From a875817fd0312b0458e87d5be697f28bfe02694a Mon Sep 17 00:00:00 2001 From: smgr Date: Wed, 12 Nov 2025 23:54:52 -0800 Subject: [PATCH] make chroma refinements for v1.3.0 --- examples/class.py | 68 ++ images/render/v110-alpine-dark.png | Bin 0 -> 64916 bytes images/render/v120-alpine-dark.png | Bin 0 -> 65249 bytes images/render/v130-alpine-dark.png | Bin 0 -> 65141 bytes ...ynb => monobiome_qbr-shapenorm-v120.ipynb} | 0 notebooks/monobiome_qbr-shapenorm-v130.ipynb | 559 +++++++++ .../palettes/monobiome-vQBRsn-130-oklch.json | 1 + notebooks/palettes/monobiome-vQBRsn-130.toml | 1000 +++++++++++++++++ scripts/render.sh | 17 +- scripts/screens.sh | 27 +- 10 files changed, 1660 insertions(+), 12 deletions(-) create mode 100644 examples/class.py create mode 100644 images/render/v110-alpine-dark.png create mode 100644 images/render/v120-alpine-dark.png create mode 100644 images/render/v130-alpine-dark.png rename notebooks/{monobiome_qbr-shapenorm.ipynb => monobiome_qbr-shapenorm-v120.ipynb} (100%) create mode 100644 notebooks/monobiome_qbr-shapenorm-v130.ipynb create mode 100644 notebooks/palettes/monobiome-vQBRsn-130-oklch.json create mode 100644 notebooks/palettes/monobiome-vQBRsn-130.toml mode change 100644 => 100755 scripts/render.sh mode change 100644 => 100755 scripts/screens.sh diff --git a/examples/class.py b/examples/class.py new file mode 100644 index 0000000..eb87231 --- /dev/null +++ b/examples/class.py @@ -0,0 +1,68 @@ +class WLBPosteriorEstimator(PosteriorEstimatorTrainer): + """ + Weighted likelihood bootstrap (WLB) estimator. + + Trains models to approximate draws from the *weight posterior* (under + Jeffrey's prior). + """ + + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + + assert not self.use_non_atomic_loss + + def get_dataloaders( + self, + starting_round: int = 0, + training_batch_size: int = 200, + validation_fraction: float = 0.1, + resume_training: bool = False, + dataloader_kwargs: dict | None = None, + ) -> tuple[data.DataLoader, data.DataLoader]: + """ + Add logic for generating session-specific WLB weights. + + This is probably the easiest place to stick some fixed weights on a + point-wise basis for a given training run, and we load them later where + we need them in the ``train()`` loop. + """ + theta, x, prior_masks = self.get_simulations(starting_round) + + # generate session specific WLB weights to attach point-wise + N = theta.shape[0] + wlb_z = Exponential(1.0).sample((N,)) + wlb_w = (wlb_z / wlb_z.sum()) * N + + dataset = data.TensorDataset(theta, x, prior_masks, wlb_w) + + num_examples = theta.size(0) + num_training_examples = int((1 - validation_fraction) * num_examples) + num_validation_examples = num_examples - num_training_examples + + if not resume_training: + permuted_indices = torch.randperm(num_examples) + self.train_indices, self.val_indices = ( + permuted_indices[:num_training_examples], + permuted_indices[num_training_examples:], + ) + + train_loader_kwargs = { + "batch_size": min(training_batch_size, num_training_examples), + "drop_last": True, + "sampler": SubsetRandomSampler(self.train_indices.tolist()), + } + val_loader_kwargs = { + "batch_size": min(training_batch_size, num_validation_examples), + "shuffle": False, + "drop_last": True, + "sampler": SubsetRandomSampler(self.val_indices.tolist()), + } + if dataloader_kwargs is not None: + train_loader_kwargs = dict(train_loader_kwargs, **dataloader_kwargs) + val_loader_kwargs = dict(val_loader_kwargs, **dataloader_kwargs) + + train_loader = data.DataLoader(dataset, **train_loader_kwargs) + val_loader = data.DataLoader(dataset, **val_loader_kwargs) + + return train_loader, val_loader + diff --git a/images/render/v110-alpine-dark.png b/images/render/v110-alpine-dark.png new file mode 100644 index 0000000000000000000000000000000000000000..2e5c8088ebf7c5c571125433cd12c121c319fa26 GIT binary patch literal 64916 zcmb?@byyXBxAveSNF&m%gaXptf|PVONOyOm2uPQ7iJ(Y#x3K9(y1ScAZPbMR z!MmAU(EC83j_0CobB;=WXkH^EB*Y&}1ex-aE!z4n@YgS-Bo)d};7<<(8ddNLmWZCe z6z=^!(fIcKzMJ7ycWYOOfWP9T&&gPDBYy0~aVMAz>BI0pLZ3wT8pbN8xr)nKGU{qT8H*xi`38$ z#pSP(3n2qM7tPodk;i)cFD}QKDvE!*`8AcSbIF^{T1N^sxp{2QmzA*~9NyIJx16KX5 zdxpx@Cp9a)kXoSCu#B4o5BPjjr&Sbqr5it{@PndnH|KokO^yH+msmVf$=O z8~q6h3F>+t5Y3ObTh6B!+4+6tw_#d9t((-xam&Sq5^R8f@Mo*^?7EVR3-pI<>Vnr{ z)5^-qvQ+%r=Lr6hk&!G~d?H(T9F9u36a$&glTQ3^faD^+Dp7}HJG4Ft69MKd_t(kQ znlfg0Q0=CC6ksLy=J_kXJg2hW7vxpy2c|FG^5l*1uAJgcXL@07Yu8!s4uh!w`+H@Y{*GT&f;rsgt+r2TJlKulQwNhT%djWS&9Zh2uYY zlxABOVtduLVtCV$^>Kpp_51^C&OTG8{$yMuW{sBX4Z2{_`35S3!TzND6ic9cAY^Ns z1MYM&-UQ8vl5#Q?i^FDp z?jJ3ZK(LCx$^N3{0BAwfH6_mu{iw(S6eTOu0M(jHFco+ ztFW)0+*Tkf6e%;@+tB(wP;ygVUN?>mRH^?av{-2?QB%p2`||T~V$y4j3W#MD`t5#J zSa2~JfOY8rw;FiF+60ZGJMrS5x!hi1At%f=EBB73N*Vt#-8bW;1Sls9e(e0^CxJ?ytpqNgerxz2(d+Ao=W zg0oquHZMcN=mYbd>F;{#m`Jt8$U~DqMra$rxD(^4$i)M z#=d$vZRP^@wRt}xU5CR6()!U+r3P*m+H^YG6`~g2d)Qe)qeU=R+e$?|x1?g4Hn%x=H1WM! zr+6n;JS5FcV{4zIu8~0dtR4Cm4u80B#5(Kd>oH(n9vo7K$tas5L|gpB_R~%InbPKm z7yFF*tV9wHj>UcM;@VM2#|_|mdyh_^;Tl{iZF30|A_}L083{?d^vLBf_9`U#7fZIh;+0&42Mphv-U+%*L&Ns*Hlc zAbK?S?>1+l?#ffqJ=Ah-4X0|9XG1 z-q_^0l_mq;RX~H^I0G_{Q~F)nx(>#AS1#xn;%I^%0;d8640v9)a_(;l zmrE8T$Oqjov(^A??SiW0*RGr#M_z9eUUj2B!78K1z73|W)N&H{{K+0mP73i`DLcc( z>}aUaJ?LupPYV-;BYvLBfC#P71$|L?)@NOPe5G>!sWlp_rH!esa4}%t(#8hSzbB5i z0f+KDn@{m7hg>3%GDGpWkerQ;4MDholozko1YGah)g4_8s!v3=x{TJ)er&*^91lDh z&6fS*rh}Yr&0>ab*J}n%y3evM4j%YN7Hm?5AhP+MXSEwly4LU}*12xaUZype-rO+V zLeuVI>(V0C%jo8xf1HHJzUNs$}D8V+Dc40uHAz8_+BdW;~e}=!}AEApyaWba?a0 zrIununj6E|h^L6np&^YpP=G1>NL38=<6?5+ssCi3GD3J58GHB%+(dB6`>#_yWibjV3G^&?b>6B z)C6hoZDejq*n+5tpX_ju?~qFU!E<);=PzDBJ#Poo`B<_=kn1od^8WzP##TPeb>VyD zc^%W9gL02RyHT0*?hz=~$pcqO$fWi?mfBWn?Vpbb7?9mJbW6gD zA`Aun{%{%0SD^#1g+>1bs|7BTi0=QFlIiF+Wam#?YY=4qqsu@X-Cx&Q|4WDe=UZ$; z&F(xXoMe6X3OlM}X}A*7`tckqLj{?Nb+t&q75&B~FWn&d*JkMIW^N}gtrU$!O@=KA z-uUq4DjrQ2ljJV<I_%*^DEZFhP?mG#mJ z3T^DBRC#R1yn_dPuP=hZr=o@6XL{@-pAy%JkPT%X4$^&G?Fh1M>Px&?eOTeArEs#7 zH4?PX^aME}Bsq}>)|CxJA6M`zy0;#w2X_sj9^r)E&PN$kLfI+-P9f3J#((}%TJY1nGZITqc*~xKN!3**uoIHT}K?WP|iF)i9GFe6#$&S zaH4)hjFrjD(w=lw5X5U^t4xJu@(t}sAZKaMxJbqK7=yOr`%5}bPELM)Z<1KLiq3A# zqlW-q7-Xds!5_cXZIi2ZuSuD!*;S7sbHHTLU4ZQ9-Hl+OpL0-TwYz!c?Rq;rqBmqb zk9~ahT~DDI%)`s0Vg*+4E$M4G%u(r}C;#$@0oY1qSIyMz*A>#`ePtUSOBdwYFfQbV zOv(P^aV#C^W=6~z@KAv*sArY}H%0;1IidUWmak_DsgTZZ8t`)A3?coJ(FelzrW)5i zJZpWEhRpi#n~%*>4}qS(3aVtKlk+&HLpL?*bev3Pws;w<8LvRYm{WO!7K*IXLwHcY z_&)73W^*cknM(Ca_M3uOgC>^KrzT=OYp<^vi@H)}@LS@T)xN;C*wf!h`?hYa9Dnsq z+{a2FkFS3jCRPTt+Ez_^>n`}@#bwO}xFSbC=9#1y(wgi9fhRh| z?I*rZm)BgxUT+d-pPCrs=KA?z0l!ec=Y^GbYg^;ZewUX~USQQU!H&oZeLd?Wy0klVm|lC3hg?|S<>y|@Kjtu*ZR-|DrBXb5q|6raa*o1YC* z5}O9u3dnb(zQanrM*ATsY9E?JyGHn%7m(D7UM}V96@2{)X7wcO+tWiCTD!XX+?~BU zQsp$lYc9`U{VFzQi-DMODn6QcScL4C-`{JRuMdXd!@YkMvO(mw{rt~*5-%pnf70O4 z>MzJQPZLhi)4!W=vtaUd-Z>FsLWVq#;!0-p{YXyP?cs>Y%cwDzD z*gDC4rarygSP$t=Be=S7G09B$;^Ua|rDG1;u4Z}&zF1b?l2BS_J)QP!^B3IU+eu3% z{q0(1-cS;|*{5?Pphc1rIO9Z1dj~1ajFS9MFw5q9Pj-wUXUo zNvGAfu|R-Umtn=j=K)jvk;S490pB+tC&FawI|YHQLd&rJNE*Ac)P2{A9@{F+;$Y%m zNWfK_mQlmPRPkYtI_6-(Z}i@bceubAyK7*s1WWLmV^a>i0LcpdwU%g@nvW_j11i)y zPPbFO^rhN?(O5sP@^(U8|FOGTOP}leQ|<^_;_fZ6UC57G3n{eqjH-bA>gizJQUmG|t9*b7$TiObE+t~NS->J;Jc9pK_8MPU$yuctM zRGO%?D0Y4*JeC*qB{2Dg+8`z_01zfo5}Z3d9-ZU1uq8>h<##nXk{16?2HgA#OweO< zqIQN2na@Vpwv-d}3&hjy%b#*8tHA9RbeN#Zx4UFVcC?9tGrR-y!X6(B5c1kyqL6~ z2q&5OmidkPfhL~@+HDwN13J(eg_XpMo~^|cke`kphbQ+rJ(hrvdIYpISMnxqfsP$+ zE;=Nh@h0!BOP!vf1J1o4!n;n|4~%zM0D$XrS6Xkh^!ZD&^*xD=+cY^Vi#Tt2bRiMY zWvdPD@I5B)H*t6c*eCO1ZaUr_7tROmwg`?K*q4$3OZMFUkO!UTIqk!T?J!hOpb~i~ zg_}8)*kkP4pv#yTx9Y#@e^Yynh;mIdZY?C|{DvRk_A5&n(zm+#F<9hTe+E!|KAPr%+2D9u){fEAMCAUbdqfOsUD8)bRFHnhjjQ8@z!Cgb=fbRD^#5NFm>q~rHu_F_f3rwbX3 zBqIp33M3GB;7HyQPDt;_C&l%mo}x-Vc_NF}^1;Sr)KOzWZ-FG8DJ+Gs3o8nLnxT5@ zL9%|10s(#O2836lLMOp%0>dEh>D{HUPzZCe`BKv0&k5<;y^s{EJ?}F0k@e=U1nNZKdo^{H}I-7Y((Ff+#o2Mf^nn-ZaM~YC(&{Luhds42~_dm=>)^H?9vS%}J7i1`@sA2jlJ@bt7M4 zahyE=1F6la{)>9e47z*}o`%5=leg`;wY0Tecx!Aw1^hwfkHzyl49j|qWBb-4A|gOL z%TIEs9DaXkt@uOCUkI#Q`R>fKNrC%>wC4|Bz+#D30mTp2H;P{*sYZ99f+$b^K>rE0 zv$rmIVYuYvn1GFqjUY18U#FetNyn$Ht7T|b?YSN6=1eQD=xFX6ouxe}tOVISHDOJj zw@vI@U+e#i1FZe{(C$Z-t@QF4*yyfRhdLedpuqbkIa}2o9FdDDvL^TQXsfGp9UN2K zKW9Gn=tJ+H&g=O{<-NK8b@JeUW)1(wq)LpAe)Mx(l~p{QeV5`*+U=49Ic8zQQAwO3 zOnBv8%QIOIqDO}<`SqGP zu8&~20r$m4W-6Pn-SP6~OBYDTnF)_Ic5ZI*?&E@b4?#C%9`w1~cVNdLhOGPlF&pz5 zB@6P;(;AD-B@KFZgRLK9lE=2=p18wrh$H*@Zm1F3SXoY4&F9+3`kW|V)WLh=u>+$4XM+d%w*k2FzAOV89R#9iIFTq07INDO<00aE<>uvbi=m-+e zWv-;E=MAlUUeoP5bN-4tqlSDjnlguqnM`B)1W8d(k;{Vk?xOqdFB-5z@?T7Ut> zCYnjHe$TmC>w~33W&AweTvQcDU&4jVi7?b^G8F*f{>HbOisepa^-Z|FPBzYOeiWw> zkl^>?9sysWhH>mn7yzTU{jaHF%)Y31x?dpQG^n~$O8Od@Trl$V7dc9G+ma2oFV>@( zB*NOfuTD{~Y0yPs;dFB4O#!qs^jbu4)hB?n!)TV(<~9@4u&d=;?Avw=^kB=GC@z*S zW6&46{DDKbvxU{De!LjK)zILB;ME)L#fP$YtY@gAH;l8J;@2kjcafGY>F|?}gFDsq zcRy>5+O31z9nPWI+XXa%RG-q}^KYVH0xk}&J1f>rTI$z>JtNgZqF#};3zYj$Kny9e zSui*>Z$6uh(^_T8fDrSBvjP`z&+@LA=@_;JVX2Rhm!VHX-g@53vN)3`FeEz6y`17c%uIzBB!U&J5e&0w@mC8g)Q>Q_v~)LptY5P#Pw z>5$jI?$LwFI;gwz2mmL(Sz5cI0etz8r+xXnDJ_)hb+`Q#DM$?f)N-{A+J$7_t86E< zT~eDgkftytlcn+t869!a0K*We;No@mJFMkY1yX7p`x<0?3ob5bZ-wK(T0(6`I--2rneqwB}yT>FVB+L-#pI*#i?@vdR>qc-KvsqFhrH-M0mE!XV6Y23Ue zxt^4|kJ%)|71(P2fg&IEJdiVPoJoT~lVH|W+`-^91p7tVe*^dLz4$#N(HASiPhI&z zjR0_c!UWVYCy2BvgYb&3^XWA3-t8QtKCRTV9_2Vk5H?fQHg;t{^^_o{B~5f-{c2?f zDEvDINeC$L%?Xom`rc5H&tafO2UNztk`zVoxf_Mv@3n}0eS+&mTQA+tY>QoV>4>8! z%t}pb20Up3{3U!U^Aht9BNq*MW5bISyr)ap`uCx&%whq7ueJ*3D*3?I+_Ju_I^un} z-&H35FV^QhhWm-yzg^N>r@$@NFy|*J)C;zK7TW3RBj3zR!TOoU7qj+8XSnLl9F|@u z01p5B=I1Mzfx7@BERax01ptg&r%2mdY6ReVq+~)OMr;30d8$*NXCKy1@#j!6b8=^K z5AYNyvy$>rFkHixW%f9c!XVGbRQZ@_UZ-L4QM0(d`v!U6e3IFFfI=-wjgk8BKHm2i zl~@YS?@xg{*o|T0e6*(o2zamkW(zxa2OVNIATbZ=4+w11(1N;p{Ik+uKbH0r5O@qM zJwEQ1;&)zO$|omW$y?MVWO;)EsJG;kvB=f?9={iIXwgrC;mQGJl+BB) zg3rMMoL}F-`(a+E8+hrS^N|J}1}{Tv_wY@PC%?IW zncrKH*9QnjyW3|MR}aS(s~(DQ8B*k}oL+$d!M3Jv-OeBgbzA{y{HGdW+`l1`Av zifzgTOdMV(o~74^y$m)H@o^ zZ?3-xLRtEz&p#zUcZk0MN36M+J&;Z>efGdeq;kKBArvJP714izh{L^VQMdD9KP+JL zRR@rm$w#mbKcvOJMnv5`S5we&J^A=#4y*b5ENH~D^A~@AM*`k_YEfH21xVm7e#WB^ zAuZ=j)WrS6H!W<|C4IiR?WO;*xhL&Zb^u`lQemyxkhE?@Kxf${Gkbae@c3fq=L|v? zF^m1Fe5~TDXDA>PSv{_u%WA>ldV&WjPbvCBE|Er$9V$jP8F$wao~AFe{P>u`hbDFU zUD~#akn)*!QY8bqCW=^KT?`F>Ap7vHFQ%+L2T!a``AHQwlvob?K zyV}h&@Kf#mR@f7TkKjLVT5{`l*Zpp_$8-8@?W6wSBcMrZ6Q7D={U6lL)xN)d^@2jq zMKc)6D1CB+mXx{Nh!V~y$LqY01_asO=48rKj)7b$QsW@D&;2D?yzj+Z8#8^F6e94} zSZeIB?^T}QS}AW5%+0-px#O_hXX`o;L-%epD@xbb#twyG0D05IlHBYuf4cshg4G!c~<*7i?AmTb5Earm|6 z*0>)s<=JYC>(E=HDEP@as;|MX=ugZxo89>A6j6DDHHtc}G6szlDpUKr@3DwblT@-s zSU_4;%t)3)FR^9nx(}ldsTf1a%s>Rxve$RuF-+W~xHmdzBOdj2r|f!R!M57&mzeid zrW>`pNOpSUYmp$s zxDjp%<2p)8`Q*ixQ&&bBUj*f2@?v4W=P%e`K=m(v*0k{-jKGb2bnW#R*K37|ss<;V z{hw(XP*v62jJ^Q7*#U)v*RHAawhp)9fh>@FmhfWnarzqxiwX)2ik>e-^)9cG))!FF z?i<|Ex-3+tVa=Mn=ICK$l-<6JjOlhLH_@D(Z|juIGZOC=IBs5+;(dgcS$-iG-{`p| zZaK_lkuTWrQ++olZq8?q2xMKK=D3)Zz<4h^5xU1trd|m?ibQk8Q4-1^nsf_O@PNrf zf6(jPTp^x3a@kDpQpPs}bwt+%&7|VFKb+?0y0?*YGa9g`2HRdF&nd_RwO&6%aj1IY zZxd1gi-nrk#9(8(CW^O$y;HTA8M6LDR;rqa&L@z31o1lY~zzDsC{~ejIGU z6o}tD@U9r8XVgzaKr$O8vXfXz(Qe@O#YgJ_L$_9Prn}kodek67>(xb6#ns-NM6RxY z(yUii-&KxGz2kFMT5-6Ku3f;4Z5hjNyB+oTHi^Ywjxd_$-w(hXdE)*{cGln{ZxgyxFmLY#zkngJUt=wJ&T;&rU42v|BjDd zak&t6e-bmBpnsf^C9W>_mw-Eve$B^N(wLe zv4Qn0Aq4S4j!OOCFjc?9%z$gdv~dlFKup-cDtm@CMYh{tfQ@BRlpx*{I6}oYRJ!Nr z9+NIoxTymPJ;o#$5{!wn)|~Yh;lvhtY3xIMw1A6_vje7nBD992j);qc#ZjDOC=&?) zV=(<3>idmJmG&ZgUpl5ScuzEL}UiNOTx=Sjd}Z-%A*9 zhL+Yo1JLA0z;{wQ2Y>`bFq0{+XV0}khmqDyEh6e{yl(${Xht6$0N`=&VQfkdY?g5N zDsRSDq45xPE40j8Pr9CoZFJaQg6Tq*9Vs^djk2k@QDcv&!`g<42edA|xqtogy)G(V zD1o(%33Nv87VoYF9U-)iMqrNJ$7}hyqE%wT-(@L)njTryragBjZPioSKrqmzzK?N- zj13UfU;7=(5*Zn*Rh}r(mulc7Z0@Mew`rLees}%umuHEfKB;wPOFD@9M>Jfn zH;_D8s>q-JKEM7VyzG7ld>#ZB=gZL89^=93dfvnErz}>2^ii*5x;^b#!DhJ(AeF?P zT>GekEO$+icYtSi9?JT=gnul>Q$1nan9@wJ4##iV4?k|Y69@XD88Tdyd3O5B_Vf0Rm;UNH7eyoqQBI}za zQZVvdNGX``J{OZ6k2%kglK;iKu@STJ@SayDLAL20QxMP9ulE8OmSFm0u-8QNe;e+f zG5CLkA(0nt{|YcqQBqPiM+m3U_jq~NH>;;s8jJJ_XohB^XT<*%;~s7e+4=XtZbTP) zM4>o6pmB!RFb>*kenyEut<3@jD=?g3%-XYl(%C5<+>T8~CMbwazzfP4=95}zc&XDn z4m|g^G#V2tvbEW&1Tpo_oa+e8B-|5ih-)WoRm9_Z{of(lq}FY@g=X z?V;p7KcAr>f??iccOAybV1xVHk>|CF`EDc>zsS%y4Ni=YM|ko7c}xwJ_gB_G{lZ_W zxVvx4r^dfS`2;B{-+$a6*Hq8$pOK}FANfCK*1rE^J}B1^|BHP2ck=E3pIb_w;^6p@ zKD=-0@aw-*F8*%x(j~9|E zJJ>YA>%$M5nSRY*zb>_Yc&J@t3oQ&{eEoArYO97^#^ zhl!+Aj%Ga`F2U7m-gG<6x=~d}n7zHkGsKV!;an zfy~y}k)O~JTJ3FZ9f_IWTZBzm&JLkPx4hwtZs)MJH3t1>RPKx%LGp^g*D?(*HTprK ze!%`ZlD)iDxo1S4S~RuI+3$*jsgrGaF!7txkJxR|!})cFOjw^?LrOsh3r@H7e$W2E zcRw>d-=nuy`yo3IGopZyx8F)y;GUApLFmLMr>8xY3HEM_cPobiR#IPABJUES@+Y_n$tpuU71>KQ2 zwIBEb{M=(FXm$IL@6w5n@#QiF1%!m|z}?Z{b{H8F;&BYYkBf^-O-VVZU5$htwzL!$ zT7#WFK0cP`KYlANF7Dz|bsCYCmF0DD;4)}CS9|;ciLAT7|7P*-Rv*-(tWFuaY03L4 zr%8w+LfW%@Pn|i#AlIuKjzAKdStP{JWBYqzhv6~U{RVKHYZiTHuZr`Oa}VYlYVz}Y zjdzA}@tO4IMn}Q@mMQstRD#^+w>4+niDrfAtN7l5RIcElAiK>MMk!;upnqV3q~R&)IbSa!2A(t<%|p{^1i(c zZ6{2s(kgOoNIZ>SUa7MNE^EtHzl}T)?-Q6$=_en|L%CSpw^B~r8UXA?rnO11WqJz+ zZdZ{6)OI}rrgtf)Uu#u}S=DF;wd7bc>=wd_fcg|B2^!qU+Qu4ilpeG$EmH%M($WtB z&Qw`N70|AfoAgOuJ;dZ6o}HBzPX)0$7!7VgSUPApeC#ja^?2|sKQB*8My9Z+s32v3JS6ce7)Jpfd}w{o%#A8^ zcjJ_&qNSq3ZZ?>9aBu+H(lBE&V~su!1x%n=uW2WZ@#V{{g99?1I$;WA6coBwuj<+; zc8Q!JY~P@ssKKIvflrzjCPjMVVq-zeK(=XER5Y1h>MSvo)ucuJ2#I5

UrKF@t#nB+N#>opxx#c@LI-Xpe zZXzYlfh7*idxpZ8pF-+Be7Ly{CaNQ`JTIL3DlBK0i3{L?TVZ12e8#F|+qr&u5_iYB zzO8}^w8~q}&4K_H@}t4TaPifRfm9b>U2E&TYv`_evCg)pk{JGdCp8!nZebTpdX4U& zQ}Kh%E&@wu+hb9J*XCf_w38EC>VTY_++%;xLOIOpv3_0e?@T*->jK8+D9IO7tgy$9skaQ ze<9|D#A9_qj}v1@)?s^aJ5NWQV!=`d%fp`lSzQv=}=H4P1K#dn7(JpeRij{vYbB!vASA75eee8#< z*XaOP&mQP{Fv<9l0b02bGPxeu<72 zUf|P_ltc#51bgNmnwXfx(a2u6lf%L2+;(|Q+xh-%js3C+YvGf_2AO5Lr+KcPU)hJO>(ZhyA!742u5N1qFOmuW~#Ku0w2(GXkr`vo2UoC9{6jW5! zj;Rqr^wEhdsBkq=YQOvooT76m)MmDNe`_RrwPIAa!L_QYN&xy>d9{MqaHi4%B~TdA~Ic+TM?3frC$r_*;AfC)7pK}Z7JH3TiV+_$B zquC*?EI?So4!?{x?QXom-y9&nyWFz_7sLDRiaU0q2#6s9(4@!o48;dOo(m#>C8h*d z+O%GeiJGBzd)PXs?>npFu+&>7gdn`3%OueuFL<)qAXWE68Z4lr?wicG_Bw^^0~B&8 zsRDiiQmp;rHrre!ma~0;Fjfk<7VfO_r^pkV0AP=^FGdKHUtayMN~iX0Uf-L`ll8tX zLoeF7Duy(1^TD;ssEcO~C&e zA$CXPG2r#pyX*q*w@1H+;WN?n(LX~8d3(}>3l9Z3Xp$td&e~%CO zTw(WwF!w{wyCSu?C!ycoK9A8WxlokUqxo+ttCS$Z&z?7xZn~+337Re2js6gP8=GJG zO@hRAcG|BAnSsu($8IciLT8G@esgy#eC4{L;diJ~DrAd+s-~b8L|#X#zsJWBgx%e1 zmGaJdO?k&j;L5jo(Nk%#724NCC$Ze7B9N?$2%mi(R6m@|hEG(g&VA&bhs9e`^kZRU zroQi@_;jk<{ibJu8qfaK8#(t>NUUTyJGZr3{!V30h4sd{?Rio%ZnXumqV0 z6%*4?MNTNA94PYf@_M!hq3i1E5_8!;@;^U!Wj))y(Wd6-Pvh?}^{#f?JLdv-shsHH z&q2eo?lBF!RN64je=n0N<+HP}@4yGXWY-3M0Y6Ngi1d%&Z@bRaY=>;)5Hgm{?-zt{PmXfTEVSe{CTB>%^smrn2D>w7C^k66!C zhJ0b?;4m>W%gxPA9WccUiw6z%)2EK0U3HjUD4Sgb**uSKqDtA{x8YyBg3I>o zEn{v3ZXhyHik8gHvqm-*&YtDMA7$uY8JA!pidT->nBR4AbIt0ngT)k=bk4At z_CujOh$%<#J2r0LmFU`!3Kl{0oJSIkRCx;6@n&qhIF3j`SmE`y7M6-$0|xIEdE5kY zcWqz6cDVWrXtFWlXyqB1n8;6*OigJ3^QxJ)KoAij_`5CoT+q}V`a_110FY7Am5{6= ze}v}K4edBgW8^dTr5>t8Z=)u9rmg=Ar!_Y6gTrUMW{MnZ%%EMp*N!O^9ufl5XNL@< zvtIg=m+`$^i{8qAfwilyzt}&B5w4>AZj3sXw!s0SZN52?26u(kL?K8U?3%A01L5LE zhK4I3p1HlbK|w`LpC0A5W*YwEmKt~K+x`B^w`Aa{gQ~ghkJcRXxD8x-+&z&;--Hb* zSma+aQeGTrTGc!hcGI>|cpH2A`g-B~7t(c!a{>L;N15N=cZqvf^7CakE}MmXR$#3r zn`!^$*_eFr7kpgYh!IVzxWpD>1}RWg{Uxx$Hb9tgSU7K$UPaTiwS4w1*hOHUde-m2 zLB)BWSw~ZI8eF#UqhKLWEp(*gs_=oGzt*We8dujx^slbwEYpzb1uK#GK~6NO?>AqU zbov^UJ^=+?-Tk(p+QZc-Aq;f%ro(2~Z%Zi1mBI8c5JOA9d&f;On6Fxp)+B^6i)vJN z43pQ-Zk@tLi*;qyFu3G}D)xsB(mA|N0fw%j$F zO=i!Bf)24pCY4h*OX1}+6yS2a#23sFZ1KJI+^E@`sVXQc+Rw|)I58wxHLaY5t=_M} zZrUI@1_S4RwW*OCV!;f9Z9BdWl-Wcq*4&WN7F+d3iev3j@83x%2HXrsgBtKdDk;=+ws;cmEmO=vsI5A;9}1q86?Hy&J4`b?0ll{$!RqOM`3WkB;tvAo$~6 zjsIs6+y9)M$^C-qqi=`}dOO>wG(r zMqTTvQc7-achGHz0t5sEh6G`S7b0Ls|0J=NX{22TeEIUs&(DuM$i)je zdIMjm*=%noD&ialep{il7=C?y4OTtIeA;d}Y$m=L1z{M~(;iS)Q!mlG%^vs(0{=z7 zJD(C2FnIXj!2{czAhQe)Q*haHaBzUAjh+(h9Z?aOF8e3e`j7O<$!%xB@IB7f3;YV6 z#(rNRPGKGzDDSwpa^`D z1p>D3N*3%yC%=XM#=v6#4<94IryUr`Xvv_GGR>|&OI5D|6YeOGWz)}x?>JQVqWbgz zz%_NfJM$31zpmvb;kPi2mX*8;`Fo;~`;SP-4){2*d@w$rI^JNz{|!XP;j;V5k=$22 zSymnLO=+lRQ}*#KA_J-%x{G^O2DYK-#GGrJn{gHe$WQ&?EoK_qUF3c@w-<|cv(@N8hWAMi=&4+G zClLNdzV{*_sEj`L|M>A^=H1OEmF9?L73eSO9M@5tZb2WOmzQVk3SymmE(?6Et#x1T zjko3`2Eh3N%QHb8a-ftyz0PT~Sf?&lCROGK*Mj>h=qPi@%mBb1oDWQ)n`ql6c>$=3 zlG0Niem79^0r@}Bdgy!6(An7uwr_6w73g?fin#;?ZjZajY3&gF!DYCUYS(P=ISvEN znyeDi1!Fu}*y!O-KgTU&6+xWvG$dR+`|#Td&2$dLH5Gbk*23KY^PAG~J^4L;yN-ju z8dr7(qxDT6o+0TbPjL-Ej%MTB^@r zKY)kIg+$j|O1_i1@%CT()zUpvV|mtIG&}DnvR@<(@g) zH9^(X)z$U%$X@9;dxO}}Yc+yv!TVGe6bF|AFe5coEiHGzX<6{xeGQ5sZU;JM0$N4q zP|!WW_G@0_^(}eoFv^4eiU+Lk2*lTO2c?TEZ}{l<+b0*`q)GYKxq`dTYBDxF)S&5k zjQQ>aD7D_J3z^<0PXL)rK~eyIJ=xNH^b55eClQxk?ep7jpiS6IcUu6L4M_7hKkqMr zxkk?W^6Fp!&HU|u8pz>^iH!jJPGRUs5obY9p<)t8sNgzBvmf%SniTYptw&pX)C22x zf>rwlnpxzq&Ss^+``UIvDU(Y9ujsj+{2J zkCA6`Vbt`2{|Sn!fp3mkeD3$}2;kQ`e!R@DtaJuL0690H*1fgAPn|7G6!91US@o$d zX#Ti>y=gYE!ckUM7KChIV!f%Lz{=QHBsS?>D&&6Z66W)`^KirjDn}F)$UXMm9i8bAtHjcD>ZsW zYF;4N7YoBvd1}-8H0#U z!kzCcjm7^DYkwV9)w;cL;}cLY2m^ywDd`aDP(VQ%q$QLF>26R247xi+q`MIWMd|Ja z=?3ZM9gBTD-@VT{zu!OayRLn?ugzY#)|zY1=efr{KKGb_k^j^y&}Aj?t_f_KW{+-B zVsTKC(Rth$63?k$w4ldo@juH10U<8rhhD31i#1_0hgC+CKYjY-v{F{bH8eQLt;NgO_p)TD;RM&)LxMS8 zw)K~JjD^M*TVGX-Fo zG9B!k^h@x)Ztt#eV%NnNu&r=K9Rny9l-!I9nu?SqqloZ&ewnK?Ua@R=Q&r_%Qhg2w z=PdF!+n114YGW!`+Sb~-)L9#B-*Ig>#C)}K=X>r4wDXqUp1%|VuR0>n*C>-8Cs}|~ z%^l0g&Tb1mE;^-b>tlN|K1XZtzE;d)JwE@6NfHzC3ZDzJGlbIz&a<4#?I@`fs|{|E z@I^{Go0CpnPzhOd=IXWZO=BOu2C877I)45?k{Z*G{xKdwwsn18z@=pETgz$DXIOBP zhTXetICU}X^YwQWS04oie?D=p`*bjR)1v3P5E&vYt=g~=exZiS{(991K~;y0Y5wqX)pe7Xb*kK^q4N`k zrG>qDiq8z2tZNlX7W)SM#2+o|eNeE_e*f%j(cAIYH*d4NpngTc(X>;Sc*AE3lljt* zot@3d*_q*Bt1+iw7A9CV{gmlvHuhl4dO6Y!@|rQcX^6KGMh>x?4C3Fo(N`{$(&g#t z39SHMQa*0*7Z^36I0vm=QBjeekzvD45qSa*49?Aq{&steG4NaBIc&2ADKoy<1;-7rY%z=y>{)s zd$KqFYw_a>$PI;bb40%&Yvu(e_Tz%m1KB zF}NW$-LTBgYH_0Np-}wI9l?zUsYJ7Q%;B1Rdwbf!;eIh&{70P&iPwH&ZCPxPYsdTh zxM--;2^?)*jD363|73n@x7wlY5xV=g=Z*Z%A4a#FWQD$;srm66?P{HnWY&y;rt)D0 zG-K<02!aCxA8Kfnn*XW~Bu4_GqoZSD4oj+zd_&w|^`F}A1+RHzI4WL9t;~`V`IMX- zsQ&HSx2eiyYiK>gNDDWRiHJEIgzD-Ca&f`ISINjgf3)=7 zGU{~ml=Y5u;L^dy#ibgWdMLP#Jr1qK8}!O+o#IS^>dpRl1v64Ew+!at`zJ4&r4a-0 zp+L|2=~Vun<2$!BB!c(Ku!&>TeDkKC2NTYtbD;RP|H3;4kbl9E?A1kf$c}Pnol8RWMo`d& zjQf4t8_a`Z~9b2`~8wd^+4IO_u5qS zhuQbcHdkf`>=I0d1d5jDlTKVe%I))f__-h~YJ%1Nm6PWM^z>`I@v5Bn*56&FF8}BP zpCPqwL4{9T$wrE=W7TE;Cqgpvb1E@xowC&P7}pLmxY8?aGH1G$iTO{?S}Y zW00|zE&Wf!d2UXJ$36}-@g+fi-A1&%_=hHa(ee7IZr-kFZ+BkkEpA1`>PaU&UVUIuZo7rZwAE+&(YY$oCCEk1(U7(i z&;Dk>tW@l~)pK8TF|>qOjW;5C!N7&F?e~n?Sda##;jfN>xq0km<{u5tB#j^Z!efsr zY~E?~O-;>o?c^ESF}j>A`prIDUFb@|LttZwRkuNN1~FskHuE+bf-@CM6hEQt(B%@B(o z>MJZ{TDo`3S^mP2oPtTRNLJDo%n8b7AIj~<6^g00CuzKh7a6K{xOa3ssd<5vox#4J zE%vd3^`Ss$pWE#(n~r=4Cl?nK$|^Xh0Wk}@szK?Erw>#9Lk18tFQg8M6f0*+^S>u66d~?brOW+M4|Y_pQh) zKNzKBxqp?l+GW(zH~XB1C3^5HDc;5!&jRn}Bnk7I(VtpYo8?rvV?7*}s*5ZVVT1aq zV^kg*M4S{I19Wn?2qy&YKJ4qRZii!y-Ipk-9e>pKHs#(PqgJfyiv%`fDRB)ASy?p1 zU*Nd3XZ-Zytvh~sQc1gQzwe)NLK{`ck9+ugR?MCE=*G%wwV~8OuSVt3Q}rgvHP*a7!EvoWHdZC~)|7uD(B5tROr!@>Qz#L3RrUi=TMDlCqx zv$~$mhsV2YM|ybF9PaJ-*rG^F(zDyr>E%(RVeuyg?t7QX2gZ{Jy{6=-AV1mo~!R$`&-RCo5=rUgt#H$*O|7#bt!8mA3J;gJ-Fa8T%)WN89OK_xq zb$z75#j;CumZM#^p7#?A2IIs-Hizzu0=Y5Dn68P4O|!Y`ksi;0QVdqJ?^ z+!;dOTB+Mx_*bc=KHXi|UUvHY{3feTJ$Tz-3mfO0x`*BOBFB!eg1z?Y0aftU=TEe- zcu-M!882?_gH_`3Nvw@`qZ!ITYB@OJ0>i?3_tgUf1N(9`Q#AE-bpw4tfl0^lmH`S0 zmff=7-09nAE~QRe-`>7{!SjOW$HZ^W1S8&k&}#-`9fpNgxShDVxt+kL@bdH=`Rd{{ zRUhcK-xYu1!UfxvVFG;oLi^tnXc(CI*RFM#ZEkMz+OOR@vIJ|{?RX;|3x{wM?0XDE zhc%K!>QrCx_3%9j1>J}2f}OX&9~K&FSftAHNLL&v6)Xf~vR=W)#s+23%zdNd!&!m8 zo}R!_svzNF{;`xe#|sFMl04;8(C-It92iBg{+3&JPd|kWe2O5kWTblX_iGQ2%F4>7 zrlw{5PzJCd#Obfsq1>UmzV2@4-Cy1mbax8kIyttGaX1|+kgCp|r z;X?p$;4;8+7Y}DdLsV8c;8dcZ(E0iPnu>~wR$hc_`2VO=#Gvj4Y6VW78*%4R2Crjr zSR8Gl3}91I#rFw)<I(qSFwOcq}z zIfr`LCCt8KCm8@IkX$$hPFPTGp1bWd5%5eYwF@9;3ya^-t62KibI+UoH3wk;89hGr zxBo79)3X8R{Q9B>(@Era0=((p06g)DUVKTta1tv#KuZd5Ar;FAF0_?LZ7Mw;pYe%GV$miZYDk*7R#cw4N?0du5N=GbxP*q5a`I!+`n z7@M7<)dgV<0?<79*OgbP{n$niT1w9RRpLV`09JUEjA4K~kK`8Cw;gF5mHD0xr2lP> z?i$Vz6v8W<)0xlDS!-p*%s`rP(j{{gI8>3%4bXg|$h$r1Sg1tKonej4?4wY)@{WRq zCD0WN&DNM0Vx+&=gox%g5g^2Xn9?B>6co@T_g?BWDguM9!e;S0a^}pLOpVHYFo<-t zXy1Rl&Y=3Ey%oMWxEAZPySwGN-GQ_T4G9qz77hqM*jYURz!bT~#l=NK^9~=Zp+Hf% z9JRbQ^6}f=oWBb0i%^*9r@KZ_g#s%%RSFmXaGo|6La&mqvo`+C`p~4dYrlLXp4Vis z@H_$o1s^lwdi049cY;0`(bhn~EeE9H`HZ(FaGA=F- z?2Ql53Vj0RqLG#s01k$+zmW&d&b*Ig&8m)y!^8W4qkzr=u(aBas{j=N2n9CrwJb$( zG5Vs7pEop@pe$UUYJf(G-t9-i!b|;mLTU1h%DK00-+o2G0v$yt0N^P%KKukm>Z4R& z_JQV3-911GLdA-p`@kPx_59mw0CS@#6tD+pj6X;GEl@x-PQ?|MsGtLYz;F0gK-$rOCg zG|L&Q=;_yU(Z@v|s4z4|Vz|YNj-+d0IS}wz$icN?u zy$v1YlBe>;g#dIwi7y?+W(YPXZKx60K42feNF^gA(q(rL>4 zt@5&syW-HRY^q0Bk?O)%kKORJ2kj2)jwFx>Sy;&Oec8S6o}yNDf{?C@25eEy%@Reb zB$qA)goUx|w-V2M0^alqRWR)R53>|=o|Uv3=cs16t_4U?ZBVz?CnSG$Iq2={t07bO zTJF%}wO)-<;UGGSEH5o(u7mkkXw_q5@n>e1mW&k>lQ4RQbezYrR=FJya^lbtdkN#+ z-7`6I7mo#c;i!Gcz;n2JH!JYvwa7auji}VadzO1D=O{les$6 z^#Ci~PS7LlEYk3+Rx{Z+5hJ8qB~!&x=;+~0GVcBC&U_?6mkyP=`)T%brvaN-a;Mbo0cF_coShGWCYRRG)7S6%Vrgad zR89^BRos!iiw^_{f@&N6+uP}Up{)?ToT*mE3f(sOTX>jJzB(Miv9Ylc5u*FGASlAa zmGoP$KZk}hjAwUU%ql_LKc+&j=RNq>7Fw`CK(OO7GF)m=vk;L56pdsow+)B^Bthmb zcjel)Q}E_(H*8F5yiFC7SFTg+ivu?m#R~Z;3Gs0<3*(KsroY*Rm$lW(WTddozSWE| zG>nPS22F*72l2kSj#n3Hckp2jX`ooLj`GmUoXYF?_&{gqttOB%z_!gAX^g5?aL>Ti zAe4sjl=UOyeP9^?HiolJK%lC=UUWUA8e#_k#TqK!qod2PaU;q<&pOfvM%C%on&^FP zTYd{4T3y{f1o!G~f#` z=r-)+-M1N}PhgEL90e+Xp22dx{hg1Ggt+*#3j5z49F&*Nsi~`f$#y+}r&w=ViBi1$ z!vbI|wA;XRYe1-%y*^p6^Lc{@gG#EbI9>$=>Yl@j%3m0B39xSQB< zW@z1>OYS1|k{*)!7BdXvwnN|{elTuuR?baohm^x#&z0h{fGhV9{zkv-?3 zL%D3#qIB`a60#3J%iSCZ^w=wKNpv$7+dHN$VBf|F_Oj_NJB$o^UEA31Gt^A7Hl>F#4$59#jNHH!aFyYd0!Vg`-?eM zxCqn?ZofQlh_0u|rGcGo4MCT3)r0Ul2bYi+_5v6KrhMK9EBNZa)ur5IH?k}DhFvI) zceRV{949v!q-F@7=_yyKO&_b)(xzb`y;-!j0s0&C8>W7r<1ds^+N?!Tb8bksx(OTo zb)amd<))XH8SpOv*aoS#O7#4)?(Xg%KZM^2ch1nVB#HR*+pmp-wk%X-pn2!-pK^C$ zxnyj6eO$4XDY7<@W=-B^{ ztzFBh7gY91Cdc|vYe?Nqn0a4?|-QA*z5FUAK-g( zO~ttX-x8tqo?{-g95AqO3mFFhrIAVjEd^SSHWbimxolLkPcnM(60GWRybf0opa+41 z=9V3+tHVOzbkl?~K~eGgjT`zlCj3Y#RBM2!p^c-`AiNvcR)=8_2bcvxpCT2D?hc0n zpv3ks(0>PvkP9ibT_$wV2!ogShe9z{H=XB39>CHIC_j{IZs1DFP0Y_nMn^wWQ^Q8! z#J$O)CA_$Q<=q=DY}F(*!srKMinNwxuQ$XAE+X%zmg+EYmW^|Zf`}FvhH@gV_4Y*T zo9$T5RM%49Wxsg5C%}ljRYwq`=8=lu9kQsS9g!us*PtE(#_qpB*_NJPY7 zYhUFHg3q`ky!Y<+#*ueNR4a^Bu_q`YUpI7%#;^+WJCC=Wrb^P$vAFjbm-I>7C* zTvoLUGyt$kB+3LtI~Mk%9?BW3%WOSlZuB=Lsuz~V&9aJX)J5)y*xS)knzL2Lwp3-H zAu?=ehy;+^C*7b6bsyasmow^301qJs8Zjq={oL@0G#Ps;~^Jj9b1uHC% zAheB&xM7iEU@(F1ykc-VM0;-B2*3ZbHzE|;!H2L$m~JqTkfe@MY1i>*vs+JWYlf7} z``U|{y$KcgZFX#7SNTu9a@7h2O~hq#r9q&ApPwIC4#!H3TbI`CD-H^Ly>HB0Kx~QE zZY3rogKp!dKCU-3p<`lWlai7i-H~;2OeZC7xbhdRb98i6Q&Tf^@3YZddm@+zg;M3y)s$Sl7Q$q?$iP5Zb@i;S`OF#5HohG-xS9d3 z*J5W8HZfU#dzl=*#eU;$STJCa!sEx7l_f_QJv@mIo6y~-%qMf?irdk|7U+BF%My=o zZOC~ON=qlO;V%Y1Rl~|QbjP~sqtnivT1bzi_6Y_cwO%(DqN2XE(uZO^fKppRqItB^ zX=iDmtHVkdzAzhA$MiRXiC@0(4D|jHI2xv=rhx4Ou`Nn*!BY$BckIxM7cPAK_^~%f z(~OO9+LBBCtL3zqqlxyqgjzKD7>~LD4-XF%h?@*B6q1RFDPuNS<}RuVD{i=JobVxHTF@csn^!aMcZgM+G;jIcjNg0Kf1 z{)t1%hSv_&ywLH@VM)@t0&eu9dXwG)mdp?X7csWGgvy2j1NIj%MB?Uscf;~@DdJWc zt>S$X6{QUsPbMTb9x{YtxO;nJA>iu_u=BzujCbya{0dF24*_|oSVL|x#Ag}q-hC^@ zdC7=@j!v8^m_fa~d-N455i5fA`LVFN5vX#owBcNYs}875TNSPOc53~?ft zA{9*l2s)KY0bEOI3p8<#3uz!o1D3(Ef%pyn_3PzjWgR=M20)bQ@H*`*8vf>e4FNTD z42*fhN)R|(#Qy^J2HdxvgrW=x=;!_U5rQkv5gr-&MDfOFvUM{CKE9EW5irdvTXrCL zLk=)Tl0W~#W=G_Zn>kdA6HsrWJxJ=PI9zX1w+=b5*>X_Hw=R8Q{1y#i!+$yIN{Sdq zKRHhfTS*vw^UG2U^g4~o7HXTzf=PQGn)u-Rjy+qa#ho4)eD>+ z%DV~T_~2($@&`KdH|?W0$1>N62VCzBca4;_)YtS4-LwCxwp|y9_KMLjC1XLOl2Jb! z21M4+fRPVWc>e9{AI_q`dYqKE7A7(XJ#5m7%XW5l{8h`ETG54V^dL#;SZU|NHWq%c z-k&uqSha1j8>l(It6m(@wejjBrr1es=n$z|Yvb{;+x+a8oX;VNuK8b@h>niF(4xl0 zFF$uZkfykD{tSAgL@!TJIv9c#$NP&Aw&ru%riVMA{A`KkK>?YSHj9dag5P7ftVHi; zDSok-d^{5>4XKHnSFZ{cKWp=43>1arcZ2OBnUnZ(u*%PQUl8}OCWj^-oxe(jvP9_*Oelk)Bv$DlJneQtDn|7NdFrf)a{O&Rmio=ZbMITwkp%4ABka|P zkh92>+n>v7qEqhoExZ`H%&(&1Wg2fB^Yv!~uXYo5Q*7JOlz*-#`a3x$_T;HSt>~5h)|^EU@-LTbv?|ki!&&G|3*H-~Uuc&F$U5 z{O7^K5B_akU0n&Iw1h-R6UyY++1v!S_x7XvC&)7+0chZWn{g*FB1=^}?FizsuxCMB zc4O}l7E@ke(kb>3_qT7~LKp#XYxo&hP|VZ{0N(WCk zft90H_OZt(ax$LJsrbRIUC5a(E-cKn#S7Rh$Op*}ELPAz5vaGDh*XqL+}51Z_}V15 zsNB3Y%PV!?KskQOl7w^3GV?gn;D`m(_UFyMMc=g@vc0dZpQnRURfMn?r7V!=|0k8U zh~{?Do3o9tBWg-7)dwpT8erSm=<)w}_S5b{5l}L(Lhn6-CHN6|DfM?szn(rI z02;l-~tR>2f_s2 zSXU1%EiHFPsWLsLI~=8e@T@Ox#-04K5R+zaCM8MW!N>YMWJi`Vh+68U`f3RIFe%syULz?FouPsfmEq*Vu zFl|Mu15n1x!ui1nxmPHaQ~x|%BjM{;4XR*Y5}vT8>Cvw)(WG>c%A^QxfYfJ#Vn$!q zv%a!g*fEjagM;7>`PNp39RqlK4|lFa+So-(#LnM03|2Kc)`?8s#liFd!%Gr(@ExpP z54LcBOzPZ;eYPUS;Ms+>NVm|xN<7{BbghlL`Cw=;Eve)r-Ioe^``g-OQB1{i^ybo1 zyQA49e+;DLuF&jjm_E||C@L5=uzGUxsghDk-{M(xH2=CUCraDDY`{|hKpBDF2$p*N zFLTJe6%<%mTNjE_ET~Ce*|Ujf(S8h~)8D_%9SvjdKn;62L!K59{kJf(()U-)@cr-s zLho0?o8Tg(cQE6~#jjFh^nd@Jkjqj>R~J?806YYRhM=uYjYAPMqD1C511`O&&w(L~ zpDhwGLyOD$-q&E_oP|Y`hW*{J#5EfRyDLN>Ttsm>j%jr-k|ca;)taQ_=qA(ASdihx z2_Z#{wrbIwS11BSe6uOzhpv%eB1G?#$9jrmgCn2(!@R+Vi5rQyhVyAxE_i|;uJbIZ z<8G)JkEf0kTuw0SfF)8w=M%21jLfBL*NPw-kklc{9dmAm_31_b17@|MOCnzff-n})%y&2Alt2^>7qOILHk|uE+k+o!Jvhi z8}BNN`Q9HUax(3w@xcqQjk&zq88%-Sp|(a6IKFRpwfJ9{5$CEw$0n2RBapn6Q#Cs} z7C4ltudPheu^(cvD1F1WyRYQh2f?2w`;)R?P5QV6R`K_wu7jkZVufAn`uOX{b6b}G z^lKcs)INV!iiD~ecAJ(91<>&*C|JINm(Rm`)c?nw*>dfF+LKX=(j|i^U9z>cW%~|m zK>eR?%$DmP74l$55*=O;&aMwH{u-g8gTX0NX$MgU*oLL0rB^@h9{1!@-f`YNf_=y&17E4`@1+m ztBkq0z<$~U>B6%;$U3!Eo^>WS)%S~6dTsq~m^n%5H`RsT6Rh;zTNVJ7d+D4Gt4hw3 zbfE43Y_>1(PB&Y0cW7Hy0oY6NPBu**h`MqpBoXkK!4=qFhV`bop#crm%ZTN52%@(x z&}j&Qt%gap&;V>Rm@R<*3PGe|x$m0}b0W%LY)w>DB9pfn67?;q|8!4;4q;KVnrXgm z2COi&Pblb0=+#P@p&1$yT-G$Ncd88PK^X)$wDYJ6{JlleUH&plsHy&pL)6?}3!d7< z3XK-ztODluF5^d^MII15KOh)oq4|(lL3GncMqb-B^V6lS;a@G{bp~6xE9c^0L=qwq zJpB=DsW1|aMBhOmG#|O8XuQ98^L-nXd4?)v@l)3o?YbOLW^u)i64OUGRbn36cpCkt}ySx!C?&}jS1?js514tQ-8w1n;Z?NFyy`(rs{5Sps!4K%&>cbbQG4CD18%n;wl=R$ zKv?t&%;CLnFbe~_?IouMl$5o5C|D$oe_V;DXoNJukr$);tt}`oU~+@)`$lk#)?s)}d-;#9 zu6rCDC8eb|5k~mVwSJsK*&yJNP)WtuZ_af9iq>V+L>sy=TxKQBzefT0S_EhvFa;G> z&IY-I;`jg6Uzy*%Pl!{QZS@j>Po1qA7@Pq zJ*$%^(__D4DxtLW@Eo2MVZ$1)_Vn;1?tEr7!9Dx#mE+7hE=^hDX#UZAl^5!jp`V9| zC0F?dhLaS{y$gQ15hJ_nyh<+-m8tcMc0W!vPMn}NX`xIpvaa05|AqC}ossIA}RDDTU`;=$e? z8Vp3Dp@HCdA!)fTt;vRGc?LRi?n*VoHROTGQ!59PF1{^>P`kH^L%)7c-uKOXBoHA` zcVormqf;M}@UgXV>yRRxXUC!@MD!>`6fO_V*x9(!E@$q^n$5`?ZbE$6aY$2qX|91V zfQc-5--1>6yj8QlR;}&+p44X*F2v;G$0qrrnPMbD(|e31bg; ziq50YWK7DVLvOiKvWe#``<~n4U>x$IIHJxHs|Dg3baOvIg(n z3MMoOQeQ+7@klB!62#qg9C4G??vnK z-fP@!GJK6=%-tVG60|9c%EME-gaqH*u6o@v8Byy=I5$c!K20L`S93?I;mZuVfB#< zwTt~<8_4(yB;*nqdpe&|;$MK0yP+785VWDT7t*5tPWcA;o*EkVj=c7^w(J9(785^U zaEQSE9618(qt}4)M_{Ajqt~~zNIrRjf_&czC(6J`m)D7wpz-D9yCJpY`#4FBF{KHn zo;=A(lOUxqK9U$a;#U1*uK4~jS9BXjFt^vAw3N-i5^vG`Ida3k4JT#PMGy;dBsUgl zDUgfn4C)CqnQ{1JOsUyOaQ*qNeR-<^x`T_jKyb3XAHEg!R^N%$fWV4c86|PT$og*3hg|rlS(TBxEL_{UV19HmB24ew^$pHZY z)z#Ifpw%T*sqXoRnQ$1qqWmju~Sv)g(l#g`7I@bfB@z|iPU;#0-w(Ql3bu3hZ& zqufyFTIDBL!YK^BdE-t!r5{}2G(pw#^=NyD-MC9b50BaFAfh+UI5OULS-8@>V1C+T zW+QG$j4ZI=TYFyGQ$Te1jKDPei{6M1*rUx-{NUqr2yXh&zzkhZMNm|fBeYc5sTEdZ zY-?%{uROHx&wfEYQfA+|5P<_?CBlz+@`fZnyhQ zxZBEm48DZFFznL8O?kj10&w7tZ&VN7dSOMc&Gw|NmP5izGVp5CA9URJdUz+ z!PQAQPS1^(mxmd7y%_%DylcK6roj33m!zbqPrWK~e8 zLVf1MW-Vx0D32Ot#)AGB6*vBERNMsAd=@YxP5WPGAwMRc4qrET$vDX0lvCp6Q{`mT zcJ@3DjymMA)EG5^M1lMjfcG3GgPSl5D?;Kk3fzIYZel0LM>iN$b%3X>lZ4KynAn{y zsB%RqR4eTB1{~0;0h+Y3w44iH*6h_=d9K}=Fw2MDH?-oy z{JOfDF0RmxuQ2EdWe~JA)XqPPX}-tan%iBpew^pVRj?7K^N7v7HsL%|UOzFyOqe?6 z@0w2Efawm0JiFZLXOr8lG{wWJoYkq58%TxVRnq8~+F$Ev4^m{OPfDdIne5png<)a* z$%oMcR2EEw5ln=ev*s#2U=NRoxEtPt3hBaj73_NX&i_y@&`E-8B0n%HN{p4(Yd;Ls zl6bOQCA7&Pi^%dw7H$N|W(AO9%>9>P-=6oET4;mw>s^yLbo;SCsS7|Z@D+6~F2I^z zVg^R8f&!pv8OQ^;HIvh8h-2u48jz8Z<oWEh~K(dIgPX;m}D{!U34j|%`J75jWAYYH0zcyUg{x6GMc zT%*D*d{R2|gD{IIG@KaC8)}#MoTK&S5gFTg>Q^aM%+IYCzt>xASVwu?Q)y~*JMep$ z^MQB=9l$lW@#&=aIG(lQ?6lhk{cLjm0=97t2Ap5arU#D9@&;m#^EL?lZeCtkucZ@e zKE8O~a>Wp$2{Nm;ZPJ%jc>moxlE~;8q@j(zO;GcnK1cq`|0GNzQA9HqmN$S4of#p2 zp(0+kHz%Mo*4)y|HvNUXjW6V5m%>M6|fy`8QbpiREwKz z8T(3E$=Ufm>2^ogyn16k`lAj!M8;-zhd;3;J|{S%q;So^V+kFp&xyajbVfX0sh-u&bv8|^iK39Pp%wzZ3kvj!qus3tb?eY(gjvDS#>d%G|-GPoPpbQY)2B#93HAU1( zf+RTEsoHH64gl?pm_yzI#x<6=2!ZU{78Zn<4vaLRpximo5dXshP@=qFXt<)ggG2`- zlZAp}3YI5gTyJat>Dk$5r)NhloIK*aL$}rA-u#!`GmMolvPy7#gmDo;_x#M`OOKcv z);&FgNq%nEHu_BBLTyLw{_Fv+kD2=1_|l8wj^=LL7~OC@b%DTvxSD^ey8Fc{V;ZN| zN^gujYz|~(@c${(@fL<(ut$TdfnKI| z8WOu`IbMwhEmhF45Q2l1>@osfTyPJhr2LYSCZU%#*H$SsD?Sk}N&zN1<;KG~>z2uH zeVHmr^0fC@Sx@t4>Wj`72l-@oz!1ae0_aC+1lI8PmcKStvhb#B0@0&&l0_o z^BmE}HV?nfsQGL@r}QRr3(fb$m66j=PHQa-E3umER+;4EpVM>QR}#kQ>eicH*Jprl|t;72RDE5`Wiw+&5ru5ue&=TkJL; z2iz#=RP8m?;*xN)K{gfERCIU2#I-ep@B{A?PPX6|7RpZ_?P>DkUL7;i3vRo@i?N5HdS8^`ow?YjU8Vpn&JbwzTIk zHP*a9#AgimFF5o};WHY+sQy_+)IIw32V@SIFyoJtsV?feuSu(<+ivA_#(zOWhoAH5B3Dd3$Q!P*Q=~{F@3pH&*&TM>go{v!HP!zjujbGZ881A^q4>S`qgyx0V&l#O{?;Tq#_B)9FPfxFy1ig z8o=H*yaqM( z`1tdJ?^l&M$AWL7uSIe)ixy8QZ<=dDmUXM!h#0)?Xv$5c7i4En+zqEL2!oVdAGw z4X0CZ9(m>d`?F)jcNb?SCuYAdJ>*B_#M>7Ii>-bG^}k>U4i@w?dU^0Kz}+$x%0UVF z<>a8K(Rim7F7XX7yTC+^&wbQ#ZTdypuBJ`@Zm0F<*$9G{ur_vbT+*Vhb1ad;@PC~- zp}PAUu(QrBcRnj}s;V^EVnA~t(Wmrw*<2kP>N+lv2Hb$_WaHj5T-BZ57PxD61us07 z-^5=mz}izAbz0>^P_t-ZPM={7jP^+7DH=Ye+rx-Fh}Iy@&VcPAOQTYiF9HAqew&m$yAaQIpcV<>nGto^IS-S9)Gy6CDSn!_=%B%L)QI~o4 zNW9z^JN54JM;sX{-n@CkWi=CE@>l;Z|KmlzV4i`0p-}`2_n2R$rAKjF9%d(z+dbFW zkeI9SI!9f%Lq3GBJ6u*Wl`V*sf{U2G%EvQ@AP}7jU>SB35)StCgdh| zE#65_HY4%9-LlO$ZOO4s1keO_8414rf9BhB-EU0MKw+UFu&_&&m>+*v=TP!iX?T(5 z2JvN^JXN=C(&M;`YWXZqc=0;&&4+JleY7izydA*P5D=MInSIGPPs)(oIGy%C^X+0ZPVy#Gv_=mz=x?&|5C9$Pie@f?lbBIR}ra@aRNW zr{S<-=M|P3VN4Ihrfs?}+hK68_21h20qc0IOe8!sltkd%->DkLh7g_qhM7_4iJkQC zIG4UnOzlH^w;9{VI6E2HhJ$$-yF+BA_V%2e%Mv~pnF%F%s%Qp^O5W7y{jA$EaS5rz zbUbk^*P7*^)Lf-8Jh3sr5x6m9yR=ny>x~SawY2m#l_lU<|KgBADcU|G20{@Hf%z*L zFLAkf@t6=*hir~rqU%;l%hs8WvMZh@qPb7J?7`S~D&lXP zrVA}gp&N2L+dMwoDa3z+xZLlOf7Ile=An+C@XFail$y3no!ck3?xx_yNy zX)3=#`z_=a9;t0>_Zxn*3RViLa%oSAtv$bwC$3LbRUWZaCI3bFB-LNOb6iT4bnk(i zrUw=o6=uX8=heLw0q*Lxh!mP;oGVz$tFjrV_7(OTGtN4jNt{%cpElvsN3INDo&1`e z<^a#l-^U@#UXMC*+>^y2R|= zb$!uHE0fGRxp;<#H&xyX72~+o`Et^?*@-Qw1oS) zz7H6UtMtZ0G~;KFZPbu%PcRIgGvw@m+5wGhmHOf4NeozxiJi2tt_q zW;eJtW{W?Oe<=_%9qSc4b=Z~P20dk9!O@@w)DIT zA>(6ou{2tlX;JNLGJI$E0R3eZ6eniAn(TGrf%@iQ}XgGpnu87 zm9%i7;q+m`_|&5ux2)-3T5F}lF%pOwN6~?*l!X_+b0`+9X=baG9A|xc{QdsJs;k8L zBdy$z;C=qF>QH3VmrD?hiW8Y zA?bmv3piB4X-8Df%U#r`04yFmbs%Rq1mbz5&2j@qwe{lzx`Z0 z9jUHoXAkL>Q%%oP9Z?=_pGSeJ=WdIu&ZKD-45*nlomq6O95q<#7h6AlasSLP`o=EQ zBiI!Vmx{W&iT__y&Pe$=lOP~~`UIQDuNF?9J@Wr?pFy@frKu_jb^R&Oad?=U_t+Z0@7^9ZS;OBJc1ln8v)> zyUXArux$C&n13jBagefX&`rZ*MnFR$GvGveFd5pV<)Y$p*Dhb~aP$^TOod^1+xF#W z#)d3*n~lYFzRFpQ+^TCHW!;XY*(@&B*f?n2Aao!)5#~+Ujt_TA zPcvabI0XFv(q)jy&unnQw?jcl+fYDO8h! z_qAec$>T>mRkX7o_Lvn2jTe6d!=i&|+b)@fenhLDx;&x2FOqojDZn-Fh0d2ev9rC6 zJdHfHOcM>?=-DqKK8}+;WQ;v(@`yVp|6O}$tCZ&+6|Do}4~{pnqwg!TiApq{?6fjj z^DsU%^@#JMvb%{kuGgwC&@hBumwdABC+bLlXFjji$mW>(MEh->?9}1z$Nu#VT^H^B zKy`;zQq&}d!xfJTa(!INlewpo%A5QGb(*#HMog2IkE%$s~JhA(_U`9)8Q&8{NRpc(0y^4cWt+__n!ZX?u z{Ho-(j!p*~w&T2230WG#GhbUqvN`-TLgUL@;3;3@vHRkUBU}Vb){pwSIewq@`z|Vt zq5C{fh4E;3ml4-DRPk8TnC+%bXw-t3uaN{_Ljyg*K`Z{Fz@@>sCh{)oD2dMnt7QJp zjE&^|JZ8(6#rx_y9ax;lh&@|36+Q}xh>ux`$CC@zGp-P%uKWYfU$`Je%6LDyF)BJ# zYNgfsMOA-pEp3nI$>Bb%kz7vaGsEoU`$N#=lNjBcMt|nC-rVxarNIz&Slc}p`Vq>d zG9_I6((TKgTV}3y(@O%3vSnCa#2h%jF_*RD=MYm%=S;-(Axc4wzEM$?DPwk2OA@X zBQDkbxO>ii=Mq<-SN1gONFOp>HB)g zP6E_4>9q{Wd?E>P5BnF^lVn8JdW*1?IPTo!O)AX zJR3@Bm$ANzUOk=D#^uO^L7w&Tow1COdQ#!E*(UpBVgu7?T78-B)~A~jcKF;1YNc6> z8Cb~AYbx<|`<<)l<=Ls_x3Ju!o`v!Ux+*S~5VRG=U+@hHOz)7pKZxl-V&#vn{58&` zwgyh?n}v=dcC-BC=sNnJs)`8Rjpr-qdrIU@X>Ndv8g5vQboA`cLzj%NiJ1(UXWR$# zY4@!P-~0l8+osAXh&E0B0`iBI`%+OcEG0V-wE93GX*4yX7u{XfY?Gi}#G-t-p^gBF zT46tl&hBILUxp*kRqi#DDSuFhx%WgSoa2Np$LwP!`}dh#n}r$XDBA9+xbUor#F0w# z6g~##Iwn6{d=aeC6UOvBF4v@QkYCE|HM>Vzg6xc+Kbj9W(w*gby6T^DHNGjd@`m75 zEKHvZ=WkvUyg#3PB;d3|GOB39fqO{T5Jaz1OwklZ>`?!d)M5gANQcuY;Ovt@=1#%$ zY=u5o21{fV$F8^*nk7DnmYWm5g~Q;vR*duM75eQD#`=yF{dpw*{eB`8&qxOkcIsI2 zwHDQU>n)7G#zP!9BWcpAYIfKv$8UwNd}kv)?xN~?Ses+V`n?b#p&>v1Aufj(k0-1{ zsihYiYQy-pniq@Qp1QouAwWvCNFxuY3N&6U#q*z4aMeu0Mb6~ODlrvWl^UyjCPwxb zY??C+n9K|Z)oa2p=9{)LmF`?${a`ILw@`FG_=+xb8=lr=+&u^OLv8Ja<5%( zpj`cb7<8CK;aSjgZw0_C?@Vij{7ig#HtKPn^m?=_69pcP%bd;o^ZL1CqF*7p8p8iQp zB!A4E{Sbt&yUC@GDe$N}?Nc*-S`F=+b4P6trFBHKUohI&t?ZcRDX3qg7bjiL?~u#z zD83p&_rQ9)V8Fyef*IND#laaO+281}xxdXlbUaDWZ5z3c^<#{Kl7)wwQvs*-bo2r& zVCXq39`XXER+#8)5V3jk`F)*Uugmd+*!QwKb^Xj-&qI0G^dw%V&(=MCrZ4`cdrI6@ z#qnait-f{`Bm0xPl0*z?w#n?{&O0`T z+26mIRVsh>3K|MARafVxm3|MX(=JoO+i7I(N?$-Q^S0|Roif!b`P_soET?h<+8P$+i#VE&vLqkA`J(iAy`#&p zV#P{0x@pGKr?OX>X+2Hw)ft2(Eo(bsbZX^{-^KE6cHM`4;i9#eQIWZbPU@(SnJ6ZmA`nJJ+v++QunS=TwyDzD<}$cw$mDhmKu*+9LBjZQGa4RCLG@ z>&M8OkCrDmg(JK2_pB-njyMLk@fA->U9A+)m)7DU3bnsugz;Fl_iJw_#zeV2dMbV6 z_B8#SX?#f!BLQ{%K%ASEJmN!E>Mj17HJRdxEgh)s1`NbXd)A~za4W}=tylGMjNz$w6TYO!2fLhzq6v!YV8W_KNGlu77hBfNV zuB}C3{5qfRWZk*y1}@5`7HTA5HH>}zw=IdjEZ;2 zZU&{6+DS?)K>s+*sjOYVmbbAvi?1Zh7zKDz=aCnGK^K4ONgVfNl4XHL8XS!G&#!TQ z`QsCLm=;uGhIt=H{xLtizu)U(KThVkGgt_)nTu80<~Bqb=uUS=$pv#CA7$?B>_E!_ z{0aqYmY9IKe;}IAOix8$wk;nuE4AW@C!@kWJ=PAA2W;v8`E*-+{<~3<{e8hagPJJd z_Vr83B}&YotBMr*`}5s&TJ>oD`y*?)hh+TqCjR%2jD?qZxW*#X?KG%#E^RVQ~EI666*+w*A=Wn7hZ z`=%o{*%X7%(b^@f2XWi{+H*87oX$=MoERtojmAK{qyzXW&gFSX!@kcC~nQsEP33f6#fZqji7l}6IDhps;B z=DA0Av%j<0;*h?m8OUH=CccP!?f!JJQ1Vqj5ef>5sW-CckyM4V$TwA%((b3x{IqpH z2jgPGXMB!`AB7a3c|1$8=kF&GZtuLIE;IY3ZayJIX3OSQooOAb==szc zFnu=d_D#GVYf4iObLpSO38vD_udv)(CK!*lT#@%o@t@Sg(Aq^}+HGlbPK*zx%~PVZ zWnAL$dP}H`F1YV%e|3B+AZ|UB5VexXSxQE_e()>i%4MoptF`f{@BUc`byC=eVw1^v zLGqi&h7)S6E8gu_OmV5?!)_!EKV`qqqA!KTyF1iYk|)TgZ=~h;oBN(%P8A9xG#rdt zH=JSXiRlv%D1C&Rqy8e}KEXh!e>mY37hruYeU+AkL=v~tNIGLIf{G21ht@W#S z0#c9PMi;dFIINKgXwa|hS)_mdQoHO7C4!16zMBS^pR&?m<%d!>P-t#k7)v2aCnjsM=S01O0uEdtnu2+Mh zTU~7A_}4D~dO*+%bOi|NV5Vd-77u&MM}+Y8R$igiiBqc{>JFOZTaokB@;>RnNDn*yNvx?;(n;we{05aPv_~}!*7o?XD!}-%}z9HUmYbI+GG7C zcXBj>aQL~n#B7&pd6Pm_C2D;oO%+cc{wSlDENQLP5W8L-pT8N~J*yw_>&xqxYSR7l zf|R+ti{f}ODJmc8;>YQ;>P>oIM?Phkp7Anlx|0y5C2}5V;9kiYw+mw?AFt?lf{3_W zhq=wBe1vc%F&jRWC@#U(IC#af`bmpS7OQD_N6D=mXBA$Yt*=@G%e9>gQDuA~Ow+wf zxqK%zq~%S~?2jUNU2m!!;vBW5X%74L9itqtIhScJ;Oi^zx4O!F?GT+XfAOzgfXU?E z0H)vaM_H{HTlyPxY9sPkh`*uVRcEKfqm37q*DKeuhTvyPAF>E8t0K0Oe^!4n^2*DI z=r0>j4+9=Ci9Ix}gu7p^GtuY@%1u|?h>c`25}$PyHZiT&X!f{=4nfJ;`A#yaTzuw9{tFj69~d}geMdf(mOT>C*G#h+RAq_loq3Dfw1j#{d;6!? z2s#Q1J$hDqNihIql6%7;ILjw72%x+8W3jOPjU}qa&3` z6HC7v6&9O&4M~ z;C4SWb8p(JT*Uu8M)zL*tSi#-%8pJ_LWjjGI!Qre$TrzjRArCG1h&B#0rDL6pFA%V zM|+povyitFM;u`mLbJP`bsgi*m-}5svWSuVf$R+Y_CnH}8FR{=*8=w_RVtVCUYpCu zXyqo>Y0oo0Xph3PEMXqlMj5r9J%7`5Ouxf$t5;*8^HphDo7~yQqEDHWubEb=GEgBm zcltjL$TD0ibdLE24yt^d*f^S@T$cnn()1n`*Qz>;|d@te7 z^R$do**X5))9Z3>ScYU@%dRrDJevS*W364gn*3OmBi+c<^gO~66Biu~L+t&1 zeOwYRMyYMPe`MT<>23o)7Kh?V7V{fr_4UBbY0`PyA`F~JeqteqS?h~418ug2nwSS? z5yjSx_;cS?W~UUTxsHAq3}ja8DVcENA4Yv`z(JhLeq`QnpnG0{79uTnoIONQ4_6sU z0f1}9=tI=LPrjOSG*zzanZRKe9+k=g@{%^5RmEA` zl%3*0&EW{2J~+pU2hej{r)}{qer(n(#`I4IUAnz7WxshXfkBPjN7^UX>D&J z=N6S>(?%rHvAbeiRe+4aRL$+Co+Y^D zQt_2?=biFD&KpjG+$iy~;<&ylI1^8CPe=MM&T!Q!LsGr4V=Yd z>saLRr>le33dsBSo1?On{82ZRuG|-YDXdQw&_&#<~pkM`opyJ_k$Qg&o zM~+Z{i!nhHly^fkYE%3`_`%6GPWtW$c>_iGVR32^K<&E3YE8M1Ydk$zMd*V zeC%vC=F%+$%dL6-u(yJMFz=II;&&sY#c`Y66*CTbCoXWm|T;~)1v1SGC+T7OuhXpwSjx7e84(A_*J}C zr4DmciELXyKwx`#eQLwOy>UaU_Yq(Can)Sf9$JK3uQD65ZP6}DX?&~=mWb;Bv4`sW+(H}@rInhFzZEUeS+G!m}RyWc0}n9p;^;uA$9{>w)5*SYa#5{%MJ z$Aix63L6FcWO8`O2Pa9n<)kOkWYy~%ZRJ|#Hhunw^Y~GSd&_+0kwL3qTCre`IAbc#oAg}< z`E1)wBXB<+w@>9D)M&-oYz7{OHTU6()SS{i`${8Qy-u0gGw$O0fj6#v=r`{8QwJN> z4HboRR}`eyRkuG!$qci!H7v;Aj(r+8i{)PMoQi?youEJ|ypozU4`^`zE_nG}-A8Vh zo~0OU&wjTyG%UfZ6|EXxu~G=&UE94@BI zUhi~}w?pLgCv%!SLS)xcdZ~Wi9@uSgbg6yLD<~gNTe+*ghpVKx#yT4@H>R{jwB9(q zXve=M9wFz1cWk5im+A2~?%n@p*d*K=PxSTYa45nI-9BUjAlN^+If2|*n|L+iM`r8S2m?25lS%4a zA24n`O@Zu?sYp;1PiJX&M~fRUT4sz${}(x$nS+82Ke7(^zF{IXK+VhIs}t%obHOhU1Gy=a7fOxaNUX{+=P`nQ(v` zJP@XHA6ea?MyYHkge;uoPe zF&{sHx7Re>CJPD88S3sNU= zV&qpc-%DS0>T>Dp@95Fz9wrEohyBAmgMw!i`6g*e0Qy+Cb|lZI^lVO5&Gww;M)y#V z^6%lWk}=Kuo7hP+SrY70qdtXp(#}U{E7v5fhI|d*{G@%6VOE2!%Z#p?OXk<*O?s=F z+mBZ6$8|0kQmIsaJEIPNF=A#X^rWj!jS%_tA(}+U#c=C$UDHTA);6~fhQ#DiM;}@4 zvAdZ{e|!cYHcvIrGnNikRz!LyJvl#iv(kKZbCJnqPuAnW5+c zJR5~&s$5wu6F1eR|2xX8o7*MjeEXSpw;(JrMj@fj(E87#{mGv7^d6G5(I)KzFNV%A z?I&~ITs~V5bArYE*phk5rd}=b=K0ma-#aM>6qHdRoV^s6A`Yp_{=eh-tqWxILGm1L zvvkWl^^7PE???@^i0IEmZF|NX5w***CVhJ;fN)~+img8~C!~%ECFnap&dN)LiG%$g zpBSGp7&4gBwcrfjPCu?Sv47ODKxX2G$0#UVex6LwGap4J?DnZQ%fc)n=v&O6#|Bf3qRO^f@Q@rCE>N zd;IWyTFxs3@!nCMFgg!aK^pBlscq#=_GYE z2b=7ATGnJh6ged}GE`->S@Cq3<;fP6UhObV`o0eldi9V7MOITm;d_oC+V+h>(!|V_ zNpD26>LFX7ozh|J-kY&J&rume=VfAnMM9IqRs+mRk-AwL8S-PswrB+TZCg(BMT$ts zP0wHs2_b9!wNSw z$YIj=AHuZssEIgR>N)?HbD2RZN8XsU1iiVQ2EFrz@aW?Z)!JHopui#$%8HTcGXs44 z^b4O<0p$JfgX-S*-GA7Owg^)16x|xw4;F|qUG2d$EkD=m_5s)2_tOHI3SaGpZ-!B9&1*e%sj ztzYqid+0ugFdr5r_lMFq7csxBDkm23|IBi-rTN!sH_ccIB%vqX{?fh=Bm{1PUMy;s zM>GE`$Sk2aHZ8KdJd2R}t;ZyXw2P;4#Qd7Z$89mkR1lwR~O|ZF63nt{C6S49$g9dI^0c!xtP;4HeE#TVu;5Y&DtJyeizVvR`)sy ze!W=hG}Zse?+5#vkDvDCWw&r+I)>Wl(?%J@{bod-id~rwk92Q-k(b2hwDEH0u;($m zZwFNuQKo}MSf_H=z@~lmO!xNU+b!%N*NGx^nqT-&wz&njzE=?x{P+ehBGM9Dy!Bo3 zCC6HO=f~V>HRjQf7N!jg)eWfo-0NeHnZ2X4d|#@}?Sit|q0#T97qw#x*@S!DRE$_i zOt<_&lSBC5YQ!%OTk7hq)nnX98OYrQ&uq8eF3YFu-(cdp>G_ORI($36zmQfb-zaD-(c&rp@2djV-xcbCq5FWwl7u?`h{Z?yRE4tTbG~)SLYetwV$@h zmohav|E^nHf;pq_dTmR1b@lcG>50!gHqT;t#;|rkuahX{W+g*CgFQ+W+@GbVPjsZi zf_$*97b|e*6*R5JD-pDJ)ws}K0>A$RWs6;!#^ZWbR)rrs=E=P=T26a`9I6KtrjNSL zm5;GeQgyT$9tz4j{97=6)mkp#e-EPH{J2{(3^5qIyVeCK?iGXU`-<~6l@NjqmddnO zT3uFb4rvdU=$>qKne7ZVFd@mYjgSt;c2D)>;XY4eO)w$$wW~8&OQ(*QZnJcIA+D-2 zWaNp*+yAS)@fyuj_O>IoL!#bGlXU7oLc6zSbbFKA?&ESZ8 zw`45`Cg=Pe=C2e!WwcP#6{Vinx*>FszLFSUlo(1YICY!9w!8GI_h5L_+hkQTYF{PMNg+9m;Ol$5X;%O{+~-Jq%}Mtn zoR*+j^pG+{l_rFkumdwo8fbm^T|#QAW@rHQ?N^ndbG@-S~5ADGGAD zt2pUdGm4HMzuzE;5`O3PdvT^4qVI=Q4tcp5iw~&+!A{wjR}<&f*Nc0|qnz=|U*z+e zwdhtsFmdhNThY0UCxqr+6L%hSQy&N4YNHT!j`vxMrL4DqXPN}*{d$(8x}9czhEyV# zt?}kmvyVCP;aw%whGNH`7GT3-V2$gd5c6-@_XqH(w$%kcKl%2yrTfZ=+0J|n{>%u+ z(~m@o`;)FszrMvkI6qz6YgXcNG{L)m&fe$qKjLm_W{A579I^=!gPD%52%^rr8FgRlc&$~-8>HX zd69-Q^?yXU0`XLDQX2m)o62zRG@FVbq|dEJS?ub{>6wll!|R~z@o}n@(=ao8Hev$` zjJn)|;rciu{_hmML44F46k<4PCoqFoW1J8dYfpZi# z_WB=1%<6qw`4bR%5t2RewrMRBkg*Zfdk= zJ7#@{!feKHdR7mQDIPj$ce=1_iC-b6mQeE%JWt%u{t+hzwH-}c-#}FND>6@$*Zd0b ztzGn~9LC7KdIS!Yun>ERZN1Kq2sOLFFYGyQ_u7DOma~N!Pt6Vf7_%C$wc@0FJ?mbQ zD(sfg(DT`xw-e!c0>o~gve|VFV`C=dZP^G4g@UQHl9G}a{){HpTSH#reud;^;`%xT zN`>USkKUzZQS8P>S*lzvyGlfjj+juBF5N+CsPNWypI;L~*fc1 zj)kb2akt6^MCfVX@%%A#dmywn^T`9Vi~=+FfHyc%EWyklkK9nFmamf?`gcR$o@!X>4k6z2(i1I+K?ZF8%r+zy&l(u4B|;2rd>vsPIH`dZ=dPw zS=(>DGSa;Fi%uLj!G)RYb^P@!h|7bA>&t&zJ_vpl)sC2r%c!SCaqx|H>7GG6gmk)< zv8ZXo$##eG1Sye=Etf6~Io8Tc=MUcwB-d*QjqE8iN>OmrIxtKdY$dpxA{3zi!{9JiAbxFp)n3UYx^`Am^jTvnJdS}tFTK#T7_b~_Xe$OgQD>ei@{4TGCwq)(^_vezSBi0D3AxKpXo~t z&>C&ZWuGd+OysmI1y(iGkj46!m;Vt!tV*$IL`JZp@A1jR3 z|JLLnuFvdtWPfq(DziI+X8&gbQ81LM+2N%A-d(LgLFRYC;F>F5KXtbPCEWUN^ zp3uc0!`;WaUS{#%eqI{Px-%%*x6jHN{+bZZ6?^oo<@t($liVJ8RSFD}0i6v)>SJA~ zay``9Cl{0BVnTT3K^fa+Q{ve+Lr0i)S=*Z*L9UWASt~6`Y4nb^-a4(Vd;EApD8wC^ zy6K;4y~^!liv4j2Z};0^Z(BX&+U6}7p`3re=3o5^Kem(pf#=@y{8wTA_dnx@rc}mM ze$L?@{YIsz7#k}DykByCyQOfM{GUFlnaZ4<|-3JQ& zHL3sTT-BHEh)vR#sMk=CHB?hFVn?#k__H&c7WASZfwZ zjHi7N!@T6}K_P$bFb07)NlwRd%T(K;*`NH>&}dmUrT33chz?vf`{(EXE&p7ca^w2x zY3Ug7#DDd-`{VN2(|`^BN|xmJr@scie@{~WXJ5z@uM_5}9yu9)8yG)4MI@olmNA_2 zm#+IwgII$S^EiDOgflR;tZ}rUm_qU14QQsUm7CXEG(hr6oPw(lDqn;&np~*>iD%Mbl0DXiiX(UkfggV4!nH>(QBdL*#RO>7*;pn zu;-8ZPLWcwcT3Dh9YI0r<03+s!yJFov7CRSjzDC?dvcLs;!nvV{EC8#tSw_`!}^`X z_RH;Pjm_z|2R01W0&(f>?y6RGY^@Es=H0o|0}qRggz1Q<(O~LOl9zt~fF5wM>RYFP zvKKcoBfLpRA*;9&FvxlUbpm`PSy26pK;}STYXDf!p}FkR(RxfZIp%7891tl7Fxyb* zTloc~OThL3BhKYk!86y$K!R(D#|{ggL0Sy-cX8H2toeW|U}|ja1eEhLP0nY7>8H%y z07^f(ffhWeCo^wN5+i-l!>b<;ipv_|p zX?<(q2oK-kL{;rnuDHxS8mF1ZU@!n?TR+YM1ke7yBl?skAMSk{bVh(&{``5ezxwz= zt%Q7?U@Nn_X!JpGOv;yLVe^~|h;sdB@#kD&HNI`ycTdpfI0=ME{vZ0Y#Dz^lPMCs# zgAeUqU)y(IJeyEKw`Asx&1dhEAnRsFyZuQe{wH)t~(MvEV*r;s` z19hfy>dRJ^X2@C8k+%Y#soO}2>FJ=fO3oct{)Q}=RtNT4I2}Ymj5qv6DIL6$j||s3 zws(M7N5N}3UAZ%M)*WV)IRypB398Zd6~h=%QVI9D0(|Vz@;6T!KCk-kHBX|X({5cc z;d)JXJytUH#bt(8pvZp%gd04J4phnS0k#gLCRN)ymv<|8YraGHlh^O zwF;C%1or=cZ%mw}yQ5k8+uP((vyv?We8qxSY4Tk zs@I#DlKV(*T&_E%d~?OQZKhD=C>QzQWWI;daM$fYeV{TcWJP^B+{$x1f@S9PdcU0z zS`k|QHihR|vkIg3YxWgXC%X-x;HKwo>}pO1 zTUh=Q!Fd4EPZN_RA6zn+jGN^blaQ2j20v4Ic{#tvOzZ}Ja{GG~tJn3RzY6M^RBbF`q#`oIo08nbXGyvq6{l;4%)3dYc751GQ zz6AvZWA{#4G>+HH$B&l5lyowFa^Qw^bavK^n8nsDZjRp5SUD1oWVTuFYDmB%6GyWQ z{j!&Mr6JTR4i|NSWCSpp?^T zr}GT_=vkd7NF&9f6!B2k+s;+}OZsGh;+5zlzWa8^doFo0>V<|vV_iNe4?MCLKW<4Y z&s#nWu0FXasPf`4ftW*o%;~sWpJXzvE`mefv+Z-({UACa>zd#>1dHK=!f}a?ZGew=NVBl6&#O0`&990O(-U z>_%sf6budLbJfZ#UCVe!eW%M$TR6%;C%i>$F$p%PhJz%Dra2>!k zJ$(l@>0DDOS7s&x2tMFIL4UvpJc6;O7CiB%NQb=sQ(EEJTK77>V!!6d_ew`GZH;Qr z2^pYuHf0W)*aFh0`lbHg|$PGZ6H?#oOX^g1^<`iT*6 zUqDv|iuT-K-j8t$>eVCf62UW%0b>+)OB4ZNd^CApBXjMkSrSCmWn~V4#b97y@W|G+ z=W9JEmqFRvVupJE!e~y-55VzS5d@skWrXhb?TJs9gA}2G6((IJzWTp^Z(w9(`7j}c zup9Rc8%g84?s=Ue?75{Fc)3TO+gFYX3$r-Dcw%pY&na}u0ZfRgGD&y{EI#;USCLgo zAHYJNK>+_fIx6)N2$eVOd0kvwbdmv{)A$;iLM+P~Ps~c=m_uV*P_|B>>p2arKt;i- zUNNA_cBh%a_U(m@5GF1XlP!clQR!;lf^A zj`iacDbI>->CK99sl;!09VS12 zGPv^Xc+f2$}T- z)_7DsvAgZ{`%=~mZXJ*O*aQCiPD0x0d9@P=;_+CMD~{j$9C$23&OX7|aq2ALsW)T+ z1q^vCCr2QTf4Ke*ZBMdor`>3d=hGmpM-dtpfwtdu7I5zVeKF`c#Qy?Gc`q|y^_G*1 zK(B~T;qQH*S_VOfhs;;-aOgsO{+zW^hx2CM#*QjnX&&X>CK=ath;qDCgXd!6PVIZY zNnd#M+cRBFG#{>&sXnicXE;3}h?Pc{Ygz)N}{1UzftN%lR`1xOp) zQiJ=svf6icFJ`N_kgLsI2gBd7sNdPOookrAqR~e+CY1HYot#Uqj{XFL+PUCVVx^`*xhpgu>TOQDRiMGq z6N7UG@VkwBYP9LD=Z}NWYVCERSEmT)Ilz7c9tni{>cun6&H8+(qlAsNZHo1X)rmET ze9k<6`SSWDligpcmb7ggmqiQ?Ne}hJpS{Y-$$>?vValRxMI&j3Zc8-K0WB>e zo|v1P!+Cu6?3sc>AFzt{e-X&A#neu`g-?*Z8xLZiJ?l+-c%cC!fp_{0c^j;H@ByU4 z6d;gUH%Bs*j#xf7m_Z%`meAI=MB*!e*eu-L*yDSR65s_X@wK_J@dF^#=d#reeB4O7 zhcMp6>boA5FiU)3KRBk4>%(cUEQ&k8 zqPA#uRF8Z~64TIuhp-(SxG`2)U160lf2y%I+-aBtDaR5Y!YD62K-ePmr$OdX?@ z%W>y}^ZC4Zaj~@l(R11U;gYMaOzFD`c*f1sx~QC;^7R0FwEn(SRzSeDD&o?J9IC~wniX>ASk^NZ!RN*!Mp=L1xIBAeDv zfJ9nZ`EL7yH1A#i?K58WNyfonAkzB!(m_33+70Q>306OMj@0)agvvSVW8=xR+pSG*(i=Wy#S63k#rW z;vd-s$J66ikblm~YT0OcvSP?Dz`rwMWoUSI!=@2Gtg&_QG+tXSUpZbmIW|Y~hcSs9 z!pRWE30L)Z4Pk!QcmhAod2c4BsRf(}I1EPMgo0Nyn94int-&O<8h7Ft854v4_+Sx4 z_qSPFnw!DigO7l=?RB|r&RpvxNN8o&Ybqf8`tZRc_8Cm8lOrZWD8GuR=;&w1T#s?} z?R0PC-rK8rjc9fhU(&v?+$nE0%^DHSXWK%->ZI;?EFyOh`)2Gc?`^?G2zv@jH>Say z5b0L79?noz1q2Q;}p)-Z0rB#uGZs_szF@T{pb72^2N zsBRr+rJ6#$y|_IfQmhO_>j_Rsenwm z9kzGDRD#P#Ywq=*cb8@^n0hKh^mD$nnpr`I+(CcT0Q-R%=tWGx7XVAi>E%uq_I>s! zo*D>)Szz%kE+#~d7psq%9z3vV%;7h?4i1U$5P5t~NjU*At?yAP{l!r}sPSZw8crLv zpB#;!jMB{nrprSx1m*>?NjREXr?Ee;Z@W$0nst>Lq>u9s*HN~tsw%HL8OMp>!>Dg% zCx^Vx;N4b#UFSRT-r{heNFN`z#6U!E@*cfE4OE%ld22YtST-#oARE1YO*RsF@J2}J zU6T$tua3QMF>+Q-#Ab$tgH|&<-12DL(evJ1DcsJ$Avk+@Wc%&cuV41L%J!TO9)#@` z-96Xjy_2CoA{C8Mcr!zsx2dM}@h(PAf?va%7YFsoIxb- zbi>n=m6`e0O~e58U-^{7amBy6nu~kh|H@pQCcgeAU2u-~W$r{cEL%+4mJbgP*IE*5 z{vA3o_pITN2ke$nF&8*0xVa(ivu+@H`cE`B-ornssi`?uCh~2eb=Yy;ObAZD*wxRZ zC(Ez z56J$0ZO&i6Kl!8QfWjZs(%aJ`qNi~B2^W(QT=nByw=(8t_=l@rN2}_hQD%cjsK-JIRU!_n-93+eS z`f~;i*Doin{X@zj`H_=>o?etT3{_lwe~t?KOrD~oq$FVX;9?8-)TEJh3#9boHyEFY z-sSY%InAZ8#|AQ&k1lU-+XDMn;)VA(gv;GsU0_>20pP4K-F3`(wHxZzl(c|}Fvd|N$_ekOi?HM;AACR|A?K3U_z)+cFE zZbyr{W=U@^l~DO)@i*)r2g};4aikZjB*?s| zYmmftIg`q#;Gai`iw?5wEc)Q!pn89SsW4k13xa{BLiIdB&|gDWga~*mUuN}&7b8C)PH(*5qwjjX30_*| z-@gM}9Qgrc6b}8pJ?Q1Xar&46pMkJYhVUAJ&w&7qML-JK}fWy0%Z3h+^NKNVt8Wn?U9Hwg7P_JdzA}k^C2Mrc5 zSCk7uO5`+*`N3iaOmLI!A6`FUzh+RZqH+kY)H_!|3ke@!*E|iv8BqIO%~ULmj1qbM z0LlB%rk5-W3b=^yaJ~dNmKczYPq+crIqu^}6Rx;6Jy3%X1$ZZSf&&1aH?}_;Uk1Y?4c{*H8vM@s+e3HBsp&7z)F^C>wTYb5T<}2JJ&-%FT5uJSbfmzz)cHi$uO~3FJFT5BJkO*9C8&` zm4^sW+Wgz}z;)1gz#;tgCFDFnobeSBl)#ovPrrNnHvB%g&#b0irnz7kzduh&Tmz0lugJV?hR9p!$pwCaDM9N$vOvC5Wf8QTzKGbb5DRQ@L<+{s z-Ze2cZUKobfNSsGg;6#Wu3@Voak}fcC#YL?j+DJ@D6kxOY=LJy!csQ@a7)E!u@M0;>Q3JgSFUs{P6aBzZ zK(sWIZ^@`3MmQj%FNt(v(aNcFn^mQf1R9f3TNj+-FVP`h^`Y-+@|2ksjEoo&IGKS$ zJhyIfag~&nk)A5z$Bo@cNl9-8&4R`U`CW;Idrv7x!7}=tWC*pD@g2zz&}@ZIC4hr~ zRulQuX+W|bVGkq!r&;Yv^_UhL5Xx0m2_T_jbZ;?prSQ`m7_7FVWd(AsA?^TWSIS;q zHe)yTP5yfw_N*vFh_79naEX=7QGg-Mq(^pmNTUNW`};4&uk+Uc&sSqsicfX7dm$<& zX3nyVPoGLAo~Lts9DUUd?ub{6n1uz}xcWFWOoQV$=oO8caWgcVmFny2g3mdo<@`8K zqK}F7uAWF0*g@CVA%k4IVIPXFh6e+}gRRX?CFbbELudAPT7Luu7U3jAGjYodEfrel zkz)w8@6KzV<62Go)3Zykbo}&r8YF?1TQMBuIf5KL{d3#eW7W=mG4W&@k%nAxr2F`$ zl{J+5S8wV=mmbhcqa;pIH9b9?W{!NmwG(UhxVX5}cELKChHhSm>v9MMS*78Oy}9(Q^$Ev+5kWH?VvA zy5HQ?6PB0*(#ab&^-1aM5eYy>yIL5&9Vl{8tz+6dxwC)-V(TjA5~DXFKGxYMums7 zgVqY&0#;?9hjMIE4LN%9w^MVrPGmN)S-Ovy0G z?6=SiB(Z1^HmB2z6nkpZaAWf7bX|zOF~iFT4R4l&QLwDQiv-$S6%}LbK0l^zM59;! z{J9Hy>|qS7!&Q!3nRBBMwb3ZPA#L9AYnZ}9_CAtOP*ehuA4)@oh3s(LhbU__6-dEX z-rVLLo!q01OH4H5yqO?P4;@uONzM!Q7n(s}r4!Aaqpp)mU3)k}vsTMZB_@!Tj*ng` zJ)D5u4RBJSgA^A6=6s6bB-Q?eXv+-v288?K5)yC`pj?A&K2gvO@XY=F zPGf`tb+!-$O*xn`*2`AOz#RlPA+etbIUYSPFKJa7(Le6tWs1z520}v_7zDflw8AT( zv24QkHoy>>98R~NfqE$QRmoWP+gx1HD6$;&X}9ZW2*MQe)G@IR7!FX3GDcnS^dK4t zJ#=lM3O@WMbN5E!pb476|IZ%-t~i&i1^G_y#$z#Q90*}R+yG`Iz(~%vY&r`F($fAk z;9RhN$P&X8(Uh5)NdnF7tV6D+{i!>ztB)GeCT2SJ38nH6i0>sp-J%?O7;ShoXzt=` zlBZdE1vlpedZd>uE+ntbeQa@q<^JH98>dL1!GCwxULXnH8=x^c-%ly-^4)o_5aJ5o z=j*z`&i1I%Qdnzm5EDn3fQL}8h!lad%Xf>;@@2xIbpYJ7=g!ou`rKYrDK;WRHn+AQ z=vu*FKR!N&7c7WooLn#eg0l(H0}#&={di!expnLFOxjnOIIbXaVJvEn(~k{ES%9Mf z3?3k?*^(@&1Pj()iIj1v=2S>PK=83|KWgNS%KmBWXBu!24@kSIl?^%X}Jhd{f4o6fVunC*S zw-%ID)3s530w~AM?Ep9pJ{X>g@vf3vMgMUoIZDxQQ4n{qnmXNI(Ln9vi7x)*z4gT4 zP%EsKn-)rV{GxMD1Be{Zd{4QP;pW4y=Du_J(Fm&<&Jy}!kd3h0(at?U@N)Xrb`B3` zDP)2A6hdhOQLjUi?xe?K8@73(?$yaxNSBGZTR$wLFVc{|QmfT2uy22%QRVC)IZ|^t z+`3}ED690_)#8n&+cSgg+W(h!fgil`w`MZZ5+8!y_>`(WX91@DLx_~xogarsTt z1O_f57RseWBm3QF&6)96R4gqm!G^U7MHqW}01M-mnK~NGcs;+k=A{SRKPu-{kGYw3 z&K;LJPwqeC3eBVAKhL?NIGxu2GaAg9kwecB#j@C9~V5r2!putb-Y4PtDe7#yOl zG;urpj>JoeXSvRR>PSStjfk|8Q+_n4m0##u?7Op|s2UNpm2jp3&LiyIg8pN>7?!3S zgkL|_z7&2Sjp52V6m!sMrhj^*kTS9W`L5*+iY zz1gqNV@R5nQ3jom7HxX1khKMcw>4L@#kY_)+Ti@TKK2GP@O5*bh|RZ& zi$F?!3-WFEf5{LK%pX@Ue$K_eQ}-@(jwrbF$t^g?oSM)q3AMjlj8K!g?pNO(!5W8l zWAT@|PLJM=%wmOP%X6{OzTV~U_;S3Y_SrQVADg)C@3*ov5l=JrX1s2;vV;vwxI@ z8f$rCsd^rkkd(8MIXx=UH#gwhxo_3}{lZiqrdRm-!M<>XHf-AeRWb^n<28d^7Nn|f zg>1ska$`g;Ob`CV6(@`!oYCJI#}`9vwHB3FFQ0H zMmiz({|^-i?f1UP&S+M`MjX%#K1=MnX@7W=1No83rx@N-Y{+fCe~udoPCva7W&TIv zo}dhmC()XloNeob`o1}h6_?Gko{z)qK6J~6b}m!8au=Cw%0~sd@hKi|g5e!osj)eV z36fQ(X5W;~UFaLBKe*>D1by~->RZw%B`DvS+`kzF>nYUeRjOSp^<`%`D1FvJ?cFG( zs!ER7CpuBtLyiY=7nhi$!m}#R4yD^3r9Mqo@UZcu)BgAS75Z6u$W+uAM_;^Ml!@Kw zc|hV;I^&#wJA&gev<^H1?F4h*{lB^ zq8uONm50j?#df4)c=!M+5cXY35S=Y77_F~r-e8fd-tZNBVKVQuv)9I}KPBi8)`@7| z-zIn4ajNAwEsjFh3el2uXJhgz9;!9eJqDfUg316BR<&Y?Ly zV{SOgr*H?yO5TZRYAhVan3erG5$_K(A!(P&hNV<7St*4i>vf&Ww5 zm&ZfdzU_~+rx=9F)(B;N>^qe~6e?SG30W)q7L$qy*+L@9zLPbEhE!N-JO8LSh{j-ODS%ejqX(*meI8$hZVm#tk|rX5fqsP1vf3 zk2os6pKx6*8SiCPS6~;Q(ux|_w!Y`lOLO`;wXc_0gJ(4WPt>&+DkM!~!LV(6KSM2j zn@7C6+-mQt6*!BXA6DfPNDoGHV&i^8^HLd_(2)16&2-}SWHs`Q}x@_VqKurUfCp8fotI!PSY+|f?HasOcA2K=;*zpx3 zzgWeD!5%_rasKIAbmO4RZ_-!+iKffDS{)y&SvADOWp=@z3&HGLz~6z1{xS^;YzNAA zLt3S$|CPNZ!Tz$$x}e==BJSoMY-l9TqHR(ZMi=YMqPm3%yhAFqYQd5CEu)#sx-9$` z#y=7f7e|Y5ucM{n>ZSrjY%cG4uT4`Z8%v6Xd4goxKgkSC(T{}6`a)@#4-}dfv7G#2 z+IQn>&Yb`g2Nx-k0Fy*zy_1U*=Oxx6zJKq2KIjTa6sAf~rqJbNf&L-ELG7;m^VUxh zWyfgt9Wf5Xu=78S_KzDnA5QFS;*#N?8TC)7@&%6B%=y9h?~Hev-buawR^XLVgb!OyaHI!TE~VJh^;qgZbpRh}-*JX&#8{tHD@q#^Vo}l7kNp zhg%-F{9c1$MF`T)u9Ax5X{uOl z)RU~Vo!JoC`_*E3y8k2%S^d|*)dhie<-L!sHnD0ExZjJ?C_kaqQycN^d*h#aMWu(I z@z;;_$lOdDReG#WC@MTG#b$)AYy^RAmLkH3N$u9QWP|sdJFJe(=@1D}IpdQ%NVg7wW ztkO}5^5si$&#M}WUGph_mbp27w0?#>hF`Rts8=4EOPcfc^bQo85pAcuQ};{_eTid_ zWb+sGVf1vbUw0Qc(|_Guj$<2rwe;4FX!F2DHl)Ex^65eEb5}jqNO`qxug$A|+ZmS7 zbnkA}uqDrXwy&!{S)cwf(6Jy%s;rfdFV@K_{vhnSIgLAk1hYxTZrC(mn5o2mu_84q z`W_0E?>AkmU+bc+Uj{7^oww#4uNIB8;N$j5y2+3_=c zEaBjzvIUzeE*-amMkZ6tH9kQRk!h7FNV-HsMRj#_s!Y!neJ9-_n37KSpW^DgmmIj* zhm8u(V(ec3t(`F2uD!nS_J+AS+IrKXHiQw?Bdt#qY@(cK8@PLjFXIxo{i!;-)3O)r z$Ic~By-%XZ%p%#4Ed4k0w&zgT9MZZU3XEi&oSo}%$t+UyVI;Mr`=Qw3Ld#WaMJ!W{ zTsjIBhPM8Q#HCCupJ2ms+YJ7WzTNAoy*|*9sXwZy`D0!D)N!$G<5=D(+U zL4ePYu&6t+EAKv5i(|w#<-dl7H#hdmIk%c0_L2heS{v-8$6DIjfDRQ1-e!Q=hld|a z-u3u3uC`a+w$?g0L5D>eK;sUJ^|wwZUzjBC)Hb)1oZ@}{TAwZ&{@(eHUCd|OlF&HO zySF_rgAvQ|c8@QkHPXeP#3`4r*7}=r{Adyr!;QHOwU?W^Jp36Ewo6vu%llYM%25@h z8+x7l$NWXgrx4XopFWA0*G^v98@nfh_Q2LmVd%l`8s*p1d}p!$F=M@0Cie5(OXYxV z2KX*3uF)Mn%ne*KaXh+SCyqR2@}%l(dk%$3Vn8jzGTL?R-2M7%=yME%KI*OiJsL#< zlnQn7b0Ierg`?fMie6V9(ZG|%n`@1X*UAD}w)Oi#8*$IbuKc{b3zCwON=hUB{hpI8 zF)s?4#9(jzm6er{kPranut^gW6Fckk)h@%*8Z6cyVu+;<1*$Zc1oz#>I}2n4kxAPc zZKP9@vYR`)=IGec9E2{aH<&a9n2?(^D6>EXh3SfJLHAYCSIO*jK*H)w|V^ zhf41q&N+(JJf!`wzBs@1&v+opuaNTUlCG#+hN6?Web^N}Q~A{`|FzHeZ2~$@xJhiN zzerP=`y!0CktAWXiH(@vACy2v(k!oTyWhZW_dPj$38sikMpSV-euZRo+EJ@~qh1}| zbeGrnzz=_g*m|~>Q5qra`kjlUP*^>slOoo=O~2Z;-A9^C-32bEwY9a^@~BJoUuGL8 z6L6!|Mm-dZle_0j`c02@cXyxY;H!J%uISU!_iA8C>gt}Z#vqMRJsZstZ5y)Hh#khY zk`{w|P)Vm~-4H$$|a?-!^lJ1Ovw^ZDyVsY*3Kpt}ahDZx7 z)C0_5J7`$2xio^Oq)*+Ka_Gr~kpy!(pfqOYR#XM(n!>8%oBK;a?9#=d;k zoSUd}p~kg%?32bu`Q<}h-P?kak`=mX${idB_9J}I+`0P@2*iWOJ7zYA;Q>PE>_0DP zc&BeepFZp6g-YZ7w*hW}5|Rul<#3686}Wgiehx(v19ujoujpIm`P8r7_w489VPS_H z^6}W=xx-W5M+^4+CL(2^y%L?2RO7p5hj%ucMIgFnD{e8(A}XsNO)bSM1`KzwAp{36@FT3p2`X0jMRF`^pzq?mSHISBlv{p)KLfmN z;QJI;RCs_dU4mRq&z928vr$Z_r{w3Ce)u}rf}-;f0)f-TPvE|N`v&c~Dk*S}6E#8LF#EB-^}WU>+|Glqu>4Pt2%0Sj@S^%lavpQ0T|+0O)o10^vR*b` zPc#Mq1N?&7b?@UxMzY>DGK?)3_nr!EDR`Ef{k=o_>;ILJ&eI|q0-TQILm!zCbp1TE zmQJ^moqr8?zf4FdJ1c`%ioJUEs;_SPqeqXx^Ag&`!N*u3?Tnjg-l?{r>`Cj};VmX7 zCt-|{-GEFHz-jm8<#!Jr{7mOga)N23lOizL`JDzY%B85LXS#v!_GF}|H1i7|A;~;H zU|{ySxMyKvnLcUtuJPwTSBdw|?Eda)My0iOw(y#gZNF9pf~9FeZtjC~^+hr)bdqe> zJUvZfu6(d2a6^OGTc-8#RU-Pun*knsW{flf@#jq;agXWn{>H{ebf1*hs(_FXV9>|u z=?7-1Y9p{q2IwL<*eh@q98ckZlLH|l#h-j;>$rlqdFA#*RBmW!(c^%%>2^TVCH_0_ z`;k>7b|c87=;ySs0@l#GVRha!@?L6S*`?m(zAVU`V%_^Xmb(8$B@}?$FGBRN! ziUcE<9eiOfoY-%3Y0=8hG_QHJWX8bXw`SW1J8e;->}BS#`7$JbnEI`Jt#g#&M<8}N ziyjNGvL;4HGsIlU)E78@aNfmIAp=?v*qWN-9P$;ww63dr2!@c>@4?nNnIg1y-rUz$ z4han!ehbS2DHAfGDA=Ne9|cZr@JY%+xdL04E6T|c?&)OfM$h!m8+es_HmuIDW2&om z4O>cQ#oQ?z8M0mFLYVSXEO9nk=?YXPpyN}+dP@GtdSw+3P3vbgBz zv8APt4!wMP&UW1yevI9O2yv|3aP=-2ufky%=J$qg2VV(gh!PHybfYAk4cD+6-|!`v z!^1t^B;_^=Rba%NR7JM^o}-^7Is3i@y za-`-TRDBclPJZAeQF z`iiTeRYT~G(9_?yw-1es^juoMKPfZ#hNjn0Q}YP&IG6HnPga6Emq-2hzsXG1>({3b z;pKd+I(y0vnwP6ClPd3Q5gMRx9y_(od}sQcgCjmrxlVoH`aS!5jG9Xa9vrOi$T51_ z(m#OhJe+2MR9BsEJQwt6s4mXF9QO)B3FD1`fchu1E(V5DINYMR!k%1nck$Wux;C<^ zb)rHl7XlGjU`R<8{5NM%9R8nj27epK87?;}CnP2&C%&0XJKpXdFas*I(6BH9fM6p# z@&y(^qd-@9%--DScD&G0<##|U^QP-ICY-(ShK3+zF=e7rHT!GbhS<(4N-xsux{sW& z&0vJ<^8mERX2&|`UeTxoLv$Bfn)7A#q9~ud{Lr+@S+iLk{iMY2vht(tw7Liy1Shj| z?hiR=o~gaN4vwKvvdI5IjjBou>WrFBzvtZ=*buq$tg8ygr~R6li);DkPatx>fN#WI zr`Q95AbD_(xHtyJ0l%&J%NJwbf5I?*4gv_2&?f{8dZAtXuB&x@o!=D^^4#PBl|{$R zz@H%g|F6JYh~oeIRDa!^V$jv?gvnTd1{X5Jg5fO1jvm5%KLJkTWuJKhd z{U>6}rrT!b1D_e_9WL4#-S%xeg*5Q{kIaQH8F+e1DFD&xKT^vIy%_3w((Po76UAq>DB6Bn{aKZ?#Y{un%=cHxT6sZU4FW z2iNfvDl9i3#|XLzTS#L8IeqbknnsY!OqBMRjs`>hvil1bc=~!p>gnGwO6wnlpAYsq z>(Ro`vHgehsjsJuji!KM!qCSl>N8U2-2D6z9s}xQouIc6wh;|S&>Q87RzOCY?anxa zgeGEpnhNp4z%FQ2&c?NZ4dqVs@-g_usKO2U{9B~BSFhNZnI~T!gMA%ZT3RwRqLe3h z;KF2qwqs;%oo*(AgN`?diBeLzz&brPHnxz_5}@)(b$2c!C(7GzvjCc?qSFGm9sF7M z!-eia`(&x8dK86-G0ya4Z}@@CkqaGY1)j{IS4to@$&}x*1D+aOIZGHCo!RdQ z3M=rOy~K{2SomO@zFp_LMt4y4^5svjrJUeSYU_=FL}wg~&*000q!`?=-Hm_;_2hsl zP?KFfJtL!{?#=>f1=>?k`~w-l21x`a8^H*Sfk6!kSsg?zDzAA5n?>}Qt=)ad(T0*|GyVkizOf0Z4+nf@O z(smhs2ip&nmATFJcmndU--OZGMK%Gl_vEdf`TCh zEu^UqZuuY=JBC?JdkdP-P5Y-fQD0Ym`*Utd_mNMKebM2jTPTT*%)DTBiRe&GSfHG;lqI?HcB3dRcE%x8x2yy{27Cxz~>BD z?>7QYaGAUlDB;%E*8!c4lgsj69%U6V`vW}iP^wrI*qW4&X6xg%q8MN2GQtTeAt5}R z2cQT>cJ^JcbeDCz05d8dssP${`dy#`fMM?E)YvzQzN=A~-Ha{4VxR2(lzb?dHyU1; zsKkKa(+T=DNEhPAkrXyg&JH_KF}U{@8m#_ei0QVsG5U**ZaTUK)))@Zb;7c{ZJ^J`eiC z=RfXFy>GQscnG3F5Jyn$(Gn9`ky+W3DkYk^P>9112zMxdj*xs}ODgafdC6qI2g zHA{_)oA3#Om2m9R%Em^Oyw!*Cqy#xwhYX;z3V(f`h@((-hOb_=^gyhT1r-4B_Lhk_ z6>uU3-mDOiSf!+;Yq3}$e!W|ikb>t^E3kfaw6z03#yo`OHaFJO>jjn0q?<1!Nub;{H#K$Idp_@7XRyB%AU9C! zM1@}CV>*KZ?1|dIh6^H;=>k0lI(gU!KOb9^bbk8=U2ZK+O))k)=m#09ArJ3&Y08GS z-rB_h;F%5vO}UGBwPmvqgy@mfTNoUE2P>UecYMH++KYjOR0*#v6zh@3>{Hl@d;%sr405A^Haf%K0ndR*-%l6bDN|h4-b}GAbd`?8C|v zdS!0Z8=bpbEARo#7*3zoqPJC@0zy$7zb+{MCTPs5J?og5n1v%&8efSg=xgHWTC3vdCga%N6=lP8H?&yRHTsq>9 zQf55tmNFyN{UuDarTk|2q^u`rrKL70O8(v;52a3GVLh?hZqO1-B3!LU0c@I1?aP(1hR~Ahj$*=(cz?G7GtqcHYj{yKx z6%!TQLqJ-$0RT?`sn;)6J=3>ly>wMH=GgZPh#p9`leOa+VZ4cbqkCUh(W;DJJL89X zL0ZNbzuw$fL9K#c*E-ks$cdd_x0OwSyufzkh=hQOHL+W9?dSL5W5IH!_i+hMg1(r} z&x_#UqBuhc(3B7e|I4$6)8#oA=xKV|a(4soDW|cC2?})(ff(j2S$-3mC?@#1k=#%@ z7~Dg>jGC-^`&|P-r*`v=7~6ucG7qBi*J$eV=20qV!T3T{<6o` zLxN+?Jpu#J_g>FyZ*Qm1^lYDfJKQikwe23!twv`LhuP0+Yigdg--F1$Uct<6BAj05 z8M=0R0pyl?D-aN@G zQv{Ta6!!hz5NnNGiE3k@K~mqcHsEQg;{Hid^t&6siIWs^bc1d6b2#Q{E7YwkYffZ) zX5*x}nNN^%Ro&WiL4!0q+aIQtqT8@rEpt>d{0+LfKRhm?A0vEW>F(~Xrl#iP#KG9+ zU(D~d`=N{WiZ=`UQK+s~X$T4c$6qazUWpju5} zs#7dF@Z8MDur%2Du#5LD0sJ~N+?B;R4Qc^+KJneq{7e8kg7abiP z1HWT69jud_f$jO21N-f(A?Tfe#M8VK*^f}F7HmM?LUrLY(z!4{-+Xm2V;6pX_3rLH zaXPiOwl-jRa`MGX9SO|YY;lF+JK5DLJCkku2h`QP(${nDD;3;*7;@9GAL@c-)1n%y z0;g*Zq=EP8NLSY}{%K>kf)iJ@>xBFn>OAG{RhK1Wq#PYrLN6x%!@cJEa7scXTk^oi zOnpCv3KjtwMgm8>6{3jRmRGZL+2{eZ5e4z>zpP%KN91#+-~j9?Ec4fjdMeBq0qI`9 zwI%~kk1iI!)rJ?#e<8I6?pjzI1HjrxIVF;PW+0}WvA^l?eR@i5Z-i=-FmYgH zybJ0AeR2{sW0v@l-7$*Y1_-zTzkvpkAUjS4J_0xfC^TBna1xdqA|ayRwb~ zB&z+a`6UTVoKAYB=%!^7ReAn+RF(Y0^6D}|Mo*6{^&(>e0uW%{3B{uzgV{{Pcqod* z+jFLsnO6tPK2+^f>3lUh2obDPocjDe67xxQfy@R(-`?#rRaks{yxS(aNQUjn)+8D* z4YRYcwS9cfB(`Q@bCk;@e99P|q%aUBLiQ`1QReDZdTq3DQFwamcjM>!m-7-Y-VI0c zT=ROLJmU$y#s^;KvW=g(srol%Jj0Y4gz7)adKFJ!>>TQi;C}n|U7_T)e_nL2>9^PS zTABsDX*=Mak1>cADF~ieI_y%MKR^QjO_q>JTfO9@(owQjA>CecE{&Na*c09`Unx`B zn2qfbU#~AS(`hPSxM?}4lYLXRr~I77%{BGy@q_2$#SHq90$znA*$ zS3`Za75TEb5Fuzzk(Lp+mSk_`l3T&hOwafCJ^cjJx;N6f3y@5 zhfCFcPcLs@pL*lYgPIRTi}Ms^jRjA5cxY=1&&l z@iFk^L6|A$q~>o4Ok_VUoti9N!T@DDPl_y2#9iPFuMQRs~JO#gqU3Xb^nA+xi#_*n)VRE(csB2=bmokbR`4<`JJSZX)vGfP8Q7lu zb^;bcKWiuS{+xGM+vRoby}0YEZ~=DZir82Jz|zu^L_HcQx%7NXg6vsRL3pS&91#7< z@T?#pPx+0nFFWI7Fp#XQtN_9N`y4Dq+D+~s6qtgBheiyE2nlXB!?eV{73^SCAXyfs zG%bN$dm!!1789bdRx_c6KV?1|{x+s~WA}<63!$odQCxVWCZ17MeioP+@{D^0kB8?J z2*{$UfR$$q7P{YR0r{4L;yWGLG-{SK~@f5*z^Y-eCqW{Txiw1?~N1+~lKWRqEms#Jm=B70Vx7Yoqvse{CMl2v`t z0G>WR(mLJ^y6WEEj{pX>uF5-OWy5L)HurFk5BChoqKJUC%@P00qCoiZxd<{-@+(y{ z&}Ya_?5~zRo`x2ze_A1L&}=EKha|mV{iwm6#pl(rD8oO?C!9~w#Wm-h{(hdigb)Zo zi8NYqG4FI^R>ipTdQ-tGaxvUrsme2leAaH-2bm&4hM{&!`( zA9-7te`I(#DiHRXv-B}URRZ$`_XTeHFCo^?6IxgMeO@n9Ch;lK5#O9HR!C((_I@&R z@7y%Pz$F0FV@a19tWTg_uWoy@Nyc3gjY&tud~!p=aYR&xP4LbQZEzNh8I% z(q5d|<^CW;F%&mXuKNm(HwkPtCOv0oOG``<7S+AwC71Eptmhw*WIlqfBsf%5c;~CE zdyZ^ZKVa<5LA|CVICN}DiJWT7yF+!*UL&OZmWGZFIbdpL7DX!t#^LqKNB_sfsh(Y( z4gRuHQecU&KHHnf6!HNR`9lhdZC61Ms{C9d?LQuYX1WhCk9=%-ZBCnnUj8%-?zZR7 zW7=q{zy|c#>l1VirXFuXHOq+H6iVz!tva)N)|t&knzQtDTVO%K;DTRm*p8_DCc zZsNkDd<;YCIbNxGN=<#f6R^BIyu7Tae74k?CR%dlI{W*LihqmKa{#QSyD=IG2US)1 zkvRJf&sSq7@3|lAmc+4Y8-DMT1OGO*M=y^Zh=EUQsomuESLrRpW0CG4)_J8tV= zY_I9z>d^Jkh=PRP1H``jPIqNaxWxw~nNc%Ra(Q{VrY>d|hfZv5HS(puQt&WE_NPyV zhkpi;NF?H9TflAOLsQ2~kFw4PVuzXfAJfx_Kzv~aCMIVOKFn-^4hr`}g(EJHqctVG z&}!RB&I1|IAUa7&$@k(p=f5K$>^WkXQ54aC!_Ti2hq*>KAT@iM^j}CcK#CBAs6ny! zzFZ=av*a&(j`q^KiHj~&8BgUES|B-#t{E;Xx1iO2`6`YnXAl!Wk7~2!oSw(_YX0Yo zTxnJn)PUmZ`AQ`o?KRRG7&8i1(U2XwSh1}T_1BO?uy*s=n?UEO!J;v| zAepGhAbTk#CWe|dlod1p@mg=SD&YbQCz+X(Y~lDoenncP=d@5xdC#I#gYQtKtr!XI z0ns_1Z?DD{d^r!%^>7!+dNTi&;Xab{O;a?b-!{3H331@!!f4#SkGBstYI8Rwc%KDU z7zI&z6sVmq=bjoQ+1fWFS6r{>8o%YKyh>;{iys`5W*nwm<)TWhI}_QV(0bJtttMm8 zTw&N<{EnjJAXD!rC(5ef{CHjXb~ zu;+9Mq@<*b55j&~AHR0cFZk*0?SldYwi#Ax0SoKfc`EDTdiz^h5%zwYx(*5-F*e6G zo!-g(_Ao&%8Q0=b**gt-BKo3`qf8qIo@`N--eDbEv~*0XQ_zc?E7EyCExAzx#B&z+Jrllo z*}+4Y_a4xN_lt7{_U?rpEFIJr+tUJfJoy{%6JDya~P4<-IgB9W}%{TcKglarlO;`Zz0p}0r+VhQZGw$gq zoev+_c~eS1D>G!wnH8VeHFx-}3RQ_tmeCj(s_yeC!8_bB2O?#edkoo00mJ7h%+b0# z#nuIk9-k>L#gKN>Wvu1)ELM)jO{z#UDttiIUt`R@A;sKFpFrf4_dF`e;k894NeQ|*($Qsd{TgWCdS_8Re{2s1xn5nR}4dZ{(Pz(p?vUqSxWx?$HVm-LY@ z$*fcMQ81kmk&>al>AtJHkHvp-XNqz{P)r0ejc~UA?A1$Oo4JdcKIx7?1LVwjJ4q`6 z#e*MMZUy1_LKI^Pqr0j|koMMPw~autgWs8|%F?MkAy{+G!6%;OcZ*5wTf#JXJ>?$- zGk6w$5B#+aN1v5Pp*OjaCaP4~um1NkqT61-S-7+~_gn?hbRjLw z@3fLe-#oHn*Sr@~JK`HD7$?_!E~IU&Qm3CkrxZT34? zR(i9lCV%;%YlmW|f@j#-A*I%*^^u8?JB7cUKKqAm$Hr%w4{r=zA%C4;vsNbeGs@(T zBnkY$L(M*o$;uK!tTW1G(Y=6lHf$>&YsjjnH%ho|1n$a+2$Zd>gvw(T7-YVejVNbs zaJM(upM+Lbq`}O9f@EpQx-6LxlxFakss}K z_-;$f-F;r@n}cjY^ZV8EDkREB=MnIAe=)j|e{`Q~&OL{}oKHVp#vro}#8Fm1%;xp) z1njwTDAv)hAfi9dhsE8-n)>967kc1*3JP3cdpp62w6v;3A)RvR;d0525{H&-7J}V>E-wtw1`C@f4S| z8Gvt^7c}QT1RB%KvZWS}s9(&m6~Xh@ii^t(M#mrtuGkVyAK!;}oME9S#2v1QwP-`l zcNe6HirpP=Li_d47jo&%p0zhB4K)7l59AtLwuhDG^DSf1L^~Q9YkWA^QQG*=x4NQjE_(D9aAGsig^8$dKHBp<=pxBV39F(*;XMY znbZj|M08m<`{tZ9m6#M4NT30iPhJ|B-~*nHq0wKX4#n2vrbiim0bhx|HXmsNdwWMD z8o?%}96Dsun-5&_Y38{Ggaaz;Iv5zH-aaGYi}*(9`7=pi9B(<59N0TpYE#G%F5mvi zPAZ#pl9cL3r%wR=6XG?3%^6+{C--CB-g_o!b@eE(`TBBRx}RTVP$k0hHC}vSBpN@7YD2DCPZ@g9{s=-n zBqGlcj@26Mm*;Y*+EP=@$j>Y<2#KbnB<3U^;LviqG<@q(@1W`(X~*4X1db7cc!EF7 zC#!e&msasIM@Yxru|koFr?0POx(~p{_JhxvvV)`gVx@>ZSvH~V+lgtYEIyTcnWm(1 zvcd-{5lsRCW+xVej5Z?!wdu0Vvlth^ke#IYN$Yl2S^7$wu~(Jf=gV(e9Dt#SKVu{j zN`RIHnGi|%Qn%Xn$%t?y!zX)%(BqLKfy7|A9&E3!?_GXyG^1D$L8|8~ao1$od`%YE zz}Wb>g4iAY#6gt>EI_?FxIg}&WM0Fxv_JE-=iS>$lND3rv7AF>2Wk)ZIm-PPtjD33GvwlX9nn3R12i3F7d*-HJaCR$UdvL|L#&m46ZX{nxvr^B4#^5HYFjw9M&u z?m3MDs0tOoNOSIWwR5UOFTGUwBv z_g2P<#Bq;2G_F<`H-QXN5v3IzV3$yZ+^T)>g8P4U}uMoxWD;+VED$O`w;C8 zyQ}8D`eP96=>zkHT)zl4OvG=Ba#|C8QL%_hLV8ja*s#D?@T*J3m7Vv)v!b&(KVue& zuAfOkxTPW7jr@=6y{fMM^!D;WVhF@6n|CrtpnuVTZ;$=%-;fAuZZg^8oBu(&Kmyb4 z9%7PaMLmW`*ui3)cD35mQ&YdJc{;UkPqTdA7RQvWSUA2(`#?%XC1KQ>Ff85Ikp1TT zzi_TDn+8+jauJj)Dx{knDL;98+Ite&;z!tbQw%v%P~VE?{HSN7xg{_HLwol|NpZwo zUAcjpx~79kvfINw>Zmu(G?myF;SOh{*QZKTJsVZ(iRK4SC-y z_kKXiw!%7F%lyZ^yHXJK@uAg_qRt`*HitMn>{X+O~!^XKxafH2TeXU{2!96-fVQ zi-4dzlla>ZQts+Y`_k@Xj!oG?wZF)NPIOk?#oYzNvkGA=-0WI>?v-iICPA;v+ z*D0H;6wu8*)-e}yXQ}JPX1}hV@PubftlD(zrTnVqYvT%2;uNp~cIn*pj6M9=eKN%U ztB3HWIRmzt@+M*Whe`6da@a{y{5s5eb^6oWhpn%A%q5lc#y7!kk}PX(YMLualNyvO zJ(4F3LN1_3SD??BGYRU41*8ua0t+A^&?TJCh}hijJuqw#2*+BCziNq?#sH>lrs=qH z-bq;v)zoU4=QLcT9q5#1=ckIW6O@2a+sb5C)6^${n*Z+rn#JT_02)l7vH_iLv{|UG|&0Q4HH$`o3BV9T)7r{S39b2&MzU znF}-0cpkpQZ-39d)Vjj1jG?&(B$DdPkG3z^OgdPUT!&8`9y>SAkL>hHHqpPD&0(5! zF>c;g7|G1B_t5k~4M>8_pA>KV@y@xQ5I9CM1v-h5$&0n9PX1>amKS@V8}J znt?3od<4JGU6eUk_LI>4ku8WCg3s3=a>WI0>%yu6GZ`;Ls(4$ZZ!NmaG!h{b$@SL8uZe_L2@PNTN@MExGNn zt={+4tTo2l%sxn&w4|fu;96oem)XyX@wxCGnEa4dW4Mus21+{@j&J;a@a&gPOl$=i zCEf{tLl_FN@gCK(G4C9Ze&R5gT*~Jbv+?__i!RmBI&+m+LC^@)%Bh(zsZ}tm)?D3G z+jX*zm`mL}v>;+LMhz_gq%{{Z!K+%f>SM@i<&U!TRN{Xzj{^rbuM5vXO@VG>Sgg15 z$6PJek1mKoc9O^~gTa(Wn(cOaTJC8Ihja-81f8?Hth9eBlAaDw?38NI3wK8c9I}Uk z(JW-qRsN)EsSxGHL$Fev9e>5B?tk#}a~catPj0?L7qP;)Cs{R`uJ;|L+K-lEtWM8)EZMDg4$XqVwgyQCPCsoWCgPwkf&G5ChFlG) z+O6>OvIwc?M>wzh8^g<@Jk`pEs`$+6Bq_Y(^sX90<+#bEd%MTKz#8LXC^YV-fiK(_ zFzx}O{wmMA++EHZwr5s1dd}{rKG`xl#6f??&rb$SO|Q2)(MQ!(DJcssdrz0lC#K1n z`&G!#muzlst$5?>k{bR^T1d5|#-pN74v2tQ-d?eUcB$+ihQH7EpH&;DLgoaKbND&p z#=~UGJQ?5};?U((R}H8d{ywM&{^lhHZ{$|u&nBgSug8aX0#ZMh6vO=0bl|c-886po z;7RxuMY=!dXYK)ZwPlNpaYr{zrTVx_DzG>M<VhLvY$+*;5qr=yDfL%Z?UyQe;v zY{(}zs^s;2K!o62Id&Ue$~&I5ezLyaKN0ZriQe)kKE01z?db7-eA35|eQ^i`;E=?0 z_6*q-h-gT3#SGse{ZHoOt7Cff^B~`d*8e_AuNNas>tK~psKtEY!NZ8jc0=}_qr~=m zDoJ_Zh+4Gribwu_ z#N^vLM^4DLZaTL(7|Hw$Ty3I>t2z;Ro#v(QQT zIO1V8MqZ3nhE7=xE#*-XLlZKikVgR3S=%P-s=t>6NY7z|Tc&o7_z{>uyS zhmQ&pm~%=Id3csI?k=a5UaYaHWt$(j3x@57R9qBnF5Da4Dl$U z-3TG@W0xDT`DMOn*jG5RwA%q}no|x>GpI$%|RYX)W`f>n$BoCQqo)Jd;Evvz3 zuI63j=Z#(QvarQ9@{ngFXDXS@BqVr0{vuEbn>d1kLR(1=f77k-nMpnhGE#cnRCl`Z z86Y4DRDNtz9;&_I+mJ~0t)qUH+?)f28 z?Fj+T(DT?a7&Wo;TfJAfBtNd?q2|x(zwy z&>v1Guu5YS-SLbuyVIWCOn)#cRDAE6FK2f=4Tnx)XK(jS_y8J?UqM>bA23OuAIsCF z5hhZ;x@x4|JzoxH)L3Rx5P>Mke%YRZ-;y=kvJa>at9G)=;!h1ON`KWlk=1&Gv+oom zUS$J;L)1&#cuTp{N*nHYQaCn|jYeZ>#ul_w6=G^T1ZslW>-Rq=FWAsCX;E&0`qwri zwFy}^=?@6^zJP6()A2pIYh`rF`!T(S2l&L&Y;%TA6Zc0xM>f7y!ljQH;viq~B>9oa z{TN1{xKDYV%643Neg09l?vjshPIS~>{%GmL<*$Q4;`65tMjtF$#%CgJpl^Tsy&S#b zM*44dvqtUv3o9Pq!~Hq+5{vpoDsj@1Nc?V<7bS|*+jdaMMf3z`m0-%nQbSWXQe-PN zZPUssDzc6|#mDvMiBd^!I2$+xQS7s~Wcv>Zdy9h%PT+++|7P9|@y-wE*B8+c_*lk8 zg0ndc&nku%%CbskU7r~Pp#DcF!FH``q}M)^+srBhh~_Eo`(pUZc^xCdK|BJgXYA}g zr8B~R;`RmZTS&Y~b1LGX6=9_n88~5Pzr`b5K%vj53p7I_-zK6&g4LtPNKh8f=Hj6A zs=W1&G8Pb&_d36#Us&Jgn>B3sbhpPpJ8a$v0X{Eb@l~D}VT|(FDizySOhA1{e z3a3C4rsq7PT-)I(LY1DgKJq$0yn?EtGLc)q;XW@j$Mv}nis+B0r}uC_RTwqjM3ht9 z*0!|CMARc5RJBvT)AEEecWXuuZ?o{R%1-_$SXV|9{S#P?e1%kKUb?gzi`(-vg0OIL zZqLaEibIb*?;~CS_ec;4O4v8XB3TcNfSXUQy#H{IonJP^`Q_=9iA1;nUEq4?wU6m9XAP~B zEM__Jk+8b!?Ss^HGZAi3+}%7v42tBNZ-lQajpXQ5NR{B}I~f_?5SOPQw#rrnX+v+# zsI{GqjY`RA!ehBM<`Vw$y2O}8x+x{AADmJaquHE@Y4?#2P2ruku;iINfC?|BZzaZ` z+?DL-fp{ha;%l9oFX6XjI=jaF1SCe5g6Im@Sixc~`j9xu)YMe4lSk$9vd4dE_wjNx6N-blUbW zFmH8I0#1AQYh}gsB=wKoNa#KZbc4TmQWjM(GVAT3`1`~CJvHxe4klQtdv!rUq9KJ+ zP3X0Znv3$zugVjY8*12P%U-0+@W}LCuPOE&)F|<#{8;pViQpMV>?D)$bS^iksbB?Z z;FISrzAc{5+_QVu5hYCy-(^Lj$dwWwf?}{6?RXWo0eubsLB!8VQUANf z964rbhNj_7`pesFb74EC=sT8`Sx)ZRh31As3td!NA|@b<*GJ!Ts{JE24aHrx2Crn& zl70X3EKZAKfY>3^-$9l*zHYqsWM&OLfIQD_$zw$;UWJsr_`u7*g`k zypH;PQLh#D+pF?%COyEN)%3#ojgJO4L{{%35ic{fz4|+_M|szjmNW+X69$fn($%z( zk?`9uv&%Di=h;sL;i?HOyV4_b7H%dVmxJ1J!~0gkJB=ecpTHCY1ZPeF$H%im*^R)@oiVk@rWf)(8bs$uY2y9Oha)nSXQ#XNBR=aq8x;J16f zhi2Fvv|oxV9W&sYu6R221l`pAEsQ7-h-$?I$k5flTNJ^`Ee?e|00N3ttPFZUEDQKS zgk{lg6o@%P<^Q5;j#_7=|6*cz9<M)}yCEk8-m95g( z1xviQYUaUahU{}@CZVoRq$BHsMm3l~KYxNBwb$NcVg+=oF?=XW0_-^H+{;H)AQp+} zgiT&tTu8kabuOYd7r%_Gbpb#vs!@sC@m}74N{Z#PY;wpl;xy%?Jo004=aq*oX~g8l z)l0-eDx&5UStS&1gl-kyI~9jLpz6niY_F!w*rg&8&F_Ug?sWi4{#%U`AG!vf7^i9; zt4xL8q)_5^3?>2fFD7a#4Y_|DS144uT4L81RSrk^^dC>-KD*7gVjdeN)^w^zm!5zn zAJ0Yd2t^R_SKbXAx6aXIB{1A#4^a}BFhIt5>UKh=77|vd3#w`*GmcVc0}02x3i4g& zy5K=;t5^!xH%DVO04_&wZhkpv*zzCE=p!5s_j!hyLYaAZ_Eas4X=QG`=+ulmz1*ez z@y%I1QRom=Vo+ntj+NCZ8v`d)Yqf>2?vuEQ1MHSK<_VM5wfuU~xA!X^Sa2OAmaSir zBuOJDCkNX2XdcMP-?2`40IK3h^s+Wn_80#g`b-V<;}ogJOMt2f8D$Lbi~DP!gwKAo ziAxqJ<>1=*uZvd{{j{!KHtLe4)SwGuno3QY z2UrbNw~88O)Q^RVYe{k1L}^kS^w5s|y*)=0&D#?^K2jH4|07B-9eUgv0J`o_6-M5M z0QGE3S1e z{WnqODaI-cMBFxh%_Da_cJNHUj+N;Uv*~JTYd6}Avw3vC18eyEX`5W8kX@dEAs-eQ zHoW^EPZ@Z1i__jmVgrKBzI=jk9bJ6_exIF(-Fgp(z)PiOWaxn=U|roUS6Wstr({s@#pZvlNk7a*m;E!Th&Gt@s(YJgYq6hAp~L~ z9y5pyhB*sYG+@{Y7YSy$DZ_mVQF; znBUb>bMa(*+M+-CWxgEUNCc!66h<*9Jq-s^d2*Y}%C=K1GAj+3U%Y6@&Tf0Iqp2xL z_mM@b%CtBB;NW0f-)A5U^V}D|c8cWjvI%=K%GaT!>FENDfE&xu#Fw`$Ipdr2{)p|a zE^**}WaLbPi-nVulfFJBKoZr(ssjVQZj6>BK@8+SCQ0XkmSzQ^<3~WLUK8xor>`*3 zw0%lUNZ7zGU+kP#UtgbO;NOswW6~W>K?S{Z0y_?9?V9sD)hijj*s2~9KAmxql9JMa z*`}l;Ss59%>IT~y{($B$;492-x=akm%V|WfKnkJ<$_6Lg&!f43FMr}?4b1SEiTs8*lB%LRn-aN!8Bfn zu1M1E7%CCZJ;T?pzcE)dKcJ$TpP3P~87t+n8T*iwv^x(M;pe|7D#%RbG?SK-i?Zts z2ncv45j|n%Ly^7$pb{7h1;Af3+j#%*fvp%paEF4 zYkDlXuXa4(53z$m2eVF#_c7J=nZ&fV%b)%i&dWWuHsePZZ*k1e4_3;`%CdY9q%<`r zOk#x0*-0e5^z}1k>84wJJVZsmcHoPor=+awD!(D5S9@`vlCsqgak8_sLm}V}h)PIc zyrAz{+V4Sq8dnIm%+Hg$*49j0Rl0;1KQO@zN!M&$eM?Sp${LO^=r@t?bhgahrCIN75V*`!+Zq)<~1CS38n zQP6`O-@IPcd?Ev^S(V|0XK-yCls|az02MgtkO5*pe7FO!5JmKweoRa((`)+pVIF#o z^z-vGt&u8HMGe?SkOS(ankc}$?_pF~E?BspKZlihCU36urd6hCeK`1BGRF zaB9-Cs(CmR-ew5e=QvYjnG!*eFjb+Zt$i`7VK8YfmG8W_(3XF@H8(dG7BU>f%NKx= zzDLX^==A%W45VfGfUoE~=z=kBIrz>jo#zZ%_j7X_8eZ`5@Vt02X~+)hut7n0pwR0G zVu<|I6|ANP5Cwb0m)!5}Bp_Q!^$pZg6}{O4?9{YK~z&yQ(k`X^P327Z*TYQ zsW(+mIZMq1iZB3Phq)R#3k!?WqoWCpot2f9%}t-H%X1x^gNvxlne#BRsLTO#EVR24 z(RjI*;E-k3z>8k2t*xD`P*YYm79l4C7sEUV3+lJ#CYzR_@;_U=INm(G-PD*y-=bl# z>DDi_-^QTV)R`~+;=((_e&NVfO>MM4g==JFL_k0wMb=zg94x4e5J*-H5;WxQjl6ve zR>bEV|MKVdra6p}qdXZ*aOp5a1>R!xU5!2~tKv;{$f+h*FBxT>rtNre>w`_q4a$X^ z@`cYZEYA7tf<0PJK>;J6Os7s+ulO+)6?FY4Eh1j6M7`}j6&gRa;@ZmQlH27sp66)| zPau=sp(FDSK)_00Qe9mg{QOUvb*=aEF7~K(Es_OGKv1w54yOXZcD9AAyEe`?d6bN9 z^z`&tWO|u*gy0U+s;N3DC!z)Xu)MrN?1HJR)oLUkdbvaeD1!Y398;ZLU10Nm(JVbX z^8^@}nbT^Jv}oEe+kOy9fnb!^`H+=RlI_^h)e$wcH4 z^X7EEv5(hV*)vRk9ixc$9EA#=-PeC>B|rX3T%f9|%9a*iL6)t%@P8sn3>T9 zo}3fCP)bftCLt$BWL=+U1qTNk85zN9!Noj$j|Y1b=(m}NzJGs8j22Y`4rg$$0dhmb z1WS3Y3<=%MEH2(*Dp@;QYAUcL#fs?sx$X*1RDqpinK=u+7k#W;kNolD^u)x(*jPiK zb#O$?R+@w=GN>{<0*xkDsz&_AZI|I%3HgZ{=DqK*get_~xE{E95S@Jx~ zp~hY&{6fXM+0Nbhx0DW|(!ud*3Z2MI4*X}j`T0&`g$;Ft5 zB)EzoOXPY)L4>y2%*@PXbNZMMlt=f(bD! zW=ORC;yZH%@Re&w@RfdeSQzzY^z!a5K5#8nM9!|uneKe-yFiGTMm!5NRwiJVgit4`~VZiVx9J~o|Fo7Y-6oG;R z?Z#c}{`Q(?3j%5F6RgzY&NAucoO4LMX3zbuDDsw;7Ll_Bv{nD>_aKOR zR}am#77I2LCgNSqHVPgex=idf7GT*eJVR`g4*kfHc=33!%B-&kt5r(WzToJ5HA`Xe zkL`22sa!<{_uV-PGP2b4^qDFC@0fW_zg-jecO3r1@|!(9peL-{dGKgIP&tIKxTzTB zt5Jg%Z{>LBy#4+#=t+nQ4^OR8;z%Q8R*$t=MFA()w`QB_8XHs1y*xVCnU-b^z=y9Z zYZClxB0KeQ-8fp}EwbKG{4a~y9`58N=`*pg`2G%~@7V&u;=OzK3_KTuv1TndHt;QM zFN}YG^l1O$UawPT0M8VBv;UmqMK?JJ#=j^O2Z1aojvSTA-@D5wSR!n3e`kFN5QtVv15jS4E{7Z1m{p=)3obWM|wf zwxA0$bF_8!f)WHh#x5XS?Qwsi&XVOkR7I0yYb>VJ>4oSP`Rj&BPPRnyl&!eQZeq3P zDR}y3MLMoJD|%4dBCSlIwxHx93t)$Cu750J(6V;3)yV?`eR0safU|RFAH)&x#dH5RF8T9Vvm;F>tut_N^?m;i`uq=fns&9z#w@_m+_0J{BP|UA{l4X`-ER~QARw{*AM>`o zolljMY!LiR@Y%upK{Tr(knkaDDMH*<1JBO7YqRHt1w_pcL{_QeRXbM&?Q4@Od>f+L z4D;ts5%uZx%J;unfc zU%_r$7(*ie^R)BJ>U$(OUFEa%D26{izY)*b_kbfZ6d7hfWDBOQ>$7f=sj*Zpi@~^O z66JbL`Q!Me?0ukJ$<7YBoS*>acS@fvjzFV@6hAL7FU}O()16rq6cn&-IGUU1yGRkL zrK_&I_Vhdhi9l0R6NofX05GtoYvU(%;gU2@@hd?{ol(Dp3wrej_5_MS<^F(stm#j$ zFVxFH(ca`+`z)ycG4uCt!FNN=#H+OhM=a)9JrEy6DShMCMkN;o+ zm-dlU>gyE2FA1GNHfLuWEz@ahYXeW7K5btya3;$6X{f3_&=m*iO=Ih`f!_(p9Q*!h z;zbVIE)(AL;`FN(EUcF*@g2Y?7z`O=`ibIXciw@W|!I z(~2*8Ea>^A=w<^!287Al@V!#O2v%@Ah}1IqoPL7|#F^g{oHzJCfNJtHH{<=rKJp*Z z-lQH!gZi-t^!<<@6O*5s>IGAdyq3o0ONEZO#d{niCobX{@v>_d0^kG|m62*4AnN)3 z=iY}ryt%iyzu(fc(7jTgQ-LLs$P%T1 z#!Hw%=kv{V3LJnY2Q}bhF*Iqbw-!lWMd&x*BbTuFHYg}44iblgK3(_h{^OfXuyvLk zzhso(DRIPc0`ILD#DJ=T%Yu9`y@d^j;Oxv%667g;)6>)7sGb~1J)-*AmNTQNB) zX?$eFC!}?R|Q%A{H22Q^cL^RwPpUlp&i_rpQ+fLr0Bl_v1Mg@Z;2R6Rt5%70KJCNdCGw2)%j{pPEMBB zAJPjo?0ffaI=KIZ6>$iMRaX;SWauW}&KRFnT*ul_2zh_#SY*+GMP8!f0b*ie+++j9 z2EH609qPaIcmMt)$X&X3kpkz`vJG9KAcT5IO|ZpSmF!nZ=FP*oGCSs4*OQW8k19cnSGw_MC@=w_PvslFG^u*w zPBA(Vx?(>2?aJ`#=Dh$Qk*>5JW#TORVR^DMtD~nUSM6(SYpbgI!A7EwZp8DH7!=KN z+y3Q9q}w&W^)HHfaQw@Y_;1tZ<#CoGL(S}Amvt?ywidT3jq65|Ciu+Br%d|@``EkX z^;0Wr>niQCpr?qIC}PqU_WCI}MY9wB*U`~j|Cngrgf4-RD8jB9T*aI~iGRDB0_)#8a5CA=MgNNq{Ey=PKO$ln(~5b~5FQf)JsjZe zJp$EA;fu9r(=t!v)=uHqevXdpz=y=dmaB`+9jtx(Nv{9F+FjWLU#6* z0kQn74A38-u66UOhZO`>v5obLsn>Kkpr|r^vYX>}BnP&`2`QI(tW`qq5xDj-UUmH~ z2Bl`TIWD7vjg8Nr6pO8KX?b~jOUo|jM!&vBY>^~=l4FqMAybjH$-N7t!qZd|T1HNF6 z4aKL*4@`)uSrUVAXse*`s#8g)?@FJY8HRx=yOz@ng(-)>5q7z6!?yI| zH8m}*k8?%VIdclbWP(hV5^fOLea9`&V>mX%sy3vw|Ly8s)_$2WYg};6^nL^clGgv{ zZi7^=@AytaXTfIAHxNWi3>5wWae_%#nhXy}@-PCip)UpwtO!x>evb1E`Sp z_sc4`+RyS=PhOsYgy(QjfQ4u?34Xa!s76aiw=-SmFkY_5lxV&GyA$TE$~3Cu&~n@@ zas_6zsqrO8FQy10R*(}x;FkviyUiUd&Kec^a^FGOPWGS=ymyDW<`h#^?rB2IJ0R$( z)noxhjB^m{1BP?WUcg=*9J#%cWI&lxUupo?e?oAH+=W604QGY263TmD708`tmA&C3#^i2Z0cRPC)LpVA1_wWo<2}r z$(;KjDD~Kqo8Glr(dwIwj!esS9uWSbuC{n#oMJ09 zp>FZVEmDp_waouiYz4m9oX$g`1_o55cFIhNz^Cy|JDW1iN>rfr{13T~l%1U&SYq__ z^z7`)T;d4$GvpZ_fgYy9Bv#RO7HUJ{&J_5fyfa3p~%TVN&1MQr-bHx0{~ z(hstBp|gd+<)=&;@&zO7J@Z^AVEtucW(LV6U^S9&qPn^-rK}9lW8jqXaq4#C6TG7*AgCGA-BNmX$arvyg2J;P4 zh+usYWeItPGS6D8NwMk@BZqSOB>|~9vMhFXOdQhl7cVw9HmVgG%gM;JL&YbiEKGi4 z{BL8oZ}Kl=*O~e$0EMW6@AzPQ|M!a~e4+X|1|)1Z7^lH>nwolBp&oh>-D|+ikQozG z=kVa5K^Sz5YJ}t6-*rZK@c@V;xk>9UTK=^UPoO7I|HX-)4STe?e?eYeNQ|vrV2u-s zd(wfO?k9<42GlXot)of@Gd-rpS{-xVFKwH67f$@LY(0p}!W1Y8kN#aj==Sb9os$&T zSQij?mWj3Ge5inf&?}ur#CUX#E4Lg}YT$;ujRgLfy`*`G{uht)fUBS&f&`D>wMl#h zYPkeXR7?6$wV&gANp32CDV-b@+8216P7k7vei5-yoNycT941-}{we&O*C@ZDcg6UR z{e7y!vFFYTZ%#U`Iq6>5nePPWHO`kWO{gpW(8AX=mJ1;!=*fFO0DP}-C%(r>VL@M-p4Klw<8o@O*}e zNDlkG<+7DY2nc2-CYUXTzd)>B<^eSt3A@?a+FDw6HW={i?DVsxm6iNdR8*|2th~H# zFqJ^dV=7c6@l8Mg+5IPi#>R86F5ux~J?c9cx8ek~@$;v3XOj4B)1(l7ysKA1q%}OU zEjV0ul7}A-WdP)Fc*Mj9eN`v+5Xoryk16t|v{j|Mz%ppax8o_v9?kcp8aXh4#3Q#} z&pE%d`9(03-pQ>0jN!}toY0)yy=mcUmV$Z)enIWg)BW?d?v49eFH@@6OgzpVcP{0a z`c-yHX%q0Thp)ZKO`DpC-(_5Sc*Hg9KQVdkxZPh5O)!_^$m)QgV%{Nv&cctuVWYag z5o2*tDc-}-M);^ye9@{vZu8vkPFfb(9 zz^#k~M?{FQpT)!s+jU?)iHU*L&U0_v7qNn`sje23kB^NdBP87YhDi||sivluWVN?8 z4$*8b1Y{lq>+VE6E?aX@8;yD#nj;_YE{%F#1tO5?I<|R!BLv)F9QX+X zP;@(7qAy#+$f1gkAhVTo05YGKFEwTwLr5+(@_E6aCG|49`OMr(33jHjPv=D(DU0Xp z|8{`$8s7aOgS*K%i-Y3O3k+L7@HkpTH^ElXW$|NSMZun+VG{vO0Om+t!~)IsnU)N!_7mB*`|Zr7S*X`(P=E@2=d z`i1xUC^^!R)F)FV-@Tb&|5|5@xw8G&5OpVA|7^dC^xz;5hL?z%>vTaW!F&PrL{hd| zf#KHN&s3Rsz!n^3wxBoe{I--kAQAnIx@noVqUv?7uK3+-DVnqkZ{GUNvN#-dc4;{$ z8hwr)yWG5U+Lii-&_O!Keea@w?ZQK`Wz3E|&hjUXp?6?YtORW*EiL`$H&uggnxVj; z+)R7dU1qCg+S$fz$>r1R==_);l}wzbnp)|zE-F(@Kr+s6voBIB;NpkcgiA>E z2{b!uk`Wo#8)67jCcDl$>??(zLu~3VQC(8@In2ezv<@@$_{QgRaxBV-8z_ErT0|{9 zF?uX{qzkQ@{g9G9U0nnCtIFB=zHk4?K4y2QMx-zvdc-=oBza8KHjBbYWqbwvi2xy4}M>? zh-BHNAPxJJcCX68xHg-jnCqf?JjE6E^&Z2QCkH=!_Uli+Kec^G%|N*gCxoH#_#HmO zQcO#X9GW0}xTdnE_$tZr{Snu|oJu?QY8LTxeD=;`k5T_BuLzg;klFS$Wia|G|GJXI zh!x*v>xG^C_J3LG9&dWhRwVXo(wmhz-NERf#ok&nv1rwWT6b$|$opscx7hI?#O`w$Jd(ocACLx-q`x`z)uZ2PCKJ(m-Q|K645-JR93chnf1 zv*SjrtgN7vVkY5*m8!eFkV*;O6TB+E9%4e6{&2Z;w~!n8HDL3$BrfZnx$})h=~ENu zvk2!GU)l_PbqKX1rlUARhfM#PVi`Kvds`g-_t{l$r&p?NrWhc{iLzQZ))t<-%7H_)#zt<`s^%sF0!7~7;-sb+iwxi z^Emkwr$0}i@ZltC6DohIy|?>%zuY|b=w7mLszL!*wzIR6(lz8QF)w%w=l<3wCdckDjk&%kE%?EGu7BNMG@J?T7gxahJH`=jw-T)(0QwwezGDAM=lDYlw}1Wx+f+ALs!#x}x6tw@ns z@rv85L9cHc*yoiMUq;TgpOpLGKT4H}D{_!MR)(^~#KZ*lO0alAWf?77q0Zu{-tnyB zc45Pp!W5DD+_9vg@^ht_*ec!cozDoByNOm_|?$0dAa%GL6kSR7l%x zxpn%7@s~!ZdirJozQg5*$A1kUCFnS%&TvH4)V0Q+TTA91^mD6{h)Y_kTC2;ZZ2a`J#-N$W2NW5=eDPLBnL)G@wu_J@fw+U ze)of|XQq!(vr-c()0d|O5@Z2r`tj7-QzE0Ys|)N|akbR0<7r0Eo9Uew8NaT9aT<1z zk&#hY$U5oxNJIp-;z*CEs3>u)F4&m)-CZ6$_*TAJIYjc465hnzvo%%u>G}D_*-c1r z^%D1|b>ax{s3f7-M*UU#<=X0m06%Z!ekj>Ud9&HbH=)YCJ3~^}MIGA0NB~ zZ+M=gth_v)*E!UqRJXl#JZg=iEfsu3x(eXTH(}H3*79>0< zWf19GhDWHg=R(69p{S&&h+$4#MF>4Y&7P1yl-W)_y(r|TI?nOS7#Q6DesT;IuJ4v@JBr`=p| z5yk`fyI?l!hGg1q1IX^u(&iw??8W*04trlko}w;+S9A#DA9%Oge{MN1aiw+%8JV#% z`^=)mxtye=Bq(bOc=)p7S4!y{hve5$cZ<91qHPAmMsGR9k~`s~Y6qpNz}20SoD3e! zr`ZFTQPtMgHnKFf02eF_Dk$%I8OB#XkdW9uM{(=3)-^^=hdEux9pk1#*+as*3v-e2 zvrRTDyS}r-w_aV&FY8Up`10jFzMH$dGq3ik(2agr&(%a&>qK!T&AFi4-I|D{*3j5 z`B3pll_v#)j*bq4f8U3N36V=alIw<)k?26J*h~#ZI}E)0@IeA|t&ut&pOCO?@&#Pn zhX5BKH@LXCn3zHol@%4wdq14H$*Qm}8O40(&K+;M5iz-LSbM<xnBN-;sNeg_7sb0gT#AP%gPA9d^D-Q7Smf-cm~-O^R+-1DKiZwp6e~;2jg7r_ zHfk)Tq&N!%QF%-vP^sT|MS&2r4VPnarDqY-IiK{4876}^8fZ6tqM$oUkkPsE>(GP) z)2L2+!{0w3AiPl@=A3~G349?rm(6YQ40#0wD2Snmv#!HHpuEL@Q~{PGIXQWzN-hZh zlexs8xojYwd7L+(*1SlYt_h*ihKONM6aP)*<94y0JvA1?H zgv+`y&!euAFR&XqC`LEw=}bqCSPJ0Ue%3{+e#zbR&1d_7RoA)5#VgfaB@jjLyL{IZ z4}bX*191ZI!Pz-HGP0|xONOmTeR+JG2{s=v0<+W#>dX!?Fma5F)KL&YBMl7=tR(Bb zkjH~P>}XYGQdBmgIR&o#Ys00~xWc}mcFQAlazJGr^cI)aJ?yKYo>->jkyViFJu~H?pN=D7y zh%DVRKjL5A-*5uLhcgd%NBzxdU~0rn;;6J4G@282re0i7DqFQ|ij*pvwN$;hWRK1X6y*y`Uqh8MCmH&ieyU}BTiE`T=(9W^?22~nALTL zt?wNipjX%U;_{Hlq~7g5fN`B4)H-U#6^R2XCj$&odpYHleHqB#po7jtp_{gV&sV)YGMO<80I^!xH9;|9y>)9yLB9oW#ndXj^s1fNNUB6x0=YlsPo9(&Dg6a#P zJ`mgKAT%2+6sHO^AFHe=E(XYyc$OA5FBjtU9PNsQr6tK3Oj0jiKY!Bk@qziEquVDJ!n@t)5V+jG%I7%b>5XJ^a1kikfmCS+s(93@@tAs{ zsxS~;Q*#({JV9+k1B0K@Fn%1|-@8}ez@nf?qg7%-hT!Al3qN{fK9FDgOrl07fu*UzI~*AnUkAH@8_ ziQ+4;Ek==xaJfNpf#Ib{v%K+rX!Z8_7aq~r(iU?pJQ#ell`aq7>S`C(e>DzflQpfJ z??~-P)B{3y8Ios8SAVemO@iZ1HoVoEwpa7saS$SbESg6^!eUyShgzvzA`L|Iu` zWTt@fA{G$H*x0;|D>1*f=&i!l~BxbfjB$PVq{mCd^Am@E=+eGpQ> zci7XYZ7cF+dYF)<8}#!+!5}|sgwTc)Z=UL~Whl)Ct8E!7-a)}KK*v`D+-hrM(}3Z3 z*H69DjSKlvUk?ou!6nAOxA>57)d+eG0x~kGg@E{glfSldw?DV?vJQSOuBgfw6*;+^ z_*ktt_by$(@5NsRm(onMWu@-xv2JJRS1aFIv6bNp%j0akFh z73LyAsyDQ?8FJ#z&(8y8z4f?M^8~P8v}#bUIv)E5p-1=d{lN5&c=xWOmAjI+t?7bA z;tLI&raht+R~_uTA*|l6C0WXLN3$RBylM89pRL-Bn>?GWkEG+0cb#!K4$n_<-F89T zodc*kY682st>5A%waDKp7x=aOnk-^KnCM z0u49pvBJW_OG70xRAKa5Wvu-CaknXA%^_=61qaY^Ra-}AOhwx{nbH*Mw(ltB9m{(H z;_PS^BOLJz$y&<=UT8#lT|em#po>kZ8x*pz-zJ4+eE$3yIQqx8Lj{iKW$a>7e$>@9 z>F2+Fi|y#R3+^y2(N}qgtK^%{ghOCV((w|DLo2ltO^u_EkL9G6#df*e{L)C*zc}aeB>`PE!OiwFm zYfH}(9jj_5WInSLEjR{4|oCp{y{4m7xCB!1I}arECOreHatq>e!Zn1z!g9pLFs`Ypx;JE zv%AXRjJadMd8ajill@7-vmsk5uhyn<)%*JmJT6 z_^eyOQy<;>BB;F&@hZV1L8hd9w&q{Bgs&V%Zx|>n?`uYs3mtCTn9nlofxuso0u`!1 z&h?l0kja;qI28%Kp!b)^P*zfkT7E^|-?g}HR=nTLDpS0>zK-UVpU*6xE1%xtYtao| zHt1gQ@j4K#8%>tvant=K|WXoB{qH<85l1huNM!96%3vXg)gTBqDc}|PH*%Hb5FA3wgd328& zcl2k9fLT%V^uZ?jFg-UXhNb_}|Ms`o0G-@E9zreP{$CtXva++WMpc3s9(Ikb&HY#b|#<(>>V5o<0f0it-4K$ z5)&tZg!F!>D=Lyv7NmdSR){fFMgXvZ8X=2P*oIgXHb$E8Cdkh_!?D*(T*+@=6<1X3 ze$S+rk(n9EptS(++Ge_mf%H4*NdO)I88$UFEmF@O___vrKla6ohlgXQqch(w0}92& z#009_jNKK=1&Dzmz1!*ylu=wo_Z~!$Hz9#4O+5?_S+3hu^`9hGdX^hFhtk`|V#c#m zu*=&dmd#YJtgyproYzVJi6NL+cllQf5y?zvM-t_-6wJB=T-DBQ3y5bN3jX2!L}4&M z6x2mCK)Yv}HowzG73z&y_@UF&Gc#~Q$wJeq@U3*kGPpN=>i!;aK^s$!PL&5=MKMz; zbjls zZa_a11H%f8NB@ZHi!T}L3(gMu?{Z&JM@J@b8oVZ`#I(yD=+jqiM%ScY+?XqA9GUXr zFJS4gUCAW;aed~IYm5ImHH@Mek_#}XE5F2`iYd{)iTKT|{)3ShOmXw=`@v0m&TL6f zGRP6QyOEEdKX>GhgA`hz(v&UDy$%G`qeo|>dUs&+I(PQ$&kL9j>;7peB-9tOq++Sn zLVuc~hDLNq$oS+W9ubi^l^CcXQ-B}M)eQ{|J0}GzvT|!Td4$O`9p*Z2{*HOl=t+^{;~Sxq5-#szP;`Nm8Tx;ouDV+*X2r%d-v|KvTgytytFYIb+}pydyD}@%*aRO z%u{H6Eb-mhNQ&cUP|zl6rXZO?M@*VNPgvc7-iFHDFfvSJie@A}@Qo`MIsCw5Ra5zE zSFY%OeLxdl>`XJc`h&#sD;k12myhcUzfG>k#KuZhMDmt&Eiv4pr0nYK1h(<#z)3lD zW#il-9o+ z_>wztH0{uB*qw~6AqUfepD^o9ueDgN=jpCq=e^ORO?--8z4lRn8ib60>u1~pt-C+&>ZndR5UDqz2N7g zTXHZB{vOF`fAm5;uTl)dpWX`gvCN+yNbP?;kRgA6|M~S=*!Y+PuwzG8QT8e9a~(2@ zxaZIJf3en+md0^Lu0E23Rt2Ni0?f=d1NjD1SoaV&p!cC`*gTg^r9LwKri>h>*Soy9 zdwQ(`H~ILx`3k-T`SGXTK;0p(0jn6ZmaN)+U$pO7;Vzr8ex4%U>i4nXN+H|*yHTr`ScIOR z_5J(9WO*+81;tQBsSm8;43S}DlV84Y`h6O8o+ZP@4T4@3YHDiFt)HUUT0o{70eTz@ z4zQ+XjJ5m2hcAS04S+9FUVaG3)m^_^+bIV!FbF|R?D897bLDKNp3|fK&1+b-fbW3c z-kJQEkWN)F6c+)HvcJSKUXn_q%jB7JiRBp7B6S+|0VIwa zQ;k3in6eVj>=Dwd|Cn6oKRvQ7)da&R6jt!iq$c%xgAJ#u9GlMu$pW*RQXb3Zc_Qg- zEUI^imlI?c9b?0+xw86FoLVWCLo~F{BGxap>>%B&%Gj`*_{!GBoxX%75ktg1Y6y|h@kQ@ zM9G3Hn$UXzjfoo@HV3=g=?+j)iic5!*uZnQz*iFA2MS3&TN#WO{d_+^EdKcR;UM^P zW{+K)@cA?72&c!96ELFi0&%UX`u^-8Cc?v04z3flJRl9Nt+7mc=PKs^Vb2s-4VVXu z7GiikO!xviH5$?(XK-sda+t1F{aa#M5m(c$k#O->Zqk0LZLVu=#l zH80|TonIIOJVG&FInB~X^-aW>QIi#vw^ZdH5yXMta0v%zXKO3T(Jo@04UOJ=;MDL?00 zIS!V?XoyH@x!F;X zWERUAoxGPkISeN2mwg}}p0zPM~>6cn&*J_-5_8C6(M`UC{D z0%X+S>iRr=4+aSTPcW9^Ei`5@{L`oTzc{JXR22`wB7XgF8a30E1aX& zP%f;Bjl9_Blq8YBjtIit6mC=GPv$TA#8RcPqKu5li07INWip1BODun98~f-`qV$l9 zy`|@tAhP%I^O3N-?+GPzH3va(1pWKtHNHI8FyIJCKO;+@*xb*_q2Ck(eJ4p(ATJi- z2qZCldUg(uuqbZf2M->=TZTdy`y2+5)vdYm{yF9-=L)C{TVXdLu*Xuj6 z`LFh2_jJ@XIxf-7r)xR2l%rSJ;-_CZnAY2frK6)Ol+=e3R}w6rD+{y#6gAtnUnHff zm;u`@wVf?ahi;gbrlx!e-iC#S$$F4!`pbeKL{4i$GCZKU)4Q@)gqD`p6gX_umq22Q zj)BpR%1ZzEs=urom(`mnlMn>N^**_C-GaFe#x{vjG%xCpyVHMO)# zHJgvF!o&@5Vxl`s4fN@Xo21)K6c-&0ABzvz(4yusEm;0t1w<#&+_(V`jtYP{W9m5{ z{v&#wN>W55i2Qh?nKA6PNP_IraA`qO(iuef_nv>e0~Wcykr75Ub-bI+$&qt@M{83! zEkIvoz)C`Iy|<4Kh#2IH)%f=$@h}AS7$GQ|Qw})1Jwkc@%3!e9>;L7@X#C~SG!`_^ zTl`iG4WJl8d=ngt-EC}ao<6;mo|Tq%8Oys)$TU`6gsP(}(4%ty&C%dw$vcR2OyZe) z!&;xh16M3hCPL{-G;3tXE^hhEOsH!`HxcRL_}96F<|`ZZN8Hg>O*w}U@Yh6hwFG!L zuca<@IYuK-vIHF0g&A`$T}0jyAGev!$9^b2g!OMr(aG#nS!ybEd^=1gfu`kNtTf-Z zBpfSKjbSiQ@1wB1I17;K%2VInM3JNUX5zoXq z^NvDq#-(#LU#usgW9A|P5%80_v3F3jqcCwXDXBX|*MyFK$1*Uy!T|~;aBCYI8qf?fV?YM8ZylLWR@JKrv8bZaG4S`;U1n9N*_il-5Nr~eiVGWEI2ne+Cs0V8Gh z{#hQXii%*o^my-}KSvNaTFTm}7dd!h*RLBN5rl|!ufIH)em+sAdJ#$W2v0p?U(hqE z;kPe{d)uo?XYroDJG`_~0qW6X*VS6~@Jp8l9Z0$~NjYI2dFVy}mVt;gJwm#duAFJ< zk;Kd^Pek5pvWG)DBi;S(TdWZYN5_0UPg9RhQO?!58GYNlFA1OF*_VB*v?9J+3oY!h zq!7UVuOugjh5$|t);ffDP;DyvHEp19cKvAp+JQmqPqBga0O$eu0FC!x6F?K!x0jgE z89khG$-nkf^SPJLkIG9+qwwdlmv=1F_n^INwk1jkGH2$hUkrRmIx5TAl<9KHuLugl zMRg2?xP)hDbhRj{W84!Xu}7eoPB-qx@Y3wDACqFFWD(Cbo7QAZde1`1*H%%N$2$koPzw{=GOzq| z5DcF1{+y6sgCCgd`}^zzl@W&Q5uG`MD%NeriY_?Oa126Q!!P z9Ba^={P-c9r~1`?Q8`(D9|n2YCxy*Ox8-}}^F=*hnVl8wt+*)^UB}HPHxe=w+JC`` z6uCik4fz5mu*-0-UeUeY+qbMWimWGPqhDp;V3)@|anZK@i}*s(YJ4b7+Dx|XE5jiU zxmJp}bY?pbUUmOmH=%Hjm#dC`L7Q$dwjgTOTT=@$&|A2!E6{#%2k~ znSN&Pb1#H}gQlmLwD*;jk+*ug=GeVEy9*BbG0Wdc;(zECz}46oac$XhcKSOTk9^U+ z#*(s-!JU_dDUBZ!uyKm%Pv;wz%6{H#b55pVzZg-6b=zhc)5xSD1@^YNxjC3PM9S~h ze~Sra!pmh-D!K8G^%PB)NM$QG>oe1OcRvQx1=@)wpeE^L6u+!)dpw@^iut^1?K(;nKw0dCB%>@x~Zd%%nuGLYu&DM_}KLYn-irFIogu7qu z1Z;b1JeN_`%P)^s970{wdnsM#Unx_!+@F&$)V%h6 zuc3s>`I`lRIyZcsy?TzS<@IL=e7KSi3dj0{w*mNozVHpzGmje^8g5*qfe|dZ+7*Mh z+;@ayV1Xg#by|ZCBfW3@+0*+8(h1r-L-`u<{GUC_QZo}<f6e51^{`UgaxS3_ z*qv=$xE!toCC01u#0SqReK040b_y7qlKIlTa=nfO+MGaM$6X-dcUgEUvL2l!S^E^4fX=l?WUtXexi~5A{ z`GnNRi(>zFNV3}DTQ*Ot^Z1QRI1X(A3VgiT%F;M#_w^^!o%pC(66;2ukOKGXD>eB=cX9^f!>iSok+c!ejIBp^y+P;}LHa zkYs9hc6GRP6MFPqZEZIJ=|8C>vBW0jw1W2blnK_NG3dg9C9t#d)2D}b@pAyYX|+a! z-3~LqpkO|dOsCgyoaJj&&9Io-V8_9k%|GdpfjzYap)Cq?D-f4;{#-i{pD$`>5U&Th^t_uTgQ0lH{b$qrWlhl* z9yMYG<&h_pZKt@%7w_BHA5IAB>u`{}_LHra95fVKhwgR2=gaulQ)RfixNPjZr7I5h z_Zw$>(J|b-`QTQ_*VB_jul?u(O9o6Z9A#=RMM~Nd&J2CEr z2A-#KpJW$}a7;^MD)c>Tf10u-fh*!&%R+-VIZeI_bNyIwdV8`7+CJnLd={fD3EYa5 za}&Q)SBO~JY?3HD%~Jh+2P>P0ddCcgcaFxsG}i392+)JB*C0FshJ@ zmxL4tmH30+1#aOs8-SA6+09hp`6$Yn26?Iw62KA(kpi3RSM#0669NuPs-WuNWoAZK z!Tw1-8<+qNbe2kOuESGjMS#a+0Jm?JsL2V;!1HD~08hiuXzKF})cc z3U@7d=$s>Y3GqB!4=H)PIue$Ubx)zORu@m3zUt(TR^y)(cy0P06!^SU&$NKb7#9{| zAI|ahVO@xXtI>n$Y>IcGw8)JL*PpIW=xWFx|5v^l_ByQ`b6$Cv=IOc==|eYXXle=r ztd{2I2XK{dtZ#3h^#bxaG?FIVZxo-HnA@n0^uPdE;y)N~fF$u37Bzf@22lVt@*WZ< z5NJaqwNPKT_&m@n7|>)W0ko~M*cA#M7`X+*gJ6Bg8(0E7)v9#(#S3%=>kosue~K_Z zqSKrL7U#CVSOBeZ7!t+$Tj8ZZN(?}ycBNbCBom&88wrw@)>pKZ%jQW*?%N8bocO+W z#ff%BWdYA}VCUmgqJt%Fo>4u=bH?HHCA22**y^_5l}$Szw7T&5_i#Hcap?Pu1rw1C zCyI21V=VnX02HRP?T&wVI?v-ArX*n6t3Xup6r@&`5|WZYOlXu?DA9xid>c2A!#zZf z%>5*r)QxjE)P0SI08w1xd3xgD2qKQ>>V*e#-Ox@L{QmtOP!;a$wS-7;WaKW)%Yxw^ zyl#8JHRHkKc}GWX1@%LQRkzJxyk`C=4$;Q#|3UsRNoR0#%4rRM#PC8?Nb=+_B7vHl z?J8X)ADkVO4{`d!4cXYfPO!}7DZX6nW~OdwYaIDfSz1~;B27Mel(Tfy8@R;4+il*q zl*S%jU)jW1ZaFhy$XE}{)Un26)Q}eFSqDx5HN>pFx3^fKs@I)hzerj_0_-2qcrVXg z0?leR@mKfQR71$agbpWE0gMPfeE1za-q_gKMp6?LkZ#NhRyhRepY!sf?(3q@cPR>B zTf^hXpop28o`#bSR*1yyP~hhr_g|3;cnsInQ2w4XxB?x(XAx*Uym~b>HrCwIk^&D; z$a5u@Tl;F2*zLgrBV1?lSIR>+%P33>@H!{}K{&u5BhIlGI5LWaw3m=z*6-Q!40vmt zA(esLLWcrt**6=DYA|B!FljQc9VF+WQv*~XL{FKERfL9Ir6kLJm#MX+%E$Uz>7Z*? z$neP9Bfan0k#B28`6-@%%{CdY(2%}ik!V1^^7Si+b8WbE1g;GQB=78TE!~f+Qivmm zGlxQ~i*swE;^N53$lT$$0Q2QY4;73{Sz(~!`o7!2fFcCmRAFlOZeN6F1$P574t>ek zhR+KU%2;BJ5^pVzU^G0O@!x3+4*d{lT&#T#MybUP^4u$Sk{&(7PJn9v~q zq=+7g_*_3=x;6_o7o=ui0bx5Z;E-tm=V4-Hg&*|A;NalnNCx1hykEUKf~OmU>B(5R z_eqtG-PL0d$|;ylCskKqPO+>OtEtg1tLar*HOD! zWjFTBgWy!YdtoF84baDy(@P(4ElGOkR&-^RoTy{Ctxm;_y8DcSdfKcF#A$3}TMd*# zrjIL?f?NkiOQ)L#M}}o?J&hD)JRn4_Z*|8mRk2i6OdaJs=o%wt6L{${fcId>IA)4R z6O<*THRUVWv6mNVD4YKZ>>_sm2<)IoUybLkzw>?&lS_r}n1`FHAhrHKROZ5+s$2t; zgNnb&OvA`}UvAVOw2bWR)`o_)_4PMz-!5S~a$P@cpH;~s`>x=_TlXKi>4F=mxJ?Uf zbx?Mi)4;&2hNE?Iwtw?Y$}+3?+iK9w_Wb#CDBlWD2vxW1fBNV)OHxo|`yYA}<&oth zi!zEjfVl#RzqzsDu+*=+tXekl4?}GDn`6lIS+rk+MWz}h#qL&5p#X&5OBq(Ey(9|rHUsVhdAS~JhXkGiv(Al_Cp+z%Wb>XsU)+_!o%Qq>elu;?a`k)+ z#?eS?NdfDT=6m~DTW1)>iiYZ)1B)W&tPnV{qunn1xqBQ_17lkoR(#o?KU;yh2B9}- z$dUQ_ZwXzA7O2qfQYH^i5yS6z&o)Z4JV%@M&`d|$}aZhvpyK51=kc2Gkj z!gof1&>vDe{YR)Gta*^?7EIl)pL|n0q5U}HHB8WGi5IBi;rn`2pNHjraO53&IK2^A zNG&s#a!~~Z4J*oMYu^n$oi)KglB8@%h<|MjKKD)1*33=zO{_d9or!*^bf|@aRI7Tf zOuW&){Y=4Ri>Dyj(ZmjW`LCES*PHO43i%P?f%r<&p9I$ZLL+5`%r<_<_R*(ApF zH^eJs6dbSL-IMT~YhX)PJS#$ZH%Znhb)h`#md{QKHpv1Ty~X|LR&*q`ZLKD#1Z!21 zWsAl7yBAZU#)@Kgrm2?DJ>Hh%(pL$$qm1PhblkOM?hkYWz2SL+%rhU zXz+RvX~FEc_+IIjcYE^7W+DLN?fKZ{M!LGf+Gigpch=R_X$K~L`EngOgZ?1W6)2cW z|ALyYQz49}OjNwxt!9UJ4rv3mGjDps?_wggk_{!the4rL9*j9E^PwUx_c`JO25UNo zztTVc3NBcUA^mH1Jo(>|9_qw9E)N=miL_R`@~a$S~aS?RP;;hDMe3Mtrug*sXE;aP^5qdP!p$R6NR0u+w`9GwjWlQ6miwIkh39`05 zEpwev#4;mY?tWEC!7`d)LidTXvDDbma(&In6(l25L)u?NifEU`Eba7j!pZW=L|raf z1x10@Ug`Z^z3g@vNq&&xK;@`_>YwrL%4E^Tz`#KJn3dIH)=W{bdh*`AuejJzgjXKVy2z@_Z+UFuwTXqu&Vk>eM;c}dc*IATRrVbH9s>jCSTL!J| z?2p4`R z`XQwQ>G8Uqq_c&BmUk3X`pzJ6ae>=5myrGeft?Eaz3FdJ1-pYI-s|e9?|p&n?T`T89BV@t)%*4+_8&(@ zB&8A@+&{R!k5F~i%p}gb_x@mM{dTL002pj=Xh7dkuo_>kcvCYDD4(ckJ;c;SrD%RJ zIWRj3;{J~xZxk$p_<*2EI=?fUiQU)0sGf*r&{H-kSGbe8HNMsGSrIo6Ph0Re^vP1@ zwV|H0xsb{>UJXV@(Sqdxy0tBk7rmMrzGZ_Zva;%pa&qSw%H20XOZ;venF90G*rrtp7K zqw2(z-YUBN-{cd;4;X{6G)&d}fz$ev>TotKI>tGti10=aUX9_7kITO_{+7A@$r~Y> zcSGxOt&feL3n1?#qS5&@WpWQt zC!TroPpsSC)-)gz zMSi{k{~oL`*y53^NgqH&mao6=grsGvlyR2aMjM#*i;Lyj@_t0GM{U$L%H;ZWY8Zwv zIZRFcn*IJ&=b{G# zfj<(-4!yUL=?}o)dbcf_5l7%DwNa^_!D&;lSWqdea~Y`O>(`xDhPnPgud4nUq=w!< z6OHQCI)BslKWYre-QUS``uOeG50y!Lo7&*nI3jk_A0wNOv@%g%_T{G?r=l5m+0G*B z;mWyP&~)ZlN{+G%Uq3jN$#|D9g2?ikbg)0OSJ#SM{5@m$I<#*}Xbqh~2G0d3C-*!{ zW9a)W_n78RZ8MPSYKxq5ox~pF@FKrD8s|U%jpQ?T>1)xg#d*)%tIMQQVLYg^-*3um z?q1i2N2M@Qw7k5FF*7q0NWttYSK$M^>gd9ZPy79#5Ph^`&rjT_zmsMB4=(nf&-ec@ zwV}GsEo|)huf}l;H1fXFLj}ymfZB@iYWvR^NYO)ghDk*ZN}}WX3pi~!v#0xd9EU`_ zvr*OK50H;t3m!*{jTSpQTlwAlg%KyjRq3m#N`aBB)7J|R$VVR42bpf2zV%eRZdv{;h_|Vc!nnteO=KSKQafAY`mG`uK5jyDr~RAFVo#u)g%X zW*G%d-_N$T#>&IvGdQ@R;e2Jzw{(U+&U;w8lX`k-w0yddDzLZHC>6mS-`lA($+3OB zG_x+P!}3^DbANID2%ds_eaojyqsraTqi`1a7PUN9e`Nilfbg`Xcy;jW9bKWTS{5c| zWe#(p8zG;X(cX8iPi~yYPg@w;_r$;N(SGHjyRfM|JPkt<3+AK(43@2|aqo6B$$hHA zzXgQslFvgDh>!QEt|Rq4P5frm-n>qaP>47A4T_ZIr606y5E0$y)ji`6VzEN{w7D@pnWGlD zOiIFU)%m1TU{lWJuwjyDt z^QO^-Dpg;*Rc}(SD@Hc+ViscWjkHzn|B}Ba0_>-#_kl{W4s)boh?0SQYigXu+_2>gqDKZtKNtyoO?i*p{ z=l7B-*Opp0{3YWf(^si$_5tV_lks;ujV4xf;Kd9&|2(dA}ha^symoFhmb_X}R;%{zaP+zhLZelz-Y}wAuUGvVdJJc9EvDt}F zmB@`KoHtr)8P^moe}UJ>K+)2Z!8$&P$-K&8v>QZtYKw!cObwUq#oPAbOf%IBox#SX zDYH84tc>xGkJnonQ#=w%!L?++&am9vcsRiu-Ac^s&RNlD>-8(r(z9*IQ#-TsRp14V zp~?}b7kb~ZU1|nAw67!WYR42ARf^T@5k!B*R$kxzA?tBIdsaA9+?6)#snYk8HrQCe6 z>3bbc(qUEDapp$I!+kM1p8OB1%OZm$g)RZgmK{WcTa!!Ux9+8f9>D_tSVg1I7d>_nhMAkmF(^3pMW|-%D^X1n~ z1nv#Da|co8V-~zs9y%ZU=GnGQq$<=;(ni|`TClGv%odC|U59%?BGcB+9_#wGqhBWT z`<{i;g6#I1Fu^2)E-X?y(? zSl=-j)a~P;K6N;DHyrmhmc#l4?IOMz&QR@8kB@2BnpoQ!0doEFHQpOE@83OcBRoOP z%E}5@)V#h&dqLb-$V>3O(o$x?`iu1!0fe8eV_tDu6O@QY7d;E>F4<)_XCIrHVK)zD zT(8(4{Gt=HN7dSyv}_+*7C6bqK3ZLl_OkVp89Ab#?EbAC9M}lEKRq+w!NGvC z-23Z@-9iYSjp55E$&Q)Bx-_=8(U+Tqk&pAF1I^LA4e_nI(OXo^*$O6&Y>b|@lO5VW z7sPQ|)_Evm>gZGiI(bUe%;^Z4&0Qkb&(yz4A=KyM5ADLJjJh6#yEr|O!xFWaAGRSM zx*;!Fld^CesmP`^MH@N&DcPvOmsr5yf6;Z`@l^kR|9?x-P>Qm$iOS5#rcxwA*&}=J zQT8fD_Rc00*?VOrd#@13C^I|TF^=E!)OTFh_xk?M%^#n9ob{T|d4Gs}&Y7QyT3FvC zrZT1I;o+hD{IyyW2Hy25buTW$@m3B`tdcdF29+VLH9LtK!$ndr+Dbka67nJr6F!Hy zTpjETFv&Hk-G329s~PEjP~9Y^x#|{XMX98((z(p{QQ`FA6*Q>EcTsi|kY6IFV9+ld3BGhDo|#Y>{Tk76H0femE`LCGTj?ZiSECs#`~ueXVMT=`_g+FMa;X z4m)(A`{x-Y%nVNq?ZfZGqr?|mAFIZklwGenLhWRgg_@8z5R)iIN6DW^xs~EQj%#sS zgXAh6QnSsFc-v=3*h8&zC8(&TqOpLw4b3_IrIVa0pf}grKn7|R0Fde?n%wa7;m4=! z(L&sKSpjLUR4sO9kD^=eyzaoiscKQifAj5DY`==(8H2B(jA~BzPD;teui<8o#1+s= zU8Z|?UwYb(s5M_M+*9Ib!Wa3MtdCdQN*`F}-{#_dl*B7d#K!jhsp8hyibr6J2EqE( zl7>FD!f=yJM&-{Nq)Q~C6^)OTwbG3XM@S;B(Q@hxjs3FKAMb1c(Whq#U(QVh(7Ti4 z%{RE*a4ND{&_7j8Tl+-6B!<=ELVP6*TnU=TLoKAUBQc8N%4Jek|BK9XL83-)l-WH? z?gMujuvt4wpE^ z8cPwnKCWWj8P+(Jl@Z?^yhw-c0%{eJVyi*!rI}&|kv2-Y8Pc@6&<{^dZGN{pNqN`5 zSFRE;7G-N>lR>3)s!RK6WK_>uK7Lr*@%;#HzYlFf;|a|8Th z^FA^W9r(Py*>jiYSv~c@&CMxmuOY4NsJm@wy5F8Lbi%7lk|8p9d2EyV88y+BMfzmi zsB^1o!k+rn=q$|Tffz!(5~u110d@O2v(-ZO(IQ25Gt)26&bd`T&d*s3lnGMb?i8#V z7hUzp%WIe2RJT{wbx_tVo3`RocX!cXk4v{7CbExEvA*GOC}3Y{vS7NIxl%8;6jr8* z^q&9q4)e)NW|%r#mz^{h{`?qYcI-nZ{+|CLvaEa+{cG>07iqy1^PAw1*<@;FW`Dh+ zDfp?)_7$8vEM2S*HHpnqZ<{KZpSZ1^MqNqpIGaYjvf9%6j_EwX(j~g*n}tySJDzb5 zLmWo+afO1hhc@xJp@}YxZnAcE&aQ{e@N1KQt8sYX(AGk5FpsI1hOkdY-VzOUvSpU#NQoZV2KNr=G&*J9pHWL{__ZDZ*l zXWsZyI&H;%VuIho`gGSrCp00}^Jyg<8#DXkMZFe&nfO=gPV9>;wn_bUC{5tRQFL6~ z;^CV|A1TPlDi;30F-||0PD{)J4I{2gSFQjt+PIl`@Q<@(6}%pO4AcxrG(630{Ksp| zH$Tq;$%PM3Gar5IH#<7aa>l+}O015cn{-idLB$0wsj1s_uL-;_4F{ZCrD$jmniQw-}ebm?**0PB7V!q${YS$G3a%+ zjH^df>G9iKN>+*6{3F|*<{Q-*1%IxAfTB^35*ZJ9k5K3Nu~WP3vRYx(b^MhJir)IQ zo+yp4{*jG`il9g3(bg3^Z#xl(;=Sj=x1W#&MFaC3z{&mcrDPI;d!Aet+VA!DVF5 zy1iH}=gKiZA)@Tvv_g}#?+6&tI;kh3PP^r{Z)*oNv{a2sTR&_su(gOjjT^Qwc_n(2oIR4 z*%CTtg>7p-=kC))OW4_$YJKIRpBs;rcBoC)9jL5}Hbvn-n>nCTcTsmXU3ybSZHgY) z(7n!)>!F$FNTFW&!9VoW?#%k@!?le}E0Mw0i(=x!?9;|3*6hw2VkP?-Q5|=Q*q-gQ zKC;YzhyDTuDu$JIs~zWq&QG6lLV8^?rEYOtLS(CtbMstV=l4N@oWu1<_}Ou<-^wIc zq~kV6K(5hJp%~=}uc$gzdfY~qZJWQLZKvw555Nzbgy8^SCP<}AC< zg+$Z1SrW2&swbQ|b;GoSyKPHn*Nb0qivQHCT~&InqxEh?iGyl&>4yv@s`S$|<(d>e zM|Ag+$hhT2SXrUhH4A7~JFb1=N=icitOW=(u+^Qf<99!-X^=>~b%WzgXAb)F#xEiK zxNhD+=>)i^hs6~4GrZxz9wuC*=T42~-c=DrXv0n=q7P>>Lmv5-HjuN-^Lt*2r_y$u zdNk6~BI~aBXwKk@QM^x3hUiU^qiEvW0le8Jc?^ZBOaceP3K^oTgM^C%=ZYkz)FLg4 zM}uqa-ycRyQ(D~_ZI_wbVn3h#0&fK_SRyo8bOh%&zQ$hA^Ek?1%@fdkz_e5M8CB`~ z)2_zgiXqCftSBTT%F`~P%gB(#kXwaBIz@ zLl(8N^L=?w`dAnr=@U5nyH+%0g*)FR)X4?6BV zTf*@&H+(U&B<}; z&AMDVc}9aJj@J?w=~Y8rO1#pMaOPk0Q*!98TE|1M-X1UJCyW}~TD|)lu&aTQDcxv(U z9Qud5`-N;tJhIs567$@@N;Y=*b{w>7WMxm3DwTzv>U-Bgc;Td1wq%yCAg_2L#S8oL zKwFu?_eEm#*PdpbE{x0lazZLck@kvKzLoy<=nnoiJM$35rO&?4$Hm<@T|X2{SiiQb zd^X^Ok|i5W$tsjqv!y~@)We+v1I(jH7_;CoW?o+-kC2nrbj?VTV zYll)5eoa}q_)(*xiHE}M9fsv2UIct4Ut1d;*}iFSOWC7oqEor_kRRd zOSP*r^PUg4kd3JW-P4|n7a$M)KF%Y{Q_hlRJLm!#nhiSU8Js&8Sx+MK4B3X?n^wb_ zsmV>gl7^sTdD&_D#UE)TrL6QNU^dTW*M}c}Gb>*(wP4DY;3bQo>X|*YRq`oDdIrz1 zrbN>uXIy2)`SyPqnj)0N*xJTAqlfm?hZ4T%LnSeS*&;Q|;r6Aco80}wJq{Xoe4JpQ zPLQ@3c@8pn9paOO`Bm=DDr1f)8|=2-1(AzyqzT*`kT2(FxaM;{=e#C59dw3jnOdiK zr06>*@+((mU?YQkbr{#{Av?7NfM3}?m)8x$cgw$R&vx07@A#f}*849Gl|Ek9fpmSu z8)+JrAE(xXDAJk?bnV^Ttg;BvosWXf`ky0t@RoS<={QqaT<)23;rB1;NtN)hGuN*# zT||sN-Uo~0Ugh->Q{-$wS6K`z&P$x)If;;~u0Od%yoaQ_h+-M#=}lPkcNuG(K@_bp zfY|A-+mjFRx-@tzHqVuF7}an3MdckfeSSm8zK-3t6M3ZS7y`7DlGbm#nt}F@D_{gj zv=tjkrG7l6;qRYRl_=nW_xEyyg=I2JANObp#ZlhO@$f0D^adL>-)vlO#zu;04N)vH zaneQGSya~NX_bfdu?i`~!$YU&8E}ijv7ki$Grv1UY z_$U0#oQky45!~AL&uuCvYR0K+EPelRB<@S!yBURt9}>vILq-5fn*R6V^qfQ33H{Dq z8<_FAY-cS!P-*U0*_K^?IU=8;-OO566nTHOm+j~YPHditazjGJoXuduRKl!W4h|AO zs9d@GYC1awlX8tPmn=G@sFs_H*9`o)WrqX#wV11yHPao(a=G)s<+06s(fygSxKBpn zMCG8;h^dx&_svfDaTq(gui#!_H<4J`L9HgRv3}>2{Tw)*8~sD)EJgY^j8*HjqDZeV zB`P16*bP#C(zNNBLSNl%ZP`~)iCyx2*|A3sC*Z^oVJ^mWmV#|>_3TTXKv)aVbk1Ltm`L-{Bg51w(^u5c0*J3 z`W}Bo=acor>sPoqRI;fF{N80|MX_FRUA5fgH9HTU+|tLCod4xR`j3%}%)0D4h%HzO zebD_*LqBsySx;|DvBfLqvNfCOpQy^9BK}m^!j+X=0&}9rl9xuFjON{~d4!K_dRFi= za?PO1-Kr0RdY`{u!-#tj*8vhSFY2?{uFu7|usJJL&f_Fu4;vlqtZU`be3N@||Ma*b zJ6=|rhJT)CD?g7&bNK_K`-BdJF}^YiRIM_cK|@0KE^IUBLl7y~#fS=tIiH^G>+V@{ z_TIoHEez-hy}r1CTYc#J$BV)L{#VIy1D8@^R(&-j`V8Z%>9w(5a|x@=S#~!Qzt5TR z=#SM&n<@#hj@>~W!T3l(o88{=^0v4^gnrhjcb(JKd%!28%ffgA?K3q zBFeSMWOS?I!Z#+0Ud{A#_9W>$PY3_oshG(Z773g*bd6|wvxFa`_0h)L?Rq{<`MI9Q z4kGW#^-C0#w8b_qF9S8MQ1wv6Gxakn8YMI>eL_I!kWif3q;KO9u%Hvj(_?9NsBF~Icu^VK!O zne!_IuNcHB`-Z5qO$BVvBdMg#T{n^>jnuo|fmImcIMDxY$ufaJ=`K^za8HMpSkF46 z;i$`{_6IB;Pruux-14|fgnVZ$^Uhz>ZB15Yk9++pvSc>az@@xWUy(lHL=BQkzW%jgF`lJ`}nrHSB^+s7W!BU4|LW#?cSzUbrbxjt& z&+LA-$a{^Un3s#trVe_nfO{?FUR*yUQtJg%H);RVb5)^)Lc0sGu}U$P6u03QTU*+) z-&u!pQY#HSx`v}9Ck1++=jrN+>iYj~&*zBrbQ$}=$29vfH1^gr$Ls$Bd+ z8M~eQ3|V*8EShgZ6OBm)*GG&>sodx9pqX0)#=J_RVmmvwZ_CE%3tdRYy0B&;g9-Zu zTZh^mlI;)FIPP0GxQ+X<7}C%PZ9lnTk14V1gIMXePk3_G$16?a#vd=$2cy|LgueG% z-;S9g4Hgb&w9(LnJ3rMQ{WzooJWp?$1&h2GgSAErxi6LCeN{kuduXnuvX|6YG9Hj>OM!uk$v3wph z`=WSwE;JUW+RJ?Q#f-{5^9S}DQ(=yHC>iCnHnZaIOmk^w%TJXx@x79iUl_#2%Zhu2 zvYaM&pB%EOn@Hs&ym__T*O*hII<9%x&?4WcGlyOfE`0XgpWA(C{3bNtWOk+6CGqegzE|j{-eztFl^*h; z0F@Qrkw%yIQNyU6WhECMm(ANAcpjO2K09|x(YpmRzYT=O-3(NUa0%CxzSDfg6827SEIPo_X)Bg1}8Pb zl7DUtStVCjAp}a|A;bj$FzDB~;osgP)42Jj?3ie>8qVN`bBI^7{&sM_$x>7HPJ@M>2-skg zQ?W4p<oWzrr)+duLuZzrNr=STJItWaQ>6pM=r?4wkB`3Bjn3$mFKs&53GlFO!Vxh1aJ~w=6S@oE$;b$);e@d z`_kz0JF8l>nVYVLa9g56GsNJ_MSfmIn(60nGCi1P^4A7%ysm5N{er{>WNHNL=T=5h zE0N8!4nK=DC&1PEh#_xp+Q?;|ZS>vgycptpaGvkLcx|bE*6wJKx;NMKzgy?HUvj>E zdS9XQ#f2|%Ei38cf+sWWA%I2Jj=-M@n-Lfu*FHQ?@edGvAf>i_4`yn8xaxP zlIhd!vTev3bmH+@x3m05a-zHSCbx-iTCv`>zNb<-&u2M?*xYRVQ2fUKwCJ4|e(~~> z#9Q7{J8=Tns4K{U+Vw6RWwtII+DnkVh;A)pPP38K`E=(U)9!C|simg$A8K^r1@DJ8 z)5J5}RXKRHN?G#TmpEz%# z_F-)MN=!dCCx^;|p)f(cfrQdUF{hD^=Sz<+K|ab$P{ ztD-E~97{ofR~oml)wY%TZ&O>G$?Sqk*Ntv9Od|z^{VXBK7mEIusjfvh@A_VIF>9G8 zpV#<`5&Q_P>ZSE%;ftplW|>_JXh?EJxdo{=RFC~D55c6(8#x&6x9A+3(Qw$~OYI))N%fMDTx4%QC?p$NpGm)M#7+2<7O z=I8phk{n8W+uc$mX=csc^^>$(obvBtdV~y{xOvmLV2Ua&U#YkCBoEB>9Cf(M5?#LT z9la7%sR?P(2K8s)1N;+ zFpxB@!rQ({g>)YOoC<9XwVvEq-*(%geuOFq^Z zPdREaeojUy5^4^J-(?7A`z@^fTC!e9 zT)flE*41A0z_5{#^-*vvvGJ|A>>Vv00s^@g@&jKY2d|!U$>06tUej=y?ln_GXWd_$ z`#JHCS+PG!4s2>8Zih(ugTchD;Z5{FlMEZ_z0+Na+@3OnxvaVm9_e{xZEU>Qm11r^ z>gz{zzx>$7sgvY2x*?|Zu39*EJBK5`;6+67@zlIDE(8ic*rv2+EhTmCGSDm z`xk#ZIrnGr$jwy+w(w01$t{j{ww9Q@uy>SH5{ezr>gyj!_3sX(B4u;}$tf_->y8J< z7fA+#YDn>6U|rJ)k8|>AoSoG`q*RqPNlH#Jd37)R&IL!a35w^7$LODQclhWqLlHr_ z%+C^hYy~Dm)}1uO3P;XbhRl7{mKB;aLE-m!s@EPa@Y)Kj2T3k9f85Q|#HM40_8eb4 zxPSj`lOC|5xCND9<3^TJMOAg@J3G{jUyv+Yi7yx65Z3beT`HnWehIe5HGGwUf`zfk zj@GL`$cq+Dm3(hV$g(~Yu&d0?IfIy>d*_&QWnt;ca*;3E9~&6A5c~eqPN%m&`7~@= zW6tSsaGN1t(Y)r{hnVQo2!t(_hehsdtR_^=OBx4P-yKKCj+VH@eA^oz3ZFMwKRugz zMeK$}WiMGB?HR;^1XVx0i`?1zS|QN1*_y2S$5LO4RR3M-QSq|ce0JJZ7O^?9(-`%a z5hEGMZABN3z~3$HXdJ`Ow@}!O92fD8>#tk(SC=#AK z2V&fya-03avmlw|-v(>{$BSUFp6e<0FIu^+0TJqUF@bKQVy=Lq@i~(8)A@({_s|(F zk6rYiPPATa!45?R>tmY5!KA|$ZCAk&B6GI;vLxGOz0!Tw<2@j^5BwBX7Hc^M!0bE>G)2 zX#AQz5y>@FPFdO-<@Mtke&4I1Wp*Eyrp1rm(l;W#12a>nWhq zcW&a`p+6_MiEdM%iMn9!%dOm9X$mOG-siW{6|P-8jR2l8BRzcs&1Zcq>Wmk4bRtv! zPqb4xK#7Ru%ELFf?H+KypApK_8ZJ3cP`2YZqm{h^ufq+NJi@ZA-I6TlS7G}p zv(t8>Vvxqoqt2vW{I>Ni>s!}2-%~*)1xGN(Y90-v=0vFn3Nq)-$|ZRDzh$iCEkdT< zjc(v(Su8eK+@-f!K+PnCiBGG^`iNHbPPg<*2tMJp=zazA3VavH@H7tatMK>2!!9X` zehZAYVx!%Q7H+I zC#EEh(+Zv4dnjwql{OgCWrmO34$a-zFt5?porr+-~`QUFM zP@NFZ(<~K21Y0>|T^~wZvEfjo3&v&=5(m+XMMRHid6=FTxO#ONb?AZYe7VQWzVu(~ zNy|Xec}CfIhaO!Dx2{4AL)Al|;m63qynA=c()N_tyPxahWB+MrT_=51xm6>M z(E6RFuvnnkjk>N$fQXOtZ5Ij23EPqQb6nUmsr8a%I$3`YvDy06idLEaB185Dnj87_ zW;SU4OXUZySCavR>b7|@T~IFfQVoq7TJtTv9ry)Vl!@4)8Xu`(^v1v9NAJB8W21@Q zl+p&V`geDj2&BT_FyD77I=xwN3DF~E{{3n%^&wwF!C0jE&Aib)ZcIEi;r|F;x^m$K z8iD?m9oweRg|Ju;xxB< zZlrr#?o0M}`@HNT`z+iK5X0$L?{nK;%F4v*cvwASZ&rkBTx!0_;X*WVa=c8^77p@N zK5RrMOGw$CWf#j?aX!%le>0|m*@_E}+ez==|Ho7R6=W+rV8q7X?zK`a!ym#k&^XMD zj0RcyF`5u}o);^0F|oP6R90zkmF&3UlxV&Ax9gfDPZ<+R-QQ~B( zX)`Mn6iaPGq5r%nfrOCK_BO-rHgMvh6ODZH{)>&&niQ)b)9(hi)ZCJ=nsjuHI)^dX ze!W7~9L1Z)G8z8WR~tXviUTHG-}0v0AF~8czgZFZn$W)aN%3Zo1oxX;=)@q)HR}al z^2eWR=`82p_x$}_Ce6YbH*eooro9-tFf^o`*7p$2^5+$Jnq# z;2V57MwH}W*utvq1;* zcrWA_z)y%5w7VXyI@ZOVS!Gb???)*LSUaNrZ4N?ssF*c{f5@a_5s= z+4=Z(fiVK=#4*($oqi2XQj0u!`ZPQ;a!dPoTO0We9kcoBrCHV0Zh*Z|pd!5&VX`F? zCBr0r1bxx|4;kaW796sOh#bjz?hjPN0s;dn8~BoXI%z>Lov2MwvYwHjpC9Bnv(kRI z0s#gHIQIo*fP-#>Su_?qP`iJ>5x7g#F2CsNc0Vs&3sWMr8k28nlW;b7+ggr$#kmMhQ7*?3b)VlHU6HL4OY203c}q zE}~Xs&<4N={?aFOJed+bifsm5X?@>EM%s*u0lfvvG%p0lFH6ixLW`>~_1aL|JV^<( zl4f4eO;;;5iyE=8GB>wRicL&(2XLLZ@8Q5Uxi9mD>65>Y!UvmrJbpyGRe!yBY|v7y z*W?c&3P8^`MKtp1dU9=+wE#7?_Hd&EsOjB6J`+3I8pynWpVG!Pnz^{J&}UX^R7{R+ zxzxyCPx$=l&=gu{yNN+q$Q|10TPb5@=Js|#6X+0{eX+tIyJ3>lbV60Y$A)HcJ{}&< znd0TJhZ+B@1pr+FkV=Ti50sb&6#Ynl|CD$Fz~{@_4EDG4J?&2#X|smB`=R4M#X5D5_05lD?<$0uj!-?_ohRHHq@YB7c{Wj zSZKS9HbDSfQ%kEmG(=kL7~KQ#nMS=^2*9-UfJ=h>MonVMN=u`Zt>bT7-ehNYnE5?o zoDA(PjRHM@mLb)0O3BU+pmZ8bue0qDJFZUi2WJX+Fy{SA`}Kq#pq%I!frb`(&=a-A zWCLCZm>>e8tD~g>GJxrV2S`g*13r-8Tu|GQ+Sk;u{l2XD*K~b`LjDLXVGz*J9iZ*BIL=GZ z5!Ex1pv>8?lVjBIkt3OEHB;~Hq@gg#GCNzV*DGK(B`uT(2Ca{+wHv56=8veN#Z%`) z4TjrA6}9$5Q>tI9vQ88mhu9~SILxkic$L-kZlqX-fRt8Fem)d^U8A8o$i|X2z8Adg zw6L}gdHdFBF*Ac~F`0zW(sdI0%Aju&l%(_#r~QQtSUW4&ckkXF8Xp(2S^z3o#qNYu zwNF5Au4ZZvuwFj#VLTc)wJWw?SnhbKn>)4kN z1+{HS8u#Y_1J2FOEpcJFeqBC$5LUkfbc_QPS{S5-=4GD(`+KuTY!Zc9+Pl${;E@pd zAyjCsm7H(0!&B4Div0ai8(?=y*fpJCqr<-AVq%(uKKVzovTy=)baYgKm=nv*o1zEH z#Q;3cNOHN!z%acym>n!eaQ^&@JTx>vPT2Q|fcWe&I{Ekv^5|oD@T zEf1afN`B6}Fc;Zw&#zX+T8C3=BmpAxJI4>(k4*RJddM%g7twZsW#8A7QKp|n;H&? znEBCA^Wj~Mynm;sMX)ize(zx>G z9jw2TUI4{`MWmXmECy2Y!AFBY*AWyH#LfqB99pPdI}Ny;i%6K78>(xnX1J23rlx?| z4e%aXnAHriqZ{a`Re5cwwgyhj9t97NLJ-ZTZoR^(>FIj!L<|A8YaI0DaP9!BPPV(X z@HRXPXo`On+d)$LK>*1u;|(}kKv4n67s}Zv6zb#COzV0@B_%kxe(s>G@v(vdL|)dQ z&;*w%^5aLnH)zJ!ZK^<9v$p$o)F!2Oy$&Z?^9p!sJ@df8O-}fT)w2TXK?YvXMH36+chp#lO6{=HNCs;F6NDa}N2n z_9>j1U6-8$>5St&ha||cyoz2qJGO!^JgH@ZVnARu0K$Y4SzKIf#rOwu!PUnBMNaTI zclIpIy|7w)qf<<|W3#JwXUL*S6rE5n8XvtM0q}+m{ykpKsoo|`J>%QZD2wnZoljC zMU77&!SyyGA|eQFM4OANYg+<<5}lHIe*B<~B_kvAq;J`Dv$%Z~J!w@QafZt-R@r(D z4j5cQVL-aUgCCX~dOkT>z~0BL$*34~=-l0F>UC@m>BL>410~idcEBv7zH%ihIl0bd zdl57dfa@8ibxEM+XT>Lc1ioAF0$_157>{{3K*}iI6mj1#VLo@B09?JqEFU+Xt1W?6 zf!*p?6K63oEjdP$))6YgSE3b&q80RRn=Az%Wgd@e`D{7FUqO~{UoBWhbjnexIcEqB z)^%iD%l{5gkr@ZlZ1~KcNCT zE%Byka=!d^=q!L~=$Mq^CKTwDQ&d-9M9a4Wcm8@*`>?j>vy6f9A4i(U8yv^?n3A05 zVjU-(Tjt#;9j$!bcS=WhgUq^R~4OP=|Dx z`gDn2KmZM3)oy!`P}BL^<#p2e>nnR@pLz%6;_GyR7g;#8UP4A*)7u@BJT#t($`XWX zU7zDb>WU~1aK*Wc*7n@tqRt=}QbO{E8IaJIkC8ig&u&S#y5AWd)qQMOM zwo*BzUgWALeG`1<+n__2yjK62hhSySJD$lOy;6Z9+?!2L_M4@*WD*oqPwPXx?$G|` zWQktyEpz1RJ)7XbTH*wED?-b}O;R z_LefRohcJ0~(N-8R> zp8y!xpejTXYlsF020~l19w>D{D>2ZvYG-i~I7uH%ODkNz3{Dg^rtLl`eZGHxCq}vhke}o;%WIpi>b-- zR<%&?6cRekUa13Wh;aaWg8Ljyw+{3=CAb7&V1vd{ zw;G#jffuD6(+gkT#%0z7_Ws$Csz9^5i|7Tu($V=wG#F#dYmq?AlN z)yV!tgSf)#X}@+mw4^?ljy-F-?gftPtnO)?PMzG3tNka<9<&LNO}UzSLSvxLQZ7netCC0di-J^FF{ZHU>jsup}%KRiJLlN!+$nUFwv`ErRt z8&Nqr!U+~1fMSY)1kT0Pe66*;{X~ZJ$%{ zOX}m(8Wee6EI6SKj10`%k+7I+9Bw-$X@8Aar=E2TKQwq!1u!W0+i-f6`&^0 zSc`nK`{_ANIu^g%n~Za3*i%HFYa=kvXL`-(@{wJAjkS=dAm&5)D$TnqVvpNAS+5=6 zI(onHHAAN6_fES=q5Ycb;cw&MrZB(d$3h=3F_b?KySknr8C>jT=zD9aaC)P*!r76{ zefbp;oVC&G92@g7vCG@z*UKLu+sY6 z4%b_N@}xi&O!|)f+2{oJaRE8ru|6iDp%Gi{qb`5TYd$0l<`$9P47lDAlQb@`dUK}_ z4&vh4B=Y7CxAXaU%o;<`GFgBVJIbqSuJbnlz$8Y*daEY9)}^CBS?Q=}9@l$XT))`Y zMZ>+7(F~(6CG8<>Wz^7iypVO+N^`55@?dvuejO`g#6aqh5#~$n@(H9n0qh%( zi*lHi637j0dulV@pH7KMsS9u1BP@QRQoN>Q*|O(*x1#9`0cl%Hh<$&iSq@%xin~w6 zbg)pX$VKG+@IOe|-YAB93a9?rlfwB^iu+H{rPcLcfvtZAUFv_0dxECndLVJt_{7M_ zLUac52T|Zo6PT14-ev$tAw&{NO9#OaP|*i|6hvs`;D7z~(r0o#U1~h0%;WzAZZ3A2 zWI*pmhzumn3sslV=b%d--nVz}_zM-e3eP3BQVpb}v zB=hGJ4s@GjfZ8JH2gG*`jg84jDF2DN(Gdn|VHp17F8I^d!&4JjdDvo9eC6z$X?=J1 zqsJkTqPhrS!>R&M0)@YwK>x0x`{yX&{4@0A1-h)AO5X5J8ONHkJi)2lO)<}1XfgChArVDZ{DLy!%ElMtAn zAa^o8J`O~F&{V`jQse>J{T!h3^P-eUXk&25`Sa&h@-)|V7dnMGRP^+)V7FKq_PTAA zs>J0TxsK!J=nhRW%#@|jmWsRV?g|y%F~vY87ex@n89?M3XmAjmVzOjD`zAFv_dEg} zTHr6F3sUBv!oxfJ=HAoS8i34)$GD>8Pod~_$@}+tczH|9%Uxq8#6d2>rG^@TT?@hf za`@Z>dWE6Z5EMalG@=Y~mr5D*?7&XlGw>s&cw=j`cO*O7lXXvJK0 zG_bMTVMo5$5>jpE>ygv5P+P+=qYXV|aH!`hOHb@)3@^R8_wySx`a)dqJRu>z7gWUn zWd;EyK|pL8?L`1zQUXMGOoJrsw|+h0N`&h-EbMMNkkUc%3IQcCod%!tW~Fhgrw~Aa z%I>7F4@5i!PAp(qq4^BClQ9s+ZCq^J!_@Kw>0R0ePX7rn2t5LilFPoy{|bWj#z57> z=g<^%K+{rFvGaWl2Aot~>^nj>5lakcA%mla^TmW`b+T@<%q_+hBkCrLdIo{?QO=0(1q? ziMxznKnt?@M5=L>?^r+$4{ZvbBf>}Gil%w8Jzw!g}*GAz`E~>3f6AKmN zdWA8EUP(A0ZUq9r_v!m!+&4BiR~!y96*9>BK_MLGhmRNgfMpC)i{WUyN?`_uwCwC9 z_>i!S0DD7l;Q}=o8Ewc1&_4txm6gOCJY8^)kB*K?wvao)G9Wl!RAgsk(`&*LP6>-C z@{u8YJ#bfKWrO9fe_PrHv=eL*_M11k$Os?;WYgFdS|<&hX^5(rnVG@SMH){a*`Py}$*2od|5GH$iYHD$5$#i?p@{o}R_@(OV z?em+_tZH91#o$%It{gOh-M|a`h=T(PPG3ED(QMWRVb!E0=yHLM_X|ij6rVu5vmE2) zvqFM`@TuXG%ylPTy>bN{E2@mdM!ogMG%A6N!EfIhjfz2A()-mbP>(Z>lGxhb?uzBc zM*=1E<>f=~)9ZeMzETs^DRjzLy+Y9MtJf=pF$RI;{euJ3m3Jve756)Qhw@C&PF3!G za|0VGxsK{by;C1bjeRygYigIQ1SqrPv7-nrD<@Wsh0h=mSSezIojIuOy**H5!|fgKcuAaGeU>22@qgg+62 zKJfm5xd<`1WN~nCx})0w2ggg%1sfXiN^qo0e5hXIeAN?}x+4}z-=CyMvA_{yR4mXf z`YtNUl!wA+58g!l-aR<6TeEEExJ1M;#DyakRpYWnT=8AtHvp5%sJPxSF~gRHs&*+1 zrrF2M!o(ydruil1F^n6C^o>qVT621tfWn6^BL-jNBI-ofP+}CD z_<=6xEgJQz)OCl0)GkP=X{>c_b6?68;f{ojp*K;h`7S!)s{M?BuyALu2UO}fhY0X(&F}4{ z;Wo;RrBF&clZB5@Zv-^a3rQLSaw#@8HrO1$o0O|HWE>Pr=eJ4@O(Ez2oX~qIpvc2X zMvx(w%!H4pE{g3HKUvAzKQbaEig)tl={H~DIudL@jePiQf?dzBeuEplHQ60C#9)(w z)?#q%bg<3z6h3mnw_$#hDkYfvmWVxuxT&QDP)IP&@iOV4mThD>#{Rg|H|1I1zt^hIzHOVKtAoab-%6+74Dr>f-GfIQJO zo@MCWC&A+ppa!M##B>3NmX5C8s(g2Ai@)dc>67pt$~U86LBPrZg?hMggRRrj(psJc z8MaPdqYeSFJmb{+^lCLOFP=W_2kBMQKWkSA!%0v7)md9gww&Lim5GUI@ws63;G=9l z>uF|5DoIHJHnyO^jr6F1z{>_?$wKTNd#heEc5n9^x2!gkuXA$#hVu`|@<7)WOzgIu z0cEdlORpcBXjm$g)m=v1z74wFnzR=oGYg?tP?UzSNEikKD+hJTLndGDauAO>SCOi>}RqvV(HwH%Q3goVdxB~IHqPfbFq?Hm#XBu zCUfNOd&~<@;5IK-Wu*>jnYGK{Wc3tq+bifZv9PqfW}ISfX6CRq(Pgs%K|-t=_4%`B z)xpn&^;oy_u!ohA5$+}M(La6oaG&<#7e_JjwtAnyhu6eLO%`yVjAM6aCs@NuU7Z5a ztgr#*d5&f!5dtD^b9*q>;NgL)kJBeIaSVG`l87t7wBa6U_}SRp{MB*z1XQ%Z*&yV* z=vG0$eIvR9i~yjyfpS*mlefy&6U}l-tbqTbzjzvyZ(w0b)%3MLz%Z{H7#c=JM)FH& zRRz)@AVBZq<74tNNP6w|v0rPKJ77V(jD%#L09p5TJj^j0=E4Ydo8QZc39Ulags`wn zR8(DVu}MAi_$N>Pdj1(yEZC!2BHG~4CR_AXW*>E^ucl@$(@ zegS>Tij)t(%=mS>(7*a~EOw>-I76XA|MImc6?oMks9gzmGX!-Wzo2EXk`>01{fS}J zJ;4tke+nXC0h{wZ%mWboi2H^uO-PB?DN(ovzJooeUt5(sIyi7u&p!YBL+Y}#*#7-t z&!Z`0F~qAk5>-5e*>Bvrf_e7H#bqBt3rQ}EH|DW<=4tBqRSi+hl(=v$dNDg6vk_g# zFG|963Zo-cF+DBGJlLWR!o3inphl?OxB5_4RVz&Qu^!Unvc3+iQ)t2is%Pb8Wuq&A zqPOu8i`TkOck8Y#3p2+t9P}F=J{pY48tp3rDS~O+j@pixpEknTS9F;fQjzE`t4+-7|(E+7>K{ft`>*SP-_|Ssno_W=LmPn?bO39R$Wf zGaL^A+lt0{=2E{i1qB7f!d%70am7VpN=K@lxzX(=JXl@v?lsFq6JUG?lTw}dVw~*m zFw=U;$H@c@x)2a-im2W?k6^XbYFu}@8s&%?e^6GBP4eq>oz_3&WPwBIyAEDqT&zTh zjk~-12T8EDU=_%?Y|d_HiKO=OOLf|n-%tp@=YbATn#Npf#OFS2n+_3^#Um2IK-O0b zQvtzS1Z1V4Fu)1of;<#K(}U;Xo8%9gxo<*d&t-}2g0KCg`|hpzV$fAC9ytWP&g$(U z4L4Cwpc!{Qxc(;>hZPGgvqV7*o@)A?$vWo@&EIt3&mg{uUu$c1OL(~eRXzW@To zqnOrfo8t}EuE=vTyfk#_Wpm^ID}# z=x zsU?31h3FhDzyBqV$*=p>+W4)$070k~rS9KV^qay#cCg#)KLYsNl^6IUwjd2OBuo-p z_)b9W(bLvM$C=Z#ltUfqd2Yi?x)J5-9f&+vbe;pAmj+Er~tmCO!QL-55BO9X83Rqt%~p_k1u=tQ*{BXDvJFzd`v&x^tON)pM1_Shbj4H%SK1p?-O4KW z_f+r7q(dw@g@-E0A?slXpsW&MMLG!s-J;>M^5YD#cJ%}EIUY!!p(aEZExTt3qB?28v@1x7ghtNm zVt#>#+!ngQ*f>jEdb1`5bQ{jT`MO?MTZ>6=;r837sJ+eV%qTx~EcqZo*m(nUur>*a zJxHYka3p}Ewl#Fm+VcPfF-7c#;1}hZS9tOyEFxla)I5L0qAV|uy}X`Mz|H{j=+@Qi zc<2hxV~;uTkiZT*TvVx}9{?B5;cA_}O+x|E_z?+)y6lhJ|CMkR#d(-iH>j2_ZhIscyd_(ZpR#=ZWo>-Symul(dD2zxLmex0eWs2KPQ)8aihzb2$wYr`V3zWHX{aIH&0>0G>yl;e4n&*Jij zz{K5ZQ}bqBv_>{0Y*EKwD(@9nap&uPY%CkfX=NDqiiWB1lUXx4D%Up0?x%LPOi1G0 zUxq~YwTURhg_#*05bXrli>qJjr2pcnEU)mm{{g*oT1V@*3{eoJ1w!fCClNj91G9R! z5qo`K^!c5_1L>~I2RSvSussyKt@^ONJv&7ELAtX`rD-ZkwQbN~LR#92d8l$EljhB* z!Gg;0sIx0!Y1a~Xv3I${!navXe4d!SZQiagc*0_~c)|AU=f%m9P-*MV!R?Z+PIG)K zT>k11jt0~G$TVf12x<4#smhEwYL-$@PY;xH=nMe1fX+{+66Xlf(vWa``C}C1A{X0U z>ccn;!wiPzFb|586UdnJG6380YZrXw|9t7fs=NBGdSOj>&ns7*H6_Ue&g6IA`!83w z_UCXf38Tz=KlBW3<_5VomdF8f^Vo5A>74xxO|kGp4AZVLANB{e61~GZ?71q&ud@C2 z*!>hRcLTY6oSl7b{7fWAQDzK3t4@cCt3eWer-ohYcwffOn#tZ$iGRjWsmSx6u^$9t zDSn5gc8vCwMHgS>K8heNe(&rJ)QAP>Zww>{X`I5G&p97-$gDglKIz`zu6pK~q~ttz zZj-X*OMkt7R#x~@AW1_Y#wW|pMCCKe@^jWtWP7dm+>xmg>*&$4+y?(ekM$6<(3K`9 z;jec2MZYSbN!|m=tI|O1t%R@=s%S*aB z112aCOaCBs299=GLBVU+vbCu;Uq1S|#YKD9{HW^cYEX~m=~uwWWC!^JH4$Aox+s{2 z30-LZ0w~Ls$J$$At*>iSzVB_l)PBZa=NMO*{^#xm+B_DI){c~@jkY6K^7ATIe>Z;D zvfgPL(2a8*o;RdazO%{=JioX6UA6wZr7AbRXQj?>l}W-j_69yTzbX`0-QjKjZ7}h@ zrTU+A<>HZJrvUD)_!(Dl@A@*%7*E>`xkc2B>Qfk1e)4X1gtmqekd3_b4GF z>FxygXs1-aD5-JhfT(UvW29a0@ByWwn;Hq*bM`&kZ**d_cCU{9nb+Ldv9cU4a@6;o zTYEQpC9{bYXwzxk5tD{|q^hj?=v`n%;%`R+ z^l=2ji4!LjX!A1cje8cao68}ytjTHEhcoRl0)f_hl6BJ6x7BjUg(rZq!k%Se(Nk5u z>dBRp*3p4ZTK6&M;a?CZ6?!$PR?S+eiin(Lv(5DgAH%wmyizA{DYY6ZbFGginmfwiWl8ZTu?&{KDGbii1nA*=GizT$~U zPJnYC%9XcOCV}Pr5-Wp#^A0OkmDJa)%Ynv%lvQ6|J=>>ZG+Xw9$Uv zd%|W%Zr#7wMUE!~U0`B>xX1HK9K7odGFR_aospQD{&8EWBr^stT~_pN`1+Dz)a|^h zNM8e`xaWkEM~V5<8~@zwU6_OO8XLyFUl=vYaoxRNzII`XOCZxsv@<~sJ`$$%L<51S z<{sy2yI}|h1VD$5o?d{D&(*=<58p(<`~B91LQuw`!r5kOppso!Sb+9kV=NpqE^NAd zxv<7-x@URTZMo`6yXsq6XOXE!Mm|-qL@dKXr-|S*B;F1G*e}ES$wOzw+Y9e&2_#GegkbFK+7yXdpXv8t&2Gn$Q9vyVJQf9quswu`o;&PJ|=N)>plFXUBiHDwpnQW&^s z5V)lNW#9D-lXG(`E2ZFtMmM*$2?`3fiD`V>z$ZHD0+<^LcURr?EkDEE ztH}_chjfRze~(;YCU(BYMS+PS{=o%qr{$oFEAGzv%C&w<{#+l28m3T#8_M|pBvnRb zYvYN;#BCq-sz_JonWPuwzO7)L-wm|7{_=UC!tCep{JF!932=96470ox#GX^9y>4Cp zbllUj-v+)+jcWnoK_$!Vn(DSz`}##-9F~Iv9(0E zp`ftI^7A2LhoVvH=N6d_C65g;S5X)&O15@nvqrq#)@-~FPK}MpVm0$(NDdEn=8Zin z4j^2NwH}vM_#1A>_Cy%_4Uxz_&-Whj?$%{^ zvLFKS(N{9gF0SPBf=ZlMaE5_nF~_OQj)Dj`~Gb>ZYa>fT`H&yvft+9#2oc#<5zGUr?d+QFF?cg$03FP}m+L zK~5Pk8pSt)RWfhndUvIQq>vA!jlhJ%%HI~%k9f6esg5xDRp^r=yy4NAG3$$Mi%^GuY6=+L@*ik?FiZZ~ub^LRyNS>D{j zPP!3)>bOPE+dU-(QPVtZdvEkLOFFr^Sy@`rp8WmO!Ua1%K%TglqJv}pkEYZUfhaYe zzfWyP`%e2~+1S_~q!zrnQ;-h2;?4=P@_SCErm4RTs88GxwFgE!0YvbBajPE2SK6;{ zxD_V}#Zr(c)MSD_GeeH9n{(sf-{G8QV_)xnHfm*)jtgZaA@$}lK{B{%)tul6W_k{B zkHdE{OE0~#EDy6b#LCKjq^N9Fk6kB&y^W-6RQ*=7or$+w;G3rNNH(x zk;@^!TK&n>tB)S>$jP-`3S^rUYnicn4ecJ~l6b4Im_g}91Y+m*uR|T;A+)r#SCbd= zUuyzH;d9^+=)XiRo~m~QgIaz4BusSA45Cq}SG!0v6O(Um1;2#Uw~{);$_G3*itoH* z2zmAWh5qBm4z0P(@?d~4DS-5lz+HaUQ=#)8G_3QOZXVODpdah9($Oa#bf?FqjgBU) zNbVc0HP~jQy{t+3?keCEm$6V{?-DBD;xyY>HG?As0paM+B_`I*`)m}wI92_bR>ks` znh86ysrf_cwGx#?g3io%Q(XXo!8riG*=uD=Jtrj!nLzXZD6uz`lanjc%Oy`spsz`m zyG*~1jqOXi?F)b|P_ZD&oSU1Yip@rdK|~iA{6qIXlH4*K~*TP5ug$R>Dd5 z-S4M-6UOZJ?5TUAr>7UhWW&A4wXY+)c-cNxC8y0|*ZtY}u8z4YGm>XV@Oz5p+raum z5|7Uyh6gQ_vfvF={}3caL-W&+^>_1wJ>1-ygj;)a zYfgGp-?Z?N^w#n1O?TWgaoqtw!ry&Mmb+YVVX6=U(H~8z_lBs$ysoIf{&HZMgzMq@ z`Eofc(6qxu667$TKLJ%n@6Vq`u2KKlw{)*>Y<6AD4)K}JsH}`5ygYfq2}A>uk^;`U zT@nB8Xwoi;{#oY{?JjmtPrakNGp!`m302oBk$cmA&_+V0_Q!=xxNF3>hb*i!+pW}d z`9&GU;x*>UlTT8k)?ukVT;!S+bE6PC_0UovNY+iV3Jp>nzX$g*bnAF)u zE7V~$G&L`!$Dd_8#pmF;ot2sC9~!Fk@L{35frq{(q{T82_qJx|QhL!SqWFu!#c z$w7f@P}fIEr>mSKvsz`|U)*!kRFXPy7*VSGG0CaxI(`Qit&sMZ3xs->V}ZE!Zf8{* zLMt-NVex?4tE@#3973sFnYz#4~DzHPRjw$fsN#JnR5c z98ffYP={g`P3&GOcc-{ic$T#*I`(9d7ikki*1@bIpQ*MmNbKWv9!1k2eE4ak)o(5> zFVFOq9Cz2s3q4&L_Ul9eGYM-iTYpG zPo&+yvE|A7;!{UupFJz%TM?vIX+$(d4TK;6QOCL;T&6DnBao7i^}h;F;Zf>xjUp6S zH`i=rInF%8;Xv!Hc;YxLPMQ@2K;9A3DbF(u%ttg(S1o^|8=2|o;1DLy0VX)7GQD)N ztA+ygH&CxtCPqgg%L$xrdi>^B|K8~8d-I|DTKCjdRB8Z903PFwD(dACSp7%QzdOw{ zWA#*fMMC`{>SE3(w_&tGASA1WM5y1N`uyuC*o9=mB{kJAMqOH-@#~k_9i_jIgZ{sI zlS6W|>I($`KCaI7ydi*008|dPQO3F2h4*;RQK^{qjY@dy@9LSI_W`LGm<>UaY{{2Q!v-w+qS?*%+FTjX7k|mon8g66; z1PAL^;_^RyKr=wLFR18Web1;euBQXLD})Rqfg-9f$b+5{djr3-vAHr?=mp*ipge#V z*38y|M~wrjdKU}n@u0iKezIr-79$z_bD&op3z`QCr<>$Wx@F?I^bPbry`L=WtoFCM zNJ2tF3U1V^6@qJvbojQSgPv9kzhb;;>U0^HosUNg3{2M7jmc-K{XF{wo*_e<1e+SnujssLzOA(%9r0Lr`; zp3`mMW`h82kR8D51T8J>wszT_cOWVUBNJ2zlu|+*B%bF-aiP((AP2yH0{WnHjnhXU zp|i6S{)9gxicP}BVzBa=na86<46&??>X4{=4TT=$T3$eDVLt&~m#@X^X;3vgDw*dX zbxzyn6`VPxc!>xC)KXxdFuSX&x^!?;4yeNwtDi$(1FbUH^_ml2!`(CoRGJ9BHmbE> zD2)fAU!^~$=q5IRQSk~te+Z%2rpJgEcGM&#>MdM;#qY?|1o^zK!mCp*62?vafdAfv z!%u(!M9os+IwL7C-sFO6Psp?hn5Ue_To|Aq;hI11c0tTx7i6tEB zAVF1p^k^RUgDPXU1=|A*;UTt4aCk~f#kjfeXR4*We}5ibI9G2pl#-r~>N|Gq*wlF= zxpQNHRKuPBAXNxl@xWcc^&@;uFk8|VsHL=&CYc|iXwb@PIb8-UB{6{`3VX7hgDx4u}5XCB4!F9lE#EOE> zG@e!7Eiy9lCh+mVh@A<)mm=tegUxU8d-aMet^HUW-0N_-Akdunu-hLlQ_F)$R||_$kNQQP;}y3gr6}FT01;EinEERR5Vx2i+PDDbt)Q1} zp&LKI`CAgdvINZ&Ofwh;Cjb8F7V3@)wL1Pm^M7jnziS+aI(7a3E{b7lu;YmC1Fw0g hizRRUf8M;|ozHaqWGH>KHubaa-&Mrs-udIje*szLv?l-n literal 0 HcmV?d00001 diff --git a/images/render/v130-alpine-dark.png b/images/render/v130-alpine-dark.png new file mode 100644 index 0000000000000000000000000000000000000000..5d056ac7532e04cfc58547797701eaa54208bb76 GIT binary patch literal 65141 zcmb@ubyQVdw+Fld1r-EDrNbbkr5hBak?!se=?;}px;vz$8>CgbOF&vmy5SH9&iNKT z&-=XhzW3hoeSds=oWWr1Tzjsy=KTGBbFTeSURM0>9pXC>1l^UCc%=wIXrvH?s(cF- z?7=0f+k~J;kmReE%5JIKbM9VBCJo&CG}1BDuj_K)@zJGDnT*x3x$@5*NvOOsxN)=W zeg8Ao_qxp4+=p%UyKds*&28N8vUHsZG1A_Cdng*!+aki%peQlpWS7h|l@N1@aI;FT z<;k~^NO?DO+7>j#V<$U*lzJ*4nciY%)ML#0;?`q-Tw$)DoecsI(5~+m_lgp`=Vtp(Ix>3 zWq004pBP4R$PG4S=IG!MPRdhhHbgGhC2Un$Gh-amrPFEG$Z0p<^k(sUmDx}W;$q9T zjP$Wnqk}*JFWlD^?ZtF3msdN>Ziv|pIV9b(X4+<7TkryZlB7Z{(!0uOb#8S1Su58( zo$tDt{Y$)z)+QCs6~-a{IFk%jD;XqWTQg|%21GJJb5qhkXI8)b@=aw$Q`Th7=d7nU zi`1wQdnvi4&2v%mzo;G@+U5m17&o;u>%S3k`fQMJ~B0a2&6UY7E)}Q&Uq9 z4-c2SB2E+Zg%IY4r$&+fbq3y>k>A1dIS5NiRo3Ho911^wenv@Y4BMXCnka#h+$=JIklEK+~3iAO=2;5BX8GkZq5s1JRs4QnqpJw1!;TJYX~tF-e);*{Gz5K_ZB zXrvA{pgmAd&bYTGq~oCD#WVg>SEUycS;nG zBdHaWisVkp>+ht;sN0NNg>VJ7)Rat%E16ZjtzE@CS_ym8HkC+31)JQGB03CBsx%bt z%?qQbjoawY-w3WO@aQj0pHC&?)f@S`P@`H@k~=UwY6|)B;lF+yKxBa;eaCRh8Xr<; zm}pz*qc4I(`iR*`4W202sgJ9&uHrlz_EQ7ntV+%Eaf6!>Wd|IeDJF{Iaq~Ba{UfV^ z67;i!h?AvCSg}PW^g>}`5~+CyI%SBEl#PunL{wM(YGmaE#4fvq3axZ)=b-vPs&a?%tWj=1 z0iq&`=1z*w0=<&yRnuWnKFT9r@A}fZlI@VSv#j!!4kQs?#$<-_NG#v@m=zZGVU!pg zRuE>*DUH8HgX`wp=P6cIz@mWqQGIx{Fi*>`%|IcxTL2GuaMsEAzvOP)rX#lsSFqVHJJp4REp)Z0c;5KD7!>;ro~sKLcJKS zM)_bxJmwzj69KBT{`$NNv6`t--^$6wr@_nlnw3@WOpOEhCPWBubOfNUh834r7oN3s zL&DUZ#6mj!sCK(+dgF6SgcSw5qCvX?ri`7w9g%nkPzS(}idZ zk!B8o7dk(g9I~fJNAF<^83^%~y5hl}zF+Jc>kz5afpG7yo(@EjG&kox46vUXYm-#u znDC*rw6a2Z#LfMss>+f5;HkgQ5_&WpXUf1TcE2VAe$n_HNO0-1?767Pi5Vn+AzJt7 zjX&FG%kZ5_O)P5X_mXp;c4Lpc+piubAEUNL?jL(<^{>&bd1}c z9$2Kdk2-) z(7j)$^mE2c8D<6|V8b0EYBhWFsGhJF@^nZY9%XK6iR$cEY4z%+6d3ls|= zzk%P$$5&ZC4S;y^~S)I#Rs6d_CI#5d2KvH~c=+Dr_ht>P;)O zQ$~BC@8@drnjoPqJOvMe4$&DMB}~-#uzeR8?s?ADzq2iS0UyG>b;F~1zJe5P zf6VgJy_|vwOK(2F&FKR1{8>?$^@BxWp~G{pGy5))TbcLnQmROS*H^~Y`)-=sU2d(7xDkh+-9aWAjGw2c;3!}C~=1<-gvx@XTt%|!1 zoMe%ecsFy1^i25W@a8eq`?tie`>_r}Ysd+fTnEviuc#A|OFZ=oI&@b;2o0;}n!X1V zJ=p~o#WSLTck%G>dVA4zmOox`Ul5|ZmHz#f*6iZMI_q7DiG)yO->OLO!7FF~NTsKG zec3y<*ioy&%L#BWvd<|nehb1Fj}93)gIG6s_**}%cm|-Lb)lLHexb2C(b5%EFtthP zFw}Q!O6*IT`#d=@VFAX<`TIuSafVyb``gIvRbA~`t_-q=i)lQJH=x8l4HHhSDpp~U zcW(C#=Ep{bkA)E9@bxwe9HGP&`Xx(t{FtPratxoaV-GMoWfIPUzhpl4Qv5uUm`9Bv z>hCTd=qYp%@`K~F@$8pngBxL_qkXrK-o441GjYw1VLZ+h6IKN;K|X;Fq380y&Z5VF zFDZ?W$A=PGj5^JqwEK|0Rwm!*Vlnt&CZoO8_2Y*!G;Gc;((Af2U1K#_`tzrH!t%>o zbMaz=3Rlw~>qd7kZKg-fx{EIrks2#UTohHzB6)J#nh-?BH5kGcV_VBS zrhcI!)2UNMvC+z{;d2f-@{om1P#!LRi^v}|uR%)?KX4=MYW(Hp@Ts9f5(iR>d7npp znjvhDFvN7c5=u2!SHy*PHz)(=v9oagx-mgB&m3w3z4Ts9+PE~w{Y%9Svb6X$Ri_3fP>cMXuo|D z%Hh-Cb_+kmgoOXmo1F%_$Fi3{1D#R^@;1qx+y*VKn5+pPCl{B&6t2DZID&-slG|N9 zvk}?i1UN@7ce#Lj1z1Q^D-Fl?vH$QJ1_#lH!gc;8eepK4Un>(r^(j& zB7OQl;|ga7J^dSZ{z?yWcytX#ui6b11Fq5O3i?0bl;-*K;i`N7#(`@HR=t@bNjjMf z57)rUGmgpLd)H`{zx(K^is^eINQU>mNgk|GY=Fp;XA&sl1w0FPW zonXWd8Mi!k{8GNL{;1LwGUp6$Q%aw{Bmf>h+2D5d|-=PjNsS%J}@}E>0w0 zbM9Op?7sWF;JWGHm`vgI{rzX57`i`==K8-+(O2Y$58c!d%6P~p)Ux4q^+DQHFuL!a z!+5YRSE&H69zGv)OLK96K~htR^b&zwT66{>%TqCXRl$|<#e=?h>W+n|QHKKiSeDQl zAGsQl&NjAYujUJ4&)F~YTEd%X8XKoWzdkf6Px9&%y&YKo`D`Zgd%Nc-D|z<;Ha;Ew zj2&+$3(3_Q_G5pacj#h;lz5U$5x~=Ud3jOmpPUadO1ChhLHLN))$>*zbf^Hwc);^_ z_`QX7s$U1*P2yE|>}4XKwGVAbw^X2jvq_|zgj!gB=rP_qX zp)KPe=AQ~*^k*vHkp`#>iqI5he#t#(vzlf%7jx+csH^l(} zp8i^eq{RC;Vs33=VNf+SGBWb*+c(V;mnJp4AB0Wb%_x2yhW1}bpnL1Yf9pa3=Qd8SOCR!0e30Ld6Q0;OkG4oNa{cn5?Y1Rn|y|B3leS z4t0ps=K0VdVo|+~dCdCO-iY2{n`eb25uhoR|!M+en6vj&BYL)=}0(~0W@E2aZ zQLMXAv>eie7W3{ITZdtlm(iuWpqEVoI@C`4c!NGKhFLFWUiq-cJuC|c$}8=?CHL`( z9rMN2V^0+p%%!C@nwX82T5^hydj~?~)K&9{@4zg^4ZqDrk2XA@@`T8b@kPO#?@h3_ z!gOLErKCvAXQ^0d&l@+K?RaHfI&k%mJsV%a2xTHC*mRx7&SZO{wA-&=p#kaF$g8!| zDa6;X#5N9N`z)fsPIUQnbGd!m0!~Ix5{&pE`EzHBnOy3?)tiq6t0?q_-89JAjP5|{ zj1xx4qq~s*>Z{z@q?hx;Nd+Mk>7zB4-8189-Yr7dwd43I>}iD*_A$*(%`0Y>J5^Y4 z9<-EkOZm;aQq3MNWp!m=4|3xjM1>JQ?zQ=i>B$^MJN?0Q)U}hO+AU~)_*SZb@N0(Gd+@mo2q*_ zpY3>~V62W?6Or|G6uQy*P(qU(Nm*`NF%S(w!OBA8QncHXlY zJ`bKk58tlTQ}&@Y)xY@H14tGgn z$9l}2Ur+DpoS)5}pUQ1|I>VIpi??#O$`ZF}8*FzrxFU2f;1=FxOiq?Jjt*a~R3|pv zA14svcV2uSlk+N>#4NWsfBp=yG(SelEUW#p(%T@a{q(S6wTXnbX;z7uYDgOd@ED(1D|nvhhax&C+Z6;t1U2!=SstSSIz^^HX3TIv1gbW z{Q8y)XFO3}{9;yqFj++6iSntWkmpGWvdp;XBWu#LqK-{<9A-ZpXfj-NW4gM5)8;gk zsjErKy;($M3I!@eH&J)E;V2{%C8vcHO*x{bA3S|cL<+G?nV35v{UiLc}b!MR=U>sfzeCt%}<#WU5uN*aumMdPKzZ{=5QDrmPWJ&f2^|lf48u^+eVl&Rz>`VtP zFGy)%_ipcPMhk#mpqt(byh?qkY-+7+%8=CJ)6{uDm8OUReSc(NR~A)|*KlQ4ydzep zmvl_6ViM$`OA#`#$zYScTfOh^rEe{lp9uGM^92rplKol1(i?8Yg4n**-c^U-EZ}12 zxMHDSPw{KCZI;|B-Y>U7pWq$@?i{@I@uc#EQIEPYAa=&9u8w~6s^ucn=8rNzi&gPM zI1FvtCh4*8QT$4?k!GVgTsXdy14b3#g3!21R4ApZ;`Hf}k8FNHP75sL&Yr$OuK>~1)^Bd| z{#CaMl&`$o(=YNeAjx^-ZZBRIM9{;?lumQawTpFXfiG}GZu*DI~ladFC`~B(1|zL(7$Y=3{&(z zzhaC177Z`De0hNB6Dsrq!iLk3H7jC5SrU4cT;C<&JZvKQrMb%YaA{roM=z>oY8BGP zemf!UOXgC`ry%{a3_7eG$)L=Ipi_cNZd=PuA{DkL{=+v2x$}dKmG1<+>o7cU<7Y0j z?;%+~*52AI+}5v9=d?l|+%RgZ|=1Xg0 z3^}T0z?O0y9Rz6c-g_~ppVqa?bTva06BF24^H-t7Xgmw=X4i&4Z6H}o5Vic?9mlhG zkGieL7adqxyq8n`J|IZqqcJ~p8$^-hTbVfCUqe{lgUn+s-y*x!m|fy)HRF?F@bjq{ zWycEH*B1B(%jba$F>%CO<5z$n%{bHciybwdyB}kid>WI7dT%1Wx4(Okt+}8vEk+R0 zcY>qfxU%_!FMr@-6%{I1oCq!pPU`EL#x|}<4O)xdu<9z()?yw$R%`3n8cqG;F2}Ts zv*!d@m(#SBrbx_p@NTtJ*3(Qi%hC@kH_h3(yLH^ZcG@PDUdcXG`x4~ zu~U&gkc8#BevyA8GDudfX%WGM#wJ$J#BZcuj=82|-4h>TD(McyH+q;~KHnU_COqCNQhPz9EVigqsv6I4MHp8c82M zf^~=d;SiZo`v1uxzJ2|;iTClk6~=kDCnm^qiddkfzpw&%mE&WOJ;CZ<1n*)5ST|Yu9VbD#Yd+{(=7utKdFf zf_ijunkA~>z+my8-NM=IZ_XnA%Zz7c#tHmGi=3>8oX#Q!Or>)b;np@bJN{koujzx6 z^mh!pr`Ij3M-j|J|Nl%exZl2gn;!lxtwb|wF(zhXn|4JP5P3e+jDm_x`Z#@;rHmn=uu^OsME~DYu}A9%A*- zv~?@2Z>C0v#+bFVZDX-n~y#62KL%}Ft zS3~bWOxuEswZCjNyz~USLY6n4bp~i%oO0SyK;~tZY2BfBsB;9ARLwLQCpP8!Y%9~X zJdpOw9&;xGJQF@2`#+348#kfQaq64C_b0vqrAf7@M+xb~nBT+kn-2U@red+J@=-~6R859PFPyr$U?t{=SahNMAvU2>s<9^-jbuf&3lyxneFB57q!epHw z@GPx%Xy7=+2pMkC%J@^^r|O*IdD)Wt&@2k)OpjVbj!+_F5}wy~uATPoY3wQyZ68}T z-M~3lL`2OM(X?ax3ATkCv=1Yg)~oT|?VKLeZQ-w)ULhdYXVHZGm|>iSSXet^YC?0T zBK_~a003{?P*&0kTy>NbauFQ`u%3`fI2kf&T}Lvn(UF!82Af^knr|p7PUQ zTyTx|NRP_!8f_p#teIsy3sYC9Eb@D&p%O}by@+@nG`hIA!tD4&gkYJ zfB;KTfdc^8sgR`-;d-`0p~3c*&+ifnZZF&2K=;XTl|ox5g}|3XuPD6XV>L8$9vjp5 zp>~$&Xf%Qosh#7Ks-29+irS+lq_$yhaiE|;P@l#bGQLW^IBS8z(44E`Vgr`(7efmk z3J!SOGPav$U`Nq#MpT;+J~nhy2R?SvXa(Qd_sO@y_`Mgjc*4Cy@Y@A9@Er2nY;cI( z`F-p;Q?myYlc(&mUqpUuFsNEvGeFg~wH}XB4U+qaNh0p@F4S&ru@)t zTdSH`kT~ZD(5#?AL0!%EdGVJjKa{nFOk7Z*ebh5Z-m_Y9rg(z0sBwktEz6a!!|ls} z;3W@dBW9>tg+n|?l%>qI*nZTWmLW9Gk%`;A=Ewe<@-dL7zNt-}{kx5s>M-Q9EhD4;ank+Xg_EiA^%Bc=2FoZHL*sxzMlT zv@x>^S@tMqaD{tG8l-tZcjRNnPVy;4 zoi5o$3mXWLi-YMAI-L~N$-JHPkyQfxucWP*sXk2W)4s)5gR|*v@U&gW_RFj1P2~Ak z-~0LGZ$ZXi-Pi+t?HVtedHH?(J9|Fm1h*|p#h!^{P_M|< z3|aCfg_Gf$rv1%yMDwKo7m_kPDF1Q5atpa&iUy?&pkHykRj|3V&+>(|2^ml!9dYDj zkff0L&qvoRN}VXIqO(WeEftG!da8KOPEI5O8)~{dU!f##aCkEjfpwtlt4W-WcN?n7 z&?94!ZSb)-5F+w!eSXRu>d~q);ruE`6oV$fQiT{l2@b}AW*qvX99N(7ws}=xRRLFauAfLEK3_D?&WJ$}r`~l&Njm!z=J1^+P*l4R= zA_mUhNQaQBQwC=K&Yo~9n|0ZkPk!6}-=+%Ovoo^B>iqhzMA zL@FPgdle{K)@ZIe@bFYwvX*1P>w_~Aauf=gTYUpr)g64}gp#GKIcN5Td(COD)=^E$ zZwY%}eE5)RrY|J%lKn5XW&XsKO4g%o z+4$@5pe`zT(mpmWmMUP>2)r~86F>TEnb@BB$*jJb6v3&A>H&}elw`N>iD%HA^ za_;S~gtsB5$!C9?%gXlxm@Cz1S3eZq`lwy}7jyAhga2}eq;B*e=C2fwP^=x!yo%kvB`*;3i!8 zb$smG0BW2VI_@+?wv);_K@&?`^mwbWPDCTc;kWR z!%TbDb!Ils6vjBIovNCenzs1UCRp;saLzv9XdoL`D{aG^(PA(A;uSJXrspPWKaDJ> zb`#UU$CT3*Lsrk_wq#j!O@MN5b~LqB?dQx3XkK~Oba z*w zT=u(VKxq*xAg`b>2%W)X&%kVenXS9lZPz*NJfGOZm|XXCjvC8aT^RoE5$D%yc;#jbSoIMU6>F@~0Or6Ax-^Nrt ztYtuls=jG^whxF%oz)X&t!f+f@igJ%%+>DiQ(SYENRlt-(NC_KM`i}~zj7JBR0Zy~90Az8=V(XjSRV+o3|XwXC2_A+ zFvMC;S+4KfY5AxiS^}u^{xUPxwIG{U5)T_WUe5W2d|0bzRdQyWlVXnc%2Wcx#W=lK zp8498%vqh{*fD z`nTK+q)C7sJ}(RxuzfxmnW~^H2=0vraj?t2?1F8wyJ}*`@P8s$M@3L-^Koz0+l)5b zWV&#>J)nTHASagE zKq2iP>A48wyZxhm0=nR>@vvrSSaqB-i84XqwrVN+&=BN$Aag;TA#KMEgtTPesG;LBNG!beP#Whl(NUX8 zS}>eA&4@EuANlsn{%OAbD9a!Hw%LSDM}U->6H+fw5Mm&>)&a8F{u2fm%4j9bX@jiT z2nr}8NNM|4(<#lh*;4Azr^(y z#X%1F^E^90#-H}v9pLSE`@8x<5NSj^Pgo50HBc~I4|wZza_hY)^vP-rtB?jL`FZ4| zjn{Kpn=4W|DpV>{zFeJwJi@GMikiCSPISPX%K*-z0h)G@k1j;Oxe2dh<@!XWDLy8v z>Y91%=4dm)>=)g@i2x0mXh>QkNk2QiW|$nVjD;vcC2RS#0b3 z6e$DoQn|3H>FMd)A3iNE-L(j304xa_cDCAz(0#f(z7U^ZmYCjXK%P{>tGzpa!un&u z<0Xsp6nn^s%%B%BE#hw>kGhIWHe%NNFWJucV!A@=cR;>f>V4dM5_vrj!&ivECO=gJ zHnf>wCV>3nDpkEW91s}Ly^RqdDz2>l@hxI!FHF|{<^C6ci%&#Y4fG4Mw%t$2Ik>?O zzx(w1tQE1kO(V-r6{i*~Xhlf-$m!88B`#bY>vw~ZN}|Gb=P#qg(9sCTJiVCq9N4t4 zcWfxt;=43#zCA3j93+>2ot^H)A^%H1b3prF^t05jUtbJ~;R3x6-sfdgMqTjSdvlKH zaCuUjUi{i_ho9cwAE&xjavqOyrj+F7iWZH_zPRyEGTxdKNV?Z23X=mxOYT2)HX3SF zogj3mdWX1b{#6nKQ^Fq!%YFE(L>x$^7mcrsu=A$LK6@Z5b3-f+1?q1Wiy1U#(bQ)8 z*TWqPk3E{lEpI}cDP;Kgd6Qf4iwkP%Tl6#2S_?Lu$pA9s7tX<1{15-7^9_@Y^N@xs)2%wxJJge2>yaR!jgUwbo_VzZQCYLZp*}TL9>~ZK(B$fPYm*{8NqlKlIH1S+M*6^C=8TGQT$nuUqPG>(2e3aw^K?7z$P;E&ub5 zp|wel*H4+wmtu!S4e+30r619l9JUdZ-mA8DQ7cOe6omP!I{VvIL%&y6NO>HLhtdT~ z$8jkrkcWNDF&lQRSFkzPg__m}q@Jvs~9ZAl^pya42$gh)3f8;!CC?2#}O&7`I{`4;2@?3Gu(B zkRyB((--pHaZM0bqO~+tZXhBnE9>rlez4r7Q<_s+Y76S!C=D)PGcVuTOjpygvpa$I zZB3SSh4w1Ec<}v%+5M3>4aY-eXD{nlMjbFs;vp)5c| zt3h^ODo@J^-Sa#R@x7#n#fy^!`eE7^-WwRg`xHt|P7}uenTlJ(gQ9uTIZib>M<};M z=6g%J`{@{s3uAf0(1MrDxR(lPl9*{(+Ie}+naJ-|Al_Mp>%kE>6SBcn*7G@Ejr?vi zQ)^;o7Gn|8aoEo`6sf%N4TGX-uLUmQE-l>`&!|PZ5SN;&t)^y{A@JrGl%!s1+!IYD zEhQy|*bfr=f}0tEBVLp%EaD|YeFs9lZ1(UNfXYFk5Gc5cHVGA5E-Gu$)YHR(K+Oen z)BbnRAxB3?C||8P?WU`5L#n0P8tUp2@oLW=WM*c{@gLlPiZyF2rz%Zg<2y5TWuV9? z%ziX(rlX@n;B?l}#>Qr*&dztQ`4o&DP}OzPNn!_*K{Od&hXwiRpiR@&7Gv$!dp$8U zYGt|tURy3Z(>EclI$J7wQGny3fMH9*Z`(`|>6Y5uS+%drZ%;1aR76N?+%T!RQag9% z#MG7f=Hnws&NM_folVo{B8%lip^h=G_S2K+5Kz7Uj8pFRQe?)|I~c@kwk z*WkR`8|RBS%GlXU7Vv~+iUiTo(}#&YrKM$Hu(q}JL0+9cee#6d`&c2S=T$H08$Lch z*WFoK{16KFm8gxe{Kk0Ykq${U*;is>wllRQMMYL{*bX#2F(DRy`%ZvxC73*Kw6tdY zZR~7p7&R=+%pj1|>j`XlZXl+@#nk158Xzx;2&$XB6ES6IPAauU|VmpA6hMpGug-yN{|A{T}*MsHs7-_jnb&AX}15+Mn%C z!1slPg##V4q4cZcF}a;8N+lk*eSMKXn~#r=j0~20kN$HB%IE-00&)S5<0-QYXU|lp zRp{&Dn{;1P{(}iFr=cSyn&9c+vH~dy|%8P;5L+%l@&;- z0-J+C7-=Wz&T2QTP-mzeqKlJ?lj4{!%2*me^Vp-Z{KJRtzCQYA&(?Q$eXdR>B~@Pq)@);(K)*V} zNMIXa6~ykYZCCG2)VHmz$a=>$Th{LBt>l|WS%7lp4E;?kX~Q&J5Z zWcX9Mmd7V1h_SAM^85Pw%m!1Fl9Hz8=Lb!zswykp_;n>Ed;EcJFcd`LiUnM5OgqTJ zD1-N2y;0UOVvg>|Z8z^6a}#={OWLJ|!{Lgku*V~tE1&B0ULT}oWr&K5lvh<116)ix zFuOYpFP>RXS4Sr;Dd{!@!bl#U3Xh;50#qf2Q_-sy`xy|RH9V5|esr|#>#DrlVZz*> zZ~?dXgfl?$>gqqIr!PRXvZ|S0oO}qhv@Q)i7h_{%Jv|EO)(up+H2QmkwZSw{y2Z=u z0X!q9D0OB8G$y8$6zVrUa$WFNQ&<1ub9He&L!mcd-H14aw=#7M2M32eck0=h8}y8c zDZPA$3QZGc-H$D&46qH(;XdO-38oVXYjf0y#;=onY{Nr{=w9%y~51 zvf(i8L?%`e50ppz%LdFD&tA$m^qoYGgcGru{*)#M)6{j|oraTB^$~7=h7biL(ISfd zfSMZ6mC6MKtPTU4^uvb_<*oEjp1kW?zS?iY36C2}WO<*8#XehWGlNaaz5f+0yWu>( zvhR4Bgv#V$bAoiEo@aJ@dej?k()ZsUJ-D+rkRtALNEB(U58^0r)NH2x5)u;St;b6t z%(e?HI!~fLE7QgFthjxiW(4l~eumG*1{hF>M@M@NTTF_E&k2oLHAF>4ZEQ+psH@DR z@0T}2k;%z-AmT7niGW7nrE9FztgW}rlTm@t;OUNdb%GYQQ)DPClo)jjV&pX{=Zc7J zb#8XIQta1bUEZm>e_yV%(Dh0L?mN>R;Ms4M%*Iewd_K#HtnhET3mmUgb4h}r=9Ysp zn8QcE2jIWn<8)iw+aILzIO=-taIks;r?}UOB!^_vcxxP1dqD(=jzw3nDL%pmLKw{KL^$TBUB!AWST*8&Frwtd6{*Vsui{d6y7k#Ik18#4a40La@nt zij}o*{6=5aWT@BQY#+Yfd^&$Wq~mnnvrHDCdD(2|Fv9qre=!*2mxXDha!~2 ziaunHpj4~w*}!Gxi#fVCq$!p-S?Z7-H4GBOiCP|D$#4z z%~jl)t!Lxs=jY+6uXp#qCneXh!DKWy|KI9-%`58%#0$U7e-nI6D{`lXEDrirJ!?p~ zaI{3D#g7HXfQ(GPe^~I;9B{@fv+mIFh7&+r1)o3btIsRhH}t930VX?~sVa$&hcy^d3^dB z^(FXbOMzn&NzdYzl<7wV0+dS{L-+Aj^jWsQ{|yQX3Y7Q>Gs_(MO*hlI^StUO7j>mOB0!`8VU-^%157=_V#T%0G#zD6iwKPR~_6% zMBWdWrYH+x)s>zft#NU2wVo}7z`7o)si-vXf5!yy1rwivu=PZDzHaw8J(sJVU+zKs z;^7?L(7wwf)d!sqn8FL~{8ZuG3(|Xc0 zV(xV^uC}$c1(rYYUIY;6a{F9z*R#Y;SnqF4BN@u%p9zbIWVkKehSX~; z$16?xwu=Dt%dp~dx%RlTAkc%Tlx}5ZHPhk^_uOk%)7EYR9+_+2tv<4nw)dE!PA0h&Tj10ao`)hVhI2 zVvKEvNl}MBGi6=TGe$Uz1C)ebIF-jsuv6G zFrfRrdxu&z)nwF#{qa>LAS!Y6YKZe8-`Z9y5OIRA$qI{$*@?q)a>~og>+8?2P8T9R zd~gFC<2Cht+M%JLz3uJUddGZq2A`EE@jSVVT}?$%0va8jdqhO_fC`kBmIA1W_CiaG zgy^CMS%ODODno9_#xld_11A9_u`$zC*{ni+#iF=wAf|(Xy7?mh(*5bnc=t1t?lA`KhXqLNtmGwI$y`rgg=(D0l#`I8imrNiB&YBE9ip{Aj*zLWzl zq^v@}wIYz?wb0^C9aB(sy(wkNpTXgLEn8srf(TUL9dAqru(q}N_0~N!6!CF`!jPR1 z3-6=x;`adY2y);=%yh8RnPeLrpkHsehlG$#nk7Dq0f>s`&d$!`A`A2;%w1UO2X2bU9@Rwq-p7Mk{=vh3yS03 z0#1+d`|Jm;c?`Dx7=(N$DZ!a;Zu#Q1*$vodiQmp|@B0nwSs>e0Eqy**Hn znG#~yifnOWH9SxH%w)GU-z+Y_Rt@2y^^Lir!cP&QZfd$BU07P(k)}Rt0gE?T=^*)7 zUvI-nRCw!4D;C&YJq{vrfFB4EctrZ;NM1aED8Obk-M~^YRlKamgO(lsNEPBnUe~^V>gK(7y^XQwCf-b5z+VX0x|!=&ziLG-gaI2%FBYXlmr~jr3p9P4fK|@=(=( z6})^D+1{9q|7&s@|5iP-)PT7=bjqwXSMi7)rc_{d6y(z&uo7gJ*J)7 z1joOzS-xBbIWaM>@rvoKXk$R0H`83_KL!U&0eqHWbPdp4TwGdU(^hnGy~eCOzbR&F zZTbcW=UaV|LP(y&l6p|@K~E!ib*u#9Vn)Wo+}zc;njVVZH~q*SV*uIa=jYkX2CM&I zwii{cAQn56y$nMBU4j`Mqh;qDma7MrxN^XwBEV9rLlo8#WkeYJ);v$dE{0$F1YK*S z8(izS*@kTwl*#J}O(Hv|?|Ul7^9vZAAg9g5t6+nJgYHMaz4yOii1Z#E9(HaN*MzF< zT?D}*ZbxCBCJwQisq1PS)texUfDgtyO+{EzO>%1n!Bk!_)x%K-v!8o z{PHt=csV&;0F&sq<9YMzx`@8aSK#}LZ}})ql>x?R9U=_;82k8pDP+pu>MIFL4vec z*I?587+oMQ@V``?1RpBPT;E=}F7<6r@X#74x-1%}OX%xK`U{7e$AU!SzY`j3tE;Qu z%E6cbnknOZY$RwtD89%jDJeI6N$WO(K0ZaufLPFYOqDxeSmf_zP02X?(81 zubx2b8yiy%&P8xxfOpt6LE;kcBjthk?c28n1qI2mwqTF$45h(;)-9{~I_3P@&@&0u zy8>&6i&RUV+#ai2z@CnLox&Lq7`O|>*Q<*Yp{YT=`>B1pC3dXu@+xgYqzi)?*XjmKKw@u7`Nnb z-^`HBzkeqnJ)}2HcyxktO-MG6w(6kwTZxAW5AlO}QZ)2q5E}n+&ucz}F8TP=t@;%Uo8x`?POn;T9A(-dl!EpO|vp4^vZ9 z#?yus{73z4lqw#;mjOvnP;q{A6hK$}E>|iVn#u9;DKi{W?ibYY3>w!eD%gZB7jdxY zy@8-9o623`x~B{MY;t$h)SL#e6}l$dz&lhi1ADY&Wj%qqdwR|R)RT>V7$#N)z%KZ) zOzLTAr6eXwnBtK0pPfwVp?!UK6LX?er*H8MbS(qUHJ$=Egw;2uQEff~Xm(HaKL}h> z00u$7z6W6LH63Bkd0cZ!04bu{9BJgzQ@QNOq03WWq^pQX8_<$$_hQ3HxTYslQd2L_ zmLp>7ps!{b-Y^gc1#p*$+4+FYkmRZ+SC3~2Q!ha5Fwv^*}~(n9D_FQ(ahuN!A;B1 z9Wk=Sh&(eJ7eeY7WftE&GLkq4pFcpp$%>M>v@kpPKr{|~Jb;W5;43B;V|fX>9v}Nw zJG;8jUfA010&=RRsCcc0Z_hXLJ$Yid`J*7*?mufOyTsXVmZZeR}0X}nK=L?@9 zv1`g4F^^}`;Wgyr7X4G^7YFii#3RG^$NyXLqrJSNb;7ve^8yl?O?2n{)V-(FtN1ax zzXG+h)w$sZYZzOUJR+MMRaE)mbg+|xrJ}o_q&tEM zg$1|xpCP!Lo4D7QYT4_Ep-;t4My4+QR&g{`R47nT8(5AB#Qh@GlZehaAaFM~Hyc+= zmZ+lnjhI)rZtXViq5A<`KC7#!qr(`}V`*s#)LWep|L6Y!<9AjKE6#otC;_nzdIQ9r zBsQ~fbrrzmKi;Q-KIP?6v$4fII6S`u5=V?eDNxtv?7PVN`^KgKr|dD_+`itFpFKbz z5MXDCTK0%GkY>*hSFJhW02bf~9OLqQ?9~TPML#?Z%?8{GU^hUIQNIGb+4lXrm~{|K zhsY$t={g50_Mc0-_#ei2o(JT&uL>GxjDNlmccN=?r}aTlTl~HQet?WSUNWl8O=5u$ zu>8de+SE`Wn>d-ENHNL$J){Y!4euHYK!*kuD1)q&uZULb}65K|s1eq@)#rMWfQ)AT8b9i+az+ zj(hL>e#ZE|_s7fd#~utethv^l*L9pnUG+Y7mDG#>P3*d0|3&O-zWrgHIP9^vc;{)) zZQz`NrzQ8Bf~Q)@^H9KxUKdf#wP>tML^2Qo6PCSi_@FlooRE`4o< zrTsl=K<6d|7}hG9jjmm4G7hmV(sYg4+}xaqNPHSo18)G{0f=>P`$Xicr`KVh?luc; zoUA;uEVr+>=`m6C>3FGeQ{Qpx{@%jmAJfB4eH6;ctY(Pi`lJ<~#`c~2yvWUlim>>d z;Ld#6n(}CZZX;W5Wyp=laGlH3a9QnSi$aR?w`+_JvowX;L(c@iyBCy+N_e%=eYg%Q8N8cQ$bsuZZ zj(;DayHFtFCGwNGq)mibSvCOozx>axCA-LF?Dx;F7 z=>F8Za?~VWT}7oA9{ZroK+%3Faq)|1uqRTAy2rN!(t;$CzkdA+54|5yA$yA`l*K>~ zYKN&>e-^F52rRrox8RXpZr{SiYocu|8R_Y#1*rythXk(S#q%v59d-^|%5(R&Poh{n zF0*@h?C1JZ1b|iFOkOXcO+FWcd%qp6(_9OR%T{?CTo4r>?E4_A!Z=D-Fv5k zUoAL>w0I$n4SB*Db2&nzvOot;5d z2ECjZ0X?&$vs1@u^pyPJY-)VafCez-Yb!HO_|^c;kPor3j~!mWejT{IB@1)8jm;W} zh`0z$zh}H^Vb5aqzES$KhhqQrUKD7e1sdh~4u20$wBjtgSgBQav4azLZr*W!&}7^8)5-+pf% zjB~c0!)tGQxwWCe1#Xr)<|#3v9}A{c%!{f%wH=!%Md(AQV+4`kC`lCvpOMPg)NGiU>MCP)WA`jG=PiyFCHx1X)$8$mg7d1>!!t{lrY`f;6fA~&or=fk2Qz`_yDpakF9e^g|}YD{sS!1gQOA zc8cT)@GK6rXR3Xho15dZ=r>pvfxn*c!{{h!?zPB|u?rXbvU^Qt*Ti_$K!YL2Ve=eMnLf12y>6w5 z-6s^cyqUGuq2ehwa&Qqb%3{14TK^^~cL$B4AnPZH+w%S*u9ur-nwHx5T0gvoE|X?J zRKoFaC92>}Bi^D$y4Aa76KkoT62#G1$c@DEv8oY@9MAeT|70E}Ega)zIR*AZHP>Cw zALCS~kl;YZzPQ0;N~BPEV_m$!1iRg4*M%V%p0q+RdImgd7zluo?X7OK9W6r z?wNf`qbD`h6VCjj*)cz1o#G$5UzK0&2Cg-&Ls`HI2jZs5=+NE_@crnx4ZD<;R85YO8CH(Zu9|r8_H%9MM@**p8`FW*}2`tdN%?)gBRDF~4 zO@cQ}c@o=Cd^dHLd{O5cqSGm7a9@{o|5u8!W&FI*NyO5vA|q>6LSsBM%sQZG&!MSt za$!lsagriG4-Z*7bnEw=$P}s?Y4@0|xU=R<&db@8;&RH)E=h^lf`cs2#n4Y%Eipue zzsQ+`yL$kAMQmC_cq&*s8GUQyeMCe{8~**6rrw0|Pb<=W4(o(3%bTn3&j?!vPIQds z3d%$*0|dwN0t6n(i>ZGxQJri0R0@EyjNh{k+`my#QK!)>x-FVWVZvgapJK=lw`Bp( zc;`c*1JjW{TWsXBp-R1^L@N6T1Qm``ucYBoGQ zMSUv8MS~i#n@iE*B99! zup(Z*zLGGjb^pdZX1XaHX=ca7H0ea;NRJ$HVYI0%fg3?u1NFKaQvvXovE(c zIHr56GWDS49rf%*0m%zjB$xHR@`}1sc+Zbs`c~(L7o5CBHs{!A(sn99(*ELm>r2vj zS7I}*o*J5X(@MXYZ_8qkS&I0w6Yp<%H$>fx)uiu=n2UZIXjpag)P4T2 zu{=A&Sz7Cw_lD5>Udj zP#l}%O5R^1c^WGy=7b}hWR}N%>OSh^4WUb9N1j^ea>5saGzay4NxcI=Ujm}WYFJ>6 zjs{kTjd`|x*YuP0hN4ogKIRI1n=(hP3TlqUC_f&az2dWCjtq*8+2nZ#CzvtsX&Gfp){-k0kFfvXvp+GQpI z8bGOqJqERp9keDUb1r)_bcE2m@a_S7Oi()bV+sp-axGX%wLNwXgBUTQV#RK=)gxzj zcXtPeg5455Jw42eK^uB_2=zSz$Dy=zIngFX%So>A~D}s zA#f8!H!2bm$NimE7)EhUox(sVcJ{Tc#Q{L52hCOIY4vA4g^u z7u`2zgnp5vE$=^ zXebH%8a9IO4ZlZ-a*h zJqqX)DrB(KIe0iuz}d#u_M0<501P*wBX4RC(#-FeK*9#itdYbipHDY^p#0<|wO_Nd zt1A{V>wopqb&RMF-I~6Bey6;YGL(nPTu}quqN1X4{EjW9bWBX=VOzv|3onfJft}Q0 zz24VX_Y#7GFTo73zU%MrU#b5Q4V)W>^(H5u8yjPXnHMRvn>^>ZbjM)-<>r9&YaNQUTAyebk5tE&^f%c)Y;pc#`1=%wiao`w3hM6%|#| zvwuVO;nv1RT%-x72=jo<^qwYBEO@@Z?*@`Cbc?#;zz_{u>yP{+^etN26Uf%`h}ALV zqBW4YVl#hklgzs^Ei+TVelDa83-i%`5FB0n!*5LSeE{M>@Js)LKEW{Y#m2@4%p`it zH_^A4m==@6wdZ7T=Yz{^J6{#};9wrK7ktxcKK}k(BecQw>gwvJ1>^2szH})#HuhkD zy_GU3#vYVQu_`F~y`;wmSvqU1`wzC4f-gyK* zUoc@NeJLnVrXyr?Oi=SN2HhR=i)TfBKEZz~sH;o(y8^5Rw9DJ5%1ECi-{ z7Y`>)Vg5zH?M!ZCO}ekk=P4gS(WhOGieo<7Ryd*5QD7oWvbI(i(5$1F7id#_5(ybn zbYF45wNC3&J@ndkA$LsF*E)}&@pYra=osZQ_?Qc<;h7&Fubf^tWRH|j%Tp2I3jgqd zCcF`pGyp#!g>hMrJqS`XG%`v_N_tzZxBeanA-r^n!N+AWzZd)DkElCOVafyvOwh#& zgopM-u^jEP^iKOhj@+)6rJ)i6NA{F zroeOb8=Q~b^U!%vvNsN9z^@X?{pIfb;f>8O8IHZ9eRmZSnX#e~F=KUtuv^sctRG)lY~L*OV0M+}=KAbc5r6#=`QqK6^hwwG>Dod8s%gWx z=W6c-UZ70w_U;Ak#w!h#CNC9~`(oiDX3-2JI6b(w?oY|>uDQjaZIm%9qB|^Inwpx3 z2*xG#Gb)N4?TCJ!0y%<{KR}cN&V9AvR*q^`h1G~qnKny!BY1eg#TwtrJ))tm?gG*T z6_rXxw?nkAW|7V0M13$KtENUqL4k{a=!ZPpSs4XT316>Xz54LsL)?|gLnnBvfVj=p zsldmq1_1(VZ@WcrSKGp`0z2Yxsq;4=^4Zxt_L=m)7SfNN5Q$DGYi_e-&3CjNsLCgYOQ3krylE0mPLM?zH}Olk{6p-dQ-dbT6k7MzRxj@c5)XmG}~#PC+i3InkX z8_kAfZWMd-4UW`K%IBhqfz3u(UKJI>h@y&0u#KN+XJtyUpICzIhx3vF`->Vi2 z#{sc}6xvQpTaC|N4(;i()>PofMf1FsNaffpwRu^CjRg2lo^s(o*!@7q<%NqJ2UK$3 zW$ULSUa;POs{0tDE0WPYH948qJ@@e@g&2;5m(O~7_#y>e{7vQvoWSo zd|g2*pw?NC3TI7uZj!}(S80Flg4S|6Wt6jZ?VwB_J1e-=;_ z*k7rH5VC>lfFw&95zKe7u@=i8J+xp7yiQm@*PXFQc?JL}jy$)1`UfomaBqXp2zYbg z_}SRlCK#TBMUO>2@3UkxY`p7-Tn3k*Dg(cc-&Xw)7A9H%G7Vfr zwr0`T=;+;%`$!$A0MBEKmOL`KQ(SHucvm$s&60i_jkmVmM11A z;QluJJ-2<<)VA?2FTh~@(Y~?EiK*u+uowxTXA%p{EPiKWecP-bE;9Z3Lzo$^LMNdm z_2^S#VzXnN0lTDcjKDJhpSj<@Vf3a$Zb-5Z4h`XCd$c|j6WiXxn(MX)!W8Dq83mIe z(!%*ClZ7o;9K++X&$HI_((>1HKdmsJxw=~+Udo%u7Z$>mk2*?CS~c*aLZ(D{4!Fu~ zrE`a_`&Fat@GyGDo6MFZz|ubE*x1-BP6AoVPg6gbw{~_0H%|5^rJbkX!ZSIDgN(~I z3rl6wo8APJxjm&zi9icxE4TiP*~;5$ub;_^;%FGpeu3^yyAgNEb<+ID&$Ds#PYsa& zbB9mC4Dk1rd!5t&vAQ$XVFF=&X7xFwWXgwr*X>Z&x0x>~=Dq!INf=$4b-pXaVaAwA_-C7+U90hs#nQ#yQ zZ{5CaP>9dV%L`-8hUDvetEs{VXOSB+aiwm%HbMK)Dg}(UR)t4wcF+2x^&xAlFhi#P zyZh_BgGUF7BB6Oq{W<#ipRNgWdCIk)u4vklwmRPQ%b2FKc&zg`rR)d%h_88lO_3wH zIul_y{NFGjH?k2h)_JvUIwg?!p>nQ_U7zW`TfqiB`NpEa?JOI)On{!IB z+2g|!dU{tM%7G*qB|@Y6&FHa<3mPmiI7o@(vXI@3EPzG0yTV1`egpCNT6iNE^+BwD zwAMa=2Ji!G9}v;!&YZy<1>u^z75|71y*F}{EuZFbv^T<{S@?lYDQpa7M+s76!}uy> zPmXR9`C!OK*#GS0FN4z%+>2?7XfRL*`gaC_8c?Je7al&nxL5{{2Pk$yNevzLAH7v! zEoK7YE{?_wBrEVp!9fhSiJyWj4oRV^gGTl3s(&E|LzTSv#<)(u^Je4A#%F^>T|Xq5 z?GB@N*_dH%QPX;e<5KZ~16dFp`FbX?isltnmZr@t(>A{q zYrUJG3UG!D1uF(tzj=+BrZUsg64u}AX6EH>fL~$iI(+V(^P5oe#T*W`*w7>{pWO|S z0Snap1)YCEg#mB$e`5vgjHi%*s`e!TL*W?&hG5sVdiuz5R28^0VZTU~jy>sBS}Gtc zEbP+TouSg$(183#Z_aNxt9|+}Q?4hvFz-?%d95U)hcWLVC)vLtJnvW_nb5O%pcO4hV{6x71&=yg9^Lu-HSR(fJ zcNlt2ID77MXWR&`M`&1CzkmT1waU-K)3!QTY~Q$F5G9d3M@at?W_A{>V!I`f?WbFm z(i9=_RS#lMX53G}uLkU7MQLKuFcH5eSK-SS8J=itH>9dhO%0<*R6<} zYqTBPU(6_3DKw0_-fHp>&zq6IcmsI(*+b*sQOchwNJ%|UPE_&V)$!2yFj`^ z)GCFaC^t8Xs;2&b!A^#_lC-pcbo2n&Jc>g|E?-_8DnSjPHZZuwW!Kt1kpOj6bCyzD zikSTUVsv?_MyDCwYl(D9qz1d#lAqS9qX5T+j~x@DC2!yhf~@Q0{CtM&O}x`s0kyVv zcBR4tPR|0V!XZ(ao6GL#=s3mJ0;O~r-NnVlfO+NU2se{b(~lm7(GdH>XhcRtM0ELb zcQBh05F!EZ-pOTj0|rRMB^z7b;(L_b@$1*GG=)?yPEG?u!=j?1EcN_!g48djoj2gA zg=^^QO6r}@ntF{fTpJinKzw4vQ15M6SQvvs3MAh^SIf-2ou(KS9WA-M`2Pdn>?e!8 zQg7I3T_%sAe3Han`{ZOtxwZbrbj8Ihax&jRe8ga|RnP^lYS50Ss)pk44isstAa)D-RF$U_k^;oLAo4 znUnA3&!0bm|3D49_zF?x>dx{>MMHKS_U3v_H@yurWD_t!4)ETHJIAlT@nd+=rgPdc z7zdr{FTzrutifKr;S|$5ZcSsAtbO>i=7{8(gTc{iU`ym9aRD7I+1rtGvFj0UiKrMY z=qSP(PJG7@2aJr2<`h(L)gC`jg?jtI=2lox5Qg{E6`WzKxkrw!v zJvY0lt-WO!D*XZiaF8tJJ#XQCT`zx|iswQsk{-g%*Mx#_5cP(PExPNE)&}SIK^7+6vW97HZ*K^rZ;jU6ZdZJympv zf#H6O465`>-&1|jedey^N1d&Bn zB9&r>d4OkzsgkTeUeMJ+RP?l(PvED|zz@JfAB2L)OZ$PZHvzR#9A2!@61cW8nT!sO zbm&?93%Ggx0o=&O;6_yYs&}gB{y79pWqm3-?srV4yVniP>Tb^=D-)c{^r>p`w1Nyj zXX{Oe&53c5oBDgTBiwQ6?O5Nh1-6iNmWorBB^)fCBvaFVV;OJ$7k~;~nc$lmDR-62 zh;MMPvHe}htE%R^j=J_BpL}t?*X-ybg>EG)P;Hxog5se80R-`_;q?X*$sO7!`jj6& ze65}p$6<^wo^I3Otj;Ig06;2Ks7b=nOzUROk9vvFGS#?R~12n_^7vhQtP6wkGA3uMNR>{_S zt8j(OX1Zu1+Xw|Uwdcl6dxlERoE_iP4*1gk2WQcx<@P$O35>KRGy7-46r~e_(hQyH za=DdplO=8;xg+XOt*dTQq{lqII=D=_d+?N3Qv1?rg}pbeOX$L{y-k-=WS+GiWS>I9 zmb2oi$Jd-c_er{36U4ePyh|C0zYp5ina zu$M*vNDVG(VwmW2PtD9`MtX7jVd8@Pr+5K`XMuT_F4$fiNbQ}6Dh5sFoUAO!7c?z` zk0VQ2a$4$DP7Vu#NzhL1pdRcnAwuz_c36XMYX>`W86e)9a;G zdTi^XCa6$K)P9J%zF}~6av=Y>^%LrnL7S|01WC;Zsn_Rk*{%@gocDXCqF72=3iAhY<2Wtl0Z3i6tBK$TJbzm?H4hjO|2>A`4G5sVMTX0F3lQOz{HI}UkbworE z1YnPMDd+OxSMfbyyJ;x2s3<@36G4nSdMKxl?NN|Hi~K(D3>(%~L&b)hTvuM+<;l@D zZMU1yX0nJCS50DZ{DCclPEL9_f~v7E)_y;q-br!diRlNco2`cRMGa(b+{lwUIH=>y z`BOvteUIgc9?BVfX=H6Xjx%CXLcf1M+uO2m$y5ac-h-x}X55b(-BYN@c*^VJ zM;i91hVJgrVZ-39v&G?`B^^~<)6$v&+OVO;dWhASG zUp)I}_Sb~D;#f@Et%Q0$C-sl0&kUf#TwV8a>J3hMi4Rjzc&3MuO6g`xPq|_g>1V#V z!v_%KGhwx-Q@Tyu*xRd;APb&6a1GDQI349IyqpJ;PBQHF2`^ZO+Ft(`=*gmgw_lu^ zoZQ{p3z19OSb= z{%U;=FwJlWMZa-vp-yI}EibE}Pilul((Nl;l4AKKe7QGHS-+<8pAuA($U2Km)fUF2 zwL9~CtwXjfm4;-?VpWDSoI*lQAnJHEr1Z6P!gs%wuP+S`7X~6L$`6~vnFP_orm!_? zY7YK*i39fGwhT;L$EL)eB+o)&b3(V-q)m!gGSzL+vvhI|#9dwa$;sTFc-W#zCM2WOA~4PzZtd0nEt{j*mG(GYCj7QuEoF0DqWM zj)oKu(dKF`^}yDcsvZM?plxGALrg2fMDp&n| zI$WLgSEFYh?s-pOJ+ww4tiV60G{|9@wi9MqPt-YXtsPLS=2`p&b*OPo>mu34kskk> z8F$6*?Sa|}ely=JC$+iy44szQSYCAqRG;bnG=Md$q*9CD=HpaS>UJsJg(*RX)D5G;wC{C z@6U5uD84_Rt5o<4qqHF1%N6;yW!YV(6`xJ!jrosMZ`;_8Azt_NomRgz5ht9_z(fGf z!v@dD$Jg)XEp=l)*Xazo32;u}5eJpc?I?O|)oE#I2}`Bo=+l9wI;W`D;SHsKV2Xmb z85tEqjAw`kITCo+&oy9CLcL4^Z3YMCoWH9SVEG45Lc8VEd2$R^=;f-YqTn(oZ9|7` zn30hUWaV;v2~i&}_<1_l!bL<+6vnfi;^D(f?;Z$HK`{?rbQ0r#bdR4@$GXQ^1k9}3 zV-I}J=WuaP{H`Pr7Jy||ZN>;jaJYT6VA2Ji4f-RT z1gMZ0K6^6|SdkUh)5R4Vd9rn^~4`F^qB4n*+CB3q1syS*6BtA z_GEd}9Iw-l{?JBHmP2Tar7j4@cM886P?13QwBd=Nk8^qvLQh8r+6bu973(eh(D!hO zUfRGivUYs&*Vjq|_UhW&<^FtJ1eVj5wsK5r2@tx$HQ+Z46!BK+Z`_b4%7-NU;GiZw zeJXHM^5x(W$JD4i_~QGA@KOrDmNAr(fg#Om6QXPLb936B2b%#x=$kw|5xYqd?*s}x zg=t6DHivG6>i&4;e?5p;W=r1mvDJah)-X4F!>@9uToPO7oCjhn+8);T!jFF5&&nid z*8M8#^sLS^PLr5HihL2Yi0La~Q&hp$l&Z6rG6w}>DaVIDCiPGTmhbsxiW^37{+tY7 zU*pV2SuuT>gdh8rdEMF#dUcOUs13!U!a~Fgv+2JEFE(E+Mkv-cHJyc!N0TIoKF}Nk z1tcea!|9gb?4+H9-5zQSA~~k3-d(~Zw7SET7?sr2`t$tu9y%=1N;*i4>NI{;TUI~P|0!6qp5Cw{MtR>DhwFG#=8 z($Y>@UG%LM6i)L+bx&U>LWuUe&=V|WLelsP`r#UnteR&T4cAnK;O$Wyl3n~|UnH6E zsavA;LkaFQ3+_XMJ^8GuvN2+0XPKbc<=S9(#FCj*{$m#zl3T5ACJe#ct!$=A^Q%vz zgx!01y@m#wN9{t_%wC>AT1Mn$@TWJok}&Vj#qE8`OEycIp%R<*^zk59rASf|`#!Xamb$T40cAl3FNX&#_6mId5^@^R zF7voc9h4t1GERX|bj`u$!NI|akHy7NAx}BU=MywidZO#zNSR`LU2xp8NIr|Gb5d@% ztM@MzB^afZs@U-n?$*ED@QRYJK{*oZtK%ID~By;y;KD$pqz$=Eg>FU&EE(14ZP!qwZ0zb!&K=yfbj$E5uB1!Bl#r*4?Zz9UeK z3Bkg~ z_7H7P8G^?-r_+Ur#<*%!vO4lpBZe9~{|jx9M>e`9&%K#jEL{^SUG?}k@=$h7=Stp% zPC`_Lsks@)>}Lm(T7PW01U4!B>Cj`je8iV{4hM#_sg@ua2M}xi~d#g^#ccpK_GBCCh0E@@KhLFEBwel7yB2rQt>CX z0->Qr%C41=_;{AUN6Is}JqYZ$7#jq=k@U2`+4~Z510PH^ga~J`oKj-O37f=`*e9B1#jk}-So65*jXS#7?3eFXr(TxV(M9;`*3bw4`Sj93c7gFOKCl{BX z(7iX$MObQY3LCEz#&Oh^)plkEtlIzj+U1Fioy^{QtCrz&L$Hs{uiQ~_E>r0tmi0#u z7um4~pxj9s%Ybj>a^IOVXF#A;&+3t;?TbHlj^sNMRh%nR?|JhBBQmLEVML}U-|%)k zEVb|Mf55I@9DC0H>hT|z@t2?G7li{KRgJIG5!QbZPlplw4<2JxT0)|su8wAaFV+&c z4+F!?>=`^|f8mub6z1q>jIpCg9}KMXX0;VhZ2FKM8J2is;Mb;gY(l( zGYB9F7SX^Q2MIl>T?KTu1GPI~zJlbz*5TeV3WchGJ`hZC9H`-!Q{Wu7{~JT+cARi?>0Bcisgtn!q`VtYvtch*`~o8sv1c1 zo7d4!$K9cPcRj=63D-Dp-_4RV^lw*+R^tTIzz0&T0-jd6WBlq@g1-b+Pa$6QpL2Lt zw`=BgPJV~?{jt5UGmiiD?rhHr4f%5DTm3ohC++cW{5KS7Dm%|+RD51O+?juWiS`v0 z(Kepq_UbD5t=J=_AlGq=CR$Ql9J&y!%6F&0$0lBJCJ-Wta$UfA!V(!969Wztac3hV zBaBh5uBi!^@sa~l^kKim+;Cel$V;#vUDCnhQeg*R^hqL>8s@yGe-dNiDbUMNNn$}@^WKT?G z$IlF{ONsC6;{=RbJf*qIkFqqA?{u8)TPxf2Zn+ce2aXhrIB;w)CbKvX|Dd|d(S)05 zY%rJKK)rsXc-ZHX_}nL|uZZ}AbO-oh@ zP|6aNG~nn#c&@8^l=~F!5tlM;3@TcK+7Y4n)?e~D^ZdNLmx+izXeWajBu3@@DuMD1 z5166<4ZzrhCH??sE>3rNuC##61jSpBE)=f^#iiDdg5=Vr#NK&G2P!ItgomrBsYQ0L zFWP7l9zo0=SRMF+Zj71yi@@55&_qB}0H}A6V+>`ceOEme_kh{P5bOKsI#X}7Uz>T1 z)(G)#V?;XFeb?xOp(k^EK7*~DtMXYXpVe^?=MkR?9-_ts610>6>^ ztJ>es*YBNVe(j@NDeDV&>>Cu=Fmpdf{{_2RSyi9Y(a<0W=t=jr%{a+jR31F2f+Xy0 z_~xdv^5~+4J0g3NkGR>wbXM~^YQTYX4BHFZwwfZWWgJf~Le5aR@*_CrnZq?eQyv*8 zbK6}5p-oR;AC60HH2Ov_74d!229(eznCE(PdmG0K>^OVl@Hzb-z;4<1;?ZAT0Na#l zwoA|5@R6fq zv}+i#ldER7w2Xss9oyeI$y=;zHd7}!;Q~G2PW>UNG?8Ochqdjc|6n~hl&&U*XliNA zYW)}L`qHmxHIIc1mFN#QcUth{S)UYh`o5mMdXDbFJb;!@SpTdt8hg155+8OQCgNeXJ&0iddbyKz1HN;(cvm> zZX6gWY4tW^@zio(Ta3HH%y;Yqt9`gGoKfuD*wCy0VH|di(X4A}(47Zs0XV*%u!3Ph zOsrP>K%GEsqL+_}DXYAExVP7_>$4nDH(O2QU%@fBZ6Q6s9!DA~aS8#|+|bYvCUgV5 zJNFMPp=|*SUO*i3^61WLbrY3u8AZU|x6m>$kpzrO1Gr&)+*!$q(!|KDO-^E%Vas)&7% zBvaJ)92L&pHJ-$inoAWUy?5wN-4Uv?cX^v~*RV1tP?gUW`f-H>xkLX@*50FK9iWa3mY}jj z^gKcnTwhwscX+M>Do~+=3>aG|8=AfODfAy?5{PKfjPVA&(fMM-!N}+aa^+vd(nFUw zr2Susrr}S5zFGh_WVE3$OC6vu@I9A-Je87?0)=hxsR{`Q?8CRAb<$}rEftJN-SeGU zFJ8O|2_fo8y$(LolP4HhZr_%Yl1i%mMnXii!36W&<@K6X9i0grBv-j1x_7mE2>eHz z)>j86o(rwv{XWbM%f!Arb(=bO-ZPxYP63QBk|_~X0qZUT_!C)OjXHRBDrK{1I8TJ# zc-x=P zCdu{o#WcXlc19|KlPP)`I%uFI9xvwSPcUJSLYr`xf{a=ex0~1dRr@;WwdCnn3(>+? zN^uchaqYvnLG7|tc>bV%(X(Xe;Z$p0|2?=392_vx2^_KOu)5}ZX=ZUwg9%6Y+o3P% zm6==~LG+NP=7RWMh5OZ?V!yYJ4xQ7MX@_fjd++enK^S%G!XK}$bayHmS%F3Xj5(bP z56*o)tuVbpsW%4i;lxq9$<-X$lVE84K0CtzN20^;6j{MXfeO>=2F!obUL!IeowOQm& zD9>!#-Z>;E=3##L>62f=f$81BNe*l}Q-%5WM>ow&drY2uW;r%8)fMcjJN;>p*7(yt zHFK|ZLYk{3POt>Lo^Q~2{U^wyKU?|IwY1hq=0#IJl%vC+HPmvXbS{AKS_gWZ#! zm-o1`wV&>!e+)|~zdl~;a)bU&Zr^Q$l~n4~h_X&uPeWTv=Il??U@UQGTifYSYO>k5 zC_?F=cU)PcE7QI6bn3{;#b@!(E>gS6C6}lOPe2KP%k;9~+|SvQ!r=)kMH|m};ZDrW zaXrl5{15)bx48mi0`hx)eqb7EcEg(8X3oTQqZ_w-sQG%OxIoCFC%epX zab)$tY7!{1o=VHCQkmoDuKtJk*$Bd*TQ0*&jC) z_R3{$3Gq7lRT^EtfgMe4IA}7m>{M0nVWJzbLx$(1}dcX0vHO9zwI?U~c}YoT1c$HG(MX^uvt1H&jZBc-bpZs7*>r zUg41L;9+0Ma6^T$lcfElt~`i{bv@;*R_sQ0_Ef>un{BaO+s_;!d%PfBMvO4#aQlU)GVs!U!N-f%Y+-q(CnH~r#%@5OrruP|`$*?-{PlWfkhi3x1vG*;(%c0JM3n_CGj z_%CgzufL|}58o@>QE04=SD$LxiYJ{Xx%^|h3w*DY%+Zn^%x{%Zoi%MPw@C57*(pMQDcKObg7 zS~SCDj0MT3a(1(D`S8ryvnRaf%;p1l+!a)h9w$^&CsnC=d?k2y<;pMn%?8}?y&VGX zz3}Ky2HDtA(F(Qr&na+_2o6T%W_eHXUQ9Z@7#uu~Tp%KPAi7vsT-;Ie4?EK)bc5*T zGrU1hEQRiV|HwRJc^YwYGLzL;81N)eG__Be_8`&UEG)|+Km>aIwJ)tN1zQf7n)P6L zJ+8gN#AP1bFV?n zx`GeXIzJyD{+h@pxV8|)dF6}M)b&%P`(v*P-yLoePQoIIUQQL}=A4Th`P3DKJn?w% zn}f^$^V|5gh?PkIA+M{A8i&}kYY$tdHfy~L{kN>ojN1m)s(M;#9ur%B8&g$huB>@n zYZBKZfBDdZ2{yd_g9A+J3mg#bB|LwbxOr`j!f`&#9YFVv%&jY+9 zkHpR~G;r#cKANdKzhdiQlKCaePtU}A->B7%r){8<&HU9y1I2z^IK zapp{Gba!)YMM7bxa^2q0On>!{Z#^*1l0w`656}zx0`hcKO$`j8eFp4-{+HCD z!WlZ@k1MOg>J5NP(a*LLAH+T?JbQ@Hlx6U#Kl3Hhu4pH^JQ};%R0!35DO0X-w)<)K z0yzhGjFszR)Y=9=9rP}pn?h?cPe-QKwy|ta>y)^sE|vt}sehNy7)OqUh$g1}cDl1} z-5Sy@6MN-D5uDWr^$CK5{6Suq9-^qDNe;U@{OzWz98p=dz5_r8h8 z1rR&4Q1Q_Q8bK9g1Sgl44x#3rh?uyaoAmUN2jlMz`$=zO^L0%FU??gl;!Q;UsWo<8 zj@-ZGoqX*TmF$*IN=<94Ok(>L0jFm-jTNzI!Eh!hST=1THJF6GzKThdT>)@5S3=N3SW@4TUJz$lDTG=f0e zkC%T&KaUfiPyqoKb>{Dj`s;%K-?TA2`=ULmLc>ElcuVz}sg)W*V{@}=aFhMyNiXSS z!GooD9-{2JyPWin)6~N(bH@DFI%`h*Q=dRimyJ$@=^vOc{xHm#H)W~3;~_aBQxd}x z-N-iUhvo7%E?#9JH*Jm4bZGky7CFH^6EC|PN^n-e6h8zN-~fb=wH!1t?wV8{LKhJU z6iI%4*S5+tlGQS?osH5#P4Ojbg!E{GC@#nK=)S$(C|?opc17&>)obJ#hAI_>4;btY ztSsKz5^Tmquw^;f{x~Qxw-;PAEUdAb-Ro;zf2G5i(+r@)@~J`pw|Q z_L&g{D^Cu%9LI#(dQ|!BT3A)D{H#S*?&42+W6loC!*?^Oaq;1fZ)G%mQwFr~Mr>cT zU1*O~1QZnLcU+>D+HJN-6tsBi@%cT&Ya8frl?4jCZ{Mh6@{|-DZ_!n}fg^2W24i{r zV=Nu}R$Th4S^X;pmW_p5RZ=_nO8Bv$j&zI%`orE$XDSr1Rb(u6EJg*z4`B(`CO>{3 zDSWu^J+e*z#@+N(Ejvr+#E;xVMHoh4zM%xW8EKC@nSD5+~Aueh_}-@_l#KWw_kt@$=(aQ+b4_$5h3@C#2&Qx(AujfGg+Q=TuYt4x$1P(emALf zB}Z)5Veq~n9J^bXEj?kVG}_I7y&JDK`Dl&m;MY!jfS(F?TFZW71T7Uwg2uj2AIdWm zKa%J)a^q#%O!E<2o)v?~a{Etf(@XWjXf)Ts>jPuO{4Bb-nyAx1SSUS0>9f0H%d2Ha zBH>GH5h zZZd^x_>6Q+o6MHFPrBRGiJx&**O}mU#kE5e{Gja>-ixpaKYHycsJ^=>V~_~< zL_N#-%FR5YfMl>{(lJYQW(pkyT$&aV8cJz#gl@W^)@Uy^l?@)(8v4Y*%c2 zV)8O?<@DPN?jggi+rCE(HYjvi47tWaJK89C=0@M)mJ7vKro{a=DpGHh$>nfI;iWJy zuDA^vDiQXbI*Y^{EfZu5S$=oYDX#e)h-kMZoxQYwVp>dsCzwrUonRWIx4u*-?M`$~^|dKy~5vzqx{_N$#> ziJ$iEs@csEP#E;r8Z1M3I^71*`Zp zL}blPWX*5(mCI??%YIYpzxsX+7E?}nQDR)DA5<-FB=s`+Pj=CEuG&o_s5cb3DH-gD zN&4*m6(-%CD;Mv*T>jrsbaOo4j{1JhDkMNNs zdB+WBhDolcrdF06<_FigXCDW1iCbB!yWE!$XMQX`@FB_I^@X=5^og-fzdT>?qlD?2 zbFbc_%Mp)g7*lNfi}zpG-Gp~Pw72gx*}`ELyivRyoxI|5rxffgV}{JQH_1+Xx6But zu1b^6!%eJ0p2!AhlCTnJ)L}CTvfjv=?XRlKSG=2a2C>t+R!ivH?s{mBKVZ%pZ2D3{ zEZh0iEvnRP4vX@M?^is>7AC6t>X$qXi-;>KEuj-ZdwQERfR62IB3p59?xS~FiNyA*qBeMw`&CD1Y^u5qq#zv^?QiF>?%wb4Vv+GqE8qFhoomoD16+V&h3E>kIt14@ z&g*Q42ptuxDMeOS{5;YC?t!s&;jUO+SQVo}U$R(ba+hf#xtRKdLLuMs>WMskOQwa= zZIyvQ^`}yN`*OF0GR@R=f2dTgX>tr45bbt!^d{H4R~_6Mp5~lCcsbfXB9(%R*b*~u z|MQ|G#GWKPOF>k)zw&NI=c2+o5=p z7%!6Dh(xhq19D@JWGhY-cb1&Jc#9|(4Tm5d--EzFZ1x(!)9tg+9N;hWb=p3yUef8V zCuKlu&i*_#)eBoYo3jC}eV|+K?!q%H_z^mja>iID$>*0( z|DA#_e9;&!lmYpr5SnZ2;{!=K8WeG4tnI<%SA94SZdo+)X8uJPTunJ4@Hi-c*FVX} z*3M{WqF&>oC|80ID`wU#zh6DWqZ-80JaF>K{ zYpXW{(6Kek_QOH77g%K4j$<1aU!PMpzpWX{_|TdMre6!19v9!4d{n6veblROQPE;l z;jG@CuthEDfp?6jd?vQ3 ztSR(CM8boJm5P`^^@O8{fYhS-mmj&T8rz#=F>SiA@(LXvdz|WWf6q>V5FPG)4XQOM z%ddD!W@GNT%GmHFkw8fmQbyXfne zy+f3F8G|A>W2>7c^45A=x-4X)>9f)1(`zM_I4NS6(()T^FKtw9kk`-|f^ z(wn2N2i z`%kabg=b4=6D>}29%I9dQ}|CKb+EWD0AO(Dsr?R0E}r<2@jC)K^H*p2F%NHj;40_~ zLK#Xx6ovhh#A_CXYCRoXYu`V?Xee-G#NyL`$0v@)fz<~TG&Jnw0S~T|Ie+;5w4MT~ zYA~;O4SI7P7pZ5a9OC?bZhQFl)pMs1$wXBXQ&Yf-%Affi_n6O9t;=je5&@{`@b$%u zQyh^2vzdRMYHB`kIZz~vknf5I9i8?Oc==y)#-R_<6?@zQMOPc{)3>a;X;=dFG zN;#o_h}O~Wzn(Y!Zuz+BoeNPWT!}Ndi}(Lr5S)L!@xKs}KM=Z`-f@344(TZ2t*yM# zx*Q<*^_dgzfx^);KEZgSty)W_iGA03jt*}-cb-QJt^d;Zd7!qAWZ?gZhR%GUWZ zl_zY^nEE!xmIb~hUFCUXl4tKQ?GZ~fxG7V@>SO)BQ~80kG+xw;fB=x}>7MkTuX%jv zPa}uC8(Vhc4_NwI{Q>8*X`%aJO&CU)`VI0|czfYDl1Yb8YLiyCZ)ydrrB|So9O2|p znOyogf2-#cicB$XZNm9!hv1b-aXC3TSOOsFB_{j;dACA|i z(ZjqeUN?a68Th?6nR$J_O0>`G!?TB_Uw~M*dqcZbRr9{! z?ho6%;^ZX!oH(B+BEzwK0{FbdM`3bBfVgLvL(hwI1-_B$=5PBS6L zyLE@=WX2jji48A=B4Qv*M(ktH817uTJPFA}KXnkcml9*B@|C%$CzW zD)gjmQpltYUWoHm&&e~f__F6FdgWMK+=+&)m1vds+ax#IcWWl3dQ&Oj0cK7>=ZelfuNJ2_kr;T$-puYwI;LqW;=L=V_IS%S5mr zWs}aqw>vRC&Wo+jki4B$GGf2vwQ7>TY?f3<(~MvEoapw-$Xrh7Q9!#93R27I4@yk> ztxsLMJI#r?)to?X*7dP)Bc5f+k;EbXueDEl-M!`2`|{c%Y+h(3n|ey4VgS|m52@xoswNjByfsnI?tS@TD=6;Ae!P*hrI|)HvH$D^ zK$A)E&aI6rJXm=U>$!bOzEMBQhX1W{mB-Zg{c!$FF^@-84yGZxo-@xTnVqSrP<$qD zre4cDx*I)gn(Mj{^C3=7NLN|gf`9!0MRnt3va_I_KF{u3E}e{(ZtjhAWNb{q;5)|Q zsUo%K9AO{Iw|+CUh^PIb%l%4?yG83PF|BPCSKA$``Z{LP!Xu0I%@;x9Hes*|cu43U* z0e?L!&A@k=qB=%7kC> zK@K^znP+FBW1Th*l|j&CuSQ`u?@`2jWWTfM$6TpT(z9uPi|0IID_yFKLxT96r`HRP zxPsA+ol__%n*TDn@}}=#!O=DF`zCAf;0>$F{qh78b3gk>Q_tH!s2pyl_j8r$Uh+M> zB2`7{ka~yi9CYzx=am4V#zfkE)9%vG(xl}~H9Sd!Cn}0t4YE%J23t&Hh9A=k6!ch< z-G09Mya|kF{n4yWZWIA4E%LMK`wiDp5+s_Hb9P9$W;3%by100ad;bP8=lhJ0PYeCJWnun{lG+ZMdk#ATc+!8dN`OAoBfn*MUc z3ROQmBY*f*+u-F)Nc|@L>r;c7I)zrCjN_Hh%OUYph!mWKwXR-5E3vLM62rrP+#Y|1 zn(t??Z)%YtvActI58uBKLSwk$-uzWW)7gZNu<>V_uipzBah$+Z8pI~mO0!0~{TR|n z>*b&_%GZi^7%uKnw=ZrP-Q#;Kdy+EhtZ5(b&%!lg{bjWtr_eA-npy3}zs#Gb<#&+| z+jq*N89gqKJz{#!%PSgx@GT>_NX7lI@m@@AozYW4ZqfVns(R*TERpqsjrNyGbom?? z&JOP#l~(2)UWdC9RJ{bPNsn`MA85GXNZJH!PxCC2oL{SbtNZ}wSPC%==ALg1w=4t@#>Z7wO9| zH+pe|E5X=IR)^ESAgmFeg4QiIL45@24X8hO)}!ogS6QAM9?<$Q<}AZ5<$dA4Csaqh z%xAMJ-7aSBJ!GMP?3t~QSGJgQ!IJyLswRiuF!x$+4GtjK@N$Ye411VcQ&ie&XX@}I zYvKuW=9ZhuWc_hIze8n^uID`$n*E=V(_UubfyIdsdQhnjDijN_Yq4i`$0!W1P#tJ; z)Eu3=Vh~6RK)`?a7u}etcQxa`yi8*n-Iou;_>&*JJJ))2_bzz1WE5Kj*b8)pc?yRP z$TmnHLuOC+awzkRK@8-EB^tY4$vdcBc&UaPP_IxrRuYa-V~nG2a4-IXKj;G<&cf0)L@t5?7c?Fv~Kl})~zT$&ShR;@3#HQ>D+ z1BuL4f%k9-YiH)L5Ozl#R0MkVI2MlA!6d6M+H1Vdh-X-Hc{Xeqx$c17W)lumHr0Trm< zOyf7Xr}ao=>u&xtUJD7M*0??&wcz)(euruxM((JWB>Tu>`V#w2bsHh$*Oo5bFlSAN zSMJjE?5G+0d`+(94LM|UE~I|#qg(93pxKk2XK~@#$hnwEF5{(GX^L%OOX30hnCqAC zQ9R;se}56#@DhG1(@>!sXL|b*=YkL>y!PRAc2r8YIYh=foJw-=i)I{XOMC=;9Q{bb zH=D~V=&n)c+ckL-G7S`2-@kuve1*e(4SbIJ{s>; zta&Vkv{dA(UZAj>axqYGRy{Q=xU(#Akq`WBq~pM9(ggT{(bR4w?eT8gqVaDy6me>YyIjLuQ-}gpvwc9x z8yxRibBiCrY1*AGg!+HPP6Sl1s%);E)G(5NER$3*bNJzMUe*M& z`kId@!ZjBthr!UXxaq4L6!4Qj);c$Cmg(EG z^Q+;7!JhYTwo}Q-*+Z^*xxbp;%=}kaL7pY*6*y|_5q9+!F^S?BjVI0A!S+=1nzx`2?sy)1-skkp~%(`L!@W~&Z zO5MMwF)Wc8d9X%qEBLCS7*j_w3wOWC;OJ%X&=eU}Mu40OeXo~W&i;J@q`{tyx3}$z z2n8ITi=!&91qyjj1&0eKTZua6AF7ff-!3vu<#5pX^9N+lSDsn3)*i4w3<^uU-XODV zg{v<)& zp=P?w&x2kqiT{cr2;I)Euevmy1-+Z*=DaG=I{8eq>aEK}3!S;{hMLxS19)W?K~(9e zzk_~}Y*agEgkRi<)8bUQT;RZX%d{IKH~8NDhQhncA!;ic16f;(;k%5LN8N;EHeTKK zYcD;-|INoVyu)#a0UO699mNouOn}$T1>U!0Uou&v4D$KxbZFm~GYm3iDE1oru$dIf zy-m4e*Rk&g!Neq&k{l*(yZ1JU`VHUR)W6l!mTbu{vK}FtyGa)s(C%q_@a+{t&9jrU zF+aj@Svbd3PGsABa7Inr3R$G|w={1GC`UIPA8x@fAsw3fE=Khs4j2jfE{lcdSpR$X zR|*7t5KZ_9LEvTH6=@2#t$y@c?rz`QFUkzwVPiMHXaY7_2cz)@kLe3DjF55q*lniC zi5et1>rif=OQ7v`Xw`nyrjjXOT9qpYOQW^}B|4K(Ca5-=DYhC}0}8Wqn>4mWgHFg` zhFsy&U+Nsy69jczObSp-)N@)~vJXQSLN03Jv@3*8fYsZHlAqmpgLV5B16XXYb{*%|i!|xI;W` zxAFyH(%C@A5AW^Hx7N#zTxreIKX@$BGPLkiT^}=8V6e{nJ*Ik<_tc$A?m`0X(o4kO z=R}J3l&x$Eg#TI{{`~j#|7u)%5R{lLI! z8{NN4W>vYr^F{cmG+Jxxq`~agAc#d1=M@ z&ZJ%WFHH{2q}j|6=2a#pc-sC44a2c8H3G_^bnkAEOL~~5o6&AxZuvJ$BINe3+QtUe z>D$UvxRUAj5v1*5rzrRFfRBoRuuxs)+xSkXEi@qKHU4L@Kw6wXY;$Oz*-AE3@=Ek! za#Cy$FDu6)vq4eZY?fm-qQ&?YtUMG=r z*JY$z@sM+0w~x}#XO1K-bTYN5e-v7Tz_Yx6=HO*9c6I4TEUS~C!v*qOhh|CMjhqTz z2x+AfQWX;T@p)q7MIw4=o%T;{h9Bx#-j|ymwZ*!XZ@Gx1tbWpSWs8L6nA}r6YcE7S z*2_*Ti7Z7W#(NFfaOKJ!&p)jiGAtr+bht#N2FcKiXYdo+XKe*9`1>?ZE5|&YN6y8O zU5;QpU-u%E;=Kr|6}e7V#r=nYx8IzL=hCs@KY`Bf{~e)$mHGHpkz#YSX`41LHQxjJdeAlV>UUimBdpg?5s zDgUjaKtyn?*oRTf6|>D2dyJal&DQBHbWcPvZM%OO!J7{GkD5b3kZc-N zXkD{=o53SHO}8heb9~w})5Yp~cga)PcipIVKg|7X2;<~f5|IEWH%UpMp+3N)-6Na8 zD+zNh!>s_TXTclgKG%&g~R#8n<*9%wjU3l~8&X@MBI$aKOLQm1k z+pL^5dux4Hz$Dtwtv?ZNE9Ucj$*CZx_`BkH6SsmCOH z{~#*^vq!`lD;TD3WBK#R%Gn)aHJ@|Qr@D{VXnz+5&U!~4|1KL~6Zz&%3T*PN6}+R{ z8yQAr5x~Aq&76}+oi~lp42`Z}JbbJaxve$aGNAeGys!Bn!825NX1|2~>k7WgNg0I> z2V$cG&ubFKTFS2XzV$>a8+1Km@!o4JH`@waX`g;k>J@YeX{g}ErthJGt1`SZe)Hxv zja5?C?q>UYcX%den2KnhYza$1?Zi7MKBI}cdAH>{pB*-Lp0Yhl4Z*NNyw(klyAcL!1}MHx(WPtH&&IvzkK>Fj7PIG}G*=BnO%1Tu3S^{UKg_jhX9i77qqDJ2f= zdNABOnB?E8L`lK8W55x7U4InwD}~cNCav9g7Fx+tZ|wbQ_w@})yHQtL3qxgd8#0?2 zuW0LLZJB4YZ!#Y{?(FfF;;gz*TPzDsjPnK7Z_w3E+8lnPV4QO=ys@Goq~^FJJ?k9L z=AOm)(Aj?BOY`K+cBU?rO_=(2T%2Ic;O~TdN_*~H)%OS6?ekZwEAXjbG2|{Ktk$@# zy-8n-tPcH?=_bzklj)|j@iuGtP*Nm^Uix=zMVLC@f1$J8h@nzo*D zDu+~$Vt~_2SNfjRRjJvMmenb%x1=E~v!`8=4*g*%{aLqzID6@m_~N11P5k^)1{+lu zuT=hQ6cZoXCVYxOTl8<=I;_udFneol)Ds`!etsH~`V9#`{+Y5rp)E0_YVDBXXV&Tx zXXE1KwRrZNn1Hy86HY)Y6c~D($JYzsXd#+|57_zG_iK`@G6#ejOX=pNAvg>^9j!M1 zk!%ZQROX~eXC$8lG@I*@+!$T;{?4q zN#khyzWrF`VER`-iOSyEtKw&zUU!dM@pMyqTTga3x&+6%S9h5fndP>aDH9<1qKlBeW*!wY z`c7=dL9*r!U7Hq$ifR8y2E(lC)Vj^kk=F!~6UiyYufJWx0v)S~Z@*Oi4R805Ah`aj z5Bd_VE`Kj3ax_>Z3XX7XRdSgAP*(ON-R)gTiXSs|2CcR@s@o0g*-@u=yFA|KcTl&=_inT<+Seo@r8y4z?J1&f z4f5YsmIHn$=M&{6(Z?t*3!RgYa&6e3p?kM?I_Mm(H?Nt7FSKTyV!-pX(?d~ut^7t3+vBb!5WZ6m1?YRLzNLANtR&l}5O==={sjeSE!W^8?4l^xzXobv|2w+_Ip<@x+CIn*}siPAZi~ z-J5d{cCWo%9sT9{Z~lxI6<)n}mY17s;l9TC#t_7iS38#(Qw;{>y<5gt$`F<-q7RF^ zEV;PT@FbyEK{Hf_lHra%*UVkwKYbP<0@Pq8T>5`TUH6xn@Z=BgH2-d%+W5@MG5U%{ zMb_-W19HFc64MA}UY?W3T~+IlRJb-!=;K-OY1`9qw;L>izytpG98J0#x33{T_Z@Nl zw;%FBZE@kcg1Q!3U90L(5fAr;pJD#z`ff!Be$LRkAW_PQA(mP9;249yC^4!#WbOau zaXe+n+k@iLw{}I#qcXIv`%s{afi?bF?{#ZA%FAZ|FXtHMWR z&n|UJ$pWG}AM4nkZmVu3tvr_%Bde+;Q4ij|C5tKLNnjp}8+DL%P`=TRb1z)HI(5=g zp(d>;49of+t`H4`MgyhSnQ6j8S7P7qW=KW7cz?=-KC{!l^kAZOC>hT2DMF~rJ4!pz z*enQ(y9Ymn!)KY~UiE3Jz0FDMlQPg0P5gIWt$17O_ksUf;GYc)xXLh;Y*Npa4<2a% zT04pM`=jir5C^%N>xp%ryI`i`iVtNV@%{Fe7RN)WY;_W%K+N*`eG_hN5dP&FWaICX z)7y{v-P`cZ5Zm+6A;|>L)Ne+sg>Fg0Zk_Q*AKG{VokZVUa=cA6+)wQJY@EdVQ*&=YDr4 z@EOOeg};5va_&@vBZ#m!`sBs|QQ7C*TH{+@sIE)H96Ef3=h5W=eFdHa0Jy?W?bm+A zUjMU^soR2rPhwxw{N<%NERN;5)R)RI3=9lFa@kvtLILnXQ}c(3+!vYa;j*`G zDLG#hFNJ}1nDv+Uvw)HG90M^x=|j^y%)OKYaOv4d@`ZYGcC>B6_O9n=QlE97u7$?& z9|p^U6;4_Pa%b~A#c0~j9dFjxSOWV7;1sj%2@;M!U-v~lE21@Qn4K9#d4+%;2Ee{j zL6urlN2eTAkzn-G#y(lfTnc>1(B^5Tu#C*ifL2rBUcq~s+uV~6WP1Uaax=7xVXh1K#uUXf@{e=#VsDCSEX<^ef37^)wfyuOY!#j{IMl z0j4f4E)Jj?Nu0c+-iM7FgD4%16Av z7@j-xJdEN27ieV+J52yV5G#l+AJRPCW+QR5GYPlw0s;Uu%)ulr2;%(Kk9lHj%pfh! zs-E=;*cFW$Oks0Hefm!F6X+b`KvR!^A7=ax#Seo=vOX zuHc-fX5c_{`>`5klMi9@DvWJWWV*lUcd6R#>6PPe_`xYHdMgL683!u!0~lP%8TMnc zu)B&ENNn_Ene46i6$dUBD{p6a;A_ZFZl}~vka~+w;>&p4?hAB5P zn_Lsk9D0njbECA$fGIZ=9R0`R*NIj=K<6gOzRxUDw8h8)`E1Q=Ao|O1q^`XoVcSXn zb?t0e|0UK@wFlMps`^rFxojZ^ z=7T_jA0(j_uYe(0#1+(pVMIF)UcA0&BuBqe*m_Rx6?G}B zeX6h0<{vIE-3PJckkkAz&}DY^WDVoT6i=&?i9&C_=nL*b9vJ1$5&I&Odh$PJjF2OHrCJeBuqw_tkl7f2qYXJ+z7DKbu1 zZjbE$Ob!MuBv@4Q(T$+ro83J(g5I|Reax|EBu8Te5_BS3+Twgh`L19vj<;-%i(z}y zh&Wq!5H}58O5oG1mnappK3XU?{e$wkr$F+Lu9YNJwZm zL=M&1*jVbinzT*=+DA`XkHKc_9c@=9L`H6RDRAO=-$^mbDfzy8*|9R4V*6N`MWMBP zTEen7#J!DWWHE101+&2zP#f>Ik4dGFa9vJL!2LX)-E2gNYG4_e8dx`cEjY^0}R6qH(7sYf4jf?QEasTHWHpkVBbq-SL@;+&X) znRuY^A-@1MI_l8=Hop=p{0B5>U9~{j^KoY9e&-ZqfC zIs5>z-CXPZk(HwFu-@<(Mef6DWR|7Y>S1^Ei5!o@)J|&{c4#Bci*!QL8LxAUE7$*&f}~ z?VdW@RgZLxy6K0Md6!lo=SWHMkeoEKFYV6wBU^Y?Hk^e^=Mm8814BfFfQd1|+>)h2 z!xn`G9Yfn#mn^ z9s1|)Uk7a)!1i1551Q0E)_|BG&%=WLAB&yig&>&*4{_7bhzMuEDG5tBJ2~M~w}S^X z3kMVKXAsN5Z99R)J{yP4i%4=rZf|XczJcRuC%%1bj4p~29^2t7yFZqkp)+Qjj+Bj@ z@F%D>4cgfJ$V&uuv8*h`v~Dk0)PQNCGXT^MD!8ws!;tS%9HxP*T8=4fxW2)kM0|&i zgChqTc?$~*tE-QJ8c0`3Z|`2?b{CqkqN8KG!8rj2V$SZV6S)2|_6Iw5&Sy+xL2#cM zy1M>|@~>Wc=_WDO=PW0^w>r2iaprTkmD&I{a)KbpM$+_*tG7Z8Pz-k32^+Vr6?m9XL zd+|*s^6OFileEW_w&HCf0^kGUeC|)ijXa9rjIAynR;k{NC&@607#xpKw~H@3Cj6X(NsxDUX5G>{^S_%Do_oQ;d z+~Y8@VBmf1H_r(@OGF`tMu zSzhQgy>aW?^m8BCM&9KYFPb;w@nVd5NgQ0qL;4qdy13isg>sM)3)W6;oLkgya{$b>tijlXUD98LYk7(1UIsS{fQLmu21AbwXUp!I4%|2e2)! zt~-G3s+>`o&?snt&MiOvDo;nweuA_eX!?O5Zh9jEs*_pJbaD;g* zmzsfN3@kVZKHJ6j*=kyjcj_hht%r8NH5QcMnRNj4AKbRewI){Qa<8Ggy!7@4>pjbr<#8;}cR@_7Im*Q3+meyV>_p428vF14YUtdgz6WY#SQf zLM#IibG&j4JvByl@lXIsU77C_K2ma(}xmxJ_a%W7Jr0 z&ro(XHE=@7_hwJV_R6D%>ZPGsdHfR2p`9uRJCh{C!-T7y4E4(P3?n~6CfR1?S(7FY zG@AMs$PcHa5lU4(B8~UuN7)|Y^QojSzbE0793<2{?AvxJGo9v!X6_&|OyhO8blVzr zXaZxSAUVRJ>}*mn=ZglRRV)~&?V_*q^a|R$&RD!~DZ~^=Y7n{5&(__)9dS~emtNJ-Z=0~ z{Cs^uLl#t(#QVp09s+#{3 zx#6uiF=KhhVCVCvZ*?zeJ~)UxJ3qOR4?Ynp82b@J3CqD5s_KC=E7C+mggdYsf5MmofmhV1HT zrckE<<3j`ve`a=e?b7+g#=rhKSMqC9FAbY%k$Um}hflcNw-adaqd{&;XZ>oxt^)PBwY8N$#_FTd z@27~ihrk~s(tugHw1vF}AAe_rPVJg+tkKThEh;G~&}2ge*H7CsbF*QeD>36y%d`Z4 zO!ocjakQWzZ|y4j`%S7{s8Xf+lT7+`)&5t)>CXTZjuI<kI-7v0GW>#@uXzB6yrQ!V zTBp=LMLSy@^qx!zCT>Yd;YK#cl?BxsA3#J!?k@w)lXLU)mt4#%;@1FaZfarzUb|Uu zme!q=k7Z?hfO&`AI8b0lf}DE(6_8=^!cI*^Bm{_w>1;hLMo1PQ5p6Bo_9>~UFKdlp zwtIEZuxQZV`nd2Q7gO4@Ny>IqTw~ZXdw+D~{FxkZFvA+Z_w>}77LWpAGASvw+d1j} z^}&GwgictvEH%~iW6i3Lxp}%O3*)U%jUd+ zL9)qL;9v&T?=Y|Q`dxWO`18fNIsd@G6G){#sImfcBy5refxQd?FdmRi*{@x@;t$RQ zzBgRox;k0k0}IGQO@cgeVa>Rp?HDpA0Lk@M6$Maz@K=+mNklUF(U~~XqLik*&Qa|DK>oLn%pp$~G*m1Zj3tS2Q zm{!w*e(MsDKJ&e!0|zohkPu@mm5h#zj$%MA7uebN$O`wMr()9ii)jHq?o-&{>KC1V2oIen+yTL@Sd;?yMy>8J*Hvnx=26ju92ERk|VOMbn|2gB`j zd~t!!ANKb48cxKtLgV`s!3H15^J?9{4^Tjm1_K)JBD6rF#G1G;U}QiN_jkktB0Tqi zKPa!kauGBehlhtj&TxEu91vDvcT!+Za4KX2j+-C(#-KF#@egaA|k?W8`#?5T?2})O^|ABn}vyq3BnX0 zZ6+q(WFrTCRE3m#aKoGZ_$AnB5Kv@;O95iY$||;G0CCLxUa3M%EiZbUq=U+qX92pf_jjA8tiBQPD9S_%<~B# z;3H#YdeD}B1>+)>m{(B13k1yK;$qNi;ox}HYAT{4;$LgDolGN?*7N=QH`4-$1wkMk z$fc5*d`Y>vHlU~njKe6%E`MY$f$CgK zEMnCbKe9F`bkr6v+*Hn_)s8LPYEjh>UI-}m>TIh0Y`mYy-Zy#}$caP8_uMCNzr`pY zyjC2^lzU22f~1g`C@L<-^@dyEzQoDSu9U3~8yAJ>mh1v9F|1Lh?cVG0^Cp%`mX=wt z1z=|*K7M|9-rCuwZxgvDX>j1i`8*|-=WLx=bWyb80gCGfhe#jJm za(QDh-PGDzG`Q4O5F8#J4kZktRT5%iSs9s)jg8k2CYvT99TAZJszpQ;y<`o83RscEs{K^V!QDBC@C#dN_i$(+#>w)H0 z|B|!4E7L+}5y9MuHPrwK-nOUt(#yKhrGN-!NKcMLE!5Lwi}Akco7^)RsS=HdjJ@nI zBP1%?(t$Q_-gJ?8*1^Y{s#ZI0`{vH0+qZ86jTEwT&|hCa39=o}hh}fPYw*F@(Q0Z? z=IHMk7!csli?{1AE9Cj9_zCO;Sc8nu4}=;0s0R+9H>=htBrZ7<^lL$$VzvmckC1Ar z-das9Y~cXLQsx&HV0FOj+`03z(_9pNASlGu@!KvjH#`b~lWC2ckx_=_B6zNKTCxaT z&#g=W%w*)9l(w2@Qi;E`C18^QmAvhno!lq8RfxB104?37T5p$-AcS#&Bp)2&_cFd) z^25Hdzjy*0z`=;k$X(z$gH`}+Rb37NP|F1E*N2j1LM(6!5T88@IfJl9P%ifb*XLI+ zx-LB6VL9L=3pan}5A&4J1`n-2G}qw!d!@FiN}${<+x43lMu@43IfJJ`AURshqj){} zPKq#yo=E>$wnS3hE#_%2+h!dyo=)aDU(cdx}ih3WBSnONx(s6O9HTq7OMa z#hPr8tFHv5ul2#5ogF(3V=y5v>L+oK-6%?Oa&<`cL(*lYg$nl9uEkuNMBuAe&chm^ z-Ry0&AHl}BSB{t#bk4Vq?lj)5@4wsD)I^_LVKGh5fKOF7`znAohvu~?@m-gM(I-dC zAQcGW1AwjPJa-CoHP#!LBb)UGk>8azVj))@HgcdR#Fk3ZI#s3$b&3UyDf2} z5s0_D=Nt<^*R`(Pz_?7!h$pHxm=?sPvA|LC!*UCxjB5K{FNMTX0_B!0pcW1!NRhWh z&h2`lZ{L2QpS!ZKFlk?EUs?g`j)~AJ4gKxVUs^frZY6;#ot1v_Zwq+YMkEcoTBd1A zst)ux`Tp%HLth63zzgd(l(JsRWU$vf#jD}iVqn0lTb37lY+(VoUxsppHRD&*qTpwM zawQb>R7}Cqr$M1kdc&Zr8Hs=FedZGD&KUyaspOb`zKK@JC|U#|A|?iZs}Bz-8LvS^ zywbgBU7gPNKx}?_Sy@rhk@(x)jQcIqN#LL)fRJ9lAFd>``@zsv@QR{ohQb?*ArB|zanDY7Apjw#L$oq zbpP1MH8eC-oMjpUu6doXrz!Ce^Q`dWF#M!9#HCgy#^95ucEh*R+%Z1c+QK60f(q9$ z$GW=>&6zVp9M(jZ?WdHSTz5(SL>oUw%zjV&OO5kS6*?3s~G`VY{`dMwbyczxNH(_Om6lP*jREK%Yjy zib));2FuUN|7P75<>!Z7NdT$KAyC1dVhwBD06~n>s*;{zxLk3Z!Y91-%AILMU0+{; zaYM+?tjy2Tb9&)Kfl2XmzYF?TlQ+9S=+&`&d{OE;n36Jgza;h*Tkt~x zKMy?A?zz^;r5g$UkNn3^*Xqxtk_|NTS0*wJ_4Q~ z#M>ULwG@zxh|RVB1W6Le#XkYvZjjglLq&TqM$obga+}(05g@NU1BqL34qb+wC>+ki z@x^xun+e*kyKDoYk#IeG=fuMX31Q*A?2?f^NH-0Rj#dMbduB)Mf=?duu5y(A)WgFH zwhu-1->5|)faP-vqD^lz%5P{Ej57ExTtw*}bM_hb`s%cMHi(+lkPR2p%+_BeCf35! zvHn-7NO*J-w46bpwt=-0_Q0fPDt&8?UU`dY0k+n|2Pu>b{*ldQFiOY)HJqx0&rk87 z`Qc5UE9IJm$Cjm%(pkjwaI+5*Xe!8R{fi$67ndc*G{y3>;o;grM@@6`d(mF+{x7;% zffMs4s_qOpL+_;UfH+ENX}@WKlDZ=4_?>AFUUi8Y3J+QqQ=a~3MXIw3I#&FbW5nF= zLjv!f-3eE!||vK#>J(C2ZCY`nj0h=}5imm#_H5!Qetogs1jm1E$wgD7-zr>464 zjKTqGPKh7sh+dR`xcGc-;>);&)5(kQX6-LI>;|`*f~PfG@9XP(8P$Gb{>j1DPqxP9 zn!jkV2bmo#?<|9AG$eDu5d^8=M{jp&A(aa#?gY0Ps#&=iPvBRJz{S1eNn@NVzuFL&Bb?z5O*tMWr3G>yFZ(cRzUp9V{*(;;Is|I5(KoSRedq)14g` zyCKNN3ByCozyL_NZ~QD@saohWSb~)QP>n=Xh#zKxvK~Xx!Ym&O}hT9A3N6mb(1>EZ5c`wrAh=F> z=0HHkS1cmr=fRGw*C4Z(Fe2#s>z!1h<|o^6ukGR4{q<#LVh6Df*DTs?NBy_TRb zQK@WY$i8RGzC6QVEHmFZz0Z4m-|-&rf1iJF&&|xeUFUiImg}c|EWPZmKpt^BhgHiv zXMwI6d13~{3%;X4+#ue-iyL|DINvz3zG;4yTTSq4jE3*G1U+;|I(#k>5p|LdWpx#T zZprpMfgg`^u?S0MzwRUY`MA4Ny7P=iyywJ&>;GN>P@lVQLrqVw8*&%FE$eG!xPaEg zarFZ5JJCQR=&F(dRr&8X@99*F{yJ8@Sz77?VbA`cI{;eMRN3jeY8pxW2wQdQE>Mm!DiXmRWp%XvK9j zTVQJLAmTOq+Y{79$#E5_tMf!U)p?!wRrlBFP)WBz1=BYjrQ4NT5l@ojBlZ$}V?M>8 zRX0D7=>0l{xQu+0!_o>tLe1lcts#|2GJdDjCP-BzEYj>lD&6zfNg?5iqQLQlsKSu2 zkbK`Q4_YL53(JFm_LJ)0rH)akil*CkBo=wx-#;tS%lf;KMU!X%DDw{KbK{lGJQr;8 zOjUOW>n|f&LZ&qmzg`j9m}3gmG<4io+1Gu&)ve=c)O9`io(cLm`yL9;-Bj7)ik3?ps*6DI}{N2eg1jqm2a6mFWgBFwS#}$jjq^ z=W89j3Za@@VNagyuGwKef-iue66*nhj$D~#v%#Sb;l&_FkEFVBH51L#$gJk59@7hl z&(XY4*`hRkBdw{+T_!F1aRS0=#ZQzk3llzb4hUKtx_gL-tn7=BeB&yMBG^-&Ny_=s+`H8ry_?xKK!JR9%=>g zb;r{R3kyM|L(@FwwqQ#9$aLkMPU^tQPNWT=3f{ECW!&(g!?^42$429meqXQ92I_Or zTg?xBoJZ}rYbf=x`44rn6LW%)3=w>kgRJ%N|{7!=INCLR#z*aVl*=1;@IAyVdh>6V9?pK9p=wV z4P#xcmfkw(Phv|t%sr@$^rx69&i1%kv_a(@^(H^ATz$=C3w(j0@ zbzyujpY478x@6@xJcx2Ptpd-`#sB6zs%ZJ?&z6SncP_!15C)Bc8Mr+bTSrLLn|+2^ zHNJcE?PrH>cKq0u&!Oi+X(&|DUB@b9U0Ps3=nYQ;xlOyi=}gM2c+CbC+iLPTXEeUg zQV>V`(q=RW>Z`J2wfVFY5cu=TZu z*b#_|jct0XBieWVo`BQl>I`rKYHDh_Iy#kARYgtOd-m+vwlVk>TQqtg7^w>=PDKUI z+q=4+e1H#i%}e89Y^CB9xooatCCzI75Vj=nWy1*3(jJMktuW{;P*Cq^A#t-DbQncNWr70Tr<_V;@ zAs%gM*xdYr$|jRtV0u0}YA%lbD}INn9v15#eM{kgAbT zNT9snxOKDhudp`fQv^e~cdpM!wrx+Ne8;|0eBUJA)19?$NU#ckmw71q-AjMefid~yed92akK~J)UOc2Y+135^$81R- zhD$;A#9Dig_G!A6oPFqfLY4JAcGx_j;1^DePsfFvZXU|opp3tUIh9U4FBwRGhmXQW zB(F6Touyk-rwfw~;)$|?V$ltxxCWB0ygq%oX$2!YTVb$sSwUf{H~jHD--l`knTZCo-TnSVD)F%7mjE?3{FjRFh1^nywI~V7hk+9(diONXTfPes$ zs6@Hn=!?p^e@a5(8yBWx+=fu*K)PCs(K+{7kjUr= z2&4iyI59a{wcNaI3|ENas!1t_1ZD_s(>GiAA>E{lR@TKL5bLkEaEY&s$e_jnn^dph z;xJ*W?agK7+bLV!AWwjtPM`*Rc^^n{@$h8p<=__jAt9UT_fWxk=uoIFr25Lu7*jgr zXAdGi2({gr`X4hN5#>%0#hXRpPw{!D1dPtR+H>m z+r1kxD9oX=3xPmXes~}u!wf$ly8pdlNAZ^5_}2))>#N0|6gu`5rv}idpb(p_O6#it zv4ZpXSHG3-@5Y#9#UEN55!{2w1r}Iw6m<-U%@FvOV zfMM^QYc<~6RfB`fKQ0p0z8r+nE($*)R9&GD)C`Duq2&TTF3;5^qvo&RC^7T)_M#HS zZX!!G+MKX`7!FSl|5_ubOEj(-NW+po-;sysvAFMZ{P^f-VEGbKQv5+{JW%t=#3%o+ z;3uKey;+9A7qCr)J_%!Z4`=7UfwG2#LVm9aR%yx=DYAp1vl<--ftzb&jRX5rg z0^#JN5KQOc;em+M-fmg@vi@SaNx>SZLkZBE0TBfD2I~?pcpuGpv14+My)BY;-(2Ib zpDM|%ATs)4wJz+^X2nI+^ZAiFI`?o7bqbYMS}I$vi|QC0+y>y~{GCo@eV}NL;WKq2 zVwztpz;p0SU<0iiR)=jDcUMb2bn8=E`eAN16UFk#5Q}#Od>quDP3)NmwN01goz4%G z6ckTO4GeE=C5QL(hWF0MEm%2^eGUa9ghJ|YazzE;>C%F|Mww?hpPL1&Cw^xukG=g* zFDkRo4;B(!W_91I3%LyQsv=w(f}CZBLzmTDGG4vn>7KMETyX)gg>C>M2^g;ch=W?5 zDt&)1DQZ2>l)fgXW8Gp32^qs>a8RILDGG!^1$eZHPimvL3;cHm+4-Ccix!pd(w3h$ z&Hj4jx}_H;^hP?0$p0rF>4~VsVv5QXd%oX2@BV+aaRVWC0SAuJHYl-bmIVZ{-fr!S z7cT-h*7_D#F`Z#{EaF}Kk>sm_#^s)+s>huw6D_G#JN2Buww``jv0*|yGHYC0KtERH zICktB#_zsxL2+?0sPbOEJPLk{o;grKKoFXN!Li@19dvj41*R}ZabKWFnmrh*Ua0*p z5P(s`I3Auqqn|%mHdP$0k--v__WJdQhjp4b_J)I<_7VE|7d+E^3b*%~)ZnqpAD*A? zkI!DhDfx`H^lYp^Pa>Z`SuSU)Kl0wbwwCn1$J3KyW9E*P1m2Ye#ll*`S2eD&Bw-WK zlo4|ZjV2)i3c~R`>jI^&+`O~u8P!$ZjrASZ(S{t)@%SDSABk|7o_2S2Sy@{vd~3q| zwN9tTjGvxezef#cqp9iQbmcZ@D!Ge=TL%Oz*~9$hV(P)Qc~1L1^o+p7!m z|HkMOuwG)8PH}>+-v_|-Lq$YIv!Tit7sqH7pB8bFGPY1YrG^38D8HK4b^=@o{8lU6 zhi87OX?91Pz~dr$hi9fNAejep;d=_qNU7gZ{uWY5KE=_>s1lnN0gxkea$3aNc2=15 z)@{RVgif2cioJ*yD{}R~t4@Dq8&via59Pb_wVIgL=mwVphDg+H(Feg-s(#e)a!ilT zol)`6-u|3L{(vZ;5pU#$F`D0+Y>&2OyH?A+h(`k*R5Qzj>((*}kXQ*~gy7)dKF3Ag zH^AP9hK0elmDSZh(f+p-3ycoA;jj&T5(&OWF9nA8yT2*`FIAxX)K zIG=T^hci`BnA6kKN8Z_vtt3Rb|a*f+yb>(}w z7EQ9TInqaEQ^q0@t+s8O>^vvP2WAEMr_dtZmh)uEpdlRRLOJ)@e;N#T8A8od^`V+X zh3Zv*vD#6ox-VVZeC$f)->BO#qUBU?WAkCg*<=|XVd+F~CWf0#ey zC}raF2u^I~?Y6VL;`{RfH|0)EzVWIFnYMN>!aBM2tT4ylIO8xh5FQ#8Rk5YLU%#65 z-_=^+83M}K>E4@FxR)w^)xYl{MUQzWvRZA8qjmF7sjMZR1P@cM8g_SV0VscKOHKzhE0R25Dvo52| zO5Cg25N7-^xc8q8k6yFDuOId(jL=v?`f=cZWrKA|Rd#lB0_7;9L_f;)$==Px1mU>1 zvq0o|F7dmgFbCs5IH^OlHOL1vHCYEoC73fl{Gc%_lg)Vc;hAN1K=8*iZxI%1%qKeejjXo zt^et1Gvj56M-S{7-;EI$p(-ODvATWBg0@C{+C zI&r>*FFrYWs17A4d2EViKDDQgrYjl;%I0t!l?eMejm%PChXtts%>nuwiK^FE z1wk0ULvE2=BKyHn8@G^1lFG^^r(%;Kqzjyo5+rum5o(oOC}`I7a=I#<%Tn00jTuxM zW;H5cJ3W&X4%KN3`Yf}69e0#W;&&Vh&2bA*_F}7+5L-}dDkLw0!|7z&K=}Jch4&Cu zZv@IIh!jUcm^YeEB{`~5KxdMCgJB>-wu2Sx`l;AUZ;q$I=mw&g=;VRnVWNGPXvS@Z z4GuDp0oCTb1=C^>pdrOgYr%*hD=eH@TH0A`;RC^wfDU_UeAQ)0cE2TE=!jW>r1VBm zkf<<-DR{*820r$C77<}mWU+^L=42X}s6ajxJVo?K4WA;iwcM|NsC+f!2dKCsc;)$( zy@;%>`WQs!Gu)O^G*q3n3DtOt11O*FM;qFOM@*;zAPB@JrV>*CY zg=|)6|3FLzUm(ALgug;JXvb4i%?u4ixmcq36v52^d zR7zlAU~FtG`=93vL2;P~a)4J|{r#JO+TOj*kc=f=SOEnbXFC`+z~D;vt4ax{^RM1w%U{I?8v_6k6?SC>wG3{JKlZZqGH>P>6{D%+qEv{cbkVyCpgkUjKdizz(sn}4HkG8Ugmwv^^ zAMv&{yiXkeOXnBrPosydyiG!YbUh8rs@6GjJ0# zlD$Dmj)pS<~IAWy9+Rv0I6r-WBW>!s8Q@G75*1x@{VU-`#5N(`#D z(EPHhs_Omw>FVj`XB%Hav5J530-*i5IUOCHLJJ6F2P+da2ILX^?=yHOh2d?=73*%A zx~}}Eitl-tFG@*82e6>wvrd7wJs~!BWxj;8=5}#YCPF80X~KnCYS#fyEO9gE zok(0L0;XSN;4T^6o3#nXqG%&d-?YkqN5N>#?#J6}U?ov;{q^kQy+*h^;o&XK%`!X@ zfEviDA@?&6)xU!WTk}c}aQ2_ravQ38r4tP;E0i#9|8mpW1LZtF4uoy*V`B*cse2#b z#5{QTDlV?f;tR{#CqbkijXJfxKItuyzvYs#QfS1Eaa;cRaS!W}((>}+=Z0|3Ywk8& z19DEA`>o^vq=ABS20&Lo)Q=gr?m&Ixy74FP--}eA;T4^ln1D0j3HiXd=}jzwqUY!+ z#=EN)|94M)a=s7(G0gxK3M5>MEG$l_<+?m)U{BUjSJ@uIegGXu~1Q9-L+; zU>wS1bx9qg@+}>uF)HvQv$UlH^xrl2_UjJ; j<56(h_5b eps:\n", + " m = (lo + hi) / 2\n", + " lo, hi = (m, hi) if C_in_gamut(m) else (lo, m)\n", + "\n", + " Cmax = lo\n", + " c_oklch = Color('oklch', [L, Cmax, h])\n", + " c_srgb = c_oklch.convert('srgb')\n", + " \n", + " return Cmax\n", + "\n", + "def quad_bezier_rational(P0, P1, P2, w, t):\n", + " t = np.asarray(t)[:, None]\n", + " num = (1-t)**2*P0 + 2*w*(1-t)*t*P1 + t**2*P2\n", + " den = (1-t)**2 + 2*w*(1-t)*t + t**2\n", + " \n", + " return num/den\n", + " \n", + "def bezier_y_at_x(P0, P1, P2, w, x_query, n=400):\n", + " t = np.linspace(0, 1, n)\n", + " B = quad_bezier_rational(P0, P1, P2, w, t)\n", + " x_vals, y_vals = B[:, 0], B[:, 1]\n", + " \n", + " return np.interp(x_query, x_vals, y_vals)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "c7d2d1d9-dad9-4f8f-8417-c22d38f089f0", + "metadata": {}, + "outputs": [], + "source": [ + "# SET LIGHTNESS CONTROL POINTS\n", + "# L_points = [10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 85, 90, 95, 98]\n", + "L_points = list(range(10, 98+1))" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "b0617a01-cb05-4950-9bc3-f4fd0de63f56", + "metadata": {}, + "outputs": [], + "source": [ + "# FIXED MONOBIOME PARAMETERS\n", + "L_resolution = 5 # step size along lightness dim\n", + "L_space = np.arange(0, 100+L_resolution, L_resolution)\n", + "\n", + "monotone_C_map = {\n", + " \"alpine\": 0,\n", + " \"badlands\": 0.011,\n", + " \"chaparral\": 0.011,\n", + " \"savanna\": 0.011,\n", + " \"grassland\": 0.011,\n", + " \"tundra\": 0.011,\n", + "}\n", + "\n", + "h_weights = {\n", + " \"red\": 3.0,\n", + " \"orange\": 3.8, # 3.6\n", + " \"yellow\": 3.8, # 4.0\n", + " \"green\": 3.8,\n", + " \"blue\": 3.2, # 3.8\n", + "}\n", + "h_L_offsets = {\n", + " \"red\": 0, # -1,\n", + " \"orange\": -4.5, # -3,\n", + " \"yellow\": -13.5, # -8\n", + " \"green\": -11, # -8\n", + " \"blue\": 11, # 14\n", + "}\n", + "h_C_offsets = {\n", + " \"red\": 0, # 0\n", + " \"orange\": -0.014, # -0.02\n", + " \"yellow\": -0.052, # -0.08\n", + " \"green\": -0.088, # -0.105\n", + " \"blue\": 0.0, # 0.01\n", + "}\n", + "\n", + "monotone_h_map = {\n", + " \"alpine\": 0,\n", + " \"badlands\": 29,\n", + " \"chaparral\": 62.5,\n", + " \"savanna\": 104,\n", + " \"grassland\": 148,\n", + " \"tundra\": 262,\n", + "}\n", + "accent_h_map = {\n", + " \"red\": 29,\n", + " \"orange\": 62.5,\n", + " \"yellow\": 104,\n", + " \"green\": 148,\n", + " \"blue\": 262,\n", + "}\n", + "h_map = {**monotone_h_map, **accent_h_map}" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "46b619a1-9118-4576-9100-c1265ccd15f7", + "metadata": {}, + "outputs": [], + "source": [ + "# compute C max values over each point in L space\n", + "h_Lspace_Cmax = {\n", + " h_str: [max_C_Lh(_L, _h) for _L in L_space]\n", + " for h_str, _h in h_map.items()\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "0da9d0b5-fa60-4dd7-aa55-0b3c81e503fd", + "metadata": {}, + "outputs": [], + "source": [ + "# compute *unbounded* chroma curves for all hues\n", + "h_L_points_C = {}\n", + "h_ctrl_L_C = {}\n", + "\n", + "for h_str, _h in monotone_h_map.items():\n", + " h_L_points_C[h_str] = np.array([monotone_C_map[h_str]]*len(L_points))\n", + " \n", + "for h_str, _h in accent_h_map.items():\n", + " Lspace_Cmax = h_Lspace_Cmax[h_str]\n", + " \n", + " # get L value of max chroma; will be a bezier control\n", + " L_Cmax_idx = np.argmax(Lspace_Cmax)\n", + " L_Cmax = L_space[L_Cmax_idx]\n", + "\n", + " # offset control point by any preset x-shift\n", + " L_Cmax += h_L_offsets[h_str]\n", + "\n", + " # and get max C at the L offset\n", + " Cmax = max_C_Lh(L_Cmax, _h)\n", + "\n", + " # set 3 control points; shift by any global linear offest\n", + " C_offset = h_C_offsets.get(h_str, 0)\n", + " \n", + " p_0 = np.array([0, 0])\n", + " p_Cmax = np.array([L_Cmax, Cmax + C_offset])\n", + " p_100 = np.array([100, 0])\n", + " \n", + " B_L_points = bezier_y_at_x(p_0, p_Cmax, p_100, h_weights.get(h_str, 1), L_points)\n", + " h_L_points_C[h_str] = B_L_points\n", + " h_ctrl_L_C[h_str] = np.vstack([p_0, p_Cmax, p_100])" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "56fd3826-c2b7-480e-ac42-a72e96c045f4", + "metadata": {}, + "outputs": [], + "source": [ + "# compute full set of final chroma curves; limits every point to in-gamut max\n", + "h_LC_color_map = {}\n", + "h_L_points_Cstar = {}\n", + "\n", + "for h_str, L_points_C in h_L_points_C.items():\n", + " _h = h_map[h_str]\n", + "\n", + " h_L_points_Cstar[h_str] = [\n", + " max(0, min(_C, max_C_Lh(_L, _h)))\n", + " for _L, _C in zip(L_points, L_points_C)\n", + " ]" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "3c257cdb-7cb4-4aed-b1a4-bb560f4848b0", + "metadata": {}, + "outputs": [], + "source": [ + "# put together objects for output formats\n", + "toml_lines = []\n", + "oklch_hL_dict = {}\n", + "\n", + "for h_str, L_points_Cstar in h_L_points_Cstar.items():\n", + " _h = h_map[h_str]\n", + " toml_lines.append(f\"[{h_str}]\")\n", + " oklch_hL_dict[h_str] = {}\n", + " \n", + " for _L, _C in zip(L_points, L_points_Cstar):\n", + " oklch = Color('oklch', [_L/100, _C, _h])\n", + " srgb = oklch.convert('srgb')\n", + " \n", + " hex_str = srgb.to_string(hex=True)\n", + " \n", + " l, c, h = oklch.convert('oklch').coords()\n", + " # oklch_str = oklch.to_string(percent=False)\n", + " oklch_str = f\"oklch({l*100:.1f}% {c:.4f} {h:.1f})\"\n", + " \n", + " toml_lines.append(f'l{_L} = \"{hex_str}\"')\n", + " oklch_hL_dict[h_str][_L] = oklch_str\n", + " \n", + " toml_lines.append(\"\")" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "281de03a-1ba4-419a-a991-1a9be2a66667", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "

" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ax_h_map = {}\n", + "fig, axes = plt.subplots(\n", + " len(monotone_h_map),\n", + " 1,\n", + " sharex=True,\n", + " sharey=True,\n", + " figsize=(4, 8)\n", + ")\n", + "\n", + "for i, h_str in enumerate(h_L_points_Cstar):\n", + " _h = h_map[h_str]\n", + " L_points_Cstar = h_L_points_Cstar[h_str]\n", + " L_space_Cmax = h_Lspace_Cmax[h_str]\n", + " \n", + " if _h not in ax_h_map:\n", + " ax_h_map[_h] = axes[i]\n", + " ax = ax_h_map[_h]\n", + "\n", + " # plot Cmax and Cstar\n", + " ax.plot(L_space, L_space_Cmax, c=\"b\", alpha=0.2)\n", + " ax.plot(L_points, L_points_Cstar, alpha=0.7)\n", + " \n", + " ax.title.set_text(f\"Hue [${_h}$]\")\n", + " \n", + "axes[-1].set_xlabel(\"Lightness (%)\")\n", + "axes[-1].set_xticks([L_points[0], L_points[-1]])\n", + "\n", + "fig.tight_layout()\n", + "fig.subplots_adjust(top=0.9)\n", + "\n", + "plt.suptitle(\"$C^*$ curves for hue groups\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "b52e351a-fa3c-4d60-877c-75a938b52289", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "v111_L_space = list(range(15, 95+1, 5))\n", + "v111_hC_points = {\n", + " \"red\": [0.058, 0.074, 0.092, 0.11, 0.128, 0.147, 0.167, 0.183, 0.193, 0.193, 0.182, 0.164, 0.14, 0.112, 0.081, 0.052, 0.024],\n", + " \"orange\": [0.030, 0.038, 0.046, 0.058, 0.07, 0.084, 0.1, 0.114, 0.125, 0.134, 0.138, 0.136, 0.128, 0.112, 0.092, 0.064, 0.032],\n", + " \"yellow\": [0.02, 0.024, 0.03, 0.036, 0.044, 0.05, 0.06, 0.068, 0.076, 0.082, 0.088, 0.088, 0.086, 0.082, 0.072, 0.058, 0.04],\n", + " \"green\": [0.0401, 0.048, 0.056, 0.064, 0.072, 0.08, 0.09, 0.098, 0.104, 0.108, 0.11, 0.108, 0.102, 0.094, 0.084, 0.072, 0.05],\n", + " \"blue\": [0.06, 0.072, 0.084, 0.096, 0.106, 0.116, 0.124, 0.13, 0.132, 0.128, 0.122, 0.11, 0.096, 0.08, 0.064, 0.044, 0.023],\n", + "}\n", + "\n", + "ax_h_map = {}\n", + "fig, axes = plt.subplots(\n", + " len(monotone_h_map),\n", + " 1,\n", + " sharex=True,\n", + " sharey=True,\n", + " figsize=(5, 10)\n", + ")\n", + "\n", + "for i, h_str in enumerate(h_L_points_Cstar):\n", + " _h = h_map[h_str]\n", + " L_points_Cstar = h_L_points_Cstar[h_str]\n", + " L_space_Cmax = h_Lspace_Cmax[h_str]\n", + " \n", + " if _h not in ax_h_map:\n", + " ax_h_map[_h] = axes[i]\n", + " ax = ax_h_map[_h]\n", + "\n", + " # plot Cmax and Cstar\n", + " ax.plot(L_space, L_space_Cmax, c=\"b\", alpha=0.2, label='Cmax')\n", + " ax.plot(L_points, L_points_Cstar, alpha=0.7, label='C*')\n", + "\n", + " if h_str in v111_hC_points:\n", + " ax.scatter(v111_L_space, v111_hC_points[h_str], s=4, label='Cv111')\n", + " \n", + " if h_str in h_ctrl_L_C:\n", + " cpts = h_ctrl_L_C[h_str]\n", + " cpt_x, cpt_y = cpts[:, 0], cpts[:, 1]\n", + " h_w = h_weights.get(h_str, 1)\n", + " \n", + " P0, P1, P2 = cpts[0], cpts[1], cpts[2]\n", + " d0 = 2 * h_w * (P1 - P0)\n", + " d2 = 2 * h_w * (P2 - P1)\n", + "\n", + " handle_scale = 0.25\n", + " H0 = P0 + handle_scale * d0\n", + " H2 = P2 - handle_scale * d2\n", + " \n", + " # ax.plot([P0[0], H0[0]], [P0[1], H0[1]], color='tab:blue', lw=1)\n", + " # ax.plot([P2[0], H2[0]], [P2[1], H2[1]], color='tab:orange', lw=1)\n", + " \n", + " ax.plot(cpt_x, cpt_y, '--', color='gray', lw=1, label='Bezier polygon')\n", + " ax.scatter(cpt_x, cpt_y, color='red', zorder=5, s=2, label='Control points')\n", + " \n", + " ax.title.set_text(f\"Hue [${_h}$]\")\n", + " \n", + "axes[-1].set_ylabel(\"Chroma (C)\")\n", + "axes[-1].set_xlabel(\"Lightness (%)\")\n", + "axes[-1].set_xticks([L_points[0], 50, 65, L_points[-1]])\n", + "\n", + "fig.tight_layout()\n", + "fig.subplots_adjust(top=0.9)\n", + "\n", + "handles, labels = axes[-1].get_legend_handles_labels()\n", + "unique = dict(zip(labels, handles))\n", + "fig.legend(unique.values(), unique.keys(), loc='lower center', bbox_to_anchor=(0.5, -0.06), ncol=3)\n", + "\n", + "plt.suptitle(\"$C^*$ curves for hue groups + v111 5% lightness\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "1e2a1a5a-7724-459a-9a1e-69ab0f421c3b", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from numpy import arctan2, degrees\n", + "\n", + "fig, ax = plt.subplots(1, 1, figsize=(8, 6))\n", + "\n", + "for h_str in h_L_points_Cstar:\n", + " if h_str not in accent_h_map:\n", + " continue\n", + " ax.fill_between(L_points, h_L_points_Cstar[h_str], alpha=0.2, color='grey', label=h_str)\n", + "\n", + " x, y = L_points, h_L_points_Cstar[h_str]\n", + " n = int(0.5*len(x))\n", + " ax.text(x[n], y[n]-0.01, h_str, rotation=10, va='center', ha='left')\n", + " \n", + "ax.set_xlabel(\"Lightness (%)\")\n", + "ax.set_xticks([L_points[0], 45, 50, 55, 60, 65, 70, L_points[-1]])\n", + "plt.suptitle(\"$C^*$ curves (v1.2.0)\")\n", + "fig.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "d137161e-1628-4789-b6ff-b82925b989e5", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from numpy import arctan2, degrees\n", + "\n", + "fig, ax = plt.subplots(1, 1, figsize=(8, 6))\n", + "\n", + "for h_str in h_L_points_Cstar:\n", + " if h_str not in accent_h_map:\n", + " continue\n", + " ax.fill_between(v111_L_space, v111_hC_points[h_str], alpha=0.2, color='grey', label=h_str)\n", + "\n", + " x, y = v111_L_space, v111_hC_points[h_str]\n", + " n = int(0.46*len(x))\n", + " ax.text(x[n], y[n]-0.005, h_str, rotation=30, va='center', ha='left')\n", + " \n", + "ax.set_xlabel(\"Lightness (%)\")\n", + "ax.set_xticks([L_points[0], 45, 50, 55, 60, 65, 70, L_points[-1]])\n", + "plt.suptitle(\"$C^*$ curves (v1.1.1)\")\n", + "fig.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "d72e7f0b-a1a4-46f1-84fb-752229afafb5", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(1, 1, figsize=(8, 6))\n", + "\n", + "for h_str in h_L_points_Cstar:\n", + " if h_str not in accent_h_map:\n", + " continue\n", + " ax.fill_between(L_points, h_L_points_Cstar[h_str], alpha=0.2, color=h_str)\n", + " \n", + " \n", + "ax.set_xlabel(\"Lightness (%)\")\n", + "ax.set_xticks([L_points[0], 45, 50, 55, 60, 65, 70, L_points[-1]])\n", + "ax.set_xlim(45, 70)\n", + "plt.suptitle(\"$C^*$ curves -- mid-range close-up (v1.2.0)\")\n", + "fig.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "ef0dd0d9-a267-494f-b9c6-90d9ab0e6564", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[TOML] written\n", + "[JSON] written\n" + ] + } + ], + "source": [ + "# write files -- QBR = \"quadratic bezier rational\"\n", + "PALETTE_DIR = \"palettes\"\n", + "\n", + "toml_content = '\\n'.join(toml_lines)\n", + "with Path(PALETTE_DIR, 'monobiome-vQBRsn-130.toml').open('w') as f:\n", + " f.write(toml_content)\n", + "print(\"[TOML] written\")\n", + " \n", + "with Path(PALETTE_DIR, 'monobiome-vQBRsn-130-oklch.json').open('w') as f:\n", + " json.dump(oklch_hL_dict, f)\n", + "print(\"[JSON] written\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "10295cea-39e1-421d-b523-2eda615b0abd", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a76b88f7-cf16-445a-83b1-fbebef23537c", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "monobiome", + "language": "python", + "name": "monobiome" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/palettes/monobiome-vQBRsn-130-oklch.json b/notebooks/palettes/monobiome-vQBRsn-130-oklch.json new file mode 100644 index 0000000..a60b710 --- /dev/null +++ b/notebooks/palettes/monobiome-vQBRsn-130-oklch.json @@ -0,0 +1 @@ +{"alpine": {"10": "oklch(10.0% 0.0000 0.0)", "11": "oklch(11.0% 0.0000 0.0)", "12": "oklch(12.0% 0.0000 0.0)", "13": "oklch(13.0% 0.0000 0.0)", "14": "oklch(14.0% 0.0000 0.0)", "15": "oklch(15.0% 0.0000 0.0)", "16": "oklch(16.0% 0.0000 0.0)", "17": "oklch(17.0% 0.0000 0.0)", "18": "oklch(18.0% 0.0000 0.0)", "19": "oklch(19.0% 0.0000 0.0)", "20": "oklch(20.0% 0.0000 0.0)", "21": "oklch(21.0% 0.0000 0.0)", "22": "oklch(22.0% 0.0000 0.0)", "23": "oklch(23.0% 0.0000 0.0)", "24": "oklch(24.0% 0.0000 0.0)", "25": "oklch(25.0% 0.0000 0.0)", "26": "oklch(26.0% 0.0000 0.0)", "27": "oklch(27.0% 0.0000 0.0)", "28": "oklch(28.0% 0.0000 0.0)", "29": "oklch(29.0% 0.0000 0.0)", "30": "oklch(30.0% 0.0000 0.0)", "31": "oklch(31.0% 0.0000 0.0)", "32": "oklch(32.0% 0.0000 0.0)", "33": "oklch(33.0% 0.0000 0.0)", "34": "oklch(34.0% 0.0000 0.0)", "35": "oklch(35.0% 0.0000 0.0)", "36": "oklch(36.0% 0.0000 0.0)", "37": "oklch(37.0% 0.0000 0.0)", "38": "oklch(38.0% 0.0000 0.0)", "39": "oklch(39.0% 0.0000 0.0)", "40": "oklch(40.0% 0.0000 0.0)", "41": "oklch(41.0% 0.0000 0.0)", "42": "oklch(42.0% 0.0000 0.0)", "43": "oklch(43.0% 0.0000 0.0)", "44": "oklch(44.0% 0.0000 0.0)", "45": "oklch(45.0% 0.0000 0.0)", "46": "oklch(46.0% 0.0000 0.0)", "47": "oklch(47.0% 0.0000 0.0)", "48": "oklch(48.0% 0.0000 0.0)", "49": "oklch(49.0% 0.0000 0.0)", "50": "oklch(50.0% 0.0000 0.0)", "51": "oklch(51.0% 0.0000 0.0)", "52": "oklch(52.0% 0.0000 0.0)", "53": "oklch(53.0% 0.0000 0.0)", "54": "oklch(54.0% 0.0000 0.0)", "55": "oklch(55.0% 0.0000 0.0)", "56": "oklch(56.0% 0.0000 0.0)", "57": "oklch(57.0% 0.0000 0.0)", "58": "oklch(58.0% 0.0000 0.0)", "59": "oklch(59.0% 0.0000 0.0)", "60": "oklch(60.0% 0.0000 0.0)", "61": "oklch(61.0% 0.0000 0.0)", "62": "oklch(62.0% 0.0000 0.0)", "63": "oklch(63.0% 0.0000 0.0)", "64": "oklch(64.0% 0.0000 0.0)", "65": "oklch(65.0% 0.0000 0.0)", "66": "oklch(66.0% 0.0000 0.0)", "67": "oklch(67.0% 0.0000 0.0)", "68": "oklch(68.0% 0.0000 0.0)", "69": "oklch(69.0% 0.0000 0.0)", "70": "oklch(70.0% 0.0000 0.0)", "71": "oklch(71.0% 0.0000 0.0)", "72": "oklch(72.0% 0.0000 0.0)", "73": "oklch(73.0% 0.0000 0.0)", "74": "oklch(74.0% 0.0000 0.0)", "75": "oklch(75.0% 0.0000 0.0)", "76": "oklch(76.0% 0.0000 0.0)", "77": "oklch(77.0% 0.0000 0.0)", "78": "oklch(78.0% 0.0000 0.0)", "79": "oklch(79.0% 0.0000 0.0)", "80": "oklch(80.0% 0.0000 0.0)", "81": "oklch(81.0% 0.0000 0.0)", "82": "oklch(82.0% 0.0000 0.0)", "83": "oklch(83.0% 0.0000 0.0)", "84": "oklch(84.0% 0.0000 0.0)", "85": "oklch(85.0% 0.0000 0.0)", "86": "oklch(86.0% 0.0000 0.0)", "87": "oklch(87.0% 0.0000 0.0)", "88": "oklch(88.0% 0.0000 0.0)", "89": "oklch(89.0% 0.0000 0.0)", "90": "oklch(90.0% 0.0000 0.0)", "91": "oklch(91.0% 0.0000 0.0)", "92": "oklch(92.0% 0.0000 0.0)", "93": "oklch(93.0% 0.0000 0.0)", "94": "oklch(94.0% 0.0000 0.0)", "95": "oklch(95.0% 0.0000 0.0)", "96": "oklch(96.0% 0.0000 0.0)", "97": "oklch(97.0% 0.0000 0.0)", "98": "oklch(98.0% 0.0000 0.0)"}, "badlands": {"10": "oklch(10.0% 0.0110 29.0)", "11": "oklch(11.0% 0.0110 29.0)", "12": "oklch(12.0% 0.0110 29.0)", "13": "oklch(13.0% 0.0110 29.0)", "14": "oklch(14.0% 0.0110 29.0)", "15": "oklch(15.0% 0.0110 29.0)", "16": "oklch(16.0% 0.0110 29.0)", "17": "oklch(17.0% 0.0110 29.0)", "18": "oklch(18.0% 0.0110 29.0)", "19": "oklch(19.0% 0.0110 29.0)", "20": "oklch(20.0% 0.0110 29.0)", "21": "oklch(21.0% 0.0110 29.0)", "22": "oklch(22.0% 0.0110 29.0)", "23": "oklch(23.0% 0.0110 29.0)", "24": "oklch(24.0% 0.0110 29.0)", "25": "oklch(25.0% 0.0110 29.0)", "26": "oklch(26.0% 0.0110 29.0)", "27": "oklch(27.0% 0.0110 29.0)", "28": "oklch(28.0% 0.0110 29.0)", "29": "oklch(29.0% 0.0110 29.0)", "30": "oklch(30.0% 0.0110 29.0)", "31": "oklch(31.0% 0.0110 29.0)", "32": "oklch(32.0% 0.0110 29.0)", "33": "oklch(33.0% 0.0110 29.0)", "34": "oklch(34.0% 0.0110 29.0)", "35": "oklch(35.0% 0.0110 29.0)", "36": "oklch(36.0% 0.0110 29.0)", "37": "oklch(37.0% 0.0110 29.0)", "38": "oklch(38.0% 0.0110 29.0)", "39": "oklch(39.0% 0.0110 29.0)", "40": "oklch(40.0% 0.0110 29.0)", "41": "oklch(41.0% 0.0110 29.0)", "42": "oklch(42.0% 0.0110 29.0)", "43": "oklch(43.0% 0.0110 29.0)", "44": "oklch(44.0% 0.0110 29.0)", "45": "oklch(45.0% 0.0110 29.0)", "46": "oklch(46.0% 0.0110 29.0)", "47": "oklch(47.0% 0.0110 29.0)", "48": "oklch(48.0% 0.0110 29.0)", "49": "oklch(49.0% 0.0110 29.0)", "50": "oklch(50.0% 0.0110 29.0)", "51": "oklch(51.0% 0.0110 29.0)", "52": "oklch(52.0% 0.0110 29.0)", "53": "oklch(53.0% 0.0110 29.0)", "54": "oklch(54.0% 0.0110 29.0)", "55": "oklch(55.0% 0.0110 29.0)", "56": "oklch(56.0% 0.0110 29.0)", "57": "oklch(57.0% 0.0110 29.0)", "58": "oklch(58.0% 0.0110 29.0)", "59": "oklch(59.0% 0.0110 29.0)", "60": "oklch(60.0% 0.0110 29.0)", "61": "oklch(61.0% 0.0110 29.0)", "62": "oklch(62.0% 0.0110 29.0)", "63": "oklch(63.0% 0.0110 29.0)", "64": "oklch(64.0% 0.0110 29.0)", "65": "oklch(65.0% 0.0110 29.0)", "66": "oklch(66.0% 0.0110 29.0)", "67": "oklch(67.0% 0.0110 29.0)", "68": "oklch(68.0% 0.0110 29.0)", "69": "oklch(69.0% 0.0110 29.0)", "70": "oklch(70.0% 0.0110 29.0)", "71": "oklch(71.0% 0.0110 29.0)", "72": "oklch(72.0% 0.0110 29.0)", "73": "oklch(73.0% 0.0110 29.0)", "74": "oklch(74.0% 0.0110 29.0)", "75": "oklch(75.0% 0.0110 29.0)", "76": "oklch(76.0% 0.0110 29.0)", "77": "oklch(77.0% 0.0110 29.0)", "78": "oklch(78.0% 0.0110 29.0)", "79": "oklch(79.0% 0.0110 29.0)", "80": "oklch(80.0% 0.0110 29.0)", "81": "oklch(81.0% 0.0110 29.0)", "82": "oklch(82.0% 0.0110 29.0)", "83": "oklch(83.0% 0.0110 29.0)", "84": "oklch(84.0% 0.0110 29.0)", "85": "oklch(85.0% 0.0110 29.0)", "86": "oklch(86.0% 0.0110 29.0)", "87": "oklch(87.0% 0.0110 29.0)", "88": "oklch(88.0% 0.0110 29.0)", "89": "oklch(89.0% 0.0110 29.0)", "90": "oklch(90.0% 0.0110 29.0)", "91": "oklch(91.0% 0.0110 29.0)", "92": "oklch(92.0% 0.0110 29.0)", "93": "oklch(93.0% 0.0110 29.0)", "94": "oklch(94.0% 0.0110 29.0)", "95": "oklch(95.0% 0.0110 29.0)", "96": "oklch(96.0% 0.0110 29.0)", "97": "oklch(97.0% 0.0110 29.0)", "98": "oklch(98.0% 0.0097 29.0)"}, "chaparral": {"10": "oklch(10.0% 0.0110 62.5)", "11": "oklch(11.0% 0.0110 62.5)", "12": "oklch(12.0% 0.0110 62.5)", "13": "oklch(13.0% 0.0110 62.5)", "14": "oklch(14.0% 0.0110 62.5)", "15": "oklch(15.0% 0.0110 62.5)", "16": "oklch(16.0% 0.0110 62.5)", "17": "oklch(17.0% 0.0110 62.5)", "18": "oklch(18.0% 0.0110 62.5)", "19": "oklch(19.0% 0.0110 62.5)", "20": "oklch(20.0% 0.0110 62.5)", "21": "oklch(21.0% 0.0110 62.5)", "22": "oklch(22.0% 0.0110 62.5)", "23": "oklch(23.0% 0.0110 62.5)", "24": "oklch(24.0% 0.0110 62.5)", "25": "oklch(25.0% 0.0110 62.5)", "26": "oklch(26.0% 0.0110 62.5)", "27": "oklch(27.0% 0.0110 62.5)", "28": "oklch(28.0% 0.0110 62.5)", "29": "oklch(29.0% 0.0110 62.5)", "30": "oklch(30.0% 0.0110 62.5)", "31": "oklch(31.0% 0.0110 62.5)", "32": "oklch(32.0% 0.0110 62.5)", "33": "oklch(33.0% 0.0110 62.5)", "34": "oklch(34.0% 0.0110 62.5)", "35": "oklch(35.0% 0.0110 62.5)", "36": "oklch(36.0% 0.0110 62.5)", "37": "oklch(37.0% 0.0110 62.5)", "38": "oklch(38.0% 0.0110 62.5)", "39": "oklch(39.0% 0.0110 62.5)", "40": "oklch(40.0% 0.0110 62.5)", "41": "oklch(41.0% 0.0110 62.5)", "42": "oklch(42.0% 0.0110 62.5)", "43": "oklch(43.0% 0.0110 62.5)", "44": "oklch(44.0% 0.0110 62.5)", "45": "oklch(45.0% 0.0110 62.5)", "46": "oklch(46.0% 0.0110 62.5)", "47": "oklch(47.0% 0.0110 62.5)", "48": "oklch(48.0% 0.0110 62.5)", "49": "oklch(49.0% 0.0110 62.5)", "50": "oklch(50.0% 0.0110 62.5)", "51": "oklch(51.0% 0.0110 62.5)", "52": "oklch(52.0% 0.0110 62.5)", "53": "oklch(53.0% 0.0110 62.5)", "54": "oklch(54.0% 0.0110 62.5)", "55": "oklch(55.0% 0.0110 62.5)", "56": "oklch(56.0% 0.0110 62.5)", "57": "oklch(57.0% 0.0110 62.5)", "58": "oklch(58.0% 0.0110 62.5)", "59": "oklch(59.0% 0.0110 62.5)", "60": "oklch(60.0% 0.0110 62.5)", "61": "oklch(61.0% 0.0110 62.5)", "62": "oklch(62.0% 0.0110 62.5)", "63": "oklch(63.0% 0.0110 62.5)", "64": "oklch(64.0% 0.0110 62.5)", "65": "oklch(65.0% 0.0110 62.5)", "66": "oklch(66.0% 0.0110 62.5)", "67": "oklch(67.0% 0.0110 62.5)", "68": "oklch(68.0% 0.0110 62.5)", "69": "oklch(69.0% 0.0110 62.5)", "70": "oklch(70.0% 0.0110 62.5)", "71": "oklch(71.0% 0.0110 62.5)", "72": "oklch(72.0% 0.0110 62.5)", "73": "oklch(73.0% 0.0110 62.5)", "74": "oklch(74.0% 0.0110 62.5)", "75": "oklch(75.0% 0.0110 62.5)", "76": "oklch(76.0% 0.0110 62.5)", "77": "oklch(77.0% 0.0110 62.5)", "78": "oklch(78.0% 0.0110 62.5)", "79": "oklch(79.0% 0.0110 62.5)", "80": "oklch(80.0% 0.0110 62.5)", "81": "oklch(81.0% 0.0110 62.5)", "82": "oklch(82.0% 0.0110 62.5)", "83": "oklch(83.0% 0.0110 62.5)", "84": "oklch(84.0% 0.0110 62.5)", "85": "oklch(85.0% 0.0110 62.5)", "86": "oklch(86.0% 0.0110 62.5)", "87": "oklch(87.0% 0.0110 62.5)", "88": "oklch(88.0% 0.0110 62.5)", "89": "oklch(89.0% 0.0110 62.5)", "90": "oklch(90.0% 0.0110 62.5)", "91": "oklch(91.0% 0.0110 62.5)", "92": "oklch(92.0% 0.0110 62.5)", "93": "oklch(93.0% 0.0110 62.5)", "94": "oklch(94.0% 0.0110 62.5)", "95": "oklch(95.0% 0.0110 62.5)", "96": "oklch(96.0% 0.0110 62.5)", "97": "oklch(97.0% 0.0110 62.5)", "98": "oklch(98.0% 0.0110 62.5)"}, "savanna": {"10": "oklch(10.0% 0.0110 104.0)", "11": "oklch(11.0% 0.0110 104.0)", "12": "oklch(12.0% 0.0110 104.0)", "13": "oklch(13.0% 0.0110 104.0)", "14": "oklch(14.0% 0.0110 104.0)", "15": "oklch(15.0% 0.0110 104.0)", "16": "oklch(16.0% 0.0110 104.0)", "17": "oklch(17.0% 0.0110 104.0)", "18": "oklch(18.0% 0.0110 104.0)", "19": "oklch(19.0% 0.0110 104.0)", "20": "oklch(20.0% 0.0110 104.0)", "21": "oklch(21.0% 0.0110 104.0)", "22": "oklch(22.0% 0.0110 104.0)", "23": "oklch(23.0% 0.0110 104.0)", "24": "oklch(24.0% 0.0110 104.0)", "25": "oklch(25.0% 0.0110 104.0)", "26": "oklch(26.0% 0.0110 104.0)", "27": "oklch(27.0% 0.0110 104.0)", "28": "oklch(28.0% 0.0110 104.0)", "29": "oklch(29.0% 0.0110 104.0)", "30": "oklch(30.0% 0.0110 104.0)", "31": "oklch(31.0% 0.0110 104.0)", "32": "oklch(32.0% 0.0110 104.0)", "33": "oklch(33.0% 0.0110 104.0)", "34": "oklch(34.0% 0.0110 104.0)", "35": "oklch(35.0% 0.0110 104.0)", "36": "oklch(36.0% 0.0110 104.0)", "37": "oklch(37.0% 0.0110 104.0)", "38": "oklch(38.0% 0.0110 104.0)", "39": "oklch(39.0% 0.0110 104.0)", "40": "oklch(40.0% 0.0110 104.0)", "41": "oklch(41.0% 0.0110 104.0)", "42": "oklch(42.0% 0.0110 104.0)", "43": "oklch(43.0% 0.0110 104.0)", "44": "oklch(44.0% 0.0110 104.0)", "45": "oklch(45.0% 0.0110 104.0)", "46": "oklch(46.0% 0.0110 104.0)", "47": "oklch(47.0% 0.0110 104.0)", "48": "oklch(48.0% 0.0110 104.0)", "49": "oklch(49.0% 0.0110 104.0)", "50": "oklch(50.0% 0.0110 104.0)", "51": "oklch(51.0% 0.0110 104.0)", "52": "oklch(52.0% 0.0110 104.0)", "53": "oklch(53.0% 0.0110 104.0)", "54": "oklch(54.0% 0.0110 104.0)", "55": "oklch(55.0% 0.0110 104.0)", "56": "oklch(56.0% 0.0110 104.0)", "57": "oklch(57.0% 0.0110 104.0)", "58": "oklch(58.0% 0.0110 104.0)", "59": "oklch(59.0% 0.0110 104.0)", "60": "oklch(60.0% 0.0110 104.0)", "61": "oklch(61.0% 0.0110 104.0)", "62": "oklch(62.0% 0.0110 104.0)", "63": "oklch(63.0% 0.0110 104.0)", "64": "oklch(64.0% 0.0110 104.0)", "65": "oklch(65.0% 0.0110 104.0)", "66": "oklch(66.0% 0.0110 104.0)", "67": "oklch(67.0% 0.0110 104.0)", "68": "oklch(68.0% 0.0110 104.0)", "69": "oklch(69.0% 0.0110 104.0)", "70": "oklch(70.0% 0.0110 104.0)", "71": "oklch(71.0% 0.0110 104.0)", "72": "oklch(72.0% 0.0110 104.0)", "73": "oklch(73.0% 0.0110 104.0)", "74": "oklch(74.0% 0.0110 104.0)", "75": "oklch(75.0% 0.0110 104.0)", "76": "oklch(76.0% 0.0110 104.0)", "77": "oklch(77.0% 0.0110 104.0)", "78": "oklch(78.0% 0.0110 104.0)", "79": "oklch(79.0% 0.0110 104.0)", "80": "oklch(80.0% 0.0110 104.0)", "81": "oklch(81.0% 0.0110 104.0)", "82": "oklch(82.0% 0.0110 104.0)", "83": "oklch(83.0% 0.0110 104.0)", "84": "oklch(84.0% 0.0110 104.0)", "85": "oklch(85.0% 0.0110 104.0)", "86": "oklch(86.0% 0.0110 104.0)", "87": "oklch(87.0% 0.0110 104.0)", "88": "oklch(88.0% 0.0110 104.0)", "89": "oklch(89.0% 0.0110 104.0)", "90": "oklch(90.0% 0.0110 104.0)", "91": "oklch(91.0% 0.0110 104.0)", "92": "oklch(92.0% 0.0110 104.0)", "93": "oklch(93.0% 0.0110 104.0)", "94": "oklch(94.0% 0.0110 104.0)", "95": "oklch(95.0% 0.0110 104.0)", "96": "oklch(96.0% 0.0110 104.0)", "97": "oklch(97.0% 0.0110 104.0)", "98": "oklch(98.0% 0.0110 104.0)"}, "grassland": {"10": "oklch(10.0% 0.0110 148.0)", "11": "oklch(11.0% 0.0110 148.0)", "12": "oklch(12.0% 0.0110 148.0)", "13": "oklch(13.0% 0.0110 148.0)", "14": "oklch(14.0% 0.0110 148.0)", "15": "oklch(15.0% 0.0110 148.0)", "16": "oklch(16.0% 0.0110 148.0)", "17": "oklch(17.0% 0.0110 148.0)", "18": "oklch(18.0% 0.0110 148.0)", "19": "oklch(19.0% 0.0110 148.0)", "20": "oklch(20.0% 0.0110 148.0)", "21": "oklch(21.0% 0.0110 148.0)", "22": "oklch(22.0% 0.0110 148.0)", "23": "oklch(23.0% 0.0110 148.0)", "24": "oklch(24.0% 0.0110 148.0)", "25": "oklch(25.0% 0.0110 148.0)", "26": "oklch(26.0% 0.0110 148.0)", "27": "oklch(27.0% 0.0110 148.0)", "28": "oklch(28.0% 0.0110 148.0)", "29": "oklch(29.0% 0.0110 148.0)", "30": "oklch(30.0% 0.0110 148.0)", "31": "oklch(31.0% 0.0110 148.0)", "32": "oklch(32.0% 0.0110 148.0)", "33": "oklch(33.0% 0.0110 148.0)", "34": "oklch(34.0% 0.0110 148.0)", "35": "oklch(35.0% 0.0110 148.0)", "36": "oklch(36.0% 0.0110 148.0)", "37": "oklch(37.0% 0.0110 148.0)", "38": "oklch(38.0% 0.0110 148.0)", "39": "oklch(39.0% 0.0110 148.0)", "40": "oklch(40.0% 0.0110 148.0)", "41": "oklch(41.0% 0.0110 148.0)", "42": "oklch(42.0% 0.0110 148.0)", "43": "oklch(43.0% 0.0110 148.0)", "44": "oklch(44.0% 0.0110 148.0)", "45": "oklch(45.0% 0.0110 148.0)", "46": "oklch(46.0% 0.0110 148.0)", "47": "oklch(47.0% 0.0110 148.0)", "48": "oklch(48.0% 0.0110 148.0)", "49": "oklch(49.0% 0.0110 148.0)", "50": "oklch(50.0% 0.0110 148.0)", "51": "oklch(51.0% 0.0110 148.0)", "52": "oklch(52.0% 0.0110 148.0)", "53": "oklch(53.0% 0.0110 148.0)", "54": "oklch(54.0% 0.0110 148.0)", "55": "oklch(55.0% 0.0110 148.0)", "56": "oklch(56.0% 0.0110 148.0)", "57": "oklch(57.0% 0.0110 148.0)", "58": "oklch(58.0% 0.0110 148.0)", "59": "oklch(59.0% 0.0110 148.0)", "60": "oklch(60.0% 0.0110 148.0)", "61": "oklch(61.0% 0.0110 148.0)", "62": "oklch(62.0% 0.0110 148.0)", "63": "oklch(63.0% 0.0110 148.0)", "64": "oklch(64.0% 0.0110 148.0)", "65": "oklch(65.0% 0.0110 148.0)", "66": "oklch(66.0% 0.0110 148.0)", "67": "oklch(67.0% 0.0110 148.0)", "68": "oklch(68.0% 0.0110 148.0)", "69": "oklch(69.0% 0.0110 148.0)", "70": "oklch(70.0% 0.0110 148.0)", "71": "oklch(71.0% 0.0110 148.0)", "72": "oklch(72.0% 0.0110 148.0)", "73": "oklch(73.0% 0.0110 148.0)", "74": "oklch(74.0% 0.0110 148.0)", "75": "oklch(75.0% 0.0110 148.0)", "76": "oklch(76.0% 0.0110 148.0)", "77": "oklch(77.0% 0.0110 148.0)", "78": "oklch(78.0% 0.0110 148.0)", "79": "oklch(79.0% 0.0110 148.0)", "80": "oklch(80.0% 0.0110 148.0)", "81": "oklch(81.0% 0.0110 148.0)", "82": "oklch(82.0% 0.0110 148.0)", "83": "oklch(83.0% 0.0110 148.0)", "84": "oklch(84.0% 0.0110 148.0)", "85": "oklch(85.0% 0.0110 148.0)", "86": "oklch(86.0% 0.0110 148.0)", "87": "oklch(87.0% 0.0110 148.0)", "88": "oklch(88.0% 0.0110 148.0)", "89": "oklch(89.0% 0.0110 148.0)", "90": "oklch(90.0% 0.0110 148.0)", "91": "oklch(91.0% 0.0110 148.0)", "92": "oklch(92.0% 0.0110 148.0)", "93": "oklch(93.0% 0.0110 148.0)", "94": "oklch(94.0% 0.0110 148.0)", "95": "oklch(95.0% 0.0110 148.0)", "96": "oklch(96.0% 0.0110 148.0)", "97": "oklch(97.0% 0.0110 148.0)", "98": "oklch(98.0% 0.0110 148.0)"}, "tundra": {"10": "oklch(10.0% 0.0110 262.0)", "11": "oklch(11.0% 0.0110 262.0)", "12": "oklch(12.0% 0.0110 262.0)", "13": "oklch(13.0% 0.0110 262.0)", "14": "oklch(14.0% 0.0110 262.0)", "15": "oklch(15.0% 0.0110 262.0)", "16": "oklch(16.0% 0.0110 262.0)", "17": "oklch(17.0% 0.0110 262.0)", "18": "oklch(18.0% 0.0110 262.0)", "19": "oklch(19.0% 0.0110 262.0)", "20": "oklch(20.0% 0.0110 262.0)", "21": "oklch(21.0% 0.0110 262.0)", "22": "oklch(22.0% 0.0110 262.0)", "23": "oklch(23.0% 0.0110 262.0)", "24": "oklch(24.0% 0.0110 262.0)", "25": "oklch(25.0% 0.0110 262.0)", "26": "oklch(26.0% 0.0110 262.0)", "27": "oklch(27.0% 0.0110 262.0)", "28": "oklch(28.0% 0.0110 262.0)", "29": "oklch(29.0% 0.0110 262.0)", "30": "oklch(30.0% 0.0110 262.0)", "31": "oklch(31.0% 0.0110 262.0)", "32": "oklch(32.0% 0.0110 262.0)", "33": "oklch(33.0% 0.0110 262.0)", "34": "oklch(34.0% 0.0110 262.0)", "35": "oklch(35.0% 0.0110 262.0)", "36": "oklch(36.0% 0.0110 262.0)", "37": "oklch(37.0% 0.0110 262.0)", "38": "oklch(38.0% 0.0110 262.0)", "39": "oklch(39.0% 0.0110 262.0)", "40": "oklch(40.0% 0.0110 262.0)", "41": "oklch(41.0% 0.0110 262.0)", "42": "oklch(42.0% 0.0110 262.0)", "43": "oklch(43.0% 0.0110 262.0)", "44": "oklch(44.0% 0.0110 262.0)", "45": "oklch(45.0% 0.0110 262.0)", "46": "oklch(46.0% 0.0110 262.0)", "47": "oklch(47.0% 0.0110 262.0)", "48": "oklch(48.0% 0.0110 262.0)", "49": "oklch(49.0% 0.0110 262.0)", "50": "oklch(50.0% 0.0110 262.0)", "51": "oklch(51.0% 0.0110 262.0)", "52": "oklch(52.0% 0.0110 262.0)", "53": "oklch(53.0% 0.0110 262.0)", "54": "oklch(54.0% 0.0110 262.0)", "55": "oklch(55.0% 0.0110 262.0)", "56": "oklch(56.0% 0.0110 262.0)", "57": "oklch(57.0% 0.0110 262.0)", "58": "oklch(58.0% 0.0110 262.0)", "59": "oklch(59.0% 0.0110 262.0)", "60": "oklch(60.0% 0.0110 262.0)", "61": "oklch(61.0% 0.0110 262.0)", "62": "oklch(62.0% 0.0110 262.0)", "63": "oklch(63.0% 0.0110 262.0)", "64": "oklch(64.0% 0.0110 262.0)", "65": "oklch(65.0% 0.0110 262.0)", "66": "oklch(66.0% 0.0110 262.0)", "67": "oklch(67.0% 0.0110 262.0)", "68": "oklch(68.0% 0.0110 262.0)", "69": "oklch(69.0% 0.0110 262.0)", "70": "oklch(70.0% 0.0110 262.0)", "71": "oklch(71.0% 0.0110 262.0)", "72": "oklch(72.0% 0.0110 262.0)", "73": "oklch(73.0% 0.0110 262.0)", "74": "oklch(74.0% 0.0110 262.0)", "75": "oklch(75.0% 0.0110 262.0)", "76": "oklch(76.0% 0.0110 262.0)", "77": "oklch(77.0% 0.0110 262.0)", "78": "oklch(78.0% 0.0110 262.0)", "79": "oklch(79.0% 0.0110 262.0)", "80": "oklch(80.0% 0.0110 262.0)", "81": "oklch(81.0% 0.0110 262.0)", "82": "oklch(82.0% 0.0110 262.0)", "83": "oklch(83.0% 0.0110 262.0)", "84": "oklch(84.0% 0.0110 262.0)", "85": "oklch(85.0% 0.0110 262.0)", "86": "oklch(86.0% 0.0110 262.0)", "87": "oklch(87.0% 0.0110 262.0)", "88": "oklch(88.0% 0.0110 262.0)", "89": "oklch(89.0% 0.0110 262.0)", "90": "oklch(90.0% 0.0110 262.0)", "91": "oklch(91.0% 0.0110 262.0)", "92": "oklch(92.0% 0.0110 262.0)", "93": "oklch(93.0% 0.0110 262.0)", "94": "oklch(94.0% 0.0110 262.0)", "95": "oklch(95.0% 0.0110 262.0)", "96": "oklch(96.0% 0.0110 262.0)", "97": "oklch(97.0% 0.0110 262.0)", "98": "oklch(98.0% 0.0094 262.0)"}, "red": {"10": "oklch(10.0% 0.0406 29.0)", "11": "oklch(11.0% 0.0446 29.0)", "12": "oklch(12.0% 0.0486 29.0)", "13": "oklch(13.0% 0.0526 29.0)", "14": "oklch(14.0% 0.0566 29.0)", "15": "oklch(15.0% 0.0606 29.0)", "16": "oklch(16.0% 0.0645 29.0)", "17": "oklch(17.0% 0.0685 29.0)", "18": "oklch(18.0% 0.0724 29.0)", "19": "oklch(19.0% 0.0763 29.0)", "20": "oklch(20.0% 0.0802 29.0)", "21": "oklch(21.0% 0.0841 29.0)", "22": "oklch(22.0% 0.0879 29.0)", "23": "oklch(23.0% 0.0918 29.0)", "24": "oklch(24.0% 0.0956 29.0)", "25": "oklch(25.0% 0.0994 29.0)", "26": "oklch(26.0% 0.1031 29.0)", "27": "oklch(27.0% 0.1068 29.0)", "28": "oklch(28.0% 0.1106 29.0)", "29": "oklch(29.0% 0.1142 29.0)", "30": "oklch(30.0% 0.1179 29.0)", "31": "oklch(31.0% 0.1215 29.0)", "32": "oklch(32.0% 0.1250 29.0)", "33": "oklch(33.0% 0.1286 29.0)", "34": "oklch(34.0% 0.1320 29.0)", "35": "oklch(35.0% 0.1355 29.0)", "36": "oklch(36.0% 0.1389 29.0)", "37": "oklch(37.0% 0.1422 29.0)", "38": "oklch(38.0% 0.1454 29.0)", "39": "oklch(39.0% 0.1486 29.0)", "40": "oklch(40.0% 0.1517 29.0)", "41": "oklch(41.0% 0.1548 29.0)", "42": "oklch(42.0% 0.1577 29.0)", "43": "oklch(43.0% 0.1606 29.0)", "44": "oklch(44.0% 0.1634 29.0)", "45": "oklch(45.0% 0.1660 29.0)", "46": "oklch(46.0% 0.1685 29.0)", "47": "oklch(47.0% 0.1709 29.0)", "48": "oklch(48.0% 0.1732 29.0)", "49": "oklch(49.0% 0.1752 29.0)", "50": "oklch(50.0% 0.1772 29.0)", "51": "oklch(51.0% 0.1789 29.0)", "52": "oklch(52.0% 0.1804 29.0)", "53": "oklch(53.0% 0.1817 29.0)", "54": "oklch(54.0% 0.1828 29.0)", "55": "oklch(55.0% 0.1836 29.0)", "56": "oklch(56.0% 0.1842 29.0)", "57": "oklch(57.0% 0.1845 29.0)", "58": "oklch(58.0% 0.1845 29.0)", "59": "oklch(59.0% 0.1842 29.0)", "60": "oklch(60.0% 0.1836 29.0)", "61": "oklch(61.0% 0.1826 29.0)", "62": "oklch(62.0% 0.1814 29.0)", "63": "oklch(63.0% 0.1799 29.0)", "64": "oklch(64.0% 0.1780 29.0)", "65": "oklch(65.0% 0.1758 29.0)", "66": "oklch(66.0% 0.1734 29.0)", "67": "oklch(67.0% 0.1706 29.0)", "68": "oklch(68.0% 0.1676 29.0)", "69": "oklch(69.0% 0.1643 29.0)", "70": "oklch(70.0% 0.1608 29.0)", "71": "oklch(71.0% 0.1571 29.0)", "72": "oklch(72.0% 0.1531 29.0)", "73": "oklch(73.0% 0.1490 29.0)", "74": "oklch(74.0% 0.1447 29.0)", "75": "oklch(75.0% 0.1402 29.0)", "76": "oklch(76.0% 0.1355 29.0)", "77": "oklch(77.0% 0.1308 29.0)", "78": "oklch(78.0% 0.1259 29.0)", "79": "oklch(79.0% 0.1208 29.0)", "80": "oklch(80.0% 0.1147 29.0)", "81": "oklch(81.0% 0.1079 29.0)", "82": "oklch(82.0% 0.1012 29.0)", "83": "oklch(83.0% 0.0947 29.0)", "84": "oklch(84.0% 0.0883 29.0)", "85": "oklch(85.0% 0.0820 29.0)", "86": "oklch(86.0% 0.0758 29.0)", "87": "oklch(87.0% 0.0697 29.0)", "88": "oklch(88.0% 0.0638 29.0)", "89": "oklch(89.0% 0.0579 29.0)", "90": "oklch(90.0% 0.0522 29.0)", "91": "oklch(91.0% 0.0466 29.0)", "92": "oklch(92.0% 0.0410 29.0)", "93": "oklch(93.0% 0.0356 29.0)", "94": "oklch(94.0% 0.0302 29.0)", "95": "oklch(95.0% 0.0250 29.0)", "96": "oklch(96.0% 0.0198 29.0)", "97": "oklch(97.0% 0.0147 29.0)", "98": "oklch(98.0% 0.0097 29.0)"}, "orange": {"10": "oklch(10.0% 0.0208 62.5)", "11": "oklch(11.0% 0.0229 62.5)", "12": "oklch(12.0% 0.0250 62.5)", "13": "oklch(13.0% 0.0271 62.5)", "14": "oklch(14.0% 0.0291 62.5)", "15": "oklch(15.0% 0.0312 62.5)", "16": "oklch(16.0% 0.0332 62.5)", "17": "oklch(17.0% 0.0353 62.5)", "18": "oklch(18.0% 0.0374 62.5)", "19": "oklch(19.0% 0.0394 62.5)", "20": "oklch(20.0% 0.0415 62.5)", "21": "oklch(21.0% 0.0435 62.5)", "22": "oklch(22.0% 0.0455 62.5)", "23": "oklch(23.0% 0.0476 62.5)", "24": "oklch(24.0% 0.0496 62.5)", "25": "oklch(25.0% 0.0516 62.5)", "26": "oklch(26.0% 0.0536 62.5)", "27": "oklch(27.0% 0.0557 62.5)", "28": "oklch(28.0% 0.0577 62.5)", "29": "oklch(29.0% 0.0597 62.5)", "30": "oklch(30.0% 0.0617 62.5)", "31": "oklch(31.0% 0.0637 62.5)", "32": "oklch(32.0% 0.0657 62.5)", "33": "oklch(33.0% 0.0676 62.5)", "34": "oklch(34.0% 0.0696 62.5)", "35": "oklch(35.0% 0.0716 62.5)", "36": "oklch(36.0% 0.0735 62.5)", "37": "oklch(37.0% 0.0754 62.5)", "38": "oklch(38.0% 0.0774 62.5)", "39": "oklch(39.0% 0.0793 62.5)", "40": "oklch(40.0% 0.0812 62.5)", "41": "oklch(41.0% 0.0831 62.5)", "42": "oklch(42.0% 0.0850 62.5)", "43": "oklch(43.0% 0.0868 62.5)", "44": "oklch(44.0% 0.0886 62.5)", "45": "oklch(45.0% 0.0905 62.5)", "46": "oklch(46.0% 0.0923 62.5)", "47": "oklch(47.0% 0.0940 62.5)", "48": "oklch(48.0% 0.0958 62.5)", "49": "oklch(49.0% 0.0975 62.5)", "50": "oklch(50.0% 0.0992 62.5)", "51": "oklch(51.0% 0.1008 62.5)", "52": "oklch(52.0% 0.1025 62.5)", "53": "oklch(53.0% 0.1040 62.5)", "54": "oklch(54.0% 0.1055 62.5)", "55": "oklch(55.0% 0.1070 62.5)", "56": "oklch(56.0% 0.1084 62.5)", "57": "oklch(57.0% 0.1097 62.5)", "58": "oklch(58.0% 0.1110 62.5)", "59": "oklch(59.0% 0.1122 62.5)", "60": "oklch(60.0% 0.1132 62.5)", "61": "oklch(61.0% 0.1142 62.5)", "62": "oklch(62.0% 0.1150 62.5)", "63": "oklch(63.0% 0.1157 62.5)", "64": "oklch(64.0% 0.1163 62.5)", "65": "oklch(65.0% 0.1166 62.5)", "66": "oklch(66.0% 0.1168 62.5)", "67": "oklch(67.0% 0.1167 62.5)", "68": "oklch(68.0% 0.1164 62.5)", "69": "oklch(69.0% 0.1159 62.5)", "70": "oklch(70.0% 0.1150 62.5)", "71": "oklch(71.0% 0.1139 62.5)", "72": "oklch(72.0% 0.1125 62.5)", "73": "oklch(73.0% 0.1107 62.5)", "74": "oklch(74.0% 0.1087 62.5)", "75": "oklch(75.0% 0.1064 62.5)", "76": "oklch(76.0% 0.1038 62.5)", "77": "oklch(77.0% 0.1009 62.5)", "78": "oklch(78.0% 0.0978 62.5)", "79": "oklch(79.0% 0.0945 62.5)", "80": "oklch(80.0% 0.0910 62.5)", "81": "oklch(81.0% 0.0873 62.5)", "82": "oklch(82.0% 0.0834 62.5)", "83": "oklch(83.0% 0.0794 62.5)", "84": "oklch(84.0% 0.0753 62.5)", "85": "oklch(85.0% 0.0711 62.5)", "86": "oklch(86.0% 0.0667 62.5)", "87": "oklch(87.0% 0.0623 62.5)", "88": "oklch(88.0% 0.0578 62.5)", "89": "oklch(89.0% 0.0532 62.5)", "90": "oklch(90.0% 0.0486 62.5)", "91": "oklch(91.0% 0.0439 62.5)", "92": "oklch(92.0% 0.0392 62.5)", "93": "oklch(93.0% 0.0344 62.5)", "94": "oklch(94.0% 0.0296 62.5)", "95": "oklch(95.0% 0.0247 62.5)", "96": "oklch(96.0% 0.0198 62.5)", "97": "oklch(97.0% 0.0149 62.5)", "98": "oklch(98.0% 0.0100 62.5)"}, "yellow": {"10": "oklch(10.0% 0.0143 104.0)", "11": "oklch(11.0% 0.0157 104.0)", "12": "oklch(12.0% 0.0171 104.0)", "13": "oklch(13.0% 0.0185 104.0)", "14": "oklch(14.0% 0.0199 104.0)", "15": "oklch(15.0% 0.0214 104.0)", "16": "oklch(16.0% 0.0228 104.0)", "17": "oklch(17.0% 0.0242 104.0)", "18": "oklch(18.0% 0.0256 104.0)", "19": "oklch(19.0% 0.0270 104.0)", "20": "oklch(20.0% 0.0284 104.0)", "21": "oklch(21.0% 0.0298 104.0)", "22": "oklch(22.0% 0.0312 104.0)", "23": "oklch(23.0% 0.0326 104.0)", "24": "oklch(24.0% 0.0340 104.0)", "25": "oklch(25.0% 0.0354 104.0)", "26": "oklch(26.0% 0.0368 104.0)", "27": "oklch(27.0% 0.0382 104.0)", "28": "oklch(28.0% 0.0396 104.0)", "29": "oklch(29.0% 0.0410 104.0)", "30": "oklch(30.0% 0.0424 104.0)", "31": "oklch(31.0% 0.0437 104.0)", "32": "oklch(32.0% 0.0451 104.0)", "33": "oklch(33.0% 0.0465 104.0)", "34": "oklch(34.0% 0.0478 104.0)", "35": "oklch(35.0% 0.0492 104.0)", "36": "oklch(36.0% 0.0506 104.0)", "37": "oklch(37.0% 0.0519 104.0)", "38": "oklch(38.0% 0.0533 104.0)", "39": "oklch(39.0% 0.0546 104.0)", "40": "oklch(40.0% 0.0559 104.0)", "41": "oklch(41.0% 0.0573 104.0)", "42": "oklch(42.0% 0.0586 104.0)", "43": "oklch(43.0% 0.0599 104.0)", "44": "oklch(44.0% 0.0612 104.0)", "45": "oklch(45.0% 0.0625 104.0)", "46": "oklch(46.0% 0.0638 104.0)", "47": "oklch(47.0% 0.0651 104.0)", "48": "oklch(48.0% 0.0663 104.0)", "49": "oklch(49.0% 0.0676 104.0)", "50": "oklch(50.0% 0.0688 104.0)", "51": "oklch(51.0% 0.0700 104.0)", "52": "oklch(52.0% 0.0713 104.0)", "53": "oklch(53.0% 0.0724 104.0)", "54": "oklch(54.0% 0.0736 104.0)", "55": "oklch(55.0% 0.0748 104.0)", "56": "oklch(56.0% 0.0759 104.0)", "57": "oklch(57.0% 0.0770 104.0)", "58": "oklch(58.0% 0.0781 104.0)", "59": "oklch(59.0% 0.0791 104.0)", "60": "oklch(60.0% 0.0801 104.0)", "61": "oklch(61.0% 0.0811 104.0)", "62": "oklch(62.0% 0.0820 104.0)", "63": "oklch(63.0% 0.0828 104.0)", "64": "oklch(64.0% 0.0836 104.0)", "65": "oklch(65.0% 0.0844 104.0)", "66": "oklch(66.0% 0.0850 104.0)", "67": "oklch(67.0% 0.0856 104.0)", "68": "oklch(68.0% 0.0861 104.0)", "69": "oklch(69.0% 0.0864 104.0)", "70": "oklch(70.0% 0.0866 104.0)", "71": "oklch(71.0% 0.0867 104.0)", "72": "oklch(72.0% 0.0866 104.0)", "73": "oklch(73.0% 0.0864 104.0)", "74": "oklch(74.0% 0.0859 104.0)", "75": "oklch(75.0% 0.0852 104.0)", "76": "oklch(76.0% 0.0842 104.0)", "77": "oklch(77.0% 0.0830 104.0)", "78": "oklch(78.0% 0.0814 104.0)", "79": "oklch(79.0% 0.0796 104.0)", "80": "oklch(80.0% 0.0776 104.0)", "81": "oklch(81.0% 0.0752 104.0)", "82": "oklch(82.0% 0.0726 104.0)", "83": "oklch(83.0% 0.0697 104.0)", "84": "oklch(84.0% 0.0666 104.0)", "85": "oklch(85.0% 0.0633 104.0)", "86": "oklch(86.0% 0.0598 104.0)", "87": "oklch(87.0% 0.0562 104.0)", "88": "oklch(88.0% 0.0524 104.0)", "89": "oklch(89.0% 0.0484 104.0)", "90": "oklch(90.0% 0.0444 104.0)", "91": "oklch(91.0% 0.0402 104.0)", "92": "oklch(92.0% 0.0360 104.0)", "93": "oklch(93.0% 0.0317 104.0)", "94": "oklch(94.0% 0.0273 104.0)", "95": "oklch(95.0% 0.0229 104.0)", "96": "oklch(96.0% 0.0184 104.0)", "97": "oklch(97.0% 0.0138 104.0)", "98": "oklch(98.0% 0.0093 104.0)"}, "green": {"10": "oklch(10.0% 0.0170 148.0)", "11": "oklch(11.0% 0.0187 148.0)", "12": "oklch(12.0% 0.0204 148.0)", "13": "oklch(13.0% 0.0221 148.0)", "14": "oklch(14.0% 0.0237 148.0)", "15": "oklch(15.0% 0.0254 148.0)", "16": "oklch(16.0% 0.0271 148.0)", "17": "oklch(17.0% 0.0288 148.0)", "18": "oklch(18.0% 0.0305 148.0)", "19": "oklch(19.0% 0.0321 148.0)", "20": "oklch(20.0% 0.0338 148.0)", "21": "oklch(21.0% 0.0355 148.0)", "22": "oklch(22.0% 0.0371 148.0)", "23": "oklch(23.0% 0.0388 148.0)", "24": "oklch(24.0% 0.0405 148.0)", "25": "oklch(25.0% 0.0421 148.0)", "26": "oklch(26.0% 0.0438 148.0)", "27": "oklch(27.0% 0.0454 148.0)", "28": "oklch(28.0% 0.0471 148.0)", "29": "oklch(29.0% 0.0487 148.0)", "30": "oklch(30.0% 0.0504 148.0)", "31": "oklch(31.0% 0.0520 148.0)", "32": "oklch(32.0% 0.0536 148.0)", "33": "oklch(33.0% 0.0553 148.0)", "34": "oklch(34.0% 0.0569 148.0)", "35": "oklch(35.0% 0.0585 148.0)", "36": "oklch(36.0% 0.0601 148.0)", "37": "oklch(37.0% 0.0617 148.0)", "38": "oklch(38.0% 0.0633 148.0)", "39": "oklch(39.0% 0.0649 148.0)", "40": "oklch(40.0% 0.0664 148.0)", "41": "oklch(41.0% 0.0680 148.0)", "42": "oklch(42.0% 0.0696 148.0)", "43": "oklch(43.0% 0.0711 148.0)", "44": "oklch(44.0% 0.0726 148.0)", "45": "oklch(45.0% 0.0742 148.0)", "46": "oklch(46.0% 0.0757 148.0)", "47": "oklch(47.0% 0.0772 148.0)", "48": "oklch(48.0% 0.0786 148.0)", "49": "oklch(49.0% 0.0801 148.0)", "50": "oklch(50.0% 0.0815 148.0)", "51": "oklch(51.0% 0.0830 148.0)", "52": "oklch(52.0% 0.0844 148.0)", "53": "oklch(53.0% 0.0857 148.0)", "54": "oklch(54.0% 0.0871 148.0)", "55": "oklch(55.0% 0.0884 148.0)", "56": "oklch(56.0% 0.0897 148.0)", "57": "oklch(57.0% 0.0909 148.0)", "58": "oklch(58.0% 0.0921 148.0)", "59": "oklch(59.0% 0.0932 148.0)", "60": "oklch(60.0% 0.0943 148.0)", "61": "oklch(61.0% 0.0953 148.0)", "62": "oklch(62.0% 0.0963 148.0)", "63": "oklch(63.0% 0.0971 148.0)", "64": "oklch(64.0% 0.0979 148.0)", "65": "oklch(65.0% 0.0986 148.0)", "66": "oklch(66.0% 0.0991 148.0)", "67": "oklch(67.0% 0.0995 148.0)", "68": "oklch(68.0% 0.0998 148.0)", "69": "oklch(69.0% 0.0999 148.0)", "70": "oklch(70.0% 0.0998 148.0)", "71": "oklch(71.0% 0.0995 148.0)", "72": "oklch(72.0% 0.0989 148.0)", "73": "oklch(73.0% 0.0981 148.0)", "74": "oklch(74.0% 0.0971 148.0)", "75": "oklch(75.0% 0.0957 148.0)", "76": "oklch(76.0% 0.0941 148.0)", "77": "oklch(77.0% 0.0921 148.0)", "78": "oklch(78.0% 0.0899 148.0)", "79": "oklch(79.0% 0.0874 148.0)", "80": "oklch(80.0% 0.0846 148.0)", "81": "oklch(81.0% 0.0816 148.0)", "82": "oklch(82.0% 0.0784 148.0)", "83": "oklch(83.0% 0.0749 148.0)", "84": "oklch(84.0% 0.0713 148.0)", "85": "oklch(85.0% 0.0675 148.0)", "86": "oklch(86.0% 0.0636 148.0)", "87": "oklch(87.0% 0.0595 148.0)", "88": "oklch(88.0% 0.0553 148.0)", "89": "oklch(89.0% 0.0511 148.0)", "90": "oklch(90.0% 0.0467 148.0)", "91": "oklch(91.0% 0.0423 148.0)", "92": "oklch(92.0% 0.0377 148.0)", "93": "oklch(93.0% 0.0332 148.0)", "94": "oklch(94.0% 0.0286 148.0)", "95": "oklch(95.0% 0.0239 148.0)", "96": "oklch(96.0% 0.0192 148.0)", "97": "oklch(97.0% 0.0144 148.0)", "98": "oklch(98.0% 0.0097 148.0)"}, "blue": {"10": "oklch(10.0% 0.0272 262.0)", "11": "oklch(11.0% 0.0299 262.0)", "12": "oklch(12.0% 0.0326 262.0)", "13": "oklch(13.0% 0.0352 262.0)", "14": "oklch(14.0% 0.0379 262.0)", "15": "oklch(15.0% 0.0406 262.0)", "16": "oklch(16.0% 0.0433 262.0)", "17": "oklch(17.0% 0.0459 262.0)", "18": "oklch(18.0% 0.0486 262.0)", "19": "oklch(19.0% 0.0512 262.0)", "20": "oklch(20.0% 0.0538 262.0)", "21": "oklch(21.0% 0.0565 262.0)", "22": "oklch(22.0% 0.0591 262.0)", "23": "oklch(23.0% 0.0617 262.0)", "24": "oklch(24.0% 0.0643 262.0)", "25": "oklch(25.0% 0.0669 262.0)", "26": "oklch(26.0% 0.0695 262.0)", "27": "oklch(27.0% 0.0720 262.0)", "28": "oklch(28.0% 0.0746 262.0)", "29": "oklch(29.0% 0.0771 262.0)", "30": "oklch(30.0% 0.0797 262.0)", "31": "oklch(31.0% 0.0822 262.0)", "32": "oklch(32.0% 0.0847 262.0)", "33": "oklch(33.0% 0.0872 262.0)", "34": "oklch(34.0% 0.0896 262.0)", "35": "oklch(35.0% 0.0921 262.0)", "36": "oklch(36.0% 0.0945 262.0)", "37": "oklch(37.0% 0.0969 262.0)", "38": "oklch(38.0% 0.0993 262.0)", "39": "oklch(39.0% 0.1016 262.0)", "40": "oklch(40.0% 0.1039 262.0)", "41": "oklch(41.0% 0.1062 262.0)", "42": "oklch(42.0% 0.1084 262.0)", "43": "oklch(43.0% 0.1107 262.0)", "44": "oklch(44.0% 0.1128 262.0)", "45": "oklch(45.0% 0.1149 262.0)", "46": "oklch(46.0% 0.1170 262.0)", "47": "oklch(47.0% 0.1190 262.0)", "48": "oklch(48.0% 0.1210 262.0)", "49": "oklch(49.0% 0.1229 262.0)", "50": "oklch(50.0% 0.1247 262.0)", "51": "oklch(51.0% 0.1265 262.0)", "52": "oklch(52.0% 0.1281 262.0)", "53": "oklch(53.0% 0.1297 262.0)", "54": "oklch(54.0% 0.1311 262.0)", "55": "oklch(55.0% 0.1325 262.0)", "56": "oklch(56.0% 0.1337 262.0)", "57": "oklch(57.0% 0.1348 262.0)", "58": "oklch(58.0% 0.1357 262.0)", "59": "oklch(59.0% 0.1364 262.0)", "60": "oklch(60.0% 0.1370 262.0)", "61": "oklch(61.0% 0.1374 262.0)", "62": "oklch(62.0% 0.1375 262.0)", "63": "oklch(63.0% 0.1374 262.0)", "64": "oklch(64.0% 0.1371 262.0)", "65": "oklch(65.0% 0.1366 262.0)", "66": "oklch(66.0% 0.1357 262.0)", "67": "oklch(67.0% 0.1346 262.0)", "68": "oklch(68.0% 0.1332 262.0)", "69": "oklch(69.0% 0.1316 262.0)", "70": "oklch(70.0% 0.1297 262.0)", "71": "oklch(71.0% 0.1275 262.0)", "72": "oklch(72.0% 0.1250 262.0)", "73": "oklch(73.0% 0.1223 262.0)", "74": "oklch(74.0% 0.1194 262.0)", "75": "oklch(75.0% 0.1162 262.0)", "76": "oklch(76.0% 0.1128 262.0)", "77": "oklch(77.0% 0.1093 262.0)", "78": "oklch(78.0% 0.1055 262.0)", "79": "oklch(79.0% 0.1017 262.0)", "80": "oklch(80.0% 0.0976 262.0)", "81": "oklch(81.0% 0.0934 262.0)", "82": "oklch(82.0% 0.0892 262.0)", "83": "oklch(83.0% 0.0845 262.0)", "84": "oklch(84.0% 0.0792 262.0)", "85": "oklch(85.0% 0.0739 262.0)", "86": "oklch(86.0% 0.0687 262.0)", "87": "oklch(87.0% 0.0636 262.0)", "88": "oklch(88.0% 0.0584 262.0)", "89": "oklch(89.0% 0.0534 262.0)", "90": "oklch(90.0% 0.0483 262.0)", "91": "oklch(91.0% 0.0433 262.0)", "92": "oklch(92.0% 0.0384 262.0)", "93": "oklch(93.0% 0.0334 262.0)", "94": "oklch(94.0% 0.0285 262.0)", "95": "oklch(95.0% 0.0237 262.0)", "96": "oklch(96.0% 0.0189 262.0)", "97": "oklch(97.0% 0.0141 262.0)", "98": "oklch(98.0% 0.0094 262.0)"}} \ No newline at end of file diff --git a/notebooks/palettes/monobiome-vQBRsn-130.toml b/notebooks/palettes/monobiome-vQBRsn-130.toml new file mode 100644 index 0000000..8de64a5 --- /dev/null +++ b/notebooks/palettes/monobiome-vQBRsn-130.toml @@ -0,0 +1,1000 @@ +[alpine] +l10 = "#030303" +l11 = "#040404" +l12 = "#060606" +l13 = "#070707" +l14 = "#090909" +l15 = "#0b0b0b" +l16 = "#0d0d0d" +l17 = "#0f0f0f" +l18 = "#121212" +l19 = "#141414" +l20 = "#161616" +l21 = "#181818" +l22 = "#1b1b1b" +l23 = "#1d1d1d" +l24 = "#1f1f1f" +l25 = "#222222" +l26 = "#242424" +l27 = "#262626" +l28 = "#292929" +l29 = "#2b2b2b" +l30 = "#2e2e2e" +l31 = "#303030" +l32 = "#333333" +l33 = "#353535" +l34 = "#383838" +l35 = "#3a3a3a" +l36 = "#3d3d3d" +l37 = "#404040" +l38 = "#424242" +l39 = "#454545" +l40 = "#484848" +l41 = "#4a4a4a" +l42 = "#4d4d4d" +l43 = "#505050" +l44 = "#525252" +l45 = "#555555" +l46 = "#585858" +l47 = "#5b5b5b" +l48 = "#5d5d5d" +l49 = "#606060" +l50 = "#636363" +l51 = "#666666" +l52 = "#696969" +l53 = "#6c6c6c" +l54 = "#6f6f6f" +l55 = "#717171" +l56 = "#747474" +l57 = "#777777" +l58 = "#7a7a7a" +l59 = "#7d7d7d" +l60 = "#808080" +l61 = "#838383" +l62 = "#868686" +l63 = "#898989" +l64 = "#8c8c8c" +l65 = "#8f8f8f" +l66 = "#929292" +l67 = "#959595" +l68 = "#989898" +l69 = "#9b9b9b" +l70 = "#9e9e9e" +l71 = "#a1a1a1" +l72 = "#a4a4a4" +l73 = "#a8a8a8" +l74 = "#ababab" +l75 = "#aeaeae" +l76 = "#b1b1b1" +l77 = "#b4b4b4" +l78 = "#b7b7b7" +l79 = "#bababa" +l80 = "#bebebe" +l81 = "#c1c1c1" +l82 = "#c4c4c4" +l83 = "#c7c7c7" +l84 = "#cacaca" +l85 = "#cecece" +l86 = "#d1d1d1" +l87 = "#d4d4d4" +l88 = "#d7d7d7" +l89 = "#dbdbdb" +l90 = "#dedede" +l91 = "#e1e1e1" +l92 = "#e4e4e4" +l93 = "#e8e8e8" +l94 = "#ebebeb" +l95 = "#eeeeee" +l96 = "#f2f2f2" +l97 = "#f5f5f5" +l98 = "#f8f8f8" + +[badlands] +l10 = "#060302" +l11 = "#070303" +l12 = "#090504" +l13 = "#0b0605" +l14 = "#0d0807" +l15 = "#0f0909" +l16 = "#120c0b" +l17 = "#140e0d" +l18 = "#16100f" +l19 = "#181211" +l20 = "#1b1413" +l21 = "#1d1615" +l22 = "#1f1918" +l23 = "#221b1a" +l24 = "#241d1c" +l25 = "#27201f" +l26 = "#292221" +l27 = "#2c2523" +l28 = "#2e2726" +l29 = "#312928" +l30 = "#332c2b" +l31 = "#362e2d" +l32 = "#383130" +l33 = "#3b3332" +l34 = "#3d3635" +l35 = "#403837" +l36 = "#433b3a" +l37 = "#453e3c" +l38 = "#48403f" +l39 = "#4b4342" +l40 = "#4d4644" +l41 = "#504847" +l42 = "#534b4a" +l43 = "#564e4c" +l44 = "#58504f" +l45 = "#5b5352" +l46 = "#5e5654" +l47 = "#615957" +l48 = "#645b5a" +l49 = "#675e5d" +l50 = "#696160" +l51 = "#6c6462" +l52 = "#6f6765" +l53 = "#726a68" +l54 = "#756c6b" +l55 = "#786f6e" +l56 = "#7b7271" +l57 = "#7e7574" +l58 = "#817877" +l59 = "#847b79" +l60 = "#877e7c" +l61 = "#8a817f" +l62 = "#8d8482" +l63 = "#908785" +l64 = "#938a88" +l65 = "#968d8b" +l66 = "#99908e" +l67 = "#9c9391" +l68 = "#9f9694" +l69 = "#a29997" +l70 = "#a59c9a" +l71 = "#a89f9d" +l72 = "#aba2a1" +l73 = "#aea5a4" +l74 = "#b2a8a7" +l75 = "#b5abaa" +l76 = "#b8afad" +l77 = "#bbb2b0" +l78 = "#beb5b3" +l79 = "#c1b8b6" +l80 = "#c5bbba" +l81 = "#c8bebd" +l82 = "#cbc2c0" +l83 = "#cec5c3" +l84 = "#d2c8c6" +l85 = "#d5cbca" +l86 = "#d8cecd" +l87 = "#dbd2d0" +l88 = "#dfd5d3" +l89 = "#e2d8d7" +l90 = "#e5dbda" +l91 = "#e8dfdd" +l92 = "#ece2e0" +l93 = "#efe5e4" +l94 = "#f2e9e7" +l95 = "#f6ecea" +l96 = "#f9efee" +l97 = "#fcf3f1" +l98 = "#fff6f5" + +[chaparral] +l10 = "#050301" +l11 = "#070402" +l12 = "#080503" +l13 = "#0a0704" +l14 = "#0c0805" +l15 = "#0f0a07" +l16 = "#110c09" +l17 = "#130e0b" +l18 = "#15110d" +l19 = "#17130f" +l20 = "#1a1511" +l21 = "#1c1713" +l22 = "#1e1a15" +l23 = "#211c18" +l24 = "#231e1a" +l25 = "#26211c" +l26 = "#28231f" +l27 = "#2a2521" +l28 = "#2d2823" +l29 = "#2f2a26" +l30 = "#322d28" +l31 = "#342f2b" +l32 = "#37322d" +l33 = "#3a3430" +l34 = "#3c3732" +l35 = "#3f3935" +l36 = "#413c37" +l37 = "#443f3a" +l38 = "#47413c" +l39 = "#49443f" +l40 = "#4c4642" +l41 = "#4f4944" +l42 = "#524c47" +l43 = "#544f4a" +l44 = "#57514c" +l45 = "#5a544f" +l46 = "#5d5752" +l47 = "#5f5a55" +l48 = "#625c57" +l49 = "#655f5a" +l50 = "#68625d" +l51 = "#6b6560" +l52 = "#6e6863" +l53 = "#716a65" +l54 = "#736d68" +l55 = "#76706b" +l56 = "#79736e" +l57 = "#7c7671" +l58 = "#7f7974" +l59 = "#827c77" +l60 = "#857f7a" +l61 = "#88827d" +l62 = "#8b8580" +l63 = "#8e8882" +l64 = "#918b85" +l65 = "#948e88" +l66 = "#97918b" +l67 = "#9a948e" +l68 = "#9d9791" +l69 = "#a09a95" +l70 = "#a49d98" +l71 = "#a7a09b" +l72 = "#aaa39e" +l73 = "#ada6a1" +l74 = "#b0a9a4" +l75 = "#b3ada7" +l76 = "#b6b0aa" +l77 = "#bab3ad" +l78 = "#bdb6b0" +l79 = "#c0b9b3" +l80 = "#c3bcb7" +l81 = "#c6bfba" +l82 = "#c9c3bd" +l83 = "#cdc6c0" +l84 = "#d0c9c3" +l85 = "#d3ccc7" +l86 = "#d6d0ca" +l87 = "#dad3cd" +l88 = "#ddd6d0" +l89 = "#e0d9d3" +l90 = "#e4ddd7" +l91 = "#e7e0da" +l92 = "#eae3dd" +l93 = "#ede6e1" +l94 = "#f1eae4" +l95 = "#f4ede7" +l96 = "#f7f0ea" +l97 = "#fbf4ee" +l98 = "#fef7f1" + +[savanna] +l10 = "#040301" +l11 = "#050502" +l12 = "#060603" +l13 = "#080704" +l14 = "#0a0905" +l15 = "#0c0b06" +l16 = "#0e0e08" +l17 = "#10100a" +l18 = "#12120c" +l19 = "#14140e" +l20 = "#171611" +l21 = "#191913" +l22 = "#1b1b15" +l23 = "#1e1d17" +l24 = "#20201a" +l25 = "#22221c" +l26 = "#25241e" +l27 = "#272721" +l28 = "#2a2923" +l29 = "#2c2c25" +l30 = "#2f2e28" +l31 = "#31312a" +l32 = "#34332d" +l33 = "#36362f" +l34 = "#393832" +l35 = "#3b3b34" +l36 = "#3e3d37" +l37 = "#404039" +l38 = "#43433c" +l39 = "#46453f" +l40 = "#484841" +l41 = "#4b4b44" +l42 = "#4e4d47" +l43 = "#515049" +l44 = "#53534c" +l45 = "#56564f" +l46 = "#595851" +l47 = "#5c5b54" +l48 = "#5e5e57" +l49 = "#61615a" +l50 = "#64645d" +l51 = "#67665f" +l52 = "#6a6962" +l53 = "#6d6c65" +l54 = "#6f6f68" +l55 = "#72726b" +l56 = "#75756e" +l57 = "#787870" +l58 = "#7b7b73" +l59 = "#7e7e76" +l60 = "#818179" +l61 = "#84847c" +l62 = "#87877f" +l63 = "#8a8a82" +l64 = "#8d8d85" +l65 = "#909088" +l66 = "#93938b" +l67 = "#96968e" +l68 = "#999991" +l69 = "#9c9c94" +l70 = "#9f9f97" +l71 = "#a2a29a" +l72 = "#a5a59d" +l73 = "#a9a8a0" +l74 = "#acaba3" +l75 = "#afaea7" +l76 = "#b2b1aa" +l77 = "#b5b5ad" +l78 = "#b8b8b0" +l79 = "#bbbbb3" +l80 = "#bfbeb6" +l81 = "#c2c1b9" +l82 = "#c5c5bd" +l83 = "#c8c8c0" +l84 = "#cbcbc3" +l85 = "#cfcec6" +l86 = "#d2d1c9" +l87 = "#d5d5cd" +l88 = "#d8d8d0" +l89 = "#dcdbd3" +l90 = "#dfded6" +l91 = "#e2e2da" +l92 = "#e5e5dd" +l93 = "#e9e8e0" +l94 = "#ecece3" +l95 = "#efefe7" +l96 = "#f3f2ea" +l97 = "#f6f6ed" +l98 = "#f9f9f1" + +[grassland] +l10 = "#020402" +l11 = "#030503" +l12 = "#040704" +l13 = "#050805" +l14 = "#060a07" +l15 = "#080c09" +l16 = "#0a0f0b" +l17 = "#0c110d" +l18 = "#0e130f" +l19 = "#111511" +l20 = "#131713" +l21 = "#151a15" +l22 = "#171c18" +l23 = "#1a1e1a" +l24 = "#1c211c" +l25 = "#1e231f" +l26 = "#212621" +l27 = "#232823" +l28 = "#252a26" +l29 = "#282d28" +l30 = "#2a2f2b" +l31 = "#2d322d" +l32 = "#2f3430" +l33 = "#323732" +l34 = "#343a35" +l35 = "#373c37" +l36 = "#393f3a" +l37 = "#3c413c" +l38 = "#3f443f" +l39 = "#414742" +l40 = "#444944" +l41 = "#474c47" +l42 = "#494f4a" +l43 = "#4c524c" +l44 = "#4f544f" +l45 = "#515752" +l46 = "#545a55" +l47 = "#575d57" +l48 = "#5a5f5a" +l49 = "#5c625d" +l50 = "#5f6560" +l51 = "#626863" +l52 = "#656b65" +l53 = "#686e68" +l54 = "#6b706b" +l55 = "#6d736e" +l56 = "#707671" +l57 = "#737974" +l58 = "#767c77" +l59 = "#797f7a" +l60 = "#7c827d" +l61 = "#7f857f" +l62 = "#828882" +l63 = "#858b85" +l64 = "#888e88" +l65 = "#8b918b" +l66 = "#8e948e" +l67 = "#919791" +l68 = "#949a94" +l69 = "#979d98" +l70 = "#9aa09b" +l71 = "#9da39e" +l72 = "#a0a7a1" +l73 = "#a3aaa4" +l74 = "#a6ada7" +l75 = "#a9b0aa" +l76 = "#adb3ad" +l77 = "#b0b6b0" +l78 = "#b3b9b3" +l79 = "#b6bdb7" +l80 = "#b9c0ba" +l81 = "#bcc3bd" +l82 = "#c0c6c0" +l83 = "#c3c9c3" +l84 = "#c6cdc6" +l85 = "#c9d0ca" +l86 = "#ccd3cd" +l87 = "#d0d6d0" +l88 = "#d3dad3" +l89 = "#d6ddd7" +l90 = "#d9e0da" +l91 = "#dde3dd" +l92 = "#e0e7e0" +l93 = "#e3eae4" +l94 = "#e6ede7" +l95 = "#eaf1ea" +l96 = "#edf4ee" +l97 = "#f0f7f1" +l98 = "#f4fbf4" + +[tundra] +l10 = "#020306" +l11 = "#030408" +l12 = "#040609" +l13 = "#05070c" +l14 = "#07090e" +l15 = "#090b10" +l16 = "#0b0d12" +l17 = "#0d0f14" +l18 = "#0f1217" +l19 = "#111419" +l20 = "#13161b" +l21 = "#16181d" +l22 = "#181b20" +l23 = "#1a1d22" +l24 = "#1c1f25" +l25 = "#1f2227" +l26 = "#212429" +l27 = "#23272c" +l28 = "#26292e" +l29 = "#282b31" +l30 = "#2b2e33" +l31 = "#2d3036" +l32 = "#303339" +l33 = "#32353b" +l34 = "#35383e" +l35 = "#373b40" +l36 = "#3a3d43" +l37 = "#3d4046" +l38 = "#3f4248" +l39 = "#42454b" +l40 = "#44484e" +l41 = "#474a51" +l42 = "#4a4d53" +l43 = "#4c5056" +l44 = "#4f5359" +l45 = "#52555c" +l46 = "#55585e" +l47 = "#575b61" +l48 = "#5a5e64" +l49 = "#5d6167" +l50 = "#60636a" +l51 = "#63666d" +l52 = "#65696f" +l53 = "#686c72" +l54 = "#6b6f75" +l55 = "#6e7278" +l56 = "#71757b" +l57 = "#74787e" +l58 = "#777a81" +l59 = "#7a7d84" +l60 = "#7d8087" +l61 = "#80838a" +l62 = "#82868d" +l63 = "#858990" +l64 = "#888c93" +l65 = "#8b8f96" +l66 = "#8e9299" +l67 = "#91959c" +l68 = "#95989f" +l69 = "#989ba2" +l70 = "#9b9fa5" +l71 = "#9ea2a9" +l72 = "#a1a5ac" +l73 = "#a4a8af" +l74 = "#a7abb2" +l75 = "#aaaeb5" +l76 = "#adb1b8" +l77 = "#b0b4bb" +l78 = "#b3b8bf" +l79 = "#b7bbc2" +l80 = "#babec5" +l81 = "#bdc1c8" +l82 = "#c0c4cb" +l83 = "#c3c7cf" +l84 = "#c7cbd2" +l85 = "#caced5" +l86 = "#cdd1d8" +l87 = "#d0d4dc" +l88 = "#d3d8df" +l89 = "#d7dbe2" +l90 = "#dadee6" +l91 = "#dde1e9" +l92 = "#e1e5ec" +l93 = "#e4e8ef" +l94 = "#e7ebf3" +l95 = "#eaeff6" +l96 = "#eef2f9" +l97 = "#f1f5fd" +l98 = "#f5f9ff" + +[red] +l10 = "#0d0000" +l11 = "#100000" +l12 = "#140000" +l13 = "#170000" +l14 = "#1b0000" +l15 = "#1f0000" +l16 = "#220000" +l17 = "#260000" +l18 = "#2a0000" +l19 = "#2e0100" +l20 = "#320101" +l21 = "#360101" +l22 = "#3a0101" +l23 = "#3e0101" +l24 = "#420201" +l25 = "#460201" +l26 = "#4a0202" +l27 = "#4e0302" +l28 = "#530302" +l29 = "#570403" +l30 = "#5b0403" +l31 = "#5f0503" +l32 = "#640604" +l33 = "#680705" +l34 = "#6c0805" +l35 = "#710906" +l36 = "#750b07" +l37 = "#7a0c08" +l38 = "#7e0e09" +l39 = "#820f0a" +l40 = "#87110c" +l41 = "#8b130d" +l42 = "#90150f" +l43 = "#941710" +l44 = "#981912" +l45 = "#9d1b13" +l46 = "#a11d15" +l47 = "#a51f17" +l48 = "#aa2119" +l49 = "#ae241b" +l50 = "#b2271d" +l51 = "#b62920" +l52 = "#ba2c22" +l53 = "#be2f24" +l54 = "#c23227" +l55 = "#c6352a" +l56 = "#ca382d" +l57 = "#ce3c30" +l58 = "#d13f33" +l59 = "#d54336" +l60 = "#d84739" +l61 = "#db4b3d" +l62 = "#de4f40" +l63 = "#e15344" +l64 = "#e45748" +l65 = "#e65b4c" +l66 = "#e96050" +l67 = "#eb6455" +l68 = "#ee6959" +l69 = "#f06d5d" +l70 = "#f27262" +l71 = "#f47666" +l72 = "#f57b6b" +l73 = "#f78070" +l74 = "#f98475" +l75 = "#fa8979" +l76 = "#fb8e7e" +l77 = "#fc9283" +l78 = "#fe9788" +l79 = "#ff9c8d" +l80 = "#ffa193" +l81 = "#ffa699" +l82 = "#ffab9e" +l83 = "#ffb0a4" +l84 = "#ffb5aa" +l85 = "#ffbaaf" +l86 = "#ffbfb5" +l87 = "#ffc4ba" +l88 = "#ffc8c0" +l89 = "#ffcdc5" +l90 = "#ffd2ca" +l91 = "#ffd6d0" +l92 = "#ffdbd5" +l93 = "#ffe0da" +l94 = "#ffe4e0" +l95 = "#ffe9e5" +l96 = "#ffedea" +l97 = "#fff2ef" +l98 = "#fff6f5" + +[orange] +l10 = "#070200" +l11 = "#090300" +l12 = "#0c0400" +l13 = "#0f0500" +l14 = "#110601" +l15 = "#140801" +l16 = "#170a01" +l17 = "#1a0b01" +l18 = "#1d0d01" +l19 = "#200f02" +l20 = "#231102" +l21 = "#261302" +l22 = "#291502" +l23 = "#2c1703" +l24 = "#301903" +l25 = "#331b04" +l26 = "#361d04" +l27 = "#391f05" +l28 = "#3d2205" +l29 = "#402406" +l30 = "#432607" +l31 = "#472807" +l32 = "#4a2a08" +l33 = "#4d2c09" +l34 = "#512f0a" +l35 = "#54310b" +l36 = "#58330c" +l37 = "#5b350d" +l38 = "#5f380e" +l39 = "#633a0f" +l40 = "#663c10" +l41 = "#6a3f11" +l42 = "#6d4113" +l43 = "#714414" +l44 = "#754615" +l45 = "#784816" +l46 = "#7c4b17" +l47 = "#804d19" +l48 = "#83501a" +l49 = "#87521b" +l50 = "#8b551d" +l51 = "#8e571e" +l52 = "#925a20" +l53 = "#965d22" +l54 = "#995f23" +l55 = "#9d6225" +l56 = "#a16427" +l57 = "#a56729" +l58 = "#a86a2b" +l59 = "#ac6d2d" +l60 = "#af6f2f" +l61 = "#b37231" +l62 = "#b77534" +l63 = "#ba7836" +l64 = "#be7b39" +l65 = "#c17e3c" +l66 = "#c4813f" +l67 = "#c88442" +l68 = "#cb8746" +l69 = "#ce8a49" +l70 = "#d18d4d" +l71 = "#d49152" +l72 = "#d79456" +l73 = "#d9985b" +l74 = "#dc9b5f" +l75 = "#de9f64" +l76 = "#e0a26a" +l77 = "#e2a66f" +l78 = "#e4a975" +l79 = "#e6ad7a" +l80 = "#e8b180" +l81 = "#eab586" +l82 = "#ecb98c" +l83 = "#edbc92" +l84 = "#efc098" +l85 = "#f0c49e" +l86 = "#f1c8a4" +l87 = "#f3ccab" +l88 = "#f4d0b1" +l89 = "#f5d4b7" +l90 = "#f6d8be" +l91 = "#f7dcc4" +l92 = "#f8e0cb" +l93 = "#f9e3d1" +l94 = "#fae7d8" +l95 = "#fbebde" +l96 = "#fcefe5" +l97 = "#fdf3eb" +l98 = "#fef7f2" + +[yellow] +l10 = "#040301" +l11 = "#050501" +l12 = "#070601" +l13 = "#080802" +l14 = "#0a0902" +l15 = "#0d0c03" +l16 = "#0f0e04" +l17 = "#111004" +l18 = "#131205" +l19 = "#161406" +l20 = "#181707" +l21 = "#1b1908" +l22 = "#1d1b09" +l23 = "#1f1e0b" +l24 = "#22200c" +l25 = "#24220d" +l26 = "#27250f" +l27 = "#292710" +l28 = "#2c2a11" +l29 = "#2f2c13" +l30 = "#312f14" +l31 = "#343116" +l32 = "#373417" +l33 = "#393719" +l34 = "#3c391a" +l35 = "#3f3c1c" +l36 = "#413e1d" +l37 = "#44411f" +l38 = "#474421" +l39 = "#4a4622" +l40 = "#4d4924" +l41 = "#4f4c25" +l42 = "#524f27" +l43 = "#555129" +l44 = "#58542a" +l45 = "#5b572c" +l46 = "#5e5a2e" +l47 = "#615d2f" +l48 = "#646031" +l49 = "#676233" +l50 = "#6a6535" +l51 = "#6d6836" +l52 = "#706b38" +l53 = "#736e3a" +l54 = "#76713c" +l55 = "#79743e" +l56 = "#7c7740" +l57 = "#7f7a42" +l58 = "#827d44" +l59 = "#858046" +l60 = "#888348" +l61 = "#8b864a" +l62 = "#8e894c" +l63 = "#918c4e" +l64 = "#948f51" +l65 = "#989253" +l66 = "#9b9555" +l67 = "#9e9858" +l68 = "#a19b5b" +l69 = "#a49e5d" +l70 = "#a7a160" +l71 = "#aaa463" +l72 = "#ada866" +l73 = "#b0ab69" +l74 = "#b4ae6d" +l75 = "#b7b171" +l76 = "#bab474" +l77 = "#bdb778" +l78 = "#c0ba7d" +l79 = "#c3be81" +l80 = "#c6c186" +l81 = "#c9c48b" +l82 = "#cbc790" +l83 = "#ceca95" +l84 = "#d1cd9b" +l85 = "#d4d0a1" +l86 = "#d7d4a6" +l87 = "#dad7ac" +l88 = "#dddab2" +l89 = "#e0ddb8" +l90 = "#e2e0bf" +l91 = "#e5e3c5" +l92 = "#e8e6cb" +l93 = "#ebe9d1" +l94 = "#eeecd8" +l95 = "#f1f0de" +l96 = "#f3f3e5" +l97 = "#f6f6eb" +l98 = "#f9f9f2" + +[green] +l10 = "#010402" +l11 = "#020602" +l12 = "#020703" +l13 = "#030904" +l14 = "#040c05" +l15 = "#040e06" +l16 = "#051007" +l17 = "#061308" +l18 = "#08150a" +l19 = "#09180b" +l20 = "#0b1a0d" +l21 = "#0c1d0f" +l22 = "#0e1f10" +l23 = "#0f2212" +l24 = "#112414" +l25 = "#122716" +l26 = "#142a18" +l27 = "#162c19" +l28 = "#172f1b" +l29 = "#19321d" +l30 = "#1b351f" +l31 = "#1d3721" +l32 = "#1e3a23" +l33 = "#203d25" +l34 = "#224027" +l35 = "#244329" +l36 = "#26462b" +l37 = "#27492d" +l38 = "#294c2f" +l39 = "#2b4f31" +l40 = "#2d5133" +l41 = "#2f5435" +l42 = "#315737" +l43 = "#335a39" +l44 = "#355e3b" +l45 = "#37613d" +l46 = "#39643f" +l47 = "#3b6742" +l48 = "#3d6a44" +l49 = "#3f6d46" +l50 = "#417048" +l51 = "#43734a" +l52 = "#45764d" +l53 = "#47794f" +l54 = "#497d51" +l55 = "#4b8054" +l56 = "#4e8356" +l57 = "#508658" +l58 = "#52895b" +l59 = "#558d5d" +l60 = "#579060" +l61 = "#599362" +l62 = "#5c9665" +l63 = "#5e9967" +l64 = "#619d6a" +l65 = "#64a06d" +l66 = "#66a36f" +l67 = "#69a672" +l68 = "#6ca975" +l69 = "#6fad78" +l70 = "#72b07b" +l71 = "#75b37e" +l72 = "#79b681" +l73 = "#7cb985" +l74 = "#80bc88" +l75 = "#84bf8c" +l76 = "#87c28f" +l77 = "#8cc593" +l78 = "#90c897" +l79 = "#94ca9b" +l80 = "#99cd9f" +l81 = "#9dd0a3" +l82 = "#a2d3a8" +l83 = "#a7d5ac" +l84 = "#acd8b1" +l85 = "#b1dbb5" +l86 = "#b6ddba" +l87 = "#bbe0bf" +l88 = "#c0e2c3" +l89 = "#c5e5c8" +l90 = "#cae7cd" +l91 = "#cfead2" +l92 = "#d5ecd7" +l93 = "#daeedc" +l94 = "#dff1e1" +l95 = "#e4f3e6" +l96 = "#eaf6eb" +l97 = "#eff8f0" +l98 = "#f4faf5" + +[blue] +l10 = "#01030b" +l11 = "#01040f" +l12 = "#020512" +l13 = "#020715" +l14 = "#030819" +l15 = "#030a1c" +l16 = "#040c20" +l17 = "#050e23" +l18 = "#061127" +l19 = "#07132a" +l20 = "#08152e" +l21 = "#091732" +l22 = "#0b1936" +l23 = "#0c1c39" +l24 = "#0d1e3d" +l25 = "#0f2041" +l26 = "#102245" +l27 = "#122549" +l28 = "#13274d" +l29 = "#152a51" +l30 = "#162c55" +l31 = "#182e59" +l32 = "#1a315d" +l33 = "#1b3362" +l34 = "#1d3666" +l35 = "#1f386a" +l36 = "#203b6e" +l37 = "#223d72" +l38 = "#244077" +l39 = "#25437b" +l40 = "#27457f" +l41 = "#294883" +l42 = "#2b4b88" +l43 = "#2c4d8c" +l44 = "#2e5090" +l45 = "#305394" +l46 = "#325599" +l47 = "#34589d" +l48 = "#365ba1" +l49 = "#385ea5" +l50 = "#3a61aa" +l51 = "#3c63ae" +l52 = "#3e66b2" +l53 = "#4169b6" +l54 = "#436cba" +l55 = "#456fbe" +l56 = "#4772c2" +l57 = "#4a75c6" +l58 = "#4c78ca" +l59 = "#4f7bce" +l60 = "#517ed1" +l61 = "#5481d5" +l62 = "#5784d8" +l63 = "#5a87dc" +l64 = "#5d8adf" +l65 = "#608de2" +l66 = "#6390e5" +l67 = "#6794e8" +l68 = "#6a97ea" +l69 = "#6e9aed" +l70 = "#719def" +l71 = "#75a1f1" +l72 = "#79a4f3" +l73 = "#7da7f5" +l74 = "#81aaf6" +l75 = "#85aef8" +l76 = "#8ab1f9" +l77 = "#8eb4fa" +l78 = "#92b8fb" +l79 = "#97bbfc" +l80 = "#9bbefd" +l81 = "#a0c1fe" +l82 = "#a5c5ff" +l83 = "#aac8ff" +l84 = "#afcbff" +l85 = "#b4cfff" +l86 = "#b9d2ff" +l87 = "#bed5ff" +l88 = "#c3d8ff" +l89 = "#c8dcff" +l90 = "#cddfff" +l91 = "#d2e2ff" +l92 = "#d7e5ff" +l93 = "#dce9ff" +l94 = "#e1ecff" +l95 = "#e6efff" +l96 = "#ebf2ff" +l97 = "#f0f5ff" +l98 = "#f5f9ff" diff --git a/scripts/render.sh b/scripts/render.sh old mode 100644 new mode 100755 index ee5c670..cf34219 --- a/scripts/render.sh +++ b/scripts/render.sh @@ -4,12 +4,14 @@ set -euo pipefail w=${1:?width}; h=${2:?height} -out="kitty-$(date +%Y%m%d-%H%M%S).png" -shift 2 || true +out=${3:?file}; +#out="kitty-$(date +%Y%m%d-%H%M%S).png" +shift 3 || true # spawn a kitty window w/ a mark title="kitty-$(date +%s%N)" -kitty --title "$title" "$@" & +sock="$XDG_RUNTIME_DIR/kitty-$title.sock" +kitty -o allow_remote_control=yes --listen-on "unix:$sock" --title "$title" "$@" & # create a targeted rule for the marked window and resize sleep 2 @@ -24,12 +26,15 @@ read gx gy _ < <(awk -F'[ ,x]' '{print $1,$2}' <<<"$geom") read wx wy ww wh < <(awk -F'[ ,x]' '{print $1,$2,$3,$4}' <<<"$wgeom") inner_geom="$((gx+wx)),$((gy+wy)) ${ww}x${wh}" -echo title=$title -echo geom=$geom -echo out=$out +echo "+ title=$title" +echo "+ geom=$geom" +echo "+ out=$out" # take a screenshot mkdir -p "$(dirname "$out")" grim -g "$inner_geom" "$out" echo "saved: $out" +# close the kitty window +kitty @ --to "unix:$sock" close-window + diff --git a/scripts/screens.sh b/scripts/screens.sh old mode 100644 new mode 100755 index 5f23081..74f67f1 --- a/scripts/screens.sh +++ b/scripts/screens.sh @@ -1,18 +1,33 @@ #!/usr/bin/env bash +# usage: screens.sh prefix + set -euo pipefail +prefix=${1:-} script_dir="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" render_script="$script_dir/render.sh" -biomes=(alpine badlands chaparral savanna grassland tundra) -modes=(light dark) +#biomes=(alpine) +#modes=(light dark) +biomes=(alpine) +modes=(dark) for biome in "${biomes[@]}"; do for mode in "${modes[@]}"; do - symconf config -m "$mode" -s "default-$biome-monobiome" - sleep 5 - "$render_script" 800 600 nvim \ + echo "Applying $biome-$mode theme" + symconf config \ + -a kitty,nvim \ + -m "$mode" \ + -s "default-$biome-monobiome" \ + -T font=Berkeley + sleep 2 + + echo "Taking screenshot..." + "$render_script" 800 600 "images/render/$prefix-$biome-$mode.png" nvim \ +':highlight Cursor blend=100' \ +':set guicursor=n:block-Cursor' \ +':silent! setlocal nonumber nocursorline signcolumn=no foldcolumn=no' \ - examples/runner.py + +':lua vim.diagnostic.config({virtual_text=false,signs=false,underline=false})' \ + examples/class.py + done +done