From c653488f1188ba253e7c76247e25a8742ac3ccb8 Mon Sep 17 00:00:00 2001 From: alessandrozocca Date: Mon, 30 Oct 2023 14:26:32 +0000 Subject: [PATCH] deploy: 5a2e66ac09055885d482cd7e6ec030965f9e3e8e --- ...fe625c53cc1c870f472a10aad3ab3f4f4bc54a.png | Bin 0 -> 91194 bytes ...354f3254dfbed380fced6b61a3109abfb356e6.png | Bin 0 -> 95248 bytes ...20ad711d3d54bcb8c8f6fbbbe75f23f0d272cc.png | Bin 95430 -> 0 bytes ...6f478067023cb5a7904801732b8888d399a30b.png | Bin 87685 -> 0 bytes ...6d19e7987f368803a920a10b3d4666a7fd7653.png | Bin 0 -> 40271 bytes ...cc21e84cd1fb288829dcd33ae39e51b101796c.png | Bin 0 -> 101802 bytes ...f3f3ce860a31277b951e6ee529d78ca4fd698c.png | Bin 92720 -> 0 bytes ...d34090fba6c9b36c5c464c3b435ace93e43950.png | Bin 8633 -> 0 bytes ...c6548a59d12410b712f73fd60501cdd16c7017.png | Bin 39069 -> 0 bytes ...099f0cf7b2b91588475abba3f1e1aaa3933d22.png | Bin 0 -> 9247 bytes _sources/notebooks/04/power-network.ipynb | 2 +- _sources/notebooks/05/cutting-stock.ipynb | 448 ++++++++++-------- _sources/notebooks/05/milk-pooling.ipynb | 23 +- .../notebooks/05/refinery-production.ipynb | 109 +++-- .../notebooks/06/building-insulation.ipynb | 38 +- .../06/economic-order-quantity.ipynb | 14 +- _sources/notebooks/06/investment-wheel.ipynb | 244 +++++----- _sources/notebooks/06/kelly-criterion.ipynb | 27 +- .../06/markowitz_portfolio_revisited.ipynb | 12 +- .../06/optimal-growth-portfolios.ipynb | 15 +- _sources/notebooks/06/svm-conic.ipynb | 22 +- .../08/bim-robust-optimization.ipynb | 79 ++- genindex.html | 10 +- notebooks/04/power-network.html | 2 +- notebooks/05/cutting-stock.html | 443 +++++++++-------- notebooks/05/milk-pooling.html | 12 +- notebooks/05/refinery-production.html | 104 ++-- notebooks/06/building-insulation.html | 38 +- notebooks/06/economic-order-quantity.html | 14 +- notebooks/06/investment-wheel.html | 209 ++++---- notebooks/06/kelly-criterion.html | 29 +- .../06/markowitz_portfolio_revisited.html | 12 +- notebooks/06/optimal-growth-portfolios.html | 15 +- notebooks/06/svm-conic.html | 26 +- notebooks/08/bim-robust-optimization.html | 74 ++- searchindex.js | 2 +- 36 files changed, 1098 insertions(+), 925 deletions(-) create mode 100644 _images/03bf1ce5a2ab3de0434748d377fe625c53cc1c870f472a10aad3ab3f4f4bc54a.png create mode 100644 _images/404a94c80fb0988c8d2880a63c354f3254dfbed380fced6b61a3109abfb356e6.png delete mode 100644 _images/484c61bd73cc5c06ca23607d4520ad711d3d54bcb8c8f6fbbbe75f23f0d272cc.png delete mode 100644 _images/5f426630cb73265257c98cf49a6f478067023cb5a7904801732b8888d399a30b.png create mode 100644 _images/81dad44127e8d30b02fd3247a16d19e7987f368803a920a10b3d4666a7fd7653.png create mode 100644 _images/90342aa5b58ee60ebadcab3b6acc21e84cd1fb288829dcd33ae39e51b101796c.png delete mode 100644 _images/d5d87284347eac25c76257fa9ff3f3ce860a31277b951e6ee529d78ca4fd698c.png delete mode 100644 _images/eae75221b1f98f0b6642558e55d34090fba6c9b36c5c464c3b435ace93e43950.png delete mode 100644 _images/ef1cfc5ea77a698751bcc52294c6548a59d12410b712f73fd60501cdd16c7017.png create mode 100644 _images/fe7b407e870cd5716bccd82140099f0cf7b2b91588475abba3f1e1aaa3933d22.png diff --git a/_images/03bf1ce5a2ab3de0434748d377fe625c53cc1c870f472a10aad3ab3f4f4bc54a.png b/_images/03bf1ce5a2ab3de0434748d377fe625c53cc1c870f472a10aad3ab3f4f4bc54a.png new file mode 100644 index 0000000000000000000000000000000000000000..d60d9b4d19d36a3548ebe4a172e310bfed47f2fb GIT binary patch literal 91194 zcmbrmby!th+b;@82na|wC?Fu+9nv632-4l%4T6AlNk~Z}-QC?S-5}lFy~lc<_xrxR z&pFrr=Xkk9)?%$W=NNbV;+_P{%Sxai5gc4-0 z!N%T%k-faS5PS%tt)!X*6cm~s?F4Fx47Dx~C^e9-KcO!TGx`MG5I`e^rP zH}Pn$lFCqS76wU=y-pJguGv1=b%{Z5?B+55rWvU&T^oD#BkU@ftpZl7`D;VWITy({ zAFjUEq!xR)uQV2Vc~8oWIvP_Z${0s~+kSMPqTN-OP2u^X=#=V^I(jY{l1cp%7RKkp zo7dn=JM0+IKGJ`G?|aSBkq3GH-YSXAQ0A)ZhYx6Iq7X*l=2tIS@d%Ma{|6nYpEVb`Aj&dn%ZA4r$QcE9}jIDR=!>{Tg_Kx zY0rGl?{b>a>iwdkjO(}nimgFsQ>)DdP&ROUMEZHQNupN)<{ZdzoGutP~yW` zd@GT|3Id7iH$^#q?82##!AgLHtm_)Uxk_H7l+l_LFK6N(PI6g5 zM(5L6gGl1D8=dF78P82xoz=`x2K~eN>ZX$pWKFQpzbDLEZij7@4?G?(XU?0CzedV= zoyB+_IizLDQ0L zl`74rXu6NDY0FiMnvO&g1%eb=qeUvuQrBF0RA z*ViZ7c;7E<*w=?V8mevG?Uz!$eyLlos#&an~Nyo>~4^u@zt;4 z9@6KVUO$rOA=c5?sDbrsA+$8prD~M{N;KW%k$j)EUCxI&6*V*l*=IEUGN}z3RET90 zvxYUlKCF`>=q}V)WyPh9ZcAl+$p&0peNtTu=GAscT)BavQDB_pSLQB|X-) z>(}@7m(vuhE-o*^3gq1Gc5};B>1HiCl79WF-;C2hRgVMvC4()j_|Fv%nX*EO zXGK|Zc+46#KVB^?dK@=!fv!Wpld zo11SuTRL0BzrB-=`!hf9-uGAnA`^XvHMyjO0qVi)ImpVZH4RtWbv1p{#mOmS%3MM- zuwA!p{q*%Kc%QfAJK6EtYrDB=TMhdqS>@$XjmIs&3QHQ0nzcvcTOT$%X&mT40;Z); zncr?u396NQt#0o(@y)yBg^bJKc>3xy$|VLdx;AIKK+rb{MY{KhoInkkdGBg6kD;L6;>b z+?AUi&IE1;&h=l>^GZtvcdC&d)Uf zleEooX-57HX3&J0)c)$hW8>h6XdGH?0-4}>U_ff{^lo|Ft zgWu!o1oZNkX`{Vakpk}W$@n)*qIfVm9G>rQUaIxazAIXC(LSWRy4s}3BZK!Qb{=4ajYvd7>)=mn5$N#L~6c7tED9XL2T+G;u<5y=`m z0p%{tjOgO}Ix=DIJr>f#O|M`ND3JD>1Aa9z|0eRI6hK9kiM=EqMMQdLT(rtXT)+R^ ze88bs@7kLxtY44d4HC~vw(G%fdb-<(lsiq=RsYQqgHNAOW;7j81fOq5Z)bZ2dIAM5 z-Y$FHTakDiFgI!2_}|C&8?J%VSO={JVdZ}Ly5~#emqKM`?qZr9*iazK(bUTI|7jKgr^N5|hTs%{ ztp2R5j6PnkjDlRRKkXsRFD_20y21jz+|Dj6<`@x#_cBLGMtN## z&P7|l@$vD@olE!Zj0~art9gr`mK+-8I_0WLE$1o6)YaA1A#;|>BRu&;%urJfanBW$av~2`#*zP@=%shO`Dx|s4%E#ixAVH2wb0wA>sGevRw1g8Bo@{bbaEAv_hGUM-th9r>ipFX-}ZSvwx>Ly?AlIE*<^o0?=bD4s|LNgniH2FCQhjFzzZAr_AggVGb0474Z$spma^RR{+ z=~NAlB*+{k`8}MFGtN5=r10$F6*8_-&8RrRC*;s=FEbNPBKtx6p%51c$}5lsk-F^(GK zIv6V*cRxP?Iz+T@4xwj%(|)XLE1rTDay}O675m}MHwr1fo4kU ze+sE0oz_%j#-_5SBM@|3pjy$Hg#R>33Tgly$XZO=!$y!* zy=H_agUS>AAj{+9qbpx(NSDGtX9tM}4`ML|NeT>D7-+U6@?RFNauzgaw|s=0)0(#B^m`qMaA-#oScBeh1wSYlMMj2l3nrPzM!x~zugxuE6(Mx zdZxnpaQ^IAl@2s>a$c7sKu+bB{2yXIQ)9VqC7M70y?gVMs>=3Pf76A0v8v zudR5igRW9|L>FXjP1A-RXA^X?3ihnDO-j063=w8hD5#+OxvMz z=<6y)fFj%U%m1Fbc1i0;qyKLolWCQUGuEOQ2##XHviK0`k#W@yI;d&&JbK4|YAT7j zg$0%75jfCngA=Vy(`iqXvI2xBLoVNSmTsBEUgh`64EElfwr8a}FRMYKgAJy8}=N!J--6UZ?+X zzucQzbQtB=wC{g+ad~;VbnF#>bYzXgs67OzzkqNP|IgTu?~wdE6nIze{e?5W$>x&( z8jic9J$`rL&aYm4rK%$G?cE(|0@nDhBez52%CTS%J0O3M1?F;onWc}_!>Xu2^K$^+|0O3cGk8?<2Z2Nvhyjp>1gUX!>QzDKqk^qO4Ni1> z`}?<`Y7O;-6V8?Cy)a2}!g)SpeC~*&*MJHVB};amHv`QRf-Y*Tmj*_?pBw-u6py_G zxbOt%7)hW($o8`X4FAvZR$hyD+qJdGhotefq!fBR;|RKW^4<&QzZcwopPSqPLDliz z-ggse;8X#Af&v?h_X^(mXpwu<34a8_*Z^Y{1A%D|`h4$U?Mg(q{wind?XXbfJ*W}` zaJZUnfUqXATi`$tOZl8-)7@Sn)B~VU85tQq5Rw%m%M%EP>6C8YA_#=?L?NqNx zfr0pe{mm2Tkp|W3gLCcPkNY|fNA=q*0RD8+T!VG!GOi?c1UP~4a@JE|6f7h+D0l<= zYy>FaD{5)e*+AVsK#c%VKYgJ2xi+aN2lqE4kVGG3qvxJtTF3TzxnV!X5ddxIy(J(M z(Y$Xuv7P=a4~dAP9;~r?ekt5b&f$JMEf#F`D}oBiEFrqN{^jizi1}-Y&7)Y+{%BRa zySR3F0MO0>5j1{L3XJwcX9ob^?18xUg~$OwtBJX}erd*LHsgAo+W{3w=SOot`tXKn z?@pdtG+!w*Cnrb$E5MfvwKjqq?9G7PC%fm&DcJ(VPZ6WY$Zv#*U8gh+ozie9GSF!yQ5HBM<)I06m*SO7z#PR?Lzp%VQMrFX$Zhrm1Yx^`sH|#08?#tXCLLi zCOY357Kt+g8pR0Ere3y1zmuMAa$~Js@!|yqF$a8%MM-@CNIHy|en*)-2xS5%ZcB|Z z2ScddS+rm)=${$3Vy17Vi2X&mQ|~9{u$Y_Gu|~Qk1K#0eas$zJNln1VVdi!5SHT`{AGpybS3*EaOG(2=hEA?L>NlH zIHeXzG7Y{1d(2zdU48fQz4yj65pOTQZ265SO{yg39xQ@-Yqd~gH%MQ5QmFHY1eH6{ z&pOK2S!1%)cD6r|xCx;^ zsRd(M*Xz1*WfMYnKFsCe@ojyGn0zz?m9$8^Icak+-T{CEJD}Oce9W!` zTFT%(L@kAYE6}V9nvUizN{yxpz5uo!ElE-L{B-YjHD}@m+BVe9{7g$v2sUjUSiyRb zh;BfYg>b$)@PGok?@*dxYbJwoA$DXhtA6vpHLKllB5eRO%y=iv_$Adj_CgpB3UquT zPkf?!E~1}orx|OL(I>G-ST^kN2yp?v!%ojon@=Af{S}yzB&73})~e59LUGQ9LHVGN zq7M1|bWMdzpUe`)ktZ$&DrAyH$@@|Vo)nPnfFdetUjv2XpO{J<^@NufDe(e@DyhO< z>;JR$YrkDa^%p*vQ#1>^yt=ZVGm0OZn)096H3XU#-)R@7kyalNP9Q=Ygn->HU$;m| zOCtm5%9{3gV3K>F{-2hJ`kOpDhbpzxU@B|MbP_*UH9$tYWOmeQ3ez?bv2Mt5dv5Yl%N>HXk`O{)xb0ygM0+{V-3yP7`Ey@8%DLPqMLY!rK?T7 zHgeV)SNfbqN(Hr?L}AV+0|}St>~IF-DIQ8CSxOy!5eeGHySpEu&P4DkZVMh-hWz;d&v$ObjNl^J3mDGL z1Mw{{O-)rJq-ZI+@sEP*Uo#n{ctG@)6K zvY3>QKT6uo#z^hDvc)CH(-LkG-6xuF=mcPD+M={an2ju$dWz)^Q>)JYmGmL2&&AM> zYxGoJ9oW0@_TnS0u|f7i^h6QWUlxUJmi21qR4sM$UD?O!8dfpn@5-sRffNEtu;qZ_ET}eUWdB-XqjSFDHU9yf^v{Cl1xt3 z!&h%AM;>BGDg$FHr?K&u(O{fiI~=ZVwR)t})PD}~w2RMBaTI181j2G#`W;sKa)B=E zuIl{8)^D7*5hTcJ$}h9+VYAenFDXn>a)Wb_f7^>;wdKXwF1%7&2v24n92C3|TTcD$ z(0Uw>)VdP6a*U8(Q-f1FBkk?o`ri;c0=-^e>JtfW{~v7Ly1x1J7*`96WaCKxZ-b6u z=AIAHv~fEj#%9NImCaN_HhdCvif?pcqbSPoohIvt+3M+sipoKmIZ^+jQjX7XGet2a z!YZ{XgFh2mLvi^zhXUnc}xEfdkzWVCG)+PYn8aofra{IB3F4Ti5BmEU~J#M*L*(2!Ou5jLrUjC}T&wecOE{vg1u_N2% zbB>8nW9MK{l^-<9%uw6Q*_&g>;HE#Gq|1CKO<-D27ntk7pVoLivA4!doq^n%(r$od(GK0v(+ z2UgA*Fg6u{(^jI@m{(9h6Mqg6x00d43P5q-6H5O4{ijwjL0?@^x_mPG|S+4=HjtqiEpdg4blJD##;376R)3q&d9~k1-fe5ytv2uq4 z03RMu-54Yo;%T2Fde@<_kl>K~g}Yn)g`ve1ei-4al_Xd2(s4YZ?yeR>Bg#*D>omY^ zX0?9re&#u~M{5U2;AY4~pcB~MaBU_6=lBqHFZyFPQ=&{&Z7r+AmJA>-#1Mn(os&HL zS{q6YdEWIovd#?*0I~3Yfl-7FIk$f-mxnD*3Ht3Z3DV-5M}VIKfDOLvx{e|MWGt8y zpb94dl?NE&C1+lrK7E4PbnpOLjy;LjjUHf2BM1T~KFr7Ebc29*XUKmjoQh}|E!RD9 z<3Fj#mO;(@nu|JC1JN|zi!zj#a*m|p9UM#l(XmN$XoqckJAAvt)7DRVn7_ z{DL%Lx7&dIZzUlj*YJ&24pNj;zS3_cg61LbX%m++`h~lRg9E8QX*91#vEC0Lts0`L zDcB}l?65Hnnru4ca;#PC4EEC62mA7gXQ47BTDb$!0D(Mhw9;-}9HJ+l@q~+a0TNki8ne-n4Z1wB@%)OK|v71+1{4P-@dUTsg$@`Nb z=~ZB<_-7j4BBVF`p4f=jo`x#t-vu>n*L3r;r^bvnSJ7#D#Jshmon)9TjR^37LvHuryMEDCaJ|Thw z0DngOJpj-50+B*I_J71VS3X%0kr%WoB}B|2DZ|D<4DL0q)MNQ1!$#43`X&rxNIIqR zN7=D@r2Ul>Ce6J(D3nP4FsOlkfZjYqthde8K++slI(?SJy5p96h#OQxdNPjcXE>B8mRWOo z%WBcS`CK`|VW3i~yfk2zaXo7|vAs9GU(q9}LFN-tnkyv?k`g7u9Q2H^tP!I2b8 zR!>hwPk~69C057k$#1PekNG@2G%!_jSGN=sCQc5Fc+deMT6BeXvvw)z>FfB9?F-}Fefbh4L)mZ00xDDMDumPnUz7?b^b|NOaDdc< z?;-w~y;xa<;>(*T`Zu)c6Cb(g;rWzbuv%EMc@)8F8W&}4 ztaBMPL@MS)mT(d?#@sTv$`N8~m*N&HOUud0b>IE(YO`vkG0LecQSOA>?w4KPnb2(Z(`OM|xKYgU`(rVuAE=CcU| z#Pc9~U;^Iu3O=<%l13y|5zq+A(ADxgzp+I3i~#c=gjK5 zkXWga)Dd&v5>Xsu6lW(a?>d7qN`!>tDR<%{=;MGSLFeLE3LSosE9E%Xt%%$-DegL~ z7HJ^G(0U=wiBLZZlaC&fB1;7( zt6l-Ka=l`ZLD3?E8lXx)NZL5^d}1Tm?8en0s$47uLtvVor`-trE^nCbUbc%K=VnrC zI!%3ns1qh>U*o_Z^m|B=Bkvdjic%%rG|9-4%S!m@_Bzn;PJ~J!Qhh|MU-urVBYA#G z?RU;FXpCKLf+__|27E~&%1nl4jj0s+RA}-}v>JjxExCfH>zNSx9+%x?mSnqKO&(2& z*AJqV`hy9ZG>b-lROK(n%_!HjuZ9Rb1baCa_l?wZ)YKL3f<+`w`6*}>uXcZ!>vlE1 znL_qwyEy)WD<2+W`im!P>_O;cH0{qN5u)E*yv{P_nh#`&jgt6q;@Im?=U+{7$!y9@ zXN4!r!AHgNkOQLnT6SxWGz3!`_m9QfMB3;+9JGZz$qmeeiAT1N@UNPA-&60mUvkWv zf9V`SPjI}hT1_l+xukfRi`2ye2S6lsEY=V_aYd1MRl`Lr<({T-a@_URt2Mjl9x2Kg z$h5?R$4bjr%lRtA+J#TRWC9ZvM!*=M(`iYDNY6n0OjM#_FOVK|`LCQC0!=6O_^3we z1>*Lm+@J%_2TIfJK*qZ&5NKQH%Z&ViB)z4zDvgr!>`#fL0e=QcJH%7;@_syU(k z-xMaA5l}9HPtFO@qj)aw(K8>!#QRacB>AEAC%m}#@J(QS)KEe71g1@Tk6xFek&m#m zDJ$_KnJ8a$M7;ZGFM(>8?Zy$#kNo~_2I1(;# z;AD?vS2w4;8^QOqS0;A~H2VM_BSgaZb0^$MK38&fNShj4iSt6Wu_0!JYjWE8S+6k{ zrN#&-G$W}LhmYoz`-ZaY^5Hy)k;C7HcgUh>f6(?#@_h2NSK~j237igV!R0#g_(aHI zsk=Gwb92Q{7|7!)z&yK#%#i$;|Jph1cIp@XPrR zZjvR+*blSM#LjT1$X3i*idEDO|KeozxH>pHhC{|V+4^N8tJd7(ASjaY8a(;_nS{+2 znCn9!6-O=i)&ke{qtFmyRpIsM4v?~X%XRbd*!XzIFz3n;WNatI0Af}DnV#+e@bxyo z{)5kl6FD&nich_Nsq0|cO^pv!AHQs!Hb(7y`fII#`_0q5uPw+$NC2^)#A(-^kWKx! zBtm6_bDI~H%=2FbhsT6h@T~9%S@?he+-AyTIB|B%_~LkwQQN~fA04~lS=3ypcBD6gjLtSfKXS)7H803i_IAjmrFN6YhM4@%c_e7qMkKDt8De&wA=Dx#9u%4)l>+UB;Qg{*lg|o!H=WA_9 z>FMcvzf7j}8_ScPLOd5RxdHZ24Nx^SnU8U1YH`86>tM(eo3_uhgCAC+k?0+2+ z@>~*68;7vV@2J8xh1nV4c|Vn-ZqV;biQSjom}I25q29>i?XjsX_G%esiVW}I{l;j# zK5CCX%+@AdzxXElGrJ;7i%A(hZqadoVg8JRC3~Po8OvYg`jR~3&q2BEX>j=FNFp8W z_vm_iV*SJc*C*wy8on3>x`78X140|CrQv+m!g|vhANBW{HD7nXm7Vh_8ksoRit^3F z+dRrT#jw=t_HgfoDP~GLIS@ur_;m9s^}JnNLY{QcUS$j`Cw0qxw2=V zA}83%6QO&IJx={1B$v)P(u8Jdut?l$uDGB_PuSy|9{=X?;_8uEu=Nz4AXBSfJ3OkO zTx(@KC%N*)5f4`7FG(6XG7TaOwO^O6MexQ`1!NYj4)$8zhH5GK9ws)tT8x4pU~#p* zF=^%0McZ@)kJ^3PT_$bP76wXNT`9{|Ej1N5(0c3y747J_%#Y-bp*d`phe8=!`kwE- zpV6eERjbXX>dwU=GU^yv-22yI#;&>iAA5Tw%1wBstZMW$SkOvajRtr}{1~`9mn7#q z-rvQz9Z>QIYoh0>jpA1pM#{!%WDyq}%Jctda-0#AziO2svuL9k+@n79DIu*%%80T( z@9Iz_LG;s~ZcqGvI<(^`bN(|6`O94Oj~z<mz3r80Hx4FDSX zvLG4Widfm-2M#f4-8s<|#i&Ldxo@KFnEFnW#VYZI~8%_RBO;aj7Irc>g_OQCCCkt1tVL28z6 z&j^z6$n-UmYI-!v3J@r@3!RH+^N&DGcvzxbj!^z2N%Z(}U$(;z#cM(n$31?HrJ-jk zP9nvxF88Otkp3zISq2G-mpdccwW}m866KO?QUNin=hP%u@}%3rP)WIhiV^-46Awm( z|9Bf~Vm57#KzwjSvt&IHv^1;;*GD~R!V8|>$>6Z9y=ffTv6uwalIk&FVp9{bXIy!F zyFYGyR#g!KP)J-p8rvPSpsn6PH8-C=nM`qV{BK#zpo!FF^(wvpq+eCQfGMxUterqC zp;Sz72O>08MJ9-M`>lgL#NJ&&{Q{GWN&0t$D?y8OSi^{9%H=42Nl}TCZu4P(M1SOJRiWdC z9lhy}h$G8a+&s{h_o5YsgLJycml;l@aUXHDfO;Ws;;&2MK*r~Ap2LJ0rEQi8{oFGW zX$;loz0Zvwh|%RPzeEJ#j=x@hacI*PhamJ`c$n`;=xbFZ_)vGj#feF{H}OO)Oc+aG zqna07Eqb+`bB1E+rV1E355x;s)5-Q9J}d{1m$iG$^fPk5gN?R+`AE5{ZsD~g!of&m5}+1y@zj7a>9 zKw2s*Z}NWCQORcnZPHg0IVo7eKoQFy2>Z^p$W*kvPvR-?3m0&fF+_$H&1^gRv&Gry zJW)l4nHmL@)QyNZmK*FMB-qig!`ig`8T}qqh`^}ml7V;yMBcBqtblR08*D_&lTILY z$Tp>t=qARK;!-IF(?i#TgCdD8d68#LP0lmY`8{!chl_OJok`gQ$By`!kJ?lWM(%Tv z9s9W2wO;D%rs0>tdbWFnD*MeoQNOHRtrx^gGDe1EepY?MIX{#a#!yxP?|)3(Swx*)Te*f`Zp-GxY^8>(tB8LW*d4 z*0g@eMWI-)mk&P{C~TU4i$nXong4!9kEwt5cgEPO9a?xt-|V$-QRv^br+~(W!vooI94Soc zZ7I}O%6Lu~3@+@(&7#j&&3Mvk1fSju)RaZJP4P_e(=U}W@N1wh@S~*56G&3y4ZjXE z>f4}oD5@{MJ9F4AFBsh%&&l9>V;zq_{wR9SvvY7nIg9%?RzZH}#T^vW4hn1&0}MO+ zBs>ArTypZ?Dcf_3>a2eSep^iz>LTJHT&9Ftz1NjOB5mB0!K7HzvV}Eqf>qUi#2FzG z4%cN7=K@YX84>5Y5^pBtn5V_iQW5K;+M+-Le*XB65591y;M{rxQ!h_j+Iq*g^*Jo* zLnuLjau&2kb;AvAK?y0?&{KxX=Ua;JE}bRbZAVmJGVF$7RPWTB*dE^m-+(ewHu5=6 zYsv2FA{%IxqO5RL(OsGFR3Oe726wU=vx19O%tQZR4+8ENMIVbwQvol281&1TU#K_( zv$#_zr9S?H0qP*zvmx8#&7Zvh*oA3x>a8y#Bc^@@K0mhS5*l71)zBYhz`EBEd?~ZC z&kJ4dx)6=MGeu)i!5*^y=93r$c2B7Dp{=YQ^;~{-(fn7GE}erYyj@mS)KutGHeH0k zG~za@p}gVJbeg`0imyD299v4RJOPFpXWcN641m#r;<&YaG95>Ax&c^kH^I zIA>g!KfxnuX>?tKXKr%7cg>j8$q5B^o%>E4z34uf5(bsrYerrGOTO=?{TtlfUDeSM z;SgJ|_gdxnz`OZePxGT7T|K}P0~Zk{i5mL-_n9AJRe}0Dsx&SATzI%hdyLEs|Pl2z-A?)k9P32 zrij)ADNv1p(mhSIvg+jZ3DuM8%x+7;B+=5vT!dRSO?#KbD-*cgE|Y-8_qn2E>)RN zAEJ=^HifaADwZs61alNeAt1EK3Lf|oW@oC1buy~2etNGxWn6*Czy=y*XqCr5yyjI*VDQlXS6WIHhrrWvKri&aH{3`> zs)`S5KXi;}Kb7*zB5!Hlu?_?@x2XKWxEbeBZ$~C`j>sp$ zACKW|i_X}M(=~JJ@XXq>N^lHtNrofC}2d^tLP5)}IKN9^B^_X!2TzctJ9bxJ0V6rhtaI> zj*JkTHzG}5#WBM!ykNB+b9T10Fw&WS8TZKKft|WHFEVn}oQ5|awnvPh>j+^1sNTLoXs%$aW2gv{40joIDE;{X};6<=#Y^bKU zol4k!F zrpeGqUZfiLaWF2#b{gM60E^WLLT*2ZVkU`CZjUf1?o@JqZ*Gh4#?%ss96wFGU@B!h zBvFQ7;+VQT-AT&nDF4FrMF`!q+m7#>Ux(S_JtY$xE)= zsp9D+dRS4_2n7f{4G0u#F`2|oXU1r|n$X3(K^8}eurN+9f=9!!8Mwvj?YA<0g_Ba3 z=`Tz(rpFv*Jg*U)ND1eK7tgO=P+;0QH!b#`8DD=tE#fuh^J?Hqx9xu+q^v zn0%Nhq?I1g;7F=kkg2mKJajSl z;~TKyg;eMQSB&)S*1I~S1}la{Y+O#2HDGhq5KM!NCpTQ)spZHk{W1L@JS=lmLtvYT zg6Bv8s>J1&0-@*Mt9}=`NYpsQcbIhP!LctSFQ`~yJr;IkTwafuDdBR(Aj`;xao~DI z5=?$b-C8ZBr%ZamO7Ol$t>8eSY`W`Tm4}K-F;-zD{oO^ajY+OX}GI!L! zuk{C;m{;%Z-+;+hxYZ{x67-a4iqdNqX=s|qA_pcjW#ADh-N$12u#m6p8aIgg^2(o{ zgYm4yO(a}=MQgsz$lKZ>=P)O~?j^7%z#| zc+IM^T&*q=2@v-xFKV8`KW~Xu5U>vCFHzr8q-1kD2Kb!Z6y{zW{;oRaw$J8UTCU$Q z@rvC`@_(_)n`<3lApZg@%y@uR{9eS4#UF#RI4R$i%#FBW_w}7;$hR?{w@vX65fT{| z4%x34_IO=Q$JZsvE3$Y8&{A9DO?e_`tT!gjQai0NznO9f>z}X8qDM|V3zH5{ky1sM zMbcDU&4&TnH?~v$Sp}ULv7jgban}Z3q`5|7obN=O@OgG#S|P3+|8l6HT)~L_4K#dl zfO_qnH4vxGBVw2@bn7jXhL`ZS;F6VQl*dTUF@`2FmBtN26n+?dc=a3hOA?(^gDgw{ z2Vb;rtlc-+DLyT>;*?O=tb2kT+yk z|5D!ewER*oKr`^GT#qmwHW`FO|c( zh<4R}==;!Wt}wSPbIh(P9J1)};4ng}P_v3?;o>o$d(9q;4ZWib|WU4!jtOZ$rA~kI#O|BLQj3K|H);0)J?_s{B%Mbo1W$WdzT<{w0e4aJ8$1a~GN}UoZ~Z8c`7si7}^FT^`jG86&Gfb=2;QJ}J zBugz=x)iQ(ck1a698h=a?Biq5R%PsX>-{FFZ%L8Y3atP7PQ-uSE~T}JH}YTZ`q9_G zYM5YjZi^q(dFlW+y)yqAE>bP`1vfiUfqSqU zn;`dDtN_c}?V!9@GIwGqf!PmodjXjGmFvz%f>j)_g*ISHdYhVmAy-RKO=or?|AX<3 z3iWC=K4c2{ySVCmei;hF?&G|*i`~l`%bfnE*lRjsboPz>xpZi;Ox7g)%F3^0_$dY{ zqNToinfa-h-~7>UlSbmx$g^ZKr#G{z zN!dPQ6k8FHa%KCYvB$x`DkfoXyoZj82$?2m$Ts(VN2P^Nzu;^4`;S*rxLru|SF9B) z@|7=QK{WHos5KPDu$2J{V$;fgsA)^zCo+4Fna~Gu@+x-h5>Y%Y6^NJ z4Oa-p>H}0L+3>;g!%BLT5@&vNf3O&B)(n=KQt3(5Jar#8_3!j76dpVbOJ4X6Uc$qI z7URFir30(m$qzQCTi023(?TNrJJsaIVRwqRA$N(d)L~k9_B2`Z)cE{La#`C7W6mrg zVWN5Zf16+1COoeLzl;GAJ`dZ1qf}tzP2t)NjBh}Eb8v4VS+{-^w!E- z7PhRhHRZ6mxet!2yUA%%QrqvXOt1Y!5*@kOQU+HyT^G-rX(0x5 zz4asKhBHe0X&zGn;vs8YPlEKU2(vfW5|@@!>@=A895Kv4OpLZyrl_@fNdw)UVc4l& znX$+OmSXZNQCc^e^=x?T{tC*reCNqKO%)26IwBDS~8V*$;$BTz7Jbk z70Vxr(h|&xq#zWtep^!T|6hEaRZv|~mu`auf(LhZcemi~9)i2OOYnocySpFU0>Rxq zxO;F(Aiep!?|rzpsvnZ7JW(mm*?X-y$2Y$D>f!wP>b5GdgYLFGY&LMV ztcwdus561rAJ#i2OllKp4xRXOOx_x#Vv_eXOw6DPS)EZ6N~lLm)lQBdJrnRq_lk-m zT9rH6Wa+a!h(--q=S$~U0C<=$boiN*D~f*+e<$_(Gf9f!U=}$x6$v*F>FWHj5$rRK z4`A#aw(!rUlA2G>y-ikA+%fofZ_p0piy+?B8Iw>b0$-?-`b^p0k=nbH`Bi{G1Ypg~ zxemmm{}mPFJanqktT6_X0I-aIu7`>1p8SA4;P&nFN}CfoKnlSE0tJ6j0Eq%tvL0S} zz-FGj4KL8p7D&!??CDq&mXf1MJ(|6+$SnfDd*D5}V|q}YtWwq|JmXd4mdSEjYL4;O zb1d7ZS{kV%O@jSy$mRS(ZVq?Uko7pc^cJTHPtmsa=lA%j2UGTyK%c6bJfBU!07r(Y z9_%$j(Ls>G1rb1>a zIGjZ2(rI4@%K!>E275Q$bHgidv^9N*D7g#UvKNv@1HCVVukKGEzEa8ca*5%&kC)&5 zh_m?jIMg#LJW#rcDP(|?3-YIUdOd$r*^&Miu!H-#i3d-})?vxou8D_3Vz*y~^FXmk zLi2d_u*>I!=8f_Kx`s3aEsm5ejbQeM92LgC@-*!sICESM8J3}XERzK*a_9-Tt`fh$ zjusI}R@_WUNt30x>B$7h6)0&Kg^@V^NfR7mI7vd0imOoy6+ew^diNZLv^8qXCnaCA zyj$7BfPEnFgQYf4_)PCAfL)!1wuO+g86IyuJB}9;a(LI$$BKA9s5H4Rme?Pxa*|q# z!wh8$m&>KNP+m6(c}zIE7^Sw$iG9|M-UEI-nX`FIS6`>^>%PT>gaieJ3~cCL9)@9Z zJMKgyl%010>wj@Fh%Y`q{NMlm*#hJ>fQbRff<6O0;3N=l@>ziy{J&6*9}u~dHQAF! z)d93DdqXkbfKc;+8(>oaveF4{U3!yoe1xjPRyJ*zNAPPT<&|(NtQq- zMHH5kC-*_HI^TUr!_Dg-n83rQ)G-29=^6;uaghi~r!VmpENqXUT~h?gYCfv!90+9& zr<)RjMR#;fU1EgHNZ--KJ~P2{V@wHPHZHtg zD8+@oK;%%yJP+DB9d^k2!lQj9&t+vXgQ_^AESO|=`zC?uff7Pr5+C-P$Sp8%)OwP&#Eclt2IZ zT&WR&*+H#6lL(^(35gLQiT#O@Cbd=rmNo;HvqhGecbPcN9W>3V&>#Y-V8~E+OB)cE zw54s=s>5!AhflbvS!3!4EDuKWZu@UxvyRBXhe>vyGf_~C-Ts87;1YTB*CK*5YGp^m zv_Q(2e4_>2qM}e1AbwSIty%m1z}r-UsNtd`tTw3D{3>zi3sK8+GDXtD`?`>ha+KK* zAkX^Z)2wsYOmAR2gpRLQyD{XdRvIjbqq@NhY=Nl)8}(={-~lDhk(T zm6NK$UO`1qV1RG{ch4M6W z2!B%#^sNx*U~Hf~p)@!xRyh?J3fRIl)a<_f(D&L@kc4%Mv8#9I(TsX#M~QhsX>eXv z#T_Y_*h`OjLLWNYalv3|CB)EgDQbDYU9E*3U>v(cLFqElT%tbwD`QW^kmMo@E5M6!qVDM_Eg3JgDq8eX5Lc* z$xln#9m;R(M7fIs*%JxODfMS5a7PsY8@4a!MIZ@#BAV$bB*auimKydTgw$6b=CNKq zF?p0xdr_#qVC?s3cC1$ymg~luaKn@@b!6e;j>m5@Pcsl?nYgiXvhI2&k z$FL|ATqu2>d}_H^lRpLi;H7P;uM=o0Nk))niDGpeVHsXR+33}5P&6VDnOvVFB4X6B zFlv^W#ySvFzm6=(S?OO=i7UXa?!lmoB*Ec23_dvWQPT|}6r{y~Q-xwuqlP8`1~mj! zgo4)uzEVmCQ1IXj2G?t52ehxUp?-jXj4tSli2Xlk^bgl(+qyCpdVvE z>XFd6{EZl5$uwr;W02L<0avt(gC-B7qAa;lnqQ8pQTho;w6fsrZ~9!B0U|x%sstp~ zMJUjW08Q1qd`>zMh$HU^|GO3T`g75G?cMzWK)T-uZ`hu=GM8qF(5HDu2T*14eHViA`PzY{Gvx8ogq@N5AetY~bhGv%5XYjy=ovpJ)xCH1qO z(Wf7!VUW##KxFJE(NgNuqxk?_Mi_3-`876Dr0*3Df}d|v%G2l1CHa_|(F{(wDY@qa z(VN-JkLXiK4TiDvbA=mwi)cMTS~9D}!AZyk{yk_l|0cExF4vugtkJ_;47AP>!1bo= zn;c|1Sm88VeG8uE$?_KqP#kxzB;Y!Ab@IJa+qh?_%@#$ZzeTdrTw`0A=e?0c@bg^B z0^iEEraoxr_K3&&s$7h>#o$f2Gsf7nM<(ygwmv3|;g)k^XbTl#1uqtNT$}El{z!!3 z+a#%QL0{mUiAdA83rHNSIyH=T=M2oAm!`-zRS8Z4A60e)d+-&Ww#%_KL|cnffF&3t z8JWO=I-I4ABi=em2;GWgnM`PonLIABDBYTBSUMycu=h zfpdf1I+uO>0ha%Ll>x-ID<5E)u~=!b!v|zexF6ng>A=;?q=SKQ1o$Z7BEkUTf+4_@ zp@9rbKhE~f*uEc>cT;x*nHhUY6SDnO z#-3^9fw;M{6<0iq8f`AQkB1YDh31%1(ReI%j2FW5^0eC<_rOo6@&Hn8vx8B6CX>ve zYea6F(2i>yd8w%BuKwN$C7}tnVz#UNX~L;&$DJxR%QvZ(Ci3DaquErFiDLG-2Bvhm zVP=Z2kCY zGP;Xnnr%0;47E5UwOWE56@#N;WNb>-jt2}~SZjJxLyaW%To&&`Z_ zha++Cp^W_b6MQ_-;2!}JcMf+PeVSfbm0h~%qSu-uImR^ZM+PMls(#E>pGM-!iZx{t zGwS3%5ctC|!!2747_KZEHThXSugq^4{sb~>Y*{xxKSh~4caCQs>uRItAQR1%+}-}J zRVyh#FT{O-JC0Ja+=$b}VEsFu-Y;5IMX1nmJ5)Sy>-LXKMeF-%ia77t>2lNgv3wl^ zLx|PoZl*jb@PEmB7Yd~Vl)L%$?%*ENqx44JQmx)NfNcWrG+tnig!Z0ttWd8cK!R6C zdJi*uomP~Moh6P^bb4Gd{o4dcJwVU-^TIvNLITK8_rKe!03D~+xjX;H#zug(e8!}C z&qH%v1E7ks@4A*`>UlB->_2XoZF|VTpIA79IKxDm!_{^40_v)gKELzb`(d_^L_V!i z!Vb1&+|@=dR^L~DXw{`Gpf(4h>^Kqg9_A6eM<<8gEL+uePom9PPC0-j#na5+3Tzz! zwxrO*A#JpeD<0XGeIlUZNE8PzkF~qlupGz6(a4FZcrGXpHOQOkevMgkrnY0@TcDi} zGd~s3z@jk)iS|%+EU?s{)OWc4;AfC~__9Ejg@TdMz47X5(Zu0R^`>u$P`0vwHE24c znw+A-?-=!?rWVT-LKToTm3**~|s0z(h$Z zO3X9(!3x#_ScUC0%;&3e-$jGB1ggmDLsiOXJK>l36hLpCnT62@u=6&3$E2~?oCIDx zzfqL_uxuHhA7_Gsfo-0LY0{#a?{_qZ#LpTCYQ%wS&#|@9$_G!OZK<<|Spye)rN$KX@5({AJ z?*UJtKdaMGr%xh&N@Lge==i7`10E>kM9x|_>{*CS-yc>6E9bsR#%J*>I6%zh+5`khw3=dFp@ zgUM2&Z-MlEJ^xw$kU`wAJrO7TbfBFV3Ay>{9hGBiIl>oz?VlZ@Q;%bKk9(0aEvn-6b2T9Hj0Ni<3py(g`c*>$nr>1Q(3L7rLk3|*D!9+@T5Wj zA5*keof}7@@kpL39o z*9;^zF&HGt6(;BFwYZgm-&Mr}dU@lnM@%k?84&-xIFF{8sC*>4xheyWd8Y{I=kRlj z>r#BU!K%5oj`X3@{1A4CIu_Ms0!d#=0V`u2OP~W za!^Y>1f%uojAqYxtTs6m_1K7us_Yj$WZ860|HSH zMvaNN*oSU#s^RG9QhBO^ok~yx;_Ik@giZlX)ide~I`7YGXe#HnW-B2z;)8_%n6$xw z`NDqlnW9;I`lRv zGa0iLV0rLV*_fKzC5?|A?8!vh_!-&1HNB86|4)9ju;#F#Np%IMP1A&$Ldk|~Bd=M+ z1r7gu6)RQzfxwg~Gd%<4d6;5xv54DuS|oSPss*bk2$*L0 zthJ&LeV-2sOp?E}qKvM6ecc#O-4H{t2{(RMLTX|1wTj17gij?Oq%cytTV|GPb=0RO zibZU$85CGL&WLdmcEGq}*}xr6ip#;kbb}{g7&WjMH^Qhgk(?$dexJ_a^z)MlXK473dL_{v<+H z!*!38YIQ^!3kIDSzX|Uym2A`&0$eP`3gT@T9sWqfI4hp$v9%%YKqe=kMxnBxvd}gw zds>Kd4hV-Tsv1dv6TAK52Q;jtRIj56Gm#v3OD@t?q(K7luZtfSLOjjLi?9y;FoJ6` zl}vl2G)ggJim+01fWRyUi#b_O*pi=NRjJ~j6Nseg>!_ji@)?nm$SmTemW zh=02%fp5RbY&iMw+HH4!5G3_t6;TaFo7W$^iL+a)P8>ja*A%5-xKw&NEbBX}KmEk+ z>Ba8(9crS7)b|HkNAp+#QDU8^KG=-=WUQ!Z(cOeMQlV&FRH^H7#J7Gg2Oz8*u4iN7 zVl6XkEg$m9Y#wQ9QIb$4EVgn9&lOHHHauO?3S%TGQnb*oyPtiWKW2o{-G-oDD@gkK z1$a`0_}>PLC(7vig7NqMPOIwriAoH+a(M6QY@UQSHq-YFy&CD;IFxBG)R#z^pKzpW zRuzm@Za31J-q&-(`p^eYkdA+zmKIM!n@tucZOiM3t--)tX*i-4VC3ZBVuarMR-REe z^jG*(hHpgc8u{PT3_;gHwuR1#Yz`JOuY4T!x|C0n>_8rW4jm!pGmIAJl##*c7t&>^ zBB8K;ii&9;E*L*3USEbwqiOF+Qj>qgBiqrysV@0cGkGd$1S0{{?P0)bcCP_1U0*Qn zNB3T74aK}IrMGjGotDfzaF~lf(jJr%{q##mt@Gm% zlTLm`XK%_GD9V+6lc-mh_|^zqz^Nd_7R?rrC|nt&TCHd1iV^0~6;w^^27G?f7PEN; z<@{O2o~q|BC(TX?Px*-vQ8;_jfZx2pb1skal)j`KWm>!UubXamHSdcv?lr@mit@{e z?YfwU60=WXH*k^_kAg{TMD8AnoVP5SIw|Q{8jhIM#}mMkZT$IN*vxo77a5Ct@%Gup zd?%jG^WM}t4YYYp!=C42>a|1iLTP%M!!LwMS6#yhXu~qihr+4hy~g{SjDm{-j-q0Hib< z*XLh6rx{LsBVG%5Mgzrt(I=Y(W}jYQ$%Z>=F~JQ>>9e>j`DrL3E&r?3dX(YJ&hvS+c~$@RH(4QT8XBQk(RwA;Y|I1cxsTt+;2ovw#{3&sg|DfzJl3v|ncIH(Ob_YlPEDJV1Jd;zK z(0a3ov+@b@`ip3pNNa%uhJZz6t)i}R8~?LT9$$Cnf2X|Cw*>NWl`*6rlj7VzpV*Vn zE{g~d7AT)W_QI{WQQg&knD1)tO5zPvrjr-3+1DHGKkK6i{RSfqDYN*SjTTx!5we++ zr`yfYB{c@|!?&0b7h%b^=B)aXNUcJqul-iW8QzJqc!Sw}hSIyK~#C_YIcP*})x#>)VOc!X zlf`bqHM4C49DIS$Hf&>lEcx1yCyRD3yPn<`H~w%Bq)Btrhg)~;VB||>DoqS86(pKR}hV^u#=>$26QRr3?_g>5bQEKO7TQJDD4PVBgkgcmsk(_n?icF6u zPgJI0$Uf6i`{(t*val&HC-rstlK4?9k~;rcLxvz!(Uu*B&m)+=u%5lZ!edEMv{7wl zmDWl@IuXy>&AkR`@|X47qXuJwYam@&uH50I>FSqZkG7{D?3tu#Oxw`e=Dmni-7U7- zFz6e9Z$g(nDLCPjY7V33tQ zJ%kIYT8o3_b|DK#d;{&10KR)ulH8HkQ8NeXv?{zeHdj(COlt;KT_~;)KSUaCr;3yZ zKwVkzJ2YKUW1j_mOIH?>DcBy;nJ7|`RZkIpvOZn-MUG646>MJ&Q?9OVfe&-#XDWPX zn|Dftu?p|-iVPXmM}(v2Q#y-W11h*_d9};$?mmsy{>`}P8Cu}6kbkz(x2duhp6p5! zlkmd{PxrPeytOBI*=WfAqwL4<<|>4MDd>mHf-{0z^bFG>@_2mRh*+S)zmU#J= z^5IfO)rk~Gs#a%zH+=hUbQ$aq67r z1)n*peI(4h{uEs1rRzCsXrV@@5KJ1_PGo4<)o+M8jb@ zZo-R5()}exkm^|d^a9d|1xIMyzNLUVY#I0tOa`KefHD41&lJgPg1>7hMxyG6muu@k zRxR}MF1qQ97`=xLfg5m=_|1wgUKD;t-BE@V{FPN%l5?>qr%UGzCJQI4n5RaitzlmG zlf3~jG%FJIZq(g^dLtP^ZmH2Y9qP$zPr3`ZU}#_c2YmCJI2P9u*JL&gX~z#Fv&+6aM)Krvm?ed_0Yyqru!}5L=Wzs0b&pL#3geppQ3Mb9TYS5Yd2W3w{ibhw?>aBts=r;Z(0ko+^zNr$(YB7jxDsWZ)Lgyku zHf)B3Oyo;8a0AxdeOO!cILIf>AqW@XOjR7%(fR=^CEY-Adz1Uw<404TBb!q5>k9SY zuPy8{zv{=II5dsXiPJ^<&NR;g7k{{vzWTj?^xy5S@6M6;28H1cI-m%nFaNARpU107 zv9Hk_MdBF}NOYw~xV;mo2@HMOVLjqRS%rq|qTQ&jUy)q8RNgYTqO;}H9Hv~nlc3@n zpjXQ~qL0YAbrz;9M(Ku&sTujybz|=fDm=2r3B9%qJ7Y`HWkMH9s?jT$zBBOug!2~l zYx}h*9s8lr(p{X5`aj`W0eGRck=yG;AdNKUycOk?yRkXKKT1?R6qumWWq7;We3G$8 z*U+0_9#%lCP>GT(K=A;4!Dpu?f?#a)3&CX(!jIlkAyx!+Rk|^Ypl`1E36xwdl60J3 zQgvq7=D+NdQgRHqO9KDG?H&&^&9iln+~f^1JrFJ;EdZL%Yljf70g z$dj07aVLLk`lSEi`iF`U5irhCtJ5#4!ZaO!FSR$4AP5}Z6VfPtg>wB>4d-)VX97WG zZO9mm${2{lCd`hHW1ALc2>3kM599l$ro%konzL42nt1vlTz8xUmy0JU)U3lOw)aJ) z3RIsZ6928-@8cGBx%ps46GLy+q4m`2nGg(0LO~rtLKzf(pM^bda@L>M7#X%$CCS4S zk43}c-58R=KXoFsc(}VzIlz4^#L)@^Y}O> zRW3%Az4w7Iiz0Bbh-q&z0_Wni8QW#1Ni?S$7q(wwN${FMmwyi!CpzjN6*~`8(V9~w zk+0zI)ofgJ{XKPn!@lsWLS(37-&qJ!ry)CtvV<=&`o~OmfM9teQM@|?PG>Y*#lK8% z>UdSd`Hy0KTIkPtLv7d>M|oZr$U)D>f!xpK^408LH^W3IICv(+$ZYa9!X@Vi<|Hk= znmqjdz%L27%To6F!K_aSS%_4$RECVrNZ7b9_U)N@dy zL@iyaPsUZ>_5*cfO_nH^^_W=_o=_3Dv(8*`I%a% zd2O-L74SMR7BZ4^nAiMr3;1*K3SycH(2;%cRMhD?hK}(xBjWQC#u)-95H%9Ci&8SQ z+kIg@GlN~{Hrcfig(=<2zpGv#^^mS1O(fl_oPAEFS_xykm;(LjALNPi@sLkMBl^k| z>1DLTy0KxBpr&e@3+DX;v`fQ>t@BseMa2H~K7P{xcYHbEr<|?nh)8X=xGHB-(#*5Q zFf}HJ^_1)?QWXm(f$b_LC!j-nGPtVgu~K0Bdhzq0}g9s)tuUbq>RF!cm=lU~+FYX@Xt4 zSW#3E`(dHrMd!*hTT+eQyeck$R6L(F%I~GmLK%7C>-#JLVF(xn0S;aO@H;OhO>ndA zh5b9IR}@u!W{n5eX08SvnUo^>5s|AMiDwe{^5T`Byf8c0lQYwr^fwiBqWQ}e@9Xg# zcYHI<7$LJVdBP%JrOFe_i7#rLo8?lycJk_CmZ6I>W;F^Psdv64BuHYIAus0H4LLiO z?b@`EX5WCBEbpE6yv`%teWeLBehR>P}Jhz$sDhl@l&ijaHuu)r6A3 zo$$8fP2A{9gj(W}SEJu1RPf;v2;9h5EdHanazm2rY<=W2`a{&P0#CyFiGR?r29RBk z<6Se6ouC;hVD9g>$$T!i$$bfN!K>jryTF-oOM$Pyy{f@47bng-G!m6AfkZ1`j81)5wA~qq-an4PB*?S$*Iv49uT&-fXmI z=v62(79zOeZj}Vt6742S)OUL4d4O7o)%XtpRrjtn+q45sX1qXOVmr`I@!m$b+F$}J zl;<#ZYQ};yW61#>ECRF!vEsz~OAbBqH8LbkAB~!WuiE!LA`9cEk510cfYvQT7J`iQ z7Ws;i%cWOn1ozVCbI_}bj48see{25s-)|pHoj>Y(+S5}*XM5VhQ1n_a?693xG~&f0 zedUXsL52BAKE8%6`+Mz8F;OQ}QVLzpSI!YvFC8fpKwMZH`cYYPkaLtXg`*n`CEq@`Q6u*HDR(K%i+l| zaZ^Edw)}7(7k<9mfLC6{7B@k3!I$!a(4**g<^Fq8rQbORb#Fbp^S6g!|hOsCl$P?9isBiX(30wh9QcfnZ8g0*`0e<%|?Jr083 zZ%<T zKBlFi-?*%1*%h~V6Gb|}G2clXpI(%t$5zjD!RK`pc`L&iNSrIjettJnigf zhf->gCjD5m1Z>uANp;Izjj9`QV16CQx7E0bZF#p#vo6A3GoAa@88L=du=O_m#d6NT zYiuE1F4_6H5ljgya0;nkq^AetN@iMk>fnEV~HxxB8(^u7cbFg0V+dBA{wrU#R<$soe@hurSEh~R0d>P z$qAVEf+llT^;xcfK0oj=I*L(*e@7m*wIF=4N`l->qezAcDKrP>z6aM1DlAOz6^SQC z(Oh#fyU8ZKUL^teZe3guvZ}7H@U&;-Yt?)m1iY$4zx?MFxZfLV6ULc;5Ci~}XO0w+ zSIB!>%J)oni?7<{z?s*%{oAvL01@m0LviTOk&^;II}Ef@0c%%*>f2B17!sselYqc= z6AY8FY6~>U0tG2FDY76TLkt)Rn?CJSKOgt_)dz~mVoG&AP}4EA?;Dkd3kz_|51a48 zk8S|-%dn)HInXG!D2rC9Z14cBUX1qa$lzLI=vU?Y7_&qQHa7R*U^EqhSPTm;rLwU? z;s+H*m3V6R4Uao!jJW9tBld?MF26)-jYy=rrk zYgN|T3Y%9KmKlZx4~1)4vL9gJ#DvuDXFY(g{4uTNYjPiQA4NDe>`8R-aqQ7JdG#Mr zS}u>F)zvHtoJq}dne)ff1F((7=kEZW zTFxMucDtto6HwMvH(W|Ks3W}M@xvl1$edk?P2h}}Nt(ePY!Ao55cq-?>&yIR%zxi5 zsBZBH%&|VNqcm{S*u4q*;i2g6ay^txoU=}nTi`}kbFQS`{zX1q=B2wsgl*9ivZKzk zE-o7W!m=R8lF8V~31L{>e_~xYW>z}&ZGil-NCs(w42unejIhbxD@V&C?1X8}(nH*d zi*f;RDU5DHvu=&)5Dh@<#Uzn@vScW&95xiRocU|uknsCq-0!_;X!uk!I7$-byVrlZ zrU3%JFHy@sIpR_R#zXq6LEnOmIixL=@JE%YN5vC^eobypVQgCB9yjApMw5i+;n1-yZiuJ-_|T?$>AlzS?^nh>43KH#<2fa{p< zsvXmD6OG+l=uKVm4HcM~t`-+TTR#no;yKF{`=Y_qy16%{2QTz~0z5-1b2>7hJ@k&S z+4$rghefA)AmAnh^iSU2j5BLh6Hl}V%*HNy##2=Me5D0Cv>LSE0dn;nv}W&n>%v)@ z_rj#{GoU>~$G-c1DOmD*2hb$h4)j|~R{sFhl?~cMM7+Q|{;EB}y)S`${3c{0?}jq` zkTfwV95D+Cz*Lk0fI8Gc`hOGc*=5w=r=VrJ^UYZ zwnk_T?+;X}U>aNt=Zzp|75`Sw9R z6bG-QaZhg!2WD+dLi4J$oRI%YOeRp9h>Z7Me;=hS2a8Z07o#%TaK7qN|HCWqJx>|L zFLcCjoZ4X$uxO{xMPAK{!P4cmUxMB038q-$$xLXdSTV`c5m2KCaS~O%0wrP+s(T_6 z$$|^xxt>RG1VCc_n*2^OW2Je+AxTT%k zq-_3*sy?lC2eX60(35XuZ0?<99en)sxBvcS)J2R!L^-8c=~31OF!j|miA48q+b)|O zTVjNuA&im1k;Z-~))=uO^>QmyX~5wrp3s;(q?7T1+OTt44R=}^Aqx|-tB@vlL#dFD zc&3m)xw?cf|KnH#JG}vPf6E>>P*A(X<81h>&bIG!%(!#Tbd!9o@(vrEX|im|%w|`8 z3X+#N|1I6v@5@%4?^*5*sXNJ<4CV-?U__`43$W4+i4EM=kq#V;tZ`Zz585V0U}9h8 zlZu2&gdZ@CA9DNhAq-ZG`6YTdPLiyi=1DB|rK&9$C)QX6i?MjFh@zC}N2n5v_%xXb zBY5TsX6u9|y--&1v>_qSoE)e=#k|yEWq8REl1q#zp(U6S8c?x&d)VA(lJKyc!_yu} zvMNRMm@13pRd8*MDcNUP+>Paw@Zdkzx0ue{jlwHUTwkkG|6cz}e!K&~B`=9lKWMn~~pGE>B&UHru zaWS8D|CxiaI08N^MVeH8^xauXfES^eaS{KeFTG74QW#!2@JS-(GpY`>M0D$isb)Pu z;)tD{{TAwig*!{Zcgq53%p86!D=lqv-1)h*{C>&y0@{&qkwFualh>U;{&c=~qWf%K z8N7{uA7uu5<{bPs&hFFm@{Zm$_@O^9?3#!NIzeY0zQ8l%2;_eZQcivpxj1504l$Bm zchtF(bd1`Zk$^Rq1l5L5n7WFi_INamuH_GA&mHuH1{kjt2sX8^AnTmH35nSl`s*< z%Xz|-taem{;_T7;s;A}G4*gcAWQ|3VQl&swycty~TYq|QIeSt>^t8RCq3`o4%n^4O z0b`lxU&puJWr$gxUzTLiwJ9vNqBz^QS%3Rt>UMmnD3FVoe9!gD1jP{e#1bU6idWIw z*B(|06w$*VBYF=DwDZtqk}~9@#n>qo8K%_IGvb=|QTVz^wxjB5ey7;{kXc5hF-P+~ z{mp<7I*_{@261PXR(mqbsVBb-njK&3rjoQE>{FV#j&v>YDs{2i6^C=>BZ^lLC$t0z zy*6Fvk=+q!C6XrZPl`!xmqoOYQfW8*?INw8t6nvj^lTF&l@gTAi1@pDrLe9{=xR3j zY-e!epAY{HZQr}7v++swr%4MrG4J#XyC>Q3lKFZtGA+I^v?@$Bc{4mYI1AfR2v0$k zBnkNc6WlMwibv-czREpOy@;ja^TX#1A)7^2=a%jQPrNqZ#eP0IQDYa#_Q2I<(oi$@ zB5|sro_i4JFe1>Jhr2@yD*pUAaRH+gZ~U8mH3=MArs?etIa!(FrWDI_J05Zmc76jR z51|?b8*8Y%JXHy8d0L*?<&DQk2x$)kUQTGuS|kI}Hw9;&0sR z)~6#OSDU;^@#=>v-;*o4*A-eYuZL1>l3-?j-w z^R1RMC%oH;pR5_zG~5nuno@^jI0YWwct2)68gtW@mUNt^31#hGrmhezi? zuHJ=ng%Ab08txiIA0G2*vY|1n$T^)QSHN<;!3 zia_RYrKwj~khUnCNjX##^DDC?++c{UGB{cw)Xk&nRVh{m^QgEW_r3w@>N}bN(nDbrk67u0bt<{~j8a<_5i?+?|07 z#I^dl(TRj;XX}dI<7v-@E$mErM&s=vqRi9t@*y|$G(Ym{dq(bt5m(m1ycCLx%%(ZD z@@PW)zu~8fp(?{_3FVOtwfeIje3t;tuP_b{cUE_H9i_p0p`S!K%n;0w2Gd3?A%>e2 z=w8`pgoBv}E9A^7jRHBj`+B$h9Ym5xPS-2#FC%D0p)0d^ohv9VRw@0zAJ@-q7SErt z;@~~ihGK_=hCmYw5YwW3aN? z`jh|l!<@1TS^`y~9rLGST_ULQDEJ6Cv?lC|2Q)|{ns_vMaYzjL#8;w3wq5McQC z%U^j&pX*8L^S6QmKZ}f0)ununVSrYUP}hJ~5L0eGwo!=c(Nu?47(_M0<65W==pfvc zg%7O$Oh;Ep!IrW_Yi2U?idp+Q`W;|!Ut5Gg!MiO{k?*|@=C_v`oL7`U!*(KtO4Xvf z?+?u?RzX3(;j2IIHJb$x4 zMAKC~nK;^$F6@ms!4Q5mJSg3lpGIg~Id(C3(`7yRS|l|~h?b_u(J5wJG-=x=PcoL? zz@W(xg*&}-saPn98i{5uphT^=O=>`O5s2+wOpuO?hqzCmF~+cN#q?nIHB4&y?o)q! zHR7#IsO`5MY1%+S*XNqFtwIYJjCnHR*Zr+88M(L>z0t{r6C=OszB)KJ+)`=rL(Z8O_@&C?{X5>-nUK)@m z_{x5@iV+`5y{-1ooBrA?`6)IAtBxz|8(?L-V@xB7Udob}FNjy>n%wRU&XF9%uXtXHn*H{i!d}WFo zUBGbwk%T5v$;7sth;KI0S;!nhe(ZnQy1v=?)Lto3yB{6ROVJPMnVpXHiXL6hJ1iz9 zqmrnwATPY93B~G0gX?`bR7~tx6T%?CHY{q59_!66^=1#(vJqVu!F7;L6VY|Zw+9Ta zU#DpgD2XQ4`Z`TjAaq?o+PTh&(l&8dO-4!VdkH}VEgc;Y2_?8@^z6%8bhy^YyCRa? zMTtjAvzCgKq=a|x&YSLN8ew^uj=u$n3d0cB4-f@`APkX3af`>2OQ-~P4AHYFDL#3f z=-gZrs7KdDiBBjdCHJ4|=o!S>N220MO>PwwlO*fSp@X%XWUYwkibOsYLy76UQSZ`r z12Wk(NA6!DmeCRXA)?<$aJvYhg&<3as*Iq>2&#gRok7UWM#_H4@{S_tpdxcT>Wird zJXh2AVh?`__>J58s1J%;Dk{c=Wq^PCZ~ra7@+-f>ul?Guar*S$F6ev3W8F@us>&me zJi@cjKD))K2!eoTpM92p`cMDq9l!7HNyP{8S2GMJ@@;r+rNwWb{Q_Ya8SC7NvDEHp zTOGc7w#Lv3b|@vKCOUkjl(vIl1#n|?$eXJj-q{#X?U=l|(q`y*=!%Tz2P9RQpM7MO z)3X^eld3YLMv3!-+gkl&--p&Ugkc>q3=kXdz#IP~GWr>J>Qd7O%FEqp9OQw~=nQbe zEca#&49jBJSf=QYniB7(B65c@7@teqq~5pi0|}U=opLd>8=R6>5hR7IWRhyU294Ju zSWaqc+ZFa^lL&yC<9sS%M~+qp(pryu8!yd366os=5mUg=(*yQZ)_bm%%& z2HrX#plLeAWP+(;mgDm?EEJOy9vJf+DJS~AbAIZ0n z88RgeS&G52oXE`76yI4E`1;ua(?=d;C7X@ZOT;ds*dwoaRMZ9)eS?A=A{a@Kra>6V zN2&=H(hGcS{?nYPu5&zBW@x1OX0=YeXYKG4kwt;>NJ8`=Kao9h$afH~ox~X`xRQn! zzjNuvYPQ0LA|nSy+-sY>v(ab0W6?2P%u#_9S0$!05p?e4bfg|v9!=kZAfVbAa_Jf< znJK-a!#NFu2C>?DH&pI@jDR7mN(gT=lqG>!FDOn~qFU zmzl}v6p|W+xJo9jpvloBc02(r=pw?fzExm`o$It+1tpP3k)R;-nVnnO<7$2@vBz|A zx0L9hwq4i`o7;*wjS)mTo`>E>q!6_DG?d?;22ALAQTKlb!8np2bxo7a_JFHvE&6Bv z6yJ8SQ#rhuGKvzXX9V>7219#0flh=Wt{+Ads4yfsN}wgfK^@k~NEW(hBH9|EsDL0x zYEGd*G*t+IaF;@mvQviCv-Tv>5!qI8N-xzh6y& zAmaG}R~rK^bz!*DMVWMb_X9#k6NxZHm9_~8q5w%vCZ#K+beTpr#^%tWkWh)G<wkNgv0g5LGh7G*SuSY6BdODH`G&@j#J9^F7!Frr%-ll_f7>-nm4loFc ztJ`Ky-%>x#>qCc%W}z)fAhe)g8#&c3M+Zb*vdJRj7B{hXOXd?=B(r&9`aZs`=)BSG zF`ESaL>7cjqypnvkvUTP#^_w)+m5g|!DU;n&q~L>BbV6yq$9622E4V_jS|MLwL^VM zQ$&uI65KPB=7ISvDP7@}>n$$U1{|MCa`I4qe`i_G-ubtw$tdYc&0y&zF0N{P?c$Sc zbS&~ooijlORR|G8lVr?dUKnynH#nL$sKgr-wGd(W7ElIfRH(*_I}-4E&*H7s4(HeV zth9`Y>yklAWmqgEI8~ClKW$P9BTfv?fa=<18kg%Fb6O<2B69vorVky93iGr|%x!H; z4G$a9M!R`AIsi{i^9R)&Uw!EuireM9UgG+Frzua(f*@>}jNNrVk$oZvLSA2K^8bGB zx9OTLv)LGrE#+@}Z2?&6^mz7MgJvf|DPCkgbqGz2AqtR=$xNr?94RL`Tukn8O?SLt z%X{O@YKJerzQ$%>M7h@HsbexnO3~|QbCoSsH_x$YY%J4Uzrk9yN~2@2=>!aY3)moS zh{VD;@xVnCWfqfJ9ywA(mBdK-Y1Bm7J&7eV8y$d9x`)%f|Bf`QQkh*qe_#=^@55dz zDUg|q4v3zG-P5ziB{=^FQTP19mm|6A>HDMSJ~;)F9I1r4Zd4HLHY^)`FR*Pq!yx(A zTl9P%(f1=L(E-q*ac8@4xm(4;a5%(ov~dKLR=bAZ>>$h1$g4-k7c~M=jn@1ya)%ct z66k~`lZnZ!2-7%TfGUSb1rY>mlsHeGffzL)#<^V>0%3Gb%y!hl-@H6>uP(vtqY)?L zc4O>Svh{T~Iv^_goc?xlKatowL7l!Q(hp-)O@*s12ipzsnmx+dB)TF2A)+84Pbd|r zvPfEwirvJ>sXQd4-m_U=xsK-=SlI&U(h+iV3kbR%L5IWu!5boaJp{LdfQz6=2#Op{ z3sem!HO*^Xoj-bgjgDz!hdJVf8PvFhATWYpDl8Qf94n`&WMezk5+~warGxjAS|2wK zM^fu+*WTgl=QmjQQWT48l#hRinVH#<{Bdk_jsAS&mWqmRe)F5}_jw!`ue|aKpZLTl zw!R({sej=Yeu2+_{`36Y&;1;YMuT7d)n8>}V}l1De2}kx^{acx+qV-ROe+5Bgzfp; zyoQd2J)tiTP~2fGe`ncYV@D!B9CYc_8&vzRalJ3_y=IElX4Hl2_%2p1$*F}5 zN2e+*79!41JT#+1uwTXR*P_m1Z!J0iM49hzn!Mcd*bJ61#n~NyM@pADHkIU5CBvzi z6uP?4)?@W3zw@VLudI@aOFWXi!OWqDkrqqauhBs4|6ep%rEac-mT+_Rz%iHTcsvVO?e;b0?8ajwVqr{9CEQ1ndo)R5`Iubj`?JhCOOe$DK=!Ob_3V8vE>9s#o&h* z;K6&!lvDbiN$i19Ji@V0|Kis3d^cR~Zx-QLg4DJN+!&!aM;I#+20g+X-z2Chgkg+u zy+ye89Rl?%q3aQPK7pVUiZM_UTixn|!Vi43S`9ay-humv=y@GF+pwLu zutUQv+*xE;-RQNF60Og*Gf|N>hDvG4$UN@7grr117_ofhI&PZu2Yq^jA+~Kr>lYS| zF~qh-M8T(R3Zya$dUl#1mLyO$V(A2hY=S~QMJk;@&@^00reQ^#f(w_#Wf7C1sbF zmzkfR-&1*oVaUqL%3b%V_(8^aQqgQSKTv;qAHsEAo_XdOe(cA7?5+~EyN0{9u{Q?x zj&83a30s}YnT)>m@UOnxDDoDfI;c`N>g2T|10%)RwaDdm(lHorF~NF|anozNpM&*e z2x7E(#Pj^Y8>_tCRmkN_qzY3^s`;sMq*yhR)tO1_6I%T{W2Lu3!)!2rE8k)eNVHQYxH$h=2FazZf7WD?nUUk^OeVHRG0AW|Ub)fa zKfd%o7}y>Q`8bap1ak|5=$cqvuzLhnAJd5-CZ_At=-l8fVGUal$cHKBN*`yTa)L}u zi97<{C9ksGfLB*G_}0Z099JSKRXCBopS+$!8BM4ri_FPzylwLT*|jd4=f6qbyiPHx z@$q|S$xqF17h)rx$e2s8+BUgZZL!&`WAxj2W*^x%*ywwFw;LlR_7D}3$L`a3^xpK% zWl9}$bbY#D_2>+0{N4?jo*O4GP_@wh4lexqO_z^XS}78y21)Q0t8*fL(J7*7WM~2H&_)BM~=A>mvX7>HGQF z2Tw-mfFPvaw?^5Yk;IdezdOGgD44~3_;w9xmR{N*873a2e7*8%>luBu9I{MRQ{B4}yRTwJzU#`z3N- zhr@cCPc8N-CwHd5fhaT7ved~@_4Cx61n%f@ig^PvZimX|TdYL~a-&NnxLN z-CxIUt#M`3;PT}a{_NUC-s)dA9^k0wEbgvwFmgHZikH;_{0WJL_ynDU#;v%moU<%wr@=^Au(l z$(833l-JgfzAq+=hL<&R=h0djWlasnwG2L2O*-6Af3sQ zn^8Dg)X{6NvH9j(*g}G|VsI>*LKNR+W7$$enT8Ph%ilxSuMt;fm{uf( zQ(2Zye>f_Bx~pJzBM3ov4c6a`5+XevZM?)(oWuoD#=V`be4)o(G`h~HKdYG^I&C;D~%!5j>$&X+Tt)l1cRAM>szGrai`j_ zJ-&XnN_7~L-yHJgw>EaDLnSqt`FxB+g#<^-Nh;YG#pGTkGJX0aAOFdpzvU^zO`$^v zsSb^cfm>1?dXJ%JBDm9j+=2a)Zo3y9FhO)4aR3|>!D`cJZZaSqNgaVft5pRP`GRDV` z=6JN|;<*;J+8Whs8&nOEVW^E9y))QS3SZJj-ZLRFSwzV8v7`hSM3u_iaol7;%>mgQqPEks((afPy=GSISwnJiKsw-6|(~CE3gi(o}($` zS@W|j+bOJFMrTXK6g}%l@ce*EHns!i76c)Ukz!S~Yhha+IUuJ3DkOB7*-Qkf+F1E6 z$_xK19j8lCN${D>eVj;)x|=TG88}*WE>$nXvYkW?CCWf~)Yv?dsM8z%DM%e=(pf(H z_;DVZjYxKro#)l|-XeM2dA_%j;*UI^?{#fvrXS_Lr8sX7YpkxW(A;dZ>G*WrO<)sQ z5?R!B(%C%6=BAmil$b6Rqlr!jj(QiVb^A2qsQ{5u_M`5B!R_3eDr)}C?+TOo-~hs@-sZTJLz?X zBM9IcG%iNG6RQ_}-Cc#XSEFP=&qT#V;TYav1BRRQ^Y>Cs-bb}-(bz}TZF=NuGP6t7 z%@2LBE+7XjMEN8TCkR5CTO1&ZuDO$sH0A(RvN5L85u_*x0_t6hH`lu4Vj3@B-&w^U zr0mijI-FhWa-}}tI~N-~b9Nou6=+@F!-3w3-~Q9B78iV6US z(D4ZE6yauzz}}c}Gami>s2CU*4?8Z{U&Ppr`ya{#}Db6Hd5%J3IUoQQu2nJ&{7Cv$kBLwIH|A{ zcoQfKeNQy%2xtB~!f*{C znMIgAjWBtQd^b7-G3uO%;>d?)0NzDtUWP;wFM#S0s_G%ugX|8~HOuu0!l zZ{?S=BrrWHjvrgfV|fARE_)Q_7cdVU=UaY2eYlBdb-?Kn`dwVtB;j<4^)8VTEEHA8 z(5Eo<5?ZRjr&1?Lx=r+ag-0q65Qb3oEe0tMk^#EYCT=$<1TCh-F4>q!N*kY(1Fk}I z_QPD=Tw!Q#LTZY5b|Jdft*g-i?=EA!PXs|ob9gXM@gP3fp<;qs?*vn6jbbjo4S5|C zybpr&j`@PA8R)IP>-pVk+;X-x<}wI^z`y?2|9XeRwD0@8_~MH^_~3(g?ZkeN@c~i$ zFJA0N3|`(G(i+&LbcKQCk=7MHdc4SVT7O>%m^bT|_DmN^6ey>4f*|A*C(8U!PafL$ zeQpNNYKKXB$`KySnGE|)2Aw7a(YR{_YuJ`2J-gQ9Vy#cJzYCs~NOEjy8f7s}@`abM zT#1|lj~)9Er;6gv5xEsa#z3j*h!nnS)LI=>QAL%u)us?D@Y6?r`d|puO=6||7~e{3 zYz(T%nK?dv@85$^V9;2lQ@cU0(_~<`2*WD?%nBl&o+nwHCpW!Fd1ek>)A-2o(pJ~F znAEtjxs8AKCU_aLC>=<$p3D6hND03E{8#wclRwU>bm-x_9k;|J^jutB1Q(EM5eZX4Bq;`v)=PQjtbkql2k13d5 zh#w?y{SydUKsN4>lMEI#gTq>vitbR*))B&WSbH6ssjYiy@%Te5cGn`g(lPwwHezA! zaXusd3+kLNo7xs40)x`FMZt0`j#K-PxBsV(Ph!Vuk3Urp~pZf}b(7lKk1oYHt8q*)a zNksRqE=y$Nk)*DoDKvma7vAjd{FNQMgK_4MQHE_wi3R4$pP(l$(N{`1N+!~rKY#<| zcmZqesNwKu7ixUxQWL_Exm=uw7jqmfC-*43OhVnpWdCm8#5HZ!>m71N2hF!hIPjS5 z@Du5PoE#$5*9cZ@T-%}J?4BOn1UmHBE#z2qBuYRSb%e*sd~cn;1Dj!ntnH)Q7E)Z_ znvDBFfa`?>1S8La0NdS`9MxozgeqaHpi2U3=#UZv1gis92SJt)VsV629x+u!$dnP{ z>75=0s)pD+i*W7>2)c$~HW3dkB9x9GjQ2zVNKPcZiP8a+j3t-|(ZK_y$Jl6@drV*`J$Jh5vs)vS`+TqbZ$01{GjsC7WZrm?rb!pb8Ea49YzcL!V9sgUG*8$zqG5(zp{_FRy(KZ}%ag~!Z+ljRwgw%T0)+qC!&huZ7%a-)ME1hh?$TwINk@TAJgsT2!^L`1Sy z_ri&5)O19*>dC z#F;N=DHT$Lipn3KZ*tWNC}tCs9?enEO$4inVC>?V(T_X`QZtY$Z+FByDG0Ad$z%L9 zocfzlfhvcPP!-0&$D1yr|hm!4`<2Q zEA)n|gr)oz>}ygXZ#Ea(5;w6upOu!ewfCQ0?Qmn$Kp<-1HTo9XXnjtMCu@p?D96cU z7n#k*m`=%PW^+54UR|MX3UuTWiaR9c^{ABQ5B5V5rG4ay>u~OisIneiGslczlw(QW zST5q8NXquaz}Va&W885BULWN6jkf~omcVR2&6D>mkc+F4(8owYZF++9`JO_OcPOvn zIin(Doql75&FWcN)wTEjdq#1~Ma5VF>X&}$m-zSp{@?$(`ceFO#|QAIA6$&hoOTnf zV1JVJWas&A6cnBpaIxO!%-Xie*kp`J)~9DPd+_hsgu12LbZ;fi<$9mBj&;kO=W+b( zqjOt-)6C@Gv>(BG*ocnxw?+i(Xmfe#Mvt$&v<XCeU(JJLZnxp~)hLO9}3oNpZT8 zCOy#w*-D@T4^#E&7UKAs*!K5h+31+McYlKQM3=@JHu>g_ui=FrVrmBc$S3c}kK+1f zpO=@H=@|m^DT{~78d)tn0d>n!$sXB;x{Y`uUbjlOc7txON454g-*0^zC2;7}XBk$W zAeAeTjjLp03YsRf9>97VIDjK!y8#>LU&O1vgdSMD{>_(IocUqW`BSK|GNpWGbS_7? zVI)>>^qGwcG1sKKa-KhZdo#jp=MKT4rzw=C_jI1ePTZ?)gLi6uHo7()!@+U`8Uq_q zh#Y1$S>)-X1^(6}^ZTpt?7KmZx>pyz5}ik)5GB+XzZP|{cDY|8-@X*;eldm(URaMh z>61~(#n|ZEc&@{-a)N*QiKBO>fOaP_zOT#oz|kKfmp{f2|LOmSw7W?xTSk8L=V0OS z1ApB018UufU|sE6$WB1QEb*G(Mw9zYxe`a^;~Yt7B&;U18h9J)Y&`!Wn}dM1DdL1G z0x}{p#ULPtPfC@zPk__SA=Y|8Oc6mbKuakTrAhe@uD?G79pufBy^c#GD&(Q zARvhXm8{O&S68^_aDhtpJsO?;6^f2w(=lDLab=GTH~^A}IC3sVRT+j7ZC{|}KtB)( za|-Wh3%nNV;srxunKFmwW=N(IbbJ9Tln?}gq%M<*DJ&M^9Ggl}$?BAn+73wh-@bQS zG-L;2G-38IQ_HF(%v#nSSaih`s{%w%HBuWB)?T5051EfwQ)1`YjGWacu?K+jI61hhf5puU7z#}Qqd)@of(R6B1 zi{M_fkBp`i?d=0bO}_$O;RH1Usy&bDW}Bg5u-xg;?fPVJFzO8or42rL|51ul6~t8b zz~ha@3?LCr@v0|f%?zWCK|^7K&F^GBC`{;$422;6! zxq?qQ7bPG2g=s^3C{Vw#igxJ@dV+$NPH^hpIr5bX!A&4nLg4QpSZf>Scw_S{wkRSg zN%TWclbC%pl4rb)kMh;!I!l?|vlf!P=|D`{yWlBB~PObm4v;UpP)$R}d5VZ3Df75^=K) zm%h$3-+P&KI!#5hsXY3V=u1(;I(Fh7%X_vBm#*oKNY;>!DdZChxwy&;S2yWf9!JVa z{^5t0?yRuxEW^wHXGH4Lk}&(wURT@kRBTK{yvbB-cZ^|!XGYlmo06=jlDu@S$rqn} zp3i*hNuD@TKHy#dd?LK|eZsYK1eqnm^8I^Mhlc$jo2>z@&X8Vr0IrMZI+4S%=OXzY z*V|3pz$B}ucyMlpm?F_PUHZcTgW-_CwZXSxge_0XAxR}9r7LK$hy-kjaW1Yl==S@O zvWuF;a((<@Bx)sz=!!@-u98ovq;z>So!I%1?N%rHK}8sbY&OQdR)N|nCSGn^2->2ax$f_Zw5B~!BV~^WIdOSG4tm@vc9n1=i3+ST&@oQNa+d>Eo6E8aGp~$ z8BWh-4kTIkEtfN^UCym{dEv??>1%&RGUzj?zd&Vip31^uvgHNJl|^!y_hGW9C8^tU zyk#ai-y@T%$57+AKRm0c*6U1nnVmAX3nW zh^9qut;3>y9Y;-K#`llPmASX;R$~1 zo-1H93F1XIl|1Kew766ou+ld7$a@x3D&>^M$>}unxk%nql|?>rvi#mBb=d{@&_CF@ zNxJ5ClF_T~oQiEsPQ@aaTZGHrF7DPlCU32Fd3&SBO6zt=*6_$ej@nf8-}e%Cq&j5V zgpRw9>d-sDJ2&+jPytmEBKO{eOhSzz3Ib_eX1QgM(q-yB3v&y4D1(+ki3_AOiKOU~ z#6WTf;2JodMXxo)_Np|x2G-CZ2o)STL6Djy7EcmWC5lOvOe`uS_CPrP0)-a@^evBp z1*AVkFBF_Bo+cJc@mb?4V(qOm$bJRaSfeQTS~ zHf}gv7kgZ=-zFPVFhqf3HchM$$FPak#D+-UWXIH8k{}ZcQB{{vuo>7c4Y!J~`iP>2 zoY-Kloa3kOJ_Q+geQ%d|4zr|ZQ?=^-zr9|E@?L8LqzS`)uZ6eCi;o{5wN)kFk$0Q$o^ z!i8s8mqg|&kMikLpJh6;bW=0f{dgAn zMv#(BOyOfEO7EM??ajKS0)QYeoz@T#`1tYCfh6mdO@lXAJ6zc4v(_=UHk!@8%`hx* zG_Hc*WlFPoJW-Fv)t6q`Nw9toP?AZK^&SrlK_QhX@S%jp;QTU=m z-0?n!<3)UxuEj>rA{KBaO|cZ4STa0dXhsCQ zF)=JTwL`1CI{i4`lw-)PYoxU_PgNdA_C~59oz>`o?Tu>7O?zh%cB;I@|NPibP&ew7 z<7IN{6jvI9eM#1$0Oj;H$$A^kkYhdZf2UhtAyb}bX7R+<&m1Ik2qH0M+XExg>R;l+ z%O(Ec+h5~vKK&z{To@H5juDZ4$6ddhz|;Clkyo61=-1BENSsq|F+`;jD(z?Q2K8~(P#8ruu9vPFxM!4x94Cz}520@mA>k#@w zlyHa~4iUpHZYUrq8VMY7$$+`}?3QEjU(_&NpS}~&^#ul@M5x3GQYuZ^#RyFnQa+u) zWNJP~s*pgCB}5g3OdcUOk5HIH$ju?hcjjXh1R=GXG#rw;%tMO>+Qtvl9@^yMDktJ4 zoI!}>_!I;vB!Of!AuJ|UBtgLRd}>{5+jKJyoz!J|*0ZSMD!J4wA3M6l<4b>z2nSh% z+#($PbYxW7U5&ms^FTCmy~%pCP1qJA7-XUlt--zP@pEzFN55Km-&pbMJ*SV9o8>?-Dl}!Ud zjGA)$lB~07D%tWj$$AS0yN=giB^P(dDblt9VE$0_!>+Z>!LYi~XJB@s1EPXkOGiax zcNM|va9q^j>Py_HTU?iqGEhsHT6BoAdZ6gYI4YUDHz~ZOqT;{(xBqt6e&Jt+_<&RK z-s9a!)+c9D)Ose3+JHwEvwZwSiP^i1@x9eMX z#&V2LAIV@A-V_du|Qh|GFst;@M;kE_jFBUyj?jU-?D?hE|L zM;_tv`|pe32E)j=VXYncHf)DTLfelRJi}5c!KG%6W5p?s&K=sngT2+AKfkMkJ;OqB zmLGcXA8i!_g=A&I!Ftk7d)G##CbzFoYMMZfacy1UN;8WjxCp{dVwtXpTN}_MPIq_A zES_Ly@dTb9u-Z0QYez-Nq|70_3r-h!Xl9A^^a2mfOeiI(@tY>%!$FTu`x+hdB5NBB zF0Iw*1abNr*p)1W(lmvn#)+vU3xx!;*`4yFKhV&UpdHLo6(w;6ypisj|*YOd1sfP5cX0jGGvi`KCqg%v-dsU%zFDj_XHV@V@2J z9N4(^ODO)3ptFizOcP6_qvS_RM(RE95~k~Oy*c2_S`WtyNb52)Bd1(h6t)V2F;@Yi z30I?U)3;m<$0sCucKskErb+}vaL&V}1oEhJZhJn>fz8137}(x~x1@lmCW&d09CfNN zLwNNq5DHXNQhQsTE>)_CK}86M1?=2Us{?td7! z64?cKXdfSuU2xf*je*y961LM7$jrmTpWXRBHxqmqDIHl#h7F-i)z5OatMHX`9eRd9 zDdq6kl1VPEY~AOHt$SE{R|C`8Y>cH8cRf$Io#+@2-+rggZ@;ii&vu#1MoMhEN!Byj zZHN1<(9_XTI*y!Q;&1v+RQTl%!SSCxSjO9IM@3@48eMzOj=mqlSu??x>=bw=)1pUF z^oeO5ie8sYxJ*`5NT;V!QnL`B9(fDBzw!QHOa79_2a>XP7B?eV@26_;wLY!kPMznQbxX6cZIbmuKF+gm*Em;=iV=5WQ<6kjD8#vEI`W^G zns7W`Dkity1}kdNlo+CwRPUSc#VNJMPDhf-nDjIOHC0uT1wp117mu2fq41~ zL88R-S2n43%pFh-hzg?J#NcrRK}fS%!@K+zQ)-E6b!3)vn;mRKnM!AwiYP}ip7H6Z z8rKA}t` z{sCUF^KXSnqVuKY>s)L$3EdPab^F|qTIY|}!j)%i&O zB86~(=mi|By}UQqtYU~q!;3In8ON9owQs#+?RdYNH5`87Ll2T^wfUJ3J@|v|rtb&y+0z*4?!3;P zwN2Pwdle)#@-@(su=I(j$T&doq0^|cwz0ultIwuo6S4xV&>BeiJ(;p1U<~3|ZkpIc zVw;OA%;sVTPGW!1G3I?l&8LX>acQGRb6}H=t2kajA))fgd&;-R`OGdLKlYDrjo*Cu$v7!lrEvUH%vLJo{7r=ZNFv*6!A1)<&g|uDB+EA~(C;Mf zXy^RB-}^nj@P#k1yu6IFOT+rL*Iv6TC-y=7#f?|4x42jvaJUp_KA+f^Xa$hnT732Q zjb#1ITUGwx^)-sgC@~l-pg`2cpUuWN`7R`D&+~ZU>L#x*w|V}Gw5L0o)Fh5gr8red zb6+LB$MJX^j~>eJuT=9c9c-K-Zl_B1##O#`ZiV$`2Md*!RK%Kogm}I}F{N>QD#d-X zX^xjt$Om-dyQa%4*IWF?w=Q$NCUVxh#$$(zqt2VaOeXp~DxR3~`JeEdyrsO*%cDzI&CSmgJHNm(1N)VgG0v9iDk}bL8&5$kTI=aC)Y)16%rD zkb&)O z@fo~bhH5cIBCX3zr8TZf0!=3%78jAq3JBJ=pMdXz*~S~Tuv{P0ml&YqN(o#!K_DuT zLR&_|@_ZyQ;z`Ws<0w+(2;3h{7J^++sH7&7)MZk-yw$0c1%Vrz2AU+Y);9LQrxKbJ zO+6;yQ(Ga4ThjqjS!`cK&m_?Esr?PhCf$oQEt)b+Bxv3MHVQL-&Cw5LIthLQ_bk1TyEVw+R?3bk55 zb*NL)6iRY|xm zwCVdO=8y2h_J611uM;ce;P{c9@42NIIr0{92GO)*P>-Z=MJYl`bo;k|{s+Wuf1>~4 zKl}&&)xY{z{NgYEB7gKpf5b2S(l2r4$`xLI`DH%$xzF9T6Z;_kV#YVlZSdP){wkO) zY;B5%?z@+{a)cX|#7HW2yrCSVaN!3bZ!Xt)?b$!zdc)(H7tiohPd&g~{?@GHuQdj| zx!UDh@6`E|v+MXlNJ5jje=f^hHpby{;?_yl)h>Vh<~kQPdO$?fzPFO*^lXL`(<$zs z&9GFu%a-<|M7*ZX@utz?%4U^beVL@Qi9GBO0EQ4_HryZ^yv5&K=uj?CjZ}paAZ>5b zWB28;N!HNzS>7DdHeBK|3>}YrJnE#Bl6wog))*4Chf4q*Axl>~!h>0hVXtv>Bfc?D zWNXAb;wxPI8Z18_ja{v71bdqBvLa`Mt@N1|tuW+abjPP(F$FsZhGub%#x#=i*clz7Oyk|#UXlEGxB0-E2$nn%biJ0*Hp~Z+`2>GnG1+kV zv$tz}|LP_JQS$uAVvgfesV%R8{V?0R<9xNtx1W86*3f2Zc8S07l_sA~>%>$EKL|Nn?XuRjFl~=iOu-ND zLSgimEd(KwkdEiK3ELOG0&6dUngX-Mpu0)cTw%?qQny5WNgEM}vq-TFQ-!gd_Tu*5 zf9<>ceEW~N7|d}}zQF_c+>5kW`oaFKyW&&vcJ<13QMRDe1?m) zWeU>^Os6Z6!}>U6HR9RiMo>Jv5B>FMiZPZG-Z(@5t*_s;bGq%K;y?fA|IBax=5O+M z|L))A^Pm4bzw#@;!r{Y*`PEg^JW8u-7@Vew7E3 zi)5x2$(0w7GwFRzvrK0j=ep6gXsljA?yhogIHa`R#(V87EFRg$&Bk)kLPx}Fcx%Kd zm?T+WZw?7Vwl?#J=Ck~>Pai`(U|helY4G}Ln|C%Mg70{v@%(^*kU~O376m?byu?5H z$l>?rTJGzCA%b#&^aA;JexC<}3wTPJ6N@@!)!C7V8|YLivlis2c?mpeyDKIN zaHO21);C#M?(^i~0v|bE+=6M1eGek8i;3y%Op?YOzDhQR=@j|>R|`BhbSTf?p%GvC z9+-PHGGZ#-3-|mumM_rWxK6LJO5bSX2kQV7fSjzO=V!@GEmE9WB%K*0{rN`-Ti3bN zvN)EH^T>lgeJ}>~fQa0^zch09&QgxwnOtedaQM@+Rlc((P<`$OnQ>Qsbp1<7l}b`! zIwq15147#(XmxQn9Gr>iLDF_eI38j30__*yJV145|FFDBq3X)zi|BTP^;nuyhv!J9 za$Cvyt%mOhoVj#`wE@HuDRf1~@+N!_B!Rdlkx*rdNo|Mk0YnMs_2z&^vq9W$VFf7$ zF`s05q$)FVt;M&a0>kcaPYgzQY`?e8z?0Z;R0g%{IIhTBXL@AvB}6?%ID$=Sazt>B z;6c)kE_@IMm~KR%t=@PC+3BzmPa~SscyfZCCy%BC3dlu-WRZj_kd_=$f`#gjrYfNa z#wPvEb(XsZt{@Vm%Y@|;K`}=%6(^rfP|T-DXA+2-hA%5L9jI9W>!yzp%7lu-a@*qD z7aJ5)(c1FJ6N`M}WcgiT9z)xsx@m5ylq0*gA*~Tb~Lxngq+1S?oI0L~zXu^9b+G&cF{XFtmmPdveY`cMDquASTu zD*n0?wa3KZ{oI$+F@+WF7)IFSL~O_-iwO>;d@!!U^%2Q7o+nJr(3T3UxhdBA{vLiq zGGC(BdkA~|9p*KKj7ns@)r}J8bw}qdqrlsPB+G_OAZ|Y>TO{l0BnTmf6OfCmeDru} zM?qmZ9_QBkoU3-Z^e!apFTAu&*Y?T9RUVwr-qmY4=@|U(@T~iI>+BR8tJj&EJH&}o zrwNCfG;6C=Yc;CPHf<{e>Z1c6v-tc#01#X86Oet?)As&ytBLytC0i zP^Wr&#C6$^7<@O3`0Dy1>m3y*d6Lb|^5|Z85OVjUCt76vCKaheS?H10MP#83gEm}x z1GE%|UgFY5mzA|DLa1;heTrF1%!#+Rd@ZCGcslbj-f;TdU##q_=?#0KLxJPa?F^}J z_Gq;Fym@hzt7}c%p-uD3RVw8;a|wy86p|DJM9+mF#N$8@z1xl;3>i8eebZxeXwx%2 zR@(;2L6?MJ680^I*Xty+$*8D^7e*3<$%qHDOZ~`leQG_6df(#eMu(Dd6&(osB7Qtg zGLb>hk|dKU@(FE+??DhoFr>i*m!NAn;25N3fxzzLb$qbv(Rh85zYxzy=LXo8LBHRl zKQI_t7D3>%*=?gZE;=5eX%cMKh{YuYO-0ak0$HcyX>^7n3?T@?b|V>N%N6i_=vh7~ zqlG5eSf-EG^GGKXBoq}tQ6N^BAvHBierg&uu5ZbbikgZbi3na7!QMo<_5v@Q*+5B` zBQKE$KE%w)$G2dEeamHK40Y>FJXh-WbG2AXAqX(AeF_Pc1WtoPTA!>MK>J2?K=c`pA%**>r`<}tTf-Z@Kn=g; z_J{fmCtxJCT`-btT%lfg1jlW1MDLT49L>^_fPe4fH|b^AV*wRb%y#|wCKxy6}h{|BoLm#;sU zpJyN>L51*c8ajF0aJ4oV@!r$E&$OwXPOX~IPT9?h& zzd^#@z`3ZCI(?kt^r5IJmz>(yPh>yN>h)$1%k{}8)M$UOyqgvko)6uz-^x(H^->J& zBOGHDc;&AAowr?7OixeKYPDEgTx4NkffrtQfd?LVfNR&T@mIx1@2?|K`^M&wH&;7* zy7;h@7<_s*!=?JMEkg34xx`jt>2|90+6_956}sk?sQMQK;%W}GDfGfD#i=(YKQad{o5j0$5es0R(sq(m*&BR^tOBSZN%$qSGm-xl9tQ(Zf2Co?b!y*$_KSpS3S|hT z{zcw=dzPWLvm<{XBxj#Eup^_!cjBIRDT{d4fbPaJ>#skLcJa$(1B-fW3HQj~K`TE% zA~(fcK29ZDAr~LvzDLR;L2sR2{RX|w4LU{_)44&S`WzqczK$fx^sav!@z2h{eIJ4B zVzfcU^IMx{=y}^71df9}G^jWGTwK|t_u7|;IX2C7ftC3R=~Rv|lqXgj8p6A~5sej%x~9YCz`<~Q2DXds1-Sl*BupLyjVuEK zrv<%klzeqpqT)i0M@ED30-Z2U%~seL26PM;*AMW55X*MxhH+AYg%k#4MU%rx30*Oe zgf{p|TsuMA)aiK=!(ChgQGk3>rRFcu^lfsIjgkN`qtA3CjTit!UtvI;UZ~@s;-O&$ zGM114Tm;#sN)8Q|tZ0x=`y}!z$ReTafo$N3Ha$5(Q_9j1b9A)~o}%H&GNC5Z@_W2| z;{nnL%qv}fbV1`tF-}$!NNVz^yxIiCjGTj0GmtJ$=Q`=LZCMSCPElUkI(Wn*YUi5G(^SFIWH#}AX661TC^gIWY* z*sY#6=_Q~>iSq7l@4FdejT;V?td8r4R68b@E?#72Hvu)0y(xvI(#z5 zFp^3(##BmUqqp6#$i;)5cz$QRo@@&~go!c@DN+@xS}GmO=Z)nytG$3sJVw`*NsUO> zju%kx+qX=zp3TMXxU)Z==v=?>I?Z$6Bpi4=|1A^kLk}`DduZRu{XyaR0TFJu zB@`;<62++sLOKQd-GvnH<|&Tzk!ssy;K!-tikMcHVY^OI7;I1d6D7RF6b+%ks*|AF zbN8LTJ#wgk7ycNQ<5Ns({H^1&J6+g;o;iBPyC#jkLoy6WYA~mPEQ$1sNBC~v0sio= z{LQyrRDAN2pX5tl`VtR4^bo)FOTWZF|L6al-}}Aaa#V*p4Xc8nn8dUOG3un81_i|-8@I{E)={WI{S7dp4)$=h#jt*zFMjV$ zHi8U}Cjrxt2oN-f*_h3}i6N)sE#~7c&;fT9-hORM8{56s<*jS5T+Q>>_WTHlhZQzT()Gn~oHZ zX&#EFgEv?O|>nvzL~|dVo1RPF~3gS-XK4e@mmUgA&KsHQM)hGJNphH z3W1;z3Nb=8M<^u-l7Oa23AetdW%X&lQF4i)EYW;jHr+p zIv%bUk)~x)K$S&uahZHVq1p-<`YMW?M9C*Wwj$1gYvP(c+C7U_V6y2OSfN6IgeORd zqDEZN(PA;YSe9#>3hQA=M)Ei^6(gSTaf}`V+rsV+aYt=tNsx)l2|_i6p3IO;#JAvw zbGbM}+asaLBw{Lps^W(Z9b-txwCLClt{`CvA{GK>D4=QzTDpjqD-&jB5W*qqnLpue zL+4aU<%ysCJCvvAXw{Z!*H#!dR`AU(2_OM10;=MY$QMbM=gChmQWHG>*KdD?Yb}e? zbb=?J`YC1-(_n1k_eOZ)VLeJ*H!nxW=pGJ}QF7B)ioCVzb78g5iXBHWi_E{#M^9`Q z;Jf8X4}7l7F5R9@IaQ`(IIOn!CUCG@Ax~py`&2s?FI;U=U%5zl`TGbVv^G;T?>#|r zW)Uh6N5+xH<~A8~q@FhUxA|&{i$;=juYQ-H(c|~b4pYY-LW*UWoMKHDMumjN<}gye zIalp&B{gP!gPtAW>2ZS28jZJ_7#AcOUW~q6#L&x_S_whcb`(b0_|7$TPs3u5;KK%X zXN~n*oodgeYP4{I5yV=QFvK+Zp}|L-H>q1$+{6^Mb^>`q!giZveRE>)?Z8EDnC>z8&mvAm_LNorZ9z~NAop;t+sOP?c>v>4m66p6F*|&pjIzH8IBoDsP+bNry zi7Q+$+{fM6(`brFYv@u) zsCy<-U1QrwuraU+Llwk%D9@t^J~N8Jq4n2zZqw!M@DydChboT<;hh`N`lx3>ze=Dc z={q5fAWb#MvMCg>)I8y68l5YYS?xcCv38!>xJFu+x8b)Fszx=T#GAboZ+AqN+vbkx zST3&8j3*F$o1<}ypE=}mU&aOd1}u*zerjUd&@(k1t>w27;b|HGNlKo$0QIsSglpM-4>mVEA*{*@Pm+0kjQ8SVzCnO;sR6Cv&`fYTgJerDw!Px z@t9{BorA?-BDWI|$;9O?WJ1KVTqGq}{MK##r3c4t7Ztzxo4-jgl570j=RQZFP~f@e zp5v!}>ZkZ8|Ky+CrPKN#-jBGr(c?G1eT9ql0mXz$b^;47iLh8maPLft`{%Nh)BAT< z{2=7nw>Nm@dWS+%-P37LCsS1B%FJdTjc!PwtmYa{v&8>WFZ{TPXC ziKFEtrz#olo6V5aN4MuLZR~!#$(uEcuU)^&@2;fq5J`$_oSte>%;l*Rvz(aC?eJ|F z$A0e1*PA_hrZ*ZP`tLeIgvhY3V>)yUm%in4ty9Nz1mrM-6Pmq!?K{i+z3#%eFAB*BK6M48y^)13Yv< zrzFM@6n#rYC#lKE%KccrgJ^aMWQD*hVcSmR%|o zUDJr?lB{tLmS>U?ZIn1z-Vn<)u{%S&AixO(hJi|-7`6~Y(PG3^m26xYsQ}3cxuaZJ zFVJt*m`lqflOlv}1POB{m5vgl0%L!rqn_o`GhGBBvhHXOY=(BEDrC9ARwA!RB1ugm zF;W(qL5tm6OH1xQNpoEAC5i(N<`3h^zH8uuo zXvI@xXC9{7wP_m;ju+51UD}3&Z*(aNJ!ZrfC#a(e0V&-^RO$@E9`AHzT&Ke{F!ZLm zaDA0m)+`26285GPJc;ZZ(UeZ=Qldp18yMns-=??m7WKBp>8pRjeSyJ>eVDJ7GUO)J zSwtWaL$`axj1IclK{b1H9F?XWqiO35J%w(^B-2|XFWTVTASYgBsys)sI7_a)K%ugT zs&6NvlhaLW#O-)xBIjUWYi?so@ZgWdvD+ohO$3qkZR&5o@vhj>n21N1l6 zL3YSXJr1)%Mo>wo%BZQi+t$aAU>+gWPKM?{Csd9=dWbJ|Fo!*4r-$$PsA3zvbrsQT zP!ZOVtSc<7U!W))COIlFi&G0o%AFaFPR6ZFbfm(^c|LxW)puUw@mzvr7QooUJquz5 zI!ckMmu1;b(y_PStZ$eY;w-0&CWDC%cDQktmMgLr6sh`ITBLV4kH^$)+1%-jPOVqj zN;LD?7=w15>iQ~c8x891E`AUI4WNN6z*I_Qwwz~XxJHyXKF4N`$IPEu@s;HvQ9dg;P`BTQ;QYu zsbn}??QJ0&?pw%?8gk=_Up;EbY+i{D7&R|vwqbZ`oPq7}%8e$?zQczOMY&R~Yq8di zCXUu_*kD50Y8K=tWOI$?i(E0UQplX5COyFG-8>z49$6g{3+lv#206b$LG{VRP11T5 z$yUhI0F}s0x<=ecy(!doo<`OQ8kNhZ~ z_~efq*u~!g&uR||U6bq8I_KM<2q97!@VDkW{IiFoh@TP9Z()p0wMcd7A83Xoitze! z3oi(mNyqqGkL(>G20_T?SRtZo)7yo4ZkX#lbM@=E;gCu;$^YZYpXZU;BR9R4wOtRt zBtk&QbC;T^vc!BY&d=V7duV4F@73R8`R!L(xaSe%M?QPY(sl2qI%Ew@n(YCtcAsu{ zNa#3-u7lt@NUlRlVvnR|tzKi$>ySugiD&ZkO&4Prk#!Ysi0l~%1Spb-rby_Dh^lG` zT57xVFR2V0*KvDwlysRy=@5=%WAr;%gD&2%h2R>I@A-ne{&|i~F0PVK zC?qG`m&ft?YL&~4J_$ufmtqWT57!T{1qn}55EO~HCX&-V4#j(vlmU5R6E!pta4`Z{ zGdvRhbz~u6LrrqEbb|KO35I$G(s@#;I2m0*5kRwh#LNycvx9E+Aq)w^kj~~h)wL!K zugIp9p*4L!etZVg3lKz)xb73zd{iYslLb3I<#p?aT>)1w3$WB z)HG&x7B^l3QNZ<}GZbhK1bTxI!M0Ex1I0CvJsW#a=W55Nh(Sr|aZkl(t~9lSp5mwp z%vcU9o~11%*|Z{P*>GfJx8B?2>gooB0=Y2BM{^52UQRL__o);z_=)MrU%^SxF#Mg# zsw6NoN=CvEzWipD&7ng@v-q1wMW%(33exCa3qly!E-hPRBh1pIfT@@8r5L*1pji7J z*Dsx8!-=t!u(;>Q5su7P=(z$_L!xR(v^{l8YSdLy*n)}xbWC^Tui?^LIY+MbCYtD@ z$s!NTWjS3*kX1txx`s$VBt9`w$c=>@Qlkb)qPz{2OiWP|%lk@`+io;51PFn+B1Nbj zXNc_d=&zpRt!p((s>>0%#>bE4nVFwhckfV_e-i(GJ5aY5uGIPBv(NLHPd&*KN6K3s zMRt3QZf%)fw?)@{`+{w`i0}>d_%6%$Ai*is$7IyjijFM@? z@u~KG)`T)OKfPzaDyQ@x4ur+1Xis>$iT3rKKf4{NWG3rxW@h-do&^7#swC z1XIYy@Pm+#9WV3u9^ad6hG9r^;A}1OlkUrH!$Fqd)NGm{fQJ`yJibf$<5sl#b6n z7R`X3Mo;Fb%2yQc~L*BWB`DeDwGfmp7{%EmXD&ikn?a zfVe7c6=c(C9a$3j$kEar;d{3X%j7)n!jDqD=rWc2C|=DZTsgDHy?EQh;9%9EF`ger z-O7pXslv9TW-_Lb%*By*kpUZhi|?8>9w!1Da7!a9khWu!ino3>yVj36Ff4aO;Rw4xgA7z0ImgY58N(Z z^Acufh!NyVj6!8Ymfy*Q9^dDt;6;NhMvs8k+FS|wka}j<4A&sVTX7^i&$Jh(?L~4 z;z=Dnp`pfAY~7`*$ONiPs7RPd)J&1r)=e(jMeOtfj-(Jzs%VKgYD^}T5}3;e%$EXU zi4aML)iB`NuuHAkr(NqY=sF0t$8qlx53zwMN~A)EgmD$QU1LU75IP!$o}?Sg(9;t1 zwK%>g;fevaq@Wso;>Li5-ZE+srzPm9zKP$vh$?l-#zG`jBbi7Lk7t26154z3E#icj zj!Z}rK~4~hxmf;r{=_{-Ch%AkHmE4qII8za2$93GYw8TEaaux}8$yMKRG_Qmu;dD) zD#TPMOW$KSNHahs7Y?`=iD^%ScAa6pPCH0YQ|G8D3rML$q~m3XjfuOXXE7ntJNG;M zA20r2)WssM(xC&*fjiI!#R1CqSSV#IfZRftDtfOfoE;;LnBy7GoAuLWduk)0i)~JEbgrH|qL|a`b&s z-a*9njSg3D++fYpsH^jMiywwqetRM!3WNbjl0aP9PE)p}Uds_Dt~0~)-}oX|Ix>d~ z$0$AZBY2Vwy>)~=W}L5&boon!TLkbT2qM)%mDPS7(aYmG>8JsA6DRK7P&dyHICtq1 zuRi}gM#tmDch*Sh8X-{a#MvA!5=x86X@i(nC+#+w5!>Vyk4)S}5pO`}2Gw_JeDd8f{{Xpg7^XoEZD!;lvr>mjP(u$5z=X~Qbl$=WW!8l$-W;U)|Gm+pZTgf_ zIv+bVPd=gU+OH z3$fXwy0OlBy@_jdMpD=YYmE+Fvqx66=y?e;xG-q_hpyo= zusyDK>-d7moLmCWMxf8>WRFbDK=GHMp@TKOU4)lUM#q+)NL2Vp^_OW`0i?1N!WOgX zA(a#NZt)a7KVYM0ZRKNzv)4_CefgTx$$?YpuI4F?dX}K2^!!`T_s>TUTfs4y9D2d^8Tn z3s~<)W6g*dyubVM19KU4McRT~%;sWu*wrbqlKMwH_h--W)F*z7nZ*-3NY*zthdc0) z2f?#WPse!kMw5Hz3rw9n#`A5Hb)$=Ax54Xy-+|B~PnTJ#O-1p^BOtit=%H02Ws$Yj zt6W;G(=HX*oSLKBwf5j4)v-cEMrUf5LWCE1k<_9u<9Y%&HirjZ%VJX9THGgLR$&kj zSQay)%T&xI92(f|jRQRj4l*o*$d#B&P5RDjd(8aaEygBem+J%G8Tof4HJO=_VP0I7 zw)_EfMMRir-G*T}f{?jvbS*A!^hgaaFoS^Q%WTRrxqK2;RncS-6EN+ujulZCSXJ;{ z3&%EbZIi&Y84iauDB>ZJc1_B)w@IhU#1bje*#fCVe2AE zXk;COX`{(hPDD|4l8FSVWSpd~Y!ybP>r*#v+MN#VZV$^caomu!6Qbdf69xpKNTy|x za%EgKhN)+9Vkt~LK}#*u^A%c-isgY9_z0noB)H)AxDuqXMHyMMNml|+o<4<~juA`f zAPHE2MT8b;^aIvf9;=%^&3=gE2W*H2gH#3~ln4n?QXZdrP^6so$tFU^gU7xR@b;R= zdOM`mkK>1NU<%>^O3VVGL%KVl5De*xAw3N$ib~9NP#p&xi*Pu=Qc{@cG{g)|HAhd$ z(~lj&j7ywTG90pA<38^qwi1xY{5Ve(j}Vi=4`Hnbwe^sG7~+N+NjXVcPm|8-5$9++ z#X>Gdqjs3z_~!qhXAj6HLmqte=Q)%q(_6iO)woVDY?E^Pq{BXkxQM4DP~utib``O|ju5)QHOgEg(fk(ac#O=eR)L{xJV@^D<7qikey?efl3WjLop#F^S{W8~gIT#tG2BEknGQqIL8?}HN_7ZwOiP&-RwH&6VB4|_e zEeCtp#Tj%6tuBgZl9W7-s~svapT)FDHdnx@(qpnlTAkR*4yH^wD%p+BHE81&O*SarNpdJy)Waf0V_AA0n$|xA5;{NRhg$ z<2>A9l4diw@)pj<1(rM;?d@w^Y|W4;E=2qitwbi3ppumnQ;Uf4quVM@W`}ltjkS#ps*M&+!vi*1?yTds zJc`%|uEHVL<Se@Bfi`=o<{oi9Ey5=^? z`jzV~&a8FOWr@bX!Eik8pUXsrNoKd&U}-CH_J%FitE*INb=IvmFM6At58`AP(hnsN zJsvCj9LsfBO!W|jRT${7HX%;1I}yM1rz5w?LR9qD-;N3w03}9CnW7rxS#witI^)zh z37I5XL8OwBm{s~ba`ibH&mY29lFWz}KY#2LCm(!j$2IW$NGPD%jY!&}?Na~>5yF=_ zeS@z%@OIFn6)*4;5B)gBgtlD(dls~>M+Z!BJw_9^sZ%g@iel~vPuTyRN^lK5KL>~B z8OS1+>VpH#`^ssJxm=8y%(j={I+OQ-cg+$?sh8Vq(}8;dEGlLruk6Pmn*DLhtAalYD{AX;s|$Jl*& zHWy%(1ED zf$*%i*L!^Vipz3K;hmw)id`LbL1g4~nVHN&bPl>t%xRVGO0Mlq{i{7Btrc~O5gt-JTJsgqBy%0kJInZiNL&y2+($pe-}})0cwWHe#vt;R zsc-wCXuymf75T@?2~Jhg+%uh`)qH?wp7}Mp{SYCc@netvEoKlgTdS}}deHB{g$tmisQ`ULpy`xZS59!%Iu40E9DWiRpLuG`IaeuLSJ4J*5cFa5 zOmv+2-H7;{KLVu_Sn47TM_?G9qPe2bGuO9od_hOfE|STfq>|MsYc8@;-!_(VhU9xq z!ex=X?U7IQi5Fee7|ayXRI=r5Xu@bs^2aa-$Jla>hSzBI2AscgnPpqWO)j7>eQeAB zW71ouFoD?ycJR@}Yu};n>YNK_nXz;--8OAi!}bDtri&kdC}^ZJb7W_hI9kv-mNc0a zJ0zXP2o7RF<9qy_;WzL-59|}f*L%PNBPFd7ck2Ks$<}FwJ~?Nd4L6Pvi<3}*(L`cW z-g71s+e+rUrpw#wJ=WUW`_=Vk4>ORMN+%cw?BTLx1Ftpg2ZUU>I#;W(P6w zNVjhAqpdUOVL;2igq5{9cIwB-PAwwDx7C*>Wq-%&R<`HUF@rsdX{vp1gn!S0n1k{ID8VfBsua8?a-zWT`6;q$8(M8> zy@4m{Y=~v5L7u9Y#0XPB3Q8e3205WmNj{5Pzm6?v6r~{#Sar0EYa`j=>1~dHet@#2 ztU`7k;n*km>0TAtY($d2rTrziZ$=DG>I&0o9ndkcx(qI;-eyC@hNCsi=GEHjywMp8$+lzTT}-D zroRDfjIM!3K9i*~Ri-jip^(pwo~s$i>HMns1)9B0rm{)q4j%$hzNv(=B1yZ9ftPrC zt-OV7cyJ7ro<1EB?1mHh%J5*Whme})(CMdXuCMU6zC?9dp=(xmT-Qk>$FX_e`x&=g zRJ`-fJACw`AKml)OeRC8)43bx^aGE-h&~nnuRnN=XWyKmDPFji}xdD4sSt<_Ur15W9)(P+b`VUoA1=|J&`m0Rqm~1MoJ+uPE05F zC0XxYyv~ofA_-My({S*EkQ37>=5n#U?$N2tma@ottpWNXrpw9QHkCM*Vn!NxY;7s=AhXr$5X`?$38$JBzN(y(?TQu!LGg7rpHY3P`(uFIMtOrxrocxB`j>dhP;yPue^3$<2)@`Tl}tX`yA ztxz0Gk(Z88&;sc0Af_jb(bj?Nbm3mQ0)`S)^(wANnEnk*@T)~~*(Bo=DGucfhHExb zb(N+mp-URN-G}7x(;ba+MPGEPpUBsL{v40Lu$Og9`v|rvJTWv(ZX!jsT%u{{VC0BM zqbyZkq}?ge6?78Tx(UZtA%_NF!OiS*ON^h~OQdHdSFCskiEM>k!&&wWTOog?dTUM% zP!tHe9mE0-uIvr4w3Wy7w@<#vi$f!<>Ws1=)WcVw9z3nLj4a8o`FG`vT}@l>ud#a~ z!>Ya&WIEQfFI!>4Qv@{+o-7oTI2#$d8Kqkvrp-*DRtKT3LiS}mipD^^$%$$NZ&_i7 zk))~xP-Hj$aDbp&V_8^cfjv)D%HpV|tPAJnI7WP&=CDbwYOp(F=ivTVP--$S9j>rc zEfI9tT05nFVu1ldlNXJXWsGwtVf?W5CS1+K*nWm53`Wf$)W`6Qy-e4t8;Es8Y4p7ZrNWE&^wH!YL`8bVImR$B_PHcY+e{LU6QzEJC;85%+<88}uxHST9gP_Mm zx5LRMoE$&p56r2csv6$ZF`Ct*~#4S;6phFfIjoNmKdf;y$ufgIHcCHg2N1YuHqo zu-i_X&(5-_m)@{z?ppn=JJ^&n*i{t*F=%9A?_}-mN-m9G6|_o z{PH;7^vjTbnTBj9Erm!J0R|fZN?3VI*>as+rHLX-_?;R(K^KiiKhIV@q?<*W9U*SM z(#z671v4L~m`gJjA0}HqX8j(LjA;wvv$tbZ0PshXW=I6zmlomi{~m)8&34wl=$#b|1bsLQ0gr_cIb8x`xK zdg8eC``g^Jdz+kE=_t^Py8gq~znQmVR$kt$X14j$^Ay{C(>E30yEZmwIPdF4ILzv5 zepN5GT+zf?E4LH6j1AV zI^--dIYZ2u!=>h+Ita&sxOaL7#M?>V>bKLA+Ruc05xWXL;wKZYTSEENi+NwUi9e?j zZVSwwcUf+g|DCx&pIzZ`vM0#N13P){NYc8g8>~RD7s(YmbEw;_)87is-ZhlrThAPs z^D%G48|qVWWRwZ{X^>$e zZ*tNw33>?zYc#_{I=-Wtl?{&C) zucW|uvEz7#BdH?gn$AeJ%-fA3Zn=)jtkaiGa*by<_L2js(hs#| zz!g>u=48@XE6MsmqCg^7Z6yblt)$e}-`S#e51+niG5%A^4xZYHduF1T-=)zLcGA=h zmP9<Y_Ou)U|AuiCof z*G8LkrfSoJkX5jGs4H%Yrh`J$L8+#rnI;|p3EXZ6$4hBUqe(!mvpgWvW~)HG0u$q{ zEA5#jM?I%i1G>;A`yLdkR$S-ITo(x|#Oc%|>khw@Qmu(oQ!q_9IZ+~>tCDTShBjJ@ z5k;1;s|p^6Lc7;N)MqE+u|nM@lfuGo8*aCabh$#Mn4?+Aqc+PZMgxTkE~$z`&bKNx zg;4!%$o@7YZv@HVz`1TUS))YI7o|Peg{j$?s2e1+ITEA86bfm~>crHRwoh#kv!&^> zkI>c@MQ&S+r_IUpV}5MWC_mTR*gs-tH18%~>BVl8@t7t2_6lL8%woU6qCk#?!8{&q z1SBu{u_)hsN#h%@WEiWuiJxe&rxe1Wg;1grLA6FqPq0E6qOW?8U^9(FFGIBoL%ZPQ zkE}b)HaD)L$2rkh%-$0w|9UV;qUNC7(5bf;1WubmZ_vd+#Lb4jAbk<{R1Ofpf9)RO zKVK@5DY-csFLP}47-6?n(e2dUGH3d`8cLV=+3pj(@G2CIc3wV~;<|yS=xUFE!%w(9 zMptl=Rk=j1S$Cdu!`20OakLdDKaM_jh-S%7(d@xfK7_q2(d=1DhhHJ+wyMNsWY{@5 z0H;br*J!4*kjtYMvuH*gGAVAY>_(Fs#M9d`)3#tWam~NQsj* zHwra|8g@GDe%`hy%;KoGbtB34+MT{zcd%Lgt5$dP;;7ZUtZSVWqgTmVi;MEabiI97 z#EJ=@ym$@tSievE3RdR7fl?eL*5${wwhsaU%Jn8k$BJ_nvN%%}o0X@O)I2Aib|Ne8 zBwrY%mLJC93_;J$43=sX$K#Z$6EuxDmAa1F(2;c;PFDvmZwK9x7_!4NRW|q91!2M- zjhA0NLVrhynm5Y!2E=RKG^G+wc?_qP!ljQ9P^)x1%LH6;T((i9{9e$lkld(ZptxO( zlws%58u>~P2twEZPZ76~r%TBZlhZ`)ITR@eg+Vy@!qgq?j@|(}!anF&MYDIKwPRIE zTNkFqBowDFOc_69%|)wB`_%cQIXQ{WmgruUq`jN2-Z`!_XI+S|oqMM&Gsv@h6QpYrc&e~C zj3?OM3eApAhi2=|84KX)923S4!q`Ew*(|RP#);P))IBxm^@1~WT5p+CODNC0DY|DQ zPiB|Z{H}5Mal9)R6YlJ9{T+AAE;~F&g-42`kWb*vK24+1!0vCSQ%TVksnD^k>x|9& zYRwtFaay6-L+R3K&57sZoEH`M+;b0~`qZcR%2&REBuT{Makg*Y&SyUJ89x8{&!4w} z{W3Z^QRF{&Cwbw-1SiHzQ-5&zO2aD3j`gwArnC0+!a^1kYE6T3U8mBReFwT}mKn6E z^fdt*g!DmH<)4PVPs2e61P3^-Eo57+lb0t{PEO2jf~P7Hi`qRrp16^KF~JHg#k+d) zIP9ZV%IMD25Q0}E%Cl)rDNm26nSSNQIyVKH1=wQi(#Lf+ua@7}Tb2{7rTY9xGU7 zEho1k?SMnFLaQPkJ5j#_zoVCUYK(NgMA+vh7IZ_ch*>L8E|(}&ObXc&RlQYqO;$j4 zV6!>!dOUdDPCWJi3)|eJ%SFO24{aXLbS0o#VLGPxEJ}{%tBt98|Gqhz%AH5-Pe;qkiZ^ee<%6+%h@r7~{K z*%Te*G)gyRw2VvqE)k>9PiBX=| zHNj7saq_Z6am<6w9!9pgQ8g8tTgKVdgX>32FUZqmZktirUp3?Yg`D4^k z@suj~vqw?gL4sZ<9bqpk`=hMti4Y4orpgdj>rM8I>19IF4j?GXS2o&003i~ zNklsPnyeJF{%(3| zMeAb86}Bp(7<#K#{}5z{&`pzELndX07}f)1yh8A0e(caJT?SDtGIf|sY zSh;W`fk?;n&uapu3b?}4iNBt9>n21?ykjFa2 zJ)g98Tk|6nPVVDd2al6A%J{qs@%P<|hmB+KqltZ#^(KC;o0w-UPQ^R* zb+=6=;L-@VY?wBMxPJQXTeg;E@6J7B$K15}{VeWSh1b^wb|1*<8AILXZDyVbSUY8h zeoD9F1gbkqOdTiIUB$m>j*u=z1%H=yOnz@MIdxteqbE6$2izWP%>prdk=Vk;bOuh} z-8<7w(PXwlL3h&`Y^PewP|S`ImP;_YueBHt&))HydE-LSz~2r2ZUWvY?`nL5aBT?5 zAA{~LIAsiz{X|Bxm8nkLlQczQS*MSQ%=v5jch)6kj~_qIz`y{eY4WFk`lmef&_k5V zWdQ7UJD>T?XZWB0^M9VVfn5sTjFPgyIF#aN`$pLp&ofr2&H9>MmFbVTP!)-%506sU zO&qGs@4ss?ADB_Ksn*m<<*JP2Yb3MP(?VH79vd;AokO|3{Nvugr&Q0jkSRX;c*-n%hrrS2r7$4{+_mHk>wvAMZ)9`(&0iJps0?>crG_ zQb+eN`09(~hYq7>lUBHpZXg*3if-akG+f>Y;czGJU^j;B;P^y1PHK2n1Fy}*p|r-S*un0mSQ?{*fydW_*L%u~m0oWxFj|X@IZBS!6(LZ6rEb0)C9`N zC4Dt>=}NXUoF>tsPJ#NzHS%X%YtyiRK&VY4AA%B+O@myW0D z8u~u6*}!YpSlZu3PyZr<(O%kOeR$k+G#6?$zM>Gv%qJ+8iX1q8oNePzVj_{VMX7dd zKz4_)DH8rx&Wq2fO_g>m*L1SwI)mvFCsG-5#WEA+34TR=23gWEbr&@w03Ihzw}#|% zqq<$7Icb^>$~8Nsik(W;j$ukjris$5qZ)M>A7!)@MKznWX&G*9kF%twgSyQ_#TlUD z3Q%=ecd$(pO4Z5Ir83oA39XVLJ(S?N;wo&^@K9l$JIO7b1`AwOVm=#Aw+Dg)j63_- zllQPUr*UGUHY-jyTdwhHB2QB{=?XY`@I6;dHKhbA+;Q@5^}*3Rqxl-yN@FTC%5Asu zg>=KIPjNiO+8GaHTJAUG$uKo}MW#dvH6=AO9hgMy)$-xBMyeZfuoMwyKX< zamF+5Jj)VMuYIcGlEeir3kO)%8%1^o`Tnk9b{`tz%4L1rbKRnOU5vl3$?&wv zu#LKPQ>Jdfi^CQE?iGWi?xEXluwnTkf*pN;G*uMj)It_#vM)ZtSh3DP*mc&SPh*8D zyHDmhkj(SKi8L<^#nBB3r@cXMyH40UT?ScIOWH0Mt*U;U)5=A+S z?JYxxTAqoKm)JY<44sWSn&zUb{|0Q`SD$f54FKKx-swd~i9`7$Kg%D-Zm6i5iyr?v z`ol{JxU511+8JW=bpvuGiEK$???|45hYif89iLX^rkKu^VJ|VaL08yMxUB=p7d!pJ zd9EpHH2Beve#E=q{cbev4cu(Y4#CS`w{{*}5o=+5mZjEbGRF?F@9}TZZl;K|cOkEv zex8{(Z{pd?X*&Ru{X`T=;unX<$d((lI}CnxnMS9SnGWHcNs_IcmdPDIciZf;$fvy4 zO(uy?E@tNH#67v2G8yK+=h!f-7xuilC1n>bTu5JEADcICX7lFF?BBniLZLvhSY*YD z6?i=7)_L%kRkl>+2fO2JKRUtDu@aS2N_+*~8Y?<|+_0pbcdlqdRjq%bf8Bn97Y8$J z=nL}SHub;8>Qlw3&FsEBon*a^D9;?Mup^P6hfN{mwmMh?NJuy|8HY>3 zuF2GqN$XA0&1$RhS{+Q2YPN!r8$mU6O3F(p;ib4ji>wO_)nPTLa)zdoD{0m+Y6U8# z9JOMOdcBNplrT$Ul*~8^P%RB|Wat=9m)Cj@)ovZ9ygM~?lUh@!SU1V(3dxE|-abmh zsW72ssCy^qiN&x7LsVQ2(wd5)shBpEx+0Tpnj|Ya2gh|%1<30%x<{kgr=mB!IOQTb z3ai|8K7I`>9Oy(2bWLs3Hk$?q#|rEn8RyVwVOGL@p;F}-F_ySXNP3p2t%hRmqs1xE;n%>zy+ zn%#<_54cVIZj+(m3ABShMXovN(Movy*4=Acy@;(|#FZIgqUI!Fgh&`cN{XAN=ERf$ zyBmk!jZZ7Ec>h5>Mgxz%!n;@dxG@}|SxhsMEiyP#VX#sltsg>{9q6h9zb%B#6Q(!T z!P0>qu80L^HFMg~ADXJXa(t}Fk+C9~QiEKjfniz^0)D5}Eq6)O%Rt0E6-ILNis;ny zTsgTgF^uU>&6CNHuMwB6Zn_t9^i{^g>xe5?5Z^a;%AIGciQj9Lr0nW@2j;s}wr~3$ z3vRdzZ^xQesmpjP=V8Qp)6K`NFs%4X)?&ip18-MrCnE+%6T>taFE$v-XNYI3ty=w^ z;OYdYL5M89TArwsAz)-sFhNg1JOOb)bJ00*j80zw+S*z#Z%zm;unw4U;oJ(dm{r1b z7sx7&)Ht=WL}TF^npZ?Pt={BWY8p+7wFbpfg}sAG4yB4@N(R|-5ZwqOI~w?0HKJ0P zMb116oE5rUMf|oDln+5oBVteSq9e}w{@dveoP9&OH)KY5TCUt+B$Xnb9Azw>W^iEdpYVAbLec?FWz_iTn;SAq9{5=#|qSNPKU0-m{g-FwY zR0f9A3ZogBLS_1EiL6dTZ=z^L>biogmg$Pv@H#buP8)ugZN^O~4;k9X0FvIsQO)5j zTa~3;9K&T)NvSUUN)ERxPc(Fvi#E*(nv+7c3wv%qQNX4)kzLB!Ehxac&~yeV`8()N z*jXe=*bS9cO_}c3*-<-9qe^_=zmb0V`_yd`J*vzHmcNaz#gx5skmO6yHoCK;9iw-4 zY-7i^ZO;yNY}>ZEW81cE+eVMA9ejPxd*ZwC{&6Gjjp&MKR%c~r*RS%)Co?sVJY93w zNM>Q9uqKyn)5)x{4>Bkb*F$POq)LhcsG;91&1}@+&<$`zhc$EUE8$FR%H8Kn(Wj34 zQ=M0);ue|$lbSspPu)(ltmA=oXo`vD6Xw5Q=98EVz>bwm)qJOX4ccmVCI+u7mJ?O= zQuj)n8g!J5FQ4@=5>Lr)Zm5X!DHUJVfbYV_Bw^EwawJE5KGl#Wol3P<>rJKmFUQ%% zI@R^MyHfSE;-Q!Pi{N}svRb&?1Q6_3i*N<}&*xs6(U zaydA6RW2Re*Sw$PH!G#844I_N7$kjMt(1(u?8$vA%qzFBKbV#^5)(S6On(h(0yV;r zl#^s5S!3{&dhM9-9eW)~qhysvJ0_ycP|-+-YD(>5ZG|YU3o3^PYBmfkszN({cc&Bj z@=@&%z$NQxG<{H!Fvw{WPkUQeyT?jX?$_oS)pf#0n+z&rt_@m~e;1He>0K~{R}pn- zqg>}PBxUQDp#var1r=qM<@%E_s8T3aTn&;YDUc*t*6 zkDAM}q+-y3f8K7ystm2b_&hfel)qQfhevj5xrz{0L1XsE=sjt^kk|PaiL-|j zi+glMPmd6L^xbbi!*Jumi5pU%9gfzU!e|c=#VYeBWNV zv%*TW#g_GU8H~~bI?2o82~b4|)az?AgKQmP!-gD;z8N8B-&9G|eh zD_w2Y;zlcw$yFLD%r#?R1;YTKF)`$5W}@Pcm@HtjA}7WiPW+u%kM((a_yga3A271Z z`lI?;Ta?@qo=g!V3FlE1O6+G;ky>b}+v^1+)CNnQbtBplz;{IdUNTFXRcONt(&Jz- z(y*e8IpJXhmo?Q_DZl?pS7X5>C@ur_&T|R={k|^O_zabLkYDd+q zQMs*5b_hQ^CvI6G$1XfqH4}pDch|jZ7<;3DoS&l21}w6JAu^30Uh7`Y?qVW$E zzuxm>V+_tc5*3}{)sFQONt^lqh65p#O|G4W?V5DxM%y$nOopqpQyPijHl4iRVbM2x zm1r%MhZm~U2T_a)$}<08c7BS}L#BqeQT74LT1<^+ZcU;gS)^STK8h*gdnfARpIp3R9?QWF z?$NFcQ%_GHfK>hX8nz*i>gN%TknzC?J8uyBI71#iU)a{t<%OH8bcH`%oA11)&&DPE z7UV;qA~|z;N#eXnUQ9bM-4xkD((BV@pJ7NS2P(d3uuR+RJY4i+yK)PoUQnm@$M>w0 z`)4gZECBh+NBvbTP}?O}gx31w5{{f~g)6?_sNNpI1WHX>bt=O%lcRFsr8TYAL5`3^ z8w$PrWm8IQ-%!rXn@#Prd^ujWI82!6*r<39!D*pNwVeC!dA(9ZBrccpj488vlO^Wg z$BXo3->K%$*Xqx`C!fzJ2KWHJw|>3@0I1cxhR+qYwsJuo>BseKXNN11Q2w7|gE0e) z5oQ^f{=m9^DaHohM?d6p50Z?s=!G&WW({p|^OKV#&O*VUfoJyDYuUAO$a7;~=V?W) zCf0LjHoSC@_uKZIS*mVPW5PZ>DjnomC@@c7%7%pzA5DVk8#b+~>sH{uTuNy6xP<$l z#HF9UVD1zt3D)|nPeU?i;rne%oD6tz(af&huFHCDYriTBlpGfY>+K>`z&HDDsMvEl59k$3?0SzOWUSsGq1M#O&qf)&`DLZ&1l|Y?Slzx(G>FiRsT%&9!(JrX| z8dL=gtHwO5!LYPyDU~&BQG~P-u~K8%kHs{oA~VvDRhA&d%3krNNFk+I(y($UK^k+e z=FDb6hTe~byTk`ZZ<*cj89`6j85%{QqCmk}2!dLwZ<^t5u zwmV40eas($8E+qJ6g;9y69X941?Cwe5(Cs!BHFp(3E`)?x$d@Z;1%bHwoX2wGH}F( zr}=MJ!=F*gRFhQI6Fz5``F}7-Ge_lVlH(B0XdSid6qMedJ-zcby=bu1Bda@2POazV zoRMz!Y~vm}1)3`Awg^B_L(&wo+z=)vZhp%2)am!rd1-y?gsLV2tBcH$E{vP~znGZZ z!lPV0c%9j5!Szg+{F+=^Ao7G0MMdaKOB>&WQ^fi=_X@aGHCf}A{7=t#VM>wq`l#Qn z`bOmt4D1uIpmSJC2B9L4Uu8yv&V1mH!t}`t2cj~NW3u8Z14BmI<8YUvhYjN&>PkWudpWmWF$`mbUfGqI z$CCU&@h-b=_!$>NvRS)(UI)1 z$|11v5|5gqa=$@XL3>N;D3}W6Vs-k9)_9yUIC)TSOk(Do-W!OYR>(IiqSX--0{Tw&t6bji6+HgoxkvEuAHr2F<+huQ#fTLchWHgC?&~lLqfsUb1!y;Y7 zD{Ob!y{}T|_0y16tXLRP!7?0ol4QZvwv%@jE?rrt_rh%mA*P5QXcCgBJA~3}j zi1BlQBc&nSf5K4B=to1V#@4CRfs;D=+Kqljx7TBFq#@S5h~-8zaMOle+RD|GYrWYk zMuu%e#O11J`7@X!1MA3HC(ED;w=vbwX-LGg7;TXE}n~b4H z0I%0MKBhyub>Ul|UJ(W>UFDxocf^z-dWB%Emu-&|V3p>KgsF-Rp+}Np&Q>ZNwWg{< z2ITU>xBpH2^$x|jQ*~6EME#6_ki;lJEFhQTw*f(Qs$6#^FLBtT9yKeNWM97AL!$Au zSUX<}TpCh_RpZQ|c8G2NQhvT?#;GhmAP-1lvSOBog$QG-5n_!mi0=_r6E{T22J@Wf z+DOKnjKn^ zt6o*q8e^mp=ND_lGPi(?vw|}C!2&B*7Y1QKtS3*) zCw8PKwg?7nhSv>tJ?T3@{jbGdq}%MZzP(|nse%~AI(-I-*Ahk><^iNxSmS~SOTuvX zkW4$)(A9`C2-+YIOG|pOA+BWLxtlm5RvJ8pD_}dTNDa>*j#D%_Us{+p@5F2bH=uK! z;li6N@f#gB9DAz^*Oq&LV_gXDgN!oH#eh`9-r44k9kCl}o-8Qih=5FHr;@aCOk)zl zn7h|O?mdwFk(|90x`bLo6o)iC9!Vw6Ze5u(z)qc%Jm;Pab!D|2WH_ z&VCL_Qhc7NZ)N)LZ-<#%98wf=o49ETz!IIQI9yy~AASFhR0s*O-(|7V*vy?M8LWU} zTrFpSb`VMh_&G&eq$*whBDHB0BOr-=`uUXk@av^$SPcaDE{h{%@uIu(D(WwC4HkwL~&wU6b{2vQbw6RN$T=eg&gmmn%#m6iHo7{@}6*_P$5g-4c%SqeP zYY?2)&mTDWe7jAk*oLr_OdQ`3pk(ASlCSt(UL%g!f5(g<^^;1UeE2ZDB zDMH|2Zp<+h#3$!bLLaFk0^+Q(LhIz^J}EBv3fpNj;(uNaD$%{ z`naK_WciF66gcO;82~8h$@B2=Xt``Uy+tD8ohO=0tlI=4{xm`Sls>^8o zJi13lffh;yDLolx$UH+oOR-n=YalzKV)VQ zi0?)%Iqk8@9*t&;aEC-y|wV8H}I*7 zXxcVJshqlb^1V`itc9Y*YJ^ypDz40qj?bz%L^tsoruN6CHHJ1 z_y5?NF5HNt`7fyJMiU-C32mAmp(EV^W6AOW-+?&*rAm@?@U^S@P7oMEmEvuTIrKx~u_1vm0#b2t@ZTU+($W6p zP%dS7lJ^L z%UC#(U{VEqm&!BFyY$Td5VI%7-E-ng^=VToi71o|#d!BUhVzr}*Qkk3L}2)xiBqt%^&asxbi7> zpdcQZ+HpxKHp$&$Dcjm@q$j-%fi$R{TG-mRhz&GP?{25#){HD#I!;U`9!%>S&al*D z>G&QrLG2rzs;R7oAAuj%e=1)Flqu&O?92~~ur-s?VHcrpZfI_VwotBT;3E4DOM2}W6oiYUVv?l4>!|D_%{y+Gez{4M!&8;^!<#HNI@py z{7bzG`E)eVytcJ#$47NIKy`4v^@ZX0c^JeP6Aa45=f_<=ohn)7&#rS;zM zC2QgKX**RV2VU9(I_iX77b~gCm~lY;{__K8YOmLu;b)6VD?R&{_hr;@;pq+28_%>h zjhQn0AHM?QWJ>o#tq48t3C_;?QVpfcG; zAVkK_IsYOx`y``IYj`>qtBPRJq77l@m&K_#hA`q*L`zHrGuMJ7VtrB+YSyqEAtK}I znPOu*w!3+~pQ$h-IL&S37T)2IQT|o7>=rW>$1^I}GK)cYk4iVRg_t+Hz;82`6vQS- zM90yD=pk_vuyu3%WmhJ}KS)UbG8EwKH!&LEs^zt>fk+7rZk6o&Svd(MYW)i7rYu8d zgVO0Tk$VIgZ;+>c_&H@%_KqyqFrk&u7ZWz(3EGoSkq02e!r)jp*n(Q@n*`+jEy^EU zpSZ@UL)Z2{fRhuETX#){73*)#eS7I&Fz~p?;@;ask?`{~BnZ*%TRO?|U26?=tH00U zAbQF|#)$O;m1h=GkF$bl%?!=0>sS)>3rB@nqF1l?7jP-;{YX3dCO0`jp|m=E1^B^j z78U6BRe1Z7*{Q8CZZR>%14h6~nw#Y$QCgf3s|u7QrXl=gP0Yz|Ixvk~c=6*9}F z&vA9{l#=QYB<+{>V?3_S+PKeH7Dd2t4Tpb=M^%XN-2>Nn*4n`-%XbsUFqzCb(xoxJ zI=P?*Lu2Mv*fx&N4pRmr+%UBY$oO`zS3%vXluI_MnF#j_uRHJji-(80wohUl94S=0 zU>4>(e+Q0d4i3q#DxW9);N;gjBlqj|!9BN9V{FG%x+NLnK%{r;=(kQaYQ z?xB=u!P(ixTV>fD@4E>r5e}JAkCh_pT*n*hggQMmqO#Ug8j#U{!R{}dFvyF`X5?+4 z0iDkJled`zrNUtj&Hn`UjHruS;Cg2Idc^K4C<1KaU$uob1&My?eicaq<6b@F=;f#8 z^T@;6d58GD*he(KU4dH5d@seR$KtYXlKJj|H>* z;6OpWjxzVdf|8@Nvn;6*=os~YUNLc6pjbMP#$xe2x&0<{*>+Yn-}M1z)rseW{rrHdn;v; zVYO(-$I;9ntG!z-A-%Hi7SJCvvR;z3!9?n~N( ziY1e9JF17%FQ$&N9bI=uhOAl z@p`~4bq=^c(h1z7WuI-M{(fGJqTbV6m#z(9btb1OxMdlO!iX}4X7By&7L;!9^h1GE zB9Pi$_2x`UNcw`N9Pzpdz(#aF+0LFaix79CV~d{PW)N>(RdCq#zVdN%0Hh=&C6D%=lbMdKA!$`(*?179q@ct$^=DWEws$ z90@=-9=VYDJxO)0W)nIMki9NYLCub<>7JK)?cbE#;q@hE$*>lE2iwF z6&>wMo%AAF&M9ncF8-+LUWs}{ zn=1riYNB%IL|XS#@`;QYa1(M|u7AHj07YF|AGtg;JSxxgUtG6&`pT{dk z{n+611Zs<6;|ii_U_(bI>$a>COLrGhx2n!d5#g4sypC zSF}0}tA&Zap`oEUx&dwDuc%*EoMcSd&8LtaN!)3w`C)y+KA=wEDa^hV3vRtW3c7$L3Y2Pv3#l6hh(~Mg2H&0~!kX(B znE)jvf!YLI;gRLmVUtM*XwUM;)7NOU1Ds8nrOOt{7R?jfH*<8x_L+0FsR+){wCvmk8y-c3H z_5cR&9VfzVGAfW!rd1>i)#8yFFRzp4nIEl-fBi&`k61xVK=31ak0{!O(m}ShLRq>L9a^#2kg%=#b9Ma`%P|S6DgUK z9$b!QtbgY}Db-{}dARqj^MO-EBG+``TS1I|B)*a7b^`pO*Euz`n@S9WWFRV{<7#w& z(HvUMJih%rw&V4)0RD^Tk4-hA7Ug0MY=8T-UkpOD-to0#)EOnN7_5Dfs0BnJ@(W*3 zp z-d2_KWVv^76&E*zsNeK+@VqT8IfT)YZ^`iYhA889l)k7PmPm$TT#lAuZS&BrZmP;G zl#b?)0|D4x)~^xi=Xh$iP=6GyevcvYFH*Ut8#tD8a2CLPmBdvk<-b7AU>9}}2XnzL zYM!U^Td&YP5W`F&CW%D8u?*UyOfu_0Y+N)Qvy+_56v%IMK)F00p0#!ouwvd)XPaa7 zz_xNeW4Y_#4IwtfwNh&+!-^tA(~O9`WlsdvH*drDZTrdJQGi^{uXT~Dm)!;8HXz%r zpTM(+zGOleJGQbQWCk;MTuzBQ`*v@0<|Ng}*HHaLi=Qd!8z6w^iRt+4R@WTqT~afv zcqeeI;;BvwJJL@h0~`)16PXun?C>*Ai#G|*6e?7)*;=43!#{^*%^e$0`EU(F`a#yX z!ZoAMiw8jzH3J-aaaDguIWYh5zz)fN+jfP6u?&x5^=V!dB2TV~-j~z(RNuldHYGIv z3rjsMoY}b!O2k$g=2k7a9TU$2AN?u>NGd&*{89$bqlZ48hg)&_h{A$?-M7DeI1-p3 zl3S?Ndc#Q~VIE`~^$XqY3#WXAUy-hR@t`Qkz$ueOWrt=W+`!_1pb>QYwy-Mc_= zj!NY0GEmCN8dvYkRFgwxR3@z>OhH135`155wTW*E)IRjSL65crGlS3*vGL*6`DpoX zbK9L;S6A+-+?OChzv66fcdBmvr^`(mosN`FkEg8W-boUPxr*yz_s;0?!#xlS@3JDc zr2VQZ9kla-peOLONwV=|I+OJ#E2XftY2Lr*m@euc2XY^Qbe_9##aaMX7-vwC0 z8KcQDO@+<_9G>qu+J>2(1P>S;w!e zCGB~M7Z;JLgxj(F53%v!15&64DlnV$ag$Ktv;0gJ4b+fOmXJR<>>JFM^jj#oO3Ve~ zCsCm-Vyz$Jt6UT_?PMv91Dp#-zWy91ViA%4$;cEk$8RhRdnZjf#Ds|?1MbNhhSwdg z*|;|pz#34ZNI+G1!(6|T-dgIGwIH9NyhzY4DdT+Lr94RxWbFG&Sv{|_Sg>wYw}J$Y zSEJNBJF;hLXv@qr}RKKaB+*;5TI5Mi}Iz!z3{hKnt#w4 zQQ6v<3UOiEm9~);XO;&f#fhT9UBz`Yah6x>Oo|?d4LeptiuD_2(iLd z%kd+RHR72%z_r|tdy$0I%UJ{;5LWk7dUjS~YgVWiCH+)J7bCW$XOxJ98a0TiW5~HZ zcOAS*Y08i3L$=7TQzPYdy%B^9jGp|I8I(|gi(R}UIpZ`djmcYeT08TXYWyGzU_G;W z6AZe7v$2Yw9hjY%`?KAzPBn$%{%xG}zKL4?t?*Q?Xsk1Rq> zc&qIRVRCKs& zy|V|%a9r-dOZ6Td0d%`6`BR7u=eD&znqLipO00+5#$A_{szhJz^R7{AIp5+|30D_bp^`6ibP;piByuo&WI_ z8$yff!Wuh5h^+i8OWQqr?wms6ucbDN@?}4W{X+n^nr9LYRHG=lK~_1%U(X%zbRv`+ z&XfCf;5}C@wO+~kh%yUfLgQ;Gy^iGd-VH2^IrAY+FF)JGrL4P<>>nprjm^XSNv?fF z<4S&>bX`YgSx-xU;amxs5PJpk^@=?u$psQLwUD7YNJK5?`UfZ*a-m50%9`|FV5MmR zzp~6*1)Iul$4rxcN74+^8{wD-$Yx8gpw+mGIsR?+mIz!qW7#b`GTXj$K74fBfERoKQr-C8`K9DG#(@OIrY=Kw(%%BA04n`-kdXHwFPhpKoHWkYijQ=zpmZ z>h_6E5B0PT^>7v$4AUT(1AMLEyRE*5j6>&wO*9=MN5#2p3KFh{RqsnO%HrQ-42f?E z!{V4j6?;X-^2#cY?z@aU<3Jh$eO1g#c6#p}ZSQvkbYu-z84d{O%#=@gsiKTh zSZmhJ?k#qz|uG12BS&)AgM)W4J1%A@p?0DZ|@h+(feXN>x=7T zmMEGAr}eBJ-!HJh;g%L%2vGN*siJkXw*i}D@if$yu#if+62Du-a2T!^(9zWBXtCe1Qm+;+LnFrRGpaLq$k!tts>2=bV) zHKPj}f<-;x?+UL89dlg@M$xd7%8}@idYrM0WPy0yQ-GUBN$EdBIkCbnViJ@WO7DR1 zMc`l<2{pv8uwHF2@{6tcv+<{9v-|F_MWSQU6)W5geXk5`zXLoBzHfkG1xE4}kGY81 z#BT*n25a2+@HBcN6T_#pd>)Ld&5wtr7+qv zuH#^b@ilxG0V$lCkRjNNut6O%1 zvDI5_cipfjT0@12D8lJX%4cIBokvhd|GjWNW`Q*vN&4 zc{9JqSP07<(b)$es?$&g%VGga%Mf_|(wO}T2;pY66|8^7A=h~W)M+mV!2XgaLOvrs zImxe#Bl{i76eqVwVUol774Ua=BxYtDb1#*Vl1EUGSG?*khW#0mV0^{dfbTj1G9%?W zEOSo%PPIC+W1Pi zQN|(aqdD5VuOL+TAu_Hp3T1b)e!esbj-G@`Xc9Os&DoWxb4c-H$1&9tYa;C~4atcu zGs6&)0v|KjJ}vc!d);Y3F}N~zSoj!qKJVjz2S)~co*L_pVWczZRHbLc7s#<9QR%cD zDmNsH4ov1%C`|GP_rP#E$yq$z1$g>d_=H7tB^QhmNyzkk>0J6i0mN*rA%6YZ>Yld6 z@*9qYd0OQ%giOm-^Hb%Lv=oS56yds`gul!4u{Z>aA}5*EaZF7X=PagyZ%$*Z!45D) zi&T1r0wL4UmF$rU7-YY#VoS$KA_)NYDRrHhMaG+l4;E-QPoOfX9HA;~2U)A5w2l=bao0&#zUGJ3AtMOSOlNY%H^v$9j5jmb4^ucNAo7N zvZZvXV}2P88EDTlMEcw2YUwA%Z-q~}E8P4Ohnq}it2Z2NO_J@9w`9dWTdp=aTdGvz zKnvEZaXM4I1i5x@JWr)uXmI^JZ_U^rvE^!;p05GWTgJEvh;I;&A6z6lO_wDKqKsB4 zzUIupNp7(ahVY-r{V3XBb4hbXm~G<_9%3O2jKRgcA;f6?>SKjRqhf6W#pj~UPfAva z12%E8 zpu9$>q+grR&plw_GUSGd!0Ia@%D=NoSk#Mz?r$M2EF0hmFwyM=Xqx+EnIl>~&JCQo0Y0+72bpW zcwY^nIMdiL_vK3dgtGY45#@jqW3_jM1^ZVHZ{YlwWbG%d^HEviP)M!Ht++8D2uA@3 zp%W53jZZMM6+pcKu7kg#d53dScx8p3Q|(l1_Ue&Bu^47jiRuX`Ox4aK)nbj3{Vbh~ z)u;Kk&Yr>EyEo;%M7QoL+dWQmypJHzQ95y9pN1~dXpQx(ui9H^>{a$g83bV%?LY%f z$?_$Md&)R#swu1V?p8}^bBpnHdumavNl_Yi0B|A{M%(Rb0CTUe`I#$aLP-6s&&>{m zoNm8XZnwqmrzq8`AB@BiE8*kwd1q+1JA=HIlZ%VPkH1&PAY(M{4@USWD$My0o<6u%hw+AfcinD{DCIJBVX|EBEe_0OzLgN=`bZ2-4U?u#!$ z=Ukd|eZjv@$Sr8q@R&rC*Bn-X`Pz;TGz1H)A|*eA3uugvV|X%f zJW({Spxn0~y&uUE2E@chWg`U)zE3bRQ@f@~=nvVo-IFQIM|1x8;(&6Gu+#p^9ySY+ z`F^I}a-_!2pkuZOPBf_!2IajswP!is!d;7%;cU-;w{=&p(Z>~%~;eipgJ8M9l zPS(s9_pxR%l#0<;i3wP*7D|apbOd4Uwn2ri!LEm^8x-H*?2Z)$HQF&HUL-DvpKCA4 zYBW;WY0XsdFwQz2c7a%j2bj%L4Z)bX`aR9NBn+0n&$YN%GLg=WspLBB$bIRC1u7M2CYLzEcn+d9555ec4l};q!}>LNNQ;7 zK5v;c@aa$JI29N9^R~>-5mid}@tnh+Oh0|t-%K*nQ!}Ipvqj3W!$uUYy9G#|+UK~6 zu8g@ej-uk!C{zz*Nx=vcq^3=Uj*#$wTBRzGR8MNrzL_~$hQqunVDQ4)1*O$z+G>*9 z9b09{>*H|JLs96)5Dw}GYEx-HQfW&D^P3@)MGKOGFVZ9`sg4BA8Un9re=Ln3z*S#s z$r||_=*Py48gN^EmMV?#&&1F_V3H$OzKb>;m1Rix4##& zT!R$}N!(VtK7bNhY6H%^`P+VI&qah|TetWvm%Dmwdp%8ZZ2*;vFO?_Oe|~yA4om&gQ;wp- z@rIY>hRLrMjl5`%-u&HMmKOK}*=oUb>AWN3Qtv8EK(r1`dLHSycfH40RpX?p zzAw(GkuGNY542(|F9aqex5Blvt(9h|!aAqu1VKy}H)Fm*4e7zs32aM|^LOJdH)~de zu5OPM{4Vugod`wTMGZ}#phr`5aYn@7Tya~x>@vHEMZiX21#R3 z;ISb5QGPUXXl(2nX~$$=#-=-iIXGz=}4*xo+tIpg3qQYAq^*C1#KRn$kQ zTY%BGgH63^Y#K}8`%TzQBydrpGcJ&#QM$xGE+{pm?n87~zgca%5^aj}qO)fn7qaSC z&FPZNo3A)af@jCBi~0;qn%0dhf`e_nI$m)N3kc)pS%kQdM9Jsv?NN_M=%V;|wC0Y(qqf)p*3f1& zsR<_d+(c+NBt?{R#t$gfPoRvw)pSpH7R+x>RbN*>pAJ{tID-;i1&|>G zkdMfIpgFKt@5&wb?fS8FTjPEiv}1o$a=o2~LA%Q+$kZ`Qq<*lXalj`lTP6TNnxQZ! z3pkRl@Tf|Arn?LUIsAZ?@NXPuc!1LR9h<`HKEyRWJRIJ^7{9Mu2P#^Z>4m;wuy5=A zb6+&=@DjEB@42HJS_#R{0S@}q7Gin-;{=@D5+IDmMCIj-zAggo9a}#6QLv}&IrDsg zXRho%v3jCJp}Ot5;pGIDMqi^H`|f6VWRYY|i>$lO8+SAFSe$0JO%^~Y7@dtQW?ssL;D`3(FOo78b02CjXfMG zQ%=lkB^5EeBN0j=TLlpgevO`&ymW@lfOkz*v+`nD2)V*i_$l#^vI3XM|IyafuAEIG zxqgznrK-l?dcMQcAqDDcy;-ZBJI&FpAcZpw&mxuItWdimGhH}&YU=HTQ(xG@SFC8a zls?EVB{$l{EjQh&meS9ojzMKp99$dtZxY*gP^zOy73iqjJ!vA`-OMP)b7zU9^6;Qu z{pGV#stA3GK)JTVj;U(x=%rRD<2G*yO`j7{tw*$Fm$Z8ZB73V;VOl}Kynny8O>$+f za5uuuJ|V90Fy{9UhdCq7cn!9yNTk{GN}5Bt>&;(fec)V%IyqKw7H)aZjTxCH5_&Cg z`r_!wen;CgN{uYHDf>?5J5L6<<0|f}+e)NjC5jaOclq@MKhTl`%6X%qbx$}>I-#mw zTOM9+AtEmW7QCt5TDZYpP|nytNW|+JnUFQUUQp*)VO~}l(JPW2YD`t3VE=W&)2GlD z&5rw(ONq)uh)&JfS#gOtbD6F^<|O13its*<-rmx`G+R5@W=k6*w;Y?@VVlKnj5}kl zyx1#T+p8;4=-R@sikJGpbY8}dHpQf!b?>;T)^QOO7ivi;(4F*+bYix9&##OcfT z;fgZFQZ>Cjc4Y@ue}_jBoYgVcu8}R_)ZL=&mR|-P{i2&jq$lpUR1x`js!lH&Tf2jL z9s$L{G@6r<+!r&gQ1G3N`EzTd6dH>`vhc%huh$fZZxHduVwc;(6sTUCw*@wo;pRcS zGQpZa1pU9>k~W^P>NKJg?Ed+8k|%AU?MDB|NAS%=fQIVGb~KPLlUfejm9@W56?1DN zv@wCf`3qUJ!cTGzc?1Qe&XqK@*F!t^*%Qm_d-i9SSxZQ=tM()b*HWclHHT8t{fAj$ZhzM`48yz?yz4}VfbnJ2e zdD4Dgm)uo@{uG5DxV4hbMJ597!xl}N-b&0jas5GjFS?W;>^+M9Jz+}BJLF%H`_iRp zsJz2Q$}jg+ec%yQ=Jh`BMR|z^@@_^PEaH2%`pXC4lzvwVoU%~D;(*+eC z>Sgiw`(gyo_y2@&9e*iQSN1$r%HGTVe95MJr2kJPyFY>de5fCRZRf%Le?6T?NA(Z2 z*7om3GazCxmL%-T=ksszzpUEa?r!{${@$S|?A2O>;dDOv|GQMjS#-2Q#jtj1_fv%M@sq;6Qcs_y%zB&n*cVb`~&qhaVqk4{;KJNBFc ziu_jY_~YI=HI>Qbw&Mp~#7jQT$hPgtwBBsPcg1&=8-lk7_xrieEZb)-hZ` z=Fc#m$GJYz?oX+Siy+dYr#=)1kKNGL&YFR@f99X=wr};^$~ueJQI3p>$v@+qHFaD% z&Yz`#M#N!1J8peBN?+~tU<2vt^3u8s6m6(6n=hKjd+Gs4vIS+Q$^EkiAP}erDhCtT zzsvR!@y)^f{|QY9&o@NyWHf(gXh#2&vJEE&5`p;Wu@Cj`UlDBQfcI`5RZ{K>c3p38 z$9#O{!>bq0pn6;}+_&HU8EsYIIc90>VRQulDM4!D>fZ@KYxqw`Sw6=Oyman)j~1Xz z;{Odo+Vy&0c0O&5msfX61gR5C5mKD}ieA%EGu+r^Ql1 zMXQ2Z&<-j=MFH8y1(C9qx*)QIqJ<*Jz6AnNQ50#-RLUY-Dilyu5HmEgBvBBN0!fi2 zAPFHL0m>3$3?XEj`zY9UX4*65oE&ma&i}vvy?5_-zkA=k_aE)9iX3epQm^xdz)yG* zCKrPS-ge?%UkRv|xAnm}&FVEUjGg|g-nn)y8XrFPR-^`j1p9#W(VV^nFVT*75%#BG z9^yp&JH)M8g#wx^h&EMGCR9r3r1J8e%4wo1^USWsmlXlhM(2dEQ?I9_5oev|6>ynf z6o{`0J7iIjKaGDHf&*6Yp_%v}@+qE23P!zt?pqD5Ed(s!Z`7>#1&9{&#*%I7*B`QT zo6`r=I3JgJZLY1kihi3;{hhWiBWV7jh?mH~7v>aTV{^*MV{?MBUk9og)LymKIqy}{ zx*%`ph;+}3nkB#wnQO-#nMaHCe6O(u9$%J}yq>JnAV-a#y3wcyLB}DEAi*SvBJdVhB+ui`WHDCWugy-7jX(9-sb|+OB+DWqSauE6FIat*c zh2El&aG8l3R?qD*RFoC`XfWOVNa1HkiEh5s0o+94~6 znOfBNOL3MpKw)UZhUnR(zko98)E-^eyB$SVjKQ$;6&qJD=!XmTS9)y8bt>?GS+B!z zzXo9V-#Fl9n#y`q8diUi1d=zoGcX1!Y;AxmuI+@7%GnWbR}o0}QG>LilKq}XqN;P3>f%Ef|NQuK zOl7BGdRt4mdQEM+!hvXYLA+7Dp-|{0SiADu)?au zSaRsVGZW~>Fb7f1gTMji=kut>^M%=4gz}jA5Awu9_Wma>msrR19(eZkSXcRgkH*MD z$yUPatw(Mck3#2(?s}chFGjWL(@QAa1oQHf>UKAZKD2P!<(O)%9I!4TleLQ58e2@b z&AhrR7=|}ycbN%AS21ksY@QKJ6?dlW?rLg2sA2i^xU1)7)@UJ>nrlAsC=v4K8LtFs_ z)=D97lR&>&bo2VR$87pr9MpHBDDab!&;AqL0z*|tK znJT$6;trFqQk^x44V9y%)rS4IF&Z#uHOK&F-V2vtl>HdP7gsSD4u>P}CMnjMM^C(h z=;bSj05>}A7~2-+K} zO0&yPHsgnHU4fAd2^v<@-&OjyWTjYsMbUeVhq|j`tG()VW5dHn^yzwxQ@mkzOIB1h zN6t5)<5nDwk?xBOa%?k3Mp*=-3vAXh-5m|mb}bM!ZY3Ezw(WD?eBv^P)V@_{EF zH8JJVuG7SpET$-O;#%%CvpLiPxw7~zYT2yscCQ0LORo3Xe)7S2$day8U%uRPY!g*~ z0~`~a*=06rF(p$#rG`sR!%!nA(3io%ej_gmd_ZlCU732g zVCN{?6Z)%AsnmY9rEM`|{QEM3V)W4F6(>qP5NiIT(u209uKM0c6@x+(@A#xpGkfnj z&7pA|%+Cq_%h_=PDm$v@9GT%_N+_$;rb;=5U*hrWJz2?z3&>WwUmrFL>3eMRVTXGi zP;co=7VX)KLVG(sO-O{q_H7WvERB;))Q^h2#(301Q0wz%%z?(TzXh}JQ+j{&jONrs zqgGp@&LB}aOhoh=D6Xx`w<(r2O-Y}x!Oygj_~(M-)`3M@d@r2kOJ1>Tv9INcoa!Op z(#j>%koa{7+7yV8k9Cu;IA-s4xqm_!V_`8fT!0)Y zIBZE4MddM!k$6dGIw`bzWCIa#e92<40!o4A1eZXav4cYObI0B8N1-3Z$H&Wi=!$i^ zs_6zy|MSH>Hsl!TX3nUN-#t+tD?Yp0(BnC5#-ovAg$RoSTuWaopbMz&nnvHY?2@_XE|&%L734LyG>^{jqA7>1Wra|eOj@j>!xy6R%> zP21R|C(94yP(&fGU)h0>ISWCGcp;{SUCb3c=kVFn_^?x*vf<&6H*DCT?SCxT5svTm z?bAcxY$?U^TS`u2`0<>E;Ok4?Tm3=up{JGj_Yr?oj?$GWTk~QrPE1VPVMa$pd|Jk8 z^d*yZFbobkx~MX@33hV9)5^GXI4Vt9y~9T_BSuYh5qd!HTqV&on3=e{W!&Q_E^Z2} zubn}f52q^fcFDDp5)0|8RJj?tTH zNGz}=zJ{d4beojbp-np|9#37cI^f)R(V)6?GErBqR>m@4MIM#NLigoPD-x{0RD^?j zruFXSNhw~A-lEqH7KG&y-eRMpC>$5_r-oY#@B{0(eTaJULNbw}aAj2P091gP-+%gj zNYzrEnDZd+KlSw3-}zV7bn33wT}R|HG8mlQWqnPT~UQ!kLz1TvZ2_OI?hUsu-*DR?_vi?CPE zXYDPdbQxV}yADjE$Jp`iy|E!{6>j&3Un5|y0VQgN{q$n*$8PZo2x=O9C@qbqHU$O* z>;@>7&CE2z5DgAnQnll{GA>v0R~gY~I?9|Zi$1%PNtadA1Kvs8-!>R_6Plgm?he^4zCTn{+%(}t zq)N#oMc~h){Wb9e@FexPIA!jsdiYGEkpBSwdA&{+Fs#WfTIPsP)tWW=l2HkvTuM@z zK`KyDSs4-h>ntQJDBbRjM6xIZqB@)HUbHtL{6?m`^~;sShB}}^^-O|NU&0M;5! zmvI6)RcRU6gq!Zc)HI~9w{G3KBTziIwK`y-gOc{;GP=qf`85A9NXrt-=~Dsp!v<;n zs51}Hkuv~h?1(l;2L}hWNuCBF6CxsBF}x+n(LnBuv19e8ZQu<~+B@%ZY^&)?M4pzR zHE|YdwHhGziq#meW(bsFg(J>{EGSOM>ItfbE?Sp4L8RC`00tof2y~VUi>KrV zE0aKvWET}mv~R}cvrc)vgBEPBaG=2~ z_RYu0>#>IBY+D~e{I`)PW+ozoQj5~%|0YXzA3N9t=y;n*jhKowx1&7J6R+gf34L_ zD=`ctbz$d1-qU2QqgZTJ#NS(dQ;~dtj4e7beRNCe&DdrL4;|T(db?y_nwnJx*w6=1 z&<30~frwg-;Kg^bxigh$D5-uF@;@$xr#lr_3ZJc$vIq(Q)xlNQq3e7!O|$_BuJWRU zCZVcIMkzXYp02^?fJu>0X< zWc-3B^!|2nqg-=E2MMjL{maQoBgn!>p~9h}?4YWyI)H!=_;7lIHb5T{fZ~(eAD-0)n5cy zBHbn3ASK=1EhP=o4ImXi@fLc~Rcf`USl5EoW}f`Y+-f`TSNfCKMD-aoQ|ADoUN zYL1FF#*Qu@?2VwLKRDW2+BjO8=@U5{**looShLV`&@<8!nL0Y!I=o|Gu=@8e(A(IX zFtAqC6oZ32vlUl&fPzB#0C_0gvqA`(qmV&5o3thH`f!ROeM6-EO~ z2`RM2b3H_lxz~XKVTz^VQ*bET*MBb{309W( zdIP~=b)(X0|HrF7pVO3;jopHb{F0J`usT-UaQhXn%aizW&%n62xT}kpn3z{qY{~DZ zrlx+~t~`1x5fEPYizRV7yy3g*KoLFk_|*aLcC%YhF=sjHP7wV2?sTlmZ~*npokv7O zWYJ~COPD13nHL*o=*c?aW75Qg0{G-PChbq3$4ehE0#!}Tp){9e31wvr-0-b9(d^0H zjeXt6cU8tCoqCLNT3W+=kEeW-6BEpPvopFrY1753232$4)Mz1>b2cd(seX(m%iWR6 z>F|C3eE17%sP5ew7FweyWaSX2Oq!q}H%|OZ_wigeE+HXep4VY(_?3^Y*ZFjbM$O)f z8gnv+=3h^OkO|gwA2xMG4>hYzU+Lb?&p_=Q9Bi<+T_ah{l#yevc7JHr9MbK2y_wi>(u=2FV~){w)x$8`@ZS9ejhYR+H-HeB4fr1@$b&IHcM|p`lYmoDTCCV%* z3F`_%iB#96#a!PjF5hbRg;{jlPK!%SbU53Q_r4y|{SDrp`2PLn@#J=fPdc7Wb2J8x zO1ElNy4Queb<4TRfiu_R!|~(m@=MjW8w}lt--*{76nq0W=lkF|E?0Z1Z6RaZ>yRa; zmyrlbDFhwu-nA&+79W@P2Uf^>q$yHm9 z)3NgB8e9F^iWkz+&H}^ zlZeR$;TnGH)q1(?fl9=4vy($w`*=~;77w*s?sIS9xiGD&OSieXDFN=Fl@1?Sip6+1 z3X@jt<;vFSb#7Q#n7r4++?cltbMkuyAD>66az&7+`A=3K$Uwes6Ge*$9D5ym3@0(c zq{)a$NIYA)+hTtP=T90D+N1Az*|b8=z<`o7-oH0p%xU`*ikzI>bM?9IXF@ClSl7*X z)%v}!#cv!RhKJu9kEKf+7_1k1sjI8gs(t$ig2N`Zv3D2p`0zPwKl)rJ`UsTrRxtX2 zM?fNhipOrvy}1p!lUK+=4X2}A>kH_JPaki}A0;(4@d!PC33z%qJF~(0uU1>xH)x%# z2gRnOJZH>CP8%E~98pprXT331>fXOHigMY7C${;oIqIyPMSvgRl$Z&f!&GX11L#i+h1b7tX z-*QT&SAqeRCc|!S%lFFpczFb}0FZ@vyc>Ij`hDQ8qJqhHzbiXeY4p5UwLHJ6DJAH& z`)80~b^%#-kN20SOUK?W!fEg*uVJxSj$nxJk^92Ind!an)(I!4r+Yvs_j0$El)PwK zl981~0ip0rm$ZGYC)CW^n)lG|a>-?-a6cI#EiJ7*So!1X#@5!v__*Etn2Cu=Bx2+1 zug8uVgwIn(dRfM}y9itsJK|M!a8_E4M{wD!7diArHn~==k)@@jJs)pZwteAWLm9&C zGx%ITXJ54K`t1Bw>8t#Tze+JVDJf}@Ga~F0f$YC+DgPr99-Eww4zGTSWS->LvP2#C zXCKe^XCh}GYRbLBGak+gny=PEOLSVkjHIxm1q+Kdw0LgP=;E*<9PjVLV7qLt5x652Vxsi&DJ;^kX5 z37W~E1mC39X-;Z7Y7A{~*sipg`LkdS3s!X}+kB6l-l;MLInB+fvR-?No@;0sM7ZI< zK{xm^=5^%Id@*l9tJ})Gj9jY1wbgLu?lp0U4gy;EZ?}98&C1G}vnU&r*U*5Ir@$%6 zNlifkAKHVOu|#-txv^fNvR~ipPbOhtty^n}1F6d6rg2`k7bop7C_imEdI?I9r&*Hk za1*ucB_=WmWPE)1vg9Zq>N@m@=;-KPyV%;}Bla`BDG2pt#D1~v?QH6kjnCyA2Kvz{ z=!)sG-oIm^z~UpFU?(N&dM8_yHNbs@+-9j}U8O-Ea-1Y5?C<;(YyG3ehDEQ-CCi0c zy5)$~nT#DL@O(Oyh@RAd9{m&Fh#GATsmGZEKZ5CU!IG`4agX{(iF(&e>jmq>uOPl( zAg50HNh8DD?&Nr42PDQ97Nk^FXUv9nQO~^~3&zgQu5;9SYyC4IWg-f1%Jv->*TB#a zmr+YYLxZD}Q#f03!z*|E>>gtA_Gd3j0HK*}eo$RF@y8zHZy^&WJo{%BIt zT2T5~7#aEP?CkD1KIVu;MsSpsm)pdhFnU~ALVfx2<;~QmNbj>8E${11?yH~vt}V;* zw<%w~e4De((aJ~7YHV~5U}Ds{2D$7$=2S$;Py_<(Zz*SVxkc0+?M0TOWDDhnHe!MR2-Hl9(-i9 z(4Mv1-loyU#&`M^Y6^ej=hYvym1^*UJlf-GHAu|TXD2HN%B>y67L@gDm0~e+JCCz* zF|lb#Jy9tpVEx67@pzr_D50yX%dO_gaejVYqE?~b=@br0fWB9~?XH_YG;Mf{c$Afu zwVbAvPZU7*w=Xt0B=dN%wSoF2_F|OKy|(WnZCt^ z^!DC5iJ0#7NIn^FZ(bVJviDbChK7cs$;<-W(O!;Cw78z=^CukEsL@)^SDOV`#P+SP z24d;xT^!8W)#cNa)juhoez(W#dQj2Fh#P)#D*|bDXs;9@pi{AZh@lN%RSkD^FrEet z`K?a9Eiu43n_z`mVPIe&4`%AekKa>@vUcm??3M24=KP~hwxDL6R%P6W?U%QuM|y6M zLfQZbb)1wDwoWg}@|n|B6rUsrMuW7jFLGRE4O_TdBPo4CC_LSu9DX-_3k6!kH`^;-(bm5BcSkO5v1C*yVe_lDYK@N%w|M{uOXQ4;2L=XC@LVpkkTg}2 zNhpw^Mz@}(9gA~va>jJ%MU~aBAr@t22@Ll4N44Hs8+i zugI=)#TYUw+;B-0-m6ToQnY3@8fKt4O%Q@QBfpJ(N$gN6C|Tn6uxPz5uy zqTFfoyv0SW-3YFuD0dGJvFY1Bz6bfQMMcrHn4yM@*tteS2@(L%;Ge$px!>27!oa|Y zQ7Mi$9!?^@zuV?Z1X-t_Mh-$yB0DPAE|(uddKitGueVYlJ!d=JBSMP40XDRUnS`Q4 zi5V0T0B|6+dgbOv-P%IVIAwf%{G#KewCAzMid5r6PbgNE`82in!)Zq3I~y|84*-Y! zfn1OG#}XMrAmm}Uu}JbEjBJ#Mec6>1^q&I&6(slYXy7~KXnVgZ7mHe|7Af7$_}pXR zu~~AIW>2^_{~n~l=d=&-IBGDNYE>>)iB3+Iu&}UDZ~~9k_vhWFpKcL0Hulf2#bqR@ z!7qb_>u-;m8rCDYMxCp`vlsc)wVK)5%KLCxX*47*EuH4r0tgow2$LiHdwO%}%FdI$Kyr-w9PhM13sD*WQ3by`^FaH&8<7uEo05Xw6 zRm-mD^ZTztu>Jym9eQ`iYP6!Dk>lXtkj98V`xnFB=87R(b#4NEQK%?&QKQR^K=Bn~ zU}1SVA+c4V5_JPW@}MoDK?+W^I#pe;ntm*F! z1ByxieSTh2K%gUckE1*s5r96Bid-HmKTOSoYDV$U*;LPtlz5)Wa<;xzDX>I>L`KgxNL) zDC2dLp*t(PLT86(<0~t&Zf@6c;;9)kqCLWeMMcTBF;rOrt2%v-BM{9F){h2atwNjOkkPx*tZywN# zjCLpTAQb;s7s~p%d&6PvLJaRV=pt%$)&%s4q1DyZMfETKi8tS$ew(T6)O&k-YAxm_zc*rK?N3M8Cl?lmS}vCXOu`Dqq+5dkX^du`G>}xCtG{r#Rssb%@I^~i z&=6qPPH48#aKqu^C7o(h{t;(ve{gPxhkzPj*QkW+vgCvXUNdoNryKl-CsAa<0P(}Y z!Q~$;Vxh&5MaRYpSy=45rNDRVS473eIxN@z6Ulni9N;Kb9l}c)pI(HNl+cEW=3uM6 z5vRrMT0e=3iDBLipfSOfi1~Hxc`|$mpqfd8$UoU+g7QHrtV39ZI(yu7G4rK;)xfLJ z9)v(a0IW|(3!wlQg>==Z_;_-ytbZ1_I@O1?fu&uT%qU2oGE8(m**xJVzTwU-78C2= zgVGxZ$TLX<3{CcgUp@Sjw*N0VDwvVFm!GT+tjXUmyomsB=#emC`0YZ13e=X&nSFJT ziZwMg1^2@SkvzSAPoFcUj3kX1tCXm90C>T@dLPSK_fJ9S0pEw+MjzuoeX&1NzTJ9z zWY8BuK&w?B1$bn4o@QT8X68poF`Sy2QB+m!!%)@gKw@8Pf4IM;sP7= zCBcfvG~4}JdAu8X{Z*F{* zCq{@F^SrT|i>Kk*7Dx6~-Q36aafV9QpRC>29W-L3@5EO<8 zx)?;V`%$Xt1~8T_2fpQEeRNpZi?Y_6y{i+Ci-WA1ns`tc(kpdsKk9f zrC6fX5R=SeqR*CM2Tlh{V!8KuF)3=(61Z&$1yQ5L1VpK?)P?y-mMsM-UQ)!xtsxsx|0XOh$9RehneK`w0(;Td~(}hJv>g9@c+rkY6ay2c=XI#0jKzV?z~6 zbo5-j{KG}e(5D5H1Ei7Moq+Bm@oQ+{g7%e_mF25x)57X~aB;YB;>ryHK66zj4nNy{ z|9JwSnaim6I`~YO*C;6~SGb*SUDc}5_Cm09SU3j(XncB%99j2@UjIJ%v(<;UaG*)+ zf#ej<88_n@la_jZJ*^pTa1=`xoRWwsv(P|?`P`=Y1THTxPs?pH9tvdYYo9y2qvlhY zFj0fMS+Ej`5Nr!&m!rSKLcyYbSpYhAmGhxS0=>4Rv@{Y5-yNe)dE$a~6P@=kB&L8i zB#I4nx#)lbp^2b<)h}5C0fFyiE5!z)OM=7^9{VS8h_J&!1^M~@sd?i3`@5ak=T~EG z2Lf4gL=p;jD}-M59o0|G{4JGSxzn$xpZ3#W`0{@QVqZ@kDBK>+=RY((w^%Zu+t*Ki zK}g~Jywm@^uD{~9s#`F##5W5&KRdGp!8I{ACjnL+A~%EF3-1d|wf-O1G|HTzqap4T z9B;CxVdii}CC+YpI?-vyO36PeWj91u7d8uo+sG5}3ZK15JN68M5S(}#)hFM8N(RxQ zWGxmz>7WO%GP_G3AQNsjt=u1dwvy#O>89G}UU~>l*ZikbGU9?5fq~>@{_nRq%dYE4 zAL|9687+R4DE9t)PC(BqoLQ@<1+afe{RgH1fVb=FE@^AT|2c*&J<0z%Md*cufRc)e zg0{9-Z3@Z18gA+-LXQ3mkaB&#Fz~ajUbl1BA^*lMqon`qA^!!N{*S=~RIeEy$dN)pMa+hsxBig(I>SyM!FGdDnmV}Lpp8UTpN z59C_+mUKWqly&9JE`q8L*|OSLi=wXuJCz za4EaB_)nw7;@WPOUp;qM2V@we61Kx5M0*2Dc>~bAXDbZgpJUM*0`(Jg+c1u@wzdqA z#PPb1H!~*LbHU>?2<1LlY~Jz@b>%0Pbvq?Y7H;-7gkptKfy>@(AI}5Xlb^U$}O_|3^a^TKjE$ZZ%s^!fl{lzJP;_ z7_NKSTRQ-I?<=Ljeu4S|Zr!Iziyo?Tm2uV9wYy@~7F#0bbB{j2A-Uy|+CIW3ovP4J zi3T29FA*l3+CGXr#(B0BeApa}ha}c2jqWufRL1qNiR;Cj$%%W*&bhmWrY58nLaK3d zv!}-VpG3{#^@Q}$`-=tjCTBXRHo!^UPI|B)9QkStD5rM&H$Xdjw{{FEB#?H|x3N4fw3tFMWZ(*^PpP&Dy zVP}I51b{mry}I83zXb8P);leH1*QkRV?Gb3imy*Q;0eQQ1ss}|+Jlczi*@h!K0D|* z&lxoX`TlOd?O{J){v{9(z?J`UZyCIErLkTLm|~4aIGF_K2MUUcK$drObOfsb zh;N4_TVEstCFM_$Po%ZsJ3m@l0uZ)$1D0YP-x0h^ zivXJUw+~%#08ByQh8s^wnxWVvs#rg65z%6x0k0thy4ZUHfq~S18|;!V9ZoZJPW>F?4Ycn7r6Z~$RK2L}fykHGy(=Ai}( zGHvnL)7zHS?h6Y1pS+AmaV}%qGxMSdlt#c(8=IQMERT%6Kzc&oW02dt!XhKBbUJ7V|^ljkn zT)9%9Qfvfn0KkzGf5JNm^ZyO*{=Mm=L<*0jeOR$dC}Le`lnkXCsqKbfFVMa zeosj5{?fM(FhIIdQdN}|Vd*nD*~YQSdy?C6Kk472-?8fmIT%D=go#Q>=mmpDQ&ZEQ zKthezB$mK`=lB^Su0w{NT}bTT?ACk#8z%k!{k!+>K*=YgLd{b6=Y7$I>`V*LwIL12 zmdSRsiO-Gub;N5P+{dP(qG0VN=MOa+RMgb^fOJDZWS&$ah|sPs6uz*T{qSM|@~;0u zF~ceblAve!5XV+}5Y8#c+&p^2%(!ZL^jE{#mouxY<7mp8QK72lh9PAdjInW0-rE2& zJDSP~0te$GM2E?EyxWG9LW3U`H5wHfr4n@(BrDth|MAlZr;XCo^mK*$`QFuvkna>k zuLa`Y1^`?6b#;jl_y))*Q2V;UH8E4W-liIzm}Hr99(dxyX&5FJ^kihH_&+hs>0CeQ zR;A+CDFSN*bWHkIDJD0%`#&x0Nrx%=gj^+*KoOw4a z(-4piA z!hQKqZUbS0A=~GV@*xIvcdeyUN9vS<^*j6lX%-V&xm#{Mh;saJwGJ6C?d_QZ#gS>% z^VL7G=@;q`>9Ll!mAMB!!;mpo)e`JK>Olu5gxvlNduk3*_aLB1W}xZtxQeAd#qB5% zy?~seZe?*huaAIiCcB_r|9vB!qWoCHR6>Hc&BQhzfc<~bPSVQ?)6YvD5B%R1#O1fN zek=4QAYg&nNSV4&O7q5Iu*z3U&H!EHh4ocL;DDU*%P=^*pv7l+7)Sg`avYLh1VS0mdoU0vSfesR+((OQ zuez@M6u0*n0G)lw^w+bpDUGXnSp+HdjxY;LN^ zzEDK?NL9rySbf@k(3H$rw$qC$xVR{lg`ULh35iiAgVKeg&OwCXlEGbAoyHRZ(c|@LE5kJVi9tG*L{Jmng1^-(E=HzDb^uHyo9% zU)E0v9;2nnUcew*D9It>;aqnC3pz7zzrMzOB>nYi&fi%N5LV?K-QN}Mmyy0i$`l^Z zTF|1NpxHTdo><=}9!e5vWWvMm%es8&+SoBpi=|C%IQl6pIg``H{t97KT3;dT{^B0r z5g)camrXua(|<${hG;BKEV}VCx8iRm?x(xGx$wUfwIMOm{I)B1fhho@rquI6^v9q2 zs&sW3YHRXKW$>@ z41JU6IU!6Nj7F`XCc&$kXVp|u%Ft$k1FY|G^P3ucosH<-eoRr>QM^jU@%%vOwB+P? z+X&sywDs++2^HM=RKps=DEB|Ms-GmiXurReTHxLLdP5;9AQldm2^N3xn}&^*rhhv9 z-39$1==0g@^|==0&#)cMgvKRs{;aEC$#02C`j&g}8Xgr^bXS`hh-G&%=K#vhB*q*Eu zf0WtHuO$0P!1u#X#^{!@j*i5Qq=?z%@ZdPI;LC-&32gK1o+TMFT&b_sgcg|(a%fh_ zD>zn<$soxT7u1J-jFtxI6HhqpYN>l}ikQj0eHU?BN9t416Mxr&8r*AoV0S8zleX@a zp1c1Nr{*aZ?Y{&zAZ?id`I!6eR~KYPB@~1l9UsqnwEYhu=?8BDg`^5J|!>lTE% zw(8VUTR2u>tz;sxmVCp7Nr;&pLgne&0v59o<wW|JH94_=a@k&AaFUBi6I&)yYwR#hDeWR(n4St$A zv&!CbCNk)bLhNRJkFA>tnsSuruuq_&0K*wKuK|*~>-++9D#YEvbyV*U!DWMkk`QSm zOq3L2-I2X+fG|#r@|FbkDr0#aolyXey%ZD_W&u_Jad815khZ+zyN4S!TQfVqoIyc( zvhakSq5dum8y!k5L{8NU^E^9c)2FnjPo8=X2TOU04@u$PH*^L))k07*$cm-!p$X zzIt~DcW_@-l8JHl-fdwFwlA&kdb3Qoa(CyA=PN?0FX$>5W%^}SMK2Xwh?Z6C6QAa0Tt_6Y|!RsegB*Y{IM4_D8 zAVK22{e8gUJk}QCB*}ryi2+Pa9RUk~6I`EWJOb$TN8Nm9{PmB{x=jsk!)@~Mjdowt zH{8;s8smgb+OF)n)azcgkPT)D(cQCcI=|GXKh0xdy3?$FnkR<#x{{pM(HkjjBZ&wd z?92%iH(`8Ss}?LvUl{c5{Ul-NHL90GA1G7?ZA{H2A?+kE3!mn(5u-v`-kgh(iWU46 z<(zQsRID{A=fwb&3RxHQY-`3TY-BI%651HU(S(d%&09mva6yD1{-!>gv1&- z)JW1*O`5E8+#$Y_#Y)b4*?5OJMa3EQ(?;HK3NuV^GFqAv`}RXVe}``5UA#~6O`RF% zWfVk*fv5@~#b|6=&M}dL{KN6s!Q83?$aqNYK)t1T08|~KGU`{&?dc8YGJ)+(Mw4 zTxu9S2I5!4xkbz^UU04YvmU5m5SSbU>BwZc zOqUYkj;`MuLCb-1dd-+ z6i)Z56RWr6e^OM$NCr$n7C0YjcN|qsPfyoKUXRhu^ACm3H zk$%ZhcW6*!J$_8RUhobO*FAmarYS`nr^A-tT*|PQJ=c`N|31R%n^|Z-`|y@i6QOCW zzwxEx_hY5X<6|VH#5q*tFFam9t>_V{LeX{cjAco0^a#JhACQ$u^cYcZax~mo`8?+O zxqP5By&HoiWtw=&8f9rs!nMZLEqT78zm_S0pcWL7qJ z3%*!;2Xr5F7%nM6!zn^mJ~tdyuO%m3p+%(D@U_3Sb>OykR4XI(D2W@DTY*+l(kNkO zk3K}u2jhSMh`SalH!rUOm@sj1aqEF>4Lw_Jh6enDuV;*Q4d1Lk0QkaUtvdlnwzVNHLjy&Hkei~ z8ZGTDi8onf$oHW84^a@G$y1C{XkYd1g3S?7Lc}OWRI#%fs5!gw7+^MzwjPdNns-M@ z`}}BEGvo(j$Id=E*YfQdNmxi#f1in0>dN8cQqnCM886d5+N85}Xiq1wVG5X;QK{;< zkwY0*CHE2fq;efMqvgo!$Sl;^5P~u97u%LtCm)UfuUYb1AH-w?j8nltq3ElF7+kd+ zMp)4?Fn}-M8aRczf!Tflu-td625;;kESDpZQ=OV^C`!ahhE+5?+Lq%z1n*Dwu=I10 zQ?u@^zj#c`Rh9TX;Fm-B!h7!H3NMs&~n92G*){f8Q9HZvIKkC0(MudK6SfWk}*{E~`0 z;aCYJ=e_r>KIKfm0ai|u(>i+bNi@+=zdObl&ir1EKr{5KjWjx6z+mqt>Jr` zfGGe>O!P^2lalAkB0Ys?js{?bSR|v3R9Ix$}GGIu;hQ#c-Zuh^AWi0Ve z8q(8WLu~0_*d`$*WdKG7%{P0+C-qUm_$<*5kfPimSx^w$c=YbcIFw}EaMef-NXi~g zZUoN#7lR9HM}AYO^(4ww#mQ+rT+jMCO_gymjp=e}ODz}8Klzn7-HSEYnL(4|1Q$z@ z6Sx*n2wYh9r%N}gL}qPDcdpV-#4$NuSbZy(WqV?Yp*NUht0@B;KBFfsKiF~95=6A~ zX1*oEtB>6w>1D2AY>di#r)6eKIL*!(uU52J{e!yW?Mxv|C#E9l;p*Xyop$-=SDY1# z2WN9=vE$Pz@CF|-kwT&O{CqJ%zkoMj7!=6K*rJib4+Nf5uJh+>F_q3uX<=c}eBJy+ z{ECWbU;%f|V{i2}wdn57`*nAJIYuSM^iddl>1!Z`2)hE0aRU(AAvXQ~{{Hq&`xCIS z;uJs$>j|emeI_k>EaNJiO}8y}j&7x8ctr^g{4L1V0pOGr$!VycVjG41E0+YL1&hos zHKiDg8bIZmO{yg{(ejeM3)oqhL<{*;cwAO6G6~23iPs;5ib8b(JL+ig1A(b;norzx zwi0#!*MQX!sr>hIx_m8;0naA`qRCP(ge_H;Jcqb4*OjBO~9t!y(zw=cB7{%8o1>~vayNdn;ayW6%$Fv3cJs5KvX zeF$r`Yg{|+q3qn;IZv6lwDAXJ6yF0JGhe3hWV{`rX!dk4zE1%*R93^y&IM3l+qeF8 zs`Onf5qPv{Uo~RLkhzen#ws$@+=<^w5i6TNzt#yl_&QmmO22KFc_IuFU!`C|K3zv9 zr3p#wJ2ZcALx4zf==Z`mX0SLDS*AD}s=hfAIxW90P|b>BMd0-1=bXNpUMG>j6zG3t zF$Xg&TMg^BduQ;vs9O4CT6uvQtN-?l{rmTsj{yM!R+(=Kw$>D#zC8H?_rX}fp$bEM5i>7B|b9Nk}+E%Iu_YDj+`eJ*|ub+>lMY@%UjBdyf?~yN)m@`7Z;~8 zw`}@@&=b-cmEm)0PAbS}1fRFF0pHFhsv+8S2n&|v!LH|d-t6_w1x>h#h*g$tPX-ky z34tW1_RsVXi|Hr|vdT9w_fY70m=zorO!Kh*c2B=mc~J0`-co^2@1{I?c~951w@f!-KSguibIGMpxMNz|IUVR9g^Zqz6`E~3DHo}*Hzp41Sb;8MYz2=!mT$hSXU83lA{RGzQH8SeDVluLL8FxCp3C}}tIxo!;hC>xF zoRaa2^toGyI3*$DdoV&cv1Atm;ZM(@p>+sWkMb=RIS;mb>NzwfI$Bt_4TWkNJ(;hAJV}?@%_V3oE-JE1l$6XTm{B&1-ja1AQb4#-mTr=;J|P6f0q> z6{S0hUz5M@53A<6yEn_?2(%)!T9pZ$*NHhwloaW7+%`305&!W5nr~SzK*r?blVakccN^{#b}j2UMJvHl$L*$3 z4)P!)x=-y>Qhbn@lmJbSLtmBgvYr|tV-m34! zAFrRYITkOZ^Gau|5!=#7Hu`{oF4xE)*~nA@Zr{(+!v6bl(3CZM`N6TwUfq>|BHx1^ ztPjT*B?2gdqt_Sb$6aU$isnCO626zZ2XK6)dWP2@?QY6>`c)X*cPhuL&gEy1a8Kk>Mp}8UvSp$icaR8nrs*9K zSy-4AlMSR~3whqv_^G;6o8`qJ8ethBVtp+nEOy{inSpNp#GRVYe0OtT7h5RumI|L$ zIp^7H{ff?T%~$~jOjL_t&&N6u7ICQo5iG?Rrr;I*_kM5bgvnzb=p>nfEvtOhVw|8{ zVVJTJ*{^>nRZcln6dEJ=>tll<{>jCH&1r1LT>zLJ1EetrFgWo3u78F&1=_(Z2@UL^ zR0C6f$QC`|m*gZpLBpL% zb@kP(yiJbK!O8lHyR$amUSH9RdA!1E>T$}d{>jp{O)nnDTlanzBZvJ;5s5_ywrX>7 z?NO-fgk+_1+T4#ibEN|dFjpVFGOa{$5eHQwM=PdyN&QuoBqN&M$ro&%j7ue?Pp_;s zoND#+SMa=Vw;`jMCi4!Zup7n00CpY7q^^g-J6aZOr^&hCI~`^z(QQkIAZB2eI05cT zu+b71nc$tU%8xUNec%BH3Jn1PfuXT+_OyA=u)H7OD1uopeffVjOLP5C{ngl?cnKL_#-n6>9VkKPASjXwon8W?>J|**ZDSR;lI>B zq>qrr!P51NhRlCG*YQ@wceH>RUyl*{abeRQ+Wt+SEeH4B74RN|5v-YwjqDEh6C8;c zPBY1j!_YkIsdmdBzq{Jw5B3<$FG4Mi*BQa^vLVUK6!+rw+vh&sr zz*aF!!ogb4H}ER|clSn=?f-OZtY7^oR4C#;HlBYPOMw}h2CTv5Ef@21)}2pBdZyZ5 zQ3*QaCO;&l;&tRQ%I8z%2#oW?ASrsch8Ee3y^Y;n*s`TbdDkSDNu(StnU#+aOHwhX z;ez0NLG@WYswjxLDu61OO2+8BM7{-zw8HDbDJ{%RT=5x6N0BDe$XZh3EO}E(<;01s zgG~Q!|A3&+5=`?shu}jfP~YN;hB(T&N9`gaIh;!#!X@Q3vgu}XoT0)HN%Qs;A}Awm z14zL{*Pe3xlT$7n7vs|=d2yzn+GK&K<@6~Z1tTR9(Z1)d&&I04s*jCD4s&Wcs=CsAd#j1B*mURok zqB+3bA32+zmNwGi55MlC3pN%(l$!DxDFFd!U`ojVrly|48(=wk{i9r$5E88NYHE<} zsssJ~Nv+Qt#GirDDzLa}fz8jRZ)4vZFkt%v$H}Jt{tA#nz(i(4edy=+jq%ic{gf)$NRoGXd-G#k;`qP0Vl z_14$u3NHpqga#?aIr@a#DEg(Omw?hESpxUfa#!s|a1-LChu_`38Ws#ad;C+jg!z(Z zGc3whc5d9*8V{0`#&5K^BLiu^4#={T16UxetGg069sfZ&i(l`=d>YqzE8}i z;PFD0M7G!di+6KB8jwu-B^s&1^Qz#!7vURXGuL}>g$4NkULf#3!#&^dH#RZ)z4t@w z$-UTTs)&j))yP`KV3|@AyN$kTkLe@ai53za9aB%diPVQ6MjmGVE6_k<8Z4E(y9a_;P8{yy&P^@xp_PDQ z1p@PsK%$mTTGfaWuL&9(HL(3wEF3ES_&A_fH78f31h(Bp&MyD=RsrDPT(xfymy)7A z2?KON3*iMU-0Y7UBvtVUx|C=(|EI~%N6l+jLz4|)M$X`G`k9R>(zL!c%!uSj$-t__ zxZU`6+Xj|nGXV*dknWx`j=88ASrPMXO0wXlCyh;=$T(FMrGiMsQ?IF=O2!6vy<<^v znt)+MP7lW?=@>weUgCB0jJ6oeqi#aWM1gGF_de)R(Jks0}D+KLwS2Zc>&dbsyyiP5ZKgUknNAP~u^k1wLD{z(PfH=X&v! z7Um9E-PRy~ssJ+bINcs2G+Ip>F`>`NR4L8_iYP=_GBP%(zy@0)w#u50Bpa7wRUv=m z;ivxUhHtJ;o{8Cog1utQSd3S`nO)7~`hNNp6#i&h*!->g<;h5*E-`9+zr=vPn~rj) z8$W*Q%OiiyU*|O^H(VOL_SfX-hGCDbyy~koGjT%`2YEa2n_{ubSGd_kOB`lkGsKsb zpQ^XsfvDs-pI(?#TW?J)##3sQe)mAoBKT<;AIc_@AX^jfe=)Uf7*(X<&wT6h0dz?DFigS)71kWNKsTWg7x)gk|II% z`yn+km$Fb}Cvr)LWpME?^z*=`Ev>MtPF^q$+&#a10;)#=b%FT=@2*Jm|ve`MW zDrRUx6UPu|a)Lys!-_;fuMl|DxAE)K&{u0Swy?C=sYq@(R7(w)vf|u>Ez|l+s24oilUhL;dawGL174 z$W1fO1NZE`U=^8(bM%K2=q8sU?23wu4S%bzZ(-ik_0N`80Xr!V4+QWv0PO-#Gsp@5rqr(xwpBUH+G zh7S$D&{(^Q+(5;KwT|Q_F;ft0HcU3;s$fm+g^R8t^nhxMpQy^fz4X&GA$0jgEu!51 z4h~1}1wT7)DfCmsEwyb%3WL#r9t0gL_xP2Ad!+Pl@NG+Dd?VKsDjTI7Hk%VqpV>Eh zNGDR`Vd1a{#5M=~ZWs*+3xRAwd3a1nzyvN}v3of(3E=5;GS`F$fA#}WB1XpTkLph4 zQV{!!2H0OfQkp)>d)MCwy?}-9XWIPs)fPh)OIJFC?HX#PszdI_1|zgF`bD;C1CF zMPJteH;b~!0J&3%)w|F=Ss-URIy*-Usw{yGX<(;l(h~T?7=EV#^fp*25!Ts53xVn; zqD68F2`bJyIOx%80X!`prjBe+!Bj<( z@qRIoYzg7ZTk#~r2%qiC1#p2c{P*> zZHkgEjqw-c=2-9@-82#o|Kv8DAjbGW($ymKwronsTshWZP| zwK}&fMhvg#+cMv2+beWX#8SU69_Mr?q+0aPHK&WycDA;9y+y|FDUl-8P6?NZ7EG@Q z!&m%0=w|X|wTuy}inc1rB!%4wQF-7-udZPM$i)=2B4&eB1(Z7l3KRPBroHDiN5359 zz;;naT;bptw_3Njg2cX+I*R!i(<1OvZ+3@}eJ7>!5bXDkQbOF$nfT&1rMjl(PmghTc z9~Sx$oY(qV>4^S!Nj#bY$2)cEABAj{=3CT1&`VdZN5&kq=bX0hiJIr;hPhJO1Q_Ip zpR#HxUdwLZvq~rAMC3G2oFRe|^8YY(R#9zlKpr-CT=bK-o8ix#$JsQZ&u!Wfo+Y(DUv zrX_yo!H{2o7N#UKR%`iV3_JyiViNph$Cv*9(sbMCAUDeQeS#=+K#2A|;@!fDH|D{O ztq1%d0DZ}3j>wz&?}yM-XX`VEaE= zxi{ZbryBO)xB_*Ge1*f#I!p$E@^lW;YqreepU%KjmNji_*?PBU5`_#uAD96?uw#?f z39D@3_96B{V#l0qy!6F)|1O^#INx>&yp?v~b6f*1_3sCh`?$9R~^OaW=O#owafG8xhp z16#`PkCR*u>9dLqb&Iot3WE}_4*vW3Z&8Hjel2;PkBd`n*mj`{E2rziZZB@nS5eA= zkk}{ydHQtQZ*{fVY1Kq&V4zc-@=qus0dai-4E8J_R-&Pv*6ZoWl2yu{%HzUOg-T-x46@HN!vi ziGD5b#*Lea-2qmuI@`IwV18a2kQM^1j3(4GsV#$OBqa$XS4_7=)uM8`Rq9H=QVcFT zY)uOf3-?LDU#uLULqjA<(Nx7Vv31hpRpB)3`y#x;2h25X%qsv=Pp{RNWRby&Aay-m zXZp^M&7xd4NOO#`MPD3CMOrWI(0xozvfs_gtgN#Y>iCzBN;%nma|r`1Imo|ne$!gs z`l`@lPXf=D7_#gi#RZJy_hSwVx#od?BYZBgbYCHa(y6@wDeGS1RG@FcDHe?C)Nt#KI3d0R(72d}C9GYx5h{kH z@?)Q|%!+v)K>(*ZFbaYSf&il%)0qg5UfPD?8CfhcxoL;itl^vKRAe~p=p6_W-y7PH zQ=dw^u#@jt+7ee7c1ppZBwFTE4*PT+u0cT00}lX)Hy8u&3#yjtf&{ID7}9uX{n|Pv z@?&Y(Qw1X908uN}2P*A;+qfz@-#?=1`*YHFXeM}mdTz6b{u5BR10 zyP!yN?Evd~6xm3ZTPteXdwb6n<$sX{57w{k0eS|G++DSdCtZG(5A?XWxg@f;N?*d1 zs^ZbFkl0dG3Qi-D2M`l}tYk3UOJGQ-GvesmFW|`bW(g8&D@Z2*vSvulBNmk!4|Rl> zbS!(^;c6rguV6lzq-uPGb%7hc2cf0qv;sFuDxiQ=i6@mL=af;>#v&WKQ*YGRII|PZ ziPEFF7lL~!{Sh99e&#);Ryl=X?-cz)I-$i%9Bf9Cbq<$kJyHY=2&>Ni@&+q3d)N`p zV_5L56LSJXPoQfSE-#|`nL(~CJM%d!xI%1rAKZ6b!wbxTK6qk9EGP$!fyWvxjeyfa z#ED{mv=S>n>}cgYb_Souq(-;*_n~$X83~T9RCs~8QLV`R@b=|r`Kb38-g^}hiDNC` z+siMi1_=aEh*-Bch<jvI zJ_KTGW&;b)o36-d#AnN0=|*)#ge&-zRVMOgbCC8KlJ;!9kw+_xYmi#4Vkmd*T`9!~ zff<(X(Lw6*jay=7!Z6U#N>{6KKDeQ7-1wZMuy%X>VPE*hriPIu_pv){+*b(-QkEMj zdmf+^VBUfI3j|5`VLiaAy?j?*;U@SmS$ZSx zD}BfE*lCVnqn<#4Wd)Fig7>VEokEQub?wv$~Y*qe}`uUNs+kM9NY~fJmD2mR7bt!=|1Vn02&~Mhi zFiBqYCRBB#Q_=eo5>#GTO|i+)c4FH5>asjHB?k#u}hI@|1$8?*_L0`-*m8{L`90sK9f>3H1da#(WdJ zU(Ke1XuC=AxNHbM^TXogQv!Sg{<)x(s38Qi3HAb1MMLE%hrIuRDN7bUQDTj3DNm{Q zx>jmfm#FXEVE3Mr_wuh7dQ3}31saZN7e{zd8E72`{(1lQ)|#CzOmGRzIfk2VQk&-k zE=Giy5~&e=Y^(iGT!%Nx<0vzyzR$jphc0CN0{-SVpC1ekl;u3E?z#NbPnwz|(wcYe z=#m|D%J=zK0t)*Vg|)kTN{u2Q`V5jGxSpS*<;3%8+~!BvyLu{%r}sI=50uQh0gu+l zyaUZ39Ram#;;2OY_n{(eyr*u7)Zx*nAac4Xd4{^*pw2g|%Twc_i50r^^t3fed}@j5 zoPe3NCE50VS?Lt=a+}Bdb5qM{1_s8Cte~WuR8oFowo37pdVs<3E52@STHqK({>xwHi6Tv}|`wHsi#KuWbFw6$Occ6v)+1>>ouyA_)mWkd9iC4=La>G=?F0YA&3PYD#tpL?tNnK95~p&PCv!?3 zG#`I`X5?PW`454leJMY87G>lETWs72O$#-aH6EW`h?~R>tMl-@ZfW;IYk%bOrj$Z& z2p@7H<=7lsQw~|ozqB-=QFPgmvNM7cU%5$A6A=>TQ2=&it@EkFBNVunW)AHO=hvjE zFh6}AkHbifA_)D5ygTDK8=rm)%fnJ(IYoGIk@W#tB`kI zC~7d2z7K6zm<2b-bQb5qRX8!$@Bbg=m+SbXA5|rk(vA(4aj@0ijs~T3(m-V5Q;YRO zN8H*S4OiNv#2j;Jl0KsrUX2XX7*Mfsp>aoZzgaji<$lscPNu7VbFz4{B2yN6x=BCFkSojb}q88YAsC@b5F;U8?~57b5T z<|*wkIE1QB&)3F)O%n$va@^3*XEol0`4$m{fmWVa@TZUguA-3y&)k;W`N$bp7K24Hy0U&} z)_FZ7S_)l^G;?!f$6&w1B5D-W=*(J6d)q^Bi=l+(KaUSi{XaNbw=>ftF;ZKYKs zS{`(-vSKC2&6@E5=mCC@e)u?CpM)wnlFhltr4+9{1SodE?g<8$n!9%IEZtu^B^uNDc1q|_R#RwikPZ4OQ?LaUC zH6_5~Ta--WKRpA}uI}{*S%7o-I-JxG+%tMQj?_S#i>hl~M?`%4!Dvoia<8KGu88Im zh%4dK{Udd=(scX!P3?fHj8Fw$^-Qs)=D75$hO;MKIC|o*?0X=Vn8&l|0|mtMBjMYG zx%HHa23EDe)voC~ir~Y>gR3_$VAyf2eS+!C?xd?O+a0?7K}ndobhOh{y*B$mM4@?5 zRKcbH0is~CW&xlEWqAOV1UyCByf0S*hi9ev)~ty7Yw-ofuK8cXGlW&Bq}cc4HC|_7 zar!A~7px0gJ2t)yow(F;ZS)+mcvC-Kh!Wfk3hpUT7t@+@`&r)&yE3{zi!>5$gwJkC zTdaJlX*Y9PujS$f3m~ZkjRK;J*W*lsrw5;S%BmFb2hpCji5jm->E8Nmp1HPhAq^e- zM(Ur#e^2+5&^P(-pM}4>t~`_kjQnnA5?Ei3WaI|pVpf`KE^fpW;2!t{a&{aY-{8bVoZ{_N&PGUqu(Moii0O{>)$OR>nCGb8MUak;UNzmc zuE2AjrigdCp6{Pqu$C)q{weoU-e0?k1yphzG;j>&3LkJuaOCk;wyrsF*^qE4!k4JW zf?>d*_5BZ}#R;Ouiu^c_=;AP-2zH1%EJQTb1_i~8cF!n+Ffy#uM}61csmE8oODI-S z#}ZIWh(wvF<=A89nU?Sn=rp5nze8E6<~x>m^nuqK1}IbP(}#8y0)&q62;v6xzR8$K zz50OVxT#7Ey*#hy+C~qFB{$^B$x#*U#0iwij#e6{?v|P26`@KabxRP#*!(!PBBNpl zc(ZmH2fyQqew5G5h*5=|wrrg!{H~ z_{jzz( z$^;N%4fczT1xAO)d`3K0`lsI1l0@0G#FKt=P)Usleqjr$#JZ9uG zb#s0f_D`-8gzEIyt& zn%qTDRHOIy8H^wF%VCDeD(UTuP&tJy^|qS>aFWkTP~nm-CCSQP)+-Nr$wkeb@Jjvg zAp)kN1xi&k04^}fDpk&XKREI3XUO?S0m}uRb$C)WAO11^kXs_^Cq^jQ^qi~=yS*t2 zK>`Nu)>rIEWDn?cO<6_57Ac-k=eae!>rv0OW0^TpCwdo4K=Ry1dndM6a3htcf?p_CY730^NLh)s_>@CDuKVjdNY>YU*jlr{{15v z{Ny%R;(QkKhP-Dui$nVCgb%LtMDpmMYI_s^E^neNsu zyy5dFz|XSvFYwFC*4FIp@d9wX+pEN)#L$~Q?(8D(A^M=reJ3JZFVm>l?TuAm8RlAD z>Ya$;tGGqG&c)w1)88j2*I23Ub$S<5Dc$kE+9kzQDYVOns zoG1gtra{nfvrs?-A3%vX^~DY)ftMu5b*mu}UhqfEuT0#C@+!S}KUa0)6%(iGsM{`# zr3jvuthD0=Odxu*;vBZ_)7~k0z4ln9TDrdBI{C1F?%+|m*|~Xfd=)7=krb5qli~V) zqE0n`X!^)u`ba2>=bm_KPqx;O>aU2!q5fT{8%r}9#HL7EWH!$FWF3lj>k{C%dRbi1HB) z!dP*yN-xTGA0)sxsT7yu?_I7%Edg}9h<^~JqyUe`^J&6Q)Z~KsobElfkV4~48^35m zLrxvG`C&?u8mbQM%Ozk=Qg*&!RqSGM`BjX2EcyrJ~}0=DzC zOlA-7javl;XD&8tR7ViHC{W(M7-ZOB{oeUZ0)84UuLp|4s7KE?@P7j?Glfbe&S%i# z1JS`yF=Uci7F&ZoJ=7VN(JcMUZ6MvzrETyggfp`aHG@uX>Fq+xZ-~YWIsBRM-a=A- z3gtq%!Sy<+hTSc0HH^~ z&$|rtvOt%PlMoc81Y@@xSoe)FFY(Pgrf$izP6Xr+tt#F}i_u^?eF&ub?Xl**Ae5Jv z|BD8$uV=aJd@^`_d-DR)lS`|dEHhaiodvSw6IObUP$Aj$s^~LvzRI zVajAkF%uxB{7CkX$>_iZdwuu&CuRO+sP?8s^h5OY^-Gc<(X*o&8mqOTI;rYEKOLC!i&)=VQyLU$QLUFMf6<(?-1=VhYe2u1%*0Bar=q?>0tt+?w*^ z@U?2{_S5qlzt1b6LpS4w_f6lyU+-e_c!d ze5shwl?JU}w=^;eJ0*v3t;?I#w8r4T0SwIBZW=#(Q;7Wd84g@cC)e&uTdnYtih{JX z8n-u5iZPwL1kr&F+Ww$iJ{Oxz@%D=EmL3lZT*ESkdAV&h7cJ1xy9Xx?wO$LZ?|aHI zUG7oX20oE-)AEsh1F46DX_@&6d+Si9@+P={Lev7M)adZyXCj~G zt}!S~hm8CaS;&gL$Mn_0=XXx>01LJeTUsNHE(x3)?33LVv(-ACW$=%%o;BH87pzUK zw5}uskeXjgpY{@qrlqL0AfE)njNA&wOk9?%{(mQAEjEdzWCBn;Fa|!p4XWj4mJ{Rl zqq3TLL=7sEMZW_1x-&l|$D30RY6S^s8?%t>aDrbD?(!q#iIt3y#0N zz5)q6s`V=IwaUh9xYkxyc`YqzK&I!vgra}Rw(+ErT3x=}Kt_6^%}i@gI?_T84NilL z%#lwP5hT?3w(Sc-U&3w@awIU3|2X{R)aXDyxDl*eUd&dFUdZ7VB6l#F5Hi2>0sg(z zg9)t8T5G1<;@58rA#sF)&vn>>Fsj7r*o~}Ct@ReR5b1C9m)n~g~SXe2s z5UA9BrS0;yc(fd0G8hacM8gb|xA5i?CjzWs4+O*L9Zpfb}ylj88p3LI(rU~2I2*@_1f+iSz zQR5*PZ=Wk4*dSG?rB&mUo3$>xKf`c#4bFybcqW%0CnR?Wn9&TTt4N6Xz2r^zaAh=vKHq1#W=3*0 z`ETXUxD%|oaii;hIuL~ugoCdfkZ+|;>t1yYK4=;!)|r12o^>KGC8eZ@G*Mn{^Ep{e zjng-f7rt2zJS}~thj8T}>RXwYStVnEgIFNA%2kut*>O`Vl2ya;-sk$&`x`BQPE2$` zw4FHld#^}ctC^nZO$-i3|IK|CObn4PLMZgHLX)u0M-lL=M+1ef%(sUF#;qQy zr=Ma{YWWN&U5GDvCw4{EKX&XlWTdKv>7}hK48uTrD2r)RpnxCx*vc!MLz5LKLCZt}r#Ld#6V#X4 zD17~5wGeR3%I|Oewokwnu|gm`5ixC&iO+TTi_BCL+LOe&f0JHrm9x>H=JZXDj^+bV zc)$)AAiDRTTN?<;D*}?1;Kij*<)Ca7Lt|EE@?M3u0-yWes-QVRTJ=rHvZric6i*vV zO?f;0AR67xl+|i&2Zk>K0r0bV57wtw15|w8KhgKS;tFQAXWK^V${57yFJu~kXJ?)o zr=!8#nGiyq?o3_9eRB=VbpZVucT>dNTUBXJ|3n6`yUkp9%CrkfH0t~0+kGrqMqDyv zQ1NMG?Y&eBMw#?j9$3KPh|R@-CzE4fwGw8QP5iS9;q^h%RC$xHE116%u?U9^U8ibc zA0S<&HhXHWYL2dA1OBPDDrH*gEm5@aKgG(`Kyq+U|MfdLy|+&Q;Vmy0|r71Jp5aZkxXLxxb z*8I;%+9ZMG^C`*d^#&X70zJrt**uB5`eU(F}#Xl|6HP&#iatJjidtMp+T z3C@yY^H&1dP2Uc^*s9?Ww!5hshg0zZrp1H~`8X#fQ}pWPb>T+-&<>)p>}}3%)n;UxM0KGl-;o?jTGmIxBz-Xc4QK0W$Ta}2 z^WOCR8}9newdjyx|21*9C?iY${B%WJEGiGMt7SE%B{U`!WnQUOu0;J9LMIg_nwTk7 zu2Lvg`_@0#fre|Cy7$c)t0zG>-%;C_B(L3r=)x~t3bB>hN*-NuVV?#hq?O@Fm@X#0 zTn5B`(t3Wp9BFrWGXL6e$NRUvX=*4I4?qBAsibp^8e_Cs8gz5w!U2G07x}7hK_tbD zp8JevixfL&p}ZRd^f$Sr|!6)aFi3017KIBt*l!Xh2Uc zcwP0j3VHiaUijZjcfnn zFofVvm5f7TZ^}(HD`Lk-EdFui<3T! zP6!8cU?yH&O>MwZCz1`4z5d7Y{f&3{kI(V66gg)`H2ZEJwv~k6d2EPzrsR-L?39*& z{p)l&3wvG$!o1BEH7_H&gj1jF)Ljt!YF5ppB-FHyez zY+v2Gu^1+~+z%LsMU4vcY&u~F=J3S;s!FaG{w#i>dft3>u*WJml}tW+)Jp@1){QS0{qG6V?(vPd}|XZf6xX z_HBJxA&6j%ND7ZB>YzS2>APMYLkBpP9IbZ&53DT0g%mbM7cpxU^?W%kF zVaaehwd=l^`rC4-T)}AK&>qkexBE;@^!vyteY0jQs_!?;Q?D$PFEkF@3Sl`NvI#&I zt^LuTkOA(-lfVO6DG*$+P@vrK)m|R=OZv^nkzh#0Ay{Rm{ZjGQ83i#_4$!?D3@GALdtt6?9{^P zB$qAgGUjP7J$E2e!widJGN{cQPcuA7FFOYc=Y`Th?@*-mvw5(Xu^eSpq(& zqHpszM~wNmTW^e#P|Od`!*1b(`z-G5W- zza$hmmgCc%pQPkEq=-a_!`^c!dAzgpU@%Kf5|49)pLSr(H`@R}{Z6sz&)d{jBomdS z_aq8Tb9$L$FPx|s&$H=HdXBrN3P8nAq90@KIsgQ>tTjqyOR07&X5z}gr zwlnzfcTPuI6>D{j_?`7|?)`x=LL>*Cp2fo#y1yewk^-DlpAYpWPFS@L8pa`x$cik( zS>x49=bb3fPbtJ^om&y&^{EAy0B3BWw#L%!;~4lg4(ox3$EJzN%AK{9S9I9p)3vnB zqvS)<>!0Ng8Xjc)yc;Rjw`4*+9e84WDDE&gk~S8Db9b=9;5&J^?-kAu} zg-8Qy5>ZVlrHUecr4al;6$!al7|6{+Eq(U_Z}z}2)6XD&5qLtL2ONZByM5fB6r6)Y zPKs!UR*B~(XN`sM1mr~ugJ^3pzwG`dxjFSo0DIEJxNRL>fy8S^;4P;e%;37ZZU=x1 z!-6S93Z1YjPbA2MzW2nVZ@8{%Z==5N+y)YPA z3V?{b(Vm`6*i+o>%%ujR-UgDdm^j<<(FL%rLiGcJ{!EXKFSFLf8T!sg+J$wTA73PE z%CK09vQf4FY~ei!5x?m@iQGO+g#OJsC!;*+(2Hh6m^2C$yN~h-WI2M*Jg1AP5m0(X zWgr*vM;#gqL+0I%Lh8>cNHq8a!p4FzM_Tl~m!?vGB#)7=NcyY8mJdqVKw&@F1BhLy;T4Lz}v%GlTqb&t<=@Zyr zc_=H>$gwO^5@v#e5K;-~9^Yb6L~}Ky+y*H}luz@XnBouZ_}VL>Nn(xokT8~F@>`OE zMaBm9zfn%kM+jI!zXooIEl~fv^@!%LHICc?_f12CbF0gXjD;4IK4mh^%F(ipyNnwL z3oQk|r*xPS+W;tsps`ICoICGtM#4A8P(7#Iqlu&rl={iS`rI|Bg91t;{8;i5<#c7Q z#l%}g&WZ&%cK8NNm6Vh;z2}fR^xoZRP(<#@@usZ)JniQ~gQSE3zV08lT}bHXIjf$m zX1^vnA3K40YtY7)EE{I=gvyYRuM5@Xvwcivi>X>5S}Cy=+K5FCIR5L z6-K?KW=k2cOx6eW3!gHg1*8=fIa|58>)GrR>>Cx&*QNZP1T4(=S^6^oK57uXcnmES zO+A%&?%Ppzb9J6`qWxS#Zi3?PJhgLfVH=QMUvQ$*WB=`4^%2-Tevf5st?cb=jk4$> z{^4l@jH~(1FKk#yKYZnKrvaX?6!B=VOte+t>s;y#eHnF>xC+I2i$te+K)z6y65dBy zw5vRW_Nz)%4E#)`L=DTYGTG;L3;IC`EE;xnD&7$Uc2ki87StZp*&R(Trwo?kUlWCb z)u@Tx`Z+@P9(l-*#+Pe~Hf82xZLH<&rT^AI0og~IY#bc*PJ0r!cX$7GqEge-AI!;? z4tZROm{#pe1LiQ;X?w)fD0%m){#%8e?L^|zo;{q^n=FAq=l#Rh;~IFR>d^M95Z`!Dr7%6 z{5q_2!F_RVcPpB8Qp{dW9t1lv)mes&fN+Rh9tSiBFku1na^)`<`4y2*NaVWKnU4HOh7n7doO`hdN*1hl zp%uUBrZcmZbf>U!gYi@2SPk8e&iKU~juckC-Sf$1(pQE2Z)lvO4wd(S5U&ffc9M|N zJp2ZC2G$uCL3~ky$4~C92+|?CQIc{Xz`9_iHiiOcqg`&}{&+sH6abc85Q|zIhI*$0 zT;LYXZjWhwRH6V^;eB0(tg6NaQS1(NH>->Z%8PgoBy24@L~J(4q0$(+f`2pSYj@*% zLsr!0q~L3N9XI^w`?m~E;B95P-sMOkNLZWrU-C4t=;?M&mQh}Nj{!Yr^$oh&&AxC# zMJBK{Zsi2SDf=l>=WPwNaCbYaS+`t;uFIN87{UMNiI+PsY<%2dzhbvCp%vet+ApKp z&Y{kCQ)e+Lz-oQZOuh0CzB@jsJEGFXOnOWUVYSfuJfgT>h$XIAP1T?yLpw#As_&z> z_t_Z6>!#8E;Q8Zke<{0>+&H;l0QVg$R)I=I?S%H|J2$Oj)`D3uBxi4j;wbL4yu;|j zJyGKLX7@;7IBQK>y_utv0+QPA;t^W%*65xUlIh#F)kp;V(&`8OHWEUFL;RR#xC(g2 z=z!G1PYIMgj@b^;0uT;2Ebg-MMVQG(Y||l1Lhe^i&DnF^0w5Jw)}KO0mtsekaU1P& z>A@==9>C}REoxQj4#i|mA=u1x-tfS9%fP|kZ!XZ^=fa1Z#}OS{aOTSFuXAQo7Oo~` ze8dme;vBkft@!BtzKc9AkC9~I{SCQq&}MtJS1^r>1vV=Z#cQ#*lNwqdj;gJ2@A|OG#OiCB( zIKkj&L-Eu2V~^WCR07sP9GF6@PrPibjHKiNHTc7EU}%xhQPRph@8QRYqmj?9GHB#O zq33QT^}otZgCH72(ChG3{Hlw*aA(8LXUw3R(dLSF3)D` zdJVArSB;&+iX7dN-Lz77v_EU>jm-OMk{wO9@gfk6My*PEO8UywC>HS zw9xmRJUq2ucrKP;Z*dRCt=?suoDXFsnNpH7nq`vZF)SxYOOU(V+}Hb&GCh~IH`%Tl zH|CBwKmbDrZSn9I*Dj~3ZP@)v>X+!}yl=>Gik#1H`7iob<>K`zBdx9~5?#SrA73_w zK6gq;=W?>yBW0;FukZkTH(R^z@zX%W=jvm1>Ja{udoR%>ZB*SGU>F$EIe7e#cRwkL zGb%?FFy+|x)EU|NGu%BqHGxi6#Z3+-H0b-NMD`IE|Dx@LP2~IcR2EYP9uH(@P0sL} z`8+t3h7=>Vqin~6gra!i%}v7AMhC&0so$B@&FRk*^#z_CDH3Og4~upHG59a489=z? z#^q9u7zB%%WV+PDhh8y_&Ed_hU(mI06-NArO`LPmH$`uKw&tl*cNjVc$7{dzZ*^gD z@sMw%)++zo{CfSo_v7ED$J>ALus0XL@>f`3-C$1=+o=dKYV>t5vj0E>?<(M9&0bXy z(BsQZo9_$U+Y@|NI5cvg&HV8mD>WhMe#X2wWjK_qu30G4lXo4$=X*tDNPaM)fdCh| zgnVTja4GBzFMyfLodI*@)+JVT0PAdG(A;!YX#R$%C0j%4JvUDMMZKZh9-gCZ^m{)|s~+JOg_&YX>ZD*Vo;lfL zJgeR79W15LtTI#M!_S}g5to%|P8Bmled&gr|F)Lw@c027^OVl)+c)8v7p}ISA{QEiqhfmFs!~Mz$YX1RIe|0g5!8yNcvlFogLsJ~J zDRjjI(cr!M=?@V6{0~}xJwRymD&eabt0@$8Am{%RK3boWnELC!h%CG&F#%sAE3Jt` zE3Z~3#~h(0uahvB0luM99%+WiN?|0{f)22+KIlI*`Y8IQvbVCQvF%~|r;seD=gKP# zsTUV>{+6lMl;jeZESCva{5DAQGTUa8&;NZ*En-|vLW#5MOhzeF;int*P9PX~Gn(qR z*?|Hv0=vAJ5eab{(D@oac>gQ`3|h=g#XWl29p{x#k+ zrx%m5AZ|~HZG;vnf?@tWHH7C+T%?l9r@T(#Nn#`%7A1`2>a5P!z#x2Q$2-W78)xYPaSJ;%RZMqulp>t zoD;-+UPR%Jpw0%LTO?+l3E$j`?Q1u2>>E!vjI^Lkbng%fTx+IOMfBe==+i5Oipg=4 z9U+76+f2=hjw6Q1NMJ#|iPb=$!SOv&0pmIp4HHfwHVMspJ{3|92>W;V}D5z1ydEOOpE0`+| z6K3eu2ib^wL*B6-H88pCP(v(d3sZIrUi)lbu8WXi600*ZFFnqpd4(j6p`m39KjodB zN;7m?L*}s-j%Px@+sV8#8W#ekmZ%=E45qNTw78g=iHQlrj^_+vTJ`4d%G(vy=wo{a z*2lRXw@2BOvGWw=nV2*cm`FX{=fkm~!`&qoBy7CPwx54Y-t?giSJIa9zV*;;dIRAqVi|6Ts=)aKK6G=cKzuBu6MT21qh&C=znPeA{jU(Va0r&reW z)-#``v!>$)3<`V9*9f(V+fKvvkm!C_w=mkfer#{}*&Z&P>hK<4$dj?uOz@o`z5Q3p zx6oGj_o?D7<9f$nB<+%E6{T~yi}~q!P25uKEy?l&nC7+*#35${hE#)n=YzE(@^H-Y zABs#7`--!gxdphV#c6zU{LR^3rZMHOi1_$q!uiA9)9omX;putnwaQsAY|W}Q<+L=| z=7kd{D<$!2ZwB7K$=<{SW&A(;g+f&!Pc+Kx5>pruKA)q*obraOA8-c z=ue-1QJ~vTKQi%D&SKUIAqbrjOI?KTV)wlx{tQYWc;H}<0nBw(bBvIK4wF{vIkNSY z{nNAG;dcxi=A$R07nsz>^>Y8PFk<`!N>ucKAW3Nd2uj{uF?8{;8pNC11vk`->hm+H z8G_40$8i*NYl4hPTu1!yzwVcc*z|JoAhG56^Zn%@+gqB~Q7h{t_`4%!0yOD3uI2ju zsnf+jTywDa0S##AQbJdx1}3fR`%Jw1cEAxyj^pn4r8Hx(`dCF%V_eyl=xBEFpiM!0O@K~|7?*mD}uIXD3gUJVz64+Fb;0dBT zCDbCl&_pA?d5bejxCH+!-}r+ z81SC@rG4@>W;G3r`FYY8_;$P!-iQ_BItxKQ^WWOO2S-zcAD)wUc^!OnE&FxMY*(Q{ zseD6RV3Sb|Q@RG~sXSm~)S^E}Qgd`sKOAedIQV!?D3z)ulGPRz(m6#+iXb08mJt?8 zmMY(Hef7B8kjrjrqj-@3)!kyJn8sJTDow~9w}lo-wJ3lY%jTA}maxZE%Fi+p?8;>1 zuKoolyzJIo^6+Vh;tga92wuNvSkL14Vx#KX&Vlj^KCu0-#EJwc@|LTamKe^?HMC8d zUc+8r59<^&$rZw<_p{G$%L*OHDU2@Z&3ia6r>0=iS>)Xo)FqdtQS{F-w+5dz^Q*A+ zGHFzQI&?BI#V4jY@X1tW7VCW@XDOdire+Jk+m(Mni=Y=Adc2i(SKp*Cm-{XtFT0}% zgY1{Q(*r)V5nhI4prU52rI$gIP;D;b+#!?s77+>uXzz<5H!N_Z4SLH9mI(!uhQd7GkEH_dq;WRrt{1*7LJNK z_8nNeo%c~Ji49oCHrzr#FT8{3Mtj?_)PfCAD*kNC0ARMp417nmWlM3n91o((2YPUw zutH<*a$Na#8-r*lF@rgS@iJ7w*IThAH0);KuJ}^U`Y@9m%&?lm%@1^mjG>hI&3EeB zK|LqY^;E^dnVElk;%Ny3E}E9Gu{~3v`n#q*DFrYBOp*xzyK%0z|yOKXLu+T|b+tNBeap{iCL#%308W@aT@SJ7{}4 z4#8%9K|Kt8*|?PtD~ap$XP{@a_X|(y8Inp>@Z&v_j_Du#Z@liQ70D-QzL#_46`F|) zr;g_C30U?}n6%h9eler3ZuqujW^JE*>V6}Ifv?&q7?M5X!{k)egqG-0rxoh)4T*U2hUcASNe1=Zhmp6 z!=O(q7kW(k;8-@D71?ivO-%W1xVr-blmT;ZjSK zbrMJ1kcMNMn6||+HT~TMDZ*j5$mb;X#T!%ZwRAdzk_y_0DMB^jV$qZBwSM-l>dsyz z^DzCDqsUgIgZQ=e%K(_tD=Jd7hD?FxwvFwVS;3>*2{sVvm%CP9qid$$S);c?W6p9z zXQ|X_IhI07QL}i<cqoI6@!9LfCF_Si~T}Opqt_*mIZ-z4^en6a6#A$;D2VbJs88)H57D#Z-`tRz` z+cKVtD@s}J#GXR_iGazVX!25QLt?gZ?NOi_M@y5n6Jx>6JL@Dau7hZn)KD&K8=KzjJ<~6 zvdID{zGbyxQZD0?rBwtb>f=Dz2{U-JH}7^67d78#y&5l9wWUxoP>>OtZevaz^ud{`7HSgwo=E!le*pbJ0>6awv*)>#xy1g| ze)e=d38SyW$g5t)x?tkwk3r8PIQ>uYLgoxFjlYEDSk$dL+mbybD-A?jpi6^v&p{+9 z$awJ%XDeeEHYl@s4rIpJ)^Qxvq^F(TM5dnM)XXU|_6@>eoroA97IP4#I;NvDUb{@u z@+1*Ma+2P_epGQ;QX+^{1Km^u-B2>|^Ae7nKyXY_*;9z*sQ5c6g$Ahm)<3~&flhAs ze4IPh57T|_KOwj#86knst>d@y)Y)88;owlSi&-HSqy#aw9f74A zX}NA9xH_8DK)0b(H`hoiz?S?}0zFjyooGf5zn($1s%Ux+P0ul3@u4~aR0&+mp;%u@ zBPpACCaO0vT^-Z_Nx78{F^*u=FwF*eV~SF>!nB*DSC}PYxwPkQ(yN%10zDLigBTlh z#{jbR4C9pvDm6cPBS66ILpS`)mmBm(mnxEFGs9T@5~iag0Byc)v}pqff{5*S&#P2x z4C$>Tq$*;*K=tM;ScOYVfwHf;Fa9L-JO&-dAUos@BO- zFm-5gzGR~=mu}h^mW|~&o9>30j>(1j3ye0!G<@lU?3)=vva$%l6bDZnpe?;M<*)UF zs^&aTaiVE*I0YEMHBd&qpe^amJk`t^zj5Y^D8-W=%|RXDQ%63*L*2XAe9!sjHCBn& z7(`%qVi&s-yO=KM1SFLU*BcxjXj|+8Z55OGBtF?kp=PdY3V1KbEra~j-nXEhy=xw5 zwl>G<*^6w8d$S^YlDpX%-?`zS>gwZLGirQs=nE9|>vSd*TKsAL_Kr^wQX`z2If)c4 z&;|5GdP&JU_`|n{m@bv*j7Ip>BfIYFxIB@sqeuc5Zj5qxS1UjL#K1k)=>eVqqYgK| zhH&HC=;LQlqzQ0c-opjV`VAtx|NWNc|DMR#(G-#CLW7RDpTGB5-KcMk~eCT+0q+_^)4 ze?PA4@*n=gf8bYs|d za|ToAz|yHW2B)eM4EcOaM%t(blk7|F!*C2niX-?%l|Dz{xnLjTr4dH-JUA9{qs|Fi zAY$1|Rmflpr{@u_$I@J_jN;;=TRP)~Np6h{acIXu9_@OR@$xu^ts^v5t+vOuZ%F@` z8NJ2m3%`R{n?qAIdiESA9$0p9)1pn<#^4IK*VUN6@(R^&|2tHpfT_h0pZz~KMS;rb zInK)`0c%-L87Du&m9cq#<-Cu&BO$9kj_ut+cRG#jI$X(KW~6in7w}0w4!0hr)$i>~ zNuOf8bP}tcWh7hYa=sPWme?W8^P>ri-ED2qOoAF(l45XxN}vmO886;+EyhY?ixu^3 zQRLKZuxx>#&*1}mJK5Xb>J9BSZj#ZPL%ULtUjG3C^4-bGolKRloS(w5Y|?&{_jNSr z@L5Yw@I@ii?%ga`1u)*w=`dP#7<2Xo(z)9>F5HxRc)Rse)FZ2k1+MK?=k=ne%(MX6 z2U>(Vqr_nl4?W9sN1og?zkVxNUEN9t(;RI(ieL8QxDGFjzQ})l`81|u zF3LULHNfk-`1LuWmD>dCQy$L*n)IDM?$F7XH!*lC*>xh7J4C8?kgeL{<6f11fH6DC zH!jVPE#~Oy$&+qr5KyIN*Xbadbnl?#eiU>nR*uoyMGVKIf3#@>#2X>R8~+csog>t; zk0+n}3DVtzTc%k|$!x6UO!!%O3@u|0AKzbf*H-5=pl z>!B4(tfsXs%vvmRtbvjF5?}fDi+tq$Pt(_Oe@ax2>+ppuFHx?G>~HVoNXORA9|1C# zUZ9kpCES0Ebl5xQK|jNTDP|d%VKj?jM0|n~N##^?4S2ku2BR(0KQ*b(VK= zohChek=nRxP3hpF{2fluoaRLO1U*|c_g%5ivqirC-BdIZ00Ux?w%xZVoR?sy4!zZ~rPcly3I!euAT2eVhIa3u60eLzZbg)wrk{CAQ+ z`v0X^EE0*lvvoI}REVNTZ*MP8Km9aMKm9aMJ@pjja+yk{!k#^Q2!+1S1~1)qw|sm?(yOC6UHBTvP(sl>X83_inw9Uoz;JjGYO`xUkw-bT�*tMyT1}7MSm{b! z^@3uuw>^a$@B+1_+bf}#HP@ND@)EVlD+D_C(z^Gl4d2so9j;`qa6Nw=fPfs}q4Yz1 z>+&>b$7UI9)#&cXLv@~5X_lR+wEB`BZBdk)mGPYrT>Crq&9^RcVKl?R-V`4=JV52< zH#vFxFP7v*1s_M^+tK=;@=X4k7fi!8I5T^OwhfunoJ?;VKG46D?r8tgg@2v* zT>;C$y8IPB`<=_oshuRH8tvPTPzc00J#(5;b2g|W*scEunfR0+{otZ*%;!jwV-WL<}m;s~Z=A|TQc>Y!c^@r{dWZpa_mT^v3QfNESlMOFzDh#0Nmw2H z)J~ZXZ4a(c2zd|~FO73%?#!Zp!9sNlmZ(q{<}PvZ>?Mpq99wGRSnK0!1{e!iNDQKt zVIpFxZ~6y|MIv+VDq~Y8$u|QYOY%`EPcfqfaFYEz zci``>s7kI$Yim7-vP!|rG)?~EFaClLe(-}R%Dsc9)hHWf{(Sgb{L$OPO~biP4z(WM zvWir`+CaJbMKEi0wIYgCQ$u^k_y zJKX(1%w{)(cY1ue`c?S${~HNv!c#6h_~ZBG{ZY5-oS8kdSh#Epv~jHM z*w#I+EWJr>yy0~W7O>orT9P?CbDn?u{PQ%d1~FfpC%c}!f5owjQ{;*z_I9_dsR{>p z*VxL8=NGk*^avsZl4Qjs-?-rwK3by!sdy2eW+RCbz2RQs_efsBquAcK{SvLiFJrnQ zp@_;;4?W4Q;~%@{^2>XzyQxY^9;{C z^9)Zt^%QMw4_Kn}2OKwZH~IX{&)-!M*~*1*vzq;rnd{t~yTHz#C)WJ(y)^a`e|YT= zsk?QgXglvu?B$b@y-1DxqK-WNI9Cf}%*hf1ohRr>A6>CV&8YE(q0e(&pTO=ugs+<8 zA;Tq6nI~o#^v;c;y!>CdSra*F7AdE@Y3n*bK#6m7$9qX?G3td8gv?C@%>gaR9c`MC z{B=UMO~A3)Q!Wy}^lh9w=b4$Dp;RbyU7RDm>j2wh+u4)YizG-i4C}7XxE5~IW8ALG z>@p+74GWYgq)$NWA%xtpw=a!6%-w{!o4EcsZfYlPd|*Y(_Nug-+rDmgX%QkDym!ec zaeDUD;?27^+{=N~K@>@$D{L?vxkFVPr)~y`hP&Cf?PEkF4Lf(+qmV44(GY0yXby?~ z6$7w42KtG$bdZku7^=>3L6fj{eE_*U%i(gKzQQDwXK^lm4z7F!r{f579S1p8pQ2$m z2&gfv?m@?Nso9gLW|e;8?1=ARPhu}K6C;EguaK{*q*RlS?hxn-OF$HC zKR6Zw4#<8SW|^#P`dpXhm2ytJG$$TBPNpnaBR1WW`kuiqvIkdYR>r+wo zgIQmp}SuwLw9v+R$}`SeJ68++gHCu*W^n? zDmC)*6>b&lIN|58i%{wK&j3`WtLlwVJ<5rbVsDSp5gDbJj@f1yk|?@ zfz9%`%SMTlGbfSt0^P*u4fk@e<! zdIL;WCOI>EW|2+tj*f+_LEBz$D@}Wayk(Bm*7#doRz$v68l_>Go-!HEeSKHp-l}km zP=j7)BG%`5=#*!?M58)Sxtya>R*@8gxw42qDAN*-&==|3lskCIC^AwUVYXJML_7PG zIpjtK>*}Aw{F~5m#Oox*`&PVexmhE49k^$Eo~6;>SeLf6nXcmlMdZO5x^B8tu^f#? zgE!uIV=>7%dGaKtX|ikAF0Nd8aCYAh0^j(?H~1I-;$Pr64!`(|zsNuM2mfHxuU)TG zVL29Gzx{RIo_QO9h!Wv%?f6^lNbK0szHN3m=vMv~&%g5T2o}Z(MZ0;=p`W3(>tT>p zDn^Chy7*h1ojnUcOpEce2Y!}=tp~jqS2Hkw9XC77E7Pa>PdDq>u0y95<8c4`h^0JU z?sRR03%OU(ohpWH;uli1`38|ig&u#3f$9X2+(q=vb*@?y=(0h<4RKX@KaTPQ!m9jK zw#&Ho5V$!6Tzsy|pkf?kQApU zZ~#pTpc)0*vTxIxJBw%*xGB^a6LkzFh7sP05cna!d1Hn`ZHgVOeLOy}leARw-nTZf z#{2fK>HO(rZ{xf9HFUGYl{S}ZdlbK4Tbvb&`{JA8q)v`?O@+ur33J_>>t%rA6E)ZnJf2A5;5Hpi)%Q)^bYmQ$hXR-HnlfLqU_ zkG#g9r~v{e+KafiCfU)CiuiojiWpIwmgJ+=H^>mm^#bBZSUh~*S5QUe=C2BOPNcH zRG6b}M?L4^Rao(TiKxp4^0P}%^2eG3`Ge~YV52(KV-_U&# z0)m9n^C)`jZY~QZBeH@c$)tnr9Btir&~sf1$p&ax4bIG+VY=!GAjrsEn3^I}G3bZ} z_{oDGq9d?1H}%Ovo&W0_|B>OwHG+XoKGYUryCQKo(1j+-UP7MQ)}*ei-%)TJhu=H* zOc9gro82njai?M<)N*j?3vl}dFL+--s13Hg5B7Z&{C9so z(=jDI z>N-A1WV2aPsnqwE{8`7smEO;IY^963L7BQci-U#e zx+EQqHp@hFJ+83gG&op&g_wGgImt(#A)>lT3h@Kn4j$yTe?N|R@0;_Txe}MBE65@! zlE}8!5PhljX?U_@&|*%|u8-h%mb9{mDjIXSA{jBxoY+R7wSUDrwyRTcuA}3rEomf( ziMx=5r9gIMzRcC)8_51yG<_eB_aEYT@A}^}$!-v?ju5SlAX`iOGTI1mesqWnY7`*| z-JJ>cCHK;*4cv9{tC89*2 zUf1Su>*hGA02no#%nhbSUSh5=jDw5jKyRpvh#CYX*bK4-h;%VxS2!B!5n zE=k2cXqdLi`N`KAnLZ7bIbwpuiC_;=*$=TE>iBr;%{O@XeLsehZ0^HdgSSm60k1QZ z+U^+-0TjllzWQ18a+ZM4N2qJ>((lX$;CRW05?DG08+nT0Rkto@FLN{Rxub@Z5GUGC zESe`R4EpJ|POhE<0h0bCHM7QaWg5w>(QleO8|Wr3H3PZD_uc8~t1o-svQg&b%t>;M z99C|amh0aoVm46K5Z&89Ky0~0sv7c+L2}!MLE_}tZ9ez>_n4T;)0@!v#BLv5v1X7g zhSF zSU31EY=c)W{V}sIeV&wABq;kaVtdFV;J6O1AS1>1LE^}Uo+6v3kSyOXy})Q`6st)^ z>-e?P(4qc}zl^wMJC0|YOr z)uL;DZ?2bKXQDca?Fh66;{5WnpJ0D?n3K~dsajP81a`)EvNyH&fm24-!n>MOEXVN6 zUbkZAGPn!hKh^7Q?Eg4)dNW=N!YB)c%U$tZ>`Cs~lG*5H;kqt2@;A7Wxr|fK;j892 zt{XVFUt&(r)9O#s@#xP({}Xq2aW{c?Jg+kH8mC|Ve>i1pJmpi^{n#hHLFEmQYvedN zb8^uaX+ccm!qmi~aL&<=9&Z-)&dXlG!F6$QnQ<+yh2s?4b|Z(=9BVs9I<)?E>-*Vt zT#W~rRBTCR#4rrrdh0D-eDOtIdg&$Je*0~@ySsVMd)~uu{^oD;U zXA)f$K@brn5kwI|^nM~r2%-Rz1cE@-u5o7W9C@< z+b*t%D%%|qzc0<#Ctu<1(hxyh!b*@2?)ga`-Tk*cdCX-PEsb(+?i{9Ll1%UCapQH+ zOT-0*6Uh)S>R(2%>U7FBQ7yra&f|!_D7zCo7OmkI%#)v5tB14Y$2#LP|H{0M(~S>wOwo<$HGT4gvWhUivW zh#NB;v$Hs{9xn*lK+|581%~Epn2v)Yi|k5A*xPZh6QUJ3g4mcNRvji(pCV=5rb~GR z0f#H%4(`N0MXJ}UTIL&hCdxA?ZWvLB&=KmQ#eer)MwJo7S{27pX^0ud3mN2lwv}7G z&8&Nanr4+s@fO`?fg?tPg6`vob|2=4A76Q1c}~$cxRSj|I5mh*+RM>UKkc)Z5ywwb zni=L*Glk?dh~}>_GoB_>T7F?_0XId|%Fu3%kT7R~QD78FP?=M^nNfQ=TN+~m7q`|< zSQPlFmQJ3LB5>iwPGO>dbCw`95yOdC5>Y2r$gm^Ez`k!O37(~q6g32t`_&L6KF-N&v zX7ZcgLF|3l<2nQ00Qw$evxjJPm`HU5(ayuINf2J7>hGW!9AL%@kr;8&ObNMTCr7$I zKu1Vg(lUpY$3T?tG8o4j>-kyG&qT%tImvicu5BeFlL9U)7=8NHzeY6MKIo5uR zd?UZuijN1{JTt%f8+V%=HfKJDtJ8}Lb&9C)(4J4Cbw9IGmUcn1FmnscDome+ne(2s zVru7_i9v7wcK-Hr4ljJ~yFB~Mb9D6$HVqe>LzwHipR+_6`0m(usX7LG1D*rCKK2F_ zCK>kyIP26fv;dMIaUgYoZSlLi7@I;cN$#B~H6Uo6P zcj3Qo7!}WnjaeIyvkOQ1(KS4`i?U}-NimF-V z!q_oiuXoiRWCVejXCA=bmO zt^tlz=MjS~8%n`CuEX`*b*^Qvt$AJ^?dn@Opxt%U+bZ+aZ+?qAx4%iPo+nb9r8hfD zPx}!RISKxjHLnM&#WWVK%kReA&%2FHCl${;^9*ml{Wksm{XF^Pll<(@{w#m|$A3&Z zz4cbsX7S1^uke}Ae1}HFC_= zW|3TnRzV^iOcT{|6glrbK@dO`s8}^7s#92kO-c~iAMW5;rH6`D#TFdCJoh{mJxhme z(joack?1EleU{?Omk}aqh;?D9K5m!pkTr5>f$%`8f@t;1aQ93{^mkv>+;B??&R7h`HO| z%{tiPRe0n5cPZl}0xGefiX;d`{4(*NiXv^U0%HZ!WP)k(cAaGDe;|vH6;cdJ^Q3Dp zP@gYxUGOpCO1OeZxT%xwlUAPOuIn(#b>vS5!bQ;6>>ozrRB8s(cKi^)U71Jg3KAVx~Dj+E&SM ztn)DfY^^FcTpZ@YoEMbJqQc&RAM&I^_3~06x^VogI%%W9P@~B1_)c~<45$@0Efu;P z%hf+tx6d8d;cE5@H}f}}9mL=wkJSO3_#o8tSQoy4UY}sd?V+#QAlWD`ODdYXtc1wM z4v>rPC0LszTDgr+&k(Fl60A+4RxQwH31|vNc>?p=H=(n`3q(7Qdg?06kAYbSr?xaq z-sJVWvY(rFh0BtSEpl|15Be1v1x&}JE!c)E$}56uf5^X**SlQHeExb{uIc)Lr*z8@W5)=8HCyqirkH z**bd$NVRs++0zWjQ`@|41NZY%G|k)PI~4Q+VKq!Hy`QUsLca@YpodfCQAV=fcQ)=% zaH9YHMBafC%_3wKT6cTfa&M1n#@i-NVJTry{Yx`4O;pV)r)Ex(Z3bc;!48hJdFQfj znq1CaW~gur%dsexM$rQ2xaF9rTA1SS0NoFJ1p!I*?&Y?5Pmis41x+bf@g7pJ6{Et*nUhPxD4{NnwjJHn z+{LI<<6I<+x$j2^7sfbP%9E~Sym^z;zYiBb?_CoIpIMy6+DJ^}uOc>`RJ{7?tEAKE z#i8scpL}xDG@|=OwOZxi!GrwtPyaL@{pj72sGs}X=lJ=b|9O7vw|qi#UmXl&~BFI*gBu5J(xn(XVA@yUK# zf@uU-rqo#C;yJEEwmwhMC;*^{D(PSwN>$|L>tjq+=aGHWghM)hM0OKOvKL`8*;P$xkpL!Q?_ z6c8i{1d*IkV7fMgAiC_;Wjb<0H0mW{em@6mHDZCJ=Z2~m!K@|-D}vEPTUvg)5mvlIK6c<$g@`i z{Mui{nKlaS6~|}`=!<4*^Jo8nOW_2C)*ZoDCsHlXephCjBO(;1pg7eG z5_fs(R_jRkF7Lnrq;={7!^^7W(Gb2z^mjf&}asq@hY^-OhwqrA2pC_b*i1}h$lO*)VpywgzJj&GMNluS`7u_f#ngaV= zg&jf+K^@ufZ@wZiSgy|2D6U8hHd1E;)^tC2YdPk|UuW{#6hSqB6z}EHZ6838)J285 zGo>-ADhOpCI~~}orVwYYcw!0n;eNg@!foDWKICcV&)>kxj`C-hu6e`g;ft{CS@0*w z8k0=cu3}>$A=ByKjjeStJ~dC>E;CxaK;0?Ru&WqO9j8e{s2t$Ghsj0(Sf@wYiMdj^1nFUBt( z|Cd~!o8jEd4Gy>O38goy)I%s8~REtFLo)S!r|7#Ydci0 z!h-VRM8&&TB!jJ-82qqzEQ*tG`$d>I<$d1U--F>7X^1|CF&Rqq&}iL8LW^^({WuXd zyrqKKMuoD?Vk}p^_meh>P0v(Rt5sfo^;KSa=_Ou#@kP#`KhKUGJ9zTRCl`~9mX>!X z69y0j;jT`_Lk~T~@#Dw&&ENb@z#H1??(XL2e(vY^rC<6b-gx5;KJ%H+@Z~Rm8GwKG z&;A)FPMqK;e&Q$Ad=FjM(eyG-QCR}ery+(9AjADh3$k8w%}>*;vfJn0wS*W zuQi8sERd=oG`~!a296&PupJjs$s$PJ?1YF+R7tPk^y9h&+$uqLj(}5IdPgBhMTk)n zqZI8LHFpMZ5k-fX7A6&pBO(&jqWB~qqGKWIb2znWgr>ZoPx2vZ2^wmGvg=3BjT0~n zD4{T7LIG6ux_SZx61cHG2)9$#ZK}FOP?HJ!?*BqrDdy0tMQV~wO{}9C6#_<`xDsBf zP-qd4))0u1HwsKQ=5TP4WQERfHxLpa7wBo0i&@B9WB{gm#`MNni z$z--jXKR9;?IG;RQ_Rhtrec;s6!42G>DK+IeUC!x9*||PE3%AwXHT5w*4y7=$DU(67mbYedwHEX;!pYx3zwmkHDhzV*f_e8CuXSEkzYEbc0mjeB7vTjho8 z^F(|Knk;a*J4SaRz`Q=nbmImN4zi%o<=;z8S-&-|Pn<&^J&mU4NhA^+8t9;BaCg&X zb`wfKj)idHPq9z_4!RIPQDoHaBe)Cgcu8AQ9$ zBPTib$S>k_9HVHKIXiorf>EMsl&M)Y6226&D6=!Z-7^wn<=_3=Ctu)P9*zz4@!a;6 zRWi%5xRkxPsFNN+;+PmBTAE)mPw@7f!f;Jx=k}c(-o1U}V_+MI`8$Z&n+T1<;=`^l z&h@D*uinaW^wH-yuy6mmOVk~mOCv8}&Rr&4%Mg`=bccITEvKw!S<5GpctpezYkRk;JPjuV}xma2*`KEf*-wU%+sa?3Us0cXzR8 z;eIR1km&am$AT%Zn^m4c$lUNm2NrJevJcBLIe+aA2jBmb$f>2GN7*QIYWCEkgl%_d z^P2q|;o|&7e)r1nF0Ol|=ka$ zT|jUhT9dmta{M3TPuwS^?E%0vO}_J;@9^IDzW3dosn`hDzK-<5zs78oQA8ED|M5k- z7yxPzx9d3Wz|)(%Uaf)I+AODMPt&j)h=}Y?cm{=AQj&7)rE_tWzl59I(JWLfopbNz zvDIyzvvX&es(Q?mlrP2cwtIMlHL?0w>`Lrf+pN*CVC+rA(bq7?&+-T30dQ>^N&tJu z2WaUyy28YEGssnR{^H6ky5-Q9@N={;PRzfx`KCh6;En4O{OQj<_m?}UT`re-?X}ky z=PNE;xWM-9+qr!C!P$K;$LgfQFbo2L0AKjR7gi)1pZe6NC=?2O^{ZdSvMhG*-pxxd zy|k%8?O*=oU*_Nb+kbo4K+W`S;lUk2ae%Ul$@j%t-rngi&#F0xZc za&$!3!fl>-j;K&{{M7IvXki3@Y*T-ewJ@(+WUV}kY!Z+mAOwgAVKhfavr5Re_xG`J zm=_JoqKqZ_P(?p6F@}V+&ga=WOjD=oYWO7(B%Okj$8jw}W`#DhL3AOI18hO1t|qBz ztvJg#)HSD0)u|B_gZP9Ef}!RRu-okJxC=wUf`IJSvCG3uQbm?bL{%j&hDZs1Tv4O0 z#%X8?98p0KTr{hQ&&r{=`r=xa?8lH)ri3apvWq48QAHmeN*9{sUwY4l_h0BTt$JLu z@}%=`qgWM8HOhGM5$am1Nf{JZ?Du+AuAB~U%?i{kfso>Iq(!G7-J#@q-HC`0p-=8d z6*j&o=X5wTYZEl)*(OY|KU5~zJY5YbNX6GlMQg*|K;gr0Wa!DhieH}tL8R>Kz-k)1 zNlpV0a9z(_4!{v)s#+Trtqs+#5^hY9t6bsND=F%tO~jT7ahQ^npyt+aT^G}}5D}0? z2?2?)5JC~|z8U8lc}~>NVk0soq^SARNSen(w}dh^br?tRiY=Pej?e1yZho$VY&TGx z8l{HAH6ww8K!^t2K^M&zxQ8sQhlo?8+nJ=zox^YB$QuG84l_avBmO;D+TEOZ-PNhO zRa_iEAdHWcs}pvL7>zpDj5wAn(I(}IMI{o^UPNK#-$Sw+_{=<-Rc66I1VkE21YM3& zuzj4%3Ro_*_+TL7F8-Z2i+a7v#f*dLKuWEkM0Gq33W1mqB_c)<5U{Yw*co&hSdNW} zfhK5(f=EaR6Rr!i6wgp~6>>@|hkCl$sTBz~rcmsqz}t{Rlzp94wKiNqLUMFMjcG!S zDf~v3bm26LQ>UV}Gt~AWa>4D)IT^;SaU2{ZBzomulF~b4A=tLfYsPC_x31&jqM-1I z_6U2_J)2*|b@7{7LX9Z`#**5WEvi(sG*vZ4pnQh0%Il=nJ_b#jiNvGigZD^i{}(`e z{v@&59SVVdX5uH%j6AL7%fzcg$c}d|yFkU4CKK92J}|f`>1x}xnXo6Av%Mt1C-@kU z2MCIrQ>I%Fid7-pm?EUlAh=%4;tC=)wS}^;16_%|qxCmJ!6|UZx`X9f2nck_owSSX z_e_v%*Jje5WVTr#*vhf!oBBF$%~Yw25&=b9K0!7YN883(yyKNo}$A zk!ir~Or4ki{f~eD2ep?Y7z~m~BuFF@#N%;fS?1ccYwu`hwt`G1gKgV)d1JJ-wQ>Er zXG$i^GXMEM|7V_l`e_`;;a~l$f3+cH>;L#a{ttfs=YM|j{|lXpq+KJXc(wARP-2%j zfg{T3;U4P!KLqmnhw;U0b4(T+p0N@(y8~s8q*cJc5Jjd1o4O=};3K4lY4Noou9_Wq zV<^k5Ik0UXxC*bDKa7yv*LL zdey20BOAvA%K+P;ZaNg}7D1tbUAHjJ0LB_a)b~Q!D3Z~$xUPdHtMtb@2?k==&HbnW zqGRCd(^QNp99KlfC54D4MbOnKB}d~{p^D|W#QX{!G2i0n*$V7N8KF3h>&leE8i9yH zQca*CMG!h_@Y} zHQI;Z3Se!{i)0bjZUm!(ONeCN1g6(~+Ul+i%S05OQf$hugDci3%+F$BBZx9xk#5>T z>1ExdRYD7^I!;f7b>2ER$|J{~p*>(Dmc~8PB^(5?0B#k+U0$^<5N~#&R#EaQhY+e6 zh_=%fYC|ZEA>@WYFM02Y)%5XjLH0LiiVO&KGV0&WD>q7%uG;t=k%}xLYXY*W5^_Wg z$0RJNNPieO`*Ac_W^LCaHp(js2>WnFZVXAfn^U~uwFxJH%=exg*_E>0tcebluS zx)Q@iAg|}JESm^XR8b}APc9})E>NAgfnn%`r5Ywa+7*%AaT9`Z+)&%yDngD4)p>-< ztT(#?fXRsN<6O=ptbyzg($?KcPkd{GlcTvBW_1dI8aY{IASuxi*XRrP5@=HXa*Z70 zm2px|l8RYDKp?0Fkp-EaNDnbJMsfN!#+@-bWQ%~N^H6J^?!H0X)cZkFo0a>~CDkOU z0*L{yd*+XO_kwF*LwIY5LQ$k8qLE1C8P+b~(|p9k1H>cU9BaJ~Bed0@xj4#aFMgKk z+B6X&Y>RH=A07NhYYJR!8b$>nbIYTZE&h#kkPc(r%AhzFZmgf~hd#PuZsq%pABau` z03TfYVaI~8w-85P^}a8_POgDGiPQBE3_JyawPU1wBhRVXQ?#0`w9?A9=r;By_io9T z>z=Sp$d7nkwnf=y6Z{qp(a-5~mpJ;&k0LK9?rjmvJCAK)nakPBR7!QWvx|rt=2+Wt zV(Pu6cCXD%^ZMjT6g9@aKnnwr0rsc%Z~j<}C)xSpe}HNhA(+H@@?q%OScz&aOcv^V z@$4kInn^0C@?%Fjx7<;kEY$g^RI61wJ3D#$ z>8JVZXFto+Pe1*DcI(06M}Fi-_>mv^kxe~U(=;?q!g+WbW_N)=mI(Huauh`0sBMwpr?QnC$PTx3!5s8GvQ2P6rU1P#SUsZs$1 z6wyL*B?1V@u1D(v5v)3>&Mm;n5J(9 zEy#5p3T~0QWPz^*zvIy6NcbHC>@vQ38PSwzHEkqWp<#y6Ee)TtbzZ1#>Qro~DrKZb zoeF){TRJ_ii5if$Wd_mNcCwoJoz zk%?d#E!b`tC(;6;4$twmmi4F#jiR?nnkS{{PvAy-A>4^Le}k-^qv(d|7ob)210wg+ zADyTvxy~c}U zgD7ANFy+)KxD9&DGCx+yA-fKuAfp8G=)Nd|q@&0_L{TQ8b)hM7C`~WxMv2s%BJ71Gs5t@p>O&p_q| zPHvPhj=YTNc2KV?xR!{hgDCCV^mhcjJkpdiG)$YMPvp5hy?p$@LyJzM{B0dLr~>9Ly1H11au#3`pDdX(iCKFAZM<7MGh?pt_gps!F+Rf73D8EsaOvR zY=7F@@}nNtf9ebv6{O)8;LeMl=)k~J-uDUbdU`!~ovYcaI5-5=;0h(A2fKR;r1yAR z(_@R=9jx34U%8m0TFNo;{C5%iAHPc+<6c-kQ`ebLNydxFasyCl4Ybi2>g2^-1K4<0 zcC<9X8g6M?lqNI+Ww=e(L9NFMSoRd(F$!wY6>c?yEg#aWk{s}U2c z#5DzckfZ<<(Uk}dHNHqISq~Zpjrl01<3m+oAn9jYyVnA&nKh;=lSqz996w2ak`{lf zmmrySsAZs@Csrv_DAmBU(cC&3Vc4P~5g*%SS|V*ewNVw_Q&OXmxNZ%HEJ> zVi2=3!_?ems`U(tSx2FPB!Hy*D3@YXl&za`mFfcJauU~3D2ojYD@%CA-zbXc`cbSJ zl3hn|8^9#4FoiAoF{J<%BgABRH?9jKHJ2-vg|x$5^QNE1{p6gFlu0oc~Y_d1O$^zH;TM` z`!=>~6Hz0y2h*!e%i;)57|kr;GxCUzf#sOg?II0a3a-GM;m4_MM-*!qs2KGce$7A> zL?mqdLJET{220ct7YE(VVp2f^{HTQM0ru2xQ9(sj3<|bRbV?+FKw66tm4QPNJqQb$}gA7Dh ziahkDf_&mcFSDg~+9Hn;57^CN*QVj(^o1oS_U?xO!E=Z&jCn);m0545BG|$eUl=>R z4ZUTMcEjL^5FpqnEh+LWlMdd+}5Av;URbh1&q6gK0i}=+g|uwk}q&AwWx&i<+&YhuiTNMp4fHG4#F1o4we=!0+_LD6@t_dn$2Xf!SY4#Cze`-v#r> zVdQlfeGQ5eFnh(@0tpJfFsIBSxljrc{d9)9INW*|P0}_!Onl#i#J&V{KMEbkur7TC z)10M16scatS1-U8owvv7^Xm5u!E?x2glsn zek`Kr;rmV|mZK{kc*oz_j_8AvuHE!q`7@vS3{OA(G&^=|%{BVnf~u+8;Q@_ZG{m*$%c=%!9S0FbDU;g_rb+$P?sRJ*= z>DM4W03ZAeYw*&zV!X3D3gtA^_D0>qR%}REhSU_cOXB4TPV^>FH^TS1o z-@9=}I*5rf$-*$M>mo=IiqUPTl7P?1BRLKHRuR8d#Fl(C)C7jIcK0GIS@fw5Oe`Xb zO>4b`P)IQ^3S_J*;G#+ks#eSRl4=0d9*B10pSyuS+rSo7e4>CPnDGa1HVQb=G-9NUzRU=E(V#B6sAyOc828aNaU2j_1yK|b1Wz#F zuIC6Ux}qW|5hSaQVpkCz3)!k6TQzEif`p7DdY!C>E#hPAZ3^80_dp20bZ}i4vAG`& z)4``~Z5`8ev0M=u5b6=6ToG3p!VRQ6<*Lp8y&RiTr9w`Ja>F7PSfeARhP=%&y@B9b z7Azg7I!8Hwn}Sgyu7fK3s2fFeEpeACxGPBByo?gZ&?gZaQ}|p5!LdoA60mjV91#-- zN2%ghLxlZ4!g7*;e0K}qa2gcNIYigOk3vw25t0*>gd+92f={j@Np&R4Bxw2R@TE|Y zz0ZKKwa>XEJM{5fmt;;AbTG-oc6Y5#7`(hhj;iEi@tA)Mb+!tGM?Av^P z%8H*hMWHe~&188J-IkEeFiFQHj)Yj6L?4;-hN>6#W!drTY;MfXQJr0u#M)Z3D6t?2 zalw1s7lA;EJYE4sbRBl-5}k#sxR#Dj5ZRgOCOkgkJzrA1b1;zfx~YrZn`N{+L7=ER z3{DlOnie5{m6$%sMK{B&K97P+-7J$<1E`9RkXB=RVh8@QJCuddyTldZqC`RzAR|%} zMNjZU*aPMaLUA1GSp;Do#Pgtq5RwBBIf_u7g~A=o(hXjje2rW+hkw{$XJik%`#*pr z$v8&Y69OmZL&;HmDX`02erjkHO5@B4+R1b8LU z&b-r2doG7x^5aa`5DVvl^O#DQQm~&=uy1iTX)WZdI`Y*of>|TkxsAsjew1|g;Jc?l z^n(V)2iu?Zw(Mk05Wg803N}&Qdo_l3|he?Cjvj4?Malso3S1%qNjgL!~Z~3Td=OHllX^ zuZMT!sQqrEQmHUBGz7rm!-x5`U;8zle)?$=i3B}8J$&wSpW{=X`V_zY+rQ0;6DRof zU;lOf?9cv;>({T}HEVG{Sj$m+U3~9X;neSVvXP5HlK@(nG8!|Az^z0#*%SXeQ8mob zwi8RHa0_ruud+0MYZ;#q@W=V{afMSEi(sH&6hD3?;K}}0 z<}q)-j9Dq5gklK&@A2G_w}|Otoi}f1X_z*CRp#M=1nJFGG|Z~EpY;Osr5dlz$XJem zC`qJSTZo1?P<~klb0wV{vt=B|MUg%C^w#j!F6MJ3ottxc97jMCVSB_}8fp_I&%s*@ zt>_T01)(~Rl^-Xki^N*H*w))k~{H7F)cT zW~*g}3L`jIo_dwh@))it;8y}X-S;d#(Y}q<=I)wPTJ~78TXeUH zZ1dmEnWUUi;C$vHHw(A9d}WsHT7X&EPjBiFJ4KUleasv96$D&SrV{F=6dIth#?b%N zToz~eMS8Ugnk;g-Cr)p=?Jk4K&EWgysQqrksL}ZL|H+qceg{X6u+P+(?fr2wJs;T8 zG9#G^-?=(V)UTo`B8Pfn^d`1G)IE}^aN+VLlEx%%ypNv2-CJH~EL-K}JC{Mp(H-jN zXCFJx(cZOZ#O{TOeC-`kj(*Vam*%Mb{l@9jr&r8rEDTY9>QkTM5B}f}_{1kZ!TkI@ z|K{KP8)jx^ICSU`-}=_K-f=>)x>K0n!evca)ES3Z}0%ilO2Dz%ugf8GBprO%o%VjX##oLkzTwQ#Xi^EK9jJd`b(1*k} zI@L7iGBW2z46@}R_LpC$>PDE+!VLIM@bu$Pdr65e;rT#RGgPO~GJ5AlYG#=Pu)S8K zyXQ&dRo%{p)!_8(X{M{*z-()*pX0m!HUU9i)RA9+V4Glh19pPqgQ>Sru6~t$6!MIr;(a6}8LfGdXfVlz(i!aX6ly)s z5r3L)HRc6Ai2<)_7f3XD`>T?l+^DxNffn3w$GQoT_nKwN(K4!B#C1@Mb#mnfalcGU zKv|i{*cNUzOL6WRw{kZzEDOPP>C{4W#(NM#?YQCqVk$=F>M1&Q96?O;#Z}+q>DGRhAJz#IQV24ITXW{^d%txz2t4O&+9U*L;Y}!28Lx5Ku4{NW6u;J z+3t0Y)~JZOxMb^D<{R_4fjEjkPG`MJwv@+`6f{Zkbl{c;<*rNBE>O0zxUP#~8wjo+ zMe}`_bbyr2%^L$t{p%%QyebHuOkny@Wwz)*x z)FPNb*|>vMDkG`^LTZ?fV8>FjB&i;?CDh(b3^Lw6EY9|*IFbsY;`wZ>m)vVn(4v&< zS*G(t*pBH*liD_kY6+ZiEJFa(kEJMB$Pj1)e=8WJW=jLa*Q=Y?B3?hDL52iU9 zJBpffY2@y#`x&M%SA%F$m}{6Kdq{<5*9PQ_aI#xGGj z_1k>WehLQ=fx7GCrn;LM{|+jF&8Sp3Ow8rU8X)5!;?N(^+0`EMZi;FM1QFe?Gg`e) z-SPtGkQ}2sv=dcqR$0tCwb4`b*Dn(ib$o)uiB^|`4?XP}GBq{-Z{=@sDRT+O(n(Zv z9K=U*xoS)x30jm%v&0!AgYF9<2@?BK`_}dxD9?Hwko?F}^~|Wj>}8zcmnm8j(Rd5u zwr61b`@O{GJ}Ug1!g6z^1(lShxzdfw45#MKQ1^w1M0;rsv~etX0Do!H<1R0+tOi@W zDpss_g^AFEFrfjMn$0kyOLWBicU`z_$L3Pz61NJsz%mFmN}OYm)R6_G>T5n`IWW@l^h->WWd!?_t=x;}y7fL~GBmTDpD3xMmQ zSY>=h0okf7KHm`)bR~wa##hM0HcIo%W^zbYomQXCwzkj`eQ%*^t$D+)hGQ^Qo}^~g z00^rQ(xEi6UR}4dW!ffF)k$h*4b!n`*bM@*C;J@NVzdU^kOYZJAxr+wSwy1*YJ|wZ z5yH`>>r}3hW3D!b<2p!!L^_mSlRNBn$1<3vNI+ATx?>Af>srPODi;zAn!%Z@dGiFW z>vhtyx4j_NABVojAkx96ItB|v|9Y82N0 zUL@OfG$W5{6mj$_BLxG|wK1e1dZhR6&$9*u93;DrV$~2GllexGc{758h$1#sJN-P%6J+obWR)P-XG>VNLoA@slL+6vj%|47nOR%9?hB$v$JIjAZINp;Wp53? zLQf)qk494%WJyjPNomp=gKJAA*Rt5TQS!P#bg_f^E>dHb8Otsy(=`*ArUKrI#AL-| ztGY$&B|r1m5lRz~=!NwD#n-NQ%?1e(g2;45XTD<68uinW2(Cz|R+!V?BS{*WFY%Rc zzsN`4|1^Cq_g78->(*g-Q21Y_Q}I_GAO2MW#XEfT=JP0?oH~x6fOZlbaIGZnz*9Jn z{|oO%ybiu|`YONr{4h1sA*nR@XFCf#)!P6vAgP=a48B>qPEZt31chgNpXKq6$M0I_ z?9~Xr{^vp3jY$qkqqO)NF!mOVy@eS`b2XCUX1E1pnYM5z$G3k3zwGxCgZb-_AHkWw z$=UIjxMNiy+(vZwkMhvq`-p1mBmxUAvt1{aItH+)=oBz&P!qha%M$GoJXGUEj&7U8txRd3*Y8iiQ^i4J3DQu;m~! zqBmffx#CW)WVz0Z;u)ufuW=EZ%^&yw@9H6WyduAOVZrq|M$C77`-I zwzxWfg>PQ_Girfx3_D0w3*dA;&Oq!CI1YmAB_py?AyOM9RGmPybX3Ph#iFjpsQ5e4 zn7CLJ*IjS4(KY2;rzl?Jymasmc`9 zrrBgz4bc(mKoQrj2FC&_2fJDpO(Ykq#)7z1d0!AEsO3C*n_l(K2_@hKSwCHN5(&xzj&0Gf z95jE>qeI$8^EI{RY)~HR#pXO+XvO#1F&Y@QgC7&MJb^V`#7VY!MTYg<=GQ>ET&7}6 zg#GHq9URBSUFKQz?p255kT1dQ*YE4qeqiCMpWEn(g0MzHw3Pe=U6(`Gt`ZV!VsigijH@ZSH8){bLMP5YI2^w3^ZS>)!#96LHvbR-&Z=Vhu>XUR>SB06bv zO!g7zdk<~45KbXHX;}`i25XIH7GU0_mxyooggTa97w`49MhPx`0l}zYOFqQnIGq1e=zpR)aM|(wA3%)t+;=ju99wNU z3xYt=u5xPT6gToW$mo;wMCJ)fB@|KS@z^zX5B9C?gzeZ+7)6-B4%LN0-!iB$d-w^y zd9fem_Upvk0)z%S(E_TM7~^0&24jsZ1$~yVARx#3*|z;d1QOd;9Q);+t=6#2xw&&p zR8$N*Nw%IP?n|P{8lhl2hgy$%LFlTkOm)6MrBovn3looMOqRyEG0Q z4fotVkF>as_gHAXuG6a5xR&X4{0bAe)m)Q*U&I#bWE2_M*0BYNsw3mnb*N2(JBcnu zXegc%o8WlsQp6m~U+-)b;!fvMVvr%1v zR4p&Okp!8D(uO9kOcrd(M@8$xCtN1x&S8iF%up{{Xd?=s_dCgMpqT|Uv&g(_P^pKo z1r13M35X6Y{`R}wcJBojOxvMhIs{aC%K@Y-NK~{o65=G9UBeQ?#L|Pbq+2)j`hrnl zwmOUBI+SuM>P!I~8Cine=@$AswpQIN)lDQppl;d(REgaS-LX|L9h2$G6oOeL1ca0z z>17G>X4hFl%==+f7uDGc)jZjPjHwGKij0QJqH>?4f?xHn{YK48M4Y9B1W9dDB?FY? z6t_%?kX<0%sG*f=)Ei^K7^WOTSK}CRc*E;&!>|zNui`ikzGw@*-91D?5AfdigACWj zwVG1k=G{q>?byiWGS>VY?i%sU4;%zxWe4dlzoTVcrH#5pD>_4~x>M^WL<`B-TC+@d zCr4IsYuDHfKlb0ypVr4arax_j*{kr%e}eJ1mYMnBQEPU75FY#I5LiE0zmmDamu`It zvo?pnUgA-;mB-?{kOk4J%B8k@)qdal7kkq-IX{1%skw`^O<$!mH%^-zKwYS4CI(^P zJzke#f#y>f!#w*xDCCD}Noijz!c ziu~F6Ir4@=DjMLUAACPugZsC= z1BCrP+Vv4ac7E|Cbuq-O+RL2UjV-FpE|H7idOxSLC9+e)v^rU;N|H!xFX@oB_&+SGjC6|Zp|mWM)u>mX%sFq*4UMZ+&T#8VxFVp}(X zE7S~b&6ZIl5k(T|O8ALxRxz)MQmuhFe-+iNp!oxICBwubQE$-RAM<8nR>5*DrYqBw z4UbkEkOOptJDHrBCR;3!jK=8i*c$a|aetZv>?^us%TP3m%v7eaT^m6VX$!QG@Fljq z&W3PIoZ0J~8OflFel!t$@%9aw16aD3P?)tP%9|ikaD3d#*|@ev(62EV6KN64D9b68 zf{d=l(bYK48lA&xrGl8hO;C1`M1l6Gk60|R1u=xbzOWsep|#%R2jb*e7=GCcpcbHpp!)<2KI3&P3S;k>&H`X&hI#Y(FY(BGf6P)sQ!Lk=(w*_hPefT!$-}D_qZeG_0T;xuW&HX z!GMYTSt&xq;D z*ZJJpX=beut?>|I_i>z950iyE%oT<~FXKa?UrP|hBi$UvTP2e51Uow(W^ey#(+ zX0T0zaL~_FJ6qVB-r9`Sm8lY3`#MRnj3!Gwxif{YJIX~&Y=0C*(m33DgzoUhGi{Uk zI)8S0d`m;73zWNsZqn@NE$)2pcTuY|*ntkZAO8tjJNnmEx?6Lm$#Iw~)cM-EYvk)X zt$`pvw7ZLzpxW#vt(qgUS9hblpZRiwQ^WIQCP&y6ci9y-3CMUf8a%NMH;@F$2d+c8 zUSz5~f#p~T2($!RN&1ry&evrf*sjfNb%ugo0Kg~v=?rz=CAs{-aKFlZw&h8sHx>Cx zr6O17P0F@JI22^hwm~AXq?d%$vfgu-(Us5^=C78z7p1z%wdo>mqeOx-y&((#0-Z}z zJUU?@>2*l{7sFqtq#|3-@xrYe7`8!34bd6uTIEx;Io$88)p9gUo7-~*{>lIRFMpF% zyjxgKf4X_|=DV9zEXTxIc`2N3SS(xS|{CSQ$37-`)Oz=6~Oesu67E5D4c z1H}oCwo#s1dRz(Mrgku1cDXTmmU*p?(vl`92RNQSLCUx4^OdGy_V+?IYqreZP>rL5ZA;w&HRRE_Hkk;GWQx2tc?v_ACmvKu_!2x6+exS}xkh5p z*Gvpn(s$OBHnc6s-|-TR>N2fyU({P8xot(2{>-g!aP#fopcIJVZ$HR$`#(iTcdnDKg-cUcczNVy>ViW?N>GSBNieb> zNsws|wbLGG=U&q-quCnYymgWWcj(XzKGfmxv9@kfO3({Bl7n7XDsXpo_kp7@hV{n( z?G0-u2RtfgbXCx9n~)nu$lUM(tOfWJ9tABi$YjalzrT8$3pYkNysMX=eq!LhR9=4n z^g(J^Yh>w-|1FMEzW2*PP&)it1j0biw$#oH~x?WKyEQdJJdYqUV zSwWAxm+bdiLJk{>Iyg4PMuF>@Yv^Vj!G*3s2i?I=1jp+ntyarhLDO@ak8PxK=eTzX zH~`*xZ&bW%^_GP~Tu%jT;v~hn2{Lw&lpmsrHt(7mNP0!FRiXrokhNyA;HieK=)5S- zq5#37jIkhi2}!V-ki5%D-VX}?x+E1vqsaBlb#Bcz&}0qQb?FRs64?xmd=&~cgW>rK znk*qpUT15o9n50QV0gaBFZ}8M?{AWdcN^cAPQ_Xk}1R*QVl+qYga6_RfPFpP-IKYwj#< zxswEI6FAizU(aH%GJnwsQcG9Mp_T0YK1~RM+2Flrtsc_gY4^Ec2c>HcOk9J zECqV5)0DFW1c~{I$sdmduw0Rp=Fr=jCJ?;)gm7`GSXqkZEM84cBCd82ki7SsFV{IW zlE-mfB0hz^ol%m(tyRS` z*C*eiZq?~e1^MK`M|n@*p(PIXVq$Q8(NhHQ=nJWxi;2NK_0p?ZFPO;QUR9;tDf~I8AGy6&IJi9S_kr@V*~N>eK?2?{elcBc%}}L1G{}z`>S->`m?6JcqqJ z<0W1BktL-VN%f9v%Z^1_gqa!UjcZtn+)Z~DTx8P428+o=cuI~p)cA;P}v-ZdMsPzrP0#}+B7Y`Za#hd2_6a;yzj>H zpe5AQ+>iIIIcxR6u$2zx0(B~XXGs-KQXnzNXxZiUH{Rfpr$0dVz{c0O^>BJL$C-&? zEOm&Eh>KL6XP+&xT?#JEOGUf9q-#|d_Xi0J-|H*azXYRiF8T!RPoJQ7;5l#qw=i$E z=5@h!y*an}8&osbxKkLWVK;C@nOMhh2DW_w`CU#-*Xtm!<%{%Av98M9R+FREj}@n| zE`EvZ$Q6?DIAU@Ks3C7{U&50aZ_>BidKrq7P@3}QlpNQ~b^M8@;DZE8$TNmqCM8a3 z7PnFI_S(jp(-yY3Cq zQbJ^7`^iQ35Ufq1Pz?ONoG2^x-9MfQnd;%X<7AY(gT&{(V+*p7=RK;5t@*3B&sS(oZMmhIw` zTy$NhG<6et+n{xq*ZwZgc(R-e=2WuJ3%-J_D-=Wu^)hvVWLXdqgT$~@Ps0Y6W*oz#k8N0vNa@*~Y6(Y$v}zxFk7 zEl3`Q$N#z4Pz2>gR zmUorbGnV~pfSOffvOJ0D7=S=msEci}?bOT~K_z(KGZnFb%D%4X{m&FN*VvW5|Cx@} z_?x8S2OR_NL4Nojap8^_}%AkBRK|L zLYAk+o9vx^19wiM5ZTFe@?lEh=EYPFK&%fU-CjUmodvy&D@Zu5L)Dg$1q0EwRwzc) z-8qWRO3TPs?zo?$J+Uo)9-l1Im>vuzen zr5eDf*QVaP!|NvGhMQIE0#E?)mKUI>c0#C?$MQ*}lLB@lL2Ed$u|ZET3Bkvp>p0|Y zdpD+f0c+$fzSs=RCcpl5#KEWT5ts$B-GfYJZ%{APQ5$JgQ6|zbiO*&janm@d9**rl zOiV3%H^1B+Z(F2J4Q@#`@j+mrx_NH?93#aMY{zCtd-b=y8q;cNc7 z7m$``xHJAHXJ<~Ll`1F`RgNC{2lRD3vf*;0)hW(Z?_j0|kRxeMXf0eRO;QjQb_YAz z+xajkTT5hnQ$ap?qL0~9dL=za5WFBT(&2SI7iX<1D`lHoc0#o0FSklBYhDu6w%4Ov zUj7P#HH{&MJo;m!xaFjx(y*zSI?;fFY<99O_{fsv^>UT80--YDU6a*i6v)IoSKj-6Vl87?90xG#39;-kRRXW3+1Z400d=Nq!5ubA31KJA+`5s&<@Ha`t8hD_RvJV1J z{!9G8z~~#$`zRdvI1GIcrp`j6fOzX$F!a24V;+3QlWtuDT?0FjKKP68h~Jw&@Dy{> zFH@VmLb!7;t$Ux^((7H<^z3Qq0AV zF_S!jBL_TsPNdD-j4D$3BC-fU!9*5C5EW!m#BnW(?k#FeBZ#09CNAzl5!S9k2B;Gd zEMyVGf>O7=WMGq(<77bMiSPuDAk*r1*rqASw$IC6>KPc%EYWCozTeY3pTF)U zN%>)K^T+9J*~!oDXk|8Eq^&iyIUcvHLhEjCE6*+lX13(>wDs>1m{rUQBgGMPy8+>L z+FMezBja5DG7U#yzdDIl9Hnt_3LgD2=r{_6J6>|sC@$-e^f!~Et*hJI6Ryih;Wh=c zLTjLvpc3Tm>9@I6xW#07lDIF1{?8GB+t@E@PWjf^v-a z5+LHP-|aJOgEO;dn5cNw%A_yJiM|trYB^f;8lmbuzF6OVcYN+Cv#SQ6;}E0|HmmeE z-?bodGFxG`V$gBFZnKdz@}B>Hd+!|{*LB|OzSBD}GZs_GDTT6mL)5e z?KrV)C-O;-oEt|c$+45`IDYQA$2swH94E2w@kz6DlDNonBsa;HM2YHR0eb^ch>ig; zgXz8O`^Opp1POu|6oRDI`#k$0(e~_FSlD}g>-)an??E07{S(8TN2#jcg|@9;?7$at z9sW4#jx6JmNvey=sVJV~T8u?dy+g=+`}@R#FYFPSoxs417=l_WGF3|yrC2C)?%J1a zot99YC6?f9n7wPAiooy@v1ql|=7Xd8v&g-{UXG6+C!=K0sda2C+eTecUd_o~BaUQ5 zluCNLARQyq^(s%F^aCpKyQ$q(aNsu)jquvQ+e9)x>RlG@U%QqMG~OnBk#07OMNr)) z{tg5E`C#ypxi+Q9xBj7-(o~I3l(zZ0#bI{NDAZ|m`K)!bIAW9Hypug580mRMWG9`C zu;+_np5Gu$8{%m+v$9DVy`G%ejK<+WJ6B2Xbw)55^iAF3aN*cvN`6@NV!~Qt`argq7$sU?iL)==W6(v;Jv@pd|5G7Aj6I&__q9R{PjdsmEb43dO0a9Z-LVa1x$4CxWCY%q8NzO+EaU zf#W?daPq)63EEu5>@^e>)!<9`h-G5b+G<(nT*r>`9oJ-0lJ)h_^XC6VH!wua`dw(- zerwL(ktgcmkmnGIYyvfE)|ISdt#j?nTwEp| zEB1Sul0ZJ`JxNx{7QSmgRYv3OoDl~Av7nt6VK7YhRP4QXFDHB_7>*7DP--fry}TXs zd}esL90dBwocZ|S#xX~U=MfeRvXTD($9Kcc5PI*sd~j{Vi`V+rGS;UCYdJI%>#Q<*vHZFqhyo}T9uYppn7 z0?}2t+QKZ93UO%k5R*xv!c%LjWqaB7%Swi(#<#r4Kvn7j3>=s}F3v^~z?L+L2c*C6 zvc}tt)+{n6i`WGhjjBiKKlyz^BS%o9CzFelD{`SKU5BH53p>i&X?8SU{bb9?eB+zR zWjN(MMOUB;0Gr-MdwKhu8vCotrHe#!iI`*6I}2VU4)~&IyM959A%;P#W@}vu^^I#6 zv|D~DtG;-c5<@ur9XS6hu$2L7XnH@iK6sf*+ER(7V;mkk%vfv;fO2#B(gNg*cde(M z1!@gA8c1u5{NjyYplqliV=h9CnvJfFv^ZKWH~hR3fdMiH{z(L3whGwx8wLMe5BuZ% z`{8p0V`(aEPJVqy^{OvgmxF@m?j?$R(*b@iBeFpCw}Z)vI-9~4>!Uc*i!MDQ!jLeO z5VAHBF;%1Fv+5~tAL8#q%rk^D zS{(J8_`vPAQteuSUaSSO>i2~Ou#@EY{JDb#_6JH%lt zhx+%CQR&6PudEenb}j0qh9_f;MUo5Jy+~%0bc}T{91%NWE~AU~igqkI3+Z&4T5TuE$Gxb zGTGdM-jl-C3yC|2ASJLDr<+PKw8_C$W!`eq+qyts&Ya+wq>lKIIic-B3>h2U} zG~V-&2$AV|oBw?@N+_$tUTnv{=9UHTf=4ow48%^5$|dkbt%TA=RHyvZtCF-@4YZ~e z>SIYvu^^bkd3nWa#8mC{C5tJ4!p}j^K|*=6u%_ZBHkWQLr~&($p;m*l0qv%Tc`Wu% z5bcBFI@ngfsFI@}Ywl;n-%k_66dQ8lKI88bf6G(KWLNN2xvrQJL%8L4r)6-_=)_L) zMPdk)wu-Fq5*Q2*a%AiXsay)JO3UWb%{1AYuKt7bVRk~@ZjnKl?9G>1PLdgTm*WHb z@dYQa_B3N(`yjiT9>l(Y`^hZqwP<(!_L8z}buJ5^+_gi0)$jlSb8$&TK~!$Za=kY^ zmkMv3dJeK4agR*Tl&b+iE)Y|Jy_!-7?VDXNgpotal#f6EcD^xgnAEk zwlERBi#k^W8w?ZE0ZCD$hoVRiNrRK1wP{vBaxs~(7fm`zl_`V4+d<~o0Ib<0HVUqV zO!W#d5E^D6)K6_uov4ghB>lc933oLWKLAVZ|bdn`uu)^90#o;+6YAeT1L)b&+o&UwteJ1g6v>b!=N%3$j zfT=PEOMHZq`c2$>`z=(L%)OYqwESa(YXhy0)`jngO;Nd398s?@<{NlND8-z9mUlfD z=+rAjb#{DJ_u_WlOE&1HcW`XMr}ssY)9%LgE(<&AofoM;H9@u}uRb*ocj4$b~d_jnDwM{Df&YL1oQRUMS2HyMfJSnhj$p7`#f`w zO9hxehE_dEk+*{){~0vdIE=mthu$J)sU_&zO3cvAME^;?H>o9~(&37ysKbl7c>dqN zqT~oEy+o7&05q8J1?w3}#Oc$<=+anO<7}nXZAG0v|zf^$MN#p1!iY z?DfhrEfODVZ(uA`iMz;v!;qNSEl-4m_s+->kpU?cq6F7H_FA~@_rTr(08WFGofSKm*8yFlo7rrNOrSdTV|FWwywIArchNT2;>j!u&Gz#HCaX*_gz^?|ji;XF7xA1*QM*%P3#aHI! z<@yYvgdUB<&IfL3qT0R*xC_Fgs3tlgIFQevcY|gSrKCv&{ugbO4f{)Y)?j07vX>^+ z5XE}L-}FT1f-?8l8@+*k{`C2u;!gyquvE}q(T?34cD0Ku2Fljly4MAJRo-Z z-})wGbwY6^?iV|52HO=Er*jdGr?JQSsWc`rOdKG6v=3Uh&XTFj?-X4c|@O^?EcM_}kMxi`Mfh$cl!ZKWcepfPPHq<3HaJeR(wM4D7OOR-5$ zER`jcxI|J`qZc>!;wmwg5sw(ZL{Jh0b&}X$eP3h5cPil3bMWvu*tJH~!(YT)J4}nAcOpVp z5c(%$loqQwdArw9;EtPC{w_(s2=FOB9lJQ${mVJ?Eo^!W+y6M#9m|2W3V=2+H zbLqHDi6Km!6Iqy;5BlE{LDK@w1}9<@9P}KV?)zHjT*tbS`TM?>jI|Wa+6UMX9Hi{r z0X8|;qbZsrLo8Wc?6qijesW;}zQzjGTcK);kgfH0LU4$(Xb+Es_o0NxQPgX&WZj_2 z`@Pt!#F2{4WYAL)m^dpATZITh?RC_-Ed2VeCdNY5VxvG46tCg$&&%IVh|JxT9J9%O zEkH=JPJD=P-i3ROeGMC3 z8<)5IL#>9|cJ%N2Ja_-<&+tV@X)LZoX>Ws?!keLn{c&^}HU3x%m&L$`cT~-@;H&{Q zK{9%g^LL10-w;3T%P<*?(r6mTp0-|Drc!SaY8>TTX6xnyX!In~SrUODib;cNO8nMj z7e_WVgS!<@gs2 z_wY8I@k%f^v!}I`9d%b)Fx3MOh(&$xepJI9kO|N<`6?5+QgVP!NipvA;Z4m^0;4EI zvXcbUW8@SCjoOYwS4mD&gqJ9a*T|l5n669-<9dZRyL|-XSwI79K$otiDAG$&v=4R8 z4_!l`+E3I}LD1Sn+)#!unwlpgwQw%Z1RehQtCW_FVbp^LEmfv@458A_i}BVy~sB?Y9a094K2pd~L-6Bnzj|0AHn=t<-h; zSxo5=Sc@Pw0>^(K`VcS9;_A&%u~}r%FA7KqkBUQQ0@oVKH73dlgHle$QUew@RL1j8 z>|J8skDeBXt$fZ!@k(su)Vmf|>Z<=L6?C?LC7=t)aXmjykKOvBb$ow$xE+E<8Ih z9EcN5r09v9LvI>mTU`m&#SV75+bJ>f7kkMqyUEerpPLIARJ@mHxDD+?e+}d3!~@S{7dz&uD2$&HM^Tl?I$R-Iu5(#< z^p-V@g=%rz^f=U_DNqRx;u$@{X!i&XjSjP;j@C85hTE~k`r!Gfy#?pJ|1Zw*bHZe< z_LfDRrp{&Ib=y+9njFE|sY)StDx8 z)#^)h^SdB0g34e4qaBq-FTUsE--Fr+j#{u+i-lQu3=)1w2E?H?pvgEeYjWtd2~=bV zr&W{~!EGt0(o(tL9nsR{ASQi^YTY0vwFl=|1g&ew{EfFI^-%ID*!nRTcn8Ou-@>Mj z6IWSrsbgrf0V1l|fnP>RGnpPDnTvu7%o;0BeH9wjOfz12dI*h@38=@%Ei!tfN5*x-68z!x@5lxrliifB)B#1;^1mf03>3av` zDZ+^uim?k%I*BE1#bt6+Yu=1Ov#^_bCNz#I}`ZggGx93#6JrFl;*r}>)WDXqEz?r5*NiLl0!eNX3|45oQ_REh)1cOio~GcS zIP}(wj2_LG2PD&~a4|An`)5?)Y!yNrWx5~E0qmTexmN79>cHc4Nwk4QQUs8Hn^80={vp3abTS$H9rz+oOK_*y)XNsjs7BAgCUZ#GkFtLFm^ zy9)YSR&BRbr0FZ~$!6 zJ_gk@J}N_zA&!n8C7ny7QJL6Wx|xQe%NLSI`^xzKFJH$QyFj@<#s{jR)R~Tn%*?cW z?bOY*4!CXF3q&>93%N9{6K9AjJ~DAARwl74m8dBEcOK79lCzv3nT%jpTe!D*2al|8 zFQ`{&*k8i)8i@G2aH_^}szL>q(cG|T4d7lcj<6?RN+e1uGGm?m_+)@kD8%sdzd~JK zxV&xe+~7g2f{39-B zYn&f^gHuY3oYjq?X)kS!_uSY9Z<4uD6#4_b3}glviH=;ZXn3u#*TVMSnkk_&7U!js z^9GnBM@0tRp3k7$D#RQ%SfOe=RBRPJ7pHy(nWVT6&1pob5{q4vLzM4M^&MtYVoebm zBAl|5iYpWw)Wl*CO4t?^RD=_0l9?Q4Ekx%kQN9FU+{-|Ckerf5tZ_jPN(AF^(nP5!vf)y%$F1K`P(Tq%g?RD8uZUyDV(z))cE&#>|3WFCsKW0$g0nRZvRrURLZ8H?z7m}7iXP*5|CNY6q4i=)|BHU!Bg2w z%RlhV-a_mQW+~oI&X5sp-rzM&|EMEROI2LHME?fpb2#oeyv7aum%MTIYjFaFgC#6?d&kh__PV+ejp8Ma@4CTukBGk( z^jR$`6j-tj$6ipD5>TWk2h8Y2x0dfVA zC@JLg7pST$9*yQlDyS>>3Xb2RmdZ;x-~ju%rx&5J$S^^b{|XK3eYLh1>jmU_2#-60 z{Ld%G@`YId1F0ULo9+qsCt`sE$@gV5k}NDj64pUR!H91_<%a&jO??$7{CS3iRK4Qy zWjA06=UrmydZ@Mv+>k1~^I3*_XcR$(%xdB|wb!T&Bqmh^t)h?7ZqR|Jx?@~YfJzgeaGn8u8)hIN||mms+{f9nn9SHcT44ASo=FQtVFu)n<|pL==` z0Di5NKx=5+ssa6(=w4 zuW8X4IqhmjmH!U%bJKHvYJq_^JkgdGz^E|`)K04yICoTB1Fe&I9*?Y(qG()l0ny&! zBR7i=w1~2);!B-B+NDQ$b0Zd+R|YIq)6v^_v^%Pf83rqu%#Is7018nMbbl3l{8}5# z>J9KmNY15K?=+htnGIk(GO{YgzDubgqIKb>&Uz|m?o1CMnEAIU%T7|dM>Lz;qR#H> z;42%G(J?H=cr+Fq``ya`XO5n59~1e%XeoqYb+eu#vsR}!xw!0{UF9VYf|$4_$bd0w zCSWb%k`uWRFd14h6`I}XnxA`7WUsID{y_!EHdQ&7x+*;{JS(r~>`6wq{SjUk@SjVs z7pXY1li1yzh8t@{bQo4g+1#ETOvA&#BBjj_fZ(jg_EuHduxxmaXJHKE6CQDdZs#8<^v)>hFOYLL=!bj(ST`21*yd(~CR zX}Ty6$_ABG$>nv8+Dkhe&aIGF<-f$m^>c;*9Q#>sgMf~XuRBmGrX_QiW8_&L6NRSL%yw=|w+CU~)>nuklz= zGYbZk=dC_}Q1{vf?VsyycHMGnaMX`kI8ob;3#83N5R+a}x*TJ@LRLxJqS6=kjblmO z-q&&{S4=OZrLQNr?uWk;^B{JhJN{6$2(IpF(fy9=vKvRSJEd@nRQ|f&Wya_H53`cM z95gh5=7WYQ3!Z$5ESF>Xqd}pjJD%=Cf3BLHnf=3phn(!+eWX?)(y};c=dZmmzX|(+ zts%H?O#Y$fp!@m9x1!3d~7&PYrF6MyAFm>Y3(0gT#LA{Zs206NqD)A`aaKPkb|0bhNK5CMI zMO^mHg1>r8rC#<*_(B28IX7h0<~XaW4A%hykRQ#;hO%o#K5a@Tn(|9jjA!7@6ZWZr zaI73SWXqjX531+M4w-fw*iZ2|{6mXnL0ls5$fZIaa7{k-=ROOFI(lT4ALY;Zg+g(i~DgUk~tsbxw_0La#>!WD`*vwrfx`f;=$#i*38>XVZPx?=DJpI63hLM ztaGbJVZE|jc@$OGYcw;`+uz8{r`}3z`J7iM_cuHy#C)<2m2rVLOm4s^B-h$1;s;zb zSt#yPZb@PX5^akrk*bvimrGvs65~txa;MlFO3fuvtHqD_h$EQ@{-zYLvL4sq(Rj`) zGlP>jrLfQncJzWPACSx8cd1X^^!?mE_~hS0i?LM%3x5X8YKkzJXv~g*lnE=U){Jm! zYhf*VM2n)ed|2+srkO>MX*Pfu-Tn~Cscn?@JO2-JBTK}Z_{8!dxI|8)-D(&Ek* z9XUSCFQ4#d2EjEm`_!&7;Z%WX09`;Q_+;`-9)nB!$H!@-lM-R_B(yVb4izM|p3i;d zuI^NF!OAU>@J^N?4R{S~tG}+P;}3j5N%D#ARJ=fIJML0&FguzA;JtV?ZpeRD#`EaiCVJV#h6-LYRYziAl!4H*_S<~Wvj&Cj-!5mrCqq$GI z7-_^E6Bu8Tn_rR;Jwr3mWt{ZjmUmndh!4y}hgz_$VN+V2bIuSRTfT{TGHJgd0a6fn z*Q6rgam+Us$R%snfNRjs!Kl3#!6r%s}0TGwLxMlrVgjD3GTNmi}@j;7&Mq}6GK0DM8mf`W) zwl?g@G1$68)&AXjjp*cT2ypKp3-o=3m&&7pg+ft0^nqvQ#mSAneg6{%>)Jbw=@H9f z0mH`ZY)wG%Orfn!G-#-=-dL)Db&{F*J&M=0@;qNZW*S_N+Dm5T2sOFA_z;S!6tl7L|zpXoNOlPiOi$6$+OWP`PuTNEpnHYk00wkg1B8!z_ zUrLMWUe8}S-ECNE`?*Q3JAt)c-ZLkw$cJ`Nf5No!!i9mZVqcM8Q;krx!li&&4z>0( zh`|Ai#=+tj7#>zw4Qh!iJ-UN=`#|W`E7mRaP&+)%FI}6W4gXJ;koc-zA_Hc|D%9c+ zy<|&auQS8zqe`aLZ#{wfu?qPAOSv?sv?!@GPvpY!kXEnL#zrul`eBI22~A1d?F!s0 z_%SFF*YXZ|n*C1hxG|*1MpR~h2S0Icd0*(s{kq#d4g!y|8pBUM6b%c&Yx2G2pY!0vy0jggiZub`l;2b$0PeJ};Y0larA;@pp6Q4%T?@ zTjbvulKgak!eg1gwafQ&`cdxB0on^eZbH-Zt;$YI$J1mzIiQ5$b#lb0sLq9!&Ax(U zq8Kae8jpNd?1r!rOSTRtGd0I!3ysG$nqZkGrAM(x+nhRGjT#D5C+E5Hq3i0P`qWO@ zP`fu}*IqcL^*pR{EBbOFKOwpy@9IWRtBc^Mgp5e9_>9ODvu%R$x$^domwy(x4lPg( z{Z1`YY}?z>-=RR>iwaR|E+(b}mjd<~y6!r~fFG+`BFDbG)Dd&CBF+>)f0ZdmT)VW) zw8tAn*--zkG7Ewd0k}qc#Ltw>S2o*HZwVLqxi8)ZH41iY+7e|@-~D3Ag=Gx9{T4}^ zSy5h|OCJhm9GhI5v!ilYXhXd^S}u(s%Lxun67IHiQUcIu?+))cu_sB|{SVW5OlDER z;hpp_UePP#JsgM8^~^cs4Vd*{Ku=oG1Pi%c_!G{>ssA|2D8~7YXf}YR$;QoQ&2FQk z)8TRrEv7Z4b_)08jJf5!{W{L)3W8f;nR z5`Ncr!33j+$nc?~f1o*JYV553yP?Pznxf|Ht|Lo+iY^(gAR|e8@|0Pd3#;=tH=D52 zutZM_u7!NyjKObh%6AfbKjqCbVXO?=UaZ_Om5hJgH{vWTGXn#hTv$&^s_Vj97l3BY ztvK@IzWp92hPaw4W(|(Y=`D9PgADrsPRbt2aVne#YyLl5e<~VOXHsu+jL)w{ZIH7< zR|9_oW>1EWoatpsg`qI+i2(mJnMG7;dbh!zN=*7!V?P^_~CfA7Aq>w#pmwnwWLzZ4so6M4#ZLt zT>+1#E}b7|QP?ZN^@8SuR<4^1dYoU#$uCV;-~M_CpF zt=}vk(xTIi8>`bfjy{2Jh@kMa-Ie*u^$T6)h92t<=cEZO1874}Uo^N;ry9Ft9p=8|j;1{R)^F$DG}Lo&HytZ;J>DR7>L>QT(*tY&1yDnvlSjxlR@tJ^ z`Xuv0Vye1z=i2e)C3|=uDjHOPV6XO5^t9cK)-^6y3;*|uFjRtj4uX|Fxo|L9a)$^^ z+01W0H!rX#9bg{*6-I|8sjkIDS?lK&{(m)YsY|qMB zJg830CNR=Yu^00FqkQHgx;h{|8hm3|=s|2JYz2B)w_Wq6DGk$&Ta?L9W0+TQL1~?k z#x%}4b!>NHvk}>(fI}?IH0sk)P37WKN%22m4nN}wy47V$On%Y(Ki{D7v=?77(GIE zl@pZ`G~INL@XCXh>`=I*IDDL*HWhN;jLBKp2|C3B33YH{gp$?uSQr3%KVzebI;b=^ zMNJyU=w{un37Q z1+Mk9r3|$y2!8yfUA^()cS_00Xs(DpG4R|Q8CRVW<6!Mk9FO*hps+#i+X23LOr3No zjd{sOGvUBD6qF{nLP5j22^>f@ys(!~FJ-hD&TnWuXtN}JRP)}d(Wv;HK8Vw`=+vuL zqh-KYi1hl>eci;!9!|oh5{Jf1&2Zpl8)w*bFP^a}e7##ma$=%s3~$=IH8&QR4&7Ch z(f#%hK&tC`3t+WpGojxZ6ru0y^+p_bL3xb)j0uET?2C&obX+hl=~_dW5w{)L*UJ1@ zB?ENeyV#|SfmF1+oc-=EKH^LlyePagL|4YK>ibBXsg6UjEnaH*;QK65z&@TylJP(U zNn;!yA?8GQTC%*{S5E~y>+DcBxDo{mw@Y1fd;aZ5lyb-Ys5041&#>rOSGRBea$XGsNCE3betZp~5CbgU#PcE=SevoVZ7ifkVM8q)T0N zn=Pfe|FU*8*32ag!M5M=um$LYMXWb~*OE0kue@5j=5hg!Fb=*!$}U<1N6`(g(L`?i zL$h&xK$pJ9I2M%#MNmxM=kHnHW7hY{zV}IMgGf_urvGN!#YuBtrRBVN)|WG68nt`R z-o`64vUxB}3>z8ToDU583IZZM6xNy7`kOYzg)cKb!0_JGg^4$tFTr_B3$~@@z91Ec z2xzO#K2NWqS6|K_Tna28QY%D}W;kP4tJ=KaSh=vSV4@i_#`;s|!dZ7Re1E_CmGrXy z(NK+i-Llm9F9>+VF8w($qTbyp*HP#v^w%A9lDO;QG2jgV=?=7mKu;NxS_ zIX3EwxJF3LIc*Mk{ z+v#pc5-QZm#ugjge-J&v%3qLf>4#xQqe)uM=xOj{+~9v;7eMei3O}1mnu`fBP(PDD z$F{r+&dw=2TAt4Hc%q(uvPCz#;=8p2V1j^Y9bjFEmMD}^gChWatem`{{`LVo*sBz| z)uOtDP9^tCjAtT3#KD>2ptPkSu(cD2lZ){0;6XN)HT74BI;D5lxviV!60W?b0+@!< zR|d4h=H$;=kUEi~^{sK9K@_7D9Iz;Wf+t>TtVDCbk7Of26$E|l)qoun9c6L@mRybU zJX-m;5So+=tjwPx7cgRsQcSn64;v3FXDAb`Xt!X5O-Sb6DzFpZH|1v!R|58hyUP+s zFK@uc;3P1AL)9~Hq`XcB!U1$>%Ii~$j6d%h8p^{I&4Z1T5cNtUDJHK5o64TFmG01= zV4PBAoz0ufE0@-lGqEhJ+V{<;U&rlxUqFIUGCqR}wa#QKgQo95UV5>>=B%gYY=1~i zh~5`pH)T-dbKlp;YPd2ERruU@u z;jT3UT}^OmGK=O3lC#iTIVgzd8D(LHOa^Uj8a3$T>C9Mp4X+UP|AXjmC?2{=2yOl9 z238aVhY0RD1LU(1B6G{8LfX9E*0@Ze23Qd3*MqQFB5boiAnII9ANVq4QB3AxGLBgW zd&!twm-F(BskQR66V1q+awANM0>e`kH--FoghI5V{D)ya;z5W0!?kS znoKmf;tCJ3WkzmHCzNy?Mlo^BY{=v(k`G>nyBuHij8l2u=>%GX_=B2yy-PC4@yh6ocNN9QiHqO0L&uR(U*P_lJL1rkCMHV?T+Y7k>p zpG=yP4VSgnw6^6VoQ$5Ui~?XYJVZ>B}@>@l8Ic=HMA)4fF*bJRuu2BNu`W$QSHr}zSf`pOa@NBBMVAarG{U|@W=V&$ z`piD}k{;PTEM9Y)EQQ-9$O%_qLMJ3aUrdtWVKR*xrjzJkm~jw2zKAwN)YXDsfPp;whl}YU%x5u`NM+M< zLyhg9jA!m1@}2Z8a`5my(!q>B`fzS-KQPKG7Aoe#xm?X1*;%zW1_d`o z*AX;=hmey^+oG7Pa1F5R_I;5Ml}x>7#*Mjyqik(lI^@^qkQgOaGcgAq`2|U zB)xDVV-1hg{>CLb`> z`OCw_i)_~$L;gFseP4!%dM_^o-uIBa&MV4Zp4$4RYxTNbMmT#1dY-psEG#I^%#2Um zE>>zxSu!U5pMY2f#f^77m4PXA0%_v^G;Cf7xJld{bZZ8&_9=FiJ@!~6NU2wei;@Vd zfoisP8!<8^(|B-?0Bab0gnc8!4rfEAOU6B%B7jQ*wp^xD^%L=7VF>#>1Lb7?XpiMi z3?D?nx6iXf0Vf{Epl}{x5)C;MCljG>Kxe(l?348KD(c!?JsScXG`N%m6O#TLw}?wI zsiyMz+I4bwAR814lX+58mO$AAU2VPO;s&i(wHD;9klzpOGJTA4{TgqtnA2X}P^ zov;UZD5daHipA?ot#+$Mt*yAU68a4EjLU{kY>YeslpMF+6~UphdoITew#QayQKWSh zuJ2Z1F(n3+?|ywU>=&}n79CLrXbbCk=SEv+A8fN$PgcxT%B*X5rgRp*Mfq0}wi~eB zJ#`NbkEd}lD+Q}dDdO`*S*!s)+v|ZW{qc;EoS7tLzo}D?)0HMYxzze`CdSGBykZ9c z095{w4VYG10Y0qBHH@d)vG6aiZ&4?(BdDs_sJ^y#(FiLrOvH#FD?wXqDD8Gp=m&W* z;!8#}`CJ9U_eKaVMG#Di-mL}3luBT-v-?Ytm6Xw%*3c;6%+J2_^(C9i=k7VeL^{*8 z@;k?l3bW(o&P}c_qy>k(#k1EFlGZ%W3dRGWVQsW3j=TwX>l&C?0vxvTYli|fwI0e( zP%V-n=!n8Ro!l91eWCjUD*KZV&=F?&<7T@a=WUDX{%%soGG|EoyAK5dCb|}6@mta% zevsZZ=CDiAhmh7#x3ca|mNyuvG#J)4+-=L-10Rpi2QfY;7)kBT8s%$DUCGybb}8?# zEP8L1&=}7<0Ro`U7e?RbV_iTFWv*wCLcrT1nD4(oJI7dkFOXmFvtLtKy*H3xpcj@~ z=~feEDWoWp7Ky@y3%O}>0*B4cW1pfKzdTXEj~1|>mbr`!8|CT>Mt zdasUNJc*1$V~|Q2Hj2oaf!>(MzJlAj{40F4A!c>wliK6b7sg_m!Fe5BRv*~}`FVE9 zE>mV0d+K(shHmBlwDre`h}1-6CRJmWqy*(K_q!i*F7jyqH%E@bm{>@Xqr;n&2 z3NBO)PRT3bPxtu9{5$uET~d_5y`p`pTFm>Ba&LF;f)emnUv#xKfH5uB2abwdr-mUJ z%OHq?Aan7mSWApyW9Mj?-=3V^_RT@sZUxvKEmLW5&z7iSUc5@`nE7wxmea84-r|E= zdl8ec8;Wi))pXi5{Z>6XGC5s;!ru#SRJAS0gcv5cQ$BgY{3L%=7U)LC3~5ibG2e18 zF|or5jmUVwVJg-Lt_U<;Q#)qus(#nx;xoA&d4@Uz-CAdO7BG#s4_(TV6s#z zU$S1v*o=;w0mo5GxeZVyGEFN*E20@n9i!^>_=KWkaAxl+xShdyEb>~@vN(ym(i3^s z3^s2|d2B&U9^<0fdG&=IZ|8!#f2Pu?QY`KapD^Z^!(iqEl$E=r>@i_At#@dZe^J2& z{CY+6|9o8%Sj@UKvvH-pkY16KNo07%(NLw0Z8z8qp!E599(LMA65g_!P`x>xaZ4&1 z^s!`0N@YzdH;xiLG>bweF{Uh`-gKj!BS3koWhl6>*1dQMVbSGyIzGr zg=(eNkwS&)kEZo0)>%H*Dzfw2Q6frYn46@$chiBB?Y;nko%dtT6SaW1sJ<7t-n*1K z-KW=UziXfLX--g2;sfu;6HLz?M9v*b<3LhezC@-b&SFh!q=Mn(XB6Y9VmfFds-mT; z&WU(1QMD9pF^V$-v^povDRseFJH6BrskAh)I|rtR|>*1?lD zlK23+TI5fTlnUf6VWM!Tqp~I!l-K4c&q||Cgq%)4B&rX`td=%1Clip=4mXt3*|ORW z73k{%PFuvYVvJ;>4dp!NEP}8XztP<);ots3#|TDP)}`vgtF!Bgzfp5eSNT;Pfg*c` z(-#@NAvmllHLNM5uBRC%r#{XSPtc!*0q4~;AzRdnlH~oWtA`cDd0|G(Dws-Vy|iR) zL%odN%QSbGsEJmzhDvJb%!>5bJ_Gs-QnCi%E>w{8p@IzkAyben(oh&QmCb6&Rg+kU z>wDqZWnM3%r>siK+He*$gg^&7>KEL%!J8<5_6B%O*Be2**f;PhCD1qTzcW3d&e`;T znFx$%mq53W1QljWi_Gbc2D?F^sO+tygP@BL_OpRZY@xImg#i7{qRMa_X{jPdIwsSY8EFn-I;W!Jl%;J<6!pesKAlOl{&t^e*4kvmZMWx@g-J+O4yL2? z;zhf)V^SR^s-OpTfC-UH(q)vAy9VB7!zKL$0%ED$yfLV2QtBHL%LihdF$!XZ!;cGf z$8^)x2WeHhG?Um(6uj$)p}Zz7glkO0aVOH7n`H(1FvNZq2j8B&{|>@MAU{W?J72%% z&J4XrbJBmC7`69*q^w(&;m891&DAU2ckkl%xY`Vwb$QIj+W{RJV!7Vu6=!iG1<35|?3e3J64Dd3U?3w|n!a}glJ73Ws{RvO7PtWt&5jq# zwtg-*hGZLU_gS$XnP?OZ<8g5-qUB5F+ z3QH{XLGuF5lEEgg6K)RtcPP)##}lvJSm<&+GtMQkgh}CigG=w+H>4%Kt$c8i8Igzr zq>@6^$f)7#S$$eeU_^X6ZEtSW=IoH-B{FY+>s?jkPmp+u7)Mabry|dN)V!hdpI(~E zcOt!mRoW#M^M5dU{)U2(ko87YPq7=FN~n4=4sJFH>Y%VF^*B?Ja*I ziudSGOv^28$gG`hcNmsn4M3POULIcJ%{E;5A-Px#*+q3?{(eSyDQkkTYl-R_o&GiI z5ZN0DS64*niC3s!DFsGgh)tp4lcmV0BbxD(DM_t!EP*Hc(NQ`jpUtBG%%yRp7pg~G zK}Q5nN4kyfwE0Xo6Ag_rJnW$PyADiTNJYe|qORUl>4+TMuUX@9kYk0=KPe&s&~8j& zOGCgrwM<4?1!FOYzPu^zawHEjwU!&Bsc0aCe(y+RriT!T0ys?;bvn(45Rexhx?(X#rJ8k7S4|;FkMvCoj19$+ zBiyHO-XD06C_8f3LqSm)$@oP8<8ghToxvvq5rfSx-kN4NYL^S^>9SSld>CSY!m4hx zDy(G(8CjI8${`le9_PvffJFnokyzWgxje87&R(o-cw zjIx`5LOh^~93w7b;zSBs-~4H4t(GTk>z0}+#x)@DucxavJ!H$s;t=9 zB!h}3B{PRSiikh?$_!;JHbP9pRCa7o z&dUNDPJyx1#VR(gF2BoBDTJ$ZNt|LPDFc7^EXiWncyYc*aEKdvjv+dXgb+Me2wr5! z)MZH3gFt+>74Nxr)LeGGmK9xWulwu0`7KJx#5BwY8e`?+-a9RX-6y2k)=*JWXXPqL zR(k4Bgzv|bDI+`)gv3^~^AgY)1^~VL&KPp8GAmPm4_h8Uw6+Csbbn~N42V`Hzid7t)^DMDv%&`9A%f6RTQzI^p}?bok{zpCx-vy~Tf$LA8CRsv017ZPWb z@M3O;2#MBR;k%)>r{sU1P53cJCYrF#PkT0EK|=OSh~}8FT00P>ezT0Opjr;BR8MnGVJM&qZxywn`8P23iiVWPQd{HFD4DRt1Xen|2Hlw`YE zS3�ls0y~!0L-}#<1+)Vm{kGmAA z17j*t!G`A)KbSwEERCEq_Kej%Ta^UCFP(_R|1{PCu7#BzU^`st+gd=tp_fH3D7<~ zee~Yg*jQ_G*l|@5V@NaE>Gk{XsW6>})gCsLpB>{`6demVUbE)X1m+EbdDh|bVgoM9 z_$rCHKz5DP^X_o3>7-P=9vqrh!B=yx50_mqu8WYwxgac28l@*QXJpu7?BdwRP9bHS zkl_%IpRUs1H4v@==TDF^11-d>wl;KiJT5}M+vk{-Jmfa{Pnb%|3(u`E>5ERxvq?ssQcl7tKW!L<>R2&qgPY*L zqkcp5L`0t8q~XBeZ0K;kcU`d}pXaIcw2dh>RI8T3c^YNLpWlxwb<{#=kE-p_n5r~v zgwr^4LxSB&+19wnSr%&G;{Ozx5C6OU-R2t0#R-u?&k(m+ytU3NT-t^_qgG=+#}6Tg zJdZu&*KL)h62aRS1zRdBt)P8Fh3FnY?jqI}_htmanM2>60+6@0Knur-L_RdU z6W`__s2U_0E&N6_)`69Ai{J~ZMLkGf3`R=Oxch%hI+JD5ldUk1Y0p2>W&)z%=-Q&7 zd+K!P4hM@!`muTWlX~ip$uki+m{(2o=Q1O@R-G*ylN!3c(s}s?W-@u1E7E%FwW(bG zp6cIMFS6Kb_8;Yvt!{4lwMP;0r?lL-iR|Dxo{u{I`+~H~%V^>1*#KA3 z*%&sdxfb?y-TtSmke`JH8mf6%&sA*MGX9Zou{-_;nso8m(H-2ZCv6@nnlysglsvg zWkIy|oCEi=hHD7T*fz-sn}?219{=(6m2$+L2H-pB6QoJOaeaY42--|xNJQqdx%`Vn z3hdGXpDzc#&s{r5MMNJ|XlQ8fuX$hGgmGatI&F882A_A0$A6DR&1uLcBenUPEGJjB zL1N%py62jwe0a5(Rn?erx$1u>RSaQfYGh5za$}F}KX!T?tyFmVA>3cyb&;SnmQ6Ez zUAJlDw1yK5ry`l}1sCL}{#u(ixXmYbGunx4MIPA(2W~`pon+xyV!svABs!Nh7Hvvtz8PEPW#?INKJ zil~x;`-LPwDcCldCzri`sxGxCE3NX}!^WtaCR;lM?t%i%X!weiQEqil{nVlr4hR(2 zTX!vlc(RT`CL5?hh~MpLZE0;Liv}Nr`!PP;T;B1P`aP8$?f=mwQae&$mr%SQiEQy` zBxPlSHceq#Nt#cN0`?3$BRsEdW@Ow9?UIOZB)ALz0W;c~*6nyY8)k!R;AZorFZ@an z3tA#Be&SG(mcClY15aK8g$uW!(vG4D|8d6ld&Z?J&UCgc^mwHj7lJ&9-q7%?331kw zn$UNUHKXa)uTu@s{v0*a-qQDc<$*~l~2I~Z+n!zp&y2qMbtuu=g{xz%$h z_D%{3L7tNjf)6o^xOrn95xl09S&}F`hq%q3IqivZ#!9THI#J2*Kbfzi%L27&;a_ac z@|(c0vUEe%6jeGUld8TmBD_a>QivB#jvV~inZ4Q=lwG!0x9{`<5hR!Y0*L7_-`iJy zZ%e1*C&3C3CdD+|J(kn7E$Vws24SXSv7!?enp6W+8Q5*g-lTcQH1Kzn`Bq3)Ie#NvJoq?r9Wvtzgn^xjZq+WeUFSV~Al>sXzg$@#8YE=Yif~g; z#+BeRsAQ}({C8c!GO(|vDik)F_`n}~^Y%J;V3xI#5DQyILa=7!ujbIqu|W|fwxP;aX_kSq zI!T9>Qk7U!Rg)4MvAk?{#S!Q9{>ykgA$tdkJWCgXLA$8HVyJ8l|gDEYC()y<=pW-=hi}!FGWtw2+}{q z*1JQ51uPhZAZr9Uc{Wqx)FG2iNTK%6=>io|RIQ~7ZE1S_NEf_$T27~=51*V39mDH1 z!*~4TnvhBYS$F=p=c%~)GE(%Cq9rmD^w&|PFp+)zCNRKEhqRG<>a}h+Q|LN%ZA+z` z=@Z2a>@vGS9G5I&LWLVgkb1x?zqEsi#w!E>e|d&}WDVVB|3Y?k?DK=L)hGb}L)g29jseQWDYlpo zq%oo?tyR;PYB3A0%BVsOLH0eR#0vrO$L=V{*@325k-TblY}u-dyx!^R&m1eJ=&HB< z)&^TG1;tAEI=>j)tKPPe;b!L#_Uls<=6J=3q>nI_F8W}$d7e1xmIDklgG{gb?g>3nj`3!3bBYPIy5E%bpz+j#9_EKp_XP~;Im?8MUgN{5H@Sgy(zF>j zD8wv{2No|NX2CRwAc1%#LOy|dl2M*ohmwParftTnQ%1&Ug=eL4pvB0`G>o060fx~o z14Sgg8_Y=nz8gX$?51i@a7tuN_q(}LW+NzWeq*QTvZelSVq?82*$&bw`Gf~Q<=s)& z^6TB!d5HxhzFYl0Yy2m|DO$$mlp*viyryC!DDvf@u6!jLh0&o@z(3Seo-SPP4VOmF z#%mo9n&DZmU2~+R8Cy4&m_h`xX5;rC-I=rEJWZY-<!~Y-cMkrwnnzgP6(mURSOQh*^v z+V~Zx55grh9N|E`5(R!pjHgCV-Bpl-kIspN0ZO2v!VjOHCzfVY1 zoRGu`ar>?#bsFncx-QXj)3fhMLWt3X#OYX2=|{9l^0JKbun2Gkfenko$8A^YD2CWk zr7}h{uOSV!Vm1Xmg#>9YZ4kwtD4vX4>#Z|u?Y|^Hy;C(^jq!B^aFnCZe$tN z3opBuuhB?*l|~Z+ME2)&f^WvetTnbi;Xu(aqCRH4Zmr;Nd`sT*CadjXQ$(uNea$0Zw^P89gLd655Jf zuA($W*4;fWRxy^3OAmA9+|o>M+m_9wRalRjipJPthx+vGMC6wodEy1E5B|AV8$2t^&*7;R-op7`4Q6BCsu_kR4&Gi^%r8 zK8yNQmPT_Vk&im1#W!S(kSU!WvGmLohd@?=(F%USneq{#pDZJ+AZvGWc2L)tsJxL9 zlAlv9-EB6&TLs3>GhFpV2ALHbGFKH8ClMF3O|EwDPnc=QkyzgE z4BSVZ0ae7&wO4R`jMp-9tJ&%=HcN(Z*x^RLdQ@~!k-TYOX(LvJrT*V@>@^$i1eyDi zwm4AB>NRt^H*@}sbqdZnC&pPX|44%C7SC!9Ate%uTAf_HSUrxbxKIY8g$t8qqj>BX z10@*Pydgr8Gi0{pxbtQ{A(QB7ETRfw?}B4zW|!`EZ$TFJaZ4`q7xACWONzLhfhBs@ z`WW;%eLNvXiTOP2o{icOwACxxHR3uwDH5wWrZ=|G?2mSqf6lSYL_3zkdbt!}XVZ0ELwu{1Vho!^ zgT4PahG}xG+lb}7x>+B3HlfLkzWh4~n7tUPgP7a5G;-M5ekBLUWP*ZvY4lM4blZ)9^Vu1(=v8iMalVJL*xTthSh9?n;9O+G}ZGMh|e+%JJP zYg(!jA~b=_9KkeyNAYhC5OauaYe_*awUWFK9_^S+cwv=~EvBnNTtu46ZnPN66zVORcPCOW|2;SMEd-})Yb?XM1xh+Iy_t(^|xamF|oa%qWR13Saep#5x6vN_Mi77&>cn80vs8`e6`7Eub_fOl!@G^F`JhnJ1}km(GP9Ev7*0t|UUAvpp2pmT~Op?fubfx`eC6eo9C z-dCPYv18e-dv$V6UOJWZE+wGegHh+hZ?Oz@j)7pVLt2b_zoKoBu#fwm%5FS`HSX-i zqw7wn@n5uUVXkkZM6x9UAvzAc1VB?%TPE#&BXP20Ny8kJ+yvDU=t&VfbgG%mT;BT1 za0N2O>P>|yo0@OUOe;3QtlpQR=KfM08fOjj3SeH79gmvOLY%Ty)s>_82Q{sFl8k>s zF$-E_D6tyD%C#x+6U@$0#CYYZ2GBp$Q0aM|#14m}1}#cjE~+NRScG}w|Mm9e@l<}_ zzoe*$J}9$;h!7=_A*X@N^OW&a=9y#4Or*>ik6EUWDRd0s2$|y~bLM%T=joigAAP>R z`@Q%6e|x>WIy}#L_Oth1>%HG=?X}j9u)4#&@M6)|9h%^|}cxy4Ee|mu$EF^73_rD>_&$$;#rn8Dv8vjEwRh~z{=kkvR?2#G)M5#my zHv@F6(C9=VSB9f6@5c3A&rM<6M%#;i0 zS~0(EV$C(}XR_`LozL#RW3twxGU91qN7<=%zw8@G z2hT!R{*$tP?lrdOo_ExZOcIu)2Ayx=DXVqLs(v6!?S_A_$cKkOAkO<=`8@n1>vExAmvXls?L7#Hsb|*@Z`@388d+g`Th38Ys0w(7WxVMB?{DF$4wE_ zpBQyBy#?NVOXD>FR8d|s3Z~r*>xIi*4Z`R9LAslQY=BGDrXkqLm}iMTKkQ(Rsh+4h z_hE-3bM1(uJCt6!(|xV-)a7%#9gcYO5!-h{Ea8(|-A?XLkJ@uJUb$i_kCr4Tn(hlL z?D0Vx*ZuV}8o8HZ6WRxLFx$x8EEDee#A{y+E=Z{^kUKg4_J}Ib@=r(d?28R#l84?a zl2eQGZ{OVhfQzKv{;jnsR;ko%2x8}sv5sJ!WE3HzClVVGGkr5}$*EzRebjp|nc?B1 zS}USuYN91cV`qLwIt>|i%C-~zC2#L75e*%RyS1cxmJX#kLFVx?U2=uD-thG*A6Z{~ zb8Wz+alP~#X%eHG*`(*thYIz0U&X!PMq|#*aur5V>E=3zZk>;BnCyzbKOYx)X0JBM ztNYsJk=0eDjkPQGb2J~_wQJV(T~r+}urNnNchPeRo7_1s+LlcF?nU(AZ27>rpoyS5 zfcBia=$^5jnbw!RwEU>x+J6#ex9_kBaho2BKW9y%Y*#k1DjpsS?r!A*(P7cRWtVB1 zX?5dvc-)0N&O$+ysd`7}Y(^c60O7QO#tYl+LF%Ap&)JiPMEF z%#2Tm4;^38-49Ph*Q|pwk)Lz97a0GvD}t@F0P}uy3}5=EngFw(v1I21&DFwGjOFw- zo;hxO;>t{5OAJTa@34#os8r^aYIJLj1wM8>J^x4kS>g2|5$V&FvCKA!2gg*b{JNNb zT;P}b#EO%cc0g5#&7kQW;c5;L3nUQ{a4{B5`Zk14FqJMln9?Vo z-1Mb&MbKoiu~~^Ct@~y&NS+We(!rmIqCj=?(rjzeu%>O}FU3#M09t^U$g&Pvbz9>V zpViKBw54{n#@e>%WK|c@dl%=j7Qv=PK`9bK!lkMa3h8&~py!L_^a0dMWBDTBOF zMisfZ*IfIja_z6`S#^?>C%@HrqnRvS=H&H{n@(Nh^qo|3xav})wDwOA1iS-4;S2($ z%;>!>7we-7)|C2YmM;ZzW8NNyC2?&^MdPy}uxBtS=LwWI__EJ(O+m z=^f5w+ob)i_yaD1hh^>Ny!X1s-8-TX9@(;{(TsFr0=KW}z2Z#=b;a{>M>ZJ-F1_^T zuhTBFo%3fCd&$?f&&gn5HbQijSUkCAANHa5K@i>u#hKbS$j$}`JXnSFK3$re-*$I_VPjMXGEmm;8V61W% zvXXI63Ic7#ReZ2dn)>^EuyrIMSdgrdGw{Qwm<%OKL z7721{|ImtYglEW=_#&C#mt}bZ&MLS6a`M8(XsnHNLYAQ><=t_fAMqa?X-`3c@Q)O~{v5!#XkrQmqHA@ zdLa0x-p9iN)@B{WZ3PEW&VyI>-e9MpsyIRa-1N6pIz8bPV=%aY8V&OPcuCEIX}9RA z*b<3DeCKx|vNqY^jM~8r|6FRgJ)u-KhjkvSu?<_EtG-is_CEEMcP(yS3(ipqf?-9k zBznrrD+?GaVKMbjN{f|)L8%Mu_e8$;aAGf3smYUk z9jWFrNuS)HwIi#QVvEiK=M+Q_uT7LMh4F0Mw58PG2K(bT=>Dl6i;-N2LCLD_F12YG z-kkJc_8c|#Jnd23@Q0sXTAHiAejgEM)Gf+1K zO>w8pX=?+i1|i&jlttLfEm)~Rt@Vi;tM@OMIb0v3=p|V3YmMg$yS(EUMdV&3H7+kN zMd_m}-9PkWjHyq9zu~SM@Fwoe+1`Aj6RJhUp~aM7T{N-Ht9?srJ{~pjWPXz@;8qEp zHfPf3`yXuvJB^}iuQCzH4`on~0yF3<{f3lLrA;}HSirb1s3yi1DPt?B!TnV;$<6vy z_Wf(g?Fq^mIn8%vl1B7$HlLD~2wgi>^6Q6K!b42BiHPji++@y6>hv<hg^5(9l#^SKIie@sySaY;r(&yvO^Ztp?8|nO1F1|A#BO%oT6u_e-0C) zzVWlAiMJOwHR7Igx9}^yzOK`S-cc(^|ME_lc)WpzjB2%F;~?B7AEjtOEL9@Imm4v;rWLy_5_So+>4&+mnoX*x7gy~$(9;)A6!SBKJqLYskjqXk8N3fD&{ z(B|qHQ;G8`-|z%`T%3QBiWiefv!5_BK73GUsb!WA=y17(W?2(46^;7)TokZ8~&(8&yW`)K?soM{S&QQnICg)#OlO@UveWPfT&Q)84{<6{96#C)c%@f}wv!CdpgIfC2uF@&U(^(fI`a*k=ZDNirZ3)|% z8iR}iN$yN%{5q->7+h>R0;q2Xf4Jx3@&rXB_Zo&S{^>(4*XX=An_}E!Y^K^Km=LNS znjG`fait>p)e&E>AAa^Yyy>xS>UPA|#vXSSArd_BGI&;`j8?FGnXF?1WAo|2$jpYR z*?-rr`kUiC(2IZ7R~ar4-w_+B8~$6Mt^GgWExKQ(K<**w>u^PZ+|K1w)~nN6%3B#C_Zf`_IhrY(J6oW0Q=C$-?oEa;xji$0c(tp5Nq(f7XY3#Q<@ zEb;~c0kcog&-bzb-@g1m-*zZzdudKfjx!n)sXgD^^}XBYUEJ}k=nMbbP#7K*D#%wiG#5pXedDWLu@@su_#fvJp4> z17`Gu`^ZTQ2oN=qqY<(eF^4_$}$p&-l* z42C(gyA>o-J$St_kztq*k^`-U3f z?mL1X#O5*re>C7W6~uY4lLNo!>qL-L78U{q=qC-F(C>58|-hB+bsk;?_z72c#5Lwjv}a%a(`$@G*Sj(36^m zztau(jU4Q-^AA~HuNZ!~ylq>NP; zMZdmqi<>)Yy7~ziOr4p7B1WXOHn~VSPYC1q+32Jj5~n3;YWpNopgP_@%Y12VZQVcL z(%j6&&yUE?j{>&ZnaHryID$spYg5b1h4xm5g-@&W`C2eu$Ah&V``m^J5Y(RCneeKw zBaJQc;^^pT4-8Rh?`PB!KItTyS6Dckmy?Dv!kNBSRBVUYdHS0RiWU;1qiD&9 zF(n#z#uV4`;O^Awi6JOJw0HDGO zWRMz!5TQhnGZ*#BttZDk)=fM;J<if=(aI8SpyM6#{I!yzDRZeFYpnEPNVseJB*5t-IfNp1 zsD{4g>oYY5*uK@?UET zOF)AWdt0x(V9#VEhM>I+D8Vc`GhpbUs7ifT*;zDY3xsZ&A9-}8KFlX*7hA6>(?z*G zMJ^6<2WO19&8M`(PU>L=V^X8W4;aa3VfanhY>ffor)Dixs0R&`UrJ3o>1VT1hKcu6 zJMO!he0oLx7s(*O>Pb`2?}I+nY3D->6Ql$T)p}GU zS9G*y8;QM5u8^OG&WflffhFIUetEc7m2d0q`fzI3z0I_&a&%26&9!i4=h8M3Gbzxu-wmtu2q;Gk5aCJ{-oM+zl z<hq^hb~KUV9pxVV^}m$#^kn7blvWyJ$9^#(237RU$OfB^B2RdL~- z$tbnHh4nx&f`5LM5+ZsOpsvg7#cb3a`Y@h7(b5wOa(zA;`mnjuqWzMRyFk9R7eCu7 zt+MB)L6J^4rX4fF@rPKq-9GKSqM}rsr<4B$&2#Urx zgA0oEo*ptwn~l{rOixdL**`G+=g+T2r?NR)kPc5oM1)*3e48J(s?R9qLiVU@R4S@t zR_10ja;%6z-AIfE%yTkW?2ubCvLGc{$ZKV=#9!HSimC^X2(RMlNGtlTuKciRIs)DW zE}Prg%`=Q25O`43kAb}q|URqkBrK6h!k(&baVSy1oC)3b%_DC7y ze!kAPq%;p)R%n%SqQUAe0S0<|95?J^)R}l+P*89KBIxbya!@IXzUl>rfWzkgMJJ#n zo^PdLUNKu+NJtH$;fGX-Nl8@zi?ugD+mWSuZpi{ATHgfuq34r2g$&B{^z}pAj58`L z<01T>11odGqLZ42#*cNN+GQU5wzgHXahjN;<)r*D8)apR@#C@m*AspuT(@pb{s^Kv znS|k3T}K>ROemwHIu563>RM0t$CYhtZcp0BLwTm4oJ$%s<6z7p51X~RhO>e8n(k^6 zKIgqICnxs_UdQX`>elqxmJheKj#C2cKy$~v_V?IWQO)sMb-tIZusE~`!~%jZRXo6> zsj1m64L?%NuCDe#^DhU^_Gu$DeLKQiU_Sb))T}(mU|3`wsz)JI-dh{Z2W+@#O=_Iw zC-Cw-SE!m#^@#cXTTLpb=a#dxb32u?c=~Jc)IQ7#!<(w+Ybu!SlywCkWpQS0+_n!6 z8{9al^3$|ztMx_%7pVS`@7gVVQJZ1d&yR36Tx?AxSt;k$9om?=In&t){6R$Qi#wIy zXuSP560n}n^78Z5K|j=Vbw96+R%^R$HqqqN@y)MJCD>U5Jon~{T`&l*%2%V7($OEe z@h@Wn|CQ!I&W^uCg!i9+4Lj&BQ5>xQ+Og2ZQue=|p}%A%F5v%SEB~9==uisee)u2K zBM++M{mXwSgN$YWdRG2z?9$)Hj8zpB6gE8S_B{Z~gYE(HHxG!wY+=RNxkuS*n~PBquKqnC?_j_1e_I z=5!AN?tSvWV{fJ2v`ke)LlVFTh^RJPdC&j z9vV##=GY9b_A|2r_`SrvPo`npfbU$5Xc@wIiMfusal(!VTLx>~?ys}Bn6wdM#`(Qr`G!(rhUtINtD;Uia9VXOXv$zuFb@!`ol9Ghf^Y4fL$Xa#Ra z?EmseytA|Oq%G~_QW{uZps`yA+W7ipvqgL5R31#AF>wOe0tWAv@p`9Qnhro#4*c{M zpmea~{dF^d#?VS#JB5{G`vwen+0Y4`ww6P-cl`bpQiJ$U*y%I6T(lZJv?ZfE%`|Gf0T?k17g zAjIrs^Kb4A+imA5dj<3R9Cm1*;NVA@@F@t`>+t*dE(W`rdXRlF_|<|cPs6glm@Y^% zH#ZkDL(9Uux|DDS5qMhPx`U9qiJiqB@q-Efnyq%80z_S^S(=wi+qyQScaAsu(jW;g zwFVcwb)RYF^h9==nt7c9g_we@#0c@Ni!A2?Fc{2YaYcD~RGaYw_Z=?a;PB=0**ZS$ z887oXb^%O9x6tJqp(mfNuCBR-#UurOgW~X@1>WTfFlTW9vP;^w*zTQa=PlYaY>R>G zXcI&b9HxF;0&MMjg!j%3+)^|Kd`SHKt{Cp zw6M3oKA*7H7}{z8360_q);rFhgaWyS~i|nFG`lXvGxx2-GBMnf9-`{I!?mp9on(N_1vz{{O=9e;eDx6MZR6 W^L<^B%S-_N$x10n7Cm|K=6?ZL{`boO literal 0 HcmV?d00001 diff --git a/_images/484c61bd73cc5c06ca23607d4520ad711d3d54bcb8c8f6fbbbe75f23f0d272cc.png b/_images/484c61bd73cc5c06ca23607d4520ad711d3d54bcb8c8f6fbbbe75f23f0d272cc.png deleted file mode 100644 index 46fd4a105bdcb5fb1455405c4856399721a72569..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 95430 zcmb@uWk8hO+b;?#DUF0Q(hVZrqDYr?cXxLP2uL?bON(^3ba%Ieba%7Y==1#F_q_Y; zv%j1V!zcqY_r2B?zql5`veF-r5%CbAprDY&MBm9nK|Se)f`aCThXvoc!FY54Ph1Y~ zRUAHA8#y@Z+8IJg={ne0SUXsl>XA4Z+S!|0Td^{7Ff!AVm^e7t*mE;6S^nn-7_IG$ znRs!E(ZHJ^*odmyLqVbHLLSih0(quT&`?lf?}QXwQudmhT{I@ES{|j-ql`qdmXbp( z>Tv3MU`kt`#mHj5eUeFjBmtj|W`$VCQHMYt>4f=93#o$?x*5SAd!Q*ZF;UN=e=)vL zV=_l>T6FyO`rekFRJD_J=k={;TI&Ff`=R|CR^$Du=^Oe0axsi2zJerZ@Xwz3Lj86@ z{pX*8B#G4UYbt-gFG#`}$Q%yy&(D3b|Nr|1Ns~112iF&fojxT+>NQVf6%{AVZ+A;t zmh!^BfB!B=Z0+jG#hn_i+2G`8-Eca@;~pkeIQiOfN1^%g{!qVW-aXa2VzyL;zVUh^ z*>le8?zr2%YJ6^vdoBSJT{=Cg>>~N`^vTb7srkZ>9yu zX-$uZ)AUU$folZBfKNDDF23{DEvZveO3jx|hmJM3t07D$aU~uB4TsIi-9+x8<9RZt zS;Y52<>lpC-oju3d!xYW={z}IupbulskB~h7K$kR@go*$yKXZLzcj3`uW$6_Iv02% z7o2N!wJ+IsUa$>(fsa4GdBtWvCF-LfCpT*DuCJe!tyGwUqwP_)?B#V)kuK&lF*f$v z&X4$&b<2JAGf}3dGx?JJ-KnCO*RNk^>o9X}UE{M`L_(Qv4y7*6Kk@Z>V?IT1x;>WD z6pkG5cJa}B+4EBDDPP;eS)PEH&)LK6;pN=JR#t?#kHgWg)&omA<>FX7dwcgPLX^Oq zBvxbb(~ZI1C2SGysU8eSNzPi<|j);t6Db11i_=IJt#tTN?! z#DFIivkSYmAU4KFMt&-{+)Qd&E;)=#;f9H@Th6^0oq6`8wc`VBH`qOSG{gXSSidH% zOj(nj{rer|met~h13mE3jmKU1yvH4w1YCChtE+lLDO}^83teIO*C4Nk8eLCaKm=bw zGDR4bZ-Q`lAqFICvIJutxgJ?@c{xUv+F&fr$D6%|z4Cr)8k)?kEdBfhQBHyb`{5gR z|-|@NTU;;sakUNUgM#6oQBS<%clv9gwuM)t2~> zB&*x_YEDg0zsG+uzx=>XC7tps>H|?`PEG)b+=tzkhY%3uNB4)`Ez_Lt;f2q`MA`?E zSeaZ>!OfnKgzAI1rBP}2;KB>botDTOM=mG|4@dDj4$-zbpHw~_lVGw1&-U|{HD!*w zN{w1fkc5Svt-YHa_UbA(?0308pT6ER7U*ZFS!j!AP%l+0YMQgKvdaDT?bG`ZY~&g1 z1eUp}sV>%G-gbQJ##U7CD`9zg`5S@;lhIcoxf`4hiN@HT@ZKG@dmgBImlS-=L#d0X zu4c!;z__tEoSV{qvLKqaOl)gwySLPoEJ*S*h0C5fNfMIr^y<~2(^~FD(`6h>E@ak? z$FME8i-({zkaBS)J>CsJt_R>~ZT&_*#OoH+C+y>d0lWN;d>!H0C$ZMYTkpq`gl<$^ zg(4khr~SEr?zNR6p2NK=J|3RrD)VV4I*Jr-$1h!7B3?&+#An=$R8)a+bjtFos3vxmdShX{~@m@Ui8RH1qq$4KWD)M)UOL~Wed@XumCwY9Y!;4ZF={r)W> zBXd~6L`LSvpk56wosF$(*tVdcpea;8qWkGtxbc2)tB%fmwI$RWcJ`Co<;S!Z(5wcM zIU?YQJxYgI)>N&iq!gWy@Ig;cuSIM8;=(Dz zTgF`Gv%8n~-3CX?%1EZLg0iynW0-P@)*uKn)dnX9rsk_xpv=KVlOI==c!q&|@P|~} z#Z7J7PAmr}r;~ka?_|ggc64<`Cnm!8qz9i0pziPQ3*+U1MxPi|is&nNRFKs_VrpWt zRWWQ<6&)Kpv0HnJxgp4I<38pnognATFP;xwE74ouO4# zRe6RVn&lNPW-`m`Vuj!^87((^HfgX(=mr2NHYrfF_UfGxQ~^sD#AY zq_XzDqlT0eGLQ4YUKIle2aaE>psTCvJN=Pu2aB0f=#uGvChzNh{#!a)TAya_q0yuB z67Qx6x%uVY^vAo+jQvE(T&wox-N~F5k9K5^Uk=>Ypz)9Hra;;k02Ux4*-hp-7HpnU z$)xS&n4u%VUV}0L$=v#|Ba@zZK1VW>X+a8=BD%Ee3LszaB%PYg#ErgtF9gmdH_iQT6)osZj|Gs$XcNn2Sl zLTTU5P0y6-KIK?+z=RZ2F)^`~g1ofViGq(1T+wv%y|@?>F;I&!k;URcU~3k2IW8BS zi6Lw`_n;=EcpT#@Z`Fk zlTf=`+)&?6p+Jk(a=&j~w_iPf)y2`=3V}MHqqIZH<5ZD)x1zEp+ZSh560}g7HHJ!h z&};oh6@ThyOs7AbQHe!=R(iHRYn&bjBAv>#N{xn*QM&%1em5I*hD$E*wXU$SO4D)j zA|*Pk7cWFX{Ag!`kCj%dwb3nEd$`*akf4ndF9(&n8dc%hyJ+(5tO< z>*s;(@>W*GXJE}5mhCC!(b2@B$phO-JvVulqd--Fye}wEGB==dEN#~E9Monlw+I8+ z;s9<}0>FT1t&#))x)?2I%X5aW{XDS`YS+TGx`}vQWb0Qx<7b0F6U!SH`kb^cIi$kE#fe17(!$0kp7 z`%2J5E-2*)A#bC}O$Qk408_x#1(>{NczAQz`+*gLm1*P5CSE)Pm=R!+UpKoY#$ag{ z=bN;wYnl%tyw0*nYaYP{+Wd}Fw!6DJ)}pA$vHy;aDsac#0?M(8sp(54$#MwmxOoL> zls0lBh6K*XbLJ(-0ZbmcGyCkIeD;t4y`dz?n}M zQ=q{EEOIsE+}!?n`FQWW#zzl&bsIqK4&7N#+G#CDF;k^KC@NxIF1a&-g4xm0QR;DR zm*%>W#Q&M4N6dzhkWfKE0f|Oy#;C#;gr41D)8)miGw9T%W|Q9!E;WBgLUd@Fp20C2Y<7An33&HP+fS?_&OCTqB+DnSSTW7XU&6z3%c;mb&9TKk*-427Ur5 z3c;GddcHc$ytwW&s5vhXVXT|4jnehg+;(VAPESX7&*`-q6Zhw9F6Wj3OSro}?d|JZ z4HUS`3>w9RkUQ`uXZ`*h;hKy%r<=o@y;SLY&X05@jcxar%fsGx-QKclYJEGCg{m!H zd~9rNi`^>p*eJyOl7@y95HQ>_S^W1+;6Z1{vi~7VJp<6=w6?eBWwl{{d>KF*XIiOaV$<4rw?zoZ=O1~pa!;A*3`r#CUTlZ%l^wM zGs(m-Py+ozLqoMXlRozWcz$$yPrzy81L>F37vM_E8!F8~cYyVSu9yu4wFfj;kJIGk zy_zO%fFU7eFN@#mA1>S4Bd@MLuSw*^DQUJ=TU8Y&Oa0Ew%&cS|v}n+fpU8qnq3OH` z=&xvWM@{oN1IY4eYj=T%;|SMZzHs%+&Q4CC%C>Kh=QT(KAu>vmp#92<;MW5k+T_jG zW1^vK!G(%U(gXFgAb0jR9iAaXw!@!4*IJK`FD*$62|-iFn7*4!p6Ig0*$m_rjh<+- zJYMZ2;C7(?<^*UHAhXE$?4`Qxux~Tbpg=aiy}+xcTE&`#+K`Qn4gRHdliI`PTWUJGT}9b{RV5+?|~?U zuSiLK0VF1J`2}s&u+I*G_BxbVhX#tajO+MH3q)=lT$j+5|6r$UC_i--g6S< z0`3qe{$4}`R;}pb8^<#;3IY^>{#o$C$X<2vp+}J;v@FX=NIZ{=i<3;}zyH<*s64nB zeku4hm!PYAFMzRUXJmA2VdaeB?=Pv9_ed8)m;RCl%X-p{{i00orDeXs1`5)uc1Hzr814}f;3Rum7AV(1R%&?e~6Pn{PX zah#VuIY2$(1tr|T*!UEXT2!|swrP!afa#<_mchWl@Pg(5D5lfl65;6o^ETH+4GTly z9&P@E}EufZ#3Z3$JY&~p-?K$)4FyMoXGG-t+w9g5v*p=YkjoQ9r0^!wrm zV$T;9vyw_m*hUpEvqon&*<|xSEgx?F^nI!UR;a038+_ecsAFAa@qbII<#lbS!H5H3 z6j+9W=6|>O9eSi!P^HJ2jjQ8h-AUhlY_}5ii^lSncw$X9dxe|uh=}fOhbKqtF*0_$ zMK$HFr$!d+_@FvjEYwCp_+Qgd9U#M|*4D-V0zIvE2g!B>>4+nUu1QHr_i6KUbK=x5 zUIE@QeK9eifQOIIp~vD4b=%N%}78htWK zCX_npHxZ$WWaqldooqaDb8te?puw2td7%n;TIWzIPuZ-6#atyqOm7E(Nt2!)rlvGu zVPTM7H)r+s?Gx+}n1)55_z=lQg`W1?NJPJoGd+08YGkuDLJFY36+{^$bY5ufCiY&i zgwi&7w7CKN351A^ElC?~SJV%ecAw7)Z!<~gmYB^von6DVT~=VegoMygQ~$JJ*RPm` z0LJC(A!oO+{XBtt8VGI-4hzevs&f446o{!56&vd>p0l%7U}? zt3Z0df^@iGsDRAcAy;lWG?i#F+EcJ^fJ*zyKbbgb8vcJ`~ z)j$Nd`xA8C-AO-WU)(Jv#Kc<7s=~*E{%k24ya*1u66v4PD#-j+!Fft<$}MHK*S;r6 zD&pp@e#h=R_uYiEOOM18z!fcL$K(*BzzBzsGpD(Rs5rz24IesikH+3V_5MIL&##o(Y{8%^7L_ibg>+dzpTfVy zJ?A5U_KJxn{#)a-RsBlzRCD{=S=VnyL1c%-|8;eePcos1Cp-l6N}g5>Ns$)^3tK}X< zYWU%Q7l--i8J|VTymTVec)2>uu7?30Yn_vtmI5j4dG$LjMSLz-J&q(6EBZO+iT%Lb zwMcfQ}3t|6%}zi$Fw-WgZoFvEjx8dx^P^|wke zUz?m)%FAni64>j`W+~$~XDj=dx3(PXfjzhAxDDH8q3j4#+`7G)Thw*XbD{3g>e&hiQpKU=`j96e_V?2 zYJ%U{`{Ym`S94354N1j2aTz-b-`FkKo=BQ-!%7+cG7DgRd?NNF4EjXr6NT}+2Exl- zB4K}92rY(`ZRj@n#HUhl`Q^&c%sjU26&S{0%RUp_JsLxDcZr_<=l7Z6eQkU+r!?QxCCg^$*zV|^tetebtGvd0YQPlW^WlOBpWaUL z(X1GymoTx%Jhvz~_`~GJNMRuCK3wsDaI-HE^*%&*U;RE+a4q1Yzdn z!Nfr$&^TOyU_iDckn*Sh+8nPUxLws==zm?1%EvNOGWwB{2&?y&f4%5)_I9KK)D7oW zepJi_EkCTavBIF#*IgnQ|4o-yBT6Va-f;pQ@dPR^_~g=rhjL-hOBzoQAsqs84M49`)>;gtnB8N3mNz=ug3u*yJj<+9GNXB~0Z;Ht1$N1%hX3p=6jKJ~%zR8c<`$3N7 z(6^aCf7?OpRH==cRRPaHPodkE-}|ba7$T6=0?ZEJ&iZjTF=z%!1s*x&0`Wc+JJAj62`YVn?(g{H*aziul`9|-h7=ag1eeF-Wy|MKn9Wj*pw z+q@!zhr@Z203pQlhs(!iibG-wdhF*Yff~1s)z$H!jHAZ%`VSgC)d9TYhh{@O5MlG@ zJkLfyup|!}7#ixbCj+GJsr58~7GQA{0?wat%38DLx8Q3pKr&=R!qhKTfg;%T+fGhH zgJAR_YUd9gib-csRCl>K8h_L9RcwT!l+qnpWdGOFRIs4y2dt8`J2))D$!Eg4*EtbX zoQ4dop9&GWa(n0TWYBm|P(QKV!n-Xlb{`aS^`8bVWsV*sDopc@X`Ja|0bwmWum8O1 zqrAMRsAxu0Q|inN0*Q*|jj~QgA3LJ!BbEShTrueMw%n;uyw~e73vRnb7E6sUlLtkB zyoJwUwGNS1pdfm&>t0#6sJQsIii#NXlBRg7G?#D7PKR}yM35c`gh+7T)VDO&NlCLU zDEj8+beXb2fSCO;dQ2@W8h^17^0~zVBL#R0!03@mW(Q8u53rXtfA^BWqIh8-J^T(q zd**|0jt|{w@w<|#h|5yOp4kgTud5464QQN_-JLr6+t>8m{jMJdVXd(p6#B*7v5bXO z5jK!^WGfcypK3FA?8Ook52(JTDRzI8c$BtgIbUr%$Tkf$L*KWVzd$7J*-K`NDcoKj zQW2oUq^9!qWratE;|b#F=%e2q zUIw@_3L$p~5b9%0|O&xwJ-x@wG85|Ot!&%e}OPlD3o z=dJkoT={3fdut(EEA^JGH4;mr>=&QdvD-+u@+l08DE4F{i#j)4|}5s0@%$8`0>b3NVvO#2i*ScqVuxh`Oc(g zH5CO#rhLJTi&=7V@~w-*t#IL_6V(Dx!ODQio942L@BnbQmd!sHxOF`zFTO<8*hp)P z_YE!b@r{eTo_v?Pi{IFWX;z2YCy}CW%r%%XjPJ}OX{V+8$;j9}BUvj1ztXu!6$R#( z6p1X3NahU+$~PuV*t|v)P)cCQgiz?4^Iaer-TU0SQ_4X@m|7!9Sl;`yafkx+3EPrka0KPyQ&d^>1z1xd@0)CG~2*mSm*CiKQJ=-4F0K~C& z(TbagXSUh%)@S+-P}WqCP^YyTjC%U|x99anMn)Iz&1ywPK$5xJ)qY$BEOvLP*{~nG z7*y8$!wPaSm!>7?;oUm#d{5`aEI|?<@tiMa9(>z39;uI9m`LG3=lQG1Ft}0n^F8-} zx@Wl{k=1|>gUBe>^31b34cqy7FH0}^Zglq<-nTkyL{!IEq$pBw%CJX&joGNVOEY541}xFa(j^AD9xK=eQr zQO20`L*<__cONFF6^pI~cp75=)GRv9XZ*EMf!M!OaSw#5SCo{w)9h7hQa}Qc&I4|i zK;`oh@~o!S8r-EvQVc|c3YCXx`%dfQ!kAwvzWigLxANa?k(F0esMb5sI5iOZwf=EA+ulx$*SkeJRw-LA> zGy50M4Dn zzkd&sYr_|gXv@pGX1;f52;$xW_3nZjxH~|61PuIL39-mew_{CF)~SrGOnZ8UMr6;n z7b2`k{Cs?bdE>o6d5xI0fF)sJK?h{&5{y6`SSl(izQD$IYSFGVK`#NF`11B4k{l$4 zZ?C}@ZmmmTpLVPrA2lrBhkyPI3(T~3b?c^1ASTyG*w$$PXYdkF7#KVt1(|@02C|05 zdWjdJuKmlZ_=$ly(5mwbFx!_?o1hGqg184S28v|8wBt!<|8G(z>*!$;>#ywWX8$`K ze(s!bte13@{syY#mqkCCkYpMHxduq5WBb3wzNh}s)-YcO8<2%g!ydfu1NVMS4&Lpz z=Vuc6n>IP*YXZbWg=W9YAm?}UDG)`}k3z0Ut%`Q_w@a#Ypmd%-5F>#N=PN6!6+U9} z#*;rIQx-npt*?B+o^li^ZFFvHy$tV^J`2ONa=sH4i2|61nUt zfjOze+*4T6+=r#C!Lr5Xym(lAi^%|Sk-%fw=a$%QE0dq-0pg4LRl8>1M_qUVM-wC9 z?dYMg0d=Ut|G0JZL)C_wR6=B)BQgE~Zq~vICH=9lUG6GPTZhd7Im~d$DDtKy?{ef> z=yb6wVvHg*^29!_E900}WYi(yMffg5PtIphpuffu(wOQw=XnN7lgcj3SIa^T85W8>mLxo%!Tu^qF&yRwDc88)Lv&sdH`61XpI5N`k{|6zwn!LY_p ziKo3nnbyg)aE8C8uwf1{A4KSI_DJta)9%Mn%a&3bj`rYn-Di#o-gqRs$J~|3BOkDH zR=`L%lPRy^!vPHM8FtHQ$`kzFSXZ&@JG!N}ynFb6$rq5>lEwKNi`g-{0$R19O9Jn& z5I?QU9sVypg^x>(BQW9i@rU$?&X=7gv6%gZi^R>55rpSFCYRM&^7$(9&7qR|k8Dpx zV5*cZu=55!b!Cm%JxP(W+0kS+?z`2C=`x`9mG#j?ZZNUq$P^TEv*7j?xW7c-*Kfn` z2Gd%gbU3w?{P?jBoNjV*@<<@UKSkyJX<4% zbykAJ5&I2+@6@SeRIQz{}li$)n z%L4+aYK4*17|WEDa9J7Ojol7o8S_INajW>cs51=G9Xd+i}vrwYWa-a+0|HoDzuqJYWC&TYyqsrqyu%jcOJW@VahwVh}hX+q&tmquyQL%#D=MV=6& zLv)4=$#krQsXdKuTQ;t|N>tes_wJr4f3&W@io~Z7*uwF?<-Uim<}Oe2PVzEdPpzkGJ7c z(v1F#T-97D#CDZv@}(k|gbG4qLw%J`NcvqJ9H9-R>u1s(bXQ0-_&?py zQU*sHkkn*)zu*+u8^DALaZb5~V(!~@w(!~$(FS~3+qZjbDC7Zs8olve(}Z50vX_up z-GAusEyqNND3cjm8bja&E=oDL;cMILHNGFuF_7S94Hw_5pi>H^`v~dkD6P`}fqN$H z?I|d%0?)^beG=cn!(^;56S!+CHNeB%ri|t2E*RqCbm3sY!%-j7!|8aPcx+G&6SKAB z`fvUn1#NvVsA!A@_Z3BF;^npEfpHJJag6Q&NqZv8k}&=Y?Vb-}o(Psp>=@_49_|k{ zvlZ^B(~@;YZ4rEW^s{#F`PAbGtXB5@Z=TwnH&wdYX_U*qCn3;DILAa@1JPW@T~z6& zF89sAbWXl}a5jry<6mJcaU#V+pm%gC3u-;lP9?h9K;ECM_6cM4v~~B2bB3ImN?hF+ zPDcXd9oW};Oc?F8&ja4ZyM_z{Dd9)XFMGj#A`|X#WozBQdnEQML`Mt6)0j>B+%+Vp z7Q!(3_AjAW`Ws?6UA6*2iGN)dO8#haxjBuwrgeTYFIfASjqsi5TT$K9xf!{ZEcJF5 zK;Ty$Y=JCtOfvj}f1LtF;^ z2!VBD^+om_&2wrwNI;ISf4-_6o?KX8qqJL0c^A8L8C}gPp`fS7Q8a*GyE~6 zF^C~1BQX>5(VBcVlGo}I=&ox6xva^x7lY=m4_Bv+%J)RW#NKJ<%Z>3I!_8dZ@BeR7 z$0+gtht%=Y{{Jj>M7$Jlfz(V~^#y1S;wdlDZn7rs`O%3mcSp0?N=WPQx;(vo3*5x%3iw5Ox&N~dT!ls}C8wVYalW`j?kKX5!g zGLkzT#KP!z*aUZchIa$D0-=fnwpC4E(+_XBbZHihmxrAmLf_Mb^ssE6*>4<`{lBbwPtjGS1F7_VKr!YO z0qF~rvOHVV^C36EscnWJCfrRq&$rYBde&=N;nhT)#3xbuL!Fpszm9lbv4;~bK|Kft zar$A`2>37J2la8Hz)4cyZ5!ZAnLPPu;&jz39YnZ_g-onV5J9GthlNnE?1_P)l;`+= z^WI>7Rt)p^gRD~qYa=NykHNse0Mw$oKl%q4dY{>M8ZfeN>9QqH5lD_F-~Pn9_kZx= z`UQ!$a6>v@uY3I&NvWThF`t>PjbPS|M(+JFpu&~eh7Q|CeDYCV`}GEQQxpa~40T!j z$f_x+7I8O40Dqf2A*-eb>6R?w_K-UAh$LNbk;Cki(Ne?nO2UIDbG6MY;*stssGe4c1PYJ

0k-Ncbms?_vFUg&w5)ppzp`DLVjUu}iFRyMI6 z_RRU`VE7H8!wrud-Gql#-zK~m>DR?UU^Bck^joLwJo#Uft=ZDSFVPGF@ zP|OPRduO9}9dp{XpW(Y4T-o0r#6;HG-h^dM)pY8u09PC`$PAe;gsPYw0K8vG@s%R`Km`^p=1K@u;_U!62?+*~Jo~_#SnYTupJL5-kL%(8WK^O<1UtYx8-wNvgG;}_ z5xMxxTQ!71hDSp}AcYHz7lHA8J|6f4EUj$XT`j=o;#Tn(&djJ>OQdq-Z=0TSOQ%c?^CK#vAvm?1!WaQtcCwsKU8c|!S|?3@dr z6o|_U86-7%gDKE!@QviZMx@d*7g#~2UEJ(XaGK5NFAAqHh65U+A+UcVH`vbAa@a1_ z&1@R>$3>iTL=R9(sZQM}8s~963__Oakq)<|Mg5^U_${=Dkp7$<)jENo!*fS?BgYgt z)q;&Iu=2)2I|Q<*i;;Z#Jnf)^K^b%zmA~<%G5g)QLS|`hPDVo$JTxRdV02nK-@tkB zMQ1{#Ob-Tfm0;uMb;){pE?wFGk3e%@k>h`e1Jn3@hd?Libx27|$ zH+Iz;P5cYN?VB_TesD9Bs)JaEr$lteN_>0DHm9&xbZ|*Yp9tdDq_o(+)gO)dT~Wy| z`X}i&PII$T+u~S*FVkR^=>Xr{h>7G@_j;c>K`MsvK|R8*&k50|!1kkRV!13e3o<7Hx&J$e3+J9}~q33RW~ErB0uTR_kRYoaQic23nC&_sn#l6w*gy?wJ(+~T9MQzcrw9*#;`hx=3D3 z1;1olU77(vnZUL{B__W~NJ3x@WNRK>RgrkfaDbiLB@@DpP@cQU_DvuC57Y8MJc4by zE8Nk31G~RYtv?F0a3$07{6eHh<(ci%LSP9_%(NIN&#UMT8@Yb;*xsm*% z!lqJ99cYH4HCtI@UWCD?-4%zThpI(c@j#b|gpbLW(R<&8SSilHHbsfoMEhDqt}|mw zYhH7RODw$u#436M{Xqfxk9WP%l@wVqOfS-(#}kw)_H~s_qd4AXY;$H02WCInqVi`! zLo6-S#gRIojHOmhsZVUIZHyvbhPNp_MicNpT{udIrGliZ;E-~kAD1WL7vRWuX%{)&WGB3-%{zSCKfD~ z!q4+ZL6f2$k(opk;zj8r#?r*Gq9O4J^L8{j5>DB5sl0bf@`^~UtbVhjk)zjGJP zs5M{#UM4PyxRk+BzvJ<*iT~$pAEVw})BaxmvM*4SSlMIZPL)oCHsR>iJs6J5XhvLK zs7ZgyLYHoOx*^%4@vKa2jqeN{B#P72VfNto7cpa?s=Pb@1ylE?mz=25n^i^-EN4%U6xMYnu=qI&3r(B^3sb*A=n}!+_DSL=@7;{PSTyID zoBw$AIFw|Cq`uI}ryzYBxN&$Q$5?UEuZ;L@MR~tf4AP%|uNGcIXU^3_y`DWN=qzH( zP~KJr#Lva^ZYGpTT)Hy#m&!bg4m&eFY443D?|#4C+JauXF*u=d?}nuM>K)H zr(@>y+%3+JCjKs;sF6g#LlH5!ohp@nAY?N)XBIsWH&j%0ku*(U$rIIK`0WbXZSqBy zlT)NHuYL5!Ycj7c*G;N&G2?GdMWF@q48aa<+n1l4+RzaLXQnG7)IKnvd4?W=t=4~u zzxX@{Q67=hmb)?~lB#Y$u9Co!Bxqai zr9<#_bOr_apM`<oHsgC97ck=KCQx%9bdqG1PGC9=_H`*<9>=M6H$B`KMefkQ?E z8es7YKvac17P-6cM{{PkoElhgMJ^&E6Rb5#vp=1Qv(Qn1%=ypW8>AV7YhKl|71iU0IQc*wHMPH(6KMK256iwD|wF zG^R1>qR4W?3S=B4cIS-~t`9Bnx{im%Qa1PNX7WQl^UA5c0*caj^F z!(q*&!n~52Pm9^Pc$zDe!mTZMp3AF*OGqct1Zqh#4@JN=k?&%xI^6ScJ=6b?R}uq+ zTpPGW;RwIUm!#G?yso=yE2WD4B|=J^pT{q=$Kb2iGZ=30o)d)GUG+Y@^{RhrRXu6l z{#S)bDvMrETt6mKY5{YxxY;?q6+?_quk}cAQ817KW$6_2UyR~=wwC&LuXXB-WGRVU zKE*(k@Nd&qprzOm(@{~Uk3Sd&v+`-r+J!FO?6vNcKPhE)B^_VQLoOMed6(z~!G+PRq0A}K_2IXF=5}T>IcCfQvJ}|E;Z#<@ zSWkJDS9j!1nj~K9qKX}5iX76&%D#^Kz0-g68LG2vMcnRo!A#l6v@~gPaq&l6j~KMV zieO}7Z$Uti-+8_|{fMnIB~rXSyK+%+uE0ttjWa&JniNAQlfqvf=_hUNv++G9+g)0J zfI1`JJgHXiR@SJAf42%VDVSUWwN|L1hA{4J=U8QqK~lL$@l$=ofm%clCoXi+ zbfnaCn=3==JA&+i_you9sFkhBaCWu}H?w^9*=4+G+}#cRsJ2t1T|Z(yuni@H z>koxf_ur)6N4jLiKl6M7#E8s~$W71en2?T{9rx?7!u{+LJHZoP#>BK_g<9}ziqt25 zU*P17(l|a7UU|;0Icc<+^_5WcyEKOWIi?z!%eV1$Grc@VDj?LPu>a9W?;y)U20YMu z>QHjA=o#gz2-Z}`L%{b^R2O4p2qzMd!oi_)bW8u>L9HP+R;w>FJyqOAcNJ$5{<{~MeQIr+*j~c8Ju&df z(_Mg_x(I9OO|bmv(_pKYh=U9c75>20k&Ii5D9ZV@?_YmEq5!*nI;6OV=eg!k>sF=T zYPD;nw!i?kY0v96@=biV@a7D@o&3@@zteh}~-j74MxlDjS{gE$Xjz*nF3c7jl$=ve<(3OGA94cj(1qvjYt+5CK%7++c2 z;{Y%&g~Id_yFFj=A{i;gOrSGriVVu&WrfPuYKJySH71~u!!)g1VmKgpI3Dbq#D2An z;;nZTW0$&kAwNhLly?o{0)=a-%$V<5>;wki^2rJmMIHyK<5Wx@YZmqLXW;}yR_oB7 zd95j>&oy4evxscXJDM(4G_o#aiCNk=SfLDjY@yu_1t)ijA`-;}hqE@Kj3TlX_;?Y$ zw&}s+Hw@-H7)Z(>T0nWc;5f)*9pSeKY**POsBu%9HRbEkFl65!6VkieH+Xd%H$ZNL zchQ^E#fpvm-B;84G=qF#i4{zUY(xPCME!o$aky{-0~*OiSSVT)T8bC(Rl=eIx?htg zY!N9!2}=hY)mP5>z0fU<z8AihKYIfzbgu{y?2ld0MJ>mOJpT9hDx+b8oFD* z#xxsqBlWkvqcN^MVZUdwi~iu6&g)W?bK+OybVzl+j+qxR=jZ(T7qZ)|T+7o2B^gV3 ze%3~-*NU+6Joqa!yLO!7eLtWR>gc#>!DOCXQew#RXxA&xCkU-jDNFRqnSCnHx`LC$ z?o2m}PHH$u9DF48DIt37p?r=!g4np5!X7t$LRAr?Z*Eq4Y!zWE+?vg~*@t97&Yz6C zj9_@KV|TUAe#p{9agLOSpi6$Uc1d+O?K7W0d>OSqY$5BE?BZyjLqz}=VxR_fmmF%| z4qTjEKafX4B+5st(|_N*Ps*|)xoF%Zih~VP@Ohs@6-t!DNJ0CXJWgIHR9fPb$on5k zFmfIaglSMT#UIzVG`7C-ce(Fr7`B9z(z|;*U@aBcPeEf^kKxgzBd%Qmc?2>fpy74> z8!{-c#+QQ79wfRO%8m#_E*)^?p(^ry1?@^xw&`Ord~BIb2XSKzbl`F;$R5t8(x5)5 zmhIg>d+Rm!6q=sU@#MAhJ+uj2x%9vdGst|IX1@ z_?%9KcjX4!Bf{jk>JO?9GHE;)1P_tKA3pgFuX`KmbsW*el{c!dzNu3YUXweT%e0%P zTAsXG!7t5X$s`uz6+)#rrYEvwtihQ|Y_v(#N|DbhjoMI?b%_5O2x2Zi1LYvo#*4-Q|gboddP&9-AS(|qo}J;>r8rGO1tYL*k$nT zqc=rTdDSN8dIPKGg?^K;C=Ek;OETFsGr!j!mKyxWNayX^z)Mfs&^5?(k;lHd_8K^| zjeD3WiR;!oZzA<$h#kSX=9LAj%8_5^1&Gdza-Iq2@g-fO|OCpR#?vTd9wuQyt5Ea)voc8C98w`_55tA?3 zyNSM+=<Xrh z-nYpdc?i~tV~>&=CV0BDg4Q0(t*ZG_sHt(^c!h0}*+)2L@g*(jnW`8$)S11HScQsA$?6T|*49KKKh-bdiA{N-|v(EY~ zPUfu?ZTxne<+g;MId+!%gF2@5 ztj_VbDeNezY8+>)9DKN3)}AL+n86ocWE%H_KN<$MKcntn!Xj%dF(rP8i~vRJp;X}e zx?CWYPg{b-Hx_>`-t-KC^4*<-hI2HO)NqRL22T#ypBP$yYEn%T4fU(>1a3IwoCY|o z0Qnmw8JU^BVEEA%{2hf$?hVM3cbct^Y(~F5_=|I-K`+?PiW@ zuI7)JBlR(;mlMZHzfmJcBP?Wr;}3>KUXey&$8?>9{x*sAqtBy@E5Bs4#arsiicN8i zanhzTlX>3H97(E40z0hZOOw#6`*O;!9Ioy>v@zwY0tr66X_L+_~mS5Kf$P*h9S(olY=e!7e>Nd_rbS18RJ)Ij&uJ1fWT zZSl;g=@Y{DZe827vZb7kEWjupWgC+aDSAPGT)y`0{0(AQ68Wv%R?2g+QB!j5pkj9- zco=}2qjf|DixeUxkCUTBtUuEvc&*w1M$nSAA7_W2TIsr`6yIbVYLl|`?ih)R_C4A0 z%~gK%hh0meH)a(3LkiJSu=0aA4|kV)^E#p#WQ9S(nP}rpR+8Km8c7uuN?KS$DxA4= z37DJHhEU)X73APfq4qs3f{Z8>3tsg7Q=U>M@xOW2`||_*C)0vk~wu` zMLFt!(RJ2AK}Kz#21F4Al}T>}y+=z*~sF_kEw{NuZAm+ntjEL8^qE@JNN58RAzm z^J(o@)y5|{lQ%55KD{Wu(Z=7d4=R>4D{^)tlF(MZ6t;DJsqPZURA752L(YqV4}TyxH8UNfDzCU_%t2|}LAbgZzuaD#{73w8W` zeu4K~H@Okrv99Uy2jeRni6}CyDw+~EMlYSea7xlsLNZf;ZS+huy{JH-Yk*e*Q8K$JsLW?9asP^!Q)lr zwgiwjmx}=k7@7V@0NRee`eaNVfe=YpdU*Rf0w7*09n_1RmJo(TOateT0pjAxVwtF*#2a}O%H zDgwSGab1Et)M4A#-LiHm%Zj)pd4vN<{@^D#V@jnUh3-#^<_F^@w$dm$WXp&GP1LEh zj@z+g+IkrIKKZbcf;Dh-Zx5mL$3N|rb{rRe*{N5WG!_uVEMF8VHbaNJUdM-5>KCnR zhcakDQTa1~`hyC;MwvR_j>nVEQ^)Xj8OJRJ)6Rh(Dk3W?;TMvz{Y)vAa#4`pEKk zn_*Rt4St)3IjZ#Ewp)=XBDGU#eC|7tWoU_tSNf@RN5&5-kWh}0m4lHZoDxU#V^{t! zZ*$@NNGDL)pq=J^aQJ4cmi5sA zf{-d^{#pZCnbGviD3O;OaR>c9Cmu(r*hPl$fWwHx@L(nEd0?Kk%y>|bjzma18U*ZH zSr4vMe;y%TRg+~acF-dJkeZsBFw)f?2K$#2AHIEU?B^R8=d%tNH_P^mL7Ig|dz0z^ z0pgTBhM)TR9z2v*%Q8(AsqjqdDOJwXWZ@v9{hFa(X>v4WF-Q?v`w#Ot5F;uW!`P?h z;M`==`sG~TDK)+5W7GjB8AXi*^19z0OU~8XjCkG!5P$)jf%8TW!-x(?;P|jRdmmq- zD;I_;G+`51Q6DYoM#e})U+1fxCwmXCL>uX5jH8WkY_{AbZAOls>W6kf!%*O+tu`*T ze^!jU;)o3Duc$ZCG09=5=@^1X@!s{3-AeSxdrp}ug$dau#J$u09*gEV?}Z%A7gr3^ zR)m0mOjW7tSow_-@m1Xq#_6%e*``v5V=LmN?;RL5RirBttHU(ehi)upw)GX&dKAn# zSP8Yps(IzOj0jt{&z`dSuB+^^nmrx6KF+xK$l@6cnGqVWNZkjr5U*9_n$sLYZEpoj zL!({EkR%25$-gPV4gxYm=cPG$d3u8>eJnnZEciJ!E_*o~BIR=);k}s=U~pX+O1+(H&}lliHNKmaWQpm6zt@s5oBUf#F$k@ zRT7M~ADn6jX^@>pmhy;0vW6zhw zF?W9-n2(!wjs1gz`XC`ot5KCB=f;(am@3=nkAU+UJI#z}Ny(TnCExkdjdCSFsVo%G z{swGRcB90$?AD_4;5qB)=rz8qGJMZo-OKm+vC&8xB3Uu_D;p6xZ&QZK(Bz2dJ0A{L zZP?Diki;a}gl&#b%AGa~HbPrBE@E8k?@oLH3O`Cj$!>Oh7(Y?j?FMgZF(VT)n52*1 z$V~c7l%tfVIO!!58HtTy$tTz2PMV(TXfi>Y0UYtYEzpZ=W_`zHu-P8f?j+}p{7svHKmKXgu?uIiifrMh3$mR*F(4;KoH?hG$zZ2Iyf(D&wmL62WXfdK*mVP8TehZQTwI}Jb+?tJ2}hxLnpRS$ zJEkErG#`%+0DW%Qx1W@u0dr<-v^&@a+e#ubi3$~Lo!vqg7vngWt#BrhiFxE{$_tD2 zfl%-8?e*cC4G6c=3*H|vE1>jF)r-1WV_Pz+x#Bj-k0mi2`xTG1;)UL~^`xLP!-~VZ z$`i4BFGOAA22k{52xQRjzcH#ekX}YrQsJ{Kx6vJ39BBvH;D(Mn!F}I};QA2iYWP7- z#G^hrDd|7bJm8BE09DaFF(U`87=wX(6*XXosy%7FT@5a3{eNWz%an2Ycp{))x&V44 z(Y?av-w%DGc^;HA!jB@yRpIbhIg-Mwvp4Zl7||VImDCeGV1xX-bY zzFWGD>;ZRPr+J^LSgR9Pi6h)pR#F>|eb_vG#^9>FooQewxM{OHg*5KD*k8}GT~X{KrA zzREV)+9^ku>=&$mvquFtNl=@uZvMcIks>tDIy0dNkJobySYLRLsGSTi7xvGbGL$KU z*t?_k#j(~l*|UEFE^UUSzrtwFKDrm17k5rK^?rIhY2BoMYKF`#cx46(=g$3FFjr1W6e+%$ zmwMNz3$S^A*Tr#5x?M+b2~y~*07*^bQYor4fc(^$GI77- zolVO7;~kI$QWN@hDWF*#(7D81Nc{Ync3}&vWb|>0VSB5I<=2=~%G+X5(twTGxiZpX1Vx5RT?iJwKHEaF}g2bj)aB@8iK9FMFMRIrBwzi#$t zIE9JLZD|VS`sM*Cu3J1wT8JT3PQCJT%!U)28v_R1$aV`}&tO^h`ZK|izWo|V(p;2O zO|cU4I9w$}kwOuSk?u+iSQqhl-hSIPeoEaY%-DRHG;xPmqww)1Pd=0HCg8~Z9@8zi zNa29{vy$gR(Z(=3s$+8i|2V!dZxaZ>FF-|_{4n+UxbCzU<02A(pSl>~H0#)Z^*j#EY}hK6oKn7BIBcTiS5udW z{I!Y?U5SgH_U}rmJjpws$J*SquiW2MPpm}t8MHawDE5uvyzt3A;P}1E|Y)E1G-CJAOLRvsMDi75J;xAvHSS4}e(O*|ZGp++zi+6kuHxJO zw6paJHsjnV{w;#}CU^mr*C$61-A1yZPgT$LN#|_#6#Ll4( z+cIpE`8O0!KTj#Ucg8=#pWCjmwFuHv86yl`C`mBv1BCjU?qo}_@#Z|e?ZSM>+lYE> z^fT1AJ*B9E(&hCFy1Tb&&QCO&ps2#{fj|%_Hg~*;22Ql1k zI^;7dJpqr+QLX}haTyOPex6lno%wL1udMdWQ;G46sa|X!W4=X%Fx8|u_fc))?%d(# zbFAwA`hwJ1D%BJ3MghZhjhk`$%b>dPc{+_(GVJnw-m+gw84k-94xF>)JJx+6B|c_WaNIn2{rg4<|*0Hp~?8Lj+no+bsJ z3PfOxbNQb<3y3wYItTe0oZu|!)^XCtn zRr6~O5ynvaq-Y&B5u|=MzlQwuV#C;mc(|me6jEK0`1yn+KiIFBFI#zaZ`nITCGa|u zVx#UahJWH%hPVGspCFCF_>5}Nu|n?F5?Tmt5ViB`(;F2Q7ShgXnm-HB*DxImv=+4N z>AzxxM(1bLagGWKc%-a!t*tA#*E4hUxDne?0AD+Kr61)e;ruKJaidaeU$-Ek=bxCh z?1_BV^x(vjRe=w!R{iwNoG&PbDcCjqotqm;+%)c_eU{rdu)a<^%okk7X3aVSfDaVf zTohysNi-#S)pGpfqN_}3lT`c}zX2wBwbUIW`g2^(wB)ZeLQbkicNabU4~oRm$|dzK z;{`GE%brpCj?3yXSSqI7Hlu&3hsTeHNmpV%Dd@esGZeC(?qTqfd{ddkhKvxTfZ-=k zMT(g2P{lx>mKb4;gN*2 zew_0T5#U$>QH^X2T3Jrz2BZ>MAhGdghQKD{$wM0vM+EkMx#H>3Fh{KIYC+w@Kl|^? zPjxw*!+Gs0`j;1Cw%J2Vd|iI|;7-+nVH?gK4eW*H>`*+GM5})2ma3l%cE2)O{nWx2 zAz(uaBfJLuX!2aX+lkh%Nd&J9NvTxc2}K}h6Vj8!Ca7zyO%mLU9~P4fe?l{la&$3` zNq2VBO4T(tFG`?F%^lzfHnRUPAcd>F$J#q3F0{w!;E6+Ig0s8$(Iz{)gClsfQ%iwD zn2o5u@%gy0ESJ+JA;pljI4{TEvSUa6DlTx8;B)r#a|~&aL1`bzH^B;5#$dzse|+vW z_{7ED5o{Q%7jtKF&reku2XXQD(BaZyb@3j3uCytP49jCC>|OTgZr;Et$xI23;{K$~ zX!yNdnf1+6_(8&rbT$ z>OWAL*>}e<0XV%M~ zNr3(!JY;jDNE00c_v>o8gZxS(FH=UAiSFHnjBq(lIkP@hOWfFk#RRujpj1Czbo+CT zP^nKzkKLVS7m_Kbgvkkh3I$uHZ9NiB{BN%bOKrBlVT=;}^`HgYUiH$~=I@aMb|fjf z!>mf>i8cBVNLYQqU)En)k*C-xFpRckr|BjwZ9LXN^9Jf6sVMGrM`;hF;%Tm)&UEZNmWvZ&!4&$i=eNQ0e!SmTMMdD|u`-Xyv-i*%;zv!K&2VL_erZOq% z;Xdl2UpI|2N2+2edMQ+yo%S}U^op&~`#z;OwWo8*E z8G?%_Ui%owlM~{%(xdtAu$hq?e`!~BxD5MO6NhT456aDT>;o+ecYhl-kuj$lcpQW}e}5u>qE49}6gKHbcsVwpXYAU?UAEHM&d zg^UHenh}o?)-I6Siu@LiFZvPd^HAgW?#Dz^VWvz1ds@z%&&}5TOwsAsEbsa?-W67x zJ=|fK>d;ZfU|(?I4Ag4`5oDuQGS@L5Tg(T@mS&Gk^2|pc}>gji9O7H0&eH>2){7k36T%0XP1!2&qM1 zlWB2`Zr5Q79*#~g&$P(!zHZdKVoqDWlg>husK^38uevY^I+gT@`%y=}9!E3mW0GI&p9M7WY`G}TPT#12(Li|?nO2!vc!X6pXiuO#f=Ng6!$qGGr zkp)bD&e?a?vO@ea2vRS`L2O}=dl2A>nO$>&wyx&|YMXeLS%8LtQ@FWzH?1`wA%8Z@ z8<`Rfs)hdA9{?ISD!Zig$qPP3qne&qv*cXvc%;~}pwpzHOhy+#;=-ccnEOsltNwWW zYFoHX$6bV=tD$SD16<%0>|Stnk@AzBqsy&a$){Ke;!y;a!O_KoA+KMw$|a!~t;_w+ zXjhtukuzG=$7fL0g_A=ubRGDLeqS_oa$ID^*&LPr#XY3anX_>guzs|OU!Xw#zv7>L zm4`@rj-1dP=aR(gBEsMpbA1+Ucs}mMRJlRy{OYp!ofLn;=;ENgFkT8Z6qSR9+Ot_X zk&F1LzlLJZh`5k2nz?mrupYUN^ay$cE^&p#jc&i}W}V_D;}m0H8!L|SQQ=rcmC%i0 z@3|*+A?qYL14upi_C?FIoz>RJQ-iMWj|NzbqVSXX4)|%1aQa>VsgBS;v;Qhf3+a`! zvZ6%Q2fe1@6izl|qI6a46og}|c^P@Qs0=C0mC1Aiu!I>}jHrUk30MqwL2KnIK?do8 zY`sA`7Z1rN$hQ)Vun9sRY+PK^m;OKUrnkg!uR_7Xh@_kw{mQol+t!siVG_1CM`)hE zVzZkNeopJ_gtny+n z?c6b6uw#WZ;Xaf&b3i7zLdj+yf|Zcj4Ll$@J zfKvaz!8hxUO#Bp6zQLd21f3WcN|Cj`wZUx?{`Z@YxN^ooFLWa7nTiZ_eNz}WpU*bU zqbZ(K9jkQhmNXVNBKhPH2QUZPl+Z=BwT-h-Ds2Jv84g*scb90ACYbwR*r-@M1Ekk| zKsmsCL4pfIu0MS4t=WhHsWapX*&;n;)l+aCVL2Ek$@X4U;KEehPAaJ2MrwWqnJRBy zH%emW#vE`R6w=Oi@jNs8M8*5swEJL<7pd6bD92wR`pcgCWp(fa#Z0O}!|H=-d~kSC z{nYfr&sNQ$6~K!mZeoE=JUo#tCG>vQSa1_l!Aq?i8z@#I|fn_=&=$0-_ zRRlz!5(}pP0r8-Hg0*==f0>P%H!dEVZ>$uyr9O>0mLZ z5k{g>=^^jDa$Gl!qIeE_cmJdCy5`9(j!jJV6eqNef)PBvv9T9XJ4vh-uPXh(@OEb} z0dmdZ^9;?#=#;b}S1Nzhw#Ks~=&lZ;fpWXr*YyL{Z?y|9S(fXByr>>k$L>cM8AM=?$A_xxG9yU^|%yB8J@H` zO~bJQz+#{sCXT8V<^1zKBulDqmCVJY?TPNab!;`Ru?~eAFRpjg1M+H_b25XToiyh% z=aHvxh3i4->Da-V|QhxJ$~sClT#RS5}Q65}XI;HpQ9E>7MProsXVTRA|Q9 zWNIWO{O`-+>}A8Et6b#=OMX%SRihg+@^$$FP*Ad9Z+*J@LJDq7qIleOmJuy!I5Fqf zC{o0F++FEDEbrjz?ZVMO*WFn63EdB2<`vtWoh^ZA6r!D4V^;hWqnZOu`J&qEgyy4Y z79F7Zugil6EoZqgW00DmJcPfIvg0ESH%S;nh_f&%s>y}pTv!yHkwYpmCvIhIP|s&i zTEo>6GsCj}kw)S-^LZlY!M3hIc4P2|_$xeI0Mhl%z#O~>o_f?F1bg%<;%sMOilhHs z7k!r!Nrsz0>N`y^l(tp%68qPF25~`tRO_wZ+*MGed;TUKAV%M8ugz$|Sz{?|d1l#V zoj~_3hCxPH4CYdn7L2Wx?fH6IO=_17w*F?b#-VzEro|WI@6kj@;NEr1p|YgT9a!;| zFv(jn!CCsmD+dwWoP_!XQ|CzVDIi(z^f%IFo!c*bu=F*>7G=qLvYPalhhZ;>-^_2X z)!IjUvVbS3~H7M%OgV{lGT=o<(k}HRltRU>!SrbH5ib9kx z`$B+rs#sF?c3bn|W#YK81S3Dxz;X7FZ^$(|R-U6ft(O-p4v-1yJTIFvrl}B>csJkpRxj_nf;`r>EL#2{SbJ=3me$a@tKY;w4gG0kcKVn zxL~Pch`=M=A^eT?CDmm7%9!%ywtC&X+A~tV(b!scwiD|q?@>R~N2!!kBBbh_Y zWzVyKrhckyJf~IL((Uh9Mwi2+mAX~-u=Y-117;ABx_UZ$Vb2j~f+rRrD z=-YW)7u4-O87u{B5AZd0*5Lsqa74?_lv-g=l@o6i>wyi1eD*Ew3%Hl!D@FA9_j$@? z{f)n9?8-4K&%?A4;I_A7Zu+R5B znn_{dQk8L+ugoIrX?CxIkBG^J6ti__33Iqq;3_!YnN{USnzw}9351r+oz$jZ))DaL z>!YOBKfC7^frxQH`csj7e>+wjkISUj*;`Jcg-_mxIu~p6DI&>ZY!@DKHpEO}{Fa%h zTZs{K+vb~%TVoT25#lO13{)}uCAk?)L(Gl7g(z%DS)iq%6Y6GD%xXxr#n6xhi|>J8 zM}IP_&a>bdm0fDLQwYk?Qj>AoEay{wn&IaPCt{e&@1pdhUQ6LI2}of+XwvY=7xLu~ zH{(3J_fw5K)o@8k$>K5+WHdiCm37J!(tfEb4IlW+!a33nE2#+lfn?>*xZls{(FE~< zMgWR7-BfFTjSoQ`fJKIrCgZ|j{sn{2 zl+*hQ5_z*u-)1bo@dPPj$nBi_aN)BYGW@-nWa3CsmUUzrY9f;|@ELqOaSc?Jqd{-= zgF)vX?_rb1j4XDTD3hzRx+Ozvx9?H7 zQOG~^j8K7I0)Ua(`O3MQfpkd43?RAWqM zY+dntXaqK)#@Mu6z`Q&|IXg$Y6e=_f>zo;cwr;aDEIG!Vz1L1(=)h48Feta5ThuUn zF}SxWV2o<;+*(w&@R|S=YCpF$T0QtUokh zpgm5D0f+*K`eRRS>|A40l!wdTwd1auae_5-*#aW2j}rf3i@=e+vj8;%%dDyOWDnUP zdGOB+oXJ1O(WN$Z*@UBj-(hfwY~hiLDx0Y4xAqGHH{51cRM~a+46x#c$xMlCZj4EC zKlR|hu!P;7EcF2^o+#)odA7IDwXv@{8wkI(_0rvkRXN4`h6>a? zP-6Q%3I_p)0tXgU69+D-WErbvR4Yf;Y}R~%!S31ZzgQ$C;SxEl#eoKygm3XNj6-2H z#{{(Qy+zEMqEb~P(SSS*lU0-{1gjN(P4+9r(qY{Og3D`~cT}6VB};fwy`L^Fx1%H= z!;0Yd)Js-HBl1o&h2BcnMH`ag^oQ{f7W35a?|-;0$)#P^wOs&6Ny@~?kZT>U6 zVRsk{IHnsxL|N1z1cMh;I9gQB(UB+rL`mB{K&B@>}-0@5F^WnGp8?Br? zla5UAnpjlN0XwH_&njDU@`Bll1Tf>4uvT-~U-zStz4DW+zE700mgE_~1vjkXy)Ikv z>=YN@E1Tk+K(S>1?uA&8GJ>u3@47JDOR2|`LcE3qHqF(XO8s|nzEs1~l!i{5-#hi* zqu|#ZY@n+aS^lWZwxY+!4ho-%VzlH{qMh1~h}gx)w^mAeN@nuzbE`tBwS59}!!E%2 z$QH~L(_>0}jkUkd+jzA=9~_{JaWhT?Nh*rxMs9^E!MVB1YxVBS@3dj0Fjb6VU$3uF##fup@Mu$B`Lw%K!nbqG z$I}@&RfNDUt3qo>O`ENDJUup1^!^R(wm;9t_o*;NMAKn*TLY|`GT57eZ)nCfdIaGTrhd9(SC1oV&do03H~``7)*9*#2$j{ zz1G4S$C3-WH;sLnq2=k~KF%a2p-JMg3-621VeOD2DN2nHdbZZf@=^YXhewlU|6^pyY=_H{pO?ka+CMH*%YAEk$t%G<`@&IzKN1MC=Z;Q z>2gmWXYa0y%|GjHnv|2+OJ3Rj>^e8sNM73i&LQP~ngU6K?bk^Jye_$;RAZZaWFt6< zQ9Zw4<>aVxX${ch=^EkH{)k|k)8eVRNYw10)}+Q#xR}}R{M~oXW*!_wFtab5Kereb zq&W}_s@Q^#%loKs!2I5vSSt+Q%GNhd04pzn(9;WE$siuK>kb!h6%;nD2^62o4M(>t z%43=NXrQ^N@KYz%z346pF|L=!5BmTb1S%VZ) zen^2f&UA25K4aICNpxBpxgD5u(S1TeRZ*OQR1%%H9u|W}3r)??}wIoPk>OJCN9eyLAD^rA7Yr zylr*|68G1?1Il=JVVEC`z+dTdx^K_Yfb&|MWH@;TQk4F4`}YLXgUB5B=+LcpS)*k9 z5v{{W@>a#00oJWQnb%2W)kcgK;vLn{%`a;dEz1RkI!i)LB$t){EiBI-J$cY+EiB$4 z3l2za4L}g>@qDK{5qN~)H5br?FGF86ms3($5RID-JfEiush-X3SI1PaeS_JiR(v__ z6vcyPn0G9q)8b##!r5wg2}I`rCo#KW$^PF>;y!jFMFuu)c}XgxuohP(FL~JtGp^4# zgM~UDpU=NuSi-v$gh+Lu5d>7X{(Q^zAy|=B{mLy8IX_)%7k_z+7rc$fUu7Gg-!pHb zGm$A^_6n3^Zg5!Qf|{oY?#q%?ItN?ieWL|s#B^1_?4I``uP-&9{?~a4OKIG0@~{`* zwxO*R1)A_`&;cBhxNnYPDjqx3Q-`z9IDk;Op@uMih2-@O$7%)y#x~h)sq7OyU62AK z*_f@bLk*4TLK{*eDN7uFoNxAz{U@X?%K~4A73V(8_?`=muf4iX z{)tj$gbJB4ysMV^9jcxkMyDI-Vt0d8P)Wy)Bt?-ti6C!SQEp41*GY;KrIA?4wE0Wi z=MbfDZ-@qShoIuq?3jb zg27ujkWtZ>T;A{R425|{Ygdpm9}MG^kO^P4Wz#O~AxgCl4DjU{R~=-EB6{&F_D}1x zNnZp0eg6(bs*)@)H*Vl{jF~4WT!igsd={nVrn$FR_zE=npxSGd?&0<$t0yp;k04Kn zXl(e)Kl`9h`TQEEGU;nnYz-8VsNa0?wK36?1=9Mdjo87f$O_E{9lc-1E+20{ z{v;mG^WYYr;RsR^i^E+yy+JnM9ueBXV#5Ojjm`&g@j&f~jG2vHWk+5}35h6)u^s!% z0h!<5gFG7sNbo+hA8uK%pV*xJbK+IgsY@#HjT}*Z-Pu;%FcJPXT5gcOH!6-Jc-X>K z^YYwCed{t;)#$`*rt~>JzRAs{B|POPyKZG* zevP>3;2KvvoFj=s3oV%G?d#rXD&rh*cYa8BT#??9rm&L8Q_r)>}1ZIhtWTp373RajB|U!D-1aa%ZRGH-_>JTr%ehFpNZl9HbObxH{# z8JQojz5w&h2$(f2X5)+jBc>I0aagDZD-QXp(z6_$6K4t0?ZkbJeI8NFG%Iu6i}g(q zjty$b-9{-KQ5{7a3?9V&lNhIv-z&&mRSB0I@HP^=WgTE_kj(vM@!|8{WC+dt)w$bp z#W6GONE+WC!pEp&{#1IMYl)qToRVd^oFjKU`TL2CNyo0w_l=~FV7QGqg9R{ZlsdZ2 zPq?ReqjsW34<9D7BXR$P-{PI+ZE?RKBNc&^91wUS*+>pFh5l$2HB<+q+AY5|do;ge=pN{~t*y zgY`}zYCoqJ)(;>nG^P-}UqVl(@xoZ5*|wo5$2+_kNH;O~{nT1x7@DN&B3G)N(R?P$ zfO+ikt-eo7_BblOam=MoP300gcYRfdW?S=y|MT!W_k@@8ZU<#uI8fAW;Ri=*1Sx0#xd_ z9J+(8gPVZY|0t(tYSKc3{u|u*w^2PkSI_CLQzcGX$%CfIEAyEoigV8IhJ}{PQCs?P=YcK5agFk_-B{j{;`lBy zC{i8^PId^oo3W=zR1qleVdgDYWU`xW?}i#$@gGcf<_E*DDLs&u>8gG>op|;8U%j_$ zQ?>F!S>o$9O4Zsei|Z2N!Mpe?qO?E(W^PF>tSfceptxqwQt<6jPQXum!?J%>7!uoJ z4}PIXMto%KC9T9}7JcbaP&bnfUJGIED!_*8a`QCl4*h;%Kizu{oY?(ff~VB$lrrf& zIi`oX5{)htIUdF=pX6irBR~C7ab09&le5I9;s&E#I@3O-p}CX^kbJ5ut(tYDhard6g!8r{T5GFAW9NMgZo zybOZP{(Etdz;5>W=weo6c@!bIYQka~x9sGb=Z!h~E|pPN z|HS)~{ETe(aeX?PJhE(+Vvd#V972g9o-bRRa_tDzd@;PwiNV`rD=s0z7yTG<+vmn^ zWPWNTq&*Xb*_xu5HHoNaSlBT9Z}rI$BAJ{@XOV(g)IJq2|& z@gc7vy!yvp(FB*J2h$x>alM|-3Jd^{+lU}bd?MFB5YO8FRQ zwf(cDLi_3S=pFt81I!-}TnoDGcyi-Dy19E%B~t!sPArO_b1D-mKj{<8LF|77nbAep z7^ONT2N)yTRbWpNp^XCI>>LJS@5rPf6bq4v)$8*>uB$W0m7t&KVDgN zv0hz@U&2Vl1r~M3QO8a5tK7@Mt!U5G#|SgV2tp9KZ zcH3R)G1MAv4LdPBunGr;U#j(spY8|LNhzoiA`5Em0Dc-?zXm(Q4V!lVUSElj#`W)$ z4GKem{l7jmig{H>-=Tb3L$jNj59v1e+_Lp&3cTHFHI*#5sn z=5H$!9L=06zj8`WU+C4k{nE#)$9TRU%AWntMEvbbx6P*7=m;x$08!`TV&y5OOaRBIbvSV|GOsZ;YkC%FT-RZ;DL(kaIQ1>?<Q=Y=c8*uIYava1cU+}5yMk!4MiAA9%iQ^)C(TBLKl?4Nv92*qkbi$PyB03~jmpA%|CsM?JMXKRx5Pt2 zrPIo1Hg*Jb-u#RZZc!LAG1*(MzW4s1#`C72n!T#@pTScH!-py3D!w19J=T~%7_nMc zpFc^6XmoTFgZCv)%W6Z6{{aaMY{3T8?rk`v!GNl@mw&g7&o@hA1|iY@q9!E#^EYoa zdFV`)U4LN*RhtJL%O|*7M$s16y>N20V!@S16KooY6QX8xYfiS7%qiv9i)Qa`o6)?J z5VSagcZl+Bg1w=_O{wbV-(>T8GjmEJ?#o!TIS@{_UV6zAvh+G0N9AY6FQtTB3@o z)}ZQuRZ@y^@2sMf9I3Kgn+HM>@zJB?q*j~F^u3x~j6b>j-ZA^Z3Gluv)_ajF;qpfX zZ`U8p<}Q1%zT#Hiz;s8E^dT%!j}6dWi&IObf0TIphQ89mfR9RX%0^wb=HQ~PZ%@%u zdiSLDMMT<-l}?4A!g%3Lj`3%l$njqvu4Q^VPbFpdq^L>zFpL~ zy4K3Qm0c)=sB!Ytoz6aj$7v9-jFDtii@csff^^um0rG#u18ABeVr>5ScBaeLP56>C z_!$SJAN#_}|FnhYSay#Ase2%$iAKWFaaQsO4h_qbM6UiYfZg|qCLyvA><9Q6M0NsW z&%r0Yx81~gis+D>Za1_bYqSOC>1@2FTR}ktXjQ>DAKP+4CY(xQ;aP)kHDurDbR~rRu;csh?A@N9$2|wM~ z*EHgOrS!)wg;G)vsyt=DR7ScUnXX-T><{|o&tb#X85y7Xt@S&PScJF6R>5A*Ulx1Z z%Yo3N6Dp7oI9qyd&+M7{Etya&?D<2pi{$vQdo}s<716AYTOpsd1^trw*H- zn~3tj{)aJ+o!9n^3TgUT9H(P=Y|YW%^|A=%7jXG{#_7#rmHJO-@=^eT0cw9?6re1R2FSkGbTV1nO z$_54@wPE^T^24xZTQv? z>hje*+SdP8!1nis;so{RzYg!=d3m~g3V1mqXmG!0^4F^{8N+A$uHI@m_hQAt@09kH z?`3HE3R`wzpq=Zi+&OE;uJ*oTgrDQFXC=KFDsSm)tpjc~iOpgAmj;+RuffB~XNZaj z5}wkj=9(P&z>|CadU$vqgoI}9#>~9PDwLW}Srp@4WxXpygNQxMXrvw6iz~!#O+rt9 zP);mnvD?&^hspJz(>3)@@dHctJKi{k9^05mLi)q z75v`T)6tx+9tUSn=v-UJMjZ+B$5>%U-+GFFfk_HN=qb1sPl8cFq3%?ST2Xl7Yn}El zYw{iIvZnMrj~|Y;e0*1nh<=Y(bTsKk-|9VKYq}=Tx4I#~kHAIYYa0K}(}W%8_WW6? z4AY~W5XdMx_}O-#gfSA^yZO!Zv7X{jOJ(gL_6_MH-1us;Ri1;5Y&ilAzArU|Qv~fV z)a=$TXlN4xIGlbJw-g+%`;TqUijq>sEn+3<^6|N=n@OyiF8rE};l8&-b5|VL40Baa z&%+*NGCE&AZJ5p(r0C`Uj|XpQ^oX#tKx69UL6afLb<_63(jr z(Fys1z%Xz<-_QLfjp8qqyv2D1u7nUf!=0d~mzv`Z?=UfB^F-|(KWjk-p)7}O-s`-4@{&#DxdR3U`FJBthh@(8xW90=%7tg~sV z9wv8)OZC!O@*Ale#XCnB5I)Ol8x}A?|CvbpyRl_C7A3xxPt_8sYJF7VptJcd=g_H5 zW=Wtfx`dPyjo(k7^7y;ij*SIO_5u_RcGAJ`x)P2XV%q6A^c|5Z7yG_6e?9CJOkTmF zs7|s5O7q;rfI*vc#J@5gNFya1pIY519}HMH_SOuH=)`!gu~!O&D<`5_;V3-chW-1h zx-|y_sZc{n5_xTNQZ6W`K3A*iVVc-lfPO%anC(J5AIt`|oU>1hGJ7(QhJc3zkJlKN z$7%bkC_7U58;(k!zNao-I=Kc?Atu{!B~47ZOy&t!QqE$jAVE$PVXU*b~->a44oRu5nzuzjyS`8H#f+;eiT>Uw z=wYQ@{7a7`C5|1c&QXSR_4XSB&-RK$nQ)uozqxMrJ>_0+Mbu2MyXU7`Ok^~UP`=EG zTX;CII^T8Ars9U;J>ST+@DrlOKv9Uw5sH)Ja8KQRhbvv3Wlg2O8)b$>lCIWe|N2H* zWoI~%8JFKPWvegT{^nT2ycQc&3HDZ7-NJ1z+gcN>`lZODg^7culDr(Y!ta6~y&wgm zn}f#quU)cMSqDe9H&r8eJQ4EbL>vOpNZZ599K9nu-|zL&9i)SqFJk&)6;d}U5^#l0 zg9nvUq|~s&!Z%{KQwLvD(Tj_US{@FI-H#0jx{Tf6nT=|hw9MH`7BUY*?L=o2S*YK? zKek?#o3mq^SPlb!XP~T-Te^lDs@c`_AD|^ zMKS`%-!7?8C^0^Nb2tz{h5gddjGzc7Ei?}+88kL@wAA!-*FGxhC*6lpKesU5Wkis8nC)rnur)xGkT z6EFW401rX%zD#Mg0ygg>D2sdtV=eE3rH*;X5h77e(By8ik{xTnqaO22HN&6Y`g2~n zmLlW~At123Y0s+V5QkGGPK{p1>6xU_-pxNa@bnxtpVi^9ze7JD%xz@$+Ptg}uBW7y z9_f6+f^)XU=gN(NQFivUlgs7s``mbcokqf1Tg^z2Bp+ zukU?t(BBn&{`}|p=Eyez%U1RaPkjNe^AW6T12H)ClU6zY*2`8?&cqGIZ@)snUZiE` zj}qJe57)ffmv3I>?C4!ugCd8!J2?Yv62*$25kR9O4#05;rMr(98Pjnte z!bX3huz1-8V+*Oi*~YFwhsBSr2Vtujn`#b*FH(zN=aj6GwmAvfBfQl3Nd^brW?%3r z&W@kr%Y9!4pxfWczkKpvE^6SIu^kmm4z_LQSnPQQGYK~M{Iq0l!0>6v$1QIA{Z82W z(g(wB4|X8$|B;85+55BoTuEF3!KB^W%E6X{y!qg5M6XUGVRQ-f=mtbhvvhSatqipw zf?+@{2a`9f40WIb>>eahz-5=QnKr~g1l4VTFl8;DxNQa0fewpO0aW!0C*!BcD|s}z z5!2a-S5~Pxo6%d`P`PbUX_EJ?2E>L95Z$>XU;TZR03T&pyT@wUQ;HCje5>$&CiL^xvy2Ihs;YFz9khDZ z{?cER`E5U7QD-KuTe5!nG3zJLZcV(uMY53JDOkyP=TU+zc(h|a%@KCm?QHGJz;CmTW=Ile$r=zjVhUy1)u42oQz=;I?T|CCxrWi_%xCMM@bZ}a-~BAV98#fcki zYn@tkS9r2e<<9UJrlAwNev+rwM`-IR|?RAeX_fC~VI{eEe1Jd2Z4xt>@)C zg%vV#GVww)6PY4ZWEuoJdKyN1zd_2@!Yh3Wie{{k&Fer`!-Vs<@s);v3|zZL(bKW2 zu`%~TDM>B!fWA_ks-YoEb{hOU5XNpJr4-(I`+v~ypF;Aw*wVO*pFQxii!_Yq+KzVm zI@urHk0^*7Y_C&Zx_4QQh|}Em%#g)xkF2*EKpP)3ANe72OVgZiuqKjwoA=V2>1DJ$ z%%*i&05*p=@zRDJ)(a>%0`V(WpbAz+MU+5SL97B}5bh@4wx!N*A7Ib=Mt5Qs4uZ0C;#zCuG&mYC$=`IZ;B&?_$};XQ2~uRE_mX&8)tn0gP^Jp&tF zw3_DXc)umU_tluzWYL&owI{$@KEkWAfRemUM9R@z>4zKR z7G8H7H;Q~E9JsdlBjGy|cpW^AKpQgF_+iRiwFud~0EBuRp@h>n8gJ1ZCU*IQx z;wK(?UBzmVpF8n$Jjg!);JNna`1vP({&8(807-X%({_=PAcN>cGIS_UfaJ3>V9wA( zEnI6g8>Vi*N<-KIAtdrf*ThFT}3U;ox%xB1MFf0k`W-UR93a! zCI*AKA%?S4=(-!bXrSrBnk177RTW*z(B-*KTHQn@ZO|rVt&F5UM#(JFU%G@Y8aVu0 zX>e>rC=5b*6mMymj#3{7%Nn{POu7^!Tk+y|+Ge(II6q9PngY9**5C%BrihUr1+_*l zJwh%cAqooPLXb?O2d{ncaaIKv@xVUp?hQopxA9g+aTNxMm3nzDmn0!Hl1Q&#cKNdG zrr+j3bp)~33apa@Or@qcpL8L}6?~NxO|}XzdK>v<>kFW1X!YCFFb%FwUFAXDc63u{ z6WbehU>NWqwIJ*548z_Zt2cmt8FB22)!g;ouVFTB!QA@k85NHAYs~QO)i>!cYwYga z%HG&)z+;#OmnSdHaKg8Sx3M|AnJbgm=*#xvw*`2r@j2vDjdjiY>G0Pp1>sHzbw|l~R`Nb!%^VOUG3*Bxf;P2pvcm5+{ zo>uH;irz$#O;O*RWe-B^01Tak``>_a#?nZB@E)vx9@c*dB$-&q#gX-q#mlb(?`K(n zSVs?^*nNT&Vgj=i96qa&by^lO{Qxq9R<$YIV>MwqJ|NBQZ!^AAj`{fL8RCgJtq8cAx3j7J zLrAV5ojjVY`?rfDem`@cw@?2Hu0n#s*k#;%|1pi-&pp=4&aKofZl`Vo(B1)gkf0QwozZ*Wdl*b{3e?CIce>ybJ~_yCks2xC`B_h07zSRSD? zg~uooFk2CDqnkPdxd-HxJOTn8{tg*Rovi*GV)ztig0M z9xX~o?H+;DHNICniCs{+m0ibM4}OG1VLsQfs#Tb(Br!3tOHDL7w{ojiVjwZeT_J%W zhHxr&K3Xwot9Eng+zCwa3>n`>GTt5rD!0gK2>{w$ThVhNZV!$=oWm-99A{)dofEGU z%H4+KCAf2mOkgWleb4ZvUgMFC8E%dD@z#}bR8yqU_b$(F+e$|yif(E=C|#kTB@qy4 zcWp<_y7}tOSIDXp0Ql%Zd=RIp(nowKP3sYzmd<+idpY?y(*OhzM6~=AXKwVO<= zi$4Ucw<;53S5`ENNmi1)@!$ar*z{(FT>|fS^7~fb zB_3oZ+1;{{JuPc%7C(D$j2puV8XlxL*fU?RJ6%n2YV0(MUc)VWINEv?pWQc)zBe({ z%Y^18+8Fsjf=$!m=c+frP$){+sM3v0n`uY5{S~WH6==8Kw|@tWNRpK#uRnO5ep%#+ zKpS?YOf`N9is@BXc2VfgW`gtQ&$DgYwiy+TkA3W8y#D&@{Ll~m(3;j` zzdp*jyZ?y|g3M04hyBg_**IBd>cnp#ND_z=f+WuWElVJZtN!~~d4j$|KMqkK=GjC` zM=O!49-6lxG;IdE13?r)k`P3ZCp!ZC;)geIf2xAZ zlcnmoi2!tXV;qbgTqO0>m+9lm)D;lmaQiNviM_x;W|H-h)`x25R2WpPL{ zKfLRsJQXYO<>T-0(lZA+*txogX;rI|G%w%}8$`+t_+)`jZv|O|fm({or8oewYLO>{ zTaYCiNcGvOuMsxANXRq@-Fug+EsReVa7qox;s#`#8+%j4&kw{?y-=rOmR0cgsOlc$P|hy+2NZsk>i0lN!ctRBGKvDg+~t2o4-g=Pa`1G z;oeTM7+|oRz!Vw~vjxg`-a;$Zb*<;R!-aYv&~0VD$FGB02Hilf6%dP4q%a`_gg7f$QgdRTzMSXd#Kma zuw|e1^0R##_>G}XD|lGOC?@XmaBkuPZikcYT}6C$XmB??LN|MazqUKLU)aiKVVI(A zkV}aR=%z{77vt#GzlURmdv!P;XDB~Nr+@yq^0Usfk#D5x37|TxN#Nh2XgdCm z9UMFM9Bqw{kBhAt8s{g@6EDWW;U&83bF|w+)-@czY?(UgHS2lw^v_#82;ZTI7vr28 zKZn!i#O80O&+emBu;FpGg09V0cB0!YY0))G%4vqi+3~ZCm&Pqlc++0i1s|WP)^{RS z9UOZ+9zODskMNO?d<1|(p}@(LCwb?ccliA0KhNhr_c=Cf*uc%3Hy_)^z4zXGeBldU z;L@c_jE|4=^2;yt(n~MR`_6Cv=5O+aFMNUV@o~0o+s1$UZ~u*_o_Y#^v9Ymv@^Wo$ zZN%g8HE)M$N*Ja{)il{8^$>P+k}Oppy4>s6;$$j1jeZ9o-LW+P%`_ohog!0BBLM+N zkcdm149qeByu^tUWM)! znXo%Ti!Vb`x-%1;n}W!Ab%Kd%0-q?-=xL@SXlEcjf-|pRHcXLi8L9{H;-cSWqsq1P z4Jt+rkIl)R=sx`8B?6f$Z8;m^oI!PbV%{>-0sP$GC9TZKu@mT~K`z+NO}~TvqJ-NX zXy&FnMxd&*9lLouW4{!0Yu^C_rJWZIfJ>Xt`@^|~L$;~%L z2vx@L+D)F=)K09W0@6JmI6Yi46%0wH!`H^XCaVlpRLh(iJAvpNa z3Cm<97bl%;qF9-tYG~X`LswNNRNwELsay1BEdB1NCu-^c3ZiB4og2nXPg1Etz9OL4 zvX~_o!g84@QM9N64Vxfw3zGK{@>3jDZ%|g9Bx(`t1syZIx`syqfuNa3E~E&_VV+yx z&AxSO3=*Aw2D5Rt8hr#DX1x>t-jZ^G-x4g7>7TmyHAX85T;UG3M0fGw&JUBWrXQ)B zeXi7F6(_e#707F}R?8feL&&{vE^C-FoR9O1U;hfJN|L6!*-Ow7Bw3kaI6sVuiQgV# zU9g9*CX$QB&Xy`jw_m1^E%Ev(A0L1E&<9^O_cp@D7p>st`bqFKfv$YZTnST3oZjMD z3^eS7P|X?zrLgMYxKL5Su#!P;Elb1X30kBf`dwij7!#P7_~Zt2wuwWbUF}OTm@{^$h6yyS^1&;Z*z-$!c=3V$;SKElYPv0%xPuw0G?Wx5+1pW%;WJ84u=Vc z!-PU1WLf6UojZ?n+bESv?Ao=9AOGTh6=!pjN9w3SXXv4qDRpyF)pU;TpV7V6N?=c z5SYjr{K3f~Byr)`CI||qpjq2y+QF=$8$*Z~Na*xUDD)PfR_>yDlml3 z2u0jf1ShIyAekx#0;#-2HYd~M)wsdXys@ih5|ttV4k1JWkqgQ=#e9ZlQjFOe7;b7N z;95M(RE#QFbsPg7NwDLzwQyTVP*HU5CyG>SHI84oOKZr5Q(m4Utr|7b+BmvkU^ivf zOkmSXge4D>ROXs6X3YUa0aG}IE;}iBIw-rE$t!Sg$bnN2Bl_(a z{eOjI2U&6vb8q9c?FObGVTvM%A{Dd5Q0*2f8j5bGrZ*uPCCZK%=cJuXCWZ-=hY*A$ z+`U7|(M&3^jhcP&iz!=nQxLnjV~gQx-O1nIxe1E58BJU#SDm6;v=QhyLQmr^1W_PU zO>=7O6ji;7CtM=rQ_(6mygrCF1TamLvYzLGejnA}fL#gDql9tl0;C5ZAIJ2!)n$lG z+;$PC&4$|{A)4lr*Zy2oJ*~uheh9IkA!mnB1siUvv=(ntb=xR8n=zMoVS!1ymZqp$ zR-JyqK}j(2OB#}>lhE?CnksfdX1y+APG0ApprP2@*d#kW!S%RhcYXUzTsD!A+lIs8 zL5Xx?NNFqhtz@kqR}eEWU&0Mf6kLrcnRfw!2C+y?tPn|_g@B6_`S^@}cbC7DT@AYs z5Ueq6E@;?`My0ZB=TXJ{QL0=DYWsrT;Rwh z7{6t$t8w#^O}xX|VFr~43}=Vw_#n!~fiCd1)8GFZnW<~Yy27UH6z%c^TE(DAkTLO5 zk!ufK)k0Kj3U^c2DVW0q-8Q=0pJsPpJxtz2OZ7o|(E15=VYciBr*$u#7(T&xX&i^- zAXQ0`DQ78E3yhU4iciEDrrq0)p&1w~R^_Q?69|Ng#FF1OQz z>=&D<8h6pP8bL>pf3klgyPH?X!@V++<-ffR?@cvxB#>cWR}F`41ZVj?>s&!x?MK+& z@!Ya})p*v=%Qi0$vZHJ<`|!#J+UR8%zgfS&x2!n>3U#;Gv6B?kx?)rG5RI-zR8^h* zQp;XOI*u}x>8D8$X%Sp7d>P_5F`KtS!{!yoeqZMsX0~PCHZ6hMsoUJiSaDaEzl%MM zdk_VY7FWyc^4?b1&;pqU2ou+=%FfVP7`uiU-DPFOmpKPTwaBUXDT-PVhv?u?^biq8 zy)F|nhfi4LmFpRo#niz;3!Nc9K0hDhFUq97w9> zYJh;v2qGC)7Nn#>M4P}bR1g50&5rI2Q4?mfBq|lkLIyCAu;Vtvi1l@sG)PpyCW0tH z&<^fpreG>n%0jxn9vh|_Az6`-MHADO#$~Hw7r|rtXwVhhMzNj|H8BwoOmilCstGca zMu-PBFOpovl+(Cn6PIYiZANCc?_pyv+-}j-@Ecj&MiE3X1%Zm>C1Yzq5uKQVh$#xF zYL!rJ6q^i!DB-lD`k+LS?wZp+Clh7)uWkR|S z*XVH~dICuh&_g}oZo&{`@~$>=&Nj??fTf!{543)AhE@9PlshSwn|N)=MAtI7Y~$<> z_tI@w*iMA9sd7_HqhaC_oOC+(qPRL|9>nPyoShUXYXV-IIkVl8UL#N$#9N)1$$*#b z5wh-XRCzW?E*H|=86G2~Cg_%@XbHL)mc|(sRR)|vVy?Yxu`k`NT`r`#IWk45rV^Gb zJQd6na!E7$ou9McOF>URpm%5ppPr#doM63I!C`k$b~F$VJVD;Qe9)P$!TE%MUCFSG zes+5Ecx38hw?B03C1IMll_`Sd2iWwowT+^koU4<9vvuZ}XN(MY3*RJE?j!GB&j#Of zgv7NsudM{bG#Ju{Na{&M(_ot_u|cUID>+W3TnMI4)fOb_+cxifJ`6?G;BIY@ikPC& zX>vFiW3y{EIF!SW!U+T_eCyYCc)Quu8X>$!>ZeOd;#4zK zZ6PZ5we|X>YmieQVCSLZnx@H+KE#wh1wd4aqN!dc)dEqQkFHf3DI*D5Nu@KofMq0WrMqgC>v$& zYxhx26`NpVqr4HfxVQq4)Y5z@-iKz?@Jm6ugccgL5|Uv}=u9Na_6RjwaFHeT<2c_B z!`yoepjB!mCa=PT%{1`VCJ2-Vk?Z@SiB7WaE=rE*ynQJdCGKnY(M%1yU}vMe5tsPw zmuy@P<#L(Ne)hAEP3L&k!Li@(r&KD@($c~+&pg93&pgAk&pt~}&)Rfs9~BFO<7rpE zzxu1c;!~gc)XevO`lo-It5>h`?z``zX&PI$Y~lFv<1-C;XV0Ep($E8z&K$S5w{!D* zTM5{#n@>YRYdwh4va;y@TelNr3PoHfxT&&DjVbdd@aX#c>*x;$R1j~F-kRqt0QTW$`}rt zMtj&pPp|{;^s&(ugyICkT!}A1w3@U8fvRe7F?F9Q!9cP%v7u=lJ)w?8nTcF2$3%G? zVBXl*MspOZ8h)3JoiRVYxg1hWK`c!mRI;;&-5JF2HiPV-P}R8K-;b@9!E4tMyehhA zAUJ%qgg4?hOoZYjQFSxd8+iFO6ej;*s67dD{`i zIs0H5Ruf_|VJSBN*&37tH=b}a{!nCwvVtfg$g=f&?q_p;4-MWWm!2fl7^Abj6(Rco zK`SAM0>}=`h8~n)J2$d-$Z17HNoHH)PMW;U2%^ZB@7&?y!~oF{9BnY!Ye-D#MJ`q2 zn4(BX_HfA8fnBzN!wW6DA<_eaSkJK3X!1K2XIN?lgz>9ZrhFRVZp`TJ8M?*Lz&+l5 z?_CZY+{x|nzeP^>AtAD}aVMRz!7PAUiRew_BF( z%LJB;lac=S?0hf&y$5wu1?>_c)1Q&m?l0g{1ijp4SbZMBB zUgnNj<9J-eZSzr5RJwgz2s=Zxd)sMnJ-kzZCz?}i6ypf>q(sRP ztyh&62am()GGgDGblY>-Z6e#(_t3rb=wmzPj|-ZiabfZTW2G?wb~Wr`eQ<4#f(xOl zDzClq8iAbwrfO5xH4)gzx^m8<-%N)eb29xa!ZfW6==jyT9y(xm*RSvOD+b9^tJ|0Q3#Jc8fuM-(LXH0`F%+Xkg1LTpJ)E z-{;qUXgwd*YJ_zIS(L0`%jSZ%C!lTrvg`SqOCwAbYpi$Vc)|MsloG0Gk`{D|-bVCr z5ADHqOI~zu-JW1PS0(0`crKi>Oef5Gmf01yN~Q}P+DsivQyA$XP7Rf)>R^{;!Y&C+ z9Sxm~SVFhE5S<}Hju6aiE-D2IiuGV~$u5Gz0gXAs{@`yNOiFSJckL(6-6H|goE;opy zoI%&B*d+%@c7lytaJZxN_4N{J3zMu`S(|_(uxRqJ-1)vWQL+MMXTaj>u2Q{L<{b+O!3>f7;TmT?zG<{;YJ}8pmD;!?4Uu#;;iojKG9m;XNbI z$@~EB(FZ&qYUM!l9)gYl_*yI@1aH$rR=hkOs#lvGM!WDwmI6bh2loBwnv@sfnF_yu z{v4%>NV~t4@893HEbq6hmN_x-D*41MGKF!>kG!-1>tqXv(@)~zTX=<$vfxX;fG)N5jq32Rj8^~<@DGoGPMkn zAaSteNm>>(wXR8>#Lysd2VwH2)qDtCO^6$|IsK_riiU=UZ+&q5?Z$G!@#)j2IdtgI%=dozmw%Z*`IA54?%liZd(3J3=zsQq zZNz1hcwTR2znX_q%6b->VA{OUdGz7#W2Ql6;u@KW>!8<=5eUm}nzk;o$u%;=-0B;!0whBRe=Dj{C0**rG*l!c!a@Ma-E7^c_25f2stn}s zkj$&N5D_tmIs7y_Tom;hx>f@L9Fh~KGiU{33m!1pvO@n<5i|vl+eJ&zMZh)v9g|!w zN4fs8_S(Jp<~YCQ$_iuo0+KyLKyGGRYlN1STyNAe6ecjLS;mTEqzZAeY7ILQiU2`d z6MoMIDvl;p$wfh%qO4niherzGv(07{vt@+`lR1214aMfCEj)L-7em%7xT;gwG%JXz zC>r@nfr?x}lVk#J51V}rI0YFKm{9X%38RLZk=QKa1dRUYxz38>k~dVHA>g5Y&?Ocb5;Lbr&?O zx2gcs%dOBqF#}zLsk@ByzRG05>XmTn0uy6tw!H8Y#B6TsxiTHx1==i2UC+|l_T{i@ zz1r;XL){ct!fNbgbF~~N;wPwR6_Vv79>c(u9$+MX5e${EE6n#i^UE|ucdcpc!Kpl7 ze*GO@`tY-KHO_hYR`W1^6;l1PpM}?1je+$F$MkkbT{^L9|6@7kj|*kB%zN?oDAZk3 zkF*}4afRmN)uK1k%P*b&CE}?#ZIL$q<-vcswDeawZ3W5MdM}S4S`)&Soz}BqB^bKZ zh`JyHO6wkLLMjN{OW)&q@;U%*-ZrZ_cZtbnUdeNE^du#%gi~_T6YN3JmF1g9R~UPg zW+n@dcD}zkbevy*=M0&Ah7C;{c%tLj9} z5-8k9AA6fynbX(|1=+Ta!1|xW7Fk_Z`u!@SlygaJ_r5|+GiZ*sap33+w64Kn_i+cu z@6*=p+lPjR1|&&hVq#+6=ZQq(u^W>J+dBCEXMTYvcD!JH(EAp=@vk8}glX1*uYi65 z^Vl!IrjKJ92I%^{-xGy6*T&r#>OPt$d)YpA2f0=PV*s-@2^~*iuKy4SBBpMDp<`;g z^?UmN`W`5zFo(}VdI-}fLFPQB)(Xu#F&#lLbVR9z?d3Qq1rS~2!#3hdnU-)Tu4<9C zat>L`fsupq5QNuJ@HP-HrDzpADCPv1Haw!lRJn|J4Nf4;0I&Qnf zmRA3aq*+ldGFnhE15v!1LW?OOnFf#nsSLg-`B1<*XNra{rKlPjE=i)v-Ase4UfJ+9 z&u04Tjd%zmMy`DfzS*!Bmi!NykJq^{cV(q5%FOZi)}X!^{;DJs{g-ecTUS=X>-)hY#ex`bvb*hLpTo&z|g#S@1|RVOh-8=1g1^i+zldI?2prKf5mQJjQT2FLG583iDt zNMz|^yK4-yG=+NSH7NId+o~&nXEVoOHRSEvw~yca&EK5)Z0pvoeDaf@;&M#Xx^E5(T@S*=dY#c33> z*d>9skc(g-WF5K+5}a~P6~4%ve%x)lw9kz79&U7>1N4RlUH#x2@uw+E1H zE_6>L1BvTMleb9;&}u>;*p0Vg)2hd|4o1$pj_lrtXJ8j#sbik4Wf?DyS-fYPmo{G; z5`yK1R-BySI%9K@H|-3S5~wy2m&;3ww{>ZAhw033)oSQ7Dj9|oS#-gUB05k*8`fr* zo4QA~c$c#2p+j`g*twNR>oVG#OJto(xoNu)x~UT{ zj8dvAi$pywgsKI!ffH0KC0q^%Qn(ZRG3#0rZT0h$nO%u11m5VpYGDkNvm0c z?g+AMXGilcIz>Ce&A-8{q!4|Lu;+)YNx^C}@K`+1S6_XVkA3W8i+G^(P)b=rUT(zt zzaU!oq}>aR8|Mdk)qI^=Fo#zk>9MMbtDN9IDke*loE|%kW@-fN0glFwF5=+c9KXo5 zcm55EuHb6j$FcqYl-5AkitC*yO>k!H49RMeJIOnw$I|TIvY$_H{PgOA>%xR3IW~U7 zdOzwli0!kqh9eKjBx;H!xA@>a&JVoFkX8Usn4JfInoXV0EV;lI#*Wqv zrq+l#V{`W#)}%Pl3eW$$S^DKN=Uata!mj$WWEqLZx%fYdR#7Y#>FetQV9%aC{Q9r|I?q1)Ea7mNj*bq#_{A^s zBR}#Z{Pu7EHir%!;&*@dclo{F`#o;my7gF8Gp1=3%Ld2OxcsN^-hYPDbeFUM4I9ux z8_1?^GZ1cPVAuE4?eAhw)1LVpQl$cy{?M|j)#{}gcZ5Fs781ILXvYRx_kMi&v9p7S zx4&%h-oVPp#rE-y$uJj^cd<2SY+S#A4qq2L8+OkhTUWVv8rvAqq4Wan`72;p)XVd5G>J(xE!0TH3z5QiXQL^g6IVQ}{RIgT8Aj*VM3 zaI#)*wTX5Pw;rC&C@z3$7{pU061fsBJ_oIS$NUVuZdd`iVUR3N@;7(?iefE~OK|Yf z&JWXJ+R$%)9kY@Kdys0^QLY!`D3uJsT#_!qiA%6s>vK1Pza3Mu#>f<^TpCPKE0<_7 zQ*3sZa7kDb0lN>pE!KC9Wp0;h4sHAzqEbS1cu||SFr;Kr)Do3a5=pCK7bJX=gP1*t zh>2zzq^oJFY8jz035tr#>BbZ4!QrUi+zy`=xGd2)GVd}dE0h%-uk+!Piia(mtRzX4 zEhoN!BS5RCb$$S0SX^gHQ)sn3gV_PfhJobt)7kbUUf)9+Pn4oXhslm`W4vUY56Oha$J8CI{#R2T)38-dqpivZD-1a_6#rcqGmuXs5 z5v@u^(ePF$P?0Ezeqt?Af(!QBFf}sD7^+!AKqP33;*dP(LqB{fDqda?!c-8_|;-KKg@-R3m6zQxtciK zdKlXRYTrnHgja6=Df+-Wbla>-z|QDCIyQW4StE(T+#r`GFJWNN>~1FJit+04SNX*A zpP)0i#&`0yFT&~nX*~l45jviPt)Ez(iN%8x44(ZTToP0c$UZs_{*+}azW_@nuGZQF zyTsUiZ~qd5YMw5^L09+l*0#s?&GrdZvIyf>AUlL+SVmP7PCvPDH+$QkVj_{@)u^_|QFai4g)#?X!-htHk>q`{IM^+{>rf+|a?khUVF9 z`<%v2T6Zs5UHLyMI6i*-IL|)&?4r+q^hbY`Km5Z#1S}Jf&wu{&jE|4AefxI)>wo>P z96NUGeT}>7%<)2;`5id(KcJFES8EuCiH<;8@NhErIka8>boph~3Jjfs$=ghoRK8N$ zhK59wkV6Qzp?X%9X>n*d!j&OhdY*hu=Y~x~wdZi4fUyBdoX?3iG0^P;7*YZ-@KybU z%1%nEfMRHDmHQc%9GDRo9gQDC7OYaDU>Y8>duz~CVe{%azsOS~^Ha|bQ z{YPh;Jn9+qoZZEH#X+ii6}Rl>XzVBf!>pG*2d(c4g4N;NvKt)U`8T%5v~J8~@0@0v z4y!BL8JrWa>$3rTdKfc5K|!{2t}skZsgNzFaf?ozxR2gBUzalFCFcXNehcBn)&! z+zto6Xb)Q5oIx`bGU^z*sUji~vbWAO-e$`RlZi=OdI6k4Lct(WF^faVGTqCd$bKr$ zMg&Y;)dV(edNM4M(`^`q1iD-yCmXnZL1GPEw1j$A#gBj7FfmD#CrMROXof~jS8&_h z$f8WUuN}Ai_>4MqL#MB|m-QPqEXi427RmcCblQ5}n5Ja`-LMHfjf)#C)iM;uXPYtw z5!?|BhZ{jxz!gC7gclntEug&2{hg|4WNSJRzl(-|o6*u3{ly0$iZpqnY-!kzB->^K zbxC5dILzJbeR5iXq2dTly1_c7%)ZbD0?vTdP}{oGqTa|hkR@fLrzl}C^7pExWZa-*IqGYGVM{eA_e4}c17_R&oDvHw`@7lOym$HL=QZHU{a5*=uYZNSUL%6ck??^>j(-8|_^*IrU?5^5FkXhWK*X@tdMK_F!z1)XWgQy(Oes%t=5ZdD%N^U6HodM zgJnAz*(B~Mp!r&et$UJn{zKTsrAtB67*3U-_jS4*c^tCH_DvgEzw4=a5;)fq*ZAxE ze~oIYG`X7i@$ElOXn|wXbXjlNa$z}bmF?!1JsUS!1`qZHFVkh4ZFVn7Uzi?SF%+iC zQ-qu$?2?_G4LjKs-UQ_|*@18JVE6<&Ixf*cx9Q~NJ2kR32>RRz>z{{Ew>4qPjaXUQ zX?Pl~64M-R?qIUWo3|$kxa>G=BD>rCbcWmrhF%Y(^?D#}%=vA77Ecv9-J8H~7t!=0 zjs7Y@mrjeTk&rz&CkQtX^!j?t+4Yr@air1XM5v$$0g8?L@c0`R1n|~)nDx(ei$YV$ zr?5@kCLok3OJ2(1EjYcabN&KIUqAXM*ljp%yfhICU!~zko1E0%jWnZ0*XwvfB=~`--*35Z)l+lsM zxjT?NVN5}$Vvjt0?5Qd8*(rQxnTSvz=GJKPJHQ>G66$6|FQ6MbHpxbZuXA2ke!ik| zE1qQ{nW3dIJkt{})4*7nL#c3vEWWs*Spl0;qFOF8k{%$B3W7vSAV!6%4*(CVCR$&Tr5X2MiRt63058az!zeXR(xi~-!bbC>NqcOcnpv&uAc z0`bL^8SC#;wKTUc{6DBh4L!P@gKdY1l#-xVEX5m#2O+u@B0crY{etxt#t_O=5NJUN zcg-l$7^cCc$x9682Lad`*~+%a5{-h7h=29ozvk`BlLSoxMSvr|^=$QbSoEyv3V^$T zvNu9sF^+1egpCRZs1Q(dDCt46xf6^?I=UmkrtTMc@#%k3my7$(#&AB)R5?MTyJ=0< z@CBv7%U6E~_0HGvNIvY6#GVZwrhCixS?@fso=sy{AUo&1-LSs?-uCd$t;@W)>%ey# z^1h?-%+Dd$vS?@iA7s-20oF;Ath@FT80(&cXMS--Ze`rI2j^?=kX9rbY-L{B;wRQI zis_4DwCn-*$|CUZp0M*5XWm599Jo!Bm!4|o*ilRFuBO*GH*tn+ErcjEu&?O=Epz0I zzVgO9{PATkqaKBWC7s=_4D0nTVhU%`_WT&MKRIWlonWX4Q+E*)w?J1Jn-D16e3wbP zN}H&&*{1Q4vW%_C3mZQSw&jDDc(%fyR*up?b&GA{7$H4_e(xLLYr$;Y%c&I_7ta9ER;SNdP!(&Qzg?kK9M(%@>qCfe8^-A||ADk%qtAu)n4_B6u24vVV>Ko8XFGv~}OFapA;#l4H}0=t`dwnC|< zF`lc^7IyKO10Ab&Wr}AjO!)e^lNiP07FoYF$cHxUr`@|cvzvIP!fU7YlgN)F2U_{i zk^QUUnVF_ZJXz$g-+7CC;y$6sdcOD25n6oq*^Inl%=}*1;EJx1$W|CUagD*rB0cR< zp4ih$gUbeUmtC}+^*dXra_M%Ed@+sPPYQ<`FrHbipv=m{M2vqZ7Hlu`l2iWM|1H+ICs zwfhD}NyKiG2)XizwLDd|Od&Uj%jt(uH?i=#MJ3{(+s?LF0I8B@bE}`=v@(g!X_YMJ zHcwVFP|I4`u27eCZzxw$Y&tg4O{?Uj$=hJP@T+<2XQn~-gVjXUO`Xxg2qm>dO|M~^ zmMo-8cG13&_x$aKGhn^Im7*2gnx^&4(P~z|N-44UeA~U&^QD%DiCfkLMRr-dR;{|~ z;JBvhc+?brNuf}_MLKE6;}6s1?^r}{n>*P6<~7y&=co$d3_&GrQKR%4@u?dW&=DK~ znuF_z$YIP%6%%VhA(x71$t30)CKQHgFgS4$TVe{YN|+U$A-laW%KqF$mwl!yh}X>eCbOIMc+(3cP77ysQ5;PsI=5t0LRGlWAD z=#t!g#uH?n+dfN|!JwcIF_au(oi~CW-Odx;AHnVLLV1$Gv%k+B)q$dz98gVm7*)9Y ziZv;U?X})t-+>s;$N8n#USpy>NsA}SzUKW)_ns_3Ny{=&y2ND3;J(tzCZ)nQz;}O) z^zffjcD0ZSY)7#NfsLTFTJOSY1|AH9Fv_qb^V;}3k9B{(gPtJ&o8iO1Y#rPOr@-N{ zvIn&sV&6Al@EzFrQ8@PV;9Q&y?tJo-d{%_X;rlelx@c={vr2Q-1Uz^hg6)fvp~QH%(M5yn z0M~M3P%>cjZ@_yJx{fUTAPiVd9^aaAKd+Os#=w>Gt9B}V>l!ShguI2^;pUib0viu8@I7_#}i1!1lrx# zcrD+BpgAz(b}F}WScK=f*Z^vaHEXV25oeds7e(c~Q@yu%W1n-nbD9Cn#>LiYMa*2nj07&(p z`6#IdPEU$JgF?7DfNN_Pfwt9kR!0EGLVlcK8E8;97_jW7J(x{9AkbNFKD7e(h+*JJ z6-nl+G`JhBsKo9`&HzqwCmq>?BjD5^_m|of2p|W_}#f z4=`(GFp8Ll0=^igD{QS#*FZN2xpeky-%PPw!)Fw5C{tug6XXk{*wiZCib+TxK&+K5 zon^=TEQ-%56LK)$lEp&BZ~`C)2$m5NqH6hxe|9k0zx?AyqDUI~NM9QQN#*c9GG%-aSLzhzcZoUj7k z>1Hv*|9Z4W4JI(RjVKiA~A0(KGlJq%RSO| z&V_2ITuWR-QL^j+o^fu*F4+k?!!(r~6btufvh8K9Lavs>hC!y*Ee$QG)hg-hmq56TAbu5mjaDYy>07J`FRu{5FZ$jR6M%)ZoE7Lg3vn-f zm$A|qUb~M(d5VHkcxZ5(Qxgo9u416$Frx^iPU0?&vf!l2t`HU`aaYE1SH>y2+eint zq1yeHN=P+l(PwITMzXglYQ69KJkG^;gX1MImvj8S@Zn#c{kNvUng0nl{>qYAyZtis zz7AVI1xJ5oQHH7QiBHltm&p*_UgzEPTMyFgh{auN*}Y^I`h{m-;DtH=&r~ycGv7SP!6^e+9l6bU$Tvx`Wl}9_&O< zmNB#(F2h6=+9@@}hu{SxJ_6cN4@B8$Ec^{!}pdpN%gY=!cc53%bX|y8} zVbL^V)Arf&UuFnPwyt+kl_8gXKz{Tr&0SC9pWDH|gn0)}=c2Kv_s%p;Zckq4&hUGX z8D?EYp(itrP)vcdj49uZx{jtO6r4`HM~)x~!s5*Q+{}F`4T)aNQp(DB znl&1GwprivwLqY&o~4gMt%#W!v2@_IBBbwQIzm?SYkiXWei}ysQl%mTxgli9z(m0& z$=F02K}V1lZ|k>(_xv#QX9sxmZXY^21C#fOx)hvsikv_MkDkM?rI5@5kU|seRH0YE@FXc1#mIHRupZ1bnO8&#J03UYVq3h=g2CG<$;tsLadstL_GdD+y}4HPLAE zwa>beE(66-7|su)$TmcO8|{({PqkoWwKIcIbXk+5)vE1GuUA(XE)1jSH9WG1w%B0| zQ^%|8IIH;u+4d+jZkbh*Svd9_+FMPpF;W;t(G{e}%txM|%Lt;waQ0lZB#bsS-|{|<8V77TaD+P6ZT_LM6@e5gJF zjl!cSYrJ0wbu*^A0!>EAq2~H{sW^r%m_&W8?3N;ga+6ESKO%}u)~4vsKcGVt2)ZLQ z`MP=6oguI2_}xwpcdVn?wFx18AE7t~<|smLtRDAl17{P0+{#Ge8j0)g@F2Z*dBzoY z@w=SkOkZ~e9gw*rv^KVfYH5FhU6FJC{- zNFqm9bC4f+@o8cmJ(d|k|J%^_)~xNPD+n7uVr8O5agh|v_v~)uo8y1YKz;zHTH}+h z4tCoDGh>^P^=M7oxRAX=yg0^iy1=P>8d^mnCRh2Hb+C21#2@Ui0*vKKQuPK7N>f&# z-_T?IhPrm}&PBnzW@udL{|3tN8LFxK^k#ak0K?PBN1pyAx;u}d8#?DF&NEsZ1(@X? zFBrRe;ZGR3dztpldy)73@amky>XJwC!TWsa+9Vm(Nkhobr$6>F+PYWQWqf|5m!E(2 z%T&}nUR#il^gKsraP{1_-tk^MH~tjO5UE9)`QDFzj=kM0^Y>PDt*rv_OocC97~;;I zTfEq=@nW<%EB*7Z^Sv6>4K$dzF>4p=3e^MERdn8$QZRPe(lmuSw|z6C-Uwek^Pg}h z`>^}lc<%7e5p7;zNU@5s7jY*;o7sll3arz0x4lZnTFx1O_JgqPB~+Vl?M+hoafn|+ zo4m)DZe*;IcCZ7wjxL_aDMjmkn#*7IL`e%_Ub{VoR#WK;JK56~Amo%`0VjUC(Nvh` zs@FeD7SmjxxQwdR2sn9G@5Bm_*sca)383D{ykqi-k8bAKMaq; zInLE`d~^66#!?O>!I~h1Y*7OC`R@|}1Fx3Fucr}BD=DK24svpY@v2OwRKp=?NPHQ?WbI+!12Io`>25SG6j` z1xsZ?7HxF+J8(+Qx{6K0dWP0*)HTCoJe4E5eixE^W&P%gR%N6xjAm%q>g!cY6^goy z*X_jbkZ0%|7Nr7f|9w&GSkx7CW-Qz>L6j-`ni)~D=!S+(wA115cr>ZDB~VZbT${Q| zRj*+aWOg*}T%_M`ZHdWbX@Ybmg`-xaLD%ui?xm-4f`}$LiBC+?+Ou{3aZ@XGF8ZvJ z4DPTsQK(l*^W`elauK&L_(&7bwZc+2vXr`Pq8+c@i`V9zRf$;wQ{@Cx6|0wK?!YqUw+OY?EWk~ z`A;6cd^v5sc;}JRH(EjRoTjpc(mID)4lSY@ER^->@^_J`WtMja8odM;e$UEq0U%m3 zIZyr*2(~lWe~-7n`4-PV_X1r#3xYIFf%~spfwE%hui|Nd%^!!Zqce&T9;d=LM*p12 z@+6WV@#zhpW?%EZdHb!II(^vz##~=RLqjwB8Y8pW_UX$!++BCB zT0#qWu6tLY-D<+Cm)HR-3(~R+BI{91jZ^VcB&$h8L=NS%T)FwDs17erIa-Ju_zBe3 zJ)9al#Z+Yq5s?GY19bS8rYxw*0nWVfw;X!$)7To8(du0eSO1dH6MxL4*hI6fLfiTs zu=SHxRz+HVvZd-Oe|-DT__K3^I0YZF1V`GQT(xa%rkdf>{gbqe-KN8qM;3JUH9Oe- z#P`Cck1ff!UGuf}5X^He^9yS`->ZeLT6*G>w`O0;o<_837qRK}}f1x?ugf znd{s&ZLwP`SV62SNY&B6o#9C~KmWtnx{s{sP-wSb;V<4iMa>q#F3Z@vo`7K2(qFC> ztZGyJg*I5U@!FUZr!3%hyLfVal#cM~vv&_tdEOd&9Ze_`6xZ?Wb`PK4zI%4RAA+$$ zoYCw6ZK0k;*P3aX%W&IgGwE8b#y8)7n`e(bjVucDzGrIMqU8rO1H3czO|q3V=$Cht+vMSOt> zo7Q#WcRT9Z-)XCgsn?A~WT(ZKw|lJsIXgmrYJ{Y!Qg9kLntE`0n-}YFzYnCVX>Lqi zM>RDZqJ!N{yO#_IrwyX#z`CWcbs=41u6R>kITKnQj&I&QL7 z##Nh|rzBIehsa1FO6du_Y7&n(NUXC5pYMG<`&PhAz+biW+gIc2YGN{894A||CeDqn zMjG8~F!)ePP?*51<(X6qr1c8ey+quNI3`Ef_*-B8ZgBiT;*q7?9tFju6(sk)4MzRt z=Wd`H+yEjFdjj_T*z(JllL%v%t)LD-kT4rJaXBe*K7Jk5U!bG4m3Ch{`o7%kJA;?sq3iIckhgzw z>1EXl+pYuuoV-? z{#GhGKFxc@LGnr-S&%srJ3`Y64}n!13@nB0u%)$~>a!lSt-Gv1Xqk*RKt-!?V)O(< zg(0p^+`#Yf5%b1YoxSbL_HlLU8pG)V@7}BsE9W?9^zqR~jaIkAYCP(B-fF_Ezi8)j zuG@X>9B4kUwyysru;g)jKj(WTXf>F)35nZi`Gl20#ROj~bRAim3Nv?GOH)k5&y!9k zIhSb0FeGC34EtjqT7p6AOYSfPIu_gJ8Y<+*pfJv8Y8*%WB6-tA)otVXkA9rz_Izyd zfVygNG$(G%O!TyTg1?+<$JA5=rw?}j@WYK2=0HgfVqW_T0$Li)(?n(440RrvWpj=`00n5SuDg_?$PsO=lOE~moYGC^|Z3TX+QB&ob|!=>}lTf@WB>b zYkzoY3PsVt-%4oR6Hv<|6s9Z%7!w4iW!55ycI&gcvP`yE<(s$1Q521~fSo;U0sMA} zLN&`|Ar88Z$AnfxM5-07EWHUh0tn6^#j4J=;WUP-5p;vcQN$_fxCA>5jxbVvQZY}J zrjBwh$&HCBnh73RC+PKHb1c>ZR}F=7y^1P}GH#m(0fADvOsZ%ljy#e^yH6k#3|aSv zAX-7PQiN&&>e+TA8#sehDJS#C{Msp{Zxc@Tmf%ep4YS_yYGfvj7{ zudJGsN+o=vf+0JI1Oo&^k-C!1>h?Qdu2ND>d`{c4ndc<~e&@){{*pk950!7CEk@JbKVR&1&lPh||7RwP@# z$eqeCd0Ux~U13K$gx1!|;ON-Q5~gVquiRlu83Lfm(T(P8?4y){3OpvOW+^v-` zJOj9G1@_?Kr#|#kvl_;AWUEMcW!@s|Vd^fW;j{FOU%+jutaFCgula;xd&UlZUvofCbj5nf4UdeM}^aN$C zOw=9apY1(LO|Pvgduy5|HW{1;lE_%8srO99Q)U zy_E@+Kr>2F!W0|?Y*kcTD4J{q@P=+}b2+_OvQM-@sFRu}OmgTt9i~BtG=*I;@L%~G zXzQ`|Z7w9+tRC#-O^B>RyZGniH5t`(AXZH#Z(pIVBd^j=b8+ zmRg8y;zQ1(I|S|!QvMnqF-L=_;Sp*`$-77a!72$qWRg_V%Oq-V-qaz{yuhjbv*zx zSa7Ymr3u{O2#5xzphL@c%t#4x!`Age1#0PJ)gg(LgsPL9#f=x#2mbYl%U;1QEd*2D=ZzG!Zlv%4vjh8gvc8tdf@`(rylTg`rSLq#Nv*w77u<$^sw&|;mt!Z?*&k{fxbsS>6J#iB&KR)&dwtNGFy zSkXYGs%QwwyHpJcM<~Xoj_9HQ`Jn;-63`5dk-{()t%4|s^UZncNLMqwb^k7!q2aUp zh9i!@8A@gYSlePJ=t2wgyGn8!w{9=tjF+@|ch#1o`1?zMhrp{3LI$71q zHpiTsX>wX!{)LK4bLlRfjv|hU<5X@%*1t) z;Vw>9Mo|nEpUuZpZBH$JU@rs1G`Ki%k)eV$q1qnV&X&j)0QSwOM68E(Pebn;(EBDv zHB0jRZ{rc6v28akTR+35hAoeC&zHyhIo~V6=0e{19G}S!L2=m1^zP|`z|!(}$!dzz z@hj{KEBI_)dbS?oYj2$+lP}X?tMTb>7i|$4t9ehdvj4)gWZ!yAvd`fmUCnT6>?-ZM z!wg&~(x&9-k&?v7TMnI#n_=6hAhKXGD%-8=vuP`G;yzEt-@s!ODT^Kkd@;(d36RoO zbFH^|#UMFCj=Kq+vKS#O)p$0X=9xX4Ruy2zn`+p~?~=(Eto`nE(H6K1wqa=5VKpr- z5hSOpX-0H%x=elb7kw_H$p*=_yQMdK;)1DvVyV z=qfEcElS$^tYR33!OMLwb7ArV0DGGD@B8_^~AEXTdxh?*@{dHePRx~9@DJK5RjBjAwe%b#UTnnDN!Xq4O7 z;yJ`6gn60sQbpl@ev-VJpvfn*rKy4a&0BGc4opp7#Cf0j?e$^ST4DG+q9mc30ye=! zD2`hbz?Cw;t^l|KxVVQaIgBp45CxFjLF?EkC9B6tt5`v@!@p#ZY$zpUT_GfkNW}-J zQzeMb(mGT_Whg&{qSuxW_!q!xvK(5m8B#G6`m_Bgx`I=7QqyZFdTm~CtQ$J%s%7>g z2m)be7`x;EC)AV)RI|F`cB~cOrB$qe50rDf5-$8c%4`1?w6gWGY}pBs9?bAY%&nia z9tJDm>a9Ec@f&}Nsu;8gZa%Za$Ci#(%;p^^;dPvzI7h0QM5yy%=Wq59>Y!K@V#oPOByy_Pm|bQ?rgegR#+c#2E zpKKdpTcaHsH^R10Gin&FJ~r>D49PEu`Xr=@*6hg%P? z+K8ZkGRN26dXJYr{0v#Cr$yE5OZ=OL*_S5Ys^5OzoZTG za+uc>&^UWu&X1obUWx;-yKy%gLK~J`evuvVTt2;8cW8A6>W!*h^+2$UcJ+(=&U^h7 z3~p>FI-j&SZ4o{BX#f=J%eP1?U1eNMo(&{%0_o0p{cF5^|}{C2tburv4q zOJO)w;=TBLc-$qtHXlE+?_(V4Sv`G->@eDy-(u?Kdo(t+BDU`bdk{0w4o%xJZQf_gh7)FkBd3u^F4!kxm zo5GuBvddMiHq!)Z6K%BnI&jXBiOlEHT)flEXaC~QzRNlOR^Zzf9D}6_F?`m_aM@iJ zhjRKk22T!*!(dLFT;bKejr7iDzQpk z%Xe;r(=zgL(@?MfEdwY1igkOQ!sct5^YZi5%ljLaeF0rOcY^yvqikyOvd=j>v)>bH zfqQO0nYO(&M|bf=^ogbUs@Y*H2+|d+VPiF8XGhTPy~&r(4_Mg;SI`RJ>Sgjo^#Sqf zT>yf%D4p(|h;=PhQLhoo-$fdGm$RdJY=%zB9i@5O_Y!JYU4vPwSmTxJW2AF=wzW5M zU|qwirPu)O4P78~_bX_Ih%Mmaxfgzb9Xp*%-Mk#iYMB%96XcaV4nybZVu?Wf$}GR!-vV1cX_b!O2Of#5 zogJ|>t*`#M#ZPyK;n>eX&vTEp#NLmu`T3IX9nTs-&&b*u!4lvy;dgK*F5j5i<&=|l#lZ-l8>9lXr|0$u1d@p zBU-w%#8eWtj>)-@k&w*t)b|I6wZiEM!VKQ_NPl%dv%EJ1lc)H zIVtE8FoN%pQO6Jvc%kD%Jk$QnvYQsqRQStF{S4%9voWxPA3V^#CjEDqbB{j#A#AnG ze08dDk2R57PV0K5iBu_BuQJpp2cl$6YNI=6s%SIse@B&A`5vSnkXH)y=LX1mBWTeb z9PWA%x6Qqz!P4~aL}8puV;9hMm4NJJU*jGe*ym-;lcfYVCan3U01=~J7&t7>+7zVlVE1c;4G8LtWQu z^^WR@6LFUGn0;3mHD2ke!`kOh^4jj(;=9@zGM5Lw5KsTbX^c%kTBYwfGwYxQNkFUNb&X?ukzvV`P57{Z>h0?hfCM3;T~Jde&4Q4a!W5j zpo7ln9`;A~uYCOGnDbQi8hzP*65cTVE-$j(i`VYOCAnzzw$dVdX~~UShA&{<@1i_E zNM2&Um%7$cl@xz)^AAW>Q`iI>pV{;ob~Nr--9CTN$P7X6o4j}LZ<*9e$nFq_j{O^= zEo+>Rt|n`}4CWp)1%(sw6BLvJHqmA^GEXbMJSsE=64OdDbH^!XOxSUa%T(KIPN~LIMX!ve$ z{H?&ZHFLZiQUh@7Z(yn}qb7*Zw%^JSEz_8iC?_~Qb{bWy;ja~WO1I&j?kaW#XG>BK z!zypkB?FeF%3%)~d#*;Xt(ah6a+LN$a@G4igVl_k9Y(wKXHZFjD}uiJ2f0w0AYRue z-qEm=jiHT8t{z}wsF#7ae-EjW!gM##`TRemrDOT;&qX{_;V;h*a_#N_d$#oO15b23 z)PmVC4K7YzWVkTGaJsz-lREm1sgRq(Mjppza{d_KV8)^o5mvt$8&Y9 z1<5l1nBLAgl6|YrfYz~4dwAY4U(0&58h7vhEydAuh=xYg9i^>K1JH`;hiVN6^7rYO zcmq$_x_(X3##Cr8*8)#7-hYe0)J59YZ{zT>7ioP4e!U2#?-s9e_FCrEv8P+S*oL+2!PBwHr#jfaq`4iiPS?8G`S)1iu z&)M&V*V;&7gg?IZ#}w28ZrRO`Z2b|s1Ko=^>f4Fob0p9GCg+3-hr|Hk1OI4Ew21eM z>0@^I`NN!@JWExt;*wqU3G-uYc2}!b7CCWecG8b*^~yADdAM$TK8`SU#WEBDknHqU z48E8+MbRPR4mR<*EuUNQ9q>4@>~pO+WnHuLGQactC&qF^^iN!(C-&sS{(G$wCTq0a(MK2v0(rvx;Kim=V^H2A3b~f9Al+1L|x?x+_YB;GcSETHOMz^j3PO_ zlx08V&gU%}z!C`MZqYUIChnS*A*Y7b`1haKF_+wliOfxW%WOGN9{ay0|`nmg! zuCYh(u)ds|Gj#6#rKLVRR@=&Qo08cqiICqO;<~sNC zC(%(+oXvdfnSaNwO;3F=+q?uG`dnL>`IT(Yw3Sg$h_9UaPk0jdu!XvL{>h&u+O)DM z6JSjc$F87F_4B108BATF;0`eqZbPwqXmU5x=4(Shz*(IllDmnsW(CxyD3kSV5AyuF1M`NNZp55c`&df3Xhlca74W!& zi`fwvJP9M`q3bA`yP4j}i(HpX2zL|n#yHUY1R@d|SoY14jWBr&A#vN9Io^K*JWV8w z0GU#iP_$#|AkW(f8(*A%gHGP8+d^+e6W#cWy=a+Xgvi2|wz%ThW162tA8h2VOG z#4W_cZ758^-PbWaP29>m8A_$e`7Yy(hLJ^?LoJ7CayPBYQn~DEB@>R|^g7pU!CX^y zG{bU~T4~v7{%>B%A&W9kMi0^KX-2P===6DsxSSN+0;k)ylXW?e$FK5awMxs>0LGjD z79+Ob;;T=aO@z95zEeWY4&w;7;@j8302QuHJs=qI6Lm*{SDxhqOu1fQDt8iZWgI&i4!awYcj484VbL3&_{UbM?}NfZg^xLseT-kX zxU>)6v$CNN$$(b03a8?y$kZ~(g3OaGPtxLDz1!b3YI=>6@sp&hX(U17VEbW9%CMg4 zXX-AdX^>MTs1-1sG6E)+w#{N>16#Qo*h)j@3LTSg<0{-^Qi&j&cFO52CvSo|m;;Vm zPMxmM0@pPg7+Wl@;%bhmLV-J(JPI=I^C>p9Cy6W}cPW^gaaSjCRVNY5Dd0^eH4o|Z z6x;QC^as1)lb>b(`qowNw>Ey8FWorBQrgm~N|K@cFuJKyW*o0Qgd{eyNo*#WN|5Zk z!};L?PQ66U-HdC;CkV{z3D|w<;fkJ>58mQ-6m63I5~KSpLmYw}Y<@P5TNpWs zu!{|$4d}+~^J_R=N|F5ZgY3)^w2J`1lelXhhVXB$U5PpxBR5>?bt-9ziw9RAeuF&%a$h3%b+|+WQWF zb0bSGUnKtO>xf;4S9mDRA6qT-b84i7W>%;;{nR>lvAJyr$FntHbiuMA@c$TY{Vw5& zlQ?Qgl!32vF5^Z)CMOM3X)PiyTZ*+I8=HyM`iRyB5z9A-<H1{0MTb&_H$CD1FIOs4q$b|5WQ?ZX!Mye!Q=z>KM?b`*;^2JmHvCExu4)^eOLr*? zmfTUq-j3<&eXcz(mc z++lzlUbr*w0QU|9cX*f=nDoP7Y!4XQ?RMyP2Zzo%s9QOfR8^{+>%4z#NiDTfm85Q| z+xzo8_1ImiQ)lm8`<%1(+G~AR-)Z>me->W-Enk=@Pj;hFYoK_gScJLHix~gt5L|s@ z%H5SfBEZ3}gM?FI3>pJF%6Cj!LUty?$uI}H4iHQR(W~`rFW-*KG#oOdGl}i+q7{&Q z8kIf-dNV4mNrZmP5dPtHHsQ@*PxbNtg=WY@TBXHAl9F^ELlh8Gv?z(7kjXL(8_6Rv zf@&?8U0}2m8@fsw6*g52Z90S6*N)cOKuR-SW=c_M2%E}?7z#1R`Y^=@NJjiDNi-6n;2egy7n>5mq6!d*r^!#- z$e3FQm^#p>jpXU7s8qji(jAqt1fxkZih@p~A(>VPM3Xrg$8$M87){cpxaijuqs^$$ z=6G&(WB`*ACSMbwHvSfl-U0Nstt4j9wH-NkAUTLxt3c98m1)C`HH^ogEv)D9Fm!P2;uWsAg;AZ#BxwyFBb4@`LQS=K4JZ62PKo`a#<)zkT zh*ACrLy> zRG!;%@fp+^H)*W_YchhJ{2903BKgaRi5W4Kcn&?j`18XTiB!U3C|v$iGV`_EI^ zw-G3WrW|R==7TlgkNMSCQr_#gQNd7Cj}#C6pQ`msc8#JM1Q^YNMn;heK0` zQ@b>$;vPjS?}D+3cn|*_bR2=B{|KJT(0vS^{k#aB+47%60@}?$qZ4t*h0BLy8P5wn z+2*~%peo-0wh}y14~KdV5l_dl>a6T6--%V9dlf!k%*Vm*gT&G?%vv)$D|V8npJZ#$ zU`4z1ejfLCik%xrbxsfd0n5iI+4D^-p$;(QpomA@Kq_hC2dWBAS@#=B< zs>jcp`N0dvNX8?S>O%adWonj{rXasogicIR)rw@4i~Igxe)q1P_DmTol~zjPErd`0 z3zts)0;O~X=CTd!thy_Uez$|88f9HICldpx{T&pfqC}EmoW?RtS`*vLci=EMuC?2` zhJPDuCz$c$((2f#RdD!Pg{H5gQW*ck^EPHIqT5&mQLosMOGfZBNXpW|kUoq(t>eCu z2EKgXSF_SEKHlNuZ}(hcD4L|eV&E(HH{=u=F_+`#e(rL9{IZFn@C6!m1KeL8r`mV~ z^6SL!ZJ2udy4x2;O`3O_(=4^Gr__EE^xj8sRH1G9#HIvo>MXPP7TU zkpQ985Dt?GYkC!$Ob%tGZvfIbo`joPA#c8^*+J=Df63OD{{&MsKvjM*%BD3?ncc&) zujC_i?P;ZK=opF`EGZxC`>yb&t$bu!`8e`x(5`))$AW)HfAeXI>+VF`RFn0CyRYOU z*kAoSjQ%qu>}#poQcr1BwyXUL`pV4MU;H-Kgol*gMnR*CyvoZcC2PcX`83(?=gu3s z_;M#T$p@{854A(bVX-?>vqQur+oqS2n>WT3&=A}E7epA*rI+YQ zM|mgdA!RM1Ab$zl%ePNjLUty`YWdprc6L_m#H5{O?l`K@ZvM=y9{iQx5La2n7#TGMG-^O4%JF(H!O&Ha&{Vt%bVjzVTZvw)=5m*tr9~#z+QVW|9B30p ztFu8YDz2BB)7x0L{e2k2oeXsMQ);rKb~?G>YX+5?s(6ToP!PS!2DNui?g<~$@06vG zBhenZ!`(zuL6YetMHbhTg?B=>G(oEYqf*9@8q!5IsFO(%7wx?Q!EO&)z2 z^>NIZ=Y_JA!v#&N#k?LTUFQSUJ3_kdy2Wp|&&e;2qzOf!FwaGCUY5HIDizwQjeKJ5 z#o=>TLsJcYqm6^zCs~!R!=x=^d)baD6EVAePSnHaF3aWIHwc-KHw}wAA#Wx+-WG{8 zMazWOEeA#t%ks@yiib|+EFU*PM|BqGp6zPA_uK*eT^A_Gvr=Ty=9FA@`s``?y4ol! za4FP}f`h_gD52O~xs=m9wK_%Q(-~ba+B>o;%TnHxOc3xr?2Rg`=Khcf?I+ zP=q-+3=V4TwWAu#BXkA(c)fiekwlsmMU{N*t`AY;oFO40lYx%Iq~7@{|9B~Zl1Y=$ z8ZfN+7`Ec=d+_B?p=w>L+Ga1>) z8O=8nl6@wVaJwFjPArg%R!)$58Y`m)h(+i~7W?&5Ps2%&?Fm0e`;VXm`=|*FurA<5 zt2K&J(|P677K$0GmFtiDK>@qbel6knI(3xpP&a#8_i(iD1nEqg70%^6()cK4#zK)N z(RcPb>AH0jjH>RoX1@FKF9;5$SYO!4#~!?kis~iV4EOCv4!`%D5@vzpeJ2@=4zkR- zoH9#pG5ps{OyQUE}5BdQOUDrRikU?3MT|4LN5; zPdxW5+P-opr7MTCipR=JjU-p~o*G|GX$)&ttzpfoHP_xKS#wRg&T~cRqD~@RcW&?; zZ}q-~LXuiXIVmMYFcHk!I1a{=WE8OLA)U#LhE;Tjy6FpxIB}P$kgB{&RFi~=q~jJe znF4C<7M!XTctUAvW?IXs)xrzge;MPIg9Nk+cGT!%!K~Umw(Uwrq1a|5qmWxTNi<1M z+CizsK_V6=-uf0quTGRv8!1nI{slPoFQUR-^B!p3PfA}vqbEkM;hi6_iITr2THv*6h7hN7}p`YQKQW&`oubjw)Lv z8;duhLY7=;!-4{riTte>7UM{Y2V?NZ~ z10lEYPKEl!cMMz-QcuOJMx~yP_+z}(xW!Xbeeoa@ld0>#&JKjX6i=(JR=rww*1}o*3ayFN4o{%^?Qi#Q7u<^dy`zg1T zQ)(%_CUI4^S|m4*^gHf@);A_d*Hzaq<T0%AFsF0RGtxMg%#5>6R1h00qt^MZxG`ocqqY#JHDXmfl3dk)R>VNJ>=VgVW$UMp zVKo=PlKaL>*9}}0l3#_($&{?*nCBdAfi~<$8+SAY(W>3#8}s?llA5eN9o@bt8kNGS ziy_w6l zW*2O(&N>8V*^<&PGPrdxwFAVx}ub}uAZ!p_lLshE<8&t znZa7q#C^MVQsKKYvX|ZJ5+hFTXl)UKq=c%1JbqS7C}3;`E=z z5Fdb+0W#{h8L~BSGG*eKuK!C)?Z&Keu)XLpQqD%&R4NR~BAgm4R!cegfs5F@Eu{MT zh__rOY_6ca^nF}ZIoaQJfM_a0Nq&;e)nycztSoUXVO`<639;^37h;*L-{C=Meq}hm zya{Z@lvmZ^DypEo>Lw+JE_SR%LLx2DBc27}f#J}jOX9v;w35*fl^i+mInUvq!z9vi zN-d=%GKriW4ztYxnd|YvXp;W4jdF7yiD-y;%i-Zg|2lC$o1>9@y+-h+l1|YqZ{@uhYmK-gZi>uBGmEc} zq1t8PW1A{5c(3q*4JCBOPS79eN2|_GE4SKZ;fc*Pv)hiUx&!Tfe>v+AoNAYaC$?10 z>f9s!7RNT=v>RrYQPXH(%|~J7qbR@lFlyf*QA`xzXLH~c-Z2(1psy6kWz!IhB}r!# zteOmoM2bMy1<(|My=q(x-lWGS2e}kKMMj-Lr`SlURRl9BvW?~p#*(DdD)hPxO3Fee znU5+5BO)I1lSrv3F)0{4$4Q)W!|H9bDq1orT7xhMN8_w7id`5$6%U|_w-7g|A(}!H zSp|miUiXl`h*04@n4`To1Lx2uhOqk1;)`BD9gm__Dp9lw$)ts3TF5vhH2DMzc3?CQ z;53$FjdV~DxQH#fNm7#}l5`L$*08j41&xlS#FN*Or!z{16Yk@* z4~HYIC|JR={AIk|Jjj(kFDt5wCXcV6(0hgU)_N*xmd$vsjFREh;3-=CZCJE6D(p!@(G=BA9Ut9T zO_@2nT!ZeRD3MqacQ8U(zKtg~SLW3B`B?NfhZ<97}R% z68Si;zAij|b$1h2=TYk3N4zbc^b~P}Q!!Vu{3C5%n%yB*mf0t6m8-N+vJRZXM)JT# z2)H5eGUS!go+`i{j8j%pLV49B>Kx`GXm}rS?^T-5{gPzFOMcYHdc}x6FGzbZ2;P3; z#Rg*f+%j!j2ST(2QoMZSAcfAj(8?{lgA#LbR@?09v_d+Qo3`>Oa|pqKxow3_ICfM< z?Se2+rjk+9XwcvBS?r##V+#+WFV|{6M9>tM!dm~|7 zWW7~XTV2-%T4;+)afjmW?(XhT+}+(vaRQ;ZySuv;cXtc!h2RuFdB6XRb8`lF89h`J4AcQQtV#54N5sjn5_enK1Yf^F5k#YQ6Cb1fX6 zk#KHO2gFeuUB)oOmnq(q?z48eOS`{>h;{^hpr5V(jSUam-0N*W)(UPQmTy8V{UD5f zM0nXC|E=Wuq}@Ag)PdM+apuh&h7>X%tVH$0SepFa#8Q>1QGCmW~jxHDhPUD{PErio%kihzuIMK=DMc%EC1|0)pwH+H*|jlYS%b(WOtEI-eF7dW~Oh3S-xAl1xlbe%I5#~(>pW0w*F z0(v8^zF(Vt^v|s87tPm!wVBy;@X1W3rvZGBORdj1=9Z|Ng3VUnlK{1buGm+u?-^YN z2QKzVg(OFW8J4d`t?=$!y+)mXZ0_r?C>TcpqFvj6aMucGVR#q>YJ6&2@aQ&3DyUS2`Kmb*cQb*r@cNMaP(jmnRku61lkT!`Xk!N53QzHHL567B`BES2ON9Zp zP)mEpy9oTyGXI#ehti%yZr66Bm{ahXgM@*+wPPSWCjwq9iW^_lo}J`{ecJp+jtsT6 z5(;`Fwh3GrtEIxpq770sR$+lSXL5v*6I6GYIa#h&cSufKs?-cI5=B%&sRFzylGksg zmBi)9f6Gk?<}4s3v8a5pFnOaeRq}qtU-cBt<(~TMG|#iDi!U?cN1s)K;#PGtO13d; ze_`}WB%e_hbHQ1}>BofotnS58pyS@-`Om=xr!i8ek7nW<=Bc4^X`^!`7e0PqH_t0b zSoHq}ifl6PB~z0Y7P&}o4lcMX(qSnjBF0h26#NuV6eA$$Us(|I043mgd5YlL4n-+d z*c-#;P`Qj}-d>J(F+Iy`#lnO6VbPfNeUKT#Oy_dB@7dYnm7L37zJ=6_E|#t7ccja0 zApdUCsGQSsI=Ws;4fT}=KF>l*AinC19%J4^pD@H4E>`U#7lw3xPX0Vwf~L!ew{7uM z+20y?v&91^W}vFr{r2cXX>zF1qR|y|70G>X7!3`aMJ2}Fk~u_XJwv>{KQ6ZHspZSQ zbA!)g=dt-7?1&g_d;=`7}V9xCNdFGinrg> zX2CiM=2Sq)q|Wqt6SeWWlZHyMufI|55=qYUhKt0vwgA0mI9LxQK8l}ozd??(&esO- zv?Pb0ho~;~n&MmIk0DCjve&?sQU*|ceTi|G315QwqMO*DY6tTlV|KY+HYFQ2j)+07 zx7CYDMXcD#aQNft_-oYdvFH?qE%4emnJ+xEL7^g3zWC5H>Ui+^tU9C2l|zo+^0-8l zb|XF;5vGAC4}|6(qDYC$5^pzCUH_g{yZUI9GNYuywfS9ah)$gae^dyL1A{UiQrMGN zL*R1$f0$8K%;6<&7B4CuzWG!ax?Ct3{r25jF9A#W?*zWdW#~%--Kp@K zOt;H+!foxl?=?E~wvW0rKa>swCTOd(PA-tB$qCPRWmxc}YL^?E{pp#+p+@-qUvmYm zWWK=AE=WGb9hzw2!cb+~B{sj{O}*XuWa{#HdKG_6Hm`1HUMwx1Ny

E{Bg4YjWMVUVa`9xuJe7 z*}9GNqAgZCz3M`T-%gv~%H7vA%zNcpsVKZUoaDux2ru=-m`E4N)B-4nNv1wfM=qIV zq-r8%YUblh3M?~3(dXh?Ze=zHiV>=2l)y5oo)#2mgH}=s7;72hzpP%eu|9&5iGZaM zwOnQ_JVtMSn!)M-Rigu}J|stoP$)!4V`%D4zp~!Oqp6-*RTn06ypN8i=#6BjYH^yR zDh)G?t~=D$$lQkQlR)8XF=#Hb^-ZhH3>P&;po@Cd^JRR+k^0 z(N3#WA*-ukGs#%8Wx_eFjc$HM`88Q5;kIf4=BybfvkOz(=DCd-Ob+dXqLkHw`kuFpi%K_mGRRw0;kQKJp4B?>%@zTQSvju&lL_&Y=DL^Drlw98kZSYH$@pwFN9=;c@!MBIGl1 z+SM4!M3%yy5g5^0x)WS6y*Tbl(do3~#??eJTcmfOpT41Ca>*zsCh{b*5-xoKeZj~o zkBhf%YN6F<#i-XYnkulnJ34O*@*9`vS`Mv0t zG{cO*I9set&CJbvUR!q~nbnOX!-LqoL0nF=HZz?XnQ_bf!2Gw&J*@<{eTd-s1hZiA0M$Jj2`bTPYev9NvRb;({ z&o+OZUx2-RF&=(eo81k$EVUFpH$H!m4xg14QwCGI)}61MgJ`$5=?&m&BAip{kL4Js z202x5%t)KiVX?K)-n546TAg$nBVul;S<_%bfIS5 z;V9Pv<=L;DJNX<(dIsq$*(upV(7F{YUVL^V9sYAy*;tIpiNwqTT{ zv))0y92OlMKl98p?AWn`8*aFPXP7V|IAOHBrmtsGK)AUEO z{O@PGd7(QxYoVH~m#BB!7)caRkg)0%Hn&(nt!i(Eq*nGOVhGV&t)s8xpgiL+X!G01 z6f2Y!m5|fS$_D4u2mWMD$`j*hj*q69sNK@k>mZMg>|OdVC=h21A}-9z9CFAmKOUXm4(!S{f&wND&#^O|tv~ z71@T#*@fa=Nw9S}9YM#ev)pYCX7WZ@x-}qteN;?;WXpc4{Vex7~L~s>&JMg=g;$8nogmYmmIxl@m znZCh6a-}gShe65UDvi-Douu6WmWT%`t*DvhR4sMXRgEku$MA-S=sliga5ToySe#5U zLphtrSuWC~tKyQX)Z1h{RwLHhENB&Iu5E>QmHv}jaI4Kcd5~-_Y~=CiayZDMM}bNL zq6yH+ICL^!hMLkkgxJ3tIWeo!78-Ndp$AU0aa0z!GB%q1uCtH{MQ< zX$$%O|HX0+lak!H$Z(B3h(9=v+Zsb(=!H}(=-cL`<19v`cBf&g1-TT2x*%=(6C6%V z@JenCD~%Iabu;p1hxchgmAgedu05?&b#yP6=^Embi($>+?8NBlWQ+X}qlp3ZMl-FZ z6z}Y4!R|D1WHd#8G&`%B%$Zt{H~TI_P<%Rf3-(R#!#*QGolFPoiDVc{&Zyioqt@=s zMPrWE*$b6tmMNU~mU*pqv6hl@p26+K;A$prTcTCAS%h4v!b{x~^gsPwQdOD0#wFae zWfP5|#&iCxqNwa2jPp0YJVwt%7NY`eO7&vbZcpvPCV2 zcE_5~bdEPp@H9a4X05bXZ84xy%rf%Yb3AwGBm+e|8QDj&@n-aPADsak*R^|D-|Ru2 zN=fu+3w5g%t=nR}4$s-HLs?NNS5a1Xr$gY-snq{>ks3X+7)?xMXhM0)S@xBRc7D71WNW_Z#aQ5dK9~K99yLyuaseF=@mTjy~sH` z#MeO6MyOj2IvsoaV(jmaQC46)Rp7{Iig;FARHfHRc&rAReHPx*6<}+Jf7XZP#x^e- z+h*Kep3LEE*`jq_i}%k6lq1?napDA6+>|TLBDW5voM6 zrwXW}qZCdi$!CwFlz)S&%3!dND=GNm8TP!qhom7eRrl5m2-?tWXM!>V6b7R zTZP5yz+*Guvdqp`zYxWWLZTp($U7-vN7d!fDJOBNRVwH(ss-fC2&fsY;=<(OHS1)c zY(!C2Qu#9RG9*gIF?2D1u#$8sDRNzoV0ky6W4 zED9-Gg>*KHgo=|qcP>e>#c}{r6Ix&@&*;8&0Zz~H1~7Toks5y*TQy1E)Pn!ox8d{E zY3T%$GwUP!wcvQN>cIli9wzHq_eQd$^0Q|k+x<4${5G5g=vQCi;PElmcC`>#vsEi8 z7Cxdarb-TL0oTZWtz4h83F>Nrvc2w-1j=WvAzoWF*5J0FPXX~>_KfEU+GJkK*ohq) zoBBOxs--9@>_X&5`GZJ7ye zcC%wUbZon<7dyvJo@8L)6eoImShaNNSzr6~@{{4Q5iG?#^%fa@^bnOp!w{`MW1j3} zdAh^HDV{kw!J*+KRYfINuChGjWc%_U%R`P?Io?%8tp#hDS?L3lYimpfJxhW%-m=6$ ze}E`S;HV?1_tK+uF)})c6dOmb6v*ovaH%Pl`trQ}j+L`!rsvSh)3g50W|Vw_>Zw;y zEpF}Kc`^szV5wChY17s(T#WPcjMuih+gO|YSG=Vm>O;*)UCnTTf$@Uh-#UpkO|J9L zS-!{?opWrr+c|XT5bf>lI2;aMef3p3Iy&g<>tp%y)D{O-yo_Wj3~Y z`1nm7EDO!Qnsw$0XDn5F^OtkTg&0k`2%UyFL9;S_&T`Zn3h)VBMN^)YpZkZZEdG_1L2aVfYo8IHt{5PJ#}TOjM7HjsO5@kx4{BRM2T+bBCAfJN&F^aLu@KpP#C#sKp{m zK7U&6+&oHr6g4u467E4wgi*37a)|^dqAI8$8LikGSKtXY;V{cnRTlv5c2*&&RWry& zv=6OZl;K2yiK>;n&Q5-^?yc28&|$)DHDWyN15;5It%KG?mi}0ZtU8Da7$t>9hmMfj zirHdCI%|0|6;ome-PkaZsuPbsPcYDgvu>#tm>F%r`G1gB6_sROo5jwSswj#|u2iK^ z)^2Oc^Dtbv zZRZSibmx74qs>4zc`bDK=e8g(M|$SwGfuvCw0pW-Up}toB^u0H!w+Yp7ARK=pf`cL z>4Ih?7gIyLQc?InFPz|;FZ`TBMZsm!v%b|w&}qVJGZJ)~@mdXM%z=y*VjMmGpLi0( zNWLz9XY>Cc0`x=D-9Ij%W5p5|*iPtYC7;K=|9+-gyBDNd)^3%@`?S(> zM}MxJZ>&C8eGfEjICsgs3ow}uwzogV$bp@hB1dQndbnk6JHE!Hb6$JCJZsS2-^Yfd zIEtgR=_1@5D&e)vIG>pul$^~BDnX8j-iKI*9N>#>Fd5(^x(CNWuGVrO}mh#T^ z)Ajl%*KqVjbChN**!9~d7fIR(rweBd)QXkKGNUs~04I%^s{K z8MjNO&SSx6H=~;L9LvJ7870lK#VW51j`HG>e)5WrgD>V->RCgxw}}?7m1Xq~meo6G z_Dom0D3mJf>5sFwFUB*+CkW(*@#(X;OD9+sjqsLGC(ghUB##BGF0gOa@}Mdu7&*Z3 z@qHZV9pQM!%z;FbT-l0^0%}EvM+Y~o?Bs?HAJ;WIv8h_~2xVx1LZL8E;5*$kLdh54 zT-S|Ki#EHdPhd*EjGGh|S;0jZLtfE3*y5Vqa#wGdUeP_H?yZ^}qa>NINky9Nc|6VS zQ)v@3O=Jq39M{U~O`g;%RZvwM7QKQ}1*=k~K`lY9q|G!K?O?Lcs(U*rZOx-I57Dk9 zP}K^OuA&7-*$Hi5%`Pyzwcl~B4^q7joy9^LnMg?@QjsWmjHKN%v8qJHXu{!gV0YT6 zSj^}wR`v{@!kin&VY6`CG7rvN4uL#jjgn{cH*e- zV6!jJlgRnEs zYZWZgJSlQg}owrUuXcdBH*6E)#U-wQ$Q5l_jpU=&0Z};11bT>1;JaFC(p@8Xh6i*u% z3|f2aGnMO$oY2<3Oa{t|0@?88&oKv%jiz|!_yk6SZdO{`ncm-5vqcBT?|tuk`IA5S z6MpogA0bH+ilXrR^Uw1?{>T5|10VRnrP#+ejZ~({|F`o5|FLgSE4q#Ws#Q#d9GxCL zH?D5y_ikQ&#%?o%u`K^}aD@Nb+ru^S7ikB|aRcF`pHNo-o8OM!Br#lq;js2IstT!` z#6;RoCSf2nK7g%KB5AOoql80B(cIKV&|$)5G0r)EmMaR;Y>BaCo{4mc6BGTU6g^Z; z6pf>J75H6OiuR@k9Ca3OT0p1c$VieGdtw|NOHr<9XBdasz;Vku;_3wJtZ`N~8gNOu zS$TA-yN#rwj+gt39PTL*kF_J0>oMoX*$_X5Cq0Uxs!*>cxuMCz(uo+#V4h-CVZPew z7e>-%F^x88+C+2V3GEiO-l%=>)LQN$>9ia`iyKU?>DA0SS)0uXuEdv$V$4q9wHuKG zUYIeHlrL2|8BQ}0%gyTYq}NN-JIt758?TMXl&V#XdWlxAfsi$??F&GuplwF`bc2Z6 zLPER2PERFIvY19^veV)2(sIy>DRc%2NuNijE2A@Hk-UxQ{LSdRjYw8&Z9$rav7$#GOidL()RKaaE; z);7DRR-sRt^WkUpYFp#_TKBD5wTFCMyH%YUhJoGM?MzRbRvIrEr?>2;x8Rsni_>Y5 zwYwctwKx}P=Hi*t>gYzshS+&5QtKquhHc4>w70g*ThDruqG-YU%RMo^|LXG$XL=aj z8)y6Sx_MI&0PPs8U#iVI=Au}V!}y0@VM#GbQIe2G_L6?)|0P?$nxwmlj3Yqa;yGiG zl_)0Id1RPmR)^2*;Nbz2o6nJe*PPmGs(qf_0~N)-ha2{qq_PA6e7R_Sn; zS?XQb2d$zi^jjTN^hR1M70l^z=zdxY9IZYrbtSm+oMo-fC7deI6Uj0#BW=QAG0^I> zQmU#fuXAwA@*qLyB5S~&FIR20KNrz11iEh3W|k8J+Fh%OW7>9F$-IRI%5!qtYXS}v ztv)NyODYGC=`ggmqgx`=mmH^Oc#N^E0t^8|$g+Xv`T!j*tpr1jNc#ETqlsLJo{Wdr zB05Hr0hIU)uJ2zOXL{d5ORtu-X8JKj6d z4pT{l8IKnji&sb$6ckBMgU(F7Y{BKQ(df2PA2cx>-%Ghv#%b2!w_lHvJ*`{ErQ&MR z>X&9C)48&f<;*HYZHBmz)TR2!%!0Ys(^EG1&T#G@z zff!kQ?gm1>R;}`aEF)z`XO+~_On{UEQwt?~Gf$6J_}&wH=+7Ey^t)LWa-gVM(~5xI zh|Of1w;tw9ebFofG3~=u3n(n$X~)~LjCNazX2vl@k7~hcCJfmymB=X$h812(`AA}< zlo+FE4PtdQ(CT%vJmg?=hwqH}r{^@)ee0UJ^@G!+B!`aj(urXrWuumE&~^hxhyU!g zIM3HnYl+8{`77rN!N

0Pb&pyJw=;;R@uXJ zF^$=r#v!+(H$_eNZ>785T-%~Y!G;A;h2k~%3yyEIO-IgLS=hOr)q%zo{o;~8G=jiI6v&6J2{N>kM) z{GK*k-W7Dz+vqf?!#)wL!w0S1$nZ@&NEpzX$5JMX5mE^=P1`OYl>jUFoo zoy0XQZnkz_!OAxmXu-kp(xppjY;0uv_U+ty>#h9dU;ZVpyz&Z)qHyiC*Ro{El1sUt zZ#ajClKjo%$2c&UAYY!Ianeg*GU>?FVi7%6*0lPx6I*&rYvCK~;oytE=BZpK`->sc zvKK|tK8zbZ7FIU2@zgOJ$4VvIO)2i`GO^s7rBW^t%an+W4I!1sFj^Y%TAQf20<;Aj zwEJz8SjA6Y$TAQMWAX)Ay9mkTsh%CuF=G{_~Iokjv)4~)6sH61Nz<;I9Y9<4s< zP+TRPw4s*u=&O136tU?m1T9(WtXYi4G)OM6cxdieq1}3NgtU{vWt1}2k;RA2B;zy~ zwAo`v1C;aA%^=E!*@3dr0Tvgd1)1)0kZ4jS8H+HQEKr`23uiUzY4liFQs=!f zr^BD8ab@GBpB>T5(72vEmmNjQM{2pivpbeet_bfwEf>-x>sZ&~rlPFi*hw?j2D*4_ z$K0CQXES1S^F%2@e|7?g!NInr_u;RWwcGW%DC9FxIsxgZcB?+P3cPLLYG#>t8Tm?q zL@|!X9H7}%M}IWS^QWTh?Tgi_-&9Z(Z9T=R20I(uJgjMS(c-mXlyzL+;XAJ&v&GrM z{j2VuT9D_nH)wZO5(5zH))qTuBU-L*VqiK@b~R7WC>Jt#vL_)qNZHfIU@fnFJT;@* zgkGZ6tIbFT9n-VJHj{ki78uQUn|wyeJQSt2;J8n_NT?Jba#Gv$Mg|9Z7%rO0Hr{~F z*R`PB_H41jOFdB@e)<#xQ5}h+VQyMhN0Y}whu=keph?TKp69idiIa>Dbo0chg>N5~ z$y8;04l_$aUK(5$n!UAZ69M~-TDt+Dv(`{%1djibYNbfY*od{7(yA`3UNxsq|LG>v zCZ0Mv&i7v$pj1_8^IF-|?wwjVeo@aY7ej4PptjX($MM85?c89r&1mPXudSnK(~j%& zSa5uMwQCnIyzl~rLV=c+7H+xa7PfES z&i3uw-!M7HlP-1>kW{9~-~9RnPaX{u%N1vp%yL_eY+LH%f9_a`({AFkKYo>c{c$$5 zdic_BuLGd3_Y_aP_zH)HqOZoNX#pweKG@aPqcRc)UR3`9BDH-XpXz+})*txg3Mw+R}|Wg6r(vO1$Nu%rXC zlT*n&1F0&q!Hy)`XSJR-=q2i$W|}-E+`57`D_cxW7c(#CsZ1QBDgpL7OszL)`LYZB z_sJDV<;&PDrn9dso<}%UV7U7bnW~J<>7%Q;9;aoV-%%+{*ZnQ$kqk0D8I>Q8xrs>@ zDzXu~+ktG=0^H7KKW|yp#G0#FR}?bED)9`I(>j!#5xG*KoRMfNWO3^g=v9f3 zvq)FSfi752!4)KH_oLKiE2;{_(h`xBL^3Ne94~Qbu!y3TG0HmbTqm=!(=unGE?AAg#A?%YmWVDSrAMn?7$j-4RrT}ng4#_510)~i)>$&6`% za;2!vR9U>*0<7RF4#v|Q2xrOY8;Mi`^hUB|idD)L1*0s{=&`agoe z0_C2079?6gXQ0~mJn?jvV#9UpZ~Z7K%XGzydY6fIznx}}WloFY*A-ROj;lmJ#QQmT za6i88A0w$%Ms!UKw%>=Yc{8>^EA4fzS-I^q^Q^~`MFyf-esd~9CY2!Q_wli9o!q)2 zc*YclM7BuJz#y;n3^F_sXYXi?8}6laKo6Il-Af@FQGk$tV`$|ZEA5>BZ?lSQRTiC{_&Lu?fC zdDLPBwNyr_Ks**970-~iw^KIMku6mzmbHo&7K0v}Nl%^AjQg~XWAR*xXHSgN8_5C^ zI-QEk3JwdntSUZ-ifQKiyjs$7rOJ7fYK7joiNT}?R6RPWiqoPXo6J}(5?;H4)2h88 zXHiuQl{|)04s&7%S7L;UPD0X~kbRw)>Q-wre@4d{Z;wuun(6DsTo^~Ty69|f!tV0T z+wEx5%ofG5L=ri93ZumcMw!+IKf#tZbiQUJZv(o?9Nk)(F~wlw@K}tOP7Lz+YoolD z)CNXH$C^4Lzqfr2x2>$7ldn3n7UyIu&%Q{K7svL{;kT15R=9CVfF*V3xK&=$-My2? zdLBcT4dj(F>q6HNs?#pU6h-?t4X4UXq$IL=Bc-w)outER)Z?`1D8yf3|40CzTBJkn z<1X(2Yh9k{JZqDaxTTqXwVs|zfTA@0p%%$c@N)kM2FZ-hkm0`d4Qy=E7W!7ID&t9o zk$9CbJ5U@`rt~rz$-~R|4;vNhRQCivVz;=M>g5Cw26R?Ege3V z)HxQE1A0kK)(@UhxuY=b|&g>BH4O7{-&igw{~DNzdjZjEkq=vHB)(| zFOKv0e{fIchg5Yk2C7ut?KCgF29qnKmCy9H5!MCijTPsVr_<};;9#7dzJaM~GN%Vj zg|b%h;n-M;Q{l{vv*4;Z*01(!QLf#kLF@pkR0#V?p#iibl_~zQdwp!I6j|q%awG+t5pCP z3K>zsPlHyYT|WWYuc3NDT&TQH0q zMK|6@F%~5p?`AAzz*ebZRG+47c3^axF`2<2t3-gv_6CaO$|Unew7GB!=n}R1*W}h@f-%wcys% zh-7!58cjsXI)?KK<0T2jWI{2TNmXHdd=PJGlrCcgU$Y&j)d(a&&V!=`+-?RdZg%&^ zI5;#~n-#ZX_XKccW0WdY+H7V1?DlKfxO)07OjS`CN#yCC$jsZyb6LF|i@``NSEkKl z7K}NcsNNuU8I^T;|1E?GC_x#RSix$gIcTJ z*LwW?^RwS1R?y=xmRP#xUOEkK@{s{1VsYZJ9Mx(sO~!GWjCSy};cZ?)sBIZ3Da*gS z`d^GDbA((D?ptvaQq@auB+E#x9;V+20h3n8yE9;)wXkEPzMY+w0pC7#g*tm^*vr*?Ac#9mMT*3GS5BEW-c0P*+M)#L{EPoeFKA>ObnAO$rz+EN=0FbDap32D_Py>UQiC` zWizvWaOZYN4kGK!3{Au^DJiUanKri`hbs!{7vR_{(^VfXW=XBfs8Fh~w?EF_{y2TL zwJQKw*9KlJbkm@W<1nf;)wN+Nr^yb->Fpb)r&>ow@7CU9Ha~WEfQ~xXRC&71ZEhaT z_08)1sVFKV$voZR42MTjgwq9*wcKU5)j*5a!m36Wwvw5~T`w@2RcWwRS+legOvQ!2 zzvp>>PQG?;B+GC-KWi4W(WA|RHn_A|&^3)$PtDznVrs$hhT4MTJ}pqr$F+2#4*_yxRDj5IA&#(fbms2T{>Fq6&%S5QomMtVKURLP*KPgD-_ByQq_kec?w%W zk0Mp@NI6QX0j26d$;(t^6IHztwHB-@ibTAur&w}Rt?F=<$MGUjlw|a%_>>7+sbVY* zpfCEt7(y|H7)X}s4rdrk6)0C#s)~xLf=RDKscKi@2A#@Mlfsgc0ev*rj_b5vComz-yr*FuBct^JWIP%MGTj%s#k0q$ut25DP}0lg7JE`~*C zpuyzUDle3C=+qn%aa6@Yw(4TS+(^_~Pd-?WVzQ8xWV%xoWT{ApJo7U+R4;mz$2%oPCkV~mfl1A=!-r_yZ|vn9Y$jV zs-=!q&0enW=wf2HkH?>Tkvng^o{g)u`m3>QiJpnfoLZbdyOGX-)-YhQTuzZmwVd4g&64i`8tjw$P|gD}k06(6$SxU3@WwYweAH zb$E<&&t4jpA;x3J8HgLPgzCuJ0~9RIbCyLLODFmDYf(zoB5lqzZ(VX78=G4$c`l@) zsO;;Hb9m=>nJAm_H!tJ%ts7|ayJtObaz?IaB11d}&;~87_$x26BGp5_D$`|(^V`>K zX8E<3cU{1u)fPj_*L@IIHcPSlMO@3TLtghgXt&ws=IBn9)N(eS_0H4P;Mi!27kZ)` z9ZgZHOix`jc`R&f^Kf1JYEGSKXKbhsU8seu)5((q1B{OjLpcGZ46-szOQo9*RVHX~ zL3S0GIzit|quWBe0~*~H61fuH6Il)qCmBxUiDpYwsw!5ao@TF=Wp#Fz)jOv0%OOC} zE;Ak;r!H7WQ)`#DbCd7y$y9+k@9(xbsREO)-5;G@ZNh6a(C(jGZ9*G^#kZ_}-I!W% ze65z|SL^VXAMIi95iKQ3=N+YC?aj2ewqJdD)|bJ8gX5cSx`{n|_R!hc$+m6V_@h7i zBW}9sChF?yF6I7Ru%G|@=Y0CppGHv>{^U>ogpYjWBNzQO{^;NK@~b1`R4Y|X)iSPX z8B;ZnshY#0W-(SObV&pJj(IQA35g0Oin5D>*-uqxp;$JOFX<_lwGYKeHcckihfY#Z zr3$Uq3Y&dPXT4^rs*o;}$rLJ76cq`u=)q{zQC0I;V@I(nDkU9QZ6SPC&s5!B706c1 zq!l|k)r?6egISxrD(Mx5qG`-Z1)Wa8>+xeT7@<<2m>45HHbkbR5L4|GRWBuc=wt(a zyNPD61-He>q2UCPM4Be2p5*~M2J$GC5~JZLBe?{zvW%)Xf!=^#Cr|abuXBXx85?3e zm7>n+qqU)VPL3|+yw)UwBsynpR@d8v&f&sswqR9nCZ=Zac^V11n~+Ko)XXrcfmcaK zhN+|{pc==m%V0H*V{%U5Y+Z-9sg3beo@8VMS8z4{)@5XqQF?p3=^Y*;oy`JqAdbxd z9YHs3EiE|e{9x2hpod0>I5-k!Z9|ayrCq!lx3DK3WNf$(PiYiyxrm7ZtIQGF{5e{D z6X?CoAge@6C$UR=$dwv7I@&_d#Ozv}7Nd^#T4}J;^DwJQmBZm~MiK>9>6|Ef%Yu&E zQnkv#!6bkGn^%cs6Id~^)NjCUl5yJ%G&#*ItvA!`HQ=;VfjHrOTw5twqpB+7l9xVZ z9i!m}?D1N$S)-l$fRA?ndYa7z%LV5k=7s0F*G!YB^#&3Vn7~`QrUk3+LoZWTNx%mZ@kP%V)l$&Q>|oHXzBIb zX*xnUo}kX_qG{E&mu#OeI(G~18-Je{@&W3uzYivxr!-%$mDH-`=uVZ?ik{Lg-d)YL z+OsO;Cay>d&i>&cUKto=NxhwRpPgu?$SZ?!j*O&8&8)6rl35jUa!rf7wwSO;BtOEq zCC_n(k-oGJdqD%`1uoNdh~5X zG9~h*Dh9ozeP(#HS>iM0mp8R`O$Wu3=6ip~`?OSn8Sn3cD$}1g)2nYMrk}2wU^Yz8 zf-ZJ#$s3Zzt!<%oxJ*ye(fefxH9zWHXh zZQF+5e|4AXs8lLE_~3&){q)l~ole%TU(bE_-G|q^xPtHh-#`2|_pbjCYnnGqHH-Mo zp?-e$QXfjOfT>#M-f9U$Z9$q&(zfZzK9x>6&l0B_N*SO+R!tLE6p}hOirE8>0Jz=Q zO?oEsW9%OuprYuI^$MN7R_bl_wT@$2j_YJiRjVHK1_`&tfZJ-oYLrQr0vywqiRF{% zEiRU~Y{4O0$fXk`l1UQTJXJ+Srizm+Hj|9o>A>akkdr(dGUmzV(ip4`f(_SlI4%(h z4`a-Y;jYFos#RQ462CshwT2-qt^h_)BW9l;^hVrPnPaEYEbnTifJApRLpYJ4TrO%g zHc_zaax@sLH2KU}{Pjql06LeS)vH#p#$-lkwIG?zQ>}m{i&l48%8eqW2DKHrQ^vrq zg2zoNSw)T)(aUC%W(U0)iN2JLlC2$!ejK}fh{jSkby6IsnnEt0g5G}Um&uI3%9v81 z&)USVTJB@4T5AAf(V;gP3CdYQQXG$(q)>rlJ$s-Buz2{@h@G8BPLfe9{Mb@TCk>#bnFpr-473GRb>!|gt3-VM&YiS%#7a2+9ITaaatPrNEGg4AgB&rpb z*88Y)tGH|`83~RinO(tRhT&w2CyzuZRg1Jb+qj{50~?x}X!qN&P1S0)f!#N|e(=O` zIQAIsd=FBkg@(jlI?@&zmfwTk>jmRQ`p`O4?c!)R{R6u=Sx#x+U-s5THG)XzCNRJD zpOmUas;8d7wCryD4I8IgEFT$7@?!VwI^KYG%ecY8 z0YM7dZ3|fOsl<)dwA(q~ zeZH4ep^VdP8<31fB`PyQrsBN$zEv{sA@Y_a~DnKJWI?eEl{S2q$DAlL`oh< z=c+?rDuG($rG$@hYdaNhh;p3~qs>ZJqlXO*D$T|?QZbA)m4&Q=slaG*f}unjYv6jC z+E1U2GlR7q{OwT8pi2&-OAH`oBUGY23>|s~3BV$Q{}PMlyc9p;e13fW^Eul$OHqYblB>sw+oLs|#jfUa7`SV%)Q z$9T-eXhvorDp9rOu<7IIsp5^lO2Fww_IJ?O)QaCB0~sQ~K*dNz3X;sn(dT0%3lS`8 zi9kh1K$@T{_A6Ffh6w0A7)vXl&m0ED9`$yN!GD#iJw)C?m0jA)@#f} z@;Qvy=#6B^6sv#*d@IoT!6oJKWKLqs4nQFT6&0dsh@K))u3|<jp`9--C1coorkZVoie!dFDy6TGkc<#QVrc`WZTYn99ljq`nd-eb~WEtM8!Dw49>Z zIq!lcRe@x+LNc#IN=(o^dXP<(B59ooUwN1{6HihytUwC*A>c9T;CO7Wmo5%u45b9yliYcZKhgRTQ%-%s1^1fpI$Um z&S}*XqTQf3(2yFT!QzGXo8SV6WU_wwnR44(yf$Q=#Bd_dzrNJZ_jdPDC|7CqTDfs) zfHm#QwX_Li0bO!H+uvMNEAN&Xfq@sa8Ff#amL^h2zVSbJB}rS%WDjUTV>YU#71^xX zF}#30*@Y^UYqR_lS>m}e=|Y*Fi44Pu0z*V{}6FT?L2%0zY1?(c6cQH_#&4$p%3xScfNDZ_kZ}qAM&YBeTr{>^PAjo!wvlJ z|NXz&v112EjvS$-rG@#b)Sc}XPO(^|Se%YDQ>hdH7R8JtXHn1rDmq;Sk3(T;NW0?B z66593*}p4Q%rX{@QmmLT$u?Tu9k`4xErr2qz-gAz>FiJ!pvqP#Bqf7(K{WMINsrmx_lEE&*CDqBKTK7Q9twEJ!I=72`CUi$Q{^vm1P zn+E9||6e#%l^hm=Qk-{MULoLcLZ%Ki+(y~mtkqsbD}^>#@X(tz5-B%f&ShApNMsE* zWTk>vG0+vTvMS`Dqn4_n(>2oRw{j{v zLYJ?BwZRt3<=Gd2XA>|5xU20hCUO%5tN{Y1z`}pt7J^M5LrRaKI_jrySC=x77(hzY zI^rcqwXOd}u=-Ia+uWKQ^be16JOL{w(zFE}3*K*RAz1US>DRV}V1fIsC<;H{m*wZX zo5+=_*iCv?H@NV+j5OP-Y;vdBXdcB(0V)Y9$EIg~Rd;KxqQL?dYMFfy@^f#L8d6;+z56aZi`>S^;?Y4=%i zS`5UpCHD76>5t|pRI2Rji<3yiu;^8y$uc2Fh|O)PL$AYqw|< z!!UXXsplD_QVPY}h5D9HL*OE}*u8`%kL$&}KLG96+WZI8$C}ZOG?{u)NJ6Yn+aw)0 z>QSd^&z?De)v7KO=#6F>O%y0rs`SV53`BDj$_h4ETIz8akOvGyi*vBzq`b&eH9Vej6( z?Ao=9r=NbB=bwL`Y&JX9HE(ijZEd}%J2tx zNy=c=Pf)dZDeBLDg>T$S=Q5R^r9LpRCJc9nNUT6i2_U%B+|8i+f|jr zG|T?Df$y!)i`CnnW%RovUxgaQB{abE(X*fJ=Fk3Y5D`eTaB)@&04bdty@vD5+Ud{j;$gPWW&NY3QPSV?0p$C;443|4(i6eKDN#EaU$ zRi-Rq)G>8#@tRdS>?)lO7|LnKYRJMxe}4+X)gqV6@!t2o_wqLZaXOu3vspr+5I5g^ zGdJISGuyXsr?d0YE-aXIdT?ASm9Sc^{OCtN;@*4joqFCUKlw=x95}!;&pbn=Qenl4 z73|uzYidE>i!Z)-#)cmA%^Wv3H}m7WSI}jKPMyPqPA4&T=xL7cevD;X-$wnK?NCgU3-=NkJWet)N@==f9+EA9yRnP< z)@4}jZpH>qlAajE5ojjZ)Wv8r$H-tW*|Aetb0g^0l9u0XHQ;kOaMgDpdD^sF(UOjl z?8wwC$E*qll>#IOkrD&itzLC{A22(?-O5l#Vl0s*rgPJmw{a?*nOamSNzm@MvZ2Mp z`WE+`oVjD8DZcjW6Z9nt)HzLT?eyWc7_k_1wEDDsO_!kxBL~opyaJKqS_%O`F2dmG z07r^mhRmHLJ8z}p)b`zH*VEw96Ljh^l(U%9W0(>H$jKpX)~TFjI2OSZJ4H^CIHn8n zivJ^c8@AHqF|#t{yd<5*(uE2y^~BhDu!p8o|Bj-9-D=^c^{eT+W}B8Pe36w3Sq2As z=^Y#)noKeljiH41W0R7|MhmTtCR_mr8M~jX%}?PB={Nw%Vv=Oq9O? zS!s^4qr-rE^4QWF!PTVAjyoHsYMam6?>+y7G;s_J7Szx+T8`)>t55q`cdPcEyvmfz zWp?h|$?dn_e({^9K&|XxzjmBVwRneOHctQG5IqGu2~#7P;08`*OpGS;=p+f7QN}3i za9U)pZFaM{-Lv4diA(L0kJ%fP7`MfXMx%s6q08R{F*Y^^fGo@W?ce?_+qZ8=Q4~J&na`ZH)1Ap=!elb>@WT)D@WT&Nt!k@! z_c^N!N@kXq%dFNrFew$S1#fCp+YA`6Ln zH7R}I_u;kbSz^i3B!w}h2WtUupSIO*Tep_;v>I$+m0;#c#b5x-N~m9{{o5r6wK|!p z5h!Oldgx{T>J<~GiY{!%FkMX{tTrb>myz|&9dKVI&~JMb6= z$wso+h|=od)|D-_)P)%VTIY@0Rw=>A0T|u`M}Ef1vWMf;VJv2;WV^96>hU|Zj)Hlh ze{xdEq=ULP^zJ&8=qT#M2=;srOO+f2$$(!OV0G>XGzDFFmTyDnym*UHDiwuShm-8- zjd5Z;jiN#%mI5WfYSTE?a)xs6^BB@EfYk?~HCo_y0W0%WRb{N!x^ys}qpJA8<3sN% z(`-Dz&U6e@DZ?^j5|6QpLvO&9PeMLPRW?zu2gp0>C|caJW;N60G(}0mWpAKTN>hp+ z$56_FPLE;_ajeq73lm0;g>$vk9nk4?wE8S;Z1b|I)x&Eesi{SEbMl8zXKVsbleV(| zq$bdgd;!DBPBBt?k_9=o=sR?pjr-;kc2 z7oF_aHoc+N#jI_*owvUOwtRegzpZ{P?>642EkrCPU_1fiuWCWFr%k)avYg?f;|eht z43{QgG5EmYgXZ;9fim%aal!WYZwImD`}&U)+}?|29Ac*i>y^*bMU-~k?Z z;DPD((Jq*<$$0J8;<@8NbmauPz9*5w`_bjckmMpdxfe;-2U!=mH^9pKSQiVkvcH!- zc`si~t>*Z+jH))EHKBkrZscIjNp$(e|clpqpJNVB7!|WeO zXeE{8>!B4~`ZCw42iTn5g+Fx^)H00p!pMs#PyWAbC^$js&0Zr-UK0+p0u&g{PS0?h z3a9z`tNr|D;1?9jW)A+mmlbsZye=1#PQqnX@w-&yfXZQ=kz*An)@&4eW&(3QiISbb z*7GX9at_(xCD--)7@D@x7z&+MlX9sx8Jny%A6m}jaL z_Ak2H7ziin85m&y_z_0RRSbG4RG{5f;dgKCqBAge0ZA-dqBoM^&`^@$M1fegL@5)Y zURS`UFJhIG+**p$5FUkc+pLzHv-Y9oI&G_8NBe($5hXrKvqwU@_HC3y^IwFf@?}Pn zc?J^&O4LK(S`2wB?t%Xxq-2qF23l+eJcB!7aHm#cDs+ujX3BN$)Pec*N3-nij&f)y zL2gDH(SXCqlDeflb=1v?e3q5+5VzKkLA5sX)xAsGEN-Y@2hE!noMW2Im$gM=k?gF} zQ!a~vcE62wzYR;y!1ac14jvn3?XpfAtf$NJo!%V5rUkl_Wy~hu zkEM)O(>m5$Yxi3V`e)v!G+MP9)4}CXE=&i?=~1mLS3V9S`?dD(o;L8bF&^(G89k26 zw~V^RO^X}*3!o?pPyhV;JbN-v-O4D}FS*1euFOuTU&9flh5rnfP*P72(hZZ-xtTC* zWO==VP3_u6n)&oq!-61Ou-EOo%J281*XyTdi6@1_;fvmw#JseH|KH7j!gXtIn||({ZLFo&r_rh|AO6A$zvkIAx6vtWX+wpECyCKXjl4PTM+UI_GiYm zmFcA%q&203^~y0HUS^iDqS4@)K~WxU5>;+ha58-lpx*S7PKcdDb~p0&WvV zXRXvuZ81_+Hj#EUkajhotCTRGd;%wBa(WwPa;&PpLaWY%F6{<=E6_Gwi&m26))zhW zV^FJL^=JYAiO03o{jMf0Fmg4c>SRWf1$rY{hH5Q}k-Rt?ma-&qlw2XpI$wqNY}r85 zjKH{1uF@OHa%?O`cQ{KVQ>0K}68arh$PLqJiPGpYLTXss26k)J3MNaF z8BWWsY<~-_zx8?2Pyd)D+kYEF$6IE7d-Ans)|?F(wZ%V>~sTFKaRASkvTYONW>C+W2g4 z_tj=lH`3AOg<=MV_Q3EfS~G-v0(zg(HnR)r*Jvf50?TJra41z224Y!yCbC2_)30fi zb=o2^zYU*#Mv!Q1q2c=9ra$#l8m_+&yzScK?iMYXKRq&C7OhgyYAa712iZh}yM^u5 z22LeRB;+>!CDFuCJg?2*${7q~SZU9*IWWOW_ZV;r#v7p6I{(GaVw|a5QZA<5&4||) zY9$7>t(GEzd;ZssOjetSWT$4ik)61jt|jDu3oX_%#`K^Tct%cg_(&hcM1|_HCx|xO ziem8+aF}Rtn=!~bTD@A+4y_Ty0-avQEHg3HbxUja+YiJ0=^OeD<4RfkyI0<=RU(;IqYxvhKqigLA5L!3);`;)PrwY8#9cBMuf@H2tPts3Py^dymnxx*xZ!KTN@85KJ z(isKe&1%6p$5+~!7UXT%uz_!W^P5wTtz5a1yYIf6haP(9ykBc(TE&SICx}EMXHCbL zk{*Kt{}+0nCEmY}ADhkOFrgq3wJ*bS&2Q1-J4?5jVis~y21j1zSHn;)wxFP}Ikb_x zHr&dlb}!a*%@Pzc@SPp}$FK{RF3&2dk0!TOD-C5ZLvSTDZG_OZ^Pkjz^L38w{vij| zR$6r<$k*OXVfpQ|ce7IE#8{eB;SAyQbPyx!CCa){4vj>R$`Wo{noqX3bKlJR*JrtP zJU+aK-e(>{&V(_UtTZjV8;`+0H$T|Zrp>6Gp6i_$fLH!a3ov98)UBSHaZ8pYda_3P zDt_`NUoA-2Du=ZDwHC$E(cW3DN+;{So(yL=Jdz}mE|Sbw&`IF28L4xaSk>U7tIkf) zVPZIupKjr7E=|v(&Bz}Fw7|gArUg5-?t0~Nna3V`jJLh*Z5RxOsn_m_WEn~1&scNz zti|lJk=jMitJ;{%e5>1oT9Ddu{Zx0jN=4zoP=c5HVw@V!%<6L18ML#x-ODvi?%Cz| z&ZU%t;eFZ`IZ#Dx8^6?{dPaWfu5b5v{<#a?w#Ag+jiC;m8unN*(kPb1V{I? zw2!<-RW_nZdi0@ncvig=nl?k-@{6{+nL>q^`(o_vi!qWY01yt3;EL>Ljns=lFR{5! zVXa@cuyg7H-Eyo(!vja_(R_R{`d0_|L_lN z*|LRifBW0~<3Ii*hYugVC{;72(kd1j9M4dF_G|p+x&Mtr&0sOg=(qdiL2SbBPf3TEYD#!6wnvFH1|+H;(B9n1K{ zruWexnQ9;Oz1l3&qlK+sTsMVy^(>T5qbs& zh(^NN>>*kOhjxcTdqWU!sD0|ShvGTLQ$_PCfQLZYyu;n7Kd=@j$eROrw*DSBUAKN#+QcQ37$E$@-;+r8Y5CS` z-npm_T&ba#u{`%R+}S8by%}3@C00xAyli%97sE{(wP1CTxwndzby&VRq0;XIrS{BdA4)vrZ%s3k!FOSov zWpdF_yidDzJW0}NvvKIOsY?HnxwCQAaxGBqgXAzMGwR40?cixek!ooZWj8}5`*cS^ z2^!25I^+lql_B({*{?mKxcTv`6ZFPP#7vDi1I_4lIt;Re-)^GCYh_h~R{6nUzJQZe zF*6+~XU3<->URsumatZTfySRV${*@w_p5f6NMBE?$H9(ffx8iufkx(MNxJT zZ@Y_S%U7|r(?_fCB6X&lPo)G;{S~M7KF)z^2W`4>IyzV2?b@i-cXhXD7e1#o&p6$= zK19k@g@IU(-ia*X^o(vfiGHldeu}9a!{hSMddD9SYF%K>-9icu{s+ABFIq4x$y!k6 zX{$B6n5@Hm2^t<0Qm99M&VTOSkIn9&-BzY$({EvH+dS)OXZpJ{g)+l^$0&{-r(@+c zyzR#8XXFoG1~V>R&u6xM>f+hmPMxA^sXG(Lr}N7}I~UZi)`HafwP!tkCetPk3?^z# znlwJUk!zdXZ0+<ZeG%DpquGMTn1TUWys0q4lgT1XKoR^ z;5T+Yt_6wlKJEW=F*x;vmOt!nfgAo?EgfW@`lr>37APnBwY*HFLL!mi>0{&ME2{SM zZ8zZd)zJ~q(k9FX{jArn#`=g2og@|+V`OxM{^1eAij#!oqR@6L%R5?G)99ijpruWm zt%1yWDP^@_;pDH`bKn3kr+j#wHd?N|osLx-sCSw#{%fA@#ed+`Gyj)EY6q+I{dC;? ze&kIby0ou3Y2ZbwPy7{RBk0XmSo>}*psdUYVr5fp@!4c~u-UW8^BrrdsuE5Y>7K|i z6w6alrcZG*(+4JoPLd1{;tDn|JTRV=7=ZoX*DliZ2549}J8cEP7MQNMU|K|jk_EhW zY2UwN%#CYz9@h*07{JLF`CtLuXPMcY&UtQ}$asq~4g0VvoJ;md_I>xFF6nPwD z(_J*QbWP`BUd)xzmf8ZnhHJE2$H#u5-KMsSb*KmbYCC zlvBevj{k~ErGm-krOgzfy`g}2>D;!VTDx48zG#3FJ`AoDp5#tEazBGrJ4?(tRxj6a z&8GH+rA?eKqfNUFYqZgkNKrU?m<=7vu&!(Y*JWym&~Oc1!T+KwcT`KGsatV*UKgO{ zdi1yb`P5wsTCTla2{@GPyKh%flA&?Kj52tP89~z&x`C>lYj1=no*iD=<0SoAk*GNII+CQ zvOWVijT?GV({|}iH^MK;OTX6^?s_6N8|~9lrCAuY%dl*UHj!sYhD)ixry)@Fr(K^} z?m6ja)Ug8n>`NowtHVyD9I^-v~p?7dV}ceUnDOP`Uk0;6{O>r z6}OgL!*N@TlpSNwK2vL1(r=M_P)}fHvY|Nf@s@|NVjPD%{ridd{J`nuS~VJ+Ern6p zHC`qgm-Q5fb^FMrt1tF78!V3Bs6%;6a9gQh{YRls=10nnlJ5v1`{!m#XOy^N;Vs>DiT$WYK&7oT|j5S=z;vnp2(O#(WtA};)*X3F| zM@W{Zq9t{P6Ms~>jM#r^C zmts@VpmdkZV_98!F3a&oJJTByK7X}8k!!;!RU;Zat2FGpTa*C!~#?Y}ZTU zhY{VnyiM;^?loSq!D|@V8%j7DjCYcm9*3UhdbkFsSw6=OOCMO|7cN6Ujx1@&8#f6d zDCu8P?9SJCqahDkk6iVnBd0KEe=}k<_A}14~U+GVPiOF+{VD7N~S8UTh_Y2j2^> z^orB4;2%rO(5Eg@{U$Tj)sK;^zq`uv_Tg_b^+NqyTUUO%1uZVuq4)ROQolPp-Y%`J z8^l%N;U9lEhn!7StJzcRj;gjA5p@sVtG#A&g~SF?pu^j@Bc!N^PQ_*UCEQ!j#8!g) z+!`MMLg|S(p+Jyac68mco+VbLmIlx-z+X2niBgufT;SAI^K7eXP!O8^GkfkATUW+C zS{cb;eOxN;*7sRra=6_y4Rc~0bc3S>501MjEPP89JaF#Ab$7N%z`zio&yPibOSeh& zt(yC9u?92|o1;l{zx$LBvodlybena{Qcf9Shhi7Y-^IAk#m?o(@^J0Y>CWQIdzPtl{;S*`)$AY!pH2=Hmt2+5;UY9>rOx%<+XPe8P;^7Bf!gp5=&k?I|9diq9gl@w5jPjBI{?xF& zo)(j(HCk{Rq?w?9w)y`^37rB5Jt7z^kgc*Mv&F9wJr?1@sK;CQNn2xnznS(yJBZ|e z>h~xN=kc?Lx)JNc&SsfsWM(FCd{8J^TU%Sv866DOcQ@2F2gnFygv$B$NvJu0Kg{q= z=65oD#!E%gOH9(vA68e-0i_&RUE1{QHdhre8N3$8gFljQdtg)c&(UI~dk3}jY&xY( zAGA+P(DQt3YU`usw-u#1TvSUbYv<``yMQdhP-0d607w)^H?WQ5CFNtnLg9f=p??m! ztAk3ftP}a+yYAnYOWJw|mKP`{&5H`!2tl!y``XjF{6;3n(=M#6XFRdJFMKdqM6Ubu zqaDNTIgDsh$o#5z;}jBZ+om>t4p}2J(APEGSs0UbIp6wSTfkIL=%qrB{^AVjd9C>* z)3(tx^Yb;8L`^S;Atse-4Kfab+L&n|VNV2(eaI!x3Y|I&9w}bV8y|7SB?JdA)}3KR zq2C4gbq9-pT^Es4Y3B>9vJEFS7jD?n57wMNcl0`FO=N~PRk~L+JHwwI#gJ=?s2n8_ z8Nf});i`Z9*aH^Yz}qUh)ZARonUQz%10P@ERROBwTuU}1krZB{o}f&x4+;+`H_08e zUr>L5Ms7$3488ZC@PNIpW#2rYP!o^4X^THHpI4&sft`Ov2%zVdcmEA2jBQ{4a@GGE zIQhu^`THmc$a#&2Fz>%buD_t=-+~j}_nzhgKDwH0MU9f0D)j1TB9(vra}A zAqRu?4J5eQ^?!+djVgKq7ydA?@QYhO^UTNCG)(vTnCtOGoRDedS*LoZ>?&0C)Ipt8 zb5iSwrK?t{k}6#@r^=_Opt1^n9ap|{jsE#Z3C2QMsL zhW3=p*Aw)JPdBIQRwN7Cli%WI16_()C%uQim45vAvDp*4+fYj;!)eEk9cGlUlc`wH z9kaWGHZ!?vHeq3MZRz`y%-`Bptp!)PSB~L0ndts9_{;(L^k;)bQ@l2EJv~aV9^|nr zf*|g;MW9;`rnPO4RCuTV7zsP-nQY5!&9V=$etR*Irx|awWL^ zb7CvXVyXDHWG#JE2r5TyILC|38B)0wpOK-K6u$-?2+RbvJ8wca45?>Q}n zun#Wi7Afq1a@l8=Ps6n`bbmJJV_D(oMD`Tu9wuGVw4kxqr6W$d7g|XR{Qn*%d9oC} zS#3yUmx{bcF6gqM<1*ga)jiXo2s;_NRky`;5gf1WkDlk|#s&umhpT*ZmCCpP9fh+( zLbBrT-S4dw0d0wzRYy_ai}*`5h_y6kUBq@BgXrqfkC(RZR6^hI?GiuC)#9 z?wgtw1&YysYeBT}qrD1gMZKaE^_6pbSB%>Ap=CW9In@gs!7T+$@!KDV-(4+R0TM_w zm@EM0NnTg+3v3}V3cS@v)z=VSL(R=?BoYaRa9c!dGc+_5g-#h5!_D&B3*2{H&U5Mk z%RvnoO{{OP_J!`msQ!118sT;eIjU27H;Nq$Ds0!YgLi5Vq#)egQy|`XjOW@v9U2@ zq#;Egn$*7Ehz^h>dH@PI)21rbzvbAAb2yyNK>o;!ra>T5i#X2+nUA1BLhGd}s%?~x z_h#<+5I7WuG7i}4cyGA!J5PqmzSz~6PIr-ZC+{JRUY`W#ZMG|VFKVI8%p}pguW{ds zFv`Hp0rhg}87&%1T79P6U9GLKQmowFTg`uRcy56>wq@fvQzx`qFI=^5Lt*edRum4~ zYFiVhY@x?*r&y=xeBcGlu#+v?vMyuNFm$h_XW^iTC4;!}#5pFD*`gdUXlNF-arN?+ zevb@b2WQ=uPmT}WW0OaM~;hbORC$N!ov?$i6w(R*Y6wcxgVs>DHy6XU-&~o5` z*Rj|{GB1;C1JD(wi`|q=0a6_!sQWtAVLCZnE;yX0xejc z-{~O=P*f82vSDIe4m*C7I`Jg`4ba0QFjs~O?P)NgwZ0E5G-#jVSV~Zr3*(W2+*M%q z%#MbE0c$paZ`9ZKiReu&hWI3S|M6^6xUY$1DeKay=)+7$B$A;mZ`1)SM)NH3Qceg^ z1E~6+ET|!mci$GbF4gf5kf`eFB{5NB&v>&fnHD+j^plpCFHct}2bO|5Va#&w@X&ae zDfZTF5%CF7-egzLEoZ5b4@JZyS_kr-+EoB^I|8DIAZ>INmxj}$XtQgZxfNhh##cIl zkpgwA>h9i}Ea(G)dLk~O-AR|uR;qj}|8?I$&tF;P{`EbzPHHlat*?9fs$(qtEUcyF z_xsQZN)Xfm&9t&68&ovww96W~x-NQKffz131p=H}D zokDJEW{uLw=q@sjy!sX7Nwo<1+)SZRNFWe~;!1w*f;3%EIB43UAG$UJRFwKRpWXA~ z<@t>L#SDwq_DV&(NhUO(7T^7K|^YxhHLH~Ba~h_E3;)wGk>(m zR0lgX9!t&2`~nSYiDw>vjEqJivo_Q*^k#i?OG>O&OET2#4sQP9rQ+PojB7T&wT)zl+>`$iG&Bk#HD9tML-nYjB;8&20LsE2d5eK-qf6YbkN5;llTs}z_7ITHG%4-(~^!mYr2awr-Y|)&b>4wne1R#-xU~-#eWaz+8w562< zKt(8*T}fUJtvt}l9&T)G4BXyOfF`VVN}$y3Qn$UK$3b{1I_3frN&IO7IZ|wXwQ1ld z13likiD_+S8*#2PQrB3ZIxx-4-zU;R<;oqX(dKKiJtz|e$|G2uJXO9M;XS-*zxnGc zlq4PC{z?RyrJKA3MiXLXEU3sWJ<0DrVDfQphzHfzp7C@*cR=jGq2wN0IDZom5qXwR zX3T)ae+@?l@3&um{`J|6fiojFZ{FNvugBjE2?0+H!Zg zsCyUTZL1=U>tJxbK-i@xm&k#_X39-3uO61q%Mxn7D?Hw4MKVQQ^|o_<$Kc3FT2YZq z5ahB$&0;#eJDjnDhG>AxKpq^UxgeQ^MoxPzNSUsm6(rBb0Q_JB4HD^+&Q)l7?}f(T7d!tPEdst`v?{J ztcB~=f(2D!W~x*1C3ZhlgsaqxRsx~H=`e?l;2jVT?YGEI+()xJunFW-=akHX8haM> zY#>4D29Jk)9`9ud89VI(7#ARV_JFAdJu!cDYUj(OoIs%;;1>_C`#Pl1uuqgwUx4c} z4OJGhleop9kUY(Z`+gQzv64U2$^u=-+5 zRn*i@YRied-w+0&DWLg57U+OjsB~%1eHD&>oHDu|Yornf-N?z|1nxW@?;FWq9XG?k)l*6S)eJVaS2FoZTQ=$^m&*o6Eaccz z^-y^76Y`5oevU8OZh`8nnG>z+(14AMH%0|Mb_Jg5qPc8yEzIbP z!oqk*B1tNU7%<}Kqb&z);TPb4c#jsd>n}}LECTUE?yJm9Xrp@0zXYc{RP?xAQA=3t zoI(Tiwi0SGM56I^AORN9gf3vf;QRW-Hpz&S(;r22KSEONq6txu4=hcds;JRA1zwzV z{HwXx$$`U%k9&F^0{F2kpX$eqrOE=B+dm(Abv!n2DHcY_xse?cj3x=BxH=I7_8;$Fq-Jx%D3el0*am diff --git a/_images/eae75221b1f98f0b6642558e55d34090fba6c9b36c5c464c3b435ace93e43950.png b/_images/eae75221b1f98f0b6642558e55d34090fba6c9b36c5c464c3b435ace93e43950.png deleted file mode 100644 index 6a731a652f51103d91a808d8fea04aa674610328..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 8633 zcmb_?cU)8H)^!jC8!+QYm7*vhAfOcKRgfl4s&u6H7J5}g28GZCrPt6qp@V=FsnSbO zK)}#K4MiaEJ;51u?w$M1d*9#tN0Q$O=j1%kK5Os2*4hLsD@qfcr#cUTK!{{zBp*T` zry?K_Jjt^J;2Xc&rk&t}A1b8wE$!{N*m>D+ z-@0l6g*rG3aB$duKY`ue$(%!oyzm$BBj+4s9yvoGBu2OwUbZOQ5(2r#C@U$h=AMB5 z=;ffcjXmBNE%h1`J9~|hK=uOTSqk~`YwsRQQRqYuq>(X+Rg{lWRnU~MwHCFa)u~P3 zoEmU#!<1CD?57em8Q7VjSN7_cC9AV_qvI*E$O2CDUYjnh9iO5*yQT1?lhA3Wj34zi zjvt>EHrwTq{7kcV+*#xaR3MQIEX^<_3JpFW3+^|;-XXW|2cL#O{O`!!00$u|^myQm zkW1&lfpN49c&A90JOzQgrC_)O4%+^2E(x?DbU^m{+@X2FWZN!AKqKU>c1BMS343y} zlZa4VJI-40Iq4HIvD9!>V+?+WMAA`jnX|!zQK8Za*NY|}zIqrbPz*@>c~0w4_VE}7m|%V0=n*$k z;)6U%#wb~aOXo5NEs-jay>Phv4ao6Xf_qL0DQF7HSh-9aX~?wd(S8XH*f{#>w~$Qs z?xaxiYAn?B#onYiyYP`jhx>~g2kUsJc~)J>YkUZ2PnG0dUfw*-BK?}hta!}9)bXd# z2YiH@`fAzs#MR1EI(s#)X#4&TzEX(mO{U${5W|2C^h)bX^1R$!xvp1igQ@p|COe)v zhsQdvpq{Fb)~jhm=d~^`RnyNqo}BF%oS&CBIFzHxV>5PJczZ|{F3e6FmY0*0(?b@v z)k#`eU+mL3(&(nlOS~WQMInFW_^5A~rS}37c82_pGsK_hK7$ju&qS?T(fv@W%!vu@ z;o;%LoiPjU+{44eyE@!d!l<`E`JTul6#}9e?oXfYEF+#?oKTXPsT3SiuYsQVm^_iA8qJ9l#y$K!z8#4}C zGq)>;IMM6<(GB{K(wIkymFb6bGnaR*hLJ=F<0dIwKw2ncJLbD$^X#V@v};|_!9MZ4 z_9MUldY#+2?IJ&HR!%H#eA73o&?|bo8T$-8AsfC~6G& zSto=kz;iAgr8EfEt#+Dc-nE~sD*4z9zDqGS9KQ!X|I7qybNuyZYAiXDX~V7|A##jS zi0hE`J4&$~c1B9aYcrRr-pqQ=ts#d$bbDRGe%|Zm;IL8`nrn<_h0Wglnk7e)(!jtX0zHhkM0UA44w$4Xr)(M&5xKY(ax3t2wf)X&>1N5^ydY z))g~eTuc|O*Dk{5C!;TPPx^txT24I0!n$fFNIb2R)R5RiDs#--d%=2>2VX6L96@u2 zvbh_J+UpL>(zcbx^X?fuDHE$HKi7;9+I(gH(M3$ruMgOQ!?k!t5E}wN)A3)bF{x) zVc2v^;SKluP#eAr|0%I1{o?rjZ5&1_%VsyKw6(R>l$Aduc{so}onTnq+qr46oiCg! z-1UStnS@}k4@kHO!-+zQBw;jy8vOkHp1U92c-+?wL+M11qT5?%9b0E@r^d;MgGhP*B?=HT5g3rRripyCg z4_$65bzfiKcs8ogBxl1zH##P5b*=-_&?B_Gr*{u+3}zvXBZmB2vK||Kfs{5qn(8GE zl*rA=>38lEcIy-k`<`G>O+#&@KBcujQ;;yy#>jiK#y?J&V2L{Ow|XHm@qH zVHQ2_jaK*}mz^HcanC}|py*bAv^C+)2&>_NZLf+YG{N_1i{0g0?vrG^bS~!AE34iF ze!IEmM-xBg&mWPJn@bY*(tQDXg+J^WsWrgl-}Q_*xV%Z_I)8oBSsLYg&bncTK7y=n zduO?JlV`css4*A=Be9VS8H1Ke991=-z6X7lMcxS)CnTX$7a#3K7+($e7r6eB1+)6# ze*e=}_2nyrp8I&!@%m>=5Rs#nZY(n|wVI_-A*k`>xCApbFzsrPL|dR5;tD-XDsUON zwblIQc1G9{#;Sg&>|zqfZCo&qpx&#o>1yEqFYXfOP|T)IKk3j&@&1O)QyePNAe$~KYeRbG@_yI@C3-8AEE6@=FG5x+k!(TZog z6kN5P+`{z#>sGjD9$bALNfFbLo6CY8E4fEVOuaW`+%i*KGb&`jmVpUQC4~G z`3XF^4DAXiR=>crw#oHY)$h0(^DO{}(4E7tTRcAdP$EiB$y8;TMW}X55XmSJ@8tA- z5sGiw2E_sK>W@d@7!0MB9?Vi0EVmq->;OpdC-(nK-nCVhfo!yq&5V@0p$%XaXToVI z*lg)hBk6j_~m)6dv-9 z;w2gQV3IzUCCCTj*0RdhbnH*`?D5}b&{W`^zE~VrEEo0DBLP%etoAPr;Gan2`0oCe z>nj^~>BX>k+ja=&^+^SRHF_j-xcGQYLD8Pp?o%iM4VS&KVXTF`F+?L zZ)|$;(z!jAj&q%k)S%j2%TeoeJq;0Q4d4Om|G|YPq!-l(eC{kV)n+Otd&_;k@)CwV z*z7}_fzYFSzi~XBO1l~~0y)_c04uak9Xi&|k$*Demx1O6beW-z!D-`jYi@4tK&fdL zbm7A_Ue46($b($yxWYrJP|VSNBv1tY@*(m#9+jn-m}}JXd@%=}B!G6@aMx8(P_RX~ z3;8M<_2bo*NK&nn=Im=M_Anp@!75_`lG$_+7J%kb@mNJ$SzD`XYPwArr~k;L1pMn= zJgbo+W4B0mq7XvHfyb9~lq_IkmEwfOHI}%)G-G+e|82Yl$o_mXnKlFdLJh;hCyr@`|N1HdP6+5{Ay6Yi0W>C1*)zG&)l zlg^P^`iaBMP2-u z$a`KUeP~_?$qX4iHLTv^wx~>yNO2;8 zLmv~$vviOz@WuYPBL3bhxV^dapRk@AEAo%^aVmuWCT+{~A1K$&2n)JQP1)VnjO3M9 z0zR8{BfMlZ$ldv5WDh|(Z?7BVwwFL{dAS~NhPg?XudoR>{@-Sa6 z{rLGy{H`ln>KYok=6y-$PoJU^^*v+`dwD;-v#-y-Oe($KnK{>F@KK9^^@)8tS}ti+!xNnb8&O4-yYA$w z=Rr4G$tyLc`_<@0kJ+HaiLv;aGIvxY5 z)t4m9-U<%Hq?=#-wZwogL;eM&3nd1490zl{Bz%duN6Qwj2p>e;t70BshYis2B4KzY zZ4vi#x;zl7kirXdbIfYptY0AULIya_@Zm_vNAL>x(Z7=Kf2zILka&}AFL>5THS(Vr zI25)>m%0Qp0xk1z_0|(hGLTAQ1IL?esU{ZvI_ItAN(EO|5k*=~tYgqNg<{Q`o9y9* zFzN%+b>iYVHPw)wI>*{pfCLM!B z_7|>`e@<<=Sua<^!H6}f99oP*RWy_=j5Tl^Puks0sdsE>QR16&qyn;FbYvvAq(sGf zBws~b{E4=XPKC`lC(qrxxzb^@?2?i}0~N|keg$fc8cU)Bu2gUJ64us#>vcOMOutm^ zj8YWFVg_@IiZsEcH*!?rid4LIld|n?IJUoW_n>*ExOrxs|DDvxA60v|PiD3{%3|o@hvNZxRsPSxU);*X}*PdHFmuAT@jIGc_~MuS|9X z!5;TnEjAoR?Iv5%edzxld4>T;Y9MSB03mU{P699|0MW?DiGjbkNZo@BoZ(UCf~Ugy zdk!-E?uTK|yHlbB4(Fn_gr}j1#JL+dOA0~LtnmK1Tl7)Yxa-BMTrh4qz236KQx0?} z0q+~(QE=srR)lfFyR8#piS8Rb;W^X9|BV7BE2VjBTTA7Z!_fa&kN`qH|J-R9?nQ^Z zlYjQ~sq=wC#|6}4WSf9w=!MpDo3&B^ZCsU|Eg#WFL;;tBKa^68K=VFHS-DTueLMc?J!1kp{wzs(-;lAJ>W0O1vz zPS(93;_3*TL-zTtG7I)FxAO-;=p?Um5`G0DkOW}w8PsBz}U4rNS7O^tv;0-s8gp>n!(*vRU~ z+6r4FLY4N)_mY~SCxL&g@YQ3!CT)~d$Pgdm|FU<_bQWy;B^g`fET8A*dnN|iAQHL} z9Lsh7(j5gO!D$0*h3DzgmXE`3$$LKYvoUg+9+X^wOQA#L=QiiNhAZt23V`}}*8rRW z>vzBZiW5B?nlHp$J+J|zE{k*=6*Qp#8vJj}n^r2Yw?E9AG0Lf40)LxVa+%RGH*A3V z!qMbY5ISImbh|j&0>`fuE4^bqlJzJT%0gR`6N8E6?gf`LtHRBG@~L z=5v*HMgDYaJoY^y{<$-o%Vkrm0%hFXs`-3cH^;*Kt7>Rq}GQoVmu)SLRiwO zJjd9!dv`Mgm@Ktz?{vGs+Smv^+l8(iEW@x$`4TplR^RcPSpnG3qV z162FlxQ-~9x6e9Ol$U3xq)eCl(T24nS1#ay;c*7gKrv}^Zw9B8v69^Ud^ONBNzb0< z_C4GKz5L%mnz)T#!Ii@N{0E?D3(q_LAg{grx7RH@`&dUoHcjJ!W~d7V2GG6KaIh9= zpYZNNY7ni!Vqdijk)kHh=z2y_G$6ETh&)q{hLaOHWMm;lCbLin6t_dN)#04Cx zw}$?;p5+AP&p5<7uZc28_y^G(Ya3KLCpIgNfzxFfqvUQ}>TFZb6$Xfe_*b3|5a)*( z3*NsEOb+C)iot|G+e&Q=oUb1&9UZJ`dU#Y55L0JwZaRH*Y^T{@NDtHfoiL$#DQVbq z`Bf!Us)*G_8gH7uVdTk*;o<8J;BNy$VAb=6hvnu?Wozp^TmfxsyT85A-xByc4z_mz zOGEW0dhRd6)eQ`afITAn5U!ZWZ8yoM*^JX5f}kvZZ}R(?U9J;D@DGY$bS(4=biir# zLSe1neqa@}bR0Is?`zTnW53+EotTEtK`byZ@OXO+G=65)tn%@8br};0P)M148+WFx z*%6MYJs)h=!?aXQ?Pb6tzt1@PmHoa;z)Dg1s>>vvL3WwiU~G9!ediiyTAHd zW07~=!yKqKSXA;;y~Lm9JYU>wU~36{pGX5~<+>i{;Nr=nAjcRW*frzoqp0 zQBeK6_OuC01OCxm_{QA0jvjy+kw06G+KJW*!97C6^@LZz7VZa7#~6)kSgKVPD~YWmEYsl@%BNI z5rBZVG)WC7lOwmk7<)gjJjTH9Q|{P*_(d zL`qI>-5qzw6P4&@(=I_Em97F}qmU#t?s~au#o%~9wqd)#KBu@?S+CYr-PAO5q{zTt zkW4r70ps>o^0BU|sp--{=1ZI)KUixtC@3gEq>IzCMaaLp)j#(>YP&2M```+%-B7Vn z3ud^;SABbX8pU z*m2mYSQ;UBWk5_~X8E+MoiY)2A9I6fJ!JrPi)o11zit=#74SQMStx0z9Ry<{%ya;W z)tBzqo|t}VTj>Cy{iF^+KeNFItjxSmq+~5pp1nWrj`8Kt`)rK&7+0nm4O&}UJ!b;R zxxM!skdD)7;7&QXv(0)2FpGogj~?Yn(|WuEM%&ycueISWj>hgp2D<9in&qJ~b0yq> zYfKX)RH0t26>#jxqQp0+V>$rAvBK_eQ}H{Q#AB~Z!-iOk>K-$bax#;>l#T2aTodY& zokqw;F1Efy|mf2GRKfw>J}5=ZNtsur4&RvhN{_i5y7oXl7OD zu)1bWT3WL!b(ICMjwXtY0`$GmJUC$0x~+|@jF<74c3#F};G)AdF3Xq}x+7&UA^VL< zv7Cm4Jx;(S_i;&FXIB^Sb^y7;yu~M3_!4iApds2c3>ISlt#b0QVA7gLp(Gh8DKo{zBd5``gRIA3mfs1rR2Wfq5$i_cs6#RUul<+Z5$-zt}Ad z=f#TbR`*qmyS-SegvOH4jbB z_2~siXMl3PfSfu)?1_JgV1?CcLM zB%4zLoyQEWY2@E`!U#lDIAv6BA?E8O>aS-9g&6 zKa~f|+J0$pDA6ah6+%TtrS|Y)TD*P3qsGH|j^S!&bL571U)i^b-^Qdl&V`s3`EP{T f-~8*r$}xUY;*Fx4>37#b`Gm+yDM}Vf7(V@fXno>? diff --git a/_images/ef1cfc5ea77a698751bcc52294c6548a59d12410b712f73fd60501cdd16c7017.png b/_images/ef1cfc5ea77a698751bcc52294c6548a59d12410b712f73fd60501cdd16c7017.png deleted file mode 100644 index 0e2cf77f3d46bc415504c0b3280beb716b0c6693..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 39069 zcmce;1yq;o*Dd;^kq)IB1pz7P7DP}~5TqMK5Tv_1B^3!t6%h~tk?t-L5CH+{k}i>u zyz6EE_xGK9?>Xb%Gwv9dVQn_QH=bB)uDRxXA|5C!65`R|p-?EoJGbT4P$-O16bdZ_ z7aP8_Y{91je~CHY(sq7mXYTA~;`kVK-^AJ8+RoY9(v->dv7?ivovi?m2oK*irYFwM z_DTO@WsJz_wIze6Ri7bUh)0Q%6qN&)P(X%=WeCdl!f1`)k8hky6@dr z`!>$`^-9l0^83O%kHaw1TzviLs6^2}Jc+(@pLxBZ15XJJ( zSGDc;y+Rb}`B#5Ipsese|5W8NiMua<{xzsXWk&wbcgx7INB{Yzd_nO4-j9}bwnx)4 zKffLK;>Gt#4a*m;t@79OD?hai?nm<0H~wDe9{WRuLqz8<&(b6^}TXIUbe4F0hinKjs@>=~-PD$#RIC;4lxoYI#uz~k{=kuk39O4*y ziO`vru$x)^ukR-DxG$!=84IVPp|lG11Jv?bSBn}9bH2))9g~wqU~*}GBpLWzQnI~P z(%0PAN34`h*3{Gl@1UB_QxXR(iR^{^3x7=_F$)AQRO zt2woXC77AfZiW$sL`M?_1_pjIX~9M{78=y>*-zhiB1rRReT=fkZL{#RTq{RD13H>Pg*R$uDZ|=)fT&BBGM=6zt8Ev2&q!TmKm{IH+D+ zIE**{t2Z5AQBg7Z9vlC9=Giej%vmCj0q6UL#l@SP3A0(T(w~1$8T09vNDu98Ohl?? zDZrbc(L`gngc7#Y`yA;ybEkYbOgY)~J8Nk;-Q_(vJe12;o0)Bky#HaKIRu~IZ9^Y* z!`}XrJ2x?%C<+yK`?7YWy-E5UHWrr2%3$8C=kB5u4-b)w^xw`#d-OTui1!*VbCytZa7dAO8ya5QxWlj&-_Hd34{V#gqT zcI<>oq}V#zs3FeuJ+w?mnZe6F;7oA;)34a}8Jn0PO3G_*I$C71kyz%~KPSTz?{4C? zra#LAZ721|zwb((9q&-_n_|KPhi=v%5jp+(8lahvWxV|JbZ^WK0|oOD5gd#O3wnCe zYqRXbeyQca)}H~DM@M_>OJfzh8Q#C|Tr;et+WFPfa+kL*xInL>xwn^yobBEXbMyC= zcBZB**n~8}0v5f~@IoE?Q+}~tn{|{W<~_}@6;|}K{_ZTY3JG0$I$YSsp6MNkEQs++ z2h+G(t07JTT44f1Lqk&oaxyZS+Fx0Uu?lzYT!>+i;(Wh8Q9~&#EF2yiOF6K&K87Pp zvV!RtJ%oco21H&#p&2F`#)G5WdK8_Kl2ZQGEgh_~o;r&ALUxmq@3ON^dQyZ&s+`y* zB_&hTb8<3$Y0i!pWzbMlzDEV_+z<{%-g-*@osWNT_2R+Q*=d+v{aYjXpYi`_XZ!T$Z{q;i>0TN^1R5Z7-OxL^w*%qb!IMBrX5yOvCFDv zWo4!DY-@x|pfhX}EB_nvgXpxv)+8w0uC6ZApW&pen5gEWhEuDA3auhTId%1ymGzH0 zh|v5=C@I5!f>c&WepI^Go(5|%aabi6@9@RYLEv}@gq;pgrD{(g++zxBJD7awLv?(ySn_$Hsvp)>OM<3)M9{Z?gx zk&%&nw&SAt-fZ!AmZlmS_}sUq&5a`G=grXkAykAu&Cqk9->hCO6ki-46z4XmF734_ zqd}Q81!B2;$H2e{Vb5@v(=R%$l{r0_bNMa2>ogTtTPrEclZ3BVVOwWj|K7Vde^tz3 zRzCkvrr)U!is=}34aGo)`)q`GCO;}LCnx8Dni|Xd#}*d&YI*9~pUv)MEy_W932aQX zX0g(MHAf}s{z*f(!S^ICC55vvmR^DaS%_}dsF4y2;_Cte+w<`%&n&0>&ZJ;Er|0G{ zvih$oKkA6VLeWXOlc3<0j3HsnJXd6Bg5~)OYTYii zKOO|nC!0T1zN9NS^zKgl#~-P>IX_%oq&^5OzzD97Rou)|pUv>vs4}nr1taJcq)sdD zd=(u7quB54RACh|F&eyr!^FS1k9|SO2*4Fi$-Bk_c6XuofAzv@M+`kw37ZOt%{63>Ny$x{r#G|)=M-R zZlr}i(J4>=EcL@k;g;%hBayylv!1rFun?D!ux+x=>v>vQ)cpLsXV6;vN_>1g1}a(7 z!!g~-8}=|WE;@`7k_T2+RM(L4`0?$@;r+kkBJ-(s^-Uwik07WQzA6&SbmHYL@*McR zvqM|Zx0{9!`QE|VfyIh_;QjrU@7Z^^0VT}731eu6;Jnq0&wGO{KEh*seEeIHkxcFG z553())tV5GpQV<`!ZtMUltlF6!C3ed)AdIiH`Ub0V35bwB-7HR*DuAWhq2kxsKY}+M@hpr4Mo4#vK&v zJS3&0Oay7h)^zoyw)7sZ4pJp3VWlf;vDdvZE)`NBD=Mh0q=L&l{e9G&dMMV{+gn&- z=jtkKTeDvNE}V?vbj?=lNi&S`l*R){;-b>~~gGhAC*w{F~lww#htDlL51)W_bLmu`~YvRW0(0F1?QxHxI z#OCfKUPZVmye3BD_vVw0noUy(WlKZ(Nkf$6_l2xS_#lum^YfEJII`x;RLirDf9fFR zf?hcBkm>4G+#Hq6a;2l~4n|c?%^#i#b)m?zVtI}X=hGj)gg(9bHa|#vs_@B1p>4@Y&NbGdDL~`u1k2KPzl#uPu_2Ra%+>fJ@s)osw@^ zip1)gnk-kYU=egv20{y#CYVB$=2SU0=z=vH63&SAp|snxTtSADvYQ` z$YbcRQF4c@FmZ5($ArqOq>s05j(aSoQ%QS^o^HqbA+L~~on7g^&EmQ-9>M5$Ts-<1 zHa{h#A8ySe!{~3{9^B4W3l0epN;YDPH)#zgMUquuP*9s26ES2(&ICMUCBReaI{QL0 zI9SSxMfUpZ*RN6W>?)xUUJCWA0wF%p1IBAw8Olf2gI)UJ-a6Nh^$7M1f4Mg|Vi}~2 z?d)PZ7`zA|^N3Hn&k;sZ@uLG`Jvf+)ompBM;oP9no)%)6C`v>6f}3qLKY3mqTVho$odGQn&~ zXOEEAo^_g(7X`pnMF$6dOj&;>+~IKx2p2G*IYUmvFp_SQ9_+JobF@Ax(JV*Uo!x^+x*UsjFNlIAwx1k%5NR7a#B@O z3yh`}F&+K<81e@nV2{9~&4vbzRb9pc%}Bsu;YQek?>RDetN{PFoSp8=NFHysd|P$~ zkk=T-=&QXsf&p1*u==vxBfm1(iK_XKbnzK{{-{FyD%IVpfna(sRhY0NhQ7wU4+lXK z5_AS>P&Lp?9!v-EQ4v@hu(7aIxAAqtU&xo$l{Fsae+s8TrI8o^lfvqS-mgoB<|Wjx zUcLHMQ4uE3V!63O0{12@3unTG*AIz}C4Q$?9zp6NSaB~d{ne`retu_Al^{Q&ntxkG zB`h=3$V)3IJY_lY!sqq%bu{f$0Y`iLCyPJ7^|TxFF#$k+{`@%rsdWQ-7Axk-Zh3mf z&AIl3moFQqri_k{62rw4_1HQKH&`~NryH44SKu|iJrT6Gx1Z*9eoGX!e_gesaopFz}+uYWhRu8hww0$<*;~kYQ`^QJ47rJs* z{^Xo7&k4*=Co3#ZtV&HM;~DBM=M)|39L26R-*3;YGeF zFAM6w)@Uqv(~itoFx7-F#f0y|x74q*(t)UpiL?*2Z5!Lz=x#E{H?|l?^K6vkx|ZCE z%jXW9u<38>p{Q3Dj_W=!`)6D&8kuS?)e05cd1(dEnD9}N(9%XOEtwD!eP+Q$zh{ny z9q)fVofJz~>UXzuXMPIhlig0Pl52}v*$YX_sviWJjmhFv)dQm5;?dQ|S!fi>u>~|l zVjGNqK;Qb{K`A2PE}lDre!eW6@uAvQzs2(W22cDA9t`W3*DJ^JQG%x{1nK?3$JeE< zM{?S8s6@_7a;ts#)#ahP6lJbo{kAQe>!UZ_Lu-YB>D0p3Dv+Lj<-Ap|8H=%4G~M`@%hXT>=hES!_?w1IRymAxe!g$iRv~K& znMCK86avOURYLVk_R{)X_@s1cREGe@%z<{U|V8}y@Ocqr%OY&jg2oI5$X znkJpZX6rF9(nu!T2yfas-SU%Rzq&xDAB`-B+&biaBXTcYAK%yv9y>|j($>(enhY;_ zbw$*timD-pa%Onmd;aB;{k$4lj6P?h-yXU!9(8kI8tLTFrJFU?Z(?IH6b0GOw=51o zDqBaIY`UO8eZJfk4?9_sxU`%$UcUv_88zvcIU~rrLb2 z=9+4j)^0R44xERq=ht}(*Ab_RkPqb9a9x_U4QrSp#f3|~d>CqU`sHS`(O*$V4n`RL zwIcz_qtmZgD42SCH)7%_yzR#HiSgH}zkmGmK={XZQ*(pjZ(m-Tc^u1NxR)$^jf$VUg|BtqxP?XR3o&lq`iUAP+Z zYb1=w6_C#k-s@rTJ^1$KCQ@~KdwT;(u{Gf~B~;x9V1$&02Cqyv8j5jaC<$GD18PUW z7bN#k-2w$*BupPYO4XBMsm6wZ+{oB-_no&HIgEWHdb;xDn%8TY_Py=E0yQ>QF27%X z>?DWglIAwj5tSvQxq`_*YgW!5onEd)?{k?h_u>8~LIIcn&W--1qO7do>@4_RB{QZ^ z=8O)=7Xe729+fpUkw>e$o>9~S*Z{H*ex=$?FD{1t`Qr@PQsgWuJhw}KT|Jp@C9La> z?>FlEqAB|RK8uc|naM%0+t&`H$R&LHg42~^`0FGcjAZP_M|%i4#q=s8kV#k>SYz@6 z;($uR)jEEsNT&oF4Gm4Z-dhaCbonx7M=WE<=f~ZxOkO94yH~GXZ3OIu9wLW^!X+T6 zHLns+ClXIr*5~EmKtoXxU{eu<{z@ZrK_AMz;44hShGnl9N4|mU*nI3&Ju|pqdTh^z zBa_yp;2J?RrfhCJ)?gqS`72~uE_0CfYkWnI)5T8v8b7OEkJ%QQ z63{Pr9nHr8lfa(*+k~ut)HX1X{VrU*yd5t&9zM|5C&0l8+bbj@6?<?46jNPN<@y zk}n8@uFDx{TjnO9Y7&OPqoQ6YDauGmcrTq-L`PXE$tp0G3N%yQt$Hku1u;gSa zhq`y~Fi%fU!=s|+{S?&0nv9X!4VD?}UgGOt0;yPOx4D{$Ej||?SrZk$T;5*2biua{ zUG(Y2@Qt~U3l&~j5Wy~!#i%J4#QrB6It)n(M&v%KX3mN7!OX(qX3;Rzl;ti$5xK9-)GiJc9{+N9s5?lRIBHapl&>_6eN5&mf#sh_leuoH`oM6v3!GLJZV28I|w_`2C` zZEeiguH8FMv;_cuFdNAWG$wO`F2l+_C8a>PIfnIHBFJR3g&P}{5CA6Aj9W7VMi2Jp zA0PkLl8#}coPOenHaX%;@w~2Xs{*Z_YO;sWQM&OwXH~p5KTFWl)C_%?qdYU1_Yifh zXi3~<<>L46-%;8b3BJeM9c{;bQu}mj4(XOziH}u}V#os4$x=lR4 zxcF#qZS=O1QZw+KTfm_`f@vQ1@RWDX8qJ$ezPJ*0Uu7yF)2N=7cVYme!ed0%Lh#Yz z=BwoLZK@6J->ejy_gY^?&F&TQAX!Q^-^%sw-u7Gv{F}K@i&%OOK)&%@dvxcQFJu_D zC|n{U1#9bTzrMZ-O5oB$$WowhKY4bPH#Er1&d%~#^wRxV9VV`?uTPfp5;pYxyRa%I z!eV6sSs4jr2OZ&sqVcMM1q}x6y;B0uwcfWJX2utvE}H%M?b>)V=$L=T)kxH8Bpo0o z(8}ejo*~0M?_e#*#Kd?Hp$&Bdyb~6tfMT5P-n(?_d**aX)q!??-8Z~ViT~Lcj*c#gI z7ERI!q;Ie=?bv*^R#dX^TCOSr2E!&?wzXX$|qwq_uJ zL2H?Wh(CdN-Xxj9XKVMH4JO97zcKkm5p4&n^)`J+US;W5J5r>i%d^ND$teEWU5(Vr z@-o>Uz2@z5jb4%G(zNmSOLX_D(JA$=u#Im-hT$A#)#UhiX}v-|oNEY)b?Lon)=QIF zl*~Q4>9CiQ-1XAWW9*dm6_oGv7+byx=yf-hpEE9t-98#Gm==92*t3VN`rT=2H⪼vF>%`*`m<(!{$8uGa|&y&29S!j}(Fz zCdOn8zP3;{yf@jbqARyWnkxPGA)}JI+*ZrObaQd*FqoL2wVq(0nhxf;i9Y(zoka+s zR$kdEw4Ipr79`w`5Q8j>+mL<9q`$W$S@0Y2!%$3nGspA0Jw%2i(PXIFKsTZ&cGzZu zfo?ufaTB*u%BS}AixQVqWZ-lu;d<3qJVu5~Z5iv6!+3q~L*lOzO;PjD;=r;m)-ZL< zT^L{3Inu7=3$F{&QEC8_3WNJnw!-HPKC;<>kRr_qz6jiv&G_bKK8veU!8(Wv!`s z^d;_w{2%+Uw1P3@c7yWBrylOO^-s6uG9b5{C3o6tE3!OTHf7k$YzRDAENUE6jSj=X zntmgDy5*=|;pT#** z4w61#A#GIz_`;=htjd|1c zcOW_@!4D+!naDZiE65M>tf@QRqbBoDKdU8|u$YX1_c6|YIir?AVb^gQA(6P&@|D-O zg_m;2SQvlZz~Foz-0UIx7wQ2nsJ!zR2uD(S`ee$q|nk#6!|CoBu4AoLyJ=^raXdH4mr$6|%RLb@ z=k0tW6IR^7WJ6uuXARKhJAi&8zKBQ#TT-4{-fOiXo8PKeFCG)8(zN#BOk6v}s(fwa zk8fC0B(j&*)1IU_@Z6q*QO2P3UM~$68_`w^q~-pWZeTpT24?E+4Q_8s+fo(bt9JbO zC0m}9L$rM_LoY&LI1jd3h-Wr8r+#Q$W~t`Dto}KR z#72Sl5=2)Fnvy!cf7;aNQO>4B0tW(o>P~96jgw`tvBZX#uOKU2e!XZ^)>TJ`n#ZvA zY9Tv2`y2o>dj|(upy;4O92ONt;Jr6$f%0F>@FD^lmEY9V6rpILUuis1?J`p90U)G6 zGfO2?TC>C6(GlHWd|6&TJ>VXvth@@b{GUIK32OA^>9t5Mo%?=?yI#!1a+%1!-}w6t znPZ#R0DVPASdnDe^LAABe}Ti~bahiIrGUtU0w7tyf(Tls7Z@2CKWY~@uk0Gg%d5+{ zd0on=%IA7dyctNI7c$}~Nnh+|#tPKO*=XuHLZLU%=d*mx_!jba;zSoR!aoz_a~VQD z261t41Y~8gK8uVLs}>#lFDB>-5t|&nArK5w7A3{I^4PwoT*O0XkxyS;%m0CUv7yVC@pMo5Q!J0!ar;2@%tba^)wuUcmnm0GG% z4EFDM+Y?;`Ylp1(fCjYBoUZ>kON#Si|IT5eh)w{^h|a`TRubxoig2 zsC=d4-2<6>c)K?ZUlDorn$I0gm23gw;;X{jyt#bKookN{8&fobdt92}oFMp!r02Kd z<7?{f&bOH$?T3$lS31A3ip9(mB{b#tmuAd#Nl)um>3~mb^B?P0otPX#z^#=V^2kdm zl50cm*CcUcLvWY@qyhoZ4p=}mQP&^Vz36k@a1pmFEZ4qKtJc+#42?zh*~9Cq=Cr{C zg{ORNk&R{##h!_HBiqSSD8I(214StXfZ|#0XO9o}3!QMcU2mw{smSmBmJ6?tGQvl= zopfx#cq~?=yoy2@wE|QslhjdPfd&yvjfRck0MyjtXC-@{e9Z2B!yEpQ*w5=ENryV{ zfy85uzdj8Q{#Flxq%768P!J)k)&OX1Zsd2=JBf`r3FCzE>dWfNiv2i!8C528rKLwX zqMtb+GH&4>f5Py2K6(+jT^Aod{{tHstSM4`(_3kGtKf2)WB24d!&+68QE z(MQJq0)|m50Uu}a*3NeDe2)ciWQ@Kly56}W%y_>AaMyz`*|?jt&!8GHKCtOsH*i6= z+EY_RxwYOq){hOPf$^6(lse5lgk+RCeHF=g_O)%H84s$ez@R%?C{%{<^)!;x*3JwD zDzY^^y-R)x=W#a3?-dEuCbtUWOw53aT$>5FHHW4DmAfU@Pq#WD^ES7bXMD(NRQ&#H!~Xvb>Z8eDM`Snr(0me=kZ2hlr3R5n zJIHoY^@NZ<3WO}@ozjjH)@sx4k{Qv%FSjK}CxXLp{x7xI{sLHuMAR=xzY+8-ljEFZq^j(|p_0s-M>2`%Nm4Li26aU}T)rjh%}fkirU^nz zWwKsqWYy!5EhoHpWUnh?SvQtu1Gk_fk8k=7DQXLfdNR9|Z{NOQX7)})S6%($j{-d$ zK%gOSHyA}178ald1Xul0_>YyLm9T0&RIu*ne7`3V?OH+ zHAPaVV%MqKE@58=Ze4|P2WVw9wcp*)6W~AXyxQ(Z%zl#-?eIX<7#OBdObJ$qL9TT2 z(YZa_ZjR^VW4Z9zQx*vc+Kh}0O-uNLk0!dayE~|&!Y$p$&|~2eNW)B_X-Jq@W7b7> zO}8{x*;8MiPLQT&S1Zl-4j{#K11uIRte&c*Fi!tB69Fvr_Qmpnkyps{uRdogQVSfQ zz9O2g8dxTieFG2e)V0xu2)$Yi7q^`9wfWckgXRYkRVMJ-$VIA&MCSW&B3eD)X@RKe zK8`=K22w@r+5<3fUTfylUUQnP^$3rMARWG|q%^&`8Qa-;TU1oERIO)O6Tt_dGlO>R z;FwonxOnJ~+N6?aTu2~nczl(tTjNfBh{#Lf-aP_@$p@v}N4*Lnm@SHK z_szQft;5x#Ibfh~Ja`Z{^4kVflM)g&t5S*(E6sQ8AFx&ziM&11Z71Rwrgh+~!(~^) zbC4_}0fyym>G$wV-d}Tzk$-1>4aRL8YBI?WkM!P?*m>p7f8G-(geX_tltORD2;F#y zo1jE=>Q|B6#stl3_{WdeK;afK78Ddj3VlN{r(ebkUlO*qx0^t_`f;+j4y1L6Tq8qr zbVVDV;#wm}9aHsg!9!{0sD9xu&8H1@bpe%35BdwoyZO4++z%lM@)-2bA^=(H6&mV6 z=jEk^b>j=w`GK1}w&ih3f2~E3xRMKT1-kQX0o^Ml4s-3|maGaL!L2SsL*t<#`T$Aa8GpL_4w82xA`8e!r6fuETQK|=Y-p13x$Kn)sw1~x(<`~S z)VvzYpU2&HxB+?L&$ffSoe_?+OGQv1Mm_?ut|E9P{Aaj43(^@q<)MjM-NZogrF^~p zg@atLw$D6q+S`>w$wh(gK2Kx+Ji3D)pfPCpLbK4{P&$!flY|#%Kb;rsgI7rGbvf1xLS{ zrgdGDH8tn|{pAnBoMcOKyJq%KbU*0IuIy?Bd1J#TCE1@B+&ziu>@>^-p2{k`iU;x74ql@5>LOiO;E@dmg71OX@7Ao z3&|`YoTpodr&~%nAH<2bgLu@QN1|^lVzV@=`^^+QO|VYCaJRH^J)S)_wWU_#ioVTt zRS{OWKbPiFS2o#!*jTu%TUh|*=~JGg{HkVKTU>d zH4|3yOAOo`g>RqW~Od6+O_z+eY7lwkYz!oT_( z`*bk;C}}Il98kgl-ssMsloZu1FtxGA30+u{$)O>u)X{59Ii+M>L$VcA!NZu-Lfq4T zUA|~?y-W13;XEiLYCTC4+HzHE8Pe=xg7>w(aK5B-Re{i*j1k^)Ep7T%_+#t?##ZUE z<2y>tX-5;W@A#Z?hT1XRSPPw;dGgs!zj?MGOYbHYy|_EGo*Nn)zd%*5Y~?O7+Srk2 zHQJ9|&Urctx=0b3({cpgt*S|&7}fe*>-wVr81io^^M1mdTZW5W`_PzheL};ae|7Om zmVZSS&18&~yZGQe!x&EYk^Gs3+|WpcF0FWE`=3KZc^f5;B$jVO6aj_hySBr$J)InR z^5&{o*CV;&bkxiA)d6@anO)R)4PkH=4+9p@fj~`Z(<2TujUq9p2Tl2!OokJLlM~8V zB3@VYZ8YNesn}WG3L}*sQaY>glu72SzqRC3vCNhwsC2r^`P|^+O=Zg~j?cKBKeW>6 z8(uNyyU=;{!wm)1HlbLK1Qbs>XXPkI0s7X;V-bl<`s*)&v~0eWHJ{%N%e?D+diwA8 z85a20=>|X(nD7^W^4ChW4>w)!Jl0?`j7U?Xhf6zT-wWf)76*PVu4t&`8p`8w;_lP3 zC@rV&SEo($gYyfrFO9bqdg@%Dlt_4Nn;%@FaDhD<-74gxkV+<0<|O9}%=zwv&UagR zG}qR3qd-;iWw%mIm)?E&ni0nUbCH$d>!GYq`oyxRXI}`fa*9lUzho1?Vwx4#q?6?z zuW-R)>_e4;>ZRb}YZ6u$?Mw4s9TYmSK!+8HPoyrKj;{uPkC)d~_t!%AzS&UjCR(;Q>$6hqi-~%=&5>X7 zlL)VVPFYpW6?*-y*NyWo1lcK~HO^&d1 zT_TAD0;q}BKID9`*|QR})^IG(CI3%Z4j@vV<#{7KMv!g*YB&_fu_mSK8mt(mnAe6= z>MXs{R|^D@1@uCx`*ZITY}AuoHuzg4(+f+g4DuaPjK~1$p0b z3wp!V(jOaY3h@>QK5MG(eG=N6t0+6bAZvHMN*x{OZnAg+#ra8`N7!iFlqRE?Wyu#w*zQ0}|07F6)Tr+;b2!eE8# z-e!(B)Qa@H`A4DT%93#M12w~lgA*K5aZx(Y63hhbyVbqM3L#CG3$I$n3tc}LMTcS%WNHPz*Rr~-FL`VA?J77GROR(n_gYO{C$?^P z+Lf0d0?dV|!9hxG<9I6c^am3Y6AHwvIH=&@;OT?yIqh=mS5#)aM)h>i_-z8Ph(aOW z2vC|7Lxp8MSz9&f=ps(QA5Gc(3I_RQ|Uj}BpZ`^?xcUuL>~{W~W&Cnp|EMNpG5BIlHoLx(=_Lv|Gx zW5diVcN2~K-`;ZhJ~uo2x_?Vg@q-a4UqDS3u8a0>BmYbH*r|sLNC<5hpjU6vGB9x1 z_Tv9k`viFan@oGn?SEczY}|PeX7OJYN9mnmL6&O%f2nw_iJS4^;_qp%S69lLo*aTZ zVddR$(&9?#Pj${q>YNE0z9YqFZ#rOXLCxASIeD7GJ&odf z@{Ng3!u2DyMZfsZ!^#4k)7`|O?Mh|ziWR&AFGI~2M6uzn3h)$gL8Q*(6k$Y4r zcC=+^OSd_0jG23dc%)@FN`lrtf4;6?>#nK~>Yw(!hdI-; zvw{BpsIRFa#MIQ(2jJ{Lp%8_E^y$H)*49?z!#~U5w`i<(S^cO$m4OK^F!+pOshn^R*Z_btT zt}0A)3_D%>kk4vxce2CAh+=atCUQ7FckTr)ooax1z>61TqT=FjD=U+yQpjD5|Fc-+ zo%0_tUR=2d%ZuWgwy_Y46se2k|M36rA~_IQA6zE?!$1GGtcIA=Am>#C+4Q#pJ&}(F zHRW~rH|4n@^2q~v^yv3|*Sf(a7OMadYemtCk=1$b%7O5GYj@bF!Yu*9VsO#cTjjnd zf^Wg$1J)cFIyySU5O)kkB0_d-ejrs9K-9#KA3r_-GsiY4noHeW!gF7J{`@%(tP`Me zrmw21q7t=d0xuk~o*uCCG^DB}pRS~e*8y+!)@^fgYj-!Ku1*TVVlhbZ_X;UMy#&~G zZGC;LhDLr+ZgO(6@?>ue4F%#dxT!3B9cexb&&8rLdl=^Sf1}J+=5@-fE`jd+jb=V5 z<(@&qE^-X)FEgvFT!lw}|1z_(&MBy;hkwxD^tlJk8llZO5P7#)3%5*7HAFwXFF$yQ zTsY^S$n6ahnqAv7u=ODpiD^)dw{^v{Bjj5Ygj7pQOO*d%Ml!TuZFDVIKD*ZK^OKe} z{HTuI+1c3!MfzO4igXnz@Xb~(-fXG19AH*N!g}xp^43!3o1wbWOU@b-ED^c`UeKZhF}t=^x9^ z(DOSl=0O*~rT`s?Tn!jtTT9P626pANbHd8g%J`Y8}&!F*dy|TZ@R{6(B*A7czKE0;x8a{(=zN?{E*B{M#Qiu8-zWv z^q-r7kFW0lMiw!gY zLzKCJaH@a6|AkH~VvC9Ts9S~yGz$Z45X5=`4!*M{0}u@cJynt?obfqtjm5OD(DGMcyrYp2N**Z089`Z z)(sNa?%ccA3g%3ZxPOCHhHzLF%lxqEi=XtfoYyFqUsSkZLB)B|&CLx2s}*iSOW4$W z#y1dn0fh`R;y%t%HFDctv26mYLJJ5Ez((~g`z~cItTDdS9+W?qR^g32^&exLhl`nh z;M_58dv?iG7h3j+Dd*ttU)el$7HFwPQg8?MKPmm`w!1O}RzaDywKc@Dk|E_~dV2iV z)PNC8C@5GIm_R}N+381PK`tQaEX<_0Q7Ra^#?3S z6jkSh$Qg;)Vss0BtWfQ`P|5(c&%(+IPd2@=5koCtZVb*U2!W!I8PYusSDhRnLYAOt6@Mwl31B%ekK# zinwdXD(n=e>U|K~q$vnM5bLs`=kgWAN(({_C^yhyfwlRNlauoU^hy(R!rp8+ldeBI z^%@7iaI(--3PjGkNYj%k!MKTE3oHk*@mpNflRy}fIb%k8G5aRdFK$%BFV(%sE(+KTIaxSWIB!}nkY z2hk9ZR64MN<&s#IghtX_Q6W!1(jWazan zw4H`Huu(Ta)~%c-8i4Tj&=`P}B!p;~-@bi|y?PtsR|P5{JU1SmH3<4G%E}Z2aCK%B ziSNm-R(>sj1~T}`)?Ju2TvRZ){P=sG2;zZssTnMrt)&*3KAN9OO2|QjTJQzDQm;@q zpgHsraoIZky4TdzwVbkh0y`E9)qHw#v}&DSxDV>lw$kHcZ&}DUh$&Y=AvD={Wsn2R zwx(@({7^(FZSCxkgT$cVOS+iTduTF*1O}qZl3<#E4;>xFEH3_&b1IQr4-+LPCl{FP z3ef^DARu5^GRI1{Koh*?&ERpyk|ha-ItU*X496Vkz*v)Va&aNwTpq~5hsU4w1>ZU8 zJGDIfwGsaO-}Qfg(So^|mX_;17B)5>P}jkg(qLqjWqBSh6ZCU< zVGDo!4egN&s9-RGi7b1bcd>%FN96~XJv=;2wx*jjEkTNV6E5 z`WV3AH`~RYd2s+)OECJ4ppjL`QcY`*p~pvwLV=4ihL3|Ds+l!bG7wC#tYGvU-Q5Fo z-;*b~l^e6O=)}ath8gEP9{oQw<2G!7_EDE9S&$f z%)t4cinneFjV#psgle%L^4Xu2p>EC-@DS&T_&t=SBm{kwEJTN505slPO*o<+zs=GO zN#LcN&pWT_8Tt87(*+ZhLY_Utb1>jZnk(*LXn_#kx=|15G8pvH$kOr_6B9$+gdo%& z8mw`%Ly-h6BObuj;UYyVD^9liDVXra0F+uklM zujYvfdN?&e4p3s&5h5GtXzOo_2v2zeo?7i{XO8p34E}t(34spB(0v9AB=G#Psj0Mw zyQ^Uplb-pL*R3k}RDe1F!!AImwl_D!J{dQmBX(90Ys-OWH8nk~q(s2%IyGWm{+i66 zH7N%9r?w8}lu(^Jqi z2X<%{cJ>@)PgmEy-86+D#6xX6A&$BMR$s&w2uWD3X!sErPHY_SAq{Ikgh5NW3N8#F zCz@cr8()6~XGtI-KVK3F*5E?vFMFy5b%scuzMh^Q0+<1j!Z{0#qa_xkR8%9J1#P?i zPXr+WHv*{c2N+nKedH-rmQe8%Q0mO|v_I?}R%mfT`Gsa|IpYhLEq>fhfh@9>$Oz;B z38bT^Z(xvma;p&zB=}@Kdi^pRo30D>8Tk2AHI!}cpHRDOPSO|E?a`FmPCP@-N@(i< zvCG?3#8ms%-2HbKJ92CYVmyGcx&@We$8ugc9Rg9(ft4IlJ~BvozW)4~4EjOfB5q3& zdWzUvAV##bwR=6a{i@2`oa$$j!~oG+%k+ zyZ9jL11UfbGraV(j0=Srdch(wQenpkPx-j451+TzA5@yNg*6+^kd6>o4Q5Y(r_8`2 zoE;7~@R@bSdB*NTA!7`o2P`$$D0mGCz#Zbf-9~w^(+7u1s9El0zFvXLTU%RyvK(Lo zil`9|$AD-Ez2%m#uLQQ?+?3bgRD~FN0A^-~!#|d_zrS$xNF(6Pg$|06@LXyn(Szl9 z8cwQl(S>+nYz9spMJPewtdnQp)>rgCJp`WtrCvoCF=Gt)rH#RWfD|!^D_~=yW)9#N z2rhAqmp|751$BISv`HoAco{jC13VSwUp!z1;5VG?(L$0BLUel|IB;Ld%h`hZQ`@D_ zHU<_LQrsfi)s4zIqV4X$r+L1U)qDS%XD!m58^5pk9c-E0OBcVC>HYfxay|rNNYySj z#RAhb%+26*G4N0JThp@6u!0bd197zi?m!L?K~2xk4}KLW|AVL9;41|lds1rZ2q?ipO&hcDv?i=xWB)@=e`F-_UBOTyR810DIc@F zX=}?9rSM2k{hV3_D*Aru9k=cOMY-$p8*&XTxTW~O&xT1!ne+qfOXpwxg#9brqyN;f zja)^wrU?u%#(?OuCw)K$5&-(mS^zA_StmG1cwv-b0MQ2hZ6! zH&S}cAzj{Ni-)sQaFnutzc1wN-zC9BgGmHWzbug7zze$eD2l;&YjP%ln*A1-%Gi|C zuDQd0rp@!NCg}QU+PMlJU>JM_jMU~Scg1xNmrv;F^u~-?=B}a?LzxSOSn}4+y#^8zj_wQfr zT6g~c)bFkB?JRtJB&awT?$T00{)Y5)df;id`}|JHfw+a0*M@NTV7#BQQAG}3fv>m1 z{pJ{%Qb2#WLv6Dm_F(WsiG{{esfCIe1 zYB-bP!KRWCMJ#>rS|fHW4xoNZcQ-x|%Odmc^rIl)2-hhwFH_R_r_U9h`%vez*#$UN zEDX+Dp!Hn?uOEh8-7W=O^5?NO(43rL0yNnbuY`fY01bpc9D@b&tz!3WQ#c~0#}SUi zLJrD$uVv`b#;KyKO9Piec3ovvmC28fIsgzgJ#-z{@(T>>Xdt(MjspX@LJ}~+LDqZI ze?r6{84f2zzyTA^%ipn{{`gq@^Yr^&UYKh_SlzaoJ}Zb~7Wop71}KO~QsBe}=Nh^O zqXu83CI)5K&p)EDGyw%mARyzsNCjXJ03i~-6^fiD0_Sl&RqOWLb=MmjfP)p-Yz1E3 ztArTwX2@zAId-g@x1kkeTiZo`C;1vN2B|@xxT z!68DA4z^|hwO;)H#mC+ol z=w@bSOn(9ngn|3?beQMQ<`kn<84ZG#K=$4L_9;S6xVyW<)W>5&adV8@6L7;4x^waA)H_Lw~!xrV(DZ}+dN z4rvTQ*lUMm76HOKorR|bnRinOz0bYL^682pO~HnCYnDlm*m+_C6-G>3_(^UxV*DSiy?H#9ZQnP#NTg_%5UHdxmO>;^NfMRJ^F@*|GLs?FKx7u8A{EO} zSmv=onM)Rtp=2IXhE%BiJ-V*ve(wFe@3Z&2_vi7)om*F@wa#@O$MO4pr{Ar8Zemf# zQg!VCA0gz(Tq_G_8v=^Ze>obxw7&*Z2`E7JOl_N))EfHg)vH%>alsG3!4ZhltIBle zwF5nPFZWMspRi<`CespV>IfX*Px=<<*?=Ptw)Wl5EG{GCq zzz{OjRU(br>IT_PP?N0f$sHRVU6!bR6?dCCponJEhPEa-&QfO!j1Kqi-P5)L`r(pv zXm)yfZGq(4p~j^BJV13Wqq+~}+aHAdj!iN$T-eSyW;4Ye#^c9P$F|~#${u|;^8;!w zve3}ry=!kLR46iObOL^iQt#j#yK!U-jsdd$S57)Hh_n%`g?!P3c>>w42d8w5zf;pX zb&7$eZ#0qLk$Df2F(k{dK(yADQA{3L?vU#Adek4Fnu0GSU|XQvEiEmrx{$u8JjQxR zZtLpnbWazZaq3%}gx!{*g`KE6|DhJ#QLe+!(edGzKfi8jLEpQXVO$wDmcZoX%>+gv z>Mv{z?hOhhJ6_t?Hl^)qU4D-@r~u&`?)YWS~@bb(K}k zx4kziEuWeOc481i?H?FmR7i~Jwki4)x{pHP6gR$1r3&L^e!)Sa-@ijds_4Z2n9XuW!p94p04dK9!DSr5c1`xc5p9KO%RMl)T; zej_Qz7zQx*@LGG9C$lw3EYeu-gDnR;s7L| zK5i(8^2=wVv)e|$A_R^E79E)XvIqo}9{{4DCi6v=aDI)lJ$I2bF)`_MeQ(!xn|ogq z5K0nSXou)SEKzc$#@jLhcJK2)f<=Rv@W#7lAHY_`P6J+$A`)n9ANhJaH9XrpTLJYsuDuR}mf&;ZF`Eay~8J zu-A_SY1QurC@6>HyZ0xU{i{ey0?qdU+YTwjvAL5=y-6Pf?L)TiUQPkgKVtnqCkp}; zH{){$2$hyQp6J$HHP)U>xB$oxVM#k=>#|tHs9f5<)4gF*IfOgVzN`2nX{N{tjx+kN zk52=8zhRjXY6dU%eCFwN9l$8Chyg1Qejp<&yBS$bqb-@4<7w}eIJ05973zQ)4F9l;o{zvc@^w6<)uIhu}M@^&2Yuv9&2*T2m?pTVx;C> zQi&AQi!Q@vqWz=j=;eXZs4+op4Gj_nwU(1JxF=?%*6#Ie=y5rI=Wa?4z5XA*ecq1~ z9eCHM?2vs_Sf%*f{w!!Ccl3;eNJ8k-1}MO>rEJGCi;O&7HV2HKw1`KKA3uybQvc!@ zjNWEwY_A0e+cfvfw6TuwtZ`ra4@dRoemb0I`+y~+;vxF;|DS-zsp$-@-u05A- zndHG77#K+6fXd1i*kuN0aF?WUjQc)YWJ`H%O+)*9D1gD$>5n21Rhhaa7ED9!ZwO>* zwT^c@2I91LJlxTDLB`m7hR)+!Iy%$1ZzAvglY}X;>FR&|BRia(g-S`usRxBJsO{nNWmgl8^V@)zX6lQ z?b(lQ>(a4Qe>nD$-)Q9$idUlyMgz7*kgjhCY4WYZ27>qo*@py*e|=Yx|;O8A{PK}=UtxF z=>)z(fC~gULmeUb0Le_Ictb=m4E*)W8|96EA<-%%KLanz6jk9~-(PYB|Ec)(a~ZZ|M$ zra#ZfW~(-pd19lnSpq~ z?oHx#@vhOeZ^ZV*9KoFR5qQz_{>n-Pg5?lu<8S9H()}_Ux1zs6-izFyoLU!D??%PW zPimd;Dp8^p>J8GoX6>mn>^xG0mIB{g2|812LLN0fu{_3zn=GdwBen{)?GwOr$K&^? z)Jx-~mj3!VN-Bf|t%uY<8ec4tQOoTt-QTS4m^U>sMdhp25*suU<>)1L*be>}Ga>9p z{Hpo<_pg9J{SV$dcR>rs2Mc^Bc&ntCB3LOfRPwCvY66N#V7Vb@*+-h`o^@OZkx5}V z2PH_r`;k9K8hD|nBe(FB5q3vILu2KJ4V^^kuLTtgnQzRERT0oesYL8!l^iQ8E3#7Zjs*h%Mwk0sd?}@_Y3tv0B;sgn9TUM$ z`ZwLY5APwOKqtbP8D<27(){_a&C&1E$8<{SM=S*|>kreW=-nH2#(iDlT0N-w^z^Iz zOLTZ23T6&$xXfHvQJkdUJ-EY=X6*KU=46e<7blH-A_k0e%RGighABvydS!7@-yfUI zqg)gymu{X|Fku$aeM}($Duqx+piKz8{sn-8RMEv$jq5X`Z6snDIt9X#=g}9g{1~DiO-)Ubkqi9FE>Vtz6$0X9MmbD2X~10eRqcAxQ3NIEeg_mG#(=R5C6KsxQYKa~$6FCDOS>%so*+O-SVS+tgniT4Z#w(PH1+U9to zA-v-PrI@-d@e`^u0;Q5f)Q|zYS`X>|!REDWIR;hU3#G6#pALARJ>wXC)Y|89M7pnl zme)}M$+=_PN3R|>i+-tb`F`t#%xV3Ncdtygx@E+B3$*srg>uVfCG|J9jA=UAs&rkX zO-bMFPGZ!`lU);$9o2izOu~67%l&mxhb;GO*;=t-$B+KK?pi)+OkZ5`72Q^N!9k|H zLVTa|)Z>>B(w`JwPvq{a=&GBoF2s(1>l+xj^7QEg=`hK47xVAm2J=SoD=F~`_>o;u z;_f{-{BQ0X%A>c<1|}Zh8-}{e_JNEe_8)AXy576cwk{SI7bg`X;3SeWNfJY!q^_sT zFDx)nKr8yAS=-$t7vQ@vY7$lxKkN4G!0#U?P^m3~{4>Y%bE!OgV!)>7kX{hqt5r5u}`S%dE; zSYi;67ZpczpnBb$52X3 z9`Y6!wkz(iY;z)qd?*o|{ok7f%F<=a&;wrvNi9X4C;66m0?nvHAe|7nZOO4D>HnZx zP_X^aZXw;^l8bDY%it~?u%3rCS2E2{-TD0-tJ(o_BEkL2&`JG!^icgs(Ig;tg?lH- zDp$)o;oTwd>eoMtCR2L47AZG>P5l0~0t!(jGqdFH_cBjlUn9@+4Q|P$puX%*Np3!x zy4qbP9m4o(UL(WId{%$IQi=Uy12IT6+Yxc$SU57;;GI|-&4b`KCAc0OuS?!JQKab) zza9J-dG2o6)(gv>X@UMt-sD;8(oARhDTInKH#e7_57W{!0CA8N{ZTOB`GOj15A|Z1 z@lCSA2z>+k_zBpr`r9(6FY@tFmT#0dwB*mC8l89h`smSil9swN?zoxoR|H`pnqf1+ z^+^{2-ikyTK?2yl(x3x1a}YME4JbwfkN`@0Yw&-)DC|h9jSBQK0me{&au_@@H#aAs zHbDIs7p|)rjVPu58b=UA1l3IBypEHbNTn) zWu(R>71lCZN=nN27uEk~HmrQ1Ij|pC4u!hvsx+0b1)S0!(jF$Q?%7`eE(9G53%H?b zBv5d7PLQ4oZrq;_QHjWsCk8mdPuw6M@@%pyCH~r4_2N$Jow`g2myq903 zQt>!-d3of8I)_aKY@AMYBwBA-k$%+hjY8dM<`(Ber(Ovx$+G@Y-tbIf0?#;wb9wQR z77dsLuMZ78pDT1Mm9nFr?%wt8QNaoJYDUJz>F zgP>LYdpkvPc}dbLKAE8R!otD?S;xD2NITJR>|fnfFg{aCjKUt&Si8^GE1;i3EkYu! zNHkdm&KM*@7|(C$0Lg?7=LI%f5V)jN1-ryTID);$ihx!8LW;H-8dU&GUuI`t_Wb%L zO)4C-BEWOVju%4}#J_|QTqpd8Y}B>@t(y+zzQ29YoaJ;+=|cuVX=yi}8;tlH-E}l@ zaM%f2a~CqIG7O7WgB1f^6i6Q}p%4m(3>?^C=N?`spQPiUewxE0{Oo z450JHOXH#oTOmFPMHKwH*f*MZ#ZOUgy_dUto&?TUKEJ-k5!xZyGPaHmGAjXUh}-hs z#Z@sg4}3lwlx^MjM>3e!y{S3d=Ur(BS&Oy8*&pzHt9=&Qi9Vis-Vg}%-AqWS=4dTJA^u`t@t8q@N+-hLhLPg#Fe#qz z8ReUrM|t9!&PZHuVg{62R?|;KiD}ZAb#nXnjZ%_BM||Y{JENCea8nq6Xjgxh0aibe zCeOi`UNiMLizFM?^56A4p52jYO*t%dW;Ihudve0Vvi0sgSaPP)2IbZ_WJQ0OocJdx zr7mO_+@fdueL-I6_ZK$FO&zC3yDy!gJ~V_FlWbe;%=4<|XMXLw0mY zI*gPFl20Yy(DFRPGXGO$X_@os(ZogSsJc*e zWsed(X6#1-by<4iUT|n#DzLae1-I9C;R3c)*_7{D6G)-Rtev`WvW=Tkm$>y{Qw5cuDE{V=yn(&ffdplsszS-0L+OR)Ae}U$FcQuSIhSYGKO+ zJB{?0dW<~PpKCcSm8EXe_ucMec(xzkY@S;CVdpyQNd7s*w;zOVk3h}9urMNn1;`A# z4W^TBM`4rTyMCDQ1dF5`Z_9eugamqi?}bHT#!vEGO-jwI7%HM3DtRi(z%V+WWPG{j zZE(i7@M9F*|Kj2{rtT`dliupq^P8<1bGdf%P$Kzua)~HDNV6{UY`3KxuTI|+;3A*< zHQgd$>nm!Ry+mur*$mdRFKV2%xY%tukL#ow(d=nm7wPhXlreSBG6BjMgF@TUYN_mN zYyF-}#A-HWAB&t^c5btExwdbhju)_XgvNYQTS#B@XA8jF=$&KSw*`^DE%O)VqYbX8 zdgzlsDkk#^HR&^@o8Z4f4DqTyYu4fb{5f{^s;Q2_UTfJw+Wl{D(iy3?<{HX_F(=))~n#fzato+l;vKt!|H!l{D zP&E|{XV8%0FOyX}TccBE?4>7Emd-XzdrJ+dq}GKWwFwn|&?YuI@<}^dYp{@Bx4MNX ziCrxsULqq@&rKq};pq37^-rH&Jt(HrBI}cRafUD3RiRViN3#w6NpWZTuwd(|Us>Zr z*qBA{1)O-ODj(rOJ>L4h;DT{wAeI* z!WKQ#WW&;QrDHT&a=5zooBXGNa3MaZGW42PtXW6?LMI14?YZ2j0aeS6b{y)`3Q zZH?Q)^+LCX8_{mo%if$G8J~>zJEiaCYt`lb+%$@N%X+r$dkq+?e3!g#FBjR8tbWON z@fw#4ptSkES;Ihyj9}P7yU!hgOEqFD?`X~2UWAaP z$kSw3m{@_cf&GaKlKiI`E?CfWR)VU-!9La;uPK__{1M{H0^l!+R3_hvX@Vfl^7)*aaKL;wCjES!bPNTBhsklm2I zjp9br($_CFvP0mFq5}QZ2z=dmkNnY-H>cE9R*GcOiZw=6Otfi+j8;m!JkKWi@A+jp z>ZfO-EosGIq^H)w?%|_t#^tS>#k`hV;a<6Qd$niQYfZcCvhfj>#oKK~rbb*mGF{^Q z6-A(YhZ01Ygj%3B1y`#rOaMS4_Ji!J%`^!@DRZR%BTd1I_DQM_01=smBW74g@$#Ch zb{l$5f<0lCN0w7>aUHR)ikeX)Qjli>M{#SrwuY60wXuiR>r7gywMdghlknS3c&kXD z?r9Dh8KXw2ew?t~!rVn?D6GhZ$z19p%lC#_+k7Tk^b5Z%rbi-alH&RGqg~oU%&%X^ z>Lo3dF?0FxQNrHduGLyxwUqsC3uP%Boy;dY==%2jH=jPRHuh?-me^q@npwc+j)IDd*B9rUOOn!_2J<<4`h z2ImP(P9*u@z=DE;Mj8qL-w|~ofrKI>*AQMDVyg8NG6RbQUo^@?vY?-tuQwQt7zBtt zxd`I{_ttChpoD4$1IPZ^2}&PAC7>21I3mmp0_6)!DMa(@Jl?^9F+)Y4+l~@vpZ4Hg z?Yr4`w*34_XRoYtK5}21=Duyv%CYG2hT+8=#G8HO)Z*zQyMG~e+(c*OcT+38t~Vn? zEG}rm<_f2BP4l=>b3R3m3{)w?q3GuB?J@~N3yvzr@p4EO7_w=p%c`Cq^G=$MkyV#0nvcI7JL z0}~HXm#HO4ecbr_yK(~Wf1su4hsFK_Ed@+e3A8i}y(tRQr>(8)h)9fEL^ZqZ(hjKqR#mwhzux1+f3A3kns>P91;ju7gV5#)K(OwkS;NRncce8gJaz~GvMmv%8>L> zz?09zON10N>wod-IAlqG{1qhiCx~gTVpIarZ&prn4pf?|i7; zC}nZyIf*UQ!qrxb`+K8|B~v+~QXY5mt6T0KUH+Vzav`mM<}7imyJ`ei6&9G&i&NNd z?+G%Pqn+_LW%aCEmi}N~|B{npX8*yuZzKJ+W`=IF)@h6<_fdpc6vo}@Ip*}7fEmMn zQ{I!pwxWwv>CevW{BZM~?sw(GhpHJO;TaI}=fC?@_l?-g{P6dCez?t%cUEK=3NCKf zIJgV)X33B!;F6!P9Es+?HOnX%T$5CZJOn~dYomov>FHfp=JR0M=smp(>~x_w08Avk zIVCW+lj#uF^#<8&Y#W>)O7N)!+-lXmdHHVxsKWfy zP5&OC%>!tSz%S&UkA~IVkIDKd#?3~x^ioMh=_(YaWq7F`{`PfRE%9)sYp|y1!HB+C zB8dCf)@<#gA5U{Qd+pQrcgWUPEG&rpIlz6p;UsI+AVWubnp}mDgV-ZIvFx(jJ?9EW zZ8SO-NvX%EjB9f6>tye1z29y~Q|mV!KIkp%dr9%|VfOT$+NQ5K4|Vjvt5E;J!5#QO z#bX78IgcMd_AF>f+{Z~&lwfvu`u@5|Bwv6z8$9j$aJPv_3%wi2CsPP)!M#2+IA6AP zfD2}m`9(tL+DjRh3Ey5ywi(E`z7iz zp3ZGB7Jwu8w@k@^?^C>ZQILy;BTlojvhpmQDuo;0^4H!+97Fvn3gUNu-Z7DgTih3; zy*YO%ol;u3TJHtNE1~qm*r(C{#HJrnJ%24zgZYHAq}(|Di}T6rb;hAuqswEmhL3qH zh-S5&kWh#W5Gr9X@TsNyWk3+$GMZGfzTprDvpwxcR4X;U{YfE!QL zHi6vK(Lgm|3^CtTwo;$K9#@0>SOOA~kVZrVs(we_jvlmvg7|jmf!16^xU4!XgOgDqKF*eth_Kzh$MzEm8~)MA48>( z7nCJ^0udcZa@_uP^bjEITkL&m3Ak4=iDfC6=rwIEeap^p(-WtwPpcLQDX(}nzCWGOdN#d=-n=!T z>oKDB1O>y7#&=qj?1vNY-s8ugg^%zw>whY25qpS{KNNU}x=nvU9AVt!;pySAY2Uv0 zLZZ^roRpEgX(?qFRR>JTdA^6(wTg;BYGd9v?<`e# z;?SVzpXgAb2aASjEr{Psay}rM3@g#F%rf%#fd%Ud_pWN&E9P zv$WllA1-f*+%Lv67H)SzA?d?4xxKwXA1=#Pty=u}YMKUfRIBJqMbWDXiA%Fw89T>< zK3eNANS6pB2Cu41ot4vo!_bxkxf@k)j#RyAK{`+TU;hjI`6WY~<}oxXFXu(gUT(SKw$+NnN!yy4ps5x3QWK!|grC3f~ER)R1(`*LpgWUX*); z!7^mEI``r+%}E0YLAVqeF)~>}uOA~O z5~W2UTkKzKZ*|$X4|=JWn02A4EK3cE&Ii_ zb^FINHgWrG);ctA|9CEC^;0TCdQ*0a zA52A%fB`c7(XDO5!gc8hp8qY_Tj$hA&lWD>TYc~6^@-(Ke-9VfE+%#*;LyUB6{iO+ z{!Bj-{$+VcdWTV5YIKpnqU|*q@s@P`#=IL(yVgpH`K5?|_`tIFJ7sydWL2IwebR-g zNqP}72}#5ajk(XpW&7)qQ;+Bdi+ky(PZco)_InQ9XxQM8xlYv~%kR+mhmzKuLo@ed zNTf}fJ_Ad_h=ojF&bk}VeP(2)kmme_q&aVyH!{GzhK`kqg++SrwRa672tFXbP9Wlo z(lmw2x0PVgsjI8ce2#?D3UVi+27`mZ=IayawXYLvnV4AC3yVEK>!{#yze%kaGN^;3 zl>`VF7CWb@iwETAL)%)9!VClMuAqiAa6Wxt*0x44nI|QuP*7K_@$vH8)NMwNZ)-Kq zQCLh=SB?)^vfk%iNN-&bRix#7ywqUNu{3Ti-?tc@>kQx2IvyT8pTjiJFL}ug!H`NF z=^iurf8vz3r|rD^sFRYS=T{}5Nz0KgqnApBXfV&EQ#z}vSG&JQObrGLAyN08Rw~9; zJl3hR8L*Za(^~qyAMOi79Y1yoBy_0F-?&7- z(FDB82FmV~zW!3Lxd#iGuajISx`gLuvt$Cn+sVBbRN$qM? zo$-j{cl$2vuW~;7w#0$DK_s(&xqOU5N7Z0@O~JDQ1-Cs|i--<#)cPQ*-hV~bDm9up zN|Rf3YU!3^LhRey67)00kh*p3I+wbu)MMlc8F1WwpMHiG(~p^+t<<-Bv_`p8*|<|J zO4R5QETLP9pCEtHktnl5yCb}55Ax2ed9pR(n*PjNn5Nxu1TL9 zJAGp1xD9I-U3zfin#8!nn^!H;-uQ4}1(Vs%xKr9ztc9w=A>{tv*IsG-V0Ur`LV^-k zrE1ls(wbFWV(k1Wx9S;%_!X5LEvSiij)`S*_!%Hg$b$A%q5$bb+O>C2z4|L9>gkb9 z0U;X3lCk*aDn1(8(;T(TFh$W=#muOKJ0d6bTw%NF1W4={oVUMO4I>**Sw6&`RI4vu0)dmkrtL73Nx*8bZrktDLtDJymnraYmzV$zXnM^=|1(+jS@Hciy|3 z$9UlR?`x0uT~V}TMAq=RnIlod$G5j}-J|Qp&}6sNP6MG_ljpgmc1AF2G-P|WzO>GQ zXzK3xd%H(Yz5Z_cS#)za#kwf9-%vDGpV1+3D}T1Jc1@~Q%xVsliXaVOROggnBJt@+`O&k zydR0Qcn}}mw|2Mk^YIC7qc?!1#T>GzQBekuzH55ju~gA?C0ClwF8U*X`G>zJAzN$+akS z-M1@C{4MSl9y8bakSQHp$Kkm~DCF!e{x+_9%yiNc9f@&He8ZMlb-7mmefnErc0m$| zM4cQB(Gg9^@JiB*egFK_s*Vstp-ad0*W9X0jWIPe=Ey*!XRKIbD!6Vn>wOK~Xz@the4U4? z)V8fLEj0c5A!M^p@*{Pr_uq;VM~a^y2vup6uu^QEI02MXR03a zy4^h7I}V!-ryIfPqS?jGdonkp_=j?Wzz9+ba06ATnE^kmmyey1TJ|~tqazaE2r&0B zr%=jj1nhU;x}0t&xJ$Q9=OI_a&Ul+|yKmL+yj5@JcV4gHzE14<4E=%|N67bW`clhw z#*OAPt#4qwarR@e@oqP24pUDnL+NwtuE{uR<7qE1m-xPPJNl2Uz2DMZTKWQ*Txv^Y zO}Z{nSgj|IowVVh92GG+Xki%B`z1d&OeIyzLzIVFx4KS2OU9*{--lt-s^4ifrxP{H zHa@qgJ2<1m*(StE`8+-v!Y?g9qPa2dI5TQP2sRig7{gn!HrXHsBND~MmEqCCAl?!0 zmu_|tD|STIoZ||7FXWfC{LyJq#k|)?IZvl`HXFU)Q7NIt(oC;gUhY>qV=#g#G?-|2 zH%4E7_`LSnTuMOuYIhzrT8vFogTK~m`!XZH8e7&$wE@A5g!-MVG0wS#3;LsHZ&^QN z^)IxSShkZDe}AQhZC6E+wW<8+%z4`E8m3AC!?H4~wz@OxOn<032)oop_YOth_?C4T zjNQAO-kzKMuA|_LOFRECFvemA}Hm9^aeLGF?ni!z{<|uyszj*iTTdcjf zMa$}2x8L-@f_eP4A!{TH3Z=27tN+ru#;?mbK61Cjm0wJgWyqgDG{a=yO^crRg@&_r zhL4Q1I|N&n4lUNrZ)@D534;;qN1ND9n&YR9)ElJgT(9+O4rYsG4|Jy2DQD({2(I}x zKXn4(x@%UawdCBn#c5V{vPA9)UrhhV1dnyBc#A;r59+I}_^bQWIIit2*{+jF} z+@ZG3OBD3%Gx>|PDMnG&9@@oEER$^t4hNq$rS~=Q#{;#(#UM$Q6<4GP1&fNl*~+D$ zqTO)8@rYWTvw4b>>KUyRM;1!sB^u*Ux?e|ka90tD4!eGH^*&t+X)(E+-4y-IcJO)><9^1u z%ZCQWOgN6~ET$h*tE=7mN4{BnEP<(=$hnAdn`F9x8-DhCq38EssDz2|SwTS|ah{~q z!74%oD9>tYSTUElve5ApF(sIxbhSJ6qE)h=N<9)*F0?-CD0fe5vY)QLO;I4jxov+* ztpB2HD>8re$f4@+<9}}aqmaD+RD(Q)or#^Ii$Qo0EeF8wLF_XwlL&F^v|b>X3TXN# z821&r>WqzHM+x)a_t$yNxfy-~z`G#s-TR|;GMcw++42>xs6AkxcK zf<+@-f06h#x+T$7;4^~=0j=y!=BWlWUciBRJyld#fyBXf%ZizIF(lIZU&;ZtwImzq zS?@oWHgs8`wt3{%-@N#<-vw@iil@5WHoQDgci~*fBZaU0)-=9Fi!BUOW@1Yeba(Was{;Hrw!}- zD^;#~5pGl9yS~-PmD4rW(oLyb{Ho*Z?0o3N)R4{(`Ilx=3H!73+vs!;!>-Tig@wA1 z^U@*uprU_reJ?F0rVf1<-#Fgcd;t5M?{f^De6K9-PHeg9{i%@RZ4mWlO?7p3t=SXz zPDV|A{d71_<~GdYv9bZk>xnEwXCz#3^RAVgh zr4j(=ZyT=8?3R?2>?m=|zR$B5m|Xs^FINu?mGmrRO$mJmo-GNN_{qyl$d&v)9@IGV zdr0|!#-T$2aHJ)7bm*r(d`J}g+=!YJNXyUHmP%-7_Z@6Zv_5~n4PHwcCZk)F2yr>X12S6u7`%J2*w>3RN668J@H_Bwq2Hqpi9qL ziMTUTar>(i&P2%6j=hmSW;AfY3J$_6V~CHV_$1$()!!M+6uK2z)2)7N)-^<7 zaN3Rc{I@&xX z9u506YT|lzp<4K5NL$v#z74$69Tv0ix<3vTe(i8{T3+(Z$LWS@!l=&O-|g>tUE3{Y z3lkXpoImtkI(n6IH&*`9Jb&}1>2tlWudi*VFdhlF^Rt`ESCVC#zMGk;27%G*=0H^r z1nh*b-?03u!PhRmsFHk_b>F&!+}q5$TuMf-Qwk!P5mjgOaMb<0x#9b=#IP^421y^4 zMwi>>^nUNyBE$Dvi$Wql4b1u7TxhG1{k@^s-pOt@|4Q~6fv)|6A2UV6-Yw|m7MS1g z+>jzY%5-ru?O9fQwsn+*kkW(gztt-j)9xs;7r8WD3;bklwbQ=e+?Bd)IxE_KLg6b- z^i|0f&!C#W+#Wr6a0CJdaFG(z>T4>*MZU}QTvOb_7|KrBo^xrZW0@q6g2U}?^#g}L zU*_`bb{zO>JGs7c{QAVV|MGC(d&Nv1@=AW(4)V4B@@6DK;VaOWy_XH+IQ|{U%yjfU9ggJ=!W6^-(XNIp6Kp@uMOET#u&SL;nBfAuaI8=TLvd5 zr?9lN4m#-@FmOtOQxVn6IgFjc<~PnHD;(AF(&v-#S2T~Qv+y&W19o|D$qMpL{lcy- ze{rA8oT9mo>+gp)E8;!`#vn{iA{6R1cCh_FE0A}@jWJhCmo61hf%;n3XTH#9wxnkm zYQOR}Nqv3&mgeT(i@q4xuA*UXp3>3L!PdQH+QrV!4!I2R+}zx2@lXvrP?)Y8GXIpH zEVKmL5iTIJA#{l{BmepBsGaEkugB}6hGkb2Mw7sEtG7H{?Jv*-WCT!E8&AiNh6fWa4ZEbDTl$1korMcN` zgtile{RfwNZ2qO+fE?<0dzWEO`|z%T*oyg7_%&}&jJuX_^YBF9y0tyBrp4|CK(tuM zDhDRSxCC29xn+FM4=#1Rc=yx%cuz~qeFQ^|f_e;s6?$*hugw}otJo&@PCEq(-(19X zNNo0oT|-?f z?f`xhM3NjFFIF%z{@na*xAcx3Dra-sKc%}E8701?kEp|6{-xu9tgJpnwMVW#f(3y` zelYWKR`}GcYnJIt7FjV3-epm!#SmomjrmY~9e=2v*o+{mv(D~A zSL5U3_ndjP(y07mT<(Cv#v@{jyf=EVeQ@QB@H&ZmKMiU02(8Wdw2KQ38KBz}8Xmxc zq*DA<&IN~M?r#Vrr|c4Ud$EoEhcr`AxBx z%5TasJCrP|iMCb2%hdGoDYv$)( zF8AXnE@^Hl+gm%q#dd4DX~c zSpn6>b)p2eZrdijX_I0|NJu#QQi{Jqc!>N2OwX+t{k#VtGY;~F;S;`-L#K6hAHk<- zh1wbqh3tjCYfkTVOuSR!SQ(t#H&J>Tb($2b4`Ws~Q*lcN>{nMBn&z*2tQ*&9@i|NA36)U6V_hEWCG55jJk< zN|q|WqnPeZs;RbnaYiET{{6$y2UO(R;bD!JvWrJ}$wymNH8nb%!`Wo>fZ_TlT>aFD zh}A01;yz!OH9+K!P}(JK-zjSi`P_uW#oHi9dA_?{;qu~ym!hJg`g!NVeSW^ZV+~;T z<8mGfTUE4eXRE$}feQk$5yo0Xv$U`n#&sj^Lr^mWt%Z)7T1b{*Q8HZR=a6O>zJ$|{ z^H<+4KZAq=9%BxB^UgMKi|Ri1W8_h|vyOL|;&(DVJ6lIt`6>wR&#kcHI~Wx@C`PR1 z<;?^tYy%H-&iirD?2)U1&aV=qh|kxUtLT@yKY^7wZD8PR7koTIJ9fN*7mVYx1B3g= z6MVj~9|?(xwL-6cyUD5IYc)^pt5-|h3MsFJao;(M<;}+(_I7qap^^p9-PL_~8isb< z{ECOnwMYw7kxi>$|TCV z9K*9sjuz|#|J(AJv+5B;;pUrvR<$3`_f^J2Q;=Irf?B%y4PBTG2#1LKkW=>$4pLDZ z4-XG}ehlPvhRpV=j0UAV?4?4FGT)*~_J1AlmjAWD{hvC%{g&kFXVx|}NS01yirt=@ zgi;@OU!6Qwb)FQ;-QN;83zY8%Q2c&nJb7{ood?#U!%go@Z7OmNwN9Q~`Lpt%NZ7*X z%m)ty%kXJ+KtVzRBdwoaX5D16hC-P>VOYcLx5V1cP76AA-K7l<_;&osiM_M?Y3}FoqoY-ax?-19n-MF+s9oCb|KEM z4Ik-NmE~6tAvA^ifKMs8D&$Sp@J{aktaDljUq31`G6lp4scBG=&>@5BY<*Qz z^9CDMR9M(ua7ROUEL>(;I+eV<0 z&-(0I!Pw5JLe?S#0ofoWhY%zbzwk(+fNp(=PLZQz9!5)~c)ao4wO zBQl*+Nx`}4#qM^>$|KrTEm+sJEi6(E3d?BE}k z4fWFlq}zskl=XRC&;>_LpslA zapnv>I(*Gglq5rbQZ&px`U%Y&21C?TgKth9{iat_S z$-RwRw{=k#!olk!4bm1w-y|=)TVmKIBRDs4L1|n6xx8G`F>}c?)0d zZ9A;3_+92#(y7!$J0v+f@fFnF4Uu zKeffdDPIuRa2DIx2x15j;~7r`o@z;Qdg!^GzSY#%w@6p~P%DF*R{ngMD-9M~$vu09 zqIHZ*`pPiBL$ScWz@%(wAopjuBzNSdG8ASDt;3MzIu?U7Ps-?R-3x~VwK0HJG zy4cYif_KFok4Fj!$v(g%EF>kRy>;u>#&P&=3h@6Qz`ob?6I)34xFI_`JE@*>o8+k^ z5Dry5pH3uNzDEczJBh%82Smi82D30)j)ux>R< zFrX;9WVKjZH)Hpp!CQ-e@H}M#Yu*KJX}wHsJS}!Th|pnQj8!@tpKC^(oyS?wSHwhSO9Fj8Xi=* zf0~ixum?GqWLpB_Ir{OD2VU#MFq#GXCTCTRBS)ACP_u+f-e?10 fnye!_S<4!Vq9#LGvm4tms#As;L+Mzu6FZ1zF!kzW}?rwS8y)` z0%1F2pkoe!?BIn!w%PCg5gd8clEMTZYQDPGz7`(Wef{mcuR)CMd_CPfeBGQ8hmhC2 zeVjeq6=hXr<)sff`TBbLsLRRS`11?09^Q^}N`#W9;39iG4KDgXARKnAzil~M+0GD% zIPQ$jFO~tx)FCvkb3R4uOV4w~{ZqG^-b6;;I;LAc(!`M&2P0<&QJ(Rg+~e&(__^fC zYR1Bh>ir)V?_W8b4_%o;*q|>rOGR}Fchx2v%Es@2Kn~qJ=e!F%rb`-P8wB!m zmNoc4LJ};+DMaK>2qY%q|NG%MW7w%n%I;H9)%E863ON>)%j`M>3K<>vUs7BeRdh*p zamDtXIHMz6eQvdDKD#_SPmD=W8*Ws4ea<({hTc~98!SgjKZGgGtdAcg*qbU)RXYP!hCozoeVaw*UOtYb(A%a_9QTfs+)_(lmZ(VQec6&`H+^(j-qnqIH3vo-Y zAF7~|-al7>L(Je(>h^@t)#cuoey+BmjPY|)zm3M(xJT4u`9!=&5Cs1E(cc}HCg_Z} z6LkI5xQxlh9%S7<;t)^Idv&#fL_hB;M$20H@`59x(qB=2|9d`2XMALfwXeTF$*<=! zpRuvAS3Qqa9i=(RzV(I2N1-a2-M`h9& zt(hjFcq9{wRky2wJgN~w5l>wMo?KpD4xMEiynOj`+rR+K zVQO+xu=IoF$WG`D+Gnj)-prfc&(@4hb#$t#d&(L&mvsEO+?}AYd-{m}VrN3o{N!Sf zvRm&@@wVP)xcA<9JMOK$;NNFKor1~#WaVdq&x}tIUfpq<_WM2?as=GN6vpfK2DR-} zh}txwZDv!{xoit1GUPD#41QdF~}{qmlCXA;E4Oq&-QH4sE@w@EXB z{pdGY?!~Y^;qNlI-lT#cr6T&haug|8mmrUt0>R%REF_>wNTEj!C&n_(wnFoX7o#}C zEc`uR*Vkbbl%L-Sw%6=73yu&-ts(0rzOAd^9OVZ4NPL01M8RaTka5OwLf}LVt5nlZ zSetBY=Q(4_z7L=Ba;$xQeRVX`qA3*0QC_Tq59NJ1sJD#F%*;y+gEn1}M1FK|nmzy2W9kh&{{?je zB!D{0SjKkMW&DzP&W>H|I&e6=xTJ*5QCKfV0zSYg$3$A$Do%}+U+-?DQD7_N$$_*8 zYHCWWy!^Klr8Mm~cw~AS$7P}_suv~5({m-5D!O=#7fT3UoDsDleA-bRS2du;PoHJZ zF4dKxITtlws2z#+z-uKcNK&mk_k4TyS&ZDB{t6#Q@cwm0*P7TX;E&BP-QC@yHjm8= zgc33)ZsALpzKWP)+fS)oSkICW6B{0WDs)@}ti3}G1YaXw!!4E6+`wee$@H{!6pEfS z!hDtH@8?(Fo@p5VY@9yKZDY91zQ68#O050oYuWniudZr*ebXH<+B49B*G>83l@6SA zUx<)M#VEF@l4H2~R?WJCV? z{3W*$vJ7#*7Fd~T6?jIH;2dekp~prQwzAn!F}8zc^9{oYNl?+bmqT`?Qxn>pNsmkt z1r0^0M)mmWgWz?XADd z|4=_(;IDV@>b&m}iI0#0twsP~yr{3A;Z=>i&z|u=!|6EOvSX7ag#2;X>+IjUUZ+t- zPSk_i_lbM+oZCU4toZtMsc*TAS^NIEBCFEUAO4%>=iR#jwix_BnqLm)9n^sICg3%q1zEpJn($91u*ZZgySv1r0u%;AO<{*M(y7bNYW?C;S5F zd{{m?{6rdBGc{zPFMu%~Pp;>K0!EoJWmpCxPRc_03U zN6LpxcaPcg>;l4DPWoh?bMeLX`l&*qum^D!X_Tx=f$ksmxUGqXdN>(aQUAg z$wHgZB><@9ub&mrYfS5^0Iz4(1hIx_5s`6kwF~)|coZF5aLyfB)kF`?G^?Lo29J5n z;ExgM8~tU=;{cKio~e*%(OPFF!2I2l!Nz!XUv#WDMK52@c5s?)4CpXNyw{vg8WBy(d$?H74)jia~~jojod)B z$J_NA`1{o0NUte$HSfS;z`kR(t*m|7Xe_c$A~;01u41@&e3R~x*fX#OyQT+CYUVt2~V zIrtdgYZ?bk0~O@wHvkGl+mo)mMbn$vsIMIz%^JpBvk`l!Ct_=}w0he$e)z%lQhH@NhuPgvk6*n0+}8DG0v8BI*k7YwuG}!dS%ux>CO0ktI(X zw1C&}8_bJ!vC(Ef=j?3|rvM&4?99xJb*bA$TNJIHrFmT(ZgDI=6%p33@OnLpfhTH1 z!ivvZN_Q8+MQqC4qnhN18sN4^Cnug64W>sHNq z_5(vDcty89y|NNkP&xC`$;Bn|SV6g%vd6H{L1j19v6?%lMK9UdguC52ZD)O2TSrHO zo{!0{5hkFm`pTHmqBy2U{)E=zh0Aw4 zo@!~9Z-d0Vtd-@B)|fLeN>Y}&P(t5kH<9`U4VXp!gn)48Ld<6K=T4?GCu>;JafZ8kyaBxG3egHod4xc}l4=nf2~cZ91=LzK#WO2?rA zhn;?+*pA=U`RJ}RZzi=+Zvnrr1HVm22X|5v(IO$9N>oA2+Bj$5Y*?ry6Hd7N;xLe% zo$_Oj0$ZTu14SPBTR52L=>3A*#O~@} zUmPZ@ZC4L(==z8LOqI;U{esbC&am~2^z74q|6U+|_dM|^y9r>(C~KqA@mG)_=Ss-SwI zUwg(%n%91DW=OjfK}b-Q*U_mfXy){&;a8v)W2}TtzMXyVgLzI0%wG?9C~2G0>6jIs zy?2~$+<+E=&$^o*Lt0VCMso}Gr$>H69(YCD{reY|Ms-s@NS|npPGgQqgfr;{1qGj| zRA`Z(pC8oAY$?nNjry`n;7|x&AAr8i;_({VRD-6I?A0I;&U}H=6k(t=8_~j=PGE6V zNQ%J1!&A_&ft-=o4bS)BEp0X zGkA4MLxTF9*$uU?>>W4Si919#!IVFl`cQc4rBJlIH*+RHdQrpx)@bMYmQ~IBzo8n100mac| zpO%Q0mX@XWj+$JvRdf@c(buzWgS=kLJ=*6}I?r;h>{HW+9kMwDXwV;m_yeIVWUrPHM7%>Nzd69wNn@Z1MX1YC_RZ za?%k5FLFb`m)E<kV!qwNe@_xNNGG(QOD`!$Ld$RR3dZ@R#+Q$NZ zy;n;!h?IKC?E<*ZtKT_WH#m4De8%RlvJa^H#SU{hNqiWkfEab=EYwIw3bLTMc}Eu& z55B*O-DTD9M7m=Q53RFDd|~!1Y|n?y8=Pg`p!?ZH+VWH(X~2UB<&rRA-d;ieWoQ`h zxZcdtC!;ysPc5_dK~?z7ng2p3@rT-^;>&aAZ%>6^+L6~p+bteWzQ_3pSjd@*iB#2f zCf$B!u)=Gh&yjS|F@;BK^|Pt{n_u^Iy#+yBXIP|&N>bA}f-yHvKr!ZA#=yS2#IUr` zcjQNROud-mb=!WxfA!P6|@4?~1+x><{>sN*U=^2cM2(fnvW8)tQvL2Y9k9qr`Muh~-7?(0A$<+dA{e z52LZI$WY~OH(M@-ttM5Km7GMbt*wEk=B&RhCm8Sq#O1Pug$0nAAT<2-=FOYM;*b+R zY+XGdMNS4U)Pb1I9+Y?2+Z{?bT4+9_nN#q{z}SgQ=uXIooV@Z4TEE_!3VnJZKe9S_ z@q#!P1Y%|n`0QVDw;#Z!B}As~E&11gjZq!112hYW8??LU7^pG2a5OMa^I5<-fXjFd z`Ss|6hqVRa86l8P>3wcjE4nDdy|=BuU)|vt_ukqAfN&PvJX+&GN0u?R>!}rySZY^$w|wlrVY=B-)CXN-+2HhhGKtk=t0VA$^*aP&u~xM_ z1fu`iZd17xJGI4>D7I=Sny7z%67aQ6pZw6ZKw!bs%rzA~#ZX-gp2&jk04oQZM*MHp zi?uFr?^hl8`S~$m3ybY>0h#8K)ZGxa3{kAEVZmYWuf79m4eCXD2}@V(5vYF+q9d2n zKnoik0a_*OW&AhVx3g%?>g^%Qfk=$UwXw9W(>^;3nsMFXc;egZ2j_xMgk|K}VL_HH zj~e{Gj{1)o_hvjj?-m)dx&ow%86nQi(C8%6g%z=Fc=WrgG>E|?Q7tuP@TI3B)gTcA z&*9-7y)#=5(_-sbJkj5Q*M`0u_g1*}j(dE2jO-1;&C!I$hWIo9Pa2V2;|jUpSt+d*Ix7`XrV)aej7_PfBv998O}5PMs%z_X zQuFp0Jm8SOsp}j&z%rM-WxyOjRSdQ;i-C0yai&zX9A)SIw#^`J-O#ju#7Zolt62*H z(P)mfVd>#4VVDvtV%nH!Xot@3{<-rT?Ye(IFaD$5|2b^fDovWQpoe6(-eI<~x=lR` z+~Hrr;5tE???0oC`(B~$f(OeZXGRi{LSeNF!xL8jBw};L@pNT#c11_2uuFcnbT3+8 zOKU@G*_tf@;_@yy4eqL35P_0SLnd<;T1v6#3i$2f453mW>>-dR8GqEU%bQoPPW5w2 zjZ$v>BR+dtZvEhFCMz6xpP(S#qBfEI31pwGD2gJj1vYCbD%=^TMrw_SFF;FDj8o&0 z++mSR%z12k>f6X>5rwYND=9VB( z`VVOg#cgL4qTyEo1vAYh^CYE#?z*di^5Z&?aMA>y=MyO@-i~b3Xa;?PG+K{kWy-8D z3^X)?OIKckn$LA$E~%>_mlt%zZH@;wt`Lb|*7n(>ozX#d5UCIJeX8a>T0E1f!7~wZ zXhxHQ|I8rB))Z7#`T5`|FBFq3QmChyBiTxvM4E$!}>GrH2T^R6)#^dq)ir0Q_SMyNd14WxH35$FbD3L*sogD3MrOM6au?Q9Ra;95G2|v9uS^nho?;tu&~rjD_h*rH4sLWN{IO0qV0Md~Yjzo+;aTY1U{1M2Aswp)@Q346s-ll|0uZ z7fl@~%Z5e?E{?^THn6D-{`AzU5TCX>?a0cS(979q!IcH7AxzMZ0)#CVy;6q8(pzA1 z)T5mdmn)I=Re^M|_@?@3G?Q#i3=LsT4sgH*6la{mJYaMF__n{Und;Dc9yw1vK}%RK#r2k&Pbi^ zC5Rs}e#mXA$#7tWOU|UnCeuTeD%YDI^7s#W>7y7;a6Irl<@4P(U>Xrs3D8dl4Kf1G z9OZM?f6RV4aQrtfCXJ-;@4vX>%5uTLt}d-D64MaJ^B&u^SPKEiekI`Jo${~kh9mHU zN-mbRL7y{e(=S@H5^zDC0|N&+Ik}D)8K~`?d9b<|b<@g4*Z$&K9Or5 zuQcXN?2-ESiHc+pGO@-|qxK>z)*5R|WLm##p{`EdItfsSdORnL2w@rHtoMqChpMH9E`Mf~TdDhy;QCVZI=|LRUn>GI zHdywS{p{=w$!b2M$KZ^!Iy&!@)fBIQVKb`*bMHH_@{t40zc_+MYkYaNW5fHr^qWF7 z-ao7mIOjk=A1;_>U0hbC5A<*q*eUJqk)Wx3)sMe&nV;3IW(-bf@@Xx%MUUoYr$)w_ zYN~-De+1u^0MSy95#bltn}g6du3kNq8Z?<(PAwfs2h0tw6S*h%nnY>Ezpk_SH5BD zH;Yb+!m!qPbPB#6PMe3/dev/null 2>/dev/null\n", " \n", "solver = 'appsi_highs'\n", - " \n", + "\n", "import pyomo.environ as pyo\n", "SOLVER = pyo.SolverFactory(solver)\n", " \n", diff --git a/_sources/notebooks/05/cutting-stock.ipynb b/_sources/notebooks/05/cutting-stock.ipynb index 0182aad7..df71d3f4 100644 --- a/_sources/notebooks/05/cutting-stock.ipynb +++ b/_sources/notebooks/05/cutting-stock.ipynb @@ -13,6 +13,15 @@ "This notebook presents several models and solution algorithms for the cutting stock problem." ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Preamble: Install Pyomo and a solver\n", + "\n", + "This cell selects and verifies a global SOLVER for the notebook. In this notebook, we need both the MILO solver `HiGHS` and the MINLO solver `couenne`. We install the latter using the IDAES module and its extensions, which include the pre-compiled binary for couenne." + ] + }, { "cell_type": "code", "execution_count": 1, @@ -35,17 +44,31 @@ }, "outputs": [], "source": [ - "# install Pyomo and solvers\n", - "import sys\n", + "!pip install idaes-pse --pre >/dev/null 2>/dev/null\n", + "!pip install highspy >/dev/null 2>/dev/null\n", + "!idaes get-extensions --to ./bin" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ "import os\n", "\n", - "if 'google.colab' in sys.modules:\n", - " !pip install idaes-pse --pre >/dev/null 2>/dev/null\n", - " !idaes get-extensions --to ./bin \n", - " os.environ['PATH'] += ':bin'\n", - " \n", - "SOLVER_MILO = \"cbc\"\n", - "SOLVER_MINLO = \"couenne\"" + "os.environ[\"PATH\"] += \":bin\"\n", + "\n", + "MILO_solver = \"appsi_highs\"\n", + "MINLO_solver = \"couenne\"\n", + "\n", + "import pyomo.environ as pyo\n", + "\n", + "MILO_SOLVER = pyo.SolverFactory(MILO_solver)\n", + "MINLO_SOLVER = pyo.SolverFactory(MINLO_solver)\n", + "\n", + "assert MILO_SOLVER.available(), f\"Solver {MILO_solver} is not available.\"\n", + "assert MINLO_SOLVER.available(), f\"Solver {MINLO_solver} is not available.\"" ] }, { @@ -86,15 +109,15 @@ "outputs": [], "source": [ "stocks = {\n", - " 'A': {'length': 5, 'cost': 6},\n", - " 'B': {'length': 6, 'cost': 7},\n", - " 'C': {'length': 9, 'cost': 10},\n", + " \"A\": {\"length\": 5, \"cost\": 6},\n", + " \"B\": {\"length\": 6, \"cost\": 7},\n", + " \"C\": {\"length\": 9, \"cost\": 10},\n", "}\n", "\n", "finish = {\n", - " 'S': {'length': 2, 'demand': 20},\n", - " 'M': {'length': 3, 'demand': 10},\n", - " 'L': {'length': 4, 'demand': 20},\n", + " \"S\": {\"length\": 2, \"demand\": 20},\n", + " \"M\": {\"length\": 3, \"demand\": 10},\n", + " \"L\": {\"length\": 4, \"demand\": 20},\n", "}" ] }, @@ -150,40 +173,40 @@ " Generates patterns of feasible cuts from stock lengths to meet specified finish lengths.\n", "\n", " Parameters:\n", - " stocks (dict): A dictionary where keys are stock identifiers and values are dictionaries \n", + " stocks (dict): A dictionary where keys are stock identifiers and values are dictionaries\n", " with key 'length' representing the length of each stock.\n", "\n", " finish (dict): A dictionary where keys are finish identifiers and values are dictionaries\n", " with key 'length' representing the required finish lengths.\n", "\n", " Returns:\n", - " patterns (list): A list of dictionaries, where each dictionary represents a pattern of cuts. \n", - " Each pattern dictionary contains 'stock' (the stock identifier) and 'cuts' \n", - " (a dictionary where keys are finish identifiers and the value is the number \n", + " patterns (list): A list of dictionaries, where each dictionary represents a pattern of cuts.\n", + " Each pattern dictionary contains 'stock' (the stock identifier) and 'cuts'\n", + " (a dictionary where keys are finish identifiers and the value is the number\n", " of cuts from the stock for each finish).\n", " \"\"\"\n", - " \n", + "\n", " patterns = []\n", " for f in finish:\n", " feasible = False\n", " for s in stocks:\n", - " \n", " # max number of f that fit on s\n", - " num_cuts = int(stocks[s]['length']/finish[f]['length'])\n", - " \n", + " num_cuts = int(stocks[s][\"length\"] / finish[f][\"length\"])\n", + "\n", " # make pattern and add to list of patterns\n", " if num_cuts > 0:\n", " feasible = True\n", " cuts_dict = {key: 0 for key in finish.keys()}\n", " cuts_dict[f] = num_cuts\n", - " patterns.append({'stock': s, 'cuts': cuts_dict})\n", - " \n", + " patterns.append({\"stock\": s, \"cuts\": cuts_dict})\n", + "\n", " if not feasible:\n", " print(f\"No feasible pattern was found for {f}\")\n", " return []\n", - " \n", + "\n", " return patterns\n", "\n", + "\n", "patterns = make_patterns(stocks, finish)\n", "display(patterns)" ] @@ -202,7 +225,7 @@ "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "

" ] @@ -214,41 +237,55 @@ "source": [ "import matplotlib.pyplot as plt\n", "\n", + "\n", "def plot_patterns(stocks, finish, patterns):\n", - " \n", " # set up figure parameters\n", " lw = 0.6\n", " cmap = plt.get_cmap(\"tab10\")\n", " colors = {f: cmap(k % 10) for k, f in enumerate(finish.keys())}\n", - " fig, ax = plt.subplots(1, 1, figsize=(8, 0.05 + 0.4*len(patterns)))\n", - " \n", + " fig, ax = plt.subplots(1, 1, figsize=(8, 0.05 + 0.4 * len(patterns)))\n", + "\n", " for k, pattern in enumerate(patterns):\n", - " \n", " # get stock key/name\n", - " s = pattern['stock']\n", - " \n", + " s = pattern[\"stock\"]\n", + "\n", " # plot stock as a grey background\n", - " y_lo = (-k - lw/2, -k - lw/2)\n", - " y_hi = (-k + lw/2, -k + lw/2)\n", - " ax.fill_between((0, stocks[s]['length']), y_lo, y_hi, color=\"k\", alpha=0.1)\n", - " \n", + " y_lo = (-k - lw / 2, -k - lw / 2)\n", + " y_hi = (-k + lw / 2, -k + lw / 2)\n", + " ax.fill_between((0, stocks[s][\"length\"]), y_lo, y_hi, color=\"k\", alpha=0.1)\n", + "\n", " # overlay finished parts\n", " xa = 0\n", - " for f, n in pattern['cuts'].items():\n", + " for f, n in pattern[\"cuts\"].items():\n", " for j in range(n):\n", - " xb = xa + finish[f]['length']\n", + " xb = xa + finish[f][\"length\"]\n", " ax.fill_between((xa, xb), y_lo, y_hi, alpha=1.0, color=colors[f])\n", - " ax.plot((xb, xb), (y_lo[0], y_hi[0]), 'w', lw=1, solid_capstyle=\"butt\")\n", - " ax.text((xa + xb)/2, -k, f, ha=\"center\", va=\"center\", fontsize=6, color=\"w\", weight=\"bold\")\n", + " ax.plot((xb, xb), (y_lo[0], y_hi[0]), \"w\", lw=1, solid_capstyle=\"butt\")\n", + " ax.text(\n", + " (xa + xb) / 2,\n", + " -k,\n", + " f,\n", + " ha=\"center\",\n", + " va=\"center\",\n", + " fontsize=6,\n", + " color=\"w\",\n", + " weight=\"bold\",\n", + " )\n", " xa = xb\n", - " \n", + "\n", " # clean up axes\n", - " ax.spines[['top', 'right', 'left', 'bottom']].set_visible(False)\n", - " ax.set_yticks(range(0, -len(patterns), -1), [pattern['stock'] for pattern in patterns], fontsize=8)\n", - " \n", + " ax.spines[[\"top\", \"right\", \"left\", \"bottom\"]].set_visible(False)\n", + " ax.set_yticks(\n", + " range(0, -len(patterns), -1),\n", + " [pattern[\"stock\"] for pattern in patterns],\n", + " fontsize=8,\n", + " )\n", + " plt.tight_layout()\n", + "\n", " return ax\n", "\n", - "ax = plot_patterns(stocks, finish, patterns)\n" + "\n", + "ax = plot_patterns(stocks, finish, patterns)" ] }, { @@ -279,36 +316,35 @@ "metadata": {}, "outputs": [], "source": [ - "import pyomo.environ as pyo\n", - "\n", - "# Given dictionaries of stocks and finished parts, and a list of patterns, \n", + "# Given dictionaries of stocks and finished parts, and a list of patterns,\n", "# find minimum choice of patterns to cut\n", "\n", + "\n", "def cut_patterns(stocks, finish, patterns):\n", " m = pyo.ConcreteModel()\n", "\n", " m.S = pyo.Set(initialize=list(stocks.keys()))\n", " m.F = pyo.Set(initialize=list(finish.keys()))\n", - " m.P = pyo.RangeSet(0, len(patterns)-1)\n", - " \n", + " m.P = pyo.RangeSet(0, len(patterns) - 1)\n", + "\n", " m.x = pyo.Var(m.P, domain=pyo.NonNegativeIntegers)\n", "\n", " @m.Objective(sense=pyo.minimize)\n", " def cost(m):\n", - " s = {p: patterns[p]['stock'] for p in m.P}\n", - " c = {p: stocks[s[p]]['cost'] for p in m.P}\n", + " s = {p: patterns[p][\"stock\"] for p in m.P}\n", + " c = {p: stocks[s[p]][\"cost\"] for p in m.P}\n", " return sum(c[p] * m.x[p] for p in m.P)\n", "\n", " @m.Constraint(m.F)\n", " def demand(m, f):\n", - " a = {p: patterns[p]['cuts'][f] for p in m.P}\n", - " return sum(a[p] * m.x[p] for p in m.P) >= finish[f]['demand']\n", - " \n", - " solver = pyo.SolverFactory(SOLVER_MILO)\n", - " solver.solve(m)\n", + " a = {p: patterns[p][\"cuts\"][f] for p in m.P}\n", + " return sum(a[p] * m.x[p] for p in m.P) >= finish[f][\"demand\"]\n", + "\n", + " MILO_SOLVER.solve(m)\n", "\n", " return [m.x[p]() for p in m.P], m.cost()\n", "\n", + "\n", "x, cost = cut_patterns(stocks, finish, patterns)" ] }, @@ -339,11 +375,16 @@ "def plot_nonzero_patterns(stocks, finish, patterns, x, cost):\n", " k = [j for j, _ in enumerate(x) if _ > 0]\n", " ax = plot_patterns(stocks, finish, [patterns[j] for j in k])\n", - " ticks = [f\"{x[k]} x {pattern['stock']}\" for k, pattern in enumerate(patterns) if x[k] > 0]\n", + " ticks = [\n", + " f\"{round(x[k])} x {pattern['stock']}\"\n", + " for k, pattern in enumerate(patterns)\n", + " if x[k] > 0\n", + " ]\n", " ax.set_yticks(range(0, -len(k), -1), ticks, fontsize=8)\n", " ax.set_title(f\"Cost = {round(cost,2)}\", fontsize=10)\n", " return ax\n", - " \n", + "\n", + "\n", "ax = plot_nonzero_patterns(stocks, finish, patterns, x, cost)" ] }, @@ -399,30 +440,29 @@ } ], "source": [ - "import pyomo.environ as pyo\n", - "\n", "def bilinear_cut_stock(stocks, finish, Np=len(finish)):\n", " m = pyo.ConcreteModel()\n", "\n", " m.S = pyo.Set(initialize=list(stocks.keys()))\n", " m.F = pyo.Set(initialize=list(finish.keys()))\n", - " m.P = pyo.RangeSet(0, Np-1)\n", - " \n", + " m.P = pyo.RangeSet(0, Np - 1)\n", + "\n", " # sum of all finished parts\n", - " f_total_demand = max([finish[f]['demand'] for f in m.F])\n", - " \n", + " f_total_demand = max([finish[f][\"demand\"] for f in m.F])\n", + "\n", " # define a with bounded values\n", " def a_bounds(m, f, p):\n", - " return (0, max([int(stocks[s]['length']/finish[f]['length']) for s in m.S]))\n", + " return (0, max([int(stocks[s][\"length\"] / finish[f][\"length\"]) for s in m.S]))\n", + "\n", " m.a = pyo.Var(m.F, m.P, domain=pyo.NonNegativeIntegers, bounds=a_bounds)\n", " m.b = pyo.Var(m.S, m.P, domain=pyo.Binary)\n", " m.x = pyo.Var(m.P, domain=pyo.NonNegativeIntegers, bounds=(0, f_total_demand))\n", - " \n", + "\n", " # minimize cost\n", " @m.Objective(sense=pyo.minimize)\n", " def cost(m):\n", - " c = {s: stocks[s]['cost'] for s in m.S}\n", - " return sum(c[s]* m.b[s, p] * m.x[p] for s in m.S for p in m.P)\n", + " c = {s: stocks[s][\"cost\"] for s in m.S}\n", + " return sum(c[s] * m.b[s, p] * m.x[p] for s in m.S for p in m.P)\n", "\n", " # assign one stock to each pattern\n", " @m.Constraint(m.P)\n", @@ -432,39 +472,41 @@ " # pattern feasibility\n", " @m.Constraint(m.P)\n", " def feasible_pattern(m, p):\n", - " return sum(m.a[f, p] * finish[f]['length'] for f in m.F) <= sum(m.b[s, p] * stocks[s]['length'] for s in m.S)\n", + " return sum(m.a[f, p] * finish[f][\"length\"] for f in m.F) <= sum(\n", + " m.b[s, p] * stocks[s][\"length\"] for s in m.S\n", + " )\n", "\n", " # demand constraints\n", " @m.Constraint(m.F)\n", " def demand(m, f):\n", - " return sum(m.a[f, p] * m.x[p] for p in m.P) >= finish[f]['demand']\n", - " \n", + " return sum(m.a[f, p] * m.x[p] for p in m.P) >= finish[f][\"demand\"]\n", + "\n", " # order the patterns to reduce symmetries\n", " @m.Constraint(m.P)\n", " def order(m, p):\n", " if p == 0:\n", " return pyo.Constraint.Skip\n", - " return m.x[p] >= m.x[p-1]\n", - " \n", + " return m.x[p] >= m.x[p - 1]\n", + "\n", " # upper bound on sum of all patterns\n", " @m.Constraint()\n", " def max_patterns(m):\n", " return sum(m.x[p] for p in m.P) <= f_total_demand\n", "\n", - " pyo.SolverFactory(SOLVER_MINLO).solve(m)\n", - " \n", + " MINLO_SOLVER.solve(m)\n", + "\n", " cost = m.cost()\n", " x = [m.x[p]() for p in m.P]\n", " patterns = []\n", " for p in m.P:\n", " a = {f: round(m.a[f, p]()) for f in m.F}\n", - " patterns.append({'stock': [s for s in m.S if m.b[s, p]() > 0][0], 'cuts': a}) \n", - " \n", + " patterns.append({\"stock\": [s for s in m.S if m.b[s, p]() > 0][0], \"cuts\": a})\n", + "\n", " return patterns, x, cost\n", "\n", "\n", "patterns, x, cost = bilinear_cut_stock(stocks, finish, 2)\n", - "plot_nonzero_patterns(stocks, finish, patterns, x, cost);" + "plot_nonzero_patterns(stocks, finish, patterns, x, cost)" ] }, { @@ -503,40 +545,49 @@ "\n", " m.S = pyo.Set(initialize=list(stocks.keys()))\n", " m.F = pyo.Set(initialize=list(finish.keys()))\n", - " m.P = pyo.RangeSet(0, len(patterns)-1)\n", - " \n", + " m.P = pyo.RangeSet(0, len(patterns) - 1)\n", + "\n", " m.x = pyo.Var(m.P, domain=pyo.NonNegativeReals)\n", " m.xp = pyo.Var(domain=pyo.NonNegativeReals)\n", - " \n", + "\n", " def a_bounds(m, f):\n", - " return (0, max([int(stocks[s]['length']/finish[f]['length']) for s in m.S]))\n", + " return (0, max([int(stocks[s][\"length\"] / finish[f][\"length\"]) for s in m.S]))\n", + "\n", " m.ap = pyo.Var(m.F, domain=pyo.NonNegativeIntegers, bounds=a_bounds)\n", " m.bp = pyo.Var(m.S, domain=pyo.Binary)\n", "\n", " @m.Objective(sense=pyo.minimize)\n", " def cost(m):\n", - " s = {p: patterns[p]['stock'] for p in m.P}\n", - " c = {p: stocks[s[p]]['cost'] for p in m.P}\n", - " return sum(c[p] * m.x[p] for p in m.P) + m.xp * sum(m.bp[s] * stocks[s]['cost'] for s in m.S)\n", - " \n", + " s = {p: patterns[p][\"stock\"] for p in m.P}\n", + " c = {p: stocks[s[p]][\"cost\"] for p in m.P}\n", + " return sum(c[p] * m.x[p] for p in m.P) + m.xp * sum(\n", + " m.bp[s] * stocks[s][\"cost\"] for s in m.S\n", + " )\n", + "\n", " @m.Constraint()\n", " def sum_to_one(m):\n", " return sum(m.bp[s] for s in m.S) == 1\n", - " \n", + "\n", " @m.Constraint()\n", " def add_pattern(m):\n", - " return sum(m.ap[f] * finish[f]['length'] for f in m.F) <= sum(m.bp[s] * stocks[s]['length'] for s in m.S)\n", + " return sum(m.ap[f] * finish[f][\"length\"] for f in m.F) <= sum(\n", + " m.bp[s] * stocks[s][\"length\"] for s in m.S\n", + " )\n", "\n", " @m.Constraint(m.F)\n", " def demand(m, f):\n", - " return sum(patterns[p]['cuts'][f] * m.x[p] for p in m.P) + m.ap[f] * m.xp >= finish[f]['demand']\n", - " \n", - " solver = pyo.SolverFactory(SOLVER_MINLO)\n", - " solver.solve(m)\n", - " \n", - " new_pattern = {'stock': [s for s in m.S if m.bp[s]() > 0.5][0], \n", - " 'cuts': {f: round(m.ap[f]()) for f in m.F}}\n", - " \n", + " return (\n", + " sum(patterns[p][\"cuts\"][f] * m.x[p] for p in m.P) + m.ap[f] * m.xp\n", + " >= finish[f][\"demand\"]\n", + " )\n", + "\n", + " MINLO_SOLVER.solve(m)\n", + "\n", + " new_pattern = {\n", + " \"stock\": [s for s in m.S if m.bp[s]() > 0.5][0],\n", + " \"cuts\": {f: round(m.ap[f]()) for f in m.F},\n", + " }\n", + "\n", " return new_pattern" ] }, @@ -558,15 +609,15 @@ ], "source": [ "stocks = {\n", - " 'A': {'length': 5, 'cost': 6},\n", - " 'B': {'length': 6, 'cost': 7},\n", - " 'C': {'length': 9, 'cost': 10},\n", + " \"A\": {\"length\": 5, \"cost\": 6},\n", + " \"B\": {\"length\": 6, \"cost\": 7},\n", + " \"C\": {\"length\": 9, \"cost\": 10},\n", "}\n", "\n", "finish = {\n", - " 'S': {'length': 2, 'demand': 20},\n", - " 'M': {'length': 3, 'demand': 10},\n", - " 'L': {'length': 4, 'demand': 20},\n", + " \"S\": {\"length\": 2, \"demand\": 20},\n", + " \"M\": {\"length\": 3, \"demand\": 10},\n", + " \"L\": {\"length\": 4, \"demand\": 20},\n", "}\n", "\n", "patterns = make_patterns(stocks, finish)\n", @@ -612,53 +663,53 @@ "source": [ "import pyomo.environ as pyo\n", "\n", + "\n", "def generate_pattern_dual(stocks, finish, patterns):\n", " m = pyo.ConcreteModel()\n", "\n", " m.S = pyo.Set(initialize=list(stocks.keys()))\n", " m.F = pyo.Set(initialize=list(finish.keys()))\n", - " m.P = pyo.RangeSet(0, len(patterns)-1)\n", - " \n", + " m.P = pyo.RangeSet(0, len(patterns) - 1)\n", + "\n", " m.x = pyo.Var(m.P, domain=pyo.NonNegativeReals)\n", "\n", " @m.Objective(sense=pyo.minimize)\n", " def cost(m):\n", - " s = {p: patterns[p]['stock'] for p in m.P}\n", - " c = {p: stocks[s[p]]['cost'] for p in m.P}\n", + " s = {p: patterns[p][\"stock\"] for p in m.P}\n", + " c = {p: stocks[s[p]][\"cost\"] for p in m.P}\n", " return sum(c[p] * m.x[p] for p in m.P)\n", "\n", " @m.Constraint(m.F)\n", " def demand(m, f):\n", - " a = {p: patterns[p]['cuts'][f] for p in m.P}\n", - " return sum(a[p] * m.x[p] for p in m.P) >= finish[f]['demand']\n", - " \n", + " a = {p: patterns[p][\"cuts\"][f] for p in m.P}\n", + " return sum(a[p] * m.x[p] for p in m.P) >= finish[f][\"demand\"]\n", + "\n", " # solve and get duals\n", " m.dual = pyo.Suffix(direction=pyo.Suffix.IMPORT)\n", - " solver = pyo.SolverFactory('cbc')\n", - " solver.solve(m)\n", - " \n", + " MILO_SOLVER.solve(m)\n", + "\n", " # solve for reduced cost for each stock\n", " @m.Block(m.S)\n", " def subprob(b, s):\n", " m = b.model()\n", " b.a = pyo.Var(m.F, domain=pyo.NonNegativeIntegers)\n", - " \n", + "\n", " @b.Objective(sense=pyo.maximize)\n", " def marginal_value(b):\n", - " return sum(b.a[f] * m.dual[m.demand[f]] for f in m.F)\n", - " \n", + " return sum(b.a[f] * m.dual[m.demand[f]] for f in m.F)\n", + "\n", " @b.Constraint()\n", " def stock_length(b):\n", - " return sum(b.a[f] * finish[f]['length'] for f in m.F) <= stocks[s]['length']\n", - " \n", - " pyo.SolverFactory(SOLVER_MILO).solve(b)\n", - " \n", + " return sum(b.a[f] * finish[f][\"length\"] for f in m.F) <= stocks[s][\"length\"]\n", + "\n", + " MILO_SOLVER.solve(b)\n", + "\n", " return b\n", - " \n", - " reduced_value = [m.subprob[s].marginal_value() - stocks[s]['cost'] for s in m.S]\n", + "\n", + " reduced_value = [m.subprob[s].marginal_value() - stocks[s][\"cost\"] for s in m.S]\n", " s = list(m.S)[reduced_value.index(max(reduced_value))]\n", "\n", - " return {'stock': s, 'cuts': {f: round(m.subprob[s].a[f]()) for f in m.F}}" + " return {\"stock\": s, \"cuts\": {f: round(m.subprob[s].a[f]()) for f in m.F}}" ] }, { @@ -679,15 +730,15 @@ ], "source": [ "stocks = {\n", - " 'A': {'length': 5, 'cost': 6},\n", - " 'B': {'length': 6, 'cost': 7},\n", - " 'C': {'length': 9, 'cost': 10},\n", + " \"A\": {\"length\": 5, \"cost\": 6},\n", + " \"B\": {\"length\": 6, \"cost\": 7},\n", + " \"C\": {\"length\": 9, \"cost\": 10},\n", "}\n", "\n", "finish = {\n", - " 'S': {'length': 2, 'demand': 20},\n", - " 'M': {'length': 3, 'demand': 10},\n", - " 'L': {'length': 4, 'demand': 20},\n", + " \"S\": {\"length\": 2, \"demand\": 20},\n", + " \"M\": {\"length\": 3, \"demand\": 10},\n", + " \"L\": {\"length\": 4, \"demand\": 20},\n", "}\n", "\n", "patterns = make_patterns(stocks, finish)\n", @@ -797,7 +848,6 @@ ], "source": [ "def cut_stock(stocks, finish):\n", - "\n", " # Generate initial set of patterns\n", " patterns = make_patterns(stocks, finish)\n", "\n", @@ -808,7 +858,7 @@ " patterns.append(new_pattern)\n", " new_pattern = generate_pattern_dual(stocks, finish, patterns)\n", " print(end=\".\")\n", - " \n", + "\n", " x, cost = cut_patterns(stocks, finish, patterns)\n", " print(f\" Cost = {cost}\")\n", "\n", @@ -819,29 +869,33 @@ " patterns.append(new_pattern)\n", " new_pattern = generate_pattern_bilinear(stocks, finish, patterns)\n", " print(end=\".\")\n", - " \n", - " x, cost = cut_patterns(stocks, finish, patterns) \n", + "\n", + " x, cost = cut_patterns(stocks, finish, patterns)\n", " print(f\" Cost = {cost}\")\n", - " \n", + "\n", " # Get the indices of non-zero patterns\n", " non_zero_indices = [index for index, value in enumerate(x) if value > 0]\n", "\n", " # Return only the non-zero patterns, their corresponding values, and the cost\n", - " return [patterns[index] for index in non_zero_indices], [x[index] for index in non_zero_indices], cost\n", + " return (\n", + " [patterns[index] for index in non_zero_indices],\n", + " [x[index] for index in non_zero_indices],\n", + " cost,\n", + " )\n", "\n", "\n", "stocks = {\n", - " 'A': {'length': 5, 'cost': 6},\n", - " 'B': {'length': 6, 'cost': 7},\n", - " 'C': {'length': 9, 'cost': 10},\n", + " \"A\": {\"length\": 5, \"cost\": 6},\n", + " \"B\": {\"length\": 6, \"cost\": 7},\n", + " \"C\": {\"length\": 9, \"cost\": 10},\n", "}\n", "\n", "finish = {\n", - " 'S': {'length': 2, 'demand': 20},\n", - " 'M': {'length': 3, 'demand': 10},\n", - " 'L': {'length': 4, 'demand': 20},\n", + " \"S\": {\"length\": 2, \"demand\": 20},\n", + " \"M\": {\"length\": 3, \"demand\": 10},\n", + " \"L\": {\"length\": 4, \"demand\": 20},\n", "}\n", - " \n", + "\n", "patterns, x, cost = cut_stock(stocks, finish)\n", "plot_nonzero_patterns(stocks, finish, patterns, x, cost)" ] @@ -898,30 +952,30 @@ ], "source": [ "stocks = {\n", - " 'log': {'length': 100, 'cost': 1},\n", + " \"log\": {\"length\": 100, \"cost\": 1},\n", "}\n", "\n", "finish = {\n", - " 1: {'length': 75.0, 'demand': 38},\n", - " 2: {'length': 75.0, 'demand': 44},\n", - " 3: {'length': 75.0, 'demand': 30},\n", - " 4: {'length': 75.0, 'demand': 41},\n", - " 5: {'length': 75.0, 'demand': 36},\n", - " 6: {'length': 53.8, 'demand': 33},\n", - " 7: {'length': 53.0, 'demand': 36},\n", - " 8: {'length': 51.0, 'demand': 41},\n", - " 9: {'length': 50.2, 'demand': 35},\n", - " 10: {'length': 32.2, 'demand': 37},\n", - " 11: {'length': 30.8, 'demand': 44},\n", - " 12: {'length': 29.8, 'demand': 49},\n", - " 13: {'length': 20.1, 'demand': 37},\n", - " 14: {'length': 16.2, 'demand': 36},\n", - " 15: {'length': 14.5, 'demand': 42},\n", - " 16: {'length': 11.0, 'demand': 33},\n", - " 17: {'length': 8.6, 'demand': 47},\n", - " 18: {'length': 8.2, 'demand': 35},\n", - " 19: {'length': 6.6, 'demand': 49},\n", - " 20: {'length': 5.1, 'demand': 42},\n", + " 1: {\"length\": 75.0, \"demand\": 38},\n", + " 2: {\"length\": 75.0, \"demand\": 44},\n", + " 3: {\"length\": 75.0, \"demand\": 30},\n", + " 4: {\"length\": 75.0, \"demand\": 41},\n", + " 5: {\"length\": 75.0, \"demand\": 36},\n", + " 6: {\"length\": 53.8, \"demand\": 33},\n", + " 7: {\"length\": 53.0, \"demand\": 36},\n", + " 8: {\"length\": 51.0, \"demand\": 41},\n", + " 9: {\"length\": 50.2, \"demand\": 35},\n", + " 10: {\"length\": 32.2, \"demand\": 37},\n", + " 11: {\"length\": 30.8, \"demand\": 44},\n", + " 12: {\"length\": 29.8, \"demand\": 49},\n", + " 13: {\"length\": 20.1, \"demand\": 37},\n", + " 14: {\"length\": 16.2, \"demand\": 36},\n", + " 15: {\"length\": 14.5, \"demand\": 42},\n", + " 16: {\"length\": 11.0, \"demand\": 33},\n", + " 17: {\"length\": 8.6, \"demand\": 47},\n", + " 18: {\"length\": 8.2, \"demand\": 35},\n", + " 19: {\"length\": 6.6, \"demand\": 49},\n", + " 20: {\"length\": 5.1, \"demand\": 42},\n", "}\n", "\n", "patterns, x, cost = cut_stock(stocks, finish)\n", @@ -975,23 +1029,23 @@ ], "source": [ "stocks = {\n", - " 'roll': {'length': 5600, 'cost': 1},\n", + " \"roll\": {\"length\": 5600, \"cost\": 1},\n", "}\n", "\n", "finish = {\n", - " 1380: {'length': 1380, 'demand': 22},\n", - " 1520: {'length': 1520, 'demand': 25},\n", - " 1560: {'length': 1560, 'demand': 12},\n", - " 1710: {'length': 1710, 'demand': 14},\n", - " 1820: {'length': 1820, 'demand': 18},\n", - " 1880: {'length': 1880, 'demand': 18},\n", - " 1930: {'length': 1930, 'demand': 20},\n", - " 2000: {'length': 2000, 'demand': 10},\n", - " 2050: {'length': 2050, 'demand': 12},\n", - " 2100: {'length': 2100, 'demand': 14},\n", - " 2140: {'length': 2140, 'demand': 16},\n", - " 2150: {'length': 2150, 'demand': 18},\n", - " 2200: {'length': 2200, 'demand': 20},\n", + " 1380: {\"length\": 1380, \"demand\": 22},\n", + " 1520: {\"length\": 1520, \"demand\": 25},\n", + " 1560: {\"length\": 1560, \"demand\": 12},\n", + " 1710: {\"length\": 1710, \"demand\": 14},\n", + " 1820: {\"length\": 1820, \"demand\": 18},\n", + " 1880: {\"length\": 1880, \"demand\": 18},\n", + " 1930: {\"length\": 1930, \"demand\": 20},\n", + " 2000: {\"length\": 2000, \"demand\": 10},\n", + " 2050: {\"length\": 2050, \"demand\": 12},\n", + " 2100: {\"length\": 2100, \"demand\": 14},\n", + " 2140: {\"length\": 2140, \"demand\": 16},\n", + " 2150: {\"length\": 2150, \"demand\": 18},\n", + " 2200: {\"length\": 2200, \"demand\": 20},\n", "}\n", "\n", "patterns, x, cost = cut_stock(stocks, finish)\n", @@ -1031,6 +1085,7 @@ "source": [ "import pandas as pd\n", "\n", + "\n", "def read_google_sheet(sheet_id, sheet_name):\n", " \"\"\"\n", " Reads a Google Sheet and returns a pandas DataFrame.\n", @@ -1374,7 +1429,7 @@ "\n", "# read and display stocks\n", "stocks_df = read_google_sheet(sheet_id, \"stocks\")\n", - "#stocks = stocks.drop([\"price\"], axis=1)\n", + "# stocks = stocks.drop([\"price\"], axis=1)\n", "if not \"price\" in stocks_df.columns:\n", " stocks[\"price\"] = stocks_df[\"length\"]\n", "print(\"\\nStocks\")\n", @@ -1409,26 +1464,29 @@ } ], "source": [ - "kinds = tuple(set(finish_df['kind']))\n", + "kinds = tuple(set(finish_df[\"kind\"]))\n", "\n", "kerf = 0.25\n", "\n", "for kind in kinds:\n", " print(f\"Kind = {kind}\")\n", - " \n", + "\n", " finish = dict()\n", - " for i in finish_df.loc[finish_df['kind'] == kind].index:\n", - " finish[finish_df.loc[i, 'label']] = {'length': finish_df.loc[i, 'length'] + kerf,\n", - " 'demand': finish_df.loc[i, 'quantity']}\n", - " \n", + " for i in finish_df.loc[finish_df[\"kind\"] == kind].index:\n", + " finish[finish_df.loc[i, \"label\"]] = {\n", + " \"length\": finish_df.loc[i, \"length\"] + kerf,\n", + " \"demand\": finish_df.loc[i, \"quantity\"],\n", + " }\n", + "\n", " stocks = dict()\n", - " for i in stocks_df.loc[stocks_df['kind'] == kind].index:\n", - " stocks[stocks_df.loc[i, 'length']] = {'length': stocks_df.loc[i, 'length'] + 0*kerf,\n", - " 'cost': stocks_df.loc[i, 'price']}\n", - " \n", + " for i in stocks_df.loc[stocks_df[\"kind\"] == kind].index:\n", + " stocks[stocks_df.loc[i, \"length\"]] = {\n", + " \"length\": stocks_df.loc[i, \"length\"] + 0 * kerf,\n", + " \"cost\": stocks_df.loc[i, \"price\"],\n", + " }\n", + "\n", " patterns, x, cost = cut_stock(stocks, finish)\n", - " plot_nonzero_patterns(stocks, finish, patterns, x, cost)\n", - " " + " plot_nonzero_patterns(stocks, finish, patterns, x, cost)" ] }, { @@ -1503,9 +1561,9 @@ ], "source": [ "df = pd.DataFrame(patterns)\n", - "df['cuts'] = x\n", - "df['stock'] = df['stock'].astype(str)\n", - "df = df.pivot_table(index='stock', values='cuts', aggfunc='sum')\n", + "df[\"cuts\"] = x\n", + "df[\"stock\"] = df[\"stock\"].astype(str)\n", + "df = df.pivot_table(index=\"stock\", values=\"cuts\", aggfunc=\"sum\")\n", "df.index = df.index.astype(int)\n", "df = df.sort_index()\n", "\n", @@ -1574,7 +1632,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.16" + "version": "3.10.10" } }, "nbformat": 4, diff --git a/_sources/notebooks/05/milk-pooling.ipynb b/_sources/notebooks/05/milk-pooling.ipynb index 8bcd06f7..c9eea3b1 100644 --- a/_sources/notebooks/05/milk-pooling.ipynb +++ b/_sources/notebooks/05/milk-pooling.ipynb @@ -15,9 +15,9 @@ "```\n", "```{index} single: Pyomo; block\n", "```\n", - "```{index} single: solver; cbc\n", + "```{index} single: solver; highs\n", "```\n", - "```{index} single: solver; couenne, ipopt\n", + "```{index} single: solver; ipopt\n", "```\n", "# Milk pooling and blending\n", "\n", @@ -26,6 +26,19 @@ "This notebook considers a simple example of a wholesale milk distributor to show how **non-convexity** arises in the optimization of pooling and blending operations. Non-convexity is due to presence of **bilinear** terms that are the product of two decision variables where one is a scale-dependent **extensive** quantity measuring the amount or flow of a product, and the other is scale-independent **intensive** quantity such as product composition. The notebook then shows how to develop and solve a convex approximation of the problem, and finally demonstrates solution the use of `ipotp`, a solver specifically designed to find global solutions to nonlinear optimization (NLO) problems." ] }, + { + "cell_type": "markdown", + "id": "ab42f8ca", + "metadata": {}, + "source": [ + "## Preamble: Install Pyomo and a solver\n", + "\n", + "This cell selects and verifies a global SOLVER for the notebook.\n", + "\n", + "If run on Google Colab, the cell installs Pyomo and ipopt, then sets SOLVER to use the ipopt solver. If run elsewhere, it assumes Pyomo and the Mosek solver\n", + "have been previously installed and sets SOLVER to use the Mosek solver via the Pyomo SolverFactory. It then verifies that SOLVER is available." + ] + }, { "cell_type": "code", "execution_count": 1, @@ -37,6 +50,8 @@ "source": [ "import sys, os\n", "\n", + "solver_LO = \"appsi_highs\"\n", + "\n", "if 'google.colab' in sys.modules:\n", " !pip install idaes-pse --pre >/dev/null 2>/dev/null\n", " !pip install highspy >/dev/null 2>/dev/null\n", @@ -48,7 +63,6 @@ "\n", "import pyomo.environ as pyo \n", "\n", - "solver_LO = \"appsi_highs\"\n", "SOLVER_LO = pyo.SolverFactory(solver_LO)\n", "SOLVER_NLO = pyo.SolverFactory(solver_NLO)\n", "\n", @@ -67,8 +81,7 @@ "source": [ "import pandas as pd\n", "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "import pyomo.environ as pyo" + "import matplotlib.pyplot as plt" ] }, { diff --git a/_sources/notebooks/05/refinery-production.ipynb b/_sources/notebooks/05/refinery-production.ipynb index 2db00f53..23632d3e 100644 --- a/_sources/notebooks/05/refinery-production.ipynb +++ b/_sources/notebooks/05/refinery-production.ipynb @@ -20,18 +20,22 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ - "# install pyomo and select solver\n", "import sys\n", + " \n", + "if 'google.colab' in sys.modules:\n", + " !pip install pyomo >/dev/null 2>/dev/null\n", + " !pip install highspy >/dev/null 2>/dev/null\n", + " \n", + "solver = 'appsi_highs'\n", "\n", - "SOLVER = \"cbc\"\n", + "import pyomo.environ as pyo\n", + "SOLVER = pyo.SolverFactory(solver)\n", "\n", - "if \"google.colab\" in sys.modules:\n", - " !pip install highspy >/dev/null\n", - " SOLVER = \"appsi_highs\"" + "assert SOLVER.available(), f\"Solver {solver} is not available.\"" ] }, { @@ -65,7 +69,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 4, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -255,25 +259,33 @@ } ], "source": [ + "import numpy as np\n", + "import cvxpy as cp\n", "import pandas as pd\n", "\n", - "products = pd.DataFrame({\n", - " \"gasoline\": {\"capacity\": 24000, \"price\": 108},\n", - " \"kerosine\": {\"capacity\": 2000, \"price\": 72},\n", - " \"fuel oil\": {\"capacity\": 6000, \"price\": 63},\n", - " \"residual\": {\"capacity\": 2500, \"price\": 30},\n", - "}).T\n", - "\n", - "crudes = pd.DataFrame({\n", - " \"crude 1\": {\"available\": 28000, \"price\": 72, \"process cost\": 1.5},\n", - " \"crude 2\": {\"available\": 15000, \"price\": 45, \"process cost\": 3},\n", - "}).T\n", + "products = pd.DataFrame(\n", + " {\n", + " \"gasoline\": {\"capacity\": 24000, \"price\": 108},\n", + " \"kerosine\": {\"capacity\": 2000, \"price\": 72},\n", + " \"fuel oil\": {\"capacity\": 6000, \"price\": 63},\n", + " \"residual\": {\"capacity\": 2500, \"price\": 30},\n", + " }\n", + ").T\n", + "\n", + "crudes = pd.DataFrame(\n", + " {\n", + " \"crude 1\": {\"available\": 28000, \"price\": 72, \"process cost\": 1.5},\n", + " \"crude 2\": {\"available\": 15000, \"price\": 45, \"process cost\": 3},\n", + " }\n", + ").T\n", "\n", "# note: volumetric yields may not add to 100%\n", - "yields = pd.DataFrame({\n", - " \"crude 1\": {\"gasoline\": 80, \"kerosine\": 5, \"fuel oil\": 10, \"residual\": 5},\n", - " \"crude 2\": {\"gasoline\": 44, \"kerosine\": 10, \"fuel oil\": 36, \"residual\": 10},\n", - "}).T\n", + "yields = pd.DataFrame(\n", + " {\n", + " \"crude 1\": {\"gasoline\": 80, \"kerosine\": 5, \"fuel oil\": 10, \"residual\": 5},\n", + " \"crude 2\": {\"gasoline\": 44, \"kerosine\": 10, \"fuel oil\": 36, \"residual\": 10},\n", + " }\n", + ").T\n", "\n", "display(products)\n", "display(crudes)\n", @@ -291,7 +303,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 5, "metadata": { "id": "3NBWq4z86vkW" }, @@ -300,13 +312,11 @@ "name": "stdout", "output_type": "stream", "text": [ - "860275.8317999997\n" + "860275.832\n" ] } ], "source": [ - "import pyomo.environ as pyo\n", - "\n", "m = pyo.ConcreteModel()\n", "\n", "m.CRUDES = pyo.Set(initialize=crudes.index)\n", @@ -316,39 +326,46 @@ "m.x = pyo.Var(m.CRUDES, domain=pyo.NonNegativeReals)\n", "m.y = pyo.Var(m.PRODUCTS, domain=pyo.NonNegativeReals)\n", "\n", + "\n", "# objective\n", "@m.Expression()\n", "def revenue(m):\n", " return sum(products.loc[p, \"price\"] * m.y[p] for p in m.PRODUCTS)\n", "\n", + "\n", "@m.Expression()\n", "def feed_cost(m):\n", " return sum(crudes.loc[c, \"price\"] * m.x[c] for c in m.CRUDES)\n", "\n", + "\n", "@m.Expression()\n", "def process_cost(m):\n", " return sum(crudes.loc[c, \"process cost\"] * m.x[c] for c in m.CRUDES)\n", "\n", + "\n", "@m.Objective(sense=pyo.maximize)\n", "def profit(m):\n", " return m.revenue - m.feed_cost - m.process_cost\n", "\n", + "\n", "# constraints\n", "@m.Constraint(m.PRODUCTS)\n", "def balances(m, p):\n", - " return m.y[p] == sum(yields.loc[c, p] * m.x[c] for c in m.CRUDES)/100\n", + " return m.y[p] == sum(yields.loc[c, p] * m.x[c] for c in m.CRUDES) / 100\n", + "\n", "\n", "@m.Constraint(m.CRUDES)\n", "def feeds(m, c):\n", " return m.x[c] <= crudes.loc[c, \"available\"]\n", "\n", + "\n", "@m.Constraint(m.PRODUCTS)\n", "def capacity(m, p):\n", " return m.y[p] <= products.loc[p, \"capacity\"]\n", "\n", - "# solution\n", - "pyo.SolverFactory(SOLVER).solve(m)\n", - "print(m.profit())\n" + "\n", + "SOLVER.solve(m)\n", + "print(round(m.profit(), 3))" ] }, { @@ -399,9 +416,6 @@ } ], "source": [ - "import numpy as np\n", - "import cvxpy as cp\n", - "\n", "# decision variables\n", "x = cp.Variable(len(crudes.index), pos=True, name=\"crudes\")\n", "y = cp.Variable(len(products.index), pos=True, name=\"products\")\n", @@ -414,14 +428,14 @@ "objective = cp.Maximize(profit)\n", "\n", "# constraints\n", - "balances = y == yields.to_numpy().T @ x/100\n", + "balances = y == yields.to_numpy().T @ x / 100\n", "feeds = x <= crudes[\"available\"].to_numpy()\n", "capacity = y <= products[\"capacity\"].to_numpy()\n", "constraints = [balances, feeds, capacity]\n", "\n", "# solution\n", "problem = cp.Problem(objective, constraints)\n", - "problem.solve()\n" + "problem.solve()" ] }, { @@ -682,7 +696,7 @@ }, { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -699,17 +713,17 @@ "ylim = 24000\n", "xlim = 32000\n", "\n", - "ax.axvline(crudes[\"available\"][0], linestyle='--', label=\"Crude 1\")\n", - "ax.axhline(crudes[\"available\"][1], linestyle='--', label=\"Crude 2\")\n", + "ax.axvline(crudes[\"available\"][0], linestyle=\"--\", label=\"Crude 1\")\n", + "ax.axhline(crudes[\"available\"][1], linestyle=\"--\", label=\"Crude 2\")\n", "\n", "xplot = np.linspace(0, xlim)\n", "for product in products.index:\n", - " b = 100*products.loc[product, \"capacity\"]/yields[product][1]\n", - " m = - yields[product][0]/yields[product][1]\n", - " line = ax.plot(xplot, m*xplot + b, label=product)\n", - " ax.fill_between(xplot, m*xplot + b, 30000, color=line[0].get_color(), alpha=0.2)\n", + " b = 100 * products.loc[product, \"capacity\"] / yields[product][1]\n", + " m = -yields[product][0] / yields[product][1]\n", + " line = ax.plot(xplot, m * xplot + b, label=product)\n", + " ax.fill_between(xplot, m * xplot + b, 30000, color=line[0].get_color(), alpha=0.2)\n", "\n", - "ax.plot(x.value[0], x.value[1], 'ro', ms=10, label=\"max profit\")\n", + "ax.plot(x.value[0], x.value[1], \"ro\", ms=10, label=\"max profit\")\n", "ax.set_title(\"Feasible operating regime\")\n", "ax.set_xlabel(crudes.index[0])\n", "ax.set_ylabel(crudes.index[1])\n", @@ -732,13 +746,6 @@ "\n", "2. A refinery is a financial asset for the conversion of commodity crude oils into commodity hydrocarbons. What economic value can be assigned to owning the option to convert crude oils into other commodities?" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { @@ -757,7 +764,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.16" + "version": "3.10.10" } }, "nbformat": 4, diff --git a/_sources/notebooks/06/building-insulation.ipynb b/_sources/notebooks/06/building-insulation.ipynb index 561e42ca..7f789bf9 100644 --- a/_sources/notebooks/06/building-insulation.ipynb +++ b/_sources/notebooks/06/building-insulation.ipynb @@ -10,7 +10,7 @@ "```\n", "```{index} single: conic optimization; second order cones\n", "```\n", - "```{index} single: solver; Mosek\n", + "```{index} single: solver; mosek\n", "```\n", "```{index} single: application; building insulation\n", "```\n", @@ -26,6 +26,18 @@ "Thermal insulation is installed in buildings to reduce annual energy costs. However, the installation costs money, so the decision of how much insulation to install is a trade-off between the annualized capital costs of insulation and the annual operating costs for heating and air conditioning. This notebook shows the formulation and solution of an optimization problem using conic optimization." ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Preamble: Install Pyomo and a solver\n", + "\n", + "This cell selects and verifies a global SOLVER for the notebook.\n", + "\n", + "If run on Google Colab, the cell installs Pyomo and ipopt, then sets SOLVER to use the ipopt solver. If run elsewhere, it assumes Pyomo and the Mosek solver\n", + "have been previously installed and sets SOLVER to use the Mosek solver via the Pyomo SolverFactory. It then verifies that SOLVER is available." + ] + }, { "cell_type": "code", "execution_count": 1, @@ -34,22 +46,21 @@ }, "outputs": [], "source": [ - "import sys\n", + "import sys, os\n", "\n", "if 'google.colab' in sys.modules:\n", " !pip install idaes-pse --pre >/dev/null 2>/dev/null\n", " !idaes get-extensions --to ./bin \n", " os.environ['PATH'] += ':bin'\n", - " \n", " solver = \"ipopt\"\n", - " import pyomo.kernel as pmo\n", - " import pyomo.environ as pyo\n", - " SOLVER = pyo.SolverFactory(solver)\n", - "\n", "else:\n", " solver = \"mosek_direct\"\n", - " import pyomo.kernel as pmo\n", - " SOLVER = pmo.SolverFactory(solver)" + "\n", + "import pyomo.kernel as pmo\n", + "import pyomo.environ as pyo \n", + "SOLVER = pmo.SolverFactory(solver)\n", + "\n", + "assert SOLVER.available(), f\"Solver {solver} is not available.\"" ] }, { @@ -157,6 +168,7 @@ "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np\n", + "import pandas as pd\n", "\n", "f = lambda x: alpha / (R0 + x / k)\n", "g = lambda x: beta * (a + b * x)\n", @@ -345,9 +357,6 @@ }, "outputs": [], "source": [ - "import pyomo.kernel as pmo\n", - "\n", - "\n", "def insulate(df, alpha, beta, R0, T):\n", " m = pmo.block()\n", "\n", @@ -480,8 +489,6 @@ } ], "source": [ - "import pandas as pd\n", - "\n", "# application parameters\n", "alpha = 30 # $ K / W annualized cost per sq meter per W/sq m/K\n", "beta = 0.05 # equivalent annual cost factor\n", @@ -619,9 +626,6 @@ } ], "source": [ - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "\n", "k = list(df[\"k\"])\n", "a = list(df[\"a\"])\n", "b = list(df[\"b\"])\n", diff --git a/_sources/notebooks/06/economic-order-quantity.ipynb b/_sources/notebooks/06/economic-order-quantity.ipynb index 480b8218..e9ef81f0 100644 --- a/_sources/notebooks/06/economic-order-quantity.ipynb +++ b/_sources/notebooks/06/economic-order-quantity.ipynb @@ -36,21 +36,21 @@ "metadata": {}, "outputs": [], "source": [ - "import sys\n", + "import sys, os\n", "\n", "if 'google.colab' in sys.modules:\n", " !pip install idaes-pse --pre >/dev/null 2>/dev/null\n", " !idaes get-extensions --to ./bin \n", " os.environ['PATH'] += ':bin'\n", - " \n", " solver = \"ipopt\"\n", - " import pyomo.environ as pyo \n", - " SOLVER = pyo.SolverFactory(solver)\n", - "\n", "else:\n", " solver = \"mosek_direct\"\n", - " import pyomo.kernel as pmo\n", - " SOLVER = pmo.SolverFactory(solver)" + "\n", + "import pyomo.kernel as pmo\n", + "import pyomo.environ as pyo \n", + "SOLVER = pmo.SolverFactory(solver)\n", + "\n", + "assert SOLVER.available(), f\"Solver {solver} is not available.\"" ] }, { diff --git a/_sources/notebooks/06/investment-wheel.ipynb b/_sources/notebooks/06/investment-wheel.ipynb index 89219734..2e7b1078 100644 --- a/_sources/notebooks/06/investment-wheel.ipynb +++ b/_sources/notebooks/06/investment-wheel.ipynb @@ -12,7 +12,7 @@ "```\n", "```{index} single: conic optimization; exponential cones\n", "```\n", - "```{index} single: solver; Mosek\n", + "```{index} single: solver; mosek\n", "```\n", "```{index} single: application; portfolio\n", "```\n", @@ -21,24 +21,39 @@ "# Extra material: Luenberger's Investment Wheel" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Preamble: Install Pyomo and a solver\n", + "\n", + "This cell selects and verifies a global SOLVER for the notebook.\n", + "\n", + "If run on Google Colab, the cell installs Pyomo and ipopt, then sets SOLVER to use the ipopt solver. If run elsewhere, it assumes Pyomo and the Mosek solver\n", + "have been previously installed and sets SOLVER to use the Mosek solver via the Pyomo SolverFactory. It then verifies that SOLVER is available." + ] + }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ - "# install Pyomo and solvers\n", - "import sys\n", - "import os\n", - "\n", - "SOLVER_CONIC = \"mosek_direct\"\n", + "import sys, os\n", "\n", "if 'google.colab' in sys.modules:\n", " !pip install idaes-pse --pre >/dev/null 2>/dev/null\n", " !idaes get-extensions --to ./bin \n", " os.environ['PATH'] += ':bin'\n", - " \n", - " SOLVER_CONIC = \"ipopt\"" + " solver = \"ipopt\"\n", + "else:\n", + " solver = \"mosek_direct\"\n", + "\n", + "import pyomo.kernel as pmo\n", + "import pyomo.environ as pyo \n", + "SOLVER = pmo.SolverFactory(solver)\n", + "\n", + "assert SOLVER.available(), f\"Solver {solver} is not available.\"" ] }, { @@ -61,15 +76,15 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "# specify the investment wheel\n", "wheel = {\n", - " \"A\": {\"p\": 1/2, \"b\": 3},\n", - " \"B\": {\"p\": 1/3, \"b\": 2},\n", - " \"C\": {\"p\": 1/6, \"b\": 6},\n", + " \"A\": {\"p\": 1 / 2, \"b\": 3},\n", + " \"B\": {\"p\": 1 / 3, \"b\": 2},\n", + " \"C\": {\"p\": 1 / 6, \"b\": 6},\n", "}" ] }, @@ -84,12 +99,12 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 10, "metadata": {}, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -100,7 +115,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "21e46f6e170040dc850ba26b1e37b728", + "model_id": "f8986cdbc8e74e4c8519117d907e8bd1", "version_major": 2, "version_minor": 0 }, @@ -116,43 +131,42 @@ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import bisect\n", - "\n", "import ipywidgets as widgets\n", "\n", - "def wheel_sim(w, T, N):\n", + "\n", + "def wheel_sim(w, T, N):\n", " # set of wheel sectors\n", " S = list(wheel.keys())\n", - " \n", + "\n", " # odds, probability, and quantiles\n", " b = {s: wheel[s][\"b\"] for s in S}\n", " p = {s: wheel[s][\"p\"] for s in S}\n", " q = np.cumsum(list(p.values()))\n", - " \n", + "\n", " # gross return for each sector\n", - " R = {s: 1 + w[s]*b[s] - sum(w.values()) for s in S}\n", - " \n", + " R = {s: 1 + w[s] * b[s] - sum(w.values()) for s in S}\n", + "\n", " # set up plot and colors\n", " _, ax = plt.subplots(1, 1, figsize=(8, 3))\n", - " colors = {s: ax.semilogy(0, 1, '.', ms=10)[0].get_color() for s in S}\n", - " \n", + " colors = {s: ax.semilogy(0, 1, \".\", ms=10)[0].get_color() for s in S}\n", + "\n", " # repeat the simulation N times\n", " for _ in range(N):\n", " wealth = 1.0\n", " for k in range(T):\n", - " \n", " # spin the wheel\n", " spin = np.random.uniform()\n", " s = S[bisect.bisect_left(q, spin)]\n", " wealth_next = wealth * R[s]\n", - " \n", + "\n", " # add to plot\n", - " ax.semilogy([k, k+1], [wealth, wealth_next], c=colors[s], alpha=0.4)\n", - " ax.semilogy(k+1, wealth_next, '.', ms=4, c=colors[s], alpha=0.4)\n", + " ax.semilogy([k, k + 1], [wealth, wealth_next], c=colors[s], alpha=0.4)\n", + " ax.semilogy(k + 1, wealth_next, \".\", ms=4, c=colors[s], alpha=0.4)\n", " wealth = wealth_next\n", "\n", " # compute expected log return\n", " ElogR = sum(p[s] * np.log(R[s]) for s in S)\n", - " ax.plot(np.exp(ElogR*np.linspace(0, T, T+1)), lw=5, alpha=0.5)\n", + " ax.plot(np.exp(ElogR * np.linspace(0, T, T + 1)), lw=5, alpha=0.5)\n", " ax.set_title(f\"E[log(R)] = {ElogR:0.5f}\")\n", " ax.legend([f\"$w_{s}$ = {w[s]:0.3f}\" for s in S])\n", " ax.set_xlim(0, T)\n", @@ -160,14 +174,19 @@ " ax.set_ylabel(\"Wealth\")\n", " ax.set_xlabel(\"Stages\")\n", " ax.grid(True)\n", + " plt.tight_layout()\n", + " plt.show()\n", + "\n", " return ax\n", - " \n", - "wheel_sim({\"A\":0.33, \"B\":0.33, \"C\":0.33}, 40, 20)\n", - " \n", + "\n", + "\n", + "wheel_sim({\"A\": 0.33, \"B\": 0.33, \"C\": 0.33}, 40, 20)\n", + "\n", + "\n", "@widgets.interact_manual(\n", - " wA = widgets.FloatSlider(min=0.0, max=1.0, step=0.01, value=0.333),\n", - " wB = widgets.FloatSlider(min=0.0, max=1.0, step=0.01, value=0.333),\n", - " wC = widgets.FloatSlider(min=0.0, max=1.0, step=0.01, value=0.333),\n", + " wA=widgets.FloatSlider(min=0.0, max=1.0, step=0.01, value=0.333),\n", + " wB=widgets.FloatSlider(min=0.0, max=1.0, step=0.01, value=0.333),\n", + " wC=widgets.FloatSlider(min=0.0, max=1.0, step=0.01, value=0.333),\n", ")\n", "def wheel_interact1(wA, wB, wC):\n", " w = {\"A\": wA, \"B\": wB, \"C\": wC}\n", @@ -226,7 +245,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -235,14 +254,14 @@ "text": [ "Expected Log Return = 0.06758\n", "\n", - "Sector A: p = 0.500 b = 3.00 w = 0.423\n", - "Sector B: p = 0.333 b = 2.00 w = 0.218\n", - "Sector C: p = 0.167 b = 6.00 w = 0.128\n" + "Sector A: p = 0.500 b = 3.00 w = 0.406\n", + "Sector B: p = 0.333 b = 2.00 w = 0.193\n", + "Sector C: p = 0.167 b = 6.00 w = 0.120\n" ] }, { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -252,41 +271,49 @@ } ], "source": [ - "import pyomo.kernel as pmo\n", - "\n", "def wheel_model(wheel):\n", - "\n", " m = pmo.block()\n", - " \n", + "\n", " m.S = wheel.keys()\n", "\n", " # decision variables\n", " m.w = pmo.variable_dict({s: pmo.variable(lb=0) for s in m.S})\n", " m.q = pmo.variable_dict({s: pmo.variable() for s in m.S})\n", - " \n", + "\n", " # objective\n", - " m.ElogR = pmo.objective(sum(wheel[s][\"p\"]*m.q[s] for s in m.S), sense=pmo.maximize)\n", - " \n", + " m.ElogR = pmo.objective(\n", + " sum(wheel[s][\"p\"] * m.q[s] for s in m.S), sense=pmo.maximize\n", + " )\n", + "\n", " # expression for returns\n", - " m.R = pmo.expression_dict({s: pmo.expression(1 + wheel[s][\"b\"]*m.w[s] - sum(m.w[s] for s in m.S)) for s in m.S})\n", - " \n", + " m.R = pmo.expression_dict(\n", + " {\n", + " s: pmo.expression(1 + wheel[s][\"b\"] * m.w[s] - sum(m.w[s] for s in m.S))\n", + " for s in m.S\n", + " }\n", + " )\n", + "\n", " # constraints\n", " m.sum_w = pmo.constraint(sum(m.w[s] for s in m.S) <= 1)\n", - " m.conic = pmo.block_dict({s: pmo.conic.primal_exponential.as_domain(m.R[s], 1, m.q[s]) for s in m.S})\n", + " m.conic = pmo.block_dict(\n", + " {s: pmo.conic.primal_exponential.as_domain(m.R[s], 1, m.q[s]) for s in m.S}\n", + " )\n", "\n", - " # solve\n", - " pmo.SolverFactory(SOLVER_CONIC).solve(m)\n", + " SOLVER.solve(m)\n", "\n", " return m\n", - " \n", + "\n", + "\n", "m = wheel_model(wheel)\n", "\n", "print(f\"Expected Log Return = {m.ElogR(): 0.5f}\\n\")\n", "for s in m.S:\n", - " print(f\"Sector {s}: p = {wheel[s]['p']:0.3f} b = {wheel[s]['b']:0.2f} w = {m.w[s]():0.3f}\")\n", - " \n", + " print(\n", + " f\"Sector {s}: p = {wheel[s]['p']:0.3f} b = {wheel[s]['b']:0.2f} w = {m.w[s]():0.3f}\"\n", + " )\n", + "\n", "w = {s: m.w[s]() for s in m.S}\n", - "wheel_sim(w, 40, 20);" + "_ = wheel_sim(w, 40, 20)" ] }, { @@ -340,7 +367,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -350,88 +377,101 @@ "Risk-aversion lambda = 2.000\n", "Expected Log Gross Return = 0.06025\n", "\n", - "Sector A: p = 0.5000 b = 3.00 w = 0.36329\n", - "Sector B: p = 0.3333 b = 2.00 w = 0.26547\n", - "Sector C: p = 0.1667 b = 6.00 w = 0.12575\n" + "Sector A: p = 0.5000 b = 3.00 w = 0.36406\n", + "Sector B: p = 0.3333 b = 2.00 w = 0.26663\n", + "Sector C: p = 0.1667 b = 6.00 w = 0.12614\n" ] }, { "data": { + "image/png": "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", "text/plain": [ - "" + "
" ] }, - "execution_count": 5, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" }, { "data": { - "image/png": "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\n", "text/plain": [ - "
" + "" ] }, + "execution_count": 12, "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" } ], "source": [ - "import pyomo.kernel as pmo\n", - "\n", "def wheel_rc_model(wheel, lambd=0):\n", - "\n", " m = pmo.block()\n", - " \n", + "\n", " m.S = wheel.keys()\n", "\n", " # decision variables\n", " m.w = pmo.variable_dict({s: pmo.variable(lb=0) for s in m.S})\n", " m.q = pmo.variable_dict({s: pmo.variable() for s in m.S})\n", - " \n", + "\n", " # objective\n", - " m.ElogR = pmo.objective(sum(wheel[s][\"p\"]*m.q[s] for s in m.S), sense=pmo.maximize)\n", - " \n", + " m.ElogR = pmo.objective(\n", + " sum(wheel[s][\"p\"] * m.q[s] for s in m.S), sense=pmo.maximize\n", + " )\n", + "\n", " # expression for returns\n", - " m.R = pmo.expression_dict({s: pmo.expression(1 + wheel[s][\"b\"]*m.w[s] - sum(m.w[s] for s in m.S)) for s in m.S})\n", - " \n", + " m.R = pmo.expression_dict(\n", + " {\n", + " s: pmo.expression(1 + wheel[s][\"b\"] * m.w[s] - sum(m.w[s] for s in m.S))\n", + " for s in m.S\n", + " }\n", + " )\n", + "\n", " # constraints\n", " m.sum_w = pmo.constraint(sum(m.w[s] for s in m.S) <= 1)\n", - " m.conic = pmo.block_dict({s: pmo.conic.primal_exponential.as_domain(m.R[s], 1, m.q[s]) for s in m.S})\n", - " \n", + " m.conic = pmo.block_dict(\n", + " {s: pmo.conic.primal_exponential.as_domain(m.R[s], 1, m.q[s]) for s in m.S}\n", + " )\n", + "\n", " # risk constraints\n", " m.u = pmo.variable_dict({s: pmo.variable() for s in m.S})\n", " m.sum_u = pmo.constraint(sum(m.u[s] for s in m.S) <= 1)\n", - " m.risk = pmo.block_dict(\n", - " {s: pmo.conic.primal_exponential.as_domain(m.u[s], 1, np.log(wheel[s][\"p\"]) - lambd*m.q[s]) for s in m.S}\n", + " m.risk = pmo.block_dict(\n", + " {\n", + " s: pmo.conic.primal_exponential.as_domain(\n", + " m.u[s], 1, np.log(wheel[s][\"p\"]) - lambd * m.q[s]\n", + " )\n", + " for s in m.S\n", + " }\n", " )\n", "\n", - " # solve\n", - " pmo.SolverFactory(SOLVER_CONIC).solve(m)\n", + " SOLVER.solve(m)\n", "\n", " return m\n", - " \n", + "\n", + "\n", "lambd = 2\n", "m = wheel_rc_model(wheel, lambd)\n", "\n", "print(f\"Risk-aversion lambda = {lambd:0.3f}\")\n", "print(f\"Expected Log Gross Return = {m.ElogR(): 0.5f}\\n\")\n", "for s in m.S:\n", - " print(f\"Sector {s}: p = {wheel[s]['p']:0.4f} b = {wheel[s]['b']:0.2f} w = {m.w[s]():0.5f}\")\n", - " \n", + " print(\n", + " f\"Sector {s}: p = {wheel[s]['p']:0.4f} b = {wheel[s]['b']:0.2f} w = {m.w[s]():0.5f}\"\n", + " )\n", + "\n", "w = {s: m.w[s]() for s in m.S}\n", "wheel_sim(w, 40, 20)" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "cdce8b8bf1ac45b99ceb2538c09e9f6c", + "model_id": "be042f341c4a43ec884a95e1c78af3c2", "version_major": 2, "version_minor": 0 }, @@ -445,12 +485,12 @@ ], "source": [ "@widgets.interact_manual(\n", - " lambd = widgets.FloatSlider(min=0.0, max=20.0, step=0.1, value=2),\n", + " lambd=widgets.FloatSlider(min=0.0, max=20.0, step=0.1, value=2),\n", ")\n", "def wheel_interact2(lambd):\n", " m = wheel_rc_model(wheel, lambd)\n", " w = {s: m.w[s]() for s in m.S}\n", - " wheel_sim(w, 40, 20)\n" + " wheel_sim(w, 40, 20)" ] }, { @@ -464,12 +504,12 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 14, "metadata": {}, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -479,9 +519,6 @@ } ], "source": [ - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "\n", "fig, ax = plt.subplots(2, 1, figsize=(10, 4))\n", "\n", "v = np.linspace(-1, 5)\n", @@ -489,14 +526,16 @@ "results = [wheel_rc_model(wheel, _) for _ in lambd]\n", "\n", "ax[0].semilogx(lambd, [np.exp(m.ElogR()) for m in results])\n", - "ax[0].set_title('investment wheel return / spin')\n", + "ax[0].set_title(\"investment wheel return / spin\")\n", "ax[0].grid(True)\n", "\n", "ax[1].semilogx(lambd, [[m.w[s]() for s in wheel.keys()] for m in results])\n", - "ax[1].set_title('investment weights')\n", - "ax[1].set_xlabel('risk aversion $\\lambda$')\n", - "ax[1].legend([f\"(p, b) = ({wheel[s]['p']:0.3f}, {wheel[s]['b']:0.1f})\" for s in m.S],\n", - " bbox_to_anchor=(1.05, 1.05))\n", + "ax[1].set_title(\"investment weights\")\n", + "ax[1].set_xlabel(\"risk aversion $\\lambda$\")\n", + "ax[1].legend(\n", + " [f\"(p, b) = ({wheel[s]['p']:0.3f}, {wheel[s]['b']:0.1f})\" for s in m.S],\n", + " bbox_to_anchor=(1.05, 1.05),\n", + ")\n", "ax[1].grid(True)\n", "ax[1].set_ylim(0, 0.6)\n", "\n", @@ -556,13 +595,6 @@ "\n", "> Hsieh, C. H. (2022). On Solving Robust Log-Optimal Portfolio: A Supporting Hyperplane Approximation Approach. arXiv preprint arXiv:2202.03858. https://arxiv.org/pdf/2202.03858\n" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { @@ -581,7 +613,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.16" + "version": "3.10.10" } }, "nbformat": 4, diff --git a/_sources/notebooks/06/kelly-criterion.ipynb b/_sources/notebooks/06/kelly-criterion.ipynb index 863fa3a8..8cf60b69 100644 --- a/_sources/notebooks/06/kelly-criterion.ipynb +++ b/_sources/notebooks/06/kelly-criterion.ipynb @@ -13,7 +13,7 @@ "```\n", "```{index} single: conic optimization; exponential cones\n", "```\n", - "```{index} single: solver; Mosek\n", + "```{index} single: solver; mosek\n", "```\n", "```{index} single: application; portfolio\n", "```\n", @@ -37,22 +37,21 @@ "metadata": {}, "outputs": [], "source": [ - "import sys\n", + "import sys, os\n", "\n", "if 'google.colab' in sys.modules:\n", " !pip install idaes-pse --pre >/dev/null 2>/dev/null\n", " !idaes get-extensions --to ./bin \n", " os.environ['PATH'] += ':bin'\n", - " \n", " solver = \"ipopt\"\n", - " import pyomo.kernel as pmo\n", - " import pyomo.environ as pyo \n", - " SOLVER = pyo.SolverFactory(solver)\n", - "\n", "else:\n", " solver = \"mosek_direct\"\n", - " import pyomo.kernel as pmo\n", - " SOLVER = pmo.SolverFactory(solver)" + "\n", + "import pyomo.kernel as pmo\n", + "import pyomo.environ as pyo \n", + "SOLVER = pmo.SolverFactory(solver)\n", + "\n", + "assert SOLVER.available(), f\"Solver {solver} is not available.\"" ] }, { @@ -190,7 +189,8 @@ } ], "source": [ - "import pyomo.kernel as pmo\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", "\n", "# parameter values\n", "b = 1.25\n", @@ -297,9 +297,6 @@ } ], "source": [ - "import pyomo.kernel as pmo\n", - "import numpy as np\n", - "\n", "# parameter values\n", "b = 1.25\n", "p = 0.51\n", @@ -369,10 +366,6 @@ } ], "source": [ - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "\n", - "\n", "def kelly_sim(p, b, lambd=0, K=None, ax=None):\n", " w = kelly_rc(p, b, lambd)\n", " m = p * np.log((1 + b * w)) + (1 - p) * np.log((1 - w))\n", diff --git a/_sources/notebooks/06/markowitz_portfolio_revisited.ipynb b/_sources/notebooks/06/markowitz_portfolio_revisited.ipynb index 60195c5e..ef7dfe11 100644 --- a/_sources/notebooks/06/markowitz_portfolio_revisited.ipynb +++ b/_sources/notebooks/06/markowitz_portfolio_revisited.ipynb @@ -39,7 +39,7 @@ }, "outputs": [], "source": [ - "import sys\n", + "import sys, os\n", "\n", "if 'google.colab' in sys.modules:\n", " !pip install idaes-pse --pre >/dev/null 2>/dev/null\n", @@ -49,11 +49,11 @@ "else:\n", " solver = \"mosek_direct\"\n", "\n", - "import pyomo.environ as pyo\n", - "if not pyo.SolverFactory(solver).available():\n", - " print(f\"Solver {solver} is not available\")\n", - "else:\n", - " SOLVER = pyo.SolverFactory(solver)" + "import pyomo.kernel as pmo\n", + "import pyomo.environ as pyo \n", + "SOLVER = pmo.SolverFactory(solver)\n", + "\n", + "assert SOLVER.available(), f\"Solver {solver} is not available.\"" ] }, { diff --git a/_sources/notebooks/06/optimal-growth-portfolios.ipynb b/_sources/notebooks/06/optimal-growth-portfolios.ipynb index 9bfa57ff..9d67016f 100644 --- a/_sources/notebooks/06/optimal-growth-portfolios.ipynb +++ b/_sources/notebooks/06/optimal-growth-portfolios.ipynb @@ -30,24 +30,21 @@ "metadata": {}, "outputs": [], "source": [ - "import sys\n", + "import sys, os\n", "\n", "if 'google.colab' in sys.modules:\n", " !pip install idaes-pse --pre >/dev/null 2>/dev/null\n", " !idaes get-extensions --to ./bin \n", " os.environ['PATH'] += ':bin'\n", - " \n", " solver = \"ipopt\"\n", - " import pyomo.environ as pyo \n", - " SOLVER = pyo.SolverFactory(solver)\n", - "\n", "else:\n", " solver = \"mosek_direct\"\n", - " import pyomo.kernel as pmo\n", - " SOLVER = pmo.SolverFactory(solver)\n", "\n", - "if not SOLVER.available():\n", - " print(f\"Solver {solver} is not available\")" + "import pyomo.kernel as pmo\n", + "import pyomo.environ as pyo \n", + "SOLVER = pmo.SolverFactory(solver)\n", + "\n", + "assert SOLVER.available(), f\"Solver {solver} is not available.\"" ] }, { diff --git a/_sources/notebooks/06/svm-conic.ipynb b/_sources/notebooks/06/svm-conic.ipynb index 3cb4e117..49071ed8 100644 --- a/_sources/notebooks/06/svm-conic.ipynb +++ b/_sources/notebooks/06/svm-conic.ipynb @@ -43,24 +43,21 @@ "metadata": {}, "outputs": [], "source": [ - "import sys\n", + "import sys, os\n", "\n", "if 'google.colab' in sys.modules:\n", " !pip install idaes-pse --pre >/dev/null 2>/dev/null\n", " !idaes get-extensions --to ./bin \n", " os.environ['PATH'] += ':bin'\n", - " \n", " solver = \"ipopt\"\n", - " import pyomo.environ as pyo \n", - " SOLVER = pyo.SolverFactory(solver)\n", - "\n", "else:\n", " solver = \"mosek_direct\"\n", - " import pyomo.kernel as pmo\n", - " SOLVER = pmo.SolverFactory(solver)\n", "\n", - "if not SOLVER.available():\n", - " print(f\"Solver {solver} is not available\")" + "import pyomo.kernel as pmo\n", + "import pyomo.environ as pyo \n", + "SOLVER = pmo.SolverFactory(solver)\n", + "\n", + "assert SOLVER.available(), f\"Solver {solver} is not available.\"" ] }, { @@ -763,9 +760,6 @@ } ], "source": [ - "import pyomo.kernel as pmo\n", - "\n", - "\n", "def conicDualSVMFactory(X, y, c=1):\n", " n, p = X.shape\n", " F = np.array(\n", @@ -1029,10 +1023,6 @@ "metadata": {}, "outputs": [], "source": [ - "import numpy as np\n", - "import pyomo.kernel as pmo\n", - "\n", - "\n", "def kernelSVMFactory(X, y, c, tol=1e-8, kernel=lambda x, z: (x @ z)):\n", " n, p = X.shape\n", "\n", diff --git a/_sources/notebooks/08/bim-robust-optimization.ipynb b/_sources/notebooks/08/bim-robust-optimization.ipynb index cdff2254..640528ea 100644 --- a/_sources/notebooks/08/bim-robust-optimization.ipynb +++ b/_sources/notebooks/08/bim-robust-optimization.ipynb @@ -17,36 +17,43 @@ "\n", "This cell selects and verifies various global solvers for the notebook.\n", "\n", - "If run on Google Colab, the cell installs Pyomo and HiGHS, then sets SOLVER to use the Highs solver via the appsi module. If run elsewhere, it assumes Pyomo and CBC\n", - "have been previously installed and sets SOLVER to use the CBC solver via the Pyomo SolverFactory. It then verifies that SOLVER is available.\n", - "\n", - "The cell also selects a SOLVER_NLO (ipopt) and a SOLVER_MINLO (bonmin) to deal with nonlinear optimization problems. Both these solvers are installed from the IDEAS repository." + "In this notebook, we need the MILO solver `HiGHS`, but also the NLO solver `ipopt` and the MINLO solver `bonmin` to deal with nonlinear optimization problems. We install the latter two using the IDAES module and its extensions, which include the pre-compiled binary for these solvers." ] }, { "cell_type": "code", "execution_count": null, - "metadata": { - "id": "69kabDUFLFPt" - }, + "metadata": {}, "outputs": [], "source": [ - "import sys\n", - "import os\n", - "\n", "!pip install idaes-pse --pre >/dev/null 2>/dev/null\n", "!idaes get-extensions --to ./bin \n", - "os.environ['PATH'] += ':bin'\n", + "os.environ['PATH'] += ':bin'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "\n", + "os.environ[\"PATH\"] += \":bin\"\n", + "\n", + "solver = \"appsi_highs\"\n", + "NLO_solver = \"ipopt\"\n", + "MINLO_solver = \"bonmin\"\n", + "\n", + "import pyomo.environ as pyo\n", "\n", - "if \"google.colab\" in sys.modules:\n", - " !pip install pyomo >/dev/null 2>/dev/null\n", - " !pip install highspy >/dev/null 2>/dev/null\n", - " SOLVER = \"appsi_highs\"\n", - "else:\n", - " SOLVER = \"cbc\"\n", + "SOLVER = pyo.SolverFactory(solver)\n", + "NLO_SOLVER = pyo.SolverFactory(NLO_solver)\n", + "MINLO_SOLVER = pyo.SolverFactory(MINLO_solver)\n", "\n", - "SOLVER_NLO = \"ipopt\"\n", - "SOLVER_MINLO = \"bonmin\"" + "assert SOLVER.available(), f\"Solver {solver} is not available.\"\n", + "assert NLO_SOLVER.available(), f\"Solver {NLO_solver} is not available.\"\n", + "assert MINLO_SOLVER.available(), f\"Solver {MINLO_solver} is not available.\"" ] }, { @@ -58,18 +65,10 @@ "outputs": [], "source": [ "import numpy as np\n", + "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import matplotlib.patches as patches\n", - "import pyomo.environ as pyo\n", - "\n", - "# Check that all solvers have been installed correctly and are available\n", - "assert pyo.SolverFactory(SOLVER).available(), f\"Solver {SOLVER} is not available.\"\n", - "assert pyo.SolverFactory(\n", - " SOLVER_NLO\n", - ").available(), f\"Solver NLO {SOLVER_NLO} is not available.\"\n", - "assert pyo.SolverFactory(\n", - " SOLVER_MINLO\n", - ").available(), f\"Solver NLO {SOLVER_MINLO} is not available.\"" + "import fractions" ] }, { @@ -131,7 +130,7 @@ " expr=pyo.quicksum(copper[c] * m.x[c] for c in m.chips) <= 4800\n", ")\n", "\n", - "pyo.SolverFactory(SOLVER).solve(m)\n", + "SOLVER.solve(m)\n", "print(\n", " f\"The optimal solution is x={[round(pyo.value(m.x[c]),3) for c in m.chips]} and yields a profit of {pyo.value(m.profit):.2f}\"\n", ")" @@ -158,8 +157,6 @@ ], "source": [ "def ShowDuals(model):\n", - " import fractions\n", - "\n", " print(\"The dual variable corresponding to:\")\n", " for c in model.component_objects(pyo.Constraint, active=True):\n", " print(\n", @@ -168,7 +165,7 @@ "\n", "\n", "m.dual = pyo.Suffix(direction=pyo.Suffix.IMPORT)\n", - "pyo.SolverFactory(SOLVER).solve(m)\n", + "SOLVER.solve(m)\n", "ShowDuals(m)" ] }, @@ -417,7 +414,7 @@ "\n", "\n", "m = BIMWithBoxUncertainty(lower, upper)\n", - "pyo.SolverFactory(SOLVER).solve(m)\n", + "SOLVER.solve(m)\n", "\n", "print(\n", " f\"The optimal solution is x={[round(pyo.value(m.x[c]),3) for c in m.chips]} and yields a profit of {pyo.value(m.profit):.2f}\"\n", @@ -474,7 +471,7 @@ "\n", "\n", "m = BIMWithSymmetricalBoxUncertainty(delta)\n", - "pyo.SolverFactory(SOLVER).solve(m)\n", + "SOLVER.solve(m)\n", "\n", "print(\n", " f\"The optimal solution is x={[round(pyo.value(m.x[c]),3) for c in m.chips]} and yields a profit of {pyo.value(m.profit):.2f}\"\n", @@ -524,7 +521,7 @@ ], "source": [ "m = BIMWithBoxUncertainty(lower, upper, domain=pyo.NonNegativeIntegers)\n", - "pyo.SolverFactory(SOLVER).solve(m)\n", + "SOLVER.solve(m)\n", "\n", "print(\n", " f\"The optimal solution is x={[round(pyo.value(m.x[c]),3) for c in m.chips]} and yields a profit of {pyo.value(m.profit):.2f}\"\n", @@ -749,12 +746,10 @@ } ], "source": [ - "import pandas as pd\n", - "\n", "df = pd.DataFrame()\n", "for delta in np.linspace(0, 0.5, 21):\n", " m = BIMWithSymmetricalBoxUncertainty(delta, domain=pyo.NonNegativeIntegers)\n", - " pyo.SolverFactory(SOLVER).solve(m)\n", + " SOLVER.solve(m)\n", " results = [pyo.value(m.profit)] + [pyo.value(m.x[i]) for i in m.chips]\n", " df.at[delta, \"profit\"] = results[0]\n", " df.at[delta, chips[0]] = results[1]\n", @@ -922,7 +917,7 @@ "\n", "\n", "m = BIMWithBudgetUncertainty(0.01, 2, domain=pyo.NonNegativeIntegers)\n", - "pyo.SolverFactory(SOLVER).solve(m)\n", + "SOLVER.solve(m)\n", "\n", "print(\n", " f\"The optimal solution is x={[round(pyo.value(m.x[c]),3) for c in m.chips]} and yields a profit of {pyo.value(m.profit):.2f}\"\n", @@ -971,7 +966,7 @@ " z = Z[i]\n", " return pyo.quicksum(copper[c] * m.x[c] * (1 + z[c]) for c in m.chips) <= 4800\n", "\n", - " pyo.SolverFactory(SOLVER).solve(m)\n", + " SOLVER.solve(m)\n", "\n", " return m" ] @@ -1028,7 +1023,7 @@ " + pyo.quicksum([copper[c] * x[c] * (1 + delta * m.z[c]) for c in m.chips]),\n", " sense=pyo.maximize,\n", " )\n", - " pyo.SolverFactory(SOLVER).solve(m)\n", + " SOLVER.solve(m)\n", "\n", " worst_z = {i: m.z[i]() for i in chips}\n", "\n", diff --git a/genindex.html b/genindex.html index e97b2340..ff8ebf6f 100644 --- a/genindex.html +++ b/genindex.html @@ -671,19 +671,17 @@

S

solver
diff --git a/notebooks/04/power-network.html b/notebooks/04/power-network.html index ca664222..0180a8bd 100644 --- a/notebooks/04/power-network.html +++ b/notebooks/04/power-network.html @@ -550,7 +550,7 @@

Preamble: Install Pyomo and a solver!pip install highspy >/dev/null 2>/dev/null solver = 'appsi_highs' - + import pyomo.environ as pyo SOLVER = pyo.SolverFactory(solver) diff --git a/notebooks/05/cutting-stock.html b/notebooks/05/cutting-stock.html index e9e6b64e..e89b30c8 100644 --- a/notebooks/05/cutting-stock.html +++ b/notebooks/05/cutting-stock.html @@ -501,6 +501,7 @@

Contents

IzyMebVV-o zbV=hD91=*RZR0{tL8ta@vNX5?_48H3mVkA(L$_hou$I%r#)PP@BUa{&?D-)wak+NI z{#CN?smw+_oW+~i(aRx&fghTCJwkWI6DnJ`sVeonmEy+?I@_0rBg{mkXg6wQ$~RBR zcv?xkq0fCt+yj@u%GZaXZ8H@8Vo02s&5#=5S4kC>IJJ%xkVd4J?>1F+kqa&%WI2VD z04=o_=-qzr5X<*(6%abz<_O(Hi4&hJ6Veq zvZMy&Lj19XVKtbSyyGvY#w61H+3uy{#`G477a<&NT9f{-NSk#$v-Zzh3p0I!Gp@(t zAHf-W>Bnov?!U#iB4o_bSKYZ%Y#1oQ*IjhvXvSH}i?oB-Mj@4MA)7jcdNE#3Keg=@ z>+Q_lE7;q_A`xKBdS41Eoxv&EM4+!k5G|%OcX6dW9m&*|Xt3tps03#=eVdr$s=Zp~ zZ?=!=rSJDhK)aT)H*`Wez;1 znBpAS=daBb%qOMJursbD#+m{*;rE$L(J`r|Xk$z4k(($8iyZ9=JDg zv~hK!BnhVDMX(;w`YGKV5r%9z=HZU%QTAP;4hTfK;M0aD9 zJryz+SFMCi_D8@AeAo}wVswql%CQw}F+*NrO(^CpH|BMo+4AQA&EBN<6!tWjnOPO} zp<#zd6}3)ZIq^#V#VP)7NL<}KCNAQtYLA&d6uxm+5zcHplB+~EMWVJ`elvp|UTGEX z**7+gF}P6JlUu{$r2upTx?sxM7)nZlx#XHDB_#&5VEJAg*1YmIZ{}Le6k#MRMGPS! z?J1DHtc6;E~N&i9&4hrozRyr1kv0oCfU24`z9y+lm}uFQ}yJ*6uq{*q65)biz%FS z-S#6f_4SXf^HETZo)q_O*%ksLs)k*UB)1zA21#eRo_-PBmf9_2&v zF}?9$z9)X-QIynR_W9;9w(c``O*qj7T+@FE0Q~NFrBep4MNnsz{5h2{XqUxBOw5y& zq=D0?VBSQKgHfiL9?OBl4@pK@V52)rQ8RFM$b5KCC~ZE&x6j`>DJWz#HFj!6=~RvA zvoy^h10wornS?Rzkg4oJ%tovq-RBYvp zQSJgXBo#|qGx^gLc)tF9xI5SKr>{zW)1OsL+#A{hxij{bFc2dqKQn?R2z#H&N@fqprvFsT$I;_X;2cey>y=FaSa8&%%r9tAMw0Nv_dzJt7;_I-3rY6F-;SF|H?S^XPWTga`l-em@lcW} zqXncWJ5`}4JjjG-j`l5zLhtDNZi*^f7M$0tX`|U6AY&AZ0Xb#Rn=~teUXtz{vF;ZrUhxfdF33nPcFA# z*1D=Ve?_QbhN;&FW;meCGL({{Syhk!s(5Ug?Pk^{3pwTi3!*-_+K#u( z7M-Y|>SN{%<)g$~6A)v%?6YTYq`{s;GHg1-o|TUIO;=84Kd_TowFSu%*qzYxB_cm> z!NO6BpDg*dq&kgQ;1~8~D;d)NK);XrcSCRh)r~d@P;xS)JqS>FRT3PL{I%g6pMe(y z#-n(l*=F%^sbq+xAn%%Qv07w-X;`sZPXDtcGmb-@cw;(VG$(Zy`Gx#y{-cRxLjVW<{%;d3VV;3{4gEjAsdocK}ams%i4CP&AAa~`$3yPqLYLbcM zy`TpF+0f_Kmo^p-KV{_YNJ&jnN9VC^-FUNJCtgBL>t$h4@Xz3k`?vze(SAS67V$Tx zn`DZkmTn4UroS09;lS+>Qs9Q_^lqOzMKT3SVSwq_LOa`rniSLV>t>O^=eiX{2Z3SB9?;9Lqe+ z&9v%7XFi<+{Ln40EkjdTRo;ethym_I&;nyML|4@83M;H>&PG=HnBS}7{L-HsHg~@wF3b5e^;qr{1(^h9t z#Lw^iywCj=zU92@qp>y8=Z5w05tQ#tYaqueH=^4ybEH~-G@Z4+bpewZo`4ihf{-gXswS>gLmwWx%g-(tj+De1U zW2(o)GEBrh*(3ZEv02>jLDA7Ji82ppC)mu=$u!~d(NU~Z1-RkDm&YnIqKmdz$;F?o zlfEqhU2}Aj14LF~EkFy7dF>BnzTCGHG;U!#v}^C*A#+S!_?-C3;f%$4G$c`YjoL`t zksD#HWPB7chiFb=)6gbf)4Dy}S$NOcY&b`E-`a8@2-LfA3|qwMkrmBMi$;4Tl=yx( zZWrTEXeokhL22*SCtkJ|Q+-LhRYMMSd4 z<&8q1rJpss#0gd?dGri8$&3++!D=*3|1#hyLXuF*%V^d_T*mI;{i57|4G2cyMWWNvWHL@v(1oVFvXli^vV`CQaX*QI{a{RoQao`x{6pcLA4wC z*KXMQuS|)K!r==+8GMoxPdH51mVRFxPS2{=F8~zQovy)#<^EN*XaiZvWj8dLp_5CoG#z!gf#Kp4n0A=d;5)Sztz(* zrG0^$JlUZ0Bm5pup6goEIh6*4%coj(qeL^x7hmPzN4oNw#MiSJW&hS@OxqSk`Yjv< zUu$F%YQ<>x@yHe{#_3fbhC|7+)HSySof?Oo{YNV)`DE=COJSvb&XiO&;|0USIKXp5 zN?hW97lNUL6SgFCw00Ch`7y#>4%y~4He_OT6LvvuC*T5^1iv?%w|})lOpsdQ*J^R9 zou+7ujH#dj>ef~wq`Yjs=h$Wa+Y1r61ZaWW{E}WhqrBQ=G0QW~xo#{OPNELJ*~fWnCmP;mTL%t-}vyTWd+ zCl~xdSno_wayf8NyjP}~7w4H^?S~QLg-Q^Y=*Og9BDU!fw*$CS_rCK>i%e84FIQ^K zcYGlVesxtFPOnWi=8zRF3NtlB7}!BWFMT$i0=je}IlOZLA4nuc^H=pJm*=b3Ms|SS zBGTBsAycNQ6Wf$WHcv2UnOWrZ8ZjZMIpjp1>K1i{wt_M`;LyXkLk)P&;v$|!H#nnt zuK^EV=_7orAaaDs6GawpcqKvPN~_g1)+5miC6}q(e?g>6ut)wf;iXH>50t((aamHN zA)1MCT+K24qXdh1gt%SWvRThlq1%2`M`{)R{rx`uOaqbro3CKDO{M=G0z<}F!^UH_ zJooZI3c)XmT$A}woE4L`gLG7pLW zvBq)n;>G0tB=dEXr?7f4-My^C5BIDq5n&{JXbpVsqLIH!&&%l?edLUTS(_)CI$VR_Nis@Q)x(UrZ#j4WV%y?+aPw*SH@4l6k%U)D z9gZWrU2O7BB%s_i3n$J_+zan)00fecRy8xXdQu{k8c8Y@IPUzpVQJy8wqcEqhR=8? z(A1vOzzXlg?$TA5_0h~N%Th6%4Bm^HO17`cv8mw_n^d+AN~_qJnJr2z(?Gy;Lul-S zK2kFgQ0V+!oi}s;_1W;s7~omBV7+Ef^hfBQSyHs3*p?~2;w|K)+qS+OxUeZvwV^b^ zAOKl>)0}5AC(F8zqzhVVvE@p!pA>|_8T1f5gA$|_6AR~aHu8sWePl~P&dqmyifDMQ zP$3)a%lRCNgw1rYqK<>oC{bPf{e(2&2oF=ckmfgg$glpPcc_Q2Om*{micwph`yRfc zxMP}n)((2gZZjJkY4YVnTWh@RZqS8e!Jb2~-U3(ZaIL|Gp5vytsR60H?5jXT{=;Pi zE-a^lncN-jA5%%akH09Cfq&UB8FNijO~jWwUcp!(jNxnYID!72fS0yMke|;{x)pW@ zZ^BUc9E!YGXYVM!@cr4KYB}|(3~hl;)?Xb2HeMODx|99QgzWU~ zbbhd8d2=q(dVZDKn}B6PC@i!d;)oJb$7F23OOUyv)$2Vm?GpSy0nrLU-SVY*b~DPv zAIdo=%Fksrcw^$(EQ?Wk$-B-~xkW=!Q>s%nHwNnC3XqO)v+c(TO06rk=@@IGMsB9|Wm`fP(Ttc`>FFTL;t|d0+;) zMd^{T-2JIR7GAqDrtM+6m5TP%O-{&-%0#29_%dg71*U$PE1oLi%Ng<(`c>>tZe6Oi zfv5MECVtkX* z#Ne(@0l<>RO5yMMQ=_W^1N}!6_3?u{zYiZ(%-op=&2)P&MKyDmlm%l+(r43a#o!Lr zp@3{nF7RNSaSrSm#J?SQzJVkGGs=B*YsB@MY8TF`kaMySpkObbQiX;H-)woqyn>hS zni%=@LXa^!C5Gx*|F(yTLvWWEh)PIZTtvfyS=a5)FIBCou|co_W|g|xQ6Yf!MTwUk za^WRdGxQ;OrbXIE%Laj*ndvmDn13jDlfSTSB(k25{{qt4qXvpky2YZ1eP&r?64>i5 z4Rv(P(|$ctm+?)mT2(5UQl29kSi<#F>Tf?D0>zktG;Y5%97^^ zde0cAR_UPl%~2bwIs#&w|{q zVMqP4fDXv^9IV8|F@ybKpJ(FPu%a*I{MHWOgYhvm?1TH0O*1z(pg~Gkp7X@)`?BY> zHM){MnwK#9`jxjtx1Fb*zCWQegVp3|y^=sKiUZyif%JF?^R%{PCW}(k6Bu-h`J!sT zsP%csJBkZNTn+nMYv6MwJCUC*(-*?6VzB=UT;dZ_o z;-2+jSK9ToEN!xVD_BFl0KsuG5n$G$)z*-gF}*7J8{OK?`oa~zJ6d~hTX#LLdg82e z5MKHa#LY$5*wSw-VrQ8!L*Op`SHabB3CRK0F?Yd$fV&}&q(i-i=u0&8 z3Zkya!60i%HJtTUg;ZEz4ZG6^$+M3R+U`|Q8UV?K8b6JaZl zSU(t$=0Ij{5|nu{?9QsdD4(1m*CM68)K`)kLd~H>zL<={R)-iX{BlvjWq6j))zHllo+CiSmTZ2GZ$)#(;OkzhlI7;|v^ zGHYvQz37|5gYPYF)m@_lK%LGax2GGiGm7Fb7x#PTEugJic0B0I-Y82ev7V#^Q!1h6 zz~q(K;w)i#q1|wqc`+5&`6phbc#+^l>0Yw$v=90urn|`zCQFGs7&0mjDVAy4Rv3hr zTYN^W2vb;JH3$dovv@bi5%M;4G@ewc^6!+2G+XP>;)`=2QY3`%$fRa z7zwt)3O^>Dl401!T+khps&n0~s3BD^1g3cpC8?I1_^;~KbG>^8CdPFJYTKN-Z96MG zsRW@8{+jKARq%wn?>jX@cmvOK7F>Wyu{U{8A_l4qI#Y!Ig$VD|j}T{GJ(lJMX4Lv0 z(!ZWa3!AV_bXt_t)2U-5^+4sMSa`{8XSS#Qqxw zV1{!td)iwy&Go`I>4hx}A^a;O!BOJ0)0tG*1Hkmb~!}&r-1pbnyd7=YoS2bA0;^E$9pgUb&_t|yoqK)6> z>~j)%ww&@6!<`?xWyw5Zq*-E^R9^|N?`4zKOBbUa*lFcvNgWcoS-u62-H4` zU7N#OaEe#n`ARwUuk9J-ny!r8!c~k6sRbQciXS4gMwgXjv5kSa8G;9Pz9&yBte4<< z@kn_krvSuwL6s~0_&4V#(Pwb?+zVTQ>Cx+lys;ztp4v19(tf9~&VB+(wqhD5_Oo8Z zo2d~K?zNbPR|GDXyu{nP$jAOYr#jC2-jA1Ce?i@TfHS4*}27hw?yISvKBQHQqVr32s4JDHFM}aEw))n{&O>RaxVvj^el*AS6 zMq6RRsMzJOmuw_H-;CadJYpXnNMC#|A$Gtp=2_zr*1@wLl+=_kY~$Y0Y)%go3&mjW z@%n|1`}QPyqD<_9ro}a>8S8gyHct5l-tL+)cTQeZ@^c`U*75Er$*1Jh7`yV-j2tSH z3O^duSh+p|*}aAnA9HcM!-v0nyqysRWl0<(8CbRs$UIXSo6m;r>C)OpQdno1v)~>X zVennHg-0NM1ZaA>!6A)fWt}tCbEbQHjZhD1+!far!;SN=6qa?cP9#cmB4AAI6&~wI z21$Ncj85>WJ>bdidQDr6)%&;WjEO=%R|ZBg4c*twbupR}lc)e{-{cepKF-V4&~+Jz zEixdbxa`&7+x;vFFfR&aj-Y-w>O_ZqQU2_v(%7>gsXC&|6@qU`Z%Iod)>nDfl(6>3 zYtV7(VnC5=ixgI}Vad zH*U*!t$hTkvY`8WpE#3j#oqd){seSfTj?b~H3ob30jV0fV1;On4SoT)pzSc4G~_^5&|8VkqIA+`IGcd>-bUbLyON6?Nl+aw?Jtn+{2R%8nu;s~v$BYn;=C zR2NUMg^$$K+VM=I(^KiJdAW1^OFK31`#c|d)R!eDc12S9ClGP{PP;4oB4l7mu_?|~ zhuY1p>!mKSFs7{YKhu>-l1ZrK0-Euzz=vIHl`bWJg*4cjFK1TzTBkt zPL3r~uk{86EpK-_Z3_kd8z51t)Vi*A3II3-y=-8BK3aobxF?VFL^?HHC-M}foh8=m z24A39sJg5d&^m5g*~|?Z{#19mFi7;iEWEiF@qKbGBU-dMpDlCsK2Z*)WsPJ#B`=wv zu9#soWI?|}kCI}^oW#V{%HS`%YKXvJ;22~zJ=T?_q<=Zc{fewfu{LZNk6Q4%?)*wGOk zWKpDM4lx#t$&PId6*ir{ zxBX{igz&ZqZb2;p7*2z5(*AHUjdeBsbQlhWTHy;|zizJF-|4cv;gX$kS7d7?Slx^5 ziSSju(7FVv0onyErVX#(8Z!dB$F7&Bz?EXLG>i~ywtk*Dr4ehf@KmrhS4V3#>dmGJM%3ZQfndC2ehKJv}{Dy~lm9BnSVl_d^Fv z=;-LYFWZk-n`{jd2peyWHMm^(;j)_Ga~P!Uq^ch z4T6=RRTPS(?hxJC&6$pNo8zULE;m9@>Xo^qz~1&coZQ^_+?UcP)1KNH00HC{%9rDPmA+!aG+JfC+V&YQ2BS zc?=e)Rl*WTQSJ!~xO4%A)mC<=%XUM+q)E;hCpJ3JZ4aW)Aq_HkLa}hA7v(ULc)NYY z1v}NGQeUYMo`rsZ7{X-2xcB3w_Za-~4wfxl_;ljVXLB$G&FiR}NB^rIX8tQ@C>b7uE#uic z`|oJDr`&|4Rx7eW=iaee46L$(9^U(x=XMB}M0m;Ef9x6OBw=Z{PQUF4_y z?GEX;lV=_g52A0kib=X?MV;$gK->KfvaMqk9PT|=EI8TPBGmQmw0f1v1j-2(p;w-_ z%RsrMz$}m#>8#@BHn0>-W1IN7kTy5D#B_2?nsigRSU->XXx|ttYMPGA6%w0`#Xq)S zbZkMd_jPC@w4i?oC*MQ3Xm8d9x8=>M43x1o+kPhF_>7e5kJ18q5p^%GJMr3tt*)Kv z5CKA{0g-K}f>Rpo?l1$a&N>21k_^uAw7^d0j~urQiVTTgQnB&(7MUvPje1SYw5(TA z)z4#zxQ%%wCRq6Qxo-dNan@W$sPxzKWXSFep@RUCFN{BU>uKf$viyek73K5GL_?r0a z|8H#Z5OZL>$oHRHLZ~>|5^O{*=$Oao1&}DIo8mIWv(S->k1QE;dPAt8O6qPr(EO^L zMElCj?E9ue|ZXw6*K_X&I-+O7{JN07W7YOKytkHJ*GGK&P6CC?Teuq89d_vn|;x*2gT2 z2FWELKaG~6o30{NMOBck2RyR!iV!mLfo1@i^~Wa>zaGQ1_Zi^Xq=Wdi*|Y}iP11)D8pHw<$ZYZ zg(3S4k*-LvB@ULfD(d~T)Ixgfq#-tzeMF0?QA;VrahU3}6LLT|!%ouRG-j~PvtHw3 zbrjE@b<>}0&q);fY8_o5;U@SPGg7&}gNqL!ebV#)}8?yGjHJDB>y zr=n*0{V}bQ?d6p(9=qA4YUSL<*47kq3htW%A*I~J0IIP6z_efYu?|^#K2L?pvXH2D zZ}7Nc+^sn6|f|^-R{7sypfePy|8dGQfow8r|xwu9@&4F*gk^)GjKdRyn2Wdbc z%7r8yY}L~v`*aDZSP9&9RMBl4wIedsKcuzpuCa$UX?ZJ|k zz}B`u8+0J{gE^^aGaF&N#1KOQ{v~~uRx)h23ome|`REQ? z$EsluQTGuHFVbJEDrOsWM5so)-HG0rVw$;Fv1)Am(P>H+=lI3sfY&n#lA@ZQr_c<3 zACm||W^jNOBYB%6*{b7`ovA-4Vc#>sV|D*~xOZrWLmYDQ zd({>!%*;V;AYaO4=1=bu0F}Ud$NwA7Iq&>W+2%a(hUkF6=~}JK%wiFS34UO8VY>Dq zds5Ww2|q{0AHN%vev10Ew*5pEuMx?Ynk@`!IDg=dk;e6lJ#)V$*DPy|WC=^q>?c3z z=95yY(!vFpE$U|kOl1-Bz>D}8Qrh8@h=<_U^gvB91I~vw$YK=zDD#f?!j5?o38C#s zHP3U*)t`WW&H8JN{`^2VE{z=0e|BKBavM9U+6%IpGDmz2vxHd_kXvDzteHPy3L#PI zr3=)P98&_hA{hi*8UjM394LA_v-5Fs3QPRcbt09tifoX2WPT0c@Exrux-k4(xIdXI z+zfc!D*Papjr6-2qkejt37Q@edSDeGM*Xl*$tlMr-QG7F+`jUq=A~t25%Y{4YJ8gf3h@KrY9kq0KtDi4P5#>wyk|lyS^UfPdEVq*b+OfJcU_ zA^#?dbs3NIIT{~|BwSe!XlR21Tv@}lq8k@-h`F2W`f2Ob$a()?P3NU46=%Ef`@Zl| z+{eE-CpCb%PMCQ-D`W}Bn=?&D^vw2D&Kt+GdW%O(wtY1J%?qL25q{$QKgEx@HSRXh z+THrx>#D8wt5|lw9Yk+zT~q}Ae~l#&ikUa+g5(02e@8Tgp$UBrneqI_?lg`vAt(~9LT3(Q-|H?yOqd5|3mm% zCl))U2lea{9p)x^CDO0c+r}9SQl4s<6$Uvm!@sOmbsoYGmH&PAf?@ON`q3549Ar#R zV22Pc*t-#q^OZV`+D!opd3^b>#7HPLuvZ&zO_Q!HqEDVoVQ2+q5$dsBmwB@t&-{U>Y#j8)4iwy4a$Eh~YTj*yN-<^rg zya})u5@77(puEUd7CxgGeIwcGkOQ@^<7rxa)&bB$9Y~~B)I0w|( zBA5FZB>Dm@qS{^-NrMJsvX#9ekS|WO(=JxAU&aEoYXKOr~P}J$WzIQP0D>MMQhMnZU;?RlVPQOM1@Rx8M}x{A zKYCOri*qoKn>0-^!f42E0Rg?VnQk6&BYAgBmF_qFwXO zKZ%BKPRk@JDe z?DAS}@ZnB?v=mu*0-r^Ss}mH5GH1&;HQ1@lwTjXC(SZ2%C-_l~m)?41IZ4$RId09* z-NjnV~oL4^a5Nas7*xZ*E+1dEGYw@$rAnXeaiJxb^~#Spcg&5L!|92$*C4e zTO)6iCh6bXaznOYql(Cq(&Sg`4?iI2t9pjqF76o~Bvgztp{e9|s_%@ci_4I8fstD@ zWFqUHlj#XFrS20;I)ivn7afk_gynMCkFk>_iVo$F_1vv{0}t46*j`!uv_*^ zG3Zm@mT4b4Q3g$>c8d_dWHLc$0S)BgH&@v5m8&Q(z8OjR`TXX&jHN49t;^M$l(oCH zd*k>3uRD06@18;3!)4a&(P`cw#sM8qG=p%lr~M$_OWj8Cx>d2;0Qq{!wf{ zWW^JuN|FpyZd+DAbGTsnpvn;9pE{M}uh)}jHDBa$lOaZyN^GJ%v~Qq_8h(@DR~D^u zSck@MMP32ZO^I=VrQ-iHXn+km#KlMg9Cm-;-!{UrN+%g|PAF5zoZ>W?pX;l4hdj}A!7WKG4D)>4Yq%i&W!NQzWn14@mr3Rd4}^@WOC z11OaAHBj_KgTul)dzNhLJ&d{yG^RW63a*q4|5g9<8h}_2P_3J+FN*z(4D)YI*^@m8 zX1SIQFkc{In}UV1Yf1Dr1{mTkog9xF>sID*_8*+pyZEzDb$rj?iF&j|%)(iFt4CG; z`{pv#Jc|L5eXHMX7wwtW6f6uK@h=KvMn|xiupZNwxmBD0X0AN+z*quvleuBrUT1$)Fvh1O-SJhm4vS}r5m`V=OnfSx9&?L?6SrhCt@U-Q zbJqtC0)qT)>W#?#=YOVTb7gfy zmQ(Zq;qKSvJ^YBeTElkJL0Wl?^w)nABpcitx9d;zzuC@v!rDuri`jMD>tUMrY5xFe zKZodhMCfRxL`)>;(MX(&MABb=o0zzv8Dsy|jc=bU_LldUgnRqomG_vXB8;o_7e9Xs zV;Eu;J7YPb@Zwo9lLq$U|ActkIKyuB(LB)C1Yk152#t2t)Lkn3>REO~Q z`s(40;!zGAGcR81&O0X%$PV^6F{Hof|7R>)w756n>A+7BS zy&8l$)1x=EzmaleNn<%tW)J#VCWU`Oy5t&ZluZQ9QNZARzr0!DWVqr~%{8p~p$UPM zrK*!*q(A!!Kz(P~^_~N#UKdTZ;d9-@Gs-uBTMH2^?xlZz#5;hkB=ASj$Na)rZ`9l& z>=xeVRGH>pL@C%sd#v>$UN+}bqUQx{eJtM1NeV!;In|h+;Q#vbu;|z!g7SJuKp=pV z&m;?rDPlnxAi{bYml2&7qH+V@^@uCC!Tv;+giw5oR$f=D6ov7oD21R0 z_I{b^88Ql!==02FZc@CkrMM`TUj$Jgq)K6g*iKc$e{{B#V*1t6xkv?ZK5lG42tR}; zDOx)BTY>&d!5GBN0}*8v&WqJkDd_Iegl##-q*M>a4A3Fd-8Z|g<_BJRMcF2Xr1ot~ zs?bu!E0}SgMjhzLvf;{4KkNLA=|y#`%1zE-smV!&Z~0<;u}qLEVaD4}77ioSdim&45r) zP7~3Ax(j%jt!T1m+>nd1$U)YsHuUBe)RyQf9fOziog0;(3iIZhh6L((n;CM@A?wMt zsyH&vya9%>-Egm4qyxmbAf0nR%NaOhZA0kjxx@#RqnECy^o`~3KMWHQJ16I_vLRUe zCCb+}Ge+?zc2Y)NUzXl-r&Z0?Mz$~82UR#^gNOcTUpnQL({&dS z^4T#OFyT!$LYK59M9m!k-Pec22ZjdTD70~l+mMR27V{!w#9QFb49)-x&`enA1f)^zVBj*201B<~Yhoq~h8+VD`C;{nK?;^x-R?=Y6 zwmohj$%`$!C6EasVgJdrEju}h{TpVl>UbePIcqs||JOnpcG8T` z^cZ2y(1J2CcIf)|2h-z9W0i8|fh|X&u8-!zu z0eDRlH1se(lfi2UmeNEc&6jn?*nE#(1|>DaHbGq30UO*m{w#l@tM3m+GMsW03JMV} zT9_w0o{zTZ?_XaITkA5hvV6Gk36ZN9_4&KQuhaIod(AN3-j|Ygsf67FMGr}fT?F9S zNR@94MeUdmuPNywAK;w~QF5Sh=ZraBd2x;L999*?TU-4%9YU$kc8MPODcInv_~;?Q z8Kz6yY4-Q3HQJhZ)XYn?hF_b>+ydk2EB=`Zp?H!|qySBpGuCwL69wJ`sQ%a>_rn2E z;2BL~wQyUGgXj@HlAOL7?w!^pi_E!3B1KEcNEb)eU+}U@&D*ab-;R5%(tG!5$>bFN zIwP#uh*kN8I%HEYnB#X1w0oZXgta!+9M2jTHYWVW_v8s{PSzfVBa!IM!NheGQAZcoRJ9Iv}sbnr7Y=k&o*1r(asjtSk<$JcXB|&8>XZCCPPe$;gf-M z4IW|5un#BC`fK*DCwpQQw zN)~@erCWsG9Ka#(L-a#3Md~LD$z}6CNe5VJ#tc~+H4c0wNq^|AKS^&n_n+ZK!t6r0 zUiM8VX)Gd;bB#eZ_J8}F@MOh0DlbcQr3B`0de&ntSEOK)7dwkm1eCty=|{#8-Px-giQ_-8*g*xUYS|NFM z_&YGD*X+#}M*zICa5@HShTDg7r&(5x8WuSFOjyX)xJig-UD%>a$wFeQ(5E*YE*@v8-o448TbZO}vaFe@Q~>jXqjEkg`(LE2O26 zvd|o&w0w?Z#U&^j)t4};i<_d%JT^);?ZKsIUUDN8b5zsb#>B6(MbB|6grEn8k z8NGDg{p-|SGaMaR-s(F_P}HTw-(s<(IT9JmNbkO|jg6G`E|5(p5|3 zgvc596e*l-UNiShr5`A}nK{nYUm~2=N%a_c+?p5Ym=Hj2?QR;+lF)W4#2olR{sG6D z`|rY2DA}V^JnCC*Q?D2eUcZU+H-#@H_YbfbqBYO8NOrgcW9pjDhSw_goQX=6ZYgyW zKcJPX(MXwE(ChQyAHLoBM)^|NQqO#~AyodQQTbcuD82qhO>kt$)8d17_d;gGWJx;D zdq}MHriCJ1_QrE&<4*E6W|syKH?V&@C$lAuI7r{C7vSJGO{8=>zlJ<9L4Iw4D} zR>;fxB%7aipFjSccq|BM3IPS`#+`+}|88@={1GFJA&Zo21Lt;zK zn48Cg&3M=S$=b3O-^SS~D@*Q|QKevcH{H?>oPQlZG!Wgr%nuG|QtSh>T34a=#yFxh zGLj0&lZ{}3__$p$wnhC08=@zIv1%Pkq0uoSj%YopJq7K@prJxvEri1h@ZP@O;(b z7E9s>c=MQ<07zKPSod3YJ`?cH&|KUECUtHMqGv+-GN0z*3(2Hl0t8EQrySFmcqt+< zz3kh4$18lf*#3QazS~|k!v)FC$@x;QMH;{P-F~Rfo%>&B7=z~j)7n>uRoQ)QVuAEa zHz-Jhgrt52N{rHs9R<`f!~^B|NA&0!u~d^-vOXhw zwLG0`9LngM$D$e?b9`2qGjl?Xna`Hd?3xO*UwR7lx}(Rm@Zrtmg;I{Uz3AGOr8n3x zQf_&FbvV8oh*D$6f0j)%?GU4vN%~>R-L5voE=q>*nOLaLPa68cn9e+VWiyNQ?D;GA zRVQrS_Ou$dclxTC%*Brer5u?BX>npD=|#B zkZqCI?fHnS@x@8!iPHJEo1xH1)|g3Obr$KakK;FJI|=?)B_9)P37E{RU6zYy#P%~Y ztogqU`mMd^AOIk^14h&Vc^Y9eDW16v(phYwEef(S5Q~Z;Mon35c?IW*Fqu~PNSmo5 zR)%>>6PCV^TK}Hpr{6qntTr^ExTl(bBzY4fFLOFd?CrOH>0FVt` z-!x()TEf%jAZCdP5xv$Hy}m#OXo-kOFqt?6L)oZugfR&>$8$W|^-FSBbsCxa8}^jP zh?NI*dq4JdTvYG#DJaGb!XihSE!H*i7cY7>>19UFJK->a`s0>6OyQPXFMADt@;z(Y zCG=!H9Q1Jz3EUgYxy?$gWX;53N_#@+KUol~)dK<@0NV z4bRN$p_dADdSfMC3mU7GW9a4Oj(-#>q*bm>y*7gs9+0%AHry9uDNcMNAr^BHYDeIk z+-Nq^kdZR_I5GVRrKIx}x8c|OETw})&*E_uP@0GZrKJn0^%6nVtQ7@uM((%b*PJ8< z3sQpmjCo3Bg#tW}KTK{H{M1#boR`AhC}%&<$GV6SgbIW_r%|nsqPb;udMJSOc3*3x z+MmSbsSQuHSFJd86KkVx9#f_0fa-Zh1_Rq06b)N&a~EyANX;mG^kmi7#E=BF=sMsu99cJV5hb)JXh((%r4_hA~Th54t)$4ma3jeH6gkXWDaVeM#|Il>d-52}FVxLr1 zLY_t@h3|GJ=$7&m$|DMT zfo~+s6H73(ul%GfalIqw=;MqVJ&NH46&C9~e|`B#xg(akO+s5=Rfdwlw9H>x_j8-G z6gm@9iJ2An^EfEBar(@1q*z3M6HxQ341SZfB1ZD06_)Fc&|1>)(%|E;yZ?bxjs!UQ zId80*jD9l)`yRU8kzjG(5h`&8NS1A2$R&F z)5RmeHc_ivN{(KHKzx6=HIG0EIS2J7^^s3HanQ%{L!p?cCg?SeD%j@iIO_nab(OLs zNBRM0h=F}n2xB|QuC;$5hF7LDVb#ithf*2DK@QsK6!@nY1qX!a1EQ{1Ojc9bw6O)+ zI1j_!B_MnPZb{*7;Yd?+dwsp0dP;nFTd(r6^^aA~a_`lfoi$E*h?n=W?-az$w6p{_ zN=h}bQti6xJ5GJ6aiJ&7G_i5;YasrE4IEiwS*UA0R(BZR(P0=v-EsC@-LXHtVk5|U zdQ^$5vDlLBQ7-ufjQ~+Xz%2Xj6sd+OB@P71LFC$_yR}5Qs?A*JJnD*UQh0E`-`K$r zCtA7b3n4nqoI2<8&dETv31_4XwrU0>b+p{~YLSF{H%zw5Zku(#h@48<~e z>PQV>yu+Wh+`E_H|1x2kYK$>E$K;844b{(99LslWcow~e@NIL41=%fGkeEat?}w3! zdNtaX65TBn98zeMQm0;D=|<&FO2Y`{#}UYsiS%h;8W$5BAC8d?WSvrSeocW{CLCz+ zcF|C_slzW^)H>fSu~BasS$fS4w_vnNy!tT-h*4_^e_H<3b|gUhKzFM0q9fCnj`HlZ z$C$K}*96_YR$n$7Y%h41IZ5L)v_kyK`xSowM^I^`0xebizI+Ux(TabHYqD-0J;g?5 zL2yD{i2n^O$U64fqjS^Bm_;iBaYFmE&_^_a#LejfIFDk3la7E(MB8a~7)IMS z{_h3srPfoLWbSi#NcUeoEocapaQi}(fN{_FDJF+d;m#A1n!u9+obEuPAUs~O&$KpC ziRi!ipAxFI7Wa&b(P1)!JD!6U`t5O^BE;UoDwkJmI%(B<#arANEhz+LRM?Ys#}v2f z`dx}F&1I1xv!BUf`(`2KRR;4o@Elv}13%vtOYDx3=v%IRg!HQ)Fxm;;+uZVn&b zLfKX^d`3VaX+)qN_m(E}ZNARKk!iPmW@!t0>_oJ_xcFT$`WGCZgQ9Ro9xCVO&Qxa! z>Z}GBN!8|h4^loyX=eDc{lzkKN^>S3qLZ9aHWB)4rA6h)b@fydW;RVRRVtJ~AJ$0! znN9>J=%Ra8_Fc5Xf|FX<5t-inm!bw=8_Vy{Wg^D&L7$wl&sTo}3=1xU^@qv;kNM}sOPVb3{gWu9iFStTB zu`As5a|r_o`>R;;LfX#7a%yr8g#3nT5x?X%Wf*QqAO9qIUe%8- zDPDDb-a@_w$1oEYZb=110#K}oOp7Z>Nt71sonA3~$gG(u#d(x>3QN8dEHi=2vyMC~jow{$4YhrPPi4M2w&&Cjeh` zQA`PSO5=03Ilo4wCQ>NIJynQfv&uwm2B)8JeyWlGsyRj437cLi=}L*p-}9o#FASha z6O^wS7j2MtNY8U&U5)x)VVrUVMe~axV4kC~A=m50Cd$Ht;DqC6XF7rGR!*hXg2#LW?_CG5mIr zCQ~t?57RS%XkgiyHFu;AUv^er+MEo;mvG8e3`%|uefA6A7JabI(%VqkNv-Jy!el&N z4(hbcw)~QUIZ>8;r-H`F;-DZ*l5^rqVl3+c^Dp!A;`rx{->2wZdc9E?S=pmE=LMJ2Lqv zT6}Y|8lH%Ic50BSeS0QJAKTV9J*L+Jl_Z0ftOcrTc)U{U-2E1o$>HpYs1AOo8tfaA ze~g}kr-6M`vL@O^q|8^%d$iQK)-2$-i|-JJv@cwj<_9FOX$O0W3_09*HC1fzKpVG? z)cRbKQqLL3e=)DI-`S+5n5MaUmY@Uq$TfGD{~iQ;9G#R6?kvX;LJw?HfRkSq0XH`b zTe+!R=s0`U@q!jNywhRm};N6`k?*dA$pB2ar;+hp4WQ=WehnWm8)0i;% zM^NjAp}iY^>WkXQmgA5e7=rz|1&fYecJ2z*2poETr;31VvX7KbU3(!8w8R}eITcNJ zdhEWB>{!Y0_A(Eaa5of59(j)FgOCjn;97+{dv)~jj3Hejwa{5RK9q^4L&#Xw9F5rp zopM=UqY~Z8ekfN7mGxd--WPk3AwX0fh)27SfRRHQC8HR-%RgK>dKo05hfycc?>3LF zY*zp4v2GtuO9a!}M|6!4l6P*u%R)%d!8zB zJ0mR6>0#Zi*$_J{Tl53G_8i)^?i@(fy|>nOs1MF00aFdso+jgnTYHV;Z|L;uhtN}e z+WeW-x=Q1LuK_n562Q48Ui+BP48`Fl#EaTe{l~g^=D!tMdnC8sydP;)p+1Ztugp|v z2hZ=Db_an(Klow4Vd~dk3BYT>v{wuLVXVi@b+}g6kPOS-Y zwd`h8Ygb>epkMs6)7W)#QyBiDSpS)yeTfbqxuH)j9a;2z^y9(7UF$DRrfJFv9?}81 zhg?ibFBnkOg9Z4w6M{-mB1aWt5BW-8?B^k=`Rqr8dQmJLwYVIE*^`r#V`L@hf=ft9 z;N#=3oO=`kP~JiWDHZQ?8q`Xvqw2D){qiO=n7QJcSGhRQ-R5YPZ`)4U-1ZX9ATz>W z-MWj_KG{>+ra|)*0-oRmEa9K#>HqIeoK&5(=)ZkMJ(9=LS>em6u~A%J!a)iHNMe5V@L&E~%*K zHRt+1HPz$y0L9e#bG}q`+@Ntu`M1|K%AiL+KZY5Y-i_KA@qhNG4WAUCiIrYTk9f1H z`5VKtg;9t8L=eqV+&;F#gT`_P6>-=X~0!kSb@>oqeCh$kT<2Q@aULI(?NW z!fTd}HR2K2oDTm!bMCS)er9#>4=AZ7Hkx({^^0gFgIJiOU5 zAgGlyGx;S7U=3zPiBor08TDWOoNePdfTK{ledrFxHan*X%RAap@=fzRXbM&WNw1SW z7Xr&LtmWH_2KtueA3svO^J#HG$77|R@lr(he_XW5K83PauDRLS#W=lGu(v;MgocNQ z@9gaj?+Rd1yzH4&5*bP3wvt>+y@O@nrB0V=C|&+W%t@BVZs~+CHYO%SM@Kl+)aPL4LH>nZ=4g8}OSsRcPoEeV20q8F$|G72 z*c+x|3X5}=>7fvCi5WDmzAEq3@6bcL@Fja<^M|_ z@libq267v0#8#2i@@XpRzia*9#yP-|PT{cNVAj?zU-&KgpqFK?!IsK(*&7-F&GtHx z@wq+CevtQgK=1BcZxRrHKfNityoI)peb#BVagh73b!remw*f~X|E^kipacbQqy8P* zg8ZM*z~6sjfa+0ymlikFm>2}TyMcbEv9z+{AdTeW=C)ty@C&s0p0}yJd_~BVXt_{U zP+**!URUCFI>PI|og2)+%q&)@5~*%Y{u+Ycc3xo%QCANdH2wurR(~xtIigSgkm!+L zy8zUluK*`S@FS z<=s^!Yzf-dkL`OY7Ddi4DkFmmUG^2})IXwYaI)u^Y`oWU=zU1W3)S^H?oI#E)!Tmy zzlQxHY9E-lZ65)oN|{0x!K01`0o|(;|BeJ>{atfbSQuK{_2Qw!*)}AKQfNpBy3h^M z_602y2HbgKQ~NO11=FKwq@s@Evu^^pt!5%TeU~=Vs8bV0(s`ME&!l|04q8oylNj}` zf6fw?NQ7tG`kbZ@{j9Sh`byG(@!@2_aV+vyAbya6mX>zNwf%Z=0%};5V%RXBcn9uA zKD=LRXYT-SWDLs_gssO9ftFjI>^Hr!YhFal`Mun(2f^oGu3o+3P{rq;t)>+b(Sw1t zV%pNgiik+f13jeZ)K|7JH&?zmSS(v`-^v_HZoe^+fNVmu=!E*?W2B$)x%?)^2IFpo zQn{_%!=e&yc~$Y1+uX*csJuMl=T9x++vDiT@87G(6~3C7TU!@aR@yGKydcIvyv$+A zq!Sb_VPIm)tE!3}^FDBFTs%O?Th}4dwZi# zed--cV%5GZ_PwGfB_rE8JlyiViN5Oux|+}RfLyWIF*m(onxhpCvyw=E;SF$`0R)16(RS)4)V;usnnqhwwMY&cTTFj|69Ua+=7)NWS z(G31>07*i74c}I%gXj6x%inVRUGmaDOCF|ody-5p;*$ZEUjB04YiSZ(YlVr}V(kPH zsYhAsq`>x2!ta3ctN~nv-Mu{+;N5hpDhbtnU~R68IeqRbd{Gr0d3y&mz>h|In(683 z8=wfbCZwozI+9qi+Rh5u?61x&uqXxjR&5>H6h_sI=(c{Yv*>(Hh^JTL@AYB5TTTRBTr%H&Xl$haUAzH7{E9=BBBGQ_{m{W`>3W1>c{i4!R z)C%=*^)i#YTlfv)mE)Fm`KK1bh<#80x^i|Bpck+K`&-*x4|Ty})&mhd59wcf*J$VW z{rmSon<3WM*4C_GhpcUaoMCx1!A z)6*l%@6sKAu2>JT`NHHRiYFOCzW!Ya057_*A&s`Yw=9H(6&2RG>GkHYNfEfJ$#R>w ztejl<$;G@aGu6!s3PJh^9iUf(UB_?#E5PAb59%Z3HfZZ1BfVmV^3VBs0traMp%1h< zY|%y|%lkre<6G*BAv`6)TrlTMey{ZXwA;SO^V)#V|9St$(Q3D>l~vhEADJzKc7x5E zq2b}>$+e3>Hm}!!)HMWlU&7MT(uBq{ToQOhhV5Fa#kci$=^2&2@V%jQa4}SEeLYjL zQnvc-FSc7zNZIrdb7e~&Ls*7cJjWtX#YsX&(@gj#w|_M7DuUscxVvj9Q8~*@#`B(- zev2k`06_*RtgTg>*m088)J#3u&W~o=8qL(+Hf3d6a$CcElyc+&h$93NI4WGrH=DeP zadEi4`s@tNF8eBA8`XS?)O`p>6e}(6zT$_H(A6c1nASIM-VDVn370xKIk7m^5G4%u zp)31b)MQ8cNRBoff8#O*Dq|GXz)77jGchp8bvSH=Mv?Y~QE$x|%k!E#WSNYe_Z@qU za3g5SEJ6$aT1wnO>%a*9|A2s?Sdd!ruf^w#KseNYZDpLn|HXv<$Lx0hiO2l4x+Ic_ zQ@6kG8f5xo%8+dQriFa0cT9(M;ZlsJi@ z@$r99uqoGlfsyN7bX`^ex-6a7c5_ef?j_Y_2TDn4>AjU$DazNtlHXqMPL~PZ9ChOp z5gFBK&DC1qRkmI2HXa`A?{7SyxYEG z(f#x{@PSwwq#IC^Aitr(^=vs;IRx5%2XDFBEz97u_eY`fiV3Fl2#Jb{nlKVMFIAeD zoa_cNd^uw4(+#jI-hvHudl}F_5j_POzvc2*I5~(wVv_OLAtb<~LgYA9Nf`p^jHQu6 zST2NB9p7={bwJGMdQiR!zJ%ts>|4Sp4`^c8&0Iz=EW}+MQ#8z1Jb)Dhrpm9DBT}6%tv@9vj^cF zot>Q>%`e|3A!fn*`l8C98yNuymE7g|$T!RM;7rWww$; zui5Is9V&kRpQm{792anTIx!0iMtY?za_Cp59bDfFGhgJ6hPHE70MYtUgpcm&`of)o ziR=XBZFr-Fl7ZBwMx3PM7Fki80cgMo<|>4OLcoSmQNPFqUh!Rhh=!szRhyj@qi4WQ3*^UsF= zHp|~iM6`hO?>-6ZUt2}kcD>sTJwER%E@1C(u4dae5zx^6ay9rK*eI)Yv%2|}mDt&1 zC?WrZnq_+@0b}a0JH>e0?R$xB%$YiIs8j!*1iI)-m3?=!IugOx)_0F{ssSU0mp9nvXA$2VN3WAghjf&u)Rxa^@OTuY7SnV@7+T@ zspR7$JYR3U1_A-U00EzzNDt#k>F!JkZ1x(f+2@q*>o~&DrZIz>Id;;>57K9z$Gt>z z0BUB#zL}Z7f4{y)b;oCIZ4DmJpD;gi6ZG0u%|<}Cek$J#;3b{zgUSt?SaCqleS4u& zA&O9)PR`B{(1Wtdwjp3Po5x4M-{KyD>mq=7pHQx!&+5_Rqg8pFTLPjWY*(XQ*4334 z)MQW6>IEB8C{lg^p~|37294v|FT>k&3JV{lkMsc>e>v+5*RUW4`Cd@L@Bh=g!JxrA m`7gic|G%34qs%$K-BD#6X;cqv6SX0MFBu6%@z0|A{{I6v>r2W2 diff --git a/_images/5f426630cb73265257c98cf49a6f478067023cb5a7904801732b8888d399a30b.png b/_images/5f426630cb73265257c98cf49a6f478067023cb5a7904801732b8888d399a30b.png deleted file mode 100644 index 7db7ffc2a81734770e4fcaf572d767ae1c3bb8ed..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 87685 zcmbrmbyQSg*Efs^C?O!-pmcYafQU4LbV+x2ONq2}gGx(xNq2X54&9yKHQvwtylcH{ zecwOdS?f4D3^Ql0v#-7PFSfx7auTnQ2#{c4U|vane6I)t1KSM)^NjB$0(j;Y` z@H&dCIV#y0JG$uE8^OrxIoev#1#pYe!J8o3epGjWfkD%Qp3m}xbIo9$!N5qq7y0a(y5H#HO1v3&{Z!Y;z4OPV zpRU@l&flu#3n8WkOwfKgqAu)xw5%Fg_#%a6-#0_<(pk&$QbJfevH;mO1W}e>1Sr+4 zU0ABU@kY`rW$w+52{#X{(U$55f7F@I+(=s2>)0K(Qr#epkS2!^8FaX3i2vuJr&S+RN2N9uJxst4IQI7qW{`Zl__IH>Ki7`SLHQ8HcOeqp}kb+s4} zX=7@-!k%%1qEdjJIoi_|PRMJ!(vo*~d3kwyQR0(!fA0xC(9FzC%Vp8&{OStrz#&I_ z`2KD?Gm>hdrn1s8V1H;x?y&jEduuQyNG_M0nK_c#`y`Zun_Iq31FRARv#+iR1}t-M z@96;haM*4SgI2BWOmp+o!;wS#D{ciXEzfEuE4-(3`KJ!>@#>B47o`V$X%PqWHP2TZ z`P@!Aac^#hedLstv2B_kE=Rn%Qo?P#&r&@1G?&+I_evy+RM5OGU3{)w3N@-ia?{;I zax=Vd_h~rZ(O~Jfe|yD~CP(72&#I`T)2!5Bj1)M1sjBUS?QwOOot0&1x_o)*TwJ?`6e~q3eBFvhLr3?!rY3=y-x(b> zDCqL870tUv@M?iwbShW)!3?Yvy=pO0^~1S`?QJ#tg;s+zBWjR8>BF`J_|iYtyCcuq zNgsdIEV+j!Clkm}DYZGr{P@8mk4^!OA6v9^ zcFs)pUo#~lk-nBX?M>;;AN@U(YyH9!HsiBc?*vQ6!NGwtzcf2bOA{xx8tHSto@eiU z-A;=1b!2>;-2qqlS)}k|EzC=g%YFPgoZ$BXfylT>30n5O0o^`e5ivf~#f?l%a8wR% z+9NtQXkX7aKg{dhEqR^|imIr@k1Q_>@9ZtqIpo5;Tz-1I3bG>IBT4P8wwi}~=enDp z`_0Pdunq$LzLT9mOoYuGaW~(* z>g?<^Z5p%Z1t~ z>I_eN^N>MU&1%bE;O@+X)GFq0JUui&b%URXYHH30beHHhr~m!?_m`D%Mbfb67W?1Z z-GcX-pWdNFx^2d(Uf(r8d02AIXO*1oD(9RssCJ7R^0BDfM#>JhCNi(0!7({+jR_@%L zEXXe?Ae^%~+Zyz|>DSHq{o5}=$36JS=jrZ#TSAy1#7QV^TGuD7%3}I$0yWnl7Z=y> z&vZ%LHcQ`!i|cpkgsxYfr^-P-D^rj}MwZT+`UKCM^hA+={`@&?MyR%^zTSPn;JGi% z#l?jI3F%8XQ&Urzm4~Zk33NC%cJ`YEh)~d|>HC67`$=WhSE1`9uM+w@Lz$a;zP%!( zp`pRM-~$W$i3ZEi#Kht0;R-EO521FyykD)!lNU|!934b_=iY_=O3SmRyTzk&%UQPK zrrTY+5)o0+wfpz>5tJZA`BjQE0;RGEE^|jsa~zp+$9tO}_nPe=E~d{G9ER<{qeC~b zOQ{1y&aagW`le)j3BvcQXm#gf($I}uxB89n`W_-Y45G)>#)i~+=&WgP$~f70(x>Zga!al`T|K?k0Lbp% z9yu+oS;u9om6w;70m+^%4?5hNU+XVae?IMGJO;lbYtel?#ZC7(D}^EdXZ+0{j|2r3CL8ovqlN47w$oqN_27i zGiCm6XIpl?lnGzhlAtRFa;(*S^{XNVP!_b*J|en7cM`EHPsnkulnd;CSM&9tD+f5wu_ zkWF2*o0^*Xx$VWIDjIJW*-`;WDv|29MSuQ;c->u|fI=mxXW|3$3m(chy@E4&;RgNds#skd!_WRCv zr4K_giO)w{1=Cs$hQjoS-!mmt=yxKi6som`b1(Hw6=~Aa)2~Yi-@ayKWF)@?cW1>d zw@v1oGJ{6t_x2#PNa$w$``2^8z=@Ce3^Gi5=9(tQjpZV!p>;~;M;3-ZET}ejD6M-t zHX}u0J0uo_`b&Z4LqPXH3U}njh9S5EZ24y(u2M<=wHDy|KxP@;aU|CnuBomr_qucD zvYdf=Cn<>t7VYnG8*=-lg|)TuaJpc7_2%a0ukoF{k`noC0#J@X;^%4o^26t@#)t6a z=8NB4l2a;mdqVTQ5wy&#E*F$E@vYWzS z^wwXBwXB~UgIs4fF3bJva|kmhbK|*Uc}0cW-9b$dB~o=wjgq>0?;quY52^fENGCzU z_rB6hb%t8h4>CHQC*t?sPo)mV#>N<-oihzCN2OjC78W~T_ww`eum1b05(8G0ywEP8 z1HbUoJ=lIPp-s;BW{@95(5ZAG*Q-IKI54Xb{DubQ74SwNV#>X*H&s;UyZ zd$^r$1}~V>w87T#d2oW3!A#IwFl=mXA;H7Lw{H~cHtVQ?=Hlhe`s7UGD$Pod_$;o`0?`7!*Uzg>2Lnt zY^AjMqY2TNR%!eyER;ERZxp-Z;^szHDNyd|>%)MSOTD|xgEl33K}rxm@+^2LZQxes zn2Un7binK7jR#fC2G7y5`}S_o#+&?Q+eGqLfr|+xQE~CWpDG3Lp`C9Rpq1Xq>Eio3 zs6-3{8N#{>1(Tw7c4g4|tx^jvArPbr)cGTjM{ux^0!NmXge>n|hfY@8gW&75m=-`I zDK@`$Qu`wzf!gz;K$rL;vCcLEUc^%FG?3X-l-Z`Km$+`X|>uN^_}>G2`6&;4dIAux_!6-lE=rBscfO_qC+W4G}&oCruo znO|7&;A-XtcOefC4{bTJDFL8I70De(G_TSC?HLBNZXnC$I&?fbIXSfvyDYrffIyH5 z!awv34q}50SIxQ!-CIvRa3bhKm*!QVQR%Q8o0xbnBJvEHICQVua205M2FKa!-EFR z&9u*hs=K>;4tC6cP{iARNfVdIf9QnF2jsw;eG_5+gEMDm=hK*s`vB0@MWv<=^u|!% zlsw%sM-cOOHF@2EFeI#g!ju1w_jD{2ejhS_ z<>v=`95p69K6;Ovot0fN!&r1-~ z>HW;jp4-d*jNzawprFXy=y%Q!o8Ek9n?WY-G(7sUmC;)SFcWDIw&b%x%6YRS6`85VvLSibJ! zzFxX&>TdOaQMVRCUwc@;XKHOtGS_WhrKqkhX<$G;47&I{;$rBx`Oh&_kZ6!3(*?G5 z?Pk2@w`y(ooooip>M-hbSAElYP~)LbyKY2Dd`Mj)1_5X?U@EJtPdk~tUyJM`^nhMbUR=C04{`_bc{Cw$UGe?p)1bv< z@8FPMR743nsY|T7mhbQ1Lfah>k-rr4w{Go+kSS7RU-eqYNR-cZIM%{`uJN#ie+zTn z&T7uTc<$&_o=1@(D_zl3xxIBwXF}RKDO$MeX1K%zr^F|EQ}m@zYI{b`hq`34xpftj zT1`W1AUu#eTCXQ@lb)nyQL6A%+%tlNLDD%Or1{y|IdM)!=go20x3{bjPVQ#gXBd%U z1EYRLC(0bJsSzC5W-X2=7)^|&OsPbDe1rjnNR-LJ=UsL?AVRY@?(rvkDK;O^tUL5e zEC_=y@<{S=R3(g`Z9dH81Z?s#obS=l}V3GmZ`ZpR4P) zPdY@5T5{sb$l7Hj>w~MknVFlb{57YT$b>rurW4$qKgxZ}qBwT+qa`k^LnKX>3Nbv@$rCR2)B-JkLee)G`?xwo0ydND z-xyyArWskIO&R30YZ7*yxmQhzzEb#ybn>dOAuRt+l-e4gO*b2|fT$IzRDg{Jie4AU zt>3C`=BvX~Y?|EqAc78?YS8Vv*4B>w-L`g8+@YBirVa&3DLmFhV5jaotk6FARlFDMbQSu4&-{*IMQK>_tL#FmB&thdl~e*M0}3lv$7~a__?k4 zzNlS~;8!cthc8eqF$Mq%5C{MmUdgEERN6yRsNL!svN-R;*6*_E?k|lwo(<{Z>NqlU z4tt!{0UcUoFJYwm-h3Me2 zw2BP%g6acn}uSr?(rj|3OzwG=oJGJ3s% znGHYFVIu`rwo$yXD<0oHR$4yjB#l@_djB1br*oEz7<(3{(EXyeyXJ~7&p{-G{hfEn z#=DGH8XmW1cHO;_V=-0@wyLzlhD_ZW1?|JWF{oO;FGGBzO*P_DPZ^K{X+L1$)+!0~ z@E#HAI!!8LR(mvoYzxh}CNjpq^{`iM6C)x}K^qm;+k}n|=X-wcsG*_3bbUJlGUfih zW!Q&xE!_}M%J4WYudlDTEqF!`C>xHPNr7(YCf$y`4_xaod~kqr$GRN>At4l58XNysDPVS$VEMFm!lP4yn>oru-dQ`W z3@7pvFfCJ4Dj^{uS=ff4GYK7>vmrYCIf>trrM!wPPAkP(uGiWjIp4U1u3RJ+ zK_u);xAI1Mm8#Bw-#1xDtsLiEF?cv>%Q2M&iJV?<=r~x$<#fUR2~yffMb|A zQV?gT?qoR6RNlvs`-ZnWlO@R<8@K+9npJ3Q9u_Rh3lVhF{R_L=!9Zq;p=E?{zsW%S zg-V_nYx(aS6~+V86H5xQe^jVt8};*2We{$95pax5#`fekH*4H!>&$tpj}f74U|)Q3Hg;jR)-|=)sIpba|F8zAnm`Xv6t**l0&iY1* zT>-+w&iLx{><^u1Rxes6VFkN?9l>QWd_5QcIX2YP2H_2!S;+g8zV$O(7o97kzl_T* zMfdOj@TDDY(z*0Kzi_A@npj}Wvr_}{jYG!6FsWV#{$@4j6PR#z|BmX4jE}kpE$7Q(ey8#XeW_ z?AQmvDD)Y{8Yj}oa%ZYU9AQc5+eNsz=k3^H1_uxME#?{9MZ|HOQK*v1nkl#o)@pQ4 z3i^;%lKLGQto7+g(b8m<%!N*FIpkl3^)>bIaDN!){WkH&#`!T8+n<4bYAFr>W^w5#_RfFflo-PDDO+0rAMNa!Otd4xd7E^_*fGeb>q|DXO7CPy` z6aXg&C+9N-6_u{$`~GIzMW^Y(EO!7;Ig1{2_!jlX80RV;Z>uI(bBp`Mnwe#2=)7n9 zjTB;ye>0qYE`XFpSUJGG6gN0`Z3{rqSkbu9M_w?i39L5s=S3!x9q~r@V=`St)}H(# z^E{BCaMq+T+peHpK6hNc{$hU`$=U&dXVvdY{(SAYn~5%EcvCI3moxP{l|x5ShTAMI zVzh$*k_rD-Ey%jacN(Tna6Q#K*YnuCSTn=J6#hG>0MDF-+j#oxKJ2P$InNs10~oed zzgN7zJ({_(B`45&u-K3=n8K~}=@YBv9q2W?0a)nni=z+zkm-5kvAmvaQM?LXi-+>N zsG_3c2DGX!Tf-S>EfvE;{e#@g1E6ICXgkHth>~K6J;J5_W~ItxCt{lgyKrSoI&?U> zU3qqG#l&WEY#lM$YP>>Vxa(Aaa8n%zCHbVePvaI~gL%6M=UPclGc|2fYHCS&@%X^M zh7SXjQ+KltNGnxmY6;R$k=_#*>K()N`K&@MY9^!8mXR*p$84Of zMBK}&(p3om?B4?4>4G`v!z)eE8{ree>Q5Six=?nvY+VuW|o4wu{R{N1o4 zHUPQm@T_7}fv~$lU|U&=sOcrBg4|4fWXslx#6coVFFany`h3vZL_YVGda)?6dYmB+ zvBKfiKC<=Tq}^rdx)cmRZT3_#n!a!yrD=IxTl;SzxhcAHD}SL~*#!>@Hu#a?~{*F@!>@S4C?(8zfZotkvGOoMWvr*mBxvy01W7Wj{)-614x^P2oD7TptS)2 zfz(UCv}O(69k-*MfitpU7&J1x=85llh>QWu6u4gTZ?D#M806fatuPUtg?3ro3%1Wy zb-g&BE^VH;4x5+~kiTYSjUpFx>$5%r-g5oy21+3Wlv7eLz4wd4li**NaB}^ z%ezU3)LylbrGt<7eTF_MW4CmxJipGux2o@!%*)!|%|BBx>%eZtJo013W=rtpHTWQ&p6^m| zp=ek}6^}RnG1_hT&pt{;{N>ja`cNh&=+31-GH;n!lKd1;Y@}0-=R(11Mgeif8d4cJ zLB2znqmLXT(FBC|eG^WTgVj!9PxY*&YoiW~H(;vm0gF@Nw5I}CQYh2D^fw7;DDE?? z88-ta+eb$xkfAh#^ee!lu2y6`?AH>XmY0`*5Co)80^r3p=8lJy!LKZjpW^xO{ZKOju}5TPve~b;Wp{MGqia zlsbF(eXg$EK0%?_r8O*Mlv=$#MY(-gt;E5fKR;l2htAxbgPou^Q``!21}{ju2P{;Yrd>X-g_#zYya;>OFlUk_*` z0v}CGs9(K$wVuvRON&@A88Uy+WyvLLLG`t>WO#+AtQr!q<3Mm5h(e)@8Wu_I)q$=$3)e7JXSa4|1% zj8mm1=)XkR^A^^%6UR-!kEl}?Ti4Hb2y2oUGQp==?Vp9UZJg_Ps~7=h7)fS87Gs9j z;H+XG$z56ov6nYptlX;JPBp@$!YOmmI5Rst&?Lhv9+1yUT3TVVmR+m1|Dab@iI-KP z*sVY5{Z}aK3ps2!%BiWrZSXqRT^L6!D4jn5Oxo*$j>W}Aa+Mf)6R0Q)Vr4grV;HKAj>#ev))|eb_Qt=O6zhKT((UJsSQ)Ct zmSWk#0Z+HQG}j91hdgt;(FLDB^Qw9wQKt;-?iakb*tt_;hjgq&*$+QvCR*(j!$M{0 zu;$?`WY*L5``m}K_v<$FCpGn@KDs!d-hkqGf7^KbNf;B(cV1;NH!b_dE!Vl%)Cqx}cSnu}7W|ei|$!IFS|TA_09&5A0biEUYlA z)Nue86lh{cnm|iI=tpK-J}j@Cf^5Tr^!*^dzk&gaf)FDzF1EKtNY^pIBQjJE=M5Ui zA%^N6TS9mq4vY3|lR_-H6%&EGm)IWiO|LtSktU0oatwQi)-P6(R_q@-Oz|7`saR>% zj|d-WU(++@1(n1OCoVbAdN9?gUBoA1f$bB7HS_BJd9DZC2s>E7?o%?+|tA zuIF}}u7JP<9GwGT_n-fExbMJ}KaMN$ga_cE@(9iQ___D}I_YznZ6bN@!ZqI)BrAXf z{?ZwOU8vKT3_6SPg@pmA1Y0=_6cA}3B(*ghH6efPH6(b=Z^?r9QBICz&U@MG>I5iM zC)3T3*fG5vm3$z$Ms_-|Z=rn}RN4kC&B}@EH7JuEKzX07ciPKx1UNgv%mKmlyv5h} zh1VmVT=R^zdSXXr@ca&4n3K-deNc!xX3x8`63_L?A4Ch z&S5((_jNR|!i5K7Ew0Og-3tJx)fjN-=;&tZo#+X@oaq%s55X+2idy4?7~$fven?=TwYJZaQI`w~-2_vhr$o^CGf z=2D-H4Qj-1&Vr8qQ0-&Q&_AI@K-}V8yZlnvagBu{?Vt=p zM>+RMf9tmz$z5Sdp2o0YriY-=HW6#5>zihI4U_ZKe|4cjOs8p)#X_03YYkc(zZjNPK29!eS zLrIgo6ckJpw_bWn0t>yZIJii4Gv2(tKeuuylT2d`T;fx3q&N*3aaGsop57O!ij}-Y z%q|If>mL~?jU!9LPY|j!zqy(1Uj%xR((MU2a@G*Va7#57XQno{a9;nsRd;jwiIb^r z8%(r2^*kO#U#|ELqe5DBy7`3LyK*rQ{EZ#W&nL#n=2!H7drB1V%rT$R$qpETSaUUsz6TM zy;DuvBM%(S+VIqUq8>a!-3`ArhCSl&u37c@!H9LiYf;v>1pIM*l(8QydPlp|GcThK zw-r5zvMqQUrP0o|pX4dWkRn&SO=8-DJoDVQ^r`0C<5| zsR+3&zW^Ibdv$hB&KOWmBvdKhyosU#P`fJhz8vYYPUrnR@e7c7#J znV^^9jmt}jaeVYHi|h<=&&7(0(WN*f3JrOs%2&{_h4YGEB!l5wiJGxq;F*3=3V*1( z&)7`&yhOwHMZmL>f=w;u=sso2{Jc1O@b-c`_I)@-a5t1O^~*_J14?#Xmx{+1!A?Ee zMQd)i2pFj2eIlH8x?ddvzfgQ|y6bVXva7}p)e+ZS9(d%5g}OQrgOR@~aD0#r3Icg$ z)Ym4`G4xxACB5@{U7En;4wB;RZq_h8A2MBFSYVQ|)R+v737zCIk)f13eXKq{n+L0- zs+cP0_1(`yE4w&$2mC~)k=m8BRKU;JkQ`>UQ*xnwqBqjgF@z+;o0)e1i4j=5v--@80=U^Km_XxB~FXrc+b(#@OSmAbs?d>NO0wt3F>|`BoG8{M%*My+V1M9cX z58`9O&Eq%JB-u0O>BauTkMU_gKXBP(lNyr++{Ta`!#NQvxjX&j8vSJ~{PQ8X@NF1k zpXUs``W_p|Jg@gWe^>Xn?)Ai5Ano!(*6q?BS(J;IG>Cs! zkR^zGN{%X*=~uX0M2=D))yxh|jnntqiI6&}sw)t`m!?A}raS0NQ4>l?-9J0gP=4X0 zt@G~ha{rmtLMe^Gu2XcbM{^PHmtF*k%x$6l# zB>(8Xc zlFa&;!3ol({(H&ft;$Z=?f z7g;%`o;Q27o2OQpxS!Q~L3};lEqj019;4=H&c?uJ$fg!+wAvMdqDZZFfd%JF?%|>^ zKQ*WylyN`7O0>AMV3Q=XZ)`S*+wk0($gdPl&Ku@MI<`Sks1Us5P0W}F9}wssug7pM zoy6Q9MNbd9c+;l;K{n^KfARU=bm!{K+=$<&$dZ~Um~|L)qqrZbws0ifwE)6Ph8|J2 z?#kWlT|xpHjLDx{$OUI=y2;yhQ9U8&l`X@uv1yB*dAdW9t01iU`>XpWN77xK@Sz zX6m2?w5TdVzkaYoFska;J}5u<^6(v8woF%fo1x)Xogx7f;&rg6WrI@cnV4S*>R{R9 zpDBjnaU$8rpj7PQWzaT=^lbJSDj>MOtR(rSaF$=_wK-4?n=aiLG(zp`B{XCICY3^k z&vYK`%~j!!V1mq*cj$0psJCvSN+fKqr;vqGJt6`Ta7OyKAeM=C(Dd3c`6L!irtMqU zD@<>SP(2To3s<4dWf*7sW#E~!@9p-6a*pohr96$tcW}q+L}dofu7V4?k+NOyPq;g* z)cZRUH}P}IJ6j2Z__ytY%r0onu(#~$>M(!nSP~zRmmH*V&SC;O7|6325E{XB^f*Sj zdco(xnn?Kcr&f8f_Nk9Adl5Lzwj4?@#3?{h$PG%403DxOulsL1Uj+`Kf@#6(ea{GS zhhAy>FQrbR1N2>%mqh;Oz5x`S=S>(8#iLKG*`dm)_l-Xl{29^oqwuFan34`34o|-K zMrj`^^+xq?Wh>-21w=OLNS#x&?%a0Lp>;2#uRF0P_`bpS;pv;7)ZWiOq9npL!ku~5 z0e9j(e{K%QS_7RswQ@8XmC}N)mdR=!sx*twvzcrl&-Di_D6bp@xDq*5Kby6YWAMNr z+Os{=Q0`XPZ##UtVv3L;d3 ze5Q)|?PkwP=g;*W0;->{A*t`_u)d*nK%~Hx<$GhsbU}h^!Nkz$<;ot4Kk;uFE~`G< z$GS~)vc01s{TM-XfUo&3`q^mfei6JXy`BX9QGLbiqzySb?qVKROtM8kyIQ)5fv%Ep zm9`F8g2EnBb&<9mG^N?y-&Sh+TeP!hO6PwURJ)B-i^+R`6HyVW7HoGI13>L`9Sl<3 zuz-$@yp}U8Gzm_N9dMjq!`Oj>n$YnobgXQ9GI!RB_ah#|#-HEUU?`)(iX+xs7WM`bLnJ(lK*;CX9zAicRIv&;3oben?lCIf0 z!=`QIhvA*7Dty-PU9BuPCyyA`l$~h$s_k)Aky%YDKLKA`mMH6Kegmr#XZVKHmP>Vm zI(!$)!!OGB(0W~X87e^fhr55K>(ONVCg@0n(Xhyy+~THK$PiWbUS^2Uu>R_9V4a%W z17$ANdns@CXZ<33mWz0GAR*2xc?BZ98vGxE$`lZ&(5N4A5|l|~=Ag8^PHY~WoKR@; zsT$tlx03<{2J}TcXbQ8t9qc2gY9%TP0Fk9HvJ{k!u)o!0!d>TxLF&N%6Cnlgy!nQRQR{1*b_Bj`9QFT#C&+6S-@|1 z8`Juw1J9{cC_kaf%sTcF)szu?55C}ob2`!94byNr1&L2Fr&y~7t8?uG8BfZu8aYP- zrLOo_GEd&}pPWm$d-jymh|KL!cN)psJ6>Vq2S2H$Ml6lL11-}KuQ#yBoB*&81{A%% zzCPFUQ3Oua%?{5r`v?Pg zWjR|OsA*kiG~@Prlm_aw1g>Awo&9|Za&mtt2MqO`iqXSjV6aQFV62-$b0r$<$skLT z3L_9?XHX!{<)0ha-zgU)QoQ{6sgJgwO)1u#!2H5p${%ebF8euwN71y%^j?1Py5ur%xOP6!H;VovQGf0U*2*2EA$LbQV?(}*hC3m@jkx8+-HWBeUsbhvN+ z*WCdXV~i5CyGnc>EP&mTFM>o+%KC7-*>c(ANDy!&LMp{tk{kq^9?N$m(^?L%BqB*V zzo73a-FgZ^x$;Gq<-wwwCB9uZ@7wW=(~TJU)BTEJMIgxl8%`~NEoEv9P&p@qGmUac zSpNj?D3wR5f&HWUwgU<_>&?AA-?^f5 zgbj`wK3mnP-z+()%8e#zcIREw{6F%XcGPuc(}y0456+KoSDh!M;H!PV5zKeK8pF+2B+P3>s@q;k>6RnY!iYX+yoa5ZTC_S83!Je^pzOz#Lv5 zu_)g=^&0f2qZ;%$Pc(Cg<%f6c-lVtVr-!Bx;4}j*XVvI z=Sm_Boh~cR`x*vEv=5qzE7a-rg*&QIQxtizHx|VUA62>rij%`AJ^FvC=*-MZQ4mlw z&$d|6SJeHXaGGkEOLLl)dS%Frt2)b9ur2h6cr@ks%lRtPG+xQQmy>~kss6bBChZsZ z1^>@2<+4L7cizGW>az4h2KKZ&;_%K{uipvXOZn|PXfc+bE6mKe_N0`0D#dmDF&@#HKv! zju+G(`r%c6B6VXqqT;I_tMv+PhtPwPY$}BFh)d4VQWNAwiKUd$aoyvgGGN{Z z@~Ba7G$oYtg*wigA8&tQck*VJ=s1Q2UiS>^)af$hvq{tUfbo<_36uyMGqY8&PumRH zR&9BJ*AXgJ08_R694l~(2DyQ=dl3R;Ln2O@w?wEFK2P2xp2w|v^Cfj#1c0KCIp(a@ zVuFc|rb@&bS~=}!h5)}?R&{keaQV^E)6X_~a7PN=Zf6aV+v%+#eedNMeDEgl@Ot^0 z{p^Q0pf;BDgnKjxWFL7K{F3d)E_`(}+|+B`GsUNLkFy^wNdD?xZ>*RHXVQMkLMjSVvp3MwmC1Bb@P#CpaXB)i`x6s zep+T``RzoJrn9u875h3GMn>^p3h1Go*S+%IZ4jZWI>|JNwYE0g5c}FeO1_Tgl9ZcC zk~EtZC*Slb<|jPOb)4H)Ux`=0g&l=?c=kfFo?{Hf0QZtq_VRw8BZ9VM@Sjv zDdy_02R7&ysm2UAX(?uG$@{>M^{xdseKEQ5f9UhAcb9n-!|Q+E5*Be@Y|GGZWzn{# z{%AtqD#Da@?R=|mKe3`FP5XLpYiL9*W%mIG&Ns%(`_G(~>kEvFF$N8~@}drXJ4G3d zF-C(RwlFGwUYBP{=~5iObl@6^rFVH&5l!@m$k@sK9c|F;4f*HhaLtXwstjAvkmFv$3#P?M2rSm znOh5Y(t6ZT&S)#QaTUADyCT^kD*fcy9~r>KB}WlOHwsq_y!T)*qqjGy<6VYq>frZZ zSeb87JcaoGzojt^80d__dZh3W*r;K{kap{uv!kcSqisiWpL|M6O1&x#yN1QY!7WMwSI5vwl%rJ0an^#US~AnD-Lnx^}MYxvHct8S5k;-ggqF>R&c zipkKixVB`~NL!cu5nqKd^~he_w5}E{U8;usVc|%{3Q>90F;#y#T8T?HsU7>Qa>9w@ zQ*6}m>F>=ECH5cZkbv8RFQsS{53-CX`vZ4Hpo<$WXA$NMT6e}i-iRIICxHBQ5cu>~ z`8T2#7?1H>Mb=%(&rRn`Ne~vA((2OYP45iqGp-mN8*77_Ex?QcEfW*aC)aIx0CMfV znVW9n+W0}jYab9q;{Nih{|hul4Gq3O1}Njm|F>=@vHpKab8Qd98=A|vIDq*k1Cx0^ zFIs+!hw`|cQh@oo?;AwA?*lUJ%=s3Gj?U4Eucu_#Er9sjX)Uk`Ba`cFmBZ@rIoH*^ z{6fL=RW1L|2N>6ePS??NgWu!P_2^ib388$1?vd1YYPl%}#3s7VZEE(mcp)wJ5e&tt zj6;PU{9*=Hd{+(q#98H?k|nBzWWN-9)NDWeUQ+9(qT?qoF|?OE*-164sOaS|$~7v& zO4|@YICN26^rq9)K1bLS@y3W_42AEcj5VD5X4&-jTrnODaqZ5Wi+^GEEhg7rOE1AS zUxroswoO5(gi)XK{?J8ZXyDt=bYNh9AN)C(!ZuL!4RoSH_~}fz!gw&5br|>tfi+s} z$+=+>=Kb5(Z=-rjy~v|p`jMeWb_aJ$1mnvEbk>mHy+e`bSro@Xc%)~z@zF=_R&UWS zv)$-<4IN(u14@rUt^yIghHJpZn_FHU4QvW=;0dyq6H`<6XM^19S9f-GT7Q9lY_NL| zofOivX~fPL4r={^=hVqfPj4}?9w$ZFpTG<`s9E0HO0gmNkDge+lf!C+g}b5L@M3F&Cfme#bC6@fUXvjXX>B`x{*Q&X*~J zRZC8bLO|>{(Y`c{N*^7^vnX^T68Wgfaj2Fu^l*3<2(@~SQ+mtOZ?FNF9h;LfLbHh; z`8v4!gP;n5g_2lh-8+*!6qE-V14b+h?bzLj-#cdSe=xsgvu&1;K*$em;UZO^eti-Y zTcLbku|a0YggyT`l9s>hPH?=M50bWi@{z(<8XXQe!I`E?bcey50PEomiQC3&@AFL3 z@R=rqZq)PJ)#i6#&A^lmFiNzo9#3E?WdCfs6&`6kvkDk5P$omKy%l~*f55WxbC^S; zC?1T3{s8VA$^_GcQZ>%qG$(TH-pX-7OLziBo5{ZUC@$vU+e8V^MkRi zpI~kZ%)a3+c;6j}l@C)8p<=#-n*jiG)YMU{5mRqu2qVUT&p8x%g!n5?Mp#da4Otq7 z{VUi{j6|l%NfrVH5h*UmG#N?32??uZ-cYOlJAY3~AcfG#sA`A%7g+#t*}@ z@G$W#yvZEdj~f*(b*6ki<_J5BV7lj5{iiH4u4`@rZ+y$$)>U-EG2E-UTkJLamscEm zD9$hvU%5}r#%y_NH;S?tQ5=}#`K!YWofKe68HAyrrUpv_g&n+=MPNt*c&|_%Jb+;ZI&LNQMDj`m z{n%9ixX%L&0${>9#Q0W`09D3f(FXuEgqznwmKqKN90410z z_j8%eFD&2Xat(l0V4UDZ)W-lYf>>s^{^9cezIJ55b9CpcO;_GnhQwSH5_ zhLn@b3^HCXeE2E1n0R60hN|`TAAW$rS60vfq0nxm3f!ORy%(TjQIaULQ0)h$k|5L>}+qH)c&r77z0b7#D^# zIUhPga=E5Zt9WjHHlbx}eK7u(Ec3Ia7_g*apV*u3-iBA@N0kmr)GfcCe^>mDW`W1< zRC^?_aQ(*&1_8RE5Gud6=YmOF$#6?_h97*7?36;Xb<0our@?();r!G;eVO(;{N4Ux z2`x@wGKiY!^5>}Oh$)A_a>I&4$UraN>3(2E@oW~ zp>D2tFx1>kTzvo<{*7Mhpcj>-g6^?nV~QL0yrZVExH_)BU>43@EA7RBplL?0JunQ| zfiwK(CK4nBJ^K5$FCiy9V1~@Q?STOY8JIa{661J2h%qIQ$Mk+6CRftS8FJuy8DQ{N zX?$qQpZRq#;s({8dK7n^d-D+H(T}x5QInxA&mC^bVJ)F-i=@KEORmc^QXAsTY0S5s zS({3mX287ki=~riugGV(em{)uBjamb6R!P@hh09tyEZ(18$B&Y@=ftGCYeT);Ike4 z#rc`x%L5w&2h!ZVj%O%@LgF8+NB0p0914k(=G2hEl_<`3v6FJVj_B-_9&;F9lbK4$ z(HoVw^e`)wO{bl`54#&IQ|+u>Gbm}D6b?w0?!w6{_unx;zIbiE)c^RLw4$O3I}p7) zTeeM8OXks&UWjx5i1cZ0IUnidaA~yNET<35UC49$S}-7_vDeIpce06TYY!>?DJX#A zDCm$=RIlLz7=44zLZ|QbM<+Y-Mc0jgLC_ zqC}xXavUpU_V-S!bg~xQ!Lb7ptbJhA{|58biMs=*7+0b!#rPqQXUK zsbt`_H>Q-8_QuL)R=$YHp>GBjUWxbZa2=ub^l)znzqorz>Olxg-BGSlaULdXQkW)G z!{O)=+_eVGFDzzp8&rf;j$zrro}6QGHh#oST@7gO-y%GheAjnf#1_9y!;-z>tCraG zMKRrfJ*y;8$=m(D7c)xuf%%TFrzhN8o_LguBXT|ZXa+|-M#phXK6RKi34V1-8r*&sDAYJuvqj~ z4(XteYxR-%at19FT29qnvNK!oO7-tgei6()Z~BNgxHS|e{#mI_bXHP^FGy``@0w75 zGQ7|T(?ubLE(XtH6trL_1B`%MR>jIj4@btFs*3NL+rYOH$_N{j_%i65s;ocDjUKb# zg=dl3J7vP0v!EHoJ0>P0oN+%UYoLOhe{g!NVZ=Z9@C=2mr^fBLPF`*iFVl92zZ)1; zF{$NH9vaHZqQJCkRBY^fF!c;I213mu^eTm4E_NrOP=0I682n!X>9qZ^Dq!AR?sX_~ z>h`7L;^AAKAEWw{q3TPsT!KZYPhk^xReu;qJ|Q+%>5o5CrJp(NlvL)gf{XwjescHs z`7tDP7x zA)SKVpT*LaU#JpVPdy2_88mw4l?klxde0Bop_3d(^EHv62)%mnV9`4q;y>DOX}%+_ zS#%}@?fCt5w=jv+iu-yvcTazcH#H7oaA=aN*3Yux?kFzYrXSZhoq5WNQATf$Dg)y2 zi>^{?5XSm`J^Y*r>>q_2ius{M;p{z55wEa;7-D6ba@+C#brK5FK9~qlXF;Ke8&DZs zsEbWQulQVYl{$R~+kqKoTRSMObVOn4y~RGYOe16x8WGh%ef{fELi43(Hr@`QNorV(n4po-NFs>#=B)EcG5t!Eu~jWqpj z;n?_DsIjZ_3XV~eyiL1*3aDhV>VeDUKjSMoSSoMqSjk_)GCn-}GnZQXT;GkaQA5Nn zKFRH};>XBu&i23bov^0|FIr~b77LxHeVu?``+pdFtDv~zZcjVGHMqOG2X_zdZowUb zI|&}#-D%vtkpMv(ch}$!!Gk5UdC!^o&dp4H7rCIQBGuiy_kXXop5L=P7mk!{Ubg8M z&Yey=RXn;zm1djh*MfoBW+cmhlVy1dZ`{GEkp}qjcuIHey^CcX829OvqD0dHt2!%J zH53?Srq+}l;O4&FE)*pG>m#+fd9-j4aa<9h(dsq}j-uSk?JEZ-D_;1z`w9jiTWzVfi^`)BxZ5b_oFRI~4FKg=>xNI55c} zYENY__I`>1kzDX63a1-Z`%cjSKW2U4ZQ-(X3&6xi6)}Gv)Y&mwC<5hlsQM43aJjKf z>ozvmXP{d&osM$JJbFj#Er z5*Ma9cSgINb9DXtZ=^ABmy?OLQ*TtcZ|7g!H|yT`bg%0hFKM~&M|@qSn`iR#`s}5` z@NdeBTX{I|3AApEZ)5dNOIgN8fYn6l+DXaKv)VWq(xh)!_8(fkkJf?{V8rOKxA{F{ z`<+@NBVAH^bI&f3w=TFm)c(NGOSWXf?AeS(Z>y;?RCxruC#BPh!ZS$cR~Sav+LTxr5D`nLZBm{Ph>+*G%acpYI%%0<_24{>1E z-^=eQU1&PTwOzGw%@s(x7A`aSB$YS$J(Cvm*xRoj+8H0@wGS-mK7wQJVrrO_6h2*^ z@Zi-s`VnP=qI~_{6VYWEu%ZXHbj3kh$*2k8Jv4|EkS&;*W|M3q=g>pL5s?JipaROP z{>iiB9!Op68@8Wa0<}3EwcqR(jde_mDA~pC*SHZx$Ue2L>54yWzERV+eV@o!aHfoF zoUAxfRRSMT8+?-dX5D%3>0Lq%Oba;GW&sz0Ie46=ATxJ0r)KSL4*j!QYpP{? zlORDZ>)PQ}LY)SN3z)jt3y3VD%N=~Oppktg!^HNdW?IKD;*ifJOCV?pW>**NT2uOA|%Wl$yC(*w3p9SZKXS-pmhT!uc+ERmD7K( zXZCw(w=A-DpoDn;S>GxBJh0yAZiV$>3gay>vjMLJJd{d*q?N2dz=}r3r=%NBwig=? zhw;4#f9)FB!BE$P`?w*Cs3VM40v4NHHg{~k#1#K_4b!clOlD6<`5ZYAqPxJssY&6K zi!G9ai?o{sram?9+qQa#J@^5lwMNA$9eg?6I)@Wvn;RAb3f5U_JGNcRgGM9ou zBYF8|Fa&!v1jE^bOYxwQ3uU88H9bU}kDnLehUS6LeAe@;W=qF!n8D(t+jSr22W^at zhlHy1L??E!UDhKZ=0HT{`R5}|aOK2=WqHcJMTUoetHs&s zbVwr_xV;`pty(Uji1in=4`$aUR&@+_0xMcy;o+|VK~>+73GU-M^|Y394IPW_>KpV4ID|sFI?*A|aDDx_nIBrSg-*nz{!~#()?jBx=Rw}e|L?TM}aW0nD znT>6hf0c$+`jocmkeh=1TPxwFQ7qlX_ zCv+ky^;W+M7m$y?z*ac8H1a`4pP=>`y8P@4>YUaulbAJddGWr=R14QB^_{rI;oJAl z4{G|wa`Du~3M{J64Nqpjsy19DAYv`Zbt3Q!AG86JqRma?q~r*%6C}8hw}y_Y>NjmB zn!+4qAyUY>r#Vk{;#8mgrdy=ckT@UV;aiI`m$V3aq=Vi*r37sOhb1-0>O0vrqaT57$*n=9NOmPL++m)z z3<{EUq~_z&lG7d*t30Ah1XE6PrmT)4K#hdBvb*A-oYz2*p)mz#zA~|mdUF;Ldscf% zMTm1Z*?9bCy@cOT{yFF z69B2UG7u<)#h~@e7z-F>?ePDGP7D<70`)!6!T$c{+T*TLGtl3f} z31NQ(td?`j#IX(6G-Fy~gVvfwbI&2GmDFM7_J zl>}_$1mrg@qmw`ApuYSXgI#_*hseMpy+Pl2XD5)rUS*|FZ`{R378?5;)J#Has z=kyrnigERcgetS;5AOqDd<{gMNhTR$TKIuv^wfLh4wc3dCuHER#~GXHz_==v_qY?g z;rBL&8RG5ktqZ(kV(mQR3L%;#bqWOLet2_uZ3XZG*1Oa4=N~{> zunzoKZP=b<^Kta8|5XdjW&vCys`vA+w_vP_$RqWX$TPF0rR5n=KLKG5Kzz^#v^?)Z z>r50GuYgING&!@fg;g#TV@4p`!$&ve`oKCCwxwT^s@%IMaFZXByJJI}9>Jc(CR-U@Tt` z_;3dSpA@33*^8|S5%A16AUeG;X{YLPI?F85MQwjgmlL{4B(??lptx3T~!BmgZ617ge;eY=*NE9FcOYd{?*X=lfH+4Vqbzf`*qh!Ut-SYqE& zf;RbYgN82SsW;?EZOY||@92JTd1>z_Nlbxu6k3ls=(Ac{7*wZex%7bz^~)#^Dc!q7)$-#twq6mOhG;0R@%2>4%LF8t`Gsv6h>~o_p?3sOi0ZVqKU8* zFva=0tT9zv>1*N3AT6d ztmr!^5KQ=7Y#GlBR{Rq~iX0lSr@4H%hU#yH}UFAvnK-<+NH?FUrN~PuM~Ze#)0_?Tz1w8{#1K?P2IV&s`ZNgxyf|ZDKf%%qXks~&;T9be zCC||n#5-??H5Xu%H|qN6LKvo)bIhdMX(Pg`ZGpmVo53+z{}?yw8>q7)-Y_kdE)=^S z)neG#M!EfVY2MMrU9G*wW=P~V^Z&45+ZgUEDhjn!@p6*;6Nr{=U{`R%j(V4RX7j=% zLHtr`$Q)e@F;gM;f6q6wfA9$H@dsp#(t*x|6tf%~$yN~HUX-843hSbYj*?sw!B%b9 z=g8z{?K$Xy-Q~6DUfO&wv90+!e{q zZzBxDW71EIcZkM%IG7q8d58cX$u~d;nf^BQa@gp=iRc#x97)-{&ZMouPk?tf?(LT_ zA>un%d~cr9MSTv6GNAH?6@GMNBwB(I< z@R_d0i;u9Zw0~l4A=kYlIHSc5_;bj!O4TfRai>vz8YG3{!YAv0QYa~vZ*68$_OyjN8sSQ&+?8pbX0w$)BSDB zaVyQ?hUir0)-e$hP_uWk7y2BBS>xW0ixGY$)@xqub&;*^kip;Ej?fAVJ1aTn^3O3D`Vp<)+wOz$To;_guJUc(5| zh4=M=ajTAP*#zs_%!dpKTwHN+gB70wnNr-3qsujQzu#$LMazC?@SqPd3e|tWoH2o0 zZP=GJpPpem1PKI*eG1bjqQp;|yL>QTRC$40IF6lLB`cdc6(>jZF$~h4>sw7h_hRWr zv0}nD6}yylC0dvSM-J{5GjxqdYrERAD>hJAzxX)*3d}zem7^x?ui~JL42(DmQFh0_E7J#W25`+>=?u&^+2-FwX6(EbOqDFc#H<2qNtx9k%FjibAcl^lmJLVU5Eh%H#$HapI|{!pib{RpLLG=P@8odl0s+&HP9b7P zFRVz!BW`(Dcw;ZzvP^pA{7}g{O%S8u)KIstK-@W9e+RndcI;=l>THd8+SKGY&)E&( z0T$c6v`s0yp+=5}%bV~Dr<-3_5hGmR7{O#JM=)77-~27VnWd7(b+HbGTeA?QC44mM znrilGG@hb7O nR7bIMVjh=oV=AD63d+l`?`?_4&i>|qj8}i~m9fzLy?{FIO`5vG z4{+M!HoaWpaE5O@c@0WbZP0}s$ACl)p2?W!(svJQ4S8#30=tjd`OS4ug%Ks!GR$_S zixz?b;(t#!1UyMDX)v)=M{s^%naELPI;fJF=JCULtPPA(-tdZDwU|*JqoAY6`gE2? zZ+LWtf}r3)L9clww?pR+syfNG=vGSi2-$QcYR;_vm$UVgv$Ek6?6nitzD}9ruOb?r zLc1Ck&wihfxr@{*KJo0Ceh3vW2^$|QXv(EE_$397H_tV$<_waqc;ypr(fPLtUYx zBOlw*q0gtLv|kd)0@*PQE;oJGno+h$b8uB~rev``#QB z;u?&xV~5%hLsLMubvBDi}HaApo~y>4v1ueX_@RL&C`p^6vc+#{BS*N%ec zDzW5jaDJUoXk4!U#8Y(_3>nB$ShdWDSE0+8wWdj%+m8pb1;ri(>nVnC0Kt`Fseg16 zHnbo}ipMvzThj5W$r&qMwi87u$jdg8(>P(#DikyJPt^Ch8k;4T{NN9YqK}T5>WRx8 z2_(r-LVs}-<~9waW0#q4x97%$)Ltu;+p)n_}(kI^y6m_ulVU~puI_A*#gNz zR&d6HRB$L6$~lSBrxn^iN-?9RHR$?J2o91hV8ypU%_^pwgY1Va;X~B^`dO2##d%^O zpi!$FYrVX#`eSqQKPy`$C3hyy-dgefh5Ped2oT025;NSYZGofv14T1@Yw=z;#*S#+ zK?5}wpsXpA4utl)?A1k!D6Tr%xn;rKMo9Bx337Yk@<8XBk!JO?po83rn&ZXnq1wtp zUP-&<%d>FlSxNe~VMcgWCv4S(a>p!PoSO;Te3#$Q%{eW497s$uNo{aw*1@S7{V<%; zZ#AQ#i6tP=xWW#Q9w8sG(|a(FwYa_(jd_Dwzb)N&L6j6&_n$O1cBXWLWB9?$6GhHJ zskMOP%8}MVUZw9wf3Rdsja6}QVI!D^+j^Yu{OVvHv~fItm!@XMq4trl?CI&(zyMDV zrA~kNrQ!-T74Yo9Z=o?mn^zHNH9rLdBcgGesh8~7qF+&4d(Z$O-Mxa4!T)sNY4Uq; z0!U#WKz04zdpitIx5WGKFGHI@_wFGnF{HEvrqZ*!gkXUfMZk&h+wHRc__$ zDgQ10GGMnGIHocX_EpayNBDUE#J7Gx_|(T^gRN;{Fru=E)`ggnHo?r#ha$Z*Iz%lu zrq5rhk@J0Xtm!7=>s3j*= zODe~I6wMDR$S&lhC4J|%=&gDM2?y)bV+IREs7mk0UF;_Cm?GVQWFww(Ao*g&q#<1E zODGeZVqo<|HpdFkcA?v{-&^P>`2*JxK+r7jWSldSUNnx>+c=JiB^ zq}=ZlRHZ)48cidkOfac-851FaypGSCMO4MTrVNs$Q?y%7Ilz^-S!{WFEgvrEo$TH1 zmUInqkLp|(H?D91btsKLCXN&c&5g%KbIEZdhPv~_Q2uZbWLonb| zY4W+T%F50L#^QeOIAnYQ!^~TZUJ?QzX>SJM+smOL8Q_GLQdgfaJC8$B4TT(e-eEhQ2`{lCDqk20L*y}=+A=%FMc5FkPD^wRB4aSRAAHNxCTR; zgyRtgeTf0W^(UQO1Ms(#aEIKe zd5BbFujCC`BT~#7ur;SR8l0S_QBeg4_eKFMA$(NPr+VVsnf1fR--iK?k~MiAcCh)3 z3cG)q4nYfXH+Pk)Q7+3jwV1i{SeH>%?eKr`PBz2Cc*XCJMAzXSiyPv>m7Pa7Q6zUL zgs`Xb>TQ*LI3=z*K3;GZDv*Qs3KX(JJieVw4RCRVQ9io(d}5_FL?Hn*HbW|vxm+uA z{@u@ArpAKnlZ94?(>F#rPJ46FoFfEf3ytN)9w$@yTwHYvwHJJB2);7SUaoP^ zk^>JwnzaGgW<)Ci3fxY}E5j7#|6l}4fiCCuwd735J1Sj0L`1(jSVFk8CsLJXN8x!kS%F+ zv62LkPPFn>m^?ip2sr5-%OZ|`DyEsvr~@eH3ZIK?*MCB|c&{Q?$ObhjP3--OE?HMO zt!v{aHR8E?LlO$1JHORZ{yK3?w$^DIzL#eq!ad|SS~)~{qNeX46f!dNKyprBmaBRA zQ|^l(#bYc(k#?G{wHeNb zC$JSZkdty=$;LAC8;sp`%@|g<_X;1+bvGasCpj(8!cC2I5B`3^7{DBLWOFEx5_;nW z=rK7Nru4py&?>836J%ek&mLnYQ%QHlmUAs8*&=d^`lE#PSZg1)$gTN@C!P?;_pg+@ z`PVjCPmy-tmatv@eZEZ2$%z@;-)UJg-o0OQCcDYFX$f%WV;sVSzh7{QYs^ko8?AXg2QK_ z5#ke^-}Dadq1>VH`oh-wErvbxA=lMcyJ1*?GO~#qgy1=1RjhgHxd_W^w`g$g>gESu zVqZ$r{^HxA1PQ6aLvOxJ!n(iJlNBDy1cRp{bPN1xd~bf1aClPhZvdu4fdJ*&p7Vy) z=A4dYxd5!1Q7w7UC*o9za5az=CEYPiI7!v{;gyd;;v8;Ta#EjktlMT#hk3rxc)QLEE zHP;ZQ4C1&4WyC9q+tr3l;fXzCSUN?gWq_EEQX6>zJO$?mo>y&%Ss6xo%|~T zOw2tR%@Z@}g&t&Gch8SsmSjId&O+zqY`E%*%}n{1*yQt9^anx1o;(-(T^oW&F?3k7 znJ)WA@^;3w{BoQf=A0dCLn0fIo64Rf{;5J<$aR++kUk%iLQ2q=TWbgG?ELb-8M(4{ zM=_a*Ck_MGjKfnZ@}E4v*5`Yj#7)oC4HdOE(Ym2Nwx)zy`WeL4_uQkdQp&JflC$Yb zss$QLOg%(+kh}o>2iPmz6HES#COq|=>`9M(0_LeE4p0t7XM0N+8Sz;W&*%Qi8guc& z*m-R8J~xHVvV5?;@~_|GX&l*>whFqL*~tl;x4i1$ukaB8R>9$l^oH@={O8pZ6_Wv% zii^IxZ|Zie{}>qGf`x7Y02Dxu5L)B{2z(1|h{FtJm{|+7M>$S4n^yIlSR)~@gwOuK zxJFsB4lhJMa*m9KO>fF${}}7!95Jd!e5>ZTXpUr{NCN{822g2P|3&@`m&w&-$+@%W zPY40O@z zB#Pz&UK@^8+!!Xm1Z`)gE)h{eX-v~zX>t7w`)E4v?ghAE15{hf;fH^bli#2+ji-bx zdG}W+P_Try)Z9orJKcq5{&0+3N#a|GGnSh-RL3i&Z^j9&2>g{+N$qW?NgA(8U9;?+d64EWmzZMN7@td*U0oDC{D@^V&{XPZ! z2oKeLW6N?AKw_4R>5uybf15Ut4Jx1>Jp4xW6~i8ErTNV+Tpxo=-8qau_n8~9h%y^vu6@>)4SeY8u2kAr%2z|7RN0j}dg9wTOZflFl z_Uz_AYAWBH6br$q>PRJ)?YhiwtWGFmpKlaQF(_QT8`&*|TX zzFUpY3UpIhx~Y}Dhn>|&d}(p42bRU;QzL}DdQPQ>n&58CKjfxHbP`egr0@&}-gY^s z91wt_5~G%PCnuF>O)k`8NEjQ?H3yCh{mf;%`A2NG^$QeLK)JX@XXRs`;)-jPHB*Is z`_#9)IF2e~MtuH7V`-lt3U;jCPA|t1kcm$!1z2M?tpTEfGzX0WXy>gzcVZCG#+ov? zC)-_IyrT(Kh-3%ewIrh;Nn6C~+JKTrLFy8vBtr3WMs8$iMaWe6;>rTt;;*P9i^}f{ zP18+#)x!AQXzIESUGPH5oEu!SHOAJO`}yBUAlyxYTavrKr6UEML6(pGmWxOWU$!7J zbn={E$H%WQ8;}9dp7ts$*`bdX@!XRny`IJ!U9nS!4MC|{2=1go85yb(Z(34}`I0!F z9?7m)ti=hE=w53JMwdr13G=(pO(8Y10!OaV0>{8J8NGZj;bmDxQ+m=kbz0eg>;lov z@`s1!gO<;DU0oZ+C8elrBWdJwjcXtCFOSD7W+p+J%myrjz{WkrwBB0J#O2S>XaxGH z{y#Zzzi#Krw!FtIUBd#xUDENg{&l5q#G+Fv^~OhRm0WAGE^RA-yLeNiC_hZcM`9<3 z5Ax%xEA7MwQHS_moCwDE18;AG1J`)=55TrwuitMQ{d0rWs_xmh5Twqml-B);`Q~Hf z!H2|*@`sr?soU1~?a9f)%EA|+7U{;lMYD5+2rVR`AcLP96pI&*o6t9lkuFWUDXjv@ zq$&wO0NeZ_a+6}k7MI1#Bn=XavvcBEJRQEUHFQU`^u5K}diVe_vGe3ia1e1g&n8Ef zQowf{qL-vay~5knQk9p@lb2ox}B8ls(XgTmvj_QIpyy5gfd7vJ6Z)3Q$<2~EF zyD9-vgO-pHAT@5z91Jsf5{NT~+grL`qF)T^8{VrCj#BMn_B@?rq* zt$Y5Z?RZ7NNyVuUA>bu*>BWj2yplDOQa-gSQ)8U2z&>=J*f@TZgaWOveug14hCP6w zHZvU>KveuMMnZONLo!w+355~Jq9TGB^Oz3QFOP@wa1Ru(rd%*r(Y~j`>p$e4yjZc3 zg4-pTSyh+L3p*T<-u#%=B|BRq!e$U&lRDk->Z<_yReH~_L=ZKP=l++6I04UjK&I!Y z>GDkDv+g+pQwJ)mczBF4|C|F>@yuc39^g!Okr*!BU4|SP-r0mI%bN*X?4>3deqlJ8 z+~93^8-P{Wl{LsZSQIAoN4-$jvZ+8gja`e?p;yKzJl?x&M{-92K9zhHG|u!7_Hx36 zZaiScWLx1aMe}MUthXXs5r?yz-kvRy|LPVgK*nu-?S?LjNpFgPJ9nsVI(VDQ7kHk?Z;Jk zf_7m-(=Ubiml^Gv4#IwfT)sV6i2Zn}XIVhZDhtah+wV!z5 zGy7=rB`;uih%3~dqRma3VjVk}TxgdxI=7O%ydiiHyPhBECh#5_SEygbtvB>Yn*W5{ z_$fkHp0z^NA-+1(0`-?(@x<}rf+Pv?snEiLlU!UX5#wwF5#9E9)!h!Gzdk`T8D_RO zpK{bTg85OvESVFlFu3NfPU$xQ+mC9HaB0tq(tBw=xCX=nlU|d z{+5ENPbJgwWTX+7pZfujzkOB-U@NrA`E)kFuAXMQGZdxBS$YGfWF8#MG(gJ)Ix+{iBVmXdkQm!_QEJ(9JiX1Zz zBU9W5=r88wk>2{g?rCRPWdL-!sNX3*$s~EEHp$qvLyEPYZjNJS{RcZ>EydR!zu^8F zw;S}MPd)jBGuGxdp7LhR#&p2$z zLPhs7lt9|k-kz&RP&EwQeGbG_U~$Dbt1*X__NuG|SeajlIzVuLQ&Pris?M>?;k^`Yx^27GyZV~U()%B@blKC6g;~d zL-i{}j(>R0X9y^|jh7qneAWW7`Nvk=_ebS~^UH>OzAILF&bp1UdCfPKsZIV>g|0%@ z7z!M6=gH_1M~Su-e0RZf67Sy^_Zo3biRdQJnq9jKyndCQt)B-qWV>;;2^GyLmU``t zd|@hVlhkZJw?bhI98sHoBCGwi{d6|5s}=6VW{*44)vVcH7Z1{oV_JZ7&RNInx+&dr z4o};ZJ9}9-tvBoOp5qP|<~;=_#l_9c=E@Y4Gg(&Ds5wx8%#jNlF}radkt=*h2o@s; z9?Jv;>$YLV$uY5j%o$+%v~VSG{aLOx>C2pE$V$h{>!los9|m%X^XTx||4bAsEW#|n z4dj?+-LZ6VMi=^kq zbdfUl^M`yjDZ2v7aX@)&xQHktY$(-LQ{@9wM5)!yF}uYL^a6cuP2`$kA@*2oNs7cm zKHss)wv1@S8o_NSw9n?1SdPl}Wx| zh}vf5#jh4&_+dnk4mOHb%a?u-A{e}gqGY7 zTP`^F%?%18O3_>nadona=nh+G3vB&6Q;~O}5YvvS_+|M3p%1Q$%uS1YFCAQ=M7ncc^E7|KOw~qTi%W4EyT4ko}e%3NW+jW8VH9 z?sMNSWBgK%`&BVW4Ofcbrs)&imw&10vunzda~kAHmMm%OEouxDOdaa zt$9)jz%}*2*OQ-T$1uP+x=a<$}rFOwb;My9~2TWL~_Py2ZYE zlZ&mBkzYJuq5Z*tdLL?oVnQ#k6hY+Z_fIhkVDQR96ltjd!^Zr)CS_u#VX{yUu;A-# zwIv!@COT=yvRzaMs7v$!v8amx3)Bx?odkZ^}8T$P@5OP|H2O7H|bf3`{l1`n^& z%z-@jcxP1OB<+iAoQs|*N4O8aS@;+;$M}KV%@O+_a?L5b06I%K7tI#u?^WfQ3bOMI zAHqQZuRifi=Zh%4BjsK}tXWqOEW^nixOmiOA<%(XmV&9wh+pXC=KMVuvfeB}SsrVz zN9rFTp-1G|p1dAhvTU#kH+9r#9rHeW&H%m!UMwBv3W3Ur1b5C!T`SQ&9~7FdaeZ6rGyQ~3vEz| zF7ZH`faz1|w0JmJCZ+{Om1qzqxwy~P@;shS5I6ez+CZ>vU*mLGg`lf-zxqTt+T5|# zf%Mq%S3lUq?2bEM+%li{L}boVF&pCRa`%wn#Fbd$9_^AAVj}*w5{E&pBr&&TuL=otZ9J z>CkMxB%8bVgGcwDmO0$l%ksuuySe5IFcUVBS5BEd$O1M_Md=><5I0$VXpy9IC_n^4 za+v4YAs{#$15VstW*bU?wqYp(@i}iaYrFMt<9}UU8ecqNeStQg_%F~h1&JTlz0U2fqD7 z4*ZZ{^6B}*!!OzPy4Ujna{=qw??ZAUoHtQg1?I)x|56oQDza4p1OK)e3yaPZ(2om! z2=FkY^^_Xtl(8rH!^!Yz96vchIB#RJa+7N~W_3MHv`D?r;jedY^8~cAjVMAK?G6<2 zS!B~jqI?8%Y@1=MT-6@XO*d4tAbSiyKyd(EU+e^`|_W>W76>qzPdl%k1!ehFMd@DHupjg!K2%i|6 zL)jzPLwL{OAdYW%eE0a>YXR%BT>AGj!XGO4C+xO*^6~-efl8f3yV-)w0+%#$gl4`M zz{`jrBNbr?O5tJ~6my!T=Qju@Z_RvgmtdCo$oeaa{wQ??p^BNxLhw~2ip*ct4vNyn zWoGuWta2fYiCmdhKh+TBR)xcOx+MxS+sSUZ0}}!4P@4IG=V4^#r~J(!I}Rupn4cnh z)(xHp*;vcIVm9srE_nm>!e#8jCL~~G&ocisk0-w_ZQM;x(pmewUwFpsE9un1(_W~f z2+2^R&!Ci?)EgIQZlWaYcTYC3>j`CK!QiK>mNj*vpk25a*T5)R;MGGLfhM{cTebZT zi9!)$gIPtsY-iTPVn24y$yl%>jU4hTCoq@33Au84~jJ6 zw|~Xn#VlNA%yZq#0p2;X^P(lH(Z&BGd^V4OjVXEfYb_n&gWUxyE`|{H9UclHP}HR- zKaLe1m8I*?hH*+Exosl4o<6}y6uuNC-%$I-C+1jVFWvxUcnKk>TeHOqIRzz2`D zdf9U-0l?aO595-AL}%WFdinF49HWcaiZu0vCj(me+ zVi$f#RbiEW&h+Uf?wFn>E40RHSlI*i8@V5Gy!xYZVI(_35Xh*A^OJ>4jQQHrrPH;~ z&?`$QLB#A28Zi)U@;-<1#=AFy8}dIfl};&%gnasGWBc~sj&ePyS{GPZLxu>r#ZmpT^+m}h7P(Fb9eL!}fbD)7Z$yoH6VG}v3 zV=%WLY znXv@tXo$FncR9buvv2{G<0bz%q|yroyx(bX9i?A;yA*q=(D%jK8A_HNpdNTAnnf?AlbX|*G={kCKD^Wj5X`t zL&d9l!P5t5>EtE{06K4+|MqfQn$dr2k~W;Udx)lZx4|vBKo+bP1h(&3Hd+$IZptv7 zag~&Qzpuwcfl2ID9UI9&B40;l(CU$+bp%6j8klZnQK*&{U*)Bl5Nmp)IXfPPbs{X- zh}F4eK4D)%P>N^*iH{tj*M6n%R(2qreMwwa-3@_A9k#r1B^VAvVgp{TK*=A`Vz>cA zWmccXg>iB`%ln8xO<)RJTY((0_Og81?;vu|rvfQgqYUkrBFWP*MS)(xr!+^i+)TH^Iu>%S{zo2vUpfL#8%7KA}h zC|@U|F5lW!`*MhLBuX_j+1=EuI3!FPAP4^}EQRxQulhp6GLVoIhBBCd2&~ zh7>{e&jy5BbD>?2Uo>B_3MW}xS*;^W^JbvuS(IO2R`!mA(pG_CgjKN0{Cui2{`csn z{&l09Zbmi_!%9Qj&qTDXBAQ}Aj)-GHr&Mp}8b0w)zbiW4uR{%&`KK{^dpLIQzx=L$ zadD@k7yegMU8!z3s^tf?LP8cZfklu;67CQwj?d(7eS6&J~ zU$|X#AD+E#lyGj5_$4cfm-a47BsXCs8~?nV-EDRt8CPL5ltN+Qs1lTK+QpE1{{igd z4U{youUQ*{T48@;aLaMj_bmTh!&22jNZO28t3B~rJgLx7=iL;Z;l!OeK(T^6g#kLQ z7*TS|&%4vE%}-&*{YL88c|`n>FPc+9yAWF&+qLeQZ(vzk1Y>;Andq0)x^u*~MY8>> z$~1TqA=EJJq#{nAZO0*GCrlQ!f(K9S{H>)J!NgDODQ--WI5-4c_DG^ zwExwB!N{XSwOc-j$)-~LIGIBdvKh5zF{H{md${OUKN+LNU_v9^ieVvbuRa(i(YKT9i>Pa zLAqs#b-UrLG17HaLFG6t^<+u)=lai_dKfS^U$T!Y-5h*+ng%Ji_-+`hf(Z;_N$R$O zY`Ax?R_ogx%W0vbR@&}m(Q#rbq+^aP#Vmb&(oCMxx1Pukz3KP@U-;f`bDaSMWCcjG zVVrC+;g40xT*cRx>)KR3Uv!8b?j9R51HCtHXWRZ=@1Yc?h&eG1^>mE2*SJ(wjw*f} z)99z@7Q`;nOpCNuc-h%FCw8pcXv{b;YG|KeC=kd@>7X_rxCN#lY+5{CA;7ldN9M$Mr(;7q2Ce<#Yv*!T*Sq&Oe8M ze#N$#_`OP--MF|X{oF&2Z}2TZ3m98;EL?hCrQ}Y-_u6<>JBw4g0F#R;308K74UU-N znmk+kBiA*WFf?TeL~mbw9sBuH5@C(_VP%9O_>nxA=F{4FzD0c<{Ik_fXJ2e5j#)Cb zjPYJ>gHOUxz2D)A*Ai88E4Qrd~{?VgQA*u}R-b2N|g0>7u)`a=h*UKP$REhaU89 za25&NyfD3w>=4-FA@c>S`q3{lH+w%8heR3&MIx>njw;0Qj?a)sDjH|TOuShiof%iE zO6xgyA=rWaw`?8U?1YYSz3P|t9n6#?n7NUW4gG7z zABUhgVBuWm)^pd^?tFzts02kfuq^#LQpJC#^4|^J*K4|$&C6HPLe=j=TzT zIQLWM>#6$rm88VPa*1qFK_rY`OyjXcF`6y7%{BDaY<~1zEGtZ{lv!StNTtKfh;6tW z3pkZ!YK!C8CcdLJZK&UO!wa!iGbNrF4sv!r!E_`;9y5*BJXWQIJ3o(Ya=9w^mG^rg zXCkie<9N+7`Fx7f#0khxXgQ|t=BnI=goEy~8xb3RMMY4WsI9Nwbu5(=ScwZ15eRb; zk7tv4fSf2PUCre^G`y4JL7hu+Wc6>2z%W{oI-(S zV`h6A<7StpC{Wu8r8MN?+RkbzqotnI4{pi5VC*6immK`$HW3NKRUu#ofhQ{Eu2 zcOzeOUh=ilIQEHeZ!L_$GFn38#|78hR07w7lv4zINREysx7x*09eU##NJn z?aXgcgt{JT+hTN0P2lm=&}o=Q)W@s75Nx!r)mPTFMz?j#z<4))z7)^%SFcWUdM<&d z5FnuXagoPEhQnN-_4NOQ$Ze?oA4L_+mjm8x?sBlZ7Vu`*QXSOt*5PbfR*0mFtY*t3 zBnu{88jB!f7t6Fclr6`7Ltu7+-H+ZdLs1bhQ^F>NAvOj!ucjBgLBpJ-c#g?PhI~mO zD+wrq4!^O4tjLgFMu?`gbP03iWlkrq1-p{b#6n&rSb!iNCXFd%gAuny;{N*vX}j|{ z!nMjDSK#-b8RfClvt)}h8P$qfXu+*ZQc^v*;C<#U;Qe-{_DTapZv+6aOa(O@~40Lr#$@d!;FlK(9*KA zBg0~`Nb!oio>WSETPc^zA2j*c0WR69n$3!3nTyM5Cc;_dN?}KPtp!POkuS;A*o@R# zbw6}=-)!8avXk-YIE@~2)p3WC1%?)r#4Ace0;!Tf*X^?*s|tm( z4YNt2u`Y>Jj&I1l(fvN$R?8W2KPPiN^qA+dnPW)l2#h@qb{}fsAUNtbeB8O`Uop66eeu#&HrJJD_iEgIwat8WEJ;x8wMaoF$Q$@L2WK)_Aw?s}?VUyA2^1MRm7>yA8@E2%dwL zk*&GA0-R1Za4urvkUdX(ofEfUgUCGO3#bi;!0x9gDO?PtHuSY~#ZKCc0X|x5u8ezo z+$|kF6w?Qh@=?rs0k@-W!~4D2xSbv^cjUsTRxf3X7j`ngZGH~5x)E|=6pI&mlh1Fq zwiL@wCa!Z`+tSY~HjieC{Qb!(&Q69A3k5t{6qKvH9gUyb=p`KX0%!nf5w8-4qS-|Sm zA({+`HMP)oD?)8EC0XTSD0S8Sc9!BaT|7&nSi)nqP}|syq$rvU-Zl8ES7-Rgw-!lN zw2JjQfzCQN)6rhyii%Ur^HEQpPe{wKa1qiOl>U!v3Njm@4HNN&3p=yb7Iss#TQ@XOJDj@)tux1>;L+{_%HwE zzpVTHSHAKUtk(BWLy7k?WCemb2MAbQ#iRVNKuJr~{W##jJyJF;7`4W6&EgY$1zxqhT(^ zFiL5P)*7<*M)YC{E34?lG8l9uG4hVu!Ub9>7|qBABb{!6eKla#U%fVU*-Ja}^R4FR z8_V#*vOv15oj!;_yItWEt>Cr7(+e<_hE4~3B#@;c@eVcFF~o|WXH4}hd5)4b2iAS} zT^_p)^HFb9A@Wz`jN&4L7-U4VdtD3DYf+LEPKYrZDy%sAT*aoer8;kH#zBipT?KQpqzAD@^a zSWznx1sDi8_^pS!>8ansS939hk#8XcPiwp20RBBF{hz!ly(Sim5eNi6D98hdMx)5G zjNgBC&X?csXL)&f?dJy{e2~+pPm|4NX=-ZXo8SB2ey6-cYOqfh2{`imom_PpG zKSr*+jT#Jwo6-jPhaCok0i90IbTrF_V6xI8Q^0LAv9HOsaaWul5-5s#UE{vwYpFt+ z^NUGlW7-0)*X!u;+SuFZ+A=42BW{xozOO52sPH$bGf1Wy#7N5D4JRFS6gTM2jtmuo42PYn{!vHSQ|hSHa+d zj=P~@KZMR|{+e2V^di)5&b=F4HNOiILb;4bC^O(O5-=4|mlKqxFBhnl(;3{S-XRkV zAxIKMNhX{slBhJfaRVN!fjXxdqauR#UZ%~}Yj$&GSz#oUVj`TOB;1qzjZ}6%a5Pb@-ho zTowZY*WsIjfM_vS0^7?4YogVPY%q{=I`BOBAV#NC3w({&mjbes$nn%rhzmg(fjg+P zFL9@Jo`dxUoaRMXczRP`yL`W|&(B{O5A*xajx!U@T^cgoK0CkpP#=fewt4d7s)yTu z8Inty8cFCJL`Km?|8MQO2R;Q3{|%4PcD(YftgP@GzwsM9|NQfW!(p!7c)k=+{vdJf zLr+!JtA6+N(@*c{`#$%%&+)m>eQr(4?E~x_stWU~IYySVYr%rmsAF%Viw>{thqkMo zs;Vrk<~g^RxUO;MN)ls>X{I8Xwd1&tzd`%F* z+okO$MaQ)TxtNBTmn)tA4uQJ`MNxQbCeHUSEU$I@vYT|=*YD?^E-(5mw2C(zx7W^K zQzK5}L9G$R^3V>sySb<9cJ!r$7ThQ1wcW+olvecT?O)@*USHcSHXrxxIE{B!9rwG& zZ3}GfYweA6czX~F@r`XB*ars7%^A1Z3GMf2`IuF>w*ysC)>;T(tc34prCRQ?B45cZQ zwfMrQ7wPsn*%NT0Q;M35Ss|%4387)X&9){Iv@b-eM z2^E!8UegP{v_o#t3HTi5wQ*ndwR+t;HHOPOy0*2SFa2&a#gTHkOnG(|eSJN;>kRs$ znF3D^Epv7uvF2-i4K5zt-$$dm@!u{_&6B z&&c;xxAm_EKxNVA6{WG&&}ALEPPI>}&PFFu!+-`?Ohv%krW$F}v3!C!p$ z1g{36r@5ZiTHB7ecQbBTk@?-{US?<^L3^E@Mz;l{PNd6kr?u9GZj0T%#ncMJORJO$ zUi?-qk8Hc+mKB*VJpCds4$p9;rx>z~a&ZPhME1)c;9p8``UL z-(Wm@Zi>fV9i_gZiJpLGN8>Il63+(5h{`rRZ9O>sO*`T~vpmFwl|?LSE8Wih0Mt26 z^!Xh)uWflO%dk2Hk#SJ87mxYS49~6P@pt|>wVplI=h!tiA6=Q_jcA#;YXE&sYjti# z!Wf;x7#Ty5%gCz2bZmr#$%eP+w6y zShkU>^WAex1QU5o1|4R-4!usG!)s@-$+cdyx0KcFT})s8S(U*zps6)fgHqOly!fov zWC94KN-U^8)VdCg-bO^LmBxk|8vGvgwo348vtE_rAQ-fOdAHA!-Si6h?QcKN6Xzm$ z>;g?S+MEh_bllo$BjCE$*JNz*Iqb1%1Vy4Gm-*)OX%x+so(_MW`6bFEH&0@22*|NEKqyg3m;QUyZM z82{>6A0IoiXWQJ@JMNKCl0SNGgjbedLQz%bat7`-*Kx4LLtGJvN2-55QB3g6g&?V% zK&`o!PxRf#z1{8G9=FE*3X&p|U0CK`>-M;dWrb%)r#T&a9z~ZXv}j~JU5DGc4f!@z zK}yMl7ks2s_aLK3Ek#j{PjbhxqZsv3hGUz5T$16;Y@V0jmMN8WxRxeqIh^O?cie@~ zy@}?oPG9L%*30<$xB1%hZ(v+qqLn4`xe1!;KE!7~`T*9=+R)nTp!Xq4tBXv&`WUCr zjw6+IsKZ~wWO#_X@49bu?i++mLE=wen&NA(o~JA;I95h!(AV>cyN+yY+^f^47=QZ- z&c~iZugFYAYsfY4LARM!@HJR1ta3IuMoB4Q678T*aG;?Lo!P)d8aCYa1aQ|uDoAwU z49emVUbT!ky+F&6f5*`Sk8D22uCe*qu@kHcS#pWjDd-=fqorv}Zqehz6<@%*@D}I8 z=MWWz+2C84dp?TO-Gx{vAr{J&ze|Y4Ykp3rC`M+HW3!lK3HgOFtbv2rnvQNL>2)n4 znF8-jMOcjGP=ItU&!JW?Jq>kRzIc`-g;R5@gcrtfC@BbEMAS9Y*4l>6wDk+v{A!jL zN5iaEPDF~5g3o8-c%OgspxS8D(n*SGZ8vyz8p?UCYhLS}mvf4*kRrR3#-OD(+>5A_ zNll+*?ED*?cj!=cAn8}xf9L>rJouSyuBl;8zw!jG>sV8FgK)CIzxm23-dR`$RU}g? zAsJ`b*O|s(mpK!MGn?qY>+~{?=rZQH2_Q)qGE3P-Mno@yQ)DU%M5~a?66s=sXlwvg z0o62x6BEC7?0!CbwC%~U;gD^zHZJB(kga_ z)oh7#iwQ!B0sdJccTaEA8z*v$MCc+s;f+;3e(kw`I+~v+8mXZ`^--i5* z_Hg$0vi_BMqj9SoXm(@N>$V*CwcG*%HAe8+jdc4QTLy?zkql1^1(}KDSWJ~EVWh{F zMpR|2p*JwhtY}AMmi0woyB+tH+@WL%wd|qJVM0+=9C|-3j;#wc01D*-E=LNFu@kdx znVzQNj>dh7+o6-uE9Nb^OOnjlg#_o9lFTJaDCp5EwJ4M@s5NxD)>lAZiBwKtE^H>1 zHIh@~lmwAh-7GrF+?G7co#*C>4t$hS?Rwo{Sy5S9m6?mk1S2sdF+-iDgo!Lo#q;>) z5>VQX&F!Sr28?QoL&gPsMA)A>fpy-rjr$GRTmY}WKt^$JL_bMO@g%;vTvhJfpiq){ zVKl-k6A>#Z*I9Nw>HO;gc41Z>B1wKkgRUZl1xc;Vs};7XugEu z(l9!`f>ZUPiWwR_B7L=O+Z%+lm2y7LXk?tOyoiSgt;6{ts5os_ zny=-SB!of<@{)BMAAjdstt=!z$VDJr6{&UNz>c4dN<6a4kfjt{6w~VMH+*MfQr*>*fcN}j7BY$ z!D>OYbRcAF5ho*vLJ^S?V!IBZ!H(E=7@=YBhT6Mp>v_Yc(1r6@N@u7OGjs?exToha zyt)K~pVl<9HyHPoYwDup<<1?fsk=cUTi{DCOmSi?LNJ*JMMTtV=_|EX2S*yK@0!Q5 zMMjrXtmYl~49g4_+md|t=)bxFBisUw z2ep@<@z-wX*X}qt{)0dG1Agnbev3c-(?6xHt?hpa1;l0rM2@VTQ~d4E%Cw5@%E6+ml#*>t;it5`K1)Ol6H?9JQj*lHzRTfow_h~=ZaR%JpTr) zT+j**YCAy?HXXMp3Zx4XwKn6X_*3{sMv4 z-fdmanUyo7$|(|s1a5O154JtXLI1&RkEcyAvbs9SL}ZRb7CR1GeRZ2JCdp^>=n8q< zq8U%AfzD(cbawn<7p`2qlH04LHmFs!hco47lF}SvDT_f6v0J>DF+eU2Rzsx#ZR0h= zjgDeALPW~rR#c37yOx?08P$%XYrDYHuGzd$W@0%_w6eh=2oP}FKoBWPCR}0xx2d4z z_7;*_a9-h76qUKvEHlw8rHXc;)1qfpaWP*o(`c5kTFM}owKm?_2-xev>H!2InF8nL zlSDHWwJ1@qB)m03$c-E4P(%?D2T6$}P@jvq+MJ z)oNXr53{7>wb$ARCiASMiuj!-nq20~g;*8IpMu`WMX`&~f@i~V zFUE71Kku>bhTdYup134j$dtK)`L`o!M2!S2FbY?Hut7TCqfY zPUA*o&e+LNxsi;d+wr(#s*|S@&758}Zq2>j3gilcnIPd@7@yTggMEEY+E(L!V=Bz! z&%e&6?!TSeIf}G{L^cZhoov0KEC95V@$?Tosw~-osG+C&}ns>ui1|ILAbEg>J8(!woGvw)yGv z=b2p$($>_#q0Yvu@3$bbY-r|mxs{}3SjW9IbCK6xc#1pjdxYlpzIEJK+*%hh&(1d( zwzB!z#l&S_X>qUP&g$I^3%$$~?HkUq(A*fw@B%Jh^R@%yOE|M~hRMVvUGA! zJM${9yzmX~I`jaImPVBMGbqt{lwujBC=r(&%w_GA@@2$g0iy_YPBR{hflMk!F`L3< zbK-FATx&R!UZR+bVY1d@x70v-8S)A39|ZxdwOX*LTc4krP6x^6W7sUUIPCRW@zm3sp7iq7v z(c-ZZOy;;ay+D6QGtG4_L?w+-j3DY&M6;2&-of`0eokj>l=MbQdJ~;3UVi4@Ub^d@ zd~Z0!xrGG#o83G-Sp8&Y9TM}}wL0p-*|c+CyYLFhr7>KMy#yMX;r!zeuFP*iB<3FE zZQH%X(bnsotf^bgv1&QTk|gmLug>zVGr_fIiPfaz(R~4a>CO(mab}Ts=HeV__3+cT zx2^l`t=6?~zy5U=md?=JcyQZ+@g;oq^p`mkeusm;BmBgn>p#7}9>mT)jrYJqKUkgP zzx~_4-S!v$+|T{ot}f`kgb#w_t5GP+TnHwaSjkY4c%;!|VSkegxAk%!*=~vnZWb2f zIffRKYgPSbgUCRGi!PtNdcm43Q4C!mIQkaRL<&WPqOk@;>tXtP`mP%HZn!tISt3{B z$>9*EX5(u%@ABFB=>7&;Yq!V~%|=-qJH^m^j6_M3MlyQ>4D|1zD^RoLxRVR#dHJ2Q zT!=`>DoA=8{^kxIzIE@`+`Ghf$Gw@|-kDwH`xlmprnLaTY7{xvR3 zS<(Xg$*PAi5gYMopWM6lI?-M4j4u_94e8D~DYLb#|$1r*VU&0R-VYZGqE7B(;ESP3mM zn<|nP43rHfBzrBLeZ3s$Yr$yO3f2^Zp65=UAH@orL-+O5jS7Ieq;M_uD?WoY86X*{(>8*EctGHrxIm2kE2E}$C zZe^U7@-%zg5)SDUECiwPuvUC?gSj&WiKj1wcw>5%az%8#rN+Xe`y1%-ukV7jF}Fmt z+z*~4hSWU$=2d!~lNiGDAPj(iV8flJ%iIEzG>Fx_LYHot<4rl*oFfp8gK6_|?*^HI zq^W+)T;I6QFC}?uIJDNt!l)Oxv&+ke_xLw2Si6FI*EUbL5$*bq;Jk=o;Z^#TaeDJZ z7+!n=x<3R*ei5$e-?@xF{4|Jr!MA6_`weKtLiK}M zPUOmY?f5qvg^6dt5vc0tyRrF|b4;?`0&)<4d6E6@7+yIF3v*SuuZ1ehDEUGaHHJJ& z_L59l4tCm}_X=c+5-TZ%oKla$?7&tG{ zDGQku$VIgPc@yrEq%al9vKX&HF}g6QtJEl~w3%aggfL<%j8JncqQ7H9DYEfInWv|d zEYzzQ0e4fOw|F-@ZP>$;l$J+>cuyVUH=y zBkd&y>SiHZgv`xZTXySfE2#qK!Y-mUKZi#*Lfgu-)C)1%lp%Cy#vyqOdOrfjO}gps zVvc?5%p!mH`W)eu7E~K_0(bX#`FHns)7WfX`^dfkz4h;%lil|kb}Z$l)9DC> zLil`FA7RE~F?>GX4^=?`_KcNm|W%6$r!~- zhc&;`#7Fi8*td-xm8#sCpe8Ssuaqq7%@EiRb-f_!D3m0gxwx`1x8JnoxOao9+*QVX z$!i1E0cktBrpRPVX%lR$2Cs)!uF&w%sn{RiHsfvs$$*5)@imL|&QzcI~ zdpX#x1iwlyhgv9B<=qWrMP_nhg2vVkqM0)3qIRS$3Q%h|;k6slmnwm3Ij?<4XQ&jQ z)o$5+ZPzFyH{=#-8WC+aWTT1USc&tiW%8ndveAso`t^AhSG9Ypuh{(aAL=2nMYqr0u50f% z+~}R-9S6svD6+h~ye>En27`2Vc9PHMcYRUs75u0M$Ip+=^3``Hsdrjv^k@^%VK&eo zaBQpnZe-yto;iD(Pe1f8X?5=`Z}H;t3hyi|(_inTxn`3$@J*ng@YwU;<77}I;BBSX zUxz3_o7YTly>-hLxS`B4=R;A_884z;*>WUzr6 zd-aFYtCJD_{FP}$1e}#)|j>osBH<`q(tx z_x%jbof{V+uA!9Gw1(p|Yxn!>lasuf(jyxBaXGsX1sH5_abLe5_qCe6*Wld37_SUp z#BS)J-BycO$m0|wdYpRd49XQdyE)W!0wp|ynvQ^~q5_k#Rl>59fZvDDyR$Vpk_eNE z&ExX*(pIy>{8eCaHOraFMf`QOSd0b)v>>a_VY=odNY#SG^zz#Ac_x=8RVbtLcVctz zEazBNRbu%V1v!t$T!Y=@1dAD=(p~M+-&o8DW)pfTjy^SmPADRn^n8Cd#djAylx+b# zm2ubD3>@pL;ovoMOvpsgk9`l_@^HoGDsRQJyp(SuY&?MI>e23ZlY{&Fy|`_LD=$>b z^Ig8Yw!FEL;Lk>!lr0^Y4O*~SV>j}tLk&E-@0xU-4g5T^G|7UljlkeNJI*nmi)Q)$ zg=GZ5UU^yD?s^XJ?8q|DrrK~fcF@)k*nEyD3e3C&V^6K+Vy6m8@@J>}j;}f85hVtGD_y_|)P&-#!(iShnCcY4>+0>)QJj?^)xQyfMAX|9bUV zqNO>!b`$sZ)@{2fK`N*4y|*KDE}TaImJA+Ty{#M_sAW6Nz7oX*&yFmS%!<^SYk8pK z7{|KWX{+6$?QlN9%ET#t@5BP%4I5BY9ZqA0yZ6B10oT^tDh!1}eD~Zug^~`l=;rpo zoqYC|e(vn7-LmcQ`K1K^@hh*eDnEye4znQ9+uFeK!FEiBDxXzU$gD6lb)IJz6=d0n zMKN)x?kJzW`#5)Yd8>2h6J%yj^UUcH{(5Y;qkNMoDBw1 zWdnk0qQ%z0y#s!_>kV6OvK7k;FODzq#?&g3TE?jh@JQcLe&w!%_?^{{85Kq0uU?(y zi_eZzlw`~X9d~tk`KjAlw`KE8QQ})?miUJ^<|xSuEj3m?b*Pd1`uy0dwOf`-aQg4y z?Z4!iWeY2+2U*au+Wa85-22gO*__}RBGc!1ZZwK26~Wy?`=R?8?CYt{tthC`ac1BA zF6YO-K}bj;8621gKZc{Bck8)b%9D%C@b=hQ&ImyiLBUjZ(d0V9@xgsK4Pr%Ww|s^E zZc+QYSVGK~35Fxg&4$ny6-EyaM6tS}l%F|?QeC7qGgKtHnU>f>|8s7EmyQA|b@vjNp?)P6P_iIL%@$eU#J5`o$_ z1{)6Hvbd{Xw5niBEc4nsNxrwxj)Wewkf*gi&HjB}x&y|lbIg#5;h2A$#MC&WnE-lK zWmRV)*VxH{Lwj&qtFJ9;Cd|;-0^hi}hq7WqFUs`#YWS(!2KceVjp#OzQd>hlL4NKX z=1x6>clt4OicG@Mh4qpDj=%4=>f`3}v*iDMdW_X<5wF9{BZKwa+w0r*dj6#olQ_bs zP!LGzJnX&g!+h-iW7X%FEWzY+aOUqhyZAa2q6`MJCjS;VxUD%B4bAd*!$~3~6M`tA zmTIXp*YcS=95i{WuS=>5L-Sd_^}2~-$$;4icXl@L*;~4~t843Z?fs5-CFdC6i(mXA zpgG=`zx?H^oZDzL($?0-m%sewU0=|90Y8d4$8XKVc>2N$r)F1?Bt2$}15t%Kn}^Pt z?dN}GQXy9LMqHvDQ(}(t&{v`J0WH_cuyN3`u&NcT4KF6h7DW8c8p^VQB3W@6s}~An z3Noi=3QUJ35@}db-Lx8)=@b^}N{8vr9wc4UhO)&GS3DobWJ%(u1B)%pzV=IBfW^f&=2PJefAHKmXBQHr(nYYi@Cykfboj&P@vWqw=@#vnZ!_+!kD0Oy(J+NoYQSQd z*v4B<8JLuPj#+R0MTkw&75Of4 z*~LC_if&UGy;N7#=73h=-gz9aRK_*&EDpDeeU3$3H5u4~dm&L^XxYVTt_izh!XR3) z$STJ0I4*;zHAt{tVRKbQD3%clCGyD}qqD1o!veOL%t57$t)#DprNaV{DvI$H|2BY9Wr%O|IK^Fki#t*Z6NoFEkAe6LGknG4x7N?j;mURg6 zB}`%woDHDccz$2vj^~Pq2zUh}s3p|!FyvRXlp^QGFLPyCA(Ae#nk|vamr+!(8^B`F z;WQhn2gag6O4YNZ50G{gX(&yCNk9};?13^uo1Ijki$YC3s@VuvJWqwnpG)7Ki%*f1 zjntUxDToRRDlTL7Q@C#j!L~5jQy!h++X%)nl+u z(q1bu&`{lO(Ui(;L}fB4fv8|HfzeRl?tYPbdTxCF_KyO#9URZh%m8rw_;DV8{Bb;< z?Y*(TAMvBq1Y~G2!IMKFRw{}9HFhI`qSi{c)@I@p-Mu@K=L&lF^0+86bm0x|v%7E_ zY}yfibWAG%^Y2|-RF{(l&MqWa&6Xy|j+_p?{DK{~OHd);+sf|M1B)qI>7yHT3wDuJtmqq8TX0N75?e11;QyC(2Pg%BdHP? zGgt*LkJfbYfY}bY0*KPa+>tacMaAWSCTkCp`dz|_CF-3mbk%O&o^&HWZzyPiwAW!~ zPhj(%hKCx$^yuR%Ss8AAXzI|E1;HTTzU{KZpyNZVl3hmt+rSM1xCBpSi)#uv-xB=LoktFtC@2+Jm`~Ukji+-(=9@6Aq&N6O%lu7yXI>faW5(| zlS-aOC68GzYDfP|r?hTrb^Y441CpW;&6J2`ifdK9Qqpf=ox4RM~=?vgIRP}xby+Kq#t>}S!c(n7; z4P_5O^YiZwFB3`@u#3=KtD{_4K~x0%#sarDHgUjK5BVbKww_~_)-vYY7qQDJWSxP% zo&mbHSl7sxXtRT{(Ly$TigZ3pz^$XdX><9!jpmrX?M|i(i@3AX)F`XiO=g%q2@7v+ zxUQ}FIoh*iPr!*FfX`tjP^Cs@qxHP8v6+iykyyErJH+#NEvZep*C8-SpSz2`Ohn7Q zuH6sjz=rEuEK}sKUz_EPsTh*%!3MM&8<ZeZ9LF+|AthT#=U0qh8Wqx zC?z>Vt;0Z{Z}YX`160S3bB=$M@WY%|F}{-KiE}~bD~bLFoxp7!H9R;FV01Zk-MX~^ zbBQ^=^Za-C*!>@)RnWoGY3<<;pf?kD^>QZXXE~$o%$s^Ogu1>BTX}A!xw{qjJLfMl zz8I#b$;Xjq$F|1Z7jV#5@8oQ7l5f8BG@m^7Ah)*ktmBSm3jERY6TC7WU0cBG943D5 zj#fT#u!(c*I9NnF{bO~VnSHsuC;3gEqn_V?%;1nbu7fSz*Mgj zxTC9&=&Q!;WWFu43K78qA*K0Qs&c<2IrKzzx2-uwKxXVTdGesA3 zNqIx=P&iB?mB#IK5HOb^GPaiAifAC`XlF&=K&Gr#=eAfOGKQEBBIpG~lL($hR{Teq z#7D_sLNQx#c^nLM)>H3uGndF$)gq5(ikw?Wti6C;xvs^QCNAqUH?;2fes8rlZRqFi zH9WL8z-z;Aa$$anftE%dIB<9!x8!JKLf^yrxNbu~zi|3-VvDD#Z92q2=dJ7JchtFu zbNM<}GSa$npBa0dXI?$Q19u+h=)j%pu6wIFc9pKRF12o5i#8nRocRbVS!EsfZl5Jr zt>^B{I&M0TL(jut*x-~atxUC?_8 zKa9cgTrA6X&jpzbXMswGwKfkQ84TPoJ<)Y)6{-sHS+cWlv$VWIJX=E6S%|y$P~Wka zfkw}k1#2Zq;lyZ|m&U{7Di2++!^lGe_0#LE=jhc^Pub|= zKvy%ra90QQt|~<(JK)~TZoBbwSy7n`XSfhdUS;!rO|G2>!8<`Ii@JCQC3pd~P(mq` zQOrIRdn<}8uG8J!NQ$gbmRU&^NL88x2x!4Zox_B_;_H`G7p~Ill}pH}Wmdx>V%Z|H zqLR}&C|mus`D?Z)#8n}mppXc$l9ou71rYTJW+$~C4|PuS8ux~%a0kOt7Be6zAn7a^ zY%V(dp6cAH3dwm2E0e6`AgLNr%ofzzR($QfG&lP&J8Ts>vPwrat5y5iY(~h%kk3C( zX6g+Rxe~IXl5qBt==dl-J$>8qwM4GO&|;FsxE7d-0(ASe!mX|57@>1ogNRFy;hJ`> z!=ib6Czf-uEKdxDm{`fIac|4dD|0L|GfXg%qb#drtj)-Q1MF$v{KO7eo8O6<)0_(x zSjvf@HzB&3>F(%Ypvk@Ex^~@jtg@~phQH5HRAsSf1%nyUznAWT!&|Rw>|#Bya5MS@ z`n_AQysK#kwHCV55si_XY56k*B#^q>B>6s}5#Mx8g9(QCl3L z-Xe3@I)y16h15Z)>DaJ1Mv@dxPDOeCVwiO0f$y>!_;A0EJGN0gg&=4T9CxeM6)JdE z+i9A66_$sz2hmO9UK@A$=#Ix-C`kO-tJ6F&6e3q?ziT(^`NY8ne(}yW^w+jay_UNq zGc5Nr>utorS!%e|oV8iD$SI>>DjC&zbW;$Xw^P|X(hiF^=9(9>){%;RTcJTYV>n{UM=B&aoH_(*e{2U`;896-^rxy^U$ zYad|8_#mxf16)~GW(qtxw9L7M#9IDbU%i8m><`d^*?V3oMb|e;$mW$K**-?al1bhpO8Adb!K!dFrXBxb>d$zu%l*z46ZysiXzSRk#&J;k)NT zeDmxQi3+#Xq~qbe_58$MJI0l>8``{#?&kX14i0{w6my zS4y+VWli64`8>#4A;oMo&2zJ5#>@vOS3YYoh}_*>$9;Wun78P-wQX#`eLhm=yK{OX z<~9_wcD!aXh#cDnx1uO~`Q%wnj74binCYo>9`d)&rF##K;(8WK6pb;2)+U zJUf>qtQ*82XqCxEy~usNb^Pjmow#kA?*^@LkFL^OV_xfexvX`CTDh=h^XUw{lJHQr)uXf3u8q4tV5hUrivCLOOaww_ zpu(*RB7Zww+EUVg(R&NTQi&*+@(>qv$Vbk?Zk0%~-ZLUR{i5 zdHv!7R=X2jWtU5@6KJim((bigZS!q%+Z|RK>OI)q4lQNDYDF{|5%VF$>;j?z1e1Y~ zV&SP(A2X7Nf}q`>P3Kr9tQE{%%JbA2C>T6k%-R_*xR5Jzbi=i!l+%vCXI@^@8ZN6U zOQtr?S&p)5Z3C+K+R7+~i{D1L6u9V(tmgB)xB}&lM-l69+njs1xMtj{sORLe#P?=( zM09nS9Gc2Ro7c)id+T=Q=c;>c+yf0xx_$O*=Gc0hFQrPHUbT?4G$DFgHy`%~^IMV? zo<1K!?SGV%uBJNo2DlhXadIMptf*^R2?q{`jsh>b-*ZV{jbJ6!?X|c$N9(FfuxH0_^W>;5R=q$ezH~ zd2HtvO9KvuJ-CjeNqvY&olJu z6P!LjLP{}{5*$RDKFqzh9^u1#{9E>oziw2xpFjBue>kLPRk7jHlM2E=BjyMf+Azh#W_8jLo7xakXKnzyv!6H<(7eC{M!B9 z_^MP{U*i7!*WTpi(9-}I^a>q*g{}rLSGjFEsf0T|57B8}RumGVfJHXovGn5hH{r6X zRnxJJr7WiODkGs1?b&%$K|Gyfa9scY_S>*=W23Qc+fHNK8(U4%*tXf&**IxzTaC?) zdGGf(_xvB6*+Ykf)*;1F15R#@vvf)pX(!rD%7Bn|6u^TGT#IbVN7klLe_y40{gEwUh_aK6)@mM0%CDtj-rFnn@ zc$-@iKNm?X)!onLLQ_h?MbVYvctp6+vH&=-&0S%S0hP_xPW&@KBCTMR3;hz+`bH@Q z_)C=T8VV~Z2#v#mMUO7#JD zRflYO4=+CYKmx39FiiU$Oz;BGx^yh28p0MBdZuRk!&>WeQTop-JDvR#6Uu*2u17mf zlihhVIZVd5)86bW#|s6RXNqdiqXjtT=f1x9uD5UZsVUvwb;@cvC16&WWnLa!>N>Qw zO((*8+}@dXGHY6>+$3UF>6N$T={{T>SpsYa)v8%$G5tR_j^QKB&~#0SKe`_6FOG=+ zZO-#_{|*2%2@Wj-9xT1U?`co4)Ahg4^z?KiFRu(GaNuc2cRq@v-v|cz$MLgMZVwJ6 zmXexeToi#t^T_N1^aHutKOdv{!a%Syt8Ea=J&BZEr92b<*s=*-=UfL==hHYacFFTT?iCh!`<-luN6p+SG{=a!xWdTX_+H5 zmD~fQFzUNM`gsIT8#E54(#$??CV6u4wT(#=MLCXV&nPekf0YOIYx!-|X9s!&A<<)# z-XVzmT$L4|iOuL9wmg%~=MIeFLo^s9R4h7`xZ}lCM@1EPOmCr{V#bkvei=O|EMLXJ z8jKd9pP`A_)wtU)7sKLArBeGDE(h3c2;;}5`9=#E?ET@E0NG**9Cw3CUQ>u7+>;1& zS;g8KsZxzktHT`+uaM6olhM^rnKEyPPNZRDF*Wh;#(X#VEs!BmWdl>0X=-Q_*e8xe zYN1fnI_A^!Q+`*TLfE;8tN70&^%KF>O<3G093_>7Ifg!a$gJIvrR-i)TI&K&?2&Br z5Pb9yg~kLUd?C@QnelXW4gt@aQwqkaPW>9pb6zTFTaxDnUZW$-Z;CvI5aK67blZ!+ zoDEKv!C(O$D1(vP-Rdlq1&G(T7_R%lIW#MA&WQ3#AcA-1Qm5W)rHFVGj_YFCIQ zA`aje?>~%_(caNotmxx|bN?`NGe^9mtxgRGqm%OeqS5g0?CF>FL)%k;aw0~q;dd{u zPDovEs3JUyvPNcVd6k;_nd8mEMq}tUXJl8JjZ*jMC2Ck+av1yyhs2S{G4ZXwkiS3f zLResahIIBR22Od^7qPj}-h;^>!KA0yRAY zX$leq+P#QQ3@o<8{O!(|fOFGKj7FSzJQgT(orFT4U$_YPau+}M0^U%%p9Yz3!6r*& zaDXN8#}4t_*49+d$MR>Uu+b3%k5KQWGPShtbBc8?0dfM9H8e71R*qe%w1^7au^OV* zp5soI4ywr2Vu%*l#Je*{?!v-gIcCitnk_JeF!I1c+0Ck+PC0V}^gMs_BI9_S8ibK5fk)W6N8x^Gk!!7t)cTb@Xy5 zE5cagmK_J=>OGm|oF>a^DAYBg)?d(Eh}P2|k2F^5S#i2Y$I_C$>tK*W zfg@`QNl?NQDj~r3qK+(sOH?26z55$gcRuC;qOa`yug&OnYbn`{2%Vh|u2;^ZZmj;; zo}&mZ|G4DD0+=Vycfz};I1PB*TB6p%a(Ss{lgw-t7_JFCB`1>y7QAHU*8_eAMW%_K z8f#rcwR7OqvK|pK4;C}VJbM-fkvmbZW_ibk;8SD}2ThW>J5QfHyI4{2+&2t4o>Vn! z42hxQq_+OzB03d_u6)c|dsQfyc*YXc5S4}!2+ks;BgzowD~a%_FBeU4jMJ+FQ5A>(!i??0iAl(1xR6 zr30=!9E-)mVIaMWOy@b=xZ=S&da9yMN2d^ZbN{o`hj~>4Ghw6zuH{*-Yn2DLtM#Qv zXf~0%zpdeBNl)i)>^xk{YTY*enz>JFZnX^8dMtk0#<$}_fmP4%AGR4_V z*Kb{xpw})`kD}o*@KE>LuVp|@1%-cg?dX=lc|t2tDzn#)edeFrW|QS;^G0d=dy}}~ zF8Ul_I=!Mip^wL%UwdgV!Bv~E?;8>Xhm^-5_<0^`JZy~#4rfKcW}I1C3I&7n1|rZA zk&&Hmb|o%5t^`F3W+vO0h;g=1puNDV*yY;Eo2LwlxfBT4N||9YAIP`cO+w$jiNaE! z_1*n4Tghe^ND74|_^dR&BPpDvdp5$!ni8d!MV;04ebN*r!ybRSIY>~u`T~N*q9nxHkSU$NMHU)BC#Q?K7F)j?CplGaH^$OWb42w zuKp7!mJ@RZJji71#=ikgf-1>f(h&HFa1pQf!ZJPm>A{WafAU{^n6k!M!~oD5y(M;{ zBlP3+*6ff=|FqNYn|AD#K<`m3LD0@H39ENT#|^U*O)DrS>iKN9CUnOoK#BPd87Ytq z@qxb`uu;((=B0)rMmN|@>tI`Q_A_jG2tiDV1&zR1DL?M@Y+dD0vA{w#6C=auhb6#* zw}y%!mJ9@QDD8Ui6#_U_ncO&bBS$y;Tk-BqpWO$_ZxIJZ`lhxA+hy;h<5TBH9$MfkXbN3`~ zc-m`cbW}xv!zC|lln^Hc+m&_U zUP`MF4|4@s#3(6*L;?If$CRS^&X0+`jgQ_kW=}r%2}1e9O2Md#XC3!bq(nJWAf6AL z>-pwC?YS~c48x^e^5fA~O;;q9)JO~GF8&NH6j$;nCn`vo=d5&a(> z=|BI@e>9~1`(?wUf-oY|4Ef8K!Yw+_+CzeXgGn#&vW;gq{scgIm7MtRuA) z1m+j=l0VpRC9=Okytfv_^}U;(I$*HMg_u?LR*fktIM0-9YZASl(?!k^z3n;-Tlk~>#P~-cla#ngg@|RWZ+Tk+%sugqPTWbJl8AB zy8b#X9^^L)kbEecE#E#&j<9WYihHde1CwWtg+oZz#Ml80f@D@{vSYA&q&xhq$x_fJ zQt?O)qQ68XCSs_*j0s?Pnky@>L!yA*+Yqr52pd15rv%L9WbAY!)ed%YZQWd7j zj@|D-B`dz9^?^Ta++f!@Y2wnU2R#gUDSQU(neH(MTmtHoN7$O;Npd^h=y9!F=Pq3A za($TOQcMnan*Z|Ixn;gYgHEwQHr?*}8<={nwVS^zM^XMxJ1h~r8xM8ly7)eBdVtOw zr&+nVM=S+Fxc(Q*{xR4Fo`IHmeyOil+rYscSRl*OWg7)}l*6Nun5h>FX0chOr5S!Y zavAvCXBQ_LnJu^o?R|)x-_ijQj>?lXxq&b01fi|H?=p4wo5^QW805L#-*;m&7MlUW z3PcETmk2YOCH7Z%=Wa8g{G|xnlVq$ndK7EE%KPB8-4>axZ9tn+=s!A#<$Amj9h%?z z6Sva(>0#c^D_Q#a>u;N^ximMewbPEyw4pzD0C!qXCq)b!TL+t&eCp$xK`4ck>)iRB zF`D5w;cmabe$rb!zLT(j;X{d4muSmwsEfD+u;!Z3G|4hz4JPZB7%=W~&@JddxgrZe z>*ln)HheWxC#e92|AC1fV6J4b6HV}D`5i$}{?!Ns|0>b)P2Pd^bC(0;E3?VUQvGTR`x8eeXew4XA)nmoKN7W>_D0PHrH!j2M zfMpjuY-$GNk3$C@Z)oV$9+cQ^&KV{7e)walQ?wt>hF1FyiU;ar~zu&!oAB}bt6nsDSKg$T&kbKc>941&43&?Noqtsi5W4xSq zar$_;*FK~zJS*%|)ZMm!8yDa`RmHAww!EeI*qQV)z==|>a9rkzd5hA`Z0iX)d#iWb zD8*9sLB2JeG`7LcT`CS3>OpC&6+U{O0g+VD+Eq3BC`dI|7mwVUXQY?~y4ItmpCT?S zaqV$n%vz>3?=AdP_9@qc7o`(vD6AM@r69$v?#DasRf(%CfRmzuX`{xNUn6dmL->i5 z_U^%l&;Wy*pRXA9GSzAcK+Z=}Fg+J1vSGfo^9Ii7F zjyNJFlSHBIor3-;77=wvY1T$xs+&za~mRH%pGR!e(<&)(?(_M5;dC(O<)YfQtZDIUdKd@9EF8O<#-=&uhP zZBK7uJ|}nTOeC367G8e5k}c%MELM3QI(O#|&W6?c*#?0Kakhk+v^Cd?-4O+yVO>6t zE@v0R?!FfR9=9?dhxam_xtw_CI*d9olfA)^_XHQ^fZ+h&Gejz;SZ5zYAt9f;-osB7 z^=4S*>u9X&FE|&z=7N7)v44KY`vzS17Mc95|y`UpdDnvZznkZL}p-qRWF&qum)EXBU5_oaq$9oB#a-kyxc#Lp_Ng9HU^% z=j+8KwMayIaxgwT!b>JI+AF#xtj%1&rP*YAPwHRxY*XOfR_w>w(|%}6GdQ5yCoa#L zkihur)io|3H(hVOHWFGLZ`_5EAtF8jiyDP0o@8LlxN}Xiv_J;)g4%h(*MKWb%{dgA z+;0hTNFVoNyE!%cJ*>o(NISAZ+Y!Bf585PJoswwm6htS}-7v9#{?XrZkqU2ZYjeDD zkfz+2mERq4h53RzWosKn-5ZF-6^G2JtfsJQo2C_g1TH|x4HHK-4f4gm^7^?yZ~_5( zHX1C|ZY26SI`|&I@}tp4IUuZ%_?D~J#`=MQJd=|Ji!`}$AH59~3D?Flr}i{vR^CZd z>`rt}XP=7;kgE^Y8k27r{L(;V=HM7K{Jb}01AqS4k?n$>pFSRYlw4fcAR!?;y2~Ho zx2pd=X?}dzi;_|CkjAoAJ^`(8@@tD?0z3@4UUe(3VE$B$fyj(MmLuRAC^E3(LOQ%p zfvsh+?zLdALG2TP-V^0?PR>5DsDZb(i9{XQolLq;s|R8=t)mSAOz?QJIvJTHEN@6k@f zha${8-OZ-_7qn0;O*m+|V>A39yFprl-I}eh{vWaK?QdE86<`v;uuAIGjnLKzsMUoC z14_P7R5K?jue~vfm~SJz#<{9Sc5abyk(O{N*UK_=*dS{_nb9a^d?D*+d$u<+XIpu_ zy|Z2!?f0xXBJpQnX+lH=X5PJE=fxMER0d~fQc+UPA;8?cs%_Dh`Op!w@tXV>4fP+` zVhT)b=;MuOaB3QE7%_lTi0Y=L<=qy%@0==;!nDG?;`DfjZTShsb_3)U3qS()CEnu) z9>?@$q3__7V|$OsImQ|j_S>Nhwhgb(cW?sLxHU56{7`qUk`+o{$$WNBK*FfAET7GV z|Cg$DO?zo9jamICEH8<_Tiz&-#7`l_(!ap+>(6bry|=|mHtER7`QjsKAEdml=8%q# zF5TANgBRk?<*t^uc%xzWsOi4vVWUHHgG@T-`tzcE4^%tv@XJdBB0{^B+kJ=DbS)W> zP%fS^XD0X_4{I)Ykz0VccCPl^!+>wMaNwCA>j%tqj^MD}tmxK0>8AhpfTE;QostTe zSBl@NG6p!hl$t-S+*+Ka=6_tC*mZbyYiLiy<&dGm-QKRS;>vu{L~ptD!8t#93VeQs z?Yo(}sW~F(xto*w57@Keb(GWjc02C7gJ9Tu1Y%)lA256yG`x;+@HGVs&5I%nLe%|_ zbjiRA#5PTN(^By`;6QLFoWJjOzw)x$Jt)cv+z3tRWxI;}wdFEl4?nkeoUND8?EFpB zn-r>adw-Ypv}kN+5{T6-KD|p1-IWD$yTGV8evm}Bz|thZFyRqb50jI33QPV=5q9G7 zGNK6=t;Um)wCA;zfflb$C+SBZ!IBumSa^#5&ko|965;ok*`TlzEyx5rWc3L$cnYY3 z-}80h+e^rQ4^i@cRm`2W%>n9zh2zGIe6uH-PsKYd{$1)|`!eQD1&Jf=bXHBYF5LXj)azrr-a{oJ8Fn<(vkcmiV)2OVS$U1xy%FJGWUWNqq?V7)A2ltn z9b2$t2dp7h7;2i!4@9I`T&_gRk&%Z=`8s+!bq3NwZm-tgN+#f8{`}fD8phz2Qh7vL z0a+_l-ckPNBkm3`&fqF7lx_$b%@->}2MfT)>#N_)(^e+eZpjdo=r-QH;$^iC^9qU^ zXBinmri66to9`nEB}7SEw_{R94ZUR@-`iHx$iLM)~Jousa>g< zyji!$g4ZBonsYGSpnCg-;p0DdgYO3@Z+HjTS>z6uYJOa!d|rndY{bD^kl}vpnTkb2 zsZrC0_re`8qq95famjbkl{J^@d7`gf1$Il-Cgy>~Alx1CB&oAOwY*^wkduH37}UIe z`CuPVKBrpz)5r67hp8&nRCNMmY_SYM4NR`bQzqu)Tjg4pn_06|=QIDYO%%OBKbG{v zj0EZ-*9c@f`Zi5ZN|UlE=!cX3jT8G_X&GS-JQX}-1NHKRk<_QxUvL4b!_OeyQ7a4HBIb-lYW&H8Ik?oJVH#|N z^FJXqu$P1W0=EXskcLcC5h`9fHW0hxP&d`+O5gl612pOURXwLzbL5{E*rHbb^`H|J>47=N&=tmz=t~@-V2MShnM^<@q3k2c^8? zA1v}o!^nj1Trm~o|DkJfbQQ^HXx$qFTX^Y$XlJx7%WR`uJMl*uyu2NGGP$!6RnKgT zz5eYz>2|cf`xVH4`}2kYO%b|nAl2L5CJ90cQH-kxA;*STI$>kYcHsBji=c!NbDVQm z{{^(N@$<|3`0ycz1-l$gfiaDJ=jZf(etx!t-dC1y`L3~PNw^;YaXCkKc0sZ?bjXdd z;1!){3-!%|UAFET|67@#HqLu&Dlwu_o#^trIDRZ!Q?@D3pM!wY|0x&!zQQKB)>jCc zfy?`eK}kWh|6DzH?m1<^E^_wF^tNG}u7Py=KrK z>~r?K6vE}XTg~;nvJ?FFv$p`#MlW&EnIq}X=J+;J2@eaNc4bwqN5*r6Zss?ORG#MV zyN)iu@@_FbCf*k^%D6k22Lpu>gl3n5@VdiwXbZ5$sbQFKZTXZCC2%seMCdV?Q==Ae zF=Aope`_9TMTA&8dIJZoe;=o}pd*mr<(CGhw`D{~$BJJzB#IWTi%rXZM!WvPOteUsVih#sEyf9oB)msv^o>};*e2ZDZoN07VTb>(vpJI zheMs+QR)PFc*9<$q~`GNgdL~;a)H6oC3oPbMKaw!IKtsIYePC>Q2%7>^7P4xE3-|n zfY{b?E06J1;E~J)Koax#7V23q{ zfvY30*W7Zqz<0bow07GcssFsj$dTF_L{0}*|8wPwdTyJr3$?qKS|?Y;v| z*P4C%=ee`r3KG~Hy~49~pS@RFO4B-ske)<4VuWT)UU((sXQe zj%8a#`@G2#>*U1+AO9*zLSjDU>Cflcz8E1eqnNjEMGa$K1+9%0Zcw!D5}VcE)zVL_8+D|^bA^DuSyep)DiA=+#mb-I(>fabz=L4Z~xgMHJu zv~JkT_f5gbNS)3SQ=n2omm67C58dM}o%0?$7P0I#VF&lnGke=+q5$)VehS!Mg!TRxt8lG_9$5(41vshNlJp^09Do z3+1U7@V|ooZFSl|b^C2{d;dS^ZV*X6HGFON3oRIb+0!@uaXx+d66Bw*LYo4H(ZycB zS*4p$NVhNa?jaCg4O>;+{zI2wjqzY5e^e##iygX?!#QAwtekc%b3`usG|lgEnUAB3 z1aq2Ha*2^@PlkCJyahXl!L@z!B7&EA0_K%UcjHX&?k?`epwpdf?)sR6^MY?C-nLY4 z`*T85RqJ((Bil3z<{zb_Kbnb6_!>{1rV+ugarw5+MX9pO$Crmqh0VUXp7et!_3o-5 zbZ*utSGoCx)9w7(f_~L)BsK;!E}BH;pMg=@*n4!!^jIPZ%n@i^4-kG|sZ5%4?}LPg z)&@Ms`fO-}RAR}>(PD1Vs$VFoS{Rw_i0-H>{tg;t-Z*+ISd5!}Ke@NWD#&C z#ri1#)@-V|nyt<^_dmW6|AP&&uk}t!N^*5`y9r_P4b1y|&MT|0M^#r}ZL~ybpa=c$ z|Noq`-IlTZ(mnL~d|}+}!q~I~v7C<%>{uWF1VxCP>+X9U%CR1S5By(T49x4z;O;Z- zut*1!tN^%3IPP~3<{S1qKSUis*D1(BaTsh9W35~rw-1YZTyk=VLwUy{O#i=Jg#sr& z?`x0qy`)%Fh;b$n9xw=@qHy1t-_1R+Olew0+MFdNN?OaR)^@L)BAQu1>UNi0_Jmkj zfg=-8JH9BH#_3DQfG*Km{gVaZaMf;7esh39Hf{}{@}?C$ zDykWi(Di`Pt}2p*K}X(uxS6?rJalj~XB+)*Vj@U&3%AvvxN>S}3kJKrTKr+hhNdCL z)q?>Gs!|;xbkYLq{lL~xYtjk8QqTp}wkC7l77V$ho+-L56|G=JSP0g9?rjPXFGnua z;5@2#!>})Ffi2qII;r;PdV?{ja$-V0w)u^os4UIp7ZpQg9QF$@BGn0hQSc`ikAa%= zJqEl;qtMmx{%$t?PPJL4!b)8^;2wTP&&S2%le23(2B5cu;$F2C1@w*$94yC_bYEIU zZB>Ty7IF#rg>oG{&@xXeu2NiIpRhL^=K`)bV+r|&PUg#0FhYW1QRX(g-o;-Z5!|yh zZqx#vFls}8x&~=HLFvSvCTO61K9<3jd)ONgIN2D7BJ@efzvw^>1{Uj0A#5%07cLnj zJkcH)-NB{%pE%Pgd9WFxczapPP}m~>t5}9QR)9(9=;-t<-wtb&g)L?3c~{>`&ln(e zH`aVzQWaVgpd>nRp0`-GCR|i?O0GXru}~`5kD@lmRX;LeWMXN=A!Xo9z-Z!U$x+Pj zS{edB>M|Lq%}EI7VvD|t6E>b8j%N^fi3ubg>)TGBwBQ}ztTV}FjhZw33!e_s83nO- ze4}mFi$3Tjb)l8O*aQ3;NZ|^i8&`daEE2O@E!MP{(fl%~*bH7W2xIF+d-!dpz zzzbWF7lP{bT2N~@ryH6bTnyKtqHeO6U^op8k{s6K`ML_B4^Ix@TLZ&Qs1mVn*dNiX zE;b)LnRYHl*?jjFlYC#Ef;ZMw^(PPX#k?hKndATLPn{tmme?UmNRYPc1ep)75!ixs zyj+><+I)?mqizV~Zunz}#$!R!+nM-#_)NZekUnum!;O2d??sWT2h?!_Alf|tCor~& ztM%+(^U4Fk`hMf`8D0Ltdu-M3@BxPM20y8dtE0PLgH}N$$-bNJ>quME?mn&8H3tMe zw_|jj;0C$#X*a6#T}u-@D74q)RZ;_XFiZb zCSCp-v%H#9GgR|Ca%9c^m!f%iG6JLB#NObs?S#z1)!4Jz^?YL^_?2us^qK4F_8G!( zmWRe@fEzB?4&7Kmr(1USi6uB;GKhF2J7Av=-wowMG0q%|Mf^Msq@+ z_{LUHPiX?6hcM4H$w>~n`a5mgh;Aj;))=(%_gOf2EV6~=Q|n5|BI6|C#_TZPpp){6 zK_E6Jsz`i&CIYwpzm~N6j1(jxT547pnm|Rx#)?$s6bPr_k;t0ZH{vObTskA6YQGvLU9A2K!Ysr_LpV3<-Dyl)T)@pQ8x&aAFC>vsiUFdrj zRFF|+M*F%|Q*m_-+z}F^=on`icyIh4-Rl*vYnYyXv}4$L_*A(J^Qxu?sSkLU$5qu+ zIeI}QYT&=Pei)<*r%-3w}!9&;rcQ%1@ zTV`C{9o@1mlB79fjwO)rl^DU6js5c%M1}#c*U=sm%FMEz-gn>gsdu5eUnlK{TF{NN z^q-&s&_t<)wW}`ol5VTL;n!~^yZn5-Vyv(Vu@!>_97{TUgV~QHCsHi6W9cCHuj3F~yktBR82ghRtZZ1==6&*h#>mhqg(RfP;1P?F z+e!lUk5T*pPNv?(-2okCE0sp+V@I%=z%`aJ3bExqD^Ayea%ZdGvn4lT4xW{il%$+C zCY5~BpJ9dC{x3r%FIJ=51UcqUb>Ss3151g9vOgEp2~DdJnfKC^go!e7W>s(Yb3brh zN#Kvip`-Vhc1CD%FbVbP=T(FTHuGLuHB0EL@I7P>^R_aNrVVln$t#Z;aK|cQwQ7D1 z>a5+lEQ^kWFjt}>Yv(Iu6w}?HoHt&;z8`Kl_y3?AWE?8}r1Be+hzyG0rI6LXb~xFx zg;@`)aHe#om|~#xGN+dZk4o%WzRYdxJWn&AwvooJKF}u5?>hs7Anf+Ex-q;w& zxs&2J>7tct0!ySt`KNc!t-bdN>>H3>_Bmu7zBz8!+P*Ygi6q-0Wyibm3uX;bgw;h# zv@du)oZj+#J{gMI-*4{9aSHLEk{U?wHQBvlo=rAIFkZ$v^QxCSmCf~(cW^q)*Y z4f1jyP$*A={$eFZ{^^dRhewRD#uF6Qb0s&70&)O$c-YGt-W~^xN4H5933Jx$9k9y- z;Rb^@#Ts^PqQSX&*)#S&*e_4E@030%)$zSwH=;4UX6 z25kT`%H}PEyRZ2pZ{Z^=5eBuQ5~nrUJzV4`LcK002r|q^n_Z(mK_g^d}JB>VE<8$2W^R9$Y`tqrat;q6G~iVj(n) zj*LD-P+>=rS9xokk{^O-%~g5}$FJr5q6i$g0{cp>p*u2Hs&?>uqf0W5wm+nFQlJFY zOEy)CN|+YhMgINLs8SdCLk?P5mB=N~p;U`!K5;v~RTw$Y+29lqT2dLd*T1xX-Qp|o zczSrQolT0GVWLA!MR43jm~s3LBM2Qk{*n)NxuB0bcdN>iEpGQ&*(Dy{BD!~p<|r(* zdn*W_bj1n3vM3OI!e^l{QD($ghv;%3qx;>vS4j#?645cJ)9x=j`M}hN#<7wpn6TpA ztnoRfe)$3W(WMjb6H;pqZw_WQ4J7fLic`OydWm5j%Obl7|Fj-wa^Su6Ku;_Nuc604 z*!^IDXv5-kc|lk<+CJwv1o->YeUMVanr&-OfHoV;Ya8|)^Jn~#ir;T|dF^Vg0rTs z@F%;ncq}-NuXWdEqGH%z8NgrWq-MDK?VV%X%z0XkT(Ytw*J9bnRB_X)s%P8(5E6wH zYuFlF6L9+9@m4sO9;;TSzFxDfb=n<(Gw{8U*z$k1Ut3@2aX-g-+;Bk|jwO68kgZ-( z)EN}&X6X+IaCWV>6!;~A@if?>>*c~b^&}g*cZvCt_NZG|(Zye0@#~Z?+IRd&i ze74e|Y0~8AKtj$3*eV@Z<{2Vi4W^1srHW$p5ku7}=3^+ZQB!RcPV@vP2F!u!c*l26 zLqh(0LV9z)xFJ{;;do3xdjQvYzuCl2Y+%WzuC6V+4|d=!!DGaD2fEkhhyr3=d4t9c z#A<84%)(VaA+hJ|y@)t-bm_@UPnctl!JwNLW&GOiw}*@w(6C64sGeJz9V+0vT7=l8 z3*ysG^)j)_7@h{RV)Pl6ea)DECFdQSizfGj`G@U2igY@3wuu^A{FwlI%&zhOFJ+o+ zem}o)wdKvohrV<38|nU<3rydLU$;?yzN|cY+7}3WIu5+xDgyqtw9GT-=AHPVM)(LG zAy$l1Tpkvc`v^{n_WhliJ21hkR2c?4f0wSURr{Ru?k}M3co>)&&6}s!{boK@obRQ; zD?St2L~S)1+duWJEBmDS)S8Pb>i;w5fRppqq&n_Jw#ZTAmIb97M&TgP>`yb#6dOd~#7aQs)17_N5t}ypy=Sn%_EN^|!PSAZ% zSH9{*CY>E}1^TVMc%lP6TzV9E6C4j;++sb7INl7DP*!3m&tiD+8nJ)W=f8*HyY^J> zbOBl)Nw=D__e_UlZ@>@V`PJ1ntZ&48?ub2~UGJ371L#WE#2@_uV5O8lh$|rJzn#v; zgJmW3uo4RFbBqIGLXGt5F(zDx>aN;5$J^meY-RCCvYtet-3!CQ4LbEIhV|e;irI*Q{txzj(}KIB<3jwkk*_(*H^R=aVj<8 z3RcW78IqM!Lz3+9t2VM%C=mJiy(~`{u{(l3IU?COmUqitU?O|(`+usZ2Bx~|8s}*P ztwY-~tnlKd9E(PgeJ~3jyne&&Fozuc-iEk?S{;6&T3=MHc=qdXLvpxSUYu?~Hq4Vx zYd?c0MdnZJ@4m26BVgofC{rk1k>d_a_;eyQ9R0omeH(Ioc@IMH>QF8W)n>Osq_r#$ zjt^R?VWA!^+C%xK={bpq0a*N;tFHcf&U`(0=ap?!$y4cdL&l$({~b_1kuqE`}%Uq$r##Y zvJs*hk?=b=q7Zg<5#C}Msri{V>tbm-;F~h_c=T^o`Ksb&c&FC8X1YUgPQvCBY?B(w z`@?;CYrj4cU#_W;aHnQ)XN(<@W7ewS}S1B|4xG#;LAd6xQUDFxC(qnRiuU$>@a4_m%UU2v?2*?c8l>lZhyz%?Bv-mt5R z@=n~bMm-D~ zd<7#GmwdY3u2)@0Pl9jlllX{c@MuiA-Qlh;S61WM5@oVlcmLp;)O@Cy>{p#m_sxFS zcD4!E&8-O6Vgt)6WAoaoF{j-#X{99?9KXf=D!dr`XSd+KVz+qIJ39I;E{~uTC#%1B ze>RF%>P?aexW|0C#`loYKtECi4ka)2FxjWd12=1wikaLp=t9=n?EV{+JwW@+VkNaQ8QTu~b8^6|nROl~0E z#dgSVckAK=3(3sc^T)?wOo%=!L&@I9ckdHuyvYges~on+T#&%)&I;%s@e2uCdVw$G zPy3w3Yo}pe-?s;4Dtj@%$^7LyfCzFcgPRFQoIn%x7Dvor008U);X_JyD{!Xep~lpO75Zdtv*Y z(yceS)%EEq7qB)ee}t1o2eOan+T?{T-PlSRJL0cw9Typc84eWwrQhLRZ#s(}+_g_rW7vGyGL$k?D4*u(2NObS_ zw!Ry~Hx&w<7-;=ZH*xeMz6wdmkO%gKvK-nkU(^p}#6^By8ghKtU-wyMGX_{arKV{> zYWKl7zakgLRf4i-@JPxa#sD~|E?hVf4QD@5CcFA}ssk8apekJof3A`qdF-*SFVYFT zB(!=bmR85bSKj5vq1ZoGvz6ET&$~!Y@W@lccLjdid^axC5r9j|aE%I7wf){P6tz?= zX3JVQ$snTJj;5gT)u}6YyXOJV!){Zyk!!*Mxp{u2I#s1CMBQ9_LnSFr!0$ZJni_5I z9)0ticT<4hzGPzm0L6q!<=BrH=VdHU4cb<)a_g|Y_f^5~Z9k_mn^0D_GUN=)3^eLi zvcFpD$VZR%(?P@|kH3ebu}GYdzt}w1^Yo)s(EnBuJ!Ug-r^&&Y;z`SxN;|XQ+9}kP zW11%_VrY-eo%I|+oO|W8WV5oRS`lF}V*aPM!5}xct0 zO$sa;c)BCF{8>#?!|&g%*N}z-{62ywtU@B!^G)WX{o=o}yH-Z!;g!xzC#CR>7uRjf zMAH2f0vKl5<;3Y)CLJH8RTjGeSn4`QSWdGyoX)CiWsualkJSUXip4}2_J78vw+f{+ zF|p^E+SN>^i5N8SPRnyC>+;w0D%k{G2w;Lrwiu~sqBM-_wSeyr>uuoc>+#jq(InTl z+3UlF@9X;ZVG;2=n5K#ePOmUq%iy&Za-I7*XuXXvf7}sX6>pmb*KI?*NtG)#W!pa9mhOy0*4PnG@%@Z6n`4;UdPuUcSwFWvKmY zmiYzN&@w-`CeR=`osbZ>zjm?-XLOv|ct#&GLdVKWs!InwuKd&c)H>2~4>{|2(Q-a< zgfLdZX2H6gw$4f4tCZLL2a(3!5RA{F*WeH0V#`@Vq#5jEvf@#(qG`Fr7A*EQD|C^j z1S0l!ZXGq8YPVl%5d?VsFcYha$@17=V*-Jr(G2|)x1z9v+SWFRTaH3a#9x#IzK3*s zh;)P#UiiCb^9<<w-L zHs50{tSmzDHB(SjzBMDB(Y9 zvI3=|KCMyIlI(xVRw%leA3+Z_sSv|{H}9OTgniZA$8eO_83@O!4U{?V;M+#( z0^jxt6wG3WE8EgmWBDYXbg+`XscI@;YjEf68ee}^S&NnXy6)!Bu`lk+=5EpQnzn}V zj8`Oz!yCh)xz=ieh4fem+S=M?=H>|*84(7xM^86HXvSa^h zTHui&j{o-CG(QLtJgX8Adg?=2X)s3s_ew>@#lOw42Zwoa{_fPZ4_<%o*+vm=*;1Iv zM~-pJ{60QDk$&fmeCHbTV({VkOEE4?c_Mn%s9>S{7n&5O7j9{Rt^xebfU?%Be# z-z1nR#Ur6aGUXqAXA^^i)@8-vXC+U`%Agb3D1Y1}aNa>}?ME6(u@J|CO1cn`C>@Z_ zSPfZAA+O_wtB%=BPdhbuT8Dhmk{UW>r-5Bb19!|5Qwk#S!Si_z6BCTwC1iJRr>QtE z=H8af;K*r0M7Mn5$Uf<*6BWrz5DP6MatXk`y4W6HJ!B5PAvpDunmKT70P@G#VizZv zpX@m*k=>EkHqLK$y;-FZ$4$#-ezk$mPPX7(0dj|(VVe~#+eQrU4eUA9rS+9MhzuJy z`FtWNJUVUh`9}7DQfFk4ITe_&_~^kJdf4UE25KcjVez7(f!Qp?YTU>rVRy{TSjd0& zyOtfX*OTa8h?I!wZgBADSQ-o?3b`#^7%<| z-d@iOVAne@JUul1bahEf{x7_=9K=Q<<*73L79!atk@rfgvsRHu8bzXwsX!~1t|7gb zF$du^bz$wA)F#Bqk_-Jhj7E;EjYbEP6I;rM57dd=#&k4F#83#GalzjuRhhSX3}0hH zJ=UeBJsir@H1UyVW^H>bCJ%U*@${DLZ1gzC8s=whI0j7WRnD?YTW52h8021IRklFi zyB^q#hz}SQ6P;0rUWk)Dae6q?O5O6vvUNFjc(>OV#shjVNx!ouCX^P@GKJw|?Yj&& zK)|1$=6g1EFRfwk=Na1m(<;l;t4sjD(smlk6o4DSNLP-<-5EpW!M{0(OFWTEBtk~l z`665b@E^5sN~Sod3`L8$5~%fJ8cx-UmY?}q|L_tI{yw`X+*{xFP818<+S8&=B1%fq z@*-TSnwX8NkCH!q%9YZ24SJhCyF#cvrq!$@HQ%dx4GiD1h~g$ui|E=5vG=_!Ifr|m@~Y~&XaZ?TZi=L_RQ<1NO97> ztuCLiGWE{;C0!_pK-7*y`wd{i+}vseOU0}eW1F+@rrUD8^MP#lW7iduP>b0p+GY1E z0F1f2DW0dT>A2(-yiJHBSJ?Y+IlcWf#Kq|K_PN!O%^n;Z&nVnF`)iWfUw%f}E?#&f z@+*U+eY%Mno}vrS7!Jt$D_)n%9i)BJX$-lm2u2K6(rnmJ0abRY;zB-!%?uh#?yIKM zg69WI6q>o)qqS(a^Itpx9$pj;DZHV-LZqd{uUUFULQ`i*ko!`K%K2xcfvM5aUn1$^ z{QFm;GDKMzh-#5@I`Tqh1ralG@D#H18APgp$w2q>b-%#ygdzbfJb`Dc*@7?2haqic zBYmFpN2E^IkL)fDZ7Itp<1FZXQ(qoe6%$*{AmJ{~_3OWh?}YPBTt0kLV8Q1_!;x{6 zi;dHz8_HX+QQ5_KxE#9L9<@$_i$N<|Z;8%#+I6z*AoY*E&y=1oHsz4iI-)kI_j;RT zZ;JTF!SE^KSDQwbNjmp!Z`%FeBm)lJ#C2V^G86tg=ogwZ{}j?IK5MWZC5IpRP2AIy-AC`k~D+e+Rv9- zDZlAqBA;j}Vn5d>kDhHMCnpwl7N!gx=-v46&~QGvaPG?C2}6hSxIO(CD>VOxdwBI! zf(8W@3|mG#UBR`x0y^M{wbk65*Lzjo_R{O|tgVxoM^K;KNWQY!xmk$7-yjHBv;Bf( zJ(P!fhj~}`a}m&CtrpP<`8>09Y;`EX1tS{8S%Gtu_xc@#)Vkl>M|qaJ{x{v+I7mVm zhzP_Qj=Y1?1~fe{?E!|i-#HuuOz=^d;R9Z0O=-c^Uz>2@KRjV!H}CcOac^VZ=^1EC zo2cU)6)6&`LQXfpfE*Z;>|>l_CY)ibd$e#jRvZQ8Q$$dRF2Jay(r&?7(gaS?{obX) z_KWF;P7b}q7D{5Vg z$^b8e;RLA_6DAL%An+Oz zNRN)#wxIgUeEqX;Ygxv+RP;DB4sD#+bUq~t3QuF^buGzE>Qx#?p^Co7EXL*Tp__Y~ ziR&`InrTe5ECsfrMV^2AOZS=akq}x<07_URlvG5N`4U`feP%W1Et445L+j9*b+_{~u*<9o1&kyo=J(LMhf3ic4v6 zE$&dDP>Q=-ad+1O1&S9h5*$Kt2~MCC*I>cj0>O$q+?RgeZ=H44xp%F5{z#LQ^R!a+B8mff>4OI#g+}1S6o^If=^|;0y@Vl4KBak;rF0@qV*Yhe|y|rfUWL8eS zBRLHk#V?i3N95|y6E8Kgy_SON>?k9sqN8%Vm@`cq!ERB*IgvXzjF~4GpFL}-qvz>=lh!D2meFki!`$EBPdxPdqrUIP#k}uo{i1iI+s-7m=)ptp_lv{W z0HGGurAW5c-iIQR1ZnDvqm;Hm30z?=dmTm5Tds%4p=X9FSmCfUjIf%9pgU7(#2RAV zzzHRmsn8_+g+fw;VW)HTUCHz`hes#ZUWNrH+46(zi|D?uv_lbv*#ypn$A1FdTkC5A zS+fK{5@2{`?sR)})xt+_l3o`AXAgNCNQ;lZlbk(`+7kLq9!y?XQAJfIVT7Cb!8SBh z&}hxr<{9-R2~W$ajB)eT7_&=PH!>qcvqQC&7tM}~-1}*8>*No#%K<76c4)8@PMzoW z-(Qh3Cpy?km&D&*K{NJt3g7m8)>qaZtL|FGP;kR`EbUM<^%RSYn>7|ZOsE)v`#!f& zz>#cB{XA~|Sd;q`UPPx9i^s%N-!Bc`BuTH*Vr`CJ=h0_ef6tiOO!o?X*yWst57kWK z#%^K+!uTqzWn3JZ6>mb@W6rClBl>t0%ZI^94y;A>+&1sA&g9CWuq43}J>kqxC&#ZG z^(6+^iE1lq&pn))z&3-ev!vhk#$Zet8oO3#S3#o;J(*o|rRCf||FkSwv7Pa!)Ws{^ zgH}vzo6Jjw=~NstAGuXJ9(u7bjeV}Hf9+$y{5)!D4f6X8V=+ncX=Uq`)j$BVGd<{CJ3Nkuk3Ff_G(R3! zZTb2a&+M}2`TjyFkl(oQTDsZfy^OuTz*WfLW8dR~NtRp;BA7mFoz8=Y5QUzEv(mUa z&>*Rb?AncN=&i#@X+yv+uPXkQof6@Xkn5SnFU#R3JUVFDK)KiG2X%k6fLb>Oc*vQo z;nET}gvk2-atr@*VB-6uGbiz0npYziXc@j3XwWBb*-5V4S_-s>7-Y$}PD<&W{sx+{ zR>z0%VB!{G;s~8~u0Ho^GHw}73D(v8AZ|fBXKm_In_x2l*BW_;V+-~F*cd#@H*`y) zutPBFz#v%yuYM1ci5^f$bK1q7_$a<2caHLD)(=Z+0(Cgk+{h~qv})QcrLTtgN>cW_ z_Hi|Vg0-X*bFxtn1Mi%oJ04%X^oaHH8S(~*mU?_ei4~@?CNDom!KY|JXHRd1;*_>1 zo;fk5$$q+0F-F^&_S<{g+D;#)1BILvQvuxBwDT~Fxu~;Re*1%}L3dEBy2EiJ)MDIo zqcwk+m9INgw5OV&D46zm9gQnR9Yn|EaVG9o52fD7tjI!7C_g5)Jvhu~*6H#ED#U^n zzrmCkUeW?%q*x|77uk*7g#;sDPHUveH+2OgrVfn@#6Q169te$ueREtz$ati=TP0l9xCFxFz=l zlVYdBM&uiHAsU#NykkkwG}O6(nA#ogsBnMebT{@a>bjwaD8Fn- zLa4=iUbv+M#3B!4QTLkHiVJqf5xrr<`5W^x}@=5xAPqJ zr>yAsvXG2Vqpk%y+5-8V-+wK{v=syfp6{9dM8Lx4qduGY;C?m((aAOo^@z*o?Dg9o zP^q%k_Z5dSx=j`t7F`V&8e5x6MDeWEM2M>9^2 zNSLuYkl{|;=Gy}?rtB?GTXLyrYW4uTO9PPi4y9bGvm^BY9BRno^&hL(D2CU)il6p> z)E~u8WYuSe)@KG)65f>kokvC1=i>SkMrcNR!t#KgFZ%^+WIKOLK(ZFOBhO=5&m3j_ zpS_~sTP(tH?P+?Iq5Yg!=p0ml(q5F;5+^Pv@=sru_%)7}H!r?^)55V&G=%~Gq@-fN6ReGC=jRRFC6R7*1}C!` zZZ#qEG{~ggNFFVss80ULl{MEX6pR8C`8xu}T07=ZuDJ4O@tyP$AKwY*`jg^dws}i%jkQ+d+lNi*Leo{4UT;jG773-PoC2u^YIc zmU;4y5VxRPJ-n1RtLvd8i=+vk|qewVGUKVqAbklku@Q%3wgV_tKfz+$ZaB%KUFIS>DEYTcX z<<=M}V-e~-u-562?KE|1XTmAVPwXj);^JlP7On9&Re-l~>fu^2d)bz_wP)yupDTbwHv&rq~N zG*D;(D`_N%*u*}3c9t-IfRe%|bB5lE63g0hckkU7XQ!qme(%OlRTXnK9nLPMHw4qH; zi4*k!qQ(@Ef5i4#Ed!+q;l!odoNjdRVmJlq?8okm$xA_t`5W80IX%^8vOEJ(uoYMZ z$Q@0#iroY&x3q8N_Y1GI^7LDLwxN%n+_%4~b-!xxjj6(DUY|F9V!^GfPvX#aw!=^% zmKw7SIsXJ%ct0EhuIGS^s*cKtU$Ay?AEYWFL^Ca9kVRQ z-aCT8Mb2frTyR^kALt;Se~WIHegl`s-(~j^N0DZ1?CtZb=4a>Uj@e~dw^hzJp=91i z4%E#?k91QAl@e@4jc^+2^)vfLNE$4$lP*+9@Mc(#*a{sPF&O4YD?VIp&T04B%U476#g~Djfw> zzKIdiO>MvFNalBMWOJNfkh#^p7jKr5rT4)OXgXUd*cQTrnaE~}-c z!sRWRB?fGPk#gV)`Ff~s+ERY{&n6<9J`nP&R}fCU$Kldk+7<@bq&~IL?eMJzLGxz* zum{NbSXA`dAuR|EZTI!Oj_OB!tIdpjkc`Fr?M=r3*m4_l6_Tp0oz|BtwDWC1c)NAe zMjc(g-C(!@`1>`6POdf|=SgX)f$t2N2|(-F7-GbBsLD3JhZ$dU!*fz1%5Om$E>{nw z+Y36QoyG(kDucE04N#dVGt?R@ih+inJhswJaXld-=Z&yKfEUSLYTWN)CCm$WgjJ9! zPEQ7W)osIQyL=1{GuTuzrlN|*3F{u%OP=ao)WMj2G<<;;-?nJ_ZC6Fd7tH?jx>xo? z3pjJR8TPx|p@@<`k3k2!T)@&hGSlw<&z&RHOHkm=N8WVI=As4Po~;Ubmk$fUT!_Wa zyDb0Ug7EiLQ4@~Ifq&D9QVLBfb*w0N1KZaf;wlM8NCOl03DR;|OEKQ}=rZ864sRBp z<~hJ^-b)->JFp0ziWFRyxp4axsCoQnhANx}? z^n|XPKc^t|84ZEsx@ATJ6(PHRP)9F4FWKc~MXHfsQv8;S z*!-9|XOG-SPiEdPv~JSVW-3ej-D3D(@7vI?JSuj(r4KG+Rg(6m|H`u=plCKr z2ydjDg{4AV|7Hg6zk5Nsq30R+@$tL}wjl1M<2l#_-ZO%A(FccAdi6zUvv^P^8(m}Y z-b4M^x^m2`AsDZ6aAcBBZ4IhD6$r_O3taYYkD)9XTPG%poE${qRd1&LY$9)FWTy>2 z{z2y64Sx1N+fUCR;xd~0M1+M^{bqDu|Ja zO>$9%EGWf-N$uR3Lb80aSMYYv^|ZF~4GzB;Wy@W_L?ti$yeRTGe$+bWM(Vl4xYD8M zQo)OaIZ0?@zsVdTtrQM2lB zWm9J_@Jjo^P=dp4ZM{g2(ChO!T~*6=5KWHH3@&B0e9;pZ_`E;y>SV9-B%edR*zTEY zd*LMa8xxsS#!J&@oIc^3-+cEX#)OBcmy_jB_ULkTs&?uDwL_FcbGu{Exc-->E8`yt zp=ID`M>&bOvf%4-ZK(pA6Yu8A`4vmDNIw=jR1h;xt-mb-@rZco5j$ayB^=rH>Fdfi*%{`1-A#&d9sspDBSTj8a81f=o*N zCu6I=kVH3`TW!!ud+O$V5setl-IwG4w2?V*Mo~Cgw8Ew7|JZkL#6v3DlQVK7Q>kwA z7!skD{x@T7wB_O{ce1s8l7Mu?FBh%PFctJB6Fm%jho#8ob9@Cmfu{@L97N(3dYQq3 zebd#xEWu**`@rd1DC$cf>;|C@Ew1#Psb3N^f6fp;oLC!VGyd$4b`iSCY2#+CeUuX1 zE+^~oBe=}qCfNE(I9FaWNea2)xrlq~Eh$gZh7#xWBW3Ow4q}C(t2c>yg5IrkL~U*m z$dEVreqa?M99s%#3w!Rg86-(VqrGhz1m4=W${kc6j-biwxt32ps}>hrtV~B!#H&TM z(3bEP0T=xo$iqd%|4;=aN1}9v;;nMWyX>Z8VTK3uw4(lzaKS*~3Y7KV9eblESpX ze^<}yFQxTaYp(!Kcflkn!HQJZwJg<7oO`W2)8Wk}s9<*SxI&-dn5q@$>tOuuv_9O7 zjPbLWhp2x*)WS}mB~)rc4ry1mJ54IOs$e_ek!#*;SWoj&di`!c%*pGnf$KP0o=UMuJz zcfEw4a}Y!3)#3(*)Ej?BU&Wmknn{f-6nq9v(QZ5M*yJVqgpO0dY|m=9eM5(TeV%N@ zib0G(D#+;YFiSAi=6l}cghq5|6tPNI%e{%7^mE(|ISxh-CMK{|tB{Mudrm_Xe%L?C z>YlYt^-47z`kphoY~V;6NpgP{4u-}}zH5GV*#t*Fq2(Yf&A07ijOso{P06S06r&^y zc$wy2;u7%z`&!L~a$O@T-Q6SLXE2Mw{4Mf>YQ?xxQkIzd-38|9L*a+uHUHuYWz1|` z`j_0gUXe{mWU6%f58Rk&!~IJ>zD$kAyqx1vhQcwJpPd9IcWB)cc>08+Xrrvu;96$1 zx2#zs;_coja<`i0oD24gPT=NdQwhDy5BcYDut7)K5i^e_p%HiN_*9{fh+>Wv{PKx> zLxmN$+Ur4iA8>VryxN$z>;`+X3?6g+!{n4=#lXU!f!WD>&1fGSA)mthII{Cqi+gS)h_0EKZ1#wcx1)ED`{_iIc}%*R;hR708f<$8 zrvzav6a6Y1SY1{xu>@F%#^C(9{7KpH7-1uflcHl8-SbSg`WhXOEXd310vb6!Y4t_f z01eJM_l*DvazA&03@LhA?ko+uq7Foo;|q+@>f3_|7&C~OS%^gUWTRB~FS+Yj(kh>?hLp(c9KrV)XT{ab`$c^{nIe77 z_~UyB7fUIa&DzfcKfC^o%#E|mzE++*w@jI}L|wEV7b6Wo_i5KDXAKUcu9~It476SK zIqzJTt^k;cOa3C%WQsmXBo*sc4Va?dCYx3)vD*YC9)3@dR2|IkxluzqS z2giS}5KwY^h;sO&xF`k-XzhwT`Y=5uso43uJxKI-dYk<&ge@LOChz4aEDG=B{LYjz zZ;Erxi%Am~#B^p}+b{Ac8XBlLt2g1?=_8Mb6&i)m?d3Z6K+8OR1gh-(u{t6|GiD&& z?BI>oqO7$8B|?4XHbZ@1-sH$D9l6hrj3a$jH6Ui~09@~$b@zFny}>W;nMmq6wa#2- zLX@YeXpG15T5@X(N#9+Hu3y}J&!U-;?UjX*9$(J>z;&5&!n!3#dEz}hwsz_y74_!1?8t=J>F_`z1Z5RXIS$W+d5Mpp?Jf)sqy zzk#!lpOde#38hWwM{J)Q6Z3$3&Lz*X_BONpYtuK>lhy^9JFKSgXRE;ajed42SxbcB zbgR1uv#`Z?K8-s~&GeP8qb_e`hgmXfPELkK8#mrs=*;r@nX*M%PgVDFpYc1*vKAj3 zc#zKMwlO{k7aY9ig4VQhGC;<6MF!6EKb3KWlOwH%oGgu%ZTHZLg&MOYgtdvJmpOmF zS68cS@W!~p@YOyEg|;|D$ODul>iE;IOB}we)iF=<$f#1mi3- zj`Wyt%b7MpB^%fLiJwWX?ecAGUJDK{V@d%{pS_lwUfKV0jxpTdCSmkg-8!ZpeL)gT zyq5<1gB?43l~kCR>{FCgbN&g)$DbXL-tjUwac}==ei?eDvp#4ewDk9tSOD90i0nx6 z5?{_5HHl(nTUoTGBG0RsEq1H%h8*9QZf3+XVB-K=mAa+cw+Ep|JG!-u9jYY3< zhVe6WhilK{^x2F_ZM(jFUMnQ!T`tw)-nq>PwC6kZxjMTIDh=~@bF+QytX{n-u0WHz z$t=S%gN%^3BQcc&+O=-JP0S9moy6sv+yf7VhFBH7hXfEI*NCM9_363HL!c@yL! z8>}9E#)pFM`6+{7GwnXw#43`6C)T+^uA z{7ThdROaa2S@vmbZfz_jZm9>|We9ECwcktGu3+Mu;jdu(Y-66rTMbj5yC2e269S2I zS;uAJSE(VE<7CSYngL`q)z71_LuBt)HdT`61P}gLHb8JqnQI zI;JB|?Qer^WXQMNbbN!At68Kn>ehXJ_W);G&FFly`*a)-r3yZ#Xv?<=(#-6eHWrcw zuVpm&SG4fZbPIJ9tKMf^31=*DLq?pBA&RVse!tS&o5x*=$%5|;qeWisDzACWMY38R ztRYj%GDbb9I8Bpk`Ww?W7yS~anMPxsGq6&c2Nd5XXZK=hSWvWo6b)vl#2FX2XPJ}M zZ||(XX6>iX6`fTyEQ*zLp(TyrU9N7TJ((^47FsxYPE58-Qw*aKv>64mbS%V|>+1sA zQ#G*}8BLAYg2{1;1_mPaXg+U*JtoH#CSi77l6)-+<*}}L`3NIeddJVs@m&O7QvaF{ z1k#}_2qwMK`e~DT>@uKtQad`9IgId7mU`J*8H;*{s%EAxe?R{U6ZXYWxA#zsf1`<_ zG=}y2Q^amd;dG?=35%JIdi1)!<4<&gNaG;FId%(iwkkVIsv6q#o7(5g z7Q*9Nt12~ljva`akPge`WW~}X^_(|CVj-6pQmgOASchfueu1+H z4HkzN(s_Z>y<6Rd1dd2QySj1vBc8)m8@8i%T@mSRY6LTEv(c>O%>EcB^S~ws!Y^Fm zMS>e&V-zyTpNYwk>f-xUngTJ6xp$DY)cG+_-GP^2BFHHN&;6}f_U)6fSjvJbw$R5$ z(s`x6F9(VV64-~|qDm@T9zEfo*fcSsw+`#dXPsbzQ3T{H>PhQZ91>;tKUHuLq%5Ek zCQbJJuz+GtmLk!ZAVbZn<;e>f$et-*bn9g%J)AH-b>~j>5!h6n{+;?>b5D5flxOHn z!AvyEa#mBvFrCR|Y-)@Q>Doh0rN+in*2*&kp|dWOXzYVLXXhOwtNd%uz34D^z3ia+ zj@uInzm&e@MoQrlVo0u$*_}Hz4aodydcKuUKl#VGnedY>E*Do(`|rKJcdsF5Px&X1 z9i(a=s2rpawdP&s{+gI(CAJM$Z#VXyKk4w2UhFye<=nMD7T6%Lz(Y(~e=Nmda%0jO zE{Hx8nSI?r;wrix%sJN{pO>jt(Rr3B)mWjSX#+$O^C@m1!?O6(S~0c^FTbb#!(cQ$Sm z&H?Bx*M5BJ&*A4mE)3bp*G7>knM^tJ0?;N)28+YXGn^BwT8}{QkfHox!-JzRzRB%I z?|wVb#{195^XgMDHol62;(1Lq;09Cx>sxc2h6R)gPe1=%_qv4z`R%q{#L_2gI#oX- zil4u{?2WNX$C9abR4Kjt4~Mol))Ff+y}BHbB!rWj|5W(WYIqty(O|AB;v0ndKS%w{ z486be+oIf2Wx7p6UgH8a25z#*&3d>Mqk~Ae#S5J6lI_Zhucc2lH5yO5srMEh(fP|d zbV}RU;NGEvN3>lk(wsS`(Ni~&py0+##Z++z(EjGo6-B8zYU+0PXJC6jb6>REH?j(h zj^FKrLHF#uQ#jjiA?O-%-V|HkqQ(}(*VpwIuy6EP(8dCUBQ2 z$cRquU?-rQcOzn7q^LH|jy_xLsCfup>w2@Re(hLqsE(;BffFGJ6bA=$j0nhQwXd+C za>F(pdEKlxc*zhs z`gZx!K;4?f8v?0x?LWEd^(y+>pVJPX3kHHM+KUx`ud+Cvc+G$E_-l>%V>+7WmMGHx z0=2jTdfCr(F1fcS0!^{&S=hRTTBdWWmA5_|ghuwuud(vo{>Wl$&GqG_V9&*ubB5LDrsvj0CG^HlpC1`OcHLrc zH5MyVKrDj5&KU6gW4s2U2h zf6B@^zG(r1C~6A-i!Z=qW#wTGt+fnSVpP;_AcMxVAGY)U*~Fz3|g0_3ViT@5mQoon6b%ZmbrIjb|}9 z@qSGqt~H^$WJA*xCubClyup4-_r)ZyoPJ}6-J^@Am-n7gJnP|`e+W=NG<*E`D4x@w zD%SKlc08G9GpsK6A!iDhiw)1_EFcU<5Z{J1#r+b9*=baF0Y!rj;l_e@10I z=V9^3wW}m$b|IVN2;q9oTk~t11ro?QqWv5BZ9f5N+yfj63sn#=N}Gy|tZO*SZZtzE zM1#BPki}LG&yzcHbtf1;hZm7hY(KX-X#d{yqJB~M_eeZy@pIekKqJ$epHLPkQ1`Qx z-SnM)%G}t?;B~}fehoZb0(^PKQf(iN*KKOAc5&MVhU(;O(RNBFysDiwQ(othZqX7w zPq5>uG+U9!Phw8fYDJ&L=;`PWZsquA>#9%3`L+@x~0>XL(h>`2RUn|4Ou&KeRFf#s7(V*z8ZW42+vQVU;!9g zCrf3zwt*?#oHYrrxdT{H|N9)N65&hYQ=Mdd)5_^oF|a7thG!dVNu(g*d|zbr^I98` z?-CZ7qXLx8^E40w-7RO2l|dI3HG!(Y!$#jF=+-_%&zifo{=6#t=~U!^9HZ#}+=;(a zqTIpPjQt%pO&XhtESKVa6vGk{9=0uIUSp>$r8Yl=#?Ychrpu6lTvmbjg4T+)vy*7s z;G7@{-~`zhe_a{77BL1~k$axZ$B&#*%mNS|F$*DGRzs0ON8z3%lquB2I^}CCOE60c?a2GG{_jFSU)eW$1O!>av;$w zO82mYF`a0}E#H)okrf~b7WdF67S4dY;1^fDsSlGu#7q6E`MpJZw*;=(we_|1@J8x5 zCCig1d}F{dg+|_E?IFMsn`IbM_{6CYu!}1hMu7Y!Xm7=(lxgxsJBK{dDn@jYRt1r| zkv;n3Kj#}lUCx+J>S?{~g@e0i>l}OptJc|YafJ|p7yBZ=LWeQVCDs(&e5^q)8SSA0 z;C#LC_*#!%Tx^Hz@Fxu0{MfB#KWdB=YT&yVm20NFhu?y%w)*YUlm~#UIHq&yn!T5A z{!mZ3>OwYf%q9@fO3ef^lXTy;V#qWUmI5UJ9QIv(IUgDP%TRynHHN&1@-sNTwBTZR zm;~-o5GQ;3p^bl(UG9&H9uXn~Pw;d)x zG>G4=g$8$b9su|QHzEDYW}P)1FLQs+TUdmD26?^sC|{e%boagA4)e-S62wJ}+0*&z z&d-z7tFK|<)NZXij;JibbX3Ba<70waO+~)q8wBFiPAlw_Zule~xmMF6d7pci`7mal zeAGL1MRQwpYM@kTE4F8Tg$p50&J8=bmeE0Q5hc-$Su-Y3BNnqMW}*LhMtMF8@?1h zlZ+Yjx!ZwIJZeZ;{H=$%M`>bv)eFs+Ncnz}b`RGSfbPt0a+e=iMB>-H~eeJ@$)s-hW~0*Wr?7B$gj zGrhO$zRq|3Xd{bC>C65|?eWFdGWbgr07atAGV($H!yW^ocd=PtcK1Fh+RO!#Jqg0HIm_Ea)X5F) z32Rs?P~($|_Y-d($XY2yrnF`^!D~KO6f})UNgALDgs;B&CjAJ|11c$tp^*Ne@51l5*E4$jY`V#Mvfjq$5)+XFM?2d^UNyD9(;dYiGeOUDCg)-?zXpEX8rBwh<} za=w-zvppSMsMxo*7_rh)F){%vB+&j{p6XH!Pdo~yfl`NCRKGB{7}hRwYIyE6l1?Rz z&ap9h_1C`RQX+P&io7tRr{V=irj=RUetR=jw1F zE`{}xnIf2@-(RBu8Fvs;1Ljg)0(v1HC4tr>{yp3!vB*W;hje1kSvcD9M)Sva;CQ~_ z5H?YSzS<8g)jBT+)bP4nGC`*wDYJ&3(!a0pZs4)#$a;Ndr%i~fZw}laUFs)2tG+em zq-YDYb>Z2GbjUAn_zvK2xbm1X0Xh{bPR@kugEmpP_RG~H@aTs#@uF7E z=;-wCK{JJ{>jEdDBOW|(etb^pN5hPlH?&ouc){+FaH3#uQrfo-gK-!`OlVuNCwK)} zSP9smUnv`A>>4R%eZRGyu^;HY){MD7QM^x7^h2uNT=a-4xM_TAa0bf4lE?3O+!Ts) zi()}DINLMG?pJ4j)DS9i62Q?T5GA)rL~cNy+7uC6c2exTvmXYR9{C^1(h(R!{Ibb~ z*;Xn3su~UCGIIv-)UbYgq3W)V6~ha_1OS#b6%aO6xlqijA|Ivbgp5pVsw|R?H(P<@ z6-7?^m^;7IQji%DpSOSjWn{IB^TnfyE@xSN9)b#;Pv@(8zWW5bUS0T!teJm(lBZ=F z0uG@-t^3i~v7@$rO_Cqgx1Y(0iY3#HE_5D?UUaM}n9))lm~1VMeJ+_^o5cMC1MKNT z6L5Hy%~W|KtmwsC{!bYAh9wHM^m-WF=fO2-5COLlpl};W0B>JZL#RdNS-ctCp=J}pZiA<9~-ZqkaY7f0(B|L(=Ip&5hve}#kl zs84LDsriYItaZJ%qUGp0Yf8qqke{k(HBEeM4j8UvPheJmYl}p+F(($L2CG@FeOEE1 z_yKfnt-}kHGBm~vjbwseV}7bmINe6@8jEgSrP)BT^8MWd;X_ZrO^@%@coy371FUo- z#c6!v)3(1E9z*N)YTE2CxybQK|fZlPD(2ztAOOt2@ySUM~@i=Lkf~@3~JXuUN zbGG?V{GvzvNW76$J}+hbS%_H1WmY3f>$Tm#fUtpDORHm-v!Jrff$H&J?lYBXCm(_= zx#IrJ4^xg!(JCTst@9UY9SV0CfzefceEafjZ>~oZz=*tzb(n>OFEo3=JiQ-A^dEeZ zFEFlruwkffa^W;knW+K_85mB|vk3i}I%xFH>Lsotk>oMc+gVp*9nL_=W3*^~RsRE~ z#>Mz;Yzf$#^?b2OYF@@&*^^OH@@1e+L!VJ^_lN?_G&Q@kc-g6Ac#Si2gQ*)nIb|L+ zF*6|zmDhVulmQg+PX(`KW>Tyk@+p9U3SI?p!tn4gMjLE%C>`K}KgR&zF0Wr70+8Jr z?^C2~=J~Wq?BP~kEYAJ@`85M8tNB`Yw5f%KBJ_=BswG$dLqX|Y-Q0U3tY5>!W-G&jZ;DpTJVfDG!Hj!Ml*UjvdEI0#ir{Hz{fjM2oAgJeG|il>X-AzFW8)8jLuzTH}d4=cO2vH z(A*tx6LtF#rm23nsUEhUUEzPm)H&oTJhap9q@aK!0NRf)>9nuEjxXus++GQz+yoxo z2j?dB1AnNf%q817idx8lvgSAzEOW~R0HX_+^qF~WJ-=R(!ArDaR1#a4)8(AHZJs>q z@Sy@8Z^P}}^O%ser?b${4cJtq0*0=GEwpMXwKqH5#ggCBFb)U^}jgp?v}zKlxUvPUd=l)eDzS<=nfBgj$p)MR5exvwt4y z54{HG_2Y7*_U|NOt3XM7|A=)X;4(ZM5Q2Zz)7IPU;tD|^4(lFK6Uz^BFT%9Fp+OPYby?Sn+{uBTiJz$p(zI5;bUWCYG&Hc*mWTS zKvh}Bb2l(__}%+y^wWw!8qEben7f(6Q{bElsBLy>D#^M~I^jwIz}|1swX3xho>6Ve z^`k%3(|zFg@G`~Ex}HZ|%p*j2Kk>&~y%x{U7)E(oi(G9Peuw+AYrRW{me z-id*}Zq2@Pu9xnt8~ZktT}jG(&1OVns~AVPa|+Ha9g2W2Qj6(AKcrycl@q*L3i%xJ z3t#*h`?0BG#y7c=7si_bJ7rB@34SR{t)*dUVfIS`*sq?k$M!C3J#*3?Gf!5o+{DZ{y^jxS z0zfpz!%jK1KYV3H_OsK45>R_SR5V>mXQL}Xv521{-*}}(-aSCB05}ivcNC)$tA<}3 zDZnZE-zRSqVpM^}XnfWO#1^RRw@(#!YoAR>?7xzBdB1hAVL2k@HzICqsic>f zDrFak>eKY##H~702b)lRBZ{OU1!_j_SS{z!QT4y=csRA>1gfss8c#l^*Om}#jogrQ zuP!T8Ljbbw{+m&Ipt8*r_E7=7rt0)HVf)j1B$C|7q2*v@;*yGEaW}tPPWMkh zkmtaRln$yS+uc1m@er31;geATy`%c}g7YKb;67u29rKD9ADFJ!(uL~4)#(9 zUSh?yJH2{U_Ase0R*}@eFH-|53%u=we}4G#e?J3E*~3c-Q%7J;JpA>=g8=@IOZ~5p zWqj-8CwTZygTTWA3U~SUJtw#LhuQzXyVQSw@duN?DUBFcZiY*U1Ny z@$&Klm=8wh=9nI23yjMt{Qs}p$xu)WnCMsGPrACg#s_Qv-BZJ>0$)e6XHSaC$~Kyp zZtcg~L;*fIp`+e+Hyeg`G}q?`2!Ig8bRe09ikn|xg=MWBdR_p2 z`*00RL~zIK)xSAP0Y3}}pjptZvn4(~P!u|R0{DRegJ98HE0j!cB!hwfrP%{y{P1Ee z78QW(wz7{u3+n)26T(7g($n+>pf?VH33cjv{52;4MJ?G!*DiJP07#J_e+LY5A|4Glk& zlL>5jbc<_Tw0{Vsll-dhOZeZOjxT)y49SnAB<^%Ov=$yFO$B$J~8mP zzH`#_p1YwlxAs3B`M#Yt6>O3>Dy^?iJ_q2B4lf?Su6kO4hCZl^TE4GN*YDpbr>CbK zZM-}@&da|aRaaNjGcc@-exlqkp}Zz4(I_+Co2?bP-mL+a#{(a^`{c1XN9x7wRBN(p zaR?Cza1#IPEB^0KL#`mJ#MB5Mc1c0^T_eDUO%b|V4#qtKh-;oH@jkjdt8bJ4^a-7t zn_K8|J)sn6i5la=_-|b0u7H65tH*|eK(EVx%T9a{IPCg=(e6W{|0DWRv#>I_zM5)_ zk;)@JOvuX0LfQ^733}|W4+|c2ZaC+RT84Vq34Kz=Z@oLMSaWWamX$RD=$pudy}7tk zL7%!y>J@!g@lsBp+%}W>v^B?_Yq6rkNO(zKZ|@s6w%F!_*7O8A#Td_+llnMX6^pSc z)>G(#U+l&}3a*1rmHVEK|9SHg_PzeqOhI=E=eEU~&&^@as3q5f(sjfRsTn4;AJPM% zH$R2f`pdf`w)^vNa2XkK7}5u~N3tAc91%9@(eVq#)evO29CVS}EGk!?EO zc>!1Vd;lXLKpsHkLt3R3C7;go^4XKntarC|`Qa19(uU1i%E~X7t|sfJn?2Zk&i6Mq z(;YSengnsFqmfRX_*7ID8cg({N{yn-}~z& zMKK%%IC2L-;BT~}Q>yJZ?UX03Bb-;bG&vfXL4TAPsm& zu>`TgYxX!$P%dZ11uJHCZ#XL(7z~Gr-h3e;AyEMp3`m)nyaRzi@2)_7rmFz8SG+&( zBVY|bh`zsHM&vjZw(Q=l3M%mGLL5H=RQaiNK>GK{on5kRo4m-LwVM;LD9wv!mB2dK zw!m|A02W;Lx@wd(=|urkuW? zCN}&S_+gHldmtb1u;vL^^?G9iZcHfrPDb%JcaPrQ+8>FW79^syMU{6s~^Sw8i?1Z3DAj4RSh z>d?Y|$jV zOA)Z>bQY_Zcmn$S3)nxi?zXe?v!cI11Z1VIhgrGOg1fKj%K-XDwR zP3?qTj|1ZYyy`DpB)>{ZOaS8xEIdH(b|%YYfrTf!;`kG24WO!|^aEL{M*!rG0Ii@L zJpk6JL(5_4N%Q9;Pay~dq6ha=RK^#%zl0qR7~aJ{5ONeXY8G~jS2d#7oMr%zl8l5z@DX4(=_xOMqbEj1Vg0JX zJUKsS0^A18vxB7ylzu!#p`6{NHbX0GYZZJ+g_+)})=r+Bxn_+S@yr>i8k zx3-AxFwlZKV1WLQdAia1u`~kA9&$5{F5t20=^`=#SLw^hwhK%E>dgqGw<2=s$6)cq zCBuMem=76c#5dc#dRVr9PsSCQ3JMA$MlIDe%Jul)X2dp3go&I`6=Y|BU?;+g7}!t& z7N)@ii1XL*WJ|T*wfobCb;N@)!k5IBJg%+qlYg*WamaFXaLy+dNwvh+ucqZJrmO!kZvULkAWf99y(pK zvEilHGoYa`QioewQL}I2>s7eS?v8e}mw6T74p$%=`tGDO{>k`}_f|3~Yj)M}2f& z>u~@I`E=@mbk(tW;ip{T%DFbg@}=S3QHs}APFUrP?ae^j4JMGrSuRa71d;%0{}I|Q zz^#@Ch5jS{A4=z~0Z_4k!t}-ZpX4bU;yruvk5^=@K-P(mOsh=efgJ)MBw6oE*gExo zP^_CY$w&f#wvGSh8n|5|BBD2ff<70|>)_S}Ksyvb$|!$<+~(1?VnCX%12oCOZ%4Ny z76=13v~0SADGa=QJQV^cW^ba^sE&EMDY&w;r*=kBhl zpz?F6_jFKgcRt}{t3c8_Pf#~?#~Gd2T_qMZvkxXH$o2RC_zg51cxJ8LLEG9BBRj z_y5l_^V=NYum5rQVF|dO9uCZ`N%MfE`kk83Xa78}|EJ#0C%Xt3B=i5iNe7?k2yAIF zEm*Ur=XzXqFVM(ezkV^4b{)~L|LF}Z%MSq4_D|p$Nlr==CF<@2oszfrYnWWs3&nfY z?`?qv@p<4$FD_A0Qc}Ha4WMw{ntik(*N9X?p>OK_-C8m85x_qSnR$&ntj7&gadVCAII@)%Bld zp08;GwK^I8JhuO*46N4{13Nw0>vpm=sL!vN1Zjr=!(Jxqg86$pMZl4S|Y$=3{-yr z+kPiboJhF4tMt$Q|KIPBhuTSmYG3ph6j`!2a}~xiuk2yTvGV QEdvmEy85}Sb4q9e0MNG;r2qf` diff --git a/_images/81dad44127e8d30b02fd3247a16d19e7987f368803a920a10b3d4666a7fd7653.png b/_images/81dad44127e8d30b02fd3247a16d19e7987f368803a920a10b3d4666a7fd7653.png new file mode 100644 index 0000000000000000000000000000000000000000..7f091731314574435523abd5e23319a229a3f2f1 GIT binary patch literal 40271 zcmb?@1z1&U*X^cDI;BBE0VxHfQ$Rrwq@+`kZjg`=q+3EIq!dKD8>9qOKxw2!Kw2b} zx^va!W98}jm=%9k$B^zVFo_Uy|2PmPIg6V0Mm?kfZ_<1(|J{bWya z6mO!!{{GMsaEvSb{ULhC_TukfzL!n4Bqu%l5yefk`+FHHj#Y>Fe2S-x#jd)&ki&TuJ#kzlg$$NbN?cEAyvhW{P zGaWlAVPW~a0zDkrKJPZB8U$=dc)l$z4trh{`uRzG)3p5w;Vy$>&H%}D-`B5(%6Xb_ z<*R0S7FO2m$qsm0haT5{Nt|@G(9+V^fcoL1@Hfil|BhjW_uTa zhOzPfgm&V$ih{yW96V*V0c*VSOD(R4J$zHn`bE{v@&V&^iq6hu?Gq}>$}%+$Q?nZz z8>Pa9@6MiYDVxZs- z=h0R>F^XsZR4rYM5=FwuNEEMZN!U@rK1Say+1k1~**wiG-4f%2)smLAA5W)4eK)>}M$ro4!z($t zy0$M5=B$$`!MtQ=v%WQ~`%JZ(uaU!bM2{&OP*WrFO7)pJ_mvkPojg556-;yH z_L-AzYUt@%k1E>Oa6KVnz`uY0{=vb)tn}$`VpWbrBZi9csOynbEL>dpH}l9IJ$mG| zl9v+q;)Mb4s~P`O21)N<0s2KxA|nZ~32B4LIn}gi{N26xH=>2@CuV2c9xsnqaKcDT zdo2*60*p(#KRmlK*!a-(A_abMaIon_<%5CM-Rkv1Z$71H+7OOg&!0}-zrG)tauW4c zzY1SNL*w>Eim}QEiR%)`8}nQBQoysx6zMDsDluKZckf&KVKINZ zz4R%)om^ca@Z|W=V(wkY*49=ljGNsJo!4sV1CuMxLN}WaiKL{Ys)Z9061FC6OU%B#k53h{rGn)W63X<5 zCiBssOHwBX7L7+g`%=Z+x%Sq^9}8G?jdeEJPYVB98z-lY#)e?fA->u8xUo^<*ZL&& z;ods8XBuoUd0APs@BNvvX6;YRIwL4kC4H*xkKs#kLgWG&CB4VY{a`k^d|R%wlGeMg z-b+z{2^~uIO1kwcF(F|fOCG18?UO18`TYF+?BZewvD5*o$$R(RyAXoyPHK~}^`*QN z<99;^cLs|LM0kuFX>yceyWVIQB7>AOXia_iQugue+FI29v=8y=;moPi&u=%}Hm8r1 zamIT;ed=lr#2{s0h=$dbrJgCp|Kg+9w|J$kHXJ6?t=YDNZ;9&sZp*iQe+??pNckRI zZb}&*uePV-P|t{(YY(;9p6~R)`_poI>_{)_f{DC;%gHX^(cYwE>NRKc=!vNoe`&!h zSGEV_iM92+P5GI5d5Qc_k3~+7H~kmBs7rU&IxjfET)WiB9Q|I(OuhPmEW>Z_F04~VPOt!A~U`hP$Zg~ns!!ZW@hLpGgvs)<*TD51o$Cx zUh7q(c2-|rt5aJFK8s6CwBY`-x*OEc(7=E11C7D>SeZpgKmdw`o4e0p=7M4r$=9!6 zF^hD#af6u8oflLHi->q5IE_U>^)#}E0wtSud#vd2Xr~_w71Yww@^a96&75yCX55ZS zztWneqq7t5Ud6bMdf_ns+}xbp>B+IZ6$}9dYK$R=8TTEmEH1By566=VhHa45q|JC| z+#*q#t@@fYtRog49@XW~d68RxR!ayVb8sZyfPg>^18XvF^S+AR87Q zUUr$2ogEJqtX-%xK0FC~(deP9Y#_u?-o}IZNRQpmU%p_8h=?@&{Jftn2CIV%h1-{W zxq|z2qhS-XOpk|+oqars&!Acr#e4(-vbwx?x-b5M5KQ!BY-B8ad?gbWM>D4s2i|CN8`e6t=?MECIMGBa9>K^~ zmw$XAa)FPpe}v!?F8WB3L1^1!9C;EBuFM{)!LsZ1=RWZcuIn5b)yj;{Uu z`EyO`#hdv{hYyR48mJr`9F}KVTBepr$jLDvMBB|YGoVVX`lukI&K11QC@pd|%Q-FR!twhRJ3>pGt=*+CtruE?Dnqdc2hTdwbRFH=aFv_P(#L zo!Z1#W8?Fp=4got4yy6w&+1scJ9oX?O3?R@FDzOE(7gVvyoOj(V-VADwEzzfub{N? zmlp(e0u+s?i)Ehu($Z3Udwb4jzog>6j~_z{3vHtV4bnR9=~zp21GgG zqvPZ49?r~{wY6i(cAlHlQw|1snh!k3eIH0zNtaaI?`M^kW@>J3rrc=x<$BSN@1}J7 zi>cl+G@0ACNxr$%8I8kaI{z3da4DOiPrMKk8me1g{HDK>Yh`8Sn%gqT_YcqRtT(?_ zeHKJ4eMC~IQzQp-xAp!)?Ckjc%&KG6WE)5Xb?XMzc6dcPksm&&9vmKy9$dQ_n^(U8 zNG+QVFj&0&4YmaQJ}lW%14b#|YcK?%Z{PCN*4ECBn)r9#QJ2Ij82V{jP`SSk_bj>^ zXg^xafP#zBdwP1tYMn1Yh7ERK9hs}>mufd~Y_jq!*(vHUn%aKaRcG3U4hctBuVzhh zKgr1HxU)-35T(PKeD+x{UBZJ==S_L4L#1-}Ud4GB z7`-YR?T}TKNghAG=EIE!eDb=_{ngcJX=z+h1@@EG2Y_j~zkdJDr^KZ>{(d59cTa~x zsleb^6=JOC#iX0RR=&LM^+uIC&B-C~q~+)*fw1Frl&`nb|63u$V7j3S9R@uY^rG6Ly5b$ z=Gx8pX|~2JV$G%-AErwAd8bRg$-i5155?0|DHLAu%7)GnnU`swO|#XJqOH9>Mfih- zES!XrG9)*b4VKK@Tqsj>p5AjI+b1vr*#oqgg z!kRztur#w9082;@gjH4dF3Y`+;XvhqZ%D+?_v&PSEcQbXv zO}OYO>(&u_Yv2>#A*RNMELd?GR@i`0Z8CW@0NqKpBW)P~0A}hEQ zb4X#87wkQNgO@d~{LkIPhi#!;LZUg*We#mEI2J{zKLYh$FarUPPQiFr+$qYe(d+*U^j zRg!t?@@O3PzPk3CeS9uNBmGFC+HoevVXD5(Qg9A7lU~I=LP$5nZa;?bWEM9U0oNk= z8^OVy+$D|Z5M}aIQnF#)dEBru8n3dYzDj#5I$;f#m>ED+ub(}fgXLB#PoF-Wh0(3> zJFl(tLf9UFS}3w5@k7uv{r1kIh7LyXpvtS4gc2}+`W%xK{grzk0(1(ie5#!*e*e(cFMS%-FLij%*w`3w%R8UVru&8apH=wGhTmu-kpT*du-REt1OulESUf3G z1Dqt_xnam-P<;-*HV6u`n>TyyImb~04W5oLSU9drpE?uRRc`C);rjdgyRA>`CTI2> z!R9poTI&q=z;+X3P>i9!Yn4!>Q#c5~bZw?(#=)uLbB7ok8zx|h8VUjwa(e**fdk0y z+g)^yGF(a7HxfC#_Qvn8W2gE+ZXuA%Sg1o`KFDy7 zpN1b0%{e;Zw`YYjD~<(H#=C_=y!enNTG8B&d|Iq^u=C#)J#0D!g=oysyHIDp@n8E- zRXzM4_#ygi%}Xuv;$yAHI<29hAyUkX(<8M%RMxoY`1trFG&Hznsea}Pgtu~TltXBF z5*HWuhv+dv8oXyIHmnPR(2o4KO~D}BI4>_Ril-&Y(8y?2l(v2n(3jnG<9Q71a{;Ox zg_}-c%T(Kj95x4DjJoPMgUoDf9ebyjNriZ#IeK`T6uu4*C*2TEvbai{rCBih<43Rb zvH~GZzg6~=*d^zW+f>TgPr^kWlKewwDCey76sxbE)U>XA(Q@tvly#iT>4_q%K*>LQXc2y1KL?MaA|Pm5#WDKo1$2if}-az#(1G;v*^;K3D7BphX zp*qFKZ&N>_U+q-1q@;~A%2!g0N4t9+`x^!PN3N2`VD!&5ISiL7Y?@o>yq1)6a#(nE zhOCPDDZRYEiS{*fLNW<_4Jq86-=EFA7BM7YZ5bY_HY4`XhMO_pn?DVYh&;o}wT*BV zD8#*V_j+xrc5vi)@^5ZYF&fo-X${6Bf_N$w36kafkR1$c|Pr@H~E*A4=Y|@Yn zus<%SaJ^t=PfpA_@hk&Z#|C$JZ`+4rDnHZxF5s#6aJ|c;zx-LKQ+braVzuDhq%fL8 zaz}%G9NmO|qNC$|j_I>U^Muz|a93reV(GXOLZVLT{jS@=D83n!v-p7%j}TM$ogL?2 zHjMC!ESFno9{lbcbNQ(_&tQG4QT)ln+2&Wq*5u2*fg@)lxgiMA?MJ*m%k>l|bvL~I z$|TAkDo#J2V=I+>pYyVjipl%FAg4oGyhy#E|42aCfZXwZ2u1n}J+h6%=iV$4H$;%t zrqKjD%`L^bm~C6i>{jjmt8b>8A$HagDy5R5J*UBSxlff5?23nYvN;-j`A5%Pj|rd?EoOC%j&*6MYN}^KCwLXOYN3qbQVhy3Umo zo0u`GwN)lefz@uTG;6}%V{I%jhCy5|>-NisJKy!n%&*sp6%-U8F??=u5sQ3yrf5)6d}0Y&yq&d({8X{7WulD(xtK`a20`Di~9Ot(CnUFW(hLH*X&T zjuNS;nb>ruM=?n=BDmh% zoYmNC4hs_#6JZcgzW&p8fM zV+SxJwub)WZ^`jYvd{N@Y_3flVF$F~5~&)Z6) zCS&3zV@HD#>#HbK&LD2i;PTkxm)Ir0?gvTJ4X@J7N5rrcr%tqp#^l*-9fqH?6U&Gx zeApQ#o&4m$;=%3Sj^*KZbQqHdIi4zx`IM@)E1zcTREM^em{w1j{Fp!@*N28+k2p5o3c)iyfE#=zsl{e>i5<3K~+?)UK*xa~Yoj($S{ z=u!6*%6s`d&EcN1+wC=gi~bO0wLKtsdCPXzhIC84nkKa3`umX=+uc2@2Mgca-z%WA zN? z+!7W913XjNW!tN?2(<|S6>xRa1?M~MW>;y;pi=*}Im0CQ>}_-Vg8@w0)}BgqJF)n{ znb`ZYnlV&Lt_s(lW8{A$`xU#@8MlWPX8!}PAa}%qn@l@=Nl>G`d#BbrPuH4Eqg`w1 zMs-Vzw4k8iS}*(tIT4?ev#;VI20A)a^$&D8p+JNpr?Ao}L=G)PPNUe6BXOHrSUW-p68mz!at=j+u2Uj$46M ziYkge^q=o{@ihsftrk-+x3I8?kBc+at%i5%=<1qCZh(U4+c(PwvHPFWWcBp)j6#(Z zYGi@G;Tj;+2z2nWmrpWmG`l^CsxADs%W&2SiI*Q1>ydJr zMg94;Vqw7B#ODo!8AK_p&!0a#{r+h+`Dbg(siV8w;^(&>gcc5Z{J6~bx69;01L`F} zT)mb@lCRV=V?}|fR*gr z9rG8UKIHpuK2pLt@H&Z)F&0k|B6-~Qi9G^6Y%r1T&n`po1?#J{&>(;sEfXVCLlo*V z0Hj{aS)pE;cO-B2^L05Y6`Mi)x%SM%;x@J8ebFb1ICDK}EY^#gnz5vxr(*uK&W>7= z^UWH#6{$J1eIB>GAmiJ!i=g%qzV70U_DIT&a+N5LweWWAVuNO>uP*)s#QmOBQ;E+~ zxDH$=JJ*qLLP!8@r8m??M@Ia|S-3}>#gr$ipE@QU>&AKg5Q{PX*gaVIJC)8K-&y0t zOOS(R>bZ|R>-Xhv$fa)k2!P$a31eZB%k<~^AC`vOv4o)|X6u36*V2sxW?~H6;XPPd zZ-sY@V=siKnqJ-38TI@NUy{t>T2Dg0`&eBb#NDY5x18pmW7`rLw(*6QAh1BCI}>85WmU4JrS05@LI^iwUbN=timZ~U9scX z%ll?(a+B!Zi8p$z2kyJAPb^{hZiSn1XW0ye^pG0TG&$PZ*U`6~8f0=8S4%f$wT~)K z@r%Fz*jmp}Iq>Lb2YA#D7kcITF&jRm=ZQwp$PZ!|D;s|FuW9^cjs%Tg8$>-a`@3Qf z`7CzA-6l;RI66v%gid0aDx}*tUGQ{sJ`(G3xXX6C4-=?CuD8>2_Hcp$XKiopPLIE!e#G=mWv$gi-4pJ9tAiHO%gFOAYm-+V# z@dt}rLPwRGf@+3e#u%|iI#fbPjpVi!RQVgzDgPNq?Omv;t; zC%xVhwHvDGEUFZ_FT%di{_*|*-#cP;cf#wj->286kQQgQ0n#en5RDHkPQ8*#cp_dZ z1le=0+b_j=*@aO!UAg-e`3mly)4MR3%JMt7M~34KXW3h*8@cW-R~?1AM>*RUfOH2B zW+;z*m${HN01@TDdi5@neqT2PXWv(0QXczz-LNT4CFaYj7VdkJWLB$FCl5}o)>={{ zFLPcgU9`kTpL&W+VY?X4h1QQy)j&6bHM@ZVUM^eksURMNgRTXEwrejm0+{xV+WJoo zI}zYkxqFU^GeZ^v1plS@-k6@dxDXcR`A~XB+?@)(l~zll;RxiRb0P6zuKVd zB=F!fTjSO{f`f%v>E2F^6DN1<25QLPy(#HQmF0)Xvs%t^QQ zL+DlY{b-E7+jo92iCNHk4o&W}Nfgsr?dt?68y1LxGg5m}Zq*0P;g}EtYIGFLajESn zFG5FzMMhQ(bMx?YK&E)i*K$PW*mCS)-wxHgr(ie@arJihWBViL%j%&JsmwnHaw~uQ zVz!u}qF1*>Hi6S%=CyPiMgc{g2Mobk2Op~GnP4I91!z`#3 z4v%=^D!9@8@N?Vd)-9eL)-~x&zH9)kBiqI)pw|STvpiX@m?NvKjEjAa2BoVzT92DV z%MbkcWrOOM@I-MvUg5mMnPw=!ZdrW~^<4QWTbR_lcg?Q|8z(c*;Sc15h-56&1UDD? zGN=61Fcn$&2hJL=P(D`};)l0h-`tFiiaOU&4!_mb*CRcD9Ad@}Ae087g)!-!*b@v4 zy*Ut>&=ikTW?P)lzDNNL@Woy$!SnuRck&K)WIZDfpC8UQe{W8`Qi+MD^riHBD;QUr=$KC;0+yxG^yytJw7-bgLYuB-rW{y%TRKR z0Z9~6As2zffVZx=yp~kv>urSxzX!A}t$!VSFNs9{fm8_}klRu|l&LNBk`zUf%hcPE z8y;q6ET7WF?;EJyxPfe&xs{dhfq~nq0Fj}VL-;i`6!gQof$-zEpSX(DUX#`K?LcOe zFfkFMpr4jyWc5l|}4R-e( z_1X34*8|eM#Ohs`IXwczLD1k}x19~p)zOY%b;R|$x45M#(cdL)G-mE#hnc!7+JYzrFE z+ftl1r7^F+FPst?ca{K*dHvp$+i`s}2(XNWvKzCnk*!pKrF@6$v;4V*hlY|TCMvL9 z4wvUasBpzT=<5K-dqRkyt(iT~4t{4Aj(PtSQ+rKqYW(ifhtp$<`kJk_1%}7`%%7Rm zTw)%`A_4R@@Gq=3rj}#^fTgkkQvIw_w3F~4lxDiw2}ytKAqTm5zva8TES;^wC&;VR zKk<>{p&Ist`G>%bi3D!K)E76O+^>H!_pI0q;eRquZ*>0gFP^^{Lu5;A+zGgj^xHiVzItf+>|#p=R#GvMZG|O{j8xHU_~EaM7e+4>j6D(~zb}Zt zjpS6*o%0HzwF~ikfnK#nGC55A2&`IGLsHyO*d;5nb2iigvg_z^C0FKS$yW|`w}jTD zGDF&Re>xr9WSowX4j;Q`eD>{8_yI2>a*m-FMLNZWy!Sq?2oQp?-)ndo&?42Eu8Z5jv6t8*=?tO}t*GfD-z_LmBuM6P?sI%a=8SUQ z|AvBs<(G*W$|5GW&Y@bJYtFYGL&*(Hz!Q~m{Uc{q4F9zE0ftJylCPy^Dv>a2R#bCvLsbaG6v#e>>7?ck!9?d~*mq83(evkn{QDHW!Y-D$NFYSAFK1C~X;>ba5D}C8I+`gLD za}nA7Z0R50ojwu`^k{QfW||8{(>SqSSvrR#n>hsG4vQl5=hmnHr|zYdKeg({4B65Z z0{aVzO!aAzIl2f{C`AQS?`?HTY=u8r{<%zILfgR#AI_F7EhlpEHc2LY9WBJz`j*R+VJU~*&)!A&K%^= zu)HT_Y)}IeGgy)aUb6ATG&euQZO0=k(Ty4@Q4~C}bo0&;R}r?tN--5Cxc2N-Tg!vnG7JWBk6^hh8PLg_S&r36SF4{5-meiOD$zF{E8rMF`P=7OzY% z7%IBdu^OzAX@g9WN(u|{9%xR<_ye@6$ivhusIxc>s<}PnBu&(1>Z*UN8=rNl zcykL`)Qmc-8EYV@t8|=U1i@dMMXaQb{lAbQlE*;u6qlMBMs4hc20sAUFi>ZjB7QS; zG0%-C=(9FLKZ=Im6s49Sfmfw(beIDeUa=DhySQa$35vzY=xyDBw-&@legf1DpR6oQ zZVDqf6_~=2(?oof_1tRI#^uJrraF;&;oYE$AZiC>tE6kJo{C}rukd3vn-A#YJSN}j zm7zml|C-kpv-jTG-ANKyVWi}d0bwZWN`l>v+Ki94?XJ!ZEE=wfy$EUfWHo1PBlXFc zuVZ{Q1j+Sr5!Zn-i7B2lUY-~t7cgVI-SZ5gqBW-ScTNQnP1?Wkq}k`(8%Yj{nVH0> ztzW<1R>l~Ygc_IBAjB9d;4hqv4l5AgI)jrM?K*>XJZJ-=Lxkz_Q~bXJ@4f#*Tec)8 z>;Y6bgji>G-Oyud*RoS{-efzRTyxS1?7D0fa)h^+>Avl`=SDsyd-TFkvROod&>;O( zH~xQsEXSo2Izc4}kF`8fL$@Nyb?>6bSF6 zbB=@f5d?~*+ zSy8W$y>3&9k-?vf4&ILhknft!Go-Igjf9++`+X(u`RjH-N@ysct|8A) zCTtL8Z8+)ntnTn5d7f8em93$)lmvEu#pTzzxw9Y%fkmfaZG92p*@lL+e4($83fNxg zwg6m>G;Kkp@fhifLz_J;Hnye;nI}Y{i^vmZ=jVfd{c=MEfWEbE+5t9c{kP3m9k5By zg%hEpD4>=M^>RCzT6e!14 zP;%CR_165q!J+oCo9F@1)kjBxpw_;o#IgA|c8+578~ZQ_uS5%P{qj&vI@3R0(TsC&h5Ho0Jr{usC-x8 zFw8hD8pmO-6^cU1ho8S+LOuIUh*0g-1G_KK zo=vNL)fR3`3-v}$G(R6DD~91SAS87#95E-5ugRm;3*^7{OY_j%?DSoJ`B zf7Ic?MF-vop&&U+7AF%nZGU&xJ}v6Zv%3t~&0$p0mFa%vPtP)r?N5MRf}lSdCi*P*^_N)@`U|*s=8(IX#4QLoIDTr>8kQ%joA(h;Ix2i-0qX!~uiM zP1{_p;Ftm+Vf}p}3P_A0{1XGv=(sf;j6MY*A4nGIc&>D0Myy;EMRV((VK1+oi+2_~ znmS)=$XhwX51-{s%)3^8p{J?wT^uzIc=0*eOJvtsk=#+}orE^-Pp5h7C73fIMARRa zA0L0C!+K*i=zB9SO)$!!u7_vVrkDzuJ(dbw8ip1s|5y)ou8<8vHg!u8UR);(o|}@VtDsF!phw+04%;^saFTF!dv&jFEty zk&cF|Xf0_l_GzpXbRVl_M?I#8UMXW@){C+X-3j66>udUk+xs=~MkQp;QQ zk0sMc<~5!Ni$kv(i?52Fl{C=_h)=%Iw*262{wTX_B=c|zN|t)rcSn|aAQT_PrGEZ;QBt?FBgTOK;C-OuBE@>Ao;Nj27y0tWceZnet^Qj7|UCQthkJA?)-CeORDAg9HCYo)ZLKej>hc!At~%+XpCH< z62mTD$!h7K_AprLYiu0C_sX}rt^E7i6{zPJ&W6}#AeT(wsA%6tH?PA|5#$!nLc9^} z#a+`I)fM=^Mg%3x@p)EVtFUp=sKsY>mE|vzK@SPi)~s3jbZScb)D3Lns&fu% zE?#O&)PBS?T%klL|R}C{+#9EuFNdQ#~u14U;r$3*bNWlZ~DV)?UnW(zuzG ztRlKhM>=Tq*U~e13tqz4=;@Zb2D(#0b@Mon%pE(0;*l_kBD9D47k;`Wvq`Gk%4B?c zWK=v7;9EqB^@j{4lhxd@_hEa2EF5*eZs@t2L4xCw;12K2ONL2;@P_%6BOQij4@C`3 z@^;oVI9cockSYXZ^ND&q<;EPmI4_I0Jronq)25R?pC|ja8ufnkd{&v-j=Q3Dgd>lw zo5&9e3ObG3hC!f_kwxMEVowfkdLB6QW`QkHkKCb8>vD=*UYrbj3jC70oFbDKC&yl) zI_!d%_ANnhH}`fAyHmp5-gL`kYM+VlW#hkoCy2;w=3b)Qvx{%@cdLV#WlYSUbUk;X zrbu~NTHBEvkdjROz0Mkgw$b!yaxo0|*ui@b? zb^PlNk6tMXG{@F6&5}~TzmdDGe9o($gXBy)MXtaa&n}vDW7go9a$Wm#O6u)gk#Y8! zkUwPBgdD4V2~oC$?2E~fzc{R;IjoCz-4#_HmJJ%d^1Jej{oc2CdbE8bSj@gGi~S?dk-RslR;zoX{4&1;B&B5@6%?7{Ef<4M1N|CY@e zlzIJyMMQ*}BeCF}7$}#EE2n<%ELlM1w%9A;IDIZDVn$4}^Do0r5|8oUQRlR4%kyAv z>3(|Yj$I!JvsqYJkct-3^$7^p)13!h-*`C|$T2*}@*XI-E&WT?SMm%07OPDvR0Vq= z*i}?~Vsuwg5gRU>`}PepTmd~?LDP)E-~aUHjgeLu5RnAa)rZk zufJsF=H@oHvt%3mn;cD7!z6N4DA;E6sjWzG3j3h}7Adge{189)cbEP@Y7Z{md1VTk zfaReAa>Uqxn49wR-wRK8-NMAio(CB;u-k#kY;VdPpk^t9#)3ZM@AbmIW3l@6N&8Km znv!)7p&}D+@wOyxT`zH2${(v=Ybm3*B|O{?2^S@bKMG5v*uKh2>)SnlU;g)twXkZa zJLgC-(Lnc#d+yspdl+ptgc|57$z)3T+4be^Uyr31CF9n4E2FPZ3yNbq114xPf$Uf{ zL*hKRHx-?n_>=ie9DIDKQHbCdoEl!MMKy6588OSt)^-z>1z%0AwMiopa=ci>2xg0~ zWoXr#{wJ~bfAg%(N%mg6x<&uZvzjIJEs{ib?lNGLP6fe} zg8iWQ=SdtWV6|#LN}nFxv1$M_(A(j~xf%=TN_kpJd;X^{^YcrN)|U5{rdxQpw!BBz z`_NbXFgrr%>3)UOg55>`M211CQw|YTU+HjK-uPBh%4J3{PtAV+{^aP$_mQpIP{2Ry zl3c^0+xGTy#>?9m`CY%OHju7_=g-ak?b&c-cg39PWC2$y5WUOzKQYOompU&fR@w~X zU)HZ|g=WGkXlLuOVx|6E1oz-p2f6x?=S2m#NJJ$&-Q;sYP>>89P3_>+Srunv&DLL7 zo_Fi#zH~{}(vl4n;6&i8>geb&g(_|9=g&8r17Z18h(s~0!eGV3V57jX(mpv!Cn_qsOGiPfaao|}6}IDl*Nb&I%TiY#e8vO; zKg83{X1_zb)nd>DzkJC&=>lJ-dFRfi!m@&;d&80d=@bL~LtZ8cFA|PKJP07}^g^WZ z7Ra4T^7C;)^4|?TK>fKt!-cwM8f#Hk4k89Iq#b(!#CPBtYH5!r)3EYlBo`uz5leA( zaoGZ`_d+CJb1k_UIjJag#cj3_Mhv9abTH=DA*<3yTk?oe4IEKdSub2Dvl|x#VYlz` z?kFk%goh0ot3VRK)|`$X3x7ZF(Qm<8FMe&_aAb8ClJmtAa4pV*l&IxS7To?E+R($^>+L_T%%CPZU-{(0$2(lgdpNT(9Y?au#gYlvT5k+$_h=ig3LJ8hyRJK|Pj1h}x|V)NbIZLqmb%fPk7;0k$y-xFko7eWEW! zl22WSn_)mFkv8jnAUO6s4 z-b^c*#l6ssaRQxX?_4Iq>Y~f6M6p_oM%x-ShviH=VlkpWOFa-4GHGGd^(QUw>93 zL1F2j6>?j?2BM~Nqn-p;64-Y_8XFrCBmMNlB?d%o+uUB8^XOm>hey9M|F2V^0jVPE zUrX$Nbsbo7!zCan+`MgrP(+BOE^*CZpyIwdH0!~sRH3#H+F|&P-h>fP6qMfy3ao(& ztOc9=%R~^~!F`QHcz~%Eh#7PLX~ag4!{=N)#zzNcYZFxjM)hui;Kl}GdK+v~6F=y$ zIia9(h1NXJ=y#YxZRp~`IKkw#$JM;zMV#evNah$DDxOb^=K=TKW<`pp4}F+Axq z`0GRVvo@z1sKHCc3}E1;X2Ad$dl0{>hdYcM7Ca8f_sjs6Bi{KJFX$9w83~JYYzsNb z!f%6M1d{cHIfIamR!HV!W?V3ubs;dx3gn{T9)(uEhvYt3?HO}5FX0mq*joYo>H@zx zn!36=c;ygJPs_=l!YL`P2F^p!om_`;L7tV@sGb?Dd5|I%!8_j9`9S!EfaA0TCJv5# zf!2H=4r6Pb>yq8757_M?p@WOF$KwN>Vo+98@?!@vEq8?@SqufO_)x@!1pcZ{*frbm zRu=Fk$j*gx3dG!h1i!lV!W^+3iMr%YRTt`(JP8fO0naxIb^iSMTJWda-6#dW(j&0; zMKOp|0r*SgxP^}L{k@ptwV0%fWHm%laoyQjAcj#g0-kq%<#lEk^hut8^=%d$`5j=; z#dLIZM1k)q)_w*|ng{R{2=$6;J^H<~4g9MG5c3CX75#|B_yXWm@V!X=!_|&gPl59r ziR+Nqz}G@7f{hP~qRx$Lp@eh@xc`tT%@j(+@D5V%-0Es1Vm(J~O?l4D zg-{#IK#bvc_<9W`Q*rO(zg_Q7Ky)$Di##|$gs@I?WY!TU**cB5+cFBgwy0L9%m%>X z4vw)oaGdiE*$9oiz55unD&|x5?p`3$;XY1-dq=?MvcVviD)CT|*SIkZJ^;#a42aN+ zKU%;<2^-^}-~Z$>d{5))$)VTxXZK4zH;qxPFC3f0;V%uFyeXOdevzWa=HG6d&7k5< zX4d*p-<^*l=qMI;_D&rtDk=^X337x1cf+IOdO$D1kQqMe2!l3O7LqEY>uSL!W4_vk z1_J0+l_fVX3`L@`7DC!me);@vA>PyKi=3xKSgp<$Y-@C*ChO8p{GD)EA#c}7PVz!O@) zlmLDZv&5g}oS>AH6r*SQMO27cYf&IcQaD_}JaPy0QdIBWy+c+sZb{2YJu_~Qso*nA zPft%XP|8-XBPx_EVCCiDoDL+F5bV$Rw+v)oComX?Z=2eGdTbuSa7^R zVGV?Tv;f$sB`%YS3JSR1P18EfUfbqq0ZwaU0tVx7`am$89pciho7fLWk%ZAQ8S|!6m*8rzb(#w*vOCzC2fT&<^^+Lo^(b$*~tcgUeF6V!N7n9#> z%M>>#0Q|X=+<-)&ph8^0sMe_|1~`qQ6V8or6y3mK^lIJs`3=Ai$ZGtLoWaWbl$%d7 z1FWhG5HS&Rb9{QbePkJ69b$A3m(^=iubTK~yuKh`W9JwrQlexHuh{Ij{Nb@j%ez z{yGDyvbgm0Xz*NguW&VbpT~BY;V@s>p8l$1vic1sI8j`VT)h8WR&!!zkPl4fStVx08p5 zB5Vg_{!~->v%Ve=R7FpMuNl z4l8!YFo5FA4$u8T!W3j2BsqXit=b*pG>&QATN4t@qfP%)Zt8tFtpV+;m%pRO%4c>I z(hFYi&C@KHqNcQ(`XnGef3}65gzj6ClcFWXT;s(Jn)(S1A|!@_%fGF&6AQvFcZTmW!No}w(y{-v}90PKi0yB^lbRrHN5FSe%ro?=~go4yYaGuB7WJE*#!lh`} zwjeA(%f+P*D@~n3_W!$1>*}dcW7>WHlO3i>$t{rv(eP%58rKgo2fk2}=FgqUGYJrb zGpw32_+ljc{;y?T+31uR{}Hx0m)(PvHI!wV5&sMA9= z3xc7{OkB9g5cgqtxJuD^M9Y2w@dkr=MAB}mo^pD6+Ip&92((e|<8AsY-iTKzIK)(9RkQ?S0@av;i|A zI&9z0AH#)Z!1sV#<|UY9t9Qx5G2xt^Ysl#efQ?forLJ80BAf}Ephk^11u1@lm|Lx{ zqL;EgK&>%8Sj2@Y)_Uaad8vb0j0PnOZHoK$`NKc-J126Kh?jT00jS`@8mM7^3;VYf zIXeZEm*Z31n-J)sm|8#%&e7M`FPh(g>Knk$7PR!Tb8|a%nr(*P7&L!lD5c-|m@|HSo1Z86qbAT0|6e26K=c^s2 zBEXD{0)Gd_EC~7#i!M0T;h>mzh@1_aLz6G9;5AS@u@STa=9pl;2al7TO0#2<9uJ}} zLn<$TE(plQ#mAQegD6tx>FVktXO~nth;VRVgUh)Ste;^}p9F`7PGTDsD%;ud0C-49 zOtgat0~_f1f?2PXG>I zI)Y*b*}jMg+_2G$6d?s55jy;S69{<~DI9=>l!fRz2WPgxVHl&!e^Epz$i@E-(?4$D zXfESqs8S$0go2Y{b}7@p>wcymHXk1!yx4fgB|;Qm(=RfeBK;8LbOeC@h_DV^$_TYN z_QP%C>v_cP3wqbm2VXcKxd6BG)gyrr1;C*TUX34d3g0cqgbNXmH!=s{EuPYRfv|L4 z(R8738z8gJPB!5f2Rl52m|H7^VEe}}&_u{qy*A!2z^g>)m{6M$Zb?HK{K6II+WNxD|Ya4rx;Vnm$+ zdQ$80a&}N8{@{{;_708^)b28qs(VvTnAdbj_ z?WR|0O$yL3E-lS)PFfJSOJMv$OG@}oHcwB8Wo2b+-B!rHPED<{!p)JNY%vYaeM`^v z2}*!jU9d$^dWsH&czA8d(LD&mdRZ4Sy6KggqN!y{5k6D>zU%};g#2vahMMp?@Y5iK z`LET{%`UYLbNG`O)^>r@3uLyS+5}fL`q9zRz^hwyjXR&j`JbuA5XJtzKL69TBbRN+ z*>K{)84r5+`#0jHr*v=y6B*(d>X+C#2P5GGhiD9wWvtmx9DGXchbQ5*{26@;giQSlKPV|EzaVR`I93eqaD(dcFgXB<4)0-0pzzc^X9H9WXG_b)jC|9%@1LU&c z*G1ipl@&aQW8L)UglNHj#Fc~(Xzl3ne{gQPCBOXYCLIH>zWAto;|7$AvM`9>Tz(rd zT^TGQ!9;`A1i%9Rmn=A=-ZUoVsPR%~3R>XhOokt<_Lc{Z3+QGNTrJ$Lf}ry2um4u9LM7}Q=f>qn|Yx45Bu>nF_9eN zGk{Xe$8D%Q&ASh##BP*>;VcGDY(c^Va#9KqDR9z?CEdAo2;Lsg{6Qg(9K?Xor+^dW zf#EXt+to%?)BpMwQCyt+IX>5K`H!sH%~n87pyU1U08FjDNu6C?^HA3m7yfIB|DbR2 z_`6MfZvKr>&X8h5tHo`GE>6~JC7p*1Ld9#iJaDYT0qhF=(Eo0tg;q*CoUO(%!g$t^ zgkAg^$@*|ck1Rxpjf3XhMq$cjMCWC;h+ZPAm5H?VR zW%mk0p@Iv_$qn}%?f0<1uY-9IIeD(y-hhpbZLEkI6Aej@=;-LPP>}-bg`90sC6)n( zKiEn*a3CB68swn7dmq5&KB%|ok-}%v1<)I6=vm0i1$SN}DY*I(JOYwG;gB;MN_DHV zW+$i}B;^Z-=V8j;!Er&WR;Tt8m9mhMwtzhwU3uiOJ`n=DX8{gGsY%Mq%{3i(DGO3= zV&tF=h;T?r*NPlUWbcEV3!<<8e4Ub<+`^y+V6(*T&>b3akN?u!djLhXt?QzVAc|r_ z5e2h=NK`}+6vada70Fp7XOWyl6crQ$sU?acSwIO*4n_n7CFiI}Xu(7f5P9El?{n_n zRr|ej>%Ci#TD8azd3Cl6k)^LNnsv74E~-JMjAE_r5EuOpsoLI#_|gA7U>c8>(L-hZk~*NSwws){XwS zy#4S}zRt60CAJ#Qt!IHd?8V9=LPtbu{EcIKx9`1rJ7cNGPxF{V9&8A)kOr(sdKhHL zaNu30b`ObSIQoq+5k=78|x@1Dy%No@;{0 zvTxtNKgUy?Ub=3^9F^vP%ji0?AL25u0S~Yb7sgI28B4w`-(l;7r%&P-NW9f`b#>uo z=vULE>rfHe!^i%WPDAgICY=d*lL_0`a8Kz$U%x*5V5vq1d~)yV8JuuRr5V8E$5#Z8pA!0_C>9p(VV1i zIoMGpdEs=GO+*Kv7ZwOq*)yYoSmSoBqG%U7@euPT1aBmrtTA z?{OJb$2Dx7TAG4BZv!hc0WbvxpS*Ad9b;&gW!)b4DM;Np2JEkE6))uD%crhN-D+Bw*fp^jzT;_>Mof2Yc+Q~4PpLg`Ob?YfZ2L>3+*fk^L! zhD}{JKfA5^&0-2FG%g8tY_*J!g-EdYTZxJ+fbbP7rPKrk2j|s#d3rv=jEtM3p3wmc zL0X+Z+#njAS%K4FkkCV674tk@yTmadBhA+366vD{YzS%a*9h%~J`cUyOHkgn3RAH( z%mwS#t?L51apn7K};`8i$ ztaM~#{0w4;hle@8=BuNGQwRzGyackymo{0Y<`O}k?QNu25~gKe2(QL9{I5`GWPbu$jT$eW!=0>h>9v!$^x+CZ~zf-Y{&oRxZxq_9~(2U zI+*WO=ni0tWFQu2x3#r7-D&B_HoIxC%2#F6Ved9!9U__}+pJ2I`nh5#BuVcJWL+o~ z7W+0Nfc}}xy3}mlD}ew{Z0?9lWan)s4UmMxmQ17al~6tF*&=8N88o@ga8DgV^NDu% zdS}oQVlX6M(|1wohzke9JyHXn>PcACZ9-5W8DJnT#HN*NqtpZ$UNy0Y1Zn|L?unbp)NqBH-rbUG%goT9{g6 zS2aZ9gGiHELlw!l`#GAP^#~ved7MdxC~67|=*tSyN)ZAL9Qij)MhO6*NE!lUq(?y4 zw2aOhA{~4_{@s^&59yPoJfs&$XEA166=Lsn*gIE^YlwgDIh%e$!4t!kWV9C z?ITF0EBeCu861Hp$eggpx+z7m^HSgCB?R~&!JNP~NYp0)WHUV@ef?W2xWtW7bZ#FO zJ4iZDjB3O;Psl>QL^;XBhqr|8I`szSd(Eazw_s1&DLnp$=Z}t#&VfsRN(}VK%mg(k z@>+>ai;Qch4t>9BH;=vY4kjZ83}+Q25dpzpBwN?AF)28s4)%D0Pb2CNX^N|`byec0 zei`Qi*ewwyX5~+KS9fJlO$46Cqs(}8_3HKOub~2(5MWLUxQx82Dosdh1DuPRJjDWkCJGF1R6*%p9DE_g#_cgK_fT1IHbro!Mvn#KUi~cV&dRl4j zwHxDx|78fY;ag~3&%v=1K7Ty%D>oX`RfF!_sYIkG(l;*vj3sJem@kiFp<${J=;Fn9 zVqL$&)P$Yvre4oj|B05u2(Qh0}s3#e^SwDRwk7;Xfz(!&)NZsJlkGS38 z&U_K_DJ3NG73s|r7IE*1Tntl+S2bD|f(@f@Z*h-?mf#kb#5j%3w!%qd5&;-adUj1s z1g3rZbkF_T&j+*1J0T}vf#JR%kYV}9IaOH7@IdI9`5SPR=o9xD1{g`RB_nBpENgiW zn3ju_eDgovk;($hlehugY%k^S1fKz1FN5kcO>cew@E_VW@@8}a_t(phKT0g7h;R^7 z3BLa3F8^J|prrp&FZc=n+hNYbaUrp>D^Mda_}4!iyNygfv_u)%bqEq8A$`}!^F^@< z<0bv7OpA8T*`z?aeGMSM!6zglmwY*&ibSa)jRQ(l*LR=ys1AVKU~}`0{b~dBo~$Z3 ze==;*Vh*=G+qrJpViJo>9=Cnr%XNJbbw!FZ5dErKP~Tjn;;;QG}gB^ikI@eEBu z;r04V#~K{OdOSvYQFs9R`!A#MJco;d#uFr$@!PxGfoVS-vq0Whv%MRF7l=t0+ZpzK zvbiWKD%#R3A@s&)+`fBvs^)j~YyZ8jb9IHvW=93UWY7$!dNDVO*|e~tqWi>-TVTJ! zVmn08TRj~`#bu-*0sJDea*_~Bl3>s~ZVjjH46P#6^LbnVtdBQ%6baa5f`N!86&Dxh z4#fVM#rrLrq&?S>P+Z`nV;y#wyCVd3{K3PV!w<3q9|o_f-@AA3IJY(;s;@rN;NTOz z{5skLASzn`JU(&ef+zIo73Sy0dx!*pG!4 z@8iewS~QKU?5n$|FMUwv5oSBE_h30qwWKNyS`MT((n>MC>#izK3p;B8l5O`nc{!2i!R0OPjU7c zc|QYe&?fI|wDiP><1cWT1PmVBy}J!7f4j7Fw{-`6Lq(JM3QZ=|66yu^=zYn4g3Q)cXs+QOY8%fUj*?eaeuet* z6ddwzShxw;zZcoe#ZsUnpF_A1-%1y-v*@e13;;WGf}NdRW9)+KXj4_D?Z0N@pj$lq z@gu~1n@9pD!rU|p3|BK@gWCbP7|N|DPj5dr{=0oayn$A_?9E)JJiMTXq@@K6%JEQ; z1S2dOS~hlLxSwMVTzH|`f)xNLplOzEDoEa;c(H#{+fsv_lZY=sz z+e9{S=1oaGcl;~cYdWj9tq1?FD`UTeTdBZi^w5JSA0#lvS z^52}Hb)7c%u@Zz|T7L878z;hRwKgr( zURS%>8_BLF|N5KTy>8coWc91BNLcT_>s#H|>0lc_eS?HF0Q|>{jbHCYIb913XbFV~ zQb2W)jFW3CxHLbW{^TS{WOR^Q5WExLN0#R2x>!K04V4=aB8OoLefiaZ0FAaf?DP*C zNBFz%AQevZcF^s8xc$QIOq73hh--B8kj)N@8c*GM5)8P{;&%5em^1XB_)h>$`hel* zlu{GL?YmIfWM$HucWm26K|me2|PlfsC{5d#RZMpbUsW2%|=~ z)1k!srUxr3PAbUPrvGM&FTSF-<2jW&9Un;D2S29e04xW|oaYSre--m@U$6CJ#orvQ z{hY|jR7}i%;evjQ<^fih?CF4n(=_HFYPpWTvdMu+y${;DA2-b5%2dRvZ_^saG7_fNE^}fQ70v;d%|1XO3eLx{m;&wrRx;v5mzC12G zJb(lOV6%UT{|35KkM2%lBkL37KGukoKcQ)rC&k3Xr2SU5POA&~a_Y$ZIwT*;czQ|^ zxbxKE874gVsjkJOw(w>D+1y$FoKMKlEdVAWRHF(Qw z-ZiTF0u_Naiw8$xs<`Tzw)%7GvHMic{vLj@X_uqRk65^;4!Z6ot=btLQ+}l^C!a6* z*U-V_Nxp8e#UjhYwOE|Eyss$tuL#yJf~9TW3cY`J5n^O*#fP-+g*J|kno9D4si4pIUsq`#-T^Q-Mrm?C5d;W4q5G8=moxc#d@ z*OBaz7I7ZT$YGOJQ)5GL_UMjW*cBXq7Zk^;@gDVC=DzJkewWB&w$P2OKY}joPF{-0 ztAa3ttIH!#9-!*nsFBqDWE~8n-I6)s&uw-?kHR{5V1^M=aF35(D1mt0m0`HI1AD0Odk~`}ZB@buoeHr8~wenFX(e ztk|$8zS`9u7Y~&m<+35u7MPEAwkZo41(4})3__PAy&_!L&V{rJm}7{lit^ODng6Y+ zDA_rX)k?-AfNy&d{n@$DOq{ReoPsAh`v6)4bRr3_FVPk=P>|hA#zSBNYe;~dfWUGr z_1&O{ze7CM^6Ne+79?YoWSo+or&GGwsjy4@S35+=ByB6^un#8%nY|Q*4-XU$#l3_Q z?hZ;e84TC*Dg*U>nimV^5O4nxVwdxL(rYfbhuHlCvM(0C1ZV<{n}(!yHvkWU2IA7R z3~%oPQ$Mb^Dp;10f=M=S3&UN`@`eY2)xP43^v#w!x>Wk8bd6Qt4Cd8;%m1Q~9`Sgt zYx1wDO-WK0*@%4~1`lm2im}KKRun#Z)?t6tTuS{rxnNk^5GW>l2jFwIw{UQ9oJZLuM^hxMs;wi@ELM$4MAVLRCKge^+U@)g zuY+HE53z8O_iC0@eE#bPXgT1aZV~ zFt*-7js_zIECE=OU`*XRa5Dj~4|f&r1El(8JQ)q-zf5#cQeD+de+_L7NvPHHKnflX{a=wUYip9UJs3TY3C`Gzn-qbF1vL2ORP`xz_16BtW;pqw$_ z+soMMB2%Pl>S1-6HFjy_Yd?jQ0uH?$Y<=lWzcm*9j-g!I#o(*D$UBCz@gf{-JF*+B z^Zx23{%eR#R>J}$%z(Rl!SN++MQgD{_5ze5atNq_2(S&IB+?m|ySYs-%ZI?|C{XeX z09$bT1|p_Q(MUcqD&GQWN7h{SBtN*xqe-Je@R~JT*+ki&*eHN`NX5{B{4QQPbm~=GckD`c$k`>IMn&W zNfys>mxc?6z?tLD$#rHs(heTFldk0%z}p;){-0p(@+vBM#ac!DNOeOBb(bAao8O?} zC^qp=w2qWioJ_HnL^!`Q&*>fttZl!i9CeCN)Z}ECh`z^a+`D#Zxf_&VZ5LlF3sdHW4nIxZV8Q#XsSI6a zvF?(h&hY5kMab_s;8waCZb|Lrh|4XA8+DYFyIvzH_2odQS$=GO&L$O~m<(#n!A@c6 zA)j97tdCzk|EBg1{wnL*2$~{IWBz}8FqS-274hFvQ@gt$pKd|fj}`Mwe;)J0N00}u zW|$~spyfyAw*E(lh#TYPCeIKn$bZ#6?L+cp@S3T`M`g?(ZW+qt81Ob*A0nDcCpN)-z=HqRU$e~gK7bN|bIXsc@FrM97)1-6eD@O|aB5U^ZVaB<3k?RpHS5-0MY{l@-Xow(uAS7LB^NGAo;kmhEwGRN=qjQ?rX_O9 z4IZ5~@?Rb)5i<$0^HnVzup5yadzjtoAS85>HIIqQJ@*LOp2#6EPhuub`{U2|{e zQvXRaTFGhio+&na<(f>14e?^1C^K3Nfd%iR`jd)YsMz(Eu+F)xwog0Te#kydBiE-r zHFU}9o}a4a#V497(0E8=-!L^dAIQk>Ifh;kc>Xi+@Bo+*T5DA1-P*fWM!h$NT@874 za&R&i|G>tn<>XRuSLX(H%!0dS3Kb%z>^ssw_@PnT$SFOg|CZLND!gWAlTrZ8qfwse zYYaaRzO?X##@)49w z#W^lL`sO|AMiI_Ku2LkFVi>fvH~q0M^SjH{PWc5RyQXidDES>Xdg!9Ev6OmNHnJp@Z6`*89ZJVNV&JcU!Ez4a)U?h#Y~o9lZY}{RqPb1 zQ;~OQvs!jgb!p~j>ocZ%`v0aI)!Z>3O$&Pzn2)&w?^3N@r8IUBlJ8ANR|{5|D(pS| zC|~tvjR;pwSmcCE;PY%-(Xdp#BGpTcPF6egU3-iTjLZ%9G*1_waXY~#BPjHftv6S2 z_gOg;AB7CF#GeDps(BiDsyOvhb7a4ofY~BEf8tob+AS3`}gi zx=Rezlb$@9mDrU#Allg#bAZbGR3@?-p&wr>XdJ?P0+*L!p{)^dBAgjxqh*A;j0j5FTIfQJ*U`@Wz6+U_cig| zzvXvk`34t>BxbuA(at6*BQ@Jdk=Te>k=?Ww5oSeaiICyqylD+VMs6n=HK`0+LvxQn zGl|+7hQM5Zr%0YN8MZotyUXinW&Se_ue1b9pZOFrMU{u5sU3$5yr^>bV>U8DTr{FO z(Vdys3J+Oc*jtR25N}fNrc!$Z(;@hIcU)nCi~K;OX4w*b{`K42Ub1X&d3Ep|U3Sry z(NzDNA*CFjWO#QP^D#{X_&t0pYGhydHl&L)$a+uK;#(&plekJ6UHx}0nr*aXUHcJ(X~$zvuUALhUE+0M``d07#mL8*tL}{I z1u}f#pm+wm=o+isQmR?z5Jq24InKcSnsef9!J?7onF#Izu|V+=y13@O4R=#1k)bZS zu05&0OVq6lXuNL*t7EE9DTP`Db~#1v#k-6A^2HXjzcEBZK&t{@c0l614h=S;3l-_) zfCVDz0DtoN>AYsr#NO)4J6o@xc(IVdABx%Z?OS*e$|8f77kK1u#_YH<=JH9=Fko!1fRA6f;)=BTQpdBRELjfb`;7T0 z&K@!s4xiSSs$CMaKZ3hZn{n8|PGwWwm`N)! zP2>L@%TPF)X-4+96u9)GV5CUTzU;8C03V0==Py$JA3wSV>qAc`q=g_&kvP=Q^ zC#Q{(egHldf^6c1I}Ix?bRpz$2I2t0p%divkj!sNOr?f*h!6_hu^b92xbkl;dJgB% zB~t|7?^r;)RAV=d{IBhY50`0HvLkSed^birqR{~Z8E#~Y9uPgp0Q$ZYP@aO;yGD+4 zz-Wns3XuW2@cSo}DZIcf({*2~t-&(;D9XE z!2L-ofklV7zeg`T_Gf6Pz?s~}Howh{=eI%Z>b}eqe$j)2Uq3ThoZLCfZrQ}pVJj1T zK62FQ$wFhzioA_ts+_EE{0Ca@-9{0RefWL}IM z9|r=ua~6R9M`#t&8oB52%in{;6uAGMn*orWAf}XU&=w%F<^|vjbt`h%#xr!zlnSV= zh<(J#gSWEnZMPGwl0SUAUa<~$@4?_iu9(q>a$UCB+|N(y_=zv)tIn;n&`TcM8XONmhB>yp3qNf5n z2Hb;4U1@t^jO(z%5xC>^O%9@_0KrO*C!+mDnM*u=0%e8(hu@X}&5(4bIUj-6;sE&7 zL^=-L`-T(5I{#hP00z|B(KLJxz63&)5bMA%$VcKe)4$`yDdX|3LPt>Oj?qLqNRF1# z&B*-jOSFV=wgE^7qssu!6EfvDpyK)GMRDxWVxlUj90TeJwYmw=Z5lV%Q*U8>Jg7H@ zd(^~P9M-CT_fdW=yA}ZwV{G49RrY2MvhS28hbu_on1j>tB1ezPZm%;{kGmo8*yL9s zfB#ULUsgJsuW*FN5iK5X1NLuj8ZX{!u()WH4)_}vzAEBt{J~%1d;ZU7Cf#T=g_!M4 ze`?p%P{Mb`|5y}rh#_1q(&K$Jn-yJYr0zuIjT@U}wH_UB-CET1eSX}>Q$$@>nkjwv+4Kw36aOSIZ@f47vskF%-_-VJA7CgemHP< zkIcN5Z(O$%xvsgtO-wC=aC!hzR%k2w%uo3V1oa72U%A7#b$j+Au`}y-oYq`=B#_zg z?e${GRdqa)r#YRriF4Up+NQe2ubS&L+AFiX>0q;6HlhaN_h5H$6b8p={r{};NaJF; z1b_~1r3-`A?0UxxqTX5Ou^$P*d4&G{)_J|r8ZI%n&BdchBrmY3PGfr_&W&>)U?D2` z!H{Y4FoHxn37WvVbSs5`WOmb0m+%V_14D)LSJT^a0l}{tGm%Xs&$wt80`Jh8$zJS@ zmX#B!XAIaVbCj8N#)|Kq>d6bLoVTK!`LZG)T_kJ^gX7eeFL8j^#hDk>|J8>EO<<7DN?zvs2~IEjc;2#m(Z_trjl;>L}o*t7xC zbjW^Z_Cq|}Z>(Gp5_LjjOP-c5(ZdNAXeSDg{vObYGQs$Clf}qXVhx}sR~Hyp2`C=~ zPO_UzSyu1IEq^h(K=%*+T-D_bf>b-bs&hX2>Kb9=d(wR#YI!Eee`X1O#VF}m>5?Om z8D7vA^n4=+nn(e)fv6Uz!2*?|Cs%ydF{+|a5Cc*YGx$vtffqQcCTCNe_2NSsqV7@x zeW@WRrB|rB35Fk0#=(t3I7bP~~>(>>T z5fL=bzwwZ|Q-Nd^*|QMu60ZNEGM4BYiE$Zr3^@oGU;zKpQi}sdf!m?dyo8*91k)C|jbXMh8)(oj7E^Cl0)>Y5(A5lB{C|kg{StS! z)U=9?R4VXAv~1vsFL3lJs1N{H2fTmnp|pjx5UnE7lA!-2Z33Jy=YWQ7*k`UBKn+?2 zt)!vh;MSkIn<3>Thb-WJoq%8p?k&<9QJ!)omY~HV=bdfwnK*-kTa=^3Sg@mu<7Cov zURSk@jpMs5(wnU>K($R2*?G6==44YDHxt)mUex$_(M)PYDsP_m4!bA)rTa{F_kD3t zh&TAnK&2=Rd|^9nE(yhj^JeZ?(3EAuioc5Z)@Z006gg9t=>XReQ)cIfk^T=$ntAk5$HM$QpZ|9MPH|GtLK{238 zLDsSoFfCC>5?Qm``&m$k{t&alkAj0WTf^j6U)9_2Vrm=?yMM+eK%3g)cEFjsmoped zPsQ<7((37Qdrog=W2#APpV1Pk%I3}c?R}KfIBftH_n1Qzs!T<56kjp3&Jd#zORi14 znd6=dAC;FaKI)fLz*KmW*_1;kWE?k9vSsE_#u}s<{cx83WF=IC`X%4r1!8+PyB4PjXMc}81FMG!+o zVT#ppTyTA7Txjfn0ECOZZrRwtJp-cJCowQ-rwSNXSXv)I`5XJSW(~yVEU^1RwE~Sx zFT54R;#w^|_2db#;GA92H%6}=wNZ)4(q{YYZ8M->^h9B?Vvx;;yKkL5XnJ>f&ba2O zDy_9{l~Ga?DxQ2U#mR`%zLlKQIWTtr1s6=#wcMpBdX*Znx}E;zfGpAO95A3mFdK?D{F-#@uy`l5ec^;>&tl9oM|N zV&+9^C%d<QJVLzNIym5k-S4T?=bUY z!}ph!Q?IpH9=q3bb;ofQrsuQWcb;DbtQ5KOuwmp0ro?w4&Qz5$2Sd&3R}x7LTxLNH zlMM}%5~KW&C6a)XAcl!;>h0P!-Dj}J$?hz?88N;HWpw;x5?jrDod?yS6cA=RmMb=qnOFPwCvKfnow+V-4 z*@y-%U1nu9V5iVv_p{}MzA*c7;Wfv%=P28mA?K=PFx$l}(S`dFR}I@<(*~~28r!pL z*0Hges;zl!QX?uCkFG0iBT$Rrd+nx$Lxr|%c3uYAtiqZGY(f#bY-ZCRxD=e*Jz9-r z__K;uJUS?Y^k>h|K{m?mVo{_4;i$QFT<>UJ?_HQ{atq#hk7TzPN3Q3p1(^~rQn=Sa zAU|S6sYX%o=PcVk#di{(rxinIkCnb$IYg`C-hlux`PUL5&XFfrQ%{&Gv}F7geP+fV zuFd9|>Qd;em-;FsSLwCM+s6^JNEyVZWV1OY@~kB^=wyrCld-VfRP9!UCv+Z@xgXK= zz?vp%TlMSJH!DO|LwWQNCWied%=ewXzw(nIf9N5jT;+=*I&5F8LoM4?0x#Y->yd6! z8)pM5?Dom=#<=W`Ggc1SO!g^r7Z?c_ZWTNn5((Ln!mdS{b;4xO- z8mZ&$Qi*1~4A@lJw z=*<9u$w0ftPU!bHn<9j)c9gea<|~ws_3}wQua=Kpuw*C$=dKh z9n*QW{x`0PHB*x{w7}?ylkB#PVOs>Y9h>po(Pi0b%766s7Wo>HYx?Hdo!6I246HrM zbZ^68jbi7UU~M6nUjYg}{bnuBSt%p$r9y2V6`vWYF!7-Jb={Qkj8_UB{VmXZq$3Tt znku7bRJYLEQ@TV>qjzEJr7`<)nM|2uYD^hnArBELhsAPl)YyZXMx0MD zH<~^2hC7CpttPmg%=DFvfA+^jJHbdnQ9J zu~D}0!P>F-<%}{~ZHJQGDp_y!vOdzKuV7X3zs($=*wFn`cde(<$}xowAC|J@uDOqX z?XG3Jjr7W-mg#Gj&8i&}Jfi8wD>aV(%3nz;HJTYbN-NYx;byr;O(fqYkErst_=FIgd6v~UY z{f^F(3=GUtA-4LF`a){QgVh&;o%`v1=eidPjAFa>1$m!;H8&aKZV0qGw2Kq}OM(Ag zQ@w|u3!0qISQmcrl@w7BQc=5UFpEd9pCUY3qEbYJmjJ6rZ`ZqywY z$_XeE=XE3u1|kX^9*W@y^nQ?fEZ-ds<(#&9}sS@|#Z+bRpK^TX*kn`5^IMCdvQ zuXkS8vG1_u0SOL9ywkq5NESzuohNv4bq$R~SWIzHy(X+7V=X?wNb+zz+-7M{^$_*b zr{kf|;WeH29a`uXXkIw=I6-E~rVv^AkcHAWwkxgVBj!GvRPF4NVEefur?7AXUfj=q zxzf~A$Wg;1BCLV`Mv0mQRoB#LsHr`|Ok)kl`_akiuf18o(cwL_Qk0kf0O4OcjzQOe z`1mYDRtJvdYF4{(7r*p*B_Vz^NWpn)d+;Rdc{b_6IBI^^=ew-QbIiKJ$rdHA_t{Qy zxzSd3dX=60F!I(e>HNTtKwX<7cBL3X?^a^|` zilE6p6@dqe!{VS8RN@Zl0N)Pf-gxaHwDhBJ88<_;bI_n?&}p}jkP7~;5#Fuh+`8FW zPnh3QGBZ`-N-GW8%6N+Y@tFPBiT>}DS&>=M)$_xZu^)T$WSnz;%e!8@m;*t^6S#F} zs=v4v!vx~;t?#*TUOh@oa%1Ym#Kc{fsHmu>rlwEPnORxXPk&z4eq{U*F}?4(1>+6- z3A1gp^>+?dmN7hv9#oh@zRV}5!m!B5ji=)xBU7O&a83<2!u(xbSEmWI{;iamnVD{( zliBGRh>p@>@$J2o$(EdM~gJS=x)WyZ5-dmFY>h68-vPvPOE`<`#@!T5t`W_5dt#>FFA_ z2dgljiZIsS@!iBZxA=yA#F0J;VPRE_$7v}k-@U&WO^8sP zs?n$94pNpDKaCMK)YVPH42Gko6!--N)jd24IXOASAhc0vz%2_84Nb_-7FB23i+hfs)h5d%ez`t(-h)nP9j1tJmj+IA-O19pU(Q{m$$KBYPzi!WyV zsXOgdD+{jZx9Y7CSy~R4^4_;{Rb6UbG%S7FRL{71GX0aYq*;FFmD^LE$(<`p<+xNL zMU`RntqODK5>x3tbT;Yhu-mEIf{QbH?X_+R@jmSuUz+mqW_l@=b>lUQ;oU#CusF;` z2TQnqEm%06w9fjXXLjtv`=ZSQw)K}b{}NG&71waR-pxT>_%msL>U814Tw~Jh>CzwL zOHymShOH#}<|l4>y|@0BnLIYvO)Fa{xD@He)fv5YPmgP)INf=n*LU;R57U2UnkON& zC{c<0n)87-ZtC#Pqcy+s6D!`|zZ7}N`{;w0s~dn)v(wuuTeI|wPSr= zMq~Y&nA7EvD<3DgCn@ijkU+LhT|@a=&5`%imWk#+qv<{$I650G9z6Rq_l%|UFr11Z zU<+S1(83$mHtgKI$dB(th~4EXolyKyZdet2L4U`j@UE zFX8v}#4h}kKu`%I`00Oa%GlzwTg;^q9WP594Qxj}f zyuHo_2C>|!G@7Prat?={-{rR>&S}q{oq_&W%huNR@k@pe$N#w>xgoGYA;c5^0StrqmlW8u;u>@zd3xn(Y5bo&0kGvd4OYkh0IXNEgQ zuV26Xvavf0zaDlxu;YiEbj-iL3pYAW!2TJ~b6I{eIBvs@`L@xigv71WrW*5-?4fe;E zabu(1Wjf#E`RShAiw1k{RvVYjQoF3=8aKB>`BEyQhS=Eq%WZcu?2qWqUT|m$m^xYW z=ay+q{f}7NlX~8}uzF|Ctv~1AEpStw><5mrA?UWxsoaTvb70(Nrh*Y!_ z{JVC^p=Su`y7R55{~A{=MDX1gDmQzM<+V=0Yo3ywt=4Mb7Tet4zf9f8C<}=eu>X8d zmt6gNxJG6oVJqW?;TKLSQ#kE08KAQ!^pB6z($c~nJjjB%an9b}6(ViFMk6SalR!UN z0dMt$8A%Kof@58Up-fy6fp_k-VgvOT-b-0+@Gr0Vj|~x|vD;blO#csMK&An`W+LRw z)=+uOHa_^XZp4u?QSn44CoCc&$?I#W1i9Z20iGjZO&)&Rs6FTW4KK}4%3o)qbie6- zec?6PV6fI;I!?x?#8Wbi#i}kVEBp93@LfQCWu3iFB}XG_WlvrScR*uNsrx?z>?H%9oSEz$Tv<8rMB7fb&7;`nF; zXNZ};y(@p6A)W)o`$HIK6x1{|Bd)F7oYv9N@s@cprTaukaLP0iPwAP(<7%$1G+Xg# zc}`AF-i=73kph=sbaiD#LjL>)nFV7rqr=|6 zp6Uxzfv0Z#oWf9{%iVs%bH$1kXyY3pFYk;k|7UxTgGbVyJW)3^jDu}Y{p{Js%6p5J z2KchFvT9Bac68|0#vasy&f&|=rwkQp93sh}R;o360dh7AriiA>6NDy&8u7tQF#c6x@dSAJpO;#yGN8_aPkN$AhO5D#tb{y$23*}N1QI>$_HgIXy;1?2VhSmYWz})QX*Qb?~=;PK$9l7Mol)&6~ zhuqu=Gs<1tB&(=f?9@a=Und=uyYHu02yZrl<5|7>ps|Br9W+g@PJTU%S!0`s(0Y+1)Rs)CUAQyJG{19)**=4Mfo z!h=z!W>23va}TL7DR>fX5c|Ln2fLJ=Ck9{6BfceQkizfXdpIy)vR_Orx3dQc9~pQh zJ4C&Gl0s5g2E^+E`}b=g+Or7s+$5etr4V=lQlRzQcx}zocXxazb`m#c2siG$re+eh zP+hQzWZgm)C)J%H;SoodH&(Cj~-w8HP5CdF$js+dQ2Uy%5 zWck|JWw?Ir8MDcG@2p$v43HkSWpQejFA7 zO*6B^%+e`cbSx<}nz-?1)L4+@*K^HlIi=?(8at3mm^|l=&7}z9dGZ)8J(!8xcvxLs z{V~RM4NXnvFpsR9Ow_fbM=ulQS}^=1-Gk7U?8jC#|5>8E9`tW2mwmxQy}dCg5CAzE z0RuR9yR?$RRQ>kt2YfOMh4F+=csZKD#eZ^^3XhA+B%>|(+A?w9shkI?XqPZuE-y4N z=#Ic;NfdL0_58RFlu5(Q84XKpt3OEas{~rxBEAVtRp7FbU}Jd=2byW;Ec zR7|v;zhea%k%8jVQ?XKsfMtfGY%w-3(Zc;!vxwu^L@xOCzbe!Z3lPocWDmJ}}-h%zAA74O@R08T@Pn+xI|SwmA8m1g0I4v&uR9P#Y9h=_~%sr>S0 z?9}^_X&Ah5pDePA^r;woUhwlaU~YhBFsUqZL?FU9m{zyO!@+MAy_3E9ABb^Nx zXKZy>z3p8Q&m<};nhSGz@P@s|kbv9*wCl=fH{xkX9daS7@>>OC*^lkVuMKOJ&xVsQ zODt!Ut8^4k)QHn~oZuL2rQ6->l6!vX`%NQDj3kPuPPJ-i86;x$r(iXJ2Ol2jSq|6F zj@tWskGpkUxX!(smsb{^!<}TlJ9iSJ+q^tpiX=f{R!T1`Gfa>TZh)FJ3kpT1W&{j8 zAsLxuz4SYhU3yj8`TWkw4x21e@ruTa=wb**DMhF}>dvwhw?-9--O|zqyH3STbi2Q^ zK_&sGxb1z6AQRA`@}bn?4mTmI>0CRi3=%TUHeB1{{q3khfg_3QYUo|~w6EIy|1+|FT40p3N;+4$=!Gx&xe6y$Ph=i5 H_W!>Cz8|_? literal 0 HcmV?d00001 diff --git a/_images/90342aa5b58ee60ebadcab3b6acc21e84cd1fb288829dcd33ae39e51b101796c.png b/_images/90342aa5b58ee60ebadcab3b6acc21e84cd1fb288829dcd33ae39e51b101796c.png new file mode 100644 index 0000000000000000000000000000000000000000..080b4de2159ccaa37cea96e6a6ee9227e1d68dbf GIT binary patch literal 101802 zcmZ_01y~kc+ct`Vln6*mcQ;74beD8VgEUARfd9s#)N`;K?)BGeiHfk%mIGmb`sNY zQn594a{1(70wwp!$*KobCbNoMEmdID8foh{@-Kko3ZMDFC{sI&|eVs-y;bj>vxxL-~Ji+(mjmKvzy2+t0fB%NII%wC%FgmL#?xE0>`C`SG}N;qaSCmL|dT zqT}c%cHC3bb+{4+{ zVHC+P?&fxzUH?8_+I~CD&KL-f5)%sQteyt!}oa+C|)Q2s%mOy zOUGU=LuS{Djwq4*S2*(dj>6?eq|2`BZ$@~J`7Ye~8yg!J9R?ZLSkt{uL-i{RyAf-& z7(Rad_^=}(_``06D&5u3ag-n1zr$zB(&YZ?u;pSxCV4d9osrP{;dH3&gZSo7_LOCB zYJGcqM!DzVXVs4%vnF?`X=qk6o^LZOEG&|*zDR?W9l{=9TY>_wBlsG3<>{)PhK>%e zy0xl`b^myfu{kW1vB^AID}I=5l&^DlGXHiByPa#R`f`8foay(PTOf{S+k{ zm3~AIf8lCsYfm4Ky))+LwbDJW=4c|HcNM$`65Ah4%380qY?==_^gJ&=+B9xrkw(Mo zKi|z%Up-FOw{_RIKUxc1RYsmBk9vF;CG9v}@3pYC9X)XDc!hm3YZMvIJ?eSA)XRI^ z(n*o1!@5-sN94ggIIBX9p_!3CX~Echz$%~0)uG;YhFMfxTv%MZP9=DYFe>=WN2QQH zbSD6bLM(h?NI)6tx!$Y>z7m>k_kR9)-}-Pi_>#BnMGo13+nal?OyVAAy*9G|+v1c;D4fEC2K=3AetAJeh##uU-hOCMWV z$(Xx3&v@2>`nH|n?KNRU79I50j;p8U_B);pDiW;!*up}}+|^c!Eh1~O>`e!X7xOxY zIO*FCV^)MjU1!bdtE}Ud{Y!cGhyC()MyTJB-Vf^~hwTrWOs|Ao&-$s%7AYYwxRJO~ zPztUYwzqR;_U9TMsi@>r zGiz$%Mm@IJk{`3jsYm&*@e}pjcWXv6Vq-hcHU|sK%ZbjD2R985=W8EsN4?W0-;ZGX z3i&|xmdBn-#&0VQvpVm)$&4Oz_OttyXRnEMeXm;+cX#)j0rj?++Q+;U8&Z7a^O^Ri z_tl3__s3M6oQc}Dt(d~7rW<;fLu{j91sYesJsz+s#CDNu=878){a=WBvFmtBpVu{ncQj)@#cd+4GijVIhA2zbR=la0ZZG#92U-|x?qZ=bAo z#u5r%-0rM%TF-yeVI1Z0x;|R6nyU(UzJ7ip;^yW~lBGO5JG(iJ^yb^V6nMH>-*Mt8 zYux%_FUZ8i)N5F2z?yvXCto0-cfJ4416&#h3HIr6I^l+YH)rQrZ(4TSCLr{@Q2J*%K)B)ilzVK_HRv$5fmd~Y zHpo=%xGm2|h$09gtl@62c&_%d`qoYJQBx=+Bs9OI^L#-xSZqM?5he8<-GA`=S$AkO^$3T;xkxOMSg({+iCIc^+>^yU%!6E-OJ_1y;lts&v|#AtX7;ywM%#KFe*o8 z?6}oG)g;(9uGlwV-$Nqw?EIXn6zsf6RoeGG@pOcdlarIN+{-rgIa8LETBSy6S>Geh z?;nlALJ|_NAeE`@rkg2SxscL&P%)to~0V;FBW@85ynD z%-cjlat{1LcI5eP)oULTH z(f4+`Twiea^g~9Zz!T_weopQVZ96okg8IFF>E2snh19JZ<|62Izpz3I|NC2!!a523 zOF20?%}X~vLKtBjqaX@21RB^wUSSt z@pO?-RSL44-EMB;*}nes4+G|;xhGJ+-y#OwfS^yG!wMGV`m(1=Nlox~EtILprarPU z5=G#K*u7Q2vHe9^`;)tJAx5OYow=ztJMJckC$r6g`1P`ohb_+btcHdpP@-)YufDb} zvn&vLoCvq*F+ti6wgpi2-@<$f6Fsu^zSkB)^7zkVUQ*Gw%@p7&R$J2{aKAn8Dor_hkP9cT;B^q(*FJwUW=fdwKy zZaGID6}YFD&u1I-lrEk+^F{IS!PfVP26tVUwCu%H*Xh`sD!v6}{g)i)Qk?zL?$OcK z&Ug+w?FYHU+mJ%2o5<%Ilsem$kpOJHKJ4}zvHAJ=oAT#7CV>-Q6yrBT*M|$eBWb+V z7`aY71dzhsu$z|xS-O$UME#NC^0oo+7Ct|%3qC`sqfu`+w7~D=&PVP;2 zcQ@bFtPwjW=Q$|1VHPu>lj3&2psru>y8m`$1^O8s@5jp$&1%?EwL!2Adyc)Xc|l}l zVBS1JdM`+B^w^crUjwDCM5{LBLm=`gq$`AcAL(_GbMC}R0eY#t{&zCXR3P|I35}?8 zu0%Ii1BtL;K5f0LMGyXFH>2xWJZggXN<4~cAv#b@7myfWUl;aGySRcE#1I=3m_mi36eR2gTq{5|Y zuQ4$(e}fK^3Tzved$1!`d+=;A4xF1a$IZW4FVrD`y|~z5-2@WvDII zOeH#v%FM~KkSC#~qYHrSfc51S&^fF+X56PLs;N;HOj&|Wt8nuhyN%g|!v+#=0Ya4U z=zZRhQY1+aU*2+t$m?>nQJ9}@*c(BhQ9Au+izK69*`XLX_LTW!*q+EhsJB1dS5T`J5QG zuBf~`a%pL4b&)pYl4}QR{O!u)Gc&!piF(qk$>hnh4v=jSz~r$i%P9l?f@j#u@%G;i z|K#?1>je(V>N6|Xjc5tT*>E;M$ATN)0;<`=Rek#=G|>$dXu%&+_cIV|+aH}N6?v$r z0>A7}Gwj_$f`}X|@w!DRS~@qV+i>U7{r4(!v3mIy$ZhY^od20(5Cf43);{as<4Q!} zlc2)?b#871*KULq(cwele}+XC_2u(D1;l`tt$HXy@6=uiCozYXfC;s0Zm1_5&+W7u zd(?>yaxe1bK>FLHkk+r)XDH7nD4;7Qi|u#aE6ndXIR6EW0y^gqwPKTnI_raldZzvJ zwl)DU=t+F~MDl!B{>+nKQvT2E`0tlFdbb?V=T_S+@esQH^|crDUJIsbIILS}0O^U_ zX$N(Gx^x{hVfoF?yw#CYmYZOf$f~T2UIAIml`p;9vh9Co=&rBn)wFpcl(ChcXBfdt z+#3SrxvtV=FhO>D)`>?>N$D-dB5fzWQlF2l;970~D} zFYDnW_kIfw`R7sp`7$C7BTS5g6qAt=sUuKd`@NbckCZUd@#Jp@J@8NtvulU<_=35dYo?$PD^M+BTS~pgm}u42_<7%KCwc9>8g+E|n{;WVF;@Py z6Kpp7&2J|-(b4FwWmMZQ?LL(6#BJ*;%lf2!<#==4dHo1(c&@AYC^{3Qt0yW$UK$CQ zGr&jCR>b>>v_h%FbeQ|W>VMlxXAX`ND)#nC-$J)yxs5`(nNzgN9m|7G^Q>T?ARZ-5 z&!2dC=n2j4+IjJ9-N#k`%1!_0uObRGh044!)=kgg9+evrd-vb=%6>xHnQ4?O%`NA( z+uLH(4<#J5d7U6)^3yb=bH+hd0dWBbIVE$Ip=J-ArTm;IB z=h#pcl#btkUvDFFUl52_NAMLVgnyJSp&G{L{@8oxCtbFnD(fpJm~+P~LcphM+l_ab zlkmBpP2GqHUWf;wLj|=ATH@6PJ>26WRrI94xR9<((8v>4rl?Vc!3=c)t+K@|Prig`(Wk;LGRXzgCdsQ#DBB8LjU zcU9T(Fwf8aScZpTY%5Z6fuJWPH1762ET`!RHQJT7nt!Dzcfgu-C0mR#R%w%C6`{*6<^9I&MO2XKJgKO^6MI_r zl{o={1s;y0u&qS7lF}}#a${c7Q^-!J)f&!|OPOu`>O$$tn2pQETybDi8>9f^vCL(tqiE?C#wuZMG1xt*KV*(?n_Uau%{ z;cr!EJRX#c(vAJWMb;8h`|o+#dL{(6;4N9H4%0A&n;J9U%#McW=+|@$Qlj;CDuT_1H10v|^;u zN$wKC^k~5_pc6J{cULPzEL5e%2uWrL{|9Ho5&rw98Ez+TQ#t+^XMM|#V`5gZ(?Z{G z>Z6I-gFEiNg3>y+#z!TGo&|@hNd;Y(q}qV3cfD_r#&^qe%ImQtj$qH^997Pf>B5(p znKG_2mHU*!qUdUOR8l{I;-;X{BjNsiSRSJhrVM}%dwUyD-{UYfM8GKzq1kk@F*U|PlTRiV$ z&}A`tzHDUPpgc28OI+s65S2tiEn*P2A3;8oPUytHyfd3mhyFG2Bsw9$Fg-B_SiDs72KT_eckpjX`QrNWUrac_;xXqynyCyy8`*~~WK zE@7xq-eg^49hGghU<8}cHD|fExm+-mdqQMocV^6H#kbk&O#!8OpbldZ^PDv7I)i0q zenLWoyk4;|yt(h!WP~+S_%{7gOq1Fu$>BMb{sR`-K7B9|9c${dt_d`pp=rZzt7mUDmFJu~! z1w15oezC^b;whM5UmaS3FAMmpm)|*Y6g+}DsaXih?>m2yn3OaE&?UL@MW_|??}s5m zrO6}V>>nNVY&uAlDT0WtHof>|1Ya#LwOaJ?fOEsXq&-wxi)9y<_yAL8LBLKm_-Xky z7f!|-klb(;qPEf{6Hp$D*6ls-589Xs|rb+7n2qNVjQ4|AjbK zSByI0_a{Y1>&qLotl06ldw(q&fBf*(8-RJ|Zp2N#rpd^*L603ynQN+7Mx~AH?7FDB z%8DkJCrLiJkyL}hi?v)!k4B`%hZ_{CUn2|qv5`{#XZ@)Ssd(dJXvZ|lF6zafP%&HV zH0FkBpysme9?VN+;QJWq4g%2iu-H-(v38iOrOjM4RVT{!r|1yj~j2X_nQ1Kz6Y)oTDy;D zw0C_H%8jbdvnyaIuGFr{d6?1e&SnX|o>qEaIXFZPslH#kFk{;K?6k%2$I3_QWvSot z5Qxj<^Mu{{GqUA(cR13+Ti<7`qs|V%n(aE8dJv-O&RI5psEJ^W7;x;GeHp9P-RRYu zT4u(B)L1p;E>aVz$Tv~+9WxRMmttXn)Zbe3`($2Vl)9?N8K=lk>>n#Wb+Vhl;Pi9Qq(ZYf_>!izi%R0 zz}gvk?)2(J)@sm?|N0BnpvImwk0RXrcD$b7?6$_#=pGL3&lfn0laO~|FEAXatM&^W zlKWUpM#my8WO}??Z9&5F_dkUmvv(acG3~B_UH5!D9$z|+O__|VS4v~Q(|egkG?}2u zEY9=M%zw=>(*XT~BWP6Sr+Q0SI?oud_|Sxc0DY~M;lqLNijxqF?EF7TLpBzV$H4AWBTfH`{{o|U(7_}qhH zjYDpf>mODKvK_zK8;?;J^u1f*`hixed7;lV3;#rEZ-;#)Vw20Ex7#3n5 z6|(~2djLji{R9v9XOhCPPY9{RyZXUH znjHHo@9!44CdS3MtV9{`BG&t=%?lmy`s;`MDcf{NnzFcPi5J!K>KrH}>@_iUWhRs^+`X(jyU^~Hvh4QR zIMta;fDupBK&%fb7FnM3ufCw_G8`bwWt~8aQ^KqMi~hZRd%VmlRM?-hD}``pWhKPn z+Y8S5cx(ASV*?sg8G3fBpH!sTz5+?*q*?3}e-eLkSmr5k9FPjCAzvM2=6D+{@5TJP z3~8ER=6-S1daVaq5si8q0>QiS$XS4W*F-+I0~*Gmm%s&r+&MfyUXK9YL% zpn4Q7ShS#|WCK7|rhs`l|KbJ`|1mULA-nDLeZzCN*25}SfHVJg9B+ZsJ8b8_EDp?s zyO?ml_%F%7?zuJHzWVK}$5-Cw-(r~0H7W4Hl89d#+cyI8;0-&9DH0-c!FU43sj}U;x&z+||y9QHs} z$a8D13=GsSORMLh$PqD=I_*MNumhd_>DUL9N`U4ZwLg17V0QTof$+ii!5a(2_t(eU z`GSu$pJ&R_>|4FsGYEK{D*!wS*j-J4HvuH6+Z2yV0{}xJhWO%lW1LQbL0u}dNR|^8 zzVU9R&WssNL@AsX&eU_ruToZ*sG{HJO443rmwB=?)8&vdyawyn&$3&g!Dm$rVn#~He9Vj) z)YLa#UknjbUK$#BJ0AF$ru$R*Fo^-V$SEx@p=&HIT^BKvOm_~qh2&v%;}4u1dVhh& zOE923JPFZRKfOS-<|$jy5lwddgg%w(IKu657Mrn=pl$QwFVXWUksAPmaBy&hil-(3 zSRy9&syC7-zp2Sxc!4zr0#1}Azb6#ffTfGFzUZZdiIAJ(r3>{eze2I1K> z_+~smY%c=5lCA9e>&iW$n3x#f!%1iI`oMtcF)2X4PM-`Uk)1)a*CyB7B=Wk?cq3VC zCX>xiIlRi4m*{GG!fVYM@c>Uz&099CJBfs#k-$9On}qh_?-+L$K_*zZ=aCX|mU{d8CnTL|3?+rE5SedY2@-(e955BE$zd5sh1*|e$~M2qP`b5(eq93T(ud>t5>f8 zgQ^eS&CTz)?F7(hKeMFcm&n43k$LPaJVd`r{F90`ZHTdNo7t)@aeDVzao&vcld=`# z*7qrOGjf?~)$dsE8cSgY8=q^)$=_pMp@nG+c2^4U2ke(=Du?h@|JDjK*{8zVTz0;c zC_F@-*vimAc2Enn@6t$XI?=-le-;M z_EtqS9yRTo+uCkl&gf@UEHioE4(b3@FE*W5(EA}VYIK_{UV7EpY}BK1$woen=e3O_ldt2lO~jPW0?H3tBKDI**m$*I6kDvX>u zUeUom`h9`wJ)?S5q^=KJGYe~m|Q-tQL4tn!{d4} zE-}~U$r~RZpEPXx;3Wtlr0W+QWD<~8INNXK00vJ8!AU3P=A`tNZ@j)a+Iu_jq)}ra z@)0UbJ4g0@usP~Nh(spjlXP+6#N)IXvXaSFK3Hl_goNw2&Q*)4l*Gi|fp{PX)2uXn z1<_@UF_Zp|1nxJg zjVsZS<(4vz4G zMcWOCFG;6_yd|2NT}s_T>KcYc)(ik~Z}i7P_|XlB?gk1gGyv?aaPy(XzR7>N8@GGAQdE zzPaXa)DLFu#F0WpX@?7LDeNfrleu7E7Olu^|J& z@7LvP{DQ{`873t)wH}~mdg(J~wUre}xJIXci|GD%61kDG@<0jU{-9XJyT@2^l8f&r zt?QS1!a0}wwuVz6N`dPYZ^2bNuAF%oL!`bk-DZG1azatY22T~Mn@t%pq5Zug-dU5RUM*}#4HLjzf2Yo|Gg(+m2(t%wHZ8?WL z(n+`*k>$M7V(nwkEonTK`EI!4K7vDLzl1GUgjjwyCk6mlMg|Ikeu{j{u^7Tdr_Zx?My1q{Xqk@dOlfq?RPVywN#OcyIPL~3mVT8x{(si7dC1}~q(IyRa(FNW6rcv15k~NPLp!U*5&O_JRnP~qG#N|5D(OOJ**Sy zS2*he{?oNpukCi&c4BI(`|ffdLWx!Rm3RseU0$x^895fZ3??uf%-4p3I^qvucH`pX z?Ljx`*!hNYXyH;yGWGDAQGeKq4LeCuaMC61o(^`jtaFw0RD>Ax1xJXO8D{wFuiY)} zPX6QIQAu!HR>P`-hciubPnDHc$t6Z>r(RV%`0n)`5~n@jSu~;~j?2fNA4EmOf!IUp zQpp~OQXd+AX)sYp{RLMt|5eeF_y|pX#(UWAv7b`bE~p9y8kAaz+EUuefvBH<%1#H! z5&BNoXFU?n4tBSVFt-=ipi8N#H_2Uyq3y5_u+eGqzf5M1R%sXQDLA?H;KH9nkz&Wq z1$0zZRTcLuIB53U-+U~j3f-3}p;&)1lOU`ti_3~9=R&8D-QOP{3V`uZ0W{sW8-xk;PcX1713X7ZZq{g~O&alx!s6)c?7SCdPHpMw2v zCPJ|{CQ3eyY1wx4(D2-=r9E9J4p*TLzeJoS|2M@z$5r?N_ST8EPRUoiU@Eqr@jjh* zw*aGOBm+|;pmEmTzca?jYyR~W4fgIk9m@ui{Li@HcSmOZhEi(R7Z-n>cy^DEd#yM| zn_7uWRp}9=)4sn_ar^O_sr3R)s3#Mupr{C>Ds;0VDKII7O0u(1-_H_|vWr}eTVr8H zB3gG^lEQ{Nbjiq}d?!$Bc;&t)3QabTvOH?- z#RQSd2bfSMnq5_dU?c$BuiX=MDEJ?vs*!3Y@k&Njk)5Ta)W|^ninRlDrz1Gctg9Ce zU0avg{*VGXy89P)h!TM5Ch#aJ7ZBO=_h$y);4qebcGUv}E~;_s&bVM1mqLP5SY5YzA8)`hc&9ka{cVGic&I()16 zLCHc#`watacmF?d$~70TH2ukGq4E+1(8oU54Dx=T)*BjGi*zXI@3>`E3!I|ru^eWE zyi>TMCsts6ohu98tciw5!;O12nIP|FV`+)Y{h-e?{vz@GkjwP1(mD8=CGf}N!_B4^ zpDzv|g79RlxWX+%4%cLcEmFH4>c7N>^rk@c5nY5b9YPw%-e#d%X?%ox#^u=m$5d$c?rY0sRdtn93R6;(3o zlp!S}m53Pz!@^Q2TXqM>H7)&_PRrx4%vDf_G1>MXiCD_ibL!s{w@s2*Hczj=`zN`| zD64@XZcUb1d2VA0mkCf4Sgk*NMMHE#6N;zl{SI<;kn7MY0o|tE>EptADU6AbjO5sq zVKNPGQaqEbmYybp41oW#rvmD)?oF6R3Iy>y6lV!)*?Hm`jR++a>rI6%iSJ_kOZSma zEyELGZE-^7<+##yoVaH}y1&P5y%1lc-ppQGurki}KP7Gzex>Dx4BgL6`3RNBpk2q+ z$oe0soh41^jgyRuuhh*J~Bct42<|3H0Ena$7QLs)>$}BCowriu}h(MMj`3j8bm zQz@Y|_CtJm*|R!B`7>U|7Luacp)?JDCs7a3V*MHI1hE11NHDaGP863HKbSdNwmlKg z$VfeYcEXn?^RN7W+5aE-uR7YFzf&XR1h1&eH}zW=y;R-=`?Yw%<+q(TW^g!>S6TIY zQ)KDS_u9Hj$D7 zp9cF+63*_x^jt>TsF^vdh54q`+l)tkg7AO!!!3bHs>mE>5d)Nfmr5047cQj|&9OZw zv5H?{=O=P+)REOOW%7T~PE9$cf>KFba~K%$!GI2W29cQy`zB;7(0QSLCg4c!#w4`c%&J3zv_>?boehzKwqJeq9+!=AR7Fkow_O# z4b99iOLK1ih*IcWj$cAM{gN7dBatVA3CaNqvS z3z-f^ovI=FkFBAnJUu>DTl&aqYn}@1JimfHn|Ij~RCLwc#h13+ zKiH@9EQ(8bW26X&Tiew^m~+cEGZRc&7IR*+*vHADT??o-1_in%*hi^ItkZjV%VEiu#X?o(y}yS* z?*jDsbRLijWvS9OK0n=SwtMmG>grkn-8Nl$3!49GYv~pQ6InKvv^*V#C5mic60sxp z?JU^(@cDdBYb%qlx8i0`4(-^j$zN%Yk3>tJh`?R>;lzthOoev8 z4=Z}}y?H#<^@k{{xNqspsgV6Xn&lU`>v6rvrPD1_W1Z`^^%FWrdLqn+@r9J=X;5e8p zc>eB8=OHSr5i0yJD#3|S(fXUa^q3}E8jLCDY9CNW32aj9>sq(NLt0w+fCL>1C@;Eq zohB9*=>7>%Gt8V#P#1qw`$#7uE(-MGJ zG732F6pvW5)%rBF4L*H*+E@uDhIhJn^wjl%b<^?F%GT^$=D+L92wd#epFWtEu@e>fm2 z#=w*+B9%$r^~xYi-s47q_5Wv^H9H?>H#eue!Q(jTBzlSh<;nQU?W6+^a#~ngzBHIB z`si_9qlL zZc4|0YYn2LJ>kS1p<-B0TIjGG+qj_WFotE$8kQl(nlNk z+6RjVB|+pg==u)+oOKGy1b>FAea(1Vk#e;O^oVs1g@*^AohtRerD^F{O(Lt7@4u3! zI`t)P-YRSbVgmTU&JykVh*8fYM;*uE_eKK$BbjsE$qJmUv&Mr=v=BTlUm*jqvL;vi zhliV!8BgpGBn!Lxb}}cQ5Lu8?dRjB|Q>S1sg7R{p?DakVu_=-<0PWK(&&cU=&(-UsoRdTN?MoMU7 z-rf&c##ezXM6h?i)S=t7VxV7mQ0aA|dmxk-`S?_(*7R@#AnjwD$;8(fdy{po;ApRN zgu>>_y;~n~vuu_{{l3+fAi$bzHH35lB!;t9Ca(pbP9tAP=1*c^Vx9t1M*MW0rOmFcMi1Y-SL`X1;WIwK7psm%0`F@QEVO~GRg-Q%)Y|J7f}7!JYU5CS{RYqdc2Dg@&d zK^3I03AJF@@813$huBy)uAi83GA;0H8cWtraoAPw;V9A$i-_ zzyOHJegp8MVXvr|_1+q|a3GF6k8R$Su;)vVzg9gjpMj4RGY$%Ul)q)&gpXXG}mWo z#JJlg!P;_t{;Om@sg!Kghs2jBMjte!PS^8}91iXS>pKk@)YK`1fs~6A19sswPCjZl zI%K&nO-+J$?w;NLj&xzHy}83Ty@lr&;|p4$G#Y^%s}hv4tLz2#O%CJOC1?~jnCKa7 z(MtM=&p9Tl|C=rCj7M)q<82b9aAy@Y9s4&yce zpf-WD2c`?}0V4bcvQk%N|CfLNNA{U?$khJ8>h4+hsz8;te|VSz0}))I7oUw_<4Ih0 zbkR>%(##qgYK~2x!dzc&UW=!=DgU=QJMdy4z`TUm0Dr$`GGN9rx3=y+bUx1^dJF<` zuxVk-Jaiki0+ z;p^)wOVD8u1*BO#X(L7IxyqGhqv`hLO!3mEe^eCSA_r<#n+|`wCMJwzV`l!f-1=3D zGIssQk@6N|Qp-y@NjDWZvXzF?$7mvD{Y^$l(u(HrKuQeieLjX z=$3O>KUrbPSQ&635pH}oTzR1xDA$~-p`vd(u=1rsWyol>Tyro~+ly=6tF5z47rot2 z?VOYm&rop=c5l2SJ~6eZz#YpfOOU=ve{q7;hqK!MU5uekA`I93$Y;wwB3zX8+?m0w zR%!M876@P(mgcl)fj?H*SQ(W^rlIUjMfmcCnrb;zSa)!=K1lJ;n8?cDrHEubBGBC%$gfFRh)AetMs>Fe>$dvJvck`*597sh-Swy_WXz ztl)BZ8p9gO;XnO!@bFj;KKQ>%J}U3BDy}hSYW{q{IPdnjc+GHl_@~Cbpr|CTi@P>^ zT10st;q1(Uh^O{tyofwuR3J!JW%zOm$j-KpOKxP zZ#FW+)}?8!DjNuN?vYMB{Ff0v;yJ=O<0n8t4>_ZxgSUW_0rwm=Uzx_3^_@c_{;ie& z_?`Bice3^)$vX)`*&3??N(W_Q=|_yA-aNr zSEkr;snGnFu0Iq`2P{yoXAsFJln$DZ6XNlx879`M@^;lbvb-|A_lmyewDPUo@SUor z0?{;{E?(u3qNk<69!}AAW6$;p%1xnL{&%^?6jL1qv&@Y4_J!CfCM!nTfwQbpkz7B& zFH!ASeraQ#Xgn*c;V#;s$X${LD7wF~TQ>U9(YR(AnUl75_fo~f?uuVkau zM7}u7@;d)z)TX0#WgrDAInKSWt|#$4zbnbzun4f}2R|8AhSMh6i#t>(v`==trsDfK z`4T9fvCHl30FxKGj zzV#P|idS58n50!5qu4ut)aVEZ2>9-HazMMm&t`OdeGf5>Hf$znv-;nz_eP$3KaD=W z_zSems;a7CpB14%Lg9y;vFZ2!634A|0e1o~XlZF@0TH}vmn1|i1ga;*-MG0qr>O|c zzktYtg3Ozb_t)o;mLKADbL467n(L49wzPH$iV(h}&}SBBjsIPO1>b8*RhtxZ8JiH$ zSBqPr&8w-NV6aIl#SnqK{P`@nh!lX+Svv>0Wd0&Cd};AFJ{cP4`+serwF?VijJ3F? z5?xt`+j3yvXJX)Mz>veJB63V-8ouEU{Y_1F&TA8slB>a`hIYf6VD_*?HHkioxn zezWsOdKzMj=t_}#@a6OeQn}=a0@GRDFUh3h`Gh4cah^VBlr6voKb+|^k(ne?+ zQN{$J2Em!~MP)?th)?Il?gx>ZsVgXB2}Qx#;SJB0=$6pQRLt{-^BA)#eHlzeaiE}( ztG%FhDEM<%NF9;I03@WB!e<#)J2Q;1^PByYHl)$tqWBW}@ z0ac%x@d?Y!YPSj@)8Fr7bHnWrq(x^)xk_Q65T&LezJ9-2UX?w46d3ALI-~; z?4Ejs74dU)ld1nrNi3&P?Tl~}98W}0ciijT?GJOWLIq?Rab(Hinu~sk@WubkWBhfd zLv}kI(0-Lgt_uO?XVfvGk==uOe&x-aRmN|tD6%?se^9DYO^c>~lAcoK&evQUUGstM=otcy5N*L`3V!_i@A|{~e0{kw4KG58^4^y!^4A6)i@L12bhhqyoi2koZT3h9zS8}kZ$P#Aw1%mLZRTEC8kUCNQ-8Srg^CXvBI0 z227xZaA*uOam#aykEp>rCs~AER#|)f^%n|*t;qe03iTkZdp21l*z9QUhT4poeGlMI zNnQ%9fv4_|K;mE{-pYa=P$-GX#TN=tY1(A_QY(4_)OcXz`>cb6jF zjf8;GDIg^w?#2Io_ZZ*F{th@&#vpFiz2=<1>zaZ~e7CZ>hb})r`UIWfvk*N>R!VWy z475(BYU110!SxTXc4oHn?1lEoiGhHsJ4^RF$_Y72sVgHbPs~xGm((?XUdil&igsM- zvl+W=&pGnB;OiZZvY|dr^TGfzp=J@f-U?mTWdkD8c9T2tLt4|#R@XO_XU#s633Mf~0z0T5$z`Fpk!=t0d*sMcAFdEzgkYs*! zHD>49Bset2o)i;Sw|HLO-WMR%kO}%oY((fF7`Jn~m$%n2#$i}@lp=6JuW8SvRnGYF z4L4h(#p|*%j|?Wy=qok$x& zG3`_#2pGcouIQKZ5uB%Xpa0a}5Rj~GMy=|g{T|tp2i>jfMZe{ZeMSL`owE6ITmMfX zF*5wgbnt4g(^i&^ge=5=m~f;9iIu%qpb){hjQH2m#oSVG49_G+OrZ4GoNnHM5J$Va z)t(a`k?29VdIjl-X;WTye)>f>b8#i!{-K=s=EAiRuU6lX9?*Aul$q9|7qvk=D9uZ2 zqfebPC1<3;4+>ywRP5-3Jq*=X*{>_&(5!AWYIe-nbGQ>Mc@st-h=%C#JV3@&d4_1v zyA^3hpkka$<0p5%uI-K5#fVDBx+C8b}mz>cl>mrC& zn!^sX`=POgI=f7rv-rg_{Px{jMx|Np13X)6VkI9l<~oA=Pd8|Er_S%$RKU{yA*l2ZN!}iR z>$Qa@dX;qu(O{D(CMy!ll`y zkv)o{>9+K$5jX4cCtrhE2u`xEU~(1GZ|cTeL-?&G+R5PRL{@-*rmJt^Dw1g$b-x7vaP z;O`F*UxF}OiYve(HMWG*bjNYW>&zN7Wkz{9!M^Z`>hJ3pElNH54I8s6I{K^OpEsY~ z9l1d3W}>)LEX-)4tISv(D@WV&g=~L9RFvQ9y+^2Or^+-9E7k4Y!0_ahyq9pJc0>(0 z^H=vg|Jr1Z2VPH|SgrL(>ca4aN3$(Z;Vi}DD6unv_4O$=lNxJpXMFB2#Y&AWkipRx zf*eYjCP-Z;2mwjo=7^7^1kN!c_2Nq(RGdt21b;&Z(@sndF>a?nn`}&24n2y~6XajV zEGwwo$oOk?-`nDiFfBf?XSY7)jkrTN)yEi18(lt_cE3X#cnpguO?f!6Lyg2X83|1p zD;4v}wZD@4bD#wCJ$GfFA@De<{khp(VpP{;aCsd2H)(W|H)}U;M?VxiVSWr23ZOQQs7F5g)3V)P!FDwOlNMbKYCzXMS-> z0Wkd0N|`HM_n>`}H&}Fm`;HyKh=mGleth6=n=&?xqNBpzEwbI9xrGWqr!&vyLiyog zzS4x-*hC)~qf!iTjhRY9a5mMKTY;Q| z)C_&?w_6_&>RxvZW-twhD26KJNynGelg$zAjXRxDke(GOV*P+*so(G?h&;*-uZoz$3sSNvJyr|xw6$P{vU~pW6#12yfgg(9$!|RTZM|*W z`E#bRulIs!RPvm1%A~EX;eik=K2&zGf{&?xH1H0Xbeu6#*c20(Wqp5*Tlj#XKeIkg zBLj6xX`1!`DhFGjOPPnllWwlxKQbctX4F`AGNJ@7h$1OfbLcBds|rDvZoKIiR53}B zS&5P=%tn6H|Arg=5+94uASQ#@+L`YFfz%f&zBzb7;(^9*)x=!x8OnUoCu9=k?ou?B8=qvJ!ght0LhDJ5{^ z>H5soIU^~Yx?lINlW{T%!Dpn?0UWHIkRyIXz8J~LkMLV{mBk!}v851zx~pgBzJF7c zc@d;w85%FgR(;=K;gm|YCgE0S(S-eXP!lECm5|ZlNZ%!=d;W6HfzCOQJ$Yy=eclF) zB%)TB*70qxvJ(|!OJCDR(oi@}5=jg*SN(84-X0)ZqN(jGzra9wbyTI^AjSL2W6{?! zij%;4%APaK;Ewxmi8At7q&q5XLHb^VAYBWhziC?*H{0knz-=)jHH_!xgiJ|o$mcG& z9jlJgaLIEy^w1XVRgry)83O;GO=eRxn3Euj+s8%D+Dc>lh5;P(80(G~!e@wRZdp@9 zr7v+Yhe%hFr5fK6=H$cvU_gssv0GC4w9ld`{vY5bg#LC3ZPUOVv4n?jphA=;6>6lZm?c)x;wJ=*T{XOy=qh| za!_STATZf+psLu+{4Q{QSF$gAJ3eY+!07X45jqF+JBIlAyg>=g_XZU7SFlf8e+wlO zl}qdoBh$)dbE43%{(9dxC!NpuozrIN3Kz?X8#2?KJ^!UG1G%b`XhAoR&)Kg}SzQE^Fu>$$^DXL2EJPVCT|0BA# z(&4sV{yUCMEus8sf@QrYH6u9J!HGZ8OQh!s=~QW($n=f7$k<=^y2dEP=%pbI;lpmh)CHfZ(?*e`f1=3sV2+U^%uZKoxh5WcH8&nu0b@j zQ*LsD>%4vL)xYxl1N`j(9GNcj_u$BU%^D`(qdnG6h}DuJsLl%8FT&HX`;M;SFOv{L zYm*M)2KcZ;Ok8W0-vM=jj;_ogrfb=R` zS-*&pM4eQuAAeD9RRm5w1L~pG`$nT>9b&z<{85EvWoaCULD}O6JrP*G`D+i#JTJ`= zK-KCxc4hBlSm`7$D3TsURvD>hNX;mJ*GzFZ*LSVPnK~7H8OipsdwQSJqofiqW`^`q zWApG@|GQj{#Q&T>Rr$-ryLxhOe(G^wa0i3(mK$cSsPeFz3rG1EVcXDy=h~Y}LF+xb zT=2<9tUO5u3^kE)s~FG%cRkjYqB6n25~p8=4u~ETw=lc-362J#+Y)ePe<>kz-P8o6fUED#lB`l zdNClczaq{!e-hdvp}*3xw&@@{37uXJFUgnD9#oLIYD)BACqOZL=$c0J>^$0!Ds9lI zABA2Xm$^37FLm(h#5NOg*~&l4p1sDJoV^c?d7Yy|p^PS8^?1lF+QqVc!ayZZ5#^+%2p$ zM?!U_ubMOzUalfCs+jW`XTEUIy7htY3xvcfOtcfKg2?gIS~~wuy-5VYGF!_Cm2nXflNyW^ol8TnS~At~`34BiC`>kGTOKpnBmPv5+kOEATiT6|8u49?e(H^71H;mf}LzRHj_PLLR zP`2*sDwaBRy9MjpX-)-#(ca}zqR_BxlO5wxKt?fbJjm+0_k$2Zs@H=5GoKA01{^Q@cUzBej zboljn$}35YM@yU(G`zwtn(3;maS~#!>LAkz&@)nT@Ieh|&aSH5(w%sRAxZMNE7YUc zh9DL#buXi>Zbhcq{~7$bw$QL)+Dl!P_vDPKIh*%k1%hv1nCcD*9_b`(aiq^g{?>ev zt9&6V_4-Y~y&H&~1w^IBH2T1<2JU=1f1da{rhyn`$o3;Wt(y%gJBojos5nz5{YI%& zQL-8!&uPStS^W$9)XZpt02J_^hKqGX?t{9BByU20zIwsyKTGPlR))Rv&Zt9)87KNF+q!rjgf`bY*|L z!Pwo=NuErpdyYIHPkk4n(hVL*0;rp~W`^ZA=+^459`bw zaNUk!g#X|cXBA$mfg4Gl-RTf{wE1jVIKy1BFs4xti}z?s(af{K$cZ+Ht39m;su=m2;v%T5)e2&Pw~EJuG9e(2APOTg;a7|2+U98YL_SEClWqYw13hVm-;n+PfYC~!dfYN0-c=OG z9Tw>J65`-DrG&M}V;A3a8y0BouI#sn9RT;is4>;C65XcRsB3a2)Z|K+Y!$14jWh1W zSbsaMEV&#QX|?OHSE7yYC;yJ7IF1g6^2suNj<*&)*}fGT9&@8*W&JqtifOQE0FjWm zz7Q5No9hK#YgadTe)>AZf;Serbp3Ms5okkgYY40-r7?N6vQ2T``jE#!m zD}Ktx>kQ)il&XLk`6!?L?Z|Hsk>pE(Qc4FYu^|sBm6ZdZsHaPUFcZMEfsQI9ocqJqr!O zDm%fkq{trYKUEO?%$i}jV@9a=d$fFCSivtp&p|4korC@GkzwBjPuBnhQ{9*^n3RM~ zi)Z24yKx=l25t#fVw_@)RmogQ`5OITo*#we5%C{VHzt(~0dNaS&uE@<3a3~SvjFp} zZD`%OmEWs3GVx!&Jn#1W-~4~>Bs0ApOscsknfzN|I4scqvEYGvFa;r-Np}!D&0~8j zM2=j8?0Nkp$C*iQZoACb2OF-E^im}aQ}G7&^8fuX?rUgjX;6S)uN)8v*5{^2xwi>a zOU3S9%iqj~qO7uJQ@EV&jI6mpCthl!A7wV`=|%kv{>P4d;4o46rn^-(x#Z-jT_T@} zW~WWy&h1p_BK`T*Y*-I#yzq{T+brDHAw{H<-+Be-_Q;wI%Tzi28(+QX`Us?g>r;!+ z>+GFEw}j8{RMXZdaYFtMrBs=u$^BD2%BEL?jm2Ae#xSPy*(WAcnY@4Y$by;MBK!Rl z^`K44R6^WZE^cZ|Y2!YeTiJBRr zd%kglQIyyD-E(?Fvg|~lCzc^VWk|jx&O(DsBYmu%u(ptUBV$ME&5R2dnc8nzDNdKy ze;VMU*KGJ!M{}GwTZ<@h%|txjf2%D+UZ~*W;`hiSh+3y*h^t)6XinrNaGPl0fh zadF{~IP_Ie64b141-PCIs@K`;)d}G(X z>~k9J0N1I#hOv{~OE+AeF7#k={|z`0Cl!(-kwcCNj?Aui6T3L48sQl?{VfX2>w20Z z06Tvg@`zkcOF6B!#N3~L&Ku+WoDIfwTTqp%(x*HR$YAE(f8T4{&2$`G17RQ0C#361 zv~0ya@?^Mv(q+1C_M>7T_f<`?bMb%#AIKw?du5frM9ES_FGO_oW>RulDXBWm{JwhlLK72b0alH+(3W%i5h$ zpbEbo3=lK8(g2+8RnA@#;LyX=-u+H`!gJvsfFP7kP2?OAIEnu^Y*$wH*!?!|NXUOPNBGXcjsjmlzfIfzIm%a=9)`v7eSg%Vz5 zNqC$d7Dq$WSTD!iCjFqpDftg8YNqw8SMdasJ~bE-C1b_F5Ap1Doy_g(1r?FD2atH! z{&Y`uFDnVdk8!?y&L3bewTR(Xt~KSGqPj?I(1;hBli+Azwf^>a*T)d9S}|6!eE1Tb zo3zbH5K_%CU=5LUq2oSf)=XIM)h;xcUd72CJCpW5zu}*z;@nz$_nN&MA>)qSk8oA- zzo%qwU~Us<_!L4zVpuS6af{#nZOghU^_N#>5Rx6Zw`Cf&5uHMuIaDBrr|x3nU( zPR6L_^3=FNcDOAJJ{pnA8Qkwyb37?`1|aWOz*FGTeamh&jDr(TyYvk2Lo9~gswcTDfH7X8ZALD|G5V?3`EZtsG(Iy0GA6*L2v$O^sflII?dsU4sE#%h zUX$(rN^loio7~k5vzu4u(GBgt4?}hd|J;2hQXs~en#lLi7mJDiFPD#j={x=1>U~y! zul6v)Bg4DDqZ(Az-{u&Bv*jU~a656&qpoLoRAwQH5ry?R{3&mf`+f=I0ff+E)Nqo| zP-#k@Iz<)cYp2HkM))`4LDL6`YBQOhPa;vsX$nfQ3R1739i2hHdP5-ji^Fx7t(MPy z6Hx67haTk(wce<>5&u1$`?yA&KfMPMR#20Y5I&?-<_j;7W;xBSu->Sg()d=pH4?&Z z)LI?za9_CC_nUQK*3)R*cGH&_{zTgJA1Z96YaVtHae&=d5%?B_y}=lq~E#i8&QAQT^Q z>mXKbFsLSeA4X?wj{u0XL19K!SG7Jai?R_u=A||VB!0Qc=n9wPbLj82y&1Xt{h2E3 zzyn4me&XB&BT|1=?~9zzxtUK4*e1p-h25^9%e$zic&dx#9GCASvfpGQC(yTwL}ttW z0MYt5Ozes|_uZX6Alkh;bDks>Pw~Nwztljf2jsxiz~u_^#1CViAJBnOe=FVZ=|FJ@ z5>XYuUk?xULDg_#dBDZ}Y4v1s<(F5dpr^wll^>3&{6CPb;hHm9*dE%a&G?UL~eGq`x2Lz-&mG~s#|BTWD@^tl{PMk{3dV3?et0jMrL_u zZUVH<-?8KTQqIk=={Y=@9=8W95CA2`u)N@sD6HE@%8eHq-+Q@j_HteKGIYzr?9?86 zR$~R$p!oxLPM$%eCA|58t5~vqMI9R-u8I# z8H|l1^E6t^r&QMnf2_56GZLRhI0%;=Bv!$RXA2^92rBQ^o%R`0N+SHZh*NbXMVVqwX#&Lm#7OD^|@Tm-;1#S4cfvF=; zF|3@j0=C5omQNHiO`oiL-`1>j;8*w2av-o1fS@v(LIxV>(rXx+_SG*27AI+>j;u}( z2il+-uU_I^jfP2z@{Qk2Q zcL8!1TL9ZVIQW@in@iei(zzD9)^myS<;gAzJS%%(PA_cfOhV?<6#e{_s*o;Dcrfky zM?=a!O6QOGCuSZ|kFY2TUVeO8ERj$n9yTGq0WV6HPuYa+3|GD`DLf_=+Q}Z{7Ewp=lccFE7rwRbpW4af3F)3H8J$JmMDl{_= zZN}~t5h)oRClS>1rIk&i(3NB4xMTW;+&1bgYj~fAlv08;6V_vsd?r5I{t$hs!6!>eo`FIy}O6^yf0ufj?#Z`0v)pn>3DpYIQFixH>VDUG(`&B)I0~ zn(yc`-q9Yee-SrQ>AHCJse-pX!9ZYLWS^UdB;bw4n}XK9Ovf2Acm4bMn^%~;8fI|q z)o2DLK{X?mPP>tu1Un0vR9L(>HV?OivW#+4S!KmB4uKz37I9We)AHwdzY{Gy)MiH~ zglH2Nu0zva^< zowFS=Wzj6c-?dEw1L9QXEBO+n6+gOp;05}$wLM~9U6P3K*BlM+q)O+jY}m7?(^r>N z2>ztoRX9AbDV`ah#8xtY-^L!stxzXO<*V_n!wxG*wgecBJb%9Rj)7(x_fW6S-SGd{ zvVqQ>f$@1`>hs^#&*xwT&kv7Cs0&tD$kX1Ftwmwt8^-_qv|qN)t(2p~4`$2ru!> zTgupjME$~3`f!d+#que-q4!63T-8+G>_5NyZ8KP(#}kVjEOHgVsO!QeP`NfozdM;8 zgtGak@PA0j&7+HRME)QA!*wOdJcV(Z84;@$%immfW03!m2rfBWV|hVpN=ttcs5nz5 z3wu<#7Bj||81wI$&04XjT;wx6>S^=Sy^NI<2};Bbgvns ztKS5GJ6pqyoGr>{Kv-3=HmEE$caL1s_rv_@#kVME%#)Qpg^mC6$E)7jp4dot^kD8!_R;?iXojoltW&OIk!E zCX!F;>eAoYD7KAy!YnR6Hl@`LHK(|4Bd0M6_n_jr!aL3X1jbHRB>+f`j6wRdC?IWb z(3mQz0)aF{BBQ*7Vn?yY>?$5g9^$rhi!l|dofHl6wZVyWuA9#Ry?*_3%SmcmMu$B6k zKm5j(ungf$t0}UmC%~NiK*({7cP5}LdPah^-ng%gkJUBxk>Xf-928(*DvHMGA6d^I zEk}cf$^`O$?k%GIO2OGjJY^OVURhe5p2Gbnj8ROO&qenwqkOW_-6SPx0jZBGkX*Oc zX6taFFNP$sAO#Ck0=BM>1sKWf(ju;!a{%4um{;jP+wXebhDi z$wUXh%wzLST%Z%7GmoY}%0lvBcq!?z6itT1k$m{F3~0}ld(KbnQ8U0z?>APEz% zcsSL%)-})PqF#GvG}HZZX5MxoaT-&2e&65g;exR56yjWtlaf<90v@AwA~$&3;!O<+ zH$hchT3_uWi4rnar7Y5DVHA|DxwMi`z_)k)vt`?`8Pcw@9T)zOoK8hJ{ipF+ZsF8v zQRf9*V8ZJN2a2-j6sD>HNC&$$ZJ&182dIq#3Fym9BwY;aDSU{yD%kQ#24!RRhd@BH?NM#ssEXAKN zMc~HaS(Pln@$~e}_zbd)g3#^fUY(+iEKsoR;2fA@LZ1jZuyzR8@Ze_BXAeB)gl?3< z3lLDW2ZuldnrZigixwX_ra4l^nZWe>WJQGSm)(dA3=swkZows%)&xxjEFFso?xdh0 z>Ebzito!D!MTmIO5Mn*t^JmeKh*|7Z9ImZq-o!x?n8CiAy?-dI?FU+vzsqU2E6-_K zBlNrPxR8wF&ahxb!&CMJCfhiqW&Ce~*=fII?TyIuhC}Ua!(V3pC6*e=u4VzcEd?#% ztfO-fk=e`wyRq=zKg@3VORG#oIoiA&vhCwmTqKquMUoUE{%TRagoS^n@2<=A?;?zC zLId{IypXvATNRltje|acJSmeKNofz&C%o(w3)K725;K&C>E8@Z)Hqw8ps6ZkmOMb< zB@kp;JSqwhLw zbEUa{yY6heh!JiCdK$!EEAPGqBiV=8J>^{Ac3&-y^G6Lxg0&`KP1dLr4+%!`oF&2t zaU|F%Lsk22>`4suq%;I{Gbqc9bl{q&_KLtBf}=JB6fEG}n;hQ&cn&!nxLJd(7{8yx zJ?%|_BR2NXSggl>^YAL~cHFkq^Vh*EYJ@m9QVg;_9qxTG4IT?*r+H|T*W;$auHz4I zu>nE3837jI{dnlC2Rz+gR0Pyo9$aU(xWK0sz-|4Fc{CT)Yfqdllx#^`UA99lJTA|< z{n(3PWj_;9Lkr$7L~0*}T;hZNxc)OS%j#iSZHqoAQjH2Jn&IH7Agb|YsgZW|HvMtL z9JdV8he^5i@#sA%>>s@4g00_s!G!kmP#+5c6Qm8(GD?Wo?%+2+uWMOaI01E|O32$1 z05(^CmsQ*?^x;*}H((o}NmCnJ)8UHA#sQPiSGyLhmHD#_LljOFKh5LWm4put*Vq^^ zz*jO?zU{fiC09Ln0)o0B!>rX#xD7PVu{lZd)L;@hz8)oI-;B# z=~z*tuO4E-0Q_g<0go4Xdw?V!`00xC9MR|Q0Co$ud-3gc%pLFo*?r@3SAOb+B=>JY zpQ7@-ZdiBQ_{wms;+T@B&)q)RwTbogn;D(Z zMNcOrk~8Kj6@7-rY7tU7v9ZI<&^UQ7@u?mcIrxdD8PaDbCsB7<^yj{S`9xUIeOmO{xk8+L2t*xoABf@$!Y{fls!Pv3% zEqRS|+(Sl?Kne8Wv0^F2zA)Cbg(qe+TNoy~&Ad9p#2Q37Z|PEvTl^5XaJ8M5`}ztg z+9QJ$k{Iydll`VCYbN8k&3LnTsSZ03YwV&lwlhPUnvf)#^w81V&T5r7R+GGWx~ziU z9%l=m5DJbI8+sJsqIVKFq1N{I20U5*Qd|y}I+@yp^q8B08N(^gFJ7F}Pf;BFfav1D z6q0;R7?QyYzflwe`M|ESh%Uar`PSigTHL8$nhe|X9x|(*pYICZ;O+JI>-Wh;ZaJF;QyfHj28AJu=QB(Pb{MooGT{SD|K1`H8{J@E-rQL7Pq8y7 z8IuS}J;$&bKxG;icit`QG4XT-2M{OIg<6kvWZt{sFC` zmEQK3);z$40Nm(FVJi_YH3?R(0(^|c_H+c8>JEuixR~*X7o<%puYT`&3q>$$5(r-g zSOq=<|2)h$1=aB)!eGv#D0h~*{zbJp!Yer@1~F{eh#Mb`Z&=D9f3HN ztQIXu{F`d!Zg4n(-gIo!^_kPf+;ez>We+E|dh;w*9ov_~DexZ6@lJxO#+|65RBRH| zehWl3OYg+8Dk5RZ>#sFas*f%WF?cEAuJOy5rQ5HJph~*RN`Ve#aem#CLp6PUf%9^U zd+u*Pxf`&K(ji30HQxiY*gm)yj@_lHv3*{w`@ZnmEd0lg=YH!lb1iWn<4g0;2_cm= zjJ9)c)Tok0_qmfOmd1OxPJa&tVm_2CNWvp!s)t|f;EFYsXJ33{>*L0hVi#Z%Ia4(r zbERJBz+Tv`ZX5d+(YTFoK1n>L9<6ebMIodirwe&@XQS*`TUb$*%nf@M1AWGrgluhJ zPaw&L*fR$PDfgtMY}v!l(;Z&aX&p@M9>XVX7 zu(pnTQoM$|Qe8UWVMbxD6{*8BBn5T^v}AOYQHiKT(!6B%$eT^KC<4nf!fV39FTvtB zu9r{!q+76c>3wNdeX)G$taOsSBmydUgx19|N+c&UCGnwx;3k(W1p8Selt)5gw)9LA z&A^ntqM=X?)~{cuPeN#rLrw4((y`DsQ7usYlNmFzAV}`$2h`PtDOQui(z>3o-RLsI z7^AuPeA^5GK>-3KbyRc$2MtJc{ANR^wiC^5hF40vZPt>J2lnB%u6vlER!b@l+rvu+yFb2K*D$YgQ|uL? z^cjeBz#%l?WHnb~^wWAB`tGlB4jO11y|8hh8mP0nf*bMRv$rP3lEGxo5O3b3_hn}H z&BghMY;1FEZHWx()67yTt}xYqANCt&sTF9R7b>YUrP7nAs0#XE$t3v%YxqeqBl!t&vU_ZG+LH2pSpi9wbo62AT-mH@1w;&rUKB6fnsG*2#1$#AHi9@t z=6FDm4RPpdLqq-|+AgFIyzoLxoIW9&hvGu)`SBx5M!#rsh=v>Y8TgryN4#3u>1Z9T zX{zPou(SnY3+t(3VA!NA+bpcypKyI&d}7O$rc!$m#VC(WzkjMQ^DT{me@TY)D;hkr zD0jw(Sf-S~d#)>9T%L}BjmCFQ(G%h?WLyMPP3ct)aPn5A9UhIoKTU2eGQlPW5oR)w zP@^uO`C!CgsTC3PQCY#1KBzB$&{@n~>{ii`nc6K!%JGyo(#cT+n0GH*b7_HrBRUgy zF85c!1Iy^{97SpiQv@zsmd{$%jcE9@{EaoZof}{+TFXUH$pPXPyq z_PC=1rAwG)vOxd|g#?bDOlwdN5m%k3{Id14rXMe*87>M;waxyof5VX>z=Q$qRSOWR zwXZP|Lg8l+`MWb6Zu(g@k_K+81a0v!mMI#$`8De0{f95 z`U^&e#;G=Qno7iN7b&e-ZnVN{W@9YtT=jbv2%` zXgHauii6QlhU_ELG!plxva%9y9A#$vgP7?xYPuAn=~3}Y!i`$8%EXq~=a~?K7?B7q zTRcX>5K7=~=`~PZ(Ug9#od23)D)M5UX@_9>3Zvf=|9eCRC`a+|wBi+E5e&0{J_wbJ zx8hc3-7d3M1lluJrIX~g>Zn9HbH%Cwro|0$+t%3Gt8e*DX)1x^0^n)^tR!R|bZc#w zHC%W@kFEhunQQPTDvEt%^nSY2`m%KJXgXpeFc!Y)iu>a#rS*)v#^W znj*+BUK9@)!CM*Jj|o9dmRkW7OP6RG#YmDJH{P<3_FwR@YuH9y7 zs29z*c3C8ny%`6ci$SILmIDL2n`L^a5kb)ePAo))CBNvK!yM0k;;cD%@Q?ceU!Ybh zOO{M+=2_3B93H5N?aw|bV3lJq6BGsPqYK!~{5%ke5OzTtOUui9sgxBhV^`ywwt@gV z&=&ZTjxNN?-|ZJ|)vN%ca2orcMHKxa*g;-j*KI_uU)>v99Z_E>xwOsxS{b-Nra>8d1F6PLvrqdu%vRRTbvL!$m zT+%Q0os;(<8S&14+K@u;x01|Dw)b=&I~1@GQBgKtemCm-zz|j@hMh6`K_B+@t-9@| z2w?;L#lZaw^?P6nVR~Ab__T)9qra6GyYV1aSFn&2w=61j?6M0V$DJlILZh z-v)p(o$RT2xA~>n=)#}Y(1$P$hQ2ZaZe;_)&|tzc7B3r6wR*ceIbU;eFxlDr?}W_1 za88aMYC(kg+9E4T$G5Yecvw2n_VYjqi=j)>QAk-8aHhU{GUDdKflr~o>!4X-tf3&) zga|fo6L8||YBA_{lP6ZawL5*W;ECtnhUzO6t6KfVdC{D+N;ahvI{MKWWVK@GqUlPE zWFw^1fYh#LY)n$L^J*Q(U(L(4uq9Wzj(igr(!lG85ona2R%kU~!}Qs1_SDW!roFs` zFyoZB)D@kZHbSGa-dG!!b^pw*bgdf47-viYa0nafm^Xs*hqp zPo4{Hsm0QiuoI4F&vB;k8lhm-uaU2m7f*Zwzk7broyQDKbrri zt@`^FnIw(|WP-dbIbHZJv1-dmf4lCcy2jFtUT=$C_ISB{`1h7I`|hZXi{DZ=Iff}G zs~(cu$K6brzH+7+87_vug+aK#h@uu>khvQ0U@)kwmJSdm zns3QJE7gR=qE$(94$7l91et{274%`};ure=U=t-}*bFp>7$V3=D#h9B^loD#DA2IA9Xs<6Cg+VC}E4Ua(#KYo80ef7K^gh4EuU!@aTNSVE*R zo{WNPSvH>9%T=dJ+!?#=-ko-5pBh#y09!fEr7EmD$m-HFvTAJ4VW2xus&DgCr3C4^ zdA@OVRb}kwoPfvX`1I$XV!_<=pu zJ#6@nN06Uqz-vZ;gjGKW`ck2njGpfj%5=fXi3{giSsaQmFK zrby@&pq?dfG_nch7DP8-&0)rGe)f`*nKfATf%0G;%HpmJX~UQs4Rmelj_c+#@nAs` zN@@G|CvgEOeubWFagA{x$Wcx7az05j<91@k1Z(KG>(WW`b`*<(UraC>EGQDZSd-|- z`YpR*30M4)JjYLR$yJXVPmMQlCo3_<(PP}s%nb(s+9g)mqWr zl*g;}Jr|f=QL^2DW2i=JRLxFSAGX%JVsY~G+%=}Bd6mGU?(TxkDB2yr_`=rb#dwvL zCIH^eC<`cSZ<$$seJ=~)kU z);=XQ>cJXb8T$LZgLY-0A4pxF9dY8{vsf#SN zqR4yH#SX#K@08oA)kL-)liY<71VC>7)N2Af(snrK9d^y+&UZAF+thLtiC~)PW$K*? zKhAEj=Py1Sr<_&VcQV#qNi3LYLVtsD7aPUUr*kGw5*gTGbZbVy=j}B?t?85Ov6}C0 z=X#KnVedm;+6|IP!+=O`5x+64=vIFe~}X z!L^obKKPA7!`Ac8Oj8`bu`4gV>t6lxfKOkkcu&QoLq`kR0V zC?J8yf6Mo$b|aG)UBnM3#@d}wRmMGcp#r)OvZ~|x(vihGtOr8F$!To01)`QC9c0zk zhGQm+>K!+eKJ=@z(;Y2UW@E|EUq!&9CelbEtl9B?kVWwj5X{pOgi-Fr8GAy@u%4&> zscP0mfK?s^TrGgkZ1?GX*OdEp=by@pZI|5M+q0tnu-NWBtW!g-B$kUITbQrc=22Nk z?~y$^<9#s2{u$nd5R(!S$L>#ycQ-fF9`eM9?>uC-){xLc&40KX_;?JD?x|s%u%mQ7 zJAj7hGR{7j+Lo5{Lpp+0b4jA0F7M+L_WkmvOqjlDn`9|pe6J*a&ha@KKS5g;n-WH~ zJ)$M&l~#py`85!@#qvHa^Sts$cE06Kxn-r8C4+2qjn4mkAH3IZOLFr3mr?cd?sfnI zx0X?c$?oCz$b&by6!h=@;0}g{@*~pwTQ;ljjr%0N32;vBD4ZdOp8wHHzDJSl^taZl zni#)fg3Ma&t?!Ia5Snyw#lgHNg#alO{^!S;?YQGDW%?cN$~bF)ZGoyLd%m8nKB*s~x7q=mx=^{$%Tx9}}ANwOrzr1;{Z~SM*si@H%t1*!=xmcpj0|%*~2}HP~`XK&B z?`=`AKS~)Z8G1X5%cM<$Hf8JDsCd6h*p$RDdov+oW#*)0&EU=eo6-U^1_lKmI%P*l z`nMpZ2KDKD^_BZTs|gx?7Os@4d~!2;ezuE=F!Kk zl#GnZf2tD@D1~Zkm%N$njX!k{=V}8IIgxZxK+{2`hORpZcpG@^Iu9NYZcz?aVLnsAFbsNv zE*z4`iQXXh_V524O{L1bGM?hvauG!{DAZL9!_9z8CS)vgsBngX>#x3WN4G1L=h#5#>XeiA}^?+Xo8 zGaZZ*rX1{i#yn8sP_xFjTtz+)p3K6|{oy*KMR0bM6B1d+~_KO-%KI3O-C?7T)Ta34ZLMJy?65~X58 zK~S2KrHu_gmsM&F1(tFYGEPK6M4*l``Bh5Zm(0Bn+i8GFO>8GFG_3!`Pzx#Lm;xGOpU;N@10r<*SzQSMq z)nD<4fB1*|`mg``E&Z-Wqd}vw&Z8_AO_xhWQBV|R+v|IKdr2e`EG;c<`@0`we;9^A zy%Rr**p#vZ^zetumP`Q`o>254$Bk zb|`{N5-8SHLT(#jmu1)YOP3o=CMzuDs+-i84)sL1%oDs*FEcEz;BpsG8x>f3$Gm*q z7|{dZ>!G0;%%&?$rYdVX^Z-$>#HWr#@jEQ!Ys$W3xwcZ|)yWJK$uh0&$!QZgG1SF* z;bSBlWe!UTj(5up_?q8yxsKtBphw2Q+qq|!{#1Awzx~@>omwQ~@)4AR`_A)wg1{i3 zi9Li+NnyAm7(<^kIkLBimBJH!v6s?K-An zO<^)sVJ5v<4)$P&8(CFps5&9HM9gE|^*!pc%7wW+ug_%HdkcWD$Hwr{!@PJi%1SlO zJ+@^cUIVq1gi;dbUWf3oIlm77j_(b?z~i{4UxDN-k}rx87(|upoA;>bL35AVwR$Ju z8n}`AnIL%w)36e71(xQi!t%9Pad>Xc~1zBjlEdx_6(Kazo|y zsVr~IWyzG+U(*$Ea`@yao`2iNs+{MrZH1FDJAJMg$bjBJkBnl3NB1;rOG%w97Sl+T zG!sz%UdV*5KM_@Rd=B422RO>$8JH>cg`H@x>;#o%+)qM7acZ{!LSD*JBY06 z*c^7odb{Y21rQx}vm#)(n*o6&Q4_2z)N~dr8VylGx7k3lBU$s@oc}I$y-3gzB6k1h zaCYw8+aRktZ_ed-eR_qZR{s;`=NZ1|FfU$pl4uk-Y*`@cUPddf!j)&?`d?yn9LE^? z$liSuy$_)Wo(HD)oY!`7%j!=P6BGQxFZ=>$&z{}%^OoDPrtOj5y+a6su!;U8%Q7yP zi)WsBW)mgq=YRg^$>;NY>s#Mi``Jq`y~Ka~kNP0_>iG~L0I%FEc+F@4!{C0>q47|;%e?f+l0$v;Vx14!&1M&?>Hw0QD zLk3_mbb@w`m;w9!r48b=qb*hGjs&F{!=+5Y|5)DqtM zGM>gNg3LDRmuY%P?LLNY&TBXNLubd^!jH=6c!mJ?|i9($HYF z3dy>Fvf+#pvO|Z{AkbW2GqnPVMxD6b!Ju>Vfn7Ju&%9a_D6R{k;jozV5_5uWhkaoy z@(sA2hq;o7vVI1l%WZJLZ_wR54{!WTBOVz~eHCwG8LPJLjZwD+C^@>RN|7A{gJ5|a zZ+(f9qnn&(42PV>TVKW{r`BGhi4tXdCnZN0nq}t-++OQWGt51AwJK2AurIi*=G;ad zX27-IyrgR8yew42O?yR z+k!g=26BB08Y^J$M6wU!lrwni%WHcSfGXN4Il3u3I(OX{_Cj4Tn8<3(=QQMof>l$o zsR|)cX3(zCBPm!lg;Y_cR8k;1C4uQ^S$QOk7aUtq5cD010mSL?$T0pkA zk*!{|J(P`hgJD2jgR&~HAs>Y(fX8Owwwn8YO*LQVuz<5UR6`IkY&LY8jhbL(QMR$H zO4I}!s?~~WvEg%D=?hwk`)nXtnW@=WQmk~i#clhGZa}WNFBCTH3zBF)7h?{PEHGQk zv8t5luz4A9ZhwXpWVoJ#*|NB{M+unkalmiT+iY9gxc>Y75|ProL@GCs)OB^bsuU*e zJxtnt0CxC}q~v8j{f~a*uBboVa!~QeBadLUTKV-~|8+V$JGW(+j~_pNM+4dmTZ4+_ z3NyE%LIEDt^O(Aw*M?bm*dmtTIF^XJb4@Uf45j7yg;QK?i2g+hGoYhT;+`WAMo zRP^@tva+(WO;Yy9xN|6q!ViA%13v!okKa}Ky)_5pWO-A@&m~zHj=C9cv#GbzP}j1L z8?&a|)%Bm>LI&(svD4hPva%D&@+LW0pTo*X%-yyetf{_K zW;RpZV$$VeB<3O9hT@T`=`5}$NzPn`^duI;9FIe?66_i!I&=)1zjNRBnMqf8buz=% z<>I>fl11R2E+3DMgc)qt)x2InNZ&O1zfBoGL<+k92#%tVH_ z=JT7XSc4HK4-JPo+2h|gv16()HJC`2*PPA4%n%PpJq$%%ZE>rsasGEnW&$BSZhBX=K9sM={Eoc)JG`3;ab^{3qbgf($ZWihc=kUm%Bs#Avsup1 z#R%{DYo{;dYOA;ALx*Y( zAva?-bQ{e?vS0yE93wagt~T}sU58o@p_(=g3tO)@1&_nRy?sF*9SOIu zD7gF%;>^pCzOlY9NN$X-doe~n3Z8XIe zuikXC!FW7T+VD^l@HlO^q-?SYHb3;;2R)~tuwa@86_=pAVqSLdp8WMYfz4*4p$psG zL2XtGJ-482(lY59Pn0(3(2Mxprb*XOv^^dAVqIY(QD!<-HV+=IqgZ+mF>22+Y%Jo} z^FRt_U)WLd5!N~M=cY27zN4tm&I5xX9v+V1aop;66ajC2ibdM2UrL6-~E8;C}3Z6C9Kh3>u5L^a`j8Fu7p%N~{G2yBz9mHt0HPUZqu2!6!ct z^(-u$gO!Ur_So2LHYQS4&P=4axmsGwR=e$1PV@zMd^AeuK7BQ?-sdxsEN$8sI{c>k zQacUCJIlcexE(fzqn_OxjJIGbhaSvI_fXW$BO?(`_U<1XZ9}-jKn1jPcMdd0Nvu*!P{Vq z-$6}8&*d?4OBmJShIw^6pD9)_dt+m@^rMe&v-tGA*5e)B4)VCn^!KX1` zq3hne`V70}pyKf1!=%$Y@$=q)L?RI^77K|)V$;tPi3A-Tx8E4}r7wMnFMa7tYvy-9 z#(RUwWPxjWjeD{s`lGiO9WR%c8BeWJt@^3foVTq*e|@FMTXR_y&DeA}zLkT=z7R!o zqYd_(8Qa!_u2F)ex7PI6=Q9N|ibS-tkB2Rj7ZZ%XE+ZkPxAS{~-l z!P1)$8s^nifmdcKtTgOc>}Ks(6u7g4$5yoC5fSJI1A>(aGf0dK?fJ>|n@kVY{LWs#z}b~DE=z=nYrR?>^V%7Wd*}_i_T3lWoXzsgTMJl3k(#Wn zjm2pbIoTiNiLq!~f&I+<980pBfv{`m22;BSy6=U~lV%{CYG&zkbLQpnfi4m$z6*t; zJFi<&H2n#J1Lpmg9yf!O#%7O*n&4(KQ)jB~p=w>vN_PbujJ9bc`1)juuU}k35Cj_P z2GcQzmHP&QJT|hwk)YA2^V(~#GgMw0Q`xANGlRFn0+g1)?&F=s5|detcZ>75oaT2V2oUi|^o3nS zJ@1d8L$O+?P_E+fc-G{%-xFA*^@LbC(e$cFBj^>x!VQGREP2sIN_P_(Jx2WCsZEMR zVypk4)trphTyx{*ngbvMK08&xN!F?HVnLx~@d9>mnS0b|+)IBO2BY7(yvVa}FW`4r z5d?9)|IaFLyxY&?qfvUot$RyH-DP9=^NVls+Vl)@cbvgs@7m8p9*ME2o9;DLHjVnm zhu#KUN?zjC*-47|Zc3%V`q||cC9C&^Ckn@Z7Vi0JSa=;~&X~{F);v1{WGi=%irp6d zsnxIy@aCIu@-P48zvRnb{xV089^Dq<+-d1#FKneh0X*=)1Drm6n*Z=0{sUl^kNW!h z_$UA5pWJezb_*LT731UMJ34Cr7`Km1xxtyqB>(y1S1A^Y9PEp6-$01qEgFU8>Uo~O zx=Oij(C6#tWb7m(;TWTFFMYd7Ep9=o)Zm*J7kTz=v)R5o;N*d!5cl?n7~OF2c+a4z z=AkupgJNcd<=GoZbKk~5WZpl(>hY(s#@lbcRaCe*TSb2BDlVl$+1ttRp+`ABa%77R z{qAUGWuJL-k-xgKf<+MM@H=>TB)lg3*iN;kCTqNSBf(c*o~GPT=?lBKe;~w>E+1oY z@80ELRffzYM)C$r*%H5d#lkDAHY^x;9TtxCck#s0fwm4FcMPSz#UtVd`phfjDh>RH zKZ^B{FPVq1{|Qm3DSY?p3V(WTmWFE3A98X3K#=3TK}O^IP*&s$q{q<`H<+Irr*{1> z@TgU?ju5k_K8MnCV1HVlq2sD#@fDVF)^aQ)YTR59&^3*svlF@VagL83=PJau4{ z(OCO(uz&d46kmCH8d=rx*lir`@pH7>Z)QT<2#&y1Wqa%0Ns<@7Mpg9T=|03$k3LLK zB(U$lrIuSyUX&7O*Z-1Ab_LhKeORCP-%Q1z{m|N@njR516J_3>PGA^11p2WLKFIJu z{|2v&y^*iV{HK?v_@lG4D4LGnZsAzm&3&CN9_;pTC?p{&3WnS?LEBV4Fb&W2TAk%& zp1G-U$jws6f#M8vWORhCP#e8Eas{esGjNhC<{asYNeStDXz%9Z7IYPAIka+$m0Xnz zt12ngg@A!YfUw`o!JY{H;r8gZcLRoDu$-?mGdF{?zKYH1W3Yb!uRnat6kEY&-9Qs^ zY-mK@<7W;Bf>K17ei3c{4c?e9^UAV8&?w@x=zQ$q({z6PpMhnc`7jJqDJpdn3JWB& z1zx49XN_^dcOQpi{X94nYFo1U zj*y#!sTWZf-ei6?$;$i`kN)=C?;rgs5D08~_#1}7M?d<}O|N;c8nw&iGLw^&YyUqp zGs8RYyhA7yqOY%yU-^|^;pcz;=eh5``#632G{5sZzeA-`SyO|$9sIabardEWrpnMn zqD;0TGn+2bP&HguQ{AIfS8q9}C@Up2p@iSjiR8#|Prt(B{rgv_6isI?Q(-(&CSO%p z&edo%_0nCEr78RP{xsjphRBTC!Gz+bp(lw|uF_{{6eKV4Y69oXS*pTGivCU%`|gLT zVil5kkxWToA*Io!>o_b50d<+vjTd>?sDN<@7{FBg*p9l=lzmK^a3n zb{j;kWqx){=k$p-r55iL+dLv}fYv~^dJ&UX;hjH&u}_)wkUdmpJ}l7JdTUA~iVbE` zWooic+~+VecD+F!8s0yNQq(0T)d8lpFqG09)-~!@Cl0kn=i)^Stw_<|Ny*oNzMEf* zAX4>2sCpt;l^SCChX{rR*(!3}InLoDhdF-Vz`kQy$W(cGJjtb{0^_TBR9(kz6;X8^ zkKM|V?)@K>x^9rE$Rvw(DzZktwuE9B1gtt<%QX(mHSRNH&<_I9UEgP;9PC7*gt}J! zG&nsF;-7wWbl=sz8^wj*)&F_2L4I-eWo+?$rGzE9&CAyft5?mw0IQ>!G^6@ra{z=o=U*itaE-rm8sWCWNDe4J_d0Vd|3r(s+nAXZUy3-Xn3K=O=PtvvQ~ z;NQh)QxHtAl|U~vN(3%{14CQHYO{07xyo>V1N*@Kd(^d+0^h#4%vjq(u#HWw$-?yh}1~cgjQ>ikAnnI$Q#}IWyBy?1)R+aEACbr6Q8AAj~?7`|>=JcUF zUpoECTY8T>L00NyBJ>&Nl}E8H{TD(^-L>~_Yt_8?;){3f7v3t~eDh77dg`gQ|NoU= z`4zxac>1G1`XhekXMToMD#dU7#&58?y2^FkM+@gi*C!y+SlA@d=<_<9u-g|>6R23$YC8pDr zwWeN+2&V=@=osjRK-ewO6?pGU)Y*#6M54r8ri$8yeoC0mS!1Z5x<>v`hq)Z z1{cAB-TCVl8}vVno}Qw7owGYxE(bzAjnX`k5o^;;Bj= zXJ!UnbdyiKiY~kbJ4k)Xs?K7r%3`iYwb{Jt1-uwIEGl5&a!GXUL-RyVA(qMm62xFHFvS>BsHX9|VWzE;Mf{RAUoHtk4 zyqZ$T^VtgHt7S5k#u|glYPI7Fgs~M;SPdDMpb(VQ%{^Ixf!p2}1W7`$OY1%c4m;TG z{Jn%C@5G2l>_z^Cp$}oq?UY883G}Qj+$e+OK6Fsj3-L0Z0K`~ z^^P)G$Z@UV;-F;-uhVV@Y&ZT2ZhRNwhvA;T1w&8l{^oWs(&&?XBE3jq;&pnX4`2=K zzW>Xz#`D)!`N8!B^O^O1A>wgT&piNu&nfYDj~wDtBfBRdSMxQ_Os3cRd|ZIX0zKgz z=aLpQv4Y#;=N}#UU-|ght@RjRN?zi3wLhS!OcHhbdH6PI&bIQ`vk|W14e~#Xa;l)t6T0Zc<1t;E(mv8T796*PFL$#jr6abaO-PqAr*R zK&vRwA9gVs_Y!hToS&QEn=ie{=bn6u2RgeUGXbe_vr!9Bb(j^pnbbSU;=|0}Y~|34 z`_9Xb!BLa9J{t27a7p{Vhpg(%W=vzOLTz2&J?xPf+dySooSP((Oc0O7>FFQ2J73Ce zLP<|^?)zWop^twKo5j-Pudl4X!0t54baG#~b<4SST&X=OC#Wgz0(zDHS$&9Tgx zaztPrhFiW27H8ATU~^EQBxZQ`>bV z^#H}|u$p^a+>6a3GP$tC+~N}b-Cd0M4YP^4mNQ>02#8KMLTnhZ=O}_Vgy67ms~U(K zybjj>djnmlp|*qv%!+agai7`$*AsNIT&S(D6~AM1k4*~>pSeecM{awMsw?aJ!p85Y zv#EsE9dNRI{Va*a8R9*I^o$&btKWc$=gmHp7F=N%`8XW?>0K*tYkTe|zJP6qexRjX zjc4CleZM{c3DAg4vl4Yh-n-jZz zAr~WY4>7NUYp?wkM;`sj4@OefVzIEYva-#sI+Mu|i^cw0W%qv^RNNZcIe2UgMioWj zx#yna)1UtIU02YlG}g1S8|7eof=)(bUgB-YKHe>~Zt9s-Wlep_lv*^^mtt+m)oJxI ziRmk3=B`jJHyhXl0sK8g29MLzKaAbBen{JKZgrhPa*oN#ai&+ZYueWqo1MO%ZbnBA z5((~4_uDb!0R&t&Mq?fZB5rK^G|U0yDrQ!8HeFc{NVWt=A6D!*zqOnhxMe1{$kGm) znPm6v`$*g>wo=(z*m&@0r?+4yWfQwqWH{z&n?t{;;k{)xWs%IoO!R=6G2eil=C&oZ z_}XN8lkB70ZsETE5RZ+8iL}uKTa{I&k`*RXrA^hEu7IY8Yl#zLMT7`MZ{-kC^|x4>a9iDPLtFyIJwbDT(w1 zT=a(8Q#>lv6y`D&5*q>%Q7{9N{;-RXyNv^IqhvM>7njUl2>=AMsuLV&&*9xLNTgCs ztz<}6l(qG*+a$uF00&3=>FbG_)dR_n=&++%t(<-HO&C<`ATGWJiHitL zSy}|qq*IQ3%*@uef!!*~Ls2&)(f0a$sAkRTR%UW7U|OrzL=U#TMSiFae=kLoZ`U3w`d6Df_QQn%^Z6TA%5Q#)S7)jYy@5EM= z%Vivn_ea^_y~dB}Pq&77+Y=@wuhDS~@DlRhUEZ`6dFnz1G_$gUk@mbYK9q0Cg;ow zRrCOc&4r;TYe9ituaig@nP16~$(9i129hk}GZZ=;B2fvfs*F)@kiHd{c1t(dilC%H zFG9U}StM{b={w?X-@RZ;fZBbaHB1GzR+hfBYO4A;{AO@r-`*QgZm7&9+TFm zC<=|06{O+e4F}&S^c*w=A7;;(S8)Yaub7u72K|q~(32o-uB51%&TOX2WU@rIvc4XI zuBPHq*wt17XAQ2?X>%njQ*Q8$i%YyZnI^wsUb=!#K7J_1Pu$aq z)P}m@wdKM#$!e!fyd}x%4-;-RvHM=2?Mg+fm*IDR_jmclU;M>Q4%3>ZasK>yEEWr| zz4qFBGtv(LKdw~ljPo-|E-&T@xFjU2h0=zHK*VcjH0q|Ojf2O0W{SUj`FnisW1pix z(0^NFS&lL#C(oTTw|vsG8*%)%fW7xd~9XL1rb7nER=PA`053^PCP|Picwcu21TaA z)tX6{p+j!gG|#GRkcxH&Fd_%IvNXfw$^wdG7`%tp{(85J$8Ph|^2jLF)lJo!Tk*=6 zO%+)!*Xi^*Zn^)ag*WGJawDDNNJl3pyKisJVd%`~X8FsPzPtb0Ehn2<`q^z+`lX6W zwpbz6aajU5MBlDdwz~quSZ{bQ zENnJxi;VHZi45O6cNwYsD0N3^rMJT?~H_a0p?FSA@qqBMf!OU_N%$6J+y z{o%C)rKerc87!4Z7H zJ^EV=-8_U>)22F73syV0B1~rTEaa-Ff(zZUo(Z;DM7jbFdV{WgC99{ii!2uNh?*Zw zb!`erLT-t^kdv5qk3*0kn1R3+MWU^}2STfoP+LV%H`E6*A_Eq zzHThOPSobjXlYiIM`E6RE6U5o1yc1iou2L;DaxBL@k6-wEpt4yXnjuTdx$yB#|sxH znGQU_b!}j6kFr?=j`sNY?D0;H?jt1f_R=humlG%rFX^InQ>Fb@B&!$G1(r*9c3!w! zSj<(qx>TU1Xfzc4wi3H{vr^G^P|<3Ze);8>dFY{skfim6BuNqj0|Wf(ul_2dqx&mc z{Lg|P2Nm1#?A!Bv`ISGSDr;*Ji7~I8uty^9bF}4s08px?u)g~(CMp&B4}X$RpZJIS zZ#Y|UX(7k|`}^Z8otz#D6Z6`eC0K7;1~?5>HNn7H0dXDhvhfmz{ zM)B5MmjCY$##zqS=?l5Ie=tOc&v8p$8LNdFzx}nBaL;_7IirJRX@Cch9pYn$<9mB$ zY>=fjDrsgG7x~e=?zm6Jb#Ep}^aRyS6PeC=F~dfkWDrE|2`PSk5B z>@|o7bUbY&*)$#Ankpk*e4Di9rReSD*x}P0@9w%KD%)+NQC=I?e zMN;*j8H4=@xH8Sb!Rv+kc|%Qy1;=;l1Rl9gWX04HN7iMWCcgjgfNWK`Oy&d~gObp!|OT`QfilriQ>MDY!QL%d| zb{#}?@4x;?`k9yw`!toIC zpiabR&`#kf-^i1gd6`&Yg+TZHJa*zA(iv*wjF?|As~59p&>9t9PuqE;8lhl#$O<0D z-NT5100+8tP7YacO8f5%H&)6#`x5 z-~HX+eNX);K4|=y{^mpme;4VoSjNgQ#5QAk%p>avk08%3)~tV0-&&jrq&ry z1!7C@Ad6px;ZN?{G}e-Xok*0qw2&uRtmAXoD9b86K_@?Pw6m=eY^K~`B3WiGQ=v3> z4ZYEz&%KIuB|+oz3>>-_!oz!Vi8sod=2-OtlA&S+*(+orq(zl>%`{Ypl0>M$kV3s)2^=44$8qpOv*hh7bbD0 zt}?92C{`D->MHh`b5t$&QS^7B?XmuK19BySL|)*Xc`J>E8_BBEkVR}#nUh0SY;El7 zHQAIPP89^wOJ#ahjb3XGNy%|vCC5i1KLMeDnI3&FVfS#2VZJdhu{?K^{#+H=kf;ha zdWBV@)(XdlkC^llOLNVr8ltQq$SR_&BFGA2qxq+-QZKA9G@HSpc=58rJ&{EY`l1Mm zf@&CK_ZUvDDl?a@Xm3N?jBK82xa1jI5zse+owLA1-H+zGq9k07GigXAK5{vmHBFh<)R0b0HRId(@`(~Ai&AL$>E*oT(pYA#;Hf<=>}l1dy>ZBrI`KdWE0-_}|46kAq{6$h<}C>p5*6#uqPu zQb8Bph)Zw6yHPmwnH_0;YjF7B@Mq0y=^~C7e~YZUDZtDQv4RBVU?so)<>8QIFpXY!pX% zcd0<3su1$nv50V_%g2)k+VEI;4{^(l+JBSqH@#A^l&|v2c$#+>@-&*|;9RA_M5>5@ zL3hx_KmWwua*exTxxCDCSN}V?>*qKf4s&nxI03tVL(|wHlMCF$PI9otn#{W^1uz7L zqaJ?xzMefR4C`JQoB64_uCutjK)5k^;tX>c%r8EAE#f{~A!eGg6S#GxlY zhxPi`@s_6Xbqvw}v0vPiUL&hbP5e}O6O~ObUMBj^|3QbI#3n#Ac9^&?W-6%k+y}!S zF(p=;NS4grnvHU><%Y_Y#XL5PKwrqc@4VC%Q`uxPwYkCABEq%hJc_0h@!0uW_jd0| zfm$upnM{^h%-7bM_f|_;UZ1)`tTE4FTbiF7?V&f&Tx0$ojOc;AA9PJDmzMb9aue-}OxzR1D#fe0Ttm}a8rgD#d~LnKn0g*p`ZCT&8p-a&9qGpI zY-U&`H@LzG-YA08iC}jii&iEJ3O92yc}+yM+R&^L4Yk1X>O5A9iq$FdnNK{*6AwPV zYvnRqZZMv#u$Zf%HwQDG8|V8o&m)i{YBTuXdJpqNw7JH-9p;+b>o9(s*oi|Q%U|Tw z%Ku=PB^*`(%fV04HF(7QOJBFS|L>JBSo@%}sIUB=q^B+sjdx+`f54QrwYk=MZ1(lB znSY(7@BB7_$`o#g9S%Hg_FzF%uKIx4Yj78N@w%>aalsTpm`<%z-JF#rdX~S#fWC-f zb1{766r){{bq|TiLGbM@?Y&%H=G&9s#K_Gtq{uwt9X9t$Xe#7w?gQLSmCd?%j{2o% z8PFH7I6U-!>>tx{`lojNy`{R!RBE$0%0eN-3*(bCRF&R{z(0TL5$^37*kfKy<;d~G zW>q#t)0tmdBHEZ^h!yVdYr2-VL^(F}*xW7bCXS-%I&aQpaoDVM`W*W{Uw6a%PJjBs z7rxN;8-D%kU%#UPeVFh!F{n^gowpZqoSn)rn_ibx^EpjPwZ})JOeV{FN+h<6x%?d8 ze&O4E_Q|K|*Hn{Z-ICt}bXSxGX^4q>fMjL;VZTuhHdSiuD+ODqwHl1eYy4DEfWEMc z(U_O0*S;>-=oaYFntbmKN+_Bu#=JDdc->EC!&v-I8>4X#17SDGQhndCTv^QX&3Bf# zv{*n@*Lmyrbo==1@orA_2l?)m6)r90IT;uEr2So(KWFw&w8j$XXCeGBH-s^=_4R|t zMmgA(*&Cew(Q`cfkx$b*ytBGUJ94mBZk!>pa-GglH%G)O%%9&hFLH2{xzNLm3xgEu z>y^EY&3miG{pTfBYA}&3v5>89X)rc9p?;@rU)j@!+EhGBly~LOUtFGJBAs9~9OYh5 zQwp}YwEiZN$9&L5MmHVOwxYFmf9kQ1(kItU3Xj@6s0$*pw}%;_hZ_~orrw$kzkQ9$ zmRM*?utvM-^x3ybJ{oo(Y3BeplsJneeMdRi8>vO}^F-piJ|Np^-g|qgIWM6I_qs7T z&6U*pn>Yi_Ci7vinpsN2FhEf@NSDf+DMed74(bgu*#cK*(yXQmYxg2e4t=ZtV|H$vvc4DXbQs@?l3b#qRB+qey9N}cy25<6x~;)D;*sbJxrlll`^ugg zhC!jGkgdp6Hq5QvDiU%_1Y9<%r972N8MoVm&uL$Ga&Gb0MGLYNAZz%@HUwJJA`0gI z5^_tpBrC%Rsx_(WhaKJKreq0_(p^-rq1z-3n}oybq9f`j9`%#UCAfO| zO^!bNB%Pg6#L5CfErDni5hN>u64$rW;D!xH>K&7&`cQY>ti$j zIwWsEbj*BR>ZaL))Pmi+K9)PkjOVK|uS}%4Ftb_lXdvR^;o&f+dV^fMah27@SvtD= zIo9np$5l?OzeyXiw3}q#Ev|Kk_YDep4No6aLNDWG$F@CcEbgV#?_lxuXSx3R^Bj8c zlk`6H)7yTJVYC90@&>Prb#av8sE2FGg?;zS{gfj+{EiLh1(6;jv2%~jT@dAHM-KLG z$l<^5LB*}OQ~%fh`d{y8Kp!UjO$sWqWpjghb2dwP!y#xW>gJJ=2q$~}cU@9#M~S#n zg39uBCg+!!DvH!KK(r!w;&k`)G1lABmKWW` z`Wfwx5o@EtxF&1-)sOZe zU4z^#h54(bSLexA%xtw{^HTMX66rt8NLOfo9(*l_yn2oF+;vjvFJ$rfrfgUHk8R59o-hdkb>yCxTE3OR_KP#T*mZ@$yVjH z%8|_~(j9PcsMCkvx&9sPD0?bbc07#Z44DCjwY|eti&nRgtCHJLt+ZRs2IIbvyRAMS zx#eJ7k=NFofSG&=x$XNa-svhvHA5|*q*`6irYcr9x-*O~5Fr@!Ai12)=41O>Bl4!^ zW3@m%KTj^RK&GLg3L={1qU;^Q*L#Gap7Xf@hzB1m3d_%&DEv# z0M=#^+UL+WO6I<>C1F6IuQ`_OS^Dk!f)4pPGho{25pke# zFV|KIyf%^M`pSB>#%>ci(Hr3Lu?XG!7!gvv&x8X5=Uhc61~l_>|BnXO_zD*?Iqrt&909{ zfU&rTpE%md6K!xGO*z;)6Qw>9o}aRD_z&q4Me3_S&%$9J5U zb}}COLDLNuat$WRgQNmoV9!D7I=<2rqqZdmm77S{pNH&W82%`9+_U5R>~-)Mi+lDC zu$ow>vX#kJHU~#7Bf+*Cj2(XHy&t+xnoXCf8)lY1J8fRhU^5%HbB~P~990=lxX8;V zkvv2AnW95oB<|G-yJxWE7eO3qK6H0ZP?%IUo%w7py1fIhcY#oKnr?fQs3(U@dmR!J zU>w>e`DhphhN93YSD9PMF}sqbTC5_-GESvI&}z`_6bai5n3qu+bu#rjMnlGsJywd%!&M%bHM6(w2si>eRtzc)g&V6S=Cjo``XrdycT?ilgQeZ?NOGH(uiHG- zRGV4)O3J+KUNbxB2<&(-))kGpOoioqeeD1b5Omw<4Z7Of7ceN-RWcQMQ)bs@5eT^? zf^KR1nzM+Ac86(l)(iv`tBsYK&QeXM-fu(Fi+I#kVp55|pbNjxiRkho#18CAnb~yk zaQ0y7sN$>45NpiR>oSOXRW7t)RaR=mLhH`$w6n4d*cO0 z0%b5(A=k=`Z?D$0B&)|0rA-E-9*33Dn1`XLyL~xW$!$t9cb;e-#+#;+Etl-pVSE?< zddu1T+*D>0-7xHtcwjKZ!^4rbf+N8ET|M`jicGm#b1dbA`QN!&bKh9Y((jVE5KT2c zLW4~oo12iCG6R;y3$Xlldpg9nE~JTMr-(XQOOD+K)ynH1Q})H=hU4Ov=fRg|ktCOs6j`>}g6_?f0tUm@;M z3Av{bvkM^XeHc#`%^+Z5i&w_*Er_G+Mz`HqQEn%J18nHAx!|RmsY*uUD z4>{Pofgkr&?18_Im5MiKvs_-vQw;`!^H}LvYlCS;X9H&nm z$7z>#mV@;>5KBwDm!oY?s25lz%tYOH+dA}%xhnISDs|Ot0^Tv>;j<$Y7q?Spn&s&4 zP1m_PpGK7eBvcnO8~CX%yM+e_!+ic!7rpx^MJ(p3%w?+7WR+4w-DJ|$9dI%l_t4?C zBFvvPHP3T%>;Kplg8oNPLc%Ge8ty1W4|0B~ z%8jKoUS9yaKW1jmbq!IL30QT8d^WnA0+vDoBQb%InK#YNWEDd-(4{b|G@WydByaz< zXLh_hwr$(C%^iEkwr$(CZQHhO+i!oLH@~Fok4`%2%4If31W7z`2LHq z-k**51*#1&d1_Bsju}6|>(W&&C<{}y_DdhJ#2109W(3q*6KR-Nb`28#c6`ObzI;U7 z8Y!gJwX!v|4-Oy-0M+X7%E5x(z#Mw2V}{vK9p`M5gt3GzXCF&EYD!V3`DK@r)m{7N z##-^8jCA3AB`OvBmiJ~hkW-&O?b@6b;)_` zrF)>kTG!Z`=K`(>&ODn-@#G+ET|7BO{CVAKdoQyq7| zTOK*v0@T&Pyq8s)O*Z)byE$?Ki!L{y?Y~_X&#V6!lO}&F)#r?*nr59#VoBDb=3OgaL3vPJ%0h^(DkdaKQj&zq92ynxLC0_Ft}3g$sP+Bts3)K}nm z8K{2~G3LOR64x~AQ{0tFy7Xhrjfbt^arNu0$rMWS*8?^yTU+auSCht_)#N2BrA%u$ zIyV5Q2m1gm0*f$uofn%5@|rm-62k_7`C@9|)v|fCg3mqsJ3%fsp`BuxRk?)+(a_5E zR7)$}gs?+;bIDIB@=~Iu%dk?yR5zr5AN+65nxO-OF?~Zi0eZN>pJ(d|@|Fs0H?~tb zx=yB{5!q-@`sj6_8SV#YpF1?4zRyqY`()~s4VxY>F_3rqy&6sVyOA212QI$M!tzqr zOIBEyH-N{Tef{brtd9I^??n#vswXFFAFk(z)NDhg`I@4G7z55No?Abe-ATEN>Xi?o| ztQaKP8VHpT?GoiTF(UIn47hJ-3fQF4rOr48|IO=_q z6T>#YI1OQ495yd#qo4*RmThf-{J~xdrMeFc(nGw9+DD|}0(}l9Bxasiw;~nV9FT|bbLur`VZ9pAa^*4)mDt+m>tYv=ifN>wCM%|jo zCqbCrZ1irefw-z;$JD3N`hCgPa0HvN4klVD6fSYecpWcRmp++7kHBWlfhCdm)Y3yI zCyz+`zk&^xe!wdHdhXrU!DxqlTa)2oWpZF5XUi`6*Q#!ZL+o;R+4(pKJ_l$82ASpS$myJl18VgD1j=GeTYOiT);c z^o*r`TR8~YmYCR$VUPfQT#U9L^QkJqGPae?*0;`TleDbP=_q&K%7PK*SBK!|;*INF zL#7VqnU!O2aiO^~F2hAmS;L1ws5TM@-havMqXPNtlLHWw2Bs2~`*@ZeM|>=7F2PW-=3K@$aphZ*nK(8&)(gaO%iwvgxd z<1GyYD&3a!eNB#AK+4aNDKEO%mCw)356{oO?&qKHKE79o|DXW-5xSp*N=iyvt+syu zWzSrgQ}GV24FUe|h!r&o7G&ZIFqxGzxVG1)61XlGtVviy4z8@DP33epo5@%uVQxVj z%_@P?`Q3+t7lWspx!0~DY#OZ}DHAG0k_4@@dP2nV)sxaDbUB zR#R~4@%d0M|p z0cI6yBc|jOzkoHtJgTG{2_Du!N)WU?jK1;<(BlwPl{83cbB;C#!8+fe5$wPO7$A}3 zUxRV^pCPOz)<`rel`4O`UhxWBWY1Zr#lSdql^p2_smxta2D8WxUFkD0Na#OPPGjBd z)0y6#^Y&NR2uKuKJOW2b$tTP7fH;pXowoPcPxlMf_u5kmr6h|XJA(ESsNcB^&0clz z!9xoa?%gWXxyhHKR0d%OwEyxKSFhL|>j@hv*oBPrbwr!0bM_ws--cBLMc0*PNE%z9 z?+p)*=3f+ds4vNgj$Xx;ohE%WX>cf}PM9G@z(gS&ZIyyabev0+wc_BY!N_Kz5Ro}x z>I3`_7uwou`!^DlI*sje*QiJHqq1?+Lhvq$(HUO=EHlG6l~gU%w7-qE4t1hn2oRMNPjuVn$(qrKhh{e^(Q0^9<@4b0lSyLhifWb^%WqbI?gz3Thc5t$S zM9SkxgQ?aQT-toGW5<6W2iRxl`lDzG_Kqm=%TRiH`o8~&tyO_-7A!9Omt9By3^(g2 z&z4Ks-v%^G*oCpqgVMCDo@cA%3PKGjpt|gm86A_u+rF-|W`Ce>Yi1j?hzbhTVp;`_ zw$Rc=d0RuJ3U(TnU=I*=>W`YX^vXEuWj7DAv~2V6P};ew%|rQT4{nBgB~bU6ONwzj zHN6-9moDiwQMa%8j?9eKNnh214Mkz41#I=qlh``b z*tRHjw9<-qcp)CwHWec#+zR`XuHiRY8l-i8JhmmRM+=8HKi@YG5I(mMpPMsZ*glV9 zK7%!1>op9_%!B{A{bQ%Di-5ijJ9E^>R$R@vntwyJZv5-==q?5Q$%4DmnsBH6j*t5l;D$#W++dIHUY<0*ykt%N+?GEZ zembjUxuYu5U1w{K##Nvjisbj4mC&NxnVTan1@Z}R&s-Coj!a9I&dmhvLhSd(!p!bN z+&?XQoDk(U14mR`fPej(9(T70tTVkO<=?j~*7pJH=$F?GA9X2O_FD>JQ=luXAFS$r zY}^_+sZqFz8ln9wCo`duV~9!FDGxu}$jr=svcxk7X4g>_fzIaoibF$fvvN9;j8Eko zJ8p>0Ngc$~rDSvmleU_M9N$y_bbka4E6R>b+LyKdx!GSnl%GHfl5=N&?1{H^`1McU z-Iw$V5EZ1dN;M?@l_8zMJje-I=TiMXYCl7fFR!TjHo$CB7}Nrms4{5ku;rL9RnuWS zSwykMC0rg+O;Q2)6jgse9ly5_wfhrGauO7X4=NgtUJS*6DGzwUsr_5f-=vowd9_q2 zrmk46lz(~Gh{qCcL{wGiwQAWTpBAv&F3bjlkUsC#4lX{EE}s0(6pZlKb22D}fp*L{ zNHZh|fSr#WP4$Ak4lS!(3e;)PWv}(~SU#fS5O(jH*gO3lnFfUu|*a>OrWm zt}q1ZLtVKCmBtA;x}Mors9SrRs(rr?2Z(i-1L2f*@rBX7K;tZF7~pteyWRq2eXtx^ z2XaAQi=Da*Q>cDp4K!nX##x`9ZEp#k&>A!tH9>wOMB~`T_i#(3H1*4m4kLwlY=8I~ zPyy76qu+TwuN$EeO6aO38XO((mLBzutRZgjDV-)g@+RY(VvZQaI?NPIbII?E?|BX# zMolcIMQFkJB zhNI>g(BGcHJQoLc0Ez@KFynk~@E9-5@Zwb=jYq*e0>>f5eu%jht&>#I*e?Z>748JB zSHpj~&d$en317x_a%Nm8B;YFh2x-$Qqc5JZ9c>=Z6&qsu;GXQ!dnN>!O|_V?YUij5 zL|RDLg{zD8Y$oSuR6@rhY>CWx`IZ+;SecvHkUCCE7Kp=1Cq{|ZY+E+u7Qn63z7Or& zTD`wGzrMZ(4H&#{1MqA=U+qXqNnLOIAjXUsT>yg|WL8%5n3$L!IU%2Q8QA5ETKk{f zt)u`eQ)&Q;2;jvr;q9n)J#<-f)x#e&G(_0e9>04+o4#8B1R5H-ny7rdF7!Q-?jKBw z|G|Bi6=MOchxx+p0sC`UO=VyHzGb{DuDHjBM42hF%}d3{+9$th!z*~fr2qLp~GK&(uCaU7*lprTWvD7kAL z7zDf*;_2Z<%~+VU2ZvZ!N?QYYE1!&7B9waL3@0ttCz2w-@-Wl z&Vx5_0u!JjSgj0=hv`ELo*tm)dQYW1?Rb8xJf`|z)T1AX>~tZ;MLrF~V2QVPA_DVf z@`TOqbYx!#7cWA7hL*mgb&_8Wt>k)5gPvc-X*+caF!UeT7gb?RiGm0g4No-UxJ+dYG1OPE9U!v9`#PvnQqsmL7*NBlD`soL7a;3W=FMSA zo>6L~iW|?RsyQ?3xJwAfiA-P)HR)XxG_G8;?|6oNK6FSLPD*t7D|6f(!de#f?^(-; z+T)+mJgk43y>-%3*hrjd2muhZyH)kXprk{H6{Y{~q75^=6JrTv|K(d>0rpoB@3R!| zup6JBkI&1Q?@QeZ^PwMV9+Zx;K3Gw0z!H1O9qPFV0pcc;!r_2)iA6>hey{lCKmn0{ zv~x|2afWavrOj@zH9m#w{&4^oyPhh=x^UU{eMzaM1wC$r$9jA~l5tc|dwV}z4VlKc z6>KyvR@CiV!j?w`3QJpF(BZEHk+`#X6p`3oB%w#=Sv0uqE${=<=BXR+Jy? ztdF3U2|Own@>8?q#_HsK21|n4NRtEEOVKk|g>0wmnlgj4Q@*+J#R@bE)}_qIFe;4; zv4W-1KmsiRxti-8WnIZkc+^EI^ywdddJIzgc>)XMRv@4mR@zymBpT*ybe4!VWEGu^ zng->i`F}0RRiQE_`nm=bcwNdv{6=vviX_tFloASmqX33XFxrKO=Ow!sq=*qV7Y}RA z&MaVzN~dF3o9ffIs{MN1pyf+4QwSpWq8u#n3|NsHyR&2wPC6KJch8>D=iq?;h}4h~ zQKHR-qYbZ~&3;|ofpuIKSE;pJxpZ!o*CSCeWD?Z<9(>I**{DpmtXk1wkis>% zHt-!i>H{ORb$NNhx;_(+^)fMO3mvOv^Y3WZ>y(Zv?E!jqnq`0nkP=`OhJQ%` z(Gf#Fk}WYsGwYNE_*DTgdM2bz9CaJ2Idc1$(qE9qZ;VCh(q+}TkgSZ~1(l+Bq>DWD z$4PZm=^lyct$i60D$}GS#}%lxoPB!(H*mMTdVyl1{jV95(J$JH&P2TTaWS`7Ha-~% zWODca+1+%%k93a#9m#uBY&)GK37vQc({&lxmtoyN08sAP=D^pJwcv_VH8skAU?-#c zPG_Z#D^%GhFjq_F^<`k(3edZOV-+n1o5#;iiUT#--hRNGpRAqBxEKc{)7kOVbiug$ z`xz0+tAH8{+@hE4|z&}Y|%nvS( z9Vnxz-KfL>hlQ?6qfT}#v&=%M4WsCgWDZ=-AtWrI4xH7m*i&0y|UXty+LvsrfK&G7BT8Or&pPkLl$iYkHSYqO@-r%DzY?^TIuFTc|DAxruLI0a{SXKHJ{j}=M>-q8urC_z4Y}Q*iAyALo*RAO(9}GB6cR2$t~zF zQx6KL16>|PSMTbbhO^XOX>0t~4lY+j3Ak92!3u|67D$3s-mQe;Y1oi%wTjW`(Bt?Q zKsd7iSY`!?8&0R1A-T?h5aaDh5=AK#9KJy)pZ&zv`a#xG(Mrt~uj)WvlZjo&&y?9W zWPlV;-dSD)1J#AYUyLX>8HB)>jCIEn+gItcr6~KQqr-OUE7;3TQFVV(d$3t88@^=-^b(0>cA8e|(r8_*W5vRNk_?UlN}Q*e*})$ul%&MmQZ06;h_moGHasJ)LDV`}jwqd89Sp=6Vx*Cv6!6xbewq zaCR;uZs&kvv(Hn}@SCoVapm%QlX)j9``X$DwP1XHwcfFRgCb-Sfse1z@iBp7H=`s? zLCc%lAE#pMTnQ)pTGm&y)R6R;PWP@cApyyt!}m^)pMWp`AQ8a%Y%+u&nP>j*3B1iR zOu1ORNm-)+NkTQQR+A9_Ox*%wVIo(>8AbTP?=1YXw4nzk*t)z_c_E|6G-Cmll@BfW+RvMSXISK^X`TJ^&yJT)5S9jRyPLsahIKlW5=c z{5Tr6(G_Ioia_fIg4L@)L0--QYi>b=y5?|x!z@YUPy%OM(a;!tc5Ra;{hD1eI~Y zP>;_4#gkgBV%-0iO!Bxr8+NSQ`Snk;u-!q7#umBo;@tfm&kMwvt`5nP83El@tyvnE*%8rx=*BX( zE_p3{6{)$i>%s*G51GuLj|bDYzE?s7u|VsdG>kZE!v6v(oS1oRjXtWT>LYuLdWWrgaHU@8{q6KDStj2df4Ua z7kh7P5uGy}){yLP{~OuckuR&NKF9og%C)sB6U_R+g?vay-Sc!YHjDGJ@|9{7LB*tk z3whioX$G5`*z~zS)M=I7ckFcaH=U_~e>v~NB1Dw$3L5uX>Gzrrkyy4}Ev0LKR~xUu zx;qW&(I$|Ywbr#8y7CCX_ny=uI7+!*q6S8}*9Kej?v|f9!P3i9P|G9Hupfxsfxo|G zi6xeo^>yFTTb~{ijA1ZpJK=obS+@u-IBw(S7}r%I!MxtG@xWg$7lT$z1UJE)k4xqa zw~aBs*(dp~1WDBsK*B#sJ_ccl z^aM=O3aLqJp38ml6EdL46)2F06@cfzf1G@Y8!lGA^=KO-iMgMK*j^DagI6pe7VTKpU{SR)7&X zczV;QrY?yE#RK*LS{*2?IJ@mOSzQiH*W5jR#5Ux6`{`Zwx@_h(sZu?7$KoTt!8NjU zJ#BvPcGN!kSV06h>fm2EAX!(2MPa?TP>$fRtiyDg1E{O=F*+Uh2+_)M)I)HKN?hRS z&zNY&&aD1&b5s$OIcNdQL9$4j5RCGSy)mnAn9$pXdj=J-nwL94MKONKY zwB+_()*(BlcwSV?ECG&vEE~G}&9;e5US|MHnY%J%lU3A!Yr)E;zbFX$hWgO$AN!;{ zmnrGmr5VEffyGQ?x%ut7WELAE>-;jWaEV)V`_ka`#DRoPXB_c<9g_Lap73{fX9MzeV8S!)GJcYdmk8z z>2&5E-&e`c;Nl|ke+t{y*4F1)&NoFsK)`>UL@vy^a7etTx%s3Po+tN=KJV|yY~y_W zy_35D9bl6W-hlnQ&)R}-BDu=c&HLERNTzsZWu$DC;?oLu8d=4ZQ+qF}&CQxPJXaIG z5uPZ|8W-J;X|rr0+LylwHmpq$my%Lv*(zis7--W7-3Hc=#R;Ki)g2sNNzo z_eQSbqPeh+RE!=cx~?XLyU=D4-Z@cjcSx5LiG=M&JjbfD!%SAT{(eNg)MGns zGC*qoYsIH1k1?l;zWXnJ8dV+$Zbe@lEZV@99k=z$@h&95L71LMI6%svq}rBkW^2+t zDk)P!t8VMgm4xpq{goJjT@g=_wSFL!>+<5 zgxvn)bxokL0+wq8)TI;}N6$OBs&;|COTrabRBH;=jp!+O@)C0O5%*RQHHphFDozcp z$<_T;aM8ORe;b+R>>-{fSpBx(5lq9<6EY6>!-dDk7`=^|9KjWh)QsK!Bp0{6_1`v( zVZpu|`3&<5eO-oKR!`VwQJiVQ*;Gs%I%!z^b5^Z1jB<~wZ)G2Hx3@e*R~_Ix1c&y? zYhzfMU7lG#>FvRle_n|L4urO#okyVB3N_8T^avG>Hysf*Ea=fs4<17B_VWDvp4lI1 z2AYFb=4!a5NOJm@IKq#*>H2pQIygIRMDqWY)6r~sCcIB_ID!z?$zJ#T5O9J=Hzr}& z7#q*X7`q-M$Lfhh?hQlya82#KQKA2)e7IjmA36KMJwz4#%jxA)9>kUkE8dAvat@ zeh}XIG(m-^Nmoy2&_2(@+(qevtA-~`BOR``!m{?Eyn_6I_q&tnx_amoIgY0lBjS69!-&Ks9c zNCX<){J+%A5y8CPl%7xHY>(?UF3i~&;Dj*59aqz^788d>l&m99oPpo05uy6%gI%z& zE?e(ty75w@>5((n1?9>V<3nBn;mM#C8s^NS%i-#U#QCVAw$ck2Ew-gDH!yMw1e%EA zha%%spwE&6!<2TSS4!%}WZ6ql?~R}+a*6pp5yPH4bbr++UlmyRB$~vxPmcnh zNaG3MtB=sNT@g5r3ea&1u=zskf=d1-IMGfmwboTCSl5F<*Ma-vWbg#|Mf2(9QFXe2 zXcIylNTDV-5T?Vv)lbSaWhCq~>$C};+;0f`xP}db-VP&YuX3&);?_+paYD`rY&_y*XZS|5TV3k zQF1auHOc(?=6K_#d0_|+MK0NW;W79fIT5g70dyL8k$U5_lwqY#j+7!ovsox6(d;0t zsMNxIt}WM(56Gu$ou`fMP8WE-2}ej;;S7`(S|-J`kqlpR3gNjOktvkTrV-JG^|6rm zQZ$n?s9(WbK}+wabv&yNm>gv)QWy@15ywfP}qlTfFutwlfB>iD3=0iY3dU#E} z)8Qgm3ds}1S9)ljuS1C1$rRuYrg`o~WyOs3QOjfi4E>}LJ6o1jI6kyO<9Mzte4TP# zIH6rfrwzY?MQT{M@?2DLn}iu*D5JL~LW}$nfo@#PDGPc}GjFo?>xE1BRQwVT^@e0< zKTCTiB_X(7hx8#U^qOTfw)$`Ak;_4^KZ8O^&l&dG1P$kA|InFg6ss^>onTaHGdAs9 zK=VVSr(ctM^~fkS75~ULJld}3lxR)Qrn;kqt4+B@;nKs^Yt|+S<&Nl#aT8bs@ET(K=%+FP#4`n+|2Fm$1Kf2LHHe0mt?VOCFgm6o0gQTCh31^4t+Da}gy< zQQL~I6kfPIn_NW>xhr|7Cw}-WU5R7?u$-lo(!^5IY-N^GZJ4NYj;t+^zaY3g zuR1a`E06!8yZaA(;z^h67~tz2;NG!d*A2|d@&g}xt-tuDiD$YNbol`0{2ZmPQ#+qB z-ScqC^Fo-VP#SewI-)SdHuvaSrb#)NpT%foa+M`F3*M2ovdMI8OXyn< zOKiB4x4uu8QVf#KWO`k6k94_6?De~sr1N8NriAL<1xHUEc+X#61Y}Ef*gme?V}B~_ zWJ6TE-SK;K8`9=1fl#SLAA#y^eE&R%=;Tb-WwMRT9|h-1_2Ww2&L4r-P{hm{PTiGV zQs4#&MZrmFZ4_ng zc%s$}W))zZq&!^2^cJ>!4%HYcJ<%tzNxt&hD$ahk?n3kTg~t;>wt#d8n^79h#dH^Bs5X?iDsDr7bZ_0E@*PYBqR%A)T zKkwGSwzFrH0N_1eIp6MFq#iZmO!Yz2QAmH$kd-Nre3R{via)V*1#moIVm|AaR%^g1 z@hPugQav+KqJH^HQ)C{vK-$bj&S-S0qB?y7p}53(9soRHQ`t-j2?W*!_Hoh!RQ(Vq zK~2C+4DZ-j+!ZboVC0ut!;nV3P|AGTC}4`t?Mww1Z0aV;E0jk7UvCll9GM=H;|`2E zJut6%>>hz@$tBf;_8ed7eaR2kJWl`spVe**?_hdmUVrate&YZH%FJb(nyW2_6)Sm# zUtZ|iC8fyQgqvnG(LsLb`XL z^&u$gC~Aod_&Rkod3ux)#su4=G$-0G>vG|4S*6Rubk-Hun=g}F^8bpqDmx9`p+(^0 zQ3g6F#kToueQmVw@6nPHHV^*p8qS%~Cof~AW&xl2fEwOHB^!@K+t-#r2mt`b23|im zZ2(@sdo=4ap)*7#z(=Wvw7366XqV%)@-pY71gg*2rVYB6w@0ozVG01r_49`Huq?~G zSjoQt&N%9ypO5wK3pl*hJ14-R$5t@Lktb{tLVV1MqgSXD+J;>0Fub$#@%+@gnb-zR z;Z|z~^OUhH*k=#6YCAV4KSP`@&+}cAuG22-b5ynFB1?O3Yk!;WN5UMBdkWlBydeAW z%}RSFCB+-vf4`Cm8e(nf{_hRTu zrtN3Ws&#mn1O&oeu%P7Z; zDu_exe+M%0`4@@i(41?GrAd`A5Q~1>)nvr|TfGDxolf0`JrDlq$6#iA+B)TW@=uFO z;Xd~3QeedUj3PWs?^71gE3%ecIL`<57oR-Y<=+%iTbMNWZ0db#LxFvAVO*}`2%Uoo z@KhntG_zFWwwHR-rWe)a7!7s+UL6yNN*aL=FJscTZmkad*_jSru59W&df}(^Lu6@@K841_92_eCPncKZd zUS5=AE4u6>XuR+6aIiMKyH|^yrY&Ka>+_v1Z|BCUXr^bU7`v-HBg+$WX=6{gSabE( zlZ^pV<_2fKf+l4?_do_aZgw7B%FFMsq^LZzBzADhj3!HO|-PwZMxY=m}>cff2J?Bd2giHZFFi;$)p z$6YcPTIZ_GQy)%x=~o{cshpG1I33upw%On}O29t%bEUZ6O;&I}trl$h?7tT8)UEUx zGGFHnm`W~mI~{N%Q8h$5!`j~TK{y}QfS90AJD(;WmFIbloe#B*b?g_+M(+%H%g--l zetfUEog(S>qGB+*?Vmx3#}uqc8BxLjbSH{_WbOgw%&b>!lU=}5tSN(<_RBmJ`wEuk zpFf9K^a_oPN)Gw$`@3QKNtqk$j~UwsU8i<$K(%OJXTy?lObHa$m5Ixkkt7wpfO5B( zD3RsoQmYR^{V`+>b@zorcE7jHP`u#05^0Ews?~Ftx}uTdr^xIob&WW1afvSRcrVR> zyXG%OHi!he-usP3Mj zGs5#aL5=}_Ytran7(O7zm=SNO4Lm|RcHYr+{Jie+@-PnI1-dvfvc-rn<4<( zM6swosxqdw62Q|TQ%JR&%Xerk^^8EDAt5z!T&%OD2Wu8L*-OZ5#94g(OJ)IpUQClk zDO0Xccf^3k2?2B8;so&EWPK_r8Z4&oSn3?kj-Aud@sTgFGbOtO&p0HFP3U~trA#t2BmlMF*l1XlFqW%{S6XZ*Tr7V_&*f8YW zb2qs@t{sO5%T1cq6#&WvKvU=#>#SV3+1-oNR5sqQMc--Eaki7#3J2)kKlUc+E5%HS ztfh2LuQ;Cf;+Z`z?RX&tQ-n@cKq)`i#X75&h(}lcb8`JWIXfzxD3j(>R7e!na?%I1 z(uk_b2y>7g#KHRl@1oKASL}^pj15lKHb=X2sFD>^heMktPi3fHrZFroEyNXktL-I6MN#y9nxExgYR&j)66)mR^Gk$4qt`qUm^TWUgozJh*wJ-BT* zimc%ZSJc4w&oXPLywV=9fxcM4P{e{3J>U%s2`1uZM>p@85i84REM8-h*ZTX@#%1s< z4b5A3(zU7>-O0=lz{4h>tTX5@*=uGaGyS5QKhtHY1z z6pU>wnosLV1UImI;8Bjg9gTe{YtgcF(vYf|Qrx5|5^QMF&~T#q9K_|Tk6wukfRVL$ z7)J_sL62;HQ2zFgZO!0CX~9@`-zPK)XD#+C`?XG-A(j-PJCAQ zJk`9G{5a{DJo8g7p-e}XxEZo` zlreWznD^4I-V{4;2rFfk&Z#Sr&1d*fCQ+W~@(kpGgruoYGInGNRk75PGpeePp2B0? zo(@uz2)8xTUYXQcjYeib@NCVdO{8L;tc7=yLRd6}Ke~azt}nP=P+=)2)Bkwc_HyI1 z;5o8r7}9F$bLeV1WP?Hi%AA6=_2{qsCl zuRso!A!6>^Tcy=*j~IuB{i(WJaRAuui4sT)Sfz&YQ8=&t@?r!%yDB?kD*zk?^9-)j zxYmf0eHHL1u!j1DepuSF|7a?aXT_WQSHFZi5#gLAxG%MbR5I68?(3d>xg6i2rl$@8 zWF_^FXiL-ts*ajCJ+4*xE=?DSq;x|LJ?~~xoz~`Yz&OU1N#SooK+|8)Xy=c&4!FmM z-dmh&{RO&#jve2nir(M>*BdkTX9sxA5@0P&iraNzcYvl{MoT6q`g`!AA!Eflfl(+I zPh`RMy6xokbcAnAP@vlZ=Y1=8ak)sZWqf`Zmi5DH@}&nWehCk}arvr*_lbEdyxma5 zZ4qvuAMyEf(RrZxR3JfT;Xm$!KTsDiM8Pxn-TNbH5{43|#|dsm5A46Gn>mP_!%N3# zDJif-8rWgENRb7u|0W6mA;@~YAlkY8RlHF+ zhOyL{N3BENoa+_fx6FWsK>Dl;YM{1 z2q@~0gs^~epKv~)>#trLmi2t-W}Qc4K7Av`YhQ^P^>B-%LWq|7W}!=6jk#C}fPdV0 zDXn{jEw{u|^u!k!nw*3N%%#zT`~I6td0(`6N0=`ies5ekdq1i9B>8;U{9NI{91jF{ zpeTPv{H*jGi5++1daa`_2dX}~4y10u3Zc*oZO ziv~b(0nIfturj<@MN(10lLqd|8Gob}|FBlpqbS577^V4&lnfBSH=aU7gey)fYhTPK%3IAoLxw-1dCWe(O~ z<`cU2nml8yRub|6lRF$fXKrb0-pSpk1`Bye+RI-fcn7_o`$uU4`YyuaimAhv2 zN;%nWAbHy4P5tI(ExBh^6cgTnMPmSt;SDfufeU7A3IH>eif_?_w8GGq>GJs`{E?ta z+vQm$0y%~UV~2may%i4)$il*XF1P&tn3Q2M+!5CB^Z6OZrb{dk{^bQND#L3&YIWe( zM;{X@eA}o1)!LqFOsaIG9%JKUU9;}{SV)o8zDNHJ$bx65F^Qu?#05QtOV1h~jDaY8 zUki0vrL~iwO~=E7?f30{m9YdFH@GuAFfuP|7g4ddmOtH>f7u;pU3jV5^<;&B3vB{$ z2hAE?NQwufQC0z{pHBt>H(F^!Y>%Mbxg0I56YbKCH842uONT1;NhpMMhK_C>FWz)l#%6Kc#7=ZbBw=7Yf!FjaJ`;r&jeuw>9MX20%mc)ZTa?mB^lp944jq@f@nt;y zED7ArG%eFMq|)7^Axv6`=>Ncg)-}tE_JG>ApyiUkI3^}M?*FF9j#TqhCp-^4eEL-= zhKUNqUI+cMK0cm>0FS8@U82;Ux6Nh7PwnG2-Y=9VHB(42Vqwh2av-!=B@luD9G{s* zSLb^{&!Ok=6w*u1s?Us7qW-yv63jm#6^D9*6RbD=`RxJb%!?1fRie9Iz0i=5mP>^q zVJ0_*jy!i$GMm@bQqI&l!cu1kYE^|?I!n&(5H?n+m3#WHc#dQkOOvWt@beP zjCtkv|E++0c5`!5R+7E{-!Vp(Q>aX-K%2th`AUyF<8k5nA+Rg!AFf>2*Ym!NvhC`U z`7?Bn2>uIfKxBJ+EI`gHJBM>g?v_=V-x}gfG3n=ZpLxgo08{n@!!q4ZN$J#9JoEA< zf5mE``U0}ve^q{p&lp8O6~P!xKovgyY`9(3lu$uH0p`=0Pdi(d(~B2CGUGv84eozC zqn4rq5J`Qb`Il_vUEHCZ-yz+llR~!i^%5-9DMb=J{frd)fz180@(WU;#Zv>abn-uN z3eUkBCjrFsbQcHJVlie`4=W*LFgrJ;u=uz#i@na0Y?_qH`05|h$odXxbWhLMknE$3YF&XgSB6Zc zk+u;X3Uk-ajoQ0tT&F zEdY4mW?I5#CU2llT)xo#Ez*HbzY|HTwt(aMWB&<|_)wUP2zu6RKKkrzYBao!%e^&cg|3%>^9ft*}=z2Hc3)kDGf_~MYEBcBrzg<4l(`u%-S^*c8q$cDb1;p z=)NMzHRB&HtR%~7jqgpwXxBNfTc-FlP}mpLXUjM0>+me8kTN62+3#PCUzyTB8=rdh z{_@Mh(q%`L7F@}ca8oGeTFpaf(B;b57mMV{WeA?%_@?iOUx!EzvwOxp&o}Q#o&)O01 zWQN=xKGA<}RoM&^1pZQGU22|~s9BBOpT7x%5R1+*EW0FsHy^ZqhA2oP1`Iz5xBReT zId670si>4s0pvQfhINNE)8uW?q`Xp9LC zhLOt2_0{9{ef~NbEjCC@veH{Q-Wk+xGhO3g?Ji@t$$WX(VrxIeiiw{xsl{;GY^uwY z(^czw#2$)dANMQBVxRe@631{Pgp-`Tx|*!t`lz=AT0N=1QM zR$E=|HsfKdshB*Grx|sOj_SebaS2UXA3oeEEku>NplMuOQ95Csu1Zo6XQd(wbipHD z_#mBmE=e0r6)%5s#j@_*x7%+vWuVhWi?&oHgqOJYwqeWu){Re&AAG86Wc}h~vu+D& zXJksBaHJ__(r_Os_}qV_|M~tVPpcG;8tA>c*t|3&*LJRoq>4*orcA!__Ig@U<8Zyj zhk(O94B`7E7&D3w4hFaGxMKb9c)r<*+30HYzH6GEk%PUvTH!pyiiwTul?(o5{t|qZ) z-|zeMgh8roWQCo;%5NaJSSIDnlLY4fWyCGeq8%Pa93F{%wv0pJZ^fH z3AJdzf;4e$7@ximAEumQQrb@Y9o@-~oE$aT6O^OxHR{1I^JScXDy=jeaZEbGI$pRD z>nP49pa=EbIvFM)s6T!2FNfz~6YMlE9o=!G=-R;cTlghRcC|F8+~>P=c1*hL&J=lM zhb{Rx43Z&p>1SaPBvt^QzIF)Od<*~7w%bS11ln;9?9;963}~GZRmc3mrJxi#k1FA% zQWk&J{6S30u2OQW@{G2+ga%~bqAQssln537uZVdubQ;#Cl&IHLUb{dU8$7=!yrAWn zzROL7W73Q;9Obo=)~{nO zG@cPp;R69u6-o0Y)kLKM;*B4iVfVwGku_?y_$;`j->ja{fY(`@SQ)ohAgl;WhKg6E zOL=Hzh34{!DYHAN4tZylwFl#wb^Q@ zt#Fet#}CWT8h^N;JE=!*Od0DLTA&LI*i$ZVvcidg&mDgkAWD*;ER{i(cjy)o&i5sH z;Ka=ryVVS>2_GbYDobJ}sTS787@bVeZKn?Ri&nktPF$ODC_arcCjYrnd zxda>dU=?KvT~LJ1iY<&CKZpt$5%*lv9Z97sHvDxe477uiNLQAa=qg#!R6c2OV;o*@ z_d4V5t~+kxC5zNsta0!>Z~M#}AM)ScW_+f7-spaUELkUVKF4xyxd7!-6W%xWE|iF2 zpt>I#SaeNp5eA=&l3?yl@nP!ei2j!fnFkTYY-?t?V&jrV3zEc|M2Z()Mi$RUh*1tn zaS`Vjhky&r(TMsXnN$%Y_C-#vgX(3CXc2#jDq<+Hyd;M7I6IsACv%4V-QjPN)Cr@t z5s}7gp)vR?Kj-~4bnvD)r)Vej#s@j(JLO=*F5q_4v21gd-;bCmhI^o*6v1K`dLhP$ zEgDHS5k}4vY~+R%VUEH4#A8OxBBWeZ-G%&V*hF0JzqMIq|5lBxwPK|>d|N$M5+g(w zK?=u-IR82_n=C?55%FgcnS>%n)lqQvz{S|2{oVi7a)-1>MH{Ai|GM+mz$a5!#>GIDA59riN8Z`knkNpfM z6R4C*YFf9jvuQfiL4jneBI|4ctB1*0io>1b9P0}f#md%{8i~X{;J~?4I5SZ;GR(uK zA$FK@zrW53^*6(oUq`Z5ESS7!(WyDsH%=&?rqrb6p`8oM8x95{Ja=M*cY4Q(7F^S% z%JXF6KPIb+qQlJHJN`2d+<4c*zr_L!hlhE->v^J~Q5w@}ZZp`zJl^1q=@29b1Dq&xo~*zk!9Zi{#L7(EBSLBiLEsl1MwTOP;d*?CdlXEHiYLl*8a z*Ws8B;0D=I;99?A!aI}wWZwHes;FO%GvEH1rNj5G0E%m6%*er-bZU}pI%Rl62kj88K?UP2Kc zjp;0RnrbLf6pRa7)yy0fOD#A@l^8Vq{PYk*W0Tal9em}U^$UhCogSQ=SF*aqq~%EW zIN9hVJ5}fTe0dMm+FWrbg+exT8g2v6cH$Xn-aH@8WH%qYcZgInNtr&yCwEj9|IS+T z(hdVynepHMHmR4sjxst9rc$Ka{@a2TzOz}0;mH`C{s^N5c|Jy+inL;!pPYY=(0C8K zO-3HBZl%s*&-F`gj&iME++lD5%vUP|WQl*PUd_9`0YWi(?*8Pis;geTY)uoj3rQxE z96EG}7hZUQ?|%2Ygu`Jnnat8}yiBCiX*O)wz-zC)hRtSU=gyrRK74rDp-f8|6-T>$ z{N>Nyr*AlbGL=G`kq?JD%brRTpWR-8L6PPAub*ddbb>~khEFt`k-82c`P%cP)&Y5; zG{6$oW7Q#Cf<7n>$qrrIoMgp=X@;bMLZ8bJjN)_++j59PDqtb3*cdboUK$+|- zPE^#IWy#Z$S~(_u7NKN_NGgI!W182X7@CZ7ymtccRJ=%K$f{Sf!DG#PZ{F!1qholC zW{;CSwN^QvbFv>&Q6%IWTLdGMIu8+p2T7qqt5#BK(qcDiP%D-A#s&z7#xPr)d4ocs zQRjCE5(+imgv4kZk}3^ZtroOe+)f*{l_fYGHk5iD!(H#;^9|yzZlJ1lmmL4=Z<9S} z`OYlQEynAXRhe`)1LIL%Kkwu8P_QV$cy{vM>33dbw7-M$nr61_*qfJpBoQK=g}#W2 zj+Bdl#+}Betnw|M#K1Gs(Wm)KYRhFY%6Id6mKbZmMb;*t%gObiE7%M(v~1^)P*X-PG1L@WB4-A=od+j86>%&>hThbX?Dw zn3IU66iKN;r%|%4+RiO4PAYSfz5n{=Px;lUce!ipZhotE9i09l47>~JIH{}xf7(c| zVFRPCn~9gnl8>_!jF*xWe67vP3-6C|-W$#f4;ZvcuB&tK;Eqb_oM!&*&0lhU@GLD= z8+hpEdoFlPPE#aTYH;OZ>D!7GpXNz;FXHS^WeM8K9kAiPi*Czc{}GNH{0V#aKS)*0 z-itcN9QoCJj!kz#!n>xRVA}#7<=N7lS11eB%CH$UG`r2z<>X)&ljQ_i9HJvvTWDH7 zTcw2BQd3b3{YYOsLEiv2S2Y!$ntaI2oP_t>VtmPYVV=J2@`rh2z69ec8~a+ysLfS; zFOoQ~Dw7kK``?*qOMWrFA3QtfZA;O3F_y#BU{Q`u?^Kp|$F#Y5!AVxBnVF*sB&!#b znhwQNywy3z(VoB@FPfLMv?6Jh1O> zc2_pY;uZe3xuP7)aTqMXv}ARsZ>}6{p=9;7CWpLcMny82af%k0^+hhP8oUtiYyr;Unl z{^5<>zU~t=yIaY|6TEV|pL0E9BxA9B$u9-+1iq)`qGZ+b~0V=&PzS1q1yi&8CnwH@_x1>{A@ zWHY?iALP6@R8;6ot(23Uud6G;Z8gk!&urP#R3^*R*dXcg9<=ER6eYMNQM`8rHxHOq*lPs@d}y5EqKvZpcFq567x_hNw%t7+oNG)LM8IDNK_(1Z^~ zR=&xW8We1)D`(r5Z5T_JNU#MCo*m}pH{T%RJ5NbA*DpYc#lX(3+t_yFy^DKHkv*aB zwDoejt)0k(4}~P(*jy$Bo9iptws|Z1lH%Q%`TBP(5TyU;Pl94|B^{3R>fhkRxDI2quL=S($1CxpRaGH^L);G!}w1uYHsdt(dkD;GNlIA!J zfJG}g&nB79a-?gFx4Q#HbGOr?<@$OD*EcLr1c6K%2Hu9AH|4QAjlnL5OE%tiVRKZ# zi$apef00d`#S)hc;X2Z3I%`kM}M@e z&!09b{_AhHpjMeNMYa*kTJj+{02-x&$`S+nTAf(+7g-fF8J0b+6FtR6(zIrIBKGVk zieI0MCV96fz~DrbWM-xQNSZe~ z{G9Bc%on>;k!7bn#7(v_YBU9ls|%HUoE(sMFXj|x+9=<+%QqFhd_Fl?wKB_ATb!G0 zKI+v4s$2$pt}a7yjflxeod5gw0I#(9iWWhYx(N4`^zkv%IjqWQl^L}hBiwkKe1j>V zZ#=^5=lz^1kbTrBvTV1HfXz?t2)Tl4EWQy^ro#7p-HzqGIwr zRMNB(mIgfAVe_xaJCX&w*Ehj)Cx`VU^t4TTmOxap5}!YUf|H7L+sqSlLsGsaE?*&^wUrC+0TBK?|kPw?Af!2C!c(hXP$Y6 z_V#vMF4u|~760XBmd z_W_D%fPBn@LQQ|tNN>tcKv{}kS(dl#l?pk|bz8NahGirX1`|P|=_qE6dBI!=Aa~Op zg~?tNu>cB<0)<+I(qQ1Npn=072SH64L5-b+QbS6mA*0byQ&GZyxT&5!>pUoQ+PMYK z3V7l0GyLHF9yT}Zp{b-mf^zmnoz3Pv1FSpLIF)~6Ay0laPOAfLM0i6-ZxS79YPWI zgR=Y8A{k@J>Y*#H;P8Z&Gi;$ly(9lzsaeY{%}zeC ztzt$#cmakddl(N7<90M(v=rtAGc~;!@0(eStM#DL$%~otO_vlZ)ZN|5kKZ`Mr$2i8 zydgTvVaV&J!yl%p(!F$e!eS1CY(}oEZu4C9cN!Y?(lHjNsj}>nLM1*J3i4k61gWfq zzF_B|!ltL$ZN_6;dJ*(y+aUk@g`@1{AH7c51CK}3?SEOrTY5;%CPlc(1 z3iBe4#cT#9`{emDT;Lhk+h`y6b7UxiSJi-znZC8?)m&F!!Y$2Z%aRE_H!{IkI4S2| zE!MxOIP|?G?_LzhRbz26BuN~OsOd>>z$eYzi{_QAo^LUpt7G%ppv2RMJ5f37(HP{h zd!fcrk3YiOJ>!6cB+dMuR)d;mmxX%gOl5PtZP5LSTsx+)Muf&BJ25tVZ0Rb?>14rT ze3rvN%H|x3H5Wbp2PdMu*FOQ0f_N%Zl;=~IlY?E3^4$eF8>Yj3XFCjZ7RJ&>Ix=qh zljga#GOj{7*p=X=6CK>Oqvi4%6_H4UH{X1dg9i`t+H0?I^5jWcT3Xn*Z(rWXC@Wi9 zdFP@Vs!+@^D)#Kz!*$nPmp2-+*(}x7)%?L9`~hG6>R0Ctf7-o!H^1>4zcKG;BoYY{ zi5aiL)YKH!)z$p(kKRF8Q_8qPhgvg5ty@B?U0&2!A{oUxIY0)9gwBM$qzSWOX%B!V z5yn2=gDyP5V8TuyYsIKY01^R=^lB<_SfSpfLZ?~Yc72p2XCqz2RavYSCsob{3`Q$i zt%j^tjg*@wEEF;<~ky0=? zG|slMlY|s7s;Z~4{x`U1<4rV{nHImOr-o5)2GSq0zm(9nWAQNTByM%7Y^~oEzD>={Ivy zu$L)(Cl!UU4isbUFg1jt^Cc9~F(i9E*_;0hR9<&M)sq8}B=4RdWbEzlU^*s)~cI-=wVZdTwkiWoy;aySUR8j1PDF z`Tp6Tw zzn!5#m~XwW=CDr-nKU+|mJPM#?Auh!O^v0?GLAy=G_SV#_@~2tM3Wh69R_yQIoMQb zrK!w>+q#HDDn1F_Z=f7F4C9?BhK|efusSoDTfPcAKR0iF}J!%xFC{;U9nkw<>97NR%TS@T@OeGeNlQ91N*FV?Vs~yO zr1ucfxsep}Pw43^_+l^`QxMO+M;*mMsiB_K;C6ZTV?aQ#AN~Nk#A&F>M)2DMi54g4Zg4r?h(hIABSF zU{d}*!B~>?SR1cK%h4%g=#_CcI{UGfFTDT>Ce)lCv*V3eAR`ft>qtsAl*G{}l3Z^* z%HHY-ew~AaYUvxcJ{{+#;aBJiHV{TnjcSlFrIr5Yl@H>nq48FESkSLXonRPadb)_Y3(?6pWkKF=eR9wp^~^};n?U%ZeH-m75HM{nmSFLYMiVD%{B>}$v{Y7 zNkmspR=MKf39C*X&8yZxk&|19T?Pb(=z9U;Rv(^6%0odcwDACE1Kj*TiusLhSb_DJ!p9^z$VNCX({^nM{H|1|Li+ zFstSHf1f8y%Y{UKWwWdsd6s(rOSzSW#FU|mDMKv*a}z%EW|CU_lBZE+6I74APTkmR zq|`Bjlub#0;QZ9$!(r2n^r!mYH6e_6_dxA z@^;XXt)xN~LS4RrjP1fC{jU|gQ8+uPU??Kbm&3s*oqzr5%Uh>nHYSq^hr@xx;h?0X z1hrbtxpU_(sWBJA*w`4EOlD4P47b}&TU#3dYPFib{_DTy)?05So6Yi-uY6_Ekgdlb zf1Jl2do2I=^iD;SVgMIP$bci0r7<;%r0|ik)gWzpV9|E^B3_PpkD*S6aY_p6O;uQR zR#~CQV1g14iqa|+Mhi)mieH|ep8NvWZfkJW#S3e)^s*U?0Zr(W;lV7osbE3Q*R z3fr3$H}o~&~wHZ&Mb(K!~OZ#-I{Y@#5+7%%tz6kBYNb=eHJS8b%)Cd=wd z#!@6_3sOlPDAlAhS^5JpI{cBMMB41sX->9(hw_vUwZ_1@rY(5N>f|R?5pXmhIcI7_ zj7O4m`oi=FVwkfMO~`VvH)&NI?VBKzm2jA}Jh-Eh$_0|`eW5u2a-^R(JI4v;;#2ho zFz7TqH+3@}yzEtF@jpK`!tT1!LqZmw_0DIIA|WJ{ZoN}Cpyd>o04@U!lp;fwfaOsCmmsKP#NFe<`e zcOW@iWU+UkTUpDDik%_^CAIQ+G0WFyD4wR%FRKjc(-L*aVIl^t zk~0HaIM;cc8!OUmuLQe61EfKpl+RJx2r4a^oa|$#FU(XpNf}TEv}Ce$_-h$WhiFj@ zvdtaBuFEZelp!dom(R0^bhiARu19g=Uoee#fkH`%dlLFe_%CB4it_X@YPE*e){S^vIcJhO45dwSzv$!;U4JM+r$5X?FzeKu z9B3q*NXz}Q-GgVj;w01Gr}LLQd*rW)B?EZSvaWh7HdoFV&_r`>nHkUCsW=_J2t$)G zY!cXz!)>om1$gJ!F+#x!YTPBowFr4zipj=PH zqT``Oe&+=lC_{NLfMRMGNuk1C)`DGQqJ{}jya~2evh}w>`L@MH34*&&oG3>T=mMpZ zlCt%=@h^ccj#S!`%e^zmaYNw*;`)noo z-jBE;G=kPvi?r=NIY;zELOhw~o!$xF?hfFSlKFYToz0@?8>MsUQ!I;R?^I;7S&kh$ zmJfeAbm$O~NQBDD%6ygWTW`IU+S=L`YTB%Z&f2LM9v-H$vXaAx53_ggjO^f7zVa1b zfBkjddFP#r{;a2-dWxr>dWuXY!};^)dHlCpu#n{wu{h2wD06|R3Z;ZX1q!1T<*wgA zQM+T_gygnxH$Cwo>dIQ!>TE_4>_IWnosVDd4rcj>4l8et83|=(E|v9Jo`}A+ayZ->^UyzlfrZG66@ebJYML7n39_C0b&f<7)fd6^0i!(zr zNoooORM`zYu%nVM+|lPq*d)$~g)q}=Ys?D*80B1)El6qANHdI*o^zLeIX>sw-FCF8>W9{6%tCfd$ zd*Jlb(DOPZ3Oth~4Y2N`^081MyJ<;5vs>OiFOa1L7|WRGpql<{8JV0nIv<}}X2E8h zN8WH2zF?exJk-M*9sZ)^z1ecG-+A#RPW273wWgBayS}wZ@)5`h8#FJfGUIRiIkA!V zFjVZIY~9D^|IW)`DcRG}V4MzLh{1_iajguOnWkKxPupAnn^6BTEH%4Wx9d~#_n9O4 zSPNzA7nFP~mcn!|m}8SqzF+8fUI_~2CoP^iDl=IL0$CGXRMMR-N6PIO%vNP9l07x0 z<#UX8` zh2KeIoTD-m%PQ%^Lwm+UBsVY2nWGBZVo}eDU(ZO;FS+Q*Rx(yFFIWv~THKbr9PCo_ z!n9=dsRH2vl@d03WSQtDw`Ebu(+gp#`$!;?q{ADM9XJIs^z~(O487f`<;=OmjE=NZ zUeU_trtNcNY15K~S8{MZTgeDBI|ij@EzK@-zOwmB$a@Z-{{_C$Q@F~v;;Gv|C&wm{ zRnUWn&a8(ig@x$|gEEVbW|ujiU|b~S-8gsm(l;g7tr-Z+C?08Z`G3vRapd23ZYpD4g_T!Mc5%n{rpp`tWVKp}L?V=zm*)+L z{rmUR*w}bU4OlK06aI9mOebo8DEh;{4zMkLxwD=8b1FU}# z9{Qh4pFET1hc6%Il~cV8M`k>jN~M~H3MapL`wn(DE~7&E`Iq6n?}7IN$VuLz(8!86 zJ3kMN`<6UKDwX0N5B2ffso^3u5uHZK_UaOTe}BW0l|ccbfl)d;+vpk^C6<~tywrHg z%V}wDq1@#vQeT=^-Y^6B}Jb#vv(98nUWU_!c@v^e?P-g;aGYAy3l zz?lrRzW{ANhw<|>C)b)~)sU^9Ua$aFA?av{-mY_W_Vp8(-mOt6D6um8F+!jfx zM(b{-ylER1?usSn1u2zaxbHk2-CYb%&PX#GO%|H!>uGFg#-LwDzl42r90sVgGsfr= zGNS<5WE@}b2aNTeA`&b}zBjvZ)NiJyVFP;Y(u#^*>@?`d#wQ&X{I^=c|>WwH`|dVBD8o@C0~ zn^#(tG)7F78>npFio(&;S6`zJWuHAdg~%)DSVsAVbpX6KCX0BfZF^xf}%ms@YWm6n#4 zOZvczWuZjv-Me@5?Qee@katsRYHE1&(MS2}SHF7EpEY}@;t#%c2fw-hPuRWrj^Y>g z9fO~IKIbhhNc2=FWiRlj{u$iGlA3*E5x)Iu2S>Wc^Hnglq^Q+}`B?cRpK4X3*C^#1 zU1{U8bd~|x`abeMWp96?K*7OM4lN&r>wX9H#p+OdF5a;2}}teO^RU}4Po>u3S?>5gVi&qEvNb?_?Nf) zIN3j$*P)-5rhRZnB_H29e=Ub4C*ZLTIQ6vb!Aeh0I!bvVzTrM-zGKc?f-zY-wc8(& z<%6Xxs(65Eyfmx5lF=E%X?jT-j1mhsu^>xzt{Ws_IJ zYLgd^(<~rMd#M!mZzw5o-W!@z*}UF4J{qKcYE%L226b*;SXh>JUOCuI5>vuQqhgpw zeF($!&oM1mZL69yFZib7ym8*od;P_d)y-}*H#IrgSjH6MK3-_&) zf1_L_=feICC#88So7a{aX?9z1EJN{V)kwwVor~T#i&YF4k)@qi4mKIanfB4F9HPdU zM5SQWWNC#_u{2}hIB%XG=U88$sLFbi%fyXM&ILsfu9%A2t4%l@rn6Iy^xD3CJAd;x zf5WY}-ipKFpr)pVr=NbBhaY~J?|%2Y?B2bbC!c(hAOHBrw6(R($+fr`ma3>-#E*Ux zI(`M2MDgQV3#jy*jF<8Q>26+8-JJKnsFVs?+-5$1LmhW*s*pVgV;%AWpzua#DJQKp z0jiv|;S%2DQ_rAy|5+5{9W!!jDjnJC>o^%x^8U~m@1(bJB(-fu5mKpOgU8Bm-&D^{ z&5L`8UpRY;V}pHES}SoGJw+PNWfmPRE;E%S2Ki<`H3DPjAUISY?Pi41CXRZCIB@h7 zEzSEdTN~ySz?lvcA?%-9B^7d>MF;T=bm>~@RMr<=NEJ3cO)fK)_FP+n1M`Q>l(leT zFv$6VQ8K1-Bztwfsd}xFMyH8}=>j;(u&i!0-ceAOK>@aEM$=Ke;R%AOW&%_f8EO@F zJ_C?Q>*lrLtC@In~84&yC|tI|*fGvh<8P71uX7czAC;jjqMzgL_BE z__tpj;-P!zubi7F8G{cFK*ukO`^DgZ#@iT-!QkK!1J*4>-MjKnn{{$clzOKTokj(* zNfcupC<9$Hva|{nQb`?e`};ZC(@%S-nU0W$RDp5S;x_ZZj!HhZWr;#}l0?6M3U4$+ zg-yTsHhMHLCuC+?@)4B|q|7C6f42`$@cn;(gXRsJQ57u8?M4mFE;DsbIh1WhSVZzM ztu=x|4Ytaq=Y^0D#@b|W<+PVxtpi6B1Mvy`aX;myt#~~1=Z7rC(Sa_`dVScm4m1iY zp@Q9-QnQv8mzk>R-I~w{3SV(39U47SX%i<$y!_(b(=@HygUZ@ECrqTtWyY%4$m%xJ zVJe05f~|_Q#t10ndI*d4izLa4a{hL?Ez@WWNX{1C^Z9sxXbhdP9L&x6rcPHd&P!G& zBQvthMY6P&oSGb`eIkI-+(_22k!ZmjRc_PM>@rbdGst1J!9h7>GFRbU{xG>-(Yxbb zUh5ntl=2XlT=`zm@A2i1%L(Cx?%6+}DdP zTZ>Vu%RfF{E2GJ^bb-;qi71`kFv(1oP&{4aG^s8KWn0Q&kVXZu@!U0iaWV44;bD3w zy~Lw-rXmKC1;$ZfD4V>K*aN;S!$sn8T%$~rn!%?r!HE>_1zW0dFLOOU073%I9U2KvUQ7@CYxXm5}4S!(KA!6z>j4IX;#qD(P`3O4#3W8@rk}E*>T_t4gXA_H(2^LVvo1 ztlkb={sY?bb;S#h`6vjPiAE#5d-{FKy+0$S&~R4k;biT8te#3-7Cj|K?fkjFQWjHq z3~O*0eLP4iJjU7XApUd-5xtFY)ef|lQe1Wkmp#iuP0=KyScAiuLtbLBH2?a6jg#RP zvZzohGN|-c>MP3m*yaj8xxEVg67rFfB=KJV1n>On$BcQ0s9b+NckjE2s>O6yrx`i{ zXP$wf_eiIcoC~Bl9Jdok$D~S2r?Vbqxdp2^icz1OSNubn%}^Sf!W{``IiZaP_< zV-pR)+2;XCu2_H5AIjC@FMz3diXR{C=O^zC5uOUtSmk1OeJNY3>@y3G)g)gdqMvlw zH#0AoTyiDzEDPB0N2BR2RB6DkF1lbhPsk6~YqbZ`M@ho^Y%%o!3%4Hkon zO%-L7nJko=wYV&LjJo;f1ywqMWoiU#a0Drp;`9J0hJE<5R$_W9u1$B)+OmD|FcC>A zau}o|W4V4w%O2#$TbI=@s#F~7)CiWTQL?EN$NS-haEKHtESeOq%0?<&Rk*D3yfAN$ zYgU3-K}_GRI^AqpggArg8b~yimAuPTz59Z_1eiYlnF*0SBTol0wIQJ&AdM8;&}B3H+z-5cg~&j|it z3~N;@>bmQx@>Isx{sC7lJc zs+?B)7PeG)xS_F>-F1#-N!gzonBY4vo#8vby>D&RpDqXc_wQ#Zo9EF-ALY?UA6?PU zedLixc;t~s@;en5#D2mmxXBF0L5X$OHofRXq~;*teR zHj7EqMU#JkJDVN=^KC3Bn66So-A(c_Ie_Ao|A#~-Ojf0(H0`5#@)y*s)1Y>&XTeoG zfZob^O)GCr+3@zY(-JsHjg)3esi!sV#U4I`+F&JQFd{8IVGfPrQiU=3j*&h&2+doT+>Vw!+whv#)7{^X=IjA9-UDPLEooJT z4T>&G6nzX^x62`D3oIP6N)@B}63$Bwl$jWf=@TI7h$?iHE4`Fe^zvs9{~Bub(#BC? zC|kC-on$gWqka&E28qAl0~>eFsghcRS}WhcT$&i`p zP_|BAn2}(dbHgE`$qXhn=+#QLR?9{6E(_KQ`AA0L{bwPYlIMj~blLL)Dvdn1SSukm zLALW(D6?s*6k1fFG2A^z&`3%`)^alHg%_RKER2T~cqf&d8B~!+@FLOVYSh3o;f*T{WP zIA5lgKVN1vdInAPc$4*nLQy6{J;X?2R>qMsS<2#FtT)@iV1$LPYo&sW-obdr#8@JT zKQe$Plf;r$;z&+WI&}h<+epY*NkX%TQLNDuHdf(HIhcq}Fp}yflhvSBC{b%iX>v*I z+kD-U-zl8|e^CC7J{VS!PH9oA;>430rsAoKGAc}wG00|UMuRqXo^9!u*zc$Yt7B0q zWLfb@4j(%=JjGZjfmNp=p32bRG;#OF@}(;n8y!%4gB$`I=z??4%ML4hwR~+a_Zlc5 zmYE_P&tlP)pj1!N>`8J*qi0Fu2$K`)Zmq;d)D6~d4Ylms6PGD%bO!LA@ zV6el+`(gbjVE6>;SO0=kHbqu#!JQhWGW;{lrR7l43X3gP^K(>0-UUwt6VPLJGreeS_Vo<54`S2&E%$kv!QC>$gK`^MaxrE6HS3u58{j7NOG{B%DZN zH);qa(uCsa3pOf3$q>m*606QiG!iubjwF>I~qqr-e8I+(;V&&@J{y_-l^Pgp{XKK^&3ci zX)5ueP-)og+DxUw0?{OrqiR{Pq27}95dIrBhP%-?98~YT57#1LBomP&&z~CR&5m&b zk?FR8&OSs%U<8LEfI*YwhH{JSIT}1FtM`<(7A2GVLkT*3AqE1`e05N}#Y9)-N6GXZ zWuG;JO^fW^^S8~3Ux%3l;|^~)C;O;}x?iVC@8p(~Pf?#8BCFJqEd2;3>sEPdyrdDz znu`|W{;32V{s==8F(jP?cJOHqp^E>A>u4uxFjBYU(~BAug$s|uP&QrTP54w5XrkRz zEBus70lC7u=G_J3*Nd=}!={HI5|G17R9ZP^c=U{X%#&j?Cx$-9uKE%b3W<@yFiklR z`ejFJMBT8T2PXUFdBIk_hG)fg3b~ra~JveqJ5+E851 zIqLC8ux7GYEui;|6OL+0W>Qqxm3)574eY2|SP3wbl^B?a(&>wkh$Qf6!BYw2h8oVD zI7n4ufM(4Y<$AR&E^z)uDBmpa(z-V+{AKi3)J?bZz|qA990P*n!ix^{lr_U~vkUP`ql9^UW? zwl^&-%{(5?NmfrraUkKagHg%!0*L9N5Y<|^CL21Ow`hk;sa;(^$tY)q7RF6tT>4iA$| z{DNpEK!vr0jpfTQD2m#mgYr$(UvEO6`X1TA6V$l&pmtmaDd*Kdsf4PXX!idxvGAW# z5*b9TH-W7TMoz)#X?eaWTQ_eWU>>bW&dr$U1K$U7=&9Z+?8q4!|;WKJP(-HPYf%$Mf_P~|YQD{(hjz-89) zP)p?nhd>R7htVpvOvEQBHI#B+<9&;UK+WX&L`Xz)>nJODbfd&mFQL{=;50bcvxNHU zL?k&U&!@zw#baN&nnqW2_|sZ(N#RfP@eg-_?<_c)bBhe({$?hK^$L>}1yspPHjGlh&1RJXOnKzn;E{nG2~d&FEk+6`o2q zyAAWihPq}FTb1+g$asg25*%;GR@#cYa(*x3$^HqRKQ+wh!C;Z%(WXi(pV(T-j@lBQ zedA@$_jl7$Rm~^YRnN(>Ntw#&Q`gfGvocW-x9%`$XmVMoD>X702+zoJ>LU4&nVDF6 zJwa0)?O6}KQ_7+Q;|8Z3K4v#+8GHA~qy~7HS+u-a7Sj28T~k<=M)7jCpBxy4hJ(H}B^}5@|Yo zVY>Y}5d?CQ)g=a+T^7o1dX9bY7O%be8n^DfiCxCDoJ=}3GIJ8MYbKd=Aur`J`ei!7 zxZ59DFoyo*xwq*Z?xC){nr&syISKC>gOdSm109JH{E?Y!u`q`IY}aA>M%$<@U&pq} zR{0#ckQo3}TEgZ!I)w`LlHb2cG zq8xeV$kMjUJH`3jJ0($bEuD&5x*{541#1_N-9U@mOu1E0-&jbVbML%`I(1;xL^;BV zG@ZUMUA}P9+GRn>>Wh^zUdEW4il^xC$~zgg_70n z{lg!QoQk#Pf)cealoLOKcb>{g8|Efmg;G{Vy6!*1bq_D=G}&yHQ-eVcb&k>HkK~hd zOga@iYV7Q5EyHPEBAzoc&RE}B-fSDcn%}eJcbPke^7Rqba(^PINicg(a&B1$ird~y1GHK;5IX1dv8Ff(73DW-a9Q&Yy z!-FaMqq)yi8?f0+*wb3ejm>36l4|o(5Wily7{4Hu8Dx+5FU}0}$~j+=WUt+%;g;qy z9@th%iFuK>p#+(%L`J12Y-zw=vx&w^ zSJ51GE%Kq57h)5+nmPrd97>g3@1<;=98SFynKV+Mo6){@I!31$isq_+X^iL{9vbWF zX)3qN;wU-h?c2pfIm*^8I}~m{Hjt=@@uBA-nRjv{y26k*+KQfod?6W6AbW8tcKM zi{r8e&?k?;XeVUW$;s~X%nQ?bJ{`VLQ7BuvO-HlKBCE13H{_+PRX*ZVGs&c-eFadJ z-Pf;02ny02(%mf~-Q6wS-CY9G-JyUq9N7xK$cdqGW2As1@3j-~hJpU15X-U6t2Khd;kE_ zm_{X0QKvd@{vWk6s zwneOt?fS$abX>_?XSUOXvVTY9`zRo47lBgNeznYUW0GHT);B9+35-93F3C1+hbQgv zzsNdLLi3(kL&67hdc-OF-fVYi>AdphztEBU%% z)f?-IL)+sGYu#T5Ps^u*gOE6r>(IG*l*L*-iCV5g4_sdDWi|~t1X#C zmJw8$l>ztK`(+WZSLsI0jV>Eo<8kTZ`)4xq%uz$E2nyPro`hNReU{<#TPKsQ%c-MW zTG9)X{h0CHJ%`zpDl1{86njx*%-llF+&pwxX?76LA-H4RNCK-cJC|*0Gj7Y!c(Syy zJuex-Lrqy5>S^=|gvHx7l|dG(>WOQDu!Z$1?9Bb@vm;kZ^*vgt z4cu8Nn=LJdNsCDzapaWzh^#7Kk{Pu2V)Jn_HVy8a+7#`UfU_fH0M`QV#g$a=;j^x= zD;#1jfx&Sl1;4VlsTwwect7Aj&r=le?0wL+*uNq@o|RiYl<&59v6;_Hx69IB6d@ly znNmB2$8I>?X;R3)H|3(nKucXVN-$_X(P`>nA4`XrF`>JCTrfExqpkVYZ4;~1cqH7k z*jNyoj*eG=`E!1Bd3JW(_aCTYr#5MOj*I4La9Lcsq&WhdF7~obtp@$3yr+{cvSUqo z6IZ)57VHJAlu1dCCwGvFIDYc3*UQpLLP)1f6bb_!$-2IYaR@OFC(Iab@ZSZ|0O%DZ zegTVEki2^`kIfw`$l*peo2mXXKqoryVlCwXh1_{&NR2K?lQ!?Mgu3;8M|~)lE{1mu zda-u+RE4gJ8QeP_o}L>~Wpq|#Y<1qsS^Y-2ZCglfO;us^!lW0)LSh157b#Y#W#Adn zkt@aFvzO}5dS5z}TYsescv?scK6ynx3_kNmb>RJXYR%087_je(TCx&INMn{7H5V#f=7(Pr%z0u+ zY2stR80UBQGq`DEk)u$wHI^V3N}?b_`Q>jxP3?=sfpwrfyZQpYZv#2bmvYwysz$c< zQqHN~Aw8j1JC&jGd&q!6ePf@=th*~4;hLT%x4zRGrzC`Zdod$d%%1To{Dhi(!YohA z;4k_DuGB{qF<43-Ph|=Uw8H(l&SpNO|Dc=-c;>(oVKa18;vvww6O}K!ZaK!I*ftx= zocyViDz1s`3k3G#FE(OgPhH(>ClabzjY`6<{oXk;2qjnkn#O5n$x`p5!Z>m9bWF~b z<26}eyPau~${ec3?XVl$V3CzAgFcRygX3MA8WWQekEx42f*du<#rEJ3N5n5to9wJX2CLakiFEJKnC? zyHFhBDZTxC%|r?VtFzO9l|#xzDOK}{?cI_qk?*HlqUL;N(wmlVb6plz)CRD9=j zT_M;wHx!Hl=i@)SW00)2T;;!vLahXuw1@eL6OROPb}i!;5r35D842MMCgX0?9n=*f zPoHI^PJeW_mgpS-h)|myG_i~xpH|LVWaH9IIp(mvVv(Y~c->C*y*IFL!@Mi9gn}z; zedX!0E-uM$&#M-GoJu3O***yY*vG+W5;J-5$F9{Z+5VW5_TxPE@l z>cV<{bDsVB=bG=Y+3($P@7r$!QsCiN;9PiZeczn`5MQjas?7>$(8X9b*@9p2+upZ` z7#g%<<+Q^%#7mMkSCcrF{3)u2r=h&l>lPHa1=AJe^wQJ3@=Gnr)A>LX{@H3MNU``> z{HB7kYcOy4kLHqdP1p zD4B_Wj8rKn>{UAc<{2cP@j*NTv9#t#g=vbg_44zd_NNT(zs9vcSr_XenC0VaH+`HS zm_VORpP-<&Vv(?1Xhq91O2}$cp$$*w-9JMK8SfXq?m}WApfL&FnZ%tTpiis&rS%+% zvK-az5|1&xU_XcIr}iwN`YX1xj>k=5K^^d-#cRV~s_!?Q_3r7^J()iPpY-xdcsPg{ z|D|>EQ_=2`wrZ!j{CvV-xbYumDO?v+Ufd6dig*!p&r4*KdZ|k%LajhJmuAeupn~`+ z-Q7CZ8(-Y_Ny_KsIpke`c!Hn0ddZ?T?;|VabaeL)c*idL*`xa~#gZi$PK>O3SKb{r zFFLAKrR{zh3M8~A*oZmv2Y3y*b=JM)&u!sfl6=>T^(*C9H07OdKiNC)#1+L*mXXt$ z%wXU|A-}Mv`)b=e;fq+XAtO;9+R`2?A!EXSDpX_6E``)6dc1~`@{+1c%8VH5cGL02 zYhWtpG-tymp;&lPF;u^gnyY~!z=^vJch!@GfGSw+O0uLJBDSdW6eoY8qCsSaX*?}H z1|h+Fl+;T8bZg?iGZ+bleUR$)lLSo5Ojb_16674pB!wD%p-zVxosvwx$Him)+*?q$ z(@y8tFWkLY?H&6KV#Zl4<>FrmFOIpqWIA(Z8zIYgzwSf5f10pt0mGiv^HkQ{$@R{bilHWzLnPGs8pI)0k=K-@NK8&SoynO zq}|ImOQ=sOAu5XQmFheF}aOgQyW zLh?%(p<4w87Dl>jhAe&IzdWs#IMg~qyK@wG=Wz*5QST`S^AsrRgf$f3oY^wTnOWVP z*O|6&38bkj=1jd8F3;~VTW@Yo+}6CyamTg2e0D%Z<#Z)kTE!sQ0D))nP_c)^#>kZJ zT#p;Rdj3a6)m*~mPXE-+Kj_dMH9_tcY1*Ie$h}@ugXzJ%Qf(m5Ig8kI>hf!RI&Kl9 z8OcqSlfhhRm}-}$ge$d%={CSh>D-vPJa`|u5t}*ailY3$d_-B7$uf4bf3ClNwO`#+ z2!W4)RQOmIs%oKwSnxL0y)d0Q%)p_Z?MG{dZCM(Xe4q+d-foPZu8!$;L3zKCqc{tZ zPV4<|H0nhZ>ObLagH&0ZsHkOI4BYh~EbPwJ>%NVZ%Ed)x-GT4BuaO9Dbca$oXm*Cg zE0|c7G|fB9R8@~TzO?nW7s11Q_*Lws{UtlH$MfXjsh{MQ$QwqFA-1R_xRaJ%6<+C@ zlUebkxZ=V`S%>nr9u8j{>nq};%?$jHcNWJ@H_zyJo-xY1hH<#0$jiiVv@lRy$E_0` zcIYe1t2g9C&i9tnS^|~f_iGmu9 zM*IEpor`x#wdJnV{*b~*Hu(v~UpBR(&P~cQ|&7CkoWB$HixTV)Nd9h^6H$U@g?cn^TD`?H2#C zSYHd3w&csGZ2%|jnpvit=`@SBrRk3ZB*(^SmQB!rq7JsEHn1Z~Y|9jQX|^=K)m>q@ zaAu%I|J(wQ(p*8xD2_ZEJMLByVvw&+9RjdW)&1<#UiAt z3#23w)vfxAH${Y~Laus(6)8<*%G`!nD(MpyiIC6XqqU*97@u&(^KknLGCykzNWke} zemC#04Kz;(a&Q`wv{qD*-)=p8eCAI|qM@jO5@S3%3M&FiUC#5ZZOQ54}EZWo!ag{;69)#Azpjawqx+qhx+3V@9a=A1<&2syy zXxu>OhNUc+zeP%E(5E;{$w}MQbdlnv9#@7s&)BT7yn4%D{^`wL5xE&fK4P%(Gfb1@ zauJSl>Jl~APs3ayMOa#5sk3TGMFiVREh5S&0a?E3%TT8pso0T08I3Bx%4k_(T&%e# zeC!oBAAFiO&jDoxGnW@qU-Qa%wAl-y3F~ zc_<^do{N`~k&lm72{o!7?SA29!tjT?{r+#RRC zgKh*%ZQ5=tRp)7}*70zR{T60)Zf=6_@XUt~R4xYa0gWYmmIf%Z&A*?KH_Fh;cryPA z?4jDqq!;aD8hl!h89Lw-YVf^Ii3?5d3IwsQCCFVzkT9BzcW83774{+XOhc2`3#J3d z5rS9ai_SH_YIH?P4Ht^DlIJu13p=OvAXFX zNSp6BP9g&%4H>55iFq+jipl_AgV%sJ12QWMXQ0qdai^MaXw$|9K1SBJxf`mkld~6+ z^~yGep9XKxiK{vKqlzPmpuyAP<2%Q@Tk&a@)6v@G;pe3QtVDL(dN39lP5G7H6v%cm z5Ioq-u!p-V@|R&e&3+>w$w;H!mP(UyYP>uVpHyz27M0x-!t#qLVddgSbjDsJ{s)4g zjx`!cN=;(o%#b6lX|fJs(yo-E?c4Q=uO)GK2fh)kv_S>N2*d|7^y+PiVo6rHZv?*~ zFC$%#h+ds{wkFQ($gi#NkjoMf#=G!|6r7q!jbEdEpJ;yNg0#BhY%8IdL?|e)*!@;= z7^KI_j9P>ur-lg3|J<(Q5(4K}QIcAH+?#C7D&RHeUpSj7rI+~47`uMkF${@8?O1CW zziX~YW%0(BQ0Ry6g^YFlT-DcmZ54`#O8w(ksMk?;T*$7U+%qi8>kwb(v`_;49AtV@ zniMbX1yj?+iP5C!_JCJDtBQ_hiE=URQa*G3WOZ56xTy*3MoOX_kByimeW-aiG!v;} zWS57QbMKZKd{9&Vz+pq+65}G20)NK35c2xu)M0}fAQ-*qvJB_-ZBq2u>C>?|??b0DeH4S<+Gvldabnsi3R*NxY0a#&>?wt%A^BzI|r zS4=nHjgH zOQ77Jv>&7gt?d)lF@)aB?OqYuUYty7Gh+zDm9A!rWlnc$2<;b zVOSZzf-=~wo>3iMw-OTPMzN&hR4S*2=cbPSY1lln-}IEkF-^8JM_g`U$+O+bb;0pHF}3j^%6#r0Ju4%vI}ThKBNC&l(&X172@SG3gb{fHZ_j=spX3MsoTbO9&2Ktm)(yVGuB zVhgII>U}a(F!v%wLgU=IvViyINm79T$DD?8#!oS;1urkka%3X-UH`EB2TC$N?o`vu z4alC_dxN%wb8U>1Zp@QB6PE3iGjf2U!L0oJK*oYExw4C3boc5rJGymYFje{cq5Lir zZYD#Xw>F6$l#|lmGpwCQ-%Au4^J*`+In(5r2jx@-6K2U2Mn>KXm+2Kwmo<+scyz)I zcA&_2E74=wR@CNe&{#4yOe)p)`)$&RR5%ODajeqn9-sv%Kaq;H;q-w(d zX^dQ8#)hRhvHo(59-*alGE$*(t@}HvnFf*l!7YZEQ39kUyO%w1l_4@nSa7}UeDN%DQ0yMv~}%O$@(uAox;?J%V&jQDnD&nkMl)7g$-RezO~r(Ty(N$JbTC0ggsJ|f$C;O zj+zYM8(3NR^0t%SRkeROKJ&f5X^e&--!lcVrRQlQ8COA zG*xa>h#_p<%o+EnYT~)|Xb37hu|KstR@QHTI~O;Y8ncOZ?R_$x-)m_fXex(tm4ly| zgy6}DCOy1GHVSej4UL2g-ec?rH{xhBGenM%?`lf)nPOE9=0Kei5C<-H*Dp->uApvF z*zM|kSxt3U`X8>hntXy-8`236U&<>?TT^yeMye$J$!x?fMoWZ7Irhj78oc;&zS!6D z=?n{(msc~j{z^f+a_32Us@lP?P~4ZJdQwz5k>+WIfW&h`Jub}cy>}j~GWyyle}4Lk zHzy;Nxc4IwL$W_FNEx%CA@dBZ1jlrD)>5y{|q!QohE*@B6}Vjh{&pnRpD6 zzl)t1Qt6HhFxpO?t3&*9JpBxon7GyJFu%1T@&Jc$s@wsop#)W@SP%s_swEQbeh**66JTZq3q| z29k2|2Ah*SJ{EEUqUhMc>7RF|wmVKXlpKdiChZ_iC5Dn6006jNi+c5tYw4-j{n^N4 z3G>e*)5oDG)hJnuuhPsj)JU1`*?N~XI4nCiNF$c$EN!y8_3Ug34$)O=9K40RgG zxsZ7{QuMpIDak=L^l&dUj7#4h`*3w$Ou--OqG422DDdt{2EE^*0j*xNY2A;-88h`8 z?yL;uk4QJ>#B+=0**Ka(uKfL8g3I@aAm@7BlkcH%v8PLLw!wOE3velCnWp3Yzpj1Q3Ddbg6mV0^yw?qIZ3O z^NP)-?u!yl*374(9=klqZ+s~huH?5P#JpkLLyxH;b zk!>yP(sN3YwKw!6XJWVv6bQQZQxk`ot31uKXdav$dUW;ulBRN8Ohsl^J}ZH_+#l$E z|CZWz)ww{24)^cyGV%eqwK7?A5sk_3zePTF4kXyG;9jtK9uiV|d!g&4km;Y%@bp7# zpS~h|JDH9*qO*r+g*TW=inn!(+-5Fe?F800>i68uRs=l<-EooJpP@I{5!Hl6+qODW zN4K^b8_Nbl38rC1Y*XSxjqcH?j?R|Jz~~dEq?SQAiufo0GVV-p(;S!Y$Wmp^koW5!6#Ej$c)=mwGWjOla zYZ-mXX3p2;eO;&m_4aB5Py?kNgX>|M<$wi9&B5`2^lT`@Q5eEjzP>)fz>C(AFMde* z+9c2A5$?mmU_o;o&-0!ENE$7@=o|A#LoI}D<^ZF&X(k9UOz#nYI`r}Au% ze_wh*4j##bK8ZWpFx9(DAZ5-b9vWzzbvBt%a97tfSK15 zX10|~w1a0&#u*q!qy)BpT?Qy_xj}MIWbhp;lID=><^o|9jE?kbq}o@jprCUzNY(J( ztU7ri&_}vmTjC?7eJGc*>bYJ#t&m6+Ci<~+o6y|PEzx^-a0iP)MmS{}f6r^>nE3Oo zs?3*q1l=nXnzm>=*5v*>-6o9KyN`P42Apyz{YDl^Ptzz(d*5K~wt7${k8opA=OmOc zvA&WvXOijV%*_$WL)qY3q^*gA77F%IU8pln`PN{1e;egT#t$JZCV2Vn%CKW=t!#T9 zF_r3-^yK=>32tJ_oD|&L4+%1|YN@!0)RQ)JCKVI%iHXK)Y1WR5;g%3Ny&O=)Zl+5m zSCvdf4qGU#Kn(@G>rr*RGR9_KcC~)%gED?%4Z)^Xpgj0 zqx;x5&M79|6k@JVQka|L7}MVYdDdBy9&S^n(1TO}X-V)SVlIe0e~l-bz;&NVDC!>s zZdXn?22K%$s4Wo8DWIqp_9}giLZDhumXPdFt9OUKr;E|sW9LhdWlA#*F~KskDsF>< z$~>wy8A^2^VIAHAPUpNY{X-E=+cP}Pm<=x~4CtX%(?A>9QG1y(&6bUMtLln@CXJ~Z z6jeKRB;_p?J)lBf7mm4as_FR%qdmud94nr@vJSMDt#{ohIy2)ysviLvyIYz1I8x%) zIltzMICf0`&}62C^?pS>!;y${HRCpRVg|#2D}1rGqI!gpxS+#`5}mT<@ml-KT_uS- zn-+sc5j2U=wa$_z;*lIf`qaX<^eHVH&retWYIib%E5A&LV4)c9y)-qaK_IzwyWq)moiW=LB=q1TfPRTax6dEd>7My*8H>8WbVx;+QDpTvD9 z#}+6D6yF{(f zm2-R7;|xtI{2mPN$VINP(^E-xXXTwYPcu`<9h1=$)g;uM^j=32#l?EkG4svY%u4@Y zTR-|q5fajKD&$ruxD6n0&(1W&S<>#xsY)UHMn7G;f6{=V#*~V=Lx)1!ZVqJLsakO( zKG*074+%B3GD&haTIw)4bul|I4J~~FL$LR$QUVeKE2NS9`7=!dkigg06rb@#Tc<6h zVp7VzH7SI8bUp3xsv*-A;CO;VR?w)6=d$t@5no#>b#|4B#2m*eCUhk}F}5-0d5@g`9u_?U zy_Sn0rbN$ERQ_)Os=4Xz&!X3#?-p~-yiYm?KdB9_SWAiqG1yTL)EM}mw4*+3VWLS# zKuqt~ zzBJL1%zk^azU#<_YaapV-CQ&6la75QQrU8W8$xVx5)(Qi0@ux2wLVsEq`GvQCo#l> z+#x;~wRa-31>Ezm(cYgi?`(zZIuA0D5Nj_)NF|~ermxf>f)tt>(=hZTZ0X<_V)`51 zo=Y6WR8ufqydM9ZM}xz!%%gJ53(~?Co;5d@E1_sOYF{bgVu8e;T>$@Xv-~3H-MO;W zCvVi2EIupCfUJec)#FUgfo4TI{(IL5)j9WOguH>3g%dYJTx^*=Fip z(3(u2L5S0CF)sd`(wB2#G@F1*Hc&a}ST1%%?4$3GN~n|af~$Q0WEdC>Ftv%YKN#q; zr9SD{?llP6ZeD#gSsILNJQ5QrMbSB1se9Fl)BY_4Rgh=*3YPy2P{E@AJMMAIaeLNZ zxW`_yK8y8spQrYCkMCxx{6qW5TWf<+U)Nhx$&EnClGhf@Vj1k1`l#^Z-S+z4n8jQN zc^Lf=(1zCAE~`_^W~GIkhXPy{dW1zS^WIN6XvB?FW(;t_Lox9RSbC&3_G(K$$8E4D zvfu+Z$jkOUi89Y%yvM@@fNgzL zsurn6S4Z~ob-GcrqWCI=Ki@$!jlMmA6T4*oIfRjABBXPbiu%lFajWZx7@bXmjUmn4 zEtis*(Q2kEjjLWt?V z7i-Qgn_>@`CT{k{on3Cm?UJa{r2wcTB0^qg(;lH?g4Ij-f5007Hmwl{Qq`O_3{$ew z4FjSLnqbmYd?=eJtkv2O#l;ZBl=>zNMdCE_S z9b1;g<64&O0o+llU+$ZqjUlSV3TP2xC1qtB85X%l$180v1{YxHXY(d;+Yh;!nfcAl znJ{dKNtHbB>dDV4v>v6IMk7X8FzCq#P&A3FY2P25|q< zadUH%-W>u`XS8Sy{I9mn+7ybX@}~AYVY?nY`%Slw++!rj;ZNxPnPjtG%3b-y+Zp$g zC3sa)$6G@)(Jr+}=Ue{PhZnUgPe(PzA@?XprfR^bz>6B^A~dE;l_-9aA~R4lh;FY> zz4cBrv)p;fK>VKp@Y8?)s9CGL?#icJs^;0YlHb>6z`VV^UH+#jj{g)9_Ec3>owuzo zTqS*l2*fuM+Y-)BQcwkuY!wH?wUDcI}9ux5+4mxB-?_ag~ta?$i%h zt5WGPSlF4%A}AW*atJoWvOuJK2I{h_VBoc#(mHI*m9?FsX|N8QGT6=QlFHhIKxbuB3tv)C!aT^UPT*<%3lJpGz`^VJvq$*nsxmER z_OmBJYjiNScI1(>u&}s4&dnuO$mNgt8`=QI)-Y%T{TBBcp9}k3-&1L_1Sx};)|{{2 zV1X+|du;dmCndCjB0&ja`hZ|DFbP4JIz1hxkT&MQE$$*PZhVU}TcSPz?gSv{T5&5m zBs^dtJ_EY5E0X}LFP3N%01S>i2;|V*{pvzJYdiLfQ}o+cy}a|kKODP{hSd%L8Q8G8 z8N36F^bzx=V7?^Y(I_R$$m%WcT9JXv)yKEhrA9T^N>loDW=S`K0fC@s3Wq8&Jwuk> z);Z-srsXv?0zJ4a*d_?nzqk-+_^E#e9i6KlC0%J%!&3JqMk!Dbaj0 zcu62Q+8iOhbg#TmxBNrL<}EHJXzo{@2(V4Slo~k>IUDV78TIm%tCMl)rNMPzy@LL$ z5jZy8RM<9qMnWgHv&7GT+E1P>;FDS)83%Dw1wVcZ`!1NC*hme`@1J+F|1=Jpa?o1h zD~TR{{_|;7+xhCC14xT~Wfs|A-+)W?P7n)>iNzE`|7r$YU+w!|8Ma;jZi?yo|E1Xv zVs?M``6TGw)n85J*Z)5?^`8NdHd6f05e$dKC&RYmUp=M9!Du5ji1hDlha~@|svis5h+KSlckhT3!UDe5o&vA|0fyU4F8+%_t!+TDk-A$&7 z-l8qj>P;?o44IKKA|_d5=k8#rJ4 zcZD9j9<`t49RG?kybTVx?F-l{H@u^JM6H;s_nRH)>WkF?AsF_0(|Q;Iwx2#(LjMEN z3;4(1Nzp3!f%>-O7`(jX!H+So%yN-`eeLdscGuz!G!IPeGUW$oqE0lF_x;A#O#Cb> zI0s}-RDv88um3GioY1}JJ!_%L0FlR1M*_KIsvC-Q;^oq=V4q#Xa<9YPtOMiqf`jiS zf$!ac;m0#iSpeb6srR2Xlffk+=`;VLKgkPZw6U#iv>a8);t`Yg(vkbr>}-973#>R8 z%rIiqt=~H1ygxU5NEylE9`icdj1w9)i4#bD@NsrdTv*V#zPVv;Du8pz_*x99tDwM=A`2hiAmE+L z*@pI>Tmc^@7g@M}XVKwX(e&SB55ykwBO505|7JkPZSv^<_D&iI8?;>SecJu~{qciy zSRoIORX>l)EZ3Q{-GKXD8qCOiljUYNo8^k~RPGhekhp-`O;3JeOeFF4Z<`zd?ZP79 zkA<3=+B+89#?9C_KYsks%IY;RW0-09c(b&-6TJ=i(ZUYjC*>r@!8ZhmO_Zpf;Gyk} z`+tocN(m%IdYD@r++Y_LdE8UVHI%Elmx()W*pt5)7 z#nspA@~<1ZtJl~t3c#XXV#0@R}kkIWqDzgc4l>rPL zlh|tuZN>k_4rU&zlwx`;yWu2AQ9NV{-F69WSqRgzpUS63JRu?%F5{4uSOi4Z!etyR%b7aQ$g>2p#I9E4^BR`fW)M| zM>3ATe<-)#EFVM7hEntUG))g>g1x@C`853QCy(2D7&T=}?AuIe2h^`HDu?*Pgqk#% zqW*!oUecqYcINkVqkoDs)@z zy6SgPDeVK{^cDR0ObSe(nL_%MXU39al6{OnDF6npO!1b_d8=QC^Q_F&eN`rr;%Ko! z@p>|?z1BUZxtE5PHsOAqQT<)B1EqBIVhSlHlJv;P2(bLy)TTeubGr8^^zc(8 zNym~1jRH}X5Fl5o=G;f*;kebGz-jxvPFPYBfjBN4)Ib(I%NQG9UHv*M-%Pc)w`b() zT5CzTXv+n#Ysh;~kYFe`dQ3Q#m6f;m#}9(QlD1j?T%P!j1u?K|{n6Ux$>wL3()^kh z`(-|W>efBq_SXF3h-3BP{=$hb$9ADM0tWtU$4=-=T$DCveX&i0+Sl8*=Daf%z}b~M`y8{d%MqY#sn^wx`4MS<>x1$ zudjbQ_i$|p(+9N^D!xh*y24mkT)Y}k^oNF3wt4fo?7RSML`fWH!j;AAxb}#E z%XV#RAjx>ifDHMZ5p1wh*rYewE><>wOcc1}>X!0q;$j644T4Xy9v)H|b?3iWpw`vZ z-Cp(y?KA}3G|W|-J?RKN*;5SQdw2li|BKlWHa-CXFQ{MLuUXJqr=e_4}hu?0;zl zxa+*mewMRC#IMDu3!c@UIS43__TPofFyAq6?m+X%MeK5lpC?B_jcz8p!lPwUmQu_?pcjVAIh{fCqNgUGYrUa@H@~gnXz87zlekhr{NHda+uxIdOApd)dxzi zRJESUDBFHqn*@;Mu5ND1%E~pf@=ZG>RaM2Ut*w@Xit_R&qi>EsIJF|ZKtW*>6lCf> zWs9eXkR^oDG#s~KX!p;e!|refdp5rpTL4UPjrs1dUp-WH&tt7CBL4#Z?+I{M zzSzt$fs$r0t4*2$eH}y{Zgsei%68)Jf5csaEudg$#|R{v?~#q6Xrao<0RU9DS*|Tl zbmY<7Dg+$54%U)~5Cw4CC2ZpcJRCpdfVvO+2M1SELU*eC#Hhgbd061QrZcK(cjF<1 zSt7f6;l%l^t=SL=Q#(Lq9|u$i(z`9JvYihGH*?v6>i`^z`&Aq|m?m0ii*!lOCL&#x^nR1F+c4FQa-?k~QJp zv1QOOGL8tflbLv!^^`#v+wYDXWPvG=s8OB*2*%h30*WxpPBkpi3L!}8#(Ypi(K<+Kl(S`1Wo#Sgzfeojn8 zAF$+*LFNAy$ic=2b&qM6(JBKlaW{p!_D$l>JcNk~#Yvf&nV(_dqtxJzwFOXW3WOXl zgVl6(>8 zB<%wW-M_D&bWpzj9~OwnzlP>3J#-Kb|F6q{6ZrpenWHlBto9>Ufp7TIAv}+pVcj`tTY4BN7&x+-N5+x2?9Y0L?HGAeI-1! zl$S@{{A@vOSd95@yVHCC+1ySuWa7K%??)uL`yt7S`(k=-?kt4lHn6#w4+I_t^2Z)> zR1*xikP|j7EztpwgOX)Zf%{>_{Im z2euT@B7_lQ#-nGFal~+IAHkNu#lstTAVLYh>X#Jkq_1l2jKH97+|Bj*i+uwE0`A*j z-V7cw@eZ&&Z-GoB2msWJ8{4Jld#Jiws9FcOd+VV%JiwuN<9@gX#0K>%#7Dm}#(cwo z%#0-#7z6=Y7&>aCM1gkYPe9OMQ~@OE#Lsp1?_u^QMDYG-^*)B#|0Js0nAQDozN6jm z=JI#3&vrY%jyO*6n#Rt~uEOwZE^yVMKn6VmMz@u{{Z7Db z+(Sp&*ITm{?*m4`>xsCHv#aqv*Q+xQPRae&c%sL$w zVuF!m2ApJt@kOKMZ*KvQ6))<5>*9dH^{((Mm_G(A)jBxC2T4#Ql90zS@atvN*EQHC z1JctLs7X_{ro*up;a$Mu22RI7egTm2FrI~98+*7NyIKoDy#!i&u)L~$5cuCbj%(j2 z0}Nrt|8SgA06J{{M%Ea0g|$XkNEEzI8o(3?_%Z%k@S$KqYDYlqeQv16~una!i4qt>rqRcSDP938<48U}d#`$KZ4 zrlv%j^osKG^7tOzr;s8d1_xeUc@-5E%`YsJt!O6xc4$(4Eqz@tQ`q_K+oLyc-YhLG zIR*rbt*j82mzPJ!#y%NeSQtDxVcm9a!iNJJTj-LqsF zN(Dv5rpCrk1qGYCI5LU;&kIBnf7=0*_4oOCO-+q3ZkVgPJG8Y`jw;E>#RVgX6NRttgK$A$gr}pb&ijZ8=hf2T3lT0-gN3@G4=J$mZK77z%Hn%LAxY; zB*eo*`a;y)!s2;w;J|>iOd&dOjIOV}LD@ZacJ^n&-@3b>0rgr@QE_`nCOyf#G53)| zn)7IVJxGkKV`2g=BqZeF#)(4OkcAF>zP+{eJ}nIgSW}+f-o{2oL4AFa_6`nrbMGl; zXb|cs!7q-EVtRVSfByXWp~n~mv)w&BULr}C8U0j~0-`*!Ti8w-{7=Az3HC%XR?ui7 zg}CuQUzWs!x0n&iufd13=zt^?(kc`Zq2R;MQqh3n!G*Vv_fZK~sD8C8JOU4CaRo7m I$h+YG1(ZJR;Q#;t literal 0 HcmV?d00001 diff --git a/_images/d5d87284347eac25c76257fa9ff3f3ce860a31277b951e6ee529d78ca4fd698c.png b/_images/d5d87284347eac25c76257fa9ff3f3ce860a31277b951e6ee529d78ca4fd698c.png deleted file mode 100644 index a8ab00ba99773c2b03ce271eb025f450541fcf76..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 92720 zcmagG1ys~s)ILfG2ofSGjUph8bW3+5NOyNPD2PaRmwTYjaN~nM`T$bsyo8 zi;R`f6hWn`?lkCxcUX1q?0p$HY_z9aaBgkT_9>|@Vu>J{k=S@j&&DQ@1@lP^o0NzY zt!&(>%caXmcDs;Ov$+=A>tU(axIPEFyx)q-c?*ions1A??nVxkrDCZlpFe$q@cBK( z^QTH=hdBTHKmk|Gf#JVL;S>SJ|2zde)8Gj<$+LfdtPdHz@yp1~Fh-YPI|HUz_6F9fuYr$S^HcXW1xta2od}(T`H(2nDa?g#= ztR^Llsrg&OqL=kg-+Moy#}np95o6=m;0;4V(U{uKRK5lW4_<`z7|naEMW|_LS&QV$_bEg8 zyu2>r+o}j#hy20&%cap)&(mI8{YnF2=;-6a;p52d;-#RLmeyjKD*am8(j7H{t_!yH zRO#C}I~GEZ3#d8#(;$(%>rwwrh|mM;T!Z~qQ9&l%{+0vx)y;IrNXNr&hZEE^DSOgN zw&LFZap@7VGg)#yS>e~?d%19Vp!56bwoB?W=GJH>+Fzr77i_J1%$M`dSg;SSD0I)h zmEpcf8FhK>lkPmi!%c$ecfYF-?zHLtVvgtW?i5;UiQ~LA!ni*-Jq_X6N)Oa3+q_+R z6m;Gk>N>nUop&CM={Fg;x&Iw3_$yyNtr6U`g{9?67Yh0M8u=r4kjQ66pH&<f2hvTTzAZ8!{GQ9wxzAPUOo6&sVgy=_35NJ?!uw7o44&iyD@WthAnHLXFP!SPiM( z&$=Emr;6)mw|lI!o|gIaXKG5l-q*n3y-LaCIBdxkxJR)3ju26!eFT?=GVTl;w=%t{ z-g})-YRJx2LrZH7x)8R{CKQGCjvsF-9_cLEiHbl#)-sY{%Gxz(-^@S+)$0#8lJuD- z|NN2a?(PoWJ3aJ&YB^?_-xIxviBy?~kbib|mg5v(7 zp@VS_Q)*h@|K6}dn&Npn?^Den5FKzG59bw{%`R`f+Q+Y1Yre?o5fi8RAu|~NLYUlDY_yDl@ZT|bp@8L9y z92!K5$Z0dvIp5?w_-@szE>+QYN452OGwtl+g6!hz8B^n@uV258bCygFzzzm%H)01j z;55ljXN;qcdzk&OgS#DP1c%Mo$nXD34%Yi$)MVvVR77ztdLY6j$OH{;5V_xN7i3|+ zcXz*}gkV2?QXu$G3ZNmq_Q}*?(wI8AzQewBzuj**1wot{^o-!7?{(BsP1b$*{#-*1 zIGPuSOZv0+_c!N0+p_vb{jqQO!87h|J0AHO=AC4vcli@L9`6s+y$_mb6I5@LZSCzP z%hV_4=lKunPDh2ZH1s@8MdbI?-r}OI9YDow=`I~1k)#Zo)h6>7tMwUt?h0Nu?^1r$ z)wzzZ#r0F!+SL0Hp<|DJn|2tD4tBXvJc2M0MytBh>g{PxApS zbUfT(>%Q(RYgptx$dvzMHk|4@(~j^NPNBdVwgT@dShlOW44zBJ=DYZ?BHj<%`^A~O z>+i-A8VbY`lwu)V4|v98aC@=O=A_Wp*5-3Nw`8_4kkAU&oY{LHC+q5o`;sr0qQE&W zY!UGA@O%!Ov(`Woc=&OT`XnHZxQap%gt5!r=;IyM>DDOoT)q-*WMKtJ+Y#V>Ko(Z5 zZ!0g41flkQy|dE&P!Aay`D)t#e!BX8XLpxpx3tE>-k#Z(9(fQ4sTuCrgCs&iwSFI# zJ|3^L9(h(Cdi*eHG`Ml~Z^n~)k^FF2CxgR97Y>W=nDU)`vX$Vz*ViWollu`S$RKs5 za#$w|cym6U>p%7!`dzl<@)oSD7&5i&y`z#|%?>6bO4-000&nLcv z#z11bM))X*^S2V*r%z~J{~N!sd$DwhN;HzFDlWE~x1OAww3%-N$1XH9)baL%np!*( zq~GKPT$`TIN-}cbX99g6>`$LR!~5N>k)ML~$$TT5c(iZt?>!IhAoQLLH6bA(4tdu& zMaE#)sfl{%7k=3!^}sT|BR2^xZs=Q5{XfVZTLOn~k$Nc}%M+P&wao6_sJ3v?k(>VJ zg#F#$-+-EDWhjlm!_K<-Q*br6^w7IGoYn+FxxghH1fl2iYP8Sqj}+xu;dT!X$uG6^ z^~voTT5LK335GtCEJx;f40Q>%ipR^mq1Py9kY5uz{)GdAJ6hYW$@C|Z;s1O@wznl8 zTRm70TTe$C_j_!^@EKFjJ_dGm?m=s41Qrcg;sgGKxb%xtNz)CUFzK}>FSNKP;h&No zqz80S9D0s=gPk-7F&s={om2Js?QTC3LRWu~hxxN70sdA~rJ8|V2DE9JD1W!NSHR6| z{Cvjz#Nc4QNljh-1XMS$wB_YYdf=#3+hSl~5TYY%X=@j_V1kki4u7y39jstT` zfd;;3C)$XSBwGn2zca8@UU+GqE^KSd2x40eD$>>7E?93n*9*$$;7xds5&zv$x2dtf zQ70lO{?6c}#@FK^uGQCbW_sB{Y~peqW0BE zQpb>_;0dUnMF>9~xE`)ttbQ@#jc@xHL}d%Rsb{e`1=)UtG6 zPBkb+9oGsno$2mW*}Utt?z&S`^->&U?XBr3h&Khd{n?%%0zE0PA)=z9^C0Q)pZ`&v z_cQNmT9ASU}s9d~(D(vs>=)-^hA5^7EQUr3is%5bL1H{YEM z=7GE)$>#@($~Xw!H)ZPdb+xrpurSFRWbV+>s<+XE`du!#XZ=tq`qAFrUcDcO2OmQv z?FAN>Do^FDFDP@2wjh(Mh>8ZD)m8Y~{xpu1#0E(;EY9aOQ8$-p^H1EfxRUXJ0Qm}G2c=7hZR&Gl0G-WjY!gsF<@}p){Q2WG# zKUS+OkpVxn}U};Mcfl zW8>pL@icV0Zq9dQ=TwVu&(F_&)`*vuwU=(DurD8n*hU?WdkAU()T@q##!|(MZZ(}x zY5%jqK7v_&CTJk2(f?@%90rupBg5{%%dfr$a83D=kA%t|MoXaM01vfE^bs7z;F|9w=(y@x^VI?;j8H{acNjoT86m}<&xUk=U3kHt z#)IZvLNYQK*7rKMf&m}JkDB|k`Zq7KmA=*2*S{Wrh7u?|!gt6I-mclP!WY!q<-M9w zrhA))xq^ib7&`BD9x#tQz2@I`A<7+-dKF_ZmLqO6TU%r@NcCSkgv+y0Hm^p9Cy|RC z&G8A~8`V3{{~8>JFX=~J$6?IveJFxQ@Wmx1%CxxrV9VDoU|q}g>>W)9Y?z@lNlVM(w&ssfx?9fvL?pR-(Y(n~Gg4C)MpBtIrxG;}O1kWwO3 zFyjBc$>qKnst^ly8CTcy@OW3Dq6NBlDd^huHY=bQxdGtI+}@}*;_Be=Jh1E2q}7`j zAxEoW%ph0znErgQ>$rEbYuZRO_FMd~4NS>vX-S)%oy|Si`hghQn{n2*cTL<0@$bpCg zYc-T%RN#`tdb(UZcZ}q4g6Hk?%e}tmm$oCzA09}c*Q_za*qyE@ zC@BfEu4udX25Eh`*=+(>h}f$coBEVS^#7txx)YV0#D1|g1vE^FeoRcsw?pQF-S&Q` z#O2L9bg)Xb=tX~jf6t&*`^_J~8+LZ~R{AX(=@(5pa#jfaK=dg|oi%{5=}-mus+`-CINEl4IOt`1HWz!;KwD$2UL5$YuZ8;D&+Dzv!Y zdW^vHU$U+VD#uWvW{pZJDq?{i75k;hKfkX4FXrI$#pK;ffR|leT?r$4*L-O6vm6Sw*+Nl4_W~3ve&&CX5zawo3RTa3xAt7Sb2A>4v!J?pVd(`i* z{v$)~oL~KalO!GpVnMBIgKd|KvZ|^$pw`2}Yh0F@^dcFg#VSy=O4aGrOAiaYa@ySDTELDXq3&BamOlKqCH z;$HRwxxYrQ0Ji7f?BK@ZUgGP;%XY|AnKtOyof`o{+}_#YU3UbFI`0S}1!*~DIE~A> z3yHwtdLs!WeFZoG-^?>y@rfe7LdgBobz9ty0sbazSrFV1{5PN6d|STaK7|Y~=v=LB zX+9be`!6j*ZV2WYk07I`1;Yyvmw8YOPbab-YR^tTXy^usWK)nOA)W$M1t3C;`=Ma| zmLrSMb-&^jpm;_J+K-T6X-L<7L0ngt6hH#Lbw~26PL#&I>OnvuWas4tJ%X0vmksAB zfHsInx#aiXnwxnKIv)KL0CFKBCT=?V`78x2T>S0-91Dk?*8yv5QY}Iw4djao!T~@s~$q#5v^fsW|Y`R+7q6$Hl> z%6hEoj5yOEbpYI_$bALt537wywjEciVV-~_DDc4qi3-*~{91Dam<+MgI7*-woVV-0 zl0u==yQa`;(>s9U($&fTCwdip#jvAMldZ1*=59o#Ne<8}Dv@btD;@pbv}lzhfXMqV7miO0${e&8DFXnf>jsmir9 z-G_SX=l1vJo8q$W_sjt~CIAOMh@RiIDXg&o9rNXQyM601GGOGu|0P|YZh=a`G$L?0 zk9sRWq#2}MV%igm2b#G)l5Otec#$4V7Uz@@uRY3?nwH0+)G-d>FT z{>}1#p3d=g&f{Dx<`oe0lG#e}>xi*bu*cbBw!CJ>d?c8ez89L{+<-Q15wWl97(fA7 zyAckxVcNgFKlIN6lpNl2W!Lf8039qm%G+h>} zQeqqBSDn3BIP^=BWp0ZHXESGv7W8N29w6U)u7=RS{X;2ehlk})}B8e|=Dis#Ey+V*)J9a-XG_{UNHcexDR zyO+0?wv3~VSeTej;QUT3EkzBR8N-Ms&;r9+7PwNax=;*a&ZCS&pJ1>G3HkZd08ugt zf^4PG^uIy(PwpKo%aO{Ra~aZkOT7jIz>PhhK=LBqqPg>b7=2s;RM;j!(@&NGfwzJp zbk)Tw(6C$H5(zH5@o9U&{Q&-Fv)UGg&sy#m=n4H6K~yN-+^F6Bo5ZYM4c@r?4dfnQJqGp*HS8u zynH)C+vV|<(?1>4Km9&X8Toa}%YFU-?%FPYc+Bf9X8S#Z|1DoC=n%HrTVt0i zoV}NXy-DZ>Y!-xaRNJToO2q|<0tb<fn;a-}h!%a^*@aC!fyrZL^dqzK#FsxhFr9fKl{$<@RZhAe($lWnoic#NDMxvbvgdGH_MID1CeGzqQ=#q@zh_R zuF}IFX`PjpRpbnC*6l4D_(T`fSkC@jV8_G#c;+T0X=uoDWgF_r7+knF-RE5s!g3e5CLE_x)Ru<`?1ot6_`3eaGaD0ZGt>yLs=c7=n1|Q5p8WAlk>hqK#;ZQ63X>>o{)$N7f!+81k+jE6HE2Oe1#>l0s{88R?dW~5(zM^T_$1;-rF0NqQviK(b@6_yq;l)9 zdg!|mYr1C}2@ARCT^0NO19!#V<>^(V-`8%mACVMEOq`X~W16w@L$neF^HzzX@17ps zq2l(b#5Iy@WyK+yJLmb_UwHi{gLccrIJ}Zg6Y3?l?cO8%_M1Q^c33)E8he<}vB*db z&!A4Chv$YQR!eqKN3l!&S!#$W2jVgO>dMuZ3eva#sfR4a>(5@;yCOI3Zny32eyC=g z=x<`wn>S+wfhKRK$(gN2W{w)D@&?7{!iyG{VwMIa(3?Dotq8e=p>5`d&q7c?QU9a$ zdmc7nt5jFkR z!%V+qCQ33ucVqu~qxyEEKY2(O`|k?#W#1C>QW7$oXQ zjwX50b*c-i)T^ZYyJ)wC+7BW7|Y<>rLAlbHLwto74B z_Z7~4(JJ~rWoh7-fE4kf{vZ-$7A3=sRNsYggNk6&tS^5%3)89aVhB!<_$UwJ^usXU zUlLbKv=mNHC7>Lk3{r!H3U>H~!Jopy%I%L@*5<H1ymU4)EyW@cQx z1srY(MOG5_LH{YYB-kk4`}oHnU5CnQesu^Be;@>|@nY~DUuSfp802rs12=BJ@j_Q~N|=mv*m zX_KH)Xv*0uFM2hmL~UM9FLI;6=fttvqtu$A*;6zpA?DDe4VMPR1%mHtbE`8Yn zgiX)&7|EF$b1cBw0}K-f6Sjsj_!?|F78mu}&&%wOK_?a`M{Nm&On|+O0VIQi(U9{_ zgN&vSH8nLB@aL4^EhyMDZ-Y-}%bW=VtdlaLpoC1(74nH<_J!74 zq;R7*^xKyDS3aS-qjJ%kb;bl6kW-}GfEs7_%l4-&5dj6lpBW5x&2|3*Sw$8{F-&q* z5%aI1K~96eOf%dnMg6`V?XOLz1$$6`3=wGy{^5%m+xyK^jMLF8E{vl_=MU*Nk36>< z&9C*U1aJM+Fe4cz`rQ3!W;#0Qo6Jc^ z#T~k!M?>j7k3^|nTWU#pb7+PC{Vtr2>*R+!04J&N!wlc0{N3Hnt*VN#ovUXBt)sCU z8Omu~*4>v;|A$kbm1p{J%P>;2pC-#>q1kob?{*)D490@T-}^k?U#^{df&TCrker#| zga9jFSW>bEq;2N?>6sbsa^^ZMc~jF3blnJmj??G&{$iY(&9PY3A)F@%S%_CG^t#X4 zt`f!#Y-PbXc}bSWjD`Mtj~dMvQ1zYF4?|gx z$~z1A?8PtL(g?c<66zM2_lRE!R7Ua4!litsbkd&t?l|&oLX5P~T%lurC+v6@Ug+>l zT*~~}Sx?*gv2q3GtG8;U8T!MMTf>=E$JFA+pPJcdYwc0U(yHtfua`lK;|#nPjX4zNV&ZCG$42G<qKBuM>T;S^?U)-aPWB&a&KJeF@x{Fww)sH4ZQ79-$w07q~-+si+pc8$K zbG&mTmAE&27iYyWQ+#BeT8VM+D~|EIy0~WXtgP;mKBXXs?TK1Qfn)|#Xe>sqx_pN# z{C<<)W*Xv*iwty-XP%MZx>7AdtD5w)`>_M)NNnL3cQ99@BCUMndGYACI1!>{X;{;S zhO*f1JFmXIp}g?=(L)aJ$Gy)=vlfpPSyEhFSRAXt>eZ%~u0R8502&F0*7JtGmun$P zeH9&Bo5t^I|Nl4y#ATR)1m;3;Y+3lyZ76uvg>?dCc$=SofE?5k1bo8tupXAQVOpBX z)}o@Kl%tOwOTgz+kdu>RbL-;L5liJbAV>#m&KneqWIRr*Hx_8{_!kRm~ z#ua2>RLFWbD}aY-Z&z85*W|$5LP$cg9xQZ62}n(9KKFxP8&2|;KCn&DeCxIEcC{gH zeBVU{_4(`-tW$hh>xEL1rkFAM(}17NFk}_EAjovvxgU`%E^#omq^Mqz@guPV^UC3i zGbBC>wU;b>=AwdppE;Y9A2c}5OTC%&zthm79N({~S+;;OIbyjk5|uPGZuK?C>C^V_ z0#jYPO3@3}$g_d6-48rUOtU%itK{fT%CQZ+fvr$hxfUV4d}jNi%F1SF|0)r&OkV8p zY3rMYkm?}UVBuJ*`tvU{H|zE*=m~M+vO$hL()I6mG+Hla zty^z)N}dD?gBJT!kI_o3EEBu|kP~5S0*nj*oYTA=m;1aU3Uc=qSNz2GFS`bu5V1cjeE)469s2r$vtv@VHJyLTjmPqV>J_bqoj$o{go z%s|EkEE<%n}{L-EZg4=tgxiPG@QrFL+i^C0DJy#gJK{e8F5Uh!LBu+z>1V_sZ9audl`9 zwp|_Bi?>g^_~@;`9!ZQmZc+WN=GgLbI5mNpujfbyO7Nppg) zg;CUj$gYoYO=aE&Q?1JO+ubH}Engq|LqCDVgYi1%LbsZNfWM3K_AP$a2*OoIT>Uwu9j)@#8O)eKp^o}4n?@;hQu zj+d{!UONkp#g!=6D2kR< zNHz554CNfFbqHt96ysRNbey+wev5)f?zJ&~e@37>Rd-s&jB7PbDLS9aSDt{Dq20pk z?97G?nQnw8ZQnd`HcFnJ)Fg!~)|ULWEa2t!*@t&+yYG%C5mh?~RF}VCMKS{}r#gJG zOU@KtgEwOn2>9!KOV^k%@#BYY-h}1&_L#mp)vL$N8YlzQ##7+XhBJ&x8gPDSL8$EA zs)pM%%B`;kaeBY@jraNIO$ffx*yll>vEg*vo9TkFcMnUCxBlSifba!x^DZYDd-5cGKb{b=00-_Nz+tg(bNB-b(kgKHu>cziaF7}HHst4<{al;0;s6r= zGH~9lo(uwCCrqG$srEFaszpxz{qUMWnxa9Pm_PHq_aUd5=U-!O_R;#+w({OVzYPA!8?*hfXeq|!)OPI? z>GPn=&02;>m)OV18vg3fTa@A=7IgRL`yOe-x84>Qn=kwL19Oh$)Tjy06%gg^aL8)v z&)U3xU4Afyo91^IejWF%(tK3GYt9|VZZ})VoHAd{IQr-M4^A@<4wYS{T&155_+Jrm z+@U!8lv{I>aX%=QYJzId;F@OHV)i1WHf504czEwnn**g!UMtd|A*pG(vNy~BnK?t3 zXhRnt_h8f-N~LX5nl3cWJp42tZ)Ma=H2Vy%wt(SR&2Nr$io{fCM-@!$!By4ld?Wp0 zTE`g!CIxHg`<_$YwgB`Fxt>Sh2h1*E#D-$DxJKYd1_^5CFPjrYShJUR1YZjtF)T~9 zkzVwJ2QTZ0U&VC0IGF%{7tru{c6N5S@6RTH`~|!vFqPPOm}6QAs7GS2Y8x6RfJWXM zK@1N)U+H+f?YOQ0?myJq4<(bq!zT)7mCEbDiT4h;ni!uEFqupif8Yn!5EoZh82gxW zR#^=|%)`TF$0_h7Abqk2>iR#XP2ksiLTl<(rf&VV`ySZoVlLY++d$+9EyK(zgNckV zrC_~4=-#qu3780Pb)5R&0K?+y>Gjp&XFcwg#?S(ED691H#jYiVp$P6f0w*S{UAQhKJ};q@iM{;@x+Lul>8N zJ>BWrOivsr5EL)zLQJ~yKYL=Lw&3%7p;o|GTg@!N(~P8l$Cn@Z#=6#xJu3>SOl=(q zpsOUWQxP$?r(k&+_bX3Q%pU>sOEyh86%D+aF@32){VK+$tiTTrUXdHR@Ib?_C|FDS z<|FVuO)iavNqJY1}bR-VG`k$Bs6){iSn z)Iv#`Yok6g47`^SXE`MHlouAZ6)WN}{6>C%dH7LbXW4`9S)-ok1|FH$U&=%V&7ZkZ zf@qyE0}ej39)Eeqq0bhd>Fl@^l?c$209Q)dKtZ1%Gq$i00kx5+$a*LqePJya#qQ1+ z$|?vMuPzzmOXCUE!;<~*0j8u9+qYtuOrm`n+<28DcXD3g-&R|en;Qry`XoQSb{`&? z>M1Lv2#Tv%t}+AuV66t5K8PM*GmZV~1DpbP!01JAoMU=CrT;UeQOms0G1mF;x7OL->cbR%c;=zmym#QDFfOWblPfK9fFhSz?DznFIn!)HvCK@=i`H)W)wf-m9eFs zJ-L~-d$Qr%XX-~LF`V<(?%r1?Le6}kkqS+1) zkor#QoRhR863ZKeP{0#8_sZ~ulM=dXTJ*)~ghefu>T8ZAF9K@w*NyNRN}TRw!hDsL z0%hXtsbm`by_JaU;ky+J``?5hA{zU$@f}F5WbO$O|NC>;71!=J$k-5XdX@J!)gR{KT!%S%epCpZ{T5Xf>c<8K zJG3C9pB*u;4fAiV&4C+W`}F}d#_`osL(Y)uzolYqO$cdxU!i|^9pvE(#Q6U zl+XXJUL%jb``B!wWh@o@Yi@z^z?WC-vJ$O=qX+8D&%HqZTXXcsSbUBQkr>`iJOPyi z01;||WfBkCmD5S-e7#J6!U`m7nb6+2#ieda&_tA96V}n)i6ZVD&Wl$13zgeEDlZfS z@)QNGk@5R5WLOPY#U~{h#Ck6awbGFbh1%wu zUXzkmrS4LNg_eIwy!etyY1?)Ohh(9KMx^6ZWE&+e$&isdOw&@*_xY5;Y4Q-l&i=I3 zQEi$n@&9mlIBg_oB-Y!*jHJTTEjx0 zM=uCH*&DM4HHLG>*mUbHgs>OFz|9_D){j7Y&^{47~j zQJgwV#23E>(ha;7zjgH$S_Ww4eebgTVcA7@_ks8708!G_)|h7{aP1>Q?`OnZeA4~> z{Z>%Gxib`i@3(0?KdljTI+{&RZ@{>NA+YL!V(JKlZL;I!SI)2zlmMI{BYd@7mFS`M zZ6YT3v?DDSc2BuKLwB+04BhG#h35asc&mtGJddTb6brp1;tAn}=uE|@%xwHIBQ z``&=vw`~z+`8S%b&w@0M39!dNqc~Sk?blt)N>HPQXzNlg?h$TYw~3-d-WA5n0D9Og zBXu-m;Uje#_X{d%BZ^nvjP58n>yq)s0LVbk*jtAGaHF3E$4z)YXXD*auR&-zuq5Km z?6h#`e5Zr)6c(4I(hPvHFI)h-JiVH?G-+7)l7a-yju1+-5f5} zZK*$VcI=ur7d(9ln}Tte{Gb6Oh(=(#lYQ0*#w7fI|NiaJssQslJ_&efXl|eUc)16E zBO=X@PdZ3U!W};Q`m#kJrg!RZmw=>Q6Z@BD%0KWcdUyA_{B;naSZSMI+*>w8yTmfp zA^vU`7!sak97@z_m4Df1!ihj<;Z=|_nzisNR_nI*W*?RM@3S{W^~9BbIr2h7LWcgz zH4lH!h8pLLnbHkn(sNL%eWi>iVrCged8ha+Y&Y`_+5F(AoB%`tw7YxJyd*|14nWE4 z8IF_Q{yqno9t`u`bu%?K1JV`d%QLf)qbvb;fzWlFL#u0X3i0sF%4$Qzwn1hbbHT4s z7!EpZd$axXEnB@74YPv#=vN)&%gheLrKPY1!@T|(SyNp!@eE%x2*2?5ft9%i1!P<) zR$}yT;3uKP)yXM1d)Kc6XH(+PUnw>7XJ2C_)qe7%F&}BoQ9PdC8KX9!c zdHU3$wQ@GS#X#d#`8~$x<->xv4lOr-serNeuJNOG1Ag!#Yrn*MYmJcFkhs!X za)B$u7^s?dS(nJ1=b$S)ATOc zz;7)`{42e|$fda} zJvup6cMM_&%;yn8qF>?8FJuy@)W{n;3B?@vDMi#_b87*{;(+JjOa8GyZcM>%cHX8U z+%_n6`px!(aCo*}{#zb30AwiX;Vl)D?qYXc+8ARrHzB7-W z%%m)q+y7n|;E;RQ`8`F8S|}|^m-+%z49fTX&2w2C*)8R_U8dv8rqimHWy?(hfnqA2 z#d}^OSrgypSn4|X8oDA>4^3!UzfAwlo7EB6xK-!%+lV0-n)tTtf$*hN1a{on#K(?> z^FICghNo^9z9t&f#mj5!M5$JYFM_?T+&N_5OeICdQc z2Q@?lUMWbJGCT3iLY`Hfv1qwBp&*-~*^4Uh`F4W#bcsPZNmWM)imfMwcDy_ZVQ6&? z*U$G<@)jmGX~M%c6(LBI>YE;nYI7Kc@o4zdvymS8Kr8iC6W$*q6N>wHN-)6q*FzVr z&_ZLBx<5&h=AdTHJa@R(kQc|W9ZrND&ZcqgjUTVEZ0s)sD)BUCz3LGn5+Z8V%6Ch# z6a=R+J06Iy4nK{(K{1I${!Q+SP(=8PGz#3M8mG|eC9yfT;LhdlyIl*%A@Nu<)osqo z`d+>hr5BP3Z4Z9b#z{nKO1a{cWM=L`As@paqfR%isRJQGXP_ZxPp zAW1ZHm-nwIyu~GNvv)Z({c^@%3>R4>(LrBw#P?I5X}y`mM6BVb-u$3t>6G@{dZ6vw z3;bnW^hv^M_<9i%yMGpV0pYJ>KY!MR7tD<3; z4BPvpG^sL5y`R^b@olW|#MsIFJyBv{wb=V|2XlvTxqG9qOgj1rt(8~Z-ywfkwslSP>OF9a0lNuJa|`ho;`S(lp3R z3_Kf;73p%Fb3OGxB}aY%7d z<2z$0uNqtDTw~8j&Z~{eFE;eoiH{Q8d^-Hk9B2NZ64)OhJ!;)bLU#7XaFdf4r*sTD zEcTm-#?rAz;uET5Ermk1r#;8wlCBVxq#dMWRl}F4AMuyn2seI`8q?3e33S?>qeHQa zlxTWM<0i+QX-xh$TkLB+cE^%hJ+LmYTY?+3ba**d9DgRMa(A=g#@Twrn<>X^zgsd^ zj6bpG3iqOk-$e3fXg~WR++cC)--fB0(&FvkH2Do88%Ai0;%B!AHeUChejAsoqr{Gz zs-=@ZG}}x#om=s(_K@QTQW_r8-nyM*I8P5M;z*l;x8m{7B#82~y0Crtkrm<1Ir8`V zpQE^Wb>)26cIgD>0mhe>MuEiD1S~wGE|ED zY2%kuFzUA%x8kTm%r6gDh9fD+0&!Xl*)e|?C$Mv4us34NL=e3SVMuH7g0el&=1N{I zE2l{OX?L=Nn<^J8q7mAvh9yCR78r+?=Gc3-u_Bhp=^q~XKHVh$y+$@>MtvZ@I7yqt z@bxJ@xAWp3($|Z&p;$72^R=(V8ppPTnEn1us#-lrkloHwcPZmuoA&Ufk0i^Sv z>5u4JC0IN>sl&4+Lsa_MiuVBP_U&4aB@Wsy^*06=OM`A#5w+ul<1~ zWoxZd?8XVML|C${3h9$fSSH?w1T{IwuX#U}x|9t59`Pw4!W?*BEXU>=JG|At+xrOWYj}~ii#)x-KHF5|nrv=}= zwAQ?+8PCt{x6L166};tnZ7k^x-6f`oVTqF>f+UtDm1 zO7tO{MpOcKRw{Nu2rth})|Z^ArUilmn&f1)-BLBWk2=olb~un&(e1$vlsv0|kmlFC zm)GUj+;3=vRwdco+W+xr$vV%!++N?Dw#%o$>utLT)bQ_gI&|78gY;g_1HC9h0v@Jp z0EzmSQPp#FWY!e9QvHrhFrsNN`}r7V*94bapD##O$I@^9bwR^s8Cz^_VMnQ?qMf(Q znTKS>fe@}hb%d7xV#XLY+O+{Tj~0xRA#iYT=(sPq!Z@w;F-N2TfA!{DH7q zGmUn>*g6qmBU$rkZ+-8t?P7d*>H=H!9u9;BnRUBSUp&1O$=g?GZErcNN{x8xINhb2 z4N`yE8s+!;nJEf|$bCk(MlA4DOmnc2jwO6L7}nzzQ0p8~=5NmU*lZZkW_6>C~}`jmxf0zK+AH~M~TS}!egehpWj!ZSAISgpLzsdx-z zv)!x7if*13*GG-7UKN$5f404Ze1p_@OfI_y=;f~04m?HcQGcO{Vb+#uiYFU#Rd$9F z_hj{DyeBH(vRa^C?oZ>X6?SW7`h;KAlw^|KiE8EfH#$D8I>?N zw6_)VG?Hd{VVuN%rXzdkrzry(E`RkSww;dS8tcos6$c>R!ZqF=v|O*#2=(JA@(Z&N z{>aG*fO*^j0hw^|2nK(<7u=WR=@N33XpaE9dSQm1fi6E!L{ImW1i*935G)vzL%9nz~;MvFnkPi z0&^|-#KDGX!JstYw6|XpYg1gAcazJWn%%N!>w6O^`jB_?$;~L}M;6$XrwgbK-)Shb zWX7B)KRmfb$pwUBDK*E6+E<5nfy3PAtg0&COgMv;i^Oxu&HQu|>*V8Zt48i-G;O@- ziF`jHxoVD(v$;_v15V}t zOq)2e8kIFdorwp6a%ePje7IC>lvGq|GDunp2uYe@bES~)9}+BE<(s|K*|ngD_@*R0)HMh0OL&Y1GLZ(E@ciY2;x1C~ihO!tDAT-Og4(mtP-iSQcZ)Ory6% zh4>Q)B&Pi%`HS%{71B~?JvWiinVumqL$(FxBJqH^Ynri%-J?_|TPW=MI zyTb*O%s8cWB(0AJ9?-oR$zL@(=~O$si!l;m{fXKujB%;9wLTb;&Q8cP&- zUx{VLH=`!}l{hP>C{dUJ)9t%5@EY@lIn?~Ps3+-kCOQC%-T(U;lz*~nX{Wlzo<%}7 zCR!9zSarciVF1PA?# zDlK000RCSxRI~hd7nI7yCS_%9m}p4Q)Uv&jDQo|F{bX^FXp``M>8^@0qQ72qQoPlAjrLts|< zQutNKm@;}uDOZV8Ma@{W90WWoyvcWGR>*aZlMLo`wDs$znvE6D(t&g8f6|4u4|Lg6 zjoF+08-0U1)-^i*jK4wnKK~m|-}&HkDzhs2_ERlUgRZkM5<;IazQF-;=8Kr#Y!Mtq zjmj+!otBDxfh7us;hJsGPZ?rn&KV%wUX;1=hrB$YJOn$UM7b6SS^N+nr$!WjjDf1K=zITY~ny4*xft#rebA!@$pX z-HC8)JIQ5p<0bheBYWl2;2toUn>wWxIe(oh7VTt+ViPN4 zQ~Xs~QMe4^DX(sYgnO&HrRD7Q1l@nd9#+~)37oLi?j6{EZeYZKX{75j)#7o=z+b^0 zfc0}Sg7PD_c7|==_b)?zyz(u0AYl>()9f!fI;PxoNP4Ab<9g`2{r%kGX8Wn%k*Z2w6mPfSjJ49sW zg4PT5T>bo(2$-$H(r=M~BZZ3@QAhz%c&1lml^i%?$TM)lm?PQnMTx_-lE6di6IU?- z;X%_$_dp2X2-|2PZDLcV;q%fxrIqcNRGr_WTPbyV`_;x=7QPmD-(XRjM1bIR5iWr-6c7AvFvMa%= z5&oe@W`+05AH3j*7ITw12^`Iu@(goQ@61!yC=cGzB+qht)4*r7OULv4($=(0q1Y~m z^tM?aRqMQNt*(iP!q`(h}`VH79 zJENBX;w}jk6YnC44;<`TjaK;DZ&yixpXI~JVznQD#!EGCq(m#OI?PDF3sv4JF(A2A z1x(&sT3VWb=oEx1Njp%DzssJc8UMe0Y~smAMdzCvfyV_u@OL|b(@ zA}MP{Y#8yeqb5FP7F^4g^Q}*f&&%f_p31aGQwWDqgDHq>vuD+gK{dUO2hfRSOBq=Y{-3o zlolF;Sy~=yc`xi*MBN)okP&F2S34l5@%Ol6DdE|jR4-&4Y=~w|2ib12+NpD8o3gQ| zBJ+ID2Km;*V`@PhCcoTgPY*+A@gnqC+ToH6m`-rI)RT-xW-<&}_#k_Q3&;ei?h8@# zmFLH@B54Jpn?CtcwfMqyi;Ly4WKZhM6<4XV&bCT{R&GDm@(3}X9?Y?|MKTbo6dT4k zZ~ggQ*1?_eeez52_QY2c8&I?~5<1GwW@6y()%afMROs(zKMhHd3iZ~TZH=$D+bj3v znMX77^sig&;zKH4`uYWY?J!4{a)pGOk8PoEWl_)y@U=4}t@=W+-&)Y_tm8M#6(w`- z9Bf!+AJ4bsp02i@J%Qd|aXE<6W!JltH0^_HLC&&O_L61pGVddeC~=&=v3By>E86la z^-Hy?L7v-a%O?W;a2)CQ=6P=EL@Ox={?+h&;t?FK8|1Q^M(awD*-&M{u$4QSLwIACHtf)s~HzQYbO{TTSsK|NkNBe8h^4^Fjc+ zJxK;|+giYHF+K5qcmDA1r+NTx<4}KqqWA+l@G2aMZ2$N6+`N}+t^$Ow0hV&}Jq7g+ zT}w+#zq>L#fS3Tch%z;5x<(!oN9HQ)V8a=zRc*yiTB#Cskt0s>F5@;&(egqa!~0lD z06AVT!!A1=k#V*ouG8`~`=@#L-|~Ledm1xyGoXQ4RCg35ep?A}P4w|QOYMT(4{j7) zRk52|KTFdzX)5ZYa9fK4EUpJ6P!M4v;2S$)HM)9ff-)5q6+tS66&w{zN>jKl88p8! z6+!lI=`CMT!pX$-bb6^R$}GAKr{wpUa+Rq}i|cIOG$#D@Wu4Y|=9~S|RmZETstz$= zc}`}-Y5tUEE%uLUp^W@wZ7CX8Qf3=L4efI&FO6!1mLg z=rNjQ8c>ilM!5-y{iyfV4jQgeCSau$oZmgVDuHk-gRWMeK6)5-8#Bry!SJOw=YEql zQIdpwrUAE3B9V1*sYIna(;-tr6Vp?l;0nslb$>B?wPoW&oH2{syy|eJ`>irNYVjZY z{vf$<12>B6AM@rQmX-(-!yMe?+JWvnAFD*r{1m%21gYR;Eu7m%EFtyQZ}yAu)o>Zr z8U=e!m%Z@kFBpdCmL1q{jH(+UH@hFWo(*Iz!6KRsCX+y~$TV5%EqZw8;kCeutsWMb zvmMNq!~*=ow8AcHZBaptQ50OIJQ=+KqSN5Nz?LFYchm0QQ5XTF;&J;Y|Aweq6dzuH z11_y4^I}lw-JMfvYU<>%u@m$~NH0){55Ke2fL4MGV8;L2B)=JdCQgy(e0>2=7mosNiT#nH#%u?#^+TuO~tN1mt{k4r1s-kHc;m zkVz(kAjEi+#qoL{N$x9gX(S~I>r^~ufrkjD+cn73s2 z3U{m#CxJYClChS+;f7xqSJ-`4V_+)$!~uKpCkJcaw??8#n1HFTgosW>8or?DPo%XD zB{&?}DfTL!uJUZv#rnxXY|csC^&724p}V(tG1;D1_l5M-k}Pjc#bE=^h|#oSDmOSv zteh%xmWEpS35oC{c?4TK_Eqo@d)#`t-W*6% z<|_>S=(vn{*P?Wx#nFpd9Dcf54V%zIvD)`8jSL&-%ou(GvM_pY#$d|#A%93@ys(VX zbx}f9QOoh6JN!CG9w(U%Em!!|GBJSKJ=2TyXPl^WAf(hZZVc?KRioqqr{h=^i z#vp1&GB@nACDF7AQSA*YOyv8&R4Q=&mU+{dYNRuf?SZfq5BTQyuow z?4JzWhL&7X#Dvo+IeI>;Od*UuSKjGk5zjf!2-q3^(`LS}u!I?op zNk%AjN-<#CU0MG$gjCO@j!VY#fZ1%hCbz&~7E{>RosO`Z7&-KHx1)S>17!$xsF9F- ztrcG}$9rut*zv3$17|#cNS|&d2}{HX1mHYwf>%<4%0xb&lTYijL4Qmgos?Ll+8*j2 z-qz=^a(c4<5K7j1F^E(U=}r~PQ@wxmSmRciplwZo{J^6bN)XLQHaxctQ^2s(rTgAD zl`B!AKus?Te^s!?4~+?VsK%W&0JrC!CX7B7Oc(!NuWhGTBXSMD%%7i;< zdPRdC@|+?FjC~^+#=~kimZuckhu>z&R%GL;<=%s1&FOj?1d)Xme-pYNxk0 zI+jDhr~ldWoCw;kk9_nr!PqnvN^t^5+x2?Xsn zQz9iKJ5VRiF0EHR%>kV{V(`d`IfDiycf=7gESHj0!Fql2mNL==ZXw&fE;<>&pi)J@wP&hw} zi3Z9ynlX&>CiOo(*}nC|nrA?ax*@^hjS&6((i&DDmLxiUj5NEn8gNDdwPz5LhK}&Yy#6uQEx(m z$MYSc|M8`&l1~djx|F-!&7}`jc=%&VqsEayD@ffDM%)aA8PoJ3D)l@l?iFJ96^~W? z6;frJG@qKvB~#Z0`x0m!lA7FBP9JPq2AhcxdRdv+!>C6As8V_RkVDD4@k8HIND|0zJJvB z`TK{VPQNT??7KYZ>1JjLsRQF6YE}q|izqis)Vh}YvT~N!+4J?C??s!A4?Th4x{DO& zcq)ne1SV^CM8(h=`OfhjU{P4Xjx>CKNw05GYTg?>UFoH48s8&Uk1T}c;b+sv>O9N& zKfRE8(VP8I4d6WfgK@1J{)ByYo=1B`Trde97cG*zwOvXvu4-Bqk%>L{)a&|^@y0Y( zsRhofE=g3arK7M6t7Vytn%V7Q^TNad3QZ{<2R^&K{k|8|OlQ2`hV^YrZ z!aKwFK6c)W*JGm1lYn!4N3S`O50S_u33sf5Y)PRw^hhx8hY);np(byi2C1)OipAGP zM*#h-e`-I~G|*ik2zV7_gr_vUj~XWD8;4C2xU8UKce&B1H38k5Z|R#++61 zd&$6;5%y#`Vo7bfp>c=Uc-1hi_6Q?GTpZ6-qp$>=e8Q-&ieJ`r{ zYT|&KqHTz89MM=a#qpZ`fc@=VDr6(Upow(Q#3yMTFx+P+IUwR!wm6xrxMv+%#$+9h z^m2XJ^ZRj}rS+-1?QTa9(IBG9Ox@*Qs_-vlC9YT7-**n*(^eANQWkqufnaC&a;yW8 z>f+>V4Cx7f^~zcr=*Yol^9y9HT{YC7xJtgjJ6(inT`fr*M&as%*6HwUt1b=d$ioSL zmLF@4Z%I{4?H?r9(aT`vtMB>KO^x99%9yyYqPng_h(&}6U$fn#f=@p9R(YF94j)Qg zk^w_!QB*L@cFSiz$(yuKg^J?HEUBPBmpowVfN%!`6R))_ps>_UyW~DE#FkYEbQ@f0 zGvT1N1vT$|&2Zi7eK~`QPg*2@H@>N;rsxDfQkT1pr=D)LU$4EK9?~eMw-Z$JVXwF2Dy@fu~}Gy zM^e<#pYdMAq4?^B+Oi9r5np&iTG8q~p6vcY2qxx@lmk_?y`~p4g3~jI<#PhofSufPi zf4`t%$M5OYX9$0*{60jkcH)MqxMBi?$y6dEkp4>j=Z&(Nt^xn(y>4fC5y5I<97hP6 z@g~5`_)3jAOp8va$&GV|10C1ly2nR^vZOfV>8Ww@Nr`k!A!7 z$W^32bJ23k2IqXsQM)cX_vE4YVGVQSqj9ZjDvg}I-2APLzVgZ~ka4@*f8Z7vQU&Jj zoAZp4+lBIng$nosMbi8pTqmo)P5y176@cksm#VilkwSgshvX1Jw=!JZlD}{7d2jTw!~ukE4VnX~|`|n<2qKhd_succ2^Y zJPY^o+3S927Xb(ya<>`>|7=?#bDuc7u60XHBdc%dG2<(Ym}mK&@Hj5I8^9t`sFA1h zOt@?MT8+~I&XbEih{^-5;|EBQGKDy!Y=Ii)gZpkN`EY;b@^$~SW5kkyG`90R4cvIx zVq=)i=0IwFm+(BH#` zTCB7gtb-6*jFaCbu+&hl(&vg3^tp{ind?L~Gpxhag*lT7e=P~AcS+_kgsV=4sm}SS z!YdRT9Iu31wLk?YuXt_-oy zE=JIiQ0Mzr=)^9lLDeDmi5XnEjBx@D&RC(n}@)jAJy?}A{AtgjY+FiJ( z#M9L_Kb^9Uq;j-0eox)w79#S^WW4OQ68V(zeGM_@riL_vgd+(hj(5tl1qTC$p|Q1p zPEn|h9hx#VPAcYE_%pdhh8M%XffXUOE{Af zLduvVqJONxHM9n&>$h=J$Gh136Gm{;u*NgoAekWoX@q>{aF$rlzDYdPfhnqlfeCI* zP+kpKdk+~LXcUzKqm1;X(w;uXTxvrZw9EHxRhsTgVXGtkX*Cq0!Ohi?0~n!xN+e^Z z*PUC7PW|97y)2SVU&<{rPWs*zG{8(PzcRvfgCXJpa&_G>Z|QW`PqH*>`20S&dSPbc z<(pf}viKplKj)m#FR)f^&COWg;HYRpFG zrYy}9x&6taUkPk^f{_F)K6yPmX{|nfZk;xoR-;JWvzJSymUum4l`~aVFjdZ-qCODk zm)$sM@{G}ayBbG^0n3?}=sJ$UY{ZO`e%gmhOX}y@KcCW%eA__H6@SGY|e|anawg8{x&z88nULrVi%v1-_F%?6YXO+VHOXp-st7lA53pzk85U z#qYVZC`LTOIlkc(u^D#U!Yiq~gl~>ymI2TXx3{s9ABlJn0}#I~X{Ewz&K9$n%pwu7 zMk|u4R;N!#mg#lYLYf@X96 z*!)R5DF@i^WO?JkudkJ_z9l)!Hb(r{%=V zc6bmDaN#Fss)Nd5VICz9h&^JV?5PFpWw{8F2$OyVtyp%O&4A_jSWu=69v6XGq%zli zjXqJZz;w*uS(j;)T}xrA_h(3mMGW@d=0ZX4+CsmxE*fh~*HrtX@jgqNcmwoHhe*JP z;_OD@q*?WqHGO4^qYW=#3Nj%YYWEcvuJGDF0U312;MjsKeZ40$wDF+Agg0{GrtaO? z;`aasGb00EP`;zn{HUG$KEsvUF=`ZdoY853xrs&9*r4$UFj{>M+L3S`k|J=dCJJ2} z%w3-HrR2G8M-)i}#(010iVAoe+A~9$JEi(CF!?hPgRO7C*)=tvvoVMe3`oTR7)*}= zTjmiKCSO6^)ANBkXE93VwhhddPcdMWkW!QxMu@(g$G zEn8HXKoXW!z6;ngIm6nbH-Vkc<^Fn6nXd2GkNad$liw88%lO}qmV%6cbB4_?QL2Kk z{g;zwvedB#&0K5Y&tab&Z2GhFz9e^C#K{!URD6X_VqXs*CJgfRC80#nCqfq-X9LvE zt_brk#io)(S+_M|&&SL+%IBb5i*xKe-j)dR0RL%gL#-JJItyMXsa+Jd|M5{d1OKi; zfOl&Qky;7W_(K|Tz-N+DOOEvw6~1z*VP--`+{F?=0K|z44467>Vk`cVP6=UJiulMp zW8l1g5GjW#Y<3zR`eQ;ak%$cwfG>_;u%2d=Gs3@bg~f#HPaSeqHd7+Ow%7 zZx(Qe)Js!XU0BlSG6wwL%>Ux1!(b|{Bx^Eu5QQr6gb#0u7GL_dxT)!bXaC5HAw?B@ z-f4KNAR%xj2Be}GfUOWP1YWqc8`LiK5MIa%u%+$3=R@Bq@m@#=IEQlgytPhiW6)qYj80Gw;RZ7sPDydO! zAd2lI6&-vM_0iQ#7Wc2eubMqA5Pj;gbdb|_v!PrzuaQ#>#v#dsP%t8UQh%R0_zRhV6yYHKykeF;V%G&8B< z95m7+4P5^AgI%EsY}A`tCZk2;;4hWu2m>gBROKv5w4*H-6X#Y2UTMELCYK8`I^6_* z4bMA3C=AZGLlpgGa^+UHBM0vNe7P-k@aF_#EJrdb=$CFRJeiUt(vm~6zx9s_P}xZf z!o1oO`ZPAufeC}Y!Y*9#cav%8DavUO>0Q?u|D>u|%JBh>%OcwJB%6XMO$KeY;`gGe zqm)z2ZmaoNiC&WnPS<~~*F}9l%=XE?P=0(qJjczWwaiz(l4EF+Gh1tNu+j2li7$g(ncH9+^L>1>W5ryWZl2Iu>7=0Dc^c-F^|`uf3P{CI z2rgzg@QfQ4q{c8Rn+I1sHMv{ey*0+gn93=5MA+mFXKHJvy1q)&jXs$M>TL6>w}_G| zg0pBVPkyIrQSqxBZhBvH14k-n#OE-1=>$dDh#v2eGLi~~D%wvgzTh?3xSpNHpF+`) zXC+_K8y{vsT&WaaTVL!W?y#2TZXq=vo4DiH&OPIdYAL$2F0P~QyrRboO{-X{O3c0> zzs}ywaXkxgzg+!cvD*0yOzRP|6^i}$91y7!LN(}u0Eg|apMKX=bvsvYt$QGYiK3y} zM6n5O6SMarbNOl$!X_{ z#F8%cZeSI1CF}g-!_a2&ldk+0H}UJ7#qKb7czSWkBWI_?_M*GIuij}rQAXdnfv=t| zq=Ofs8N#)MZI$*%z*TlPeh~e>CuRAyN?22M$Gm=R4D2z(vw%48!bz~y|vh6i&>`FXBB-u68`WC^8Xb(4DF zKP=x*)ZwJjj0_GBE{Wur2XV9d7PoLZSI3 zAlBI9G+8(tS!P+Y?^)~uTYb8|@qAf_H`7F~?BYl^AeVji_Gxq;Gh!$bOsdrH=n5R+ zHA`?}AF~E5jK(Y99mo-BGJhti?X$f0q3G_ieHC_ZQAWPG{uB8#Zb%%6+LxKw#1EyC zlf?O*uED)s76gLS!n6O#duN4NvnG(hE30^Fms}4i=yzn%x$` zGlE#Zmh+3>9Z(*JARsIe|&r;kn*l0LOm#CWKc4MlVJKY_Ut`KWt6#=Mvb)^zFU z3I06TJ05ZJB+`-}{G5nWypvL%B1J#fWl8b7N@_n#!5&840`Vt;TqAqbVCsv2gp-po z)R2jjd;fP=SXZmW|4ctN+SkQNQ~C_&FEgRP(3IB`{;FJaj{DyMyC3syoxUD((8;+_ zWrKI%DkX*1gICb(Sf*X)bp}-L=ZR=?KEL+Z8MBf?tC$@NAM^!^#5Udc-R0WhKU1Fh1+RYoZgQ_)K-L&-* zL(`lq5Ae=In?=`rOzh)5jTn@KpnRJ$i!B>9W6G>t!UVcO&QTvRcx@JGrZ~|;r7ady z0E{bg9-5f|R0&+}$F4gm3lA5rBdP~d!~3{AMajNhT6PFjbSlGn76zQu4E`Q@8Aw8V zG{%c%;PO)3e}8_*=g7>aU`q(6lRbUITYhzEk8nBK*DJ2_n-A6kZ;jo3F!F@8i$;K7anE~$GAKaV%J#=Q)sZ2+P zba@Cio8`%71ePN`mQonoJolVvn15W8w~+PEnR!b2F|VEF+A&c1aO{iJFFzFgLOPU`SPhr5?!DA4`n)(-@#uaNpehN7tW&M z26s&FMa2!fEa%ascSG_Kn#RzhR4MrwUibCP|XI%72;>Tu*JYiWv=FCyv@j2!~2 zAC~NN82ZQGaxDZzMVez1HR!M5{rux)_E@xf`^=T39%~)`Fh&{ss5BiETgDh?c-7EL(1A z5@8cMreU`}t((TKksl>3pr)UbanDAKsf#N1teW1Qvo+aPI1p5`p{V2Y&!oqUmch_` zk#pu;8bn>ww5+?oVaAq*68wW|mJkb58CUS+*2XH`X55j~C5BTg(`UoolQ_Pq`)U;? zRrHOOeMiYNHC>nvW;o2e9CPNfLMP$5nxWrgDB4TNM>S_?W*gG#cS7~4}1^(kG9YZTo<0r!= zEX5{VLx&H(&_joR^mL!3-oA0HzYOZ+gfQ)EWx2K!d52Y&sjrK;a&Y zSU1IUpx;!U@A_1#F?M!4 z)m=JCSi0@6*(WcXCecu20eaI4t4MStfBggQG=de!kb!{}1=4i?lM7b)C1eaKqcHx6 zCYr*~$Dz0O=rfoErNoUz(LBBq5(NEF#n)wzE8==$oCIIPTLO%>D1!#?k-S|Jd-H+U zHB8p^44;n$8b0JCI{rrL(H2%%Ll$_A!eh|(=0-FObiW%gj5z|g-{S*uGQ#a6!KJ!i zPhoF*(FL(JS<^eWq}mFKjZ1h$Q0V;3XMd^dbF>*|f^~)LHKJVm_8ACs;(>}~o2`lB zMFaO=N=aYQeB|!}&V4&AzmWYmM>Ro$&+iIOU;Taq9Jx4|z7i1%;F~m|4g&lvdutA9 z$-1H6yH`9Ief6oW4q3rg=uX=Q82ax|8*HEc*JF2g7J$Z=W06jym$|nI)X0HJXVr<6 zFa9)LhL^2`&tER(T^V#Td7Sr|GZ5YF?&xTTUaa8UnTyJ8#pG|K->@re%iUEFJ{s{? zXr)5fiPgE;h54xyUI)W=pig#u3UT)EY!#^YRZ8s(5*@l(0wh=|Q5tA0y{jA*OsQrX zMq(pARyH7CJZnawh6`PEa*Pg>8$YtN!eFq$9$lb9|N9VHRk;&)K1K=v0f@Gs|rQ_93Z`JTMA{=*Ir;g672G7~9=5Y|3_pjY}4M5B(lK;nY3Mjd2ik6jH_Ia+`L=~5;SB)i847C=-<|ffb+L}<@*oG2g zB1PE!5w~m%?4Ui)Px5}`_p}%J#9QTs=Fn@srIaX5n#@d_DCx@Y#Kc0tm$%nFkUNEP zD7;bmZUbiU*!?W8%=eXk@7{`mXNQlzzfyai*CJtlY(b8a6rBiN73d zOc!0|ilevg^rD4*3UDs7{9sc6l)Nui#^H>+Z3sh@r}RH%m{ujE{_+vx?;*O!2Z|fv zAU9OH8FoeigB}XH zU<_VNJd^`+{28Xk5>Z6xC!`q7oj{C(D`<^W2$~2<7g<3h>0t;9)t?L>JfR*|*7Io3 zbC}PGOYMCh@n)Ys)`uF~Jl$u{Vyl|qZPh_Tw?)VReYDI|d>XH);#uH6VU%c0MNkXV zw@x7zL|`a6J%lG14lS9nxL+1%Va75UawmH>b(#XT?}eKSwS!~@qsQT)=`Q}bBEM5x zgk7N2jMdubTWiENzKn^1Sz2aqyainwbbrZ~cyd^B@-)5gx1bxJfvP76Mv+dzMr<6B zE>3j3jTBMks>FHq42)Y+Fnts{E>d&|8F#2Yp05kZPsXj_2>H z?H(XP4u%iqg0fx5_MM&Adbz|CjA4n%YvY^Iot@rf0-mQ~nsb-N5HKw}GZp9cgPvFy zaxl_hEyCOD^9=a*fQ?Ub6R_rdd$x5ZBLrtjILO13N@-PG51$^Fhp znN!U0dbaib>dG{tPf*-sNOPZ=;XQt)h3w!Yx4|97F?SvrPZ~3H*;(mqcaLz6D!J=I zTNklA2H)oNg)Yp0K#54-+Y_!iLJ(GW_k(NS_hb;f#v|KaX-ToeXj0ZEAPX(Y>>O~S zGV6K-YA?Dr%cEmWwzF%PQ4$5hNk8KA9L45!ks|?TT;Uk2gxrUBR@GifKc#^uaeSy{ zhR-9NXD!u;UV_eOze7pJetgfb78f8OYsNW~g_NUs<4D-U(XnFQb6u`RnlhX|2)uSy-UrE)8!9vxSWYK>?ZQatMXaJ6TJf`+BHKFwHm zFEeAjPHU_sIukT?@-rqSDf*ApY`)piYH<7h7M^*RoQmvV;D|g)8*tP&TO!C(`U=7f zl*5{iKJkAANQ7X(C$7Lug?IUy2bEDL&uB<^PP`4t6CjWX5h3Oi9Kmk=k*gmxcKk6v zG(0codw!wxoWC}sT9rVl()2-W`L;$-@~(^N2C90CFLu4zXv-Aeihj(wWBUyIcEW9F z7OnHo_NbiT*dN`eqgQG`zac56`3txfcc8XJyBIsxIa7m*WfuB5Qy>(UlF~tJ4VIGI z`Dd&rGIV*E?|cZUDJAJIv0`8=5MJj`DN1azwDH)nFN27pmqDKoFh08qVE;pR1G=Vo-l8mT1{ zm$TjSUO<3>37w@;>)X6uOuu#8RkibC_W6E22CPMnZX_yA;gfGQLJ zooZRh70&k-W@Q^Uzr?GF+KN9*0|eF{*QTo>Q2tJx-k!U$@|_!0P0Uh30y%#w-YBi> zpck1@4gcxHJ7CTZb1$`hZl@c#Qnkahpf-r7u2X~768E9YBIT;Wmm7K#5G7G5kyPy= z$vdfQ*(~@@!k%bO1XU6e$L!K%h|+W(|Pl!#*X8-^OWpn;n6BF#~_2s(`HBJH#Ww8xxd(bI5p{I*~h~_Ud36lox#cOUlkSS0Mk?mC17RU_|dDqenyh^eR7k@P9`kq%WY)L zapuxy*?%XkL@9m0dHL@rVpAa29;*rnQ3%ylou&GDF%)vV<0a(9@}pzL;fq03O|+!H zFciceZ+8YeyGRv8S$kizr}_VVC=$$ngQv!q4@lAJ;$x}Imx~4_S9vuYv(#j65isJ# z5c$4s3PB6SdJP<8BPLAp%>k{uhz;v>6E;Og>xAutaD;g8yI|h^(iTfK0dH@=-`8OP z3$^4MCV)*pBY^)?+{^1Hpo!ag7XiO-*5#$3L2U~IPJ1B!$$l|f3Ac08bgb57Ge&LJ zb|y%moWAVwdji!x@M$V7&;$i*@i6Q&EgokR9R_J2y6VdmhWhg|TtCPpfqJW%D93{< zjGL;AMDvEs$B){YY%8r~JDt$p3?}1VE>v?7j;7U%S zmYceTF%^eG+K)OSkBSAVaNrd=Mp*b0R1u;fXGoGcCdl8dKgB%4+`Mqw^{b_3qcRaD z&As=&0sX2YrcC8F*iwPVBvQj~jZosstTd~!wZ||4y7UyLTO463Iko_vB1?01&XFt z{xKbz-mudQyn}mY>=9InfWdvJWDrNHG)x=8kIZ3C%vo0;A^})73^%ehq^kj~YyJF( zwVn_r=Lm_kNTWs#%j$y6exIWrYg^>Ii-{Xdpnk{IbfM+M(EzBfpefara%9Kjx7S$#Zf?t+(;?z3{WZLQ*n$E zhRBUD0M$S1cb$JTERJ=tlddN7h%+i#{gWpd7ga#?8sM47-lg;aXs^JpXO$0Kt~L~l zgDZ*BaR$zQFP@hir=-N$bmz<&Oh82lt{UV>#uHBXw~Mi)(x?ZRek*>E>pO$L z4{!c*5rj>Dnj0}J4x2|*V^*M+V!|Q%f)q1MPK6<0a78^0jc=OpwY)2QqzuTz0t2Jy z=u@I{7$ikSGfi3j8?rCfGW1*Xp9TgR=>t|92Oi2e1!u7w}?UG%XPR zAA$VBMm44knK*)LShNtK56wjZlvj+7q4yH2K+T!qPA>l0Pu?}aMV6tD&x^i5DBesE ze(Vo9lR9#AsWo3s)JIjdB|D0Yu^Eo^?6oXPTANAAt{nTgiNoT?L)D|=KjtY9VZYfk z^XcOa7*dIoV0k7Drl*Y;;Y&Uw7%?Y}r}c2ljy35sbA-IfC9dm4iYd&0omVABgz4F_ zlgpQ`o-Qh2Ec6yb%|&BykD*c2xsqv`?9Z>ckf}-n-4oz|M9P}Eo6p83+f~P@7jdKU zB4&`|gSNi{GCDxX$MbmZ&#>)^%bg2}OkkB$r)JAHW~ zr_Nz&tqd3wMpUL%v935;1Wo@FeA=NhW1ou}Vv{BYaJsW%jon8+amikFNE_I-EurmT z(LY=cNW0Lgj;F+BFB@eKS>{a{b}P_)lplI9H6;rfZ6*<*qw4(P|$)r zcVfmcsC6|ED!`w)yLeJcmMN7Jd0NP7-H-n1*WVEQ7P+u>Xhk{(7Zb!aSqCq!k)u>w zni7aK0?KIo>sDTJ_SE9yiX6H_L8g|NvP|1fFdvQd^Wd|G#niVbRY~buC}?QnVmz5R z%tmn@k`3d&iNuU{w5M(=$V0Hx#328R>Fgi)L_7s#@LK24Lf{Efo5I$kd+eKF$;l}sElD-KeA zKBWR_TKSn#ZL4mpParHj-=oAibLIX0L#6qYwZLzl)Qyy~4NKtS-Fn`U=Ji_n?{?fAupDo{t8bNm z?dgDsg-v?O;b|hXoE=M^wP`!XzyijQ3=}7#L$1)h;!A+RTMhX(sZruAyhtVp> z@-dtz_p;@qXNxS|M_i=@>DD3d&-xy+L`RQuwb_$jic+h1rcUr%kLIb=U|v(l(Nu}_ zzQCnH8(2H%UPH%J#1??>rsQiM+pzX3k>|Lfi zt@VaEKCyerfF;+%dS@GzO$B5mMYaU5sx(otfWWPIQFIg^?+!CjeF#VUdCW|~DPQSY zuD(V-DHlk*2D>xLhEzsj?O$`M)y3C&S|6Tg;+EfGIpdNn23d(LT~I?&j0C*w+hK|g1$2oF-{tSBOq2`jfdDjq!Z5BLb2yEgJ1I4s}% zST_`_`1_4HF?#3#GB7q53_Ss+SZ}L)#d2J4Yu!z zdm0+>M+IrQl7GyoF~BZsG3=Xu9)uM0mDOMogQq3dN;^$axS}EMhv^{F8-z29F~xh_ zvrXD;rnJKCJI&@mI&t!;^}3XxNyU6DT8iL_QHXwH3_T6|vHs)7rZjy0Zg!Um7j6(lDxN`n zoIZ_HPaBJ}2pTl%M?K!&PY;cP?FzrWq};V-cGxWSidXq-c&_*e#BN-QwqfIADltOS zwdt8+;C8Yqf^_Pm8*c5nR>)j%M^yD2zI3a&Aq_}fr8*%}xnq!_=@X%uP-T4;zt|Ld z3RLLae@s^|zuZ;MG;Xj93Gu;*inxh^-{7^bGy+Z1|At<2{nos|w z^Gl!znj17>VrvB+>Fgw`G3pC8Cl8`X6{`6bihQ{{58Nt(cLuV^af{|Thgk3h76>_9JxYXV5l3uRT zLY325?4;0i0v53_cMya>j1a6ZytLj94E3aTK>Z(Eo_RAE;CIFX#aDyayY{(a;h7!? z6Az=US6l+ShD8E?R9F$Oke`acHck=GolP63k$y~y--%iH<|o>VwaFi&RRsyxzCaigPB~W zsEvmlsM}YVde$EVqb&<_6SAK6k)LnU@gt9a(ebBm_|=TE$HR@@&OhrUpUv^{k|fA9 z7J%J(UK_{2YE}!YvnLBLVA=H^uwAxb&5D_udo=51D9Z-WiL6~bvq%fhu>9Ws@!N0X zA!1{3su+Z^3nn^;+5|s4?aN_6t0tn%Zp9mh`1p^{LP(R{*q{G7&dw)K0lE<0J_)jg-za6Ca4?{4<%D)FCs$EUEOJ$#4H16X2}9y<%UBp%G-}66;eu6P_oCNG6C#>HsPh zjAI(x>nb#E<;D5|Kl%mNU=A+U4IcHAIsEn#1Nsu>AymuxcgwJay^)va#!kULU}Z$f zG<4-ImSj}lnB9{X>#iYlW=m`vM zEyK*~uUXPzT26GDiQ($|4o$xp$|iuPKQETRl_f!^YQ|X6n|v~lmTWAp6A1Pd6KZt5 zitpd>)bXGwGR3)zggKR|O-~hyGM=h^?OiXiomc6DzmLOp$M}|LTt01BtLwcV7xNAL z(d;8hF~h5^XV9INiS$M4Qg-tNK~OH$w8W=orZCkek!l1$)=<)vBG|S0W9~p4^v=}Km<8Y`(SFsPK`WzB1!B!B5 z_?=V${>q1k^s@kGRFN!kB)))3JX$%E0J|?cOCHZC7KI?wB^J&)C$Z=T5_$|}kk7vhtTqBbreo0N{PWWM$yq%{RU*RgMZOBu4b;iHwA zxOTNI7_{~>&Qw@2ApNp;R*jJoygajfNFuvwhq9KiZCM~-aDdlw}LpZcJm)~>}Ql8Sx=QIC+ulGJ%GtxU#lSj<1( z1u!L=GZ9!{917msZwwyD@Ks}JnkygXuGg#5H6A8IHoJUYxwOI0NOse|Yg)fsDiJJ3 z>$+t^+BUN1GaQx3L{$#= zN0`nW{*+JVxUrRz16Vm(pNhN^;3|Y{Bys)jun^= zy}4NBPtL7T?^vXxDxW_&z`X-uMk68--@$8a;cgjpZl=7@HSjI#{RbqdwAH&drItyh zZLwK5XmlMsd_3DHtco1V$4G{iJ;Augt*HKuc7du}rD-)u{y8+8eGs^wPrYkV?bvjB zL2%b{Fl-M+5(p_0dL)FSXrOBho*d=aL=I68A%=RH-jLqQ_V%*Ax{k0nXs&%eP*#cN z0?D@OVz6d823YH`vJM-2qyo3C#FL}=r+ysxe|~7!d&j}?Kllg#faT?7e(@K7k$gV? zp_C#%D6-isk|gcR5(5+pg&VTTAK@ds9~M?tm|Iw4Z0ZPyhHfp(wHM`<$!qgPwqE=l zOvh(yXqrdwyNCS9)cbbpTaL#Yi)H@TXJ?q(5V>eA^YJ77^v89^dWIPXX>kU2nk^Pf z9WHOw*=Tf0=qiTeGMEhU*^>h|c7*q|P3`nFE5#ZMOUt~mevu`!OGtF7nIf_ByZk_Y zi(FUr5;>V8u?H!BPR451a6}-w4waqz7g-z<6Wjr6^l8zJ^A(o$FczB$_-R(5BQfgGE*r7)*p2O-DE}6lXlUSH7x`&mFROZ)2I!M4rVhm6s}O z`_v}#37v^-E$+?^)&qnfkzK@-}f229y4nS7dA$b&pRZ-I%ub1@FXK@ zgGs4Gzqg6(n$TT_+2ugFW81yW^Pp4wK(@NyFD`F1c;RXRO_ugOm+z-Bd|TLK)Uu;9 zTw4l^ItrH&XTHs;!Xo0=--3t#NuXw-9nAZ`UHHC_Z<;%StljRgS*WqTRij#IAX+A3 zxxsxK6*97qVw>Dkj*?I4*z7ls_@MB7pQhnZX`2+AW>1pL1AHvk!^Z<$d;uJ>MAa!% zZM@%a4PZE3q{3w|x@@d9kaMSqMh8Ini`6w26a_)oY4{=~TcG3!*ddKZQljFDIEqFh z86}d4;)HaRNSN+=6U%YQMs^6Sr%?aooZ`U0tY&X65Bd{arSZ9UBSQj12{p|G`%Z29CPAXI0u zu2!J(MxZpX-K{U}aw0by2J^j==0dSe%XA3K;CMdc*$AIGF>r$x=e8c^^>&*1WQbz} zF*G@_#l3GlbwhBv-zIpQHjySae1!4FWz24iqmd?0428)F4cL4yIJ6j~#xWuzESjMY zH1-FD>9~P2)pdHe!J-}}n)o;+bB^}bBFRi2(}&K0y@gR(p|v(kd;Th}_xof+d8GJJ z+>r+v9vNpe9YJkD-M$O6UO-FaNE~_Mj)In4I7hKtq-s=2=_zvIKqji(3RFZE%N?ve z9bMU|+A|1=pvofmj;D4?)%|gu`C{v~v~~d^L-)Za|L@exS4m`!peE1oR;kTm?GUCs z4v`uNWzt@S$#9#|Xan7zhm{aC$Dm>oX)WS4*5M9=V*t;HV75l^ln_)~MD+jQI+mINHyBoBbZHCd?}zdZCeee z#_+W`zHRTSF5Cun!Rs2}`?M{GTHB)DwRf_x5g?*UPc$8xB3 zYzj?-rs2@FT)bYTS`a{yL=w78-Ei@7kwgzog*yqgT)Ttsd1%N;Mjf|26J+J}L~v;F zI}em45iu0*WpMQyvbln;Blfbn8>Y`p)y5Ge+LlAt@@Sb3<(5g;c1eU3vQZ615^tQ> zCci)W&}y~ATD8kiYL8yOC_+3R96M5h`=7CuYwz$MUa#Eoc(=kG2gf5LBYz>1AlqoQ zTFlPQ?)-aUVS#tvd53g5&FJVTKl`&k%isU|f1i8ry_bg`dWe7XZ~hI-%gg-ZfBcU> z@R%RbD*oo<`tss(xlPH@8BgZ0%_{BEGFh(#%dhP4=-l`yt8Mn_VM1VwJTWrDdErNC z8wJM260uk}XbdaQ1&5^2((^3)eav(dw4L2WX)qPycs|aOUFZI(3}=QDJB#+Mw08GW z7e0Mr;J``gKprN6P4GlE!o=A@s>hRT6}ITl^)oy?w!_i&YOAbO+RQIqWurTTCutDQ zAcivx=lhxHi{5hV4}#m(yA2lgG-2ic#LLfpgULrf&1QUzS4wS6b%Si}9O?RH;?@R( zLYYI>t7wa_LnRLbXJGU}5)b`@Tbm=?0)x>(o|=A&LZ?7n$xv%VIXAySy}P?{2&)p~ zy`U`-+RwLq{n|WVKflUIF3nUfwlDjciwF9-!$}=U5&?_GbtT@S8snlchO-_)Slz9h z>6*g$&^VLX6C`yB8tc2INxRGWci-Zh?=2BB3OxUZGlZV}6#2V9cc4_>^)MZmH|EQ{ z^k=`vtK+Vy;flA(Ri*!9@9Kc6qQb~Y=mu8rsW42FFYA%#;z2~G}Ow>Ahu z@Lh@x1k|2(F<8WBpM_Ql6fK~hocmoEexDL$4vt>l*mtD7Jn#wc0z#avotB{F$qGhK+AMgJ;=zo(yUtplQhOFP&n!9<`1| ztz++#SyUx~R9GbuR?y@i5Ke>?+NMK9lfN(X4BPdnbpqN%wPVq-+#Pp9K?vsmuqqQ$ zC1gq536?F_BcaQj9Y_%m-TwGZtI0(}WW#JRCaa7nk)Wx#Qwa`9MoeT8QhCJW0AeJv zFSr##Aw*3>=mo=~u7jeyZRh?j;X>=fZCt$L;P}^m?brDE zpZ|G&`?r6a@$vBw^<)mhn{U3!g+A_py9MnMrQ#+F z3ndm??_ewOAoCGU)0ax@vk|>#JjGUHkp8$vIvIji0joSuW#t;>TA7xy1wg+bV?_r^ z4NfySc8E+O%3`s>SH88xQ+E$BoC;HETP*ab3;VQoqiUe|kO}WB0}m$Jku0a&4`MKb&JY zb?lBlll9g*g-!uoNYm-YSSq*aTKl<>6MYfJGm#rI(w5`#W-ZE}bq-TpQ%Tor07&61 z^3V^H>HE73$Ss7G*J1sgAk)y;2##ytq+r&m`3_8e9FBhWj?UZld@gToF;l1$7ex|U zuYpm7k=~|dAg|SX@zpJ~iqF}a##n!fzGQ-IRHLhiTxr6Un=}Ki z*Bd;0sfg)XjK#;fyZ4uD1z(zoxiCGpObqWPd)M z4I>IZ?_Fs!mI*VEc%MK{5CYz0G#98@bV^XX3XyQodB1IQEQmqrI5{3{&^|z*{C@MA z4|FV-OhjcQeft4~?>Kjq&Gn5gzO#SLbUO(ur5xeJVWdt9JO}K0VCrCXz_-Bc1UzL$ z?>V0(cdB&_!=`CC_`Z+rdbIXz@I@gAfRkaBh$bPh|5>w*7M)5NCEXWfT<-v`=W}7L z&RVU5DoaSBfZ3x>2!enpfUbyyRT)hdktC61C{SYvt3l%7wgPiOK-4t^J%pfXR6U9L znt`D%AfyypqmxMYJxFpOhv?K1x*G_-xjV0jT}WhhEYy+iY!k5ke9sr#tkpVP*=VrX z+fX^K$6zwV@xeHXB;0ad`yjY}?Abz%y3r;PQYd$u6k7@*?Z)TSa-h@@DAh$erVi+o z6Ci9AzwdL}i`&vUPNh=&ZbrM^#&I0N;qVO|sFlixo7(=%#CGPmR4RQW<#q?KZJTd= z;~RYLbD#T5SF6}AFU}X+tY4RT9ZCh6$ZZSLy^Ci$q6Qh)jWUhO7IeyBHi^hS6H%A( zm`gmF-6;?5<d!eXI?wc;60zl z4Ckrsp)Q0}k?~A~$!wHF_~84wTyFE;Y8}t_F>LRBd6;{#TJ11bXyJN3hT|PPb|yr^ zF7&dHD?wHq_=77Zm#wZtJrtcguWx=3TaG0%0-7LxUe9sU_c+ z3t8$>7rr-J;?K@+P^mXKKGMf$PYrVKczS2EasxUQSa}`R&%x^JytDNVGolw{^d=sI z-0@)JqrQLUW4%%5nTtU~-dKE`CnxXYp5c)L$F6rRzIlF=mu5?>RJyFyI@FvQRDBD4 zcsOV9gJWL6pNsUw?)CUhg>aYZ%Y5^EnM@=`U)^0gLm!w8E0FLZ^xoIK(kul z+U4^o^?A<5>U=71kkpk(xu$Ca9p2av&;F_8cD?=DH;6t zM_c^BaBz*AO^eIzIP-3fO)rHj2c7Euv4AddBvhsL>hDr5ZZMq7GV}xgT@VoVxT!cHL&Q1;Sv7{Ep|fYKNQ#d0p5S+-@r|92EHaJ>!W+t4-Y!NQ9L;&cM2!%k0by(}xb-sJh@e z!Sx$8FdN|S{~oT|G2UD^Y1x4cSUw#?R|1MeGOQ90DM;6Sw%bi(>$NVmjRitZm9Qc) zHjpJ8Pxms^H{T#^(Rt1FNmVRU{WI-Zt?t^|A}AvTfg!bt8@HozxHe2 z_dp-vBm708*0Go?2Ia-Qnb&kgVIq5QSN5g#0$+V^jsApAE~f36I7s0*gM(Q{V?G1! zCQ4%!+7%krI#lNX@IoohU76u~?LMLdXUO$U?EKzjL}g-Zit)_ppcB4b4koth0-n)i z?b6Gpq!ngnjSsS6>S?U%@sBpO(cJqw%sD6cX)Jq`lgBxdpX_!hUFrPFdp;C zL{tv-$C%DVZ#o{~G#vR%aJ=%HBukeVRn(xtquqc`GdR>pknM}*Z`wR$yK_YJbq*(! zM8c~a89u#lY}a*pX|~KWm$$gQ(cG7b9Lt2U3sZRANm826PmBxvK)Mvj&H)$>xZR-a zo*ECj{`Yiruea9m{jbop1HSWce7E_y*fg0hwpgz0cm3M6C?00*P>g4v>+s+cKSg@t z5Nut5)i-fA-lNm3Q7^tu^W67vU4fW9Mj~qjV5m}trri!Hqqs+C55%>FnBhoZB((% z$!LQI``R2%6oENd&Y-v&vL~^y(Z`IE0_`4z!P5*-W>PMar-Uka(4B>=v%zP%b02dc z2sqo7l><25+t1Bjj`uc(k|8Eyd@zmT>l=;2>A>c=Q|YNaEJ3##aB}ObJ&H!YCy_VG z?A#0s9i72}ehkxLX`_nW=^|PtifNFNTn2TKoaUo6EW9fQ^_~^5ZWxUAoL{SVaLT6R zvR3U-nR%V67b2NVa&&BnSnNZh8jA9+5{>7AS;uPEs5M(u8!nrzGPNeC*cgt460;fZ z@9#iKW z|440L4~MRZ9Ge>9E%67rdhI-q_US}YHu$Z8BGp(AelRuw{U<<;^*Fc-L7=?;PLIa3 z6(nsQ{-*&?SJrOm;jkQ!a@(ZVu?cGueQ^y@fR$>8p=6klDsuls=GJrSZQ}jP~Sp6Bs9 zFFeC*^H(`DImja?ruGE|?}xVOaOt%_`Te(M zFdc`G>T%B$jQ30QB|H*QpN<4q47dUiQjnAk;dU9VQKD9{d3U`?w78Duuj8(shw-Bv zzxUIOP8`0GHxQsZvC9T3BL?j8kH|^BVVvTWEeB>~U~MLEK%eEoXOe zFE&jUOD$TaL#k&hc5EQV6UT0@)>3I(%okfMl{?IAHL12O5+N1Cb{R^B`0S~HeUuFV z!*Y0Ismhy+6_(1~;6*uylofe%!)DZ5=Y+JzWLP2BX)?Y1F05U~&P-tpoW$xsaYM;? zEH*~1{XAREI#by=pFTdyV06FY!)mp2Ajf++72;Svh9bhb%MFH7A^PKYU}H6OH{;1^ z#yjPptbP0^f~-<~ttU+HfVt9ZNSp{3nmzi#Be4-`X6=TCyxFZL-#EX?8%q_M-Q7%N zBCK%#M2gR!$}^sg@@MBacz317nUN$va4H`J2iNg~DP9Q9uF+1xNgqmy_DY=jOmm&kLW@d$qB3K{1; zhMXDVVuz!`5)ZOLwEZ%n*iky-X$*gzN_C#9bC~bUpQ3A}P}DTp5s^u)!?AFU31N$b zQU#+5S1tr)?bJBmo^A8)T9a79L5kU2*=+9UcnboI_a}H@e3HAzQmEb@>A}_}<+XYK z^VMaVeuG$Sn!c&eGBG;RTUe)hUm6D*t36%om7rm#a0!3w694<$Ixp5B85?3~;PB4< z$V4TEQZoGs8A+_NX~5S?gmfl)_OJl!!{%b-B2r;uAba zPn{iRNJ@ zTyEd%<#L%^F84Pop!|qd@xgGXw2G~U!OOE{zIAbf_tsv-mDY*NEz?mZYr|&Er_u!9wQ0?sM=6##EU%*o4)K$cYKI|4&@!_d7uCF5<*aW0%=Fgn=# zY|Ndes=e9IzL>U;;|U1Ys&$J z#o3M2JW1tRC&4>!e}&6#6fb%YV^a^2>TN1yQD9^z`+2bI*K1do`Q2~6%;_`tpz8{& zduS73RU#WxIh2cWO50?p^&ZmJMY@d=Ez_l5-XhVwg5}Aqh(o+G{@)RqxSx}Qai((7 zT|S~?2IpQ~3|tC*k3YEB;(uLeVJIzB!6BcFp(Xl>>JpRL2uB9uMD?5GYaENh!VCP~ z(yKVK&!iOQvB@XN4&8n8&)4%X8YK$FBJZs&vRb{&lviVm44K>~7@e9V8~4#}gDKE% zZK7QID%Efo1iGc*6 za0*|D;Q7ivpK;&!X_*f7W(%`fLADz>%_7B?g(A4vf=)7#U@)l@3uy?UHZ0ep z*0xx$cbO@#Vt92zsuburU$0~Xn6^OMfM!>~u)ubE4Z)T{yi+DAv`__)v5-kFEP@gV z0%JV^k-lJKc|f3iD_TX{a;WyyCcGY{t7EzNzE4Pz@QoT`pFHbT_t8TO};p z!}mdvLC|!hY(M%yKSia+AHUf|B}G2d;lF?M5$^8aPhGlQ+^l~j9qDC1uj?Oy_gO>D z)~>8st8n9hi{GPGuQ4x1!axhRsrnUN&6>tVSb>4?VPI(dY9$J6`Hc`sMWvpjMNB&yob6l!s=w2m!JCv=_fu%YU(%` zb*L`UEzD6aZctjef@xnu0Q$8)NR84rdW7+OA7NGIp{dLb6PoM!tk=5C6>rqq-AkKT zt9AFix6lYS4(C>C)b|9^iLk<5BS{{b%FrL*4c_lPd5n8c?rFpuJR1afg-Zd)ck9A_ zqlkBYFOakvx`)O_4Rh@p#laI)CnAAOc6WdFbE3!n{C+yl55j*c$vit7;j~fZUimt^ z`H&9kM4&j(+6w+`x=_9VfG6oZy=CxLS->$*pi6^0Zyn2qdGt`0&m8Y38rnZ68n(+D zixqzTdrz~~U7|m(@yX-;H_zyWH84%O^)1@f0-dhGMy<+aOUI-|zVb2|r^wO6r$ML&2!t9LB^+M1sp_b=7FaUz`Cx3?vn8Z4B2JFH;~QR4L|34KGn8Gsb$hI z93aGoUEO3gk&}7cou4?ciy55dID39QFR0UX|N#_ zLCc~?bHsHW!4Sj;=FdX)nj5-V@G^BK|x)L2=y|c;MyI*6Y-XR-_a5(Y=<+8?nsY9tX zf~k0fvM%FFjU!r#X{}B+ETPLH(4pjbMDrJEy9QQr6xVZDYAoIS%XuBntuFEIT8W65 zXD~Xn^ZM=dkGwCm=zht(ZCSJCCUh$Nm-QHzTLWm}C~oEubtJ+H70~I zZBOBESYXV@= zcCG#8jUKkT>y(-fF)e{F)fvs1d}@05eYwutbLzi;VfL0kcc-}R;P}^n{nvrOjqcz6 z+kZx1WcT-s>z+I*QSo6UV$!Ldw;(?bdV?1D($7$ucZ zxc^j|Gto-$@H+-Z*JZJ|!9u%ARZ2rRLoPH-C@M3SiE#hO82|e_ZC){}cFjsKyn-_6o9JXQcKfea7pgyK!XcG{o+M#8C!D525D{F)(^4 zm~a{r3)Oy#MiNGc0yN7@*whKTvD;Af6V$ z`QnQXS7C`?!!oY6|_(X@rSm)V}@yAZc&nt1;C6L6qhiG}n4O z*+Ja+FyARgcy^}F<;^CZ2cRQ`l6b8_94E$zT;r*U40olHLF%&I1j`K?iV`Cb$=ncJ zO(&*l*sv{gHq^^L&Wvjxp z?KAE6ky|zKtQmakGM+2p%W*s@hUY2xrh#woZqi~_6R{j&v)sf^r4j5HrelEB3QpfC zP%}m9o`xrfgG{cZ5Y;47;Rq|DK*jb5g$9xOMDW|Vohn_!pi^&SyB@wEp~^92Elwn! zA{o(xEUz(0!Y<$%Z6v)9J%2n1KFvCQw}#oS(do1>%5{9-M-f%RN*pDUB9)CGi2{c0 zkqAo+#$xzBl-nldmPN;Mup9|dfK*5#rpxrlb&_F~kRs8vnpn(GZ+l3g6rt=Pu+5;f zZ+F0I1{+_a0b&86yMY)>A;vQZeG`;0*z9W~=M$KbX-c+$EvuBBz*Iugb^2mDF+FgP z8`?9co?EW+Vj;}B*(EQBh`Ktdc$`FNgvm^ZakWmUz0z|~>jr8d#j7Ceh(ZqevVvC@ znbp$NHd}apE4a>x%AuUj$)Ut9zua|#Aiuf@^%dgnB64++sNDh2XL0Lo7Q;6_qX%KJ zQsk?zFVSp=2x~L^@bSlacxv)}`$s+y)Clw+4-Tut(i`94Yt0asjVwvq;^9tz2H~y_HSa~g|0Hnr)#y+!oQ;ExMo&LE(iwo-wwi*Vtj!m&?f|EmV z<7kS+!}%$G2V}9$mehX<&x?ELN#>dC`t>5~s5B22!vhWe-_`}6Ut;?(P70#_x_hki>VTHR! zlRPw;A=k@9o*qf;1gQ6nrvsi=>Zq4&U9fzmjn#<_Pq&Ar=W*1C7Z zmGXR#*=~mKl?AT3I_dI4@E@_mgfd4NOTeUgm3ZYmVtF2`Tf~}s7UrJC*J50%x7b*# z^KYF3p}~*g^wPWn(4W*8ojOTAc`uUP!L6@QtE~i+TWtx}&++Da&-1d^PbxA+X7ckv z*E_f7X}PY;uRSxvzxmEJY)?QDe9jC-8O$abO-HzIBF%kcDfF8(^xZZ@5&Dk?2e5GE zZPwoV4w2$zj(Y|^0$H!h6AS+@8pa>d96UxTbPsQo5>VRzt85oa4Jg!MdAZEtjdL8L zLwII}it--AXC4bC_{e@5!(6e&tMg?ptk&t+E|=Hqn1+U~sW^^|(-auZXK$%&umj(x z={=8BYY~xLV&QB2of8TE)`LI3@5ip!oNbvlrDo7cpE6P;#1LV@;xjFQ2Za=*#&P4r ztTjF6N-Z{923a4nk^K^JUh6Ub!*~A`Epv@NCB)(U{Xu})sRY46X@(^~&&%B*-st2h zx?$R`f`^DI3%n~H4-b>;&+nIr8~p(a znoM);BH^JE#3#@0lz5jmws`r%EEg*?v>gFMj1rL&Xz?ufPWJPKGk0_T>Qyc+ZE}2U zfY01_az8)VwV|;Y97;H#uO!EUMOqLThz!sl>8H@zq)$rFFQsU1HCf%LvbI&lY;_PV zle}pX_HA;iPg?d-YzyDAI8`2{(u$IfrirzNXq6k#Z3bD;z4RGL=}C$udXx!)m>T17 z>M+!NrZY!~=t)e+rQYgNt=F-P4!9=x7MgF76e=WD4OL4*C`mk&plv#YRT*D^<&I9n ziy;dg6sdvcHwZ~S8MT8hn+Qe){CGfD(BgDsR5(IB7!eZcr0OEgtvO2NGRv#)GPt&a=p`w2i*({CCdWoNIuPe@e~gjqm3t&P_`apaz;h8U zeU;(W??QYG@W7WKd~4U;M%QMeZt%)Ahg4POQMW+RmY6F4F^^0<0nQY7BOu-xkN0*^ zYMIOz4Zc$vW!3k|Xci6{>13P-r!tJB_Nq-}A%7~MXKXiv_Nrr6;S%3kem3AMCPxAl zpKw4a?U=#5yIO*B6PgCN9;h?55HJ~KrUI64sHfyoTV`xM0bYOtU;*Z0W>U0W^i?v_P0dmqu^<2$dvpVsc% zOI3dFwRygEbqU`Sh(}ybjS3td6v-xh5@CN|%q2KBp~@oB$|7=Yi+Z_B!`PrITXaN~ zQv3v={ArSX!(?OHf&450&o-%5O1w97o`K4H_=1b=^)Vhf&57yz85^HuV0aQCy#HC9 zFShvlyBoZ*RN=}-gG#H5gpY^7CkNX6^ZQ+L1KZy9L$_rR@qXCmc)vDZVXfMwWjbW5 zZ}UGGUt&n8;0e&tlPHnx2~MCD%Tel^W@YFuN?wveU7*$$dYMS5RJKso7Rfm^4(nAO z>lYZ$pnO4O@952{|_~%O;V2VPwx9?+%@$X4BKV7(qXsUlpnQTyuQ+5z7_BcZC^x@L1C-Mo#hX?rjl@?c5iyR&u;B)sL!sv97TdPDntAvd$ zBC1GVOeGyrQ9_AcL*jUl&AkrQmc`f4uk*dxGNoFbs9PiA)``*OSjy+YA(vV7$73zM7nxpN|2LPmP z-P?#tX*Sl=p=9zBMw#BUs17fFf+5w{U!RQJp+ zhT~Ip6zXCMTiNY@2q_}Tuu3wdAiJGl{B8|g3m@p(F4c}jxweGkfvu%clX)yTj4uS& zC<+kM6=J%KE(^h&Xf}gC?GCf$CYzp)EoYHZhY_L)!tn_G*#yIbX$Jd~=+Ov*9s*5c z%Yuc5!+O(Vu2|zc8-GS3q##QI_l~6*&0H6RxHfbu2(2Qa#yZh%op85?(O6^E=&~is zG)09u#v`C^-9*CJ$=NUc6YZT=kZ`V(XohtrRIp1bdVl!$hl-;3HZocoV~K6N+? zcm2Hsv#8r+Us`XlSn5z}nOrRv=-YapF=-Xam-uwv;qGi0La87-n>!vjBqm31D%W>A zeLMTEyVr+u7GI=oArq9lZ^Nb_xbe2Ju3DJwTrKjwBtmj2A>@}!ANqlH>Zw4eE0*cCAZS? z-Yfa}VRMe}I5_^V2_FT=cLvvW`4?Zm%r{?qkEW-h$TEkA`WQ+@7|({ecPz!dx5z|3 ze`SmR?JG}{=`2vy@|-<=mcd-^<~%Lmhjxie*JgNaZi{cvb-7maagoSM9UdE1dGelP z+;!p@;m`pSgl%A!7b&h>qj2p_uFcI-aWot`OmgZzP8>eMNJ00#V)1lZjDYYyd*JG>j9;wnR47ea6^08Qs2Qt}!0~pRgW{P@jif?U1 zcyX!A${yN8)3jNyb;0u(2s!-X*)~rM>>+-N@{V_XATodZlbc~Vyt!26^@R$T)*G}; z2gCM)L~>jYc*`p`z9IO{2tQgI|%JEp6_GY9;V|{*9X~5o@Kf3G1T-R zW0??|Ugs+p{*>jbvphBs;i-58-LyDY6nL$fX2DA0N*Wy@LPv}ek4Blurx{9wXj?9? z%oedabPZRslF)7P*Ya~K4NwI@hStQz7L$&K@ibyu9k%?-A(!)D)UI*Ej zJC4UYt2JJoD|3FmPNVD4H4OyEq)+NFrB-+_yv|{zz<_EZh!U?a*LbTMLCKC1I`IVv zrFWmPluE+xX{gp$gTQecY7|mqT-e&;xvK>hjDD8Q)XruFe5R8skB`TAY(PS-E(QT_ ztr!HkjVj*CyZA;2PwT@Uc@$5I@7K45;NMm=2ojBYpoa@sra_@vr|zhDYAncXDIsE- zOfswx4=IS>uQ|bWW1F@`$8>2l8+7X>>Yk1#htN_(DA6>rXq03`zj18O3C`W9Lu-rW zLY=xJf)YaRJ47;(*r6_5kB;TgXw>O8%1Blnqh6ruEhFJ!pkaqnh>;LPqA1BUS~`s% ziQsDr-k!r(B&wx%`RaU?f}0^DDtvO{aUMSVu^TkRtL@#4+}>n_=Q*6;*uwRpFRJoG zX9pQf-Xhqtjewp|S)_UH-}CmyIc60FP4IAI$B1VR5!DqmS)l966i85VqgYaS#}YZL zO7z8aJbMvq<{7fSN=R0?FMpPi*a$@XaT24f(a(I{->2ifP02c>RdLS!0rk>4gMAs| zkNltS*adT+HuawOZfl6o6q;OKZ|-p0w<#MTMdHGG0jayr-LV#bd(0(cZw6ZVRwua5 zP%5Zy<&HsS`iAHGX2J2z^vk!ed#W#r<#-gDAI!1Tt1fc+JO6?61s7M(P|Vy*!P04T z9ef}jlIe@89L-0V=nFFt*LEtXo9#{hbnfdo&2`2-fltN{krMaxQryOzx^o^q9q;Wq z^;SCG+bEaIWV6}7*oM4qSGwE5zxPmuk$d7wLF1VN4Xa z%Q2_OKRGo`b|?+;^bIAJZ4T%gixr-^yhUGom7LTdW7RoY+~Q;Tqa^#M5z}$l(~z~l zX)Fv(U`R_im`te^B;V#9y}-lRaOpx2WTwU;If5sud-zIWJpU}7)FLfi#8Kl+y7P=_ zQHBH`maf2N3{vA%l|0|u6gan1quko%A4fHb#}4-+h$4pVkqWE)#B~jQ+dQp>Vw;tE zhlmFgQ4nGvh#ua1Ym9ViD5}Jf+$p9sf`z8pgyy?+#W@zjCt1)A<7>lYMTu-QSV+w5 zU3}$gh!tatX-Oh8aTmBXyjF?DrA4m2x5U-%TWks$T4Ekm$uO8r^6;@yK6|2{7iY^m zvSLr19N4wJtu6)}+v;L)h;q-(>(;inS2h~FGFRg5wFMcZ`oeMm+Wj^txJFp=SS zKF)9|#Aah+Uo)V2^b;(VJ8aFoO?2rQ()II%oDwN>gMsoE4>X=dsg8pE5FGg&1MwtF z-YP=kDZZ+Gg7aG&7*+$*ZP2n^WXobyU1dCCqYEJhtT>aA35JhN^7+v;TP2tN+!UG7 zsenhheXaYhTiX5p?78mM)+ydz8)UhmkuR5M8iB>E>3Af=DihfViX`sQ7!D%}fwIW2 zeDh6K>veK*jgKGhCmro4KRm`**d^-~5bA5xjT-gxRVZH#ZfvA4SXAP}{O8wR<(-99 z9AO$?8KiAGcpk(;GAD*J+&h-y)Nq2)kcrw{2~;_%3$XeoE&Bq*1v+koYQrFvI*Fny z%$YE^?L_VSh^j=SRv}W|B2+8mb}ZIcx)e(SA=_unkC0Y}NoipwV=~85DzT~rRWJw+ z0Nij8B$g|%)d)6N%`I@>4Cp`Gu4r$ zdVsOb2ZkVE$x&*ON|hwO+eGy0ct(Mm7s5k8b-N_2O-2ot5WOj2kQPdEsPULYh2h=-RY1FM;UnVA7KwY!1B@pbE_LP+a_rsO)m>LkY-|JlyrUq zWR>;SI$zNvthY89b$uf7ahe^IVriaA`wFh-BWf9vp&>%KDMkl#jHbgVk_coW`qSh; zpglZrgEn=sX);%6a$&u}X5FCD4zk=aU1p*$%&{J2Bbe7l*lL`lKdzBUhIZ$c!o@(v zrBmLaKoLp?fpYdJWTzoH#@yR4va~YK+VVW(Q%7z?zkK_;1GR|{f_m5HxdoYDy?h^a z!zLA0IgCmssxXm_a3~k$$Uyu+j{ty#mY`#In61q+ot!3>JA21->TB~QUSFu9tJ1#e z&#n9kwy|7kANcwQ#cgGd_u4n#@|Ot$&pr3t_kB`-Rq#>f_~xj0ExvJngBNGYtnZ;s zv<#E2Y6IQvFdb?0Pfxo%IMiG8BxR?>GG`@ub+OKc)jHiCcc|PlS>7x$;BRpzTI27Y z&=^nePR5p+;6gXWtCbkn>bnolHfA5ymhp%jx3e4bobz^SgXTx_sVZc%Po7($4Ony04a85$bn z{>codh7yRPcwj?cy=(8tl6Cf!VH2TX!kNfM2&oe1UjH)ZUVoaq?*Alr-T$NDI=E}^ zur_m!xz$ZJyTY#8gd{UE(8t8|Q3ej(i=b${wKm6Wd7bIZAPG6gx6aM7x^R_fXN8Pg zKyoc2qQ!XB;czZWHk}S8rrhyhA$QG#7m;?U7bq|6cVpUPd%NB#a&2>g#r6=_YH8N0 zUD~FD$0A<5iFveGMFt~-=}Rlyt7{A?RpYZ0L4xcQjas* zmuEbuaC}H(FeMY!uL~F*7pYN3JoiVeTz!UB4-{V}ntzCJ@-U)lBbqjXX(O6e@ORh4 z^Pyu3bPXTT>=J6MVRS@HK_Mhqg!_j%d+Zi+YI|YSVePHp-b!*{av|@jt|*}(NDd|U zzrKxbjq>7q=x&opG#*GK-k~k<&EWYy^*t&Rp6}DOT)MW4BnU|D0-@SfqI3`?iDV*4 zHY^3tjuH+6dqG5ur4dpCi0M2+Bo;WLISqv6?;v_Dgm@P5?jJ|YP2p)e>us0$a-iew zxE_^`MY(06NI~@=uFDAZWwZ-_K+LV7#&aC`>^~wuFtnd9x)+h2b7yjlb*IHwF8q6{ ztqoGqJU?{&r}3TCZE5X(->5CK`s{BrH*=NP=m|QNQZYq!Mq+)}s{e1^T}+x7)E{WR~^BN(gaa9p2GWCZo-ClNE#J*hly zm|ON@rPARyUwoZ~+9rbuozI@i(-*rr$Jus#HtP;cC7YG9!`ll@X181rd{o)x{%M^b zJd z+&z}MsXqY(NvC4dufO8_1E> zjokoqC^y^GtMSvz73B|E{y^l|PwI=SNl_vVGmf#&XTj(blY3pk+b zo6IjQQz;jMU~J3_Gd`tCm=b>#>NWu!U~Dp2u*#ESLe%IS}halZjrV(NZXsF z!xCfZFyq+>dMMg!;usIICB3rhw!F<;vAr+DtjZ$enJ^RC2$|^q32Sc|t!{ezb$&e; zn(Op+=9nR3i(RFJ< z$=vr@DP5rGS~SyR7^i>yhGw=Mn5{s%sa*=ngTO+y&L6EhRO}cbKTSeAjjp5_i0d34 zi1NThhUr}FzzO>DdV^nm<|+&24t)`ghYw{*h1FYfyeZAV)jxyPH>fVW!`EAfaS#y! zG1fUMv+2^p4(ZJzK{?!d{q}<>msy@u>KC+^|vtvA3>BUPJE2Y=mT_P{TSi& zKJyu=+oV${Q{HN^QG<>Ji)DeU-9F;90f94lg$GX_V`OlM$)Oy%m`2wQT>UO@G*~Eh zcCyOFroolU71U4-MHKkLnL+LvJ-CO%^8>;DLZwEvu!h$vP^wT_C-2iLh6CU#01`p%zVs!zf9LtOT#shgq1ZBUT#rA zZpx1x*?$o|zGx6AZ|=X3;WTemYrI-)5=$K;5%_GM~ZvK3CDmPeaH|jOMcX5^#Gm4xVMxTBZIg;7c@z!00+VV}W+ZJVPK?rCI ziQyYh@Fs9QkC$dj{Py?WW~*HzsSGfZ$Pv|K(h-$>Qs=~Af~mgfEd$Tnf!8WiT)j$p z@dEAA3ZB`fR#>Ijc4-o#O9(BQqpyF6k-ij@<5T2@ClR9i=jeuEvrugF+?4{)Exe8% zDPXxCj~(i}fg|qwP;Uzq>H=$Jkw!3-QtPkx2Mvv(pYgbqK%Fll4qu}^20v~0L1MHxaCZY=TT*yteT(IqgAt!V>`lgk5SUktq{8&?;b&cs z`SKcHd+}8cPdq|W+wIZ~_k{Z=`g%IQd-Q|-%?lJ-Hh;X9;CD(#aS(|~Ht}SZ$&tZ> zwRY`pz@;nC27&U*>(m!t#P?jfipK2m&rqIx7+Z}TaF%;uwP{pKyfk}>SBq)z!swF8 z-I=5O`2C;Z*g!y=kgqFwo6dGAx6M1tRbHGap-3XO>+$y<9OJVm2j17k%lCZ>O_PN` z{r}Rr{B8RE3IkGuje#eShwloUz_J5KnVz%V-XO}g11{}5|B=#L{|ByT;R+I^p)**i zAjtDXnNB3bmYie7PO(~%skTJg21t%YmKp=qi@aAKq$`BUiZy<$Z-LKDXA#3m%K8{{ z{vhX?DK-sxA0IKF2)NeYn=Ml7IOO9h|LuK)3fA`%jVYyFGWPw%wt;bpf%yMKTm+FfooU1q;04%hdcRH7|rM zYC9ZIT@guz12;BV6e*NeXf;bjW7#_kjBka#99^@qKhTl2Ae*cwgU{~+1jmA^(iBaa zqJ&6gz!{ zRr;A}>y&y)m}AuS#U&HD0~8PD4tPQA~dPh|ciQdwSJ?F>Fy|?W0X7vcRdK z1fM=RzylKpZy4TQU*sDbW#0StIa-E}xh=UOMakx~+&iA)fdPoNS9eP+wPmWaZ*cM5 zx4C8{Se1rpldRb0zda=Jxu-sV@L);^`i|hF z53!bdkn)zpxcdsS?-H>bju%!@v}^dOQQXWlZgK=aw42pznGP$J4$IvRj^L7x453$E zLl4c7l;Zr*$q7Dta(|$|r_noQtja7>VuZmHKZ@kp z*p*dQYA%HhnT-}0Rvlf8k<*fdvuW~~Fh>T$#O*N#pZR^Hc8ig)!KvX9ij6iK3k6o& zt8Cf{d{1LYiE%ibU?i1fSPhY`dI(!4Cn^n^wHDDW4}Dpt3OJretz%PenN->qZOg@R zePj`0s!T$c$;HDY!>3s2cX9pprrMR|mmGs0BWF*S9Dz#>-NBe03 zEo4z384Z(6BnZV)JApDlE<5t!1;yLg%hB~*Fng*EW;1ZxYi{9I7T9R4fF$6@QZRfH zKas`PRM6Eue`@%;3YyycQ=@EE`IC#Uv0jF#6Xwy8v$%GcO27tkoVrvTwIR**o zMJ{B2jArsaQt1hX2I4_QsTUAuqc;YAm)7gN@~uB$(+ZItIn3uDI(5?k*^_kEq!H#x zv*9*aY@es&l}XALzUMJ*U*nTv0kM$)X$+V+FlgMSgS|7q4(~mU?YQ{!Db%xP$c-F< z*x*iefk#Jddx0h_?q(F8slPT-EJ)jlLrR z9qG!~VcACvCBb!r?@{>1ikRsHYBI%^xw}pw5Dgosii<9XNk?mZ@{G(UkKWjreJ6N- zj`sk`@F_TT1ncWx!dX4X*z^ffcl~gnJW{-Z-!9QDEz(-OM#KFMhMXcE&LhMQ5$T`e zk*RUMaC(qpE7(Z&#Wa@79j4|Up36Y9TZ ztGGsg2!>Nr_>Fa%g(Zqji*+|aLm#3Q9s()EKtf|O8{OHgg#0eQ{C#~w`*Fv?@$dis z@AK0?{nLEvQ=j7Lr=R9ipZXLtGc#;%Zt^2P@*^MOseOdMXgH3;|M=ze{PEk%fC#vx z<2Lb-KsMoXY*66Ds7y#Lvgyw9U#>Hxu^f2mN}H$Old!BP$?7V{26Buh6P)QetBvfP z)KmR1d=JH~bvBo-Qd_-Dp(|1lGH7;_h}7hu$4D4k#Nn`F`r!8%+7DxV}JC zA0*x`1=NGWRS0Kr5~FNt6U#mShOiJP5>@Fs-5c)PtzbGPZO3D^YJeBQCjsF& zf@%>H4U)8oOC|z!Xw{*;8dPWWL~sZnV)p%Xc%2su zYYIP;fg(%L`u}#L(DI&UyBSKwLQFV=QSYgo+ zc=Hkz>H@7^SK&&zO{>}_A(ki?C5(JO`P`mOV60c|@%`Yt)+#`&fbSU8*4{$&ELwz# zdToaNYmA9W;^rdh_#m0V!$|1_=(~aOUiqra^UFkPD@=zJl(j{ybC==J@t(Y19|*$1 z7R92%=-3#|W*x^e$?GmB#`1`w8D!`;-U|*b2B`_m*f7gRnEBE!9jx5w(iVoeE7QQ} zcId8O0b>~?m6|@nyq9Cq2(zc4xbOMitmXL1x7K;;084wg_4A!Sav$?jgi33Ugevez zE&`s}vsGW-$4w?VvfI$9=rD3WXG=4jZEXej=*Um(^iw#l$4a%!LaD`O(m9>xo2k-9Q-r7^zR(0dYjHu%AYWw;j*PvxQq z^2_fT9>3$DcpHP!K?b9Pc%IKnt;>Qj#kwo+A^BeM5Vy6Qzpw5GX2BosVRs>@I`@h%T@mP?X?ed&Nssy z2gkqs%fHO8{_3yt#V>x5SS-fB`d9yoiHQmR(Lee}*g+F*>g>x%4 zRw^9=>j@7K&^4RC^O!_BCK5Oe*jRhiojeb!ErDV~pxzc(Dm&PgiX=LK&FN8r|J&my z_GDfIT+bPTDV(7%pw<3>!^S54eKC$devJHB-wo%xE%P#8+@5d}5WOFNJV~nk$Beqm z^o0cab7Lgxm!WA|vSFF5>Jk^)NM;=zlP0qmmdkp}W~OLR_TmU? zlSD!!uE&Wb()2|{Qeu~gQ|md2bpu{)w+4-MP(pMasM#_Fv5$t7?D1R!9q>d*Arn=} zL;?voske9qO=A|zl@{-8yo=)tq#_!lnaF{XUtK~vvN&^8@btATy`{Bj%1x`HQfBFYA#aGY!+ z+LO#vkwuYuTj0`~OSQGDr7Z}MjQEWCo5%%$c6WrFB=AsUo%?FB-3G9OO7^}FtpZ!# zZ*ggBF|f53lJpOs;pq5Lv~B@t!ungV{uW*+O;H|T*3PohQFa2UP&C0-_G7sAI#Wu8 zlx)J*MU3@}EOetR`2EzxRIdq5Af$>+WTQRfpHWsPVr&(*=+E^tJT|?r^5)f7Y1Aqd zS2n11Ei5q%p=YRxdGMb*PwYz#51$S~SJ@@DP(@ zW29oc&+||+#6&FkbN9B~{`0*$l3=TGccA)^3h&`2F9qMv+DdQ;V!&%nj_s;U-1YbN zNwF20L3Vqo(%IK9(;p8S>qhn{KEM#4oA~@rlk-7_6t}|HFI?r>D;s1ZF(%TxYgjtc zb1BV)(d3&yvv1X-{FnM6ii;A_tSW4Xo5)cQ;aE9Qr(q+X4ftTiGbo&o?dZT zGNW{qEbBv`MT!JTsp(vlWBJ(oj{W`MmDv(6Tq_dQBr?(6rrLBS%T(W3Ft$|Hk;-7=bz`)sZ(6Oe3>Vnc!G_MjSuw%|1$7jLqlGnZt#1r zFZ11*B85Htov!UrZQJ;GL^O&2;gjS1#QirmGgR6Zi={3r6$9Jdjg}i$ov*z&ORH04 zaxlZsJ@LrSF4T6tn{tN6(!nm;tt{QN@#JP&oasoAsTfU%sjklk@6QgBPeyPni&WR= zDAiju3>)7ESJE*e!^8)t7#W=;7Y`u_0vk(LZy0;Kytq(m(cQBvNQQUSCbpYO4toFX zVyU*oSD*bVKlJ1ek=6(I(FeA1Gd|)$xRoB}PD4v9pls~rGbTa`3#B$oTV;gW3bFPQ ziPkJ}w?;~A6IDeNJrb0^6C;p2&PJuqwSqx6JU~qyxIt}VvhPMs%7bt{ZQ^Fv?K=*h zVc>VWSj`sSdHQJ{x&J;y+s5y4c73CZ*ER5rF22#T0^U=uZ&%it-KfxVBy3T~N=y)m z#)*eyaxtA`SlPFLv@M5vt;SZlLbYYE)pBUL5*{KE!C*RSb9A(ycynvBxbXywHsK8x=hZ##8u<#24qOJwmT+u;rn}|*g*DUc;^&Gxn<7G$i zCho&e_Vsji^6dC*bY~>8eH3K zQEHjAO_$Ajm&>I&1hq;?Nb<$U?&XKh4$Ig+z?5153g}g-@^@NDYa#mzw^IPt}HT`8K(cSpAXL6>OgIo=H@Jw z&1K3hV@IaTQW8j+F>+%^8O{&xR9LcM5wTTZer1LALK(lO0WAqI9G96G&NDDPff&p0 zYbw1S^^VPasl`&UhR|3i+F2#i-6W#;I|>j=C^KS|HN?lzUQ@l=vI5uU`xT@w;>3@rb*IhyCMr-Kl5g6U%yO5 zlbGs@GMYK z$mhrIKEx-E9l0%zx955MAFs^v8?StWj%ksO>fAM&qCc*aiYN@kLu4ZAzPVIzZS+!+B2*y)Og36CNEa-j{P8qKK8e7YwQmS!**FLw|R4+!XLf8M!jQ^j;eg_RGzy> zQ@0+wU545sR2QjjF7u7cjq;UqtGu~X<=(LrKlRY~&ilKTyED1fyFpe^ zLL(O1Z&CcvM2fGx@H|g_`~mJB8l%uKm@BqfsdV;b39jc10T4T~FR;8_EzWJY@e$hO zuq1(%n#WRg5=R*&6fF=HSIJYLFD#G_myyj1ESwJ(s?-=84U5IH$B=5#(wqCri@*(h z#OvW_Vi=(;@o?;h|9d~QTQOz}qda@wMpt(?n2IFal8?BJ7hijw3ss3jqeH}W<+k)N zx6v_O-d?Jp%F>?yQ&199^iQ2;I4O~}x1ch=o26*1W0sfLeCyAUH{aqAJ}deJo6~;} zZR{)~nJ7c45SnZQH8wl71J8T4w$9Az2DGARMg-9^5iFC0W0Kbe`c;VH;9WK_j4qw7 zfp71A4_wbBHZw!p=pwz3O{ph{G>B63H5z6c#oq)ePL?`q*kW)bxkFt5uw0K?$6}*y zuvIr`7&eZpBZ@k%+{Ses(qbEYpOjxESt~*9Qow7D<%5#1tOsS?NMB&)(vvfb3#)X* zF#SRaIg%qfGI8M8rKU->W7D-9952}1gcTX9JAf{EsIJX89z(7Go&jpC*Swb4)!YRH zO+(am8lpj~a-O-;3jLFZ$W4EoXlgi+9Mg4#?LRdQ;eg=Ex%Mpv-dcueE|CB0>kp*x zZUeKmS=RJ8L!my*#yYLm2B|F>wk`yXM%!7~Xzu2L@^#v?u&W_HS7>ozy+NU2Qtenf zW#mKsAs(5|@XTd}O3Pv-6=p1z<&~Mvp66R7q22uXj;nEg=I$TktJSaa_$PjdWHi64 zfYMms>3i6vDU1i#6YYcKD5D?$IY##c^@i=TRB@RvCa88#BSw!9mDWgE8w|@e`XUfk zSD~;9jRf6>z;apOoH|4}*$>(@3{R2~TTIC%M*MX&zXjbHn3)N_cfENH*MW8cGn8Z5 z%`jJNQ)zEsw}ciSBRP4DiL_4IDfSFtR={dgz4kJ%Tq$5UUhw)WI*$90x?S_iQb|U2BdY$L5tg=)JHlXtxIu~PAj*sTyx(&YPL#-uH?74UPJ}g#R zh_1;{$N=BvaJ#@=%}tQULFn~8T!)ovhgaqTz4`Z6i*&szlH$?z3~WJUIvoOM@I=y-J@~Cn|PPg*3Tl{+45Z5Ny*$=1XlhdUTQ1Y8L@GJP=0|d`=H1 zZ>qwxgGeSghVCJ$J;T`IH%TT_jH`=8a`!?u(yQ8b1CN01s;$(IFwoCHSYS%6F;sY- ztF<@y(uZ<&0q!_Be)Q2tdHU(6Id$q3Kk*Yk!9V?{|CHyRdyc1{ewrtreDXs)wU6*& z;q}EbfB5Dq?=08o?$O#!h86A`Pw`U^jx&|p?Lz*khsJk;V%PIot9F?ywb-m1yIQ*< zjPy8D195%dMAIMcC+_!CYliviyX*V11W{dPvNtInqzk#Ndy5Z- ziJR(S?j8GgzPCWFW78MY`NWaFn~a@+zQY)!kFmZqLuKVMQt>jO*7wNLz!XKY)(l6t z{s75;i_ThtYjO-r&=D>7I(f0+?^e6P!g>|c5(vp5((y5}(P-dyrtdnAS$u!!SPs>W zO}%5WyDt>07Vi>gk|yx9nDuc zzg)y{B7`NEM5Z6adO%0$R)V8&DF{-x17#%~EY$rcNVQ7D%p$55Ld^BUp0O+KVEm5h zVmcmz03k&pt;_VsG-O@nd@)Vg5sAcPGLs4+xr2y-pvs7vf}jbAseZ)%X@vf1gix?y zO9Mh}iLGb9%EM3o5TnVlo8PztAm@&8@4$V5G+A^EMn8Vr1`C7HK`KUt8KX+N{}^iS z0kFC|ff$8L!J&kMpe{KU1d}%jl=lWRE0rM7wOyZ(Dlwc2G2IvCXg)A4C^k%9xK<3f zmqLg4R_mm~YCwxhhM3F-rTkk}HwGhvjLM@7Mg~DvcKRN6XbQC@sILX3;?48H(Q_3< zRPa2HwVK63p?KrG)|X>F2E!*l6uUuSVt85Z^_s@`yeV&2*;QP*N9|)mjaOBSf8f`QV9%UZbO;P^{l`Vxi_e2~BJ3%`J(D7^I2OZ@1M{wTlr zi@*4xp4>+Q=x z_Qe8z)@VA6D(|0YY}ez3D_i{PGgnzF3!F3O`Pg)ZY*b|=9bzmK+M^3;(zf?+fv;>d z`Q@*@%Tn1Qmx%EB)1#!q>MgZ6_tFPmyjJAOW`jgnrD@tkHJK-m<#y-;J4g%#hxZVx zD@(j}`6}N$Uqf>|hJ_LXUYXF!I|y_GV?K(B#ragHqGv-NiC% zc9fKC)3rU+_8L#JN=^tP_~YP=gCCTw4;tI^A)gGPNaD`ezVG8(7H+qT)9JERtg*6D zrChEfm?nZLpqOLy7gt%|SV47sa0Q}q11Y>plvMzHQNmFp*lGk<3GEAXs5iip*xp+!T)5-}!*(@YFy7#v8UM#2cPO!6RUFQdMj z!RwTP7L?uzj%fcL&0QV4md5NRAbE#3_5d#D?P4%G$Wzl#1>Nl79R1sy$6g>71a>Qd z7J1=vaLD?eKsnE~LYvnY%XmJNTh>l6BZ~r=sLEh+xBEU7QK@%qE^jn=;c9`|LW{5} z_dZ*nyT_6TYiZvp_B06NI=g{#Z6){)EWF5tYqMN!hcP30nEn9>rEfm3i5gC7l2!67 zT2-3W-zVnQ2rB~jxi2x)@feX6V2qs)P!#vgYqWY6;B(Kh&=Oe|GhkIo`b{RsCg1-BrZIAoRTt_coFZj^TS?<{8EpW>{{7I2)-jHEI%?%zc0N`gWkl zVd4>{%FB#3w}{3wFftrublB}5nJcuoxL#+gvA<#MaDRwLr!%}dpTTPtIigkhSbvu= zJ_~CN7Oq~S<|q)(5DBNr#xjieMfcGM&JGUkC_Wq?$nR`+y!tAu>l-YdpJl6I&=I02 zN}i~iXCObsedB5F8cp%`(j;Gg_7#5g$%lAw>h|y1NNj|yP>y=}D)Gz_68)$5ZM1?$ z%y)xBj|ViM)cB25pgl0`-HLH-PxW@ka(>Tsk7pyd@1}S?lA~N3{!w0^*+3E!_)8KH zXkM$b$XF)G`d{x6u>D^D%-;t7=Q|to7Whc#_!juYIoB!23M!#{Z9 zK@uZJZ+PE9cAC|W#VfNVG)3abK#afp!03SwXw$HHZNAJ)vt=%A)Ty*=TJ<7B_AJ9f ziAiaNzGRX9tN?NdPmR!w<)}x}G(!pe1IqWs!X>ivFQVfUL+1YY1cy?GAe4d36ju5W z%k;C*lyB(Dj%YG(EtI%Ax5!<`r}@eI$8I?9a?50))aJdlIvX{EO54Qs0u5%%^>}%% z48F@)#NmIu2TtpyKs%NoP%L#tR*VFjRszcpBU&b^YZ3Nr7FJ7mhDkzjxi=poA$WL3 zm#*nh>sZt}_C7jHND+eoGprz6P0YpD@Va%xPy%iI{y@#Zs0F1?Z%-S$DD5g9XmOf$ zn|BKrX<1#OYKSwr6U5XzqolZ=%m2T<|BjREt`GhH*O@ufd)=MwO}*JFmL+4^az!}c zLK4~!455U?_=zLywB&nKkxUclPBp~vII%ek;<1z+|H3 zGp#{44Q}m%dsWCuSDl>(mxZ#TFc8hnN*{>lO1#_~rBJT2yxz%2w{7Lc6y6$f5w!neUc)yr1xM-(_$jPDi~5&kY}1d@JR1fW-D#-Q?lk!A#yRbg_x8m&HkQU?HDEL9866)-%|#&_MX#1=vQ}w# zRH?Vi=seBZ1)QsCRxACR3F_%C!?p`F>dl`jjZY~QYXd9 zw5X?!hWWRb`YBZuTD?{_ws~3E;H1N^rRbgOPD3;r#qalD**eGF-Q9fWJKv$ZyPLoJ zyT2nC4DzdA{fg%1W>&3Qb-_C&EY8!%$N9Gx26$~GNwKVuDU?x>Fi=HDm94fYf43n4 z&OBrkkf+PuR26lqP3Bm#Kz}4lp;Xl>3aBbeYKsw0&(E4%Jau>^#Xu}aG*hHhQ7Kgw zOvVC|Qo?G{<8jEC^t1E#v^*^sOGpeyCDM7VMQu7)#X