From e59b312a88f3dffde82ecc6d2abb6964e33744d9 Mon Sep 17 00:00:00 2001 From: Rohan Joshi Date: Wed, 16 Sep 2026 23:15:16 +0000 Subject: [PATCH] First commit --- README.md | 1 + .../assets/W4A4-scale-only-loss.png | Bin 0 -> 119941 bytes docs/source/announcements/scale-learning.rst | 292 ++++++++++++++++++ docs/source/index.rst | 7 + 4 files changed, 300 insertions(+) create mode 100644 docs/source/announcements/assets/W4A4-scale-only-loss.png create mode 100644 docs/source/announcements/scale-learning.rst diff --git a/README.md b/README.md index 2579fd02646..b0bbeff3db9 100644 --- a/README.md +++ b/README.md @@ -27,6 +27,7 @@ Model Optimizer is also integrated with [NVIDIA Megatron-Bridge](https://github. ## Latest News +- [2026/09/16] [BLOG: Scale Learning: Training NVFP4 Block Scales to Recover Accuracy](https://nvidia.github.io/Model-Optimizer/announcements/scale-learning.html) - [2026/09/16] [**End-to-end W4A4 NVFP4 + QAD tutorial for Qwen3.6-35B-A3B**](./examples/megatron_bridge/tutorials/Qwen3.6-35B-A3B): NVFP4 W4A4 PTQ plus quantization-aware distillation, reaching up to 1.30x vLLM throughput over BF16 and 3.1x smaller checkpoints while recovering the accuracy W4A4 costs. - [2026/09/09] [BLOG: Improving NVFP4 Accuracy with Local-Hessian Weight Scales](https://nvidia.github.io/Model-Optimizer/announcements/local-hessian.html) - [2026/08/24] [BLOG: AutoQuantize: A Fast Automatic Mixed-Precision Assignment](https://nvidia.github.io/Model-Optimizer/announcements/autoquantize.html) diff --git a/docs/source/announcements/assets/W4A4-scale-only-loss.png b/docs/source/announcements/assets/W4A4-scale-only-loss.png new file mode 100644 index 0000000000000000000000000000000000000000..6ed23c5a4bc90f9fc661c0661fb729e92b223b4d GIT binary patch literal 119941 zcmeFZ^;?wR7dARGbVwtD0;80)q%?y;N=P?INK1DOD1wN9C`f|>(p}OeAs{IrEjfgM zbTelo`1!u)I{(1=;hjq_C-(C^d+)XOTK8J(UcORMlDUFUgAai~uE@zgP=!FS5fBK* z5-v9Q=A}39bMTLd%R_A!HT$P7?oXV|A&O629Bl1fY^_Y-ZstzTR`$>MxOjND?r^{@ zU0fWTMYy@`{u{w%?_|Lp-JW3&?tK=)|C*9xM zxcjc7EpipotTNr{_YLoSjwkwDNpX*?LlM`waS>Z>gZpMsB!Y~rk)#nD#)|m$@;VtV z6H(o@BFFZ%pY83L-OGcotIPcTyW{$&jMnl6qof(?jBLyox-AvP1_-xwkK=k##kS)W zSYR%HUw!vsxxTP}pCI|tkpDh-5kYbP{jemA3IF##6-9#l_a2#i|Nma_f9%r7Aqi-n zL4|=T*N1nE4{wp`T=k^6+^bYkhgKTJt_7!~)_lo6?q{b>P9*>K8gbVchROMuo;Q573PX$uioAoRr_uI#s|zh5XrSH72W-drt0;yP30a~E`jqd}WOycGRF-?=%Ed2` zGh773<&Ap5{E>*vzmu9OcmAN4)JUOBsmo!hq~~8ri=c?av;(j%zD(8m`&}z0?ms(# zWd8dcD;UY;Wt{gQuvDA$|6TI%{Bc*Du{6WUTrS5b-hx2;1XOk0A*vj56^gi*I-BYU z&PqTzAStu`Vg~Tp~> z)G+dAZsTW_0=M^Jq0Mo4k~}kxfTUz$F#Xh^01C$?Y6PDnwC_^n{Lk?sX`WRrJe3<5 zwi`E?31oZ|UNBgivMna}`rQpMvFm;(w4!dy6Wd%Wyuv@D&#%`B7ZWSwQRr(bl+c9!jV{FaEnGyIv<1SwD2#D%K=65lSK@6l=&!wj4 zVl*F_^TvfIjzqboOkYX)QopkHR#sa}?3v^4aB&(AC4TwF$nu|`^%dfR)h+jWG>6kL z=Ku7!&{X7W2r;BO`e;J6*$--AMOXjmU>S4%D#bsw9oV0&sJB>R`-Nf8dRU2Af?T=rlz?mM7`-QXXb@L4%fg`#=>be*<~*ZYBnJu#l@t+ zb>UL8-ao8cj$h50O71e>ZN#Wlh^nxi%&_Fw+&3MuVSPAVKNl7wDOj!GCzffs^PqJ< zc;t=sad^P_{QUmE^V7bLi^vI)PK!#{=gL&gp1)3KR!TjxnKZDzefAkoFtQibyxb4*+&z2u_o#^dAS_QaogSzB)&sF}}Q$mdq{E|JIX$V;(r?J>wQ{UeO%z=@V09q23^<7Q+HF&BGGYp>#Iy|5Ao8~>_j7+|5>{>QsfU~ zofyM2_J)u4(>scj?$hF9`yGaB-ewzHYxnQBc+I>v`kX&rad-D1&P7-9;LKgj-uu^? z_ip3qK9@gj1PdE1(k+F)kCiorh~z(``5g|-6(d>yYr`!k@k3VS!7~~9{*#l$=9v(| zXJdJjHN7f#uI^NYrRtaK&ciyWrM%Lf%{uX`uUF%Gz1HQG6;++V@h8wUzO)^dO!9qDmmq$orAw98 z4S`@Hv{ErJFFqsK&&@pk8B{h{`QKN{a0s+$MV?77PK*}*@3LTE!$o*th>-)x` z9T+maM@I(EVJ8X8L;vXRKkBJV|CmPF(@LL4u6ZhwTKy_ ztaG4i5tC}<>2|N!;jmoo<)snfkAPq{<|tf;hE&1WN7BgQo(vPR4`5!iIX@4)cQMME2jH5rD_HXT$Ac#O}n2%QsgcC)2{7@A#dxYGP z!}Aidv_c()xY>ts_-`cN|KB9f)hs7*CisUDIec*yABzgzAdKa-TJMsngm?#p92i6UHsY18Zi$_A%9spI*h+{9R6+w6j zK(aWbxY6U(u!R*uPSx>$*S`?r<&f#kGB1vFD3t!yw7E*EANcQG~@%IAFqi_EU#f zl~M9X!{W|S>1l&llUuSmtrqwf7v+hc%Rqz8#s&ERqd-GNb)%rsDJC^IESt|zJs zgeqkczH6kI8G43usR+J-=Mt8`P7ZhMrPNLmOY3n|a*KtAY>Q`=!@3AVR@MkF4TTr= zU*Q!rh6Z!$#AKw-4Q9J*8Aqe-UP`>lYvjd<^b)y$F%6_4K$pfE8BPnYcQ-ps4sHqv zLW?!4m=R&hrl{3If&M4hjOCh7FYkMbJfDG+5|Z)OLPWYWGkloM0!OwSFH)EGHYIxz zI13lAbJ28-Ldo1Q;RSe+hF1_PzaiNIP!lDeot0y(i!uCvSF@D>!P}LBsODpe(>N7E zO6}15jXwThKQ9KIpDteTh+C@lOZ3anA?dn61I-TUYl(sIbc@nIebJ zV2j)t&hb*{%UH1~>fX=PQkc8A6;k@#7zo7G9^do5wQ^f(BN#8znrW$RWN7MnDA^93 zZ^OmiF30tp5zB=JcTt@l*I|mA0QW42Wm+%!pKm;$*C&@Ae^@#_j0Clcj}uRfVAC|- zUHX5oE;|HrfS6rQBo{<9+g)7(Pvz4h_$(b^hX#+2-$2-^gbOEY`==6q*)Fi0%$ zs`*H6zxUb*^!vDURy~X<%Rmb+55M#oN6>S@zUz#K${v35XJGne^SFNAPrO{dFL&2# zUi?{Z1@Avwj05y*tjFGq!Q2gbkk=TMUdzK%JWLseXy=e3zB>S&B_(?N;=*U(;qh=f{S!=%WZ$Y)&~u!3tgZ{u`g10sZ>v*nA{hk_By z*Zz66)amof7p|5t`Oemmd;PH--aW+$e;UpGvx{o~JA{#r%V_5=Mu1^Ws*w#=%;gO# zd=@Ze3+s$7WQIrs3e%@5^Lgv&bzyQAu4H;E>&xKq4-F|jG28>~%`q@28j?Q3jOZRw zdmLEbOcZGyaA}nKh=C}}y2XQey{7$>`o2{KZt(2W_Hdxb!ISj;nLP85E5!sy0xSp` zJcQUYQ`kRwg#*v4aB}kYy~LK}T<83x8ZG)bXP3s|eZurz&16V64KkJ-F777Ppo!S=IuW16X zNW%n3wnpF-0tf#eJV!9WNOtn|Kc*K>@#J!!*y_${XbOImP$Otv@VBSGvZ`!YEjKRR z5|vI+*{~r$C|&tMJTYYWleCtx1_82mD#4H->|#DhX;NgWz3*zWr|(*i zj_<~q=jovGXU$`m;j(-EZu#{h&T0?7X*(R+@Ik834w@BqBiaEAe&OfxD28?6A_Acb z;YuFUkSvuljjb=)BQS=`bw0*~FX_3{KH^3n2QcU?bSFK?8uuAKonkUwkBI3HNUcbT z$9|iB9B%gh+jt4>$kKO6`dhpZO(DT|BNqN**t^`Lf->$r8m zVgLKusp_*%ffUgIwF}PND%hY+;#w-Z@>WA6t=vvxjtGHm8a=uaG@jPAap?0o9Vgt( zpmIbvAeuWT|Jlh@I*}q*vXPj{auwB;irqu&=v0N*(2fDKH%7PT?k@iqH678C!VIlzRqD zB|>;uZjE_L`HL(h8#~67Rx0F^xqLgNZe&QO)?^d0U|YBY&Y%8P;_0;utpBYZbv>EO{__^c^79!ei zfnQJcCPHZtV}KBapNC{>ZHcDZX0lq9l}*E-OC!o5LjP*`E%y?5Vm< zgox0LJ&6=`0LOq>{ZQZj#l}apP~4;Nk)vFu;7mM33`J;#-@&h1zoS2a@);{sgDAcQ z$W7|}vtp;>UK);4OoJSIEOqwo^w*Tr3JYV`;q!0y`R6w)szea@6)5%44g5T@)rkwK z_f4OJ3PdKY14SyZLL3V6Db+u}W6F+F*~bkN(`iRCCMB}3n13KXq+3mdP=|OHe$jOb zkb#il>EL_07(WP%QO!J??0FRyr*5uY6v=7D`1rIu??F?s9VbPRSmx72@;g!Lx8Us*WWn&#`383)&_`4M+|=9N)H>T8Dhq z30wzZZX7J6!@tQ9TBp6mjpbg@5S88}0*mAml%{Zh zC zJBokU9NKYrJ$W$GUnslx#8MvZcl@Y5c_a}YyQ%YB;De*Tq)r;hT>+!n;MQ7{-g@iE zA}M7@tVahnRq*O1Ys$#bx`t)X2zfy%#@AKxj;klV@BT$AJEbaX_mNXGiICA^u5^{Y z0Tr>VCT)asCNp)oiw^0L0nR`d`fM{9t8Uh@1^?&~VOgl%I2+B#kj215JHF;y*-kJ< z>g}p{dymCKIq~(KFC1M1NM*}eE-Cxo))SouO6|3E2y59>EX|Ldg*HH(QxnUVFwBMy zXw~)72=SQ6TM=U1~wvBQ3Vw$TrsAl;*^&*nHHH51LYMWoimAS+3*t;Qr z@IXs^Y&n*$`^f@xCzy|p-;0A-xkIAt!RFdbY5?HK@$fR1T`~pYx*p8TPSE#32qQAc zR<2Zn>R9Xf=tD>JTifxJ(qC`!4ix3pm5^oYrWxeq@IeV$__A$+C<1^v;=)vn2dXln zrWd-3e0CoaSnp_DTLSU@R>8%2uhLGB)wKB&IWzLGtNEbQM>Jf^2-(vP|*lbXQj0Ej@1qPaNz`LvsASN-$%DKR^99JZT-XK)f z4okDfOYL%z0*pX{d-i-XA$7<s`!{nuPiVs-5rqeS{<@%nq8JzqRoWYwdP15j`qj2~%_O+b^?WUg!3^ zIbbt!b=6=sM;R$Q*^d#Gqx$u<@$IAWl-iuW9^bD)I~H%c z&khvOk!-sjC?aDE8;0@oq!^H&{-sj>imFK%TJq#h){FM^d*+amBXRhU*X?y1Q)1aB z76{MlKB_R}=OJhaIJzs8+KZSSf^+VTKEC-T_2FK?ksecqRwTACVzeEn?6Nsu9;72o zD6W@bz42;?i*WZJU4JHk)h7H;r)i-f$1pbz{d&0Hxweb2odmw5PP^kX6^l!4yNxNE zt0fXwXfYll3b7i&457XQcC87ypxb4x~&QGToHg zb}JCpcv|=rG-RGgrW^A0WQ;I%=^qA=1Q?)KRA^=${d1WQdaG*07{D)&7(e$YYNUR> z==#yo8N-^+^94!hED>Qh9!cp7?~D~zsL?A{;M@rGXym^1HrSEF+ge`c)Y<_pTU@=1 zLF5d3@z0Cx@Bx@2W&tex+SD&`@BoZRpZ?)jRYRQjlr6fbicFsQy*P-dilzHs^-_uu$!bhwMD*dZ6T|lJVd<^TM}{S(I1DDavQ89Zx|c?RuH6F ze3{c;rE+vRo}Z2IyhOBA>y5dUpK_RWX>GmZTt`Q;JrB?ZX>u!IAnV&;`8TB9}pTIE1 z*HRfEuVi3jk$GF0dzrQKJom@y`u$ZIwTgCwQWSIN$;ry(+in*r3Bke%Dn584Z1udB zv~5O=HEJ9r5?FC?oI%!PY{M??)*^o1)n^O|AY*eddwks;Qy3U>kjpiyHJ2tBjoM4; zUOpz~;NO{e;{s}e#w$7j3qHNwjh8NLiRBS8)nc?_O*g=G?8w1@JzkLLHu_ZhB(C~+K8jB5eJWqDoH*C^RfW@VVZl$I zoEA&3!j2nFm#`u8GZFGXnV#DaniOufwJ%76-Xr$R-EWb}UP`jc;ueSsyVYhpX+ zSLJlQjI)TaDKa+cPNRjC@ z|b!?zb^n$_*u%TO6^1y&j+pw{;+HbXo-j6cH55@V-{HCRl~j%#}`)_Hh*pD zvTpkd`V&QsV9J_8Wf_>3`a|j7Z~5A|B02KAFMa3{DKLvMr4aEOC1vIw3)iRVYQ`r^ z9mms_DJ4IrSc6DZfABWbcthbQ>YmrX7tPuS@biS{KKYAk8p}!JNE5IiVhn>B-!OKf z=&40mXc`XE6-dM{COc;??o_)bwSp))OG4ff}0>I|W73D&;ngD^_%0TWph ziObr=d9rB5c)Vi0c24kgXOW&QTAtH?x`ZRib6B`~rHZ@n*RQ@D@v|R4((8|t63RB- z1{+Kh2e(uoM71wjDf??qW8ECgo^_J?Qnt0Lr2t}p4@p-CzY}wwCAOhLMfl@J3MhA8 zAMmgclRZYC2NNU4r0xPectH+*0}f(YiP_lLf6)4N&J=zjGJ#YG{v|j)9()fe~gXnfi$JsAu3n^z($8?_BG3Hj| z6>B1>#O*Sx!K(|~o|BHp`A3!9zDkEa$JK1rZ$W;)tOVvVNLfQ(P-s6roh+aYJQ_d{ zr@OY*t~KF_RHOH$6k5VjY=w<0kMO*J3dPZag-~i!lEdlPi$06V_g-Iy@_(uJf)N+Wc{+OAH?lj-E3i?xqX(;g>V<~ z*HhmN$=JyrlC9iOUe%%#ohWHHGAS?&4SGXFV!H6dmYoH0gP4*?mnIbWG{mZvOa1pnz8m?!DVat`;d^hWFLyAo{jO6R z-SC&&9%+y}|CusELU-4ZDC`3Z0v1!|TjmOt6|!6&NLt|C0W}TUIP23FZ?>DgIczob z88?1l$_g#5cXUwMnr~IuU}-i+&CcxYJbExz1PT;)5}~sBWIOlz_w?@yu9AixIObo= z?eBduwN4n2IMX(;lKa23tTL#fYin!w{ro8iAd@Hv1YbqB|S&n<*?k0Plq^n)x*m*Oqtax`>w zI%oTDi;KYm-i6BSTb=Q3#B7Zotw;7+gSVQSOA@^ay`%cid?oUORtsbF%NSOw?@Wf% zk)Y-Sv>;?eItAt0`5aR2u1L(h(B|Dy7rE{5p4Vmx!$xw_kbzIH51)qc%r2dy)vn*f zIs+Y;;m)nvmS^M8kF!=ob3KIGh}&6!0AhbnwOejF?LYmDznFm0qMJ(C6J@#|NK~&b>5PV?fvhC zJ_jaH9u0)L`^(+7tZL5hgnSjXv^ImaCl+P5)lO0(g;)^xrfA_+V*j{KN90UP8fLt& z{fFpZJ)popY|wZW00s05uahg+1!be0suIKLMRUGOjUZF_NOuS-t&=bUfeM^XbaKevB|8G{#<6ue`5C; z-!UroRHbYjd-XbGLuTjGF7NRRl5Uq)tk}U;HOb_oi;~~x^*g!aZrT+@Fh@a^GtV*usbg_8}5GTy;^AIIrw3*H2+Wm9k|JU1OH2kOw?!9J*R`4av1sa zB|29HB{J|iuero^y+?~*%def(SxOc>T0`+pZEX7#ob6AS!*bjHJo@=%a`gGEPh!Sg zceHN)isGf?8>Rv4!A-8_)#1=276@%^We}!P!k`k<^ep+$81~bW=f} zD5nfRq%!zq=A<$>s8)?y7ZtdBH}~VmC*ON|Zr^zJn{79tpsL`U3Z+Rb=1{|E)irDo zDs8F}v9BgpmYIFbIqlzle5N*BJW=FY*8*j~5eq_4xK_0hL7itD4FcE3fV zd)eM`vy!p0u;~dhm;1KMwmOOuJ+j&`^TZl!;~b~R)?j;lpG{AdU)OJaclDjfe%O#s@`2?8TX`ikSs%0nXMo!xlyAVJi7@p5*HZ29; zDW^N_@z*4?>Cb-EbX8)(pyH?0y~CSx?fjymX&z!zeTP?wH0YB$p7Lqf7izHz)OuH_@l%S0^m;-Z$}YBt*LS zSe#cLVCV{!>n?Ycd2^WD8IA*Gl1b%(ut)Xjd1+LpLXSPy9RY$3EMB*+mLKW#sZiGv znp@EZg}7&KUWqHGw<+v|S5;0#5GDU5$CXKu>O8!>Y;ph+#wR2V^%dH@a9q=`B z#ps6SH<~|0)>}+^nRb?Q&zR*ttc9{)iyass>0LYK%f~~6xoYC2knP+|OZ4GV8+b`6 zQAd4;1B;|((+R>`{)-42C4m~jU&K1~d16krlc~1uO#ey?`)ZHs4&apH-~K+b&Y!?F z4D6>upN(QztS^g#WJ=}ieXG@$ghph zGgF92)b||qsW!pVOd^N78X^nZIH---mIX)bgk1qQMV^HQl*OL(0vMdA@Q%Cc-nZRS zp6AF>5scfYc%JQDPe-~^3d`7ymI0o{IdeS{B%lj49Ja|#9-PXZZlXmC$V;cBE(6s* zMO=inNB2U+J4W%7KXl?Jku|oWAG(%nrt9UR_<5_905eXr^)!NB@-xnQgBJ0Gf1z#7 z*1dUodVe=J>7c;<){b%e8jbylIw76SFbi?5CgbBXd4Hy63vubDNh(3t>0j#vloG2Y zp&Rsx-R#r^>W^g0TB`IWCOL>{zZV?vtZqOY(aK+@2>uMI>jf;ZjDpHYqNSxPWOlQ< zJKA(P(RZbOJ>@lZ(f1$J2;uvmy#Pl-y?qOxgW+dLvIsLp+58PQo#kUDx!_EEkvqjd zk5zAv9&O$yVE21;0h&@Lf10YcEJXMw(tSZ20y^viqtjmQ)ma6u!3sOk_wt!8y_4?N z)=u|8oi7Jf-^geD1zqobK^Q!zGg9CO>7E=k`~YPAxE=|VPrgxu;iktuXXjF{gBfuV zx1Ek`lt(RB?Vnk}TG4#IKRNC;dl-dpx30XvnaRR7+udD=}k^U%!n6x z3j_n+;rTu=#%Mkf#0j9sAT0z-x9~`|0}ls6KU?8pV;bVODg2P-XI;GMCX67?RTS6y7`SN1@ zkjXGe`b*0~ru^tS=0klYNpBA+ zErZ_%;ZxQhQ!`2hWn9oRt=m)Xw=#X23S#vwAF$axLLOieZidv*e*%$N5cWC#k2&TU z`#3}ke;P7VUT>4y12H?UF5<8$W_gfPh>>o215~~ZoPw__GzCwm_Y7<*KxNrQ5N)W5 zLT|K3j|Smo4CBH8ixeRwBwUJa*cBD=aA??*JPKJvEmDTRD0duun&iEX71};mzdu># zncE}k?^yS4y0tl4>a5QX`#*IPWPrpzUAT1<{q#=hZXpY6*k|S@!?9l(5 z9_RAS+3PZ&uyhp@e&uJmO{Lq~*kqsYxjt5pC<|;KL{YqHb=hS4AmG#RjAFv;<;$r} zVt_#v0G7&{{Yf`UP+Efhl48QK;MNE6`yctZckBFTem(E>Io|fN&c1#8Iq&z#NnD;o z`WnjaC9QY(Q>|;rFWkCX2}RdJv2Og8$%GMz=W4m#Dr+nkzeT{G5uF4>zzkr{{ZJOk}_U`lhw}eF%qHT0G&93*9{N8y(8uWa4%V>W? zIA%ye^N&XlUZnO<)uPV#jV5>7O;}p=2}BS;6rAD_?%H?y+Rli-`93kqA+)4Z6$bJDY4LXv-I4c=m_`b*$QpDcdBJUO*Hn0$6yN4?cy@5#-|{u8P4TU)6Fk z{mUg&*=$5Bq~4b&;EPB9)KeF6?AtwUzF%pxeq^H_Pi?=t9sE3|=cjry|ETvZEmB7Q zTOcev88+f{G(>`QxjIMw??Cq{i+fM*T#X$0oSQBaEX`hCf?>v{;Zj$59lMUtxD?ZO zSz<68FX8P2l^F9XX49vGOrvhQ+quJ&GnxHlI}TYsXPj}6ICgcPjYf}Wtr3@*zcNsJ z8x|8y7(ThOp|aUW*E{|?n0|O7xIlCBK&p3KZ$ZDkGuNkSIN;SHH;E`nlfT|%cE%dI z=Vq=3f9g>B16uOquIk~54GY9`$82hMclmmAa(nBWXj6ra<(ofTrf@zaX`Nrm#|7kXCwepZoEnX<6inu{4 z2xGr;O{`~hcAaL_*#!$4l7{j1ciNpREE8xxLn~6Ra=f4?5dzvtMgiqfz|-*w`=+@| zhMDUW+}crp=2&9d*$?IQVuSG9|ERm+ug0_#z7IDlG9Pz)2$|LQrrgzz8{#Mg#JhO? z+ZE}~mxsiX3Y1Y^{Q8_k<8zz|biQJPXYZtJQNk&IYagA*iE>!{91<9gekkt3F}`Ce zEQ+uO$rNZuCzm{m;EWvK@Zr*0GGN9qc5mCf;Dfvh;noN(Z)~i zR>{&NmNm!oTH7YNepBV+5~+F>P$7)SXe<*y04ZtX&G0XC>XWa})3Z*qFFrFX54+kL zTh?JuJ3YULGMw>O;YvHaKArtLf7-gAI_BX$=*WYnmiAIMf&O-&wCs@VN$9{&%zK=R zyG|&qqmK_3su;(`p#z^NwE?U8G<+&_@UFC(XLNkxtk3k|XcWjZz*9%@&RIBZAj|sN zCLdIRh0q2Z+1b-AOyt|qr}PR$VdTh5kLeBQ8MzsQ+wvKUD-u(o#J3OIh}lkl=AIC< zQAQtq*k{{L>K)<8d-g*(oG$Xw)Uy@t`BE&so#H~EcGS4VW?Ch161h)Ar= z#o==r%m~c^=SxK@yAHC-;gsQ)zuc$OmiUZxcE9ZS`{^$i`l!2EnUj+%_1toi8yoye z!-3ifR}Smm-X>41FCmX(E2)@PSS* z1oL8N;dn`UKEp!!6N*c+bZP?F1{R$F)B)YjFrL-CSr5K``ey3zbZ zP8rIQ94b5PTU-swzGew52stcOX3X7OCW{5BFR0D3}q@1G_ndwxA)@E+8=xEH5D# z@HBn+4xH|RF_ug>cTg#Sq>s8P0V@fN3IknX>$k*OVcxa%X6<-Lwg(#I^7+*Q*ZZG? zO602-la&cjSwW-24+Mzeo30bj6j(}fWNKaVh*TA$)q6WWEoF!GjyYTF1 zsa5%Q_avX<6*%laofE+EdLv)@j@_@`x$-?XNoENXZSofP+r213Sfs}r$O9+ko89?< z5h|=hLR8H{&|Uu;5V)GlS*~fa&BjBlPR^?C$(e>r#PC_~_{$C;Nq^snPdQKk=l zRT^ymSrbQ=k7-Fj1ksI52k+Um1{%(MbmyEOp3e4{`E3=sA86eki`TuK^5>>;3bkktQ?qd9pV@l8JbfKKg(x2!XLwQlRXV9gzU)HQK9vA|CZRURl= zzHh+9==b6QA`(i+y;{`*$B_ z9yH>hDi`Pl$ev<@Hh?W_dnV)q{&@i~HwT z+;0J59PV1Z%5(eEbYM1*=+tN=^QwsJf!QSHKNUmS8tRaGv5jcsgv=*H;uJs77}hMj zcUQdn#r}2BWYGNcVv)VOKo(C`;<#9@96BV zM&P;tbXJI-56*)@x-D!GW<1xI?jFL!V~-8L*~$R5qvN9b$amQ)-)F>0cZjqa2LKGiY?y!LKLx-?FQ zOQ$bcYm|#m#g==S6U=PWb%WmvzGl3kU0DR~^?>rCHZ#EKnLH>u%3mYfN`%)R7 zRM97Nqowac#g8j#yiS}erFSQfQ6C!47P(RUH;7lh+DZXpqlmDU$}O_K4M{t7l)dwZ z(u6?_KrkYvp1e`I992Ph*QK)yU!${}X*mwX;@Te`8wj#9jl7s$) zWL@|&arV)?Vk@TXr>)azky&4(?UPkJM7ODRKA`ZEIxzZ#^E(I2t)gtQ+-x zd%75`dbBv{T)oy`Mx?kH4eXx&?Um_gN!ectoneeL6%=`C49$sDpB{Yesw>CwXzA2>0-v!>V zujulGNtVT9$#;9isqt};O*Sd_mo!h8J-?H=L~LK*);3+x4*+GqGhez8?3j@!asy3{ z|IyNq0l9AjWPlI0{j^?bp^GX0*r)fL&N6?WK2REs3#z8uXGIaJ`*2^=uJx$>T0upS zm6XV|w2KXYPDzf-9tUxBL-L>A;aniZv(;mZSs|7JWvq|L1-7h0W-|N(C5t>WK&WR} zVUxOhFUqB!aeS{~G7*>Oe%dnD2Bo%Ag`Ld+pjT6S$gZy$~IYC);_J2zh(8w>WvoxWcXm7HM$3x!~Te zF4<#+(&bKqW5Bt6ilY!sX@=Dv!F)}d@Rv0Y(ABW^yDSp5%+fJGE7qv{06R3gGdkve z<+8fm!}dX2*=n@2Aa7` z>e*pDIsH?3l(QI0|1)EQQ9uiTMXx;5Ab_eQ{hmf7_`TZ^TW zSQnqURmDP4Z4UdIi&;xYiM4e7Iw3+Vv`>a?N;EeSu**ac=Nd!-n0z3OwImdc#Q@>K zhynm`Ym<)-tS8Z?s0}sQo=@-6us(TxLTaiB&kJ#3vib}_9|Lg{XN|zYo-*r~wMWyY zzpGfk8~DH3BAy!SGu4an#{cTsFRWK&FiB)c_3Kn<LFTvpZ}v+SqD zQHR%n?790!`jz|f7CnDlN2*h#+UFIbOQFbsXZWZmo5)%buyl#Kz~q|xgz3)=q3tXR_~`Qd(`c1l*)Z=q^-skmabya`Ymm4 zVdO>xW|?PJ@mLx(0`m1YTASCb7G1GMJ1|d+nv!jt_aRmlfRTKwyV@lTNKaj_P95&LdVN8|;-7Q(>Lqj6w>)@WrV?{zq!&_2`UhdiVA$Z?Y%L z+#7?!`&jeRn#NZEv16br%4XnKeGBzSu@2v|P-|k|QVawLv@QlPz5HajTbHl5xKf6T zwx&h5A1fh+G$R)XDtJ9NoH_Ub{fST*u>8g7+N-XD_9&BrMnEO<6E}T#xbUluI*REN zv{!=00s^vOB7$mJLYD!MHYX+=aYa)oCt&0(UW`jkQb6xHsF-kSc#anI$npy@(9hc0?u%H)uTh$o-Zg9(T|F7^(ahUNB&R?^mD0Bt)2TKeJlyc*Zx8?r+khD z@ONyP4l!Tk`&NHLK#N7dA^X#q{EM<)d%j8!2eS7m$E%WlgkUDcpea>7kan!xx3? zrNr>vLZKl0?UmsLH*|DQRB;qI>>H*)JQr;LL{gx4%@K1G-mWzyEG7|J?=e zuu>d=kEB|o>Oc?}P4$b4+hy7&uR%9z7nii#X;WIhdOSN0fLF|p>VQ;xhsWO$KTKg? zEojxvAq(PH`fc&5N8Y!S6)ux#;e_#ZqN&r*gI| zkj(d`Ye8nkp=1O#DR);`4$IsroBp*>qmE48&HBH``_1t?!WWQa9Stmcmwd;1B{XzBTc9Q zCUGAzRQ0d*dDr4GF}HjrWHz392t!z@-SQOA{uqD5c^nnc_a9OR|0hSDim}T(>}jv(_bd!o{8gAU4zEvr zo}iu9IUD}`F>Bm#&?)xDVzgPcOlIvW@XgL~F_^QTelYST(|2quNg#84q%<`?lH zw_+jL`aGKGDi6vet(x!b{98#79vI2EWBlqnDIHDU)yjcK$O~bmz6M@|)8wHEjmP9M zW!2Wg8O~_M0D9xTy#E?DC?Bqc6Z8VtuPD-)IXBbRf`bY=BQM2zqZm_jquW*2&_BN+ zieP8W%& z!$|%9VVBNRK6(jCq^&GAykJB_x>9-&d-)dP50T>P<~})>r#_g@BnW zoj%+2J`r6fy$xCXd>;)y80IF>PD@JYX`fZR5KiQ4f4WP`c zjWv2B?920W9y5foZjm+3t8)~CMhUarGwVp^Gas^Z-fjV(Nz1Bww0J-kuNt(M-8S}A zvW#uFAgFi>=$oMF$*SE_J0h_|Lrkgsyni()krw{1WfidxS{p2Rx=JYgXKbPmzProC zpwVBQDt+!#`R(^ovU=^i@R!1J$NnG2-a0DEFZv!HT0lUh6eUzbLXZ+^6axf7X^@ge zP`YCV5epThB%~BXq(QnAMY_91I)@%|<~;-W`ToA^jrH=UuJz1)?sLz*=kBxjK3`L6 zJ}|iXEa*OYtb!7;_p69yx_DJ=M=bi{)%Og@xGCG0-A851;%bhXXq~vU6`pX*n^O!f zBorik+BJ0>_dplNG4~L}&voyV-#lhGoSsmKv&%1KCbUJCN-#=^FVKQHw;s2h-l))i zS!G-OXtMsR=h3Y&A3GKb>m4A%`~E(UnCT`DmizAL;?N0n7Gj#w;AE>JVOAF<-sG}o z`4t_(?(f!H8Q)iSPDRyBQ50C5nG*hRq=@rYBTFzx{yui+{X;AD`k`qJY7w@-Z}-OA zQ*4%yNDVD-*#0`yXy%$|_Fmr1Gg z`*HqAjwwz{f~|xW4Q0tl+AG4`7>`UVl8BL{=V)RD^FN{s?nckvIIZ9J%YTsloA|}? z@9uXP4xy(sKLqhK>QA?@$Qq=A+2)04!Jh%#2CJ>{(~ZSD?4sIFWab44Omy3e?|-Cc z{8}y{SK>kvFd3 zD08+k{7#1qXx3YQ@NwF4HRS61HM|Dl!G~v^-{yt`3P-ij(US9W7~(p(J_ zXnHC(hVD()e}*eD;@45;XA)N+DjWJOUk6)oz(q;LlMj@tVL42VHYD8}ZNbeW3~Or* zA{tj1Vz((t67o}%6+HnKRwZV42^!ivnq7>(zZK`#nkwUzJHt4Ay7RmtfmpxX42|h;Qb(OkYjea+!If+CcN$#-+~{(JYreWQ11hF>AoEUg`R|+ z&9}@Y`LFtZ6WS`3(TyW6PRxf()e|aCtt76Qlr|%O0=75%&|S*zotUEboW1D1)-E0v zkEGP8mjQzvBd;4eP6}v8I$MCLcj=_?Yjin0yq}%fedFhjnL9GW`1jmHyOe z@XkuDy}8#Diq!+k!xoEO%9JQBXD+OChm1-($m8nZyv>CxndD;as%_lO>uSD?*+AUOE)4Z({Z@wP*xx^)M(BmU);hUed8 zPIcO!`@$&Y@SGI)2Tc!<2TqdCQE&6P8}H6oR_ERs!7-EKV$w7yM6hE5cA_-uoZh^1 zB24NanGS5RPXF#mEJ^}c&5w@N?I?{M@vVUK77BT4&D_Dt6+7C-ifgEY{ddhDFNsIp zNU?i8O_Vh_yFL7U4yTtYu=mDMcBcdrJ0GHk!`Nv?$KIU}$XdNvU}zHY(Q=hTaUyWE z8NuE;aj+HUg};bs0h)z2A{T1c7SlpwJXh`Zh!wu|6TfJAbpB;`g+NYlvWDyOh~bb> zS`%-WxXR&a*SZQe3?-5DN4eqlmDIcHn>FhYW#^-XAHlrIdSHpg1DDU)1)Orv-cVvJ z@EX9Q2)ks|S*JXjzJ5D!&G_l-+mbAM<(*_`a~@evrnhOh3IhR<-Bc&x~rc7(~v9l^U$5|J?J;^QjRnN=eZQ{12=+(*pV2}&`041JH&I0fkQ%Ns zs$H1(QpU!yS}&T~-Lro1d)3v+Af)e2u$w;ZVl(-%^9WsgGB&51Y$h8H&ad)Jf7+2~ zU9sxY*R@yyOnk*@C59RZOfQ^rznlhsL4XiYL*tl*4nEs7GcntDrW3`xeYXu)A8=p( z{`1qnrAnMaKl? zLi35Wo0P2_Xt__bpmM#^KKqz%iddn97nJ-?JYlwXm z>N#S1yN0D}o-7L(#-B3L+RA`i5YfMu4MG1VKPHTb66BPb6dDpDQ1cxQx!4q|*EGQs zWoJ?y3HKTv*%YfUE9*4XL=*+?Y9L!C0{I5wicmElX z&G`P=prWR?gG&T6D)wcmcBo-QSgAD@dCG1>{b^}75&Q8R{U3h1PYgjkOu;d&Ht{tx zdDT&+SA_PG#~m*X-m93BjIOyXc5Vi4S=BmM)e>j_bX7sg|Mgp+p3D_KT*?sRaqlOA z-%1s4@|mXzE1kL(!XuC%sck&*2G)DPe#UH;u$u!mL(UJ#OEls%xaqVRP$Ff74PynP zm!Dn}G;L=$eM_5hZlJ)&OA!#Z{Xb7AYi2(qA-yHKNye%^{e)|aHLS&Yv;+BNzRAeN zMO0ytUdIB_{)RW39YeAUz|2Yy9IArL?c5f%mz-v$4B+MgW+IEGnW9cBdO_wYDc`Pj zy2lG&oF~|-lc(HH%ZhK+Mn^t+m>)5+_Waks<&SsjNq5i^$s9i|lTb@*IE@T8P@4@z zX8du(-E-8x-mFP37tKAhNIXT65*1czXVNT4AVfz~o2$i*NS)>p2hO+dli^<}S=tHr zE`C{wMx0XohBdA1f0!R0sdr&E-d8BOyvAv}KQ<3cSPDjKzA*g$XH?oc0DBpWF=P^D z+d=fDvuuJifpb<$_AO@*B7vH{olR2_hd{u(^L#^2E$*yK|@5}^~)KZFpgTuNN+~?$i zp!T%<-r&<_R;A`w$9ubVV7MD62i$lQfu_^E*;;|-x=fD5 zRED%{85gc%^j>PtZ4@Y@t`EWqR%kiF`|2AoUNRr8JuH^5Ws((d)tlFZu|;<{*2{<{upF$p|m>scOnF@kgQeweCL>Bc|O= ztgZVI-irk!B zPcYy*O)8)HeUkX!ek={li)n`+R0D98QspU{^9F>wGra&iAnA;4Txb}fbekboIA>D) zSv^9_xXEIWai~dCH}>)wjDXGiXvhT!sj|p}9=5c--M<+RW#t2@4Wxso#-w8!!psKV zNW1nQG5z~MDdu_o49JiULmfYlWQ6{6BAXFG+|F3q-5_qWb*~+ngc?G!aD|rX2Q=_Sfa;N_Dj>{ycb~`zqNStStY{Pp{!oj3 zJc}WI@kl!&;~*1D5Cd|V3L?WIpsHl5&aMX|R{m|)LEy?Z2h}d-mf3qIwEi^l6i-T2 z=U+Yc)hc(Pl6nwpQ>2rFG$tx!3p|9PhR&QPS|FDL>2BKgE-!7pdc4Cff;-@ zNFv5%QM!sbb1;j%VA!`7Wp(9?oh^>p$7KhtCC%?WhqM}H#a(xm8AudPix)=JF+NIm zDwq_S2<&}%Iot=9oS(U2tKH--4@kYFeggvP`uf@X$_iWU^wFvG_f8Z^P?Ev|(MQWT zz&`@4q1c(@o5Wll4}MaI_F6s-L90^4XHws?nd)fDH`AJ?tnW3~3<<(2S9hZ0W3*PN zScBsl{_6N$qQODjy6DZoZj$RgFmUe&C%C@I3bkilWcw8dU-<2!qW; z5)#JL2R;Zb3mv1Ho|)npVDeR1yu>;5ggjUgEIy+&Oh;ek1+lx%y2+lR3NpSzy)RhT(&@5ookp{A8zvt%xsJKVu^( zu*>?v`MnNJb;=u~n}T}L3*hewK&Rr=c;N$03SePs(obn;kFc= za7E++F`EJ8O^>d9ilPpFJb4sPAL4KtPbTn%6sA}!w(GoUSb{*Glr3Fi9_c~VAYtn8 zee$7TzLKJaF!y)x!4Ar*ZRTii$tt9N>72r;&BS1J3x>A3t^()>Da^8H@t+D~nO+W{ z5j}~t07yr7@B^RT54sn{*!olYjh_Rl_L{}DjjOL=Y1#feidf(%YSAEN3q;;S&&wTo zdY)->2yUE-JJBzOSXrX-4uX~Z| z-2`%=KqNi`jmZH2uL~aU6JiKzmrosfAfOC8n6=3XoR!VVUcmiSuk4B)3E}PC{`+*u zt(Y_!!;R-g-Bq%Csq@~M>s=m)H2Hs~%6s{)O8X=Kg~elttFK;n^f+ zDO2~oay2!m{;jVW#_O(%Dq39KoZ{X3T^V}LVWj4wlym81X64P~sAYz@jLOlcm>TU% zY}Mz7j`Oc|;BUdYx?~FCe{^JzrMt7v0TuCDq|UEB$-KJbD15!#=!f{>rVNAwgb$~Q zt0*7v{P?lYq-0K2F-qNo$c;=N|AIDUq`|X^3^M*M`)7#v@!SNnYEn}G$=#k(`fF-A zc$C-JL>22beW3dFEB7`XEf{@GCB8!f<+p>Uj1sA#8L1=p3#^`gymuU{{>YKn9vR>e- zxBlO#oFtZWO<6={m%5pO*|^(nysk%HB5r`Ma_OQf_)n!rCZ&22vZIZj@N23}n>qdi zwx>BDQDg;AO0(H%gdoYYZkwfxVi%m7O@T*bE`l7B3@=~5&nv0R>Pw&?b_b<^4dqFU zn?pEMqMKY%%6vsBm%6#+DM&0Xj=)K|IA*TVhkVfpE_2fc6+ zbffy39(jsCDdxlHND)rCZZ5`=3xGg+LWxdP-$DVll>OOi9VnT*eHQihg(vvm7!#Vk z#1khmSp7E3-J5vM&Xz-R<;wBC+W*KD+m z!-;||K;!m4;a~ZE?J|Tp4X|02e}M8mGq5r-xTm~qpCjoS`&Xd!^Q=Q38fSEIch$>m z%84pIi#5ylO(wv;4sQu;a@fk>Ux(w#0=zm_cZXp-4RV{A!*H(#Xpn^GkvoN=$gu(Q6hl z<^E^CgBo9WMOnEHsEqp{SB1j=1BnqhWTD!Kb{9~WPxS_ZpG_R0AZ6_wp8CVD%W{KB z=t)MOM7OcI?xBBvYtO-VuqS0JxCq6+z&hSyIo5xSL#C4((x0zv1W(F1=fC2j5#5st z5&7_C_sCoU6o%zK_n}e;s;`9)3B3W8*qxMmg4$9TozvzpFr zd;1K{9>j>wdHA_erb{4l12b>um2vWk)vZj=U6Y(I%gdomrzO99x)o&gAW_ujS*sUl zVUy}zuJM-3vG)5Ul8$U}lXTmyOMe#e)p26=_NO3YvD)^ySG4bB=8dbQ? zsBfPW2NEG(rd6Y@j>Vez$df&IvwrDZ%vpL0lAcF%J$9`inf=ILye62NKD?XeB*Jf! zP8cml7_6nAK=XJw`3F>1SL5AdUOi{skoreGTvD4O7U;dY4eZGaGF3x|v zwbisei}cl{r5&TVb*{g}CFbVMo8c`J&KQHjxz+fcbfKuVuTt1|=S{cYBe7%)9!tLP z3RFjrTFrGo(kpyiPUwf?Q>O1ZW`p0fns~{R9x0nYMsdDm5c0CYfgEvue{{iH!I4XfY^R z`l$5Hrf1P&m~<`Ds%V>7ftQQ!|C`J>>uU=Nmib&5;m_rS-&6Ipl;x-K;=t21w7=hw z2d}>c|BTK^L|tbb!Xa~1NWPL|G$DVG9%|MHo7er4)rSuli?_IB!`R=vem#3bU@LsW z{u*9Pr!PH`+7iYtZI3I@T-S_s-vwWM=*Mt7gvG0x*15TOs<>O9ikfPMLxA@==W}Wn ztIgfkm_`@5)u`_91h1T`<5Xpn<*#HGdeT_lV}pWt*29D9`MU~bxQ{zzl?i#BD+v&f zYEJ{6NToL5@C8FU373kE0X20-L8&F=t*B03YJcVV<`d4sYxn=|>cTO*|F^~fF8V@I z-!{-AT#6-Yf;;oGDrIQ+L*_-FjoH?`R{Z@xB)1LjD zB1Np{8McRE-Wtj%Vm+kaFa#!bb*I0wyx$vU4BsB~GG|=LXYI&c`z1`26$a76d-{y?CqfW9q@}+OTb&3}Y?aS-m9_>&owvXn>gWrSkr6TW2GS)KWR?Y_& zU#lQkBY<}GO|bM?&2=$fo&?_}UYF8@q9G3VSGc};ZodR_ep&D2xX3~C^I7}ym3^J$)z zbq4*bprN67zV9CC$XIvAKmySYYuDzly0@}e%@(i3id|%7LXJGydO(Yh7Ndb<)U)Te z!Wt}GrdtX2R^m#{bR*)H8`Hp2Wb#?_|IuJV9&<^6Q~(Gm-?p~m*GzQlj$icN2ud!) zpzn?TxG#cvC&ug1L`Hv7e`*JuNoGP~b6jH|Dn*hEm-mBbmLZr>kk0M40Xb36FaL4E zimYn0rioM3NATCm*mDy4c@#$-yi!R?@-HF{uR-$)iP#WmUh!^1RKpOopX`cJ&Lv|( zvO+>%M|_&PN><+*O>@a&{VIGq#0(12y*cVF6|*G$WgbfMQ=E!o-ha2h7T!Adz+kzk zMj_-av-EUvRhlMs(1Oi?DdtnE?tR@`(+;-hKG_y{FS|Yb`+~ag0aZl9^kov?RT}y| zU~|4KM?umesTM(!7e3y7CYtmef}Fb;;F)fTgEoe2N&+qiRY zT|fM+$ZBzu)BO{!yL?Q8y$6orD1I=ApjRRp%fI$U&D!A+;BO6>na(lf4zeP(bg|3; z4lDuhwgzW#0^!Sg8Wk7Uj@!kEeM918e6UXOT{gbBH%v?{nLE3~&P^_wb}bXRo`3uX zI27*}EUJn0Z;M`6;@;k1w*0o6v(sl>^2KUxdZi~hA=&EN?)&wDLhy-v^RD?r<6B{k zexJ-q+2zahK~jG`UW7+$?gpZ@_m4D>AatWg{$1~H3DXyAA}S3lAIlB6z0Ul5D!-<{ z_I4W?*ZWEq!^*1zg*}*Jdy#l85s94Lb=}f#n;mMm)IIA|k{g)tlq-LKp8n<&gBg3z z>G;n&vdkXJc16OecZ{sQk;Lq-)M~A+x?l>Dvd{+J3nQX}iF+mXkg#7FTydj{R$4 z0jOTmE9k+a7)Z;sy6RL>)6~qrn93^d;+?{Rw4MLsXz#dK%;-KWMn^G|p4Va^g>C)u zteK`fP3!ydhfd@r@8wMH*4bofZ?;=*vTE>IjmBd&qR_}x)2S|sAE;!U%fy$0w@;n7 ztR18m2K~BZk_#@$KeHv0Oy-;n%*^WXB4+#PfEjDCctu~sS2sR)@#=r6tY-O^W$ndW zYxQF1E$Fqwbmq*8)MD*BaMpfv`ZTY#;mlYH14D!7#RfIL$w~`OCIkHsmDzs`MBZRc zbt6oGc6@F*L`4h7+2PtoVNl0H+nn)TkH z<$kiv2Ntz|Fgp{~r%+GjBS=4nZ+V}mW$P>3DX{95M7v=#8I=OdZ`(|`Q5>8LU4jH^ z)xYn=yqA9oJO9XPBpj*_Js&zu?L}F}4z<;=o>aK4S7t2cyK=qS=lusMhd~!9wk@M$ z5n2L>ckFncz1VPKZ(vp?@a!eywP&4>XG?qKIxhF~=p9Fi0BV61f2=?%E&l>!`EIV9 z3$g?ucvAhI%MaYy1H>}>H~2b$2^xR-yrW{fKh0o@{B!D}#{vw2+rw_STOna*&UC_9 z)R#}HtA|Rs8&^`Z^cuCT=Cs$yKElj2Fp?ve_R#JTsc7Wdap{#>nA?t)D|r=+Z!3;b zZ9PAe_Nx_*55K(MaO= zmAx^`$DPUVrL{hN`c!Wwgnz@ua?E33qgjc3=8_t%cP+c2^XV%ITN-eG>3mj{%sFo5 zF9jj_CY<7G=vazwII;TVh1l&T5c+>&mXW^_RjF=qWRxpL!20ZcYT>eN*@&Z{lc;Id z+Q-GK&*ek47i|6a|H_|&L|lRW?9y({KUpdnaE7t|KYAdr}xUA+| zH@mH;nmgF*3U%B#f>@7|uJ1CIT?ccCm!4KFL=qlVACZxrF`e{Z7v$?MR{#V5}wob-z$Dgy zkHu+=-m`H+``g0ud)waZd#5kkf>q$O>bl{vMTQ?4DK^s!@!f-5!(ZFmeBx?)^Jt?> zv3G7)VD0E+3O8_zt)4md;)v8jBD05y?*Q<rbw{jXe!XFa3-P*-&q5o6Zyh#QF z^oA%_;Co2&d@aA5olG+t$0ka=4t!YrMlA*tE$}w%o z*Pyl=kfmvC6???dH(90A4m5d@eWP#^umN>x)VW0`9 zqOSDV{WFG4kj10<_2{g>J?+FVLV+!6ZwLl%tMML%VJ+Plwykuqd3a18v}m*3w@%}f zd*Qw*h1umX>Pt7tzLK$l#l!V)yQOnI1b;usEXTNp{I@v3nz=Q_^8tz0MM@)gfr+U`pd}Um(6VG5>-=}Xyl&#oiGKL!lLi3n-HT67)Y*!Ra=urv;QKax`9mA2 zmNET9=ZJ&t(0BoO<=bH+H%1Mk5Zo;NdAU158S~h^uWi)FpsgX?Sn8w+ppoIshf}Dc zlxvNtbSZ`ge)#@I#cDUM9Kay0s{2iVw4NK0DSWv_7_9ct^#-PpQOgzQYrgTw46nPB zka{-u#s#GiD9zSv;_NgF4QWcYc7`bl6f*C&lU0akLI=pTr@|*nwxi~>{&k4dBB5oI zi=SPm4wf^qf+v#hKk*qAo>cyu(1pZa{-$c}>oy`2m00|eEf*(n+`)chk&X&wAIcR- zHtpEblsUiuny9X;P=Mfug(qi6%=RO8DsvtydH6I@rB-HwePxu$xFEq_GnLp#b#9eO z+)>Z72yuyp$Btq|=MEm?i+@P!-MhI`xo_=*ptq8MPd^13x5f~wh!otp{LlrZEXm*8 z(}6py`03_dN5|%)alNRZimwO;!#M%>?jiLiq4a9(P^44LT!| z!nn+Fn-Oi~krQuuw)!#LMeA!DaXK`@JD0zPC#a?jGS1E!fD!KfXASCXHI_pJFSb4` zE3A*q*wX;+80cEPQ-4U#XwAZh0>i>6Sk6{48l)z=`4mh_r2m;=w4OG=eObDp?K<7) zsSZS^=}iHpe1zG}yzSK9<8<_aT1TI1`4YU!m;>6 zKJ|dapCWyPC%o(y!R^o*5zO+O#_cB8&BktOD4Q7J1vsA>>pRYVB6>ptL^iVVU$*y> z+y6R=r>L0t6cRR=68>wavBnK}e^51aJloW`yQU~`Z#UU)rM%qPIi5jgi@&c}nXKjE z!i#6XnE_jp36f2XX01dGtS@wo3;EX9Mg;1!=qp{^fB6hC+stACp6vL_e2<>s6y_iS z*gpPV!cPY56Dy}REAg%lGhSY!?@IHR`eff3r0a`!qD|hdpo1SNkpw-6P9?#J#gNPG zzG?;2bf#ED&ZATvy%@hA<4-W1Cl2d(a+Uj&&}lk&{yJEr=K|%&Xp86u3r1?hbOnRG zj;9Y!J(ZUgE;VmwxiLMNRAog;7(6CS0%^8#=B{@eDRleFmlPBfoMQex(LFtPFixHQ zY49*OV?mhINI@KiKg1<)2Hp_1-uo zW~sDA3qYNuU$v(2Y8i`S<3EAtu%FeIFNnhHPj+ywXMA@=mTM9Dzw|(pAA@F&_~-t6 z|FOT>9)c%B=wuJE2c>pz6}NPYXTCBkkE`3<X@@Z){GET?L ztesTip)4ZyntvN+3Vy@1$RzuS`&96!KselcY~=Rn3k(5N(e2zzU)5~5t(BE1@{MCv z1A8dIELR~93g*@g_Py)t*yXYv{nb5b#XaQ zCNpjBVH63_l$edG*OM~7_=Hcw+hXX4zNC3(GEanU4+bP}kV20wk_VT-ekX?zn!z{5 zOf*Z=(DTYV=o4m~d^lVR60m@#FW%(F-$%EHAFDDO9lgq6fuGO^V|Nvr?>wYoX)1Xf zuUIP3on=PS{rRjL!qL4RWN;af#xN2FJAA_Z{IIAO_`ewxT z@P2TjVgNgsJUm;kQuker^av($w_J>OJqvkp0G!}j8N~^YDVDgUOOXhN3TYWd(8qx)BY+Qqmov-^@V9)ZB`@d)ScJ`MG8=opWg*m@+Po$hw|a$0Dkunv|#c5 zio`W-*|r~fdIn$)B07KMvhU0hxzDc=W@g6bm2MWtOG5jc#yHG~*=!sL&8mP%`k3uY zWSh^wHYcq?Mg8P!#g+!aVeBM)GpDAg(pUP@4YV#LK{k-`XE6{$+IMQT-WwALA>9Rd z4z$QJz;5rmJ1`2gt3qr%GvSRv=vpJ%PeW4$jI)oBMoxF&VNEK56@MHprcNEj^RPeC zlsTqlUXjk}Ps#hN+g1ekeMypn`3-5#JyurDjcz-a#U!n^>VYAfY+ny62MTD$1hh>J zWn+UD)wm^oyi98{S>y%lHxPO3cQ4QSLp1D*!l$5>P|IgH94;suO^!P57cnA_J9`$6s%L6{d$fT-I7}t$o5`4$0rql1d zo5;ePX#%ZgF%UD=|ycG)*LSI8%*=A zhg_xsKccp!SrwF&GhbRMHNQ&v;EKX+8rGKlafds!PH@ytUO)QpoWU(7f&$q#2!|Kv( zN_t(=dFJf;%jH&Z8a^Rt=+bQeieQiBEv}Fed1qHQ7QG(^`I~XMhur|6!w;gLfBPvT z4|YXt2eyO)qgAmAdDqKBKk{aeHsm_DQOAoKKLklwI*`!o%1P5)pplHjZ_WW)l=2mz z8c-3_AJu`jAOD(?v_6N6UjmUyi%0m!7VM*ufxsPf*RJL8#ZsLmX^V^!cdtfFK^y-x z;$1&2D(N+O@F!sp`u^-!^~Dcuz`n)j1sHYytHAr<*M}e*G4O(Wcpmsbe9wu-$0S9S-ij6K$yGe*I!nUb<|NV~>WA z&l*K_np9EWCcWFY>RU(e2KE@=;V)8k{h5G)?m5>E6ziybe2yehOYux(39^0n?Hd&} zW|ccxK-{2&K;I~J_cBKa2^|Zb5Myd5cB0ba>r_CfVckl>f2;im0~y=c>SDO{oa!Ca z)7MQV&ZzyBi}J+-49pfcOm0^!qv?7bOW@qb?MCJndgsBpZODjDpC_=^#MOjkoWF@U zVf~myE6r1)orORlEwGhqvWyEzlm<`Zpvmw4#DJ_j(?A#fQ@q=S}+xy47a@O z7XRqxw=}zqzIsc&Iv3t=3#276X!O*HJ>hIEh{##!4mb{SEH!W!GV}-d=zqd0`!--m z4D!Lhf-wZiANOH`jiHV{S{tJM6$FyaHa}>{GG+JX;f0FL_x`K0k(4nyeScdQwF^(jjE^7|}1Re;RLz8oKJ0 zO|%GpI5L|$MQzn!UzE6$FM+6Iu-$r8A|cXNf-v*0kRr&HnK2}o^uBYbDL(jg25jCx zLc`qGS$E(#kJmqXbuvZLP3Sn*PlX1 z!l_F$M`YQpeN`AeWLG5A?+%-u8-tG85lT%ppI1D`licp+f&uBCWcF|*;=%uVraAC~ZocCxtA*@o zPgZ+&70F%tttxFz$AXlNH#YK;w()|V(IR`!qnTRg322GAQOf1TklTf<2wh#oD@R^F z{Z}H!H@HQVfEOSnPPi1f5JNV)Q+?+)u4W|5U6YnUQyGY;1;i!L9S-EmB$bZRVglX(fdw8`O4h`2P)$XXi9_PH{Xw7JNjPF zXAr?zzSsKVeaaz%W1ty4y^3vhe6Tk^NBaEd@jD17H&e;{nv;W)4=MslX(2PYz{@x;7}j!+}Q_i$Rhmt zIvakuTfG_tE#VifdGa^eE0=VT9GawOJ}dv&J7e+Z!83_Nz9-5TA51oK_6?6YM%J!! zpTNkl#dqw!L2E46o{yEzVQB+D+Zu{=`&Kn*^8NfgESj9UC+z5TZ8h`n_Z&)1>-Q44_Al!)^R;-@4*e(bY1z$^b;m!X0uDWK}nwaf5 zr(*@A@owKotHs+M;9J)Ha=#;fXt{)v*&m+*Knq|Pi2a3e^|H`kWvx_6-kNES)u1_& z?@ss&Iy$lF?y4?qyvzO|&-9#gwW5PnZ6RD!x5nw$Yik-siqj(v&`)@O3b#Skfk+pG zbX0ZOsI(cg(Z1{-T{-$FH!rn0wv$OahtMYAfggZ_e>L!}6Z(bD=wY#mb!BO|^K{u^ zFCuVxAL^jlZMd5X3P`e(#77Q`miWGpi0@2vUX#4^UW+)mTf6@u0N^6XjBy2yk^D3; z$erDCX@Y^UE@dyi|?YtUV1LGP&ChtM;SHJa4zND1A% za$;4_?*`dn#tCg`5v}L!@>AHh=#uAYXgtjM%i zW4G{^R$e-1(R$qzQYltZ@_Hv{yDfEV0^&P_-?D?-sXSz1H6jaQ)B#98XYdb5Pxa)P{2DoxmqOR zF^j6Veo^!p-|IoiG(7rik?MHBYi=s1ke?scbg&i2bKL<@XKg{}?7uz26Cg*#T6V9n zVIpWpTQD1ce~^jbKq78X>$aFw66R#Ck=R*+pUtFb_%y@JY(T_^rXerJeee92-&*2V zN=>z)cm6q5-zbPD>B`pqc&ghm@v5{BAOTAQu@vF5pX35~&L{}CAlFS&_#*o6K7J9u z@3KIZ5R~fAtKLgB!A*8yL~DB_>-{4P`i3KzkEIcUk3CyM%JXWaJiM6g9Y^zBE)eG( zY&wn6RB{#;pYz?&@_6#5T0E{x2+?UmBG2UB-z zBPlksG4NOy>uKg3>$|Rvls|p>@$9%Y;rD2hfKNv&hSO-{ z-P5*M|9UsD`v$lnGEIY%L8+8Cw4;Y2&A-CV_8kCg=e@=s?9Hdhw!NgS;eA|+dGA(Q z1=hTA(Ve)R6~^!u^}m#eF5(mZc+o15P*))&lW8uvVQ3`W)C{V?>vnf6=?z%Ie1U@S z0Kwn5qYiPUBba|ATlfi5HoT8F`^=z|z?Y(h?)yma@?&D^4m4Wf-S6defv$ai{`KPC zgh8y-9fVFO;m^}y5dOM#_s~T1VClNt5{BG-+Z@-+LrK0KKYh8VLRM5XbvcxaU9rUn8|eHafN^f6Mn(nS zry(TiIqNVa$RsFHo+9g%kRES^SDa-u7sf?!b#AGbHta1`ZRy2RI4F`Qs|dmMh?b2i z^Scn2IN)Vx9y~K5C}F?xFYWP3hu_@V@=$Cyb_AnoV8C%GzO&LOb&Jp0-OFncR}B&I zT`_y!d<@ZD(VDr6k9)RlB@$(@5$*&UsERIY0D1-tcVCwpy(JQYE9G^lS?F=ph&BV|4t(n~TvMR^%n))FQh;H#PF($T<|kti6Zl zcW2z^QtU6ZL$6>|K3vI6O|7n!8!lcI=~)zhl;vH?L-2)vB%J9wOk~_G4#^!J{B?}Hg$d6Bc ze@z44jKbFsN3EX&?Ypz;N!7a-CON%dWqfmVI_Kw=hk}>`tLcKcv^-xSJi{P|E(1ri zDa)|R9kRHZaj+(B_y6>&^6x^fx2Jsf*X*1df+N?P!R@JC846+K!D@A`E@2|=1nstk z2XN+hy-rvr=iasQ8g312Z}(v3LqlmBMk>eK8`ht48R|Oh`t9woE2b>Sls}qs-ds96 zv>VDg`^RsuA@;ny{Lhl{_L^yO)w0}kVKcwRR8>@_S!JC}hgyL1D681w-L1(hp^7MP z!WZwo&~3Y1!=I~uy1BE2?zL4mFzKgkQuIxVI&cJ`yTL?$T#I=XuD*qdvrFG@Z;`A7q|5e~7Yx&IEUjF1PaZzy_*H?;O zs?A*S{WIc~5@gYt-@cLG0}LLCr-;Pr&u-W9LRn9e9eH}}gy#uc`E2X6$JlzQBOem| zrpLG#6|QeoglHLb43t;OCbfNVS}gCl6@AJ_w&kaPaxs&EwdJB!Go}n(YSC2kvF5~a z0@UR4*|i^8XC0f&YncZhdnvC(pyg>W-`(0yGi=Q>-O7m2`Fe`Ygfd;Z`{{$oR+mJc z>*Rvo)fT915{Bake-};foJJv>7Ia8SwZfqN6RqmwUUB8uL8C#)O=jheU;X)W%U^rS zs0|E;Y9}1sAFk3Cjcv&O{qDC{w39iow4z=1@E*Fdu#kpzcWH#a9A|`^o$4)cp_Gug z*6ZHcMjy|5{GzHJ+tbzw?emUZ&y8QRev{_(9Ye}du7CIH4`jfMGyTdC`$(8nz@YP8 z|IgWi_S+WY;LJqHCkhwGBmYKu{*E|tdDNgAdg#(oBId+n!<#*JH?_6JP{p%>K=7iR zibWnr7_Wu~nOb<3q%O*`1U;zP$UvY%Rb=Q(nvsvs@x%}JJ#U@pk)xCZrW~n>?DiR< zf%*I9`O%)=zUOM7=&V&Iu4hc&<(26yX2VkG8EdWzUksRWryjVeR(mSLq2l_%U*`us z*Bjmz7EF?^wm z*IJ8LhUcN5c@#l=WKV;qgh==gS*!`MQK|XSkrJPeYmCPZr$^kX9zZ{pv0<;pU-C4= zmR>u|g(I)fzB@6S69SLFxA<7eE1Da*UcPlhvb4^pQ8m`Gf9&x+`g?x-Z=4RZ zM_8&(mnMp?;&b#CE6U~b^L&yB{pv(g&T}@D>0ec>@7)MlX?b5Og0zx99AHx__wxk1 zfek6dpI%ed?7@wtpEQIB3CYr>CyW)ub!I1^U&?6v9j7k?;symZ2z2E9g8##%9<`)sqh&RyhI1{?b$PY z?S}Qu<7<3ssl_B-!Wo(_3$K*xrgCt92%OC*ryT6BSNK@0uu)fGrMNz={)k?t9k6s43dL1`qEZUF`9PH7~in<2h4sPFIl-?dz?x?Z{Gp0oEp&wlo^&!JT2 zoGgA7r~}JaFVg#@i)vFzme!85r!jfrnb(t&Uu$@H)YmsFos*+kwb?H`)%f=L_gJ%; z`d|YhXh>3Oz0#m(vHTTPsp@F78&l`cm0_!rRJSW{Do!0m-^?eY$RWG>pljTo5|qlH zKATmM#*$1dxK>J55Z1)!5qw^}Bc5|;S2-J+b0L~VgL6N-YTG@MOC&K;>LEL`N8}c* z+q=;o?nkf)wO1m#kFC!AHS`-<>A6tQ-Fc47^(h702e=qeL9UWyzG)?FKeZ*t?7(p1 zxyMLT`kv!XyzS1DxNoDjfu)w@D@L?iC#6cVBu0W4Zo9u^6H{_y(BLZoI529-2^aR6e)-+2>D|aOV@#8x91JhADg)}Hc zH1AOs=P!{7D1|I>ICgWyjaqUG0y`Zltk*3L^96yJ(w|9?fsVTX6 zaa4r-!>u^Nbn`D2@B=pL#KVy@g6mU7l94UtX#rwG>Wlj~x;V|9&W$Z~Dyr zrrCW%YH$H=MUOLQ);naTOqbW45l6RvmId{;8`@UW3^ea6w7LE{Kk{u!-KOi@3!fp+ ztMcO~ULFtxh8-@MY)g_>xm4L(_Qk;_+KMMyhKtrooJT;6ld<;Qo|L3BeM0~_PNw(1 z2&FQ6+^Td_r6k23znLi0Td*$jCnto#t{TM~nYay+Q!~Q}L7m4I=M7KB=q2}Bm0RmQ zRm>G>as{9bx7mCJcAo&z^VJb73yW4;0p~V~820%f7S^*T)#8RJ)H6Ct0)e}8n(F7t znVG)z^<9A;uZ-;UY#gj3`jicFBJ9a>wF=iKK3r}HX?pXT0SDTq$h8xHTDXeZ^4tj+ zUHN|QT7p{l0i04@ddrpaux@ZtXGVOR;~;<;;k3p}w~?Ej(b4*dZai5crg5Q7uZ3SU z{@a|_xy4;yflAg#S7NT;B@^m<75b41?yA=@A=fLE_4y8&Q(X8}$lS+)?e9qE`rg5s zDdm{(p|bf-m&swXr23j_kM#guZxU!7gRAw$InmKmhzjER?@vX=quyM~JLSJCH_veeT%;vl_D(|+>^=C8Kapld<}C|v zd{l)&of4Sypb11b!H4q+$*F)ZAIV+NSE8Qv zI>l2@n73G8BMW1>ORIG*?GX3bNtb`%pC?XJl>qVeF+95FzgX#CHq^3>LuO+v0{OjueRp;2jp4ZCWiUV{$ZmtgkTki| z?BFnfsfuFabhQ*n)V)c{^*Zc5KJD?kFJ+bQYD!2{YgOje7{Mu(`SVWtiS)g1Os*A3 zA>wauW0IwvYrTqf1s~yt<+AWrDP5bj+)v4(qCtRCWnB6_>w-R7Eq0^p6{6tY)}fJ{ z;RZY>NVJX^{>Nfivy(islJdXoN-#gVA4Ci1H{UZ{qwLXp1Uc*<>Zd=@%ERf?Gv-7>4h$xHc;*fA~kKwz=0Ht z3uN;vahlUV5nh=IG;qPMXFlc8!?mP4#Z$0byeLH0Ot+l%y6>V%nIXpot z;JxN8T)dc^-|`)Mlb?&~A~=xuQ54C#gnTZBvAMxMqgNDoi#|KeS=>gRh zDtU14C6`(bk~=y%$@CWamFURI2Ddx3U087KtVQg;MBzPHeo}HFR(gA+94@=|`%8I1 z+An8wlCJ?eZhX|yoX7{%^oc*7DCQGFVUIX&WLx{-x2Zd~wVjrZ;Bc~g>OCakQX(m? zdzE2@1J^+Rg=ET+aiWkpn`AP@e1eB$hsfU1tD4oSE#7*!dBeT}Os5!_(d;~F7S`-* zYv#N!4(5~)-VK9Rwzs}hboe2dE6H^bMa^cK2^sQ`08MELzqnAMHW4zH2GLK5cw!oG zF*i^U*<$I_FDlbz&54XVN(lNhRhe!#yr3s>Y`bft!Qc|=#{j40@}}V-?xnnHFuY5`mEX|W_xkr!w2((X@xT2!Kb;&&&M*|9d+JKU z_Pxo<7BzX|(KR83);#%TXw<)S*m;UzO$sf|RNH#*Uy^!IB{tFKqTgaa;lpDqLSVh?DJU;kHtHmu0 z(mTZ8Jw`2U3F9C%6tbfGyrI+E>YS7wk6XAEFnB4<1hdh6$4ao9yR59*i*$1$J$rm{ zv#P$0n6|k}%G!+yqqz3MW^PUN`3`fAIXL-)x`i1_wtm)hg2lKUyOGJN!UOTE`vQ{AxJnwV6;Gb@7OPoX1VXFI*s)lf}THTN>u z(^&&71r6{Rcb%5Cy5|ZsF`10H<`H%>7&rC5U{hVSi7ffD6ooyPvoxrboCv~}f zSTy2)bE2fE4cpu|rnsE=uwjj2a%Ihv88rGv8$WyYOL`}u^;dmY*Zr!6Z@f*T69~FfF@2*bJ4D-RzVyZ2aIM%e?KSy{(NL}u)OtEPT(>jUX1_;vM=moEMdxMJ7fe&|6Qbhix!XtPP@Z@wu@TC)=`i8mO3?>L5B!Q+%#waV-2AFanM!YgOl@` z7@lu$*v@c$sHDzfy6(R{LKo~2v28z}L`*PWUv{mXpn&8vddbADv9e|-=AdY#qxH%5 z#eP#Xn^GR1WQ31Znm$*uN&>e7N=m)G?g`&qwj&V~B3CpsiepoeCdnN!Ltp1EnA0`9 z3Ih6S3-D`^N0V^Je_=c$ofL`VQ$A^IVV{~ilQGA67Y9a;yvAzbym~|K^7a&p@TUO= zSLL~Et=CoifIZ&Tpp<6#wiXMtxMF9NIalZEQ|NU^E@(9!G+gr1qN4G9d4OWy0FW8EK6 z5*fF7KziAIjD~MI{EpbQVtus%s7G7IqP>sN(MUa1SJYppdWJ&MlC|0l3V@vmE{V|pZ6aMZ`e6|zSh#iV|9|ev1ad{FHhyg zxWS3_twKD62(_{)&mEU8KXqw*BItMGJGw;s-Ti>N+k~mbYwsV5=6+r#!l&uQNAuQ$&xz1U0l(P*V4pXF$i8w$;GrsH z$e)p=bru7$7aziiIFbLRMMp87-nSvqb-wbHfKLC2)mPeR)L43okH`CK@J5JB^~44} zE31VKNEg-znP1MgMT;@Lbz5R;v_0DMi)DC|s)07KXL~wr0ZrGxD$o^mcGUO;&alRh zx`=Kot!rs!xveeJrTYYv2~xNEI=^;cEBQkGBq=t_A`WVoYq3 zv}mIL;PM?!7YcU|Ow{3dF!kg@`f^QTr{}tdNI!Qr^@iALeMHA!G;iGw+W0g@11+QDj61f;Z5+ z!YPaS+gENc*w(ymz6DN#@Y1yky*GY%`Pr1gzM-SJOvl#`RUA(p>Kq>!#HJ z+Tg-NWWUesXb0OX^rz zQ-8^AxgfT~^JSQ|K!lx6&k6V5F7fw7jS|Dt@HH|}t7#5SrCUrdbU2ZH!%RPN!Ay3l zj_*ASAP##~$X(w~&Uh!sNgB-~1bD`hE`K1cNXVHJ{nrwK2|%6L;Jic_HyGc*WNk zrkvJ2RYGgIw*(Q={dYp)=!FXZ$eRwx7vqPd%e0*0DqCNq0M;{D~7Q=9Rb|jR=^IK^Op_t{N zfdziE>lIEfE)7ue&$gl1RW$k7iEqJxPMY7-GDBbS(|EM>-tk&o`q!BO+7bC1mN)Kf zuq*_-vi|#!n^8iLcByxRinj-FL`rNBx-8%~yH;cDQORFLQn=<#mC~B;Gq?MA` zxKT^iz->(fH;k#0ILy7IF79nx93QD_oZnQ=`~Ijwbs}V3aa=0kTRZ+s**MPV;bOc~ z&T;&S;PF{k59j%(jUWS$DbJnZPs^l17~jVayok;%x!`M13dx%LM5;)m!K}m3nwhlb z1AHm2`0@@(g8yRLEv#YnQ3)x^Ouk|E+soAy1|j3npwV{!;)5?0_**@&z@yLRbZ9)! zomdzZ94Ex&`@5&%5Dft$PXlbl^J$z?7jgf~W(csqwYU(McX>agv)=2dJf!I(bJcL6 zx(2%iBoH5#L)Awdb`nOyWJ)V{%z>Q61YP;%toI~1SEbRxYJl%{F0@G6Ts!|%!t9^t z+mM3jmznm=hC&*(Wm-0nJPELllGNSJyi1%lwl^Tk#f$LWR^IrybR*Mfal$K)zFLJm z>0_DieJ=9aJcCv%HbH#iBPZgN{0sI6ojsYvXFv1Tvl@gn^MUC0SErDsD>fAbi*h!f z7QDyq;DmtdY_HTwA@{j)f1%oI7S%U*9@trI~Pp$#B~RbX)JxxI!>F#o*>DQ1obwfGaSD( zaY8PbGTp1w^~Mj}cSwupdm#VumxGG#W9*pDo>U7gjglHQr&COsLUAfKxiP{V_7HKn z!Wn*PSaq{TNbzOsRAeFNGgQNKPA_5OHw2+1Ws{ljufnsUbO4IXg0j2`0?lt~zJITQ z&NQO_pI_ae2kDe@tAnjL4dWVy_5G-(c}(F2+5Bpp?|oAdd%x81duATNQq3=pd-{j) z){OY=)fNmoKa{`0#a;030+z+M4w8CnjwAA+`KtmVDMBezu#Q&iANCMCvr5{kYlg2U zbx*%;I2&8wg)ir!DdXAQr5?fpdr8CYviIZU0K&+kSpG}#R~1gAC^vTj?bd$~Lcd56 zvTs@`oemkb)nDobna$N%vC|twRjUF`qi?441HJdC`Fig)8FPGs%+F)jSZxBQ^#en^ z`R6E==cWYm0h$52bOfchh7YLzIE%97vv_E>Q0~?g_{F_r4yWv<+N%D|xL&=_9a1{) zEb(Rtg`$1RW9d<;3QY^)RVyFe2Y0B(+_B}odmI~Ajq|Y~qv3K}gc%9fU+d1kJBo*m z>vcaLgw$O+As_!@xaj&|E*3+1I;?3O;3Gze2*yNcTYL}bbsH%xs)8Lcu zJmP{jA~VUA%OjJshH>xdT12$L)gEjn2a49}ppN#>=G?8?z&y=4kyh-hn#EH!yG{j%i7H zf79~4Q@))z+et4k>(=j=&~Hv;MHFayNq8A@pWr<%I=>OQlSZp_js~&y|05=iGpAZv ztd?|5Qp~Gdi36pO-cYY~>$#+uWBP{Hc_dQK{Czd+j*?dOcw($9eedpP;6t zBsWQ3q#R;L`Dxhr)yN$k^J@2kgmeF+AJM`>TN2`hA%8E$#$_m~P&{icDej)ik zn!>9r`Vh|>wPg!%Rbb$=3mXZJEH7+NNvEX_UaYKq-KUo<*itClT|nKbmlzbVWcPoM zy90s*`E8{e%1}fzeNPh!cY!co;@{7)D4K;e3wBx=EU5x#F#Ybbn)CQ>df5I>sg*7B zeWp5$ixMP>skSK&_rStd~X`PVbGaXZ@TYvWt zZd)s#JF>E^5vQiM0c&Zt4pm+YY2{+{p??L=~QTf`0#P z`WK_BaAt9t4@c7^@mX1Q(sA-D8J?ODF9w`G_P}g>QJUn&)V@Sx6oNgUIwY8()k;t) zu>tR!dUv@Ca@9G}E7l(in^RL~Sk*BKaIbU1U;!@z;BnD$N+C`JT3i?SFY+F0Z9=n}x5fhX zcr>?;e|inBxNe6BEZKqls_5sl8c3S?gknMF5<}>{qeESJ>%-&e#PbO+$&)iSqiqY* z)GC7NeO>P-!USBB+Qm!%nWRob1R=s>Z}mH8*@VC@365ZT-6pulJ0f!Mb0-Ue&Axi|fZFfe*?OHh>zmKBK!Rm8T7h4BvJsVC zvkP*(@8DDqLWqb!Y{^vvJJ1D*m-IEWmVxEcyM**2vZ(dY=2dqK<&LJTo(6V$_H=Vj zG0_ysOQ>N>H)?RSIN?@RQ5XWLA6VOp?@ua`&L5-Km5tAe7(TrB5bBlX0H{^@+P6?)rnk3}R4tP5UZ{O0vM0 zFA0*q^bZ`6DKMd{PTttoXZKq|5QT)R6qDQj*UvRJy)t{)jFkY|KZaEuaIe+X)x9D} zyb8RT?h;`Y{i-;v)VSSMd%IyK*V2{Ba1%vt-W3rC|%?Lz)H zS;ab=P~*(TWQ4-RtCNHEX>eRfgP@Wv&*2RUTX#6B#v@Osacys=-PVl|u%9=M^gt$b z?03ZDxm(O>ccfqtxP9s5>xQtyAs_3+;q})G4;nhYW%a99mediulc1vPh(!N-RKLX! zT=?U>7c)J#su=+@2%)7;rd)<S!liZD{J@j>ZWALt{iGDMVE-7OVhhkt z1l3RRjc-S}y#Me4*WYN;rMCPWW^W}j#BF**&TgKu6bGs@;N|h!8ZET{wUj2T58RdQ zh}VnLlh-3)W~E%Bvwm;c7N^{5thQ7&hw}!*^?>~w?P{n|T zBT7m#&^t^o1yxuUK)I#I+te*A5J8hat}!=QqYiPQx|yBnh+EZUpaiAe(t8yIE7tXj z)=7!I{*cm2XKVjGzy+Aohcu}*td-O}z(`ya`t*tz{+vJ_nD>U-l-`SaQh0tEj!E~! zzszgkh^#6;0xEc7M`T+y%WYRVCZD0QfAHosm~ge05Op}i4b7SP>uqY}YJaf_>U8pqDUD>hdCS zg=z0Dq6={TMU|x=)qU62G4UwX?cGP$Uq2Iik+;euzSq|4x*D4i%ybGgCV5F2a4OgI%-0e@nr{&XB?w-o|)n;LK z4j7z+8W8gTFH7hGL9A2!3rJW14b8_dsj(@11{$8ZcM|*Z))Iv0NRbNOG?u7qX4#!c z_B$z^@b#FLW}b`&^^Kb0x$6mYb?M@eL8n> z1l=W9L+*OKOK8#qe1W=|aYVa!Z^PqP^pXWG+$sHT$pxLqX|u#(aE2;N4j(f{y%CF~@J29mHAg20j z;lKQ`$Vi#dr1L~!-|*yN)2M?-DdO4#HWd$_;Q1^aKZ*G zeIh$9Mv1Wh!?coT@YV@H;|15X+WP7ZHLSOe1@>7>u`i#1j7Ge_)-iw4GEW3CO&a!I z(KJ|#Qe_doEicV;@C+RP(CKY9SJPZ|MhBpf8~3Q~ku!a0;-Dl#Ow8u?JUgMwqqn?de)v*`VQ z8IKM%*27W>x?Uy{8G4g#kFzuxPfKAqdX&a=x4l6Mn)2;Y^ypM`kGq&&&-)GBU^Uoh z7x6b9rQf(#67GWyf(PPPr0!O;Bt%e$OXIg%)nBhPz4+IRXwJ&<7Vv5hD5bR)#@%O) zLYpIY8#-CP%-n0j2)lO$YbIX&ULi>_?rw1FP#ToNKt}$CkI>}QBz=lx*`ujpxOrRRqS0KG;^9tHk1mCPNdI1@NB%j(EZUTR@OMc%62?i zkLWU6s)#41g z?13ELJK_hLr~bZEH~jHN-w%`4!=Ci8_Sisn?y3k-bl1@UnmyFGq)+Ja8efg)7Jbj~ zcmMt~8(VpWb*OIEbp{l<==gzBNNN0+vp7H>p5>p^G-8myz2O}IT``N!C;O?*G zI<+=;eGuV*QTF_K3F~R_IF`9uarLm7pp~sXHIEtoUX;G+;h4L?<%@U-Yc}?v>S^j^ ze4w#&{5zZf_d5$8d^IZc5J-KqpvH6@UqNJG6iqQ%(jotuVMYf0nYXRe{(#Bq$>NYw zvr@?yLrOJJ@3XcSgK0^=B_<<3T zCau3AV==sHKb)`&mBd)kpri2@jHxl7S$h1fma;(6seU~6@Y+D@cm5v2Qga7kSk;iaXct;d9_$m77g^f4{^j{ zY6C?QJiXGe`doc{B08y{sK`K3yu?B1%tx~SgjlLorzVzdpL~dCS)3H&qgDoWJbL?? z0E-iYC5A8n0T>cmo`|bxc}h9yLrwXc_nNFfy(fzrslWQ$McpwZieR;j9gYj z3#%7g(Y;>Bk~)$_gUEUvWEHH}bOvwY&YjI2+qB3kgJTsY8P+aJjSIC6pF1lWHk&9; zm^p>_s$0GUO7G~E5h`P+wsSzjzWl2brrZ!nZaAa+xSee!BeC>8^yJnlE)=1+e?{kJ-%@!MJz)x{69Z88 z`V5CqZ`Q6;?E~2Yz#*7qxoylTB=|OO>ExvWqgRTwLN+&{>X4vDSw6Mq!K72?ajf0% z7HJxJA@j*eH8%%jBhG^x*R#;5AWiV;Y>e!sndOXV&od zlir>7Go$zF2Svt{#tyGPkvhcyny?Vr^!;`>)oM!NSh;iCZ@k+r4nl@%%?=^!l0@z-V$xn((J}c4wDu!93{m@lZT)3&MGRv ze(nD(LQHyP*G3Y`2b0;$7%1-0&t~&3@DSKNn}f4da-#f3xyIITUkC@k_QdKzV%$MM$EQ*1Q+vr679kzd7~U ze(MtLmCPwRR`T+PlJ0z|=c<+|d2WW>FE25$$rxmb^q{D#`cMovBf(x&sJ#MRGz3JC zlKxFhUi2Q$YqD1aNT7wKrSJZiLmKa0OZJcCOr&cEbAGU>e@t||awAZ0hb1PQeHoVS zGZZRGxboR@Qe^IR#NK?*joc+?<2BioIOBreHz_>J$%Jwg?kVO-N!K1=9Y8(eQWW999Zrf{@8|GzN<3unvASMeO5os-{{WK1brmMO5bf! z$0R0Sv>|lfGSI%!GfDbRP00+E8;cp7`YWU?_j9lI&79nlaFklDp68*zJM|_!Zy5;p z8iA@ZX=0P>Wc5RG=F$=P5Vtad0alIxg?F1dI3Rd(+;Sr+Q_poj!!D2Y1*U!$ko zPmME%TLl);LJwtQB&d{^?Q;K#P_TY*we5k@43>l#wxZ?KAf4tt*}Or2QO8e>BS?;U z*cY3#iZ*U_sgQJ;Y7|WKSNeV zlkyk$kYIaisNU5AqL~}Awa3p9mV&{T&s6j9noSS8oqQg5!(~iW8M7baSCP}e0kd0E z{x&xrBB;pc`0a(hcsSqjVv(#=IX0J-7Y z(0NyOp>FPt-(m_zx2}5uV**{6t73r>0D=5Fn@Y95;gP=CtQ=ASN#p z>eTM$)QQufDdnG-c`+D7r?-z&HJ3k*l{S#{vrgI3XCyfj@VNDkW*^gl>I?NIg9okX z__14E%AM2;v9jB`%zpf0+S}ed!W@BLJIasYW>!R#3%BQ)6q?u_kR>6)AhNpfX$s=v zLE@|RotoKiB2_UtRrVb6Q7Wv)tk;f+VEIR43dQm?B$WN%*%##has-)ANRh9ADGgOv zlR%U2R6CJ!a?SQ_KrdI;_1R*1tCRci*mh(aB5gn#o=5Vr7(>K`y@ks|Bb(QMi4czO(8s_j8N%>;oyCX3_A|;QO^%Mf zd_qN3P=QP5>YZv7|9O#L?|MJp$6Ur;y@2t=3;jZ8p6b`aHj+x9e0bA%TW4)1XuVP5?P$iB7MbBf=4fD;6HP>mMIF=Uu@`Ta4@b z;aF-MBvmuoyp|)*l515*Uq363j2H?S*RyEe6*sLDYEO*>x;yY(F@{uRg)Rc^@|ey3 zafggi16HukMXTS3Nsi;%cABWRyoL=J5IWtwONb2UeRV-6!Dxxi*H(j#XsisCL$ub` z&_%I(wAz3ITm<0=)itk6mW{pf5M~rF$T8YelvU$ZaQ{>>`DQ(Y(br?Sq2!iXQW=Ty zzPLcXYv|0+F#G+_Y%2Auv)q-tUm1$VC)Ue+`aCP6$a(oZGe2|us4}UtllpS~1O&%N zlD9N(mai8>c9V4mCZh2!Q+9i>Uq`*{i!)Q*=gIxaN4?mUzwMW*JH);IF$n9=lc=2B z6Iye6ojLCMi8WQD&XR^(b9sRIOJBw#S^~r!letkpSMd&9qj{UXHs<84XPO$H_LA>k zr3)!v8?Wph8+#dDJI!0@-4G5wop5)p!MgMqHe(#{9Fu&4{z@aGRqU>)JrB5j?z@BG zCpoR}ucq3qd`Z6d%Wc{@hB2|(V0%y<6+aHH?o#`CQkMDX3jMZ5t=2pxvD|$cq-^hI z$)b&^?d>mgk7OfHPQbaZ?lwfCbdo_M+Txc{4C~OjDTg4^$x_;}v#ci^mjGePJ}%H8 zWNDqHJa!zMJRn4d@>wK#@6BkGY#SvbxcpjZc!e5mkSds7~6GT^Qx8I zTY9sufAl?jRch$%%eC;S`n@f`LU+aJ9r2%_C1OrTlx)|%(EW`=PScaa5~ccE$)7=0 zL?d5&#WmMs?Yw7Aecj$0%gT+(lSRK!4?=TU;I<@tN*R#r|E?C0Y@4`cUFV2FB{QWuhRA;b?e|j%; za0A}ch3B_{7Nt9(trM#ot{h80beE4ks{L+Bf!>pZ^WL+54MqvBJ?s#=8ndf*e!y2u z40I};Cy(~RR(OPqkc3!8VD*H^^}y2!6ymrsQGE>M@+d%If7wVpu2|w>0*q=?Q_4m5 zcV5ho*gJ+zto88c$#OEtSh3Iaf=K@i!Ts${IlJLdim4K_%QRk}gz?7Ky1Oofp=^Ix zy^St_E4TL@+FeIUvNGSZdXYrka{Krz(MV}*iGvGHVntJ%t{Xc_}7pqkMSzdYz! zhy8<_W~{O7Ts?kA{io$q&wpGZ`8;4-ieTMtr@%P14)WZE?B}EC*^EVE*w&Yuo*D@& z3YM^t-(Djvn;d}Y?^9xdwuJ}3DK^Y8_pwN_`2o#wG0$M#MUVp$uM@6NG(Uv{k!9FeZSgc_m4c3T zmd%O-nc9M*UlszBFN9x?6Yq*9mi*KR#Yi2@_CiplvrSWTGfV3VXsmEuEzf{Ka*R%|XFBf#JNV(y z7Q5iOR|}ETph4BN+cF=`FQ&ZfwHq)Cj37o&hw@%a@Cl3I4$8*0H5cM1RV6lvO2v;d zkBf?W?95&N`=bCsk91hyg#=9E!AA(I(_VR46=Hs|iw;Pt&k|A{K8Stl1&JY)+!+e` z#;~0s&Q=qzKs6(1gCE;~u+i2V4}(BI8Rd)Hmhs^pC!U0Pu(HPYl4uGOcbbY>2AX)F>YMahAndDa0 z=vw6Ddg2H6;RJ)vu~y23&K)>9UWW+;y#JFfe%C(?`^9~pc;*f2`03GR`XzorL2NI` zhhH&ol|;zqlU$}Ee%1onby{={*{$()>IX_nQ+uUH-|b&dtTingpw79wGx$$YQ7Vsa z>2DLzhu;I)4)5rw17Yc90E}52ht<2pYf|_6^S3`Thc*WvDe&VqjySi9;(pY^yHvZcUz%)M&OR`P`$vl|gM4-vZP(=_v~?$zxC`=v$U!v$l;+JRs8 z4KwUD@{d}NagmxXx5hCi6f;3h%wNF)T%Zk?INhA}=dd5>G7S{$5GPD|l$o6jbOIv* zr;%$fLA%9LQoNOIrwxjsklBlgaqW~v_&#y*^s#_sNzx69s6|zyS@{`08E~Ag)M( z%3RqjF?~3@Nm5zw?%yT>DY$3rwG@#yvPJTW_vUDkS|-EK_!?xO6XVnLBV6CK7?^+& zwR4{VtcQWSU{}e6_QZoVu0dZn)%DxGsjFhlsm?T%IANZc9CBNhf6dLxrf21#XBWC1 z=|snOI_;P}qChPHgL*T&wxVkaLn{n+jVfp2#0H8|+;&++PpEpOq0?S9urxj*%;&ua zJsHHwX=7Oc>Att^lv(oyWXV^lmv1lpIbPO5Go66ca@Zhlq$+1d?6OP*~)d z7{93P856HG^FD{3Wuh(@+v)m*yl7Di4to4iN}!tlJ{_nt9q}~XkFeL0CJl(4wix|X zegUz`-;akVeCK03A>xBN*twoGlFa3vdl3&-=O`YKpnQnY33%Um95knj^FA#G7c`=< z-uJuDWjYzEbcgm>FK{GwWG>J6L==AhMVIhDkNHFA34Hvg__xIB6^@qWrMxRwtdHv% z!m_j;W_zLnxT%FDl9(|{op)OghXXUkEw1XyKl6#C`zw}8eRal; z>7;Ml@k&RdaCOXp7$-ew==6w0K$p4jXJ0<4bTSof{WqW4VxXA?y9>j>=r`!fgtJ1g zP?@i-p(1|s*DPuECad~_#I5jKlwWw2*v;S-Lr=1M^Lf?U_uuUrWnHEB%`2I2X*E$i zn%fw@BY7!xmqv*lt0@PXvc!H`Gt$7C7iwRbKV>x&f2Fay5Xip?8->PTU$X z)fJbXaC-r?jtD;@itamLSLnvEWSjCl*|P~YauuC%6{C#g%~o@nhm3>KlpZWvL*yb8x=mXK_J>i!GthUWNi!QL6i6S?`^`+d)_OW z=viE-(rC7Ly<(XTt)>o3Jre&QxJ!d@#_igA<#)MGkMAwq+0liV2GQP)qab-YnAjb3 zVmHOWJP}{l(UA2`k~_78T0u-5-8=~UtBZ;Z#ZrEhptU%oh6vnt-UCw0C-mJ|ZD8p8 zQkg6$7KA1Of?#Esz@T$Zf&2u!FHbQZBHdiapDGlTnLAkIvMwOLwCpXM_cn{7)lz_? z+ZunNddJD>#_gU)Zfu-bMi?}KM&dL$Q>o@9Glp;%?CYH^J_p^|hwDsM zt~;&Q&bR%?kgtiZ6TT#le1uk*`#`O0N>@nWg+p^Uq&Z4|4q z^=96ZFFKE&n6NlnUwb&HRE)2Yz+G?#AzQwm3D&NFegg_m-m=CGY|j=Yrd!Gwp|!79 zga2-%L6RYpA7cN2uTdo5A2h1(g&(NXjspp9B&@7%Jx{@pQXm}IqnXQk7YBPn1|+>} z4!p;3$Bm}65(S~fyNyzDah<5m8Hx+7F6_4ASd1>Pcv z^sjpao)?ckmB*wpZQ!Ya1Z=_>}?$d&$wn3#JIFG7{ zbV6CbJ#zNqZ;4utx$$VAw;jv6uC+DCDAM0)paV^Z!%xwH^Mh9tMuT#Wg)Iu;+rJr= zzL3%0czy9aQ;8c>i6~GZ&br+0ol81pc=3l$l{lkQO;Q#`vGp_%xl3mFGi z(BqgoHE}c5H_D@MN5$Tc9Pmm+%Fv`!==#dCG7M*^6Gj>EelOtX0$GdHp5spuFXe#O zt%As?8vH0%@5I{&o*@j^@eqr-L5sq4PqX;@vI90)9b9xGg>hxAn4g_P{wwI*{4)lH zvxZ~MNgbD}8GhbN$5(k6Fu3S)4x(20_C-!4x<{R1Y45zQd_RCT{7`I%JhPd7dXZQ) z@2s?KGdH8E6};lmt8thESZlBz>qx(ke*EK0u3K7J_!sj0X1(s za(#<)$UciGanQ*iI`e^d_O4O@!}$la!=EHCMPp6~{a{Nr(FCOi`>usRK5^Y4L!j3* zv-Prs=Lbn0;VB>(s6ATjYu5{8sYFh1WgAEv|ch9QbvUe7zn0!xm zFLjAxR%`=;N>`7SOp;Ob;qSaiqIKR`7^ihC5s7p_Sw%RFl0}c`4z9gRT&QNDbB}~f zSmzi>+lVKwacv)WQqQBWdng~P?@=i&TiS4S7mETsV8KhKoU_LbBKJuglm;I???6SlHqBN#Aa zbE@gcFkZ1$CP>ADu@eb%q)k^mG^nmO}AEZqx3q+aOPMrhvNg`p5 zQ^Q=|n{|$(>dK(=tzJm+sMAZeY}zcqt|5IfO_Gr{`|_C;snPyzydV@ez>I#mS7o$C z*Oe@ehqReeA>nUq9x1M)A|%8(El9Us->~#)$wnqTMSuLlmhPK4Pfh98T?-boj*}1< z955p<^W9qd@^iR*&)mH2#|x$b)jB|^9jAs5s)HB5kUf1;;o0 zs>b4-xBfHB43ypWMP5R0JW9Uv#q-&X3M&6jmgn7Jr&Lb-GmD?yLPW_J*N$1=4}<=n z@WgL~F5Z-hvG=lQ)VZrxr>%1vOLUEXc?_IKpC2~m=Go4v?Aq#QenNxgv>W)+@G~FA zPsH}&SccO{no%v0!Yz@4L)tO80<=Fgep#1F{4_8Cg=Z~HnQz&EpBxN)kN%s6N zY>(f~tW+=ZAGL?@rs(D?p*B<;#95{B?=@1zRx4A!4&GCNm!soOJm)L^#wdVj>#YW{#^T^&+O z#y*2uNhhZ)*PD^UNb|Mi=s**~cXcz5gPcSw#|{UqRC*RY2|;JNQ%td_)UNkD~__fvlQl{fFDSO zE+C^-m(l+jZ?i?KW%0=MSzNx7Z0o)I$4x z_7t7z6R3}nRl6?@S`e^f{MPDouSSxR``Xfte6_2^?jG;3dF;zG#H0R+_xHCq%REg3 z>se=AH5YzNcx5cD0pjM?1H`o}tTc6+C&B( zLKP_97cU^ZOONJtdeS4K-abz`ZgLdY+(6s&zh5NQ=_G?Zne>T0?rOuN$sXUrldz0Y zi7(MeC%9-a*`1<+=7Ul=GHEDR#&Hz%+tfy<;L0AVoXFoJ=CqZG0E_&yPaVT%zl7DV zrwq@p?&9APWr{xP4Gpha{+?YUSI9xGFmVLVMi>^rg>Gn_J8)7+YnU2NFeP%xZy<%& z)#!)bfY=RSIBGWuW%U{IOlajh_|hh9qua}W1z8t>lIBvokYW@5sWYgB8aPzhwA-%` z@6U#UT0KW(du-IrFfcgIEW8Y?*v6o*Hddj%QzbOC$Ssng+x|@Y5SUH7zC?8B_)#Br zG}){)Q(&7mQy3JVcl$70m-B?_8`#zS?^f$P)?OR587i&V9~o2@zDp_tVE{lI%y}6K ztINkjEZN+=2Jobgm7;pVP@2Djb3ePA%$Q%YSe(#MQovHS*21lBHc&#He?8`e`~*!o zyyl4f9P6Wg@A|mKXAx@c1|3)rkM&kyrckj(g&KZfML8PFzWiC{{*Nf{6sftz`n}M@ zYi+LX454q1XGxmH_a5B=x8M$pS%Q`vQ-bCeo6zm@ZlG+*{-8u8QMFobcU|dB2bjeC zklVBB^C+2qDfxxH@_yp5&GFaZFeOhaD5m6`Q9>r@iUs2xxV`YxRAEOocLYRxCX%vg zQh4z(4OsQW;4-xfm43CcvY57R<>6|LyKnu|HX{N@q54rs@ zl$5j}wWvjdw1jj>r%30bJKxFnob&!acwO61d-*)`8FR#a|3>$&d(F<3hB%fzUj0mq zZaP@RCCKoL0Qx{z^Ebo7^uDb6j5p=+Ci=^Wcw;i=YGj~~dv_^J4?mdAh*)^GkU!6= zFW@5J$pn)5k{sk58Jv(QvFfn-8)VnhAdVZZe&3=_(mK zczJ#HC+xV**KajIQSjWePB&5BZ!X78 z@}p9Z4?vP@rdKT|gZsirzdcDss;HQqq5NE+AI@^BP-O(t>>f0b7LN~Zx^vCv1q`R_ zGvR{x2s8}RWnTasqLj=!;O!XYe+jda+?WNZC@*LD&~NUh3{FKU=47jn&yI9{W6%3f_(MpDkn9^;amg@UGllIOpRlp9~ia5cz_ z|Nop?+n-_h5~WSZ@4RX@ZUlm!ey`NpjO@opaUjbxHqZ$_H=|!+V!nny(H5c`2_Dm# z+C3XCQVm*Jhl09dhhG=nF3MoFGR;cAnvlBE1xbnyxW(R$k3asg8n`!cb;ObEk%rDHTwBkU zYI%LUZ6{SiZ_dn()^>`}8f~v=HX4FXH6Ue1tuG+33S>`Vv0FItUI-Ll*{;R5yH9JzMoL^n;@V zuAx2kfgxC*nMR};SN_9AXowQ{xtSW~YYb8~fYQ6+ZAr0_Hjz%>#ie`*#U|~EYdasc zDw`#wLj95GFCD>q&$Lo(d0zvd zA-BZ+ud!3`A|+3YXn!14P;L_6t4pNKyUji7EY4?x=(*38O&{1c93yLMdp6M=)`t8G z|3-fn12y_fSo~vXK}2l&ZCm=WOC7UK^&$BG7O|AQFxJ{38IrQglV=>c#ejIJ-9N1{ zMpw{%5-Xazj&4i<$;+Fu&RcHaPoMB9h9S7`fAFDojAr4rC99=8Xb@)zeRZ0P)U^YG z8N`n|jh*T*0mET41{08-`guM*vNZo#snq``E^|5`EZ9D*TyuDKe9P8eefyy6>izub z)?{IXP~L}~Vb#cin6j!=kAQciwMc6X zQRRWj?EK9=L2IXrs!K?~wXYiC7om=|Hta+iPphJyn*9GBUd;_)Oe7fSV)%1rM&%{#(5H z%ldO1F}8f<=dtV*51SP_rP;3g8CwEMMK>{G$`3;}M!j1jk$G7fuXMtZyI^ z`k(DFM8}34@jSLYKDc@!0x|>JgKAF^pvRfXP(km-z{_3@ z`xkDk)oOM9ep`*=Fe>0WKl8eWo8a;SjMpY{to!L32y`|ta(vg`{h*Bj7_}g|jSvY$ z7h5J&5A=|485O`Ur|dDBToiM2yk^X#`&+*Jcnw;BLV=WVMy4`hWXwvZML>a zI6(Jxo&JibCs9rAy+ldT$hUTwG|)$d&Y=9eLZ^R_1!zvbCiZW<&cUmf>Hj?J8G_dg z{LVkiZjj#L{HF3kn-&@Z9E1wc?X(NQOn*zX(FteEpY$jv(uBMkGqtH5H~0|h4*#U1 zZt>2`A?#Gc-N$v2yjQC#nYBX4rtow6uPw+)DTlTpQp`+%+%E?y^NYM#OL{eEe+Xo0 zE=!%tpHf5H>xa{oBG+HFdze#I@z+EC$Mzq4loi5g#{&?&=t2yQx95WOrY^%-n-e(l zVFkSThLa2%pD6t^mit+ghFVT6jvoA&ENON9Q%P#aSKCkww=WSS0Pg6Af9*da zCCJly%y%tPE--oXC-T^TDpW+O$dWpFsQ4B&wBmdL#(Y~;$qHQ}q;8@ZtWB?|>4$VM z4MG@hIG^bBGn%8`f~>=cMP$;JA!YsY-OnjT3_#+>FP(8F*9fRQvB=iw?l9FA5z1V0h6k>m7rwD zMW$gY;sBUqO#x#=jNBflR~0lT8|yJ*-sJKJJBk*7>_R$%;Ns0+%hV?I3>1RLX1jsm z52z=IG!eBQn{+$k`D7w~8^6_URgqM$Hbo6ByAt^OyF3qEfO#N&sjid`h%#1lxKC&P z*)M*7IsDJ9dR4WISUY}s?^H$q@C?k}A8%dbTFEeO-gZKAKJSZ?yKLB7?bol0Bq8fl z=t)Pwjo$>Tpmx7Et!Y7CA^Gp;5>={WVv4L*w-zd(qNCsyCe%~M!u=I99ZLisN|ZwE zeM(WA4hy+MzSWj)5P)KlP#neR;$k!kDO8hX^XTIS&K4%iF$A=as~h6Q$<*_|eb-FT zeLn3oDV6=t$AZtox8M$c_xB`8;E!;;AoOhSl2PzoufuFGC{=7-PsE4YaT?0UgKmup zspV_afee-aFXWqf|CgrF@i*&MSKz*4HjT&f?;xSJ)e~>k(Kj73qz6Bg&G`+j;V3fZ z$9W9AQLbE?y#zIA8J#4P^4);nFSgQEES37*BDfJKs4+)7-gF_saX>F}0P--8V`p1o z>=!v;vGJljFhoUH68M*F$^E>$zwW=(^8ab3slncx^ConvEGrNmTdl!DQ}1CZlgD8fsfZ-FZ?zG{VBzF=xS+cl66EaQD<3)KPI6{YvRgS8zF&xy4V_IvMeaiVoTI7W%IensGRNgg@|}zq-D#jGG92dIc2!Qh+>s zx0{7F&p{>%I}xK(d)@jyfo@zRzU&T&6J#I#LLBfzmc&%2vQ9<~(w_V>%qOF)4VD?) z^_OwQL7!tC7~$AHS8EPm%RQevESC?UIO=eDp@&2<|K>uWSs4^von?cxi&5z`MmXIY zSgupbHcJ+uc+*4DOR?enlMO~2($FZ{adl(5uk(}2R%KVNR>w=)$`Av2}91?3z_BPPWBiX<#F7>|L1056+cf`8R;z#=g%Cu0Uq6gc{YACUjxm zcsZ(JH$rq{AIc`br@&^x&Y`y_B2YkPd((X3~p7XkI_Z~T~ zWy*_zSB9ukR?0x38wrOfxe7jPOmVWww5Wtgl(;?W*H9`97``txEOi(F0|O_M7*56% z&j^~TG?w1~5**n7YiVBV4DpR1j=IH>jQ@Ivq)G(Rn3617#7BUK=+e_Clr)G0m>A@u zDe7a{iTD{bXH>lnB}UP3#Oc5XISb-6JxsVUFM9gcd%YE044ZEqE>>~a00o#OHGsMQu_eTpAhg1Um|h zS#k&G@HEf&;wH{njxePU!1S&Yjk~aEt^tL=J^^A@2$+3EI}Y2$S;!B-M^(*03Ps0! zQu#>S(p`luIW6q&y!~lulL>O>?FIUaE%GW&^Ry?v&Cci|Etl0}q&q|-**&`Av#5n| z5})X~6!r{`UQ7IG#mctHz3dg&iHa8?_COQ!@%d~VAB zE>lbCe=cpmiKaF{Sim-Tw>JGS{7>|M{UgpaV)wBi*dTcLjP`@ENY^b%XNwfXPRjvo zTP5e)H@k-@c-8ganKs0_^V?ba85nBf^e8ZNfLrey9b^&tvD#3nvx2^_6iFauk?+*$ z%AW_Pa{WTVV0Ib3BR_U>Tf!+C-XioEgu%lG}M zRoETq*t0g7Khyd?u4ZH1Dk|-- zMv7t5+J*x!k=~iNqRNd9&nwkM8{ZEgzW}HLFsdnAy;6rNvh?0pYmc$NqBz{0)*T-> zrOz7jVY|E1{uv~pF6ptLFQ2!L@lXo+2E4%a0f$HV>1bIx+J=vY$Uv9-g*oeX&>b1i zfZ^Q-v{^~zI`^X;&>&XQ%S{93Pi&dabZ*G+oMhct9*oei#Q*RW5@Tb!;$)v@`R)R% z)?V#BixWE*(4c+YID5L*i;Q=HEng5`mW_XHiCIir;xne#c%j!U)Ml(v4!+Q*w&p?i z3J0UI$}&!0Fq9Yr$ zxi}Hoj)Ky-b%E(a%%KOt_HWx7WFYopA%laMasy~;H0JHYk8J3S;yTIl^pe+ z3n6J#bTII#Zd`NIPyl0L)ehOagYyG?4chhn{0Ne0Y6nD@p=_kK?a|BaGf?dZf)pi_ zNVEEo0X*m1HCkt4JD((Y-K;DB?wp-Iu)bRWAQ~1rr~C`!NQ8|7LJkYvUzj3A-Hny2 z9(g4z-M#>K-ed2J21>>kP@Ky|zZ^1ux6rOW~pUjoovugw^)f^yTGP;tD2Na+py zT321?e2nwn&WQUGkhLx!QZG5SFOTG$+PjP`Afd!eERStTmxvbASC4DAe%Hwmu{<$g zs_e%hU=&3YnE&*M4fZfU(R?*vW>8@sNnva&+=fV*Y7hJh@TgnCI9z>_d~fUCi5O=Su9_cD#W+n)BTm?PWTXQ65G>_&92(Z0xDh(x7e z)a>z)G-8KN47_Na%Bls%F5`Z)Z>w*LV-$<1=2+!CbQL7FYh!-c(VEPXn)90>DD)$~ zDlaOBd&mlQ>dltCNUUg~j6bsaE>K4!T#0=79JF|Z;Jl$W8@Tym(Gv=8W^2DO5&wVojqdC7CDy$ zD5+H|za^G3vmlB(nid($+RAt@FrcQj+v>oGvd!{NsGps*Nc5XR%VqkeaU!7Dp4h{W z8z4uJThl!Xe`wd!5p5PlRBTey&J(vy;pjOvTV`Qo5w_i@@GjY*UgOiJC-E`V_# zTrj!s{j_z|pi?_*L?;+DHx4C=s&`FsB#(oCiaPUklf0;j&YP*zgm<*gEzfog;Znk{s=y$g|;St_Qi|o&XS59pAYT|b; zFJ!1N{iFogkcmxPDVS=0_|F7bq?})Zx_3OaYd?%ka>nvBTFS;Z_ZGWYcyBx!_>_!H z(e!iVd^IHc-X1kp-dj)|@Dzz|qBIx9_iZwR*E=xDTVC9BQ^f*Y3-jXpa#Uq|*QCo| z<_s1oFA(~U+BpClHZ#sJxVNEH$dN}b7M2`%GpUiSVd2O9LyDzrcZQ%7tS5MKf35jk zby&~u-IWVH(mkjYKR-WdpL!izy4h^@_(%2|q5+|d&MuEu^O6|F*%CfA9<`<9fcKl) z-_*IrmpxY!Fx*trd!1qFE(o@V(`lP-H?}KFDRm86)>bcrS2%6Pk!5ZvihLi2`biDG zY-Z2an?}{Q{3L-eA96#}0o{N#qMO$U2b?RN zf2QxHdVIW&;)XO3UegjPVCxyywRLK|lles9Ua>rxyW2>46FvXZd(a{a$Oz(f{2nt6m2Km}0*6 z4w{#B`U0zRDz^D*@(^WPCIL(NPVGeQD&*$~MI>M)KhT}668++@0ync*-O$iBX6a(Y zn}s}|r@Xsek)3a3r?498Y9{qBOobMM=*#z>U##~EI?aO-7MA#Z&BOdYet$3lIAeqB z?KfUq<0$71Nhd5``bU@em%}aM2JSh_lc)1XLTTLgXKh{bNKza?U(#6n=&Gp5=i`%d zQ%OdvyBD&0!y6bx&A&jvd+q3A=P^#vI<5}=nDU}&TK6-NCg>x}YF*zV9#=XSJqUZ@ zsBBe|9x}@Nk@I=OlTj{W|Ktz9I!cBlwj6vAQhLlanCO@74h_}X?KK}cLI$oLV^YBp zCx3Ieg*Tt(pV}u#o5_aGkM&yk5uWxfW~WTrLbB zOVsQuKZ(;jd1{VP-QxZDaDj!>W@dsRfd!nIX1yk~b0Jc(UMq(NU8?`Pgb6$Z=6KDz zAL=C$vmQsW2C_AfY7c!|p46}3o8|RcV~2?H>*${Z)*o5H5`dpf6-v{LR5g18I|Uq1 zNqg;{I#}l`Z{`&{=u|}1-8KMJZaInj~PL5)wb^k5BowBZ6!f9ehADJ zwY$B6KpD^D=kGV$*J=D}dYUL1BjUr{a!eP3d24FLz27x?m6`HIMX`GPPTd9Rf+mrj z&)EUYyS3TlGg9{wS;pYhEn?*5ReX!-Om!g*3}7t*_MjiwvbpP=ux*oG1mzkh@Zwiz z{LiaaMQt)iZA&shDf!-a>Ozdw=y;~4Nj1L(hOy1%7WE)C@Q=Lw#i}s>8^$^pE);_x z5;2RO!V5i8(mKx(MVMr1?WLQi^a{@u5In3c}RRX`2IiWpgy$EeH)|~@iJN`jxpf{ z?YPJwj+|+kdGRpS%?kHz5T0Usf+B7?hmWv;C1@>FP2j7D!LwK|_{T$m=Sb|E=KEar zM-$uSO=Dvu)QkYq%0YHZp^#d$C}a+0&gju3!tH;!dl2u}P$MDZ^%n8YyfV=;Zkp%j zN__t1lYL8N?yo>c^E8Dh>hWvw13T{QiGNb9nPAWMF!Y-N4amH3Bl?;#@79_^`&aVv zxxD6bSniF=GZ3)JXXrG|z~UQ__Nw&aC^}1i)F=}sq!wLXhZdaO{fY4Ww8;Ku)3L?J zi-@Yl=jomI&~wUZ!rGlywqK=SrR$uE5n1t~#rDnT$+C|NgCO~Yw#V#yRO@&eh6r9? zw|&Qqrh;v?nXNl<_gWm7N(v^W{d}9Oo{dH>o-Pd;f%?ig+xr3@Faa^=ys0XbxiZK% z{~HihN0@6)V=W%PekX*ep6+H({WyfDhwXzxsaJmrLkc@T3qG%XCxsz8vwSI4rTf1x zo77#N7x$;@ZQL@Vd5V`7=mXz5XF#Ea#_J@J9moNy zK1P%}O|;Ua{slV~$fb>#m2ZdgfKbZOrmS09@3SKYdWYrr9!+PKPOSEh05J%`@g}dc zp5dZNHS%+f5cRk0tLsd)$T|6MINui>j6qEb8fq|NBxYKhW{uBp)(1f9 zE2B2UI9*^6owet_Wq7=*jWT(RMuZ%6b0vHiUJkGw!gBsiX~H^B2i zPp|C#w5lHvK-7bwOiJUvNeLv@*Nk0a-<`{1S1K1sv9T!wS<#qTy-U55@+{o;-U`*7 zPvOkM+2stcq%cH0KasXDa6DW2t4g$#a+yLI?c_<7O{#{rS4K^#ikplA0y=sa&3o$U;=Wuu8AV^!o3d-lz|;G#g6` zvs;3#E?5zvi4p%BI_YnTTTq*mT1F2}=l-nY-M|5SX0Yjz8gWKSDRKu3+Y}%TFJ-@T z9rn1jd`W{dpC-4mKlgL24eTF9mCW@>AfbL7F@;=|{~hlZ45Q9;#{v|ZEg@_I?14Y! zuQIn6_3USdP$njxz=gi6%)ED7ICaw^MEd=qCGF!H1Twn%UgC}Fpo?D|A@%7PMarrw z6f&+x21CGEd8JFqD*|zx-2{t{sMC-s)nL-4>Q$c1k$0CzPk0dF%Q~*IRS3gB1$b3g zLMf($%2iSk3E*lK5qkVnJJX60tf8?GJ^Yw zmM!L;JPo^!AxlOq$@cb`AMBT!-`6|~fj+E{LvJ=Li>9EGNu{Wd7WuQ(Bg1?bV2DqA z=;;N{|NA}iV>F&V`vf*ecg5mb)HV0t=Ms#WY>zOx|wW?(^q|x#IVK z?*Chpt}2rxdWD>L@JznD;YGCeVy8P9W=m$W8;(L!xz&8>joPheT*6eG&S)`>p}v8p zk8ZTaxu%RMmS9c(t9~C~jehp9afICxq8weLVhI^h>cqnPCT!HN{5Vr2xi}2*{Zt@9 zC;i-x@^Cv*T0FnAI(8FF*mLxy?HrehMf$S}PhIU0q`rkp8H>G%t+B~>pb-cFzlYjm zA25q^&55Dp)`k!cir3_DHclH&Bx4J|)!#XCPnH&lCx%tQ1!NtptkVh1$^V+KHb6-3 z)QC`Vt2vVGG8u`!eH3Qktzzkyo7ngo1;qLK29^w-T!=UVfdhF1e^GtX!;fBGML#z|og!{$-eQb6;`!C4lGzirh zEq9eSENlKlCq1scGhSSdX*ox}R90jXRqpkVtasF~DM9W>6;p1AyMRwOvN5PBrZuo@ zo{Fv+uPly5dIku6Z*!$Z^bnd7ZHB8B?;%z7$YS_OcyTrV?$^@Q=A1`;S z96dP_i!AX!?zxdJG}@4hH2X?pV9o^9k^PwR!U8MCdMT|euZoVME7V1}v$wM6ppvWh zRwGB16v5x9RFPwhQs;joMCbhG7aeIf#;I>B1z1X94V^=L98jja3aY!k)tixZ1SMvo zsHi(@82l06_md*XSU55GKIP)pk;;%i3>r5@d7bUPzuruK>2uJHW$VdP|8k)+c?wK_ zCbkWQ5YE6aQMHbR$3E6?fCBWgOYA*WM|0H9;;KSxzWBdK{+&9+(002o)dlX;Q@FF> zN~fn!cqRSrgW)tnYT;UCq-^HH0vf0uCNpG%h{)k6qR!PemY7=KLkt1<6yy@mInCOM zG{#WvoNq(pnq$ar#IBwL(Dd)=VpWQ=np!-M(Dre;$929s2aI^2O$>RZ|2F79wfUO& z`|FE~r?#GXH$<@=eq|JI*GwKXf+|27IR>oV0~7cv1Afcl2*0xGpcHK-wP>wJ;3EyA zWbd{HG$7b#Kc!rZUYK@aLUJBMZR_Dckp9wkt@t&q`vzt7qTsFtN=ht3VtK8Ar=7n9IM6 z=L*uzl$XRkyG?oZ<@tRu>sPM7D zLa5yl?}eX_IHSLT90D&t-O8O)di$}n*&BVhGLpk5#sHQO3`{)0VjwOgw;a#MQnni- z2mRI#TeQ$P6Ahw5(O!ftv?dz`(4AS-jv0`}2MRClL|nCjh>td(j<_^6Z9 z7)~%3?Cb6y9#nL`x^xRyZPFI8sFzzL0%=8jAuh}}sSa^pGIlF#3uh{)HLd6*F2P~!z-LAIIEae4`Bu2}3zrnVX5*^ra zB_^A+2J|IjKECrnVx~-&I5jyJxxmxSFa?fJ!wTZ8Jpkmkl zY_xBJe^JiWfaN+SfC}&i(`A;^-f=-)>xH(_s&9E`b8MbuQpqpU zIUBtCw%9vv5J{@FXgTc}3fNR3=`gkQO7eL!drnZ~PkFu^CE_4yB~KTHszvG(X~yRr zWj2D^x8wm2YlxBYl5obQr6UtQlIXZJcn3-d{@MBnjw|{S%r4kx3xOfy zazWRZVS97jVfRYmLY=NySbG|B-|*FiuVeXY_WY9ea|grgoW^1LhWr3d!|S z?8Ny^!BLw8OxB21>^nIiz7yeoDq`nYCNJbM#*q>sy<5mQUQY~wJ&(_TBpaU@(ylKvX{L;MK(xv=avelPQf zzBcqM?&|-$GAj~2_md*R*~3(6)~%pHcN}$EK9z(T%Kg;cTETd+rNN&yt^CjJnKHIB zPrI=iG@jI-m4HbUVpud1Ws<3g1QcW=OV1#Uq9jCYtOXHc7gYJhM>13zl+fucXzaLhsg+i?t?L2LPbRqPY)dh4MB4{osd5?Xd2nY6@jZY?d;})#7By z5>)QKyG*S0+`8(jmN27>^C-a~SFnO9>dw=RG=w}Vk}fn3exLP&MXyf>{#J+Ut>OV(ZNAAoV*fx3dbS$ebFZ>1yZ z7Cpso^QoStMMfWm&&vYyq{lVQ!>qXQtI__GJC2 zQ61viBb>wOVB*8$udR(SQS=-$OtM+i!u8#(L!JU7BT9ja&^n45R zM{cL1Gfp>95bYjUH&OO2E&d|Z$8sU0lmvRR8P>G|1UyP-GmbLJq%z^gb}VC_@B8W7 z3$yIqZY=()@}43yyvqPnED>Uu8ga7qNrVd+UZw3nLksWcEf*rLwo$^on=OiPbbt2N zY>n%S(O0*%Z*va0s%{O=yg~OzUMDkZiL5sAnUxBA_TX7}h|SWHHouj2q5IgW+tz2& z9~?dPy!64VE=RA%x<+JaLqLst5a5}|+$CHgV058dS&s9DO$bH8=CL}f{UYxdF6+Db z)JXn2aqJT^A#}a@o=ookLf^ZRZZ0`2Or+5IN6UXd9Bk`z8~y(C=tr+@DY68*D8Z_R z9BZ(+3Q1q}yOM8AZ<}{l&7lQg$qth!GpFc^RWMh67|@_-|A*qEwe+-vAVV^ihu(ta zB0UFI{mDR_cf$S@f17q#xvUB-5P_mckm|i5=5p3qZ=?)4RjfyA+^@UD5*gaYsmqzq z#V&&2@78{~$GTwHl!0O$GolB0pj0i&)j#?s#G#30nbqlC-xZ9Mvw< zTA;n_p3hF;F{2+{6_%}uS$tn#bouanwz8#w z7a+3u`>bu?l7$3=BomW!xlTuM_q<)6gq}{1CUra$s&ObMpyy&zsY?K zNSPr}up)x`Qx9R3fjRk~kPX+;z+~;qw^Yvf^svSYLSpWE@)-l9L8R_!$p;kc!KyNo z+!mCQ-_bV1#lJBn-^IFqu0T1uxM0NVyN=ek0xy)l_)E*}5Ag}V^d=; z;xJ-*GzTlriOyxhu_8{bM(((EFY(b&FH#Gi_urAltjbP}f`K&{^=rpo#Ysx3 zhNG;*b{bnlB4ew+0AaA@=f2Y~p3h{_AMBU&NF?IWfa$qINT=_vLDhPd56=aNbn(@1 z<*gI(EI;rE$Tbv;=+ONPxYT6@+x0S!E+!X&N{0r9+))^stWD>tTw)O(M1(tRg7iJSz}U~;=)#RqrOpjDLzXXfra=?kWLQ}6fOfM z_kxv2X0A=(IA1RvjEIPqhey7g)P9>@0^N`h}!2n+VrMsG(~HhWuPj3!-d+ z$t-hK6xlgzfHZNzSKTjOhSgD8hMc4G=yL4sfcoOtEk@bkK>28BPyyJd7o%*H^Avo>1OWYD$_`0vTyZPxoiaXM`B8jIjYKSX}02N6-Wb$)m6#8Ew;uERN z*|8Nh>PM#MR4tZ0_W3hT zChI^C2^&CR4U)P!DP)=c7M;?YST?{GwM_n@4B))~P5HlDj9;*AwJtb|rT*A-8?;yA zPvty_6p37}$RuwYqRN2HUi80knBp|E>EYH|Is+Dga(7mKHE4kVP%Sx^r%0sVA!$-2 zSz7Uw(~8YcH-4hxQ41g@C+v7=Fc!i2`a#a{YF7F|UJCIyM((4WPdW!bv~vp_zd`{A z7gR-wld{}irTLFSCJVYbQi{F>lYwTb;R4!rkN2VM=Xst<1_5AH!n@ni7V(W#yOXyL z{;$L^brjR5t9;F@X1MDG0k%2X#z8lrub)VrLblq~y%&vvaS5mm$4#nPAK^HQDmg`?%Sg+6Lf<)#!^isA4o0Ln6$9Oc^_-Iz@WNOrx2E9g$?{Ku7 zPyP7an#jSb%>XG$vx=`_>p3;}Obv7U_33v`M6-su94}m=iHYc$S=iQG=L#c|6CQv7 zFG|W~V#-i((=DSW^>Id5r@RqN*`xR5q>+{`BvJc3u8W3JwJG~1Fp_#Rd{gqW8ouuf zz;Y=jl|g>Qh0SZ?Em}WsOV0%ntmBNzKc$cDNjYC0jjgZl^Z1nq0Oon&ReODFvVA5$ zOHmW+0;Y3`iT;WU15VUtF^w82EQ`VLF%&%-wO!F;Q9y98gX95ZKYLkVznS>BHP>q2 z-6^fSbbpUSFugk6ag6y3PtzTupy4MI#jTAiwr$XQ*16l(qk86X=SXrX;jMjA4H<5| zB9aUS-6C-Ij9OULz@=iyo54ZEW3~d6l%_#MS1-n5+*x<_s;XK+u)fjZ8RGw={(d}2 zn+B2T``J^Mw8Q$D1?L03CRRwUxFxM6_Wxv+?~$Y?ssf*KK0*mzYXhsGUY@$9|8*0A zHQeF$h}^{m`3#P>4fuWn-qGL1tU1SS$VH8%{fG z5-&Q%SF3<$>Ndro@=b7Uvvh}^IzGgVAlzEo5xd`5G{v04Up{N0i@*X(38MSXrLV^e zWnc<>2Xg{R_1!FSD$-$0Mf-8%cj?*|WH9s(ji4Vb-y(ivY;k1?l@6_>(#|@GqF{%R zY&pmfQbS&Gm{3^@!mE;J1@to^E3g|dFB@dPuJL3|OhFo11O$rL+gLGeH<3(gMkqX! zuVt)wjA&F!EYbN@B^uAq@$RJn+obxg@96*7`_w+c$Y@aViTp$wEKD)9xa~{cZtlbG zfA_-wQI&*dkRsum2Xd-UO#GEdS371WB!kzURPFg|rP*xJf1mmyX-00Z+Mw%`my;CkUNVBW(+A* zOU+ZyrXNoFHy<>KBwVr zcTUCmlnU*&JqMo4d(7UgPixgc-d`)zZZAgIGx&Q*N+*mk6u ztao;|K|Nh(B{R0R(fN$ksm^KJaVqLkvyv>ZSw`!dkXga;zGLjuGP!X@=PWeMPVEz3 z3#YoNkCv%P)lK?fFCR_T+st|EXo~L>Z(W?boVdqMHHcr9{N4c~woHx8p(RJT^ecQK zVNlRjo5ld`l4vO!0rBGa+Z#*&n#LoZ-j--NF|y(S&@nmuJ<`5GZ^8%M@R3CvoN|>r zG#gu@=hEf|Q!GyvxZNQfHYzMzE*8oVjZNlwX|Ou7ug9UpF*B zEF?&EnF)C?(7^%GD{#{pWeQ2XD6BzzXXsM2oYbt}aI|pZVN%0{YiPT>U?8VkuL1kp*EPsOOsf@>H^@C|6u!|D808-?X);Hd$j!r zsnL?QED1!~iT1M$~kT6YOg@(XH8laRO7s?G_iPdxl4j;lH?C!_JBwz`Mk8t0Qf_8YS z*MXWTtRe-MBqUJpH&|EP%`mW63pS7~<6HH?q=f+L6bT+&nJ_ISA2ItF2W6zQ^N+PW z<-5{dYa)?ECQ*#D#WPLf2S@d}hNb%_TiHI`Z*=~!i|cP*3Dyhvr5OR3-$8(gf^-5Z zn+SX0(DgV(-^Ey}Fa>$-wuH1gfIp5icTzk*YtN;YjtO{Gk2pJ&->KQ46GwPNZe-l) zyh$q`E5L}c9<0L7^*fwp>l{V%x!AxGJ~_glYodF>k|Od0egRHSwoNw>@4gJIS71cI zc}ibir-RA=Q?`mtqZU(0{k0H(Pz#}X(#DC&i;Q+}u@gx^EXRySKn!0~!5X{5NU!;; zTcvXbF78J>#*PE~o?I}FSm0m&zc*@YiqOUpU3tx6d=lt+bAaysmkHYE^A2#xXgv^J zF=QgDEpaSMtMozlIa|28+i_4K-2Y?z9~}4C7JXR|rJIT{|0XD}LswuCXz~-s9y#g$ zIyia2T_cSdz|^qX^@aaoP8zgeN?xwv?VWL&wgpnF>t063VEZX2{*GV`z26WR11>Z> zBEv|px+B)r1|d$Zwtqf1PJKwp13MeC7PhAjyWZCx&K1>ciCI^VDXo@zaYHOl=hqq8 zA&)MPgS3d29G{zOiZ>yiokqWRo{*=@TjtyJlGjDB73Grty?*+X5S-c(>GTVNFD}N! zy9(FS58G_JzR6-WnJa7M;zVq|b8I@5UlXr3%$3J8kb%AchXDUUjkD0wk%)Ye#vkU!>e9 zA7~RRttYx=%m=dJB-3g4J*dAbcdz|*cqDTQ=Nr}0p_1`dV;DwxL!`OA$Dn%+BJ59j z@cv|?aNl>q)FQK+z!b0ujoKKq_|V*XY;^8jY+DyxkgxGo66;Ew!E*Rb6Kw_9Dm+yS zUNLrR%#_Cfz;)8J2u25nYUBP>UwZ-`gSuO0@vfk%>!oLuz(b0?OY>Hv#h$cuQLu2d zEmU@5{X+y`VK*N6Q|g{fB%IHr2JinQK3M{Tx=$TYVlZk~8{SR`$}^)@Hyf)&e*T3k zhOh=Y0rn+MZPx6lqZNbK&LtNIQh~3%VCg`kW)UFTFbUoC!T!FiX;lY)xB73?XuM#8 zY4?Z6FE)83A^|k-s1`(mK;*mslo~Rl6RuN?J21jTlTq3lkoo7tzGVg5w2x|87=2h4 zH3bvFAIJ|1zXZ?va!p0ebdW&!ADyY8J3SNvnr*}VpEnO zOubhj>>f!4j1cuZ0;m-7S*1W^w5zM`$`b(>_^%OPJg(e4EjhD9wF)-JTa?8%*m9D1U8*G-yMaDNZ_=c4shWAy%&!4bj zCu|_afJhd{7}UB%gRO^4)g#*zucqkk20Q<9S$!o8fu6+J5vI6K;0ML1HOVKE3Fd_B zKJ382ZLboJPA`pJT6h;rNBLAiV*H;!)&{PL$y^=Z)R$M^=DF5)&x`B2`ak@9HOplp znC2db%=5aM;Mobm$uhkW7`kVrjt|m@dZHgyBTLL7VF2GpcZ-O9Y>lP>mH_+e!cr64My$3y=mwQG zJ2$Qj_8my6Yp)RM$f-TkH+~7D08XE-6m6sm6~6pu8mjov0-O9o-JQ>2A_mDo6YiL7 zU4hyx85lht2x;nG3j+hsmkA9?o8NJ4ZZ0yGDv9*xt&p*<$e({cP;>`WkOWjHr zN_iQZP4^Dr4VJS6SjR(wC)R9^b zG*Du`qpfy@saSPc4|Y6jSQ=Re41YKu%jdX>C;E2zCNe5N6MxTwT(y80($Eh>>=I!ZR{F$_tnWdzyEy5@NA9mP{7R?27~ zj~k(KSpM$&n_i9hv!nxENOm+sNo`v2d?Hh6KZHR8{sh{+UZtb;az^tlWJD#uMrHig zi#A#&&ZS$vE5%&N3?zR^zOGMO+`Whleq5B%O{o;|b_9ty8!4t`Erae^0a#W9?#Q{H zVvvgFp~|vX%)+>N)@I&dtiD`&d?00%7hV4;A7>m;P`IUczY;q$!F4Vm64zWn@4eR%-xDAmprUdTqz|&DFFjqhO2S#hHg|bH8D4B8{nP#XiVnl=W-@w) z5@T0*^82UCrv9YI$PS8M`@hziTN$AQb(JgzstE(F4E9aX@~P|xX2&nkAJ~wkJ*Sd^ z1$Lkc{ywM0d_o|%mIJ*icyqCrZy6FDv6xeeB=#m{m9(IS$En`TNm|Y0M;^{>X!rkk zVLUs*M22R=XI&)v8h%UNNZdRK0A>@Ccvn5dhNJ_Pc+*(Sl_XnFKridsDjme5E}R~_ z)*DLf8^Sp|-zh|$;xv`Z`w}DQ4^(ISIN6VH{T-^4{*4)D`gpA7bZHtq> zrQ0`UVk_Jsvm$-!Zs1$)@}xuZJJ*bOj&1R(MpI~bbg@EJF<$&8C7IF1bMo+rP$1Jx z+s*q@)WPUCM>4zpC|K}=co_fZ*myj4;Tc3TEl+kWZhL{fhMI zi-6zX(;0U7*1JiKic=omwZzSDuBy)dPGaC6OQE{S7{G#phn7decb|@PVgG#Xi=3fi za8J=Wn2kN}9G|0jp{S!G_inrLY7&@FJRuxotBFLYJjb3C4{-&QuIATamDo@*fyzb) zWIX#bd-GOP7%l9>aAUovkVuTD99)urL79-ka`iojNn(?x5g)xNe&rXaD0b0dOT>p? zG1}}DTAkOphPFRdbyrIBkR@&|#@=QCtqsG#7>cjNG~%XvH}FX|EJ3NrbEQ+%-t~CD zU-xSw5aD=R>nhBNR)w89cpIPr8&!?KbuJqy>|Rm0CoE3!xRTu%Jzf4}i+D%N*%?kt~pMqnMQ zhLvE>)tk8oXk&vNT)!#-an&(8RU?zM^jsM9Xx)Ldrjbw?qI@ZLQmp7aygA8&`8@$k zjF<`RZF9Fbn6noqV)%2oST=B0T!Wnmm_NS1)xC>XiM7t6`Y?CLt3Y>;l1hkMU9Ujx zH872ZVlEuS>mF3ZkGZ^td|Gbj#EhmXN1XuM%#=y!g6)6;S8Am7PgvCxeJY`ic1F{m z!?yHJ{~t?N9Tepotrrnc2?YhDLr`g0xy1Rc!OLrrkOSgbXNi7{qBe8Th zEZom~??21{Gt98>_nr5g=RCpi7j&Mhl=7Q{TU~>AXzG%opMmB4bTm-bJOFgYQcb&w z^>cT>>=Smy@1r4PsX;~$BvZYa)lP4%w|uZ!5w??5rRG*=WR+A4I4C@v0SkRqo8tR( zf?<`9p_b{YcakRpMXWDoz3~8xBI2?i0X`sFf2D>7lWfw&i|3<3c5=s%&XxB6m3{O% zEYywXCDFe#)651SKiLf6?eD|~t*ZY3D^%P*tsqRl`!J#U$7ffd^I&gS6%r7JJ{BZG zQEubsS96-T|01@+XX$mRQO>RX9^X^pT+JQserp!||2Ow*Xm<+D6&!g~wxp!`M0LyC ztVwkMB&2U0(YUTuF$s?I6dr=#5aR;^z}aPvK;PFS`#Hm_#V-|8d^?SqDm!A!|H|Ti zAf}oOEMI9PfV8{PD{39Ep)exW$)CJ(t>ICsSd}h_ibwCaNO}>Q{v?*R?jv9^lfW5y z2-9#cAN7T`_P%LokffLReV4TI+3%`aKuC8J#ucrCsOzND z3tFmx5^VQE9mCJ@A?HGe*e$E96Z(Sy1>#ckrq{HTP(BKM>@(61XEma8yT6TXw=1b? zKeYV2;b&A+nVY#B$L??6(j4tFP$^)^;!~k}eN*1@o;l>}pqL`x0W6pOtxn6O;7CL1 zj4AU6-y^~-yKCXrH_d_osYX2am6JQx<{8Way8;=i#%KDvBm~v^hJ22~L<&djo^pgh z1mrxrE}mg%y8fa{onw;1MP{vuG+?n)f|As~Yy8sLTOetW)AhanyTZDV`nAn%@jI)9 zSg?0Kc`5Cz@I{SXDG0c;m^Y6i!gl}9{i#7XCf=G4SDcOKQKAsz)4#;2^9~IlQr`aF zy&&gj+y0#m1i+fwwTX$j?0f}iHD2rsWHvH03gGKnma-UH5ni^HEvHdkw%K46FC1Jy zt!PI@V!Q=t`DMufBXHeJJ#Hf$8)~JSO_+6xqI7%41tij?DhQIbmBrS=2f)oO@g&rj z(_j8RiGzug((0CG=l&eivuqP|RkjCw_X4)Gd`33p`}K>I{e0HoO@H9q_W}ntu#h54KFcU7Hoivm4scLX5|lD*FC(f15Nl~^{0oaoWw!~D zSx`ZLRTI46lEC`C>@1?^SiQ2g{EFJ8ft3BxgNP}G7H=Bs?+W_AEl6Z3OZBcc+G#EU zt)7cKmdHsN+P`rQP!|2jQfD@kCbP`^{_MxGa#O!!cLY#6Fj_l`FVitBC8QqgPvE$z*_q-Q zoi}&bF|ZCV0snuastt?{526{Ig&2knJ?(GW%c*{Jwqxp)^gnQ*dpl1vFhVt!01EJ6tVf$wgplh8Psp#} zSf!MCq3;lOlg~dz8zw$MU0kg!xf9q68l4KG**-7%>dAHPq4~eH>Q6o_T(w;pEw)fL& zZT{u@wXC*(QM}N1#8DO_v~|1ike!(6lK{Ga5TI6E-jEP;TvNm)McXqm6iQE`g!FFt zZ-mDL-_!oonpTcM+io~+=Eix^nejzEfG%k-c79%lP~8sFxg0+K=&z8oSX-&BGaf!= z9VCPt|;7JqQ0*5n4#xWYzjL^eHF&$cK2b8ROooYY2-Ib^`Wr+U_Qk{#LV zxF}2I0>ihloeK5P zt?^s;8Gl)<7=sX8c`GQoTC7G5pOphioR3Au&XE(q^=;DT@Nm8SZPS_YV#GoiGk13K zdHLqjcc^%Z3DXB_jIc8@YuC7sqD|&v&r}%8K={k|?jHrI0Ed=LM$KJr^n!RI6@XAn ziM>9~3`8_ovY*6hz#spVyM8DkJ)Wv%uM|1lLp&+cv8wWR73sk*`Cm zBT(I|zBf)QvQ)KhkubYlAAN0+bS;!#Sf~i7;GS>;Eahv*qkCs%pXKjTwSZ#Kt8%Bh zl*?r&-Njc~cOFPG2eRydAHzVUhRKTgVUIKKIJHfkFQ8u`#GKO)kBqMF9(luqpVc*nVUD zY_;_$wImJs2A#1g`Oqkb?{1>h>qOXagpVHErPx%+5(OKQIOF5X^IFsyK+suTr!qTV zH#Mt??9Y-3MCR$618Nb#=a2iDl^#aeEHu@hMl*npv&c-M$L6<~=5~T9WQRdRWP0be zxUo}J;#(3_7DGC`|0E3jTE_O|gX)4sb|c(=fz`TQ;2FvR6G+ACzao5q=^zgJyfWM} zX&o<@j4|8+Lg1DY1^=pRg{lhjT@vZH?2!=+dQZR2no3OC30q2qbToRWwv85+$w(pg z>@cfYy`wi7TFgYfCNU!4m)hKDNwb21FoOufAim9dPKS*+DHa4u^!iu3hsPv3{n2CA z(F57}<>jg__=tu?H4keQ?x|%Zf~p%_uepxDKv+9^;NQfRyMB==eVq zLGl<}57%#~+fPFof6>BFCYp;h+3@r*x~TXV3%Rje=3%S!kU+)RPu?-zc#%SigiLV- zfs*qj&A-K=zhGRTotG`uz7L(n>-=)%QC^S$`Cdldo~UWSdnHsURCkt$=y`_Gng(== za^GqF!oub68uau=(V-1Ch1-YF;p0f%?Lo z9S4@D6n{Hixy+=`3QlLK8=S0wO-92nr`s#M8`tmf`J6p55>BxxA{Mop%=+9F96&!H zv3I~2P)2_^?>;}kQr7XL;8+M7OE39Y2A3>75U}@Xlg6(20tac+JdJ|NE{r2g@qA?i zSa$0W+tiqe0ACuBsa?OR#_+!m2FhQ%J*RSKPcskk;2I^HIR@|Oftzr)=LajY-^YJ0 z3OoA6-#`k-ZzutMPuaQ4=3Gd>a*Fp_hkH!%$sFYkX}KnB4xjjf6Vb98{w1{V?gQt9 z^K>cTK-sSUC4s-+n%l5a|CH%~b%_<1vdLW6SFg-W-+ip%m{*JQ=L~_0+1r4`wbd@v z^(LF07%k1A>USeAuNMoA!ZDMIqS#f}kr0*vltmp$fhxnof@Bh&1s&ko|6x-zz(o^~ zo^J}T7qaI~O5d;e&jF$a zJZTRH9)i=YIs{-*^(zCu^SgBKe*1VQ`heo}w%blJ-Z`@UGy1E-E1!jwCPMF z0a}dsHvfeXW*q`?r!F0}l2By^%^eQP0b^SOvp@;qC$Gj$KCxZpDzUYCsN%WS)J?p2 zH57YA8lq;M9&(5WWLM@fFp7O!f&;9^drAsGbCZ(u_V-azn&@7{KOZRtT({Q3{>Ii4 zzv^L-DRA+I919!_5}{Z5+=(bmG9Od}55~nwgM}WR;}pe6p~y=R6Cl(r6k3r=`aG)| z=^ZJKE4V9+MW?bhoM6Qy)^o$0i-StnYJ$J3A zfJ$Lda(wcwc3j*y3q8PYv%&v;Tph0LV1p%Ohe-A2MT3u+ppe?VV+H(~_PF+a!wm|s zt+iG>k~9b{|C;LD6W~q*;up$*&N;-nFZccZS7<-4+vJ^~{b|JaMD3>1Aom({(x6ta zycl&`arMW_P2OAkMkl`rZwrD2YcnNv9KIf(0Fuf+F%#)N`ye3Lb{wDbfT3BbA0;Ui zEk(8T4G7pFP!c)$*xKgp0B=FEAy8G&HcI>JJzl}(!?Ps6*J1$Y2u6J9+>N&0e&V%$J52;Aj&q>xuYM zhs)1=>o+2IdrwTxOOb_}Ucp#;&fdHR}3#{E-K3+O-}g>D4xn|g~S2zts02+1XX*>>yxu+q8WeKo}@rx zg--<=x~eoL=T_=teqyz}x(FP&#iW+`QKnFNSe?&$o?LgFGx%0DfC_JWMwx5ICo;baQRRfxJXL4H$-96dZ0QvGZyenJBjtxtYnDVw z0p@PF9!r;_llW^olT>c}lph#Bl!zMtVrtkMd_+ARwq<7c@T~TZSGmgQ!n|~l`Lsz^ z`ljutI(9`Of$=;P>z)#qlgB`p@ftq|8D6h)zLFW1{xYYMUdZE7SelOD*rVNJXkj@R z$W_Aoq5Kw|3G*bS%8Nx&Xy*;+7y8S^e02xrL)2a?Ugyfub*IkCHXsyf05_dx^HT*# z+F;7g20d!{qaOuVx&IVyJK*T?yZ21}a&|yq`=*$Lf=!g6p1tS#{30-Tw7BklBaR@X zB?7x$JO|I<^}Zb}xVdhctCEn_bN7jg-*~;KDXy4ojXLezeyS$1(SDh5&ru=kVX`x2 zFPurM3v~X|_+Tu8r9N?JFPXT22~P}AD}#q;7uF01Bre>`Yd7oclkRwH6DG3(Oru8q98xSb_u$4bW%-ar-{e`82zf?S)1- zK>Xh)hQ$@bu=y~PcQ0hxvp3R;!tsryy=pEYNsO0XnpW4I*{vtVw>pc@asMvPthVgwl zAg%(u8nFrhsE4G1B?`3;cqL07l-r*61MVIT6{<*ab-*&(;L9D;F99WS)XiXNm==z4 zFI^f!eO6i(;dyfaSnZ--P6%nmT|cQU6M zr2>2^S&&!CtQXvdpD_pliqiJg*Ty8}-Ltx61kUd98Fs|CXH0EFH07Acv5gwx=>mgtO&AGq|7uh9teHsT{zViY z`iIoMrVd4>Pa4>x)1nyEx4Dkh5M{wjh{BDxC}PPq5# z;qLK2WNO{+gKx(4^YRyw&w*5S_Xy zHcjCzHg?ozi9a^;9T9ueNA&){U7dK1Pn7~CuB$)i&9_R#b8M{*+QhdD!;rgNkLV6~ zsXeb6i@WKwAT>1oiZS91QL1YlgO3yu8r0enOV5|c?NQVI}I=DnFR>=`tDN!Rm+V`=wosk0nN~K^Uw@n?ACb1_<65nt*41Ja>AHrB9C zf{qMALwSXj$2~Vcn_EOau#uMTBk5^rb!0Em!p@AH+P?&X2 z5gzsHd z2vGf6ts57EV>69p*P#5}m2xVf2EfqF$DUSWOH+(T2x~H;Q6J+*LKikw7lr}-)G44_ z1Oz*DS=(K>)|-KQWhM;ic@8bHpoV-3V|4 zwYEmNN8%<93_~-8v;Ue!+$?bJ06;FY_o|2R;mW4dde3X6uD<*jaeE~;flo$s3D5Tz z+Q>2}y+Cz!oXvNzg|&-Yhxr|gWLJI9m5#&oye98<%1qbG9Z*2rny*6}*_DHUhasf< z@Lw3LN2QfrT4JEO)nU~5xjX^Z<>-U|<%3{H&3(raY6S}`if(QwR>Fy|JtYglvyh>w zQ`tHl8OiM4Pal22r)lTc(jv+bp0F3+<3=u5%i>+AFmp)(ak^G*CwgyQ`Y(oO8E45*mPF&GiILoE26RcykHEJ< z11n48JG0Gn6oSs0+-7N2a%}F|8jvPm)We}O>97NZuAO|9dyV&}tduVa{xNFA2X|r7 zdhs8u5O#uIyA`D9J9iDta>%5T;OqyXjc&3gsua5E=1+}C zYmvXNFK1T=oQdnp+_sKDCNy_$;r+bqRVL4)7p^=Hos{ns84ph6R4uN)vARdY_a2=1 z-OX-2?Q!0=&bZp?-<4PI$5hVzx!30qR8MP|-T**%>vPzTBU*j4&7q&P(?5 z5`rCXIP$2!Jq=+Ux$eMjE;_pU1bjeH(j=x$PA>8~m)p~G*R6R{2?*=xQRcQfex0aN zhAu9&9o%+ztmPOrm)(i*-`X;vOZ596m35F03@9wvzFBLqO8{PX5P*el$4>pn_L- zod=g~6NgoKd7myWaOZ1XLpx6Yh?X@K>#_+wRy5iz&{Q>5Go*k(%*2O@HPzC3>0#2P zuP4!Olu|QZm%9c3M|IO=r8Az+d5zESD;6ig#^|>5?eBWGQxasrW`%AP=Dnfq4}>}C z6_w7nzQ1rW(9g{`5GooPOC}6iZce;jKabMhrR1*9bMnff>F>Fmzb_Yl(~!)#Grw_l z+rc5XmP&6gyERdg@8597tqU=dPWMx}ijm>wzs*%F=oz}FL}1#fP8Z96!~I-XbA0Z5 zRV<%=(N+kKQ9t5~Ugjv}i0xRZ+OIp`N?PQE4Iw>t(svxI%CZ(Zz@<)!AykS=>Vsbw z@$;FP#Q3kR`fD=x65v;6e)|2t!@D}<>x_{@wagda6;|ve4xdkXB9>_n^enecn+g|Z z-s)&)-87>w_gI_xfE~PSLrz91rEor~1+Z!~7?5TP9pPXU#wqVI385}DQ#NbbptbGA zY8s~3IAB0L(5c@SUog1Og1y0}w-@Nifg>@Z5dv4}_)>*OT(lzjhl50LWwv>xas%Yc z9>f3CgaK(JF^Mc;>_q+KC5R^lXI>EvwhTMJc+*sXo^^?A26tPtTwLIX)7MT93*F^? zHc3`=`H&qs?K-(mEYY=t)U5SSmX|@1lgUstyZOLp&7N<`UG{U5XQK9Yq*LO%Udqf* z!hZI-q%#)gLtcwYtxv2rquTvF$NaJoD!h9VL+fvGfXFeI+)34jl`-Kx3xB(+a|Qoo z!79!d12?2lXwFJakv`VLV`#5ieFC*K%7*!|=jcFm(6)v#Zu!PU}ZZpTT3)SDL=u4}*fZRe^Pj@Iu+ zR&G(5L)~k!(G+rAcD8of^f_$(gjeJWpT~6U2WNO=!7)fHEVkAT@GabUS;9HQD%G+>y6i;N?LhS>EDE$Bt-3d zTkon_2)L@t+xWFWW<1RVVcA4B3xj_~xy0#BkrW?ql`U&HSWEZri%SKs*_N4Sf{xm* z_e+E4gUF2RthsTW@|nh+@nnTB${p*I03LGZG~m|(#=H1~l>6>B1xdHEwI1-$BMX(f z=-cetI5N*wsZ4Nf`{1G>Vvu((<=rl2d%*POGI&!keWDF+kUzt7C%xLRR-$+gO=6Q; z9XFGHc?hgcQ2Y7Rds1I61`BsgE}L-=5Vc?ng)79fyWgkn{HV7Qhxc%*wd`u2j-7*f zor#=`maiopd2s{#xlH--yqlg-mCeQ^^)rnsX(kEvXDAbumPJTHko4Zd6D!;Dv@5^I zX5mg5b8B6%_>0X@TGocf%Hh_-u4SVepYDN`rYeIUGdLsPit8)4C#O$(zCy<0g_5Fx zPlr=wrg7mhn#ECWlg*&aaB|F4%M(M!1I1(=iDZ*F*$9ejs3Li!EmGv?R5ju`3%jEn?S z@HlD7F2hSp=(~h=_M#cKWR%=QnMQen=*#m_7>$>ih6da}aBwiq{Rv1c&fyY7;x=^x z8_dT$`4mp>som{=Ib_-OvUu($pY)+liOFeW^Rqy0VNK=q2c^ONB@{yxG@nBbLVkgA zo^Cf#oF_-GP9Yx&tm9tE`b%EDll5cmLQ)p-J%T*wGu#hTjeBX`ambBIZDf>;0ymeF z`;({}J!-z`H*(^ZP=BeWMvtnsMJMM@xo#f$>OOYD8(aaqdc%B8L+_;s82!C8-)@Q< zXwGkZu)*AM8n~n^VdcFzX1(LSldpAkvKAe$kd}lC+E?Q1 z(p-4*yHfp}oCL0qw+eF~y4_)xk2m4<&i+NqeACgRHKk&9D1EBBW zeP@Ii>2W!hxoYv0^Z3egQ7F%S67AGLZ3|_ZoV51fsjWX&E%Aj6HFUaPdVCqt7Ni@a zJx4V!AK<2RW~Y+7zxGvmq(wZZ{X~}L_BC8vN>@B}+gX&E%w8r7VELcfe)C&3R)%w| zjvMOvqik|07esB^geUpi2T%BUTy1AkPH#5dNG$gXojMM&%<(~U+O*@MmSxw%xB8#Ip2)un>9 z3?-)unRQ_~-rY^twtoo{D?Kjo5smJtAhDQaORkX;$?-onk)=zVgMB+VtWKG^?@z%z zA53$M670BUm1M{%RE2KU`i|$=Vumen*`U{Oj+|4;k*p4KzcMf|Vsyp%;mya&)V#`XG5IXe_X+5^AOgmGJHRqj~h8x}`hO<_iu9WhiNn~br zTq=uJBg`_8Y-A*eGobzzTI|$nD4nfV++)F0q^Bcu>N`;UDJ7ifX_gYEbi=zzYX^Mv zEYMbQGwfT$_x|H7D72NUr78uryf5It}zjg9lJ-;~Puh-ndL`C^;8i}|gTaWX9fC%rT7aH~Q$&sR5FaPIi} zGaIfVoa-XIhs$V5LM2NZhZ;6xY*SlXmiu3^MsIKP-Fdc~C`)D^A0=+4NpdQo<%2fp z*;uC^gEnzilkQ${GKs2T{#j_m*tlv|-*HEn2VSwLV@eP1TXgnI4=L+>WwJg%Z%e`A z#1iZKK_H5qVXr`U4SY%4qFzsc7Jj<9(-s^5s zmyifv&)FC-;lrF3jg~ZgA3pI7t#1Bh zrr;wO^z-?VC{`jW0sM`-7Mh&g(z->RjxHXMTny+B&SCQzWy_MCg8cVAGK0Ga81x{X zF8C7->U@*d!God9WsyRs3hDmpb#if+{~b<`{< zQ||Og_I#DhjHJWaw&Jw5#F>#|_wt;Rwj>k@b;zv3N>xr=)!CTd1A3X|R%5ES^Q}%> zhO>GeORP)Htre>XdNtrJx3x;cTh44Io!G`fmx7D;o<12FcE=mM77n4DOMkn~h10D` zV8a0x(^PLcW3^ZPnB+I}ESrSEtRwNZQ%6jh-a?pw?w2k*H;!djP zGQ~>}=gI>qobOzDa)#h%f4@fKywU~H4e?X!KCkfkugKZ6673^iWJbzQoavdFou#9j zfR4v@`@Q)FR@9{EL%aN>Ix~-No^G34`(X$2;roJAK7Q~g#E{Og#bex8^$$wqlLN2& zY>;xAyLs@`Reeiw4a+8v zV<;KFUj1ltMkgj(DH)PMs_u?yoEa5y#y_(QPQj6|Y{x4YMu`>-M@?J2s4q@FIraWd zl2K=&sWNi7Vo^Ti#K`;3n~xQ*!70lFIvTc9*N77q)gMJJ@XJABK9Dn&_Rk zWOOj4*^B(79?SG_#|kCU-D4J{&AGQG(KkFGf0Aoz+VXAs#N^(?zidN;R5W-p1QOzt z)S!0e!b)#~&Y3fRr~HydEpmK6&-G=6;}9Y*)Ivnnx&JK6JY zuJ`qe&QtUS+b_AAup*wcr~@bNhT{8`_uY_8?YyWYJJewiuAJ}NNGpvH&>xsaxczKt z5CKBJ4!*S_{H|sg?N$G3a$V0iwW2TEOAP3w7idkDB)<73sO+_pdT^YtE2Ej=S7-v; zk$G?LS9hs2${U2?=@p9jy%VOGDwf?(yLTo;qk1-0m!<9Sd^r?8H>B-i4DZg+#45m) zmVDOZV|LvM%I4y`q-|GV@8Kf{JvRtU6k+W_o6U19n4(Y5n(|}bX)-yEn_ky5J0w7m zp+i7ZDg)BY5> zM4r?A9gM+!$+y$44P_@2zmSF6$sT%GvTNe8SuDUMS8(!ub!NUzJ5Nr zM5B8YSILxewO8KwdusPf75s{B+1Vb7$M7cH0(bX265-+3D4+7f|8e=fE1u+(>Vab0 zqkPmDnxPst#~j|Vv2sWtM2MsLfQITOrMLV{}QM=O26oK}pgPpCN)srD$s=e>Ayeq1#HScOdya*|FlQR2_-#SghV#^)D)Dv^>>nt_$3N*WAN#3W#2X8r& zS(T=-LbwP)Y0q>Ub@mWou?fu9x3YbhBJ-O9hXIG;9_vvc5yGdz2YS z>paF_d=2QByL7ouK#P?go>+s&+UX>CQuAK$mw$9Hz-+So>YCiuC!Z!>{({f?qAb7a z%NYTNSR=o_(jA+80ftzsZJ?m{mMSaaHeiF%c2a$_u^kJW^w41jAckjFo=SnUOQvc}qZ4Y$6 zYjt-HW_imlgkN`2kC+p>IxBT73_`5fGa;gYAI+Nb334F$dDixR!4A z_nD9kttfaNrV8J!2igYmD^XW6xDOn0#0S=u1BKn=04>(oE`XK($rBAT*v6TN`YM6e z+SkR)RyXr7c#jEbBa#oe=t=A1XUSC$MZ`AsC0;Z57x@et$b=)y8W-jLqM0>I1wm*1 zO`0H(1JnU|{jguL-mWFocBr}CB89B+^@?F*qExFm+wj3-GP6kji-Hgyb(U?1&mIiv z73p2Dqy@cmWioA!Xj*oyv93C!L#Kv><|PDSU9uq%UI9~yZ8m|SHn>%jz_T~}s>=N- z-*T(XOH)2hC7f<$lcY2s@}-12(U`)gV)xnm=$AtSQ50skmt>Qh+y6c|QjiRVI5!4l|y;{az3_ic-MJ%miXs9&04HPGwnu`tPw|Z+<=YLtmS{l z2FWbcBl=Wys?a-!-m}hApEsCw@9lCq$_9#0Z{f)Jo>IR|+yWLON3YU|CeVW8#Of8M z0^{)b5RI^>Dcyljx(qX`@WWP^-^1nnhAsRQa<)^v;e^0Sb58md(Z@{jlaB%f^sUxr z2a9(PbWd)>J0FiFnOQ*bm2}!=Q>P}5Oe*ggCM5$MxM0LeidbTUzN`mO-mBFpqqkPD z6S|;PXf&mSUCIxQi{3|mh_?CroU2b30ep9g+*@g`DP_Nrs_gM|qteNg)TNtM1&e60 zl5T&_9Y@|v>t&IGXwaW(@jMFvfdcma1Ew#HMyF5MBXxdF!_y0I1pQrR7ShX`2I?L{ z>K9D1iVOY>2Qi!x#V{;SmU<`^=h>r%JBAP9%71XHD3;f-;8R=b(AU*KzqkhBKu$)! zu)eo#plmPN=_+IjQVFIo*sn7ScpLI#K2en#G04f6K{u-YWQbE6ZebPB!>_x5cxSrX zXbLjrD?3rvLwXfq?ejETpJw|S45wQQHCANtvMGEdtpg{ol3*)5QdqnYAXM#06L(G` zRR`d-6s~nccPVW!h#*?WtDLC>dJv8V{}JAN(9V^i3Ppg0okkQ_ruHY#66!|K{ZdG` z#!NjM!MH?sk?iP_vWd(YUI%(4->p1od63z9r3z!Hy6r4*22N~TqV|3flknJIpF>Uz zF%Pv#n$dHFs?_R%F|@GJWn5;CUJIFj>Yw*L*%n|B50)j+l_ z7gwC%!ZWcGYQX*x1jFV>r`Qp(yOYrnKW(}K1k0K zds-aasJjO4fWn;LA0%@0?=Snvo^ffk)E!pUfKkGUIz&w54d=Hljti%iOeoG}q!Z9a z%0q+R#S?HAE9v1{>XxHUw3E%q)b+kQNvjREUm})-wY|EBryCNrN9B@G9A-dc)zRiJ z@DBMa7${^uvaV*>0UPOAev`Z4i)HmnY+obcW)|h@qN|pv#Ntj^1P5@0=OC~3MVIQU z5jpXtmKtNlJJ}J?$tZ2}Hu?210-ermm3vj`2(jaH2q1j$hp>m!(&dW4opdKPUKs1- zAzmj>#qoeG>FxL$zVCVijm(ZVbukQ47nzCMVo^S9^40JZsfQNpi#*t@0$)6);v%`{ zdJ}DO|CPYBI(q@~Jpd@Oh>4!JYxCb*)VD9yAxFkd%_`TVbf(AO@}@rPCk)rdz+Nmc z3mB#W5gaR7Jm=@sD*i@(w4@hkV6i%hK>v_3Ws|R^M~W>MxM?u*`lIJlF%amND~&tI zbjQ3uoyGdi^)Qm_ws&-k`02^@zi&(%D+Ydg94LCu9Lhh~^{&@qwh``ilz1p1O_fc- zd=uW<5o}Jkesl$MNt_W-{`~rus)y5o_xtcw=?p!>oe={$4c#mh0nkIlCmY2veN7Qi z7UZK;W40?a)A^2Zz?tUDZ!W8-{crnHEt_O1*6lewO4T$AH8{i_Q#;uCIJqABCBE~h zlRb_I@ zhRo)ka8KOJ8EPc8IQca;>xED*YouNIzWLOL6RUmRqa`o6Fhqy@-d~if3M4J-*@Cf) z7N3q5&){7D8yUZ&T5F(Y<(c_)c)~z*A%)|*rggmB-R9+X-!$Nlv3th@*_N`8o~spG zZYWpX)Q5m4Wn@kLhuxou?>fg-KGhVmLy(5eV#!yQ<#^vP4T$7256tKZL&Ev*M94{~ zNowsC^>IIp2CC9(r7Hzpq;buf`rq%RC-);W&n|?7@R|NNzcU*Ir2%6v!@Dkzz6xxM zV=zQB^o*P%!@1zB&X7+U^i&J)|H|s88uI|@c#AuVvfFhw%l)`fBy*@43;~N!y0@HJ zm3kjCM4u1ShP9eop0PBVX)>p8pN#v;)MU#wKCYu6^ySrNugu?&L-r@0_p)Y5V@JQ; z)JQ;!yOdms>$~hZiaG!fZixofrA{ShFkZF9n+dR9NKJJ70lMr`>73_#kjHxfrWI_>#(XW(TqR)b+a@@8eje8&e-vk^XW{jGzWR5{n${Urb7i@-zupZV zoV93k;we-XhYnVDMK_8o#fF6xIumMemx9edDmssV2Brju*>R>5l~P`i%Rf*3>0`x= z;58gPj0U&+dW(^1den6g`%=Fxo( zwBBo`>|g$!>Xp#n{la+0Bb--Aq<)ClB&R*1PL%Sa*kvePmn-^hW3TBVTiLM_wX6*#ag&36pqvUI7xJ{%SDy}|lw*~Y2E;;%a-~1i4*zvJ_ zIS!yWnwBH8N||R8E18g@x-F^lxUG*KP64)Gg^KEgjTZJ->N}Vsg+4B=ew0bBlsUG6 zI^*oZi>mrQArc5caRuna@9T|%N8Kv^K~Q??Jkw^ZBq26IaKxZ73w?~`+>?@teatJO z1>Ew%c(hpMo{0gR&2@8vNZrPYK*aEt8%z*?KGPir&hm{XrlQW(- z8_mX!a_%;%(AAF(NOiSBZ^axGTEFYy*N@pe;nXYuu6$T zBvIf8sqmaaI7nvmAL(OjD{|!6!;GgY8Szs9I4QjMgO(RAjLW``VCjict*g)4?@*C` z6*JPEdGAmYX%d!0-_whBD&nRd_aKAEZ;pnC8|Q%=3&4;feJ6eO27i8m&(=8?dHIK= zRj*?JaQz@klbP&@`Z;Bz;LNbI7cuak0KVXE%}^L`z@$#|ABy zmIY}01s71a%Yi%DETOEJ78D@InTH&OU;QSePHi}!KS)&tX=6V0cPHBh2rlIM?gm_~ zng(r9QISn5%gPij%%mVG?qh*orV+BMYfo1zmggu3tO{5ewq422SS9EYIZa;|Wrz9z z^3t8!f6t~j&BeX+HUwU7>V^!Mkd_^{#G`0J$my%`pqbSu)ZwzaN;UP*1+FReO~oO0 zT~?qAy{`)DJgpPAwYuC~`mm*`d@Jk}zyN`?o&s~6Jmi*`X2aYA1=gJ%vVrC_4yV6Wt7vitTW|a|oslm7 zE1Y5)h0AhVqZ70gf#)Xo;R-?gmbGO!y%?QV4e?IF)@i!o4|~cbxMhhW)wRRjE0!N} z8JZ};o zku&7SB=DBXBf&Cy2~8jCID6e{>DuDfI4bliD_z6r?ao!*8$DKuHqD!h(*Z}B@OT3N z$ypFv)C0t$gqNT&&V@29^^`UjPs7_QV?Zjlw5sCTl15%F;^Fv-YDKWk3k??JU$xFpm|&-aFVwuX~L>V`Y5s8lwl%K0 zwwH*XEtru7^7PgFLEvOF1m^fDZU6w!>*hoC$`e5CI9Dph&OMJJLI$w*Wae?!Djd zcfK=c=FEIE=dbtqBa;jydGb8>z1Fp^b*;60h&qy1pia+g3?;;pZabj`=>`}4a>rIF z5FPd{ojZY2JbnvwZmV6rSL@&p)6qWJDkYVB?JM?YIpl?{qrbIF4a2RDa-Mk58!JA)6@+IL%u zJA14ojEWhcTcXzC;YHU@?0S7XQIg-v(hf6_WTWp=4z0*KEv}DX>{srNVQY!e3D(I)sduBpp=fR1ne8N5DTz}WfS8VFE8e>h2&DC%EuDG{$5p!18guy!fz3#YyI;LOWoTnZOg_BVHob6j%V%*X&61+fvx#_R{Kzs!Xb4?_}_5e$<$rBhon9-|yEbp-SkX@?UJcT?>J4{b@8 zWn`rLOWTNkLGItf%qB(=hl`yomCSHPz}vRdCw3KYX;EE~8jUu0M$*GQ<=DqGDJOORbNAw0`6gs8`F-0%5RRa1< zWRN2`)CW<2kDkr-1&;vMS=2dk6BU4A`eVOVRmjGg>E=uwg@*=7`~AJ?D^#h@l%ZAD z-c{1i?VU-b_IeN6(|a5ys{7bNE!Zg(YNN^YNxGqsHw?KcU8z+jJz;IHE^)p^piO!p zZ9d{&SX4u8v2c4Wu!xvU6Tix!AEvaAJ0MwRjU>S>R$@*r;ds!9`}jXciP^Om$H%0Ro8xL}__y9wyIYSIdM*z{CalKSHpf3mAxy2L zUZTDOfk^t9V&6p=nH~D9;hE%rm_gu9BjmtQAH znLjJBOOQ5Lun2q)bT83S;&tvEd{HNgt~wd_74Qsw@LRhT-@BXozJQXOi4f`mPU!I+ zW)+UZs=eNjW1JHG2yO2d4%j_7ZQV{a@vaEhuCRiUlEf`Gq+98$KN-?gCdD zvQG3ns1khYYLF9TcGdUsbWN299*A01CJhQyCdG3aOY{$e0y1?H?_GVl9=JwC4IG%C z38!CFj}bKR%M8?1urPA;t6DO5#aJ|~BzLw>o8oD>$w8}$oyqU9&LnYSfI>9afABT& z&?)GeUADCPexoc;sW@Bnl|HOU2)fQWO%ldooCXrGZVq8qKW?b!wK|5W%9Hy((x`Uq z=5Z}XSO2P6jwAoPk=#Y?v9l#xx;Ii_-mQK04}?Sskc-k969t9L%N zl@`uVV}1^XL4#-Ls_6QroEK;gT{HW|*{dA_eC~g?Hm{K|Hl8L*fou7pIc)lSTMmb) z7JnO+!J{N-0Qjez>Vzn*bJO$P>g9KKG_1ToNtuI!b6-I%D! z$*_6~O+TfN5%+wg&2zMeO3`@=#+i+OHCY^*ufO4A-4-z# z7muf=xft*GwcD6>$34g-S|%GJ%f7I`YJbOFz#^q!z$k&m!X%ut{8FsgrF#&_@9MB3 zK3fzlQD=&zpWCtNK^&)6n=mt6>RI5SfpQz|O5(bxgWS+d+vYQFX1LSKl3!1oy6I7q z_1b+mU5h-!YAYKpb1Zf&F7Z& z&Lo)g^4c}xhGn~Zrv?qG7m(R*iqA2l`dJ7M3lEW9*F$nnswDbESpL12tLx)$C;EC{ zJP|hX%;a~xzuOq|j^@HSt?WDYdkX+pQDn_koQ=jq=P7m7e=D_a(#R*iCJH9J7;AG+ zjwDY*%z&YX5!_Pemz<5J`UKk%IS7x(o3+0K!(>drN7~)xK9%Z_TXjw7zUHwp&@I+4 zI1SW&Z*7NJSBL~A5af39JEIO@4-MlkVY}<4`0WWmTxBfMZ;fjhpDeLUc?zJ%@}?5C zl%a!-_}E(ANkj19$>Q4cw(N-N6y0#Xtq~9-#=(yZIPg*w(qtL0$5j!w?s@WP zAIRK)YzTk!j4+Tv+vm?sD8DAc^0inr0Pu&VMV-;*79EAXFVgX_CX&oklX*HlQcX3Y zrom(;BjZ2vL&$PHoFvzzr{n9l6Cb?=37o>Pf;{fgk7D6srSioAQTdJ}bo-&r5iE#4 z58uu=C@14Aj(&kjFwG-CjnSY&A*H%bD|CZF3tl8czQJAxD~X$^uh&zl6;9u5BbXuN zQ5<VK96gjP}W|L zr>pkOLdC(zXBd@I!grY~eQ)N{DtY!*5O!8p2h?6+66&^*CxN4NDscYD26=8jZB5kH z(=jzNA4T_;179+IqSXPDmsUnx*~2|b;BFk;Gkjz=D$Ybp1hQgd({CTv{j_+P^~<}M zVEO%T65rmdciDaPj`09t{|r@fDL$1cYKHSmjkW&(>b^D1%j?CqiCv~6)DsYZP`=Vi zLQ7a6xt^xi@BDN&y7#4e*@9ZgUgV2}fjJeEkiVwJQe$m1s6ydy=*1+x0PEuYJgVN+ zNJrB&dkST}=-Uje2~2@K>OqCYvbSgc-eJ!no2|kI9yDf0;r;KzylGL2{u97#Ru2dC zW4mNOsWB~iGQFC+{n%@Ny>jDFcZjOK#P0t3=GIyPa>SMsWxygkGPtQiAo)yn#VX~S z%`kvdF_XlgB|N)f9}Vq5Kah&8q~UlD@MoQ4A1BCC_bX4;T>#+K0%OxvHIWVReMj z*{WpH1{PgdlGY~9bc-6Z@@@aF>SIUB#VeGdZDMv(3C>apGGweaYoILSOS@vlCKp`o zLxGgodDQBDdG2YSU{etp&0sK8j~~r2RZ}B>Xq)%4YPiWrjjW=Oqo15yStvtgflHuF zhn5aMP(8SJy4s4NuF6yWy}=W{=+iU6Wa~nHmU7kE+nhM-ueefM_fMbrij_$+g4XgI zuQanU42fi{Xy?Jcx)5jJp7%qWG!~uneyqtyjyRh6c0wVuoww}?G$;-eBJd*845jkP zCv=LwZ^zC?@5R-u1^&4N_ul4TjxNJHXv* zCR0CzmXoq;K1Y07S&uZ!lqeezH<>5LX11pD=oW*z3$jkLGRV$jgfk8h)DGCFTUU@%?1 zuCeg1)!#Gnp)mn$6!@4HB!_UTdof!f8+qvRzT*ns!az*&YZG4gI3<)Hj$^yhl-Ez- z`AR2BB=j74SQIVV3#u5}!)!FQ#YiF|Rs-5a#AL>Xm z+CQTWY7TCltoJOdMK$bH>!a`%r^0gqjn-1ENN(pc;HjZ*W4R`eCQ}^hk(j0&0$E9# zhdvvHXNn%XW3xQ=2Mt5M2I2zQQ{k~Tuhg@(F5Q!Adq{GzGE)@I81_STPqs_=Hbf=T zDD~q!2V_5e@8$4OIXI^qeXJk>wteD)i@f{ni>l$Q-zFI=+je>&qFwUL!Qa25b##+? zx92!!GPk0%FLIZyuF5nzIzDWKKknAriiH?*M+=9O8qz6w)yF_MuIJ zq7nREeFM!soBo$s(@`Wr6cCP}3#E5xy$G}1$*L_1u3Lck6nZu5FUVD}K7K3}Eli52g^B+R7>Y{5=fn&vO+>(|F2XAoD~>@~>4#vUBo3 z8NHhA`Y3<5?)7-kp|$lVybpJ+>rEgpB0`)9oUs8!O>@yxk8N$aYVDhT2;NLa5~V2M zj-Ph{cBiZ62Jg)w(t^`A$VX=H1#|zhvHEhC1BBs{Q67L{0@&yB3?I2!E;1edZvbeo zN|r6n2>^0k-yLl=53S%bL)H4kI-2a4=lNTLg5&&_%KD@$#lih4$9XjOvN^HStcKmg ztvd2XeWhIQZ5R7ZqyY+@{ar2ui|GSDfjZpFfg2E5CJ2ZqZ*b5B ze|gQP5*)QTFYvKP|CEyRYwdLipy-E5L+9R9N1EHGJDtuZm5&XrYAaRc-LXyn5?3En41Q?zw%ZxlhH%s1z23EP5~*YQ>JNd1K>j;#DVIY%gfmt=O>yw&km@c(kq+YCNa37to5{ta{CNx?1OaGU&M$ee&>Sdh~P!aJjz1 z4nFq03)0!_cNYv|Hm4q84QTg6{5I=jRmznL_FoxAdDZ_cJQEetTJCopd>}3u*-95@ z`EyEaG`4Ojf{L!=8}_|%6E&tL9q_PHp=e9PMd(7lVVu>^kQEZ_KAl=>}QW#p6WV{_gOBc5;oW8~AdLGn5g^`;;CvwY77y#)XNT$Ak6}6eI50a7$ zsI=dOl#rVhS?}d{!rw9`-qw>(BIS_-c#ZcI?^47BajeDfc|Ovrpr5{I<|~aM^!J7> z2tM{d+sCnI(zYy3jj`G`7hb25_HHOT@y)CM^&-qJpIp`w=nyTrUR>icJYZe!E_MDK zfj8?`ly%Vj%2Jz zaYcLv!E{;|W$F%g-|RRm5%X-e%EXlF&v5l?OMa z;LRRZe#>jh0Xa^;BdlPLxFUN zb%ELmtRCR;wgn38!c1)2}i;cNI*| z#P?+i20=^#SoalCY=G0w>fYs#h|?&+4OmiZ;p&~>)hc6SAR_q-NXA|s+C8FCjHVcl z^VEu2nX4FDE~Y7s!<`@dh@DubGp}hQ%EY)i1^W4lfoB-U2J8ba&AMge`osOHNzIEL z*;o3(&YSTc(AH9E$RPy10vriVfQgdNjSYt2ye2*$O}@~$&I=T05mAu+AI?v_x5({K zO1D|I7Mnint*_=4PDu2FGEiSUYh*#)A;2`Kw84pkTgL9Era@I@OV!nh?6ff=b$sIk z^mi1hvn$K>n>m^9L~ZtIH4$Cfw0%yo# z@JgT5cj7y~t|l3bPH1Bt_BQ5IdfdFrdGoDghg}?WP1j_oqP1*6YaGgXQ?nMyd4p~x zuAM%PB!omSA!LM$0{%v$P9Dpi%qv*W^%SoqmAraWuj**C~fkvh}fXwFt3KRhChrHNd=JZE7`^<#AI=+=gC=0582ZSO1 z#@p+hyrt2W6+;5 zaAE&8E!}4eb{7B58tjL`S8GGaY33zbv%>qow*B;G3r& zGLAB17r4&?{iHSM=>$~c(9pDT!N|2_CA{*X9ZiZXCV}18j9G-OGs>PR8TuPdXH&^Y zE0(WU)ANAc(82fwCs2!s*+!WqlIxrvy4X6DA2&0G7}sAHts+WR=& z^bCjxfnZCUP349^Wz!eD9T{>V`H1tgisDsILTP3>#P+9~7ZqyQqw+G!{0ELJQvLD~&sn1i!QOVAz?EaNgPlD4 zK|;l|ndhV)<0#2e^VS9(MZ~cQvc3$V6R|gP{`zdnf8WGUZ>iD}WTJ7zb2P5V}4GcR! z1lKd|Goa=VxM)-9UT>NcyEh}os@C9~IjsowQiFMmc)2pS8QcnT3ZVHPEa7C7Nz zCv_D*4 zd;P_d@4&&(1U?;ROp^tf;KRVK4@e$R;1uGlMEodDoLKLI0~+;)1r8JQ6yni(Dq9Xu2$h9s1chBgfh}=k`k^Ef)mZ^b&D3`33F52 zp6USpS4#sq5>qASFo;Yf3(7PJxqZPVy~pYnxppp2^@rD(T>VZSSv^1!_I5&z*=)s4 zTPJ*Z4`Pr9q%@fhh9{oh!uz;}zLCf|fxef$6gqJdgbWk(z0pyhap#3RDdNd?18NW7 zn0BSVve_JsM0~wRQFgJw#kLneh8U1pK1r;J(Z#)eU23{H5>|6d7rxJ zkB%0}0lmX%YM?zNf|AV3Qy}&oK}SX}yfuLlku=Iaf|3uk*13H68&P1h@fq{tnCg<$ zm=jHr#LTp+r(;)|kovNQi`#8hijf2I#333(T^`LAj^#2bRW(}3q@>93rY;cla z++#v+|L{sO{rInws9lk(z9#LE(UHz$ysGknO3f8lmOC~%mRv>zvZkO@j6$$3Nc>bA z9rE4jW}Wq)D~UJ`38#J1ng#Ov(ZZ+H6RTGwWx{eRgGnt7dP&etv}ghC6*R zR{GA&_i?F~e!yPA;Xqs23s|54H4uSC$M-!}IogT6NBLRzWD+4q?sFs-VA-K`{3M{W zE#P5EWfqWqoHhTWjYA<;dd=Mwbn4TXaOb;nYRQNL*AL14 zGCoJnq~fNzr*k;1DKXm)+eRtq`6MoDt0PoSZL{UG`yVn263GrUavE7`=a%k_E7gNZLo^a8(20yVor& z6HXu;(d z()mAoG-x(+k*2$AN;XdJGoYeo|LS%rp{t>s%eK~26D9P4zP>LRcCS<>3vWC{i zDV)6ssV)4|#NaO|PYMNKO+YgXi!0*0!tSVP)v%UJT+HSKt#I=V{Ho#SxKIxGojMT@ z;qWtuMv^l>UycN5qm986R9VR|om$KnY;B>t-T?X~X@lN|6l1$ckE& z;j8Iinbd>B!`Ij9BYlU>r~4zzO5DxSj)BrEw74;Z`cZHWvs@Hz5d*jhgE9Pf%ommo zBH0F7QaMACeJ%<#IahR=?st7zGILJ50ge8!8FgdV}P8Q`{#Xp;^tB8Z0o|xjy8Qi zFjd1UG`T7hT1A*mehpBljxVIey+30V_qJd+cVel}?X3uLX}vFC_r12VExot0vsR90 zH1usOF{>|pbIMDOJQlc|$b)7+t)TbgnDYpJ~S*W90&?|OmnyC-31c}dHKV# z?6PEH`L~j_mUSzz-LE{x&EZpop_3mDZ;e7VL?Bh9*HA97K*-$ z&OCz*K4}mc0xml9Yh0YBg?5ggRSXXI9qX-%50-^Ck%p^{4NzmShYPn>U&><=vo9Us z8rC&qlq7JsJebC+OTWfhX`1#gH39C~QX%>b*RO!@G28X4_7GcP%Fu6(KJy%#nEf)t zn{sG>v!?VA$9X(`wie-}|70rb+21znwKMF*H}Y5>oqXo-`iOJhW}3O&R$lie0|QFv zjY=Dxs$Jn%!rA=}tMM=w$N4?KAk%L+d-x=P$rgr;% zq#skwi>9pr^1>YC`~5onMiIOF?ENfFJ67R01#3%B@v7R9p^nIzeRFQHz#lVK7dATb z>xtwdnv?q?;Ik9>a8GSTGMVV zd7XaRFq9?s1(vF?xAM&rSr2@=%SA6ny0(K~fWX`uRhCtWM(iojEQ3NeB4 zlRTF;P0|CQIC9)n*9>Hx(&#Usc*0jh`8|e}`b;<59ICE~pn*c$HaE}pzEAFV;f4IW z2WH+KvxJgd3V{JxZ*|l)Lx>D%yhHTNnvE2)Q{@?bp?77&<0umCO$L|`zt9%)0dJb; ztoDvy{m?Y}{OeO#bh0d<0|yD^aohOsd$pE+U8GQs=Zwdu7Ma{CUp$k*`mxrZX-8zD zb#e6G*}F-BJzGz2)j2&w?2Os2O#jSm+zgI5|6uLDzUnTevY|b{_Y?p%kaCX^08Li* zqt}Y;l6+{VGZ{QEzkEBUQnEVX%PLcYxql?4kmKM_GJ~f}yl;C=*|$6q+^*xzg=??2 zV}BsUi?`0rf%jks9c)2t4Ad5_lP4jyo3`04Z;v{Fq%6v_(dO936RD@^OjE&t-9f0$ zZ>gAMDN53u?;3u2JtAQk)Gnfl`+#IYFyJX4?4*<1 zV^EEzAlcrYalacX5N+z|x-Af_ueKdal^jN$9H#NYkET)6*XT2wV}Oz+q&d-`WpJ9Q zYBG>^yAbvmI(dcDeDTm^sz$L^TT z2X(HlgK7-T&Ru0|Ho=GuwA`<+L;7B?3~?KVzsSi$*IsDL;?MED&-esp-R!JfgU)C( z#7GG8pfl(8D=cm0@%MXs>XF-^p~`kW3F+Ge9(V%TTFj5>{^5883^_1~1Z_AxMcVg( zBt<~0dQgaVu$mQ_kF3hHTb#2gbb{-D(N-ExcOVUB5eKvc>nyiGvWW$6k4}p8`N8yq zA@@F%vQ@5j39+q3Fy_vQ(V1<2x3N5BRZ5v&=r7v4FKZ7=(_0MHw`6dsJE5m(UKMq0 z-gN_uOX~0DR#Fza;VAa);X13gXw#LtI7C>ly*ZCQn{Yhb>_#8*iP3l+*Rn9yOK=iU!ye52$3=kN-g_ z+ysiaBhuyN0nt!6&BG+KXf1#}B2W$~vDvNQ*S<5)oOT6fVs-D{3 z9^U(8PmRS@YjDoyrl>+#y#HmQPE7-ro)A$g;jP5NG=m}UC**&+op6P^tRLN zEu+)?muG3&<Hz=TW_&_e@9|#8+O;R z>d&`!(4NhjXUVcJd4L>}062TC-~1_G zKv~UaC#QxVJCi3oQe;oqKy$Hq|N0)nHtB^d5I_jS{CkXNa{8Tvxap`2hDD*E(1` zX0Kg_K2LUAx3&6C-g6*2UxR%P)h>?W;&3^ReAgoes$Yee&ry^o&~mK+Ht{%>)#r@54dl7E&s7Ucig)N-9`#SXKt*vDx8MV3-yXBPs_~S z=$r2n`7ld8ySO2m`z?kMqtL_bUda+W+eyxhe1jpo6h_EdQ6WG}xoKSipIyW0r=@u5sxj6y9->qh>k%<|4M?1jJ8IIbW>mMI zy(jyQ!0E9H2Z&SPCXyFfN{?=Cwu=fph%be<;f$8~$kdU@Z#KxgQ@0^Zbd`thE1Ed3 z*n$ev!V=rt0bW898on7F-KB*;C7tB$nt(T!WoEIXh^AJ$R-8GJOsi4yCOpV5Zor#$ zD2}N9MUMYNnoR{*doUhxdnv2o_-ojgDsCytM83%?e{PPaQF)T`qgaHl*;)HH{a~@3 z<5PbIb;kSPnfpbt5z(HnZJfG`zZ3&`hXz;h~8ersnHt;DYB-6+v-wN zUaIk2Pc2Z^k+?~8w7nQmgB+wGidwgasW2;%&*mM=mgM7yCAOGBv#=Cs4)5Wroa>AmFtk zS$?(YQG4|IV`#~&J%>WWPkPxB^9mCKHb+Pc%}CsFefpm1_r6b3lz2^c>AKrNel$o! z>XdU83n3Y0hFJBlTJn*Nfr;X>#!iu!r>9(5F5QziaR=Sm{yG$kB4Ks2^=3D}ckg1y zVpCN2PWhU!JRL+KEEQ3#Y@>K4jcJY_d zdRU1<3$>V|Y)P_mT(C9D89=9SaJKMfW!X~3*TE7e=0xZNw<%MWqTh+tYzr*ny-A=o zRB}~|&Vw@V{vc5I?-`Ug>)-Ep)3qgbUs8`-49COD2x5xVnW;RGo^EX=k zRN(mN8E+1r$YMj;8QDe1_UNE>$+7#Z;INf;6We*@?-r=Z?PjMko9Vv0EeqXc5t*R7 z=xB~sX(CMi9&0qmb5_^m605B4H#1+0_f=#|KGJr~LW|xu*F#aMUGrzg+j0BcG`1?% zR8MY|bRS!jQ&D23J_y*aR5Ej%j!{1F1gfr>rs{4Em+e?)kgw8C$8#YtHarh)3s`k8 zn{^bKs&%;=FMDovgwJ1W8`)E-o{P&3$1d z{8jYbh7@tGPJH6V+_t4GvsBdU79zkld~MMn=Qe}!gGQmVxER{gHr9P%KCcC02gQyX z|7-oloKc^{I*%?vw+hjIP(EMQGP5TJZFAiD4rURo3V{pDG{&3~f+8}>v zTj(s^E3m(4n6g_M99Z?&ci-80B8`r+4KgV*F(eS7r{|Ejmc0%wbkmy|Mnvj>Q*?D* zG`Ox#+Q-s{+cZ=k74_j*^OmaNy}8p{=AbFWj0kZ~iUPHCOD8~yYGjc-A8(61sum`27o_&{MWANE20FDosEozLnT6vGc(_3LU}R z$ggknz~wx5qG*l3_!cN7O}kZZQ0d?Oy=<39$!iVC%vlV68MXM{yIPv5ifB`dQ#ej3 zK21?8jltM*lmnhCV>$kCPO!?&RZ)D(P4SmH7KAJ{JCn!fL2Cg3qpgU8kREu~lwt1} zifV=n#LEJ-)z!|{v&3=tSE9?C1n%61_&(bzoaT1ipD+_kD5y{!BWG!OIJq+g8WQlP z*}wNWzz42@ucXlBJ@6jw)kRg7)f0V373XT-m(ayWvgphgzV}`BYgy^BcY@E6(@~6Z z9evdCuwlj?(nD4R1GW!6{F5AKu=L@QwN00I~=pduk#3oTNBZ2)!b!`D1{;%I5(s@>2hmkjvR(f(U z+;$j%S^Pjj1B1D_PUn1TIhO|Yom6C&vk8c_PvDE^4_G~pGxv74r}kXlPrF&ZW@yda zA;HK<@!eF22ojCFMvhok5*zp^_x#i6};GzLywwsJYy-JnHZ{`&E>TN^Nl( zZq56Xl~4tny=;_o{yDi}!r&Y?wim6n*LlAQTg}{|wtS4_+&dj+sgNlxe1XoQDyA;b zIQK&c6kyq%O?<&`gbd@wbo4G#2fWH(#^FKO_02kHFNi^otZz!n^eLB8juSz)iP+Pq zfr9U%C~`dZh=opZD!BltDcF}Zw&Qx_d}Kny-j2}UuH2a1K_3bcxzzI8YYrCdxSr<( z#Y(m&gYQS<>t-mw5Ee?R1I7UsS%(Pf9XSK&i z^Se2NsvEBCLZUFsN8|UZN@$W9=gko1xi5Id@TfTm`(V$Q3wMN$@*FgKZ{Vp{(yfk4 z?boZaOwc%%F;qJWW~26*vuNtR8!o`dC6>yh*fE)IPhgf0_T7rwAb-tpDu`}^GSC*|&Pwz^i%F$Pq^601;OCZv zwa1P&l<{E#aRP55uQ(7W6zXVbv8(oWY`IyJ&gI0GRbsNfJqe-s`zFP*fUEx2CS)xc z)U`xvcOxW1AkTMP8e{Eo0mBl;y(}rtP@5%a7Rh(~#*H?QPS~M9XiKbp4PB^3aj15? zPoi+eb`;0->GejZTk`_yB+EeL_Rk?t_QwzXdG*raq7%a3hi}B+hW^j1NV-43;?MKc z`9C6+zyFKn!yj7q&kJ_pzX9dN3(2;>qsu>k`0rN$GyZ>eq2>%$@pX6@!#{@5iDx>R zgZSR*g+Zvck`m`P<0VosB|*;#i&$J?SebqA7?BwgBH;1+`-esEpg-3iJaFB*EVST-Y<#|hJ*%GU_AD_$wB#C-TOSo?fU%3=DRQk3E zNdt`}-QC|yO9zI`rB(8~g$$9y=_~5WmX94rAzuydjbO0zoSFFF* zH!_mTY%$l|MKhdd`&Pr-8+`eCoH}UiAK+ zAhKlY_^0%t+5xXk^n2F!m5UjoO<}^r+OjPz(}&JzEt z_T?qc4{j3?%vE|-__P6hXOCV*m*-+}D;>P~$O@UYVcUyF!MpXg|DK&Z4b44aw>o;c zPXu#SFETzY*i`89XrJ?C9dDwsW14j*?HxNFbsk$Al3r<{z+G*6!&V){V7VlHv^iP-`haz{f~HwJYEN1iLnkTFCupUvhVl(H>uTH%6&m4rhl=j0y2 z4n4g2i;4d^T}h7n5U77Pb(hDuKW3m`MXY#tsb>{)et^`_)GRWxd-mNZ{hFKOuDsY5 z%GG4T$I6Ns=F?tU_znXqcm6&yK|ksblb$we`ucSSJ}d6dE(U$SfBQ1$fiW?nE>o%F zHfYf}YtWEgM-`WwsX@N?=?PjuyNhxu7HDI!pu>0 zs(Jq)rK4u*%twmx#&K=EFb4mh@AO^x2x;YVuQPD3Td5N-y>|H$(dA3TD4d?9r6qCc ze@-p>&am2lUO*(%Zd|CE|33Z?&G&y@>3;zM;F|u6oFM;&m_WSr{|zWlD0o9Uq@K_Z zuc)&*Z%$YQ2L-jR?dRuNyhqtgrsc1$0$j7a{INSpEF(GDCO9O7osOt&>9C-rMDC8D zjh44}V{ItVe*HOo7yg3C(g%F_us3Ooc&?2!D4Fy*9Z~(${2fI&otISO!rOL^*gC^3 z7iE0l=MiOHX}aZ8xH0a!vO!*_U?YUE`R9`w_Wf>b)4X5=-S^fERSj)JCu}Ngs@;)V z#a4qqfBr?b{^#R=g(e@>x3{-{dp)-(HI3`-O|@KG9sE`D%GsGTKR-X(#NzGSmolOB zT8HHYA`bImZ?ZY+#j?pm5UIxp0XrXmW{B8uf|#1#ze9kJ1_3#NlhbAV2}d%<|LtYxpVPH zj~=eg{p(PSgc$*Na6J?tB`24QKv|7O+b1n9M&;+_MKLD{dza=O@XE~@8@HvvEmzIz z#QyzK!1;yIc~pZ`w~Y-f&bcl+swjd2FZj(EVkzsh$IP)g=mrH`pya)W1sngm9-ZQ4 zyoko%M(HMz9Sdsr!s=Y5ot>TEoWY`FAIzVBARye&V5{eq3w*&uOHbdo-1@QB0BKXT z?=tCp=v^ivC`U^}-(B^Diij0K_ThQi6hb`x*V{2~Jjs&(84v#*6t5*&R4?p%nBHzm zGJXmWmfd46xi1J=rZo=(q)G%;oF0PXfFa~BFg>g4+qjU`NFlc_06bl=y9vx^8`Gzz z-3!#z3uDfWE^>Y0jmRDkT$%ksd()Lk2?*7tr3a9XD@&Y^4!nzJ;6bm)rhWkoTsqGZ z4@v}3`g&*!=yCDL!M=*(`<0GTs?Zj5J;eP3Lw)^>P_K3Mh|J$V{{mwN_7)Qeo%fa# zz!ZXyQ|BSB7E8sG?sxz1h#pJ<>!*xUwCG@^4VH~i?C%skQe8gttTQMws2g$_=dPG4 z24m9oK9Fq=UqF}x&Aa(UUFaJpw&z2bB|ZAk76CqxO^|&5B>6{ML}7=(oTF%1dMFb=5dvec%?fIrhKTgvNp5G*|;u}{ELnu@)v;iVgu(Jmou;Y z{_Y)U28M1grkw@8py04g5VGY4Q(pQ&SS9f25xd;0(J_&=|FvZQfuNh=%%o&{YugOs z*>;Z;^;`}*IqHsngtEvb2-<2sH&!1zASB=HAFe;?`Lmx(bP7|km}&>u#Sjv3tNRY_ zd~Vts(v{hp#CScApt`DIxw~jx=CS_ocH+{0^fcuuT({<8v_;)%AF+tfdTw{JSW$C; zbg+uz+f=kl1VFesgwyAC%^QTEX%d+GCKq7}yYk0y8n~Uq>b6eHcCZ~(S1)U5X%&NL zqW;`Kiq)UP)YSB(flz`mrAIq#=|aqOarnNGfiRQ1PPm6!!q@h86nNhnr5eVtc{)^1 z+E|a4>K{(wQo$v=>5b#&)O8-;a9!zKQD5Dx&o{FBfvQbsOy$2CQK z-!=e7omoYsC@l_0_qe@xRG)jEyd+4H` zxrv+32XY3D;iwKG0yYf;gEX*3$Lft^PR~o9(L;SHs6oZYpfi}#$-A<%pbR{pY=jN^ z%*J}8k^|}e^9|pH$-h_!zrtU;KQRz^BnV<1eM>8=S6dr+k>VYt1AqwWh!J(J+KuqQ zdYHhX$Huf){3`00mQeWkpc|j@bo{os%j8!Xp$R+VZf73-+En9~5bzsRv?kO*l_EI* zLee`sqK22)tur#1s_o7bi}k7s!Pf-`hqi&>q`vqmeAu=(USMs9){&N$b|Ad*!~a#@ zcYigNeeFjXaV!jD8w3TMk)|j(NRbjiQ6VUTAia(VNL8uQQ3v@5A_E8rC@57*g3^0% zP+BNLAd!S30tOO73n3Cnc=vTa^IhxvC%o(B7g?<9z2}~@&)&~|o_)_Agb}}TGMPTG z1$rd)S2H!IS!=(9g`z5)tx{c1vd^N-;4EtJN3R}iAM2=X#D=Ft%s-G!9$#>rIx27* zz1FVCdr{v|Hf>i}P+);yJ%mpVSX-LBHLITxX*_ZJjJNfLBQH7l%~t3Hn9X^+Rn8t# zx`AXJ?!D`8ttjO|jjT~hm1p1Mb@)VOu%?;)IwZ6nzVLncs$ss_IP_M7-@EGVCftkq z`YZX08`%5roG9g04AmJuN&eklW@tz~Ti9`9{Pb8KGiU^>xlpe*S$v#} zO)d|4lIT3iZxDSJ9&-dB@QMh^YMPm(gw&AvsC9g(CW@|w- zZD3xhs;-tlxSQU>CkOC1tPw9}4rU3cNd#7q9Al+i;B@LW_u)mjuBfWYetos6VBXWx zt*I;_V$N)tt7IIw>xbhNKAcInY(qhvYHw;0mRe14${sM1m&yP9<9-;iA0(s~oWXmQ zHE~a42IkRfjCVEo({*0v?H5N|U5&q2m`E}{w z0-rBA+!ZRJ{#<>ZvrN2E&v8Y?>>*V&dQ{`hW&qN9=oT5xX+Bw3n(G`-KP0v?wNK|` zI#D*@Yxgm%ZOtE7+6A40{ThszP0XK0Lm1-A>cz2M!{tWXSMje9a}?l(YixYo!mL~R zg{lGP{-nEQ!2$C?50GRd`NU4l9dBkyr7JUpH>tBB3G(A?ezsOw%-GueeIH?``J4Bj zZA;w3?yuU~rfwo6Hudzd{CG0h1ZYU1d~VKSZ_Bty%coz3Vd z#sl|^OBCuHTm_505rOx?Pi9q4Hv}@Tw%)+!=xzTdvBR!xzG0JDzn-;y;J&0;;6mLo zYcBoEhh6RjMet?7cVPxbIb+!tdtQPsQ5(BkAvKH5y;YEME^A>G_4Ntr$JjO?gQcZi zXK$?QQYzi!^4@RXE-8qL?H@i}C?zc@K*EkcyYs>*v&PVHutYm@zB@?N&c?OBj&G}Tb$lrwhzTxH)uO|ieV_Vci^ELYZYKfae-c_ zSbf~yHnZa;#Zs8W-IGRceKNf&VErYQWj(dLHls%i!TmR{i6~|%&L9KaYbCdH>8@RP z6FMpH>)~nFf>dC(nwur6Dk~MbmbTPtBaC#Kg8d*6yIK;^mWEyhiwA~q7AVsZ*W#;f+{&{){)XzdH#Q_L+r=wq+FBGhtY>)h&Up!={Fat4^_76h z_8Xk%m;0)y)!byIdKZ`7>Zpy7+S~t~zN%AS=X4Y$6~HjTn2K-RJhAakz>0MJ?K5u3 zK2d0k6W~rL#06wzSaeKxX=OJ;8i%x5`o-*)aSf^P@_#b_o%z3E%<#XYq|JUhU4$#f z@U@hc&!c{5xvxR%=&glNgQQqS@)_(gPPj=x0Nb6qTSy3#R9sw@i$q>XNlB^pZk>2v*Ezi2>h7UFy@5LMXOUlG`(&pE!6c)39;_tx z!}ZR0AK-zgiap>FzV_G-4Gxw<$Dt3{TDTc8GiJ4VH@?|&`Of15kb6fge@S33HjKI1decXqhBSA*e|Fg9 zal3Q0=55q76Bu1n>?ZPr(8=hK;evQMN5 z9HXVXd#MFkWlHH9b_GTvKjg3iA z%geR!`cIb7d!rD2rJ0)&iSWumJFwp-Y~J5`4>THM`$N+jWP?@D+;jih?cF8^5C||y zTrRg9M;<3-h9Sx3`tM^%+_0D>nNN;EP35+RYs!kZS(;Wn`k@@otc$PH|3woi3 zrlMgIg+kp`|9yZ}mPcAq(}SE27OmH1G=d&_Lr>3H$!Y6nt}>(^FV?Qw7AAy$5pmlc zVL%*bK@tXk{p-#PxH=E(2tK@9e9O=K<9jk|Fot0VpKApF=Dh}!{X|kH!zzeSeF3eC zdZwhUjpMC5q)B0|`g6+5m8i>Ao@80KW6gZ7ygL=n10XwI8gZ~3e|bPYL*(0kw%8>A zV?i=XWrVUmZiznksxkl(K@jeN(&!R;wq|?OIrWISo8>F!`t6j;=}Z~?q16>T!kKg* zz%PZy(#?)O!(DYdYqLPsoGEc!lNAyYlIe1o7Tx$Ok9|m0MmDB#$%e~m1h@*3&OB*w zq|p@i;kHqUmXSTEv;9{1KXNlNEe(?*R^D@f+gRD11=3wO&DPOUSuCZGM(n8>slFDo zT8i&NB+Klc0Eyti+QK2rsB zwZ9LBKDAWY*7C~40AQLKn%~+Eu)rs1^o^|dI#4gt1RLIG@E+5>mpWZ|yl`%BO>+Uf z{q9`@h!xy#vaSlDDaEB;+{5LOn+yu4tpr?a(q3AL zY~+f7eFH@rQ_sSMA~>V&bZL>;Vck6k56+M+`O}ihs;V*=guA0MNpRN_ge1cBKwtQb zvrR)FZ?ELBC{y-SLd0vm?Ho)JaDrR!83GmpeoTJ9;h?k1ZoQy!KfKRqsD4}c`^h`u z>zN7kxnW|G6n?x+*Cho|!-4eYCz~K9fi}2c_ox03PIU&sKmV@MdiW=67^WLkN zS{wRxQ+*oD4yk!#sO|RzZq3ZfN~TG{apV~kjcpJ1bv|r?&cocP!U#-6q&1~F`jbQp zdjg>#vYzgJ1+x_UXY2A>STQF3!w7|ft3iMJ%bSY-7P;xC^lgHZcI@XL&G?WR7v7dj@w=U#G~t#6o25cL6Jh z<~4Si6h0f`Qde5;VTXW#__57 zy+Qv)y=nwNoY=!QBTjwOJRSa46TigYo17`=Mf8y^HpB6 zxM4OGAy}Vgwkp#SE-_DpqVx;SETtber}%n^XFsz&NqQ3 z@c^P%or6YV8=Nz-AA3`|cw*vLz}Ud#E=`NIlV`Fy$K5?^G%LINXG4T)UrP{3!m`@eq@rusI6_>Sq zYQ$WB%s~47b{^jX9BA?DAG_&yk;u34|4E24Gyf7W|I3shr1}IIx=9E`gvy0@vJ^&b zuK6mPEp#dD{D*iNA`i=HZ9Rfqv(v}_#`$%`(L%nYA-Lk!!h+KmQ2W0h6@o&=;Sh`_ zJeMqmpdaWydU9#cfidPd63TEKBj;Xtq=v*kSr>ENY(3j=jRqL ziOI`-2-_PqeDwPVK`%camzNJ9_JpQ!Po)ZFAypDD7wv$0`hP#s7X^_oN2Bf^I(+zJ zvzkM))aaY_wj0)kj~?wn^bZv+Sl2X|0cK{`RY*PotmfPtndID7SRx=^`Dg-$Ue*XBf z?V|pHN9U(F>j*Ca-U5idf>E-agmX1bKH2I-LGL9If3`;&WX_PwUo*2U90IjF=eJWO zw3hM{FVKF5qod^gKgGbKuvH9FNqxNx0}gUUMNR)x(+aO9E{a*jTU7+w`|9c(-YI=6 z+jsf>+e&6hNeMJ!8ztlD!){rF`IkhL#%LK;jFpdi3s+st%_-&g?(wI1KBLuoxkry8 zyw||uqKWSd@BlIbM<#Atjq`fRL&38-pc%BSvqGBcr%BW*PPOK=uaPXdZ~AxF(B|h) zB+#WIS&vK900DlUCF)%xh?>e!V-JSl_g{T^|m7&Pw(A}K(nWWr`dO_-1>ToON${# zc>Sa)z-n@G5=ps$%EUqGL)Osmh|2Zh`{9PDs0)*hVMN0z0>|1Hwh=PAmayAes+7s~7NEuQQOpTj;5F#}$RTv)!>Tj@f(!+p&)sC!XFuQ@Tr}7n6h(venmfOBrMS1PA+i z|Fdv!x8CR7Hh;s!jQTd5jufApu}a>kt0{CN<=4aGqpqJtA;Zz_2Wu@b0QhTD;p*KR zV6TvtVWG_U63wa)Q3)07=t}X1nl7NmL%6fD{wn&aoli|pJtJ$=atdh~;HadEu-@jq z0cH;lfXdrb@8FmE`7fz$TZzNc?>?Vzj@bc^*f0K%tBxgo`{eKVMBY+?Q75S*jVVvU z93&1OOqB-IX6&Pu6_9P_QsP_ZTW6LK!6v{)fzL!pstBx))zyW%u7`gZB#qtWnZxCs znl^#Ddse|CF3wkXLzg zdtyT!QXPdd=HH38NiI08j1Zmmxny`4*dI|}n|lm<)2Fj`Y(h==Yk(H(_XA#urmg5< zBeYu))#Vdo;HD>_B+YeoWv?Od$OZv!>9h$O7{ej zl=2UJ%F`aL&?elKjRv%|IJZqsM?u7!xQKc=g)U~tK<1ZF*Sy^Kv{Ugt(L(ohn zbM3vXOPP#vqQoOj0XG3D+3UERf$@QMSWiCt6|Jh zai#EZ+iVv2)S3tAnh_m7e>NjkhGw&$1kq0{uyqo+?3 zGoQFCi>Z)pL z3M)LrBiwo$Q zn1tYEf^mLHNoc01*TO`MWM`aWn4&y^5d4)oZm^k{J3BMeH8619<7lh3jZHUAB3M~Z z&#mIkn>E~1Wb7f@pEC7zB9H4t%x+K5-gL|2lgPyJNaYvyqebL2(?jZM(b3UToiRGT zmJ(qz6>5!v;A)}~>@u=9A$%fEo%gq2dPYWf$70>%-PzPy3#>)iBY~!-@U<>WeCjy= ztK}LY+p%wMuDhT?3*=hgshJpl$+tu)f%b*o$-=A-g3dbT7ZDNDL!wtsGH9NaRaMhV zX2w(RnNaiPVbE6n24IyN>ozT>m30CE@v2ngbnVYw_3dZ-_V&clG_$U7j z0M#-w3SXB;?C9)}jLb|Tg_5z#8}bi|bRxF4)4sa0NILv1sXAJ&ERj^*K-R;SmQMX0 z&8iCvRtS|3HNyr@eVpLOx13U5xj5FWl+9Z&5j_*pCsei+l10{Jq(3{@H}K_LM#j8> zzP{T}hZ|3)7`jkH16jMp;xG1YOr%J4zIzbkyV$Eo?FHY$cieFV90It}J9BaW6j{a| zjr#r<)Q3H~-+zhv^5c>3zv$li;h&EnUY^;CKty=$!^p;jAGs&r(Ixmw{r?sL{-3)I Zf7{p8U!uwT2fj}Y=E9ZpxN}bT{|Ae~9n1g# literal 0 HcmV?d00001 diff --git a/docs/source/announcements/scale-learning.rst b/docs/source/announcements/scale-learning.rst new file mode 100644 index 00000000000..ffdc60d9fa6 --- /dev/null +++ b/docs/source/announcements/scale-learning.rst @@ -0,0 +1,292 @@ +:orphan: + +Scale Learning: Training NVFP4 Block Scales to Recover Accuracy +############################################################### + +:Author: Model Optimizer Team +:Date: September 16, 2026 +:Tags: scale-learning, quantization, nvfp4, qad, modelopt + +.. role:: scale-learning-result(strong) +.. role:: table-header-note + +How we set scales in blockwise quantization plays an important role in +determining the quality of the quantized model. In this blog we introduce scale +learning, which makes NVFP4 per-block scales trainable parameters and learns +optimal per-block scales through a training loop. + +There are two types of scale learning: scale-only learning and full parameter +scale learning. In scale-only learning, we train only scales and leave weights +frozen. We can think of this as an enhancement of scale setting methods based on +search like MSE or Local-Hessian, where we use scale setting to initialize +scales, and then run scale-only learning to further optimize them. + +In full parameter scale learning, we co-train scales and weights together. This +can serve as an enhancement of traditional Quantization-Aware Distillation (QAD) +with additional trainable parameters. + + +How Scale Learning Works +************************ + +The idea of scale learning is to make the NVFP4 per-block scales trainable. We +need to be able to compute the gradient of a loss function :math:`L` with +respect to a per-block scale :math:`s` via backpropagation. We use the usual QAT +approach, where we do fake-quantization in the forward pass and backpropagate +with straight-through estimators. During a forward pass, instead of a weight +:math:`x` we use a fake-quantized weight :math:`\tilde{x}`, given by + +.. math:: + + \tilde{x} = s \cdot \operatorname{clamp}\!\left( + \operatorname{round}\!\left(\frac{x}{s}\right), q_{\min}, q_{\max}\right). + +Here :math:`x` is a single weight and :math:`s` its corresponding scale +(omitting the global scale for simplicity). In NVFP4, every block of sixteen +weights shares a single scale, :math:`q_{\min}` and :math:`q_{\max}` are +:math:`-6` and :math:`6` respectively, and :math:`\operatorname{round}` rounds +to the nearest E2M1 value. + +To train the scale we need :math:`\partial L/\partial s`, which we can compute +via the chain rule: + +.. math:: + + \frac{\partial L}{\partial s} + = \sum_{\tilde{x} \in s\text{-block}} + \frac{\partial L}{\partial \tilde{x}} \cdot + \frac{\partial \tilde{x}}{\partial s}. + +:math:`\partial L/\partial \tilde{x}` can be computed via backpropagation the +usual way in neural network training. To compute +:math:`\partial\tilde{x}/\partial s` we use a straight-through estimator: the +derivative of :math:`\operatorname{round}` is taken to be 1. Applying the +product rule to :math:`s \cdot \operatorname{round}\!\left(\tfrac{x}{s}\right)` +then yields + +.. math:: + + \frac{\partial \tilde{x}}{\partial s} + = \begin{cases} + q_{\min}, & \dfrac{x}{s} < q_{\min}, \\[2ex] + \operatorname{round}\!\left(\dfrac{x}{s}\right) - \dfrac{x}{s}, + & q_{\min} \le \dfrac{x}{s} \le q_{\max}, \\[2ex] + q_{\max}, & q_{\max} < \dfrac{x}{s}. + \end{cases} + +This is the general idea, although it is slightly more complicated since the +scale :math:`s` is also quantized (to FP8), so we have to apply straight-through +estimators there as well. + +We also have a version of scale learning with "dual scales", where during fake +quantization the scale we divide by (the "pre-scale") and the scale we later +multiply by (the "post-scale") are independent. In other words, + +.. math:: + + \tilde{x} = s_{\mathrm{post}} \cdot \operatorname{clamp}\!\left( + \operatorname{round}\!\left(\frac{x}{s_{\mathrm{pre}}}\right), + q_{\min}, q_{\max}\right). + +Then we can compute partial derivatives the same way as before, and obtain + +.. math:: + + \frac{\partial \tilde{x}}{\partial s_{\mathrm{post}}} + = \operatorname{clamp}\!\left( + \operatorname{round}\!\left(\frac{x}{s_{\mathrm{pre}}}\right), + q_{\min}, q_{\max}\right) + +and + +.. math:: + + \frac{\partial \tilde{x}}{\partial s_{\mathrm{pre}}} + = \begin{cases} + 0, & \dfrac{x}{s_{\mathrm{pre}}} < q_{\min}, \\[2ex] + -\,\dfrac{s_{\mathrm{post}}\, x}{s_{\mathrm{pre}}^{2}}, + & q_{\min} \le \dfrac{x}{s_{\mathrm{pre}}} \le q_{\max}, \\[2ex] + 0, & q_{\max} < \dfrac{x}{s_{\mathrm{pre}}}. + \end{cases} + +During export, the post-scale is baked into the checkpoint and the pre-scale is +discarded. + +ModelOpt implements both forms via the +:func:`lsq ` API. In the +implementation we reparameterize the trained quantity as ``amax`` rather than +the scale itself. +The field ``tied_amax`` controls whether we have dual scales or a single "tied" +scale. (i.e. we set ``tied_amax: false`` for dual scales). + + +Results +******* + +Nemotron 3.5 Lightning +====================== + +Scale-only learning can significantly improve accuracy of NVFP4 quantized +Nemotron 3.5 Lightning. In this example, the PTQ recipe is W4A4 routed experts +and W8A8 attention and Mamba cache, using MSE for scale setting. + +After PTQ, we run scale-only QAD. Plotting the train and validation loss, we see +stable convergence: + +.. image:: assets/W4A4-scale-only-loss.png + :alt: Train and validation KL loss falling from 0.090 at iteration 0 to about + 0.045 by iteration 175 during W4A4 scale-only learning + :width: 100% + +Table 1 compares scale-only learning against the PTQ baseline on Nemotron 3.5 +Lightning, with the BF16 model as reference, on various benchmarks. + +.. list-table:: + :header-rows: 1 + + * - Method + - GPQA Diamond :table-header-note:`(w/o tools) (x8)` + - SciCode :table-header-note:`(x8)` + - AA-LCR :table-header-note:`(x16)` + - HLE :table-header-note:`(w/o tools)` + - Tau2 Telecom :table-header-note:`(x8)` + - Tau3 Banking :table-header-note:`(x5)` + * - BF16 reference + - 76.45 + - 32.51 + - 52.38 + - 17.47 + - 59.65 + - 9.897 + * - PTQ + - 73.3 + - 33.42 + - 47.38 + - 9.361 + - 59.43 + - 7.216 + * - Scale-only learning + - 75 + - 35.42 + - 51.44 + - 10.19 + - 61.07 + - 7.216 + +.. rst-class:: table-note + +**Table 1: Nemotron 3.5 Lightning, PTQ versus scale-only learning.** All scores +are accuracy in percent, higher is better. + +Recommendations +*************** + +In general, we have found that scale-only learning is a highly useful technique +and outperforms traditional scale setting methods and recovers more accuracy, +across a variety of models and contexts. It improves accuracy more consistently +than QAD, which can cause regressions on benchmarks as the weights shift during +training. Full parameter scale learning can outperform ordinary QAD (i.e. with +frozen scales) for many models, but doesn't work for all models. + +A higher learning rate is needed for scales: we recommend 1e-4. A smaller number +of steps (sometimes just 50) is needed for scale-only learning to converge +compared to QAT/QAD. Dual scales sometimes outperforms tied scales, but for +other models can cause distribution shift where tied scales improves accuracy: +neither is universally better. + + +Using Scale Learning +******************** + +Scale learning is a training-time algorithm: the scales are learnt during +QAT/QAD, so these recipes are not usable as calibration-only PTQ. + +After scales are learnt, there is no deployment cost -- learned scales are +folded into the exported checkpoint and are the same FP8 block scales the format +already carries, so the deployed graph is unchanged. + +To use it in your own configuration, set the ``algorithm`` field: + +.. code-block:: python + + import modelopt.torch.quantization as mtq + + config = { + "quant_cfg": [...], # quantizer configuration + "algorithm": { + "method": "lsq", + "learnable_amax": ["pre", "post"], + "tied_amax": True, + "scale_algorithm": {"method": "mse", "fp8_scale_sweep": True}, + }, + } + + model = mtq.quantize(model, config, forward_loop) + +See :ref:`quant-cfg` for how to write the ``quant_cfg`` field, and the +:func:`lsq API ` for the +calibration entry point. + +This call configures fake quantization and initializes the learnable scales; it +does not train them. Continue with QAT or QAD, updating only scale parameters +for scale-only learning or both weights and scales for full parameter scale +learning. + +The shipped recipes cover the two variants: + +- ``modelopt_recipes/general/qad/nvfp4_lsq-mse_init-fp8_kv.yaml`` — one shared + pre- and post-quantization scale. +- ``modelopt_recipes/general/qad/nvfp4_dual_lsq-mse_init-fp8_kv.yaml`` + — separate pre- and post-quantization scales. + +With the ``examples/llm_qat`` entry points, run from that directory: + +.. code-block:: bash + + # 1. Quantize. The LSQ recipe initializes the block scales with MSE and + # installs the learnable amax parameters. + python quantize.py \ + --model_name_or_path Qwen/Qwen3-8B \ + --dataset_config configs/dataset/blend.yaml \ + --recipe general/qad/nvfp4_lsq-mse_init-fp8_kv \ + --output_dir qwen3-8b-lsq-quantized + + # 2. Scale-only learning. Trains just the amax parameters installed above, + # distilling from the BF16 model. + accelerate launch --config-file configs/accelerate/fsdp2.yaml train.py \ + --config configs/train/qad_scale_only.yaml \ + --model_name_or_path qwen3-8b-lsq-quantized \ + --teacher_model Qwen/Qwen3-8B \ + --output_dir qwen3-8b-scale-only + + # 3. Export for deployment. + python export.py \ + --pyt_ckpt_path qwen3-8b-scale-only \ + --export_path qwen3-8b-scale-only-deploy + +For full parameter scale learning, swap the step 2 config for +``configs/train/qad_with_learnt_amax.yaml``, which trains weights and scales +together. For dual scales, swap the step 1 recipe for +``general/qad/nvfp4_dual_lsq-mse_init-fp8_kv``. + + +Next steps +********** + +Current Model-Optimizer scale learning implementation only applies to NVFP4 +per-block weight scales. In the future, we can apply the idea of scale learning +to global weight scales, or (global) input activation scales. There is potential +to optimize these through training as well. + + +.. _scale-learning-references: + +References +********** + +.. [1] E. Alvarez, O. Almog, E. Chung, S. Layton, D. Stosic, R. Krashinsky, + and K. Aubrey. `Introducing NVFP4 for Efficient and Accurate Low-Precision + Inference `_. + NVIDIA Technical Blog, 2025. +.. [2] S. K. Esser, J. L. McKinstry, D. Bablani, R. Appuswamy, and D. S. Modha. + `Learned Step Size Quantization `_. ICLR, 2020. diff --git a/docs/source/index.rst b/docs/source/index.rst index d9e23426792..28d871447db 100644 --- a/docs/source/index.rst +++ b/docs/source/index.rst @@ -16,6 +16,7 @@ Release notes, technical updates, examples, and deployment stories from the Mode + @@ -28,6 +29,12 @@ Release notes, technical updates, examples, and deployment stories from the Mode
+