI!I{(YCR77VAgg5R%r=VZU({=xG- z#y!p6pvI&bT!!!6bJy-0ceL1o{fM;D^hfMJs_$AU$g+X8qqbCCD_+okcae{|+XeR6 z6??LL^oJv#?a$p@a{>mQx?kf;e$X>~2+0dOft9fJw~2Xw$eg>~eq_lCu6=sO?U-!_ z7sloFA7C!?VfXI_dYJ}5E}$7ddcX%xG2Y10@9=`Ff2{@13b}()qRn&QxCp)}gY&yE z&v&Af?setp!J_Uo6V_`+zigc2A3&2MoV6 zvwyyA4C&&_wc~Ie20J!SrHcIN^&rNTy&w?%qxJ1_d z=#69HQd{d0^IhS<7;I*|@&|j05+nYx8~8y|9MZM!i~#Q&^RXnpA0DbhWH^SYvxv{Kb-xVJUz;@msu3oY^AmidP~03CO!Jk^E0 z#AShrV|RVQ?GU-N*+1NWDF{eBi_iTpiDAw6HGQGc=t*$MoHHb5WHDV5@Pm#&I);~nMZv@RU}FOI#k6R5e>th`2=b8+ zM4PI7VZcVzI$NkH;m z=?F~5`4IW_>xzk9FdEXB+a*te@7W>yi{ClIOs^NK)}lL<%>I%+o`rKRmGQRu+TNfW zr=M~N?@{Dy2HuwhIfElJle0^TBz&ezCq3z9MKOFgdbIzUL(})lR8dAdwENGkrx;+4 z=H3QN4cV9@RvT(6cDy&|x9T8Qtj4(;%O>N;yIkO;N^a8$URLle=REpQod=a&cy{DR zsv2adDjNx^W3R;NcMn+(p9hVA%ZFJ%Yl33?Lc!pK5Ad|0_b)#i!g%^%`8J&{(%hlM zEpSpB`TM51Hm{vQ)@pQ=@=xR;`EJ4zGcrdB4exyfG8EyjwB=~UE-O@hd*67|FB^1@ zx=i%_-FwUH{cu&aL&GF z{hx1~@YoW5M8dm8_*@820KuOoxTXXzkKiy7d=H{GPV^Cpo(qwmCUSX1-hK+ z8~V^*R^=GJw;j;0cl8W~=BAemgP5m$u_fN0=2#$%uIw5RV#J<=X^)xC5Puj_WVL9* zbI!t^%i0s%p>WEYZ7Q|S1NzwL4|F_q!u$SbaiSFt@K|Y~n~LNEUdhI+JD44SPBZg- zGPe(?ye5O%X&ad0X__~3Bmo*#zao%q0q;DYF7Lv7<@a(~!<@N(aA{z;&|#lGs2Y}O zuxnv%!`a&(oeVM8Ozl?lkewUU|2Ra!ekBH8o>pW0V}to&Mx{=SjlMvgEMdfj?;Adc z9{v)&Pl6i{65En`NT8L`r@)}^2NNa1Kb~L?c)t9xGwm+eH}&`p$z9zC>LNHjxg27E z@*Q=Q;3v%gsLn9DH+U9S>bK&rySU(c)fVc%;s9~>WC_dW>hK}asO59K4@7hYiyTRh z1fQ_&6Mu2u@_41MN-^qLDNb3o6&c197 zHFoee_kqJJy#Qz}t=tNwcZS~s!cL~XfpD~@L@|y!0`4VS7HLyq4@HfVd*@DHxbglx z*UGRTWa~Prra9PQKXO|4)j2;m0x$Y$4*Kqa#r0U%#2y=MSNA z9kx$X@wx2T9He%@4?3@nI`-h_MQKy~HJOl{j9`)Ld}8w# zc|_(xOFKq^y+3Ux*KXdEgU?PH)a|cy;Yqr_Rv7l$-e=<}*ih?jp3xI9<_r^nyl~TxxLR+3=Ybk^w53ki`(AAo$YKsp zgr-H7WkkT8?COP!`@LX<^h~}@#u8o{cgFVOoXXGUQXO&Jzu}Be=8V1W4$sogo!xia z4L)?ID)8{wz)2%B`=9m7D5Bdt_bT4oS&R0YgyEj1Si~>y|IN8+-u3*@G53Ha9-&{` zXWc+!c?RuM(FbbDKMwY7_<1nizx!{vIx2p}_&oEJ8(g^Y?;qz3&O5S%pHF-306E11 zaH`Z1YJ64{A|vhKeom!`;))Y&CtdDn>UM`S_XloV!T!6|>f7&(gpMI`l~04}Y?u%3 z{v#{IL>B#c;$rC~uYwfxs**LPHNjYEx4I&gGg1vZDLeSZ7p3|vTJz=Dp#Y}PzLi&I z5T$X1V*~eALuOt)X!XN}#xMTZ;Fc)p@Q2tJ*`9~+_x;LK zjHf{S)yar`Op?%~_s@G{8t;)xWR4kYXu?xThxzLLmMDT%B`d$i6fNy(4q<0Jk7#bc zn-d;BjP{Mzhf~Tqq556FJDS_1knHSK+bsh}bcp-oz#C0_w9L`(zj})bD*nt#wDQ=4 z@JZ8)HSE^-{d8b(E!rLK4fS=od3#|mrg6bZ7e`opkyrDs+Y-7x`1ag+=L&>xobcEZ zeni5%Mfh9@PXNK6Cb*^qFOT3b5quA#H%{~siJl9QpC)p7MBangBNFpzV(vlQr-^e~ zZqDQ9f~z0oG8a2rWO{?y%JU=XB7Q(!yZg>NDRs9RP_5iE$JM zLA~#5y;>!Fl`T-|ru{$aq3^uS$fk4`bhUf^ce!(nbKpCFLb5 zaFIZK@67cxPaJ{iZb_$(s0J(teJIxB@&IvFJBR%Ye(+{;NI8qq8C=g~R(1~t!p_yu z5jV`g$dxC{4o|^7!z*j3!Yl$Tm*c*8E8zE=@0I^(y0EV&L3e8}l@F-%(6Gta*ut7t zjsy+02Q*kZ-l^@h2brMMPQF9tFjG<%=vIxr-}{u8Rw;eKJ!Uu6(-F)8l{2`cdKTv# zevr{J;yDX*$tPhgbthm{)b9THITB^nI4Tm`OmbTWN^z7N%j&VJ*+r;G&O@SJ(r1(Y*AGjvPP+%kJ0U3-3f==OktR0PSec&eEzq~l3KHiFRJ`@cfb_IB1&d@G{gM9dV z%6$30Ip!{}C>rPO^KyYC$9FF-T43M7pZNWxFh>aOrZ?nqG=Zy7M3AG0-7kZC6T zx+;d~n#c46a6eqALrh&y-VUrL;`ETIEBq=xEcPbK4eDN+{#DMv^N6le?%~I}aQ|!O zjzQdGbdwJ|bajUYKF8+SB~7t+$G&@i>x2y)H>`@h_Qo9YqRT}tj95Tsucv#Qt~KmV zosRA%;qODBx6VHYSD>+;>x>+Bg!7_z9$5iW6M7k5d3#fQe`xM_1_)L`a6*kgn)MXYCtt7;;uIQqiF;q0K2I@xjD)d9(V zE0N*0)j>WgVmmTj?UC=7vR`^%t@( zG;?JsyS_J+BL-EMb+ z%iQWl5AgF!O8&fl0KT`f*VWL9SH(cx{J#5vLE+Gx`}iIeof)*zZTsz+b_e;H*ijuT zCrEgxo@l|ug$}ZJ>Hh5q1j%{WQ!5k;sy{|LPTdNDhKh)JYy5saeQ+mPBkq~LbG-W6 z%SQu@EtI~L4fw!E?TGn>6@QTZdg9JGPgh_|SlVl?6AC_~qbv8u>|w)cR-!S%4>D7Z zEnoUOOM7^Q!q~_*TYQ@=YmTjcG`ZUb_9NT z)?eq8EPz_^OpW3F|+Q9gLTXS}pDO8QP&=@41Ml@+ceyP>gkjk2slkr{&@|xHeZQpBSZ}Uwf zIYkZNG`Jxu%qWfyDYYwD7OSI<^WH;`CGh)S3oo>v3x>Wo9Q^@#__^I}wxEfO-CUz;`OL@iRWhzX-NCv6i_2%hC0NpFQxLLRF&2q|*a9i{r0J;a)9ch-Ck98h6Z7 zDV3tgGX%8=<*ZI?XV~jV9&m=y0Ge4f8p__vqIti)zef#xAoqdqDQQPrJQwV_p^5p_ z1#;cq#*~;NcSiKg%TynT>^XfdnGff?DXc0FS6G8uThNcM2tQ}|!bYV1JfVNPm{Tvo z0VYp`kTxegAYku1$z0q|T;RHDESTjElkq~+A$2;=%U7=32IkxzZ~enO!W&mjayE`&Zi{J*1-+CfXzs|b zbX9T#k&34l-!?@MRM{MRX@EIU9~M@dK@&0M1y^qg>7XjPs8!__85lIWue-nA6IE#| zhPZqVL>9)ow|C-<)DqZ1y_>wop}A&?2Yv|ry1{i5n)3k%jq0={Vz>U}QAvQI+k zahp9-*Gio%9X<*^D*JdXG_jX5XvTtm)f~3Y7^Zk>;QY@!xu?!A9D#T7^iIYv`oPmK zEx5496a+)7hXpUWKyMD^V#RY`D3TozU%ZI>LjUI*Cp@-7r-@u1k@q0>h{SxFn0pZSY2uvzdU@L9&<5@|H@|PIq4a_~ zkE#>)UBe!_!F;M7FU(K)-J7*Y6AXFld^(z0!LXP7bk|-QZ{QD?<1hK-2evz!p3aQ9 zg7n{BkssLWN4+82Pl>$&!fBG}Ued16*>{EU+G*_RibA0;vW;f$-4Ll&zzU1e6=DW7p`hPsESX zPzmSucarB;yI?PC(Gp4INU?TKL26laKXWvVGu&4a87HS-`A_u|Hq27~B| z?(69C8E_fEX_gXypQm2H;B(RThra`4CMA@-3Bw-3FnXpB_}-mTx_Vy!E#5!vHKpji zM9!MTCRCF`vM62u4;q;1(P{%GxN53J621ky17Nv`!C0aF>>mI6z zIjow$1@{EDzg=C+@5H<@RoNVdoo+C>6fO1ovI9Jr*(J_W=?v<{Xe(6@=Y#Jw@{NqS zz!Z~vT>5$JQ^;5SAXHR`YVewsi-DD;HvxvBA zS(5|UcfUPR!ea!R$|@;+nOexy>%Mhwfi2W7KME&>n*h5t+e!X58?ZU>y5Z4TTL^hM z6+ky^25Hk@QfLn7KsC(;zfpD@Q1iRpmS>=Wes1Z0vb<*pijfunoZlLNlIJ?VqnIh& zlqw2$J7o$Rc55wz9u$@bx8Sp?Kv$`8)5fqOG&nR%`)I`E|-$YaJCNrXN-DRavbaSQHa z(Z+k>>qZpG_B0T1a8Ce5r_B z3BBoX6%;f-g4%-RQZ&CgAUXjG9zP|0ZRta=<_o~x+LXMi@;Nmq{+_P zi07=fA0{c!RJp+7k+uiSgAQ#! z+u!*~5cpzNqs`PCZpwZ1*maxqpKqM-*b;t3!n;NITnJA9!Jj6$rUWmK;4l$<5280t z^bv`k3z45Da(P7FgV-Yy^J!x4LENW_bNbB$2V2q$4+!t&Flk`HdwJ^;!|gyPP@EfV zsK7suZSm_Z-tWGkp76;*ZJ!(b-PmvQ3VR9FZfvT(UvdU!_Jd~p7yaRUw5f=FE(tWd z#ZRByi_h!B6jTP>9>DFySeb$6A|(eaIesSkK(ai?qXu3(I2+~4I_~TX%X@WBKB>n% zHG`pK4O?H>|<5@leqoB z3&1|1fmhW9q(V2=mm*`}ikDDT%326GbjIF``+z;OlNojtckv$GggUGc^8we$60PrH zzRt74G;cbbgLq`DQzrb?9*!oZC%?e`V#=;$seKJ3IL^da;%Ou)Gn`clQL<0v`%Zd>#%-dU~ygYCt#Fj(nkbKM*MK8hl3<4ZZoZEHNXP$GmoK z#6%wNjmSqL$e100+&On%HAVs6+J=68G~)vhA8~pJ&zWwd{d?+A>3^Dcg0 z{%Ti$xZf9^ovEDqg7-2)p;HP^DjlHOwU(Vy8_zkX62wz7{h`6@!(u`^&I^=yxkVlI zg@<2XO6cOxL!gsM{8J+Ck8ZbA2N}j-{%dg3^Xs_3R>5j6)*S*fahYpw;yxfG#;Tpb zk9j}fIrzw184~`u@8@};hdr;0A3AV<@Kj6av4->J@TJ&c;KS%K*c?`iez|Q2nLb(y^VUXT&chYL3gjT(S$>#m1iTsh&GwuG^4J3ssmHQn)K&=>mOyqFyN5&%lR z8^$*H^Lq0!zK!$)-;;&b-><&%g+e#EiqlL!;Bs)9qYURa+*fCG*MEA#Mt|3~ezYf) z9O>6@e&7IVBgNP1@V-2RH{^T}oe_{#8{VLC$NPahJB#Q8^}$j?=V)wzFpA_m@qK>9 z6CPb&x?5_8`O}qG5*#YA@AsTYsP$`Sm@CmfGVhMLPpxf=r&v9}kYzXZ3A|T5LF(9h z_AftLpiT&B>G1$7$ND`p*smp^6?md zDlyIljCIqdG}!=A&0IX?-0TW*zpHBoagKY6x!^fft|30p)nK>Z}96#Gr%JzB?KWA3WQ6ZO5+ z_P|E@QQP$c8`7omvd=0|LVtyhbBw;&1!QU6MZI%sP`+zC<>6jtcryA~(D{)9{B1Jo zl~?ruetIs?THdqpc8Xd+z}6gH&d+vI@iswwq>$YAXl=yzL8*Wxoe8)irX1Q%ALzJ( z`3o&SE%q2^dHv@bCp@-7r-@u1 zk@q0>h{SxFn0pZSY2uvrsBAL$N$C%$_SV*Fh#ibf^ZPW}2f>WunG;-?3&%USqxKA* zm*iX_KkxweUQUv(aOR!HoQz*VyH_=%;FiMvP?ZJ?2pF$cz?(M^Ti&msCGP-p22*Y9_Fiy_ zR^PfB^BKGb8fMsPFdv`CL#|fA77kRnMnntSK!wc@DF#kEh|jdQc-LeP3J1L%t)`9P z(_X>RcUG3Lqb52iFv1l3+Ued5iF$z)#Rg44w$NlKekyfR&q>?K$SIu_bkN(&4^yO|Ry|GMxL0WBBOS(r*B{>=Q|d zhZEQx$!nFK;XVE5o_-NZBRFsHW31({BK*Ie&O4s!_y7N7mC7hl5=vGHS!F-XkiBJd z?Csclk0P^(G9o*ql$lp0%F1{nBrBUzsf^@z{cgAK>+^qq>746a*Yo*!-0wpT{v1{3 z36OcwKcEotGj16vcP1eI9Mi&c?}Go(J(n{5`ad5#$gFPtN4#SVSxe+QhqbK1QD8x; z#K8grF9zOcK)vQ}u@UL-bC&S$&auN@^a^l=jeH?USQ$)~L%SvxZJ=Yp!?)$W5wIpZ zWxqB>92Bk5jtLgT)n5@)712SQ+qoK&sY~{7r>{r2)XWzADfls)f3{GsR5(;6Y7U8i zKIE?VpkCo;x09IzVpw|)rGcp}D|R`C^G|=MFq}N)dDEy%2pY({NRFH|z&P)E2K6ET zfJiKA5w%>xXsVsn|GwqMI)B)X9d3}owqpl_dB|n3PJ;@QEbeP4=N{E#kYWWXKBEE0 zWfA}AHl36j;+|i78IZD#cnNt6!^vFDXigBTQTo2v5ULEc9`VLn!F;FkF;_G{FwALM zb&fLt_VvNMhldcSRN!8tjJz2L%|>URX_p4R&b9P!D9=*1l;OsT_^j547KjWzia}ITB5#Eh$~(t zz}oPFR}=GN;;ndNU8!M z;@=6LeIHRChGqKzr=>b}w0Ko|=87>~*C>*H&94Nm`~~@SEb5?R8Jc_e6!Lo>^&PN9 z_x5bncb~81vZ<~Nybj~WM7X+ZA4+HQ`ON7Ncnm=dro^E(+%Qa7+;3)%3F$r#3*`j<)H8AG1w z+rvAOI?WPW zSeG?+n^UkLdPN6gQ+jjv{*o!?)XBr~tw9^ppyM7pa*G>ElRX??AG3hIv;(VWa?$sC zB0#ov%@lYUZw1}*w}R~~%W|gQ#_(!meOE-(3hJh>mAfKNNzijYy>n=uuFR=j^Ax=g z4|n}~Cy9RFrOHD)A`Un}M^o+>HyhLc`NnaNE$&Cey<51?1@{Et{ArwPiu3Yt4inDz zzbH796KnYE^ABmi|(Vq{~N zJ6x~3E-YO#WliDs zRm34`Or8vSY7WzBvnSh7pSw}wO5`J5N5l=)EweF{hu}NM7Kd+mVQh!P4Avw60edhhSExQ#9T@jV)!rQ>p|CL7f(`WB zdo6>EeX!R_?b##Ip4iDyg``AhN9@TO=i}H33#^8#R);es4AcAjv}ClKfSqC5>z8~L zh}Enxd`kZ5gH0IhOilqMgk1<1l0Z3KmB~*h6etnT)^`J==0&~|wwl*94-rq;;BP#K zvJYHP?dUipNQA7~r-=+Y=zCGsX4xbX1+4oFUjJX zSz`bc2o3Anu%qwe|M|vok1g&;#JyX%&jt4c;QVQvYl`#oa1ImB_rQDOcpnk(x#0O} zJeP;(J@7puKA*g2VILrlIL$C!Tj>; zkL^<-z<*DOMz$dy%I;9Dsj~%w^RsfHe~1GgO7&FoKP6WPwQ#9B|I`r<&eGPc#3L^S zjc0U@nJXM1qZ?k0_XL0MTCWeCGS&K3bAH>}<8IyZtZ3hp1%T7GwRfI1$U%aoO^akzz zLs#5fh_Kx^;oVu~019UZY#G>s(BECE$r|MY6MXmdEKB@=pknZS>}VwP*_U|oo%IFH zS9iYfq!3~2C;jG)2_Fy_S~%$8=ZLZvhUY(z5@C?>yvD>CZ#bE z$88{cEzolW?YGM3er5k6qjcp&>~f(Pgc?dg1_N1pfG>$-U;r+v4U zzmqc91NI>Ca69t3O1{FMuH(l8G zH;s5;q6gL0;2TS;4q6}o&8L2I2U7Q2Uq7F`4v89yG4nDi*g^AH%!ykXGhW&-v#epm zteWzZ-_=}$#qy%6(n2%r3BfDhznu{qu67U>^fblv!d=Z;Zx~}2gj$?9P| zq)GIL?nxEmn63}>P0QJ3g@(Y{Y`Q7Wb(5URv9FOk99&dSl-#Gch)RR~H)#Avfq$;+R-(Uy_ zu2YbSv!PzV=`y-?Ic@mQ)^Jr6@qV2B#Tg!vctFIB5m@0;fztO2@6Ax2CDrQ3q@tu9 zRPfa~ss2QqI{lL>3llMrn?f^kXT%-;(7h^BKkW=!F8>ZOtJ%Y73GCcQm$SgEuGSPA z#I+IU+F6ls1Cg%iGh8V5-22P>bU!-(o&DV(_a(W2(*5J7gP+GhT}KJ6HR5LcWPK>1 z?jjHAy{o+Pm!06-OZ5+0QFfq4nz(POWem|Hhqi6%>><|M_=R?L0Q8=!s+UB((sM;R zzj6kG;q~2%zDKo9LAX3hf9wD!?Ci^@d+51A=ctf?6Z%}8unKa$W@QERzt4B~R(ry~ zSQ{_x@IW{^L-3GQkAT%SliR$tkx(Ake@~kb0u%Zlj@)$%hQaAdU7y<_zJ`*Hxhdd0?b0Qu0xIUF9iJHp*eiaDnxMRVCg>10Z3ARnH~C0i<}2DNnz3 zghcO)h5@TqkmZn2mWKXaT+NC{H}bA|3;#KO`xTl~b;tD-rux95P}N&4Q7hmi4 zJbLufnBS7=zdQCQcPY<(gj(sv&$q#82 z#$SV6^W0V!>$$`xcv0LJB(>ZXI3A#PnR2Dx zG6~9&Z_;@LC1_$6Mn}md$`Mbpp*$jb$PH?#dmC7Gk(a)1ko7|j@}g+9Iv8h(Vej{~ z-n~2F2%qW?ayp^Bx8@7AlrQmmSn}w`jg2o#7~$ZDa7PPe?A-2l)9H}wZ5a>VedM3A z$G%f0*P7a$g(^Bn$|Ewin6~Rl*48Bgw(}Z&bsnFG@E45l?l${D5l{Q9mMakozrVSv zuO0+Fi#?}bKM#h^x3Y$LaRI33I@6e1O$3W?+%;$B5qI(9F@-IX2pEVe;JJu6b^#r? zGE^Q%!6-@b7i=aNzEuedo>mBi<%b8!+LlmX?K(XJi9yi+|9p_NTnYZ4Zyfj7;(kQj zyM_B)a8CfvpT@bSI4=+9FyVX;yf=>b5%Hc2o}b2Zd3fFf-y`DlX?*U1->30&I_>^T z^G%jexV}vAd7l&xnFbVOl)hm=nZBH0%^m|9)|s9_=H|^omd(G_;279oo ziT=pULjbQySPh9M!bx2buAtr^P~Y=Aexb)1%2lRIndz;dHSA%i{jMk2CM*am=^B7P zDOGFLgf=+!^2;*|q25a}F>>~%7ECwkY5d|qd8>+s`y`U~aAfpALGe^5^e5Zj7S)P} zz?Dh4MtUN=q`szaN9GA5N!Mwu5Faf`_l|UTp&NLttiBUN_a9aA9>#=FZ*Ze3s#ro^Zy4c%e}L#nw2;A(vq**H;A%A&;%@ugGUg>2PS~ zA^}i#@l)h?RWNEE~+L7b!<~>YN?9=%E#s*mHO7ew8Z}_ zAyEhl^n-#aP=7ox^lpkQmkX%Y8gz`Wq5PPNjf-5i50F!sYXIV?c5V7`U6F|dHHMA$ z)czQdjsB!3d>|5N3pRU~5udxy{;(0XN;tsSr8)-0L;XS@I!1x^q=)$Rhu&GBKB9;m z`H|oN5SY{`_LjGSPh}qhRoB#fK z5V4BnE$~r<+l~o8ShtjcOhi|sfzBGsRC_hRUrYcg&A8Rte11%!gqQBzI~9;R?W3cA zSp<0)d@nO83&OppN1uM)Qi5@n*=rVI?hv7J(LVz52OHK;kB@VEL*j!1?gtCVGqc0; zz76rk^Q>j0mx$JJ5Pd4V0J z*uP6T2Jkz2%2uAw75@BGIxRkldST9AFsgE2AZuA%yTIZFX4}k1e7+gNx};Vm8Nm)7 zh@T@kHllk%lj)JjB?8D=)OUHFME5bpx}lg70$f<$-#u(+i1j?pRQ;-qID^^wY+~hR zz#}H$RbK7^S)0PtoA+E`U(lv^^%UBVQxLS6ke6ZNd)EfLjR&~5$<#*;iXFyaA;-FI(l z{&oavC6#|-ff69=V8W$@ey8SloR}f!0`NYvc08wg9Fq!p1=O{=aBI3sEd7QBCaS*N zb2HHaQw*-=Tp2aM%4>x>iI${!-)SY)KgBS%I;wDhObPiMrX)RVqqJ*FxZ#FpZ=FTNFgOkljw&4u_)gN2!HRVqoby$>@{G2pCmZ^x|nkoW`o# zK5bjU5JfKSWTO@iB7K}LO^V@Ad*{|=2`1Fn|3BY2?y<%Fh`4tP_qpJn0GvOKb4_tx z9?oIH`5t(09PcCIJr_Jbjpy?4ya&EV#OKra+ylQ)RlT= z`+k-Vaq+&(yyU2M3IbuJj>b>X?x04iGm&}28OEK(Z`sk?AX(wIg;~EhynN1>Ti6~7 zU#N2KPgEJfl_Zn1?TCXBRi;Y)Y|#a*yRvHzH0pxkK_Ye6M-3=hC=sM^b_OQ0wEyTV zRH2xT_VwW_=yN|oqbwwc=6+?2`i{tFNEIu*H+VD#BFGjN*hTEX^}vxVb=0q+PUPYZ z-!lQ`^Oq|2Hxa)xjB}89ngI0I|I8b&+k@!1k-b)%3uGj2)(=&Bz^}ZzwiAnpt6G@m zZ^ajbJOV~)M_pqfiN~C?hfNgXLP_|QD_nrFVM_NG+Utkf|Dlp_wuBRb(YAkCEWx0D z|HG4FZ%|ha+G}!0?|JEzPw@f~kp6;v;IWnlSRF4u*ipg0rGgBZDj|b zoL?Hf(2n*cG)>)gw9a6%y`AfX@-CTmG$&6tgadsgMbKAt&wVMY%Tk4WO`DRdF9IVG zPrk$0v%e!4DA*#8kt1)mvu94jPmypqV9jbkvKEd!zu^uC*}|aRL5(I@&>9$d-_7%( z^Xb&kpS#CsLx8DWhjFVl3{L($oOoV56lg`456;+zAs_6#$UNfYN`!9h^5i0}7n}Uj zxOX(nou9QBXAXinp(NW&6w$C#_~ItRW0b>ZjlH0&p$kDPK{caX+ECCL6t~H20*ikp zT~>|7fh8g>Mnu3BekJop*4c^yL&0$DxUnUi9P+&Qti}ig^Ho?~^K4-6K~e$XfjyKu zb49)WWewFyZPg+c&S3bRKklWOJ3M9o87?A^<{8}Y)ekN5twOt%18&JUIS-$l-`U3D3TTD z+YH!2V#@>Gt#ns-uaAAcKsG#S=FyiPjr54N1dfGyh{_Lffh^zjn zyMD72^~tARrLyg7TEY|IV$i;ixRUyBwNjf(#YP7zgo$n><$BSu<7GRYXtT$LSYU455asA7Wp7>Aa9 z(OifiSK5B0NfV~pPkp*tgUyde-n^KpVhF#>jJ z>%aE7pnQZy#iBrMG=w~3Ab*W=P?^o|pI0I-r2*-cJ3GPQV0^UwUw%a-1hj`}Y&u55 z={EW$pDx6)rF(IYpQ#YTedD;t7WX6K-Ywkcf_nmR{xr@t#d&!+hY9C<;JtCYkBIkN z@ccBM%fs^?_#P3TPvdhB{63AJ)8`p;^9x;~AvccJre`M_F1ZCBDEr|H*_Q`?oR+f( zTEby6<1xg8QBC(nk5VYDp-zn^t#FA0ubyYZDf*$8N4 zV~8{9{$Mz9*i{7ejkulf`@Pp>-6H zbijHM7vd2Ah~K|wBM&Szl?sCBeEqGYGWrP3J(PQl8q+SJJb!pV?3=g<*bDMWt<4RG zmbsqeto`w@xFA1b?w15B1c6-ksVErYS2f+g9}RaTCh6Rc#eyS?z{RJ@fv|R|RmbFX z97yNH`#cp4hqGe2@->TLa9*l%y#k1!O(rAhzZ?sx9`xD|v}53OStLtfT@1?g)SsT( zjD;0%m0v0*5x^^csoB;c1?Y~wT?%}g2*Y>W8H>Vhf&a*ZmeQIih*>H8mU8MQ7$3Hd zJkn(ZE80dyQD}bc`{Q81y>Ux0|2-U_mum*k?p(AleWQ;R%=a;SGI@ZAz1sZ*Pbs)d zMzWM3gmTLA%@@<%Za`a7!`J7_g5aYpq``;0K`pEg_ku%%pn}&nF6Ui1wC*QkUn9^Q z&bZ_!iG&Y$?oDhgGKIq4g=5$o!9WQ1I`hSaH5}Sq8I)duA6Pak1U&uihx&OOD{6>S z?WdePaUA(O{!M>O`#@y@#os2Q#!nC-{0}4bO9dZ@{P;8d1Io`S^aZ=IkotqeiPJOR zs%+s;*?}~+5O-)-*1PY6{=dsANPkOx^??dHLN6n&9|**ID!W;^LL3EI+3x{;?Bh^d zHf!|H>fK2Tp18 zpJS=iz?xmX%g!N=5=F_xLW`*{yr=h`i~oqY32ZMGGZTnVGTBJ&k9>Rw2a7z;GKB%l z_)qUw%YG0uWd3kf8~G}Vs_e(9E`qGx)`f{ISNIa37k+!;Dwe=Bp*qT^f+Z@@oR^I= zg?b$}lnZdf9_rF<=adFucV%WOtj7u1Z-rM56}i69@9S(ng?!&%+9JntWZZ#F-Lk1O zLj#jo^k1mbw*;o{-EW_p(Hu&XbB~t`^)Bd@pODm{?~znmu>}md7%$qbZ75>xQ;j<;&##x1e}pqU37Yl)C)}F$lgslM!_=ObFRBve&90S z))z-QO*v!BL>b;Y0T9Z6uhye&-~osSZyB*YbUvT;SiP>GU00M{uDf`|pLP zGF+vY8~9u7iFi)kN)HGqw|sReS1~FC0u^PqE^qq6&98p^YslMeK*cliEJYj=r}K1K zBav4msirtE&=ZE}PW-yqK!CFrFIJ5+{Gng)eclA(j*aaKjv5vE17FZc`DygK6z)6z zU)A7J>oP5oTl3x34PTGMU&f@p@B<8S1RVLwKzC4=^u=h*(ZZ|$Rd zyg+!p{=Fbr)_+o;vlt4+uc}n^R=glKVuGRXVkq$EcQ-1hAWzKm?nNDxduvpAV8&32 z-aRpI%qL0hAbY;wGKNDB`RcYlJ0cE`Q_jq>&}1F-Ie5!Yx^D^Bi+n;VCrqIv%VjJB z^+leMupxd^;LZ+%LB##P*6)<{@2?k>`Kfbk*xNuHokz@LUkB*FyEF2)(-Slo zNarrCxPh<=S?Q255vtgC_b+m~!|=^8TdFl3&^m%r+rQkQ$bLL{809V-XJ#Y$7rkJi zuj1(XCA3HU^=3}c*aJGWF11`|MLx;;UCXviZ+L5KXB!)>2PY&;_F}$xL3cr=<2<(; z>|h0j9H@^>NlH>cfw%>X>zy&>j;@elN;suN>j9hgU9MedkAIb#=jR}rle3H+)b&Pu zyxYZw(-mKx;FzJ{+~zl9;3QvO$+AQHToJk8KYy)IUm*1|6UjAfqA;yYjcA6we=Ovq zJ*EZcorSP++s;=m@eEvvIW3(lF?9^5bh$b=al1(AC^9f{P7C za2oY>f^M5sQ605JJeg7ZEB|ysvX*0nX2BhFKZ&#!w(9{+6!DZ5zaV%NiTPwVibH4k zxNjSiEL=(9Zx)cy2jU0cF4+tPEYxq^oloRC$h|4d=vh(4zO$_DORDH#7zvv^`4^0*Bc^h`$G!2*}%R+Z2@h|}}F2#K}V|9s=P#}@Y^;@&OX z=Yo3zaQ-yTHN|;(IEM-6d*HosypM?YT=4ufp3B4Y9{3&+pHJg+5BxrjpVPNU8Lm_r z1_Kv&=JF=;f-C8yer<`+gRYjfJq|Bj7!l>B8j42zIF~}Q)BHAQK4(};A7%)KKbXrC zrO=%4WRjVgF6#3sikBu$0s)?v?JdZQO>0Sw z)GeSl{xr|~DgmzWEc6|B@PeJxwimaX?SWIRm^C-a1}?wZWxssM5shkyfYt&kK2B3cYt(X1>N4!zK zRlLQF?g|tso-0!f(uXFB*mjRheHb71BHbiCk44-QTC73u`+^*4qT@Ypps=ba;%@N* z`QX{U+-fJ_>yTxz(kbx(iIRKYy<{9gGu5}`7UF1eka?ZsWh6kylXV?t z4@*!g4*e$f*%tQSY_E2fquvG2skuxqBdD8_m0ESvf@O1e=gS&hsbDBb+z z_J{01TKlD3(J6a)*m-ZZDBd2Les?idxjTW^Srz_0)PE|AF0G_6cLDmQo7PQ;1E}^V z+@Trqb=G|M$C8WHV2hJ8AXNA=jDA@j(DhS?7JWImHH^;XQ`Tk16^F2Jbs}B*0Taj` z_f{;Jya4p0eoj<}6`}HvJ|UZ162uhkhMP*{fR0y|Ot|kV;*FhM+`MOnJaYXsDteBv zby+T0uD}l1w63_na5RU$+cFsk>1=@|nw?#(7x7+?sBRV1BcBn0oc@TVHR$FQ9`A}n zyd(4Qg#1JcxV?CbBcjy?5{$a6o?p?0hPdN=SJD2JF19yt|EoP{J(SV?ecTRc4yw=G zNw)*Tb(&e~Fj8eUZlM?5GNgQI4sx0oyu*+RTy0=l{@h9jB;DCr$*F;F*$!#BJy zP3>{P!HfqIQ8tz^dj9|``J_JVk|!ue{jvh*AM_*M zTU;O$@>9kbySDDjKq+~Er9-|g+!bCDV1pab74ZH5JL=ucpDX=a)ou%OpC4MiJz@nP zRX!wWqI0+QYp~pB#5JKwUO0X>-xP|53j`72(ptj7~NCUAn7;eGa^;erekV8m`oAMI;a)5zQ>T z*lvLPny-jQJ_{6St9q^{Ndwgx)}PbNDxj4U!#%gF1Xn{CQ&;}z!jivyD~qr+i1FKH z3lErs#Dll#3DQ^Kft9QLP}V`1Pknv)GP@uM8LOD=of3fE43Y$14JlYs&9Ailsfvlc zds}-ge6MZ5jiCYiE{CO?NqqGLVQi!LFTL*tA>iCqF$z6t4>c!aCTV{-z=?#9!a83F zu(hsK@c`vxHnk6(_n@@}tL4Vpo-|vy^O&rt=bj^6Qx84I-GXui{3HGwMb03*Zx>F| z>;~(ZDSoXl-GEEGw2J}Fhxn(5GV>PgVfe3Zi}Z#gbS?Rd|L5)qba71+KRO6tG!|Vq z7$6Q0PswRa6Vdl;hdNDO#SU81;Bj(cozKO*kk!hJ5dCjjS9<6Kjmmxpth saJ~oL8^`;Ic+UmTPvf~fJnw<;5%KvnKKH=y)A%_(VYIpz9PbGK58N{sTL1t6 diff --git a/input/thermo/uncertainty/surfaceThermoPt111/species_dictionary.txt b/input/thermo/uncertainty/surfaceThermoPt111/species_dictionary.txt index 8794b028b4..ddfcbf3e0f 100644 --- a/input/thermo/uncertainty/surfaceThermoPt111/species_dictionary.txt +++ b/input/thermo/uncertainty/surfaceThermoPt111/species_dictionary.txt @@ -1,4 +1,75 @@ -C3H4X(0) +[Pt](0) +1 X u0 p0 c0 + +CHO3X(1) +1 O u0 p2 c0 {4,S} {6,S} +2 O u0 p2 c0 {4,S} {5,S} +3 O u0 p2 c0 {4,D} +4 C u0 p0 c0 {1,S} {2,S} {3,D} +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 {1,S} + +CH2NOX2(2) +1 O u0 p2 c0 {3,S} {5,S} +2 N u0 p1 c0 {3,S} {4,S} {7,S} +3 C u0 p0 c0 {1,S} {2,S} {6,D} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 {3,D} +7 X u0 p0 c0 {2,S} + +N[Pt](3) +1 N u0 p1 c0 {2,S} {3,S} {4,S} +2 H u0 p0 c0 {1,S} +3 H u0 p0 c0 {1,S} +4 X u0 p0 c0 {1,S} + +OO.[Pt](4) +1 O u0 p2 c0 {2,S} {3,S} +2 O u0 p2 c0 {1,S} {4,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {2,S} +5 X u0 p0 c0 + +CH4O2X(5) +1 O u0 p2 c0 {3,S} {6,S} +2 O u0 p2 c0 {3,S} {7,S} +3 C u0 p0 c0 {1,S} {2,S} {4,S} {5,S} +4 H u0 p0 c0 {3,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {2,S} +8 X u0 p0 c0 + +CH2NX +1 N u0 p1 c0 {2,D} {4,S} +2 C u0 p0 c0 {1,D} {3,S} {5,S} +3 H u0 p0 c0 {2,S} +4 H u0 p0 c0 {1,S} +5 X u0 p0 c0 {2,S} + +C3H4X(7) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {3,T} +3 C u0 p0 c0 {2,T} {7,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {3,S} +8 X u0 p0 c0 + +CC.[Pt](8) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {2,S} +9 X u0 p0 c0 + +C3H4X(9) 1 C u0 p0 c0 {3,D} {4,S} {5,S} 2 C u0 p0 c0 {3,D} {6,S} {7,S} 3 C u0 p0 c0 {1,D} {2,D} @@ -8,24 +79,37 @@ C3H4X(0) 7 H u0 p0 c0 {2,S} 8 X u0 p0 c0 -C2H4X(1) -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 C u0 p0 c0 {1,D} {5,S} {6,S} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 +COX(10) +1 O u0 p2 c0 {2,D} +2 C u0 p0 c0 {1,D} {3,D} +3 X u0 p0 c0 {2,D} -C2H2OX(2) -1 O u0 p2 c0 {3,D} -2 C u0 p0 c0 {3,D} {4,S} {5,S} -3 C u0 p0 c0 {1,D} {2,D} +HNOX(11) +1 O u0 p3 c-1 {2,S} +2 N u0 p0 c+1 {1,S} {3,S} {4,D} +3 H u0 p0 c0 {2,S} +4 X u0 p0 c0 {2,D} + +CHOX(12) +1 O u0 p2 c0 {2,D} +2 C u0 p0 c0 {1,D} {3,S} {4,S} +3 H u0 p0 c0 {2,S} +4 X u0 p0 c0 {2,S} + +CH2OX2(13) +1 O u0 p2 c0 {2,S} {6,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 +5 X u0 p0 c0 {2,S} +6 X u0 p0 c0 {1,S} + +CHX(14) +1 C u0 p0 c0 {2,S} {3,T} +2 H u0 p0 c0 {1,S} +3 X u0 p0 c0 {1,T} -CH3NX(3) +CH3NX(15) 1 N u0 p1 c0 {2,D} {5,S} 2 C u0 p0 c0 {1,D} {3,S} {4,S} 3 H u0 p0 c0 {2,S} @@ -33,378 +117,257 @@ CH3NX(3) 5 H u0 p0 c0 {1,S} 6 X u0 p0 c0 -CH2OX(4) -1 O u0 p2 c0 {2,D} -2 C u0 p0 c0 {1,D} {3,S} {4,S} -3 H u0 p0 c0 {2,S} +C2H4X(16) +1 C u0 p0 c0 {2,D} {3,S} {4,S} +2 C u0 p0 c0 {1,D} {5,S} {6,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 + +CH3N2X2(17) +1 N u0 p1 c0 {2,S} {3,S} {7,S} +2 N u0 p1 c0 {1,S} {8,D} +3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S} +4 H u0 p0 c0 {3,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {3,S} +7 X u0 p0 c0 {1,S} +8 X u0 p0 c0 {2,D} + +NO3X3(18) +1 O u0 p2 c0 {4,S} {5,S} +2 O u0 p2 c0 {4,S} {6,S} +3 O u0 p2 c0 {4,S} {7,S} +4 N u0 p1 c0 {1,S} {2,S} {3,S} +5 X u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,S} +7 X u0 p0 c0 {3,S} + +C2H5OX(19) +1 O u0 p2 c0 {2,S} {8,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 C u0 p0 c0 {2,S} {6,S} {7,S} {9,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {1,S} +9 X u0 p0 c0 {3,S} -C3H5X(5) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {3,D} {9,S} -3 C u0 p0 c0 {2,D} {7,S} {8,S} +C3H3X(20) +1 C u0 p0 c0 {2,D} {3,S} {4,S} +2 C u0 p0 c0 {1,D} {5,S} {6,S} +3 C u0 p0 c0 {1,S} {7,T} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 {3,T} + +C2H3X(21) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,T} +3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,T} + +CH3NOX(22) +1 O u0 p2 c0 {3,S} {6,S} +2 N u0 p1 c0 {3,S} {4,S} {5,S} +3 C u0 p0 c0 {1,S} {2,S} {7,D} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} 6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {3,S} -9 X u0 p0 c0 {2,S} +7 X u0 p0 c0 {3,D} -C2H3OX(6) -1 O u0 p2 c0 {2,S} {6,S} -2 C u0 p0 c0 {1,S} {3,D} {7,S} -3 C u0 p0 c0 {2,D} {4,S} {5,S} -4 H u0 p0 c0 {3,S} -5 H u0 p0 c0 {3,S} +C2H3OX2(23) +1 O u0 p2 c0 {3,S} {6,S} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {7,S} +3 C u0 p0 c0 {1,S} {2,S} {8,D} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} 6 H u0 p0 c0 {1,S} 7 X u0 p0 c0 {2,S} +8 X u0 p0 c0 {3,D} -C3H8X(7) +C3H6X(24) 1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} 2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S} +3 C u0 p0 c0 {1,S} {9,S} {10,D} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {1,S} 6 H u0 p0 c0 {2,S} 7 H u0 p0 c0 {2,S} 8 H u0 p0 c0 {2,S} 9 H u0 p0 c0 {3,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} -12 X u0 p0 c0 - -C2H6OX(8) -1 O u0 p2 c0 {2,S} {9,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} -3 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {3,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {3,S} -9 H u0 p0 c0 {1,S} -10 X u0 p0 c0 +10 X u0 p0 c0 {3,D} -C3H5OX(9) -1 O u0 p2 c0 {4,D} -2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} -3 C u0 p0 c0 {2,S} {7,S} {8,S} {9,S} -4 C u0 p0 c0 {1,D} {2,S} {10,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {3,S} -9 H u0 p0 c0 {3,S} -10 X u0 p0 c0 {4,S} +CHNX2(25) +1 N u0 p1 c0 {2,S} {5,D} +2 C u0 p0 c0 {1,S} {3,S} {4,D} +3 H u0 p0 c0 {2,S} +4 X u0 p0 c0 {2,D} +5 X u0 p0 c0 {1,D} -C2H6X(10) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 H u0 p0 c0 {1,S} +CH2N2X2(26) +1 N u0 p1 c0 {3,S} {4,S} {7,S} +2 N u0 p1 c0 {3,D} {5,S} +3 C u0 p0 c0 {1,S} {2,D} {6,S} 4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 X u0 p0 c0 +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 {3,S} +7 X u0 p0 c0 {1,S} -C3H6X(11) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {3,D} {7,S} -3 C u0 p0 c0 {2,D} {8,S} {9,S} +C3H7X(27) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,S} {7,S} {11,S} +3 C u0 p0 c0 {1,S} {8,S} {9,S} {10,S} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} 7 H u0 p0 c0 {2,S} 8 H u0 p0 c0 {3,S} 9 H u0 p0 c0 {3,S} -10 X u0 p0 c0 +10 H u0 p0 c0 {3,S} +11 X u0 p0 c0 {2,S} -C2H4OX(12) +CNOX2(28) 1 O u0 p2 c0 {3,D} -2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} -3 C u0 p0 c0 {1,D} {2,S} {7,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {3,S} -8 X u0 p0 c0 +2 N u0 p1 c0 {3,S} {5,D} +3 C u0 p0 c0 {1,D} {2,S} {4,S} +4 X u0 p0 c0 {3,S} +5 X u0 p0 c0 {2,D} -CH5NX(13) -1 N u0 p1 c0 {2,S} {6,S} {7,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} -3 H u0 p0 c0 {2,S} +C2H2X2(29) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,T} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 X u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,T} + +C2H3X(30) +1 C u0 p0 c0 {2,D} {3,S} {6,S} +2 C u0 p0 c0 {1,D} {4,S} {5,S} +3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {2,S} 5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {1,S} -8 X u0 p0 c0 +6 X u0 p0 c0 {1,S} -CH4N2OX(14) -1 O u0 p2 c0 {2,S} {8,S} -2 N u0 p0 c+1 {1,S} {3,S} {9,D} -3 N u0 p2 c-1 {2,S} {4,S} -4 C u0 p0 c0 {3,S} {5,S} {6,S} {7,S} -5 H u0 p0 c0 {4,S} -6 H u0 p0 c0 {4,S} -7 H u0 p0 c0 {4,S} -8 H u0 p0 c0 {1,S} -9 X u0 p0 c0 {2,D} - -C2H6O2X(15) -1 O u0 p2 c0 {3,S} {4,S} -2 O u0 p2 c0 {3,S} {10,S} -3 C u0 p0 c0 {1,S} {2,S} {5,S} {6,S} -4 C u0 p0 c0 {1,S} {7,S} {8,S} {9,S} -5 H u0 p0 c0 {3,S} -6 H u0 p0 c0 {3,S} -7 H u0 p0 c0 {4,S} -8 H u0 p0 c0 {4,S} -9 H u0 p0 c0 {4,S} -10 H u0 p0 c0 {2,S} -11 X u0 p0 c0 - -C2H6OX(16) -1 O u0 p2 c0 {2,S} {3,S} -2 C u0 p0 c0 {1,S} {4,S} {5,S} {9,S} -3 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {3,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {3,S} -9 H u0 p0 c0 {2,S} -10 X u0 p0 c0 - -CH4OX(17) -1 O u0 p2 c0 {2,S} {6,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {1,S} -7 X u0 p0 c0 - -C3H6X(18) -1 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {3,S} {7,S} {8,S} {9,S} -3 C u0 p0 c0 {1,S} {2,S} {10,D} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {2,S} -10 X u0 p0 c0 {3,D} - -C3H7X(19) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {11,S} -2 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} -3 C u0 p0 c0 {1,S} {8,S} {9,S} {10,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {3,S} -9 H u0 p0 c0 {3,S} -10 H u0 p0 c0 {3,S} -11 X u0 p0 c0 {1,S} - -C2H5OX(20) -1 O u0 p2 c0 {2,S} {8,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {9,S} -3 C u0 p0 c0 {2,S} {5,S} {6,S} {7,S} +C2H2X(31) +1 C u0 p0 c0 {2,T} {3,S} +2 C u0 p0 c0 {1,T} {4,S} +3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {3,S} -6 H u0 p0 c0 {3,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {1,S} -9 X u0 p0 c0 {2,S} - -C3H6X2(21) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {10,S} -2 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} -3 C u0 p0 c0 {1,S} {8,S} {9,S} {11,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {3,S} -9 H u0 p0 c0 {3,S} -10 X u0 p0 c0 {1,S} -11 X u0 p0 c0 {3,S} +5 X u0 p0 c0 -C2H4OX(22) -1 O u0 p2 c0 {3,S} {7,S} -2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} -3 C u0 p0 c0 {1,S} {2,S} {8,D} -4 H u0 p0 c0 {2,S} +H4N2X(32) +1 N u0 p1 c0 {2,S} {3,S} {4,S} +2 N u0 p1 c0 {1,S} {5,S} {6,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {2,S} 6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {1,S} -8 X u0 p0 c0 {3,D} +7 X u0 p0 c0 -C2H3OX(23) +CHNOX(33) 1 O u0 p2 c0 {3,D} -2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} -3 C u0 p0 c0 {1,D} {2,S} {7,S} +2 N u0 p1 c0 {3,D} {4,S} +3 C u0 p0 c0 {1,D} {2,D} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 {3,S} - -CH4N2OX(24) -1 O u0 p2 c0 {3,S} {8,S} -2 N u0 p0 c+1 {3,S} {4,S} {9,D} -3 N u0 p2 c-1 {1,S} {2,S} -4 C u0 p0 c0 {2,S} {5,S} {6,S} {7,S} -5 H u0 p0 c0 {4,S} -6 H u0 p0 c0 {4,S} -7 H u0 p0 c0 {4,S} -8 H u0 p0 c0 {1,S} -9 X u0 p0 c0 {2,D} - -CH4N2OX2(25) -1 O u0 p2 c0 {3,S} {8,S} -2 N u0 p1 c0 {3,S} {4,S} {9,S} -3 N u0 p1 c0 {1,S} {2,S} {10,S} -4 C u0 p0 c0 {2,S} {5,S} {6,S} {7,S} -5 H u0 p0 c0 {4,S} -6 H u0 p0 c0 {4,S} -7 H u0 p0 c0 {4,S} -8 H u0 p0 c0 {1,S} -9 X u0 p0 c0 {2,S} -10 X u0 p0 c0 {3,S} +5 X u0 p0 c0 -C.[Pt](26) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 H u0 p0 c0 {1,S} +C2H3X2(34) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {6,S} +2 C u0 p0 c0 {1,S} {5,S} {7,D} 3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 X u0 p0 c0 - -C3H4X(27) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {3,T} -3 C u0 p0 c0 {2,T} {7,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {3,S} -8 X u0 p0 c0 +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 {1,S} +7 X u0 p0 c0 {2,D} -C2H2X(28) -1 C u0 p0 c0 {2,T} {3,S} -2 C u0 p0 c0 {1,T} {4,S} -3 H u0 p0 c0 {1,S} +CH2OX(35) +1 O u0 p2 c0 {2,D} +2 C u0 p0 c0 {1,D} {3,S} {4,S} +3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {2,S} 5 X u0 p0 c0 -CO2X(29) -1 O u0 p2 c0 {3,D} -2 O u0 p2 c0 {3,D} -3 C u0 p0 c0 {1,D} {2,D} -4 X u0 p0 c0 - -CH4O2X(30) -1 O u0 p2 c0 {3,S} {6,S} -2 O u0 p2 c0 {3,S} {7,S} -3 C u0 p0 c0 {1,S} {2,S} {4,S} {5,S} -4 H u0 p0 c0 {3,S} -5 H u0 p0 c0 {3,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {2,S} -8 X u0 p0 c0 - -C2H5O2X(31) -1 O u0 p2 c0 {3,S} {4,S} -2 O u0 p2 c0 {3,S} {10,S} -3 C u0 p0 c0 {1,S} {2,S} {5,S} {6,S} -4 C u0 p0 c0 {1,S} {7,S} {8,S} {9,S} -5 H u0 p0 c0 {3,S} -6 H u0 p0 c0 {3,S} -7 H u0 p0 c0 {4,S} -8 H u0 p0 c0 {4,S} -9 H u0 p0 c0 {4,S} -10 X u0 p0 c0 {2,S} +CH3N2X(36) +1 N u0 p1 c0 {3,S} {4,S} {5,S} +2 N u0 p1 c0 {3,D} {6,S} +3 C u0 p0 c0 {1,S} {2,D} {7,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 {3,S} -CH2O2X2(32) -1 O u0 p2 c0 {3,S} {6,S} -2 O u0 p2 c0 {3,S} {7,S} -3 C u0 p0 c0 {1,S} {2,S} {4,S} {5,S} +CH2O2X(37) +1 O u0 p2 c0 {3,S} {5,S} +2 O u0 p2 c0 {3,D} +3 C u0 p0 c0 {1,S} {2,D} {4,S} 4 H u0 p0 c0 {3,S} -5 H u0 p0 c0 {3,S} -6 X u0 p0 c0 {1,S} -7 X u0 p0 c0 {2,S} - -H3NOX(33) -1 O u0 p2 c0 {2,S} {5,S} -2 N u0 p1 c0 {1,S} {3,S} {4,S} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {2,S} 5 H u0 p0 c0 {1,S} 6 X u0 p0 c0 -O.[Pt](34) -1 O u0 p2 c0 {2,S} {3,S} -2 H u0 p0 c0 {1,S} -3 H u0 p0 c0 {1,S} -4 X u0 p0 c0 +CH4OX(38) +1 O u0 p2 c0 {2,S} {6,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 H u0 p0 c0 {2,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {1,S} +7 X u0 p0 c0 -H2X(35) -1 H u0 p0 c0 {2,S} -2 H u0 p0 c0 {1,S} -3 X u0 p0 c0 +C2X2(39) +1 C u0 p0 c0 {2,D} {3,D} +2 C u0 p0 c0 {1,D} {4,D} +3 X u0 p0 c0 {1,D} +4 X u0 p0 c0 {2,D} -CHO2X(36) -1 O u0 p2 c0 {3,S} {5,S} -2 O u0 p2 c0 {3,D} -3 C u0 p0 c0 {1,S} {2,D} {4,S} -4 H u0 p0 c0 {3,S} +C3HX3(40) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,T} +3 C u0 p0 c0 {1,S} {7,T} +4 H u0 p0 c0 {1,S} 5 X u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,T} +7 X u0 p0 c0 {3,T} -C2H4O2X(37) -1 O u0 p2 c0 {3,S} {4,S} -2 O u0 p2 c0 {4,D} -3 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} -4 C u0 p0 c0 {1,S} {2,D} {8,S} -5 H u0 p0 c0 {3,S} -6 H u0 p0 c0 {3,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {4,S} -9 X u0 p0 c0 +C2HX2(41) +1 C u0 p0 c0 {2,D} {3,S} {4,S} +2 C u0 p0 c0 {1,D} {5,D} +3 H u0 p0 c0 {1,S} +4 X u0 p0 c0 {1,S} +5 X u0 p0 c0 {2,D} -CH2O2X(38) -1 O u0 p2 c0 {3,S} {5,S} -2 O u0 p2 c0 {3,D} -3 C u0 p0 c0 {1,S} {2,D} {4,S} -4 H u0 p0 c0 {3,S} +CH4N2X(42) +1 N u0 p1 c0 {3,S} {4,S} {5,S} +2 N u0 p1 c0 {3,S} {6,S} {7,S} +3 C u0 p0 c0 {1,S} {2,S} {8,D} +4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {1,S} -6 X u0 p0 c0 - -H2O2X(39) -1 O u0 p2 c0 {2,S} {3,S} -2 O u0 p2 c0 {1,S} {4,S} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} +8 X u0 p0 c0 {3,D} -HNOX(40) -1 O u0 p3 c-1 {2,S} -2 N u0 p0 c+1 {1,S} {3,S} {4,D} +HO2X(43) +1 O u0 p2 c0 {2,S} {4,S} +2 O u0 p2 c0 {1,S} {3,S} 3 H u0 p0 c0 {2,S} -4 X u0 p0 c0 {2,D} +4 X u0 p0 c0 {1,S} -CHNOX(41) -1 O u0 p2 c0 {3,S} {4,S} -2 N u0 p1 c0 {3,T} -3 C u0 p0 c0 {1,S} {2,T} +CH2N2X(44) +1 N u0 p1 c0 {3,D} {4,S} +2 N u0 p1 c0 {3,D} {5,S} +3 C u0 p0 c0 {1,D} {2,D} 4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 -C2H8N2X(42) +C2H8N2X(45) 1 N u0 p1 c0 {2,S} {3,S} {4,S} 2 N u0 p1 c0 {1,S} {11,S} {12,S} 3 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} @@ -419,135 +382,105 @@ C2H8N2X(42) 12 H u0 p0 c0 {2,S} 13 X u0 p0 c0 -H4N2X(43) +H2N2X(46) 1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 N u0 p1 c0 {1,S} {5,S} {6,S} +2 N u0 p1 c0 {1,S} {5,D} 3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 +5 X u0 p0 c0 {2,D} -CH4N2X(44) -1 N u0 p1 c0 {3,S} {4,S} {5,S} -2 N u0 p1 c0 {3,S} {6,S} {7,S} -3 C u0 p0 c0 {1,S} {2,S} {8,D} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 X u0 p0 c0 {3,D} +C2H5OX(47) +1 O u0 p2 c0 {2,S} {9,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {3,S} +9 X u0 p0 c0 {1,S} -CH3N2X(45) -1 N u0 p1 c0 {3,S} {4,S} {5,S} -2 N u0 p1 c0 {3,D} {6,S} -3 C u0 p0 c0 {1,S} {2,D} {7,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 {3,S} +CH2O2X2(48) +1 O u0 p2 c0 {3,S} {6,S} +2 O u0 p2 c0 {3,S} {7,S} +3 C u0 p0 c0 {1,S} {2,S} {4,S} {5,S} +4 H u0 p0 c0 {3,S} +5 H u0 p0 c0 {3,S} +6 X u0 p0 c0 {1,S} +7 X u0 p0 c0 {2,S} -[Pt].N(46) +CH2NX(49) 1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 H u0 p0 c0 {1,S} +2 C u0 p0 c0 {1,S} {5,T} 3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 - -CH2N2X(47) -1 N u0 p1 c0 {3,D} {4,S} -2 N u0 p1 c0 {3,D} {5,S} -3 C u0 p0 c0 {1,D} {2,D} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 +5 X u0 p0 c0 {2,T} -CH2N2X2(48) -1 N u0 p1 c0 {3,S} {4,S} {7,S} -2 N u0 p1 c0 {3,D} {5,S} -3 C u0 p0 c0 {1,S} {2,D} {6,S} +CHNOX2(50) +1 O u0 p2 c0 {3,S} {4,S} +2 N u0 p1 c0 {3,S} {6,D} +3 C u0 p0 c0 {1,S} {2,S} {5,D} 4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {3,S} -7 X u0 p0 c0 {1,S} +5 X u0 p0 c0 {3,D} +6 X u0 p0 c0 {2,D} -N2X(49) -1 N u0 p1 c0 {2,T} -2 N u0 p1 c0 {1,T} -3 X u0 p0 c0 +CH2NX(51) +1 N u0 p1 c0 {2,D} {5,S} +2 C u0 p0 c0 {1,D} {3,S} {4,S} +3 H u0 p0 c0 {2,S} +4 H u0 p0 c0 {2,S} +5 X u0 p0 c0 {1,S} -CH2O3X(50) -1 O u0 p2 c0 {4,S} {5,S} -2 O u0 p2 c0 {4,S} {6,S} -3 O u0 p2 c0 {4,D} -4 C u0 p0 c0 {1,S} {2,S} {3,D} +C3H4X2(52) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {8,S} +2 C u0 p0 c0 {1,S} {3,D} {9,S} +3 C u0 p0 c0 {2,D} {6,S} {7,S} +4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 - -CH3NOX(51) -1 O u0 p2 c0 {3,D} -2 N u0 p1 c0 {3,S} {5,S} {6,S} -3 C u0 p0 c0 {1,D} {2,S} {4,S} -4 H u0 p0 c0 {3,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 +6 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {3,S} +8 X u0 p0 c0 {1,S} +9 X u0 p0 c0 {2,S} -CHNOX(52) -1 O u0 p2 c0 {3,D} +CHN2X2(53) +1 N u0 p1 c0 {3,S} {6,D} 2 N u0 p1 c0 {3,D} {4,S} -3 C u0 p0 c0 {1,D} {2,D} +3 C u0 p0 c0 {1,S} {2,D} {5,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 +5 X u0 p0 c0 {3,S} +6 X u0 p0 c0 {1,D} -CH3NOX(53) -1 O u0 p2 c0 {3,S} {6,S} -2 N u0 p1 c0 {3,S} {4,S} {5,S} -3 C u0 p0 c0 {1,S} {2,S} {7,D} +C2HOX(54) +1 O u0 p2 c0 {2,D} +2 C u0 p0 c0 {1,D} {3,S} {4,S} +3 C u0 p0 c0 {2,S} {5,T} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {1,S} -7 X u0 p0 c0 {3,D} +5 X u0 p0 c0 {3,T} -CH2NOX(54) -1 O u0 p2 c0 {3,S} {4,S} -2 N u0 p1 c0 {3,D} {5,S} -3 C u0 p0 c0 {1,S} {2,D} {6,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {3,S} +CHOX(55) +1 O u0 p2 c0 {2,S} {3,S} +2 C u0 p0 c0 {1,S} {4,T} +3 H u0 p0 c0 {1,S} +4 X u0 p0 c0 {2,T} -CH2NOX2(55) -1 O u0 p2 c0 {3,S} {5,S} -2 N u0 p1 c0 {3,S} {4,S} {7,S} -3 C u0 p0 c0 {1,S} {2,S} {6,D} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {1,S} -6 X u0 p0 c0 {3,D} -7 X u0 p0 c0 {2,S} +C2OX2(56) +1 O u0 p2 c0 {2,D} +2 C u0 p0 c0 {1,D} {3,S} {4,S} +3 C u0 p0 c0 {2,S} {5,T} +4 X u0 p0 c0 {2,S} +5 X u0 p0 c0 {3,T} -C2H6N2OX(56) -1 O u0 p2 c0 {3,D} -2 N u0 p1 c0 {3,S} {4,S} {5,S} -3 N u0 p1 c0 {1,D} {2,S} -4 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S} -5 C u0 p0 c0 {2,S} {9,S} {10,S} {11,S} -6 H u0 p0 c0 {4,S} +C2H5O2X(57) +1 O u0 p2 c0 {3,S} {4,S} +2 O u0 p2 c0 {3,S} {10,S} +3 C u0 p0 c0 {1,S} {2,S} {5,S} {6,S} +4 C u0 p0 c0 {1,S} {7,S} {8,S} {9,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {3,S} 7 H u0 p0 c0 {4,S} 8 H u0 p0 c0 {4,S} -9 H u0 p0 c0 {5,S} -10 H u0 p0 c0 {5,S} -11 H u0 p0 c0 {5,S} -12 X u0 p0 c0 - -H2N2OX(57) -1 O u0 p2 c0 {3,D} -2 N u0 p1 c0 {3,S} {4,S} {5,S} -3 N u0 p1 c0 {1,D} {2,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 +9 H u0 p0 c0 {4,S} +10 X u0 p0 c0 {2,S} HNO2X(58) 1 O u0 p2 c0 {3,S} {4,S} @@ -556,141 +489,78 @@ HNO2X(58) 4 H u0 p0 c0 {1,S} 5 X u0 p0 c0 -CH2NOX(59) -1 O u0 p2 c0 {3,D} -2 N u0 p1 c0 {3,S} {4,S} {5,S} -3 C u0 p0 c0 {1,D} {2,S} {6,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {3,S} - -HN2OX(60) -1 O u0 p3 c-1 {2,S} -2 N u0 p0 c+1 {1,S} {3,D} {5,S} -3 N u0 p1 c0 {2,D} {4,S} -4 H u0 p0 c0 {3,S} -5 X u0 p0 c0 {2,S} - -C3H2X(61) -1 C u0 p0 c0 {2,D} {4,S} {5,S} -2 C u0 p0 c0 {1,D} {3,D} -3 C u0 p0 c0 {2,D} {6,D} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 X u0 p0 c0 {3,D} - -C3H5X(62) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 C u0 p0 c0 {1,S} {9,T} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 X u0 p0 c0 {3,T} - -C2H3OX(63) -1 O u0 p2 c0 {2,S} {6,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} -3 C u0 p0 c0 {2,S} {7,T} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {1,S} -7 X u0 p0 c0 {3,T} - -C3H4X2(64) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 C u0 p0 c0 {1,S} {9,T} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 X u0 p0 c0 {2,S} -9 X u0 p0 c0 {3,T} - -C3H2X2(65) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,T} -3 C u0 p0 c0 {1,S} {7,T} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,T} -7 X u0 p0 c0 {3,T} - -C2H2X(66) -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 C u0 p0 c0 {1,D} {5,D} +[Pt].N(59) +1 N u0 p1 c0 {2,S} {3,S} {4,S} +2 H u0 p0 c0 {1,S} 3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 {2,D} +5 X u0 p0 c0 -C2H3X(67) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,T} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,T} +CNX(60) +1 N u0 p1 c0 {2,T} +2 C u0 p0 c0 {1,T} {3,S} +3 X u0 p0 c0 {2,S} -C3H3X(68) -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 C u0 p0 c0 {1,D} {5,S} {6,S} -3 C u0 p0 c0 {1,S} {7,T} -4 H u0 p0 c0 {1,S} +CN[Pt](61) +1 N u0 p1 c0 {2,S} {6,S} {7,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 H u0 p0 c0 {2,S} +4 H u0 p0 c0 {2,S} 5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 {3,T} +6 H u0 p0 c0 {1,S} +7 X u0 p0 c0 {1,S} -C2HOX(69) -1 O u0 p2 c0 {2,D} -2 C u0 p0 c0 {1,D} {3,S} {4,S} -3 C u0 p0 c0 {2,S} {5,T} +CH2NOX(62) +1 O u0 p2 c0 {3,D} +2 N u0 p1 c0 {3,S} {4,S} {6,S} +3 C u0 p0 c0 {1,D} {2,S} {5,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {3,T} +5 H u0 p0 c0 {3,S} +6 X u0 p0 c0 {2,S} -C3H3X2(70) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {7,S} -2 C u0 p0 c0 {1,S} {3,D} {6,S} -3 C u0 p0 c0 {2,D} {8,D} +CH2OX(63) +1 O u0 p2 c0 {2,S} {4,S} +2 C u0 p0 c0 {1,S} {3,S} {5,D} +3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 {1,S} -8 X u0 p0 c0 {3,D} +5 X u0 p0 c0 {2,D} -C2OX(71) -1 O u0 p2 c0 {3,D} -2 C u0 p0 c0 {3,D} {4,D} -3 C u0 p0 c0 {1,D} {2,D} -4 X u0 p0 c0 {2,D} +C3H3X2(64) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {3,S} {7,D} +3 C u0 p0 c0 {2,S} {8,T} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 X u0 p0 c0 {2,D} +8 X u0 p0 c0 {3,T} -C3H7X(72) +C3H8X(65) 1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {11,S} -3 C u0 p0 c0 {1,S} {8,S} {9,S} {10,S} +2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} +3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {1,S} 6 H u0 p0 c0 {2,S} 7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {2,S} 9 H u0 p0 c0 {3,S} 10 H u0 p0 c0 {3,S} -11 X u0 p0 c0 {2,S} +11 H u0 p0 c0 {3,S} +12 X u0 p0 c0 -C2H5OX(73) -1 O u0 p2 c0 {2,S} {8,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} -3 C u0 p0 c0 {2,S} {6,S} {7,S} {9,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {3,S} +C3H5X(66) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {3,D} {9,S} +3 C u0 p0 c0 {2,D} {7,S} {8,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} 7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {1,S} -9 X u0 p0 c0 {3,S} +8 H u0 p0 c0 {3,S} +9 X u0 p0 c0 {2,S} -C3H6X2(74) +C3H6X2(67) 1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} 2 C u0 p0 c0 {1,S} {6,S} {7,S} {10,S} 3 C u0 p0 c0 {1,S} {8,S} {9,S} {11,S} @@ -703,207 +573,233 @@ C3H6X2(74) 10 X u0 p0 c0 {2,S} 11 X u0 p0 c0 {3,S} -C2H5X(75) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {8,S} -2 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} -3 H u0 p0 c0 {1,S} +C2H6OX(68) +1 O u0 p2 c0 {2,S} {3,S} +2 C u0 p0 c0 {1,S} {4,S} {5,S} {9,S} +3 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {3,S} +9 H u0 p0 c0 {2,S} +10 X u0 p0 c0 + +CH2NOX(69) +1 O u0 p2 c0 {3,S} {4,S} +2 N u0 p1 c0 {3,D} {5,S} +3 C u0 p0 c0 {1,S} {2,D} {6,S} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 X u0 p0 c0 {1,S} +6 X u0 p0 c0 {3,S} -C3H5X(76) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {9,S} -2 C u0 p0 c0 {1,S} {3,D} {6,S} -3 C u0 p0 c0 {2,D} {7,S} {8,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {3,S} -9 X u0 p0 c0 {1,S} +C3H6X2(70) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {10,S} +2 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} +3 C u0 p0 c0 {1,S} {8,S} {9,S} {11,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {3,S} +9 H u0 p0 c0 {3,S} +10 X u0 p0 c0 {1,S} +11 X u0 p0 c0 {3,S} + +CH2X(71) +1 C u0 p0 c0 {2,S} {3,S} {4,D} +2 H u0 p0 c0 {1,S} +3 H u0 p0 c0 {1,S} +4 X u0 p0 c0 {1,D} -C2H3OX(77) +C2HOX(72) 1 O u0 p2 c0 {3,D} -2 C u0 p0 c0 {3,S} {4,S} {5,S} {7,S} -3 C u0 p0 c0 {1,D} {2,S} {6,S} +2 C u0 p0 c0 {3,D} {4,S} {5,S} +3 C u0 p0 c0 {1,D} {2,D} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {3,S} -7 X u0 p0 c0 {2,S} +5 X u0 p0 c0 {2,S} -NC[Pt](78) -1 N u0 p1 c0 {2,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {7,S} -3 H u0 p0 c0 {2,S} +C3HX3(73) +1 C u0 p0 c0 {2,S} {3,S} {5,D} +2 C u0 p0 c0 {1,S} {4,S} {6,D} +3 C u0 p0 c0 {1,S} {7,T} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 X u0 p0 c0 {2,S} +5 X u0 p0 c0 {1,D} +6 X u0 p0 c0 {2,D} +7 X u0 p0 c0 {3,T} -CH3OX(79) -1 O u0 p2 c0 {2,S} {5,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {6,S} +CH3NX(74) +1 N u0 p1 c0 {2,S} {6,D} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} 3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 {1,D} -C3H4X2(80) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {8,S} -2 C u0 p0 c0 {1,S} {3,D} {9,S} -3 C u0 p0 c0 {2,D} {6,S} {7,S} +N2OX(75) +1 O u0 p2 c0 {3,D} +2 N u0 p1 c0 {3,S} {4,D} +3 N u0 p1 c0 {1,D} {2,S} +4 X u0 p0 c0 {2,D} + +CHNOX2(76) +1 O u0 p2 c0 {3,D} +2 N u0 p1 c0 {3,S} {4,S} {5,S} +3 C u0 p0 c0 {1,D} {2,S} {6,S} +4 H u0 p0 c0 {2,S} +5 X u0 p0 c0 {2,S} +6 X u0 p0 c0 {3,S} + +C3H5X(77) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {3,D} {7,S} +3 C u0 p0 c0 {2,D} {8,S} {9,S} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {3,S} -7 H u0 p0 c0 {3,S} -8 X u0 p0 c0 {1,S} -9 X u0 p0 c0 {2,S} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {3,S} +9 X u0 p0 c0 {3,S} -C2H4X2(81) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {7,S} -2 C u0 p0 c0 {1,S} {5,S} {6,S} {8,S} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {1,S} +OX(78) +1 O u0 p2 c0 {2,D} +2 X u0 p0 c0 {1,D} + +C2H3OX(79) +1 O u0 p2 c0 {3,D} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 C u0 p0 c0 {1,D} {2,S} {7,S} +4 H u0 p0 c0 {2,S} 5 H u0 p0 c0 {2,S} 6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 {1,S} -8 X u0 p0 c0 {2,S} +7 X u0 p0 c0 {3,S} -C3H5X3(82) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {9,S} -2 C u0 p0 c0 {1,S} {5,S} {6,S} {10,S} -3 C u0 p0 c0 {1,S} {7,S} {8,S} {11,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {3,S} -9 X u0 p0 c0 {1,S} -10 X u0 p0 c0 {2,S} -11 X u0 p0 c0 {3,S} +CX(80) +1 C u0 p0 c0 {2,Q} +2 X u0 p0 c0 {1,Q} -C2H3X2(83) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {6,S} -2 C u0 p0 c0 {1,S} {5,S} {7,D} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {1,S} -7 X u0 p0 c0 {2,D} +CO2X(81) +1 O u0 p2 c0 {3,D} +2 O u0 p2 c0 {3,D} +3 C u0 p0 c0 {1,D} {2,D} +4 X u0 p0 c0 -C2H3OX2(84) -1 O u0 p2 c0 {3,S} {6,S} -2 C u0 p0 c0 {3,S} {4,S} {5,S} {7,S} -3 C u0 p0 c0 {1,S} {2,S} {8,D} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {1,S} -7 X u0 p0 c0 {2,S} -8 X u0 p0 c0 {3,D} +H2X(82) +1 H u0 p0 c0 {2,S} +2 H u0 p0 c0 {1,S} +3 X u0 p0 c0 -CH3NX2(85) -1 N u0 p1 c0 {2,S} {5,S} {7,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {6,S} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,S} -7 X u0 p0 c0 {1,S} +C2H6N2OX(83) +1 O u0 p2 c0 {3,D} +2 N u0 p1 c0 {3,S} {4,S} {5,S} +3 N u0 p1 c0 {1,D} {2,S} +4 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S} +5 C u0 p0 c0 {2,S} {9,S} {10,S} {11,S} +6 H u0 p0 c0 {4,S} +7 H u0 p0 c0 {4,S} +8 H u0 p0 c0 {4,S} +9 H u0 p0 c0 {5,S} +10 H u0 p0 c0 {5,S} +11 H u0 p0 c0 {5,S} +12 X u0 p0 c0 -CH2NX2(86) -1 N u0 p1 c0 {2,S} {6,D} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {2,S} -6 X u0 p0 c0 {1,D} +O2X2(84) +1 O u0 p2 c0 {2,S} {3,S} +2 O u0 p2 c0 {1,S} {4,S} +3 X u0 p0 c0 {1,S} +4 X u0 p0 c0 {2,S} + +CH4N2OX(85) +1 O u0 p2 c0 {2,S} {8,S} +2 N u0 p0 c+1 {1,S} {3,S} {9,D} +3 N u0 p2 c-1 {2,S} {4,S} +4 C u0 p0 c0 {3,S} {5,S} {6,S} {7,S} +5 H u0 p0 c0 {4,S} +6 H u0 p0 c0 {4,S} +7 H u0 p0 c0 {4,S} +8 H u0 p0 c0 {1,S} +9 X u0 p0 c0 {2,D} -CH2OX2(87) -1 O u0 p2 c0 {2,S} {6,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +H3NOX(86) +1 O u0 p2 c0 {2,S} {5,S} +2 N u0 p1 c0 {1,S} {3,S} {4,S} 3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {2,S} -6 X u0 p0 c0 {1,S} - -CH2X(88) -1 C u0 p0 c0 {2,S} {3,S} {4,D} -2 H u0 p0 c0 {1,S} -3 H u0 p0 c0 {1,S} -4 X u0 p0 c0 {1,D} +5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 -CH3X(89) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 H u0 p0 c0 {1,S} +C2H4X2(87) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {7,S} +2 C u0 p0 c0 {1,S} {5,S} {6,S} {8,S} 3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 {1,S} - -C3H3X(90) -1 C u0 p0 c0 {3,D} {4,S} {7,S} -2 C u0 p0 c0 {3,D} {5,S} {6,S} -3 C u0 p0 c0 {1,D} {2,D} -4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {2,S} 6 H u0 p0 c0 {2,S} 7 X u0 p0 c0 {1,S} +8 X u0 p0 c0 {2,S} -C3H6X(91) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 C u0 p0 c0 {1,S} {9,S} {10,D} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {3,S} -10 X u0 p0 c0 {3,D} - -C3H5X2(92) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {9,S} -3 C u0 p0 c0 {1,S} {8,S} {10,D} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {3,S} -9 X u0 p0 c0 {2,S} -10 X u0 p0 c0 {3,D} +CH3NOX(88) +1 O u0 p2 c0 {3,D} +2 N u0 p1 c0 {3,S} {5,S} {6,S} +3 C u0 p0 c0 {1,D} {2,S} {4,S} +4 H u0 p0 c0 {3,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 -C3H4X2(93) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {8,D} -3 C u0 p0 c0 {1,S} {7,S} {9,D} +C3H3X3(89) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {7,S} +2 C u0 p0 c0 {1,S} {5,S} {8,D} +3 C u0 p0 c0 {1,S} {6,S} {9,D} 4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {3,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {3,S} +7 X u0 p0 c0 {1,S} 8 X u0 p0 c0 {2,D} 9 X u0 p0 c0 {3,D} -C3H3X2(94) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,D} -3 C u0 p0 c0 {1,S} {8,T} +CHOX2(90) +1 O u0 p2 c0 {2,S} {5,S} +2 C u0 p0 c0 {1,S} {3,S} {4,D} +3 H u0 p0 c0 {2,S} +4 X u0 p0 c0 {2,D} +5 X u0 p0 c0 {1,S} + +CHNX(91) +1 N u0 p1 c0 {2,D} {3,S} +2 C u0 p0 c0 {1,D} {4,D} +3 H u0 p0 c0 {1,S} +4 X u0 p0 c0 {2,D} + +C3H3X2(92) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {7,S} +2 C u0 p0 c0 {1,S} {3,D} {6,S} +3 C u0 p0 c0 {2,D} {8,D} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {1,S} 6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 {1,S} +8 X u0 p0 c0 {3,D} + +C3H2X3(93) +1 C u0 p0 c0 {2,S} {3,S} {6,D} +2 C u0 p0 c0 {1,S} {4,S} {7,D} +3 C u0 p0 c0 {1,S} {5,S} {8,D} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {3,S} +6 X u0 p0 c0 {1,D} 7 X u0 p0 c0 {2,D} -8 X u0 p0 c0 {3,T} +8 X u0 p0 c0 {3,D} -C2H3X(95) -1 C u0 p0 c0 {2,D} {3,S} {6,S} -2 C u0 p0 c0 {1,D} {4,S} {5,S} +C.[Pt](94) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 H u0 p0 c0 {1,S} 3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 -C2H4X(96) +C2H4X(95) 1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} 2 C u0 p0 c0 {1,S} {6,S} {7,D} 3 H u0 p0 c0 {1,S} @@ -912,28 +808,24 @@ C2H4X(96) 6 H u0 p0 c0 {2,S} 7 X u0 p0 c0 {2,D} -C3H4X(97) -1 C u0 p0 c0 {2,S} {3,D} {4,S} -2 C u0 p0 c0 {1,S} {5,S} {8,D} -3 C u0 p0 c0 {1,D} {6,S} {7,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {3,S} -7 H u0 p0 c0 {3,S} -8 X u0 p0 c0 {2,D} +CHO2X(96) +1 O u0 p2 c0 {3,S} {5,S} +2 O u0 p2 c0 {3,D} +3 C u0 p0 c0 {1,S} {2,D} {4,S} +4 H u0 p0 c0 {3,S} +5 X u0 p0 c0 {1,S} -C3H5X(98) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {3,D} {7,S} -3 C u0 p0 c0 {2,D} {8,S} {9,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {3,S} -9 X u0 p0 c0 {3,S} +C2H4OX(97) +1 O u0 p2 c0 {3,S} {7,S} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 C u0 p0 c0 {1,S} {2,S} {8,D} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {1,S} +8 X u0 p0 c0 {3,D} -C2H2OX(99) +C2H2OX(98) 1 O u0 p2 c0 {3,D} 2 C u0 p0 c0 {3,S} {4,S} {6,D} 3 C u0 p0 c0 {1,D} {2,S} {5,S} @@ -941,109 +833,45 @@ C2H2OX(99) 5 H u0 p0 c0 {3,S} 6 X u0 p0 c0 {2,D} -C3H4X2(100) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {8,S} -2 C u0 p0 c0 {1,S} {3,D} {6,S} -3 C u0 p0 c0 {2,D} {7,S} {9,S} +C3H4X2(99) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {8,S} +2 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} +3 C u0 p0 c0 {1,S} {9,T} 4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} 6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {2,S} 8 X u0 p0 c0 {1,S} -9 X u0 p0 c0 {3,S} - -C3H3X2(101) -1 C u0 p0 c0 {2,S} {3,D} {4,S} -2 C u0 p0 c0 {1,S} {5,S} {7,D} -3 C u0 p0 c0 {1,D} {6,S} {8,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {3,S} -7 X u0 p0 c0 {2,D} -8 X u0 p0 c0 {3,S} - -C3H2X2(102) -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 C u0 p0 c0 {1,D} {5,S} {6,S} -3 C u0 p0 c0 {1,S} {7,T} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {2,S} -7 X u0 p0 c0 {3,T} +9 X u0 p0 c0 {3,T} -C2H2OX2(103) -1 O u0 p2 c0 {2,S} {7,S} -2 C u0 p0 c0 {1,S} {3,D} {4,S} -3 C u0 p0 c0 {2,D} {5,S} {6,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {3,S} -6 X u0 p0 c0 {3,S} -7 X u0 p0 c0 {1,S} +CNOX(100) +1 O u0 p2 c0 {2,D} +2 N u0 p1 c0 {1,D} {3,S} +3 C u0 p0 c0 {2,S} {4,T} +4 X u0 p0 c0 {3,T} -C2HOX(104) -1 O u0 p2 c0 {3,D} -2 C u0 p0 c0 {3,D} {4,S} {5,S} -3 C u0 p0 c0 {1,D} {2,D} +CH5NX(101) +1 N u0 p1 c0 {2,S} {6,S} {7,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {2,S} - -C3H2X2(105) -1 C u0 p0 c0 {3,D} {4,S} {6,S} -2 C u0 p0 c0 {3,D} {5,S} {7,S} -3 C u0 p0 c0 {1,D} {2,D} -4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {1,S} -7 X u0 p0 c0 {2,S} - -C3HX2(106) -1 C u0 p0 c0 {2,D} {4,S} {5,S} -2 C u0 p0 c0 {1,D} {3,D} -3 C u0 p0 c0 {2,D} {6,D} -4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 {1,S} -6 X u0 p0 c0 {3,D} - -CH3NX(107) -1 N u0 p1 c0 {2,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {3,S} {6,D} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,D} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {1,S} +8 X u0 p0 c0 -CH2NX(108) +HN2X(102) 1 N u0 p1 c0 {2,D} {4,S} -2 C u0 p0 c0 {1,D} {3,S} {5,S} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 {2,S} - -CH2OX(109) -1 O u0 p2 c0 {2,S} {4,S} -2 C u0 p0 c0 {1,S} {3,S} {5,D} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 {2,D} - -CHOX(110) -1 O u0 p2 c0 {2,D} -2 C u0 p0 c0 {1,D} {3,S} {4,S} +2 N u0 p1 c0 {1,D} {3,S} 3 H u0 p0 c0 {2,S} -4 X u0 p0 c0 {2,S} +4 X u0 p0 c0 {1,S} -C3H4X2(111) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {3,D} {8,S} -3 C u0 p0 c0 {2,D} {7,S} {9,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {3,S} -8 X u0 p0 c0 {2,S} -9 X u0 p0 c0 {3,S} +N2X(103) +1 N u0 p0 c+1 {2,D} {3,D} +2 N u0 p2 c-1 {1,D} +3 X u0 p0 c0 {1,D} -C3H5X2(112) +C3H5X2(104) 1 C u0 p0 c0 {2,S} {3,S} {4,S} {9,S} 2 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} 3 C u0 p0 c0 {1,S} {8,S} {10,D} @@ -1055,129 +883,103 @@ C3H5X2(112) 9 X u0 p0 c0 {1,S} 10 X u0 p0 c0 {3,D} -C3H3X3(113) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {7,S} -2 C u0 p0 c0 {1,S} {5,S} {8,D} -3 C u0 p0 c0 {1,S} {6,S} {9,D} +C2H3OX(105) +1 O u0 p2 c0 {2,S} {7,S} +2 C u0 p0 c0 {1,S} {3,D} {4,S} +3 C u0 p0 c0 {2,D} {5,S} {6,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {3,S} +7 X u0 p0 c0 {1,S} + +CH2N2X3(106) +1 N u0 p1 c0 {3,S} {4,S} {7,S} +2 N u0 p1 c0 {3,S} {5,S} {8,S} +3 C u0 p0 c0 {1,S} {2,S} {6,D} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {3,S} +6 X u0 p0 c0 {3,D} 7 X u0 p0 c0 {1,S} -8 X u0 p0 c0 {2,D} -9 X u0 p0 c0 {3,D} +8 X u0 p0 c0 {2,S} + +C3H5X(107) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {9,S} +2 C u0 p0 c0 {1,S} {3,D} {6,S} +3 C u0 p0 c0 {2,D} {7,S} {8,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {3,S} +9 X u0 p0 c0 {1,S} -C2H2X2(114) -1 C u0 p0 c0 {2,S} {3,S} {5,D} -2 C u0 p0 c0 {1,S} {4,S} {6,D} -3 H u0 p0 c0 {1,S} +CHNOX2(108) +1 O u0 p2 c0 {3,S} {6,S} +2 N u0 p1 c0 {3,D} {4,S} +3 C u0 p0 c0 {1,S} {2,D} {5,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {1,D} -6 X u0 p0 c0 {2,D} +5 X u0 p0 c0 {3,S} +6 X u0 p0 c0 {1,S} -C2HOX2(115) +CH2NOX(109) 1 O u0 p2 c0 {3,D} -2 C u0 p0 c0 {3,S} {4,S} {5,D} +2 N u0 p1 c0 {3,S} {4,S} {5,S} 3 C u0 p0 c0 {1,D} {2,S} {6,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {2,D} +5 H u0 p0 c0 {2,S} 6 X u0 p0 c0 {3,S} -C3H2X3(116) -1 C u0 p0 c0 {2,S} {3,S} {6,D} -2 C u0 p0 c0 {1,S} {4,S} {7,D} -3 C u0 p0 c0 {1,S} {5,S} {8,D} -4 H u0 p0 c0 {2,S} +C2H4O2X(110) +1 O u0 p2 c0 {3,S} {4,S} +2 O u0 p2 c0 {4,D} +3 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} +4 C u0 p0 c0 {1,S} {2,D} {8,S} 5 H u0 p0 c0 {3,S} -6 X u0 p0 c0 {1,D} -7 X u0 p0 c0 {2,D} -8 X u0 p0 c0 {3,D} - -C3HX3(117) -1 C u0 p0 c0 {2,S} {3,S} {5,D} -2 C u0 p0 c0 {1,S} {4,S} {6,D} -3 C u0 p0 c0 {1,S} {7,T} -4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {1,D} -6 X u0 p0 c0 {2,D} -7 X u0 p0 c0 {3,T} - -C2HX2(118) -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 C u0 p0 c0 {1,D} {5,D} -3 H u0 p0 c0 {1,S} -4 X u0 p0 c0 {1,S} -5 X u0 p0 c0 {2,D} - -CH2NX2(119) -1 N u0 p1 c0 {2,S} {4,S} {6,S} -2 C u0 p0 c0 {1,S} {3,S} {5,D} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 {2,D} -6 X u0 p0 c0 {1,S} +6 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {4,S} +9 X u0 p0 c0 -CHNX2(120) -1 N u0 p1 c0 {2,S} {5,D} -2 C u0 p0 c0 {1,S} {3,S} {4,D} -3 H u0 p0 c0 {2,S} -4 X u0 p0 c0 {2,D} -5 X u0 p0 c0 {1,D} +CH4N2OX2(111) +1 O u0 p2 c0 {3,S} {8,S} +2 N u0 p1 c0 {3,S} {4,S} {9,S} +3 N u0 p1 c0 {1,S} {2,S} {10,S} +4 C u0 p0 c0 {2,S} {5,S} {6,S} {7,S} +5 H u0 p0 c0 {4,S} +6 H u0 p0 c0 {4,S} +7 H u0 p0 c0 {4,S} +8 H u0 p0 c0 {1,S} +9 X u0 p0 c0 {2,S} +10 X u0 p0 c0 {3,S} -CHOX2(121) +H2NOX(112) 1 O u0 p2 c0 {2,S} {5,S} -2 C u0 p0 c0 {1,S} {3,S} {4,D} +2 N u0 p1 c0 {1,S} {3,S} {4,S} 3 H u0 p0 c0 {2,S} -4 X u0 p0 c0 {2,D} +4 H u0 p0 c0 {2,S} 5 X u0 p0 c0 {1,S} -CHX(122) -1 C u0 p0 c0 {2,S} {3,T} -2 H u0 p0 c0 {1,S} -3 X u0 p0 c0 {1,T} - -CH2NX(123) -1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 C u0 p0 c0 {1,S} {5,T} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 {2,T} - -CHNX(124) -1 N u0 p1 c0 {2,D} {3,S} -2 C u0 p0 c0 {1,D} {4,D} -3 H u0 p0 c0 {1,S} -4 X u0 p0 c0 {2,D} - -CNOX(125) -1 O u0 p2 c0 {2,D} -2 N u0 p1 c0 {1,D} {3,S} -3 C u0 p0 c0 {2,S} {4,T} -4 X u0 p0 c0 {3,T} +HN2OX(113) +1 O u0 p3 c-1 {2,S} +2 N u0 p0 c+1 {1,S} {3,D} {5,S} +3 N u0 p1 c0 {2,D} {4,S} +4 H u0 p0 c0 {3,S} +5 X u0 p0 c0 {2,S} -CNX(126) -1 N u0 p1 c0 {2,T} -2 C u0 p0 c0 {1,T} {3,S} -3 X u0 p0 c0 {2,S} +CNOX(114) +1 O u0 p2 c0 {3,D} +2 N u0 p1 c0 {3,D} {4,S} +3 C u0 p0 c0 {1,D} {2,D} +4 X u0 p0 c0 {2,S} -CHOX(127) -1 O u0 p2 c0 {2,S} {3,S} -2 C u0 p0 c0 {1,S} {4,T} +C2H2X(115) +1 C u0 p0 c0 {2,D} {3,S} {4,S} +2 C u0 p0 c0 {1,D} {5,D} 3 H u0 p0 c0 {1,S} -4 X u0 p0 c0 {2,T} - -CHO2X(128) -1 O u0 p2 c0 {3,S} {4,S} -2 O u0 p2 c0 {3,D} -3 C u0 p0 c0 {1,S} {2,D} {5,S} 4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 {3,S} - -COX(129) -1 O u0 p2 c0 {2,D} -2 C u0 p0 c0 {1,D} {3,D} -3 X u0 p0 c0 {2,D} +5 X u0 p0 c0 {2,D} -C3H2X2(130) +C3H2X2(116) 1 C u0 p0 c0 {2,D} {3,S} {6,S} 2 C u0 p0 c0 {1,D} {4,S} {5,S} 3 C u0 p0 c0 {1,S} {7,T} @@ -1186,245 +988,495 @@ C3H2X2(130) 6 X u0 p0 c0 {1,S} 7 X u0 p0 c0 {3,T} -C3H3X2(131) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {3,S} {7,D} -3 C u0 p0 c0 {2,S} {8,T} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 X u0 p0 c0 {2,D} -8 X u0 p0 c0 {3,T} +C2H3OX(117) +1 O u0 p2 c0 {3,D} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {7,S} +3 C u0 p0 c0 {1,D} {2,S} {6,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {3,S} +7 X u0 p0 c0 {2,S} -C2H2X2(132) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,T} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {1,S} +NOX(118) +1 O u0 p2 c0 {2,D} +2 N u0 p1 c0 {1,D} {3,S} +3 X u0 p0 c0 {2,S} + +C2H6O2X(119) +1 O u0 p2 c0 {3,S} {4,S} +2 O u0 p2 c0 {3,S} {10,S} +3 C u0 p0 c0 {1,S} {2,S} {5,S} {6,S} +4 C u0 p0 c0 {1,S} {7,S} {8,S} {9,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {4,S} +8 H u0 p0 c0 {4,S} +9 H u0 p0 c0 {4,S} +10 H u0 p0 c0 {2,S} +11 X u0 p0 c0 + +CO3X2(120) +1 O u0 p2 c0 {4,S} {5,S} +2 O u0 p2 c0 {4,S} {6,S} +3 O u0 p2 c0 {4,D} +4 C u0 p0 c0 {1,S} {2,S} {3,D} 5 X u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,T} +6 X u0 p0 c0 {2,S} + +C2H2OX(121) +1 O u0 p2 c0 {3,D} +2 C u0 p0 c0 {3,D} {4,S} {5,S} +3 C u0 p0 c0 {1,D} {2,D} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 + +HOX(122) +1 O u0 p2 c0 {2,S} {3,S} +2 H u0 p0 c0 {1,S} +3 X u0 p0 c0 {1,S} -C3H4X2(133) +C2H5X(123) 1 C u0 p0 c0 {2,S} {3,S} {4,S} {8,S} 2 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} -3 C u0 p0 c0 {1,S} {9,T} +3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {2,S} 6 H u0 p0 c0 {2,S} 7 H u0 p0 c0 {2,S} 8 X u0 p0 c0 {1,S} -9 X u0 p0 c0 {3,T} -C3HX3(134) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,T} -3 C u0 p0 c0 {1,S} {7,T} -4 H u0 p0 c0 {1,S} +CH4NX(124) +1 N u0 p1 c0 {2,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {7,S} +3 H u0 p0 c0 {2,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 X u0 p0 c0 {2,S} + +NO2X2(125) +1 O u0 p2 c0 {3,S} {5,S} +2 O u0 p3 c-1 {3,S} +3 N u0 p0 c+1 {1,S} {2,S} {4,D} +4 X u0 p0 c0 {3,D} 5 X u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,T} -7 X u0 p0 c0 {3,T} -C2OX2(135) -1 O u0 p2 c0 {2,D} -2 C u0 p0 c0 {1,D} {3,S} {4,S} -3 C u0 p0 c0 {2,S} {5,T} -4 X u0 p0 c0 {2,S} -5 X u0 p0 c0 {3,T} +C2H4OX(126) +1 O u0 p2 c0 {3,D} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 C u0 p0 c0 {1,D} {2,S} {7,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {3,S} +8 X u0 p0 c0 -C2X2(136) -1 C u0 p0 c0 {2,D} {3,D} -2 C u0 p0 c0 {1,D} {4,D} -3 X u0 p0 c0 {1,D} +N2OX2(127) +1 O u0 p3 c-1 {2,S} +2 N u0 p0 c+1 {1,S} {3,S} {4,D} +3 N u0 p1 c0 {2,S} {5,D} 4 X u0 p0 c0 {2,D} +5 X u0 p0 c0 {3,D} -CX(137) -1 C u0 p0 c0 {2,Q} -2 X u0 p0 c0 {1,Q} - -[PtH](138) -1 H u0 p0 c0 {2,S} -2 X u0 p0 c0 {1,S} +C2H6OX(128) +1 O u0 p2 c0 {2,S} {9,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {3,S} +9 H u0 p0 c0 {1,S} +10 X u0 p0 c0 -CH2NX(139) -1 N u0 p1 c0 {2,D} {5,S} -2 C u0 p0 c0 {1,D} {3,S} {4,S} -3 H u0 p0 c0 {2,S} +CHN2X(129) +1 N u0 p1 c0 {3,D} {5,S} +2 N u0 p1 c0 {3,D} {4,S} +3 C u0 p0 c0 {1,D} {2,D} 4 H u0 p0 c0 {2,S} 5 X u0 p0 c0 {1,S} -CH3NX(140) -1 N u0 p1 c0 {2,S} {6,D} +CH3N2X(130) +1 N u0 p1 c0 {2,D} {3,S} +2 N u0 p1 c0 {1,D} {7,S} +3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S} +4 H u0 p0 c0 {3,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {3,S} +7 X u0 p0 c0 {2,S} + +CH3OX(131) +1 O u0 p2 c0 {2,S} {6,S} 2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} 3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {1,D} +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 {1,S} + +C2H5OX(132) +1 O u0 p2 c0 {2,S} {8,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {9,S} +3 C u0 p0 c0 {2,S} {5,S} {6,S} {7,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {1,S} +9 X u0 p0 c0 {2,S} + +CH3NX2(133) +1 N u0 p1 c0 {2,S} {5,S} {7,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {6,S} +3 H u0 p0 c0 {2,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,S} +7 X u0 p0 c0 {1,S} -CHN2X(141) -1 N u0 p1 c0 {3,D} {5,S} -2 N u0 p1 c0 {3,D} {4,S} -3 C u0 p0 c0 {1,D} {2,D} +CH4N2OX(134) +1 O u0 p2 c0 {3,S} {8,S} +2 N u0 p0 c+1 {3,S} {4,S} {9,D} +3 N u0 p2 c-1 {1,S} {2,S} +4 C u0 p0 c0 {2,S} {5,S} {6,S} {7,S} +5 H u0 p0 c0 {4,S} +6 H u0 p0 c0 {4,S} +7 H u0 p0 c0 {4,S} +8 H u0 p0 c0 {1,S} +9 X u0 p0 c0 {2,D} + +H2N2X2(135) +1 N u0 p1 c0 {2,S} {3,S} {5,S} +2 N u0 p1 c0 {1,S} {4,S} {6,S} +3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {2,S} 5 X u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,S} -CN2X(142) -1 N u0 p1 c0 {3,S} {4,D} -2 N u0 p1 c0 {3,T} -3 C u0 p0 c0 {1,S} {2,T} -4 X u0 p0 c0 {1,D} +C3H5OX(136) +1 O u0 p2 c0 {4,D} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 C u0 p0 c0 {2,S} {7,S} {8,S} {9,S} +4 C u0 p0 c0 {1,D} {2,S} {10,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {3,S} +9 H u0 p0 c0 {3,S} +10 X u0 p0 c0 {4,S} -CNOX(143) -1 O u0 p2 c0 {3,D} -2 N u0 p1 c0 {3,D} {4,S} -3 C u0 p0 c0 {1,D} {2,D} -4 X u0 p0 c0 {2,S} +C3H4X2(137) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,S} {8,D} +3 C u0 p0 c0 {1,S} {7,S} {9,D} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {3,S} +8 X u0 p0 c0 {2,D} +9 X u0 p0 c0 {3,D} + +CH2O3X(138) +1 O u0 p2 c0 {4,S} {5,S} +2 O u0 p2 c0 {4,S} {6,S} +3 O u0 p2 c0 {4,D} +4 C u0 p0 c0 {1,S} {2,S} {3,D} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 -N[Pt](144) +HN2X2(139) 1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 H u0 p0 c0 {1,S} +2 N u0 p1 c0 {1,S} {5,D} 3 H u0 p0 c0 {1,S} 4 X u0 p0 c0 {1,S} +5 X u0 p0 c0 {2,D} -CH4NX(145) -1 N u0 p1 c0 {2,S} {6,S} {7,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {1,S} -7 X u0 p0 c0 {1,S} - -CH2NOX(146) +C2H2OX2(140) 1 O u0 p2 c0 {3,D} -2 N u0 p1 c0 {3,S} {4,S} {6,S} -3 C u0 p0 c0 {1,D} {2,S} {5,S} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 C u0 p0 c0 {1,D} {2,S} {7,S} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {3,S} +5 H u0 p0 c0 {2,S} 6 X u0 p0 c0 {2,S} +7 X u0 p0 c0 {3,S} -H3N2X(147) -1 N u0 p1 c0 {2,S} {3,S} {6,S} -2 N u0 p1 c0 {1,S} {4,S} {5,S} -3 H u0 p0 c0 {1,S} +C2H3OX(141) +1 O u0 p2 c0 {2,S} {6,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 C u0 p0 c0 {2,S} {7,T} 4 H u0 p0 c0 {2,S} 5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {1,S} - -HN2OX(148) -1 O u0 p2 c0 {3,D} -2 N u0 p1 c0 {3,S} {4,S} {5,S} -3 N u0 p1 c0 {1,D} {2,S} -4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {2,S} +6 H u0 p0 c0 {1,S} +7 X u0 p0 c0 {3,T} -H2NOX(149) +H2NOX(142) 1 O u0 p2 c0 {2,S} {4,S} 2 N u0 p1 c0 {1,S} {3,S} {5,S} 3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {1,S} 5 X u0 p0 c0 {2,S} -CHNOX2(150) +C3H2X2(143) +1 C u0 p0 c0 {2,D} {3,S} {4,S} +2 C u0 p0 c0 {1,D} {5,S} {6,S} +3 C u0 p0 c0 {1,S} {7,T} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 {2,S} +7 X u0 p0 c0 {3,T} + +C2HOX2(144) 1 O u0 p2 c0 {3,D} -2 N u0 p1 c0 {3,S} {4,S} {5,S} +2 C u0 p0 c0 {3,S} {4,S} {5,D} 3 C u0 p0 c0 {1,D} {2,S} {6,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {2,S} +5 X u0 p0 c0 {2,D} 6 X u0 p0 c0 {3,S} -CH2N2X3(151) -1 N u0 p1 c0 {3,S} {4,S} {7,S} -2 N u0 p1 c0 {3,S} {5,S} {8,S} -3 C u0 p0 c0 {1,S} {2,S} {6,D} +N2OX(145) +1 O u0 p2 c0 {2,D} +2 N u0 p0 c+1 {1,D} {3,D} +3 N u0 p2 c-1 {2,D} +4 X u0 p0 c0 + +C3H4X2(146) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {8,S} +2 C u0 p0 c0 {1,S} {3,D} {6,S} +3 C u0 p0 c0 {2,D} {7,S} {9,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {3,S} +8 X u0 p0 c0 {1,S} +9 X u0 p0 c0 {3,S} + +C3H3X2(147) +1 C u0 p0 c0 {2,S} {3,D} {4,S} +2 C u0 p0 c0 {1,S} {5,S} {7,D} +3 C u0 p0 c0 {1,D} {6,S} {8,S} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {3,D} -7 X u0 p0 c0 {1,S} -8 X u0 p0 c0 {2,S} +6 H u0 p0 c0 {3,S} +7 X u0 p0 c0 {2,D} +8 X u0 p0 c0 {3,S} -H2N2X2(152) -1 N u0 p1 c0 {2,S} {3,S} {5,S} -2 N u0 p1 c0 {1,S} {4,S} {6,S} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {2,S} +C2H3OX(148) +1 O u0 p2 c0 {2,S} {6,S} +2 C u0 p0 c0 {1,S} {3,D} {7,S} +3 C u0 p0 c0 {2,D} {4,S} {5,S} +4 H u0 p0 c0 {3,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {1,S} +7 X u0 p0 c0 {2,S} + +CHO2X(149) +1 O u0 p2 c0 {3,S} {4,S} +2 O u0 p2 c0 {3,D} +3 C u0 p0 c0 {1,S} {2,D} {5,S} +4 H u0 p0 c0 {1,S} +5 X u0 p0 c0 {3,S} + +HNOX2(150) +1 O u0 p2 c0 {2,S} {5,S} +2 N u0 p1 c0 {1,S} {3,S} {4,S} +3 H u0 p0 c0 {2,S} +4 X u0 p0 c0 {2,S} 5 X u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,S} -HN2X2(153) -1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 N u0 p1 c0 {1,S} {5,D} -3 H u0 p0 c0 {1,S} -4 X u0 p0 c0 {1,S} -5 X u0 p0 c0 {2,D} +C3H5X2(151) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,S} {7,S} {9,S} +3 C u0 p0 c0 {1,S} {8,S} {10,D} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {3,S} +9 X u0 p0 c0 {2,S} +10 X u0 p0 c0 {3,D} -HNX(154) -1 N u0 p1 c0 {2,S} {3,D} +C3H4X2(152) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} +3 C u0 p0 c0 {1,S} {9,T} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} +8 X u0 p0 c0 {2,S} +9 X u0 p0 c0 {3,T} + +C3H6X(153) +1 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +2 C u0 p0 c0 {3,S} {7,S} {8,S} {9,S} +3 C u0 p0 c0 {1,S} {2,S} {10,D} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {2,S} +9 H u0 p0 c0 {2,S} +10 X u0 p0 c0 {3,D} + +H2OX(154) +1 O u0 p2 c0 {2,S} {3,S} 2 H u0 p0 c0 {1,S} -3 X u0 p0 c0 {1,D} +3 H u0 p0 c0 {1,S} +4 X u0 p0 c0 -CH3N2X(155) -1 N u0 p1 c0 {2,D} {3,S} -2 N u0 p1 c0 {1,D} {7,S} -3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S} +CN2X(155) +1 N u0 p1 c0 {3,S} {4,D} +2 N u0 p1 c0 {3,T} +3 C u0 p0 c0 {1,S} {2,T} +4 X u0 p0 c0 {1,D} + +C3H3X(156) +1 C u0 p0 c0 {3,D} {4,S} {7,S} +2 C u0 p0 c0 {3,D} {5,S} {6,S} +3 C u0 p0 c0 {1,D} {2,D} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 {1,S} + +CH3NX(157) +1 N u0 p1 c0 {2,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {3,S} {6,D} +3 H u0 p0 c0 {2,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,D} + +CH3O2X(158) +1 O u0 p2 c0 {3,S} {7,S} +2 O u0 p2 c0 {3,S} {6,S} +3 C u0 p0 c0 {1,S} {2,S} {4,S} {5,S} 4 H u0 p0 c0 {3,S} 5 H u0 p0 c0 {3,S} -6 H u0 p0 c0 {3,S} -7 X u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 {1,S} -H2N2X(156) -1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 N u0 p1 c0 {1,S} {5,D} +C3H3X2(159) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,S} {7,D} +3 C u0 p0 c0 {1,S} {8,T} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 {2,D} +8 X u0 p0 c0 {3,T} + +CHNOX(160) +1 O u0 p2 c0 {3,S} {4,S} +2 N u0 p1 c0 {3,T} +3 C u0 p0 c0 {1,S} {2,T} +4 H u0 p0 c0 {1,S} +5 X u0 p0 c0 + +CH3OX(161) +1 O u0 p2 c0 {2,S} {5,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {6,S} +3 H u0 p0 c0 {2,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,S} + +C3H2X2(162) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,T} +3 C u0 p0 c0 {1,S} {7,T} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,T} +7 X u0 p0 c0 {3,T} + +HNOX(163) +1 O u0 p2 c0 {2,S} {3,S} +2 N u0 p1 c0 {1,S} {4,D} 3 H u0 p0 c0 {1,S} +4 X u0 p0 c0 {2,D} + +CH2NX2(164) +1 N u0 p1 c0 {2,S} {4,S} {6,S} +2 C u0 p0 c0 {1,S} {3,S} {5,D} +3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {1,S} 5 X u0 p0 c0 {2,D} +6 X u0 p0 c0 {1,S} -HN2X(157) -1 N u0 p1 c0 {2,D} {4,S} -2 N u0 p1 c0 {1,D} {3,S} -3 H u0 p0 c0 {2,S} -4 X u0 p0 c0 {1,S} +C3H5X(165) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} +3 C u0 p0 c0 {1,S} {9,T} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {2,S} +9 X u0 p0 c0 {3,T} -NO2X(158) -1 O u0 p3 c-1 {3,S} -2 O u0 p2 c0 {3,D} -3 N u0 p0 c+1 {1,S} {2,D} {4,S} -4 X u0 p0 c0 {3,S} +NX(166) +1 N u0 p1 c0 {2,T} +2 X u0 p0 c0 {1,T} -HNOX(159) -1 O u0 p2 c0 {2,S} {3,S} -2 N u0 p1 c0 {1,S} {4,D} +CH3X(167) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 H u0 p0 c0 {1,S} 3 H u0 p0 c0 {1,S} -4 X u0 p0 c0 {2,D} - -NOX(160) -1 O u0 p2 c0 {2,D} -2 N u0 p1 c0 {1,D} {3,S} -3 X u0 p0 c0 {2,S} +4 H u0 p0 c0 {1,S} +5 X u0 p0 c0 {1,S} -CHN2X2(161) -1 N u0 p1 c0 {3,S} {6,D} -2 N u0 p1 c0 {3,D} {4,S} -3 C u0 p0 c0 {1,S} {2,D} {5,S} +H2N2OX(168) +1 O u0 p2 c0 {3,D} +2 N u0 p1 c0 {3,S} {4,S} {5,S} +3 N u0 p1 c0 {1,D} {2,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {3,S} -6 X u0 p0 c0 {1,D} +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 -CHNOX2(162) -1 O u0 p2 c0 {3,S} {4,S} -2 N u0 p1 c0 {3,S} {6,D} -3 C u0 p0 c0 {1,S} {2,S} {5,D} -4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 {3,D} -6 X u0 p0 c0 {2,D} +[PtH](169) +1 H u0 p0 c0 {2,S} +2 X u0 p0 c0 {1,S} -CNOX2(163) +HN2OX(170) 1 O u0 p2 c0 {3,D} -2 N u0 p1 c0 {3,S} {5,D} -3 C u0 p0 c0 {1,D} {2,S} {4,S} -4 X u0 p0 c0 {3,S} -5 X u0 p0 c0 {2,D} +2 N u0 p1 c0 {3,S} {4,S} {5,S} +3 N u0 p1 c0 {1,D} {2,S} +4 H u0 p0 c0 {2,S} +5 X u0 p0 c0 {2,S} + +C2OX(171) +1 O u0 p2 c0 {3,D} +2 C u0 p0 c0 {3,D} {4,D} +3 C u0 p0 c0 {1,D} {2,D} +4 X u0 p0 c0 {2,D} + +C3H5X3(172) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {9,S} +2 C u0 p0 c0 {1,S} {5,S} {6,S} {10,S} +3 C u0 p0 c0 {1,S} {7,S} {8,S} {11,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {3,S} +9 X u0 p0 c0 {1,S} +10 X u0 p0 c0 {2,S} +11 X u0 p0 c0 {3,S} -CHN2X3(164) +HNX(173) +1 N u0 p1 c0 {2,S} {3,D} +2 H u0 p0 c0 {1,S} +3 X u0 p0 c0 {1,D} + +N2X(174) +1 N u0 p1 c0 {2,T} +2 N u0 p1 c0 {1,T} +3 X u0 p0 c0 + +CHN2X3(175) 1 N u0 p1 c0 {3,S} {4,S} {6,S} 2 N u0 p1 c0 {3,S} {7,D} 3 C u0 p0 c0 {1,S} {2,S} {5,D} @@ -1433,129 +1485,113 @@ CHN2X3(164) 6 X u0 p0 c0 {1,S} 7 X u0 p0 c0 {2,D} -CH3N2X2(165) -1 N u0 p1 c0 {2,S} {3,S} {7,S} -2 N u0 p1 c0 {1,S} {8,D} -3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S} -4 H u0 p0 c0 {3,S} -5 H u0 p0 c0 {3,S} -6 H u0 p0 c0 {3,S} -7 X u0 p0 c0 {1,S} -8 X u0 p0 c0 {2,D} - -NX(166) -1 N u0 p1 c0 {2,T} -2 X u0 p0 c0 {1,T} - -CO3X2(167) -1 O u0 p2 c0 {4,S} {5,S} -2 O u0 p2 c0 {4,S} {6,S} -3 O u0 p2 c0 {4,D} -4 C u0 p0 c0 {1,S} {2,S} {3,D} -5 X u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,S} +C2H2X2(176) +1 C u0 p0 c0 {2,S} {3,S} {5,D} +2 C u0 p0 c0 {1,S} {4,S} {6,D} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {2,S} +5 X u0 p0 c0 {1,D} +6 X u0 p0 c0 {2,D} -CHO3X(168) -1 O u0 p2 c0 {4,S} {6,S} -2 O u0 p2 c0 {4,S} {5,S} -3 O u0 p2 c0 {4,D} -4 C u0 p0 c0 {1,S} {2,S} {3,D} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {1,S} +C3H7X(177) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {11,S} +2 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} +3 C u0 p0 c0 {1,S} {8,S} {9,S} {10,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {3,S} +9 H u0 p0 c0 {3,S} +10 H u0 p0 c0 {3,S} +11 X u0 p0 c0 {1,S} -C2H5OX(169) -1 O u0 p2 c0 {2,S} {9,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} -3 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S} -4 H u0 p0 c0 {2,S} +C3H4X(178) +1 C u0 p0 c0 {2,S} {3,D} {4,S} +2 C u0 p0 c0 {1,S} {5,S} {8,D} +3 C u0 p0 c0 {1,D} {6,S} {7,S} +4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {2,S} 6 H u0 p0 c0 {3,S} 7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {3,S} -9 X u0 p0 c0 {1,S} - -CH3O2X(170) -1 O u0 p2 c0 {3,S} {7,S} -2 O u0 p2 c0 {3,S} {6,S} -3 C u0 p0 c0 {1,S} {2,S} {4,S} {5,S} -4 H u0 p0 c0 {3,S} -5 H u0 p0 c0 {3,S} -6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 {1,S} +8 X u0 p0 c0 {2,D} -CH3OX(171) -1 O u0 p2 c0 {2,S} {6,S} +CH2NX2(179) +1 N u0 p1 c0 {2,S} {6,D} 2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} 3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {1,S} - -C2H3OX(172) -1 O u0 p2 c0 {2,S} {7,S} -2 C u0 p0 c0 {1,S} {3,D} {4,S} -3 C u0 p0 c0 {2,D} {5,S} {6,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {3,S} -6 H u0 p0 c0 {3,S} -7 X u0 p0 c0 {1,S} +5 X u0 p0 c0 {2,S} +6 X u0 p0 c0 {1,D} -HOX(173) -1 O u0 p2 c0 {2,S} {3,S} -2 H u0 p0 c0 {1,S} -3 X u0 p0 c0 {1,S} +C3H2X(180) +1 C u0 p0 c0 {2,D} {4,S} {5,S} +2 C u0 p0 c0 {1,D} {3,D} +3 C u0 p0 c0 {2,D} {6,D} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 {3,D} -H2NOX(174) -1 O u0 p2 c0 {2,S} {5,S} -2 N u0 p1 c0 {1,S} {3,S} {4,S} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {2,S} +C3HX2(181) +1 C u0 p0 c0 {2,D} {4,S} {5,S} +2 C u0 p0 c0 {1,D} {3,D} +3 C u0 p0 c0 {2,D} {6,D} +4 H u0 p0 c0 {1,S} 5 X u0 p0 c0 {1,S} +6 X u0 p0 c0 {3,D} -HO2X(175) -1 O u0 p2 c0 {2,S} {4,S} -2 O u0 p2 c0 {1,S} {3,S} -3 H u0 p0 c0 {2,S} -4 X u0 p0 c0 {1,S} +C3H4X2(182) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {3,D} {8,S} +3 C u0 p0 c0 {2,D} {7,S} {9,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {3,S} +8 X u0 p0 c0 {2,S} +9 X u0 p0 c0 {3,S} -CHNOX2(176) -1 O u0 p2 c0 {3,S} {6,S} -2 N u0 p1 c0 {3,D} {4,S} -3 C u0 p0 c0 {1,S} {2,D} {5,S} +C3H6X(183) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {3,D} {7,S} +3 C u0 p0 c0 {2,D} {8,S} {9,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {3,S} +9 H u0 p0 c0 {3,S} +10 X u0 p0 c0 + +H3N2X(184) +1 N u0 p1 c0 {2,S} {3,S} {6,S} +2 N u0 p1 c0 {1,S} {4,S} {5,S} +3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {3,S} +5 H u0 p0 c0 {2,S} 6 X u0 p0 c0 {1,S} -HNOX2(177) -1 O u0 p2 c0 {2,S} {5,S} -2 N u0 p1 c0 {1,S} {3,S} {4,S} -3 H u0 p0 c0 {2,S} -4 X u0 p0 c0 {2,S} -5 X u0 p0 c0 {1,S} - -NO2X2(178) -1 O u0 p2 c0 {3,S} {5,S} -2 O u0 p3 c-1 {3,S} -3 N u0 p0 c+1 {1,S} {2,S} {4,D} -4 X u0 p0 c0 {3,D} -5 X u0 p0 c0 {1,S} - -NO3X3(179) -1 O u0 p2 c0 {4,S} {5,S} -2 O u0 p2 c0 {4,S} {6,S} -3 O u0 p2 c0 {4,S} {7,S} -4 N u0 p1 c0 {1,S} {2,S} {3,S} -5 X u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,S} -7 X u0 p0 c0 {3,S} +C3H2X2(185) +1 C u0 p0 c0 {3,D} {4,S} {6,S} +2 C u0 p0 c0 {3,D} {5,S} {7,S} +3 C u0 p0 c0 {1,D} {2,D} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 {1,S} +7 X u0 p0 c0 {2,S} -O2X2(180) -1 O u0 p2 c0 {2,S} {3,S} -2 O u0 p2 c0 {1,S} {4,S} -3 X u0 p0 c0 {1,S} -4 X u0 p0 c0 {2,S} +NO2X(186) +1 O u0 p3 c-1 {3,S} +2 O u0 p2 c0 {3,D} +3 N u0 p0 c+1 {1,S} {2,D} {4,S} +4 X u0 p0 c0 {3,S} -OX(181) -1 O u0 p2 c0 {2,D} -2 X u0 p0 c0 {1,D} +C2H2OX2(187) +1 O u0 p2 c0 {2,S} {7,S} +2 C u0 p0 c0 {1,S} {3,D} {4,S} +3 C u0 p0 c0 {2,D} {5,S} {6,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {3,S} +6 X u0 p0 c0 {3,S} +7 X u0 p0 c0 {1,S} diff --git a/scripts/compile_BEEF_cov.ipynb b/scripts/compile_BEEF_cov.ipynb index 1c32df8efc..992e84b15a 100644 --- a/scripts/compile_BEEF_cov.ipynb +++ b/scripts/compile_BEEF_cov.ipynb @@ -20,6 +20,7 @@ "source": [ "import os\n", "import re\n", + "import sys\n", "import pickle\n", "import numpy as np\n", "import pandas as pd\n", @@ -44,7 +45,9 @@ "### - Download the repository containing the surface thermo calculations\n", "### - Set the `THERMO_DATA_PATH` variable\n", "\n", - "Unfortunately, the exact locations of these files might change as the repo gets updated, but we're looking for folder titled `beef-ensembles` which is full of files like XCHOO_bee.txt that contain the ensemble data\n", + "Unfortunately, the exact locations of these files might change as the repo gets updated, but we're looking for folder titled `beef-ensembles` which is full of files like XCHOO_bee.txt that contain the ensemble data. This is **Option A**.\n", + "\n", + "Alternatively, these values may be saved in Python dictionaries like `beefdict.py` https://github.com/kirkbadger18/thermo_kinetics_scripts/tree/main/new_workflow/examples/build_ensemble/data. This is **Option B**. This script contains examples for using both sources, but you should use whichever workflow corresponds to the latest updates in surfaceThermoPt111.\n", "\n", "### You can manually download the repository here: https://github.com/franklingoldsmith/thermo_kinetics_scripts or run the next cell" ] @@ -56,16 +59,16 @@ "metadata": {}, "outputs": [], "source": [ - "# These are the commands:\n", - "os.chdir(os.environ['HOME']) # assumes we will clone thermo_kinetics_scripts into our home folder\n", + "# # These are the commands:\n", + "# os.chdir(os.environ['HOME']) # assumes we will clone thermo_kinetics_scripts into our home folder\n", "\n", "THERMO_DATA_PATH = os.path.join(os.environ['HOME'], 'thermo_kinetics_scripts/beef-uq/thermo/beef-ensembles')\n", - "example_bee_file = os.path.join(THERMO_DATA_PATH, 'XH_bee.txt')\n", + "# example_bee_file = os.path.join(THERMO_DATA_PATH, 'XH_bee.txt')\n", "\n", - "if not os.path.exists(example_bee_file):\n", - " subprocess.check_call(['git', 'clone', 'https://github.com/franklingoldsmith/thermo_kinetics_scripts'])\n", + "# if not os.path.exists(example_bee_file):\n", + "# subprocess.check_call(['git', 'clone', 'https://github.com/franklingoldsmith/thermo_kinetics_scripts'])\n", "\n", - "assert os.path.exists(example_bee_file), 'either download failed or file structure of repo has changed'" + "# assert os.path.exists(example_bee_file), 'either download failed or file structure of repo has changed'" ] }, { @@ -81,128 +84,14298 @@ "id": "a19e590f-d5b0-40bf-ba6f-890d2f438d08", "metadata": {}, "source": [ - "### 1.1 Load the copy of surfaceThermoPt111.py in this repository to get the molecule structures" + "## **Option A:** XCHOO_bee.txt files \n", + "\n", + "### A1.1 Load the copy of surfaceThermoPt111.py in this repository to get the molecule structures" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "70f0f6c7-59f6-4747-9f59-2b147a11ee28", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from surfaceThermoPt111.py in /home/moon/thermo_kinetics_scripts/beef-uq/thermo/lib...\n" + ] + } + ], + "source": [ + "# load their thermo library\n", + "thermo_lib_file = os.path.join(os.environ['HOME'], 'thermo_kinetics_scripts/beef-uq/thermo/surfaceThermoPt111.py')\n", + "\n", + "# RMG expects the library in its own directory\n", + "lib_dir = os.path.join(os.path.dirname(thermo_lib_file), 'lib')\n", + "os.makedirs(lib_dir, exist_ok=True)\n", + "shutil.copyfile(thermo_lib_file, os.path.join(lib_dir, os.path.basename(thermo_lib_file)))\n", + "\n", + "thermo_database = rmgpy.data.thermo.ThermoDatabase()\n", + "thermo_database.load_libraries(lib_dir)\n", + "\n", + "# Make a list of each molecule and each label\n", + "items = [thermo_database.libraries['surfaceThermoPt111'].entries[e].item for e in thermo_database.libraries['surfaceThermoPt111'].entries]\n", + "labels = [thermo_database.libraries['surfaceThermoPt111'].entries[e].label for e in thermo_database.libraries['surfaceThermoPt111'].entries]" + ] + }, + { + "cell_type": "markdown", + "id": "05f7b6f6-35b9-401c-a5c0-7b8f1535eb83", + "metadata": {}, + "source": [ + "### A1.2 Load all the data from the BEE files" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "17253d35-f5d5-4e76-bcd7-93576663f31b", + "metadata": {}, + "outputs": [], + "source": [ + "def get_name_from_path(path):\n", + " search_pattern = r'beef-ensembles/(.+)_bee.txt'\n", + " m1 = re.search(search_pattern, path)\n", + " if m1 is not None:\n", + " return m1[1]\n", + "bee_files = sorted(glob.glob(os.path.join(THERMO_DATA_PATH, '*_bee.txt')))" + ] + }, + { + "cell_type": "markdown", + "id": "e1e90277-8bfe-457f-b68c-f0f046e6f111", + "metadata": {}, + "source": [ + "### A1.3 Function to match BEEF data to names in library" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "f2e25b82-820e-4744-a553-e2979337d5dc", + "metadata": {}, + "outputs": [], + "source": [ + "def get_molecule_by_name(sp_name):\n", + " # Get the molecule that matches the name in the BEEF thermo library\n", + " try:\n", + " entry_index = labels.index(sp_name)\n", + " return items[entry_index]\n", + " except ValueError:\n", + " print(f'Could not find {i} {sp_name} in thermo library')\n", + " return None" + ] + }, + { + "cell_type": "markdown", + "id": "6e52f6cb-bbf3-4fa3-8574-5b6d5274b2bb", + "metadata": {}, + "source": [ + "### A1.4 Load BEEF thermo ensemble data and corresponding molecule structure" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "7a24930d-bc89-4f19-b865-f3a1f6d0cdf5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Could not find 18 CH3OXCO in thermo library\n", + "182 species loaded\n" + ] + } + ], + "source": [ + "Hf_ensemble_data = []\n", + "molecules = []\n", + "for i in range(len(bee_files)):\n", + " species_name = get_name_from_path(bee_files[i])\n", + " molecule = get_molecule_by_name(species_name)\n", + " if molecule is None:\n", + " continue\n", + " molecules.append(molecule)\n", + "\n", + " species_ensemble_data = []\n", + " # the loaded dataframe has 2 columns: Hf and Delta Hf\n", + " df = pd.read_csv(bee_files[i], sep='\\t')\n", + " Hf_ensemble_data.append(df['Hf'].values)\n", + "\n", + "Hf_ensemble_data = np.array(Hf_ensemble_data)\n", + "\n", + "assert Hf_ensemble_data.shape[1] == 2000, 'BEEF ensemble size should be 2000'\n", + "\n", + "N_species = Hf_ensemble_data.shape[0]\n", + "print(f'{N_species} species loaded')\n", + "\n", + "cov_Hf = np.cov(Hf_ensemble_data)\n", + "assert cov_Hf.shape[0] == N_species\n", + "assert len(molecules) == N_species" + ] + }, + { + "cell_type": "markdown", + "id": "18031779-6708-42a9-ac6f-ea0b4a293ae2", + "metadata": {}, + "source": [ + "## **Option B:** Python dictionary" + ] + }, + { + "cell_type": "markdown", + "id": "94d78c85-5f8e-4b72-9cf7-74809c9642d7", + "metadata": {}, + "source": [ + "### B1.1 Import all the data from the Python readable files" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "26c2cbbe-d25d-4f1d-aae1-c1aa728b7dfb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sys.path.append('/home/moon/thermo_kinetics_scripts/new_workflow/') # folder containing class definitions\n", + "import adsorbate\n", + "\n", + "\n", + "sys.path.append('/home/moon/thermo_PR_data/data') # folder containing data\n", + "from Pt111_ads_data import Pt111_ads_data\n", + "from reference_data import reference_dict\n", + "from slab_data import slab_dict\n", + "from beefdict import beefdict\n", + "from refbeefdict import refbeefdict\n", + "\n", + "# reformat the reference_dict to use 'Pt' instead of 'slab'\n", + "reference_dict['reference_compositions']['Pt'] = reference_dict['reference_compositions']['slab']\n", + "reference_dict['reference_energies']['Pt'] = reference_dict['reference_energies']['slab']\n", + "reference_dict['reference_EOF']['Pt'] = reference_dict['reference_EOF']['slab']\n", + "reference_dict['EOF_uncertainty']['Pt'] = reference_dict['EOF_uncertainty']['slab']\n", + "\n", + "reference_dict['reference_compositions'].pop('slab')\n", + "reference_dict['reference_energies'].pop('slab')\n", + "reference_dict['reference_EOF'].pop('slab')\n", + "reference_dict['EOF_uncertainty'].pop('slab')" + ] + }, + { + "cell_type": "markdown", + "id": "ca9b200a-e5de-494b-aafa-9b46a32b92aa", + "metadata": {}, + "source": [ + "### B1.2 Save the ensemble of databases (takes up ~350MB on disk)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "8d5e8119-be96-437f-a6fc-69aee12d32de", + "metadata": {}, + "outputs": [], + "source": [ + "all_ads = adsorbate.AdsorbatesEnsemble(\n", + " Pt111_ads_data,\n", + " reference_dict,\n", + " slab_dict,\n", + " 'a long description',\n", + " beefdict,\n", + " refbeefdict,\n", + ")\n", + "\n", + "all_ads.get_RMG_thermo_database_entries()\n", + "ensemble_db_location = 'ensemble_databases/'\n", + "os.makedirs(ensemble_db_location, exist_ok=True)\n", + "all_ads.write_ensemble_of_RMG_thermodatabase_files(directory=ensemble_db_location)" + ] + }, + { + "cell_type": "markdown", + "id": "ba21e1e0-dcc5-4e69-985d-9520f4f5940f", + "metadata": {}, + "source": [ + "### B1.2 For every adsorbate in Pt111_ads_data, compute H298 using the 2000 BEEF-vdW DFT energies" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "652451ba-bc25-4ebe-af19-fcaf0dd1f9f0", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_716.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1690.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1867.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1513.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_387.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_806.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_184.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_465.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_552.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_276.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_841.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1604.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_825.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_413.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1006.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1931.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_173.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1355.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1837.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1704.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1904.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1341.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1816.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1993.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1902.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_718.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_255.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1317.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_505.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1783.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1970.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_860.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1377.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1394.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1477.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1017.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_315.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_101.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1731.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_190.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_459.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1755.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1441.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1113.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_223.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_45.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1812.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_978.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1495.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_614.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1396.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1879.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1680.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_339.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1564.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1530.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1231.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1565.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_666.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_565.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1271.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1808.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1079.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_790.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_510.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1700.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_883.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1593.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_564.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_732.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_798.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1099.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1983.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1358.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1478.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_690.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_529.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_945.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1763.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_259.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_817.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_31.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_216.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1375.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_773.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_210.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_260.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_193.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1801.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_123.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_958.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1741.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1764.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1998.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1897.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1460.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_778.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_542.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_522.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1684.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_600.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1476.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1130.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_487.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_708.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1977.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_333.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1347.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_940.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1279.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1445.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_721.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1066.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_667.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_281.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_141.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1843.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_631.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1111.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_882.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_502.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_898.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_934.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_447.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1677.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1717.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1609.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1601.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1305.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_870.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_279.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1485.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1674.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1512.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1469.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_229.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1877.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1235.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_953.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_411.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1039.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_617.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_515.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1167.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_444.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_811.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_57.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_950.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_965.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_813.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1223.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_466.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1538.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1793.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1796.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1868.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_454.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_624.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_680.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_180.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_939.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_897.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1853.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_221.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_834.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_649.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1249.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_569.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_640.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_660.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1964.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_55.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_987.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_696.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1523.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_665.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_30.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_43.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_318.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1127.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_434.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_247.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_519.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_584.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1056.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1520.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_518.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_135.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1797.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1132.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_111.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1181.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_723.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1013.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1416.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_611.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_561.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1383.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_377.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1344.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_692.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_18.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1131.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_859.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_151.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_931.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_610.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1439.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_622.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1410.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_419.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_867.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1068.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1558.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_636.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1748.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_947.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1108.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_219.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1992.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1887.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_509.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_699.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_76.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1284.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1508.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_598.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1605.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1205.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1389.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_91.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1033.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_207.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1464.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1221.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_943.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1184.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1753.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1170.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_493.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_539.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1782.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1426.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1834.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_694.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1491.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1506.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1539.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_794.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1921.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_461.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1988.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1756.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1403.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1312.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1912.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1084.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1422.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_289.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1913.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1198.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1038.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1493.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_956.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_741.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1697.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1432.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_382.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_684.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_876.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_986.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1515.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_661.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_675.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1399.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_989.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1140.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_103.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1313.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1510.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_754.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1890.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_146.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_34.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1156.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_361.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1893.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1406.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1329.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_788.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_948.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1343.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_537.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_169.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1736.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_588.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1663.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_74.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_770.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_568.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_625.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1817.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1141.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1635.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1037.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1770.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1875.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_140.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1323.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1324.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1080.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1122.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_147.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_803.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1165.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_426.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1119.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_206.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_482.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_823.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1484.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_160.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_130.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1218.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1905.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1158.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1407.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_115.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1534.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_574.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_230.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1735.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1779.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1536.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_41.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1397.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1245.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1804.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_75.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_159.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1146.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1813.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1388.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_902.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1628.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1402.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_125.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_619.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1706.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_888.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1948.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_378.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1058.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_338.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_254.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1333.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1949.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1535.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_932.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1310.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1350.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_496.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_664.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1854.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_944.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1715.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1211.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_848.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1994.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_760.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_499.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1040.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1859.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_988.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_725.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_885.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1106.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_420.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_963.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_212.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1807.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_968.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_237.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1275.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_863.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1647.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_657.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1915.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_933.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1567.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_763.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1286.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1466.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1901.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1814.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_371.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1257.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1830.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1606.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1487.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1096.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1541.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1785.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_364.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_25.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_362.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1071.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_903.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1023.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1543.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_328.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1411.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1788.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1540.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1105.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_547.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1791.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_717.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1182.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_291.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1418.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1810.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_412.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_577.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_136.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1941.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1936.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_38.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_449.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_227.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1580.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1926.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_177.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1676.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_299.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_786.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1532.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1548.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_179.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_759.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_232.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1746.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1026.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_809.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1940.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1428.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1024.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1144.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1920.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1278.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_102.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_985.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_231.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_960.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1044.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_5.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_981.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_683.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1537.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_379.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_126.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_669.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_909.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_2.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1299.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1359.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_769.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_92.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_656.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_194.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1374.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_9.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_128.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1914.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1306.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1672.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1972.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_849.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_162.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_731.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_974.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1405.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1264.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_343.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1546.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1642.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1712.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_215.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1734.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_805.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1444.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_504.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1621.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_399.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_117.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_495.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1192.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_922.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1475.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_494.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_262.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1967.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_24.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1030.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1652.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1227.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_936.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_653.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_592.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1681.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1188.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_64.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_430.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_729.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1452.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_478.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_560.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1809.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1836.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_183.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1285.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_285.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1189.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_84.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_109.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_244.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1256.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_668.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_47.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1180.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_337.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1021.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_104.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1765.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_628.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_48.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_129.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1035.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1155.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_911.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1987.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_228.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_166.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_955.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_916.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_233.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_261.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1291.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_764.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_39.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1960.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_655.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_984.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1081.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_814.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_492.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1795.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_757.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_638.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1566.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_15.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1045.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_787.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1179.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_691.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_441.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_61.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1585.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_678.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1200.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_755.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1048.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_702.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_369.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1555.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1981.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_910.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1750.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1202.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_110.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_302.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1169.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1547.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_385.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_167.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_308.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_875.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_148.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_95.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1504.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1419.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1623.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1199.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_571.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1616.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_367.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_311.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_887.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1335.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1298.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_498.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1554.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_541.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1135.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_827.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_745.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1088.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_360.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_471.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1133.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_728.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_295.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1917.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_50.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_314.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_576.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1404.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_137.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_925.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1928.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1207.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1150.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_641.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1059.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_63.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1208.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1062.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1255.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1969.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_60.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1519.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1918.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_297.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1937.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1262.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1143.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1803.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1525.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_404.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_342.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_272.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_853.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_486.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1858.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_133.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1226.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_282.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1732.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1563.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_213.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1995.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_32.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_252.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1882.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_273.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1261.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_52.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_217.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_884.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_685.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_209.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1956.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1258.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1545.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1899.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1462.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1975.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_551.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1356.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1637.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1784.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1090.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1698.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_642.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1288.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1571.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1747.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_856.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1737.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_501.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_354.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_112.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1370.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_488.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1861.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1721.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1935.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1094.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_758.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_195.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1820.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_275.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1627.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1838.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_698.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1978.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_171.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1440.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1906.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1070.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1699.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1946.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1930.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_309.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_878.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1022.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_742.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_476.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1533.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_808.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_528.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1862.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1100.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_175.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_138.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1480.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1031.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_967.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1583.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_695.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_415.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1415.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1945.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_468.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_287.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_156.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1295.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1408.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1282.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1046.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_563.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1885.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_832.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_70.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1934.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_21.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_896.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_615.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1761.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_516.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_604.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_587.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_120.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1007.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1686.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_999.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_652.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_480.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1718.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1568.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_181.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_241.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_761.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1636.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1228.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1667.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_113.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_268.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_78.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1588.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1126.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1578.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_251.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1986.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_672.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1856.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1376.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1710.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1884.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1166.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_375.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_765.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_351.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1561.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1622.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_995.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_824.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_355.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_325.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1729.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_305.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_349.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_455.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_997.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1819.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1281.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_334.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_153.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1461.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1098.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_800.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1514.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_980.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1778.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_810.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_756.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_511.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1656.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_265.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_540.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_976.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_557.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_873.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1631.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1974.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1438.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_812.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_627.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_236.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1638.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_970.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1233.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1215.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_673.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_847.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_149.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_937.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_451.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_714.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_396.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1338.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1074.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_994.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_108.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1145.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1393.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_290.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1053.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_839.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_538.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_548.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1625.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1980.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_164.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1052.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1943.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1386.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_930.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1951.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_915.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_81.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1826.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_630.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_601.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_12.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1270.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_462.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_567.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1450.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1910.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_807.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1349.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1620.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1091.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1644.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_79.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_523.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_951.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_446.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1653.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_973.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_127.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1433.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_198.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1318.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1850.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1381.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1640.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_621.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1744.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1522.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1292.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1958.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1911.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_799.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1458.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1852.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1253.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_182.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1259.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1455.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_319.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_89.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1602.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_775.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_344.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_942.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1280.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1109.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_566.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_705.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1824.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1368.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1124.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_80.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_791.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1287.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_481.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1116.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_144.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1456.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_774.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_905.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_585.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1077.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1662.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_416.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1878.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_320.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_923.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_470.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1107.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_603.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_417.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_822.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1120.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_240.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_779.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_820.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1961.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1254.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1110.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1654.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1501.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1134.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_99.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_33.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1447.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1320.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_618.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_553.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_335.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_51.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_776.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1336.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1738.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_605.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1922.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_312.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1503.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_28.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1938.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1136.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_307.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1894.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1668.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_191.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1989.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_687.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_365.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1061.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_332.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_401.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1378.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_330.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1800.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_998.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_924.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1328.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_277.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_46.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_119.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1214.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_90.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_767.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1049.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1881.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1876.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_439.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_258.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_83.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1865.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_414.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1650.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_858.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_40.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1759.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_257.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1670.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1889.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1036.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1101.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1042.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1607.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1883.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1587.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_908.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1723.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1153.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_408.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1224.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_26.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1966.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1301.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_929.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1121.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_846.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_975.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1551.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1724.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1010.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1769.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_450.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_388.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_816.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1598.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1572.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1516.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_952.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1229.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1251.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1669.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1187.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1001.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1955.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_479.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_734.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1197.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1708.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1357.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1400.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_472.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_313.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_593.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_118.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1032.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_784.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1573.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1705.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_327.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_150.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1709.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1076.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1679.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_366.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_483.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_651.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_62.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1860.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_381.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1314.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1713.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1414.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1982.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1085.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_966.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1095.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1089.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1315.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1230.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1720.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1115.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1236.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1916.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_16.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_616.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1063.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_20.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1051.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1886.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_644.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_609.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1332.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1191.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_386.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1075.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1065.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1118.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_532.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_395.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1831.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1942.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_594.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1190.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1649.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1863.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1003.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_544.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1823.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1632.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1569.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1387.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_949.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1430.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_513.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_178.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_545.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1151.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1246.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1217.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_205.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_500.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_503.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1250.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1454.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1996.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1518.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_913.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1815.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_211.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1008.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_363.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1160.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1442.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1822.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1330.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1742.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1302.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_582.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_238.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1833.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_65.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_735.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1976.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_497.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1671.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1325.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_8.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1959.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1929.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_654.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_701.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1923.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1012.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1634.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1874.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_889.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_176.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_893.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1239.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1201.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1138.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_67.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_836.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1754.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_711.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1392.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_345.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_575.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_226.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_733.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1194.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_220.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1331.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_750.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1303.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_578.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_959.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_840.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1596.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1740.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_697.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1968.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1300.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_37.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1760.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1481.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_907.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_977.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_380.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_336.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_397.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_72.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1752.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_648.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1015.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1175.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1579.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1241.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1848.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1367.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1840.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_421.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1665.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_7.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_762.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1102.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1243.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1327.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1020.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_992.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1352.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1492.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1952.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_438.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_917.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1496.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1719.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_879.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1470.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1798.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1055.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1163.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1360.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_646.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_187.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_389.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1114.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_29.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1161.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_218.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1005.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_186.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1004.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1505.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_122.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1872.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_280.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1057.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_85.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1453.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1168.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_324.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_508.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_993.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_348.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_639.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1319.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_53.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_310.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1069.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_208.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1244.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1337.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1560.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_506.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_707.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_393.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_549.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_403.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1148.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1237.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1459.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_4.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_304.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1209.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_681.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1880.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1413.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1659.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_58.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_168.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_559.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_431.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_536.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1078.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_964.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_94.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_512.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1083.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_643.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_131.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_991.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1361.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_392.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_398.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1186.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1372.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1792.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1177.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1947.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_437.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1293.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_533.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_234.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1562.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1283.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_921.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_432.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_341.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_423.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_596.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_0.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1248.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_214.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_317.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_751.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_347.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_77.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1645.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_521.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_452.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1060.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1749.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_239.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_322.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1474.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_271.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1864.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1786.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_941.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1707.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1082.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1147.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_139.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1728.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1123.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1766.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_248.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_464.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1353.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1472.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1500.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1517.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_620.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_270.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_267.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_670.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_546.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_872.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1212.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_783.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1232.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1451.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1685.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1014.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1855.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_384.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1391.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1991.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1851.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_286.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1473.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1435.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_346.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_406.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_635.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_224.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1178.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1611.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_200.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1933.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1234.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1898.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_815.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1774.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_440.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1326.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1847.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_833.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1842.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1829.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1827.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_785.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_161.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_831.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_857.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_899.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_570.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_269.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_607.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1064.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_861.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_914.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1073.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1210.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_712.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1844.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_795.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1139.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1657.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_527.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1379.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1345.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_595.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1366.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1767.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_612.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1398.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1896.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1939.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_202.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1730.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1183.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_892.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_460.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1775.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1574.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_490.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1794.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1892.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_704.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_185.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_739.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_573.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_650.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_829.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1757.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1348.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1384.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1629.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_623.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1799.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1488.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_962.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1427.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1909.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_443.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1702.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_13.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1086.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1316.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1527.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_100.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1354.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1263.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_801.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_550.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1870.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1103.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_693.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1157.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_391.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_946.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_306.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1304.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_554.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_586.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_748.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_410.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_422.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1382.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1641.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1613.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_920.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_292.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_793.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_442.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_772.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1576.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1471.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1373.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1758.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_357.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1434.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1222.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1651.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1276.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1164.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_781.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_918.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1025.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1497.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_507.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1067.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1777.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1846.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_457.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1818.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_706.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1643.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_743.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_821.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_804.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1693.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_866.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_613.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1577.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1727.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1097.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_59.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1919.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_581.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1311.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1664.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1688.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1457.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_433.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_283.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_819.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1957.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_736.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_394.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1129.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1790.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1828.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1498.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1839.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1265.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_427.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1549.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_294.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_645.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1240.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1592.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1857.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_901.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_971.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_445.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1780.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_520.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_274.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1334.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1117.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_843.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_225.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_491.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1499.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_165.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_766.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_796.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1695.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_10.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1511.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_830.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1997.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1832.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1552.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_700.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1468.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_789.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_163.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_264.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_777.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1557.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1811.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_990.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1322.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_170.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1502.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_49.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1252.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_720.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1494.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_514.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_107.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1559.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_373.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_44.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_906.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_852.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1204.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1043.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1716.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_983.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_850.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1673.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_771.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1267.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1294.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_405.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1016.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_14.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_71.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1726.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_453.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1582.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1011.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_659.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1112.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1171.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_199.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_390.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1307.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_329.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1483.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1962.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1034.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_284.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1526.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1340.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1691.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1869.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1173.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1648.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_710.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_597.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1425.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1776.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_134.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1768.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1932.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1528.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1196.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1028.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1873.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_158.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_436.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_253.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1395.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1595.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_602.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1054.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1364.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_589.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_671.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1849.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_730.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1617.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1806.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1550.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1692.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_321.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_961.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1219.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_105.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_982.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_316.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1542.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_435.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_740.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1216.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1675.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1733.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1944.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_56.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_35.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_352.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_23.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_526.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_580.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1871.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1220.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_886.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_323.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_954.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_142.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1787.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1185.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1174.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1953.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1274.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_828.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1678.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1247.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_862.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1041.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1965.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_572.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_543.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1213.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1128.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1087.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1412.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_172.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1781.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1423.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_837.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_969.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_300.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_96.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1614.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1612.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1482.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_979.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1821.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1296.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1421.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1436.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_679.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1739.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1490.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_376.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_475.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1772.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1633.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1467.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_243.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_868.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_155.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1655.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_174.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_957.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_456.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_835.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_331.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_686.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_534.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_467.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_900.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_676.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_222.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_634.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_904.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1142.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1888.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_6.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_188.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_429.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1047.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_97.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_633.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_132.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_606.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1159.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1125.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1363.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_68.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1424.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1658.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1908.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_894.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1238.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_296.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_688.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_715.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1346.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_938.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_726.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_192.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_245.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1805.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_895.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1610.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_524.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1479.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1531.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1195.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1599.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_474.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1321.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1990.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_69.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_485.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_124.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1104.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1225.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_599.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_753.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_826.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1448.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1624.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_203.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_871.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1683.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1703.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1556.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_73.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_890.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_201.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_204.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1581.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_877.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_82.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_54.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1751.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_418.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_106.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1409.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1289.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1773.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_727.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_928.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_590.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_42.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1762.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_428.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1449.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_246.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_27.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_797.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_484.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1385.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_88.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_747.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1743.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1176.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1999.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_143.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1689.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_19.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_749.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1789.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_647.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1985.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_583.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_154.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1290.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_11.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_278.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_93.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1260.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1544.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1269.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1431.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_703.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_400.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1802.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1866.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1308.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1714.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1137.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_802.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_121.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1696.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1660.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_689.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1661.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_359.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_579.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_36.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1597.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1369.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1979.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_303.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1486.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_880.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_713.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_157.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1925.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_197.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1268.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1027.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_448.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_662.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_458.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1417.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_350.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1845.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1072.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_22.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1711.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_874.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_517.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1639.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_782.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1509.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_531.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1362.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1309.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_86.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1000.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_353.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_298.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1694.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1626.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_637.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_709.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_851.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_525.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_869.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_263.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_854.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1002.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_768.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1907.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1594.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1380.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1206.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_477.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_383.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_608.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1429.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1825.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1575.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_473.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_463.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_489.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1841.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1954.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_632.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1172.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_249.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_677.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1401.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1342.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_3.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_972.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1900.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1149.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_340.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1745.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_629.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_737.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_469.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_558.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1835.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_855.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_409.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_845.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_98.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_152.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1630.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_114.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1570.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_844.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1437.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1018.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_555.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_919.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1507.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1371.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1019.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1973.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_663.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_927.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_235.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_838.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_372.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1272.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1927.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1615.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1584.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_719.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1971.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1351.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1646.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1266.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_358.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1891.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_818.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_189.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1903.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1589.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1701.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_912.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_724.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1603.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1590.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_674.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1273.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1950.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1443.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1586.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1924.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1600.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1297.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_535.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1521.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1390.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1446.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1722.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_891.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1242.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1465.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1591.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1152.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1193.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_17.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1365.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_370.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_881.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_996.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_722.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_658.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1277.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1618.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1984.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_266.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1050.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_842.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1619.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1553.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_87.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1339.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_356.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1463.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1895.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_374.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1725.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_626.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1092.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_301.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_556.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_752.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1687.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1162.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_293.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_196.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1420.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1489.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1529.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_744.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_746.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_116.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_926.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1963.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_424.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_792.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1771.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_780.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_288.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_738.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_562.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_530.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_935.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1524.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_402.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_326.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1682.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_425.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1608.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_145.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_407.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_865.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1093.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_591.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1666.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_864.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_250.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_368.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_66.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_682.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1203.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_256.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1154.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1009.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_242.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_1029.py in ensemble_databases/...\n" + ] + } + ], + "source": [ + "rmg_thermo_db = rmgpy.data.thermo.ThermoDatabase()\n", + "rmg_thermo_db.load_libraries(ensemble_db_location)" ] }, { "cell_type": "code", - "execution_count": 3, - "id": "70f0f6c7-59f6-4747-9f59-2b147a11ee28", + "execution_count": 10, + "id": "94f3eb7c-bc61-445e-a77c-c94096d7ef4f", "metadata": {}, "outputs": [], "source": [ - "# load their thermo library\n", - "thermo_lib_file = os.path.join(os.environ['HOME'], 'thermo_kinetics_scripts/beef-uq/thermo/surfaceThermoPt111.py')\n", - "\n", - "# RMG expects the library in its own directory\n", - "lib_dir = os.path.join(os.path.dirname(thermo_lib_file), 'lib')\n", - "os.makedirs(lib_dir, exist_ok=True)\n", - "shutil.copyfile(thermo_lib_file, os.path.join(lib_dir, os.path.basename(thermo_lib_file)))\n", + "molecule_order = list(rmg_thermo_db.libraries['database_0'].entries.keys())\n", + "molecules = [value.item for key, value in rmg_thermo_db.libraries['database_0'].entries.items()]\n", "\n", - "thermo_database = rmgpy.data.thermo.ThermoDatabase()\n", - "thermo_database.load_libraries(lib_dir)\n", + "Hf_ensemble_data = np.zeros((len(molecule_order), 2000))\n", "\n", - "# Make a list of each molecule and each label\n", - "items = [thermo_database.libraries['surfaceThermoPt111'].entries[e].item for e in thermo_database.libraries['surfaceThermoPt111'].entries]\n", - "labels = [thermo_database.libraries['surfaceThermoPt111'].entries[e].label for e in thermo_database.libraries['surfaceThermoPt111'].entries]" - ] - }, - { - "cell_type": "markdown", - "id": "05f7b6f6-35b9-401c-a5c0-7b8f1535eb83", - "metadata": {}, - "source": [ - "### 1.2 Load all the data from the BEE files" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "17253d35-f5d5-4e76-bcd7-93576663f31b", - "metadata": {}, - "outputs": [], - "source": [ - "def get_name_from_path(path):\n", - " search_pattern = r'beef-ensembles/(.+)_bee.txt'\n", - " m1 = re.search(search_pattern, path)\n", - " if m1 is not None:\n", - " return m1[1]\n", - "bee_files = sorted(glob.glob(os.path.join(THERMO_DATA_PATH, '*_bee.txt')))" - ] - }, - { - "cell_type": "markdown", - "id": "e1e90277-8bfe-457f-b68c-f0f046e6f111", - "metadata": {}, - "source": [ - "### 1.3 Function to match BEEF data to names in library" + "for i in range(2000):\n", + " library_name = f'database_{i}'\n", + " for j in range(len(molecule_order)):\n", + " Hf_ensemble_data[j, i] = rmg_thermo_db.libraries[library_name].entries[molecule_order[j]].data.get_enthalpy(298) / 1000.0 # convert to kJ/mol\n", + "cov_Hf = np.cov(Hf_ensemble_data)\n" ] }, { "cell_type": "code", - "execution_count": 5, - "id": "f2e25b82-820e-4744-a553-e2979337d5dc", + "execution_count": 11, + "id": "47626000-d932-4695-a6bd-fc81bf6186be", "metadata": {}, "outputs": [], "source": [ - "def get_molecule_by_name(sp_name):\n", - " # Get the molecule that matches the name in the BEEF thermo library\n", - " try:\n", - " entry_index = labels.index(sp_name)\n", - " return items[entry_index]\n", - " except ValueError:\n", - " print(f'Could not find {i} {sp_name} in thermo library')\n", - " return None" - ] - }, - { - "cell_type": "markdown", - "id": "6e52f6cb-bbf3-4fa3-8574-5b6d5274b2bb", - "metadata": {}, - "source": [ - "### 1.4 Load BEEF thermo ensemble data and corresponding molecule structure" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "7a24930d-bc89-4f19-b865-f3a1f6d0cdf5", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Could not find 18 CH3OXCO in thermo library\n", - "182 species loaded\n" - ] - } - ], - "source": [ - "Hf_ensemble_data = []\n", - "molecules = []\n", - "for i in range(len(bee_files)):\n", - " species_name = get_name_from_path(bee_files[i])\n", - " molecule = get_molecule_by_name(species_name)\n", - " if molecule is None:\n", - " continue\n", - " molecules.append(molecule)\n", - "\n", - " species_ensemble_data = []\n", - " # the loaded dataframe has 2 columns: Hf and Delta Hf\n", - " df = pd.read_csv(bee_files[i], sep='\\t')\n", - " Hf_ensemble_data.append(df['Hf'].values)\n", - "\n", - "Hf_ensemble_data = np.array(Hf_ensemble_data)\n", + "# this way doesn't work\n", + "# construct an adsorbate\n", + "# N_species = len(Pt111_ads_data)\n", + "# H298_ensemble = np.zeros((N_species, 2000))\n", "\n", - "assert Hf_ensemble_data.shape[1] == 2000, 'BEEF ensemble size should be 2000'\n", - "\n", - "N_species = Hf_ensemble_data.shape[0]\n", - "print(f'{N_species} species loaded')\n", + "# for i in range(N_species):\n", + "# ads_data = Pt111_ads_data[i]\n", + "# assert ads_data['dft_energy'][1] == 'eV'\n", "\n", - "cov_Hf = np.cov(Hf_ensemble_data)\n", - "assert cov_Hf.shape[0] == N_species\n", - "assert len(molecules) == N_species" + "# original_energy = ads_data['dft_energy'][0]\n", + " \n", + "# beef_values_kJ = beefdict[ads_data['adsorbate_name']]\n", + "# assert len(beef_values_kJ) == 2000\n", + "# for j in range(len(beef_values_kJ)):\n", + "# ads_data['dft_energy'][0] = original_energy + beef_values_kJ[j] / 96.485 # convert kJ/mol to eV\n", + "# ads = adsorbate.Adsorbate(\n", + "# ads_data,\n", + "# reference_dict,\n", + "# slab_dict\n", + "# )\n", + "# ads.get_RMG_thermo_database_entry(0)\n", + "# # print(ads.get_RMG_thermo_database_entry(0))\n", + "# # print(ads.enthalpy_of_formation_at_298K)\n", + "# H298_ensemble[i, j] = ads.enthalpy_of_formation_at_298K\n", + "\n" ] }, { @@ -215,13 +14388,13 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 12, "id": "83f030a5-83cc-43e3-9fab-9004fe19c82d", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "

4GpMagNQS zAteHNn1}9u!>5V1-KXETuq^=L4qxazYYbwFd{gtfHyCwM@0ZUD(uPf0{f}+D&5&7D z13PWI8=g z?bvwdJv|`K$z+@10ar8Z6ZK;_YgW_+aqc^nk&>VRxBTxN?#$*vFNNFbujun2E$2YR z2mZKT`s;M{zW9FFeEfx--`&%YbLixHDYF*&T-8^7^P6oB2Yvn;+OR-JXr|KIE{5lF zHk<$WTDjr?Y<&k_l_v5NGA|&$dwESSEWt#NRKR+BU5UoK$ZR6b5}tP%x#Y)b z11Z^uzxoynnU_QpyH0Q8z;mwxqVh@D4~9eW;OW;<5m2?Fnr3Yk3KkSqs6-#Hx!)GCr~Z~B5@6{~IcVIL%$xg(n|-v@n=(X4uR&kGUfM2J5;aM&Rp4Tu>o zUcYIMUb)wI~Z#U({V-=;d2$hW$gf-@h4+ z`*mZX8g|O3!RBl0SDFLn@TH}&TnYPXvHN!0y*sT$=AF`oQ~Uj}KRAIS=8Ga`7svO5 zitM1s!}?ReL!UhOY_Btt>fJK)qs9yoI3;jP;51rQWG53jXY@&>Z9?Q!T4-`NhE%= z$5%U25^`!~lCz8r$+#tOOyG&Y8wz-Mt*t`tfACE3AHj>BACs5F8D*g&cgKNNXB{AT z!xh$l|6+7T9Ph5V=AH>fhO6_tI2!%Qyrb}fJI;PfEK;@I5nb{i9ua&@@GQZ<1iu#P zUzQw*@kWFW5V}C!>RAoPJwWNhcbdJSmN=lbRF%Mw|CeMwR~B6F zgdn@wk^N7M0+5V8*OstZf3zVaz-Zf)fNIT{YA<~{OV%?&-)QK0btTP?q5rFYS2N2g zCB*!pQZRVXuE_^>UmhJ=825t{!|8O16aHk~bm2P0ML8D^gwCEF5nT7S3nAO$9 zB ziIXyoQg|P*#p}J|TM1B@RaB}7IgXS#PDV%_NJktRJ<(f_mZOTnFGruw%dd4C+3|?IX~(4r%5+5J(-Qe>M7{{&pH28f68=ZTem}9lMw}aB z{)p(W5%)(#eKf)9!>FwE0G_LU36NyEfbP9#m|bCWMypR}1${UzkX^CmkZ@2Tin(W) z$tK}}r1hqBKh|cT+$u4~$p?8Tdyd^#?sh4%YhC8E>L^8fZnjK+GRi~@Z@>CDR2HCd z#aHd>;F&^1}{N1smG6&h;Jz^&NDHp+Ikyy>FY}CGB=u(Y8 zN4Z6dQTosM=yrU?uX|J>=;wOUjuSi6(Zb29Y|DZ)wELt0*NeC;l>JUEJ=v)Uy{d9v zkkyYtt*JBpGt0%OV)^70*R?$I>x}O@HTUsFBj13W?#jU;B%IQ=`ICD&n)ZJEevIl0 zdhc>j-)Er=b^rFi$e4Z!)jqJ;FJF;?N-Psxi>t%XI;Et3$jk-uIr(l(=l7Mx6GiMc zc^_Moi?U8AH1-E3qqCp&cP7WiA|53HR(KJFnCf%H1NNjM7u827!8#CG>vyremB z^9L!Cl;X+fN}G}N@JRi6q@Mqy{NUM06uyro&}T~^dM7%x^KOI%>boO9#>SY2P6uhI zW+g|X*Hj{9Hs2$V*Q>5#X18SIQCNS|TR$D0hz2pIp?GwpB0fH2Ediy6-Kx@EK98d6 z+4bxU0O|VIhYwDsBkHoqr6JoSWU9b^%fc!iiFs`n7XKKGh6SI<9XsiZjye4JQO4s= z=7k-F)4ckNfTU?! z*hbaufgEi|5A4eFMRPt$e1+J5E}~~cYtr8av8)I#C^tEvQ{Jix)h`2 ztb;?Fj4z@1mXUo&zs8{Q9Ga}Q>I7u^kgc3Fi}Bw5pw*2j85Qn#*kGZ~BIB08F@Yxn zr~Ss%8LL;){|C0~9 z-;VIrQ*|qJl(hB8up@n07M8JmzHgWs6i1deEHqK`}4~wJQhCcKyvqPYV`K zGrqly1Qq=ERdp4U^^DLrcmzxwxO*#9_#lrFl~r9iK{*B6l3|Wme$*x*9^VU+|?icTeroMbvJDAUYzWr zJ1V$vVlm>BH^>_^9vumLPS)pX-i*@jpRS1cjh|_vS~4Q^ozVSfQr|yt)SW{`os=pR zl~HKdacWZVcr2n%X=roXej54ZheU7$KPT4_j-O^W%r;`sfxmpBbjeu%oPS3S{0>4c zajTSjsL!H5*C4%h)f?`ZjUCs09*Hz>-T9DR8APsEh&pDbAZ7c$2`5D8*H(RL4r<;+ zWN<56AkQ(8T=x+54zY(+Msvv0M$!?u>DPnb&Exsf=(1vQZ#>t|x*t*hb^)8EM=3}9 zTtTeLK*sF6Ar#oy+e+cN0Kt(RjtkhYud^wr?vWVYL%Oe)v2~vonzNLN{~0SBg=O(2lQCbzf%&pjwl&E{g?#N9`wDXwXmfZM0giiTn*=wgWE zAAE-Qidc75>u4H5ZK1*J-32F*T7ErExrYnc#OK^v+iL^dhkiwM?*6Yn`!4rs@rbY) zelEy;${%J89KmMMrZ|s%hY&A&hrbc*&B`5rKV=Ks)!uT&96tk<`xsl^t=NGzL$uP1 zALj5mwwtqGS^zK{FZJhkKfzAkpKJ|ooPd)Wy>MmH#r$>IE=^0cC4F;H33xi4Dza#6Dkj$bp+x59YN&3r(9#VYTJOPakq2pA$KnYhT}gbq13_QpE)tOOUxUGoab*4AsXd6V3>eV9A7;!`>h7 zkLzvySWn>r@o(Z3=+78K9REQ!MchZ@w;azryWNF+uEf6lOy~F*0OP&YuWM<&A&X1M zhxV;26wkM(aBZ>!tqOLj57rK#HgtJ^4W3W(c)%t&x8DgSM(SO6Trq_nt8nIh%+4V4 zH9K)c${CInocKc576{|lO}+Q+@rB!NN(o;u-fXIpPoEcX2Uf2-w>4^J7p~`*y}Oh7MO;@Mcp$@=iT(HMeLpws za0Ze@dzNmnGtT#&JEn;Hm?G5Qt1I#I^5=k^Kceuy?}ZuZXerrXxNuLglF0_=#962% zSVa1Q@dn>ywG^Jy`%o5o)!Q4q|0bvQ+&%+7FSiIqJv4$+&NzvFXAAN;O*K2<>$vgr)fQ`*y@BI#Q=FlIE`6z@*O|;aJM}+sHze4QaU?hBBx+D$ z48OaWuWMbkge%tHpDg0O;0@O?fs@z|mcS{2TLPyRhmPKk!u{VJ`n)T5Sd8K3!lH{F z-Xk@ui5&Tj>r4V~)|c}RrO(;G8okI*VNN~Bt7g&;;j{_^u+h0l3u z?+JBhM-Zr9IiX7LM8++FV**bEPIH7go%l5!{|Cv# zWQa0Q1{g2 zIA*&7q3?w5cPM^LzSL|7$Ge)kSH5DuGUG@`s@DxK>dR1JY{mBLIU$Q!1s#GD@ zD?}Xw>cty<_@0T-uR%_4RD$P1BpLg@BmH)sA@)5f7i1qfKQ#pFH~Qs8LubI3 zA%5!dPZPAM?&0jH7T%AQyEd>D=fUb!9Mk`S_m>q$&6&^YSmGS7O069n$3Sk6g{Ug_ zbE<0$8y(RIfHT7<)#O}5L2*-?MB>XBIFx03bWkeHkO8mxp7$Mc*f7 zo+3mllB6g_=3$%Xd7i!Id7kH4lA)0#p(2{7Zi(o~kVF|OAtZ$|CK;0a&iDK4^WNwA zUjN#uu~;mJ^v{0LVHBwyOk8m<`&!&b)Cwe*Qln|pcr`MV@A z8mkFxY6}3F5gX%oIA1{Z!rk%p!@;o1TQ~Hj!4YDNmM(E)+}?Hi)H|)hM9_L&NVg^* z2%X&t9`6fXVI@WEXi&c!Nbt85mmStZ!eS%-DKDhR-|I#VY6w-21EW1HXX#4gz{+s8 zjr)J<@M3U-i-xj(N@Lu2O*G0I{z#@SOEQ669~0^qk|&d zjAusPhQl`(;nNN8&C#tG(iYR}(GaV*Q=e-O#%<|w+l2f7zV{_Ij%;v7og>?iXJA(JOg zVxM4bnwxp4p#RTS>B3LJpxPvPqWiT0=-xFgAH}*w->LD+s?R=9CRA9uS0fxITc>p= z1j2wVdM9IGuLbZ2CBJ>g5CY8Bd;QO`r2w7v{k7svA@GuQF@wRx2_m_B5*TIz!6jwk z@rkt%F!3K1k#onsqa&G|+~0zshP_qs{`U~@e3zb_7HR@5J)XLpq1eB;>c^w#?LP2L zvL$0b&f`4UX7}a@-jh)}XzOxURuiZ%-+sS!DFm+Ui5GwGA58vSVTiGdG}fVT@%#xj zcX9&hr5$dH^pQ{?SMX(oD+JW^_aGB&NGx%d{?piO0u0rQ%lPnM`*9$K=Wsx)*q_@pzB^ao-5Ima#4Dev}`SzaouK zWBtG>jS;=t!3dampz_W7gFBR&74ly`m;lMiS}kXe1;d)wgH4Fn5^+({g-h+x$NN^6 zd$w+I#Qrt9jBK%ipr;TJb8o>FirkXvynUnLVlrRIA4g_b$=28GmB#0}<}2SzV*Oyn z*&){y?{8#28o5~$9R$1HZ+p4Q90W#_-RD#oOkrZ7E2BzCg97PURjf-qQS`km#}-x0WPP9yRz+T+ z-FaNXwy>8YU+adxI&yw=qK?si3lb7bW)etHC*uwzR+VcENFt(-=$4vZ9HO;>PhJ}u z47qL~eP#aFIHe2J+8>=XmcV+rzkN#dEzzef7YkPQ9vFV=yehePK3N+1KiHyk+ZN{` z$f|9(nKML0zkO9Eoh{M|hF4$D)~D_a0)@Te7cP7}hDxL4 z;I@4qs=lE?t^00Lk?32ZkBNRF`qcc6I%jvK)qnb#z&`>P8E$B({){t)hHXisRd{cf zz>QcH|1YdKZ+4gSuX4S^(J;_(N3ygO>v#X+j_cmUr1blVkakq>%a*PaK;SWfvjqMU z__~!=cisQC8JPzNULg3cDAHAUs56Po4+iV4GJ{M-Pk+AQ3Ca%Cg4)X?$;w#Aa&+t5 zca1x7Fcm0{OM0afgGTL}zQntCDEQ{>QR$v+}=uM(|r^_g%FxZHxc#9~&xB zm^>2>O+LC8ez3&BtC|f{3Y<4I@%F6WWA=D5Z*J}qeJ$D&3xx((7j5(*;o^fK^{ z$Pb6X{*QA!zsD2Eyt~PuCA9BGB3S!ce~6q&hRro3S%;o8WPbMIX%>w0!tdc4w06EY zzl`8_g7=Hnr(ArhBxVU0F}X_-6hnRAC@JQda+;6tc-Z69p1|@YWQuP zS!o9P0up@Zv5#-Alh=`ZykQ_1$^U2)?~%?*tY>Ln@BmGk(?PA+PfEq$;vP{7F?j6P zd8&WQzx!^63Q_fEjU&O$a`#setiSSW;_>%BWC$nfTtsQMc*5(TUM-p~e7==wv~d}Y z!9ITj_kIV3!vVT-&%8uK82u!y{ccnnZhrJo3cDKx1vd|Rcs~>aoBg}bQb`6vDDR8F za=ZufdH#jmE`@*Rqz4;2Ump|Imp(DDdLnd5ZM!Ro zw`7!<)o_X-Ycd#)-RRs)N#6=}}aC zwzLm4{u3`K^^XU5-S|ox(hC3`+FGuyK7rsZEUkCB%@?-i4`hW=1j3NNe0SHM066W? zeX{4L3+y!>sI|> zB=NA4jaC5pa}Pcj)ch0ejrVueSkDIA!S`>$e)9A$-(r_Q~SfG_{n$y46?mx>)EM4A7aejMwBf}__cHsO2R zxEJbHJ7Xl!tB_{{i%slk%c#Hkmy`QobQiUj^=o02M=~xx?dAYfXXx*^*Qg?*u3(UQ zRL}$K_{_4tJA4*Lj$Y+Q>1K|j&C50HlTLEzXn3{I0Y^13Rd5NIyCe-CP8=ORxvC0o z3cRT+TYN!VTwcgA(*c@KQwp*AN|9V{{ah3^J66S>y)T0-#@@}a1zW<=!*aKF_F!L^zqrsiTp-nYSQgbw zq`&i9V?Z6gqux2T2EbMMDgD;Qm||kwlDXPDAw=NP!W{=go0u5b-1M2NhZF$oN;kgK z<2jl4?f3Crdt;zK^x&(E%n;yC^>16pKDT9Z#@}QlaK2W{wk@^JIKOR$FTMtU?>9dd zdz`;v-RQ*2girk9$lXPI@uV@{`*Ci2_s0|aYSA(d$~cFCrojUVC;C8e=bh(_eGm;t zoXY5i*gar9`OwKbr8r-Fk-u!UT^ESW6;td*SEqx zwE=V77p9IzXPzkSgCjZtt2y|5E84}s+gb?wfak?>$0cLm+MTDG%oNN(VtQAbnYI-f zcY=0rA7pVgB=-^9%e5cvF(fd&G$_iUdEgXg|1Zy@@V=v$&sd+%`_ zo0C=mEt6_Tu}oF?C*W3|&jQ}JgSsvr5Iwy`@M9<7n;rw_yEJk_teHW_&)qE zpAr0a7d>i-yJ-3!{tMjxk9nVQIGo>^=A81B z7w04X<=LKH?r%?NMUZ)VbkXqmOn5j{6kI9d!uucu?~3|gtT(@!0BXOB^tpNy;4|V7 z{W^V$%+Gr*j}6Yej)6QU1|i{N5kT-e!TZIxTa~x>;T($gvqx#eBEaSKV_}y2(V$~> z;#h%oB;5IIO!K269T9WHe6E{k2A3lQ6;#`Wa#=&N484&-@-m}632rgfC$hLC+PuBjGBf6I)6_+<{d29*%<+(XPe zgwG#)-LFI&cK{v7t&@v1GN5?=1gDRU8ZvZ!vir_0E9iS+d+E+4Z8-m4L3jMKD){n= z>}ylCN8t?Hbw}rF(-**u~wPS&mqu4+=_`nYI0aj=kyr(_h?Z zNy%s;`cyFVsGw;nyzii0pxjo}P9o1qyrXd$8Y|vFdw^Rk&E6Oh^V7EkCD{{2ny_Iw zdAj=6B{b%yE`7(<4O}|kjq9xAoSH2K6rXf8z)E~`=KVAh~yuo{;Vop0&>UB zlb~DNe6Z=IJ3KkEuA_$JL7{H)S5CJY`FmaRtDL^*=?y2czfFiM`$PPrIl77@?ALYb z^F5A%5Rj}d(Vic1fb!zyOKg<-_?;+olVGa~dKVv%Oi6Vd4AulD40{1x&qKp}4EiYc zQ%mBvVthW7s4sJONPu+aGpq7=KQlR@^2IgNK=SV?VxyifxCa0Eb{A=u6c|FXbB?p) zJ$&z!cFRDF5%24^RDtj_5(qckjV*cU2&Eg263Yj%Z^Fghi!C@m$E|DBMSr^n(qK3y z%ePAj49YprKk;`2^W``-I+Z9O@@a|uH6mYx@XsddhVVZk_WOzbHA0_F=#Pl^HRAq= zn2!V(qkkR8=eevv%1fWbWkA6E*^h8PFF0&TG9_b87fcvD5XLmUgz}4`T zT}__{%)bj=a(0XaDV3_^%}-M>4|s`p;9Onvj?Jtu9qr-Ovo*=_Jt2^+?s}w#KO8zx zjYH8}oad#)AT~pbbGY)&`ut`i;54h#Mdep`FKxc!wJM$m9u4~RyfXEMV}J6}eYt#K z?vrkS%*zNknRelRAEOcUf}$OFWeg}gsP&)S8czP4Tzr$y)Gc+eb>`=8 z+9blcuGSSR(KJ|lOT{KLm;f^Sj-R~QoeC5_r8iyK%|Ye4>caO<2^86*cG{^9zkB?x zleEg0TNxfXqfbv36lopszUjp$7k8hwfLInAOIdegMAf3+y2blAa28hBwk0UTe43JR z!mK`89C{FB?}*>|T4;BwI;xTD>NM+uc~JR&l=)|w;nWL9wA9kO&vL~PC9Ks@{MhS= zN}f)KCqA?SS7q_%2EIy&PFGcIQ>H2kxiE9}D}@{6+kD;krNIuUE?K7(s{$<43LgyO z6+^o(e5FGJR$%w`J=gK8#z?W_0?++bQy91?o@63q3i4HyVq_*TwkVDWi|95@v;F& zj;9i`HQupLEy55a@;mjt1n_y})Dbt2@&M=ye*Dvs(w|%>AkDN{<4g+FG*8J>@%urY z#h`%X13%E(INYK9IT-XgJ4|};IiINS0_oSW4+L@D%NmC=F{+}wgLNrl)uQN`MqS;| zTPrv&`Og(mj3*&fMd`+N%HUVUnkMqmf{Z%{&6p)rBxMlMN6($>Yf5sgA^3oR_=ivu zv`j9Rr9}ilZ=s>HO+^6t97FUi(Wi|xgCbnmk1{gS*K-Z;{Fq+OXF9Pr1okA?35RU9 zCimOG;pf6%?neUOD4W=%W)jF#e|Sa7p$#X*K=hZq15CN>wUs>J2I6TZEm_zrMbm>ljZEp>|j?71paffQMDav9z1uWgoNByibfWTt{X9@fz@b$^-4=-!f z@O}MX9w2yu;JcU->YN1pK0@%rK&f*u$GIcJ$3C2QI!=wme@Ft(J#_mo@ME9B zKb5a%<061RhWC@1PXtW5$Itn^N(ZrtLr9V?hRkOKzi9|OI)CYs&VTst@uh+ys&*^L zkKUEHg5RYE3k`dhRqSwXWY z-wEE=zhhZDW#$KAHlt%AnNHA161Xw?#s|ueNOLm1)rb9urmvoCyh)xTjyJBobUR=O zk5J(8t=!vT&jIR_ezy;!roz+m9R701jC*J3u_1BfOe^@nIO!0$t8CAf!)v+3yh6+| zHiD*BYiCr*{(TqKD&_p!-SEC#8k@YAIuLUYG4Bxms-!2!YBtw-K>$MTUHJE)v&`^f z1@G5tbb03e!TYsEuY5(uvA--6jqd3AGp^9T2^H7X;d9x1sbUv6cbn4%F>E2neE9Q|;ed-UhJEUa2nESDVBh0%js z_st*N51hg+*Qf2w(cM!oVqanWB|RLia)<3jlYTp@8XuZ_;Gepl7{MMLeC6z6JqCM$tdyEHE=N9UkQ8~fcORSv?XPiI^aky<@ z-<#V53BTXVxxv;=PZ@@=zs#-a*9&aepS}ett2jMVg)!d*ZwGw7=DDTcYgT6n5yP>b z?Az_gpOfVttG_=L3|sbcoEf`e1@AR>%_-~rRFqu|y}>vMNGHcr;exn0#J&!%-&$sZ zKHDEKkN@TfRdF#j)KU&mu)A%E{h$ZAPP}L6`K+)$D!XP|PYXB#&EP4DSM1*K+mpex zzrY$a_pBY1eun)El`4mt4SccQCiHsm1+4#wsgxIRa|aeG8SVo|oXK@1cfPmVI5852 zpQ+z0(hY*~%G>Mv)cvr}U6O*zZcoTJM?YCSe})GuzcJUAU?Ffj!Uq0wQ7EH#4W5-mlJUwU+k+)|qi*3e! zXD4KOoS(Ww7uBiXrC1kMefGDJLXj;QmkzuSXG?E)f+ov>s3r=3xc%|*#|G|j2r4lv zmTLBfyFNmfJgmLJsnLM;%8(DVWzY7xYB+$8Y0*{T1Nh&&cD06ayTf$tUi67OPvUG4{~idpV(_}jG~2P?v$ zF|S^(|9T+&2|mKfVh{|@fi@Aov>woWr{ikhw&{~pqcO# z-uM4oC-cs?8wC%D!?fO4w$W5uaF>Z<-)yZ0JXeNIt2zzg9oHEe9|~O{>iegXQ{YMc zBOpW{lc8Ga4bB@|xooKe@m}7M#kNg8z*{>6;xdFRb>9t+W@MBfs98ql(? zu9R*K%@)71V+u(y;2<2@WP|fJko|YSPlfippqxqZ*X2_aYVBN>56@dv;{rG@ITl zG*#md1kYAG<$vyy4JPySFwM^=W32c-u>6K4Wuz;aciWy^%Q$S|3i5ZaRTty?te+bX zCTj5h7s1b-O*|yIDJP)S%vqMf`elOO3EqE^6QUL~?*`wt<{m4>xIN%I|LN*IoTpx% zJ)g1Q10lI*z0GHn5iv*1b)?Q;7{>Xno3fLVS$*Mq<@2c+j4QK2jNeC0{6WEzYU)L? zJH!f#Ow2A}pCiV}G!q;AKJj;6A?BE}tFHpD{`4aI8=JEo;8-`qKKieseR(Lt$#V}e z?+`f=Kk6;Q21oFpV}NPZf65gYF7z};oN$Ma-Ze}-I7g)M$E8i3b2!gx(Jby&l?@yi zv6FL(CxJsw_wFB$Tp>^ThgZ-F3Et#{#2l>EL-aP6txPFZ(aOW@_5BJqux)3uism}j z^Xcj-zOuo7_!<b3ChxY0(MpIT<8$KePimvx4S5Bzw59V{RpTAD*Lp(>tRM zSOCk&YxCPbJisI0>g!~nJ5Vh9+c$9eLfMf^CsL!ae{J$6t&DK&6T1LsuATIN`$;}h ztI@7dHL{j?Yt;?5B=!YNT*vo)IZbpbL&oIqb+qri|9XQZTs*qUCbq{4d)`n`Dw{fi z9VzaE4$fu&lxuAxJnRmZdy17?Rjfdg=VZm@9#i1zw%#J?>V)U{&@FXXPs6*L@s*d4 zDQHaVzkY=M74`DiH{QD7JOX(`E&3%d5WQjh%ZK^j96W=$HHNWH64Y1hv~D%RdGl8* z970!cUO;~aTG?j@TyamICSae*@`pFm1+<)?;6QDPJkC=%x9@WHb?ke1iaqDtVJ8*r zU)0B0_Rtktr}q4us3O57XBxxO*I4JuM9I0n=mMMGZBdVk!?{m?^J$6vHKJ|^|7^k^ zlJGww_WO_j-Cra0*@XUxcwZy#kBIqbLO#bKWXJU4}!7}A5QZ1fZ<1Sn&vo%+OO<6 z$2is{CCa?fX~cS4_meMoc)s_8+gVpCCdaYwlz0w1O_>+`^8`(epZA8R4rj+L@Oz4t z#>g@oj}M^70=xy-7rVxbuhZ}u_ANYJJ^=W>&~23Y)L|n(^5>pcH?V8P`@$d7sY~9j z{xIdIi9X=>>Njd0YAkNS@GPYNut~E&eE4D9JA-|})w*4$#!flI#Xc|Pd^rn)+VnTLJ2)%aXHTE znKv^q8$O{1bTk};{syifvtNm3XN4`fuG|}V+A7xqLEo^%=1P$()D0@GqRaR_!t0Z8 zx4tDj_PN;Yhv$kiT^z^@F4!;X-89c;SGf1Adf>=KH@NEG&NLo{eH`u?NnEIL0q&b! zej6)+a3Zg9r;-}hFORrcPUs54w*4$!UvM7bjb(wUDP>0(SXg-vZ(d;Dx)^mL*&eilS)^`sVV#1B#fY~ku3s~{ zcoQLfzhcs%nV;MVqRIWKpf9B%)=xGmCXX-M|E39BU`=j-!RJ_L# zZ?>=My9*3HDybDMashVnhUfYuS2+FT(wUL#0np^fm(cyh1E>#kzTaKy2Ws^(l!{L!UqMRSbbf9rceUBv2Wt2_Lz`m@u`-WgieRkdjv-N7}^>yJ{b zClqcq3gSF#3x4_)eGs1wM%NK2LKa{{jK20pt2z2M4@COX>z?5iZQ zO{|UCi`=(F9~1pV^y$UaJx!rDZvW|L0{;kHTp{J=);Z(f&yk4o)yB%6;fvbW@O=z!WZXF&y`FPD#|QeJbN6<)`;hUNz*z!+34B#PcK9U26FV{w z5WGO}9pvs94mGwV^FxEGzu{+g>_dBy<65tj4NzJ%MTm*`;@mRo@+=qp?z=JD{baWb zbfqc0`H1r`wK-m%lfi!8)B==BZ#X>3d`9q_#;lyn#5?#8|BV@85wEx-Wb(gRE4`2N z_h{TxZzWnmZ2Ol$0e5_#^_Ms4y?*>-gLRMu&oZy1%prWfAb8s29aC}|J}-4iSuVP2 zdy;wg)uD`W$&Wa%G|(kK4Ce&Q{NW6J^|O@B&ks0~Y<6Yi9IAC6gL8GRK=3=k`%f?X zSyU-uUp8K?zNtlbnB4PX5#hQ1Y}WGZBXvBFjA_1}{aQ+%BidDM zWW0mpz2lw0fq!bzvK;H;xAM+Ewzh)xxWggelU+e4(9lJ_N1r^e5Oa)p+&T9+9cOa> z17*Ck^w$bcpnb=b`6WM)Jogau4w0j!uIHVsz0U~egZAluxoZe*$96qFd0rZ{#Fe6# z@p)jzFEE=T$pW-1YS-lTbm7E2df+jpjxv_c`p<^R;ZWP{Lz5^`o&&n?^egAh(x~!kMd~Ocs z6p`4<>1g;7F(-vFzEa@&U;v-8u%4tKA4MDs?Eipu8x0*ZiMQr)ej42<{8`fku{Sp9 zjSp>sCnHcwa+w4>CRZEtLjvIaqx{8Nkuk7kVumUDdNAUU`t=UtRl; zjh9iM2Am)~^Be1LtaFN+UaNQ*>I@;879Y0{;rAS!&3P*-SkJtB52$#Oz&BK1>|M1J zRK}l-KcMObUxm&y`PTyC_f=R5cw+>sCtEn8+8n^UBzH6&=ZZY=`VeA{&vmf%Y-uju z(`%eH+2_SAGZCmN%4dbG3V?k=1~0gZcfJ(V?A1a`r^0rNT9mP|E-~j z1ah<)6FeEj@vch1vhzdS-b%sL9kn!#3*!MQEoooNG zeLm33*gTYt_a4NBT=Khcj)HAcv&PUy2vDV1pSrip3J!gk7&&z`0z$Wjno8q$J>qkz z8?pxr+AP7wpyGr+_H$EVjVY!PjDc_7ue5&gBtf_GuGN*oXke5!$W`2x2vo+8vnF$K z?tD#=J;y0dkXC*(XJm%!?QfmLyf||Ii>e7a*lg*QClLTkcLKLH1vtQ*RHmh%y)v4w ze`(wi1F*A@Z?h!M*Sh^h;M%VoCA6T|cbQ+p0-k1-)o?CtCD+yUBaLcs$ppNgOJsHY zqlvz^$0%jscRJgJsSM}C`slMa_iN^BBv=e#H~tzg2@g+SoPKde5&~0|x9@ah-t*^VGdKQ z-m_KNmT;r}S+3nbswh0}k(UEC4WylA$WVT7LdJy~ywS#Bhz!C@)0BXdKaX}#jRY#E-M#&40wbtw zbe;}rR0PxO!FP`P9fj=BL#obL-yGRj$W~}@47B3p#7;kUhXJ_}u{$<8VDNlOJ>s+i z*5%vZ$`3Y1=d&(71OsmLkR|o(^Be;R?05(2Ea-E3$ z{%!TkC=t%u^3~@!dV_`<`=iHL4;>|TV2w5`5bTsHWK*32$@QK1lFNDZYX}Gm+^A%8 z7lU(Xj`m8JIwbFdNnJTdXc15H?NSv0H>F>j{q~xGPJi96COtbc?s$#fzTSuLHHki& zV3982!uvRxeALsT6gby?CTZEa9-kjK_`dJG=TFw_5PeJZDcv#N>-{*t@yOdV)`yH~ zpyt}^Lmj?Ba3}jm_;7+Fx!*QjP1=A*VZgMS{p+}69JJNx^2>{uLJ51VibA|2G_286 zTa4kH2JhoZ0(cM5#h1x{Ld2ciw?rQk{Y3QJ9_{M6zI3<$^fQ5f1THR#Jd9=Ib%Jd# zj;2J;8Ip11T+QYys~P^l{h;4>JUbfB*Da5E%3@-y8~ghH_nl&gIRb^^UYC+%j?WRrEvQQ-(x2*C^8i1Bh<);2l7>{JXRWqUs zOiPr`9oqbem{*87X0_&5tDJ!$IUlQ9>>3#2y{!xtrhSTOHsra7n0JVrQ9au{73%9U zNbKHSw{1)6$iVQA8;u+ZHC^hJzjIv)_C_6x2;r1PjH|3~?5oBU6P^i*xi$Eqr*c;` zs_AS|M}>>vnw<%Hct>OYhI}BRyejsl-Ny-4oZK1iCKLqczg!d%-EWEp6Qq7Giig3b z(9F$L&B|~uWK;3N^MCi<+jsWyCGWs`wZiE4QPqGt5{4Q8ZMp5`tSY)<}OJZfX6Vjcc)xbQOcuqaE7stxwy-_X*dHjk*%SS&tx9@fv)iDil=!0zjo^t768kd#Q_ep*=)4(&=isU4k#I>9qeGQyjjPfO&l z5&0s7e>UL{N%$WT`~AfJ8llf7^hd<|8gYL_%tyBjUgn&;mI7UUv{peLDZuD(rR+|$ zJ6ztSeRxMoJg`@b@Gv%?1QE}3Q+{}_@`*%Y>X9RsP&_d;W~dtqcX`F5PA5czwgV?+ z4g|pKc~Tbtd^k9FM?}B=5rxlHV^sa~%4m<29HkvT&#^uBd42DNH-uhiPRg?Lh82{% zhpI0YKFs=CNX71h5F5J_d(;!5>wyO6SM0+^e2!IxOK{dn3(cH5e&?M)46G>GaCfAo z0`)bvEJ1-&5VFa#7R{$XZb9>bK-yFAGnV)67cLFBWSO+-jiL!sSn|9~i+PQxlY1o5 z>AHXbB&srC6W)yXGZlq<@ZkQ#oz7#&cES_xaAp`mr_;>7@0t$;AV`&8<8oc+m%u z9Q$@Wzod@{Tu{C6d_0}s8FBwSS|DqriWuHKe8noHg1Tb)%*BW7kYwZbl*Ub(WL#4C zeO&en&O>qvbTQw{VuvP-hA-=X_eU-rNB8UBwMI?43O_=mP0^UcpJD?QoYPgeL8`rI zi_BSD=%_O65#w2<0X|0$Xz0=jwvFspl&FjkA6C~vEV})a!uA2EQzJJ2^f?lG@T2@u zw3ixUJm#4b#%YO~M+!cD!}CFX(UFs85uPaTM>&Zl%o^R=zs~X2R~0pC<=xx<&=&P( zJT;}kI;g>qD<#XFv3P$ug>v_9oWnN87ApTS5QsXFR*}3K`cDRY;8)zC8s`rjy$K}; zJ_Z5noP_|bQaF5meRWHqL^!#=(;m3K{sLHk&LyYoykU)cRPJ6A%d|koUjrG=A2kBI zlbP4r516CPmTq?jRHYGko=eEvrcK73TQQqTZ+V&_qK|0IX`OiX~KaCZH_VDM4T{S_Z0*a8P3!#wkYBH=9@3|2D z=F5B1>qBWQo|76BEPkYcO?!4#+l5^)v&Geu`>F#l*KC^>QF4ZZ!?XW1Piq3Zr&`Z@ z1s8JP5`9ec6VY$fxotIql&=5jX9E8ST;wY4dTfHvFBhgC7Y{t#iwNA1oz5vKcoYP! zw`d<-m`#D-E4iG{?D78B-*cIR>SJYj)=Z$??V8b&lZ*Ws{y!cQI7{F!fv>bI*8{#C z3?}mc!3zZ6ogbGi$aoh-=7)>7Pb*&Rmx8>b&9(Xl9uV~M`JwmJCxB=FX@MM!b1f9> zE%#XCA&}DENfYbH`?k!7^`Fazuf4B+7%C-_`HbMV7~xX^m#U2Z!+-jZ1^z5$=)sfj z^6+;!zvRZjqGP0=X0SYybdksBD493?oU6Pj8L^+;U!FCjdc?v?uZ{?wW@tMsdYjD< zgtn&^RpWbdf_I-r@N#JQkYJKh!eA-G9o`&q|0-BiMds%RLBDmz>Fglhf_Gu}Q!^m= zo#6d@J%K}KpZY*Flfuy(IFEb(eEEs#Gv07AJn2hus4&_+7cusy^DcRgi0DDRH#tR+ z*b{?!md!>ezEopYyTcUiU#9v_Q*DC|H#3aRNt&Qk(Dk$*`>`Jkj#;9( zL9c?c$sputO-;l5%oS-L=-*$fiStVKt^MAmYK|J#a+0f9f? z_NlUm`H80?`>}sSn&u6q#~K!(zVwk^*$wA_KNxEN#U2N1bPFr$pVJ{XWBH-oP&7z7 zv1a8Y$AbrRr8U#T1bDw5aa+nF1C%aZuW;BA2y^dmPj_v{`W5Ex9U--z&_~O+K6c~? zM6asWXla^|zgNYk9^V3-7ujsA#v)k~1n+dZN|gTugN{qnlO)a3k59I!FWn$CSWg{UBuGrHteK&cIn0^;y^d(KJFzqLh6U>R(bZbamI}{> zXM#qBgW-y;Jj*w{Urzi!4z{ew4o5n|BgbuTawGZBphpTbQg8$9{Dh+ZPx_F&$=>iL z$r`RUiImfsIe`5&%8d#R>{FF_H!!!z4-U|q9x17FMBg`8bJu-SL)?~Vw5#6+7{h9d zWAqbXM{9`@C7%=QkBTaf72t&zw8AI9{meqS3EslTRR#p&Uf{NA_H0Z=EOZ|~zh6RO z@u|)EM2S~ciQr=N`;{zP6cC>)qrcdBio+NscVx@Ai^qb%X$d`LknMNts?_09s!gtiOFb z1VoMsCLQL{0Md;oZzIA?(ZZzTNY>jufRyRJU3e^wj`QE4Yk6*jLZaz>wiKvB$QHGN z4xH;u)RhF!-kvEPcjWq<3sD4np(womEbZ5w2!y<@h?2L z6{~N#rD%oDrtL1ftK|v)^rV+js%CKRcTM|Ve+9%SA?JUE#{*s4R&?+SwIsUZ)Df9J zY>v`{>FFFMnvB5)y^ zg*nJVhlD&_5789sD4?1vxwQX8YN9);7v6tUvqF`1t;4=-YGhpc`r_Bwp6&W@tgxwJ z;)x4-^6N33o`%x~>=ssc$5-#nrz3Shz8Yah&Kf z%8LQYk1aJ5)}g>~B%5O&C%z~BTPKxIbb5UaPr@9Xq?Y$fUr1*)*?iy*zDH=_F3DiU z`$fFU3E?wgO?KZFt-8cIo9p`g4MOHiG{noN;LR-tLHK09C?e>ROXL8>XeN6Nd z(Qi2Ig`VpQ=|BBU;2(jDb3AJ0ZQm^*y2v`0k69cMxG}QpmV(cPU=Y5_-B-t#3gI+g zMjw>NlkcsAbice)=EB)Q=d>KvPvruE#{|w2_)Fkx%sR>2^nEay2MAsu_)b+gUPRdu z=T86S2fi~8L&t@W!RVR{U(=);&gc0f#JTqbP(8l+R>&^}oXr;6Xkz1G$HSs;2_NvB zB$U1D!bCPic(I@8ypurYGlJhv9ZH(!jWvP)%YUMMHEjuoT#&N5zRc8X2`4?Gt`&L# z@OTtm&I@EE^JX)*;dl9LCq(e`-S!B4YwK3##NE|d8LQ9xTMkqQcK+Q7S=U@;CF)e7urW{R6Vi3c2zJl z;xUGtdzDu4XKDBYvcGD@NxCg_zDsv_%iO;TTdxjy} z+Wm>e5YHbI*WPhjel|oyx>6S-H4Kq`JSqDC{%2xdA?BFbVc{<$tHy}nub77}Q-gc0 z0F))}xfa`z=N@9-QA1K(JnSxDk!hD{a?%UJ_iHbg=K8>8=fssU-T>(EaQVeP90;<{ z^kRM<4g}+(61H}{PbRY7$iXn}33mok4ZJyhK`P%~;U|8d+A&ihK(D5O#BX;T`(>kw ztlZy-R(vsqQoB{^_7oQo_Rj!z?1z?ky&^1gwAm zjQ8G%xgfGhh2Oft1q2wg#(K5RARi41I{lCMe)sv(8zFFpSotZ1PxX#qrgf)~IH(C%Q_`a~Z*a>_b3tiYb+~8NoZqZLhzTjH&Zpz=!9d<{D&DDN( z0_T4s^;dYjU}2&*JSxBgm`0`MTm3!3)XpXObE^voHQTI2D_WDk*N4qH$_pzdpqA#F z>ZfW9=2vA)&y_pDVdd#%{$(GK+Vp`Vgcr|IUT+fz-K@d=_+~z7F>BZsm-A+n!vj1^ znE8J%;(XOcezgv=~7MA(U6COS}RM4mE2(8nUy&=NBaDS)dt_CMR^8fd`?zGS~ zT_<=HQuyZ|z*bZPp5o<~>_A=keVVY0JsjL#Ytvca0pixm9;TOE;mT$92f^b$@G$9I zn=iiq)xXzRuoLH647F`U{GsuIdxcSVm>66j{)Vqe49;1yYThJx&>s6ka2=9dki)uQ z_rr08mtzp+uJ2oCH64Md8zOg{$fqT8qljDt!atkvha`Mki2Z(I?}pHo68a;DNezIvvQ(tkR6%g<_YBh%-Y2YmZkgcg;}6rTUZ)=PdclYO z$hPXE0l+~qXH}Nu1u4Ovu_yU_;k}r-Q0YZK;AVOLYfjIf{JF7lhxGTl!4Pe1QF8>p z^Cm}JrlG&;4fd*;lTJZ64~%=Bd3Tx*6!%dUiQ>O+O1n0#tU-5ZO?ow+h5haV23faP zyZDjoBwk=XkVe7@IKA^M?gjfndVsw0o>MsgZLI$Hlp|K2{I-|A_1P43{bp#V`~skD zQmSEHNe|YF{;&-UW4*rko%r7!&g8o4;%3-nx+4PYn1=Pz68s?NSdo)34c=={t!0hJ z?`A_{`rBA`1%jZS#=>0&oG+kRdMo!Leuq3TLa|B71K!nDdfe^`fMY+uT@SJLh7V!V zw#iH3P?MW`Y%(9~nQ35eQ->7n=lv36hwo`V-nv=4i0i3GCj4aWsuASeZP@nR8RrM9 z-kN4^3;{oXlD%*l)*t`Hg-=UVtP@%|r~a-@f!V=B(0b!~nhnlF{TABW(sth+z8!Br zPr`c)1TIO%?@)X3z!`442d1B!#<}ZSaqj25gTPVu&-M~-d~SYbs&iA+9SSlAn$b@$0z)9q^vxAk1WKN zEBw_NBr@Kz{W%f@SD%Jfk573(nbRka$HMNQyC|rp^3sc3Cj*ndWn#=Ba3DmKB4)@F zOm?r|-PYs`z06xAx&G&UJnGP^SH+&>`abh4^1LP15A9bJ+RFi6@RTiMIrIY7+gF(> zQ`GoD3a?|Wt%Ea+JUX}du>$Mz{`o>V%jZMJo%~-h7u^kAf#{=iF4WA6$Q8T~YMV!6 z-S?le;_Or=j7t<}^f%-DNTN@Pz9ss!T}$vNzk@lB7FvBw?g-uk!7QM!R_+>xmO5r1fNQJgc<_J*IS zmkWPL;C;u<6|1lhJaV6u%%vJt= zlYT##s%;yn4)X!cHd`(4qt4{_$mfFs`XB0DK&$hk#McH#G9D8+OW-eouWR2!3@?<} zl6ipO1%mHP>|+kSoG~Nw!`Uttt`!*%PNVEdL+=+nPI)^aJbHRkA4? zH(_3LiraL5jNcYSjD>b6P#ThXGqLE#mRsr`K=ABBXr$$Z{2($uxh1n+P3 z->dn&igQgZnF}59JJLZe;AM^Ugle02P08(^kSSOl*>vkFd5##)hz!DM(zNs`o|Uz zAo%OorvA9~NFQ*hQ;E306h@wVhR|<8MF0Iw_V%b&Ctd9;6R*?~Rg$Ld8 zTWT&CLVmhL<2@AztTRp9xs3gF^NfOn+RZ+`Ny#|pYG-leO@FXSwtA@>hW$%b^#1wf?Flb^M;u+wYD4Wi-=bm} zN%Hr4OJ$W6(C3MDWm^3~*4Ve5ce?MNT>HmJ4?h1~JZ{Bh&X~VMQnd9=w>1cbKvqH8A)*Jt=8#*=3KN68L?KpI`-&YjC`lYg9n)PRO3Gk_-Nlm0J6%?h*Uy4pAKsyWTm~4G2JS?1X z@MO}*eksDqKR!sI+pz^Wx5k`YCoc~9KXN{|RrUU%$}|U$yHipHQflP7Qf}k8qn&{L8!w-A zjP)}|VQ>5`4SXySo0P9}|94CD?WSD9?kEQ^m47MnlYdoF+ZG-KE&e~UzB``kH+)|* zD;brNGAbjLj3oOuvLbu0!{OMRWA9aF8urQvg-|jYGTsd`8d8Z8r9mY{11Wyb_xt-i z=kt1fKmFulu@02`}l7s{;0T!Jc*fFZKzMK!w+{>5tAqxM-}D{zqAX z$X7VaoYiIn0+vA|(s%TUHnEDe?eqFD_=7QxQ%V!E2KT?-q@)9#MgpogZkQ07cBh|R zcxplv-H4at;FG80!u`)bHu8I#5*?Jb%j(5@h;eDOb13pd?bx<&TyL3G2=S88O-{2+ z1jeNyW>c9Xwf10L(80d-rUB8BXpyaS(S)#kq_$6e;~TYQuD}dN5pKA4Q}p#MhQox= zDwcZLNEO06xb0l`USlHLX3etF2+9|)E!wTF#6cWuX*}N7CICH8J$*eTT?n_*AalxE zE21SwYm0m*KqZUd<%c^C5wBH+L+taA4#9OA)LVSH%m|>ajPCITv$DNrepDk{I0tBw3rQf%=M}ZTFzf?Cl zm`8?5Q}-;1-8AI4Gip}3jz;$z!gY)5RIE@ck#W`*So_UuxM!pZrNpDvbx5By9;TXd zRDeXUx2)%`k77r|Ve;xJd0zhnXuY#1ibBzZ^n7!n#goo3V9WUAFw)Z&*G(k*mYPBO ziQ0TuTczoaO;f)N#9KO zHw|InKTI1(S6Q&EoM>-6nha}FYu@(UK|0NU_zd%#?pU-}(oNI<@L&1gCvCI3dO(S5 zJ6zG}i1y?!yy{tN410xCHO_u8r1Pfmn(GdyT+|87v-4e)>v~a&be_KT_y=K|UC${*+2Yv}Q&md?+AR0Cg_ub}&TUZF(;VGEew zG4GEYR7-pn<_XcHz|gxQj_~-A>aZ-@S9_GV&)A`VKRg}RrOtF+r1ufV$4yUeKC6iO zh>`~udv_5=(&t+2_i}(#{SCXff2D|W^;x?#-W`N<>Y^~?)Q8TSZ8GC3Eb;{IS8yNW zeBZl3{}~@({@Q$|Qf-1t2C<4d$_v&#fcqZY@BGToRUOPS2DiF~hXoUMgnwLkp@FRn zam_?hx-w_Re2LyN?-!~&-c{-nEBE6873({6l4Pj5# zE%kl1|K^kI=s#y$`78u@8Ujm?`qSwB$ifBc-IW?KIP&xhF!7fYi4B+kHY4A@2jA`% zk(;PsKj3l0Wmp>)hszX>-SUF5cQ3u0$^+re?L+dRwaBm8@V0Ts@6*7tA?*~WL;`pf zhu_XkLi$M+N!F{3i4gy;V`F_;2Feq?a&PHW5OmaxcZTygLj_yLo>v22P?PwxD~HvL zP)nL+d164Oe_su|4&|TJ348bn&mv&`^cr-_L|k4%G}0Kn%)&YH(TBF~=i7omNS z%d!EEeNq1GD(VEzr^WeeI9~+&XJdaz?0iBv3R^6R^!)|T zcbrayxTrz<@Z4CypWA$670Z(w9>n``-))QTv9Mk?OhM%B31CT$3Smsh0J-}9Z^9ub zAfzy&()_Q3BMGHdELz~#V?QBTlPhWy{ zwq~eigi6FddXU|G%m?1M=-11}G81XN1HV%w$%Gk|TEFgTDDh=G@W0(+LEKo=x5=Q_ zg-}24LL+W#5aoC4WcK#T5-NJhFQU#_z$~e%?DmCVf@MF4d2m$}A@$|NlZ|gE1jYr9 zgS^+bh*Aj^aa9jnPklloNAOh4Rc9i((~u(}-SK;ka9bSF}pTx-r&bQ5p?6ibe(G)-8 z`>nsrIxYU-LvBrSVpv0HiHi0ct#Kiy(*$oNwMP)nENlheW2nS#(G<0OPkSPhE&JrI zFmEEiXZ*g%84_IIl5@tpKZ0Oix{_ZQ=SMta{3SWT=|*^+u3T_f??tTjDrMh3NFt_! zgT#7|Ccv3%ZoEw>=jD~X#UdBdYvOYf`&fBpP~jBFT_s08|4xO-+ooE#8-qYKxMe%7 zBph_2;!-z`h0)J9R}W8)sY?QEj9ZcJJ?Ky5+YyZNmwbtX-@cakQKdm@>)HXS?d}Ad zgJFOz^2gfw*fY2tqzQ~W-(p0Wb(`D?Tt`fgm~&5am_b1L+0HjMws7`zvCyn&2qeZ( z_qvG&(tTWU-QqgU(YoX6*mx9bFMqt&Rz@Z`g9E)DB437E!=EO~HH8RVZ|gVLrw`=D zL(yud=fQsIFsX1T>bJTDQT6rdwvk0KOI@ALl3Hy?VBGl9@@ZwTFc3T@7}c|b zPeAqH@33n<$LV_^oXIu`47Hgc-0rq=aWD@s9%G!v_>1v%N6sJ<=bI2Z4`5!ve8*QD zOk?c&mmfrK*zemgYDj3ZHw8Wn@c{DCGpFZvoB_c=3-0RBbofe(*5;i*4(6x!5OEZAJ4S8)!+&+wk6!Vic}g?W8p>xQ3JeK$x(kdc2Y=H0sj zh5d1ty`bOYRmtwi5I{_F*5+O#ou4feqN8fl+<;Sl>?!fW8Zf_O-XB=)ZQGChlxqg+ z3f6qGf`iu4$2t{g@VW8tRS{hiVqlCn`b6>-dLQvcVRQWES{Gs>E>vf#)z2@rr+f+N#!CI?4;+ZkPO6m;PPr4m4m!E-y=O=7S8yNGm~MODJl2-L{Keyb z^uzEI3UD)CalBwmrT0C!-+AQpfcrxWx)(Gg-{G0c*kG0)wB?4S@Bt%93#(;Lw zva!hNSor*?$@gPU5|FvnYIgYrK(REFVC^5YPodCG35oE9v%E@cvc4O_DT!U(J8D$v z-&ca3x9FK~=p8a$qu&Yn{0<8@Gv*?HxR)Ysp9}w)T>KQCT{%`e*Z6wyoZP&&@S~VCl`;QZPjBE*V90QIl5#uPL6o zz!^J!ajZL>p5KY{sc^ms_Rq%tdDtHY??2=HHLTCZ`XfAF!|zA9Kl<_I^HUM)1PDYs z4{`3UP{*fJtBLTwnfTjq?Je^Aj}XdmR0xD;y!*BfoC<|b-H+eD-VcYA-RCP&?gN~4 zb|Xx4(RC zi%gM6Z%64ehlWsCgn*{sj%Pwj{I#t zQ;=#6dC;w;PCVLBzbp2J1O1!`zJ6n*{+dFBj(!^}Qw;(2s_&jQ@%Es!_tKBN5`BWo zqBPo)?hQ|@)}0<=;umjH0bK#mrBG?Cx`i^ zd3(ZbH>1p}Tqi@3u3pzjz_Uu67kuWt1AQ)2<6RP z><@EM9znpo+UDar#EXHh;y5)S0^<_(-4D>8M*FwFZ+faF7!wb7B`~BgI1n0dKCCDe zY7@5w7R`UA>?1Z_r%H>H42TJC-fnS53*uLp)wy;1%n9EfyOU=UJ>iE(4)c{`ip0Ry z1{M#iX|;lxQ;Kk(LP&F;<1Op7BUb7<=E>{iprj|xr#KvlakqOzv3)4-=$>TKGK)E} zpMC4}Dh^emO__2yo)!InRO5sz(~ODVsWTGf7izHSrK_T=H|op##virE1;dv!`J!*R zg6QXD?1j;lr-G^Q`IP$V8PvC3W#)VG?0F!FZ5eCiKss*mjaD_Ciy?r|x46t_3lEn_ zh-2$<;=jN{7?jGt9%qn(-FF7QwOFD3{kk0|eoyu*g z!D*911g@iCP11pORkSyJtNgTnC zvg=a(g*^ud385CH?643xRFN0NRqRTyH@!C|ob1&xaCDdS-wN#{u#d?+_L|2K#wMc5 z8K1hr(j?WL1B~<$Gvu{|`TKDmDk5ls1KvSM$lN zx*iaxe7kb(d?Nhpr>?(``s&zjelj=8Z&=mZvhR*wH1rs87v(dh!<9V`Tq`4E>3oLy zO$(3jlNWqlVkVpi{0>>>ew?{Em6QXQn8z=By8BTq^kR6!{#J%lQ+UCB5K~{BKXSt2;p> zUq0n-*Wc|maagoRx{!Tm zciD*~6RSxR#y=T6V9?kh_Hu?d6wxYk&((XuU)e``)@Yyo2B)1ZO%>_yl@h-m`o5hI ze*Jvp_^cLWy8E4-khF&hTc6&lK{BinbX##IJ3vBc$}2`yQ*dAPu{#Roby|vCm>Z7w z0y4GA!tNK+XKXzqr?2M*l|`2;(vLgSzpqr1XQBUZ$_hxQz#ayvAu*nsESI4CE zgd#o2u=-Q4U&sfHE65;)LV?bi!S&BO$#9}0sWyt{2isfpuPO*r;EA$#M>L59q#3Cf zo6`J1@N4R6BjgLqX0iH9?q3q8-;-l&1Mj*(DUlWzx9kYFkKQUBI_FJ4C(O~Rr}~YY zVf?*Ryx$)$sFT!^bQ$o4pZ>B&siGw4PhS4eoo@<+{Y}Oysz10oG73B}H%ESmt1_Q> z`G9uzCLhYQ3;kSedR_FryCecm^tDPKLH@7z&Af0OCUp43nA~EY1Md~7;bn5E{-{o*n z=ezNA>VP&FRNk_2^C!cZ={dPg$Y=85XXf-(R|Fv_b+*ZBhZhLl+W0;tKNK#Vf2BE( z8cU1|Lk|Ub{a4uoY1NRluaG=Ep!&6(+2Rf>UZX`7==TvRNU7>&bfn`_jf6Oh@;MK9 zPTXxFPx(TT&K%WGI}FBEdPcm1{NYV4IZmj`52UT1%9`5v0?U{}1D~`DC}r0qHIThv zvc}oNz|9xlNDiGS+i44bj#lUkpK}4ZYNmsac6vi);uxAIyTWm;D_`#=QK3@&QY^o= zKTu7IlJvg%fM=S)ZjPBy7_<9)Sb#YYKH7%LHtGh0UE%6aHSQkh{@)pqg?vYCVw8$l z-a5d{35l2&$j`}A)Tz$^=^XJnxg6eGeGuKZ16_|NjlL(tS_ZavS`Ky)f3ESlyNxqc zc8BSxow@~8j79opf^h1bF8`};@7XRFh=i!6rnKxz8y?U}w{{`TzeWIyCb zwKGwnS=o=C1BB}q*Xh#Ot{VmD{dtq8&=l`cXV{$dYw6%MZ>YPRercVj553-6t+&lx zDfR=UqFr~4#gUF-U!;d(2n{b6+n`DXp!ddB#NanZ)>RIYK9H>_QBI+89yrqAW8?dIp4 zqFo_@LnOq~+m`Mt!eV;=TpjW+Tjnrcwe}Ox@fhPQ#$SxD_kybq+1@aw^8n@r%y;LA zWa+7=|MEj4Rl6et?PEi|YuZ*BGhkcIAmeh@2IAryKFot9m^nTSc!~5br`)G5jSe6@ zK32?HBVz>tUWZ2h+_D7BXPDo5j~8*29zXma{!6?vFqIME3bxlYpEdJ%f>Do6rzx6? zO7F>>?nC!t%$tKHjv7MM{(yN_uXXN6Nl6f$rz^HZi+%g+4sxa;+pqTe(s_5V?R>-U zM<_oblkuufIPwMf@TmVMXCa-R3mz6LJTrHP2McnM{H9)j`5p7Vp8p2EScF3g1!?2d zcwaEM+9FtwbPpGDJ?2|Ad?DjeoFS`rA%Xh{ThoH;eQ{K9NR>UAZRUe`kF`lM#TzDA zl+@QC|FTR%b?eb=4SVC zDmad=+7(9cdvL##93LsFH%WnZslwXPN_SY#z-m>^iSX<)dsJiz1*BV+oH|i|bX2cJ zaAP?Y1ow9)g>QBR{U|XN67o&R*Umj+e+2RVD-)_@5e2R!Rqnj#3q-+t<+mcjlF;_Z zr{Umdl*jJ9E2hKV9rOhhW|Yv}+lP}=#&*RYehMsIEkQnk4FCIQA(qcqS#H!i0M3UT z6&yO}PXD@j;N6wz-H0!QR;RC615k*Do6xsny-3Ff!uFTdpC!A zL#t6knYR$i;X2TB-Ss@mvz=T~bvzveM~I({#fvmhjFx8S=?Z{F3+m;?x z83M+|1twqEXfTn)c3@z^3xXMDHBHg)Z}8m}nG7_?U)*tF?}*61K9lMJpHgyd-GROP z*UdJiA2R!pe;VzJbJxvGD8!+cfBwF8}J$B zw3F|-t;9IP#SQE7pd z?`jJBLstI#(44I(?>uC>{x#D1=|o=*@=kCEL2H@eDphY#Sjv^v^>K&n`=93$Hxh*2+x2u5%V#)faNS5s>t};I zge@)|_)!%{oLaW{J|OM|_}sjl?fWL=;t$4i_ijz}c!SZO0V6hQ}op{Mn8v;w2(?MCz!Sv5L2%OobT|omDN#PmFaa6k#N_+wM1b$6d3h~b~lWN1Cv3bg5N$0(&w-Y8z>_D+~;Yg zZRAHkCl}^c3#A{`fNt?a*Bw)7&|$CM{Hoap3jCD$4K!3h?^CDF6Dec((|>7!Q^XTw z^hnYr)gmy!>vZkudZcd;Rw=d2x1ygbh8s)e`ef*CU}*tNbGE=+ zVE{ZuJ7e`yp%E>@)v%CwtH4|Yx(pD+32l>3Nky&;``|3MOH}ad5 zS@GWX7j#CYlEl#bQMmi#4Qww3# z-`Ea3(>a(G0M!*U0+&w)g4;cB9}xy`;J;J5Wf0*%J|{O*)SO9Ok>KeNUm}ch>PU-z z$ujls@UDtMvzT@-JPauW52m02^FO?mU|b3VQ3|MBj5bzDeS=&Sm6pw^LQo^0Y5h zY|wa`K=K1W3m&dW*FbtsBCcCpr+HN(>a+RCXZT(IUQ0`JxVvL(JYPaE1WU80pHK3j z*W13i)+QP{_m`)5Zus2|gW}B*Yxe$+5B1$THE9`?D=b#VlXH^_CmQA5j~HC>HWC}78L#dQ_mRxFfJA(hD>{n_`silAC9T+Xn*-1-QtO;lJF`k z8YJqp#MZwKg}kF<ozF18m5j^}F}msghyTdiC@%v#y1`9!Ti zAh7H_RodqJKYjA!2TlyvcdOeHFR6*|}n5V^4GB}PVf@%Pf@ zKsxUpxmZi8dP0SrVO>&_{79#5KB;hhPc@yNxs^4?((F+G{V>rkzS0jczhmCNow6%B z7X5!Uu8T(u0}TosF19iw|AdQyTlS2c@`FpH4Hr{8stDXigzcWM+>7?h*bjauyP!Oa znu)B{!=q@fVrTu)ogcj$tW5|Q-|hr%y6hiPkGq4ytSj~5uqnM?!F|j@>m3z45bt6B z>NO|ciE{=*V%6DO7TH1cz6bX^OaATMteMVmeTr1!UTzC~=SLX&Q*0nCtLI_}+Y#tC z+ShhOfC7108TYcCoxvhkRE6|&duFP%=rS*?QhwtM zg)@onhM*;A)rS(l$aJ3 z3aV$$WKLwp!PA+A`(;ctILN2ARbS2%EZChRAEN!gv@_AdzKG8PlM89G=xHAJD?_V| zv`$rcLE;k|Cr0Fd;xML=mwwV0a=U|mh$sg`yJg+ViPPlZIgaZhBuA%H{f#I$F}ksSQ%nN)9*uBB5E3=gU|l4Jg|`v-+U? zas2PLYH-RtDfC49lS|xf$d7y8h7=!e;R|u>rlkhYU7^h;@Z~cjGza^zh3hujvz<5Y z+hU4*gLfV2k=qjP2Ln7c^?Du3kaHkNRCml4VwWQbrU6$NeZJ#)#%w6O=TH$}dg%kQ z?=GlzZF7K$t2Zn?6^;>!6F-tmCcFTj8+m3|qs@pHtgmT^=SRCiHHApYLHnn+=dbXx z-t;D1JLGK-eaR&Xgp1RUb(jLq0mu2YIL8U+6kz{s><@|kkMMp!-h;t9Ppm(}@AUW{ ziu)stV0BJ`43zJt5Z1@?Bmi9AIt;tq4}#8f6?MNhhCsR9-sIRTj_@<+u~DEf6-1sT zYF~To12_J*_}rzU-{V-l_T{6&5SlRJKwXb=a6|JL#$zL3MoRzFFq+5X&oyf|-furi zg7vA3<1ZFMU|6c+k9|fo$jBG;^hGAXkGelD;k7Y9F)yAM_f3E`QeB^|8ZBUr>_P71 zQ=%~cX>WKCE6P>)=bVVKNTx)8wjpk-EEWbX1)zPq8^?M#xd780ol)t{-#W8*8B{N) zs3To|*@KgQHn7x|IK=u#oZv|~qWeenc3($q3=UFOq4QokZx#6Ch$eCFle$=if(7JQFU*oPjX`!eq;}Fq z2XvlsZ+V@yli=B;%-qCc2;(<3S7edy7~{hGtWyjXWoksY!lQWyIT0dL?7}X`rK2EN z*|y%yK^h(*$>q}bgLGUP{9IsXf^eg;=oL##t{!AJ?U$RbFhPEGA?{OXzxS|l`tr3p zYsmWH(SGsg5wP%WEUdkI7>qL>3R&@Mg6i~$x&Ab|KYN|>w`tXdoDKCo>$}t;hql^9 z+E#-oIsa*dq|HX`uOPK2p!dZ7@-{sQK{F7&cg(Cf&=c}h=I0-NFagPJmp1QwZUckQ ztoxa3$WT=MI=JhxCS1DSNcpZrhMQ~aU+OId!DPrA*Zm1p2<_<=|EA$jKPO&pEou7` z;$e5!s|ndbZ%B-#43uo}h3tkxr|;)zVBXpv+K%4w@cAwq=O9N@g22oBVC~&MhVV$z zsrew5@Rb-D3!ZbO*W2v0N|h>_Z}&xCiM}Qf2e}V#ubr;90Gn0fx6-*?!AXdPIfCK= zLV5A^4f~y7+4@PZbhbO-y2W*j>j~Fep2JPr1nRT?Z#`rD!?<|y{+WBeg>Im~PR_Wd z*@&(WpE&DyVi4^|-VUjrOlyw;XAkwc(D)F#zh%Z_Rzs7vc=#)kN-Mm1oQ}sBXEFX_ zd_5a|q$0BWUmn1`fcfqOLrhr6BVRf{s4e}Lu|)pzqXuU7vT>+SDtGcs*b)a?*Vs+I zUxsj;lLMVM%>++~!D}LN)kfv(U_+nkQh0= zolwrziBgA=gGjIc5AO~x&y2OA{(se)>(|fsdO}g7u#sz04V|Bh4)n^dJfpzcbILk0 z%dUX=9rOOd4t6{5c(ex@#>g}x;{g?QLYoCO{NS%fR0_{?2Qa=Q%BEFZP46R8)E;x@ z{jvw$pC1Wsv|oPgVbzY8SB>F);@+vSWS(--G*|)j~~yy0XYGytAO}GMe{r))WbU zH1q|#$MwheD*A)0?&_*1)`4)&cxp_eA^=QHKUoePMRP4h`S|muXy0`wH|@+JKPZzh zn{7}=_c@ATe&l5!zA-9oDn77-*m8C>l^fh(;A!lX3VJ7d_p>SX67p^QqLOVGiSF%( z6;5+)b)eAszaf3FN+lKTgD3{-Ue^8Be|qumozo0M-r&%lmBr7QL--m$n-_WQ4c|N0 z<-FME2f67F!-YCca)Jg=_K&zXiTDF|nmjfA56X|9x^dcP4HXgvCrq39(EdWckONo0A4GkX7_FRi z1LfGjI6H-Z^;9L9ZYD+hoso}j3~!q&%31I+-6tQ1@{QVv&U@%R;=%9+(zP%CkYg0= za%cwS($DD75>P)EWSCvMbAbYX4wu%P-j8xZLQ?~rFOs3B@8BWtd{4Ns@#F@xDR0>6 zI@0xQT{o3p`1d`j>;0I7wzVg$Tl?Xr2=als*d(<*WzGZXAeBmMsu}*%;94a0b&a;W4`Za0He>Uw7>7Qq~ z4h5t4m8F#9@rCGqnf>XnuCxa*#MnAqH)@V8ebg=J@BI>d*%$c_ zeR}mR<4cP>$c}TxT{vw{z=eIs^s};wg-wo+x(dl;uM$r^_)2v-s(0jZ`BHft$v@POA>;> zNrFFLFq{V7Bky}v+G((->#;`;njg!LhkX}Edb7~r$%j3t|5YQmy>$Ie||mq~uY= z2WRAR^>hO1pW7KKyFz0KMEa0%2VuuR_-?|rI`DS@gt<rF|;4QD0jjydWi&&ORD;HZD_!(p35YR{Bgf}t!DK;fpqOW zkzwZ)sE}ItlV5C(25vtpB;=4E`enD9Ujsuzf$2q*O{!Knyx3LxIE_$%@B=S@&dpLF zX#RC|zNQOQDJ08Z?$?3>W7nfhC@-Z(n)Jm@AP8Ef=ax1d51`{hW!Z-5<7Z4EEb+iE zmyfd0y;}YS} z_a2(jMdXXneOrZT2<;bZavwM_am5`1)*aUSjrOe$n?1l+%EG+fg$gE~*#bpNUeH{T{zGrUkKSkDI>z;c>-6`ya9XI6*MI66;~&Pw z_^k40tnq&EX;QGk%brZ%!`nSAezi$706NT%fBfzi1e}+DQTL&FA;z8f;*GW(`~k4H zhF5jfg#bDpW1PkKi}CfxaJ9bFtABX_^8)6(%p;HF$}`Axepq)oO(^DtJ2<*JH62WH z1UJ5h?j_{_U^nzSbi3alloao_kkIef#rLMz3ev4HrE)@*QZSJ8|Hf#g_|W+b^IMbU zd5YYK!GHMA=v6|*a3Io)Ei+%8L;H4_Aw3sf_LIO!Z7siy8;Q=FPMp-WS6e&*^Xw`W zhU@=>Uzn$-a$0o>l&h5VV!PJ2G8&zC1J)iYW-vxRELjGe6_sS*$-d2T{z!pvQr#k1D^SeYwZVM^A|PfQrt3clULXT$cCFhJb#)@;duQbA>O*kaW{uGL8ieD6e-d7x`FmFeb0qK0 zKseJfapi@xAIP4cQxR+WH@B=-!OZIIRfv+ z!7Lc0U-Q`?qPCbe?vjTE{=hGLM`_Iy`(UDNTlgV7p{zBue3sYUr$K`%#153S(Ts8Y4dhy~at#C*Ac z@{%?L8&YL!gTZC4?RehW0F;~Lztar8OEUcLpM_Yr*}lvU^j=-x8#CKMrNCaz6J<51 zzxy*OBk}YV%5z$(nejq%<8NG6!5`WvPkQ<>nF63-`~wo=AJc^IfQWSNN<2A8IF#h z*u3>qAaLiuI2p2vM$h}kd6qbT4d;ts|7`3JiT#i8J}};Q!TM~hSHSZ%eBZ?VQI_6= z+JXn6(52OTCf_{*a@e&?N>BPgi|tBGooxX8IC<<^eJK?b1b0hbxkiH~pCr$Nj6o1{ zRC=A+V-MK)wV{5;^H8`QetoWDT?qYi$~*(L{ssP^`H^EK|1a7Ty7DBe44tR2R|N+r zcE^Cj9$VWHv>)xGcl6!|foSNfYCmK12IWMs38}k2G=SiZn*(LYXdeI1IWZMWcIx@N znP9R`4QhQu1z}qFn;-6;@bRv@{>`n2h@j(PL*J{=zHcg58^z5PmXCK_com~SP<#Ju zNK`>Nl47&puJIet&y~{m(!dH!lz-9PZ_^pA316JS+?Bc)lx`Z;X*^sDUgM*u4%~DH zk7v_wjHfN&&L0ED(>D z?)yNFg~*mN)ZcH}?_}&@fph?tFZx}Zo#Et{FB;auWJso@0Ov6mkZ^V>JD_I>^3qO; z5jS1IsLM+^klH5pb`0f{j+~CI(78TjrT#&wVS=D>9ZN|)c#INL34UObE^qPl$+rdJpSFj z&KQuH%P$>SSIFd-&Te?;PRE@W_w~Eg*ILqjhs<(yT23mXy@x@s*Nn$denkA8j9^vd z*Ts8YpmZ#NUZ=QjahM>#^LEkhX5zl-awbs)xN zk3<;qoih7=MI-_!avE-GNH@OXAAZyFGs>eLd$F<}%`Xpo`%9$!MLD6ZDP)-?q;LA? z-51v}t|wfl{I_>$cm4E(|69)(|1d6Yeq8;*Bi##p0{9)TS&`^I0wYW{8z!=-Ai3p+ zt6E1mysv9wEQ<)B=b%Ux4Cx48iiDz~$_E_l;^=scaTen*#@EX^cD;|)-RL}kc>(iX za)Z_?nfug#`Qh%a5N0%&K2ZMSycF_57|EW!Tx%EsFBVhhEI2~JGAudo1M+oy(B5e| zR2cy4?78`N3&z4-gF&yN%wRg7VSYQpT>V?#MCU*Jw|%@S!;;q*TyEa`HJTg*Q8_uP zzxjONzTpGaP;U~QH)~#$|N6@24wz>}_gZ=Jj?m~lEx6;swGNb%om=%LRSNADVcunZ zGf*6Miw5#WhyUzeKzdEzBc$p2YC1pHjPQw9qde{RroZ%$@Ae1G@0j=B|6cksgz$rl ze|E+L%|RC&8VilLpggE|fgz7|QEmEg)h?ROfT|rH*bi} z?z4quo=CwaSx3EzmpkBX@^ApX@4@{JV~`yG{7dw%5ue131V3vj5;DpDkkiS~mb z1#A2Sp|~OXaQZdm3n;Ph@bNQeSl(0Jt$F~xCx#F$H_>vK$#MZ|9 zq&g5T`4!)p^>Uzp{b{<)u{lA+=a=&I7kdhbSpKj?PgyD)?T>sGz)yqzpEh2H_+3Gp zmwTyI!Vl)O>U2Aio;QQAl_7PZe%DlNjgV0!Fi4X&w@HS;NZ7B+9_e5hxXsJMXc+>5 zrndsU*rFk_tB99E34l^yU;k;9CjeuT)MSh=#7`9X3KgNeQdwT1Cr%pl?`v@G+%yx- z2Oh}T37juOKAlfJgvz#g!yBcH{SPC8AS3)p&t`uQxTpO4CDS`Hw0>LlG-A#au68*E zmTS1chUU`JVO>jD?s_NcnQ934OL^`Vwpc(TnX}+4(v$sU+WP9soj@R&DrIgi{dew` zIk*4dho>|k)&)davmkwfg@We#FyuEaU#nko80i~+i3?V&NB7Y_8D}$Llq;M2dV$>n z<-}EoMZWlj@|MSk->&qSL;c}(G4%=_aC=Vh{Y!+iPbQ+itYn3NX3~zW8R#Cx)pVbG zmn7Pw`zEJ3u;n;0eCTos8=4E?b0c}kVQAlO4}>i_kBwYq-;_aut0P0AEp}ehUn*9 zvawX3!V>@qQmO6Z=L12aEGGPQTL?7N@2w#*dqeqop#mn$2>2E5GczI-M*m!R+tR9| zh|jispUZu;7z{&~_RL1dN5jcDl^F)LcnDG=pBW}aL8muQaf3@7gg3w1X@GQ*d{S%X zR_mF-rRP&Q2M!@0$$!p?SN+I?kTJB+WY_e^5c%$8Kn&ZrX4t?x>l z95zIHu<*M58z?Z~T;BR@vl_vhBA~uTpA5V#whQ}vjOpjfmcvfE1?kP+nAY7Q^J;>G zD^;fLmKeNqf1f&3vz4%lb-p|#f^;Pyekn}F9POp2j?wN}f!8h3W8>(a&&skA6;gC4{=) zBY)+H&E)0yPblBXM2_1S?N3OYnpT}WhTbPD$jZvnf%N^%=6hPblUGB5)%)fe7dBIf z4Y8X8^ezzm_ee$!$_>aVC|L7!|55Zl$=qz5)@M%lSzV}D z64i@zg>d`D*ql?Se@p7wo`UrIdNM!i-=q5hu2WpMxK4f6N_5{rb6lPnlc9`c9k5po zkZF-aI(n+xZBb@7`g`qkwpUn$Mg)W}=A3(Kjr?G)JnDNX=?W8T>?`Hx$Pi{)BH%>O zz>*`x$P4*!WZooO!EP#jE{^LM*AuSO8KHe+t%)@HeFxVw#y^aU>rdS>>wWGG4IBL? z{vcm9j2nkqH<^7pLxc9HfYR6UQ6P3s^Xm?^AbRd&eVIXlB-+!v^TOuiuPq65JjOVS z@fYLkd`457LMzfM|HA{A7ck#-oZhrs6Xktkepqw2QjQP#GjfUr&hC1M-YI$#j?@N5 z!_UpH&fR|z4!@TlC*QX~Ii%jaH$!8Bfa$p{@3u$r;Pb+-_IqF$ozF18T~-&Dzv7|w zAO0%@+0s7n2SsM#ZbOu_$CS$+)hgo$!_m{%73v)5ys1#E`)q?a1u)MZ;74}WXnuit z`sF?vI~&Otq|c3P%ij}B=Uo?fmSO_EcYkq-(9XQ(1$HXgvCO@-bbdY(`mV~E0ll;A zC`o;d=FXVkG4D52A0D;cfZn+|Q|8o-10c?R!qxgpFvRyC{}3Wig*`X^zF&QymcV_) zc-YONhbmOaKffDfQ10#7*gC0%S9Y)oP0W=ZIYFU(Wu&K!H3-dI)auT00~4p{qP2Yb z^nL~RF};mKtm~d5{rNxqHG8N!Qy1-dz7xDQnVo`kT>tbvxZerf`nZP&?fpdf1krph z2ErAodsA{~4>jJ|rrXmp99|zk6qG#}0qVhT0z4rS1Uawg`Xm2W6L{b8y(I$WO#jl^ z@hl9sFUlA(SO$R>U-CoWDmUO87TA0&lmwqUw)eihWd!x>8cXtK1Hs~ek?@TJmQda| z6)l8*-gy(P+J}1n)oXvSyeYKW#s^kX=L5X6BIx}HXV`(ifgFKg`y+DomP28L%%9lN zfrlQ@_kFZwu@lYnea7zAiXcCsh_$sjVV)pa(QWh&>6v%W7oGnaNg}d>DpG7|&IEhc zyH@fO9r*4v>#{D?1P&yL4Caw`Lf$jh6t&GRM6YPX{Jb{>HjI2t4ms-$RT>|Q{&spm zqT)+q%?dPcung?{g!VER{`b#9tRnUD)jU=$*rj&%fj|QvA-=bG`qXwkm>j*3HGAF} ze7;J)$PDlY82o7olOAv)xJ92D=nGk|%l6L3(}2Vi43+N z&>qf_+1>0!JY%`|RQr@WkXhtf46OhCIkCKzY<3w!c@h`5oui^Wveh}9ht8q=@ThAq z#1-c$&{WG4klNt`+55aLVs5!Z^5ku!`5ZI{TqV1_Bft&qTUMm*mG*{j2?ft?hlIdQ zChf(_X%Bc&9revtQx*9WYkVOL{9xVY&~?9LXu!5Anw}*x@Lm>V`q6J|J+^e0S9w$xz- z`=sHWL2&dg1Bde75a`L>;CaIZ`O-U83k1^pGG_o`Pu``N? z8;s$*LmiC4!m;|&`y=RmU)#hcR~*fSk4VWeu;@YRE-^8_btn&m@%%O?<^;H?Xd%9+ z8%@UrhldT(+tJT+YkNX>@6aLO7~HuqjOP3TL~-nCG*4nWE9t4emqN#-W47Cqtl#=T zjdk9JIj(SMx-^#Da6Jz4uSyREw*;d8{!{Z={vfn}Y0p|H5&|bn+cz;wxq-WeN}TNP zU^Ji3{`LjU8LMK;552MQfGFnmM^qd=VK|#(tA|Gj6pCIOf{Ow0<}K|D>*ZizYL@#{ zQ5OopZFj&Whz7y}!{@EM<6%{$?MdMyNMHL#eC8DsdNe zpAluBxbRm?x_?FYsgXQ#$YB_+Q(a?(@|>IbKb&E8Lq3FplFwYwJ9)cU4*xmiceqcW zg0&IpFdu&|f2ux;e8c|1ovV|yyQeqN=sxruni8)+7ol8*VO=pNZz`;s*cYIMavnQQ z`RKJ0=za5_I>mL1>(uU0`-hI>E?~PM;JtZ=2lV*2q%XIl`Tg!|Mg@vg`aGMf;Kf__ zH|}u3mGPX&AQvon()6w)Jw>WtzT2I4H+V3w`MnGMJRh+C{H(ixbo~~Gm$}gV57#ZO zV_Z+TPH*Qeqir|zp7_suFs^5ee;60kwSf#%~YVPUveH z+E#lg0>yr*{amy&apq@YVU*u$z@(Yqh!S)rk-`6F9n=sexKd+N-a6e{SCh==E+IUwfU zSk41S=N+lA*6AJhRZd%QHg(p&bmlajpSOnP@Y}ffLjV6`@5{fj-n;jO6q+PNWJt(N zhBCFyL*{uNZnt@!=Xow6Q)LLH36&zs_zp#)A|WanA|Vt~q3`SSe0$$#t>^g{j$h7N zXB}lZuYFzn-g{ry<=CHXcitCpe#d!#IY9X!_l6(5{CebZZf5|bcE@gWPewThb(zyW z93dd1{z0Fe5gaiV*(1i`aPNZ7F*Uhhc(%XS-&ipK2EUH1bv_RUjlr~{p)Oyz zFV)el#Tg9UMF$g(#ki9C6}*q(`+70=h*=Qe{55wlAfP=U04Po#ve%%DC-psezf;qG zIKvO&htsjn=_hDktnS6HZYz%Rsz>XbOqkt(LH7D);*=lK8z!?Z`1-;P%1}F(60|>i zyq8hc$OWjF2Oh~%xI>3UNHh!D_dLyNFRuK+3zJG=ym8K_K$&LWwui{~@TlU!wR_+K zEi2FOhrdC2@1b<;hta*(#qRSNUWxzQC&f2uzpg&(1veR#>K3&B$t|(`EtNfm_F7IW z2lNMnv#<#5H`*2@Zt$T|U{(eByTontGu1?TbV1enZmnFPG_bh9@*dvD3Nz zafKqf2Yec2?qJWnk>G^#IwnG{alSZ%{L%jQN%s%zR%-4+`n0F&e#Tt(@N(usFZp3d zpv*fpKR@XW^)jE1%6`&~{z5mfT382JL(u?@&OXu88tETer@kR`~} z`dgl4_W)gor|X%@NKcuq^qGs?6CSVF1N%NNFfy35wGTso?vwjtK4Za{fdmKnsU+k( z@b}$(lf3-k2!$^Mm|XS$_S_XXy-iHp5br-%`k+C)CX4;}edd5VQx>LCnpt>Ogn;tc z-L#p4+~DB(EL~4qclfn*>!k{%7u+6+-58cbdyOV+ZaU8cNV(vD^J(#1Cp@D~Am?hB3N3&V1fo*=2g*y@$&gZ$DdnOiB) zozCVD`bGdN0yx z+!K6epO~u)mOEZ zxB!1|vfuMG3(~vNzn0%y!4?cc{A0VBHHk2NU(M-&w=G;1d7(9i?wxCoI!Uc;qW-2; zwNFjV39j⋘@&;JMC3R&u&FGkQU7tobT|4i6eEzdyqcX*vrRA;d&5ceOap>WDNnL z;lvVwzNfY1@vkX9gb%CH+=gFU?SUsbxcw{2cXQL&pYrXEHFR>a2HPq7ft-?|fg6t> z2^VIr`n~^DrU^Uk7OFCnpS3=w|I|@r;{?rYJ3qe8L35q4)0dAqn38ZQT9#496y=8` zUvjaw5%qx4AT8ZEbccWG)Z)uwQ)ggUYB<xmD_HJe=Ia;C9_T;<~L6Q>-YX{L2rX2k(+8WE0!<#<50huCcNl-Y?bEy#5zhQL*^#&D4u>RfFWs?2I*#=SRe4i8 zV6CpnVkC2eDWis>UGyl&<}dE>+>I}8o^v4O?HoGS^X-0y6QmsK4G2ej6)yDYYX#j) zZfoK1H*H4q(Z6+y*DYSB2H&{0y|1u`7=eMsBg*Cw_-1O7?U5e{eKCA*g7hzVy~P*k z%x-fF05&c6#IzsCkG$P{&x1N5REI?LP#F?I#82jXsyEu(Gn?IETSs&291ppSeV!zJ z1YXB@J>m7nFt=v(>!llM?~T_pj(<2VW?k@#s%G*4_LiDNfp7xJKVOTI=KY+YH}vhj zT(#fY528Qo*VNOxl5i*0>@C)i=nYadbKZn5ZxSBkIE&*ij<1=sT{k$9yoPyO;e#e#X>9RF>>^|_%EN~{AMqm_R#UG^8fH(lVQJQYk(_A`pgizPoaDx z{X2oQE~vhrDRR~E+md*5xmiuz1o?m9Jj;}7o~@1EGtSdNnVsQONLTA>@2Af?hzpRAWG7Rq{WH#*%X`?);Yn=z0bHtJV z8O>KVDRUyoRqi}QCFcSQTl#OUZ#uxv*#vQCG~d`=J|{meZBFV}@IEH^v(;9fGxERx z%U`obpT@6WLiq3Lf0L^zh}8Gs{mwB#L$YHJP+ytG_HzsQ1O4`CaI#u;2Gh((aqT}H zp~|JH{LT$8FqIpR*SP5pA4e80(Iwe{n7SR+2`LwdTbqw({_Y5l&MVK@hFyVpT$qM- z>o^RZS&kQJR)MJ?3HCfR{~8J?7}~t*3W`st9geDb!^5r2PnXc|A#ISa?hcv@;eAK& zlH}nt6Uf(*_sb*ig@614rlQ5xLfg^*CkZ0get|6P_&d}5N)3b;^J9MMyd&BN_%wu*t#P`6cE+!MwJ%5q`HXdG zu-6r~Kc)}KmO=Md#ry8(Si1x3gWHVun?&UMCO6-C#u@lul_zUlwFJWQ`+}fD2Be=i zQY^nTM%@Vp>LWZ4qWdmq;@+CuwJ2ZiX=|SidUr(;5Tm2*1Tk%%b$f0jUp1lti#9pZ zH+X68YGOusc;I)!Oo|W0-Jwc+}e?V?isB92=&ysL6ctv`!RH< zP(NHGm$yQMg(=RT8&<(sO6D{lMJmd<`}=NgZao~lGU^S&J&Y!IG@Rk57j;Q5(ubxC zZnOI)CW?L0yq0ToDHBUvuM4!j>i}}q-|Hg|c%pl``5)V_pn21%Xa5V-e{3gf-Ss}! z0b1>Hrp*{!;q~s0_Zb)5fc}x^%ll|vhUe3g^4I?6i{Sp*xIZNBe}wD%as3*8pN-!i z;rlgweuVc&j#J}W`iQSM4F9y`KS6i&uEwSMnQlNA#|Sr zucmU)J6PZGIik`S@}6>?nI3i{y_34>GQp2dI=4Y9pr2N{ZAahXsS`D#l?*Du6#JF+ipGx1ZH)W zhV9uXPj3GsJ)LP&kUFjWQ+XG<|Gpf~&T$gmCj@fE^o!a98#l|^j&kG^W;VYeeA5Yr zHTCR-C)_~c$wc<4-Hu@VP0R5U+6SZ-v(ee1`Aq(2j@8hBZ>=Y#B02xCI6_~;a%ZzL z`rPnjTs_U(7*6tjWP1L|1ZJYLxCy)6LH^u?{f=VPum8mb+XoR2Hg^EJ0}7J+rdLiS z8JuZJWJmdhG8Lyo7Of%ZjIsWqN|cZF7niOZ(bsySJD;hKr>FA{qkD_RJnb59q-VEN z;N?f3FK#puR;`kd&g2Y?6Oj)3`0)q3rrE53?(CyKDM{Yut^}39{XNIr*qO!9gxRtcBJCeBQ{0h9`P~yK~h-L-=&2lQL)vs{2}=9R4{>ih8bP4R*^`60@G zEEj(meKXw_D5&Cg?N1|u+ifcgp#kIvk~a$9o|{2*qqdC84ky@j9~a=Kawg%9)W^q% zT05;sIff%o1^$RSJ3!F3Wp!-U1#TXA9b+kp?mQ3dvGia6r%v&@#p{%lewA-mqXqmr zYI>ze>uhV%7*Z2W6r~2=D#_MQLbWbtm>wy z6^u~`?Q1SZ^WR6r&9PbJ^U+k=u)%@+cS7&b>wa_rjpfOJ8)HcK(}lYKw!NxV6iF>ZKr#vO2; z<@^?tZHIhwaGpLW&idx+ZFf+7`kNtn&X>fyIddg30gt>vtF`h4E8@RU(|$JLu`&`r zf8dy?YgI(PTJ&$_pZR+O&hI$y|7qy+dsc$>D(lZqqmf&WkyuL389gEm?Dirww zT-7F5dsv3yeMHet`*Kez3t?vy*|SI9QUS zZ;li=pnBYlp{=xW1Hk~%v=j#diT@>U_Kaqfy1)h1wQKip|I-&(i5#W>T1*7vwal*j z7jm%I&C~8IO9WW89=g92>I9i0+sg>ZC)bS0^D6sm2VlGONx;t^<>t_7z3rMd1cAp& zbti0*@2go>MC~3oSZ@4%(QMWW3~8i%cA`1t^FP&fl<1C!Ab+{F7wH^LIA>NY16+_F zK+o7DlN*c}E{v_bBET00F9kVt=SudUuk{$IlkQ!ovn)Y>Ju8%uVg@VCg-!5{0O=3e zOxn(S!I!Ddt{bRtJ?uDkpGDXPI5V0Vs=xwXG}sGC>~jIHtPjfhD^6go`Dju1sTr7y zda|*i`TK>jW7!nge~^4nSQ?v$(6+ z0eEC4a?~%|!=pme&c!X{_c9W8(@dxuHw>bCNdP70{GQ zu5kyieI0AEIz&*HUEQUPc+7`x{QSrBuHe70UtBcu=QmmOdeHNXyO@*N&d%)z4R4GYMAJ0riECuuzB zo+4T>Df>|g0mQd1qUz9iTfYn`hHx$hTmu7_ec1C4WA$3{Za4ww`y8XUr2SsvJX~! zg5uY&kAvtv!Cohb>!+J9khjR)J%)5n`1f^~tp=$hUmI#0{g^~Qgh%KdC zEXxPLFmH9YXSolwUAvv2$bxW%I{92=9LizDXqjw~AEVRNQ(9Dt-lTUTcyHj;H5W zP+eyJdBz<`Aib+soD4VGv0w<=empT?6X{yo_?f>Vz8;vhF35DXg@lKP`|DnM!!xpE zV_72F^L`LirKUu_L`sV`pDR!u^zhjv{`7%MmwXhw8qu6W&*?jRT`=rvOT4oW-TR%D zDB}3VEezk3ug#DRxB}JWmNpre6V!DF=_Cc1f9TxVhwhHf#EW2*dt-Jv7h3 zaiLtgCvWSg9{AE$eJ=Al0yHkOlXS^0pns%iZ!hwNKiHVY%gty{!le*>vVa|ZPB1&l zS`v=(X$ymo20Tmgg&)ObPW`6|aLxS6m;uT!e?cy$Vb|vZ6p_8IvPxM4BXeAGOc0Gij16U^z*+*3=$MDi;EX!mEk457~rBTn2~G$Y72 ztPiDYqJ5&%`Y&yCcP-+ z37RQP!>(vP=LW>#yUOmQcT(|3;gIx^AW%-{#pcsJV5YBeo8)yzXsM}6EJgl^Y6p$Q zKKw$yyMO)R%OX9s%Vpg`NWSU8&3I?{da|`s+6U4Zom$XdnR!Qz^Ys0D{B^hqn6Nm2JD z)hS-Lc%8CyZZQ%MIe=)ouod}fglCYD_wJV;h!{HVn%m_;(u*>8w&b@o`GXOShFN)? z9}LZ3c*4`^4DS?bm4wmX`=Itj&FKuZXHi~|S~!V(eH{wzIE%bVz8rWRJLdrcax3y0D2E-#jo+1f-dUr0k_czUaTO2bhef8` zqnqPI!kr^slz$S@9$;MRxw%ZID+!NroW=1M$JhAsPd>JdNXPz{2XJ1%`R;1d(Q98j z?MVDEVF4i}Xzy3N(=*EDfE|?XRc%iF?E!5PF%3;RE|Axq=yVhLdYQ*E-lQmVg@l=ExQ%zJpb|;&Tl_fy^9Oq%KZ=jjnB|#w4?datm>POiHcrux9m{b)(d+O zkzOxq=tB9_e|b}E-0wYKiwod9E0gp41!W}i|N6_*EpHM9CR@-PS?RgScpaMe{pH2O-27Ti$}^;g|I6<RcSdCa-PaE}iZY`aG4BOX!e%ekSuf;}3RbK+TkK znhWTDelqaWh#1;a>=oQ`Ki39=u2;8pqPc5+_N|`xPYp=@3f{*Y5Yy3_5q1Ndzr>l% zeh`0n192fLlT9X=)c4^1PT4ngEjd$D5XvOZ7?)~7C3Td(&2AMqC)Rw@r%4zrIVCL{ z11;g{bZsR4ran9uTYQpb2e4ytZo^R066>3zulZod1glPil^z$xvFY+p&Sz7-vHntd zgBRLFtaQ7U&u>iXJKkTs#o>9C z0M+036w-+qV*hDJ$kttut2XT`)K#fq@{$A>h^oh?E5B8xoBlnMAeI7yIx zv3#mcUT|Y+)BwV77$q{6S;5nF(=b|;<1M4~A=02Q7WfPFuWpYE0{-sekzXkHFlx7| zWhX@#m>Ru3%|Q_dR%wnmE)u<9{owI}fLsR<`dK$?jPTlK%QgI$mOiAVR+-P4o+SNT z@-LlS4VMYveyme-6X7o*`R((seLiqHQy?IkBM`FQXzEyAApl=!gJSsg{ZQqm8g*e> zAG>vDo>SLL9cev_`?-hM;cGdol)R)F=3Ls>vEB6uB%Dk5dZ;N9c!EuKh9O^ow)>51 zIl2Gn-Gs(vYAJqL!7ESQ{0kSQL1fZL_z|-W(8;B_(ROQq{@45>83OXV;xDV3b98{a zddJxV_S(a$rAQG!n+M8?_xC-Dpw5M2#i6guVyE3X-iSCaG z6f3-~L0ImjYSvkoLTsb5rtipvIh^UT84yAK=JW>-+uSp?hs6nPUzz79zY0@QCbX#l z_UI@_L619F$9Jf|{}Tx7SQb0gP!u?mea(ry6$Omj7A>yFyOZ*1@%%MBUj+Bh#{D5l z{zrfH{kVP&zt6_+kMR8(K0m_yqgo8xyfz&I1gFu#dPx(I`=h`x+a3=4_?TnYLy;cw z?_SR7JJo|3KRu8PzO3uP9tzy;qTE&OG2ojueCnoc62$oLD>`y98mv^wGj`-9fS-=u zg3dWBkzQ3jWr%onXNB^j34{sgq@tk)Ms}Tz)+-D7!(WsYR9f6Pg}qgeJ{l zDKog{VjJ>)%N(k2{z%)tp^BBHHW_(IoxtRi+UvuAsF85t^0VuP9O}9l)9WKIqzA>Y zdCJXQXLhKAYqdXLpAaX!Uuk*OvrU17OD>F6jeb+ zKYNFC%X~fOZmJ0asCkL+=2QS3vrW;3owiWNc3V+w{aWjK|A#`xRDC$x9@wj#ZB4?R zf*h)y211OaI(k03B^rCy8WzJdh|`u1FqA8Hsu=Z0*-hC`rHp+^b&A(5UZ?jWOtk{# zZQ-{@1+};@C$`UWjku2dlYS*nm|U$xdg#CP<`!;knsPoA(vuW9p47(yca;6|l%WyC z7UdhuX%RrteEV96G|Dr7YRV*#WDU(cU%k%qyODg$@H)op39q;LHq#VK6Lg39SC5L< zGmd{aE{=VWUYgW%fIY(&^44uSB;0@%btV}DKZyHLc6Tl}8dxapwn?Q2lW?cUpLyoD zemn?lZ~v|7pG3lA9A|O-#ql*Jbhk&1G|GGb%L6zs;Cy#$S5(2L>{|rfZXIAT+Xw=oqj6c?jlm$WM`kBKS2CI>E!gKz zhLQLT=QpY1hF`3H>hRzES4$R{;8JxO7BlYO`cz~Oo2Ok=n&>rw{k5Ra{S`3`=S{B9 ztU>P$RWY1rQ^+I=HZQ1ZvK<{EqW}M*Yf--~_Z6cmK?p_r)4^8D3&Lf#%mt znkhHqZ%Ki9!ZnTSTven#VobAB#&f#~jNh<1X`6Wx>hF)SXg?Q*>dg76tNA=2-89sA zOYAt7KcnivA*u#Eal&SPU8gX-U%~sB^1+lX6LE3C`DQ5pFNm%`jJcqkZ7M{Lpki_>j|XC=`u!78?#j23CQvTi#Wb$vqHcbsImV z@S|OpBUKT@u|SB|qw0Eq?)dGmu&H`c`asH_gB6BWCXmL_*6D4p4L8`Se+kdB?|>HY?1SYTG|n2RUCsFD|1h^{>v z?ZlXvCYxZcWU^{nCHmM3hyD6XZ9y_1 z|AdkKZB#tw1TuAJ_Cyef@G*g|F%J1;CC6B?(R@Jrh`&EC*+l&7Pgbfh{!#5*;WQ&; zQDs#!D{F(R@s9P|4)$>H{Y=J)uN$11aoW&E`Ad?OOyU*RPH=JPvu%T%C(teAw}t-p zf_v5Zlm_U2LHMJs+qeBbz{uBTDv+v!eOKx0>8v3F|Lt#`A1aBYzc+B9e!Joly8D`8 zV0@b81RrUxt}NfShA(`6(I3t_fW)4`?`3N)!1&#MbVl0|ZXYVg#4dTkWCuJCp3@z%-&sd{c^%E9wVdA zHq5Gb0Y!dm;$2w{2=z-WTi$5{XOi=4hISjkq*ttm9s1n&(4DhazYY1CCt9Z8XG1=0 zUwzC@L~%o(WFC){!b)pmfLqiVPA}*(m~-EVQ77fo;`wWMz6kE0jr&95{ztgJAJ?zp z_u2UU5x!r;=SO&d#Bw(!Ot97$5hvS z&tWAekROkr_%82RM_>3v;ZL81{Gtw3nC>`;_9g29M>FHkBAsTRd*Rtqbmx0VR3fX@ z8$xeOj$iMIhK|jcUm;`R5Wp-}W!Z&vPf@)z$Er~7z)jPFA8k%>LbhpF&PjdHJoqBJ z*VPL?Ngf@)#S;Na6oVCEPl8CeFhTd+X@1-edTA)S1DeI*_J-@q7J9Eyb%W}J+sF^< z$o3Mcmjn_nsah#vyraYf(MqHh=kEv1}!p5h6K@2)DZq5Hrq*jL&~ zZREet#3!+1)Cwf8J~wtT@&m8ui5bt|xtQk_s52M}F z7>*+UH2GLgHKgaBs%%}^o8b>9J0#XK-?>8+->BzNuSj?%FrlGvH3)L9h>}t64~0=D z_bQLWUNBOT&$RbPFo^e(H#!qd;b#^5WEzJFbSho4xcbqK^iBq&Tv}q0AKte_u9+ld zBIJ}8Nw5j(0gJ?MVR|m)A8S4-LMCiU$`?Gy*Y~MU*Z`(26Q?^1y@8s8=_=U`q?@>2 z=F$Dk8)B(~m9<=4phP5>f@p$td08R5)xe8{JM&4g!H-ei4qivE9M!~BM;#$NiTzRQ zh#S~8kM+npSpoa8ZXE)J8>vq5y2a~MYLJ>Z!EFl%pPW&U(jY)Xq(hS_%5h-mZ@9O% z!-M2E_BNH`gzc;od`%==cGA`Wtc;nUhwfRkZ)&c(p}C#R*qy#YRrD^JOHSNb@&MxY z_u_#C9wc8^ypHjD!s|_P>>bDMbFL)64!oXm{KIiELlAaq~WpzwU~CE6F@xG~T) zDrxYV2#d!L4_{hUhtx5x3C5$MB-|-Ti3u29FvLcgIOlV-95Eb^ah%2R7suCgma#d1 zK8cff0Otjq@3t`rR5kTzk@$gV>=9_X-5nlM$A1nUG=RrDC7+84Nnvslx8Lx}OJF{A z3|vY4`>>}(3wv@C4WOv3eVHt&f%Qfh(n*@A0?ubRzmZkl^Lc%R`jP9+fwfRm*y>f&bryB>X$}C8{Nquss?&;nBfb%TWI^6&KIE2L0BLz?VpCUiL zIO21KR^&T`^KOL~#mYl;H`7{R8z6!DP}%7OwK1(+50@r)7cg zCN}Gm+MdXJ#VWXpr^0O4ULoWm(oyJ$ygi8+->`DC!-p3T( z8!U3X?F%@6jgI@+P4%Mtu%jM}&O=C-{I~DH`<+whYV2mU9Sj$|Fe;xh1UjlnW4}wt zN2KPSSO|+41U}nLa`}aP!8PAJsXkx@6pYU}qLK~3XY|GUAIHrw`@>?}*H;vPyK(n3 zGJP3Hu@Z{@Xk&wEl6q)&mx@~0*U{1q#Jy6UipBU&f_ghG6{_AKVR!H*>m4nJHDd6G|ow7UiLCp)fU6|9^tXr zuQQRIh<^?4EgC=TFoIhggk4T3&u)WWXRd<59iEjfr1$L&fqWY|F)_Xb5I@Jj*StFn z&3Pr{Y>Xoz$RW+7nj#7&4zqNNWF~^|8L^Kc4*szFJ@$PIijtoJ$dz)HEK8z(2CU7w_-x_9jx(jD zg-BQJ!6l+RKm;jY{?ps`JHxD8vB8rozQEEj<@lLf4HH-MC2JQngg5oKENebH!pAga zA-S$dp#I5uT@CHYU!G4ay+AYrH-k7W4@u-C*j#JAvl!vv-*WrmFM|7LP{ zi#&*d3n%v~UmFM`-F4epKk&rlO(Bp;V{3151biM&f9w+z536}$izk;-U{-WCrO-7V zCep5Qr3$9Nr@7CbZUq+bMqRyR?8|P9`{nJoZ_s@j{!U)38Lpa+I$&O$F)yyE2f>j{ zJqkG=2b5R%+P8>F4l5!=*WO4}0619+g9jr9p zzc?V&94asCelMvp29^`<-wURVV4ECmnRT@$W@8{3a%A%ecH!{->sn__NVq^Z(fc^- zhdx%fH$FGdO&l96^dT=etO2RCf6NFiZ)GWf8;a0ENtx(bL}Wr zk$>Rj!6-G1`*cD4*H83dQE_9MmqQB3{9`}R4)S9B%1rCmWYn><->tgtT$jh5HYu~P zAYYjeMH$MsE2V(`fgJ08ayg(mY(!H|VUIPcB7K?i(&z0;q08 z2n#tx!18Zwz%;%c_eg~9MR%{O5h%}4NhD-dgJPe#7<`h$Vz-a{hH zrp)IZ$~Fe~-DBGxpF8dg zK7Dj&`QP=7;~$QTN#{5>c{rRPU*u3JceFMMH%c>5DV;?=vv#E=%l`2oO&!G%EgV6@ zo%03q`D|NB5G>zcFMjaMKY08XXL0<+@in`ugK>u3kHiBwFW`Kaan)dlCCXvM`9ZzD zx^;Qd43er_4^pChusiv_7o+wj!Zl9&AN#4|V1eB7dvts_WV(L)n8zOhCTDCKLF++VWf?BWsbtE(cc-A6(fv zf%*)*@4@?>?~PW@-@TE~)xIS)2IPmKHQ=w}t%URt(i7E*d(2_1pmj9$q>9q2zTu#ECq!7bt0<8E}eP&`9fT1_;=RAv^J-_6Ql!9Nlr z-}QPy(EG%!NK^;nrJT2Ux%^?^NG(sesvCs-{LYi3@sHk}yZD$SGm{@Esd}sKcd;b( z1v~X;)VI)G+eghWxAzoZ#3aan`ms)Vf-2MW#-VsG@Zay}zFnCB!C7?Tm(U#`=UjvA zkt@hwHIVE2K~W#zFH-B%NsEBy_!oD7cp=@rZ$M<04$70KS7J4}7z}hnvK%kvqG5_r zNQ4XdyG>Ny9cUO-Q1LgFD?fL22?g=voUr8_b5ur>~$yhtc1)LhlC2kPWJ!(a+Mgr2cEw`kr zW|$&hshH{Yj!hMqOgY1}^EuL)^Il#iJK+qnbDvBEdxGKl&7}tkdEOvOUccEl6EMjdC1PfQJK*o;<01b0gFa5McFsxG-Pjdo&sq@HlL>G}V#fJus4I5myXMEk zRTr?mS7KYu7j2+~Jw{^KCjiFcgcYqceL=}i^=;1f5D5Jc<;HNp2As$DrVAT*qdS@) z?tg^q`*HmmexHrsAL08oe13%YM|$D={L)K;NxC<#=rYlI0?IYM zsJQT_HW*UKL%UZmMFNeYz=6moao~7DF2`s-5-5fVE;f7PfaYylS_YpzP^5{yf7h)H z@%&^r`0S9+I?j-Ly8hr>VRC3*4Ooy!(Ex!i z?QN^A4$$GRw|c6c3*(^*PWD9pifR6wDjKg8N$)ED?Gxv_NH_Ie{`{>#E_Cl{cO#-e zoCCrRQVdV$vtYXA#XRuN6`IRegU;+Sg#}xmTPxYfk8nxK+t11qw4XhUNaJ@0DHA#~ zu_zmG6VU8Vr*?&7wb_CBHpsu=Qo8ug8NieUmETf}*+ceRcu#Sp6&NnPpNZdN4Dv#e z)bj4f!OuBP%SPK8UeN~%`A9gCaG@!HN;peY96Mj@Nv}iT#wb*~D=pS6AjW$PHtn?G z-iGd>19O@rT=M@MBJjEl>DJt&o_z5^ez#wG&D^3bp`~Qc@kTvMVDPPaAw_QkNA#bC z_%@n>O8!xwPyCAT<=}|OdZP&#+@~(LNBb{(E!hU!3NvUNX)b%=qX)|w6%0T086b}P zgA@~w1{nXA+^Akhd-KVzE8V+o;mj%a7F87wNDe-mxjzTxo4qJGuZRN50%8h%s#I^hqFjYD^SUO>J~f8Y0(db<9jzCgIx-o@;Mey^Rc@_Cb@ zZK1u+wfGIW8!!hXDmfq41$#l78eXKsEuAi!&}|};aA)kgT zN4MHO8{MUHN@I_*P_B7ds+R=%Jd4*UUblFi^8PIUnRLw_UelRKhGeP$Bg4M?-^T-? zy}F0zoG0?J`0H0+96fRT#`!R4<#Q(*_D4hH4u5~98XG7LoscbmPJ|j`HF--fgqI)m zoyRR5!TYE7N~pUBDHjN@W4xa5I@Mq+q83M=lmEM(as0z^v4}31?=#Y|*@}JBn%!nj z!VSkd?#+HhR1A|BOJt=fM;|I<)u4c{AvE6rJ8zYruIn^Y`|-3(9UJo_=bp z`?>=8Q9shX{*(^+>fyXAwQG(&`vIC0F)$C^LcXga0b3gT1u97Vyq>Fc@8m~UcuTjp zbGaSmX8q-NocF`7jhjp&e%o_nI!sC36VBRFe`|Z;3+b(P+T`g(a4Odz4-L6R>LWzy zl6U?#aRTa=?rohft>8rcREYADDa=tU`10kT{2o#F^^zPzsJQWLp`FnN63;#0XD3%7 z^(%NE^TXP4UkA!3#Q7^x;`-QCD%7u;e6eaoa{#>W!TTLt-~F#Iz`wo#|M~*_>kII& zFTlUP0RQ>|puX*2Ux0so0gxXO?hEkLxL-2wkq>-zCGZ~|MLFoxmLqv6Z-FIW>V4Pe z2+*Fsp;Dt11=#qaKACkCyrw)&abeL1Vl`}3oL?eeVTtyMy{q9MEPv?8v7~T#$$mok z#YGRGJW6$`_dF4l*28%t+e{$-(7~#{^e|{#dS7D^i+oY?<;nQbd|>4M*6-_HzN9&c zht7@CW7K|dMJ6l5u{DS7HS2C4;PG3aW9$e3iH4~D zKIE$=AP?j-=pJ71;>@uYvgG~8 z*D2U+;+-GA1*D%EwmHBSzfiIS$S^;o1>tkz*0lM!Id)N30`HH2s2zWKHBr@o6=0~>XU}{E8OdW z^#M?5Hx}|l5c$Y=?q9i+eiA#ed@6^q(-H7@!x}k#>;26bcq%F;9(@-1#OX7=QZ)*O zT|+D!iUR&%+Tv2zbtDe^RHA5bQP>xX0u6~LHLRg_s^H-R-%y28h)RR z-yh-oHGF=Af1lOi8~(2M(7fFIjwyqHJ;Ya$PwlLe!1kAUX3*}kz&v^VRwvK1!&$-s zTDD0d)-D^Ib0Xar6h8BpQ6PPXok4B?_pV^lI~nQrOn>zh`2<#cjG09KKdUZF9xN|| z;U|?rwk0DG^b5R-%s6d;SwiZhf?pW&Ge1&i{oE4l{lq8uBm&@k2XSCp*N^nBbeO2g zGelEi^@eHfxz~}9<>{&GvKj(nw#;` zHfR{<4muO5zkn|UQeROr%H|@!%{!mJ%(A8ezlUkk((xpSW$s|O-)0D$V|(f@Af2!J z?t8)u zujF9=v_9P$eGu$dic_E04uoV?N~Q^<^TKiInEI%-Ie#F$YzZc8KOGCqo+dwXuOx!` z{`}L#hheZd7xG|#L^z1M_cc(yiiE5E#j!_GZbIhjb*UQ1D0t)k$!}yW2nys{Uyr!? zL#qH!gevl@W!m@t#Fw*C@N~~8bM8hMZ0*pwN2VAFTm?mUsyw3M8M)U}*0f;g>C+^? zcOV&dWYhE?uZ{zuDDkQ{0tqnnhb<>=EEM!iHUE5fiAQ(bL;TdX#^Bb$S^R+A2sTAJ z2#0g+N$+IV;rTUUj0o0S-b`J9d@yE$mD7FKRN-QC!V2RlYbdkaF`&k54*2_ibHYaX zfrS=CMA1;$&ICbqP{YKzQIwC>ngl$Lm;ivKeSCJkc2yX z58PBKec=yy9f>^aKT)TTbak7x50}#X;r6&QZx`~_35{w0nvCwb@jAup7O&Ht@$aU> zW{|Im>XpOF$S+1D`}XcW6_gKmEBxKd=YD|K8*9!k%L5K>@awd&>cYwiOy%5J_V>tF zP?509K#AG~B$Ae-Skb-u0q}QI5(t1tj&^$j$N#BYypHjD!s~6$?YpBr@+bT6ddBe& z$3+=Qfg4=R0ibF2pr`wlF9|pH2eMfEu(^Rf-IAu}=spOq6;S)QQyRl@=Ua${s^T|i ztS9QR)C;2k498;}XL0<+@wH8CS(ojJ7>4rz&I>r-d7M{J*kx)%;)h#JbRF(TkUn<6 zvP6f{7)C23zjOsyVmu3E^7I!?FeCGI#jo$Qurra$+ZIks!pfJuDhvl)Fw4lNVpY58 z0OvED-)M_e0{v=v{)hieB6f)kjRZk^!u;^4MJU{Q@bt+9(!W1HMz=kb!h^({!wo8w z$7`Yi=UL`n?~NOr2_&ADS|5m9_!tCDUrfb%=f`+401!T|`^Bq|L=Q~1NcC{?|fBOnlHrnj%z zHM&nmXLQCy1voWH7Dx1D^T84mv1Tf$x`$)vsq?{`8C z-vw?FtdalfmI$w%6>Ow_a@|F40p*J((0|wlS`*uC-fwe)i8JKELG%P@GFF7MZw%nD zOP)WiffjbzzwXG8qdC;yRh}Dr#|_4zV{zWBKG+T~5zhzoE|`Vo{X|+dG@pHwut&S~ zC{|>`{3k{l<*4e)Mr|uKfU~a;s>^3a6Aj~~6QCkeI7d6@%`)R0d^lrmAy5tQU3Y1Ud2GDIi2I?ITHb|K6(G_pbG=3DZ&pfrWg=s{P5Zo`6ljo zA0swV=?bSgECv_U(OqV{ib1wLx(6%E-Q~cmNcwp*Zx1>L^_WAX$VKzd%#Og3?hwt} z=Lb@2^x~E&!LTtlUwU>K`S6@-`xzv`g_(Y6Ie&Im6RV; zN>sNSU^z7JVt@+ylHA>RU_coT>G}ILY_)lXzEauSW$Kg31Kb#JDOI zT#UPT;KmK)!$Wv=R5(l#sQN#3n_hN=4qa`VbLg%_UZj1@=o}H;e_icxs`i4fr_MKC zZ?wQD=G+CkD$za3?EG>m@_Ts4W72e9DilJQBIvr%KAPb>lSlogIh;%8NK|7vg9&Ke z=uJR+H~igXxTbzPysifO=!4HUA-$jOWa6PWRfe!lP*C@}N)YBBl-FL~Q;4bb$vvEp zvIJ(hAo%+)T+k zgGVDFp(jJW8|7d{7@9p4L3d!Ux@%4yMfXde#=Ka6y2L=LwtGwDL!^hZ+>>35@+7F_ zau`!t14+5;@qhDa@%%MBUj+Bh#(n>AUmINCkL!}~`)vHK1mCaW--q`{-@pB_xzZE? zVV47SQg25?(7v`RmNQAYLA|#4RA&>84!?y%B`PniNyaD8U}vye+eJ zF?iK}DCz4CU*I(-v!g=3cLR<-FGh@z{=`xDkJdNDquvpp3sD|x4ExSCcjS{wd25&P zDWr2DP|k?M1p-{Udrsh7>IqEtV_#sGfGudW-T1xll_?z3`mL+wrU^wJi|Uz$THqL3 z$sLOJuUTp*_o@jykZ^%KM!bEHVdB(xMa83)_x55gbG~*Nlc>Ld7MIN~eLyDDQm)!M zBwVVxcKFy^q?fzM?RNK|7CYvVc-eLMwj_`*HEzi3p2ED-mpC2g#elwlqREqN8yu{A zKK0$s67w9eax}iEf_>n0^y;j-h#;IMdXDE68OHcMGjPjklr zJ8W51L1mx;OHzVE{w*h7%f`G+j)STV%qMkaemw60j6u2% z%4W##gZg8wvY{c^D_hCmm$3)MU7dSxJ#_>ecf5odn|E9=BGu8i6+*vbm=hd4^`h;^ z1y|sZ*ORq;=?_;A-}@4596+j5yl(M2{e9R?t_^+OO+AyV@_0ZUk{D?!qP_)!-vm=M z589jK^>*PvTbD0c1f=qk`vsnjhf=d`Z7HkB@0M?D zm}P`_82OOu7O!Kxp746xnKXgYp`1xMd3ZhJ_=n@-@0#|M9dD2?m{95dP%?88Zght& zEi8zleJF)p?X9k8IAcBYdz~0e!kvfmRWp@iv0&yNxH~;7o`lCZ&f@rsAU9rChxpuiv`xXZ)_uX!eDfZ zb<8<72&T2}Nj~rof!W=Q24yBmKrU6j^>c41iO+C;(^fB!PpQ=TAO5qLaM1IiJwq?f}QR zTg-f&OrV6N^j%?>DU1)fwO$A}2iY^PuK(y%0r9pl?gq4fKgjHR#;jYM)UV)u46O^X zza&=zaQ-Uo3{PHRu>hO3H=#y_)}+1%?{_Xmt(%{)3HB(TEN5*+oMDM(fgG? zcG_6Mo@&hx+m4lgPwXXN_qjE{(xdyua6v7r5Cn5K<9csy9XRrM7wnJvAam_Mfly7_VRa1owwF5;e*&f;d@;D7uSZrr7%M z=Lo7-n#WP&L`iUd7p?nT7Ts6T@DL;P-Qn%{(*A2dqd}dQv4N{U6)ej?h6Ra4g9i1U zd2{Pn*pbH&rkWZDzVg?}MzqerftWC8I~oAp?|U<6a)~f*EN3TOfqY38hxW~7OTvxg z=I8GZ8IXQ1iAS7!z0rKF%t+a@pe_LN%)YObqCI_K@J{B!!f<$B*;dCaOn_awWrpo5 z0FHbyLXC;$SaQ8(w?eWQ_AoU2$FF=tOnTDL<2t1+HhE|`$T-XxD;=RzzcZ8sTc)?J zq#6Z5k;ramHspVd|2`fk3G!S(dY>;vNdm@ZUHaE0@+mo5CPRX{N*rGi2x6D#%P5sYs@xqN@$jd!bJ^?NcojFHlF^UFI& zs83nvCoZW${OoXLXIoS{y?ScSTLXKCd@PjrN0#p7jf8bYE0&(*Bsh9rN=GId>2pJichX+@Ke)sqDdp(}7<9NUP+0mopap*eF^LpI(b)6?MFF`y< zeD4x`e(&z1oQ$3nICf%B0OO@BXaL*c8+<9)e`|BzJ)11Zm0T5A<2MGkVgYZS{d!2{ zV)CTcAqz^KB$v+|;Lr0zb@6kRET2Pw++DlYe!&FZw8lM7dT4?C0{J~{J|6~J4e{OU z)PGywSPF$c*l3D+XP;c&{9FgZ7X>^06U`}gr4oNNCpyIu9ia7$xl`kbd}NmPH5q%N z@x_O`$!sLlCnY@~n_&f8oFwm9UNS}ze#d9hwwWWXZr0j7KQg4Tbs)=hyg%NrJi;PI zhrW#H*j;pRLc({vl?vRBL(+=X?^GL0bnof?k74cxaPOI9N5xSC&@$|=d3VeToXoFY ze}BXk)w!&WA}4nwU9};*ty%&Rys-2n<)G**JhyICee>cJAcL(kK7G|%H--R&oY11 zGoaSFP2L6F9{zGkI9eG6Nm?9m^D#$7VO!kBXdD2&nEm>W$sI+?dvMbnu|hYf9tu#8 z9Yx|gW;eg4*rGpwR9R&_4OzEQw!Z*@}8D>DO zLcAwq9-hmjS`N6Z5e&gv6(pP4a7fPae3#oBPO0yETdB=zv`^rCD^k=8c2hLI`@Z9Z zzaIJ$XCvdOXAMGAm2PIZYppOU~z0(arvz>ZoQjN3O&~9vr*}T`mQ1f6x-EA~{Mz3z z(BYr)Hwv_+;En5reaEm^9CUoh;(h9Q5{k4K-oZA2sY6ez`$qA3)LY9(8&vW4)tIyS zg?3}8Js6T$JL*BfErDYKPXylDb;e6i`*=|DrU^U~{73Mj@Ym&f^Cbs3qJ*m5NPHCD zs8wTCY#9j#>f}vIe!_T;p1v)BKP!&HJAcS^Nu8TAA(0;?zZA>`f{zKFCHR-%SI3wM zl0kGZMF$97AoT8D!0UEht$+35T@bC*Z(Y2vJJ>nkW{dNSk9e0wilzaxfWOD3@MPGZ z?AiH-90zV!R*oOs5eL)BDr1*^o`QIN?Yv!Y;wgGY=-W~HEh&ycCjZgDf!$BsuF2~| zcWdeW1G8=ru{3bxlAIZYE`C=P@0F+MCTAM|3r=%uMCj}%rI^DLb$|$+{<0X)Z}r;< zg4a`cqMqIdcl0nc&Y?P@X>F6BpJ`_dgMH{GQ45pD6;bWyV? z6ip6p{u!l#JQX83vZ*yuizW4SLuO;79$4CO&O{TL8|KVtaRVCQ`MGhQgDxWa6{3$h z;j}}@ghde%`lXXyZ_kMRQMn97_V8TQqx3yQzr(`t%dHvjOD*Z4c-p$-$Y^3aS$Wh1 zZMHg?!?V>9p>^Tqu6hY*7fELRDyEL2Z1zcS%9ckvc{>#4^&(KjsGnbAnC=>--2Yrt*M#^rd zuQm-UQuKdSIh@8p-wm$*_G@sP2u4I-kRdC}SGB_tt+>-f}-X{g|Iq=J5dZ#c|B9t|( zww~2Yg@mmRJDg2ZAyKXNdqQ^(1b1!dbH($)1vM#2$|OI%Jp(UjlQXo;zG?`~7z<13h|FttF1);}e}%kL`4vTEjgJ>b4paYzZ36^M4ca0v|whTnIXq$Vc=P>Z|rq2b3y$oq|2E?IjIzkLzxmE{?0tuO-t|w6m5bipAQa(8p z!pDoG-yMhrBA=GXUnBBG2>)!tACmAtBKG@<{WW4fn|O}6Un9N;hFF*>!Q5B;u&}zImEj&!W35g*l%Z(%#i<@Uwf9NDWy(Qk#qw`{L}_%Z#2tw67hr62O6~Re{=-l`R95zy_{$p6N^>(^#HW8Q^MflK`XSgL@GBa z)*cDlvEKfA*$6^UoTX99)dMeH&R+||cCdRqNpNbx18FC4A8P&KhwO98PqB5GBZ3z) z&;Ooxw{k;QWj=O{Y*0ggcMQ^*Zr4IHRo05;n{CnY%zFM8)XEfI3YGg78}~>I?U`KK zQQF~$D)+a~C|(Rlw_kB5Wbp(b!L@UZ?RQD2(=%D{#w8yVlXWa8Atn%cEW0qW1_Yov zf3@wG6tFLbjrRB+R%hfpBGr^)a1_y(x;$*vjYL__wP89&fhdK}g4dHXHJ?{f_oQZbd(=7S^2643(sL z$w(q>$iLp(mv#c0`!Y{nHjkm4GbZajaBRpp1LfUqS4a!Na4PT%>+3r)kWfqgnu|3a za*|wvpS#9W>U+~}B<(?y1ewEgEJF`Xkx65vQBjg9a^#W87Spf+6I#Z-Z?~EwUX#D% zkS(Ij@Y5JmACqV{bIHqe_s8 z4X5Cgz%7AO{d#YX`}OYN_V~WgzzH+dHB;KGTNVR_g%@dlxsfP%yLfB5qxnh_WSnlj zF7!SJ3R&Ki1oQ%=eNjE_g8les_q->M-|~V-V-4EvZ5FT_q#4W0{3*C4a7^Hdz*|x; z-L-I9oY(U|cqaId;6;XO2D9l;o#2K0?pp;G>q-P~{OTRI6e2~#$0l{H$Ay{Tf9ERu zUZ-RV@9=mFZBb%74N_@oU3UxefZ$_-X9@l#_;q!S{^GVHF%%sjbb-*j={LI4bZLGR zeMpm7<9)J01I~|bSzI;1KF+{)AjvTYF0;JVEFMmW+kb_Q%t|H0lcJ+!zun2OhcEEr zP-`A=J^s_Fo|a0{GeX~ZPkGj`8k@ua>YtuwMbCv09Yi`Tn*Vmu5Z(_L4Kd8CqN_!7 zyeGEWB0@J6j{Ms5SRw!sIvb*$&>NiYjtHH06|fX9KQD*A>|03h z)nQ$~=*UEg8w^f9nbVDNMG0Fvg}Qg%rSuUu{#rS$P8~x=k0!mxepn(#m7rtQrDo{6 z)Vo=Q_qOOkinwmIlRauz_807`Hbk#8L*(9?+fw=!qL0~Tysi<->4FITs^Qg9RIXQp zV9(1NNJj3IzK7^{WbSP^U^{OMqmn8U4C6;Z-XP>;QyUkg7to7q6`7!cLr*x#XDp$D zE8vRGqAIxe|MU!%$L9-ymCL?09!QljIFr6t9S!NOl$_N&jE>#8>bmabiyW9M?hBXN zp^`%(SysWpu;E_K8%E{LP8>9}GGKLeVqC+_|03-tLp3-3>pK*&85 zIkL9JoYIdhseRldk%Mz{j7Y zaRYmH%dMJte}w7+iQ$KF3>;9lQK;)mg`Iy^H4ewcK*feRwpVocJc%LgkD6>eq<l4{lQM3ywk@axN^^fH4RP5d$CA6Jzdfc zfV*Z3Z#5l5;F$`~Z7KX+p%uQT`qOc|XZkaP8uyvP0i#1dKXj;~pJG=& zCok|Ii8%j`FA5q+|76|s)EX^RHm}`M+@+6%ttK38nN& z98A13ECOEeR*?d{EcuH7W95!0eXRv&9fzIwJp9_NVaE7^$kKGl|V`aaK zy2Ppv_4<%<&Ls7w4i5&~BF-jl;g2p2zZ~q@XQ$M8u>W z=lrPb`nifjUxKMDo6zSZIL71CKERR;vpYXC@uql#($UL3VheF_q_*cXe`p3&d&+H- zA4&u{WiNp-3s-2jb1gl(5C-3`{c?`D8VgtZk4f;^;khMYYwMA*2nd#U$r*NxhKhgk zX^H$bB432?&nEmK3I8Kvzn|D&Bc3DXkBIv<;{1r{j}Fn(Mdt2Lfqj)^{`Vc3pig?I z?yqG418hgN6WX;{-;jtB32iu>->=G&B5TFg-}>lcD}${XAaqaMxSeC z8zD*kxNFZF#lSSdkC~ZU6xdG!DY*Q*e2R#!Q ze_h}Q&I*$;mXl<6NB%VeXWy;6qI+FIqXu~Y?h_At3}5eYbfJfKF7%lW8eI32Uh(#W z$Aa6VFFQEFR?WG@-jm#L70rv+zA?f6g63)NCRT9$l<9|ybmoYOAuXu#fexh7JBPoe z(g1#sqDkJQ|#XYA2NCKIc$?TY9d zFLT|E00A_hSu&)*$pkqoyR4Av5ia;JnM%3I1{9=wX`ubQyV#-eo-B8#{%Wfb18pf@q?|RTgAP#m_f7L zO?E9;8YyZRYEK%H(fer*HmeB-v~DGL^qP|dyt`sfzLBqu$fxgJkjD2zU938rzVtaD znyL}<#dZy(vb67Z_~#>V|9SW^(MS_y>0f5{nqLvJH4T)JR4h~+{#8cCbBD|!FJ<3j zUpS&p6w43h@Cu~E#+&DU&eH@y$|?7Z;@?4VdN;%AS3APt0TQ(k@M5>nv6AR#Lk`^_BY=Ns?>V_EPXkSzQ~2kNT(iw9q8zl2TB$c-gzkX zy4<@)1ra#f(A}MUjMW+Jy$zl^TH(-bvipV`T)dN&NL10^eNwmDMpR#_T;j4>__#IyE{{1`~Zd+4{9&RtT5+dayP zCn8-PNt3^z;O$$$&9MH=nMuTB@JdMTE{? z%q--lO%$Q%H2(ngzNVj+@HZqm`aOFPMRyw%l5@TtB7uj!=JvNcd?7L^!CoWkCPkm$ zkjz{Ssa=6R^~&`QQAZ&3ozQ)k!@aD1_{oA+Yen(J4RVP2i2vfNSXs2|Zt3?=ppE9l-uJ|(96=?zb8WjE zq)@_?_TK_AWkmEVL?3f{)0N&Sr&T3FzwVCpkKTEO^SmU*Ux~aFr1U*RzjL&){drrr z5hR+bmQO93B6_*=sz-m@BXv%`X>yq_ViFNdPhmWQ)J6&pu+vzeB5x+~7Wbn_`H+I` z*JF|B@YgS2*SbmQD1)jn&wUqUdsX+cr9wFJe$BV!$mxk*$_koO&thE~@Mq^pazx)B z4UXqBMuF{P%iA4`hheDn^9w6kCyM@u2PQ=OYzYGCA!gmlsz6FVa;Py}dgQ4x>Tc92 z9e#chO{HgrhT;F0F_s?(|3-O09}TP9v36c`?VR+DNI_@l6S`PxS?>n{rv#V7RFXm4 zbMvpt${g5K7+zoe8T;5caQ81bB!P$ecC;-g1@?FDDzY8Rg|?EehI1Q3;oc3n{o;x% z{ADn6FqQU$Wz(GC!rr4OsQfH_2BQ<@y{1@hZdu$M0#Sdei>DN$pobKh(>V|UkJW9d zo%C9{KbBB6p-Rcm1UhqX(jr z+3wjdMMAk(rWZGz%YwR+%U=0=!lCnOD=WwMaLVuLT%lOel0V+V*A`qinA(S^^co9n z=l#L{@1f3bFD#(tZE>K&4;$E_#inc{=LF0fEo$EunnQWi&q&YkAjtV`d^J$S4Y^oe zsovghjVw+7Mvgwh{)k)|*+O|_0ESp6z1;Ov$`%ZtC57Y?04ep75uxF!OC zs2h*+U^hB@Cv<-Etp;COC$M4vaEr-A87(P>Pt-Idp+~=iE4JlaKp89s(+`(!DoLN& z`tJQw9C&|kzRQp2*yZ*fNx%9c8DgG=wQQ;~L1W*HUoCR_!?vRaIZC_m_jGZ)Pyl@< zO!Wn*?>Eha@*(O{vF{{!!p!YdBVxawc#fFQCgzWb`!(YHi0F?5{K*}v4QJq3Q}X?6ll?Hpbn=<)Wk+=V7xXwN}|-&Dov=!t<(@ytM*)7KPC(vGpqYvwDRUrh}Ud>>Sn>-MfrX^F?Ensbz&aw+T<(Iv#~o&n8%V za0MdQdk*{e*Ek?Ctq&(&){@beUDy2k@I7MS_MpZ0bm8dP4%4;UTz*KQN!CrB)eT() zrZb0xy^+)mht9S&WL&n#N9VxYiH?By@n7)pHybyjybSS5nYH(3EX9uKrHx<)T@hdWZp zOuBtN82bU7k&le>a7I^?wykXXVUG4b4F44L;a}eA*t(5*Wt$5kaO9}0)>NHr1J|NB z1}}FwLh{2Q=ew>E@HRry_y%1l1*ZgV37k^rr@iLnvIXb!`@Av?9Z|OKrAu4~BEg1< zqp<3b2?cNOHndMYCMAOV^*!V_fv13X9=pf|s3E)A=&)`)4?wFLaWU~W&QGOnwh@fl z55V>Q^u!3x$@~Ym1da(j5qL|r-CkF>;PM|l6Z}W;;-jHHP3l2Yupe8~|Egn*2;NZ0 zmAxsj8V2{J44&>8%!KbBR^(*vB~y53cBo+3f&L7zr>U9kyiouI9}_%F@GrryC!@090ja({~@gP0{CVD-EqX@7sa{`O^;F30)xc zozVRu%M16r$9zG;>Q3J$BNK2D=%Kx~;sY8!wg*Ix+M?Ii-jX-?8z_CmJ9V}j_1w1T zRPI5uMEUTDp^T(!Z)1}o*I{l3Q?v+h8nu>9=TfwPgr@eaVbCHXn{Q277>QLI=q1U$4 z6b?UpVO|wr45N$hHN?$~;8*WFs|NOWI+)0io8zH@w%(!9{5r-65zT*2=WjNJTo(0P zn?6{BnnIGz$9O}?d-wH(o3R8k>$xG9H)#h=kAB?vEN2I^JSU!^5B6ZYWdBK40Q+%A zbBfxMj4AKC;+gJZNTULMQV?n*dAx!1j*bI^5i^YEln4=wrJ z$0R3MjC6HTPx!Z=EPYL_eY({WKFm3-$=-1Q5-6;gb8EnlQFFOR9_ApIzWr8Uy$iIu z#2vq(X9cH!?virHb6oc}cV)L=AIjh!szEMIL70BMC;yF@2c&HqT;%Yugvo>hOw4u$ zu+5kGxje580Auazi8LqJd%QbhKt2YYA50ikFHr@eZpOOxe-5%?KYqtzF?Ttfqujci z{Re{=aB8zZDY67~wbOR5d}S^=^67=-c03O}-f}p{fKMDL)lW?i*T}&J@5-xgJIrCq zUda5!oFk~caGQUh=>oLI_p(0ZSiy1(-;HT54OpZRV7!xX9H{NOw6gI0!ku%A4xWtq zz)dylnOG)`MExGgv~d{&*Q>;>LG8{!qnmux_b|@C6ziC`xMc>U9XBnR7Tn><<(3?) zNf(G{7#Gm}?E$g|7I%$$@SJ_*WV^>A&h`2ypO(m9Bl1NE|7^k^lJGwwo+I|xi1}<{ z{)o6=BhHVA{wOHr>Pf2`zVKX4VODtu&MjDb)O;$;i&7`uTZAIyw&T1<(WB$!R!4}} zRuYu9!v4L6ibnI}Zm@jrPJVQ%Ii!A-&TkRGeLO?$#XY&Upe**QEu+*GY=cahGeo^9 zbye1DJ;6Q`3iN7mRWkbnA^&B+QsP-(*fSD#@vDg&yc`_R*yV?P;;daI>G57=sqL}& zhE|;0sg=~zM~D4+(ilFZ2YErwbQPV!4_vp>4l?sp;c&Lq;L1zxAfOUVW%+Jm0G(c5 z`*Ndvp(5z0N*>M;yd>Gt{FcKCe!xu14QDc}zPEJve|cY_k^1ffWu6pX*ear(+#PKR z&ij8Tws0H=wFRaY=WG(N2&T2=Ace)x2cJzA(iR4a(H?4sd&K z!8N-l?oeD@I2R#{{ZpxDhnV{D{>E084jBa!2-Dn3|G3i~sH{B$Xusi{#_zQ6pvD2R zPV#;~8yy9oNqUpNu}}IL&Ba%lDM7%rz{*?Sf^)*wt9c&}_``{E;kSovt?=HdPeu*S z(f%YQ754_`M-X+AMUEeCA9H|EW7;JLoOi~^C+=ApZ3NN_Tv^xJ96))>C!+%U`V;ld zGJB_gmdOm~678iK8}b16@Cfp$7Edr~s6A1ObG&*2YJ?>G@O>h8O`nW1&XHR#tf)w2}APjx%mnF!9BzK$hPT#9A8SuFsnSyY85PU!n^TI3;jP;FN0j zr~LsqFK0^~smAnzC3Gpxd@EG+fJctLk2cP`QSfH<8U%N)ID^2=_1LEKX7D^9IwlYM zxxF8Ldw21wHB1P%yz;x~1((g53bZ*$uztayq~I2bf?EQ|1fB@IZA|_%zE11$A3PKM zNATjHrj6aX*RF8&kEZ4OOD+`NV5Uzo-SEf>YEz2_{j_vo`eoGe(N;MM?^yfKA7MHp zf%YUfl-1@MAcBtxo+bE~;MY>Fy0z6%If@PtxX?u=owpEw_ zp=X4?wRUt>Du4UY`oH?8>nQB(DQyq+25PdbR5))c@%GMb*D+64i8eO62vKxXz>z9G zH6736{-d*Y>B@SMVgVGL{wUGrxQ*QjxVbmo(A#25(OvU4-xkzi11FW;w)#pQLC2+{ z37ssqE&haGlozQ(xEya9l?3)#@(DbSu`yhMA9{)y|`igWJ=xS6(h-Ef0?@zf7H!#v<918)MSq!;uIWU`%A zFohnTjdUh^$j~B9)fR50MCn(EK8CiKw@`<{0|@=nW-=N*YwZP0u3M=sM?xrl57F=Z z>9f`#8JI&RmAqKgiYo|f@>><6K!jqdgLze8BmAYvj*1?9*#czO}a=f5+cn_$`3@ zk(`Q8*LJ<|2AhxD_6etuprNRtd0&w$)P3E{M;){WKGREwwUK3z`;$-=n?v%*J2)or z9iuDsvU|KYOcKO<#1{^od}0sJ@?8$9{nDoN9ei5p$HhpR(0(peDe=BH<%r26n91#B=5W@uJjL>=CYZAntSfC$hJ@j@ z#ge_YNVogeGhclN^r3`$gRitWlHBmp_o9m+j2GX0{Ujey=Dr12;Pf?lLj<5GmaHi0?f`o91F_G?&7k*$uxh!F9hlFS{Wy8k74E9Vv8WWdf!(_= z%3L81(D{wc!Y9BJ=6SnsU%zaF$hrc?KKh1myM*td6U)E-SwY}a5$`Bns5_w(+>m4i zmwMD~V;iOLUd{P4@37BZ*iJ@v{Yfk6c%aC<`pf{#Xy#HoaX;lJ;Em%m^+7B|QE+}$ z18yEuVF*dU_nxmGe~{oeg6xCmg-L3P=mBl)YqV?#i##Vqs&PJ)$yO$o_C{xPBRxM$ zr&a)nx^cXbIJ{HH6;9;^%*KV<0;|N6?bJEWKvgW=e{#wQ&fA^zI#(TyUfSsOc}lpz zTN;*$a&}EL!ImpS))j{1ovL5I^hu+-*yzU1vJOx*K9(LXNUSNe@3E>fDnsdUaewT=i-&et z7tbqhk(6dh`XGq!y{95`W$oZ59iOu6Q(fQ^+wzrK%Lu-(iu`J)CIQ-3RK6f=4yRW) ze~7wjO39}s^4Exb5yC&4@P{OxBli1={WW4fo0vZ$?$?O(BceY#wKZ6t)7BZX_qlia z?Q*8n2}9jzLKn_oPGlfOSI8N`K$Zjtb%86izO7)M#r^JQdxo-`(?+m%!Fr`0_fMrq z)Cy}3*}`WZb7yx8XK>gR#Z}Xea|!>ctI=f9-Nx8ob))DT5105rI3B#QvbxL<_S*5U z&|;rgwf-%9#U(BvHYdXMsEGuRuN<_vqJYm6%e0+??9IV}(J+=T#}%k$`#|>}D9(OPZxD!2}2gs6u;00+~%Z^~2?^UfWvuC|Z1(xe&>Mr4acAf6U>1#OmOd}l? zC%$&3@KOqCS}0Tt_wn2+X=BWI&&$YHwfA%oH04SB@G)@)Iw}(5mlziqx;r~nBjEw% zAniId9TJ2Zu@5%TMC6k#izdBgmiE0i>o8S5#t9MPy9B& zwsZx}8pDZj?9;J6w)32;KR-$-YOcv7sX~O{-(WUrL&}~bJLi2tZG0?v;pI(j2>p=v{NY1&q`URm3%&a|2YaW6DH(rn@5+APyH0ijJA*q1--4tqJ3b46!w3#f97b83MN7$ z*I5h^H$`nW6JZE<+ymLgUChSj-C#q5OjLGb#FuI)vJ#K8*Pvibc?|u5OZ=3Wf{R+{?*hj}s zuj{w~pWDlDuUz0NWuu4QroZK-M!g6h!nl6jUF z$Vv|F%wTf`nqwyOLudS;!)QbFD?ywWa0H#2RI>$bt@y4p*ZrWhA-meC%>|?*Y@h7# zvj9$J5jKrwoEN|RB4PTJ7ci)9gM%GOQDen$=!qcRgu0{lw89S2De(I|AuPL~8nRr)^}nK{F;AD-vw_n3fvVVJGjf+qNnva;QD^@ZA);_B!U zbGR*@mie|;1U=hcyZ6LBJ808?STn#d^RzEMBJ|t=SM_;RH&g;O0o;2)XDm;oE^SWWS}+C_X`$s2X?yo z56^kAKh5XgKftFcrM2WixJnXN_ydV||E ztzaniN0O0;Fu1lc#Q&7Wxv*s^pO{&_;F9}>ZD;qnPb=>~y{84-DfE#`)y~A;}{<5S7`2`3o~XkN6QGBi@$*#=|0dVE!%@faU0>C5heC{RQK=?jr*iMi8Fo!64jf`bH zAIA_e9mgC4Cnu{S9ruQV{*k$tpJpOqNn~qF>mOfmh>$fR&xFIS)A}_@22NoAys4=A zn>7^EZl=*X;6(9(h~BMOCU4*fXLGw8J0d+Gmba-t;EEY+9M}ZD7o0&YN@Nq&24^7Z z``)Y6*!YKzfc7&e*-d&unb+F4qP_k=Bkg_u`nWfEyLs6^!F^GG&7lWId;DPE(a^dv zZJfjY5APJ!*BA8Q{S*R6K3|TcM|C?xoCka5A2%;}c7&|8B#6(u-1{7#6_F`8C2&jN zbSO+~^Y02<$an}W*}v_fHNU{dGsXwnxoG$d>O3iUqkh-IrLy7)uEF2CrV=e-_AOn6 z2c0Ke9A54+Kk5X94pPmhkNbfSy*c@@9M%V0{^v)gja7^Hdz?<1;>5J!a{=om@ znczQy7kw3n90m%!p^5VeLvAsN!W;f9ALMM+@P5rB??~x4me5YGo%7jGm%=;YEx&7| zWcL9_%`_9;9eqUbF~PG0{}TKf@~lt4+fRj}1B5ORdbgXe`|WVJ6-6ILzIVyChkAi$ zQ_;27}97^dE!2Vg&Q>DRor8MKpo&T8%hSRA;Y#@%EK zgq{)l_C7S`ij>d6|L9*Xv&h0NH*a99cow9k><+oj8S?!y6Zi2d87=)2z@7Xe`CUCW6>a7zq&?Uvs(jT=*Zv>-p4+WQ(A33 z!x{uVw4=91r7957M{IGrfHS4 z`sm#p%fSjQRYW7xQZsNy zduH+d`O5WyqBD-L{fo!M?G8O?Oin+;w#}N-C&{qbpHp}g1j+TQC3flou;8hGV0*t3 zLT_@eeLjHwUr?ub8J#tp>%Mem*fa_P5fi)b_6Ts!*JIg(N60Q=OHPGKBp6D&9BuBEa`V#);R2!`Ppe-(vCDQ zAnJzGSV}OmFA|s(YM+yS;`6YN@3(vs^#MNWZ`(RQ1cB!!TiUylD!`{aF`Z9i4wnq7 z*Hm;M=aJhV?WIMG!kpH}*zQpJRmb=SU9v{d4QG1i=l4`V}L5b!?s-i3u zbJAC;d$T~h*FgNJyEQN@2oDIj8o{gD8&Zo!=0K-&`|8$o>>Cx|u$S(Z8&pyG1v=xr zhTfeS&**G3U)AZs+PY3|K1wke;hiR=mf0ICklt3nStc_g3k(_ z(Qr02Rw3Rx4t9_tte30hpvdv}Z|)3BoKy9vk0sUwN+uXf6n%ujZfa}=)bV|h^5(gD z2`_N!I_WSoK&J3QhNVSyk%~G59WB#+AuS4jC#F*WAUmjFdr<8&Z4CmI*mea;6$6ba58m&p34?*@wIacc5J={@_p;42 z680IVsor!CgXfp^&z`T3fJwiZAyto1c=!8&m)I!-X#DhJB_8{BwOsO@iOL8D)^Aq> zI$wu_+V#Ui=Qu(^W2k7t9{a6Hn58{)tPcnEDR%D#jKjfR((2h8QE)F|`8E&E6)EYY zc_=l2bCN2R?;pHp2)b5B%?qA$BBSJMLO$1yAfir$Q#RG)?sY<&?(DSk6}HCwptoZs zR|5%{6n*+7#S7i+*1Pa7y5o!0FXqTh3bh-LUxSHoHf%5zf&nd#ZEA4kEp4rG$Keg10|z z)AtY+d;f;YrkeY=E<_yiK=Qd*qc?a_58C6jBV31 ziKEehnL=J>n>!|m?by3->r?xH&@)2c8oVT*U2|9ekN)k`P;_&b!nLlgf>A)|tUSMSVh+YPq0?@pJO;xxoR^|N8sK-t^K1X; z?i5wP2E>i`yR~)3++@QcHoSg$cY72?pF74sul%WsfJ>S~V`6(FfzWqC_qq3m&e)oV zgKSfo=3VD7C=ZpNIGPj&mNNU^^mRu<`ri?ym)YTn=p%T?ob`)W-M}Zqd?z(0&U;xo zktBP@36Aain|&SUk00TTM{f(=AVYEY?IuAdz~S*~PTBZ8;Gcel=wtjk4um}N3E$o9My01?@1#$I@?LHreKOaEtS zu;gTK&Bgb+7t>6|GPjdZ{ikgu9{et_FhBmvBia%f&s`(E&9H!{yYBvcTQ7vD{_kh? zL}vXv=NLm%RJU@-g6eS~r5|bLC+ENCHG|C3dpaK{9g&^b9yQr2GxUx$88pzZfxhl} z6?gyqaS$0YU%9Gt91R61_S=q|BN5xKS3I8sP-nx-{9&6gq*QgWNs-G5aq3=ru=>*& zIRVF*Z>1Xw;=aJ>s1=1!>?g-bg~?Wqzh>mU>BhK!w8*7l(*o8n3y~%`ceeleZcg!I z|IP^+UR$=w?{q{)#sZtRAP@9o*|6g2v^F~ZPBOtoRs(gIl6GFY;RJ;4#Vyho7^>RA zT2zQrwO0Q_lD5E7mO$N97YMqp4K<|v5Y&BKMCkGUBlv!y-zDk0^*9DOmxAI%9yJP-d zR7w~zf#`10`e{`YbjwL>q1oRbWx3w3(tGHSPVD;}KqrlT&V~K%x}SDK@b-{jhud=K!#He@CNl*ck52R2-Uc(}P1dKaU6qJ3tUTLL#5c(eU}vs>0*mK;+XB z`D?^;gnu^S4@vkR5&Qkb{u(i#P0Sw=_iM!Y5m6_~wdLw8*TP|PBU{ViT}PpH=Ek#O z6(5MK9laRB;sw#yO4$#~SVHB&Y>|ZXL9kW&mvtQv_JRFK_H%sW2GaXT0cAe}D0LN- zGng$q9}8h3PhZ57qTtB)B{sg4Fwks&RTX6&1O*@J=35uMq4?|vnlhz8xa6n7C3Y_e z%2q;7-Cs;2X0gt}b3^ill#GcuSG861~{iovhIA7`i+q?Y#c|mMf@-wM2 z5(I7ZLJe)2@N|2nT%w;3upbnyyZtu^mRf#Dpfg?+UMg6b*{SKM1F}PZ)Q!}FK#6nT zZ{PP(xS#QK7BIr~+LIOX>Nx)U!W*x6n*_kvr9(m|rq$qn=Oh$i~Ie{Qael1p+ZimK?GG=gn z7ei%RPV!9Yr~y$Y%~u#2-t8wLwR3m2-s{$a->;i3udK);`GWOp9b3eZ^_3CHlk__& z_3bHN-+d3ypEiHBdk~-y2t0blug-G@L4)z9tRj4$m{-@zXjX*t1TINM*nRbb{3@@V zVN=+T_#fVxYTB*SgzK2V(RDHU`1TFva7~|k*ZPnZY9?)?h~J*avmIcloUI5eJ@c z|Nd8ETPV(m#zbeYORn&7hqdYU9-NP6>S}u>)s2E%0>=cN2)upW+~rr$ zVgDaI6Z}W;;$UC6oxFuB@ShiBb-?Eu1aA}>&CWZpr~|iD&*oGff7GP;l@B7YJh_?X~Xf`18q%?a)J)fs9=(E&mi2))y@`YQ9c+m)gZljOsn z!c<7G{oaj&H+Ol!_c7n&O#e{yl*?D0J~J2@hq#a0f;T#wd1OKHlMA|W$RmgQP$c^N z^Tgi4Nmq)V5&AZwq!;~GO$Gh0{>fK)i^V-Mf%Afn$0h9afu6)9xAK@Cb;TchMt4A+ zqMMaX1EKFPl7Z0Knhu>2nX5rS=ybwQM&ad93$SKM;oUnUNzq;I>F+DvDa`QI#aU%( z$PLL>{_##351{DtT1dIj#UN4GGbsGwT&5!s`cCM+Vw0+bK(jJ*tJgGc`(Y0`1ucgs zZ;L_3%)w$8yq}kO@T1^X(^yI$!Mv~G)1(T{gVQ==kb%!j<@lQJCgR+@62tZ9QRF~) z*{1CidcXm+V@W$F-2-5e)iOAM(Uj7!5Pi(sn-Bk9Kk5mDeobvIJ~xVeI8%zw4*3Q} zQu-dE-{HMYvvir{2s{fnRW{5ygN}8`eKxE^hHE`z_nzbYMCai3Br%*<8(890s^HZC~4mh9qfrw^-1BhQ)x3a!u4$q@sb)IcCgZGh!e4TQR z;CSN2PtgH4@PFfY(hu)Dm6R~_C#w0vLD4rSx6TKHKRI^ie#=12-?@>|!69(^tsncj zdT+1`v6PYA<_S&g_q`-E$-MyhtX6Q0|6^7fz6X2~ zttFOR;01J+PLCuq@jc2PsUYtmGUZ&Lz`*c=#fU20s;uAs<+?pwv!dz`!}qY$9#kxw zUaJD)*m&&lv=i>Xh0Zck1;Sj)OhOJmSGQ0PIW&*+0I2@&XZ6JEP|;HTJ2?0A*^;oT zks(wy?vvw@vxW5Qhf$rL1#piH%WvB63ft^v%CDNb!l(M^iaLC+8#i)M^B(5?SEuMt zUyPDP-;Ew{Wc_pkmvzNq$#(2Zd1fH~n|2^%ZZb?NnRf!A=)2$Je&GGzl-nxl4--)# zUB2NNW@jMkrdo62@=g{<=o*yqaU67q^}JK$8~A=9{>Sq((;}WImfK<`u_hl`ggRAb z)7pXJBZjb7LU@j}@YmKEYiD?O|Em(cLjYtqvb^j7M~HrK_16(Re|)gr(yKrk_vOc5 z+l1l!-QVk@Ew#1SpO{==aVy9d>h?3Ux|avS55HLYXKo=7Hum{V`LR%VJ1rLP`^yU+ z3&}Rxrv*Tp;?Lrs^+1Tt9A*C?8VEF&X~9jC{-A49|4VNP=eM39-CUP;hnt7GP5c#o zf${k^{R5f!{;)x2*5SPmkar~hJvtBo>p>r-k50IN5C4g$mo!3v$fqTqBl1NE|7^k^ zlJGww_WOzbHDW%Sm_H)!*NF2YqCfgI7S+-d5(qjpVUngerxyLLWuC$MG^yr67Oysh zF`Z3@#YQCP-}>85?7BL%ncX$?Sayfa3Ra7@$FV>3KXt{||MR738W}20FN{CHxij5) zR{N(NZJ=UKN$Yo@32;==>TT)vgP0L2`)4ol`BCVnKf{4|&L*L_jNvL7LUM|jyQF-cWj;L!9Gg^g(4V3Fuas|(z#3- z9KNpzTw}0>i8-~kTZcSBaPPg!d)U97;DtXnJZz=1Y9Lv#3DuW;$lZeKimxp;F$!Fy$Wsn2B7RVj3SXG4W76NB}2TP!Q_p<36Bb1wLou(R` zVh2{$Q9sjT+#s6S%9?H~x<_`6aDF6<@(C`p{L&He2IHEXiha3;FrU;A`P;+;euga< zF`Nqm-A1aRE;PqE5Wklsf$kY_oeYYr8~$!h1j;FAdVgB9M?=~)rEk^`I5xW}y`&0; zAO10l@!NyQ_1&&r^;r!0SW`@=&iMU8^C2~5Kf+_Yp+Cx#CTZ0V>^pmI1ufZwcGQY~ zn2!hS-1c2Z0r{#i??B8RvqQ+IhjDa2Cv>wY@{|2FU;FDw;|oUGQm0E=17WW+-OPG& z2pOjsw-~2=Lw|oeUU!2T+m_^AJIvv!60_ZH)JNVv^!{h4TmTtw`Py~FxI-k=+3ebE za3dCeUJW13TyX)xa=MV60my&rKbjxm>%se|rc zx_LqjvRFdMdWQ8)l{Ull7Nx=e=${xHHLKqf6R=!h>6NZ_1UFt1!`I^)FkVA*?zy}= zSvOms#Erx}G(&TD|4(N{77K|2`~T=P9m|SN2+DO$iTcRh_05N@yOOOJywg;WPG2ZV zyQFUpZxzm@?|f57*5}OEF+EA2ZQ=MhiG_{E1+czj-QQnM>35wG`6Go2cJc?f!<%Wo z3kROK!=gORkYueTY?u^NCYRTd`-q2AT!fOSCurQGfGcm&{RRE2CoZpDz^9Q(^aBO* z2S~nsAP{N+-?kVY?!4v-t-&6@J^yNx`xV^BSnJCCtn9P`tY5PEw)}loDA$JK;m#|` zC~xOq--G)dGp+JeYGV(mUzGaHFBk-`R%QOse+h>31IgJRO2gsTt${5T8Da21W;Lf^ zBn(!#^Bo+_kk7_cfs~OQ3IZ}ZJW1A}Kq`5iaSzSE9eU5_Zk5Xew97x*bZaCD*7dFZ zQ}$x8ac(u3O`8N6kAA3*CR)PEwuU?zH0PjyL$UpKyFFR|`LqofSCH=Rjrn|m8to;< zeF3}v><4=)Z;<2{?xT*#CGwmtE(^ri!p0B#x1I(rP^zf-WfJ*UkE2+t7IiyN-|Tm; zGuZ}c4~%s(&KnY6AD?#m%PU1(+U1aWC&&^cbiK6BA^*#heQ63)+!i2E_0#P0M-@W% zWm;>?LzKVs^iVnv$s6p@@U_f&FQ^D%4S0!sr(;J)%xoI}bDqRh9mwzbS`Mz9mNheS zr$9Mt-9t2!RzTwDeBy-qL2)jRE4QkV&;Q@ONsWN8<3^h+Y*o}_AO7qQY|YD|j!i*O zm9nWnebE(WuREu0x*ZHN6`x)tI7kytKdJk#<$1&D{S{%es6O%Uqh6=}=aEH6IJ?Hv z+>QL@yltY)OQ=rQG8BItmv8`L3eu((Ck(F58`A{ZKN0$}D!v~T@x512Sd zt*xeR0p}^ywF$HbWMZ4S=;U2Ds44CFwcFGZI-2Bd7c|_VJMfwUTP6u2-W=F5 z65`v~Xki7oZf+)?Pw@JK_Q#5ysyGr$g56UWLm%q<0S}+S@%(HZDAHEEaxXHEkh!ri zq<7T^CQ5_-P9ED1VR3&bDY7iU`Sgv`yN+AK=Ba$j5e`2{o!Xttafk%pTS8dx1Utho z6_H1^2qv zJr1hv)95}uJ?whgJq|YrZaYz4SQrHSAu+S7-Xu6)`n4f9&JVVCYej~T&^gC3Eyh?i zf4H?4A#f?n8&-loNT1vl2t3#C6qUQJ**?rfUQ8 z%u>nTr6`Z*yi{0Os5R(hR6llD@rUK4+Wxg>G(Y#RuHI~98YodGLQ=Q$l?0Rvef(^J zobU4xFuBH9k$Bu6_U#@$s}vIobZ)sLPc=fIc6KjA3*u`l&o6da&pp9m@@eDr=Mdm! z&+;5WIbFL(o8=w25+N*`%S9+L2J~n16CY0M!|HFDG%+JTw14abo98YsSRV5&5cy>Q z*ET0Q^C$#EM%p|dU2GhTYl+gY&xezFp>_2w_kQHtu{3q`5gU^S5!z7OLbS(Y!12U^ zMH2EE_}F$mdgnprrR%YF`c;7LO=*Y#>U$v|t);J7fO6giZA4kWB>TXmTHVdjDt}lj z6Us_Kx$oskR$CGU&A@2S=do_CK=`CFxnT6uow*Bov^L$J~7o%se6p zW(;m@d-W3abNquJPH6?f%k#ZsgmMV*|GA+e)#MGYN+*|}p?ryi?3P=CuHj%tYW5%a z6$u4D>?Iq`e8KIxx;zP;GZm}<=yXB%Tw)BbUlmlNT%n5r`a<_T$$MymxiybTOL)Lx z6`!ZEXFY+XMkXRo)D9d@?h7rBc7u~V5+AZATmjej4QZd5OI?;Iuh{m6;dn4SkMnP0 zD?xcnCChsQ?1Dk7C}F?tTOXi5P~K>Y-Uq}!FkEoE8VHzoW=|GAbQ<*~-ySqC{Ev6+Mf>?LR5%crk1@|;{>A(n zAu#H`#I8ry0jvvH?|Q|xf+>Y%$olZ%g(Ok+2hFd_Usr6sVF?P2g{4nDrQwwKO3jMU zPL%iL{Dc0DJao|AImOhD^0SkYE>C`u2Y*W)k>N5kzBL92+uR*zKBeHHD4lU&IMEx<=*@UxYmYsLe-l%^%{mJT9 z-K{NNz3jjP`EbE&&JFOaBxFj#Lqq%$Y$vhnwl;1gbE~_xif!wd) zK88wv6SX{F0AT$}t=DB}U-W~Ex74lu%i_p=54qoY&6M@^lrdc4IDbk}(-ThiUi-8| z$`y9anSR@f_;OUMJ2L5{Gt|9`<9V6s1w|V2b@|f(DP<<24+tOlEgb*%B-$saS`?6f z3C&qHst-Oea4{z?QRz|2?{Xwo{pe3=e>5fL{_OoonePd0rMFtbbS(*^fpP5cda^;7xCLzsSxMkM;@ zPexugLHR98#RZJW-;tZ!nmDLKe5ub$b1Cp3m~uqs@=cY&&zoU?%W z#Lw~mr@SFpRqSv?(trF(6nP8kP0hxH!Ms_{daWU`*`t;Fuo@@v>*UX8^>3Bnbc@mE zp!aTMUrAH6^JJHmJxC73{0v3@n0ps>FH4(~pzj>d6{$KjC$i%ni(55%ufOR&V0plW z*uLVe$WVxKJ+(L8mEc1k1w?dQBJKmJ+)&*2QKU%jfZmpZ3ue}gj7=JL{3OvVK+&iyJx$Ckh> z^25;bs3xI2E?d)aONij360)J%Yzlv06@1?=7fhV4`gA@bPmNgkS2yn2ZzMI%EMY6v zXUqHt)}Uyo^tTh8Pqc^Mmgp_!C!#)>apk3@5e>@J*)}5R+$`cm;&xwKBJrM|z5eF^N-R6Ou&!L`h}VSua9Cq-C}AtRC?#NYXe*&;?EhD()~)Qv#Yh+AqYpKJ`Xq zO_P@IBj0|Xw_Z1o91$^U@9^@NGLd1)rC%cI3PLL~Uj$t=VCO1nSMvik=r>GxlK9pf znB@-*ehE<`?8;atYh@i^T;XwWIhP_)tbdLB`C%&Zb9g^3-oJ+Ti{SihoDYffkMMjy zo?pZMZ0tY6_iOn42=_;c)O!}c8KT?3hV_K!ZOCWG*mz>e&=(H3&As?|i3Hm7XM9D` z{6WqyXO-`Y$XENXuB7(=kflI-L$8ZEo5tLUhG#Wzncjs)0Jqw{_=;Zv;PmpU$3>)D zRSiu6$83Yp`Q1BXVp||EnyC+@y>+4Tb9ilHz(? z==|=lj`S$AGt|19ZWj3H0gjTs%sh|LeCpHzH;tD%ghj5V$NXw2C`a0l$ZrmZTT(L; zJ3QS1^TP3vsJTvKcQ|%aYNK7=973-P8r^@P9-QA zq$XK_B};Ac{aq+Kt@-QoQy0|W9amRzj8-5>F{-$iM|i<}a(@7?i#Zg=>&|M|IYHRi zFY0ded7d!#F8^gzgLJ;@WmeB(AnIq-_WdGWAf)F0QP>3eI~8+2EVCnDSFCqYMgf|u zke=k8dS_1bwz=ByUNr-D9mbznNlRpzrB_C$d)Y{XCo!cC(xb&9M0V7sK0IWp@3pPJ&##E^d@ z%y8nU9h##x%R5**^4%RU?;Le(U~f8s{CWRyv{dXn)9r5sdzVecvY%SP*BQl`!?m&y za4Yqy7s|82IK{ZdI1LtkweQ-f5pcZk(63x`gg(#XQ%)DvA#7dv`L;q&z<87Kuviv! zRfqHTDGq}MT71Y&4_u2?*X~?!0h24!C4KI;WZYsL zV?1G;W*786-Rp|}ZvTa6%zu~{x2v765}~$(h?j1k)6qOM=8Xzf#i=y`v?r*hB$zhJ zjQFwrH)Uw534wWMT4P*6`im#=x4z%-N>mVm`55yo=3mUOpNkD29c(#5)&Z;wSnsM- zzBgXKYC+Zq#@t84mXr4I)sZ51E>wm%*6&<2lj};zG2NfLmTONigy_-)%$X907_Fuf zCJzwy^TeyCY#s#r){&beaXYe}VSRg~`z7M&3(^14KP{o7QG4UH2$R0<0QF>JLUo3U zvc}trkT8fAa{0hb*3G?!%`Jy(ECB1Q+v7;1TimXIb-JR{=k37_383aFJ5n|-K-OJf zw{ZWFgL?>hDvoanpG=5k-=fwmwi9H1ei6CRsBO$m*eysu-^g?TtnXO&`A!Gt?ztmL z=-+tQJG!C?G8xoSf6bJMzyt@u5|TKyZHkSRbS@(I5k>FM4(wWW1Y$-ze}A4m7!UG$ zvA;$+G&-K*F7bYlC{xKj6Jrg31!;m>kPr2!cjq<{11)mDg8P`69rY|LswRN-%XR3~ zC93OYFh}a!{d%56?t5^*BO!8jHlRowhU=DVzMZjz)0Gyq8?BaLS#sOe*3%h29A&Up zV6%pxSLxh>X#Sipb)h${QVq2J7}y`4wT2H&hoemOZ9#RH@}pOUCh&M)Xv0YvRl?=w zM7P|k7IEv-T2PgaBoQSuSi5sjAJ%$0cND$e4Lh~@4@Z}1!x~qx;f|hz=pKnQ>BEq=lhJp{~XMn*#XJ z1wN_R&JXOtVrC`zLJ-Bwwe?*K$ z8ZzI!NjTf5NG!H7ayf0*1`WZ>XO7-O^A92sA8SGkU?wjAnwppetY`N~2%yi6`#1T5 z13cC51qkQ%12J;zVnmg9)Tt+V3Xmx&U=RG(Z`_K5B?+dE(acxt1|TZu^6+l?fA0Hu zU1Cj@{~m&c)?+%OE&yHlwdk$|NFM&a+K`|Qo40pS)b5ppwS>1P=bYrh_Ko+Q zV|NXq)>7)AT%!lUqI&D)_i_QibrVHNck|+u39!Fw`?zjx3U5j{jkoog!lXzyW1Sg4 z!LK6B2G632Pu48kJ;E(u;(_Fkku_CfB>eW|>KzV(wqI+2#!nh_`2HM_ziop2GO>T& z)|$Ylo5N=J;{lRb(wSFF8Q{xXmzkqa_`qw;N&eyj%EuTd3{LAvLm9om^OxmnL@=%L z`>0X{7|vRMGk|>Sx=X#M4>XO{!84-G%p3Xm%H0y%>(bTW z=C`mFsVp7xb0%d0<<|U;8qn#k_WKgbH`+b2b(L;d4?ZMOEr~v~fT1S0cdp~sStoq=|`_Qz{yYp7ey(o0CQ1AB?(GY+W!Xtbi`nS|}3eAdYS&pQJ+ZO6~} z=^Q$reXHJMfcD?kYAL5T`gy?WB=hkKk`vmEU3}2{monsk+HW|6{HfNx-xuCKGlid% zA7b{IOF{Ft`z7z=9bo!(z}`*ENViw`2?Lamg?Yi1pp<-Z*#MI5PPA%`i9w@`g|WzW z3+Ne&&gyS+fZE4q(%h=%WM2ApZZ@@{Rt+TXcZ-ykTSCUO^&c+9=>3lA8O^A>4pee~ zAKbgk1RV3%jb5*!`+$?|)9%8Ypq8-BzgfT($~=}u9!aT!m0d^5*)ml)mDFjiig>PO zo1(OdpC$abF2!uT)dX$?n6bP-c?ZKYbRD1NEa4c(yY`oZ8sJlWTUZU9N6|{Yk`T7D zg=D4cEFW1MVMAQoxx~!`gqWlgW-g+fw5>V%X~OboPuk+s%e{JF{-?0=^Enf8oosQG zP0Lv^0PhV4-JaTZ z@OO0oH=(T#px&-io_qoEwz2HCaWtnb^guOuM#l!e_`CghpJD}=cO-{CfD_uIhH;cT z=|o-Rpa->AecX9CjbZT`?eMID2ArmFEgnMt0*q6PTa447{tBAKWo-~ks5%=fs0W80 z%Rdx3jdJUrvat$#+K}EJ_y3J&%zu~{J;rV&m<6HSY3r^0 zzpj{&dE>@$YbMzOQ_y&tI@CIF7_6`8nNnJ_l6mLH!KpA}w<4j$!`U35YD{20#ypGp z7xQZa?fJQ_Q-=WS0M-SpcV9ToT7!8-$olZ8Hq}w?j2R5KZ{}KTl7kak8}jzn{KT{Q zyX-J4MA(0JEx2n-K{Pmzb{{I2gWSh9&uqW0s*D=lQnjo;3|P;wzL_&!iMtiKs`B6Z zM{URPTI;VOtX=)nHN~L{rlEXu_ZGRpYu|+Wfm&7q>t@NLNJUO=W57ClkXAp0-pZD& z)44Gz%p9mLp7gQTiASiAb=Rr>bfHg`G!zJWm)+qyLZpT-sTiqdll9q5c77>ZQ3gDc z%|7i${EGD*>%O$GUcoy8)!WhYm*?pWVNafJWKQrYKBD;f zjXfSH58{FU^>4IO7VvER&<*PqEBF-im&t9;7VZbf(rwAmfk20g%Pmtj;7&txwiM;! z<9-GAG2`x5%hEI^fc492a~Q)A(t~ko>0bwSxsm%G-0yI-Ob9b+c|b0W%8L4h5VTh_ zq-Lon6y+YzoM~u^1{t{vbaS7>z`Zi<&MEo`D52EJ@Jd4N=eh2Ex!h=;?R41r)vXcm zqdv(*i#`ZGR_~sAeoKP*^hb@jH*ZS39}(TWHOqw9WD?R>eFf#yHQZ~sJ*Ezl%mZJ= z8GInFUA2bZ{XgdN*#G=W!&8X5&p6 z^;F>jx7Jbb5+_g;VXAyzsR-ZGTSn4(-H0)RoA*DV9Gmjt52qK?y`h4A@%2+?FSyB` z-9dK`%@OamUbk-bAoodWl7ru$Ps$O44|a||*w7;)c%~h{{6M)wQq;S;k>9>ea_2&M zd=PmqX}?JSrof+W@cNy_78&Lch^p|JX#Eljf8y5vjG;V)tBIpOy}H9;Noj5qCx<<8 zk%exxufP+iH_7>mi~i@{ty2{EGR%0&Q zz3i<7jj|Ot()f`+ZF2ac_Y%z?*Q^oG`6Gyjt+sZ8n{)uz4e7yQH6Do&$eua&Zt=M< z3=MpVUPb4n`aY3Lcf(DA`BI5k#LlCHmnp;YCCUJ>I8H04``wnHnGLdfohtxbd+fa^w%;Q}#N|A7jVQeqef-guOdr&5J*bA<(6u%w`4TQL{mQ@;* zr}t*Z-s&ppQ1qT1A(mZa2?qxaD8Kc(lAqfyB_ppK5(A!(1!f+jdV0X;rlgweuVoYPI(IULkm%`R_Z!_ZnG=c9-@xvxEBm&o|_gl ztdXzkUtNt!$-nP8ngXQ_n=I!o@3>4PP``N^DHDqF-VW&%Eg>G5r()E2`!y66n+5qIE~UULR{B5dC|}=cu$Jw@ zhy~m~X-Ca%84QvU&ZDBXBv_Ps{AzQY5jgvg9_F`+fYdYF?FKWFp_P@itd$=Lm>0t5 z`2M;he~5e15n!GOT}4V!aF+NJ_+=;r#A}{rwWtI_zV1N> z=bkXw-(zV`XB+~UcalvG4plk^0mji$jYv_hhn@g(NkSxaU%syO(vno+2u8sdDS6O2 zCB`YnEyiiFph^4(fm58S@|JMMBPfw@`i{d|&#;-#Xw&=8ZGQ##cL*ND#C-L`u-w4@^BHSkw~@qP7ffmza*>Vx{!6(`oe&7VG24I z6L@#0)Y_P^HoUp9qpO^(&tY#jXzn2&%$;|4KFf#s0@in|`=uM4bcr$^VD{GeeZ*H^ zNUusc$9~=gY}CJHXx%~c_1jMf7L1=I_YtYHN@h(TB4A9RWNP=BPUk9KZq_ zmh2 zEY|%ow9l7o>N*8oK`+Z0)`xkzP>j>!pZuCzd>v~h3tR|V+E~N z%rI6E?U74#dOv#^% zwM5PMyqG4zZ2GH^Z%~8Kf3$n6qmK}gr);*L`vgC{=Bz0a82HcJ_I_`j)Q4ZtzMX(@ zN&752C_OTs!Mup(066W}vQaMXMB?;?H}ojq=v#&eZ;~zHb-dNhAVUH=8X`9GXf?>+ zceJ@u@Ij{-Q9u_#ze63(kB)?9UA=gOV0I~^|5<_Na+ls&JWo;s#t&QL)w{%j$ui(u zfs7GMpFPlZbyysnyJXb(4222TMQv(RG>01eXtAD=UkWDIYeo*!X%Y#WJ``Fh^AK%( z>UR{nwIE8=^y|e3u7o(zD3U#+K;XKeKN^-Ymun2NMVFsaT{498!!5TC=Ig=GhIf6x zm;jK}M~H0aNFsA4U6Iko3Y>iFtdE42Bklx$E(0|vI7|uY)=o;%OcXC~IA1pnjQ;Tv_ zeBTQ>7YBo=dv=-pLw}(4Et?C}_W&2u{OtK2I|$#cn)IOD1G>bwnXUhI2kG}MU6oPh zFk4S6@%5b@v}dto@s`;_n&+|7*Ht7?Zk;bPzM#>WD%4+M3z!$W%nbS&_3gm?7ACn=-w>M=vBTA z%A;wp?8@sgMf34i=W=$ww1%D3^zMcV2B1DuE!29*7}_iE=}Ssb6A^S`^cw5R=zX{| z^bqpxZ7(hb;cYJ9(D`|%I@;sg&sO0xOIQN$t?|RmTdcvnwv53x{s`<5{PSZhDFpI` z-9=@&oIy<7?@`{k3(($S6rQ89gtBIy1YUV`{(rmoS%8oU(J|LoL333dgv%+uo&BRj zu9LC{0wF^z`h>8=2masNq=03({FHVsJFpnW?#<@dPWW(*1`c1`L$2@71&a{}>?{dp zS+;~o@74=D_cCgd7W-S)^-VYz;f3+g+0E2W?Y>s`lfO%&r^FWwt zl|5h_J+qb-)ZbwMi>)Jq(gNuH@?H>wr=H$ae5Ji=&^^rU zcU{W@mK5@zw{M6+%>aGOPG)<+czbU&+2Qz682mFVrVroIA((Fa8ZR@L!}-@tV)G?> zC_i=L*{|m)hh$BYu|?Yw`1`su`G$?ixWzcec*1z=bgbUn`a<%5@QnEn^J37P4+Uk3 z37o$=C!+l2KfKW$ccCk5P!|pi-q_!L$%GhFXmIvqH6SqW1f9{%=r?pF_8bhd-eB+{ zFdt){#r%u;wd5L)qKl_ISqHE#V7)u|#+dEUOMS9FG=A7vP@ypcWj#Kk;G`sRKC!#w z@n3sl?Wm`|p@S9ijcvyAZ?7S7{fhFLDLxsZ?DW377o%K=RQ}YqRZ>lxO!=GtPj zSkpcKqkmTxU#f57K0@d!NB4N=s1yC^zvmo642a_5vdI^uy=2`iJ;!6ofX0)6?cz|e zm0rnBBa_@m?DSnUH!U)U%!#RLcUCj7?(zL_>WM3Crl~&r(aH_Y2Ne90P&S4z$3Y9b zefDr`c)x6MjS{(E!F^1!-BVZ+)B&ttT-3+MS)6o1#3uQ1Qn@R+@4@{}8RzhoflF?1 zr;=r?4CQYsW;PK0ZUMlNHJruW9|8+zbLFG@!O)nn=gp>#V9*zgRPDRr49%ef;dVPh zfO&7pHszRLlsCs5bZfyMzMBjg%Z~#vUK2Z@Q^^is&E{@Itp>K1xpK=hXs_ymH}(D= zbGZ75U8u3!52z+qeJ{>CkoCV^_U27pdN(lZ-R$gt@jp3}D1TLHP?Q9uk2{WxmS+$n zj2Y)DQNGjg#zFf0Np~nCo&}83dO?UFv&&Z@M=1POd-WubGl=-+i?;qXAa>t2RNQZ+ zNNCg7llBT3gG|j-ndr15{5o=tO*+#AbXjeUCs_9rZ`A_#9HnuGy_KQ#g{)X@CvYc-ZiHVgy5BAhZa+~F8nZod&mt+ zZ@2CJgZ2jCT$|?GdzeE`Aphc3jrX^X_`r^*u6O7b{h{9@O~L3H^8E*1Np;K#ga8T7 zmZRaj35$vwA*}rNqjc4v*J?I?4>=wu5?o1+mpAd&qjT?kL=2?zvGk{W8 zv#R4Lr+js~J=Dp?1WMx@mG+?=LWa$pQ$fa_@WpVVVy}!fEH0#kh4U&wcpQU2O_>J# zIlI1X68UQ{wmx2`&9j1E%j4&_QYaHaQyKDkbtt#z4dsc)zWy-A>3nT`EBgDT>Z^|2 za)rHDw*K9L=H7$vt!>LtatF@rU8)Rv?vOBWWk#Ye7~;jRUA$fC4SiJKLm#2vcQpmw z!0}aYG{?cq7;wxIL|(65Cq40nLtdjr58t6ZKeUmV{wU`HKj#u6F()h)2FX7u2-Pfi zxW715M>nRAcA=fTzvZ<7;Qh3C{~F#eg7dR+J|wOaJl~J!*RVeu`;YMb8a_Y5{n4a$ zZTA}TLslA!&>x%eBG;AMocl}N&RAGVU*xhaLB8WXq0DSlAwXGvU)?js7pToe9EVB4 zaH9LU;rYa1xZ%+7v$sDOk|&zSUZXvwqcU|QnrlID#%RsXTH6~T;%6Izr$ z8U;r#CB1WdZv;OdUwPAs@=N$XNM)ruJHwsdX@iM&d!Q&`_h|0(K=9rXA!imJ4Y5CO zuSKk*y$Jt!!991{XIGXBu(}GQPhC@iqrLs&?r6StNNHSdoYo&gOrr0F54e(f>5gi} z$RNrKD*tptqULe{?7GG+u*MYw^o5@#ucx4V1EH`j2Acvv?91ayZU_L0*Mc)AH#@_W z%jKH|jU?#kXTAIX=f17qsW~fMavlHG$$q1iv1428;Y3R#leWAIM2-L6)+KBS zj@6F*-$d=9Ym!66=rr;@{Ht%LdHauM0b1aays5tkoqyfkh|>GMDHJ3IT0;Iv1wrns z!p8aI$Y=Xux{FzK7A5O`*{fAR!66<5yosMu)qqH%09i5YTJUH{(#0!335B!ikfc)J5 z@b+Pf`QcchH!#^qzYSrvK{<2pyEwzp{sEiizaMwGL*O>9bL_)DAj0r%R;a=UE>4{N zHH`A{F>W!AF`h8qc4&v5JJI9%KX}Ichk21AMEw+Pwh#Pu@UP>Ja3k{u=R^kEovY~g zRQo9ABn$G3F*n*ta_W$I$2s5>9qTARQR1>!@2#vkf%zEoEaqR#ua>QPAv(uY$vS{_ z0qb47^sZoyWi_%sOh=p=Wd7_4=POtJ**FcrQZLNQWL^@S8|UZJX2jqQXF#w}gChL2 z)E`oLjpjU`9q$^A;srtlWlJ4Y2drmU-xyY9&wW-@`XBw{%I=j*rEmeAWTyJU^R5te zaQF!Co?(=jVh%ZC$s1|1GfkmTbWc6?f&O(o+QPBPjRlX3T600!@oX z9bR<)`R()A)!Xv^FvUINdyg*&c8FY&H3{&562|0jD=+=wx(REHMwdOgU%`D$-Mu&W z98f+5)~^~C=G%<2ez5PZ=ps9NG`a7={Z0i0kqO9thM8n z$@*XLMw+2ZnGgD1taFw)LdakLI@vNT$z}uM9C^9UGU-Hv>);{r-~+^o&93Pzcceik zzT3|7n+Yhelnxz#Bm_6ZUW8SB-A6bQPP=|~x)USnpB`>A_96;7Mz~CQ)QG1`LnU&% zrQy*g4e56WbqPo95m$dNU!wa`B9D2jA*{^#H&mhX@bb*v6<$%+plgUyWZlr70Jo9Y zK(7Dvb$iy*qU~~Zh^Q;G7H-!qh>l+)YnL|7_D)?$^V!{@28XCm4Sz#>;c)Jsc$Gn{ zejA$4j9ivX--L2zUNOpcpgyJ7wwl7!+8JV=Icjqv-F^~1zprYy2QljHHhWUT9FBrB zVG;A6{Di4?fvA;yIoP(L^el6q4d@T-QkSVwAVLDhS*xz;!*?Cgeis90;HcljSB?A` zUoK{RF3NEOyC~kc{#+Ay$Gq}%nezbDZq3qcIOhY8!}r#W?KOoRO?CF-?z%*`&og~B zl=G5bRGg}E-v!!pH4l{vhY)qEc4NIwVg#<6GmV|)6bfFjJCQ)RX6WwaDd*U7dpAVZvw;NCqEQu9Efll&9eJ4cEoq7mZY`&?%;E2S*}b@lXyGv zZM7^WfUy1I_6lC;5?aL^{$9v8-xQ%#X?4mPLVmK-x>Gv$UQMz;>x6vrPlY~zx`y7L zIce>FiVm6p?`5GA&H({%;6Y}{aE>jQFLWR3@wP^KyKzqdom0o1QV>!5xTbPy`fR0( zlMj44eB#2PL~$Y~lwU($3+{WR|M|{r&$qBt`_T&S@wiZ z*be{OGL{71PmA}j;r${wKO5Hx&OgHQ{dj&2`?InC2;Z;a^CR3Jo$>#+gU>veTvreC z?!8qij)5;0eiP54qG20jmDuI?;b26m<1vbS+lnNH+*vDM7?YB2oxlzuRDVC$yu1$>eIDKbk|rykKJG&gziv4!d6G zneLO)^U|wMDho?VJ4hCN&Q|##0MfrRm$IXu zYs*QcAIT)N$Ln40Z24&~u)pQqS=8J{@hidAV+3e}oR;`W|bZ zA5gokMR-X3+WF=dngbN0eR2fl48%{r4-fm`1*&;kpHif}!8t)bLZ{vz7}TeBoMHC` z%sZ48#g&uI-hgrR<}s^f0jn(to{S&3jPlm>1ei~Itf|0$zx^ERb#{PpigAl^%6|Lr z^u!el@D3Mw+xpN2OiLO9G)3&-_F1`0W3oPg@n(^da;bjE01|B+Sahk3h;`A^*;I61 zAm2OlX!lWD7-oH{YA1wp(_F_@uYdA}=vO)S-}-oxaf@+`@q}?IIwZ4`<)F*|;2HBD z=0(kiT*FEY?x4C;BVh~jmtfuqKXziFF9_w?M*cK9bJ2>>;@6rr@3bH=@AR7<6-;jN zBc96hW*HWT6PS-N&tm??{JPDSKV3FaiL3)y7qH&BY^{p^(``W3hZ8Eoe-n@%hG}l= z?MjpZu2`ySly zOuc72yCVnP^KKf9NdJg(h0f_$6*vY1X>yRtjw$n0#+UJ3`FD748C?bX(alHo5Q4S#MMiV#Atpf}rRj3L#^O?zilNjQhGM7iZ_h!Cykj z(EfXTV-d|2>i4Ak9ha~tteiT$uLtSF@Y7FatfgAy?;EYLo9Q3pr8^Fg(AQrub}k0q zK4J2atPO?_iPyAz(0i!5PWp=o^C%Fgx;^V3Y8Gf&?j8m z8u8l|9CWXLG(z{KA8K~WC`nrrZLKG1OlLj8qex`&A@ci+{ZX8_ciou$T*9~^iz@Pq z+-0V#)ZAoB$j+PjU7&FyV(xrrepDQaa`sxsvKn;>wWXFv!dtxwy!ROIU&DKAaGl`X zQJjB-=lk*e8utBT{}H~o#pjZ^@5XgCKD7TgRYD4ssPGtmpA3Sn(tHV@gizk#oI=z) z540b+eJJb-%B|hfIcgBHjyfXZm(cm1 z`dVKS$|gNGw*8x-(uR0-~Nz2 zqBd7;P^a5ChY>tOHmVu-@HNco>n_8$#9xk5HKs|bT#xagaR3?5hFa?#s< zbpcZ%C`{b>?}Q0qD04t^$Xu0ZxZ-))a5|KDWPAMR(?5=6J;VBDw)7-@wiCUN{FnZn zd%I`Pyl(``W4%#bYZw7Fx)+XZ+8+UZ=%d)A?tIP+7+=CyJ+w; zbGx}IKL)VAW8Ejt_?br+MnGL#rqoM@DCl|7$t!Ii4j#QfcXwpRf&9##5SJ5Zf6%`^ zqTrX)emxO%KciLAJLyV-%SVo09$O^=<&(?RYRLaol05W1w%QNCEvriq`GzFFvFYfe z`vcss;6A2N-BUqU_|3>R?+_T%VP0=f5E z5g^qTGmx{8yX3ycV+6Sucq2@EHU`68F*Yl5L!X?&khd>ELp+ph|24*^n( z|CVCLaPXW-Se)G%O8#8Me=i?5R%| ze^{bxcH>p@Cx2hFB@Y_P!!hvj^bM8V)I?BUHA|$F3x|3=HQUf%u`sx)*hT08>Z2&1 zooIR%1nkX6%;mW$_b|6kpV9rY@ZHqL_WL%pl_yCUHI zy9^o4oFuqZ`z7r4)dVoy;yNsQDT@&O_~Y32$t69&iGzF39U z2@;AWj~|+)ARX%2IoS9I<@bo*(u6bSkTzQNMd`B}A+vMOqh)<>VvL80!h$;*)CM_Q z^pd3sl3vmN{DLS#`$hOw%_#+f`Jj8CoFNxIRe@MGylJh!w;*8)YAH>};xk>%KLV&INwA9-cO77ui-ku`Pn!h66YV``F=dVhW**t ze}wPX@c9w0t8BeS43$5Sot_ z8qDr-h7ncvRqxbjI95J&XxJR#ujtRyq*6y9oiELw%}xY9#V_&9xw&BZd_00!O(XNd z?Ib5nErn1B%)PN4H1vRh?Qy%wt2pTG?7j99y`Z$#3M2CpiW770&b}kV)ylImM}gvi1GmV>G>{4Sw4rh`4@wM@1Ajzn z0P!iOK0?wQJOiV4j-|Vh>mWzV(;{ylyZP4>!i&cZo4$v@wSXnfQ2$VfyIYz6ttg6&H_Nj3|nJ>Ndv8YU5h6r1VuGNu#)^D*XG%)gjl8CbXlo5#%wtOHmVu-+|l<)3c3>`m5(AlJCi z7Yfnflx^!DwPXceJy#u=4+as>UTs$Gr}HIzlwE=(UZ5#Zk7v6%xfO_)=@IcKsir}fBshV||84kqhsGAPITzw|Hf_wO?E|BtNe4yXEm-$+Jj*rhVd-dj$&ge z^}O!qzUPyG;9xYsDv%6eXO^w_*khq{o_nzr&69E7)V=#FPER2daGrfoSDz&M?Ffyh z1us>*{fbP6*4yuoofwU$@vi0`bLZ&$N#JALm)BrJgw5=`yf&XMq4Bf6y)0wMuXyA$ zQX^8yUlR&MLP0B{4akoXDIy|*^~|!LaF|b+w*9B58m$>?$4Q+MLDnLU)P*t z<0GN3e$}~j2%XcNLPxg8roi;p7SW>RND$db*7rtz<7!^V^fq2lTO1o3{ycU2w-(IEVY=Q4YefJrj!y?w;7$ zP~`yy?qED-LL+|$12 zNt{#x(QD-ao21d3ZB|BhCAxR6_af!^#cRQVAbtMl(n%&M{`E+_Q-p?oauoIt4%Zl-9`dsV<5b>JsVk^|VL0@ed&nJ%AB1O= zZ*j#~YN+yQC1%hd`+)AqrXVm|H=`G_>WbYMYs`qMlEUzF6EpKl`vyA|jITO4Iamb1 zivLpZp_4&iy{DErKGFyDPkuiq7L|lO>#liS$4r5>)$UgDN?&Z=?&uef_sUq#?;mVO zdI{L;JNk8{reR=iS?*GX{PqIxs~#P=W{4SXc*mWS7lM)QZ^!7V0hrt7*Jg*3$#DN{ zAt8Zmk5#Sx=H%EFkBxS0vc3Gn70c)Msw_&R(?&mur}>;OI7yGM<2yQBB|P=jMD}rnEVr3YW=Zj z?>#w7OJuAtEakGucM?{Aa7f=gAqrzXn0!%9EDRXrUi*5dgwgV8@%%MBUj+Bh#{D62 z|08_AAKzcY_1U=o2!CJ0=SO&dl<2C$cb{+wHUw1U+Wt%hvxm>5Nwq+COYxQs|vM7zr+$WP?{YB4OLM4y9$C3@G}3*}{Dx z5gNHAUWw45y{5qSQj2m8+#i=dS04-mht=tkmHG%UI2~ydz60sABX)P~ zH3|hs=Pt!F$iHWMp0&?DD%wLQ-uyX=@~ennxY=((EDUURa3p*u!;2JI^;{_`tTyQ| zJ8eh)OhRqv6VRU5z>9m2svl(96{t*MhTj=|Ju{badNgrL?f%b)Czhys(ih?Xx zLyrzuSIo}G<)NUy9r#gW{zP(k)6U7&-kWBDfv#9DfpvH1D#~MBJAYc-avx}_a#A_lnd`hbT7vOzE#>~MZory z4@dT*x$TFLlAs;Gset2-?R~kRhM@?+>*#a8*!aS-AKV&IKFRYC?SoYs$h9z;!nW_g zm528F@H)lo7Ozun7QPdC$=)y`{hi1CdkBbM8Prx|B|wQQwKKav0`PkCntAX@0p)_f zo@_|r)gfTyI_L7$icsJcX6tT1dDpBD#~-vCgn)wE?N-%OVNkL4;Ns!f5L(^hb&S^& zUZ=C4_Y3V=@A9|fqWq-4xN~S3dv&%i7F#hP`t$^)VK^S+IE&*ij<41ZB8@c{jA=Z8^8(Iyk7|E% zuire%0fAOCT{n{cUO@GQ^K2%)=6PPDXymW_U!ERUPvpIDn*c0JT!Y&pENHxY zVs*~HLc$!Po_gHuwX(zVS7JH{)j2eNHo9<@cjB!%I3Cc%nSR8YI@KYb70?^MLaOR8^0zHGZ2(~cor5mt@#*-S@;FYY`42nHrV;D?S| z)R{1#=6hM`GDg83<4XQBN4%hO=!{$w%EQaa2vGim-nrJ7e3r^-roac5M>=CY$QP+1 zfDm$XKW6x=ZF;uA1^cb$@H0<56a5Jm|Ez3GAcB zkVD|xWN1sk0@#u+|Hzyye8)`wbDFz1U~qUS94LbLl*@%dZ9wA@kkc&hUWH$O0} zJ$6ep0p-ukkHx0_h@icLq|TqpvLVI*xAB18cRDIIz}@a=S8I*@keU*eUOLl$Zu?ui zdk5a{1}n2VXy57zdCi8~^cHlm>#^QBwgJ|lc**-={!UMHzwU1E40HmuUB9t#hZW-M2+)JvMh40?$28!q=Zqx+&I2=ncD`F@~DbC zttd$QTwYL+x$jaG#3b9DUH4H3g4GuG+_XlyEt&m>>dJZN#|tVI4m0<3?cWsxX0_YTvX{m{ZKq}3m<(}m>U-bI4*d%P4K?k69OkTPsm^SZUgpm zOvm1#{gCoPpV#+x$AbNVuH36%LTI@3IOL`S_Y1UFx95$WGRk$3Gu#tZX_E>sD!$Wm zBVLRkEQt%VB7Xv32dNveVc;mMp#5$M?RNy;@igiShW8nDSpRFJuTCiWI*5GfO-fBv zJ|3mQ{wT8rftE-J%jh_&xD)_y$EK3r?xld#w+^G*x56M|*!+iCkvkOi%Nqq+rbFQ6 zbtED$%Eyf-zWNw}@-J#X6;_IefFq0@74JmzSv70UcM@*ci<8OZWP%9@%(7~g)wj>I7}2o$sZ+2}7z%M9l5f z*JoH@G)yVK^|5D&h1Go~oSyZea9?@sRDnPkkR&+hPLEMxNY0Ch6;c4loudjxj!Twd zK&vB}@+^KjA~a^Y%rvO@Kz-<4t%D6(D9=SB@x_P-;B|`EEncTd!q2w>?k7dFwW#5lhL?Fn(;|0%)b z4UZmJ{uxm6hZ*C{SkELf&>uRyZS1)pt#0u;#_I{M(-Zl3gH+<2|5eX8{^7WoLRHH) zsX}=IAs?5MSo~?Y@o4N6{S6}zu=YJ&cWZ|acBj24imL97;kctLe&>78#b~TmjUk37 zAqB(n7{^&0e{p;r*Gy`!xo%G50h||bzPlaZHbaTfag-hF}B8`7Ni7FhEffZ?K5(Tx%$ zAStPJ?JLNn^%3u@Hs8)TiQXaXsz_YuKAfVgRU7;v0_=uo)xyq41LIG>H^;XGfp>pO zb^4=l2p+pRy#u}9(0C4^aVqhyaMf*@IB1P_k$hZ&hd+>fo<@PoQ zpPxvt+`U;Vvnv>maWHQr$%VkS79Yu1$d^N1-ThP092wfzY5b%+@c%w5Yk~?g9-wqQ z`w){|1Y8fDbLDMCKH?{<#~)b+0-d_ej@FSu=#cOY?BS0$P+J=#B6{csb}d3!xZaxaZwnQU)<~nvkdXheF6SJcgt9XALUKb{pV{r$!D^>p=QMqTWnrl*r(-=$wAD~ z#3@y5R`4zJu1aALe#a)M`Q3+>%if#RY1oVW{(3{nqD15$+DNQ%S46pOxK6~a>X<=N zJrxw@RIWQqhhha)XPR3k4dH%7(L>kE|M*N@tgDIoN?kr+#4MO$m}>`T)lF6Pv~)4| zR{0J)Mq}98SY@NAjrL_?N*N+J(LVm>59Z6~y+I=WtU#HHKKOi{-C@RP1Gii(<m~{AnE17OP!cXT72d>|CEUxj! z7=E;JPkCu#$!o3j--HR+%HGudy8Ql-7ce0`Y>xI(zs_cP%bH^m&Ve}}eg$A`pL-UW zP5rQ688V3BcO}U~*cTYTIs;FIDe&KG zRV$$YwxW_lPFN$rzBY?XI)fYGz3+#t(HcH1_?v#b;B+Wd$PF6*zb~MwiSCLnn-x5s zc0HZz=MKJ))EZJX(M)P8rc8Yry?>i0@Fry1Vlms+J)JD#!|=~3xNrZ{ihO=HyPx>& zu&e;D<~s!fx%@Cek&-pHnqZ7lD{_2djfnB2G&gyBgk!?bqAI`IkYKl)&<`dTYq&leKUets8a_Y5`=d=wm#KqQELS*y!LC@(((tdVQoJ9C)mxA0!OB!0uNjDQr8@URmVf$3ti?*OVG3?iZB+ zlC@fQ9*9N2xT|x4RSxpoI%^lXw9^N~1NHQCyV1UB@BDWC%i5Ub{xO3OlM%pfYrLM( zFbPaUPm-CksDR^wzWolFO|B@Xl=V%`gFzFZS8O)figXB}G0rMWj8y2{ouqHX<4eOO z&S!Mu6>&E3@{3yE!Vfac@|Op8<)e4QP`~*Ugn#nKDIIL6zWP2+EN-$2fnFoiAR9|3 zNDY{+b?^!Rrty??ogXH^o$yAX?~Vyb4bPvDbPj^$0ilH`IV#kiCbI_@`GPGA`!>nq zKxkU*HV#7lmvQ19c`DNXE}y>rvMDJE)=A6UujvRwI=@t*Z!T2e;N?|MS@Vb6+wa;q zT&6(Wrl}o*RxVh3@QX_ZihCjUK{4NvB5T??sm$m+HF4AvOMLDtm-hA`ct<4)95H6V zGITmEQdf6lR*fz~Y=LsL^X*=jm_XkHLAk-viQSAN)U z_;(Q4eoP_TJ7_?j5fq**K=2Kn?ze>ueV&orV(Q++ke$Fj(<2V`V9D zeAmYPFyVSPfyNK7O$IJ>ZSaACSQp`sTLiJG_grl){S@qZ;`uFH`^ebPizkgT4c-{V zcW0^48+*)(&~`a!A{^tJy>!lvNTl%@&TkJ6lO$qNSh4@*zwIJRHeeKXAM#(`-T!&Csr8T^%02&79$#mLN%QCLdvY4h4gc~p=cezi1>6ULbg0Nx-PH|n ze#d!VTr|LCv%LX~(U*&rpncFs39LuwoYkN*zH)d@!W&{Ew1riND6~G}Sj1A+ULy*y z=BU^SsgOZT{Y{nZTMAsFf0lhZlnPhF7;SZ?QNRD8z?0!T1rF{B+;{Z=f!43!eT+rm zZ&p5}x5W8tLzbvS(k~~tq14Vev+_^hgZDd^pNVO^okRQIV!Wvy*N{J75UDK@`MV`{ z*+z_@94L-D*_a!rEBq>CL5C#zeTj&4{G@Q4elYB3iSwec(PfqhxH2 z39av-+cvu{75U{`3kozId->14n|so<|9OUg>c|b<+ennL(|&G~NNcf}fe9Gg_?`W#Eszd(jQr!3#D;U}H%Dy(h7ha|X75NPM zz~s)-A8zY{VR6ShpOpX-Jn7ELmRQ~glyv`l{X7)VklK^vXy^qmrU{$-2VEg-;(M=8 zHtIE=%#$`h^n-49hnX#(qp&aE>q3h-Z2>n-^U9An=}a+&s748K!a*qSn2Snjae|Y!JIlpn z(H>{esbR8nAiNLcd$^_26MER0{fjxR!E31fiRyNHc%@{{zI9h9%+zTn^T(q5Zmk_A z;HQtVoGMy(Xn+XUu6uP^-KGGC1CK42KJqCec$$1j@qyves(wSKPzV@*c}%&@7aWp2 z8%Fo|!EvXj6dAd2Xx>9oUHlacBBikcf*QV%*2+K9@{kO|Cm*)D-t_`$MKC^G^+*`HyCY)(y)QmcR(+zL;{<|MPnX`DCc%v!>I(~T z0&LbTj*+%R_qfp~2D?I#55(gQf~U`*y@04eiz_N97whjiDW1AA+kt!x@O)Z4e+|zU z!Tqywe@Mb#|08_AAKzcY_1U=o2!CJ0=SO&dR5CHPL|%#n9<%$iuFB!?>FL`}*Sc^J z{4~==()Wj5VWnJ(x2dqmTygIMnyYfZ=UWgJPJrTet=oe=QJ^d}tZ}Bv9D<%E?Cu=% z1IeHU-7Ql{KdU2W6d9%hdW;eAyOC~N$xu5{yC?x%?y+s4B3&tt3u#R(fsWopSmnL( z@Q{-xm~y!mHk=9s!6RL@>#NC-P`GYe<}!M(`in~fVum~7794<{@_Qur70PFEntgZ3 zCI&hlT=*&7PlUVbCVT|6=S#n>@lcvtFf`tBZ8#>Q15@|&j?J|Dg6_4qrm`YlFdXj? z_AEgiCVNpJvX?(VmxQ!Fb1-lSr@!4`?+v753}Y!M7txjd^hvS|@}(0r?u(rF2FJ-- zv*X_J@OH<()0fd6A5Zj_k;>9=h)z`)v?u#O*}hMu0#;~_B_kehVCxKG-P=2J=usbV zag|%S3i($2JtvHhM-44DQ&3J$$zb<7BE+0mo6R5g1|hwyI4-mY_Ril}kK{%I{Cv+F zjteiB+JTC&VY%r$DoiYSoif)z`#A+tzAvN0AoJ(-JU+!BxV%xpJ>Xm@jFEPS3Y;g? zaA)$+4rzMJU|JmwobCyG^T`h!Zz>raTZiVk<)Qjs&B$k~`W|)50rVdBw@&f8#q0DH zpXb>&Hq;MaJ35~^g7&c2o#0|M4~EF|du>YpP-*qn^u9+$Vt)u278lB7JNv=mp$(NK zWr2`edhSF!dY82d64=;*-ot9NObo9a3IPtK!kp>_3axJOI>ze>uQx{G)2uNTpMTXe zj(<2Vs=M}VT6l!~VviTi=x6%TaAUr0&3*fk=#1fbjN>ehzc{{D@d7(V+yQVNzhXED%0EpVi(sp>nkGO;-QZ`w%Z&K@=~f5=~C0qo&bUGX`I zG8#WyUUklL-){$|CWQ0YB~QTl9q0YdMbhYXdT&tUE=_p`zQ9v@ahVFL`Pb9}4?rhJR|LM?*(p;lU8eFi76%zD~qE9PWi5q8Hco1jF@m z51!;lz`EVaS*u7-eQ%^Gwg}-F*MYQ%z-@aW#zx8W`Dbm+PD0p=`rQg+jq7OHf%2xd z>lAy&pxmyvwreKq^3eNJ>CFwvmken9e==XO{>T+`*tS0EEByFp53aE!MYuTJ2QKZY zNn$yjggs4tQ_eoD4?)+OJPx7Uvu?}A<4J{H@LoyYBQruTizyI+ux@2~PYago#b}^vuiWHqC_HZ~gS?P{0 z