From e39dc54c3543b9cf1a7fccbc618930b1c2cf5257 Mon Sep 17 00:00:00 2001 From: pulipakaa24 Date: Tue, 21 Apr 2026 21:18:33 -0500 Subject: [PATCH] subj2 --- ...01OFFLINE_FES_task-Default_run-001_eeg.xdf | 3 + ...001ONLINE_FES_task-Default_run-001_eeg.xdf | 3 + ...1ONLINE_NOFES_task-Default_run-001_eeg.xdf | 3 + ...OFFLINE_NOFES_task-Default_run-001_eeg.xdf | 3 + ...5ONLINE_NOFES_task-Default_run-001_eeg.xdf | 3 + ...006ONLINE_FES_task-Default_run-001_eeg.xdf | 3 + .../decision_margin_distributions.png | Bin 185802 -> 185380 bytes Final Project/fes_minus_nofes_delta.png | Bin 57939 -> 55137 bytes Final Project/fes_vs_nofes_metrics.png | Bin 87304 -> 87106 bytes Final Project/overall_analysis.ipynb | 952 +++++++++++++++++- 10 files changed, 924 insertions(+), 46 deletions(-) create mode 100644 Final Project/Group 2 - Glove/sub-S26CLASS_SUBJ_002_ses-S001OFFLINE_FES_task-Default_run-001_eeg.xdf create mode 100644 Final Project/Group 2 - Glove/sub-S26CLASS_SUBJ_002_ses-S001ONLINE_FES_task-Default_run-001_eeg.xdf create mode 100644 Final Project/Group 2 - Glove/sub-S26CLASS_SUBJ_002_ses-S001ONLINE_NOFES_task-Default_run-001_eeg.xdf create mode 100644 Final Project/Group 2 - Glove/sub-S26CLASS_SUBJ_002_ses-S004OFFLINE_NOFES_task-Default_run-001_eeg.xdf create mode 100644 Final Project/Group 2 - Glove/sub-S26CLASS_SUBJ_002_ses-S005ONLINE_NOFES_task-Default_run-001_eeg.xdf create mode 100644 Final Project/Group 2 - Glove/sub-S26CLASS_SUBJ_002_ses-S006ONLINE_FES_task-Default_run-001_eeg.xdf diff --git a/Final Project/Group 2 - Glove/sub-S26CLASS_SUBJ_002_ses-S001OFFLINE_FES_task-Default_run-001_eeg.xdf b/Final Project/Group 2 - Glove/sub-S26CLASS_SUBJ_002_ses-S001OFFLINE_FES_task-Default_run-001_eeg.xdf new file mode 100644 index 0000000..af0ef4e --- /dev/null +++ b/Final Project/Group 2 - Glove/sub-S26CLASS_SUBJ_002_ses-S001OFFLINE_FES_task-Default_run-001_eeg.xdf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cd4e2b8cfc2bcc5573f9701bc55e9d261fb6d901c817ec3fa5bf933f7b6fcc9e +size 232861017 diff --git a/Final Project/Group 2 - Glove/sub-S26CLASS_SUBJ_002_ses-S001ONLINE_FES_task-Default_run-001_eeg.xdf b/Final Project/Group 2 - Glove/sub-S26CLASS_SUBJ_002_ses-S001ONLINE_FES_task-Default_run-001_eeg.xdf new file mode 100644 index 0000000..883a562 --- /dev/null +++ b/Final Project/Group 2 - Glove/sub-S26CLASS_SUBJ_002_ses-S001ONLINE_FES_task-Default_run-001_eeg.xdf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3e7b1d390ca2b05199031f4120e63c840c4e89339c60611d4c4b3cd937e00596 +size 115438391 diff --git a/Final Project/Group 2 - Glove/sub-S26CLASS_SUBJ_002_ses-S001ONLINE_NOFES_task-Default_run-001_eeg.xdf b/Final Project/Group 2 - Glove/sub-S26CLASS_SUBJ_002_ses-S001ONLINE_NOFES_task-Default_run-001_eeg.xdf new file mode 100644 index 0000000..6bbd231 --- /dev/null +++ b/Final Project/Group 2 - Glove/sub-S26CLASS_SUBJ_002_ses-S001ONLINE_NOFES_task-Default_run-001_eeg.xdf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e7d3a3c250379e365ec14f3fdf1ac2757d6aa94edbd0e3b7edccdd8891e0100e +size 108298062 diff --git a/Final Project/Group 2 - Glove/sub-S26CLASS_SUBJ_002_ses-S004OFFLINE_NOFES_task-Default_run-001_eeg.xdf b/Final Project/Group 2 - Glove/sub-S26CLASS_SUBJ_002_ses-S004OFFLINE_NOFES_task-Default_run-001_eeg.xdf new file mode 100644 index 0000000..41d170a --- /dev/null +++ b/Final Project/Group 2 - Glove/sub-S26CLASS_SUBJ_002_ses-S004OFFLINE_NOFES_task-Default_run-001_eeg.xdf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f76d5490e57f0a1e2926cdd8dfffbf47ef209819b9f6b58163a346f67014492d +size 219577540 diff --git a/Final Project/Group 2 - Glove/sub-S26CLASS_SUBJ_002_ses-S005ONLINE_NOFES_task-Default_run-001_eeg.xdf b/Final Project/Group 2 - Glove/sub-S26CLASS_SUBJ_002_ses-S005ONLINE_NOFES_task-Default_run-001_eeg.xdf new file mode 100644 index 0000000..f462241 --- /dev/null +++ b/Final Project/Group 2 - Glove/sub-S26CLASS_SUBJ_002_ses-S005ONLINE_NOFES_task-Default_run-001_eeg.xdf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b0164cf8cf8dde46515778d51bf09953d89e5227036b390b8d9c9c418c176231 +size 109754262 diff --git a/Final Project/Group 2 - Glove/sub-S26CLASS_SUBJ_002_ses-S006ONLINE_FES_task-Default_run-001_eeg.xdf b/Final Project/Group 2 - Glove/sub-S26CLASS_SUBJ_002_ses-S006ONLINE_FES_task-Default_run-001_eeg.xdf new file mode 100644 index 0000000..580f28f --- /dev/null +++ b/Final Project/Group 2 - Glove/sub-S26CLASS_SUBJ_002_ses-S006ONLINE_FES_task-Default_run-001_eeg.xdf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:da4016ba269156ab02e657185a6d8dd6aec788dab25b07455c3ac95e265602dc +size 111705054 diff --git a/Final Project/decision_margin_distributions.png b/Final Project/decision_margin_distributions.png index 7d7efaebef046d8f20aaf9d5071bf11f66f05ccc..605752157554541cdfdda58abe9941fdf9280b62 100644 GIT binary patch literal 185380 zcmeFZXH-*Ly9UbEjUCyjpooACm9Bt9x(bNY&_XXFhTc1bqM%}-C=ie?VCcPsPDBtS z^w1NETci^L1VRZ(?u_60&i^~c{c(SsjN!n9BqVFi`Mytk*IQj3HMSEMPq47Cu&F;* z(Pv>fvc!WJoW8iM*<8R{yXVJFt@o;hXadCWl*$?jJ?da|% zDR$?!*gcWU4n95}-m>E2uK)WCF?TO}@m6!+KJYHbJsz8Sv#^{$!~FM`eI`zy@V|F1NBsZxSGvy6;P6+zvz@WET3*{D#*x}H z^QrC`Xq*02i1<_bOc*1iNKivVV|5xqstKd5SdTUZdUtnq9Zwy@mtL(c(L#?|AztsEM3-#1Gkb%DCBNRQDCiIi%l#lX`QY`|qc$Ygh}Jqx zSt^yh(9ez#my;uGZf+Kb()LHI9SxjkTAE#JMvTxiq11`5FAiINz0N^!txXT1ZI5w~ z!l=Yrbgwkwx|GOQ(wl2B<>#$~D@H{=Vd(qaYjv|R|?D$_vYUG zbaKs|%bGir?V6Z6cQ-RMzG-hhRoe5H3Uzlj)^#vjb?x5h=Ld(KCn{0f%Ol;CDSvCZ z{l%OTtLC6PkvX)56z9_82q>*TS+Wyf?Ra(&gDz3y52@brjXce3aT!w_`a8)w^er{u zV!wMiHf3$I*reiHij-sAfInCOA7qX#{>Ab<|Imx)CFZq#z72m#`L9_d)qC|T?2Ox` zy4sCd`ls{yPkMTaDoiy+bM>5sn@@Umix#t9Cx$Vo)+HzA-@3h|x}RRjmH4Z?@>(-U(QLa{fn2*TG7j>U%DjwCLkWa=(&$Cm*7?#2TYmN@wiOvileBgXOk5 zYVID5kY~_HVZ>kW#nEDx4TeP{hL(AaxdtAAM0^dZj0b!K)DYNT|9nHrv#`7=U&>8w zD830_;^g9L;Bh|jA>Sf#>@d6hPrR@J+DZgGy*w`?NN9fH{dsY8?Q~E#a-*1Nc%&#> z!$$DAfk9QRQJEDlrNNbe_8Yf}giUM>qg{(+i`J;G+$6@fczQB7kIlu^V;r2(W)e?psuwha$h;!t&u2w{>P97;R=$yKaw~6Fk4L>R7 zkxA9u5G33gR&D%Pk{V`ab(GiVgR_B}>m{c;rwFxKJ*sl;Oen&H2bPWYZ)!8jJ5yK@ zUJjMtc*z^O`!8x%*IX%u5y7rF4nLQF&RObWZkYVVTD&Gs-hXX!LR1qz;b1~vZBV)O zUb$^2>9$4rlLzCw%E^uuxxLWtDMD=6F6W)t4L9K|Pyf~NJ5MhlNX`D^Qh}1Szb4QR zxx_3M_h)Ql6)XrwDT(3XhX_F{CB!JnzH+GI-j_+=UzxAf<8Rcv8nq3z6u`d}pF`p` zYo1Ll4(3c%JMxUIv&*mFPn8e!vY3hW$9$4@O)*ze2-@<1wEJEf4#I=IHMOyd6)y8} zZF6L7iIL)=iZV}4=o^8x;-caVbkR}aH4GyZRGcXbT_aLtO!EE;ztz=bgAgjkmz?F- zGu&4YehbgY*@(S~_mmsm-|0)m^orLg7>&xlv2V(@t;E~Q&403Wc`u6g=yY{;mX&tm zE$Hn+3LD?3=3RWj#cDnrT8tJKWq^8DPgWMeFzAg0KEEknWB*eF^c=@Q#YV7834sgg z_OVLzx|7cYG~wm$EqitZ`^=C@&xhm!&&6OAc@!)LUUFka46D%lz+pYL`Z?6UO95px zOLBbid$EQe#2hQzjwsJo;gYjNrDnvApMdl>Pg|y5$!4nA(G6VvUbi@=dih5BP|1vf zSzd)~O>9~|_$Y+6h83}~jx4@i+@5xN2g*BvLiL>Om?$=_dU{%!c*6;St1w%LA0Q?E zb@)i#%(;pfxq>x=w|tG=vRp}=b&3mV-WD*H8krJG-re-Z)ynsT*ECndq#Z=gmoHzo zK9#{yvsIz*op~37b@f(`v9K7PeZaz^OWa->QX52-i*fME`W&N{T6Id;^?Z8c$%|O6 zxINuiICtbD`-kr#5u(8p}fAr*u6IXM!EhCPwg}XOz8?{qo zp)<3RGB$Iq``ky-HByH3OT5@T&Ccbz8# zx_L?)=rn3%$PTldFWO@h1UZK2Q~ooojs7I7wRJha)e8rpI$dokv)QMHEM`T9NAo~p zWG|Ia!B&y`6m=FVf2S0lMSrTDny48_jTqHb?X}G&XjFT4F8f%#@h6<%hPYYWR#L)D z+VF>L4YtCHjF62wlu7UYpWtkt_r7QD-t0U4Z@X<*oItB9dg8{iM^$BIc#c|Z%suJX z=vOL~_l;`}-E86+a6Z`^yGj10>HgGBDCth;rL*!spC5k8*SIytNX`uVbTiH4;riAP zG*(8Tk<^0ln8PAD+TPw}gO`Mnq%RQVIg7}p5dj_4l`_l`f3VcOA_>{5C;i3N-=lda zJv(_@(XND!$rd^&XOB)TMjw_eyE#-OP5jMRjN#=WlSvrHG<@%dh9@8V zEVFapQR0{J`qC|{@k-;6aQy9zsL6Mqiyatuq+r+{1i(zTq4YsD{(544gGozpy_}oy z;e2_`Br)IQ?2Sva;!W!hlS(c|qmQPaq%B;6ANnqP`b%3;S<5n|F+jq620>CFgfVE> z`t(Av4t$Ei0X;qZq7fX|9$l9&AvKY8+7VcaxUjMo_x8rAPSR>szZlJW;;TWfR>ksX zS*;!L#d*d86)(c41T`(W-^?Y;c;|LsFv>;9QVQNF`Z?F_E0~W~NU2PO;XAQHQ2uN( z+!RAj__sJj&hpP5SNa1q9u8X##mKE)pk!b#E#-cm0fm>_=#lyZc~-Jv%wyNZFGZ{K z0CD_dG-`0pWk{PHX^!iC95zwr@F@Bsr=Nj}K)PYL4yydzJ>BEikp?I92;uZ6?RUp4 zY^}p+zT*fXMsA$`#n-PHV2?K7KG8Q(b9#=l;>g4y?NzW08$AnM60mIrJq8l+8bdS| zbBXhfeyV(C=zakkkF?0D%tN&`Trp(-Wk{));l^atPUBpnxy2Jb z$Y`^nn+7RTcH4L`F1hm=niF|xNZv7BQBJ7^aHM22!ysya`X8W4-b-T*`@Hlx?O4Wt_L{yj4Ie@w}DL%|g$` zy27ui8ut;7(_!?z1+N`7=wPXISlpn;18c2XMcc(+YKDFX*Sw#(kR&& z13HP~(|Z8OK1wFMpl}fLuB?oe#oqD_>=H;y2rb=AobER~)Q`|w*PrN8soew1R^;hL zU&T#aAQW}7nYMVam>%PR;#Z5hz#)Apoq9mazvO-OU_sb-P(x_H#%)S=Rn81!HJGbp zCbPbf8KyX^>1NdKlQd%K(aPGYvZpB{X4Q0WZH6~p&i^#EG=>%`+rJw-mqoS|q8b)< zu5D_#QHTV{syC8#I}@X{_dEWLug3&D3Au+*M!7d*3Vwe*%zkRc9-Ia(!k;z5&K<)FLg5~rJV6t;&YB6GA9 z!=z&+Bo3f;E9xHN@ak8U`&%m2mC{XO&0DzgV#Tl{hF1@`^^fued`|cHcH9q;+Qz)^ zVFw$XINzMrFDk*i|3-3<1bNz_b7jBwN|Uhnf@;|nYSu*Sg}@rRMYB$pG%KrU2*CEj z&?*ZR*|kWOz07sv*UzyRf&||`Fnu#egwRQ8J~(w75?F|$*-E6!x19hva#74sPm#&L z?m7%yX7T~l(@0*wW9DT5EkExL*T2!*#;&wldH*5V8dR*8Rc_rwg|MRPB+MlEzLUX$ zOEuFw`bKWKL!rNC=-HxW&tl9k#z4%qCRFj_PhD$MT`J!K#A1gk^R*hdW6s@ zO;hqS@@+G(GNgfq zku%JCK=>q~gzS|8Yy#Kcgpo^dh1mC{z418#lpY>Xdiy19ooh!MZh7y~%&w#t2W7MAN;5T}C!)T@KmdcZL2a86cW z8M=%+BdvwXPNifjeY#2Kp;k-_yJ!63bRr9wAvEbcq6GumA|y6AQWn;wj3nZEuTTAr z3)1yaCw5-Him#@+TfJ90#FX_{5ODDx5#oABe5buH4cMUOE&~R z<@iY|Z#{pHy<^t^n5#znzUKIAS!AAeLd&e>QCX!Tku7+V~)Qh4$1$Ry}s+nSER2hnuMJsF|i9`36-?^{P5{F_|do+|As5Yl+gsiRGqHs8Y3jN z4~Nn$k#=tkDt~AifjwjF2baQHC;_@2@6=y>)o@s`@JV%MqPA(Z%fX8{CgNW66e_~; znCMY$oySURw37OkjD9|1*H>AI>oOT_GjZzHZp|_Q%`qSk9fh<^bog1@G-C)>A}nyV zw1-w9G|KV6y2?YJi1x4?M+R-jf8zF)G7LS)k^75^fSI2po{dl8Enh!kZtC7xaC;DL zittL~>?5AnO1sI09nn0EaTY?3W`>5p-JUHyN~ql0GW`Kw?G&rH?=aaGEls3*nf?-; zI)}^E<|#UzjU3)gS{WK5)Ac`bW=WuthPgNK4Y6o?%}i%Qm)XaI*(h|F@HJcd!JZ>` zCf0vB;PdJc(Fi7i7U6I=LWM^GmRR9a_~x@mv27M3#GU)A!_b+MVW&V8?~v&9Y+_~0 z0sB3}VNYiO>-`t*D16S=LG2m-BCWTvv#&tet#+#h&mu@e*19~!;cwaa73Js9 z>kn_}qKC57LJ{a%z+ptRFcg!)@?F(hSTTGJm~Yapu~tjO(h@o z$9e-;*TACt*!Rak_wOZ&`;b$Fb|>vx%)M`J7@A)ajf+_KS?fVqy*h6^q1K(B3_8_QF|GrkBj9*)AUdTX*WxLANDDU?|W(@Z|Z%+IE&B9Wcw}r-^W?_-& zXbL1_4=kY2PN!7$xqz(@R_M9Mx`LU2AE}5&$~bB(YeU~WxWSPln@5(}M^8!#Icq~g) z9V$BbC774?%T4+fmTM{ZONPg&!LLsKuqL((x4(wu&dK;J>W-t)IzuMXxvHhrUBN!4cD~(nlyo=4vCJqs-lLr z>T7#1Pn{YIY>KAoi(36AGy}p3{jfTCN zjgb>`30!r)r>;>#4`B(e3 zS4Z>u4(qv@pPJf@NmMZVc;xh@#h7kczcA3B{RUOft8V4crZqbqS#^|slr6fIyH#87 z6E!#1#m|Nqn|26YE1vtT(|w&!)@@~Xm92fHu9zI{hF{suCx2vIVIh*)jG5YY3nu}&6OWMBm;PRD3Yg3=ey)g_OwkEZ|gJ96jrb9P~wKKUs@+N2( z)7#?WWj&;Tg{d%+9rk|c%D9re661Cb?@8JeP&ux?CjX3JztKceF=w2;sUzZjf$myW zOq8vTYV=t;vm=Y!U+1U(l2Poa3dPE?2R6p=${o?v&8y`wXVkNu0>jv;IpT`!QGrUA;b?Bj8wE2D z=ZIDRIny*DuHh7(oBq50G`lxRBx_5>G?nv+hV=dn_4bE!-w5)$1tD6pp8KCux zSXM_VCo9b9jV=Q@$O%ELNrDMzS4j*uyY_b|cblNfn&C%m2LrWCp>$jeQaiZ?xDvkH z`Wtp0%l1n5MN-#m@gcv(ayvEHLc}?)H9YD3=lkACb3gs(zzDU_kd{&r2F9= z=O{%z@+D)!WlcB<*FOqeWLzpBQS-egSic$KA44>J;^C>TXis>o;pk1g_F1Hk!P1w? zaNj|P0D7EzLss6I_zhe%0(k^>{}DVLSW@heDWT&9KNH=?FM0RenLC}QohrRHUw%lm zLFNlCM5xM?iISq+8kTb1Wb%2>AzKVRB+b-?wIeimmtObZ%nW`Ce8D1~*SYF#x>Vtf z$pZ>5coj`>qW~>!f@z$+=MwcIbEinNPWTv@L#Am&>+hQ6TxsibB6Pc=V(+Zjm7^h|?g|50@GRTs*q`a4`%9%;8^EnS zH`eRQYwKGaN~{^P2wVVM5hVqcRVoTxb}(U|Ss!AKN~_^7sLscK)Hj_oVGsS% zc9cK(C;Ghh`_URSa$v)NJ<0*0UjRiCMmD6lPjm>C7y9N&j04lSnXpsSR}Edfkn77K z#F~EGa9?-9o_FP(?nuiQKa7vdV7=x8`IJ7EOEWVPS};q0hW8O>`QjZN z^Frua0ZoHYjme5fK zff5~(AI{fDZxE;`^!ab^RA$|#ZHi39zW}Xp;4*; z$1=6DvKrr+?@e9U-)PBmJJ{VYGEZceNE%J`S8!?$YG%->90WIq)Y8-AI?l0?{Gs<; zJs?4jTl#A0hqs1fiG-jFwd_u1u9+c}idC145^#pQt}xHD zz86pp@%S2NO?RKgySnj*g6OHQ{@(h~p|LqWGo1YA-Gx z3K|qONB8XSklcszpzMgS@9#KEQ|~$_YNy>B1Q2UXM)yS<;3K_EHIBn%7$KVophQ~+ zVohd;4lE>Rf=iWleVb*KU9|ZQ0B4yf^V=7yv$L;`IqpvbF%kg6l~rJXRRA$iAv+AN zX6-it_X7fC!`O)gp@HJdm%*8o_(PBqD#;l^%LTYGfLzffwbLmA@61+!=qSeKp$Se; zkx!6r)vdN4<{dDB7+TBjuahSMgdt4<8&<4Q6_SLqZ1h_r0j6?h)EZRC;#_fl!!YpY zo!iko_}q_a@5Nj0UHxSI(I-uoGHzP}oV|yy88Zy}Sg!%xFiQ8f&yNpRN+*MXBbRNr zWa-r8YWi0Be2rqJcL@7U*fvG`TjW01YRA>n3IFOFh)-M=#Ig*Y z9k|k9T6{C1TNw6*NAhMyK(;eN1;Pwc*n(t1jiukj_t)(F8SC0SdIVvizkGp_)99t; z1W|%Ts(;UQ5xkUnJk=1{K~ z@*-^XxrBuj)X6{Bwlk*m@1g&?#E5rtdS-UwExXxleDdQp0y%jYUuBT}kSc2k{K8`k z>_)w0RHqo=p0!cRLwTw84W80LTZgw13D784EE}b<_lJUpqXomvy{*KX zx8f{4zjLBN?P&BZTN?9m2*uaByC1#e@q7xPWxWWFtiW|>HoKF{t7&~@FKooEgUjv>97N=ozozLEqbHb9SnlG3lF<7>t0 zejeJXAL9=@_!q4fqBcPQsvLXH}HZ5Ut)2##4?OUcsUond!U^Ump1JJLZy zO>lP26pFqxZp-d3KXBlH(M#OpwokLk4Bk}lAvtlYr80vF6M!-Pex2v{RjMC*Mt^DG z8EW=`%T+<#x@EGaX1u^4566-$aS1S(ejJJE{H^U4Y~=I9<(A}2{Q9!r`W~d-wh5o!E(>NP43<<2mq(O_uq*QoX5G&T<<=lyfV)m-;K@q+Hz3cLU$~U$iKz_wZ6( zDf*X>mgY-J&K=th6Cgym#A{1?5(@gx<4M(Gz?g+-9u51fvtl_5ct>jY8dFBG?9xt8 z#c^IHH*AlZPt{wzXxD8F1pT3o8baP4vu@PE^q$GmPqz-;gPY|VV_0iq9r%YmHCxq` zSTEbkEa&HZvvM{Et>dxAKVVZF2hT&TX(0W~U29;;wElECNZm?lrpV{kHfzM3c1h9FeCI08Wqq{Fy{@7@K@39!})riA;#(Z zY=e{~niipK2BZVRfn*hAG2}ZN4S8glVWvZ$YXKTl`z0gbH4mrBc!#IDw*;;OP#HbZ zZ)_dH=|Vueu7mci85n#?@@gzMov2TEP~892ciJ|eQKiNgc>Sru0jMplFAg6~l$%sO zEpvSp0rs2zBz54U8Xxy$xsCFYzi(R1PUG~Rpz~e;NE(QJ%FMK0D+h;U@h6bxueOks z#EC#eZzcE1iO+lZ^h8Og1$+q#JsXBGwhDxMfaq7W>?PtXsFH|v@Vt|NYC@cpz(#QO z068~~*$sY1i~_}^*3DL%49p@vi+V43eJ6x;M|zZ!<^9ruC&r(!!FPUE#!rn0Z4J^* z1h=QrWFWO3W5(({UGtcEtq9Ou#l88e0Sp^ZZZ+fuFx{qY3WRKON>hEhy1P&E%m6Va z{-RFxY=(a$=v*P)lm0oPh%lvTqVVr%$n={bl}Xo36gj?93wD2NTwL6jd2SY# zVYg?@?A({k4?DP_g^F7dL~F)=QV8(cVGY&Dw|*dk@#xtXOF(M$s;Ylwt;PdU(M(m> zE+gYMG_mps%u556hs|E)5KR&^$W4&bQb3mW)S4u)`OSpvm{ukr{eE1DY)95-^&~y3 zfw6Z;H0G)Vol+VQOcu}QW!lGS* zn}eW3R_b-992JNutWXQp-_$A`c6$y0yJLuwN?WIEZ~$;iE#kwS8YaG+@tj^V=#tPz zyy?iP{0Q9El1A>_I9H&JylI@sjf214gpPrdwQ#85BDy2%`CAQ7!GXBcR35!PJyc;+ zjLiH6e_KsR_V8#oSU=oc@;INw^N)uXgfe$Pny}t;F}GCX`QG8T^vd@_{(c;x zulRu2XX&}m8V-R4@_GI|yK_m_s{nGuTqv8~@mq#irIhK)$zBoK$n!$s-8cgb>J`iM zavmW~v6?<)gE`vp={R(>Ln{Z-w%~6vmx#$vt0Et#YMvyazw+k_i4P#j2FI5@dmbNr z;vh*E(FCmUF^0>1nse)hZl;}zyqN8ut)Q^*dY-~|b$P;F8BA@O8SUU(9H`K2eZp%1 ziy7B^5CisMBV$`Zy9gtadCMej^$=OAc3)j70I<_Xl@^HIR}m8jsc-@z5#G~!By|{#&bOcnK;cC83ItgL> zHKdh;JlnT1cZB*21C0dxOj;LAd}21&!md4vDmPpj&w5fDgJ4%WD5nzVP?fX$u7+Gl zj%{2E!0sQ)3w1aEsT+yM$d7>L$WemAqv2B>w~`j(4;l;O&cpGho+b4m9m+?x%yrHADGk7s~v$%ciJ>g45X^=dC&KhhgSDB z(^dg9Q%6p?%(R3o-KK-`n?y|q{pPL-NE+b0Jl-bG{Qks2{lo!P?@~ceRBE^Z;j52m zJKZnmyL_&qxkJ`3$sSNTj#&nP&D~QZTO=~de$N6_DULP-z#?t?dX7C@qGm6*t3X#t zGLHj%Z0+RA0&}%5-W>G4FWcu{5i>jOT~09#QvwOZknz1$km7 zDQmWA(|rqd<)_D0PRCXBD^gv?7eLSO|28{9FRRR;&vBLv?Wru>cQ>5|-|ihYT8*k5 z=hD?%DVy$m^5n_xbbAJ=66_Ayf9Jr^!Tr~K0GRBn`-m%O^Fkf_bUQvmioRxwemn&? z%D0HmcF#ybfE>&AmyAX=fD-!iNB^A z{n-)F;M7Y6XNQbQQS-i#Jp3ca3~y)_gYj z7ko;GWrj4l-yJ@3>al|yY_vwgs=3oNT?v*g`;n|tO&dx*p6}^kZjh`&q8Il(f_E4E zU8a>GFXM7=4xXzz1V#^Pr(tOMQBvza=}<$q`wN=^jx9|XcEix7CR}}&ZU?FT?b&M* zUbekeOmzQ|vIN@LUF!hLbAWP687$>*9)bZwf0SwRAwNVVF>ci0Um2Lzpfr;br~iSe z%aj4%YS5yeG*pqy_hs)+_P>XqBKRmIj zJU47m-dOA>-F(mPdRWinJj1aFH!tB&|B8<#Er(|I1>!=vq8YUNm!AMI^)~3>Y)$kW zyTYMA@t_e@4p&Yu+#5hCf6oWt` zck?(Qy=E}kQP0@E9ghu;u!rkq6n>7% zQgQQpr}Q=F{-=!RnAOVeY`ZHj-9W%UULvarl9FJ9(n>vS>f<++ef(rZ5*Inxjbx@w_#{9 z&=;Z7@aoT=l@ptHRjXY}2b7hP8)!Fz=%aUfW-^@L;KyM`%{wNgXwL2O2e%BMIL{~? zI`?Rf;lzCm=P=h7{Dk4>NsP`JM|VATl>q(}z0}Y2!oN54Q{M+&R%3So(dV11k~Ptb z?grwc$_iG67Xh34aO;m&B1pga#dd1(9hZ-~RGmR0ut{Gwj}HA}3hsz+=8z}DOC167 zWN$!A@PD*rw!(HiNOH}(85J~{{s1gzNke~6@_R=tKdJK6a6$1eX2?f_Z9h{CDz#ql zIpfgNASX*mCzB%V{5}8)ddsEKf2LS?2g$%Pqt0Xs^pO;1^^h4mZy++hOvy{mZY#xo0;6yvbuphj_D%H5(K zo84LtIMsc;{L0$g8D}{r@0gVh6Bd@{pu6ZW=pF$1*PW6TcYl=0XQz9^vq7*?hh0&H zsu1@>`OrRbo~_z37Tk+4^Rc?o*URbj^$IB9GVhBnp#mU=@KqNwgosZC;P{(Zx5fo zcNw4{_NZ;ksR06z0W4XVS`)i)e?eY%cjJ{s%-(G8s^0C##C~3%fd{1u7vM*~r-(7U zj5|`?;vADzR(x#LTY19f;nh4nbP*O-aoWQggisLUY?xj2A%CZpVgBFiiRaGoLb8#lVuz)B7?=QZWLWvORS;3MR&XP6 zR$C>T5TkT$5TVG)I!gP?NQn{b5RCOACw(9Gyz|lav&8JV3sJswBWl74bkZ1CdS4ObVS$#H*g17Px3KrhIF9bF#~BF>q-z*K3;Y zOAHe?oA*_9-vQeH{2w_V=VdEp#C?6r!*IQ01!T|t9*DC_CU8K!=e3e5P*KuI6^)ll zEGTK4VXpVDi&E{J$f%|#gWyDw4#B|`P(kAZ6i*B@G|>2O@flq@PfJ7c+3dWU8j;e* zHCY7MmXrQl360^Z=PiBo+I!te{@ppJ9*8PU=_0lU)uyx+rY4Q;-n%skB5sbBZx06> z85xa7+lYFL@=xs=Bu2SS3SRL4cKl}Dsd57y8G%yia6n8JuwR$vhe5i+1#Is?6QvUa z1)>=P40=x_P&`JaLChPsHx71eyqn~$Y2s7hZo6?ir8%8^Y$|G2`}XwBt?MnXCEcgx z#{_U@sVFXAE9`YLg4>A}e`mZv}-UaQM@9Fi`2@(v?44ZJ2-*cIM|+QQsbXVz~%!3G|} zX3}VUo_4K6ryH`&C=ua6*f`>!AhX84xb!b8n5hY4g7!H#XMEzpgS)(B-_lVE>Xa<< z=eAw_cf3xsE0xP2_3q()u>L+oq1At@23*oVFrXVEYDty4LxcZM%zww zbK)PK;X>gT4Y-~Z&**?TM)8o6nMZV2kaD>!_5h%b>*vm&KWbj%gp%SNgWKC51rg$l zH8a31xmySH-9(DH(SHQ7o&OcYY%((uYxQ%dtANRAQwCCj|42tMZR}D08~V8dw1bNx{|Kvr|#B zYp>Gry>!bRb6SveLEpsW!YWAhSP+)3L|)S0Z)TD)pk-yQ(--(L%z(t&td)HC0@yMd z4vdu<3`TB7z{~0kZzfi*CE+IT0z}YVrqeq(+8%HWOhDgx<=3awcXzq^s~s?o6P57f zSxO&sY-BOCGhrkQY@vGUCsc-jFX9 zF0H%z^d3D#5ik1@JWFo*HqfOQbYAC)N9Jl^j!9>DLuqHy+lI!>&!~$+KwFkz4ou?a z4nslMw>+-~>3KdngO35y4p*^0xe*fk36|&ISN1n0Un}S%Tl!CN>g5XYVWk3>3-Yd3 zYU5Pl<2v#i?d3aLh7I`G4f`M8v$qZTkO_DYFR%?Q)#3`{N=Y;|b^RKBNd|{(*Se{& z7X~J~z8^H%_h)#*7af~XRneE>CvO!!G)ts_&xDiIv7hEua9!&Z|pV@ueY2QcyGu)dwR zMt^r>&d>7LtHyq5m{nI1QM2k}-OKOCfF|V#c={V>o-y<|u%N&YDQr}kI)fN4UciGG(Latzmd zrv{dkl(gXXCO;|_fA4+XsZ>Vp2T+w;F6Ls}3q&ump5qHU@HDo&GpY@D|ElhKL+}EM zC(6lI8@_fSXi(6@};(C}>S@ zfr3a)O+HbZP}LzByz5~cq!lKqE)NMA;yn2I>ErI5oU1OCT{lXba$-0dj+cbos%~DE ztbw8~Py888QQ#HkJay^zljm}7i=Xmo)-O&V?})6lvV?h9%|-b(IZQVNnjK0LLgjB} z$%?H3|G}*;g+D#s#{#x~zf)%FWm#cd-jXb6O^;uvT)^k2Xdk+`bw2S)wb=rXvN04fSj~eftrW^=3N{)@Ak{(Y& zioL7-#sKLGh<@DGSa4D>p5_A9>Wn9Ce3-QRE+5C-8z#=0a|%5=9TyBuj*E4@5xTiw{PQfmc8L!MqrN z;9&d;_TCwVn_rlZ-FHRXv>i!$bs;-Sjqe>8L@BuZ$7{y5gdmvn%}dO9LPscl&puHI zJl#nY*|D7{Y3xxZL{J61X@nnh9lQy4nEtMkJj{9iJb}yHrBxsN=6(qZmy$Kpxjf8u z3)~Z8dcgm^af=A&cfS1ZJ+Q~FGmF^&+@7C$#MF5I=l0_XGqU|ZxBvUq{~eA0TO0q~ z4J`lfw!`qP7x%yN1+PD#f(#|RHx*I~6g)EkkXD&v?7;R++OrHPr4M6T@<`72E@r&u ziB^;Yv72Hbh>jM*guA=DtB$Z;90wcRhIy@tW)Syv%;WPT%cE@|?eY{ju}A5fJnsCP=99Fs6IWY5meY$A*3(y zI`38xz;6}w=4l3Lr0#SKh_=28>BRIpT%gldfOq`nLQGi7-AR+#TSbjPpb_Dw2Z|R_ zK>`sc?OJ41QVE8|rkMlpwTeDkBYxSo%K(Qsw?(qo`cDVmT$K|L5LokOGoUhU+T>yR z!z|A|EX+q*oQr@S+(YA%1EbExh@CYzvu#8(^8yY7502J5=NNjpBCRaUVKdG}%z5l= zB}UEDVp?5Y-8i7RcjQ*f+loPi17vR$oX5+v8k2l`?sSfWA$XV8C%4xe|CMFWw+m;{ zRW1gp(>kDhEg5SLizz870j4Sbh_(h&+&>j#w=LO>+jf}qz&)gw4Il#nDIxCx={MoD zTsk&2R(A~8`^@3GAzA+AT&?7|VGk>if0oFDaDw`N%&mSd5!Dt14riOrB0)fEYeioLW{NVWZITwK?mmt@>Pc*ZzNLw$jM{DqxmJ~8-U|^W) z+CI4-T20#pg3rlDHI5abRtiWjH||KCVzY)m*qfW5 zHv@dhrK(rj8(N{0D%}el{W4rXa3kF008O>*Q1{itgof|{6hjT$+nl3-VU2N+)|y(W z_g=t*4Du?7C_NTDtTSN*mSe!uN}{NFuKX0Xcv#9YBrhVv3dFLEmMGOA*(CM9$a?B8=6Q5M#-9jtNrp0nAk>ZiZ@sH*aR(1ID_b%7#V?W zibgjJHll@?{;V{(m_Yfg{#CPT2OBUi`F1}!MtkY=&FUImFDlQ!Rd(xhn^SBLx)NWM) zja+24F_JIHVaa|ON_*c@_HRIB(Z;SM6&y^i4XG8T?Mi6|$%lF~_@dxhEaRLBa1elh z1p;{C$v=U{?aOUx9lW9H0Uj1Zbjqa{EP~RvTrddP zeA{OdrEe4i_+|*$BXGOL@7)X)yC$fJvC->{25=Pu*`>V4Iq+hXP;wv?j!zUZJ=255 z3elzkmE|Ao2j*EsEC@7sw7=odi}b`h<{?9^JAHvncd4|*iBtny87+wbZkg|TzY;?v z#2pmR*4Bulk=pJ+raQwY4UT3jIGPyr311LDH-E?-1WK~)_yW`3FcAXE%6nw z?!#eI6G0%RE&#*w+X$@zZN3Oy-KSyOJYR3#>@yDnrm5SKDNf{{OY#f??h>R7nL|KN zFJ&{8XvjE+JYUEKuBuNIah2BvbqNI;`VP=Vh2(Rj7e>bfSyWBD0QuENu(cYwwx&l6 ze*IeE*$Z+r6aBUgw>pvb6IN4Be_iuJ==4Mba&eac?y|st2dQT%M=?#4PA*AUyE4BE zzzj09=SR-_hf^Mm9;&|b{WIHR3#e`tm^Y>U9{&L=-$#m1PaEs~s;;khP3n8#nmyZ3 z%Nnw>M0EV-i5qXHL7o!5L*$wF*QQCciCnp-OY%C z$t|qA%7xZr2ag#^?`<3Y7RD)P)y;zaIeX(wUe%JH^C1D7;ZsGIRSJl&uLqv+t0$bO zIBeZp?9whi?n7i*0CfNjVDLSQru^%q9DR_&1*!Qc;Q!wzKZ!zlbkvqEnVw25temDw zq^)F2+AGz&ii++BdD86#AI~FRU*6qb;2CCsLd`k@mx(t|Q;1Bt>nuMsA=R4V6@#>~ zpi((?&z5gCrKRXjRIq+GP0xInHSs1lH+SjJ2Sbp)Kw0_qRV|G{hgWN4SvT#MUV7`* zU+_{{mDx<3Mj1Hmr4WGJfWewMD>jDThg;^@wS zoBMecyZ{;zmbwH#(1IU)5p@qS`?D)dbp3!THbX%iWg+D+&$i{HH`8qovJGWQabh3x z1bIlr>cm?*9QxhLo?28n) zezA32W*>2y2zM$cXq(4HVSfP*Tbi6p+w*~|8#J@pPFra^&r7kB8JT#g?Rb4B!P(aG zGN|1Q6BTeYaW45w<3@tUzQ5+00IdCTXZh71J}u8QD6l0)|4e|sS8m(~w&@G= z+0DmTs+>N~eTIT25E?<^=3~MKg=vj8D-TF|zL5+5xBx}&_cIRie#kB({r+=xnTqdt zmrKxb^P`%o*ik8LO0b^jm>$bx05ecR8Si&%f*uFK@xue7-keTthCT7%y}%#gtS9;! zsNtK~*ltSuR&jH*gyw6uUa5D_nsroR*@YD?RsqSu7aIvKG46MULVIYfl*OZgh(BF1 zK5~LZl`y7J3+2;S>YK2{aeokU^{mjscpmD^vQ|k#tVzUJrtMTKH6=Jv)JZ@h`D^3N zIVC8MsT{+89->#oxQYr#_BA5yD@spe??W=H^=cYfxNWZHPQB>^sWY(aUrb1%)}~*e z&3?N{ty!$!cGul5(@=vSueO+|dE(^L0QusnXrF!vD?C3y%ld5e)>Q(#sjB+Jta|E> zWUbY|H-pAfO3RIp;z|Cs{Ekr$BLu$pTK2t+1HnGp+u32snL93c72~qaLqX4cDvePQ z2%>hMnk~4fo2&}$p)@mgazXOWH^37(cYOtoP=&{$m2QmK!!$})RBzf{gMdzYM@XRF zSo$?N(2Uz&tq~LO&5_Kzq-Up#P{=Al$z~zNwOAObQn1x<5JeJtF%Gzio zj1&>bj1{#o|=O9dGj@1p#+PJ?T>!s`m?=!lGh9CnJ?(f4|Xt4?I%bEsdM zdpN8&J=4nhsZYOBe&{*uVAg)e32YyH2~D_>>L1`r9ocXs`<#1_db;GY(Anaa*j)vz z;h-@W_ud9kHFp+O$x>!K+_EMWH@3J;?b?h=urkR?&eV)!IL)V=E5M6sjunp#MQS#K zq@bJd?nCS7vfx>WsVD(gi|pu+O5IGx!Uaf}gQ{2jbh@o&=6Lm@v2x!o#okMXuWy76 z_S3`z;ML^sH0hJ9+JqZPbL|!J(r$$E7um*O?*X1nj#d0YX7UNqF%6VI^`UyfBWF1Z zmr*FXJoTnrh;IK#dmP|mUt!jgUSE1kGxwLfCYsWQVuq4YWoaDyd-s|u2R|;6qI9Je zt4TSk;s>kV83kFFU-DGbo7NdG}3LFwgoa{H>Mm| zNi)H-fP5vN(tBDhZn&vDUq50Q&~ozZ4D>QF%XxQGz|&E-0-=bf7nIr@f~y;atLAM) z3GLr5n)7M6TuxS6Pu^_01ADbnH!O?uu=Oz0N_UPgp{@mMk8^pSe7)k^20||fIb}FQ z-MD<{^uV_@V#xMdsC<0jedw7S%13d7EY1=M(Tt3H#~B%{(k^e+`D6mAXJ;op%D?|J zE=O`drW@&!1dW*|pA-3xT#65ugvBNu{z7WU%$nIt`?p41wv`&wFoK6g5O!DwO|vyc zErHzV&L zF=Of@bSeAaKJ^k^O!*?yni<~$0u&BV0GY`DQ~mvtbx!E8*nugmlTQ&mX@q4p5Rnm= z+Okda8aSGbqSIKzQ|vmR=jeHJ#wYDAcOJ-;%I5b}Ci)HWS3tL=Wji)9*#GL5B_8Y> zF{Qo+E_(=}`U>e3f>ZZpM6-6elEt{-GH5@;^I*`5JqOJeUxYg?+!i(N=UvzxqzpVy#5nA$VyV@^mH7eJ-l zKd88dW+9{E+qKVkM0&!PRPeyalGS|Fy735cTTJx*Vp)90Q zuj}Pb(|y~(H#hK#>V!!Ku_JvfacRTt^YZk-R*nQ@|SG5GPgaGo<4R|o17`@ zGir4C`%j3IJB@!N+shq{r12Nle5{On%vQYP%BSm|oThw*kJsLr+w1nVDd81WBkM?z z(=yL%gv<;iJ^;CI+0N;dLIr>*a-gxOuUY|CGnB9;=j`$eOF1A35>NAANfmiutfS8o z1MxxKkV!QGa(52K{SbfH{qxVJ`lM1gpX%41tE8K#=tk~4rmH`8OzJUkDcywZ9PvA6 z<0+nv73HXc!cK5^C4%|4D=;^pDd?&GrONN5ofEHMCHI7tyw6pF&^_z0esuA~#=@+b zyCP$<@cKrSQWn>Cn)KsGLJMc9shW!AVQjsEvEVg8r!bj#YZ5ndsGswj^9nNY=j=vJ z&UT<jDFd9bvVU@Yvhh1wyrYb@U2mDHh!HdPs|xT3I6g=MlU3IryNs!c?Uc} zixK5;Pwbrn1f!0DE$0Mg2t?)=S^D2ozJZjN(6>$_ik1KEHt(||W8g!}I=Bg{@)hO& zHB|@hB#N4x%5gtS9KS<6NK%r)z9To@6p(A)3r>?8W2ql*U`AY~j@D~VsJ?au-Q(o0 zFsEZ14;T@yWHj1Z%%MWcy7)pCCB=ym<9;PHER#cb0vT2h|GtVc#yYp#eLZ)VQZ!}Y z@$MiS6Q!!&zp5$_ZPn2>-v+^S55r3y)k__78Ow930k*F`d^>36QO9){G}XP> z7`ceq?Exg;gf@p*0qc$jr#TJrYVG#oKfi-FwCvs)RqJ%2&i-3F-J$UeMNzpX))R&G z(&zZ&#MkpTLbK)W_{1};UesXIE*>`V>}L^)<%XE@gBG=^O-5m*s)`3Pc9HF zSL>0Zwr8_<=#>qi;1XZR6vj|tWq}=;O+6LRjNPzcVAMI-o`eZJ>@d9eLDL*Vyoy}* z&a%4QIjd*j_vP3-O)y*D`0UtpCm2+r`-$7^iQB961TSOc?$Yclp~2Ine>N2KhhKds zX=TZBW;J}TOJ)1}K<%^g@%ipFZT()*ST`T}@#%&aW2`mff$M={C4FUo7k|in!Nf(l zO0=z(|49>n1aHoX(+E0G=2ht>N+&MEk1-hd$agB{M_Yho`f~)|I|=3E-{b!_m#gF+J;SYJ9JwHQc8se(qrFJpaMX}+SXT1Pt+yCLz!xx2egZH77rUJ*=i_=zwZ`Sc8} zb{5Q*66hx@;7YfR->WvOQQ=28Va2tdUQoYdI~_3(RY-t(ithX!(XF0~KCfkkP{+Jd zapCCsfV*e%7#XqXU^|Uz{QVR0k}MJQBTO(=Az<+mw3>{b6-0D1{0lUFv%fgN*3haD zfPUlCN%cJ5b!%>rR_Q6@aJVvb+XW#l?DYoaaajpzX$pd0?kkOo@^YfjyLU=GZ;fSz zZ?2S8>HCg6TV3^y#5ddx*@hYS$#{ClC;+GJkAP6rOJiea$3wYK0ar5u?IU)o9Z7-Z zaA{#ZZW6J6>Pqj!Y&bUzjj;N_rnh<~*g}WDT#0u$Hu(ble|0?h>YNJ-gTw<0CyiME zoTAkioo}$qb&e_l%{V_m-=zf|fxag9SeeM{S!PDH0rY9}m`n$7J1Y?=$Y9L{SUTwd zLOG%ML@)`z=?hq}2BYp_S70?EDnmUgBg|od*pMz7n_=LOago`+>XKwE>{!n0ZD?)q zJ;--VPM1BmLS;;{>R5*ZJEvZbIP!^I(=K zy$4y7qH5?~BrBzULCXk6XwNTrHc=4sEdn(PI+J&R-|8xNsrgvD$rj{u7FY(Pb)5{ny1xEmk;ko;Wy=-!syeCT&YBO zeav4opxQY%1^4%(C#MJ8(X;O6Dsr&5J}RnNRI(Mqk@}O`vZ!!3rxN0u@cyUP#SdwEM2*fZHT*Xc%6=N1HpuNxwjpA zWvAbl&7HPR0&P=qj)~6g?WGGZlPpMQzRtQv>aC>A?T1!U8Ok!PkJZpvPJqp#5K!&n z*{U~p`6?F3%fJ}803GDRXoH0YhcKQA8Jcfvo~;_PHuQ2PAS5S&ccNOL33#n>AWurr zZW4cnNqNBr>I)!rn5yt3k3dGc`P-09s{2VVo+ln$fl}5gD8(5fW_IR4rjLm}RY|(d zq~LxET>M`YSPb5v6=*Pf?(!uF)pQ4p&zpS!ZTsDq07gnfZn3L#ql4~+@V1Qb%3!g& zhx%9Zap-N*I9dq^*awJc6y)2g$KYhsLopgEECO#pDfKzpkjQ}B{_03IWFfseVp;;r zO?fkP^f=_3fubJo9*11JlSPB|F)?LL+^>x{>9IW6ggwIDW~{e~pq2Iz-tmEuj|H%O z?35;^tKSP5C~|D}WubrKifveA!=LZS{w{}Qs zfW88lQe`HWNzuc&FIM^t`hH(M+HzR(&sQY6yZESkz-=cbs6eL4fa+s}3@^=5dX0I> z+B|G>*AS$hlpU2sh1{!B&_C@;8_Bz4bEO~4cVfK{aIhO0R)hLgN!f-!Pa@>f+V>gl zkfB2#Z1m%rS+&Pms(_U3#y;fcHlp83@p(YanEL>>j0#vk_Z(q>>B+jxg6zQ`(Pz58 zsgM#6B#0E~oIB?NNu8+^pK8|bycFk)>P?nFT<1@%n%dOli=ukJx-L8@n@&hENF>)i zxZCk|Jj=_Bc|xx*^!NvzyadZ3#bWz=!`ib%qa^p9(_GX-!+4kPPHn`0kW_9d2;mNA zQ$fdArv3q(#3&E&V%!np`_d+cwIC}10{f=Hq+~^G7Ldj_!P`~kE}Z8eOG(ht=?qi z($$3Zuh1?BNAPH}Nl6MH8}~t2o*mRunzx7z5bdntVYjM{rJb8WarF~m`K0W5pdvTf zkB4Ph|0BwMYAZ}^k1Ko%itD?vNhNOGg$>O->u4x6KVvT0APZC0tLjB5Y-1!z08ZT!VS$oX&!H@Q4mgyYuHWk0-8VmBAR57sH#<4TDyFmR_jzIL zNfrqyCD7=$C{&!+Kdci(zcQ%5CXwnQZWkLLKNiByMs+r$w*7?C#T9rnOMxNG;0Tz~ zc_4zDoXmYK0Wzi~LTSKA@VfIDV$RkaAXHct+G~t3ARtP5)eQ0scggU{*tnq@mwk;1 zH*Us-ar<(GK{7hoy<|S6H4xIx#NSb*dA|+G-Z0`VxBcF=Fou=t)ze}ukdkIt0rK5r}IM?<(+mBd3 zBTfB!6Wk%=Q9biW7^0wO^{S&>kM2}J%}bqj?wuR{@QP4|@~1}_E^pldu_v9#4hdw- z2i4mh6T&Ma#+^H6<(Hga`?f;>yQ%a7WS^8EFR%733MaXG0TnF)$~#;x>rN~?E1xX= z%w0HJSyLGr`bH8sH0B|1k=yj%6^v{Q!R!cW=&1wi55RB}z6L{CyO%fDr`1%xmu*Xo zFRYD9QFQMqjry8G;XiV%RKjs|;u!u5DpW|EDp}El7C7jn zcilVq#L`!_6|u&2PUqfoGRjGIw>1#FEUpUrWIbjb2@3Ob!b$@Lu#3R{p|$x z6MaduNYXn>GdGIU#;r|+L|RWrfzc~^Ci^bpi&OSGX|ZV;Y#dr5?~m;isy0b#`g1yM z7tta+(OnmUWw(lJaEdc`$!MZ`_@(P4j4q?88zx}p|6W#`A}NPuhsYNPLM~JyX6XjJ zCgu=-V>ClTUTAKv>B_KxD!GZud8*U~x2k|g!lVmDB~tM&Pf!xIaHBBB z-b6MppvbCTd-rjV?$L;e$;}N=xT8ZazHKqM51vS>1 zk?>W5^acseA^B#XphqWVp^rv~I^J+>)m1sSF4=e(t%DLA!^6Yfh8p6eH(h?iW7<{h z+?oR?yV12PUD;gEyRy=+WElW z&!2b%5l9ckki(++5o`$*NJ=70YZAp|w!h4J;l}FPF`$Wy{}d7EB9|j3=Lw)iW3wXrMM_&U&Vfx7;%R zCn1z36@&l%kq|p{47x__Ovlo}s+PC$AIW@2t2o$(w3A9mEpO?rGuJ}?K82WP!SHbn z<$h{ii$B$Bdox$$KVGvxnN&ScPFB-?z^J&R1R#wS!>mtQaUm&o20iEB%gSLpZVY%1 zBGd}l3h^+ZBp>P0K$7JKkqBg1N%xXGhrWKbMBe=yg~xzvtyRi97li@Rp!G5-*P+tfA@eV( zIEQXlIRNhI6f~U426pNEK=8Be^r=MZ3}-cjfx+7th@cN}RbL0HyAkzL3*Ep98V~uV zIsds~m^Kdk;dZ(54@sTw?CmclOKh=Z&1k6(wdh`A<{-t%wVP8QMlI6rg~G3SZ-ds$ z084g(F^f;3$_5SPL22FRrsVOowx#XzE>TQaV{0)e<;sKWq0YmD3du9VkmV>=k9(an zE$sVpf7% zA7Qwp3W>9`(z5}ztW|h!5Wp~cb7cwBJQ#2&$5JZfjlg-z6k|~bByu#R>{A12iuwBwN$&kfxfj_ z>v4!Ibo=*z`VG`Zz-S8;WP#{hSTim9gBA`w@HU)r)bCGFonTQEJs3pFGtwSt+3^Ij%%md@3MU+Du zDytPpopLw)#IgVas;3x*(NX5h5mTWl5IbFFF$Jqg$ORxga_Vnu-MW-xsXc}0bh(pU z-K1jGJdoXCv-Ib`YaSg+_4!xS-DU*|X3KUq-`7Z(7wpXxX1rvVDHYNr3c^H?uCLIx zvO`5om7yYY86x`d;3AMdFa-igU*Qb{+cV_iVJ8`34S}8B{X~$<+D2uYDqgHJ(z$|T zG^f6Dj9!ult-Q}XTrSIfF2)ZZ71UI2B4im=c)}a%|Jo7KcrsvMmj!?lPXkS-K#^3@ zFtM*~^885>{rw?h))|=ScCkCj#lKmLP73nxSa=3FfiH4xzy({_pgOBp0g^rIhk5B| zAui2s5V9xzY8+ndOGjUxjf_v|uBp_k22G&9lhQtTw8Jo9~dEI|zeZ*6^kbGz6NuGAG2 zQPt@X$1076mRSePwR=W*L)?EpnnMFRx>1_LjG-XD@B1h@=n(X!pN8OuUFJ7uduQZm zyt#p0-z1)vT>&<=-4qtG?gE_QiKWE8DF{=4eYtY1X(vbaZ8)Kf!bPUC7LAUpi~QDL zjL%!1F#kAX@J;_?6<`%s^bi1!3~8F-CL_MaW=|+~HuMlH*N4p`9KT-=^~N{b-_u05 z=G%QrlGZag|0YPfIMP_6XY7eXu2iU7d;M z4N}yfhWry(ZY?aZS7+ZkK9>V|2V*<;b_#S382#B>k{zCYagZwRFG+gket)frbjb@^ z1WU-1kRg-8YXxJUc_hVr@k5yn>2fpN4TgGoyNQzNAqqCsjx5{i=j_u+_DP!9Pmp`E z|3a9nsqWwwu9TeT5FyhIEd6j8f8nK(mfM~ZH!gzPP5OrBM}P@$vHu`OP+(trwd3mW zuKE*dD+MV%l*VI&n|Lni>-1%jzpouGww997tg=3kt1M+mD4UHgF;ez@v`^b>(12&J zVX$_bH*&Bd`bb(R{x;RDgwN{Y_3c1)lH43XQ`PH#U0vvWC7W5+c4Q>)MiK7HkmYDy zn-X#bblMrPem9|6iP`JQiWCVoj7f zmEh+f)%}UJp-Q1y=Cbm7&as54aJR4beR4H!1l^aSg7(O4aQkss2O?`c*kP*X+xMPR zOFZBE4lg}6sw;-eEh9JUvN^<6s5C4qc{&%Wgy=OhZAZ=*Hb)-xh&>+9q+ZZ%NeI{d z0OZJ3h?Ed-OW*VRY%pyKJ^WaVktnv`LQzNcZ#9b{^8ihv9_rE|6#sXnh3YfdhVz+Z ztlqw}o}Qk@x*LKyHYxF5d9aZX+VFStJEQF${_!+`_%ljAqg_yEj>DBLLG-nkw|Tod z9w-VkAti-Pc7M7GnAat$%h?WUJ|tAnwXW!Z>fR7o5200GzI-V~>;>~kzMAsIfzucw zBhjQ#(4{_#Sk>l5eb-u`{&w|tL6_9e>iJnBe^yJ3I0ye#`B?WJ#BYVvB#&X*bc{c^ z+u&$=TZ)B4g(;2c#;Q!f9X?xc|GMFJR{14|Bf+C$+cye`{_X-F0=M}4FRytDoI$cC zw0Cz|GuO^U^HfwH?pA>-|NF;7%({P;S$>!lOaBZ`RE&*@d4xlafKmiB1}>7Y!XT5P zGQ|HO2pqW)O!4-4Rr8vDU1;7GG4i^Zlj5;zPNuz|v*aLJB<|XuET?Ti_8ks{lrz$KxNQHvp!@ z;ecaPF<5%Lz|3H`!uYrXL;W0_cgmnof5r~%Ua>6EwTqTBO zqRST?ejLJhk_|%qv`p4$-tfb-ds%lko{)kPS3%oLQcbbqU@YId)e?5$5VdZ6XfVpq zifg0+*<}^hfm0wV&qJ=@*4>3d-z0JsXXQUbL z2e`++vW`+4uZ*NfOdLG=LV?hRGDm?fO>qu|!kYSKaeiWK8I5okx z&O*ZtLmJs3+i0ly^F#@-3_4i+z|?b>rVA8d??)g4#7O7d|3&jg^3j(U>SccUL*%#^ z7x?={MJ;j=GLh_yCcZJ~aI<2UZXU5LIDaxt8zeUnQy$LjKwbJ|MWkxrwF^Fh-kPOc z$d73V1UD(X?mRET9j;KJ}CCP(PQY6Hh7X{;W9#Juled!?=zM?iM~Ij z$4hJBGCT>$=!njD7{>M-KDWeV1^4Yf&TO{z_TT~WBQ2>A+JC`1{dE2Sh;J53;B_FV zfLb3kRcfF+33kbI>aBG{kA5Bs4F=MxcLk01eEl*`)t{mb622uhKv#L0c>j?nEbDkZBpfXJGmrdxYE$0+IYH45=c~y2Q zFQTS$&Ce$QiV@et^ku+zacS22`v3S>mzEwHUxIt8oYKERP@w?|TYE@Ty7&qN)#>cx zD6bVU?|gfipL;f%nd?jpsHw!(-_6|%6A?XR^O9{SxHQj2xJ2#x-3@vg4JR7n74v!m z5%!^k&YpPxj591a?y?@{1&sJd34~}no3Yx%B1kbk$CBj`42ZX6c5YW|0%_8$BwnZ~~6 zhOsJB8iBseIrJM@0kR%``pH=$e>W>}4)oW^8-}E8%+H@3`}b3bWz1hck#+PCUxS2X z!Ap6jNCkbvHaGNL2=0TAgQYC3BcW=Z2|Mikgn47&$L}PWKi<(`Y4-mpsr4}GgKK7% zX!3Vjba)EiG)timL>-0;g4 z{Ay-m@_AQPs*nB9pS_hBfX+cYD&%4c6Ot4vv$MHPYk1nQ@Av-(gbZD$WB)me|C}Rp z^fZt3_8JxEht1CHzyE{!#H$4T1MzaWaL#Rq-ordSXMlW)AX=jP-9LMBq2?dK3UaK$ z1E`H6i7f%Pl2lXsNQ2z~marmA_cGyxu}v7c#~~N%C~<%GY>ZH{BLtKA9Hk)h2IweU zAt$W_42#{d`!BdCRQ zYfUni^{B*mpRv2ENHf)WO=q|NzU~8)%!f^?@C#2#MyV(Ri&NI{9J(PoOp85$ zGEJ9gML!kAOdkfz05Y7$F})%@E2ppBLB(B}zjPSFWwS2YC(rVIzZg1V2MEB(FY|K7Za38PG$Dr+bm&M<&xFee z#e8`+n(x^CKyK_Ah_%;q8lo)C+Xjgskt-=`QmS8C0qN!&)m-ZI-HuSr5LR^`_CISN ztMmFHvD=+F=P32RZx!r+kBJ>?W*;ly1x&6Uc>EqHtby(6m!|quUDQ$*f?z_1zDLmyWPz13wt)fBH*+)kU`M|0uHd*Qufi2 z^dd=%;&=B!q+`nK4Y{K*NTE4@3JiK0(fCOYA6sTWRyF2@;Y!@dqtE1k=9a)EpeGptEmjR+TD?JH228T-;Ke+E0-6| zdqtyGiqJ4}Nb`0;;eF7H3CD3EpL}pIbZh0?stT>Iw3lLKv-G15V4?(pwn@beLuy0&{q& zR~IJnXy-%&LeRF?g=Ac@7w#9px~4o)+?oS{bgW;QC7{7^)DP^*k*X^Q4P8MjY$_^C z+8e>#DYa=`7Z9Z$Ad)`i9324NBq}M;E&Z)odUFBMinm3O&!WDGT})IoA2f$uz=zub z_g@S;DU*ms{u#tp~9) zUYa@j^I8Ze^I2-J@gwN!Y0n&7^1CaHqw*A}_T;E20N^8lO|QpK4<1^=4-mj| zA)cKXe9qmS&AaG z_=CCHhhj@AMIW}60yyy|6J)Aj_FGzvT_XP0kUT(Q-ct{D;E`GeG2VpvUtn3bV)!A3 z2Fa=6(Vd`PWVXTSe^4SDs2|AU?=-G#4T|~lY+Hk6W#Q}aj?J(q3bh`D7A|Mj;b2Ph zv88Co&#&*ygGSX7+D+7S%SlT+|?xnZ%`%}HMe2fINUII*0hfVXIAWwygS z5zI=SXRQK-xdSDRE$@@qUQ;>5$<@38I!zue;r;ED1gZ-tNx$OO3>)n}u;WhD2M%&S zvkZ^B{kstmlhm-3%?s4=Y{4lUuc@S9%Q}RTT48mFO9!;OqdF*PVFfa&?*6(9KB_To)ldbaDmukMx5}=%vy7r}XK105ycK&#s<%=G?S+ z^M;>9=b9COvg*jSbBE^Oq%%+5-{uT5ym?qTDv}eM1|gt#w=(qZXe~%SdLst{*3NxI znqlkzKaIqBq;L`Z3d^>shBveOyE8z7N9Nd|y@wlf2iVKiU|F&2)AQ44g=;8*JpOLb z!wfC&RJue&!CwGuuN?!48G_GnA5=jFz4;?*0>;o>p!qxKbe1+sZ>ush8`j}cljFl`a&gCPN*o?k}txqi`a8Pf@{%od_dYI6N$n5%2j^$T5Lb)_%qI0%+{t@Od( z^r&p!H;|yPjSiYUEmx^#h2^dVB(|MzB#a&(;3W*B0oJXuIOd&^XReR;0LxH!md*35 z+Lj$}TE+rM5%V~sXaLGe`H&qAww2RK4V9D#@7x{#_UZB%wATr2Zm=|t1g5X7ySsy; zL27T#9?e9r5gcG5MEJnc4ZrIumVECDawGwMfE!-*XIm#8E**deqobx$Sa6h99=UCy z9MAHf&qoQa>I6}Xl7id{qZ@wN;bWzp5nc*#R!=&9{{c*!O3%;LfXg7--OWeC;)b7( zcjV4LJq^Yl*bOGWfzTm%u6+`!xi$>(tPRn4z})cQLvko2uZ+7wGagF!U+>yWC1yEcszAFv30qx&7u#RN#bQflcU@>|}|5jL^Gm?3P zeGC9hFtc$JMj^_~gLq0#I(Y%w+ivKbTwx=8gpBOSc#E(?V_ja15Zr-|2yd{BNc8vr zvW|?m_>1iPfEA5-Bxl)Msq4o1p-H1i@rSVw5+EK5? zbUYUAkJvD`Ulq0sJF^eT*IUP2l+_)S53>HQ`&)n{{2Mle=TJVy_c5~1v1OV_j4{Ngp3{Jt`IC}ZU71&38L0r`ZjS(JU zf>56s&pl(sEZY{X={DZdV40uV1wHzpy<@k7cHLi$K`+4gZg8LSRHfnLJBlEGLNQ7? z(1bvKQfD_9Gu$Ckl$-z|Akj%l9!MB&4FRmis&$y)6;om8;Xq7P-$X4;pDPk8`U6%a zThzlj(;5ve{UD_$pJmmWE>HoE^_f;&6(?s-$0N4_$l1&x76nz{Ogym-v31#3r&%z@ zF9aLle>Ms@Q~><^`ye)XNxf2m!3FbR@TQ|7ftoH^s9;3%27MvI)(p7z^MNIxo(Bg2 z9qQcxlgw5QFlh>BAZ-->0{#ZcZgM%OQy;nw)+CBm@N#A^W+d05% z9wSoLGpHI|Y!vX@u{}A4QQx;_hVAYc+}q^#`g+QIqqmgA)|}r?66VM7zc&o)MU$Gq zM0iggUX1=JLw7EWOAP1rh#D2_+~^mFGP^{%+3>sT|9z?W(Mtt_a?XNFx8jo2RIy!4S4M;|9`U&$$Zld3CD6P(thsZ=Pg9st;yD8qgqk(;mmgH8Bu0{3tftIGt9Wk+k4m_50rEEz$t9w_C z`n6Zu|7n&@==Aq@JAu!~L#c~gz*&jh81*e^Lmvnd+Ot)(fU~-(kTctqo_F$%$@y$4 zne5lJA<{uhuKZ85Q>1Fn>PAXWV@YvNPS-1&vVC^-CNcSdRWlDGLE|0oQNFSD*E#h3 zgXQ-^pd)xr6`MbQf!NNXO1{1T4vU!QO;l83N+_T` z#c|M^)+$WW6za%fKg~6;v*A*7-~fx}Id4SATYu`SXN$$<=DOC*xz_)yLbWh`@`upZ zt2gpf_kd=Z0vh<3zFAcuq})IVR1AS(DlRK*Kfv45%;cn@;`8Ukyt4uXHC@lf*CZO& zFj5Tu`it66HmP1xcJcCN9)5>cwlM|{bLLnGUgQrk(37Db^8R}+I$0{oo!~L+47CEC z#^fBte3_-SVlihPr24S9(u9B)iwTeRbCpz7F1Xl3<2-8Wa6m+Yj-63(j@*5;lPsI3qxsBDOeneLw&#nY-7YRgtqw8K zlX**UHu3w4%T|p3c(!Ckx<_uvF@usoXp?0bP~Ac%9U7)JauJ5zVv|nBXaBiIS-Ikz!wDcDo?HVS zBx|izS5p?Y9EI=xiE}8|hVLLdyo-Zh|CL(mRT(?0>s~*EodQ^o>pN`McPvcLQ+)9+ z3MJ_PnpwRCnwxp3`|D@gI~wb*!3Z7Ck=bv_*L6jy zzIlDQ-Hx>QKNq5HFTBGHAV$YQ9bE{`WLOmheqDtHekKPz_#L2LK*b?arWq?FV1nBK zqXNV%SG+GaF2y&XohQL!<=afi%bU6Rl`|dBNg8>pGEY&l55w_!t8B#u%U4J1D?%Da^-RcePG(uNUA&1#DeKBmo0q@=AkAG zx)!Mibb0TQd+NUSvNFmAf_~YZ*xrNiNHiP-f}PJE1^8OeMNjrt(9v2BOfdy2{xa9v z6VRIf4@$uoU$ijZ-D-UOCnSK3gAR=N&<}l|U;)ARh8?}1-`w3py+~zd@;{e;4&z`Y ze1M~a*8;?!@r3X;AV?^T$qGvijXO*=?$XE|D#W6dQn;ambp0*q_A@!p>9uP8 zni)yS*iNE5rCsBk091}|^voMd`mWY5<=G|Lg1R{e%xIG_=&TlTb-5d5Bk{ zt3af{)}O&%0+yQ=aNAC##n=?W+@kX2J{Z2r-|-RkVar)~EJl4ueEl<#SP`EhEzP91 z2e-mqNfH~%rMVmGn}rb$wC^$KxsXf>Jk-e3e4o|~c-Y7?)I=GcoQ4}i(9j|2A~ax< z0iL}#P;xU=7 zZ?2q$Y{ex!OxOkYUDK(1TQ|>JenKN=Aw}#1;k(fbCSfmU3=6|CB$4fW;{|RxlTkpa zB3rYBm{{da8Yp@j>UX1_)5Q*C(32jh*qi5Cbb|r7K(0VseA?1j$_MD|-=it83&F&Y z5EO)l47@OI)d9V4WLU6zn2Lz~MJ!7bGw8)okB}-eH-;R|&$J2G?!q**=aL&0y}q20 z5Es|1|29?jbw>=2=#Jzw^|CC}>pW5yK>F7Ptjq9Xkn?g)Aml1*^Kb!c#LqF38V zGjrhcVW1+74G88PiWnB;3p#vmtpe&s?y)2|-4 z`o?p0EEv7*ZMl}6OAz=N&=A;Gn>f6y;Y64iQ(Y_8j7naZJBEYc{X+EQqVQ0!TR*`N zDiT%3?6l++k~4&8V9awvqe-lmGPb;rhkQqgqTPsyM3uMnU3aK0(NKqq=DEalF>}=2 z)z2EP`2@*}(X$sZ7~HzYJotBok(J5H_Z6wl6k}H{Gkbs?xzOS$QN^!4T%=e1eS;ym zgLaUU-ZLN`KhI0(xESLb~j#KH_t=L~2{@U@Y6m#U zg}4ckXPRj$#wI7hGxbo~y4(zk(FtG~$>`1R4^9-Y0X%uenqQYNbuZ%@JLZ|CM)LRz z6CL3a&lvZb;O<5BXr65It{mu}fAvVRM;-VGAZHPpxjnh4i<5`{?2TZ=J&SQlK3NPp zj4my`l{x*y#oGhcVG01qZ#lM%mNOAdIpa6as?yZsE{fmv0z%c;NmdtPS^K4V+w&Ly z7qZK><2f}9sqV=iI)PY@%HYF9u4lSH8c3DFw&@`L)hx_8RJvcZTUO>1>OGSeoxuw^ z2Oh_z74SBlxON1rMe!ftD#HR zmc^k;Fdk{keB`=9Oho}UOL(|eZC=tXW!{bp3(&S}I(3!5zlJzjWi;7Y(^=_)Jc%Tt zalCac2KUqR!(zUmDHOpVe6wTVTa&50Pim9y+x3-4M#TC3tl3iEtU><*(>%px;r;DA zTLaeONx9i$_$Lrs_J^D@>@-#NpXXro0TevBoFyKv)};v4ROh{rLPpz{mprCc=fGrc zVr4bHyaISA=*K|FmT&Nt2jg=0KT60Smsv1GXF2KPd7wfAJSj%jzBXulDZm_ujB;!L}xcA9sP=Oa>zx!zU zxg1ATP35UF;bac&#_(66;o0p z7l?enZ_5`3ivJ4NYiRtoZfg{)x(oMegm7bLp5c#@{H+0+s8(1rBk)CJ`Rtwa=fp$w zjp@Cuqg39tqQEBHuhDW2PVa11zE)T26EqqG-mbsq@@z z^GD_Wn?J7ih9rY>-|gH{vrX(6BVlq}2HmRL+#F$u@(s;dvq+n1swZRlz4T@-=a*7- z8I#j0)|^$!r0(EDd{R;de_jeti0qhC|0 zEr5%0VBdHC#-LemPGpOn&2E@BhQ%2FYgWy=3yawjlyn3IX~G*LhM#!$Pq2Q_(WKrF z&0t38{Rn9=Z&iCDBez(BF&6y4DjWf%K$c`V$lVC>Gv0jG%53YU?(0kjQbX*xbhlmK zsLxS8fP-{MJtDtP4hUoTGnoZ5)E1)t9yELfMK=)M&90qwXimgG64CWt*| z1-*8DXQWyNVB`*N2-}D_-fFfXXC<$~%#y$G*44V<;J%lk>`db{$b#OGAYg-y|LtGL zA|nWmmp^_HIUHFEHt2n)uB z9Idb0{V#m8NPQP5d-TeFBc;;a@T z#|U7#evmS70V9?}BGU2t$KSk^2(|)N%bWwqi@V`ZdEJ)Z0muyK5X1$i9fbd;hage& zP6fa$ad<`Ya3CNPN%`5b&ak4#Zn8O&lmUqv%2p&duy-dTFrr^&kkU-6>o0I z&9MgUeH|VI8arSY*`Qx+a6okDk6?wgt3JTY8zeP+LP{Esf4tp#phkV;+Hbv1k(*ac zU`D%tGJCD)scR=>W0o|-#v8f)XN9lU%TQ26=A(82duVt*+HDw*6=Lw2BeAsM5GJ^l9iV|D=uD`-* zNYLDez@k6{T$g_{hO(o=Rqjd9v*qCA#}#K1YjR?TnSQwBLCM&G9aBb6QetTVe)#yv z1cvm8i1P0R`cH3*%bL_&F*`~kdgW?{%jRBRAMR#T2B{D!`tlP}NX*0Q`qR$Qqy(|@ zy``el<*~ucoNUAI@ujtK`;BTRR8-fFb?;ux(V0Z+7)D$z^K%mK`^b87U#B^Y;v%|T zmx6FiogAuJzVIk#qarLe!YS6cgZ@o&R&I^wBe-FE&z|ZXFKFsMH1>Sr;>8nRHBqn6 zGlQF!wydUpOFK=A(Rq8gT)a=kwlVe0SSwwZcO1)GKd;5T@0TU3buahD)y%DtNygoaYFVBm9_3gTZK!o2o;WYVIbXk`{pJ_n>70Y;0`W!~CYK69Iv0Lanqc zmd=P@t*tA~(2VLIq!st+PzO_g0w+y(ZQ2E+^lm1Qr#(6zF56(Jv#g{WE5(h#-0r#- z7`D52eC=0m6`Q2tiKbDA&q$}@`mWNe8Qp*;-NUp#H+f%J?~RRO*R9>`KvD%u&wFr+N+O% zGF6-V86n;cnks@PK`%OHgB`-BgkJAXdG3J{=MsH1GM*I6emSBO`bxo_MS1*CayZ>t zMq`x6`!txlOd9Jh5o>H~$Pj6df(btB*nc?8qirVWXz)#cTW+<|+Y!OM`umg7!c0Z` z10Ayo5d=C>MfLF~__H?8cU_&Hd;b4{bd81!jOSs8XZx0a^ke1D{EpH;9WfyR+R*2Q z)@pzQb3qSaDbokIYp(fUo#Oa_)N@u}jV8AH%~6I36LShmHCH~Gt|;4)cLJ;1uG{bg z*FsTGlz8~=Z&YH41bv(qIf+THsvO%-ZeE58liz7=!S?B4vkio+JrG{qSc zR4SA3tpJ%*s*4=WnXlMK3iNDtx9|ODZy1U4i@P;0(}_rLkLqbBmj`V+=|v#-y*lOq zt{_MZ>&CT(ahD-{%u{yNbT9VHQ?|C2GPYkvAlW6!=b2Ug%4~icbsg8Fy!-G6^RTT|{4hZ0w}ZGps)evt6a|Mm6>{_NOp)%VlMtns`u_I7)s3Cybbx(0FTg(Dt-9ZL5B;C486 z-IBw#z-=H){1pqs*EFQNa~lTj+C0zu?xf?%q{mG|Qi5|_?j4*bvpW@!=YMsXF;YWJ zjEo7uwW4OvC@4dg6;ko6VKvP@dm!RA6^~+T`+|zpY8q_Nn;(nO&2E7SUS-0m;%vb8naw**v;Qshd`|2Yi5|4m_$lNOtY)^c8_+`%OMcyM)?}3g|JJt@hee@ z80hB1gjKC~Fu|w0KNp^&=r3`;@@x+1=)d42eM6aQIfAJTo=NFs;ztxFd=}0=XAbTK z@+>k+4cXP|pWTbVId4%rEis4$VpW-b2tFq4Frtf1@@?k4$eowmTPi4VsvjBf8}m`n z#V#LSLf){Q9u{tH{%w|5OV`wU>VkihaQW?6w6O{O-wfunhyKjLvrQkrAKj{!g7BlT zu*-)khde8|9rQU!g&+T``)(kI+Kti<%*pRM2id@4G8IyIhonkqI;-rtljxn-?xX0P zQ1t3;SJgD??^Wy=3%xwIhO-g|OoMnUFHxhhT6A{PgR zBgnEp=aB6YeS(jEb;-G&Hh|D|@f@TMF_-OuN>%M246N6M?rwa!-zH}8V=NNMBbbmk zSMlMZCNFOH&sZCLC-4L&C=R9STxcjuYg}0}`Zu47SbS$v)cR7DIk}6ro%g&u#-pAV z1Y4E!Eryr{+At3YOc^n^_1$A_Y<{^nP*J<%c7hB$`a+ZuyuMb3TZwJ*863CnVa@RR zku~psx>wm+Dj3om@N@3k4awltAs#| zG@j4J1@Gk^&0T~T?Rs2vsb+{-m*B*iPOtZ>w4O5fh^gh@M>AYgY+_M8iY-~Mx4dH% zZN@;_9v07tx5YF}Nmj1{g23dh?mw|vLQn1RwT$@21t7pD0n06QKuk|{W ziuIzSIY1oI(at@;5Ni9+eV;(vx#M8B0YfEv^=#+qdu$!u@p<%pDaozB_)CVEMhK4< zc3^{cb{5Q0OG+`iLma_PH-gCdEF)DB76q1y|5-sPgX}<|MAF^~e^Pc*r3mO%g(zli z=!jr^`iJJh8MO0N$Y<+&+q?j~^~{yUjWFbSa$I4bJlLqXfZ$UVPw8*ThQi5*O{OE0 zrcF@dj8eM0qTjsocsHjbktTuoh>o$@vM}ThMpS^vo`r@#RA?;KriaEV@NBB9z(xfv z?m9+SnqS^!(~)o2j2cP4VUJ5bIpE-6UZW4Ol&4y4BZhcL%=zc65I&N$B;NHCe6TG# z!m9c3O;3{|Ur`u)`lUeCno2SFoot)mD$FrsLGR4*=atneolIg6e7KZ40IB*9l8xmC@=R)@$M6XAC`Es@QrINKNQyf#-2DCHn zEnigrxpodRbnUzh#OTr`;jNiS!? zqE|XOaq5Ls34PNn%1JCqMgd$+lsvwkhH(OySx~-I_rOKh1fxcbzi(b$%=~$_pjw z-i%_e+~Z_dErg#eeyg4hL&mN|rEgSI61?oHAt9yt5gFk{ zf`pVvxxFnJ!s533^=~qN8E?9x+f8!?81JHLx6S@eUtd8bd@dGY#IgS1Xn&~ z*B_aLMCo%7quwiECU;Lfp-@Fu~-#c0tOg72lLbuj7x_>uPS| zX}##%H9|m{X8^hqD3D+-wV=~@NqkwEfaLcu>LqabrJ4y$#2fCq{W);cRQG7Xtm&68 zG?PGBsKP3tEk?07e{#fI4TEblv%UE>Bs6yTXJ43Au(g(@asPnFbM~X0fs&Yf@x<%% zVy|M@qN)_$AkfS1qiyhIr01Cw2s_`*J^Sx@3`nkYgPxeXt6nDPL(EDK5T)`PS|IZ? z{MU+vB_zI$9}xXqj($eU%~YOVguEumD2p9NB-FqwsUQ$$)=%bO^_EM`#19b`e7djU zJ&|Rv7D0lSSv3>Mox%-bU^ojYfq9UgE52qLylhG%Ad7l|`;DEeC75VY6?Ed$2oSDi z;MobxMkOB-;l#$J1obKZSl^a)bG!VkGROsp*Z7pIHWg<23gmOiKZbk|KE28UtLpnN zOB!9Pi%2G3exp@3#CzA%;X68n;$bxIrlyDw4=jRET&)qv*x6w4vN&SbAl1WoGhnW> z8|#a~*0eun5_e4k_=SbpL~^=olj;^AGg9jQ?3ag_w-Pe9yKkL-y_FVv9WrEGM@CR0 zdCCcayn6@`vp!KA6K*x5v7;Y{BfE#=rGMViqcY5MLQLV)LPrSgo2&Jfh?|$F-o%QA zA(Ibp0YPnI)nv&G;Nb9e5lCv5fQ?EI;0};JEk5(?<^H<=&wm~u51Z%t!Qf-DO|X#& zP7b1Pzrfuz&qIdzf}PHP7S8=Lw)OpyNB9x>-c-=pQ)$B)aAK&EwMc`D@q2zi=HEtj92evJzV1B`A zmHi;ANN#yyVWb-^1eg0gUTE?jbNUWIncho!PScY^V1E#EkGK_{5SZ}fE9{bQ$)&0B zl59L&RDx9{7xuT@jnHW;5)07g5|D3IGSHIQnQF0dEK~s0B-B6#h)?nUpw&A;MWe;! z45-+JCV*k}tFbyDYx6nUP5s12bV1GldV;`2h!yKH83)p59>vomOiBev@P8MZ8#gV& zJl2NMm*MBLUk{DXVGoFyxGWq8U1SN}O>Pd!bMeh|V>aKRkT?H-Djq-h(5F;fQv0}trXRxI(kFSLtbfXt( z7h-}8mhly#9}PzaJIvaNykcWu;UAM7PeZyyBBPRwm%+w2NgYfzHR4L_aoo<`lqkMq zUVXMPc!mpe$@IJ=}Vm!c8!NF82Q*5Hc+I{Ne$7`7}@Uv&uIvBL&=>c$gjNzfNjH<=L!bMva<9>ja%>jqSeCRp^_Fyj$f^)&d0 zY?Ggpzr}SBm{+wpOX$ZsIxwUJvo0n|g7u{a637q_AUQJ{=URiBlhim=p;U=mxuqiO z+tawKGUU4!e~u@#k4?l(S%Xiq{v2gh0fCC=Nuk^+kBj8F_gF69*d<+Z1ll%{2FR}; z5I_7SgMB{&6~5z1Zq@eN?#?83UVpeTFR7#bs9EZT1g}jj=6eor<)TWPXI{BDhr+`? zvGfih(rPT;=N@k4k*@tYu!RPO>QGX0+S5tyII--Q?ZeTc;oTTP}w-y8kE`ymcVUEAUGp z%}pWq`9{xE)XFQlCd=V)qqYo{{hFxCcx8=DeU)XX^lviK$jh44$x&UY^OFs1(x(`` zm7hRiZDeG$L;?9BLH^~%sdWFQMk*K6_`$%@>#*C=d2cD9(GLT;Qd$+Ett&Nw%&x+- z@*s(4{!s!nU_-9~`aAQx?6lXg)mpyg>Fs)_2?69t`kW2^JF)Y}V_22z9()UkS%p*G z0vDMuLlC-JiL3Ul?K+!PkKWL*fY6p||KSh{UF;}*4FhMAxq zKCYt;dpX|ifccXp(07;&nksdH%$=W7_SbvI4kR$6?W6znt3x#o$aGAxW^jnnYtaf` zc$IhON!W?+m}@|>_^ayA2~}o7DY^q9%k$B%EoB=CJ--9DfplD*m`lFTZObNED4*nW zEwG%~3zfLMa&VEN%?N;tUvEe-;`0+ozrrh*VS*!;6a+p4d|Jna2RfH`zHP}uAboS- zuH_UA{7$wkl6CZY1~9o*zS|a(z~x3Wy`M7V7j}4Lq6fOpPzw60upSn&8Mm+rtvmr8g+^-*ZN23(!Tys;m1|W#74lh$#xWVO9Fz3b!uoV>=~D(P3$_KX<8EddK3Ey zKgjF7=!h>-{mJO~5?&S;^YCi6;DZug0y8!KsIJAl?R`H?5Pcn=uV`klLWEI`WG@M$ z&G8bE)#D(=+W;w^RoYe2i|H3VLBwS{>P}W+-pMpN_BXjkh`w0eKA>7)YJ|9{4o`8p zLSQ!M{3~8$p%eUv23PQUIAPCf^jR2~H;F zO;qZZ!c_Cs&eg_zNmw|)Y@(xklRv0&b-$S5#IF49Q^i@c(9(CNw7YNc=i7*C;SS3{ zlH)K$b`6q(K-CAq-abn)_;Jq^Lyq@aGe1FC&`9I?hLY%CZMMNR&lkIhu?&`nA;l=c zKj(P={e=R0ArAI$bscp+jk-gt>~X2zUp)wbK)zXpgJPy0wte5KtOfZ_x2$;8hcYsO zR}rLjW?U&XOp|})M_9h9RRR36SE?}FTIvdJac0Y63Ydz34MS@Z5_Z`qor1mUl_!k< zi$^v)Ha|>)sxP$umm$-62+Z(rm=BBalctEkOMREDDht`N$AlxGCsnaFGA@S<>dcW; z%GvGIcXhimgXeR&Q@#%sha+2pq3rRqeEZfs+?V~ez%|Eat4}l0hEWsRgx;O**7jae z^SP;vH)3jieB@WKIMyXeu`&;y2ht~li}6q>ID0l?9wUY04J(rf=3A%Et(rHUDJDM$ zL8)IL-nSQYYWoXNFgJplHhRj^m0Hp;2bPd2P1*g;C`;m^;W4|R+F(-NTfr#tJLPID zA-zd=Qhi8SuEK%d8a0vip=7t(Xd_iH$%fA|>JM{Q&16z`5Qr$Q!W;`)hwC*n33}V~ zTk{;@%5||J9RI<+7hWy4rxjQ__}ylo`$!(<51#e2Fenxri%YjGqLizvP*`|roR}AF zUh(zbv!gjs7t-DMTjd>G3$H?ibMee4^A`v1;2R#s)OF9a2=Zb%v~9M1CjVhhI^9tt z%_*VjieNn8LN1YxxGG;RuvaAc?13s|K)E&>AIWpGOUjTuzFfXO+_d{!Cf(X(*Bjj1 zr>ZdM0 zmGY!zZa;XGWPK1yL$O6Q$a9#lA+vHM;>!EcG)-LpjCPqq_4-B544u4=qBm^pi;$R3GXq-H{UeoIDD{W##Y@APN9Cf2pd^7eP)CqDW` zL|*e9_k;J{t+Q0io^}td2aVl61hlEBNwcPENqLQ|*#AC`COfOh9R!yHuzs#j-=Mc$peJRH$qb2#Q znC~rhVU=20+N-b0M#ra*%qF%ZK;7_0H%I-P9(o|JnoLv^z^r1MBKQ18VA}S0$J^h2 zi?PL5mPjxb9HS+gngpfI&T^3C84>#a{=VRGAbq~J7I3jDu(A@-wi9Q3e=~x=QRH(| zu$vYZ;}r6hU1y`a?Bzq`(+{TpEn#~;Cks-7DHGj;1wk{Zbu2t{kCZU>k&Jeo;W`dw z&6x?_D0)SSbS6F1KkTG_k0ISRtY#F85Ey`?t+olN0vfowFxOHWKtz#4>;)&DDw$ zVnw>cuTW9vXs_;~ZG86~rN0QNYT>k8WcvY36vwN$Z0XIz_10A|sVSr4D2>)792uXM zZlA(y&;~buL;MR6J%j5<8I2Yt2y}{UGi9<3H$7^LyJqqNdwsChovMpP`&WZ z4^l0BmvwJ~rvsp6>Qc{bW^%^XTBAsQw4j66VS^=G?0>NhD@UP7WPp-6!(CK35@7HV zME@kOD}V2|O~gk)KWrt~v}L8j+@L>kY7ge4G*K%_Ocr$@MNOWznTkLjOZ{k&trixv zZ4oZ_w-W%57`hCg-db)f{2q$T_QO90Z5V;o_3GkWa5nb-A_My5*%|?Aa*q4oBx0w6 z&*XzpE1d~m)_pK-u*qaZ##Mc4Z{i)(HE(ngnC#ArvGDKRm zE_+PcruKk-bxvM`lD9U(JV0gkRvh!4+ynIRnz&Fx=-8?89Q@OIO4;pCHcM4_I|0(I zj?|IFRliF!M4uYo!cU?Zrf=dUIdQz=>6HLuIh8JD{Y%OaG@BEgyTgX(Wezh9f zlB;a-@{eUnL^r_>S-twjrwy~VxZVa|Pebk#0nC}!bH!c6)%qOR3*CJB9%cbR9Z=ra z*#0pkfPTfd+|f&b9#8SbEV9&!TLKqzZqV)4(on_=CNn0^0Qs|K%X^}G;cqZEH?_WH z(`9&m-tq*qeX{$UGVuP~*+Kn8n*s!--6(%TSewe{-343NuS~-HfOj}LI|8|EX|GB= zU^Q;l4B>1#HZLSx=%31j&M|jAGeuaK-33U++{gX#Y2s0<*z0iTR)4@lHA(L?c<4$@ zEcn*%3#Rw?f*wyhS0|MCS1^Z(mngJs48oF&i`Mo(fBu|dJ~U`{-NL@idzlpivWH3) z3Y(SsE7$rlO=f^Jx!&g!j*dXu*`d)A-xU+wV-}iH?ifAdi$wAdoKY8*fD)U>&A%i>h5TOKpMBMih2a2B~)Ug+jydlt|-g)4fpBJYwC{1#YRtwAD0 zyZl_CZxr}lJS_u*4A`O+t$R<16MI<9bqZbJ>o42vG63+P7kma#h!2~$AfhaImb;gY z(ngm&r9_jakG&ART}nE9aa%lT(_N+7ucQ&Q@9Kh(52$O6ZpS+J<=beFa%uNUxl^?) zBr}hcderAFTfMz5ZkeDjWUzkis#uKs=0V2#Y4Ht8tUpv^Uyzsz(OU|I+CshBz4y^mf%#NFIC7auU&Sa2KEtB!*7P4956Fp0N{Npt&_Cdus17bV-Zc06-W2SYZ zs&8poFa$Xg7X%zqN({EneO7FIQ8&p~4zd9^mvUbAqcrx4m9jB?zvXFn=Dt{k=cI&D z^*FV@-Yt*NLKlu(^QIP!;)%Ck+e&Dt3mrhecMfM=!A0dOb6o2GEp48C*g#{Or#ndQ z)x4nZbNkv8Nv}uJeG&=e@M_DyR1S0By~+HCh75Rl!)P6jSEFgZ=n1cz5nZK% zRw`uG1%6{arGd{nZw)tb?HK*Omss`qJ{0n2xR4@6-A@jH9$wI+p z4nsy|i(c6l$v)GgwEbh#Qk*%rmxHvAmSNh>Hd=aEt(@@hMn8Z`rIt!`*^01!e0Tbl zd{kEz08g5=$j;vCes)XiOhMVqt+~2buudJWV4Z*~hqFVAWb)d?$HUs%fJ0YFP*2+sIna-W zEksdIr{l{0xzElYBakM)G~uQmQvRQ26|%3rN!F`w70@0gZLVg+Hc;UoRx87uE+s;)q91lC93hg^PQ#=pX z+TdM;hZ;Kl#s$PEz&T0*xTPRzki4{%U9DEoMSqiN;^z=D zOK@iT6Uaw(ZC@SLukvWdbp1e=FFdggUhkTkYu!40jze_cJ}Jw(z=9@P9k8;WcPaK_ zrORegO|f;lMWVJt2kq3_qB9enKn%JJ6tXG6aY6&wWL_fhD!wKOjem-37Xv#jFud&Z0a&G;h^*kqM~F zeO;$u+sTYW_R7$H!td ztz-ZZJ$7jXTsB)&*DlpV$DIT=fDlGeOwx*v!L&KdMoK!iB-rAuH&lcU`jN#g!Q85Y z@n(rGQvG5t5)>yNMAb&VUVjsb6kAYP(EYm6Y@D{jrP<&x@sp@H`0R0=b%uTJ^CkDh zB1bG-VLgUtjh%)1I`cP~0BIwnMWI0ENDGV$Xpjp5M;|cpDyc0Ei&;B(I{l2(OMgc8zUMfzpb zstm)X6~jVKIBqf{Js(5EM`X%l6iM}J_V){LuftZkQnXm`Z|I(g#0V@)C+u0vAV#Ec zWDC15{byd}VO)!^mx@)hy>8!uyC(*fh9jG#%BP5WhD-*Pzq(DUk5p_KNZYyB%gRN! zzno>_>(U2sed~ZW7|0OR5l*lfPCZkU2txTbxL+)Qxdi^iHgg)LoG7>Th>XTmPSShh zrt-!J>j!NTDQ0(sYtzS{O&xU>7ngEvb&)b{pg|gGn(|326-~rLF<(!U%L6;Y{Kpz~ zfo?KEyk%7r@LWVv<^Kjm$+K>Ow0i#6oB6jy5{_6U$o>9KX$$7$dHQQWh6MOc9^b=N zXMfjEV!2yi=w-gTrS;0qxaA_k7LeFTQe}T#pXYgw)eKTpiXbKqN15EZUoJxMH!z7r zK9so-#G-*(0ZdK7;qy_Vn8(Pc#>e3vuDGsnbbzhk9-euG`hl;F43APQl)8+$v8a3> zrj49SD#v>X)W2@ zXG9ks&ol`_Ah>Yb7J2PVKveEd4h9>{9kw3!fJU~vMEVkV9hwkL`$wV)z~>-UFnA{> zk+r^5_?LKkzgXZIP=cmp{a)g#jT3D6=Y?aIDfTnbHfqlg@?K92j7da}9l+eZYF@3! z0Fqy@eA+=)V}zPJ=E2cYG|@)@;i1IrLh`kLfoLJFq14KGigKJvWu^0X1ddKm;TdM>!!6YD%;33Y_Cmt_Y8VEx8yvtcZl6FXu@z}`Bm7~7C0KUYk2 zVr1A(A6%LKHGb~%hVj^9Ee(Eb3fq8|kU3p=J?X-38J%|>u$&(0n&gBMJG?4iZZ=o= z2P%AH{IBC@>1jwE08Sx`#ndVa1F0f4fxgG#`$rMz%c}1VG$DWL!vT7EzKA7L?${J~=}@6^TrKQgqAEYX6r+iu0Wmc~#3R@pCo2 zs@l-$wmpxaqdg36mB?q}NuFDDfQ#>mz-HZplW$$Jpv(S~C!agp2aZ;RbvJ6qJR{pWV zt$K;g@@hO+)V`?(s*o#6>+sC{EIaGnx`INS*4EAHO=#3E!>VO%5j#*DrOVEbo*J0_ zjC7Hshgdn99*6*}WAp2s#ej&mhyz%i0+mv9>;|KH+CRMC*VZsQDLnl{jHNe`y07=) z$wvOCLm5$yTmq2}I_o4q*0Go*dez>T>8k`xuw4Zao^_DLRTt$-J;1{CK83{tCcQvy zy!f)0ch=)h=x8KTQ%*L;1XcJEVIkc#8=8!SgkFpU(yo-E)q%$~UlY{nxzbcQZRHyA!$POwR86ehP=VY4ex^F*HVZ8iB4d zM-_@30&LmkFIMa5CyI)hq9jmUz&DMFLBogQXP>CXe~WKbRQ1VugIAMwPmY$Nw(H z@eZ<gIBx03uF1ya1hc{5 z4f*$6LQ>1rcg-iB`X9+(CHPQW^gP1=L@J8-G^QwVn%*I!_3+rbi9q~6eyDoe&-C*i z;b=NHY`#Z;nt58i7>iN;WJx$OHUb&{ON)$OvH0agrbqFkY1kmmNPYs3{JkV+9$buk zHOuT};!%V^Mxp?%=pq&r5^R9)Sca8L1z?gv42(;s;F2mH;E7IL0}_x<$qer$rpF8|{I?RZaxFWv30edC<;p{CFaXc4On4DrTw zg(W~6WQX3&xFq7%BBe0oe%JF)#`vWn!{{OJ)dbu0{$0q?+E3s5=G6bxrQ}3dstYI! zGsP!(2{o|{eaY*nwT&G*AmfoK+kcd0`ZjqEweQY+Es-2yQ7(7LyL9z|85!ZY*^Ht4 zC-6D9I@p=M1WD0J?|+J_ubi)!efh|6iQJC8T3&D!=nZI}82UuE)E*?s07>)M+Y9Dt zD?k>i+GnOq5Sdj<271;%QeYKLGy>2(^5!x6(VXhnq5+Lew?termsuk|QR0c>-Q)?N&bAFui_fW{$2;DXeC)vyow+lHObIts zKoxe>6h15oLeWPqw~f>sL;nJx&rqU75i zpy&~88ewgF<_oQWBgzE86hjio_WP{;fyh3}`y)_S3P1awF-ytf%`gPF+^;W`OJHDa zB5)eeG$=8;(_^Cx8q#jN`C*xsfW1&=?GsRDM-ovhpXx5ni{r*xhDv$;#2q;8C6VUv zSrEKHs+t6-SVJYdnqNUGG#t|VecIsUJD2>;s^tfjDrve^${q{&XMC>FuXNI8P_MhL zUL?GTDFnrR%6Aw)f&;*d2P7kl*1@_cdwmV3cK`%k{Rr<0j=ckj*;z0ylbuLvl1>k= z*1)%sgNdMn)T9ivt417gZ~N?7#j4BcqTE?-1~7>HD@q48S+-!j@opP^>mwy)5brdNQrQm{RmW9&FH+y0ZO2(RYzq3kMmp))9n-c5mx6 zP+D%X{ngv)$4&Tvvz#x8b_wWx&;0~RUP08a_cS~#uDc6T`WUXD$7=GbCTIBQ95oad z5jZ)G>OKh5jf#0fWfzIt1oxxfz9vviuYn^ybYDT-T(b}~l9@~b&BP4olG+8csd~Z0 zAU2}ul9@*jNB^Hou}_d+V=SPS$HS=_*MD`h$Dvjvp8XRVcs!CN_Gz%Zc}waDyx(Wv z^PgYbSoYkEL_RT&Qh)Q{n;AIrhO(1@bCNVOW6YA7yUNo1XwzuqE^&j&KloSKV0$pt1!F0KiV>oCD#5jAh+yY@*`0Azr*IE(QTeW@Eu5p#+} zuf+^7bq#+&Ef=_5^l!wr)@aXucg!y<$Q^ z(1@f~Zr?dg0c>)I$>wWSP-PoA5IG4wI=Rva

WGz_HnQ%vZzqKQ_oe5lA;@q0z5rnXSGfEG-J+xn z(5k05w*nftgeO3KW~hwzbS{Bger#@TW}hYr)p|CPc7VlfS-4}CGC~xTNR)jp2I1S) z$O+>GFUPSMH5QJt39w6QKe%);>PNHKfkmKWKG8D+XAWIvGc9a&3qMvL=`MO9rm4Lr zW-PkS`iIJolz^PaSa`YsuL*|yGFq{cf`?vJI=(@NiI*UJ3hv&mYWy9`e$ z|4L;DXy%|T0Zy12Rb}%|Jh)V?&e(54NU;pXU1^6kL z;e<8N>Q38y>%HfSI^fuhQ9+rq-5q;C}Bk!3OKFQJ_f!Q3Ygm zzK!Eg=-2Y8h|x1V90*yY+NP=Tc0w0L zU+~aO8P1hrA(wDN=Elf^4X)v_Xvec4ls)ywdqC`qy03G$c&`MDd2eI>`8>$nmkGiiX^y-UW9i&3g(+qv5FE4zfedf^AfBy%KPc=A+fCQR@(%MRdNsyFGN zGq3)ibag1@FBfrdPi=Gx+x>_T7q?(^Kp)5;aKz@y$0J8K@8fD&LRbroYL5@2Ru9Rk z!VTIzH)T$n4DlCpKJCTW^?l-wW@^KL0wQBfN8<_s$b@+(dYFBIy@l0W-iV{8IiJ?N ziKhKVQCV48O4bUP>>fXX!QT@W6@`8}TmK}Gbv#;VGDimy<&AAC*rHaBZxpTU*zI}s zpaRl{x$#v*%6o3MSAwSS{k~as@?$=CM2Rrm4YXpE1sWT&ul-p7eShh`;>?^HA66uF zrg;gEr@n3*9yJ!s5*mKXj3wUBt$@03B!7yeZo@@QKjV{b0Ft%8O4Y~jd5kW%f!>Ja z6mI>xO`gNpBVoqlg&!ZAl6Z4dyi>=Ui24;acMcFjuTOaQucXh%S74|FV>?v6jq4{z z<=wPpg;?=N*-$g{Qv1qqZs%)+apx4P2|cwF^?q8`xb2#&j~uq-lbL!S#lRCF-~ ztQ+2BcE4X7SxaXa<$QlB5*yDgLnvw2;p>w_Rtt&4-dRO7v^T#5Mqe!np-1E zEJ9PR|2X$q`0>>z#Ku7~v04Vex>S{3C3|e%eTAz1n_Qb;tZISFL#T!|R3F zvyXc2O$#H?sq}-JmD6z*RQP+ivua~gLjieqmNU@GlVGuVVFX|I-rjv}CPs}259>0V zQGiU&ea5{j&53+kEq^%a!89<~`TER~37D)W1G52B;*dGX#n&Q4RbE-?)eE7Gk7f=k z6pu2(6fSpm(e9CtYH^O<*T!PfP><9>dYi^YXb>i*+*EkURaSStHu&bVD)Ei@uMNX? zlinRscEPfq8}7Obx4Co>Mr!VWKa`2yxRLl~`Zp(I%w!i;|*7@_HK8~mr=r9n-%?#l`-KBWRKq8|Tf}%c0 zqF4Vd3^^4$taN>qgQ}iUth18A`+aJ|BiPA}GP)=#M^Hz7qABffKHC9CDl?QDp5Fe-;hvNtkrqF+o^0QhK=lg^ZFzKDE09s3peA``^z_!e z-#(JFRp5B1T@BZ>r`5PHXujFEC8Hp0cDEd+;VNmNt6acYI>ZYwH~n>@ie2xmu`C7LT{PY>KD0bH?|gYx2W=0n2-@_GS#Nu6!6d4 zeT(0@po4`^fUb!e6h&Y4AFuH5BXuXYb&%fg2Sz@Sfz-n&);}Pi-&xvR5?sF%npgL{ zY-fQ>p{uK<-}i7$H(x(LBQVLpjA%%{d{NNvc_5gRm3nq|7P~D6VU8^W&836u=90GQ zeVRDS&1bx54OB6mJ#=q@U{4yZKV;q<9L3u zbK+s#q7@GZ_PJp3eqP_Mi1x9Cqh^y+h*pHha&kiPaCU<^gL{ow=1-TJw0>~@G>DR& zw4v*6U0;UGxQHeBbiEfdZ-+3PPL26wcz(0@IC!wEHZN)VucRzlU4jXJ?2ip*xK7=_-+J+Yx;`GSNm9nxp6}FU{ystM#Hb*IM6Wn4}KbM&tmE z22?wrc7Gl^=%x?cC1-chyf@PloL=fm4+-@#1BOXp=6!uP5ZBUD|1bx6HU7;In6J>2 zKDWmim7_8s_a{&i%r<6Z^#yjDY3rbG`{SJrrvCxF#m|pk3e`$~YCHG+F&4uuZqrLQ zfh(>KQQsa=Sckr10qR5pu3fzUUB;*6mq~ZJY$(eC$8IqD}l(mcA~>7d0!$X!Y;2mzD+jb-w-Z7ZerF} zTTn~A)r;5oiW8K}$Zi7VU*+r9$%c;eG8hvB|Bk7i%&{j~MQx*hyTe|v^*zxwDR2Ke)IL;u~;v)!~XF%g0&POnK=8w>X=KqN+?>0}zYd9XTDH0nXY z+&qHHVUq^U9NG=y)QZfZ61*HYe>+?XqpHvdEEW5#? zJfkt6_p?Mwj=fh-c~AOYz!<43){PliV_lNK*U3m@Q~Pd%}_y0->&f4MbS)hY>#M9$1d(F;9lzRuCK z{>vfL_Y$V5y;XlSB&aBAMk4pSa!M6zu^Q!u2}w-7>H!DhUQdhU4$|5%@ z{6002po|{c^#M=U^*^eX`+J*-s%3-fZP5!Q{=dHO%zNtftPor_#X;W+-0=AVJ#LA`@%*{-eepJaNjF+iz4j(~^ol*8lSlYn0cY&MIBz{;?OzF4R)**5i$scV+-E zswCv2S*)eGo#1LSf~ZE=qAxt)$HmOpFd@)-u7}3;?31@bihWE?qc2KlCBQ5!Nv{_R z`rURf;?DnG$RV)IF%Z}L7r}0*T6iH>Bh6j7TX0|4MOK5^J)@{jUAoio4=6Wpfrc<< zPsedD782Qm%D6P3)4os#+70gDMg~~L7DyGAYx?mTyo3VXE20;8p<> zfZjXJ`!)LbXWuxo4Q20C%iRFH&~x-mS{#lK4E~AFV=}r$T)77pmRSRvWTt1q0BDUN zUW4ac;;U@mGvg;e5IcA5ET`ggIym=QYAXYa;N|@{R^7>l7n4fxv#XH9?=a&nEuKop zu~h?YlG-Z-rQ9S3dDO1g?IxGv!N2YS`7ew$3lV6B`{mLTdq7dC>khs_-d&Mj?;e?} z-i+YHiDaqecWFnu#2crjj?#TdPNOMv8bA{pK4BraUd)$Swj;B3pqN&Bj0_y}5+S_1 z`Xx}giQ4~#H6d<-TJ@0jcU>Etg-M9H;Gs6tu9|4a$U2~j1d^?1qib=_p!yYs4<`rFaoyIUdBu*Texb^Lp_&I_ z9c8O6dk4$$X&=;s_={+R=L>0x(j>(uT8?iGKaA!vs-?tXtpnR@5OXuZa-f>{i?shr z;cfH?SMi}33rC(3b$9j!GWo`u20Z@5J~3^%O)%}jb`5DCex0Oom+%k2iv^Z13~z>y zBhYEaUky<7s?3*MB9IRhP+Y;o{!BzXl&&r!k(8wn2=0Yh)J(Fg*REzycw8w!%*|C4 zf<_x4nO5MaH=|U823gE`p)1J=Ug3yZ&N^8Na>CW@B{G*V z4Jn}tWnfM&VonJ3ENJut*{CzMHm9>3&a*?)-UI;Z^v$LeU-sH@L5%o^CMU0)Rp=IkY!D66&*0aZ`Cb-KmYz;sO2fB>gg=8FKc0g zs=lhihQ3*yW(cqt#BF6iZnUGw`=HewQ5!&b&CbBiG1qV;MMlZ z+4oeI>X$Ml+2f}-$3UcVA{?F}`zm{S1Nk{X)Sn1N6p1ZktMhkb#@Y=f_nsCk0hkb5 zc0ZWNH}HXFr7hk({SnoOk9A4Rx_#}%(!Pc&`n^xwLdOOJ1o8lP_9*>whCVtU^7TkR?Q}ahai;d_hO$=^?bhHH}Mfn0OY|F z^MiH4wA=rgvx=%s@|G_opXVB27c`$e8qCTx*r_;eehAw$xLj*YJ=2U2Uv&@g`RpZ~xP(Qno+C43 zg`RJ`c6j>G%ZBq|8=ssh@SY3NnwMbP_oJ&R^~!8U(Ej&=3mUH3)qrJt3A6~6XQ?*K zxvu4axS!-3=K5GPq5AigYnw?UOHg=;k5LOk+<{Sdp}D(2IQ zLmXcA*A=4G#yt}gcBHralE2~3n{&;6YlLo-{y)e>*{9s+Ypm3;(!oi$4qHv-C{A+T zSV@j#&lI8mjjy_BKkA}d{|sv(MrCZCXkQHL&EYFAwlM)&DkJMCGt{yBe5X~SF!g04GlMJA_+#{oR0~58h!+Yx5_LiO zFO0hmU`A^OC@GR@wTzo9J!YlV?Lc)Gx5G=Qw-E&kuyL%-TO31@m-@-R}0}rID5vVC!I!m$~Dm zC!z?w7cY)jyK%#X&X85vG$_!LnN0*C#6t}-qVnVhOn{KX2O5~K%A&IpY6>d(meI6OcB&gGkOfJT{N9n?Vg>f>ROS|&@=w{0E}d>K&h*|LYqee z7@rD1uGLIy)JP-z1Vi061CSgEmq%#RLCp;?v62hJwkvst&Bu%X4dy|N>eUB0`=!=B zcee;Ty%G!$KXKxTAXXL;3{^Ps7Ewb(Z>Zi?h`{E}(<7eP`q0JQUd{c&o=(}-9dtY% z92L!cc!``6M_~D*%l0rqImz$`NwHLDbm`Ki$z$0Zk>t`3a)Yj%GzXw{lrlfa=X}_I zokPB?P^mG_p?!O4uT2$zDlM0Q&Vdso%Mll&G;wli@T1**)y|i6HhlJlc^e#pz4#xB zLS8g1L#y2q@ZveSXm`uvKlsM(mGbZka1O7BY<{@*Dbk`!?AO~(X)yaB!pM&L%+HH* zJTEZs5;XMtr)MM{s0xEdQ@Bc9R_XBVw%#6;bEGL4dVULfeW8f#Obn^JL7E*Q&~!Kc zsRREQIB?BICg!cz-*}2_e{ZW=uhhKAFae7PO+kl|*B%h^aVZMpV@xMkxiMkR@uxwg zd}SVI4p5#m8@mpHQCI%yMe6;j=fc%`Fir(C;6!Tf%HHUydeUsCUI^DFQf2~#MKA<$ zn-|3?%^c;IbB&!QJ@2DuL%a;13xocK6^r>quIAFHwhekkQZE!ySNECEdOs%yrQt=N z4i2p&Swk$ehxtATf%p&VEzonIyn#0RXb+%O7G2kzPb{C9hf|akO-<`^Ay95@Jh+c^ zcTJep<9u5GMmRuNQz$vbZ{jE-sdA{=qIZn}hvS{8F%dBLxK0~WcXV$#R~15C%mFcp zN!ShLCMu-KZcxRQP&WgpUa5V^XcC1@wb zfudYeP1G&wWpJOO1|$w|E=P5X+oG@au*pMO8fnVa^thFEm$XbLEKSZ|@2INd!{vxKa#5`fjOC-C!?0w{>ZgEm zT#q{k`s-#9r&!?2J9H7Dh+`1YPsx*DimCiQ%p_bc@=LV4^ho+J3P*0CducA|UI}P+ zW1riHCrK~sgp^`4o``bv3ba>aO%j(T1EhA_*_DmBs$DOBXz`Zlt#ZViQvW07SwLh} zRrnx8a@yK^6W`h({fyCVFvXQ6Z3p~-NEzi38e_3OCWg#uR2=iv4?*yY_NvrsKpiF; zpM^Y0rAbD>2!!8(x_?=e<|d{IY&MIacS1cDbwC+K)MK%u26Uo+z~C4#>4NgU3hn_2qhwESJh`*2;>o^vSpgZ(iQ6A4VbD{5Awkkr6(mNc(Pa_EUY=GCZbeOH*q(m zJAx2(Qg*`8IhF`l8>6fEH{IjGU{2@dJHCM$iI0U)rZN6cZ}rYRpe40>m``6aCDw6W zj%Sbd=CYYA)(U6Dxau2$8Me8;7`^Bl6ATJD?J3OdD_Zq4w(;n{BqDVhLDLjEONYtg616<##xw2XcFo610zSuln2Nb#B+>hOk zA!l~E(S>T2U^Cy>!~fQMq0Rx9=2K5KNVHMocZ}AN@&#}a3%vk;<_sKg8{Qkg`~x(k zU4F!Ns#+CpT388Z>viz_UaYw6<61Bl>m*XhI9kU4fhj>jsDLlR%9e{7zBhMR8jKJ_ zecL-}2k`T3ivY{&5|B0xWp`QsC^3_q+x`mvSe@M&wUG<_(E&o7lH1Rjzqs-G$I@EMvrZh2>X?J2m0G5-EEnf?8a4zK6c<=o<22A4s)RffnZyLui2(}G zkYj#QiwvCfD$&KQbZ!HzEX-0D%-*L6upqokKr+QsGqFC*xApk~r3!t#tn%VjHc=%d zjpmygce=)JO1;0|9~su7ht^h}`ijC|8 z_=zE?ZA{pktStYc;JFqrp-<;Kym8J|*6YcQc+N?Hei=_;O1b&}#$7ICXYaQCsq{_O zy5dF7edf3rnQT7O&G@Wu8P^lkIv-RDhzQP~POyDMv=eu*_zqnw2@BW9n1Js<5W?v`E=V(6Lfz1C4C1bQxUoJlX5o8F z;V>iC^jgpDkZnDkxjTH#g~+L^P_74fqqDQdAD&Du+h)khmBtOvQ3+7=R4GSwwq~Eb zXA-%t%Jw1-9KNpiU7odOb`i8PzbH$)EYwz3?bU{vr;nhYll;O@^W5L@XJ>XrLM}Ct z6K<%nrySi?^0q66F9!h1&uv~If?3sK>e$}^X_b?LGv*77`YXMojGrO7OC0-Iv1A0S z=L7vtVMpdG7F{$k)~5eRG?3b=;j{zqZMUhr#`QGz7={@Pn3H(aeeSbG9FV+{wwlE! zbuaHmY%r#~8Ump(7-!ptF$Zb&!woM&SPd^nBz;Lk99_o^hDqM(PrOa0sZ`4=N3AfK zO!DP^|0nVW2e-%iVHYYFe~ZMpTHTpfGsL8S&OE9*OO|MSTCMIzdeEUoJ-U07*H#k7 zcT{^Fm0rkp3!Ik_X1s<^&RNW(b{1RvM&)e6jx+i`4$c+@h5IJ@fc|eCjFPh>yw`-| z^?6zhFXG#uhlo8~@$36pfGm$m4K$^Y(?FO}}sAA|@) zrnL9%CV8er6d$g2J_Iszb9ybBI!AG5qxBL1=R?_?3wz)a_=G}UPpEl5spp0;2 z{FU3>6G!lWo{>{DQ`51pqbuXwL@7M1w$?jXo0XAo&HC^sbrqX)bV#a0s_G}DbK;{E>4bG<3 z(fMepgy@gqbMANox~$Q=4Eh-7Bt@O&ZU80gc>1#5O5Iy3YDWNpoUz{H`XEr;WljhP zU8BLl40~1eGHtxdIu*O3j1h3VIYnjVX!k#g1zp5S8g7YN@1>8v6D~I9gNe@b{Y5S_ z^qdbIt8jKvaCiECzXCcrUgd8cYObaIwHU&Z%6AJ|jE|Q_Llww{qe)tW?uH%7?5VC+ zCiUj&A1pXh-RaX8#XpF7nt##a`RTq7g6JO3zsun-wtFzACz>X{Gm$(37X~&DH7?49 zxU$4l#_8e!p05L7iM%U#YYQD5!^K{Y7Pl8YuXqFK1U3NhnFJBBQct@wimln-Qrqnk z1cDF-yUUKRb*Q8jJlDD#PFc15D8Q^NRfb5lPfDqrSrx(jI_IP^sL%PFxprOvO6|_= zT(Ad#5ETA8?)+hgjSKiHWXoJ>a2+N_IH*d6dg#JoVSn$WHXU5TzhRGt4_vMBpr05| zm=%G4r%#Nt9tPrkM#C}6md~%Pj{ofmhNG`ySvi>7^+LkS5ax#hfK}H0)MoNBUgrQ; zm-di;1PMUTUM48zv<9mPMxUJiyL6bWlon?>2P8YD`2P?eRJ zCSvjd;5G{ga4L(DHP9=gfKF28M897sBF{LIWd3o5rpDQ<|I`*-uiIVrYlKB)taSO} zFI#UB)6FaQB1F=Kok0=XJ7Ra9e8z4?#C^~EKty&}GkQA6*uRMIbGl-i&snApbmGbw zM{Ve@LSXoDfJD9X=#R0bt)86HmWHdU-}vrs?|thJL3D2}y%Y5TG9Rbi*APUp&w8k3 zs0)|OlghijDqlPU8*H*=b78s6cD&I@F@b@aBY0k^zCAi7yZtlD*2UoJ zx4N{f5|soltfT#1S{=_kz$=g7&hHy=r*{$U#p{$Vsj7kp^yzP9AI%qoY`NnxK{TlA zjEkxanS{`JmXZ@EsavdA!z7yUE0OItf~*Z*Ljx%PRJSg>wQ?)lm*xyWtAaw}HV+Fx zOq_>>dc(nJWlD^;Aq9RXIQk%15 zMW`tC#Uv49?td}Q=6l)h_mYsj6fO-LlWI!v`IL?PD*d4@*m?hhjhrZYK5tnG#Nz|MJ3vd~&vXah?rB-u#;j6yP?Q-2 zU5zsev#{~=NMF=11yty(pZ48N-kg$=|Cp>MR+}WzfZ@pp8TYUu>{3Dj^zj>z_6gY| zQLL(Xsz|1znss}P$n}>14V#Ji=wVmNY;aQF2tGBJ5Sy31b&h$uvuN2TP|?PS6GZ4! z#FQ;SszrV;E#XdOQ!z-tf8D3jl?clnxCU5|?rgh<73NPP30-NvD#pmT=u&n7uAv-c z-$gMi@y2tX#Z%#sqWwUwBob;%y*`RfmKzb=CZMLQW37bAXHN54IJ1@FH1Wy1wbCN5;}bfqm) z%5K|1N{8KicS+#pOoY>Z86fbmN$iYS;kSNom# z9J(Id^vh`w_P>Jxb%WEV7lfK{WCNoQ=ASwQ{Th{H?FxDb56~FW@rC(7zRrU>F*@0s!^t=X0 zDmvB*o))J5jxeU+f25gs4}?92OOwfNMm09Ve;b}Hn62nkz4VJ-fv8zQ=x&J00tG;o zX#UW9)wj`_Z;>!7E)L=7SQ{qX2RQ(($SCnTABQZr@s;O`TOA*d8!Gp_%<(WoZJ;!7s+SFoHvQo0kXlwSB%D)tgTPaaoQzN1!MEeP=PA zZzYHAc8x7YC-(;KW|r%(xaeom@y)gF{nE$pgGjP3w7rv#*&~z^8Te}q9iZ-uKr!Bc z0#6V41I;4wuYby_6@{Np89WZ%xP7T(jXe!+jnG_B)L5AC&jt$}qB+w(M#|48`zZkx zeS}jL|A6b=M1V%`bj7zyP|V4Dg!rtdJkS(J{vIQkf!AM>wNK1<`@wA(kGpJcXr8{= zn*PumhK%5n_dKnR|Lmymh$S8=gIw`gFnv zK!`yIHGb|0Y=9wU3e-d+dxgVlp$rs0P+3kS;rnJt@L)u{bWipk=rpW;-nrrtMdHEK z!K{RoJInl(?|Xs`<(g@^D(a78thvL1RpX9IyuBL7uS`5rq)QvGxy%6P?Zu|-TYZWB zOTj{aD^jr>JlylXHQ_<8Z8;DSnswj3eeTEI-m|ZQUxWSj^0$C8$i{&}%23q>LtBM= zA2`9pPqasP@?=ut+*|D2`*Ww`9er?JnMXh~#c;H(j@ifVVXwgJPt@~ZFI>i-K#`-D zqEsApWgMf?I?=G+8@E(U*uRgxivQuR3wje(?W$ILUo3UZ^g|I9y!EXn&s&xo>Ot#7 zy5QP7pvdEx$vDcV9x2n4&jUIk<;%$iC1^fp%=C3Y7o8KSC{f4dbZ`S?$QPC3u=cBTH)alP{}2#396r%Yp$~J7{4<5?u3csvRE`N*ihuN+~(*uTe|P z@Shu@JQG?eH&Q6u+TbyzacFLG4-EvgUotDzX6iA9h(^ptUlo4|#z%VU+`F6>o=80G zz09&W@xgd-)kWl&1Axq)IkWU~YSlH`!irA6g}c>sh`WYQ_hsIcJT^~ILqkHlY;Uhd z%DLWgpt&cs4vB|wiJX3mR1JfHLS%k5C$(z@Tc(banuGat+uYNEHh1pgXWVbrS|yy( zL~uv#eQyb@^;f=mWNzZ5*n7^05|?`_vi6F_Hb?L3H?2TceR6y%f&wqZ;x^`dODD25 zDB9`Cn2-LN0arAT$+Qy}P`9{!b>s$k%qW3T0uXw7ZkKkP@D^aYLZw}b&Y&->HTw

GpjkiZmQx<4*Z>L8&<(&mU?!xFS6km6s_V+~e5WG!{0b%%;c^T0gHishTw%#D zpag%8g`eVniB!@q2GB{>Wv>_cAJ~9q7Ar36GyzYdK^N*p-26fT4@0=w-R3f(z=bnDM!Apu5KZS zQtcy{Up8{BHR|Er{2)Bd-b^fRegJe1VpUn0p?TfKqT;e>&BD>bEhe(w`lzo7-^?0p z-4Fj%y>9)yVWaPm-v}If@i~<5ob?~eSD?JM`);S1gxgry)9R)jW4eJ5={q)LsFJ~^ zjAi0d@`S$*ul0rHls|@k{Y;f)1LBVw8E5oXS7knfp-5-v?#hae^%9Vhy7+cva`Tkh zC+f-fb_R{LHbjRYUVHkw$YCz-9XtVjt)h%d#NFYKb-02z$lVY$G)V&N z-_tp=>b)^%k3B{JPn((F9i)r`ezo!ttEQGPX2_DJ)`L&qmw+5A7P~?I_*@;P{pW>^ znen5q7bNdMCbvh+3R2O)uBOW^3pHf`*`Tjls-Os} z51*pQsDi84dZ_}OESOrQJhrWd-n-1k2*->8U{iQ|N?T@<#wWQ%)MYSnS$%OTM!g!% zXswx;u!6A*;m4Spc$?M89*n75p8?#rQ5&-OI^wSa-s_6aEuJR86GSii%cExV>0d9K zO6T9Q#5*QN`)QT=R;N3#^kSn_l7&*zWrvp*`&55>HZh?VoMLDs*a2(Ey zb)eNk@Ha8crW4v5v8E)WPPSrNh65J{p89ouyoJ$!CjebyGU^){e1bjaGl1xKTj-D?RroD1GbQCZbCA)SoN6hqwN|i&Ag0p&ode(s(G(3k z-4YB`)7qbb?ors4IHM|VN*wZ8gB@p#yM4+en^taDFLD6Yf@V)De2OtnjfzA@! z>78&?qHW1Wu6(uM`x2sH5UAyl2ohmX3rN)SV#Zw7DSYqql8?+iH#C~GRzHon;z(QA zc=vj<(#*A^on9)zWc5;pa2H?nok!oMgpa=&t%+(kGK9;-6vDe{|ia# zJk!z0z@vE_QHF{5G1Y4tfgEt48{qX{QNiskNu3}jYMf0wnls4;RZn#vKYzICbLta7 z2(KLGGyuJ;8i;l=D9DKy$_XE~^x828q%n&QssIjN+m(c5(PHgdCzf8y`lOrYO7inL z2qRGX{`p43$$J_!8=&I1fu!w5JOYN9(1z)jmsa=ukW1Ubj1iLPK3pVPnzS}NmUm?d zGn9z<;!5ADF+3{cKgLM~+$dlXlBRS{lWe6t))*XqjSr&z@OLT zZwMn7ab7^BTPPCbwHKk;-$_pvLv6`j+Li{7umpaN4Fkvhk@_WsL zyBvL^1i;C+AF^b66F2Z4{j72jOn=82`peHYgd(i>Lf-xct|CCJVMP)YlLZ50Tvik8 z9QENzptVZLxWQ1^$LMvG161?c7%t+Kqu#%d@BLa&N|#juClwbD_OhUC4dCrpb z<}DB%g>2p#sOfWjFMEH^1U!0>M0CfiJ8h`QN2{@vG&61Rb6&X?3}h&9mZ=wj;5N`q z0uIK9s-N>pAF7LQRC8>(jp^GYt<`VV6&J#Fw!DC)NDpu_6svqnwj3n=SI@|yisr?8 z+s4p*v30JI$m|VmX`bU0qh^!(wtJSjdh#tnA3qA_hG`=RxdG7yWq9-#mc?Q;?^6FY)=GTO@Tody4D8^>?;^!>S zAK3b5dW00}&u!Ng6UX_uOy6kU7x%o@^;2;ul}hyI2jvAKlK7%X#RIz-$xNQDxOX!q zPcVn`b&2}>x15;=M>*kz-yWQVGlxA83>o{oj#hOo?L|wJM=^g)L@Ry$m=2O?-yr|4 zMX!=YVdwQ#)wfn@8Kv)yZ5Iea&FbliDf#jKS=cXJR5*cekpBS zP+lBR_Q~8NmVeg%JLl7bV|Gjwda|^Pr_9e(-W7pA9)y<-oQvkqe34srmCfh@p=@jj z=Sig^c?0|iBVJ(g=9BBt*6TzA;2Ob=dFN9)_5CXD4}{QK5_~t0K_6?#sGwomnzGeF z<#D2#U^hdVIG430P%RFs*g=WA>Qpbs2>Z9O{0ArPg?@JjC z>gdD7j>JghE&9Oz?*qlkpV=Z7u5Jo3854w=%7Seo@&P}AY*VPSjZvB0j zIgnJ&z@_Tn6j9c47@fc*6;J#*=+SnJ-5T30wmB3lEGyi)5p?53 zGx?;fqwlj_>MN-U`=gXY!nCQtbYzpEsLV}4^hKec*wr?)ma=Sg#Mtep>#_4n8WQAl zu4z9V{2zfS;i%Lxp)xk~uttW7%zfA$ZuQ;W?k(@kwkH+aBC-oibIMa%q6bw5Y}yVF z2`8ypqE}1v-Q^}Sza8fV9PXfF>Wx2SaICz&YM`iS7V*vNyUpi>49lYc!uPcn*QZ8- z<$-Rjk&&J4i*b>8g&#!6T)l2rvE^Om%6N&$rc91|twtYbYKY+uyvDZaKjokmVDUk# zXC~YsO)=U)bPezKv;4t6=H|zko6I$tl9-pz)|@f>*RZeiGdDB3u56L3<`N}aX-3N2 zS#X|KcgVOph>k#X>VIhFA8Ivw0+U??7U#ZuEq&!p=i)N7Y#bBcE!x$dI4(1xg#z`w zSkh2|9$XRe`$)Y{C(R})WczHLh(MWa_HMFRq8&r(k@RdiPu=YyhZhJ0E&x|ABYcN|5jah~R}0ig+B@f7?! z(7yx+2e{09z~>PM<{rI-y$x)x)`PxrFQm_mb0pL|ENE zTu~2v!0S8F)4Kr)hlBBygtzk|l|XI%0P;$hsPia> zKQN@uJ}`O^7ft8%<(s1d49I8h)L|O?OQ!1~#XFGD{zzp2xi{dHxq}o7Tzp875*9+K ze>603ku`z4u0VhHe;K!6lR5}HFlxQLB!VOMn35_R2&K+xyDd%Ne+Xi=JLuis1G%eC z-oOJD^44boi@E`FVBnQWQ7kPThlTDjSq~-QHuR?|s>IMqXT@HWV%(iz#FHRkJ`Exv z2h%~P!h(&|;RK)+-mW8V0xi|LhMl*aKL{qy{`}h_}}aQ|Iz=~cY})qI86W%emO)tr^#Jl;U4WS z#tjC)tAX0;)<-Z@@A$oA6+;N{2?S1SCN{1VCcLc`Rfd1C6Mp$Sas6a_`99g$vd@)u}?ycH}on)@}A9Zsk6Vs^A5d} zTgO{P>7-P3zy6c`6Vgl$T=j>|RKiNSWnK?7R8yMhy)Izf1a^>zyqdaq9Ab zTe=se*x4P&+1K1dJPrhQ2Asg2ruDrP-OLeA*ig(GC`7!Sv_C-W05bz#XfLOpMu9gp z4Ufl4^essc4bK!3qDyE#T12hhwJ+|^LK!q5(MXJm_(}k!L;DIzJYs%))U5fizS&_l zCq12UWpy>0+Yr?Wrl!oMnaJOKTJg{9KTDl-i!A=FqYzy)usnK4$UqhH6ly(aTFFbv z^IHc{fo+rIl%+>~-Eo-7LAS2jVIr}ovs1An0v{p1SpeTJ%uinh&q!jYGcUpl_`Gkc z2NFjj7(-2(juv@qs?&h0u=Dq0_`aan;d+$=mRJuyPe}O+YAs`J0GP7O9ejSaH~$j& zKqrf&sSW%--jU!XjYu7jh+JunKk*em9n8xwR}hFC>G}5eh5X~&{ym1%!=o-^Qt~JD zMfp-olo@ysvlFX7gdLU~@=v+-x+4aBr$_YZAX+ z9i%$R)RfzZJyjT}99>FzS4L~-2r|3hOgJAfO}g21=;T(q%QY5*K zvLT3$w#BKI4r26mbv^Cn7MhQ-&0VLHsMoGsdDJNFP-exS6oSzV+@ncuKI&7Y1Fk>f8OzIGH&H)N`eIO_P4rn=6N&?-%^ojiNDJyD*#I!)hX$M7 zDXn2yjyD=uBn?O&mK=et_lWa%-p(YZNk>g$TNdxU#~dkf?_^i~t!~-`%cDBW|qXRckB? z&{cP6RxdUBhnNC*t0`D3bPzz-*|tsbxwXGvH~G4J=E` zQE5OkVk6ws>WAORiIe-H@o}Jy>ER@Xb`uhgynAU9wp6{4(Rh) zZEQnQmC4hl|3($C%rpF4{eXB~JFrP9_E!_PS?1vYpoKH|mGoPy1 ziuN)7BU>@)g=78trIai0J{dX#;iw8pFW6Lh80R-h(src!L`tB=KmbhgSlO3JVXyn4#w%#JwQ!^^bn5o7(K*Gow(`qkiZ`!sY-Q5D-(HW0d!nh^qz$Cu(DPf z`F1d`pLsX@Xw3OoXJfB%f7-#i8e}NGqdGk`DB`A9vjd40qi>{5BtZJR)>1{)5vZgS zh0{f?l8>51!Bg~eF;|S+edj+2k4cW{rxLeU(ZzJDEXVtY!0fBge>2^8^I@^&(q#|E zK}2}@1$r{o5uHrs@K}3xT@P@ojfOBg^a%N9>&i%Sr>+`)Svg)^@pSiHj6u<6*xaMI z1Yj>F6`-OVoDd>t@YaL>MY1|A54sqI{842S2~APQY?ikdT-C<(%$yw0q+m>CYIK(O z*MQNDYKMWHkW6cX{l(l3PADVHwZx853j#^?@RNE{(PjAQ$QKA&&oe45ct<8N*gxo5~?>A8N7a&6X~SNSC6HzaLuaOa1;Lt=XwiQ-}*J*p?t4)3AP2ACu@(!)7}9pYiQ}84nSQguiPKzpIVkY zg3)YkOB44>zU@Z)+wRMLzgN@qfMZPHRO)M+Vgr#>_hBVgzM;tC;MeI4zfX<>PfT08 zWu|I~0%uaTLF)0z({KrH%dRUmU|A=8X}8&s!mQ{_7KwhvLk~2(mB1#VauG zw*m9Q0hW`;BhqyNR!(Th3IXy(u;OW4CVl-FKu*A+TJZs=q}Ls3cS z%UN08|CKUxlvjHUj@PYt1z@O0g+#9#IwIpdrNETy?t*p-rEXzqcR{H&#-gyaXf}Cl zu1;B9w^PjsDUJ^Oo8ay=?amqipR-)kSUMAa?KR^omdr`%=TEiuRQ*Pp#n``)Tm)b! z+GTAfOi82femC9puRm)+6z`+!3y(^tC^BDc)A(jk6?LAIVPAZb6AaFC4y> zC6|wib_`B8&xhYFz7+hXHxHyl<(~DDImN{9!cFFvf{DLWbaS6NdWqiT?nR#OR596! z4zV1f{@dV(!z+;rk!AqW+PBscmNZU&rE^p#howgu!r2bH)B}ctyp?C}4F2`Pf^*2z z)_1^XBp5N0Rx0tFGlR&7oSxNrzS{l6-Z0yz3hnC7O1r-Lu5Xpk{aCbyTTDe47$4*f~~W;i(LXN7f(1gNXy z-jQ7NXOedX%Ml-dX>WPK`E=T#WqS^atX&eV>WXFYc^kAUC%sJ;o|zSuK7@{`QfeJ9 zDm2iqoL=qx=glNnige+|5@Q)VWaOdU)rMvX^<8f}JlU8bZR8w6$vD42t9#sYLPcG&^52bN zrH^T{@dHxL=ACu@&LUe4_}*;>H4mX=Zetg;vUrkOT2e_VhxiIm0!!Y(Pnu{31|;i~ zPp&!?mI`@%K6aNHNi#XnlgcsN0K(qi4;}bSoa<1zXwUT0YKb9%tZQC>F8HM?`2Y=u zvHtt$_^*A#Z?wa|PB@u9Kbbjp+(;=CLwi<=H5`XZ9c6N~c%TbV@kN1_8rVEF57b7R zJ`ZtbTMMoardxLlN^$+tWu?1Y?68Bavii*;e>EHPwGvB1kWfE?BOig-s_jF&tgE}? z|GSlGvvYqsFE0<&ArPZbJ4&a@WQh*gB-DC2xAWzw`iO^7|tg!?R&wV4}{Sdrg;*12*r)x^dMB zlX1b=PVab2F`SuOGSB{cmXrbkeuH4+JU4*V%ym1demfEm@RBa|7osD=iS9h%Cb1-6 z5sC`a)NPT=D$_(djRzrEhrUpu0ZP$jV7-?Qx_>I*RB?S%2@!#B;0oplXjaQ zrg`NvWbD2`2a=Wo)AyPtXP1gikL@=sDJD-aCq&cd)4Dan+ZC73fb;z}Xt~FqJ7!kY zb=A5|w=on58l0FWlbL(61LMPSiE==ZX>@dF}SBnO$Hi6Y`nD>ti+NhI=dxtNSg zmX0oknwNywm-bqhn>wUr0i27?ouWo03yXM_w5vbLixbh~Ibyphqkma!T0DHC=$YB+^ zpT9eEwltD8{d4ga9CYnWlXu4tWT9OLw0yb9Pw;`Hfsn}Zy49jdCNbJ>bUEK}OF^Bz zOgUlx0eoABg0Q=talCGm@6SlV!~?{tl>*&Yn4TG|j}DM~Lqd!&7_4%1bRggv5r;tj z9K9KKvUGC9q+hZ+5RZP1e-0|_WS3wY@$&qTTLy30jnnc2mw9!FGcw1@k6~31LU4k8 z$plw1l)|dp6~`_v?1O@%?|tjyDyZXx;Hj+XdYRQ9T>QoL(vJD#h$lLNQ~&_mJ55#y z;I1cclY!pnNeJfUr!+ow4MUHsNc3<~Y4xJ@aoD^-X=+*7uJ+`arL1rs{u3dsmBT;l z?6oH5*JbR(+R~FJMt}bSf@Qp^6n4Z59P?zBDOjWy)upp=L2Ii(81`VDR#Ij;5K<<_>qL znRKM#i6Z0xdhim%YH zK3qsCYkc27U3}sU9I3~%Q3g%OxG}X!V!3iXn{C3!La|_5%!edvH*_}YK{kq30WL^* z(3oVK2I%yJnYUQy=BcBUZBXw1aOWG^|7&$gd)40b|PR>@$+0YAYZlBvfcN^oQ)__?1a+`|+K>nU2i5 zJy~^)T!N3Ff{07oCvSO+w7E4VS=O&V_)7)5u(CbCYK+W2zv;fZB>4!h;OcL93C66A z&0ie|E^Ctj$PC-@72A&`Re!}!>z)*pk+vOGK)(KU)1Iu9+iN##AbS?0AVt*BFOdXF zvB@_-_{iIN8Gb+%@AoFgsNnRxakBjK{EugmR8x(k$?+{+(+}W3} zv;XvR+lsYt)8W)s{LE3`OzJMezqL3ZZXH6#harsLzIf5V@aYu_LR(Q-_WjlRxkq%% zV1-kku5kCb^oaLEkDXYFGbs_tLzJw=Td$W%BrE_qat;{-kG63l5wN{+{Rx{@2{Y25 zE9KYdOwO!oD;$8s9CRk^#Gi8eMTo7kS3OuG9c~G8^XF$}VB$P{q#Bzg)tJh$LmMle z9*2bL!8#z~xNw@fsY)8h<(dagt7E?zgJaQJyGzqJO*i++a!nI~d!+k`%yWv$-D{f0 zc0v!y3{{2TlcR$U0T$t%L}{JN4~*fDri{w18$r&(cQ>T$FEq9IWS+L+v~B$pZ=x_0^w#b@rZ;I98r>MCZtUU%iN3$6w6{Da{Xy zg*`mdNpvMAd3hst_^rzHTiX!$Qr1LV%PnA?X#mcZ3&@*D?J5vF zbl~Xqw-m6bT}U8NHJ`mSrCM!x|7x|h*xXy@g(LicaN3*do`ApWb{khpDGpUUW7vKZU7uPr-;>i$KZhrFaY-btrGpvU{FKO6l1-_Y-S0VTV{ z*Zm6bv)*DZhEHOr_k;vgW?xnZZ-Ls9C%nQKc%hO}3)ypWomXi@87KmvuIscn5HDh^ zKiRuFeCHzWMIh8EFnb6-1Ybs~NW?s13hFrhdyQCxK(itLT%TWosqz2(h3xVzFhTI2 z>;L9Q+!m1ecJ1kJ<7iI%Bd;bF23E%&76ZVM+{B#Bb_m>l+cGBL2yG$*a2lai0Ww<# z=r=<Kp;UeFT|^^VnAn60l3jifbQVVNCrvEbMuGYn{OZJgp&sv@o8JByCM`+ zymia>C~;6CBY5}IW`@a{{WpsWcIb$8_;v@nDO_6MfB@I4h}yY#ocG_|tNlF}zR0lU z9V!xGDOvsv3mpz+Yu!(Ur|$311O|>^M_>H{2&rIXsTXj)?p~7I7j-*CVVzP&`|;Qr z63VW4VrGW-^vp%>_?t>@hpBgRnrvU9ykX*j)@BfKh2AX@_Mdkhe5v}kU@jQhnxw^_ za)gj*D>mE9>bZ9b%g0Dtq-JSSuKMb}EIdI_L?ijG%bA>e*Jw7Xl)?9#W=F=oh_!8qX}SFIe^M20122n9wCp7S9C>&Lf9{Ey z^|Jq(;SA6}Twuo4f?!4}nw1n|+Jf){@BXj|k-3XXtTDKzI;j*PxIH2RdN(s6u+R0} z-(eZk_Z)y>_3YpoH|$fJwhg+1K6qh*#7>a@lmhrhi?%Oc4jKV?UDY>Z6?2tQ!nV;r zE!T^H))n^K{NXkb2XV=uT_EfiU~Ai1J)3G5xVzPMlT)V?6k#dT89~q0bR}BPD}#?vW=&glp@Ktr-qda^IXavE2|E;F?II zpgFny`^P31C^7go(#-RVr}MHmM9`q;K-i0vB-%p4o=*)2fO=k6lmFp@6lq>+0Yu}X zRKJ}rBpkEV~1MHSAMp6>gwuh zZgR7c4R!hs z*X6;?h>d?fCN=aiX(9Q9uPvt{uWK9F8kIt=WY009V}Gm%1Pz6o?A~+p1^bi&E(97= zif)IXmFHAT0?E~=&X$M$KLK9|NKoiipK_0>snaa;pCqFy8kW+1^BN*iU0OD&F7h4e z!WZ9!tQC!@OEu1l=3^83QiM~$0rc;Vq-KG<8D0hF|F={Ch4kk&2cRU)qGlf}mh1pZ z;&*^UU+V7os-y{kK^Z1!pchQ!2AhpKjXlG`!8*NP8Qi0<>tBv`dirLpO+nX9)lBCY z>wqaU-pLbgRLWwH20(zRn%GKCNC$(*s0ME5gR@`uES~oJF~Rf%xegZBu-g=HDm~=` zI6iM}fSlziOfgGCo~bf2GCMfo<_V)>zAKB6+5FM(4ypLfO{W9EiRHUo4yl!pxkt== zgP-}DdNK6s+h%LG9-v7lAyRw@ijmK$|4%%C;8-EIv_5M($rBJbx&h#C0yXC>af_v< z&C^Fu_jgCsdq~HJeg5euM@v0WX5}*V-A#vJNpWsKY>n#x*bK3OeHl%uCi1Pf9}7;9 z`!~oBR&|>n0PdR8LnA;%CFU*1t0R&gd60{0|AUxK0FCMNqk#CJ3khR z0XtP0$GzwL`i8YVp+cJnJn=H`bT(+oLdKugIvGx;t=~Y|qK>0ea-{zJmc2v5w{K6XC}1i0HC|*!JyGkHU!qsh zQXP2kD^!XLB4&%ftp2(K*y*LA2w)Gy0^Y8-46=GPnuLd!!9|b}!z#u92WM{{PvsiD zjVB=_5h_zssYqm=38j*$44J3Mv?=p8MiCW~$dobjJP#p5BDN{>tguZPvdvS!^=x&{ z`F`K`^ZxPMf1L9m4hWQ6_C zK-dVn%L60VwX4in9*#r75Vr#yYsjhGk>1{i(n1tVe3y6HpG!QD=n>$&hcMqQ(Zug@ zaWx}I5Ps2#ME>Rcca?WQ1iENHo$59Db)LbD1B2VrX!$XM+ydm&t|`yjJ_vdh^O=PI z=UfBz!5tVU#I`*w>tn_d{#+L!3t7+__n==JZJe=kf)BKxoMQQL$D7XLYl1sp{_rL)NKU1u7xjjpb4&!8s+ z71R|q&~c|!%;_$^L8L|buqPq23@^;fr>su_fuE~YMsgWCVgETDD>#sLnXQS;TuYkj zC-q7j(N<(HLP$E(>0vMvHZ9Uq^Yr{wnk_oMXSVccKRo3QA+BcopRn@lr>7xjevEa2 zsgZZtLzCb0Yj}=2GClrGwVZIGvTNss+hXhCC3diQ7+PL26g_rtK1haUhWe z|EadkohGadQIhCCWIpg^892U(Wr+c{d+#5AImP5U!g82CI|F~yr=qR(1#CvFu0ZSI zzsunYEQj8~L5>`BizQ|rM)q2N>pczj=ViNVgDvyqTot)z+tLPi>bX2r$Z6)(V#j?M ztY1GRp;UCSaySi%X+q#n@?6IMTv!NPSQ^qw!q^a;<2K2`#@#8n-JPxbaRSjY$f}&1 ziuJ5QcqED-QAp@8lMJI9H|nPNUu`3(Vn2{4AEwHY_7sO4*Z2L&zG&ni3{}}}khMJb z^_@UuZe{9*Cz}wsVH1|r<>BFBWa_d3ogS$H+RvBdd{gM}!DS5_8o|zoFvHABM-v~C z;cit+W1FcTfoQJ@;VjUj+anj=>A9pKTynn4ss(zfhD3p*6)Ho$DiGBux(pSg1~Co- zQK*d_cw;#h-4|UafjtX~cvs@F>vEi0Vt1u8-}ASJT`WldH}v>|1mL0 zUGbwItp*BjDGGf*#4BpEI8q6P4?erH8Y+FPu7BL%(#vJx$F3U1bXcPEq?8L(!6z^S zdw&;6`z?7RpO|t)t4AWa;iW15u6goKxD&jnO^B>v6UOYB9;`B*VgD%k8z=b=nX)L> z7DB@8EQJhPHX}#^7v%yfX6@QU=HV?*Nq?Z){g zyQbdnbZE|rI~O?hi}UYay-Y7}>cb3U*uk=sa(_%i%RtrNKW#ThK&?WsMfqg?QfTCj zRy1P6gnaJ*aMoa`&L_itPTDvBg#Tyo*bq4sG;u0n)~){@!yrJ4vii+`R`YG7p1Aa% zHx=A=s^47uce%enzCik)FT8*+B>ZQ4Y(l>9-%TSB`NDp$H~!>~?rcIpgGq|y>+{^b zfw9Lthw1E)Dg*gc--WJTgAV^XDR1$?>j|&%O~%L{2aONPl`P5+k!t3y!^f0OLI^V`8&u*1i8Y5ac4b9uyQ@8GUxHhAo3>#(4+}}lBLrN z9?QwR1%(fh|BHO=V@i6JD)-IJj?i5*|K+cfjk z6FR7HtK2W@gZnH##>k%pyaoRW*G8TXBgNdp;Jeq(R;sn}(S9p0JG;+XyGT9oy!>7H z)5bRSo0}&-KNibC#oDUAP{!xq@OQaWkPEs+kKG+3t<1Z@qZ^ZX+y14U^0`1`|9tTu z6k9*G>&*$pD@P5kywQoT=z`H>7g88QW5yHz{Pck*aB0*ZPy#JY70vYZgsLLxI`#&@phgvDD@wbRhHU0d(khq`kfDvI@KrEB{e6L9yQOnF%!e}k7DZg zk3A;pBJt?g-Ds*;dt{6g2dfO1_ z7KGb-G#RSFO6~vFT{7AH2VfU5+!gJyHG>;* z>`YeZ1GZ$%`8T4hS%TDBbVQOB`6O5vH7l^D*Kt!?n8pke}cV(oH!?f}%XQ!y$z@mgl1mYNDa z9d8<>g8XK|TmJ0h>F)ykyls}@a91xBpb@_Y(CBl=m6--ZZ@~L*Z?D5(mbw= zh8W}wt(!k*ay*G>tH+?ezAnbBG0H_lRtjRpB^b;~R5I!zid6K7r@Zcx$2r+^`0Gzs z+bN7hevx;eJoow2f+++14^G5d=2X&!nS2Mn*IEOS@`?PFvIioV<6cq+ka1ke8jH7_Zz88HtD19ino7mp2R%=X4UNTK#his- zT@J!DAsWAK6H=UG2~2+&{}7^h_uV2$fASaZY1u8z><)u0BDob*G7j&w74SzYT*;ec zqw3ZVf4C_Axqy?Q*xcw*Lfn8=(|o!15x(cBzGC6^tzu0vO*X5aTT-_=1Dbv^!W~ti zaM|0Oy2{V*91NNxrSI2o{eF=k%Qjup^*vVj15#Q?S>PmHlc*8lmx=lOtt&UhReUW7$ z(S?DBe0+*T%J-+Y1PqcBFHYQTG@<5xKozGcRadpRhKfa&?Q9J|jP_9&pSK=Bk6<@{ zA%es2FuvsOBGD&MrC~P9F#X$~FGzTiUnxECoYB@Va=gU2;ph$k*VWw``dOy9_qI)! z`br<4HOjlM8FXo#Hx?F?t4QYl3R-5spP{MIA+NyhD|KQ9X8EN&T*rcp9UdOa!+sGT zxlusiE_NWXh_)tBaT-gL@43Ns0B$9GOq)y#X2od8I5$4u6m5;j;u(Ik7I8w~Ew8-7 zu#T7!l0>`g0!UAW;1w&Vx)47CQ*~b;+DswHpO#?w-gjhj9oYtQEI+?6_M_x136T>5 z7>1LIY1~SgTBojwjT}Ir>3uaKmQv3x_ZFLUJdz=%0Z@j^UU323guI9d%Sr zh9hgF=kC^1zH?zE`W*FA?)f`;>5AGli9R1OzQmJc$olEHl9iQJpk>pVvQqHP;XOSg z<7eoxcm?XcXy+gPrSKA*i0&;BOj2{VsoG4=7(BlJ^vUt})+MvWB>bI*{<`e4nO-S* zR|Q!zk)3_&Ni2~!x0dL8YXSJO%CP9z6T+^tXQ)lLUzNRX1z1zPUVlJ<@Glp^5bTsM zK`-^lMJ2ZfRqcj+(UGRcYI4UTWhO`UCYITVpLagdR5sL$ zD>xBZL-hf93qOiNCxzNgHWWW>rv2#HIM4)3zn5p3dY1WfyHQTUTSMQS7A6q7E&;er z-C@?%`4Wot9YdEMX8iSZ-2H;=Z(*oKX6*H2K|V~+(NQJm<8NS35gbxqOIOD4vsepj zYxRQp&mhp1n3~GZUw~7;_pS|uwE3~M4|x3VDGC#DRc)}2>@GNsL)*kPG3NCZ>JN7> zxxwas@7-k8pUdJwE~~_Fq_J-zlbZ|6gK0it)z~POm=$7(oK1(Gj$I3XdSWf0tVz=1 z+9TlvCr_TN_Bo+%3hmWuqq;*0rDLA(s5)vW=dq&>l@f(cx?bn>4 z53*xqM6YM=5kM;6p3-hC6Jx#CqRpkS3GMAwqcU*kN*@Fsq#gUDDAQ7kpdZZ7g+--C6 zoiPN@^y^sISrVno2r0#m!MoKEJ%}2q(0u=3a_ElWs2gt#;GQ!%ZO|a@Hb!_le4S57 zNNBG3+Zs*@M91AtHBOaty6JSu3n3(nVDJj)doi1MF*q|+}Y~=^ab$Z`DSBN z9-e4&i?!OAo6U+5zgWJ<9nqA8<@6X{x(wQmCOqoZR+AcFkTu9cM)1~(2;7s)zc@js{!yMqiP0%sRd zu#Ny;xO+y z>A+0pLst=4I3C^4-pOemiw4a|Ml&RJ)c{8ePKf~5{RQ?S{yA5W(jaT?S3ITrVQ6ck z8F888bOY$G2Ews!&v+G}-+}52RGja)+gk6G9>pyu2h@0xPAE{+Jn=2cFgi>WK!&>d z=fT3iI(YQrPaJ*TjlS|udr2h!wj!T^K)FXWpkS$|oc(1Fo`wi6W<@+hYu_W7SPq-xZfg=b`3;|t?q6GBG+|{=PmgAn;MBb>&6#pV z0K$HN80Ut*{%NFX0fCLlTjvI&zNJ^e7Sq{1?{B6NjxBD%_Pq6qPC7%=HSB|)Ifwat zSf6Zvkt6?1e*tUpsLnDqk$EqGYu_ja^+;VtF`oct*hGW7PZS=#X19jw`tHEdLxlAw6wV3PHS8&qNe< zyTOW^s%!<|Exz^qYddN6HFvOasL9Bwda(|C>;~-J{$_l$=B~dXjNNG)ILqqv%K2jk zw+*iNoGlUgnc>=5vzo`@4OP z)0zQRx9(q$y2JJuq~~MxC-grfoDp;ho%L%Nk16I4z5N}El$i3%>k6_9LKL014fU!F z&eF8!iCD0jnFTHw+wzd`<|S@y1PiU)k4pTLD&QYC=b)4l64l!ID3E>*vQ?`=_0iM+ zKciZ)j$^-x^OzS&*Nd76J=b}Dx0S@x^-$X+s&Be)HtVldjLJ@2#*h>9t*r5h9>u-+ zdfB(3pwlp>V<;=f#BHj1EY&8h910VsW0tMoU#}JXm%jdG|UeIzZf%!$#Oov0vBU z`=X1p&U`aV6^M!qd*?dUeB;j+0sm6FC+HO;v^f#dou-r26a8@;h^RD0YoxVpR#x_9 z!<7lcz`!~_Z7QoFTCDI@Ua*mUdiYsnoVm{n6z{+9x{7XF`&rh=Q&`&KbplfYUjqHw ziiOaYu|~0fFIelcLy>flUzi|R=dY&Oog}b#kUd7G6;mf>MmzZ6-|r<<{vdzZi1dHNl&;4<%v9ay zNPl6zXT{W3eEv*Be1j)C;y)XaJUu>9F4k1$z!^kj*H!p4=DIsmM<$t=X}F5rJ0*coC)h7pcz;vW?o?KL!GXXM`hzw-v95HWwW{A-b5yzBG3S{ zR?GAjQ*9VKlJ#>?n~s}Dz<;%a=GZ|9$S*in#ke^cLJfraxc+^R=@iJBW#0-H%uS@h z5_NQsJaenng#U6sICJNKA03QexHNmIJ%rn4Jo%Dpt;!tz$=QEzLH8+qBF%Qet}jeM zM&>GJPOtw+ivZ;A{;GOmM74f7Pe#sVNpR{HFBW;}X!go0X`Z}ATO#@`E|D`qrW5P? zhQ#5yTmO}R&qqrODV=olc|%Sz13$!9$akVnEFwa~I!2He)5*uc#A#?2z$4DJIOmwH zf9i8g`2#jyx~<~^>Loih@9Zq4*15^r0qT=R= z+6?uIPE_yX9s3ua5K#&*-5+cxPe4es{mXvVxBtV1s#lT4PmX(4eC5B3Usdp51jW4B z+9U?0QO0%g->X)mcnJ4$*9YymX*e==)BPDb(LBRjdmnzmANr-g7rZ@I;SU3ky4;U= zXlx+lGx4Ep+Hl0++X@Z#>wM?E{c3#wJ)EW0wx(8T$;&qnLJ6RbD9qmcV4GbhHh4KZ z6(=oSy7#Ok6#bO+xc?FS^=r9+!til4FfITxNEsWSJt{KIf<&O3DV>1}4SWhaKuFj6 zQZPKiTy2O;N+OC^J`Ajd5O4%b!2BEKtRpd9=W#u4A7rsqN1sFT?E?({X|9ST@8{xw zFe+wzfr|O;mlA=d#-7I!$C)p{G(l!;-?0k%TM<^_MR&-jIn@;X3S62m=v;W zD{7TbTNRxAf}WHM?>$b*@~zsl70OaG^VjVP>Ye_B)*mU{-QArR%BGgUJc$49=SOgAoD|K3Rn-&PG?#*AnVq^43h$5Vb7E2`J8h?twxgP(L zs@lYO?xF7}D8$Fd69Bl3spv&|mAf|o7Br_EM!LHArXD6Wybg7C9S8%8C|w|0R`uhZ z=Im(%kTAzR_2|*_aKPo`NR$M7><3oVM52^3T)ybM`}bRF z?C7zRCvK5?3adzSnL&p1 zo{vvTh3MVj`SYxvuOuIF#NKArqC>X3;ou)Fw*y(~;=MT0(Wz}4V zrwWWc_a?%wyIR3zU5RQ*x6@oLK4#t^T%eY$om06+f2C@}$N^pFOCbc#C)nXI3lt?4 zC&jkIplH-a4zcz`n(6qOo%2{Y6g2$8KBjllg?K8A+QA2lSWql>6* z*vt#c9OtzhHetimdX%JZz8VvS{Av;(FF1DQh{qv&pI_LEa<>uN-%8X6}MWTaxLmYjL*wO3XDV8fmnb<)a@SM~(d6 zTW@p0_!OJ0&UQo2UDURU3~_@PTKKtJAf&2Z9Dy!322QDTp?vNUfPjm6 zlg$eY6*$Fc0Ln{2K!G5H_KuD}+GQx~CnnAzD&CCtrR8QWjWe}w6Vq*VM@5eyEk&xi z7Yb-5%8@pyC9qvk8YZDq1M(-zC~#pP`UsYcjEd^E5`7Hse%oeQW~M9L_O3}Fyi0y= zE3k#6-*AOZ_!sCe7(mYFXOUJWnAA|ZKH_>6u>Ps3B$OD0iKY=cR;}`ZL}Gl%PStBpp;uW~{7Ylw zVQ4enBZy2+t6kiWK%qvD%*+m--kp}q1Ko&&w(z@d?{BS>a3mpOVq!PReP&B<6sxS85tRggq^P?yB8AbkDHG*Axk@5AFfpw>>blDR!k?n zL}1#qA1YwdGX{Dh^{4HKq}+k;p)lf#*-ekM*+)2ZJ!Cni>@)IE0v9o}^vDU^c-p#9 zla9Z)a(;`ryOzx(EgEAGo>}gu(Nyiu+iVxE%QhdctLUFM^rgnKR?#C#*Tht&VmSOnt{e!cR(+GsC z=@co9XKu^3-v6p{t1fP)e2&}3lKlY3gEIiUlHoF~==ESc{Y^r4-Oi!sXi<_9hOJtX zGsx28B#wA|CB>GLFL5UdI-*6;XY4vm7Rsaj%+SVo&a)_;)l1LGNpKJDFk|fAN{X6g z=xrD96zD?R*yLEe2fe}Z6aMc zDm?KT{pmM+muo{vcJ)pzUu9YMDyAaq5}~lX%spkN6WF8>?&D{d*u_oa`4e1W`j@Y7 ztFwc~iT%R5n;yUEs5Y~Iv$b<`V?-=JKA2v(8Rs;YRbpgil}SzM^G{U91fgD^LQ{&b zyteqd2|TY!Puqj)a?C#=*=>+HVX_Go-rFk)fZN#*gVXcYj?7pEHkG~(%1_+;^f7Y%4R3m$D;aAaR+D0H^HM+P9+bX4 zFDZ`@cW4SA?tZP@@dE{u^$6;htE(O~L7HAFlOsD;Yg(IFu^r^V*++=jI`mR>bu+wLi;N~)~@$uoGKZ1|R6KGP4>b;dzS!3VTsn4T!yrQJ+>-4tRHl5Xzx z|1f;e&UGTFA%1R)xkQe*QeOTp*Px6nB;^KDGB!#Dk7$avfQ6}uEdEIn(YyP~$ zNYVzU;=y#jpbZJ3vl8u5<`A7qv5}T|{u4SF8?K+w{ZPwgUW2Y7I*}R{jR0%_lG_NC zj}jggl6o)SSFC(-16E^OdG_(a5*q~9e+FReaj=`Z%&dEML`{?Y}M%78z?R9(<|2*_7EQfIK{5 zDyh(bfPn7^q$$r;`Aj-K4k(fl2p!htGi=@IIB4_WLv*rt+9C%-K;L(l$o$)vWgyw> z;W{LzM3lsSJrj8+)k>;qvK}1db||N6iyc~6*2lof>3l-RG_ws33{*}d#F`5RagHIk zet9U`mNlU%SK;{6x>NSVD855ZKImn47`%TcaEgW z&d>`#GbhQP`p)q;Had))1TIK;+BWCAy|Holr8D1R>wd)?ojO2P2|h&+T+WX`1q-PL z7m|I{kM0hS8iF~@2I5$Rzjzm_K$XgGxX{GF;=@p( zz=|Iai~7CH_1hcCE;bN>IBoXV8NmC$fC3g$&AYiSD4PvU*71WCU$giQ1IlOmoae| zA-xbCr)8h5Rdjnk1k)OVcKaK8)!C_4h-xe1B^-{PeUcq`So&JCT{y`& z#j)8|uYJE|7P-KV!5N21*W`ByYCSQp85~=a%@aR@KdJ5;;exAMU(zM5>%8Qyb`ARP z*U$;qDOMbR_IW`oKM@lX)623`vZ}_IyfY_J!|gH@AemvDQp;nATm@Ma? zHMDLx(yB=r?90x@xetXY*+%Kxse0b;FWegNE0Lj;V-#06o4=M_oX3oR3JE4m)4R~L zqMj0==Q491AcG?htxX*7G?)~hI2o7y zN!eQ8Ni9PA%$IV9x#ZDDh-=vw0ush28QJ9)BXja&y?uRtkhD=EZgX3aemB)K=lxOr z79)&WB8D^9g!}CEY?+$bi60fzRjk;D_x3*!2J%6I++SrvhIHEYQ=a3hc)uw{Yb{?{ zfXU#r-we>^*`-%4CGo2#buCmKt0_v!W`7*p?^6*eeuYUfOmshYqjZBjP;%#y1N$bz z<5X2aTjFl1E2|dqxru>NbBmzfJk;^c?<{0#jwkERm~HJChEI6g1d`?Vq8<20fN`IlbQ*H3sw&+jhPq4-1HY zmR2iau2ja8Opr(ro_2A?z@Ucp&cRAlno&pOO_Mx#xl0)Ggp5kkP1()*sLU0HJ_#?Y zY|^%=AK^zzSRzSlZ%-P$B0hF_VvT-!zUp*7#4NE3&a#*AYiJiIjzQQXN29Xkvls>i zu6BA~WYb|j2>U!&PtK9_r3{D<31P^j15vlHc#G z6>&o9f6@-_oEh6k=Xeawh{DTg4rZYaI})#-oStkc+diW$E);XgRdgQ)pz8kg;u)GL zL*=A1NptXN1oM`4dEtfVf4XnQt%K#oZ%_?+& zh)9TOI<#u)5ClT@qLjC^C~EICT9l{^_XQwWsng=h8H0Y3;hKtE!%Hl#ACe(`_**AE z6b+!xf{UaWT|7Ku$jnyM*fAk?+ApF^Zp>cP)SS`??`77FiAQ*YZo{|>*P<(~&Vp|t z4jw|vgP!QZl<2aA7W426C;>0JXEMa)q5ym_QSn``lgcZ;LjEW3U>6k2zww-%8p|p7 zjk!Sb%zIrv2y!vb1|p2e?vxJ1daLN-`@Kx9U3~I8@o({tv52{ z56RK_v->v!{3Xg8Uu7CTHGH$_^K9`GNkhFqa$w{@PB&4elPDbd0k!I%U|t) z;W&JuXfuq#VE(4B@)4n-Dg-(aQz#35|o z{_;T<{>*_w`XIb4&@0EFS@vksd4m z`h>si6386XjClQ070;}!u?wfmlsh-U6XY%V@)w+ zF_&TcQuZE^n)BG)l%#Xwz%3J5o#JG9XmOZ$$Oj!!5g_~J*{dqtS&U`Sg2)qZB>MY> z(RJoKi4r7pj*f1py>2$P$ffjgV-BNw*3&^QPuW_2G!$YKa^3k-=NDAfhe6!ZYF>8< zU>ZuyR#oBHkwfhH5Xv9E(Ih7{m+?V!20zK*RvNHM=ccSq4`iEylVB^RP-J;%?nf`+ zG8p|F{q>d4gD!BAbO_Mg zVQ?qB6`maM+S=HmV1^wtrv$^(eV>Yy8!^{agdIqrpeL-P7XTt3=OH=h`D8JOR${|! zbP<0wO}GImYms)2SHuR%3GGk4h~~V!%?%$35q4Vn+~J#<^<#Mr{S{1o>X}?vV>}Gf zym#IRkH4(OL8T4F>@&nK_;jn#_z@(1afUX1gGe?BfJj@*M?lFH02GWSO32?2OHuQM zJpJ%X!TV;Gqzk_;_W0CQRBV-Bcq3^8L7jbnO~6Jzf!FM8U#j7J`bp_)X@riey>EHO z=6_Yg<<|y!Tz1;uwDnXU_>O>;u`j|`f{aRXcSfmWbTmhO7Wy*vqZ}%cCR+6=M8k4k z;HlqiHRjlzfqRYunvY&jwvZta10?{8kh^z+0-J;L1f&TlEI&p8G!e5_m&3ge$5=e? z;wjIjZ95@EOU72bazgYe-y!~=1tPwW8pGGiC!e8RguEx4f<)4*2`@s#H}g+zOsOf) z9tU*u3t+@4tx2m`IwgC2>v#bN!ht;F`HTH1l9D1vlFx*_;r7t7U zwhuB7J@t)`FA?=M;2uLsMpl;eKiKa;Q1!gMDhE2GlNYlvQKGyyN~S(&M1aH)c2;sW zwZh!^Vhwr{-eT1TPCCqTmJh@1+4^%6F39%5O$Km%r^S}E)9v2�RoRmaDRb( zO7T6C?oQy)I?$L<3WfB#^I#>@&F=nwf8a>u24z%v4fW=3_eJ=dtb1?LVpjv`x;F5f zOF1RrokOpWS#g^$6!R$EJEJT7fM3_vh^#-Fly89yS3%Q>;tb%9UfI%l@x7k;pweu^ac2-S=g_Fe;TeR4}8&^8mX&3e{LHdQr8EL;TmEWZP7$7>4CQ+!y5;xo}sVF$fV5D$>1NmR}9TVBp?I;B=^?A z9Vq*AH}0~5WJAmc&BLqoIq}TrMBgbREx~9I0^xb5*6hkPt@~j~78T7`K3Z*UgY41b z%NBqO9}Wr&Z{Tw4j&jUN00uOxsgKMMsIn34FlwA4?-P3sxkP`&EgGI(?!tb<5nH~< zVpT~RVX3YlZX1UTFDFMD$}W6H(k!(Iz(;K?ST3fWO;pd;NyAQm)j6o^t4u{T@6(GA zzqDANx@D#4j}d6zmow6viQD+Zu_K@Dy(XSrMw^Cfm^lethlugHTclEH3bg1)5 z)^yfE9`}!w3bEQB2Er%?1v+T*JNhq==3xU}b2H!f7ObDdW@%B?D6=Ye2ngm=P7!B#tv^N>zM|~$^yq+>}Sv%#}eWxdUJ~allD}1Hz;atq} zDu3PhwX0`i!{uEwR?*uJTyxjvT+S!GZqzp9KYVj@r+;rWfDJ)a{Fm#9u}<1-ar-h` zJn-8H2H!W?Bu0uWrbr?9NUCK_b3^-W?56`}LG&Obfu$_l%-SAOivlQOGU`@>NXX#M zz>3M>QRHb~`gS2%3tA98`-9Nw#Ucl2Zqp?{Kd&|WuWCvvZn zYAaTIt30-?Cq_E7?tJEqY3Z?Z%tZMKY z63`&O(9$e5ZHa`&tbZwZ`}?;FkC6rxzoLE3%m2)t0b-2q^L-hjR8Y~i&KGu{-+jDE zSSOaC#RDPzWhH50V-C7l|ER6g6}P1h2^5tIDh;@YE)}`&2>A9{_jm^@dA42-bhs#= zepPI3=EVXv&8(Z!xdWGpTxKQmLvo!~&bH@iQCQ1ao;WB=>=lq zr)TZz#4en}%rV??rI(65T4H=roQRXGQ1;;TjF~#e+L~-R%HkeH?mg0?1SNIs`GWev z()X*}Z@GUhs0CW%bNi200vWCAe2(#5KX^jEs!q~wlz48JXzD+&Gt>b$@(obyW?J+D z^zH`!HnoV>B;AUVQ{VQOUTk4MAL`i=hW9{vJZ+T-i#Ua?PrPk8vMg^ zH|KZK3$aT#lPX72Bv#WZN7S=RQtoMJylWOer{zYCjiAP8vaKi+dJoTam1UL=c9ITc zds=7Sp~p_gZB=y)y^xZlw69aX7QQ9gF(qmEkX%2)n43Eq_Pewn3KVfpr?CnXPf(&0 zG8`0~9miZm#@h+=KanriWxEH@xKy`)SOB^9Kv2iQJD{Wl8s)rHEl+UsE#u|Qudl?< z@DCbkOK zdGpN+2>g$TtzwF2z=?UWg0N?Ba8P`htHVeoig0&w@$zcKUw!(^8JPbVHNqyGr=EEG&C{i>SH%K^jR%Q> z3}YD2-E94HrBJZ7aXY$m?;(vZvxOIy4L#z=s;+)Q{k?cD`PeKuPio!s#gQ@(gZJo2GLkVY9(7=BFGhzYnI>bFEyvg3@~NmFOS| z6x<27g~p!zV5BiOj%b_ec3a&vZE2}kFpBJ_?~+%zt$I}WaE``+6}`YRXcf~Wn^50W z7G^sqpZuw5pq5h{z3k#{htRmS`Ip_GR#eR(kpJ80*%L+G_|>8Yqzajt+Z8ZK;Gz32 z6n5x=8woDvB{PmDF`A-M5pGqHehBie-!PC=H@Sr+={I|DElM##y?Xq#7k1M6(jDy7K zUd|&7pnZmNc5CA8kf%!%yRQB7x7Lnfg*PkeZ(pe}auhb)XK}NkiU5)NQ;SlltTRTTJ8ZIAh<5PzDfHqZ$*~OPp}R3 z@MFn;W&Wu%LYQV#^7L>4M_=@Ng)k`eTJ{K8KDIOFi=T*}}0HS}L2S@I{nllCn;bMJPKpMExD~)GSr^ z!Nj6YyYQ6jMpx=8jP6Co++=P!)1nssj;qgN$xWkc2>l?lfLn>^#nns6GG>4+PFYJr z9YTb@sBz?CC0#s^#%mr1$~-rry2 zBHPdIPw;yl{_(dZcItf_3s97j4q!-=qv0?JqQ=uLTU$^-T!m2{HmRB(NLOJ~RjkZW z;Rhp&%|HFWRZ*!uH9Z6*e{d;q9MZWlfo#u6pygwb_$6K~R>DEH%`_$Vh3&5BL+o|$ z=>;=siSHhg>REmUkHiiPUW;kK!!;H@7?w|v())P53)c()XDb6pwR*#YdlTbwJ(+2)3W@%8sWzrU#)D&aVD=tRr^>2>g=AWbb zb5V9vw=~*@?V0$s!m~+w3yF@kbG{YbydKlM@^*6l3SQ38BBi9Bx(oWrdhj?>>zD+_ zG%>MWZ|QD0=ZBSoyu7QbPiZ0{T?iKWVGopXI?Mk(S%ARUVHAEGTdyHC=i2RlxQFVR z-8sLsn&pysmij>{>aa{Ra4 zj@M~gJFWby0d%M7#Yh_?tROW`&R8_|l+|dJu7hoGs1r2f(I#}HCT=%R;ZB}96@han zJv^!Urp5H(?hZ5_T`n&#Ujlg%Gw`c*NVj7Hjj-7=GW7#IF891iZrz3Cg=ZmdX=^cf z^sd-REj!zXSNIv7RqLh2NpZ<~qe4^L$wUZ>@{0I%+X06K3a6j~%zZ1!_Qgz!-!p=(w{MFSt7ev$h2-bAk0Sqec zf?-7Cydj<1j9&`~ATP6-^PZJUY*I-;a1gbqQy1n*{4Mw~A)`23d6v!S8`8P{D?g86 z%%fU5e!U{=lJ?RyjCp4yLTB+LM6%ZhD1$$UJtrlUPl*N4PeuJyt&i4_NF!&|Sm@!2 z<%>sFYs}`<3pxqkS5CGmmvBy$RQXuE+4WL)dt*vt78#Ep+(oQCa$pG71PaoD{S(MUOzkm=X2{v4)9MSORs~k0*rKVw!F6`ud>W zv)kag^L(zs0)=|t?P4d96dRiTF?>S!5~?$%I3g8zM4`jD8(-MOeGI4(U5lz$q@mgL z{2DX%*436j*iD#e_;ZlI3G?Y@wMQ);YJMhMq4s_*p7_wm-ZY#~w&c`W}V$>oYwKe4}4Nk$US~jI6-Sl z98+L;UM{$mFCnQzJNyD+TT-$W0>E6Ua48uw8u)tH{tug-kUtmXe`L$)0aWmJIe&Pc?}NJ5})5+z>Zo!?u=XvY8(j5sJR{u>D5et32}T*=w{|g7*q^0^OSj zD{o^ce(!wctQx)0J+-J@WZICspW3IpgF{ZC27P&BW+`VLCCsLZXJIm=!!^=LPQ0}GBrJ01R0Q*i z@lWYW}}_^jDHiUzHJt6xc-h1O-2OTrNYIH*O;R=r*MrkOSd+_^!}} zWHx>Tf08bfh^rSfPWoHC=Q135RWlFWE5I|**!Z^oT?xtl(Y{_EbahCv-wkT*zv%El z8)~4z)zn?QAfi!D#RH=Zc)xGmn>Vl_r3w&MLi;KSGIb_cak0#EYiulzYzWcHDg`;U z@b{)3z{lnIm_vt*3=9sytnM?Hn`=Qv696hex1M>32Pul+)p2^q7UT~UBF$rI$bzD&tGHQx zZ}$w7;)lR*QFOwXm!IPs29!~}>x4HB=rU1xnx^u$AhpIM^)%wV)i`O3^bM@jdweC? zLfk7;8bl!>ehfOg^kyW!LQ~yKq`8v)J~%<0Ju0>&1+C~zcGe|moT`Xl2T zW7Z;4M-Z}K)zZqg5CW9rEhXWImHmdXmuDjKxVf#<`<-|a6|xTD+Ohf~(Lz~?>{M9c zERx;aZI6?v_lHlqs8KH9L8RmtD{ec8MHftIk*t=4Rt%)I9BI&1`*`ara1`LAb&Kc` zc?kcGLkLpBV{TAbe$n5l*Eaw`JuWvzc9jaN`4Rek zjF0r;5=Mj#^+pW_po0zH6<2}D%)QDTEp7WvwZ1T_-xEzfeVQ}QVD>OQQ0#=WLo?40 zo=r2#U_!JRtXh#1EERjtC@2IF)aAjAsHdR@AD^SeIap8fB-P#eg$t`cf>V{&ybf)3 z+XT&*7v$u)3iD>dhB|V5KtHBv$4wAa2?7bjH9-bENR95Vu!F zTG@Z}79tpi$gZoWFxLbTe5$4x;`x&iv$HghpxgIC6W17?>Nb1ac+ELu@SvaItXZ2j z_d})GM>N=5yHu#7#%7s2+pmwcG0x;PHi-$w#yT4YQa~W_Wwub>Hk@f)+gDlxxy9sa z4>Hu$P-nz!Uu{kvZKolUrBy@*K7gJ+Fh1vZ3~z6sU)U9nsI>~7HpL5uNz~aSB_O)x zrGLZc!}}+vARs`$E~Q^hUDEh>Ty^pY~iFBBP@}gPz~Q z{nSh0?E|rXVZ^*wy`>r~05rOiA8@q3I~Nf*8{ z1y)6ji@R8*`CTZwY%K~`3v5(1s2dias$p%7;Fi$6T||(WoBW(aLkO~A++TXw4dvRU zUy_y%&&c4=)YQzO)i!k!#+}VWi-c9UjoeYkCQJxDu1=E6m3I{E#3f^VEBTui6jDw5 zaMgdvrukVp$m*+-Swk^RXN9=?XN$56oA?CFPH6MUIr@p8}afk#1&@7KJHF z|CCi4U{NZCksV4r>jZHPOr*a7!BQM)%bdomF`Zq51!kehI1L$C7nr)7&{^(oj4`nq zCp7vB9yy<0@+=dj$FvsQ-_3lM^z}%FwQcC#XNolv0QmShP;oMy*dM!kY+MUkXK z6(!+Iua$*u?92sR>>d`2Rp3ksm3BKYFL9QavTp}cDIS|T&MF_8DtwQI@X9=j2d%0? z(Vdkua9w(<{=aU^?N4f?cq6P4;{sm@=G{y5Oi~poeDarfE{7dxz1e;-&5glc=hymc zxrp4{+@r@h>tNS`I1cWPperVklO6&GZ^&JG_?TBUs;q-&+=AWw*NfxZww7S|nb$n) zBo)Nap%k0TahV~g+$@Rf;duG;;$~X@lifY^p2aWGwpiPdB!`lrc(@i!gi=$m3gWh) zOfoF6Q}FKgM+(;ATU6a#?yyEnRQa_TF>N)p8Tc@5_k(m&d2|}@#R#V;CW_8+sT`?k zyAk;KL1V>U8v^tHuI>yKvqdhPdz&M+;`*u6$P17}wa$i_KJEwioDn-?A#5UE{O)@V z18eSd;0AYe#Fi(&yR`x<`0MhBh!jFc4tsuxy(ZaO*m341xoM8~h_+#$J>gWwQK_hS zW#%!oRnW2K{w^ldS2-!H^emc2B zEVnQV8^4pt#DAaJYa+^EOvs6~yWOd@1Umon4ZcUDI6A|&x{gO`dNMYSN-EmY4~)N$ z@)`#ASCr4PI-TyBV!HorAWz1yUE)RI@NJ|tTbuR;o0>vYc}H&DW)&+X;b~VERd_a} zRk9-g`5E=PX749tawLnA1r_VhO!hs}7}YzS8_2?}-x-h}yIg-DHsu8Z1X@KDf-u?k z(qfyrs&w@kdj~H16)7uI+D9dbXcA<|=!iL!9pYtve@kwAOeAMau?W}?c`{j=lYB;$6a_;#c`Lh;l4VP*ksq6rW%H}Z(pDzqw2cQeP%?fC+PmB#3GCjd zB@`UTvJTc34N9DPP9>Gi|I|whTsR7k&37HyBjU;N5%sImC-fv~u5cp*mc|5aPb4CK zgJd?z@$Ew$d|T|5GwE*y*~K9lD*9{f?H$OQBPDtC3wTCTb6&_;y$X5h zW}9tjbs|n>WLw{sPQ2QA8_V64Od3k*aSz1n47Y z&HkRp-mxX8!7`Tcv-JrP=G;wegS0d;QaeFU;mwwfBtXBi7ej*%REE9nFEvBL8L zJoh@Wv0KZEu~kVuHb*9N|DZZhmPcrfD}Py~9d~KI^|g%st`ZZKN1@aDXl|Co@F9^B z!tC0xiC0sA93{8POJuw9?sH?rwX(g3O~!b;1uO!4A!1Ugr5c&eCFm zrtwgC`87KtN1gp99h>4SrVp-8C7T~8^_Jb^rKX4W796@CY+n+iq93B|k)Pjd`b_j#P++e??H zKvN5A6biyS29nR{E-MRh7kOtqR7^ZM?rdO_fq&Zj9f>LKQK%uV{KN&fSMn-mN`j02 zAKv_YhAQmSIU6TX>ymI9U5r=O_S84hIFiJ1G`cLuDlN#qpL+d{oO%?`PDbcRdV~S~ zTW4)dwGZn(00rH6=y5sb3M9;TzJK`O(Ib7D1?srEdiZIjOWO={=%IHIxt!_9Q^k2 z$XYi15y>s~jLZo%M?JRC;@q0__$O)aVT5RRGVD5XLcN@E*lYWif*H-rRBrgZP=00A z-}lY#*7DKb&+#$4;gL*CRcE=FULOWv1SA?cU7HVM!_UVsF1bbJtv`v=Y8>yO(HiUz zNH3!pj%@RCh?xjWv@*|aRJ#|Jv5+%f{yoiOBeobAT0-H-lb8jM^gIP2d0m_Ddw1HtZuU8Ql_0VmZ@QnFEH?1YQRlU7|45U#i=VV85rRq>+NdJ$jSZzj4bf&V#PV{knGvY8%}+z?A1pnSKGx&mD8T`{Gc0|`kRV7h zSAM@7Ur1#yc{}UTN9x$JgDM$mopY2*FyJG+5>W?O`}va1#<$~?8`}#PR6yW7k*~XB zhslJZhcg8eO>c`Oz7Uo zWCqGFSXumiKM!1*ZC`r(Z$g{!#Y|HolFwxDO5LcAd)l2s!(q&Wi>1YxV~w1gdg)p- zC8po}6#mcrkcib>rx&woNKSB~nv9OTFs(@BO-{HKAxTb6LJKuH@*EAf?`)=u5O&E4 zuQHYYVk<8oJ;F(!3zV4!vJKKY%P8%IdV$+VjpOkeSnfKbr6>jXJ+7^~p5f&E%O39f z$@4f9`5froPXwwZ15jr+%iGb71uoO@NYG@xV`uX5O_KScLc41BDD(bF@EyEVw4&uaw|(po|$X{z86_b)cRQDY}41RDZe z_Z5_|C+ye58VQQPRc@UY9`RMuDhCC2hBx-s`&*^3u!n5Nx7(sPMPt?&0@YUI4=Q8X zAj~^s(xg%6>fy4Cf+Bo%#;MO}ruS=VI_iq}dJ9WK*0lO5qtlhocB3 z4tob!3*;10(x31%Ni-_zQ%4DIG*925wz<{(G87Y>A^X*)SflM$^j^`kOjTRWn>IP2 zhnWUogW>Tj_w@cJpmSbgrxfrimyY)8UX8N%p{ajxpgFFFg`lAl>bY?(@^a*MJ_-pL z_nLh)(yQ0h4Ambz&deiu&W|(aJI6DP0tHt_1aeNJgSp6}JO($K5z&hAVJiy`nhxWX zLFMJ z(I)One$`=9%w=w9m1aNmRoL)>wLQ>JcobB0!|vS?K%Ulq!vm9ttPPkv1RQc^2j#uZ zxGBXl1(r6_RsRu`c-(EQzCsI1kv#Nfz^9&`6UzK}{}8M0?#WlY2WrRuk3hn_p(Aoa zx!EeIfK>c9U0{;}mFx9Koy^Gnel&j*Oh&JoQC;Oi;`X^FG!gQ!0Uvx}yep5K75eOm zkse87LiCZ*>RCnLzfS?M$$Jnj9Dkz3GBya?ll`$aY^G8rYhYT1*eAh;a2NP>KQ=bk zenGzC{V3RZ&;W5uS(K@1XM9T*acea|$2Dgqs5UKLXJ{y;#K&hYap>$gwan7ey^rD) zc3-!~!hQ$sz)XQz5cIVU$|J)+Y_vC2UiCa+b9|INbLtXq(Kw>vqf`#phOd~UXbn5U z6%gi_Kl{CstyJK{(#`=LufG9402c5cZ_0jj3iL2oJ$q!)xF`Hlg#-nGL1ocoPAcB!Bgod9#Q4lY3^VH+8$~?F?e?*JQf+I8$kI-C%P+_U)GVcF z#;Opp0^}7{7~$N#NemxEWd-mD0B9y}UJC)q-B3`1ZI&9DC*MV6JP7&#n$U$gS)(_` z4-r!zA`~{Dy$2i1=l*7uZ-X#vUlGmOJFR!<6Xbxly!jEBlHa`L>@OuzYrXJ)w#hv3 z)r-EWWw1Uj-%7LsS2><`?EtX5{KpXrw;mnEg{c0H?4;D$GLgrzOF6n=;4(@!U6pW` zOG;U8)+HrOZy}E?GwiOsp|PZFa~D1LD^Q2d&mvbu86hGlw-ZF z!t`N?=IckL&q~6t^Ivv(VlU}lpRLNyC{x>Ffve=eZ-Q|@&@vz?>WJn&TkhMB`T2Tq zFjAQht^#8Y!R_(yAfiGCX_(F;3bBV#{!6#*?Cp6Ly%6!-KC7V_NjvHjCmrG%5+73T z73~*~t@ERadL^bxRWbBDlIfj-wr5{-9EMshVl}g)PQsMkD(ymxw`YjYuApd~w!X+ouf2YjA?NCt`5JfGR>GhGSUd`Sj@y7!?6Razh(Icu==xer+PfA@&k0X;qKAsM2rHP z``+&j_W-b7C*-@^*Cbv$MSOVeEvLw^sg$EQjxegz7>e2-T`ru(@#W5-Tu}C$GEMM{ zK7O1sNiOr!`eV5!`!$9))jLxiQJ`1;SIquz#U=KjcChKtZzc7o^J<~(bn(CwL<<}V&z>O+zlcPVSe({$(@@-!;`~;-!Tocd#fzUBu zef@r&5h<@{_bQz-ogBrJtw*$8=)Wn*oOBu(eMUy8_Uik|hikX)myg*vfj_;vIZQ>c z+1)Q6By`5^eWKs|^*suS==cb1*33vs^ABDEU`CNf5-uJqaYp`d{Qp!7`}ksZk#JEX zl^{saJKbYW!Xy9QEcPyeLUVlo zo86~BGvAD&wWJhf)*yoP5 z{lR$QFNw{ngz=pCS_Pt|?X3O}z!c059CY4;wi8sz+5y4Shzy^FUhB9dU={e>8t=kvuw;AwS_xfCYXw%ry;xil3sKQ7?C^%VieE>RC*0&OT)5^lv zJKLR! zjtr~NJxSQX4HHWl4Z;q9B^Gc#@orLRM6 zgvq!bkZx3HHLi*O6ZGXbWZ+tLf@y7*z){`{r< zI(NV1Ri)K4ud;T1S_3*NQZ<$(yxv8?zqw2q9*+NC(y?*ljjgTkkZhnYm$0H%Wb_u2 z@4kUQvl)EM1=oa2kuY&9lZqOkYUyJU@ntU2lCZb=cr}t;=Ahhos`lqm1dx6i2*Wp4 zL}K(#;9*gIOms|V)uz-l|K)j?p-5XOq7`aFEoE4>NNFU&0Za9RciiX0%c6<90e74@ z%Sz1c&OQDS$u&*)W9xSRQ&N&<;v#pb8&!6SDI2O!$P8qgl6R>5kx}L{*sUyOT`)c> z@ZP=YwI6L9f51; z2Di%%&%U2BxG;H&V8^u$;}fvOF)VwIK1S=Z#(@yWhSPz4hjjF(_hBtyL4N@*c3Uco zgfq*Cm0@2JUI~1O;}CIRY_f%c7{RXJ`@xmIHsJIH#{(k6896iEk>-^A=43U{ru)RD z$QYmaWz2WC-T_8_TjER(T_yrx+qE+Pj;L_q`upnC8o#|QP)Z%P=TXkxkQG8R|Bjjv$-~8c0_RPeS zMsByLN*aXbL-2au{i4R5+YSmtm!=988$1~X2mD?H6Vy%j#YZIdVmZe-Q}x{oGNyzIUAC;_N`hj0sR~uHz0@@zMCpSbMOt)%#4hiNS7rp znfB1W4JW;VC?GW(q>pV}ZmiB?#piBw?AP*s_YmX^0d&68gr?IigpQ<qC;7qS|*Ft8zW3p1(?zx#PILY}Jl=Pv6NhJTu#47{0h z?W*$K7VCXs`St`PqQ$n~_~3xwOD zoju++77Bw}6GO@nmeV7M*L}a3jk~`y!-(G&^Qbnp8ehj%%P{_(-->3voWnZ;9uIxN zNJvi+E4)TswT~h$xQ9gEdIkXG$>GcT@ z(@Ni-bUQhx@Tw^b&K9vs8DS6q+FphHLr)x_&!yE2#yprsX+Nzfk5@jD=Xb}cCI}`_ z1H}8|fw1qeAJAEm0YcYB`h~c0GfGOzZ$R(}vNpL4K(M_ z`uVi&M^P%xtwYck1Du?GB$RroObnVXqcnk2vGWHRiue90}UX6vpk#NHcoJjLiXgA?m zGg7Xp9@;4#*uR2Qq*fY`wQsgiE~4fv!xruP+h2jS{|n*IYdiu@(IO;&;QtUNE<9JK zZ+w!N=Ci;98Hu-kuY(3c+y5^TiMHXt?Q>7=cTZFitd#PbCmy>QS$GdTo= zSU5T^zA;SLN8OC6yL3%YPd^)Cd#TRg;$?H9@%t6+Mw)=9J z0P+d9(Q)AyUAOPtxikLgyv8xj&Lym{o{CB+IpGg1=q(EV_=4nx_KA{ya);pk?elCyt~ne32QY~*qZGN$a1tb)GU{;M)cyic zdX^_9MKCI)iiBNKdAJV+K^Vi_8csGseP(=G7^i_%z2hK-qubP1)|IiV!b4IKI)VKH z&|i8Q4j>(W|JGC7e-Hoy3m*rHizR!1Ane{SHAi_d%84ngqcD<5Q4KR;k+Q!t%E^>8 zZRlp2p?=D$&A^B2H8X1H)J$JMi-%TRTM6wMcydJ{jiTLM#x4PK>frlMa;TlbL(oPp zzQ0u`@qY-i%vP5%e|IM27KQF{k6c*3oFz7UT!lqvb(tg2W0k>Pl)?Jyh=Nrb9ZcS$ ztkRHfwgT04__uOR7i8dU`EA;`*ErT=apZpFN!c!;8)E!FfuJW=lV!*czU%jZAOaq1r|gasOTe$m z66Xpq7I;3BAPs=_!uc)m17ur)|ixc-tv7KA$V4VkX5Y#OV#r5yAR_MR@eVW`4VxiYA0R(h`o z7W{#gKuhBA-)V+_DeyYxNQOawktf*zvi=m?-TgoK?}o4SdBtXJwPiL=8on_W^8XE4 zx36pOLj(-?uKj90AXK2QQ2+GbZWnJU-~VHi#~{R1%|9w9KGL$(9o!W`h*3iSiDedzUa32PG&DYqzM zUkeV0BIFDN1tv0l3!T%C>e5i5ssmPw7>U%2{4kWZs&9uWTyIN(t@J+dKbEo(%OFk> z1b(brz~4JB3K%AO`j`G2`8S&oi5GpXL`>JLkg%|@f7>15g&pC17yMSq&{E2Xmxo6V zN}J8BT)zBjxmx)$v;$3u$n$skgi`Dqgs~%@^&72=;OoiUq+B0 zF3ThDP1Y$l||O_69G6PW;1fRDIkyWm_niYCe8 zMpH?1z@?@aY9Ku=Lk9)xjgDa)4c^*mVEuqEDB^n~qK zZ(bovyM~RDFxvk}93`52HdgR0?edd@LbVB*Me(xXn;77Wb>HzLCESriHV>%v?-{o>)GsC#P?dW2@Em_{veSG=hKe!}T0ftWoD1#lphWBj~mG@lqo5BxlVDmsQMjt!N)t zOSnx1_CVF9Nwk(v>)1z2?H~r(ZLI|Ux~*&TVkg%wuIsm~M6-8gvK#@`y}kf2*zH>1 z;9@Ve|Kksk-$LpFveGjw!rfz&fWLX1t_Boe$gX*dGy84DcEI!6Znj%~XgM-fBxm*fU z(a9||$8=ObS&0UvFH`EByN7X?eo*1{wdJ(^k#EI%8dd25#IQ;a$#xLLxvxpngrAyi zlIj_|)u)v6dN>=;G`lx+|Ml>e&yL;cuJ8Y-*>w6Lu7DHhFd0@WXmOQhk%d|XHbZ>e zaGvVFI2aan27cR}`b3PzfgSv1TW|Q4{t-#p4I7gA+$rXb&76m-k4n5AA8r49y+MC6 z^i5Gr9N^y#Jgw8HD57^~_vcFB5b(5uPPw%n-F7~X@?FWKMJ7g%FSl=&*~W88Rv(DQaulF{iHzXXxWSOJ7ym z>T?lXOnOaQ%WK{k%_Ct%k4ApqcD?+Fc!WF*pn<`dFUK1nf`qNNzRj<&S%CwKUIgd- z171U$l}b=~Kihgsk(p)RrTr;?uY^v6%z*ARa|czG z5B1EJnS$YVDyx>%D?kpW|H6T}ED+ zaOLCcuSD6M2ILC!>13t)&c<#SMd|XFerg~+I?GlJsXqrDvOq6N(4MoVgw34}ueQpg z^10TR-a!^u!X10i3F?P}eJ= zd2*T}l#CD~cM()qpSH#uij>?gn-4Ph$uI-uW;Ju4ZL*!)44c(#u(HY zGM%#X=U-M$4uXE@^SZzhM@M_5kMoCqk2Odas@xiI!*T~FB*bB|&fcz}&b#UKB_#BK z-VFetuQG33Hv$H4&rNBoP|-cfoqAqtz#0Me1TypR@`Vo6jSD!6H**i!BK7}nVDBv{ zcrMmMY8TmSv|Sh^2w8{lH}|@*Kf9j5`4FXxl>!mMwd8r`_wsH{@T}IKvzf@bU|~E z^ayr5u+%Qa{W7oiEDbt!{)mRACWeyWL`nG?9)DuGw9VT9>9HJL-^}<3urcW#x-ACe zyC$Abr5T*+ zNhUFE7~b*n?87ZH0)sm-t;vk4%nO)}zPGlv$sOLA5Aj9KXX8c=llJ|N!G_>vamgt; zGd;A(O{4L2Vp0dBD_N0DV*(^eieCLRPoHm9g|Xtv5{H&&Hm)DL%7xx2_b-+#`?cyD zm&SYF`F2*zrn~j{E=Yq>?c&LB|4$>IpQnIlKORC(PgE3tJgu127sBa* zMfpZB#($5l#Y9p8ROCNwW<}r)GPp7XKPGqVFEnRcT^=kQNF1o!@j#6ZuWh zmtPi%LZ(pt)V5S3Pja&1J3NO=)~QZ3ga!>ZYPa@zf(cD#*Zjxmc+QNEezRjH&oj3> zVe_v(W=!<9cJHYPribm^-lxB@Fv3^f8YyXzZaH>!duoLgDJX&UqU{)- zH}DtQ7eu)ajlgSR7?jLz&3&F)y4*^$$~pvjNc+nFkDZwVZ!Az&`1 zd5GoR$_~ux`n?l9;X-EO7$Y4;2)IAX5}aB%zJCA1gjWL?#QC+EZatJXBza2c(9=OF6?si;{hf=_GP#Dsmd zqnw+2n$#(G@Xq%A?R<5m05!ow&!^pt4*}+RvSaUv{iq$TOFCHJBK{| z`txy^7%chSyzPK{oQ_ueTP8J?h(AK^It|tHgJ(~M^cW7IfQLap+^JCDAsfqbGKrn~ za3;}o$Kke)=sujZm~XW)&0AG;Na9x_kGCVsrOgIPcR>VviAMmd-SDxa zdN2O$c-uQdVTNz{xGNX?NcsGgd)!bTESgw-$1eZr5zs1{45BRdU5p*xvIMFpg$oqb?M zq$ydsJN?+LGSBtzd(Pr6`CgAhvUlk4m2){TM28k6Z_Q^q^tb+d?)v9w21_ugh-=w} z5S4nojCKf3eEJd<$II8Pp~--X=6_r8OgtGaL~P@x(m(9P@VWf#O}oZluOd2&twc%q z4_uv>?UN*I<)-Arwc7}&hr4|Y#z``J)dK52KutFuT3^>}4Ib`J62GqcX;!++EqeJn zA)rV>_r-^uotD;AL7_D!`{AY8jy8r5J1vJbMyMOgDZeI#)AIb0wq5utE^(Au;!`+J z>9G>`25HZUNB+GD#O5_67EwK=kIIooSr%khrJCLX`VFezdb6b4*W2X|cQz_mJVJDJPMbi1wr4Tw!9FIvf0XoU$=TdPdgKoi`53 zsJW%g((TR00nxedL`SBCEEn5*yOM2=Krzur`3XNzQ_EI$l##0B#jM}OC;^vsA}uB+ z=x6ngGAE9Hp(uWp9ZQV0EwAhO99DNW$>X+AV>gagbWGnU#$0uXB>fU68!od%=!jPG zeU{K-H?6y6_@CuN_h;4U=5w>QZqP!S6Cx4w6&UaCo}M#FDkP;^7*{BQ6t`}##hZ29 zU-oVR)b@!ho4mi#Dwj%V)ew!u^>^nPlrLN$^lNJGOirWap!)(j=GRu8l&S+4V$0cm zv(Q2k^p-YoTs0KNVXnc%1~lS@4+gdz3~tioR`N@n=@ZTfWzxrTXQYKo>6J{0qGz|$ z7IXfv3U_HLws%UZI|zTk(ccOPMj|1x925^9JS>v|yJ|{Q6xKy<`kUUyju=5L`VrMV zvy9h<_z3EH(8<1tBlxt)bo!+cj?yI`(`zwddKm)FqkAAmd};pf&P`hqA1OhHUTxLY zb5`R@_18BnrS(6y6;(DB7ikDs7U{wF{TM8s#dEzS_l}~bjZJ>x+|hy z!^K0V*MisdR832sLT~NaA;p;9hwHOD^{B!?D~lZY1FFw-lqn72cWe{M)5-M6x5oZK zn6OnJRe)009`)jos}a`j%r{Yig>UO(v6yuZEe^Gwdh8yPLE*8zye@ZP62%HIB6+am zhg|(evXo@m-~gox367f#Y#bym`O`U)*%`nNm+hA&;5xuu@Ga$N34Kk)2cwcvAQ)2Y<;;xU$;l6f-zFf7ro*B+t;|# z2bPIn;%}=@wYV7-Xy1XgFSLqygLD7I^9_e8{HoU;+7_5cd$)DdFBYda{aK*xJ-y$bm zmp44AgTRd!ZX!6)Q)hAQvlMBIG*TiUum^P=pIDxPi~yr4MA`T(DGZxojc)YV96 z0&3M=Q&!LMG&i*%Ot3Vrhoj}! zuldBy`UhL6uKJaJU5@%}X?C!^Zr3a%(7(`Ys`P{E4jGG>>LaC)P~C{Pw|Ng&0|)UK z>$vSX6wdwcq_R(*EQ#O2e8AKcq_siz+l=_8e0IDV#Ya$kijCkjSjD8%%$X3_sEEg0 z&%o8>#M#-e!Q*LosLr4XKcr{K(9pkPU>=Ow=J7N!G=plrZfA=_i#X$ag#X;QY6cLGFQrEvi?yjP9-~6SXlr%hX2RFJJUpNb_b`^d>`M5YO_0s zzj_+%DiGVy(fR7Djr*k`qx%(?1(DK5z&9WSqhNDmt9<)3e#ihFRfm8PzR+&^Tz@t8 z%CwCc-P1%xI4nQcBVMN9BGga~wSEe^(QhLimz136g}o$6dZ)LxnhkY$4ls@V+>{Fe?{(UpL}u-6(#-Lp68jZL$0IV^I_>3f=CVp*Z5#9UHfcRY z)rzo^4(UGj80FhKHjF>m@VSYYFh+d;@2^LtQiI~wRyGjox$EVfLg$9+(LM-{B0Z$s z4fGS-F|UBm?#JGAgNn4rd%l43(k{`27cGtF^C@MbB%GkrOFLGvvzqbIu1%M3U4du? z9m+{nwpT~OmwXq#Rw0?V+_}yD;*h(RRr9jA=%O!C4d^phbO6F@D?%L zcE3F%4jzLR4z^ngrQxcpHWAbq!EBY^GG(g(CbT>!l0SFXjV5bKK*GL?nsDw2^K+v0 zYD;e8TDZP z^X$8WIyTnr=)H8<^1O-xmiv6l&BD+uDGH-S37q@8Q{WvQn@stgQeXbHJ{VfD$YF~R zc_o7viEzd?=`qug)t6Ig`@oL*X@wH+EDvtvf8ReC1Xm8xz%m`7IGNLHK!j&ZpyZ$! zRe@I3R=J{(ExR-SRa4ZQEUsNkLK67Z@K0Xp3Ebq<%&e36j`!#PTT0S(Oam8Zi;W%!E-5ask!CrIsU{Q0TGVOyK`C{{Wp0Mix&iO6v1IuX|TKb zjzeDjryvg&pj&8>i?T|KV|tX@Rq6bFQtSvJ-+SbL%JrV%>|IL^mYs#5jy^F} zb``=^3zOj2H854ogvl&TNfzQSh&dH!w`f=DHQ~VmP`lRn1S}2k422p4Bf#BkqB`d-TaYTmtK`Y$pus0F$(<>ogkPERPeg_68$S zk1K1S+G~cM{g&%`37mF+V&g19>|1*MJKSM8;4U!MYxxJ?f#EAY9E>8JN3>>%;KMF#&l*45i(yl1+R!QZ~pk;G|2&gUGiz^S@e*$q4%CjImP!LFLs;q3}}1 z9!5RqBY6(JfP~=5r98j)cNa6iQ~co{xqpav=2_Y$zdG%0SD*!#mpNKn6lMJKhreO1 z2{a{<%+BwLx}*t|5G;j262RF@12DDooH38{cd8LXC?Z7$nap9gN|w!u`}h5(=w5uJ zH@flA()GtqpH{NC6{O+}efO^g##$p1Oz7ZicM8L9eIR%faLLX;jX$sT>h(7>kg{DW z!l-N$#e=A>bMSVtO=$-uVI5L%-ct=T-Wb%`my8+8;rLibPa|0FuBW6Sn)8(J2&W3v z3!9a$HU4~G`nzvz&tLU^=Xqs{pmZsx68jyLNTH=b%`DKB7ufe3DjKPs?mJtz)LPTSV*2G8ZV(oBBasWxka4H%_`7g~ju;A{?|y*YCMePUGl9 z1oq9Qa5?x4M`hbF8haOyuuu|sX%U1O&mWI{ia|`5xbx^^KriLA!&aO5V$HhlM#kOy z_vH{o!-o5I+7aKG-}Bn{^FUa%wga~ugvl-(?jnnY66YJc|^UON^*h@p+)ZB&nJ zV-~QhvLJxo?PiMSvJrOneP&3PRa!M0UR6ln42M{R1Fe1Yk6DLQ;XDg%Kw?UK!th$h zydk)7Xu;ER*<^I4eWF>3gjkKao?+`gdoGXJp0l9XHEMT(V2oZi^$`$FLHHsTiO*FE z`#AKWm&tD44TL!9nVH0pC3JZ%{gEpmPtJgtZO2{lDUQZ}PSFmHHc)xMcK6e9BtA64 zulDO7m)iJ?YuR?%uea*{?y+q?%X#O=!{EnqQnqC7uEO|@DDIM$ZPA}M{v&up+9OE+ zb?-}ni|TQk+y9h}i~hf4Nb$?g>CQ}oF`uq@@SKkb%&FFzL?-$4LFiv1# z6b46B*RZ@eI+?qF8$e8{^AP2tV}sYah9e`SRI>&2>A+wXS-I02u1LP8GZ>@!yFdtc zh(GO8bR!g_x1DtgUysJVh8wqnurlh}?T-}Zf<7{39umM524BMN;Yn9UgnL3h_$sR% z3BKv+(P`e|5im#0{~+bBllS$N8YsLeH}+))VP|D$Z&r7zm{#HLN$&n^lv(1@Ne#t_ zqfkpVFf#^|v9(Pa>_Iora#^K4+5(n-ychO0K6KwPy_Sk=^F=6n)?@@PZjqI1lJn<0 zx5s@~1Qul{{0LgRTVNvz+~V2dE=%gOMdEX1eh^g}01%-;A1xlXWtA=gkIC|))$BXi z{hfb?Fe!G}oJo;}rgmVK7xyU1enk@3``~l5#VIQb_m3WIcqGJIJ;UF2bZF%yT%7C< zgukDB?dQMzKYR=Z0_G{$p)WJGayzHTeHH}_l+@F?75g;=%r}*gzxNsXoT)>+0+u`T zJR;Lm^%Wd{^+0&K<*V}w(w4<8g<6e&p*iS&a)gnLSNb<H?^=EC>$Ink?s=o&#PhhI>D1#cg<=1gAsxV0W*K?$4trmlHc59y15y}r8K6qEsFCLaD_u$CegQh8M`qRmG5_(kGn?C2V zrM)!xm*D5*o)toGYv;MN2cnaEU*E`h&~a98LE6&TxHp?4y{oo!y%l##yL@*vu!c~3 zB2oHxv-^S@zf-1OKf(7y)L5;{vKI&`{a&a3#aIchPo%Nk8%GyIg|i^OQ0iDW`o}0{ zHnVL6%KYh1|3dtZQ+ECha05z>-YgPaoVmk4*17DjZj^vT6L~`(rz@mben+61{Y2@2 zKe%QxB2UrV7?TI8GaiaPGKhde=Eh;i@mhDl$0^+CT8zYk+h#voc*ka*0`*5RMHWiC zz)o=)ic>^pHZ(tx&t`vW0dk8;`z)~B_t{Z|7Ly;1|25w2SyUeMm>P%L;blPp&i!9z z04+@@$O?Ni92F{-_oI3zfsVIJ`y=p(kpGxZsb{Zx}++6=|e?}>#uT( zoY*HCQ#gI@+@by4CRQ{f`}uIoDROKZ-U{c<+7S~hms8ArPxiqPn@II>V2P|$MU7#l zNZLNojD*B72FE3VvC63V&3iJ!bmQZxP?~pI`IBl#)1n-lkHPDqm!)$IjYd;gyhf;h z#ZM<7zw#ru>?#=|WW0=IRq-YGqwW(@Y+nD^5zrM6^`TMssbzr;oL^)9DB%8I=mk0hZ!ne*+62smA zW<fbYIN<_>gGl z%o2e^0-2fKqpOD%SDHf&(rr!n`W#VJ_J>Bem*!8Cp#|izzAeG(TSERr1E^}5a8E^l zRhQw&>l!2L#|QDhhJ&}{q{w7$P~NGD-r=!8S)F?7o7S}{?`Svbc*cPIyLv*5=Y)-( z=}{9yBK$O#{N{{o>6MnAQJK0ln(ZC_tTxj#hvqu}$nJgxdDlxf>k<=BHu7MG>c~E4 zPM{a>${H0~M1auCabW9QUu+B|`|s}1K607dMI?eG=RuSMSanuGfhD$Zp(S~NHw4sZ zRB)l1p0r!Ne*cvS(U~fb25Es4W~GUkczObQNx{gMZjFr0Ij@3!O%i){Pqv2bA0mQ& zosqDj^H2du@4EO0o@<4K#bFqJc8V~^h>aP4=Ujsr(uzK_D%?4=IRY~g z%a_OhJTAcXci8)o3>A}U5-fia>c?8wvw8b(mCpQQ;>iRuk2kvPBu>oOePG{a=7-bu z-z@$-DaXyDt_=@s&X6;Ten(9!K2*I@X24Uh3pDs)UsTcU6S2y)${NQScHUk^RV^wK z`Ab*1mWlQqt5bEgIpx;cA`<96G_RHE zTo|{bVbz$%yF%PnGakF^&qQ?Q%n0pa5AMGskd-A?TZgNlyfFZWv& z&_R1L!E&0><9+%y&rY?_=n9V`RCM|4Cl8xe3o~oNHZcV`|E)AmxxLjzOG^h^0<}y1 z@(#CsElNA`lZUHo0nq5aJ#OYKwajoqMfk}NH_lmCgvOvRwq8qA&8E1b>FyEaGB5ke z`f(7ZwUkVYg0uSz(OIUHI4c4Dl$~KGr2<_0vS|bZXUS}@{-dh+Shb8y}QlcKFRU|Ng9|6qlE?A(_oT7I^>73_+!k|%OU!)cDPl-sY{rv*Bc z@QA%Kjbm{8GO0_S!HXLi%Inp_+M02_xnWqasmHg@5`uYZfE_210|XgxkUM7^CQ9RA z77 zmSao?%>~>JrB=|RwX`ViJL?ocDSl5}L|gq>;YPZTj8}dp3?|!V%&-Ye2D59m6Yyw( zw&1gs#oJ$rX~~Z`XM->?EQhJ@BU&!rT<``IXHmp7rtLPG$-KoSKM)h2u8L6MIihhb zspKgecmBdFZ|3Jy9l&_7{14$mp{Ui8x+>!X@3J@sOn)hL|uqJ^y2ui1&N} z!pfcgZ3O*{9x3mTnjM|@kKdi7xsR1a#qQ4D^PYBKj#tGdw2r9S+_APew93W0jB$)A zdD~7F^|Hf?GD2V=ynM(iZTXDH>3;+((44@U!#Km-Q@oc3sMARr@0o{J}w9OfJR zwdP|iB3a1~IH3Tda?h+fP635E3`_Rx;7`x9 zpN3p7+J$Vs^UsEW8hcbh@eugcJHxJ%8ClC6Lb%%jO1ZcKjq|%^WZ8>N^!CX7^Et0V zndMh-&&qQpK}%aT$%z}OmiKH7nwz+YLigx1Q^{e`GQOu3u8e+nu_$MAP9txRB1|YBE2KM2c(FEsz{M8JqQHp zy@w!Dl->fNhzOx5kpR*OML_T_{GD^}d7t-wgqwdrRFb{+UUSVc=A2`6>k>cW6);;mhniOO{|RY5-4()w6$orp3%Z)$b8NJa$@CDND1-0a&VSqB(; za*VXzaqhR=!3$qbIi=Tp+!0jmF=k$kK}V<_3`he^L@YKzRk3j9CgZoaWb`* z$5S>4O4(bzl|NoR?v#PC`r0jrd~Qm?3F$ya=6v?llgL6g3norE0a3MfK9j=6JH&mF z^!v}hy8l=4PJ8=T*YRRF9b_f_hzu0T70&+ik-Rd8eOq9~lV{!QPSVpmaQPl=HE3Dp_*LnjVoC*iB!{WPqy*+GxyiqoP!G2VJkmTFV@1`H zZpMr*hMc!A6d!t-4{}GouJ3p2C5Xc38*@<5juAEUzT593o(M_5&x{}Sjvsa0gQa4& zRLFXkOT{D`zw6#b{c#%He?6*2`o-^by{D`i=IP_?Ocda!0-yRuF1qpFb8JKvL4zL% z*18LTH;VOh?bj>VY`v4Z6N2uU(Qt^IbYrya6%?p)lX604J@rG3BfaBknzu%t^y(^T zgQlQ=*c+gq8|R+OUSQ-J_i?SdD~1NL{m(LeI5HyVY{TShU4Xc+QX|4Prtv zaIL%)2*Avbz6ovk&e#3P zqpL!KH={O$E@v^|2gVvvH!f;X6d2jhFWZf5KySM-l{dyZ-@iuU$~%%3A~&;iF*^e0 znxLL$^fCS?6YVV3y`KxI>X4U>KNc5&!{wwn=|W-gN1y_{4Q6@Ibzx0f{Hn?a&OJ70 zdZqTy?Y1OA*7FQlw=YJ}St$T6ZhpV|#SiM--$FUUcf|8C$ z`dx3XbugMwmD@fs^fR~=PRSzOWA8W z%Fh1)jW#qFOGW&SC$ya} z3``+SBRqLV-AJ{{gnS3blSE!Si|;y*YAfx9xwhDuGkh~Mn!}*U-9LTruReJlDUY9d zX>kQ5R>Y`UvB>}J3HdTJa@t@jBgW6^T)l~TuFu1U^+ zpM;4k|JM<>T>IsK^vn);KyP*wZ1OG@OY)RE;*>kX<&wH+;Y`&{(AFUd_`At6i=waD zf!_15)8i9P?vB%n1#u}c_WZgkj@T1WQrg6w#4 zuRy8Qk;4=ILs9i_96nDIk7!fMa6kRpGg7cKU#rEl0Hxx#^(x0T?DVhG*5mKYWkY`w zDQd8SwU3=pU;pC@D-U-)J?VNg}4P2>*1kdWH8*%Xy{O#BS8i*nVpZ#fUfJN-7r}*vEm*y> zz6PUemDN|?GyNqB!rn8Vlm|G!`!@6QkeQ{jymh7NvPARI!@e)eT{17I6?4>^4wVrM zb({=`-SyeY^K8!_US=9~WU?LRat z)JhV7kN?oY#c+w}dIa%}72R>-Z=%$aTBCe!I=rmt&xI?;HY z*cyioAAW~g`)m2hh{|4u7;Q@S>J8%;r2Qv0(6nJRKFpAerXhTl-%F`7QL0D$RRi?9 ziWew~97Xq^=R*jQk$uA`+d6kRT?16~?f8_^S%o!IL@aV|nP(xrkWON1C;}ERjj^<` zWr|?pnZ1hHFA`jO<5`6M+u?0vr7lb0dQ@uxr*mc!1^XYcl=|vHiLq&{<7kjh)6;5xZ_AxM`u%zK76Ysd7dG| z_i2TR8EV!|JcXn&?)}1AKQ4G$xc`E5-ZLt;^pgUPMamV8Q_8w`W<4J3H`g+w7hK*; zjNYls@$$Nf+x<JC9JG1#PV*pM`{*M7JYkZj2u zTv}@`$6^H+#bX8elcQPKjRw;roo*`cyH0G#eJuz+^9K^`GvXVB4V06Uk=1?}pUa1F9rbZoFD;>mx8JJl!c2YBPW*HvBOZsdcB)~TL z7Cci`d0kyP~$z} zkji`fmpBkSr&3sG)4mRCiz^d};Od)Y(8`%Tn=<}5BQwU>wk>{@K=p>7QyD4;ie_)JlS%C?tMH1~A)m*n&_|K^+q^l*-k|5SU? zYFgRed9u^PoWHO(9bQkU(x+MP55S|=ptet9fLv4 zvrQZXY6Ox8TSDig?q0&NQ>6FrDnC|-81J7J)igjaF%0-0WaBzA2mQJFWT(ZlgU|N1 zw2Wh+^K8e6iI-LjuN&r!Hkb$dod+>bYk2M~#!WAl+??*K`kolKCcfcu;l~!`ytfVF zF&8;C9-0f^CL>a4=7%fjfQUd+a}(0x$hhY|&FZmTY=c@ohKy-eXZ?FZMSqwx7p1M{@}9yuGV-n$B8Mcsr2>9eM{5Sr(?yKs7Qq#;(&(ug0MHX%tgQ_d*(*8DRIh!SmSlC^^}zi_|ow2Keq^H z@bYah@xD4YwJXWe?9`_7iyDD;E;a}c&8Oq>UYfK`()czJCQI1|8>hnGhsvu>4o=6~ zPfnA(8eSpBg@S)UeYObl@|pY_~q0{YexkIiD;VLxvRj+VTg4W9=C2IWhKG9-9&FlJIG7~;wApO&R%mwV;@r6hh zb|RwE>z0`%Hdb%tCK$t@n=d$VrsFHW>$hUW)$jV{Zqa(UqLTkcIGoYZXmw@{B1yBp zsr-Q111+V_C|FB<#cO1^wNrzoj}2nbzCMM$vDHa2Xt%I`)=qwZCu`$q^s0GRtGMjp zi{98@pFCzhAGNPDH#*!+y4jc6o?ivuP!djfH{+LA==EjfhdbPyQ%CB?|3TKg+p+V=Hw!?y<~wg0MckBsWtVYCuIq z)H&w!UiN99go9`n_4HQ2rl~JUG3V|$LW<60W>rmwHEW7ssbBP&(6ftN&%M|FyB>O* zf52;F**#Mv3>rU;<2E{z6lw2fekyIg*A=28Bf;NpIlDui04r|F*vyTj(ZueTOpk}R z9Lly}@b!q&wfU?*xszb5XqTZdPyP0hv(Ej?i0};aG1`VowIO|teiT_zd_jGMf-%y* zuqp3=>%}|06h)lKC_Mec#!yU;_PEG9{wi~ToxfTSeRjSPYK&f+<6k|snP(#2`q4@A z;UlZg;X`BmDyCs-IAnNVZ&Euk0EK*$K8=oqU5IKF`6*p5S}+-_G_%NKdXp)okg4)i zQP@wOvf+=MLc}{;XA^RwQvS;UMEN|b^^hR{FIah3RN5Qs(UdG*S1c}1vGz8nNQKR| z_)`cc+cdoldO{?N*D(<63iYYvho0OG^iFO<{BRRU)GNqGbhK z;(WvMUx`5W)f}&Zz23VyBexpEcsHWmS-tNrnQ@`b<&KdiT`fv~CT%rD(0xbMThZ80 z6WM=PnqkGCbR+dpd&LvQsU_(*+%-;ae!uTE?&YjdTiKJge@d!OMbW>~|9B^36KZq` z5U36VD0@_>rRwW@b1pg}iW4;@C+i1JLuW-2iLp*ci<{r>uFkWJ;{=mCZZz?7DdQ1| zoUz!SJN!j8&gRX9&9*?-2}-B2k=LHj$*)~!eXn9tg!RkWvK^1Heg3+Ox!dax)4ZwR zq8WQlmBZB;)nKpNlIM|}zfZb`-_&g3v=g=6Axt-^;@oOvlhS=Hkolf+$6%;TihJH) zZ{0}yT8X^zJkTJ;dTW3lm!(?SNp`;!HB~--O&sn~rY;)9_Gt}BpyPme)IeBbfzl4){n1B9RjH!dd3X)RECi6Zt6`O?SY)LfmT z_$=>^-)Bv^Jy%)GqH3&FSqPfMZFf|ndN$^G7zV2UWDS2-Q$bNUP7V3qf8)y^6Z>Gu zX@k+k|FtH1X)htiF)bcY1MUpbCEbWT83)dPH{-Tbg=iJ%O>-;lm*gEpkwMb$YvK;v zUs}YbJm}*(Ze0qTxk|4#d<*aLNoFI_q|#DHj^X#IjS-EL#en;Qb8j&AWI{v;5x<(= zWPX#)Qf#%+<*Ya!)BfwpVd(7~kl0tvvO;Ve5Ru6Rq&p54GaFvhkZSCphfn*5Q;gPe zlWB)!c@3$~Y@S@5ZFIBS@<_K&4@T=x8WK9u+3A69S0N&5j8LE|wbRYmAz=zz4Hk6u zOjVLGJYy&#yMvD9wxBr4Q?P-T$P#WM=$uD#DbdN*>A#S}EBthL;=I=nLwzMJ;2Erm zz>_0_gs>;IZ<%vvJ$H*@0%SwmN~H!O+K z4W&LK3OdHy&}s3znT}5x_hr0bS*v0aXTPgOB5B&!Qz;oHGXX&8Jt> z2^_4Vd10~$p;w3)ep4R&V@K(PJl$0WR+RM|DN#TXPyX~_twJnffP#VLTp4h1q_QpD9mr=0JmnHi|MJ(4zi zz0u`vV|5)@-H*EQv@)I2^b4cl@u^L(o3QzMPlf%-$Q_0lr|xJs?&-T5P;FaTsiQWJ zRoBm^7uzi0%SY)9U1HM+O0w5cFguXWBOl=EGYX{4YHL3l_yrn^BMCA)kyn)f8bGn^ z=)Ze*MdrGWv0QQY_*4N7t}v=YY*I~1RLXlfKq2Q{q6n*vVr{ju_N%L8W5e84pzjY? zt=2hNHSmP(T48ZGOglO0whv01B)v|XyVS^I0yGy9QCbmbA8u0oGj^xW{Q(=EN48;< zYG$9A<0LqN&<*WM9$6_Ad=T1RF-bnifX`%wKJHy_B8AN4DC9yhe$2dqE5uZvyX{0K zyxfCTd#qAC^T;NY1SNxvVT zsL8_To(q~TT^XoY_S|O?+4ooKa=bG*b{gWbiud17U3YJZw63Oc-WEUp%yw7wW6cMS z*W=hvrU5USZKI)A$YLW!MCSGXT)m&^gc>wzvW&z%=tl9GuFKuoDZD4`^kH>7ln4&tX;X5-_0+DAedD&{bXkEAy%%jw%aWaJjRqf)6OKJUXwbe> zE@^KYZ+X%%cogs*cJT@CMrO%9Zhd2XnrJ0G(-3@=lh*c+%?Osv2)V&r-X>I2Yx#;= z7dDtSgmoA?_yxbkV6SZ6tHs593ls05Y+i-3q-W9u$1Xbc^_RNmw=k+cZUt)MU4nt| z5=NG%>HIMmQ%9fT!>EKY%ONUI3e^;*!#hyb?g@F;sIW}E^T0b4wC#dRYE&a75E1Fu zf|chuGtu)qNQ|KDD9+g7hH{#~JFw|F9C<_gE9h@RHi$^;GNkdYS7DI3--jy4?PMmt z%d(Vhr|&a_ARWF;P%ruI+rETa4jxRhl8m_@_sVyuy9|e7NPik^#%*M(4nd0=LK=cfo=wX|(KF|2wVLMbw1=Hh){LzCR0-A2YeZqy43kf-4I^@c*u&8t>CWm{A^wdESu2o~~e_*DxV z3PKoVgyS^=uWs=_}SJs;^-$tc~Av?Co8z1ml?QB(y!>t7 z-7)#zkyXJ-!=$a=Gu|nags6j0s|cXoo`prhn3^av+h34kGbV?yVQhW=W|1nsjm4a# z72saX4$XUJrKN{ky26(?HpS?~(XkSjdA%~p2tg8dgAuM<3c)g+;no`m{@=$1A{-3s zDKHHW-K1{dFAzPkg7)PIf#j!STw)A(ZK&~+=-t#G_moutygNvYSvyYV z7EArY8ac2o0AHYmp7e( zdfyK!k9)51k+5c(0BJ-Kh`!cb=h6Pz)qvr{bgmLd#agv1p8A9Psou;sib5=W8fXPI<02cJXkD9 zQ~vPIqi`7NTXgSt$jr5_RwYH$7d#)u*F$=IrX$WPI?5!|2@F;`40eaFCRz6kEo^5C zQ4ziTwdm_>%!i)1t|i9BY|2`j@pZ2@Uj#A(!c=pMWk=_E=pZS^dNXSp2@38X(F

    }tXqqDvn+=nMbUvvv;nVz>HP~L?PE?dbYhtJyPnWareON({K>$@3f zu^v1iGs*10)_;3{-^^;@^{5g$-JzmAC0%vuL63*v`|@$<_+6@?ZO zW48|J+&Qe_B{uJQSQrH^Pk2?*)&GF;N5WikKW6X$EMIV3a7)`hpr$iiZ`ZYI9eJ{~ z-n)nqUFJC7W5bo{nWeX%*qV%ey_vDIu_T+YE!%RBt#8wh*aMcx5vHCb+mcV#vDZ%5 zD51fQ;FY>u@g+uFHh~|@5fX~L+s!)ZWBsYpX1;hHKup|cJutG7D$kD|N*g8*U_PGt zg4phnqdXGHV#FV%OC>~H$MaN_aXwoM&+L8ukP8b=x~q`Am(n&8;;|F+hI&V_+yO@6 zrlhn>->bfO%SN=Z-oI>a_=qH3o|2_i3W1cy*%F(O8qwojw&IuKapSHuY$GFkd7ppL zK=V3VBg6TthRqOqk3a!FaClYa&zDUhOzJebq^+=GPxJ*Rp4W)XP8rRTh;(ojksao@ z`h)>;{UriMgkEZ7CelEQ_i_vaA*J{N8HZ6n;xSpaJ6y`g(#@hX%LQ(_Dcu^(st&n{ z-QE7Rt&kb-lm`VNp{e3>R5$Q2b|$jU*2%fL&o)-QY5hRs3ET^>g#rx%D`R>rL<1FJAs*r0b5jc)c< zLQA{5rnI3hLZrMtp-3y{i~dqxo)?3fN+9#Yt^yYa9c^yYc_Ga6wm&~dxQCk3PfwF} z>3z?N4X`pE&9eY79gqGkMl$?j_)nT|dwt9tExa{5q z7z}$E;GY*krjPH-yo1l0HuNQpz(ulnrUnx*nj{1y8vkLn?T4mfWv30Ig8z$H9HED*th{^O-omp=@8xuODsqhMK4c8(EN1}P692WQ`kWjFZMCEF`EdHK53>y-akwjiw1c^?`rFTuQY+(Py4H=M za`7f$Dun@>jnXxqP-{)@Y-L$34uVh7WWl-30Q2Q}c6N!#^?Y^9 z8N(Ce9oQN6lw=F;`_@D;QW5qfHTWCKz~*QG%(fY`;1l_N)2p%%J!+_exj5Ui20S?C zZ>J~Rz4VM@Ma(!}R5)vc{2VYh(&P8t(IKU4-S*ST={GUds>ghugvr41b=MgLNC;-xFZ0?WVICFaj`h^^>6|Ks(>$TilWK7f zS*DIx4Gy9&5Pi9Oet&52nIaN2*}7)@qIO*%(CV=Nee(Vb0>*`I08fxKQZ>x->>-uS z{Q5=5xpRp5J_a0ev~(qIW!=mzKWU(hc!xlwp+M!EU#)Fzjd|>l#Bv8c`yXDH!Dy&4 zl5^2-xXDt@K}P)>qSAGerqXXX0#?1O`S&~AG}Fn-cnEviL#GWA7R!<6k z3Sp?JM}E}`(BVyASsAylt4R#LpR(?4WW+c2)Kkk24d}$Hid2gYa1*_Eys>iOc{O98 zkuTD~QDybfHG=p(YMRq0x9RXp0eBa6WtQt#AHt32Km-26Ol=~fa?p0V(J1|F^3}j{ zOLVjlrrh1+#uzN{?L^>w@SBCeDhE8zUQv0Tg_HV77ePcq;{ zwdXk?Gxna-B=!Nm^kJvRQ+v0|5KgkbWiZNm>^&;{CZUvR}*XAz&n7@iTG`W8hi0Z2yl-a1e&V|-IN{G`ylRwgwONbV#P3CSO zB~ozUFLWs;$Pp1u_^T^DG!PPO%CGuTo6nfQ@oP7AQiP|T(Fi%|jwN2mK-|D;RmS}~ zS~2@_x9%lI^_I>2_6I>b57gBBAgA`LM8&2XA4`7vOS9o!Fs1&UjTDL);Tn-gMV>MIa zIVjrI%4a6s2B88S2`=njyI{+)3a?c!2S^W;rINWBN9iK1iK`Tb%URpA=X^+nF)lze?EDa#+TJ4>kEv_VwRXdY08W|`8 zjfCpkgS)AXl015Weo-t`DsA~ydZ0$+&Buh#q=638NG0@xxllho?7Qv40x8RkV$T0O_!NQ#bp`c~z!mm#hs zMuS>QHccJjCelW{4z+Lnl*OHB)m`%|?Nnz0X+%N(??`*i!mq0jxQ{LloQS|QH1#IF zS^DjB>S-G2qPi-YpC6sIl4<-a2Bp5FmTlq}@pM#3P|OiwL5-iry$T!aysq`)o=x+( zvm3V)$oVmB-1bOJFG86W%lwGPKoEN^+`Cvk_`Xsczj_xbh`SLr=zg^iAjj(>0 zXvb|g1n<_~ZfNzA@rN%*yECe*&Aiakc{%a{^7!+omFb7hezl{lFC31NzXIT9Gym>~#jQG{HApw5$MErF6eRG$FaUlZ| z$D)f$FwuQAwKw0EwvrUipN0KV!aI!vw5Scj6n0C%H`-g-yeME;d9M1skufq;NT*Mi zpHq(QK@_Atpa0ik-)?#wQriG4xaJiXP~Rv|4F#PK8X=)8DvQDow!K!mB=6S)kuIo5 z>9mkw6v)Mdm_R^!>~A;y-Eknl_uaooAOfn8yRm;Az?hCsc!k8SgP_xgLLpBdkvlFM znNH31BH~YM!7x8t-#FfyQ-A;==vnz~I~EPc)a!N0SlT!nAtL}(G@8sLf_%PhP%Lqc zZioli81vO-`wu_}yFd<$bZ*;XeYa*L_NOH1k+9DmDWV}G+`l}ObMgWiNoL90kk3D} zn_7f|yjheicTvt7N6Zanq#g&^U+Rdda*jPd9lM!<3O8&P(g9*yOY>}u{#U1?g5VkT z!wR5^Kivp)D{tCLG)A&gUD+h2A}S?KE9)VC&z_y&;lesm7CN2MDs;!B7qX>MTYAN_ zWoZ8c=V8FJN8#21=it$YARee?R<*8BT_}Y4DpVuCJsSs*W4Le8zGNjp$~#3>QUZ_1 z$!PG6Qap7?r$;ZL@DNz$oDE`YCCZSaXCY+qQ;MR{gKu(L6okcicCJbay0BHUZYn8% z$O}nYWw-=hbmcP9ZHrR+}B|3N~Le@m7x3@8XtZDCNx&-p>m6{D}1v6|po1 zg@;csr?5A9JEfJd=9U;)7hH- z;l6nHBal%TBcml?4(Ba1_eHYkYtlqsdjX2UnOvs8SI!7;Xv^hzt1oHK7T-t#NKQLB zBcwxD>x|jMqGf+sb;#~+Dh(;&(c>62ob}h39NPvX9?ZZS4}%{9jOTWGDx6wxZ~iHZ zije;Nvb*v7mr+P1y^c()iA5df(q#UC2TI=DRut!O zRZlkp){&ctBtP>n3%V~ zn(%cKw^M55)_(1Y2?0`=)gwRR<+%72sru}$l z>E#6?h5LWTZcItbN}{OMwUK@X?Dh8w5{-OQ%f5E)WgM1mUgnW@oDxH03(zb5C~7 zY@!M10cYyVW99c(-(R_s*Kt)=7sEX_x0crmLf3ymzC(^MAx~}`JQJS20onwJvBZP! zBkVCkHItyOS{{VCMnv>0T0(?-^RsB45vvPut~NrhYVb9-_V715y%1woy#<-^HBYb` z__f4Yd6|jv>1~jgnWqT*EHY0192snrR~f$cCE-fVPaz%S<+5J5;SP}OvB?t2GWxu1 z_X2*eC;}D&vd_(09;C7a_h}IX$e78Il5$*)z=?6u zjqDncf;Ri;r6*#qpU6tFFfwMmvj6>12hLDL7+cE&4gRtTdV%<*PMHT`0A24Cj*U=q z4N0wxy{gP*9P-dIKHy}$L=isu!6|AJ074236MqJX7cUtp36;f0tDEiuJ2Jv2dD}7R zTFOSqrLLGaBQF}aUMPM}nT)s(s{E24X~op}zT4@3I8Rcne4%tI=%s@Xkd3OP+*yW! z7*rj4bIMRtE1mzEG>^CUzoh)YD{=Sq#(8p!ii5QP3X(^5Lv-V4=V(x=ejT#M&NNlr zM>zd?fv6Fro(lVWmGq1m!rGp^k_AXc$6l2ic#5LRejuvHiJm~fnuTg)!Ikxpe&Ya> z-}7}M;KKto!}WB^I&6yuqP5rvSqK4~jov>bHAs7fz5)MfsXTzBW+a~ZlpBt> zr%(|Vr3a94d%>HDl&YfYhF4G0-2PrAB5`?0{7>k<^_O8yGN)#`n!bJtbI^8&_q0QX zx=5xh1EeQ0^p713jFHq-h4(4N}7T z-LV0W%jet0W>&_a`D(I(g`b+n=_1&FHdeg2fk>!g(ql$}f2+?Rh<(u3*qsK;Qn?Az zEpG=0MdB_Q3S54vq@B5K&&82WA|iu$V(Jx3;0)#s91{k$CFbleA{8m6ln^1uF3pQE zke|T6Jb8Y8{xdcR6FARNlH>PoHsoYud~S~a{9^xXc!s8&yC-I3wEpB2k&~0dZJZAx zNv+p*{Um$(JB;+;Yn8dv+42z>zJHP+g{KEV!Gl9i$hLsrTcQL_Mb_;Hv?QjEqBJOUafrh>fU+;&b^Wfq(%I@kLFkO2VM$vd zEvCj4htq)VrmX)z@vIA$m|EkjBRF^EK(`m)6cDoL)3xc6VWIN)HLO&xSN~JJoEpr4 zIUx>gJh_X|#R-@>cX$)8IJZ{?fU_)9y-Z+0G19)VNOQWKR3`~?pDi`m((`RjMeY-G|&g7&Kj*jT0W#6yh#2O-RhM~7%8 zLiRefzIPX4P(sz(0bpLXUZ?#Vcteo6mf0vbGOL2tjq^>m1|a{(jj+{Iy15wf;80|v zSgJgl5X8XT1bQ!SRHgE59D)16=&oa16bX}-dtqUkMxPE(W63b&MK@$&*;k3#o;{-= zDitAHtoaS*KLrrW1Ex+noXfePAtBcFwmsLHf$K~+3fc_D0)BQ}W#bFTVmsT88a~t% zXjTG>`9J?)8snCyKAk=HIRcg@$vF>RJpPyy8ER(KP*9-Qe%Q8^xy4HxJD@7Jdjkf{ z7rBABM6vt5Cp-khUJhSOOaKL8cH3qi4iSMTWC9Azv!++;Gj7`fJMsfm+?{J$J9uoY zwh=JDm2>RAV=18oUv}vF41ld%MweA*Wi3PutqCgav36JTzzKx-ow*)}1eT28d>59h z5FopU#sYwsTAOc{z=5s4{c$(dP?V?s+J7+oRLXFduzFEjKO)gDIMjrOgrE{E%BuCP zz0!1^_P3<31>?aHJu3qy>b%}d`^;VTdHu%xa7W*A9_S$9WIRvV`WgXYq7VFiBJDl_ zy%Dqnm?)S2{_@h#aO%fG89+MVI3INc?EJDO{TrbAO(jbbpnL7hZf5hzsA0g&3(xY| z1LPmBC!`Eh75)r~V-7j0l5%B$XcOgSn-m!JL3r)RS@zb z+yA{R^CtC+AjPYciSbi59|eok%hv2i3^(nRu01|G2$S)atj8j%K@7IIL(7oh3ajPK#s+Qj-oR zfHx!}6B`91U?*C&#YMu2a>pwSH9oUmeVJRp;MGYNi?;MUkHKjW<0~_cn+qRrdRAkh z^R3gVKQ0dr4)-7A3;r@y%&V7(fy9h5<70)TB6`f#$s zSW^a(QztPw)95yQsLB?6e^lJ33F4PE!?p#6R1gGI;8t7H-J7I7mTepEukKtIvwZ%O z@<6S3BiSUSe}2fUrw;1XXt$5>4?#(oY1pgk=vw2@P*&58apTy!$*6rigO)2r#is}w!3dIq@Ef06*jcCj4?+o$P?@`n5?zQ2$8*< z9H{P~r!(uR&Dxvg(?1Lj*p7oEwe7oPBm~+e1kCK~r@#IcGc8U!LIxv#C!UQoqL=SX z^Oxu^I*Cm4jYLO#N(Bb-`Lx(pgSLkW++s`nbn$d=H^Jb(AcqGpCt~WhmsgP~a@HXw z(}j`m@`Q1iTCA9WI(D#Kd|%82{UKmc5&-U$eyi*#cb%p+ZI~4oo9e;y$zO$>Hmh1# z+4X?#ldD9fzLr_a!6@1gAb*y|GeCU zWQWClI={ampsk?ov|1{0?9A|0FB|ohC>4jH5nUhFF-9K;^@;B3B}6a9&235V<#6hg zn&qixoO+39y$$v)DQDw76P~^?2_fD~T@;RM(g|iWb9}2IkU%-HB`-2>X6bfbNAjW< zd3U}Y@GBNS-A5$Yp>_<;j)b6e#c>6AfBv8LpzDV`e!ygq`cp@S12|lH#SrQ7iV3D; zU)R4K;kbX*apNV6Wjv0}`rGk-o)Z0QuHr2VZ0$Ux&H0=h!X@2cngs`6JtD~Z$b1aG zhl}|(-RE}l9#T-|zO{pjbbl)*tm@4eY(=npFo#&COP&6b21`e}6icNBuk+2l^`tum z`2>GM0;VKhb$9`}zEGF+^Fv$_*P{Xahi;@vG>qBr)2)URHwarrL&z=zrK zB`(&^jT+`O(&ypJ{(fNVHRUrOj!Sb?viS_GvFo=@GQu%`TJa&CM*#*sR07$v&hEv! z+BYx*3R`}J)0Eui(x1?uGo={i$02WMjwCo;pH3x(=F|zE==E&2NHE+LPW+l-*7@mPYsdQ0;-gT6 zt7X-vk^Dkx$`TYAoGK1e?iA$MON8UF)y~EZ`?E~Mns(g?#1p!sslF}CEKDXZmwylW z6AdjqT~{i~b={A6dEz;Oy*J+(FzB&7!U!!{@ltz_>(99whzRQ1MdQ*RBt*NegEnWb z1jT!wR}21#_T}z-L6#(AV0=ivU_W{Xx?pDgrU&~+a4+V@D7$f-nszH!h;87jKHZ~b zJ9eSC9$)hg*4X@ng75xXcdkRkU0NPKHEv*0Jv+5=c->)ZMb^XGmz@|JG7|8co@n@%Vn&H(JdvVjrCiJCMit&z0fE*5C3l6)&B2 zuK48jC9jpqP5JMgeBBJeG02~ow>i33*JUJBTw^W0GL#lMOSmWP@&a%8u4nI)s2%sj zqt2WUxvLnpYDP4lIow7@@}$Al$UV#9?f#gtr(AD9aHe%I1!Tb0Ic9w}pY}4Woxv^d zYp;_S+e&=A15@{}@}_BLsmEf{($Y0p^qj!2)6BKd_J%5rN>wm+yMP-U3@G}G^J9Eh zsBC^Bn`jC9iu(DTk`O$djMCV;R<5E+bJk|^;bS@9`nQy_8j62jk zE0%pjr0=a%OF3KRe z0k+;wbHyGy#@}7up8FT;99wS6Rew4QSY2Do^25#^JO+|p`3J=3ztWZXe_UkQkU)zT z-%zq==n0lfXhQC}D;5Pk*P?r~3vZ+bX`b z3@mZ)hW_qiLu0PFkd#(8;~Axvvwe!8g#1_m5v-xxRCOBgZ9W1MyN;dBp?~^9Q_Ve^ zl^L0sO6E4}`dCxI4S0Nx==u5iy@9$w);#QZ%U?#|T+r@kV@>czt1RvL2YI6YpS8bj zMrIp<_y`Q>v_Ja+*I7UrfI-c7Vs1Z!w*qr#gAeB>I$Ldn4jOXP&Y{k3K3$vIxpgD; z7uhvaj7Y@+aviS)kf;6fYbrVJE&sj;=xgnt0DExcoekt0>CP+uL@$ZscNos!RmrWR zauhUY|JRE)pSa->=x_M1m&qHFz5o86=q0bp`+v{tzn>Tgg9`nBzuw0Hw(`IKKx7!F z@PB?qsVx|~`0tkj4afg@vvT@Z=bz<2uO~hK@2&oOE&l%tNP7!I`04iaRiJcIx!yQsm8^Cb9k_8$Y#g>O%kKV*ZP;^-nck_DFEz_D z%Tg&GC5fuSO%pX|XJ@8Q3&3uBtlMYe&lLQWW_;@C%gLYpnowCNlm4OUp#$m!zP1M3 zW>fXFWDlC#&y_ZnP@b#4X6L#9u(4Pxdn>vfe+%gc4~7>Ug3km$uCOmp?{hxqF0xit--Ptv3uoKOv$9m1cCGt^x6ur4} zY@OjoLREG9@h_LDENP?cjo|f@c81qEFwjJqU6}h&OiXOx*JQ;Kh_hn3iS{Cy`G*l+ ztWWHMh)ixrMn#>1Yn`8xhl&P^-M{}EIIniaHJ$DxhPsEyW1-JmKAx6&wCx*(j^!&i z%zO02(4283%G_M_n)ky(k2d7@zvzQoHT+JjfmQX#6yO*CeEPE_m;?Z!rO&V!Cv>^} zWHZYrv`bFqUiPy`A?8odb~EmsK5nw~e|jE5Pc=%@Prs!=YFfuV-QBYZN8ZeRK+I=h ztEKwE#(`kKSZqu{JS(ug{NMMWy}cdW1K@@0r`u=xf9^q02bq=7|GWp5TLBqQW6JvE zrl#U0=IIC8f$RDS;PeOw{w-yRWycGDPZ$1dQAw}dmd|;d;X6x2bQ>&Wa6%Oz@S6I9 z5m0vv@?N7c8+SvjT?IgvCuIh%Be=}f;8vFjuD@`*glSy+FF24&VC8jvO22%ek<(~Z z;RaFuE~=>wI<5t=6mD`HW+XHKfldZCwhW2Z9~8Sl6{H`qLfN0@!5Xpy-_FQFJsyH* z&U9ggERb*Irjp%zdz9&+*i<8$|`wWaNf|{uga;84%^#wGE?gMNz_yfFgp8(jlF;G}4W93ewUT z*aFfGDxK0jU?9>mfHX+VkORUH(%(7+&5x}cnYpexuQS##W`;OZnpP1Q!?n0S=Qg#slG^&?Pz0V6}6}} zWmDaYOof90s4~U2Qo*o@04`%n#5X%`Z?427OuiZl^jUllPMj7R*3G!25JkRBmu2Dh?l;eO#5LSn zCSc{b!vN+G+n!67i-_)Qp`@fVKeq@T6G8dqzfUo?RUa~8KhZbk9vMF_0j{PCFtKsIsV1WUpLs7pOd7|eLqfn_);?{2wyNK|34ebcTKC7CNBM8NOt zv2z$OA;$Txyb1I&#m-4?PAYZvQ&e4v5wc&7;5L+;Tp8M&b=$N~Tu%v{g9DS?*VOb& z);qR-u=Z}NXHAG5YAG9!*DYWlWm6auDqqO?<-H7F%O30Ev)(tf26m4j%&pMy)T#wo zF3A#A3sZVAlQKQ_#l`7vlR!>)`bl~AAD`Hky5$B+m zmTm7n{i?4Nu^;)GWtW^aBy3O{BSXC~TcU9S8T>=2M5+Q9d zo)d4$?_5S!y%Li{z3qw?bZmr7S3utJzAGqd8e)~J-X3A7{PDDQ4NJsyf~5Vi@K|k?9j3E8z_=JJ&>^dhqP}bJlpCTpLa& zZQ*a#&^NeQS~nr{iq7&vai85mXBNh+u}^fZ#3u4RB5OV#us(o}X%U^~pl!iFJmFn! zHQAg#m+F6Qh!(B&ac`orYcWTh@y+t~2q?83PX4LSr1Ltptwr{tO}0hQt0 zJLF78_Q8TQ=tZ_Y`N!g|>7l-Ezq zJ*aV#5h}fkDHRo-y-SNu7vp#mLo5&4XNGjKKX72Ck$~v*;3qg~j8q_J(6LIBkh=U-vRBdsh|Ze69MRB-N8&yFtVvz;<2 z2a2I!M2^K*Vh~KHmo+l_aS4v4IE^P z9gBGOBnh?~H*Sm}`idwe2KKP$mvY;W74f$LUT!O(H9axG<3cz%NpS9rl?-P*Z_Ry! zz?=FY;fd$=TJAR6_M+0Znu>JnabeVf`aDmY@A$rbqGG?Kwuw@#+2S4E?6C*5UO~Ll zv)b5efAwnFCm-elZ{@@}UCKL-yWU{}7E6&=R_p!EgIuL|zA}4=p2QA@6|_BY9&YH5 zg?(OUYgB6MYQyAAL95`d&@J!pQAs8JjxQ@=JEbh7+`NM;Y*&n#cS~67NIgBNlwN?b zD5v(Ow5~4yu%42;w1--pXIsb>^0rm=R)q43gCR9kA@A$)_w}^!pt7%=zu~m%R=uuY z^BycTUgULdWESOxX-EO#Q;5A4GF zSIAya)mLb#*dLwrzy#Mk3}SzqZqBGBzxiFN>q6--SEm6%h6$Wqs=?wr1_cV^!i{=6SkR%Y zYSC?_{VjHW-XTh9Wx&mF%hBjo1o1t~=C?yfC_Z!RhY1$-$0@S$@Aw^^aHdj_uSU}-O_Kk^_)wnn9OIMl6(~`R z6za3ZmC3Fid6MqGTo|pQiN`lE(naS6zjtc8qp4|&kA6EnEk2Q``Uux^rK{iRcsSLi zB^x%%r1!l-ad8$TgM&8GeppI+%v#pl4;3PtaH?aed!~$4^Q<&<+{tgjAt^&CBH>RLtsie zH9khI8U3=AI_RlO`HMpH1%!%HJgka33wKizFKe!M2I~dx;q)sM>aX(T{?c0H zZKr$7xPMw!pehRv(eW}K?irKxO`bwugO(1$R72VoQC;PsJ(n>r4hZDMV5*(>x!Q%B zpYvo=3(oQAWKQMx_EQ(;y<(9xZQBQRz%B|pBH4Q!A$=D8s<9+dj3uUP0@D@ZK|8H= z-Ix9!lT6q`h`AbHH5e~3d(PzH^A(T8XHLmvo5Ye|dx_?ia;dDTv$J#WT~mUP_BzUI@{JNCw5%^fw9pY5!$%J672+(%iKCQW*&^6kjI{Mt`XHO zU5gzTXU$&_;J@oT#WoHLF;mgy>uQ|app`~oi<*vxeWsbJ1z%A_WBf9t;PQ3d8D1Ig zw#nnS8Aba&rn4c$;I<{WFdg|jBQhbb5Gj|<<(Z%+_LCn|ZpC&2)o>~)S;|NL1tx6+T=#*XGnmnl}7mvJ1gFI4Lc&rTRH&xbFHbN3M#*(7O zbY57WSCu>7+G!7?(*$YXqV-+dbG@Sr7@EV_R;g@*VumpEh*4TYvD|N&4UI&#BAE%)&sJ7wtQ}E@Q#edP!9!SM}(( ziFJj~H6Dq+PY2frR~pb)kM`9h);M7-%etZ@?_jAv6dKk-&yzQXmot(rEmVFRbe{CG z-d6i_T6@|SnKjb4w<~3yA48c853Pn=Z8sa_bnYG4ZduLA$?@x+y-L}pj`Ot)<5CIO zYI0G@Xi+0gslGMHv?U3}VPAx)pV59}0uY0Z2&=YvAAr zQ=uM&+^4HwcJKlLdYYuXYVUYXHx&UHc9P?V-gUF{{&VV-wV_WrZDGXU(1 zWE}f@8RW_1%l`eR{M{|h16HeYloW+|rPxlz-iY*|t@V@`JHBLvMUP(9p8&!N;f_&A zF-cBm6^wzqevEUU?|O+ZKmXB$r7Vl6uyc$Pmbs5UeeAx@pl_=9j{Y=(HjTCZxRBkY z?JZaqmeB>%t#c3tTH)sKHpN{4D)nwucR>e>$(6MVz12<#{ky#AMz3>wyz!dz9O92y z66x%^X;-9Y#OXoc4Hj#$_ZmHp-*QopTHd7S?OsCy9%tJFBb z(K%;hKfybJ?}o10owv#>Jd3qmPd1A#)H6%|r$;F6pZR2N?|QFEPr2lLHS9eFiu|7)}7OVr*VW_*P>ZZ;qmIT)N6LjRDX%Yn~!4X;%|l0U}#f*@Uo6 zomg4*;oc#YZF43#6;d8P_j#h+ovR|1d4Z$-*txIn(m1r1c_2Z^{g$E-GX{Z7+-k`a z2mc4LPed8NTi#N+wVf^Tt3`P95N+?PfB?ngA127Ik#q33QNOj&xgC6PgKgEwLu5j} z4NQFbx99W{_EJ_C$`68wMKX6KH`CSGPb}sWhPpQPEJJwm_hacf)6rf2;nl*!k7>{A z-?V754$7*c2{jPvx@4df{|Fm=j5Yqgv83ORV6nC2mG{G42-i+m-=1gLHqy8>^$OcB zn+ZChZZA4)o!+DBRiA;-D_4Csqw4|NKTTK(I-W##)xx+%gI--KC^JcAMS=WT!IB-? z$u1&vKXp@2>KB{dIn>%GqOcVJ;ym@Lfb5hfPek)%tIgl3JG`J=Btc)DpBQx~*(B~B zd;g$cZ*emv+uZq+=`26Zzz~8B+H*X=UnY+l6$UH=Zyh&>qCu-nLQ)ox^C-T^>rd%wv%^`>PX%APGX?5C#0H;-rS%H7iM ztVW$Krg8Wf`*6g#@DE~sNn|`Cm;{KVyz-9%X&Wt@*%l?(Ht$P0fjg62PjTF`KZHUFK=olQP;)1;2g|xab$- z?&3GntnA$zb>+GJCEEVQD2dNM?l3OnfH$ZKebvy~Prufk5sltO;sUgOI-6PXX3FtL z$!q_i!w$p8hMBHn<}{uE%Oj9Ay|D*2B>+wpP~VGhw{M;}ht?(&^m$qxdj0CvH^?iF z7a0F{^dk>G7!)rh6!(oy8*Z0F#wfV}e3wRVZ}0g{Oj(&WlG?47+WhwtJfZ!uz|JlRnM#pD`V_2J$gR%at5an0FBEu+{{?bIVV`Oh}Rulpw})i zSLkqqN`jr2-`;1^+{V=6zxWZ^OzsmGJuu>lm1Rzu|8Y zexG(18kyLAO~{3$9QwN*Z;SsA#g)i-+mYWG($+>p1n}8ujBP@c77iI8qET=zxt?)l zUa-qF0@22>G_dnNHOemH%5UH?{Ul8M4ZZ+~PmG9(iNT@NKDnTveZv#N+=%I%3Ps2< zc*~%H91e2Gw2g_IQoW;sEFKeYrP)_@z6hJb=W@?@=AqH0fd16WOnq#PlJGz~*fb`t zXXWMb`mV-0wbVa#UnTD^#vy_+qNpo=-2L|4ZnBeCHih(RM-hAZ_#Sa6c%iQDCT=); zbm3cZM-rOQN1oDo9A-cCi%MiH=vZ#Z`YOP6GrdJ};T+okF4^r|Ud=yzpKidQ+X9<- zcH!!m0O#u~2g%41!)Ye2&-{Eu-D0SC_FqrE+B%9Ia_>WsOHntJ+a7GR#)`poI7uUG zcf%If5S9;EyVEMdPv=E}#BU|{92gitcZpuoogX;XM&WBczMd#VZLq!86*GrW*mEKE z^6Q&In0ZR#CWdYau;?jKC+|6K*D_^g70g5y%BW@Eltxa!;$lJc0D*pQgs;Z|&D~hBhzyv&m;G&!FJ6X?kEzkDdjFN>+m zgPB+n3wnY6Fa6oTfTt|w&+gyx_B{FE8*QX(oo1s{7IH2$PflGgrQNq2(R%Ic@d zMVO7o4)~q%^K+kzil8Ra*Ctgx4@`nzefVr|xghB+WHi$DSXx7iFkKDFCZhNznm;dU zoiFVCV^hqSFp~9=efoQeno4XuI10k&UO4ghR`3dLnO8}7_wRpyB)5k}3O(c6V{|*8 z1^@lOWpT|S=DnC*;G3QPODHF1VRN`8_HYG?!n}I(mm^mG!DDY?e?w0L(auL+{~cf4 zL87Z!lUrT!{SNr~i)(-QYQOv^?hbXq$tS4(-=E^5DQ`?-z%S@z{m$H(zhoaxEA?8% z>z}v}@H(Uw!-&!B|NC5_i|oFBDB3PJ!HdBcet7E7lc}k6kU*7jG3`Rxb0?DM)D%rfxzcf53f zIiVL!?C>HnW9@6`h_3zbRFVmpn*~dmN-EOOB%;OkRC4hYf4gl?Zmt)Oo#^ssEvg%J zeXzmMqJaqwVD=!|LT($phf4U)*C9?rj2C8ZM=6jvf;78ipH6*`v0#mJ4%YJ|6cN3J z&@GUWsi!ADh)1JsblZ`Z^b;~-N@lHK_D%R7Wl~6ke%f@LbThv$l!>%5-~YKwga}>{ zfWu%x@ACA7Yb452f?TG5G_UCIEIN44on0s4iYr6D)vFDt!r(m1=EO}LqCCB(R1^NK zb675Y-Sep$B8W!7{m%>-q6?8;Y7DY=Eg^L58sCt{ybR6=)A5!#K0(3rDE8f$uHMT0 zjp0rJaB&Q1r#Y{I|FN&_*O+JyA+}2S_O?<MB#rt=n}n& zsAj@xb-s=z_Y2p~FQ{E=npW@-N8cUxoy?$Xr;RWG&XWGo&x7Ls+`$a|QHciskY=`y zdb=ed~>yqg#6go zxB;dkWVJA@$dTv>kz5OiSp_ECh;|IRV@BPZLli9gBFgw2m}J4A8eV?>*+P@gZ@3qm zMe*cT)zh~&K0#sD1uBS^v_L~q2@0ZwKm|0EH4oju3A-LX)QU6-?%(fLlR&rt4so;L z;o-rW`@JC!ih$57#&O7dMaI{++S$#m@zhf$ebhPUgh#|9)^~f+>i|=m;tf50DRpyIQ3t< zi=HOSsOUU}+#vV=ITV%YxT-fC=f#x}k0i3aL9ET^AQI7fap}@$g)og$sQ)A^l{;;H zmCL<0IA}}z26C$#C>B6#EwxA~;y7X%v7QVDr>}}F+#irP3yah9YFG8Rx zX3B35RS>NrNSiUB|9Ck#YavNIM%+Yn$~pS?uVL$k+OaQ|Xf~25I{+Dw@G3A+?&{S? zOx}xa{08HtqXGQM{P1mC-W8`O3v2_)8WrZv?KA%pms2qtY?D*=HFTgu(gP)dxPGVB zu-calH@z;QkE7w-*=(h2C6>EQ@arHBImaB>dOuFDtO;ang=u#OA=<=yy1A9;xpb;K zP9{f0$9srK0hf&%W!WyhIGX;zkQdStA)EWcMX{{tGq3pv$Dlv`UQ81R0z(z$<>pn2 zvu@tr-q-IsAy#JE5bYAE1?0l_tJG0pe!WkXL>L~jj+;j zGO&55;KM_E3-SAK-+x0iH9cM3m`af32t}ZZ8^v`b_u(QbK)isxrz=t*yjg)c*{in& z-D5=vE10=P5JlN=CEOo*{&tx~`U4O5tX6*E=V2pQB^Un0TZwE4pD@-A_kx^7@NN7) zyT6Lb$o$CESjQJA=L@kbL8wYDI-A;ySApwMhHOxKzzy2vyqq@obcJVGHWn;523?GJ z%!EJ+^^WhvIpu_uC+?Y0Eo0)3_UpDk;fwk(0`^+H@cj4%(0ge>KK5FCrK~j!W~%0F z**LQZ^b1CkwBEwLyWJl?dQnnSE3FR{#4mBI0=&x=F!~KaRN5G?GA5@c-h3!tT^(bU zx(He<*a_?-@9v3YfdWE)ZWgc%Z*qeXJQBDQeJBfXfg+*|R{9uhxxuD<7g2tw@L>hy z9!j&Abvy0K`wlu7 zV7SNYCTvIG4|p{&;yG>HzT`hc5XTFs zarX6$7QZM{6zCC{X~@Xw20Mk7P1!jRv`Q=djf^92GX8ii<hl{lGjNDv+}^W z$B9ABT6p4H^uZ-9QtS&JXQV4iA4?Jx=d($S=qc;bbG`Yr_V|oI1mP<^6!e~7ik8a~ zDaFTUhVSzrh0uR*Q~CV7`npYXlZ+H`;MIY}jgCmI`5VtUwa>ZAJry2kbbacMVV!JN z>KG$-bQ&vBoP#ZchUxDG%e0mYgQGDPFB2H)-0pw(QXVaIQKTZ~yBjp0CY@CFv+rg| z_eK_}Y2f%BtQG9y@}blip7)>NKMf2R+|4t~Y*`s=CrNLranAbA9)g%sbJsW@0stns za$VAgD4#Kk@5Hu%MGJ(Y&!lq?0h)ljYwxKmGP@H@cj!cRVK1X>%TMI+MA%1QXC!-I zN2|mO|pKi6Rx>JJ_-~pA%6;GeMaH zGVDde?IptnXkD&=PHgQW>rSu1oy;%IakeH0T#SUe*$I)2aWPAG~ZPCnC0w0Uny zEw%B%YsQ2nWL$EkY{7ne+5Rna8H%re6aU1^?i!?#NjnTxptCsybN?Z5%PQB6lbwS# zCEa|-e^5Lw(K=m$v&?tl`?Hta-?l9#W}F+hux*jWu^1_N6ZAUHFyX9}|ZI(+_OM>TRPGQj4z6;05CWa3Yhxny7gLguMYG+Fg<;W`+&TM}eByTPu4> z!=nWLS2=m={P*K5EV+w+@)G%jU_h7>W;yZ(E?ScX|Eddz3xI%gK}dgs{WFE9Izati zwcONr-zV7(elyX$Lm{ziXowpvMjSfS&^&bPRM(U-G&D?hLw5rJ+<{M(10|c@ZB3_&i=aq2d#n6=ComByOIj8&iWeDtJn4u(+b)UyoGGK0H7i2{B&NXX1ZcmK@b!HdJzh%RUZ;5?e9OjSid^!R;`N^6o2n9%|Y>|8|e!&S z?EeRlqEGH20)glP0E!KU+iRNjrhF+fMP}OhHeFn+{o|6X(?7C9N-#^=P|$BMslPK@ z1sd#Z!F1zgZSABUThWD4Gcd0BTsa%L3dfq?NT*Ap8?jkvTysSK{;)ri$TouRij`%( zyUw&RoRg&V1w`7_%F;3j@i7ZqE7jH53Y67>u}Dn^4|lP1k(Q#o_3c(aWHd}hqcX79 zqgP1D6PK-Ba6?ga^6V;NM}2adz!QF27A z0-)VsrM#;i1gq?zrnhY?F|6_^vV~}$d4-1bAszffF6RoMeK@A%qy`?xLAXc4ORi+Z zfVF;iobT4EBRIw4oK2u5jjq|@;pKD`9OCe*tXF@WflT*rJFNjq~|~u znf;#?_#P)vHEb}iuatG)7+eA2lFy!Sx)`GpX{5KluD|k%zaq|Hfl zKLb$QfhiSRLHazhDKPu3t+gXSCJt}#i=vrOm`Ca5(Ds&_cD`x-E9#@9kCG0Bwn9-i zcTUkSrVrL2*tWt@Y(nKg7$kv4Kl*^Qjpnhxe_zXBwLvr7i2KhYZKG)&D05ed9DjLk z>4M0tI%!9={`!z|v5;JC1%=uJUl#;76qgb7(}Ms;&Z1+R|QA87+!WFJjYyg zo2{lvgNFh<@@=}a7wzB|I$rHPJ`o26PWdQKZ-mG{W@y7)1eDJ>g#Eng>Z-|2PnQA4 zg8e3w!{b$;oeJp1@nmbIYO z6~Ke^+ctNO^QC$>*4(CppTPfL?1LOV6qF}W5_K47WanT}NjGbKcrYk`PIzZz*=ikQ zgFja`@#~tM@`nh~HO`d^fxwiiZ%Ma7)=)F4#|XX*$8}BLLL;)?6TNZhJFQbxA!Q8S z^XAQ`C`5@`EI5g#`gM#w>3xZk+KO3=Jh{nNzhpEE+=V7HQR6S~YWMKuem*>uyJ!Gc z?+D*}Y$DF7MZ`S33#zR`sTUok4nF*YMXG%QZ~fVRxsA5B(O!J6lok0I?BU>bN<5Zu z4V`B}@LnsLRMw}B5!?yO=;VfZp+iB8oi$ULmIIe-6lncZa&k`Hs)Uw8V+A zubGm5&u?uk^+xRpW}ajL29?NE`UVI1v6>2O``{&z<^_%tL6Ae5U|Yd?W23KnGp4Y( zxB-|6Qvi6vfB-8qUf%)irgAOf#l$VS`mztQqo7mz61^#PRg~AHoMAA+7#0c=Hf^!3 zC}U|<*VGT&UIF#-Sg5Mv8#wzksU&~@q?ox#x}~&K9&ST({3`PcdYxdon?uxwh zacj#ptx6IUYo%<=5QpLo2eQ7eqp~=_wiaG!RvKfc#3|QC=1VtzJ(UUtt!w@2cmg*7 z0tja;ez#6KC6}f^1{|VUHKh(K?O!WvYrYUpZm1@bIUn-I*0AnD`I=01fYjFSTg3;i z9mZ>O5=ebNq`k>KV2eT~3NJ>5R}(g&5+vc!p+nz*@v{~o6t*|b34DX9h&Q_SRYiZV zG=WY`S|#z@cIA`j`7aXDCJLS=Iyt2y6e3e;?~_VOggTZ>pu`Clj^~*^!;`@<#gJPv zKnQ5JBliYxoe-bpr&1dqo4mv(lR_4x+Itd^sf_JlW!Y{|(zq{8$9vAcImli4T@T86 zGR;Q6zD_yuDMU%~BI{%3m<{TaaSF*tsMge4sBmC?#Xex zAaWM34@m@@%)NxntpK;m&;LA@K1YKmP!T;sn7OaOY(Cwokhqd%A<>vsz7BYhp8JLEvku%-%i@o>h0Db}Fqb&E= z(blfNc9Y{=lQT<*eW2O$%R-(>1$nG^4qtUQCY%{n?^mNlgr=? z++)8z@{(K7qzW*B>D!A2Wxxf+N9{+MF&RtH8oF$R_W`U6o)30!qIsJym%orUy(KqIRG(8naN@nPv z3=YmTywAzW(FW=^F1(fF$HYWh)X((H1_RAT_GYG@W3;s6=Z{j)0&B7rlst*vd7SJ(5Pg0^{et|ay!ai#a9jOJr=GW#EykMaEZ8ave6)&;Z&n%;yu)R&cT>?xp@+HVL zIbO)vJR;@nG&QqU7SB3R#HKm|t)g$mdrVz~Sa|F7aY0+OAe7@bXDnjw&B56|cAIoB zhoR*0Qs7m#u;``v@64VV>FMcdb@HsL)_cRDTPk>*xsa^G_@&a8j9UjvDicsF;nfgo>%dtweeM zBdqV}G}1ov*w?ew+j?eHuJb@+c!8o9eHHrFw;lUKTIgd)dD!D}ibWqNlW44EFyw%g zk8NtrXm?fFk$v~ioH;{uWFhmr<7Mx*O*Pco!VKvj&It(W=sD2wg*uCJ&foXyb#XQ} zA9i`E{WkUTV5Y%RhE;X@f%qw;eMG7ee7=Up^LHGq)|!|m{Iy61-Ey5Tt_{q1cj$yt zRQPhPb6F%~xoIbIorHX19f>G%JqM=F_Z1zQH6Kljfqm8Ti@vMXugpU0Ccf<1Lr?B!_fsMO3~UxPzFRqAvN zOzn`QYC;bN>m-+XiJK&{4aO^>pl!|TJ0EvniG2i|pxPvHVFCKuf^V6jwGF^WDw9AH zCE67g71hI(a$E(0hn=jcBIP2p?}kI!(huEcT)U!JcG}&RPUB$|HF-gKcQ`}U#C1n# z6aKW{lj9%Ax`g!`YZWhzeXexGc4a0o9kIVJJ)>p&@v(cxUz)LYD&0PQS^GB#Q)$x< zxM-1BJP>U}FBYKs3e0M=eFGS9y?9rgXE#uO%r^&Tj?^giJ}5eqPSyuVH>JD*5S6>M z6IS+)C#u1hO92r~{I?g-(f*lQ$_q;XF$xQD6Wrm{+KgCu!sZkWqM)G&x4?O0Z6YJS zY;fkXTY!n~8(UT1S*rtW+MisAVyy{I2@hxC%&xhj4r%PNVKYOLXK?fb%kv?; zRVSUp1~*rRxS`8<$rua}hC`Gb&IA8<#LU>Rv(}=)d1K3QYWY zriKcH9v5-~OD`Is!PO*3WxDbfp%KOI)k8Onlh1F8iOkmL4BJxIM@Up8C*9qepTAuY z2Oos>20=RR5IXiP^% zfi1 zH7r~Y_;Nx{!{w{#=NyS4i0u>OI}|iWkZ0ccrgki6`4vUY2EdjyvU(~64K!E!os_OG z{|SV@b|B9wo#!d}vyYy*e;&mE?59xHc)b}C=Ev)iw?0>1=M3mB4%=jVr;?KMtq+@U zxQo{6Sx|77xGYwTEf0a(WpbJi7<3(Gw|$PvBQiNOC;>%$z&PaO+*jR^ZxGG z?|RFd-^1KtCW44y*}A~YlH<2^7ZYbelx~zJN7qWS{g)86uMsJwoS79S=Kk@^T__fg z+vjmv?n9_bezI0oRTWyJF^!NQeW@HE4JKI{Cd_?nLRqq@K)1J+ooH&v83;}p&~@tx z>X&?Ao%h*t)4|h(HLTc7)Rz16$S`UmJOkzN2ZO*RsTZ%WK>-{q+Nw4ht2bUEbz6v! z+g#O31Dg9#Dj$TCPf8l0T|iUe%9FvP zMRa#yNi>zfU@o5RcZhwL)7RC-3f0p@j1r6%>`0=edn&-w-~F@qNUAD$fp6^BI71Ij z??zmTdf^MwJbE8L!{~Z-j&y1P_&Nwi2JBE&oOCv%UL?1~d)>7ldJYgpu0G74d&)Fz z6}K<#dhDSgemf7T?XEN8vu9sDH`z-~ET%HOLV&oj<_d}+AUtA|Nmg+LBDB@LN{+j# zBlZgh(JBA=EC{37=<#MAf-mMgj70*zEcaHNHX2;METk6I2<~2A2f=1m?0%~_?GCH< zqfielJB;2*n zT;w7hvwnO)YQcoHY89`euP7>j28Vv^d)^Ogj4vH31si8z>70u?nr|X@bZWobNa@Nh1C0}2w@{5b4hw$&BDhwvaSr>tUNf1khBX!8a90XG-sqyipc#KAl-bDs| z=Qkk9+2iS+INwK zf?9ZsWS!pOf2fEz+A)U$%173DCoKn|#~zyGi7k7oz|K=vNh$CUC1n(ilAJB-A?En| z7yAChS~q@kv-tb7vth9K!FH3P$Z=A^*Ev7E)V zy9yy6sgg?wr#kLo^+P$T#HG>Y*}J+1~}H z(YXYW9^k;YA{4RsVS{F5(*Bl_44qHUqKh4U7rTh72+_pv9X>~1d!qZ??Y4M#SW9be zPu&Tx=_Sw+Gv)0+h|)Mzrqf)H>d|pX){68`8o35{*YH+73i^3&btl}u!30w1DYA(m z)#a3kLFoxw)jF9U-x(4Db!t=m<3N!_KJi+k19ZCJYqfnnQ$K0v0*lxxN`b_Kk8pNN zx4P(yfGVb`egzTn5aI|WB`2HpF2xgL$0HqMSk}Hj9oycl-eyHy97z}htRMf?Lu6Ay z?QNV{iA(2+FP%E2KJE0Vih{yH$4Mq7GvN3!d_|JC=U}sDN6|aBzh$|bBfy_Qm+pINoszGNHO`M3I&S+;tRJ5td*e3FRhw~JA+yV#^uAkPvR0v zuO8yQ0A;8n`o(T8Sm#psve|SEOp!*>2@(t40XQ#|!x%=)sY*2`XbZ)LdehW@-aX>54tZ4=!j&5cT(CCCC zwFT4x>>kL;%e%eYXD_9iLkkxN%v3XSJdjEOmJD~_O156*n^W^^9?+qu+_#7x(BY== z9@|%a`B@TLQO!DH25@w&7T?jFpaj_M-SwBU<=KOZs0I>VQ;&qYb?3v}eXMOi!p7cP z4b3C$3qjmcRll$=9e$zH?&Cg>_wV1QIGbNAj2P_h)*4$Up*>_7AwuC<_acSZW`Fsm zXu~|@i)XPyF5l3}=f67VG$^wrUFqaA=yKuol)TxjqKMDPpm!@l>G8?Je>1Hmx9_Ut?=V`UJ z%9W2SVK>2uxlXQB{SDwEB&ejMBcZD-qLo!$(U7~)OjLpS(%I0RC#PY`5m>+ znf{E@dN2%+cklV5C?tL9M1$Q`efHJRj+AswvJc}txh8p9$62_h&m^B3#7hdX;IpTk z$I>nGH|J#Auy-2smwy@!{*1KOz}MRLJ$5H36yHB3>kHckhuT5GziNZ8JgtO*cxnW3 zk5u3|xufQxZ_<~?pyDwZd926O-DwcKX{_Jc}*g##!T=jbaH`aRj3OlSrbxO`#pq9 zPY=(d_f^WT0aE8rL9F~ZXu16Pr63RukKOm=Tr5Zzjb^g485_L_(@tXe)d4cU1B}pE zxBoD_Eh8pD=BDT*YM47vG?4Y{9Wfewu^f4cbcaVscLJLoY5m`eE!bbff^&PfnBP8x8IkR7?V$uW3j@T&RJAnrDfhd8WT zvF9p}{S(l~A7u!%r)>! zb_~blerz;U682Ph;$1F@V1FFVx~2A&IBqoum$0UV3R-k6=>ey8kMj{duWB2aAFkG4 zhOW}|YLQ)oW4BBye-A!jgZzj8XG=RX+*!wYl5ifrZwAh@cCVPmH*6$E40?NnuBTVG zhxrs_FE>7QPv>njcM78*29Fy299@(!^coT{jJK!{I0bT`aNIW-cUywfp8p}FyYnx| zL=ss?P{H&VI8#KC>adZ0IcOowz|aaAhJ6Eqiqj(AJw>bcFeAEevLZK*w@Rcz1xx__;K2AsW@`v?$b=bi zL_%Ih^_(UB#u&i0MOPt6;Q((WV&0A_fa7R7WgzrTe{yH=PVRl$D!fjBkM_j+J<*6K zTm>Rqi=X)w2Ro&eK37^vwfg@Li9`A|q{vdm5{K7LPd=dPDXY5ub@P-1#~XpxUc+AK z;5&f*R9R|Lj}5rT&IJ#Tp3!5Xd5^@YF0wfQ&nl5|``XepZnk1B91!Dr6g<+7AnzQM zT-}kJCB=Atds#8oz6Ir+#ZzQ?F@3dm)1loXVbH4eX1;gh0jY5)73ud;T+=D?J#1u9 zq4oSm`mMkG-_O>%hCN@bEyE9|s>eb<^Fccq-A~ko)X*ZOQ=j)abcY6AD0-Op05Wd` zEQ<~K1EG5J=*5bH7EyMVF>jC^FxZE$t&$#LqMupJmZQNC)%?w;@;wdR!C}Ti#cExj zO?%9TD5{$^HHk`l_kdm(U))GR*?#OXLS{6lo5oU{IWG zj)6_!4j)|q``{qg{O=hvQAE%at4c~VUBUT?WoJ9BdB~@_U*oxf(?OgtXc!xN(F@3W>V8nhE_qKLpFbN$(i?ZvdQ7O-OiWmAIjX9zTKps}8D%-g;Ws%=?1w%U z3h6hWxH;$g=J}v++2}96+LhdwR~+>`@vFwV8iGyJ_r9#i`AWtH)MCY>zmG&+x4%lt z%tlr*XN^fLS2ykMDvDBYqib7{)yLBc zTZBtGS3J?z?xcg&SHJ8S>RD0u%p9FD@ z55MKivNC%}!<--Nrw&nHp0(h=%jH(l!wg4(pY@GIO>=;Q0-+YekT-(6Y7y%=BtdqE z+9+P^!^=A0uM#O*+h>YfUiiBkv3kRK*bzA?7IBa`+ZT1WYq+BLRp6`{mymb}O{2p? ziG;CC?_&=il4hlJumJafa@1J6B9}kr%!*Z{KqcEDViT_i#&)(jQr**7X4!N0w}c_{ zw9L!7ihO%Eu5^rs!^ZW0bqlX;m==f+vVi-2Ko;TFw89D#p3tz|)V@ApTMXOHinxRw z7d5q;(pnteW%_18ZeWqZBfh2Yx~z6WU8AtODQE9rY)DH@y{Ra%qz2lPh2AcV#^A3f zLPuOGo-%t}_}(BvCT&GZxHB}Nci-5ZG~ySpToLFB8E{pzJpHDp$%tohQk__H^{BT) z!GgkxjxhZtYU0?!@@t_ z){JMep>eY;n(6H2$8D=L4rqlK4;bYRy{kdQ2HTPQ*U2ex5yHw_p1h_ zj!J}TO)nkGq|9I^&ng!nOG)Qih^8H2Sx&WY!l>IU6- zaBix4IK#a<5W2GKXDECh&G~8q->er28-M-!fT{(80M%{H%2)?!hQ8XIIGOb7XYqZ8CEjlG5AO2{Fq(+!lgC<4=$t#gZ-xw-$aCTG5nWrL4qXLut z$E4i9MCZ3m^S?ky!#;qG@vW~L+o|9Sc z>w}B0eK^_jXPcS_7%?c`z2Jc3V2+3(G}8?pMNvVb>*0y!_n?9ifieeDkB=-6ERm2T z5E9^taDJTn8<9XBa_}fK$mkx1A5=)z@4@h295Dy=Yu^3q(ADGoO-7TCk~gpm(N&-0 zwckcOyUu{$`vx5B`4(GX!!3F(Z66QSwX5U4TNbn<*?MIv$cVBB1P0^Nv!rdlX7>T2 zpzX0EU7ezFyw3@A;!OuD{=I7roTJ2f1qb$fktMeqZPzfu#pgWTpxSWSZony53T-pj zsjJ+7mgk^qo&{vAmi4Wj2X$763H+nlI}F6nh*W_(M_>FAyj7|CqToJHg%?SEsLv0L z?RxPk84C^vro+(MRV(k#aR1LV)`}+rl!u@l5R_B4Zg~P;aEV-xDUGmPykvfsU>ztS zCmKV5M$x~ORgzc>#F})&kG^@k4_^d4K`*LG^#S~_0UQ?3IF&(Wg={}sJqExQQzbxn zw9}ep3E!2W2Zwed0{C z+`}^B%pqnkb-p-W>R8zA@2*SE2VK2B@(yJ+z3eGIKeak%U;pC(`!JuL70iO=yt@qSve0 z{LV?;Cwrh->*AwV^Ec-NBHE`}f`^B^4Ee-LzWsi`5_ty>aI(&isEP9Q;WrjH^Q)i( zjv|2KLeyfx3mjGfefcX5u01@qSl4*jF>25SqKIup8>i%lU>^LTc@oA)Woe{a%a6cqHwxF$O6>R=f9- zN&lmAocXZZeQA|Gp7N!r0(NVwp%P^(1s!W1j6h(-dSJ*=@+LD~Lpg8ti2;svk2hD&#K@i?xx zBwbXE`XHg*84WEoK>)w|#8V_UP&MbTpuE}3_{dvt%mcGX9Uvn*8l&u}9&?6_f1@;2|oTT?;kR&DAD4G68Q zTu2gmdU}+rm=9Afy-29{p}8XtHE8<@Iokt`uxwvoMzAr#N~aecqP=YHgcj@YvOVx>7i!y1RB4VG@Ve&VsSUZ0*}P3^x{C^IAW^;{z6oHw>4QFCu~ z#KMr~5>l6Y6qLJ`S-gh^6|qWqrFcK}TK;w32w7MW2O#5lW<62;rdi%9F1YVFw6+F| z)kVfSVvjAF3Kc)@nK6w!@g!$7UBI{B1({*)unh|oDW4gObyJG!3Kc9JEYDWwxcs2H z`@@&JDe1vjbsyM7wtC3yhKM=B!%hB2X^(r+#hnM2I7fKyFLrK1{odH|djmeK0PJ99 z^U~d_3Lfm1r3WX!X?6t3eGpdDa&$U8>QYc-?f`z4@{u>{+0^Yy(3JjsS8=f0lEcxB zu}@}jh6G0i34=Qu!dA4#Ad^c-(i(Io>KmP?JVLfNxJoDj@^jFe28|(=bE2bn-PbNn zJdX+|>@xC%ca{s7YtvEU4$7)OQ6#GWp!}3tdnum;Bl&JO;U4NrC&;SOFBX!__SywNVbnwN~uI)GjLkF3Z17?#B@NgUv zL1(aGK{y`>M=uf)G#w4!^Q9-o6%xGf7Q;&K1jv5mYRk1tQ2B;Cq7eJluN*sxOrY}z zVg1#$d)Uc?yT(IcCMcNzTw+<|p_B0-lS8A^wA)8u@|=z_YKMtS$L0!{K?D^7r75Th z#tIiyDTd3h*iFeydMShH>mD!|^tii*)FqvLl zCT@1iV?x0S3bb3w!cC`>P9{K3|&MBmAn4R4r-e@jQdIPDKCemL1b7&jk zp(CYE*WuXHcdD*&fx%pAh0k10Ry)$wNAy?H)6#f%D8?e^K*-x~3f^>QNJx__bgO=a zHO)NNBgpHCNn7JCN=BXV`6nKjJAfTHpTwL3tc_c)u!H)w=&wgfe6KS7*;u`mS(;Ut z$Okeoqp|ug{w24|{72di~z`#m={=L^N16D%w&JP#g1 zX0wvG0^Z$2-as-&zKpYo?JlzA*Qy9~O+IH8&M&Ot6R+B*f86ir`MlGgPD1%*b zd^cvask_Q`F#gmp(c-tJEwj+2pq@iNmn52vupNV1HmUA|YkcRYDp5!vS3;r=z@4nw zI;j>JAOli;>2=Dm!r_Daa61BR-%w~-Z#wZSejmbeR;fw7+3|q+U{H(kt{IC}V}O6a zj!r_|2g@6gA4?Xan&qe0sG(oW%@?jKsbfZUG;CYD7=N|I#-3|kC6?xUB?Gic7H<31 zvkxt*S*`9z#v-|9_;V(d`DqQ4l2Qa`FTOGyRBC(a-nO>7gmTBq3tl!!fyM01`X5CC zrh(z%1o1br3E!8YrK~tMhWNs50GkJ+7`*d4V&`x@T0i_^>`Sl9uxZB>5@V7JT*~WR3R|w8 z8;DRlyvB+j!wUa$I4}X&wrlqe-B+#vgn}>O$SQ+{al1q&zW#=)i(>3z-?{nHm@Asd zIMCC$*xp^}3eC&s#!gTs-SsEsZ#X|J<*uH`%W#N}0yh{-YkLAZJYm3}lwW}=Afl23 zw`Y@Ce&!3&9n^kGAvRIaF&dql$DJb3Fqo>pLZ||b@!eSr#5-blW)>QEK>yIr}BzX*Tt?*s0L!@4If$hQ)h(_1>~Sfj(F~)1AkDNTCDvc!lk97nE|p z8LL2!95$Mp_Th~kXSm?-#?El*skeLBhx8A2zruJLOVWE=h2Fa$$ zs>|VZU1!5jC-aCCJA~7SX)jU#bPzuC>}wCLq6w$v-4sf0Lj6;w#;`Ry;$>uDtMn?`8|`K}_T$uT-5 zUi;FS9lDdJ|2tZsc`Hr1=_qA&vWaA_` ze%w*1e=wBF8e2)p9Qhu)$}pXWvGl3swMSztRj;04{OX6R%u6r4L3rJD|Em!$u05LY z+cx2c?*lG-PsQ_WZWLpN*4J)9+4K|(>qKE}0TETskU=ia*TbcM2uNefSieIdAtiRGY3TjrhwtdBWv z<^ii&$pxYwx1|yBRLA5@{LLBu7{Q(TbE$hw><`wH{$|Y(-#DXf+=8<#gJV$Ibfr1X zb+*Z8_dJ!jum_~R6d3@aWsYZKF1Q(yf^4LJ>@K)+y3-eaY*2cO-bMg4jwWG&Tew<& zbgE7Vy@k*g+ktQ*40PIrDHvVN_-G?>p=Ix3O1^T3JaxazC*SM5v0V0FHE~(Aw(o+e zL_IJA>3UR%ayJXaI&R)o>*E#6Y(O58tc?CrJTOBlJ8n*yO*p@67L}mjekmvvxHtT!+fkAq_gb0q34* zn{AY+G=nHi_}EsNGVq>wqx^0WA3T`6q99de8{J!$y@>4J0Boz89rA>y$hZ{&5Mw#4dJbve7ggTH}X zuil|QF?c-J1}G;9!3ePlm_4d;diPchAd+ZS2t0V@_Yi=>DDb)3kYgJmhJ%iMWr^c0 ztfL#TG4dp{B5sCxWpWO4u120g+eEWdW=3Ye-lpz-3yh_6I^Xc7ryNo9(~~G5rw(8) zgt&2%H{ORF(8GN>H_Lk$WuF*}AJ4Aho#uW9_rGu%IK|UvKy+^! z93i3-{g$c`Nq^G`n&>(%lV+4dy{VGAsB137~dzr~mBH?Ndmx0;cZxbOR*em?9CSN5pY zsnUl**s#Ul43yww!K>*O5;i=X#mOQj9C0j_SXzqieQ#W+?Z>DG->l9Lj^ldlA^2%b z8$b<1WOqtf3nx|Bj1n2=09}%`_n;_Zg`gZ{R&)wTBX1Cv91uvTs073>B&&K^|FH2d z*fop4sy7}s6nNZT>oma`35B7*3Gk@)%9v*#rJRy7EC`wOJ&o@f?K2y-;ymd_x$+~* zj=dza!wcKj# z2Le2^iM+Fk@0C7Z{~VdYc}+q-UnvCZWL9$foxPFQ{&e(tYDm=O`d3+zoOW7}b)o_{ z&cL+EqXQ~ISZCY~*pbq4P-EPCtyr#h{um`y-3o($D^&=5hoT29iHQ$0o9h;5S2&(T zCUcK0hCgWA2OFph`Y{AMswY$;+8@n zEQv=d|5fb4i4l+OU&rDGN^cvNIEQK`VJzEzT{ty83SsVJ^!0DYsYzM??ioShD95=TkWG=r$^Yq1ijvAT<%lO+xmd{6LYM?@fg~oMnfnr2p60lVUmtYdGoJ+?F(H>1 ztg*&zEjGT1t_6;@J#i(|p)uPRXYYETB ztdY zn>_<(x&y2*PVlF1=U(dYi7yb*;RP zx7=OWF3s2UV);c#R8}so7%wyRB-sXeXH6d0Ft_Dl9o^3OtY&%sYa{?{MNObrLessn zkn+yP;rd*PZm6agJqY3=dsz10PB!{(uJZ9Ngvnp8D{1nk zqG#T^=p!fYDzL&9SPO!&!g1I62A4!x4LqmaIP(j+CY$9uVyg^nyO78FXZQCXsJtX} zN5X2mRq_;bnrQP3^d`F@DU+61o-c+4sUG1;7W5aaO~H(oRJCF*a2i1$RtsA&Yb(O{ zysFaQe%RaY?#D>Q90??Nh~N3Qw6dElK3|AZXi6pTWfVTEB0WC)54HBqC@@~upRqgM2k-o&qPB8Su?_+sknr!UmQ2iPI| zmqNPJ#!U!<&Q2i{VUoj~k@xs<-c!3G2e{kL1=T^v$<>2pm*PjLD4xa9eoUOwr54E! z&rU4ehiD77VIN%9P2YJ=App8Pn9+9rTUL-meu%nMkT+jk^VRCSIx?bZdgSq_$PWOV zNKpeBcWFN&ka#vy?fNnYqPbG~>psn+gQWN@dRpt{AT-j$;%aIij%a zHVoHJc(-U3&#?~S5kf&3^jJ+^tMN^NE=~wC>A#8CVeM)q4L%U2xw^0F{xxuEm6svf z7rBY-va+O#qF%r)2rqsgEvnwhH}+WgC=r3N++p^2Gme#3H0oXDAZJhtrosvoqRQkk zYCK%OR`Eg~hZSs%fXt$nyrQthO{2b)mCcbtZwo3;s8KlF z;?w}G{=mQ+F^z&`%bE6)wWyCT`tczw-rtKQV+UMna~&+N^%6cj;?AqxYx840_hNM7 z2F1YSUlE=_~vTpHGtqWYurqzR|<{y7&tx<((s^5(GQv;)tp~^Q~GpnJ7TpkER<34?Au^fw2IW5z35WEPObrqIjE_gyD(cW)a@C}^5RWLD7stx zz(8a}v}n$)FODOV23T%RexE9-jD-J|&T)PFv~>k!7} z=sAn;7(5??a<4iyB(MxI0cD0n9Z_wD6n)(g@IHqJB|kYDNL16x61T6@3$b?Yk{=N3 zJm0Oix1&F--m})&q9czRS7XR+^@|#3&p{sCSKo&snU-mVJZ1V|aL909^S$Xa!dYDQ zdi4P!(fPfEFI#V=7$_IkZCfe`Jcd{IYIac1FBgXQdADguD7o2qdo9sV>*EHk@GG|; z^fI>IYcU+5=Dz6j?{m57rRL<_S6A`JLqb(auG`bxXp>)%a7{Ho`E!^uneRAFaC6_`UR#O<)X{}KA95b5wZM9xXpdli_ zwONUomjXR1Sws*I5p~j2*oN`Z4iFqIB6aMeIrfVC;4Rp;O&q#tivDJ*Z=-=Cs>Pca zPm&pEyg};7d{W?yyU48HnN7QqUv;^1UQ)kVUM7FCN~;x>HJg$}F7a&X%xq~(|46(4 zQ{U~(unOUNG(lH{&Blbs(5RC2v7nGOYmIAgPJvI{HT75QD}TD8_?nf`M}uV7_RBbo z{^&}sOMKo|arG+woNhgxi=pgVpg}}KK6j9gx>iSYjAm*N*RdCoh8^;~X&223LIisv zU#gj9Cy%+G8`eL76<=fOuq(__vKu_+uZ;Ci<`XtAcV)m>Izd-jM4E@-MlJ(>`hbc6 z8s8?u?z5BqO-vEV5gm}V0H3BrU5u$4NnTtZH)DISMU?p?t?H*BtmU^HixU7?0c1|X z1H)Mm;ub)t8<5&_PceM|(>*5rj7$Vw%qVfjU-MOTy13))%AfW5G@Hxe#<%yRA6-4V zZx0sD!pN&|1FauwfZ}&EK5>DTlgxhtgXYL8^xeO=r;m}*rKZ=7eK!RV4SWEO?gV}l zj?&y=rQMVqpN(=?l@Q_W0?gqYWBWjSdCNTF?M7k#R8@(0wiyEpJIY+PIE|#o2~WWe zomQ>~Ac26Ue&0tUjh8zQ!0yrDq%cvKsiloJ)aA0xex(LN-O)x2{yiB^WIV|iY6?~) zW8J&7P7H5LeC-r3IOre0NZ}JjC%(a#39Bgbosi~ZyfBr#^m_lNX6XSL{)?tj@26+? z2;9;;o+*_U4WZn9}EHpcC4A ze4;vrlK^*H1F~0cK(e=351fMuM7){?lsE_V4B1X^vw=x7Y*69GdZkmet7?Vonf{bp zpS|olSE`;p`AVW*i1CsWhy1)I#G<4#^1;Vms*VZXiM>|*(<;W26pm?&h<#czeakHB z*M$h`T{}(fcT}BSn5P{SmFqL6HK#*INlbnzm#aFqgd!bdBG)T8&TkwX7Ev_}lB_|P z@lEEtO&SJss?`NiU7;0OI5LPQm@)y9YbZ;I=n;(_EHHR6rPRDGlsLD_`2}oM_vm*1 zDUI-FTB?RE8VZEE1!J5*&&blt&X9{zF(~mE!R6(1iWMI_cny4yehBW_*qpm{lFZLL zjUo-N9iJ5rw(AvZEKEWbO7}}?)1787qcve`*XZ7D=yX2j2I?LzR`^be4yOW=vv|5g z_w{fX+k6jtb6^xz2?s|wQ#YX7+#9jNe~pasi2Rn3&x@^mrm3K^QFa# z#3V1plLd%Uv_?_IulM%^&x|V`3ij}|NO>ff_ptZ&rDZj%p`2jsi?m?*d0ygav6wfX zs|=!X)1pMEj8up$7p03@x4%{1!zMGr#?V(SaM9grd8<6Id?IM`*rUw*Bkmy&8`mI# zCbn&L#rV!0qdB$*4O}6 zZSHRu!;k0?YhKQAqvF zVljvx8j*50(WQ$svBI%bxc*Y2O6yM>LEQ#;5j4aLyETM+Eo^MemHN3|LAuMwkvqTz zq1?|br^$#APv?ag?=h+1o5McP5J-Bno$^qIXx1Pt7CbAue}481V3rdYK#0XtVNPLQ ze9b3lALOYvOlb%?%&$oEAZTC{W&>ob#@>n{jPCA4Ru4~R*O3~73$EXE>XS%uANP=jR7b3gul0`>Z(E&dhG32I7T_> ztGr^egBgA1Yiu!cLJfO)U`TWdVCAWMwRup$>os=>E;Ldyw^!je5SrT<7lIfGf6>d~ ziG=Gix+4c^XXiqHpolNVpK#BbW92miF?iw2VHmc1&>dqeZCFXHU}lnIy$3-^pdST4wG#UQq_&@FHJzoEXCZs zk-*0Y-oLl2fU8S7E2L$ZW*OAYQ~Dc`hjvMQ;)09xU!XV zM20rvvC6}dqmhp;ajPn(Jjyr6zjmvK8bYs{`sS0^ZF633%~*cOjA!eFXLZ%~+RGAO z9MZrmw&m=X4@SB!TPFaMLQm!0X!U*?B1x9gTfATD?WyAXFW(WM#qg*)IXJ^ha^J*I zIO~Vk!0=CCzFeNSjVgT2Ql9q12iN(WdROZV^>cdPLYIw-P09K1VwoXaPPttEyqQxP zJem9r&GN(dZC%ctEnw~8lD1oHe}?1Iegp-~bb-aN$m7rV)2TnBgO$i|wNa;Z0G?#HVP|QwtzO1qU%L_B)%Zuglip&esb^P-2Te? zx0~;VKS1(S`e8Yu9s+)@3L|=YW%54KS%kXwM6Au1$8eNbiy0^t>E5F4I3?9@Vs)4q zYO<6PLI1HZ{ubAW%qbA9fQR%bc82+djOTy2;2HP0jnAI9 z&+nkreVS~pbJSgT%o8VShB6*qrubG>N8Y2J55WeLP^8xou6ekgUScAb!x+9k>nDJ2nE&AblD5UT~;7DwlcUHmMlI-Z?W z23ejLJ_CeuhtXQCz6Y0<=Z=e51F+{k`>RM;HUjeA(R_N!lRZi`ay)p_Q6s9FT|2?= zT-r4gBqoWytJIOaY}!yb_hregtlJr9!gPEK+NN`uy zV%7JZJR&ZTJUi(w);ZwWZal~j5zXKlln3@ZZXugbAN`8S1!i#^JJZ0Ih^8_@}p#7VxB;> zNcAKE)@VKw351CAq7UX%;9&eW8Gy$|03dD$B`$FPTt;o?2E=E9B!Ct%VH36o+o^|x z9|mI!TuBGL(7ooKFXV>3aWa#VmkL(tnfPU#=Qag+V?PqO2=c>`z1iH#s(h!U{e!WS z^N~m^K$a4Wv;ye)EtD+JaGoI_xZzHi&+@z}Lv*Rsz+3Kq1qceo?HLd}gGBYKlWeim z?zm1@(*-Tlu?x4i{{?JZV!ijWweu}^1j6}P-j7A&#Heuur-)oa86eeZ=iR6>KI`oL>_L4Cl+{@EN8E&C44 zmL0`gLfrs$dT(h7j0G|u_s)d+;3tG?!cLl7SYsj^gbdOKp-D0qb78TrJuBmBqk^JLMExQ`!E^+A9ig85@apXdHv$rklb^V{ao7`BS}{*TKE)?+pL z4pjreN|L6g!uApZ9bw|n|C*b6+&&w7u6PZd=rZ;Iq7^RMG?0Y_UZgPrNHH z`xeL!DB%XOe93lUazODz@o{-5t2kI51n7qsU3V-6IAqvG`M|?O&X7EC@Al+8#t#NT zVCC~LzFvGPwo5` zzVF-)oq7MX_W5$2ek>dq$@d^*`C_ZoEMIso7~7x9q&qjf;KbRbX1btn_|YOYB+J}f zm-`!We!ONHk0lJIj>cIOU*h?aSb2-znIPYn_Wo;`1HSo{dKM+B{Uu!~8(o_&iF(&N zqH4kTa5Y4m#Zfs~LqeVNdA9RvSC_~9N`-HCm?C8HNK5S8?yd6cVDD!+BoRy6*d*Oh)yYU7$rHmJ>%J|zIl$nr9pJE-@s*J3tox! zT63N64AJE}ZpLS+Q3DP8oI!gQd<0}J>4MyURf&hX{)t~|7MRgo$7>=;Gx&WY2Tw4> z7^{V1E@w`xj}NIX{1G2d<}ymVPbmm1)Jw@bL0+6+20hWHQ6%Ow^En*!9A$g#L~g#z zSuCYAJ^C;cx|mN7LN?gM;i(eLqJlHh`%gR4_dz>b+%>v=NnEd8yI?+)zZu_dUCUD# z0jJ*+u889q!K#q<{HHUi?YWbq<8f(5t>H)L(93}4x~R(vL_JS(-%03ZXqm*GMapcQ zNJX{C+N4bxZ`Uf6c@jj$iA5E$23IbsagcT>1wMLpdLg`hoglXb-B=8=koa-lO zdCj6azBV{t5WOkJJ8=_2O_hnPbX&o@{xT9*Y5}xcZj$ohHl1U%U4rNUpi=2=#|9^(P}a=M9NgDc0*5 z2nsmkIzKR~x-va62_VQDRXFUc;Sxfi@zQ&)aN&9-W%XCFgwoxH;%#_wHC(S~DW`%F zPmoT8^;2{fOGn8?L(v$UDQK9lB>##{IvA;ECf|dwd;i>f_XG)mqxE@}1&pWkBjg37 zl9kZBtSe{-OQpG#H6v=9%ZrS9|F`3lS+~k8u>RkA2>PZ_=&M~vi6@DxMI5ETuPJ^_ zPpPA2$?ZxQ9=#%xbL*YD29J%}CC3K^tyfioqV6am!fuc3Re^hX6)FN>yI};b?9a|5 z$l{(wUI^`nT!LP3^KJCd!)Mlm`hPvigW+7k=pwK3LR4WSwa7+Yg1|`P{ucW<>XfU} z-e6(QYs0EIqbU7~^Fnf(``t_$_{g%v`9TSh99MPy#W+>BBZmO8njO@fs46hdSlMI3D+ELPhrhJFghLhZPui*vq1Ryd*^V8ktu>JLu)FA5svSGn9EX2rNsOE#4 zspsNZyIRP~3pphBP1FK<|FA)nOA^9Ic_e-t z(-wZp8!9CjHTkKqmz&uki(yWzHC&HxxuYp1Y2jHjuymzi&;@uDz`EnA$gXg(tf$y# zqavyiEx|vhS)M4r@eaX0ZV|3yXtg{|KJdimQ;ioxy}ud57tfu(e!}4m@I_#La$sL@ ze%P=LR(;}Aa~=L6_5tZ`0{_S@BdxDy=-?1l?_~wTU1)HH@(u6Xp2x8DFiAl#Uz>XV zfUVJ|wN)7FdSs7qA+F8~F)1%RM^ok!0(Z69ni|!)jXjE4&G7GqiBdcgBORUYI0sQv z?u>@ctun5;hou%zc|EK}cuxooC=CsvW3F{dR2tA}&$7zxHydGk-4ps7-h@&!x8}r` z*EreRpSFm(T(jf1+E`p8LyuBYPehbIf0uw|(+{om|BN(bqGDY~O;!vebg%jz8&zn0 zo-$=#josQ*j|d99Jmti>A=qDh5whF^PPXyuh9Qq#tJkNzx#s)lOcyD+Sq({-->0S6 z?Rivv6?qs$OV6f3s!wX}mm?zXCLd(opK3>4heoTs{~UC=udcH%6I{b-2Mi+G z%{>Pb7i+mHge5OcsHN!B|J#^q#8~neM_sSGQMVvzGzSc5#@#}bRf;V?kzx?>79~Dp zzj>5$aM6Q78A){zn;6F%xpsG=XCxU3!&gF_yU>@*UHZcSA9p(^KCIY=o_H6EB-Y1C z&iVUsvsvEAcT*~={gg7TQT~*T#BhCI+K*6Ldrr>apuO9QMK4cA;~$zqBFruZ%mL>) zZk{${wJ7Kz;OG0#X!JkB{Ln^o3l6V@<(f^lE08PS3wRSA3(9 z5Y#NbAP!X0hjx3T-PgWbTTvS@2R`aptkxB2PB5!bZ%CbR^J0V(*3=ZJ9^8f6-&RhO zXT1k2b}$!8ors1%n1ND8|9OTr>-`>Bu%jdCZl?DP%QZJ%)00pFd?%yi@9-5s{GqGazDIF0VHOgq@q(CN{X?GVWlE@xjE@NKTs@A|SH7X%IMm9cQREyq*;z9$EBv)IM~W|a;WnfA=NL6#d2 zmPeqv{>UlkO$KyuZhMkViqmn6ziJdPd8M^WDD7ndUs}q2y6_+4f-y{AqWC7=MhSIp zPUr!1sMHyJXO3XQfimF=_pRDmj9~i-VcyKy_gn-*T2%XHp{g4$OR=s17ok&fsvCok z`gxk1(Ha6Ps>W0vWiYXOAV#Xnf|Mk9?cSFs(SXU%K53;v%vABSu222A(Y+B z1KIK)0j_+z%1Ew;pmq?cO^sxZ5`Znq(HLi%qIc7pvx1;=xfH2h6V zJwi}sh$_ET5jF2m?`<1gWv0~G*l{#5kG6EseyF7P_AZGEnOEVxiu4`d9!1(I{Lt8R zF!z&J)4S||Uy5gO{Wsg>c*{!8!CZKyW1AEQziY;&s{66!Jx?}9LLWizlhSBUR@9ROLT|Zt<-#?N5qPq1Ze)9%#ca`BrtS zASX{<)vP!%&p7hm(&H|`ISaoVKL>r)q6NH^_)?AoUQP|J`sh>6s$&8LVSI6;DY=B8 zb1a&EexE4;1?VcJ-f9;(vQDj5j9s2%?MX<0O5Y{LDaf%_9lUT3tOfLxW{mq|n=g!P zL^(k0>|(vzxVU0i1+bVC9B&c-rziy}K@MJ);zg1l7)!*){97qwb>3-5`V+u(a-K0< zvj|sg0M@Gw`lXue%eTMeT+NUqGb1(Ia{xAGb*kvB;#G5~lFw_5g$m|qT?1lj+;w=p zK~cPg3}$k~QYbh0_%cvdlq*v(_!DlEC;-2XmJ2x$w$go}w9dKkvZAOE*_|^}rK6)T z6G`Jo|KTY1meVVM3HlrtD@)GY;TEVkI$>VffGVtj{_^}dq?)|9_CG0cRqyr0Ws!-R zaU_d3*NcA067{y){7sa4lr;wc)gql{=Kn3akf*~6(mg7~w9|G)B6i`6@oRZfywPlY zmgVWgp@UrOG7ek_CFAOC{h7CV+_*73HX}89v*Klf*&rzqy9=+1<;X-AHFRQe;X7VS! z&u^}S+%%=g*aC{-!F>d%Jk3@s2<@L|6IyqCv0uONf|(Wr^)5%`>d)*cRk!-MIv&#~ zTk}OJKUzvfMuv_Dzimy4(47~p;n*6k;jh!q=VQpF{ZKcA=r;2tp)3|(pfbh~A>i885F<#gx zw{Sk5*sSAPLDnCDWHBT7T61k#XjVe~tGyW%ptUkD&s~e$#i#vRpiy$BQ zIDc~S2Am;p4luD`?S>)Fes zO|!jh!?1cIJET>XvQn#51eB?z`>kI`;cU}n=}5AYWRHIEd3d{Iu}U(!YaWksL@c zbX??kzA%vjz?ze)L(p4Wb5N$ETdw5VNEIH|gFCQOF9cXRg29h#NHRy=y);$LwNFX5 zc+rDYS1x?=1nt4Oqx^9#K$94~+jhIMnVr9~;mtN&g8eZPsiVwmAL?8U!E*VLbDm1y z^tEQzg!}3?1zCZMI)SkA-x*CMkhJYwdG_py;XXxmsCuX3)~ipw2r@PpImJgThKPn1Z-Rl&0&pNLY-X-BikJ*2r9!zZz0h7QRY>KdXrVq==qE&-hjPkq#7Sj z2!}_gx$kU7RHwZI#cdCb-z7D@jBt@3)%ta`Nt0n_=R@^AzsUL(hLo@>Gj?Z5L3j>hBEfHcSMtoiHJZ{Xm@VGrd@t3nTOJ7^>}ubGs_?lutAJ{R zo+62A(s83HDr7ieK;Lsd*a`b;<)di$99HX;aJ3_|1{CV-(?qE-6Qiu~^D)C`uw6R; zf>|^QOqp~Lf!FGv&Bvw@stahZuY9<;r;*?)7r%#dj_t$iWmI8m!7fN@MI{tEhzMQ^ ze)c32?;>W6y=?o2t4m#bs1IYv=cvZx3b_zRE|Uk=SV-VY_2%U~G9h zH?JTH3_~{%Q)DdIc1?jXTJPgg#G0THoC2n!G{rDxT@v0U(aW+FSJidfVDo;V|2ZsY%Hf0A6z=Mdxt&ZmVR-2+eU3Y;-vC6oWG)#QuE5W}U=$xAEG zwI3=ffT@^~kAhLYG53|tFA*Q5Z|vI9ea*a4`fCm3S~${w<;pvZ7A?hR1$4dANnlMu zB}oABBwdv16S(fPxe5BFQHaOxW)=Gpp6^ zD}5OX7gm~m=ugdt`U)xmYBWeDvbeIfd4#gdIR6B^x^9r$v8@8)UN^_#Rd$g#ZJ$9a zDa$?Y;E(HwvKHbhzPSdoFke*~LD1kW^pLLcc)$LXfczKg-G?Gp-%+R~q0S8HiZ}dD zU3ztKM6PeM_h*9h=Urhb?|z!C_9~P(u$cO%u?5vRy(j-ggCDY7Yq2N2ONPJ7;z|8?E}FXI0ED!`AX>6t9W zyp?glJJ-S7XlZ%mH*6V_d_06dZ`u2uEyEw+h(gu6<+M}Q#sUMu2Hj4n|GCLju7BPy z7OL^0M;1z`1wXJ_j)MY_0mL>zORL)OwyisQ3$2~$v=yQm+lw{~40F?l1CkQMw@2rp zb4yRv|79flVy>FZVHD(AK;P=+=vb>OB)e%d9R97~R>QXf+tRcWZ&gE$aJBrAD7zOO zb~+ua4f&VX*lW|pZ?*lIo?n*Xw z&hGX!apuL!P(^e=_}dkCgY{l&w>MjDq3`(I^ljxf=mlTU@39LFp)+AOlKKtwcA@!P zOJ_M^PD%FqlHfCb1KQaEXk@w$)^?awzkFY6Uf9M$-JX-PW-rP8dLl->zX4J)>w+(x z$sa5qj34l?2mj(D2eY`ACczf4dw>K(buar7lD_uFZx|QJ8oOOHP1BwG{Y&Dd>X!{} z`x`D#ds@y8rW9&d2UxdHtNasiFD$KQ`%A^GyaqZ-=V=(aV(@HXo4w%R>xG0ESPnX_9@c|LSk zl6htqqu0|X&VEs?c*RR8$Z1k3E9%y^YlDl1Ot`L6Ti((mWu~q{{%Z9DFKm8H$EKvB zj5KU!e=cs>7|k14WO>IlG<*@A9jMC8AxIl=nQ3wU7_qB*GnX=|U9B#fXLlg|{50xT zOrQ-~Ut889M9_E3Al9VCT&C*lI-OBSM0@Al-*a`njGCzc1Ydl#T-Gd!NkTqB}8mPoF;Zu8*5@lC)5&WUBwO(&6WppC4K|WEtkvlle0W@C-uXnonL-?8czRn@iwMB!!fBdBG9N$q1Sv_wX<(4 zFMeM=X+^$K=6+yari1M}o)p2^GFtzljE3YZRRnHhkbjF?QxU- zSx?i*Qp@;5##jLqkOWT&MGPx2$vk@*)zP`IkeZbgP;)KA?3<87`wI5)^1L`7X2hC4Cg&9yx z?iqkVDaEugNIL*{W(+!Na)ML#=4PLfRSbwy%hVSinHyEP^qKGYyy&};9FK%~BrxyO30>5ZABI7IBZW_=X?QyhHlsS0@l$WJ~1-3QHrYBKvq zPh10^khley=YYzqF&;~1Lq8;bICMq?@hS^I-aUL%E?wFHC2&v(^bJZElVLA`pah(P}anU`j$-6clTBoBT8 zGW>r(jy9{19sT$7mK9Qz|9-kZ{)Zxm{KcblDo6(LpO3TzLX`Q>C;2(!56tLkcJ`>G zKT`r8h+;Nka}KtQw1i#P;~&(5`F41LXjxbt{E=!uUevtj((5St`Q3N^{pRJ8td5;c zs~wku7tc+0U6=m%;{pD^#qUj5{ZiJ@>uY9Fq?vUS^rLFUEn3Sj3j5ro zdsF@UYaEkOBFA2MA1m``#?9}gq5A&(aA=xvX1l0xKrWp3%*JQcDX`qlX$bs=37MS- z(JFr(1hu{Vz8 zhaaj^5WKqhCc8tK#exsfTer_3I*u+Yw=k-5aJSidwA*F2ZA2UYc1-#pKIHKJ`33e& zrLBBww}KLHBg?UJf0g7AtaiqVd*IgaG@|Ex8|-fn9y~Y&{;S_#T5i2teyAFPouk=q z{5#w@8*PP!p=fUgF6z@?v6Xeo4WL;_^bkd{AiJL7QnJkd7yg3jj%o-M(b5M@rzCC^ zkz>v9eiqz_3Kf(%-h2P^6M^faAv$r0FBpO&7pUGsMKFW73vt2bbQ&ai`y+NHSQ=k5 z`2SGyXkjw?jL2qhlwR2?_18Hj-Lam!)-2(_T1q*R$_QjsQz(=@&Lg@q=I!8>d%tLz5Q$~o8iIY9 zTDhn$@a|*Cm|~YaMXP>fXGMI+qo;($^1%n08+zh_D{TTZ=?`(25vlssiXAW?ZL@d0 z2Ve1`<&HlL8+a?FybeG#@UJ*+WW-tK#?^xX#M|kf)c6LLu%UH*k{>uOteFf#&|G6% z3tlssPkj}f1K-MlMJcW6A!hfa&PIixt537>CYODdqG8Y;aU(k?y7RmBNw_+tw zlOFq3y^mrH{x}f8w8ub}{tDWun%({vgpa;TVWppYoAmX?>l9Ox11~~1?c_TcDcszQ z2>g>)2aE1uC=E)fjP$5q@ig64Ubu1|cehf=6OVY;Aq;7@&J0itw}^iN7Nczc2l z01RMafsQ&;W9%pyGZxzJ{^`1~Q9-ZLy?zCj_tP-QKd{B*yrcN;Y~~UJ0|Uvs_)(_n z7Ht{H^q8CU0^On%asQ%Jnd#O`kZ~y4g;)Mfdk$%Bag;ASKE(BUCMhuBOf2nIdtPBf zt~e9;M;Dqyx`n8FUcb|@VejPb?r>YAsBs;H(bZ6_i7T=(V|%wp%?3cmU%)>H{dE~p zBu4ZYzBbau+I2c@pc>cC^frqB!Ix!1?$$cF1j5yeoBQ{8|AlSm+0}kP`tp!NvVXs+ zV;aUCwpEAw5x7B(t(RQBjwUeTy;+l&=Q1>-A4^A1zf|ghS@XVsza6yD4Uo~?^sFq^ z_3yfeEWoL9$8hiCN61J>%?uYa{q|_F0HV9FYcK~p5wYl=qF@I>xE&ffXKyn69mW zZJjYGZS5z4p<{S-?ZSn&y-j16*KBjKOc5~TiTL*Ah1{(Bk@{k4F0U{aai%G`GXia9 z=GNsSnV$3SE5iY1ZyE*PzqNHTw>bOe`As;E2_c7nZiTVKSA23yA4k6^_0#N$N|pEH z3KF~_S}%wAq^_}{S5Xci!V3l!pDFWEZMKA9YBnbsBNSs7Gm|RQAccrstake$Y23`Z zqUXdiXFv{?qW?K?eZ+^7Kog+-Pr^{84o7PwAO>Yb4MpLGH0O|mWB)SkVrdYB+ds+v z2Lm*_=N6^*qKRxWbtyGOCYg_^E8xt2V=EDgAHdA{!af$?j>^wfrDqOqANv_AYL;#+ zq5-RQm1BEUf-~SG>eo7uLAfwHd+@#Vzq+;$yoGQlJ?|6jU%Y#biHmzq25Q226*J^O zTm3xN`_He|`FX_9t1m^yC8xDl5|N<)2AZ?qu`s>9N(D#8Z?wmrz5QwU_xAhkf-?Zf z1d}K*8#n6$S7dBFf^*)v)>$ft0JJvPT5?O(SEqfhV|Mo9*daoN{J+;NhpYAt0i<>` zLA;{5xIj|x!DA8ef*xl5qy zd#VqHLub#hmm#>u>I`Bz2jD%tuayZ7~CjI-`7VXI|5a7y5haraaeyD=s zedDoh&|TvJ*%e3c_!@tJDs#huTa|&rk7?4rik+JEGF3qA&;tLo28PbpOve5NTkR+W z`q>OuaCrCLLOdV?yV{?Bss#w#f}*WntQhvnHX7Up8=93b5dr!U3I6>i4zq3%{VB~g zurrPDFl=@&B5#?12!m~WYgNcxP72tZ^;jrw?YbrSMXRQ^mg=Ljk=M8>jD;Q`7oPFuGZDnS!-7wc_m=O_`%wU-NI4=|YN(SHOH8R%hmXUzwk z2RVJdrwjxIVH_Q^H|upA_QNRuc29r*IYc+Qp+Vs`DFdU+|j_ zI-hw)^JDbX^@89Dd9b6T9``M86fpjcoKUlPeGMa{IPlCeO!}BYHsa*q=#4<^$yX3t z3OPABa#fjQ84TnbRyG1E<4@?ETfQn8pRcg%=58hAQJsh!L7V%}c9cwo@`iWUZwh;uHkSMM$I)ttsx;H0%+C0zjCi{XC~Zp0=yL^A4dr$b#Qf})V5#~uxcM0d#B?!9%jYsCjXqcvQ-YGFH<#5&J zhT!G6uLoT)exM(*kh8|!OCPW}395mUv8p_bSOkzl;O$rPYJ~EqFaD;?^>vnpp9eN5 zfNlJB1Efjo698008w_{g054Hq-!y1EJ@=8DTK^lCjW8nPK4|O6275)XjCA!h9cSlRp@CLj4TMry0sw}N`sh`jI=Z#B8YFdI8+YJ3h!zXOeYPV$k(vOI|Q>5c>ofoAh|BS z{TEB%FP1(kV!5o~{KP)1xfan-0!>*#P??CXqrP{KA<$peBELZl;&$Hmp8g2r2O7N; z|6uYK;$;Gf5S=Gt=a zVnJcJ*4L_@49hY}#1`@4dq%*F=)LEH9T^GbapR%k;f#1RwO4Nia_XCLl3jd5-p)0y$@2{3QL9!us@BpLM3~m;28a$1C=!COBCVEiNI(jb+DbtXB5DKzfm*Ar z6~qIGK?$`;LJ~}@oC6^`v?ySMkdTrSZ4n{~hnWL0fh4;h_S={3^Tua>M&3N{^IX?; zzwh-IKE2_uTeL~*qh{B_qxu-kM0$gGu9^mS1!l|}4Bh>r#JtJIfM05BLWD>J%{NiJ zUlO>k%l$-Ap!G#HO7A1u7|7=N`T4C|vt|wTz)zqr_d*$S4Y11|WS&RG8P4%y*jpCS zmxI-zYxkV9xQ#t6b@G9a{E}8YLoaL)zvC-U!Mqc2PWc+zi!-tDPe1{(zIjBzE+yh0LgzZIgdbzzRDzik_U9krCxE#wC~(b z)t|CI`p9OEE$OCin0cL;CTm1Bu7=*N6q@wZ@ZCdal*fBEQON!-0bFxrXNFfA@3EXp z2pN~__kVB}!WUYjJ8+4tG=l5$UC&pn`NC{A<1H24Db?y~J|Ax%Biq9O;#kwHvCmF# zMp&HZ1`Bo&4GHfQ&$v!*Jv%d$(;&w9yzUFLOcXTmtm6)-!`(3=tA*nW1~YeM8jlmb zf3>!vb;3%tiyUUhU=Latx>GvAGqk^usr>O~Z(B*Uz`ECIk z3>0LnyWD5?E@v{56ngq63uIqZk}y zdd5}l&A>|Z=SS(O$By-3r&>lhJpuQZWUndsEDhZ)_0q^h5bjk1bO~VI9Tf z{Azmv!5$ldvl(48P?odJU!F4Z3^p!wFVCR;_LIj){omW%^6NsI5(tBb`~AAIlwgKl zi~>L`#*_u8OqZ|V#X1=`(U*1RO_LRf^t7q__k$@z0Ab{I-uMVmGIQqPLQ#4Jb9Hf; z3b=SfjTvo%3COfgmTx8nvFo}K6D_UJ0Fx@&)xZ0if*^`fBrU?a__DiT360v#g${Fz zrlhFo1!f8oA$RkulY6dvRZ|leCnAx`EzuZq&A_t{**N zJlJZqqiFr<9)UCW%lKn6i<+~{NT5TbbaeK~lMRCXi*wWH@+mffb4ZbaAGVDz6r#Ia z8hjE!57I7TZM@}Y?mq|_)$E|vM4XEf{PX8Zb2N=4)gvU_z%}%GoMF*qy(+cpSr8Wm zpiC5UZ93evx(MAU1(_)+n%l|1#36GY^!N4k-QMz%DJ)tz*p6!7x!4D3viO&%SWvEy zqvCDo^exrd(cn&)xcFcrVE2mBrbYA$ufADeMYBD3JLU{2?F{x;TU<(Gsq2&SUp~s4 z*k!>vG>)5oeKF<0b2{0t^SV{7ZT;owX?333!1xP^+Z{lh{)yUjLl!&@I`G+{AE|SQ zv2|N!G?|EbP6dwH;VON76!y)5apP?nfPG1l9x)ngmmgId%}W zs%+cu^Ui<_I`*z!BaS`U4SVIE==)3U8!xTW42AZYr*`@>aUle!5 zQq+KhnKlK&->wJIqE&!*x0i}hV0xSHom}+-z<^gqN^k}JBV}FCx0QTkhXx3`r6uUH zGYDg0na%W9Qhvdopt}hH@TRG!zl7nW8U7YI=*6nMqAgKx+q0p72uK)~{it24${7_xZc>l&yPb>w?fXy5JXo z6wo@?=NiVcZiSw8(%l=X14|pO26RmXwNiVC#V|l6W@0p3QYxHeMlajWeB+*1GX1?5 zP;@x1yL@>iNYlMD)*x-}cTSz9soOZ6x2U!1)622OONl^|6ilJKg1NcOkCgMx9)*jkfmLIekL4B~x*VcdD zb@52mfK28;sUwIxezY7m=b*l7lfiq>b*GK{YOYB3oehwY3WXEO))+?4@5?OcpwX^% zBhp3sGX7&=S~tolgmcL^ISdz}Pda#0hNpLt)V;gqS&-oz z`VWFCsaS)a(pl?4Ge%i}j9g3RuHEJha{-t6zAfxHfnUS+E$gfCld1Q+AAh{oYK5bW ze!NvnZv@x;VTotf!Tx05ATC@Vus#wSow}CVNpV!8c0UnNT_2Sa+kQoTb^-; zhSl!S?`0K;M1^w9ht4{-52+(Rdb+(eFzDD8h9$4MGZF8u-@e+hd zSz*(&40HQl(lAt{Ne{WCvxDmn_(V|WV03v2b<26224koy(z(9*4L9^0%D1l#=~4Jg zA_JB>?6+q~8<7h&yNBueUFct}<+I$TPWo!%BA2>uh`y!x*k2{-GaK4e>n?xWG4qzy zE6pREvf@|pWMydcy?Tx7LD%k9>{q}W0GKzHPS*eQ!~Ee@u^2A@egExWk7bKy53ae$ zuAhMp!BI%u$6MCApy-RBd7@Y)4V`o*=bT|BQ4xnHStX!Q)k4v$3!>Vei&;vj^VGvB z8T!?OUrYHyeYf|cdp@nNe!oC@97Es854od5TbeQPRHJ=r+8$w^5rAZWP6q9B_}H;y z%HuBkIkL%OryDJa#W1D$07l8OW6 zt0~s4dOOR^NlLReiyb;dI zXwCqcVTCuFFnzD1d)u;SwrIxn%iM>HF%3mmBLY5j{%$&K-O6kro(v=fIV|EhQZ<9` z3&_f^X9t@*h$Iw3WrL@YCToxXetx3>aTi+5Z4Uda$**&Z64HYV{%9N2vl$Jty7&<} zsN4W7NP4iL+(F&-&o5@dVP8md08yMXXn~CNx>4>q_v_Nko$iA@3b|ZaeKDXL=@TVD z!tv$tSY8tD8E9el@V-sUmz#>yLQYQAZdgOI;GpB-MVdsmx9?)hEF4 zqkv>`CD+p?t44JCvqI&4$LN$mEW(igYH8RukA*HA8UR$^TwA=+HDABE)o|j#oe9Z?j*h=tflwCw}1DU2v(AQVlj+XFk z4>ty_#p7%ZXlf*w;G|rySQ<$Sn$GFkZCr6J#?+JtAHpBjz;D;_%C(g(xrQ&|;iN^Z zaGCJ;8Ay#SMMx`_$3*PijHb1D_h5p$l< zR76FQCUuJg;w&gsj)+L9h=SsKvhU}4*8l7O%e&qW4{KG6RKW8(&*S(_#}#+W!g$}F zV|zqIME057G_n>E`D0Z?L=^L{KfwP;@}|SVKRU4Mw_!Fxp0J3!Ay5(XyRZlTK`?)x zd&k3}A)!7&ff}mkKKd)yladl0IlrWWu&-=P{5;-&VH=^Ly7{w@6#BPc1$8`}d)_A0%nj7*lj*xyIv+@f-GvL zUfXfZZ)^^Qpe_DVBWw=XyM_%Xbcn9A@Lby3bgE@|mZ%0o5Yw_o@tcwz+}+uCu*^@* zfWN2_&0~~ii#q6PsEDa#97WgXoMo@CW>2?ExMSw>qWfrYu50#rj~CSBFy=@vkIN47 ztHEOf@SG7WJ(lly{rdHRU*7!Y^&j!zWq+nBSYkgt-K8z%#vIY-P7J~jUtb+ieS`8n zy1^(#4bV^}D^h3OS0+;;S7se+-04wbc)i6%s%r@frxEdsHj{&^rm53z$N4=y;IORuw;0tDwX*A z>g)J5xPTP*h&C8}N?Z zEr`%v|MqlH7GZ9lNbL)3o;l)YNnyt96cNdP@UQvbL>?t7zf9%6u)v1qu{rOieNg+qtNfdr~Em&mSF^=)%B(D6Gg$ZAqn%Z4Z3gJ? z2tG@@v4-~}UTslsd)=5axG_o)KudGOvs4J1%d7TjcYIWhdEjj2P!KnLKH?09k*&eTSEE$TfVBOUB?c2BZ?Wx#lcX%pWgWcng)TZWcrM}g!B`HCar7h|c5wO5`zF7_Mr>1Kx3{<@{F#}VYB6`5WK8BdXViVN%aFq# zgu$#K(6*t%(>8n5mG)XG9Ex6@zw3&F1sC5qd?sqKwsT;?sw{ur%2)t%KGY*v%3 zT>(v(7R)R;Skd+51DB2bk;<@jZa0j#3)Vt3P`b#_e z*Iu8{i_~ZwaBRF+Vu@OMLBF4B?h>Tj3xPt5(RD8UYE`E557x0)qc!NpSkEvwCa1?2tTsXNqn6-;@ z3H{;ooMru1WfBDvs$&Pi8JCHP?)F{a>Y?!mg==o zgNVtzZxPTulfDEmOU~rwD7`9R86Mb%9b`48!UZ($EPJDv=233&6jq{4QK&Se3i#}x zZk5IyYLK7nV4D@{ZIp%T?GMKbIhQ3cXT}NywN3=gW@m!rRGVB%rdB|fvz*r0ot=$h z{cDAhWUZE89a7ZY3ORSUlM$%B_n{Ezhnm)9Q>t$zdLs5J+h(wzi)?EIbz}P!JfIH# zn0Rlgh20hy=@Ubt`$doPyGF`O^A@mHHNjII&EJp);sJ(Iflcp~Ys=|J1qr@L`jFQf zRk$`{xl3V$HXYK&X)#9m)MfKddinnP(Y{7P2nIP9heX|Zv4iG=0}*LhzEn^vxeYXm zqN!VSBeW&OfyqC$)&gx|VM7UuDXa*m7IP?$ZPB1+ak$A~scFi^PK1+VzwOgI$79y8 zNA4n$7t&*co_+aV0&h!4u90{u)uhYxT>%_PP=mt%0;NFt3kH76YB@>(B8XhMVPSWQl7_9VY1Scbr$m?@Gnc@M75p=k=lcVFfKMlql zK|8Msi|X3CYsBQRzusV}WpW_sQoB2+@BwvQr^%8Uo~Lp$K$XAIUlPDr25yJPxv7~`|$jdAZOS%-iqK1JCKp~PUY>t)arZG$;k%1vT>%S z#rB7YiC|-l7b$OdXCX;oxV>R{L28#=%mb(Ht6$`^wN*0GvAf`^0UTKkSBHbdt?DzSnuvOluN0I1euR8<<{YRh{YQUqv1xRgPpk2UpGS z4|hJkyqW@0^}z-up!a6_OKfk>8BVSbIL_9>pCBSjagn2H+nY;-Z2_6pNH<`#K@eM{ zjg8L8{wuq#Ctv*Ws%WJi>?vc3v$y;G^}1$H49~G$cZtI-?^20sYCWA$aPcP_aCp`e1Y$Z-M;aV$P~&r);$UXVQt` zP3A~3B%@@zkru^FW8N=-yBDxijOhE&8~f}NR&tX-7gj;jf5*v$4O#WNx!c(to&+7* zDTYN<{P_+oNh99XByB9i-qPok>KGELiqw=f8?Ydz2={xnAK+>NVBmB9*xBfDYU+~*vb}Y)0$}ZhEZBr>De&oaqRscU*l9gZf7nvkCjlO=;&VyT>lEV zPeR=`Cb3w_Qm&BQZA(~5`(72G>wr2SBI1qs5ArB;AJk!1iF4l(r5Q!}^qpdQ|8}@x zaz#&c#Wv}tJ}ks8d<9^WWM!t}9xS8iB~gWOzlgBt@RvttQlhS6L5hXal~U{5d!);L zPa!I{mo?@a9u5B0EN+GLjc6Mf75k%&u5|1QqcV-vR9a$}aef=P_~Yv((qQ%B;|dMlqO?>XX+9rp|- zRZ83GC`@ft;}(=8ZV$zUsUfomrfRca`1y^ucKVMTMoJGx4|t`V`Fj>l7c<;^aAU^T z(r|0Fsngc&7PEEMsyGxZKg;uR4DynnPji{eyC=_e?pDH|5MJ77eTosivZX+<`|EZ$ zgjzi7OsyflX?S6v!8S0PA!BkG^mP*}HG1by3^~p5EaPs~KYu%u>ZE6jn1}bWhPnbcE8!*?niDcJ?Sa zM-G~6H>V6`86qq2%<7iKpI^ix;07ASA9L0^X&4! zsL4sS6jMfv_$}9_`q%R5GEVG6RW{$u*t!IY7cqNuk2Wn^5sF+w^iY1HTPErb=M4lF3$&2C0c#PTw6XVE2r~+yH<~ zMhW)%IM|x*^4d@oe9cD-53b&a@drvZGcvPHQ%Uj4h0}7K8Sb%?y&WGP@0{wW-(2oC zmXea1dSPO_MsmiXu~;oigWqV=oLux`t>>V%&vo{>Ej~B-#$N}xF0QVw7=U1dNdWb! z>qIO~JX_HZqO~^hRgl*w0$W%=@(=**rK*Y}x?0ms_gZAC7mu$9i9vRv!%WuZ7xSEp zwTulT`4id`55AN@4=Iby$j!cx3Vh|MJQu_ zO~<~%fp@**Z9@`KB3Y$aZtMl>EJf*|L%JHk?R_@Tv~J|-r&%l>xj)?ou0+J zw+6c~)3Ya&^$v0;0J+G8bhe z*;>rKg#5U&B;INpu09whphdF-w32xS%LCjzQ;DdTWNu-E!9irK9)GcZs-uu?uzgOc zGiUcU7a165s>IuO?82EPO0qSn_l23D z(f6u*Va4k*^fT&2!)cOFPe_C!@9O#mj;~vC6e%WkP!rYj} z>Pa-tH3xJwq?*_oxsoMtm`yMkz268U_Rct$uxrtyNVAQapAIh`5syYG#$R!Kr4pbm z7?lqB`$TYZ;xWyN@dq?$YLb}2`thYU({?3|cE3^Ahz0{V@3vnRU{(@Iin;e~TBNA1@DM_15_ktN@Z!Bc$ zmuI|U%T4O_I!^er=_34XvyoqN(*P=pw_^Yl?ICP(j=5{dV5{Iwd`p&`<&R9&=J8BH|1+ zaCy3`w{2>ZP;MJefw1+{duia}s&FT>j1i7KfUDP!a~stY9h?Ii64rE;ba4Zw%Ec41 zThx2lf0_~MKh20?l!zi=-WXnN1P8liz}Ib;^n=S2aHP9$`JY)R!*>b-aekMqA49)b zd1OW2iXguomp;;Oa+bXtiqx^|x`t#8be+omePAyCTMDo9{$J!)zNK5d;lHvM8&qp%27`BW~%9@>Q(jJlXB1lp@RPV)wlBk+FJo^|1}|nfXY)s^s>jQvdto9)4W% z9$ckaaCM{AcF>LufF7;eZVcYayj~N##Vgj-7Y!ZK*0>?jR3`0F+s%ooG^!#z3s@{! z#$*oowW1!kq3n+EKskls;~Vh%q_lc~?2yxxm(sj$KK!4{z+)BDnp9X32LqA=YUy47 zfn(zT=pt{Q@0Gx{8MzUSmffzS+vEkZatkxx3F^-H#7%`a!x@zg<4-oyEf8%k{kx?& z*T^9@HSdk^w_pV(`ko`sLHL5M`zu}*afVOpZXJYP^_C1T;@-X)(BQJ%Jn0@W8MZcL zV>!M?4MKewO<9Z3IZ+ksM@;K2_K!jz4xwi1M`Ocg!yF{+&-mSP{6VZXGsY-c(>~GHvzR!430dz_%tqQkL;bUpzh@^dd%}X908F8xZo{3R@P`Fp|;ACCb?UDA| z3o|9(Zq?Cp_t45SYU{ey_ibWVvnw>IwkNog8xyj7e+hZc=MzF*P`yC>ltA1Zh!yDW z7jYY0!uF)?ABr}a>62!#C&ms1r7O1~3Vj@d6j#O)zTH&(^s$$Q>*G%P(Q7dIX4?S_ z4oAuTdm!!%l)-3z=N`M!z6AOvrZd}{wl!1t)fuPg`SaVS5!q8pEe*lOx<)6V88}Be$MXYM@yAbhY-)OfPU=ork%BNeNeP@zb?SW5ysdovHq#*K(%#VY&i^D z@vaf=JQ9c#r;Uj7rwX!QXSyG zRJveIo8Rp&IH(;{)#$DxSS>Y_*V{<%^N4e!9&^G*p}GPkTwzxBQ|3c2`v?g`847Yv zE!C%#zKms=kpaW48aKI#kW?4du{$yfQMkTEH8)uA<|YA}>3DeoNQr&k?kTUH*waWx zznQT@hqxv)6M#-9r7>-)4NG16+eLKBnZ^7lyE#U;DJrwU!+alLaA}=nt?PlWwE1j^9RsP7c8{eiANYkMb!^R?0x{%Gat0Q z@TE&Cq{1W}A}8jTTLXGIW5Kn6pi{p3Ma*z4)zW}L%vd;e3wP)zIeOfuG}r&jK5ZB@ z9roF#+e~4aBN-{LbRL;tQRkBxSuXNzu`NFzz>DnPa;xklyAIGW}g-h#LMv;P_(0 zsN0&bW(f77jPnHsmV%HXu(VZ&Kcj#s&@}U2ym{d{42bABnu*TaD4=3AM(OPFU#P!z zq|Ovso{+D8B8^oJEtr{_ai_)cUirvSfq*iJJF5FD_e?ZKg#~t7AfXD*b#RA6OY@?9 z>+fPFqkRm~AAJ%mUin3OH=j9L7N962fEJ7@b>D_QYmkNws++uAqf!i`cmATNG5I$X zSPh6F?%VCZL;~2E_hX?4zgnve24KfKwrZ@0_E?|!P_&t2H%@tCS96+_iQF}! zimDMpC90?MHEM*?p0wHJdoS+gvc)a+$Y>iLJpVZ135@4je0dYJi{Zu3Vr(6BY#R_e zod&lg++)bBQchD_as!%qRUR$2y+J|&e)1`Xy;CuaxZ%3GRD z`4U^FR}i~=D8{mpMKex*1}A~AyZ<^6rCS=uJ+l=9lnbe)s94G>@4(3$_cx;^lXMo! zyiXmB%g*qtZay9O4wx>v=RIx^H|QbVDpPLtKxXk;6?paKNV2GnLBvQEMMa;rF`!=^ z*3JX;{)TblF(g_2BGB=tI;?;UBBLJ#bE=tyX1M-v(+yu7YntOUKg8{kmEglCFy$MPHxrQLn36utc?L~7ciO|QudsPZSRrCh)|HSE{QjL_+x2iwZ)26I%4>MtJP@1G#`61$6ij-tI$+_Gs+j-9ha z@ND8&=IKjYR6hu{9Z;n4imguoco!5G7c06?!Px?MGa@FIm#{UpvXZPpZtF)-fsm7x zI0t$&=^@o*b;FQ55vthv-Cf%TJz5KG1qiHkOOmnjlg%F(H!NA%z^v*|<5h&p+k=bJ zy8CPM9-+(u~Eu1Fo`+hpS}cLMRj}8DNad1xIUl=NxL=h}r62 z+kV6c?H;%0%$NZBeR&$;6Xi=xsR!s)H=`#gjWIxJHLpQeRzmy?bA3^7Sz5yscm#xs zYkR8hsD(?E(pIgcUsVaHM{oRx26UMNW2Y8e;U?um#u`Ju;WpjJ4FpY~G-Ot(h99CPKKJaVM>>ZpEn;DUy(>P*TWsWy4?QsSv zKxw>9H5^Wv{!!<|II@~d6i{B>S?9ik^z(QCt-2kF@lsJo%f{&QyBws(a1mSF5iIW#sVKno36CG{9C%k z*dmZXRg$~_0$Q5>utP=XQqcfhsov4mm1U8zUq)w0Wf$j)6$2uwEsn$t=#>q+ale_UXkH9E^z)Q?e^P-o)cRggo%PR@@&x8Rp;+XixnJV33Q622y^wE}o-05Ov!d zck43svBg(kxLuqkt7hn>>8Dm8*`S9XONllfPUzR-0{tK7m0rU-zxe6;jJ`UszZeI?9q4Yh7+GDrS3Z{i&G211i?^ zlAo@%j}_;wwd2fviP-7S*+FfL5sBV-13$EK?N+JkQ8KT{8l}`&x#gpED8cTI9SWFn zh%L@&Aa&FWd{X{7_>o%c{`SkoVw|licFK~FWf`sCV6+HrgbpI_$b7r`HydhmRr2erxvvU#qhzsxe# z+mU5Mf@_3k*xeUIyM@Mlgfyt`&0`UbMk_V+y*Te{@GMPyxlJjK9fS`;(roW+0ZT7X ziRzZ{543dOVLGV1YW6>tzR1mlll&_wQ;Yt)j`Wn{aM52KM!TwSn3Z0 zGx3-odzOTf<8B??J9e<_8syNom0e|)1{?R8!<7HYev{YA{-$Gc?bXM+}o%9jL^UO9Jxj(`+>>f$UWB2stl zGWZ)q1WV-A(9mG6paYYezxkW~cGuM%QD;1Lf@3DbMjegwA3Z_vZ93$C)5jQHIkt@} zyu9x>{8wO1djO{?(fr-H6HC89Y@k_)!@PjOmBYtpRI)FN?iXT4XN9RRs6&8M}PPE0=+n?*H$8;6|f~ebKItn-7rP&0?80P&x|^pCa>shL>5FyFun@-=`=n+C0&vNLzi^nNBpu%J z6@KHVKcxQIMHlKqDL$o|duJQuS*80geiPaI@=Jia00A7OCH~T?Kk{ zquzD8tS~7=awt|tWl$w|=INRxR6>`6bM_{lTXFKr4O;|D6{3H!)I8fW^|W~%zC8#t}Tw6lSuE*e}OVtz!U9tqt<&_QiD5XSid^uBDf7_-4R=1RIm?2)q{Yv9Qyu& zHjoTot6zqR!V)ZwF!#))n;vF-?fJAzZZRr(zR29sF>@bCB8<2r;JUz$Q8(~8xqvS? zcuSYvTCdz$)TXHOz0^SISR)TP|Js|~B|&J9m!JyGMrsrj9WdYjeu;x){NCr}hn}f3 z2yFdz!y%k#snBBUYwNg^_<$U3P0xg;J9Z%N=zM=Bz6d^Ys6()qY4;+?bzp>H7ETIz zn6C4_B-KBvMklgJ+ynGI3*vysTux|`b4TsQV3$Vj#g^$5h;?6vfdkvTxB!OS0Pu5` zM>(_8993vxwh`SMsm~d*2?tsP1)Ni+L3A%+_8Qx3{pWY=)*6*+u05G{?&yJNF+pVH zRHC*&*!|(aKEy!_N!?PIbzp-{?luw4;z;`HWVxF==s#YKWK?W`z)%S|rv^SQh>dP{ zCzsQ-We=rY^YFfGmFZIJdz~^7InGJ=Xl^*F(m)Pw!D}rs%S>5q(8*+>cI8R~$=i8y z4miV%bXJyMHDkmN(P59ZC7zY|QWOvG$a%(uF3#@r{h9~C^p(5YENVI#+XT?NHUYZ| zd;DqG-np04I1pYWg2kd!Ep)o{*&HCpHgl|Mtk%}*x>cELhn+~Ah}C&=AU}%LFq&l! zp<-u^`L_rv*s;F?^YCni;boJd7RZ+%U_1vR^0|eq8;-L=)&PX&XcPBJXpXn6Tjb1P zDqxWl>qEQD*p7}@m1MHeE-?goUd~)!E;C9cN%~Tq;^mS*JB7&}Mi|KXAgKsnontq~ zEqHnMsCuIm*0yZa{0VN(h!iVhNQ?#QVtDc4`UB2}t&O+kF5tB%N27j}aumk}mvZ3| z{u4B3bzzdjx$#gB*_9 zR-65@04fa`#|x>Za&tMm#6|S))_)i{J4E!L2YdzCgkoI&ED*mVw70anpP7cmf_TBD zO!uuLLs|s^xA-cea$AQUnR$Y|O=3$;7&z6(m90P#It%PJ1s&yKm~-R|(q{iQP%Ca| zkKK9NGgk}x((}4<3W}VP8)DANBBq2-!obT{m*}m_Ybf70EF^fzS&lCr?;!A zSC*3jAj)AAs~t%)*&}{ogCEX28RAJkTb#=B@;KSxuLpd3M}aB+_CciYrHu^!>1_WL zm`mL3NgEI;OH#$J4v?dlniUx5fa~N4`}@ravase14|<@;F{tnEY7MfdqE*LxTf{hq z5#WtA`O?Bz(0r2a(%6rO5x}c%8WkQqpP*~NC9%Z3fB&A*K(Q?4JF)pD4Kb~t8gzI^ zMn=X@(SitD1;D-bUyIu24wPgE9@7WaASKC|-(xgoV(dqte>GeLolHVT2j>0xm$wv3 zE5KWC(@<#ZG03-pU`l&wSZ- z(uny0$4rVKyz6VzB{yvylaiW@O7+hIX9vET6WV9ur!RDn53_(_o`ixngzdw zsSc{%v-hL0tGsXUE`aU#`;cld)S!F}NE#$L(5s*}U10gaxL zKEfU(?&(u}ZCqjRk+UDL`8|5Bck@)B`zof>Of8EG77wUo{F>@)ylCNytnO*NpSCYt z*l4k7NGx!+ijd9kdouj%WVbLeY2^iG@31AI%!Sg_zTu55HRv6eC`Pf${%8PkwY%Re zy}=y|o6*(ryBNvaW_ScQKEf>!!D4a>}QVvMzCyRhL^m3A5wUOem4)DL~6zrDE< zpd*89ZvhEJ6}dDYbk7(LhZAzAOm&j;!b)*~CH0Ov#mgP6H3m+;RC<=8Um)@UyT}#Hi7z)E;2_-T}MG)k(frm}_&;KYke9 z2@K+<${qd3cFDkQO~CC=_D2Lm21$02zHpSXvNhaW!7?u=_;g`L-ENOG&FsFQY%@5Y z)z~X*GwY*HtX}o}la#HkR{8o6K!^XdZhHfOA)5F~U(yqZwHw`6%U#keCeFMmsdEFi zQ$7ngYl@KD#X436sa87gi}Rmbq?8%QS=3e7W}2cRpE?Nc5CM&ljBtl`4xOA4TJ|$p zhinJCP9tBf^r1}CeP|vRWRQuVi>pm`okRKy;p0S?7V>O&8lp|W-WHHVtu+J9ul**D z{9&D6TvSx#c*z)9u}lG0>tvit?knq>4A7P?s6H&(@K=0OGG}MN2GOCA!G050q{zyy zgIiDuyQO8o1j13xw5JviEORcBdr69=IX_HyL_IaO)ca)=-)+27b@0KlQraL0U`a_F znx`~WI+wzBxUcBm{ro#OGZvVt)ray;y(7!@N+V>}fx^28@+Kx8qi~ z9rLM$dgJM`PJ@#x@EbU06*dFrqiSUV0*2R zFkVkGV5-jdw?RJLVcFOvjX|y?@pw^Of?H`MCu2rj6jBE_)Z*_(|zc-jqS}fULsbe@uKa9OEZhcE2oRN34J@j(&fqXe8d~iYD5U7S`E9B8eiEISBSb z^iAgT5j7Ud?sHx7@l4g%KM^%$E)AyX%oYp!dm!2SO{^%f(8sN`fGob>VPM#jPQu;1 zwzb%bQHkzO@1h^b+WT0ru%Pi?#jy{KWSg z0^>db5{R7!U^-c<6QCU_5T~2~h(;qdsoVJp(fz8)lvQT8k*$-WRa~8|P|0li1$2)u zKD`;z;bV7$YbJpyoQ1!!GNo2NtA=N6FaEJ#`lxH`!{CW?+v}Z%S^K!)wY^r|w&b^x z40!WLAc5g*n!XN5S$ShGB-4I@#4_4(cNNUEDzd>A8vv?OLbThA695cS+C9RQq<@xI zUZf{61@`IAIi27iUz_f(W=6ks1Yo#Mss2*T`p=T!9E4y)rEPZH3ze9TL~0_Rc4IbA z^Ao1|2{2Pr&$_-6rDjJ5hdJzd_R2})B!6t%X=+5{eSm#?OSVC=Zfu%VP*%?DTiyWC zFp7UnO&ia5;+#_Ac#S)u>8{Y7I|5mr1Ryy0iwo%My)U{}b&pHXgSytHXzV)y^@6(~ z{My^Zt{0}R+qs~pFtqM|e%5psMmJ2LU90{lNl+0TS!mr3?~s>J*(LS9-NO6R*h|G{mk$h*6LZuylpNB>ICd`y?$Ls03mZ zFTRZQW9YJq;7kg zl6ZAU+WSL;g~rKEJ#oe9P8E!{I=c(1uIOszW#sU`oh^u$ZT>Jmy}42xNdeu!CGHlq z_{`J^`#pWS?s0W|OiZi85OW0JTTl665RyZutrS(xA>+V~y%Q@~uE?_NT>)U;Pr0VG z&d%N*mykEsx(?xO7#14YR`j}KyDi7%l}gJKoTC_8sWPyoN47Q{p}v zoaDoAs47At0TKvK&JFI6>>U}kRhb zLmPZ)tr&M(t@@0*C>y99Lz5>kY1lHs@-s#N)~y3qw-dfgn62!6Vbx_Gbc44?x$4a? zzSZfPx?gx09rfLLK4hZ#2c5)d0c^&NcuSa?QFpRLhM^N2*s=C>l#*3$7uTqOHJH7- z%*Wf+CexI?R@HL@+Fky8O)EeW!Bakp8Y*vrM1Ui?Lc3G9WE05TxQgHATl8F`+-dY( zN`^FR#)SWwDK79+{nFoNFX~4F>JoGb1!Cv@zuHHE#4qyqd1R8W;;rFhI$bzm2euqc zVJxGH?AA=c#Ka~%d@43NrzYF8)p_GLz+%_BY@(nahzX;-cc}jP^nX&k{HDI?B0yhb!&T)xW@*O<>lf zdh7ZsKKv%uiXDQGE#;y3Pp$rnWucq*AGU zL5xxYAxI5{IzUZ1Qf7~@iEgY;W_V9pn}i|<{TWwf$?ZFN`|@Km3#^N?xGpy1_Q+-X zO97%r;6hN2{R8oo1qSXq8}9!i9wkoSFJ0fMx91sS&$9tBb#9Tj(f?6Qc`E zB<+d!F98}6@a^N{-R_mNOAB%tCN-Mm-S=FB5um@}?%XU8e~P>3hDQo(SCiRi|BYz+ z%oFt^8oOsrbgnen>UX%sZa^CY?;q@eMBv)bSpB=MK|um}Wk&3flDNa5FJm?rTbFT= zGohT8)Ji&Y1b6Yrqn-Qz1~VQ0h-P<(!LAasLl^qAoZAX-ru80fnJ>LPN;e}A8pKw( zp@~+>uF&CV?#u$ZEPmg;%&3%jc-n}j>(OH3A3Suv+na^@^2^QJ8eK*70@YVP-7Xa7 zPHKU~d$KgGa}e1DEATBT%lty(h#`7&&{(gbRmz~#x($r`Zc%8IxOXkTvOPSL`G>*bA)Cu)4ru1|x-i39okIXBfeWMhXs(D5 zy{D>j37a!&=G`ZUg)>AJmkf_}SPrgbxW%L8bbc#Q9>v>QSSN!M;$S{F2?P`soAMp@ z0?yT9EzZV5sNFZ4!6C17%RMmQT(#?KMJ`W2`@(x#Pb2BLA9^Ka7#rhq%TnGQ8C=fN z9~UxwADvosa4W#elA^0)UYJ1CTV?cyG$wg9Z#4tt2?n6w&SYPwqSQV2Y~>A13J(1= zJrWZDY39W$ry0>D;$$rqrYg`IYVS;J?{NT}gIwCbtyAE?{o=(7Oa`Qm17o5aEtq^~ z$J)%FUZK3kmqH5#+8-II!GoQDsvZ|=J|2eqd4kM-Yo>azKS(<$-yHSwNznMf`l@Tm z!S9qK_*MQ7;E#2c*}~6Pae*|n^-mzAu1*M=Cb{XmR$n87maWeb-J|-Yq>0Z67mzz1 z5dW0akHWOzoQu_+7w9u;UrN-|l~hU%uI;h#Cv2^O>{`s7y3vJaG@#oq?(i1I;9Mdt zTwQ4cyRU3_$pv{PKe@7C*f?mR+Z=n2xZhOET`*IfpqYCLn6|LNIC;^a&CHBAi*x*X zkwdMk@kj^TN1fY_?qD3OIw7a-w+jKt$>j{i0F~{i_XBsG+;}c_OJ;+1>9&x~-_d8(zz|G5eAOTSN|Xb8Vkh5|0xdW*mha}SWOa1!>;^p) zGUj!kK>C|wK%;-LoSCVpsBoHy;5Qm_GK7()N!*8tknUy{2_-W$LPf1>_#JApsj)%4 z`QmJS3q!wYn_h>W`N2oOv9-66`1Fv`);Lj8{FcNHAh^%g=mR68pg0pua3B zJ*$myG-F9r@5x*NbWh6a&zw;BF9*5C{2Vz>=(6 zl1y8Q`UT{<7HFAIg~XdWr`2&!oxCyR`Y{s7Yb*w4uC_0GX`G2SDeg_v%ui?+qEF#) zP19Y>X4<6f89{y?4|00XH|DdF9le0W?B*vdawVJhzmf*A{@`REddYGdF>pB6nfkcS z4#U0`*>aznSeHlAW$QH}h6J~%w{-YY$cLPar?wq$*7R#xYN>6}xc<*_kH!FUoQSnr zDG9UxbO_yq8;K6e-TK(2hfj5h(%fCE zuwPF`G~oz;pew6X`#EK7UeRQ&a9q(Gh$Kwu6SFr2g3XJHKH`gWQVV1-dN!8`@&#^b3*^$XAMX=#fqFRrb0;KjGNpm? z?Nk7YxT80)-1kdgyyc^_bmY%J3hTW{78e)69OOZvOf&eQJWwGQW;P({Q0ekfAU7cD=A^}=Iux;16W4~w}4Zao4Ut6L5Rf*2O7FXt1;h~r*KlFQ z=@=X`AN-Z2;bnorU@pu&Y^@>3M56|I%)@a;>P~c+ly;y?J-0M$Ot)vO)+2jgVW%~k zo0$bt5U_?}`*@)@Ve)bV(27E!GQMsDunV1agrD#gkP!nL)-ESXwTBbsrLCRab>n2& z+>t085MVCgg~Ti|JtM=bb!($k4Qz*S3Lg(k2m5k^lz=4&11E4gbQyn&V%UH|_?W1+ z(Tj>_a{2_CxkAEGyaKNUX?$oa0^;R{nOtSl4QDWT_Aj7Rg%Lcg_sRY1cc%$#9~g$k z#2RB(GbdwKdL_}N<5ljAYLD_jAfh5JNGVr0-Rl_C0Re{W#7;u50?+I|aPn_n>@(`7 z5#S2W*f@hiFleOueN~tXZ~DGA89}c~mjajeKN8jQE;4;f8nIjga=N^b<1N@GNfxh z)Hlx56b-VlSozjlI1u^6tYSD9JiqgBrMogLm(q?$Uu47fr~ zG>q0m0x^^fJ*rR`8!X}W@NWE+q;7bX@@Q@k`0@FQ9T+3WX=2h!2Hw2Hoe&%B2xs6x zcU%Oi1PeczQCt(S=Gyg3=#MLKZxmTO)!$aFdf`@Gv;2rftJ_$zS4mw(tRMv4-a5HM z#oW>ja-4QA%A$(# zteWVqbaNVk!qwb)!!u$S6{W`!-}q!!!jQ9eGa3zxs|F<&xs)GzKI0YlXM~fy5{GQu z6?0b|GF6f0c5iwN<(%@ACc}WhL>;Ey!4`M^hDeLBpu4pC-^coQ83 zc#G@s+b06h$94>jV)Oc&G>{O9bQ^ksyvbA`jk1JI}OKwZWxZC}_%)gZTOwG1y z&;?F7oHA?9zvH@C$o^Mv%M%MF&9abQr_xrqXQ(-y$_uo0^e`_ih8Bxd#O^&aU&7uC z5At^7$W*r>792(oqK%bQDo8h&=_7K95Ncf1tp$BQeaOpLvGNOLPpo*=Bi9et(j|EA zY)CP_0bYR$D%qMbqNb_}$j^@+%b2z4HsuFz4f7rPRqd@^2;W=jxk_?4ASY75>`odP z)&MW}FB{p3R2pXQ4tN6z$_Kyr{7GK?e-KjPHcYTIEa{~T|-$F5uL z2DL7B5b%`yC-YCWSGnyL5&21=Y3tmbjlB&_{GwYG2|F-q0`dHX1EGJPczMV_Rz#%T zHA0Fa89Rcxr{2_!R{Yqb6iZz0qVlzVkQ13l}EOtT;gKy7GH=T;=&Qxx4_`9u4 zh(4z>eg`8jnjCkl@Vr1UzKjLPtJW5L=zgDajOQY^HgG`{ylnq5p`80)k4JwUd9|Q^ z;=iAYh+K~oezO01+=@%pIn^ZeK2f4}s!5l124ggp$9OQ>7;1&rX z0s~ky@ayZ2krv16C+8l3!C#8dzW};&U@Mvf?!Tdx=m&Jy#(PE3IXKA)+ipr72PQ|L zP}Ze(fV&R(3nzfcH>Acv%EDX2v*#v{0$dgyM$`hH1!^pCccsmQLK^hf6GV!VU!GE0|T|pH(X!ViKO%L7!CJx1d z$Vn6F8s8SJKq(Cb=70Ezqt`eOE|>@MN42}k?jUeG2eJYx zM*X`V>fw*w+?cvi-_~OUI+!U;Z95&V3kI7)c?N8-FeSlr))4l|aH&fn_g8^!*u&uW z2W+nYa!i~9!~Le02xxMD|G!=DK0ln*!2vhX0Io~qngxVi{_odN1MA%{zmP*o`r60# zJhzS&%D-_mAW-k_Jb&-&E6fNPte5;!*guo%HI-FWX3a@SGP*#9-vAk-cDyGTb&ijA zoBC-95=qo zX^{Gl2aEVNRuL-eEVL@xBS(TpJ32ZNI(uvFmLB*I3zE@VV35)C%Ld)DfVB?dTCa7D z-!2NTpph^Yh?x~G9$ZlocKLuv$jm#Bq_~zRCgVYB>}%fGfUhoY8Q z6=uB<=22a>T;XthOHE~Vnw>`2f-PT|D)Bh>vZJOlf78^|)PG|pqY=pPMAvp6Na|2G zH&(Lq2;W~wEdrtLfusWK`e?Ol0APfn+oW9GQ7|c@Ux`MCalv4uu`sc`2%=BEc7Np5 zp+VLmxr7gDb7>5E@YZPN3d#g(Umv4}OT3P{V5UT|7B+5zij?1A7*-p#!CzcA}@bI{!;}mw`kXU9CVu zS{zW*LAE>~{pTfCcE}Y6Z$GJSp-d2SD#8{uZ9|XEw{gfX_-Y3 z*lfHMIxD2fvw^@mGFh1ft=%vQt;4NF#v1WFMOGdaVCpHi7BKvzsb31})ja1|aztxZ zl3{&NU(Ti8YEN(z1oJ7k2;ohDD*x1nUfrnK!30TxiF3kC66R0LgTvox^Azl~~d)@B2S~qdP??i4bWho9yg} zL{|2?lPzSETSkfsQ8H7=-g}Rvl9Ii*%HCxb;dfqly+7l3{Ep-IJ-*L>UPmw7&*yzT zuj?F-^Km}Twudt>b+SCs`uWbhCQX#9fIRK{QUWmgRdhv>5Q|eR1AL^B=Kfc^QosvP zX|so{`SzWTc{SjERQwzTEZ1pMyV%GZ`$u02=pV;?1D3xPC& zH?3>Ki>QZNxLKt_=#6S@g^xrSzk)Y2_4)%%X-Gu->z|B?{{g<-EyS&gi%N^*d=a0g z@MHjBow%NXF@S_#SR7={YFW-7$mdE%9m-{(S5WPCCQ2iH_vZM=C&j3h+*l)n({?=` z#BXen{tSV|Lw_wZD%uxU>-`mA4pX>S46rc!o4$M*Daor|60_x;d;iT1>`OoRDEiHq zBJ(y7aZ1}ZP(aAE8*P}x%A+qb^Eo9ruWgB6eN?j})#XfgzTRu;O}{*pv9T&()oPbq ziNz$EjrV7*G8=kB;|ovq=eUk!4z}H~N$&OZ&GCK?57DwY(MBCu-`mBzUq9Etv#V?$ z)Ccb|@@CM`LSbkTI!BJ^UYZ2^(00eGg*9~5Z#a44oFC<-RII713^jRELxz!J&a9)H z+)PWWkNvX3K&B+I)-Kn= z+*kh_OJ~%+;Dp_J^JhibqpPU9D(5=mKzn`33s0{vt{KAwFcWAj*23OQ?Tt!pme+|D zENsmz0$dZRfyXpE>U$bdw{{jCd~F9uac~kgeQlelj){ARB9=R6U-se*FkK5;Kb;Ig z_>WPnxv}}TI_uN1z>(;Vl>9X=S z%Vq_4X}CDq&mo-P3|b87+U}ZkTzDHs9!^eM;g?MlSv}3rg8qGJ{*FPTe3fX$VbN9+ z=P*BJKgxQqhG#x+fBE+RqLR__G6EKDq*9aK%Jq%#B3YVT1#pdn@Mk*LXp^d4SSbPY(}AX zx_>jGfOYkx&+R2LM>XM8qJHLNHv(X`*n6=9uMAj-U$c{4&&J?TVWh7?Ven>WLtzi~ z3B%Id4QD$yU~deS*mMmS=JEJ=gZZ^X)sEjUpa67sX&11W7*{<>I`SD-d@fz1C-lL~ zP{}+z%=w!AvFgT_uWLim^O}6+^+7$Ewz!@NAf%~P$^`FCtbkr($NdOl>L) z4Fo4l95To|8{W!HeNn5!N@F&uzjj9Z{JdMI6e9;k^2s+zm}erzMcg0!i3{%=^J4G2 zvgC9Mjuypn?8K_dC=!uzw>>*^rE0tBau9Zf=98jpX|B)HlP=8{mV6_rG-T8!@kKwu zKUX>z7IJPQlE`LV?@erqfTWC?1<)64jMwLD4KC8QAH}LX$F9}H7T}N>)7-ySbDpLq z;&H5l*j1Nz2haCIlse~Mj!0qxZ^E^{hz=CBTg3(6Z-uw}apaGdurS?fTJU)-%HA7O zdalIEB9RdtTgiQym$gn0>X;4P&LYu;8r+FS9s6`iW}SzHbYni;WzODBmA3gger!>9u*!h37+a5RZ7uEEeS`Cp#f4CB z6=ZS@`uK|L3nv{-|Ml7K;}%Vm;ad|8{+@*wl)~Kki$|29SNhSjz|VKwn^(GybrU~h@o;V;JWoMQ z!TV>)?z!slVZ(R<4PSa#0Q!INhFa#ns!_QR{Jm{Mqm*}rJtx6Xc!8l%8oHBH71rdC zbp>~&!HM~)Az%%z2SyooIlO15eYu2d>Nb3p^Hq8|WhALw)l*5B*GYdwx!nOC&mt7O zNQtx2e&u`|-u1i2vCDETsWaxnXW}5lHEOZ}0Vt_&^WBC8 zhiUk9#x6Zx_xkh!1!AuHcNmk(1DhhwG3=o{q|3AGGizkLCq%Etk53rqE=kvG-MHaE z=(n2n%)h?r&#s9%I+{hcVJ_^pYGVNQ*OSjUtJKArTCT?W0}w%l^eF#nSEeeBl#AV)3gMdu+n-heCyuWMW>3~XW#gp);aib zk&NZm(4&_8CYCwLb5&$|q^x99ccz8hOP#NH0N=mz`Nb+x8Qt(S4*J24%#i0w10S0P zZf%PL&Og2-bGEv(*O2yNH0dztL!N^r(eaWf+xqtKq*0q^XiRjiZwATkG@E@%mic`I7UL7(N*B_ZO zX!-72fw;{4wTOec&-EVrJ2pMlE{hjQOut`$xn}5A7N-Uf(3~N>Tr%TqdDvw4k>Ag? zCMTpG>LR?^vrcyFq@lSh$+ag8ZHB~vq`!bTikq6)b%+?x>n;f^98-2B^85Hrnz^&` z{&6O??IF8~qhPd`G@OshJp3^&y?1eG7j(srMIT9__8K*jTSzI~#owpO2Vn|Lb+!CD z2#cPpUYS&1lly!lP4j#zZ^c*tipB_=o+H2G(&tUM6?9`gsbq%YKmsIrb`R>D=T4+0 zC7reiw6cv#B@QYy>4pB!;d(`{)cZ8~fJ6?ghyB2Vf*%m9d2Fllv!mMpXP&>ND!t>{ zcRp3%y8dwsvs=bjBfK}kaWstRs>PyZI9F?o!Mp`SF;~;5Lv}oC!h|a(ef$;Fp2X%& zaEJaK8L=`k2$Afe(SVyWou!&banrIR%lOj5>4|>N`_SDWkk_2Ml%6Hn(@O|70IXzs z2cCS15@|j8cwi;J({$?IK2FgH<=P2HI3J4vuMnu3)hI~r%b>_1Jkp)oIvNO7PwP!l4))(u9 zI>k%I8UY#@q57?-9|!6b-N5$}-~0uM`(a%rzJx#b%I&OUvn9g#e_YmO&VHFh%=12w zq8KG2sD@V2$5tVNU$f>sw{@+1i0_ESiL~n5sV=NG=Uk7KQg&18JJhZlRW`|fHV56r z`PzA5*BN!X5=|2?kW_IRDlNOX_gJB0_v7|&Yepbd$NmkhGn>;yl+_#0S3T7hsdFu& zG!rc|fWQw9>aj6p-l){*AdZol;~eg{zoM=))MWi?wY`#S@q7)DlzpAZi0kuGEJW2v z3nTHp`bA-(rO-&y?t>=FS54MWp*|$zlf)n@Lv_m7Eh90WGGZEXX(1P| z13<&Qf`F7_Ofvul%f#;r-M%52K(Qm?>{$K{Aj70>BLcoA%NAshZ56LQE_57gXnNH1 z_+X^uk;sodEy_gBxdMd>QwPOHMP5SsjVK~(8e|Ix3>*doN4<{4~aD#*FE!575#w~mw zHIJ}K*P%tgQuQz0h$nR7q~B6m68x8-f!p@E=aeWF+XU9^G68%VO9SF44mioJdF}A@vqm@p5c9kH=2VGhnwpe`z$F?bngS8EWaHYs<4h@RENS*~1D>ciXDEb{-}UY5#j68)4ab|m z&~cNmE6>_RsN`l#xP>dx$*_s5)vlJPuq&&P=07~){75`Ab^ZL2W#O#rO@rtDE*Zz6 z&|J|nCDKM6rulxQ>4ZP2TACIsa}`&;xk2Ye7lo3;@`YlS*CP`FU+634R4>C_I6>v~ zl5_&c!jOG*KgOC4H9C4=qYKC#3~veMLZ#`UOObOhhD>>&P|V~>q__{nyhaI7r}5K* zw{kKx7h@g-Ak;;EsC_8P-s{pMu`$L*XGCEA-XW&>3xCfhOV$`5fv6jamJvT?hdn)o zq=cS6Xu9-qYo-A|OvJ`B_xTP8i3qKK*9=3I5E?r4vHs%{EQR4`!$>fGd+WL>CG3OM zK%DG{eKqji5w+mV(+|dHw8i6jq2DsG!pSZmH1W(y!(&I`79Y?pFs}aDjBd(Sq69R# zQ3n&G#-cO`|Nq~mUIH+}fBu2_zZalh?1xU8h1=+p{N8>4bqM||W5{9CRhX=z5-$~WMm>WBy3a#9~%kMOy6#MUAY^MLKprk-mtIERg zq>9n6l^wunR2xTEqW9^LGDGPawt7z~@Rh)3q zCrwzAQW7Zgb8~YCrifm>d zp=$&rvIAs$`}=2hZ$L+heNzN`3l7KzZ3A#(t&z-edEHJ62!Hx)L#mZqRMe?sXfL!4 zoa|em_zNFN(?H0=kFm)`*QZ(aRb?;Vn)iA3}}th#BrO;=ij zq%U-KeUQu_0`}%&JR?vF5TDQ;9%l&k2qQ;6;^H#hs&cXA=KH`(7L&8oHh8tz(j$TG9&dxKsw7{!P?&dLO^HY1s>lXxE+o}#ai<%utKz( zNS|%Qu6C|BH_q!eNJ$hRd2eR#HH~r{&^){e65rn&f(?!G{}9a~QYFZYCp29D&q;N) zG@p4r<9`vN2c@mMZSj)NrS_n)sUIo-qTbKy{DpLgRMQ)5ZUb_-fiP=8RC{SoXt5{^ z;K;~M*MS=p--aTLQPe0DUE&>M0Q2v|nt&>lMRrDpV;Cw=^y-;W7{V4XR@Z%>Qat*I zf00@edKe@C(%Uq$OeB6(xPA-P-u9>W3Fzu_hXiKGA4@*GW=3dzwvNW(Z5Wh^E2%>- zcQFgo94h$w@9}Av_}AKR9y%e~j)Q(zx(A;xvm7o!a@p*0O7~7%+++gS)m|`NF*PTr z*}{+`Th)ShXYIEHR5#r9&XNXp6PxF0UYgXP!!egAEPr@XLy84>`~I_5=cQ$J!ZzR7uW~>43Ab$+WMUO}pshp%^Vi<-OEr z1{4@smE>E~kMo{{?tt`>L^Q-9HDHkY)x1Fm)A;z^j>$OfS3w?J$I zwWPc6ZYFiC31t46Z~0met(CsOc(j}N^vp@${{ntQReW)xNE#|X#%MHvaly~r@=@n| z<60ZTE@~osb3fB_)O^(>C;FU8l(;qIRahr?ei&NP$NcB5sO?)**NS*m4rBsW?>D}C zyX*r>DcIo9OhZv76pbvmAt7Htl2BWcEFv37SPJrl1yDe* zp3j{zChdN%n(&;Te`oC%bb2Lp;FEW~GUNO3nWG_92vRKr6{9OkMK=wR|JKg4~Ql>AhjDeVo{! z$d)U;RzI)vIox(jX)pfI@xJ=(^+R_HXpZEu9#6H)%`>j9Vrio_w7W^r;(m_?2UNYm zb4164Lam}7us5T(`x`DLyuvePHK&%>Orii4a)2Ptj;zE4Vms(6FGUR(WkB0R9m7!_ zt`K-4^V64~&;q*jloCH=K=SJS@LlVXJD^0rh;-$}mnzQWIyr!xSKe|$uO^KZpTm@Y zfp*`2@if$HKDEnLJ43Csa@T5f2q1*ncqBA#L?was)G@GOMM=A{dpGC^#BBWPDb6=6 zzit1E@@ZxrV97d$hK!s200A$6HkK=W%$!p>yt^tNFQjfa?>5cd5gQ8lamfIF9ZYH! z%P@m&&Nn6B+mMpywIwy#afttb;SpEGyVUD1Ioyz<(csJHu+tXWxBB;0VQ9)_B0gSP z?B&SL`M%2`@R^hPvEcfw0kk|CKbFP3GAvx6yM5Q*r)fHjv5V7cTlV0UB;jwS~xcA1@TeCnH~pf%nVo20A1RD9lBW} zjO$!;&8bM%-rSe@a{r#AAy^;=sA0_OO4>V2W`-%VSOO}X74DZ9Z-sy2$YyL-` zY4<_z$CXTuLpjF^d&BELA91qPju<0W^JYZuzyI2Bt$qG-(lf`=bov8WO*ee=eQ@7;5L=AMx9O@HHIK#AF9+xT zvvu3aQn+0C-K2fZ)-~U#Y^Qy*eRHQVOZx7>$gT4#irb~JVo6h?3Ioql>)I z#@rI$w+Q7}k2VoO!G3u4No**!zs*`9_=%yu$Gq>yP%EEy1aRP0EtMs zPsLgZd!NhfjRQl?aX!JGf7Ay0>qdHUUiMx<5Eu`v1iN=s)dR^nF-#%B3xaqGvPkudjopclXk#s%%lmuLqdBr*E&6Z(DK?j^8mru9P? zj2S90LmV}NjW7Y-2Pv#2AGV0GqLkvScfuL`<`%3(jHBrvl;mO~KNzVWEu7WX zVC+r*z`^M+oMDwQFrCsAFa4(%9+}-bEphI~?g||Q7mA|IKqRq5)nM{G8-0!#5s0M3 z$3q0{fTXZg+<7NFSA+~R^}SeyRak{$^V6BIekkaf9X)r=ao+OU-tNvKnEXdx#^8Uq z#cg}J=$gCc33>t+uQz`IKvOk+j3p=k2DKn$bRHvjIb`U)96m=e{ab3(I?+du^`||s z-|*0s{8Vd^b&ITs-C%tU>(81T_5%Xe?TIOEn+pR1v#Y!{Km1=gzB^b3-c!Wls%P=5 z&e*Bz%G?%I5c`plKTpy9oVDHzbtftO#n0NqTK!n>2%VaiR?%#T$ za4#})j>7!3_Y>?4?|;&h*`$ec;g(bKS=qxo*Ze(I#t(>0d4J}B#sdlL&7xGhOazFt zD|0ZB^|Hs!Lz}0YzE1-Wjh(#Z=pWVu+a?nnC$!a6+9_L9a2r(=46Kq(NJ4DJ^L4IG zR@3n>CBmulX>gm)>NYB;Tz7tlbvNZNA<2M|yt-X{v}gHblp&%G-GW4|*i^89U#q0P=6Gb5)>s8->ZJ|1 zKoPGR=m`T#oVgJ{O7VXXC8~1t!xm53q!nXanv%&9m>-^P&DzbHlBKOat6EhcpvZ|& zMrax-#QS>zWg`wr4Dft6Iq+#7IKLE>c^kkl+#> zp?Dwh1oXgpo^vUzmLST}p-bxmgqSOE04(OD|AU5GbQ zOBlw|#*a0k1g!uRyLG;pf`X<6D04m?fs7+hBrXA8;+dYkz5A05g8w*B8631QXJ_e( zKXw`d{T$)-?CtHby-_AwepPl+_Ro+;r;KWSke+$%;{bi0PX2uXeOHGd62}%;MMm=dKd*sYL% zchmNdcU1sgtIMXG_kR7vB(GsU?vc~$ZoPctR+}P+ISSR6@97*;c*0=O)6-)^m0uLs zly<$c^&0=%KU!HD^fzL!i6>|o^HD!et7*xn9Lis1;G%wF5XM8q*nY;kLl8H8yQ7(Z zhFasRI{ot|#nt`q{Oc3ZSR8i{#TVj~2FlHUMTq9B102sC&>)%RbRimRExsbXzU&Q# zW=*xv*989a^ehQ%l>-Nb{%py0?U7Yorfn`&Tnxut$|%YYm~M3~ca?wtB+n`yVkH5! zdI{|MpnsDo$Nvr}zv06&BfbGHKDRZOX=HjXqDRDiK@YjI5m7Tjj5yfD@>0Mm^h;vr zyaLpNiKXT`Hc+MsBerff%sd=pxGr_Wn6B_*a8!iKq7JiQfEaCW+R4N&yimDV=iKjZ zt8|Mj{^-$_s5!GuC^}a-XOe}pzfEhd1oF~*9h|2H-P4xKQc^=mCkHy*Np*!?03ui_ zR6N^h2i2i0stIsH_P}fiS%gH7XI%YK4Pa=k5P+jHbF1~B;*sWgLsR;)h<}llU(K1s zzRwX)j`t{-;d)lSfdad;2(N`>X4@bD92Q_i3SgSe*GAw|Ex@3sGH7yONw&#&7>g6R zJuHe?Msdt)-MY&_|0_YPf0P6h(h4NN5jKCp;wckIq3hTwQ0yj48+rXeD2jI(4l?l~ z`0REpt|wiU=wf7=mgOi?hvMfJcox>?4js8XeCfMhWX+!u#-5Xq;NO9l&d#gKf;a<(Y!-Sn;fr)DivZH3-`%aaQ0rXA8foqD$o~_-%6O^A&;Z|jMKKn?+br?-nK9P9 z2zC^ccc1$q_1}RfBzn*SH~O~e@PEg++{Ab$b(X`9A~tq*Tx$y$HsV6>dmel3u@U>k z$B;A&y4sy0Xz=@=dWq@Z05A_E1%>Sg1rdKEGUA5@$*YSo>E8FO$J*&h2s8Eky1g3( zY;54~R>IiSNQKNl9gY)o%R;~)U~%M<;+P;Akhl1U^VQVX9F*=$t(AdT|79X*^ZWsY5;{HN6)L40C{Zys7E)U z9_*W|mLNsXoe$#~Q1RUolohh7^T$&_YqTH63M>E|RstD>DMS^+t0w2aJlGshH z-K{0xdeX<1?Sma?jqgExbkLFiBqrPtBD#yg@3>CG=6n0#;L!y%G;ePVyq)`pBUdWM zV`sb4hY-*k-)Ba)kg9yI9}td-4^TGlhbVPu?GJDz7Xb#i^?Z{Av-rf{v)=p& z0NU#6gv@2mWOOa-qih>||6d8pJe40#KYN6@S!igNur|HA&9%rchxXq`)A|OXAoOg5 zA33>2m_kvA_#yGYSc5~dHrMk7OO8x>VhkbsQR0aa@x98IZ+P*>LwHRunoQq-sNIq; zcJ&X+Adte^$R40>dV}M&5I>BJf%epxk`mi>ltd+Zf4AO`Y0tdx8F}nd@_QD5rZ*ws zHh^~;86Ay;)1nw_Io2D-kp&<%6L*lv89?z0K%C{!xc3&+ zOC9I?@^6HWQD9sp)|g2#i3Nm{;l}466PC!GlX?>DR{-kqs;om@7@eJ+58i)hvQT{? z$e!zj#9)>jfW1wiE`T8%TJH{qX%kippmFGEA#v=7awBBA;evN&c&86yn6R~tL>M-S zTOqLnFnq@z_(UZjh-fG;9{>{^ns_R{5`*AhE53e?MMILg+tnL-+m|>r*S(JmScagE zpUOXnh%oy5SNCfNzQ99D?f345xJTahP`X+|%KH!TaUu>lgYlO@?dbXe${8z^B>M?n}eNHZ?1Bk{k{wI)ALLUv2ICC z9I+vqq424esS?mFd8_e+OUU*f1glNA-Vh}gYl%YjLNh^OA13ju*t*D1)@UPB;KUNZ z8X)h-HRWXrrZrh)IaT4=Gia2nP@T#P@vi`gb*LKb$_9xtl(|g*sl{Nz z@j#*&%2^w$xKP<&FdM1~NKGniHRe6oQxPBY)onKD@y`;Fyl1ulB{%*RM}~f-y5>f~rnnC!J2qbZQi z?PQn+FTb$60eZYh4bkIi=IC935?-KL1E>;F(Od^6e|o_igE2_MQAG^EyQx^8>39z# zo)|axplz;q;Wu*d2-x1-1N#))E826$0S!sq8-tB^&?_<9-amw1AWeIf3bV*WIH$K? z2`AFc*S7!voi5I6JrC7bC8paF98jTm2XcFxws~~!f6!Kk(_o%5)Pvt0e2Drsy&c8? z2j|I1_cL73vxW2NVsSxx#~fBQ%xk1mnRoFv>b@;@0``7yshqld!dAw^_saNrVPWB_ z@iOEkB1a@3$yr(BAxaeedop@$NbpczVc%wZ)Z|1sUEaSK%gs0*@ z70}!rF>N%*iJhy4+APoN3vr@d(fZe522<7U=~#N@l}*fHhqoT+MmLD0*?y=hw}5H@gLmQM&};ApC~qNIOJL$tcYA z{<4J9V6GFmmG{X&w?Q4J+W-L?5432iUSw5Urp5%_Cw3K>dZ;;i?vD|jhi!IZ zymU-oxmSit8UY<;lF#!BLL3ZH0VT5qaydP~r$#^)@%AvL zoqp$+SM97Q-(kLa9p;j!yT210thz;Zq;ENX$E8$KPEllXIaz>`Ib6S&C7I);#b;g0 zeLC7?yRx_rTgN|l9FD=+^Gn12$yR;!`aE(?wE*U$VSM^-Zl&Z?PmW)Bhp?kPime&C@RL@EjJ7<9=#?y+kn%IP28 z!ZbcJXgaaxoIZpRV`iOL&pKdmHN%sI`}m=Z4qV(d-R&iP^3yH;p3j7rdcaYG8npH( zK8%z&k6X3Nb;up&W0xqSq`-3$(p5)YKTajOUY?6wX9Wnw@=npvq)p%~$ln(;!}!&# zYycT#9iP~I4t%&mW)=Rc>%3BZ z?G@IDU2Uq;ORPD)3{jQL1vKuPjm+(dMw}GHt6?Ex=mTdYY8!XzYfR)l$S1sc-~io5 zu`-Q3pTo_?@a#*Roc<>&&{mO&KbD2QV0}_BodL^Xz3^Dw4&$&XZ?Ly)?&gqo1)YhZ zGp254>=u}yoLI@c@U9*rc_>EYsz+XjuRSuR$H&|D@II_PBU*cSeokJB{=}v~fLXoM zh|@mSIxk4rlfEoKSCRRGEJe`in7&#G^`|DI-IY&h&&d(q57}w;>t!ic%qW{nxlARA zk+}q`HkTAYHPvF{>MM6C^aT2x#KXjs#}v-Ef%8;=VQ4J*bMNKDV>jzea5iivB%E@d zuL!Q9M8v+w>*W_tB8(yx&>&=RJ>7J=d=7UKs5wvlz29}_D+G`94vMOV>6gd%j|TFeePifHDv1Le(u{P&v3QWhd-v64_Kw-;^8dyb@Bv>xAt@u-MLw?O#0d30vISfo#NU z_+&GAlt;__8hAo?^d=jQ5)81)?fZlhlHciN$t9{Ox5b`UEb)VTa!RdSArXe5P@cZ|>ZWLl60*u%7O-Gu3;}Htzcb7wJ z`KPrp!O(ZUrPsvBIPF^{wv@w1>a_*^@fDh^vLaAgN<;$YB$@4VJbXVxor*<>aE=a4 ztq_$QY zalMSjzEvnu1aT5R>UttFEdlaq+v0>C1SdA9osSX8u=+$yB#TG)dO9Z>G&&A%g%*T2 z{AxH~nBXivC3V!GtQDP|zqt((M4!->*Z=14DM0sN97tZx!PFhd@A#!OYW&aN(PvYC zilgevPNF@u@4NrsH}v7J{|DkDCh>jnIvyQ3xE8^J2{L@1hj;q-&AuZ3>r_AGZQdE> ze0ljaZEj}kGMrL2XM&M<^-)nUeSBUA7sIJUIC7HgfurLciXTn~XQ3_q_95E28a4;6 z*z5F!lYBCo?c!GCBP^D|f+ViLxhBm7ch>G6CY_rI^W%Hm5sbQ4eNCndBlpYkLz4W2 z>S|&I*fD=k_(eYRdqKAer?%nmhGKgp;-;ERJ{RC0@e$#1es?*|+iLXq+Wb$EyXT)p zrx%2k306c``>0cWO{eyQ!Z+Nv>e?(^o>R-x|#7mX~-VdQ}P z1d*B}8``P%f;=&F95S&jvD!E3v=SB&wF*dvH*X-wzy|wdZ0U84 zD&YtW#+A)U=E0+3+WFsHAi{X2u0%CN06V4VLsjIe8;r98%N6?9a@};=e-!gnw<@F9 z+TXKQ3Dt1}(9fT){M(2p(9{$C#|rOkDCiD+j4nR3kBqK4u9T${$T5#gR0fWt-?m;R z?5UrG1HwV5-5R`)%CB$-?XyX4^6*$fojH2n@+U&=*iZ1^-8%?>V6YS6pec1j*i@^y zQC6wri@-WwosIYSfx~})nF}8_e;QChby0M(a<7ZoUF_)z@#SN%xzHc2*5h_$e&pZ2 zl1aA>`08-~DVWHm$$K@VYe`QiJYT^A|J^cf#FxnTjg#P?ZS5y-i?guIrfuo$IhH#2 z*Mq;xJmz0VA?r0G$();CtT^($M)fGh&-4m(Bt2ctW@98&R)(`es*L7_Brg;8vCKo7 z>`>~=+%m_W6PvyT$|B?&3ucqb`Q1zSuxgXh?*X0(;8O`VXW6W;`M96_0YB$Fbuq!K zPnJa}mplL6=B`GsM@hKEtkNRaPFmLAj-;Ivc*~Hka@(V}5yTK>uIi7bQ~h({pS=0< zQ@UkqNiB~dBlYP#!LZm|w~Y7qycO`(-_x6veI##WojD9lncD^OeJfIM5@-aj1F(0I zYAW*3iQD(oE&D>cg%s?!{;<|d@Xw()$Rep?A-qS|OkQ&OuujJ4IN0QZr0OGJz*(5l zsnF3l%=>3M->F_gx%gX^NKAQw`_-|UrXUtl0`v0eJ)?cA$ecHZcQlZX)NsboWz6JV zS(SnfNh6LpmiobgjB!>|kr9@3&A~herzqy=Z}nWV7G^kef(v~G>jZz}s#38S-A_vF z&#D@h9Jpexq{8?jY81D8GPpCE^Ah42WfCX_@731?I(A!X2ds+0FM!--q)D5Ur*vqO z5VCM3A#kKvY(Zw*s=fxcf&V^KDl6fGZvod}ru)fePIkjifqd^efRG1IpioSo{DG`K z=_+lHJUKA9x@L9*{ZCv(PbG6|UlV7D0xZ$LkA?RnKsnX(Ffx{|)DH_0iY^0L|Jx>Y z9K0a7W?$@0JUMtWOyP`9;mX$48@j8%eRF-9%5?;Ol92EF9t{20I~6JUhHD#LAW5z9 zJRq3UzJp5JQhE7#7gZRFL#)$TMds(`$Rx?Z7+_^%Z_r)Wys^(hShBw6o3~O9vN&)l z`kXj+uzw+thwBu?%o#Hv^$b}nWL=|Dz%7$)Bf}&nR4FWI`?dwjAV zcw4d@ReqxgE(KOo8A?ciSHxWn!`D&kVn94MMkbWaPvNhz9@NoF)o`Y1wtciO_iX#t zPw>-}H0_#}qX5s?0>D!SJ+RHFi;92x)p}V9PYrAgd-Zku4%W>UkGsRFOVO*K=*?LLlX_tIgbT9K8Po{OEEP* z-s{Gx+3YT~&72fd7i(xsb*zpPW7<1t>}A?eue^IbmaZQGurSK39Oi?!L#d6kz7pDZ ztHNJ`99|aU1_Z=wWBmL*d&s$rgwnN1UsuwQ?YDz4v#*Y@Z^Z8Msh!`c(lVC_4RkE| zS}(ywsc?%{zobwqzYBp*rNMr#2^d-vl+YP=qa_i75RVSC}lI zP=W3>(+&1!psU!Yc4N^c`^?2x>GvW}{S5%bU|*z+9VUO!R5UM%`)Yy%uZ!PWhe(Kr z1P`C>ta)w}i4H=mK`c~$JCVR&9Mp`w0fKWMc52l3^sFTCRzX1T7(R;Vt(X@dZ-1(x z4(V%xOXDdgstsrPTWvwB*Pm;(QQH`NHinLC`9M7#?@!ini`Jm(@s0Gt65*5U%< zgM?-0$1B-q{XuHa_AtJ;1Occ3#5e$7wUB%c_5TONdt+vx)C?AKVc`6#2~N8|>y|U) zUq2DbRb+BI`@ZMs=s0#hcADaU1)+H#f|}vom>|AEEy$NGP2}B%aSY*1F#Ev0{Sv8u zg4AcV!(o6}qkXsy)w&h2Hca~f%!FBIHtBc~U{i_jEENbP$vQ1gG?T|r%xasCd?CpT!%6*(tUtvM zvcH5u7fT-Rpqy!!nHp6DEmeaRPU8#Eoa9L7o#s+##XtAn2cXLzM~G(lWFx%|nVLDx zA!;|P#WqzTZ=Q&ik0$;Jo2wsQ_$zI&FHdiL%eq+k8SV%XdP)4T-+KlIgi_E7qYT76 zk74joy|&deAR6?5(AZq)5u|fr2pfJ8b+{}ZHy8)nhg+;q6K0=ZC`*58T&V|wzuPHE z@CeO^qbHJkb92Z+8j*{K?!rQTo`e7eM~z}EytdgWy*M`9hK&9FV@c7Y$hO&_)g6pmuxj8-yxBTD@G zA7UA+V$qjzE{;emg0)w*C0=q!NMU)b&NsVJzRL~sNj0rr0%G{wBrbKq`Whlh|FQz% z7n{Ff_x~jHd3iunn~uQ?QNuI6&NqRpPS5=Y6c0y0507UEASru5(d~PZZa@nLwUm_S zin)O-W~P8vII4g6;|ie~_sXE21P?fFShc4&0RJkfTGW}DnGk72nh!wdne(8lF-5PN zzk!9cTS5BtdOxhtv*&5^fE(YA(P=xx$C;~dMrS=kcSK2%( zyxLa9+sL$yx$b}_MiU-Kl$gv$J}Die3uFmk$pKshiwW_w#Q!J>Np4(jd@#E)iN@m& z7bb_c09g7+SXeKmObo&%X4dsv_bEX>!9~Ua9@?Wk26b7CNQ3DLPMfVF#^>5p?Lrr1 zhbxmzy5_Z52LP$;^%AI&gP|z|d4a~r(Q9Wni~vnWvjp-^e}Qs^< zFNJ!zPPFLr<@;XE)qeQgO1(V5S}?p1c&+LSWX$c#TK)nztg9$7_7E&`Df;l|9Y&c$ zVnycl;A=2o0u<$PK*Mu@kK@%Wlklrx(PN)9rB^Q>Gn{~;W+`Z$RPIRw-2F0Qa-Sch z>1%yOIicUFrYN{_OKWcA(LdHJNgL#?A1(nFT*Uw%unNnzt3j40O>z`kbvV+`CV#!T;7LJ_ zVLBB<$Hrc25`BAMop}?K8gf|@uzE?)9?8>cBeX{50(K2}UbxM2=z~E`FBOgaPT+wo zguGwmk;pJ&SF^HJ#|2nVV=F8!CI`T~3ou+}zn5 zL*rDJc2UL0(3se0k(uYsFH`uX7R1-Ho*X8Txyk;BZg-~-JXgjZANf96eRwX?)s;;4 z7`lUoEQgzyKcJi*OEH7kCQJL~0fFwPX%Ci+0?7+7HHnM1APP*$Oczq1`Cmf3=Co!%x9ggGS z@t$Pb>E*tUX3(^$ai;TUY0_ne4 zAnGXwB9lFumazacC<|a&S`fqddszXB#3=MsvvmeIa#@HyBEB=Cp-!jFR{0cU%vSm13pvHRY^w5xP)alB3CJMFb;DQ1Ch>S7 zn$!QQm}H$0G0+>2B?c52lC(y@QJ_nhr@wR#;?^r*S^9|>iKx7aG_uZ{^sE`(D}$pe zd|stbUZt-m?q+UjuQSnms0*gpRpl|ln{~b1p(y&q@WW!*bL{Hy>e7^_ilC`Ru%4Ny zop$hh+R)3;Q~BD2$lvq-h00`0fIm@^_c+)Fv5Ey~nH7S`6Xp?DyZ5HE^E&FrKqI(I z5b?yK+Zcw?y91}J?A8lpd8FBX=m6clNj^!&_&x7ftWY;%1iqVQ^xZ4XGz!`cJj2m3 z(8WMUYVT9}4o^gmP3kSak?&8sy5&wa>9&PdzJ0Vrdmh#t;!XGC?V6ciUduf+U|Vba z+=KMKK)&1#4ynVOMY;?SNeh`ha*=O;q$@o+WO<3NPawZ+&|a9H`KhF(6~Eb^sF zKU_CgjUx!x6?9i&=W@?l_qxa=z&!)CqAH5w&^`Uk8#OFf-&t^h-zDUr(7NVk!CSiv zEXpb=513zN++}v`*fFHoSz3kQ^UBVfU)XC~vGwmH z`QC1}IQ5|b;@;vbm5~#bS7eh+aBV?J+YAIWF^PPN+wQD5KytF2RRXbSdQ+7oa(#FqAG)1{@sI4K4x587G&b|I+CN7_XS!7s^_*G`nx> zI$CO*89;WV*-+*$gfxAGqHkI-rY}8(=ZXuUykeJSmfw<4xt_;)3_D#J0=m2%NE?

    M2$-I|*oz$L`K z(8SF2pC+Fw6N{nK7i>$SSm%k+JQw}PnEh^Q+&0vGl!$}EZLNN(IHAp zPJ4k*H}-oDQ+C08bHWg0iVrLw-{Tv?>QGs zM`lpqwG1TtLtGh;`(MgeF1EDizBC~`Uno;EdE2W2nr8A1W)q^|eD_Gz<)3<|aY-ie zMQg6)>56^9lFx6&#F&tS7x^6i)|7wt+L?1S&35`=NJE0e5;vh0t{(_r_Atg~iQ~07 zrPxejO)DM7b$>n2ND*Lp5peU9(XXRzP%5*VkHMm4*%;d7y6b)li?|7eO zC`A;-ozZ_3#l#WLCcja{{zHuT9kA9m6l#Etl6`@S&^nXplj1aU!O*IY87c{N6N%6M zmKPP(DsF`Wrr8UNu#cFXH^d=x^Ul>E{dL_vQvd{Qq#xl#md~x$t1NvF@_aM%koRDm5Oybjb z%HQprP9G_D6g25@?4PsTF}-JP4)no2$4!yJ{up>X4dZU6eD)ZT#4GKzy_OzAHf65z z>}Xq-^tm6*rI<=JWS6J=T0LGT^A@}66WeF~p`BO&{_4?lsb z0M0ph9~Z-8y%hJt`7vhlsacEJbH{J_&@^{lNZ}`bxMo1zY{+jM3WXLX<*OGqTINBm z&KTyL1z(E;<@%es&weVolo@_tKnK-v)`f3%`FSOQCGg@H;_** zr*o20&xYmJj;&9bf^jN6&eJU&GGp=LJpJgZC5nispY{U|`I>?et1M z&D-kP;C1r#xiOmNFAtjR<_;I>gBkUsLJh%2bB?A&CKG(#=88-PZEa%P|5rnoPZ|9xW3Ci+L6J%K{tZffla3R%A#8qh?(YTv2=}c+tWw<9385xiy>>PVa$AG!;^J-Tebx~Pf2W_uB zS9e2>^5>KFHFursYc4)na$vjUK&a)(NR;A!S>XC}Y;@1+N2Z?~~Fr#4dm zQ=8=}d)Jk>X64_h08+Or$4z}ef6=wnPS2XPHc-#}Co%cuCIGoT5hAlf9SSy)=|;!o zYrq2sguOPRcINlpxgs-cE~@%_e^HEi$kP`zmN4}qK3B|H|leByVLvK*{S0)l&D zButEDJ0NOs{c*9t`SYdoXg{zN7GQHYIvW_?5pinrIasGgMn-eU7Yr1LeI%ce>DV@6 zF(Iex8Cb{?+q_%g#Y^rwKg<8SNLvHp(e0iz#(|>%4Nv-e!cd9u`E(E9?+zj)1tN`r zcp*SOBVyA{aB^ndO-j%j=GBjVpE9+&XJ9OMBm1{SC^tuf%{}XWhV;FOcyeBxb-l?a z4&i~Gq$le-nzp@?);c)T-dsTjx@LsY=Q(()sHhpPy(f;_n?12Tb~ZeSD`tMT)pzA% zS|fhZ#|T=vZq~|ebSS@cx2IRIX$!SCb`1WET;F&i0yxrgeL$S54 zuBkwGda%6DZy@Dq_jVGUfyGtqz^=)@mi9R`4EWtrRFLXE5n<=kw3xwg{*|i&0rtUmXNif^dF`De;TJPaUcwt*$jr3w1-A`yN2tgM7&^_Tj$tJcRj zrPi%u=TwTEc8U?rwLnq}PhAt)2ZMQ)kYbRBKjhoUY0=VMtv}{<4R)V`TCAzEYxtS< z@N|dDHpu$&rQa_4@0+BMhDGM8CC}LW_;}--?H&42NBZNZoeP1KS12s6oDcYc4G7dB zwR7}x&pT}{_XZbm54CaWRoPVoa8e11e84q-d^~s&0-`2^0L(uBMQuYKgNs-Kg7#JA zN3S&^uqe8={^ca3-*9ht2l7c~z8l}+6C#c}R|iwuuHpe^HKcqa| zf`32kLk7M~$5^gri+cy%KOylK(0^t>>SyBOY&|$qO1`}?cTp+obR$Ro)6Wu?urKmI zX$@=bs&)36XY)g(F928Ir(yt%QzZgd`+-&C{fpf8D+fDq2&mAA>2MI|aKpnFbstX1 zc=cbzz77;QN8SGk5|*^xYT)R+sEWNJip3gcni{)3FoKq}Uo6I2 zrCb3uqBINGGl}vdD4TSajpD6~1Q9VjgGY29)FPXy?sY>Z z@%D>p<%M1mHC&+o2=g((<~b2w*(jl3^*v%--zo0Vf`=^8ZuWq!+anpHSz^e;r_bFk zG=BNQK(Oa;5hjX)jtT;MUIec5=no={&J>_RPJ(tIqtC~HSQh-|ol5jrg+ zqv##zgQCO>(n16%R>k}=f$xE<16*AIy7)K8MVEGSVOasDQ&;e`^2+g-@z}z0!#r}9 zA@&TB#4=O#NnOFq-0-^<#01J94ioXL<^O*oLc7s}vwf`@n~X5R+z;SsEtvwB3=TQe zg6q0l!Ju-2fTi&WcM~F2|B$ERea@H8clHLrH)gpah>BMly}}&G3$$6`nki5X10)+M zPm6VQhYrqo!wO7|E8DGt8UU^MeD(X^ge&;;x0mtv!be0ZOnC}S(Y)>(zPVc$>E3|e z?I;4O0>1C!m~4@K(2|?vRtt()0)^{Gw4U=~DWPMQiPCVg-A<1g??-5gnEN{MIra8x6cwPBv1Qm)FUh{nBJDKqh$U@U% z7L#3bx3L9<*G8T&Lx%1EsHVZ~|HRhMc`#9Y5HM`RIQ(UZq655fs&YZcO4QUyrPa!k zhW-c(G#w&9%Xr1`*YS#`72hl$6g%$lNFq{_Ednwhuv#=USS}#8a&3>^ph)a+^aJcWc zY`p@k)iYBdMQk1E2gy2^oYSVs`a~NO~xkxyVl^UQT*n7|~ zPd=`lmt}3+_AdaDU^GjQmL6q0sM>BSIE;crg*=?O01y1ony~jlPu=jw&!1c1ic%%X zS)jOW6)yuW(r8c23HYM&X}?YHZ)hI9wLB7G9Lf^TFrAOWVoJw?;xUR}F?&%2&)sOj z-fg+_Qu)vhE@2^R*9+_e_LcrpELbQg6rmGrV>;V@VA-D}9ANR`A;8%7-%o=c(ta=) z#9q%Bk;M$IJ_o}zc3zk-MMW0@{-BC5N1teyK#&r8HkiT0)bpIAP0OEaq-iyZ^@E%C5ypc$0+EN%W8?rRlNv(HsM_Gc&cXud zf13wARa;<@vVdo5Sq7yy2Pn76`%%u&lI-fQY*L>pa@~bOs9~s__p(y_gl+iH&OI_! z;G;)bt~857=>?<2i1i`(_s}WQqWbLi!iE=0&3DEn-gp(zHV6(7O4`&4p5B;1 z!eAM~^khPl`b!O&367(;HGs>R26NBNfW}luuq>Yoylx-_BlAQORlui?(LowiHgz&E zu&a3CVy_m#@U+Ch>;XI$nA@zZ&O-j3D12CUdGNA zIv5-u+7=OAR0;52zk;_CpqO49@dAA0c(WcIsWuOT{%DXZIcP+yc*FfGDp{xTXoAH~ z!gWw9O1(Q2PI3qS?8;4I)>~#|7kL97Q+@TmbFr253n?m>j-Hxb@f{zJGA8gcJzE_a z@=LDjom<2Sch(WGIqPEh&KV}FX3+q5hRcfHzk5m<;&9iq+>VtyQJn0f_2T$W3G#(4M(meQ z^gi{IyR@)KH?jq1a{OUv=V&WzF2Q>6T-?{awe+l}iW+xZwtsB78#aT5k>eE#`~%V4 z+=V;QjUG8B^+Qw;2><9qr_;l&y|0vh&zkmPOS%E~`QYa%fy=~z`zhmV8n+y)54a$v zaL(uqst8pi>cGPq9fa^uc--fnrWBm~)V2&q$lBG_vo(4xM(r z{qs~3Wa#CRzZ)flcAP{p@e;q|b&a>Yw~xD@E@MRpV}yKukcRm7LQ2zZcj=fFuf`l5 zTn>YlxGShuIS3i-ueZ1gIW!8Wa5FQdG@g4vAi8Yi`1HmZIkV9+s8dGu6m=KWX#o`) zs<*jnc)~`{z*CznceOrmZ4p#Qx}P}9p6q~0VfBAbO8(W8Z;clja+i3|{amga^euLn zs~;QaAFWQTH{SsVH>UY)ra2ZkVR{RU4|u(s0mgYiJWhx+KSB9Ou<> zWaxx6qcgKX>CGgp9#Obid`C!MJNFy9si1Nus63fT@h{6CHLh=;nTrS~45%%P=*9YD zmg-P)s+n-pluA*Lv?c3pZJWvxGk{`?9XrtwIdP%r%3K===TpLDNiDTGYk!z*9ySVMSxicvJ_&U=6 z>4EC;RfSWzF`&SyE*G7p-v~-;Z2bH5Z_2;p6uLi57g8CI-`giWhDy(;ii};u|M7Xm zaV@zGlN{R=zB6P_Xe$Hj-rGLB2^GRh-p-jvi`b)Tgtj%>U^f_XWvN@EK~uVe3HM~x5+xG*kT$m%JY z>;U{=Pb72@KcX%q$UV%2OPD5e?-T?(7$u*QR%6~pfoQ#nX8jOgs8VfK#zPRQ94Ck& zug#-==PrmUnF$pQC2sM35TPexJD$d3pbm})Sw@Yv9G}eTlSMR<@{fh0s_K-yS(K=d zJEu>DPQE-qAO8t;JZin}1|AH;7mr*D4@4YHEorI4(cSZ!JQ+&E9^K!dgKx+dD;u*t zyvmM7ph6{Z(?e*oSBcm$2ScjSFqNUZ#5Wa*U zqm`>W4|MkY z{f_uaPpTM-o;Xu&mXhMQwIPix1_!zqRR%C8kK7!%sff!^@#22K!^KMtj0**_%@Q~A zwg-{K8aE=3NoTwa&+Vl8uPRyW#Ib!M-k7FZ*UEf$H!e#p=np2G?JZkgttzp^Ch(P+ zUMk-s$9MK+-@qNvVWx$1!2#y$OTX%+rKMHvZbd7lQlic4{wE2N${53fFhnC1RDytc95WYp+7t@2z z>NePl*ps>LCd~oC?R^+~V(as}Ua#C^kp)qqlsR7w9j(zn|KODirSYMji)y6c;q{TU zGQc*?PeG1vb?5%L(5xI#mB=6;!JO+C`f#vXCt-g}89Rixa4lmyWm=uL)x!?w3uWi9 z*0n@`^$%F)4tA(r)$^9mU*G!Ue}D0~e$iEmd^f7>{krl1>u1vguU)T`Eqr&fTlW0J z#jOaY1E$K?v!V=ratVa{2O%wc%S2sATaE3vrle_l^IB`bVgnvLiok^hE zn&aY9A2GOR(oNm2rbE?3<9m0Rn6TyxQP=h>9dWnMhHqQe-v%xc@cajc*)-~0yAkxb zEJv}?&s%{9jZulv@)FvXDz;ByGq%KmWBal8!+b#nZ-$^4G+h2LdM zDa&<62ZVmXEW2A9m$6+!EZy5F)(o>8{Cii@UQMd}>y8P#%jC@*xl*Ly^{jq?G7b5? zQjajJG7--xAheHst&9sC68p~>a9MoZHTyc2tUD6FW;sM8=~YTl_pp7OR9B2~&_U9+ zX^ICuOgKk+633ZyvulfwdrY@yQnY4$rl#0Y4EVc4J6qJz?`>k_Qo7=GejInus5!fIt6g44SnFmKhdl9P zjVmrltT02#0aU}9f0^XfQ3^e-h-Ax7{o=Xn6jc&VHDxHEe0TU_F>hk4()!?mRO8FB z$!_$Vxn>xQ*qY{owk2aZbTem2) zG{N97uX4Ci$}QQ?lWU4sG^p6|#$fYOO#^3ze*L}6Dhk1tX8BKb4>IBN-%X#ZGD&|x zSlP{P4~^a{sS)Rff0hVSM2TWuZ+%M@A2aea&)R&O5N0xV#E>A^wyacEx2t zabyG{cGG0cvfb2;%5LB!g^?ULGZtqMZzRF#P>YG13bPe#wKpBsehULQ(tV%d5(N8V|CRux>*?m|Pd%EsHW;!)TbWIX zpXxW&t4Ut;>hF|fjxSZBgN}zL1{k%NssC6m?^euOi=g3CcU~;xHTE2H8?dnkp6AIS zm(S$XHzPPqNbwu$%!R$S$4|H zM(a7Sqf$Jp`tQd!ay{B${Wog1SYqugIBuV~n7!q%GxZQy^g0?b(phYkwn^Y2@be4Qr2hk6X&(?o_YKh~&z zMGtn6^cQ7*5&DL)&!dB1yV3t|nBr5ZodiHfpMl{HD#)3QYM&ChAj&FeP8yn=AkJo- z^zkyYTzi z>sTtB{G!rJ`{)Ep8Oh_oM?J@EmH;;MlZ-g}Ra3bAWXwPK?m2a@6;pLK_5KmaK@8x? z>ibhH>4;Z={Bi0Ja| z0KEGXG%Any2EbD$KHhH^B(XC_y*bkOfQOjW?*P^0?XnM=+k}lS5%5rpOLPoZJJY1j z&(9(pU#Hd9btRupqg~unQiQQLr|8MY9^fs0;vPwh4z@dILxpxY7mrV>EypCWeD=-i zH>5otyFLXJPF{OoE-{DN1{5yjmZ-2|l- z8Zz?QhNJUh7zf*g4keQbPXXZ<-|c?nZA6KGNh?2)c?V^W(hHOKkSoYE8|fmyI0#~S zuNvI=j$-C5i5p!iwVrhyOo~XFGoF4tIBlpVy!UQ$eV3#RCc~NQ#TAp z1J}rNQuzfLtdH%l#q}BLq!l`CWsw51!6S>VwxZ|4@bWWs&EvuhtDfD(hxI8Jm-}!xBr)UR{NcM zgt2`9j+Ti>B?I@*_9L)_bG%E1b?c&3W|Da|{E`ceo&_~JcX96>z_MaP?AoT?)t|&c zcT6oxE`gC7gl#e8Yqr!Au3VyRZZw-P*^yk=(#XO@Uox4M@V-v}#6{tcn4QQpa4*yo z`2$PX-R8;YyVyiY_ODf*1={TNiTPDi->P{Vj~(E~j#g+2+t)^s(@eOPiyC4Sk`IUp zKd>fJ<|z_IoyF_F902MzriB+w%mPzT4f2B(OLM0vTWez@4K#>o|2@A^FX`S?8zxkg zN>w{DPt&5oVj4PF+>T|z9V6yqCyY@w?rJ=Dq(RsOi}P2Cch@5GOT4~M57NWVnG&zi z*<0@VFYruXy2`-lb1+X>}T+Av%OgPJg$j_?bpYE#NpLVcAtybN{ z9Z-DyE%mT541gD#5<*mi;J-aba!d31dITG@B9l-lZpPG-x;Lik-fD&_{ru|h|JYC( zpt?1M;+-zAG@-)C&6M6AuidQcnW9vWHD-!b<5BzRqBO9jDf_J3+_9g!{~AT1Dmch| z*ME|?YfqEnRll>~wj`(rN$^xMwuE2QZ@oX|V|*Tt`lYI_MUU)52m5Gn0tTy8oNR=hc@zF$t!??_eeUm;?Yd^`Q0*F7 zj^V$|QPS(GyI*kh9M1ebKhB~i9bYS8=x2WPQqDV;kXk2;7x~8rne=o&I(4@2nYux) zJQk{AYDORGvs=Kal&%!%|2K}|ZCGfW11cxz1YZtsdk4d4(cZ%XxRO=xn^UBf@gz+< zL$Nn2|FT+6!C>MuP`S@u2W~E$#iD+??~HsDn2h3J`TcmnW~lm^(j^&5VqMKOo?S)+nN(womhJB-7Xg? zch%$5?br^=oQdbLUAI4LL?m&49k|ip>Ui`+pCYtlZz-8A7Fod|7;AA)$r@*y*zcFu zP2m*#k^ZwYqCW8E*~p}obts2Rz*|MYr}<;~q3ZjJnuvhpvv(3>jSuI!Ab&NU-HbX3KR7DwT z#k6+bq4=o~AG z9mr8hh4Ku=##GPcY-2~wt%&jI`R&1nQxQ*+6Kc4U&*2xOFKQJz;g%rz@s$B8$6dRL zl`60cV^Sd@Eb@hVa{y-2hIz@>H2&NxUbpYAxrKw~s<5Xf_No{*ad;QM_C~`kCuPFx zL_AnIrhCb|Qy%|R2&?pJ^ln0ZBiIBngx!?=!E|`u(QHu;!}|Gkn^J|908^j-So9pH zKn#q2U!}ZEzlu-TFe^lrQYYZvGwh@lz8kNo7xC&A*?%=yp}uGv=Jg!y4cTO)iTuf1 z^vNTK324U(N$O7Zs+U`GBXjPZ(U0fjo8~b91(QyYDXfkII=(ytF>+ zI|33!0SC|$rc>L7A)Hv6K)EzoA6lDAV=s+6as251#$$k!q^$_+5{!VW|M`1=Kt3V} zkumlxbhYPM6Wh;%rA4GSDyOSd8t)>x6}AWnh#Q7)S-x(N|8XP4(!w?9plYbH$OAUN zTVk!4OtGexEqylsRi)+kS#*21#iDpC zW}cO{tYJU=K}AXZn?!AjI7jk4X}rQxQhV$t&sb)cy(z<$T_u^$%@^;3n}3&Ocx1eA zpV}EXZEUOYxi<=8zYU!?EhM$CpA6p`W(YX4vQI$>e`e1IsDj>3vt=e+m_{7HP3Xv~ zV>=vFqteJ`2~qlrK*YC@P~v$xrRjuz4q&9nJFa-cq@@Slf&B*IB_wU9L1!bijZF-F zuK;-B&L~%=x5e;z{Uku_cm)4I9y|A})&%OYIk@;Sb7)3V&}%xispJrXz&4Z#JX z3<)UIYbkZ6uDviPpC^O~DRtiiNG-dWc{-+^|ePhWo)Tat|~h^?(*iZg8VS6B#9CjZfjA4^EVDv1H%V2YWXN zW120&ouhlp+_EpYxVcyQO#YUWlb6(Q@Sb)`K=^B*gWA1^_|&(Gf95aLn73CLy4W?S z9YHll#Q}2l_3K#wt0VvbGm4u_3l)zg!v}oAQ#=7Xm-J#IgYLVFYhp^a>5b6Az;bSu z(uSogu90NRW;v3iVX-I!BD>x3_`d77^_L$EZs}3tnXcwUsB^l!{12Q_yRE-vbtG4vP;^g`;mdR=lW!qg4!J)eGB`UId1y)Swg-_O($a|(;sAZJiDZ)AFx39b3@^1lw1^YcpZ*js=Y{#-^9X_ zA8l}stm-96RZT*LdQ_AsITT2a9|nX9$j+pdJb}6Vs+9#ILGs97O_ZfWT_J?%U57<_ zK2u>}`3q~@3j0(l9KEVk!2S*7jK3~C=1XJK%Gj3TcGYZvv_qGM+|SjWnG1kb_gBT z1|z6u#FCAvLIUd)P^+4k?zh4+;ONMt+tNbY-=HN9kBMal2cF#)5_*ghm*nm7H|jcb z2HvI2Vv7B^K9Zqhk|&Pqnv_fzOz&`LnVa=SuMc1VfVnhiSoF`06W64v-kC8(!6#cz zB|4WkF(Mo_N%1zNF8!O00MIDoa?OMtvyAezagAXElUgz|G6}b> z36f|!U8ACcg2FQ0+g-X9Fnsha&iq2l?jjLh$OGjBx6-_eLi z>*PxcsENI^``D0E%Swh%o(k&v3*2e0hOvh;ZMi>o@BPUDWG+NyVq>fzM*x$ga^`(7 zQ$Jl{9r4m_SianGMhx+l)R+~x81R@m1BhuI5M8Dl)HuWzj}4xZTiH~sYmnkkF0u<| zbZre_CZjbMXP_kuLMmn7rQW2Sz2c3Ira?ZXn2e}G?_XUt`9=w8(VQ5QCM@$agL;U> zysD-0;_h?eup2`0@nckg+yweX5JG8~;_kxB!tU>;Cr&_YbI9cpoo8BZ(@kt0jy`Za&f6(u+VujD-SUH31^1E0N4y(?Y zDsPnaMS4+5qxh+7c!$byuW0IoP?D-wZoj*N89i-LfB9SXhX}UwM~x3x}xZ5iz0Oot;17d#ccRbIW2y>1)Xr zU`)iv*9Ty8U&OC-0b*rtZerdr&fJ+*`bcAH_lB`X^JROn=ad&AagAVyTNOi+N%#T1fFOYaedKFyBNVsWd9}a&lIG+`=W;Ns{BEwzx6q+NU2IgSNH2SyxEDQw~3XK{LYaeh!^liApIj3uULGYL;&gQj6#UGii zlbY3dJquOkIIg^(LwM63>2Rz)1>R@yBVDZqNj^u@9NeZoI<4v1c=5KoK_&?}G2>&R z`x|@@-8}+mLu5}YWTm%GL0}z<1*Ch88yUXx7em1n&2Zn{fXaR=rw+&YM==~?*aEJm zz@{6rSm_e!VW?07Q{o{k{mCiEz=4u>LMi@_)!tSwxJsauI_d4-lqC0NFyV97I3glK(K?NwLH-bCkH0ZZ+H(5Qk5S zc{TgNPRL%}{e9`s`|FSt@pxeZ%UXim;+b?Z3m{+lF<=_80s7A}cVF;>{X544Z<^Ra z#EvHPK8_phcuh1USuNOJ(?4ptw7x@xzZI_aw>eT?t3o=?z=CxxvG zd1@YvR3{WAzwfr#oPlce33xlt-iU8!%Xm&eifwWV`AC^- zIP`xwY>tIMoNsn91Q6MaPtl-@M$BwY?s9`_PL8zXCI2PK8hYZ$0b5k=#|MQ$2tzNv z@_uLGyy~U=V1#iK^c3NV7QlTWRmpfV&3N?28)T!>Qo;H)Hg8*<#`~+PJH9*KTSO3D z3zWDpn_n@j@pZ-8ADPvyu(9Z)Ss-itFP5{G3<_D3;`5u@xguLcMPgJ&%-dhV=jEav z90lA~DbZWsrhfu?M^o_gl1v8y3U#;BG>8u3&lFHO9f{7w_(ebZf?&jpE9kCih5~-2 zMWyQ>lP2{dTM#$0l)N$DT45zQ3tNa=kw1vz&jJCUgp~e9IAEXDPBfsxDxb2{O%Emgw)7v~RNE=!t81p9ROSmSdg- zAJIE8EIz|6(RAz93DW^p4rfMtRm6dp)%v<|$VJF&pBrmqr5C9m)+i|h3@C|pwX2{% z>a)?TbmSMO<1N=H$Ry(vR27Kx)wto?!#;lzF>9_aesc6b}N;l^W?zSals2XQ^_0FXC%)OJu z&`S-X>RM&~tdTFHKB^?;NEbZq?5*z44nkad#L<+E2+v-8b|oMm=mmCgv~B*8NBGtC zH6q6E^vI_{9J49Wd%ve`OORf6{~kS-fwV*s7}L343v#^NVccUzob97ZkcH-xxHWsL zskBz_*`Vl7=&f)%y-yA7q=FD!!sV;4b-4DLJiY#&FL`?#OjOc~1N)O+!VWdD`J>ms zTZRVVQp)s+j^>oIop#>EsrxLP!%~H(r7eH7eJhoA9 z--^fw#OXb3f!(mg-NXQ4`tDUnXuLZo&h%|3v_wpFQ1I)%&+2NK{XbM_jQqVm!_mP& zLd_3Ri5D(IA#d!u%_M*V;)$8n{V-U)JMQyl5zZpovpjntT3IkI)uc_ZBX+?%fFGkLNCcL+j0Gtl>`aVDvgFQ@pEv%};WXdAM6l`AUIyHUMTCOb zhm4V(Ivpd|qIR;xD>Ocii~NQhET6oW@7(Q`arqLMQIMUSgEVJcvxVC1MY~KkJmnx> z9%Wy>|0=q#7W)R(1Y z6UyZ|2`jG43b<)MbfJ0Cv z-1}25jb{oTm{J!or%_VUEwxZRzwb+Beec)Z;k8GKAyaecuH@} zafbr}kx&O3XsQZ=qCoP##b`2O>3Oc!sHJNfe zJ7cD?+ChAp(?$O1(b1^In}hLL%fAF}%itV!jSd^SR$dZb*iF&Lf?yRC1P;LWvCqUp zxZeX(lA1lI{%ISmC?nm#I?k_||3izw<k^yM_!ePuMNO6?440)mAi+LPte9ooLCDvbHD@Vyi#c;`oR@bPu!D^JYh3z|nEH4PIRYoV=kf%QSno z0WfCR)>XQevzF~{mF}@be_XwlnIJ)h%m?+@OnpTadnQrt?v^=FPiL>xoa?1#d$1Y+ zE^ftUrdM>y?6xKq9-4PSH7rE-vXZ{h%3mo{MY(ku_pPSFjj0v+%PyN)ls2>a_bIu( zdk|4pRvt=SKm}6GqvSg_97ciw>g=`ty$oqdf}@8ozV>OSb+X4l4+8(r`X0wvdj)(R z=}WT;)hLi>IeDG2ZQsaVJzG0J<1AgWFk zh}RknI9n5(yP<#Sn?P29c*;&i2m@@O^(g~dWY`A z(F@`n#>J^Lv0BXcjm13RR?;DC_f^3eZ3;rbH({b0qP0B|-u5)UET{SM(xO1oTeZw> zMjd;C;6bw~dKIEdiRV(-Tz&NK^KY3;1CBZ#s<U}))zw)Dw@UK>%k>X>vv5dW( zi{9%KMjKztcoa3dX#-x(nK?8(i;f?zWqkywK-z^5ASOJ95aGG@Wi0~LKdvM+?TcGJzB__={ z#1$y8C3Yf4cJw%I*Y=mFw0GP1WCk&j-E4TEB@%={2q`@kss%Ns&6`_ZQ3F^I{DG z-kA0!_G(rT_JOA4g%W?ZzqxjqZaPiA4O6Szyk3lH*=6o>(UQ@>Ms@cJy$6mnEhf71 z%4|%EDX0TYJKzZ<5I13g`KTX_KEXwy$5Ze$67w*JoyO~4d%Bs=rVO#DAtuRN*XzI-k?ekYx zhoj?#B!UqJm$s5gEHjhT`6r+nGY<7b-46Fi98s(GD7wx?X{@ZCGgIGW%y=f6`j4E~ z`$=KKk7mo?eihxX1zjOXeN~E-LDS5PtqYo4|~4WR1MW`FU@z zyRSkWqACYGsU*hB7^(^u+!)YIL823IPdYHYT63CiJ+j&m>U;hWOMUIJplT?}0K5?O zplCVbnRHfd@_P@lyIpBU)CmL6G}_-dM!qOkesOixRt81-AG2$uaout0u1`WF-=Y^N)!ZBBSioE zndp=69?eNs0fg^TD#w|X2mBrE!My$e2Df3*LE> z3@tXu4$6Ai;ppuFSMtjV(s`Nc36PvPU!*E<*`43?f>&j7j#}2a}|F|`0}~i z^C_^#*rQgJ));%dk+uA|Z->w=P<;uHw!x%-`ad{t)Qr1YGPE>nHL86dtMW6q>X_#V z7||ZidxFF>B3CAX%KX4Z__pF(r$^y6JYwaJN4eT;?1+VKpbb9xgr7zvUu|_-ADY!;{!>k^Hc)!Zc4evAR|?GgbF~&2`&|Y zZ1qq%PA4m*Y<_E)499zS75V*eQp#<$pbIB-QY@JPC%FYxl~XR$W6VaY-M;}+xk@kV zFM=tpXJytH%>Fw!%C%IUv$U#7lMsQ~*HNCYW;QGe^F{G)f&tv`fp$V$@QP13+HD}< ztR)CRFa%{;kSfYV%(G?_$Y993Vq##~Hk9+3NJg+_Xem(ba(tExdVD0+yIrUf%&iEV zXX1*0AVf|^f9m-gm$l75`+U8|QS9K49yu*%itE-PXiFYx8=;1@>_dg}KhgbOJSw3T zdd&y9|8YjECxp8*2*DWOynE)4?MS2xJd6?mF+C)K^>Yi{6C`7RNgBY+`UpkaMMad} zn!A*OgIuqUd5QbR+&d6U+@ylWoeyN(J*%ei{4^u*GsW)-J3`O+U`m>B7_f(;ZN8y2&XO`e$ubNA_Epx~#fGa!e57 zbObthSyI^7o^$t-A$EO3!5kCUiW#=!>BL*`m_#0o?W*z#JML!pOPxJr3f}Gq?JEYi z)~c#MeS0u5&JyfJ*sc$`*Z=%FZhEE4R`2v`p25aUJ8JjFZW~~uKyKw29$p=sI-QD( zQ%IMH)Re#7rudy`Hd>*5wV6%XNVl?aFyJN zUWBbberP^_wkCtu{=^;q_0OtK-u~pzu;V;LTh64X%iv#(+Q{OMHa6!H#p|DBE7f@! zJ|Pvi9~!e16-OHFzDu&Bn5HMe_hT80vPG$`;B}_-L)%rY$nda87TG)+C&xfUU4Y`s zq^y18v3^oTNe(Wq2(~e7tVj5auhV`!KmOXVdTh+r(_PB3WWGpQT(o772wseN83Aa& z4^Lx$|MC-#?bj4$W9KwkbTPG0YO>Se;6)50LN*W-vl z;H#3CPraJTcXryQCGuQdPoj8>GP4AFN_SQvz8Z0gkST2t**T&zx9ED!!LC)dR{uyK zCYx6wzdlS|&TFq}`F-VNzAkCG*u>-4^iN$*+alX{?S_Tjf$c&Gnty-T?sV(>Gj$Jz zr$X261B2;^=}@%U=k6f1qR)bTop3KU78SPGKMYRg&Nzbt`BMZv(&f;-{}@T#I7yo> zTD4zKNF(nudY34%^lKeU>=n(xqVTPjqiWfq3Cu0oBXu!dt#N(Ciagupt8INPti(l!I_POSQ+l5}5%0Au;{?NFj64D0| zz9w_AHu*G2HKk5fW3#(RAtYIMt&hq;^sk)8y-9s31v5-~h}nI}9LHa|2)SU5a%Ri@ ztXtuLhFE^*Bg^}dUfN=`d$w6kEkxwK&QFd>Ni%C~JYYe#V8+cWX^6pHK#afuC32Lm zQ-qO&K<)vAx2DX1OD>g)xvBd>WKvWHJ1WK;v1#AJ z);)%0gvhh~tke#@BC(m7)}>oFReWqx+IJbIrcI)>)NjT32;R8ar8)nmd!Fl7e(%y# z$xhFx=*Fx7ay(F3nkm#Y_}b&p1=R`(cE-r{XPACZ5rC{U-pouL3Ktl8vBd;vx}vL`Q3P&D%+Go4&^7=Q+SwWIcMZn= z9?oVwC7@F%7J>TZyX$?G^Ok|3H-x=st#ou3WC|YO`Kyl$LKK|f*8F#%=1zBPP&v}G zR=$lM#s;&h+HM2>+-O-DtV)%~UnSdC+F-&?$E543dpY_3nf?(zuIn;Ouu3S-IN;dm zQPxjqfbfCj5Q@!?MHP3oI!g=9PdASi zdxUq-*yVN7XBKd&CM;nWk-S<|A0wMmIjnl)In-xlb-5{-MdJ!?nQ&#a%&SXR?Qf9n zEAlmr#}<^u_&WBRS+J%k{^fZiDD%sAhNWUxYK^P~DU9rtqjIWn%(896++%b&W1=$Y zT$+78lQL}uT~PvR=f|42tCb*|fA=)>+p)Uz@GAB`cw1_x3{LjvjycA_LO=o|)^+*} zeeEqUl7N`@8i{_?%)uBkMs{iN%mDQUP+P7jYcSMD_p?}0s)LTaUe=dN&(X0YgwTKZ zq*P9AAt6UVtTAau5dwN|^Fcv(PHcFj<%aySFetwO{(5XC{`CuhYP51!(P{1Np$9uG4+P_)#6LGGJ6S0#o zMO6lU6H8>k-48ppUuXJ1ofM>?)&e%JVquT8wK@vts}NIX5HVU@uHhBT=o6Gf&}M5@ z%(%OQt_4Y*`2cl2IlSVk1I$pBjKhmXW-!CccA~W4D1hw0{{PWa zyJq$PkEeJ0p*gVygI`9W8gDAegUT{h_~$lqPd0ZkbV^Rwf#~cJR6l?n)xB$$i8{*C zcW|QmJpMkMk!*`?YWI^G z!l^vseE{eR(BmQfdv1^gH${_Grj@AXYeQHa36{z$pU#o&xB#fy8MEZa0E@A8mpMo9 zp1Z^iVwq$aW9OgW(&5HY@lh;_q11c+mmggvG3+WM&2r%|UkM}tcL#uFT9`ImH{vu= zHI~pAbW#lueBS0hwH7I!z<@3aD1{PwM!(=z&g4k^ZKbiU=!6L-+6S##`k4G_xcQTh#ocjWsk9Gh~e)!diG zy^|JW;YK`Hf(Ryd%e=Sa$e){xdIEiU{GYx1vqfQTuFN^LNBWbmNBY3^3%lf+}dqL9*S++NrW6eMF_F zsE6LmHT{Phb;?yDeAv;8H9FH{oJto@qYEit)pXe$GgV$A&oZz-pUna3;>3=Q{XP!( zcw1^B87cT_e?%&Oa8SyAyF2~=Veh?znq1$mQMO$HQBhD4D}ss?rFRwS0*camuL0?V zYDYytIsrnFrXqwEkgkGs2)!f%N=fJlp+n%i9`^73-uImE-!o_C%$&^Z+1m}KJh|`t zxvsU=wN`z(|8IUrHIoLYajZb&;0~%xA zq-1-vVqd|iSLI!C-<+sA{x=*^Z(}W#?+IoY-prKgc`6nDjzQ(7bhMTZ^<>uTX`+lR z$${nhUE#$vQ==w=Ccs6;wVzW~E5lk|zI~D2GdCovoSq>6`IIMl!ZqQo->KZ6`klW$ zMp(#E%pMd3^3qv_o@S7AV5d&sOaN8qN@%cRD>Gm7o4LLh8D_qxLPM^pUEXOj;unKX6rWKA!Hv6kXr@FBb_w#lM5ydYg`mLVv>aQ&#N6)ym`Y;Ke*ZYiUxRuAN?ix5 z!LGhAeq0-f(p2sS>GB=;*?F;E6fnK-gH=Wf{bdsGZYP1RBhKw|`YUvfK$rWWSK0eX z_pjNqv`aYM*_uwgQzosiSC2a>Le^aKO=Do1f^4ql?F@b=H|2QSjPEgk!w$Yf zxo>@o(@Pd94nx|}H}&@ejP|{%!)oz!*4F=n#l#$!i`R4HjfPoAr64wjPKs$z@z-n& z+B?990ZXFb&ykn*Yho0CY1JZC;kdM34E~x;oO$74eMmulMF9unLYVYnEm*Y{IM-MV~!ztU+v_nKyO5KBgOQLhxWjN&C-CEj9V3 zjK08Pv?KZ3_;KeGMSM8qXuhg69eiDZ$h&K17ul=B{CPy>8SQb_3GaLA1k!^n|Dk)V z0QK`!KTM=>bk{3N^XL1kUXgHl>Los{@A*pTXDO2a$U2^2V!G3>ns-@x%Ji)B z=2F$JDpovFQf3}z`T|N<-s#O181OPRB0Q-vwsIjp6EYbuIT+dBMu+s+O};g zs+C2z|3@Ehtozl}!n2YF^Oir3kG^MkjbqflCN(V79l0(_d_9(X(Bju|i(pKg7P$v- z%rq{6vUe32ULTb8L-PYfDIpZ8U?i1oAnm2Is_~ntU zQ!*O^fz~oPyn~m!cGFn^&^`IGlK` zL*6I$i)kXGg##Q*Lw)~bnzJqFXe=?hh@w}o|UH&a1qUVK2Eh(=l zr*DUAVn)G6`f(;MU zh!&Q7sku0|-YSX3a7EevL(ChO1>#QFmM3fFx+q!8!}soS!O7dGl~4K`T5Au@;t9dddeMOqxdakk2eBcJmK7_gg@W%LCG1$#a)S?{58T@rn8~r4SPjp`xfaY9Q zN<8!14Emm2;xuo%>7WTOQmf>73FPCB6ZzHWiauoymsdZwitS~yna98-L5Z9$#jke> zB--yx4$)bpq+{lM3iyolm|9Ey@(2^F9#%%_k*_@c+YV3-B2foe`kq}`bXSN|v+(?w zYIlhl6kI<2LFTsEx}!G7g(ttK7<7or)4U3J1wz7Lgzs7F9rHlbDN3?T@YRTzx1-Zv z_s!@%%)Mk*j_V}@;>82_h4>M2|AoonvA1wSV1+VQKuRZ0Yqj((@vy_( z+bnz-1XRe&M3U=Uv(5w5XBqs26#b7_nuy~rw!4$m@orx3FjC)MKb~QZ3c?fZsPefU zu}o*)+Dm|bUcch8)3f`d3?nWy$DfSy8Z{w>8Z+%JV36!Z)2E_lnPDUnbb+;mxm!iz_$6_vXr6*i^IFD$P?35 z-@d{eqc{J-%N;+ldQ9sl8c6d@{Vx(57Nwz)&xUc)wkYAl>AOE0R>SOfP6!r;DEWlt zl{HfhHS>%6zeHdD6p5N2ekrDl4P^)3sUn@9ky=wvHtR=QB_>ueQZ3e%?@=&lXFu+w zm;THR_VmI~dt!FZ-?2OJuJ}yx}klD zHf@?XmAp{0N7f$J+QK* z#EUvi1*){iy5$Yb4`YQWg0hCBhn#=`G)vm^Dj&NVBiPJ5FNGaTd_B^cTeeUe;cKpK z;1myIxvwQOm?lera(NF-$+yeRQ*6fq9;IU_GtCV;sgCif;k}lH;AJC4&Q^PFG z=e8bKN3$DI;flws4^uzG$cO-*9px`4Ibha1NmUe7q;lMxD6u|7b+a1ODFN!4f$?|( zZ03>L5jRt-D{n^qiiP9X`2(@!JFRi1Mo;q~HqG({G$v%z z49=KGv6%wfJ&PMftG3*GrY2yZr*QlYs6OF~zXqH&wCgv*)G5oh@1r|k#iL$?-?p(P zm%IuG2(0Ww7dW)!kP+(W34&|G0=AhGmU!`t>TW%l>>8W-^8MLNASl0x#jv9~C$C8O zNao*;n`)Mnkd+cXw&&u@4<3FEEaY^`5tSru=hCWdd#)ypkdABNNK<-drzz#+;yxC7 zMn}VRu%|m^PY&h%-GV#(nZogJ@~E@Qa0Bk)=Yt!&-G{m(6Z6axyK@Kl3AW2gHws|l zYI|3$yv5CSWF`q82?h^U=qEB^F%|SI0GZA~)$YYx@_r<$6 zO)AtY=YGe;fn~9KLl}z3VLi{_pJ*jJ9xLQ6|F+?5#2(x+w5q(4^D?sMzEZlD!rIg0 zen5~<-9~lx8z{UC!6$eeWDnlezIFZS$y3vOisPdDE6koPgSFa#b})bwNebURomh!a z&*Yprh55{126m3fM8C~Vt$B-;kI}ql`VaTnhXllGzd6=_gGEuO@hn+W)r7(^&fEaU zLeK`A0Ci_v%HV(V>95c*!4BJkbT%XSeus1fN7!3indYEiuF4TRAPwl~2JD;eZ(7=MknSp1ZBs*(?}BzFJ9U@RG=n>gns^V*b2uf*NAs)i z{^@c#`bv+kkNiGwSB>TpnxtFIaGKKYpB_KT^NzusNwOc{efI_Qlr2_X5m7)aduAiKR~J&gM(iC7px9z*!K$f+;9}S?%7lehoI{ zhdHPG?5hRc59|aNP=U9?`ohtP zgW*NhC<7Wk{ZgTsTrYxkQlv%#1<7bvhQI`4NBH~AM-5biTk4*_bua6A&6 z^bs`PdtGHYr#kGUxy8r#^%)k&;#wlM~Y97$J`iGX6;E3mpH|!hCd;y8OcNzU6ToI@3Y?Maq zGaW~3)bBqwe(^yJB`g+La}T@u&zK?WkAY~~UiHNQum^pP+%oMq!+9>sN>w^ctA=dw zUYEFJIwU+(Y-@ceAx(n1IgOG8HH=){vk}EuR-&1$tLQbFf4A5kwom&sf@yA6MqWC1 z>Z0BSgI5(h!PAjR02a=V7U#$3VA;a=@H2Ty1y;Cy1I9G*A-g4bY<#%OeZ#!EyqqFT z-pZxwT^;0FeiZzd^2Z9OAoZVHHc^fzCosKi4XCk7?Uee!}HF0xlnq3BE+1pa{oz>sZv? z&6Y|>WJ?xy1^ou)>8=}R0?rD+tw)0JH2O>Gzr*{F&)i)aj8yH&I~alz=C&;R+TL?3 zM*<2ki!-3r*Yh8vdGnBqfcZXjmuqaV*-iIyj4spi-r9;5tLb#YrIEw3em$ufCP{UG z^3R~h?MwRR1VFwej9l4?-(Cr8F%FF1iRs@Ty2i3P_D!C-g=Zu8FJwzzj?fdeWT5V- zo4$kS%bKHRcIFP{%3wm!EpxELS=5b*D9k=200kNJeQ5xH%_-_dSP7x5j80lXkj8}dm9d}8gPQ#*bRVNPBLVBs)KQ-1~3!6#ftTRQ12=sS6JC@;kBICKsy9pNCZ(zWGWXsuC9qr4QnEwL(Q1epy6~DtrZTVM$17$$)a$Z}d7a{jXRxJMOBXjb8B+(smQ%jAcC<@J9hSW^XL0}1?HXHb{wHGzdr zjDT9%aN*eme)Jo=8)gB~_w!lE-AM}VJ#s;7vy`h7CE)pT(D z5hySq!%p!+GuVL~u)1ccPeqq}po-bV7K11mW-7~d)D9?cP;^8m4p+aaFE%y$9&|Ii zrjU>-EWn42o-HAGe`Iv*6}Y;tcL>1~zx@bA>-WAmR+_{4E>#y!Hz^&MH2orW0~n%2 zA)q5h+IZjIv;N4{DnV2p`yA>1IMFceG&H~Xvk8iKNIddmv>LI$96C5;mg zdHR_IUZQIiuYLmJrpI6ygga)Q%fJqu7%(|$d4OtmDjvwtS5Nt96>IlEsaXDSuX7TO z_41o{(G|eA2y~%ckJIHE{2jVZC#sxxgo$u~y1p-TW6H9+yxR7OX7iedCs@^~Z~vKN zKQceyLH-G%>9Yr^YLnTo_0L>^S}e_>S`utT)=r>2Fl*>O-J?eD#hUFIB%KPfAtw!v zk4LdFV56XMmE>IyumS^hI=WIcpPm~U|L8j=H@hErEQ9{^b_04}a%&k|yyP+R#H^$Y zEJmYP<)QtpzZk#lj58bo1q-O7ekF{)=>tG@0DMuJnitaPLtG%qYWO zI)&WO>?Nq{|LFh>8%dq*Cn77JVhwt=VqwnQ352O>&q?gt+&V&!e2_O7!lV4ofz1&L z!Nb$aaH&iIAmGTW=&F{a=(-|;b*ZyoL%G|)H1DImsdoK_Mq9++{5eFt>5*85n0*y3 z0e0~`=m_~#-C(j>UK(J9@%{YZq4t{HKMa&6u#%762!m7TA1bvd}wICb9oEonk} zM56!xIj>$(EK$OE5&brN?W=x52BAJ7Cg-6eGlKrPL`b@K4zcB;W;&n7W|;-cV+XErW}@~l%VA~M@-~nxnQ?? zP4{FVOz15zC;h^V$g&?zzXqrc#|#o$Ao*N`2npra;-my}UtF4ZF3e)q0cDtvXxJJ-WH&^*#StU>Pxf+!fz_SRl4T$H?f zZCIs$&oR)Af9O*zIo{7JsizG7h&4$aV*c4#92Xxh&pa&N0LPC;O~it01HP2xWtC;b zfUdEUC#omA!*t{}*_c=mm+(c=vP;p_y$6fNM+M*+`;2&#K7pyBP1GaR^J2z9#r5dD zsRO1bCtBqRg8{NPoIlYVzFQUw-OHA`7tK##$@j2MngBi7U-QgeUXB2SyUJ44Np8!l zCyGx^zS(D+*p<1IZkninJ|j~?+9HOiHn48wCLN(YaE#Ba+k>HD;_5@=87Cs;}A(Oj1309 zOX|}1U;@W60Y210f$Khn(xuI)7q&G9-C}Aq_vH0lkF&f=Zl2xwyj9RaeCKz`Nu6E|)C<7ed9Ud79(2vj zd0b&ibDeYA3D)FvC=8F)O?&~nipX#CZv;VJ8y?Xk+l`qM=z^Z*10T9~_%z*bPojykNCy}v2XDM{hBSy@|`T!JF7Z~zl1 zrJNM6jNXyzXQHHoh}oA%HW-%paYv59?Td);TlT6Om-X)o;|^Jz57^uwionSE)Ip2R z&k3DsxfqmWp-$T^Ue{O(mx~#+51CdRV5_3X`17Rtjx51a_l<3k$c>4^vUSV+pt`}a z>_eUy$lCQyGh=|0K^pPJ)Ck5z3g3b51F6YOKf;+2E}fI;=aejjZ4!%x%b3*X>g;zm z^+D(1>aAyKvO;GP6{gP}q&~a5erLcmmgct)*(h9yq)~Y}X1e`Sm4%b;iAIxlV=zaa znuu|itth&zC;@0lEOJ4BVfnX%F}^7UUk9Vt;LGD}lb zp=3JSBEcYA#}adbxjwc5s#(EEw{>*=mz7g}fSQhT?5c>9nEfhiw45K)u)Z{vo|&o8 zD!t)Q0%^S#W@Z-n^k9Qi2ou21-z#$QrNZlTseq2^O(JF-64dUbC)sGsCT)xzf`< zopt-7Gy)9};nLJ$S$!r>G@H`o>@7C3*xAwh3C4>^?a9ryZFw{d(rb;7LE92YK1kQO z-pHJ^dKW#NS2tQZl@kH!vc|6h1F^<^#Z|N!7l?;$s@iO-swd*@#}+%)W6sgW6&5zC zwl@~&tNzk!@W!wXQx1O1^J-jBDSFe{9Xg|^%-s2-+$6Y2Q>@Z7G1_Ta@*P+vx^Cir zfDUe8M+djpJm6%|oW_f{7{KB2UJ^IaQXmhozu%;^{%x;JwDeHL5zv2NZ~N^tNoT_< zkN*BjihUtgT~2J4+>wG{pxK$PSpgM^!R{}BUy3&tm>MM+J4*z@#}{bEi#Ka9#lcVw zXlB2he&0`ftr0 zRQGzeNvfj7mv0Qr86}^)`a}zL3Kacvns30sd_yio;jq%`(i^e{+NK_!??3Npano_IwafNT|f+TuV0%Kpc^CQR8~+qqL3sS3{ShdGtqX*_@6K zt&BzMJBInpRTPi0F2PK8QiVT7V(4m&fs4|}6tR~2FljxKwwij5_HlZss%p%9*Z3Da z4fFleizUdL z0gh?OT=bwE<5rxe9Mt;+GezQ$1T|>Fs=`u$n*4p&oPg5~J?_2_&`7qc{ZgHzUWnKT0)yPJsav~#M zPn-?<`@{#_^&x-RDFF+m6h(v znwxvFCqZhZ&qP(<-01Q5y{>~~B=MmFoQSFhI&MrAODuIg9DBj6HeP?@pX&@fyTWVk zRgL$)v-b4+nHP3NIZcmO#kSXcS$tkLOp|S=)AryUMO{UVfe4j52t+l;l_|SIx^T2$XMVdcoc ztI^DQ4T;{?-q_eaoI>~8yJPt_1<`4u=bi7{bm=a6^V*emRax6#%NAe`t3FM>oM>}d z@JM9G=_^Y1fWGuDnyy!5h^vO`tKHF8I8lDrnt|orDemcz&(VD) zTYtj`T3gQS?hKip!jUdJ{fhBjyz5-6GI3mQD#OZ%1ZiD)K&;J^ zxBlGU$Te`tO8*hjp0?eVjaM3Z@L{r?dr#)UU8JI#efs!aw}XnW%#X^H_nf`-cT#|C zcjEPHUjyY}%ES5D1PUF#w~opY?p89I$&qK8>aRe5%dlOyD){rztdm2U2<@c%NJih+ zs%O?e5lv+Q&kUyM06D0HZ&rm!SZNrTr*V*t2&WPDuFw`IV;K~{T#`UC< z@n7G?ac!NetLD@%`Kt1PWB1(_y9)xSy?z}B*LCWKjj4Gdk}Py4Yi*}3K6xHUf&1<; z`&PjNDl$DSj|Dty(hap?kkN8buRW5hb9etN#{|Q|BAe<`do$JpKNs9orQ*Pyb!n*A zd%8aS=i=1T9AT+q{Z9u`+36uJ*-AROz9wa0d3|mxzrx)M?+!lF6T;`!pru z2L`7J-kE+*8v50O2mRFV_&jtPTt7;eyMT?(lb)Kq<>V#m*Xi04Cqy00*s72XJj_G9 zK}mJGLtwr8!7o&Lef&nX?)9N0TXo0EKKXzG4}1OL98rq41T&>8-SrPy_)3uFR=}x( z_>(HTD^#cUTYOsB-&;={S=DJ`-`>iR+`OmF>7O$$I4SVgNzGHYVVk|(+jT3>l{Znb zQq(E?N_a)jM9j!kd!AsLxT&l)_pfxvO6#)Eo@;>~+-q}oA|sU2g}(wbhYi`sqm)Zk z5K|YnrN&coWRQa?b~XZ z;NA4JupHibEe~s}!SFEghgZ%vs_@pc zk16S@(yp2@JHw3pKua9%uJDL8*52=Jorun;7=%jTQC4^Aa$@#SQMb7?-0Z1?wM((c zZ{>Eti46b#wpl9PCb9C%b>@o%>gn3RoWEx)=@*)UU0&}e_JA00{s|mgCOH+KGxlE_xf@Gfr9SG< zYaq=$t;HI74|LqSm!PBrJcA%mdvd~TXk&0?6hrXMpskLa+x}|c{PV;xI&pfiLf?NP z#$O4s|0!AQP#Fs{-W)F6z`8VEU0#2FZu9q-+&OZ*Q;{+E@k1`1sv`X(ANQa0y>GM- z9@97AgA_)aYY-IU?30MRR&LjSKKQRv>9&X94Hj_0$!|(uuAn7COttc4TEy0t|5|&fKL^aB5@^2& z4I-8Ej8|ELsGB;-t0hbP=hYm*HmpF+v&r^bMj3^ZlhYyAbD@E&sceYmxVE)YCBxlp z{}MjnCPjvi5U@oZgYdA0Hd&?y!e%p}9Ngha~6g>W22FWL;VW9oL9?|?DDEY5H z(5ajRIP1S2xi6rL`L93x|3CVF`)cSs2qY4$)(YUxqQLL>Ls zpTKj{lYUDZ-VzlRgX(j*y7rL?XUf7e*794D1PQXGuWz|IVcvLa%=mPjAM`ik9={%{ ziCMO~uJ{>iW$Rrgc-0Dw2GDTZmp4}C=2od~P1e#>%)L5rMSWkjQC1ZpQZb?GGFw7X zKKZIMgfwgK2Imv0_g1L;`b4J6nY#S0aaRZbR>Y{t@)Pt&F*Mi31d61ButVSZHQ&K4 zLx^>!j?Op*lu7O!9>v{NPU=3y&Wr(d<4~>H%ovDVBy3nOy5oEdRS0=&((5aqF$6pH!oGHww)K*hZZ-eCFf=q)VCMa*(HkY@Yj%5Y;27XP)TzQYZ|jy zn(SU4vZSqT56;mNf4Oz4D$ok%p=G(ziKN_jKG1hJMlB6((}or(0b3N8iS(Gph{Qz> z-75bInxA2SQvl-YmbA5)N%|c4Fuz1J2qWv~;XaMltY5Q+zS$A8fCIh>ioZLi}p{nSGTHg)FE1fOOzoof{5>%GPS z6>y9w(9nBtn{54N+WJ=GoUk@Wf?lP|cBQj7HELsGtSv>Bx^)Wd>x@YqRENsYtqQx0 zfL3d1azPSp`hQ-0Cv=m(o;U?#CB2erSh@O>&tvr0;d9asiSzHQ&rtmZj2|xHaemqJ zG&uB{;FfWZz(z-x_A$G(ph%pO;2MH%rFPe5Cl^hgvCA4W)JH*t+M{bxsnSU$TW6hy zDhDK~7=k3Z#7@->Tq5yqyj|#T3&(gpk`K^f7ivW+or%g>No$y-FvQ`@A7y8!+&GqB zKBk@v%+K18;RFrqXdF12xeb`pY3LTWjf*$W9ZRexUsdsx9u|GgPdU<8&l44p;@5+MlAnMoje)4>^PRromclTA>GG}2(#no2NUd$ZukXGOE+#HJ?pzi+W-!lV+z_gp z&Pv?U{1$B^vsiUcuwXr^?O*s&VA zJs9yZUTf4o?V7*14xW2R8e%{km%qW%2&a}Q05{@?=3T7$a(upq@W2lKcz0#YD-)3HOz1zeNGy{?@} z5jl_Stu?3am0lW$EN7H&PUyfrf<0L+7cvI@T$jm7{RPHJNn5(!WPv2xje*|nFLpdB zSv*U5ZpC4<_dD3lz1jRwL-4)yv1jB6ELycbm3aL7$;>t`Yu;@oLYfKt=Z0|-&11sV zE)kz1k>{rEPyiW>^O_QD}>^yC}G3!}n?+M0Klak5Q zXk#W(y4cL@J6M*hOZRhT%c-sQ3<^EbsC9YVD_=cPq2kA#B%#ic@%aup{mygNoQ#LI zXNI;^mD9sPX8fi7&Xqqa_UN1yU;FT!pAW!gTE z^ZLnsQ)>BAsHEApfqi@v`QkR%RpVb4ZGDNeB{c!KTRm|@Q0G%1w^DeY$iB%%;1ITE z=UUNKz2#&f;e_n{66-6f`c64U6?$6NXcF_tDhj?OYHuGqmb1oqG2Q7j)ard6BCs7D zCr%QT<%iC9%G6D&7_WDH3Frj7xV)X6fVb_;5SvR4q7%Ahb9i3R!r=s7^DWWNlqZG= zd)58uloPGTspWGZd0paBfU)v~Cq~-cOH}{Br-YqK+1%^a>e#lk7`19vaEsgBj#8ce79+%_QrK=`BWLpwn zBH%!_FSTr9DH~BS4q$YKTsB8*qX|ANGc&V?XMbqG=18rhAnTH0Bod2=En6N>4Q;&B z`M78nHbXwPrT3ooqkC#7@aL38U( zsEj_%IZMPhwZ?XSQ?ITVTEh;78E^hHF691e&`lqhDZTVbn7^Gc_3~-X;mvB9&1zc- zrlntT+PjK|mDIg8M$ECrDJce2$_G4-FD|TGxa5>BAs-jCuYcXD z!*|gd?)3ic{+mdN5ki2t*eiBfFN=TKanJYzXE8CX8S^r$OY189PrQL$miN~T{MXrz zPWF5O&zaUG&swUj#vOiG%pU1-~#d$CL3=5xuRAdJ&`@BY0aLvuDO+55eh zHt=>}47}sD51UGDL!RoAmUUa`OG5vl4_hi9S>j7w?+v|6Qqmu(m=AU;JZG=Z$|H`C zvS2Cwp+>sX6V+s?s|aIFc{Nv>xfZs+vuu1GzRgLLOz zTJ+XpJzDD<1~kv^Qkm7~GLO9_?Xp^vi}X(6qr3?|gPnc1Kf1pUsU7bk45nvfwC;{R z2YC`Y&Q_JDB!_y%osIpdt4N8A(m#y~{gA!O-SdIe#|Kf$>8Vw#?0ie7=!wd50VNKO zs_Tfwbt2>g3hh#7yyI3Jx$l9u4`aq+< z64*hXOB=;yK;x6C;IFA|FY{P5!jdNnAfD;+fS%R#twcpJ;3~|I#uN;xwNw)_ta};~Ki(GXJtW-zLQJ2#9iqX;4hY&xP z*>ltUCS#y;2fvdZJ-I6KGvYNl6#j3t3M&2fh-)JC%tjvXacRBYh_MiHrt$00!Rj1! zi&6CJZtv>q`Z7n@)brDBXdbv+S31{B3Ya!O7w^8oTK;>lhgIyX%jY3&&xf|TA_XVL zUEH7%P-Dx_p|U{{acpBVBwd=VC2IC-V~1MCL+%K?kR_KCSkhyuQ$!<;?ajh`X2B`@ zPuarmxisH^42cSA9$K*&?6?UJoN(X03f73xJtVZ1E&2oZhfw@3mm6B)M(*93!BJ_% zV_!A(a_x?OZJV)=+aBcWDw)W6h~mnsCRHtEJM~{Q@C>%I|3nsH!J{S(vQXBoF6~uy zu6RqRF{r6U;{MStsPrm@iQy`w<_gA5Tz9~_ProI87WkO0C6DSZS5eEOLgnv9mATQYRg?yV73Xc;EVcOSvC)$+wt0O1YC9z>cESH?!;)SI-_? zP}Md$E9v#P=UrubXJ!rd+|eI#>+mHg?AI0nk5LJ~3ZeJ0VmQ7j`~LFhN)vB~Qf)mSmu;cj zu&rC)Z(K*^Ow33u)PvY5VF~B8QN?SbIPiVM-QbxfhEKMk`wM{TgTEQ z#3o+`FOLTRbk)7;?;3Q(FfVo{te31 z*k!!h+=8Bs_@!ALK}nRqIn9#K2jjceWbF85brb0TY~`%AS|l1nVi?(k1$R}fGyKHl z&z?@0TO0p9TMFUty<6c%L*1Xw5kv$WFW@D<8YX4Ueq9d?Slz!-vgNlvRkdYbrs2X_ zq3U`*HDE}PVS3;C-20sRP3+Jb`^K6EuO#c+A|LD&Bd6bP6%vcF=YV@Kdm5ESB5itV zK7Wi%CI8;pT3J{LPa?)&JQFud*qSCxUmyAMFdD|bS)7*ctIutNd9~MIUHjiZ`Axj>ODZv2yV8HEQ4^jZF&|)_&d04vo!+1Bl-NtJ zHW0R21uahW*k?5U%i)A16?JvO15d9as<++il$WnN2GHw4TQ2DV=i)qfO*Rg0Zv<@5 z6_RZ9iR6BNW&L!wh@q{Sp(269W!;}L6YWT%Ee1L%g~86Q5;|Dg%@}f3*6Fu^eEp|L zgn*R1k$+&aW9u;P&n;l&KkPKAQJVU;O)cb?BMKxj!=Z_+!riS%`?BFAi>-7@E?Yi} z9u2GQ<^B457h4nN$coDQG}QTQ3i#!!nL}xg2RIke zQ+y4iB2+;V0DDQr)%{CT&}e$<#qI6o^~(-eiwP*1UxRpW@tKYF3h#|>k@7!`%N=hi zGTUnlKwq``Zvr)G(|YPPG04dJT~`tXmifwRf0`op%67? zn~AmB9fI-u8_J5E2($DcHdiGP7e=vjzSbixZ?!8XH9cYyi`Y5_zLaJa^+RRCSyte5 zwLL(Ew`y}itSXa!Hxb*UowRb_Sc!NI^+s?AZ5z*t(k{_4XjRoeGi9JrF+RjY6EW}< zo=OVETp045v2!IGpd%@NHPr^VQykfzliTvY{5NKnhu%>nDPl#>-&6*+N#ZnyvTPhX`<3A28%7EaGhZ-BkC`DA zH&ty-RS^k7@9Ync3U;+Wk(Uj(T3-tm8N7l7m7{C~goK2$OxkzdrH@`C^4Rqufk5W1 z9-O^KKH25a6GcWTYrowh;%Is!)b)hDj8%oIiPGCI)5<&wzhTv>zXG-Vl^h*aQn)qn zexJ8W+OV;#MqYou$m~ANF?D@UdU3b$=cy{mvX1Ce;<;sKZ`n7o10iU$x>U8*yB$6@ z$v)>5IMDu)TX{+%d$wxZ-^VrsSF$gFo<`xMXIxvl83VC$d8yR1lX808kZ<9Oda%S; z@-uSjSK+M$Cy$Z%p-ro`bmR4OUE^Mn@;J{1BbSEDm{vf?q3^Uu2?+>xz0?#?P!ja~ zX)Dy0S~PjxE(_N91g{kPsnn;x+Q)}P*o9K*Ij82Hj<5Ms(3 zaJIf1QwAN>b|z{BV%~fEo>>l*x-ScLR!I=gKCs?p^DVQ?iq+h4SR;9RdAvN(F)i!+ z_9Skradxl^P86ryt$4lbEHhP2rToKF#@nU7qnFNMs9P-o3iv*MXl>DF2w+JW^^$1k zd|&^8J{}qx%WkdgkiNE;X$Wp(D6t9lsl$ zn(#^MhoW7---y$y2(Gas#@lfKS zC-hLM3lGk~X1wAiZ5GZ^F0a#L1c($#_fXvj9^Z55(WAN{Gx_lAxrGn(O)u+A;JY>M zVD~p8M&V#IGSS+hG7tX-SgK4KA-+33)=cpM`!0H>mh|kWkm~TH1HJch>^#@o$8{6=bn74BjCQGE-9n)w+^29Njzkj?9grNlUXx$NY)oZ z#(C@?$T2J%4OijK8|uZ`=29k$0hb&D7-?=-f)Jfa9((0js#>uz1kUmHmB6znmpwWg zU_zvDhHyw1YTr8(#JcAgq&FJo|GKlGgsc;ADL0yO#G11tM&1dG0`^{bZU`ubI@;#WGtrSp*C6Y9 zev5sXNMPkCUOVnHv*zE#Dj>u=|M%=s0&`VgT@WK|kr(bWhbw$$OB4XZ2GkbGn%W`FjT?zK zPc$kn5a1KfZGxy9#{T;V$)}>-yU&|RYVm!=V5xi7sEg}%hY!&bvFH36@ug)fa?vQ?;Fr2nZG3vSxtGr8Z6k zg59gn2nP+@AgQa$bG$7jIy5U=Tn1EO{T|rN1edo1|9li!U9=~bQlV7xsd!({daZX5jJhci-tI7r-vPmFYIaP@(b30!Llj zEH7^7S5sA0#ryt3`r-G*l}p(Rg_%+5JFp`6Ve{rjidWn-qe>2i!gM+eP~ zC8?7O%eh@X;J{Jdwx1cluv(JndFMz?)dYrJVzA z2mdFosCyG&M+piF0YiLffB=_W3jK6pa5s~riH!7o4fB6!bh;-c$Ost3kHd@o-)Z#T z=vZ-z8Uix2qnp_rzuty0D-H(PlD|Lb|My?V>_lv8MdvUsb_w+wTuP)g0IILcHhIc? zy4Q1VkO!%aE-M||q0J$TZ}LC1`NB&+UsGal6@W4I2BW3>%RI8n*IJy4z7OJn(5VMrAZ29v z%)e`R07p^HzJ$< z)_8(<`QY`v0PTlW6n-9zbIm}`;jQt|EeK=UnXPFG4LRf0q(5k8p9z&$;qplZMv>3fR^T(Cpk4UX8nKJeucZ13>)KYJx*;kgU5 zrt~4w03PC$|BVTyuAiDJsrbz0Tck})JUs;Mn2dIxuzFGi5 zUPYdddbMmaoBPG)Ag0-{w9%f!$aHQU>%ZcKuV{FV@jXc70`mTb6MbgGTuQFLymK3x zy=P)h)L#^7?Mhg4jfglnM3UUq6;ZNkb+KyINR|gAYsGkDnfYe3FKpgJk<+cAs z*_+2x)qefsjU;muWh#_H97M@jl!}sB=9A1$k_^X~%oQrhl(CX|j?7aCN61X3lzHr! z$KSe+?)&q3p4apJM!+41e(2K(s!(4m?-FgR$5_j;Vtz>lcl1O(zcD|aidbcDIWrH`C$CK0F zpx`X~zRgcRt~z8|@MH4&<~^32#z(JJeqn|Ue6`Vx_>EhpeL&#;P`ri&dO zUU5nF>Vi9H>X7cZ<8i?0BhMBKloJU~Op%!%A^R>U^=)ygXNs!mRAQJoGwuXA2%%m!O)6KYmWPLnbx|QYIGX55RH^oiRISu+ zVisvDxqR?MTxhCM4@80KuGc8}6I`8E#yg&R3HYGSR09q~@{T5C@?$9fQfn^$M0Wo~ z*#ETqsqSwnd%KpPhuLiu5#oVD#izg4-SNJ(v^15t0i>bU&`;#N42UnkWAxTPW5meF zn2|lzy3M8Ph_ub?cP-plhCG1P%IA0Q-jRC5!m{E~gp!uOP^3deP5sF>ZD?rdPiCMC z!8N6ZO#PVQ^DpE}P!aB~6m18NzSQbLrXtj>-f{Gw2L??*TBew<Ze@n>I}cK}lt_w-o+$jQX7fAzn2iv9w%jGaE4SJNE2UCB}uaHWp&n@D`@X7)ob!9Hl&C=r&Vqi%^Zu46~|4^V*U#DotBnR7yFY;*p8~F<- zv+!)%m1VG-2upV4Mz3n->)g5}wejdEGxO`+DrhCP&z;^DMW&kPQdzzp^$=tv9wFCw9L%G*83=lPntz&gep zM78+Q(Ud9%fAD0=d&-b848#wEGedd8q`y2iVn52#uBs^BKcgASB{@ZM#V-C6cJUsB zF2dPx?T=lNXW)D!WhY%`aFq11M+Z!w@3yO}6Cx0E0e^1!6eFBn1l1|vQeZpUx1NSB=o671)0WO@; z^c&_rhzAs9FMDr%~mYa%K~mtWtm0l)Q*A9e+R1y ztM|yD15Se9x(G!QNOz5?uM{us%#$_&aq8n+F~7In$uhyX6M98%aw8Q`$cVmCd)qbU z%8>axOko)7)~-nCt92lymy;Fkd)s}+NbjNW#b=QuZF+QKdp<#tnu;$1q-q2OblaQc zjxxc)y*qK}v;5cpqEG4jih9~V=KFV06dW#%K3cnXS2b>T;baXor`}_6-fsj?`3Tq~ z+x3x2ufaoVTw7L$dL@t^qGEe6dH)^lecPiANr~+fE^nWp@b3vbwoiaU;G`2^w4(%! zcQ!($j~!F&P09H{lKO>U^%VV5J=g($O=dT~u}I6m3Y^II2PGFX1H1I!FCYe7498z5 zdsH?w>fwY*EAbNjRP`18fJ)AKDXk4Z1KL!KMv%OE*CRmK-+Cul$QspG~g&Od+# zUrj6eQ&-Jj@_%%eR^XonTo;f0QQoZ~w{==3I+CNZgZC4LpHZux7Gfs@3dDl`e>QzS zH8R9@@zJ%u_2KjNeq2$eJy3NC9q1Qy@~*7kWs_orZ+|icbRhp{nCi3vgub4YWhI(aw(r9;iTNg(MMq%Dy{i8Wu`Ys` z)7hM7FMTxZ2L$&IFy6FK<_$#|Jr^6H%d*M0bg9+Rcm8ON!NH?1{_u9i0+$_>YP+8G z_-`aS&f*AO&!XdBs<#9#x+^I$@k~#Jiv916HvJ7X@^47yyJN@kDpY#<@pKC`wFN3h z@wX8ovF~b+b-PS~dNDwW&|gk+eUP>uP`lPee4l;4%Pq0(8Ukf??;#VK4OX(rrNGfg zFHNn)8D|&Vw9_#0R}c=GMsY z?r?)QiD`YYA8`Vbv2-TV{24A{c-&q%?5_c(Z$eZPWSvW!00x^M;ta}E9WV2EyhM|(A0fgW%qYQ->Vd%ZbDRzI>SJTQ>aBM zYMd&^;)H1dkl<+k^3P|#Nge=1nOW9DSMfkB=SAIN;c>gXy^#x%nm$a@w5de>IkW=0 zKY6CfNSKg|xj@w%`Hjfs5@Z>#{u(X#v}bfrjN_xWyV2?u@B2~glve~;cP??3uXtV= zKduseamw}Bm$Bant7VTAMFYw!ajanM{zY2^qSJ$X^8d0If97(own$GSX&Ln{v{u#_ z5fnu0Jg_@AszqxW;<)9vODyKws01g2<&xvQXbHAdb351tt^M0@co@OP_-(eJ@YpiWpf+lusY;1K$CFV5>kN$X{FN&pS z{WcGc%WL~IW*~{~l4k8zJj1rp%vK9uQ(U{n1=5DU^5Ym#+09#-lzE?DIOMxX{yS{yE27`2SR?g$r98iyhF(2~a7pv5H?c9OWx+ zOV(&yb=_dza$B6NNVjUl`}?1?#_jU#nW#EDGb<06l%1m6b%J@<&dXE^ zWp=wL7w&LmFoDXU#?41D+Q)BRrUydOViB>R_2UZN}$v&+$cHrfv)IFH)%I13Q!akmlX-uk&irh1sL)|UU4#)ndJoDQ> ze)Ec?qhZZ?1rrsl_eqdhZ}f9|ctt4#+*$(3JOBRXU6gKk|ucZ}NB z&DT+YkbR1_;?vYWzqVUrl%8}boi;W$K2m=#?ZZl8S65eABbUS<1e2(}BBIPr$Od0X zeWIT0#8jYoT4^bpTp%mX$qfL(w{N7}02OJcqVX$`BxH{_QF(AZg$GP{CeXxz9+*Au zwkr4Gh5Y>S)Wc_L@^e(<^&w_IPGWj4UU387X3Il;5eqk85h$Z>e5#U?NZ9w>eUQ3a z8(qAA_ihRFPx!Yh;;j0-_W4J~GPw@;dCrW8J{qM%VS1vP1435aX@PWSF)iP@MuhZt zMN6GToWEAs$Q#N*FT9Ks)?cbT=n8zU)+)w--`ic=CA{%)zoW2#fV(_@@gZ2I zU(nS40q*|UwFRT>JEH|@b@$UgNga4jXlU5m%@)@%{LAE51Le&Q844m{(B<*BhY@Hd z^xm48r=cT_W^?<4;V_e=#sj%+6AQvl4QDsB`QLZ+0zCOdjupQLbxxlHo~BXPjiL|l z3B$l3ZRs49jtPWc zHC@BTkmj(gZ0xmjtQz}0k)8u58m z4Nkd?e_39>pa*9!NJ<#VgQ`Kb>?O!-u zKnXMrQw#lHc*I;k9#TID%7e&NUdx_p#Mc`Dc9Y2J>gsHoeKAkY5LdUUqxjg^%pKz( z^s*KhvEtq6JHd0=>NpH~Eq|4hd;*bQh##UD&naEeNd{-^brZGx_`_St?{P#fq z1AYT&ix;?f@!0p~gSHIbcyx1Z@_(l^;HSD?5Gap*2Dr!?q^k+DmRp+}NqdH!Kn!(o zu|)gE<+6AH{U7v}rmAu$yV{{yr5t&Hx6itUWf>G&-k?AF#6JV4tM*I9rTSu7Vg5C@ zS4gAp3&&-9AV(zy+6l|sq&6NUG=*iHby{A$fR$E-E zpF8>~bTl6++nz2HcmJ6#vaLgm!{~1~++^(EDI}ZIP$~XVxjSQnBQEuKeBtor{$XwY zDOwj;9NN_X*crG4+HAh|iHzvWaN$IE8u({H!k>mPjTc37v1`}RqYN7Sdpq>g5>Y>5 zBu=6$Fd07oJev~jOS;CWi_ChVA%tDwxtE;e(UsVN{eP_ndmQUvxB6!u;;TE1Vs*H}TZZbd8TR#c z^c27lqW-Uw<3E<#-@t3uRJV3G3Q`)@+&4v!NE$CDum2j~FMr4Pzh1ZsLqO)U8~R_N zaYhI31Qii|(_B`v|G%FLjbDfD`3E!T`qQWXbA69E!RC(;(`O$vY=;j0=T&haZf`mG zfcpdWkL`V@j;d%cJP_&l(_nW?XZpLXPA82);p6EY2f9Rw5CMx7G6kfTH%WNng$`ys z6YWfE?<^U*EMw?KRlH&F0^M5V$barY^K!>jA6GKhx>(02rRb++bw=1Panhft#JG~j zvziW^IWFQW$AMvEc9rV3*h0aeS*35e~g7Q{?Kr0%m z@dN+)Bo`;k=ej9&OITEU>MF!4+dtstl48Crh&7OVPdm-~;JqoYx9x;l@9TcW#&7Rb zZ|%@x7Rwg+Vj;>XbV?yRephj}TpX5-9S!>4vj0p9%C{vvPd+8-6r=?>_EyYKGN0n% zyJ~nWD{?2+HGY-cN&89g(3 zp47y@r53+|2J(-`zmq_T;RQxfpQG7Em-<72ckL6(vwP>EB5|>%md#jYt6fez6b@D0 z>7~r#4Ml`K~?A(Af%K3XneMrwhMMX6L5jaKPVs0Mx z(W661%JvL7O_6>7E^BDiXlFug`uE~gxcHmcjQ9_SA%8|Drb_T_0YVtqo6s?_44TS7 zhT_pH7kq!RPe9ls`_%qEOWe)1!lE z!o}pZf>^*BqO752IkqY!MAEVAGHSBb4IXfAu+V#V<00C^zd&JzA7i@6!l47kXrw?o z_V$&uUs8nR9==mHxg#!I@P|16wuA0^Et8YH0L4nKLw3=_=*|OO4c*RLii$&qY-@~& zv7&?j9Sn}=f4yjKa1u@R!}2=IVM;YsbCH4b1e?bm*+(qXNPgP*MG5**Bqh_<@w110 zX%Kw?Bvf37Q2cNJv*;5ftaAXU_NgYXH^PUPL7+jrH6!?U9F%(EpV>f4W5Tu6(rD6>@Xm`P((7!DeQsSs=u2N@J0&#r#>?|e< zZZZTCi7zN&ba>na7;{VO&dPN}2tm$xdwajQ#`$2e%OqJa`h#*UG53DSig6KSF~8)G zL?ti6h8qLEX`^F%_AH_xRZh4}V<}wiH`PGzFB%}Vk{x|>-d=233j#M->X)Br(gQWQe z$U#(;N<|q8m&Wto>-Pf);kho0Z~YVO&@}alSmq?iqKD4i znXNc5Q0}n|X$MaT5}84#w3F3gVCUgej@IB846OBUNj|M&2Vx{Wsvc9;*%^BA$QdSX zsWlI&<=u)soN?b?^wBeITtXX#?77g^-ClTQ<81oja_vxi&cN{B>`8^45xMjNn)i{n zmB3`%yIzdYgLOZyOL~Q!d5Hbi0PaZu-KUQGYkDj{qlY3N3Ko4)$lUq-OGtUt$ zE&>(gLG8(qgeVsP6D@k&`yAgpC%mA`R8GV+ag6Vz4d`g!D1JQ=c}DcK8q2~)!0Xt$ z-#J5*FHKKxyC||f9*0&!L%EOZXE9V3DV(B77GR!Z9=_gKw83#^G`q_G2afc3=I(t! zW_|jMuOJ~c*e)H`nVMOB4XYEO!)9Z-M(XM(tt-4oR2sYLAUsUjRSXF)ChUu>h@ZcL z6srSR#4dN8qQ@1r*k6gUNQIW5Mbu~BioR$S2p4{NeH2Gs!6wmds-=kDP_~suqoOGP z;(mI0f5mVp(VSdSBym)hs#m6iWI4w@!B7HxaDB43FfX+#^P(7 z-~U*l${7nQu|BMSHpJf;C9*nhfxhnv5{r%JBYgJL#xejZAAdKV{AxMPMvvn?$~(bx zK!SpJib%8nFhfB+Hm9^0qlleB8v<-`(*9Dzw!e}d(^K#ho?WF zH!3mCQm)3vS6x_{nRSR(;iVCgkqbpGV;}4RUg2Hq0^H@YGhhr~vZEGw8+$n7reoEI ze_Q^l^DhvIswmofguH?D;=hd6mD*0UP%TlNyi5r@N?4=Nth^PL52cRX6=RT`_>;G}8D<%@Tu_-}7 zQqU#*NW3YC)uDg2J?}_q2xY4dU*4pNg(&D+XEodwG)khK3=9nJj5Vl-ms)J%=zzN@ z0F3L+n+wH-fX=s?OWY}!lkMRpMC7)b7+z77L@${73n;3m(n>cSA=N2iE{H82kUNq>K&Xhoua~m9IkP4C4ItDam~^@}m{ZBWIS&P81#=yHn<^J2$1Lt} zo0^Q{<=3QARPyW12JSW}pAMja5Jie=Y~TetChTYIjX_!ANUNyrZJ~ThMI6$rG*kGq^;(Nz zzK#Z%$ULQl&#_*3Cvqxr>*rf!;7>KTa~xycXb&$De+G@#B?ORt~0*=vBjbJncjQHu3l$iL-MX-1Vr>hlD)M9WhG_sx4PnA z`LYh7*<{}{FE7Q^Wr89Yw;8? zK)i-7IBZPl2O_cR+z2G8KSRYW(l#v(EW&A(Hu>&3z$)CjmKv;&HLD-IYD6br%{GL; zkh=v<1aRU~Xn(e)wbJm?Zh~Y?s_`?|X`5)3*eD(GX8@EJ0omC!K1^mFTx`K zpqc>IZ7GdN1bEg7bB)%I0amAZ#DU?BysgE4k>yd}(^L)Rla5%uji$=8Qp2?3&$(C~ zn15%=G<~GS-rJ-wn51u|mD)8iid{J0=Hu!)E(5R##S*eij=}SFg+Qlo>yWQ3iU<1i zZs4fa{_OPgRo5V+I56B5@GReX@24F+MDVj)t^~-F%-KyjjnNI@VR)>*Z7`nGE?v;B zcOCX3tk28WeL_^^a-dn=LOxm2M~~MwFE?qFpArGKtw1~}wLnnRmi>Heo5&#-Fo2lk z;|wQU*zIQeQu*qPeh+3E*0lDEFC;2fA&P}`N1jX6jaH$n*<7p&+6T!)T=cVqOnKi81;v(#&!I#Kh70iIo|5BWp zYj(``cTrQx8sxCRncfxH> zo~b-@BF34nxqZM4!-I{Q8Ypw1x0N@p9zSbReItfztKF<1o>c~ZB?4^nQ5f-iIibxvp1bTY2soL1%PgfA$j? zrvwc(0A}&UPdOV7geZ626S`LD@!{v(1yn?DU@yPJPNa_kb4!Qhr*l9bOiG=)e)tGK z&yuf5oZz)&jAAvL#|8zXpjnfLbIB796(hB2Atsv)F~b;5oP=K(`W6>`>MsKd#V$dl zdCowBjGA*#V#5;J+VxmCB^Cj=mgc&y?P+WjjL0Px>ev(Ayn6LIX;j2}g0ZET^c+al zRJz=fOFD&YMDr1hSz_8z{bVFkO<#2+HXp54{|4d>c@2ZiC=Di>1O*0I*Clz?fKbR z%AktZJ!N$wc<`?ErDnJKP&Ui|)*7PJYH~x72$sk`mbjaVR9S)qrmkS`>T?JiOqj6M zjahK-}dAT+$b^>GdfQe9l2%xL=R2FTc-pzPxK1Y%IJNQh>!&#X?Q zYv}8Pv;}k1s>52gSo7$6wa}0Dy^$x-sF;74;Oha_U#3YTD`WNCv+oeXZL&SgXLco? zcT=HW{k3%9*U6yTs`BIXO3=EdP(aAes{3l|{G#Icx-+%ibm*#9AlG?QMHI-1bihVJ zeY0g2yt-Rnj>^~%qU}x)-6pTb$wN=VMhW|_p<9wG_ZCR?WpZ4=i|O+~u>9#m`(Y9U z$r@SWfg6x~e1?DXC;w%qTXFYOsVcT@ULK4bm;YA{5xFh!8^6cH;-gx1?y9N)NmIW=&&wr08`hinBgkkWD>N}|lFx5u}uK9`N34XoS?XA8j67gainQd>fb?<{*s;b(e ztg(S4o4K$_TeJ^Q^ey{jcKp`(T^OOW<(*`EyRzZkt-NAQoL$*lTT=_!OfxI+CE zZ7;`M+|UBxP+6r;;CW(1Mg36e8pE|4vOP6gSk_%s@%B{nmx#F(Xg0HVlZo727s%qF zE}od)g{+rSVZpTW^i!U+GF0>fumEQuQ&vEry?ZLAtA7JPr+2H9M%7&OFWKI- zm`bxP8ibRE08l!h!SIk#64z6FNgy~*{h>;SEmS2sy9{JtA#vE@I)TAvu9KGfndpKh zBC2RQUM?-0^YWC9$kkQqFA5Sl7~1X3jI1orHD7y&cA7)OYTR#*xrNTM4L7`Ij$(ob zkK=2x1%L?{)gL9>NhQxzmVA73`Fkiz3I3H7>0tE0?8OQCP947u&(!|-xwmDvVko)7 zFWl>-Z49>HCX62^`?!dA8n*wqlR61GY_3)(qtF`G_rmYUx;}%AQn>i`ZO2Odvf>XQZ#cl%-sU~hk=nnx+EMDNvh>V1H)JrSoNRvk#tXrh9=m>dM|Ra)JdI$Z zqd;g=3K+wj17G3o7IH~jaRq`+D6u??>W^G_Gh^Dzx-dKV3On}&Q+06R4nS{gmLc1wtmwCvZ z#1ijcpkH|G9Q!=e&}e(U$mWa%UlMF)JVzVx0%Nsqx-=RKh1PLC`qRF_wo3j_yZoA1 zF(rEOoJ+x%yzS!WzS6T{^)k~ciUz4(2(m0tc6?%D3!v865D^c*?^%GN{J5!#$?6jP z?%lglhHF%es;>sjP`|HJ zj<(!-ClAA=-mKfHtys?=lE>}Z_fjo@#q!O)9K+xz`(QlrqacAJF6w3a1xEg(FRrCY znXT?8zFj9=on}upoL-E`{XH?X@Oe#tuARDv0j-7odPik1UzEc3Ma6P{uick)@UgJd zq41%KD8syCdgNHDmm439_7egu>69}XwPN;DA#7FzGe z-aMwu!LD_9*w6BEO+dl!!T}scLP9LCMdiwIYQ`=WXIs*Hiuj%N|9SaGz##UnelqTY zvbS4gN%tjqca~w{Exl80H-za;s_Kf~k++$A60|a9W0rVg7rr#6`>^EA{)gYtb6*6& zUZN6nq;#{ebWLm_lQm4(_>OsN0V3CspdJH06kA24=L&aIt?0@VRYGa|dOk?FyF7euRXBiF?724F)E-3wm2Dasy# zPEKMx9-1{B2FJp8augnPjNa+9oiu5VcYIKkJ6-G@_R2%~lXYq-htct)+9lr<)LXCb z>sWU*iZKyIsQLc)_k=qiv_I}*_th?l^iQDrd6J+#e!JXse%+2)K_M91v-^c;XQ9t4 zjLlSfzL-VR6QO8GPhO?#cY0qmy>j8@hmj#KMR~GrG?U|Qje=DG-reXtA07QCmf>3N zLA#N|Da;DA3pKGP@6jFGv{WGt(Z$Rb``WsKHf*14pL+2)*{h3Jvrh?*7r2PlOR|2c zwR_`jYui&*ew319gNz;g1dsUDA9dfSEM<-8q_BD|eI?uw&kHbH(_c63Eambr{bFXJ z{4QnQ$?}`0c9f6WF`3&3hNq5VGC!6stY|6{oxd{PXE!15`}ZNOAdwu|x0gNcjfdIM z)^sZ3I!(Ns{V4%6Iiuxo8WHH@C&+Mmw1n)jJ}`W9nB@?+|6%)g6P|LbuS)LA=Wz@+ z58k;$LH0#~Wz8;yWjOW6txmsY+}uGKQ-HA2V6uUuL?aF8B{7d-fgH_y?i&-mMOQj#Oi|HEG>Z@{t` zW7QjM(DG(AMSVE(IDx2q^u6vY+5pA9Om5fi)Iq>4Tz}=uJj3vB;$ejbHBvfNLdf^{ zdxG%*QNT2p*Xahb{FDd}S2i>>Tn2%OKNKf4baiD#vKClQ>~T2L0#n18n4{*Q9d{4# zp&gkXN5rJxwr<^jY0zZ-#MF-cUfd7oF0vOu;Gv!;Af%yg7-sqyGxJrI;=x+XNo5S# z+CTt4fuZ|JM-)Ewn@>#(LY7+93Lbjt@r6{P<@5cl04M2jl=c+FmFy znj1xh4DFL)9PvP3tmlz#j0RtbHGtLw(VJt@kPn%K%96BV_R~5G_EsSM9=t#Uh43~% zaI9UI?eQV(>5asO-9$4oF7?!NjAES%YdG~0*5C=gheq0|8I*!yw;_nM_+}Dn|JgK7 z-9BbQ+U*qUX+nKGd#6B?&&_XtwxhN;5GnOhpa1a~F`68Jwc`QumwmvvWq|O9pysv& zX*RZI(?h^_*lK>c!5KGYh)K*gA?4|t)v1VocEbBqO%}C`3Nyr*=#^OdC?A!@aU8xP z^1GNYJQ(L5{_e!FW`WM=$72f@)IISWh2Q_egAZe%;>XOE+J|#SUVRX1hr6LY2*^%@ zP(HJ-71#z-H7bq!Yj9mc+oXqrdWBjF9b=pL(S*Z}@M>0}=igYp?s_iwM1$-lhM)Dk zgb$v)W`Ba{#khiJE*xfzj`y5p`DMZ4wxB;28i zEAS{j!}B2Q=C-TARM`{Uck0D6jY`v*pVoGEN5&pGRxbJZj>^98sQRMA;^n(Hj8OM? ziu78Yn}8p^KTl{8hECd!G4KH`9jS?`MlTGjjG$$}>n;Kw@aQ)wnAS`&BPS`Ezu8-R zuRavIqD;>RWwYK=aPw~`uRuSD$(udr+2cMrS}A;+_^P(^=;kT~QKwKK6lE46ip%6M z+Owa?xqeJxtgl`rZ6DF@qr{sos#w9V-!c5`zc0(RY=4yk9k9_TWLHXVLrK-NHG6~v zx89uZUrp`r&T)a=>-r{3_}8wlY71T%{z2&E3Ou%7&q(}?9KTnY2H3umod>;rj;9%g zhAcpPM;?z~H`GnBeVYm{@4Q;J$ZAxjX58bsl zHYP*W2|rveLbV0UAj>)j#a4VG`-~vO#_DysKQEUPJSI5inTP8XNvZW17b2~C+mCA4 zz5oLW;<^{UoX2Au(;e5+J!%R1=Cu?; zq#;f?2s_62=0$R1L;3s{Rf>$Wrp9}!%Vx=@&XV44VYRL(Ciqgp2}01&s5en5Nu=5u z%#>_#Jop=Db^VuOXf|@872Zm?KOfzNPT0Y)@w$#ww>@_TqHhv>^u9V_k;9 z(#&{>&3*Bn+8#EX7p76)=*4{saP_F3WH2+3oA7qh?1~H=WA9-B4`0b@9Mr|;=KFz? z3t=?(m!Ja?Fk2FODvA^?`%H9~khLfqwJ9)Cfj9kZ&#+;}oh_35BMXnIRS8 zWl>>|RnDC7t$mxS=MkE?CdDSopN?#ZlKohcG}6W`&-zF`M}YMOz)X|+qk#&$oZ7#7 zb{*!4A9wL}*_=D7yH|^{xd}3l%jc&zInT-D)?7M?Mn)-bv>L;I&FIB(tX`UCd9z`8 zh4`JYkx6?EGcO z3JNufAA}-13}VIgvN<;s${)Ed)QRt5R*1OTv3?MtgR-)^%)?#+o3qfkgIhf&7$2}( zq48VgS%$Wyt9Im1FpsF$$ULG0%QyVPGzzs7HP;fLfXPyg%KQS1?TE4(W@P}hvbYd;g~_Q!OH zG3gOO@=)96Rg~&M1b~+cr!+QtQD|6)(}PL{%c#!p5XdwuQ3(_A#ZJR0z5qYpB5pMn zD$a%5Ce;_2Wk`{Rt$!K?@sG%jw(2FWhd0YlDCgbIeKCgG29Jh0mvKtOBebz6Wm$-JB^Zx!7mn8^|Rw@oGn8(S^IjclYPIHl|2pDc>H{@B6J$d5+U6<-QO3F;p#aJ!C^8NUhs7su>hXO+Nj6;N z(o5gmJeD&a+hKk4kwaHQH4+OM>+iT%7TxG|7w5fZL`Ts|B^p34g^hZa`Ra_=`--AR z7mu7K^a#C{)z?21adz~^b#$luZIEDul-Cu`1LdfwG2Zb9%9bu%xbr~{g8o+m5KSVh z-fhlXQ&k>jfYr+BO^B)=R1LE*p?KCUy z!02zFRXDDk2n?zrw*_Y7&+qd5YS@T9UI+)9g%tWvP+F@LZver$yRRK72|hW_dNbX> zolNWF<1+_-84Hm}Tn0@}%H>MXGQP6y@ym?~{|%tMy99}xo&Y7Zr``j3BBz?^SD zFB;2J*yF6tyOt(J9)Y`VCO}}Cw%HZZ^_K^A_Sh&CHB`IULOb?BBT;piM5*WftngdT zAXO?W_aIk0+W6lb43zbY;;V~BDNLjo*uRU-arDFjGbmJ+QOz)0cQ?RPhql(Ew+@$2PVy{BqW!Kc*35HSG`@;%DIw?Z=<{dDdX~pVu94z%<$l zt0A(+r&6}RUe%qL4l|GkoCP=?2qfO5)E&DskgcH5HRU7Sn!k*U^wg>1pNG@SKwfaL zXzZrdWswNoBa$T(x-%89;D@VbU-;&dooTW8Y!EYS>g&j;Aa;MK((bWi{(H%K-a(8M z$;c;s8cd--O$ZW-!e$G64j?6kGk)_LGoU^Q2Y0$30H~V zoax&={g$QoymUAmex$Fi1n7czzCx6Gk6vkQ*W+j|B$LC1H=bI3Tv9fP}j4O;N5VSHgdf}kS1J9?{ zSY$^O|LgBvXj%iFR-1IJ4&6VhfD+-g5Id>j^s9(pm zYZYnrEeXe*Y2sJ(WEFD_R;~x3jGzRNw^`L#j3DH6XiL`ff|`^P*G>gRnZAn zrfUj8(x%zK6ulCIC&2MRWH)1Wo%4P@MH_EZRW19(^81$rR`*z$g;Y}$Fo#XGMIM){ zywc3-t@dZwBgezG^IzUTxDoIME`XZi0jL6pz@}8<@_M~zT$c*DEHyG(Ya|y1pw>Kf z$>Q(MOvB}1{guPQ*Hx0TNtxT$)%j2d6sqsk z*eDC9qXMZelJ}GiUl30mzJ&(a@nv4}*R%1;i3yF(quoYh_sa7AYA9mDCAiaoIsgj& zMzgg{L{QOkePGL~G*VgQBBrp=)o7qa!b!g;h4dNs9YRd0?$aRoNk2yPRRmjxv9g&ZY$S7fz02tnmJ(24MoLTa7G zwz(g-``<>(du?zR(&1d-Ssi4i2f z{6u?s@%rM;#pYbxr$$*_0CARO)Q9m!&stcpQPdWHVpf^IJZh$yaz>_gAr8lainH+Y z6nEVq+BcLgnBTp-3snaT-^pEk^nDRQYh%^-D_cjV%vxs(Mv<)LCBiLT zMVcp{7b7CgPVP}$M%{8JezIBmE5Nb1_=y@OO zm>e^Oa@dP`ddw1zs?^M=+!rFDRHGDJm72TkAsULoB-&o4?)sx*6T3`T|LlzVeePIO z56xvJ1==Zvp_d#}Qc*m}CMPg_eR?7BA$uz2e{9TCwv`PM z7TV;FV~?~Ja)W|xp!^pxsXQVjWes{T#Fn^%ZnJCAj<_PO2RgQ-C_2>1V-_lXP=3r8*k*d9bxann{iDx~x4d3P`+UA`^QQ2<6V_9a%@qMRqMb+G&qV^KRXxP(g zBL3xAQ*W<>={!36j7EyTmr16vEth8g3t|j~C%YlWkb579P1E=e)YR0>b$67g3)?`v zt{?DU>E4w}$UtUgSOG4G7N8f@etoD%H+qC z=$|K8{K8KN&U=x~NBqcsLh^|hj-Amx^Zr1c*849XPKVS>4My`=U>rOZJO(1nzn9ylTCta3A&Z1cK6&xLKQh12&uleXpvMn+Yn-$_7!mZ|CZYLb_D3dc7|` zJm4lgtNH!r<&+pf%L31)7Jdo%LmetJg~JB7 zfgLd(r3YNG14OOYZFild(H>#JX8g)>wU6f*uG`e zO#0zO!3dX7ZihnM96>_R?eFJ`S>$e$JXq6Y!1~aTqF#4V z2@#0g`lk&iHAQcSo)4pirt~<5AW>RvJ+JT!AQg4B zje9^V*e3@|~ zxO9`S9hgW=+^LVUIoTz5rsm8C(MD(-MBUFeE?H7pbh2Zr%hUbQj~?5#Iy%b?shvWe zQN5cLMOUdr!&5kl?Fwsi0}N9i#xnVBhnozLLN=9uzx>D_J$Sy-D2Wp)}a-g+e_JKt!Rev7Uv9lX(OxRAn(tfuF3-h5#iQCjnH@w+J-X zUbr3yBoA4K>s9eK&}Gta+$3iM&}L_a z3Q8`5jexqKTJdH^MG@6@U>}8)SGjv6qUPC#!{`}zSC&*1Ws1sEPiOyC9qlnYuIYu=4+l^Iro(ZlQe`DcSW<#lO79Sm zkSJbO;tOeO{GieQJz9f1SS^s{*fC{rLh>d(CZA0PP4=LDK?<}$G*h3=EXLnp_(T2$ zO1$wqzmcQq$1g|{mPX*zLeJ+gv@ahlfu`IyM?0154H$|Vo;NTgCA3-|CwqSH-1~R_ z4^=N!ik}(04$g3^8S)}mO*OL5neaf$nb^MJB38VyS+ljwHtvxCf&%A~xH`+HB*eqK zCyfw65Oe?LQ#FSGwT08Su#nPX84jylYaKa`?VC=Ctuu0DQAoznmPN(x$#Ur%)_7pF zoqw_0PrUIA+xH;4B?ud(V#X{JLwreVCwY%qIE>gY6^V>x&}UfY8PK<0?eyMOEw;WhKui@Lfk&X89D zNLYuY2$gv1&PtD?WXcm%R4JZar;0a{W(};Ds`SU@dO(BhwY5y4^MiLBdv4k{cx6TA z>2LKV-1)mz(^r_wK!)rr@ayU$&QCg5Mw=Ho-Uaya)efemhG z>@XM!NK9XFIB?0|7?9ELHqM%AcMuV6Tmrp;wiY8cim->JK0hf(UK6XQ&rS2IyPteJ z-jv$&B}iB>kNLrTelyYf7@xd z3k0BN2kJhvoZ)y7nrB~DW~gF&A%N-gyfJYOo4QO{5SbzG_wXbK%%>%!%GOqg+lTUX zcZ!*M9~rJS=r%8%V*MxWw2x@X;6q7f9^n1C@h~p`?q0dT75y--|0FQC1S5oOjD+9# zk?COf<~%aH`ll>B`R(rY*hwJg&P~i;wc|@n}fb#>w?*2%VI}eax?Tkb3(MXm9q(QHujf z^%1iL1(Xc{J*y7MHdBZZf-W^qZ(9#QbFW?wsVzDPuv43okMY^g+-C`ccO9B!Iqy2s z5CQ0T(fs1(+Dw>6;zHt#ix2+FLE#pq#@=W@j$?ON=ECGd*|XEKjw^cm0f`qo2A1_WKcY_Y07}S`9DWdVgd1og5R-Mg{v?%a6!| zEH%cHw6IjY5Mcp#2J3^5i#+;V-g9)}1Bh zC%>Qi3&@L%!9=P%zAad*vMb#AYJ}VyHK>`!jeei;tFaA4? zTENXvV8zLDfj~TV!~4W@>(^S%A|@;M3+b+|v}5*2(4ZxCYkO12SwN7(e@}3zQ+1?L z{AiJ|6X!O3xf(RE?hV%CY@5{0iu52dXPrELigHeZ{6|Cg3h|?E%ixPJ*S<3r^&O{K zj8Bo4ATkawxPmjoiL5;r2%2+Fc4h~`xgWoW9-at!jz2X#{xz5ve2Cr5Zz-@>&FD9Th&eeBp>$U%Cm)W!+U z&%xL})AllVL-henW4+^P3LsGrI=?6DZGu7-i!-$eeQs@!Ycg?8!-;fMC6(gxj^{m3 zKfnEo^j;wk=$hXcP*IWZC(b*3C))6_%zxE1`zvYkKIze9Z6=+5!u)gRdB%$4=PJEN zULcq^wiJ|3}tYM^)8->)t?+R*)_Q5v03IK)PE>Lb@enQ_`T6NP{5VDcz-PVk6z5 z2y8kxA)s)-3xDU_d(Ro;{mb!=!QN}H^<8t$=XpL8M9)l{3q|&WRQ4o?Hcw9Fr!S_i z-q(BVdGC$B#C9@}p2Gn=gpoQtR3ue%5Wh&w7SKkyIQU=P6Z!}Y&2_l{rQE2P8XJKR zQc6elTs0J?;)niBu0rs|2yu;7Mlj6uICbC&POfM)hHhI$Xm#4lUtd-mCe0b4+9E9m z)Nyr!QG>3*WZ(_b|~@0Y(h6q zp&&tVK(|Q8Gt|b!0nh1N)sp0###$`6MZ&F{Ltv>$Gq*zg1I#iE@c;Z1YwvFGGMHBa zu@(;!NL;i;2wJ8L|EVLb6(@M4p1+cl^w~Q(Au(#x2%H0ToS5F%L#PuoE2H6B(_t@W z)Z^ajd^{-w(gZ&7IXpE$14!jmFL{y71RktBhMQVLB2TNIqF&J>s$-}FMfvZzP8r{j zF$mh|ybNADWCAgWV<~(ZaUGIMOXYD^>E{KM1>aU2hIT_e>AE~e;y@QuzO%I%aR~Xi ze*N|Q!*Dx=AqW`xTX6DEBVRdxUEZFp^+xjgIVn@xQ&u4SS@TRL-WMjgMg)DeOi4o` z^yr$U(x;3CW3F%i)_cfRB&!nf0GBpL4F`MNyYAXK{131GxV)m(1L~n3@CcFp6v($) zbMY#^n@h1A^Y9hdN?RxRdXYJ|!eD=&oYO9~R8W$&)Gh%o2Z*#TH<5m>b}2Pk4ydvn zSdLp})G^Z9Dkq;-C>q9q+m&2eHmw(a{(mV87owb zX|_hI{wDM(9GeacKoK6ssg!yWfH6qL1VV3tLlP6E!xefW5rpUa9S}AAdxtCavkD~P z8<@P$byV>?<^{1tQ#Mji*Rhsy?CThk$eyI)&A(z&m3?GwBt6cV(nxSZhjc-A-G@e z^nk8|98AG1QiDxKmnGW7)$bzf#G^OPIh5Huhj z`8N#qztr&Q-$H3PbzS%VUnx9vxV$5gizQ7j;~%ah1Uf|T;CI&jbSWfq;3jm|&im9* z(dovByWScM+oBB9v^^@dCc37y+;_0bDn*nCBqQdEDgF4+Bk^E+yt*GAvVuA58{Zgl zOJqNjTEsc!Te-A=sv_7%X_V)9N3UAt>ny3iF4jzFC1%`ZqS3bO!{*n0z(VibIG9C^ z0%@CPK$B03gDm*OGWowsV+u;7_9k1;>qK(dSLS#gr?OhLIP8z~t}SjQo8-@)5cb#o zUwOL-oqzzDH&)frdUbxDJ#BBQ^!}fQx+w#W3OUo{DIrAMA%`(W)&c=i@Qmy~C!>DQ zYJ-3PAq#?e%4nq@n;AtQ6na7FS%fo#)2Wq=fmV(~d(-gkligN?Wm{mChO}?G^7GhO zjv=@U+QwfJ^iUY?Hbf|@;e`N20tp&F591Ar5XjNPc>U~(HBfOV0WwH8D?jZy6j4~fcmN^rRTw>;f{3dRQ5ZNIn~uiFI!5>PY*rl;XO z2<%g+EW4-Blqd4(7dUf#$@W&gdayxBuFwG-A|>c!c_9?o|1{BX{pxh!kG?5Xp!|P4f1qy*New+{OyKqroqyn*7x1?W z=jEXGs$^^E$LsTFE+qKn1-fr2%oPq&?uOV8kn(qlWs=umTuYLGQjv=F0JL0{pi7); zxSdM;I`w&Y-e#gJEL2HGL-M&LdEiDrz0P`+)s@ znO{0bCQPw@pDp-|Na9dJueCeEZ{$eHE6u9k*uiishXzrYKW#Ejpk_I|DQSzR zSls@x@~Owp9BW0y)+`4PCi{wA+0Nl_4fPyBOh{DztFfZS- z8)^^2`PgfU#oYEn#Z|XUvAvka?ONExC4HH0+4X=JW>z{=T(L-7ap6dV;}0<8SiRxR zmhbmc+%P1kvGTv)&tw+C8yS={QE8UDDk`c-)fo-1n>)eQqMN z`+3*I&lRfax+uPCM^a&#TRZ&VUaN&Vtvgt#8tG!@Tdf^gD@VzD8AR%u@ZI>G#?trT z&M?E38&JMkm_Y=FNnb?pNc*gNa|!n~9$5e|-sW)RV&nbljK(=9$@-$}>J7^6IB4eW zy;as8|L~sJc%Vx04o1om{nWdj4h|mkGuB`bQ5Y#HeHT<2@lDKyNm-VIJl_e}ldN5hrY+Hsz2iP`;v3#wKM^4DajtE#Ax@^}=^fF=JZ!4~bUZ z-#>PLVq;cMt)BI%okO)7WL2^^cRn9km}Zcv^V>i-fwdiQ%X*wQYEX=!+_O0avdakv zmwY!-2jb2^4r265Uu-Ar>F8(*$cTr3W=YJ-^S{h}HEP)*I}I&rtEw-PQ6CcrNJ>*o)Q8{{#lGB9bfZjzI{_jAx4#K}dk4B4y8Zycvpj zWJMVM+|Ky$&|bTs;yeK72czWVWH+!Y(K_~c@$W=U7k zcc;-dFxZSWnbN17odl&0ux~x&Hm64@4zTokqh1`~5MG|usT=2Xe@otSp?#Oc?6QD@jvO^9J4;4P=Or4#e@&|F_gAC_ zsI0IAsYczi$dIrlg=GGh)7PZ7>`74Pjiizy9SoBhg6d`D3BgECZ*Y^FJcU_j=u90dW<1_oxWLez0bX-`$0DCqNsmRI$A7j2Hy}0q%yEB6WLMWf-#N> z{81hWHn8pInPja5*N|71sd;%Ymjq>deqwf+!TGXpG&=d3R?8q4#gVSEEjf3^B;i0FUT`ns2WV5#-|hx%}a00nlOn zvvP~S*d#}BU4_1Th#m(_L_@M6g#TYkcOlNyc%2!Q?Xv!EJU{c=QaGqV@*rI>CJ|yHhTEd!!)Fki#_(%7)Ul}50cn>JpeJiNGHnp9=6kvJfN$l z*i`&D_s4;3`EN%f0#8z4?(6%s6jO8M4T@GO8+HNaCWldt4%O9jq-{ zPrJa|zpc1Pjh(X_ss8S5Y6Va+TFo)V{}ZC5?Tq%$ z(~nlQ6bybn$MswAYnl2)syrDR-Q{|h4{!$@nghIR-u+imN`U;fZ29wbR(@4ueYzw* z3J3RkNY%Zb%2Bc1<-tp;-vIS&_uZkHCAf{g58^(>Uv|GY3mi5U!o`M+|1Lb1D1v#_ zbS>ZeG9>+T1^5Zd@iz*Q%xG~AWCYYvXeBtbrp7{4*oJI8pyJqaakEIS@7DV4&54Mc z>hv%oO^r~J47vts7Ors)-`>^@lZPi*nl=DLLn*-C8eRqZJ#IW;QD)r@N`DDw+u1 zixH3Y--A&`qYVpl4|#M8Jw$*t<|r8Py_WT#S3Y~VTV!imZ>YUkr7Y0gbpn{%qlpv2 zfB=1+mjN1UVt|Ucq|$Bh!e!-FJhnyhRJv&f);nI@l;ka6iwy1S41G3R&5rl_0$`|l zUd;U{cg)^fXeNQ&4Ul{S(bXHEROP~+9|_DM*7C$gDcKcG2 zqXf^}gP>zfh+09Rl|p$6%vM!gh#gzeMKjd+`6(CX2BRc#1%!C+H1OC zX;3lT3~W#?0CQGUA^tzeScYZg-ai8{oX=L1yl0U>&^iDlW3(wlSKMm@m$H-B82XN= zdIK0&Zsz+hTz0tU@OXRv7R4(N$cdJUkoH}eXB;<-Oi)VbKWlpWlg~>BNUK(Y0N|w- zWb;CgaaEG+x+ha#H#O$M79G3%I^~$4L<;7R%C1sdylcD&Y<;p`=KNgdLH}-!1BKwQQ{EK7XYYfI-LIW zH~~`H+uJezjFd7SVOJcgj#!>7iZkh1xjE6@^X?zl(kMXa$~>>f{FTI>FUO9VS$VXf zw(b?)8PJJugjuqT6FXvor`Su3eNZhPIz;C5DR|_G5}>uEq=3l5mGTw1#KWL9*@eJN z5vgA*{b8%*SPa^nWXc?O_#2GFd!iR2me-8wO}~A&f7x-5WhU0xRfBA$cibl&v=gth z=31?c%SkK4nhLChJL~3w={D=}RidrLV=UHK$(SoE70|$~+RuGV13V?jaec1e)spaC zU>OGhTj+m-@bERB7GjDCRVGQNb=x(50xeEdfa#GRW0909u4h~0Nb)z7F(c;~b^1*nOwC4GC`kS*KQvB;TR<(|K_J6%bh^<-bqETv)VwIe{R%A# zf!1biZjGr3E8p<~Uw-HSKmjOTp7rZqduytuXItAd0Q9!*&lzxER_Cea#>4s1Wiw^X z0SSnSciqKy`yL0{mg2Vn8SFiYN6D+6WjF)@DbBIVVT4EvfD+W!tvaym+4IS@BKIAr3wq$ z=(np3D6x*Uz??FRZTIJ020s1qc;*_B!{8St!1`$zI+*9KP%EURsUB|)1_N28d3dD8 zixexn@J+Upm|RmYN+tGIdB{Bbz{Bpgjrqfp#-5&@{Vz$aN`H<0o^%>Fw*lR{2!KJH zAXfIc$JZcyu|lRCA8?%XfDI^Z-#RLYFz?sXY3qosB)|yrkA&D=;QEh}lOD1~-ed8! z_%I1y`lf@4vWI`mdVw9C18Vtesm3R)#9Z@E?~|^Nk-!jVrcRZ5KOi5r(F9s}=`@SE z#Cab8k(pTYy*PP9U?W->`{MI2KroYJ=!+cDp#gSRJ=xQUy3ZV5PHsCczj09H7TVd^ zrWr_^{X}*x^&(zN(P&7VEpI>MNCYy`e+U;>Pom)0_qKJlJ_W=e)B1b`a((uk2tth> z6lBysKL^{Wx`4M+wI8dvRAj*Ze3JE%9teLKy{0s}k8EVKTuYZ}zV#V0tP&yR8&Yv9 zHNL!pVI`@49R~GDQCo5WS6VC04yf#o6CEhl2O$>BRsziC($T}iW9%fN(7<7XV@Nk; zkY1Ev+(aKG;%OHO^A08GJxRIr7ELBU$#($q<8Y*%=yKUM5qRar{+L9U)TgLf1{;|= zAw~ml{nI&NU^3LclL&>EM4mFs!F)~-r~(7YN+>0?DiClAWWo{#^OW z)EMP+t@Ye0jYq4bn@N#zF9Wg-{E<#hwT(gad^{6= z!tWV(6DGoTg<}A;mK1f{O+500%&RmWhnV?E%w=c-{__BDGmJd%106#;=3sYJEwXg@ z*OYjLn1QBjrp=`jq7juN@iH|Fnm;Gi@L4-np9!?jwH)+NB>7$^0$NbtHCM$|fi0uP zuIydHD1m9K@Ae%WR2Ob1o=UtV4vKcVH3$EA9vKFceFAPcKy1-@>N&KlG0`cZaY}<^ zjm&v`k8*tsj6)y*!E-Wip6{|xHp@gTN>H&%J$$0W*iBrjq0!~Ru-ZXLC&pMJKS!tAFXh4&6_W51P*H>&3;C^kTZh7Tmw~!lq$ZHD5=KH~KmuHE$XXG2| z%DkH7$QZ4KN{hOqeh7aDE%Vc_coW>FhlK>I;M+-gW6P^cUVx)Kv%9*(T&xK(0*%|rvEayWi zm7(1c`$}+(sRlh=aII*RRPOd%3`x9ou6ZBl+9lihL$_|{#0``u=X{P<;JR2Rfa?P7 zi`+zkd7<{KrAWKxdO0*U>g&G;JTn!E8Ixyo7{kRU!dc%E=3JRxD>647|TTRD{ zx;;O855E-D)sn9FEl)Ay(!-aiDS`xR>ebn_&|?*E$%~3MIL@dL87D>*uLTh+N+eBq z#wO2(#=Z3Z2zgN4^J|}daM%Uq8pKym{Hr9{I>6peIRrM2y8v!Np+-6s+tu!^xtK=q-mlG#kpB9XQIL1-hA_o4{-9LR zu#QJ=WXFHxMdMVW8)xr>4nAh}`<^f;yNi8N_InwUrBSQ)37C+!6iXmmn>EUQ$MWWu zC*;mW5B_gH5wI+_<%o#`Q}W_UE8Qjw)Otl6isU1imdX$)m}aJKm&o(639RM>8fW`y zf>}YnBWs-4*tiL+;c37_1QDvI~_QeIHw z_(--s;<@~0u96=IJU8q$eA9&918+|i*jc837)tJYYeuj=SRVUJD`6wH~(b?7x5l`9%%lJK4g7#o&* z|5=NAUv(V>&L%#3G%Z(26xtVjQ(nsWw`nWv$L6JZ#2kVS^ehdc?LZ76YB|l44#q3 z<<$jpl+UHLB5f0c3U^JM`VWZ!m%6qi4pSS<>zPROON2KYFSrjnRwV&N$HD7SBu6)7 zqaxjP{h4QGJp~4+5oXGZa^%1M<=Qsgf%m%^Y(qVWjq#E8^<7QSH3Rt*fvZ0#m;R>( zh574N>F&hP{h<*YU&gH>Qnb^<(b9q9G|@VNO{kA93A9KDCMr><$=LSA_PeV%K|#(9P?O^V{2(c zpy?@sS&MSwg55IEf)6@i{XyK|9Yk1ywvu0i4H**@uD23YLR*4Bx@QSr`!`?6vq-wRGy0jIqM6YB_Eg=iB&lumtWvZzc9!PG5k~wm;L`fzQ>M-q&-{;bT?jXz z=q+xB_y-9cRr=xhR;9Yj%0|HDGY*fNO@Z9KAd*awLO zlBAb@jZKdhRqSpbEaAWP)SfSsp*R(grzHRkTr3#wetfV3@wJQ`4Qp)96wxqc!6JnNZly z;;)T-jtV_@3Q?32uJ3&kNAsItsfTeHj&4QaJ+))%m@lUS;5p}q77I8#Ts=xg?AN-E ziP9+a`+s9Ynl|nJQnGM&?UqXB7pyQB(+F~0zXaOX4dD8yUL&)#bcvu@%!@wmH?o-*4d303C??GBi|8x;Os47%xo`v7(uLPaN2zgNb4S|0tKLm~ z*CV2fo|0@#O?@n%GWe-|`2+CX`zB%=*;!7`3hn5se_9L={Do2Bqzg>2?@yzZI^>3S9i+N4BkN{{& z8X%PfTCND#aczb^0W~c7-BVztckCGFdCTp?iV=6`wu)PpVN47MJHM0Z7d@SzjaOZI zj3l!SOC!-7IwWCL8XEl>Lf0-Qt@qA$+Pp+YgN#wmGGJypV)=1jx&M_h=tUcVrP%ps zU43F!LT9EGFm$y|Kk3r^U6(!hv?hW9aKeOORn%t_dwU#+;(p-We(DW&{w`)oHYcn! zLK~|m=zPu0BoqE@Z*6shwP2aEY%Kt__6<}QRobFF=3Q+0YDK~VPoBjH=av(`kv`8H ztZPr_#$cJ|CLBgm*u*xvYWeO>7@ZE4IIHSR;acG)Q|rzUG4WATI_2kP_r;?GxP?P(bnytvd!~)9MlpeaWIVrDV95cbo81o;y59S&8 z@)5{KWNUJnx=NkNoTjO~MC*NL$q<^GLb&Z3{?mH%1%yp!22!!I${Rn648|!+>0d%- z>bOOE%cKAi{_TuuGZ9bvdIIB42c!Zta}$AStYXjCioqYfc<{`J4Lo!Ei+fF)78~wY zS``k#abA{iO6-h%*e630*^>95*lHe(o6JU@JR8%;_cDm>tcm;lY)w~zjoo|mjRiGJ z1oU8x5ZgKoAA!icf^W?hSSC<=KKz~E`F)0Y^cW!wvqHP@4P|rp&SKD$hCeU(dM{QelX~$bA&errgf8U^Ck=)fXQNKp z8D8fJaFV>D^}LIG6o#G0)!V-efr7$!+YPOSMNuk)`oo*glWzxw;|y$-m!KY9P2fLv zkF->NMNr0XGE;WD70^8l$?%EQQb8y10()<(vKO-agF%{+s;P19lZ)(U5e%8nTSFG0 zX~zMWUf<{G#?itX(R4_5#HG)1vF?i;3SEmzyOAT0JyTPkV8SIJDq!rtYAr{`c7l6O z8mvPZnS{ejx~rNx-O3D{it)2AwnGRc*}pzyrZ-3sJ*ET}I_E8I>!u~}ti_w?t9L@; zW1-cc0eLYDLxz0aiO$W&y;b-h_^Q?nKp#a@0+`$PpXq#&PbP^w>NQ`dU5YUzSAZhV zwgz5l%*!i6E?j$s8o{CE<~$b5;czjRGD(hq3SGQI9M%WiO`iP~+wXM=x6w2qS8t3JW?01E?>bxyh?(ltAGb{rmj3k2_IPpGQ4c&jr+Tcw8`i836X*xj9HNNK)pV> zXx(;Hmk)xht$5XIInIweg~Fc6r3_{=7d}Rygf{GGt>|3PF-|P%Jvn)HtV9fo4>F5cSi+vK+?%JqyglAYbU)*ff6rl_$^nkS1^5qNRpi zQUQ}6UGwdQN{vyw8O?8Xfnl&iq3Oimwtr@(R*;d79tD z1-6L>CaF2GDcpKPC{ z$oBz`j@yO8mDs>p*%xUi?yDwg^mHRDT!*ocPX z`J)|Z)>v*n(r#u67=9f|@2s(ZfelDPkIE4S!U${)klE|_o6@lM@ktp)Jq9)^Fj4i8 z&U$7H>C$0?(;KCQuFpgL5HXeokE4#cCIfrpeog;Iap+g^=HgsrG6DbD*4BbQGf11u zF5C|c(Im@VhA$~J4&Qn`A#)}2)O%C#pNTn&$l)dkY4|Mr(zlYnv4Z%Fz)!TiCe_vA zIgjHZCNs(rHQ35K1tMTxhzEHw`I-oq5a_^svJ5`1K1e*!^eVrZ+`K5|WA*lh4wJc6 z-Lat)x$pGccj!iOfjmpGO6IH1Jt;4#n?U(WsTfsTwav z$YhNU{rixCHsxyVu9j=*rJ^gkvI{&=#`<@9UBF-QpiFoVP;4ptGzv)U37LvUQjU)! zAEKMUQwdfsO=&O3#G!+S^|0*_{Q0QGx7re+)V8a(On58^RvhrJ8Zvy0g3%w#!U&M^ z2@jO{{n3~|L7tQ+;02p2nfzJhdD8Ku^8l*Sm7eTSLNPZJj*&%W@Yk&9AwyD#AknkO z#v%D-;&NQVA1>Sn@k22v*k-!!fwd zC%x}bYJk`|CUIk(-^1u1P5(b;LzFM&VO#O|`S>X`p4A~ir!nqou~GC*bb(8JrWQcV zrHt?Ue?HaL){P@x6h7!y(KSaGnf$hj9)8{q@c1-(GzL{1;Lf8S>U& z-Dkp#Gr^~!{%TZ6?U)29AI_gVYU*i2+14Y_Kk&XG?@`s}-=vWb^4`p-AFQUveSB(T zQaC6LjitwbHie;5L=3t(h!4hJJ@bM`^r}l0KtV-{R-3KkG4Y-Q1N}Z(VrNP8yOy#^ zMcnIxC-;{SwdgDG=?oS%H##^AGW({w4(WI;j1?gouE$6W!L)$eeP7pRlolT9HrkkrPuX z;Zdc&a zkvl_ThPzoCYpw~Op0-?GljwVw$+Y*T-83WhPa{yE|v-&AnLD<55jl0(Z1ZWB~PjR)c5srWuBAC-pCMp4VoNk+ULR`E#Va zQ7h!papWDCmrLmxe0cGY2B_~ec2@$a7eD4hBW0fyVD%1nr^I7iK#hPZcY{$XL zfsRKw|3J@++WoJmDkhl{O-AiRU|sUln`Pye{qK=Kis8+(zqWq(u(MFhQmjddo|51G z&t|g)02W}tW6`Oz_A`z!R4hK+=FU$=n`}8@1BBcpa&3CB)l7I3Z&Q%uWJGH7w5L2S zQTag}6Um98lCKdkxoP3sAMuS*Fc*I0BXCdgt6Oa2uiJ}X9@hMub&|?W48Xi%@V6Dv z&qK+O^F(l$;@~CQ15VwL>ol?P@m1R_n2~=MY3s6cREXlX-4q@3GSp0ZmvHAcuYuIK zGv~*;fV0)L1z!EnV@U6O>y45{U7f6BZ|l{%@ss)0J!VYQITEicH7&5wu0ll7bNQLB zPTOFon7-t37P)=(F$FxsxLr5BUtSUY(-%Cr$4{LB;FW%$4O4djo3HL2>wVF><5AlW zQV~l@#o|q$G|3*ZMQiW$c#dRHzw~ZKVKc0tZJS3qkP6F6;vPRn*f|RC*CA!6E-n5k z5g|~n@2O*6aFL)D?fGOg?Rmn{hvSb_mDHEaPWIiI8XM zO9q!4Z`6GcZ}RFD3zJ8We=HORl+B@-8dpif>6X#waN|aqj8wo@k?J&(x&&~qO3stEC1O;#g^)5~VwFKjh z2Q)H_n1tjKwU%LqFSKh!hFuS(Hn(QKK8Rig@d9n4 zXWDq2>b$z+S=Lp1<=A#Qb?x|dJHc~yY((EojJiZvB`O+C5}vK-H;WU>^3YbLT)oaB zV@4Kbo0XhugH#|-@hbZl%b0SZiU_!=pa73~79b&QvV~$OTU+?fz$$3cZ9nbPC$?E3 zkz2{V<`WmT2WP64te8DdkUA|DOrcmPzSkm*6^c7QSw4lx{8Gt76Xq{#n_QOHb6u-w zo>ThX_f(E5)stmW*9$5Shv7u^K=#`n4>yZK^6?NIo`lSCGY(G`PqC` zPdm{>PrvqHq+|sBxQjqS&ydR3*99gg{NJZ!KKR;)*-ib_>femYdrpfD9}!qY9+c(6 zTU!^w>AC}rilRCtEy$hUoMCqw{+w=!){yR>Cr!sjVOc0CCEX5&K_;)>p}7*vcrUUR zs!xpW9u~%TxqWnjG?`6LgyXgO_uqC9YsFC5+xwB4D`VH!t!d0M(Wj{tn^K|$cQ$!RYPfn$-rfoglc<7G%Id^p`?}Ho zzOXH;>h4D|y;?=a9^5JwBXJ>1Zw|6_0u%X7 zGdj5^ks*tgJME0N!`!;Eg86h`zz$(cW^D(`6s8i5&!BUCTEazB^o;+A*DAhTwqH{v zl0>bZ7i8f!kAI$nplH_0h*>6Co4aneUIfR`m`m_|k8oX`RZz-Y| zJX^*+x!ib3Cw1lpuGv9sz~;rWAzTKm6A}?$RrFqKmRr*6#cs_?R=qzke_d@L^)_Pb zYu?}El_wXY68Q((<`icQQQ^CPy>#o?r*vnEH2{YQw^m8|RuMyl@&j z2SqA)740FtLD@qiFUo<%IEoiV&&QS$Bfw^-D`nnpk=oA;q=bAiib7JvYj%YSqWT*t zRs!KX7ua?3m-FtgLJCR|V_Kwdvafn31dV)*NEF-?Bcgnh;3fC$XFgXb)~;6DI&Wblo#VscCGWPbsV2x?ld)Kw*BDem!!MY<9U24krIMqN1 zw&PhL=mf7i^x^3ev3E?lvWVM<><#Tip?*JfO)261ue1CXbr+l|RT^(>O(&mw*(9%7 zP->TttC#h0Nk4R$4JTXdd3~rKZ{J!~Wl6f0cVb(uwI&%3@Dg@w0wxn$Kib{5A{{v} zQIs3U4D8P%u4R#QD4(z8@aAdkQi-f&pY0K`+-&bx;ZxQ3Sg4Qr?VV}yGw~d%W!76L zUrmW)ukg|g^;x_LDQRBEH@>F`%~t9aAC|PGtt9~#jIc5#K(>vR(os0aLs62b_=R3G zh{7emxQ!<5aSYX&Qi)PSNq3PjNW<22O^^U1i77+#Tc3Umum04#$txRnljL@a9xxFF zMh3%fdJmqZD0!+e1qBl$!_QLk-N_;PQEVs|^ zX~z>uqYNyQ6n`K5nSb!1XXip@bP*#9B+gLfbMT)ZAahenJM(sDIloIq(A1 zc5%?W%FB&NDaI=>JbGz4mdKR``{(1+Pd=&x-}!T8*B7d3?l`bix4MeF*yuY5+V7Iy z1JbR=yKJ(i-p6%?yALT`O-gNhkgcUHlK~KF_Cx0CK{GwtmR#d75erc{x^VPa6Lx{2 zh7II{?om6INkO=A5ikOjFi9%eF%hze$U*W}=R?yBds>1JOX(4B(~OeKR)9dBy$jmd zUV|5K?Vt<*5=eJ~3np{v@`{|k)-(Ylt=VNg(^chw)~5rgpJf^^^hTcWKQW80;Bca~ zDxrQD1z^8U9HMMlxuM~f=BfzU6y=S-49qyUOXIafaacEwGl41OeRZ)-D+qg(FWd#| z4?x2cIMaV9|I)9Vkl`^$6)SL{JZ*0{EF7s8*7IB`A^7%jU(Ty$M|p;$g{5RG`yLDU zvW|k$(I6j^r=eK6d>tCavb{MFqM}Q_XC=A{Le+Le$G)_VwA2wGH1aVte*1_NIbjF( z9Bg2avLGUEHqE%2W(d&`lzMF&fJE6i8)zyX*zYIqDq%(@)JVWb!rZj5eKa4MS!Z;& zAU8Ygacu8xG9#D=mdTmvTQg#ovvNyxNOyTr;nvjMEnjlHu8N34IX^SgC&i2Mf7V1)&EL3Bz@dB24O~m%2Q?V_!=6AY-8<_!+T(KcT5)O_1W z&Dz$9BWC9#(TOtbay;Uw*)r3_kJpSWyn`P z{=6D9PfT*Pd0LJpcId-5Pjp~_B5gtEfX6)R7pWtWtQEq0DzA}#*ICo#4c0E-8Ec|_g0dB_UoJpa zXCd&Yq}b+z%d>@o=M%iN#QR965=<=V1ZNz<*x2ZiV4Eyr}!yc}PoZgt9RmDfjYV?yTlYs1@x8c9UhFCoee>ya3W#m3PQ-gEsrUN|K<#oZXXh4;VmJs zVoGl)Fiui2$I9UOLY95%a^YTJSt-t!Ia%<`2}C!!w-{P~9(tV><#C5TS-!-j5o;m4NN82xfOf2?Pls5q7NKMD2~7D2`x8c?lvkMelas zMG=Fi=6X2_g?|9`2(g;*{?F8QS0;L3vOKP(R+SvWVKe@ukZh?;1)6LNkd(GNDb&xK z*zBs;c*7x<(qSWuZweM~W(PHAk|E#wTKlx>WY$l*=+)h}(~)7jO|^CW^EBW8n&Xrz zRx#;bc1q4h9fl27#*lbt^+wuVt3@A{!%2l&N{>sY(Vy7*%CQE+y2&~YL1OxhlxkDT z&9GY?f0-Kd5a7e3?#JgpQ^ob7zES?^9hpohQmf_8`!84J@s_dt0qCR~$3F(Z^CrEs z$!+A>*lPew_Z+oG$9NA>+r0wit$)_me~CBe=Pgt8ssW|-ll*R~x4(he^GM*yZR)UE zHA`-AasyBz8Sac*rJ9Buh!>J&=#r|)HL4kCu9;Vg-)|sUF7Fgu$&bEckU|m#!}`_5 zSY6cBVws}cy$v44@*?>Zu9VT2$!m4%e;MGN;Qf5f?Z{@O{c`H2UE;TDGAqi5?h3&3 zCSDugiVWTOx@$NjIb5xWy1s3>95;o~nctbN5Zu9iS5 zn7pwEXUjCn1`AB>n>;;*9$93SuM zu+_|zKTN}E>rw-BDR!B;H;u#p8Kaha*<@AeB(Hr74Tcf)9GfIFJ7!q2r>sNk*jrBIX9x>Cbj^5AHaM=5DG*0wZm zMFZ`nEBS3m&Kh@0W=Vuvbk1tzs0gKSOWG|d;W5vZ-ghs%E#NMt;XZw#f4nwadinUb zkTRWI+Q|%DmdaozBsNP`6RdvXW|Lfya{u_gObptwYw&a7rA!^%8(R}S;W|^}H!1}M zpzATKWM{Q|2?H�MHpg zIQU)`kG(*VX}E6I9GK+~d^NyZfHDsCuxM0UxVz?SA)E%rZw;ySk^5axzMgp$&}7Rb zE29sLEM0-;F_CiT$mJfu6f7NFHN7h&3Fc46s}Mo#KH6wCJ(_pnv5KD*GAy^s=??)L z2>=2je1p&9Ia8XSm`*4Rx!-o8(-ktkFM?xxgE8nJ1iZ&c#nc5LDtXQQt_BqxR8#AW zfgshwpXIxGBCC>(YK=Wx6aDL;S zw+T^G-_c89xG+sw3Wae!9aT-Pccug;l^}r zwvN10JNz9v>gA2(V)`B!31Phtbx+s8XJ>5u2s=9ppuur(ZV2#!B~8%HV{d9$Kj5xB4LEGZ+bQ+Kc5L9BsbmV` zIqiH2@`2#YfuMu=puhk)1>5#}M?Ur^zs)yX&{#>xc@VA&jW+;xyM-z&>V|2C1L%ZW zP7nsQU6t5fB3X~XlSD5IDmcFTw?)A*1I$of9vP;Ke=?{4ARHdDcUEF_A_-s=Jq`6gKdk`;{_!0)d?_O*^)1dCV!tGyMOn1~HT9BTgC zpYd~^zuh;s)2(#k0kNtKrgU4f%B*hxh)A0=EEF-r^H3rrOeET|1KQ5lbO-tz9YyiC zLSbwmRHI-qcbZvH-jyTy^R?*07cTZ~vb;3WySV0|?A8Lh*WaCtO+BBolbzC<&sbs6t2p665 zRpk3M=UNKTI@FHXK#q^Xw8}8>LNi&*H^tjIrb0I6-TGvGfA}N7;dMVJR2hH9V_Qdg zBu7Sm_TeMVfZwhJF4y?;%W+b-ZZ&v7z(TPpzsj&KLT7Gb+{0pD2ZvNaMUK(N&UU}f z>TwVq^~IYNEbU0uq}vM*l9P9R_S!+W`^Ma9l*RWm*mx(K6hA{b3%2r=+I}nauvv21 zR4lTbF}t_9`6N^JQH6AgpSx|xQ}HA?`;3eMoH-^TV7JSU#rF^BhG;9gH#1;6BJFTa z&$){>^-m!|!W`Y-(s``FYH`KO{GyA+pp9?KY5vmA8<@Kqr5%BKq|-f_VX9o zYt2)J%U<k)+--~eg5 zaUsUy$W+1nEE)^->Jy6v-W|X0!!>BG-VF= zFS}brD79}JcdNanOo`lu4ZAj20}%Oo#5(ZFLuyc@bCtcs@~jY32+OC}X!iv}wTQiZ z?#))6Wc;Xe6VV_1wWNV=MPygp{!9-9(<6)@*mjH*!K_oMtz~Td7T+=!p=X)X3#jy* z;`|77FyoR)QPz!KPCiYkIus)-DY%~&al?^ncmDq_wX)w@F4T)kPpkPDMKjHL?57i? zrl>&k&EmoP7yP&NI{b|teMJCjL85wj*!ErB#nWCB_n!BiArUvpw%F~ZL=7(~s%`x# z9D-po51c2b9Vv#yDOtnFH~Z|wUMQO6NUxFei_4s^w!d}gKDj9PM&%&Rcl^rzuY)ky z!et+i5ORI$-YZ{iMDGN24gKKS$I~N*ZprfYeJt$lZ#V$0mc)b=UNUx*GuA2l~v;z^2|wlUHxD zE0_kUSyY2Eg3RxXQ&Oofd~1t6Y6{Abx|7o=XQN(aZTi|V=3IzdJTU#>am`HKo12Mw z%K;k1+6DLD{-$cF#iDOTFeaqkGS9n<2;KsR%RX6N1TzlnAoz8%3AI6>quwe5TSM?~*f(Pwa&~W_>arxi6z)p=s-rc- z&YC$q{YiV4ZZ1)sBf%Q_-Y$EWCxhQqFTD3lW9@nV^nIfBMwMH7)1fWI^ad{}l^Ad_ z&b{`E@`hf<6iHO<+A_{XU6qK@tACYADX$RiNL)^SgZQ?*K2}yI^-Zp`=X*`n(#7B2 zKkuB}^vXlcj|Cz>Cyft&SpxR8ZvnlPv#fCsig?|t0{L5aVNSW`4AkEned$Q zxz-l;T(44c*$rT>uoNT!ldAcG4*}uu6B5&FLhAyU{*Mp?fE(B#g3WzJUh<2e;~ZO8 zAJ5A+G3QoX>(l14XG29Vu=8DfhBcWUCDFMCKhzgWgSo!V{_xl`r<9N z1b<{`diwCT*HBRXJT3*K}QY($cy+dmLqZu(I1 zt7wDk*E^(%erTp0zEqA(j>@XPy3P+>R_y0<(zAEWLW6RbB#Y~bEmo=h{d}Xe9SI6; zh$N~x*;fUra9z4(`U~mmR0!5s(7Xm6?DX%jv8>qN?hCo6gqyE=l%eP8r(BipDh2 zQ#$Skoo!$@E-#+6f+z3o*0DFwiKW_oW;*r0e_MP;I1?PbK-P_FZ#EaC2qUfol~BzK zzyvc?J`dch>|!12W{N4=xp~wM$t+kE35moU#ql8zcu+#W@lNPH z;W;S$lC7_LJS~-9-uQ_PDR}Va>ahFs82jg((xtQA5ElsAww@PMrdK<6t(P8MHU=(w zZ{)d*IsZIFSIQsg-T56)ql^+yD&+aO<)B0%iSKt1nVkVjoo^4ts`pN#l7CDuhgM_T zR>G#n$~>BWTkSoO^BiR=zB4kDo{%>xZN4$qlvNkwuh?_<`ZPqxe4#oE5Q7CXOW(Bd zQN1bRcpE&h6gKkB095>+7(}o-g3m;=))g)0kxRWVNqm(NId~jjbRNo%Tr3%4=!v3V(#xs(e)}544UGlo4@re7O<9rV zW_$DwL+|qo$+*(xc~&7HJ5Vf4bc=et(B0C1A2y%-IZ2-k_fzeOSfw$qRO;#`J7N!+NiNB7gI2ooS_z65&g(n<6 zMpQQj%d9u4A7g+~vOn<9;H2?>_1Zc0$)KncW!#(c@5wk`Un=U?!B>beYYNq%+88M7 zcGT=HmzG1NqvkR5(S@N_p`~0d&L`!+n5pZ)Rm|_Pi~NhG=ixraZ886R#3pj)oP#&@ z!;aWbs@?TQqhY}6^ubv52KD*jF|u;sTzXv84H1C#)TSZX&g`8jke1< zmdGb`XlMedA*`a8ZRV#nU>rJye;iy8>UN^8DjTEiMsICs9QS6f0qw;fS%VEmh?|Glgpn;&yOJBd+Yu>HESk=rM*C zdYU0Md*NxJ3qLZ-Y27I^tAzvDDYgjc1E=(m^#s*MZ*8 z!VGjI1a|;HRtx*{+Z7bwawy23a5#=xh_XJ3G|f7blc#b^aTZJ>jckL{iJq#(dxpki z1za7IBql%)6&5!I#c6KutBGX?QT1_fGp()$92+(WW7gt#Rc9Ll-qGDNc)0j)8egM&Np266MI{#$}OrcZpt@hEw26{Z9i=VTqEX^+}xl2!h*kD0W9@y39foVwU z>zVJOdBaGP{ormMPYw}!eCU4bvV5^h0IbnOC|H?dj6Yd4pd;om6_(GPxP6n7y6>d4 z6TKXDPRYlMbnJoMIDE6w7pRK1qXqy-EotJ8U z!<*7iYiv@r=u=h8Af1EZ`F+`PXslk8jI~VL&{z)$wRhqcq3~TTBF+V}`h@G;C-j`5 z)Cn70FnB`_H}Ga|SNKj87pU_*4!cX`8P}T6^r)Ixk(6x+tdqopu1CP-mH0mXbrMh3 zt$Xx$GBS#-zQmaR{N6u}j}VZJo-Iv?>V&u}t|c?>T@1uxAfr?A=*-13)3L_~(3P85 zJc9O2#Ik&0&y4|Im+1!;&(6>~=aFfRM#wdYRDI`q^^nFFMUD^bn|yE3@SygkW6x=N z`JE^`-BP+;=x67?>Z!qtGl=RMnzcn3A88lRL~_)6yn&`aQT>I{0fk~k-Ykp8ZRSt7c2 zqhn%|LC=;>3Zv*7o=r;ym9ic8qF;@^jPi?Q3ej!rJRzu zT4jGX?G&B#ltAXs^6b|CT(m&|85z(Qi0S<;xpi@V8YK{b@60h^B=5%CIZ8*SZKUW? zp2KFKaTUJ>VdQs_kw5CBeK7LvZLCXc&njTSHKXV?Dp#s1lkg0bkepNuGEV*+&W3*# zmKJ)Zb>Wv)@3Wy$J>S{my}LmMj6adu#;CIF3Zo8i&W9K)KmvD2+s&qBzWGcxTZ^Cn zFUxjk9Sl@z`902Hff}OX4^W-zy>xO)uqu4JW7-EmbC`Lwux&(afJZ+$8xBdB$Qw&c z6@QRxJeVB~j)vfHf*tU4TO_!MV%Tnn4l2?)C6ilrcgSYN(CIa`RBe9*63|ZUI#E%( zJz(iKi7M_-7(iiQ&5|+KktaW-3>{H$Z9-;2v&u@}Pd(+}g=EiHR9hPclzQ#Or80X8 zcwnn+FJS|~kJmQRwAUvO_rP-fs+{=W@cB7fMnYcU+9IJe z-#~BVt2<8c^H0f=312#_+v&Pj;pKzJJu7;Fv!!rT9}tUW-qsgXXFE5}0{ad1@)q+0 zn`!0OZg*S#{2xM~lvi$2t~wZQU^XB?rJQmh=k@UU%g@SxB^boYC2vk>H;R9 zZcx0d<7K9Wgj>j9uHXT3a}cxwln}n;DC!8UJ3-Y%s8LokDRik9Jstk&-Y3;ygE4Lt zC3Ho)6a6k=jgd|TxDMc23t#;Zv!=@*^%d!m2t9Q=i~GSxJqHEI1vvm~=WvNy>*^#j zBJfn=K^vgwQREHHX1h`SNV2R87LjRzNo3Mr!wuq=?fjuu`k^Fb_)5GX4DT-JxP4b152znC@1Ac4)EcW5nEJiyTz!?~!Hhws68so+qsp7}%*E)iYj6q3sNblem>rQtfr~JJv!R@GT261BU=SohG`@~6|&MfsNa&V`m-n{zR2anqvx>fON4)V_84ZPO20l&Q#a821!W>H z!#FjhmiR6v0~DH9p7<=}Dq$m9TZ^OT@00I|bdTlvTm3e6-gSUyB~;a68hN7;Tt3c> zeo?>R*j8RdwLBk zhH*ISVH{^zml4`2cYtyYbNwQ<{a10XL9=#8gRjiJMLq7-jd%|#M3n>)5x`(Du3iS? z>$xs}!ty*=YM_4atF|)v_ZLp=~m0P1v4=a zo6G9Y3G67-qru8`h^pg&VtFbuT_l!JyI>7U*lYW2PfQx!v0BOzw@a^G9g;E3mSyrh zhcJcwT?s<#9CZg7pTHdf0_Z6o_S%j>)96DlY(9f86V^E4{$$Kpp-2Est5J^XhP^-u zFgn^P09)H9#!}Qh4nMUt2vl2)pk8$0WXjIOR#Jy8c%A2E)$jH}{Q(cUn*O!Ua?2!X z4yN!=-*l~m;{jv&yv(rp|6!%MI7uD9b%cUZ^bOLu<+``hh_rD7Ee+#0P`Fv1yH5bk zMc;+ITE_e*apW#E*mFr4t3074gb}*cvEIjJnU!;fEJz ze}3bL^j|jo#ecTIJGY3vK*#WEq?b6Abo_T2V`KCTX^PJ|>H)ap;w;+u6Q zvB%GLKJHU8yuH1-tC5E~fBnXd6;L!>5VW6qGbFKnJL{-rF|FQaMZW>G9cydVs8Wnr zw#R9W6>7h~&R=cn!U`58K*EU53)RMcnnk4Bl4Gys^4%6cXJHI1-=Z5pH2KnLO*H`) zsRgU1(OxQhpv0cyyU_kFm&hBOKcy}~u0Jc&F7(362Cc6jV!WKPte9qX-It1O>B%B= zooRB*Cf+r~xc@(J=G3MmYJa^m61#;G^{sjv1r6~EZ=;Z&x%q_{>xvWV>gtK{szY(W zmW`&NlztsY``06}rl{Ws5{RCG9d}g>CB+XYq&-fLUBmF4G5Xs#sH%n{9*unng5in% zG&Q-C2(3;PwfdDvaFr-*&3;O;e^a8(Kwa}x^w`{Y@OB$MehF*dM0Ohg*|xsQ_s^1! zFN;~^jI+JG)kTCY{dVz}$TwzL3#oU)ebH)RlAc_`|f#u zdW*BQM!DNf6)k9>J-R$-)oak9cnm1n^zzDoZZQKXWzhY@5vNA?^c+AB*-_eUk4y8C zGXzg;lXcG;4F)+z?C<700K$ykOj`{%`P2F7%bt7rU%tN;t&QhW2^-Wo!-}EyKg5o; znvjG>?KagAVC6T0{_K#K!?7-788zWAvGS&$?T&GjPf@L}=ah~O_3vF%SE|~6GtGnN>}9> zXb}am22SIivz;Sjr|>!nIu4b$FbXln?S3HAxU;yP%5?T&-dxF@$9N&5u(-8R?Tm7< zo3-WVp(X7n{=-dvFX@Q6LASE$=P>1jQD?rgkBe2-FY@)%qalF4;jD1{LJ{|aQhHed z*r9c>`kAP6nHEydKTby8qPs=jef1##YCQU?`m%})88uH5xbiy8LR$bLW!H+m2)e7} zP!**Ivs)$7w60i~=L!sCNe%Ra6Sf*99{Y&j9JcSgf3bKk<~?W46Hj3CsT>|M!Q+w# zcVNeq8od7S$y5FTc*6HDKtBtV9{I$HCnr5ksMF@hHWfQ}_yrfJnR4hOWcc6C``gpA zWSzxE9ZeR?J!Y9JnmHJKl4X;OoMrM3jwja-(xg&y!7!i>pIp9tz=Jy8fgR)3+S0_ZK+^0=Nw57s;Df~lz^mwa$)jFfg)?Wh+e}}B7 zj9I7*GT))ll{Xf75?RW%?`^OHGteuqoETp%@-ieT7f&Q+%r8gHVZx%Cg@ok1FP}Yp z@0HH0Lw6rvVE*!IS5`~;zMt#fxt=#1v$@N!SoP@NlU01R=Xm%2>IwTY?<41~ee@+M z$CaB_q*Z3k6Sq7>#4w#ab8tj)?D|@#vxQj4uwC!1MJ$27)$h7!tFM0D%|d$+Lw|JTPo`>nb)&Rb$GHkU?jytfJRQJc z8a}`4VO}45vnX=&%*PC+r}N!>#xiPTrgIgK7xuq$ zXsfK+jP`QqiZ%Z=`zr^KiCOt?JQdt#+lpV&yc{iVbJ?nBQ((PflsOgG(ffZ|e=DDG!<3 zBQ2??&Nv~=EtFkLvRhNnyC62;z4TW!>Zzq%8FRP}85@B!Bv5BTyJSX=_d`IP2wa&Co`=-ZfJ#i(B{^4E0U&fiUURin1OW@OI1 z>D9fq`=r|{4#XI)UJfjyS`*DEHpDu#CJR4bRo}darV}3d_+;Wi%5=*S>K~_dg3gxK zuP3*jc%Y-u>Uy>JW!a-A*5fulH(kPJJTQChso}LaB0L1@Y@=_LILi(}%=_h2EbE&M zZMIm&Qk%c1v=|#(Xl=iwq+A&&w^FB(x64_PuGO^ZfIzhB#7E zB5O1}HdaH}xT(}zVC}wI_B@%OLt|1a=Cs#I=!+wGMeuBG8TJ*?o)~B*j3zdovdM8L z5_TLL9};SV{sfBnzmPS>+}3CFnRO-~n_)B;Vzz4h-7#w4&7`tuBXVq^R(!|J%!!J@ zV1POxibSC{Xnwwhz$mh&ubeEvG3-n+La}5JId><8gN^osg0`lPN$}=qnV^zt_L%c`2XVzX#)~NCbJzUk1^5V4bnOHNJs481v>{|kk2XV;0{ z`9~xq+`PG@)#2e69L5I*1Q&TT`k!iRpDMxlow}Inxeqdcd}Ph_)qyK@3m>X9484-) zKHsx%>?#P>tV)UN&oXWZPIq$9$1gapB}i^sh3TCYNqC`CTR>a?)*W?K=k?JW7r!vi zFZR^kJBE*O8g;o`Xv2dMo~2St^7e|Z(}=3KZsb}>Sje$n(p**Tzv3j?TgpIVElpf{ z<6fdgB%UaHKKDB0&)!^#w1j5X_}*Nf`&Y-|#1B1f9}5iBB|rVBsT(EU%oR*L?1X76#)fcfgkv_Se@gJ|{sjCp5jxUIF-s}|* zL^;{4x(^VWQyhcS7>f-2jBC0bTYoLJZaQUVgxF;`{bGD2FLAhbIC#jvNAnq(59$8n zO%e1lVt9%+uCnO1s>F_aENXNwHU`JL9jy_ySjS665V#-lX=mn2`a*mInaxh(Vr9t_ z72cFb{#d_6&s%{EiI)+j6cB7H!Z!T zzR{AaTiLR_b(_i|M;_h4Y%g1D_QI07O~Y|6hV5|rhmGSF z`+OG!vuWFKMZbpm<5o)FJ(u_?-xh&ezZo`JXzR!R=j3R~gkXNeLjEx#Hk7HR8xz)* zj~cF-EKK#Es`0d*PZ>}OUe&BXXKfQ(&2J?+-5$lAum2;$!1U88K~p0v+a`Bf!#|0@ z^hl7NV}M&9l*|KCrM*&ev#0T#Ode^|Z*j$Ye`CYp$g4j#|9AF3TM1lS0%^!6H){G< z>s_A4ZRxdAj?Zmz<#L)^o0(lw{mv5GW0_%oDqoQVUaUvKGHdATb8gg#%hb1Ju`CP? z4SD2HBA=c6UPiG-A-?s@q1L?n`rAhJ^~!Ea4JDQHf@8`(416flS{gnCJFw=NX{v}=&(G}lviH!k6o~Kxm@oi-X;!ir8 zroJ3)e8GQ*a}EfL7Fgf0#kYMH>K;L^CE>}31<5?@#I|*7T*}(pKQwypg-mQefO_)cNH;DK*`A8qF1GA%X}GBWf)ROI+-|E=566U&qhG3Re6l0{ zn#rrIsI;_Ig3v7yYq zLJkQ+mVLLQc+G>ewF-ZRzSa8r?4{`TR0y_we~m zP2nfCI!+{vBNETgdc;p5UvGMCCn2T6u3s}kzZYxwlcsBQ)QW<)*lj1GcF))iB+C8i z%}gdL#|gQ6zzrH6qAV=8u{dZ*ag|bRP1WIkM!4@43@IE(HTT`zB?SfNnyrcVt8*&o zp@84+b14x!Eq3A{)amPnoJ;;N^BVH+!OQ#V&*NhM{XvrO=IrdD|NV78K=NRc9=yT& z{0QoQpGcl%{)L?GpVzxfFB$*)KZ)v(jkOEw-TIPvBXes1Pdvj@r&%KtW8)?S_BXfmVQ?MOmv66SE*zc-OZ zCSgS5)34QUT()^>uEb;8zWL{GE2g;(P<@}W8l6}v+xz=kA{16d^PZls)D?3xGcF>> z!X|OB!|O3Z9eWln06ft9*(G2x$$#YcZi$qjU|CEd3+lFZiQ?G)MrrF*b4c5M#d2xw zj2P}y{Qg>+5Cf&%i!gn9?Xczi-Zp`8QKO2w#&`7u2KPAAz&i1r&YySCgXr)ibiq-w-eDvOeVd!hfdhTijkWj^$I_M-c^q7ff(R%#k6G$5S?lTM za-hG4v1y{HZz$6{*I=4GE#&@@x!u1WeoM z@jBP2K8=m(32lxzOv5e_LvP=7#k0E_SOM+F+-Br%U*M5g2vZUsGVD%OT3v1BjG1wy zsqm=ox@inBE@FQZY|h2$^*RDb8N-$s=e09e!-fT}-_0mC2B-3rDIcc2gmT>M>_^i$ zx1S?y)$bmax`S00vI@~#ib7HHxn5J}cXW&k%w3$H5BAuaWFoS%Y3A|<(b3WIFedW# zWoBiOd4%s&>c6M~vazNJpcp>X!T#i{B!%$o<-r2u_sELj>zF%VJHCe%NGUGv4d|h5 z2EADWnFb2yZ->YN1mpG2<`DUllQb^}6%%)Bi6IDyp8b${nlWFk*RdU~WFFU|=Ot_S zt`7EC8Xl7=? ze&!HM`meWFNv7(@VZ9yFJnuOx&9ti1&zC0#%!hhhmloZZK+v3#3r8mY_hn7Lqj0R= z++M}!{np-1xouD!7X4j}V9K6(gx1=yxIs0XJ_o z_+^LUXQU~`cqfimE7lIzX&RZJ8djft_|-iO<}6}eBY93Hd-~R}RfqE^)mvXpP0fCR zad2EP4urX|-@?&51+5$kl>rO6mAN+iNrA$*CfC9FA+>wK=M|I_D7yN@7ALs%_V@)=iHZ&Jdb|-?P}tZ4SINU z2y!eIshYw>@N~)#wGyT|(Sw_1L^H`Hzh7wHCh(_3pVjO$@5+DDi*jpbi6D37;0sPI zEL2CR@f?gZ0zG=Nq>FJHy1KFDnRu8Kq5b;kQO)?*j$(ftuT9H}ub%C$y(@w1S*x(# z5t|FM*rq?4!TgF5HJexyzh1rDy-q7iwMaLd^^PDabZ#lse9-b>}73+ITK#bL;JGccA$-g99~D#pd(!PAN&rq%XgH{FFXKJ#j-~ zTW-kMW2>HN*?n&h-x0&ePD1icA~5GCF25HtIUDYiBy*$2UhnH^EY-@xnamO{zgTfNiUYu_@^Cj?@1C3FKhINdt?zHQE-Ns^2y zb|U62A%OTw&t5(V9-#AA`7nP4LQ2ci<&kpr$JtNr7@@>2^)B@dqxWaf(H;8Ir7vbT zoe1mwGdZCq*Lg7teyUGvCVZ)tn}!RD@3jGbEi~okSzBj(Gi*Q5qM5wfTyQT-pCAuz zIi>OX7;MJT+tq#C5d_Lr`2SOfgq(2=^wSOd-b{^}F=?N$M`aTgxk7h7enG3m@ARZ~ zwY%(Z&&1gBpI@9Ej|m^6-`jkoyk;{2^K1T;Zz20>_4%Fn%W9~u^pcXk(8?%rPn1mS zFEwt|D@AlrFA*fI$+ra0C@QAuKt*BPiCib}9Oj$CDj*j+MOq)qrdv&P#O$o6IwSu~0`Iym1>V14h-HpKYZ};nc!^6XCw$;|WuivNiU;EAG^ei<| z4oz!eX7(j1SHAc6Cj%deZrFi&CKM#lqhoC`0x@x#72O#Isev5Yg(gblX1o$=Nvtz% zF{V4YRs&z}$_!5iNsMi7eXXb9sovh{W;`z@Cbn7&M%uHZddbR$?pLjHUb>PjRAS`! zKFg`88S5#=smydgblB0dh)l1(RNVOam>2D`=LB{9NA%WfbknWN$_#?HpB6P8xxV8t z|4lNFVsBovR`}UeVy-rk?GVq(Mrmy|E`MYAmufCrBIu9ux!LiYV_X>|579x6;L9w# zq{Z&THm5QytwQ;x$Yt7gO|pX6G!n|95Z(mz=J#n75H4jUk`$u&Y*=!T=;|BbGsUeG zlZ)lsw+qcAdoCe@;j3NoYI!@#n~Xam>4bTET>*lw#MW=0-Te=vHJv8&e^fh@5vwXT(DTU< z#qGt#{$aCO#j8uSuYd#fE6OT8Lvz4ft0@#*1{x(!NbrtN?qAVu5!)Owq&T#C2v@u6&I^4j`SgB{t~O&1ws_Iu3S$!4!UZB)D6 zW)pozW$wh`(|3>aPsF3!Jc zd&J{N5ZiSBl~K29n`k*-*%roVHgCmsIvHPVjdIF7=1j;F)j%CquyGmpEZwUmZW5>b z>8wAV;;iCY;$F7_`p6HCzfY2o_&4VF&faV=WE+iFSjtNEm}b*oS@)vXo+fL2JZ<+P z1-!uMnzOzr`sAEDtLvk?LaA7AO~uxJk*Yc$izjDXF4vjqCCMW`_(a^t5&1=wpRTg& z{z^z9$jfCmz6w|CjBVXdky8Ocz^%V>toNd;#hEWjDZFpG=J+DJ+|HWG zTG!h9=^+TROA`JE_*?M%X*3+3vT+SD|wV&9DIb|oh-XCrNlKJ({|oz`D6No0zj#8- z`3TtB!=wIk-`^E5n`=UrPAYkTo>Qi=L6_XR3|>K2$5>tYy1wRhOY;^F;guiM-Qs!E zEbHHN72IZLuj;;j#8m6y8UEBloo+ade4nmqv#GJJc2mT8@sb^iU3Ylg)>uJ(TD1G< zI|3=px_7gVc(K3VNY##Ku*s>f$*W1Mc{`QauD@XpY|`G2c5G!5Z4v5s>VBApYS`{p zk+6~pN@Ziu!dndXI3C-y9~|ES4=xcrIFSaA7b&|BX@#?O$_sEpOMW@kfrN>HTM~jL zw}K3__LJ7s97FYp2@(;wv5q@@Fe-D2Q`fx<5}1Y6jE@x2C;C$n^0<2#jeOD|@)~jM zG;@?B=GApu@)#~fq=|LLd2VPq98Fp#v6#EhemY|4Q`bXgVeZVH+%Iah`(_DFkn4}` z)bVk7?v(ue_JxIAtyVsZxr>CobzIZUizFnyjB@wxJ`$N5=e*MWDcI-qvX$Tk$2H^3 zY(K^aGu^hsNguLyBTRbd*6@97PGp-4ts8}l60hXINoH;?wyWG1pM6l@GyX}>Go6fS zPTqGG_mIf_cBe7|=ac$8#gn*pSy>?t!EU(Y=1yE+YW*URLX1N^=Us2M=Hhc2!afRg zK|MBrY$P{=BO5l9A663)PTF&dVwWjv4>J6gk8$APQZ+s{OnMZUvu2~XI|}kgg!u9& z>xe|e*KP~Hcq9z-lvp_W5z!IqQqF3n6ScYXTadDe5+DxayDqPaK1x~2(+;?Jz=Uo?i_O+1j^7ZKE~XPj60_Tb_MQu!A`D3jSWS}vJJ(* z-_{&rwnp=cE}@?jFgzWhWK14kZM1O}3%Q5LVh86XzP!j*jN(q={H3t2N`HG8=UBEh zM-)lY#Lg?D?%(&@)?%XU=dtFU9xBr<)sWQ!eSunTiG}eHJ-g4#@^Z1M=*vlH8`@)m zWIMQD5O%W1Z~eG|>1goyE%dZ##Ik}~5e(3-1|pv1$^4-BoRu(v_?YiF(}=|Rf4A`6 z0gHvcoYb`V$4Ut3j4(w6nb?et??O|qZJGT& zT8Xk=C>ge<hC2fO!07J);dencE`mw0S1o8^?ch%jx-I+H;%nM}q*I#ixSn&{4K zl4oLEI~pXL0=C3yzmhXn7kd#Can>WQsy4l!UJAVhCL9L29eJgjt>1~&ycLi>0 z5c0x%{qb|Y^?%OFx?)$|EZ!uNU6q%eS?6qgXtDOYmiR!jx}X$oeq|lPmeV)G25TR+ zxZ3{lyBI$5V9X<0z$WhIB=6Sulk2d%T1yH&St0~06Kge2H^5Ru!)=ZmvQ=|w43j2* z7ae`wZ+kg{O9dbU34jdx^TRfNDZ2b|t@zZP@u^0h?Y9R+JKPY;&AO2?6sKtBS*%n*Li)$;5>-701&!9GwLC$3iCDEFr0yVuvZf6HpvJk%!X{c8|;} zucj)+U^;5|*YlJdoIUrWOyg+O_N|L@H+H^}iT~Qf`=6$Rcq1>RB~Q;|r2!lM7J(V} zVMVlx_Te6(!TXus>HpHt$egiMMc5c_+g(WKUfP{5&0p`7Wnu@+`QG@Os#0)$xY7F_ z)VAcgJ`#_M>?+6X3A;VPH}rS9A}}30n|2VIMn6P7wKi)FXE%9dg+`zynn6v)weetw zcA*ujC@aFIqP2Hy%EFVo#)Imv zjN48d7p>V5YYj+9e*fcJ$_K?3t?9pGoSeU(J$K8`toOqwl*2kKcv#mqe+F(5SgSwH z+66P>lJ`IS+7I8c`3V7@>8;3FA>Vz%t#zIIMDEz_A9jqYf&hEA{8aH;r5>zuE8GJQ zhg-t(QoqE9XzUYtdH4P7Y; zWQs|e7>keD)n`JLV=QR%L^{08n*-F9g;F@Z`+`MK-J6|%7cBL6qeC+}y;k0v+)L7X z7)@)w4iQ?UHhL$@@~^;9t-#=~kNP%qn9o8yc?3o^GV`ckYz0bTcb@Jx0Q#a|4 zKPUk`yN2_tLBy>f>9~GsJ%Vg=90bc+IXp0&0~S?`+NUW_uYbQ)osy(s$9;NDu%v}E zFsEf(CW@6Gqg3x=Dsb^OP4I8Dxd@lT~Snxn`F z+2(k<)o?KUoHWKGy=uDqJTYSU&n1`@M$q3QfKZ&?uR{MJ8LEbT99i`VZ8Jqc8 zQG&n|Qayr;22ppvNml$SXofLOxsUJa4Q=ldKg`!{K%C3tZ%Iia>Go$JlS{A!_F?q{ z^PrK+&c7z5Cf4srBy7e^UKdmDav(!tcp(p=Rq`S#<6N?a{{;>m)&}oM(aW{BIeU#x zlBiM@@iriiehmZj=*#+9*QrmkQ$^j%JV7zh(U{(hiX`%ct=U7C7LPWdP$}BZO_zj( z%M09YXTg%gA5RD3ye0icBc z#0$XtnV(d-=9lHRn)(JiL)A}|-pSo077s{h@!f2&*Mje}TGMMM(ueNmYuo{-^wK*d z&yawbYwA*ziMUSn_Kp@40+X}er`JBjdaV^NnwMaSyz$TL*%NSIk^i0x)5v<<3})FwWSKgpM>sI0^n>>*H5s%-9$ zgY;0!tAA1}s^@Yc?zYp_Y?mNyFwm&jXGHc92L4ij$H&JNIw$>11w7O2dc%c={qr^L*^_ zQ5g@eJ(qW#Pp?9%8r>=*S#=X4PSPV6etG=AA-MQKrp@#IeQ?jrgxViHh{&+aE&u6j zB`{*^gNf#2qqKx*iG;*3=-+X-g@g)L{KEUwA|Eye)c@EDPS$uJ0rYeeb5JN-ZrN4N z1tFa%+#i|cgYgj`aMLp1)q^C zeMj|AQZ3?;Z5`}Aa7J)KP`{n`s~o&Y!($abK1QU8*PcA20ilBM#lB4-Q` zYE|gvy4$Q(W}8@!2Jy>N)wf7gx%QAu?7Ks|*GRtA`oXuZgO7!L{owWgmfJja0R^aS z6Ir9uI2HdhZI5s83)W%6=%3V9M~O&+FV#a5j62$es~>Nq zpdcmM5i%Nk;_Z*%r1fZv!)m%hMGGf)Tj4t?J}_%lA5(m$;@-?#lGlqOhc`oq_m^#Z zd8q?$#BBadVV;+B@L^Zt3+ILMFb+{JOn2tzMNSye&huS|%=eJ2}TeUMIvpHZzG}x-(jrT68qT7sJWz=|KDf;gt~?IqhOvedW2p{s3%NJ-NY2|kSPFTFbWcrqGz8N#uB-koK6oIe=>C%I#rmr16AnyY z*=u0jys4y`l}IE9AB2I<6{Wlr3-K-7tYp+O4h#Cnhr<z?OxuKSvWf-#n{a34p`Ea@bO60&c$`Q6O}tCe*y*V7mtOzj#4dw{ zn+QFD+&uCMJ<*6yE^Z8a@`^hK{+#wb`)?NC7&>=STF>|6ldnGLfQ#|A|Nd_wfH(JX zJimFAQb&llRdcp~!p&0TYF3dMkGxdp4aUZN%S+i6Xs-_(R1_HdgKKy2GCqTydsFq3 zR{QV;=7S47{l5!@((3g?gJm}!&h|>t?EFcxqEYJaTB3;BS5H%8uOY4hB5>-po~0jU?w^Dc>#_peS?C2j$usm?^3QhX z*OZ85pS+Igc9*Dd4`I%Lzf@^kp8JmJx{R{K6BbSJB~_55Z2_2jXcJ%MhM)2#rT8c? z<|@qyb>I$__;!)$F?U>8OG}GE1U}HEig{^)_RL`tnUyIS1u6Oivy-5>=~7xGEad0L za8`4}+3pb7O39ly-%IA@=C&WPg%*yY@@h~7vxmUIq*|20GwsmW>U8TgXqbiFR8L*2 zPGvsC2^HvWvx%>#5T75>C1rFLLhwOMtcbwEI%Kv(=j*w2D37rhW*Cea=B+(2&0|Ze zu0}Og5jtCushx7IxOSl|SUs{dCsy1Yc_a1q;c5UCe~qY>SdT_`uR=(A)v`aA&zPS~ z1pF9dJhp8W62|wfE0_4U`_Tl={H20)os%RiDy=V+<1d{dn3h)rqhsLUs&TuOVRuD# zx$@X)u=%xMp;Vs=4hv!4)H)jIwIC_YW$mX=jW(A@lQx$~NIW{ZV^C^I;x81wt-9DF zrh_$%FscJsxxRHaHuTItqjMHz$WHZkO^o7oeZ6v;u|%oW@b$O%q)af8R}>;R!h$@e zn3*?5NlA=2pJ{Vf-eE-^p7E=I$V8w1Ohdz7nB*9 z@Q&MB*Ag}kNf7sDBqG3BkXf$Y)DxOdPvZ8fJt)ics`oz)k?dYT1S!e1wT0)m&HwwN z?w%)|_%w~IHTrqBts>OA1<18|J!jN+>eVn$b0hAKbHXkal&xPo7J%(8_)L4aJw`wU zs&kcumWsL+nZ!vXy^dP_V+J^DcPr<Uo<)g+%$qvWouw{?CuQ35{_MV7 zZk~o{J0IKA(a(O+-Wo z|BuOCyCcOZ4aJZ4KWR)Oxs;{Lk(pg1u?RV=W!o z$Jb=ee2|&WE^H4*iny?tDCQvXopi+*e)crVJsg_ouCHIM^Xl%wkG=N|#!3RG{OUEX zXs7lb1+PW?GF$-n-2{OES5XecbyRvIVEB_XaS78XwPmMtL3Ikd0>L)RC30*L zVwB-UjV-P|kL}ga`p3MPK;;@z;sxtW(;6g94|RwHG9%H&v`g)7EX}7hgE24)+)uF@ znz}5Yt=ExKSm^K#52Xy@0BAIZF85rEe`}9IJ1uUW5hxR!CNKYtrJspW>w7sJ5w? zOFe`m%xC4bAbnHivtQmT9v>JOV1?&g;Joy7MYQ8K4uG~0!$6_yD%uAj3(3!t>%jaCX+y=~p^*j!sPDykZTLhnWhX;RBi%hp%yBU*&f4?R1? zHa|n5Q7?2bY2Ab(f>3o8F%5BO-fG?3#`BDDlSr044{Ur556|0<8mp8=`DW6P=?SMW z7;wosRya?qiAf=|u#Tz=w1h=!^COjp4x}XKlx@C;Jb)Hn7@TiqC-Apba2q5o;o}5gXGd=1?Cmw!eLivqAmw|KLU<-@ z`N4l#ssAgtGydW0#t`VZc^#d4@Vw@dz=uFyk~FZHJPi7T6!jVV{}b1cBm{h~G8;Lc z)872w^80t!rZDCgVW7rlV0RLF{DhX^Y^odsg^1yWTUh7H8=Ye-)MBD|V0Avt1Kw&m z;qG$q8Hq6!w%3nT?R>$>Y9zX7;`z6T4{;Ns7hX|aN3NVzp-w6fK255l4x&U5fyo<~ zm`kB25~cExy>O&+XF)^WmUdwK-yXBjM4C=Nn<`IE?z zUKBZ2Hn+QlKPY>3cNTuj+Ck7AE-0YHZ(PTCek+l&5`!~*M1Nj_1AbT@Ga5`Bx}|;V z@aF{huB02db+rGub(8^JPvH?i<2~><dd!vp zf7jt5`h%IlU8jmnB@)SpTE!M&pFy4%%3Y04ysn25r`JsomL*qK4sRA%mrq|P|NZI| zQaa1+H2(;qOm4f0du}r#<2T0vlTS`dGksJ7C`#kHk;B435T<)`9abEPB=%C`!OUQ# z1zEii9k=PQ3AZ>v3Dr&7qFF5avOhr)i!!n$xTcA+CD)LZFScmVZk2Cvk)|;p=A7) z8oozerTMkQo`F`aSG5O{I)BZGGJ8~V;*x^!)x3W_+9#25Zh0>j!osaJE8KPQ4(dvm zt#Gx{shRZ`w;eXxZci)Tq_1K{JczY(E6L80j6Zl6C4uy!9aQ!0`GVe}7aSX;a ziuMd6#ImH{MN_VfgU#2)gJe5Xd*TIfNK8m;t{b@>l$t%8Q{}Oz@!yPEm-6ZUkq}MQ;pm zW#b-G-hbu}?FX!Jlq9fORX4}El^Dy_AE~@-5ZCp|ExMuO#qs7J^WFm`e1B#9lweS^ z{~gqm%YGO2K0<;!BRd;O`zOa@LHU(;6G`Ffjj8XhWI)}gJoJC+g`YSF%ynn-@_%x; z>R0?@7N!9<_^9$9yf#wdw16Qj4i>VUlh+Tn+27m7dMynVYt^b;{lq1<&FK335K@)( zVr&7b%Q3F||MQwW7s$>5|9UQE(@(Ltue=To@dP1J-(_MMxQ?pf^c`$#w_psIo`T!p zX=ph4wL4kQ(#mR`FlfOkw$u!+?`I*0DS)wgJ=Yk~dv=I7)#2h7ObG$O`Bc-fXJC3Q zU|n81jYLJE42|oGI0y?>h1J9sZ{51(A1l*pm-*n@g!?x5uRMq1!q-QjdS`L0T00Ik ze{&n^pKb!MU^HH^IRh=p8+`VZms+_vKQ--r;s3`Ror+Kblm0HQ$1JGqI|(dOc?AuP zu=1dW=k>}-2A@y9uCIweH=NgmX@=Cr83C|mVl;M$jQ%oGoi~l(D+X;ZyXd0&&)ON= zMDSQFz%JmuhuFT*555b{so}n5xodkuoEhf)N(<*LJ@`7hpxbN#Xh@~k{8 zf>4Jv9^HwO%veMWl9i>(IS(WR|4n&d;uc@HV46=4r@Fv0PQm{6q2%9;;kOEQ6^(O_ zK266@9?7p+Xwnv3Pbo1Xs#lG2f(IVZuy3twpr`#Mp?cYo;PihEmW`U3ll!pqmHm)E z1lFo*MM1IuK~67*%;Q`qPB@^UdKkOpN&WVRw|m054Ht*gct>=3{t$;^`LA%_K^T6L zEd;t@r8_hn40h209=N>1fB4f1d+7-G)cX2De``w^Tic|^dR4b^4d9)gFR!ZJ+N~`2 zck7-%{QSepQCosLF~1fL_Zw<@z>+KGP;QAMAmzJ8FnWqjwh;eCs&?RmlUz$|#yMtU zUE<1e*&vk^a{v8>(~&liPry2ZpF-}szg&q62Pbj2z_2m!3a;3q_m@GV&S246PYaAZW7Pk@7<=z{s{8+c zTsv(fMUpK$BU_@7b!2CgJUfYD&}5P78N&e|y9uHJIypZ(`u zl2h9?d`z~6b?4`jQ(4daJr6a#wiU+H<9H?vEjS@VtEgsrY0eUOi-w z8VLbvH{U!o8IRGjlt5QJDi zoM7d&0D8&s{o&x^2Sf`l!s7*!Gben!WkTj$<*3XVk=sDT(2tFcF?MEk4A$-R6(r2L zN+uh{rq$3O9})@48ZF*_K|ZdT*zLdciOX^;<41rhV}YnI$7`yVD-|Wds)6^Z__w@e z(lr1CY2N?-ei1yVd=I2BgDp-C+FK|q?~pA6WQ_FN zV=KO_H-CLTI|Tz4Zg+<`Bl$m~{&!9|LQ07Gp=JRP&fk}>tP~Z22~9bT01!OxMQVHB z|0s3HI-N=JGc@$ubG;8#N%dMAhZ6`d)04LVPv$ehsQgQRHQb`T`wO6d!5LQ~qD%5a z4-O`4x4XcHRVS{qb)@@hDF>7d39JBtzTA}F#7>O&w?lN{fE!FzV{Hp+wDbp}3Amd^ z+%@YxwaMQ>Qg#g{UBiYtgwpr8;N83L{+D*3AN`-S!?9{)4aRx-?14o8GT(}MtbxUH={kOY z=jQ>EA}VKbNlCcKixl31aih2_%0O9}E@B^f5kOMwS+*)DV7-4FS|gdQZ+@geiFc3Q zgv^aY7}VbHeD@lTCGSdc0|x=>j71ib7m?$EtPyeTGvK4~FN%WJ{NI^@99rx1X|4e)1&mIAz7)js)g32ET3!;zj}Q;(31m}@TH4RIzdsa& zUJ5IbJ3)gdV}Xa~mt1P>vzP`AN=nKG--o(4)bB7vRCkCa0Tn(p&>}%{v0&3p1Zg6o z=@kR}Y2h+#y?bNcfD{TIxc2q9%-G-U_H2y+==!lfoEK;|pY&ewV!wQ5#@>)bYI%K1 zRyl)t=O+AN>gW_BQi?$gYY;c?x70fB2mksrNQ&nrQg^2L|JEHk!a)+JG*;%!zHKog zB@{*2Uk>MWG*z9iKXQUF9BE=mUw<1uVzuTg8r1)d*H|r~8%2ZzN@5=4@KJL8{cbAJ z2S_Tc-IPyJJKyi~0bGfCz#OiYtE_$GRNAO6R(c1-*aNJ*SO zEj*c9E4iE%gBPC+X7u(oAn}jjB_h$&@1a9xN9H;+% z3t(MBGpMIK{Rh-;7U-6;FR|4mI@S)2rhv6dOE9CgGKi8@LDYi#Xzk;?WLf zJOnz72M5}y$B&mXhI)mjPlsBo|I!~~4K}-*ONg@|WTCRiZiw%GiB-4%Hj&f-ch#3i zmk}dE$GXDI!1U~z-AGIUfQ}DJqT!vw#!%fwI1A$%5&p(T-AOG+6D+`RrZ%yZlbg?n zy9xWnAq;Zs{KmEaZR~I11IWXw;`=ii?2mTtDkT6x9@JMJIwLHFFpprd2-kD05nS3C z_1#@^>bi9-e$K@+83pgaO8(t}x01w?LK42h%R}vc=UDx97;ydb=)V>;CHc5cC}qlVS-o@XqA8sP?MTNz z&7ZQZWLWlhS57U!T4X(_7w^+IisMThtI4;s%_0u1wMQ~eSq)(|?ke3x4C;F-&TZGS z008j$Rf`BH|Nix-cW^Ac;|4bO?6LH+9NvM4D@#sh77xNP$i#()Bn1Q>gC7LIFf3J zmtQciY=@(A~+0%%0jT@^_rKd!Q*niOzE=FieFB3&)*Z@A! z5!s0agu$qJ^cMwO*>|w~+I|f?@-_0DWt8l!c_p&&VWk51b3?as%xp$nkxBpaRTucz zsF{Cu6)y_Bq_LjbJ6=>dY)T~i56h4-6ku%Dqc*vA*~ic04pYP#5zdbrsmaQxdpn+4$e{zcsy6hD3bLbWq{WArA5 z>Z(nZabMts+kalVA9?8v9LMdIR5O*%{@j*vfSNsbw?n{)cIA)bBw z!UwEH5M%N^+;63LWE}c^^7;!BVRK1RPt}W`UZu9RBh`6IN>EE!c%nvyr*?u@ z^EO=p5C?wXSE`2~lr0F^sEMzjM!N3l@CuH zchHRdvYE)+>d^khg4}uz@i`nBrZ_^Zj^}Tsx;K)^wI~aXF(H$`*h;m!io}LSNb?UT zNa1Ro%Sz!scKM;dKA544&;)$9hZo5w;nHFWbViZA-#3GGnIoVNKI8UC|T-(GA_ zx|Ns-B4sap?*ANhaPO9DG&M9prn5%24eD_o1mE=jK{LT?f_QSK6KwOZzY_db1wEVc zw__wy`89;~bXlLl7=IkSry&Ek11k2?u%))cRec$$O9J0FnZ$2o4bN}#4_o0YXZw}iQArlC&D$sbT2M~bS5o8v*xmAH{g*m&) z2Fipv3z5dKTHbT=^1{{_81T3mq!pkga1@p+XC76J_|y?!4QN4#vDGz@;;a*#Cy?Qn zlw(eISopziVO&i^XfFi!^)%oXQ2=P%1(%WtX^vO~xH_Z3%5@J>6d`Q<`sQZXM$Q2e zh0(7&{wuF(_U=<^l3OL1-f<{ z==QsW$PqWw8g!?c_>M%@iJks(GmwL>0TQh&xsi>!Yi^!_WXd4~lKFc$8AO#OKtzAe z_6SGgnE^9bCq_*Re&KA9T&HBX=qIbie_90RAxC(Xiv_ZRUA?vFVGhU6BoTzOXaOk5 z77lRe>s3qC^(8>jjLcTgYBLF~eV4tMP@Q<3G5Klm_yU>+^<+1>2c5rn=v zj95b0E<}7}r6rRS=V9BRSfjv;Tnc@QrH}sZRl?#t~;(-6M z;zSTz_-P14kBCM}5OSoUBDOomcW9S4%X%Bg;q6ChV*9UXo06jH=@W_N_{)`9aLAy5 zFO2M#M;K5Pq6#1SVA5dq{_kEWwH<`EcYKO=)$D(_jum^TAirpGfhMG4t-i^SVo~$( z#5{5r{tRc<5mGE(#Mwf&cX_a|LFp{9VrvJ zj$C*t%Y5$mc~AJ@kRJt6Y@$};1Ycr&7q4UQe@N=TfO@%P2?||xUsogRCqKd7S?gQ?T!9H3xu#Id0sMw$NB9$J1?wc#2O+f-5D_y6Zv%$ zLv8I?B&M#t85&XJbr$j721dPYVPfkHWoE{_x^AQ=d2ipT65$H2(rhse0E2 zu?0LAHgW9y`OwfwFrohh|O$ zzcF@zWcn^j!OnII`?S^5^s^AEai~gW)XKeo;hTtlG|;vF-D4AdhOYPjPAY2viTE%? zprb?e>yfs9m7VAD_}e?7Sgz>>qd%3~+aU7vkh}o8M%n)wRT?cZSy^PJK@Bw$`jgz+q!<=gI){&S9sx%^C6f>^yOv3odje7z_7+hLN_bAM-- z>nVq(tH*;e)4Z<^Z74?uZ~jWWNfz7KsXQr?lmr+1G}|f{H=s|q$T1S1{V&u2^O?PE z)>~+Jq;A0Bya!2Ak85fV^W}9;w7xvgL&m@L`EG|P?B9t4cR{^!TmQZPAC6=wasJ)I z6SU-bg&5Ev8l&HnRQTH3TElUmJ0o^GiEm|H!OT_-&^R}o=8>2|t; zrjT84ejY2QCl28rYXB39rCFC6eG?qe=l@o*XTSS3Tiv|*j2~<00g_$dMYKh3y??H- zbZXMe5D^6!KAg9^Yv;$f;EH@7vXc25AA00p@Q0^KojN!aC{B`?#icm!!^&9{Dk3?@E4-Ls%U?3UtQKp#3lfuAmd2N1Yp zrMQ9b^6mvw%vg2kQ$>Q%!@G_~Be23qUbv=i6{qZRrp?Iq{tqk#p$$mSBf{^pC^0ANai{OtEJ<_l(!FZPvPan$qV&ziUUi?5T!Sl?6%wkKsr4{C_CC`am?X%n--xHG7TC z#r}K)4uq4R4q?Sy{OQek;Wf@1&kwUMBUs;GBje&eL?leD8-ndE0E&Ntp({9v?}~N6 z?^`XW05RXHnUge2%9?cb*cFd&zH(!uYqcOss?sz|86w(y7lZP zY+<@L9LMbx%w*HHJT<_86Q))_&qQ zM^I6chul^|-&>j%fy*!pmU8z7m6A1O-2FZLGz#JlYk<)94z^N6$^e>Eihx~m`)XrJ|gTpe>GMv$B_U_89x0gg(A zywJP()oThA8vlzO?9>oLxIwwwAy){^7}TY z?V`*%cyz`aQ?fQTnHZ%z2s4Q(GKnM&E; zr4Ctj;8ZDQ4`e_N?$f>G$-5s74Ut~tE>VrM?Zi>g4|q3OpXigRbmOd6gY=(Q*= z{vB%cyIy=Brc8|bT=0IzEecYVi-)Af0U;Icp~2B(6&t@;kHrswj*nzFYp)H=vL*zb zhU(8q(8c{qm+aq=O)Rk2;W{<8zgQrUr4^1ye>++vQlmEA#nKE_fJTi86c%~WMFVn! zV~wkiZW&~2aoSX^1gX7X!R%eTW^vQIB+qzdFI%1E0wTCz1DTYkV8(KiHHGt%P}UpF z4aPr%&5}2mtVTepZv7CGhh$;}n(1m0hAdN*#X0~+Hd%fpu{rpD{0GW!=k>LU>|2$=bZZ#GnJ8p6?es1cXOl1tb~jJW4`Z! z2%sJ%Z%P^cmr%ZdDjYA9gWCxtrC2KxH^u@zM*5G|U=3ogD}LU`QOzOzQtI)85;X~H zjC9+<5LA_D_y|@E|C@2`+O_Bdy?a2W3T$O1IVtq7XzJ;4z*km@eqVF;s2)(=;N|QQ zmjqC=$n&gyI!4qZNyyQ#e<6o)4QUhzIt82^8DH5*jNdJfPlY@t${F@mR6Q^p4%$_h z-dG+vc;Bbm!97TL$!i(XRiZ zMUM|jEZL?WlO3+sUnyPB40FoO&c4Ju2FcDKhgf!3{uLWa$)OcT+X9&s4S}B7J*P*? z9b;iOz^xnWK%)xIcB@a`ATt*%2R$21PmohibokdTIQ402$NPFECnw7&gxaLO(~h(W z-zqKe;cCx2Lh>S=2vGgertyk!Sk;$%Z!CZCw0iLg0=ZY&>NM2Y42@T-5p8Cf2#MUW z?Yy7zXPa&tOe(fv%wX8$u@IlAe|oZaTrKa4f8pRnhamLO7o$>fWS-RZ_O`g|*oA>z zWb@vCF@LU*F-*9A^cey5XB~w`r=-1-)OGmy{pj}Sj3g^EHzRIHke)Mv1^(r=p|?J} zB|P=U!y`PD!=RI@hP0$?&~sV^PUIHUvLh)c%Dt|%9a+bcMAhyUT(om^wEU;kBfe*Efd^WB5DNk_Mi;p*Xdz{-<5reoAsQrU zZCMb|UCVbJaJ8I#tnar9^C8oLuc4HSs}cn}l(pbDVlui=}2{-B* zWA&#E-``KjdGnKg>92TG$U9U9rfNoc(b0wqZ*YEWoG}b<92=!^Skb3M{HpUm^_$E(t zOD$ab3AS-mRtYSIX2z}N@La_IH)g%RfL6>c?m?4s;*Hi;))Y?YT30^o?f9!@(T|ti z03I_|F-|y-yBVQ8Y}mOF_|f0=#QOTDSx9=XuGqOwv5kPGE#`rSWhL0mXJ}s)2l$o8 ze>Y4MJ@G3jnv#s2uNj#eGPxhYf1}Y~V8nw=dXVf>H%CKxJcw0?C((%(t$?lT6_HN-dQYwusb>~rF$dV(!e;K;zTzkhWc?nV z9LtM>W6VeCO^5?7XV-3jd9C?!0hIXOSH|g?cqsa!i0(7I3aFLdS}D2CF{gGenS&Cv z_sgB8+iI`O#Lq({5{RlhN}hOtMu8hKy`|UIVhT=~-)*-obE%m0#AqBQ@blq#DDbYr zJ;`=xV(|=TO>;s=U176EJ)v><_!yx=;9H77HjR_!P#(`v%xCOi9HG zun_a9CZKKaSi*QMU;62dLcKyJ@7H~~+U@i~ml=Q`c?V+BRr^%ChH7P9i(Uc~z-YN| zcufrDzCIvgxY;kddJT_(800}C6eyT99uNiByz9;>yGi=M?K_RR4zvP)Zq|_?n0bB% zMzJYKU!&!l09>%c2V#EwXX>_UR$5=9B!{+;f+Df#WqVQBepsNEE6O3RT*zeEzCH38 zsT-(ui1NF;L>QX<_&Nl?aPk1}YQ>45;v}j~F+4`xL9}jh`k*{r16y}XzCo24U|gA4 zJjigDa<`J7`Clu5AwIZQHmy6UpN8!jFG_|es+Zguo6h@}VL=g9`;o`jk-VqgT`9$M zeaJLRTP0#S{(P=Pf+bTeL*&>lL(fL_yazdFUm#kSWx6+Izho|(D&)58k37J<+ArZ7k*7s947dRVx?Z6BD+;6@K}N}o zJhHGXuAZCqg8Z>RgQK!2zhCxG=Di zC)>)jShLLGJ28H7sOEcH@|3M7gj%Gr3a+P1bN{h^ls4x53I336cyEj=Pep|h)WP|S zOHON4Fs!!)s`iJ%lqU7&U=4`z9|&AHN%AR}JfAgDmwd8PbVsb}Z2Qvkxhx;Y{uBW! zMAdIxvgJ;z4Y}B5rL1eza0m8xne>fDkO`gP_&N;P{M4aG0CyJ~p^cZkezlBC&0wxh z`90M_bR))IBzg3qnC`C_xDJA1|3~X?URt+^29X5-2-|NMPr8bYOEzqc!25b(3!opU zY2J;a|0><}aG!F0B^+ld8!)?C@$@`oR0UbR;$^uxUqUw1lZ7^PW|YTAr#c9L%se52 zq8B&*k;Io3U5bavm`D#PhVlM2lXM^PgzkYDZ&_wH#DIvbp<>#XOppV^fbbncN2gcx z*4G1tt_C`9I?(a?tPBsNPo^?rAC#BNEt0yLY7ZoOCaa7rm*dBZ_wvX*cH17w8f}MG zymB;TT{TGjlAt<5bsSkRX%%&ewg^73d=k&s*Rzx$VfU|`vgR))%+zJ;=opL4oK7Ig zd7j(xVsnme)(19*7=Y7J2v>e;}2V>Z`3c4y+bkygD$ppdeG4 z>>QW1P=I`kB!0iClyFiI3I{-48?dh&h+YzAly+F!&y?I(zfdK9Sb=`!;>$kxe)vD1 z%3m*Cpzg5e<dIxqO%72E>jYD^&2#E~8_qXb1 zs^FDROFTBY4?;HoERKevKe7yt%HKkmRoe5-;<8w^1+cmKG%p1ahT41K1zrdXJ;Kx# zym>dVNlCjnySL@{r~L4fTl~_FJL_`|DpV()nt?d4$YHFqTjw+hNza;TO{S%x-@Xcm z$7IRkx$>&9-{;?DQ+Y{qrQCq4K9@$c{hPm^qH`)EiG1|p!5T!G1uAwk0Hb%4%K+*U z6^+~rhP4fTt}Omo=3uH7K?#CJYG&v9I6T}W&u=j;-}P#|?z6T=iQoQ0R2%<38CK8N z5oUTd{Qi?4{ry_mdFC46>s$vjkt4`FBnaNP73KzUo(TC(tZf2!=eT{^hfKJZl!Z8M z&TI6_UHKqVf_Qc=dAtpKeHF_njqoc=JipMu_35b~gW3^CUEBqn;?2C7x!sSG9$?#I z$!8@$q0864j`gyo-Ki6TOP#npOZ)KC0gEU@clUA)ZSAvSV_~#nSeNF@&RDDW@R=S0 z^OaY9Et#uif!byxMTkp0FUk_`?62qQV2>(it;kSQI=@9LzSCbgnLhi(bAeJhrtV~4 z$sz+LW?ij40{pJGSVGR1GW_Hw_EN<<5mg2r8fQe4R}QS1fVnY zrx(B$HwaEPdHMK=8am!)noY3q(t7utSTyfESOJ6a<{8vvzC7D?O_snzk%Ki}gSLYL z8qSrrOk@j@I_U;>tBp%mWI_o_B!HlrYBTe6xe55&7Eop7%97U@G#vGmxURkF;20Tb z8A3I7O+E3T=^Z;b8)v*{Fm3<`A7$$3ONG=euv8fm-9PZqxg+hPJ}8wUyVlGYdU|>o zpt41dK5RIR#PiA`%HfpXQ>=0i1mU@nYPYkA6Oz93#st0kQRj_9AqRWK^NVoZJ2G;3 z>o`lz0mX*EaHSW5343GTrgBW=#_wZ-$1X%k$vipCs!V1*_NHO4F~2V*@k{=VQqj{R zl%yJ3!L%n7j7?>R!LYDwKQ?^L;mhId4|nia#P#Z<=TIW|^ErBw7v*3H_#Zsx2|~HG zk%@h+PSFLw!f}j*S-2Bm2t9d^M>59{<}UI z@`NefLZ77R?ro*`4xhB?o~P*D2ldr?wB#rcSQtIR*Ev5+aeIxy%U0>rf=rgU{rP#h#&cAsUtLD}-N?VJ9L`|iuP zgw4ItzJ-=DH=HG>?rhzM`1pr~TVoTf&A417uX4s$? zc+Hi<%OO&SC~oow-(AN5AP7xe93!3?86$$)Cvtno4VP^9fh=VD?pahkcAY+DVtdO) zw1);2R=?X$Lq@W*c!SF zzs$S&7*vahk}{5WMTTxC91%sS8AzKIBFvlEHIW&hRBY9 zP5Lx}Mdd>WR}SN}cMp8u#_<&7V#CEJ>q|;3>Xr9}(%H@0ODd;YUq&^N>UycC=Lv2* z%S78AtcjWZH0==*r$eck85G=G)G#1w6&yQQdcW~*@SPR#F@i#IzU|F!m2X4!rPsL` znPm!Y%Of{CUHsgemxGl~qt!08F=H2Qm>70^vR!~*4?mEX7ha51hfMczBv=RXN&iIO zz%HQV7RSJtPy|uR{5GhWVcAJJ%vkF@Jrx?F(f{1G=n{5Z`%P+_W{5H&dIa+af^XoL=5NAG=@_!%D^JIz+Y!5XZ2 zZw?d(BYmdQ5*!-zpR^RfTnHZW5u&9Sfqqe3lW#J6Cw5ZU=56;aAUdjf;@OkaeL zuL`M0zPx+7wh|_m3kR*n`qVSZ4`1@FuM(Y8hcJolDwDIT`Y3VSkbAMRl*Py8+JW(5 z#{Qt>yya!zvM{A?-Y-2=#6l;A$u7y@?C zOmFCNQX9?GEsEo^+W#H%v9iDq)Cxgd0nt+wKIC;fb>zKy%6V3hr)jZzcbbp2)dysRoUS8US3&0j=zK;Nw@7Us&+I z`bP-U@WPk5oQT_w1A31!Gx59y1(xH>Dj`iQaVZ3#ZkqxZWV{p@?jlDn8T&nWV9cR2Q>RRsI7X9yvkG~3DhmV~i#(pueWpTm zY^JAgrYm^~pFQ*W;LG0P6Q9>5#^i%MyvjoatuqJvHps1#ZouKDF)z#6*&9zBW$xv4kJ)ud0?u6H6YU(5DhQMzpH^=Lr6AbPRQQ`Mo z-7Owt@R|#5qLXe%%zTxf9BvRa^?GSqdMbIjbTid%=}gP5(<(;&@0ht<_uMxJdnlfV zm=CeQA#^>x5-Pxoo*m{dsNoPn`MCPlS1Z-leFjq((^nV<%&$2<9tRE3G?MYF#j3k& z1SE%4tp_HKw?OE7{A3d4EnA@AIjxe@{JGqo#&EqwQgEcQJzTvwmnwq)y0jiij2WHJ zKH*7@I{alRhfM7Juk#&xWikH89E=&rb&4qUQ)zQg3#mRH^-!p8kbB{ zdp_ppASS%h{@%01zOL6Bl%Z%pBX}MI9*Gqi<1N{+eR#>Htb<9Y~$&IZ1(20Lg=j5 zq)|=lO%l%0`8jz-84}H(zqx6a>Xg+OR zrq1;JBTSa(3s|_d*tS3&#=_)E8QtLPu>EVlCqxWmXRU13heRx{%mv?|tI7oh(dv|& zMsr44{Q$c>bk=9MBIcOZ%4moA9p8)PSjClFJJydL`|S<0DhYEih-Jg6vb!HXjbcwp zPa|k(cCFFjnI|VpmM>=rLf0de{S5u(T)-Un*5+6%FRn-&_Q|sPwHjKQa<|~LhV6s5 zNL5;KZolT@XQoB4Cy#K(>*9`hz>QQ#Yo?YX0zOcBn?n*m`I(^UaG5g*cq#8*-k-iT z0|yuI`W%p}MA-a>&IyQQLIh?VqO+B=qH~q^Fz2O2dY;TCFZrJMeX4IPQM@9u{cb|o zyIAqN53F(GdI7$#<_xsS#f0Md6o#CX=@3!u`OvR-jKCXplHZit52;! zf>1OV=28DzN{XpV*mV&(X)J@or{EI+p#QO?Mpaa=cX1s3*ZyK5=K}y2ACfKx)CEFg zI6;ne8vvTuUcP);8=Kn>h9$S*0ia=fBh}3Bf{#V^5rf09X-W!s7YC|4AY%z(4Ts)`6=DSHI@ls zaVn@Rc?Rx~F})0%&y$zS5X^AVZnmAnL| zAzS^fU9R1(J+8fDTQA2FLrS>4Q(vuL z_5g+=(xbn9E=WieR@=#Wxl5n4nc{-564-=RQ^AGvKMg)=>Sxpig@oE6`}<;txnKninHOi!dyuRD8etWq#=nmH_Vw+{JtmPV?BYwz z#!xyguHI}@X}9aNJEh<=*g4NWCXc1CG=_YYr+m_U*CpZs1oQKjE{1FP75GQ&P)Z};** z^z!(vSms^*pnVC#dt=^9_~{Rzh9hAUw{NemV5TqBm*(YvYyV3AN`rWv1c7|m*1>BZ zNX-Fzn>b$l$n}rdn@GOUCl9SPW+5be8KCHh$UXrb4gtu|CG%e49ODPB`DiZDWU> zU%(qD&T$DpH!Dum^he@7Fm`jN@(-y`%VOxJv5a55V-I_OdmBY`j$L*Q;9MZ zvTT;F+iMFxhlW|qZMj1NOQVXfyH?(I6>c;me@brFdQL&}-o5LK0@O{AaCg61jKXNU zO?wLAq%J>dBtv}s2!4&d-i&CU7i!O;vbwMMJ}87wHO%SsXLj!^T??)Lo1KPtg&FQ! zMgZiyHsOi*FR#2r8gqr4SlcBx=4D+q6E8kXPy4%JR=s?QT=ry-E~D53pqq!j)|;}p z>*P$?N+&8Vwtx?@V@#*QJJZx;c0ci;a1g@uUP)xU(UK1LMu8F?Ane*b1(ukSrSCsrYGO0d z?JNX`elsQM5C+@zlkNQF5#r&V%b3yn>X##xUtAZMQW=LcXXpVQX33A;_ATCwSzcU> z-puh>E5=^Ow#&u)!ISKCZ;f#s(F;XYDzR?p+6?RW4Ge5OwFd7O&#xU&n%?B&N%(*z zedf=lrmc7FK>LK>K?zn_VyDk{ig2TprEx>NI7PU)KjL|+L?+|#j`W9R&>I)ij)=iL zKualHn9t4w%lJPGAMV|l=%I|#8I4x$ifjroA>Fy$9rJ3b%ju1U*lp00K--u4;vn(N zw?JFnrnUd2Z>g@%dgcKHVh&o|8IL_sPy-Rvmw#fO%!%5FsBm>;?`;F2BPRnYIa|-S zvrlU@Zz&%1oO8V)fK9W6X-R76DH^_~!loF1O;4z`L!&*E;c=V$CxH9%_GB&1#pSWhVIx2VC{`LqrFqL{}rxyw{w-BLK`TW+N6lN!r=l_(-Ppfu&@T2 z$e5Q6U?kd~y7LlRdAiYVQJBtLB;_wVJG-?VzQ1Qq;t^J({9B$*ne6Y(ql$P29z2zX z3&PC=A>kP#)+m zv)@Jza9~dXR?!Go{V{RzscFd9r+G;agmd{87l>go3XqF;B4JnURp~(?SdFYGkOM2mjmzYE4%UPp~cG+V2Nb;bqHj3m?Z00AKwnRS@A?w zeuzOS7|upq!-bqib8pEbh}V~kcxG};-8s%OxpYYs{b0Jy(9rTt>_}yr%p@u7J>V{Q zf`~|e@s%Q2*!&7af(X_uml%zMK9^}@V*@#gs~xoPR^>5lGadz#o2sdG+qZ{n~arPiWB6 zBHj;t?zMnci-fHz0^NF!)8@(y$6>+jKW{o_6S>KPUpw#s?v)0mGVYAkxORnTacRY&+&)|yFMK7PL%D>0Sv1|*)sFMpD z+DuWD+uKTHbz?f&sF35I)|#djN&Evg-*=s}lM8x1a{T7$!&Umuk!cK8@lQNcW~^@O z%T;?|1JPP+QD4|SCht@>hFbbc!&pU<=4e^(oLq z(G$ZK9jv77bv{eTL}hQ#;+O1~THD>M?z{|79Nqb3Ni8UfVK0ui$DM%w_XNZ~ z{Z5X8l*g~Rc^fYN_V;^uKX3X(TKG$Sic&4|&TzuaRb>e!cjT|p90iclSYYmpVKEK7 zL=ov{U_rlZMMtOTXh#F?7aP3|C;z&Y$h$YftIi&8xK_HqwTH;HKY7SON=8e_HD~o$ zgZM;^_zwJzu@>WR7hj2cZ&yZj9#{(U6}++sSKH50+Dt@fBwC50y8cG%z0{pe1RwUV zPSmCQNr!ipbvpHVO$ce^{wWi9`lxjpya<<=lHiHfUN>yKA;)L`Iv+peW=Rld>luN- zcBBh~gii6_2WqlvmehoBOI7g$KsDZ8XPA~saFq`m>$R?_r69jn7|4y<m7RghJb#%A37fQNpIqZB#@C}N9j&}r~ zRb4ObE0A6z*0|&#bQ6WqiH==5{?w&TtcvdsF}L7Hd|eG23CRvf@hd=fV&Uv(Vz@Hg z=W|ocE4QO2_m;l#S}iZn-mY!jjI3v)wR>c%5huMN1Iy$Q=HbNfWqEz^a)TrZgUJmQ z@{s1+IV?=5PcH6@BiyG+xE_t@H7?Dc&&@PZ#Z||(lH{ps0s~EG5-Q+VzrWiVr@^hm z30?AgWV>q8vcyI%(PDH287Q2oyEDa}XrfON7U837wbGDjbs$v$yi012DgIoy!ugP- zGMV#qhm*i?@olmy-s@GCrK!2Pdw$_*{X^>zkj-4}b#h zc~Z}6VnvwJ>=Eq3M|44@BKf1Y4`+2;Pa9R6zM)ykmpC`rSBjVX9^zsX zHxr^Un6L9V{O~+=P)b4By+z-Gtc7@1H@2nfH?!eI5y{ne<{oZFZdj~r|7WY7;CER+=u4F zjo~_yJAE0n-4`&tczPW#%Ytjg*+8c3Oo@Zl4~B&1jr2T5_CoQe=xsIvKv1gO$hUI` zXFYb!kikKA_WpM>I*FSlmWGb?e0l5aG6%9Ts^9q?7mO?jc|>a)+a9l@o?Ow6G;Eh*p7w4dD|J}6&9}Al$5-0o?guUcR zqI%xUk336@H?g4=nck7l(3A&O>F}r7i$(O2o|h!bB2JsGEF-^-e9tKRsqqrj-Tvg! zn|TGa9ior&UqjA_W%G=|k;m4M;zpHl)v5BXt`2~4!8a@Mr(_G7 zK9c9cV9=w(Q_38VIYp@4trzdz#Wi2LLQDCvytG;WQ%nKU9v`?_DoLQkmx}dVAs&Z2 zjii06Y5_8pmS2$_4sxzb@*^^hNiWD0FXPCQhexZ+k=-l|-Endt=)$Qrmtj%W71e8y!<6nz?We@}cS zU@=KmFn}-qe6{7B(N#0cDn`eYh&|8SlNguVmshJ(;qY{Io8A%B$*Q~_CUW-tL3PBrMwbj<<#BCC+1VH4`UXBX+nX6)p`exXMh)^Oy+#&%iL1W>+iwIsjeuU1Sz@|4iI|d87X^qmS5s7ztBhR`3&{94qbtO*x-Z;&oTMcIJk_)>EPIQk z5m8Lm8_dKw{k5=}4TB+l$|7^!+XH94a-CDXCg5njdl6|=EqxYc14c3Mzm>?1AyvXFdcpe!J)x|;Dh-`YCMnj9amU?yGg5;`gHecd!@!QItKYnUNJv1>}V((bM_2$=s1g$u2?da{6Y9^H19oRLj zsUS}L5;;fIVr;Ak(2yFp<+hI46>{XvCWFsD22lt8|DK_c*zF3sWD zLo~TQbc+8t1~b?3{{XUYFT-(imwfCHis0DqYKY~RTz-^UIJ_yuhocxOtWp=POg=y# zmvUkiP1~JGucItK&(8h@S87X*Um8vHiUWng-NyK8@RyOqTnE7G=v^@{Md&y=Uc~UnUMTty@S6@9>1J>c7&7{NR>9Ur zQlN02SjQc8t*cibKg%{f!Y3B1eSPNKH7cZ3y*CFw=O$P2oDjB`;zYKH%Xn&DMAEMl zgi0^d$e(sdChhZ9nz4MBUEPq!06nTwA`P5~C+IfQ%geRdIXKLb(5WmDILu8sbqmhF zAfOpnN*vcZujmbX-8o2qErHCQI$%4bTYzVQ2uytpTm&H~mm-~268mSju`PG!;WJ!R zIT>PdJ#G_cJ8IG>1uGNMGh7oiG}q;w&0h_E4sR8sRn+r9e$$tSih z-U8G9TMRMDkK$$)$4uN*7l)6Ms@UA1`eIpZ1Z11vKZ z7$KeEd+pJ2OzqJR-%q3v7VbXA#I4W&6er6reXF)WVE>_k69<9hNr);eNk2kz)g2-l z__sjd6QjzucVGtz#M&D!wLQ5R!K43?cZooA!){jZX4Dmlp|6)#(;44U`B=wMaTD)) z?hYItG>6CmK>z&xcOd$6Yw;JG4Jw5)_dDhTm^UL4dDfH?YBcLcZ|NMjarVauk4Q+I zEM)Qb%d)kiyIZPbk|*zocB})D)49yWkk9CL#~g2B$cN()t2hmcJL4C#!NTQP&YzsM zCUk1B_2Lo*-8Aklve~CR)l7DGd8%eaCY#bG=i(!gRfh;Rr6f!Kr)#q&|rj?(@ue4ruE+?)goFWT@qVk?7+D?<4`m5LpTl`)1>ppTRZ* zsHu{T8D?b6!MD@g%#eGRdAXJ^WjX*-^Znmu{aM}Ew4;cqFg?QY8&}7J1vnK3eXS!I z#X@-7OP;!oq3d1X*Yv+fPCSg{%g;Y~15Qco9(!i#&oR8^H;15oo{8s+Lu)((BYk?wIyitOU_+8bNEDCOge zS+cCKBH8bNwZc8Pw^qB26bVMU!?QtW1WM}nZ68*63#z<8=y94*PoJH$<{l{qr~}dJu4U)2i$tZ{oLm=+g&cKyrkcsU}@ndRaY33o^-> zOYk`wt<>em>BKv~?#@$<>uee)5AYj)2Rj>RWpMZ%V1hgqQ3 zzH#p!;~Vf5ze-T?@O^y@sb*eaU{8o*Zd2R~MfXmlc)Mt8)U_o%Go!P>boWo!O;7SZ zAI>r0<+jSOFs<1^34Z@4Ez)|LM6rASt|9w^IGX8oW0yL9SLnDGaef9%iKPvas!d@y=JQ5Av zC9Bc$@apCq9^B*q%Xevs^@m5y3`Rr6Dwk-`ro*{yRUJONV|cYyEa7hLV>sC2N|4&u zwVa~|@H2h$Zsat3EBEp;;jpM0#r10bF~l17C2j3F_Dn#l_l)J2&MIMBA_}ZEUQ}S_1A*UX++jtc&%B z9s#E4V3N*rt3XWWe;dwoa7-b?dA&>DFW$z!XZ^WP&~KX_9?`FZl&^?~_ZcCkTpe~k z8%g%*P`=)DksnHy-zHglbI&m{| z13XuFWJy1*15#oqQ5r(E3CCWNO+g-VMk@fbn-BB`Upm&*<|cFQO(iH-nxYNdxFp{h zEpdlV$5|_VnPjOwIU2V_6&CgjZ>el)aJ}jUxuIeDVQ*lx;g})VDv%J;9+EqR@$R>b zZ9){lnWo@OH;trxE0L-4vL+t#KK$|KOBA%ygLGZ-oADC^ni3_eBI=QAs zH8)TiX?VQOz-KK}qoVJdb8)c)|M&b~<&@#15Fz1CM=O%!@fGNErhhnG0C0MPRM53i zr37tgq$>@}Xr6+u;iP+{rC65TbWr&yAJ_My-cBX6&+nApvV45=me^uc;gMIGZ={9m z%KgAB^v%y|57lp5L~__?`l1PR)IvmQ%B#77q81u2Ju3>h&&R~apEPa>X&ftXUuYNU z8_3ddywGtz)vNiQN{Q|2iXGAuoI3He3`1K}=xxR8QXbZ36#SJv{E-L&DmIbrt%CkA z0I_VCvlXd2I#?@1rtWXQ>Ln}l$5@+S%YH8s+RRoXxQ z@*=IMIfbv6Di)AXU@85*;|BL*Wqy06&P`iqTEWc7_#c~wZzGxp`4%c^ z%Ix`STDp}dzZIBeaBGnd2md#o2f0A7{h!aYe=6Fl8!y?dS~`8Guo$~jn4p5!sw|G($_`k~CQ$*fXZ@Yrke4FlnCQ1JsJ1#%pNozqGcO2g?W zr9ja79>-BA*k>NrRrQ?xiFjr_F}ohuT8kv#Sg5twk(tQTO)S->!#_fT?OT>O_Vco9 zybH5bfO;HPF8AI2NbFqPdrL7_3*+_xOjJK$g6Hk^!hD=nuA7wwm{`e^IJLrLj7@PP zI81r4NvO7W6Mr+v+-R;`!CqV@g9OTEP8oPS=Z_-Q`*fwe0m5+dvUg=plq3yK7C>nmFXlk3 zL%NegUwgkv6Pd+3d5pMv)(mc*2@y#!tR!>4$njC!dxv&?TPOuIL=iHwn*YjmZf}?x z*_PNg=j-(00PWU~I5z-n0~LLF_Qn>K^ET@7muHmFrzu`sBzJ%%wXPW|+${Nk`0p#< z5)Q!Na7P5r?Hu|9Mo?56r;Wj4ZPAQQLf{5C2=;=Zc=g98{KYu?-}qPZgk=JLV~t=- zid>O|-~IM?p^&pmEPoh3uV{RV%)1*kg9?TBkU_sJ&FrrxK^WuZ=o^%%@7<$frEyw< zFgx@+LSAekI=7jFshwl6#&Tk1wCGW2shLWed;Id(cy6WvDZ9W|0sKrM>}L!YpUf>5 zE2DliFMq@aluHL6IdSbg(?WKH;@U|Y5+#jhEz(o{(DY4@30Dzt_jBrA`9n<}b_TqN z6#4fjeV^6eZv($0@+{LyLiyeSnB3Wyc(0Ip@to-9eIe=WC>m+J5l6IZ8qIi}jX-u9(9qh%hE{~47p*W!1HXl+*sXi|P< z7c2vBJ2S)Rg>Xz+vMBTPs{`CK4|IKCB^I%i9e6B>q$5Oy6`JB?iZ^+1lfmz!t41GR z;M>I&Clx-oR?4LGthIYLI;W@d1GES4Pc5CsCuZgqrdWP(e6w@c|3n(gUbiwrM0O2w9MZEU8yQ;4MX#9rc~M5D*sB+l$V-_+uS} z{j>KwC$!@&l~CN;|M-~tPE}!(^{>W$IJdAYrio=ebiebyxyl!7+86M)2GH=_xO8Lx zkC}T+EOBbPa$JxxM5*Gl3VSb;_+1`{dpQ^I(;nI*YC>TYY1?|RFya(Vu`oP;wkQQs z2t3*S_zpwW-NBpqms-GF`oI?S-9NpXZN++ zh}WO8Owi(|NYAHC(w!#nP%2gOKkX zB&S0HjEu*@4`=*SO9#W^U&jUYAKV{WHebu$>z*9MuU+zbJo2OY?7MFhd%~&Ca$V%) z-hW5>J`4Ao-#Y#kQ3v--q%$&H3qEs3hP#Ev<6^S6z&*Kl{m{C;2aN`WldH2&yA ztG9eK_8aQQ*GH5_qovOJyK@yz0w_W?K0(Jet>INrBqVz(N7$jIP{E6^)9veQ&g@$h zQ;id8VSC+1=t4P`c9;&=PBZ53rNK0xW`8sI!?UB7e&RW1z*Zeh)~?eN$Bh$$pJN=e zXTw$7BC+#LTfDu?1ZQgPcOGI=`aO!NqBos8FXi6vU#zP(BMD0r5>62n8)>ZXKL?9< z0?h)Rj*6<5jRtpiLa^gQm)km%wBS zN%4JJo`l%_kAswb8S94vyL`kU9SMIL1PTYQ^xz$Unz7!Vk21X4(fG0D`d=|=ETx2u zKe->)a}F!^;kdV7S@0;Xr*7C)Ko@fRA{~Y4jtW^LMA5c0MndqMMocIBgL}6=`S8(E zR^wSNZ+bV34~F|2<)bw6oXdh=+@_{xdyLkX*Q=wYxFvL)PbhzuWSe6;TplVD(YnqQ z(kJr1=`x8?UPD9Kvmi|3L9vE6o}gycz{z*2b-f2G=ctN}{iY}~8bTxe;t~OsSHs3O zyqD@p6CEX6vG8H7H2+EZyFMw}-@WN8tE#SIfREHltgEYd3M*M3F|nplz&J=I#qyy| z8^`uD2{34DT|okGNA;-Xd^poC+&W=gAc`TSalu70=aT`%2dfkE@lE#mywf1e_~SLVzll z@h9I8WFkkmqcv_cUp}>DY9wmbREuflv2QGI-RAPG64;)z(B^7e?JelDyvw$3W@_Xt z&{yUC>ngs@1>R#OcW1>5m94{Wttgok136wua7PEC<`rH7 zTcf7afB!Vz-XZ@msS41$Q5U8n`Jkx{aZ%r*HUMM&T^sx^4cVdP3F;@Fo#;Q>>uH)( zu?xjJOM9>NuBAJFiBxS9w`S#gr+4f84^IzB+3<_7R2f_(6jYp%VmwKnSh7CQtBU&M@k4)4qEjrB)i6XCNV+tavnn~?BsfZMAl~0hxXcvxbUdu&&)!-APsiAhGh-j zufN}P`1|4I!mV^Yh%=Q>ZTMR=S2l@DY0K;q!3Dm3bPJ*CFjli}{IXdmB5yd#bqQQPl<%*kJ@7bC^Lj>42`BNBJ;+rzYeLUh z)2zT4@8b6v^^O~GM!&ty>Fg5M+JxFl%d_}?i65e2vW2IEhTh%tDTtIrL*{_P>`Bp< z&TT_F3JgzE3gp}8AK1TCc6Mo>D^ZWiLsRyj6ZsJXI(32@4p@z^f_Q3W;^5a**P1lG4=*!3_VY!6s3fR#ik zh5%-Nt#dVqRUFC@vKyA>@Wf_tZ1SC+o{sxHA`P+MAx1`sJ8;PXs^*ll24@Lf&qUK< z_o3w8mGp4m-s-Onvu}F38dP?aYm6i^HKB1RKk?h@64jm-yQ2xijyIWIWh!C9cqY>( zbT#b-M$bq~W1}+;K;Gz6WSfIxm6d02A3Uy&UHe+ji5IwKeWI=P1!lsoaZtClrdHZG zO=wb4LrhN_TT(2`tJ@o{_*QGdjh(EvB+E}ll_5IPDvZv1`tWMIO8OGdNwfS#6@G{( z{+TYKl0Jc!1(V#kT+v#K}v%Vs`i?G-Z5t6YsB`uuVxTMK@cxC2In*E>{FqRvy@ ztzcCSo`^hTDK=T8pdA16JyD2V8QWuVAUSTbzd)D;-4djiOFR0MBaN*a`49(cW&&a2 zXu=wR(RU`7e~+y4^gPgV2;t8SNHFMOSwruO6uE!2Bjz(tX5LOzO~>g-z&(JB?)CXfUDcmewdT(Tz^gFPV>B2si$!eP#u4M0 z662A!V^%Ab8#7rvGN-9#a#&wJ#|SocR)sCg1@BnOrCeJ!sR8p(S8iL|_5{)yQn>H7-U$&g;W+QxyQ_F8Em1$anp)Y4Ks z3)XQM!Hz`HTP=qvWN|BQrbkly4PGFAZg**09&?L$rO>WCZD$^>^f&5~YJAzypez>c z#(oK3dA;YD%uyYR|1bcF=DC;cTC76E(=RQ@^Gk~bg@qkO@=a8!)_|w21>rbVDZ2jY z=cD$w+9$W}q0%a2eFC1Ng@GG8Ep59tDDc@1Vq2dnqM-dEl6>p(W^%EaN5u;1Be6g&8 zKhJ+JHrO%YK)S(9>GwXMc-`0S{kFuSiHSMFMz4wuB-Jm^>%H=bd47ocwBZuYR^jwZsP@D2}} zP>PIEJxm7@j;H+n@c;iOZb)p4q zaY(no8+C+_0N)w08|8SW0?LG@rnv_fAKU?f!)?=U2J(6p|4JH}TE-Qy$T+`)kQ16f zyK=~NP28^U4B`{tK#@k`GbZ3LDNi)dAJ=sM|~U>W+iJKZ!n5C2DXD)#TCZ>*}#FEDJqVlArm?7?y7=k~a9E&Ih? z+kJC$@4$>XUx$k@%eI_meS1yjrk)v&U=#9^{ z*=%=lXe3Drztm;F`gkUX+Y+gy7G1LfOx%&7pnwGG7fSmn@cvN1slwa{3jt`LPDF|+7h!0vBq{)v% zN^%5jHIR)GegTgGEk4bRkGQv6Qd>4D{O-leqwd@Khzcog2#I~yTEeHKTstZ?he8U} z39wq*3Zi15dNb)T`^F$cLj>$M9d-E~{1QAI)GKmZNBIo%-wEd@=rzpF5B^k%nZJL| zXoP*SOKH)Wt*MV|8yM!8SxuYY;qQ z>}T989TLth1{r!{d!y;0ve%Di_I>+1^FG#EycqjLSTU~E-td`KGFp3-P%->UXm&G| zNofNl79pHh4u9gnEwseAtefIs9E2iv#9`=u24Jq)3H1OXcQLcPR$60oMN#HM*0~5I z&aF)KZi?vSgONX9#R=)h5S!vMDypZ>R=;>Vrn`9XmN}fdDD={Db$85|qD9Z%@U~zM zmQN=W8kV>sTCLK=%|lq4){t4Ff35UL>>grF;c4Lpi5w42ZVrx%lL#8RR96v`CWvG8 z{;O=!NZ#FHGlQoLdL&rkEIkKiwKPSrn8?5-tf4Nsze!YoaFuONj3l$jgPh zkwiP9xTqa=@5fodSTEJ#W^IMK_c71ThX=#jnU*&=)E*&@QMz zjGcXDtR!Qn=@*d((u}-1NA# zKRr9O(&quW8*j7YFf!)W@4#UX`GJ4E-1Zy(6&ZsQ?0x_ z3}fB%-Nn8#mdf?T*|%$@S@P=+QMPDbnCMF#u*l1}8h-zZ>9B*dzQxd26H>=eY($vg z_ULBJ1-yh{7FYzw0<%6PwfAmn`!g%&2v}EQvVV5^L zgb&bZN~rYALg}XXJ-;E})oQrjovYkgc$!s3#MeMG;!Wwi@?eL}GymfHxq$mPefQn| z_bI2rqRdFt*#(t}v`S$vXA)Ou;bR(B`Lb#QbFNfM#nQ>+@?JL6pQ|`306|@mf~WRI_}NK71^vIQJ7S2i(nuO7S-ps zo1L8Pcs@&9G;%kv;uVP?tVakgd1!f7qPhAF)H^?9bG~NNF^wy;XKb=^78xEFrNa*9 zmP$<9s)RLrP2*f|lXTYYM&TT|uDR|F zG&xCjU9*(e6R@!lYld#i3|tt>us=zr_Vg4&lkJ{0lK9auI?B`b*vI9Cr-oPJI?}iqE@CjyUfaft*~=hBDgy7s&PVgWOfKFDI^y77~xE zZ1UUw=^eW0U>rH#=_7Syd80%<5?830@%csuk563BaTfRQm*S_p2GLz}%;nn&JZ7&? zKW(*B39@Vsv}!p@dAdrN{nhd!C?|9sb^)@QDDhM!$LH1uQAPTi{yo>8eJ`RGMxQJA z4qJhF)AO3Xqt+(-f&6(+g0cV@xav`voe2lh179nv;cK(qVCaPw%VsNtfv6RVV$yPYVb>YG+}5UupObZ5=Xi$x~tzdZml} zk|kK#V)eRnj@{72%f|XJg?by?)9!IYL(e)V8*h>>l(gb5QLM#7?v2;z*>^S9H*^+0 zFxg_T8-AtGKmPDd)Zt^~%Cf30C=Kl%=Dd_AgqNWyro-}~v=l2biH`nz#iLKoBBHj?W&RBT{i#PJ|}LZ+*6Tl~)NX$*h*UGcn;_v4dh zOFnw@Lep)9`O~CvJ~UfUpLHz21`4IK(6Qs68-wj zFWs(*SG5d>9aHgoCfFACke?--*>=iq5WpjHCZG1(n}0gPUn&puUgBQTCQ8%74gfa` zCINHzukX!8qyR%sdhdgy?L@ZkimH-+T5g)VR5uS*^caxxOXVjoiS>H^n96C#{{yV)WI4(y{CaD61|5lt#F_+;Rm#qO!nwEHEN#+ zW%bZ>P$_t+Ua+?^0!RftJX*|0>ouBw{jmSg6zE&v6y}X3RdyRN!z#PQ4%ybADrtz~ zh={P7igS`_&AoChOci^gmGfl#Y)ULSO>ob~ulRmv9|r?Zr$CetUwBedvy?hf+W2+U z17gM3o)ja%OQ_y_kqIoSu*x+L{Zlpvcv~dv)Aa&VXJg&7Sck^1t=lPq7}zCkI_5v| z$`bTRrN~bqpNrHoDtwbVGBrmaeeFUiH=@ zJ*uDGK|z$KulRIg*DwzkBZ=f&T*NYUruB)f<3ikIOQO7jnRc8E#SCBqxX|;V ztMOfI_M>FD)Thr)B$@5Bs(EB|Z!HG{4klT5yQJEn z$3y*fQuJwZG|Ic(^)@n1e!B#{NC1XK9+2_O6Gr1v0MHejjJUG9`9*8$P~V( zH#`agUKR0>al7_3WmhoT2X*l71;}%Y@FyZTa8FkB*OE~+6uLGr<8IIXDcyv zPwe~X^PZkv5uKufX~-5PQN!D8+iKim!=Nd0?J}4%O}<0@-)vw)Ggxq*j2 zRGas=dcboG;BBppLLNlv$|FY+n%^z}1w#(&Lf!ZoH7BgNG))2t8%g$dU5lubM%ST! zxTR^9iImjE(j{zy6rg+HSY%Jep#Y50Pwt9GP!|=-1Gzsl`y(x-z-CeNnWhGEir*6) zBNcSmiyYWjC~y6&jc~a0@J;V&cM6bNUX?PrKjk>~n;>EaA*{PVK`lL{u-BlS&7PV% z4$zGhz-%wJ3THtt95C$n&jH$ekOH5s6&vg!Fpl98nKs2)y_=plHL5*|kRYgv(m&Q# z_z!QfZMX&)@>9umH%~}UQ%2XH?G57-CefcD2QPaGD|v-oNKUg98>^}M+tBTM(c!vk z`01A8Qt_x>_y7+I0RmyG&d+D}OBvArN|vV$yfTC?w&&1&aGsAT;5bQ+8}>uId9*JQ z_?HPGeOz=b2PqYjQYO$$=6v{yBEH;D63=pD52vBJo1Q2X(M(o3UDU^B6GoF5H#zA= zw%q!5n<$<1lQjSb^k-MV)4fggn)Wl&ViAAZGk`mtnqn;RQei_6C_Klc2bh=!B40j_ zSr{Qnx7N)LPE8CnZ#RD6FrL|V^Kw{#2ZUP=7jl@kNB-VlVX|-*?n0d4T;haG>OzbX1VT4G)z((g$~J{75c9=1~kg1cdpYXHcjj@*FbIAM&(;g+wTvyr*FUc#9FjZeR_ z&*_RMBFmv6yD2&DJ*i{%Ydz&zv^DtYSAGLuF$3NWJytRby~dVIsQm9X_cT-c4x6cBT6);tgnWen zO!QQo&OypDx3ts`T5ovf<0y@f0tEaFKS2u_=HDK_{y;BW-P&@Syocgkzr@WMN^=;% ztx!WwxR|)v~SaRm^!6T*AKgcr$2-#3hX)w`laPYJq_Wc12>_Gm_ z`7am&d(R-HkeIcx@6ku7?O)_sioI~W^-Q!eJHkpiUip|LIxhv#yBim^ov_x=kCI1K zKKym|G4>qHywL5aj}z_d50)jZDOW*zJi3b%)m9k3+B*h0mX?ObVy>T^+8xq`%u%z- zj=X$_c=ydzs>txPKyrz0v|in57x7l{tSI$}VAR*B#dmhj^VP2%Xdtf4e4Kyt+49C4HO?}l0>`0f zV3eMDg(5oG(H0-EBJbN(S4k1{@q&B~Z0P0Xw{jZF^)EvT#lBkTeP!n7u%NA4KI$3K zJmF{S5Txw)wI|;XR*9aWz89G%F}u%A`p>ej{Z3ZbW>JOQmnB&3R4ZTS=NM!~)Yxyq zr+88e7%(wgcrrW(} zi?R!~O`euZI9sW!BKAI&mtY%APV1l(gPCFVp5B=3g`ikY2BJoAy3j*L$%^0GnSXHS zs?whYn&t(vGV5qsRm1OF*5A0V?=8-QyNu%6;^&RkPZoOZxJpVjYlvh%G@V$?#yoPL zifZNxfl_SGMabHfzv})&7bMbl{xQcIiF4_1a4=``m=_b0I=K6PooQKWed~)#pg%TQ z^s?fYg1iV1OsSV-DDg>A%gVO2Mdh1I2ljC>YGvtfELmSb8i0EzujnoY5#svK=Vt_r#pWetf=e42-XAuDl|RSW5$aVB zW||IX%d2PCn3x(>+r~vsxi}hojr9d9+4%tf=!E=SW*=Qg@LFF7b*v1Dw<;fM@pXc<->2TKHbO!@!E1YdExVruk*fj}on16%yHl5^R})`b8{g<^2bUb9wyi0zFG z#m=7xOsqJSft+sW6CtD|l@*Npke}x`>%q$A*1_gAB+*D{FH|eLtzoCedP~OPMGM7X z5zmG`MGWJscW7U$6Z>22=0f`&`pzek8GNO;t?*9B?#Hvsx))459UM`*(<)yI= z_3DiHj&rZUC3h4^lKdQ$^df?2=HmEbvO%aEhM8C)sKlLaWvkMA7>PRxU+{AP&z&!| z|LT^5TS>q1$=_e~0TeMiUGs|ET#;2A8PdKz!khDg9d;N~98V|vA~#cMZ;_&V4=0R} zYOF&Z-lMzxGY(UiEZgxR1)j99P`6`lT$~OYvJ*z^I`oKs=f9`I&5u7Ns+VvjsUvok zqY1N~C)~=!9BwlEwr)fexiuMH1rg2<1Lpb8}E<{0;@Gp zNI^lVXN6DPoeE@6nY@j|oW#-n5q`Ywjp1nh@ieByMJ7DzlrWm|u2@L$EF>>a0OPKu zO7@qJy|uTmW-lB-s%ny{t*v&9LxP9T5lHq5sdh6*Pm(bOkI!%!5hCvkXlfqJKpz?U z<;&=2^}y8VSsUs|J5Iv-dK2g3;G^1#(lI4u`dx9_x5?BTTR zfICdV`{*hAH|vRHYj5E9MoZ*$HNeib%s%2wv6NhSl4zc=Ej^!pYU_%Dh9=aQANyaRc$y_%iGKJC1nWykk zuUVb5a!Ym_v31pCqT5iL>Ou;}Gjp&~T5UYito5b3E;5iYRW7S(suHW%`Ig$UR?9#P z7#5IDA*GW@0;zm|gR4();4!4lkUNXz6Jb!m#wx|3H$L(Z@XSpn&@X*CrbB0nGq#p_ zM2l388r9xj&SB%rXI}s5w6G@3m7BCMD1E*I>7g+~w0zdrE9F|+(E+>MJ_e}7cOT4< zh<#@r)Qtp+n#Ah5T3G?8Zth2qgi#UKZi?Am@{@vra20Quc~fl}0&znn2F7YeS4?qL zL80m_0T{YgGl_f?eo!zS(`JEd@%#5$z@MO0EyBs3Lq#Rkg2$@NKPKgXBK%njPfn7H z!b*t-_Q$w8j5KCz$lPu~(- z#i84U&eJK77zr@87YsfWh>01m@OEuR0Ud@ZD-3Au^u<6nP&EbO2wjgcy#ay`c6UDZ zhG77wkk!#c^>##qr|q}aEGS^Zs*)!W-{li5w=6JrO~`nr3qtj-AR|AyAf%x=eDbON zJo`cTZ~{!`1!;r#58h#C24>4<-g|Mu53l$&6|g1RUVklRy3me#`kGvOZZyGV%*Vwd zouH!D2~#5h#%zUZP!U6spZ4((MP#LyIu;QmN4u~mw~@KWZV}w`IPVA1Z1sqk;u08i z?6i!~zbqPPJ#L?w*MqS=r9tA{oqR4&H;1Ho;6PE`y+SyAjB~xpLxz;**G{*4W$OEo z+U-HDba+IGxqY&^r&{B?Vt@|ObkC+*VfMx1NuH+lSY)WJc-xICz{PwcCI{|zrM$_$ z^g8-j>t5Y|pVFeV@p7p`TkBeB!q~DB*AHlqLW)DAoJyFGgxN~pv}%{351_upf>xBT`?#vXkq-yQysP3kI< z9NEJ~vzQ2F>yp_1<#e8t6|kQ5BUafL8-TbL8IY8)w0lee{%t>mm8Iy*TNU#_fdU=z z&JQ`*-rG>$Q9|KCQH30F236eKTNwsQAO;XK8-A@>EA4m}82~)h{{GuXC<^ei$#MFf zY5yC@81i;Fib#mcgBo1#zpwj7CIvyj31tOzUVJnB5}$ zKA;sOM&O23H$^}Ag2SB5jrVadRv}rd9HK~ShBHDpfx}oO>(ZCQ#t>&jQWrH5`ugGV zZy+-?9Ry-n6v~nH95m1Y?_@ayJWi>FXss@%r+=0;_kDfKJD5hgLC1Qfx_?@^jfHu% zLFGJNqQcs!ekr|X5hBa`3(MLc!Y(COud&iX&bhe4#Ce0ZC zGiUz(mAo=&;p^^!ampj@*ET1e>g6# zBm^OPH}{~YntHC5j8D#9sj_a5zN=7&4u`%Ym?rVw`}x&!kzxzOmgRZH`c%smLdbnw z9LIwLGUtKIamm^@ujK1zSPR!MAABEwE{Xqr9)_6?4=(W2@Lxt&s@~q_I58Og%&vEK zM@Fa~B&GcP_}oN|QD^Q9>E~u02-x7FHEL(wUEM6S96-csLe@FX|b>10#c z47XqNPh1_yBK~uQWkV!_E1WNU1Y5fg58wfsmZ&ByBg+GrRL6R|MG__)Up&uh9k7=C zwwVI_sgXkzGOvh#owSdjr&HLpYfjg+>gz-$Xz}T}5K-@W7E_}MM9kHE5wClYa&oMu zTGItJ6t1T1J|K2uqc|g|P?Tq{ki7Nebj``ej+Pu8_9R6Upo5*|R_B#Z0FTiL78uKlF4lb44sOvVVB+G9&g)Lj8-T+>n>a3n> zVy>Tij~HL4joOix$MuII>fsAix^x3Em{1=7EMY~y$FPfF0Zfvkq@Qtl|6k>47xT`@ z7V+HPv6G7)pFXS)6v3=&qA#YfK{{CBSz5hqfsIta0Y}e@6^Bw;aetUotu(QuKHuBMrO>hXUL1dN(g9%Sp6-b2k z!(3ws&FF9*00j6T4uL2DSTn8la3YF_GEzc53qt*r$dLV6+)x{yR(_H5nL@yx1J!L+ zliM44ZoS)odpa!TzgXVVUf6 zHlwbgKlCRitsb`wq^*=L#Gs za%`qJ$Kq7j{$ag2rRaro1^udmI_o;IBIbcQjEevvy(9En$wOCY5EAM8sb64#gz-_f z?x3)fT%L5K4!nrS~_{ zXFp>u=27&u-KLeQ;UKfOa;KGI1Y83!H$c?>9Ip6IIVh1b|) znctBQJ%0Y6FyXLd9V)sxkeyt{$4J)^YMW6zibw}&c7&1dC4C-KoS3;CX@t;5i3kUj#(Ey2* zo}Yhbc(u5s339sx`|aFb5N9D5?eL{iIS6N_SK?+80lPAZ*=+ncIP?i(45>^mb_p-P zT?pbYe!w34$=ScU-l>XbTQB#P08}+iN(UC=Vs|b0v~28NGy$UAoA~^e`s|VXQx_S@ z6KS7iZPhnA`yV)4i$#MT)=gBjp4SJd&uA&4QFaImNRM-*_vOhlIPC2Pw%GAmX9@TQ zb31&-*JI#Pk>2>;JGcf}qQ# z6nY;;PM_sFaaVoH=ZbobmbNIwmYb}G+z2^~C#h}0AgmZMMTS7%aj%h09PR2+>ECjc z*9*Cye?_=gjBzYw8E;<<5ZwRd!#Tbf7b^}l%Dq1FxKz%_n7ow z&;Av8wkyp&6grQBwrdws)-FhScNWI^_)`^7nI@T@aFKG#6|xnJD&ZKaw9&HC`Ul|y zZfHBcwaWbjm`qDWe98h#Jv)|`L&acSkWugvkj4$TaaR9fu=}+HuUYaW#Lry=Ht9LP z9ZK?qkl%U;yIY^>Qm2Yg6L4)$J%~dxtqq)8FM~LEBDQ)fopu`Dy99cQ1ojOR)qgju zC*Z#o+@POFWF$zWpb}paH=?Ycec$V;V8a_3jySoB+4V6DtWwL#Q0ik{%e0+u%T=!> z@R%PxN)!ILApoP?vLbp#uTX1mAm)NkRm@gCU^8aQNL^)e5uQQWZWSt-Dmdwx5`ejJ z_Wodae`r%{u zPsmdTVhXZqr4tZ{J^nCdV>a)AgCULQe+>FR^?c*#<=D6nj?Xn4uO zYy|0r>uSzEz=vu9YLBGL=NQlRj@P~xzB>?ABm@yH;E2R==AmvY1U{8*uaa7eUdnSh z0V}MPeck?~IeCXgXJUHEMAJ#aL-zEBMmoze2D zdgY@OZ{57gzuqIu1ltaj(3gH&+`3+}$#hWG!<}uDlt^8{_6WjMa&AJGOoh|kkJK?(7b8E7=s=9y(8`yb z^$YtEtuC9l&3Y8%;TBApgNyYE%v8#Y@z;J^V*xR`9)m!+Jo|aRm{i*GT~lzQ53+H) z%yC)h#jjpCz0Ynr7wRO2m-YbV=16f$G7un+T(tUg#C^N$H%ib~V)8RF7f??JAXfHLbr`M%fIwj zc6@wPeSZe>%-D13j>JS+hw#L3Ba|OgQ=Bd>+h2G5)s=2w$UONVT6`nOn>hD=dZ+)Z zU}fh}9!JDYw}kMhuU|{!k}@`*@p3!+G)+k3Pv3XBR@YCE;@x%_J2JX`Us1b0Gf)2UOQJV{+l$z1lW!jBW}I_6I}>bpqwxE;Z+ zh*bW~5XZU-6}L9T@^vOSr;%R2G{=aDhsQiu+^J%G-A&h5rI&Gd<a*|;|-@`3u*mR4k0X| z!F}sHq_GPX3S*pGT?HRv+O7y>&#mSM8O_=n81rqu$VNGI`Gt&aox|=u^wX({C^S~Y zkIbb#{@O3LvQk!kq#W(Av800GMD{#WoE?3qg5RY26@rRb0<$;o#@1pLal2}3N3Sw- zUCt4a{d+>@I#cNJ-3~X17so30OqH~h45z!X5tr>c&uxYTbah7%SQQSO_K7&wW@m}A1Ky8EET*$1Z#h}DFND~W z|4clSy1eY2KQ7$VtRVpO%lX$A2NyzYeG7{J`t2+QTt5F;Hpy5s<@s$>>x{mID!!PQ zLrzQRE#BIyxdWQCM#SQe`g~M!9xmRR^XT@EHg+ZFUJ-fQH0WQ(s;M-)s`kCxqxDn% zQc}%jqlo~l%&`BQcWvqcw}R0iM+v7o^`5hzWiTB+^6CCMXFqk0(zmT1VhC&;nwqRr zpbPjqg3@>w(Ly|f7rl1!GY7B1Nk4vq?Va-)(~cu~+l%TO^7JDyKxYZI{;0&VQ4u;! zUQ8<($k9WiG`O^XMiq}b#Yas`#w#ueZtv(@x6b-frhI-aPAs?|;+tZ5Nu5=AM{^3wjJa0c*XUOS35ad```1-_u4@n+Q+Kl2?C|#QXnb_naQ?+Nj@r z>B&ioe!8d|-ph?U#)lK#^a<6PtCm=~H)!MC^>9^&Lqd$!Od)gjj$e5>Wn1w*@u2q8 z}-Yv|Mba`jaSERI1=M-zC3_g(A)0^YF!jF8wk7_4=Qpm0Z@72kpMNt; zzcBs%_Quxy#c;*(1Z!K`mc<9B_eZPpx=+J`IPB#E9TwHw;d@YQK0d8w7pM2tvg6%NDeqqpT_EA&HYMK+{2my07+wxVyaB1+ z4t)QYS)XPT7xlj}>$idW?|i*QdL}cKumaK=%b{{te>emje(o&d#Qk=>ouTo7D;W9r z>XqQ?TU%R~{OP^FYKO^Xl|a0FzYkiaXXx$3KI}|996xZP~C5t2hbXnKOY~S+>JGrE6QAtNZ9A8kbbmw z`AEyojxYL$KJcp%bFn3)8a3bV&75NWVA!?S&;L*k z7;*gfBgcX?jQ{<7JOTaxe?PYykY4xSpC=b#2zjIn5>X&_Bo;}~K*GzFz!dF%3{MEF z5Uzc8e6wn6>XvLoDmZEDfua9RzaG-^)w{|1j+NaNjZ)=XW3oHu={n3erT>4svo(rm zH`dX6?3C0tI}&V{z5LKD3e2yY?MsGujW;@D$CDPk->yc!;?9=U&p5zmz_2GM({edSNU;fz5n0jk}K9Stb`t?Cku&~~? zsrT~^E^~)H8J`e8X$YCjj=;@gaNgtRPKSfGhP34i&mTMc9_QI?;QM!Tq-DNj#Np_J zl#K^}JVC6BU$L9{JNYPZE=b4j&hI!)ok(Cl}JVp%d{M2RH6m*moCW zzGER#p$S6E4VSCRoF~;cHcT3Qp?hh8Z*Jm?P~>yT1!%wsliwe+OMoa&jUjKO#BRsN(3^lSxFdC7U>L-0@e8Vzuvws;8d!AZmN6&$z~dbvgj=ZTrO&|M^UAh$syCv& zkz`?rOjRCU$#rishKxLoTJ1C0Yp#FxR0b0|X`Td|c#F9TU(MopMVvWhUN}&DB4-D6 zweG~#Cyzlj>7&QjWnB26oivqK#No+il(_Sq)Oa)ejmzA3L+2iXZ{s zQripD5aqFbU%-lU?ROph>$1NPWrAL-+@5!wtjtVVyEk1GarIaDEzYk3_BDPT^n(K;VN+64a-81p4|Sfz z?RWp90)}4B`s-lc#7PZA2JD=&CHQ0}1^-(l?$vtsLt;e-60YvN4FQ_Eh;Z^y_F1a8 zoT#hRya&e6Z&!sCs2?8o=VW+_nER18AZ|X&L;5P&w^FS|o6b+*V++{Jk3+O&I1*qI zrC2%jF2p16?mG@m_bb9jt*V=VPHI;R3-f^&?fFmP_(#C>~Dov#csEmT3f+8SY ziGmOn5WzrH1RLU5=p`b(2soh#0#OhcrG%ytf{6@B6+$3|BqaIv;T_ld{(Wn`?|1*{ zV&&d@&ON(4d++C|@3QLnPee2-)ph*iPdZJo91*Y_OJF%#VE=Rv7GYsKfr8=s z>f+PY-KQC7<;@NycvHY2d6d-i{dj*_n{70rW*zWIXc+y2>@pPw3)y~lKKZ5?1lTsBqsTMa8|To)ZXAyAn7}{et)k=_ zGirn0F~C&6UNOq%1N7n1^l9ar-iG;N4t!$L@Jy;c<>(RX;h*Mhol7js;J^f#2K1MM zzkXFpBtD_k-YW;GK1w~uAPh|OnZ_7tUrwUReo-EtzxD3^jk7TOGSD_)74nsMk^ow2 zTVaa1+61igpJ8*phjNbp33R2r?-=ui8%DA{mIat`HRignJAXLx?~uqfZe<2GY^(xj%(0QYcCAWv#3IFw?on zzKQ>v3UH~-f=6NGF8mE1QUe4qUZla49#E^!&}U&$S>iOFE&L|lBc4(Q~AOI zP=whx2Qz0UE-3%YRvAa{T{J{w7cfMIAv1eQ>|sq6^jJp~5@0+w;jCo+Sf7;F@0-_* z?0xb+R!qiyqLZhmv46r7Kj=8pLXaU1&$K7uxq(0%@_wc!4(HN*u93)tA1eO1xcB=YdYbW_2k*h zF4TVd^r`d1%~gb4_r=lBV;dMep!W*+AW;uoW+OqyZT-Yi?1;25$tlq5A-h}xx zJ<*|U=J7C&@RI`^lY-lDn|I)>;1=ev$&0txVsvA*Qb_Ny5kAW8kDhNIWEs}kBUzAP zgVNuS>Q!}yIX*JSNpj<#FpWtZ$|Mvl#*F^6pM4%C`O!C1Xx8Bcwcc!726lu5eNT7E^)H#DBXk0QpMlayX?*_yuO}f)5NpA}Lm%X)#C~ z`%b6s3CcwlwRXh78!)EXuTioo1UjhtI)#U*ZTt~$*2;sX?obkCzfG1IXhMyQ%0`S? z)%u2f6$u!LAj4E`lYXWDysz(z$deU>{&T>(*4X(rvkrU4V0qKVgNXUw;adg#7bSz%rie}fELfrPSI<3CN>UHFQ z4)@M()p~8K(TX&4+HZwNa|7YL&jM`L%R09g#x2_gF%x-SNX~UD#IOT*sO*T^p*Z7V zL>bEyf>gw#O>w)QTl(KEYs)aD*3u_{#iG1+_QOsqpj)L!%$ADzr6Z$A6{vR1U>Gs5 zO_q|}D+9lPwxiIE&hS|HTVaF?`FE|Q|8mbl*p5^PUDV<2Z|nB={@WK8VH3>x+YEJ@ z+LLsB#xPS|IZ;y7%G)XLc1TOJ-h3R3A|u9R4LDI_8o}(p?`x;{*D=6rR6ENTS~)pU zIt7Io`RSJ}DhMQfU_|=^aL{C`Ea1N&U=_J(rGi%ROuzT5$&%N0^|SG%NjliKHzh}c ziUd9!XWdFR!_4tJyjG?v4(-Ac1a+(k2rBV`(-_ z(Kh(sAEe>t+B3O!Imfq;GZ;n;4}bs3&M6N;Kcy|l^Ww#$b|%dIK@Imo0Jzg)S+eu@ zXi?�H4Iq6?64kFrtV?H&dQy%4@q{*s*3zumBJ)U}`mtxfj?7|97M%5=q~ESct_R=i7TYx;JERxe?D(7K(=JS+LPO196_>+_3yW1L?$+zX){Lt!VxcnL+tZJs zyyb)WLZf-o61RL65Y?N7c(X;x@e{ubWF#%lntB$T4KF`4L>CL`HX9%1vkJX`HN6U^ zb6Kka<@6@7(@!BONK*Tqu9vP!?d^T%e{vJ+s~Ftcd9&Mm`Vr|_{e7Jm?J@5sR+*aK zwTx1AR7ih&`n$2ilC(iItsDEw9I6#r56yNU`@8*69gqt5Y;dqSj%VKYcuEpdN$F47 z)>j#m)@HN61icWOx`Pm4@}(kzv+1#ebjlpr+yhlJn2(oiTLG3Nis?M%jXUW9QK44z zIreR);z6I7{~h4xBWCS?E=OJHwD@s7yN3#>Kduw8(DU%)%J=?H(}y3wAn{+^s<#5p zm>rx-h}g@$C(D58n?8n^{(m{W6z_2w}BqeJvIV zY(B4XG?r%6i-j;Zs_8lmjxRp6Zqn^CqzJ!jR!`SVwqbGx)a2nt+hUlC>MMuzB=Th+ z9WI4b-cTvH)1te--!D={N$Kee*Qyla4)$fpfK%U$d~(IcgR%3!-3oLVkH7(ij)g{a zpsDQw%(dz2yv=J?=sCPlf}{8p0s<$H%*swNg{*Y;w)w)_;!%XpHPBtMZ_r?(-Akr? z%(=E{On|n|*033qhG^Y>ud#7XU0q!u{VuZanHr;c=E8#Bn~>vN8dI}+5fdht zb7KqKP^WJlAwCWzBDkf`XvZ#tu=}6mJ$bDl>HKfDNvNlEfBB+`Ow!d1qv@dFgBjh& z)A?z^do@D`E-hnNDt9TS?MSvg8GZtO?)vs9rs6#>+)@d46l%Gt1QjFMc9mj>rZ+cUcP+U#ai1-67a})+Rtfn=W9xq z6rn5yO*o$q3`{tsp&m5a5f8@Q5~+_nzrGUiZ0W3+M-Xq{njZYPElJl3;EZJDJfW0R z@u_1hX1}UkVkm$MzZ<5;VH5K+NSWUZ<2m<~>XoC9hR^eV&GKRc zTDKE;b+UQJHE|#TMOZ;J!qQH&_C!+-ikrbMFG|t@I|;p(0ABkxf*l?o&bjjH0jzXV z|2l%MnL{l3Alf;td06@(h#J^zb0Nxywk{||)Vc$q+M{$c4kSQE4~4yXW+zx8q{42< zC5@UgbV;S|b^TQutpglzGW?vY{P8^D$cQfx?`<4Zg}R&wxGDl8&B1NnuB`sdM>15A zo7d=aCwC!zDm<+=%!-PGHTqSU3a4vs!}|4YKF_=I@nBg6w}I-vGdz|iI&fb;nHq9! z<>l%$@pLHZ+8A~UT$c!R;Rm(dYd>o^U|&Pg&sqaxO}$JD8_Z|F54lecL1&BZ*j2nh(|0jx442b@2z zOH$ARPVLX*SGLu;F(@q$PJV7y1vZFC4S79kK7$9DX3R8FPIUMr;H1(Qnv1a}Dn?b4 zle#!#mZ)n|&jo|Y!$W=}^MwRXlMg|?Vz}FATk=rpsh5B!NtL#LOY{h&Sw}2TX&l2j zM%Ik;9uS*SXGOy9Jgd<)+i;huxM;e{e8BkXM1P<7*AN1#=03xFVcQ}yMtNW$^tp7P z#j>jMf0b9|hGRBG9*v5MQXlIa#m_{kvZ^4R38o9VbZkSa<@H_RLeP)E ztmX~ad9XF4YB6|kcGN5Qted5WuaqlW{AB7j3PD$!eO`|h_xvAu+;IWz%NON-0dz|U zh9tuwmEjy!tHJSRGpPo>8VjkE8Ap1Scj<#b!qQM>W#vsGw+WI{ofzdduO^`dHN}>e-q>)b1Rc zt+i?17D-EUq80BZg5rS;#!mEwE_CbKXRi$q%W%@@T1)Hn>QezXXi#i+WL4LcH2E4O z%+*UuvqX?@oi=JsF@TX*S{7c<>)ri$SG0X$FCu z&-Ut?T?0qcj4^J6*TWH1pm(`b-@qVwl18KHa@X>Q)1eIlJkQ=>K{6)ee0b#x50bkI z;AQ*p3?K#6p&;@#YYpO8B0*TZKdVc(${$+;Ueg8qjIB1wTQpHB`e5QDm>aKI8%{Hw z{~9%dnY!c@7rjy;#sA9)xUz)WH1H$`K>r~i(!D15d{+y?TXiYXA*xfzM*h3(e?#_(S_y1a^q{hID1uX-m!W9)&gK;#usTBng zYyHPf!I|v~foT6yEcrv@d@NJ(`uks!vr(+~laz(KjZNzvs({Zw)A#4ukx``nv1z(T zZ5s6C;(@fo2Db7f@69qZok0?JwpBaTU)t_o*I5SS60=Z5fA~rW@WTc^@0Oh1x=>!i zS!v1Zb0h6fP86Ly1PuVtNe(FatEWQ{3?zb+w#mSY!ko)IZy;tNBQk#$RHl`+qz-f*f=qRE)F8EdXD5y`vpc^ocm0M9M|L~P zq$|&ZVSjH_&y*%kA-&`FoU#s-AmMne9`e-6t@^*K3R7f3qc823hpNhBP+Az~>zZ9~RENxbfw+Ch%pSuDU~GNe*m|i&8KdH{yg@&$ z?c3$!TGAnr01qM*d>B65N2pgNcYjvN9KcW8DA3knmw0Sj>!}OID-8n&c8@UQ9g}#w zVMx3bo750VZ@}3X4hrD`_eFT)8%48x4NkS>=Q(}lPm5=Xni2142wY(hM+oV$GEg)v*u(0u$vqEUUA<-rYT_~oJvkB zPSAIGo z8N8(FUpgr&z?9RnZ0bN%sBENf{{WroiGR?w_pX>F?Kp)aRA`1ak z&cOaR{+bJR7ng68fdKb!NT&Ooz6+}w-nC+P+$J!xcUOc-Ma)VCJByjBVz2N%X)a{0 z5Hq=e4k&Iqi14JNqvIE@zfJ*}swmx8o;@lbF@l)dd5}%7ud&xg)h3XbF8l@0KzvnP=Y(%SAvkI5M)EJI zZZ?U8(tiD9ja+~3RsyaY>*u$=zob#te1Pur(6o&K=A7SYXbwdep9}$j5WV(*!HKS# zOsj$)5P<<3M~yPR>Fg^JqH}=vKIFNEA6z@JW%bVMCp#HmWGp7EDsTeQoW17aU zk%$zOl2zPb_Wh3H09~^s*OgHcY-{0Sc@z#KqZ^Rw@=*$4;a*xusc8Fyt5Df`j|>gU z=NGsT=yb;B-fXaa4a<2_Uel$#hrJh)jxB5M{)Lcq*pZCRN`%hkYNvDr`<*+dGg(0F zs)zc(A`h3c85gA|wKEMXFTa&kND84Od-X3n>OlZWr@Gu*XJ7VR!K7V^;Tew-@b!IK z>FM)e^#1}rUi4MmOkP{1hq!#df%i&;u0>kgpO6-g4nx4NM|@q+%F%ugwb5a4qpxjy zrHuwWeF=47E%k_`;FG7If*E!sQQJcc1-;oR0{~XdibZts6I0IT#j*ftcRJ_4_)1xF!woSn~LK>g;#oX9WC z1=jXD(^+MR_`wSu^nC$k`X7r}hvC2fxwgeA{)g4ZAHVS5zy&{k=Kla5UhOgf diff --git a/Final Project/fes_minus_nofes_delta.png b/Final Project/fes_minus_nofes_delta.png index d6116d3e66aedf0d894588e3cdf34977a9d9f008..dc5fd8632c8310e6521b394a514175cb87a4b5b0 100644 GIT binary patch literal 55137 zcmeFZXH=70+Xjf8a})#>kggy~M^K7LQE5sM=_M4UcL==(u}~6<9O)n+2uLUNjvh%s zs`O3-q?ZT*0)!;9AK&l&*8HBeX6DBXE)@eNdG@pK`@Y&H>e*8@y1&`}rlFysd-7OW zmxksqLmHZsUue&QM?9OF&VavUy;Y38_1x{e{a$$5(rCT#_Hc3cc5$@2=4>Bq zM^yZ_sEqJ62XAi=FIh1$*Z=(vQFl*!v9B2A1pPi?pEU?xYqa-? z@Xh=E$y2m2B-a|%)`(iM3vWmMpZ%bG|{KGW_hEp?`f8wU1mV0 zMV@Y90(cMq`S?6UqEb%(_g@d5GyU(UOcI7C{`-$Bv?VA1`#C>@F|-hWKAv5xfL80z zNA~~uKZku0{O{v0Plg%%_j8&vCyW30^S@93UwMHCr?wi`%Z7`M%8^@dSu7kzj*mv` zS`EaTd!?pIRK7*w7b7lzTcln|p0Z6gx7(-rFyAYU(>yOy{cMKffD0jR#%u7z#$iI- zIn-ba33^Wpug+Gy_%`VhyqY@iZ)tYX@jkwlHz^xA<`xB14D+7+-`I0rsB%(H)`fCM#p#+<|pK%Jq?st ztG^W9%JQhLjVzL=o@aL^P-;Y^`S-t@648}~dIkC4E-K2Ew(L(%+}+!pk``%P$#KLm z8EIM`&$A3sNcb$oVYg*|&{o4OpEt(z_%qPcJXo0P4vf7*b0Mv% zytFpX5%nTr#(yEkhm>)K**M!RtEx+|*oG8_55Whm&ZEShYRm5po7J`YMQrl!w?uII z8qZKeDTJ({Qy1la6fS@r_ha^`nj{8xLv`5Pw}^u4O5vZ3ECTYjTAJ{!O-@U3QI~HS zhPc;^7#91xFZHBO&>b|3g&ubIvX$4*?d5WlKhL*xa*d2@g)U_ZOEMcexK34uj23e3coc$G3qY&5H$&RVTDcd|rNG1%n=PS2QT`hR|XJ!I5&G}0&)P>rS% zvZ$Zvq^B#Y)aYnvvd!z+K%eoR`ch<{8E~_OajJ%qU;uwn3-sMET!5@v3Xp!&72Ip+ID~u6MR*4 zmYyS}l}g6j^PS+mtaF-6RkcAtFaJ~M@dCGx2{Q0i=gJOPKY7=t&DvhdmU}2^D)6C! zj>2{)Z(L88AEp`gGld`Hvo~U7R8kdx-Qz8jVW;|rWZu>1?^zaqI}K#K=t;eEi@ag4 zSnMyhzkDmhhK{>%@P_m#9=mJiAM%rKYuz#`f}r}Yqb zo6v+4m9DN8U(cF&_$n=Z@SBz5#`4C={o__Y7mg%?UXU#O!=qs_seAN8XC@1I2HwHB zItp_ybu?X(!yRCy1t)*OT^ONWylcz{?UeZeHSU%lyViR@PS{U%eEd&}M^Qx+~@`NJLpf4H30uh6tRsIeY0`m7FzAdS%7q4b5;f~IAM z*UpeZS9gmxB`{kCZ|k-p$m-okg zjpDLKC&w=@PvpI2HvL?UVTL78D8#lp&(#EVr3m`cgBH--5*0`rRfFI?7@3BW_cYE6 zS3Gc}94?E6Y@;lN&4afwdH1}Q^f~)n>t>Qd{5m-Ogkw1FRaXD{MuQJ? zu*nB{uSVbL<8L`!N~ep}fKOTnEE>QNb7AMW_(RC+mi-8@qm~L`3cZp(Yr}!xxW%oM zF;vi3-3n{0xY{e-9LFw=ESbY8zU{YFW7rI~$$C%kw?suWc-~T-?W;URmr4UjXq9iGiE>`7 z`NwlAD8PW#ttPx^O#zOwU&plI1v-)RxO>g!i~Ws>JZSIcNsgIS-NgkHY)R{2P&Iqc z_>4&&PF++uc)kj{S$8XYw_Fmz3MG=XiPDzaZdYCIEyzNokty`|H=dcgH7u&1I!7-I zHS{T#ax|7LPo6kkbr*4b;G$^M4KMh(;HYGdXk%aZpj3_D>_UL`)emOw=$Bd2uL5(< zaF?Bc=3gR$L7KuDltX6d$VkBpl~(IIQprRysL$oa?rwK*+pjx1OG<^_ce*-2-x;bn zDMMFt;@=XJDs>_*G_;V9O}15$&~snJFYh@XLeV1Dd&H9^8RMclft$Lu0a0o+rKBB z%ST#ROhS0>w}WC#6$SILno1!R)Lxo+!xQw(X6!p^H45qyu%yjwcU&t|7B{%EiF(63 zAxFCnF@AyUdi+7;(4!| zU1xzyYzqxF2tdlx|nRK;NussQf_u~w~b16uO)8)EYNEz zh9YeKP`c>q!OnKy*QGWF6KKlJM{7;$u_vzojT{;omStoupA5?4HbL*S9xsZG9nW-P z>t_Sk^E$YKO6JMqMrwZTjB1}ODLct~tt{(m!M<~ESw>01u^$F7XfgGhlwY?LpLB4C z2DjkdLGv*&EO%PCVs68PbWwr1xA-(JCc$*=qZR_9Lv8fV$8WFfPr3JFi)FON%>B$U zLFn>+l=Wa{&{nDiDB{4j%M;?cO`vKA{aOhhc8e{^MYHhYQWbXFx*6Z@Nx5W;K*wH_ z*~X&zeb#Q_eDQrpI@@M8NhkeuGNL-q3elG)S-jO^WEmm}%QrIjF=zyZUhI|ypoRVs zG~c-p2Xld0Dyr=(R*D=Gb@Rp?soM8VgQ6E43qB-mQrRz?U~_DI0~A@NOgOlC2-j(7 z9%v7>^mhSN*Pvc*(K3i-cQ@O%PTL+yQ_W;$Mb|UsPw=OoW?!? z2j+8A4?5`1*0*cz-RYCb)k3U)&W$aiE$Twy;&h)cUaPKUkj_FqGzb_o^U``Ry~TF< z#7TJWZElA#wsTzm&(lvEKvS1#vF%Yp{S??8Yl+oPC1%%pg(3p_?k(F$_gQBuY`0%F zajeh0d6JN1Vwc)T4L$hAZMP09ElM0a+OKPyc}`{Q*)DYtDbAns#_W7fcW(_~_P_iv zgVB2^-ij=glpV9iYbvgT&Oo>)Vh-hzEefKpSQlK<%9R& z6O)R5uro7Vb7w+A4W|_>0~Qmj0Ur1?q^&3q!|m9bPbmrGgP$2#9Q#)D@i^Sa=OtTo zO~#L$OhWQ_h{Y0I2f`g<_pf#sOV!l&B1zSMXvIp@A0jZLE`A^&QJ8S&x-vGZ-h=~c z^rM!cWaNd@hw0OYFH3%uTeg)@O)Y=}z)ekIHuLy;)BQ@F^0YV3skpRqJLqTFIYEh#M0e3yk8gB^rR~+F%{yHaz0LKj zeqi*Bbtf>eVtAaDX90N4+y}Mj4ZyKYYTijl zs<@EqX)d#%&6)`ho+fh_HAdsh6F)NnP#V6h?3+A(wkuyNeY9k+?ds>tQ-f*FWfLoY zMYb{D?JJxfD|JgWLSS7o#@#ENk@fqiv2_fR2x_}jSZ^BCVOEl{RaEsxWp{pgD0zLN zHSgm!RP80!*jdnbk_CaQ#98Ss8Hp6!h1 z9Rdh-%teuH!s+ZqE;BJ}D+G!E>^D`_YFe7u)hJC{@e=OipXW>-sCZTKtJtN>a52B` zeZ-+g=;-MTHz>ARDwLT`sA^n{u*}F0J9Tc9lg0Y#;okLF7}`B{FL>wIcawK|C0@4i zi~JJuwFU3B6&l>8T-JXU8DnEyVexe3r4eXAr3^Wmlum!aHplpyyKtk+RDYP-Bs;A? zs2qRF(qXbhR{5r#8_RjU3cnI44yS836YZvQ{^rqH2 zZ<0f=jMOI%f2OG?(b~cVv`?e=b#%nNUdUAg?(u`y$5-SL7%ofopx5)(=&AU9qm#DD zieZ;7+iHoCo|Os0gPBqqRBlvmktdA{z7rJMEmBu<6$`ZqeBD+vp)as)@0idp-IUc# z-k&PBptg}_@PbG8z(8EzyW_RggG5Npcn=}_t?L8C=`k-ZaLQIgGj(i_06<~_vxWa0 z5)li=n63uqH{shFt}S%6X3U~^Wf|Q5LTL;84?c!fh~?kkE|woqq^4Z-%CqL(%>q~R zn6f&k7=+aL^VfqA6n83xNCeY2a{wJRz{`GDfVk%xc?(>H@!Hd(-X?5g&8TUydH6N} ziixeed152GWH4)!TgjX5V^gt>jq_4WQvoHp#U+*MGeH`n4K_30Oa=G%qXGcNC^-l& z%u90e# zrX!+V1ctv}Gx~xcD-IaKGJwMOb$vM%$uyD*$f$&6w)BDFmCRXjE z{mpbk;}>sLLzf`|qypt~J0|J^Q@s4g6kCS@6_!$eF^L$1?xQONzRK&um7P2j^+|VL z93PFfl^NCMmrA_pxzjIK%BE^lgsijd`VjJh(nvc+ zsB1|jsbK$EkEzi#UXpKg#M3Y@yzF$-=cl=K_bgG5t>`*N+4Dud5<_>7s?%~y5q zGqIiy-LJ~BB?wj?CTfgH)y(+3=}fBuj6^bJQ5<{Ea$h=Me)0^R?Fv%!g;My1!a6$Y z+{Mt(E9EJBl>z|UxKt6@-0jbvW+iSsxh;<`bS-8==6$Uj)%#N+=y=eXz;!qalu8kYST99Rq=!WIN6cY+u{Zx3pSjgYz5%}@Wj%lyoEQ}rHQtU|{C-X6wL^S^` z=0yU}!5s_UasF4OY=Y-l^M3nIxz-Jj=ud^JHdNClbe;Q>M9hM~`O&ZU+JZ-7XZx1A zZ>lR-gZPb$L~Fel?z>N z`u*?uF`+!zg$jYB9M`^9>Dc6uBkzs85!0?+Nxm)_DML5-YF@Hi-HVO-g;*07(j0Ac zjKq6%Nb5G1eeWm)0JlodubAg+wUe1eEi6-d8%m~)7Rn6nni|_DUhe;}Sh%{mG-71g zl4yMnlxEc*Fw*#e_Epz8Llp*<)0!&Jp5F6c*04O%RiQ3^DWd&XaQ3&*J}w@qO^O(` z(^~txZA3TTb(M=D=E0l#c-%C2MMU(=o+PKZ z^bNrI0w)0rTsz6YQ}IcF@%FomCCI}oC!}J|FeSaN+i_}Gon?L)RLZIvOuUafd^(zV z>Lw4v4T+)NO!+3BJ5OzjOgz4x(Ssqc)iwv;b~Iw1dcmO=x>szO_t)i{HtT9|MaHj& zZJ^}pkK#+}oW#^b zhCGCT*6bP_NL?$){{Xn?6bE43A)YZhawDeUE&&%bH5nN8UVFo4%r-bc3L_H`@ zI&C=Macvlk&i6A1mO!BqQs_P>Ff3U4tH$8__u5K8D(w02U15>SAN(xd<0c@u=%Nt7 zm@@Y4xq(Z$4x(hzqcMHFA55p4=PSCn#k$s&Vdo5)?%b0!kgZ7~+uOVlOmY^XK0Upu z{PUTDv%$S}{Q<9jd86%6w2gBQs`Dg^`RV6!01ud8%Ygu8^Hq#7lGy_2$S&k4VWSTs z5;}{oKl2z%COO;K2%%iUFhBFH9=KMY;i)J|`tlELQqf2pVmG(MIX0y&-L=+aW(T=P z9M;p;lGoWNu;yl7H@2y8>ZLS(+!Rnh&w>*Ybl1l0@u;t10(CSPUO2zl)gU%-=@x%qjFF-upMG`4sl8kmwU+S*f!gS<6pN{r*ITsj34jNGb0&0Rn~!E53__bB6f;`N#J7Z6Idp2^H(o-q=z@AsEJ#4 zPgw*-KIo&(>^WxuVV=S!h>ccVK*hM8LeD1NiL2eC9DyxeMub7M7I0xog2v4bMA>*~ zwIdr$%nEmj^~Aze+~EJfgj!Yc6ggZbwEdshK<-N82mXhb7e^>$e5et*`6@q?ba?JB zO(i~C)62#N!o(|(cJm1WBBJRka$mU@xSwGF7Uk2Dps zKYa8buqoX-r2i7;$H*E|)LVS4g;!xQug-Zhb+Elq<#G?qNIhnbOMGiQk8is5bp+~) zG--&x%ejxz)MM1V!nftbn5xNhbsdOT#m0WTrwmTJDGOjyLeU&N40Axh*T4|16`2Xm zxp!+767JOgdTm$UxK>nx`Wb0_i|4b{J||i%_Dk`4d0VSRg_a9yeQCS|Up-z7~LmM(Rc2%pkwa0sZXS{Z^F+!+#5v zytAz;tOXDJe7#PI3wf3>Fa@O4Dos~N=c=7mzFBgB5HEi2)oq5A;vn3t{Ftb6_Fvd2z4Z=4Hf9|Yo4=4Kna(8meW<;);Ab1b^-sygu=wv1Ni$$T>WXJLC{@4htY+r3=A{vPg|d=EK71I2Z}Bs)%{R8RI#g@u zt{kUW$w!8`1#^-5Xm!)%0z5}8o3Z<87xi7Xj%G6`Q%)SP+^Z|I?_2JU%<&S+H=uTzl;gk!w&rB@D^i>9`v3lUHiFaqLV-&gdB6C; zWk^ffbpVeg?qqd%5OSzkZ0_jX-Hsn0m4w120dSR)wamG{Rlgt@4u|B;!w*2|Dw?Mr z%;e1biMH$xBKsGpR*I!?NZGtMtK|a`i&dZ)i1_&YQD19qu4?(HaRu05ZbK;2?xHoA z+@e0WFs?eV=X^sAQ5AvqcdLp~#OOhjIhiOeFp+(Ngt z;X)r=9NFKi4F~+eK}E`ToNmzJUU}%uifo1vN1f?@7S!W0w}GFeHwnb$G|7v9Fy9Lf z(3^UXD8L9A*jVU;;QY#M0_nYRMEWEy8PY-N=)E?^(R2uRz+m%0;g_2X%}j?_cmd{a zpXVODz@8^=jjawe#=y%*w;Z-^r>!xYI($UpA&I1y3k!+HfeSIxY4T+wv0|W39e3(1 zz?YD7?MKb+mo)A=XB2OGrB}5|*HLS)b}YGA2V@2BJdwh6;UME<72G4or9sdoR=5&Q z0`sg9Kx)lWz_3hw<8s0?``kZMO;zl|-anNs#NhDXdEWm3sBG-#ay;iU(0Gdd@oI`k zI;KE4WjpR`C2ghC%dTV(k5sFSe&!eR0fe^t`#}%g&O|XNUU{BVrrMWNBh#9+lxvfW z?Tc-vi|u}O#;*cd?|Ws7w}H-N(LIw`9+IKWt0))qO}?%a)ufDI$JXGRX;|f?!p@bU zcb&4#tVKIHcW1aMzazYX@*;KbxKrN;h+qYH;IkFx&5w`$6aDB`R3QF99Tvu~ZJp&CD>{sJuCnnakoRS#`K-_HO zo>EatUFFH00i-$Iw!aHC7@(uObKdgcQE#^kL|OO#TMj&vLOS!+E^+evot0C-bJ|t@ zkHsd?MNH7B9lqo-GEGTe0McHU+a#tUM_*&QozGTU+`Vx%zofbUEW67)X5;5!8)xmN zk7H?)fsar&8`DRd6!lLS+!_w7*okF$uBiGsb2x@+6+qaKiR`H?}#J zYTc^Z&<8e;1nj0O-#%QYYbPCdY-j%0fPc)(CV;i;ztVgik5E2rrfo**hN0z^Y3yAt zqGPc84Bw*34lX#fYqf8PyBpP2JXS1^WhL`VGb8emLX5O$Gukvoxg`59N3N0ohl zA0_Tu5Ad<4E`VAMEXgFSTn5ib<9!{HR#XbH5a^z$q-iYXzXhW<3K}LTyu(8h~Wk z=70T(TDwo z44_oWd!1X^2b$6g(j6L_=VgCX2k0BXH$N=bEz}om1uycSkK5Ak(f?1UH~#a=5B~3q zhy4F909N4t<%rJzm+yg9nIEupK3TK`8hA%=cs@?=Ne1{&6f#d7fwHU#rF7P&>fBAA zhn*Q@b1sR8CNX4&=7ZuKqt>Xk0Ix;m?=K~9vCGPu0p>Qn%W-on5E_zW`T9C`#+416)DTaZ))uCIxiqvCA5F1#9gb&$` zif@BZaw)B20idE{>7LTMS=l}P8AsCQnyc!{+L+9wlC~^jqT>fs9O}?j7`L}RCMJSz zzck@X?6#yxgzOHe^&TP6Q^15+50T!wXbGmH$$fr=5W?%@Tjs8CR@V|dg4nd0gA#T6 z-Kbq^uCYY;tdm=b&qN%pia3dhf&|klh%S{(hF+)|4~0`l|M7J;A_5V$0O-0BP&0G{ zUVZ=k8LLz=fHoZgn$d)43<1%rz+a1d}got@kz5-q|fRAZ)k_q$v$v)#y%ohW9tM)PYN7 zw@(4Nks*-cO5?n+@H_y#&HV%0-++rsZ33BlA{Y>ri@JWztY>Jvgk1CX3rdyk2|sCm z=vAvVy)D!7a9f_fk_N<~8hX z3l4OyXB@a^B;m?R^T*dGZ!*epg>l8p+If8hFCTXk5J?RZExGMxQ5vMKI zdSEq*Jpw-Zd%o2bhXHK5gsu8M5sL6I(=7leS_69F^%m}j4wB z^JJi*Wyl`Do%izq*1ypLp1hP214YmbjLaoB!GAZoJxu6V%)*>+mjFSEz(!!4RMo!% zfV_4-2zVL3QuNUK9|FiQbC3HW0v&4xVj?E*Mn#)81|2*Mc8%zhP}j;TX@dbiB3DMd z;qkwX-3F+!&x+MbKAPGOLJ%b}RG_2Q1#)?}*B^t7PPf(VNsTODb_wrO{c;3Nh%mJf z?R!$rf$Td% zRs=SOL9j*ijo9}@kZ>s}!+m{y&M3I8*gkC1dq}J5lyjt}4Y*~FLN#=*e6lb-W-FN>{|6S1d={RNYf*K2S1PKw7dUnk&lBVc!V>}CKvh1HcxmQyN zU{o9SK4yL>A8#(Ogc0xHc#i;OU^hX>JEZHSG8j)g*(KKB*?y&)Z%eY{UKa>Bq{L{~ zq=eDxN82*O&&J=A8pQ|dLc}0xv zcfki=)40fK3KSUdq5G}~XV#ek_rSj8{l5RJ>ZXH%IK=QoE|B*h!3td+ga#(&&wBbf z{m=c9leEzAa7x&Wj4k6$;w)vksIkPI9i7ghllh6`GlMj7KHO5yz+w}tXLhF-SC33r zUySxdf7oyTQnWREcF68i!Fpuv$saACHEyH6WaERE@B2`x0OmSKR1}S_qAtBW%r5?% zeVK2zi>LGER-Of9>upw8jeb9vT}pSi7|?d^UP`R`yXG#;U;-3o)|nHF-T73IPt-7f zc>1Y|Kns-D+{5D(IfH+Hod`MRZ(!j&>iYT=N)J@pvgMUSbyNVhL9@wMgYAl5$lPbt zXX;1;0j1kQ)D*l}5-eagIfnDTl+bGyTbk~iO^(#Q9oDZ_vPEYMRo+<$N6hcYQ4SV_ zPNpWAd4AuJNwG|RRPtJ@lu+Z;50A1A5dH={cNvlTpRXn)oKTw9BM90hQ_z_`tJA97 zR(^cU12S#p78SJry4|nmxbHgqb0ZF3IR40f=<_Xd>u9~)efK_h$ga)|jAF7p>3Ep@M{(K{OHSP%Ul1Lp5x++_1`w0J({(d9sFBOZDvCX3*2}fQ?qQyC@dg zPz@|h+aYnFn+!rMQR^G1THP@`C}UGu5EKRq1~6q^O!mQOOs9ZH8@<70B|{>_Sm-v9 zeXVO}$RIO32P(&EK+KY$1jt4m3m}^=kR$=mgMzUZ)RCpHkT^7H9VcJ8x(R$@$I_Zn zLGpH7sIa7(<}#~&h7J^qF@$)2B_M6*tjLN#U!GEj_5k}a!fPpL0(6dq7@}vlh!Go* z6{I#H4eUQMsJmqK>~N*LK4}ZI867B=SLG-~#4!$WlcIpLUg2g2rdd|tw^VU!)%_Vy zMaa^)tU;gc{KIh2@b5|Wy{W$k_B-oTa$I-7{IYZ1a$r$rm!DKx-0uZV`a_L&uKc8N zlj!8j!#Qko+d}O9O0Sn!-Ku*b`*#p98}lK*ZZ;=(mMPds<4OVg#qbWvmc`s#XBA@d zqpH!q6F|3sL9x7a7nbl_nf^K6<1Zo-4NYtlOGH?{MM~LK7Z>ea>TwU;PpTjuQl@Ao;0ORsm!o4Oc-Z7Vg^zP{w)tHpuU^U+yAK zdufm0+bg=;SP64LdJ*9C8P=H~!9RQs4tCJ2vF`ZvL~Ta`|w$BhOqb!sGO zs>y~@8i9;$4}?+rQpBxIx%MLk8KJHbNcJSe)+YYs6ZqMV7 zeJ6f|949dtW6Yd^LMq%Y9IQNZzVd(2drKtBu z(3@exp-?BZLh!(&DqRmf+FdoVE<{su(c|%92JjbFfLp}S3$e-ALMi67j3wGYLCX|} z?)10t2hmtt>u*uvYfvf)iD&9~k!Vw~tMw%Al3c2%0n=FCC?^R}2)SIigw zRiO{_vcV{*8a63ZQPeQz_=r*k1TyyYkyaMz3FH=lw!+Uof5agdG*8nrEsCjj^tOTd zRI|4IQ5<940iwW}=ECK^&EpQaF=-iMXtOEa3PHC>EXd}BGj;45_owl?HDi@bW9XpJ zbBW(6zP4FRr4a5wz!%QT?^faG``m!v%^h7*eCC%jd;YZc>B07xBJ3#H^w+YHaKX5$ zQ;VDFu^T+Szg(yd#6N|wZIiX$la2)=>}}X3%hQ)IbhX&gcz~2!XJs#K?$S<{+Xgvy ze<>=feX3;SAmnZH++YKMe~g&n3}SwcRIiXVHf`-(gX6g8X~TTlWU~p*Wp*LI8B|2^ zme4{A#N2un=p~0mqq4J1mz7TQVEow9FEZXHOndc@gxoqQvXf=$`JK-viwtt5g$ElT zNU1hsk2~!1Tbqr$wiE2(a{7_-Z3CqRhUMl%oIp46GO2%_+ypFJrv9&l&1u?yon0(2 z+oG?m!AceJbr;pJosUMITS5`q?%~`u%{ur)Z;hfH?5lr$MAy=nAf2_uGiaTFM%Qn8 zmwx-U>b(<>G-3A~_JE9tFjw4u_E>5CanL!##JV}-F(h$^Z3pa8Ti0x3Ds(7e_!zeR zTmvD?Bd+3%3F)7g%D`P*RQVYs?k~puX82iC%k|`1o{FNsDpAsL5m-kixALwHiRYT95)|4|QQkI4UqF-KFx0VJJlP`<#lFoZqOK zehDt>1fi*A5Ia5k7r-P5=p=$8pmpVsg-m<_FtJ}f=z?-e8+B5X4!L)2I^WsF;Pcbn z((-7JiCm2EPRcJ1rjJ$yM)S1_|LE|Fc6wHAQ}i1%%C(WSJT(u z8URD6982l5qFYG%WFGAp?VTgu&(mu&?34+b(AuD?s_c+Sm0gWft6In$q!%!)uY>qn zsxO$)E+*CX6WuAx@d^t0;-lNgm0OXkipRgdt>=sB1}+WNhwn5p^K3ePx_oA3tvV6< z#pWh-g$!;;&*aI0B@S6{hZz!Zton6*)tba6RVK z(qR2nmG=ki9Ak8HRc$w?9deUZrsQ#FV-cq7_)u!l5rAqSo>|?J>&jHvKv?ZY@r+Oa z(Kj`^$&Ymhr?E`Z-NCs9AAzCVUv}1;&e`_PalRUoIwyJhmQgbxoNqQngzyBEdDiY% zAi4Nvwt%FGk*0OR-vMB}19x%#KAhf6!9uwW%4t@ui!Tx;>)ZCeaZ@Vhn`>4eQ2}K5 zm3^Bdoz3Ac{8@U^Y6$}eV6zT_ZIYzrMM*OZ;O6e=mD$47WXL@20pSXttPb=ivzt8X z5?FYVfA5X(sf_ifF97n@2DngdhKdrdd|Yb=MeLB)fo8bRHJ{o6xJ}biN?;X$L0*6( z$~tHQL;zF3$(*5|9##`7QOPMr@Z;|OI1ux09R(a^MTwmEh^UyTEkPmh^LbpzqVcg&Pn)8{ej>vvd)a;j=;1mBS-_U&BQe7GLw>XV`Yoxn+h^K)sHsa zLt)z%!S;X#l-Gqw`GiP;kYBn)UFp!S9OsCkgEqP?a^ZOfOtqnW=kVD}{N`nIK&wR`b>&Sy^Dx zbV+H$+1jMTZ^t%2NB(^q4j3fbw#2VFA1>w4y`##hzce5q86 zlX%8FIreISjD6f82<63&>4=ufX=}^Oz1an)uk5KE;x}UX4xO)G56y_O*3mOdTTqTTPtC&jvYg1~9<_YzW!zyw=FT@%!Iz!+zp@__S+&^> zP@m)U>s6qFTLl7?0VYVxmdk0aFb10$j;#KSDY!NpOz1`09s)TpkB4mk$+k3!{;uw* zD)MVMkEOGK<)AUP$k=GdB;U%U{a8>)^|{*G@9?FE7YaD`IEJqBU0_e|po`jD0M%KP z7Jk3dPV$Pt%=96b?cY0OHE$0@i(qn9Px4iV?q~x>flTd-CJ2eL+p2^$ab~ z#>duW`)MIKFD36zS6JOmYXdKJbLg+uc2)0fWm7~wro`+p;F7IS7hWwOqO$_Vy!dKI z`*>+;?8|g+%cMw+U7&!Sz1v1`Egt|O+r&QLOEvcMC_PmoE%URa^k0dmwsbBrq>grH zsjXIFGh5?sMK3g}dv)pScQYWs*)ju>#oyqll7YxNL$@$hITYQaBC=@1-Xz5|b^&R^ z&^3m$nn4cA9riE$MKo=He{_h)P;G&}s*90j@4l&?d$)R4Wpt1K1M_^Nx<=KdYJ0H8 zegv|L6h0?7DNzQIJoeG*-WRKhPx)7tjS^Y}EzcqMu6JEro^sLg{PYozRp4#Q;*VPZ zFxh;-(uPx@2}poKlM?Z)LggP1{eUKF80-t|VxwTOtO>r+cw_fR33sDCEn;jXVjP9- zL><WVi5a}{~_$PkrW+@r_j<rRoyz#1?4Ot z*~6YO8zQUB-?_E%DmK9;6vt)~zD<$5TcFsR8I3GxTkc7HPu?d2VUs?6%b%x2IDZe| zs$%~fg;`X=5JB5qr5%Ei9m2UrJ#{I4DMs<~Yrq63UdMwz<~9V6DPUh%9jf$iyq0Bh zEhn6y?J)!N4mx_Fe1S|J5p8R6b?MBUViiq4ImdwG?GAgBw0V3aGM2a?(ARu??64Iq zrtpDXTlm*l@s6I$_6^G*88BL^Zn<}LX={5A??xQ^GHPchWbH<6I4l<2vTAPKj&ZNv z9zInq4;6lP>97avBY) zga54GRf%8Z%c9HocS~0+I|j3}m~_8VFPdAi)s4Fm^hz7;{iQfBI$H`VWD{aH$O|ls zgsr8>^}CSFHbaHGS@h9fF`=LT{=3tGL3^!(v>nh>)v1}n-CwIO=L_XwCft+y$qS9f z7S>~)Y;11AW5?ohv2V9+d?=3lJC~auS7$ zcXE`m5j(P1)~zkfhMZ%@%evaQ$7l(xjPsLAKz~M~fh0EwH z0U`Ur9(!z;WvI(z1WDNb!FT)G1F(89bnG-Z<>JF?r2xb`WVACzlN3LZTPh^b9fy7=a6f+gM zlG?aCGCSMNnA_OLXuG=a_r>LA1sfK9M(SwUgaMhsOR(=XZ15%toYyjkZy*=-Eeth8 zYV>`DW1KmluB!kcf8SdDbw^W$^c(#6fZ}@YVN;+b>}z4v zWdq>NaXyP+sH$^bmnc)Q>q^0ux~jE%W8@ncrmPX^F(to0-dc6gLWX5B+ze_)zr>OubZ(D)W-E;|%o@(+<`03sG91F_LXBoe+ zm{$(U%8iGyK#CF5H0@>wBFpk^x|;H^%wjNoN0dDtpLVL& z*C-phqVm_5V?;H2{mh})luRrpCI{P&kfy#gHqrDt{j_?lA!xce@_8b^yPct zU#CxvItC`ix(E#ms`pBJo5e;vDT*Sii$~^v3^9Xo!mNXO6@_Pwn|QbU5-|SEb$d>v z{v?OKV23ps+<2=Hw=olsM-hhuz_HT=HHH=d^TFl+IPZsTTR~A=)cara`j-Y)Ot=klTkkjyWDJF`f#`uLP zPlWf{y-~FP%d)FC2a3j03&XVV6)z$2Y_^z*bopAZ~ zeV8adU>e?GyZA{-?%gHZQ9_=U(qW*UNFG1$ZSf(kheTBS%G`iRul)OKNqE0$E$YI6AB7l}Qq0;)f+zjDaF@2Q^ zu03t!Wv}AB*+esNAeiZ)fjDLRll{iDwZ)>}O0VNj?`o^xS{m;37|)(_OqehcHW6_# zWK42jCO77+y4RZ8vb&-0=x)cEw&N#w=umG-d{X}nMs3DFq8C*S_5@ZqTKi~w-qTvT z8CJ|E&Dx|pRVv@1n53hmy?;_(FQ^taso_;VR6Vx$%4r_^$g8g*z4+r?2AE7t(uf7s zr_(>8yof71+H!vTHK>@7FR-J_6egHng?UMH)73f30>VKEp%*?dK{R#o%ZKH4mtz^;YDlXh+VE9L9#K3ijWdp#$8H6&` z!Df-^w_iNU6_{5#{aodNzOozkEpj|+G3x@VI%(U)L~ep9J~Q4#fXxG*4PY(h8S#d$ za*vu+X6!rMUmcgNv{brqfQvFw)s& z7{t{Q-@ZORj(pxMGmbeSy`*AR;#z!YA!nSVeVgt5#mV!Bn-aCC;K}*?yTc6YpI60D z(e8_zH!@|B;nw#&TjU2TPF0`#!*v{le44F-BqkRR2@$oOT)OL(t|gny^BlQp^&atx zxIhpxST}ze^Wc@~lv*l~&b=SOt@}XT}&Iv>QOkPPtLBZO^@LHl({-^N1bL>+cHA~}@x`)?3UG2B3 zoeS?Hr4`>Jd@Ky{*CUnj=Nczn%tX3`F?#FK{~h@}s-D|8$ubzgpkot=7KK0KT6Z$P}I^wk{aOr7hv*3#*<^mXUhH$ z^4CL;;Ny z0YL=m0tTcv>C*39d!tFtckXxZx&QZ%`~BnJV?sFDv zo=@4xWjN#}mHDB4!KGy@u5RRt%)Bh4_Fz2DWYMk@%yzoo;F%9gI^XU)@2qLcZ^|#S zODn8?tZ{34j+Ll))vC+^xt*LJefiTZ>VMtYy<&G_lGbg>t1>?0NG+qo=9Ux<)(g51ytP>)wawUzmCh$ZqoON6%H~%=ofi zzFdpXC3YLuN`E|CC>Rnb;L%}yO~}ps_)z=$YT4V-E}@OR4Lx-s`?dF4CIkETTW-X7n-dW@zoq8=N=*T z^`(C67Tld@cWuaT-cQe9-O%cF+m%}#P;ZQu0yE^}P<_3X$d zp}t(Br%mC0-kq*9yO-}vGceklkmK__vU2C)T{*_Tc-C7=3Y2m@T6%0cPo_hH{)lAf zNaMxxE8=zS`SprjEG#U&mPBc@ZM-l$&~4ZBOmjJ&sHN9AEz9S>l07)SdDndV+m4?7 z8#)hqFMN%_xkV#8$B2;L`JBa~$R$gGL$J7Lt?>syzn|yMe*kWqGHyTEsY4{XxN$-e+f&EKM(&hq z82ee=KLb>ssl0ZqCt3Q4I|vgZUq_CD?qTbnDaKh1wg-D{I{6B1_XWSpG&YkX;_G=Z z7zG^Aau5X3>vV-praiieilr0K^l8V`Hg{2@f56F6H}h`_)@xFD| z65Fv%VPWBGgcs{C1~bEn?9+lpO4S4F#+clazG9^^;d#G~`cFs>$7HVYwK&wB>ZPW; z&375`LQ?zJcpsB%vPZ`;?cjT-IZpW^Wda@G=2fIDYO6r$rW~uw`Scc8T*kf719hK( zlS$ly z@phKCU^JE*@`q?i>1fShnp*b|Jehp_ig!tTh2%J{xi26~} z6u8Gdw^9{mZV`hTX_jYjze=OQKkRlQ66$HG zH3fg9^!BdnQ5{fCz*-FChC7pJj9cC(bG;GG_(ofeYjTca z)|LZqdZYSD9a)JLqf8)=FRiL@fV+d>RPR)127EFw3}yW18B^o@3|7d)Zahf2mShRJGDQ zadzd&?dOTw!4$IhlE;tMyq>0;@1v3`&4OV*7gTqq-p8@~%(0sMyPH;yjFN-b;Lr*; zftzDiH85Fe^BdVCvC>=in%vvap3Uo%`nh~+^AEO-1!Mn)wmRhBoyhF%sY||(Kf>?9 zq0po$OO&IjUqM01{Emtods);Y()_${5d?skR04`j)u+KaF|NV5M{}QpfKrctg`dg|{w_KFNJhFjIrHPMbsJ6zVNWgeB-n#MV(T%Wr5 zDYQ7xJH^#4I5WozARBB;8-y6V)P0bw7;Nvu6iugJj6M6RiBguM#Dqlbyol5DBs*JF zwQAv9qW5$pS$IvlgGg!CaY3ZeDuU^wJ$BqiQPn@Ly?>y$>pXDbVB+&gSi&o zY1(yl^1_cJ`WMc9lKkm?VS%uqNo3k^t4ccetf!iSGj|;m6f6=JjkZ2{1 z)^v4?ZxCeDCuJG8WxKF(+7)y?4QD;e8h$rR^^%FaYMYSasujzl5`R@P*bb+-(MjZH-?sE*tukdM3FA^TJ1PH!=-*eyZp}KjPSw>kUt# zpytuIu6pdXJL75cy}~7Qy&CGBte1e4sqpZJw4CQCT=|D9pl9Y@nx1_5R@WeERy&1a zFMmC2KVhpnQJbjs%WmtAS}AYUsk>}_tjsQO48{Ta$Ev!BZr8QuWTIfD={f7(Z5Qrv zjVNw<(%KpkWA&uAXKr{%QpF_i;PC9PIcG=*mS1+;m&@_v38C#T{U-d9x7TuHmwL}s zy+qzxb027NEPHEZdPHUV1J&n0>RE38#~nS#XRn65=bg-*HM5ER7TYzrc67$W^eeq4 z_7^9iu*Gv~3U@XPS)pGVbI!3WymUlv!SsW39&I>7tkA&v9w1Jovw6c#>phM=ns8bp zaqkfo$@c61(aE96Xn!xs5+uUuGSL`+l znsY7g6!{E#i(7+0Sut|Z_Y5iX(7b({%Ye5FfX6XQ?>MO<*}dE1_uW~%I(voXkz-*C zW5A=b0eRh^{t0y_8wyuA7zdSA(RrT|dSmkwfkU=?D|`3lYy}T2GR-1L^jcro!OJT{ z))pOL10UJ;_G4upQ=7mS+Ci#1Ht%=GpIg!^9Kzqqbw_SIvkxhXjz;Ut)!ynWd`tJG z^Ozd1tUe+yw{wNzALM$M0R4lJ;XJKFNgKQso-NuRG~Yw~L$~g=T2eoFY-_x0q1hAM zSg9Pe)$_K?4c<+MG_!^|*Y7zd-ka#IB~iO`j&#wj?1a61d5@3r=B;!*g>aNxTBa}l zY2CZU>nj68&c6*+7YZDe`LOa`nL!s@u|F8m4l#8Tk6q>#@|du~b&V=y5u%=(r)XI{ zGc4uxOxl|e3dO2NUt)|yRKDZdO3@od+xH(7`H=SGLEdfqId-}Dn;7pMF#-QsiLCen zP19ea$KdP5(1t=TUQ|CJEDfhYDAfEPyi85rU_*O*<-7L!m?-ZZYEW0J*EYmeQK%j3 zJQH6uJ2S3b=3VK*4)3JWk8Q$H>`n2+0vOIwa=giO;n8Vw>8&SfyhA;A?VH@KyTV)w zHiJyshc&X6f8Nj8-s{vBl@&0}`)+$it?|%;RipiBhYcYcqC14umL3cIU?JeUj(=g< zKk7!MJ+@L17H_z%9M?82_N~uKkBaWpWXJhsAN0>|`k1WCUUn&(6xTu8X^~oI=9lF? z`lzJc>uSCh8R&^pQJ0^={(cU08w&uQ~HpQb4`sbEpBrWL3p!Nh)!r?7zbMU7%mFk%%jo%x&o!tE1!@NbjOc~`y zw1*WxOf~qbmSw~Wq?8Y4jBm<)o*BE^L&Lh}Ly@HcbTS14i9~cu^1M2*^LC=Ey=b?D z_1NI0s+X-A{VBIoj7M#WZuG0d7147p*;f?+8s(mz=o=pl9pukrn&jdUd5{ zZmi?|b?NIm-6O^t#JI2(@Q~hQxk;%0zC`r2j8Q9jfs150S`p`IYUWZZ7%?!v%4&RE z@wOaULTE{SEZ<%~UQVK1ucd-Y=HoAxdqh}At*JS#^uE#c=`S+I-C-`l2f97_{q?n$u@pTWE zu2!tCRMm)_X3fUgwDx_eTL<63lGv`R1KLZEkq>SGL_e-074BX&d2S9i_h)5EO^8Wv zh`BO!*O_dCtJW?WJeAnGzrKjWZnup}=$JU8PsVzaC|AZWY{LhYUc~ysQTi9F@ZDby zX>5~O%5ZLd6t!r|o?m#UJK)x&yp6Pj3@AR}OWfJyFUY7nK3Gq!RQ@s~K$ zU5z1cgm07`zO2M>_TbRixiavO!3iJk+Yw#6k_vw)@RUD%WA*y*`CeNd>?sXTuI1D? zK(+}2Zt4bpZtqg!mTWN!ianNXR9{i?oBWoP!sG;Ym|GXld?aAJE4pbnUtP$d&t#Nc zcNMJIYPGN-BCt|c?0NaJ=Z zkQN=O$9&{#p=;V&u=&w!cR8)0^b2kbnTY<@68?zd7tr|z!`3PU*-W`MnQ-6DBQGb7 zq40%DlAB1p>nA17V2nn}W?GqGYKqoD3z(aV zNP5n3$lC&13?+GeqZGZ6b2ZC}y|NsV3jYUotzi`JgHT()sEemsLNK6}nu#!m+cZJG z?kUSzw(Nyjv{*jCCvB#5Eo2n&Wwgiv3>1&T6^YS&f#uRJGs{=X{&aOMoZy82{`yzZ zXaTg_LW+I8@aC#cU=HTQ7m_@oc@}l%1#WmRw2SLlowO%NsNn<<4{ ziZttlmUs|6>@`{~P%AJ9@D?83D5w zvX)#&GmboY0#|&5O%G|B2749ZvOj=%^QPXV^h7u1pXNJ<>yCG>3G3^&I2F1eb$Fh9 z-h-|0C8si)rzYt6hKyBiqY{@XfkR?1L82}qG|CeevDSUAOj+aE8nNt?3>k@V!-PPS zxwsdH(flDlf@Z-4y%yK)V|~S>H8Xs5nDCht2qucC{;vp}QE0dgwlOAqcc=v}T8{6- zNQi}Pha~ChTA22<58-|7jYZPCgwcG1910U&vq=O2+X#grV+d8pr1!~(xoYNX0k8c; z`;@P;h*!{rFyRn97m86K`R(!K^&_iqQ649T^X19iXxR=NWBvCB&ZQ$Zk*PZucBq@iJU>K|mtlF{2$SH=TeM|TMwyO* z#Y9ICES||Cf4$xAw%HMa z07Z1XE$!fZV$R!0x?I}Z39n{y2jQHEUGbPt0PP};LJo$^-tU7Ggr95Ig715Cj0f(j zB*7tTuefx8H?2NbBw*g$-akwF>yFmqz1=*FfK#UKbeHkSC#po`s5RXqY;(Ote+AKs zRs1bmQP%og-ey^u&)I#&|2$-fJrOE#^5JEy3Cz7=}BiaJiC!&rdk>EJ`=NMn<9=lko}r$(Ic- zL+xECCRpF;+pvoO4N|DN-gGXxEzLiu)wc09wu@$>f6oXu==u08PDa3L)^Up8kiQwl zR(n61LiwRe%&qJO&(P6nJfdE>lNb_uIzG7=2W@L4u zfs}3grIzB*P;5GW{<5c_*@lwQXq`P4L|zJHOdq%#;lF)|Jku@ILLb-D3kzln^GLyHgFyiySmPliP39J5$k>1X zxP&**;uImAcqd^Y3Y(Wk_JLSqJVlj=uOt{IC3yUmXOxD)J3JT$e=GYtt0kDx46mH+%nuM6FEl;q^TL zjKzRzizp8QRMF9g=3v6mSD2vD#~9O{D13b%Ynage7ARl~rUs}&6x@eHKL}~$26q&J z08#@rUXKs~oOI?E$&h<%lNEl^)deeyNJN5rOy5BiKsM*;bkES{t!4uDb_{g}8xxWl#BG zK6WIOMB!%ABvTm>X9kpKNKh$dFmj@LvwyqiN#}z`CoochX^Rk%wT$(1Q+{TB9lX6? z>Yit5tN?P~wv`n?=-?r<`hh{ZBV?D*#nD37;;R0_m&fpFr7Lvp0R-O>@8&CBlZzIf9L@-k8+mcBVJ z8Cgf9Nh2bX5V#MuVu_>xW3jNw^?QX=J8WMhO46q^%cj_5g}=Fgwad(pj8~h`=__!I zW*cZqzNMVS61RXkV+Z-R-th07Y1b($5-6SuPu~GxABHjL*O))?U$<~E!P>ni0{s>> zjITHm0qFx$N7dX5f%@vyK1#t5j$+{7MKhIIzmTD`_fEdLZRfM55Hdx@iX(*&)4&_b z3`xJ!m8KdeK2X+cB6``39HMO?!7cN8Ug*sQlz%7L>jO-Ufiv+e5%asi zjC43)bEiymcI@zNi_ts1JwtWwvh9-92s16{0$7EvpUNdy-ZU?as~kqbrKe5WL_ zSX>=_NzB@Ai~L53+K;L4M&P#WrNM?Y$m-9%Q`|5$!U!2G(>tQ;hj2b-l|bWN#=zoI zLmomlS$T>jg&U8Z<&RF*SLJF#j5cXlgx%|b=7VHK@8vvp&pbwT|GER_adc z-a%p$nIJF1ANl0hfnl6txU&siiJ2Rx*rn)>&1yBfJFBn+7G)}(w!IuCa0wztXfMlx{Ov>xq4?TS zFfS^0C{OxRb;KyO>i=!)3s^PUmTuhZu~egf44P)ctsB*_SwEB_pg#~@W~4-(Fi-6k zH$FdC>!;o%QQ0oG{O(}&dB2!7Q!k}NKob_+U7sBaCjfDtlW%@$L2)K`apv6pG%~=O zT{v$4pP59dmtg_-W`lhk0k$uv%nC|JThSC}lLklO56(_l)$vF794LX@{)X2IR$}Y? z;8C7oBq~17xH8AFVG*Q_3O~RHtTTb`j0!o)kh>e%6cpoVi3IYR%z$bSf;-E1d{NjMBD=qC<_bFhD&9iGN(`L?jqbrSf zm^tF|_J^Ygx_+W>kvT`cmsg$ZP{ScQRFP*ouy!IQa$f)3_A-72NmGs9)P;8krOeZc z&$Tyk8~erNe@{&2x)l9J6UFjhvx0+jXLQ~S)eW!?XKxq@U+<*a`E<+WihC;_n+=3c zjd(lw?27G!XYRJ}HK#{FukEu#&g5~UtA|kEhc%?yVGP8AeXLacE!ay*uN-|OS`wj_Qs>GaC-WFH@lvHxh$Ntzqv1nASex6hgf-b~x#8hms&IGX z!Hxrk?PG!RWVV5gZmYBTi5Z5&nZkLcqL$pC zxS(a!ggFs20U~GwrT2YuII^p?2NoJ{1y6|n?a*^p7a z=E(?*jBK!It?kjky`BXrnqG1{{ zM@1A-ML(W+EqvnBOBzv_P+{bIua+)KwTyoOFLNC?yNrW;A4*J?_`S5>oH>4;1fGt7 zAtO(4VG%iCk)3G^oxU+lyzWO<`Blg^0MqtJetX23d}DgKRnQq@Px=hzLx!2yP5$9; zGZ}aI*KyO|%am;a#Xh`C38U=591?)}vlgc2F)WXwr)XrbrJ`w2KM=(l`X zoej?Bzy;#u57lRTDgolP;J#+MA7_ku;JrwL^Hc8Hmp2t_vo2Hs57BH0|BfCUM@&)e z9)|;s$@nxzbpa~MxH96}ymH(QtD<&WghP?Jr)c}!KUI)(q1aQb?y4x4GQ-*X8^n7A z^T=R^dG9Gh#xvo~3b(_zr$>g2YCNkAS&E5WrUm!6wP2#-KC%emc3;ns$z!>4;)?qi zlGAG&<-ml|5^!!ewo5kse0rimq^ol{&*}1qHO6o-d8-SZTMf;uGjfs!3&T=Xa6Th| z>(3>#>scCd1;d7M>OLlr1$WzbG^afBWG?w!U-aKQUu~$j8OV`Tzg5{oR(xhi6-=Ei zaGl(e+q>3PtM&bJ1U$Is*+YmPtTm*meOYaP&~6Fd;LqP+2`}R?Otfin<&S=IA!0@O zdU^ltQt%AdrJrt!)v5?Kk80-NisgI+;M{Fv$lO`;ZPu$v(quAa?6eG-6s1O{ezv8u zkS8lqr9kdaDd5PrIdq}_@HPdQoX_9i;0DZ+gMe;tU^*U@MryPG+kH1RQgQpxXPUYq zY*M)V6bGX@iB$tK7kYKs_k1PaI(L1j0S_S6n}3Nw|J(Ct?e6}kh(-5Cx!^-|1{BlC z02-?FA>C;r0h=fkeq^EX1>zA3+23kk=5Sl7H$)DYAyJLGf<_;jmZ+#H2)+37t2icX z(OFKDZG5B%oD2amjE@P`lNE*!avbK!*I`r{K)#)VQADTegivn}5Aj<}AVL3chy_W0 zipWF_e$3Cvxh(`{NGoVIOn$*(Lb*fGx{%6K?T4>G2=e4$l2@jp_+*BAO7kQXnC&TK zD7>^9r81Dl_#pGRh1AyH26ad%tWXTQ_U5Fmt1p8mq74>C2-)g39@PbA-vX(c9Jj@j z9VzHc6~kctK=%;vnfs_$Lq+{LSYN%_!a>}AdcgC=CYHoHFhSD^P>WpeS> zMC;O=tCNtvGMX+GrnF39FYApOc{@FJxUYGT5P5Ef%pDr!NW+stK}P)xV8Nj-!bB{V zte)V7 z#^$>_!`K~TC1|*(DT-$WPsyHrT&O%0Uh@#9z9jDQTyAd~@#S-Q8e>OehPP=U^FIVd}#P46-fAOctgs!G7mxkKKC?OVxA#0G7akkxmzHG%YUcGZ$fIJn>`Sv;f3J}!+q*}xJEAI; zhQ`QpUZb8`ba?3aG1vN$zn!k(WAeVDQIBdvBI9!TY@N0q)_-!p#0*DNJ};#{cr@p- zZXeYX9HT&9=rG00?u%`*r+977YxKEG^za1g=?t}Y;(}%^D3e~&zKYj3jJ9=i%^`hy9#zd z2zE~}ivAU|qg`KyZk#MC3>$_i{3gJUMdkc)gdYtWe`WW2DW({-!rcV@3c?F%Wat0| zIB#m)Qzy)@f#E6M`k2jUKkJJ(FJ^txzkLRmj#z-rD@UekK7c2R=0O*qKqwknb!-6Q z(t(xNLO!TwclKir4mlo{FiC zBj3)*5y+o?nXP2_5Qacf7@-rwtRnDnjT{ROqwC*nigLDuQq=)u+EjgqAnHn@(Y~2% z-rneeu9KUH!UP07KD~^?5j%r*PqFi!~F&!UF z&%<<@6vDP_>$fK!>3nZEHG&4|q{tt-5gYD9-B4!Qe8q!V>Ch85o@v<}%s_{&r9DwE z-I1J)RYo+(tFDZUnQ1U5nMQ`i6L<8Vme&55zY=ax;n{)SqDcD;|@10=~y!^X4THbSqP?smyJGdt-Gi zj%r1}mhT6r&c%k8AG5^Y;h%Y|--!9f1RmwY$%{Nihd#gc@}}>H^OrM}?53p8Vq03y z5s0ZitViMYB@s0Fn>;B+M(mk`?`scE-3Uld0{2d3!z^_{PI5X<0CUO3r5d=DN_1LEhuexYnvb!-y%LBx3OJ=J3Nf_;g|jf|aW zUbLBX!{AmFz-&B!xl2X3OTVKn?wzX3JYwB`{*8kEz#y-E`};rYXMX$YZ>3T|jz%cF zLzBBZL5b^w!f_)t_A5rnG@=r1i1;!rbqP9<`_rBy0SP_&`f@OJw*59vp6txn7(6wC zOgG7KA{5r4L4+Ff&t*=+rTN5Es+khTMn?|8K&f46$oN{YbL7$Xu}XbM%L-{|KuRZ? zLT_s(K!4Zi9>>P%WxJ>N?HdP}w;lRT4d_^mX+Qe_B6}@YGn2@l{owdxjt2{7WWwLT;9=AI~J(IfY2$^W(E=OHWkGR6Ay*}XFsal$LG|E zM}$UlR1qw(@`Md@Zzo_%OAz!%D;;p(S^(z1x$u<428a2)1U4`Nc22TXtggSB!U%|P z`4sv_keyhS*cw8?pw@20@q3C%Q6lm$Oy4h>@#;>OC+k`AKF^&RN2IOxtu+Xt%pNsm z5jbX-gF~Edo*g!o@l|@V6y`QKfyBq`Kf)L1|22H!bNMNi1?cLhw>VE@+s8Z;Mv#}t z0?n}yM`Uihkc?{M0x~c>nrAKn%_-$3RV$R=jYwPwcU47)gNC^qIHBcQf_xTzq^Q{i z;YI)}^L1C=LgM(1-%`E&;xvYg8gW(rMXJv1Es751gRWs5gEQ&4@0@vzfc1a-Y5U3h zz1N&T!-@t9a@JFw11&N8-ZQG}eI`$Ds{Cozc`!!h3i<($#)u&hrb&! zHy)OY?ydb>s2?aYHPB~er7U)Xp&fpE5jw!P#<87336J}IDntDKA!iiQZwS&S;65FE zpV4*~Fbn?N_xXZ*s7Q|*c1O2a0PH({;!Icym*R!e7k7$8<$OZ+RPoRCh^M^rpMAXE z6Ev_hp+r?Hm>FC^7;8aqTY+{ox5qYyOb07jCytHJ7GuRq6cR=F7WeJ?TfI_AkjWgH zK%^D&xv#hs=AGOc9#Mq8%XKR61P;t*I9F~KJ6v2e2N{JzY3mtZJ77d(&$2BEFJN$b$7lY9I5vm8qk5w=5t zCO@eeB&(@Nw>FJ)WPM8MuJYgnF-S!LpN3bHY4Q~19~f^tz7Y%H`s-u3s~M>n*ac#jleG`^p{T0D)>H#&!nd7!*H8t5*XyMOcEJy$|D zivdhoOB*VejL>tnqCB$r~ zmA8z=Ku)cYRF9|Ld;90Gp_y#s{py!E$1F+O67jy5=Q58;DhUHN(KP~&uZvW0UIMR94|9H*24L-iO-2gSBcK}d! z=GFfTpW)!iHFK7Vp*^TbWfUebngW(mB!@RbXqgWi2Ucmkn?ob$(W)aN4exTtL>nmN zQ9{lMrY{w~l_v76q9>pYL|*)8%6A8bDNf_)5he^>SNdR)5DYw)M63ufLjv-6uma#+ zd>Qi3tyC#j)DqRp_x9|`_HO}UqXAd0o^-&^&C4CD#x6C*@(3^cv#;6sha(}_&{vy$ z>HVRO&xv=8qym(!1}s{RH4qDBY!F&<;v*9K2ic|miJxbLH1G*Gz=G0uQ15FFQfIx= z#)tV1i~wf$t$9b52ahjpb(*~`kj!_%@Aq#Tmf*cV@du%)j~-HDQ7EG2-r9a}^12DeC^1`C zmQ4FqwTP2BFB`>3xineM*sb_)fdMotpPx*holDORJ@*YN%8t*^+SAu6y>Wwm&92@b zoCW2+F)cye58wl=T9~?i#`jeDZ<+aDp@aXFS;xA!|25pe@$`Yt>HEWb zf7;+6N9Lt<7hEq+8Qc``+u}=lyLm*cW##4ft&siTyyf?QoYl6Lt=qiTpL4tqhdN8+ElA!B5Fn) zX=QV`0AHSbXsiMlIQcNR@u#}u`fh#pZ+|c2y{3YN2L`BniSXz2ulX#s3A@DgQUR`Ya+8m^eayjX%s>6_y+GJSQshkM z$FIQUc_?X*)PA;E{7mOk&|2LH*?148n`WX{jzJyK?upCO4G1q2frb~oUyqpc4gBw8 z^wPzULLCDQ;NYP{KhNEv5q~+>@7ap)Vw*(<`Xvdb#dRpX-4uL9cVA)Sc?9a%Ca3Yy zWR$nZ2>U;I_}v33^N%%1@i^cMuH7(kD|?{%{Yt78&JrK73c+q6IEcrEkJm`{R7c7^ zZ?I!doTFbG5YSM4z*+8&pgUR@{0iYzKn+h2$DtS;{S34RmQlW-c_}>PrtPg=;h?r= z#u?^4dhtS%Y$CoQZ>~oO+Jxb!z+awKkH}l-5&^8!PvQ{CEJzNwl@TN}l(I^e^KW zBpBkN!mk>672}52iJxvy_S0gbD3=UNgR4)bGHFHIZm0#{yP111=emm;8zYEhXG zrubkGT^QL=R4HRct*We7Vcq|c7x9pB>)}_v%cK13*N2_-6Sb@iD&C-#lmVk#Jv7B!eaflY5m_I zvU4i2W(YK1>=EI`FV6MyUHMYQi>u%U%zhhDQooiyO=Ab;t&%Nq*0=Ap=(2c(x(M?9 zyJ#y%Ejt5ege)SE4iyy@*`xr=H!G`sa&%|Ic?}H>ix`y%)l3X{J=R^9X^n zxruT^DoG<0i_wpkybqwLwkGxGr!DV;cDM~a%iS&CcWY>#T9hU`Aq=6ocWy|UEqlvRcJ3bRtgZ*1P;PdvXirZ$l?+h_yjH37 zw^y7B?fAZn3!mUPx^?&l7?;oMkS%(G%$AL8!AH;@4V^ml4c$F>B(gv#3k(V}@XZE# z_B__){Uh~fCmU4rZuN&E*)6!^?VUv|Tr>X(GV5OW^xFkFHZmx^n<2*pDSScf&9J*dt>y2=B_+g0X?3jSOfmHKP7=(^d~X5ISvguI_-aYiy1eI2-xuHJFKb6 z1=vkb+@J^LNgbLg?(F=kACjY}|LY+={+0FuHo;mP7mH~?X{63`QEDIwpKC)$^P2n` z<(LslRb>9q`#gA#4%nq=FTPK)Z7WAptsbLNT!|x$-F-N;ijDDQH^sO`*H;a#4-@oC zMsiLYs2gvU@%yFO^$-qufEX)9un^bNJFDcW840-aOwf-Sy-n|w{Odsj_n@A+7N;Onvk|j54I5ir^un9y-F&v}%xI6uELJUR)>xgw`VKR@Hy zkawpnCuvH%1uR9MhCjp(hvbh#Wn+HKb;xJO@T`-f%B&83fXh8ej^qHk&M_&W5Wz3T(Io$votKPqtSy#k5XYkQU>@&?Tsi%XQy8Bcc02al{_*LK%7K_pN3Q5s3-4s4xZl%0zNd!I zT=nO8!4B`XeCL_(j1{cU*HEgsZa#_oLS>5}R`m^+Kf6EI*U7QE@+%;Y`n$(GTtH{r zf_{r;Z&t9wv(O($h72_WQH&c~-6X-X z>U3x)GZ(+u`dbBB+6UKM|eG<@3|8gx}LKMT_3*VSZ%Kq z%XiXg^iw~MJxoQrp-2tLuQX!o+4=F&A#0qC!M)T^Pe2Fp!5|xB`6HL**z(@Q6H*%> zh^-qv^$f(YyKB@}tIZ@S)cZ%f-MF55-98!f1tjA0f26dP#ne9RpzI;wD2|F-{-di> z-y8>L{(ZF0^Roasin_egnpdRn8rbdVf@xi=#~exUw=d!lN$|$Dx0R^rxl@9{`BmY* zn009TGKMqrP_)5R(~ze=;mJN5tJ25Y(nHXbI~nsW%~aywE})loKJ@rP#$2_VqrY~P zWDg}hOy{sYcSG+IYMAW=2quG7Scj(AHN-w4BA$u?mZ+zZX~K|8=nh=^{a|V2sxsf} zWf`*q8oyU~+tS~3^zf^5ai2=9(yBHqcUjLb-+tjA?NILmvTi)+MM_Nihr{n zPef?xO+NlsbDG{vW&U-!HO}dX`?U$C%Hle4205yEfPMOs(O~}vl{L%f$ubK?XS*** zPL9W0Aa&K+KsdDE0KNX)epbEu;iCMSmC^J!bJYX2|IBk_(*9?~?Y~_O|95|Zj{#B* z#$!3TG-xCYl*Fms4F!=U*?$(gbv0i0MM1tB!(sDNfXG z^y9M8G|`I?ooI3zUmFe0uu08}b02{fbR%+Q60dfRYCkGHD$tVKHd@D1V zy#CKgEt2J;20w{29ysXNa*3ENLcn$-XRs{G@v8JOEpgHX@`9Wiqy1ox&{@j2dqHcE zBmKB-8nf4prOMAN9x~8b)`v#D<^0XVUY59~9%MAH7sO0YY(7PlTQNxYYEXU^=q zb7q`HEbIEj%*c>fj$g+bKd`*9z|VJ$*y^1Fa~E$6$hG|rF$9Y8m$m^-w`nN~R;-)^ zKraW#M&nd=PKiD8>Vi!Q%9dUD_7U2lM9#HAj7c<$ud}v&za}&EZ)x6|?RA38J$69Y zMMXCA62*2*DptzK_2Lgi(Y6Vy$FDG#TLLgU#@0UP#8#5Tk#Ti5vZhSv3zwn;C3hub z8(wt`V%zsgmQ{8YoXFdbX1cPsBp~Z8iB`6*MO*V`yy!?@i*iE`9&Zdb)4JQEV-9w) z-&2id(c?8QURz$Zw~UmlS*q{9(__dlr(1VjY)mdP&4WTX&~ar1KQ|n3rn^F&uQf^! z?vE#XkA5A1pgs$5_+n%L?w4kBmZs!8O$<7DQU`{3NH%BhPn##Xacsdx*-r!uw4*TV z21;L&H_l+R&q3H!3YG0SYkSl2fIcelZRV4;GS`I{5$cJ!%wk|u=;LEIoo+8D*h<*6 zXcZ-%j9oU}avv(Sa*V zd-dLKnn%l6=HmWHB6u7_46=qpO9nLT8qZ#!;-X>8dy%BnVS9KI+iK^u(hsy%8hU7c z`FOqb_{ym3{g5{@5k{(O{n}?UUKV^nIU04jD`J191AANJqkQfCH^WOUZ>sO^KJk_b zX~;~OJ3|cJcpE$DODs<5^&G1Pj!`^haQ9_O&(N;$RbjIk0l%~&1ryhKan@RMES|5S zp+PH3t5~!awVhd6n58dk3l`4*tfF6XbG2O2L&iec%<%9zypm#m1rMa27d#jwF;wUV z&4hhd&=xVdis5sd%r(|1cUd7imzm#gmOQC2S}Z-LEbf5s&p%=+QMrco&cf5rd8sGT zCh!?uUjBEaEzxVSnLeU0bLk?VUxG;+iYe{n=-GSg%}U^gkC*nuU?Jq%Lb;}V zZ*d}WVmkAp9uPQll_t(;ZQzD{WfbR@@th@_v1HI(39Wp1BIQgMZ{8iDm=Z`-o}ccR z{?NO%?R?dBJvWd+v+$gHFfDhU?=aVMgZGbghg#~y_=q)lXQ2*{VcxkO-0$Zl^*6`m z>M#$aVoggcc)|Pb&?s!{H@{rTK%b|m0q}q)$Pz++>FCWp!iJHsl%|^e%{**&1vgF_ zQyzP=A-DPCvs1%k?}@ac>7;l2FVJ+$)h$#}4BLMqFWCgm5pcbEfJTK6oY{qPC0acZ zVgwtX!;+5`vD*2Y%A&N?+M1e+g5`!+)mMCD7f`CvpG$i?S-=;5#MVXC}H?<~|VwjBgmOuhMg@3iEo+#*#^8O*96A!9t4Nxwoo5A8(S_k64=M zm`0HD)1OGb0{*%5Rf;9~c7VT|0)dU{RTcneO?z@vWoIcp*I`4|LvsQ4he(Xt(ZN`FLO>@) znDpf3SaX`Y9dM|=$9GjvG*cluJya6c#K7UK$GwWOz7)1<8~-zzjYE$7rUb@$4X$Rd zyw%!HF??8Cwg>pZMcK&xjsX!JPtLpGpi?PWyOXg7l8Rdi^@ml~M*IoI9^1?0!Ow~W z_TA$753;ALzqX~I{EyR97$;j$;VB#!@#;%8^9`UzoJ{vWpIFaIjyp}F`-_C{!r@ud zFr3i+`BvKv9!CX(h*JfXERfsz*LXVNDsdJz zqssMa>q7zOC#apgkr2eS@9aTV2`UB>>S$`qk4+h&?zI^0RG-vwbWgJYzd&OceKpIS zJ3Cw@LLUHLi?FO?c(_3`XsUJaF>*-I_tI}*~Mdf)7t%T$KcR?lmg;b^q)j+I2 znEpPA+%NJ8GTD)N-D&me)hf}5lfE`7hI!uVsdlzhZeMwD3OGvl^V%^%zX?bu4n|}T z;JnMly=rJVegy|!?L*6H0m%vGWrAhCh0Ea<*xONXc0*6JzRFXp>N>QHTtNlTfT*MR z;S{ESON%L`R_Zx9>TgwSi*5#m?{?$JM8@(o%tiz;8l=3v?Wp)o?a^{quN(kzWhsa> z=PSo?hz8=h64p#z0Ts#`fbk78!&}ktdXWoYD;piFI$R|Wke3D0`lF6#g8!4WvttTF zxZITqZ0|x3?HJs0OdG->d|$0_L7a$y)5BnJ`XM|OY-LH}dDtYUqZ$ovkiEsGcXPKB zQpC`b7>x6NQ4UUatEE4dARf!hZXVRbk2~C!%>%|~%W+GWf7wPc_;3$>sjRw8x8e&w z5}hilYM(MS7L`8*jiW9DTt{0Co+z#;QLW07qBY{zKws=)&|)y zc&Uef(lzuYw~!*I`9oMSo0SL%O041VpeP#(U3?X~fjg%w-rKy|Zy8iCQI*v= z4J%LIlrIUEyK@#G#v`q#R=PZl<&zi!UYxiYh&TELauNG+jte3Sy)USTi$e*U-vGQ7 zpqoj`KQ?PF*CIk_xvi3qMl{HB=NuzgC*fC>n}NU@5o^QoOK| zW8rdl#gQ)+aWiDns6fHP_A$C?6n1kb*6yrZHKBC*#W|R@6jf1fg{Itr1gmPzc3OHp zhrb~ki*CxVxy5F`1?wk)>opd1J-)XaXmZlj6sAOJc!GTXp4A}gG8k#ju1pl>z?GEK z9bCu)PNR|&tonEcc260U^Bdo{-t!TiyKWM5xv0`>J})EG7n_^S%iCM^-eDD*C(vSp zY=kO97h+1wJeb50B&Y|&*Ob0)3U#2IKYssfEVx^Ww|-#|fe%PFG9+b%ldNrYK!8I? zcPU9tn}pCuF+s3(Usi=t2Yh$%*o!vYv7w#@+ay26qBLv(bkMnihQ(^_Acya{!}>W- z7E*_ZG!GP_=Pcg1+z~g#Rf4`6uQKaKjUPpNvk7uE&Fp%>{?|aGRkfeMp}FbiG$=TAB0a+Ewi+*Uk9!5#y*{8gTJ z0(#~}@UC{zVs>d1CP6sy1e961L$uIRRg5d*4E3pux*p0x6J>Zv#j@g7&Q)T7$xJI- zSH_M1U_GuMXFZAer~fJAamMOCu<`fsp;@V4G79;)v(Oc-Mqt87quA|4M5qK!)0mY!dBH z?!r>d=L-!RVK!Be+FwKNlZ95Pc?py2qBl}mRtF0`*HC{)aa1iaK^+zqajQv^PdM~3 zsOVy`JnX90vhMgBc4ph*2oM%)Oe)F57tu!xqGf_+iYi_~WF%3JW=^;$JE$)9ea#DQ ztx<4A&a)fwPZA7II*qbn1jbIiO&EJD$F^0A8JWp?`)AAP>oaIj8#6-IU0qoR1CMJ+ z1cJU3Uc?n{J_=Ft*R2xBA@23`?GZa^=VskX{wlBGnflvweTsLWK35J`2(7=YFJ`{FjNJ|EVTF z16;(b7X^-Oso>=Er?H+-?M+kovpq5|i$?MXzLHJKi9dd)I>b-1i+PHY^O5RPs#CCk ze=S-?TkEBV?B%+M#eY`Hw-ldRRQybICjdyDg{KP8O-C504elkQMYH~Lh;I%*dx3y6 zStV1_xB|)V+Bu1z<7c&Aen(k7<0lt7VCQ}WXu!{}suGIuro#5eQz_&%9Dtxsp2y+W z9d+D+pE^)HW=tpr$MOw&)iz?W{~xnj+C&@keFrajMIKIJoP1@>dS_<){PO{H-IC1J z)BaXU0RdBCo29-<`v{8XM_4;miBWJ0bRjAgitpl8kKtx$^1N#Dx}B$n)bcB9oWnlfV?p@kR~*UI#jgKk+L1kmbEBaC?_MDWE~Z$EbmM>S%#v< z5mCpMvW#VLaE|YO&WTyxd9U}K@A_Oxi)HKPh8SNOK5!Y|0DBu!uPbegI(Xo0lI!WT>XhijX~` zK~%!bNd^eAk_pybhxp$oc!-e#nYlkU(`HFs)@n6s=4@U4SNW9W_bVh$L{j?k3(h=g zw4@*YADM`g4T_v{*jO`IhD2FfhigVi*M&D$EymN{zVAaiiy3gHdj8R##-|IX$aLyW z=Ki)9L7kcdF%%sLEWnB%{)ON5(oZ2(A5)QPT%}06?zb%@V`6H5Tq{ZJ60#9 z03It{_&+k8p1)m1EYwmA=m^N1+nH!}=s?QGlR0z#VL$b=-xINhkJ)Si_#J~U;ThB> zKR!!i)43!Qu|`ywmDS8u-iP-*zSc!xlQ(2^oS@GHa-U7+bPx}HF76=Gr)NX!U*6%W zUa)x9o0*yUzJh)uH~Y1j9iL#BTkzI1-I|psHaNA{b%o6Rb^t*#({@;K;cIOwGwp6= zl=O;mX!UGTT^NG|;R%!JE0fM;ek9YmYUCfqA13B)nncMvyem+z?`iFW8!iUOp-lb~ zQ&UVtSrzb|>NDCmlz0?O8jKm7oX-U3Q{f-&3W!=w)0}4;`Fctk&tH;0H8q|kKEvQ? zF54;l6$bJXJPOj%(n_YxSOPI|!adOoOQ>`J?k8o(n9A@~3Ifx)LB0it6nysnE?_6c zy^zG~(r8V0n^7~3v?R_8NRY~bA<{qH4dnxU>CKTqWKB(G-~lF=1Aq%9`muoP^vZDa6Z1gT$I8{udiV z?q&}r)SH`w3wSLUMKMZh9=Um#KAimSuaZ5SiWn zp8D&1HnoZz^%T@(R{t<<$_`68JuOw+ZQHiB8eqlOI`uTJtUjQvWpd&DH)7PCo+3y* zBv#Us{nDGfV9CEDZ8o$4!-*DuXY;s=4zjva39S0_+nqQ+BjtwZ4Vn9+VOGDhQTNaK zZp;rrI4J?PtZY2?T(mDLg^oDld z{zq=8w`&HYDuxf19{$R#+A1pfF_M4JI^x0u=x@sKPoDAK_jeNBd_(3zOTjGx<>Zq+lS&Gc8+U z{{pTJz!^%*-1;f>2Y;0I^4$BfF&nh^SS>O{ZTa$`q!~fx^+k|ok6bF;pgf*WhknI> z;Pqa)Cnf=sm3$AWZQ|K&ZQ1$nuu*b2)RQD8DtPS?QBhHcRKTw6DFMX8YArjvvhLXA z?*ZqYWkrp7VizUV6hUxF4vpSOlFsSvD`)U%MDNuWX^$EI>%ARjfD2oE=e=i!7*pK= zpXQN|ig{XCfP%~y`18-omQkF^vBvs$BN7@^D1i0J6AuNBuUJwrESLcTwP)9pWg9nb zaw4&s)Q`!O0jeze0|fCXi^4w}&2k?4U8)36QUjB&jM`YFoc*pf;E0f1LJwMWCO(H! zdv6HKP#|+XnnLOfA1$$;;f@jRIY%E^5~EKaxgd2;{|EvYsaq>!$Ou_!&f`AnJyEmH zGXP)?wZudI2pm~1Ro_J+(?<$6^_`c(bNo=6hb7tr6zLYA4AC5-Z!9k0 z>$la#hNY{viZlj`OLQ3Y&Eh!ng_2q@5c%-C)Qci5_#JTfW3_=I8*1(XX0vYIg>pEv ztd)Yps3qa8VgK|C4E4`qSA^5I8wl}X+#lL)yF>DGm1greqODnB%GT^`=cA6@mc~U! zD~gP~iX0je9t_*dkFuI$l<1p#F44MCfT#T0Oh@3xfbVxcV+ha_&my2N`eu~X`6WB6 zdp-l^oz1ngi_0r4qKlAR$q%Eczx}SYiLaqA6F9hP?a#8UYFd(=a|-}il;E_38PKG) zZ2)(J+EL-gc&MvYUc-gspAZ~w9UrAON+YH7t#QVK>7Rkmi|8mEOeK6tMrbPiq|Q$< zh zsk2AEM2Tzb0vcT{+qfMuE)*6-Fm5x%PeOq1UMUCotvo(7E^Zn|=ed23yCk7_{F-ET z)CE2EUZ~uw(VQL8uvthXdZ7Zd9&XTyh`Uso5)V?@!1Dty$x>fK%5+I{HzjsTn^W{t z@oN;3{{Huew*aLb+=Bqt3x?z>8kB;cWJ7$h7|oTuEoa0dwS^_N>_?(DID~9Cf!Ny%@wB{7S*5rid8HzLM1!oG%aTF3?J1BJ|u4gFl^8NSkN{{=2HdKkD|_kRo|V&}Xt zZ9V<|*geP&M4L?yMKN|~>3s03%c%vaiwvx6575`2sQnfTGK$rbyEyK(hR1{gmE(*m zYO2*h`=tUOJ+E8faF{nniuFq_F5OdR-Vh#S+Avjfkoer+Av=i$AKqpOu>GN>NO|wa zfyZUICw{IYZna+)o2fL!g1?*AF0xW=!Yc(2g5^e8iL%mHu-+=o5lfci!GXj+O!8^d z7)=dQymSMbP|7r2-#LJhiVlA`LbF;?9@-^I#z}$ghE2likN`S94?SPYmg4+p5yC1> z>vV^FgB$3#b8{HeLUWbOJG~%RQGsOrmd_woGU?lzAi& z#z3GIQ8*4}o5RWlm=@Vse}52Lvjo#!iGaj1pjmSBrpvZt3T(zBCou`7)-M9aN*dKP zdgt319kh;aZ7IJJd#Qd^6_pj_d!V0_-8eXE&VY6tcDH64m|HW3tasW;F1EvF2jB*Eeece7Z&FAYo$GkV(>1?qYKwH`mF>9i1Bu^0&nwg(CJR12 zVZr)6neSnn#%E5Luu`bicH3KSJJI&#TntgS^3v|Ma0`9;b87B*KZO%ys2dE~G-n+6 zg++ij?6NBcH0FCXcE{<^5T2L<0#0C{10WJF4JPgWaOlTS5v2MQnnoLk1TZ7>vCe(Q z;Y3cSMoOi_I=`)p@aeyECH>-*XQK<)Ri;=O>@-2L?iVJZ{sq;MWXh^%9p9g_;fk~V z)v(TAtL)IIZWSq-Fs*JmSedM)u+E0!S8?H3d0`Ry+D`D_#MZm-9JTurRue92CmqgS z=xXSaOV_*h0h^KJBt{?Jjf!pwO$=F_fX3Q`{kKG=$zhiz^YXtO6L6Mv7q2(o*bsg) zK>FxugE6arx53ts{hpn$-;cAx(#ry@x6c&jh3!F0DPxh6?Ni@U1IPK-p7p~Ti-8h< z>evu2i0J_mXnSSx%!_l_jGIp4rg2e|6XJ|(-3wBQ5^*fFZ8WH0_ zEu_v=D_p90WgSN8G)4pt3cN9N3u><4Nf`?9OHk>j{uM^*t|+F;QNN3l)%-i}hGD}> z79-syzcf15Np{KViCvO6WV4)hiPFR_+5EP6HzG|bpA-AqQ`Tly5&Jb348}B%ItU3a z#e?+Qi&XV&IaT8WS=8^+J`ck=c#)5>7o8f^#G5fp*@j?nmmlu8M!6p~_4DOby>wR1 zh2@7X%*0Srem4$ErM;3ehBF&C*WPWraNwmYW3F+>pS)!&ncTkLnH<~_vkC8#gfE6% zD!&YVO&5N#6q8o-kD$ofOAP*jaiW8?8X#7d(sXbQCXy>KuUub&j@u=z#fyKUa|!LT zk3yni4;{x^L8AhDX-1*~)D2zKAns2-zl-y<);Tmx?T#@9$5@wK{a#Ec#F7q#F5veH zIHo99^eNkLlgfW+Y-O++C-|C?D}i(ClE&5uZy3rR=jlkq5#9*kZjbN1PTBp@4rNobiOCC$f&6Ut|04SFy$Py^@3I#lQRz3 zE?!_JF8%fJHdW|6JKIe4B8(CG;*j36|N?r@} zn6-bMEc-3^lvz*Ctc{YRwpW*mQa(NkMNdLBThlSIg-xt%Jp6+!Ws$!Q<`Ei9QkKLj zL2_yqZ&-JZ6_v_2ra7x4a9^6oaOxh71PR8+;>YEuezYir^(=-_z&C6wR(=_NWMjAf zRRx;{QP;DWD#iF^TfKWSS;kj~?HAHJ{57K%GTpz$hOE@8)VeK*VPxbgjk^23n^om5 z$;W;MNn$49eZ(ojWR)UjSKXVz3!(tH4BqhktZbT;$1vmGmA*hWE#h^BpP)1CP7{)0 zk1HcY(Dza#lo7HiOQ&OA6m1Au!iOUWkL|3x(VXfi+OO~ykJDS!sKe;q+7$Ph2XEyS zeL=T-a6_>Jd|5)l%Bw9w{bt?zZQ=8}u>)ldzdo|jP5)|3gj0dOAVXDS(1&4SIf6N? zcrynv=@F&28VgG;s#}R8$7MDFz^(2;O{q)mM}zoPUVZkZISSGC#bP7_m2m#MQ%65q zwBwX3nDA}j;oVm-zv5E>Cl~8^hsVhnPW$plzd*&&mBsD0^o}0G)AqeSZyg^J zdziD$OBHz>HlA!?&886l09}Q-cG%EP)g4Gzm1!1$D2ap-)1)ox3w@-zBUhX}tl9Nw_D!I0_#-=j&&HrW9tlL zo#KIV_a2UJNny3ZZlv}WEwwj`hEnM=Ug8Be{djs%-hvESjX}xdl`f-LUa|~Lxzw-* zqSFB`=on5WQ!#MZANBbNjarCX9mN{l%wI^JlUhJTbwyfLf74Z-rqcAVoJ&KOcb5h8 zL0ljAq6*r-n{`^2&9D}J;K$3$HA(Q#P)y~7$*FH@jVsbf$^sh|vX1=4@U%=(+`Ln8e1M zyC1YH9i$1)3mQ$h+nyEmte1M&P`VNe8hI8MWmu_Ij1{#{EbCd^HV&K7R#+|{Aryq) zb#mxTD8QZzqDR~o&ge$0j*nEgR=f=rzapqYUH_>MMta35QH5$pOoz`uhU(V^EtWCp zFhwF<-(7zwu%J^zC_kFSc}D66fYmyVKqKIGvV+RMZny|1rVZ!k)z9+_!?;!10ze%{ z2=DM8+QL3;u0@`zXZE|a-<|?Z5n?LL>J9+OL^x4m-qBP`YhR1W>7d!8&YkU`DNr^g zfKWjwlJCIa`b7#6!XHoMJ2^B+_6B^;F9P#!RwnZIQ&Zs$pL3!N@s9Aj$eT%{abV%|cQCOQ9+Xp%FaQBCkR@vS`B1&k7x0QQ#Oa zu!v-9XQ2H9OPohXpX-(TnvN$IBGY1lV|8{s9*t4o)D7KQgGDJLVIr9Cj@bL>8m=q) zvCcXb{KD#qQS!R42#3Zt*GkLP9P2uDk^jmx)UYLtmiJVs?v-Wn!nA8F*RZWHj&CA@ zAD$L};C6EiBP|#2^DkIf>bw+_#*=vLYNqR%SFfA$i2nCiOtd%g!{3*w`9Gu$laTm- iCxr8NKY?{%T()u=cggLwsdALvn5{GaG-K_qul^SajX=Zz literal 57939 zcmeEuWmJ^w+b_mew~Z3g3L-Utbc0GscX#K2Bi&eZ2*S`HAl)@IV=#2b(4eHW3^~j& zoO^uV|GUoTv({PX%fYo52sqC(&wbz5^{Z=#tEYwk%jOGs}l zOGodyR@;1e(*}FwReQ=Te~dz^Q+cCfjC}KM8}4S~lSRCK;8yg$y<7UL@BcC{(eT@= zN2+l13aw1>u(%I3;6p zxZ6$`Gd$1+4)1OWzT6*_3fh>eu}cj&ni>thaA^e7%bivBZYfqua?W?N%wgn=)kqxb^RY#PKv=)c%zEG?R2AL>paCam5t7=kEf_4V&4iYQq%aRcdV?cb6T-88U8?in9gff!>upH zZ9v2+Mns9TPTQ0Aq~A606BiPX;rHB{RJCL@@(66eZ3&dWx@e$ zE_;r-nXNRi9a1g+{QTzd>jR}KSRR*tzgTh1OO*1%Sjkg+)G^$^HYNVJjc~fTCFegs z?Nl*WxE?`c#**o6+3gpnQe2*P?w(O9K$@r-xDEvR_Sn)b%ef$_ly6HXJN}QnTGXTpwi#I9)F&6O|x+j9HU9 zZ(Q}byeIciL67{xKX#V(VOwKj)us#DH(&cednU3HtNiF_PTDRKG19$$F%`(@8 zHmKyS2@@}qR9+iJ)F9&!3u3&hSb9`BU6==2g`zO{Y^~=urXep-a$q=nQwq0LLo<7> z#NC>JHg@ZGPMZf0PE+1vKxFL;-=H|3$79kh0gsKb)Cs@cRpb9cY)$cDZ5P_`<WS@%7rw7 zeP00Xxc-ULaMVNI7ChJ_%0EKyxE@pnosMQX{-Y;rfO>aFQkY|tyqD{(b&kwLw9veM zb-!H4S6NCEevVeXEX=dC7S>M_ccZB~57tLV*$UD%F{ZSGVAFQh9*ij2*)TD^8+WQ` zg=er>VpTH5Md~~|GA9T3JGT!f%%u7Y8BdDxVq4>GY07oM>o$r@Y@bh$_X*B8gVI20 z=Fc++stofkwDk~e@bwpCBqSax7N^2}>i6f{)zN_Cxrxs{*=JkTyO zig2*%VqTJIL|0M#P6&+)>-t*dkJ}|!XK<*v){nu#W?T0vt3$J6{XeM)vSIPrq4dRv z0j|h1&!eeCJyV0t8pk<$zby^EffK3oDbdZ+Pp#*_b7LtG^S+xe&IxBXYWjGUEV@2E z`mjJas{a5=Sk7W~*stOM`LK0JR!njhv1Yyk&zb^m>bw5Ev}V9C8I;`Xn-$2wUs>mP zJH83k?5D4OevRK11IO%!R)H#~vG=bJA9QpL@}91xyHTtrTg7}=1GVV;N|KprvSffS zYHv2^{A{Yy$hk_^;`dPY2kcrFa;U~`(Ak$#-~7$@D>TmP!rQf@*NFvw+<`6YSl`Si z5pCuT&g2cTtxD-539wb&`cEB7d8|6dsLw&M)WG=WCF-*C>p|Y>PpE9C=8RNxn6*K9 zVk~}yB;E}A{x8ee)OiDJ>H2*ZRfzkO6`XdPk;Mmc$8G7Av-ZFQ%Fa(#% z>kLt}Oo7L`&3R0e9ea-@^s4mJb@p;2jh#;RmOAyegQja8KFHJid>Kk5927_;Di6N7 zO0QqHposgi-2LeWOP2p@i^df=N1r5aYiiFItT@LkDEWth$2EhJM#4XXFI8JuWpw)P zj25VQLL@f|b2p3ywepp_+k*D{g}5QrU5p=0TYbrW4}QndMJAbePJNFN+tC*WN4I9l zSb9Kge4t>w2@exO{KDH+sgY%XR=}Kv!txD>ByP3gc9_pPUPCB*aU)9H{R0xifnjc{ zkYiBzS}G?@{m3)@G2JhWP6@c(n(f-g4Z}95K#cv><+ACbX9C8b6pBTR0~ie+QM<>;dSn7Kka^UPSasP(g+#`z+{C zbs-L0NAqK6xgw+b3z8JjD&Z@jN>n@@RpuLawCjLbX8NoaQE|0Z7^VSKVlMaS9r!fl z00A4(z%y}B5?A{8#yIiSF-`Va0Y}|Ed@8B@MXNOc1qk5Ial1%0;_Z!Nf}!gtOR;J! z8Sa`2t7Y}`z8t;0_fxzwy%)nN*e;yl_Xq8$uFivvmU_(Ct7aYP{X08!#3soEegt~W zm?mShy7m1CXE7fhso^%|+^RH->%R5h%1BSxI0PKRSt@e);~mQ88Jnuz*= zMX+xmK4+jeR16S8Z&JmJHg^^4L2jMSx((Xk1_#7;XA8Hh{TsId?9e&Rj$@Ly#pyd2 z$ZDiMJsR{!AY(rJw{6TkVZ5a4#IVn#r2Dr~{C??Uze<+? zUaZCN2kMA4%fxp*uTC=3&CVUR6R8;ybn=5?gjAkZ!|5biaGJFjqvMd86A6)yYqbYe zL*aPVP0f)TCK=-^EFZv#0`##AqVG2m zrPMA2;_^V(LZW?2@?>djW}x-`)8cxjJ~r=a+B~#ZaCW6N$(_RaI=#UH07y~b2=+=S z3?6JS$9YhykE=a=f7}xK(!A4DvPcjCpyGho*<1g7zX5LjX814)CR`0eH45`)BkIt} z9U8fEHl629GUzJSJQMK&R3OD#XxIB|BqUFBH)fFo7f6D+@{Hf}NL znE-pGPLT3fc2GNML+(FV`M$Vn>UULN;%L%p{TO*3F#as5p)qjUp`fnIi|%#TBj#^9 zK6_^xjHM5v(DxRfxcj`)neP``Fy6h@(j@cw+3eH4tFr=~6@iB(6#teJ`>ldO<=wnp z!8!L)!@TkhcBYq0J=U23HBH?*(9Z{Z#Zi~nMehCu-y58@>iwJG8FJ0cQx|Jam6_oe zDRpqMpJODBXKS7>t%uoYO&GbhLP%KNiZGqzbE1y)Oj8AWiUqVwXD~mDF-x1^02^-# zx6QaT>)b477Xm%H)PJ#?CCeB?_&{l@&(l!M6!9~cvwpUExfNsO+5j%5_;!000OZt3&p*0vQ z!@mTfuj}up3`L*2+Sa;kwsK)N$zY?x2U}BoWz{|G%vAqkgqru?7+3%h*nR3+*r0F- zPQ0DLg&x##yB&&)_k;HRZ=|4F`gv;MKpRsa;+u`RX0KMEs5C~GHUKC(rVb>|4n~<% zkP$*upx+&hX>cgihs$%0bUpE{IiegXMYcaa)TmQdu%rM_?Rn)+&N_FOu@OxCTZ6}M7@t-qgDGa`7bPkT|8gcgCCBN`2 zu8KS6kxwVRpL43X&ufJtM{C+%8c}!q(@rTu9GyIqp9(VY%+W@@Zu};p9@qxb-Ikp)1er9u4GT-E6Hp9Sbqa+ORe@Tc6%oq<^OG;f9Wz zX%uX^K2+EhRV9Mhx6AZ-a>FwMTFzQcFT2`_cJJfq9NS9cq_Za9Y$y-ls9vf&5DvM+ zVETIJHt98*UcqUPs-SiR^*5(DXmQ@99!sfk^Im(L%#{Yr*Oo!4b8#`fW!WbUU6b%Z z87zR_A~Sa^35%2QSq1idWPFN(o_?+ygyD3D()O=;<;P22{514N0bZ=U1=ABhxa8p@RZ`yMXt6O?^kMaMYA{fjcmBeqD`fd< zS(yQzYZ+eX(|NI-hTNePZ9`8F571uxOQMzl|K%tJt?3qZV19}%J18#5!a4>IcYt%Y z)~cep>c%t$cKfBy@dEogk_#~9zDVqmnec2a??I}DO7%Qb-FHvNW2L&k7ot59eM$@IA zbmlh$;ZJDlL|p5aY^rQq_qcza@D@5(cRyjK3S|#p(n}bPELAJZ7LPQ+!YU-I$|!0e zI=$!wslX1OvX)viYs07|J1j5zpdozlcf*JxN1{K)6p}IbC*V-=oF!d5dJqSrg}@04 z#z-`gj0kL6DZ91NzUuR5rw3P7d9Bqmj>7QKnP{ibQSQ4wMiL7PJ2*S6H>e@j_5g zcl1C5Tk4%LwkyiA=Bl&mT=4zyhov7V3=7fydH!tQ5d8K-pABu?dR&V`;jB!0Y_Cf2 z%{@pvAa&?;QVP{oG;I_YXX#N3x`f=J6@JRmsg=O(y1!k&kPk&nJ>ei7Q|I*Hb3>8q zIUfn$qwn%@y2N| zx&kbxLZ_0qWS5{38C>N5(0T6!3kpFVL*PmFmvaosw7&?7l}i5rRJ93w5TLMj%-uP7 zYgmhhW|ep$V~i8&d!BRre!&sNH$E6G>y^MWfbIHvItKvUsZ-p7U!6`!Dunh`2@NF8 zHP>(FjfW)cmZ&9om6qIGdV7Ow(s5}LC|K28F+WHj(yXvpo#O#kaXb_QvRP@=D<5?a zrERsu`N%W2m`5seT#U&=t9kh6!RR5w(FfbB3}?UP`_n}Mcc%J8)Gj}dhMO1q2kTtc zlKH89d5!Fyx2{>hVLT!7f-Y&4PT*2S%Q-@ua1dngLXj8q$3%rZg@XFNF?od0cv{IL zp~Ous`d1WhZvF_l#o^Yr`jm->f`oXXB}7cW$#*FwiVQInsp|w)9C4Dh1vbEyBD4u zhJSqn?h#UOt+t4xq4Gg{;>5?aT~5-LiF8A3W&}`*xS5RFvBWpwd~yBJ7M~l~R=%8VBM=!atCXHPWuJ%thhm0nttCl+}nC z4`m#{;imhhJnC)$TS4P?qiiq$`w4h25J59X=DW@N3wr?i*4iWbuPH-!2vf7Lb{^p% z+L%5K(wF2jI@rCYnr;R&(Ix%?p#^_~=7vX$`X48dLFcw=G@vTVKl!V1x%ap}mFxIC zsw!6Y<+8fY4zrkJVl?=2V;ohB3lox!*FP2&cMORxVc8pH7!)$@5W$;;t z;IA?J#8C8Wv3QME0J9FwYkX9x@`{adhc{V%j4Bm$m*7 z$#s!u9?)aRrODsJxit@yuf4nhw1qxIR+sPiJR_fuWHS3(U8`2P5JXNFy*~Z2HoZO# z^v$)WPA`KME~^NPg|lQPdqk7=0$w>$W?)uzmgzpC;2=lVxh@=n5~QFiOLc20M@Y$b z|H2&ikRKOdwiy+-QJ%ve&A+c+UJ{gZQn9j{ezB6LF7`rB4D5CESY@XMsAQraSyi-5 zd5Jn*kdj|c8iuTLQ7SIxw*)+&s{5v$Zd3=I#@@A-waNad1cj>U>v6WeC5q` zy63aMW6!pMVq9K>#6TI}{+k+aP$;Pcsgmigj`>-5E!m;)njoiCk}*)V>rOf7rK}{0 za%KFW3qbyc7YsCB)c9wtzWc~T!kJaY-qR%)?39p)|G_}`7`PW{mT;3MB~bvC}V|yRLFBnYlql?KHMjGREt3`jUvPc`U-nxd}x{zzXqaOD7zZw@=OaCNV0@x@= zZ-f4X82C!x%1j07C%YLOG*WmGGK&tp^t?sA4iBOKZd^ZJxfA*3>GL ze-2OWSY^G#K3Km7R>4+=m*|vas3zoxS33b^IEW+Al>RBXP*^URN}VQO|G$;&+?U9S z_0WCj`PFgj`Y@JLtJLPyYyROh?Qxt>6opaIXAR#{CtCfEiR2p&83f%4xq1k8d#VlM zfw=c8&s=O2-#}OOM-TouSx(;kTWw#iakck8jX^o5nivP7FOwrp?HdZG=#@Dd? z&d#;rS4e5(!|=%`j17V@bTCK^NhttOWx7KuTak%xsZ%+4AIg5!x(r|L|!k@lZqWUU4@{r-eJM6Q#YwZ!AC-krIn2`Rwx0ZFSr3vtX zQI3k1csk@Jd)bsRrSYrhDp#sw9vG8f$ne@dH`0=`V6%&X|{hMGJ0;FW;94i#mX(=YRlluH9c_TBZ&T6#?Y`l109(%HWGhl16IZo#PBKN&oS z>g9cJlX*3_zrv=fSHK(q`ew;M5y{Risom;Ha@Fe4F!KVyASucUXiN?V!o+v_!cMbI zO=nta!GFL1MJ&Ap`@k;n49s9Hp|r1G<|fSn5m2*XuY-morUEZKl5kcuBD}HL5k;lN z=TF;7Bj#W4GI#xW-p@6=4!;*0RO&`Ez>$Rrp_Srp`SU#A0n9s4bCFGM*d{uiKtr*g4YJB@2x{s+VI(V1vKD1dT2 zfioc*UESW6ewlz7Q491Z#xzDx&C|>TDJff79aXge{Pf7k1@+4o_=MkqD=^$u2Q>bn zMpjZFWVtJjSF3U&CM^vRv9HH7(G}<*Y1#ZYxv`Q>-9HAq7;A=z6szE!M*pny&~E;ZibH=sfaWfqA#y4{HJ z*Hy+nN;IowwIhn_KqK#}&Jd6p%#@&M+2z-<)@%Y#Q`C61I6va%`>K8cZENR<*IsA1 zW7oLd*s~nN{HCr~UPN7Gsuq*;#WW$+7zp;%Edvz5Bd~Sdjb2CQK;d?It(b3IeDOfr zMJGIl76SE=iKEv8Y%iOYFN~A?aD&UwWm3NCduoVs9sOdRA-6FQt4>}8r47Q7N7>8t zRt(gsZb&5)B6N}qptd&1BvHG1Y1J9S$re39y*Np3vl)?tU;lAOYWAl^?#&(0S2GhU zBcVd8%!;q(z*$=-!XR%*)YmHEHo5TTYu_Ud^^GfF{?Uit%W?AgLi65CI3qTD_Kx$J z1%jYh0m@UuIAqTYm>5dnow|CaOJbKlrPUe(tv_umnd%#~YMxQOF%OSPLY5wyUVbx9 zDNerf7=Y^WE!z8|Lck7kPN7UPqBXOeB`SBiZ9HbFRduz?uN_>gqyq7Kod#3G*Vw1QH&m2pDDtjC0jlVW7Y!nGDZ;C2;Xx!%F^xMxF_ zL^t7X)Y+qpB340R0sKdy5A0~=tMkN+j*OxN;Gb!e!l889 zj}es0-+0DPFD^Ti(FNi63?5#3rbqsUk#w0KNU2+ggF%FSNY@u*pUN>HIHnu{eO@q4 zHMrw4T>jZCuytxCNTaY_OtJdGM2*R{!-wo|_(Akz9^A0_%ljo2p}7Q`!Hd63bNZZl z8ra`T4+698DDyEW(}MpUlrZcjV!p(Q8^HH*eeEC-d~^gXFFN>&^IYR7+l3?+8| zKL~F8*R}tzW<&n}CH{MbNuK>b&*}XCwc!6oBnwR*o4O<0p!0H8Ll%I)>kgnm0a1-V z++C15{5{On4}Qx5lzA0ml%feB1I=vp!u6m*iDO7g%)lb3;jAe;z)_yqSOaEWA6$BO zzSZdv2Z9nwEned~dU-L5JD2)kFtwmlZ(0$lcW zfXvl^+HFP6YyFbq(%nt}Z~ss#(?DxAMECpnMu8rz&D#gaeR3eS*DRl0&zOg^^6N!| z^H$%(9z@(^K7nwIELa~cn83CI8uuD;(=OE^|F39uiU&%G8k1bqOQMRZwa^w&bMk)j z_R=BINCg^Y6@}3i?s`nEatbeVWJ#B+7^jb`X)rneH{v@n+y#c8%GB){Z4h@*31tZM zHY6g2Pd)e5#N&vqa_bC0MA24|8kzc+U$xQ;l=qv+d16=~kC?|Yx_u7PJ(_kc3jdIp zd_ZVyjtb_q`k0ga?la6Sd(rviX?=hTMF8*$)`2{%6e~sWMh8Y8{h)R#jeDY;JoM%4 z0NjP%DbSRS93oPN-wJ-_slD~t!yWzQ?s)s|2m45wA@9rnGMZuV7CS6J1z!NDWZVXV zfWh17lk$@RqD0yXQg8-o8#$3&J@;PK*4d9n(@Tir&h4ad2A?{3fX;SMk31_w<4AA1 zcQYq_iFv##^fnC*gnfSRKR+RrYw}X38q=?PIY+@$k88tYdToO`lXKXEJ-XghyeUA{ImRr=mhc38rWqds{8;pNs=V~&yUjcYe$jLWgxKkzO5tXQbgaC z<{&MHj4!*9%aY83#fX!jC42s!CmO^73@Ebh&RDdx{d{|)TJQ|W#zR{+LlmR0d)NxB zVdQ0bekIXVw(7*dkuQkPIkujIWi9~u2o^C?L0uV^U67txha0)D`2@wuQgq**hrL+@ zsIIK>frc5Gqg`bmZ|@h7Z9=RbZq*E$VtjnaUgN*+f_|-nJUcz)plZvt`(OyHj_Oaa zus&;GJr4o0F)deHKY(t#Vn2vbY-}Kr1hKGjUn#D>HPk=L4Z*6Nd!t!|+9$zwAnLL$ zA(Daq`sUIo(Y=47mYHs|76e=sN6AQ*zNMOzW}tfN&`P>!g9n&VHy`Vi1KVF0LSj`? zhnHteV9vk0YVW5E*UHY2{GMI=mfY6hB?en;KL8npi57+nTtE)?6a}8mCS6-RF@K{g z*h+NQS3Ru#4FUV9#(gGzxxX06ZM$94(qO73Nq9NA2O!OuW7>*v>N&9DlSadlxcEhvb(-CcT6}Ai-}=E)Adu{ky~YeN2M`nbbNX6^{&v_ zqMW(7hv|BVwlQV@!cat-3hJg?Rn|b*1>KCIxx9?7sC>@pE6>&>@2nPZUwjWdY-H*L zk)XC-(7ly`WWAMqr!9hAMB}uK^(}Of@SB*(8rfkV6s7t>Osp`U@zKFy`YYWiz5RXjL2NJ8S7jS4g_;y|#( zmB^#0$*sxnOaaeH5M&r&<&B{9)Kq`O5-eNElLCgj;+SeM-Wv3ktkXSlSV-0*$ZD=8 z5X3i8zN}_h^0Y7+g=eFH!DnS$-Jj76gI2ad+p-Pa3>S^*H~$bLH$a3MKx-&j)0Z5` zK4XG3F2@g#3^cvDbd^GI+CDdR0$kVV7g3+dg|C5yG5S4I@7gb%12UO28?>vSN0wlN zfR)NhCAbSPJ_pea{BTQf^7B*cu8-e=u&48TzSYkHxN~f!h-t?Uz~yNC1J0!mK8D7n zA^WNS$)E2;fdMG3@)k!^cHB3q`3oz7MMx2N+`K>zl4*JIgawfG`A&>nevbtS&+oKu zeQ^P5#E2WuPpxUh!%e*iA0 z7!Y2H`VOp7li%R{3o;PTe<|>Gro=(bx+8El53)`lfHEb8bN(89VX7$|bj51yg7qhr z>l4OqDi)^)>jGyN_z?6>yyHHju)J1l76a4``t14de)~ z_a2J!2G~OZf=CI!BM1a2j~{@=Sw8fDCkyCRhQEk=+#^dS@sAq0tWrd&R5GOgN*uu zXjzCpEgvUXDx7^s8xkB5ygn^gH*;ke-BmA1)CYX*HKNZ_cek+Q9{#;e`A7i^7IZvm9pd06D!*# ziY5nI6T;M(Gg%O9GXRWUw`=4f2! z;xVZqfm(N?ypg)d5PGYP)BfoMC!Uqg#S;mza-p{SR1@TulYnGX;!~yfC8Ehqrvrxo%wd16Zck0XG$s2{?PdS|bSRk`q7_ z*mlzfB$a#N8pdWcg3kJgtwsDC8AHH<213=U&C;J|{vQhc&z0EKG)kgL6Yr!xUe1X+ z`~Z?JV$Bqky^qVeJAC%Ro^T$kO~|t1FtI9erPDRs{q#ho2l3562yE^J_88ZtXrc0T z76eMzYb}&U$i+Cjik-89sJlC{v|}Px=(a;9?`+U`VwSr<+*cLOu57=jWR26sBJNEr z9f9ao=^SZi;-u=5p)(|jXsjlpf#xgW%18Y z5bbGa-y9mCJ6m+pc|nM$pl-Fwka9*&y5fiD7bx{~E>wL1`=u?Qt!gQDNps5$RvLcB z98(Yez56d9TNDX6TMg!ox9x*X!9@!&(FYWT5k!naF6|ew#f|$Z@1^m_80^sq1eSDE zNlsJV63ORx7in)2#dI;%SQ!WOW_!DC0|`v)C`}}W2W7Ph^3yuPAg$nd%WFL^39h^e zUfFbi3e?2i)MKFOt;Vn1MXv1sAjSZ!TlQ##c5v;xga*ocy?m>jJ9#LPym$=sH^5jN zTc9dU`6fH$r#Qw;c@!O_iSH$V{?RU752z3+NuGK1Y zy1lX;u4odtQ0SUvzt!Yejz{RstHvI=5Nd=&_-#*`+C7bEi58PeCLyG@pPK2YY_V3S zscr0|Lzw5Yy>qbT>+_M|QM1h0E}cyVmOz9?YY*9zkT2rz-R44@?1iZNPzr@DcKCs8 z;s?wbC)y+LYr1_s87@3Hwc(A<1Y+SXc7=SC?In>hJmE&WJ2>B({dnlUSl}(vbLYe9Qg>Rq;y5!qxSFd9D;+}@jvNS3)F-Kg4U^4M0Yf98${hi%lMEjq{vA` z=4T)9S9SQ5FB>mQAr~V!93^qUdQ-_4K_cjc5VE}SYqOVmt_JAYQbn(lg#R+C*A^F$ly$SY+ zAMKu`+Y$NV578sw-X+*N?tg;<(ghviZLiuySYFmiL1%(}E+@7j#hp z!iYKy&TTx3PE62gzx{~V@r6#B7vI3~{xT!ss}X)FE4Wt#;RMPHyDQKAvF2YKw+|f4 zo#ldcz!}ka%+7WtLhhk$dXgc>*W$f@7_)D1sL?eaqK)i|F6}epdT>R90HGLQd_f^r z$QivAHI=iLT-+^F$0WB6&C_*y|wAfvE zpFHH9w^Wu3k1GgIDiHHux|f7T?#WGmEA&cN)1yChie$cS<=f-*paO7Bfl+eAg_DfJq12ZgDwgfBFr z+++@LpR(|en^!gQ+tkOcM0OOvkiU`{M8F;ZMa6b4tRa(p?cL(;YDd^>8lpr1hPadk z2eF&Fs3qTYjwNHt38%$bqTvK=$F*2Xk#N@W2W$D5O-7#i4r8P1KtIv*1t7}FbPz-Z zr+f{Zt5AvqOR!tH*?BC)?6fm|4z0p)yb@PRzft;N{lt6)%N*Q0AFi8lXhD zk>aKx=_NXt24#cm&4b2aQj$e%j0VkltVbC{nToUF=Uai@m5MY0+0ueZc?y6Q4SPk) zqv?Sm?Qt6ix{eq~OBzodHZ{ysP2BxKM3=WEPkyGZ$MQZVW)#tC$2)UQM|le%GB@Qf zD09Ft;}B@T39^P$o)j~R8nkA&MV3FtTc`>DdJm+Jv!dnJ2eyDIl+*>Gy>1DDz~AQR zIKn{`iEyN;%@>wz_u&qdlB23zbj|z&PHX|uSq9SteT}v8NoIi}f8~_c{F8x(^33xx zn$B)Kffgyd-+6RWM!i4>O$TDY)4KQep)v~7A&^jEL`PGM1!kon=PVu>Dgff;Tl2cL zN-xsE{FuB$rQ$iIlAF${)D9K7Qg|x})H;B?=1Zb1Q$0~dyR;AFe15UP_a`RJfX)>F z$Fy{#rE`yW+Krgx7IcQZ%bx`{g_E+;Y*5%PfM`%c!}4o)rE4!mtZZ1$FHTa=c+G0vuG&7^&_gP2KbqdLONYs!^CSJ- zP`Gzh3#dJwz#w7VCgh(2LE=Qnw7C{pL7OWIOo6YAP&gXjK-3#(5byi zj4bT;*LD&o%?x_MF4g933E|G9h)BrZv)0VB$GbxQqT8*){s#8cf5|7O@^t?DK8->?nrQiOgAzW`ZDEH6R$oB5kDwOzR3vJ)9^X) z{6bTKxM?Yl3R_R^WQFQa@RmP8#I9upwOMZLbmi!9_B2)XN+{AS<6^rO@t!&mw-j!r zp?IoN#vbu3%jy#{6Qlm1Fw9jHfjD}TdYs$-jIch3IlKCqX-M!?YFchuZhZR63i$mq zAL|?cYJ6u?R9lvcE%1)aaW}6MRP({{^@x)7Ds=9C!ay=KC|X3QN~yIlP2dy8MkFV) zU;?wmIXIGN_C#YN=Oi%Ueb~)rSq)9rbN5$m61Vy$4NJ;KhWfZys8Tlni{oVDalouE zO&w&kQmwOkoj}@W7vB|RX6+ZYwSgMUeQao=w$^#S3%31*X9dD;^A8fZn(T0YZ|q7E z2Rtau10J-9Y@wBtR_sN4oUxVPNU&32HMNR_awwjF`)2t`!lCR|w`mxeu z^!*v>1jd2-(Hwq-I*X;`I4M=K0+8O(gRFB`$CD9fN|?8kx)Kugpx8NBCmnNEhVMoZ z^N$riWV_(K8I>^2P>rLKa_4-W*p-x98_idY%xEf@TtL!xC*4mO?c1kgu zTi8-p6^SHx&>9eHwfCpY2$-besZTw8VkpVr=I2kvz zj$4AOQC0b3i*}|4FYl6eQynm@C%59VLc6A?wBuAN{c&OIQ44{IG5e1Yjla1SomXS2G%iX=Wn$PBqdma5X%a0? z*TiGo5U1#*qGYWCxt%sh%khr9wkGUrEX(T%#@7uG>S%_?WJx(qCPo9GY&m*Bcb$ST zN@m^-DxcOJhNMtG z;Ct9mwOKZz{5z^6oHbor4|P?7fTr#nsp=&DFO^y`1?tnk*uG1ou=JqmP2e9CiIyi9 zcrVrp$F7jJ?X{aoxBGW$r4W@ZcpV!dHf+OND)XeTmpitD>lnl0v*Zv8PQL#lXXdHX zEn-stXiQaOuR9Wvdj4^NdvQH+QR_tv}r#FPL0FU>F(FQZZO zqsY40Z};#TapI!?dv6_rf>(Bf$Ja6X6aM^@XOi%lT|W4aDR7!r5LoJE(9KXxJ*zXoJ% z0?#nTF#u%1)TLE0vJ02Mrb*T7^b#mLCnC9;3LjsR+pG7mYOhNM@q*k{4?Ka(_F4qw z+TOCawRji{cIoUy9ByFE(x+yp#4cq<3nY^%FN&ar&bo@0rt%4G8rRYZypPyG(B85K z7?xSQKc6UruCcrl*Weky5JK&HtFZ2DL89io0Iz`QDuoXw-=lgIF{ADr>jRrB7qLXL z2L>5m?Xy!3+e{)(d5>E#Nk1oqlHcut zJ~MGJe8xP}MLbfUo)d*aj_$9znI=-aLACCO@5>P?qm3Tzi089uMey|})p9!bkSt4H zsv4jY?C!$oV{tEJIbmGUPSeCOz<1MB*sa({yb9z=Zg|h=tsk7(JiXcY7J38G$n7MI zl^)hdA~1Hf<_U4Qd#Z`ewqh1gl^W!*OC*#fW(K=&20Ia+kU3h(Ihk*`t!})qM#goZ1sXq+uZ0Wph`Y z`kEXSKrq(LGwVqfjD7mu-)Ol+Cg2{vFlY7(_$SJ><4Ikxx2ne|7%v%F=SQu~&3a1r z>CM{RsFGSep6a^1U>dPqfN!l&M(iTbC7b1GW<0FtB91J5Xdc6rwywg=&cO7Y+BRnl zO&q5{i~!2-EU`KcwcCy7$z?tRqpp(l$?HtoPEd&<1nUn~Sd93zTKdTkG4r{A4QfP50URsUK@G!aGbsiY)rZ@Yn zSc%qY|IRydl(;;JtkaofY#KFb?LFpj(dolfVb@NN+C`Np41tDsUf&Z-60f+R1#RIm z#)^h}m_kIxhMb<2m9@}mnhJjLm+HT&gYqPOLjp{dy-NGbKl$@!9}v15&Ub$dhIvh9QbKO&)dMauN*v)$;b`#Dz`ER3`61EA>N3 z^%KpK=<;r%hxQen!k(d68)+0cscEcDlNwma-WY3OcrV6T(L{!>^t`hn_C|z)LMzZr zC2&Tj)%8V;AKBxTmS;FfPYmb_r{EFKcQs-p+6hJwoX^RxP&=DEY4NaoE9iY@HR-)n zO=(4KxnRo!Gg|q}6|#S(~(0**{?{ zL;FG`7`4xx&r9+0P=OVxA&xnI`-leE-Qks$3&MNSk8)0WbNlvLa9xkxfn9EUwE>gb zOPuti-~k3}b5c4jQBT`?VLs-_C26DY{Plc^;k;|3do>HP`;wSmj{jMlOz>vsSG`tM zieY)v!5=Yg=yO+9%at1C+jo@`)%}!OvZzXm7Kbn|BPSLKD#= zlTJKk9x9*X8-5KXFN{a)K*cFdy)C+L{c8AjU&wdy*vB2qk~4!ll`$$gc&ICXlRgG= z$ET#UTCtlbtF|qBT;^-P;e^_H_{ar=PP8emYbQ)LWxEgOMVE-@tfaez z)sy|KFAg!Cb-~z<3F?CyxIp|LI2eC&V2NRhJLIU=M1)-Hh`h?asDB9Zq6I+oXtBnH z-*kj#KQK=m?3<$9`}|V!8K2Bo9k-+CRd(Av|OKF8=(w(u0^T=JHBoYq$VBrVLOdptLG-!oOB)0F0!La|l zb!0r12qKAjmbchlk{Tjjb$|Wkz7RjrQ-b(Pa-oR<0+0N}JEURcZ!|~`sVMmtza|Am zKs2p7>}2=I^ku^3^7HHuP~9uUnW%m(B~mEEl+W}F!dE)APvev}=aW{ki7hc5urJF| za>|gBCe@GqXRy1Jkr*QFkDu6k97OmR|1x`KnvxO&GK84L%Tz4u`V_F|^?7hV?7xVU z+%H_%pREAxSRuO#B+J$6I*b7C(XbBY*kRdg*W?$B)YvVHYohziOjK=ja-m~KJu|Vx zw+GKn?Zf*RZ<*A4)Q!Ku=NCTaa#;>C16q?)9oLB5tLM_wqp&Kzkg^hv!Mj)bybWv0 zMpCK$IP;4Z!}oH!BGeaPd_4%A5ltakY79=CSG!#$&%0PEFst*DqDMxWVYA9TDrU@# zzR&qBDp%v>LA&Z}D=VL=MdxE!5x=^G6O)i^IN$|Nq%KUhEoBc|>IL4a6~`${qng+k zyn1FR#;29X5re0Qxcu@#Ji(x^Ph)}rPNbb6R@6vomxJ$AP-P7bhrYusJoiZa7!goE zO)$w6DVla|Yl?B`7fBM-k$k|GUnBnGRo#MT^my`$`T|dLo0U$29;D~0hAiUiwKldZ zS7nA|W|ug6DtWl%oPsX35P+!Nutj*#}uyVUo|H~k=In~NmI%>$N}4a zc<~Kmu7-wqWn#tRsPVYs&kj%WI}7r`W`tHWMK2C8;6C&cg^}|x<5JYNWY0%R*^q1^ zw<(g4eS%e2M%;b=9(DGJ!Ilg z*0#bwiMu)Vyrq$7x@&c=a=#rHP!@>0_y;6<*?hPi+vKG4{ug_19#`Y~whu4!7~7_z zlx>JKkp@JAp`w|rM#<1TNK}S2Y__Q+QlUsR&zeb!O{F=FDvDAXrCFtVk8{=D&v!q= zAJ6-Ip5O2N<6VF3k4>$0ulv5P>painJdWes@Au-zx69>AZn%b~pMNc!O&%Fc9?7X8 zq|)=6W)~cOeFcxtej5er3bX5+E^>;Dl25NLCf1Y2(ey+SQC+L=b-I_{G3M!))wwKdp@v7wt(1KdH44^UM0`0e$5H!RQ>TvwXA`$z=JCd(yN51aSF%p# zzx~UUFDsol9B{n3Mr2P@{x!uX=aSsrDT|L(kIOpUtZba4dh>_VevujU+5tXB~6e&QE0cumP`eC*DjC_sxGc4%&b4<_|cg7o@sB z;MFjURU(HxR^$uh*?y7eJE!WL-mPI!pt$dTabxJvEj^f0>@o_QX_gsl#>0^*&fs_JL@0X zYnh+2W4h~`i!JinhEDdmU$aW@sIpI)GQ_Byty5U9?lynbzMZkpzLti%1zt@5;h|?` z`o?yx%R#fKCJkpRkNV45?R|^h-jsD5R{WFF6SngU zWL0<;4k>zFIBDCl9o@VHbE^$Qook)rIJ=I>%k9bVHqlRd#q~T^Z`T3oTvJ}pUd!!E zD}Q~ga%}pFtQYY;17|+u7tR{l9r~hDEB*N5>S{d!O}%)P!_${3aPFO%7q=og`RL(8 zNxHkHgA-ox%d7T%Q)N<8pLXe}nEYDnGF@A~#Gs>iwc-t{?}KE*!Iv*~V|DkZ9cM!a z-&Zy+y=T)Xe|UeAey`8zohsTtFBd%2Y^XaQ(yx2SD{kq0)GH&E={JVlNA3^J-6kLJ zl-(V@^!pDGpG-!{*{ZsI_S@%RXCye*RU}m=CAm-42qP^J*}G)Lb@?49(;h3}@O&T9 zw9zb8w}S-!{6*hyFd&)-P~JY~GpDZ6tv^ltt+n1GV$6g1IP&Z`vDBA2u=o_AEd-p| zLCfAeN+RGVIEmQdsPus36-qMh-*7Fl%U}j%T3n}Z_UIDJxaSB=ngpU@`*4Xw3w^S% zW??4qfvjN*JRKv)-tJi(vGVodZ&t zFiGiA@Z>ev)By&FPoay|Vj?-Hx`-~U$hLjE@{0F$K$6Y;R-g!7LZc+*%P80rG2g)n z+-$b&k24R(w-4J~Mc*aL=qcZwgPZhu$#X5Hb8Y1@%{z|o@f%9Rp4}VZxNwR1Z?(Qh zw{64nQc7v>84Whfbgtec=#u$!iFUnY6>qO0xti%U-uQ;zmsyF_G&5zY_G=W_EV*~< z2i2JNCogQb$nkOE_=u#^;5`fj=DG`~=)|PF1^w@RV0UFz%1Z{N*2`R8CgXzj@|D?kpY^z{Q}#KOtfCZD|Ik}KttLV{FD_|7qN z{!$HlX@*!pidobb&(HRw8A95fTxy!JS$`0*^Q`@YE7S()_;71{`;B_r(e*{Pw%0wo zBJET|GukEC_SJ6?O;-2aQ$C!`xBB=sGcI;$ zeWuptuJm3GNr)N$#8WzCnFf#{ac1GjA9EHb^qv~pDuK>}>iY39eB#GXDZ89{_uuJh z=Yt05WXx#Dd-md?ruK~)+hjcZ7x!vr*ko;Tvy>XLd^9Ba8VncRA81(#sMSM9qm*qA zcum4w*5mj!KHs;#_Cr!Xz{jZzH#S&O=Cwlopvx#4lU|+AZAT@>S(u*Jk*Lnhcq

  1. 9LVJ>^fv76_&?j;?iWZ$8x0M#T;TbREo|BR` zP<`X6>MqA5ww_u`yKbj${WSwGdTg`1{NIPIQ}rwV#lu~F=YNN%_6eLI_d+IUIt&! z-&trFBbPv}H?Lj^u|udQ@fD z^V)lbWnOKB$JRsTO%Q|>WDf!)NNaupf<{vCsMb#&j;isVocyPp&gc$q9^SSB4R5`i zh%LO)u*SGVg62!$WW5OWNCn-qYCh-Sp2inZ`RZ9;B3ly03OS8lc%5<#h9ew z>wk1B6F=MY#qDdv7RB8oqJUVst{u|}8L6>-m{K}0249l+im(uoq0y*VNvC6To?JMG zgFqtLq4}}{?6r(8-s$pQuQ``gTm!q(GrF5MtSPs*Jq|Q7V$1pIGDN-ZpQ%$(!DC;( zPhymFT69}m!_G>0bk(kTDL@{8mu7Gtd{SgCFf;AVjQeJPXt%B7vbNn9Tr*{h$hn^_ zin5VgtnUB9ee%_BT&}h&!(z=nR;(GyHnp6oGm1Wt$TL^{j)pgb_+v)V%>Ce3kvCSt z;$sG*U#CUy6qgh1=aiLMwK3+|6fNtm<7aJGZmT!^pfbJXDnStdBPu1$q8L%r7HkP@ zu(|s5mq8c~y?E6a6K4%1RJ}6osdnp>n}V@VA0L&qT@>+imG#*XaSVFE_ zq{iuYG@H-h6)a3Q&k%Vv67mg?n!*-s*)1Os~W ztBx2Ld=PT`?S4ABngu_E`(u1tUzWY!`Ao7~yVxw4nckph_TfW}gY^0pHxJ2JIc+}H zpm5Tl>QqpnPV3BL1|wadnHaV=p9~SHF*$3iDRtp)8&~M|mu=Yq7He#}vzbmKR*JQu zkECm6`b>4{`6v(-UHYm0O}~fi@$@^g_aBT0JZ-M~6?w!=olE2<$#jwRm9_g=&WM`5 zCB{xHqx9r#Vuz)D=y|0!m2g}}n8aRV>UWYogKhbuju zJMz)s^;JtBZ$Fdr-UDjDB6FOvr!8jOI*?Wc0-7K4iPbL!cu&49);{QR^=ypf`DBp` z;XOUM5^Zg(7~v@f@5M&+d{l43v;k4#Zf0~7X zXv-PTg!<%)v<8Rwer2V+Q?%L^?2z`my-FrebBU&U)w)tE^z-=@PeYw$(#i?P2LBf; z?47SH;PInpY}_=3TW@fHs8GJm()%?O?u{SS@`t_^`)G9#Pp_c_$(NjELD?*uE!= z+xY7$>Gt&AB7fn0olsH3eXF18%-z`B1%sQS(uJh?uTEFU`?kk`d;Pp)ha#^fT_JbU z8gzCNPhM4B|COUXRA&=k=`V_^?PoTG+K>!_HnQY~pbo>hV@ZmIdlAQ>m2u=gTCMmx$S zi>pp|&F_6UNPUDa_T^PG|K4|Xl4kSXad?(aC7nR!*o_p0q=&rczrP}TvGlBrbv2uA z&6Le!GA)b$;J>}xc){cO8c9(>(n+v+4Ix8~q642lql9~_G))A#gRcL^8V%Y7TxgxD znqRRXy+m}9*3TQ)B<;M9+_08#_KzlgBM1%lTCtDPw{HWpASy*k*|H<~ZnIl`G=W2O z5Z@%%2|vrN-P~ueq|``auhqO#X@Alk=h5MioE0wH1y}$2^)|odk}8%@hS&ZCpEu9i zNH-b#C@Vdy-#^=}*TVaOhyCIv(}pzlpV^+L3W!IphW>g7mt1sW_SIgy`J7d=8`5;I zZ^-7Z3T~(=X50MXrjK9#9mn?h4SqV_Gu+zsY@Lj7hUV6+-Y2yocCbA8A$d*NACHO` zUXo=W+~ak&|C;r-JcX>}s`nYk#@#G~_Mw3quQQ<9PwGI+s5kbtPiJzs3#UCj&TgHx z)Wu5hY*UDDaM-`}#Ep=2_h&voQJUduGoi?EU@srJ9>8xBe)(l(>`QInM;swp709-k6t>^=wVi zzV6!ah>b*P(p$&fUpg=GpJpFC(%{(O=b(IF*?;wo&7#7h4@EQIWn69V+$SY* z7Q^M_F$D!%UNS)})6l2n{*YDN{3NU)zRnwpm@37EK4M5PH3;vfvbO z!?AmtENtbumBby7#h;0aZwe0(^KyiY&)Y z%iULOJg1Ug@Aue)-FWV?XRt?9;INK)dSeNnbmJMOm4BA=7?2+0F2!d>L{k-Q;6mn!LKDOo@VJ;VI zc)zGKbxRIK#a8e})<07;(B7MozC|IYE90r>icCfK+9P8!<5+BWc^2n+o?@%G6&k{4 z=guGHFyg@YZ84`+&?274kA6wcZBIKphhe8`8zg+;uAAHMpBapwvhQTv;lxdT63;^w|Cel0SMGwmnj<6UR6=Mb!}B#hR{O>BStvkvclz% zw=L!DO9VT1r=nu#4+V?GZYUHXG2Dav)t=kEZpe=P@EU9gJ>>m<8pBMT zT90@1r|ip?Qktr8n0esdwd;?wq95-&z9B(`U4BmH+m4EN7o+|p>(Z#*_Kv!b>HUXX zE-jtn>hKO8*wM|sqFz0 z{^t@yp1080+_Q%j^yVpyr*+dAB@Q3LrZL(|UlggEYl3r@_+|oas}{ zTt3!1!UGDQ7j+ikOc}^#I=$!6V=;%9Q!5H*HEP;b5^t^*sh=7+`BqitWQ^X@HsPY~ zD#=kDu_~|)H(Qxl-drGKlkTXLNb%&WC=}iX?x_+8)A#MC;TKDaCJfZ&xb=;Fn5FOI zkCl<&Y<4C-mU0 zw;0pUc`wG&#EYi@T4l?zF4((0SDS~wkkhVu@nRkQ6N8_+|E4bBQVj{!GMz3j;L+uT=*lH^a!b$T9azu+ zZlMx6Vf#thThxG0Q3gWX`@qlSO)4d(pZf>>c!}MFY*}vBMo7!V@fF0;))X|VjEzFb;zSxma&x3Ott6lGL#Y(AkbYpn?#X+6alK|J z$-gA$Md|@7DTOu8U6kU74d`R-HclAi2YRUbOA2@5k+80 z)#;}hb`qOEoY)1Dzkk9w1Y?y+sEU}KgGem)An8BKtp>9K2IK5s@96}i0EuzW6|yqz zk@v*S_j9YVwxbWr7=ppDwt{{|<l(Jww^{_>Kiq~mr2 z^JmHBn`m?5djFr{{Yl(xXV*j`uGBN;vO(BmJ|Dylz1{ur}qVy!SrxYAPd;1|?V zLWyb;AfU>0UPxZKptd*%D}yo+Ss&WNR?#U9+7V5%(2yR3D`YTvfHs&y3#*S`7;B9L{A_OZ*H|^6F+AsMDMGS|MwXcbO-)X(%y7d^pU?Dv`pK`EyNsG zs5))df~2I0W!Z9oR;@-poYo(X5_vk&O539!+C}g54Dhnc$XEe9cpn0BW_ps+lD&Qf z4r4AjR1ZTQ$t`Wo(0G{PG~&>Dsa)@CRcyvVdgGRKIwJz#Kvz~qs=HAaGRn7T6@tZT zDg~AXz zVt*6+&kjuaI|Zb`Gy(S1htM7h^s8k5NC)>IfSUVsxy{#Fsq_mgS~BEJ ze}lPO;5;BuU8NN0dCz{iB@P~UAHJ4gAzVgddJGmF=!bUBc$}FHu2r4HV^L0YMB|mThN6Q(Ns@V4DU7b~ ze?zxj=ooXlHrujI!8=|r;1cI=XKAViL6#X~Js#Ma1brDL%N-)bwnEQrJ#Y?A!OCQN zI?Dp zOvzV8TXW`#j`#5rqYBwrEmBd;<~fW&u_1tgiHv?otE7mU_AL5*FB$LCbd!OA?F?6w zv(T$0Sjwr(3>i5Xm?0pUV~?vV^4K5n1Jll5ylCg6n=re~3<0!Se5MH)eOF|Et|aDV zD-IKN@~Cxq)ecuhHA3UXntx>kcK&M+x|ZO~7EkdRin>rLPVt>%(R*F_n<$Z#3f;Iz~SLH8bd-8 zO1LG8o~l2^-epB?N1l7{8#6uwiS!;reKqKY#Osj7dn^@Q zH8M_1lbjsdASCil{|)-Fuib|}v|AP=hm*7CyjYeU;qJM%599bZ=~AvyxtviFX`=KX zuv-GzP9Kz$p)8;J>)%Nx;1QQi-#_tF)BT@6aSbq^eOTe zrs%c}$ZL{+)@bGj~A}t!PcVnd;Z6z%-2ObU!&6olDr| za~q#laa0&-=^FdEjYgwAR9#Po!#f(6BOYjZto7Oujfc>R<5Pu9g0w8o0z6j=3pi&% zfkNL-hQSbMt<&W;+-Lgikw@H7mtB|V?AJ z$*~)ONGKwrT9kTg7TG5^)$i}E_3_o$_Jd0sl8V?*h+D;DA{gvI;gNl0z3(75!s^BB zA+mUL8R=`i&3wESBs(~S@JH-E1&W=qkIgE^JQR1+b&?etqqY?F_!abf^r9x-19n~9 zsrMBAF+zv0ee-4OJ+2iX)kP_MRt(yh$B`0DRieH0?PEJk$C0eY>^;`vm)|*Vo_Df6 zEkF8ft$x+P;{)%S6JnAJH(6dKxSpAfS^;$Z{!r8cxgBz0m8mxMLj?nzYUJhzq@O3ZszBp_aB^P>Z^kirvi?=O)hP!wQtU z8@sF)-665>)mjx8pYCY-)CTJ}%TimCo#(Xpl1BgOYVuhgB{v3}b_EWx%g zHCmBez*;E-n~S&idLQtO2>ziPUw`?Am=IJiST7mlD0XmLrZA-Juf43aIxpdHpLQJV zOzyQUPto8vGFRjllb*P18&~U+9ZBZmwJLiMX(QejKecUC8jdO6uPn^8NxpaV&p%LK zZa(LSce7?~aktSI2y4ud2=OAbaJJ=Jo)jHfr*>cG_Q%LaWs{k)m=_v7qR&$~d<+A? zsc;+Jj)rk{J%mItuNsB4Zk`1h4icGEC`dQk=HZ=>u-=(wP?ZPIbi%v`E{URsCt1Z& zY@8mFY?~)8HSICEuUW%sx_TT2Tn{as#?Ubcri5U`1${Bgk}alKT}e<18;t`#tzZ`{ zJcx6udYs$p$&N${Jeo6Tg9vU?7RI^A%vsjxKA*YheKPp;zUP6`BF_XRCO-P*b!w4DU}Quq5|zSlkK`E#(7;|;3d)JMPj@ZGe9_D|6$GWSIpjtY#7yG~m`n1moEp_r1-8YMk+un%nB-Pj2|mom|)Iiy|SgPr`R z7hUpU1#y^tlw)K1eM2FhSH}_t_l%*rP*-<*E~DfyEQ*!M17u(v$&o)?>F+vYG+7t| zN*LAf)Ffw32D$8rR!G7(VK#miK5 z2O=@OER3G5`J+o5O4K&iLpGMkKV+6P3UXWSAzEN^yWYHZ1SqYmI*1;1xzW+Lnd1Op z^a9CWeXx;+vJq$y?a>Rs+h}kYynwqbd(0hQJd%O;1XIcy#lLv)8{8sqe++VeGarD4 z-2f*eP{LlF=V>>)@hE9%Xuww}40X0xo|n(fAXQ|cXwGsE-mhfnMEJZNg*7BLA}>Hi z(k&kWdgB+u=5bjk`PYj`Wp`2*lLjqR8G_f{W@L9(dXGgh3`H>I<#PHWCCuF%14kN$wTOZO@A_>gaL zd6@dc@*qXea+t6tA*Bg}tA|K?Sj2Hu6T}@1Ay5B8@Gi{Zhp`8mTN4^C<6bmT(J_)z zzQv58T(R4-Q0B*B8scJkXyLL=YuI?VZ=pdIt%y3sY1qy(^So*1U{JObj*SphB!VL@ z@8mfPr$&=SiXA}mFo;!GBc?ie@UENqVo99KqLJ$bzExwN!X!~S&UMdHL<~yZZW9;8 z4mhgO6b+KdN35&5{c+>or&x->iF%*8wQXatN z&_otsBk8dxeN0IP73YDzxwqFrnWMXe3#K6fZ^stksR$>P>|`I&wTwwt8lJ&u$pgjd zfx`8rw?(*MwP4vcT+o{eiKl!gv?XGkr?bY@0 zZb+j1>+$xLh%ToQfQ*~&2JJp&#OOpxGB5^g@osXC3338ESl$GK-u>vsI)V`cmD}s; z&_IyO$qzn(SZF%F0`NE+Z>&y+37n>4YSgd^A}t~m4QcRQ%zLlJgkd04QJD?N$-0uY(G z;Q=Z%k&$f>Mjz-51K%u}zy&+jG)qdYDrNM5k4O4y-(Uzf`FtL?Yp;IN(h z=fUrQo1~HtCH^#=;}IJuSSZ+ejFLzI%E&qb(It zM>fy<7i3zvcqrL=NxtBQ$<(}1B<`Sgb1~{~Uo5_IE)&pq%Gp^t^lSTyCZ^FdiR>@$ z3|g*i&XcKunvQ)fQvjiFeC-`xO%C-cb8Sz3Lj|V_7p3FnThJc} z@Y?^o&k|X|fq4iR$qHv#5We0O7Kru@DhXA}sI|_S;8_*tm4FNw_O5Xvr$fXrsc>F( zac71h>Wavae8H+aLy0wClRT5v?%iEGuFy8(VN)-whxbTQzO!32VWe@c{q7TqmBUT}Rd4XT;uu*)^ z^EP^RXx$1~c_9rKwyDYIdCJ?RWlXz}v&Px)d{SyzkGW(y>#_rpWQ9O`zLhnlEjx0y zGnoNiyvze=Z(tDhlL}~M2DzrdD9#VmnTI{_)dB^cl`(dC@@$hNv2@;;ET-=5$NVF` z^8tW*ZXeD4f{keOdlyBauGzzaNIY<0*9?Cxhvwdy^|0aOOV6^c+;_f-UoY=;#MV^ zdQUkIN^&V#ghZ`q@}WI1HIs#HX?%Dq$OZHEN+w}`3LYaM(Cq~TbS@1^bs5>^)xqK_ zi9G6P7#z7od15eGEIAg-i4#5q2&s)|4h8>KDaB0%4&=^e2>!Y#+d=3o4Fi;8Aym|QmE%K~v9pQU zD{{GRfD6vye~96Fxg|jA=Fy7+N>dcxoaG}2h=J1pYFcq7DN$SC`x*Dwl@fK7I#j|q zw7R&I8brR-U;Zwrv_RozMSKpg|BQ3ikiF^pMgy@DHRyP z!s`8C$W`SZ?nj3Z^WOYxVoG$gzgSa*!yS-~!}cw)s8eN>j(O;6c%SfTMLt1lU|PT(cjP}0@oiw-i6 zBUfN`Otko#k>;w9>0waz3Z~ftH1DEoRJ^&jqrlgee z0(EqOKfx{WjnE*_%iNtfmvp22a(H6hX#4TdUk? z0g^kXi#b3WPKAYORUZlCK_+&C-*}GOPTT~! zC~CS{FkRMjHcfNip~+?sGkw$Q5Q@O!hhMsysDFhx@}Q|nRBXVM*-~O78%m5f>0F|I zNq<{~AT=dg30x`*Rn4z^h_k!~OEWR^)-4OD8Nwwx2)qgTMxuO6CrK1m74I=JG7-XEF&;ViPS;E_2XmOJq?G2}87EM#nv5W3{yYx`Y>oVmST2~3TWL>8g<&JK>0`oziRTqAl=q_$ zxS;N`m)HjaF`)k^51+-QCT5b*;38)ubz#x0JJ8=dyIH`QcNDeTwZ9k=a$h&$$yTlr zzUt-Ngg&81A2LakaYg%km-&~>Wj-eiwVfz25oc{m0(S^YfdnD{7tZBs!oBsR5w+N8 z;zr_cQM1p@rMWifh&-V1U#6vR?L!g9>+`CO0%?fvxq3*TS9Vv3AJLE4jW=7M})Fk(z(LgZok_L_NeD9a8yMJP5B?xXa2w9nY{r6clZr>`< zi^5Bv1P&G}yTyH2%(52}A z|Ct@P9O`6s3j$9q{SP>T}4#(L-QoikYx-^>-r zaxgwT?p?kGR>|IlvOiBmi8Qj>HU(Onjxgl%PdVe4rC3BJhTJraoLx@cagRe<2xoVi zi1t=;Z9PWnl+18KoF#l;brz4Eh8_<2{c(q0?8h9TQt+s1zt{$x_;XJ6mbNw#G_^P$ zpjnh64nOHWVCs@-0JmzRseE!(Q^B>linQ3cjOa^YmW-b92h6Earv_$LF(Kw!Lu#xq z!7vk^C|ZfFhm2q&twx$)bej$|j%9;P+s6XT;hv_Sn?vZtZJRu zv{bpSo^}I(_f1tC}J` zCt(^1sE&|zY8WSQ8MzLlj(EnJ=Z%S|dZi4;cqUCKG*6YWGkiNP~{_=`x zzy~@MOf2y!;e?8}yHSe6q7v|+#BZhYo4QhF{mN(sTJB&~YC7Ki&o4#s{_U*U$@YL2Er$Q_KCV7BiW;^t&wZXo> z77Wma-d_P^%elV?hGy|1wId-vl&pGLj7@4qQcRITt)K9TRrjLYn@`K6q-}w8Ux^(G zpAc|5Wd)a=fj~mS?CHN>RJiv2Vm>csGF&+}BV7u^qr%X6)K*VeG)BCgIP2}!67!~` z3nU+5+ldD+#m2fz*NFQ(@*F9le#68+*m2Q{FtaE4^c(_a;y8FI$CQ_|{?%1&7u_kg z6yl6gwt{pn^~>n&fEon2GVrGid&cP0Bi<9a>UZ=5Z4E%pZE}sZ(-0X z-rph`gHD7*TqX{_4%qjN)U%pJgPtHoMGKyTiBK8V!EG|@_v%)~V1rTU?~2lp0kGT6LOkmc$$O!#FfaF5!VrzUF%VOmdeoZ{9sNyOEvIOl>H#e7{ZXsWSs85$*1Yvdf# zkuoHUelxV>OSGozv#pT97`9~0e+)qZ_Dufk#8or&{3l3iQy&8=54yq))FW#U3+$U6 zVDprh-V-}OE@zYGB%PA(mYgD1^v7`SX}#UP?amn^@H{xRN2zjHK>(opbvl*&XVE{8t7hO@P5CJ=lVk0@5rEW}TRU z?dzA!jc`FCg^|DJn4?Tsa4Sx7HA*0G+&|wBadJWxu|6Et1?a+fwq9gT7p8Wru7>8p z6aN8FkEm@uJjs(t|kTU#f+Q>Y#+LOoU82NKxkR?A*MUVZ^_(?z)?|-_!(WZTkF3z<&Y`6-_RgJc`RtfG)}}E3(k6TO;F(LyJRAMy z9YS7rki;?A4l(F(+%AP~(u+bFYqA)!yQ8iZ#Ff*W`vgP=_K|yF)+J`5ou-anHq%$+ z1#DM-ys%d-qgjKIWptn9MwTJJm4fD*OZo$9OcpOO^5HnPpE=qNdr_I?Ca8XdT+qWg zoCYDp_U_1x9eX*0ku(!iCtYKMcFoWM)_YoFS#)G8;KRc4+w0W7X_S?hwA#LMFM7Ff z5}}YgMZI;^bMI}SgoqrjCPwUnZ5=m>&YuJRL+UkHG<&m_rozTy?8BcZR8=-a^i4)3e+{zC8tQ%J1X5C~b zLd|IwZ7^7+E1!oh*}Q;i(0L0OEqw&V(ZOdrI80{gRJZpLt>IN0>tFz6aJv~BZKg+i zWK^tD=5R%v#Wyw)(BG=1bMX^mG)F}@6**flw%gMNCwZjkcV0#E1$@#6@5drR9;rZl z!{GIQg;(hEmarvT;37L%7-?Gq)>R00yQHJ*#=L1Fux8*`$|z|iye(gnT?8XONTM-8 zS{%z9_%`EEWWvGatbO&;e9{?GIMW)ca2}?Xt6y)E$}YUv^Yt|vND>>GonTY%#^iT!-}20odQ{`tm+G7 z>>e(l#&Gjct-u(%50A(uTFoPjJj~G-wQixAq4(LWkMjjX#%p{43 zzya(q&$GSF6_GE%(_Bk9_>Y>ZjFflLTL75cpyDMhjpBJ(q{}I-^_K4*%bRDks7G==p?lM{qj8T%5gJ*Cb!Yya4W1}W)(a;Zg<_(p^~w4U_b}8N*_8Jk{#piDZVR&D zvU9#XjelO~^8TT8keu?G&FHCc4BH;NK*IUfhc<~=90WAuD{9}bs?aRp1`%jzlKqFLs|=CehAFm%&n z-AmzCwKy|>q1df-hKfugFp{WpbsVyF_zNB^cte4_@3{?g{BN^shVRwVS?Rytv^v39 z|NLZ zoHmhHGvaeQM62t|dvZe;{`^ty-0xF(zPBRISt5oSrU-(v8?bT%=Ai7Omz=p7`u}>d z2G1qCM6snJ0;EGTd_@enNaHAEn6X_3V~TPRDGr5=6hD-8N%V=yd*R3Cy{XGk^kQ~- z!an`U3c~M&h(Vf_IP7ye!JB|kXSTHB(x5N0@E>%f8C?i|7mKs{?3QfN@s7Vv(Lf<39$`3+nc(c>SU z5)F~-%LjT`{A$&w<*HAsR1d1@dND=rDA&T>p??cxyvJ}H*aDLSz}FG~ZWR4e|Kosl zYt2T$5nf6<(1Lqn>zs1>kdbf2jjIeUp2PU9Om8U;gktoG7ZKH(JN+Y3k%|CF_ciGP z8hH%lpT^~60cU8W#{ra2JPmvJlP4XOa-Tb~I&DD+dIPBrH!+ol)xxpyT1OsPwY@~t z+Df^c>bKN0-3>_xpPg({sD;ytcZPc8Nx(E;oH~TIS|V6mm!J~VkjE32TZSr9bGgI& zBdyAD9g?TNeYm^v$e$d^_eQ-)T46qlW(LhYksdwTjbq83h>WAvDMIh45_D}|KjLf# zz}y`*rxY*7x}L#}JPPn@PubK%08HNz#F6U5XUsecVxOdA2hNJrmh>qMNk!IYOLZod zmB!@Zx6`t$P3Gw7-W!ZN-y{gyqv-*gE}T^~|If!3b;G#=|IHg5U}_@lyq%VYTiK&4 zyne@%nG!yq){VkUL}@d_b*H6n3wSnxea20-rUiFzRmuh&WE#WOh_z5-z!Xi+EoLPz z3`UzWt#5rH|DziPtLw12Sdhkc6C$x}h0=7<#HI-}y1VKZhO2POiO+u~bs+8_$qCIq z23g`w-+3HD;r7qT6Ux@n*x0zQvv#wuu)bDY?+n+%Rv=Kiv%=$L4D+R9>4LpQ*nva5 zKT6UFJv>l}E>Y$PiVo?&KPVjA<|T*zi*xpRDb}^v>(za~-(yB;Riu3!>iueylHj9+ z4B`9v4B8wovkzc-A9hc+sh1J1iZ$>byenZ@8Eh;sf9dK(k*~374Um^7S!s5y3GWX4 zE)h|qZ7)Puf@_&dXNy%lVf9U3e9A{ZrrAsIYU=7fdlx_P6B=_Tei^XsavYheWegdt zc?n)IoIgomDTV*L50P@{SW3r{-ox!@d)AI{;!Gf}oSrPYd%GvG7O#~g(bA*AOmwSa z(Q;NDpeB@FlG!3GB7LQVyrz@pBOuc8f=_xBIO$62g+hQY{g3wuoG)yUCJuG=Atyq5 z$_B6pt%5oc8?zJ!9se~(l{VuJ^UypnJz0c|V_2D2SMIvJ8v){I(fzIQ2p2i1@yd4> z|1$BtxfI%GTFhd&{@R0bDvMg*xdZ*}RW?bZXrDxDKF82!4{FNCW(>ET0oc+=ZQ*NL z)k&_L26p?9=RDd`v|{3|{M@DkwA|#a+N&*b$}=j&{|&6}x%t-#%3$2Qg14D`xo)SYGWq&Kw{!CK+rqzs1^(jf-^V9|@pji=r}+QI zN4T!-L*Gr5V(A+QAcDZ8c!&JuJ*uUn01-ve9@j}Qx>m(PF0M{o7JkRw@aHOO;gVz~ z$T;6O9tE>J=pRR4U6?_mFTKtBUrt+iMwPyt+aD8O-)twL`ahBRTxA#33PuYK;}aS{ z4s?@u=g5MHdx@ZS>~%;4MKRNIR~+lGTr_zbRqr3RM**uSFQ27Q3;7f$=@j$~Q>=7p ziq;{@$6Z(bHgPxIc1to3V?ULp&1Hq(tQ`|KaLF}7Y3fjTnIZnq=iUCa1d4k6;>6|g zM;{d7q|#F5p^P;3IZ|*IpM96<;CvL<|tfil;9U5;h^4aOe99*FHWq!`06Yb7`ZemFYZ;YvM%#c+|*Ej^2si72r%3 zGO-mDeM#_YK7~`{;L`Da!*O=yJ0ksl^ixab(6NKX#*ux4hZ`*S$Wzf|C3ko0sphq{ zU}y58QEb+qIgXl*Vv4_jzVTk|-mk@;MGv-BwTUJi+pJx!#5bQ|c18x7Z{Fl;48OF1 zM=Cf{)1FzoCIZxoEF6nRsXic-nx5^`FJ8*&lJv15c~hppoy$6*@vqmCEvvF|=kHX`TF85_1#ShnqZ5xs z{K1TQ9B*LlG%7yh(>h_jB!1j{9v>f{cqk*X06u*SVTJLjG4q^QIfaIZR*W7y$WF#- z_Be#;Mgvg2226N0$A&}qZy={t{yFF}e!35#sw9lo(c~jGlOpmDnu?iMi9SRfy#q0A z=*V70n>-6OAt#!QSAoWhVag!)2G$C^r7`i{{q}%%(EzU;6IKeS!KKGB{I~f7!_DWv z*y8`Pk;Azso+I5D#{bg!u%1t+@WHmtq@Q_@j424+BCOzX8u8Wu6ew2P@n4gv9NO`Z zAFra*8{M4}*%z=ba4L)Ue;#w_McSdSe}lbCQY-fvp&sX@9UQHnDne5jmx4Yhr1RuA zXOO0HkbyMfyj7i}ZI6ch={Kh{M?MNm#TB1#7JK*X)K{*-WGh|ovlguHj{nG=QhIU@ z9%+prbE)MrfkC-rjI$z47>^D0G_7y7Kxr0{P(gZO0mTZfFtrB_m^@f^32~?DZWD9=deA3M>geevzDKbJBY?K3Yt6`b?VsHUbP_rLl>SRejf$! zk$ikGsZ32d6(bw|K9PTl$xEbuBow6Qx>(VBBf~o)21h|yGA9A6RnMu3xQs85r~Yn@ z4q{kRTEYRXSCMP~s>~EMM^FZ^lMN$az9KsfAJuNlK zmU_n#k+q_A79m}*?CT{}`hJw)xUFC%Ew-$R^`LAOEzuQ7!99>E<{)x&fO;2U@Bi?=H%J=9g;hsXzA`ec6Qa|Gh71+g5f;vrQNbuVFnNfbt z%AW}o4RUd5(|i~iAaLUSlOx?YKcq9zC(A))Sh5DGaft?U?=)KYtM257%zX^z@C`cI zFi~hJHIkGB;*?Irxko<`5`D2&cat>TGo)1p7b-xBAuhCiMm@yaOT|o!RN6tUQqPax zd4S-Mh(mGV;a7L&@s1Pq;rjBeo0!gLP;pv}&U!tOHC^7wUOKEk(HiBp!Otrz;DL|CJvi62?N8gMGvB? zqP%V=><)=`+o@VMT}yTK`vl|s7VNhrH8`=frHwx;PeMJ9)S;c$BD^(wqv24Vb_14h zcwHTEoV(yVqR}TJ3eMTx%{GTRpl*6Rk$T8gTil!;WyN)`BZUt|qK?5U3ml*lYJ$im z@A*Ps<&JW4_amqCQm>IkarPZ#Ff1&a@_fM0yq+}H{UuW1Z|r35mk7-;rOCoCFgp4A zs#|;qjM*1&N;D~q?7kb>Nm1_Tcfj^qaeyMD0>8q^K%X!U%?+uRRU##QD3!7}tx0+AoEruvT{bkl+}6GlIE7wUXcN2;Hdo(K<+;n$cx&YH zL~tg0l4tecQWF~wz9Q$a9WL1z+pS{Gx1q=j3uvct3h8Kk4VM9#M-;IG*$NK!wa(u! zt_Y6QK@xgNdjeH(?YY0|$s-!7WDC?YOg4{X49-7ZuTY56iaCmtilTl<6WRxar22n2 zO-m6#8i6 zLXgM9gl>K2ex^e~o{wPakFB&BHPRFEn&~7R=GGtJc?VqjR|*uUN&@Sw>i}@u0s>Z~ z6PonL^*fBSeg*5LD)8$9hDINI^d>?WluXjF@b~jYq0nB-r$_B2^H0fzlC|Z}3W;CG zd@vmRcXjZ=Y<$kT`!{_dZ#yHTo3MtJAnX&|mPv5a=%bC?D0{uV20ClQnsAo(@?u^4 zB^6{aEN71o*o^xM_?YB=r8tZA^Up?ah1?p|T(0H3rNU~TWiG)FzO+Lkc?9~gw7GkS3c z!!=>glf3y*%BZf^t%w=)Cgvbx>#8{NJFi&PEVdr`k6z8Hv3O9 zedTj+RJ5rXEc%LJWEO+j0rS{+0Yxkhdfh4f6=rFwld;-aHJw7kEpA;EV< zOMVG`RDbC_W9J!+NJ^>r#fToCt5*FFR0@Y?&2OIf_?X6-0tH4PpDC=H9ny+D zxJ=BXU{Aa5$%=JAE7ZstIk>;3$mlk6rwgF*-jsXEsW5X1?Rth~86bQf+|VHw^d!c! z&Efj$8(UVzsDu5Qy&;xmF5?VC5{b9RO!z+Efx#W%>e#VW6mwmhkKqQdf4AO0&j#G# zi0-?eUtbAp>Zne%tT3st1>eOJIatPyn(2&i&&vKZR4shgU~AX{6UhSKkpuk`m-|Rc zBaHs8paq(o|A|ofLY7mZkgM&2p_UB@P*=$arM2oRvl0k`R}?LszAl^djok4lawV#J zDMt-77drTKqcAw?i*efFx=8unbYaH4wsMn-QLe|T{Ii5>n7f~ug?|+=c`3UZ8E@eH z{{T~|fF6O0ofpjYgTo=8@kz@!V+h0ALH+bIw)VM$o+AL=K%|b{lS(dI>eKEz#WU@3 zLi2JHxAFFNmK~R0B}xAOKJXxxi92i!j5$2J6FL8_{HCK+QC+T#WJd9uk{8T_uGJ>? zp1MQX*35xyHOpbWvNzG^M{34bA6Mm0EhJFtaRdQ8fhy<#N-_he_p5X>&npUm*p;Uc zS2Yq{aE^8|urJ4uNF4wOI!S)=aeU_GPu-EMW{?qewU!7$Vz%WOzP6lwtC(~ z-L(hs+kP>SiOm4_`XzKhju+m2S2xilqzPfivZDDb4ws~#fD0Cp;_hP79EQeziHvjanJ z>m=AcqX%909I!@@0srrQ&~-ki9SLC)CC6k$m*kB0eKxgUv$s-OgzEdvKlead4B*<^ zP6TDq++0=ZyUYl(b3KN&b)Be55!0@)adTjO>(XWjJWpo~j*Y3gW8a@57##Tg2w34E z_z`|F&efm|eiZupZlL9FNV@cE3=zIqhzsCi`{TU`;kqBdJ+cK~J{w8lQRF!B0HZ@A zwW`H`N6u>FO&L~*eLoki=MtmikW5kxSxOu)l4OaVYF2qSi{W>Pg=twtSqQu;#966= z5_idk3G}4o4KXmbAV?85gydm*H^Hj>M+I0omfYg}NG8Num`ny*23zr0L5AGWBx;n5b$f-TRzEmafg-f6A2ntU zz|sbo$J_wia&;R%&ikHQityuu2gHNE3j8a~k-|5ImSI?vIvxbc(x%4W!6@J%rIr~NW)@v-B+zi)9QSAS5oQNb%ILG{2uH(lTZwWBROZ?V7G1KD? z^?0uLD^ESUU&T72_aq7Ru`K-PM;J>4|0^^w$UcLIenPHnD~dPNHghOflDoBU;@at- z{x3m^^wIxQwDO%)JrzOx3d)%h+fQ0*$!|4#7rW|Q{YC&etn*5vl7*jY>`(X-d2(X^ zFap1;AOV?t{eKy3WnJPw@!Xi+PQ>T!+yAp_8M*mlnlNRRT%px((M!D~Qm9j}TnFK$ z1F1|m{2#Vb@5u~}tBbO;++LU3uz7y)WA0m^mlSoiZgYV^pZUa{Q6;=hZW)T=_Wh-r zB6r*&rIH6O*@%?K9eR?`H4&4YD!nktVx$q?PkfebJS?YFdJctIBelQLAKW|!^^d}H zhfc26W&8H%o@74z3(szPz2tWUMhk%Qgc>I~LqC~Kn+-fl$8^*?@rb`!AY`tfGWbCa z4STrl6_qeO5(&XJntpQzxtQh!CeXtMcqLt<{PI@7qKT^)-%cCC*y8_b?#rW^I@k4M zt$M1p)*%i!aOyxA1VjZKDp(b*XpkvPqOl+-1ZaaZlT>Sq2+}H`fQnUt5&{Sa1eKtc zK}H1x1fsS+(k}AIh&H<=3P*kaJB}^rj*^Vi26lH5uUWhTpg8 z&b|j8_z1y_=WjzFPz5=0!}k+S0?%YZXTkeIA+mND!(9Lnci7A-WdvfAqwZmJ8aWZ1}uu(eRoJV7|*o@CX}xkzWar zsJn6W@K>gMZbQMfnrV+?phG%Ag_2zk1{(i?GXUxf_}PJ;kQqx;y^12;T5=-Gp8T}> zlcUfH2u}9F>J;G;!D07e)4xaU#pw9|zdm+}Y%D>!Xq}*!CbXm@O&;o{b*Hvi**es~ zu#))#&cRU0e4PP9#Y@A=C29#te&n@U^NJ|50TwNk{<0T2jlTruqHjn@n7N%Ta$Shb zA4?bEX9r6&U8{sGUFb%FySXb&Brgkvj!qUICt><>CX#eR|Nentti`cz%bG;$PpQVv zU%=p%6%m}mGXrMY3D3yC^qy8CyjGcI7~#`}VEzT}*T9W7q(u+71tH|a{f_XcAEb$! z$fRWDhN^R`J?p%ili_R{)Y19Iwd3SaL?{t*!Q_w42;-XFQID-@9Q6ZG=Az|ByY&1v zgWMZ#Fr3xPgRV)t)pT+76Mj|!WT8{p+(T8jj*O{XnBaOB023fXY*Tg;+G4<`m0HCL z6G>y{)LrnKsE*5dV%a5*4qf4gz0N}ShiBt{OkaPw^T-s|5z{taN$)Mb1^M+6F{4YM zRIKm}l&%{G9%EPBU@?kZ{UmF1_sqfS5(nHyU8h|V@XE=-_fXHpCc~anacKN=f$`0F9ukdZ@0IQZ6PNt>9=*+gNPji0fztd55 z)b7^hs;jGCkc0z;0Ua4MZ$o%4+*xeevw{npp1i^mQ{8eV<1tVp)mdzJeo}0meONuT z9rB{s7sVdIi7h|+)rK&L^3Ju8J$8(dxVhdC#&@R{{X>^C(MH#ahxO$m7WJ-WHKZ2= zMd5(`D}JL~8J*>Icc&+z^K9@y45R9xFsaZ-FMq^f1nYdz3WWZ+)M9Y1ie_N;u@TJG z4?$#A7fAYreyR5HX_C}Et4Zb&{&^Slj|gQnx%{p>yp5W;uvyE)kGHKB%^f?{;r zc;JVGhq^jmQtjd|Co~`Y)SN_wwEl63s$kO(?bePjoFMe-eil)^qcoD+pu?@l0JVG4 zjRtNez~1AKHq9k;q!(!iGr-(GcW!@~b;s8u?a50>x-Wfy*-iZ>cHgwJC)Ap(d~HJ_ zEl7hpFl6R&zg37uMe^G}&uKs*5s1UG=g`AGboO(+mt_>WEo>>;@JdhkdZV5dzbDr` zTUV;iadO|Wo=Xzt&?IEpH?{Z7~ShU-Q+i$k}7(%=2@qoJ+m&N&{-`QH(C? zMyL&eHS(JeDVoji!zB*60s9fSK{5qGZ`J^k|8N5S&iQ{#0*eFBmNJ{ojxVBZtWvvs z;XA1&80Z;r?AJY(K>u~@jac(qdABI|nS`-go#LXdRSXXB_ZWcrI(qT=GWB%9t&cv> z#cq5qV@J+{k`p)Zp=FSafa;c=KRqEu(#n^p(>LcKCn7>=zHVvimcPZwf=z(=RLCWTs++ zCCwDmD6!JFbDjz1xin|YBf*j3>%vVH3|~oaRUN1KhU2I2Sb4@n4Kw}!pW+(-kvfpL z(J6XFI0OTYUx#Pa09)Qs6c5+R+#5Z!dSNo2K&{iqFb_hxH<<(is4ka%0!e8v$w-f5 z>2&)OJJZ8#ybrRp0f^4Vqnoe^1yar|Lv2GHI9@yZmHF8^Z}1I{U`9d+P$JPFm856u z;GJIG-@NHyAP$->)`9uaCe1n6dK_z~<)6Qx6OcnbfXEr3xR23^0SE73UDsR}G<7^V z9E5J%Q-Kz>DFiGby*UpW?P&n-IzW%-WAsnN#qh6yBJ=CH_9zbnI@^o2^5ThYZ>Vp# zpAkf|5UQEqaI(&D88Q!o0eZwe$4Yt}b8Q7GmS17`NUnBo!}($`)P zyo4KOvxn#{Av&yJQWP>@myKdMQQ_fm4CSlzL4h`b4Ck#7w53;}w5NXa;Q)z1ipjJ@ z7?IZ*UDnFy?*tDm?ih70>NhsNPmk-{T!L_!o4wV{tbE(^4_H1Y-s&dKKb)*(e>$At zS2U(o`%C*9fz*d-|Kel(}c*;m(dRB z&Z>mawExH| zHS1C758}QBRDR6_4s30GxhM`Sovz7qYh{X%BG5PmvYB3}Nyx4Y!R08{i#wzMWWJnS zp}iz2)UrqIkU|9k^NH>HlRC;_G~cMkeobyHK2?C#l!|JmMTQ^C{5=`4r@7;&7COUs ze)6`_UK!B>Tq`@awH3=@mzSRIwkA{q$LzJN8y0`Zt^7xZTkXPSds-}$cWue?bP7W9 za#Pvas0kMc3%z$uljVQ)oi@$Ml>|NS6Tjui+2b6K7l}3&^U=K6zD)F zb~=n>EuQuk=DIQY-|iY)u;aNd-ykHqo6cVg0^aVO&hl58_x1_hpG}pzrKRO1bqnON zgir(E&Xf2YIJ3KAy~|QS+GsKFsr1ZzPq!GHvBQ0P&j9(f)U5!kqi5?e9>(G%?Wr`J zJ9I~P&ur($5N67Vg@HUUJ&!xZaVT}Tg*qVO*PZpVi;R}8ux1qz!hwt(U0MVBP!o27kjNIwrN57g z;JOz54x_iiwqHothEVwis#^%*D@Q>X+@0xCsR9~dK{Dh1_<1KIct$Pf>529~Mx9G) zLjCngw1J-QeY2i$o+7-!q*!EJMTnYpj+|QpnHTA{Xsfa?SvpUXnhDiU-a^pVVM8V* z!lf?w)^tb@Mnzl~w1zo`#Ab-8Uqf^Aa!9>5i~+CI6HdISj2>J}_p=}S+(pC+(tg%^ zbDZC&ME9Sq?<)`Sn`8)kn7(%jZFjx-`jV6pJI1n1>$XBx-_ix9LSGJnCK1ODv{zCl z9$AbSe1zsHK~Vyn5>X|5;KNQ<*U-2K)me&LZR$vG5ce_QHk@V#<;#6Ed&D2GCe6W> znL4Z2WdwMdncPWF`d1a&t5I3_m@gSNaS$R*Su{_P>y=$sR#%UC=PE@RR`32t#Ojw8 zCN)A&uO!xMk$qOGmoG{GffI2<&VqPhLsS_E(a2Jwe?xC)^2aosfBunPc9TQdHy|E)~;oD(q22%W(ui zKKX1_pL|mKbL+yD%|yE!`wJ6DS>RlDCZZZ_4KI7ehI2wSodL4g7+;RWz9n?!Mzvgk zmh+LDlSbGA*3ONMa)qt|@0X6S)~*r$GKQ)x*m$@wg5AsQ4#)muK~x1WR4giv?Hcnv7}qZJkn9m;!C*(dpw#^MTAPGd|*&Q%jS2U0xXpsqUj0wzvIKW7rs zf$BA8a~M$C&nZJYmsA&&X(_+x;64_nrgr6-X)WW>;3ZUM4Pzat%=X^*he9!v`W!ep z;{+9Chbh1EUBp2}&%sT_imb2(K!)4bhcVH%(HRzx|NIZAkIWLf% z?r{xsM}U-+eA2%mpKWhsH&Lw}!Qc4I0Um1)Z=L{Ihq`wc;cmB38BhAe;B-3h+y+}$ zmjqQ-K4sEX145I1aBd#mHkT{|s&i~BEVv^Qd>}%x&XxezvCH&jo)UE($LPTO=5Yb! zR_cGY!|)i9o!n?)u#d$UD{hAQN5fgFMz#A}=`fEO*vACGCF0g}Q63`qi4WoxDs>*= z=!^yp-fQDuHZjE@-K%i{5D$y0_^S^IR&4JAc}xc-SL3HTbO< zwZmfeCy*!B;~82ke7z3>b6{BOg#E9v1QnnRm`n?V3>qzsS8BA>y--*Xp1cME{LfIg zSv~37gHGFPMU>Klmt^dA>2r-#x$LTR6aI{~1h;*5#kESEv`4QBZc*v?6%Ip-@t~G~ z^eN2@72iQ6vgvGS{!V*rb^tnA#TNaw_b!R;;-i#Z94d7AC`}y&FnyV-4~ctsF0)<5 z)#LJ<(fMEqru#yFHCBEfpr@N%Hw0{7)(;hX{`qt1+Dm4jK6P0NBPFNX$zl{V#jt}- zTNHb9)=L6(OQH=8nKpfFHM37(n!(x#Qlshbt%d)tU!8xT1$|l&fpiz2Q=3en*WN`W zm?HaSu)KfhZq9!;q-7xmB(<7$nI1ElVEd8e%?*Ym#Q;fUuX-u7hp z;eWpb3YiSu)~Rnk=a9UC(8j3?w)x*3zVhg8gUohp9;>3)*6MhC;9ub=wVayIVVQab zMUDPV{1MCej=xI(^0T9@jJ89pMi#v_yUd}m^azNOSe?1PE|0^zXgN*aEN_SHKtR-K zUA8Z$MD=>p5|1LWBp^a!b^W^GfAJRSXrmDtN>zy0ukak~e?42%LvA;|a~50QcWmH~ z{8VxCH+iMrmeN?eqe@|MP-+cYqw&R8W{>S}yo|rwU=rbS_8*>3Gt(lqGc#1TjHoWe!7|5o!4$Mcr z_u>rL0Jz-GAbOC9qTu5Zh6nv%`&GdyFVV+a(Mrrf?x6tsUA+Wrqmt3enP}A3f>?6B zUV3iD^2jkd8a~p6(C{8brqUW(cL=w~W?KN~D!VjT{AHzNQ&3c{C|+)t6%@5lW_ACx z6TTm-)F3z4YKRRIv-O8M~3zL@t$nD!b z$-dRL&QNaV0q`x0oay?2|LvUpm%8` zBc9f7E`{h47U>C~F8SeJ@{;!rl1=)VqllMdkO}7DF$MTIcN7KK3UU)&f7jd7a?gI( zJm9QGS?=^^hf{cGmZ z3;ufP3vubpTi(C)>1=JUe@&KlP8xL5kM#|g(22vKFZ@11RWHn6!@{y%@9jz$T9VHvd zQ5X~!h~uw2hU<*{G}HV!A46zl@E+g7f~hN|K~XL1q@$G=VE`S@zbbi5*KrxQd*sg6-@$#tMFl4Fil7i9W&iZM6bQ<-vEij+K;Y+Sqmk31J=l8>#$uhVh76BK@mC&?F-KV8HZ*qxuPYq3@~{G&}uTMHXKGV?zRq9DBjLh z)2S)=2*ySZ`kLp_AiDOS45G!=T`_@l58XRxs5N3oFqBy>nIQT#9i!d|5(>TAa|6O` z*MobDA1_aGRTPkZ5nQJD)z?1YVPkW@pa0n}OFyN-1LWhB2bWA~aw!_YSw!s+>Ti6O z?vV)M-X{H=X}rF=8W{j*Kk{8t(KB)x_xYRQ#5{}O2Q@|S4fpdYN!pDIJc|gc zF>MB?L}LCV;yoje&)$$xM3rFVaAxjWVv$UXZQ++5_;aqFPf0Eu`d)Ulwg4;6X2(~$ z%#;|MPm9f_h0JC9lrY0-{pAbQsh-EVTpNQV*Uf;b5{g$gE!SG!6kX`IrI+G~06*Gv zCLce|Mu-B=GV{xhEY;qMk+EOK^!*Q!Q)D@~m(-G8;oQ`s?JvL5$0$E?fEJc_6SeK_ zM2$bH<1e13Ulk%|ucIp%8`&A@_I92I&SAEM({pXi_#`5cufB&OO0N!>c8GPmf^6_u zCyo<^f6*~@ZaCFLGhg1Z3=6VHXHb~4%)v@3@J4fC9#PR`%KeHy-z`^nABDU+X0%lV zWwwyE-0!1%GXkbhYV++}pU-KWnHGdg3iG0sSbu?sdQz+Bu35|JbBphx&uw_LB5%)@ z!MP2worBA_ zzk6-->J!_H&eE1&gT6uvUMTt+w8i+ryX$06}=EF2dlM<`j1_dmxRdV zrTWl9N#hK<;_cz(0XWiQk9$hHRiJt84%y#{H?O?W*2+_OC1F```5pE3Rr_7DJ?>s< zpV*+H!xu`d-YX+$4^TVBdHb~>1JzPoS{p}qLii@AY;3Keuk!9j_&Z$ z1JPDC)j=xAA*jbb;)zC=)-CM_M0dwP!IedFP*wg=bZGE%iWw1I2V zrs(-!mq}D4&?0G{&zUCBaAW3ayquPOswimI#v2qfe=slVW=yUI0@jBphzt);EK4JZ&c)MS%PYLR#Kr1)v|uO8CA>s#VW_5 z2Cbw_m3~+zyE@-lZr9N{I7#0(aral3FRUfP`3k6Nc{SL?sjxx#z}bA9VqD5EWMC=m zMHw@dtfjE9#TJy6#aK>K_aOIkh2zHnBIsy}gEpi`T^&p;l7k0r`cTFq4v3>79LL>v@M|e#v6V zy|Z@~`j(30_uAv%5yy+KXubN#RH}v3(4K;C7D4wxXjv}=gwu%iY=C|tc$067MY^ja zOx)$EPR~7GqnZkzwW#lwbI6MB04j{tTwBC+cx(rD)jZ%qjA59Zw`3Teic=*Zmsw6} zF>6vPYmDch9eLo`bk$1Y8{FBDCR!}3o{>a1k(;>mReI2%Rlg2j3qO+8nJWqSS~XJ! z5_=tElf&BgnaGtUJ@L-#ifPk%X&Z|vUKQMG_W(ou=!|>68xA%YdfN8%!iAkt-c5ib zrJdDJU+e*K@Wx^QQBMeqymD^E-fo-PtkA$!dC%cOCZv&)D_e|qwYpMDcFG0nW4A3CKbydrROJdgJ(v*IYa zC%;EaoB5{Fc6QCFs|6)HA|%z8?VEf#yvmx<#go3fR|rh&L^y?|%Md~phzr!l`ZF1v zG{f?M@E>fxp2Br{Mri92Bvm_rk2?zPE5;W~(J`veYqQmZXJ(4BVW9HZtw0u?TG+Sn zqCL4dshOWQ4WqA3XV;d>8daV_ao{2kgW{H1i=v(6k^K5_!Is0fayI#dzn)+D$S0hA zh`+fbPqcJU@z2J>u9#kjYI_<>9eEph2|Q_JgJNO}|H#*YD_br>2d0@e?htk4fNL5y z@Z{#AE!XrY;N5azKZy5Z2!)pb&YHkfOViJkPVd90i^*D%_HjLN@{-Olz}t}Tb!U=dpCVQ6waBXRY#Chx>U7t= z$*Xj7pW`5eJ=YQI-<-1HOPyTNB=&0QtMsb{B7BObO6@1jEk72#w8aQuuDij?HSja% zn7vyr_D}k)?-IS)xI=FKu|PvN@6$!TiGKJWxl(AEcg(#>t4n;stF%30*77tSh{GZs z0&0^tyikmq9{Hh$UMu{{^-muye|CAbSA!eI=XCdj=rU!bnSd>*AXLr5m0d-tt+iY3 z2hQ_gSf$p@j{*VF<^$lbQXO&RxNW@p?xAb7#I^S0TDecfujeOtml%ghtRe*(MtG0f z)*4mABYx4L!c_%{mdV;jj&D{|-;IGS&r2M-#V~Wrr>F7Pcv9n^-~F}ttu;!_h5j(z zBLFcXYr#xo*`Gy;8tZ_HR!T%4^Q@w?-`D<2rjj=W}-K~o7DBF70tKm^5o(@~+oA^p*CH(WXY;lll9C9KI{1rgg*a(a!Z4JZdQ-5a9l4H08j@!3@&r{eh@quH6F z#lMp*1$54)kSZX|s%%;?IXwEj&SD_;8K~_^(x&MgmmG#=Gvd$J*qP>7c;37=uvN_o z?|bhxs~M=(w8=M2)*)h2*PwtGX6~4xKYC)Oo1_ZiUwP1^HIO3=^Rn(k+(H_=Rg!w6}w#NjYlG$X; zVca7P%i6n@w_0(TCRg{SXBFI_-L2T1kba zXYZuSj@s^uOJ-Y3BNzFO9o=K#(q_*?wMZ9YFW{Hag?Pu%g(Qh}cgXDod5KFaYa+u@ zJ2WB;IEYT-0KhPwPV*&cnajgFfb?{lN~1E3%(CIXshqSgIlJ3V-UGyOIvrAMrzqPe znF!^9R;_hnimW@k-B+7v70a6~s3d|F@?=HbP6cVtRJru~@N|@Gbg>CErJ={ffBbyH zoB5osS?*;6rF)o5E~^O-YTZDW)`K-qEDJBMX^CB`7+TEsJ5)=V#Vi+#nPG#9Z{laz zlDB@c^zl!cu>#VM-3dzmp)FHB4W5=s z#}>$oBcFAzkNM);${KuDa=QU>QZqkPKiVmejsJ8tq;2H!g*`iWwSAMsHx>7+-zCY| zKJ>9><>0}wGlL{n`lYWGqtrGfY3EH$Yx46guL=AdRl~qE{bv5yUyzwrtozl5x0MX5 zbYtidoq*KWnIuSdk$46<(iNJHI(|{yj72nQ_cG@yS!xz1Fp^bzS$%yQca)Cj?GF zAP^oygIneh$T2YpO)`<^BHm8&?7XJ>Y8hPQ55KF(j6<4SkCJ*E5A?hDK|dhzmu{>z6`kKX3^?Utc*MfR!R@1jrNI{o{p zTOY5VxrP4wU%u0~@7_IqThSo-@{Lc|PaQWZJlL6ACot)=;c$%nuN{W_MjAsqkt_{R0{ssDU@ zl6d_3e?CGqF0rrv*YW?sm!ITJHhAF%$mK;&!LyHgHz+opt+EZDZ^D|U++|M6zPoPw z=+p0mVe_=Yjk)#6<~@?`LC#xh5T&v_^Z40Ih_J<|;kC|#eG$~ok2qb2p5pLzq-{y~ z`7ap7Aj-Hus-LhhmDRaN6d_Jx7x10?K}j$kcl7`yE)VJ0oaKb9ba>cxlo+ud=4|U# znlYe78?v}$l51JemgyY1gI;T;X7WY;h#~fgC&_m1PM`*GX1b0&R7{~hmL!ka{%ero z7RIyWkV`BGnGc2G9Yf@*Q5d8xV)S-3wYQyywa>KoZ$S^M&ZGxK((;I+2iy9cgWiq2 zt6J!!NmwWU5PEl`S9kyY3Wm7`8&<*BY`tIcnIZ)yK3?^4wx9o*7?O?(C(022IVmrD z0PfwW9NihoqB_e9`o6nC4?Qbsxu;7Uk~LJdgC53MCZ`Ry)zF6iNB;t+2J0?eDJ#H3>Ud^yZjR z)|5w42Qk97jY+t^M$LZIqbH2i3hx~aH{pNP^x89axW9gIvLR7X>O=u*za!H7C3A3Ya5lkroUw1G3#tPS5R78OnX@#OFusz z;Y-g8z_jd*9PF9V4>+WS;6qnq_J<^k!qGLI`@6)Z8Gowh+=F)%Mr_gczmfxcv=P*G zewDG%3?I9Choqjcuby-Akw0If>67+Zq@pNHEk25DJ=N%n)Hz4Qy(#bNS}1Y?;$qPM1oF|C`23vH<#iBy z)uySz`rc(}5;CU#-23(A z;-t0AD&0zN@>)VbxT}gllY9=gRG6HOeKeZ~?)pRTLF$;UI5khMZ3R7nxN3MV|MXV> zlZVXJ<}BU4Z+upi2mAOKKArof*Ss^H?gqTaIxPEPs#Y1Bo<4jm6+e_jX8F3NAm?^SMY?tM(}xsjr`ch#08(7& z#Gwgqx0Q39+n@Xs?(q|MS?f`qlx@$oTf0*uk=CYKKmV=L^SD?Fzb1S`!LkIg;;fM! zNBLkB%BSoYC{U0~WU0*|EL8ME18^$&NJ^!Zhia)%VBduaWo{7py-!|?TO3~0xYtar zYqKt}Nx=RzNY<-UTYucE*&5_N|FD~fDC4|yM@6_hUaPmfJMzt7)w<6kVunqom5pN~ z9$Ri~Yq|cBzk)+$TsUg)XPNF_Utpp-#B_^Rmi&$Kp}pAyM3z^6s`-JdDD%FG+>Izj zX@Wlyki(v16nfaodwqQiwaW4YQ_AP~-@Wn%LN9iu40kPq zYLuOm9ewCY4pbwOV*XU~>ysnM_-8MbH6$WDs_(ta8F;HB>XSLTXFwt-jc8d|3E-W= zR=xlA)WBHV`!!aH`%X7_#q3|P4QA2Myg^>ad?QVYAN+V5Cn629gBiQ9RF8h(Z%iMZ zV+Y;L?w(tmL9ac=2>Khy*uE2eg`i;2t*+~%4Y)IOS!6RS=^qlA_y0C7)N0w?dCC|5 z#vzJDk16Df1gWfgGAQNtAC;5Z1YKbt@-^R(@yBDW?g$)MH~Zcko8h!!8#x*A>dE`A z3FsOBw#JozeN2ZVH~J-Qm@XPkxR?3sS)-Z!wfQX;X=j>rr_L$mM$QG{Yco?)?4}5b zS{r@-1w|~fpELg&OKW|YYV90Buezr|+-}8p)KSKVUr>hR><@;lX#-8n*7vf-!+9`W zs@%31n#Y2ZUF|scY(cg2O4``#QNxUSaNT0j@eXj4X8gq`GQAtp)ivg;lH`Vw_s##D zkg*h>g`29AOVY}cHu=4Cf+c$gT-=QsqFmgLbWY^4mU zJ@EJBFVcE?GRG$ktVC zMUdIm>`F6p(|!Xh-SUQk>x!0RPp9*bUM4II2SmaL@moP1>;hQLyXr6qHyK&}gjk$R zs+_MQ>27!NRq@6Vvz#&040L?@Cs5CAkAB>;DzuH;MZz56!u}4$a9O^s-Rw$_z&e6U z3{TnmOiSDlreP`9#~O#bm=K{@(GYgk=)>CHE)cV2XohoywQ2tLg6Z~xg-#hd4fxfiLfPg?h_fBRv? zTL^dD+RKVm7lm5dpst3M&!^F`!KMXocD6@$)NQ#f;@G9GD&94Lib%}MPYaw4Us5WP zYMu=oGcn&r)bK$rizpvO z{+U~&H#cS^Kewu~15(JyS}q)`9_EPZV9dASH@2zH2h)xHm-04u=X=Blb-`O~)u6L8 zx6k)~U&`r<&k!q$6TNM>q>5TSiXxhPlC-y$b3xJEbzlH2YYF=SVBTh{6MLcJ0cMyA zP~Qxep##K&_WAkg+&ZHp?UD&aWBE-?s}qu3nmHJ{IjY|_338qj;UE{^UPi5|t`peA zn5(5TLl-_cJb3;)GGg7%r*qEP4O*Dxz$wk;1#L>?-VK1&b!jTsCk!C-5kC;DBn5jdSDwgVO6es0MJp0U*m+e zpRjyEI=q_p7eIIarpkKqiPJB{uJH0kw^?km0;)S~ zDm*L#6s5{K@!EM!0P*TXSAAuWqHBOA-;%Zy$(#% z#MQ8mhqw?C0C}!93I+12ueZ~Xj_!36gR=F;ox~jKY7pKLAIM+3l_R?UBhHbX&3f^@ zpgriQT_|p5wakSzS`#i1=bU#)5k<(yXgtFs5(#GOm{A$Bh?vGb-AMttn$*}M`q z!?|kE;gMlwO>WAU2QXRA*~z%H#8#BQWO~O%5nF^7G4huyBuoE81^>-8FJfG7JBHR!(zhe!E9) zi#h)Zptbu)PI0ys>C%RjfN9-&C)UU z0UeFK)VlVK0TC2)tGQE~wZjJCN2UpJijWIDui51$De<4D9AXVflf%WxlQmvj7)A%G zH;j!jl6E1_KtI$$Y%;w5i4Csny7_e5sWzRvRz<=;yM>=9q~l948j1GWs{r0xI{PHKXP1pm^g~%+ zxpbEWOh>dC4oTRri2Tj6iK{cF`i2-I>}ZgBCg)g-Zm$sB@`l*ziV^_7A%igP#ocYt zBOy!*wL5nqh_o2~H z5vx9JBB6^Zb*4$(PdPZ0*G}ifoN|waJPXF6K!X*S1YMl)bRf9)M{*IjPO}zH~g^1U~ zw58@kb0xA=S}=MFWKb)Rg&3A(?KEBm@-d~Pz;2LqtxD0RxdTrPrvE9~s4IW!Hy}st&kM8PC+;A%9s?^^A8cl70XsNcdh9g%>%#2@+w3mJB;u4hw zy|Zgl!z)9t{PcG@P_as>bG$)sF)ApTGG#5`?;HWt>kd%)=0^N zVP)=BUjn}bq1KAB5L+VZuV#f9lVA|R!(C3PQ|q;>-pPjR42WAGZ*3K?$mc*W!A1D2 z%}XZBMGTNXO1}7K9;g_-nphd(Ip^^3Ml&f*QEjH>9;f;~x@i9!U({uGBgF4*c%dN3 zH~#?ru^XM9rr>(s4g-P$^(RR`Tvk(SQirdLb)lk&TBM_g+M$_o>8dej9R8E|tZ6?Vjzcj{1cslH>YY9nbF z*4B&-iREtiI$yb~B~zjRG4`HK%&cGKF>(%cSi}^E3Zr#P+W~u(r_oS2dhi#W(W z9q7wlwl||R0*1o*g02kVXnM!n% zeqCY_P=eN7dDmUFF~~w-Y-k|{p$8jToi*6JfrzS|1>!`iJx;xSbv!d>lmqJD@oGJt#qDHRI{j%_W6T)zf>t~A>^HZf{0%gZhXFK{M zOv+$hnGy09mtaLh!5>!8gRKS4aR2^BbflAD#cWbOpbl^c*heX0vDOwJ4}Hv58asUo zqVStybi0Tbrkhu@fj%G4TiMC*3kb9COj+TV+65`IW2UdLcKMVX`vfq157wis<$!|F+f1g?f;%Kxq2!Xs3?7p8^?ac7es; zZ!Y@2aP$)$Ukg~fIj4HShHgDJ$#fRwnUF4}-F3fyekigqy`mN>vDpJJ`efpu3*2E01^a3Br0#dJ9j7HYk1`EshYDWS4cW zhWwJ)0F~CqV$(UfE)^(4y0Pq3Q5w2=>a{%Pi|hCUsE^LhVj9jF4rpci{qp>ia31fi zoRRRd+SMtFP`a0mNcfK~5!)cUQdMlrhsgcqK|Mb0aaVQcz3=Ck9jZi!NK!#alY=|D zc)UE&voXP9o-XAaxOVVKK5|q={Nl`wh=M@Yib+843LtO@t3fTQO#%~ntmbd;x_PNe zF~)jjZz?+L3d`D>sn%tRlz%V8361%M21GGu!Xo_8f{nQpmk&x}+)e+jvelJFfy2HT z_au6MfbLdt8NFhuC@`)+?veX^*U~n^1V2{i_M3NOZ7NT#txmPhZ6jBWcU|LYoaPMg z^K0D4Dqkx*+oz6}6>exVZQ*kl$SmsAL|~Em$auQz-;pDk%zsU}m-gEx7+54A792Y; zlD&FS{21)Dg?N#{;f4?;BVl9(H8Le^x5g+S$-+##ap3XiJ%gS%Y~};!oK~qD7-b&i z*aXM=CE!cvouW)8J9lWo;9Mf8{&WL6eHvhiu=Xo{nh7L0A(Q!P*C+K}WvF_;X-WiY zzty;WVz1SWv%2#V?&>&RhG9a-!|XDa@E3g?St>1j6hFa5I0ZGbKZXyc-R0am#C#Ir zvbS3FcrJyZs2LeqVrE3jKO(0sS_yAd4DP@YxLA<7+OotEx~DKJB!OXH09 zrCCm`0v9X~oS}~!1ztL4rRc6E9uuurjF#d5LvcW3ikFge4XK&Qo&i{jH*p1WtGYFq z(cY(?M(`8U{e-d{0u5E9G5dwP!M@llsVTYq6WOQz`wK_I6Nhyag-G4(M#3rww)oI( z{BiXtrI@&TRiGq3(63KjRXm@WcJB#4&kkTuD`(UnT;rZlkrMZ!=G;$h{0`V(S9-;I z?{J_9wxS8}rK=rI%{sK4kcW{bgf-Rg9gh7a$wOSj8#^s!DoNqPTLUk? z#t-=DM7b@x4J=RlplYEsqUNTGU5AruZQWCS;UG(tZK43_<-S{kCruUkNyh1(UwJTr zP`Rsp3;O%guKKC!+9tc8I={>Xu^i9Tpi*0CmKyX3oxA z_!DMd?qZ6VRq=m}Y#FL%=Z^?(gh4B@o-uL<{GphBZJ4%_byLuqxP5}#Fl&4%FTe?U z2b!%0l_UUibK)RZ|GQ-Ioi)BCFtS&%rXjWU5n5V#@Tx8#Oo9jPGQ(DOS-0x=`V(2{=?yS=m1P=cl#~|85?&mEgI) z$Yi)1x>?01W9KStw!Ow7jcU7w)?ao9bJ>)zlSkgEcq}=&XK}v4j!|;e*A(_83sF-3_VVv6;?z$hd>|2G^PQ%$J3gY89#-xfs z^vtMp>tab{fJDYC<(m=@CCJ%nTicXs)Y|Ang6yFqh9`5C+m2)?e^n=_aCKi4j#$t# zFN(atlR>w{kRby|)ez;yQBQ8;BQSvh-1#hMiz)6}b1HPM1YzQ0R+6I3lV%vDDS#3U zH7OJ0KS5U>3+f2ESaL{BsvwPX7ZkBdjca2+v&WYrA_z4h5xI$PRRKn|9yGjrqm3L0 zkMIQjVA$Niqav~B;Ii)(MsdzE>LYlIfb!AKM-g|v4zp?E%z}FnhNN5dNITMsILK>3 zWXr>Oxtgkhm^;Wteu=J#VNN(N#b;(*C8Teh(S<0HfWb8>Pa{`3Zt_AiQ&>&+Ov#tM z98T8rUF-;}vz;QG2~T!;!teKvs4G6ARy+20xvR3*mVUL+Np%ri|8%%cpNe-yG#_VR z)a=Xw)oZdB-8E~|Jgu)}r7yxV{Cab17)tVvev>!SUt8uUkO+CUkF`2}e#nPYqvJYD zL)97(1y&5B2*n#`=wJ8d7tfERi_v#O9I>bAV%bP814=U;rox4An?vWjxAZjR&dc1e zZ&};?BObH{blckK_qZ2;WT6wsFMIo4q zAOZPR9agAiuI9s$nRt{v7LY2jsJS9O!!`49#yd2Kf65+T6{s$*-(7a7ctT@SEzX6O zpB|Hf9b~uR6yw#}`le1(!rS|d`AntHJHgZhZLb$(zjRpjhIdW(-AuD`&ibNeyMy^j zxEOQz;b3@I4i$d6&QYuW5`W`uVeg^*@G%$ z`~{F#i0=oBlDg!pH{0evWGN16RUgl-NU9pFcoTnYSX?|gHAAepyFUMI(>jJ}T^uY} zywiEWT4zjqO%Qf;c)soI55v#$5$WQ>=6a2&Qj51~FrrY#>gbnCBgAuG zKmUq}?()ww-RfFmq2^YO#-wo8aEM9F++@wG!!ma2X$El!=rPG;S$GCRZMV#-_nvDZ zo!@F-JOabN7S>=26O>3Z>Nu-LsC;B1Y#dzLYF+U5NQ?XmLNMV{Obbe6z-P*UOm)cc z83kRq=GU(=Jz*XIao?R_q4RrwX5xu^^U{#^9a>(!;;qT@{i)-J2k326cVueE<-*L? zcBuH|@W^7FbXpV(qfSqjEzjTxQC7@TS=Vpbx+vBpVvy$Y%G!3)T%-ks;u2Luhc?=w zo>oM~xp7x>DVF%09NFTXH^4&HeF7+pP{mAppL+ZT6FKoM;pfR`@LeQQ+BVx>{pXE}qYs>)mQq9v<=RFFj|R zJU6km+0Hb8I-Xb3?JaV;An#vgj>cUK-7C&z=$}Kak|kkv{3f4;b0VPSj{GfLoq{N``rp)0;@IB+2o1N`boRm zC~e&M!>lMxC@x|#K7Dj3hf}8OB9B*}uLFb4wo=+)Ctg}xJmcQn|1jq_jc5HFa#3JR zD76-<3hipxz;@qT3*(Nzx>NSHhcVJYyul@`tcMSP`sKZ?VyYZ|7icys-EHGo?W)OO z(hr)Y<92_Gsm;t_sO%G@v&Bho=dtqi_>&2+Mfwq2>uQ$|`;$Iza&?=nY>7Mb7>{cD zV1z|E$r0kt3+C5G8Kht_JXJPInga#BYMTr-l99vOY%DrfsI? z?_eiVhi0Z_E#$|`oeezP$2#bjsL8xo*F^QQTvZA2kGQ8fp%3#IB;|(EBRc% zfw`p207h#DZ%kJ(dMjARcW7k3=Dkjf>Nx2!_85IA2Lpzw84SRXS;a+Z@^e``g%bUv z%DL@^1GMkvn3jcdxYw=P_974?$LOPflYj6pU*4H-GO3Pu6Y5;K9z%A!!xf;(B*cr* z3z*46G3@b4%ZXF{5qF|5!~LoVBnb=Cdh4mbD5PElFKeICDLUTD)3oQYxKkFncWdkC z?y>p(p%*SozOUVMy?J%|Ht)2!tB#Bmel6n=X`&nxdJ(*y6gD$i+cf%kjKU;|)XqgT zsAns7y^ZKl?LCN}7Y%43W{MnWZuE&)OZA`O$nm)^QVVTPYIv&=#cef*dW0d%9U&MD zL|pHv*Jb=&c@9t1a2(0T?d@Anacs=l&o$#?mZxn|vbqeDRW0)*%B^aekM@TnkW0qd z3K8BFm@-dcKMo+7z!~hWw}Q^6IhU*53Z_hMNjuT*59Yyw=+iLQ+ts}FY#gq=)Z&}j z!&Ek&6ns1L9t@%w+s;c@Ys+PfyDg%`4GC;6dij(Qm#4FElGjS#v2`}Eo7*Q;omDJu z4YQBiT_#x<1Wg@Kcus4)Vec4!Y~x zj2g25xPSSf0MMmZYAof!BB#G4bK>*6xhPML@Gg(`6=G9{V&=UUU9h5tW{%B(b+r=5 z>bDgq>9l$)kEoZT;48P!IVvwQr{mi%)xP`Zgti9P82`M@SBt}LibrqjpgO76&?k7! z13uloA2*UzwLyCx#vy;P+5oMt;)8)U?A9QAqQlE~8D6CmDhg93NKK4I;;P$OAWN9P z2g7-0!X2gb$&FWB5L*D ze1F(aS7#`7B%B%6ngwbH|02>4aFGqYVe&wF;vZE6#1S#Mxg}{EMJc4bp$moRDy|2B zzqulpgqsy?I`NN}O0L)C`rAa2YhBUm=TzH?asicf#Hqyo{j@M@EQi#^`)||4p3TmT zYu*x^Qq6@a+rYotz@b?`WeJ^yP~EOcx>(V!x+>FyHLH2IyF<4rOn9)d%qc*SCzi5z z^|zqT@zVmmUIFBNeY?;nRk_=s1Dka{eYBMYId5BkaPVe*c4VZFT&Q`WgcnFA1R!HCGe1Tnd(D@i z^MK^3G95+im03s#=LP{ORA>?cw{XKe*<;ZH9_KnBS)j)MD0S4$a3?*s3vtU$d5JyM zs`{rOb`wz0k=Ki|0(#pV#=v<-DN>g*`B9Y52;ftEWM$Vq>P4j z8oFoYH=B#ikM9am+&mcj(5qLy+zGTAhfRWD*v zT^K`tHWFeaX;oOA^tFnsg1eMG#K|@P+bYK0SvcL9MX?E6srULYay1{Dn_nO3TW%pI ztU^EGj8(}Ijer_uW?B~~Q44hGE5ECUTs&foE$V-gqCZyUK`=VvkF`4I^!ULbD_GVs z4YU18-kP)?yYhO)WR?Vp8E(3ER*~m6{EyQ7?z6LFTGL`EvzCZO zanZ_25|~M^UezABz8IbzGz~;xRq(Ol>trC zGaC2D@(iS@IZ8; zMDi6KDD6?eYjm|%A?R|X>%E4-Cdm!+ms?A+^8`B>(Sqc1> zC$sCtaj@c{JG0tI=BCP91!_DW`#h;NeIW8Y{>jNGaODvQU*2s6g42r`#gm7P# z#>Fe4F(o?dW>7d?HN>~cE81aW*(}(VJPm@ z5#xTjwD@WPwjZi+D%4Csnkqi1Xx`fCD@b-RntXvQi{t+W$UA@fvXMp>GEYZ5p)%oP z)_zG!hk6F>{)bBvKcs|@*gDZ(d~g%!FLv~LVyYk5Auc&}JU5AfFSNzs~m_Qt>mGQ%hH`N(tY!=tmmlK9mPWz zRym#z8MIuIa8XMNPONrkivp@4Wr%&{MV-qxa)!^Gw-^x^OYG^uULTBt76k+fo4A-p zi%+*CUWB}@6G=XG+@-Jh0_klRhuC6x#@FcBm8^bKD^b5ZA6qo);`OgU^$eqTa?FE( z7aQy93za*>GmOtIG1g_vC?m`gi#W97pZ83B%M85ZsM>XOn4Y$aQ5_FlGjdPj&{7V` zR^{?_KOkR(TzE>Zj4ADIzChn`OYxb+2Kip(p4f4%!Lz1$paT)cw5G)HA`Hf2?Ew{t zt^$_Mdt%B;+9^3FDK~OEYHbdi<)I!VM089jpVzC@F&Xj9*Es^=9Q=(NGGsZ{myd`w zwE5z%jFb-bx@Fjn2q<{Ea6{mT;-BIPeXDmQji6=RPz|9muSuJa`iDm$b6#vJ^4+j! zN^E|*t26wnN8vYX;qnEQV-;5Vx1yM4SjXD3BL4XKvir;HEl)YQN=^rTz-@a(C@BWK z30&7CP0O`^iHC*@ey_(}%24daulw$$|K4XTG1(rc>4VoS17*`Dq zyQ8ls>fMx$axT>mx@az=3;Da|Y>tGR6Y=X-V}~a2LjUqh%y?@g%%fo?G4BfRL{{}?{DhQS^sU-rv5E=FF({nSWimb#r^MpzOb z8tS_qZUU_@b~WPY1Bnkx7D#UB+Ip^14tL3($L7u@i`kO;4_1`j;EPK7=q8>xS4s?12Dx`CVck7J13ux_WbOm|o3sC=sd`w11u&)EO*6vlI`5Mwwq~>Gc2Ivw$Iq zyXDLXR!?dSGb@TeQQ6G9xPOi5FWC!?<~#G7z368MMCl|yo5m@98wiFhbx;oXMN=pb z%*_XCQSwjG33uo;OxZ&qaN1B*OQZy+ZOfs^x}ouHEITy?BGru8D9<;)YSwLFexvMO zN80I5@{nQGY>BvOv0c->GNZoBsX%K|zZ)OV>7_4VfeX#%jds&9fIf@wG3|vyzm?vT zNf7q>Y~1v^L=d~owBG1QO}N0L<@IoQKkeSG*Tufw($g2I1^C9)#Pkv#6V4|+mOO^k z?9n8tZUiSR@%u`#R|Cal3y1J6gIA`Qh>2^C-7CPRD=#)Hp@;^CF=kM23E@bAKhluO z3AYlYkxO_GA{1jH*DfMsV8O<4ZX@+$bw%JfvHy zfhGndGmV)vbKPDSj2Tu!oj?>y#?A|MhpxtN>*&ehhA&P4oltmZ{Hx&>9fDHv94en718_eJsCr}Kl1Gt=wfR{zN8HB(mTs?g9bbpaeaYHz z4gNrCR9#@J}cfT6AG@YP%fO!`&2W7L!zGR^hcAzpRf)MzaR?1sbMt~eg%uXSP(vNt@p;-Ae?(qARnC)+upVkGo_Zg zBh9p~yP-}f-$N6Kd->GhvW7mL+^;EbkJXvIyMrB8=UTE$qj{9m=JBOY8DS~;x@SJ- z`(AHREuYT}YjOKNpb>BV-&IO<(qJg(oy05F4jf`K@-%_g; zfW%9jZH=w^;|K(DB;E8S@{ecAT4kfZL1OP57EF8lcc{Qq#Pk@~c!)HD#f5F0` znBwY|G|2+1<7go8E=kkEb=*2UZFlrX$;mg=7B84=oX2iP<9Q)wTZ{K2PGm2cFR(!D4<>4YE zm-?w(eOt^{w1+wx-VwOq_3e_LK{v_wqGG7V=;$nPfceI4=3>1;o zh&J-JIvA1+HUq(nbizhip1($ic*O;;*Ib$bijd8WKf{1Hu4tc8KcZuws6n}WR5i`8 zb;a26bGBl!X|gz^7A*?klBv}n(H#GJoOls`#iR)X3=?yFQGuwE z6D_VdY|vfTwq|FdwvmAfFJ0xqZ4cFiu)>rJ2bE7pm`uF~dOjPJCXleSv2<~9%9*1C zar$nTw-X*Cl7sQCn3S`KbgRm0xOZ{pR+;SJrmh$27lYVn<90&I-BfA!T0rIjvE`|o zW!_XGt*g$bew?6aa<5ErVElu6tkRrmS=-?I0y2Es_8cjnU!N1W$6~F_g`3mXuF)=d z6b3`i^E&U2WmSbXDmf#BfI9%jR>v>Ba$ic`!GwHy5SKYp`c|E11afLbi)Q@GwFSHV zimg1Y`SAS}5sXEp8MAOR6|1kuCG+ndRVX{_KWXc++W3_hC|@_;@L(hoo8IES1(DeC@Zf&@Xt)J9_W^fh4%7+H?@; z`B4)Da=WoULh+uPeR;>9j2HaeDJ~rDBI1woM=raPudO2-QEh9j8+9Qa)mqzMV{kEp zY|D)G4IVaUU)`IcFJj9cnrGhV8_tKj3$a~w@fAb%nJJ=d9tUc28+6~`)`l$he!o9O`?)b-y^itG`^qtoSE3q(dXd?FWWTa3X&ne zGw$7b)GKVGL$5TWhsme%cE*0|+t1n!S~@Xe@U3R#`)hff3SvpOYH?@W%z7lF?SW%+ zU0ofTEl!$Y_hXkO3lQeE@L`p5-J-blmdfyryVLatG-_@MjOica^8J(?%CUeddb zHgF4*i0L2I7j>KjIydr&Wb(x+OQ3iu%B*dkZ)K~=iEL2{Y7maid1TxLfqZ;7+|2ID zv)INs7*GLML-~z!l`HRrWL>5J-$czFl~Ca4vd;LhCkk=7>}Kh;rZx{;HCb$fSNnqS z`rUUBOJ1Plud+})^aEJ)L$uj=Ef2jMBjs_yo^iF0f z14u8eesl@W|A-CTA!db~)Oo?y@}JOn%xEJx9xY&ZcoC)yh1q=geiGXV8GC!_FQXqf zqEE5a=NoJhPL)>4y-O(zfN+@hpT0oI)!(q%{w>-yTJ>8d*|^UFg+m*-ncj+&Kkv4bga{GNWo ztD8ED$$C{EUxFZRIk7D|0u+iEGEQB#aok+ILt{uRkv0l@M=Ifnnu}n}S-JeIEH9k) znH+bsHBf!cp$VKJ;#N)1Q@-cZq5vQH>rm=o53sFBZct3r_p?RI3_1`dkT#VG{S_8j zrj3ZY+e>0*0*sU{r)An z@;vDMG|ZB3YkU{5I2EsNIHLnryG>^Rc-%ywb(LlhZlK7<^X}lbJrqbKJ?bF~32OeD zd5(KKBT*vnT@*<92jc&6q-K+0$in3SWj}aq3@ppBX(r6x%k9RsrEJ#$psRI&P6Jir z{o&_@UgB(Gg?F39R&Uei!ot`#QvOu>ir)@9)Z*Oc0Nqm<`2D41reWG8tIAQJVkDve zJ!6#q>6~-BFQ8$FFT@isv;8N@;pd=yy*tYqST49J68w(=@ZQwl(CENNr^{l@A5H*C zA^)Y)kNW?47tmY9dTb4pH&YuZojmAD{Jh9C?qmJW9`;LQrN{7UR0sjG9#$eTvBO?a zfk0W13BF%e19FgGXUJ+J{z{sp*&2Oks9)zdr-NNQW7<~TlDaj|z%`KWpsaEaMk2TBCzijbG>n@YWjKb+HHMQk2~un_ zZU->>Q(IwdvnJbWt2hhN5P@e~JI1!z%G$OxKX}^fS2Abkk^!LPbdID~J7)lG)(1+( z-jZ6UZDGXL)V9*UDUeT_MCBY1k>sm=6oE zN3ByRRptz}&So|6jNC)8$K_n?JT7&gH60cwZ*b6j#Wx2fR$r$;)-#xT=?O{oO2XTc+Q^+G|XodKK7QJ2X_ z;aK3u`*jR$3Xq!vKpp#~-X-AKA`+ZMXu!KJP7vrg`I2rj5ZB3q7pc$hbyB|l;S?}j zmWS+(&fPpIXPKzI^@YM1GKm5&Q~K|mCkx@50)6V0kFb7fk11?VG93=Abyq-N7R8_N zhk!omS4{yw{Ly%woqIEKH7mD)26#KtIST0cEOoQkredrHb(6V^2#@#?BU+=8$qw+$ zQ8C<&A)pW?@cy7-3^%dcJBDAzJ@akw>2b`B%sc9AWq4hC{W&&Tx!qzgOweT-yCL& z1mMhu?X%th^(?a>c)F79+Ld$8dV*qGP$zz3J{~@q&SqNUfBQcc{rPje*SzaLWAh2D2i2_&w4`#crH?EsHh) z(;@qTVKst7&uaoWiPhaMHO$Whc2Bms+^|=4uv3IyNYu2BLIGd`0|oW`TNPM^I#!?Y zXdbIB_0)lFf5-tdxq%EDCtKAiw={3Ne0Mf(nF^lq`{jE!iGs6D>R@>P?$_ljy(fqK z3MSxqFELCTVB3kktDXVN#v8W3xmKgw`u>CG-rlhw{kIwCsn&u)(^~_y6d{D^I{ zZ#VeZ84g(7Y7z1ehreD*41l-g%$7fH{Cn2S5@ipZw7*=x{9D53Bmet)?7~(X2iZ>F zqt9Riv5k{<)f%zq07th0+`XB=-Hk%d0V9wztY!*ShPZIY0yyXYCKdl7kQOF>I}RrD zp%Y#iqm94tm)9R-EsbFMl?7B+EtEZhcm$%{RSu`MDcQvvy1CRZStP6X0C1|cikjm} zhZ+KbwvfIPKK6G~`qP>jptiHx2i_CwLz3iwhg7jIs2rC{x&sS>CZ$09nf(5YZT#kc zw>4z&zc&yv7c>ZRmX)anxkTD?Wzs%C?w2igqGy+iay}}&0yGN~K+d-Arh8e zUjLsLl$i?M$7-(EL^^{#0jhX6TM>s4+W0Uo#(jkc8|hWJ^PY0OI}PW0{6h%ohG&Hq zK6f=nHl+M#O9gjx@`oY?rjU4tz()m95`5^A0oQq9Xw-}UZnL030q*Z#$MqRDL`(+? z{<>8>>V1y@5js;Byk&qXLSy?{k~_Pr0>{Vm>4`7c?wef}*q%XzJaGsT3(P=F0)@2LpVn&(`RCsh zr~kPOmxsUh8em5T`%O;}*tISP_J=FqA(t8og(A&1ql5yt>mb{q&SF=48P`wG>cTK=X67P8SlJR+qLtH`s$Ho>32`~Tr^`j8T zlY1urIW+|G`RackIOKZo|Lb!@82|tM%R`H%+VpY72md@HCxHsk4Xg3q7YS`(XSH;8 z5rpNyGNk~TDBPb0k2j?3a*|pH*<^0=fbDZOK%L>91~xwjwrSp&P{c;&N#wCv&*Fr# zs4TW?3ZPNQ$7_m{RQ2I;<~Xxw<9%jlUeO3uzq&zE8RauA2>oZsT3*P{yfC7%IN?)p zMWsb~uzfi@4;c)4$*#w#liI)W1YBmz3Bi@vmPP#nmU>(K2{eZ$y*Z$fwRZ>WnOwvK zKAQJK$Jl#J7(e10&tq@*FkP0gzP%uN@VLb0_^!(PgDi-GofeoN6E|^YK<^9M2(Vv* zCEJL!0WAF)zy^k@X&Ad>MZ&XfL}*~E$o#nsCdF6SQ{WwN$5uV5mg%{I5`jl_mF8vj z<^Te;1#{9S3PXJ9{@^xt-o(K055GuNC(xC$QByz&qp1w z22lV`JzxzrbeG6Uj;R+lW#^bg^NnrM!F~(HyG$eJUGoW%Oc%cMwIG(`Pxp#Oh3^2+ z>wH^lvb0+}3D_0Ut)py2?KHnT*_@d(3=9KfBpTb^o%A&Z(5082%~pI$m$GP;EB|?r z!h3xi>;f@Xn^xZpc?RU}oin?9x65VXpMlZk+nE>9D>SzCFbOZw=ly@N_a0DDrd_sh znG=di+Y-ctf*?pnk=UZ-qzDL-l$@0$L4smqs~|`Y0wOspAV?@Mq9n;6AfSz;0xSgz zq@duQQ)quZ|IFMqGylw;S$Ey))ly>B8=v=i&e>=0eIQ{wM3)9FajoAMQ7>5uI*>?= zCe3dhj2y9w2kfE@6IDhk4Lty|?n$5@35B*r^6N7vSfX8u)CteNKkQ5I+ez{^)$L}E z9UHgyw*s(ci0T_S46?GZ-<#}`e*cxH5paO%s+$j)+#tRtxs4BzAAg34>WIRw%O^{g z)F3AtG*(48KBTyUmb`U}C39o;N0W!`0|QIyUKfQ^%&Ht|y&F z5}(&hqM*SuP#Z(fl9`W~uGI1ZPVOd8U%t`d#U}nw#9|+<*$a}w&4Z{B-Z>m%*BWlh z(en}#e?G#s)Ao@#lT#ya+e&@k+sb!<-Q(f;J>JvJHaEUvkYuj-)`ej}yEa)b&6FUY zu6nvja^fwR4RsEPRzaFuiWah(1lnn`ZKCI%zdEiy*WIZlhZGPH(C{xHnh$?pe(WsFk4Iz+B-ad~E6*dW&4wlZig z7cC$rkp%Jq=DI<6W8af_8T5zR%EdcM@_a4iY`( zIn8%dEl`p$H=QnHNR*z6Ke+Wk<~ygtMD>=G8f87vI;sUb=*ZMNhg?+;RxBE_1@{dl zYaFMhZoks-#)Kj5{_$S1 z&2zp(Ds^K**QLo`pnlf#PE<8)kt8aekrj(N<*fWRAl!1wRwzPV&d2e|=E9|1u*PX0 z9$vzriL!+B4sAj+0Ngt45_8hrQ58qV$|2mJW&4yENVw(G2Obx7z%A5a*W&Jku(-6l z5ji#_SEM(TxYh~w)t**hZ=Z0*$)HZNMyy`CJH+|7!<3KN;}R&j&+2!sR3w#JaNWQ3 zVmfENe^84?@$Y5=@6E#0vS{89oazU!zBk#pmheCZ9|n^55|?Y#kf$O^6Xw?|+Er@Z zlr|Nubengfk;A~Ip4A;~4co>y!I8<9I+2v89e+GCXKJx6d2+F>rsY>ygBlsWukNs+ z#f?Q%Mt4qL$riiaM+$G~&MdJw=|U>c+&NU9x;vuL9iWl!MRk_%;GS|b{3tA7?bGWs zRnm_nlv%FKGluL!=sx9zPQP$`44kYA#k-~NF~TYnikm&8Cst)n9WA!5rNWd+cJ*GQ zc2?|%jq7^;xiOTJcDY##xJ!ILPBxG)XmkhGi;8oHI`|a;{^)=Y5 zSgSNRwQ@F}*Xh==kBv$A2yms>lYBFo1|fXhizTm6(wZZ66KhlZir*hf)-jK=3mtv` zPF%!1@#F9O-lHn*ekIRqFSmY$yiVs$jb>eGx<@J2x6iAKerwax(4OxE(}i;rOpt$? zJqb>$FRU8$_V5uHUU2J)?XhoUS1b(>_54ZG{`@OpnxrI~HQWsC{nTOf# zjgL%nyD7+WCXgOpPMih&g&YeH=e#!=WG$l(+93)1%q8CK& zHTHM~P(Y6;ej;|0k9(WmnQ=r+fwkO~XXr06~ggO9)uYnEzQ7-*p(J!jSl zzA&w1AvCwhgCSPc+jrhL5lAT|ws-i7t>zZdk}Mt$!f=&nv=hmt2NPPuJ#%jrsI(8T zT3n`j;WFpYI7lwDiyG>LsKqyC(ZI*i$00K{lGF`1*ppU2TQMv}%j@SYtZ#As{^@23 zZxp7eh5((oCz2a|wu#>@lnz?bfc1^;4-jnb060W%pD$!iuA3uJJlj*?)zgP~LP;kL zM7bj~S1apqEhi4aX|fkkauWHS7M={CJ5Pz}AglrG1+FUz7Sew`SJOjYUolCueJ4I_ zr}svjI+9$Dn)f`oZsmhha8??@1Gz@&(rC%k#?2ZGRxE{M-`?yY&nzx>|3Vr|>@3ML zotd%X%{NN7bJ%HB(ib~(4fVW(!xi8=kU@%~wO=_>`Z+Xj&9CPkG`ji>u=O9yIIdAn zc|o21aN#C<*{^zL_l$ZH7hyTM!Uwu5VzK=bC**>a?Gf2c_UtTQcIY4yb5)2HtpOeV zi{DY5WP4Y9XvEd`Dgd5q4c;{jcGe=6KzIBYw5$X)GQZf-ctVpdD96B1x@rlMnQ}z* z@Ae3HTL&w}J%fp?lPp#Y$43l-2j@D=I}U&O^WViO7HMRM6mRS>)I=r#J^96lt2PUJ12` zWo~y6u-L0@=IOibYmn-?nlsJ3uIU=yBrWzJF~<^IT!3o* zmIfOBs?JLun9FfPm7bQ+Xt(2DZ-^=Xyo=E7&*h>iInMQlpzG{4O61*0_kar5t>u{4 znG(7Pm~yWCZ4nJ7&EV*F1)BRI? zL)-dd9v)%Y8aoz~nJqRCQ{ws5^Ls{oTGWY;A_CnPApIH5VqkQ8ltH#4&Ju3OKqW5Xpw z&L+ja?>14~o*2lX;!%jX%QtMWc;9@ptdIo5u=s)D-d*W)?;1ikbH!*Wln;?TAoST{ z>-NjY4Z>=_(>Vzzc)14y^v{f>KK=x8ux`Zm!$7|Nl?6LTiC9`+dM&}jt6`C)y;ZG9fTuH8yU-C!iSWmlwz_8OnsKiZFG z2_&zBga;mR2T~2ay=E*02HR?im6QvyJRsE)k-9%hsKyg!eZF=dea9R&o6K>G^GAyn zu3rvS76i`$9(C?Jt5<*iuJqv4qBK-w()l?eo_GqJO3SrM$UCsPFg@N)pCUf`OrtA> zSJ+!cPCDP?d`DCa#V(IIEy?7Nd7@1RPrOyJr6KV|FUdEz?`ZPD35&wTv>hu5)ki7P z@L%Pk#NwHw=zgNpzKX5I;okhxYMb=M@P6SZW^yDE>!=YG(zOl0YS6gr6lqy{q%+p( z%(qSa?1mTYC`;Fh42w9-wH;q74SQ6YR@$bikL1b~?0e4D;IDor*se`mi?bpAj~ zjWVNXSl%ZeW*=F6FI;moTlAH{Gbi-@0)`!&#y| z8;G`96IqY>Qw$1yV)`z_jOpkVqZhSm%drPNOD*c5OX=QRb*eYrZ|;Lt2}uP@h>w)4%`+GwxFz^Je$WF5xkHv_kPl9 zcal`Hfj6bSUCmeS_!!ftgiY zAVZqDBF}?%p{+~mTwe0JqPogHkd8)S<+am1?awIj+5OJn4w|HjUz8eb|1i>&_&l=J zq(semt6as*llY_k8tF^mAEeQEB1Dy~A;uzh_SSvI7VfT)oaCT;qd{UfP_lde{7b-ux^nsUQwACC zDn3vpb<7!AOVm|rHM)n;q`LNd7Gge%B{H}fm(-lsUGkluk~KGWj1;?7{V@TP@s014 z#9sAX-%45~U0^6A%iZ!NlwrU16)Uqp73U6&{q~N_-yX+yxhXMMsL`CpI`%%#&VQ&l z0DOsZ^gFAc-R0%Kb{K$o-IAGNblM>v5za>eSDK}lD(CG5$EU@vjs=dxSGU$YizR;r zc7&B;N3wR0Vs~L0C zxc4W`TE#^RC5dxU1@>EHGpf?{9wx^rY(GhS*t9EC`u?EEdwVTk;~C1Lyaz+nSx&F8 zwE^f3HsDnAxWhn?tg`Y9>x%V3yz4i}DyCdUyFo=`(SC(`gRz4kf*A=UHq+FX!uZUnH?FY`8(@BP1nE2>5GLRc`$~(gqpSNLU zMwES_OCZs)<(v8^#lJb`4-L~&M1D|tIZvfucQr8IY5=>C}C2YU|6AjNIBl1?o{rLsh`VsX!w z9ro&hJJL)D%&%ixD_+aC_ReyRrkxSA;`$Eq$Nr;`$?>$5mpVn>>$&x?@sG)q++6HF z4}IbsL$_b(l}x-E88f~Sal9SY3EQ?P&1vVa-&{fsvUMD-A#JC8a2Qa|-qQL>f9dQa z5^2Y+p+o&;R1v1r`6ipq7K_zutsnJRJR)b?Ql!=uurs-|o?jcLdacFb>u)q?i8&vZ z_He(%fYlskF7iXK>~`-HXlvy^>8y8P0Cb@<{W{Kv#IDDX$aPoVDrQ&iekp1wM|;Xz z>tO(#_F&IM&wknZdP=2EDCI#ugB9i7pyx9W-?2U$5eK5GS9W2&;;P)Rj!w`%+GcyF zhk+AUM}Bwa&MmXj&7-rD;GNgKMcT^JH-ArX{H{ARYwaOnCmEKknbok4ZBTt&JBgQMV&m^j{7HgGc!W1_Z?O7XglmidE2sjrx`Icl5cbelX#Eh zPVLBuy*Gz8>bI2kLO`g!vAF)$%;RA19A({(s{_$4y28g_U-15Xy8LK*j6#my{^BVb zYi0#zO+wqp`m-jD6W`?I$1QoLavZNwZdMZC?AF6D<4qy!X)wi}jf|1YH}nn~%7{|g zKPtR^@3r5!qfXi|Qf6%xQ!D1qsmX^AjqY?(AF;iC_qk18PWtt8i53r=ziVn7*4^WJ zZ+38@m6uycLErJWZ3IGY#%$*7=2!IwWZTrfQpu*_`PQrj(h}R-@=XhJq?zAPn%W zIxVyNrm(P8w%cv>*)Y|hF5@}TO4IZS7NSyGFvIQI2WhI??pgB+i7HNsL}L}HJ)le1 zEn2;?e3jJfyAj?;!WX3i%I#AsE2zV-S20Rzs)=`3_=4+GWuMi&4>;3FJRBao)-v?! z98`x)e(`Gb>T4aa5RHhb+;8Q)Dxy|hg2b}c>19Otg&<|ckC_rkIWk@>y35I2$fXaIYR4 zj27?FF}VDCG@=h7Gw;f(gz87V%2y1htY#DilnjZgV`LWf_;6g6Y2Go}kK-qE)0Y}6 zyLj~^J>ynAZgrwVfpmx0YnBfNL*?Uk`A;a@v<+1k1rn@w6YmX!V(WH~(~Oq$P@hL4Xt zxtwVRp`(XA<9seuSoK{28;{C;jItRePl~#A$KH$pl&y~jG(6|h?!`Qqi{2f$*uB*e zJWO}{TOMy-kZP^$yKl}c&x9!PxrcACNHja*j_GF|`pk_UEibiJZ~L;d^6T$e7mX7Y za*vkI*+$mdCclV2-5Fz)R25JFCe%+cM(Z6~tr9y;&6tqS%0$ZW`%jw02B$?r4CRz=7JYS8`Ix7%VrmU0gUO^gE=U|4NJ)0GGDY+T*PuAy#8% z9wRDJZx0MM@i>*qQ2yvmY0+rA(jhfp3m}RyEx&TJWjK8rgkIIIuv;BuHP%f+GS-EN;A|{%2X0eV zm9rgZ;q%3La{mA=lL6}yq)3mHxu@_5@B9;&^pYyCO`J-pkNTqT)pG|an|VuoE}uQh zKN@%mSSxPX3>IaZ2!4Hk%>!&3&>EL++n;MnQs1!N@m)pa{9Mrmh6qoZ%mjC?d>!Ww zpD9}{4GCnoIjNS{Aj{82zqGGn!rn1ko+=hx*^8tF-sri!OyQyOSU=(rgi+oc8kp9^unrUb*3(3tvu_V zx3brgY#K)zz~5U>8r)&&Xj|{vOXhl%z;zSF5|tp7;)m*=ZpoG*Fz`#Yxmi2&PWCPq z;5gj+*n^xBtQ`{7%in5RdRPtbIwK?BYSe3`tITbgtk1ozhcssY2g{A9 zQJn$c_vNjfprltdj^s9sispN$1(Vk&%kLy4_W|kPenQLcVDzW8g*p;BR>b;D$&xYj zC}{2Xs^w01@p6C?-TlQ6z>4V=1vZKIxnA z&Ub%(IE#|WFYMb7Wy5wawD@&sRJ(udvF)`rzmCuiY_C?K)%or=mrm2k~0PA(N z4_HraPu}joT5X|WJY*=vYAE=0 z^jP>j6+2r#9=92G?CY7Mk?lG@@%}Bjp^*>Z31Va&kVHN>#feI1FUC;JLHwu27n~Tb zP@8&L(g8|8d@@U5P3bu2jbzrmPm@57yCR`M7s*qeKyv`OVAnXy1P{;qmN-M_!P~TC ziYK5|*`|5l-iqf|8pb9rp+mNlIAo`!>DkX$2!3uEvowB6ikbN6YmkF0du`W|$iI%nf>Xn76t$Wz2W%p%lCajM%G!v%jQo zv8ku{DLAR=SBfpENT_!^Q>hC{Sv%dz8s>Y3eX$sjVLWut(~Z$_^x36DUyr^)`Y$em^QfjYJ2>?4=l=NO)VxHS~kuW_5T%(-*xnomXIJ+gAV`0vN$|o`RjM@zg zZx`1ux58$4w}3Fb019)(PjV{wo!?q|lbV~6!k6`n3-Qz|&Il9dwZALs=bgOMXho-_ zBB^0_@^;o_2G(Q{toJ>|vQy8}_KA1}c|Nl?H{$}LkZ01OM~v1H4p!ElWOhhH6dqaP zIAnlRhXCZO?=@rC43@T#(sDq0sX7CEja3nA^ux!y2+}pWMD=MRbdGn>Q}j zl|F3!0lhY)`xC=&)~tT~{^A|idEZ)&!Iu8B+hPh#fUElD+tR06pRMBgW@S+UKn8r& z*=aG~K06wC(Q461sXVH!P%BM!)QVWZ57v{CPU_i?QA5MRo*75Dd6ppbS6iC*-?Lz% zFt(ZyxQFB|eAlyoBzLyK$~yn8NVr}V)nz?WAKQNw4nH%So$lOdd6dN5!0|@-VVQJ+ zs1|=pUX)lQ@Rn)bJ{{W>cAYkFvWxUQ8+p&|k45>2d|+|4Px~W7G1yg6Lfu>WX0=Pg z%hUY3)S+6c9g&&ralu~rut@r!1O54V1c{lzNNjFVzwJXyJ#JEb6!ZM;4) zBCa+^cTs(v#ZbBJ7AHkZONYpU@f>HKh9L62xT%yXiLcLAWoL4R%G(?`@Wl6wS?a3e zL94j?>vdyp`wpE})&D+Jt6j@G`lKMJg*(2JGs2+7{otT)+UpSwhqJ=*ry>(41kPpF zr(VTcoc3tnnM&((Z#m{w)AoEvex=$c!KUhK>YGoAZ+7W<1@7uPt{1tUn4kGlujNV4QWnnxK9GHPqJk@;70ZZOCY^^z{39regCbfPDU*p+tj zBZ_P$&i-+<+bY?H=N58Nz{kKtrJWE;j(?CEZo87x4NBui{Z)XMfLG$Dj9p^$@83vw zDvy^-r1tl)^r!(*vj4%gwHG4~=$~x`q=~_qC*f|GVjz4GSIG+p}-Nh}%EM^d0+VZhz!g zXU(SCovDto*xM?}$-bc3=pnPKWhTUWr;z5sd9QAn?aU!%Zry9A;;EsXmIA7Gqjn8% zkX4>n>Q*hN=&YQ1(*7V$^=Ow(cL_q>wYa{*dUuq z6nbOStywU>%T&*;*t>%UB_{`0>CAN(f)rwICwnMIdxq3#T1($NV0CB(pX=NLl1a4p z%FZfEpz=jvMQ4st-t1F9J0obHRQ)zNNWuF7{a1w*WCb39-{s?A;;{-BH>AFMT^xr-~A%NRd&mmiDg(^YY z?BtoLg$Ka-dt2*wr+#yPNNLa5RFm*PeIVsUGiUM))46SB*O@mW9G-nmoMqZ&i8edy zE`9AJP@uj{S24M?-=8qcF!wuu{mGw@{(9{&5fY|C<-{n$gJZrP*~Shlm<77u`T^to zo%!**Lu~=V4_Ahr7H$|l6n6Tc^|m(!C(DmsXPl(521yb?Q4{RBFYroDWKRgU%uV6% z5AOArlo}4f+RiVWY}RPMde4DNhp+7wh{ZNl%r`@e`M5WP?LMNVD`G|ptDic?aUkMi z%dcVu0t}ReEDpUI_1iV|a~t6FzGv=y;qHd|lvdWFja!(H)LaZ3HDT40j_t9q_!Yc~ zPKtkf#gx9}-Spc!?N;AsRu+tFUc5TL(bD6#FUB3(5U4U8n+Dv+vot{or5u>{tmzMB#K*4I~ui01mMsr4n8y zfw4^y_YdG(e6jzt?p!AI;Ogq5(>M3-N+hC+$nZtSb2?jK?$4c7=ZqlLxMw5<-)7#4 zDjm3jdK-?shc&Ghd2KY}=TH@$=j*Up#~c8m`U$>^bCaLLG$MiDY@4FH1HNG4$)w=9 z2EV#?j4AQ^$sJc80mnR?N&Q$-4scUj6TKjjsO9&atK;E7?SR07nJj*~I^}TQ(}#8i zHJs+8woJ@^xFH;!1wJACW1wwe;Pl2odNfX2imlkv%q{*006<}--K(CFB$2Xk3=;Q9%R;~C`;7}r5mR0n4# zl+us4RX&;SdrgivSL{SeuE|<=APJ@|NrNeKI9h_4BX=2s*7JH0E!IKIuWbaej*i~; zE#jZI_TX162%wS%o~j`BXGmO}2YS^fq5i8=u3kRSYKa>gA7nGE$2HRfY9ZN66nY~o zVc`>89J07a$>ov6>>Rsl3oyZSpIlWNSVA5Hc8;)oUj~Qy%>5vpHOuUb4o{<1mfgQE z792PL0~Rhx1z^MQGJOZ#fNHTbm~K@+)SUT@o#6>mXFLgA9oATkQ0bdFu)LWtx>LH0 zFQ^j2QSA0+3WF<(GmtNMpc~BnPh;y~ivvL@wgTQS710zF-$2f?kV?NxaHhG7{q61A zIOT<7*%X=Z<6uL>LCk_L2^{%xqf)T509q>p@tb?_29x?B_^_28u)ecLS!N(n;rad% z5&(YeeT10 zC*h}w>Urp=0V&vhp_Xje6k#BN;b%X+|1pGNPPfYS1ix<+NxesT4I9-C4>a7U(W(u7 zVjzxX+x8@J5q7MSNwpKCM@si@}Ki*=HNx~S% zRCvLsB*qBq#w$VP52J;8Za57NN9`JI$89rTrt`p=w{MV+o_X})C#O{IPTSyt5EwS#jR}0ZdXK8tg@rYH z>A$R3U7pVIFaNC!bo#xeACif?o%@KKdH0mzK%RSgy;zdL+}uG0Pf^0!lRp{q$vW2= z(})6#a9OJNYYEW527mnHD&6Cv&oKB8|K-g4XVKHB55rlc@y!)z5qHl>4fe}?l=JTN zMmz$Si=etYayaMFiMnBMp%MIj6Z}&6j~`Q150u+#L3DZi=X1}^j9-G+Kk1Tb0n9|4 zCdz?%UI*PrDkp(>lw1!aOcco;#y)>_;6x3x2Yzng_K&TXL))1wg_np&(iw)xM%x8K zW^Bs9F#Er?-CgkMs3&ZB?1(F-9=(omC&>Gu!eXGJYZ*=W8 zDh5F7<2Z+kJy@Dcc>Lh#3Cu>zpO1NmT)Rn#_{tZc(NTVy848i8-i`Jpy&aYot2w?x zH1Wp!>~Q!#0iAlGmc#gEfi`6M7XUR%y9%<7-i>%YEtcDpK2x;@3SPDkoar47A`gE0 z$8>L@Oy`L^1B;w_6en}P%V_NhA84gFuY^77&?+G<44NjvZ=XFCxSX-m9e}KG3^*1* zXv3=^MLDa7dN7D1jp6?)Y<{`L-2;m@;(z|ZQ44W|K5Y@0gi%<3tr%5vn1KP6|pUVTImR;zu8qt7(~V1d+0h# z5a?LB^{zB^qyTPB6v(!Dh@a2{3ta=90E&u22H(P$D^-V)!Piqa|8mcwrWmaH^mq;Q zsSzl3jjj3yfF(DAo^l})+D^Q}$Lp`FkLnvKszUpju z9bbt-@GyvG4AiEY6w80E`GMaEH<14?38WQm&1cZcqi0ey=89lmC6!bhSqfyq2yU&k zvsK6vC4ak`cH!;x7Rb(RF{G5x_k|eK@KRSQE1H^E3ea)-{jq>cOE7JLEr$|SZ$TY$m?`*p{k2Oj9Y_69i!1FSTSu5o;unAlsW($KMVDa0J6n|x z!YB4znIAh9*tl}*pJ3s62-I+gEbm{I-*KY}!fVpVTQ0+kd zXao*j*}D0ro6={AjzGi9iVTzeU3K^o=HduT48ncpMZ1KXlk~+2H|{U+nBg&&L_CYK z1-0cIh0I?<*+Fu(?Q#qYG1{%aV*h8~mlGfS-oGJs6?;5&3O@?3`ikA%-Y;7yABu$f zRHG$Rc|FD>Kr|Y-@2@C{8uHQq8?zr_l{r1Oz%Tu`^ytPN!|UI0dVgybP7ioZI|Jat zr%Cl|SBG&IsvXkx@u|6Iw0U`ZCY&6EYnS<+uWL18HpbAG{(AZRKOqtMhuZbOHD>hfOjLG)beB(Ei6HFd_GM* zULR$icO#+uI6q*U9~JXoWC*^WKV<&igQZ1$K8bcoQvZ>^Z8SYl_Y=$n*;cIQJ}m*z z6>Xr$)uY-FIQm^yL-QgC*^e)NAE<+nR~xL8@(bXPD-{(mx8^q1ua}ozL14H$pYe`c zPJY$=zKNfJ3UuA8ioiyrgJ8mBE)G6H3ZAZbcFTaxV=F+wcwx5mrPJV19DUD-9sXH% zIb{8{7u%3DLX-1cPmwrSDJfIfmKgC1$~?eS#%MRb?VJ{TgIVThn!?b5)mWoMFPN^= z>0LMvo8bp63K?b*R3R`tL7~5ktLu}iX8Hl=Aks}=BC9!ih6UljzWlf9m+Q~cK@o^d zodD$xp3Z_VKYP0Whq(IRI}b$D#|0k1e|+vz8@~!HB>JnVd^1=;sd`n~e%R6c16?p< z;a>)-;1dEl+ph{t{QhmHpFkhO+%F8M;z5IgI&|VlQ;j);Fqaeb_6!HZ2+yXvaS*4Y znS%#*8bi&AkjLcb0?0n1Z~?$fOs;J4$G&m--vz2ji1z@6HLytZo|(+jC1zoZ*+D=D zk6?dW4*;>&R@6gao@EEA%pl}_#&gg!>NEhYc?BR1i^32d6+MH1J+js2|JXPo(2Vc` zeNu2qgT)?TSG1oR3}ACOgsnC8upc`b%DDj&y~0x39gJ82IIJ_)>0$)2OM(+Xa&+ey zC{V8&gwPEG;Ym&JpRt5V%Brn&3oT4<=-y3`>TyFzkg=GUxn0Qn1?Y{=yn|r{7ptU* zSg!>gpbS7nhCuaU>|U=24GznsWS|i$T0?neRATalFM-e%>ti@EhspHO`1)Hfs5dpy z5`#1g+S~Mr!QHNHr`sFR@4_7V;L1J5@r18u0?eUCw4Xt=`Q+ysb6BzM=VFl_9IN~Z z2n-IkF)=ouK(v%A#AOG}g+c621TA^BvaFf$dQM_HoU7xedk*6~pn3K0CkugB9%&eg z(%PJAv2By0L8DAxpiMz>qzCLpTLxRwI>Eh)#IhhfGittzQ0L~Q#~9Y^+aJ&m5&pnH zAKS=M#i8#lM5Wcv!C;qizV0eO$mvx+kiha`J*^IcDI+v9;rZhNj0+PkV`dhX)|?Akr)3eRnYXYI z%1*v{cd+F&3s2QjGJ`}qgF+s|1(8c?EOBoNCNLHWtR>vQPQp}iu)v^DV^tfs0t>^| zHU{T)$`lOJoB}QbWRDacrke#lymKULaS4G5?5xKFO6gZyuQK_u@c+|Axc+Lu0m20s zi1|L!aMr}iAsArUKI$<-=CXBxD13U;wgno=E8yC3ny%c2f=AH~ze|7+P-0k~k1#^B zWy$1gG)~lruMo?d7!k~w#U!{J;80}Vyl;s zyux7RO@{;h7K7f5%8hCL0UbP!5iUSzo8to(O#TSdj@--Liv$RV{E0>g;UsCZeQ9o1 zW=ifbIj(!sN56ZrWYs+z2@J1z&DUcELpww^P46iT8~w^5_)3lsX1w|J^3<~On>cWxRfz}9v|KAw=+XqxwIDw&U1Tv7Wj;a{*K)!WO&yh%}g`uMl7CDaL zIDMh#j=tEB{RuFw-unt!Xh%Q+TL390POW7heC8*#_r3tinK51R|MB{!E$%T`HYtTk zkPg9EKtA9ES(47Rbv0SYGt-fw-*;G>?}-9>^AxZ#onSZ7G@Fq+SeXsq!A`bx{)DNS zndoaR9)#aFCHlIG@Be*p;^SNK{4kF(TQg2nUKsUs&}VVvR82S&DLGU7BTl8S*!8<$ zRoT4?6G(zz^UMF-2-WW5@EzPRY%R1etE~?xKH& z&=iKh5xTtmH-g}ui$C5GjxU#y@UQ>AJmK&0!7_yZ?EP%h7q-Z};k1Zv7B4}UQ6o8+Ln0agdyQV{iLzd>9L6?3?vA2xxrj$UCV z3qPP7ijGyVyjO7}R09k2;+Z_+OgG(y1&q5=D~3e#Gp}z$Ax+S<4Gg|#PnV5rn8R>s zp9K2ZV>DFkSpv>+I~^#Y!W!kskE-YOx%*%rf&4$=S2TDSt-{{b9A!t~Uj&R)ca82~ z=1cIQj!r_Mx9rUl%FPkz)M@03Fg=XLu&hL-iRgPfTyX}cm&^LefK!o9mo%N&1a=sD zsZ<&S_JUP-l+88!4W7EEhjNEr!} zr!>ON6R5TnsI2QhT(B(m@T{Z;0r&Gs?&iIk}QJZTr)DLFmaHrX#^Oqu5?{P5n%o9y8+IB5`bhBM0Ad`@ri z!=z{lu|l3QwPWyG!Dn8n*=(JD>x(g(KD4p<kpr96Ed?8Q(0Nr zqGLwav3AK?GhUCcrnXW4csw)1^4LPnb7>Ll>cAAMbDsb>^g8ukQ`y`#Sv}x$EPUSN zJ)?xBOcCSV>A6diU;IDCeh>!;v73>-E}kuTR`liN;D%>VxajA>f_6ELUyrL2ylunL zO?Q>U9(rv(dz>jKXCood2e~YiRw*NHM5GkVM|S5=2^H<>W>j#JNpZeAxMb^fS&c>J z&E)l^B~~%!LWa>;H~~VvN&eNr!*wVD!@5HRKG0YXq8EM9Kxk=BqmdhPW4})qeiU+g zU;)ckcnKYp&HxA)?1Y||uzV#OK!F*v$cZcBM00sNGx-s-)$3tC?&PP3IT8DW*S#qa zvb#x#h@Pp^t3PP)(S9sabv^oN%6mq@j(*mn>s>HAEC7wSb`@ZllpiVjUsVtO%I_CT z65$KazHaw}AB1`rXixl@{%}*h(VC9VBKfNtGDM$xAa}o13Q4?|+RYb^%=#tYd&W^$V8s z>X&PIz)S#<_91NUDcbM?OE4I9PXa+A5)GIzWH*Pdo;-Wz-@mDaL|&>Tdn0^%Ab>#6 zyzBMAys-|W7ZQ%Mz%57?fj9J*X(IhY`2IhhIWA)sxQ*j~!>0be=KO`W{gZ0m|Lq@^ zHzvG5Z@*$JOyRT-#forb&+fYPY{ekjy@d{97cn|=GyoVvYX~nBUPgE^pIWhAVUM>9 zDuV0&_lfXv{Y7x>Etv#B*XM1=&gJhDn9WzLM;I6qUGJ=Z4WQG~xi$Y{y-9)^h$u;I zN(jTIA76i_%1kd2MPR?bt3Wj2MduaKQzv+_J_?a95B7D#bPY1u4?-D(kdJi@!YEVf z!qzx`KT%v0&P}pN$)Wpp(GouTmtlnhiA?QeSTEoCMJ;_F2#$iaJDd0MtL^PBKhpyG z0YKaui4_XuVxd_pEP0;-*mPv_p#Zdkf2lQb(Pa+saXqZ`33VDcyH-^GJpQKGW4~-F z1!O!cQ3YItVu0jd*U1Yt!geHCI?L8o0=`cNj?h1%04RKJMG61BHp6ZD{Q9ON$6B%l zY#7|)xL>}j)nIX}WaNQ#EByYZh)-4~GG_yRjOT1b`jG^VpxMeX`i97id~eyKi6IjGpxts!~ zU69wCL*6&;E`<#Zq=h+{X@WEFEovQ8y4L;E-Tz1d;UV|?W``9Rh~(QF;Rq@_JF$Y+ z-U#Eb=t(_-0avHu`gze(sS9d50T)GaW`LJp^DaLD@}Y z7}k`N&S7C6UnU|N&mRGaM@ME4+FU|rk9iBlT`ld5m5;py%hv7gkASK+%*4x4KsMsd z5|_p)bE_pp5*lrP9AlDUI8R03QfqU-f+brQ8zRM&nHZvp(blz)I7bU z7JuCJQ031_P~gmp^_LN>0%MtQ;djT9H=a<`l$8VrP;=ByAswy@4M&%?9vgPO9e~}j zXJL7q{;IYiynuOJ3ry!TNV8C$dcq4at2qX~XoZZ&Uk9Sgv#4jIxc8%ePAUOfq9y6? z_^}0(oVEYP$Zk41JFrmk0V z^IyFSyKf%>@}Nu|V&Rxs)BRY%x|z7~_*1|I>Y^&AQ|}pR!>*W*E?*ndcd#g*NARlv zn>sGN>GSrh(T)gOC9`4Q@4MF%4{QZ+boJJdEoWArmQC5T|I~_Y;qMff!uPYEmJR2W z=iX2BZ#jAUmkm-YZ@H|G-+Dr5X_(mWI}=BgDDUbmkBjM|(Go0$;$kGOe5siI;PlR$ zERJ%a!dVpOrM>cp2kVd;7_P{xAft{5P8smy!6%q%c3DGZ&w)aN_(akx0ZM_v%ggGX$U8a0QhRZWQq@2Ui~u}0ZW;{a(*OWHJ^}FU6Qcw0 zk0YYfe)ys3^{}%G-9XN1{r+vBb)-4D6)YiJk{W~AC5jsowtaZAN|wWEVf#zZ2fJ?X zlk&IMW9X4%#KM>C%Xz5(w!kzKiM4v(3m+i?Q^EW!cPB1;o;xL zJV_!KU;W{NMxGu+G3gz55d0+GUB0*%yy4`nA@ouPl8GbhaThBX0_80$H}PtYy@reB zXQZ@}e$7Gv6AvwhC6;&81o$HASYFn5X+C93JO`U=vQ?6W9|YESz-NqW>37xY z7*v%VsPpjon%%i`Kv%MCIzzwf7VB|+e((uBE;7&ZJQ;folT@cCXbT7rbVK~`Xz=yR z@^>SY*ZMVWCy)!H)*8}du!We_z$}vr5KfE(V7PfkEg|IVn2*RzR7aI?!0L6nB zHOP9QFChvFQ%*gjyNDAaz8*wwSby)pR^kry1>YOAM@E_kIjb^iAzN@dfmkdKi89Rboj&VX0iHI}zcAlStFK?Rg6#kw^u z6=DI=30Ok(uFIaYO8UJeTF~@Nf2DUT8kSB2FY1Y{587&Dhl3WBlZik?EJp0hH?DF4 zj#@fgghK8vT+i?|vSPz}C^jjTK~cA`ieqlC?A$i9ezJ7XHUi9WVb4QZUVR|j1u3g=PjgK~kO`!MbvNKPNP2zguky`qef54OXec)t(Pi?#5THYLXOFoxmb6XB;}p?Fo8woT*A*YwhbtyAR#Gc#bh#PB3R(Z4z_GszIFV zMjFae*4=pSzwRj8?Ibw!L2C&TTzgdrGEcM0_*~V80oV$rePI?rnNvR^2w%aM=9LZW zF(sMVRkH$AikZh7;G)E;^=yOY2X5Wi^#G`S(O5}vfx9b0DO>&;EPWySnB{|5BdD|F z#Lb0YVLnesfiz!QDbz~}h86dY{4pZ_$<}yY-xJD8tw4kgg>qt~2#hh;*B9ydZLir2 zpRtsd&q~B2mELO^lCLsdi( zDR%l$!f1gQjKgCAgVI=ztW!wOvgN z0JVYTtfOzwpU#jp+RQ8f$wN$;hEA14=uQkQ^QhcEwl15yed~*B z>vl(@oXZ6)5!2CgeH0`y>T)-?Gz1tz7j}*oU~Y7L@i^6Tq6>y#=TH$$KORZYf@t|g zI<#V+9ZX|g$;4VY(a%sL1|__OdNdz(i1|b#TRq&AqDv*2-iR zS(qs=Q*xJs4m{EzjlYEe`{?}aGs^f>v);TsP@Q_=Wk4zfHoEs8uw%fd4gudR+mC>c z{v>xC3HW9BsX+xi(gXH&r#fPG|07^nj_pFuuu8bu#Yu5IwOu!IXg=uASDFlC*PQ5+ zK?**C?{|B`VJ*M@!{G$&b|cOuCe?8Q7f!H>+MI1&LZZj`9Ncb2xc~-hPa4dM4ZGnp zva_LnxHpj$uvt%oC@=r@7?hvQ3p-_C$ziE5n_fM3Uu2&e^H}KTC-ZHZHI5(*jI0=eZ&{HI#{J zi7WhD9uD{Fj=hGxk33n9r=|t&U2S4x!mF0SCntahhOhs!sNf#~U3cqWN`n6v{r&AJ z_#Y7nQw~f2KjAK|MJte>J?^(l`ZdBXvYpTk#JO;2ftw zrYR%^dmRmt+oA+G+T~aXCzd122iN|#3*fTwvV*I2S3kOYVJrYnK#LKuf-I#pCo7}_ zCMyP|cq8`MVfZsnU4}L-V)D$-1yXt7@p^Jg0XbT4fqFiMtKC zjUck^>PH|1A%QZIC2n~0Ly7MF@Y9c#YwuO)CNc`lpoYb}8-4r!*v8QUOsQy^H`up7 zu}#3LNk`9bwo`#~uP-qOu6~Kks;_haIwE#3Q zwuDII)}_3NSpq*2{|_;^mRs54|rm)Ln4wySo(S^nT5@vs)rw z9yd9k7v((8Vh=vmHY58sKVdsNyzojo_s}qx;cwz+@#yfA##&o!)y2mj9Y1oe{yJ_^gwk`oCEn6Vddn! zLeEVC|>A#lVah7kkpWV(vWWF4aYi_a3Iie)XeC(3R z%mUOVijJ!V)-kW$%zC!a<1U~uhONz&2?t&kP9fIwk1zcdMZfG*DF2OCAO)el<`(*I z|J1dueSl##{ZNjXQYLQ4Fzl9msyBPHJ-q+0#`!xQxMWNDgR~OX!=w%C1=pTrhQ}&a z$Xq$j5Xdn0WJ&ai*GV58k%Z;fFCpn41CSZkcoHNGVh3Je$2!+o5L@wk8G%Ry?8!wt z&T)7_a2nML0Z_-mDV!xd1HM?@fu97@-WABu(ui{?v!0m+M%4R1X;5Yq#4dqd{WvYa z7M@C=s>RARL9l9seIF|ua2T?$SK-&K4!{`0JgM!sl_!ot?5ve2?cD;{R)Y3|O6r*z zDoi2w+<7xLjjbDbRr6hV7{OaSR5+N}eg-6fIlLo|94Unl= z&ddUK6E_6*Q+ZSt*oCbBh#h^3Ym%ad*FKp#atX?(saWjQ``s53ST%@jlwb~1?O^{C zm`d?qfQ>Nz#9~uZy2cF1Ja(odqvEwBBQyZDtGw|2>nGHRsi1{-EKupN(M2l+u=mz( z+4WwV&LFbd8*jaQkt){RxC9RV78_Q87~F#jrQX7gOHD~~tw4~B*$rGyb?xu4=Xw`N z;nN^{F!79=!h13`m;v`|7B z!AJ*bfl%-BGS2L?&bsTIbI-@SKkUJ!K=RL9p6Az|cI0GV1i~<*?ufL2-LEyM-wUxY zSznn$0Kgs81rbog4NEx67iIxwfRS4o=v38WtEe6L`-q}@Pn{UfO(m^|D zPjP5yT<3`&FMHFJ*)q;11Eo$#cwu4q%WWAP^Y$K{6h__`)2LUc76Q$m#h~%5vCYeH zpJ>QLG6$bs*b|Vg4C~v7!gVG(GBw7bjpSQWFx~D1@@kn8@|+Hdve}*S ze;r})%vXTv#36#J9X1AKN*ZE|IB|OqG2caZ+wK4Ug>H!MkrzgDFf%~RCxNacwL&oE z>D%6k`DK<};EyBlpRdTB9@{74lE$u^!pkr~!@Ta?S72D3 zd%eB@Fr|u`*pTs5r$?|u)jD)mL1DM)Efw3;MA{lSLBH=7j_S zty)`>Xuy*}qnT zajm}ajxO&|>1#aEbQJXN{(Y zxR?(3frDad>vCUPxxIcCIVnGOtMf|z4`k+_uk0o&|N0fYJAV_BF#qs;@dI~+xd%~k zWF9#Q@_t)|!|xPUB*6rMIb|qou6IiU5R$z3c{EN+Re>3B{N|{9%^wRZ29}k~G%Ts! z8b>(4)R7;P0Q;{U6koV%&W{HIO+4-$N!iRQ4EpP{B>(eTR3~h=U&~BNLt%7?bm#C9 zylt;Ml%F0n4|)rJTuqk|6IKXYu(#(AB!nZc{Q<7iD0E`}vngfGV#-07W_3Uho>8rq z2G8G5@CzIVNr_Ajpd9b5LZeh&0Y$W&)uF|8y@Z#3QzNzD?B5{T-(Tt98#;wPS+d-L z{nh=zi&0EJ%`+4>c$vTn_;IGQSwjMZ`C>reWQ^;JdM=Jl(V-mO-aF{Mv2y!cAXozJ zCG=-F79#TiuaYpYbA_2`_j(r)Y*veWEK&CB`9X zZaee^OaI;&!6v9!83%rnM0+OD|EoMAb_5WBR{2Z!y?+jBFgQ*Y78=ed17v_mFL zY$7L;Zl|N&{a;@)o42mN21lzf4zS&jcKCJr&_z|;2GrJW90~#Ku~-nFl$OGs5(PK@ zgE&}Vsz}9IB0Y%2>g~wYhmI3H)R2i6B0Zxk6iQaJOXfe$zGPL>kP+f!1tX zqXV@p=xUjAK}VgfxoOWs5ny_yJ5ZP;sM&+W08!p%3SsuT1+_#o$YiA9^CncYDQtb5 zuvuQougO#2a*#|k`Z;gvIvK(N`{%ne{$-X3>3&~>%H9q5mbbiQIR58Uu8%!KSMeg4 z2)Mlv|E+;eL0C8z1eloGw?qdgCfC{&kf0I+HpohB-zW)M0~7`(ymZpE=YdESNWt6T zM1GD2ZxAdHttc1^E@$vOIm=oI$K9s+DY`7_< z^TCZ^^Zn01Y@lmv@f1WerZOm9s_R=;a%*}~nkYK+4OD05EcfR;9nbhLvDX2ERo<{1 z#vyan%NM$HEe$w8+2Ml|fk*Psi^HL(Rc+z7AJgD;13tD9U_;`3P~o?B6AB($0Q{gq zEjVXa$%W*D*Qb4;wXgwepbhj0DkF^%8UP$>Ag*{74A>p;4BBB%YBD@z-j_5ef6`UjZ1|@bbegf>c`h2@-PmD;YLl}xv+9pRJ&(_bb zduLS=JQw2I%wu)LP*~E;WO=D68~Y~H{W3vl;p}d_FOqlVuZ8mrHsI7zR#E@Ht@^i7 zJZBcQAac$&q#M0A(9UzF!vTF>@a_9uYK4Bl4%)zRn>=&Ptg$yf(8R3ak|$3eG^N`; z+BWH9+nLpQ0{zX~On6AafB*9A|MHjfZ~t=gD%o>q7AGkB^k{~?hd%+S_8dW1oxf(E z4q+xc9y$t%2`E7SqE{ZYPuaXD>Q=){9J&0LSbyx6p7@?9bOSa11Y06J-}HeUZTsyV zgst7f2|uB1E65~&eCKcH5m!b&{0ZJ<6dJLSscYB|9Klq4t2=YE^J4k9C@m#V-r~d-waAayIDo@TABY@f+y?3i{%7b z@B(nB{B?}jpZZV7h^$%GhQ^`En?XiY(Ci5|!-1AxgVK3lDTOj?p1$%mLjq^CI}Y$B+;vMr)X-q79N%cK3Odo4lXLIy9XZz2zJ0zi zPr=DXMrZ7y+@k;HHO-lBzor|>E1Be5f72w_%_a>dfBNgz1Gz}@{~P*z2Jue_Ar$1; zSY2vLErBLn*GGwl^&dx&!M)jH5B$tSME!V&6y!rz5x{OZ2-F4`g6NfRKi>O0^xffj9L?*zjsz~m>jhL!~j@v(U4!FcfG*1vo zkqBKj!yae|96HSPb`ek8SHad9w|MFV3 zo_*`A|Bernlyaw#URYYmNdQ0RF$LJBc0U>W_zMJosG%}4go6jovk?Pbi37{=luTk( zVAAOm)VD>bh=C^uIOz=y!2nS$jj$9K*0IE?j)de+Ko+GCb&rr;RERBhI!kgdbu!yZ zSbK*Vtd2R0gx;i@!3~0~;f&C_c)U|foI}<1R0-U2odi5)&SQzHi%oyE0C!{7MIDPe_hHpE!>7dT`j=BK90Wbkr1fO4$O!61sFkfxl z`+whiZ=4_S%UtyDJA68N&mKZOe6GIv3HJ zjzaoL`Y04ZpDaw{VIk@CfVUd3y)Fkef&s+%FRnvSut zdLCU98|D4$eE1DLy1$Nu>J&Ej@<9gq>Ahjuz?D8GUV;Y=+|<#shdv*kpS1z${T;Na zS0PI^4oPiGA@x2T)WqkIz+@a%A!uyDDmV?JPY<9=0p$p}LR$+e6I8(?MFYZdi}Q+O z9Kf1C4&$Y5Z= zeNM3fmHaK4uz$aUABURA)XyzNDWks{zSYS64+q_kkEP))zqN$*-7=2dzZ03Q&IjKv zYXs#^vYIHI{_SXx*J&9~SJWv9ElqY8mO}Fwg?Nc}I0tkmE{Z$?G$h{FYyDd>7?s{` zgBJ);(E{L56#zgXEC^Q90ffxFXU2(g3-XEAhS}h-if!MykL|8L9F4b;NQiM^8&QEn zH5xkZGOaYtBNWaPa5N`GzN%wsMa?IYSG9a_ruOfhNFKSlwtd~VsF1#dTKR2%W^Xq{ zoD6}ei^W!Kh!hD*B+1Tc9o z*`Y_+BrhRwj#BFaSFH_n#yI56nN}7~y&`k)RV_`z zT$vB*LZk?=>F1I|I?eDwwDZK1S)eWr0eTiQe(n#R(b!RSJnB$x_o zS^K5XZ^Q1(qd};{Y`{CBqAF0N5C_yz@xf)JcGZW@tX%>O{;nX)e}nP?2|*A(b=h2H z73ni8lk=j?d&rMIq8?aq2*x14yz=v_+vz#A7GMBWK`ak#83sRfpyG%?K{?@K?o&Ne zvw=f^$0vKn!JU%{{y_ZrmeaM}J6?M=NV!rg{L;=-wCzMM%B?O2z#7T1VxU6~$? z8ZH9%5oZK)Q1@mp2(-w(8i78%YRdtX&DKnsh98c}*++M4kDKW+CjSdi#r{QuXu$j2 zvGPTJIlN0X-qXj{(n&)MYk@6@^HD`eZ6(bBcEYG@gdDXImW15EhIyHpj&h4CWak&+ zz|o<-9kmYB)21UMT_*;GezwE&8C>*1nWNd6o**uX%YOoFEV-m1h*Uuta#aM~c6c^h1(4=}y`9KJHog{H#3^M*x#{%AHJs z<$=d;f+^>NY%O4HrE8-3f}@aHq2;y;ipyFtz$vvi?$i_{MEFE{S}RZFqNSq>MIIKR zb!tNcusPeoa~C662m0X$2&s(r9s*8DbqJ!_kuEZJ#*pIfa@~oIYly~I z8|nbnHDV#|=cJEMw_2LVkHBMwM|wc)w9J|JhZtFEBO@P7AM|?5$P)@><(nV6w@`lN_Nvl%nt~6+JWWv~_E>D+ssOwceu-Lfl z|K1D9e1SfSL-yB2#0epe=vj^MH>RaT>*Wv2cnJW_^TG{#bBWMR4t`rtl|4-rokj5v zU4uOQp!jv`by-w-2Z)0^<+8i>qAWwT=u=cRH4laq(4kQoVw7jBzvSzrcDB~1tjr#@ z?`jh$($b-02=xQdR6Nt-jyZ-6N9NTM+8EH{l})v~EyWJ(zdI7r5$65JQCmTLyyV%C zmlI>Br;&ZteHioTh6LXWtXmKxCRcg+ao3#$Ns$47+6RiKo-<*7f`Fd%@h!9#_hj!2 zEI8JbIwv61*(l3<+GALXX5#dl41pt*7)lFP3PABrO)aXak=%sq7*MCgSIb#`ih(-1 zzL2yxl9}tQzu6d6%r6v{a}d&^rGaYPD;w;Mua&I(_wIPT`HI5Is}}bPqf&6vt(ELR z%sMI2RZ0$zmD30d$)uWe+&qK>*TSY~Wf8Yfi!!Adu;XMDFEur6X5oBebC)r_2qyig zmt(F7Ww>h}s`w6{pp~C;^roUB2L3|GmZop`ex^lXnk!WZ#c)_na=(BH>R+EPLaQhP zkce0B>M9(X@#o$s%UltvYGgP8!E~NcrJq?M6OK>2(BDMA8#^ukyTS{l&PcO|zX7#y zG1u-}z)GNb5K7+~2TMZJFgw;q6F;&5o6Eh#Cik%813g+3)(1CP!w>t^*|Z+e=Y(@N zwWHR09QYImWctKF4%cB{t#}6k0Iv1Nl;3~~qg?9Hzo2NuZ4BO>&M25+px9U(4`HRn z<=XEKy?h$`^z(PyfuD9Sx+YFL)W{6HR|AN9l3)$Q`$s|p68|84DjiO$cZkrl9B4#p zAw3WM4%XX$!b1_pLRY9Kfq*YQAOHxi=mIK_{}bN(S~@IZ0us?%3{^vp-Yewe#G(7% z-NSAJ3Wg{MCyHr@!SOGf)AX4-yGm&W!_s6(Ak7fUMN;gkB{*mcU7>`w!rYEv7D+{A zht+^ggDZ%q1*YK6%qJaSvy%vNxrUDH zr;;}Sj5S;(m)GFj&M_^7&j!v0Q!62efKu(7x>kr*T`AadEiJgot;pXX=$9YxOV)XU ze@MYFU*=l!7Crg?D69MxZFSb#{P`_-XKLB}m4e94rV6sjdp0n%>;qXf@8yN9B6imX zT6?eC(4deCijhVRoCm8wW$JHpoKQ2k*Z}w3Op~W?s9ixcy(+YG9{A=4JX5kUY`@#c zW-^ZE2KWGI-Rn9%FhjyH;>#(YP<~PAknh@+waqbEL9&P3T9G5S19O5Xem}`?J+XVxL11Bkitw0pV0kK$O9%%*Ud@z5<7MSft$?_-!)apV z_9!(k5%O8mk(k4vajxQmDzYBipqOQ(%tUB<#`k$O4dv)Gt*Kg5>EI=8S#_d#35d5W zs4IZh*}KHsO}7mSc_MzzGT8v;P*4(T`UuvOk|&)WLN)U9;Xj@a?K6gkt$8qF!`F^$ z2G_9(^}$8Avaze8gg`+*-7fc5q) z&9veXrv%;l(Nv+6qZxC)Wv%XAbdLmzGCOylfa$8U$MBqV@R2|6PWPXgxQqk_Hb^v5 zD>|_bJd~rGY+`mT2HLRZ8fijXfh&w%5cApsZxEK|+j)RAt7xFUxt^6a`WcIhMNn5d zTynCxE{ZbM#Z4RGM2VLCk$yS>0EW)$+OIS z0hdv`65nT{e`4)Zk5%+!fXGuTWtb6KYd5zR0j>>kxtESic@`(StO@^X=KrM>Re5MxC^5w{WY|3Ua9kz9+$p-Oe zdZiYnT|)cAly>bBv)*-6`|Sdgx`CHMLv4Nt4e`we8&fFe%(P!#QxsMcjW5{-E@ zs{qDJ4-XExv^;>g{EGxs-J@ahwk7mkmm0Cg*wwZ?`Lm|5R`plO*8lxOY~;%kj`{Y$=`%k9gW~hSVfO^?64P%=wmVii^FGZFYJN*()T; zuW`;7Y&m&Xeb&QQWD=!n`J03_I*YjGUiU3G(6uX)?q!!Om1ia2C)*9DdZlMImb-5* zLg|0S%Ml2AVecaY`msR=Jv5UGyz@&A?AMGA6;CF0lMd{6x{)bkA^2kF@bF!`p*FA| zJJsDVWVW~SEt=tS%FHdxY~~pfqPYx}KcSyqW1)aAqMU6=#=sdHrR z-zvE0so$XSb}tF3b9$oNi~37Tijxe_nfjk7@2;~h$U(hoP{lbd75P-VCKdpn1A5is zeXhgAmn(*bJ%Sn?M%y&c1|Fm<#h=4;aR|5(XuB{Z-W4ZlSuf@!ddI@Rq|HJg?lHr( z1a&!WBVYetD)c!3vhq7wgsZ;ajC#Yl5V)tLN7hPv*G+1}(gpeak6UD@QVSaFsC%Bm z(U*srYf0wqL~Ebwo0`va*!raZFOT=S0ZwLa)~_2ZRFq1|^W9i2^O6-2qQIp(xJa*p zHjmKIqlJdohB&3BR%Vb|8y}dU$w47PgY&7mS%|E#VJpWIpTsB4jWlM0=HT6UdFd6r zd;JAsWAJR=)VyGnwC@lC&o<-;3lVc)!J5=QwJ;ZpCsx}vp(#bKfBeK$8e{C+Ukr)4 z7g(+Gi&bgkK{g|zFog1YNw?V`PX5HxvC~5S0@h8)&*-MAoA0gAZ8RYAO-C1voQ#K` zELk|U_w5wQ&AbHui1^FY6s^5$ zQdXFB!&QxGfPhofbtz)QA*p}f+V`F)zG+~*x4G;PdJ7a5I?FQoSY7(G&=y7C1<86* zN7n1yFyFYW8$7cQ$=58+IPbf_1O z6S?S-%(S+QVpkhh;^}UT6e1Yi+w2WVJ<(B3`g&9M%xZh}KS>k3r`uww`O zf{}y^#)HE>s5i~uIz7^_5q?SQO5E##^e^~iSovbS-4B)BEgR zNDxleh42ac-U^?Z=?k02k7hVWK9wtXo=w|4RTl@*!IynCc{gC5SX7JTNT^tv+gHO{ z(fPUxMW#(nP61J zHW@$HKWagXm4T*djW3~w)h1Gr@#DnZB5b{{6iud02@iy%`PwFPlJLX^@@0Ssc(Ze6 zHq^(#Hzu@)kwQs&$+TAV6XSz36j`%mG)m$MrMv;Z1q6{Pp^mNo*Mn4S3Do2LNzeTh zKF#MeOZ2VZELGN?iJt{_*0KWxN2WHQHH1@ptp?U<<@ke>jV-Bb-)O;KE|VyRUXx1} z2(qWKxvfcZl$|#{-PmZ`7`T#;lQ-_Ri#M|{H1(lUvugX|@Vi*V?hW`p#~^7I(??A#ImZI#2PWI7 zTCT<`fLL9L*DzoFRvAQr9+t9RVC#XyXYPCY!TFPwJj%T8y{1mq49oF^~iQz@j4GZMoUeSCo?cYT2Oeu!X$`&g0EfTEPOI7OlyVx>iP7 zHj@s!GrO`0Xl$hzh+f4jdz*xn`@j4O_m9=&nVI9k4%b6mV>x7q+P*dVOit|8O`gCc zVL{TYxB*u8D+5@a8n2Y~z?sP=)0ohCcviMl%$ifC{Hs4Ck2J8eCt_-7V^huwj@-B= z29H|B48K4jvxTA{p?Shc%O4E#TVIF|CcTi$K55E%T%H5B#p%S?xBKRz z__5>&3mdFKLB@PRHQwKDEYI6fBmZy;!@%#vio5iOI*fje6>6?t50aE!f1|WjVlB;& z?mtTi&P&jx-eujf=ukGXGbPO}R&rl0?2M8Tlg)RmOV7u`YvxPnW|+u@SxL?dLthMh z6}p$53Qmn47wI>*s8lRlZC%u^^pc%NQ)Ox>U~Wo-)6|oW!Nz!&htQl& zC`glTbSS@9XY@1u^1Y-C?|t5`3mo#7UBzphlwB%96{Q5a52t!>`Sfg$LQ!l-B;Dl5&m;*SRRz( z-XSL9`b(DE(fviU0#oP5aU8!bpz4Xk) z)R%TlstXeu^AgTSWtT0Tz!iCW#Ne2!=MOV3y?D$JCQi3m7;sm9_GW%#?DstHIblLw ztHc9E#r(AS!nNUY_-E8_ILlWlJ z_!?tEYtvHRY4JSPZpn1^t{|m6GNoML%`Q{cHF`Qd<@~ig7xl)_C;H<_*lWjU`65y< zv5y%hx%>?6r;8vk*gWh>hcx*aN`};Xc8#W)cg5^52wl&JDH)Xe+ZJkyT83EEr8&DhrM#dkx1fwYY94$mn4b7x#jg-#4t zogrRBq(q5J^Vm%}!XFW4E)@sIY?*!!PVyTSo@so(lg>k2Z}>A6s#CuYQ`7C+-(l`6ewCTT>P+&cEoC=I0zz`5fr*r@@J! zeW1nSyp1pfTD6nWeIYxML;BPzE~SCU$Il)4gRWZE7%{lDk!(^6`gC&2VoPa(RO|c} zJ)WH@-Yz#vSxQG2+GKS@_B^#d5&B3`%U4-P_4lK6 z0>5aGZjIxnZ(^!L^Us}EWWVC?+Z?iieH4e3=Kw3xCP|MJianJZHc^TvNtUw}hpiUn z+WCdZ>S({LCQV;rI1qsiBKR179)c9zwRxXLiw!m*ix;%O~eMxYugGF`9$W;nA zdzql+%7USxSv6yOMF=NzycMDiaU{%&?g`8x&>xesbG=~#l-*J_Ky^I%U^g2FpU5Xd zkRM35+5z{B1c6#UBj&x1yXX*Z9>by};rfW)J)b=OVZ9cZfm3mQuBU2%;>A~bcZRIL zJ$rTtI}E0@!Kp2g^_#AuOsP#3+b7%_`ZRwQ)`clk8`Rp&zPrb!dyNR51G*%~w82WSV@rg`fYlz1=4Afa`Mkk&%2Fkv)Ah{-JWJ`fhAkoRJ~))sz5G?EE(9#6Y4 z`N>&fDowTdHsaGthBz9V#@veq2(?Xq8Mz92AzzH3AgWCV#Z!gta)<>e<_*OU-Sw)k zLaARFLf%aS$K9Xx$fiwx9y{;mIbWyqwaHl%w_s;i8CY;YIg~l_unS7sFqb!||9sLZ zG(y=|GHvE+iwABdoPS5PZfB5z^gfgo5Zz@lTy?%h$FwIKX)&dFBZL;ySl1=Rb&n{2 zPBL>*ZmAu)cE)crnKQ>3v{JV*7YR)*M-`*C!bvM9^J^O%bJlB|C7P+Dl0z~O0$N-< za$5D!5`#Q%6+{s>f72|8c59SEu~|uk+pc;TJ&mlB7PgCHZF(DLS}M~71^iR^qszPp z@}ygKk4Vqgv3~8g={yMSK%#p2vMUZ4r)wL4C^?FM)is!}YtxaPAI(Feq!0K%fJ!U0 z9jMf*@NrNIUNYubeKYp`AdUtIdPeO?d32NBRBjC@Rx>^CI>ZMpX}Lq)DN)8=|7)d) z;V*|woRPA>PWUU1vR}HGU1#!}od314ydDXnui(T(r~Y7Cb&7ldP=D}SdY^k~3ftSQ zJhR@NClC+2jOwt(AMkr%3L8o<%yAMF)-7F9j`vGnFLtx6Km&v_u2K=!k(ys#dCF!1 zRCBe4mS!K4nRB@O-8?szy5swH+P0C6-!yAV?~n=GvnS?{;XOipH@Y}9Q)~;f_8Y;N z-)5pw_|M*Ki>6hp%pGvwRhWe=I3(V&+-jD*P1q64UO{)-HPhIPtRha9~?|EWH}&mz8gY3+om?W zpIsu3O-<~1>OGa4p9WE`@9t4lJ)-hcDL$JEU3>-u*`h_`V|Y#1$`7-ZeSG@{%34fg zn@$x&&m@h39;KO&fbx4hVID#;mY4WCY%kUN>*UmCvEkXg?KSR7yNNYu%qd_n6C?V5 z1-Pw+uL1cH@W~%}M_#dVWbn!|nKec!UYj3j#+Oeuh->yfmI2t!{!=SVvM?bew>t7p zvvZeoH%U}abCEYdM%^S4HZta>;hv&`kKS!ky5d!TUGm zl_S#FrM6mI_yGyD@S6y&5WQjXyGm$;k(82W7Mod> zbW2KQadl??BP3#Md68|`J9tmf7c(%}!P53ES}r1#=atG-%aHZwxOX43%iKSaR#no$ zN@>CLmAmb%ubJWZh=WgIsc)ddOluQ|Ecq#-(j|t-T~(~`{w>6d zW+2etMv1@uTUX!a7GM$TXedDZs1T0t#MngH-wVck4`S%^ z2;(x6r(wdxlwv?ZlAm&ua`ijV;u$2Y1Ep3xzE#v*Kfp<^4C0@i2@G+hOOw(xGXrfW zxwrJ~Zi#j9j|}MH=NC9G{qo+md`)G)?eqe>P2kkei9u@0WWFZzqE8QH?aYigM;>g2Q=~l;{z+U8opoH0}HrIEAd@lM4lMovI?F zM+jO}{IRf;U8k8)Pi7gW+D1{X7x(Sh;&c|WGZ*Bl4Fi#fn56=@z3#`^-Go)H13P4t zYi?9mp6-#>iVkuQM$AZW#TdArlQHl3IO9FQU~|OB502V}r3~+gfUc@N(r2yF+o>tz)vcMb3I8(W9gKXrD#S+?itjATI4v1u76^{Cp%?ATv4{Q?(=7wiy{ zG~v)SlQc6yOKJ&R=#b>!QCX+~dIe%zgyy6+iSK=}=hwn;12jJ|rHE2>pd zRo}3Lh@_@(tOtha?r&@hyR_f@eQEeQ&N2mo~>lTGLTon$@-Mu&?i$yC_5*Qk-e5$axvaaEr z!SGGn54!c49xn!aUw-w*dz87o^vl=xf9N&JdEf#@YD?)mnjx*|_!FXeN^a};t~{en zOpWS?_#|9VE}z0()e4H&oRqB{P?o4%EN|F$8x1=;}wPa;c zg*m>Nov8lgy7a6Q|2059YwC2F=vo>I*k}gCt6At!W8&cs11q|;cxurF!ue|ePM6GY zA$^eIIa$t1+Kg~hSZf!@BX+&;2aa_CM;+T#E>{n6gqgB$9G*UQU@!K{6t%oiQmAbC zNNkTRpV!3?LtomCX=XaA5L?w2yp@R*f zwxD(A5+duIcWQk51~Xv9) zlPTBpaRDOPRTtkB*XTUbls3f;X*4#pF^hA%x;_Z9j?O(vb@Z&;PxQ?dz%M`~T-jCZ zdd7MK#am__37hWCKJ60PWW*2|Bq|k;-=KOZ7ltEGTJAz%(lJtFmTk4Of-n!A8Wz8= zZ{o%|T9{K+A(PVyC5ts91FX?BPOdv}A@tqcYj5tai?ofUo^LS`svf09??ZWZ?mXQI zy1}>sk?+V>(&Q~*{5EJ*vN!wM#Yxf(6}f7}CWWrf;6qPjf4~ce)Q&jRgE>!D5O{sT z%NOm=@}=N5p~12e34YkHV$i|rBJG#Tgqt3_SqWW>iUn1ia4bRu&n+#g?ri!X?42l& zUuv%ry;8;0DAIzJw|I^nxgcKZ>~AvFo3IcdaGA;wAI3SQ2$&i^+9^ullLiPqev{KF zkms5Ad55w}sdQpLq$nFdTB(j?(!P4fy>o@U#h2|Y1{=Q~%XzucCNp+3NA9tf%Y zJW?S*a@@C{p3|30 zd{NZOw6vm2L-+0|<0}iE*N&}0s3QI<*30xbQxS-WD3%`K%I75g$Fr{)DLfM+S-eU{ zj#-=4At1Z-%Dpvj6jpscJy|jDfPX%8o?x1I3KI@S{Os}Bl|;}oxw#wW*q;n1*-jla z-JJ6^s6C5MB#js5b|c3?3XXt~h!X*!lQs z#*y-H7SW7}#bb4(r5BtX?n+ozx|w(0WKZU+mzPbwk_J~pjNb6g?g~14dH$9RF7-}S z^tmL8i^qq>nlu3#1t))?;isocV?O&I_XQH{>0AnIFXyZI6@9L?1OyL`_eT=$Z1%9p z9ElRXP5dbpg`BDi$(EicwidA2UT)ckhPF<5pNWz?p1L4Ef9h0G;6gRNCT;#-TDqM> z!~MC%J{jJ=Y=yYlQbAs>`iAH8bWQp$!_9wrwYiMx2ZnUxpu_#jXKWtojLcr@%Us%< z{c@hN_Kp$excN!3i5RDHr~1qIHcp5aZf;3T3y^Xb?4B&yW>Ds3SL_`u9;!D zbx~6;Na*{>7IprF+q-w4<7!Rbq%9?Lab0|4$Tg#5|2-pfu#b)Zg#K_#pk;_kEM zh)iHy2*OI%PDht-fjpa6Qj6HZf4Qv!mK986uF8 zQ92r4U00PgXV@c%w5n<%St?I#vgZq*v=Pn!h7=fa%OF7MUtC4gBg#UFzWiH#FdkhW z1&L+W$dQc8uy3jol?*hf&I-~u?UsfwXlNGXObd?`A^q6e45_%6JkO*@M5kthl|ID* zjWD!K4jQ>xfjv_z_znCrMmo{CRbh(K9@I&v>DMyzln0SM9tOSu_=x)`*MA2#uJG!> zBF)UA$gzMiWS)MvjNoZhT`Co&7_aw;5ROm2A=AEl*CIpYH1hyI+*H9ri}QN!iix1u z(zEp2bg23;)nuja@rHkV=A_3j${7xu4!!S6&Jc7QTA9DW1Wmt^twyOfC?cZ~ST$8% zuG^1^n063hMV3t7m-*8@$a}^QySLJt>&L&~Fcx=c=dOU`)CN z%Lp!Zpy+Vp@@S<*Naz-+Xt&iXX70De(Sc;oh#={S1q<<+tc#9EEu6Z2T!mw2e-^_> z2V#6HZR|qH4_fInYE2%w3ii?^-id94)Ib5+$~3)_>Bk1!qKvczug5%}>wU1f!cKSY zh_Y>b-!n^X@?pC-;t&g_O%XTke#}cw)v`cI$E<5a<=OKhn-)g&nPLXY9a&3Em)aPB zll_ZZ>&&%hXFjcf0;zX+X+DwHiMJKtl>63FsdqM@HgcTvtPrSYzu7f&e>{}*j)?D! zy}a}K?D5eu>Y#7Vz{Mdl-Q5d`;CtUbn9gphe^d`kwL6dL_xU2Js4FwF`BVA1(g~2{ zBS@qObytpf)X$FJZew@vH!;e0;2gcxR(ZqQQMY?&zV6aflJt4A*qknGj!(gulxx0% z{X9mmk;X7-iW1=TGxJVj73o5yBjr&Po<53~N`DxujJ=Y^YaFTC@xBA6$Q=d2nQ%nw zmLxIrprGIXW(NmT$CJq^+CTPXSKFcrNgWEF_SZ%g@J?i^YRjS-A}xp!aWcP zpF_?~&Chf;$nLlL)=;cmkwdodT_;*U$P8Q=_-1Aiz-_qJtm@M?$daqP4`h##iDucxIl3`8`1XLFiA&D$z6 zdx10Z`EjOOrh{!dzBM@= zuu^I`PlEO;Nw?+&R>J8x%j88+5N=s}2f7`vO$#hAT<#*Qg@-(D!&=#I6&(%6Ucjek zbt)*jL+nN~Av5H}H*d4s0?OJu(xjVI-Us==wSF7isw@>TBR`Tlisb53E^QA_uMx)l ztF3o;qfj(lnDfXlu91vRfkVdzjwqF97Wwj3K8ueu^}AbPlp0xF=6sSWO;&ytizire zf_+&$Pf=StjsJb1o0NzEJ|gR_;&MTe5g%)q8K*A*=av{(;x*GgQmf+c8uk1%Gdi&* zTwrMNq+a+1)wXG)L!1m@`!to(@}icvG&52Yl*+TZglrq#Pu7*!i|g}53elutlAI3t z;fb(#r^u`LkCIVD5z!ZKOydLHeg$cr>#A1{hHW-4&`p-khi@hA#aRdD+g}QFJ2jah zt?hn_6*s>w8Gn|rBa9lfbh@##rzUNuV2dJh5DV#rGh3cLJ;3$l9NA>*UrI9h>wQo#Rk>e+Z zhy6OGDp!?K!UNC#$ww(2HZ{;4NH~tQhfC9~DT`B~A_B{8$`EnE3p^w7qNdhS-n~=m znnQfN^~>ZvPZ^3Lusjo=+r+gvxVZg42Tfl%Zkc+JZcPaiA5ysC>nho%&AtBJ zcTdoAnalsAu*~cwoYW;%RTWf^5pTgJjs?uNLDoG&K3-p zFG}tO=Zcn0(3|%pGmX-vQ>P??6#r#1WjwONGAYy|XF9~WmNuT9Dc(pDf4^dwu={%2 z7IN}3 zK_OqMKl>Oyj8KT4xjh&pEd{v+ZJqooVoy=%&}|t_9$kee`g&six-=N{)iq z<0{f7Hw#_++Bmj%Lb*Q=%~Q2xvf;i}mHQ%qRg*^tij?q>GAEPLGNYZt%q~!1T68F^ z-IrN(rf5PSnJP_M9#+iqLoNPe6qUTdd1jB#%D)?FFn!c>TDTtgG(2lW_1)G`F~fli zW{u&^rYAni7A4+HLrKEV-PWRNU7oNA&pf?2q{+bKnwENKDa-l8lMkO}Tax5cO;U?* z$Pu)rR6GL1cup(w&sx9o2A^I7&hc#^tFWib{EbI3ePgj#CiKv3)~Km!aF1Ac{H}bI zLu8NfV$1RBbM@?#Z7)@8y6cq;m)l%!RP%5?9dqJ(an$o(A)2bLO!m^ED?Rzk7^cl+ zDlNdvS?{hF`{(|!J1{HcbBNdVz=Hum^46#>AbC(jO!g<{HbE<~y-%6dc?kv2Jddvx zGy9)YSWaxaehMS!o;h|}Y-ayMkgj-6Vf-Ozv*|@GY2Y<+C8uqGcZYWS?wdZJcklW< z#+7}>KQ`px7i`d3X;T6-`Awz&K-zMkNdR(NPR%k$UG{$!n3CvKV!amfCfPauPsA1K z3mnsBUE}_i^HQcW=gNu?fVY2OZ zaJ1)dD(>MtPr)4{iW;%rpFYDxFd3ws?!9|TMBpnDhcAU+0+Cjyr_=aZNPh^J`eQ4* z>d|4(;}D~C{WK(e>Vr~JJQkGJx+((FUO=(W#Zf#!z0hMeO70H-zQU(w`O?#2H49UAMhNl_$Lit=Wl!Bb_Nbp+SMwnZ8S&8VYkb4)^l=(jWe z6@K1~hPL-EApc&Jk>|L(&o^*Rl9Hk!Fsl?)Rl13&)wL1d{+55{3Rz!9VW=pZ1G$P& zBuTFwQa^)7j{}KKY1bf6<9_DF+GT*wJRW8}tNIV=^WFM;b~GkFd$D83z0_L@H?()W zZe#^}Wu_eec2a)K*%okAKo7d_iWe4YQ4I)Nw&{b{*C&$<6D%xSfj9EV?RYih1#T

    MD3I*Bk$ugk%}WEc69}4{VYB4viivF=9X_5abj|MZoweJHP=--JQrz0wQ5tRs_x4-M3W8=)1YHz*t-B&a5ssRTNoIvi z?2;7boQt)(NsRE1$9%W#%8%n>!Rp@uomce62B^N_bKRauu?{VM*^hY?C{oQ8f&$?` z*VT}LvpFf#3X<$TBtZf`brDo!I*H#PeXc19Q5Ql6>hKR=V}Jbkpp@f?leh4TIDI7t zlN@Ap7}Un<-3l>1t3#0Y zsl+-TdVT+=y)Tcaa(&;`Ztv>5lct?QN;@=BnM+863X!BDA(^K%nCIP~c`}Afm8rc@m%*>?Dluq-{G9|`JHn<=lA}R74KT>dEfVW?&rR*`@XL$&~3LK zt>~s7NTx)ZirEXG*K|dI`x#m!iQ1(ZMZQlX&sG!VA2t0*47Q=zBv95J>tFa2(5RY7 z5*fk7)zVru8HtDIazs-UMT?v=y}>Bbu3ChzcqY%%Do8J(epfQN!=aZpVu9Hv2PUw zCv45f)I(zKHH#fk+t-yjXr46>!mrGy-ZbmGa)d|PW){(Wn7!zaD#eIGZ*}VmlZRm`O^&@UAqV22yKPL@Kvtc9VOKu5 zr9AeD{LekQti==FV@p=vy1>zJA4rIq4csJJ!wG(uuHX)rCB)2>sw=}999vU&i`<0w zs9)K>A~sTVx@=SzC$#Ojwb7%cW;G?W%^xnP=Ve}cFioZWz~n|vuBdu(jet}>tX zJ?Ga@kIK~cA16^WE&K80*DF)Wr*VQia7XnRDxXZAqYAT&T}Kkbq9bernvEPz5%f=8 zrL_AHdAX^RH2~#iP{pXA_iJy@Xa^`;B=)Pb-o)1Qb|6BU=%OQ0jc#%G)mA_XB-1k!`cz%?7S=^Ock73h0?{YjicJ#vv^#W1LA8@PXEX%1~?ZsHmG z4Jwn+cH_WwU5OxGmUwze$({%{IG!`9=b_}J`LcJ?^acA(NzTmU(p3+-OEwnMr(8Wu z)bWvU^Adn{FxqREU9Li9`HPXA8h8v zc(N+))49c?b3=2`PtLSQ1XeR|7l@ImMDZ4?-t0QP$fAtL zNy+M9c#AY$+LIdSSw*tsl+FhZ_`xAj^(Q zswNIQ8$@YLHv4u|`?rTQ{w})NwyqXWjYD`bTdJ7h(;4qaN9X7G5GU6UT_ML}vUSq= z>Dt=AfNUZHO2dLoW>R9+0PV%5(;w`JSc~)m%s_Kp>ZyC?JrC0nB@y0b&3utyXWtP^ z;&9hCu!5IoYX4A)GveE5-YU1NAnLr)^=R_KTNvd!WL);N54;%{R!dSwxAVkp_;3cw`UF8ok$zDZ#qes7Q$(S#XO5o%a zFbdtG&aI2{M3_8fX0RU3ejU{E-7|j^bBhu4WHKd&p-!*Ak)bvPd9%M#>nszlo1-|H z%0_#7!4z07Tt{{z1yu?7(XQ;5+ z>xi=k*dz(|FBK|=PKWJCUNHUF{sU(P{7kD&PJdTAt3v~7Gel06$p$4?lSrKnXqY1D zK`=($A-sKyNYtmgQ`lJM=Vp~ne!1F1r1Tg*@~aQOdzgY`S&Fn3|MUxRwVOx3tDFUW zMsTPCr8e`PYs6UMspWv{4~o3FU@lmVZCXib+nA5#;NK%%yox#|k-Mo1dr;Yen_Dld zk^uPtXg#iWAOC_{JfmEhXTTE7&{VI8yWl*KFO~g5pqS=F3X6;~tY)*Qyo~fsjpe&t zT}gC;lm>oYN%|CJF9+=U=Z_g=58bW*TUC^*;`>Oo7N#Y{bj){Ew-)<@+F96pRusp^ zcKh7N6N^zi* z_eF%)UBHkcu#pNW&$ti1!E)I9itq!t+ElHt8(c=Pjgup$?nKDjk0<-Gv7Jg$f^rWL z;y#mSK@EqJ0Rcn-b&+GrCxVF1qNf&;-LHKd4#NUPK!-KeIU7QrJHo}#}pGR^^7vwzoGI~b;$U)7Fc^hR9 zZ#T=ddhk@5ImRpMelDaw7`BHp_9@t`Z=twB)Cx_Z#C2xcYeJMzZ4cZ>N8(h);QVp2 zcHg&m!e`AOMQadc%r&Z)%EtCfOix<==Sa0pnlyBB+@^IO!=;7orR|iIK0@*@FAOE_ zF=7zraCHNF3#w=JTwb(@18Xb|nLLfV@^e3_P5qtb_eopTz$=2TJ6miY&8y7Wk=}7e z!MS84VbR@J1#f564c7LS6Zux#DDiYa(>CvQs zxGREmf-(}^5eY_s>E-4ok@GyWmY+Tt9XX`yxDThAuke~KsM72TQ4N(%{Cvy`Iafi6@|f!7Ug@lz+s`6x}<6B-I`S8170)Xgk+rgY@K zVB(O7_%6)ohGbKSDOeT*t@dWO(CoTBiR zwraJ}@5<$TUO$nYuyn{PJ@?mep2%nuZ#W+NA-WkJT+!B9b-YI?kaD-C=mlm=aqrOdH?C(**c1o1ZsjA<=KUpa8$*lHsd%Ha6U50m`p63i7$Fj!- zc~oM}3vceG^-jz=j5;DQBYBEA9(>fb4J}SnJb@OAW+>lyWBY+<@u=V{vX@3;10OmP z#%)bI;)sgiI(W|7ymLjl#mR48x!;K`EQ-M5xVhnn)?B`EmEm{Zy7-``jA!cVn^iS` z>u}Mx2SJVZW!LCemC4lDao+6a)>HQt--EHF$Z737p#OoGP345p3&_TzP65D%Y6}a& z6F>07V{~f0=wedb5{Fr=$U(4-E0IC~5tdb5Nu-Djb}CY9F--zB=f4$mUnkx{oPA)l z+1HE;Eae?Cotvp+rs8O^us@*%gmXvW?ms9?qHRES>4fmF9H)u9^es-IHOLr6e@US@ zT9mtBm<%tngZb|H9lJtJ3iGXcF1)+T%jQvfWWi6eC#fdE zC~dxmrDNR0oUimD)2?{TNCU4>TmQKgcejyRE6Cr#Ut{tdv5sy_b$s1lqc0@g#l%lY zeyBZXbfg(9TF-S?`6`iMi6V)xkOY-9Qs5R$%RpaJX7SSXhsU_L1LdPW| zQY+$j9$$a($r&4v&R3IoFZ1x&(#{M~=s(fc|984FG`9c7egE@dXEZ*`c|!8-yS)XY zT*mX}b-c+u>K!D=wa9$muS-MDEG`fdP8Ka(k}AG4`PVL!8|rp4j>XD1LQ?viS6fFI zH@}!Du+Q*@;s;)ZD__r<@*NH8cCM0k|Fnc-@w>o)te)EV>Ti}kA*t1|THk6zhu<)# zjVnRp?;jtod=MZtf7(z)+=lvI0i(JZ9=^!j-2C9jr&kv`1bGXp6s2{#`4gzI+nplU zcf&8O-nrq0$9`f4UjvT98vZk0G#k}fOWyIE3viDp`NfdpskDs zbZ?wR-tgY;G~#-=51x*FM%p-EUXFR&JS1%aIvM(>atiO`KZ4&!%kwH_jpsz<`^A`- zqn1VlzIrGTpC3dFHtCwB)v%j2L_2k{76Utc@c&nN%>-HP9Qa^^BRx3!HFH?#7 z5%|aj;Ge0Fj*Am+9>KGemw4fUcd+>cQwbr}5zRxzb60Eis-WR_aN92tEO{5*#P_j3 z-b97Q5r6~MU6R^?68g27jzp2`0OV?4rxaV5ux&@J&co51=>r1-xuaV>`wJ6nxV%C; zSG)5TB@BfWJ1!7oP8NB_T6lAT!Zp}W>ydyoYlDRp0pk#1aUVbe_cV~)6pyqh<{XJ$ zicNnXHXwmcq8nT%kc+gcRLkI}(%`{tvBiCr9Bd6wTm9M3%kvgpDSG!nDEHzE{hL(; zxGkNXnwr{~c-d7bV;GLQkCQ!q8D?%Oj~{HyRb5?O?XsM@Thu!UD%Y6C8eN_vwO+P{ z$U6Hu?ZxkZKfj2?5{@;NmK<{b>J161&-kPK%Q6rAVEd&UE!uOjsa>S7D7eAw*dt^O z7G6eHLb{lThlfN1Istfz3_4-YOoV@x+A4>qD=%?pMK?h#Y`#|SAD{$gwd9G90t427Aq^OJ0qlZ{&0}Bh*M%x^!XIMR7SG44b6w=%6I%br7pDbev(Btp_nMwMGqYNA1o;7PEt7c_8u(> zzUv?zOg!-DcpuVEyhs&jvpy^AO8KV~=9cm}Ei9$z(=Y7F#wF)S#=t^u4Kn}AS@bmN zkbh9(kzoGv_8KI$4U$VF&r^U*%uwnblqbRA^HWsQ53iNA#QCnn@9jkHJ5OP*&M&gg zJ*=6FQ{)+k&#es0`eo!7cJc}-BDsKK@WmvYq29rql{ic7kQg7oqF1ofBH5pEeU|OI zk(MS|-2<3Dv$o;er;_v8u7mlgIq|a?WRtgTuFZ0eu@7G@*HpJt^jYYl{+Qe$+oicf zTzu6PEhDZxp`Ju);f9a$2{9$gzX*>K(v-eJeci^on=ze@^ssZAX=ZESL z!FG0DcF+9Lc|4c)OWFkeIJkfh@&>tic!ECbJveH#?(-b_XdG&s)24iDd~V&DO|>`K zNV#l*?rW{REd4P|oHJyNjMtpeb>3zYG0l}TvQ~y_wV-6l!)vJ}YqL_z9)J8E=2hX9 z;}4t7XZ_fO#xt{(>fgZ?7^+bWw}Ri0gcb%!~5eU`Dl@XG?TZ;!t2ep&5-bFZAvM#uPyv<*y6;Jbx(#0Zi?XsA5)u+3sL6O! z6Cz@;GLSKr`U5Jw#?LQqz8v=)7rBeRlx`0H#Zf3KZU z_<0C#)b*oEcFsjU%g7u#fPS_fA?tblT+cj&8Z#-PUeQMLHzDzv2YpgX3~4!K#HO0Q zxbdb&2DCmm6B9)!2lNC>@OxbVoMseta9a@Xr)L4P7xq8hdUTX>EC+H~pW)*h zq3oXzGECpMZuZ|E?L*DV1uB=xa3y)gL8fDpTF(4BA79i5@b8J$oEa=_dkzN9IjfZf z-ZMfZEcUGHphc~*iscLz6;Tka)BE}DI%&JM`?X*a?+Ddd4_A#R>n*r}u}ft-e!F2^ zm)(i7B!w4nSF$QI)aEVh>hua{f2p77u(CLT>HPSZ^UlvTsn*G` zvpN!-+DolU?P+@WdbRfP6JTeTWZaF9w>}cw)x{puQ0#BrW!E_7rWm?7b~+UP@$<*O zD1GmvSXQUG_6dX@tI*o5hat0_wLq%(NN1q;LP3K-OVuLq!PuxCrjjBSOy1(nHX0Sgz}dj za`A6_vkZZe5%@7KfQ8BA9`Pm^_pXQ7i3og=wjLnTwVwxRdwi+HG)8LMU{dwE+H0g% z0%|etr3#ImyLQb+@~b3ph8GdSP!4G(RfC92O6H>kkQ;F0vPU80CE2njLrTo4sdKmB z0SB!lgf6K8-BS;xi;=A#vd!*5X~+fAhVc{9Dz^**KD>8708&OfWmTa|F`FuSnXaaD zPunYqr+jF+6W{X`UW5F)+ZN9kQqoW(RKlX_34~>9E&E$u-l^6af$MBtZbwC9ugF~m z=1q7e`I_AT?6-TelXK}^QjsO?sm(vO9XS@sBREb9`oMVRB+qWdT95v zkf+at@6OFy)%5ybjwbAP2Xm>c7$3cbj{k~H>JLNHu$#Eii@y`IScJ&G^C%*Cn{Im^ z@G~H4*$-f7HQWz%2Zl6jcx>`!FBN`M36+!OfTVn6{9t$MTwuS)WB`yKA!x@RW;72v z1hZiJmN#cpM1wRT#U_d)jF`S1G$^b~UPGk1XOVYPvI^Uu0`D}iE{;YO^vGdiMCY_{` zYnW0LCK=>kD7-s&mF|2>9IyLKK0Y04lGCQ}B)Rl|jjWkAZJNMan&Nas8ymg#Sd9wZ zHYYUnGAs$er9wB`xXtg!ia_zVzI!Cpi&&Vc#P=sq;Q-Wx9X!4Lv7_=xK+u)J>x#_ z(mT6Wvs_L_bTQCy<*W?W+t}1ne}3yR_L|LS@^>foPlCAr+%pT)LCR}!{v}=>S*NZu z*bIqFw;r+l1*2j=tFLKD63&G?)#3aA9{1~yy)>Ar_`9bX=tbNo6e?fz-XXUZ-ZJ9( zEx3mt5SCv?X#roI!{p0UxRUD&FKF$^ykq#c0Ywx@AR1u;jwbYILR7Kb$!I z*`Yd=Z7-muwA4WL5q_|x1pH&?hyuZD*vSN~-7(`uFvZC>7@#xyEX{mWF*Y;-tR8dh zmW^#$pMdw2-gWN%%nLVRe~0w&VDIz0p(rU*sU5-IcdxXXC{aG3B<&L2Kw_6yd0hq6 zsXD{u4_MHRrgZxb-4>mt7p4z56smc)BxuU`8!^|FLKp|V04$VtPo_X&{38C&v4X$W zRXL3*-=4d1z!fNko#ctfjdHyYG*iuYLritiT}U7A>7$6!#Zo0ZNhrlE;sKv=X05eYxfWaL~CIUiYt>pov;axN2>$aqO>h5B`bEV&8&MiMUG2P zS4LM<=m*5Bzp9=7!;9mecdxbx<|5a}L$cz*vBoy1h9Y0#yU7Rh&b6h7hllTW`^40j zeXn2WB|r|)9tI(r3HoEuUd10>wnMsj=(ZKHKT)5>9ZTxNc(t0jbmW7$pp$Nw1xFm$ z`O>L6K+3vSx;4!+HOfUZ%gOeR6`kzhKK7|%l)K~NlP!6S;!(J}#--N-bUF}Y#C;X3 zh&;i}Z@o=6dHy$pNpA4d&To2gGr5LZ5t9cicJXh=9+W{^_Ve zFfJ%{EXpR?)CI6}C$`eg@%k+5NvcqN>XG-S<{IBaVADra6_DJ5L_FVuHb$}mxKz$k z!jI9Lg;Fbq5pb7QA-yz9t?MXY5%E@j(BRtw&pDL`A-z+pYGoX13^A^Kv!4*oFA7jlO1Qw3)@v^C@=^3B_5~Uz*(Zo8Au_w#E z^hM$@?b4IyAC|XiE*Bul%)X|r>$xduYVh**?geBHO-+nmcpOGLCm*aPA3*SWp)`11 z!D+d!@N4Vc-3Szcf_=PZro)jK`pw>m==?Oe&NC^x;W(|fU~ zOl>r$!flVY`A~3-3&n)5Q$BUl0Z~dZ-1SdXIoXCqi1c&yb4Ysei zFP!dQvD5QZKTn42G*pJ`sO~6xUC?8dTB77w_pokBeoE$$YdLpixHKG%S3mznT6foJ zfhZ2`WeNqEqC$xcMt#{ELVDTZSAQY0;%Z&{@TX9KJ3M^Te%3n8i$uE^=)};?o|)|WZ_tMpu$1!(-Pc| z-w;H_%!!y(+&{eH``Kynh!JU*%g_a`4L7Rs>UIfnONW8WaC*`{)b5T?4V`i|3Rs!r zxBY(lGo!~oiC*kUs*+2yzGD?RzcG!&AaEQ+3m;NanfCi|(&9OG9?(g*(K0d5>(+9v zdu@y9id*LYl~qu03sKmeJRnq(`bciI81yD{vj?H zp3*}kom=wR9UXNCfe|s>%L2-B+kLI4*Alyqv!>es`&&)USFNj!JJWNro2!wdD?xitF!&y z%7JR>#@5RV##XRI;p>|tKadW4y>{Keo}Nhxa3*fRPwzx+j7f#mX9y4-K_{w7F}}p3 zXl>e#AWn74dmw1L%aBAvO{HZ<3~FTx;O@?(J_5{ZK`ic^`)FFYf#gbi7Y_~aROp07 zw&W05bCW{^9NI5y14XH8z=2c`M6TQgXR+;eu%v#CJR}tPOO#q< zE};1uNyp?@(60XgNaG^l*7)R7BuM9>`tAHmo%GF{Hf^FVk0Xe|B(>wqpQ?Ex06Fjb z{+6QmjmXGIMg!^LXoxcBzkZ_Vb`sws_pzxmW*4QvNh5EY7yt4AcB3i2PZB-H=Jb4v zr_AN0T+(@$e#NP+6JzgDKG3*+l#97nb=1ldl~R6^QSm|aiZXag#Y{?{jU)@v#9jl6 z6$5mxoTKIiB>R7%>^3QR96^XCWo3;Bq7!O;a!9aU&zdP~Q5CxeO*{unudh7Ed2EF&ni$CDEJ#?pNsm#lwK`g~iCZsI`&+ADXSHC(zWnt%KzDZCrMZ|0ZmnK5ji zIG@G?s`*@}^Vk_xZig7IG1N#%MY+bU5!NfIyW1?wUK@d1kMTDws1GPiy8uT)a-G1Y z@y95ZOMo-h;zCd}cz#)a^tF?N7i{#-Bm34K4`hb@_294#cWzZ?Q zori-aJ|RR^KHZR9kzUu>Piqk!E@$ZxVe`O!Yu0>)&Za&Hx6KDQXtr<3uyl8A&f*oP z{>2zWC;hmOay0d;-20V#3h#H7G*D>@gQt>k^$6iyyPKGu=F|;X-9NA^bU;H=r5~AV zABkU~EgfYzxM!syGeGaBw5|wxI4#=-$ty(7@&zO+@{tC({x(!{314nnBuBWz{CHN< zMY&{r0sG9qL%-6m`Ep6mS9yK7pWAUO*SDLH*(o^`KWtdzS*5)q*xZHU$5P%QYD7gX z4B@IWNWs&*V9v#7U$QPiCoXnTD{>u|#_x-+C!rQS_U}#Pz6Ds;=na(nA4F*d!?hzs z;*J+AkecGS`8fY@d_a}+JDB;VPBZ!FqYDShP6q}j%lNKT?odW$s4-)SZCyq!l0gRn zvZ%DC8d5;oO&%q!Xj)baxbE&oDrNk?nd}wDr?4CruT!bMzV=vBE9LYvI%bFVZPxge zt7yjZvj)>x9>B~sRacn1xL;ts4)eKA{LAk4^&|D`y#@vb3}4((P$?#@VgWO=H(0nT z#i}x$PYhuKlqpA5YkV7 z__ea$fVwE`tYJx@gd(kkaIf)!aQ-$vwwSfGzO)2BRCuU0)IwPG767_Jl&J@xY9L3E zz#K!M+^R%Re=9LD(JTv@mL(LGiz1!+F$X)VH)Y|Q;ocvGI;ePDvSFc@A>^JFAv2ux z5k;!1XvM4(psJN56mScS4#bZJj;{l32h(_^#UEhTO-}p*mwX$^B?|y+WVpZD{rh4W zipRS?A{n$jaz|*$5EOg21FQ@hc7<6Q5sASvUZgQ=+>ZTvc-*u}6l5@;oD27iZPcgv z5sZqe6yF$P-71po(?^2A{hmSA$cK!bBJzUX3uK-6QTeOaINKU6394Vw(J8@&uD|lK zvMW{=*x0vG8GKu|k|1l5s(QwN3Hcia98s^IUVCNHCNF9jn=@!umpV3!i&k67Gxu%V za;xE*oMG*+ppO;wRsH8%#rZhF;i$@}-^d%Fqe%O-dI#$zz~qtdiTi&i1GCXLK-^5d zva(WKC*8J{lhTB5Pyoe~b&($5U@g&7pJ;{V_vi&!d|}V&3l}ikEnHD)arvlV?$_ck z=n%QM%C%Yf1=N`-mL&ZBhd4G8TO70O}12rzFWFZXmK&6CpN3vTEBTB$E^>2%q? z%$3;4>7U9Ar|>uou(LjN&~)S4^8p)s@#RS;muqNi^FaMAG^v=<3lxV@x*q;S$i;yX zpl)jhYpK!qL@SW2R>s5om_~VMFTbJwG$B)zkTfB!Bz__jxsPl4fY!)MBng3R5bwo{ z7kAz@)YRn~9~LZtt*MO0X@%%qCEn@bsSY|=n)FW$*Hmmc`5Uo5JMpQpl~}5N0Vi)C z1xthg>f2g{oUx&Lg9}2M3+dfE!`G2M7R2W>jN;&z3YrzlBB7+X)?2^ds1Gw$Ji{96 zR!er|{dD(jMOWF2S8b}tm8+f3$E*qGxOln+BhfrtzbJ(>ekyJY{UgD=H=3|~s~7m` zdHOnFL;h+o>BocUpUQQb4i4NX9o=b$nr-aP5UyxzoW>(5l%bnqx>Mt4F3xrTXgI=uIvmb*x#nal5?}f{ zO7pzAWyE&wo94Xrko(k_$cY8({3t_LG$9zb5 zYuTW?sHJ^G$noFGx9>_qiB?+@DkVO`Rev6-`v9uKRa*AlEiW0;Fr(T>QKlpzoCAa+ zxqI%){jXAlhSQP6VGIbzr0iP#G(kpedlnip3b9vTAyQPu2VVM)CZ;m@!j{!W_z}}u z=Fs%OQs(4`&UC)qU%%KVu`8D_pA#o0)P>Ux!TLoQkkC(Jd>Y|!H8vv%56UKUYJleD zBY;)&F^#XOREr`h?f@q&sHz!x?@9O8p-46Q&YeqMUi$sU*X(92K!xjzSFh$#tLBaC zg$XWVvHYS!bz^I5&nzU&HVUxD@OpW!x)}58X;szZ{Y}H`x%`xDGkKm$n_E~IRK;pB z`t{3?6?LIhgD0%qOn0O~Z$v;2B)J7U+`f9ZT^DJ#5pJ$r)y$W=h_aL~`Gs@8K3g4J z)dVZx@+?4Xi5v1S)|FEot`_1R#fpmxJs%$l_dgj48USb{URc?w2z?~A?J!LWuxHGn z_H|1XL#h<}3u(4!=80ywV2ac%I`mtOqh{*n3**n7?rYc>^WM*k=(6wkiGm%Vt! z*mU(RI;Mr)on=$fivHTB=yExY?(mGDnlAYxnP5U-bZ12U=7^s553nUG-s}3#<>Hje z1yWrwP3p}R9S~Y@`EK{jD@h1^ns9%7;tBqfiT8nZX@OibOhwHrqb<3w5iPtbx|86K z&P_U2c57Gm$E$9yT^LD5okY&x+=}hQ(0}IQEgF@J`Em~$_uX7Lyp*=aJ~ZrJRZ;X& zwN2TR{x(xW7q{2ga~X_;vJM%EL(A*+-Tui?4l;+rxpCv}wIDX|0+zzrf!>BzZK!T`kMjsfu(G;0>xe?P%YYoHtVB%{`;^SrwK!% z+jFd4C9dg~yDr;GR(%(S;s=4r)1vzq{__E`7NyYfz^+hrsSV@%R72dR82j=6EM+BC z=)ZqnDJs7`P<$Dx!~=B*C$d5A@m}pZ6?vuUjoraqHvYmXTxTix?% z1Sxc271!FMhUWwH(7~zFN*rL9ne{B)t^UJrsJVvJaqdG{@Wz|yTtBg$u--mYxzw8; z%b~1@Iws-PqB==6x6G9(*UyTm@cMa43+a5iR9&gREC%Oy;^5Ye`!s-@eKi?qlSaMX!KWb0BE-&STi2g$a-Hv^z7@ZG_aHk>A$)3eJk`UYx zvfqzu6zaPdiQc+1;JFJj&gFIAJSK9SLGh09w0Y?7+<`ED4YkC?UOj-yv(D6bSF7L- zExi!4iH|ZU`O`^iwv6Y*2yQowK0o92E3A6JjU<-TU^dcR??9L;+G6H6Y~j5dDveDu zjHAZCQ;nC2YiV}|{?Jg^`gnk=qLMtw9wXXT!#Jv+J4AC7Uu^t3;J9+H$I09FV;iXO zr^Da@S%P$@d);+Po!SI?kb8K@t}al*qDa#F>f)_}#MHv9_{<<go!tuVD+z|13~JHl_&O>B{nI!d zp)Z3cAuO_hdphv6FZ&Ozo$YS0sb3^A^$!n9_(;&IFr)d$+g?a#aNAu}RtW zANzUIK81m^qZ&>>d-S%Hg}W5DQEC?5_~Jo%`mW_#)5` zsibUhQbWAUoy&XtL$yMI=-mLXm{EDx`I2rw#KK1E>8GMyW{XsEu>eNn`aN$m_{ks29 z>9GexX7YUAZb~_5S!mr)eGQQ|pGtzN+eW&M;yX=xrvvdH^ch8b^Z~y2C1ScDvbsJv zMe~aNgjclsRD3#-1GOv0_Q@UHpq4eR2FhU7IXKwW>|NsXwa5Oag~|I(j_ekMy#7^xjuiBEi)xq`q`9u|P)FppyH79;iD@vaQR)HmKY~ z3HOt}H;r<0bNWlHKac}6VlZ?;tn>^Vu6)E1zmV7LbCYOzsNTpjVI7hfD6VcTK883- zx3M+lw|ew`TK8mO=5OPX$sXyB2k`S|CRIuJ^#iH-h1q%eQ0>sJHrSdN<`pCi&%;e8 z060w`ei_rwJR=w$SFn)vyk3dY&m|$n!r%6if*YXy>^)))RTOFF6t0Z} zBDoeQW5u_h`N@yeGWkjY)SxVUHoyJEO4$zUAxPDNhe(9!&=GCYM)006agycl>nyc! zFbi|WaXJDcy|8t*&-D;`vZk=1LycQmZ{IIFk0;SN-iZhXwP+Z8d*x zN$3j5@voPlkxr}EZx(ZpH=jRU%9ma0`q`Ys;=PWpGJ#26ZUb%v=e0vn`qv@`?l2EQ z$g0Zli|&^?n!?Hf2GZ{6jfmQ}ZAaaekYB@Pfu$AP%kGXl_cSv#n)S%X7L}T!t>$uH zpYWW-2?l{VJI*l|p&B{glp8p%gi*)bV$ZTx%NFM=TdoVVjcOl~8$c0dV@JG_{;uWJ zr!=XRdR@)5P|R8nhLB=au}<7p$-xjp{&?C7E-$QW8TNwB%jlBR_u8K{5Vh;U+7GE zGdPMf3B#lk7pj(*Ayk%9>GfOJ59|abkYpzXszq->#4;OD5z~ii70Q9W^1;t<9vpc% zVX~o)QM1$exvMTAt1petsJnfz5Zp-1)P4-@1rbf0)Hfm>qDto+R6KoH4;_}|XDB^> z4j1)2b|{m8UN{SK@J+Ww&=$zNhd;3FMp1%99}my+)73v2?87`AyRb3CX7q|X(^@T3 z$(3VDQN4_qSxjsPfdz)Ga79)JK+R7SvH`bHO|7V-qmu-Qa(*gM{fbCV(ATSwNV~c+ zqH@0NgRr&nQIwkSpO`dFi8cV>&-}PpMckdv-%4G@VFozGb{tbB=9)rO-+2SJkYxZa zO@0O>KX|_VniWObzv{Ts+64|`LllMPD&w7a@{X-)E#qZgY()Uy#ype&f9{-oI~*cg9ccB=-<36B((FSkkEF$ojbr!5+1%-1z(^6x9$a)`?&=K-}grd8Q%|h=A#+UN?`uqFM!7~0F&`Wv>eu6U;9Qz~xd;xz2{Iz%If8Sqi-*)nUe=L0{ z@_)Y#FcK2}@B1&8xBP$kVxxO1Nb-eZTtw(_2p!wq?YLG|_4UDvv<7-!(}k*z(}?Lb z>x)Z|+qJqhh#b-~ZgU-3S4k}`&a*8t%Iae#ZK^fV^TN2zGw7u-r>wZ;7A7KT`Mx`^ zD^5ZswB-!O)D6cQqjOX3v=Yx(zWaw#6;qu{ZJtr%SB|16I@V;ZrRL?z;Fj`=sxC#u zhwaBMph#-gfs3|}J{{@iG6_x-ya{%?Y@&A6`Z`@#IZ=1xaaIK{^n@l(mp5OnL`zvv z%SCyl2a`4FspG-4mWqa%Y{YZ<^pZ*$IMAWYHmoPE`Hu#~} zSiQC0#(9l4o1v=_yir=Z&f3@fik7vJL0CFkiDyqfKzRJ=d{@w@k2P$QL&;d7=n~f_ zWj4=ZyEeGf%9sZ4nqK%I-53iEe9!#;c)(Mu7A58x7?JgihF0aXiJSNY`sYTaH}8d~ zX`35tcf!%=TopU)zR~Fo%HnD`DE}w#LZCiw#rBjugMQpN`7b!Gtbl7bP%?x4z%0 zx%h6f>sag0ztXYt9`5AH1g*uhy6fNfbw}_PtYK?!6VpsF+ zZ67=y$j@t9Y-CpYFVs@gm%`~Hk#3?NMG(Z(ZYv++bT2LwR|_P;o=yY zJ&w)`n@Z9vYX`AFU(T1|mqwncSJr9?Xdl9+ zbikKuvLjJ@4vinD{r+4v5z4e=HN5-%<3;!OWAgeD%jFo2=GTmS!s4QHx#Ql|B-}l(w;!{y~Hv z_yaR}oK^xI++5Be#+8$5z*VZ<3lleJKM_{(Z7bY3p?5|oJ1%kqx5<&Q+xGc2dTqFP zfw|$d$)zrTQjU1^k-F=ZgT#8@g=-{=?q;*_Hs|X}Ted{*LJ(Tk6m@@p*vDPRU;~HF z`Gt*+cD-;~|FKNK@XPv}TV zeh07i>alMR;w)-c*BI8sMoCevmqzrygn--hD~psLFO(6=+QWTSjEMHHMD zkh(mZhM)iLF*G%$R8Zv%uNEPGgUvB)b>=Au=Njl4k!5gsn(?fSFR?HS_3?my$YJ8| zPs(LR`$&+5>#azb22tVU3`hYL!Vjv5EDh2pvvn?&xVS=ez5mrU#kj0g=0UWm`s{Di zt2872uK{yY5?5>34I;huP!12*3gO!q9hNMmCf1DY0kMH$u!yb@gV>2=!;8a6?q5b~ zsdM;j#NV&SR$9JoSDt0JdY@#4j+oIX9cHm^&H6hs29}b2F5D$(vByvffmT{VXHI}r zYb37A=`<}9E3uMw(Ot=+ta`?Eou&F=c%zo>dMJgyM9li6|BvSiR?^V?bJ(`Iolks| z`W`);b6y;Jl(BrmvvEols@Bc(YyS1wGhun7$m4UIM{E`m)R8W_?k2|*8Z#V{U>eIe%dn(Tf0UJ1 zDwY#kLy1_^tg4cUC>4uco+VlvzbB0`AD?x@!n@8DuX3H9m}LDP+gwfe$W6Yx87;H! ztfutA8KTJM(KaI*=Bv6t_o(j2SIYZ=`^+P`_c2&uiw#IUbB)sCcw@$wxMLnUT_JKG zl1LwBg~1-tH~Jv-{%KMIuF>L~nD)>2FxmU3<4p``!=8t|i~LI{?b!%b-98Tc;~`Uv zw9kQ5hkD7&*$D)-p?mp^ojIDQnKwkkbcfC6iW?4+!Z}X;?&8gx8@%pT-lCnAW5~3p zsxMp#5x{1*vRmq4y2GdXex)xZAGifdL$F#Eaxz|{QW%mR#~pRu|YrSCHwL+2nq zBQ*?q*u+YnKc7Y27Y6&yXVZwb)MG8Pw+0*OykZw6>DYw?NmE;DoNp+*iRKU=>FECY zuQCL}b+DjznkUff2cIVRc?=I`sD#ifm8KXzZZnMW~rK^tD z`0GMGDF>m;RQ`RkO4NJ@A%x@=vu=}N?{9!xUI)JbaTd7=-rOE#OrXj|o^N0FEXP|d zD9qJR-q!csK5r>IhBDEdD@bvRU!AKnYD#fIT!APD=qz|7G=RKbY5ntB+fh63-trG` zLjI15JrP7FUPKf^nH@-iA&SI@?oBm98OULOK7W7dm^M(wA z9SKo0H*}|7-srNUafixs({0?cAe-we)`+xe*P0~|TpONw-)G);M-9nJyk5?8{nP>8 ztzfL007CBKpw6d>Zqb@5CbO zvN>hSp4baNP8z94?aM-YfO=M0RBRy0b2al|Z@eB~`cfJ21Sv!LHR{W$M{TMcr02x- znIiA5WmF&&+EbAclq!g=uI$QjNoMefM={IBYEhOstuA%0cr3ao@8ukQS-e9~O9x+6 z`Awl&7mVA|UJj}{icb5@>*DL~7acC6=J;a!tVe)?8}~@KWY=z*!#Ox@Si#; zvL+J8b_khHYjLb!A#1TiNT6a2sJMKNOULE3pLgPP4!t&4ue|}P&1&;vAc4tliPuZV2<~D41Jvvw%0Q{P zT?D+YTTsHP=FMS&rZA2xB`<7oSfyPGwfEhkd67|R*S9QW-du2t0Ab}JK!ktspIx$I z^cgBI*m#x}?m#brO+SeG`9XxO4N8Vm#>$r)`&bnKKJi;OLE#Ib5F%LR_m|EGj*n4} zw@=?bj~`eHquL;`dDRqH6J>KBboLdjyK#NFdoI=EF1b}JLtUrlE*7eKM0`b*%~vX(&Wp;KPj=-Ezf?>E(L!B6HB z`3>V?wN|uK(>nJ!boAzm?xsq`vLAh;IES8NuR`Pw60GRaAJWq%3tx{{E%_aL{xAR~>cf3nnyL3(;`1whJ1Eg&TP7^`C7z0^}gVzo?nMPiy{7LY-x~OC$ErKDKxI z`Q+GY*t%2LLah(Rs`3MGvB|I7UvepM)^~_M(p%>6qeC`P>Y=pQm2Z)Z762{1iPU&+ zCcvQe{D?&mtHUe*9&3GrUj}_c>)?|A2I!F36>t9C&2QD^Jy^t#XckR^uvxP4e*0+z zsyhz)JEe@?Mb?|w6EiP)mO`0lLGO9#R85(7aa5D^ai5wyICjJ$3U|Eb^l({Q*~agA zq^_3T*8MYJpIp=Ww(<_7a_$8tK%!ow*v0tvU+pq975llVCBmU%&fAX%4fonUH!U6p zdlFUfr!4c=X!F>h_qTGpjEj%=1 zM03N|VaawuD^Yt{UvJCKkg4q9F6D?{FY3s=wp~~CUHBkZj2Abzf~p1Lxi~Mh%oO<$ zYQpVjWcn26%hBZNvyD=QH|EB0!4o0nCtn7wWo?+zJA{E*WY;}GU0EE z`zIfs-LfSr%p?--qLM3jn+D6iaE*&+NUf8===nI}>#7u^~lMZpvS@737 z2TysRJGX-kQi-CH>)oO=3lFOO&`dj};u!IB@dGVchqOz-^uvNa9?)Agh|W(s_L8}j2eZ9{T zm*JDFIv~hAA`TPZV`Ur*alYxR@dgL@$r;TB>mWl`qz~qv(3(4x@-bDxWJ-bHzh%L9Tg)s5;YoX&HM(mAc?wI1T4`*{QcdwiobnpA9j)Biy zr8IgsE!0(S1b>!5t{R|nDdZqy&;D?$H3Gn4__%`ai*$n=8`D!+7EA+F9$&@do{H!V ztZSv7^REumPQ08$eay6);I}hdg03xrxgisV9>7XL*K2Nu9avZE1%~ zS*0S$C$!JilsZ35m4=Knu^;!aPzF2U-x^Nq-#eF^or?7$Extpz^ zEw-c=f#MqQm719QB6%(N624Mp!Cp7{M97=NBMSwciMegr6c>C~abAKB&-Shk6~TQ5 z>T_|ZYQnIn#@L&Y2~7>R(S4R=dKURia>Tm`vZuB+74LPo?+ksNc402W+|A(EI>=NO zJkymL-K+}*Z(@2PFEDbmv~oAM^)mZx0QEPW;uHvg6}!funY>hr$ zWMlOFq~;EhWFK_^6D)8^%OuV^D4k^qNkIrZ^mLU!6xvK0^%2el->?rv@_iaszFBMkA~R#=E`9l=Sz5YEAtPnKN{< zHTFuKJdbd|-90&NMyy13{XMTis#+>^d&Ls4M3EUIfL)_&z;^Ur@hCDYxqvSkUKoRWshENDpeSpHOQ^11W=7X}E2_?>9u zB7{deTG{*z0@oAt8&E?-%w{aguriIcGGaCzF*RRJ$zug4yckod$rct9`i$*Oh!l$S z?bx{-TEGEZ+1H^k6==c6gn;CXhF2jAW(8%|Q8q03=-Z9PP}g;Rx2x`PW8NoDVJQSt z)JxU(q{>z<1J>Pn_A9sKueb#A&ZHSCV)d69A3&hRl@R67-WO#cc_nDhWTwlCW$PVq zW&8y=s5jIVK{ta#AmseesW;*28oUlYSRcJQIfff0a>AXXlic@q_*AS^ADu7Jc~|Cb zUhgLs6%aF_EsoV2TqZljINeD`bWpJnrJ-_iFH+a^_JCFX5tYz)uv<6ap$TbwcSh^j z#{0f_eX)4(8RfHnUMLZ3_$$VY*&vmZHC^A{0B)|X)4tvaz&|Uj>uw-JMC@SC~cl4a>e|hdKgHT>P zx46`pRvHI=H2XSs&33|WVmUp+DQ6yzFM^8C?cLd?v>CLBX$)!gPzyAu%)&#;ro>wT zWf<#_j=c?!=04*ZRh!`yyw67>TIohW42;97ScZTTTTg z&3G9?Mh47Vk-A=$T5>HIohI8wb4FISztO7Kr6h$}72;fF94AKKVMm@A~yt*;#0jHF>+oW!TpugwCSX2ZQKSPyQ zxyM(_N_gGs*x*-2yx3o+N<3r3WDq*hW|+~FICBhoEhDNfCl>N%-&c|Ottm*E$E~>1 zhR=Hhgy|~8zv5Qp#H;D#1Aj}DewBK(S!Uf*HWt1@Lc@KO0Pw2D=c+uY4*6&g3;T4$ zdR|Sk1;)^p6=hg~X2ny^di8d!aEt$PID{QWrXfPLqimv@FbgUl!&dueZL0N}Tjt&8>FtL|E3y7D&p zK!C(_s*lt$r|?H=ime-Y+#qlA#pI-HiNVYRzMXl!;Rz%drLv7wA~)LI>EBZkqd$ z7NdWnm0%|W&XVW)*Y7C>U7OYo7J)7KYogNiuKrB48)x0VKU=TWEevt%?%Ks;qL?^T7wv7rGP%!pFm0^i)YU8G?j zTZ8c{Hb=6jGjRY5g&~x>b%OX2r>U{7?H-S(&pQnxZAz)?$_lK8c#Vm7RIj^EB}jck z2idGG*-NF>Cc{V15nTV(FDi3ukm+u6E8e$NFVH0;_>xe(y(*Se&WBl0=b#tQw;1Inl3p$yFxP(y2I9;bwt(*?0_JJ9)XmfrL#H z^$7PG6iAWU|YVKFuOMHaB{f*Q_<1eOT?`$=o->eR`rO(US`LzVjSqSH3 zYpMIU-VU7_mj8ez#h}C_-A4!1f;$G-9|8*G5hyK2RK&uz>tcH8N&LDyCUa*!?Dtgf zlWPg9v>B!y41ehyIqdUpT33srf$#gL*hST2t-VZYkLHQ~&XI6fhgzB42ay{Mx{FJj zELG;@@WaJ&yM_F$GTForat}}O-11Rs*S?VGQ&#=z@i&G3b*7hX+dHFn1MB!ILi#uX zFa?AByEvnlH+8NMbu~Y$$m_RkIAox1>g+6<*pkfkLEDhFNZZt3D7LA*j4xu}{$f?B z#oz9Nl(s`#l{?P|{G<|iB-&+WTH|f4s!A3GPxU)AW=2pEQ^j5v)@OE0kyDXEM)njK z&pVKkqQ`KHf8Y1(Dws_lx(@xsfK;L1i8kZYtuvBZ0`ZC&)hJbO$xF8QHfPjMb&7$e z)LgUFZK3PsgG@RVprLconEX zw;Z1PxY?T+F@Ss;)bdCfkse}oNcE14WyYOr5(hv^IVpes8ax)MIbKJL;92Ge9na?w z`3rvRQ4h7R9GK{L&ISo}D0qdNBv$IX;5BD4>uRH^hX_-xGk~5sc-4O*gbt`_)@Pat zz0pUnzS3a45w@4!tPK|NI+vbPZ6){8wd8|Hd`z4hYx#Em<9aPq72SX*d^e=fb&bXD zm?j_Sut*M@7*u_1ub$+agORD;dst!gRLdC(SysAF;#BU{svb+&*V!B^X}$Q6A*3}Y zagF0vu+$4p^GP+j$TArVFaE3+cx5<^VH+4DHr@KB-$yllFTJ%fhg#JO`O=_B{l^Co zQypLtY?G(ZfOi!;xyBIbAH>FY3{gpnx)lTT8jdEo#mwu zBi@ne;t(TfxuN>${kNZJNoJ9<+4=Ti2lw0UD=@fptNeo3xx_IlH9GP5aI-C*YBoT; z0f`yhnq{srt6XyOni305wEVJ7D5W2a$(?GArz3QzKL8g%802?8?tFSu2+TEK=gnN~ zyO(_+S|Vf=7YB78%%XaR1mfW$0r^RlhwwwCSQaDTX}_7daXllIkZ9&D?#}(ow=%4J zdbQq!Zvd^BIndi+V06Q*e96vq`*5?^_ywGaC{ow2c7v}LQKu*pYB=c#&z(t1^3qy- z=Ym@uzcFsjl-QfSb$`{qO;9sS6|azFTlykxaPa(7QQHkNvID9*J6=XcgD86Rrs0s{ zks>2}GP&J1@gL(G4$ucGp@c`?GNH4tqg$2pL;KHu%`H+F9hrM+82uPiwJzwf+ZrR{ z5FTTsNu8w-Q_b&B50&lRGd@BcQA?(?zF$DTTJbL@SAEaR;DtGrZ)(7GrZS<^sped5 z;-{l_7UpiQa;W_1lk|kBg63?>pvP}hvpdDtc9Pny6Y$%5|N%{qC8LkP_mGq0Z!W7l{zQS^A)&xbGX5WZ4YG$I>dKmAEwQ$@ixX z%!M3_e10GFMkSEbg(i6s2?Lvl>@^&P_uG>|eS`Qn4C+%qKyjege*=?MfItxW@#=~x z2IU-V|MSdVjRox;yO-Sy^CB)oaDfh5vIlMPVRd0m%!$k!DjF!(9RrVVrIbUkmsYY@ zY`4FYyL3vFPwKnZdp2X9!h*+I$(nM{*Y^&2<`k&p50>=zSdza~)zvU+m~z|gicWSm z<4F+Kbu{;{0Jk&ac9<%$xo_GtnJ#4><`7|R>C7yV`VfrC4Lj%?_`iC(++Ih~%7wV= zrs>gE9y2JkxO>6sqjqU3a(7IeIL*IXsrz0=z}JO1$@#Tb^(KM=K0QS!Gbp29yFR>$ ziVqOqTc1)(T)FQOvE~-f>a2YYYe&ILkmOY$nP_TeIxLkz*GD_AykV4;uW_{yUpyn2 zue$;uB-u+S9}2W6KP;#u@u+bu#Z0f0UGHPNu$9ESjg~P|Fo!-K9o}?fmn@CNx}KP) zpche=k@}0~2XAJ1ne$=FS^n9zT}RDzb&F850^;t?(0@gWHK|aQNY(o(<`%R~1!*V8 zyMy|9t;o7dtvV!PZJUPt&o`EO-^^;lFk`ej-`e;yDONOHw)?_jKIud1E-~rZTFnh4 zd*e442)0r-1#?r++g01H%}A!}mG>^>bdHo7)kfPhu*>kWeDDf zp<;o$Vo>`VUNPT*g0=V-$Xg;}sPNSIV|ZwffX!!T(W`7Em-;W+_&xRgGnRmDc54^0 z0{-%NEa@#bSMJ1Tz@#6{2}zesUXGWR_|6BMQv-F=F7UdWMKFeGCc_^qtG>u{YPtU% zu$K!ery;W8l2|zojMeZ76>URv>OY%i!ErH`{I0TzsP4fzE(Mq{Y~tnq=0TA9+Fbn@=@K-LgHr zy2n)OVBfcF)NeEC$KRsRlEeL)$su3t;-z{xvU8%$tf z_VY5~Mir>Qu*;+qV0r1(H#6wMR%N>FL`PpAZhkA6>>T55Q%p#;$DwrlX=i(T+FAg6 zvG1{%(}U;o+-9~wJVGFv>aYgx8yoi-a46&zD~&V;=gn`?1n7t0Cv; zajW{Cw3*Kpst=3T0Y{oY#Tczhv-qNd@j(gQmQ+ff0C)xyW&_l7uGjE2Ku}EDZIGTmH>J8PDk9#*+&R2WKZk z>83hix5(0+LMbaqi1SoZ4P%(y7ny?^nqcX^8I>mdi)*rWX+&Nmb z>^&jiuq&pM1H+~8o*Lcg&AoMw{&QQsYNC1v)7*Cnw4&uKFfTUb8YMywYs$D`1=OXY ztZAinXU&}qir2Q=Gmj11El_l4=w6hgzUE9*LH@6peUdDZjQxb-Q8Ff=W>pd?`B?FP*EYjj+!^c~0P_r^Dn+Y7VuX+Z;x>cG7m8 zsYtXS0-<0TQ-5X)g{4MMu&1oB0m(kZWZ~f<^xT&&CA|jefu0KG1`b1-OsZ5*(mb5g z^hmlh*!ZPGB`3ovB7{ZEz0voDBhX3QlSNg}+xs!*Rt~ME`eZYaWUYponTI!|5yIJj2n3tR|ZjbXfF&TQht#3LvgS`M$L~R@MRy>zQp1)}l z?;m^2vbd+i8=E2GMRq}{pZpsI+PT2Iq}`4SH#I0S*dc!QlA&IhZO4XO$GI(ANX%@e z6InSv?0KqX`QEFfC|^!QsaFA+c0mH>KW^|1)pf z%&bX8c5=MXzz0THbSX8-e?g5eEQD8elJO@=mQ#6df+pRp&kT3l3nHUxsQ1gcl%X=B zAT7c=a3`dKebQ6wJ=~3A z(KosnV2ECR;>I~#?@JSsYGd(@!c*~!EPtbD(|WzT@!Jj1u*|p_hTq~>@BVEKQb!4g?xoLoa||H3nYQxy-5L3x=cKpVIIcW< z=PKEm@8A(>qUYZtt1!GPJCUs_JoQ-8#P(w@r9Ts9R`(=euSVi4(`fXQ>)AxZ$|H00 zK8rt%g&fLNsU*mCO}43D_~h}h?Wd+gZJj0_PI2=RVrTADXi^Kes*bvs^lR3hzjkOi zBU{goow3oPJNH|kPQA(&22@Lqd3Ek2$}j8ciXMGj!->km_P!jO|7>FFb|mE{r-T)k_YP+p;r|75P+O=*9_A z&3&Q@LZ|5E+m5Na5{-h&xbCC&-N|VAEy6&k=D{Lvo0yhLKH2xZBSdM7D2bX~V5G|^ z$>*X?6L8yf;$lA!CZ+q|c2NJYoy1DvwhsAdvgNDwgimB^8RcwMuigwe82R%3>cEG- z@1rld;Z+@KUUaCsWMkll_);J-C_2esroS04OGCa|N)7uOY85x1qq!rSaPAx-bmmFu zOE(NN?S21@*F6^}KQ&Rf#$fTB#EX8U(EEp3Pe4m1AKznu%nbNz0iIu+oB>Z&HDXgG zu1FMIJ}C?7dp1@XQ03~{^{}Ar6xMC)_Hem3uO=?joMPRen|-?m7N13h`$9#TeV4OW zt0jC?r37M>!FQvI(vQkNF9*ogdS0Ti^%dS<6>af2TPiXdcf_N^KvPWh7-~ksckmI^ zCOXnK@aEpS&8e|LPj1%tS--#k`jB_r^Wjy=J9^M~%#eocN{k{kA#Szj?O=jxqr#U{ zTi`B_e1Ald**By=WxtQ!2I;9xc;)MuVgj8jD3i?}pG#Yo?(gkYyjPJYpKsHpn&l8P zdM$(1vvV;@@>_}`F@lgRRuVOHl6-d9s^4QZLrGTpDa&Gce7R5=T}t7|Nz-F@q`Exu8%YzR#eF+5YyUE#&ninOc>*R)xY6KrJ0{9R&oUu3K=q7sdFv8=3}&|9 z>WP+0Vf(|WjY`dwPO~md5Y7+s$r$>=uCUTi4}y~O8rAQpN*O-GcHedJ3J?zQj9FL~ zB}5k6He9*us`z4q(z0fQ?g@7-^=_R|@+~~P-4wp-Nq2}`J|p(-%=kN+Kz$1jxEVC0 zGF)X_NcXFBlHd980%M5d(oE%#r1hA`&r3ubWKC@}TD}ULz!@FdIzBqBJ+!EUhA0+H zKvQ{>^G#T(o7RuEaC(rV% zmRpkJPl;-KJS1(T+~Io2b#Mz0$T6|h+T?`P0#V}~k)JI@4Vam|iRan^b|4ad%;$U5 zFih9_1H6k+rAfvoWwrY5V9BYfQ}rr@X?KHYQ@E$RbcE#5lu*_9oAKwAs`x6)mA+N# z&2rDq$UcD_yfXK}uVFgff2oCSl^+JCo=NAW6VDL?4i@c=m8`jRPjZ-hw!Y(6@{ZOG zIfQ>gf38N=#4uUYG5H_WQLRxFAWllj^#;A59*yEP6dKW#6NIRS6oebh}hbh(P zrPuZCQ~LC=z4ddy$*fazNh!iQ?N;P&PNl~;@&?Z3JT-PhvLeL_hTW@4K%_nxl8>L` ztS6%9T?Sh|nL*C08pfg$Uc2t>Vv{s=WqFXQb-W+iOAURkTrAuE{BmntT@O-&T-z|C zR(Yg>?O{Fhnye}$u>~vE<+?||ix(%{qj`2qP>69?*cBdzEMY(x8+)G2#B`~dWA+BL zN>t9bb-w?Sxuzg1hr(n!cLX7FkhBgp&35C~8+GVPj%Ja+kIdO`7e`gFhI2wD*$b`~ z`dLNMa^0OFkaoMSQ|+Vkw?E`AWb#s_keZ+UyS z_DqMT+<9k1ALA8D)dQnPIy0F^9xq9DAb~^eJ4-Roc(7M#l(s`*)YfZU0 z)Hpfy=&;@)?Y{VL+->DkW4S2jN;OSP5OfLcz_4sM*2$6G($l#k)eFV&X~-}4Y3bv{Vs_l}=G#R~V*az4s35GHoPc%0fbmK5P2F@fZ|x*3Rnd$J_1| z654wQD$lUl-}f^UZZ0&NzD@nijaw_K!gC+X4I^(0$7RdE@_2`($3^H_qZCY`gmw#46)GM|x%*zx)8X`Aru=zYno`w&x+ z+ibbt&MnGgy1p+~M<^G~XRvlc!bXQ(bZ-g^MLs$=r0c|LuZ=q-sD9tz~oDpiP zRpFfp;Ms5s+@>by^XnlUq>re(u1jy*PgHLRq}~GgXW{!ZnFZbCf$j0bzvwsz zXzgfgF&^P=Lrohxk`zStv#6r^d%#aqPQ`-BZOaC3?uKNy_R~>S=ax5?hzzICoL1THB#d|4=r4gS!`4{0fYdY?2zyf)!%}ACa@ru2+SGoNvkxKGK>?P?7PU@eqkj`YCY5WLs;k z+!Dz1oYrWVP0vdAGci5v79bt33%@8z@_4)>5=iY7x`4B)Rq^~?f#~#)%L@$A?Hhm^ zx4cx?^vd_AijkMG4+TnH;`U&mdCkBEjg$(UNn4NlLOYflM9qs6jMzPZey|Pfkbd;> zK${~Rx~8(#mwxzM>2_s(Q{RVt1<{8Iw# zP8wFFXO@7MtL$LL=2oGA8}PK5h)EF3!3}F8UfqCJDR$mcBIVz4%Cgv1_?tjmv>dfB z{1x@=w*h07cxNa*xsnIo+VM!o&~2BG>lv-9h0B2OiVxj|42`O9o>sDKTo$kQxEVrxt*RI+`59b{Q05WkyYkDjL2Z^hCMrC zZU1&R^f55pIc~?!H?NSlny@eR<)Stcg|-O^!EeqyF#LJ#$^Ji1F@ay9OuOLDnWRa9 z@vA)GYqg8TcA*;Cd@sn|O3vj}j;(})#Q4xxUyAmMQ6MqtK>V(!+aiC1J8#!2koOXi zibbJFt7?4RNZIX%iP@f>vlER4+f9qt1hWbMfjfHf&#%J-o}Bm3Q%qqEyMN<)1PWS8 zHu*kSuk^y;ef3AViArrc3i7|1Kq6Ek{6auiMN}7^>AqfNBlq?D2N9WyDy6ui^xREB zEDDaypAkUdZjDWm;A{ZZ#^W#4C7{2l?h9AQH*tUt_B9;Miq`fR(;Ef1%_e?_$)$;F zBGMLTs*g2)+dfE%dq!4w^?&$3pNa-kZbC%soUxzcd7$czBpCm^2Ely-x?dak3lw?t zK;)lK6f$}&kTaLzl*5L*yMVb1Hp@&If7SbX6?iKer@i_#>pIWmSVW0t{eAy}e%Z=4 zn*!O&%iBM=rq(R%x$x#Hizm?e3t;rJV3*Zczc?^+MJ6l;W#XBO0upX&9hP)apzBVs zy_EU?_}HvGg&oI@M{~b_6Nq#P?7F^=Cjw(%sz75GSC?k(*pR(PrymYT6`aH}4-fzx zMiZO;8|b|H(^&I6-W+K1)E2o&IEz=XlRMQT~e@9%#oAG|G61)f5T&k zfC8Gf_Qxo|KtiNe6+lhf^&MQMi$F5_@Q-WK-LPzBDT3WJ4PL4&aOK!w_^i5nNp=H1#ZgRm{b$*QzPDK?lfXH=3JqtN)Lob3V$37)Tez zn5e3g>#N1O_`Y?_k3+Z;__4$yfe&CFa2?aY(g@f57P+;nFvD?VEll9kgaFF~q%VTg z?Igz0X|t&pXxMXuMm(m0fA>5FSSh<$R41nhU<=52aj~(4QL+vUfwltb_ws=&*XdGp z7v>civS#U9(OCah-`sK$sFT)z*+#I$GtC9GL|||z$5Yv>s}`la9NH)j1awpLf{)*M z!Or81(P7q~p9r)rgC*Yr>cCB&MpSi6t^RS)iokwGEd#oTFb2e`2r#k2=V^ga8P|A} z{QJihnWhmP1q3%0zW;g?ohd~T6=H7{%8Lbh}ckEP*4) zt#En5JwJX28eQb1AKNd;H2whXrS;YU)m8?W1|Y54Wm=T#zCM@+=?fo08CwO?DE#Sc zA#lD_GqOQE%D3r*IS86tEYzT-wGyzKK9qQIH0LH=>OZsf`=@L{?!8UITCBIrVAfv| zbOj?I9N3B1ZTwnT;IpBv0&lXFw4p$*)^+dY+{vT1?yr{t4^m|R@Wb}}7O0C!oll#& zsg7D1^Lp?Va{Jn&iABvh>{2+AwE`mWgzBDu1X@y;~oi{!2Oh{^0jxyZ-K|Ihb+_ zDz75{`6?(sP9!cGn7H#qy*}xqauXLOo5xXoO%trjsvm!!Pe0 z96ftOrYwOiFpSItXva5STKo&W-c~NiLPxnhWBn1^yZaJc!d^J6-^) zHuT`-wY7R;3uE1r3Z`Gy0y3Y$Rv}->kK4Yh@p119M~euM*fMf_8%vFjT04dyj#&Im zBZL=@g)Oz9p-P)<%x1lyHVo2$lq<-_3ttQOFrHIy=X`~cM>Q4XUors*xd32_UjrD5 zbqO48p0>GeKv0hy1|QbF4@A8uHwRqy+6%yq@n`+GQe)!QKk;OAPv9@-0Jo^EaoR&L z*iYLBEGCx7ufVKhVN811E*+c-oJZ;B%!@4YJrjX`@e~FQXPtTT{kcM(_-d_Sc2ZG# z!gd(U_+o3tNPSTm7sSBIgIUrd)oo&0sUH1BqM1K7BDad2&A)$^neOu#z^YW!h~<<) zS?N4O<(7aD?p$#DL!n#+nJ8-4naz>`x2RL@per?#Yo#efP#cI*eaucs0>w1HBy@OTgn%~q_w zp>yc!c|Z+}M^Y4&xb6~NjXt%5R@0y)`y6?gY|`UB8TZb_`8xCh6>Q8ZVB4{{cD5gQ zf<(P2^HW!3M%zQ0=mj9}5XXRFZn_}Fr0mIO-&W3yKk#!}nfrLZ`yONY<%1p=VR?GS zCVk6Q(KZkLynOTIpXFaQG?3jC=svk>uK>V*lHXfZxA#t#C4;OM4|@%~MD=JeQ(Xe^T1nTby?aJPzW|@jg>w>wk|{ z@Zo_erK3O+Qs+bzAU6S)-PLyG#}(we|4q?f>J)I{Rf44HNmTJHTRbc7Cq>_zp#uA# zck{`)>;j*go4fPiQj{iHqEa)4Z}Q&w0{- zP=WS8zb>9pnzaO^xB}CD!djV-knA@>E(rmfRn=E`@Ai{_UiSXVzU%r&pT?zzg8IrB%Kww9BR0h`9g1lXQNf-{tBeyi z)!QX_`T?ke`%=MvZZ*nL_W|4R_rJ$Xo-IEnc{%ob@d@vK{N3v)FJ4E-VOpDk;{jKz zixC*HsD%x4MLA^dMH%3K{&UF{50qJD%>MgwfE&Q4=jaOx+!+H5zd-&#jcD zyzb_0t<8^b4=RyRaa*-51`$+TKCPO^Zp%dhEN-195TOHEHVz7X{u`jLnq2TO zhG~G-lmyO(5YQ)fgUo9wsD$8w9_1ETCxQR%4_Z2tFTjNrMDPR+fsIMR^zI!`-_#D# z^_$H$F^vLH1)hE3TN)woMsQHdg-Y*3XJy zyH9=;wBj&Usj20G#K5_Slu6*^FY{H!ET`a71^x=eKYzB`w-r!*>~Y_s0bzRP=~&4p z@Fa~erQ%L5TtiC^;)p zLIEad6+|S*(k4k(C_q7i+M>ilqJV%ll9O5#NI}8uU8vpn&3)gzd+&eV%$ryJb=yMK zIj7F~g}v8aYi+^}5YjzurMo9KZc%sz>3E~BC9*$urNBcbaxKii1(eF_Tng>_LBCP z{raYQqvDQt!@ju9y2{)_dy|5!YA*0p&|kD7^1Pe=7Qe>;(*?cn-~aZZ1nWzbz90Al zw!^|Ivk+<@l**0PTAbQyvMmFa;J_uyz47Y`iawa6I>l}jdNyrkRl1U-GzW6F_1|Yf zom4+O4!A;fvzlX``|}=-X4B`A0I(~1ZF#_Z2yg%=0Bb08uhe)qo9QC$lp)AfsYaTv z73g!(^~GOYyWbBiKrFQj>(Ndi7n}+7%DDD-g(&XS-)ijr^~`y=7v87GXMCGxnr15U zpkz1Pe0{8C^}{xZfjel6ry(selBvi*t(TtH7tK@rI_6ugRh6ZrvLI;gh0=m`zWUc7 zM{m?G{L>6>R4vl$UE>&SKeRR&+CoQ^RFg ze!Yx#(1uc&|LJR1M&G@VtKuP2?Xsr)eHizum{g87C{BaxP8DwsA5`kyEgA8*sp#o| z4n3(KeCHYFKmbpmeL(a@_T3y1$JW7B+DkwwA$P9d!k>OSMwM0vFba=YS9aztPW6y=4 zRhN4u_57yFXRvqcyo&{2f3%OUxtPW+edF{GBRRxTTg#FH!Q^8NTB3&&%hJ}} z?~;kXr|+h4I8_x&4@NSap+f74d6*h`kC^VtFd|LYZCY_(+wxhP2A6e%S#oBKIWcdY zKE*TDmMWRD$!I=1NYR)2j*ElX&|=Bnw_G}ykE?B$Q%|>wDUmJMTUQ~91d22r&ZCl+ zznwL?`VH+@V){&v_-m=hJH-0W%2AVhUAG@2O_hKVN_MG6$|387u6^9QW2^s=*l#9Z zl{YOKt&+H>tgzj`ZC>odrB_2#>O8yS^C$Fq9OyiL12~#oM?TLao%>dlISxKTl2$i- zg%pv&~%NlLJF1Jjq9s@nn|4l>LPm6l&`Eg5rdo|Dy<=yQ^_6Iix{ zAh3-l3;&ePhZdc3mf7d}2soFC>D>oLJ%^Ihv_vhHtC{(9#>8Od?-7$BO+gKlr(4t2 z5VJOF|8_g-w9KUeEo12pjIVjcFAzOGdkqfLgwdnIX|O{=M$n!#0; zm>1alrmpcu|CDNklWaV1G$m{OrqL<9s1<{z?UkMvGRC9pYCx!wMVGZ6#~44uEy-V+ zGFrC(O2` z^=OeaN@QuRe8SZZ$<1?DaCbcK)|PBA)ifLlT9jPiL~CFD&bfbdKNdg3v*kvwa$g4^ z$wR4HX@l?GMBHMU#VVb0yI~?4mE@jtX-Igd?xmXaTn=_1?NL>I^>!Yr@aXC2T(LJ( zxJ&NYr4b@lXE)wgkW5atcxD|saG2LVL#$R+<4Z*0^W=8DT#`jJE+B>p#q>t2>I{uu zO-Dn!urnFCr^G51i%5xIt%*TI-CPEvme&p63k-p6C4KRFNMQ0=M7*i zf=T9aPF36`U1jj;_4MsoJ8?;&pxSG=1lM)|1Zso_yyU=cissqvP(0ewVu>)=0Iifx zT?;AS;Dc%#@9`H^oOQA@BMA_RTq^G!h0m9C<-J(WzNTm$8oyB7A<5StM@4K0PXHQX zb&rG1j2E~Xd7+oru}G-k8BWfE&(5gH%{@{C~-GWHfWv#A&Ct5IhE1*oPnJ>M4LlRSE^wh z#85`nV~$>jLAF?8G=+FTD|Px1BuL}57~E`ahxO%*KZ6Ma3phO)y{UqgzA4{zG1w3N zoK}*aRGIHEwcCXulgrQS*#SOTGBBleD2rF~)qk7D?UM3UH%Dt1QUixJ2fb;x&FQ3m zd9{AZbKb;$6^%w2Hf$E0@e+y9%h3`mTunA~RGTS>8}R;{GX_!GwCWc_Qm9~}?7hP$ z^idKa#GShFshyq|7+zo{c2@=kjC6ZnIwTbD^FZ7`(NWM`1=`K7ai97t2>%R6OE_DQ zrX~vy(Y~p(x0}rL;4Ys4Ku=*e<10ACu{lYIM;h~@ot0-FFq9)m(_`*s#qFg_^5ta! zGFY%in4N1(Q5$B49u5?%RG9mPLN>u^5!M#~$ZtDJU=@gyWnX(ezkl89+q~IFY$a?npHw`KT*9fge5s!x-@8|} z_xVi#x8it0i8Z||kv`CQLYhnRseX$0BZ}!$NF8anM`~xNU4cpi8hti$5O#Vo4!_I4 zHL2G0<m(wE2ro@3-so|6R zoR;O7rJ&L8JT$t^`jwK~jjL$dX5Lp5ty6qr=r^Fy3VRl_H>lsI6H5+7mBkLvj~1LK zb5h&HTZi|WN9E2UqHpfQuB7Q@dArE$s8zOQN_P9mZ)M+4hC2`+%_vLJUg`?{H4TA| zVt!d`p@-0P$)~lBkA!xcd9`#zHx#%ICP#uf8Z0)ag97V(>d&duh?DSTxp&d)1D2mF z98s*?bjI(SyQYOh0gEGJ59}Pu+Z*y4B*+mEmY#6ha4rB-Msl;4Y|_4 z{`opamL=IHQW9arUUFh*!E5?-*7T03Q4;ld$$9?Pd$4sUtx=rpHhX6O)<-0)W*w); zx=Ii6H`b-jd1kMa`r!4Dr!S&5OM$ z`@^fXZ)*x#sZvjq^fClnwdKLkfd2fsc=-IRY7s+~a*upDtBY0na(Km!=i)EcAaWL- z%a_*OzE<=~1 zoJ!u`!8urQ7d$wO!V9%?Su&LNFJoF75=0zBlgJs4loxAY@op1Sww^@nSfeOc z`?KZ&{a~0QQ_VgGj+w&++HQGS>>ZphjwmN@1IvLesbMDRHEM)mb_ zP8ZURGp1@Cl#AQ!9$TLz_*JTvXuv;?U+$JQ1FuS+ZUCmVjAle^lUCf7Tq%HMWR zQmuXe^8219*IsM+RtagA*+dj+w{sV5Tyt+Uj+8Yg7glh`Eh%%z{>Y#-#l6P8wrM59 zRY`2$_au*c<)M(EBAcqDXU>A7ic8eGB|dmw@YQtC4{q`Z)hzLd<%*IyCYiRnUo_Uf zK%b=E>`%UK?s>hB?x;yg4a}wN7bPZk?M$<6?Xb$NZ4kSkTg5qZp^LQp)|x-8-geiL zI#ne7SZ~x@aVdMwSzI5b$kPyO)oY(t-Twu6@98$CZ)L-{d0AHRRl1?0Cgc%m65q<6 z%T+Tf#7hN-pYf#{wY;*XY*TfXYDRO=^wIPuhm+3b`9ybtMW>#fSG0cQlJ(M$Tjya4 z&!-Z(s#OErI^y}ZP(B)i;T3!5s3 zQRmujZu92R$r!psl97MyjQKS)p)E>xr^7s2_P5^S z!RS19RsFh>Lgc;}*>0(K^JzCy_nz5xtNz>}>kV(8`_$gQ@Y&wc%P@ypfxx|Nc+T?_ zK|Q0rDXiNXe*Z&#yXd~X($0(Av=(c`wC2d>avIc@v<|t_%0smGDH_)KGKj_mKS^3? z+o=-Ak(L<)5TL51t5+-ZTeXY>Iy=<7(fR#_0G-j5X~junq2*J3uDg_sx}$QWT<_uLXIRt%Cm zyrF85UZ5y1G;CkSm^`2LTfu$TX{d@x+xnf%HQ6V1R6ck84gfXtayRU2RB%p-?j!E) zzwV+Uwr|+V)XXz+?I*y`2bx>HK&>QI&+x=h_4XYhN28mvs3i?<5yaGlue)cwa!*cJ zVn#~({wJ3OBmQGd-@1=4Ci@>&m3HyjZwh*W0h{)gxKO*_8O!!Gv3Q#moB3%bb?)DO zqG7E5?Vlmvlv}RHY4~>}2uAg}z40_OPpGDgwmdoCw!GGUE#^`A*+Ex1^o!x?#zbe{&0f2^~Do?TvyRw&dVN-{}5UF)` zekt|yj_?0%;>0WsYP%&!`|i9xn_PSA>v6*3@@)~DFVt=dYPY|oT^D5G ztnKCN#2WE?vx35PmrLS%heBT-5>HQiko0M9dsUao>Z{)q9GEk%PmD}AjNZNGBD06TYHi#Jo-dy>khu{o$2!NmoCCH`u__b55C}dMzyX z{lXLo$2nIYU%X+{VCRSWu)vKp=QHB$ZNtZu*V07%gZv(OT7>oOPO}mbGHLwhx=A_J7RY_@r$?hS*8RP{+hKX5CWyZu#DBiTvY^0RZzdl@gFf}tKS!+f#$3rbg zy%6R8f#Q`IKjB?}b50RS?*R(&RJ$rr zFMDP_VQ|B)On$&!E%Z^pi#bGbZdq!4mf@SfOd1AbcKdm@iJf|L<(fBr_(pc5al6cN zn;EMxq0K7Rk0F&_bC z@$lQnq+YOONzO1C3L#y!;dy}{)Hf3q!njl<2EVYm@-O`*I{k!Kf+k@0XS55U- zono(u#^*D}C4l4h0JK(7W~;*7uCE^=byQAOKT26TE3$9fo?W2sL;Y!&QD^6WmX`q|T%x6)JK^m4Li zzmv>I@5io=qHKjmDU4=)i`0iL%EQATm&$K0ZB$nLbb45Cv}v`XCuv~9YbV5g_AI-| zd1bA^Z`AL;enIA;wml=cWR#>h%rmCOg=;Njg_rO<`KTxahB*uA27dN%f7IU<@}XtP z_Db5e!GaJ^DMPr+WZQgp@A@FO4)u-=EQvp-kS-~842tBu=rCJUFk5lXw3hqN`?qss8DVAK+3+7Y1bgYHfy6wJ^U`SrA^BHsfl}=XK5BA4*pq`UwnPK0FnU5@TXOnqt zOE0SyWwgcr^;q`Xqt4jI8qOBJjUCfILE1)`Gi?u|IqFR3P)x<@Ykf-^HpZJJ4{MpzN;RJ9nuo2~R~4L_s`rOXY+re={6W~Mz4^rq2Ad|gqpWV|#$*rr%{bQO zF@Kmojo}?m+uf2HZ6zYx)L7N5c>Xg{VqWCb?V5Kj#;2DOj`IFv(nv)H&}U5y07vxY z6y&f-b#15+SvlHr%usE$`04VaL^&ug7&JeTt4}PO=#OXK`A5DKv%lC!yu@~C&=@kV zBW8D$VvkKuAy{aBaOh2slErfSX7zW2KKIiES$NAT+(*bViE@<_A;->aZwlkyD-?7x zWw~|2aw?>B>Fok6RqGlDnGdEdewmwF<{PELpr%N@`R7l;z$}AXF?K3=M`T+oyL~r8 z`ieAf8SVDCZHE!fy?{RA^beUSLc*t)+B-bZY_nFBd3Ds`>3yNhGb@!XjiurccBr}7EYbm4@I{K_AJTrQ+I=bb8Te|zX1GN{W zxR(z1MoDy_v#fr27g~udDJ@H=c-*Ptex7PIsU)C$zC?9+e7kad81BgoVsyrn_-|RM z^OVvyK7DC=?2;#qPSfw-$m%lvU9Va`>b^G zDBh)wh*F+OoGxmn&&B3i*L}S2d?xYC9_lsFsxoBSW%SnRFlI!2nVT=bWe=m?(n{Z* zKAh1+&4!AP(L4}#j9T(3wuN)XIiUykUvW;=9Xf_=rx`|^s^NRS#Ii>2t`R6Tc$AH6 z#FKaKPVl_k{yW`kA7`HuJX%eLS4zCigYl?0h#vV&O+o!Rv&yFNkz#N@qeQ=*on0$a zEXh7wzkO;~FXl$89+H*0U!0oQ_gIku{9+X1A*=9ZCPFwZINy<6F?G8yXO!suC6X~0)J_QuY z%k?h{HvhiO!u|&eE76$xR8 z_Qn(ht=T-F>!sie{KTAZX&S_IMA}N0UozLH1+t75NR{^TJ92}qfN##aK16qI0;(qK zj^0HQVxn6Y#~r5xYX_2gu~K24G}(Dw+O9NBF&@4ndx1+!@1_&@HEgwCiuYSzj@rlp`C19l28V`Rm&3JTG7@K zS}Bv%M{kOZE*l3r){u<&hfDG~{VD44?Rikzn5Y3OOJZp^YUna{3{hI`!66@x03plF zbBhPxen;V-&a(oZ;hS3x9?=t~y}-gKnwCKEnam>^k(_M9I)NtBG5jpkG7rsik(*1D z#l`@`SWawme!C}t%-{g$uwmKZ`;5fW;LlGGH}!Ok5UuxAsLGfY<)*l~8mPZ&6Z?w5 zT<_OVifz|;uA>+f8|Me}WV2eHl$mmtiOYdeQZ>!+5LW!E?OVQQ(k)veU4hI|Anl{M zlRL8F>r)_skY{I+r`0=!Y*sivWQFy^(qF-rgWTPUkRq|g9^9KooD=lnA$uhN2l;Nx zFl^Zwcb`>o_LJ#u);@D6Lapx2gtaBFE3|tNq5Wak)cm6#Q0U&9>j>KC0Z zrA-FR6}*ON+4?Pi+PM94LxOO9zk7z!`$4f?b|j{MNUBe?;!sDV>=hJLzzE4}fYk1Nn~TJLqp4h=trMR&qOZSoy?Ju-HeBs2zeB!oB( z&CI@1HpnQmJN#ho5z8ig_dsF$?cqcgm0j>p_|zn4W#)VtJKYH7tYa_QOt&rT1Z ze|bhgY2xnP#22!ONJ<@{6`=@+*L)@Cg^7UQ7YRIK)sTL2o19INin5}fux;UV>xX(r zfr{wH7}~q$XI$#-c}Kvjwi^7o-nHa@E3Mf>qNOP+`hLA*oT*t)`)y;a_O;sWoA+8j z+r%$h3>9lf9>ij10#&R6g{%T&93wn>bfMy8G=GZhzH@v2y)zw4DkrN3ZqobB)t?1g zS=j}r}D7w}L_>*;8Ym?NNmr zKw%Df4#@Nvt;{aRTesn9{H2#Gmz2tJuMb^$5$wT6X!Bu;RpyV=_6nK5KyH)l{I0YS zmJq5+ikI~faN?dJ+7}oTNp%PP`^Lk`Udl33MEbDP+X=oHl7!NT@hdaGHCpV|FP zjgt3PGf;x(r;o_HLe6PGQeDxe*eH88N4T~6Y2##|n;A!LSxaG00NC{HG3Qma2(+X0 zW!}-JDCmn8YA}fsZi$td6091NIjRBg>?^-D#BCV>E8f98nfq$H^{>SUzdX_ImCInZ zPAMoX$x5WXl?|~ql;N~AJ>LaP^9Wesb6n&Z(rLA~oirOl&wos_&rQIIJ*EVbFSFd&J zqg1JxxA6L=E)k}7in2%~DZy+3mjTdeo-1k}nx$z*bf z?5Mt{m2bvjauEGkC8x||%^6Om%5D2j!?7IFC&!uw` z&zh=LXSaKNtoiPJ^*EQ`Q+I~HU<2-r36n4hnA6K_A0x>}o2285tcL`+Npnd)QQDut zYDHdW-a6B;{j4TSdMd-AS@vGjRN8pT2kKmtXru1E!6{Am9jc3$YPQyB2jqBl4yR99 z#6J4{L&kA9=C@vr=P zzejqJlC_+2ta8NEZN2Azu(^Z|9xzm6Z?N`K=!^snM*65o2luF4+w!&ueTrSRLh;#@ zjP2=Uy}tLS*i|CpP5G+p3MfUs)Y$IKIxgDo%*umWmqj#IYONOG&1PNU1_FU_s74m@YI$J3k=1^&u_DTC%v+(IH5lsM(3@knb5tx9!qXDl zt7`=|rR-b#@^`-NpibIzrY-G;sKRgP4BQJ_H2XVB&F}ZZbq&(6mfhTKefkI#0jjP< zbPQ<|SdVVm9?~Q&cM!OXMM59P(8=Is{Pt?e=J~2AdV%FrdnD@BehR!e0A|r<_ zD)g8JFkCc9{j5r4sN+!RQpfaa+tiErmwecixy8|=+Ay6EdTRhO0z;j?pb=qYMR+bV zDL=~zw8HXzk%LEKwAkzJu2NN~6-iB0RR~Wyxr4H4v}=Xz+bLU-Z@|G5kQllt(6-;u zK|W=6N9D)s3U1wfZqc~4tDdM#=vX1E^ig;5F%v!{^$D!pZ*Qo%>440+lx(ZFO(UU)q;d~gZJB32{f&HViVR0ZAC|wDvPFT#W!rnocwd6vn zIdF0aJ_=tzU2RZV{Ura=o?e)k=4BKTiV>K- z!DNY^9?(oc(6AM6&H-L60X!ya9rhAqc!OHd04viA52ic`Y{THUQKuogNpJ%Cx^5ZQ zYUaVcRvg989SBn`tA|!=xY2woYAtaf>#^XE*E0FF(6Ruu>bQ83Xvk6I6uQlQtBn>h!($%N0)<=x2uhS4kd0Kso%4|E^O z@^Q$mJYarvi|)43W_XXE^2y~$@ijSq1*q~>ZI&dN%n_E$07|ck+Ws(f<8Jt!!1je9 zrMhCJ>=mTP!Gd7u25>tPdf^MY05AeCRvY?Fw28rF0+a*r6M?~~Yl{fm8ppa#LmQ|~ zH9{e3(PAZh&LcXBC2RzN>`ov7^g6%gt*-1ewa_`dJr(2+NgAKoT?r4Q z;0}kK|PauW#(dwuqJ3U$`}AId z->3IKFURha+W+Np2zj>%O9|WdFI>mkh3g<3_-$d3F$RoCJ_FYHyQlzFXQjg z@Go4x@HGE(ZgWo;w*C4BeKzv>@|!fxA=k$)g9ou11L_}HtprdVy)%-53y9jhFr#~P zudPOb5Ky;z`7sRO)k;<8x6OWL5smD86uPdHnW$gj+}ps?R-PmP>O1@nCQoIdxlJVE zr{*QJ7GAEnOUF?NVy>9Agvo0+bHb(&yuP7u z8l*3088u<6qi=s&vg`X%eTQeg3SK(6NH#1qwG5OJ?{v{ZDs6gq4)m4EgWm}x8jaZAoSFM zuucr@(t(ZyIEoxMkcv*zrU1J;TL&yPCm@hVBCm1>B;vi`4!_eS8c`0v=#2+@ln%g& zUp(R!{A2ruLx9KR0&EfiMZZi{l59yPe81lECF}Wu<>tOWjz9)kIAUoA>TH|g1|;MH zegk`FTQWRC-+{>?Tx5HWwzIIIB%pSctQFA8B&yIjaA*qevoxfsc|_)xlRIcbc==9o z*LkrHyF4dsh_!YRHUy}~U3s0v=X==CFdW^Fz7sCaBzMSw@De}=<4NeCIW)zp ze&k`*xi0`QX0O_D7OC&T0mx5s- z4-g~mrm>EK`X&b=ZuTZSlv4imhn?K3o^K`d`INtnZO>YUS+0(`?6D;fDR*SfABL&b z{QQpfHgrkJAY21CYSa4OPT+9q)E`4=R%i0MKgt&nG+?SV=Rwa>t)q8dM{Nd9Lr`7E zR1l)>Yz&@>%@=uI1Zpym-T*n9nOM#qf`HVAvNs2k!Rmmu;Bl&ItWku-WI9+l5~51B zZ-6oO#0h+*^~%Iqc8O$?8&rB-bG**eyo$9B)Wl8uimyTWAE_VoH@XqfiEe1hGQq>* z{qQCx7kP%s{m zV{In*9q2nvEka0Bc0yHO**MAoVJaM2FEer41K5^K0UDCT^rF`@w1&oik@kxRWP_e6fSac_~V?s5s)#NvO;fwt@zM@=^1c&Gcs3TA$XcJKTWcsLpTeA zaoKJW%^eu(GD;6L3jbLXJxb9FTf-7L>Jq(SICNmmpD5boCjjhMZ8;L?VSJ3K5H0G+g>HRv9=J{CpMl?f6{u;> zpvpS8N%K@~)gOhQ~l?kk@5sQR5Rm0xxBGkxcb5vEzic0SA!gCT# zDLXpPzQrnxEswu08%5MeDhg%Ct7MgWzQMvH!TbHelR%WRGnXjzTaW;riqsqqPkfah zWZ8{9e3~f$Qs=~oJq$->Z>uc}YG8HbKxN9X8LKFQeq$NWp>Ire40?c zZROFkunScI@AAA_-X*}e*K9j|kDImq>p)^~0b?4uwjDWmi}6)qMR*Bp)ze}?VTDBn z07wcI?W*GxU{m+7Rl{Wx2>)$-k$@GN>CCEiW09k7yH(1GR|5 zZv)cEXjXcr>Hc&32%liHAA1=ClNw&CvcG~?lf~*UeqO06xbpt^|Nl*OcR#M~|5IAQ z{~fNGnR`KYFfS%CGABeGOjv1nqOm_gGn?Kd1UY7CL%;0Qvv1QBU!U?;+kQiPK_Vu%K%Rgs~nuPsysiA zKMG~k%$;jd%u)3)V5b2HA4pEnN-PW&joPhvEeBTr2$spP0*5nwOi(d{`s?%&7G}j0 zduXF7?i)0d&cga%FYHu~wjK;9HiK#!dzx2WUoZQ<*AYZh3!Bj@$0JjFt5#abz2OKY z%5C+76A=PWK|Etfn$H5TsTcGUhoNVocbj7wqY8Ko&0yT?owRBuzBAeazxbK6u-0MG z95f|-efEj72qwV+;D62-oSIWkP5*;CWAy&vX$^(CrFmMQv|AfJc-Cid0v&|h53k-Uh zjtU<@+OPBR1?+D6%Q&H*;Z~jHH;}+k1J5_HBpuEuVEywd(GRv4f}4qju~u((x9{h6 zLhzSo-Wz!Te;F*pWBkv_Hkn68%wZerSlj5fK+G4B!{h^}ZANUoAR;<#D|$8XIKRY#>Njjggrcuz zku}J}@IXQ&mZu_6am@brC5`^bFfhD}z!0+6maUNs)t@%D(SU%Tr#Xk5+{%qzOxr-6 z%Iq26kLCy8&}==XWzV8jqi4Zpg1*)*3Su~>lKhIm_UniI^X%Dr$(0wTBBM3tyGw=N z{X_z_%Yq|`SEQXjaHobGkyATRW&OFzMrcgqQw&SbD>G@upj2w3*#|UgC_l2|C~8;E zGqA)rLsaW|20k87v&?0`lrPCMDuY-woQcxFYJV8Jvu*kFF*JpY08LmX%2)WAMmiAV zbq3|UTpITAdNf7#19RnugZr&y_4@*Gl&%~+%rPJ1(828&LEK``PldW(h7ai6@^mI| z09DCR*X<@&i_jdVc^)&ONYtnHV(;Bw;6vctwqiT>-Wxp*nNB{M>XUH8{Jd~x_|041 zZCHkFf@xGxVU10RVhTxfrcVsY8(54$ZcR*ai-Lr_8f$_>Q`nvJ>@X%L_zHXox^ZBU zv}&)(5=pRqUeIY?fj;1n2+qy}KVoMC9oAmv3$oPNi) ztp)UILZEfWkI!urUbF(Csy5KIz*K}?LYC4EG@V|^MKgTh!HhyqjF36D`Wl)-9S4Pq zYYh{Q?*_L&Ndw;>$1+(1h(F{7XQ6@$)0AIlRmA&==b z?569IraH0g*8{_0nEC-V6i(1n7OfWYyeIQW{75xNHFp(uM=Sjno)d=C2O*B;+#fUE zZ{-HR4Un`sPNSd~)%V{Ztcb*#+^Q4M9e4>7PTYFl<=vjc&WMMhtO0XsFafDK;{bju zJYRO}Z^;H$$Pk8a_!1~ear3(RcRFwt8(H_Fb~3;gLo|E^-uYFiD*wFimn+9MuV1is zxyi5K@%-tZ!J~QZ0xSqeD7TAbPL~nFjmnD6U{lF_{Z|2L)oob3$6`hL8;Hpiz>EZ< zD9w$2cy!ejxJONY36PU+&%hfP`XkCZ&b(8Q)afCu;YZ{X#tdW$JzX$0&!a4f=er3E z6R>}SkNPPqFN9Lr$ip#*WsDyuGPHCw{c+BQ7)g-s!>j%lvM;e0UN7isZ1iD2+5#{l zA#l@=sM8gW8jkQ33iA&EHm9dpZ2$|N!Q4D3J$ZyJY7Szes#wiJD6$0XFW%*~L>xwZ zd88h7iM3|Wn|P(#g4JH&$pTNo6liW*9es_7z`&N+ZIIp@l4$4jo?+hCD8pJ{mO_z9K1WM4SMUlFsRrMhH(W!vR00NZ&aN`Glj4Ax^f3zU{_hm6h03PB$KkhLaJm3#b zWY3|bwuLxXhDb1&Yvg#&0d>-Tx~uhhpJ+2Kv7}yz!bhpIxM1iV`W(U#^9pqBv6~eQHgoB5x+lInrjZ~+HM#l)=*F3&n)i`sONdJpyM17gM zi@REGGID6DxZk*F)^cna@EUJL&-0zCoAvFc6)e-^)2NfMZ*kV@i!+$>e!Zm^JH+dI zf1NL!)$Oo)JW6)*NRpOP)OglAou6K2e0t}h>Y8`%?9w`Y-0rgT4MS6}Q>0ICC4HL$ zYFtwP&ECT@)p})zWqQYQKZeauc+|>yMI4+T($A$6UrRXfHdciajhyGH!d1T2$D7A9 zYA?%IkGu3!Ga^!}CWNwT_;~BSzJU$VJGHH3Tn3c9M5D$*H@4B9w9fIS_ay(k_=;Dh z;`yrF!E&WaZ#o9krY*yCNJaK1C>s+!yJ8EJTz!UIx?|5c@H*EBI{yhj%^x@SE&A)W zoV)kkD@lW%;#;#dIP=F{J-c|#uL`;ohbBu~pKIJ4ZhULxY#EkXWpCcR$1(M5?l`~Z z&VhV6(Wl~U(K97|UXR|D$_D*eI@O;$8C4oE>L`VanoI1jrTOTa6qp^e-KV>h(>=l} zuQ+wHwDQYn&^RQd&ZuI|*sH;niJYGko@sajmh37Kdk8dpfV!ivt8~@<$=N6_;bM zPQAk(Eb(9PQtL2Jf5d5SfOT zOXIKHVzui(bBh6?AG1)P0-S~WgjvO5JBx~1nEK35{&OMu_h&3lLcd!d=VZjVWi)E} zSewC*tXk-ektpsnssdvV@i-snArIvNDD5pCg!6^WX8h^wu3uZ`|IDQEA4XgMc!S3TLQmiyO-FK^;qE}KZzkv$pGX;AP!@m{j3jQ3=GM=!IC!HrwnVIQ0o#?v4tl` z2)#pC0B5jiw&d^>F!?WPw=!{*JJ~F|&!N#J>JI_gIvWk-7Jb)dooePc1*|NaZyqX? zyntG#?acA0wJpk3g+rQLoQ4b2XT(A5Tn&|;AKPo_O8|pM07O3o$$|#h$#J7kAhR=z zc0j-mCnW^2(yQiQu0AY1(mM}zS$>3vi=I`%G0T^Jg`G393`$|Wz~JPD!lp5;jM+zg z!(xKz8-|yire{Ko{($XpZW;a5vZZ_1 zw4zBLPv~(WKFpjt4P5a{>;O~PQe9bq+CWwh)(XbRG5MAvUXnK2n+b6`|GY0mO5r~X zH$AS)qG~WU9kOJyHICt5>9bhSepM`qU|AMgJr9$)0Sr7nnEeajs>S z&T&M6Z}7jHGRtN5&O?mH$AtV41cxCQ?~o-1S13@2?mCCCIL{2M;kM}KD}T7s6VwY# zm&4$m=&RsG!>`gXptAhNPxG+m@s+ZV46T#HnWmCXU>gvDZAHNlf=%9F4t4phXwcd{}e*R+>Pa;nB{u+h^}BTC;rv+Rlf=5X(kn>iVJnf5cozEze1XX^FRy ze#TwH+c)4i{|32CIQT~DaIZ6Drs50~Ey^u5i>!hO6q_ z-B7{XZ+DnfRnC2W%AOHN3Tw0)*9!ewx;w1#ZCImOXKGle6Wb`mnyfm}L%h0d>p`q& z;#g#w%60)<5-;U(C5e-(Y<)<((Y95CIRf|;)mb_F~ov-|NigMsn+0`QCi1)oY#|PR{ zzlZFs_(=?WqI~IP$b2K@*GVKn5-3AV04}$W9u}~mJ`)^J3k-}= zz&0d0-3^XzXVpe=%?S)8+`u9}-2-U_P+d+z6q;xhnzlK{xI=yU4UrvofX)&Vpi=!N zorFPLhJyc7C=C}2sbQopFli4lc5_$|6f?CBbwLK(yg6k1_b)JG3+&Lu^ZKq?6Md7b z%YG6#2B1M}iZat@(t0bbh%sn@H04o?MRf+`?rS@Y#^7G)LB8cXG2?xWgN@RkkN4{H zV>H{vyto-pyp6qYpyIet%x-61g%s6C#o$9%1-yP;Mk)C373S9@BqaFkLX$aKj2ggl zE%T^j2+H{xBnRpej+@oJ20aZT!HKJmE1f=S*7X|mb|gsPnEjEt@4vJ=7z)kBh8e#; z+e)|rOLtC;mmvC=<^qi)94wcL`GC673+vP2jLck>Y2fZO_YPSPjUQs>|Ts6MR zudF@#J7k50vtZlDi$EpQ#tuE=mhDB+RxgkPdBGygN?h(|DRmp?zfGPWen%T*r2pW{ zZ)MaXm=?@eRNO*>iGTUeqQwwU{CFuW&~)%`|M^_vU$E~#nGY_RAw(wf>|*h5V3piA zaeu?@%^{nP9#vVol=Jt+JSR7vSd_eSRYTIs-}iEa>{VgCzB#1p*sp4Q z%7s_{+_?V_ELy-A)^g>tpD2F;j?@uQehw1x`1W}MPMZRiG%48aPwLmd08$YNl`vgh z+W0~7g&V)t5)cq|4LOEOJ3x$$$Y>aO77yJexW9aato2l$C1or*3zyirlg#A4{t^Ou?vj1K%}jGF{pejiYx zk6ga!RtE5;MH|8-eq-WKS-No9dhiB`P=i2Ssbdn)rDlt8{T=EF<P%a6p2x5;!%8q)8PeYQjy@kR+u%6JO(}CUV zdbLjtg*sjHOeSjThMOIQizTpiHKl1aLVP?u0Z_H&q9t$-oMT{{@bt>VFJrvX58oz2 zUN1K*U=LNYLD1c3K#+Q_2#O>PZ$mh}7T(zX$G9gZ4z z_;QsT9k;@fCQdCtJN_cDm6PEZ7ROi+SuTR*y#d0iwvO0k@HWN*!uH@(O^hh-CkbyfuL>h6eLjaPGx z`PA`L5B?)7z~9S4i3amg{fCe6|Hk6fWK4Jotj_2H*yhL|udPnm$f=ODMfdC;4xjIz z2BA7V(Bx@R8xxL`mka=UGHiuXwJ=bu2kIYM1F)zDxPN2=^8JR@kQa}yp*@68fx>l4 zv39x2TXzU}fB!;;$CCo&%{?3tYFI;1r2=jg>H)2;AmL1c5zYq_)_M@qHx*=c8JLIb zG(b%y3L^-~L0%k?}%yVtfOXG!mArxB;9^KDD?bf@^mi5nw<7ql(CIKuaOcP+%SHBSPM%j)-n! z&vlmd>MT1h9i;~jUcaW2& z`cNn%o6Cw6rsde0Huv4@w=k`#FfHFKttw>+nj3M5pK;k2#|Yc*B`?8^IB({md_X~w zsw(BQgzIrVs90)Q!*i;e>jH8^1Eh_5R>U7S;Ap(r(QUHcSKQ`-(3)RV1M@g{28OE3 zG!e=(_c5rRfW;{lc^HFeagb^xXWft_Cd~Pip6D~}0BfvSS%zLaS8tMf+tg6Bn2JQ2 z#-tP+-Os<;PXJ;<@z~oBW4<}}noAACVAjB)3maEt!}qT}jj)DC`>)yF@R}dfBYX`V zB3yt%Hf46bVDQ?1^)@>Mi=ax?HCm>DOJqi`8LEyKkB`O4| zKxyuTnCL4mu+L^TmU%sF1caXvpP{C-+MRMhQEM;;{$4#TwPcufuS~E6!BfTeFHRz>#V%!5GYtpY(q={?B$UWp&R(4QzVS|65rZw6AK!b8i z#^n9)LWQZ6_aHRBRKun zDY@^;HDf+v*M-ca{vNJ+x`6AX%xjQjWs1w7#?m(EzF5RUX+vbj= z;DOA~u*K`iFJjqo4|x(v=qGRe`E7_bz?*82ab1yw?YR+RwHV|MRtMve zMehCM6d0}|K0Y}GC}t?oACo6Q*To5%{CSn0il9@-U~h*CfMkAMMs^WTJm`(B-#@-E z2>ZV}I*oe*F)fd91KMv%V!|{C&3Lk!74bA|O74Lt@qb)5_+byUBtS91nW3E% z9V;J4uMgaPf)L?@$R!)VLM8^QCL`kmU;6n$w`2{P+`73^kRC~q>mW83t9Gkzmoy~` za>%Q`K&JlYSzIiRat{7D$hyTFc0#_uw_$gR%2_DuXBOq#=N4^HkmDAy9X>iSKP~z8Fue z^}E2SX{?(;5x+PvuX$-wC!Y>6Jte}uM3W?`Fq0(PY#Ki_JgSu?Yic}Svbz1z-LJ8! zvdx;lR@aBmz>S>P?*nf8awBE%M}=S*9W!Bik}OTS%$*~Vs7bO>CJsH_$av6whDx{r zQ7~7rF+iFI=Tl}sfFDzb?J(L1WysC}u%7(lI!h|1N21q`U0#T0xn;tU+mUmM(?=GX&I+$RrrSgdixG`m$I0pyVvZJl`fu# z@nvxSK%e;@0cb=0g%-_qJHw!|f-+Z5*6xWoRU|II-ko5IE%W1Dm zQ{!OcJYUiv%gyClRjNlJpQ%zN=62IgE`js|aeaOIE1N1xc;sjh7?=|X#Os$aTpdVU zv_g>O#1#z3YodiaR4vaK6(kOOgP0p0Qr<9*MY{iwi8-{JZ~{fm_FoPBB+QM~Pw-4VLSt0oTF-){A|NVq`iL2N0HQVkT0t90FpQF`#kGe>t6SLuMsWno$&5lA7*p8$6$1RMNG$fxw)J=s_MpQvR1&$d-;xw{|I z2(rZSYkxo7flz|?imMr#G5W|8JrFu>HJ#s7X>rEw@DB0v{Vo|OF(U%7bP{HPXj_;) z)FPf*hAZb(CoQ_#)BBL>i^!Jqn{uWz6oh?dVU?{SqMKu<+zfg0tSXh-Rz#B&Ef zq3%x~Bf?C;qPE>ti(F%7ZD5va0oo0MVhvoPYpsZB(>~Fbp#$dz2C7CsBG4}P5n)}# zVG;4xsU>Z&{0m@ZSCc^Qt4&~k8P|qDtuqP7p|m8Z{E4Wy(YJysx^`sg)ed!>RW+1I zI%oBb5$R;=}@+B2;%} zwBg(0>!C>b!2be$SRPp{?m8_K+ee?m*Zo;)lsyx)s2h59qnKXT{w-@6@cG^bLM_*<=ao z*X!_DS6R!6Xhwf*Pua&WdrD4x3xm7vNZi02*8f=ot1+-jr$7X)g~kR%G?`nv5@)J@prRVwKua2Y zWNz1eJl!lSX+8-_`sb}3fRugq1wwc>^sgn8*{==70L8#AMy=iKF0gO~8uVp^Hlc|V zE5PTBSLuEajaDN9e-Ih7&1J8kVtIoPjqA}rH+D;uf!)T_stF`Y7Zh}gv29g4gv?Or zkA@Mjtp>Hg3v~s;w)@;N%CrD8NS&cWn@c)t!X==p6nO3`a7=HM)+kHRM=P-%;Pe;& ztPkT6dI0zDV5=pXiTLjpybP2-A!T|wtc0w8S6?sNrd)6Hw!ONjYEP0hUJqSAmmdoa z{7meHk&eR~ms4arxeJ5YI3^aJY&_YK(5)O!&?%439K%Uq4F>ts>~^OKfe5gVYZZE) zIlk~yoq96?vuqHqw#{&mj=8LSB0I%L`%u_#01JFy3FLpev1MD5AhdVDe2!-o>LCBI zQDPua?wcS27$>F$0El6h8}sW&5;zlo3PAX8KWQcnk$^Xy!P%}gZ^v6f3D>Voq~?2 ze_x`9SMWOkR!$vPktuoK8ozr%tjf}hmf(~B2Mas&*A*gyRfz!W#Y16^&uRi>tIo(I z98m%%OJJ+zmm|>*%IUM3PU@#5N-hB+RKYq1EC7Ad7x4JI^6&k?-6F#Qv!)HJL;@yD z>k$793}=^WkaCfThTq9TIct<*gkr?~#%$@0cnaCYVKcL-I9zes4R3Ee>s$)MeZ*?{TERs${2`H47!|s!l zoCnGV9#KQu(dpd|Ae?nIz_&Wk$G_@|BpA4FyX;QM{ToV$=m_hxRfL1Nj5G<%N=Y0{ zmlxXuIhxXi-ha1gD47kC4Le03>*ydw>m*pmT|%|c$7li)g&K(%|DSxqCP-VV+L0_c z2?)G8Ajz@==-OW#aCIlIu+;P{`2sLu5_$o1kR zd8SujI^I=O+vwo#{qN2UZQ>@w?X*c$l5G5`w!fBO`}4mquKc4sL$Chda5q@=_cEdt z#o?B|oRs$&eUDtMvXQX%-85uMyGnad6*DV^G`eTkfZ(HxoXpT2D(gWLaC3*mvR5S0 z#5GAA)NKY1P0@Og*lM9B7t~M>N~_IU;*4?e&jB#*D#aoQhTMc)+bO32`Wq<$rS2<8- zvk=|>QZW^L_ey)D;9P`@gq+HG8xtibkTXRYi5TiHT9~1&5eSE8I~>?AP?@#>%S9D= zhq}T;Hh}h~{-Ulzmz{!Z2E6MuT;IlJfHl%T7wK8$zao^!u|p8Ip9q zrYn@(_?ZAoZp*2*aX~OwAVNhW7c>J@66sG+G7_N@EOnyK1K^H_^dohUf)ZIHlQN`2 zGJy}b7T<*c*F!C+Cz5Z4reSF>!fkT?A6N3vJ=?gfT(1P4&Lp^3o$nWO4F}+!5orHj zm7E)!x7=_MMp&Ifcd|3bGme=n^B#_)4LlJt2?I15sU01B$*b9eZ<$|b8IHthz)e1*sDSh=Tf zYilHfnM>PEZ=$0doxc#{$uGss*s46$f)8 zGG$#A`eB_3r_j0sloeBB2TUX5jc2VN_0R3wSY>RJ;@Q{CfA5;!|GaB(8o-h?&LA0F zuzzc*iKwu*xT~;|51jbLj@X6!&v}=fo&OZ0I zW}Bq=zgceLsF9$^r)xt~1EO)U|TZUuU24kMr@AafGNqe(Th68p&8{rc{Ebe?VA;id;yvvLvVR!)Mo zAD|$|Pcxy?I$dUsub3^`=tpU6e9;ot!IT}h z19w|v5K&d~SPc}T9jHLq;7uS6^)g>Do5C`*FCbBt)ys0x`XcY5}DsoSVx*L&F6 za9ufdcKWrB*NSV;_7TznxTHJof%RQRm1UIHUNDx;|yc{ zS}T2Al+V;4ycJ*!-Pv^-?9Lka{8NN~mr2wW!ipt4n83=E6@D6gud}B=`(?rZdBLb5JkD6o~ zP4Ir`C~1R*ongmmRAYX>iYTBj)4pRaaTC+aJ2Uyf&@B0WwHNv+@;o-jjahtqvTDfE5ZHj&p`YS&n_6nYd?wo{7kD@T=N=FG4$0chz!^9!ycCDS zMA~;^3jTNuObv}_ffq=9<_qvl<<$UpM>INKUh+)H>atn$BBWvNmfxWVt+x?gp{Qoo zA#%V*5r_W zg}?I*I8EoORyw=Z-oL)!=}L%nm(Sw}#uH#i;@% z)SCMSgFyPvnYmLV%SA|7yO9HQiEJQ*ZkO05K@eS@ub3Q#P%_;D0WSMx-QqX|U6Y`- zD(ugGdCZktsQ`2u;7;FsiS2sK%w?jp@3Bcb6?u2*JlML&ZIJ~zMO8VJp5;~1C?PW1 z9*3m6hgtv*$~S2t1VJB=h;qM;TzMS%Q_sxn!a2z1fSlf(U-|a$laQmhlA>>aLX7zK z)>oHwo}bj4GI@bECs9wnFY}Wl?B+KfN@?J0^BB|9onrt{Z0FpX7Td(CUz8j$WjxCi znKkxY>|u)K7+>M6xF03rriOfGy%yp1pjFXYp?JCA3t=jT z2^$r=7Q@W-?pivc5~!AWH2=+~G?ki9<0EF`>UV#qjLnBHYz&pI28nb#Fs+V`Sq%UH zQ6}r&b{DT|Km?~*Y0xL3;YKSfiHEMkeEQ3f)j3CuTVje!mqROj3RBWgc);=4x8nRU zF_!<)#(HmXB~(Azc=v4=r`VJLu^Zj2C@eY>4Q6d_q@#&|7Q&InH;S5}!KYp)8~M?A{|uZW&@8o-}22( z$Q`{_f{JUI+Q?e614_LFupug%$z*|^H6CTO8!SVVjCAD#@k1367yI@Nn?p+|si4gA z1*#A~tqY~TfCfrggFEJdV0zg+5V_CVz@3?dTGZXF2~2xwf715=)zhn3Tr-QR}o zir;ulUD3>3(n=7Uw^J;~Zml+|9ouCVS`3c~eY9-&Nh3n!(Hw({e{VwW3H(Im|8vfS zAOS841*x|50*f+j1hI~u#vr~FF_7~GF_1}xJfiv%Xl`~N6&V}Z0F|PT3eSvSY14xy zVp{?Ps$}YfjwRRUdh(MC{w=^GvI_O+fbeRQcNUg3Y(!`|{1Z@Chq`vn8n?u`hbkP~ z_usV@m<98KV6B;;Z{!+7118QrZRJLaHEwD(XaQc%NCQb3EsgV8n&2dnO!6 z)FiJK6xiSExBsB^TWoZUDl&0-`!*tN=QCz5b^(vpY3tGg9z|NA743~nn!xyJ!;eip z_ujmi`|GSRt`(B5z;|D5@0jxg6m!P%Bk_<%6h9tW&HBQ_%@SJw@dTCX+Gvn)64?2* zLt8Tzjtl}3GCygk&8gZ^*U-Vib5d99?9gq8vZheb;u0@EKS@MKi^ak%i6z8gMVuLA z=Bp(9@65;a19Xu!FzC&Ul^=TUk!bpW>kzxEdfKpG*0?tH)DLO=1 zI9#1*)yR_vvG>~nV>QatoHD)z574A}?Vr!K@@=U|0iBoAxXY>cSH7Js{_iUz*pUDI z!he2#-Sz*&)C#3z=+FPpH@~}aAO5`+Q@w_of_MNUTYV!qhZjMdCTleg-W_hGg{uVE zDnyGTcECD+`lNaZ6<8Lvf>2~n(PtgKSdiuS{7K!s_6`!5J`+tu0!GdFo1rbJZH`Je zoV}3OCphX*iI;>OL8E$yhJN8%DLJ>dP`NI8{i0p_#F|i`rekXOQLfZ^uq}9%y9Yrm z9Vq=;VJD8j@Y>Gu?|eKD>tMp3Z`rxG1p3Qz|Bi2kc906&`u}cNml`;gTU&b>=R}xr zxvLR!_tZ^oj0Co!jZpk-cnqeM$6fnMl27}9mCf@^aa}OOV zc>Vy-D6gb-4h+Z1X*k`sZW4bPQj*M}%3={@g6Tx~1_!e7H$ODJ6*0m$P%DHQ`45L6 zMlMWVGeRI-A|lHp{vqk;IlfAip(9b%Ea`dI{oMnKQZEn+Hah@B!O{!&pjoxJVIZ-= z++r?4plXMRm|8tR4_T^_1uo?b{S+B4RcTQUb?EycTb{h;r z1x%o*CKoh|3=`U63w+tw3($x;8`RQ^b+fvO>g_W6 zEF4~@^`0|4sKk6i8HdsZJ`9&jOL10T}eMh$EPK*BV;iS4A ztOm3veRq)#dI$ati&-tz?b;YW7on%j+_X+M(@(8j2TwTBA6B#ii&O`sn8r`~3*nbl z4pIq>SxBjGR;Cs(t-4-}JZr&yzePk!!!>Jg?7q|C17(CbqFNHaGZ1QsOiiBy*_k-xTcTs1DddGqgN7B@;CzZT}3ChVXZ8=gIXnxEqGQS?vFc);=;>3GXQfyUWh4;tT zw4S5pj${z}eL5DiBm{)vh}j%o^AdBb&>M9gUe&+-v_OuMkJEC2Ja>LEJA#PW3-HIDCAag-leB~l! zxVB|Y!(03Vwz?hW#(jVk?gmwJ%M$^h=1d}2*+4kK%IMR85q#PC+rFrno`=km=sYt56h`oe!e~3bFNw6E#hVV_*aP2hPjzB!UPw z03C?4)G^uZ$Xtzi=Tb#Pb@ip0Z2ScYsb2RYpWVMrxkPebd^bJIySuf=Pi`<+v;8mN z9-h&$DF^=_N7oX>df*3*0wTIe7sAf4SXlNlP2t|613fLo)t!K-UO2MaQNBN2w^ z(|I!qspJQU2EoHTMEFmbAbN>IQ#=|HgGZWT6I9n>jxc-Hsb0`LW0s9KRpp*u5Z!XR{jF9I9;Lm zcVn){VkPUAv@Y~nRB{Z>OR66 zy@I%4Ng>VyQ_ZVzzJ7|9Ln&xH%HU>}&P8K}{n`#cb?CTV*YED`w<_4gY-s`CRn=V7VK`ubxkY@K-=8Hj#RkhGHX_~ucDHJkC}8RkZR;l-&^nh5xOLOyg{)H z4(LxXeovw!UlahfZB}2&;s*cSiAvKtCg4<_w^-dP=@tCuo;sP8F^lSh(PC6ZaXT;Z zY;!(PzL*I$qt0ty^CFXXH{STj3>2+;Bfk}f%b)3=@!|ZI^<$<071feh4%l3^kGV4( z$~`|U>1BAje*)!qf4Oy}VVB!cCB?K>%h1#H^z$LqNU;-)4ygi|+}bx%$by?b=oY$= zt-9vg5om9%N{;dC;oaSqAWhcP_2Tvnl$On|@eNlstVZs)x@I9M=iO7j0E7UOEc!ui9C> zsYgJHhu5r1f3=@1*NLrssJZChbNB);iuk!@!@uaJ2;B5q0+e7mBH`=Ix;*OsEfTMsd)Iu%xTLT95t{{^|`pzyh0LnHP! z1Bag zvy&A6IK4FGDvK+c6;@ktXpc>hxE{JVh}#|B{0hHWK+teDAV>KWcO~V*7fUb(RF1{B zG;xKx+X6n})J!@ga78WT_$2g%a;vRFY6ez33zenvn&3AOFrgUX-?+Ib46>)n!Mpp{ zMt%MW)m%C4tveV?9YZu0H*)2~T)^s3F?54X6JlDp3E7yY07uqrIM!^-F_R$jxis;m zTjG8doI`6Jln}iX-(udiEqTT}jKI z!W@U~6DcKsrw?3(Rn_Q4X=z%vs<<1=n1z^dD;I-i;Ynzzc5`oXDhXwpa9yN*Sj@Rp z_#w0#s2_O^4m7TZ2wS>DOI6j+sg!9drTC{89^d1_n|1B(Ry0`D>DCwXr*T(f<=r9q z7PK|^*z6CUiE_1AI_RFgWGXuWtn9Q;%hBpFVXY)$X5hTN89OW~ZKSRO-4VU{*A;R? z)v4;6^wCRgMZU_(8Q}Jr5sH~PNKn0;HQ1E6)JXhAF3g( zBFYJ3a6~N9#wBZDh(g(&ZgJz%O40bJ9@I{SOxVv{UvIy#oVBh+YdlmUQaU>3g&}Hg z#orU>^9~^asuL%McO37^)r{t1oFxkEiVcx!XL~|_{u9>upT>xhq;l&XO1fT@e_6$8`V17B z<|L7NdN-O^YafmH2{jf^>!C3E6`jj2+JgL4XAg(ENXC3xBRilT$@(Q0uV-pRPHx7s zJ{V*nSfa0P87A12Ct8)NAP2|f^=R41*kfg8jLDNCpB&wVC2!DDqQDd&Ag=-yU!T_P zJgM&^=;!LD&z+?7R4#iW1*5S_ghL$Q;I$SrcA|?-~*UbRHqQ{Xor~>Ab^bOaQW~iNt zP4)?^gl2xFB5o`?ptG8QUuTyM)-uA=mm2E0XMM_5WHd;KHt!j#+j4kq9VtR=U^57Y zw7A>?SKRu#-nO}vH!e*u6(!b#6DfZS7$$Drq=q^U_-2<6y6&~Fe#EG=i13t%5gqk1 zbh^{kebgc3M5BoKz!(}N(&wWiSz)rld2&`Cs05JX?AoCQFXuK=Rfc_aBm>*i7J}6&n&`$>YdRj_C>!87?!^$JrD+MB`}(sOBNcTln?8G|!*6>uJMW#AGZ{`kxl% z>n8A4qPj=VFqu2`NE-nGP)MTa8Q=bA1xAbx^?8;{vyWnin;2dssfO`%PU{3Rsdl#D z9$p)vQ}UZc77b}^^N6ic`CiR!^Cf9;uvA`hw3;oe$L}twrETvz^@Pzi9qS|3ei#w= zT}f$S6Q8of5%4h(T!bk!+!Is#(-O(k}tnqSJsxO61(XHfvJ46$2Q0_g2pg6 zGXU;YkaGL4X4qrqL|^swoqzP69iG<+Brks!!QG(Ea}TZnS=!$kx6!rA_A(!=`6UyAf^#JiG@{l=WpX@m7c9hcQiLMt%y`D@+kM-Lbu!*hgaCbF9^-bfDXX(E-Aq|J@* zblF;U$oZOL2aMf~PpMh9o;xJYvBft~y*+qb_cc$4@xD&2?avZDbNr#!L1=(ba^=DM zArQ0qqBHxn_iohxbR<7vQ3ofUs41>cdd5Php9+LF&7EiMq%tIps7)ni0y_1+&+#LN zx>i(YbNv^Ct*`fW2dM?pOVigX6a8N?Scz%EYN6s}8*gHOg>JYZ%UZY4BHv*mI8{vA zxb7!x`lFkjruH;m_sjeuLd9KxzMo1Dlt!|e5)32&oUEPv|HsPXYUS0yS z%q2d%oR7S%9Y^+49PYL?d3b8ac8^Z$#F=;2`e?j+9V7D$Df;!A>pSngsyuUCZNS1d zfL6z6>}bL+qTt?9LL7Cy`D4_x@X>kQQWf%1_L?U8ul^vb$H$QRUr;8$3rE-ncsdXh z$6or>&aurUJKPj5oezGj&H7m0)p%Vo-KU_;r@Alg{oVcJf{Kc!H`jy0sO`N>pYEs$ zwx&}w^yr)Dc6G`bl256fl*Rh;i?g-nUQr4pv&xLY#~L7auh(~zawW$0xl7)C)xV?5EqA+8dcU))S4h=_wWg+uVo|I%rd_Y$ za`@`K^O=KF(OeJF^z%4H@*-MV=`wg*5y<%*J7Du6>FS2MI4;M_WjC_T%Nx%fa|tx{XwsE7oE^ofq#hRv=r`I+aVj z;vRG=rpJq3uc;PftxX{|R@u12%R(Qan7?4UMXTl34b1LdOlhH^psY9dBIy@HKtY_O{UXF&{>$B3YgJrW{HAAv5gZw*@SdLE1>p zxf7Oqf6CeYCG2H1CB&i)ZI$rji$# z*9ty%MfF(3T7Jf`{hzDOF+7EX+;{gM{<}eaXIIwsJu+*T6;9RqSm$&P^jcmsS}=5& z>Urbh)!e)a?G`Vlb)=nnk;wfnB}{({YUl>xzL-ZZGS#^L1~x*^w+Md*_0kq)(yuE_ z?~9>;HGIhOdzvdp8R5cDhjS{IY-{Dlu1cOic@xcCP9_LWrHb(ZPRvhqn@ps*W+;lc z51MA#aoQ8=;)rXOP$zdlft-Na$BwSc{XDrpfPsj0^d)K?v0(yyPttn8C-z9(EB0Bw zk;0=;xmf$#VC1G#!9Zh(y2ke^|M+WzgJi6)@T(3F2Xa&*95#}*Kn9gG`pY!yMKLj0 z{GHaNgoIEDPSWQB&MgAl`qiRl-Va0-eYcolJDR;`2dg|B*m~Y&oTi0cu})HIl&ZOr zrn5oo$kO@SEF}Rq6Uti3l{Zz>WF}aKF5ww$T;_pD&*Cq1k**u=us0PeN_?~*Eh|k0&;sHOVxZZ*enuxY zi4z=~CT%3uD35Ts$)nU|jqYfF|D^CYS}%J03kxs<+>SzGa+oMVB~qVr47FKH$>Pu? zol%^N&vBO-Y(~2^x~(*nLUUR?d25b{y$v!!G~P+|vHaUIZ0(HE6OE)!=4f{Q z`yN`lcu!Av2zTy|1gLpEk}}+jYvq&sg|o84sLQWu*=MGTs4UCL?>;}jvABG%mvC7(Ew{RLN^# zFX}2!Gq+-Nw3!YunhFp{=>zjEqQbaQYmDv$7l}43*`=*yPAu%gGhwY{kw?lBrY*`% z?N}6ZBb8GzpX!&4{DDm`8zorpTO(t0P4~JFlr)YV(xdpM?Mh`rraJRN#>ae3%cI(g z)P4fQry}3-N&EX|@Zy29h9EW(;;_gXuqyRpg?7rLcpoXVhZCw1+N>$Jn&KTpxiH9p}z_MJ^sba!Ypa zc{>rVO@UVh{!$ms>6cVA5j-gP7HKg1zBISpixH|#EXIy4SUN<>m9p6Viob>Ly;LWX z#)&OR33!d!{MGwMk6BZ;+3@)y%W+X;2HLmDOp|6{(y3jynwJ_z*_Uae^kT?(I)+7M z^ydjJ3Wxr!6sII|Vr;Y;#FS?72PpN?S$c5V%8hY~66Z)x&a;SvqtK+%V+IZJzH^Z-@ zRw7_~{vf5gRM1AnaG=}ERI*+msx5jIdJ>-%8xC9lexdvG=mT%c=6$o_Jq=$<91V}L zSWZfoOZJ2ufxpt^+|A_2$B}2p_vv}|WzF&Tvmcoim3H+3Waw{|E5_Kn7mKC$V{Mxq zo_v=w2LiRevkT?yd|Z38=9CT8d^&e7!grrqABC5sDRwiZozuy|+54J8+7 zJ4T_QuF77gY})QEbHVYh*2frI1`IH$+E8T2EjdQhvnnJVb!BrNltnxY1I6d2MSLPOuTIodV-*)6 z`1zO3D0#QDf!=y~Ft=S>uR}mtN==X0UIsD?NQ1$@j1jAAI!6^z&c176e(F7QgdfqwCt8Y!pKtsZLGl zP{I2959h58ya9!5z|@-3t<_ZeS=yOnW&_N0#etrDbxz^wzmDJc71?DHhYKrtb?%iJ zwvF%J4%*j;Zkx6bdhZ_O8By`pjaR)V=y0tqG;E|X#~u1fzfaxlDoQI_ylr4!Kj$jI z(-dCq!z^c%I4%52Ir5|0_{Np1-~d=kKT&EtdM3L*pzAqh@mKvKG-O`R%4uW<4e=hIJ2Y!mrLUa@o=Y1AkR_3`as zV4&z!7~S}oU%^zpFHUi^E_#kA7V&K&{p-P5L=C?G#7TZ@-_eo3j-Nh;%%&~Wf&|XR z8Gm@f)Ia8{p*wd)tO)BVd7wI237Y@LUd;rLXcOx>i(xgl_W|_-N?P=(3qIKXn*M<2 zp#_!?Z)^4lZ8}w99V)U6Fl(={)m!M-4;2{W2_dgCs#mJJDcHSnB9cMG&%VQfQ#CF0 zC7C}CKG@QjV?BSuDh-!7Q-O``k6-oOj?Xo$ zX+I_jCm)jJx%k_kEAnumD>d7da6eFwP5J@uyC0`Gs5NpZbvd}tue?@bAJ)8v=I5j| z9ApI!X_mX6l`r)t*4++ST=gWF5iUizk^e6p5c%7-dBf#l=`*#u)-j zx2$O-FN&g%vvsuj)H7n4W9{4-<;K=nKZ|W2)bJ1Yc~Yl5VW~!2H}QNayLELyJo|Ir zY6>`FlEHGv5^umB8Y(xENwtKm0O+*2m+ek+1_Z?VMt-r@^)s*gNhNx`TF3FnoiOib ztKsEZUDi6@e~X1m{1F;Msk4<_@xpJ~a-!%r=?JceSM*sNXe8A3tqiN#&{o`Fl^zv- zoyoYW6rGGPb&u-D3>ln3F1zxQCBdsAcZ`RvmQs+vdpO$lvb&1yVROr- z9e6iL0-xf4c5$jwsUi@h;tPvJPK(5aX5=~2!X$oS%|=CR>!-Xt;OVeB)D!V~dxlSNaiL6c zG)2h0-dn@^_LaK*rL`pTu_l3eTDzcwMC)_Z?SMv2aw%r36cBeM7$w1fpZq>@Et~PO zAbyfo2ZKoEbPfxeTQ%M@Q5#4AWI%2h(VWb{?)gw`TB_OK>_0RWP=DaaIRSRZ+&+B%c7YWhn_QCMlz=Dyo8NFZVH zr?RgOed3taU;t+-lY>Iymoh&RKP4_G@i6 zOrxa$d^?T#>ALu~?IV9x7V2O2!Y#$N7x@%XCLT7JPI%iLT0F}P2daQHdpG`pU5N+r z_0);}XSZ>znm}mEm(is|pZ!LrtM6?3{PaDO^0MHZH=kfLqpMBkYGMm-$BVV1Lkv+I zNN3)fCCqBQsJ}b|d>m3Aexz+jv}>SvsC4=z{>9T%Eij?9t9%vBgqD!B^KHc#ls7I} z-;uL=Pv@yv{`~Z26BJ{;3jx8Op}D2Vw#gIVjsEOb{&UIt?YhF2{cL?2-P$=A=ASh8 zzuMj#abbmWXWgC?0}9cuc5BkF%*u50C3DgR(NtffvL^fW?rR=g0n`E z<{I*Sd=H}U#(#G5539SvT5CoPb%`_AI-i#=huHHE@{z+_A2r)k!;e?-U5YB{Wb9z) zn0xJk1B+hw!>7DqdK{v?!y|c0>{h`eguw1dh2GE}cp1pLb>_5(af>9W9IHgU3BBSV_}OHY!vj4pmiC|$Ibtbn0H7Ch#LTl&K1R1V zL?AP&khWzPv45_`hzSG&QiDG-8t;z>?~{3U$Q@27 zFmRGD5SUy<;=%l8+CbuKBn7s3fyR&NH6z7zAN^uTU$5P;QZxN5eju14 zmR-J_=3rwOFh8vXoV)6BoM2nm>}_DhY9mXE2*>oaM&}kX){Z()mZtS+1o03?p!+cM z!#RhgG7lmT8fNEJ9PT=n@4wm+yL1Y*<&q==pxM`z zDY0qdXx`dbz4t7dXfWkvBoHtfQ#N2cd+tpJ?gcP~kspZhVxg;qt{-orjAZqhS+p9@(-8AH~oSHGJCt4Q6lYD8{=K=Q(OEd6-Q5`_KmGj&)st>gZ^@?kOHfQB=sdF53&o3JiFMK%!lmBL}*3~qc&f5pec9(!~ ztFz#ye-@qEw|+5Jro#<6YG(PVf{B@4jGfPiUrnc7%B@&UXtFi(itZ#X#jKcn3W?FP zWx9>41ZARIEy?Gmj63t)W*xuO0gX{Uh)${Q>t-JAYea4P26xK=FCeDc-6#&HK4SEq z53&0Q+4*4JP4hcK5#HY^O(S0}XpSzG2zv%t)xnrbxmwM*Z$Qkq@~dL@mz26B=i}8` zw{tA*REljI1)A+Y7QC@`ZfbdX3_KTcYHCUvfy7|NJgrv=F{PL(XH~Yvp*{kcUs{;W zi0w$d{Oe%q@XndA&QErdN6inZS<<3EUf`(!oTFB!kfiUwP8>HFLMP!xRa&xB< zlEsA^MHJthR<{kZ@4Kys-D6*%M9>f~x_T;Ge_D_Gh=3!2L6UR9YB$Vl6i=l8G4eDv zIFP(5yE9hi6(cWJ8y2;>AMcCDCxi(ipYB-W;y74giel0JiM;RY-$f268AWQUg@&w^ z2#p#ijg7mokti7vw<@lB%{;)HKdh{zJ_>V*relXHGth8T3HvvvOO=@4ZiD$$S=e%M ziqfCi^#b?s7Q&Xz$9T*;$EQ844ULC{D8qSdE$J5qKl8J7;%q|5uI|y@%W3nIdd=qf zYJL8W?CSK40dB*YxxRUGX*HFomb6gZdRY_xAWPxINJYuooC0GpOR_6ubH-qE4|`cJ zD&Nt+_xh7g3vWNY5UDQV;n%MiXR)Qp^{WYYX!*?-XU?!r=bI+A!YGCENe)XP$^uuCC%cnU;NhJKkKkQQmZV0AN7Cg@+C}J~wa_WM2wCj4I47tRs;RL&N_Q*b-TS{7=zDzfzV97d_y%HGwBc-?k~P_ z&HEtkMsB3{V9wdt>&HvY)#Q^`JEH^-PKVF@Jm68L*A-$KxoGkogZFf@^$3EUBsM>C zrjgHt=%aeNzmh~Ezn3=~i0@`5GratDyE@tm1Y+-<3vr)k>)sJ+cFy+5Uk$uOOEizW z-dQC)93Vk8k1mC@awH}(uUchMc8t&14LK$iSlYJcpiCDT4VU@;h&`>ewQJ<7*x0$J z`W`9ABYgv9_=H4Dzzd`#sV-nOvGMYP7LAuKBv>(#(|G)jz!r7!B6LbvxP42^d)ZB= z9yFAi+bp!L)%$djwSMeYZ2M8aUxaa%sC>ZOv%-uuE|zX2QeLwgW@+$|>B zGS2iP_u*WA5xHJST>B>%H8oGP$22Smc>mzv)>864M~M561EQDh2V=!mRgZVNq>mgU zTnAb}GuA5QVFYhxtdx}EI;;BdqKqot46A2vikxi0+wKlp_(L_?KW9A^2@c%*~m53{+GQ^?CqZF>-pXQJMwu66&r!y#5VE-zpIG#KcLWm-7034uW3jgVTUPpn7J{5BA}AoEv%RqyYn|nwE*8Cwx(~d zaIJf=H2y(j+haShj8c^)KtKT~9WSeA^Ue%$`-DNeZV z0Yap0LI`f6O*P^aMWNt>Y-ieC?cMced->`E4pQ|3a&!+KO=YYqC!a97+sLe6;wR^p zgf?+m3PhxU)>f`BI??IG)+V(MyVNB8|cMa-0rMJ8>QQUV^Znkm7O zLL%zbljmL?ChKwEJuIp=!YB6A!TEdjsRx^yxxWgoWn486!o67D6ET@Rd|NW)%*c{L zCu*AJqcCInT z`vt}1YsCz?;_%)5O~Wj)Li?S6^Ht_%P009qg~=rKj`a@Z%o{T2QiZ(hxh)iD8Npu* z!>jpnStE(cSTAR(pFTt^MXelME1nS2uJ4p!RrjT)lTG)A(Tg{2KS9AVV<#>( z^=jRD8ku-el$o(TF`SnnL*j9$KqgU+@-{5TZChn2?Y2*m5cX0ovW$!stTCb7y z?)@X_-1SUItK@5?LdNa+!k2!kbM4M9sJvdleCdy+=MFagx`5E-!ja9;5{zajt@l9jI zr4B^gedl5~vUH}d=G=N1Nwq(N+1ZikK;ygiMk;#K%eFmXvfFEGxw%>oH=MVltzMU* zn@biO6%mmsj_c>{{emw7k6f8D7^Xbno7sihqRHy2msG-^kJ9$yQf|kbPx!ubC>*1J zoawU)j?3(40tNW=qB^%V_hvUo89v(=n||VAyiI+)7^rDIc^hng&MM9QLC83oBjjB| z*&&+pM`~u&@j1(%_nl4Oo+o8zBPi-VQt#q!v1$117%Fk&!{-VE-}?+$ASEMH;Zn-+ z&(6w|l7=MitK5q+MK5ExYU`x#mkkf!+rLS$t?BUZ9CG#kO{YLePNAHYY<3(wqHMpj?)~QjeFui0F1{aq z){@j4M#bHb%7MYN`;UkUFTYfEr1e4-SvGT-wrh_*$X$kpGOPEquPZDcXEsx~G+l1M zK$G*TpYQG$-7B(q9ZO^(ftUSflR%A3TI5^Mr%$R)S>}kg#W%=GoM;bdrnp{l2Kyk_d}66ce1xlB zwR^wHN=%}^3ph}{UypVbbI=Y??5|RdC?RiO5sTT81{`rvrCs5PQemCtx}x>*#X6+U zm0?$irvI3h-`nmVef%LZ0|0*u)4m<8 zATE;AgRVnzo^aM9)Zs3h*$z&5;Biij>4ou7Wk)&LjA6M6oh`??xRBS>BoAR(?NIQa zP#IykLF#uGE0u*ivv`!N;$N?8_}a@q?=_hJXBNRi!2g}i^a&y|x^+Z0)pwOgkd<|- z%mby@)&zMl1t0of?R|M%j``bm#tdexV^_+W2pO~~-No1{D%unkt=dH;t+!l(aLC1BwAG}T4+yc(Wdt}@4J|JpJ$%={hsG}f1l@lKkxMib$4CYeJ$Vb`8}88 zJdSE2$PAEM!1}Y>9~rwj#?&7Enpz5n()Je$KR>G{HgIq#9g*I)Md=@*rlc#O?Vl16 z`Inqn_`zqWpfs9tEtKTlGZ=bpAnxa1CkCcWSBnGJI_AugJWZ~^LKj1a`wJ&d;kxRz z`BQs!^%M@K<`Rfr228*3_Ke}iL2G)TFGaR}+@eL?_KgMKv@rjVb-H%PaGa&8gK2!e zup!dm)Wsl6ax<(xAV;+LgrEc9L6Qh@)YCQ)b#9W>g}0}P2!bVO18lks_)X-%&um1j zU`0gKhve1+L1+b3SMO#Y#?hEGA!NeGv<`=LAT`X8C31T)pgKulrn>tLpv2eB&^5AV z+1QwRDc;QBcn6cRo7!JEfgmR;<u|RjvJC*IWjrW|g%2U)3$ff4|t5*#CynbMa*E zW75bd&Y0@v?;h-+B;!zW;r95#s`G0gk3+NMWlOUd$6@fcHNi&beyO%B+EYXw<1c`8 zZ)F4@ybv}&eYnj$t_#O^Ojt~}^O9rSBx-q~&iGzxboV12LfG*| zLK05kp$?iQC%S~l1PozP8nf1pvavD0L`9FEfy7{9a7G_sg9+K3#(@x5TSkN$VCL17 zAr8D`v{4n3DOK5j__sC7wjN*+^k0_0wRsZ}%M%%$(8v@Hjw(Z-WQXIJ+(}z>8ZVnF zElZRi?i{4MOD=n)lmkZUitavQFf;?om4!#3W>KJrg^6s88YR@c&Z3VqS~Y2uW}Rao zKKTWcv}S@cP5{V79AP4Mj%e~TB!=4!iy?5c*08s=yj&;h2AkXe;P5z(m-81Ujq8ya zq}kbRVC6UN_J+5IvgW8pChzX=q;}aRv~sk^ni3Cjg(|;iA&j{XtG$$n=B_T=84OvK zKw=;=g$y_Wz;nHtA|EIm26c{UHJS!iXp!0L4#36T10Y9mn7c?I!JBspTlK03_t3tJ zgb<5Ha@@FmsAaMn<@*ry-U+2-&AtTuoF0+NhLo{5eM!5r`FQ_sXPi??a+(x%H5Gw3 zwg|0!*Gc|HSwo+=9#2iOm_sj4L2_xzmhTs~qBn%qDLi>?fmJ0?bmmE{Y84z(FWvU|<*0sve{Z>Z4^vZy)E2^e1Hun_6d31HR2P=mJ3W zV6mtEZdr$N5Oo*28&p@(K&{e7=P^r{OSo-oH5wSNk!AtW*jS=DH3;0M4A8Wc#c!uc zV;VZBIZT|o?~$lmBUFbG=@$%XMav(u&@gn1SXxaqbFRzI^{S95`$?q?`K+td!DtCp^FX9M1lOXiunD+(IrIgo&$XYi zU?yAZ=_g!uKiW3to=LED#KN= zm+Hp#SFgUs*tEAri+B92!7+g{qX8b$SyFuY2sCyFimYgMMxoo19^Zw(R4YqqNF&*u zs+`%h9!M3;U>#tY0@X4D#U*br`2VC?mXxacJ@;l*G|O3pGD)dqmS4Jauw04*)cR)% zqYqs=;?|&yUIKs})|G>PSVx-Z_Gw`u06_5v0|O7954;fOmU>Rkvu^NI}*@(t*RpQwrT=692bTZ^rN=KA&& zA={fqkOk4Umb7Xv)_+E{#Z6~t$vrg#D)4BL;AE1{D~h{n@eVpVT~#=d)byE5oDQPk zU^NyT9wxAOQfX$wkKF4)-(iVY5dw(zx@V_962ni?<~3-}BO+v3!WyyIKRw#$S&7MU zum->B()o+cH1_g)hBMNMn4E%+A6Qa*p^2x2fWl#KFFPhljsEx#aee>Kb*TQ|mh1Re zYhO+kNGID2NBowEUd+^ehS>>>1KodAKI-=4I7=+B+z#EZOa+dEA~cBRh{XLptmC9Q zF1?Xh+PPsZz_Fg9i?qp^U3#%X$6Ju z5t!+viIsf-?uEY`@M?lbUIu7ZG1z;;b%yhJnA}+q%*hv0Z*4YQ13gJn$|#IM556Tx z5kja>hp4#yz_#5M9g%4A;~zyPMeM)h2v`lCp^|lzqvLay<^33HFdXY@6zHhuG~|eH zVmk6L?_nAz*_aUV7>h9oJsm~F+a$NC;TrLE>u(vGV^ReXgB)ks?M#G~wS~k&{Hg`L za36)e{lB?W-NN)$M@%X#@D%})T-P~Y6RRd=^jbTJG9gKXECX%u#ivP4BAJGE>N=~g zW+~g_4~219Oz5SlOwhh$ zgxy6TZu2G3pdjdxN%fQ^^GKSD8Yl{tZ_uzJIaU@$Au6fzSiB6>5uOx+R_VI_3tzRO z0-7EP=0_)b(GQL8e<$y{=E@-yEB(~_$e*JI>DCTCFSQkurEE|qDKa_1~j-?Oy! z!x^Q@*qU3GK2ObNjGM?BUgU@nUk`<2LQ*WTniO>=GcJ^&MY*I2 zFHn|zFlgF!oB+9Z5NNy-DjD-|_OS)KG7?|f1ZPqXZ_FGP;J2F+NkwwvLO<~Mq7Fxq z0k>ucVL_@ES-#w22wHd}TYFZ+{hSw@KRxfpJS=VWz!^E(*m9?qK15zab>xx{e7mn- zsmg#)!aZ#+36jT~OgxO(%Di(3RII*4^(6>T%@W0O%afIOjLaA8b9CQCEm3G#0uJZ2 zwD-u&6tq(qFjvdIGyEB0ar3>%jZdz5%VR@M1T*}Pj-(q~I|olUxI{0nAgg;icOojK zst)#u0SupCU*80LM)SvHjw7saD|-KswdJCoA32&ools%Be5(IOul9QMk~Pqih!RkA zY{%?go634cIZv7Rc8=}`NZKuIOjvuh-s|z$7)= zxN)mfYT-<#_K>xLZ1XG*S1I=Q?o2}~q#@Z_iX2HSiIAxfZAARmN~l01s~d1Wbo)TY zz4AdKzFKN0TM5MW`JY5yMyBnwu>10-1(QWg(_aDzV3NFR)Nwi_+L<#F_FeQa-%FtDOUU>_AA@}iNZ9xaUZSiYZ?!M8$zB~-qkVpQc}~O8r{p|kI)^Jnz`Jw)A}p| zUHvV8a!`HL;`K@2V?8TXnSEx`wE18|J+CPa8`NrzU^T&}ovIn_=-%@WL2c}QQzsZ% z#E5Jj`2m!Vi?E{Yk1rr^EWz}scmes#mI#vJzDu#>SrL%jPi|dc;Cq#N{)0!TN56a+ zPx`58g-R$a|OzyR?7tS$|u{SMwM^I@v;o+zzH`TL~sR-KL4b8<3E>i zq+6uzze6UDJ<8~8e~}~`6Me)2r)he0=$c^L-F?jwJEm}7X=mu>QX202#dJ94rYT!l za;g+ZfaCSk|I(}cgGl#LU^kh7ij&cr!xXRQB$#w2Zj zk&hjjEcJkhR7obL61;HVR(|HS!nZs4eLL5nA03W?t>%V-QL=R97z?-6`PJ zcQa^O6Bz};hysbxG%an@=%1yQ$vr-b@> z0V|g#DsH#=jxW=;bWvsKj%L-~oDTA|8gmxRfSHQ4gniV&5_vr{p4rcXxn{AuMx$Y4si9MvqxS00}7=wXC154^d@-Q!uAEiIi_VU8G zNkBkK#tp(5-k73%6WC8{Nxi&l2~U?^(sddk*<|9mTxYV1eE^3-(zr=_=Bb@KA_|B< zx2YcsdFaF>w#yF%Q^8+K!bmw9vfSZG*S(gw@JJ*##iE_4uXjw$Rw_doCmB7TRNXfh z{ST9>(SO_|ick4HWtw1^8r$}KeHTJ3t3`*0uKOQh3RnsGfQPH>Os~jn4DKn{Uhs>_ zHubLODbS5%-(|Bi$M+mY0%Llj^x@hY|D`!!)r@4IJS#H@$F~S6DxV!L^RJRR4CTif zta!lHUoKXW?B~#1E;LN@K&o;=(x=Vz!xC>zTf+*httmmX=lwal^6H})B7Af?jUbna zD0WE$JkJcNnxkSsjTyzY!)*=(TX?{V7Fwm8M_sH40FQ)HJk#LS$k0~~1e}5d1Ad@Q zs?LKY!Fpsr`F<7XoG3z(^A-uXvE&v^fo?a%;BIf*L#vbHPWEzqj}mmPD%Nnu0uj0i zIDl0_o=E;k4eNYaiTcam$@PSdDTITg>|r{gF@^|R2YjN3tXU#OJwuKY69c)Sd2rj6 zf8XUjkLhXzeMujDxSmf^8o0z7N=Dv53iB4xk#!SK9R@HhqQQ_R4oni6g+m7Bu(M_7 z;{PrXE1xX(ElIXv93{!XUEl0+?6hr=!#)+%2k8<9t`V24+PSl+dWibC({pNEz;=Nc zdM^XEGyzd)+1p1+rAk_`Ifl<+7-4BCSRiJ3#Cnk$k;gM{QCSB^9_Miy>TGpn87`VE zOvh1wCgdPieK0~wm)C$WR*gORySdn3l+03KA$f2FsEOruKOejYEM*{A=@QE8NUQ{0 z#k&zg==6?&J%0m+!H98(+@mP|XIZB*CQf^@S7FOh{TZ_-?%P(Ju!<*&#w-X*{JP+HlHe~VkBBc$hjxIlc*YKxFSu2m0j;KA8{9yb2 z?1O{8X{FT}HJ?oS7;uU9f2iu{Yftm)=r3*OPALtw@SqpaZw#`wyq~Xy-zH!j?;Tq3s_=-S(;s+8`Si+>FDTC zny?eqApI7Xg_}0OM}IvogB$0*=g#(bHKO*%E`?Bdd|p?>Gw&p|^dqnCBvxpOt%eIc zs}>4um+*iDjW_S|;VjfAHj|Y; zCGKh^o*2);{H}<}+CyQS;it#7dWn_vt9cIZm^csfjo@O|4*2Jxq14!q$3_ps@Abi7 zC6S-*`KsX;@b$w`#>T~Chy62WxZ=aQbvksh$keZf-i&ih?BMS&t=MrqwcE}kvbh}WXQ3$r>zl}a2&&%?A;X`XNv=x4r^4%7gNK)$4!1|w~u2VD1VSi5#@Cm^6% z$nNtX_Il<;RJUrg$nespz#U{LMY3hJ5P>p|H$iRT0_AKwPffQ!6m@?+G)GGW{Lv{m zWufRVkOtDY>hMFTDhj3-ZR_Ii4j1b%(mZ@;@&!C?j@{wel(I!4T@q)N8syLCoqr#B zHyd;Ya8ZIz2MqI<&z(E>87cmS#L=NsoqDpQT7q>IxK`t!8{^(xSmyTBZ1odsjHyyt<9OGj> zFz4iZYC~gnY{&(02jx$^@mCk&LaFb%;$gK)cnRVD8%P{~Z@d1vd;Pl;e>37G2BRwqI;CXS zThwNXLbFvHWl`tg;NT-ij$DBC_)y&o0h`(@zfQZD?l7odSp{>a10j&uqwjuqZWYH9 zxYx^Bc31;HFs;a?$^@0YO6OC`En2|a+2OuC7Wka)8IHr+SpU`|zfM!B7Czd=>NGpM z92^*M<~rMtQzdb>g-0KaL#@jo6L9Y9`3hIcKuxL*{pj*K^b@SXaSuPkjhRh87P4kP zcY@O(8yN_#Q)x5+OTE}Gm9-TD8T}+rQuKRMxfvuocY}g>89k5)KsEbivOSpdE`ZTO z&s%$!4>$ZY9`rdJZ+D`^i;bPW6#nCo(R+OQ2Ma_i`j=~7+utMZU@o*uX!U-Ecii%E z7|SfvHi&iUD?I@M5%m(#;H*lvxOA>85YZI&6L1SEfO#iIyknB;TOAF`n_3OTw<2kTgt}FM! zYW^N+-}>U@jjR=2fxjx{L_s?#8RHwUNVTSig@uiM2YWy%+4eM-yx%t^0$1S4^5@&+ zM-K*>XKp(QEAPK=Qf^ds1FMLS73LJPH)Qld!Z7YEi`IyLwgyxb<0CW-nv28Ahp8j& zG0VjC$c~;$!miha45OVr7UY<&A;i-Q2sp>H2vX$S=}z>lW7wnpw*(}@a~_=&>fEmG3`j=2em(Sticsp24uSp(Ij9F#A|0cU&k`f|IB-xR<(Zro$Z%O4O5^<=t^)U z0TfxOUv~bwjG<$t7p`bplj!gT9tm3|-4S|#iFZe@vq^8ZissV88dyFyny0)#QrRCC zjf2^I{Kv6s)PL5C`ddpBaGz_2`|^tj4a}dISk0s#J7*8foPuC&=Vp|nEU2-`kg z;&0={uCysMPB=SN`1NA=X>r*frlVTl>e&9~VJCL9e9LmhX)icZHsY7&jnpWe-m_80keSqV)Xl6V;X9h#AFHzkh;iNxgdp`?dV=ve#G+B!EQGweMq3xMz*!i= zI;d34soKf31qZEvs0c&6LSEv1k$CPZi|?Exd5o2Aq;nP54U(lvh}rjo`H`3i7;qu8 z5qZ=tThzbH9=N!eUV%|>QA%TV)s#t}J``N0sDsSw{Po(~4x*}JJY0bkd}_n>m~`^kaTjK*fxj#M-GK>*QQ;6_J)Q_LroeBw(nD7o?-x|e#*xHI^{=wJUp{S^6f(#aU_WK_keJ5sajEdf?moGnhB@r{f zh9mhZhk7{6?onneKwIEpy}Ky#5X+?9Uqkijj#h@_dce@GLqn68`YezE-qul_R(3L_ z$$Fr#BctL2mTBcvw8+728g&Kt_z15hw1GrAiY&FTng#kRKZ84lhZ5$!_Q`8Zx9wL& zLdOKnrJLIBmEqV&$;Vg=OMr$StjDXu!kNg2@Ad^OLG9BPqftL=dx)H0EvCE+3Wauj zbiJAErMXT2tCLmq{)`Ao9O&S#pYdpcz@_>}?74D1+ug3n2c_mh%tcqTs^lz6t5sM* zLT~|MSA#dmJ+`C{uTl)o#B|g~ARh~OVip>OYe`;V3gm&mv!mw~IhmC|kV-j;cqeY~ z%kbb%ZvhRJlowDfi62C^-rg_C36 z3R!l`#An23J*Z(c%yI7G{m`` zp2{PxHEMCoQ#vXVTR7|7g{KG3U8k8^8cS*wwGb-3jFK~NO7~U_qEwhsH>wIIHZ9gL zz|*d#2hq5g?c`SM>1(fwA0$Fa*OoOJ$$}~JK9l(0`P2;Q9|T_vc{JB)b+&E1ZQPSQ zx*+s?p7%oUUE0t8)=l(?Ez^9?#Q8ZAd^FQ+6Ccig(i~}T){uPC6n=lyp7HXGe%3({ z`jx3ur>+Om!>EH3yWE>=+uOQ;I>&oIQ@3$LfA>s+(y;x=ITxEyCY?*`V|I4-YY?@k z%HyDyTYjoy9;I+61Tn<}pxSETXIPFLf1PsS~fG{s0o0$oq zOT6qx$_7DiST(XMnP^;7wC)|+;?ppBo`4IA=aMOunve2UBc#TGG6^J?YEe1YP276se%w;{w*q>jXXVgc*X<$xMX=IxsYY2vZDK|BZN>zH| z)6-J6E*6YP@nlL*q1Q$wg=|AnrI{^ys1Is3|?^`!T=^ z=p4T0eDVI)8GIJux^g8tj39gSGsi-6IF*A3lrDGBqM$$BbRR`;Sx3v==sJ^GZB(=Q*p% zphc|FO1D4h({O3-+UBEotW-Mmv1qd_ z)b%|sj_i;NX9{>>D77+{oxtSh{gXF~I^LuIa{1toK4nt&5LtDj{HNwZIkjc(p~`zS zxU`!W42P$2(OoGh%4{6}`(HazhZ9dAP&AUOu)k-cHnqm+!Nc#G+g^WxfX4+Wiip4; znu7|WBjHOr{W|RVV5U@FIgo>76gci3nmaBMPKB6?8j-xB+HpIfv>IJE`}y;kymXm<-bH2=+LdgMW zzvy3HheEX|g3!CSZ!h_RqjR9p2*yAG*^%0D0ckhfuxvS7n2ex9e<`H}8cU-N97H~* z+$v&e;FD1xn-aMS5^W;;$ei$cAKy1IHTgt0DCkB|74s})dBp}OKLfF~Y+ z;Zp})MJ3hB0n@IJeFp@H)}|~1e&6`h7XGxzC)D^Vk&b*}9e(O0M4;5fRWMSgf0$g0 z1V=tk2;a(T6U2e8Xn0y@XOD&=tIuD^GI2YZjG#X@d)ej9aoMK9m9pz{u4tZq2O_w{ zBr0i$?Yh10@kbEy8}LmoY?|E%AZJPRMqm~n09IFr)wP2%ZUF~x%JVG9EzH{cj5Aqi zdxmU?3gW4Xp4W~IwvZolCPi-7N_%7;fMslRJ z-{UhA4f;?gwJG-Lu0OUmqPU~1xThyf!dN+K#BsY~OJ{U(M+n2pB=wRE!>aXqSdV?U zcTMar@DV0{8Jx2xDkr7XDPt*5Wz3uRd1cDlK8eAl86F|_=hem2y-yruC~v6V&g)<5 zX74WVx!k|r!@k*u(NXFKt>aC~bALnZ|G%f{dQ6iEUui9pZcSI7%~Be8ot}1IZS{w#_U|ti`Sd?OaKPDB;NMhYad0&2M#zlGn*%}TDD^C>npZ4?> zv9ZgpuJ{=%@$!E7xnW|yT4TGV2j^n?+gpb&I)&1qUbjuP_Dp zWzL(Ffw-<1sZ52)`fIVO+l;P>=JM4=hZgf$xXWjAdrICnk1-8i_$mE3<5Omsd%Xvq zl$*hui=MvW({$wN>Qpa@Z9j!HWki0l^S3-@qJv3?J&o4ciXnHj4lL~%^-8Oc-E?7R zGO24v zI8j~;xxvt&`cQh3_L`gqUdOe%OQ%c?zYM@JDNq@flJg* z7Hb_MeMFXL`lB;4FWdbY4wTw2?{>ws*T4glDBpm+1FYTJih_SD2DQc<)R)xsd{`vQ zRmF(3;1%+8V&)5}MDG6?bowYW<#4}3J$>51RC+8ZpkCnw#?iX)ZNQmn&c98br_Z;N zQbK6?(kIC3P4dwR!0=Ilj^b5XLa1D^N&0b$IZqMSfXb^za^+9q|l#~5m)G~paMp~(89@=JnT2LJLkpT+n>8i zC+6wG>8uZI{3e_g>!G!`sUp$13wNF*kU}VS$)smDC#ej)`M~g|@?$O*9CdF5Mv~7; z2fzH(&j4#S5Tl(=t*&(gY;aGRYY|X2icvv5Fig_OjRir{H9vmYUI)wKH>Kur`L<1hPsnv>i33gU8lM%PU0b4F5cYe|@oKmQD_65F!ly2J?uF5}j8HoB z_unSh4R<&>`8X{bKG{?lM8&2ZYBUb`R!Zjl&Mx&FTeC*xSl;W^8*-k|2jZF`<8I4Q z`x%pOpte@O=XV?f^hFUR0Y5sqAI6(hMbWfd=k(=+Q=CBk_-Uex$%7GX3iP-$c2yecK4MnQvq`^?n7y`kGTUi@SVi8Fu*(MC zAWl62#mGz~e05NrvY_UKf{^?lFVK(<@DjCVuVq(9N73F*=8IW{w2cPBElLCPY?`zh zqoRL}InhyFUgzobun)ql*W^so!Ly)Ow&M#ix#v56M3GaF2S#Uf=y27w=aVXYa&nIT)}NzM5qT6%uzKFHHvw(2 z&H$Q5zaS0#U#@>QY=)eEv}(%u(vsnhk+x!8>c_1uanw&Etyqi2!Kx*Wv~9{^Rz0u+ z+!ydcz2ts1;`o}b8ftZn>mfSdz^_*Y-+6_fn3W6_F}{6@W&$zFFvX#~#{Tp_FrhI; zOob32E&RJXY9!0iBF(a(pf5A_Agar9q|w|_1}g0#@Rjb9sUo|HFuxuEdHLw{fo5Iw zt;o?^Dz$o_@8jKyzLZ=_anz%9EK7PzE2z&Z4)rbGMMG~VdTf|QbFqQvL>Q``e6+5r zz?w7#*Q1+M7SA|tWXt}s>Cx^q(&yws0KZ(o6FrC*CYMmV4o(BmbGvelWp__^9bdDC zU9`>lU7I(=C2i^P&8!dVtT<;hzXm4Hb0O$IbJ0cRZ<6q8M=q$oJ&+@@^X#F)rVFVD z>Esg~x3K7opbJc~VrY8}>N4&H_U||5QfsiFkdR&_(P(=_xWNnG)=R@cf6pVQXT#4S z+S$#BSTDiYW??zzrtV>1Xv0|m`av!OjROn-TCDwaL*rZ*3d`{*GRDld$J zLOn1cVXrej!8_;07nGX@q1SGO;Y|tXV@kiesA!?ngIr)t*Bc&q!%~UEq$3 zxVo@NAsGk$i5nLehf(eI+>`|~2?tV(>b)D`%_)F~7x_Ye?F0A>HP+#A-5-eQtXwO| z9E=;Uq7Edr#uOJdByRO}{y74Gmgueyk_S$4LPqn>?#!?Oi+y+TaQ68-tLK#P;Yk$p zt(@t9vR289_1^6HRC7u~+-`fRO3J<9y5P~F(5$E?sA4xU)C~ZzoyU(KZ-oQcNkIdp zUdKOf*) z?}}Qb=c1mTqH{LNu}72Q-j)XgN|hF;Wj<*r`sVq{>qRwu+ea@-epM{LzAucv^Ma7L z(v=qc0Y>tVrE>P{j58^ZYwd+Ux|~qX!mfFs38>bu!WA2|(2UF_PpGs(Rl`d8z9a6T z1y2p5TdyTXdcnHKi{-N1l$$|oyfY5!C49tSybptEhz3(2Bdo4j(XrX4v+i2gaM=CY z?>&R@_M++)Zx}rkor8z8;DTaWX~;EBW!C;mF=OxV;+)kg+faE?chUryxDM5%i^K>) z2Hk|;A5C#tXm%(}mIH36+B#(-x21xhaH$;UMa51XPwQT8)PJeaL>cG1n3k_C__-|j zt$h*xh3hgrT?dp}G5-=5@P!Iua2qZ0&r^Ap^>wd275{zO%B`ZFuA+0q<@6#jDeMy! z(`;l3I7b~HDLWKw({7_SWRSJOFRp<+6+&z}Q+r8y&)LE-)k4FAg{MDR3s+ed-E>aH zX;hj7#TE^|&e28&r4#is$0)}Bh&{f}Tp=4~hSX+DJIusb=T`OS-^qQx`6Io*TQuWf z6Vg2*IibxWGym@7I!{$h_C%7I%l069PX@3G~1dzfM~`8I=z%Nd{`46 zU(YSsp10d!X2gaMN;mLyYwN|8+H%6w#gyB$f@jQKtA4F2!$QUzF`5YY(leATVw`vS zhA)bsb}qtEwhE(=vQpe4+|1X=Ra9Ao#ww<*5ne$RUO~_3E6BSdpGdDD*&KG1(q%F>Y9^ga|O(YP+GSd+o_UZYe5L07iSS z=L2EUlJ?%+vAz6)qLq#nP`O#O&VIf;^7*pKPrjBv-SI4Jd!JusG$W)rYgN#Wiyi}k zjD{cvj7Y!cVmSp}N((gh*ZZCl-DL2xvreGljf?}vsk&yGXpoD9MHe^h%x`CJo`6fu zhhd>v_lZy|?(hhNn~-kXKnon;2hv3Asf+%bsFs6Z$dbM(0F+SFvqFCqTi=wJ9Y-8i z{>eN&&BABnf#i|~MO)dvpwP^)>lQL!r%*#^U6zYShkPP8d&qv9-9f$^XN1_s z$gdI#XCI){L38N*xo*i4v(xNl5YU$>#l#b1zpRw}hoV}Nr9`+CdCb_vONp(cCc)6dQItZfWzTEUy3W=wGxCO4DQau*V znS{luW=)|y!G7wXr0IrKNOWAAP?iaT4MPnB7(!zgBG4;Ot|lm~C}E_4&M41F0dada zQW3ML3uX3IRu<}5-7bglH9gV}$fI%XY*y4OF?Nv2U9~dZHfnFP;$U`Sb=NB1kP4CL z9xuhNFo!yRtX-e#yPEvmmVKDYFY9njGd@ytWXF!GW-MNmn=thXS~PPt@h@2*HyPEH zYriW%o-Ov2+sXbEt+Y+t_&nXq9E z>VH3CX7*y*4idkioE~`O=cp}vOf^Gl@%Jf<6wo&u|Cp-{82?TXNSS*&nL~uMe0Zq; zQ@qn^iI1C5u#IalbSdg2)&vNoh1@6l>cy~n4UU50HrS3gbg3}S4GQBx6kEG5un z!V%Wp#bI6=rWjk)Vyrc&P9zFyJ3loC#`6Sf6cW?`mv7=})@<(3av&B?zV*Z9TW{2< z$7Ceg^Yiov;z^bP^?8>OCg0UG61rER(*Aw_a}W8E90SeH(7i_2>}~x9ls3aWF89|A zVR)*>j$G#9Ug~Go>Y4;sKgphv#w%U1cwu>uePNT9oano=pYzQfXHA~FW@UcLeWcEG ziz0)5Flp%cv;&9*)w!3P29ul)w6zpHTT0Hrdi1_2-#Va}sv_g0sd2Ez=Hj{Ht2=pa zm^vZe-#eG}ribuEZqxOxlI#g{DE`w34=uBo$qnn>8-q7pao+w|wG^WvgpoL%-ZU5D zH-X{FUy#vGc<2DtPICvx(nz(4&HmNIN7mX8PO23?;|^g>vOwsYvxCcYHUZr1Kl#+S zAf(#y3Lti;{%2Y$b`lTZ`!Z4%i5`8+sU?Y^*ChC?h`Ppe$1V^51T_QnlSjC=03+ok zAqj)uT5+6E7p2Q%A5Y-Q#7L;6CC_KaZ+BR4U)gOyNsaYD`FA>mN0Rm0^h1_187}-* z5OU3z{#(_rq}G*ta(utiCd_NN%Zdwx$d!stc-Dt>zj?d~up>ttsF5cp9Ib$A@99ciL#0WDJ-8@i(U=QtESNc`qZ!P z<6m^<1}3_tXIXk|`4WlO{m3D4iBwrCl66o!Na?d2;>8mBWp=0g_w1Rtm&P*9#0Jbn zW6MPqiCDb_*p9qL*?fjxj%NVe}*DqN`f#!?0$urQ!WyOMj4p zXz^}e=C8?zi{#B=+0NV#8hbAgK~F<^;d!mc?AKPr*u@H*8!`|fzsmolf@Gcw z%z*al1B{@0rC3k00kOFuz3);_VHS2_@15`(OI|Uh1b|?=sQ1h(DsBiK_0x6{&@AuU z_8I%spr&l@f-bzp*e*$G!yuH!sZwA^@MS9Ms&sO z<3s{WqXF7c1gM~#8D!ipuCsqP+2Z;7oJ_mwPq#?lhqB=oQ^Y4FdaAyiF527G+ zswL_)p9aa#kEd&+j1f!f6IBIGw$v8_?Xjh1NWgsV82QpMU(B*mY{ZVbY*o3+s8epB zr)3`X$kgqW9N0Uz3~u3CPA)DT^rWaAoQTvo33}dj!7aMWx5zm(&u86asoy~H`sN@! z<=NNd(~4L2gy|H^(lgHq_4aj_=l+#7U|D<7U0w-ym^#VXq3ychc9j$2c$)E6H+_6O zfL-DR5yLLqzIH!k3s)ekeDWBeEWA{1+!tIkh#>RG@Ni*`aZvxK4}6s4*np`Th=P$c zQi1M-EWNQoFHby~=QWH)>HIQ5udo{%4OWmAZyZQCc!?-~ZW%moK5EeFqF817a{mgd zL%G-OV&o!$yO7aQK~pd&$KCgI?Z+EsUKlF;5?=M!a3fjoHpZ;&k!C0#TZny^`!_58 zI^b_4vSrLAYA6k>5Fh*Hn*V 1 else None\n\n eeg_timestamps = np.array(eeg_stream['time_stamps'])\n eeg_data = np.array(eeg_stream['time_series']).T\n channel_names = get_channel_names_from_xdf(eeg_stream)\n sfreq = float(eeg_stream['info']['nominal_srate'][0])\n\n valid_idx = [i for i, ch in enumerate(channel_names) if ch not in NON_EEG]\n channel_names = [channel_names[i] for i in valid_idx]\n eeg_data = eeg_data[valid_idx, :]\n channel_names = [RENAME.get(ch, ch) for ch in channel_names]\n\n ts_arr = np.asarray(marker_stream['time_series'], dtype=float)\n marker_data = ts_arr[:, 0].astype(int)\n marker_ts = ts_arr[:, 1]\n keep = np.isin(marker_data, TARGET_MARKERS)\n return eeg_data, eeg_timestamps, marker_data[keep], marker_ts[keep], channel_names, sfreq\n\n\ndef bandpass(data, lo, hi, sfreq, order=4):\n nyq = sfreq / 2.0\n b, a = butter(order, [max(lo, 0.5) / nyq, min(hi, nyq - 0.1) / nyq], btype='band')\n return filtfilt(b, a, data, axis=-1)\n\n\ndef extract_epochs(eeg_data, eeg_ts, marker_data, marker_ts, sfreq, begin_code,\n t_pre=T_PRE, t_post=T_POST):\n \"\"\"Returns (n_epochs, n_ch, n_samp) — all epochs trimmed to the same length.\"\"\"\n epochs = []\n n_pre = int(abs(t_pre) * sfreq)\n\n for bi in np.where(marker_data == begin_code)[0]:\n t_start = marker_ts[bi]\n i0 = np.searchsorted(eeg_ts, t_start + t_pre)\n i1 = np.searchsorted(eeg_ts, t_start + t_post)\n if i0 < 0 or i1 > eeg_data.shape[1]:\n continue\n ep = eeg_data[:, i0:i1].copy()\n if ep.shape[1] > n_pre:\n ep -= ep[:, :n_pre].mean(axis=1, keepdims=True)\n epochs.append(ep)\n\n if not epochs:\n return np.empty((0, eeg_data.shape[0], 0))\n min_len = min(e.shape[-1] for e in epochs)\n return np.stack([e[:, :min_len] for e in epochs])\n\n\ndef load_session_epochs(filepath):\n \"\"\"Bandpass continuous EEG, epoch on MI/REST cues, keep ACTIVE window [0, T_POST].\n Returns X (n_trials, n_ch, n_samp), y (1=MI, 0=REST), ch_names, sfreq.\n \"\"\"\n eeg, eeg_ts, mk, mk_ts, ch_names, sfreq = load_xdf_file(filepath)\n eeg_bp = bandpass(eeg, BP_LO, BP_HI, sfreq)\n\n mi = extract_epochs(eeg_bp, eeg_ts, mk, mk_ts, sfreq, MI_BEGIN)\n rest = extract_epochs(eeg_bp, eeg_ts, mk, mk_ts, sfreq, REST_BEGIN)\n\n n_pre = int(abs(T_PRE) * sfreq)\n if mi.shape[-1] > n_pre: mi = mi[..., n_pre:]\n if rest.shape[-1] > n_pre: rest = rest[..., n_pre:]\n\n n = min(mi.shape[-1], rest.shape[-1]) if (mi.size and rest.size) else 0\n mi, rest = mi[..., :n], rest[..., :n]\n\n X = np.concatenate([mi, rest], axis=0)\n y = np.concatenate([np.ones(len(mi), int), np.zeros(len(rest), int)])\n return X, y, ch_names, sfreq\n\n\n# ── CSP + LDA (2-class, numpy/scipy only) ────────────────────────────────────\n\ndef _mean_cov(X):\n \"\"\"Average trace-normalized trial covariance. X: (n_trials, n_ch, n_samp).\"\"\"\n covs = np.einsum('ijk,ilk->ijl', X, X)\n covs /= np.trace(covs, axis1=1, axis2=2)[:, None, None]\n return covs.mean(axis=0)\n\n\nclass CSPLDA:\n \"\"\"Common Spatial Patterns (log-var features) + Linear Discriminant Analysis.\"\"\"\n\n def __init__(self, n_csp=N_CSP, reg=1e-6):\n self.n_csp = n_csp\n self.reg = reg\n\n def fit(self, X, y):\n assert set(np.unique(y)) == {0, 1}, 'CSPLDA requires both classes in training set'\n C1 = _mean_cov(X[y == 1])\n C0 = _mean_cov(X[y == 0])\n # Generalized eigenproblem: C1 w = λ (C0 + C1) w\n evals, evecs = eigh(C1, C0 + C1)\n order = np.argsort(evals)\n k = self.n_csp // 2\n # Stack bottom-k (max class-0 variance) and top-k (max class-1 variance) filters\n self.filters_ = np.concatenate([evecs[:, order[:k]],\n evecs[:, order[-k:]]], axis=1).T # (n_csp, n_ch)\n\n F = self._features(X)\n mu1, mu0 = F[y == 1].mean(0), F[y == 0].mean(0)\n Sw = np.cov(F[y == 1].T, ddof=1) + np.cov(F[y == 0].T, ddof=1)\n Sw += self.reg * np.eye(Sw.shape[0])\n self.coef_ = np.linalg.solve(Sw, mu1 - mu0)\n self.intercept_ = -self.coef_ @ ((mu1 + mu0) / 2)\n return self\n\n def _features(self, X):\n Z = np.einsum('fc,ncs->nfs', self.filters_, X) # spatial filter\n var = Z.var(axis=-1, ddof=1)\n return np.log(var / var.sum(axis=1, keepdims=True)) # normalized log-var\n\n def decision_function(self, X):\n return self._features(X) @ self.coef_ + self.intercept_\n\n def predict(self, X):\n return (self.decision_function(X) > 0).astype(int)\n\n\n# ── Evaluation metrics ───────────────────────────────────────────────────────\n\ndef evaluate(clf, X, y):\n margin = clf.decision_function(X)\n pred = (margin > 0).astype(int)\n acc = (pred == y).mean()\n amp = np.abs(margin).mean()\n m1, m0 = margin[y == 1], margin[y == 0]\n fisher = (m1.mean() - m0.mean()) ** 2 / (m1.var(ddof=1) + m0.var(ddof=1) + 1e-30)\n return dict(acc=acc, amp=amp, fisher=fisher, margin=margin, y=y, pred=pred)\n\n\ndef spectral_snr(X, y, ch_idx, sfreq, band=MU_BAND):\n \"\"\"Ratio of REST mu-power to MI mu-power averaged over selected channels.\"\"\"\n def band_pwr(sig):\n f, p = welch(sig, fs=sfreq,\n nperseg=min(int(sfreq * 2), sig.shape[-1]),\n noverlap=int(sfreq), axis=-1)\n m = (f >= band[0]) & (f < band[1])\n return np.trapezoid(p[..., m], f[m], axis=-1).mean()\n\n return band_pwr(X[y == 0][:, ch_idx, :]) / (band_pwr(X[y == 1][:, ch_idx, :]) + 1e-30)" + "source": [ + "# ── XDF loading + session parsing ─────────────────────────────────────────────\n", + "\n", + "def get_channel_names_from_xdf(eeg_stream):\n", + " ch_desc = eeg_stream['info']['desc'][0]\n", + " channels = ch_desc.get('channels', [{}])[0].get('channel', [])\n", + " return [ch['label'][0] for ch in channels]\n", + "\n", + "\n", + "# Tolerates the 'ONOLINE' typo in subj 003 / S005\n", + "_SESSION_RE = re.compile(r'ses-(S\\d+)(O[A-Z]*LINE)_(FES|NOFES)')\n", + "_SUBJ_RE = re.compile(r'SUBJ_(\\d+)')\n", + "\n", + "def parse_session(path):\n", + " \"\"\"Return (subject, session_id, kind, stim) or None.\"\"\"\n", + " base = os.path.basename(path)\n", + " m_subj = _SUBJ_RE.search(base)\n", + " m_ses = _SESSION_RE.search(base)\n", + " if not (m_subj and m_ses):\n", + " return None\n", + " ses_id, raw_kind, stim = m_ses.group(1), m_ses.group(2), m_ses.group(3)\n", + " kind = 'OFFLINE' if 'OFF' in raw_kind else 'ONLINE'\n", + " return m_subj.group(1), ses_id, kind, stim\n", + "\n", + "\n", + "def load_xdf_file(filepath):\n", + " streams, _ = pyxdf.load_xdf(filepath)\n", + "\n", + " eeg_stream = marker_stream = None\n", + " for s in streams:\n", + " stype = s['info']['type'][0].lower()\n", + " if stype == 'eeg': eeg_stream = s\n", + " elif stype == 'markers': marker_stream = s\n", + " if eeg_stream is None or marker_stream is None:\n", + " eeg_stream = streams[0]\n", + " marker_stream = streams[1] if len(streams) > 1 else None\n", + "\n", + " eeg_timestamps = np.array(eeg_stream['time_stamps'])\n", + " eeg_data = np.array(eeg_stream['time_series']).T\n", + " channel_names = get_channel_names_from_xdf(eeg_stream)\n", + " sfreq = float(eeg_stream['info']['nominal_srate'][0])\n", + "\n", + " valid_idx = [i for i, ch in enumerate(channel_names) if ch not in NON_EEG]\n", + " channel_names = [channel_names[i] for i in valid_idx]\n", + " eeg_data = eeg_data[valid_idx, :]\n", + " channel_names = [RENAME.get(ch, ch) for ch in channel_names]\n", + "\n", + " ts_arr = np.asarray(marker_stream['time_series'], dtype=float)\n", + " marker_data = ts_arr[:, 0].astype(int)\n", + " marker_ts = ts_arr[:, 1]\n", + " keep = np.isin(marker_data, TARGET_MARKERS)\n", + " return eeg_data, eeg_timestamps, marker_data[keep], marker_ts[keep], channel_names, sfreq\n", + "\n", + "\n", + "# ── Preprocessing primitives ─────────────────────────────────────────────────\n", + "\n", + "def notch_filter(data, freq, sfreq, Q=NOTCH_Q):\n", + " \"\"\"IIR notch at `freq` Hz — removes powerline interference.\"\"\"\n", + " b, a = iirnotch(freq, Q, fs=sfreq)\n", + " return filtfilt(b, a, data, axis=-1)\n", + "\n", + "\n", + "def car(data):\n", + " \"\"\"Common Average Reference: subtract the across-channel mean at each sample.\n", + " Standard spatial preprocessing for MI-BCI (McFarland 1997; Blankertz 2008).\n", + " \"\"\"\n", + " return data - data.mean(axis=0, keepdims=True)\n", + "\n", + "\n", + "def bandpass(data, lo, hi, sfreq, order=4):\n", + " nyq = sfreq / 2.0\n", + " b, a = butter(order, [max(lo, 0.5) / nyq, min(hi, nyq - 0.1) / nyq], btype='band')\n", + " return filtfilt(b, a, data, axis=-1)\n", + "\n", + "\n", + "def reject_by_ptp(X, thresh_uv=PTP_REJECT_UV):\n", + " \"\"\"Boolean mask: True = keep (max-across-channels peak-to-peak < threshold).\n", + " Amplitude criterion for blink / movement artifact rejection (Nolan 2010).\n", + " \"\"\"\n", + " if X.size == 0:\n", + " return np.zeros(0, dtype=bool)\n", + " ptp = X.max(axis=-1) - X.min(axis=-1) # (n_trials, n_ch)\n", + " return ptp.max(axis=-1) < thresh_uv\n", + "\n", + "\n", + "def extract_epochs(eeg_data, eeg_ts, marker_data, marker_ts, sfreq, begin_code,\n", + " t_pre=T_PRE, t_post=T_POST):\n", + " \"\"\"Returns (n_epochs, n_ch, n_samp) — all epochs trimmed to the same length.\"\"\"\n", + " epochs = []\n", + " n_pre = int(abs(t_pre) * sfreq)\n", + "\n", + " for bi in np.where(marker_data == begin_code)[0]:\n", + " t_start = marker_ts[bi]\n", + " i0 = np.searchsorted(eeg_ts, t_start + t_pre)\n", + " i1 = np.searchsorted(eeg_ts, t_start + t_post)\n", + " if i0 < 0 or i1 > eeg_data.shape[1]:\n", + " continue\n", + " ep = eeg_data[:, i0:i1].copy()\n", + " if ep.shape[1] > n_pre:\n", + " ep -= ep[:, :n_pre].mean(axis=1, keepdims=True)\n", + " epochs.append(ep)\n", + "\n", + " if not epochs:\n", + " return np.empty((0, eeg_data.shape[0], 0))\n", + " min_len = min(e.shape[-1] for e in epochs)\n", + " return np.stack([e[:, :min_len] for e in epochs])\n", + "\n", + "\n", + "def load_session_epochs(filepath):\n", + " \"\"\"Full per-session preprocessing pipeline:\n", + " 1. Load XDF, drop non-EEG channels\n", + " 2. Notch at 60 Hz (powerline)\n", + " 3. Common Average Reference\n", + " 4. Bandpass 8–30 Hz (mu + beta — the MI band)\n", + " 5. Epoch on cues, baseline-correct to [-1, 0] s\n", + " 6. Reject epochs with any-channel peak-to-peak > PTP_REJECT_UV (blinks / movement)\n", + " Returns X (n_trials, n_ch, n_samp), y (1=MI, 0=REST), ch_names, sfreq, n_rejected.\n", + " \"\"\"\n", + " eeg, eeg_ts, mk, mk_ts, ch_names, sfreq = load_xdf_file(filepath)\n", + "\n", + " eeg = notch_filter(eeg, NOTCH_FREQ, sfreq)\n", + " if USE_CAR:\n", + " eeg = car(eeg)\n", + " eeg_bp = bandpass(eeg, BP_LO, BP_HI, sfreq)\n", + "\n", + " mi = extract_epochs(eeg_bp, eeg_ts, mk, mk_ts, sfreq, MI_BEGIN)\n", + " rest = extract_epochs(eeg_bp, eeg_ts, mk, mk_ts, sfreq, REST_BEGIN)\n", + "\n", + " n_pre = int(abs(T_PRE) * sfreq)\n", + " if mi.shape[-1] > n_pre: mi = mi[..., n_pre:]\n", + " if rest.shape[-1] > n_pre: rest = rest[..., n_pre:]\n", + "\n", + " n = min(mi.shape[-1], rest.shape[-1]) if (mi.size and rest.size) else 0\n", + " mi, rest = mi[..., :n], rest[..., :n]\n", + "\n", + " n0_mi, n0_rest = len(mi), len(rest)\n", + " mi = mi[reject_by_ptp(mi)]\n", + " rest = rest[reject_by_ptp(rest)]\n", + " n_rejected = (n0_mi - len(mi)) + (n0_rest - len(rest))\n", + "\n", + " X = np.concatenate([mi, rest], axis=0) if (len(mi) or len(rest)) else np.empty((0, len(ch_names), 0))\n", + " y = np.concatenate([np.ones(len(mi), int), np.zeros(len(rest), int)])\n", + " return X, y, ch_names, sfreq, n_rejected\n", + "\n", + "\n", + "# ── CSP + LDA (2-class, numpy/scipy only) ────────────────────────────────────\n", + "\n", + "def _mean_cov(X):\n", + " \"\"\"Average trace-normalized trial covariance. X: (n_trials, n_ch, n_samp).\"\"\"\n", + " covs = np.einsum('ijk,ilk->ijl', X, X)\n", + " covs /= np.trace(covs, axis1=1, axis2=2)[:, None, None]\n", + " return covs.mean(axis=0)\n", + "\n", + "\n", + "class CSPLDA:\n", + " \"\"\"Common Spatial Patterns (log-var features) + Linear Discriminant Analysis.\n", + " Ramoser 2000; Blankertz 2008. Ledoit-Wolf style cov shrinkage so CAR\n", + " (which drops rank by 1) does not break the generalized eigenproblem.\n", + " \"\"\"\n", + "\n", + " def __init__(self, n_csp=N_CSP, cov_shrink=0.05, lda_reg=1e-4):\n", + " self.n_csp = n_csp\n", + " self.cov_shrink = cov_shrink\n", + " self.lda_reg = lda_reg\n", + "\n", + " def fit(self, X, y):\n", + " assert set(np.unique(y)) == {0, 1}, 'CSPLDA requires both classes in training set'\n", + " C1 = _mean_cov(X[y == 1])\n", + " C0 = _mean_cov(X[y == 0])\n", + " n_ch = C1.shape[0]\n", + " s = self.cov_shrink\n", + " C1 = (1 - s) * C1 + s * (np.trace(C1) / n_ch) * np.eye(n_ch)\n", + " C0 = (1 - s) * C0 + s * (np.trace(C0) / n_ch) * np.eye(n_ch)\n", + " evals, evecs = eigh(C1, C0 + C1)\n", + " order = np.argsort(evals)\n", + " k = self.n_csp // 2\n", + " self.filters_ = np.concatenate([evecs[:, order[:k]],\n", + " evecs[:, order[-k:]]], axis=1).T\n", + "\n", + " F = self._features(X)\n", + " mu1, mu0 = F[y == 1].mean(0), F[y == 0].mean(0)\n", + " Sw = np.cov(F[y == 1].T, ddof=1) + np.cov(F[y == 0].T, ddof=1)\n", + " Sw += self.lda_reg * np.eye(Sw.shape[0])\n", + " self.coef_ = np.linalg.solve(Sw, mu1 - mu0)\n", + " self.intercept_ = -self.coef_ @ ((mu1 + mu0) / 2)\n", + " return self\n", + "\n", + " def _features(self, X):\n", + " Z = np.einsum('fc,ncs->nfs', self.filters_, X)\n", + " var = Z.var(axis=-1, ddof=1)\n", + " return np.log(var / var.sum(axis=1, keepdims=True))\n", + "\n", + " def decision_function(self, X):\n", + " return self._features(X) @ self.coef_ + self.intercept_\n", + "\n", + " def predict(self, X):\n", + " return (self.decision_function(X) > 0).astype(int)\n", + "\n", + "\n", + "# ── Evaluation metrics ───────────────────────────────────────────────────────\n", + "\n", + "def evaluate(clf, X, y):\n", + " margin = clf.decision_function(X)\n", + " pred = (margin > 0).astype(int)\n", + " acc = (pred == y).mean()\n", + " amp = np.abs(margin).mean()\n", + " m1, m0 = margin[y == 1], margin[y == 0]\n", + " fisher = (m1.mean() - m0.mean()) ** 2 / (m1.var(ddof=1) + m0.var(ddof=1) + 1e-30)\n", + " return dict(acc=acc, amp=amp, fisher=fisher, margin=margin, y=y, pred=pred)\n", + "\n", + "\n", + "def spectral_snr(X, y, ch_idx, sfreq, band=MU_BAND):\n", + " \"\"\"Ratio of REST mu-power to MI mu-power averaged over selected channels.\"\"\"\n", + " def band_pwr(sig):\n", + " f, p = welch(sig, fs=sfreq,\n", + " nperseg=min(int(sfreq * 2), sig.shape[-1]),\n", + " noverlap=int(sfreq), axis=-1)\n", + " m = (f >= band[0]) & (f < band[1])\n", + " return np.trapezoid(p[..., m], f[m], axis=-1).mean()\n", + "\n", + " return band_pwr(X[y == 0][:, ch_idx, :]) / (band_pwr(X[y == 1][:, ch_idx, :]) + 1e-30)" + ] }, { "cell_type": "markdown", @@ -66,81 +376,571 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "id": "d266216b", - "metadata": {}, - "outputs": [], - "source": "xdf_files = sorted(glob.glob(os.path.join(DATA_DIR, '*.xdf')))\nprint(f'Found {len(xdf_files)} XDF file(s).\\n')\n\n# sessions[subject][session_id] = dict(X, y, kind, stim, ch_names, sfreq, file)\nsessions = {}\n\nfor fp in xdf_files:\n meta = parse_session(fp)\n if meta is None:\n print(f' SKIP (unparsed): {os.path.basename(fp)}')\n continue\n subj, ses_id, kind, stim = meta\n try:\n X, y, ch_names, sfreq = load_session_epochs(fp)\n except Exception as e:\n print(f' ERROR {os.path.basename(fp)}: {e}')\n continue\n\n sessions.setdefault(subj, {})[ses_id] = dict(\n X=X, y=y, kind=kind, stim=stim,\n ch_names=ch_names, sfreq=sfreq, file=os.path.basename(fp))\n\n print(f' {subj}/{ses_id} {kind:<7} {stim:<5} '\n f'n={len(y):3d} (MI={int(y.sum())}, REST={int((1-y).sum())})')\n\nsubjects = sorted(sessions.keys())\nprint(f'\\nLoaded {len(subjects)} subject(s): {subjects}')" + "metadata": { + "execution": { + "iopub.execute_input": "2026-04-22T00:51:37.607052Z", + "iopub.status.busy": "2026-04-22T00:51:37.606969Z", + "iopub.status.idle": "2026-04-22T00:52:02.122083Z", + "shell.execute_reply": "2026-04-22T00:52:02.121262Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Found 18 XDF file(s).\n", + "Preprocessing: notch 60 Hz → CAR → bandpass 8–30 Hz → baseline-correct → PTP-reject @ 100 µV\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 003/S001 OFFLINE FES n= 89 (MI=44, REST=45) rejected=1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 003/S002 ONLINE FES n= 59 (MI=29, REST=30) rejected=1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 003/S003 ONLINE NOFES n= 38 (MI=17, REST=21) rejected=0\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 003/S004 OFFLINE NOFES n= 86 (MI=42, REST=44) rejected=4\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 003/S005 ONLINE NOFES n= 43 (MI=19, REST=24) rejected=17\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 003/S006 ONLINE FES n= 52 (MI=23, REST=29) rejected=8\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 005/S001 OFFLINE FES n= 90 (MI=45, REST=45) rejected=0\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 005/S002 ONLINE FES n= 60 (MI=30, REST=30) rejected=0\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 005/S003 ONLINE NOFES n= 59 (MI=29, REST=30) rejected=1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 005/S004 OFFLINE NOFES n= 89 (MI=44, REST=45) rejected=1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 005/S005 ONLINE NOFES n= 58 (MI=28, REST=30) rejected=2\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 005/S006 ONLINE FES n= 59 (MI=30, REST=29) rejected=1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 009/S001 OFFLINE FES n= 57 (MI=33, REST=24) rejected=33\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 009/S002 ONLINE FES n= 42 (MI=21, REST=21) rejected=18\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 009/S003 ONLINE NOFES n= 1 (MI=1, REST=0) rejected=59\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 009/S004 OFFLINE NOFES n= 86 (MI=42, REST=44) rejected=4\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 009/S005 ONLINE NOFES n= 60 (MI=30, REST=30) rejected=0\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 009/S006 ONLINE FES n= 50 (MI=26, REST=24) rejected=10\n", + "\n", + "Loaded 3 subject(s): ['003', '005', '009'] | total artifact-rejected epochs: 160\n" + ] + } + ], + "source": [ + "xdf_files = sorted(glob.glob(os.path.join(DATA_DIR, '*.xdf')))\n", + "print(f'Found {len(xdf_files)} XDF file(s).')\n", + "print(f'Preprocessing: notch {NOTCH_FREQ:.0f} Hz → '\n", + " f'{\"CAR → \" if USE_CAR else \"\"}bandpass {BP_LO:.0f}–{BP_HI:.0f} Hz → '\n", + " f'baseline-correct → PTP-reject @ {PTP_REJECT_UV:.0f} µV\\n')\n", + "\n", + "# sessions[subject][session_id] = dict(X, y, kind, stim, ch_names, sfreq, file)\n", + "sessions = {}\n", + "total_rej = 0\n", + "\n", + "for fp in xdf_files:\n", + " meta = parse_session(fp)\n", + " if meta is None:\n", + " print(f' SKIP (unparsed): {os.path.basename(fp)}')\n", + " continue\n", + " subj, ses_id, kind, stim = meta\n", + " try:\n", + " X, y, ch_names, sfreq, n_rej = load_session_epochs(fp)\n", + " except Exception as e:\n", + " print(f' ERROR {os.path.basename(fp)}: {e}')\n", + " continue\n", + "\n", + " sessions.setdefault(subj, {})[ses_id] = dict(\n", + " X=X, y=y, kind=kind, stim=stim,\n", + " ch_names=ch_names, sfreq=sfreq, file=os.path.basename(fp))\n", + " total_rej += n_rej\n", + "\n", + " print(f' {subj}/{ses_id} {kind:<7} {stim:<5} '\n", + " f'n={len(y):3d} (MI={int(y.sum())}, REST={int((1-y).sum())}) '\n", + " f'rejected={n_rej}')\n", + "\n", + "subjects = sorted(sessions.keys())\n", + "print(f'\\nLoaded {len(subjects)} subject(s): {subjects} | '\n", + " f'total artifact-rejected epochs: {total_rej}')" + ] }, { "cell_type": "markdown", "id": "7b8c8bea", "metadata": {}, - "source": "## Verify Session Layout" + "source": [ + "## Verify Session Layout" + ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "id": "611baf23", - "metadata": {}, - "outputs": [], - "source": "# Verify channel layout is consistent across sessions, locate motor channels\nref_subj = subjects[0]\nref_ses = next(iter(sessions[ref_subj].values()))\nchannel_names_global = ref_ses['ch_names']\nsfreq_global = ref_ses['sfreq']\n\nmismatches = [f'{subj}/{sid}' for subj in subjects for sid, s in sessions[subj].items()\n if s['ch_names'] != channel_names_global]\nif mismatches:\n print('!! channel mismatch in:', mismatches)\n\nmotor_idx_global = [channel_names_global.index(c) for c in MOTOR_CH\n if c in channel_names_global]\n\nprint(f'Channels ({len(channel_names_global)}): {channel_names_global}')\nprint(f'Sampling rate: {sfreq_global} Hz')\nprint(f'Motor channels {MOTOR_CH} → indices {motor_idx_global}')" + "metadata": { + "execution": { + "iopub.execute_input": "2026-04-22T00:52:02.124753Z", + "iopub.status.busy": "2026-04-22T00:52:02.124540Z", + "iopub.status.idle": "2026-04-22T00:52:02.130065Z", + "shell.execute_reply": "2026-04-22T00:52:02.129699Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Channels (32): ['Fp1', 'Fpz', 'Fp2', 'F7', 'F3', 'Fz', 'F4', 'F8', 'FC5', 'FC1', 'FC2', 'FC6', 'M1', 'T7', 'C3', 'Cz', 'C4', 'T8', 'M2', 'CP5', 'CP1', 'CP2', 'CP6', 'P7', 'P3', 'Pz', 'P4', 'P8', 'POz', 'O1', 'Oz', 'O2']\n", + "Sampling rate: 512.0 Hz\n", + "Motor channels ['C3', 'Cz', 'C4'] → indices [14, 15, 16]\n" + ] + } + ], + "source": [ + "# Verify channel layout is consistent across sessions, locate motor channels\n", + "ref_subj = subjects[0]\n", + "ref_ses = next(iter(sessions[ref_subj].values()))\n", + "channel_names_global = ref_ses['ch_names']\n", + "sfreq_global = ref_ses['sfreq']\n", + "\n", + "mismatches = [f'{subj}/{sid}' for subj in subjects for sid, s in sessions[subj].items()\n", + " if s['ch_names'] != channel_names_global]\n", + "if mismatches:\n", + " print('!! channel mismatch in:', mismatches)\n", + "\n", + "motor_idx_global = [channel_names_global.index(c) for c in MOTOR_CH\n", + " if c in channel_names_global]\n", + "\n", + "print(f'Channels ({len(channel_names_global)}): {channel_names_global}')\n", + "print(f'Sampling rate: {sfreq_global} Hz')\n", + "print(f'Motor channels {MOTOR_CH} → indices {motor_idx_global}')" + ] }, { "cell_type": "markdown", "id": "70922abb", "metadata": {}, - "source": "## Train CSP + LDA on OFFLINE, Evaluate on ONLINE" + "source": [ + "## Train CSP + LDA on OFFLINE, Evaluate on ONLINE" + ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "id": "f5e80da3", - "metadata": {}, - "outputs": [], - "source": "results = [] # one row per (subject, pair, condition)\n\nfor subj in subjects:\n subj_ses = sessions[subj]\n\n for pair in PAIRS:\n needed = (pair['train'], pair['online_fes'], pair['online_nofes'])\n missing = [k for k in needed if k not in subj_ses]\n if missing:\n print(f'[{subj}] {pair[\"name\"]}: missing {missing} — skipping')\n continue\n\n train = subj_ses[pair['train']]\n clf = CSPLDA(n_csp=N_CSP).fit(train['X'], train['y'])\n train_acc = (clf.predict(train['X']) == train['y']).mean()\n\n for cond_key, cond_label in [('online_fes', 'FES'), ('online_nofes', 'NOFES')]:\n te = subj_ses[pair[cond_key]]\n res = evaluate(clf, te['X'], te['y'])\n snr_s = spectral_snr(te['X'], te['y'], motor_idx_global, te['sfreq'])\n\n results.append(dict(\n subject=subj, pair=pair['name'], condition=cond_label,\n train_file=train['file'], test_file=te['file'],\n train_acc=train_acc, n_test=len(te['y']),\n acc=res['acc'], amp=res['amp'], fisher=res['fisher'], mu_snr=snr_s,\n margin=res['margin'], y_test=res['y'], pred=res['pred'],\n ))\n\n# Results table\nhdr = f'{\"Subj\":<5} {\"Pair\":<28} {\"Cond\":<6} {\"n\":>4} {\"trainAcc\":>9} {\"acc\":>7} {\"|marg|\":>8} {\"Fisher\":>8} {\"muSNR\":>8}'\nprint('\\n' + hdr)\nprint('-' * len(hdr))\nfor r in results:\n print(f'{r[\"subject\"]:<5} {r[\"pair\"]:<28} {r[\"condition\"]:<6} {r[\"n_test\"]:>4} '\n f'{r[\"train_acc\"]:>9.3f} {r[\"acc\"]:>7.3f} {r[\"amp\"]:>8.3f} '\n f'{r[\"fisher\"]:>8.3f} {r[\"mu_snr\"]:>8.3f}')" + "metadata": { + "execution": { + "iopub.execute_input": "2026-04-22T00:52:02.135245Z", + "iopub.status.busy": "2026-04-22T00:52:02.135163Z", + "iopub.status.idle": "2026-04-22T00:52:03.802461Z", + "shell.execute_reply": "2026-04-22T00:52:03.802016Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[009] Pair1 (train=OFFLINE_FES) / NOFES: only 1 surviving epochs — dropping (likely electrode/noise issue)\n", + "\n", + "Subj Pair Cond n trainAcc acc |marg| Fisher muSNR\n", + "-------------------------------------------------------------------------------------------\n", + "003 Pair1 (train=OFFLINE_FES) FES 59 0.843 0.542 0.879 0.017 1.347\n", + "003 Pair1 (train=OFFLINE_FES) NOFES 38 0.843 0.737 0.910 0.683 1.219\n", + "003 Pair2 (train=OFFLINE_NOFES) FES 52 0.907 0.538 1.166 0.000 1.273\n", + "003 Pair2 (train=OFFLINE_NOFES) NOFES 43 0.907 0.605 1.071 0.029 1.296\n", + "005 Pair1 (train=OFFLINE_FES) FES 60 0.978 0.817 3.346 2.498 2.695\n", + "005 Pair1 (train=OFFLINE_FES) NOFES 59 0.978 0.932 3.620 3.029 2.399\n", + "005 Pair2 (train=OFFLINE_NOFES) FES 59 1.000 0.949 5.740 6.291 2.911\n", + "005 Pair2 (train=OFFLINE_NOFES) NOFES 58 1.000 0.897 5.261 4.325 2.287\n", + "009 Pair1 (train=OFFLINE_FES) FES 42 0.667 0.571 0.304 0.040 1.326\n", + "009 Pair2 (train=OFFLINE_NOFES) FES 50 1.000 0.520 4.673 6.192 1.594\n", + "009 Pair2 (train=OFFLINE_NOFES) NOFES 60 1.000 0.917 3.754 8.959 2.000\n" + ] + } + ], + "source": [ + "MIN_TEST_TRIALS = 10 # skip test sessions too badly corrupted to evaluate\n", + "\n", + "results = [] # one row per (subject, pair, condition)\n", + "\n", + "for subj in subjects:\n", + " subj_ses = sessions[subj]\n", + "\n", + " for pair in PAIRS:\n", + " needed = (pair['train'], pair['online_fes'], pair['online_nofes'])\n", + " missing = [k for k in needed if k not in subj_ses]\n", + " if missing:\n", + " print(f'[{subj}] {pair[\"name\"]}: missing {missing} — skipping')\n", + " continue\n", + "\n", + " train = subj_ses[pair['train']]\n", + " if set(np.unique(train['y'])) != {0, 1}:\n", + " print(f'[{subj}] {pair[\"name\"]}: training set lacks both classes — skipping')\n", + " continue\n", + " clf = CSPLDA(n_csp=N_CSP).fit(train['X'], train['y'])\n", + " train_acc = (clf.predict(train['X']) == train['y']).mean()\n", + "\n", + " for cond_key, cond_label in [('online_fes', 'FES'), ('online_nofes', 'NOFES')]:\n", + " te = subj_ses[pair[cond_key]]\n", + " if len(te['y']) < MIN_TEST_TRIALS or set(np.unique(te['y'])) != {0, 1}:\n", + " print(f'[{subj}] {pair[\"name\"]} / {cond_label}: only {len(te[\"y\"])} '\n", + " f'surviving epochs — dropping (likely electrode/noise issue)')\n", + " continue\n", + " res = evaluate(clf, te['X'], te['y'])\n", + " snr_s = spectral_snr(te['X'], te['y'], motor_idx_global, te['sfreq'])\n", + "\n", + " results.append(dict(\n", + " subject=subj, pair=pair['name'], condition=cond_label,\n", + " train_file=train['file'], test_file=te['file'],\n", + " train_acc=train_acc, n_test=len(te['y']),\n", + " acc=res['acc'], amp=res['amp'], fisher=res['fisher'], mu_snr=snr_s,\n", + " margin=res['margin'], y_test=res['y'], pred=res['pred'],\n", + " ))\n", + "\n", + "# Results table\n", + "hdr = f'{\"Subj\":<5} {\"Pair\":<28} {\"Cond\":<6} {\"n\":>4} {\"trainAcc\":>9} {\"acc\":>7} {\"|marg|\":>8} {\"Fisher\":>8} {\"muSNR\":>8}'\n", + "print('\\n' + hdr)\n", + "print('-' * len(hdr))\n", + "for r in results:\n", + " print(f'{r[\"subject\"]:<5} {r[\"pair\"]:<28} {r[\"condition\"]:<6} {r[\"n_test\"]:>4} '\n", + " f'{r[\"train_acc\"]:>9.3f} {r[\"acc\"]:>7.3f} {r[\"amp\"]:>8.3f} '\n", + " f'{r[\"fisher\"]:>8.3f} {r[\"mu_snr\"]:>8.3f}')" + ] }, { "cell_type": "markdown", "id": "2ab81600", "metadata": {}, - "source": "---\n## Figure 1 — Per-metric comparison (FES vs NOFES)" + "source": [ + "---\n", + "## Figure 1 — Per-metric comparison (FES vs NOFES)" + ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "id": "d53e63b9", - "metadata": {}, - "outputs": [], - "source": "METRICS = [\n ('acc', 'Classification accuracy', '0–1'),\n ('amp', 'Classification amplitude (mean |decision fn|)', 'a.u.'),\n ('fisher', 'Fisher ratio on LDA projection (test-set SNR)', 'a.u.'),\n ('mu_snr', 'μ-band power ratio REST / MI @ C3/Cz/C4', 'ratio'),\n]\n\ncond_color = {'FES': '#E05C2A', 'NOFES': '#2A7BE0'}\n\nfig, axes = plt.subplots(2, 2, figsize=(14, 9))\nfig.suptitle('Online decoding: FES vs NOFES feedback (per subject × offline-trained model)',\n fontsize=13, fontweight='bold', y=1.00)\n\nfor ax, (key, title, unit) in zip(axes.ravel(), METRICS):\n labels, vals, colors = [], [], []\n for subj in subjects:\n for pair in PAIRS:\n tag = pair['name'].split()[0] # \"Pair1\" / \"Pair2\"\n for cond in ('FES', 'NOFES'):\n row = next((r for r in results\n if r['subject']==subj and r['pair']==pair['name']\n and r['condition']==cond), None)\n if row is None: continue\n labels.append(f'{subj}\\n{tag}\\n{cond}')\n vals.append(row[key])\n colors.append(cond_color[cond])\n x = np.arange(len(vals))\n ax.bar(x, vals, color=colors, edgecolor='white', zorder=2)\n ax.set_xticks(x); ax.set_xticklabels(labels, fontsize=7.5)\n ax.set_title(f'{title} ({unit})', fontsize=11, fontweight='bold')\n ax.grid(axis='y', alpha=0.3)\n ax.spines[['top','right']].set_visible(False)\n if key == 'acc':\n ax.axhline(0.5, color='gray', linestyle='--', lw=0.8, alpha=0.6)\n\nfig.legend(handles=[Patch(color=cond_color['FES'], label='ONLINE_FES'),\n Patch(color=cond_color['NOFES'], label='ONLINE_NOFES')],\n loc='upper right', ncol=2, bbox_to_anchor=(0.98, 1.0))\nplt.tight_layout()\nplt.savefig('fes_vs_nofes_metrics.png', dpi=150, bbox_inches='tight')\nplt.show()\nprint('Saved: fes_vs_nofes_metrics.png')" + "metadata": { + "execution": { + "iopub.execute_input": "2026-04-22T00:52:03.805180Z", + "iopub.status.busy": "2026-04-22T00:52:03.805014Z", + "iopub.status.idle": "2026-04-22T00:52:04.240793Z", + "shell.execute_reply": "2026-04-22T00:52:04.240314Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "

    " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Saved: fes_vs_nofes_metrics.png\n" + ] + } + ], + "source": [ + "METRICS = [\n", + " ('acc', 'Classification accuracy', '0–1'),\n", + " ('amp', 'Classification amplitude (mean |decision fn|)', 'a.u.'),\n", + " ('fisher', 'Fisher ratio on LDA projection (test-set SNR)', 'a.u.'),\n", + " ('mu_snr', 'μ-band power ratio REST / MI @ C3/Cz/C4', 'ratio'),\n", + "]\n", + "\n", + "cond_color = {'FES': '#E05C2A', 'NOFES': '#2A7BE0'}\n", + "\n", + "fig, axes = plt.subplots(2, 2, figsize=(14, 9))\n", + "fig.suptitle('Online decoding: FES vs NOFES feedback (per subject × offline-trained model)',\n", + " fontsize=13, fontweight='bold', y=1.00)\n", + "\n", + "for ax, (key, title, unit) in zip(axes.ravel(), METRICS):\n", + " labels, vals, colors = [], [], []\n", + " for subj in subjects:\n", + " for pair in PAIRS:\n", + " tag = pair['name'].split()[0] # \"Pair1\" / \"Pair2\"\n", + " for cond in ('FES', 'NOFES'):\n", + " row = next((r for r in results\n", + " if r['subject']==subj and r['pair']==pair['name']\n", + " and r['condition']==cond), None)\n", + " if row is None: continue\n", + " labels.append(f'{subj}\\n{tag}\\n{cond}')\n", + " vals.append(row[key])\n", + " colors.append(cond_color[cond])\n", + " x = np.arange(len(vals))\n", + " ax.bar(x, vals, color=colors, edgecolor='white', zorder=2)\n", + " ax.set_xticks(x); ax.set_xticklabels(labels, fontsize=7.5)\n", + " ax.set_title(f'{title} ({unit})', fontsize=11, fontweight='bold')\n", + " ax.grid(axis='y', alpha=0.3)\n", + " ax.spines[['top','right']].set_visible(False)\n", + " if key == 'acc':\n", + " ax.axhline(0.5, color='gray', linestyle='--', lw=0.8, alpha=0.6)\n", + "\n", + "fig.legend(handles=[Patch(color=cond_color['FES'], label='ONLINE_FES'),\n", + " Patch(color=cond_color['NOFES'], label='ONLINE_NOFES')],\n", + " loc='upper right', ncol=2, bbox_to_anchor=(0.98, 1.0))\n", + "plt.tight_layout()\n", + "plt.savefig('fes_vs_nofes_metrics.png', dpi=150, bbox_inches='tight')\n", + "plt.show()\n", + "print('Saved: fes_vs_nofes_metrics.png')" + ] }, { "cell_type": "markdown", "id": "248740bd", "metadata": {}, - "source": "---\n## Figure 2 — LDA decision-function distributions\n\nVisualizes classification amplitude and separability directly: wider FES vs NOFES spread between MI and REST curves = higher Fisher ratio and larger mean |margin|." + "source": [ + "---\n", + "## Figure 2 — LDA decision-function distributions\n", + "\n", + "Visualizes classification amplitude and separability directly: wider FES vs NOFES spread between MI and REST curves = higher Fisher ratio and larger mean |margin|." + ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "id": "393042a0", - "metadata": {}, - "outputs": [], - "source": "fig, axes = plt.subplots(len(subjects), len(PAIRS),\n figsize=(6 * len(PAIRS), 3.2 * len(subjects)),\n sharex=True, squeeze=False)\nfig.suptitle('LDA decision-function distributions on ONLINE sessions\\n'\n '(class separation ↔ classification amplitude & SNR)',\n fontsize=12, fontweight='bold', y=1.01)\n\nfor i, subj in enumerate(subjects):\n for j, pair in enumerate(PAIRS):\n ax = axes[i][j]\n for cond, color in cond_color.items():\n row = next((r for r in results\n if r['subject']==subj and r['pair']==pair['name']\n and r['condition']==cond), None)\n if row is None: continue\n m_mi = row['margin'][row['y_test'] == 1]\n m_rest = row['margin'][row['y_test'] == 0]\n ax.hist(m_mi, bins=15, alpha=0.5, color=color,\n label=f'{cond} MI', density=True)\n ax.hist(m_rest, bins=15, alpha=0.25, color=color, hatch='///',\n edgecolor=color, label=f'{cond} REST', density=True)\n ax.axvline(0, color='k', lw=0.8)\n ax.set_title(f'{subj} | {pair[\"name\"]}', fontsize=10, fontweight='bold')\n if j == 0: ax.set_ylabel('Density')\n if i == len(subjects) - 1: ax.set_xlabel('LDA decision function')\n ax.spines[['top','right']].set_visible(False)\n if i == 0 and j == 0:\n ax.legend(fontsize=6.5, loc='upper left', ncol=2)\n\nplt.tight_layout()\nplt.savefig('decision_margin_distributions.png', dpi=150, bbox_inches='tight')\nplt.show()\nprint('Saved: decision_margin_distributions.png')" + "metadata": { + "execution": { + "iopub.execute_input": "2026-04-22T00:52:04.242359Z", + "iopub.status.busy": "2026-04-22T00:52:04.242277Z", + "iopub.status.idle": "2026-04-22T00:52:04.931529Z", + "shell.execute_reply": "2026-04-22T00:52:04.930993Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
    " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Saved: decision_margin_distributions.png\n" + ] + } + ], + "source": [ + "fig, axes = plt.subplots(len(subjects), len(PAIRS),\n", + " figsize=(6 * len(PAIRS), 3.2 * len(subjects)),\n", + " sharex=True, squeeze=False)\n", + "fig.suptitle('LDA decision-function distributions on ONLINE sessions\\n'\n", + " '(class separation ↔ classification amplitude & SNR)',\n", + " fontsize=12, fontweight='bold', y=1.01)\n", + "\n", + "for i, subj in enumerate(subjects):\n", + " for j, pair in enumerate(PAIRS):\n", + " ax = axes[i][j]\n", + " for cond, color in cond_color.items():\n", + " row = next((r for r in results\n", + " if r['subject']==subj and r['pair']==pair['name']\n", + " and r['condition']==cond), None)\n", + " if row is None: continue\n", + " m_mi = row['margin'][row['y_test'] == 1]\n", + " m_rest = row['margin'][row['y_test'] == 0]\n", + " ax.hist(m_mi, bins=15, alpha=0.5, color=color,\n", + " label=f'{cond} MI', density=True)\n", + " ax.hist(m_rest, bins=15, alpha=0.25, color=color, hatch='///',\n", + " edgecolor=color, label=f'{cond} REST', density=True)\n", + " ax.axvline(0, color='k', lw=0.8)\n", + " ax.set_title(f'{subj} | {pair[\"name\"]}', fontsize=10, fontweight='bold')\n", + " if j == 0: ax.set_ylabel('Density')\n", + " if i == len(subjects) - 1: ax.set_xlabel('LDA decision function')\n", + " ax.spines[['top','right']].set_visible(False)\n", + " if i == 0 and j == 0:\n", + " ax.legend(fontsize=6.5, loc='upper left', ncol=2)\n", + "\n", + "plt.tight_layout()\n", + "plt.savefig('decision_margin_distributions.png', dpi=150, bbox_inches='tight')\n", + "plt.show()\n", + "print('Saved: decision_margin_distributions.png')" + ] }, { "cell_type": "markdown", "id": "fcb6d19d", "metadata": {}, - "source": "---\n## Figure 3 — Paired Δ (FES − NOFES) per metric\n\nWithin each (subject × pair), FES and NOFES sessions use the same offline-trained model. Positive bars mean FES > NOFES; negative means NOFES > FES. This removes the offline-model-quality confound and isolates the effect of feedback type." + "source": [ + "---\n", + "## Figure 3 — Paired Δ (FES − NOFES) per metric\n", + "\n", + "Within each (subject × pair), FES and NOFES sessions use the same offline-trained model. Positive bars mean FES > NOFES; negative means NOFES > FES. This removes the offline-model-quality confound and isolates the effect of feedback type." + ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "id": "75df404b", - "metadata": {}, - "outputs": [], - "source": "fig, axes = plt.subplots(1, 4, figsize=(16, 4.5))\nfig.suptitle('Within-pair Δ = FES − NOFES (positive → FES better)',\n fontsize=12, fontweight='bold', y=1.03)\n\nfor ax, (key, title, _) in zip(axes, METRICS):\n labels, deltas = [], []\n for subj in subjects:\n for pair in PAIRS:\n fes = next((r for r in results if r['subject']==subj and r['pair']==pair['name']\n and r['condition']=='FES'), None)\n nof = next((r for r in results if r['subject']==subj and r['pair']==pair['name']\n and r['condition']=='NOFES'), None)\n if fes is None or nof is None: continue\n deltas.append(fes[key] - nof[key])\n labels.append(f'{subj}\\n{pair[\"name\"].split()[0]}')\n\n colors = ['#E05C2A' if d > 0 else '#2A7BE0' for d in deltas]\n ax.bar(np.arange(len(deltas)), deltas, color=colors, edgecolor='white', zorder=2)\n ax.axhline(0, color='k', lw=0.8)\n ax.set_xticks(np.arange(len(deltas)))\n ax.set_xticklabels(labels, fontsize=8)\n ax.set_title(f'Δ {title.split(\"(\")[0].strip()}', fontsize=10, fontweight='bold')\n ax.grid(axis='y', alpha=0.3)\n ax.spines[['top','right']].set_visible(False)\n\nplt.tight_layout()\nplt.savefig('fes_minus_nofes_delta.png', dpi=150, bbox_inches='tight')\nplt.show()\nprint('Saved: fes_minus_nofes_delta.png')" + "metadata": { + "execution": { + "iopub.execute_input": "2026-04-22T00:52:04.933405Z", + "iopub.status.busy": "2026-04-22T00:52:04.933304Z", + "iopub.status.idle": "2026-04-22T00:52:05.178252Z", + "shell.execute_reply": "2026-04-22T00:52:05.177815Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
    " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Saved: fes_minus_nofes_delta.png\n" + ] + } + ], + "source": [ + "fig, axes = plt.subplots(1, 4, figsize=(16, 4.5))\n", + "fig.suptitle('Within-pair Δ = FES − NOFES (positive → FES better)',\n", + " fontsize=12, fontweight='bold', y=1.03)\n", + "\n", + "for ax, (key, title, _) in zip(axes, METRICS):\n", + " labels, deltas = [], []\n", + " for subj in subjects:\n", + " for pair in PAIRS:\n", + " fes = next((r for r in results if r['subject']==subj and r['pair']==pair['name']\n", + " and r['condition']=='FES'), None)\n", + " nof = next((r for r in results if r['subject']==subj and r['pair']==pair['name']\n", + " and r['condition']=='NOFES'), None)\n", + " if fes is None or nof is None: continue\n", + " deltas.append(fes[key] - nof[key])\n", + " labels.append(f'{subj}\\n{pair[\"name\"].split()[0]}')\n", + "\n", + " colors = ['#E05C2A' if d > 0 else '#2A7BE0' for d in deltas]\n", + " ax.bar(np.arange(len(deltas)), deltas, color=colors, edgecolor='white', zorder=2)\n", + " ax.axhline(0, color='k', lw=0.8)\n", + " ax.set_xticks(np.arange(len(deltas)))\n", + " ax.set_xticklabels(labels, fontsize=8)\n", + " ax.set_title(f'Δ {title.split(\"(\")[0].strip()}', fontsize=10, fontweight='bold')\n", + " ax.grid(axis='y', alpha=0.3)\n", + " ax.spines[['top','right']].set_visible(False)\n", + "\n", + "plt.tight_layout()\n", + "plt.savefig('fes_minus_nofes_delta.png', dpi=150, bbox_inches='tight')\n", + "plt.show()\n", + "print('Saved: fes_minus_nofes_delta.png')" + ] }, { "cell_type": "markdown", @@ -153,11 +953,71 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "id": "cf55268e", - "metadata": {}, - "outputs": [], - "source": "agg = {c: {k: [] for k in ('acc','amp','fisher','mu_snr')} for c in ('FES','NOFES')}\nfor r in results:\n for k in agg[r['condition']]:\n agg[r['condition']][k].append(r[k])\n\nn_pairs = len(agg['FES']['acc'])\nprint(f'=== Aggregate across {n_pairs} (subject × pair) comparisons ===\\n')\n\nhdr = f'{\"Metric\":<28} {\"FES (mean ± sd)\":>22} {\"NOFES (mean ± sd)\":>22} {\"paired Δ\":>12}'\nprint(hdr); print('-' * len(hdr))\nfor k, label in [('acc', 'Classification accuracy'),\n ('amp', 'Classification amplitude'),\n ('fisher', 'Fisher ratio (test SNR)'),\n ('mu_snr', 'μ-band SNR (REST/MI)')]:\n fes, nof = np.array(agg['FES'][k]), np.array(agg['NOFES'][k])\n delta = fes - nof\n print(f'{label:<28} {fes.mean():>10.3f} ± {fes.std(ddof=1):>6.3f} '\n f'{nof.mean():>10.3f} ± {nof.std(ddof=1):>6.3f} {delta.mean():>+12.3f}')\n\n# Sign test (simple)\nprint()\nfor k, label in [('acc','acc'), ('amp','|margin|'), ('fisher','Fisher'), ('mu_snr','μ-SNR')]:\n d = np.array(agg['FES'][k]) - np.array(agg['NOFES'][k])\n n_pos = int((d > 0).sum()); n_neg = int((d < 0).sum())\n print(f' {label:<10} FES > NOFES in {n_pos}/{len(d)} comparisons (NOFES > FES in {n_neg})')" + "metadata": { + "execution": { + "iopub.execute_input": "2026-04-22T00:52:05.179587Z", + "iopub.status.busy": "2026-04-22T00:52:05.179489Z", + "iopub.status.idle": "2026-04-22T00:52:05.183657Z", + "shell.execute_reply": "2026-04-22T00:52:05.183209Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "=== Aggregate across 5 complete (subject × pair) comparisons ===\n", + "\n", + "Metric FES (mean ± sd) NOFES (mean ± sd) paired Δ\n", + "---------------------------------------------------------------------------------------\n", + "Classification accuracy 0.673 ± 0.197 0.817 ± 0.142 -0.144\n", + "Classification amplitude 3.161 ± 2.131 2.923 ± 1.879 +0.237\n", + "Fisher ratio (test SNR) 3.000 ± 3.129 3.405 ± 3.558 -0.405\n", + "μ-band SNR (REST/MI) 1.964 ± 0.779 1.840 ± 0.552 +0.124\n", + "\n", + " acc FES > NOFES in 1/5 comparisons (NOFES > FES in 4)\n", + " |margin| FES > NOFES in 3/5 comparisons (NOFES > FES in 2)\n", + " Fisher FES > NOFES in 1/5 comparisons (NOFES > FES in 4)\n", + " μ-SNR FES > NOFES in 3/5 comparisons (NOFES > FES in 2)\n" + ] + } + ], + "source": [ + "# Build only pairs where BOTH FES and NOFES survived evaluation\n", + "paired = []\n", + "for subj in subjects:\n", + " for pair in PAIRS:\n", + " fes = next((r for r in results if r['subject']==subj and r['pair']==pair['name']\n", + " and r['condition']=='FES'), None)\n", + " nof = next((r for r in results if r['subject']==subj and r['pair']==pair['name']\n", + " and r['condition']=='NOFES'), None)\n", + " if fes and nof:\n", + " paired.append((fes, nof))\n", + "\n", + "print(f'=== Aggregate across {len(paired)} complete (subject × pair) comparisons ===\\n')\n", + "\n", + "hdr = f'{\"Metric\":<28} {\"FES (mean ± sd)\":>22} {\"NOFES (mean ± sd)\":>22} {\"paired Δ\":>12}'\n", + "print(hdr); print('-' * len(hdr))\n", + "for k, label in [('acc', 'Classification accuracy'),\n", + " ('amp', 'Classification amplitude'),\n", + " ('fisher', 'Fisher ratio (test SNR)'),\n", + " ('mu_snr', 'μ-band SNR (REST/MI)')]:\n", + " fes_v = np.array([f[k] for f,_ in paired])\n", + " nof_v = np.array([n[k] for _,n in paired])\n", + " delta = fes_v - nof_v\n", + " sd = lambda a: a.std(ddof=1) if len(a) > 1 else 0.0\n", + " print(f'{label:<28} {fes_v.mean():>10.3f} ± {sd(fes_v):>6.3f} '\n", + " f'{nof_v.mean():>10.3f} ± {sd(nof_v):>6.3f} {delta.mean():>+12.3f}')\n", + "\n", + "# Sign test (simple)\n", + "print()\n", + "for k, label in [('acc','acc'), ('amp','|margin|'), ('fisher','Fisher'), ('mu_snr','μ-SNR')]:\n", + " d = np.array([f[k] - n[k] for f,n in paired])\n", + " n_pos = int((d > 0).sum()); n_neg = int((d < 0).sum())\n", + " print(f' {label:<10} FES > NOFES in {n_pos}/{len(d)} comparisons (NOFES > FES in {n_neg})')" + ] } ], "metadata": { @@ -181,4 +1041,4 @@ }, "nbformat": 4, "nbformat_minor": 5 -} \ No newline at end of file +}