From 21b9aea668beaea56693740a3c3094df06b61798 Mon Sep 17 00:00:00 2001 From: Vikesh Date: Wed, 11 Aug 2021 23:58:11 +0200 Subject: [PATCH] inference pipelines using clarify (#2866) * inference pipelines using clarify * fxed readme * formatting issues fixed * formatting issues fixed, fixed notebook hanging issue * grammer issues fixed * review comments incorporated * code formatting issues fixed --- .../README.md | 25 + .../clarify_inf_pipeline_arch.png | Bin 0 -> 104517 bytes ...k_explainability_inference_pipelines.ipynb | 1484 +++++++++++++++++ .../credit_risk_prediction.png | Bin 0 -> 344622 bytes .../data/codetable.txt | 133 ++ .../inference/sklearn/inference.py | 69 + .../inference/xgboost/inference.py | 26 + .../processing/preprocessor.py | 123 ++ .../training/train_xgboost.py | 86 + 9 files changed, 1946 insertions(+) create mode 100644 sagemaker-clarify/clarify-explainability-inference-pipelines/README.md create mode 100644 sagemaker-clarify/clarify-explainability-inference-pipelines/clarify_inf_pipeline_arch.png create mode 100644 sagemaker-clarify/clarify-explainability-inference-pipelines/credit_risk_explainability_inference_pipelines.ipynb create mode 100644 sagemaker-clarify/clarify-explainability-inference-pipelines/credit_risk_prediction.png create mode 100644 sagemaker-clarify/clarify-explainability-inference-pipelines/data/codetable.txt create mode 100644 sagemaker-clarify/clarify-explainability-inference-pipelines/inference/sklearn/inference.py create mode 100644 sagemaker-clarify/clarify-explainability-inference-pipelines/inference/xgboost/inference.py create mode 100644 sagemaker-clarify/clarify-explainability-inference-pipelines/processing/preprocessor.py create mode 100644 sagemaker-clarify/clarify-explainability-inference-pipelines/training/train_xgboost.py diff --git a/sagemaker-clarify/clarify-explainability-inference-pipelines/README.md b/sagemaker-clarify/clarify-explainability-inference-pipelines/README.md new file mode 100644 index 0000000000..677cb46881 --- /dev/null +++ b/sagemaker-clarify/clarify-explainability-inference-pipelines/README.md @@ -0,0 +1,25 @@ +## Credit risk prediction and explainability with Amazon SageMaker + +This example shows how to user SageMaker Clarify to run explainability jobs on a SageMaker hosted inference pipeline. + +Below is the architecture diagram used in the solution: + +![alt text](clarify_inf_pipeline_arch.png) + + +The notebook performs the following steps: + +1. Prepare raw training and test data +2. Create a SageMaker Processing job which performs preprocessing on the raw training data and also produces an SKlearn model which is reused for deployment. +3. Train an XGBoost model on the processed data using SageMaker's built-in XGBoost container +4. Create a SageMaker Inference pipeline containing the SKlearn and XGBoost model in a series +5. Perform inference by supplying raw test data +6. Set up and run explainability job powered by SageMaker Clarify +7. Use open source shap library to create summary and waterfall plots to understand the feature importance better +8. Run bias analysis jobs +9. Clean up + + +The attached notebook can be run in Amazon SageMaker Studio. + + diff --git a/sagemaker-clarify/clarify-explainability-inference-pipelines/clarify_inf_pipeline_arch.png b/sagemaker-clarify/clarify-explainability-inference-pipelines/clarify_inf_pipeline_arch.png new file mode 100644 index 0000000000000000000000000000000000000000..7e0e19672e2d4ac72582eb4fdd28e3a713a6cb7a GIT binary patch literal 104517 zcmZ^~c_5Vk*FPMoq{LVv$}-j{%-9JTGh@bXX6);XeP`_Z&e*bs%ATDN2?-@4%9bTW zA7x*&?|LqM?(cp7p8NMaf0()Ey584&Ip@4z=k-44h|$terlw+{x^UqFH5vuST)1!% zeBlClI^|{HPCfp9%!Lb7`W^^<4<{dMJ4dSvJfcefUhzOhY+c+vctqhmP$}|g+wKQ+x)61oVpqhR0+6tv~#cmzLc#j99+&{u_WTXh3s5_<`6L<2_c9m za8JpW=;8#lLP|*si3o{_0$&iQ6!74G)`x^Zfk%?SJuKcDPqh0#hC5%nl?UGD-(~w* zX}Id>p;6+_2m;E$#Sm=+!Tq~jFDs(E9U!Z}lKbz$&)@d&b+!8UwxyMqodqxxD32%t z5V@rt-iC;G0-D(UmsGX%JUmb^Zwb7jBSb>oN5TrFX8UjV&Uj!6fBV(~1bZLyZzqzv zK8AqsU}!OfmKa1!QOwa7V+s6*tH2x#?eVTyC#aL96W-dxMq3YKt6{H0P(h>Bq=6PH zSU-DhF}yZRPt8CRsjccJs%s$WsYN6>I5`=3L!5jeo|@v)8j?s?B^MhJC2vWjJsj?U z*4A?+Na?s@bzPlptgvmWhgSvr)rv=o_+FeA)0s+@?b5PZj^20#vEkv9U4qkQyB{dY*+g)4D8;fyOb;4ta zt~xkzHxFx1U=)~yl$wQ`r3%zt6X~s|DrQAA@N|M%z+LQZoM9R`n6#pwz6(*`PutZ% z+x=V*_MQd~Ru1~&b_k57w41HHHP%7YR^7=^N<-h>R>~QHA&7Y5ytRm0I$ok`I5iAb z+si`*XNAV04Dcc<4sd-%Ln|9AUn@&dh@G>hl&U?}K;6ep%@q#!weeL$!))Dr^_8I> z%5G8?N=ointhcqgIKj#gsxPIFH!#rl^RvZEs9U>ih;pR$d%E5a3q@N!ed01v!;9FeXr z5O;f+v%VxsSx>@&Xk%dG>!T{EVM%oJvv*cTTI<@LD*%tz_Rxo0dm}A@jjM^(#u|DP zeY7NrjyCSThVJU_&IVQ}jdSzXLBg#83q#sDib>kpVLVg}y)YyLyR@nMq2}^sz+2-*4CDQ+F4-@Fiz^g69*)qX_&aSiX{P~rJ|1Z z)5E(tszW7ks=oGC24do3P**QK4RwO9vzwQ$p^b;FnyS4w)<8-}1ppP80Rds)j<)yF zumCU;3L`jT#5^TXC`BtBM@?4?3uRqHeK({hR?We}4zA*eB_fq{>~*Z{@oIKfDq<)X zte2~u72MqpgK<;w1cZpx!)VzUsu5vgQa(x$X@ZnDOx4ZSN6H6nY3J_af<NrW9r z53eQeLDaJCKhKlRhX`^9qRWCdmCF+G%7R6!Db)e?v?5*lz zPt?%%6_a++MY*9Zm7Trx)d)lbHBX`e3Z-F%(z29Bd3fMNTs*Yhp}xRNT24x;A}Bj; zeP4YKz{$X%el`$kNoQAe4`~luhw}y^ItVFco^SJrcqz}Xn$ z{nPm-X=$%*Cy65X!W}GZM1aX6MfC}WzTOyug)PL@4yljS(X=@i9tHp- zN4Srky`re5mo)NxS!inwHy^0G2JqBHOT%4LTH4(TCW4X@gXnq~AQ8$Ub|N-9=bBM< zghP=8m@NXKr0?u(>F5iQ_Hq_Q!d1i^#PyL_Jv<5zw32WWaS?;sqKFoLNWgW&yd1Su zR1HxuNep0DA_yx>EEeJ9;R@&*>FEvA#{;e&3bRH@+9`QCdFt!yLGYUAxa_CvX^#~H zE*!Kx+*L%+8`pknjUarXzA|bp{#GCZ=fck;q2$^rROTDe>KdN}^5%wgABa=HP7L3UD4I#8ykf%KaRtyq)}%P-^;q z;xMAB6VcCF3a#k{5s`pNJ6IvG2sL$S0Mw8eTSGB10F|YkR0*Cwx>yefJuSGEosWbE zl3;nhD!7ve6k%)cZf~ux?5Ab#?1WOb2DFN{KHr0OUb?<8F$uT_)Xz{<1F0q|;)2q} z>A2XbN<+Q^#0#J=z>ohh zn7?!e`2AlbQWTNvOMC6Y1&#}7xFXKSbk*dFK2CWoD0L%|QLOXww}ddp#{~qkYkRRR z;Vt{l1XZ=wmN1i-f_qVy1Tl=wAE#@S$sAe(&ibEB`Fn@H7@nH@ynW!fKK(@0X8MWh zdh>>~=#PNYqg}y95%Ty8T<<9VewqKIJophW;zpxB*79giqj=@Ee>xs?5EX-p%JyfI z`tN4Cl(e96A5l89{3GgJ)_@OVe!myZ%|L4K&-P_D%r;L*mYHSqq0s;IJf9HqC&AUR z@m8oy>)~aFf%mylGXtNduim+n^~HZ{+&>N;5<^002-3uY%qf`3kRhO&2NV+DDWfU- z!HTo2ze_@;l30dfVn}mxv^Pb-yx^N6F%Kw!W`A3AaB%3>+mC$(7yQ39+-tT(`lv-|}$cOD?bdqt=S0b%E zg_cr48P^lXJ3!`O!cY2+b;y6#5FbKL1_rNGN4hzalBJ>9s!bxGndolr^M)y3+co~D z;X@e3sL8cUkv48bQs^g6l{FHq?oAqT?ouaZ=52B{xSF%dH_rb|J_IxnaRHRPI|kE< zB@tIlefKMIZ~8Lit~|IV{m=U3nAGvkBkfb0KSK0xV`afE5)S!`5B%9JaQ+kJQcb^B zjC&r(P%2<}V=mBxQnPM){kH(kDd_Hk^_1YY={Rl^4)JO<`nSLgWyJ#)BdtB}n#3?MaG4V+ zML>|IyZGq88u}~xhxFt?Yx6Z741AdG>zqkl;Zz-FzRuWLHlA2^5u+sb_)dcml_&3B z?*jbnoBrH8)PjubXN!`TYuOFL5Uw5O^|$_IDm9u#Zd&BQV?$MH@PlM1nj({wIs2*x z`#*M>L>pSK2YYAES^F_`rnT+*%l&{BIN29sXgY(}O^ z9nV$;q{t>GkugqbH`K6b`))GZu>Byb&tOQ~{}XT-lpvnb-?iOfI+L1};$Do&Y`xRzy z3ZM=j99kJs(ShQD&IfICm-njmFLt)}XLsv?h2pq0!7}UF$UmgTo$7zsG(DRRenN_K z6~Y$S38`{95k5)apC;*m&FB_K1MB?yjDC;wKkF3ZcnFW^4&`9)`FhQ2D>=fU;v5m!~AV*O|9 z)}#xPYJ`vHBj4eM$!jWlP*8yy9T_i}SNi@c!+&7p9VIv1{7aE}WfM^z5mJ`k#(Y`I z*H#U=|4nMFRDOQUj=Jl?A!zp}=^!wQ{&rQVTnV;KT$jPDM zcg<>6J{c7$;MdEfJHe@!I?K-k zOm&z?^P9(L_vcb8<9!bL#e2@k`z4^DTMUij=(D*m&IxYLyODRwZolzoyv7yw`>dDg z`3agt1G>Y`3od&tH10YCAV7-8Y9r78F&-y*#q++HS(i(vTFJCZ)hkSb385O|bCw=5 z#=raBqun+Sl@8L}Q*|!xQ`aTbD*UKR;E*UZzkcKUQ_DZLIB_b5F8v0-S{b_iInm-v z?Cnd+4UZQdmA<}$%~C4(Gtq2p1(E;%H5povLEw^c3JsNkRzo(&^|aoXyM7cXd@>P& zf+U%aI?#f&=d+l%?vC?-p^M$~+{b)(P_QP!sh*}!RO-aFp~isQPe{Klto+Wmdy6za z@$YsYhyK1-oO*GOb{7Vrdd4*68 zBL(cGT{>aK^s#IHA3yEWJt)Y)cT?@{ULi9|cx7bli&)QD!BOEWh6|u5vS>#BljkY54~43J*|_c@bj6Rqd`@-6`&Y|!;l1~wZye7%Xe=^v&M zhs3Qzs*p5Bu=p|!ZA+;tyl`UTR;``94;WD&h zw#mM2?n%D^|DfP=OjVpC#}TY~mSjc;LN8z3_@&P{^@POS{Jk-Vh2tHZoBH9r&|d|i z>?la2B!Pl%>}h#CTCbM2bu?DlU6~hrx8>&7AvRF54pSem^c4&3@EfHM;j=#tD&M;D z=G^hq&cKD2J6Ln~fTUMmaDXq~aBh!WNc=gKv1-ZzCb~X1{c~BbJY1qE>tW0yR&zr+ z0md`%&jPev{!W;!#bZ&n%BYFQL^Zk~uZoB8LPJ9h#{Eu8<_G{m=&Z1iwVXI zl#Z8WR?`Z6W1w{mnv48OSCOI6e;A(}gPN_ovbnD6g}%EKoWuZ{I#a7&i(I}Gcg-qt zd5mBG_E&p!VEMsbdfEEiGhrZMN-KTd+?=-+*rn}1UwUO{h zP>T=k)lC98B}@?Fqz;IIIP+>k`p%Dk1Y21GS_-w5FM*m|FAIV-1&Kn}9fPZ$g^_j? z789=xCgP;I4`O+!8NFgec4Ysl9?SJAGJ!N=obbZXBTmOkcPhpRhLrnyA1t*5Cm3+! zQyVU6ZNwYYtp&=F%WCi;uQH;`WiWvJ5AzyX{!Xko;$2@{D`jINIEc2{b)Y-%@Vagr z;*jmPz>nUv;*>xLKtpK2g#s}=oFK?YHP`)@RAAyev!pA#;BiK{Wm}tRo$iy`kO{3S zlHaXBk1HB-jXc34&kMpHGTZAJbyH+ro>(%1!8@7)Lqd*Grov9&(frp_?pRFZZa_3Vl;B*@r?9%kO>EX; z>nm+OT#YtAIB?%dq+4M{&0wGuF5So^5L)84QS)b%XE0|KT~valz66R1BDEe%cAwso zG5w?f<^%{45pCmBl1Z{W;CXie*!UsR;2I?`*lsZ(pIw#1h*xm7wie+m_{>Kxqt-2@ z+Uz6pm(};LKKs=QakOJ&xrpNYu9)V6n#y!WK*KBC+|S+HNLVOHJDaacq;%trTMUsI z(@77%;M@}Q$oG9HNsEpuaBVW(t+PfTr+^*I0*4PD8%;Ed^2f)frL-Q8vd$*T2QLND zl(2+7> zU^6w+d};6gL32mMkY=_m z?ZsnA0}2+Sav%!7tJStx{z2EhsW;rKgP~#N?r7Xf-*eK%DBY@ytScLHud}@lW~wEH ze~y@q7RGUa;mjxPnlTS()c4{ypG{!@h(0j-6i83@^!6*ginfW>uLn;^nG^Qb!5uUg z%tpi?evJ6n;lH~_`;D#181(cp`CZO&sL_X}Bw3X?cNm(L?>XuUC?>;gFh+!HE`k&f z;W<&HtwJb=pnAe3d!!B-m~)Tb3lx%Gm4BOLZfLB!%J~m#5GJ40J*a9gD@LiHGgcUI z-E$jm;jipV5e!H@u%Te!>n9U=R8secdDZ-|B-EPfNhXuh)N=bLU4$u#;kO%_Wl`Nu_=F1NPkdLS~(TG)S7C7S95g{pqnVFT_W=9M&!a) zGZHV4^C1c|>YA^9;cjlHy z#9@Qix_TS=kozUnOc*7Arp|=vy-|aA2%i*A(|?@IsNn97@|?d{z_W%FKVHSJwlVUg z#om5WS5Q(XJMq}_@q5yvz-vE#W5WVUQ!^I7d1tz>i-fID4f_)OXmrEFu=>ywJ;Hc$2WmLPM2EXU)l?;bJ?~2bs(i=B%85k`!hS#)HZp1;;Ecj^M z=D3fg$T3?>Ah+&dxUe8eSj-fovNQhGJ2!^pt3cO^SA;bUc&c=L)NRoM>&g4(Jrj;L zmrf4t&!ww>o>YMrf0keHbc<7*d+Q%oHg3}$YS|(cD#KE)haNlaGz3Hs; zV^v>WSF0#_{KF_ji0S7B#68JnV=}+1F8UJkWSmx2jaAWe2k#@YD_+m@Bi@z<2RBlf(}3ZO%Mwwr}o(CZIu;DK_fKcO$JMSU1v zX1r`YT)wqBLWvn@Va*I6&=BNk<`t#9Wvf&k*6gIRVYVGj8GcRX_`j?$Wp#t9`VLWhR$J=+6H8ZFlbPh%{#nEOKj*wlpQ9`-58mJR(;up zNRNt>d|*aY4x{?~_bM6$1;I;gVdLQu012ECe}5hw2)PA*2)8uqfVMPWVf-`~ay21v zPUIeyyWwpy#Z}$Mbj?T1&DXRrD`T%*qN;R|q_yxeim8ck9!2`yM+*30ILuJit@h0= zA>SD&D0vRg$3PWUh${_D0sovdM#H^c+!S8G$bm0;1RIpj@3k1q4H%WNNZrpV9Bfq* zV#U1@j8NBRs499eXwqMzGynP9@M~em7j0J}wbdWo3@N_BI57RPmO1q}RspncpzaG9 zsNyjB6376z9Ak+D7hGZj8vr}TbHwQN4`9dm2l;xO@0ff_M`|91Zk$$`vLzr z>M=7|iy!YO;(sKqaqfBF5!h0aKxTJUe!ViIJxu1#@_KA3QNCHoD^l@HYw6a*!j)EC zW0K|I0T8Y!jygY}J_GGV|HZhAv>f1C9bI_g#nGZ|8iuhn8%X)IG2V$fIZ1Ws)90rv z6%2G=TQsG)MU9+6vMw#8z}T~AEVt@ewOLE#)!^6l&58}J47#u0qmkphSxRV8xo7OQ zmeNL2gZr%-Qy+gn?6}tW%Ks)0Nt5#W!-KEKF%zi-j+RP#5ZX33<#TYwuS;NA%((k$ z7{|?*1ii|RGt}7^r|*hcS7CD8LW0F^7NQ54Dst%J7p%zdBn#F`HlT=#OL}$z#)}^-?U4rjLTT4d}VB(IMtJc z;9Y0}4sJW_r00KhhCF?`%bKx9nOn})nOP;D@UBB{DuIP2(h36bvCt>BkBb%(<1&Jr znvg=5Vte3l7VZmRiyo?pJjC4na6mAP9^ue#CoP}4i9;;yeZgZNWa;|Ec7?u{+!p< z)1sPtU`bd79W*wgD`9c6{L_;5I|X!8OtzWjgJaICJ~NwFrGhLPw1u$xy0Ut@ z@Obhs5dy+j<*6`NUNL5zAm%dM!4&w!4c>AUPR(oq9AY6>XYMu~Msw6mDsDH~Mtfxe z!~APnKZ~F-XZQKX!QAf~39q?-RT%9vM1+z^{Ss~5TwcD5>;?BhRXp#z^5kW%#5+?lFx{ zHs1Rwisu}OqU_3vTS=BIxfA5@8iPBu(({H0S)4d53}wWi1gd(6CDh>&rUUia88e1? znQCwnZG^&`jK#N!?x%bms)Uk(7fXD5Wg1dldIO&p+s0fNg^eA?Mkqg1POw+!%yvDM zXt4zUY#Gt32%b1eZ~Zaoo1~>na=j<*jZ5O8dS5_X-4h@DlbR{n-s&C-<{*bhqVyJ@ z%Nic@SVhL5?5j0i=Q02%Snf;W&VTLop$u2eU5~5$VrVmh&%XWh!H$>Dzb(HWdvioQ zZEw1*HJN{_=bQ93^1KRu${uR%Ip0<6+jw7r$(UohaDQQX!Mh0JWO(1H)_!$mHn=Su zN24C0G<5~czOa#ENY9HRSw_QNT^>18$E`IM2>g`qVtLFpG+IP6(Y&X+F#c;jHTK<4 zcjcF22c@;XKiA5P7w6up3%mWWsbFtso6=rU(GIph9ktb+xZ34n_F;$Kf0KLOC3~+_ zelA%n=JW*gV)VY&Ywg{(;`^ZF0?Ob3rfH*q`iZX%a=L4|s`#L~KA9QLFj!B55}Q$_ z^K%Zcyip)%kL2}b=xw(C4*}1C9|?@fg;lc78RtDxt&X-AqP(;P>U*(yfQ#aNX zfWnqg?LHnegVXiG^vSQD4&xSWHk%&iGm!2-v#YSH-&Gs~KsOXc#<+36S4Vikes_%+ zL^GMC0AA%xW*FIi{)ug>M62pdM=nx^bF%0KapcJCYgGf~^MdS(QZuKsTSM&0$&mV| zlv_&8)-MvJxSo~?vcO5?Rq(txtazj*9PSZclKYI0J{hN<=mCzC*bNIbtzZY~PQI5_D&B88=mBQoCzsJ8F_2N&NRODwyxZjm8ONu2p z<|hebbW4-oz*IiAWJq>+XXHjL9p~$}Dzpxg;{*(`v-RZ`?)(%s?w2HB`kAL$=&jk#S}>*PINlsIse2(CICJQ|2D|4zSh&){WU zulct*;FOqL1&6;nuvzufsn*;(ZuTwky;TDL%9*IsyFHN0kX)Wq3{6ofyu~(yc1*Pjd)3yzg>PSU9%_D)%wf&D5CgRPSJmllLzueSMT20_|-c-xYi# zqo=eD?fY#gO9RQ3x33I#n!P@Q9Q#uE>N_Z`JES~k@uxBM=##owe>nV&W5Lua&L&*N zCZc$luT1`zy?A6G+sH?HKsgDiD9Xd0NRWs)uoW{W;%gNCM!1+mLg4W0r9djKiewKr zF3pzCn0*u(Lz3>7uUY&I((*~Knl1IbbJTNnT5Mt<+FNA(-A#n4a#&&cd{H(e&(I{_ zT8lHKZgCZquveX!Q^pPM?Ko9ndHr}2T`EB8#$=z}dOV!=&J2jE40aZ=T*kc+)Z|`U z9tjvR2I3Q?^=251ZPx#{NBgbNCN(Hc^|bG<{+v79F5Ht8;_;MdP8`uQ*=l`WCFdEQWzaEW;$ow(fj5_ ziur)~XjJx1IM@8wD`}q{qF>fOYp*wl_-3V9K%yvnCnZ_dRN=En+a>%@^y*)T)z=-L zDJOqbgcsJesgw=R=gR*PpK{Utc=gw^7`?2YcK%6n{Y=SAq1Chl7Yuj(uJU5v9Y_chKMq#r1~QCSJy-yz6q@mk=t0g*=}OGMo~A_T$o5 z!zvJ4!uU)=Z{mkEtW9HZ8vD>oVz7G_aqmgrBk4f>q^mkqQ3R!n>SNNiTHQLH9-d{K zE@P^Ay~3p7yV}T)+e^)D5Whdxn{qEb)c5#lxE)D^28lAQ=CUrYnQt#DI2fZ))Z>e_ zZe@yRcUNuq&EA-m{nO8E)NJrzi{4fG_O<@o?^C_2>mQj-$wyjKSDGe{(f;q`*+Ak2 z5a`eLPH)AT{!V^QaGpk)HCQ|FpO5L_*HcMeQKP--pIEX5_LY*q^K72E$N!F_8=`h{ zv2Bszd1hfdRYsmA(JR2Uj;$R0wW$9jhIBS!^+x<$P5D63d$WiBbG=C_22zTYd&R#( z=VD$6PI@7p&*wQ&VeqSiZkACI z{y`2;55Y}!uK0S7i0IZ6%0$RsOawr6raZHgvbBb5~&&+`xtmQfctqs<6Qd7>h$d5UlXJEFzn&ca(VkEY**L5?M2Iy{^rNnNi# zu032Ugsl}{UT;tJcKIo;ih`&7%q^Cn3*{IR6BoH4D~uM%bCc83AI)RgO>pR_zZEKW zo>yQA`E2rUUSSBxUvJWwR+3`r5MZX5>KJY{+c#R@f157FEI>3pM#pS~XHLVFs$;78 zak1?srS}x1?=*u)S!Q$dPpPXV89i0RnNH&;=3j7QkGiUz+bkZRslhRRkm7tfFt`>B z?%UMrtJ=DKCvfa6`wHb;m}Am?_1(LL4(7W@zr9{?{wTTAh}@VWC0%J?)HDh^<8Cg* zc^J3x51vNsQn&DK0g2Aq3YUP1^;BwJuwA286ZS}0`9HM)fZ;VZB z{T8`}s9@2_N=A4zsk{4yiB2lsCzeu1hZA8LvZTiCPhcPqBW20lYfqWYa8BkTeA@*; zIx^@cHyjL(&7wv4R}-raikz>}-pYrmbUaN;%?w`7>pMG<-DmPrV*ifp+Km%GO8s-p ze(62H4s0F-?IR;1E=|9!{Jc4^s*rr;NZCua(yWj}5gD&nu26HC9`yVsi=Kw)d6fRv z@ORK(*AT@e;=kv(vpjNbbTn3pfASx)JIbC79smY{^UvTji<2=W`!0_dnVh683Br6<}z)a`~UBE*ih%)KxmX zZJRT`;OJ7&!Bv01__V8!hP#Hj$n+WM3P;Y&_b)?1gO+0h?m?I7^W9vMKGuDjf{-5p zDl1^;s`?v9dH9qoN!&sAmF+cZ+zc6FCK?q;E>qLjUFtA31oG=hNl6Xb&$71ULGhBI5IB zk}d^7r$?na6*qY`bK*}9xA~TnyTi4hbXnE-#odoW7ZH73VX4s!0?|*iZyVJ89L|gJ zIoYEQl6{K>MOm3Eq?q(bH=P-mT?o3E)%GWYS!oW|sa;kB9*an$-3on8TYSW5{b+Ea z{~s1=k?xk(-$ftZL|#5l9dH2~!0rF<@Wh4fh5oKgh{f-=Kc|`}hB6+D13nQE-4PrN zJ!{oF*{UKHQ+{c^8(>s>p~>lP&WF7I9M1ji*%|~>Lud@;r)_V|hp~Ohf@GJEH}q@h z_{HLS`bhO)1>QYu{QEVY;D1p`xzcxg{##pc8^_G)@qU+Z+ez44-|e0o{WLO^ktvFI zVMBW^L(qZXmQVgQDWuySZ}TqpM3wIqId1(j+@XKI=CZ}cAY5j`+79QRs5S`cLBxi4 zUwizqx8&MZf!%{}ITkANd|OF{Y}q=f9c37K!gj@3RN(M%C*fYFNz_%rs>4 zlYFE-5qqD@wdxxCAz|@JDqE{}cm@Pxi#HojjjyCWtw_6V-@Mb2ThPM!E8}FtxJcm* zPUr0fB1Dd&%CsdmmQnC$Z-#JpmbB>E;R5@07BLhpogW+N0l+%$;Yu5$33nEoriVRi zw0KFMKhwzMHMGk64*~hcj-VrwLm>%;SmK|H9uP7v4AE+POvR*Z5=|`79sG2${*g_M zzY=Xs5{Z<5#@!L!UK`~jCf0J*CK37oh-pAi=*%wwr8MCo(a~2lavs=?UOWTJiUwZU zVa4t&Kk{6_HE*M?RuVrqLi2UrtQ&gfRZ}mY;`wIKFk;YmbpFNl@4rwZ&mlmDZii&S1*V`}=rk+G@e=Sm(tJlFY<%5UAD2eQZWJlqsXrVmns^w;2QJ&YP!u}zt1Iz2BJL(BCWZ_|i?LXg zW`?i7=C=AtEk%mb%Iorv4*72UGsRbL@{*3Q=! zx|ed_rG-z53%I11fUi60eo?OtPD#lSb&${sLhTFGM^x8NQJmc>SG!R*P68-IrP+GB z58$Ji6K^$~m*|Kh-er+UttNG&IR=zqF5Go#Jq{NQBga*D*l=!5okHIUBY%GZ=Nh$K z$$PC}vGEGsw>S7bD(p994E4U{_sSyp(}#mRo-c)UQ-;--i3-VIAB?$D#%WSv@ES}g zPAqYq{PgLnUX?M3+w$aKGc1JmR&vkxU&m=GQ9oJHv}x-r&CWXcP+oDz`_U-5pko&7 z4acsT746N{L22;L*7TG*u>64=`cAriI@z4%qkq!Zm9(2&-Ly;AdYXu=foHaF%-RaM zc*PtePk#L2Ue%iZG<$KfX06@#d6(cgpOuyEi;wef#lCr8Ljb|DNR4|maRBR}<1*KP z!+%JF;qcL{{B5dXI*++2_t`InKc^JrkJ2w7z!2ikiX1OH6Jh`P+ofisswaZ!U5dXj zy!G7c*z1+Gv+w$SRbpkn?kB#V5tP-r+RgHDPCb?qD4#glre$S~Q+X_qubC?kRy4tK zf}smicfnEB#}O-IGVZ!+&cm1CDur|b8#klYjHCHn%%1BU_GAv1CM;`x&}4@!y_0ZE zxIQ|u@tW;}C3wiMGmHDsX8%+(^Vi5Fo!GRbQyHQhm6CTQVs#-=W~^TRLDYyn5P9a- zlauX)M~t19LRvDP8}{O}H1QH9^EHDBM9({JP(Wv_vwvsY=}a$K=Ih|JzHc5Dt1NWS zb8!BL#EF8(aWsZ971@PVWVcmxT^e5T{*-U|DqU5jbLCz0oB0gmz|8H_9cA;rmw_Bm za4cl9$gb3^$oA@IyCv$0K@|bL=j{2f)X5J0=9+%x$s?RekIpDScQND(8&l*Uki{ui zeSz|bVRtgmGg}p#C)X!mUViV*sKCbTAdC;JRj8Eszp^#AE|aNpfj1dJh)1O5jKPkv zZ5hW93q`$TO^BrhU(4?9xN60*PMrVG{dCn1nNv?2h4Z7gg!Fd!>r2I3W7{i)t{009 z9>nGy)h6o)C=eb@XiYrHvhcqI5%Fl?S6Uua_3JOM|Fvd|fSWJwjYtJ=2+z5LUzBv@ z7FMb`t5K;)DC%3YPetpz@0t2hX!8A4z#GQ;uGMrCMZRiP1lTBcLDj$Q<99wfXr&kZ zcDB#ncfvWXeTnV8XaQ7c!rR{R|0!|4+Fi+unEebJQBB#o_;P2fU}mD^h+`m5DpE}R z=}O@PZ^gq}i--Q5($sclKT1BD&qy-vD+KAj&Egp}qv{3UZp`E(uS;ClxeK;m(Pl|_ zC7;m33l=HUHX0V3IDt@`Xh4+GKV3~GLd&!raChxhh7@c6(QCmJBIZ{`DfOkC5Yq9eG0`I6@$WZPA4n+2p`YB)- zJmTzA^E|3~Y4N~uZaE>;^P`~IVw|AYA4r~w-x%wnG}{Z~x1IUXPE7vXy)Nf95TEz^ z$wA5E%KQAL>yJONZ}s|88IK8@kfpLVAcBfuid0>d@8t4m@0TgaT(ea9_1gAVAs94P z!2V%FjblPeFCpXCjQ1XYw~dNa#srr9gtEVw$b9n-QOaY|{`MO`MQ-n+Ss!ly4=Z9; zfF^sV3*>CTgu$=9;efEoJSpzQkSb-w&A2OA-Qj+b?T?+?taN%lpWu_^ zRVZ6y@|Y%VT{3ao#PeT%v61(5hUzm2t;Lh zWf+cNH|ZpOl$7Dq3NAQ*3&Idq;C1$@;~G1KjEkkwBFnw&CnheRTZI$??XMHSghw>h zLpB(`2ryXCcSwSgp-P#`tj8py_DkZAr?0*;`ytk84>`=H15c8=bF&QUEL2ht%41|! z(<07Rrqvtwc9Nl=MdnWRy22Si82ta{yclXSRc`Rd9IWe6hAg=m7*bfyJSi`?oU6U< zJ6Cqd((jgZGeQ0jkY;@*D+su7ju5$w)+(Yd>Hql>1$v*s+Whn8 zM&oZ0ZUe{;LwYB?Lyg`10vv9AX?-+6OGALoCsowQORIaNS(E)G&uaYO>3+F3)1}rw z=m>nv@$c!yJ+w?FoSFvA$+ZkrTmN|M(v%|#dilL+E*U6{en|e;!X8M|RA}56@q5JN zIUYe3DKOI>PJ3N{40zdYDi4<5qd#o*d~tNL8gl06b>BdU7PQnCi>eh->;EX4xY}OH zQQZ8L%rNKtco6f79#OD zpyOJg-VY?QLGpFm?C8dfJX}}gdoct0bsHS^rkQ4Dp>FdK}%{HEG9Ln*bp536~ z7IM@A@W8-UnX>-hTZIyguxx$BRT|*h#E`(r6U_a#IKveU%46~m-2Hld_KzR^!0VL6 zZ*RsNg6b`gRbx>!G`!&XqYV7VnG2vC9;QIFVt`o|r9y$Tdpux`Rlp#p|HmMzykJ4i zKE3Oj*4KIlmm8~Qw3xn53NbOZ%cLZPcJ4_Qi8$YT!>J% zc-3|tVMZk{!(ZTZ^p*1Lsd@Ostw~Ll5gKM9i^PwGuJr8+k^KP|V3>S%xd*^7+h$R> zqRB;m{jRdC4o@@8ohL*OCu#2jRYuzr4Y(gbk;C%mt;X|_K;-Fg_(|A2zB9%beU!g< zQg}@MtSP#f#B_rD?#PcmD?6r#8q5er798@py8b21k1d5F=ZI zbh5&^`ev#geiz;|^j;Vj8E4n_VAGLv?OC z%=Mlc7l8>r{vZz_rqffN`k^GWVTGMuU2(Vy2#-qK9dL)8gg>-p*@a@RsnO6fgmt%cqg` z@XJ$i^-%?0FxtTFJ8wPU{Zb|<>jKXY7Pro~%K=;NHL89Ul_w+bY1VIeMz#<5>r57A zqEaQ+Dm=P?fC=18h@Pqll`AI~m8W-K7mlG&lc1v^Q$0Fv$M#YdGM-PI%5MFQ2l%Hyp=#Nfdg+ArqP+hoOPFcTZ|)4UYh{GhB7J}Q!?ct5pkoSko8}@?u9!0~ zcW56%jqWcQs6Y%DUi}}jmPDXoe5oqNtezxTXSe9U>z%iU9-(RrP_ z56rc5dFTf@-r#>Ac(*;mGyV2Ag{`;Wq*ttWbgu7jgq8#=Xq3C+OKC0APC*I01>r_C zc>lxAro7GK2wEk)L5o8jkc{ltN4|DApZL~;t#4m%o=-eZa{uG`#7XB9ABa1I`bn3# zGo;iwXywX$7&LnF>dx`q%l=#q?SEEP+=l!xt2`r#5o=Fn>On!{XIc*{(~Jhk20m0X z0vWerk{KKZ9VR1p#QJ5by?K;IQL{_t}x_0&VmWgUL7IBp!VR7 zh>n(R*nRXGY&jk~C{Sup&SsxpPV*+6D!JhGwdF7pMuib94Q~g0*WH8=p3^|Io#Qt) zuDtWQ(6!eE?v6nhbol<&Tj=z)Uvvp6nF=9qTY zd29Zj{i5{zxF~3A?v>IbM`?U+HN&ct>a~$@;zPRhM$MN5N7lZBTT_YhR>hiYGmF@0 zr8>2x{KTL=a)r}_i%_ehzO?Vq2`0dF2|NEZk#Qx#0leY{Njaa(az6U+8s%hIdlSFt zL6kmOh@c>7H}-62PNoh(66!&tWP zbGYV_4}*;;uk(-QJ*^!pL`UAC`kD&sYYOuZ=_ZYV`>l)RkCesZZ+~a)jAc;UtZG>O z9=(aRCTOv7ElB z!NR8V(h!t4MZB*z%G+jF3aGNO%LDS;=l}Cjg@RVUsGSdS(3VWAxqB(2z}dCtJ{R32 zw)T5`Yt%E%>Ja%4>pAp2sw#(?S5GE>FRn;u#h_F)Ea{vg%^Ksq;W2GHWR*S5;2SL8vwr5i+9}-j1r~bpTI!`ss`2JQnfs!+ZDnI?;AUZ8(6joD znD>DJTD@|IKmb`wO|5b9 z8^M2+IwE`du@h_tb(Uy1$8ip>q}%8Eydvk^3+U52GK2?|%oAFtIAaidQLgZ`5VN0( zy2|K339ac<>3|RBPSIS#A1ej9X;RIoEb1L(yZ<~(SQI3kqJ+)u78+#a8PZ4kQ{CZ1 z$M2_JE^r_^uCWH+!^n<+D*ORa|;C z%(siUI9`8;Wvn{E0T>{Kab-sTHMiFW4a2FuK*ebTzV}g})GPNFji(!bfV!yc;{v5; z^ZGBnMAN@Ki{0N)FkkASri^`k50dPPqt-0YUG3t-RN`^ z5ut3@kbn5$jreA7Y3RXz+n)l5Tzuy70>y*iLn^^BC&f(yqQ+{$6htTKyQ-yVS!z~` zXuTz|wP06bpHF=jijLhn$1H$)=AKYt+j=@4Ub8cC-X1s#n~k8mjSJkY~7$ zp^c=PWwKn@UJ!PDF>*cJ&;M7yv?`FY9I1xG&ki?&2ZIl)^_v53ly{ejjdlHS_xxm{t*+4q8L83dR$a-Xu4fG!BA)Z$nJXYFsxLBcy4W=f za-TbF;K{olIT@M19~wE>n{=T-c4_8(7;tODPZSO|x^IMX=&7>~zt2(#R{wM91DpQ6 zb9U-w?`sZZiIZr_;=o{KYy8rn^irW;&H3BI>(w;)_ zlZoJ?0f}UGkNq>HVW;U^@0BmQuFe`b{y%*Eby!qk+ck_Uf|S4vEhsQUw;<9v4Bg!z zB`ql+ojP=Phje#`G>C+BN_R@TG+K{sBp5MLsTpRdB-N zX4qcP@lSBOtQfWxBgb(GJ)ms>i+rXK#bb{yNUzC~mN z7ejo}+Fg0bz=i5PV(PJomKv*BWI2*4DL9-ZjW57@wrX`^R`J!F4@&EOvWdK?ftZ^T z^}lW483L%`zO`!3fJN-MM6(L>|I9Um07yd#4f*jViYk>d+t!6%rgb?3AN+()5>~pt zM_i3~KluMjdXH{^h-K1kQ;)=zZh1J}ApfPm{$1}j9L*2*!+oocE^(RgY_-ijCgUpn zXPu+~1r#=Lw8wQM%Tf1Yewu=PH<$vNqQMNGWjGgJj!J83bVUE~ZGs32t?^ID^P+}2 zoZm1Tdf)XwKi-)kVbyQ*OEDXQdn#+HZaM33v)R=wQMuZ{*X=rZ!BDXt?>!bK%{uY* zQN{G3oIZsQxKW(?VJ4@me{88No13#tt6!cV5N-~9E8}@q-fS1rwaLbF>th94t-;$d zKL-4$}9t8jL75viV^k2Q*Th?DVQ@Irhcnm(i3`?f^ z`D4m@0o%L%D zSLwHSq{%|7^g}OKa`Fo%a|J#>IEhZ6fRDuy2jXc z3iyOU=!Vef2X8{UmZ0cji)p4oPm1vhk8|-~22Ij*XrjHcB3^u?vTxoK=fa$}*)-`u z_;qT{QmA10$pU@mU)mLK9&}tVp}6<^JT1539eHt>iglqc?xw5>83r0V-a?UOq0rc0 za@{lrOAF9YMs5ye8Yq5vZs9WIzA0#wY3@Tv-SqkHgoJfq^T%GQn%!}ty6aP;lhne7 zuY0U3T|WAHfyq()VsKy*;`lvD-zATu(P_=s%mV~#hEQmKLGcN!I$9LoE1%5bU}7$7 zyWEp$JOU}u>k12!yb)p{Ja`VYA=359-T+0q0Km+_{n=gbf%#@`R)4%HtR7$dsORV6 zr~XmD(MGZ5RPu(2AQH;-dR53TFVDeSPO0eFqK{y_?ox8^D>AZ4hLDQlRvnGi-;1c4 zb%W$wpBKRx&jTIbE;pm2V9u;Y%!X82-m8y=I|n3l*&r1)sN=I9>NxKc=)6!ta=$LZ z8XIaB5Xai_cZ7hq`SyuKe4NhtKCL><3Q1$+uOELI+CqCo*eSAL5=bNGCtQall;_;~ zC`n-t^Hy021QW8*oywbstl;JQ6G%(+P0ctS7f8n1&bDNA!UG)CB)^R3AtIY<%&)br z7wU9AN?b$FA{^8JxLO$a3@>T|7JmS^%Y6nQAGP2ngox15L@G{bT36>ZhI1Zz1h5DI zQ^}%@!5z=w_k77W?{Ui67VREO3*#YnikP}iX&rqDonAX9Dzu%GkkdqEi#Lzf*bObcuDaMh30wt&T3#%fRtyl0aCSIpb=HRyE>n zyP)?q6xO9&1Zsr3*Ax?{ISB1e3n{H`LAS?h^`yUaIs?xp1Qw)FgpZr^qv+e zX&;Utk5Wa1(+XRKAR{0TjQ+v&_AD=>)5xPr9ZcxF&_n%b&|==A8*@gI()j3^mDZRy ztjB;KqlIPsKeGTtgDF{Wk`MOc5esivLWL~>4>473q-pchaJvIq;%$iE!1FZ0SFZyRMCA8%ngVAM38h{)p*SX$A6zFH*z)0F^E8r6p} z)A^?>DgWn6QoaMff$0fhe&nkoOjb1Uj{mz2;$wjS%V~ASM!e${=x;mgr*~5O*#p4$ z>0ZwZcxwbmx)U(qPn0pW>Ygy*-DMykwSVMCvXF*5>uGno%aSzpnfSR451qgBa&8pk zN4~Qae+QLxlN!=*>*+lWu5%{h(6BQ@H1g!4Gys4y(b!aAf1onmelhho6f)o10 z1z zDy(F17%vYuEvdK4yAD>2ymy%UFDO4Ip&c(14W(+3sqI1|^WanzgE#<3$UQ_bjq(PX z*3yjxOFHB`cZJzqEd%KTQo%7yr?so*pNCzYoB;a2P}_HKPARPOeH;gQJj-cLn^;@H zJ3`kVEU5*+=Uk?AYi47L$U69XHaQ~nn037O9;#r8h8MLi6iHh4-M=5PN@4i}m-ag< zaM4E9H!t(UaS9=6(pAvtJAy=Z!ry`LOqnCYlh8>A7twlo8^zflutBG2Y<14h^I`8h z4K>-fT+&)ewU7Ew{@Bs!zXFOtUYB{pP$&X8aiQFM{G01fH)XOVW{`y__<@itgxnQg zrRh^*<0o&ZwP`qP@pjc4cniG3Pw&}N_{aO_n~VginG?&75qPf;S0DfPH+Uw1pwI+K ze1NX)OL8HvpGNIpxV;#Nw~$=6)$nD%K(VNazfD;!$fAe0LA}k02+6S@)&@*U;=3jy5GCz|y*yIlo916wHh#jXP^Ju|lOhrQ zrTutMI4y9NwEoaXzva?KFOYHCcI70-oZtIIIWl@+?YrUZAl6KcCl1g&Z#SPC#p^=7 z5RU(qbizVIi1(Nn0@Np^vYHoew@$*f3@le$8Q$+~2N>Rt)$9q`sRK}!}fSS6lJw$GnzWsa3WH0mBSjNQhU7_+Z~525O^1_ z566&J+S>==gZ0jr+Cn-@P}J^9tUuLP0`5&Kw2okiaCT*VjJV%0q2B zPF)-ouYp_BLh8T*3wzv83?963P9h1)WdniBRC78%L;U^=&}`f8U)nx+p)OB8a66sh z|9-m|v{8J=W;TWaFd~BP)y^E+E8`2J&^Hs97eYim0QSu?{qvG|uAT1*A4m?(tlZn5 zTBBW%3x?;o1OJzmK>^7@z3lB%$Y4927W&(6Bq)8Si_AhMS82CtvfghPCS=C?O(W*U zd@MJ;_sEmCRvf^z_$IyiFZ@KI71nV=P=%wu!fFWd<2=)=ojrfn$2+3;TdWd`+LL(T zD9`WV7NuOKHy*mJ4@BbFhhek|Icy$xs#zF4t&cv3FT^pId24OL1Ba%~OA=^ZSYk92 z_5(~QKB5DvkTH!b{$_x1G9EY!A#5|vLq=1VSFGDr+h`( z7TycO+yDe>Tq)nBVdv=wfI2b{YSr&yj`Ij*vm7%GXdDWpM0&Q4&=nYsI zw?&%!=Wg?_pE(5y3Ki?C77L!Y(&gm;E5T&0_rD1yMq36-7Rf4NSz3D18q!Hpl4gwY z$JrF%C}Vdn4CR}Q$J+=rn`jJh)V#}~@$ZcG;PN-coS@unKnAjBrfw!*sCtP{jNXVh6hE^$JiYHXZ2)l17F9|Q z6qTD6(?mfFj$KAaZuOEy0NF7HA<(YNOUVM=m1c+n^OT6E0HXH+7dZLjU!@!_2?Knn z?>s9rcm8H2q9a+z!|Nnii0os>brNg%A}Xh6+p51g8oG$^O3uFf<`j8)!p@@2BUZ#+ zV4YN=xZQ^ zJa&)yso#}vWuZX>9nkZjpV3zdM>Jgrz;lfwI-!OsvDgex$oYfONeMmOmO6Pe*L9ZD z04~(53m`+Ts>OcEVe_3X4;cl@h1uqK_xpkUTmwm6+Us$VNFuq0594a9?X;ncab8a}Jnzkz?^mewR zFVjC18%wr-hE>uVltSW%(?}G+g*wgOe!J0gf3Rlof7+A&tk1~2qCr5xgi)FFp$NUb z72SC#O-A@RLY};$pp3b}b2D(m;|(F*LU8}{)-U=Y;T%oNFrhe*p#eK=6akJE4~2o zQeydN2u#GyDT?L@#irTgL{`*QC08`xe8rGBG$4A=yf^sd8b=pVW~#c|_3yGWk&FZZ zB(}U8oWz6M<-$xpEdpPHwzgN)Gm0epFovg`UdC1FT|A=XWI0>_6^YIJ2A)MSI@NyW zaQLV4gBuoENCq9hW%si;JYLdNUo-eCP;5M3c5oW#-#zT1MZ#bvM#2En)EOju>-MU* zjhRu2q8&&*&?sBPg$w_=eD6id=pfPi>L8@-t@i4#YrC^I+%I!`N7Y-KFHkY!Hh_7v z?FmOZ0Hp%7Ufp)4sB&pRh_<6v{k?1o2g$kRv~WjT7qNgL$rMY5e^FfOXo;r+paa0y zgSLyze(xoDaxo(_tsI3|Kn9mgkdenz5!Mm8deyNjnlHUJE9=CQ_BWKm6qOy1h+ zOD<+c76SfVSez^PcEbF&_a;W5`h#>7uJImIe-I5ppvRoOAy1j$kC>J)Qrn+5r3@E< zMGZ+|ZH{qE#DuEW*~ZGk;JKcRhMyXZ7%^cKqK8O+bw8%LN?DxBL|Dvag1JOoRiD2% zsn13DfEs1vUMNEZZalp4@8qsjqk-y1!$~75i8TXAE28_&-%2E~OT58?(>x6nyu zsqHp@DjXReCm^-EU3viy7YlSQJ>B7g1+Xe*EmqzU%6BOUJ@^z1O^^Nu6p4&A z5XXk!^B!h@j_}O^Mh^(2p|n4by&o^Vp%c3wKSr7>Fm#{M8!L`ghE5&PKleJ`9;gbT ze0c%SI7~ZUowRb=`5?RQteEw#9MC)r$4cl=;*-nVYDi~F0=@dv1yYWE>)vCx+r3sY z!wEjx5u~0Ha=p^D5|GiH=70G|xC8g0E%9aazL+?SLN2Jk4ow;EVe0V%uDydPH(knj zA@0xqHh>*M03`=3$N1}OomR^H_&p$Ze3i8E^8v1{pUH6~P^w(yF*D`+9QgT^dQPS!8cZc zXkZHG587^U34SMT;mJ6UH@0KYDUiPFaMEKeE98wlBGhfUufR_(^@f}tx@4M!pmMqY zVRj2FlTan!l*{sc2HFp01C7|+hr12Nu;pd%E9BW~QvxcnR{kI_mb$AS3n0<9{AzhJ zfgtfE{zkZKf@*>7+$5vzp{}2-Ib+lA7-8F!#L<8L2gfL^-RqzF9T!29nT<{0qsMLO zm95SBxZ~#r+aZyTuC5m%A|mncDag<%BVRr-gjsPO=y*piu_xAatkcr8XSAeX!r(yr z1!Q}ZOg98u!{bMer`zJlMH&IWG>1r6)mt&i1XTogseq8q3A=g6)#N=bdoP^oTHys4 z3`M1n%7OFXt0%q3M9GcwhlcAj2;f|=U8E#Hb)^lkRa>Dy-i-#~hyS7=Fu5xfK)9WB zXTB*q{rb;XcB84t8!EVP$^<;wJ6f_i@lE_>Yg9miDzx1gv_F`&{b6#LVf16$^^-aNIw7B+=Tto_8GsqQ>k^eZ7t1 z=WOlrR@|Ed5d}mMY**WyIdjUUP>j;I3~2148yCy0m2~WAKo}6`TzuY3{P+!(GU?zM zXEq%=lW#`fi)hU!qp0}jz{o|l8~z}KlS zYWI?uxrU_slmBXQ+kMUX{WMv)b(M2o7?WvTyIRD)i$(O@l|10z<%3y6_7n6^nz0AlE4qEcQHi{KOKY?U- z0ncnNg89h`Z%Qf5H>A`L1>>?j5oBT{3mN!N0ytd5o>>=4a-^#)LC0Sh@XO7geC|K>!AD&T7*D%zA!W@=izvMVZ#4<+*# z`u(=IXA5UV!*PxyR}HGX~xKV_F6&Z&hx+R2O;dn3eI!+q$!cc6Y^Xa>SnOIfj_p8q82= zF>9Ji6sEiZ`VqN4N5=~Ht z%d+S92y!7{0%l;=FkhCymxC4x7}$6Dk9?eywWoG6Ly6KbVK(v$GclH1RJl`)xL+M- zvb=}s>429RV2)lwmlfhyjr#}P=mjRn_7;e2^td?~8*#>pLd+@|c6FmizG$fe;y21u z#+5ZcpJ2FJAcn|~o2Ddjbcd$_))&||oc-;Vz@G4!eEGi9hgfT3EoR9eTc7aq1$G-TpQiQjptY zzyKo^oS%O`B|BcU8ooAz+xAN5XZ)@|#gZq+kY!&mLMhRrNOs-u%Y;^r3v-OKn2u_> zz~C0+GnA|#+k72hJS8~c+!BbJnp->wy`;0Z{kt;U0J;YPum%o$%p%_XJ*H`WAb5n} zsB@jmb9DRHmw()yec|AK`W-DG%enU8L7XZ?GK?Bu9nNG(`1Mt&j|DW6UWKN+r^i>Y z@#$n5K2>O?mHxN7rr6HH=U+A4mtU0{x(ZGy&3|`~9*nZ;;^QL18`S0E@ zjUyWQI2l;&@H^^Gx#(Bgs7q^u2x<}n$kh^8-E!tp+FiAms`ocHH(9rbacu! z9N#Im+=h@i2?u(hARBIb|G(yI8EreEWrwN#c73Ny;pb>)%v!uL2{v|MH|x*mqI7&5vNnK&Jm%)Q%xEYc6V zf9yhWwrOGm^TN}Rd89Pyyw`#Fl!jA|H<$WL!V6oPWAX`}p7(oA3RM0GCBPv|7d@nZ zJpzd`h>i8yzxli$rX9i0vw!UVFE0BxYjYE@i0^XlC~?Ps$2r2IZ_z+sDbxb`ON~Ob z3yGbX!7qUbuln-;MtI@B)X?Wn>wnKaC+zE$A7cB&*3E`hl~q%> z%pm8Zy=?Kp4}x^e5wc*fu(#!^8IptmOD+@q{FFKn9}Wa&CMFX9U%M572v8139LnXm zsgj4$gufNJh6qegCG7nf5{inha{f&s6?79x?FR#TJAlJ$<8B?tz{u`$V;GJ`Fl-Y6 z1OxS-OIFew=l37=r_YjzIZ)HQ*%e24q_)dg$|X`j#<{H$tiOrWdgH0_U8(haXRQ?9 z0D;ggM&R8Q1f@As7*Hs#)Tn)USe>I;JjX5_+6!UWWwI!!kO|0Ie(v46wO_+{5ZoDOiRm6ShGS@)rcywW8)@B0LPM!ImX|qr=;fVr zrzW(O?;g0j-3d&?O_P&8jhzpPQ^>?Kx!ztdZ^vK)%>d$W!gIJ$k<>G90C3V2!JnV- zS?alYT|sK^O)fh=L2$r}!I?(1Kp1c5LPZvBJ0bWD2AGn1lijnesjTj8ObzoNE^2rvW z+xL_zn}EEW+F~1iAZttuwlc~jlPE?8h@;79Cd0`D-jDZOK<;EJ*~K6nEa?b^6(M#t zQF_q#(94H5U7iP;DZQ?0tcBvh-wb6owoM4y%JZ#PR*6L|V8c2o9AMwkm7`*@j5mF8 z*MF4y)8B)%FQZU1p0L;3~RP!CRgb2$Go(t9eY zDpM)Q!H!iGU=&M+kEJr%t*+^@|2xTym;k%rkUR>Q@*2?dTu2Art4wc!a01(*6jW8=M0fGGc)w;`e=uCFF#5ki+!mi1OPUOm4y+rJlTRmX(lJ6s}r zEelB=UE$3E^LxHPwPDnjVE%8U**c;?9nrSeOFd{PNuU6F-f(`yvx!1320!y8uoyKg zw|TAcs(6)t7k7*Tn!U6<-kT<3sG1vlwpgz(q8xgrpmI+pkAVcf-N5q_YQzz_R9ivx z&d`#=Et#?aNfo`i-x!#3!}A5&v@4Uv8kq|J18?Nvh)`mO&wWe22|Z|3r_jCkI?yQ2^Ug;{F8A1WIW!AsBpP_UneiPndOuzy^bwz4d5{+Asne zf1)OxKbZTY`37%A<%9m`d5iDl4{raU`uC=CO=wV9Kqu>6Z2v#WpmVAFkz;G>OF3k7 zhf)2~2g|O&UZ64he=u02fV*>x$8|K&Bvp7H!4mkSg~C`@VBoPdDD<#=*ZIls3^!T3 zrfyQEdsRim`eM=NL8Zv+f@x}IT*p57vZceo?(Bvo=bl57Z#-oIgroYanmlIq_f(BIK2nZN-9apIq=n|C~+rHXgE#mw$5I#Zr*(u2b_~yxmOY3(a)rifb;Q zK8*N0qv;tTRh!(aqR**^4SwkLx_&d#9`HcoAh%{=P!=65?D>G)j)<9YqKC7R38Vp` zmAM@^#&}O~c@|AmOKWAe+U)hj-_2cIc%qr5Ekq4TlbuU~0 z5)J9$+GiLC>^f|1gyA3cRjWF_D&d)p5;8KdbpwQ8G8#E0svWJ*ovyRUhz z|4jy?*5+4~=(CXB{QVGe3xq@Ua8$;G`e;Ev+Sr6`Z=2IVKk>NlJGnuC<_(oA8z*rh z<(QHjiaB?=Q*igM;=Yc@Ig{r__$sMA!hz1+(4YVI7mafq(9U{J^Silu)pmfk5e7d5 zh-33pH6IGJt7G)r7;ZwOL(>I;fsx^aF}LX#wJEB_NpBwD>&9O-BNdg;N^#^a9Zd#; zgFd8m<{);Tjii*Pcj|{xpe#1~4$xizPB4kq2kJNFo}Woym1`?tzujwffBQ3I;g4m0 zeFz`WRnhdeej0gYA_YnrV8ucC-=z%VS}8fjnG2Fi9CgYn*liuh8!=8N9{=^17xlY7 z-WU3_kUGq~s=IZL{a{_Q3M^3u?D9+0-B?SOo7c6a#Sl5%$*emNlu|ePd&lW01pw&l zsKA5yPXT7UJO2$Z`{T+Ins?EvXPKQ40*&}-F+k-%zau?P;Y~Ab31)2<1qv)>7tZG~ zca{hm@3j5kj`}1cfs47;mtX~R8N*?1>cFgXXHzk%uf-8MPgyuWC?hE)u=&02i2pb9 z`Sw@r<-MQG`bY7-S|j|N`mdC`N(hmISNAB|P$=B)bh85QK9a#<-4aM4(#$X#L<{rn zg@VDN_bTPng@ey%px;W((rOV1CLBJ9Z5SgX%3!HO+P^)+Q zoG{V9wR(dF*0s|bciC1m_iZ2gvcC5G))v8PA$g{3hbSQ4Ezf(Xzr;b=$cbcz8h*P0 zI*ats$B`v1VGa8)Hm>#ew}xUe_VoI6>I=-06~g|ac4&lDnm&qXS(0|&|3>}=r9SIi zlnH4TmGOl#tIs{`2@L4c#O$#r@y(i*mf0Pp@tmf_8FBy<#5L!WGTH4PmF-nYX0%T`_#l~4Uw2M)0vYla6vx9B zSB^_v9?j)t{&gWSE3~l{T~+C<-;R*)JL}Q(29b}~a$tf51Q_`VX*!To6`sM?4;PyQ z+I173;Z=nD?82z_w|^xH?X3cFtF( ze|}_`-*xtH3%gR@N8RxJ(3gS9gJN5`Se4ppUel`ttFE?TWaY?(_f2r0c%I1en76sq zZ2N(DzLK*+dmBIMGQmr=1T)!*dJR)W=p{I@#Ma!h zoqmN?|4`+&lJX-)n|l`GV_pBL=l()BL(r7aQsp;mIK}lr&kM-6Y?jY8O^;$#@wq3% z*~aovdDb7tl<&7kfasz&gI%Fj(NS8KO?25b-nf@oB=E)YEtT&n7bqpVRp zcj_)RCsT4Pd*tbo>!r8d)BTkYbdZO>^99{7Pn!hQ+gNH7u7%}Vrw?79TDNP+1)WvZ zh1$*-j^ARHsD5v|0=i%w=BVe{UZ&o;BmJ9XvuznGWQ7ior9*-5*rv!uQSlFC*5V>+ zRk~rkU&v41ReqJsfK)ZbmF0zO^p$BfC5n?FhY+XEuS* z`9g`KA`Vr?DnY$M5m#O`aYF|p?F)QT_v&@=JqS&g$G$&)*6o6N!M{|CGr7JJ*@_O} zdh$PiA#s1m->#1q(#J~Pn;L8aOuT(9Qc>(OcVUVZT5iprbr;85XrpprbzDohS#D|} z#{@HGWCFhU=yU;hnz9E#UL%r;3^3rP=e*C8A7)7UkS~Ie9A4olJVAx-oUVQUWE}fa zwMeuyIG&(h1d$km^0QDA#4>)~fST`!HD9}A!iON(QSTMiv>13udDnbk-)M zr!4bF`1PYd?jS%0gL@y7fE?hQZPtMP0e3FBa2(GA^>2ZQIGIRRV_%LM4?_onEhj;@$P0)OwUUJm_Lrj#iBt@x>0o!*( z=rOgWrKLZ|o6FBVzJ{LbR|2Rj11$tm!}IuWQHR9kBdJY`Yw!AbgOEz_1V^T_O;LQY zPuAiPh(HMp(?wi|6&lQvg^#_}Yy`#%C47sgaQLQ^Y({iFCmlBO2hO#7UO(;|y9Ydr zsmB?k4y#?8yZ+`%V0=#7=JZ`Y;M<;&sYq&>UUU5Jba{Em$uR{`K1Km$(_(xyjFb!5 z6=u>6w19X03#97o_*InL?+Ts}`*5y{+3H9xtO5b?k7vXQth^nIzs}1ZTFvXmCkkA3 z7!tOOAHZh^(?mFEt4Nhp?Sk#L#0J7?pdzgb$fB!9(x=1MVpmK-NqZ5jN{?|iJ0tb1 zOs75+{-9N(B;mOli=CZ6`Kv!02&3>gZnriavhr}lg`+Rz@RlT**$X7Pc`4$^Z~8sMn5~a%N;n6tV*D6g zhg7DMBQgTzvimR~4$xkx(f;+W`jn`q)|n!OB%jOSFBlvrX2AF(5((wAkh@x|X*9n8 zOrUa1ffdydOgtQEAX+0E`sh-8IZHAcmZRpX5BDCI0k!o_XHBo@a~A6?2~NX}seL{(#lwXaIv#|N7*i&dna>5V0~NyhrQxxRvEYAU`X3msAx@sOOyV1hH*!$SN2cKVBT zG*uEuX-T+%OJ3wj4>0jyr8uHR#a!CK)>C27nsH)JLy1_ zDH68_u1d_|_qayITCDtSuBW^alI%q2_Z*fh5P(SANPRT7-`Y2BwwM}Qq#{>{Io?5* z2~#b3UF^iXP}P)B`q`|!<_jq%*k%~@@*8>spDzx%;OHYDbq5*#6`P4;)c8LOpa(1f zQ<@h6*N7i`1guw8%UmmAJ8Z22ap-h)^I23M)%Yt(=!RkBDNV!f&1s`RfqE9u#4@Cg zTKoPEeU`KTufI?M3lsI25i$~rU$^e#T>Q}htULJJdS`+O4Y+YDxrZJ zyf2QHGn!nExz#|1E#L>1JUqMZQCO?P%I-ISc5ja2<1~D#Egl`}EtGRj z&>5s;|JTp5!ayAa5?x9lj#6T`!q%Rc(D1QpcOy${aiMf;?YRs04m-7mVYM;KyO$Z{ zMz*HxbPfsqn)<#6mhd~>T_m+^aUxmtzLt=cRdQNN5gYahJYSu-PeFzl75!&@+}Bxz zRY()-D?~Dx1RN7j^M~Le$>Nw%&c$08W2Qw9pG}KZA{?y2QmzX45sB#Up35ME5+4p1 z`3woZ0@Jkpkkj2s#*?>5)754pp9?V_($J~Qk%};*%-JAm^p@90ci1W2y=3Zvl{%;c zFfPmUXrvQUfRXMTVEXCluP#UI4Rm43KE z0k`B9d`?o}t5?nO4t)WICX*8BPrd?CUvInD{oK1Eco44Ae4PzF2ZyQzhJ2xjx|~oWg2P>9z^utJP>k*r%XR-^+mUYYGJOKq7m{ z)#03Ng89LK7<6<|*#Z@!9K{Tc=hnLM++3maQ|ne0so;hCf?hF-1~x}m5B5AC+x%+U zI)F!=g{W(#cO0BpMO&-`L0RYu$c?fMJ6G*3>p9dlMJe*m6g3gsPYSfGunzM04;cwy z1gAMmCByR~2~B$>it?rc#3Jj1o=B5f1kyr=IM^l6db}F+Kpm%f!ykIGv&mjP z^gb`)S8~WV)qmL@JM1K`Fhn9LEgbEp==)Eg2tTPlNORD4j+?S1+;*82!5t*yO<$~% zxkeuRC2BtK9%A9yF+cwj*#BG;o;S;pP4iP>W53n7lZq-JN(nsZvD`E({#GPQ1{QE9X<<>EnN!{#2kd^6u?Z$g#oB*5~ zCW6%6NxKyjxATWEC9*5rc>Hz@@*{gEvekcHgwPYIjQLMUH`I}Wo^Eb;SCt3?kq)=t zsbi>tc7{l@9sJKH1N*c6RcuauA6azhlXt6iL$lZXZk!ILLpT?02NRYimlghLiTCq4 zTpZf(5-c&um-sRt)R)hs1S0U#P0+x1W&`WTo-5H4)gE$#_>}KP&!S^c14mu2FFtH2 zWF)NOubkru;aP#Mf}J14pB|6&6e=>sZZu4HQL zTzr9~jf^_`o9Wxr15!gsVS0V0?_w8`w_?W>fzv9>s#GYskI$Ni!o@Wkq3r^f<>kw{ zFXu>swfi)1tliJ89(8K>)fXM#m1iCPfN)qL>A6)83sT8mbirgT!mAQPsNx;W#b!O) zO`5FM;IST#Q;I|%8gvfZrBtuG6N$mJdCwLu4)kcgxJ5&cjk(>KoUeyE z(=FtG7eQPFjMNl*e@kSbTq}&K2Mt?KEREWty*+#FUHVpN_dA*)WHkV#U+vvZ#n4^f6RFcmr3-E)4g4ehV~Eex{F2ia4*0duvdxfK-G5Mj*scL6lIjQ)$IvZ~gf_ zA8vb$slYTF%Ti<-4?M|Wn0Rc_TfDRpuOJWeb!Y`UiD8Qh@6POH819K z^s4viepGMeRi0}j8p8E}AfrrXM)=33LZlV8I(^5Vp30q`IoX_uT))$7e5kY2$ToAd zkB>PCL2WwJi^oD^(r##1ZQxItd#y8`4!nkwa)F#CQxEBTnI5#=)N$vqdK<5jVSPa1 zz4oj&2wO<$I11Z>)mrKJVgMq1c<$`&Fx_miq3oY`1R8~fhvc) z#m&xd`%|6qpPRQfHX~zuA)b2Q^6G=att`0e$@Cr%qUF}q>Xx${Yzd+At_TYFD?)Hd zd!o@_o0Wf6Q(iwEe0dcUDsNS&xB2@x-7mTks^z6?ab*&3nc%4v&l)iRYO&zg5yDj-Xs+pX=QH;3a^fPdOpQM< zu3K3|&+)=0Ke8X~`(D)q;p1=Qg(#mUn8`A}UvYFPn5@<6URX}1p2&B1W@g^4eQtUv zQ1tq5D)wc)sHrCWreW=7Ts0#Q#8a_&c&&*Ii592_L83uX65L;jSj0rFyc9r`bQN$W z!M2FJL9vi1G+GF}YAX-Vr3@2dWZn8nDoz|Nm3`Ln&ppvdfQ;ruoZ~0T5(=_o@?D$P zoRr$gvtYx?_jzP;a(QWKh9QWwzgL_zk-})dX6yZ7&}lGoKqFFdKb{fH*)V*bP2`D>>UG@)mNRqYzu?S_zEu!MsX>x7gMNLJHnr%ePlZX^Ny6ZcV-yHT9?$~cr>f+9lVr9_Wr zp9%#E_0hf&%H;Po3R>;5TBzhdf9XqE%VxRdrtRvHF>vFqQDy^z_U_hBuiRYh@zGI7=7+7NvSjsk=$|DO#_^o3OPf;Iy&YZwtg$* zkX{ob4MCXPm@t31kEC~#AnVrrEed>;Z8W6c^E=)FlSyxpFMQA@>c%0Wi3B}WI|}g< zPdr9F4SoqNSSlI@=LLd5sjJG+O6bSl^d%4cwTfw$S|8EadOw&mLSvSt1Y!-gzq3zm zVpT>&ZT}g12uUK^;dnokp;5C3JP?%&n-Isx`q$N?ff6{@W!_@V`jvija$)#>**&Wk zsx%U0esr)xA`)1Fm-|O2e$S$bEd4kuOvt!VC4P$Oy=%@i1RXryjG+U6W8ka%0=P|W z=(B11cGE2Tg^FV%i<)|zTBdupDTO85Zg=5^mYTn9f$mI`fo_T!RV=ARD0^tlRu&dL zb_Tj4zzd7r_Q=E#47T4LSE^Hg5D;9gBYuoM=&V`YhNT?U*9u6K2@&EiY9Ltd%tl-{ z4!WS@jYaK@n?fR!=qJytzMWW;$5)3)!jO$V?Y7xCPv=-06kSd>b2%w#!i|W!zyHN& z(G(tKDWUw(PS3l@K<-e3Fhag#U zRS_ewWd0$Oal@^Rwab0pc!??^J9;v>@E6_j1dLJ z{Ap=rOL1rXC!9D`eT*)aF=eXYExTdZA0sFf=n{cnJ!_-n$m_XR&~@%oHuwDrNZ_DF z(YqTny>>3iP&>FmtEbacr#YIpR3pQ+nwl=U7&|9x_e@J>4z45~y!lQXWuu3xbec%v ziXOP#w^T|qo!}kU^fMZ=tHeS*ul z&qkU}+w#=Kerua+I6Fu4Jp&s&L#uXYx18vJq`c)`UhOuL71#@27ZnzLn~PNkT@42x z)oz!5l0eW&toC*k^Ds&U+*9@2dgz(#-zUjD-BDOFGwhYx!Ud*DzjT)s7w&qF>N zs(`r4#pe$xuk~<2o4d6%)x6!I-jhw(|E6Im04Dg!WJjLpbAueqBa%zj@de|Ac(G_E zgAx6UyBxVG@kCy_FLtA9lEb}U3SkLl>MN!D^DgG5Cu!DXDV;b3(J5hYI?VOx;t}#y zmB(9-*YTG4i{6ZEH5+tz$T_pE_It={#t%%*DmSx@$wHW5TK*Rx=u8WyOrnW>#mdnx z_QSW#6BLQd(TUdi?VkB*n!Q_2QT61%i^&)!{V>dk!ykY9YsKf|b^||}H`!G!-pBOD zvD+)}>eXU@VbYOPbgWqtRNJcpAjr)c1Hg6_Gkn;iGFwo&J1w1Zrm&j@cyth%5!;uM zUsl8wcKysrH0S46yo!ZL7od0u8DTw0m06YDa8;j1tIP*)e|O~|@~YQg%dHP?EvEHp z&;O16Lsj)Q(#k)>JAt%Ka*KD5p}L-?GynWBlzxuNC%$$xsHm7m^OC6Wb|gdjxURP5 zete{I^EHcV1%(q65i_!)9g_MV6wqt?>E)vE2i46z{?+79nEUR6xo!ggh_Vd7kf_9~ z8U#BVw0eq)%ukKZWrWWPeAZOIE1q=3Z>Kpl3qjE2`SNult3p09(4s9=h`ZN2_gg~9 zeR5#PeMoDrA7f!!RVryPa>tlN-ol||ewrfTP4Pq@e`Hl6XqGz-dWN%w2G#Yb&W-M4 zGY!Xrdp7asNhOq>$&`ej#ocpHh_z%{l&^%Q!7Q!uOQ;7C=NIY6Ce^(mSa)Y&_&fwo zb08ucnENu97_uiss}P$gK4HTE4^jnkgQf4G@xeLnq(sbeB41LxWG#s)k*895805_n z`sJ1LI)4hwMGzcG5nEk150d91uCiyJMNJ*oKb%=@{V?eFUNnM%JkD`eZ;`F$*1obe`xn6x@ z_)^P_{l!~i*4?AMPC~F(tYj)EphN4LRL8xMA_58Hws~GA^60%p=0lAVpg#4j2WVFJ zqpt>=_+DT{4MKdW1W*Sn|2EE$AF~}Iw|D6kOI$5*uVEbhBE!4mXkZ1%mSh0}>`N_L zCsx1uk0?labn1Cu_kflLnO>&X5bs!y(4h>gn@!os)J17yoA=_%M3pXWCCR(rjm@+? zKfLWOpX3QqPK(P=kXQS|IL7;e*5iB$mxwRf1OYyeb7D^WQy)UuU=<~y1*n+P$`DPO z!?~wJS?Nm7M6ltonG+N?hbuoB9ZXf1nq-Cw%`KPk?4uQa@u9*h-ZLii)!B!5xw*OI zIKkWS2~(RC551q16hu&N8;ml|GKLE@@P>fapIm~)7+RSC5F5?J#uQoVXl9w}*W%%8>MOt<3gaSM%5&ZJy-4zd3r*bU-p8quCYK zRIH#CVUjft(Hx&3qSR{=07EU$7Aue%0+7W6{+zC%hF*}du=LZ|$c4XfJftpIh;Lc| zQM+iFA~`_(YE47<2)j=k`p;|56I7tHkZy;B!E_qE%zZGF`!(icR)^{SR^~RISP1et z8x_k&M-iA1BWOLVRqLnIdDc$la_)W9y!AHo@txSi3_ z%IGv({0!S34F^?z+19-MliA<%*?1(ifp4n%+(7N5DZxmm!Cl ztd_~igTMD01@pHvOH=NC$YEk5#L(oXf!jbE%%!F&BLy1t-&<4+G6jh9yR0t6}l>Nb%-KfbqeeZ5c-xjyPW44v~@DH-Z^ZQs@Z&(U5e#Zd8W8?@KN z;|O^*1>%_bo5WaPCC+G&j{HF`(WDBd6>vw^?^GX`~UB71yr^iTXO8E_+%;H~X}O2_B7ENY zp+!kouWp#b?>E1FyiBmw|5L$SjHZr@c++4kW%{tP$YD55(>4EI1MAgiEs&5K-F~v^ zSHeoLzj?=|v{nV%&mBST4GFE#M$M$5k6}3~Dl~E=w3)=`&?~}gT-}us+oWd(S*TB2 zXMdepTBF8N6VdsOHZiPGW|k6uoC*=|)@9pB?jZyh=S8zR;5|`a>xmp@XjSMY=O$j% zZJU{VjGQJF3BIlL*Y|`K7(8(4n%bYPzWtKv>p6j4x<5eVw66lUSqzTbD zOi-ZPn5vGZlB!1gZb2wJ1ZCzc_4<5MsaKbpgqBl!gJclDhpS&H z)~XY0T*%WY7%(%4(TMe_0MPC$0|ohsQEjSH(Bk>J(j`@=R;b7JYsI$>s461Y@m1@7 z1%Rv0UyPT}{k)5nfU;2f5`b2w0)|`SmDdp$j?uv{`lNywel0JTz)>(RZp>G>-Tq-Yy~sOaO<*KPaj$)s+KqyV(LK@P&!@I0)cgG^^5Fw1cd!B8WwluM6-URH z{~vpA`4DCJt&IwfN{GymO34f@CDIK;cQ;6vbV+v&-QC>{(xo(lbV+we3exyKxc5G1 zpYs>IAAXt6SYYh7!tAsY=dB4-@+V^Q~8@G>s)p62gWBPs^|vr>bNv96l)cGbqhGk_5DPUV-JMsD zuDm+bgNIFui(%NwTWXt{_D|?|Vq|;}nKyIMC~UD@UJoj08FE&v)8wrG!|i$&{e1rd zUFDY8^QAfqzPgY)g5!Zh5Fw3NxU$PE*!W4#w3hp$+Lnb@A@XCJr%;(JNo}*|N+@gZ zpt|ihx6>QOv}5*i3-12ePSK}$ut-LJnHjxNCp0RIXH(WjOkm=)66nF#p7D;tQ09HV z*M6imlbrr>7?&D~dA@6(ok42o$# z^8FHwe-#r~%5X*P`R{I(9rVRZO9w0y@I0uM$8)bm~ z5+U{pVmKXFrEqS~E{++_0!CItO1Fj*U z*WG>oDD=8q%BIDlCAFvLom;d>XORtRUl`zF58W zwpBil=-l>TATy$&>>>Gr|n0NMVSu{JD^lz)^TFaUW=@?#OXXr zKz}m=?6~zH^C#o$Mp}NiAa~ursTk&@z+WZlwyji2lT#mqmtRI%Pc7&-QkkMd&LQ`G zgocJxPJ%2L<%fs1og1F^O;2U1^s2yuVx*$*FCwpJh{^-1d)8Rk4SQ4IJ=)PNQ*2to z=^fflUtP$7l6p#m16=x-KMpdq7k;v1hX2sS(=z+(2jD?42b+iw%z;_=L34zAjvoe< zyR-7->XgoWSdFrGE@hK_uc}}_^NF@wm6_U)BJDa9_RmVwE9aIgrbG+zXxjzXB z2FKw4ujq2_{g+IBPT32B+C@Jc z6^O{Q$bgdqt*63aU>ffTa>*+PM_|+l&vQ37r6<5qe)K+7@jW{yRevMOZZA_S;2wyA z)!I$mr!GhY{AUn-u_4;!=;R_w0>8q}Jfwb;dki(}_Q8 zP>Eq=Y@m(UNFJ7LuqE| zz97_D6IxoSWf-&64gIu8dTN>{SM)f2s-yd3lCeRN=>Zh@us-DBf>E;KrIT8St)~}KC?t;$C6P{S^}d0FfKe^cof>nd{*+oy ziis7>g*XB~3Il&?KGXdHWUO6qVchSFD33@MX&1bwLnE4vDe-O*$md+NmH>Aj`P%ot zT-{eV9_-IZQR@ou0y8~OtNX2b4w40BCKD$4N@E8*d*`eNS%gMR=oA$w?i(5zE)i1% z>^O|J9A+jo?~MmL>e#>d3H*DLp+)ir_%$?SI^kbhSmJI7q8DKFzStg#h6P&T{9Afd zV&h{C#2kCpkyla$9CV{elAWie~?1F|rh(Hx<@Nir+ zEV9DEMCz|qMOu|9@+dj*A}K7*3_zaBB14*k4gvlCg0K^ep;C|YW|SdatPbCzk?*)j zkZZF4{S--wT8gb~wkO)@t-pT-XJk?!V%p5fDW?K1%wS8Q#$WI=o;CnwU18Ip$a-zv zfJ84RCX}i1y{R-{`c36GxuyWI31bWamPHRal{9)R5JCT@5F#9jk&c56%Mws3I^kGX ztI{T=6J|LbFssG>f(9uF!|_`<=JUilc>mnEJcypq)giH~>ZwNrpU{)AjZ&LdYQ$pV zgN1!;vl431qy8~ZAF+=CodZcEd^ZsvjHTtWylzTvF?`(1IRP=YVGPn#aQ5LCkQ-?Q zKtDg#D18b*cwA8kGW4!g={*1t4XD0dwkQMpa_8_cMzH42CPuVzLJcIxgaW!mUNUG^ zQhzyL!98@yknYk%Zoz>Sd2xx2{JiZoh=$&)Z7MVqVVoVyO2m?XNyOB}#{@m@*&yI{ zePso-a?54i3+fh1$gq~GW<&4Y~S|Su;{_Y}in~%@=jyUnx?in!?~Y+UDBi{V;9Bsxo6!b29hW=}e|m-UTwfGH^Fa zHJj(QT%=)!Pt)?Eg<1Mj2%s@qp%H$BuR-@qrg9+ZCR+FynfS7LcMG4#eXP)GLbD8q z`VutVqYfQ)R}(=r*O7{Kf9xI4=lOiWdl#kQa3bmE+Nsbw!yrrW2;QOHKn!BD4$Gyf z!<)#}*r0LfJ9k|F&dB1p2`bepBe*!8pN}LMS(z}Ee{VJ4k*3LNB~BLP!Sjj9=!__} z(de10YLzrIB}fYp^&gu;Wf~=p0`IxSB)X3Q3yq(o|K5u^9{kbyG+u)r@rExt)kAld z#)_jX78oI=08o~wbru*iR0@XoC8*&b!aTd5Wa~s~rC-3^Ap%3}9cObmmdFsXTsoBS z;Oc7S@GUbRurF!NwwKh!@8bn>y(nneO=FiUOm3`dGoC}Wb;m^*LBQsd+36yIT{u!u+#bAp zV5w0YlSIXOQ7Klp6Fhm_xuSGzO}yJz!Ofz#YevA=go#U&oTVya38{oX@N$(hv7>&8 zcn}gB_Ydxz2o0RXc=_iom+TMSw(RFX**%?G+vBj09_>|%XeYm`D8|7|HhNMOs+45k z%RMt-c(*1_N6>@Yz3AQc&d)@?+h5Fn;O4(45S>=Lv{9ltSckus`uzTKJgb!GQ1lTk zR9L#=%^(aJ8VkF|XZd_)>2|jHCW4SN`N8EORx~mV7-5)EaOdhU-o>X=(#7s-cGxH0 z@^=+-|L4kid^w8$Jc@M%3{#;^%&8>i4>jq0_}0U!)c;H&Zf2?2cru8^dr&f!*%+rg zl*Mw2oXdOf-PR2k;j>pKdFvwRA;+epT9U)6Hu+N}ii%~07{yKwHVRQRBuSMY@qctb zeCsdKduU^^H{(BDOuq5D+8tCbFnIG$t(0T!jm7v}7+yd{q4V*IQsb+N9*2t`oqs2O zUF+A|S>S99#blu2--$N;?Eac(GTsXArZmysyiu3;=#Ur=hH2tMAAWz z@&7q1zuptFTjsb&ZQswZzs(NH++y(SJ3V+tod?j|l`7Nn-fF_%H_BIhk(-%F+9{Z-)8l_6!Cy{rjI?$mc zc6?7fY$}6KM-!e2iTkXF0xMo|Nj#U^6OkAC29qn}Hl!HnyE4u8CPhB_ zhQ%q)p8N9!6<}COfc!kej95zS%J`2RMujv6&k`AQn--_rOfal)K_-?w#CF6FoWjW% z4$J#9kxEe~-lTNxh`XNeaGU6Oer29oXZt3Dvnk=LT1Alr^R`m2eL>FxJnak_s@Nfo zy1!V-d4Kz(({b%gWq;A48mtmQ2v9G3%M@yjBubRhwhegM%*I2`wgx4ZxV{wni^-0y zZ&{fC*xssl_#p@lFAOIZWz_A!I`CMTNpRel(TU?BXxtMm2*WQ(oqjiwYizMs)%kI< zZO?FU>T;L1oW;pPr2uaHNg?u=hWSIEd*k34_xuv`h_^R5) zb-GeEuJ0~;|7NBP9J74BZdK*jRtduE*v)JATyMLc_6NuGA@q#Y#o~Q0Tn?6iI19=k zI^EkB(Ht%S$AWF2B_%(7DM;pg3?xCdTLZY<;sUd9;Xz90(JJ%Fq3iR`zn-#Ua_JDk zu{V=Nc?aw^acaM1VWLmciqRSfCdYLSXpDv|PZNn4sOl&q^6x0hCPy*!*AL(0&tf4K z+@sm7eu@BdXu*W~--mm~g-T8uSCTVYHJ7b+r#fWLuXnQ0nUJ7QpnlE5<*3?e@-vom zq7L}Y%E6O~b7qE`iB3>#f**i$+EPj0Sl^TAZqB15xe*2SD{ z-lcBS>zK!iO}o(-E7!oLs?xPeY3ck5JJir(PF$4&s=v17yj|@yy4KWp{WaE7 zvMaWe=}&!)KL{lDYfOrLz5``Fl+Ow63_Et+uwbv5LF(e0T&Z<7Vnn4trkR#pkc>?w z{X#7V*s4S>{0kSHuAvhcI3U9j2-sj01L4)w1O`tx%|`t&m*GhEZx=kg0c9_>O&E0B zq08ETZ+;#J>1`2Uc$h_dvlH-{e0YYrC)LsZVsf8?xn#DBl&jvbLaEDvq7b#s8X44G)^vm}by%nV zgVo1&p9QBwIYVGarklLU2qrVPmm2R|w>kvr^4GaOLRUfLeV4R|xM~puDL2bvHXW|9 zPx%M-r#EOdq#9PF(ct>94WA5^)yyCd@}Hxg-=|5Zt@h{iO&dloiiHF)pt;}syl9Oo zCD{2bw6Q8E48x?7o4GU)>Qd=dVK&Guc(9?@G0*9_;>5PjroJ^|s8lW~H{GA_Eeke{ z;#9~7Z%dO*dD3}odUG|Y^q|EvD8wrkNeYq$oktvVPI}%Jl(FV_d$uZl zb7RFYTxxPEvZZaYH>nzIcK_4wK!C;bv5Buc;@~u{NV&455e!56){o*$*78bt2H*a7c{az%$iKqWRs;y{rCa&RV0<*HQ?_(6}!Vk)Ui-gsF z$=sZ1uqR)U2WRpPWWgNkbqxQNH~rDC5ReXLM!%uQ3>RB^O~n?ky_n`x7Ko^6Kr7Q! z-{BLD`e_VZUp@$Nf7=PdiU;p4P{}uaU)?NMoF+i9_crjn8^59Frq-KN*Tmuq8A@WX zwsk5|s(U9xh%bzixm;~bHIjOscapZVu89mL!e`JaXjbY+T>D+_>_5wT7gwN?{|Gr??DIZ5Q{*R#lcXuO2!5A8&4fBU@+YU8VZ*0rIcEE9)?z)*>+FN`Su85=~6NA;X-}* zjLouse1Fqww{mT1(kk*n@7hLDiTg^9BdI;BO6d~I=w<)sD*TyOuHgtKXszQlSBw2& zp-blbtO~A6Xq4m@V6m>K2ic9zuxq}n9I$#Sr%%@BA4C|tehvcHY?G53!#Q7!zqa0C z|27IM$#B!A5sn|k+{z1zUV8ifU1Y&H0o2b_ulLkHXkRnF(rn6L5D#)#&U_TY1#+Yp z29u{zkNe+n{^@hga!+U-NYq31Amf*F^B%i5Z(_r&ArZyCm z;9=qb@}B<85n5`MQk<#070g^&97OONY)F1)X0#Yc)$gI*Bk&gDHw8(Lh~NM+yntx2 z9_3cs*|;5u;B9q&SE$b)w-+AY1^qUH?Xd7<3tGGmUda&QnmNXXXQWc-P-_Tpo=R40 zgCbH4R-ZwhF+IC1eZ~76P5(vWp(Yz%QAhXv2*9vzj3D3_>WOaiyo^M?al}1kEbK@+ zL-?@!O((!XM~>zb`MGa$q=duK_C?xI9)!}vQblYkHNIF6#2-;g{^_H8J`@qtygJ`1 z=S|g9E-q4wpk{X-fcQN0;uXbS_m=NY$h=dU9yuh7&z<36 zM1&AT^7kPiljmNjM^He1D6FRW_U`vzY{I_;K-ALt_m1qSVs}2EGJTnBUFLm1Cds|% z@k%Ft_pv(u7d-cw@4yDmy=8x~cs?D?A_^Xs85;z857*j&J}6}vy+bS=)$gjnAo4|D zi2K>*jb?RRXvs0Xov^)VlYq&OR1qRPrjuZ%cy{Mk`%_<<3$!wB+yM-P_p1;F917rC zusUWo1+QVg7FwDOu16SPA$qU^Yk=0Tafn*P{|?nARH3|Kcdmuha<8+(>G#E{P?ri^ zxLGwnKa~Tf8OrH*OO{FK%0wkh7ve3J$?kAIkM)}0B2KFzL%c{->!qJ0BFi0r zQEt-ndiSxOv|_1RhR7WK;7QUI#S@n~l&M0dHmCBTI`D*NPcFCu zLzP^1%%D#MNpZ#4L<`xB5MnW5#CzxOEGO~}ejQdbi(iEH9PB)zp_+sG%07lNjMPgf3>|CN2CH=*cDw6L7 zpS8PiI>&phgPJKufS=D1_5^t8m`%6GZXX^bXDk@d>{Cdu^+mqfevA73`)D2>p7oOk z6@;EpU_|1F(=6p0RvY&bE3@yY5Td{6Vd1q_2yj!&>c|&bG<1lXe8dWu6_CtNDqXjz zX&!H08di{0GpXx5giG4V+oOjyKg`3%^yi82oB0xPdlnt6Fz^AH6$=6~BZzOtctnH* zyE1@%z(TiY!;E{tD7W|z#**(;%hibl4FKqXT+i@`+1s8-@JUk4NPAGsl#P^`=*06p45I=}tU$s}IL6xpOx!*^fUcGnhrGQ(Sr>5#jieE{y8 zXqQB?{&n@SN4Yy;JXw#e@o4KPdN*p~tKUwg^%|CFt7eg{T^KSkBmVZUp9~LiTGsN= zfR~ZIYzb3SPIcc{nUM}qo1_t>&Dz(g5z>D)Z|3h+FV04OHm;MCxW=*=vP)83l1|pw zCZnmcPa~zX1Zd-(`6(qX+_DthG;DMvD9_XZiO3D59E06?IrH%CrFYo(r3;?2UR2S~ zCfwTi*kiPh2a@b>x6!9yYy1BGVpi8cGTyHTDB`*0j|>Ck#GbxlkIcKNT1Se!$s=i~ z!Ej6M_JFR|eq5z7KCXMQ`EQbPL-GNZ#3`lF`{?zUc(Q18kYS=gIe+;*K=6|XC|HBa zyv4KWU?%6g1{(CRhI%{r5}_V&rG9AMf`!B#&&VQ;(sJAdJ-aV9H}$dJ4X=&|ESWc_q3cvg8Vp+cKb zfI7JyDr_^rI5sdGm+Cf4rjE4m`A{mZ|7G5amp2?eu@Z~wusn2*?hF$C`j?ytIzIS9 zr9?ewDB+zfJ=b|YUPQZ@;M^y-%Lm>J&X%Z;Jf7qWA|`tpzrRrfs17V;ZQcQ2B$m}R zCSYKD8lBpEc`+!9@`tv-0hjTD0LDi#|d!4z_tKBd`*qIz@36ZQ*sbUQs z#{N$kqlcg^qrtNVM_`C$sX_ztGmIl4U2-YWfjlPrMHa|h8ovz#!CX-pN}Kg`N#oTk zjjEVAIfIfJgSF3(RIntUGCJ6oa5ybc%6h1<-QcvDw zGitYp4p`p37dx7R3nNDhwI~is(jDGm3<6vY4z( z+sV0SQBDmMl?^nHHG4{Nx!u)^k2!Czs@`nfQGA-M=o~nSEdP0y4zAQD*JcO6<$Y{h zm2gA_*?1_pMoqw$@0phA;(e8xCTaLqaR?@Kov!wb72}d29J7X0JK2XD3!w(}E1yv` zF}6I5S>iIhadZSmw4QxhmS_^~UdX|LbrQ|XO2kp-JPnqU|Ka;BFk1d!B3mpycr2`X z1lzKh1i%-^y&=|xCRRzK5m8?!W6fQIG9VP~9IM)JXB(S7Xbk_;Xjx)F?mW_Bckrs+ z}0-_Hvm7o;0)?kXqFaqwd7dM&OH`)uaAcX^CijFa}Fp4Y_zQ z*0ve){7T)5jCymKf;uPLgz=dqph$1xA1jE!_P#OH0Nv?c zn--toh+LQ)ouu5w2`wR;D=-YQuCpo9Q5ezNxNC~%N{;F)(1sS{mPs=8y)|?7WfEBv znNEkBP!p^Eq_s5SoR|lgdLGZrpH)<70cke^^#Bk&bImv43WySZ($*93>)! zMan}BNKw&hJkwTm88U=8Qgk|0zS z9fA@7G;0YkQ$?`M>lT3DuzEeecRWIt!9dOZ{$>(A#`kp+8+}_~0SJ#2rL?3DKh)dZ z-4*S!%&?VR9>BeX`Kwmi$d2yMC*?E{yL)>ZHSdvLpf-I_*GajPUseG<95pg!`8o0< zhp7?qn-y1z?1kDbU#*Mb!Co;$g1lN=Q6UaL2n+3%eh3I@qXM;!jwUBI4;hpg=i_Ci zl1~_B0K$brs@rM&;@L|=DJeLWLJe%C&wj*S7@^(l78ewiA{}NDQB)2rJh2!!Y`v60 zgY+0|j;81|NmYF8R7p>5uIytIhT-J;RTie< z%P9bDgwr_INY+l`WjG4E+X8OnL?Y0JeDw5Max<82ibh#`lSvSu;)LUVbutSCbQe;! zFfHQ4i6)zv`rb3sR`;E1el`l6|6-Dp>x+9kG-}{JxHFa$IssHiY<1z%ArmmaJpbRD zH>m*jQFNkmfZ7aymq;suxQ*6s&zE3I6a!T%@r`s84dF_r9Wt(~ynhw`A~9)GmpqT; zJ~+hPc1R@w&6wKKIKUP+jrAW~8Zz0b_YB?!jK_8AC)pIJ(Qh^f#N(2 z?=n~pi@{8Z)ZiaoT?@;0i&zyA5w+(p#diyKFsOVaI2Bj1T-nS%phGgsQ{DNVNiLkC4VFmyt}%jisw{%4%Y>4Lb_t1G}P;xgdR{#Yvia^|G3=dDs@T1lY725 zp*VyyXn6lTiDAq6Glq|i0njN|fjSU~vYcHgO+XxMA{T?z)qOY=4;CEbVpIBq^2q(H zSq9P4)0y%AOnUoUij$VCW#V{wd9v}B{?KL5TO_eSgnhdtS@-Xn5;Z+KCW8tv6P|-{ zc(mhU^_}at-}a<>Ea)*;T8fLcVJK#jh$gdegWs6?4u8AJN);QM#n}+q7xU;}&23kX zrm8>6sIiU!d`lpL)fN?C5KbRQEH0Ib%fF5JEzp4!r!97pQ2{ux4#`S&AX`G6 pK zf`(%Gs^2OKoGba!vZ6n=l&SzWJNs5{_%R%|kM!8|f?tI^p`psV1>kSmN?(!=~HhI8R3NUL+nZ63cDcB`we+0=mkGQ%ddW(D?yZh*<=5>`&P&1Q5K0X^~$ z3tRl^hoQUll_LCegY4S6=+8J^%kM?HH^hXT*VER?JR_^MUQa!^u9G^zI(2b7Vf&0Uqvi%%TKlhm~5(N20%OtADBqfZ#yN%f{Ua=Z{)O`J#ifi36MUTB>?GT#puh+FrXQna+MUR;Mv!?LJ^rTg#Wh?hgNMw zS3CNK5FH9W$l<^Q%b=(#5sNpV=WKt2D|K@%%_l-%QySWdR^q^l34=wu2y*G@ z;4T>lzQFhLeuqW*K7OyBpAWrYYh;V7dMmWfq*fmP?(9@I15QyayJisJg73PP4K$EY z{<8SqObf4v3FfdKX>L<%wjNp8jrje9E>=rtJg`mnvyc9ct~N~-JFWz&BbpAr+jaiC z7OG%dF=(zdoEk%Eh#%%@0yO<2uS$WCdQ{HU@d&6mfUQcwZ%B{6Ew5Wb{Vex6Jm6lX zL^nY$?>=+aJ11W8RbT-MH=VNP#q_B4=>lC#0Mtm9xMLv?i_Q}70f=4bRahsUtUA(`t6hg^7Vg&?K?HTY)*K>8I((Y&dKx)Cwb%R;Y%y?ph=rbJ-hby8 z3QDIDUfquUAn_qC4QjFS((r1oO@E_+Zs%x)sSQ=(NHRin0~dN)aod4SxuPeu$^dOhY9d477a6-k^l5&|Pmsn@VtK!%oPI}j_GfEwa}H)O8@rko4(`$vd(VCL zb092UgLoy4t6MUKV^W#qt<);C77~6WZcQv@b#g2%U;!wSnU!c0|G!_O!UD<{$rh@T zn?WPVJjr(eXGrKfq8$(78f5OEQL$DDIFxv3b~4Zhg^#92fubkVZG5nmHfs{1zQJWY zbRng|w9~cLn-q--n2v$EABK;n;}VokA)LQyzTFeV9DqUzGI&7=s2`+KR0++qr`v+maE0DpVOFFpMakN2utKZ zpTh22*)>6M6RVBhNV9~5jYADnTxcB~Fyvr8f_3p*{*%wz0QC`z^BvfRKh1v++$+r%hID2bovfPB1m_WjSKiG{DZ|K%H8|nI4g9$0V^Tt*`uFb_Bi1fQDI} zYRr5?-{MgU5wb6xr6wP*hMQZH!@sLBi~T+UiAyWBsz;%-P&@mv^IT{qu-7i*!;GP; zPG10`q@{dN@6Zjth>Tq=4IGNGsK+yGdBC!MweWj9n=Vj5vQM$kf0=^Cs@0%pVWCV? zl3^3Ly);^dK-H>HmavR?iqUy5cHfAd?ql*Fu*=ywrrY03_n~-bJ8$DpPdN{?7;j+q zKi~Bx_6?989Uk$o41m`C0Rq=m_Ndjr(2Yg%iQkj%Uy5wzC25K#P98S>w_=V}$_zhNm3PnQ9j3f@ z&03uQ=3Mb=)aFkW2C`r5EywWPo-1kM)&wH^_xB@f)~f3haMr)w8oh4#mYo1M0&3Fd zGMU=(^ksXX;8*MfN`h6sg36^XkTdf??St=3e_$3JG#-uhDEN+kN<7d&Cd8p(k#YL!UufKz4Ov`arqUT#R6IB?8zwB>Uo3 zRyI%(8H*j0Q0{QFYjHS6a-Fh~@Vw_z0HBZc8SEmj!bq>DG}YdipN=QvRV#l=187#R z)0)FBkfG-BXLe>+dLq*Zwba+Uj0y+)(gupR7ZMkX?XW4gisA+zd{Opgg&WP>y>Ic_ zV3Q&E?O(7DT*GVvKvhd~wuAoJh$E3M?ITEd58f<|L#1vpdjIo{D?KrXlqP)rqY8Qu z93UM4)yzPZ{2d?C(jAQmuh(-@%H!U<)NVJwIO$Vyf3DZq9mw8XoMP`!bQFMLVM!GQ zhY+ckBauYx5ng=WAu|jaGJo%G8Amk0va~bSxsSQ^N2gEnotYVr_}cl|bQTWLhlJce zB)KdlN(!^DDggQluL36BTdBmV0z;}F(WVzeI9NQ%+w>nLn0M$40H6&k3!0ekcVn~E zEcWBUMYdn|LD=b&YJovuXF&+_c9>Mq`LQ6tNNSkNf*2M}JaX%5V9)kuS4hyipN0(p zgBr#;?f)G>^Dob;Mll!j)zNKrdAYV`=>M&sZxV5Ac2 z!ly%LV#Lm-UC@eW@AutuI&i6a(b1}S-l|8i{@0vVlit=qW&&G9s+CxMMT}`W2dXsgTKG|=`YlCtA{q_+E9F%xBPw{ zp4>{lxyFyo9{_iJ>2!`xdVG_)Iav-ZkWHBI`LzElFn1|aXF)OOd@rDNF3DVR67#A1 z#F}Bz?p#S-z4I_y-Mz2Y!Z^0+z>mg=Ca;m33LKWED7~?PBH9A+hi6XKE3uIz{4x%B z40+5i8WpcfFDxMn4&C-zszA7JfJ@ndc)S47)u>&$zH?x8Iv`dy!V{I32LmG-ft<3? zbEAL*Tgr*Ta-YYI0%`EwM28ACfB~6aaXKrg!=9tA`6#w%3IR%m`R!P3^cQa0MGhI2 z{1#e4?_l3gA-2cLxFqoYfXpE(7b6w80fzry%R zZazUi)$U+Xx;Y;ogt;%{e|uRtqSdH46kkHUGdn*JZ-Eyu5VK)wHog8Pr~@u=zP}I& z02*)%t(%E0rPdPjpCqEU4z{-h07-^7f`rWnU|Uh4)B}tGR3w#pc_h2P9ad%3QiU(! zwrdLzp}W29!&W-stC$HQ;98}oVI6`0xsZ0$o}E3xBbi8do5-&F7g5EMOWVph(x_aH zzi_NHIdz+ea=KuOUzC~9Uj3rwpt)R`i(!lf%2+xg(6t zwP{6=y;_x`;FR6wmHDU10!EQaE$IfrhCC&JW>OkY(_;h1#%IvYdo0B_#WBU1gd7hi z-bIQ&jAeCl^dRm-qtw?y`Hw5 zON~6zl+!JcA=?+Ad%4)Gr?JPW=Ry>|dUn?Ld#2;C+V%0o!8dz{ z)s)*5c{OWnxnxory1=Hsl8F_|;;ny(b2Z{b6>~l`m<{g-p35w2=XzQGLB|`QS{IfV z>pS10R$IPPF7SJg0|W2IX*)U_IOEgTt)Hw=E?p&p;ylwnQ2 zYmODb?8k{{FWy~%@TNq6%vNu?j05qWs8zCAsQrYLK%*1eazP^Qe8ijUI@zxXAay0K zc{fwJHEQM8{;a(KpCJ3Q(*5ZnZ?a;6ICODRHl0su=`J|*bqug)J0uymr?%c|UR*tr z3xM{@xlrm&p|PuPDMpZh=%txv?bW};X)z5r*~?7+ii?NSW4U7O2vJy2uG;LMprbYA zcc84}`8N3G{v1(rS`g5Nh4Kss5wZ&PL{0mQ64OBVrFW1_vCRxxlfrm+$i7}*0!V0b ztBk$p{_2$<@{z3V+WwefcFqyy%51?~?_I{TxGpZNHw{q_x0i2+5?RAgy!s_n9~lls zw$NxDuYf8hVBp-dr1yiY2kRj^UndMo`2o%~)nd(i)pJIR#PF$VYZ<#wcp&v-AINiA zgts8k%N@x0!qE1E5AYHnU;K-CC|8w%WF$Q_j<(MC33B5xuZyrm9C@LmZb8G^=&qDq z0Hc8d-`~5x0j;=nB#N$=N4!hGPQVVy+XASn@XcX&-b%6K-UP6-G)6s`g_MEJ^^7q< zucj#Z0CRDQgwIWSzRm=z$Zv2MsOLWm2Jo>^;b@?)pbF^B`2Kg>&VTOJ`Z2&wlO=Ng z2}N!@BL3RXP9+aK6xMFf@9KZaZzZgY@Pk^+mRp0g&un|5Y4B~K3h;q?F6KqXe>#W( zTJCTcWBk~LRr&fsl71NMVFxn$cHi2kz0kO6`hj@aivzb0nhw;7kQ%RhKD)5uj4J^%lblTiu8R}w2F zCi*=7U$%1)!AynVK<^VZs`M*n{RQn9?1g@@%O2=;NMmdxftqQ}180HVL2`pCH zUCWDo{aQi4Q?Frd1|Y|uDW}9hu#Hmn7+)v*5Muj?7^(E& zot5fjJc82{9kjw4bw*fZvD$TdkpIQfrCw6gMVqBVfe@*LdVs2nH-}O(fbvF;$?`>@ z0LrTrNr07=ht%FW<{umtP_QLF#TC=|NF^7#IU>?+>F+5(Y(itXOxrO zpQ&Lb=CSv~W7L&$XJf?oqp;ls?N3(lw*S5Lx0Nc>sK^DwuGodeABoW0huj1w-^?`G zyi4_95wo~>r0gI07M-XbRaQ7zTg4A(vmx)6X2pyLq6l6rp9KAppo)6KOQaeJu@d=0 zkPPY@hH?Vikx%paNLGt@A^^7)9I~=msR30oLDy$8xe~BDPR00Xc9gq?)4-%Xl|*Cc z79+QIGxBqDx(z#UBtyC&6dyu(3vgPe2FlnZkjXrjao#DNaSz2(&{D{zP3qYxpv4sA z#1(7rtv{Bn_W2!g?majZ5d`F!w2JTfao?R_IPEfZo$wwpDt55lbJX)6@_U3&3Z;@6FzUcVr8SmgAt^Gk0P~zlyMzz zvM0mnF~94fc!FQT|MzYfjCdtj4Q#)S(IHR`0s=KuC@kS(ct>fsfoaNFN5lcfIc9-eET(7F{vyJmOfjIo|E}HP1tJ_XXrPK; zHl3$RW=XjmY|943BQ{*e|2%e^08J#NI(cXf7Srm|AG9ZdMh19zgZ#WEi}U{LcUmpU zKP8G=R-qOgqIS2~l=i5Ph1mT|CXZ+1adqN5G;1lnC52zKn&Y__ zW;7UpuCnvdfA7|bke&(9}9Br@H>*D|_pQz8C z%Vqb3U@HtDfE-fuDFGpl!2h3L8Ba}MVR&o_ooJ84#I4fKdVcMkR|vRCAu&0HDj(q0 z^w8;bY9iSzBe0Op03I1t*64$Bo0%YlY@$hq9muVD@2`Zs-R^F&A8X<$Z8j6tuh1c0 z+S;;!=NX1LJmmr~8{y!%At9h(L%Ig$xE&Tbd;1~wXvv#;olc&I_ub?`&i(Gv?Pbjw z;=4vuxCtXlkq+TE5nIkPME?B;jEmh%e`rTOz)&9x59u}#;x`rKkV)o~o6;&57ktd) zccIwGZZ6C0%no=`&r#8b7_E|j}w)} zQ^3~Y8Mq2B(X1&)L5PK;Xb%9SX)uEkHHty7-t}gjoOUWZ#acNVNy%demy73nq@R!Y zNXDBLV15z6l)^y*WdU3L%BsPnCL5D-{0$}Eww`V$yXy)$r>rO;n9sXH*5l?511)2RC zh*~TH$WJrBnfQO#GXQp!fDgM7K{DvbZy)5cR2G>|IE4fR{#?nzB*_09uN25dsIXvu zwFCHq+4lc@!GC1%f4LqE9R=L|4;SD+YW<(9{U7u8e}Rb?kRz-$R+F{xDR%#yqtdZ{ zG;hc4UQy&^LxtQCfjaky(2opUJ%3Cao?yQh13vx%C1y))bjG1^!AG_v( zzu-utp6!2pIPq1`Il1sxhKzjU#|<(*Von}bcU!lOP4)6bp{;SNM@LwTI#Q>KZSm{9 zVXdvL+#u9fz4R`=tGFFI-?yzl$1Rnc#*J|Q_=atL^gShIr5*kE5vS>PsZF#Hxp>$v z5qaB8eF_8%g>L>0xyyw6+Y%BYssmMI9GG?Qk5LI9ka*W`6qgA<>41UU;i6`VoST6i%uDEqn3+ynBO z^<3@J@4z~+XOTQD=1PBSIwC_C-q=I!zH@-1MmL;oEI%=7;c|0z7Ha%fLbxo8r7^>h zim%F#VK2D>iKpu&!rs8^gNk!M@h;{IAt~9I98=qcTtZLOebM>;;k>77U#s(+2@j zsdo^r@88Y0IQ4KGQX;~gFdFY9U4Qn*(;h#RTqY5^D4lRAC0>%z9ES+fxqV z@TPsE3$B#2Y}YTy2x1ldAPSfPu(*`t>?HAl+!+GZIZG6{o_Y@7+IvdmWs5!W@ppFH z?Jc&j+4oM{MYA?sMN`3@HVVIlm@J?+_F@i(p2x`v=YkZ@B%fzvtium+~%_m5_9 zFL8qYU}VeZz;`E$qJ}l(5luu)+@$|BL!>JXO|)?Ik28QLOjT`}jL@$fTX2tAft z0j-@r1HlpG?Cs5FuDkzvREub@L*n&%AlBN4i|jC(g@rBvIm( z5US&+M4587BjidL zz>^?6Ks+)C1c&@O*~vM){i=F{>vR3?&{IWrhmU#qd53=}noiG3B-v_=I^n71yZaO* zk!E1V0Uv+DwafDym5t#H4vHIGy0`J)AFi=gb-DA}_(qen*dFjW(G(EE9Z?Znhs~GU-DLL`a=ZaQr(QK4cOK;nBC>?!x*r&cI=X;=v3b zDP;Z+dv6^TW%s=gKLRQtGBdOi&MZ{@(xJzuvWG-D`~t?>VveK6~%$I(svv$Lc+3`Xt5_lOL!Tq}sUo z8`ojFuKQEDsv~;qy2AI|-;6~|b^Vx5E!-9~r1!r3?;PT-85SdA-Ic%=q+ zCf;YcVRf3{<8peO{*zDDt_$zunlhWFAvdaeUFXH<5v(KlZ8D+eQ>W76^AW~JVs-SJ zVqWDhM4FD#11}Wduw${an|*Oot&-kKFO}f4$P}H()c0QpZ(t`JA;E$tqKH1CRqvX9 za12FC<<%9$aow(Vi~h!(-ZSIN5Wdk^#e6ux``oy0G^KU+wZM3?RzW>XV76(w-YRoy z?!7j-a{QHZBFzDJxu2dFe$!z#9jT{+IQ_H)Kjb|Wxt`XVa9}j`;bA6 z6|yhB-pmA;Do?q){hM**B?9`-?5@(w`&QzA0RQ%mt*o28RExX(Ro>$_7Eb-5RpAA~ z*21=Mg*6wKvxBm(i&CC()6oH=9zFj7HcjZqMY2J5tlk$qmxRx9?d+i|qeT8ANiKPE zW*b!uiW18Lz29u6ZqHYK@es{4k*KHTgQk2;)&G5qy;F^fl zy;q;c`rT9l(|vNcC|{7vqu*7-K z_0(NE+e#{9*>~{4$7=^9f}^xdBaR(*32!|5m+P5c^@-Mpa|y?2(G&w34tiv zPP_}DdTo|_amY(Y9m|Be(Lw6rk*Z(uRUI#%6_s~X`Xv~C1(4zQ#h#$=|8@lr0%R{% z#JtI|y8Ttuy>){olr{PmJRBcmFL!ro&6q*B_{nJPHJQcmn-~VW41XoG!+80P=gE_T z)rI4t>{4bEsv&c$1}PjX&-ZBC9;2Q==26u$7#@ zgNCqLwoS|msf+xsa~@Sog}kP8{eG_c{~pW>Nv2ujFc;pvf-AkxjHmiPN8dsyM{dHC zqJJEq~6NGu!KD+vTvf50e0dd8~yp6 z$@KFlN#vgm&rWX~vl*CNEl3v!1z&!X!1E)FC3l|&Y9TEt-vV3~lgGd;MDR=F0Ar*9*b7l3c&e7)FZT_OM&D-(>A%ZakcxvU;_(;doy7V}6(b-)jBC zs+Ki6zw_yzO|U0=jLy@o=+kf6Ir6-IlLns(gR?y)_NVE)|4@a^@kNp3qOv!%n+ zt~gRg)n~2g6@^6$C$7T=YcDeMHD4z}wi^P&bSYL(OB^o{QY@$=<+oU0%bIa9;e-s) zH)AmZtbWLq?;=(?(|pZ%2S?1Sl^ay>yG*o_ zM96u0)+`){5JT@_J_EmUvtUUUK1+wSe~Z8zn>6w(W7nOI1BD8;xD40YRm1b;Xx?Rd zOg>vT=5a34nnc4w<-ir>MAtf*EE9hzb-A_`YZ^UO`QdaL+UlVDv(+i3=AeoBXGTq4mJrwo@D-h^RR>?Om|bKxJQ zT3-hoXr(}k0zVMjfDQC+%fX(QfYYk16A=W7UvO`nC72_&r+8w*pj5gXoU|r;Z=>_3 zb=5|e2>I*uHVNHLm_-CbLsEfPBm37q(d^d1RF`cMmv`H8&PJE(R;fvGNyr01D%I+0 z%+j-Qe^SfZZw;KxjUONI7%VdE2GidAaLc|iD?HBe-4=7(?LnO4g!$taJn_sa~Iy1wir zKwGxa9nW5UzQq#H^!`FY&;5cb{s!K+iwR90hiTc`LJT$Yp>%V}*Tg#; z(IVvLBNnOV(=S_a5G$v_6LrWxRYRIE5GOOw9tzO)v2lQD0LT>)_h65HeEG90BI16kN0Kr-Lww;Cz zA-Gw~ZyG4o+UETt=}*w2g$DCgUXmOTA-^Wx#=u)*o&wPpSLW<1b3+i$U(ho@uCR@5 zK>oPyMqK;pCeI7;U1tT1peq~4?)z8yjighYXQ8y5w_=VRP{sGBC7QFZZE6Ru#P6mU z7x=EQM#qW5Y{jWv4Dw2IQJTFmz?OQ}_c53RgrGSHp%*1a>{ke(x}G+VwaaiQmsS^NhFXNt?5^Z8>}hT>BHiXK z3*TSwAJ0LA$Z2=3bB^pjqPFH;GBMAO*-}cn1v9_5F(B}4`l*uatA^H?MbW38ovICU zRPGkH6+iWcZb#n^ctH2iX_rx%m^wVFd==#|#nU5$iuv0Al;E8+>f#QMTkZ;+UW`7=|#($z%)!Ho%yb{I&!7hL1 zv~m=p*5QxbcwiXJ?*{*7zAj>>7>D9)ESoApN_q?wIBvahU`G9MjU1tfruB!B$6Li^ za1%N9+l2}0%?OG0U~)T=A4g12Z8G|hnBvV5a``a1;>zh?>r3G*0&|)ry98q5EmnnQ zpLuGWA|OKh5_YIiSBug0-B_tWoOUU*{v=T<9uvGUI?>=9^<0zvmEoK9FJ^LGQEr

(e1GsP#2}I zlwXVSY%LhmY-`2*w)@mo9wWMM!#^il&Y|AiI_dFs{QXIQy-kS|mj}JPSm^Hy8KbVV z3=5q3ukm~?=O_1O+uwyyavS{0Ev(CKUhGSur0-Obn%;cbGMp7IC5owY-tM+YsEM#- zl0ufgADoj7Po+4}dGo@4Jzo6Uy20~udZEj7(K=CDoNt zQRsxW=izMIdyh6kcDyZcP(Rv&$%#NHB$X`oMr4Ce z8kAIK$b`I3NEM}EL9L~lOW!7h-Zm;?!=BLhu=v-absm1#-tJgFnaX4{pMjk#B-oi_U} z&eJ-aaEW&~S!d1bipIU)I8a6y9pm|j+sPW!ljrJ>s}c6i8H)eB`_XVUkuX{XuBB@C z=t#j;q%_n4DsI2}dy!3Q-Yi89RbzYqXPAF0gD->*Ggf4p>mSeTh7vh5g)x0khw!vN zg2R{!6IX?S%OGlc08Tpz94N*+lLqsm!%4apcTusP?8SbFJrpmCZjw+%T`K9rJge^~ z*N|m<`BwMhh>W$3)_rTBhG(%smY1$`$XTAup;dW2Tn5 z_m0%d5+$)K|L13DA&3X*cjjj%sLr@?)Y^I zWV^GYTLFWOI9l*H);};xp(vIY`+7Q)c@quL=sR0=Uc#-e^m4)^yox5V1Nkba0@o8? zg>gr`AN2aHHOiuAb)Na1s?IA!Mbw67ceMgs>!e_R{(&~R>a|sa;rG&yJ9+3|aZU~u zu!k_;OuW{2JvoU3UxXmC&VnLZn$6Jq6mIDo9tgvN;}5j<}+HDV0U#T3NYG zk%CfxhY8N2|1-?WgvO!tny4%Z+PLkuUt^7ps~)W1B~d<66zt}BoPESA%;AT`k!>O2 zYKN!{ykG*pgZX+tJ4Y^6C0FJ>r)Rl(Z!eYvEee~n&6e1Hk4_%t{Z?+3Z}>JGb%fC` zp-2?V`#|l+kAmdaxZLWk4PI$SN+F|;9oY2x@*uB|rA@CxWB&2S_m}s3<0^gozCT({ zOhYLct0H<#t@A+2G&w{Lt~+thh{l)J31_$2RpUX)MhT37fRVHTe#NL*z2#g<{3&oqlP9 zNPz_%ExNbB?Vy59%PUM!#L8&mwchCkZEZsGRU zg`}A~*$x?O3IFssGb+AV_?bR@_JNyHx##f$Gh54 zsM4m2qOe~%GnYXvEyL|60wwh^3k{)WCn6Y=@|N-gH3ttFn};$XL3hK0aT&3>yH_$s z-7|?1TO2kaI%?vS0xQ|dTQN<^wa%pCHu|YOt9Q|huzpmp_0MJ1(%Kz!c_@Z&p;PJo zLE#=PDGTc2$)Q*NTDonPBnUBor-mtSLI*_{1kOT9?_K+_z#hyc)4iG;vbLgbzk!G6 zabZ+$xSi1{qAlM@@kimxYq_DHxWMMPKBZy7%CsLl4gxhFesPJB(3IL*{UNmbxy`Lu z!Uz6d>(xpG?3S%qygV$N5XKL{HC1(?Mmtp4?cbbt|d)?)P$?k@uG)L|(+6 zeLP~zlJ=AT&iI`ptpD55hg4VP=4Rh`sTk~!%9zBTb)BtlL6hTw;^(%VJPMGy2E@V1-L+0fg) zF-jGd9uG{hF%0+C8@D}fwHEoayqaGjU4hQCGpm&5OSTpuVy&jgg;0c}-?%`4N)bXy z+!BSzv5pefR|@sUhaRWbZ;w)J8`k@|aV7=7Y-3N+2=kCl455^??iF{vGj#Bb*Q~?a z?p}n5fyW#7?e4GQj{jVtcT7UJJ$|t2FaN$x&E{6J6HfK#Oi2x@u_Ps-69$7j+|(30^Lz8d5wz+2^qu;b?t#d(_QyNkWjzM!LUxTjiPM8>eN8Q(nBdb);-hfAB6onpUD4<1?`_@T0JcKY!~Kxu3fFkWM}nFt zmotsBD;bFz8B=Ke)$OhQhw0``{%FxTzF}EX2;zh6noeNZlJfX7o#x_d@LR8^3qYKy8lTXYv>TZ<>gH&oHr~Lh0{1q`tEV~bujn`$l!wC@{iHJczW^J!mCgQ)mBoT%hoH8L@GIlE@JrC z^VX7T-ErShKE5ZEL^j>3iIZiNv*)sPl1WG~;kYhk6c+e)i-QnmASD+16FV8LcKrfMqf76`$p-)5_%n}F$cCX0*T5_}m- zNY2LM0~7c3U{ozO?+q5P`H^D3)Th{J))VuXfaEb6z)`4SV!99eN86@=xqbb%;LE3U zk&4l5#-RRiXQFV0!tKW&1&GzroxK#CI@v;y6) z%c-akOp^&&+?q72hfy5-YQoL(FCIUGjQ>$F`9>trv2x?trggXQw+FoqW#X~-R&yv3 zq$JjS#p#?UWnrTyiLKl5Pgolsd%v@BTfG`K(t%D~y?fZ| zS#nSlo1H<4__U@Yyt#p}P<%S8D}y5dO@X9BihlcJxKW9uGIyv{Nb&am}`MKI=;+eAM)m`pKO#u2GZ-ocG$el-9};_4j^j@u?6^ zsR|hRu+}Zk1nYel-*8=24Eh!Y?2ErQGa=O7{(+zFR>DmM*1MW{U8P&gG|(2B>jdv2 zJ%|hq4Koy@6MG8vZCr#P!wYPto@R$ndsE$o9^TR5+bzgovvhIooiqCii?N1{Y93`IsKX z86i;_VSI}*pf52<6kJ4`=wlBNd}$ogL)*7~?^B6phRbI!qo{5`=ZM&`^`exogw-;I*~|HxQoEs$4v!XBL#u)W<)!M8Wb0m+r-mrk z=R!)@d85hjP$Kd!F+WwH8KMr?V{|JGMrvzz9--snE4^~tPGZ(x9NzOG-P*?G3Xwyx z``|_cz43o2a_5_^&k*$!F?%I-_Vs}R^QG@~sAp*OfFHVSj-XGjx!99MTS&E*At7TI zz(@DPGdW`rwGf`kdd(dv)GPUV*=9e2VS$=rnf0aqWOe)za3H=uSkwNRAf)Cm(iNss zjBi+C{!S5xGTg5gjnG3rM^T(dlDz~C;+;42tbf*O7sZH>ZlfL6#s)KpsWo50(`=^M z54&SHb79}wa1pLtky@8i&eJm>mRC(8fiih|dUn?^C~QRHs@1tU1}-tVGHDl^sTfej zGZX!FZjRu0q~;Ib=yEPv$Mqy?4ene|gp4;3lOEU(j5MhpzKG1 z81asL#oDzWA#-l%b?)!7JuB%{5h-N*PKdMndq#~?vT*rpRV3O;a~Xm*9I}In?H_(y=5O(IT!cXhvoLsc5I%O$CYM{kK&;$ zoF2bpJ~~2uMQ0nsujqoE8zMDnV%N1Q)GS{~ z_4AGr>Nqf&t&w_Wm!)xbHatQt9$Lc=OeSe=t09ANO!r3(W?JX%u zh%vOu$QGloBg(5iWpKw@4(l&~&rD*YU)@JsQR-@pWfkN{C8z#quNp*}ZS;Gfyr|1Q zPD^<~dlqk9axp^NBa6stI%Z=qg<6Z;@>0?Xl?Js}(m0<4%Bnkwg29Fy&=Yits=5 zLo>|!T)!2tPwJrJ)uimjL6UZvh$Uvt0pTL}zOaFgTw zpq;i4?*cg|2uAO*pqlsRW`6xS114cq4bS;dq1kDfmKNz{+tp8ggi?WCYi4rn`FcAI z;noU{RcO^knkk~+Y6}5=CWZtUe(Kj}2aae+k)y|KzJ*!_|Ez5I=MUZ5OyULc;ieS@ z*F}kLFFn6+P;`m4KF#YPv`W`y;U;HB%TR(W?wtIVG)Pf2)hae+{SN`Y&$hb&tFh7g zOO=tK_cCr1h-aZrr7-w_>Ana}!+91LC8~#jXIo8#T{<`TI^!o8$DEUG`=qHmXE|w& z|9A7|$_Kr0=0YnOQr(!7vW0qd1bxrbxreC#9J)a)(X1#$_xsuVSk}=U4=7cIyIO=C zD)Dw2DS=MWp^jf;1e;iP#J$*`BL_W8cg=PQ7ZUG2GZbN#&KZ(UEsd9wfc1BW=TiQf zO?PMNU`~4`KkSyBT=4}6yPBugy?$#i)xn>~L1Qc0F;Ym6y51QtexU!0XstuNHy$2w zc`s?%mPXScuf^1K{_=+;B>Xxnr*1ojoHl+x-wUy4*3^App*!Wsk6;f zxQ>pO9YyDt9I@<8awLN5RJ<{-rRK?W4O%6vBafj5ZW`lfpI?V;JY>_9X zVrX9p-rxqdYAu0)e9HeNd|_&O~3>Or?|W zBQ}2C8+b@n>Uy>HAp#-STvWk=h|YW-Z@H{pP|aSGVnc$I09*ego?#Zw zEd<0;L|*CbpU5W8+l4tw4kfHC-QaIaHg!y=RNMD~<7$AWl@afr;wR2o>GqwImQ%=F z5G4aefI8p72dcD4Lfd_XlfjZaRs?LGUX2U z5Y3Y=gqb~lGs7UNn1zu9qd#j0It7d$`OEd&4G-k%5r=z;-EKjePfcUhHCsWzv(Z}K-L!?+EH2v)0id0l94h1Zi?fd!bo z-rQzitck|Pw`~k1eYJk#&-#<}4Yk`DQ%w(IKuCJ~9_{^CDRrMBICTa1Ee0CR+>5M& zjV)&MoJf#bEi8ufhA~Hh~d}7|3HTb)+?7C$~@+?H>@Yib)oX_*%((w@N!VI`1^Pf{Enmu+qSsIN+DjEr8zFsixD_eRr#!i*hzLLskLzPiqT zjiCnRx~1xCg|;`nE{#vtWX8Tcqx_bs;GZzgH+Kmt8VsbWo1UE?P9MGbp=Ui+M*n)Q zRd!;L_(_=w^)o|1`2dH{82;A?G!@3~@IpH3^9X)C-zVv}4~Bx!k_EEX zErF~RFj@ZqaO!_c44Bv*It*x zUVhDZZ33$@hE6wKCV{l^4(pVr-ejdk%U&X>OU`OoJDW$1s+=n=Rf*bKkv6}UA=k6r6(Cpm>Kn$b-nsf&i82AWd4`firer>ew>gk ztCNjZo}YX%GKj}gOFY~wDIvw30IS3Ri2q-Th>7s_)2w@QdUJcWU8Ur5Yn#DoQ#h?T zv2|`st-mkgZoY!o*N%`_FIMF)P%R+}!fNnY%=7jS%FJMLRhz6{1HapXn<>-bv?`T) zi4cDFSZ;rX^uT5R&dl6VbtU=ajdhh`Mcf3@T5_A}yU`H-yrYY@Zm zblY3I(~URjo^2Bd1CTX@-D0vgfnU+Y8U{xF-E!9dOV{B(y3QM^9=)H&Kr&P1zQ$#0 zdi2&&m8ND?!3e}O;1UlCD;|i=umkzWRergT=3*zb1pyZVP*9S;2`yQNNq=&c5kg4b znVa3+rx%%vVS8p*2T}NdgtCp=_-xSX&NMIN=F}^Pa4Dk6xb+&X8xYuXje&HDy6K8_ zF*%9&k=4Bq(!4caIuLwy1ZhalBvCJ)HElj{=P}=edMFDLOv-*?LWjYMl!lmu_O9wcL@?Ck_FL?jCmm4!m zgrOPd{kZPj9eVXdzeF}PG1#W&;PY0l_##KsNaE?;=iL^q!Q{BO0q^ZQlY= zX0496|2x5BwBOQe_mwdgRKlJaD=Gmm(j0rddgF!SCkT6KGbTRljP~PI_^kB_FW_>L z6a=s2KO9%X-vowzp02RgQ%)2_G-n$2D?wDgI1FEl{s=!t?8xohMb76u9<6sdn~%5D ztaspH)T%#OVP}9Nei9R$?udR-SV%|9Ww5WlYIZjK@()_k1UY zD~B*W;kVReV>Q|Bs|!Sv^IeNXDp^oEs+}t)F9M)UWX~&Y5q_Po`!W&q(T>3jqZbcT zNtgA17Q4nyhJ)p%N3#{2%;fvm;dn>ByfToS4RtZ z99NzuJa7y~O`=jjR@!(m9ylT2rOhk;{v|Zf8|h@VaIECT=LhdwM-T*i@wJNV=83&XY@a6sC@nP|359+_th@ibPzK~<~j6MX=A6|&_TTc;FDzBmTEC!oJnW2c| zTD#O|bJY=Q%`c~`vf9P%UeOPIRw2mhH;_26j)yR~Iec77!(Qa3fa?quZvWn$mXB?( zMVD0J3Sbjq4#4?AOff9^{oTA9{_;B+3Iku%HTm;&Y3(WUpH8egSr1cTPlA#I(P6m1 zop%b&!QtBR!yELX3XJj3yW(!X@m%%>Re_E618iKj2I!TO#MH7WI3Fl-?s*TIZ<$4`FgeBf#dm-nErOd<*B%1=S&K8F8cbXr$tgLcn;eJ zajSwy@5$h*Ia-nq7E>s%+=qpdE1Pp(wCF`z&sIOo+b_>L3~Jpk>0%3iHjeMcK1q|m za${xmF>UwJ;k4J>;S2jB$5GF+wpaf;3}u;LTu>-k+){Pil}jte1XmvgxK*>p^_)c3I0sK6?a08`gQn`)bcn^FXrO zFVNsh>x%<%*t$XPO@8aqx&{~&24j5oUp@fEh78eyS{h1my?uQ!Md=<=De6g3EK!GZ zHpugT0bRlf$a`Y$P83e^aWvVZ<_&;byk#0&zVZtt4M#|s{4C|kshaoT(5-`pm@8p@ zl_>cfmCV}e(bXlWq6hKvFsNa~bB}(TEPjsMV{+ro?J;*V#yi3ejE~};xL!$@eHRSc zA|MQET`=TBKuk{U|NZiCZ4Xed#z0Lc27UgkqrcHpM_dN13z})qu1-US) z`!x)Ik!0~JYEovGF$?k-kQ4aEgl33{L zvxn2y;>i(WWx35YW{#kF*p;$e%|=iPV{3bkd2e&P%esO3TP6>VWe8;aiz8)uK~i{O z!wG%$0iACYYh+FW2~?#k5~)FOhzLM=D5Slq`w(pdL#VSwmAg&O%;o=LL6BaNwnYnU zqJNPeZ#G=s@xuB9;Vyb0%HF0DBEUx3cR=EqDv2SDG57i*+S)*f(k@KC|4PHJt+3(l z+BE@2AqJh_!)5tDQY}x`+A3e47If!F>@fY}1cjH-pq5?sYQi|LX?LZurH?J(wzp9s_sLJzg|M)F90&ZbXQSij{dvizevo16!h=ovT-h8!x^0@T( z4@yu!L2a=omMZ}Gz;_g*SWfIwprPQq!0@E(ZGQoJs}7r<64R-z$0?>AVfS5kkV?s7 zHv9u0?pe(O_@4zpvm29DZ;yAEgdGtL7bolmdR4wMArz?=gJ~AuKN0JcS{N6TYzKH8 zPB~lh&@(I1EL_FtVZ6QnIos_Qj}vtl_#kK-HdW)C4%(u)?92zLb*!L^#4nC;g`GEA zf0S9#^31)OsBzxRS<)*s=zOB28>$9!^&yUb%@9J=hlE}%hc+F?e8M&KeS|SyA1}N$ zxhG7oIHKZ{JidD4gtPo!;`ZmONJ`zd2m(Xtf{; z<-syWI(^>S8B&bFl%hcgq#L*R@vjn+JqdBsuI(|Ic!HL#dtn!kS#u*q3uoXrH+7PHlJDNroLfN)@g>$&wylEbi` zX8lK53!o50{{wrC-1jAdQlEl|?hk1J%3}Nq(T+kt>x#SzdPt!r%5BJnx1TE9|55y` zhs+Slins>2!38d$ZgCi|V3pVM0GzRt|J2T~R_PY=_(i4L{)*ycSFKqsY$Qh9%QK`9 ziiLFFW(q)P3Ajb=_hC_m9FeXMKH|@P1!F8DG zGbMDV6aWR!v-NArb>vBI3q0aP1Kqb)MR(5X2D=CYZbc5o*f-e|-cklSG(skrMK}O1 z7a)Wv&W@3(=jh9nrwc;kZquM4(9KYeolJRs?a+{lmM?2lHI%^3se?%(#C8^YLqy#V zSPBF2ph&c-Zsq^!Kote^bQ=$l?%UW_Ivs?J)o1l3kuxB<~N zG6(`K^hd5e#MIJlm!buw@rH^_JBBtvRFQ)Uoqvn&Z?B+W$#={*uLk-9k*W^&sB*<24KWJc{T2Yp?=mlLMGqkCJZV65A^PAS%gfD-;JPi08_g_fl*J5{8sUDDo5%) zQm$0qP&XR>^Url6 zVEBXyXhdJ%>iw}gJO4H|y=Ej^KPQiK>g0x`XQ5uiRM{FUxJbkQOgeHEw6XS8TnLp` zT>BkvgAlwzuz+dHnFlTvIT0|^niBkQ1d(yq3}n-rBX8kw$60}j5{{@M0@Ni(tZ|9DjUjr-#wo#ejyFKxIS%kZ=D`rY)bO#cg zpDW=m7;p-u`6c=JYO|3cV(_=c{`fxs5R57O>J0jB@$*8?@rlt^B>xMOv;J$F0qIin zJHz7JQ_kDcYwgeO7t~!3GdYUu!ls`R`ONuX1JDTl5|p1j&(~NWAbtu8H~l$0zJGe0 z>xZ6aMY~|GR?mAmtp8BwY+U*ppYDgoCp@l6PEIB)1o9U70IDw)^k@Msk8o`XAcm(( z19{Xi#n}FCYcaB5em&dD#-q0;uj-Mjk^j_dwh7#gnf1reR+-(H?S2DMrXqiAM1Sf>oXHVhFN$8{_?dlkm*k54rNcZDNR zt-J7JUYIANuZ&+nMMZ@h(>K{gq{3>XDFeY;fXB1ifCOZbft_V*xrlHPd{!YTITIkl zL6FVA2yBFRA~;L!<|eParvTMK(ag%px$E8w^MH=QXYzF``401^9&Mzw*GDv;CnZKu z(@Dg0=cy~(ymG9;+b8vpUUTSINsdQLlRTv44h4B+60fh?H;PUVr!Q077VMVC%ZStD zLIRo^lq9-LuBzN`puAPS5**-|Yuc9idN7(iNx@E?+q#|D6nUa%3WGxPqK<9qU+E=8nq{uZ@otHAN?v{7!cXK z3|PwU+(dTi;e`u$Q5TkCXvm?6$dI&N8Q6Cjs-Wk9>n5vc-9;r+iM|`PL^WA2qW11R zaySHydBXRC*?t{yY->(5ihwl5+xg|A1To6@ z&p9Lx!}25GHf%TOj%x_(R({kAnT6;JIed9oV}5_b{bufnO%oQGuT zmSmz0Z>6EL^>~%?_<`sbf*wuV)>_6~9_JN{PIw>(@|PtJLJ=7*y_;ll-bGQSI)B@# z1>s6+=j87v)YYuL5~PWu=q)Fc76uu@GM!2*C*&iA9R@QM8!cq5B5W%&$q%DlB5Je6 z6T~d%6c6JL4VAQeKEIhtP96SLyPWT)*r$OXL2qW*lcIo~TPtumL~$Etxv!BpRx*tdB56hjLj($m*ZRbr7AJl=^UJd|KUreVElXZvQsoDZ!rW)Z# zc%`_+3>S~`KKd}Bkfps-V0cr?-sgW6&4uI2!&GeqitbpvE!+5<>@D?fO!H>*vrfsk z3swScMN_L0Tf+J-(yLr=p5$o3>mX2)cERo0mCc2o_oUyKxSA@VxKC+Wb&6~K0;4V8w+_7&;j=}y49wfKnLx(aNLbO)XI?FBSQap8$R zC~IC^cOS5C#JASvqn8UyZg0=8x%+y^2&s_p#D>;(0J7!lX+CgWi{Aa<(O>?}44#y*9ICYoKs!?S7^2vM9NJuueuF17T9GZ7 zI~Nu5@d#D`g%uv6<$rc%vX4U9H6A&Q4 z6kF`*p8&PfW!CF9$*{+dJ1-N)#>$L~0>x>S!tt=##K}V@kf9D2b!YmMUAW`(1k^h` zQdx+|P>g@n;Qr2q6ZvR$Z6+VUkQz4o>=V0|GUZ!uK;96WV2@-{GTZGFi=?^)kvHQj zE%`gV5bVU%KvjbOGcgGq0n!1#&MF37sIUgd$B7b96U7@qkM09@drJwj0YE?PwB9av6AQiMrnVdc|mOLoM~L}_^)webI!la zu{gFn776~(NdNrKOZu}S~UEB|X<|K@J^u+tU=5d2}$^Zx%% ze!u)Pnd@Li|NmtEzuuWZf+!Ac7${ZnYV0O)goGI*mg~MY-5_49G@ZW-M48>wN$HP{ zO5lV+e^pe4ZJSyF;W@-A@qdZSO{@%2!HI!%Rt5nX``B2b`>%|>x&}7>`I8J{@ZA}! zBG(-c6#jjs5(4b{-%<>aMIgD&G(y5y3KsUWg#8J+hdKyA{?!G7Xx#I$?tfxiH6Ug8 z$(i4Q?|#@S9C!VC3;ySj9tZD9cpP;AzBdQ|<1ep;F&F<=+-j<0tNvu%FdDp(J04 zwDi%~A8w9(<9h;*`V}JbB*vQ;d>@05))6F|bZ$qjKyybt_8FH-+1+aMYmaOLls1)1b7`Y3!c zK`3JN%zX8ysfQ0?!;pwqtw2w@d4WK-44^NrFNGmur~%XBkA0HI2`NbM^?UxpKMeAb z2JR*o>G$kjZ)A8O6@lMF9Pkq3y6Lr7LgiZ`ECf9{(V&`3NIzPt6@k$Bv-PmMl3)>M z*|U6S@0H#sz8Gq=(&|c8i18ppoca0d;;i-s$(hCURw-jdpFgUFlOZ%}N5DhE~PZZB-|@ebGAU?0?lorMFF zZrY=0nmgM6N=nirqf~rMPu664yi!8;U<8Xf&7|A;G>9JEXh2rMtV|m}l6U9R(Ui^Cg=_l2?~ZV>vG zDQqwt?)qt`qThG*_+&z7|QTB2+im5fr#HC+jq#Pbp?W)pFKF-)5OdUBY2wv zceh`!_T9f|9DY@PNvKo|C^Z4}*$MGGUt0;m0O%PMmPC~RSD-Z_{bhMpw~*hgL=?3X zYj#;#kwo)FN*Ww*`+4ot$Lmsl{$i)=hP#{3ql|j2E->GzFjdRfWhyttQbX%O0G`c){`lz$6?kQNE?3RRS&~+Fe{~^t_Pnx zzMt$*Kp8^AeHef0?MSBn&P#0QNvtyG0$|&Eo2DOk@tn^4lSqdum7pi@aQOkZ24W>z z%negriALOn8x_Us1)n1uiKOw}h0Gu&M;xCgQAtSqN+8UgsdRN$%X`t?4lSNE9SOO^ z!S*5Z6mb2|SQMe^NWoKoO-m?Zub)m6Sh4CHt_pd$X*iY|?rwuA1OV3U-LKefBj=`a z=Lh&N9;f7SjeDM_K0Vdvp))@okS)4gN+X5Ix&|j&F}3H)`F^1`d~24olz`Q!;;uF# z_vidR*aoTr`=pwln8}--^kHTgRDStkYsT((YC`}f@!DLOr~`C+eNO9HP+G_?iY2@I zW5LZEtM+YoX8}e5{xG_yJiF^n$7Y1d>DvI+R_nB@{OI^h4O~*77WhAzD}BFT4=6pC z!ksuihGJn~f#=CKOe%6ams^I@pZu1JkqK&=?2AEQsK65}5{&q^*m^p{mh;S!*|ImJ zHo^iB(4r6RsU&?{;QHU$6>;6&S(c=B`AJcoT%A*?Nh{1@gT{H?h2rP(3@~j2e4vr+ zrlxaM6xFL<>R{|9rC3OdGR2gf{bv9AMBVw?2l7S9PT%~rfhW_?N1Q5tp|nMG1_!{F zP$lY~c;NB;>?=uc_6&G6!@2%DJsBo2+}@+f@vKU8sp*hd2>mE&6N8`QuhVv7{O5dY z^B#RCikg38pDlXjhrt5gTv|ylyPM|*$Z_K_u_HbWzEx&M6Hm6%c6l)}cBZ|2xhI1Xjw zsbyKQN91v0D>;P+^M%%Q)uGNJ!nusM_q3&*6Fy=b3$>2CtEZDg3*o|@NqFfbAWQ1<*ME(rEesf$oR`kbF)MYIs%=BafT(6sj#PjQ zAkFzMepAAC zvFJ%gg055Eokrfv)7TO^#8Yi97lw!l(m$J6K9$IF<74_`Rwn-2telUK`n!lqGn80? zNXPk|GN`hxx0>$KIzuu8H6F{{V;NHn%x+{p+L z;VOVz_bRcm*^rK_6qmaT5W%;jYuu0nmr(2m)U0EIH<+@7Vzv3ddAcndE-#SLpIZTV6Dg4p}h5_E7d&&_h1P5 zu?TD^COE01yZf{|m;gC9(Z72wP``D2kjB@x%3VeQF9-ZYfM1_W76a`eUVeX5kS)5Z8@Y%}b6;xH zS@lYUepuj!!yUMgRto(^&;dHv|JGCfxty18jb5iRjh4#8DNDx7L`bx!Q{EqSqZ2tQAX&jWk?JgP{?LO%G*geARx9WuVA<%#$%M0Ig%jlxFol4OeF)vEOEb zBAO>wmQl6Rrf9)ZmMI4Gnx8`PH&o5H?ab;GZ~Rysy)I*PqbsF9|S^`B06% zV68j8Fc8fJM;UiLh7^?wG!ymlP3Uzc?RqQT-T}35afKUAr_#NBlwANk57EyDfwKORIUWf$78Y6!liQ+tc3kTYTFoP-6LfYDNy^h~9RwqYFf-cFyGV4FTXR~PHj6L3yFWkPKpPkRW zx@?~Bpwbgdo`)?RBmxDUl(YQxDyXn9$g;4|w?;P0HfVrk>?|hG{PWl((F(}i7#F(U zeOcM@+UFI$ObY;?iv{8LOiH3%lKertX|T&8MU6wCtCcAH{2gv!2>lRS)jilk`f|7L z`1Llf9U>G%W0i+*awOv5{iRs6)ty9N{o8Sqm8mdQ&m*GS2d=Z@h@W0qJu>0LKfaQ= zv)Vj*$SyAjDe$<>UT|NZ9wDZCpbk~s+=Mt=PU~5+=Xl$|;`Zy1(IX_^f9##Z`T}=yHoq$9UgP zRmiy^jd>dSaC`PGP5ArlY2GXfsxIkq76ALUknZkovbw3%;B#ygHsN5f^Gq>{Pk#{4&{_#jzuO&lf*$`l} ztk$>gwz#s-rkYx8b_2vA*ZuDp*Zwo{PpUH$p8nixqqv`&?Lft6*h2e@nIXW=eB`d; ziJZ;DSOuuJn81c=1?nzT0LMm@MS*H<~%WCrNP}45+JRUvn7pxTX45K&17N} zIO{6jR%4j2oJ`NYHWCd%L82Lm8YH}(i2IrXYopGQuIE?4O<1TWv&@6xUTTf%_|(?( z&OqajMFxD+|7(#=(z$bh*W5HK^l~Eu8+OJ4eQQ>KcEKf4vmSIteoJCXx+1b&ELF@} z946L8ig5gdl>T`cO3dzt7y)$=>7)a9DX*wH;;Kt@$|m!6eKv1zAjdF)jZ05?4SFXT z0Q=RzB9%}#BA;E2;ed(ntjou-IL0*7t%OoC1(xZ%z?b`56>X1=kcE+wwZps@Q;hHL z4);c6SBkeI`hU zM#A4FzB4=({qcX&#nKqSigx-x$+OY1wzc+t+tG|s#wKFJ09SUYmfdIS0PUJs;J~d= z)TnR##lbER2jQHFI11HI1+^>~oL`lm9&fC13Vwu%1^Bld*S~v}-Tpbfbry?<6%Q8^ zF#its)m%I@@+(lv(KAN|4TP%y(wQUNI)IIghqr z@-vy<^}mxXDmSh30qR!Y@-(BaCdl8@?Ot>3d!wh;Fe2FrxOg5m2wgo$;&+A<$hZnq z60HOld+Rb=tV|cy=|Ztn9t)Sw<4+~^{)zb1UHRn@z7!i{5}ueUth?-~Ao z-;oHg=Z%&!098vrRn9cf?ELclX7jg6veS>-a(UMq1R!o*F$7eEXq_g?yHq0jq z@7Bu$+GWqzzXB29S5-{9v%{PPrzEH&b7L?W1d6T9?VbSeZKSz6kc(TZ%oh8v7#a(F zrzLb-*r1nKACAS|fQeD@f|K5qWT~r&Ey%W8xXh2O}pb4MYc=!{b4hYcg}-FZ(G zas+;Uc|dwXKwL}j_nbVV$#0&2Rh$@+>4JFk02*LQ={%SSI;da*lXIc8*pg%DBGOL< zKx;q&Z3qx6WsnO4nIaZpk*XT-bb%=7a(f&V%u0IvWvjPOz4PZW7$58`NxkOAWgh*F z2V6v4E-x{+!Azq0(o}P&=Tb;+(2%tzBZO#UT8_EVA-N zXR;x+IwjHEH_mhc0*V5QEb-3v--=TTV8_uCz8O8pybi2le8(~+NF%jcojX@>CmBMl$h3oB_ z`JXjyDr=iJRild3MHQw~2))5}a~4#p7hLLNPYG@$t;ct78cU06U7G-~wYEH-n}v-* zIJ9|VHvFGl^RIPai$G*#jPRE-`tp%gPakBf%*^(6V9@NbN6#_Pd+XjUl;6&~E}ik0 zc>;{UEYqm7kL^NDsEVk3)L{Lu2TK{kC8!I@dwNIi6mns0ZJmChI!*5Y&Qrh#FUy00 z8&T@&b4K%xIS?89{>4jx$7389F^k6!h|r$xzLjBN1HK2&2aS?cLgT%=+J^JUcdq=g zA!9Z&QX!WNbM`ZyNPTz3M;@1hcctdv&adS(*}XeXIcR6U0kKzY+JDDhY_f+lhYmQ{ zup}2~X8N0Uu^yoTT@@%)%;%H9AHK^k%&aGRzpn72H0S47r5T(!Bh&!2%3{0%4=@|4 zc4jE&lL_Qf%*JA8x@_B+NJ292ISNkW#iJ!$wK|Q!Fv5C8RZN#ZBAjkRMQ40@W=8E7 zg5?jZu_DA(*ptMbI(ZnKlJeowkFakR5^e*?i zVVL5a={nW3!{1HWZXUmASZ0acg7#b|lXWqU1>n@zF<1!@0->>`Y`{Mm>S2F32?}6$ zKscGHOw8FIQEt*JZ z6nm3-phcyY&JR<4mmP(!C^X8y>=S}HAQa(G;GYLh;H9o7|BIZ#y6 zkrc|OBbNR7YOf%be?M7MiCmtfJ4ikhmP#U2+;&GogX}GAfDcBQCCs@jv3#_nJ^wn2 z#SL;)&-Iul5-2r-+qrK~qX~xJ>(Ng_?0V-l3hHlv-M1=kw!$NmCY6N4H?~?Uzxek$ zQY?RMKN1e|c=l4JU(^Ij?K6O4<7IqDf}GWrN{LyiBy%AV2Hs(pBPkVie`2di(;_j91BLqsr~d2x^~TH5FZxF*K7s6-JCqv{$JtX`U6KJ0QH_Z6 zIJCuvvG1P;t%Cgy>hk_CO9d_etPjlLx*qclZHodQKZ zLW^`7aWD60&>c#YKr(5?6mt(`8aI1-Rak91FzkPgPArLTJ1Dd_xfP#oxU49#EB*jVrS#END zg`85PQAtb23iQJO=uf3*jY^Xt`5bXjmF3KE+?Fu=F|a*l?$_4xuphgPclq)#G>+H@ zuA8s0CK|4JPcB>1W^mwT*W!uOGx5%I&n$yrHSe1(!;@?uhBUr~t=IC&Gm6R7ZR8)J zKb|h!m){<+riyl7%Zpm>n?5!3mHxcjA|di0S{^`!nPQ00vn(yoMg$cuBLHVRP=Xcd zpR-N$vgD&Zj*iyp(QmL@~&Cm$@&A((a;Y@~Jc<91)32Je$F ziUt!q;48M6FidfE7%^UU3LMB#&=vC>L|D*red3~y8~m|ML7QbjBId1OhGt%G7qv31 z`;r!b#Bp0Uxfo8>(Nw9&*F*5iuL1`Gde6K1P5=dlEuhmCyi`zc@_r@(SVX=6Mrpp* zCc0T2L>H9Fh;K|EoD0b#3(@HL>R+nM}{)!=l9 z%*4b5&|cmEsaFd?ZRbW&9-povqW zdg#ga^I$ZfJHC9LDpc$F-R6G^P+IxekV^r5Hm!35AkLvlt7^BEeptn?cB7fB`8?+b z^oeDAKR;P~_Po1j10;&0Rpv_UxiK`3j1UmJhT90R-9I6Likt9S4#^E^>Nan@!Bk!k*Rj&n{_xuv%0^MA14cY?$6m2zu7_j!SmR~8wRkgXp>Z$mK z?tGYvrrOit0xso=inyFndF47&jvW(MDvTt5z!w}I@u;r-TG}@`&kK!zfsOlv&3MAz z^g#SNwb1UdKBCX7f;i3&3c|`GUFxW@+&+04*cQB9z@vGEOv0eBGswMa?m#qOw<|ks zv2IxTXp&mQLyj3JzCT?&R#)zQjU(GmLj;Ih0o}&VSoTT5n z^czP3$riaD^YQY^=gX75|2&IPQd06qlDf=Z2uPy~=;06oMFB!>EVF?Qm28T9`}+6~ zseH}qg1Zz|*oH?I0jgUEs$^c*ioJE8?Wt(hN{V0+&y@si#}Bu*au?f^-kbXY3VCXwc78WEx3#`#Dr&V7 zA`)H~ANT8{OhClhKYn_+z^T#$*in^dVDHzc{T7#&VllFIBvU`I_Zk7Tti3njeQ4TX z^L8>5L)V#6DCpE)ZoIj+yEJGj0WNPP#qM;~{6c$T_BUTeNz;n8YR$IXS|nx(w`G>e z6XgxX*K{eG+PfuZ*Gf#>k(K+KmWb|srlgZb6ol}G|yH%Lp!$M(@5SiDg#la+(A#ldBa3_qI7H?#V6x>O*dzT1`Ef9mT_Y* zsms%QA25V&-E}(&Q{v@)WxkUXyESrD9H9d)Na=Ct?iQhFUtpZoh3*SrAU|ppbJcT5 zS6fUemN-52}tD?!Kc|V+rQ9$scS2s3t?t1GYf%aD;K%wq7Qv`f}1@$n+#Mn3~ zo%Z9!T~OP#$Nkb)Lx93oFqb0{P0JDmNV8Rr01dpwSt~Hy=MzPyil66Pt9NVvhy)MS z6E;_F0OCHI!%!A;Ms+4Im#APQbRuI@L<$=WG+X@&BjlVEtMVF6YIjAS=#6^UHv6VQ zWef~K!N3wlV<4m#dzpoVbQNW7^l2dOQmr)861Quz&TbtLaU;Y=SQ|&NztwXeDRg4` zw%KF4yHs{@98#*K`fHz3lxNrIoi?TMrMsTYMy;}*d@ECYC43V0VQ9{4nulf-Jd(8b zTsA4YgPNdYvZ5AmIgfkOS?>gNcqAp#o%@+$A2%ajKZc1ArDdLe9q|`i~ z^@P2_3OnP$Rp3^><0rNe$h-l9V_30`qk$3xv1?#HFgBJsJc2$f_IG#EfUbg8^lL9>&Hu6Jww1w=6ITDR#RX!%Z_9Z$n?%|E-ORPY| zF0^8}D)8tJ8lXWz64gvN05|y4fCD3Q%CD6MM-)azMpYD0FutbB4!@{f&NqTE(m=%h zDgKdE9!{W3dYdUX@JJUMpF%Q55KzpkC}`T>h+J0#>U)~8wm&T+pNMmQF&E7M_sCS} zVH8MIEd-Y#X7<}o-=cfV?HVRM4~J6owj0ag{W3u#V|pQ_o7!mDoT~?}j!$FaL*}Dr z+WSBSI&USePiN2Je4f|%*m$87u6I{aULKxw;Ue`ZQ+C_8j)P}JaJrU;TUY0nJJq=~ z{9dl6Q3!Bhh*8j|4XNk9U*6kx%nU-5$7Sw%R)@ZEziCr<*L;ck`VG~*YD{oSB&S~M zFXQQtuBoGK-TMJ4C!Q$^~64DT@?GKDx%|~!kITY^Zey_IDYIv!EMb&fn zu_1Oy=$=D=Kem!Of!4p`3g62_J%Yh%V!pjR2$F@d$|&xT%_@x@l>%Wy^Z>jR+Hl`E ztnP2}pP6O-z=rGHVfg$WT*K)CrEC5-#5y_Dy7*#k>WG@y)c8dpaLVF@N~nOtQr4%B zSYQAG-VU%VV^qGD$bOCx?oAQR0lM3Jqp2c-oAnP68Nft@#ken*#$b>^-Q_@Qjnb5y zolGG{AciPh&&M&y0J{HrV#JXq7L}~>kr5GR7m{e#^V4;!pm2a4_`zThwO(;HlHy)e z2rDZ3$F;}q*c<&6Xf=&ZaH+!27tccWG;Wt~=pBD3BvHbV<0*Pty1WMu>NJ zcKklxrd-?tBQpH#5S*!_vQkDH&e z90OR09Zs`mR~_T%HGUOa7Xl3nups}HH_<`{!U}?9f^@<4hwkRLqlQwmV#uE~-{S|6 z+N#w8Ik=u4F%4(4$JMxB2j{>%fS4bE6rIh&;~^yuJ(&DVzp1w?1W$$ZjhKj?kkeP( zC_t~DFX*NzOKoTd*B3(*T@Z0O5yk?hk~-!N>>W3nKT>;IIrcf`DUI%t3yigLM8Wpw zbo^Dma39u^Uen~gwM=U7?Hzgc{# ztcj(ouITSOhbPUad!vIStMN~R%7&-|UyifYy{;1Gtt=(@UV(DvO<0%tbt*r62n-b^ zrlo^AixPE2W}@Ex-Qgl;HIr-F*_VgegY(9K8$N zYW*J!28I=}r2y%Eo1DO7&KfVZ3I2$oRo2^8d@fZ=WKe_Fm{sWdYTbogr}y*EUycoh z3Pp*MM5I{f3fL_A>4pOY{L@!FRcC*kN21gc?aB+&FBWo@P9O84EJs>6r}D6wv03+a zIim%dS|SK1gfzr=WaC)A>G6h;S!zlFrm2+vT`R>@y;1ne6nZ0*^?0g;g&%@WWfIOl zX3+vA%m0bcex(6|wL$))5`niOt;9{Ga$KcLdo@CBlW%PAR(0O%ajqN(*j4X`4}V!p zp`lXz(5V*f@`$tnzhb#?jz7IJR!;u`UwYYI`k=5>ZlJY_UsN8Rxg=*U$J^;t!c!C!ZxLgKoyTj2B`}sO~hni z2o=bLBFnC@lL^-{N%#WKx6>K$6!7+yf>jwsY1=i5)@LOwcTJq`qYa^??sL(ck?1a| zzx z$pUoT=1QXCcjgiH*$iBN#d1N8@_C${&7rHHl*ok0S5}`7UQNt9RZ_@gF7{G$$v!%& zg$130A5#nOD#y)w=W2e~vGL~^Da6Y+NW~Ryx)K6?Xl1v*LVM>SFV2s^u!ZoL!7ndedNs9G0IFiu{VIhVYeS7t))t0~j zhSqbm2PbsaK|MA#AqRTRX}zWpO32{U!q0rEI^?LgOCB`XpAhR5phSt*6ZhFN?Yra3 zu99Ar+dJxRrR`_#BB$~e(z*JV$>5xN#3<_Xv|hn~Qvsn!gS-vs4kN7Fx-69+*|<#m zGmqz$buNQ~Ee7z(GO&1f`FP5-psTQH!U0sZ=arOj!T0ZgiCLpg zuUMw}dlt;kF)OVZLeVqxzmvm)!7pn&s-V)fKP?@R*~RiIUa2I0&-SkT`Ps$f=zvwc z-t-i5)lex3Ur6ULV4*7vWGMWo|IJVcA|`-=!2nSiD~}%+s{4O)Qfs#LYe_jrL8zm&5D*3>=iS8r$w-lylh6{a@2dJ+Ya#D#3pX`d zlM~l#_(!Lbwx6v>2}S9uumBBk!h1>K^0jTrR{%-tHxs5dR9=u?W0G}`cb`%3TmEpl z&5wUrKJ|G8ZDCh^Q1lzVgz#H1rn-jn)O#&k8F;_Zy{2Uz&xQh{pNi6t?0K3$_jPNwBI43Z9L(+sgXm41P8$S5!W z`AYeKmoR2Bn>*1Wn`$bqf?oWZ2~;$NY_F9(Q67B_HRH?prQx<$=F6%2`_83zb+-TV z)wg&B60P5M`@x!h+RJ7BcWH*Xr~Pv#`xC{#G>=-X&(leNW4xohi!X-n4mA7bNqSfg zm&}-Ysv}Wd!jJrhHR_)egd7D_Oc&1F@@IB;-Y$V*jHGdilT7Sg33bJ^^z@={BW|t| z*ByCyW!#timAykSbs$hkCxYf3`M>VEkRTSgfx*Tx+Pam&Vn}ahPzNJ5B=&l{zv|+` zfa3GA=aX>_zwF}f(I&>k2$~cYQ$JdNtpFW?(^BFNdc*KbJcuU_?Y67)~N3J z+Bl$P^4^8?z!4i85Ga=IA7yD-}|U%v-3s$kV|yGy{fs2F=2#sdBs#R4$ZpQ zIls+8_aogf(uyeV`g-N0UUyIxJq<3%-IK{!`%j+WB^kyrY%b|s$eW<+*{bC5)gy&d z!>;Z`lI%%pYKt2qYv-TfT~-=8r~&G?o}mH!%@(+b@ zq(Jh1c+YABs7$|P0lfxr!WaZ^X8g0)r$sL(nbv%R!z{nmEa{N%I-<~CDT=?#D*Uzz zQCgr$>|4<99IaP*J3w5(7Dvqs-=G{M6{meyT2E}da#(14)@Btw1bAFqcM|)^3-won zXSXkk@}$0`Fur2s9RKeb!UAUi~uT@u%ti0X1Jbh-6x+2eo zO`JwH`)H-`9XHClt>FjeJ4|{HMfE?+_7?U4=u&v)U8R#-RX+d4(|uG~MY=HLximJ9 z%S<&tr&Z#EPH9{UZ-9A_^ZrV;{4?LV{8r1#;e$6-)n% zJFf*bqm{4_lYKQ+RK3$kb7SXfI#v1Z(r*MH@YO>uqLs&2V!sZx-<4F1hU z?+Mi;_qSh;`1$0_B%qE&MWU*1WKphv9dE5+jFAG&?BKe{Df*iLm}U1h4{|cktr7Z5V~;f}{B)tlL}OD0PxzMUmkN{rSz8y| z0%VR__Sjy{*Xw&jN?jJRbm3Gsq;s0030vt)pV7|l8ooQKD+<-&M7{-f z+8hS^wIuJ&T{yyKEhR)9y%_vb?SmToZjs-(*uhc`Y#;+&W?{0^nAQi9X3wymW8HhY zV+=Nqiu+)UYr^j^I`IX|cs;`3MpP$%1@M|)^KLz-jQmrsw4Eey24VjR9;8fli z?cb*gG{3{AYVZ8UXC&%(o;Ew*Qhdwl%oDtEs$_5|!6`k*H@I~Q|2bkB&`Urj^EB`N zJ%~|hzpDHjnZxXe8-6^!eQe=@I2%@CvLiSn6!eg((lUi^6?#)@a9;(jVkB<5VX+%Rju+D<_&594 zE2vK!*ej$7@$*6w@-F(17U0F{5?RA6+B6%0*?ueIBwgK_>#9aU%kS}61o_HRp40X9 zpwUa=&_jhs4)n>_uGI@c9TEX1Ba07X9y|2 zSr=vTbgCrs(|k2Cv8;%R_4*NaaadqS8PVL1$6Jz4q>;Wg92wl;En?an~9Q z$=afOmyHYaPp-1;E%W6sMhX(Y=p(e$T{?)9Z#yOVM3RY)0+$YDN|QIrWjy}1-OL&6 z=i2eb^18dpDmk7&5j8!!k9V1=ep6P#N!CBQz?k$=ns6!aaA*wGNzV)k={ zA|vaN>fbeWK_$l`$125Ej5e0;LPO~So}fYV7S*tVu><6~+Y5`xZp&G(!ttfikM!Wo zD{aZHf30H|k~Cl0gc>jG7!!)X?il?{;g5Ey3J}BXs zTeRK;PSm27VM6CPP5Jl8dm%Iml*=!g0_jbjp|sINA~}4(wLs++oX&8U_=z3uzR)pHIDD?TsHI^Uy&$m<`jxiL9CH6<% z8$>QIF!;LOQyH}cgUXjEzY8>DZPiY8=~ihd<1Jsy!v0Ltw~_(|aH%;i`qTH>>-W^7 z;a5bdhGsM-Tcpg#9DS`B=JUJM?k&;y-)b5Vt4S}nzEa|KhII#Kem_5w468h7!0(h) zU+=lrnT%vR`-9~)4JnUTtjm`!i{17D#Zv>L>9;tYj$RbAi_lG>Dc(<~8I3kef4Z>6 zB{Lj3mNX_I4D98_dAHWclSWBVR2Pob@sh_qU7p8u$>j?ipIS|OG-rgv_^;rzenWE+ zccH$O!f}lEw&TPp{dU7E0^E>0F=r+aIO?`9zU8k2_ooApMNlDQr9!bae5bL?6r)6m zN*qd4os=bhH|X2#wYDtduu_MOzS4BTcdDJ718dFX=m*IV4Y=gfU1ogB#*Dz4AS08Uf->@+a0`=SHsHi+rC ze8`Adl6eI}d(mXU`z4`AOr#s1fS z69i^Ese&k*M{19M`MDn^F>roW`5B~qinXV}z+0nNef=~*6@7SGb)hOcfS)>xQ2h|Z zls;zFOn9Zc{#vI2d-3#5Tpl|l0Ls?{y5fdMj;bdK1&wv*rM@$Kbky4Z75zn1oLaK! zIJMI;eW0yC@0vgHI6{OTVPoVsbbM|g+rde#Gi*1b)j)2UU$}X9Q!o?aXe{FyH*cv{ z^T!kPpfFbc*GPd7rO#$_@xYm5q`|>yp9(Wn6ihuYvB{QZnA*|`w_maM;eTIM+4J43 z%BgoUpP?6Uxz}Wdr_iTO=R^OhT9Q{pt(oPLxKXb2EqzoHn~W&$A4$RBWkNvxeI9J1 zB@JfI$NLICc?!K$K}UrbizoGdY|hOms{=gR*Yz+*`kUulnL~#aslc5Hwk~q%P2xqU z$mxCU)r}wNv%4OTp0Lh>L>IwORZlDhN8K_Xe`rpVJasR?ng1H6`WYO8B~SN#XHO ztlYUJSh{41UjCMhXL_w-L@$${KR6OtiTU$vuu(`SESJKJ1_V`Bx%QM7)M5Wo@hRz} z26@3|X~cvY7A3vz9ha8Ry;Cs`nxW|8?L(^iM66$>~c$4s^!BeC|>>F-Kg&QWbiD?HJr z-AHFdrwJ~4)NiXz!?T6Md2OLTDznNS$gi!`Z3o}U-}+nzPC7 zVC)yoL8nWOi~)o>F4PHa5*l>K#POV9bk1!{{~wD{k5&rJL%00Q=#CrBKb5_FVyt#&B3W=Un|kuhOep_puk zp7``a>nT?{QnFryWlXqz_PdYP;dpb%@$O}w+R5rfBlBTxTN|XG04z*i!Miyw_c!MP zz!52r7LXfEcOy+u^ke|d0%Yd zG!$tCtk=3iv)anZGl7E16JS==>Mf#aHg$6;jX-9Tg1 zE>2Mp#1Qgdp=1U|Vwp|ha1TL?)|y4jx`9LLJ68*B*E8nc!}BT!ZYNz5n-Wh-+@NeRrKhs z@EkOu62~KrZWjlK-N5h?L(n(lh(-sszmW|X<ZL_ql8+_onpkGX>zhl!5M; zQdoQ%{jK+@z9u*bF{;eX@JDI}Mnb(ajLD%J>7*01Z)`heYrbaA{w8ciu9 z3=FVk0RTLR%L^HfaslF_brLjxe+C0)RrYO@s&w_CTL-a^gCOE8&C8YrV02kGFuDiy z?jvfG%V|4fF)$Y4;NoSR!9S{v0G~%J#8Mn3AohFy+=ti^|6=73C_t|Rv?M4A-v?mO zi$T092n1fePm$RF&m#Fj-twwRi$Y;{fw@j(`ZzB;oVDomOaJ^oRX)t`5`Q;0K(G^x zkw%vbEYo!5+vaj6n6Jk*9IWou!N3%bQd6~$?||?N*gORvL6_2mV2p1t=!vK-+K4Ah zvI)#&UU$1xz-Tr?0GzBk0}NYj2PPr;1Lf5@l_Dr&l&$Mvj>3Q5T8Ii``Oly6^E%GS z!C)pAv^xcObo&Bpj2eH+N&wtwtlCoTao7RC;)t|*Ju-jU5U&o2YbFO?`U}-3qJQr; z3Pec2pM_9ZQwUM^FPbUBY8uf)p4{%fv@{fNE#ZjxG~A9;=Xv~+GK|2i;$WLeFR~Cy zcV(j&SoKqBezAMPlu3TDnxiDeK`a!1>@hZ-e+DgrM4&4m>eXnzBd2n)JZ>x<*ZxAb zOTEi20c~AOMg3A4t?kpAipTRc&)Ih0rwWNmVdH_Wz{q!$R=kGe*Ji_et+mL7_wuuOjc3ZLSr zB~*p$mQD*}(rYoC^*Iv42IJxC@Ba{$4Ec@l0^a^hJ;zYCW=ULrTBD=-lBv1a-vi<& z=o5WhuC!&i!06oM_6U#UE%PFNyo))*R1Da8Iz;v)rt$1&#Lo+dzMJQHzslwLJ+~_H z7_+S>!Yw}8cLx|y(%qh%+H5eWf|i4vZ;~e$XpvC~-}-ZhsOs+>blpWLpuV0BpG0M%}+B}O)IPo!m8q_D^S_?EC(W4dep4@-`#bhKD=^gy<8Q4>U0$`rshgz#( zmHpZ_GHarXz44D>Mvq&mE~k6!A8M?#@W4}ajRjYC4pu=Vuf*0?-;u^JX<@p0kNCEd z-0o04%-Afq`53I1J1iS_hMk9`^+b*-MY4Em){%1gC8_jhf4ODdTUy!llCNHBF!xku zJT7`7aoS^_rH(&-ek!~vUM@p>zF!f@*Bpc6t!yt250PT4d;o-M)dy#hXh60~6-6Swz$(#6} zlshQt*R;;j9;rd?99AT&t76IrcaZ-_X$Zv(>&_JS23~Z-CE;sXD8Y2`kxiiOVoW^% zk*!XWA57s|%);QdH*0LgS^kX}wQC=*zuCZ0umt03zq(n-X#rDXeox|Jtru9G?1Zm_ z!!eV)N_)CV$9W<)z*y(;B|Rx$91|u}6krdyR*>5=YE0^3b)_QHT8aX{G8vF69QfR7 zJPdh=BTM}fcE=~Cda*x7BGx2pG`A;n!e2#v9$z#qaNp4*(-CV~JKAWe#e3!Im-b3* zweJ2SV7kTXC0##jeJkdF6)Y~m8ErO_!k^a5ws8Fex%$Q)%;P-rj>~DBkdLRjeRVyL*>y`; zn{U%V7y7xS?1dI1J!-LOxAp!HE!8kyvge3|C75X6f9{5MU%^tL?33AT8davWOq<8i zv1ph3BjN%TTGKB$(TO%o^+Buax$9j6Gx@rGaB3whigDPo0bEhGTID3(-giYU`;)mp z=U)a1Z$yn?EjHMbnxY@er`wGmsn<{{=1GPdOJLFo>04YXR{~>FY%jkY#BjUZp0VeK z5{GUx=^Aw2>~gto@m72qhVn1Xletez&z3oI?yQ|2+@ee^_X@c0_T1f`<86F#=$bWn zlyB68YaMCzXxm5(nJg&XUR}TIOE7395%BQoTmP7^Vo(w}ZN5l?wx`wm*-M3@woTptz*(e+%FPYbJb4Y z4R#!d@ZfePWO`<5kaN%{`}4M%s)ZbWDtQ0v#^BNRZc+5Ha-@$(hclW=CM#{b;8Kfb zfN}sIISMOpWcN8uI;H#tKfhe8W&F>x-HBXPEH6#QVBF!-ClUbZgyiq$=r=N9N(oFn z9$9kt-qoqZKS^sf#`)w+qn69nKl3>lxQp^d(K{fS0EbyIlyF(DI+k0{{L|yc3J>Lz z%*IL_#}Glj*PC@==fXAFz?c(#&02GW+z~CmYb_j0cQ`pecEx#=iW9dRi}|R^a0@pPx`VgQhV+V5bu`nXiCfryfh50H9$Whpm`3G%Pb|UgQ`nuY69%wT2SAx+37Hi9oL6Xn}3r^J{^?vpc zVdH7P&Dle*7yI$Us#rM$X!ASTbV-~(GZHp~I!&0S5eJ>Y)yY%+@2Fl|C3DJKS?mJ* zrF`|q#5qANk!$P@uUI?A5OVX10u_UXs!x4-AB#I{EEGuryQaEkG4qvz%WIra$%LtW zoICpD^tiQHv$}deNERN?0(P+8#5|0{at2FGE=2)1NSWsQZXh%>HtN`>t*Lc=<@sp> z&~r>Pw>{N)Y)xHdo3qX2FPpSVo9LI;XErK8A#kS9jh$}&HYDEm%TJsgFJ*c)O@;z_ zDE>OD>8T`zZhstYZvPqa_Db2pHaZQkm!$I0NDTmq9P>8k-ZbQ+ zHbh$OH9ufJ5s+fTV}o<&hZ6ZhFu`bh%CAHxuh>H(DIJlk@#9#WksddK3mZgJEUB+c z8?T?+$5jYdH_K_{Uo_MRdl)|BZgSetzd;6dcyV_=*vutXe z`dRz*FOjn0vy1~9EXuRAf^a2I*hUsdV7107i`0bIUX+ywqu zHXWH^=)iDu8f{vbwW&1Sj8$MyTXuifRM`^{9eb}R=1GTh9xu18|6-~BUEzGrDkW_E zlKNvOjNvj2W~AH@Z!sW3sc!XQ)dk#IFtP77DgRphZ26=>lLONS$1UEEGLyH;$Lh7S z8?=dZwpPly%`f?7^~R<0T6(7To~|*Z=G5E2Fa7!fvIz>s3Hn8bOqn@&)Pc zkVd+@yF(-d1f&}Tq`N_oR=SbyPT?-p^WAg4JI3WF4EElup0(C|o;fF)jK@Yp2}+DY z7wJf$z0PXzn?eOo5GTmy*IBj#LkfNK6i z@yVM_10|bMJ$(zYy_Bh&I^&0D+n??{yM{*eFYqW+lvuIH8GSO?+z zqpYsq1J%dZ=Nmp-@s776Qs`W((4XB?a8Fd(bXr`)VLE8(CTQzzUwU7n${3jg4|?Zb z2>#$Fq||8+<a?^G^OC!`o^GuHiF2s_H>8$zE4zDr@4=LY z0K99??V;1j3WKMxs4A=WVAGc8|qrFJw^QXm`o5fM(Q6{oB3fg%FOS)$t#VXLR5 zb&T1hr2a%Bn&=y(h^Y-`dtF8!9LN+|)bMR*gA&n`Hef~j%he~CP;rcKmaNpLS=2Lb zcn3Zw9Y~(k0x1>l_nqQPL%-3&G5{Gk-*9VZopkm7KZzKy6(bnsqJmf>%pZ9F7aE+BN)gP^yt&@PO3hO1U2DgB` zSv)SBb%~`?Poy%FH5VFGM9fbiiEIYCTa#^W6z!?bklL?vgL-?{fFH8+4XU!|p1=?HY;V0*nf_(0W zxOlIV`2*N=7u0%wwLE6rE?awS9E!%=8xb5%xcio%b%;M%A_61)F*8r*>*(C&P8TsM z=habt{bF3otq6Y0r8}erc1(X)>6n3=^u7)d3z-)!kh))8*bMNs6%z)n$ON%%-o2Zna>ZgWG^`3a zQdZy;YNg_^q$|j!icnYa`f#bv^Tl$HvtUnJy|!KDkM^WkNOl@N-|GP1RX$olw1b}# z`kTv95+OF6%&4%6MR_MwoZyeUWAE(_FCPCOL-aEXoxvKL>m1!2P6?1oE*G>^E~I(3 zD5H@Qm#9JDb$G(YphWjsC9n<-qCIwIsUC&CdBa4>XPJ!m2$lFuTQWh#^3|%bWR7qv zGK^)r=j|j*=VjM^V`K+Yp=llVna-bP2@#A7+xXe=`3+dZ1$YeOlxU{X)X+DsuDv2p9BXF(8KbcC-nM zZP-cVh0)$tU52(4?h06H6BxJnSC|pYLObZG5`iMeUvID$i zNo!QRP7#4KkcQ}sZ~&#@3OC{kg5?4eY9OqsWQOjv!d6Xz!)^iRUQ0bny{0@#SyPd0 zZL**H8>iCkn}2^u8_zzV|Qi;@|D5%1xthD$l%o9Q&OX zlyCW_H=5(vlH^_)%7<8R^=p6em`f_YNu{61nFw|H$-Kz*wWY9V=dx=>UL9hPnA&81*Nh4Sc5@5r zgWh#|J}lB6|KR92V(6*FYTOHIJ_Q#kCBIQ)vCq>%Nam)B$N?|zKSpn^XR-3FN=Wf} zu83iCvlla~=5_0&W2%RxJjGi$qoiTnuAb8VqPPo}gD^rY?TTD}#J*q$ud@!$)iMblw?uV1^9U4l$|>dWMZoiL2!1{ zZWrCtf?~`OQ)`}bD<#I6~F6HOWy6%;_Jh6Gt1YiuY@jD zo^(=cqlXf#aPA0nC4wx`)hqI>-|-Tv1Us!0^NQ)8S^#Ju?-Z*kZAY-NcS$PANaSu0 znK!yZij>Kj&K4nTOrTHIzJ}pL*;X$NY)bp`+Z~Vaj7OVZ1AY|BYuhE{l~2C$JcoZe ze+?0E<1-XyV>;{a#>R{5Qz95haq}%_mO`?&>ezYp%F-&hRNe8oCcJnk;6(Fx+{i&O z;njHP-`ddu8MZV>t!-&8KbqwZ*VK$68(GNRstWB}l#h*}Tl%~)TB@FY#AlFUH6YO! zC^fSb#%pQ1o7&<+uyFS)>c-Vh{l{6fz^?%Gy0E3i!53!1Y>EXAs{*WUHr8B(qp7n@ z_lV~VGSrl!V$hvsBQ0kTWK)ry{G~k z-Qz84pNk0w4u$?q_>;Onz)4_hdF=ewPa~NMxZIy#V-deD3sNZLG_r3!;@(v=_is?~ z{B4kk10gRH7#)S7!i)D;cDMaHKaVOWz%=M02em z`P_96mJydipFrj-HM|sV$h7d!2$_&X$-vQgQR|7X_2Soup_8trM%msekXO$#&NLjW zQJjyq$|Rg&bE?EqVqih(XTpb{zw_5nYM}UB=XooaZsmD>CQ!M{@jxcUw3?~YS`{XG=z9|)sj|9sP?r$Op*t?mvrL}&TIpj%y2O3w z;)O=Mr*E1>gH<9&yeD0L_9mk=%wZKOj=HLRP3KRIM@CiiTKZ;db{I_cR3SDsGY#6eMC;`@{u=^{4g4FGfTO+bcB&(jw;Us`ZQiL~L zcXHBn>p_JvhWWPZ&Bcmr{zS1q4@w#>!|{#Z58~=2AOw!2%vhiPc3njxT`nY!?=bz22Gju48z5d6afvSn z&}orlRqxFrrS%QQe$N|Fj{r^4|FOIY;V@=UDOm^u=O+r!`sa}6`jpAH@{-bv7{I@_ zO0+Nyc+2JcBV&=iERYe(GbbE^St{st$T{NoMu`>0=-jT^XEke=D%RqXjz?4T5*&)! zlEMnZs9q>}g_bRoM3O~25L9H3;&{cgU8Ir{ti1K1Eb<=0 z+=*oz$X zkcD+%ON&s!+rtOR){?9%K4hL+=Cc@N*=;%g-3bXY!AM4w5xT>9_&gO5zg?|Al$&ECU<2QT7^#w%M{Ff)K?kirc^LK|6ed$fF%P>y zWke*DDi_%Gk%R1tgswQqAGJRFJ)hE&vYZ-*dqPagDVkgA#=g&rHk?wsvLN@9)HV-T za4Vh$uCD{id8WbUQg2eGj~8Fw9%*ZB)0}kFf|~a>fl0I*Lf4D_qiq`Q--#8RXdmtg zrjnXU6_eO&wpUmA(ezOL?g$tSxHx1(Mvs~^E2BuHH_k_riOMPm92M0o-EhYMc zgP3S}iuOf24Z_4^=Zz8>X)9oMhzki?eb^7Y=->}mHW7TsUso@rix9;U#(?YXa$%ym z<<3Gg>K7uW*MN=4nysVi&DkdxqEt8|j1pdv6IQ^dQ6`{0LkAT_-+>8Zcv5eZdeWRu zWRA1HCmH=aQ=QpuJwf}TYC2?e4o&EZ&Wy=&DO0ivNc7<0bP6!L!V&@p$Uok z(6_GXvHBl0=6G`zTj3&|8d~pVe+T>wWHl=2v?DR{=drhk=L?@~0Q{OQ5hH~XbNA~Q z>$#qAe`|IUn(e54_&lXTwl05M!4cAv2uS)e|K3ZNkUmFE2*EvUAyOr=3Z?|EOdwqR zP{Jx_6Skgly*`^IaQ98UYIZwB|HwqiBpI`+P!BQwrV|!8)|07wJNqP1Y=Oc+zAYyX zS6r$xcX;$wKX#zlkW9%*shTHJv~q)mX+j#Z<4O*@FgYx4$dNFV6J;VbyY0?yqS$9b zajW!oJyiW*xdShr%61n2)@t>uds^+y1$yaKO55Cr3Fh&)1x<@ycarEx!#PZt-Ygh9-N0PGs$s&R#5u4`VEK*Y7L$WG13Uzg`chde z8FmC*(6z5I6oz6z_r!SMBpylZxZBAO7;1lPZTpHv1h7e zIW2Ou9cv*Z+M9hHqZt_3})0Al(Dsf>bz*OLL$6ZqOvN!8$B;M5Kvh-D??mJ_<}4OWdZsx3KZ z1D>)mLV9r&wkp}Oab4%M=ILH+be?xrC6iuy-0!)vJA1dnmC}SXHI|Q7#yC!+DYLyO zLUCdQ$bLueUa{6$Zc6i6<8-6EW|O%}et;Z=fz7YAN)&H3`6qx?@6me|%qQK6z*YI|pE03>>UW0tu93PeT@COukU7I@vKkcQvf)z#pECvC05)Zii^LPfJRq{hefSAy z^9wdIBdokeNO3MUcNYZb_@ihQ!#t6)9Vh(CD~+ejpNEFN3W$i8#vw$6;dXq?N5S{% zc1vqIKdfqf@Ts|}XO4&ycJ3HG^b5I@1Cl4dhJ{`3_b%rfTq>4PT2v-3bjFMeF53^| z$zwo2YsFzu1w%XKb$&4hA%0h$HJQcq_i)OeSogbP)ZbkZS;(hU9n*FtU2!JYEH5Ab z>-*%LiP*d$9Dy`AVA>T5Qo>8yHP(g2RbR{aXc<77bNIts&)Eb{qoZt&RFhkP<>I{5 zaDYZX#;{&!dJV9g#d1p;;7m=BuPN~Bgne|Kp-^D>U0(e$Nu0@umng8zgstko0m28n>RiW?OZZK`t-Mj$hEw93jYc*Ly^Ha zg!n*V-ZsACbcMxXk%)vu$(vtC$@5F!4v<~UyAAewFRlWom!gG9+s)KQqrii~{DD3I zM<_O9A>@I*z>}~|0DG5P9b-bTxgV{`kP_r?-`yNzDHweVjZ&u&YBlpa3S+91xz;K=0s<@@^8WEYg7W5MFh&vm!E8+PiE zfs_`jq3SA;3uXNG$1tZOBEcXEklDZvS%hyl$i#hYDS9wNK8FXJA>2B@@B&;|V{MFZ z*vKd|n{{UOKTRWk01XJ8S`(%#E*#QvJ)0(0mtvUrLLC*5wOH1ar+;I$T86)Qk!a&7Xd6_sKLBzisg~H0UV1 zZeDfm`X#NAJ_=`k`$1hh_{Br_`Y6$$i!YV+?4)4tr>s!2f%P-FYVnuJi3#(!7n1&!{PM zV|%Gt)s3Sno=AVYK z(9%DJr=)^$_Xf~s%<7vj9&qKqFxkF~zi*wmc6+0Go)~*!)bn-&>&5eU9bW2@>3wbc z?*S{;gAx`bExW#U+-B`GuN}RIe*8=Q1zYt0qy7@pdr=|z>G!2ICgxAu2YOwsvxkJq zYwx?4oe`SwTYcmio5{8C$TR(AH~l7~iV^6+)5&(`2J18oOn3$NL63f3iN+Cx=Z|i$OZz^xilp7JV zMgY)upaK#m994H`yPEe>NI)zGqnyno#c5~KS0bKa^Lh-(F#yUkl4_}z(AmyZTC7LP3OzmcdfyfC+p2dLf+!~l9To99rD{r~81kc)QKA9*zxPNfNi zzLKb2D-KP*{J8i5Vtcx>uF`VNVy)7?eCbZMFxMC{q4Qi(9lfN~zDNJ+;uLPpB?@t_ z`ML8``<02Sg<2CZ{l@uy|D1fu;r&GZ1VrO9@=L-s_-kNFr&eKz0x0lzdh3I!zoiq@ z?EP+lGl?PaN>-DW50Qh!(aFPtlATToK2TrOC)QyE4-Q zd2)M0&xzuu7i)pN9rlVdAj(> zpxD;pU0}<>0X|2ndYD1Y%ea|@x?5scKBs;-JZCJq^$)D-k7T#3xfeN1Vyn&tkA5#b zFd2}a`2zW)WuTcO#6lM57vpHxiE;)^?#qE-#|sNGGO}!`Bn8hipiK2wmq&G?GKGZS z10o|M0}=4z^Sb-xZ1a9DPnL`X*qQ@*E(FyJ^?6nR2`)5~Ha;~QJXr7+OJGXs28kZT%2s;jpj;+cZT9IvW*q1v){Xgo^AqzOOwg6j4h-d%TQ~%w25A=Cl$@+ z;|5vwy*E_(|{c4Ym zjs+rl1aOXD7gs7I!FJq5D}%?|iL2bGjpLo)cGo9{&7~CqF?x^^3-uW)#sAb>?!-Kp zi^L@5!QTw(7C#1SY-wvN49qxsp?lZ%)hLmP;yU~FLKH6A%Ssa)eObNsQ2rL{AB6-8 zc`_wX*zM&;BOp3t9EjZVv-A4;d|%>$(YHi-=}FKTVe?Jy{t4KqVL+;k5oc**BV@tr znpy7gfMYn`ukjMiEbtn!cm{$(l@iqX=-1JY>C4k2eV6@CZO}oXpdzL5M5%V~dz$bq zIOZ2(>?H!= z_d>uxl+9w2l_s68+Qc>UK?b?r%nsJER2ttyFgGweKTt9=UIuo& zX7Qg`}*f~3^5@L6YgN2R&q>&V2jmF#5LV{EBB(pqKI*SlNERpzEwvvq$o0WRjGbpM_oC$;tGI$dvH}MGZ)C zMVmJ0JWPozb;?5ZNagclD7M%xaC_;Zh(yxRr1O@WEk=h74>xFm=-0qQ(4QG54;Vu! z%ur)(8?H7Dw62shbD*@MbaHfJ5s^B?vcHuf0&c%BGXJT+1jYEFf`SuFgjS>3C|;MV zM76cGfI9?MtWuNX*7r7GoLLSWYhRe=D*NNvXh@sPrSmGZ5?q7pOfjwZ?ajT7?Z%rQ z=|XTu(jyAs;;sA=AgSJW%_Dr3!*b6(eq9j&6*1L48T>~#q(B=X?WN{wPW~k@z&*S? ze!KeS^kh@fXj5+%sq4X9hY2YgkTjYRM(eJ3+>TRT1tM2wR!|CI9J`wf+aIdTBUKS9 zkXIDKhoZ(o!U3gbz{632BndLp4s}Ynn0Dx(u@9itRS99@<{@<$I65sI#p<4|db{wE zfeZninL(;L4y)+K)_{i&4Q1}@vnOni6GhFx_B`E>H~LwVJ@s9!dw(k!T>J`rJed(l z$o>dCELk@@$o+FPQ3B-l_C%C!4x1zCiQ*_yUItZ)(u*+#q4RuT*h^=Q0yj|?w!gZX z6M(E;Z6dT}n6?~Xr9MADe~WGROgbF?nDy2-)4y%|?NFNXse;Y$4@My8W@a~(h^+y8 z!9AA(>Ct1rnoAUod=v;Ivgjq@whf9=MUYmWo5T+n^Ekvj;`gZSYj8Q#Uk&QAEyFYq zM4qdm>x1A4w~44EV`qp2?Wq*U!faGV3=2bRI7Dlme(r=X16j@CczIiZkx)wI9`=2n zgR!&QL-c{sIG14--C1#GGwOt1LGAwK0eI!SyL*nvx>?CnUhUF zkqkk!2Xl2MO^eWvzM!>^$Cefh=p+C%=%}InzwCzL62FRTe zEskr-`Opta<+BiLcUeoY@E=!J$Tb3O%nJ-lbo^J98>~;YYq|JQ=}~bs?15!z08kVw zaFbGp0&SXUE@R7yr_v#E*&}@&>CPHjkZ(gA8?d>j!F#GO_q}z&tzGLPFxdkBkFI&= z3r%y(rfY1o#uME)K!PEPrdb7}UwP9`%Dfggf*|8sVIm%*gqd*fGR(-StyklVvH+sx zPC65L1he?#r}0-i<6q1tZKkCW>NO<>=%8T$x5K5q{F}225CptL&L?50_0MhB>FT*` z-%CqAfa~DKxdSfS{@*?8rA)2li$8?w`z${Z@`K-+R(tF<=t9t4W`o4QEKfcn65jrm zb%gR2Obm-Q&yVwAu^o2pB8Y``fdI_RTlMZqxiV9F>WiRmuAISP3NY#ah)CEx4q4a( z6#{B7-sZ73_0N^l-s`k9Boy4>tlHm;Nkp*N^zUoo^{;Szlf@a;3J}}iD_1D`a{>Ju z5VWybpF%OmD4)&c`i|3oCrRzYR5Fr?x*f=^SW2q<(oepc)`d55< z&j1*OYtIfL_1}18VdRmo~lJwM~O?EQjduCSD`W$$y6! zRBQ}C|Jc8MzE)Au^sd*tvu23o^URWI{mXK{Nw41u29xLRR9S!ckT8F~8~F*$eU7+& zm(>7zdz>0?UXs)@KfGEtZ5uWoXzFgNT~^|uwmuZcL_DjpFXzAA7@?Aa#}Ub?>-~^y zv?5y#>UU`&Vf*hsfZ=_j3&`xbA}dI9rSi$99iykkxkWLwmU=1fHn^z?w|e%jlBdBZ z=a-`dZ4poEYZHu*8CTA}nE!sNM%)gAaA%axqld}=9&^D1ltdy*q&&Y;iE2?72ghG{ zj%b{!zFR4iGaCHG$Hb_?nH}u#4K2(Pqm-k}7tXKE{?MfUwh|lGNum|xT}^ax%FnbS zRdVV#nPH$krHhICFYHH(3JGBFRaAws4hS?%J^Fd-NV8p*?Nv5INP%k+py2!OR`{gi zm4O%_YEi}YQ+6M@JCxN{e@HE6F-6JB{JMH=VRo19Jy2JwqMc(kI%oaZLtOS!<5ef6 z{!b&&j9 zyjPB%IUCEea)1EM&rDe&>5MfV8PonJEdKL2Kr~gurc@MS%T&2JB=hpII%hI3JwI;= z;9^_RZ-ZI*+7x+DP0zmsk{>|?q)tWdv-2hVjr*?ZFZk_ut61iw0S&U{#WRk7_n5CP z9#{)&WQl%(NV!{&$`5@G>zK#=W|kkbLc+n~Pg>i9h ztVrk);JuefIKLtWikH_*aj5^Zy6y*L=YtQp>)msyGu4HQZ(c4%BhV$4kPOZX_&SAe zi%ddduA-QSv)Zv8gV8W#h$(+rXy-P7M7if%L&N_xnnJL(5&JMDQ|pUMX|OSH5Oc-;5lr=EJ4?4uA4vh8GrBq10oI;QhH2bADn%U-v6s7b%WsnWZ}vn8jyhQPhUeY zVXM!j`*t7CY`qvT57XECR9ueMVq`|u?;eU> z-cchG^baub2X)iGpO|$Zxgb+M#VpC54w2~<@NkW`oZl{+HplUJBY>*P$y^^PPnRwB zPQthG@+X7F(_;VgPYVcNF__aoLRMZ)hl)^lK2|6Y`*+-Hy+sDm+WsYkDicGC_jTvh zcJ-hy?P}#axj2^v-q3CS5B|z6ENh(}-X!|mom+x;HDqaG&g@p!6s(;|Z-<^Xj1iKapJj1`u3D8UqIBNP&JirdA0R4p{^WBjU#~<%U3Eyj|H*AB@ZCp#P zJYlHWZwA!?<`MoOgd3h?O$iGd{}UvH$*J$h1+m8<|TbFu(;f%>IA$N&b!jHY|=mu(%4bCCeuIUtcbPgH3^(V^xE$^6y0sQZ(qW z@}eOgfK~@mMv9&3EKUD>?LRX*#Rr$to~Wd?^C8+zhFB^CLh|>|zQ!2ai%4n1M6jDv z#~Dm|b#C6IB^YY~|cl)fU0ZMRixKZfucVUE`hKz$n%Xs^cK zUEc1uxSVd??WVda4VvQjw1_E=@|;1gn_uX)Z_q(2DYADe#l;!ED#SrU6F$gO1y)dp z#^f+1g^j8OmDBJVEKo9dCmw6P9=kqk-XQUQcYQO)-LkjOe}37xzn`*xJ@5W$LGf9W z%Oyi@-C$c<_UZ7*c(ysl*2Fal=PE}V<3xIPHh%cJtH)9E5DumC;rUk-BlK@QQeEi5 zp%62Dr5~D8X(+5PPg>yZ2O8KBD@xrbOQ?v6D%`DTbqA}4kixBy@A#2t@Q0b7e zxz&g93YQkVE%>rAUI#~#H<{5TE4}n{FFcM4n^pgqmsaSQfI6Rlk47TK)*j zKh3SIyt*~*SFp`S+=WA|K!Bg*GhPOE*_L>sCvDaC&y77suQ~D(QCmZ`Q z)hQ@%LeWD%Me}OZm|>E&=uSpd`g|Otj!5PrMSOX}>f%GOj2pWUPU>yVgc3^Gwz9qH zw>IFAlgr9cLzD5`IN;$jUaalWH*Q?Y7v|qPp?OotN5_7-^*mZlzr-gu9Ji@gWeqic zPK82#c2QM`XW)!b3wz9_9^_`n1xPQ~BY*##=Wkld4>8pXJLKrdC^_Ya>-7I`i#xf6AfyThkIee%1)ei>~F*W6i$edT27%bFtmESENMrg znk}ZS_j(&074@@T*ZWJmsXkx`?yPf@pB1Tl$8Fg1(($SOG6$7`Dr`Xhg-8o8-&-C* zWf6o4t6AZ57SfFTxUKFIUWg$#=4DcY>6rJ@D1lm36)i=kRs+Wy{3hsmX)2xO^4jWa z^_Zl=*qj?}V5FXr+UQd6WESmo)s2jnjK%n+trGDwf>7K;oaHddFU=FLBPIs^XI_Iz zP96=0(lFJKdn%-YDMm!Cg&t)J>3spPprR*;F<&|Sxyc?PdN$*HOG7~^QJ!U*tsxA~Dr7LmV_5uiJlCE&uT>!qN^7^-0F%= zY)%2`e0n1s(nwD)G;~Y&Jz(y$?9;7HF@YOeOtP0jDJP^RlY(Aw^~Knia(h3wo`<$G zGPni4j{cOc{ZWOk(FqO^41zYU#U`uq9=@)KiA{?b?uFD1Y=KJlcKFv=TKukw%XRMi zFjrWluY{?MCcIMkogd@$6Upm@f2l-ICw~b;0n@x;WD$B`(=Q}e0yVV?`mwEhlvl<&?qV% z>WAPmiK{)Z+*!e`d1Xik#R{b(K2BOiZx~U*kH$vF>yDz$ ze9Atwo7}BA%me&3cT_)p|<#A7K zM-zJ0HaJY7KvBRQQ(78>XRau-C3=cJ>@^9B$I7^N{tx+_`Q)%yvstBYRQKrhb;2mF z_3rnne|lIKb^+Fx0VT#-Pl$x-zn!lOt0MqINU3x8wiD;szxOy+U$fUffnrtHVy;5} fd6d-RHthkKtyw&GLw=ag1Mnj*A_FZI*7f^8T?)7n literal 0 HcmV?d00001 diff --git a/sagemaker-clarify/clarify-explainability-inference-pipelines/credit_risk_explainability_inference_pipelines.ipynb b/sagemaker-clarify/clarify-explainability-inference-pipelines/credit_risk_explainability_inference_pipelines.ipynb new file mode 100644 index 0000000000..3bcc87cf56 --- /dev/null +++ b/sagemaker-clarify/clarify-explainability-inference-pipelines/credit_risk_explainability_inference_pipelines.ipynb @@ -0,0 +1,1484 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Credit risk prediction and explainability with Amazon SageMaker" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "![Credit risk explainability use case](credit_risk_prediction.png)\n", + "\n", + "1. [Overview](#Overview)\n", + "1. [Prerequisites and Data](#Prerequisites-and-Data)\n", + " 1. [Initialize SageMaker](#Initialize-SageMaker)\n", + " 1. [Download data](#Download-data)\n", + " 1. [Loading the data: German credit (Update) Dataset](#Loading-the-data:-German-credit-Dataset) \n", + " 1. [Data inspection](#Data-inspection) \n", + " 1. [Data preprocessing Model and upload to S3](#Preprocess-and-Upload-Training-Data) \n", + "1. [Train XGBoost Model](#Train-XGBoost-Model)\n", + " 1. [Train Model](#Train-Model)\n", + "1. [Deploy Model](#Train-XGBoost-Model)\n", + "1. [Amazon SageMaker Clarify](#Amazon-SageMaker-Clarify)\n", + " 1. [Explaining Predictions](#Explaining-Predictions)\n", + " 1. [Viewing the Explainability Report](#Viewing-the-Explainability-Report)\n", + " 2. [Explaining individual bad credit prediction example](#Explaining-individual-prediction)\n", + " 2. [Understanding Bias](#Bias-Detection)\n", + " 1. [Pre-training bias metrics](#pre-training)\n", + " 2. [Post-training bias metrics](#post-training)\n", + "1. [Clean Up](#Clean-Up)\n", + "\n", + "## Overview\n", + "Amazon SageMaker helps data scientists and developers to prepare, build, train, and deploy high-quality machine learning (ML) models quickly by bringing together a broad set of capabilities purpose-built for ML.\n", + "\n", + "[Amazon SageMaker Clarify](https://aws.amazon.com/sagemaker/clarify/) helps improve your machine learning models by detecting potential bias and helping explain how these models make predictions. The fairness and explainability functionality provided by SageMaker Clarify takes a step towards enabling AWS customers to build trustworthy and understandable machine learning models. \n", + "\n", + "Amazon SageMaker provides pre-made images for machine and deep learning frameworks for supported frameworks such as Scikit-Learn, XGBoost, TensorFlow, PyTorch, MXNet, or Chainer. These are preloaded with the corresponding framework and some additional Python packages, such as Pandas and NumPy, so you can write your own code for model training. See [here](https://docs.aws.amazon.com/sagemaker/latest/dg/algorithms-choose.html#supported-frameworks-benefits) for more information.\n", + "\n", + "\n", + "[Amazon SageMaker Studio](https://aws.amazon.com/sagemaker/studio/) provides a single, web-based visual interface where you can perform all ML development activities including notebooks, experiment management, automatic model creation, debugging, and model and data drift detection.\n", + "\n", + "In this SageMaker Studio notebook, we highlight how you can use SageMaker to train models, host them as an inference pipeline, and provide bias detection and explainability to analyze data and understand prediction outcomes from the model.\n", + "This sample notebook walks you through: \n", + "\n", + "1. Download and explore credit risk dataset - [South German Credit (UPDATE) Data Set](https://archive.ics.uci.edu/ml/datasets/South+German+Credit+%28UPDATE%29)\n", + "2. Preprocessing data with sklearn on the dataset\n", + "3. Training GBM model with XGBoost on the dataset\n", + "5. Build an inference pipeline model (sklearn model and XGBoost model together) to preprocess input data and produce a prediction outcome per instance\n", + "6. Hosting and scoring the single model (Optional)\n", + "7. Single SageMaker Clarify job to provide Kernel SHAP values for the SageMaker model on training and test datasets.\n", + "\n", + "![Credit risk explainability model inference](clarify_inf_pipeline_arch.png)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Prerequisites and Data\n", + "### Initialize SageMaker" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from io import StringIO\n", + "import os\n", + "import time\n", + "import sys\n", + "import IPython\n", + "from time import gmtime, strftime\n", + "\n", + "import boto3\n", + "import numpy as np\n", + "import pandas as pd\n", + "import urllib\n", + "\n", + "import sagemaker\n", + "from sagemaker.s3 import S3Uploader\n", + "from sagemaker.processing import ProcessingInput, ProcessingOutput\n", + "from sagemaker.sklearn.processing import SKLearnProcessor\n", + "from sagemaker.inputs import TrainingInput\n", + "from sagemaker.xgboost import XGBoost\n", + "from sagemaker.s3 import S3Downloader\n", + "from sagemaker.s3 import S3Uploader\n", + "from sagemaker import Session\n", + "from sagemaker import get_execution_role\n", + "from sagemaker.xgboost import XGBoostModel\n", + "from sagemaker.sklearn import SKLearnModel\n", + "from sagemaker.pipeline import PipelineModel\n", + "\n", + "\n", + "session = Session()\n", + "bucket = session.default_bucket()\n", + "prefix = \"sagemaker/sagemaker-clarify-credit-risk-model\"\n", + "region = session.boto_region_name\n", + "\n", + "# Define IAM role\n", + "role = get_execution_role()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Download data\n", + "\n", + "First, __download__ the data and save it in the `data` folder.\n", + "\n", + "\n", + "$^{[2]}$ Ulrike Grömping\n", + "Beuth University of Applied Sciences Berlin\n", + "Website with contact information: https://prof.beuth-hochschule.de/groemping/." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "S3Downloader.download(\n", + " \"s3://sagemaker-sample-files/datasets/tabular/uci_statlog_german_credit_data/SouthGermanCredit.asc\",\n", + " \"data\",\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "credit_columns = [\n", + " \"status\",\n", + " \"duration\",\n", + " \"credit_history\",\n", + " \"purpose\",\n", + " \"amount\",\n", + " \"savings\",\n", + " \"employment_duration\",\n", + " \"installment_rate\",\n", + " \"personal_status_sex\",\n", + " \"other_debtors\",\n", + " \"present_residence\",\n", + " \"property\",\n", + " \"age\",\n", + " \"other_installment_plans\",\n", + " \"housing\",\n", + " \"number_credits\",\n", + " \"job\",\n", + " \"people_liable\",\n", + " \"telephone\",\n", + " \"foreign_worker\",\n", + " \"credit_risk\",\n", + "]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "$`laufkont = status`\n", + " \n", + " 1 : no checking account \n", + " 2 : ... < 0 DM \n", + " 3 : 0<= ... < 200 DM \n", + " 4 : ... >= 200 DM / salary for at least 1 year\n", + "\n", + "$`laufzeit = duration`\n", + " \n", + "\n", + "$`moral = credit_history`\n", + " \n", + " 0 : delay in paying off in the past \n", + " 1 : critical account/other credits elsewhere \n", + " 2 : no credits taken/all credits paid back duly\n", + " 3 : existing credits paid back duly till now \n", + " 4 : all credits at this bank paid back duly \n", + "\n", + "$`verw = purpose`\n", + " \n", + " 0 : others \n", + " 1 : car (new) \n", + " 2 : car (used) \n", + " 3 : furniture/equipment\n", + " 4 : radio/television \n", + " 5 : domestic appliances\n", + " 6 : repairs \n", + " 7 : education \n", + " 8 : vacation \n", + " 9 : retraining \n", + " 10 : business \n", + "\n", + "$`hoehe = amount`\n", + " \n", + "\n", + "$`sparkont = savings`\n", + " \n", + " 1 : unknown/no savings account\n", + " 2 : ... < 100 DM \n", + " 3 : 100 <= ... < 500 DM \n", + " 4 : 500 <= ... < 1000 DM \n", + " 5 : ... >= 1000 DM \n", + "\n", + "$`beszeit = employment_duration`\n", + " \n", + " 1 : unemployed \n", + " 2 : < 1 yr \n", + " 3 : 1 <= ... < 4 yrs\n", + " 4 : 4 <= ... < 7 yrs\n", + " 5 : >= 7 yrs \n", + "\n", + "$`rate = installment_rate`\n", + " \n", + " 1 : >= 35 \n", + " 2 : 25 <= ... < 35\n", + " 3 : 20 <= ... < 25\n", + " 4 : < 20 \n", + "\n", + "$`famges = personal_status_sex`\n", + " \n", + " 1 : male : divorced/separated \n", + " 2 : female : non-single or male : single\n", + " 3 : male : married/widowed \n", + " 4 : female : single \n", + "\n", + "$`buerge = other_debtors`\n", + " \n", + " 1 : none \n", + " 2 : co-applicant\n", + " 3 : guarantor \n", + "\n", + "$`wohnzeit = present_residence`\n", + " \n", + " 1 : < 1 yr \n", + " 2 : 1 <= ... < 4 yrs\n", + " 3 : 4 <= ... < 7 yrs\n", + " 4 : >= 7 yrs \n", + "\n", + "$`verm = property`\n", + " \n", + " 1 : unknown / no property \n", + " 2 : car or other \n", + " 3 : building soc. savings agr./life insurance\n", + " 4 : real estate \n", + "\n", + "$`alter = age`\n", + " \n", + "\n", + "$`weitkred = other_installment_plans`\n", + " \n", + " 1 : bank \n", + " 2 : stores\n", + " 3 : none \n", + "\n", + "$`wohn = housing`\n", + " \n", + " 1 : for free\n", + " 2 : rent \n", + " 3 : own \n", + "\n", + "$`bishkred = number_credits`\n", + " \n", + " 1 : 1 \n", + " 2 : 2-3 \n", + " 3 : 4-5 \n", + " 4 : >= 6\n", + "\n", + "$`beruf = job`\n", + " \n", + " 1 : unemployed/unskilled - non-resident \n", + " 2 : unskilled - resident \n", + " 3 : skilled employee/official \n", + " 4 : manager/self-empl./highly qualif. employee\n", + "\n", + "$`pers = people_liable`\n", + " \n", + " 1 : 3 or more\n", + " 2 : 0 to 2 \n", + "\n", + "$`telef = telephone`\n", + " \n", + " 1 : no \n", + " 2 : yes (under customer name)\n", + "\n", + "$`gastarb = foreign_worker`\n", + " \n", + " 1 : yes\n", + " 2 : no \n", + "\n", + "$`kredit = credit_risk`\n", + " \n", + " 0 : bad \n", + " 1 : good\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "training_data = pd.read_csv(\n", + " \"data/SouthGermanCredit.asc\",\n", + " names=credit_columns,\n", + " header=0,\n", + " sep=r\" \",\n", + " engine=\"python\",\n", + " na_values=\"?\",\n", + ").dropna()\n", + "\n", + "print(training_data.head())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Data inspection\n", + "Plotting histograms for the distribution of the different features is a good way to visualize the data. \n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "training_data[\"credit_risk\"].value_counts().sort_values().plot(\n", + " kind=\"bar\", title=\"Counts of Target\", rot=0\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Create the raw training and test CSV files" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# prepare raw test data\n", + "test_data = training_data.sample(frac=0.1)\n", + "test_data = test_data.drop([\"credit_risk\"], axis=1)\n", + "test_filename = \"test.csv\"\n", + "test_columns = [\n", + " \"status\",\n", + " \"duration\",\n", + " \"credit_history\",\n", + " \"purpose\",\n", + " \"amount\",\n", + " \"savings\",\n", + " \"employment_duration\",\n", + " \"installment_rate\",\n", + " \"personal_status_sex\",\n", + " \"other_debtors\",\n", + " \"present_residence\",\n", + " \"property\",\n", + " \"age\",\n", + " \"other_installment_plans\",\n", + " \"housing\",\n", + " \"number_credits\",\n", + " \"job\",\n", + " \"people_liable\",\n", + " \"telephone\",\n", + " \"foreign_worker\",\n", + "]\n", + "test_data.to_csv(test_filename, index=False, header=True, columns=test_columns, sep=\",\")\n", + "\n", + "# prepare raw training data\n", + "train_filename = \"train.csv\"\n", + "training_data.to_csv(train_filename, index=False, header=True, columns=credit_columns, sep=\",\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Encode and Upload Data\n", + "Here we encode the training and test data. Encoding input data is not necessary for SageMaker Clarify, but is necessary for XGBoost models." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "test_raw = S3Uploader.upload(test_filename, \"s3://{}/{}/data/test\".format(bucket, prefix))\n", + "print(test_raw)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "train_raw = S3Uploader.upload(train_filename, \"s3://{}/{}/data/train\".format(bucket, prefix))\n", + "print(train_raw)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Using SageMaker Processing jobs for preprocessing\n", + "\n", + "We will use SageMaker Processing jobs to perform the preprocessing on the raw data. SageMaker Processing provides prebuilt container for SKlearn which we will use here. We will output a sklearn model that can be used for preprocessing inference requests. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "sklearn_processor = SKLearnProcessor(\n", + " role=role,\n", + " base_job_name=\"sagemaker-clarify-credit-risk-processing-job\",\n", + " instance_type=\"ml.m5.large\",\n", + " instance_count=1,\n", + " framework_version=\"0.20.0\",\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let us have a look at the preprocessing script prepared to run in the processing job" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "!pygmentize processing/preprocessor.py" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "raw_data_path = \"s3://{0}/{1}/data/train/\".format(bucket, prefix)\n", + "train_data_path = \"s3://{0}/{1}/data/preprocessed/train/\".format(bucket, prefix)\n", + "val_data_path = \"s3://{0}/{1}/data/preprocessed/val/\".format(bucket, prefix)\n", + "model_path = \"s3://{0}/{1}/sklearn/\".format(bucket, prefix)\n", + "\n", + "\n", + "sklearn_processor.run(\n", + " code=\"processing/preprocessor.py\",\n", + " inputs=[\n", + " ProcessingInput(\n", + " input_name=\"raw_data\", source=raw_data_path, destination=\"/opt/ml/processing/input\"\n", + " )\n", + " ],\n", + " outputs=[\n", + " ProcessingOutput(\n", + " output_name=\"train_data\", source=\"/opt/ml/processing/train\", destination=train_data_path\n", + " ),\n", + " ProcessingOutput(\n", + " output_name=\"val_data\", source=\"/opt/ml/processing/val\", destination=val_data_path\n", + " ),\n", + " ProcessingOutput(\n", + " output_name=\"model\", source=\"/opt/ml/processing/model\", destination=model_path\n", + " ),\n", + " ],\n", + " arguments=[\"--train-test-split-ratio\", \"0.2\"],\n", + " logs=False,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Train XGBoost Model\n", + "In this step, we will train an XGBoost model on the preprocessed data. We will use our own training script with the built-in XGBoost container provided by SageMaker.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "!pygmentize training/train_xgboost.py" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Set up XGBoost Estimator\n", + "\n", + "Next, let us set up: \n", + " 1. Pre-defined values for Hyperparameters for XGBoost algorithm\n", + " 1. XGBoost Estimator for SageMaker\n", + "\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "hyperparameters = {\n", + " \"max_depth\": \"5\",\n", + " \"eta\": \"0.1\",\n", + " \"gamma\": \"4\",\n", + " \"min_child_weight\": \"6\",\n", + " \"silent\": \"1\",\n", + " \"objective\": \"binary:logistic\",\n", + " \"num_round\": \"100\",\n", + " \"subsample\": \"0.8\",\n", + " \"eval_metric\": \"auc\",\n", + " \"early_stopping_rounds\": \"20\",\n", + "}\n", + "\n", + "entry_point = \"train_xgboost.py\"\n", + "source_dir = \"training/\"\n", + "output_path = \"s3://{0}/{1}/{2}\".format(bucket, prefix, \"xgb_model\")\n", + "code_location = \"s3://{0}/{1}/code\".format(bucket, prefix)\n", + "\n", + "estimator = XGBoost(\n", + " entry_point=entry_point,\n", + " source_dir=source_dir,\n", + " output_path=output_path,\n", + " code_location=code_location,\n", + " hyperparameters=hyperparameters,\n", + " instance_type=\"ml.c5.xlarge\",\n", + " instance_count=1,\n", + " framework_version=\"0.90-2\",\n", + " py_version=\"py3\",\n", + " role=role,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Training\n", + "\n", + "Now it's time to start the training" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "job_name = f\"credit-risk-xgb-{strftime('%Y-%m-%d-%H-%M-%S', gmtime())}\"\n", + "\n", + "train_input = TrainingInput(\n", + " \"s3://{0}/{1}/data/preprocessed/train/\".format(bucket, prefix), content_type=\"csv\"\n", + ")\n", + "val_input = TrainingInput(\n", + " \"s3://{0}/{1}/data/preprocessed/val/\".format(bucket, prefix), content_type=\"csv\"\n", + ")\n", + "\n", + "inputs = {\"train\": train_input, \"validation\": val_input}\n", + "\n", + "estimator.fit(inputs, job_name=job_name)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Create an Inference Pipeline\n", + "\n", + "We will be deploying a SageMaker inference pipeline which will:\n", + " 1. Accept raw data as input\n", + " 1. preprocess the data with the SKlearn model we built earlier\n", + " 1. Pass the output of the Sklearn model as an input to the XGBoost model automatically\n", + " 1. Deliver the final inference result from the XGBoost model\n", + " \n", + "\n", + "To know more, check out the documentation on inference pipelines: https://docs.aws.amazon.com/sagemaker/latest/dg/inference-pipelines.html" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "### Retrieve model artifacts\n", + "\n", + "First, we need to create two Amazon SageMaker Model objects, which associate the artifacts of training (serialized model artifacts in Amazon S3) to the Docker container used for inference. In order to do that, we need to get the paths to our serialized models in Amazon S3. We define the model data location of SKlearn and XGBoost models here." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "preprocessor_model_data = \"s3://{}/{}/{}\".format(bucket, prefix, \"sklearn\") + \"/model.tar.gz\"\n", + "\n", + "xgboost_model_data = (\n", + " \"s3://{}/{}/{}/{}\".format(bucket, prefix, \"xgb_model\", job_name) + \"/output/model.tar.gz\"\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Create SKlearn Model Object\n", + "\n", + "Next step is to create an `SKlearnModel` object which will contain the following important information:\n", + " 1. location of the sklearn model data\n", + " 1. our custom inference code\n", + " 1. SKlearn version to use (ensure this is the same the one used during pre-processing)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For hosting this model we provide a custom inference script, that is used to process the inputs and outputs and execute the transform.\n", + "\n", + "The inference script is implemented in the `inference/sklearn/inference.py` file. The custom script defines:\n", + "\n", + "- a custom `input_fn` for pre-processing inference requests. Our input function accepts only CSV input, loads the input in a Pandas dataframe and assigns feature column names to the dataframe\n", + "- a custom `predict_fn` for running the transform over the inputs\n", + "- a custom `model_fn` for deserializing the model\n", + "\n", + "We will be using the default implementation of the `output_function` provided by SageMaker SKlearn container. To know more, check out: https://github.com/aws/sagemaker-scikit-learn-container\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "!pygmentize inference/sklearn/inference.py" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "\n", + "Now, let us define the SKLearnModel Object" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "sklearn_inference_code_location = \"s3://{}/{}/{}/code\".format(bucket, prefix, \"sklearn\")\n", + "\n", + "sklearn_model = SKLearnModel(\n", + " name=\"sklearn-model-{0}\".format(str(int(time.time()))),\n", + " model_data=preprocessor_model_data,\n", + " entry_point=\"inference.py\",\n", + " source_dir=\"inference/sklearn/\",\n", + " code_location=sklearn_inference_code_location,\n", + " role=role,\n", + " sagemaker_session=session,\n", + " framework_version=\"0.20.0\",\n", + " py_version=\"py3\",\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### XGBoost Model\n", + "\n", + "Similarly to the previous steps, we can create an XGBoost model object. Also here, we have to provide a custom inference script.\n", + "\n", + "The inference script is implemented in the `inference/xgboost/inference.py` file. The custom script defines:\n", + "\n", + "- a custom `input_fn` for pre-processing inference requests. This input function is able to handle JSON requests, plus all content types supported by the default XGBoost container. For additional information please visit: https://github.com/aws/sagemaker-xgboost-container/blob/master/src/sagemaker_xgboost_container/encoder.py. The reason for adding the JSON content type is that the container-to-container default request content type in an inference pipeline is JSON.\n", + "\n", + "- a custom `model_fn` for deserializing the model\n", + "\n", + "Let us have a look at the inference script.\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "!pygmentize inference/xgboost/inference.py" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, let us define the XGBoost model Object\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "xgboost_inference_code_location = \"s3://{}/{}/{}/code\".format(bucket, prefix, \"xgb_model\")\n", + "\n", + "xgboost_model = XGBoostModel(\n", + " name=\"xgb-model-{0}\".format(str(int(time.time()))),\n", + " model_data=xgboost_model_data,\n", + " entry_point=\"inference.py\",\n", + " source_dir=\"inference/xgboost/\",\n", + " code_location=xgboost_inference_code_location,\n", + " framework_version=\"0.90-2\",\n", + " py_version=\"py3\",\n", + " role=role,\n", + " sagemaker_session=session,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "## Pipeline Model\n", + "\n", + "Once we have models ready, we can deploy them in a pipeline, by building a PipelineModel object and calling the deploy() method." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "pipeline_model_name = \"credit-risk-inference-pipeline-{0}\".format(str(int(time.time())))\n", + "\n", + "pipeline_model = PipelineModel(\n", + " name=pipeline_model_name,\n", + " role=role,\n", + " models=[sklearn_model, xgboost_model],\n", + " sagemaker_session=session,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Take note of the `model name` as it will be required while setting up the explainability job." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "pipeline_model.name" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Deploy Model (optional - Not needed for Clarify)\n", + "\n", + "Let's deploy the model and test the inference pipeline." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "endpoint_name = \"credit-risk-pipeline-endpoint-{0}\".format(str(int(time.time())))\n", + "print(endpoint_name)\n", + "\n", + "pipeline_model.deploy(\n", + " initial_instance_count=1, instance_type=\"ml.m5.xlarge\", endpoint_name=endpoint_name\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Inference (optional - Not needed for Clarify)\n", + "\n", + "Now that the model has been deployed, lets us optionally test it against the raw test data we created earlier in this notebook." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "test_dataset = S3Downloader.read_file(test_raw)\n", + "\n", + "predictor = sagemaker.predictor.Predictor(\n", + " endpoint_name,\n", + " session,\n", + " serializer=sagemaker.serializers.CSVSerializer(),\n", + " deserializer=sagemaker.deserializers.CSVDeserializer(),\n", + ")\n", + "\n", + "predictions = predictor.predict(test_dataset)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "predictions" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Amazon SageMaker Clarify\n", + "Now that you have your model set up. Let's say hello to SageMaker Clarify!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from sagemaker import clarify\n", + "\n", + "clarify_processor = clarify.SageMakerClarifyProcessor(\n", + " role=role, instance_count=1, instance_type=\"ml.c4.xlarge\", sagemaker_session=session\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Explaining Predictions\n", + "There are expanding business needs and legislative regulations that require explanations of _why_ a model made the decision it did. SageMaker Clarify uses [SHAP library](https://github.com/slundberg/shap) to explain the contribution that each input feature makes to the final decision. SageMaker Clarify uses a scalable and efficient implementation of [Kernel SHAP](https://github.com/slundberg/shap#model-agnostic-example-with-kernelexplainer-explains-any-function) with an option to use spark based parallelization with multiple processing instances. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Create a baseline for SHAP" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As a contrastive explainability technique, SHAP values are calculated by evaluating the model on synthetic data generated against a baseline sample. The explanations of the same case can be different depending on the choices of this baseline sample. \n", + "\n", + "We are interested in explaining bad credit predictions. Hence, we would like the baseline choice to have E(x) closer to 1(belonging to the good credit class). \n", + "\n", + "We use the [mode](https://en.wikipedia.org/wiki/Mode_(statistics)) statistic to create the baseline. The mode is a good choice for categorical variables. We observe that the model prediction for the baseline has a high probability for the good credit class and hence it satisfies our requirement for the baseline. \n", + "\n", + "For more information on selecting informative vs non-informative baselines, see [SHAP Baselines for Explainability ](https://docs.aws.amazon.com/sagemaker/latest/dg/clarify-feature-attribute-shap-baselines.html)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# load the raw training data in a data frame\n", + "raw_train_df = pd.read_csv(\"train.csv\", header=0, names=None, sep=\",\")\n", + "\n", + "# drop the target column\n", + "baseline = raw_train_df.drop([\"credit_risk\"], axis=1).mode().iloc[0].values.astype(\"int\").tolist()\n", + "\n", + "print(baseline)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# check baseline prediction E[(x)]\n", + "pred_baseline = predictor.predict(baseline)\n", + "print(pred_baseline)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Setup configurations for Clarify" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Next, setup some more configurations to start the explainability analysis by Clarify. We need to set up the following:\n", + " 1. **SHAPConfig**: to create the baseline. In this example, the mean_abs is the mean of absolute SHAP values for all instances, specified as the baseline\n", + " \n", + " \n", + " 1. **DataConfig**: to provide some basic information about data I/O to SageMaker Clarify. We specify where to find the input dataset, where to store the output, the header names, and the dataset type.\n", + " 1. **ModelConfig**: to specify information about the trained model here we re-use the model name created earlier\n", + " \n", + "To know more about what these configurations mean for Clarify, check out the documentation here: https://docs.aws.amazon.com/sagemaker/latest/dg/clarify-configure-processing-jobs.html\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "shap_config = clarify.SHAPConfig(\n", + " baseline=[baseline],\n", + " num_samples=2000, # num_samples are permutations from your features, so should be large enough as compared to number of input features, for example, 2k + 2* num_features\n", + " agg_method=\"mean_abs\",\n", + " use_logit=True,\n", + ") # we want the shap values to have log-odds units so that the equation 'shap values + expected probability = predicted probability' for each instance record )" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "explainability_output_path = \"s3://{}/{}/clarify-explainability\".format(bucket, prefix)\n", + "\n", + "explainability_data_config = clarify.DataConfig(\n", + " s3_data_input_path=test_raw,\n", + " s3_output_path=explainability_output_path,\n", + " # label='credit_risk', # target column is not present in the test dataset\n", + " headers=test_columns,\n", + " dataset_type=\"text/csv\",\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "model_config = clarify.ModelConfig(\n", + " model_name=pipeline_model.name, # specify the inference pipeline model name\n", + " instance_type=\"ml.c5.xlarge\",\n", + " instance_count=1,\n", + " accept_type=\"text/csv\",\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Run SageMaker Clarify Explainability job\n", + "\n", + "All the configurations are in place. Let's start the explainability job. This will spin up an ephemeral SageMaker endpoint and perform inference and calculate explanations on that endpoint. It does not use any existing production endpoint deployments." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "clarify_processor.run_explainability(\n", + " data_config=explainability_data_config,\n", + " model_config=model_config,\n", + " explainability_config=shap_config,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Viewing the Explainability Report\n", + "\n", + "Once the job is complete, you can view the explainability report in Studio under the 'Experiments and trials' tab\n", + "\n", + "Look out for a trial component named 'clarify-explainability-' and see the Explainability tab. \n", + "\n", + "If you're not a Studio user yet, you can access this report at the following S3 bucket.\n", + "\n", + "The report contains global explanations for the model with the input dataset" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "explainability_output_path" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Analyze the results of Clarify \n", + "\n", + "In this section, we will analyze and understand the local explainability results for each individual prediction produced by Clarify. Clarify produces a CSV file which contains the SHAP value for each feature per prediction. Let us download the CSV." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from sagemaker.s3 import S3Downloader\n", + "import json\n", + "import io\n", + "\n", + "# read the shap values\n", + "S3Downloader.download(s3_uri=explainability_output_path + \"/explanations_shap\", local_path=\"output\")\n", + "shap_values_df = pd.read_csv(\"output/out.csv\")\n", + "print(shap_values_df.shape)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Create a dataframe containing the model predictions" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from pandas import DataFrame\n", + "\n", + "predictions_df = DataFrame(predictions, columns=[\"probability_score\"])\n", + "\n", + "predictions_df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Note that by default SHAP explains classifier models in terms of their margin output, before the logistic link function. That means the units of SHAP output and are log-odds units, so negative values imply probabilities of less than 0.5 meaning bad credit class (class 0). \n", + "\n", + "E(y) is the log-odd (logit) unit for the prediction on the input baseline\n", + "\n", + "y is the log-odd (logit) unit for the prediction output\n", + "\n", + "SHAP values are in log-odd units as well \n", + "\n", + "The following is expected to hold true for every individual prediction : \n", + "\n", + "sum(SHAP values) + E(y)) == model_prediction_logit\n", + "\n", + "logistic(model_prediction_logit) = model_prediction_probability\n", + "\n", + "E(y) < 0 implies baseline probability less than 0.5 (bad credit baseline)\n", + "\n", + "E(y) > 0 implies baseline probability greater than 0.5 (good credit baseline)\n", + "\n", + "y < 0 implies predicted probability less than 0.5 (bad credit)\n", + "\n", + "y > 0 implies predicted probability greater than 0.5 (good credit) \n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can retrieve E(y) , the log-odd unit of the prediction for the baseline input" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# get the base expected value to be used to plot SHAP values\n", + "S3Downloader.download(s3_uri=explainability_output_path + \"/analysis.json\", local_path=\"output\")\n", + "\n", + "with open(\"output/analysis.json\") as json_file:\n", + " data = json.load(json_file)\n", + " base_value = data[\"explanations\"][\"kernel_shap\"][\"label0\"][\"expected_value\"]\n", + "\n", + "print(\"base value: \", base_value)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "E(y) > 0 implies baseline probability greater than 0.5 (good credit baseline)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Join the predictions, SHAP value and test data\n", + "\n", + "Now, we create a single dataframe containing all test data rows, with their corresponding SHAP values and prediction score." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# join the probability score and shap values together in a single data frame\n", + "predictions_df.reset_index(drop=True, inplace=True)\n", + "shap_values_df.reset_index(drop=True, inplace=True)\n", + "test_data.reset_index(drop=True, inplace=True)\n", + "\n", + "prediction_shap_df = pd.concat([predictions_df, shap_values_df, test_data], axis=1)\n", + "prediction_shap_df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "There is a need to downcast the probability score as large precision values are not very useful in analysis." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "prediction_shap_df[\"probability_score\"] = pd.to_numeric(\n", + " prediction_shap_df[\"probability_score\"], downcast=\"float\"\n", + ")\n", + "\n", + "prediction_shap_df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Convert the probability score to binary prediction\n", + "\n", + "Now, convert the probability scores to a binary value(1/0), based on a threshold(0.5), where probability scores greater than 0.5 are positive outcomes and lesser are negative outcomes." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# create a new column as 'Prediction' converting the probability score to either 1 or 0\n", + "prediction_shap_df.insert(\n", + " 0, \"Prediction\", (prediction_shap_df[\"probability_score\"] > 0.5).astype(int)\n", + ")\n", + "\n", + "prediction_shap_df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Filter out bad predictions\n", + "\n", + "Since we interested in explaining negative outcomes (bad credit predictions) only in this exercise, we filter the records to keep only the record with prediction as 0." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "bad_credit_outcomes_df = prediction_shap_df[prediction_shap_df.iloc[:, 0] == 0]\n", + "bad_credit_outcomes_df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Create SHAP plots \n", + "\n", + "Now we try to create some SHAP plots to understand how much different features contributed to the negative outcome." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Install open source SHAP library for more visualizations" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "!conda install -c conda-forge shap -y" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import shap" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### SHAP summary plot for all individual bad credit prediction instance in the dataset" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "shap.summary_plot(\n", + " bad_credit_outcomes_df.iloc[:, 2:22].to_numpy(),\n", + " bad_credit_outcomes_df.iloc[:, 22:42].to_numpy(),\n", + " feature_names=test_data.columns,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### SHAP explanation plot for a single bad credit ensemble prediction instance " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "min_index = prediction_shap_df[\"probability_score\"].idxmin()\n", + "print(min_index)\n", + "print(\"mean probability of dataset\")\n", + "print(prediction_shap_df[[\"probability_score\"]].mean())\n", + "print(\"individual probability\")\n", + "print(prediction_shap_df.iloc[45, 1])\n", + "print(\"sum of shap values\")\n", + "print(prediction_shap_df.iloc[45, 2:22].sum())\n", + "print(\"base value from analysis.json\")\n", + "print(base_value)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Example 'bad credit' prediction SHAP values.\n", + "\n", + "In the chart below, f(x) is the prediction of this particular individual instance in log-odd units. If negative, it means it is a bad credit prediction. \n", + "\n", + "In the chart below, E(f(x)) is the prediction of the baseline input in log-odd units. It is positive , which means it belongs to the good credit class. \n", + "\n", + "The individual example is contrasted against the good credit baseline. So the features with negative SHAP values drive the final negative decision from the initial baseline positive value.\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### In the below example, the input features (status = 1) , (purpose = 0) and (personal_status_sex = 2) are the top 3 features driving the negative decision. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You can refer the data description to understand the mapping of these values to logical categories. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "explanation_obj = shap._explanation.Explanation(\n", + " values=prediction_shap_df.iloc[min_index, 2:22].to_numpy(),\n", + " base_values=base_value,\n", + " data=test_data.iloc[min_index].to_numpy(),\n", + " feature_names=test_data.columns,\n", + ")\n", + "shap.plots.waterfall(shap_values=explanation_obj, max_display=20, show=False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Feel free to change the min_index in the plot above to explain predictions of other individual instances" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Extra Exercise - Calculate Bias metrics" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "bias_report_output_path = \"s3://{}/{}/clarify-bias\".format(bucket, prefix)\n", + "bias_data_config = clarify.DataConfig(\n", + " s3_data_input_path=train_raw,\n", + " s3_output_path=bias_report_output_path,\n", + " label=\"credit_risk\",\n", + " headers=training_data.columns.to_list(),\n", + " dataset_type=\"text/csv\",\n", + ")\n", + "predictions_config = clarify.ModelPredictedLabelConfig(label=None, probability=0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "bias_config = clarify.BiasConfig(\n", + " label_values_or_threshold=[1],\n", + " facet_name=\"age\",\n", + " facet_values_or_threshold=[40],\n", + " group_name=\"personal_status_sex\",\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "clarify_processor.run_bias(\n", + " data_config=bias_data_config,\n", + " bias_config=bias_config,\n", + " model_config=model_config,\n", + " model_predicted_label_config=predictions_config,\n", + " pre_training_methods=\"all\",\n", + " post_training_methods=\"all\",\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Viewing the Bias detection Report\n", + "You can view the bis detection report in Studio under the experiments tab \n", + "\n", + "If you're not a Studio user yet, you can access this report at the following S3 bucket." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "bias_report_output_path" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Clean Up\n", + "Finally, don't forget to clean up the resources we set up and used for this demo!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "session.delete_endpoint(endpoint_name)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "session.delete_model(pipeline_model.name)" + ] + } + ], + "metadata": { + "instance_type": "ml.t3.medium", + "kernelspec": { + "display_name": "Python 3 (Data Science)", + "language": "python", + "name": "python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:eu-west-1:470317259841:image/datascience-1.0" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.10" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/sagemaker-clarify/clarify-explainability-inference-pipelines/credit_risk_prediction.png b/sagemaker-clarify/clarify-explainability-inference-pipelines/credit_risk_prediction.png new file mode 100644 index 0000000000000000000000000000000000000000..aab7849d285549c184d03545bdf2bdd543295a0c GIT binary patch literal 344622 zcmb@ucUTkI+y6f()>VW+5T%8VA_PJefrKh5kWd8$5be#n!QLPN%dU04_v}8O=lNd0>$$GqAHN@Sn~(eNbU~fQzt_>2 zG8L)k|Fd1w&BYa|ulv8!_5YI={U={1M@Nyy|2&0g%730>#%|Hn|D-j&4p0BDW8h}7 zzyIxN{gc-_zYX>$XNhx`3Um7h0OaEt$rT^#e^MilN9JyzYU2E4gt?qlQcefZf%Kj>E zoEP>#$NjIVnd{c)rNEx&@GDAT=Wc{DXF%Fw^F}t7-UewsUy>hGoyGwK*%*?Np0o}@ z^0DKWBqg!8z%yt=S__VWr~daCNIU%}{a@FILl84xxWDy;)f?8WC-}3nShlX+@fA-JS{tN7++@yb!SpHK|q4iE4N07NOaQ*;-%+~(@x?e{}=l{;` zpGNXO8|M8}52ko*i^ElnK6x0!%rPbmV$9}ZEPdKrhE~AmR({mDm~nJ8)ytL!f=mO(@N`W$=s+C+o<-e9>c|za$;F zKso`OB8OUbn4y3&cOa=tfp<`J_8YPS%Y|}rI+PXVpwVBz5@G}}gaV~R(Frd^5VAb! zJ8)Mn1?amq66)-0J>=qZ_TXILrVc1KAFm$B%g12Q1*kt73-p_WTK4%1MYU&Ap$@>z zUn28>_ZL83w6pe=z*_P)U;+*9pJtwP7(u8{b3K5~TlWH^>)~#xa}Pqvhh0B)4p@G9 z7jX660wC=vlt38g!&W$khN5^I`dzU1m5g7pyppEkmm&z`ot**jw)Z=rkSYOYGu{H7 zb9$j&eAvnaO6rG!8xDbO(9KT!BS_-oE6af=?m^8a9(g7MKKck(rC&qQg+VMhQ+tpN z<$@qNj#^LxIYu@Qfygp=F7{9uv_iIo4&~1-$$`D>fU*z3Y4sumVO>6C0xUV54|Kb7 z0yy)Y8mRevBarfGGaR`bMNQXpt|Q3&m)uw^m$G<`ao{Qoc=j^qrS?F*5NNO5@kF=| zw}%aFfLl`r?S&gvzW}Iz5Nw9?$LTm=-4z*d{e4G_&;JA-|MUrtxrw5d+jvs2HY(o> zLFQ!E*1gu@OYf+Ug;MIs&9nf9lt3AFnDM|SC6l5&V0Xtp z;10~jB#e8Rz_jNWFMhfPM}9|9=ciIA1>&EwsR&|YEfa!AFzJC>M35e}6k3|2P0=8f_okj^%RK#fSj3@cay%8$O00gOjOifcLh*{y|CA2VjNZ8E~z* z7`RvlZDQc<;49$kXY*l;)5jffZUTz>cq#ru5YKN)xF?rvWha7IXN^KFBFNL$Uts;T z&IJXQguz`rU6%q^dm6kMp6jViCD_2zDa|Yd8GY0azG(D>6k5<|;h+<6!Ben-(U=cV zHc!`~sQ)%~4)_tCx&!h$H(?2W=iLO9i}wBxU|R_CfnuKvv|j;t^oVlZj2|bF?NSx9QY?aD#g+t!0O;a=sXj|4r)9IQgEik>R zEyrn_UNe1$n{IlQ7_al$w8sb4QJ7u~JEwESv^{Z)&SBFQrkBn()9R8RI_pdeYA)&o znXVV)=qxskY_rtSG4<T7{Fjb+b?j9o8sNQ|zah+p& zONl*%m3rpHi$s;4CQ(d2tvgHXI$lA(M$yKfC3nzp`0eBa3@v;ZxrnWS$C1}?-s;^WyYp`A)sb;Rp&rfWy*N{E zp3ikDQTLJ0X}O7RhflX+y>5%oM|FViE%GT8U9g`DR&L0oHsU_azd)N~BAtJTiV{oa zZ>Nrv$L1$eAJW|CJ5oCt>H1%(&Fr1}UDN{ZKK){9IDfysJJm*1fu9KbF3HCK7B(PT zj^7Y=VPHAlJ?yHo3BQo4F;Ry1pej(**q8nQEQ>_nue)i%5{9?Y_5}+Vjt(mgP=+Zv z$lwWMCiSg>gg(Zg8A!L(45rgd>kQ^!p+~gZ&o8E1c97<~B!22yq_0YR zGU%&+De?8_QT@Gi`^g4<3Bwje%{*Ch=!TP6dvxC#MzZ4b%0p4Zk|6btL=$*9e;ky|;G&;|}Z8czS+$dBX_4Bzt|_>T=Q@HJamh9$f|J6;(s?Oh7-EKTjV)bmb(Fe)4 zkJZMrI|fnI{g_mYAWKuE<@hG&Co)X~H`}wahel^iOM9Xn2&P#*K>=G#qkEiVJxx7( zj57L74SO_-FPi)%ds^#dB9}>p`6h>D2P6e1`LgVuaFgXS+Fc_PGa3EaRAW?j=_A=> z)@2P8_1Y*0@9ASG--my=RC8dCfvdyM0lCp!Li}KhjhGNR$fxWlEE_D1-b}C@Oiw>c zm_0}>(l;F&bgCXVy)&rYl3^+scrQL;nlW%y)^17~s2<#AsyVRxX{pJxftMe8Ovdjn zL{ZD)(MBC_LLhA%>l1Ml@@dHIyfiHtt z$`bHs@)gri)F9P&1Bx0NINyaHVTk!lu)+)GFg94Z$ovM1G7g%bM$!CV%$rfPVzoK6 zx5f$c^(fk=XC4G9HfnAGD#kPe-5R}V23MH;VwR4nn8~k50eBeDH*GDG=hz6wLaGp?Z6ei9(O7k_7liHpqH=6vW?b>N+(xL6%JImy@cF+*j%#R`j5kG1e|F9$ zz;fq3!Ioe%FZFZ7)Sm0o`pSb_zd$X;?%Fg3v1;nb}Ml&w);LvNc z!^EMnyXMA@+o6YILWaJv#TfZ4F4dAr-fMQkl0p_Z7F)WIo5_DzT96y4@s@MRdlFHL z59Au=DT_bITT62+PLuO%-7I+I^@1N3>Ey_^YZks_a#xLo71^tAyM-Y+YWSgrJ$c{w zRg1k82KeMCDrlv3CiOV(i;X*#V_s^_pdNC(U`?e8DBji{)P2;K)`rw-`XQ??R4yya z>K-+R<7IV>O6O@?ZK1Agd2SU_-`Xa?s>w0>r`o8sZ#!eJnJjsII z_L8-%X5IJp)vQd5k;U4q7sT{MKUhQLvx{D^2B>cq-C)TWT8j>`+S!X1ZDAeYE?cyU z#pMSrn$KD%T4}3b1xc3M9${I_d~9=AMgwbX!&u9d*K7k=2PQgg`Rp!ea}-V=w2w~C ze!Xy~xtvtXJiC)zoc#s6Chkn1cDrqyZ`2UGG|oGEr(GcDA$y*k38#lkTdd~%%HO)U zn^P(Jb@5J4hNNe47$;bEcku#__u!O8A2|u5MT=f>dM39lcHqLu!s#CGI)XUI@^N~310f(M!RjiU86tjHuEMwXxLq-^FdKpkq|}}?u&%A_-P&j zA>C@TlR{)-CvzwjWq7`F*dR&>>2jcnLKD6@IEy@)FC2747Mv#gx1yQ+CH9wu??kQk zmBQN{Q|zOKzxIUNTL>EmB};w?FFp-kq83?wh_rWTErjulKn(raWoF_^e2AAw9B=j3 z^@9Xww}E(DBJh|(yddGPloAg~xbc<53Q2bMePXI)b?IFqMdHJ2ChAMfM1BshB^r`D z4(G)qJ>CvG#QlS39T?(wPZJ#?B+(yO4mBMoP}KXf^b~k3f9Vcl zvD0+ffXhn9PqM4Q?v4uC?`tHE*JOvXn2twfwIwpga#?jxF3xefG;q1*mean0Ut5$;%z<6vn@)ZM>9T4k z?E#NLTgUN%pi#BsqXE%}8BWOH5a>&V;tS}@C&gWTgB68}V>UMaSxVoIV((pNqo_2^vn*aLs;Ta4*fH42X7c{;_X4XsCVpPJ3Y(35h5#7?KdGv={|cH^VKf04*(VG zvL_)(Tco`esMxr@EvT5xJ`hywFZ=DFVs{;!Fcovyr_F~k_&psh?H%^_b+k;++W)CD zo9Jx+L}!Z6fc=Q}=de=X%S70s{UH0D{U6#_OAgx0wNKZqw!fi$NHEJ@roH#%1^Wxy z6`dRGFKd_ghT4y6R}a-YSZMz`w%OsH_E#tsM}ikT%Xvbqj=jTggapDrB$i@npRX9h zDlsNnVa&b;j4#P_I7W!8neXr`A-egx!(jsL&!wqgL;9M^{Iep+Lt{$C5D%CpRZo@MDpbDG1`!NPdjl>~xEK+3c3n19F$+ z8I0r+jMQZq6HjAg{*x~0bNYkaS+l`ufP7J)<8*_3_T*)!PI5=*7N>6VrQTH7J34fl zG>_sq)=WC@I|KU3uc#2|aNb0{qO0lrlqxi@bFruHa%yq0qE=BVT?o`F>J1kIY89R6 zGM8G(JmZ2;D@sG0Rn+Y@ADy32IfA3kSE-xZ7|tiC%q}zM7V73cyz?=tXgJmR9`(z3 zxJx!|0!3Z!(;@oc+DJd6%XRajS6KwQ-KM9Lwz*}|3w?2Jbb0}8wHuY5PrnU&b69KK ztms*#Kip>1*VT$$-_zH&WVqg;Q`?ug9;5qpeRSp1SN4s$*3vhPP+Z&Tk5r4?ycm#+ zJDvqv>7mIwuB-OA$11gWwX~5H=^X7*!7BH4_9$R+XhM&5tSt;@k5E=FYuLkywSlwW z1IJ3_t#uz~g$u3RZ?b&bKe@NCoVsthb69Tux7;_e)+tQgt62l;=^olSQ@|%5;eb|p zp5h$Ri&}P+lW)1jtCQM?s0+%gB=$^rXjhP(o0-7;I=*u>^#jdg)2O5QKL3a$L6a36lU@0c*% zs?dLt(A|~cqbYpnbIALn@F~^OTPb`<=Xl=`-eFz#J}&I!{N=q%c!E#xP7&@G`FVQ^ z%OvsMbA=mZY_FHXw1F0{L1F#qFJ6yCvnD3J{ac~m?e|vPg&+YI;yQd-;2QBdtFfRq zG0F8KWk@{Xjgonid7(GRMUrWWmE?8ezgP>&E5xrkm1JA-1KxA8rnpCB?=vJmF4^EC z5!cC@d@96M1H(Q!;!~qBKKT;sNpGJA9ngmf%9Wl4&)*@f#tVWcqzvoTD_2X2ZlwYK z(lPHgU!07xO67~lToYUM8T3 zX9nJqze(?pvdG_Lev>hjh@Jy5Vj#+|A;_vMxd8t#iGQi3j@>?-LFL~~_WFWNmtlyjg4`Gt;>j8pT?JFCYF3a$(l`96W z`?BSqMq_-l2Ubsd`JNkum{ORz0{k&GUh#*%0j*te!p1hjUQy^?w@R%fdNcgLC_e{@ z{og3x#bx;ap&ZGi`FAVj#hw0#lwCDX{I@HQwOsX2QPzof`gM^EbF-fYA9+otF^+E6SpstCEfbD?^6HPJW zfvYBJH*f-7CpbkZfkqSA)x&|vL|lt@z{rH3SUceS#3Je20N#Ywz^?%*YV~MH08X7c zu`$4FVl9fsC@~d_osX$lTqda4qBWmU)MF&-KJ+}=R@Fc((IE(Yca&8Sj1bc5f?#{0 zR!}F3R(%gTh@yg;plvAHJ`|J$D)u!9qPhbggS0@!1_R;BlY0Xp0t;8Vpm7Yw$Pme% z=iwuQk<3@0_28oee9XYUL%pBCtjJ>T1E6BBz2iZ}>b)Vh${~9F02RCD^$0;);=C?` zioNqXh#*~MUT}rJP%r4=4HtXQLXdH)H+U9^^iJ1-7_K*7=Y{qg@5MU(rk}luI#-B! z-XxvVWLMq+i1TTdh1=F{bQ`pho-X|%)`i>jU1oi09Yjw!wRK2IEX4#kq49s9;SD7sE%C`vJ*z&s6Q4rLCmmZCw?FjJ9#l7BiX zF#fwxqp)@24UEhXj3rMn*5qLn%)@w6Oh(CQXCy_3qSL#C;!B|nrBE6vjbrYPuam?=fnh`ElRt)J~@>zPG5CDD4=j!x-sq7@5Z~mM+Fva~7juCB~D_ zFm{&vKBUTf*ZOJDrVj1%i=?HGW&1A<2g~)lP5&EuuugQjZl!+(z0D%V{{fv(YVrS0 z-{xC|kyeS3e%b#UeH+Wz|8M%XQojEO`nFoU|9g75;5YxL^s=^KIE&Ny(f=X6uJ^wG zNBYfS-GHSG_px_@nn`P*HSA)&Ly$ltR=4iwz!ug4iw{9YtUTwmpb}QBUrA6LixKV_ z6wYEWl7p7B=&W-=%UFq=#X(D0@wKOe7P8`6LW8EWqT4KvHk3##QPz*`1zPV2=jf6Lirxixq-fw!RR%Y-@t){Q?pzj8S*P*}Bc5pS6|WaUhrqf~FjB+pB(x#A-)U*W&fi1$f7 zYo)9%7JB3HLeR<(im(+wBh*B=$%+%EC0y>B7WPHBFyLLtF=0t~d`N?^fH5AjQ<%eU z49O90;I0md71H^pAuz5;os`kkowkS z@X5wv&`Rn&aU-5en<{2mO@wQSDXw257K*h41z|hHEwtva&Ef-$O=0WAe0E$|n0N=* zKg>m3#CHsvFJ_7ep`XPJiB9M}F-~L@a+i9#ZH=Z&X9We&_DL^MFVL1rrSyZeMbfjZJ2XA%3C=s}7pai1 zNgbBfi43S+(lW^+>H#TB=1Scn%^nD+W=i)eTd5_oUnb(HfAv7@Dk@kGo-%rs{1En8pHqN;jqO%E(l>~Eq>$Jw zT5GH*bKf1Gqo6LYi+QG;MNN-9tW1ml99geS%pQp>QAU*VBiAbfc_xu7m9D})kxP`8 z;=dwiDRpG4BAzL}5A2CJuIN;rh-g#lPQ*qcqsvfqZ91l6@wu3aCG1sO*&IlGuKMg@ z#aN-b8XUN$TwO|KN5@X+tTl=bo|utU5$&S>R?-x0q#mo?6s@5i5!yvPQ}>FmL|su| zkOhG;92&R~wMAV$Y8+*yo-;8oDtTfWiqc`k1hd`yK*jo!K$~oBQegDtF}$u4=FAo) zHp3`Pwi=?_aWhuiqiCkl>IEoT+`f7$iq^c3d5fYgA7c7ZRD3r^f}*nBF`#;bUNI2g z8NC++&oCJu-HxePsNWROsIdL;mc*8@d{D7NVg8_E7Gav;Lt{gw*bIN@7Pt@ZP*<4W zo)YpIRP1y}7t9r}4ygten+#zfNP9&HjDot2L!3dyUWL#QWJEXQFsPU^v;|YKP>v2n ztwTz14|SG@T)~KWLJDt>V=g{{$ZIFwS@F&DzwawP* zw1r$W+fBHEk@zy?l35*jd5F}kChT^|6|?85TOk<2CXE4^#FgAYx-agq3yxtiSy4z9S>lAv+Q8lzF%*n}V zESBo&GzxX=NP!V;*fYv1+;3qgDdFZOVY?~OP75$n7Gb33V@!OCk(rFKWE^8nIYxmo z#*>|4dnhrT^swWU^j_DnQOf?IOzJ9%dW=kq_8oxnz7@?1YFLk^r)x=@L7QQIn~G9V zCpGma^(W;a#(x)jIJRbXV=VQ?SaThtAQt0EHFj2K4R)R01llUvs-Y^{8QPh#@bIp1 zu-x!)h89E>Hqs|__lDQgA6aCDi|JQM-QhC&Mc*?RX(uq!hcU897)ym1YmG1p4q0mBgMPP{AMp!g-q7iYT*i*E?8r??VB-tq4#kVj`e8h zdsH?%ZtVBy1SraYda9x~Yrf`z{^J08CVG-Fe9voUy zaEuEloShm&1iyN zx0L-OHlOFg4Tw$Wx$}<4#_?Q**0I4nQv2yxS01sO8cXE)_Z!3p@wSh+#8&dP#-GF` z))k;=>?$F&mspihf}a&vC#du^pqJIZBEm(U~GWle|BEhlNs zA)zz({F-_pk-uaOM`$NJyCy?uEvBxC5E8mSuL%-5^+Httwhe!^UE3 z_K6_|yEat(D?TEAx|n12IsUFV!fi@|NNg2&ERoUvBU&T=4{>0!Yy1tdZ%%pqIk7kQ zQ~Y7E2fr+yCw3B<#%~rc7T<|a5SvTO;#Z07<+1VM;`NH$_%iWZ^|S=1jyM!em@kD< zQo^uQh(DP4E5x1Y^eX8}w_S`)Qp2Foq}Xm%^p(VW(!?ZX;x%bpPJH5NX(ab!qEH&b z7bWhJ28iMk+0tbaqr@nwqx4mxx70;`E7423PVpi!Njj=#CI0LQ0H1tUJ^;S3Relox zFsWF+&H8fkCi!Z2t&~E!O^|wBVgKJTTN#(-bxF$@r{z`bkBo!zZQL$Kt-P3D$Ji{- z6J;|JMc!Q!Qbf9<)T!yhaO0_>$Keb%FBFT7NwR$HjdtITL!@0aJO`Xr5xsImJ5c#ijS0_j| zuUn|5%8sObRg(w$QXZ)tl#?kHs`Ki0NdJza8!lrimT?qQu}l%Dm{rzwP_ZEVsdN;TTu+74@3BjT(iz;I3New< zKi7|dikYupg{fHlovAlq)+-6#h1`+|e$&)8aUsP0pC!QCG!(ytL*V1G5)z^2vJ)VV z#-_!?To`v@d>yFRV0<)!2#exP5kzdbRt+k4Zmj}A`pehCczC2eel>!qwj_WuLM}gW zpoDAx(tV-R5}&5)Nmv@6qH9Nd5}%-pC+~}o#(kr%jbDKqqFcrXcw<(P9<-TpJg6Mof)rXzBI8l9%sIoxguWA+@RzuP_w2Z z9%nW#$cWc6d)Q_fKg+DAQyFh)cDA=KKFX|X*dYFf*~l20@X0(Ha=GCMGw%rto%C_5 zanRoic_*32U5=jcrS;Aw{8RVj2asGT{T|0Pbc&Go`~kA|aJ>*(oVuJ>?38 zj*%+FNY}*3EX7zl9b?S_i~=IYlf7`(mCo!04&{$tzXYl8l%Xw&9=@?-q4W$tH)xg4 zG$^se53~^7rHL|HnE80(0a^sfGO>mh>8pj2W{Z)YhmrXhV`&t|nkN_q85rA;#9CTZ zXLI6F+J@eY#OE~O&>nh1_{_0bMs8S@zPEOsz78JeVL^q=&f zzArJ-?qmFSVNtPl={bzGju-{MV{G%Iqja?MPli52zqgqY$%q{4V%%cf8p})ikn{oC zK@=P2Z4>*jKX zhi%stanr^+*VmU_gZTkZ9z=TA?cojTb*_8MlUNz758~Chyjm~fWd}s8f6I%E+?cAx z3r=2xF=u(|TwX9YHFXYe1@B1eY~G5NpQ+P%E7~`tYVcNey@0(beZ17Ayko;PsSSMh z@%d@Zbw^Ni{TJa2@M9Um%lKbX9}9(6wP`WJEv}_$1H#C_S?Oe0v@k@w9Y5p+$FDdVp|g|DyEu!jcg}`dQI0*tnd zw2AR$`!WuS_4s!)_KI;L`-~l8ZE;IRzId+GEQ2LB>A#(^T^v7hDdV>ImC81=wFAa4 z8MCCIFBw8<8@@GjskFj6CG)j3!L2TE9z0x4X@~l4TE!C0i>K-DBW+lrZ z{*yDnrMcIbU*v9EXEEQ( zNp(5QM{;}7B=efwMzVt`mYd0Jnf3B{@;l7kau3B>X1BaeJ)M;_@B@7L7v*$_dmT|c z*Ee7@6jB?zoTZ9A?oGKSiqz%Jd729M)nR!`#hldc91F$H+?pJ`Vr$utoN0=Zx?SuK zip{Nd>=6Y^@`QauktW;EZdW7@tYw!fh)NB1qoPh7kYlFoM$w!HY9@SsQjMutUZi@F zP2)x{)enzF`L3$|;8mNPRl?YXn-{5a(tgXURnN}N$a7a~m)**fZidk=g`MEfg!lx*jes9xFcsub~{(clKJCYAE;<}^x8&S0NM1CTQcAUu%0u__y z!&@SQefi*1Mu#@4QFP+{M(Dvny+loeQ517AywPjN#K9XFmD$kOBvxd@Xp4f&hB-1? zLbf0Hpwg`Gpkk$2zk`Y;XR+apUB@hYP_g%!Dp0Ye%yS4L^~;2aqFg@{#`cP!EKoPK zPBtA=v8)o^bOgyP#{Z%-o@Jw}AXsOa=?)OzWX;#TM81^ui>`=Tm-$VXOHa#utsBo; zmU&m#l`|{zlJ4BvdzlAu&sz3pR^TqQM`to|{BG^cTpYXaOXeY5;)qX{0gjLEDzhO!N3I_smlBkUs0oF7wdg+$^&BhVj_!z2=WmG~3Pz zVtrXmr#-lxnJ=B*m`}+Rk>)$i!bmaBY$eU7W@R2C;S+~4kCJql$(hGVzm)u)*-n~T zb0G7S(-(nX<{784lM|U|os^wNGw(VndihxkoIVdd%sNPN7`v4Ho%9Ff@;l`Mv==563W9ykm{b2OUOraG*?N6ogbZObAX{{FXvzfHhq{Qq9+9h9V zb|mc*Z7oK6Ge+hQjHS64Yd&HWa51*&W=GLFJKNygf!;0IzlTpB5;48PnPUuAeMCNr zvfLOnXq6fas_yU1dkm_@A?7g#)me*K#R&H^VOB6A!e?M)*kEMkU@X0lv34a!!5xfk z(ac?p$j;ZyLyU~x6USOezJas|A~b3##rWyk)MK5cnD+r-@w4`#Qe{~_`b1Ci-fJiw>Rw; zIgKyge7qI<;Q4*xH}GB7BJpi}+@_u4mm}*ZOZNAV=HrXU zz5Wkluv187T=L0lAhwu{-3hN#Yg)m<;}&X+YnXR~GV_$Ms(dsTN%~IqqKg6+AtX#dC^M}GL^)`3Y$oEY%IIaq> z@r~Zmv8G%5RV8WS@+wvI=2>OiRcFf&mldc^ z*S{{yP>Byx%i>hWJLF}{RY!V~%Ru!8HOq`t2b3M$yDAU$ys{8A^pndtn2K#R0u{Tn z^#-VzY55*du}9l-LB%Y$uLcz}-ru8Eou2&wVitdrjaA%8_k#?Jh72YL1cVZR}k)BY}3YDZksV56xkOt@mg>OkW znSw$UsjJkb@FS_C=0V|Kq=SO8!mp(IHd5ht61VeB(Lz#j@4cc8q}pM_Vhz&eu^%Pn z&g)RLMB5i;tcr7e<8-x(CVZRCuNLj}{ln=;(FWfa6g5VgHby!FBl9-K(&ZRy0>W z9I@~(W`~=Rnu@)`-F%xd(hgvx_hV#PV=Uc^u~rwO;GZMg?25g^-8(NAuL)n(TUC54 zoI4~g@dcLNJJtCS59_Ehl6JB@g zq;SaUV7ald$F-$ASomw8Yk7{47gbhXFXW`~%Z0)%xh#xjDH!=>7=>LJ#q)rL-FfAw zg#5mrEJ_|D#Ks*R5x78x$XPv)Vpiyfg68 z_O;>-(d6y>#1ZQ@Y?q4t^XS{JihZ|wVyyGRC`!gCZry%O?A!f$`+ad#KWoP{@tzTf z9eEPMc-qeT4)AB&PfDTpz5R>yF1~fg3h5c^>>Wp>^=?OYPLnc&HttN3hD3kbc~R=H z-lGDM8f*-zFqdkTFRn0?YSquFAV{@Z7gU%^wIqQRMp7;5t_lmOalg7^g*0ZQq2h@2 z$@tk_hk7U|x^tskjUYP*FFe^0l(K|BGyCC9{7*zN2y*sF-nOpZtKz zwCdQvOBCIeuhd15UBimc`U@(liU&51mG>1A_rq1mii+hYt0oon)k)PQilwO!tG_Ac zZ!)M^H}Yeo@E1 zsj9#oe!Lu2-X1evnkx4YiMLk8KDB{IRWW-yc@$OFpcT(iwL#fh`(CA|ddS%6-MYU(#bWDTfQpUR-31k^uk%7-uB>YPEQpZQT!gPu<7$3`ulOF; zfRA?AR+9!QmQ@2SmihxWAdJ}R%b;S_)!>h~2dkHYinUaM_KCJtodgw&tJ(lx2bxx` zf^YcdU}pwc@4xWA(w6Vb_A)cpWlots=ADyZdzV-UhfO>MAZqsm*h)Tje335 z?yBv2V*2^2EWH}mu_~Hg8mF$xNzaFuQ>Cq^D-5n2*L@*2sO;4}-~9|&*Z;6eQ@222 zS;f=MRnMrg)P-JO)ddS5$mOAB3hviRTPuI_fXWWbosI`9#g;`B!^$?xOzOGH-z-ejmop)uj7FAEx>{ z4LnTsrf_%N9o0y9hDA;lKU_e1QWY59<2zpE9e$0bz{r?^krjinv>Ris8%DuJjBP)tw*XEV(+!2*EF()F4Jom?BD#UHD2tFi13=F?2aT)jO^7I zIR`M-e!$p5$Jq9$#*=-jE1@QaeXCEq=5Wre;RUtcIXlKAysNno>*JBR2@p+Rz>U+} zTKj<;ZF#S@mmA^IQ2Q&F=8x7^b7_%AwOhHgvB7t*L#1V&lW3}yxUO6{?%Gku7d{T8)d_^Rq7K&mChSbPP$w3i%Wc6} zR)vv&7^CnBM)Bf0iST@PRoxX~U%zfWBAPe+vYsny8h78_e{edA)*r^ccdox8{((=e ze}+~?-H+d+IfaC~=^xG8$=?tJmib(Ono#f5o0ckdP#Y)!&gmxxis#VGFF zy+>Ri)!KbXT-jf~`=R*eh|iu-N%(lq-m;EM;PYn7z>n=&CVh)PxQ8Vju+HCeTzcBA zW6x{po}e9jt)-h|=Imui6V^xWFM;o%*VA zj>2t|U1Ng6WV>%;onqb|r^f9H+`*rXTNSttw6Rp7+e2vFqR<^!+sGLCTfu8=Rm7`e zn=+JJ;d^41Iuk(}ZmMbesf~7Ol8vZQq@L$NY%)>34vuLOsd{4Vn+d9>w4UZh)#lBn zf@!KXJ7|JfRlwd@fuSnm&>I0>6>;jdV6H0S@@&`}F&NzZT@|iuYL=;HsLl!2svtVr z^bu3BW_XuK|7P=bP%(W$2&mW}0*KD9AhbZtFm9m`dQ|CyLQu4Va1o3~b{-Nzzhqyp z5d7egslrJVJ%bazM$s#QLOAR09^oLU*cahdP_Z1LD+(iv#_?aM@V-2>|7p(!dGG~n zrvOGz_KyUhUq0UiFxsL@njeFT*)&76ke%Pm02OO(HikBKx(VWUqV^^}sMx+H&@UOY z$sSZ}Llaz4`Fm3zsMu}+e3JmrGFu;>rO|A`G~9)zz4$7ViKZ%iDKVj`1fNCT*OY;e zp`K}q!h6!MG3!mKHh$CV<^9(9Q176yrt!4iMsa#$joxyp7tmC`wDG2% zrlP7TQTMw#N1&%?54m_)&WBtQtYUE^4acn4m>+1|VCC%C(74{phGN^uu+pdg(YVHH z3cbED!tyO^bz`uloI_~zvXs=mYb09oTFy0^T4uGEHO{jP?q1bsZfW1|*T}ZC7^!d4 zw{%t&G(WOD0J(5U@ZL(}1?OyCy+&;pyt%TW*yT9MsX^w#po}(Lc8Q_cG+c98ML*DR z)5V)*-f-K+zO=ic*JWYt`i4H2X)XAMUgz<)+YNV|A9QVRc<+3>FQ;+2^ZnuTjbB`l z@qNu#TpA#kQQx}=(&XYt(~WIx_Up3nY@FwBNfI{v?w{r>Y3TB2(2g|7{1fOy4OjhR zSso3y{3A-+8v6ZL)w(p?^Y<0pY=h>~Ghl)u`$3(EFxwo&Ty~LX)9?{g|rx zML+_4jj<*?405?0-lTh|DL7nd(b{-3!qVBeF)d<^pI;+2B0by*BV#2-RxQTTF^siz zjDnFyT10wVYGXu1TIZL>O%VmX(#HD{zYdKyRYXo7YZR=C1l?~QV|)TjE=)4hooLoh zT4_1A=}^)}=OazQNezCZO$(CR!yjX0+{eh)z{sIutUZIV#TH}Rv8IJd;x1B?XVTT) zw@vj)KZm|G`y{i+ngx?7VD*9q?0;hs1h9Mce48iPO3UKrX7*tsJwi!e;v%_deTZZqBCRB?7CQiLuU>J9!Y5 zZ%N|rgm;>(xwU$H!5DXsL^5V`Hi{upyyFmj_Y^7dnF zQDJP46*zLmU2;JP_j+HhprLHWaB7QtS>@O>;q9#uwZ>w05Usc1)Ab$+HTY|+Vp@jy zF|PhC=lKx<{VffATGYIjZG2jaehZgR%lV9v`wb)C8l#YjvHcdtZkLt={ItHCElU2e z;p4)Mb&liOqRD#r9$6G53W65wDe}adi5x@@R$U@9k(uiak)B8|Fk3WRG&|~sXo_e` z$_pVXM04+AEW3b_e+T2gi+BaL?*3JzE7I+^6Ge(5hrfu1L__2L2mKEE!OX^b33!E8 zror&`;@=l&0S?*Z0S z*7p5I5fRHU2%*?eDZz?`rc#t{1*rle(nUv+E+~X5Hl$;vhTcMvUXsvzLhmG@sFV~y zg+R#u)^?uv`JQLKneUwQUGICn=bURYCb$2|)4!o0wFMjFFRGKZOuhKZ}fMB@U9qL^A->G-D< z8N56lmuf-)WB!zFq@4&viY$?h98I}RoRS(%i6%BHD5kU#v$c<=auHt}6I0I+UF}b& zIudWX+oXmOuLL=y#uK%oG+-tlhgqNu6YrS%o_K+nl3Gc;OFoz;LL6i8r0?n43wmx0 zMG}EX9j5#uv?oo7{0*g;c9Yz%P>_~EF4o4SeJ975JW0PmcDHAxKO>uYoKLSOs|TB< z&y(e&uca@MPh+HE79M~}I17_>Kb=b6L;jF)nEZrcl*vs2Jxsbc^DY9BUd_}Oa>(Fe z%A=ApZZU-vPi9mzmUM1riZO^coH=B#O5rQ&XU=_;}1}fH+bswl0e-`j% zD|TmV0TtVuT?JH3BnNnf?vQd)VHL{-^S2O8E>Nb}&RpO*Ozq2k0aPq1_bE`Z_ql#R z#R$3H5Hztd*A=LkX$}K2gP<(W9jRcY{6z$UOC(nbf!K97R|=?@KrZlSskr4(fr?$v zDFiF+Kj%CFDt0C3JW#Q)Y;b1bCE1mr4b*450~M>uJ^@rLBO8pmNQK!z0jb-v!Q5?O zAvYLSv8*r=Fni6+-xaWPDf_Mv&%P7cmdLf^3)$C^^QtD~DU>`3tgN2C z3d%)Z_Nc&x%;&N+amkD?a!IFNXBx}xzOXsdM2=t2DD#HgCd-aYQ`zrMw*V)7q0Aey zov(8;jb%&YEi(;dc*>oHpzP~vKwq*j zYGi>YS={Qk#oaUSsgIvxWUw?;)C4jGH6-=unIandZ;NH_)ev#=$~>sS=S$B-X>h-G z&pe{eir<=fLVYebD^pH=q}m|ULVcv;cxIjY_c7b7ry7cMnH*=0bzlX5Jr{w;YCh z3`BAxGanlWR7+)I4EDFrXKgXKJhmgN#UPDVo0Dq@+Dne66{t1Y%~sxmTeJ18@+D-m z2CZgKk7nJo-lvYrlCr*_FO#+3TEj{V=0jDO=pdM{Ct$|w!OU&XI%us~eLYLV+N@)9 zR+4q(*ss~9HXCW#xkqh5+s~ms1ipbBUuQu<{hWQyvJxM%%bZPQZ)Tf1KT^kM^E*fD zk7lhp$5}PPeAosP&4w9v5oUZg%)C8WYtHf2@3MD0f9lZ4c6DADyO1O9a+lVYJM9YA zPvyq=m4o(j*{?+~F?XZikmSakLccj#a*mzfx`tVfg#QkM*V!C@5$k8!Y=2Q_7npu8 zV20JhOb~{d_auAWe^)glXP5tpj?kRn{GG<0UjYgzfqo4@C?V$!WKl}MvX5NyvMcMMHgUjIJcsLEL>S&dO zG%^roQUJ{SWSF>-f?`}PQMO4khi4QIc zCVCNZMd`#uvce}G(k~3bV&N`L&}Z+afV*rzsZjO`?fYa);Xx^XiX_t%%0JbSyR_Rr zeJ6i1c~y)ezjN4LY()0=Fe&yWKM3|H{y?^hzF(Y7zJ<|&S*Qe)a2+PeuQ-Z)g`8hJ zPEKdoln^Lj_FCM)1f^g6jcFisr{oax94fKIo++j%Tav|qbZknP49X4VQh5g6VW8BD zk>Yu_w1n~U>BG{mj7KrPWn2uWl)Gizj0Z)RVb)%Q+2sV2l2$s*P+*jmy<+Z$pwdZL z#mYcLS*W25tkaO*UX}w?th0OrP_fq=pE6DwxGTnvJ_pjqJ#fjM%;CcZUrr`Jxz4nUv*BEwZ++14@>?~B@(C@sbUqV*i5Aa zP_e6(ptUb5Reyk0tYVkw0s>L4v4>yaP^FrX&t8>EMIo2tc9n;PY*aT^3JYD+wXQ@6 z$y+8>ObdxRwN^ADS?Gxh46-kbR^fxpNtmxNLIz;T71Br(Tw?_ad7Ri+aTm!?k*yR& z@-7^x=0z$1E2>ibz={jXM?j;jT)I^JbosKB`-$V_3sQGfq4F6iQ{9pBaVbs9%JOch z<4zyT>!bwGKIKJ{-@+`)6D4~S&X&KF#A1=<&XUh-X37I4?{&_V4@%x5pRb6LyvLNP zik55zR=j0-ft7Muw!nk(ZF0Thj%Akesi$Vj5pq2jL;;)i+{+-j3d@zUb-663$g(xL zH)y4@WjX)XjIt#;$N0=Lnw)N)L)nzvsT#@hO>zf1k>w6@QsXx(j>}zP$WjvKJb&*N>NlYE0a|T^6A+=ClE<6EfLgCe#0vN(hJ>q})AgDPN81%<$m6aF}b34n*4H~O0%ccy79TMf&41SEMRqQsrLR+fZYjg%!NwQqF@-x;nD>s-Af4)c8!tcXGV8;8w%v~;5 zu%54WFE_VAbV!xg*vO3?tq8P9q}5fq*@AXZCGUI&SZQj&q!bdHp$u9$Zw$iA%b zb!MuwE2Lb64N&E4E=R0)!*mva>30TZ7#e2$2+Ta~@>Q3^)zuZdTvR)(D?DAi$IL2E zx-8O0s&}}F11rOROW^+gApaeL*;U8=QIh*AiT)aL+?6i=RvMv|2mBu!v{%gehgo-5 zO!!ASm%;RFf*H07GeH|>URnj!KcYsUg5#gokyB~tKQ$Iz#T{Tx-%#BamZ!aTI2vAxvy6%$nJ1`NXPD zyXq&2E8|i%0!iLi0Az$B)tLACGo*S~pCtojs4Kw01%*17w`KX#F`MS9KHLvn-b@tUXQp z^pE(8LVIv8kpbQS^gtK!7m*ow6}*a6EdC_^q&yWbftS!~0{d|Y8(ZRc;CI-S;Wyzo zxsBryctqe34#Gi^#W0idVCJ{L#6kEi_$@?zyaHZfoQluI=h8vAt%@Be}zbafOydbV?Un4{iXN}o}cf=w4dxRunt9vRTgNP6MM93vpMtuaV zNPYsdAOI#lm5@y=BaRW;iKArQS{afiL!wTn%LT-LYAC8;-$oKeM(9B86lD)ey_QYc ztWZ~nBr~)J>rRjdOycS;kqHh5>TJom9?o@-$sdEG>Ryo}qQmMU$*(c@U>2IeB>a3& zim7`__9r*jb(04eF7;Iu3Ix@kXWl^|>MfZ@LU-%^m={p-^%+cQMaB9a<_;alh7F8` z8(Iy=8T}3u4d#q$&x;L#jEtuN4XKPbF;NW_jMpgv4ONWLqT4WQZ^7*HhDph7c+0S6 zG&Npjg3)-R46I^}ra;B&8^L@^ny0ZEs91C3Do`=uCUAu5&L(f5V(m@kK*e;MzQJ>` z=0iZmNX>dc#fF-#fQr?@tosDBy8$MZ33K5@(<9wx_6^m*I&R|RD_9UQUJKOIA6?@)(3aA*R?HlkE>}>-xwF31v@HxS_ zl>&CPq=-aWrHYcIaD&=h! zLOr?{+q8wMEOXk93MD!%wQUy)@RMqt5xO0&(^@B_lz6lCy%2xCUF!qn6yBy~4VgpY zYgI!=Q`}mYk|}T z>h{GJr2J#2veZY`VS6%&-3+46g_yv>X9h?;@sRJpcJ>z1u@o#R<8 z!*UA@|2B@iFR+rS4)ni;t)VM0&~iiLhXkTIPc!LscJnSRMYZ*2PtES@q0Qc!Ew@{n zpJ>)RJkgBSEJPPJ2WVo#w3~x8qvB_qgEjs0Vw<08-mkgTtfi^aQQKUkd424A%L~m{ z^s=@*Ef5)L+n`^KK(yK$C<<aIcvyB*Gsf_Px?Qu1Ax%H9+0by<%D&me zuVAQXgp^x2ZJP()`J0z zG+M{~IU3`w=m2rU``&f93VN(NkXIR(@I9L(^$FcV5(Vv#Uwf?B=@9Pa3By%u0M zhHcv%K%on?PXvK+YlmP27zwtwM4UlxZhstcRWhYrJi<<{xUDt9SJS4=Ga}ZosZBN_ z+lJZ37g6dm+qNU3%zqGO_yWwtBQUX#Vb+YdPDQ-$lmN%~jV-lNA`R&0I})SffR*ON zdC=;^62Bv_bQmN;lAI2{q^ZI>Z0Nbf-wMI#o_H7k0<0|4#|I73gKxTrq58Vvr4WZw95KL`Ue2*aW zl%jIa5#}D92R&-cO*iy<%oubBW{(SF$kVjv8KdcGOwR{Kc}!+c2BRS5Lr*p%zsM72 z?L(MdAuuV$J>iT9#$c}|(*lBe6JZtWtpF-k)(hrV(i?i$fQk|N4gwY9@4F0C?3X^U zj`>bYUp!E;t9=cyiuHjgSS+c36Hu{{{+&R@8e!I9VRl!*q>^DS?CPt6-a*hXLGUx! zX+xFA6Wrr<34uUv89xhlptc!Mi0)TIv`)(41?JnHDLsJDi`C%aIlIEllDGGAclFxiUnFn-wMa< zVvdFhzdEKj>Mx8|i5`6*?4)ZydPCUUa(z@;SnZ+n=ssa_zqS#!@Wu#%k$$1Eq$?vi zLZtg^eLWqU9vCTrDjt$RBHv%h%4qq1-A96WTE+H~< z2DKtnJaQ66KfiGVg(B-Ij_gLY-?kaqjw*Q=JiLmE^Gh85jPeUF9wwn~CpHe3qEzxp z!yi#1`2JzE6qD3HWF_^A+&X+rDwbI=YAv-0K_de4CxDfk3K|0Jp&UgmiSvWs&Rmn_ z8Q!9haUo=wTjAq%$>9wOuWwHbttt3CEExK(;OO^ah^Al=es5?>;cTMb(6GY3e1)M- z1q6Qo5MG{4;vFoNcO73C3X_j!G>)_>>;+aXYvceciJJEX4-Tzrp(H$pE^E!mY7b^> zzf;Ez$!RU?OAX0u(X4!i6tpHDa)uPOdi~xFozZFt*9I&~+yIz>Z2+G?$3=i6U5HkL z=d}>y%0v6K6zS{{Gc7u>5@7&l+rvK$RRs-(Eez`=iigUK3}j=6_8ARn>>5lnRyQyk z>@ya!J~23C{Hyc*!7<}4eqDo9BPd*d@UzkPgwKO>Ml;ywgAAh)oZ{e;QF|wI@E0SK zG5jFSD3xwMvfnreSedo~HD$!i##!*?Fv*4_u|9m(Rza3Nlxh1>!+%J|cF~}7aL!KL z`tu;uZoe~gaM5m`|IxwkcDuu$53bk=CqRR2I{|FS5W;Q;ZtoDc-R91k!DF`JV^4>; zZ5QbLBZut1L(r(U%UfWj(`7`kX2j5SpX8cV{O+T=0gi&p zBcB6eB|nTj3}}_Z4zmI{nzqBCfii}qVZ}fb+l|9J1Mj+Sh8e&QGeQey;#-*c8(`wR zVRk}8h5<`s9m4{F_von6jX_BeG_oGiK%sMR3Vw$Xk>(uENXXjq%8T6+vSnu z+)U|c`GNDu^8hy+1o<9G%^P^xv@n;@tlGk%F6sC{&N z7XfKJGB!^TvcEjmKoE6*HkLuy9rSK2j<7fCDa>SVm<3TV@l7yEJI5~JdU_zR2; zAQ|jI&6M3>}JC*9ZhrZc}c9l?5gg z6QM(ttCXuKeaZ#O1%*C}EJarP8wEu{nbcBtQFb}#QTQmodSp^~C_KS^lns;((Zghj z3}I?u7ACSjDIxndU-H)CA@=R2(&#sjR3*O=BL> z@t|fgMQ@l<^O!siY-$l>+0&6)&X{?cNv&aw#}KG>jDeIAYCWUBC<10}5X`O^n3Ni7 zF{6<&H*tp<2tkuaU=^DL_JqEBsOP8VNzhx>Wy9>wgGp_Nxqz6=gUTRiendDP+?_1BZ5*tN z&jmZer!c|qhu$%P>L}I0cNAQ!VFGo#eTaDw+$W>X0REH!6r%>LI+|jDm=`99p$&Yv zTN#_d?DR1m#KL-q=pceNEj0)Fl*M9NE39Jk(_&!EKQDP;UhpylAz~u>p1v${?dU9h zMnp{oOCJh4U~7x{z>4ku_~r_-0)R zty1`84~O<#c+=FmS-gw)ElFDNRL}xrrArkIA_reqzn8Znu>IE~x4^=gghn2IO5f14vK z?wAOexvU_^+%)$=0gPN|3R=g3l`t(x@ZH=O?N&*txzjpHawle=U%anDnbXqoF%ScE zwN9JU)Nybz0=yBhcTPh`Ct`U{O-C+ieD1u?{(_DT8wO z1Vd?VyLJ??VrO&=SZOh;7p$8G^Vvd^%*c(iB_?r6RkP(LVFgcTt4;g}H)ruCPF?3_YfUVu`@cFG8`6_! z^G%KdEAMT=*oXFuEmM#-kG8Xrd^bn6>y@jX)3(2)88C~tFErXPYiqx1t266qKkIsH z*4zGbK=G`vJvH*gY@q#UQseA1`@RCF*--lq0%|tWzMeEU`^LVUQvUU(T>@QgHp>13 zu+s0g4OlUAyMf#@KjfA!IWm9A4U*q6SLtq|NtrwAo?&!%cEJ6sZRKpC2f~#CGf)I( zq~~mr2O?={w#XeS2%7!m&LK$7mb$Y^J+tNREXvETac+I|1GAOxpxw|#0>S8lmJ>LE zyiQXJ+9kDjzBF!)%YAI!)Wn8_z$ z78JrHXuu>*!lb;Okq+8OSDHfwp8!@YqfEfgH(XIqkWXotsAMS{np{+;e9?Se)S6cE zym7R&vF6-zw4Pn=+^6UVZqswg(Vl@TFr!c~lf7XUe1S=Dgh^V3NqIBVA9b1T2)-2n ztmI(0fE6puE@TeM@)vjr zH-8$_85IdLxeaEaI84INPr7!(?kiM53}nS zOiI?APvKsAKW%G~E(C#fa$xk$kgPqAT%j-4YN3SarL|WS-qIh{8fxd$&(xZmc+u9u z))Sj(&9%RIn9&ky-GZOeUetO;zoI>_^}@V_S(p!#umH2`5==_byeA=sAw=t~Ed^Gx zyDET{mt7S?`xy>h<)|wR<*qV?VFq7UsrEXZ(p6&8O)u&yb+D(u>?-qUqC0k#2d~og zyQ*Tg(64k=VOTH=A(*vNFuNRJQmSY#x_)I?(2Kf-A&ALC-4CpMqwW^E$QYv{QI8pQ z)L#^LGSa9#I% zceXKwm_nY9ncJD$pH?%uncOi$Oav2=(#?PvP*EPt+IKL!QeaY=U@{PYXn#V%!VeK*hKhz$Vp zvEc;}3;Wc(Fb7mD4Q6)|OllcS=JY}{Gz=DyLAyaL34(qNfC+ZC2eUY!VjwCDJc@Xj zdOk3%Lt(lp!3+kfi9p0Iz|26xEC;g(;4|WbISjNDftUjdi9oR3)_+HbWsoRRFJY``hdBrKL8W11N9YsZ38@^q8@J1fM&tKebvocUunUnoY~{vRB=Aa`zLp|^9fLF!ZUHW9zXE%$MVo+}G~Z!= z50KmAB=~&oDewiD(PP1xm{HR}d6{*WfDx4$zOe={ZvfOEv-e-%&x4jRtJ)?#uoVX| z>H#%X0SRi{ogyhV*qKI2Ari1byAkZWpk@Nj|8A0lE#MOma3*&>o;m_L#hwSelXe== zvg90~VI#N}x#>GFzniW$#(;8yptPSkmKGpn z1m0s%X@D(?Hvt!PKrW?=-T*BgGz}t_&`J{V0aN)*RH1+z*dT>@U;|w69Q#g!ixevqmqM)et=3ky?`b+Kt7Z>-$?{~ z{s^Q{@-gHcASQMUX4-L>#Tb|kpwvn*z3}mvsc@Lz4A$n0z*$02gFI}d;eyZ;z^kZH zKr_XUfQ~w#l{I+XU;{q81J1VL?ITcX4XGiZ#x~@Ei2&4qg{?GTi_tLa88CZ2VNQYi z(12a4V85&5hOP9P!&Z843xxsNqChG4Iw}?bI$hiX=xz#*?|pIyoMCU^BhYGkUxai4 zhQIk0Fe(j{U~g2hDa?9MdwZjLx51nQeMoQAlEC_nZtyoSg8}mfz>7j4PbPIxpog5) zQUpEKq{c;%{-nC8D4^OMGT?}4Po|xi=5P)V8UFq z;2feR!&Vm7VJizOLLmPZ7Ew!pbBg7FlNb2_M@)AD_T1?M?094a*c5^XtczU+B&2~e zUmz5NvR)w6f%?Bd=mBT7K$y4&bKxztjR{&i{DQ3j6$3R8s2CllVlGS_7|;#yUC=93 z!hCcAX2^S(u|L~E>LC376KEqq#XxQV6^n#PO@hh%`8jOi|LR$vfBZXGMhc>0;I(19 zGFYDvYRi%|coc0I0HYxE$acuxk z!R6n;#lHcnM~H#6xHtTK!3V=H@DSWh+?#o}@NV4(4k!kX&)vYqwQ&;{H}|GZ;IBUL zLvlCqbMHKG^1^0;>sCAmodr+%M$KAc()1(i-_)$ltM`#IxH(E zub_D5th$D#mbT8tO9qBU#wOrVsW!HD_6~O(@4C9Vdw4$b@(v6Nej4)Z`HRS?=$P0y zZ{NL7#-yaCrDtSj6&8IeE-5W5uc)o7Z)j|4ZfWiA>Fw(u7#td=PE1ZsfBy1yW_Dq5 z>D%`o%PXu^_`1MTd4Inwz(2h%kO><$Zra4Pi3h%}4I4e-3+La&ecf1c);K~yG=|uOSb~NT+qpJ?%EZNwP(`rO*oTX?ep?aJh{TP4!s(Y>?z04B?2FS-PmFqA zrKZ@R-z9&}IIf+l-TacZSvys1KQ7$X`}*Rxzkm7vdLBeS6-4N5IL{59>;3nSKV|_B zMEYNvMwz1K;$>6eYlfLkoIMPcz3dYUO$|QwXucJ$tDN56W4Xh#I#pk9k8C}w)luQ8 zspu$pd(To2V)Bb()Qc0MMhYgUvs?Hss;)~a49>JJzAq~`6H8}dhE%DqaE_|00=UH_ zD+tkoWLhrlT`}MUsxDqiVEfb2nPm2mE=v-P%P6L5hPAG28e!Iv9>PZY!GP zz`1AufycRiN1cQa392kvbUR2DLO9B-3P6b8(-nje6Xzac*Egf5VpLfhAVdc1&F|@g zw0YPk6KIkULJiF^JgUk%7`F0y^azBwkie1z8^o&iK564Tfe=$&;9np|r0qu(gh)CE zAr1?Pu_G@3+c^lYM!kg)#02(x)z4zgM$1nL>%3%^UOxEd3)P8p%=CYp00KhjyNa=v zAViclyN)A5{1FM#RQ*Sqx*YM+t>8NUabaSsVeimC(`1LE>qI%-mfuhiVp^>ZLPSbK zh-b7~+&5A1-Vj*fTGwvJeIatLig9%QkhOxie>s5-e`hQr{O^oKg#TS*|LzL@?qmP% z3V?wA-4*=Z75v>5{M{A&zpX1^dE;)X-1s>~|Hn-I?;ro+v-p`4d{EcFPuI4V=3~m2 zOW6WVoXhg15W;%Bi4!wCu=J(-97p5G0EBq(e7R}^XJOsLVcrPMlTh;CISuAngb{RTP$tiyg7TFxzs3OGrtEta09nev4&m=P%=7*mIA(Cop6nw;5#aj>;b^{u5HE8bSH$Z{ag)I#Yu_LQ z>%)k2-oZcAIAkD_CpBvOJN8hY>MSBOEN4Z+^JZ*gl4}(&%M66PIO$k%zm}k zT)pqpA@LBykXA>n^P{=pikzMICLg^CTKet%C-HaJr$6I{Uk=GkJ5?wvRi3J|?uii_ z_K#=E)eh2-@n7axpyd<<1=d<{p zxjfG;qlqe&*N!l&e1&2+W@FBlTn2k!`Vb3hC-!6rLAAM`qSAK}_9dR=k2 z(e|Gbrfi_K^4Koxk?#)s%jw1udrN{vSQq!Aw{n803EW@pO^>>Yn)I8j$)t>;<2>el zz1}bQTv0jfwzEgKMWrd4Vw;KmV%92{U7KT9{k=3Mtm{_ndojPWMvb}3$*;;kY>hdT z?)KbsXR+KrHS**OLz>L9c+dTF9hznz6A-Sl-XF#I?u*r_n?El7<$n8!T4*`qqdgAe z0wFdXP)a@%UGSvaWKC%8CXTo&7S}&{_NBl)t)JW<62sJ0&So_<4I2iHd@g2(b$#&A zxBi^HW(SYM;x7*ztP-P0_QgM3UU^~mIeL$9 zHrKrmR<;!tpJwQ1^jBvcHz&*d zhn*kLgfI_txBl~@{&Y0Jv7B3fs2cN6hyMTm=s!*3KkGxT@hqk8tBq#vq$e>_xkj{g zH{n3y-FFw8V$?k!3+P77ZI*QG*w+}}>J#w#&JR926@r1?VCdsuA&bCURHKf44Qq#f zY(0Y+RE}QbzWT;mjxK2GvEy;DiR@$H`Sd~Q&tbQJ7|bK(EuIaOUAG&Qqa$y2&07{G z+{V0D4jj_WHyrX1zeUx2b9H+@sPl@pd zF7GjYbj*`myEm91&k)pRjpy#yOb%v04^_S^pqoxM&tuW1LVYa2V>pkL3WrbLxu@F0 z?z|~)v-NdL%tLRJgp1_Kb04l+BxtaY5!vEl@jVKQ$aMlmJ$pT@MG}mfB~LHp$-P*e z!`ZR+31pbJx#n7EZ#<3rfZEEdtZQZ2e5T`YWP9qheao?AJF!f=!C>vpA4?!afKhxW zeUQtUt6`=L$+50#zomWj6z)5#=!yK{(?g>=Q#+WE8#0y9~t%|WnvB6B6cc1geMohd0g+wQe3aMdHI?N zLH6B2t!{a7{f@7jugYd$OHITbw6l;fKWmSfW<4F&!;KF*vnHyaIQ?R;A3TFyN3lC~ zY0|d_G!HN8o|oP*a@XtCdZOU|jgL0Jwpt3!Ix4+kp-!U7_L4=I-5!owyx5in%MHP1 zvzwxZ$IL$JZmZW_j>azKWtE%PVbQDXmZTTK7IDOsV?1p0Vif0zIfOVbw>}b6%E`(^ zr6zDbI!uUsinmF3{p=zi(8uQ0kBiI*8?!RHc6U>Ox$Z;f?Z18Lx}e%xy!!gI!1beN z**J54^PQQqEz|kc#TElXiw9Q=3&VO%FmLTd+U3p-Sibq{s^3(bUUx8k>ly5!io*}| zy`OaUGQ_($!oy9jd9B?Ub~?KQHi$~_O}}67`MMm_n5JS7`8jN?8-1EuHvVa*LAufc zLPV%f9Cg;5DDRftT4|%m#YGRh#AG|SW#;YAZc8!3iJYfXMLWIjegFZQ?sv6OO?w8W zK4mu;rp?@qBj&x1d?EQl)c%~fvCY@bx-;g|6WP~VRU?A$&K!wN>5-Ydx@gw63qm|f z;#xXbeZ@mFH1u353;nL+@~J=%{VS=rE{^|iXF40$xPes)`bhA9|9F>Y3_=tr5E7o^ zgwfQ~s=vCSX*MYk!olaw`oRfu+nV<96XN$%+LfNMxW|f3A}z!vZ1=X;OG=S96sKd> z6F&WTvuq<15=q|aL%vU}px{UXy$E|b>Q$NF)vU>ObKZu7&umMiLoJnI@VV3>Fi z_YpHWAlwu9zHzCHwpMZ3heKF)dxSb{I5DY z;9QmA=;;3A+JN;8O9-*BsycDj*#Qn2MuTer-@fib{24R645EEvVASonCI?P10S<>k z2#!uFgy0`}0U^Gg28PlhL^IE7#2Yjb*Jud`BNK`&|Ctv*qmj;*|B|%+DF$nKrH$PP zA?kMdc7PBgdRhxU<4BNKf6O<#geA~3{meHM`(*lj-|w+gP=YJ#Vhei}i+;v$(QH3- zM!Cb!Fe^B<7QWwe1Dqeo&(`3d*`W`|FB{PRk{vp2xG&^MnI%3rGq9YXe`Lm@CP=sp z`_F_kMLpSTY&(t(8ZHbh96-kWEDI3m{X?dmBC@`NKr5VS0&pqc{g+bq1+m_broYE} zRpD6g&7z;N-fmDdA-`t@`uAw-?|Jc8B^?51!@xhY;rAG_$-kugs*>ZwIRzn3;{H)9 z$*k)*VB`h*-}CF81A7(Z6`Wt7;=(12{$~NJYX5s>7n?l}PF)4P=!jkfdi%#(3F5tf zTErmU{D-Oz(tU8`e>NhqSuM~D+MDVh^6N?w#|J$HXBQ}`-z)n+OIHj8 z=+lLM2I#?OAV4n+S}Gi%$FUATh(Fdy5cvO-@`a=Rf2igl)xT(%PXAFEJvoL>aCegM z#|)E#GYki3m>T*Y^&AeR!-X3L;`{tPFIE4g^}Gaq35ex`zU23Q=U=O%3|J)aX9axX zPipz~ziyZc|4}311qBLlzXPKG|CVV2aHd)Q%(R~!52)+#ss>Qmo4)=porxysOhEJ> zbS9v4{r4LA=C2F+XIA`cJ^#6^;7^<7?*FKi@FEQG3r7cZG=Ippzq{bSyWoGLjk$Bl~zQ+sk*% zn{$(7t`t!+@G)~3zvsmM-8 zh9E>PI&seqFu3oKS$hm2uAOG)kk>iB*^AokT$$LV**CReqi@vJbs~p%Xbs<^NR*l) zKk|ngx{ENH?k+3dt={St1|H$sV_sS9GthOfCM52ImJ8;vo2*0O)dgLh;_FUngXa!D zJj0KroOr}Ovie5!TX5UM{Lt;kesRYRM?YC5EUTVPB_JJ+d-s%1u3{YO;+66jSA$npD{4E#iZVFJ_GzEp-ir-KBz+#o`+C*JJT$34 zG$wPzDc!>>tlr|69_@bd_br>8Es}00-rjs`H&^~wXGHci3f3o^7s-qTWL{D6WVt4&lPFV=7^^su)-8nC~XI;RJ(8#n$N9lS@u^ zEI}tFFKXD14!QU@ckF%Yn+>M8mpU)ITyyPIiJ6{cTeK8jrYz3h{6RLAQ7sl8ixW{n zHcsltXy0MuIy}zu@vRhHT=>o9#wT;j2WFz1)nzi~weHar73!Z9J*}*f%c3kCJ(&fA$nPDh@33FV7|*p%6laW` z_5}4zY=^4J>K;ZtmbLqV>S!2n)0nMT?p2*aTXMi8zkC1VC%ZXRv4qdWTg))_vl8<6 zM%{JZ>{XLGRhHxl@((c3`xwC*;72z%TFL-7)a&nTVVTf`5)b8sYb$|Nn!x4K;(||( zQv4Y{i3i^x9FFyVTy8)cP5H{(mV1~Z{nI=9XBRCUzdQR3vD|O*HBNkPkTGidHN#fxOEdK?%7SFyitmUCq4HEWw=++fW`?&94T)vLCiuJWSSMe!ob!E1% zA6t!J>yeHn=yFD$Z)|_PDQNoxV|>dpkBDs5W2$r;?|M4lbEl<;FXmQ-@vKi&3#)h{ z`@~ZNSw{4?%igRaIeSk$ z?2YyJ^~yE5UQIH@I&qE@M-}+&Oha#uh_OwF$znPg-ztXk5}q$AUId$;h(Ef7hrU~DW5l}8k%chilS}w7H{^nA-N?Rq$DEKu2^Mu#CtuVW zyJp`rZ(i(tY1w(R^sY}B$%bL*a(rg>NkuCA>=Us$srwk^&E8S-JaRKr@5FvQJ^1=o z4OxNmu`+M0Q^{W0>T5+<(l-xTKE&4vwGY}`w}?g>gBfJ_k+l-^&>k^Amm!bkxbF;x z`GhKPO8wSx5=^=MN2XkP7YsD3Y#bk3&vCJHF8*=?U6sDa*PYcNmLhNQJbRbo@Sac8 zk5wF%V}9uAKHk@HZF4=9lFox|@y($*b-ZC8RM=q^c(?zxP2>5YPm@^j7wev<<9|7` zXWEamFP6;0Rp%|Mn1w0ypGmFmT9S%5mU1?g0vFYF`AG$`-u(yWQQ&Dg~RT@samoi!utDAhzd9}jYaCpWe*J;Y{nvvnJy7yBCzFCG;-4E=znQ1jM5;%okN3QDQ@+1u`$v>g!NQg|47KoD$Ckwkru1$x*H?evr#j`qdmu|W-D3yy7_ch zP$4VXH%kWG>oV1MOZ=8m_S*xNw(_YXtljmuj@CK6YwFKXM=P)kEcEAnQ|nlomqeWG zP*}E*cMwiM>0BCW=+g(`I|GIOyL?4j){m@i#)Ywj%=zs6Qi)DyuqydJLrlX*M?}qT ze!pw#10gce>ML&?vS#@QiFf*QPjhRH@Acg0$J|1^#vZ7wy>-^A=;&QSf8E;g2UVTs zQa|)8a&ZP96sWvbNi;!Ljq$o^D`>3uk4cvH-PhA{I9kXpvgx(DP4CisHe-gXPVnI` zv1enKaPsSCcFwMS)2_sqe|jIMFufXo`Qyorxc5T4l3%3neN(qYUUm3tI5QrpyV`5k zOZw|bo$4D<|8Me5KLq#m{5OUGe_CI^00II|ZY#i-^e|z)3Oj{Om0~%qH$aF{hgn}y zHt^rk$m?b6s(a^FR?mrlSIIbH9q`|E)=G7gmh1@ZKJ*|i3#g4m@sDv);6>zwWCMjT zopwOe`&2C7tA1SQ$Mt+d%j@q9|I>9tVo?8o?TAQ~N(3V!+}sc@7ma2ru%iTVH1ITZ zVr>z6nY9X{Br>nlaKsABt*R~-yt&7Y%N*a?*|n`roO|op$a|GXTIZ~tU+zG57$kSO zRnFaiRzE3z?U&U15p(@wym84p@4okYq26{->OANtZPAB0(JeKhj@bL5^`_O6Z9aLW zM#`eBPE^Kj(yM`R3v@^{#J{K7f@@p9Tu@1wYmdsI$jgmY%V zW!(w$HVW<=(Z)}3I12+J2nNY3W?YXPfrFQ5&xu*(^K%JkRmSw-INYb}CXM9YsybHV zG#*{cyEN;0146`O*>fwC&%az!oY6{|k6l%1ZJIsfBzZ;2n*80>6<>7GX(CRkAtCPF zFXx`>@9=R7y74}GY5thE89Ct=XDYUxGSS@lXjhcaF&3uF_n20KZBMFG4fY^s`v%ok zoXe_qw|;s+fJq=DCR1h=Ze=Mab<6^9MIo8#;R@g1Q7 zPFV}^^U9$wtvG-IbG#Ub3?X_VRh1_ASR!rHEb-45#&H4D3q?O_n$o^nZZF<(ZS28! z-r)C&+p|j_hx=%qx9nXr`6k2rh(E0TP>z;LX`zMi;WuvI4J_V_KT&aNI*B=c>H25Z z$Tx+Qm8%Z>5B-uxXu4Uyo9C;DNx$K$LZjhSh7HSnZl1AnCf-(&Qzd*F1Dw!k{8{WX zj8o8q=si>nas5Z}s&?qfk7cg>_Xi|7?gwmYsiKGM`4g~HMCFw$Cvz=sFHAv*`C8o8 zRRwf)U#?i-WuKl~l?et-i>{cfEF7t0<>S_sIKs@dHaoj*;d^)dlbOB&2r=kCf{zI4 z?KNKI{I-;@$bHs?dM(;ea_imhnJ=Il9X@m1Ve2dBS#HBDvuGv83X=Oyi8oK(jYvym zeFua%+O5U*m}Ko*FU7ywl^xfW!yzh6@?s_xJ3a7Z91D}UQmT}2FTdoAHKyd8ZMbTx zPkOh4nB;Q;b)b&H(R27fr733g`nav@?rXf*fIi;+aa8$JDjjz$H$CsmSGV-GtCxOT zwI2|tPGmBy$*UW%-}t11%j_gdaGY3T?a8aUBGY^Go{ZhQul&8%%q-I}<@Uzc<#KGK zKf$Qod0*YuYI=hE>PW#_yj0a4LT_flT&x)H&Dz3Qg$XI8!h;XEIGc1hM(f9-efDH^ zZoR=aIl{T6LBkCj^slPo*=zhwi}xD^v7oZ}x$P3J%aFA&Bi|^+o!atpZz@km`K5J= z&-xMCqtgVD=`*26yJL?pgszW+rYrU`Zg`+(Ts!ogbM%6ugO(d@X$fbOuu{sYyaG1q zfe>=o7ps>W^>h7kb!)`d1fuI8lVyhV@-SY%1R;18d~kY1t~TAz_rkuCQ3lB8cRgQD z%}lGl^F3f@IO77m?MeO%C{MOz>Ap5Gj^B|KVAfV@vq9a_@fU^XE9bk zJMjJ*Y0RG$S?`Asm5BEgbgNo8#8vi&CFRSC&1~&9ZoDtTeAV zet!83LM-jxs_ubRCF=ryBiCK*gt2LTdg-fmQ5Hv`eoOlNOb@P;oK)$+tmqzI+%{*S z`Jp+&lAGt8j$*Ub>zE&=PJYqSHsYa4uS#W>#f%;lDZO&oHIRL^E9MB8sBKVah);0Cx@H~(7c|N6WC$;z*)ho*cOQvp$nQ51x5I>I_KbFs!8LO7$BMOPD^ zqIaOzJi)43Roy0Uj>_xib=|D3gNgrL!wBZ$5{8QF6zAqltAy2c`V!`bi#W;14SPpSB~zpZhM)IUJ{B zF>;tLZ?4#+F6GsEZc>C;b8cX8{b1_L&`XEWgeRlfx^zn-SOIv959M#gE$VuS*wfpz z@;G_!70blNZI45}&HaEACVc z%{$v$1>d;X<+?susy(K9H5B_Y-EH{Rc$>nK*(x@r&$Ku=NVtl{v8-dA1A9^NK0fO{ zEkoy|UuG8Tvc>aw#A+V+C?Z#d{aW=}Shl%C=#d^3bZ82vW~%R-Wu#J6eZ1&^?7G^- z#oUke^v=Tl<3T5zr`%Te-D7@(5s=2uRmb z)SC#J_tMuigAB=HK469!?$*GI=F(F`{&|fO|t=pkdk-lGf*R*eDrVR<#3; zpC>NI=091Nz0~W{_JOsORx$D2E9KkF zK9soRNaN*IlgiWsqm&;~3^()5#~Iypv3Txis2YK`#W^K)nT* zY#)Z$nAb9@ARThZwxu&&oNffY5~mzBTI5m~F5CS>H8ZdKpmfAwW#A1P`e&4<f@q2 z0Ta;pZP3{>g_)et4fIc%;Gmg|AY^O0-Q`YKr?GwRsIoStRP8gA{)(#IdsFL3*AIta zhK|@#y*9Y2#VN*m0LfaqC;`nzEJe^{i zc7r+rm?2V}qTjWIWZ*E((T&~jPq|IV_Z}7W<#%Byk{dJHy?13Y4vTYhwUQLaGa)91 z)G7tU(X~ey3*O4=_o2}{(W`V(M<8LB5raYEz4Iw{U&}nFz?5s+{WWv$I_E}POca08 zG^-br?_p<+Fa!U^0DR1pK59{ z29b4gCE~#(@uocjLaL>cPROW!Z+iyvW~Ch${`IqtU&>)gFnG|4HJ}1}aSb}uM=3~$ zaH^S9!g_wvR53SR_;Ol@D310Uj{V3F>Z@*y8G86#LMElNXXwj&0$%!F5)AqSj$_dn z&c!jNxZT?6RJeZGh)3v#Iwt{RrXuB*XKkun5T2!l%c$+#Xb~=wo)_s$bi?IJyO`p) zCL-rZJkATJ6;A713jOk(xmiEsbyoArwpF8kt4R5{yBOOW1*MW*FoIn7&NL|2^sPiD zO0-Bp_W@`xCjiv0UvT>7xC#BGsi{8UZ<|%VRbZ!uNu)bbb-1&KPIYZ<4<`H7#5YU~ zVU8bK$-bQpR_1P1SHcW4a!qkrsz4{bvVd@olv1@OF27u=n_@L= zbgSg}Z<93i^d%R~7Gyp)3nGBQBObBS=|-QZbI?4O44)^b$R&DYcu|RwDj-EjsQbRdI3dZ z!Mjp;lN+Z1?4A1u9!k_!idv^kB6@b!chkU_Nl@C=&w796j{g38{9d=?)c>f@mS>MT ze>yqrQk01AMszl6d0{N0jtNl$If(aL#MYSI90_SaYh?2ZElW}U6S=a z$7?&__9fYQsZ#iI9Sq9(OpxvQ%6W9AJm{C&ShKJ**iPS8?18^hm63?~qGBXhPAc_jrpn_L{d4;FO8i}W2kZx@ z{I?)sp{@6#1qNfaGsIt$%{}MC%^x4#--$Dqj8Vr4Za~jC?!}%CdRUO~xI_q44;M4- zoUf>kM&hf#?_Zz%+dtx+XtS$yzjaG@TR@3Z$!=4&! zq-c>^ZR)HW8AdZo@c&A!?{g84Fv%Y_Sw_!rP1!S?aDLB!R3b=%zv`B95&C)X)iMD7 z^MmnJlVkA9|@MN{>NXR+!P|_Vud8nuV;5{q+J9br6|Sg*m7Y zIVGk#Resh^U&`Rn)z#;KB&0au)7Uw(blL32d);Tb-^a{r$$hacjmmY{&8*MKwB9Z! zZP+WBc^BvAqI^3P4iNQo+?R32%;H680Z;X+n`U(l!{*!2`1uvGAft_)aZeI5a}+pm zi^Z>|UT<_tw6R;%cNgiexKCmXp2U$K;jWwATZOAm+)0t0TwY#YqHdU!$7XDKV^>ZW zH=fr|k*1o0dk+*ESkM{mC55d;Q)wZrbl(kI&uyJpBrOID@3~wi-t9|bR^?Qk)C?|l zu_)QdT8*WXnDf&rB7QAd0-TdFBBDJo@~w#|*VM)aYG>e^l}cok-J0%TC0aMf#!fqh zRy`h=oi|flVz}~eC>_W2D&0pcIYMM5yaBSA$9n3?L5m)zmhXa*-pGJFo2n?X`0cW%SnVp|bPK0rLBrc)~rQ(pfO}5x5Ni^vS%bMGnWg z%gKdxvaT4E9Cvqhy%xFvcU&Ib5L*sLFJqV|K|SMBd|gW+tsYer@JRapZFHkTiGq94 zgXWp_r5^_z@@#QfcYOg*6+PRUuk1sqH3o^WTD;oom>`D8)Yd~$nQ@kuQyGnqIzCg; z#08H-Wg%A2FyU5MLRu+cX7won{PM$!sXzh6S-`FOfW2IGWUxTY;bs+nxi@k<(ysg2 z=klrRDtpm!NbFg8@;YW0oD-}tkRigyplPzRj1=p)JMHpyXL=#4NiU@x)Ji@17Ii^v zX#gONm((BTL=WW6UQpbj9lyXqH>8Aaw1vfvPaD#$F@J^(77^f^7XxMj3r{-d#pWIW zPVR82le#khb4=b(nlz>T)`zu&+nH|jSO7}&uI;m;T!Mik9Bx!b+;_=k(7-gV)uH&rCRGIT|j$m)Cl`;BKO}NY7`N=TU2PAl6b~KhDNq=7L@^6 zh^O!fdFr<=+!za(HR~~-JTOpZK?nKpymSD~)rr5O+@~0!bN5L4npKxx>S&jpX$zo@ zVx&s%9&QivTn>ly2xouG-mghS1bQV(t;I~&y%f|R{CZelJhtG;(%vYqa=q-$*ap~c z2L{=eg!u8WPBvETLU{ZtC`c_>O#HsOW*dH_UtakBXN54 zm&w&yQV^5W1j-cNxVd$#S3)@TqBwwSsFMd4(Q+ZjPVogkJHfW>D~s%EsZOT6p`2-E~gZliv@cJ6efu~i$<52w$yHgp6V~S zz0`SilJ(~2nK62MIYd4hdS*AhVb?l;0vf?(omhcd*67q<>}H!9v+C4-`#*mpeKDRGH)i_Yk$IZg6GxgARo(=zG&Y!r6po0;k_N@ zQ(~{tMQW=Qjdh-40onon57%1Y$KG;hJU%9(m2RoGX=-W;C0H}6X%Frf5m$X7R|vu0 z^AvgfWtRjsy=+2&~&5pi}oQ5(%G}bVaf3rY}tdrFS8$@ve8OdkE23)j$3i#2Bgnl36Ot<q9pfIV)9^R79U^ZzE$HN;4B2n<)1?Z`uW5mqWUo(7 z9-szit?ILF1{k_Ha5~WnJGota-Xr#?8a+dT>e1-x-ZL`rjcKPkF#bXTbNS~{y6WX* zp^^X>FHwJcUwCPI;k!vjzbh*ZLXExMj=s60v#Ia9aU*YU6VVy025$QiMu%+b558V_ z-q~p0QxB20J}<~doTW2Y^VkLZDlq8BC(HXtJ(mT+zJxmvo!nrXk* z&N#m?9c_j{+sI|c?~7a+G<55uNDG{J`{d>2lXGsvCA-0BV!O{)5R3_%xN5kckb*x* z7YjdXRNIhI9@M>iuUPr^74AVK&wNmWwWN?l!h!S`Ma(D#%sU}z)lVu(a~U3PZ);BoW*2O7ZaPBv z)2<%AMt*J?pk^IihDYR`w_}<%nc+v2w1ard}*~NRLNM*Uxo^ zcnVoOn3F50*s}sZoQAV`ixEFho|NMlP-oK9Bly?IjE*%@lXsby*u~!Np-vL^IT`L# z`)exgUrAnkb|rYr?e@VoF#srABG@lTbHM2E9BRTl&P600-5fAvgWz&?ZY82*(+mj& zIu*{UBz?W=VcuJB>})5`xMxo6BRY0BIvQ+5_}T7`R-?!3y$e4F)R z8qYj`FFWzEks|+>DxjKHUR3<)m3`LYr5^S9H^`n~D#SDa&PsM!+~1@oz_!JAOY+sE zH%;rIx$8B|1)76KDp7=YFoK#b=RqfsEj>kD!>#2&KRY0>fE9KFvCRvruH%rf#r`zO z^+Dw8=}+iF{ftlK*r|)4#9N@6(Zqc8^${sNB-M1c1}3#%*l8I0pVnB?zYqE|D$@_3 zGT`5#GR51JN%${RCR1UI=o7o#eMj$?j_~h683DRK)LZ_KHT-m*yViqWl635cBQUOQ z&VeNvRjup1b-2e>?{AhJj|*8V+M(VJ0hjs-Cf$Lb9n5%OjiAPZGFQ6YeZ(i`xM7Fc z4TQ3SF3zO9)UcC^k~N$y)^wP6uok2(@t&P$wkku&>*7Ms855u!KEz}SuioVcP3g$h zw7OVHaq+XbcrNA`ltV;G;-XcJ2%s0fUO+5-SH$8a&QI?HJvCaNeQKbRNWC?z@3u&O zfI6eb*@3h^`VGOZm6iCyAY?oQY}w=o)M`2YfE%*trXik}xAp7gh9nM^SFHs$BIaOB z<~`27B9A6aO~P&#KfMyP!2aHv<|#F}h{PTlB;1YDiMjsO|Eg|Us>&`>I$=ap+O9OE z=Frx-O|H;jMYp(QrR-(#ELk~Hy}qK11ey$jKiThivfa$^X41buXspX!#=XVBgZTcw zREela$)hQQ14q0v2a+zWJ4dK)!XE)dA6Z>~OwG9Ux(d;U++SLz?$E_b)a}SO?XMq> zEzO=MSgR`lkX@VjbZIIHb$&)u+O`oAHso$}wqAIj6-d9$*CF&9>T%EzC1v>`=aTwX z?lV`TZ|P5;*XY7`IPORFx9MIEVcj8A(M_Lo3iY&g!n!!Dmg1KULM?$?S@)F}_@ zGvo!_hJ|xP=ddPd9lPI!dO4Fc>E@w;n?)M*-q^cQqm&&wDm+$P z-=Eq#?9oor^i}VzJ?h?5GOl{_O^oIbX3MyHb0@Cgk0V0}JPdlqZC9neL4zWcY^C(f zOSu{OfV$YU=j*AZZ}2aXAneA#L#+h+~-w&zhXrah?3?~Yo_HOV0+{ZQdIooe)w zU4;d~DVoY9y;%5+>yC=4K$F$Fe6W6QZ7!;2flFqXEEs&O7{VFOob>*io+LLbYu6Q9 zWFpzJ-$TiVE$U|bcgmJ)w0Ep{TZ&!PcM5x$N4>YWJs#dr3rCeJZE&av<4z)Mv^*f- z5Bv4Vnq_L0tdcCF5!aP3RT-+;S}&7c2;JVeji{PSm0Dj;6zp>C1rojGUFcJNtb&@Z zuEPh>;AR!By5z~NC)r;rE6&(FX}WdTA$y~PrkP9v&PSoSL@-K1XK*}tzH-rmH-*d)8MU~6nGKpsLbo22pB_scFg=~w;nX|G`6M?c`n)IPx(J0XUT z*3pIT>0YJaqc=s4iwh=SuMkE7W0y+t)RE}WlIyu+VhmAFSi6*lUr%Fy#!x$-t;Ru{ ze1#U=%b}idC(jN0BL?9Ntxa2lynNZFzV;}6sicC`@6Dzgs&qP!A?@3!`uzQ)j^e zyF->yr?-CBH9}~A(gbZuqmeAtb{7{ov<|$f!78gWGnrAKnyp!T2x!S2=iOXoAz@uL>oEu$E?7s^~&_rv^m zBzrilvVgy5o$}nT0m=_6`mZ=D4nX=y@*k#;{_Bp)??lL0l-JVW7e94s&z2zYS^Mw} zL3AvmpEkO$9ExtR>Q}2sQ_Z}XypL9Vo~rNd)J)gi&2Tp7W%}HO@i8=)(h_UE;Sp%d+%sR|3;8#q1|d=or?H8rIJQWZNf)e$vDk;Zn$|Nc;pEMlV)T^05{j&-;>X*!UC15~y53rWN7K@nc zr!Zx51MMpQrR~ap^;=6%J?#u4EOFx)cY$(GER_J%Y2T()g#m^R8Nx&`haQKn1_6Vm zo-X;IkwqGuE0@G$ah)f}~LR;1ek^o<01sE#U`Cr^{ z<4;|0z5GcNVya7(SO3i%h=V%M|D;*jo@=GDfSX}NZY2=V%JE;+%I;T>UQA@RNhq!x zguc82OtX0k4gh{aNUp%F1woHq>s?K(O+u^NPM2{ z2VM@0X*(9+{&7$FK@UlU8-KsZ{*?_Uey#5rK#C5-G5OL*fCyd?rO2zq#hI@Joy zLR51YSqvEh+Eej^0MXmaO^|;DSkOtT~3yIJ+$$nsxwUQP9u#^6;HpiR%%jWC? z!z9T3E8G2H>;Bg*=O4E2&wJ;8-){b4>;8XQ&p&M4|AOuO!`A)Y)`8N2U_>W&dF~(K zh%_IWMt{=K1De28ZrJJZu7zk{!(dyD_$|W@Z9nIQ_{2-mM?Y(QKfCC{>#|-EV6;1H zgT~u~riTXn5!AaBU#6xT(R@1KF|-#9yDk1I<6b$MiF^{++!nRwEF`SKSj<}e*iV{k zUeJ6$wMPc-KnMhAoy|gzB3Gr+-2c`RMu-IbT0kodxFrIAB+Rv+3{*3Q`IFBB==|7Q z5cWFYkHiZ?+n#np`O(P3bI|;YiV!Fn;6!Y5zk==~C}zQ?KoV0O>4Y;HFG}Y4rwB=BlTjg#K`B0}(C& z{_3|xBw8HUzgJK|k7s|L(ScorG zs{og-i{U5D85}_nh?Nm%p>q%5z;GTz+blW({{-0%-QfZ5c7uWh{W?!+7IX{*yo$fP zG!Rx z7f0VjY}g#B%n%XucMY@w4A3riGXC|3UKeHyP2h*y_Ff{KIEUvvjDqTgDRQbawQrota{WtQ2LI6g(FJ82rNpgV7q1U+l;lg5OI%<)zz>v+0H zINaQMSkpScxV>pY1;*irWA`v>fJ%^L1%xi{IpT*YM-tNyF}8IaUX>H{-aeq!jVSQ#FNz0toghJoRqUEGcWTri8C;_C8uCX>*-oI*%Z88{>8= zSpcxd72>AC^kR&3ABHbiV!6yrw!aK3Mi~Ty=1BT1AsZ!|Q$4=nA52RxkEc_Qju9`+ z#~jZU<7{ooOgN~gPRF(oLN2Z?GYjb`BYFJ~37P>DmIZ>MC;;}}D8fnaITi>Qqf4M$ z&;!+VBd!7M1TQZjNASYef)QKN8TzRv#xY)@?_reKOs;3o zcMYPLWDj7w{@kK%#vASx*A^ID$A)^o0sa&dP(#qxlTg&Ar-QON<1{D_8d%}m zZ12hLhY>KeLmZA-sA?kcpL49pBLxgO%#m zFTsOI4S!RHFo0}?l;dV-a-`(x5+^blq9UkLQT?N?g(@M0NBv=dn~4B?)*pt*%Es8T z#cmt!b@T_qHhW+-DuEo!I$U}h7B1!zXOmSM-#KCyPcAxiRqCMV%N6JY=0MW|zH02l zJvqn2GKE*BKG_rJUhU4b6pU-NZ|#`5p}s6Xx4+>?x>KQ46!m39$OVHx_+jVztkap2??Y?-Krj0%po;FG7skm9vn>YuD1p{0 z|HkdDU6oz21qWt0b+9JrfE>Rvx{C4T@OV{RN=yIhgwiWv?CLy6PSzvyk`(I=VJ)tn z)U+SOR`UVp3X=F|vzjM8MKZHFf_=*6>tGBMi(9VJ!U?SO%*TU6snK5LF;A>g-HpsM z@G5vsmtTJy7#of$vnQGM>&aiX0XpA#5fT@i{bw|fuZscgvZ+^<0t2hCa<))hs z6nL6zZtW>Ia&{#vAf;xfDE;Kvj7(!&pUgYP)5%skn*0UVkzwxdr|%YN<*MbSOqol8 zY#xTn6nJ44`Huf{g6qFg{b-keX(TO1`yEi*DF8`JlMhje?Wd~mDTApA{X9Ub+NWrT zJV0Ll6W!yR)5VCt<9hrucc9-3{a=hzF34}Se`ok9D&*p@6=g#B)3lJ9XPcHGPtvhV zXACYrk$?E;>C$brkpHKD{$tuC5cRH|4P9iTG9h)>l3^(VXrjaemN-yNsulnsUMjX3Mn{4ClE(L4tK@}%#kun=^w^v75T)!xa zsSQLJ7+X~Ln@bkTLR(v57L%gg6Lz-Ed$uaXvBW0^eim}?qI)C18w z6359Ge_Q19cX~Z67+stV@_+@9?12^d*;o8UuP00&{B8Rgq-2D_;7^rKzp457+meHm z!-o2!Oy4yp%3WJi^9S%f4{ldKnL15fKV3p(Bb_%rGB}}3 zRbNb3OshW~=tXVNP1|;I^_q&kM!XcEdruD}4sJod+GTvxc%({9l!OwSeQ*G>ZCWo*0*%n$vxIsimyC`TX3Fw*7Njd9s?rH!Od7 z@k{|Em7~o{GM=|}{}ck70XqI{?@vYhfK!!C(I|3=2z0#&dKEkX)9|MD{9A~_)CAp@ zJcQiG2F)4a60Hk}4HfExnJ21a4YAKI6%xFRuLgPRzl-g(KaOlv5^mG$#BK_mC!|Op zQ2nK+s#I}e0(tqikC{mj&CFv3ryVux0~Kp*G|$HOoIQc(`nWGmw$Gd|XDn^FFJmbl zY(i8od=MmSDg`M@rsy?D^C4#SwR_c2R?`~owKO`q^QpLkG^)Y4_<^db_LL(T1OHrISBsheXe9*@%b*Ydy~GfjHtx=Qll@(8Wsdl%AAa zq*MS)yE&UhWG?p)WbaDZG*xZ^H8Jqgv+U^LL^Wf?uqIzdh7%pOjJ&f-zC*8uvGcDTX;oLJm$u zd&`8WrU%Xni3y6=4fRJfRO1{;J27Vr{4CYKK#9hL2U>+sM#sE@NPxZ}69$FHu~1(N z6M9}QBP#$V$Nm8jgN#>4Qu^Ro8>maw1J0mzB(>X-=!yZD3fJ<30C}f;?sTj!sb}ve zjbv9nTXT^9Q_T)Ox?Mft!_F3rsbUKt&G3_kcsCY_h90tL6W3zz6ROzLlvN(q82BFD zKlW+?WX49>#azBa2;xrxtNUcRRQE1EJ0rpKm3+g>eD8`*(ej0trHOS@~M2OVpd#P!MgcA&Z- z>fw&hcO1uhSVcPgX=t9ks~+3&y*xkTH0lmK@Zck&?F0Q3I{GEz2kf-@gcfh5PsHO@ zgCt8rjAL`|+l*7)PwaPwEsQWLd7ZXAC+`%4{Hwn2$A-;{jN$`FhrExI?ugj5y{9QX z(ZuWKnMo#%;h`ZAUR&c#@wF$Iz`Knj+3fcGU#$>@-qzR$|e5u^&PoHh)esjye!fr7+EsFyW++lWYI0Tm&}YqN60rF$jk z5XInUWg4%!I^*Ni-2%tDe33Wyx@)H_i~*`1QZcbSzE%f0=+jIrF!giid`Me182AEHw%{<4g=V%K0irE zoUN~%ssa>p8u_rB055U-LGgl@^E-|gL8ZtaF$+~g$B{ABogwZuXH-}n`cowvaz8bE zN*j=Mw3tzZ6+M$55wRMBG@8Db#&uTzrTXum8p{8nQn}xYs?+?|y#H;~&2s(4^7)Jx zg2#Ra^pAP<*z>BmV8fhZU7Pf-wxnE`9((zQ5GhsmQfy@?qAyTMrZOqUH$m#hMa_pbgzT#M`QuT1qPyVAilOpUR8@V6 zc=BE6$>9s@qt?+mV<ga%; z-Oid@nN}(*ni)V4xE#yY!Pw9BoP}-3$w$m|1e-{R%KI7c5E92q2)wMR&2h-BW{+%F z@8X7Ohm;F39k}Aa%LdT5kaL3zt{Z83-={6l-eVe$hYi--6DHy;1(kHbx|vi@Q~Ob- zx>Z;8kaD)&<-)x~&@fJMs@y+VdMEmgo&61_8QynelgI?msKF?lUS~IqC#kmTOBFtg z2%$fbuV(;L9g`A|(72-EJ)V(qPidHDi-=$a>2@RGe)^qz`9ktJ%G)cA#42nDn-@6z zkm}fk2LhrA;JhKG-qaN6`Fi>1vDaZvyM5~10=Hp4O4Ow7WfgfFRudiLAo(?)`jiC$ zQ^!nOmJo?SpMoj?ppm==4o~(aa_sw7?gW=U&$;uENnA8eBDwFzJwHSmELKj*@Ig;F zxB-IfT{>D>Hcq%!EL?DJl&mW}=wkhO#Mw3XSip`O`M0YAwm)TkDvQjRJ84>zR^Ghin!7Y`sQQDP zS9KIUpQ{Yn-jzeL5s=!r)5Vtpf|yuCBNLhgFi|uo5#3}H9JhF%pe43Cz-MWBjkwcT zW?lz-&_b4d+oGFU3G@B1608Pc=HFQO9-Kp&U^5Zj2=FOz4i*rJ`&N8s!H2f1!wqCY zjA8kHi9s436)X{uOszw zzU@wR@~uBYk0Bb!GYhlAWjoXSt@s;*9+@cYN{01iWk;;9rhc1F_PXmgQqfuf^cC4L zkKlVhp?gQrLOros;A7NTWsQ{(@PNf7LP1EEn=V5P0fz8biFZVJ?rsUr*S=5Jtq3jo zNkfA+GK>*FEA#oS@v-Lj!kjtL6EyMZfSx~p%7urm%R8Mt^FG^yGMmsQ;s+bCCw#ZJ z9l4qsL0F$cI)~9`H#k1sB#}f_dL=4>4Qt&manc}$R z4~Xae@X7X@8sEdj3RzBh1e}LzQBZBjOIZ0zQxVQ%+lsyz0pLT%M$GrI6{(&t)EOPy zQ9@~q;7^|?Dz5XlA|6841=n(X>4BugDDvdI%hfg;*8H(%?OET-$Z~W2t^TU-9%LDz zcW}PLOn9N+b_;Po-Kj!YzHdIgbnsDwK{BUG2v0r&!*vzsd#%r{JLWn|)Vg$qdNs!J zP2SZ#g)9w1KlKzHHU(gSHzQ(x`037J$v4b6dnJ0G^U~?~avd1&`Xd zD=SDJvA*%-=$>Z1H3F0Ut^WD!!XxhwDn`bd zsltyF&-xZWWmYEuHbcp?1k!0CNXW&8Jfx&~IYzVVr?s;MI8>&b^vHiI zd*jgV*%xgl(YU+Lc;+1cl7br%3Lt{eW@tuA2OwkIYU#{zYL+W1Dg4M0$b^SvDBbm< z6KU5AK{s5bNEG=|(L1B2MsAl44W9Ao-l3yy_h!AgdStUBBj04I)z{NeTrNX44Lc(cRBP-e8P~cond>^yH`L@iaGhe&; z>b}%{&M0yHm@xT_)FqT?iD#t!c;XzF`jZ8{?`&cO0G`0`v7NVEDWB9~2+Im86Gb(V(`Q?F0bTw|+PR49%1J(BqE>7-7S#iK*dasA-FA8+Jjmiel% zSRUg6TG!*z5=Omav_m-5j70sUiDoeEM`pRyPB6f<3Xsoh3LK&9`8u@efo$(dPe36S zrRz)ZLxu!hOQw8|(R0mrB=^gFVCsj5&eI?CtJ<%u4?iBukiLD}3Hg1X*ZGpzZHzf{ zI%X1(eE&(K(Q(5ICH1-wf?YQjN)1#b{o*{(AoqJ7iNx zuv(ydsa5e@$m~ZnihSOG_Pfr%`+eZpGYG1Q1#kCAimWX^a039n`6bi>&5_NiL_>}qM-=dSh|K%UnfjHz* zQ3j50{*{m%)O6gemjt3Y3X{>VI@NBVzILWC2q^`XUnu#LW=#&?mA`IAe-q~YoeKDW zu#=v0Vgeu_8+qQe{ZxWAZ?XAQn*v0e;~i;f+jxv%T+EaYnkxkDcwVxm=B|rVI6a>{ z-50;q-<$59x>43Iu*#?L*XMvNL7U}1)bo(|$cBW_y!5q)=4)bUH_SLeIx)|~#=N3m zQl*ptm7z`P)g9{P2J<+JR{hnKSVv|iL0C6 zrbLe`#nSk`d&hBZD<>wyAn&L93iC;R49q6u4_V*{Z>^^D z_t2aug_}jESFU{K4T*5!>O-&dQqiuPYIrkCSAP}y0`&DK4Y2>l03a=F9@N?Yn!$RW z``m3$HZ9`gMYp?F(aR@&#@=Y;7#RqhFgWa<^L+Vw{^<6Fz!@%0k}RZ?n{fka?;05p z7Ui@s93+UH#q$g~m3F3`Sh(Y;%|-pgk#WKi0t+6Kiw-gFT4 z*nWUbX`Q*Ld!nPC@$8J|mCWY~N2VmsyK*FsH`!g5>#BHNJ`Hou8i6(odOt$=Z7-au zt{j+%Rwbz{-agUh?muMS*v6UU`EpbH@+URRi7c%8K9t}~xSBN&^o)@nOY zb!2oQ$}11xf$55GBTG96z!fZ;Y4)U>K@K?j5b8y;!az!!zGz8DL9qo7ORay&!t-I? z)V20qAF$SkmpaR4Ew~e4WVyhAY$9It$9H zW!^Y)2aDDBiwSai9=D|O#k6up4lwV3(v-Wv=D-sy`_d`kd>vweH|1-W~yhDYUb|A)mzan+@Bn-OSYMelH* zB=uA%w&>PiqXa?R1e**yot(SygzwGL)!S^n-i+VEC6BSrq8}EIcTJvLE@ChoI5kkN zl0nE_K!gGMPRKV9W-PQ7b!yTv^X3@ZT6trxV@UeT$INAanww|02ocOSk1sc~w%VM6 z45}^bbX z0q3$i_31ypd?34djHK;V8wzhFk zo!8@7GBfxerRtcyC6Lr`HNeLH7BWbs`B85_KLuhkvHvlxl0Pc4v@KfFnc3avwvKdY zgS!iH#Cg6nmGjWMCN19&%)95hQ@v1I*S8O_vU6dt_FfMv3B=#_veo2y+l?!JBf#@A zo8j{f#?AWjm6)63`mMViO9~O}>7ARtbK7rFU+p&FdDL;p$$?Kl@C2n4q`{*`zsZ#i z$ySMnpVZ%2ozgP6z?RuY>lHkiECg*4HW?pBlFxHFc2-4~o_k*$da)XWjSv0iWS7-B z6ydvELh-rCy%n2*oO^$1|A71Jcnn%P30mgb$EnJ=6{ILq=os|J+YFqmr;hyHYC`3&7*+#FlHbDuz+Pk!y+J@L97J(PxgiZh6vwF zS?&tRj9{;FS(q$QKGJ2sZ)W*EqZjMLtUEZNTyvc%>M17Qc~evv_&CUco%7TT-rk#2 zX0h`o-F}*Oq-#}fMGuWqoBmk~b=ox6uI!UJp?U$_cl^}%b4N;{R_40<5nr*5Y1aPm z!|qfw+JtYf>rI2s$}gGnb5e@vRSznq;L1#GOaNOpW&~+3egR{_KdJ<>{@9;8k#;Lt zvGQA^wZ`S1-MA+&Epmlq;@gEXal65fuKxEVYiKFAGn2?y$EkU5R(6OAV+SFiWWjI^ z%m3b8{$Vux_ZPYKARXWxk4z?jnHxrpGaG9rqyZ@)CG}sjXSr>}U;l_t5+?=z;#Fb* zIYi*U*GCqZNMTS+%PjIZwuh?z-jxIe+_QLM3On>$B~+Xu$Q_bIae$ooEyDkILTizG zaKaZ9DH7S0~y(=Fsd+JNtI`uZh{1`~|PSz=d z86EVi#_ZeEbWGh<*`XOO#`-~1D0mk9%hG{Gqm>=+Yx4TZ;a46}8T&hu5cG2X_M*zy zC>MEQhDR1ZMw1ui-ul6>Q{^@yB35WlEIu}XEA9@MAlCC6a-Pwg^;34Zs`J>HPn0|U z!cu<1bE}n4F%DUJIYlJa&KV1c5q^5M82r^JfMNH{gR^c>Mg-w}Lwe&mf0Yqt{$n^T zRQUOav2Ef*AB*kYMkdayYIMv764z@a)7igPS#im8ItIkQ_UFy*uE2OK*asp$a?qt4 zkRV2+b{_?g+KaoU*E83?J*u_To>c2eNdw<0ZAr@RcX1A8+_<7xIJdY^T(TpT>VB!l z(jp3s6efQVat^yqYOyo=>DZ_x%3*q$``X&Mp@TO!qCR>&2ItNCxkJwly~!BZB>UZz&3Qe%yY019CUVGtWMyT$RlZKer@?8RkTwe|BNoC1};?a(EzXV4zRHm&@Oju z3MCQ%cQ7`+cCRKekLd!{{OM})?rbu``$QWfP$a`(jg(z(jYM^i1OEel$Mquhi({hfSK|4tabL@XYaMwIqzE6d9UB~Uf28n1w7C2 z)ZEW~f8!HOb8UY9Dlc?Rw6YD^m`Bo*SJKgBk`jhh{8^CPwYR))-QN9Z(^bAr5~jio zyD~nzn*OC=%=11ay$rU)hZm_6)}(~&LLMkyP)OZJz>NF**r?khkiRLY_`9Tc0RRH$&By%(YFMGt1^l= zzJnC+-{3R2aK5aMs;H0z(BJ+_mL8EoEA(L=k4vuWgDtmmXXk$TiQ^%f8NWqKBvyob z*EoEV@v!m7smN)1Aox%n_F>wHU@DF0E?Vu-Nrm~EJO_0-zIli|7fbei%`QT8sKW9kXMFoKwLiFk_co~s#9Nd zjc!cqpa3uDE5+Avw=p>N=KG;%2dY&ysZ!lstB(bhzPZ_i?lItr=SvjPD2>%^ zzNqo>MeCwQfyZzy?96Xc{O(~hHh0go{leGi$i zcO5Zu4Q+zrF=GwmwAo$NWvrlkJEmvk?l?O_=swS|7I5=s;ENtUY1N`{^F1p$Bg3r$ zk~dKaS0Y}fC_AL-@w-R9+8jdAE?sVZp4vEw?}N?NRq=25K?fd(k7~ z&@s6t&?TE_;by*Tj##Aj8CtBS_s>CfXUw}PFZQ^cH#ld3d)LU_wSF+zG zrjz3-i>qJ2@tywI^#Uh(D85Qy+Jos9R%kmr>mk^`BwceVxRC>bzsS*CT4hHipf(^H z;#erk?0bz_&6%oo+E@xD`vuw#^m@$~Bj|`wlfqr}lx`r^!~KtTxrTa))f9R|3zkU| zp`V6ov~RGn`0r7yuKMYO`soLNynGJ{lv-D8^OlutEWJnFs_0hoIwC) z#j5o}6dX!_#%l$=R6QM+zRF)qn!vDQfXI2Zv*jj6fF8rIXix_YNhOIG{f;I$%&kW< zVQ&Y(+<4kuHq@uyK~5s!pq3+Pui9IJv~xXtS@jIAnU2-^amrNmkw#)DFp>ljF_{z9 z1tMBNc`RQF#V?5c&?Ao#w8{DW6b}b!_^If?!oFV;**;15&vlJIEOz|sMo>OKpdu+o zKk#(mz$$CB|HL^5=*wdSNhlBrbX68$E7d|z z>e7GRam1JN8@`4U^8!-|T7`QV1D>)!aWEqK(@P70UHI``VE3=!IFQB)_<~$z4G0C9 z4y{^CRNDR-YH580X;ivjrRErh>__7Xn|j?>=FW#fqAYLdbV{t5!e%=aBFpC7R!FB;sH{(kLv*e0-6uKW=R{0n4ZeIvDKFnq>t*QR~fKv8?gJ zPhTsiA5!l((j=C$sphU<(pBfz`is-^S(0q^U{@^o8l5RGQ{G0}^8!A45zBYPc{`Um;)rrv>J z(&(cV@ul!XkNYT{epEpl>J^RUI;CPYd&0QR;Ze!z?0ieQ-+_IP=d)^wKpy#$mJRPJ z@w3+3QQf=R2Uwabs@U)4PL@t@pEracIQgy@sLSSmTh&qKXLYyst~PAV*_i7k4*75z zpz=MGR6B{qq3&TjdMEAv*_Yt4n2oU3`2L?bi8=DsBfIl85?NiH?UJ-jk;C59!+c-8 zvMQF$=~^Z+#=Wm?Df@WUGBkMBZGmt1D07B&V-DTQ6mJ%~ZV!X#@51;~kvc)|r84y0 zvO4=m^#|=oYn1upMwmZI5z@(>oTH-diBPk~>nck2A^PxqDxj89dtwJZ>Fb^;5-BE@ z%W2n1t1n#aGDRSUOxhD9LuFO*Z$Vx83Rt&pABhC}8c66zdDVC)Px*c4Ok|rYbsBu_GN?@-UJUhqr1)bS<;Jz}Sf3n`H%aR+ z$QlG#-FQcZum1}wV>AP#wO)U*}^BMMty zWWWzuzvoKilEynLQE3#fAJr)pf>iHT+fYm>0v{cGJ1#0(E2);tPHjC0ZN zrLs4ypG|X@U{lYI?>uiOCS5!LEukV0~yzrJ;0Z(}MY|k$@?tN=t50_?=W)2>q ze)dFNHPSbn&Z0nC*nUHtG2i#^kL>ndsjYRXNmFIqQW~C4q}-39tb+cEvekR;H{KUI z+{`%B34|_vO|Om$w9Xt~MiyB;eOVZCb|t2t__Xe7T-*rq0FNalb{Zx)!pUb17uR}Q+p6{RQ8kmbMzDA9s+zU64Ijm-_Ab96*1lqLBsNtJY!|7Ka;#}}-Ii2V&lnA*6g!|* ztUbiny@aM(?z`!Lg^V5`@7D=Wf!|ff4hySs^7~xMCB2=eVn;{T^~l_QoHtW6CpxTy z=9sC zYLV&*T>O}I&bq64{7u;#rlE^7T;X(i6N`sPJNW9>dV7-@rAdxBK;xag{}iu|5vTrq zHod3pvRLtQKwJ?~yT^vCL_DmAp<)r|A>daNXys)?1=s5821o+Yk*%>4=~vn@-hRK7 zW1UmC=I+yY_w#@j2DbskdDt%6b7@H1ki)3_^U&Q1F;_h6{hO~z&ECkpHDho4^nyk^ zlFdKgvt)6v=t^ftw-g}Zc6PgID9dAAH|#2K<=9jY)|}%?s9p+gaWcnd^i0 zZX^9S5TxL18^~*R*ME_EoO-6O=FffiI|dat0%~C?d)sT9qOK}G$HGxW{~S9+kJAd_ zGVkE?GQ%XFf-CIm6I9}<4WH{7e0!tm$Si;Mf*IO$Q%ZD$)naKvD@8lJ&|z#7!;krb zrSX|CqC^H}A@k1Kkk;`H+5vfUEF}?B8H8nBM|;P%sWyovS(*{LFYw&Ceh?=|+DP1Q z5|~3vpbl0BR6>5@P>NfwU_j6x)kE6b%d>;j;N77|_iSmC2MD5nOncvP(H4aaE{n4) zk32w;ce&7U9|mR##THw}xYtap3e7Ni-Lv<&_u`S?w>NSO{?huP9wfBH#a>Flc)Nuu z^3uo<@^f0@DU%j>Cz@MURa0I6i7szA@+mUiEtINrJAYoM9FhL8Mbb+bwZSmwjWN9rVun;w^xJv{oO?cG_xMwOAV!`gjxbE-gJ7--II}!1qSR`+4$OV z$zE2CKb$$i(h&8Lw9>|euWO0!NluU)i&&~_XVfg@>nuvY1Irh85+*ovvw5$% zdFi7kyS%s^V__uO^}Xv~GfQcoMkvxjkkFO$ZfGRDJH8$XGO*EJQPNgaE$gpDZ4>a8gB77n?lM!;TRYj6QE098NQh z-eKZJi{xnBeRx0L>lCT6BHVQlk#yu1yX?~{S?~Vf!ol5-DUfu(T&VvuOIOZZ0 z?4v67A9h_DYWG&Iw5_l#l}JU@k*9vDh#c2aZB1?D=r4t8wX^OrY>^aumRd6&1$Z}J zc4lHS)>*c0}t#Aadz2qZ16WE zn0i6L#7G}PcjLPcC2G10Pwj9z@R#cc6`e-nStwgvDduXX|@=PmT(N8o8a8|#4D}Gw$JWV z9)h%63F_vF^k@cBFGT|z+x;G)!1?f}&&y@@>I$>(_tcHlcyH#&KN@xwPx{a0<{t&M z-!IMonq*A*O~-_t2U4nK?_c+P>rcQm|JnivsxxOpfESGwG6>VzdV;V62e<*%8m2*E3=ocF z%V88FT37W!3E0n3?fuwl(2ak-(chb0DqO1D#RI1WV|sk@5b2$NH@gHxxTCTvKpNZr z|LG|C-`&eKYF}?FHqUBS$usnw?9x%Vm*jmw{lNIm$ahNK)1z6k%OHPCXz>rZ-&j!f z=^Wj9X4MQ$ttZ)9$W8@ut^9=51Mq-F@0J0UL#qH=VWJefxy$cb=%T@7c%H?RY zu!Bc8yrrT1O^P4tKMUw{U^X_j%x)#+SDDK$gGd)qiA%zT!CdVGWu`3UF&>vXi^zju zkp-qMjXaT~XRei_X!-XQSTKLjH6HbYOTs@gT|r+lMrXlsc_b5kOUAeMYh1=nLVyolnmk z-NfAYE)#v&0;e?&-}AYdNIx@+9$+1$4v5T4yWNKeGq^+pjO#Df++u+RBa8`G5@PeZ zrv-GCRV^GXtqzmXQ>irFvJ^0_(}umZ+#Y3rpvBH3kWVgy8A?&C5x+3Cr#)&bzdV7( zAqaJ7mhG$Jb#f>c!E>i}7tMPIKXC{>+>7~=UWdp&IN)w2x8u4SMJ1K5xRk6ty`lys ztaH3`Zt@I9Q+m7C;>tyY6lv7Mw#f4Ao3%+`Mu} z_qru$HyvvG~u{lrWo{Ux>~}s4c^_8_ay#x+^2gP^3*R@iNr2-pajTwVxova zg`R;VNJ1vq=1kr?I$n&Y6LHM`zJSAP(X{i~@mOnwsj^j=TPh&y24Xrbd9Z3;j(XFJ zSiCXsmWkhK*xz-_)?WDHjW>UcEVRG1s7bs46Vge>U#HP5Ys2#sM}yeOaJ5R6Uix}jl?Wv}6iD{{|8z|cKs0~9ac_W6z6sX)@a81}Gn9XT2 zDC14LdSE{x`J)`XK)xNtq_!I)uDS6JH4zHu>yU5g;~+;pku9wPo!32!5m@g#Ed=D# z@OK5vPvTf6OH(rWjWuml@oYtRcKi&C$a={mI!yR~_#BgH#Lvni9D_dlkj>_KD@QV` zMp(RA%MrmgT<+U$J~ZNb*HDdgVj0Rtt`x35u$S$}yFowJ((8A$@HkGP%FW+kA_oG! zt2b@8H0@&uh|(Q9g?=F);A|0xm6l-5sh7$h`XQRZT@IOj0>5OEY>LqPz1!FV$D(uy z>7+iHIMwyq>RX+huMvaRcRlB%pViH2aWbdIw{Bb#ETvOH8fu#9Qu7UNXT%vqmunW> zk!x3#5L>T0Ozsvxe>!CGhWAu-;-Yl#W|bLFCE1L#;Ia>ChT`456#~KatDL!71h8&( zbWH|RvH+9c_o-$TqU@aRx&nz`-INaX#do)L1}q@egRq+r^6zdXC&Ag>DaXqD$+FBG zZ#F2g_ZM31I&7H+jk`V{-b>#%_c60L$$MN~eLgL_ld*%mrHki(*_CxL136Y4H|6h1 zW1TAH0bt1b;WO^O_-8yX{3Wf;^G{*P0PvD+i$dh_?R=YO>h0huE7NT$jC*G#eK-!sLy)Sozwn!lxr zy?TIh%_w?CPT`NsUC@6sartkP#V6P7Eq|11QwY2kef>G)ABzXu58P-P{}s|*i|?Ob z549Okaa+D=&qNqMsZVE6GwJx`^vF?y?T5jpf~YS0^_nrkHIiGY-M@a~O~!Ru_oehu z=z|t&CFT|!q)ZNCJw5Se#6-;w>(zERS?kjC31#8$_KC2Ss7NpcmIV$qcf0CIs%bQ> z2k+MEIQH2zdkDwq56p?t*5^=J62NQR4J{J6h3{}a&Fne~y=76h)rH^v@J=-0y9j@L z-caG&U#|;TYpR-(eq{N9GbDEBJ}$4czXL#AN~*gFpvBaAl{-?N6OO+5@XKFb(f`kl z3r_LQ0DxjFv#L?C1h&2T`=I;Xo+-j(?od#XigFT6xH;Wtoi*Zgh^yEd&7Y~b4xd@7jC{dxw~h&>E>H8W z1=QWb(a|JG7|U8<(V289S;`N7&~m~0FJu%5Sr_Uyxh7!` zusq)94cDioLZ$Ze^sM;8$>7fxA8tLPi{omraD_r16f7Qdm{RmITpP*piCT`jYlgaW z(pq8V)bH9*ssChl*~WV22rV4hHSL)8NN@2_SsiHP$~aZs!aIcxA{6+$U=~$D+fjMN z&Dpe*Blbw6#IJ7gmmKZO)DS2at||LP`><1!$MhLbhyhaq@)oz?l<{u8ho>;tgxAU} z62yp@8%417u@mV4Z9v~a8(GamfITVB<$%C&pIDI#f7mzsrq)OuDf9e72Ioc^U?qKi z-z){xS=r|ZUzn<_X{v~tRlibDe0ODmh*ma@dR;%Z7J6)0+~{l=0Xf)hC3Evs z30%~PQoiEzMbk?vYwSh~Op1 z?S)ZUI~PTdkY<+S`P4+|XO)A7deLiPM$H5XB%5i^zFTKDO+4tp4&HNJ@wX?w5gynk ziWhoXel+0L$eATe61)mi21c3k+*qr!=6=@EDengkGq*mG@r{7vT9tGM20EJWUaWb@|w4;@dg4d&4Q2~(=D9> z0%)gK6q!ixpganV= z_2Vdy?k-uOr+CG`6G=*WxMu@>Plao%>bx;tOKEH{_P&BoJ23OB|0obxO6Eozk% zdr;buh%33heC=rm6Hdq!^m(*R<&8-Tt*%wAv`_n#T)su!JUJ_T}|*;$_(3wTrS69pO%2qBIH zZu^m|F5+(^Wjt`7;*XHken?UCEAlUje%Ep!QC#gQs50X9TFTe+g)uL zFr?O(>`hF0=N4{D*&{%uI5OnU-3=nNa(TG$Y?3FhK7=9qEqrZ)ZJ_k23Lb+F{q>EL z0_0=%N`tZluGE7nD)=0ea%&&v)|zF4UR#rf#A zC$3ZDb-(A0)B0LppHte}XlW5^HC+>YX|Q;Wy&jTk@Qaync^Z4&lo@;xMx zvAQZ;_RP{m{!N%uOwMtG>}KcJ^HSX@gDK$%3F4r(q4)Ez*TQLs#0*LFnrl59#i+xA znJ6upLgq<{)_fT>j~^XXa;Gh=j-KP~$zE}|xh@d{UY%)t1^cp+B3rR|{**9B$@zim^qxI05%%0TTv1(m% zr#fca?94Hxd)NF!*JEyI`}CgERFvh-%(=p`&pLG?*CVYC4?i;Uk}Sk&vDP?(sbVk&kL^jMlol zukv|QA}2P2bNa4wvY}u#1^cL$AnmL_`;rp#qNV}U7D#XF8PE3Or978+Z6Ndrl(7v2 zpz-dM(^u8tg!QNmq1N##sF2i~>_4=!z4m+2!9RQU-%_aS=lW+4zxM{TzP$@w9%+XW z>bd1De@GyYrr3YV{4Vep0&9Bq_J_ESk0w8V>$P=!LFesxteg5NA}Susfn9`Bp6;=O zgIcL1sV&an5pkH0+r1L0L)m53adSE>RMZ75BA$&}6~8+O;CHR>J?&(l5jik$%$_K=qqOjmLd~A_*Q0`vt?jLp zUK&dhkBt!&NhG;4a{hbr(VzRrn7=$3v(>0t^7WX`qEeEX7Bv<7c6k7x$NXckqeoUA zK1I%lg=0LossJXyLt*S2-{^Gijlm;F@=spHo;qBw1S7U|UhVwEv9Tj@b3N0;WO@lA z(>t)lW7UuYGK=Y&+W1-r6TCD^gt2qA?B#OyBin2u_dI!_VzRffl5v=Fkkuaa%;nJ4 z&v}TtvxaIEDVx0B>0-bvsi`LN<6hLormRF!I)QYh!m*?qa8VFcA$=I=KK2>vSR23u zGEeUd6xCKoT$dtIp3aH89?*WivryaB-Ay@WFo-G%C#xQkAW-t(XN`z>-A5^1PZ-fuT;I% zP>WZbTat8R0NMu>sAsd`$GLaAK9zH$E^~*+e83$#$y^G218#F5lMAi%X z^ugdN*Itb5Sp>2=A+kE+R_}|J+Oo*u_vM5SmVb$tCmdQ zaaQd6XIIHTUbAri_}_`Q2~S`MqTW*hVNk;8RBIC@y8M-b)L$Cw|HYyIy_9end&URk zf}anem@d$X|9T5?*W$(fWzgOthMRTb5Q+{jfX)Ky!GIQq^~i-#It6qN1QZb-{*Ty! z;2co*-)qS^h+Lpl3Y@MEBT1_SWonMTtkvXF{ljMV?>7psfvtiIl*NGq!0O~RlZ4;H z?(XQVK)V{|8i(rR!;uWJC-q>xN@{2U}RSW)yd8M@#c;H4-~Xh%EL1F9i+B z>a~6{(dHZpO{hjL@A-!<<)S#PJ@=CnJQcWDmg1{XXIfj0hsgx52Kst%^UqCvK_p=5 z&N;C!>)3TI<%20n=-~7_d(+B%WAXzKtZhf76HJz^kN*4)yBY0tiM*WN6hsq@~Kx5<(Y>AOjj}Dau0o?NN3h=sTzMEpU$J zk}Srz@?3k=kPCxVI=F-;B4j}-PcO6dplz+D@vz~Mum2c=d>)~8_XYJA0U%W%i_C~d z_8}}Vy{k3`p3~+RExcN~d)BMA19m_FvX|+zsGjCp_MbR+FF^;~y#ZY`&&$fSb+FCX zr4G{ymg%dhANcB-x}5dM592P;E29b#VB+$bIgSB>th@p5mdUH?AG)pg#@c1b!N5fm zxJ#~+<)rR^9U{x-;r}}K^6?Sgt50G&18*EXQ2o(?w3a1j7q-*3LFJL%-#hF2vnpKC z_#8veUi$vy+W*^k@mFd-w2u;b05J1wf5*(1amMcH{L0K9hMnxu4}JQl6!hm` z5cc`E%euas?wfVigObY9^U^{+%7pN{LA$OUO}Ut>RW#~b8a+JzDjjR7BdfZm)+_e< z`iLZ>{HC2U-ZnIX+c^r(bjE_rivU?duSp|_Nl+dms_Dv>OP=mtv--~Q@Z}rn{Ld@< zy<#a%TY;g2M=NZe(GO6e6__`T;$2ov4Dr1Ej|!#ZbyCuPmw>hcuKbC%O8$hPoTGtrqmdh2tqx zaG&K%#|Cd!kTJNTF3k1xwJ6M)+ojL(Sj)JIu!khm zgx5l51tt{WNGExmR(vdLN|~faJ74u!6qkpEs59o-TaO9VbdHIJ!VO>y-N+qvw!4Mu zTs{vF*D&W!D4EIq^th@{Jyym9Qik|^X$KzET48x#Od2D}h%&rl#EyRQdOup#CyrMr zMHEyrJK*H$U^{hYq*T(;_$`5NFI1X6C&850`20o5_A<#YV|k|A^eFas0Y#|1mFdnX zLX^*s1*@c%FYzv)*i^?x96XRczU6la#ID6WKNXCBpiL%QkZ>rqA`INjQfWpmT5O_) zZpVjfbdQoDbVPOBmNM%DjZJ{6bO+Fq&bDNF(S~y;bWcJ}bLs=YT}%(c;vUvUHjx9S zl|N>;;EN$#2g#a|^V%Tc-2>uS@!%9YC+1Lak@aed_7}sDLLcR6-N8Q`w*S+O|CeM6 z|J%x)*N3HlVY%v+x3tY%lYb(2N=)oFuHP_G)%=*R3|_=3ttF$YX&U1Q< zGU0WzzT=W}0Ofi26DR)aB0YVBhWBG$P?1)%k2mHOGzN z*VpO;Fw0Ax;uJ97aBt{IuFk}X#Dm$+8jsZK^JI5k>g8`D!}2&pGUM&6Xf`C?9kU-^ znG|rr1GR;nc<^9?r_HLs*1PjVnCoEP)UH3SD&l zqkE*OsEJV2g?>&Wo#oAgP!`6s1<$;@-^_SMY@2ruIk_Rpnh7;dwdNM+lk#)2LtQWM zUNXWlCJJF8HaBaeay}Ws2Fw;r$FABGjkd`epF2JTAo}@l@eEs zejq<@PC)x{uUYNl_XFaOO}7#je^hLbVH#aJd#|-NrZ&n-)H<(}_;l*{qU23kVzjz_ zFz;6jX4A9QW=D{c3Y7bhXFLxIa)=W=J+OGx1#U9f-Y&MU+$^5{;x#?jx%ulZP4OhZ zzy>Q12rFsm>^Q4OlGElYsj04Wy5e0 znDX?{<6R>}t!2pD(#L>*FZ@hx{Yt4w zc-kju^bqUHX-g;na$J9B11q-!Zug=5Ui>w-+x6h?L|baP|MOD{)vlH49G?iqPMTPz z&hei(uN~-{;;@64pndt06lhVpWL+$EaKV!|S#Ic7eQK(qk_cF*OYJzfX%K*Oy!F@Bjtd}gAETJa}NbvdHV zw_Cp&`gkmdZ6ZP;DF@nx0mr8C77>GvBVos5!r()K>2zOZEYdPEWdTi4*?#%MB189WlY=@_U6%X6eMg<5ixF5RX zKCAeo`QX+Ib_s8wJRY9>=h(5{{p8H`rmFWbOoDa9u+~PUbe+(NXLLKXL9*lUZVUeX+AMSS&iC08C6jz}l6uS*d$ z*q{$t{aRw@&{E1{3HE%CCf4CyraFwt3XIs1I2%70HyPUaC_pPKT|Xtx<#p^G{xF)E zX73=}SC*2g)I+B{1?3R8Qs&h2RD@@FI>IaBrD;DC&bG8=j_mXo(hC?lD<%E4|Aq8Z#I$6q?y~qk#m& zSm`a52Xc$P9Y@{!;r4En(FPZ@pBh3$DF+w3A4i4)(VDr_k>$mih#nw4EA{mj$wy50 z9IcIv)qmpX=b3FcT>)4J3XaR^wuw&l6dv;a>CVPQ=vKOv80-G}I0bFCghj*yhS>`6yhGo?JZlepQ z<|uk?YZClzk7<`X%_Pv}9m7*f<`uzI1-5-l${$(C*s~_oIdWE!jt&^(!C{;2U4cDg z6ni%F6Kk*hpHeAh<7UkGGBI2qdi8|)m+i__6zEC;4ME+%d72Ke1s@D#&unw88|Vu> zoohR?Ay~)XkS7D<;Pzj?hr{d_Iyt%_kf&Cqw7dxST&ax|ch2%sK+=bqCv>IJ&k0=B zF$PYSOonjgm&t@wS4iO!Ey;=A2>qfeH=L^Y?KFx6fZn`lwK^c(wE1d)>fOCJL>XyW z%*9n=`xdX@I4fM-e1S3W^AnA-4X{S1B$t;bsuJ0+#10Nkx`I?#ME8*;3szU%rBbY_ zd%W;uAhz7yyEn2arQv-+u9iZAY>pf8861;~rFK)FZkK$3%r4ua@^IHKSAkf%e3!X} z%balU8-monP+kk?CXVJrXLi?irSIX$9tkqG14POr$!Foiltll~N_uE*R4&n0Td8r( zBJ|=_kX34!L7Y2S$MYjeWP3Ps$)x~Op85U zL(m{~(la(p}vKJivH?|T_Ev&r>sH#M-Q~!r$k567t>k)T4&~#UjU7CdIrThK! z1cA3rj3)8S>jGVU016>%P!?}C;lEi>X&jCq0JuNEo!RT%LLGp6M`!2@PG9K%apL*= zIcLm1`_7jqCXAEdAb@cah~GUdUzv3n2}LlESN_D2&~6#;B+@k(G1CSQjbBwrLPN;d z-V}1T9;%ffDg2gar&z1Nmt2rdv~7Vx`h(>S;aZk+z-7l?)J;^_?}JYI`ml^50m^2j zISKDIvxtsaNBNn=T_5`+0~zwWr|^?jSFUP9+6JL>?R{vn#lSVP-yJq3?gtJQxtj`rgG%X)bhDt6h=-K#)i^c!o z2dq+eFrH6f6b>yy{2l`{M=%8dIP>Zvr6*2hw}H9WA)Q)y`^N?K~9oa)Z|Dy&oS9zIwQDfc*^AQzQ0x7?IMe zjs;vCfku)?Wfu-RTbDY=!eP43ug&X%O|)j$F0P{YeqhKyl#{02;cq>4@gNS<6Qkwm z6l(Bae!U>Ebb1Zr%% zh9RJSlCMl{x$XKBhb%;r(bpVn2(%<#T45Tu?z3|Cq!`q+#4pM@Z<#KmK{;eEvlkj* z6WaniMX!Bm^yUWM2tL`HY5L}BGkeu@5qWJZ@Kd{=(h=yb*v(I=?`&@tzuF60e;aHl>$Syv#i zGrJhCkyU>7U{0J z3+l(c>!c{K?Gj;T5%br+^Y^+uIc4E@1zh#Ajye&Olv5T^UTnKytQ@?MA9UBHy^EVQbqd6>^-%sxDsn{XCDy zZSFf-t#FgDr$;6F!eY)=-P@suxUL=6jF1!^;!`=dG=$E!c#rS9i%t`FlE&^}+*6@w zE*sbWM>b1$cLFiDASd52kB+Hg-WzbSRFyWntX|ObHA!Sa&4za!9_+xglgg(D8*PuM z9etlZhl^~5J49l3kZ2u>cY>9~dzK25Q^TV>bUHcpKJ+|YmusI@&*;_ly{_i=5|$%t z*L>gj_J!NQq4AJYK!SWd{(QQ1aUNaIRet0w@*qm$V)67?grivxdx_rGdGN4~nHGc3 zF-`%TBowXBH&R}g(!K&nMY*HlP_CK^earIG6F^7C(o>*H?3?5hNCCcXW}vH@@0uLz z+{*Q%Zl93=Akz@YkvYv8;l^(7%)IRF(^^sxZiod>7j*6D4QG@ZQa4U7{OIs~TG$dQ z0n$T9g@{zrCiP8q4WwVyC|1m~z&FO%M73x*tt0bPP!Xk;Q}QMQWZ%M#^`r-`{h%=w zL1T7KUPbkKbzc9N=U-Z%4J!?ES?DLu+IJIaxs##STGiYPLiFpwBCDHCl@pYk?^ijN zf!LSA?>(p3>$O*Dwnxf_iKZC`6nreb$l|cvFG=!dY@~fn^dKX!i+vP2*{m!Qr5txb zkmu&D4Z=IYxE@OuN+eEiN(xU2;QI{NYQJ`rlfU-JY1)#43Bdhibr|ukRD8iGB%PDz zC1bVEy+`7Q+>|L2os32ZF9(^ z3)@vCoNLVAQtN!$si4%jh$T);fbC2hJ!+0TJ5_u83qCIHt!u3HrfDi3NRjafvs9D0 zA}>S9HSd^R=hga`?c*st&0!vRVS;u(~WzObrGhnCNQ!3Y7SZw z?&|HXzaU$ZW`9bf*~tIZF4X4{iCw6O_EX}%vK8hH<_%GL15X`zYxYCy^jiOOG0&Fd zBe1s$2j+Q3pE)bWYuHH|DU*@G1=r2CIs1Nn|HjGuI36ZzTJX@|(K4+;Xq<})b<#M7-G%-q^O?J!L{F2$R z+E-1j4UIIE^hBKe>#e7-#Qtlc=&hlGTyKGGmxompe`aO)|6R~X;C+~)x0F^zd1Kwf zPX;42>aTvxJ`lTUF3Mp1VuV?ZxhFnvXKfh3=-wE>q%MGN&u@`~NS%wo@%xuIsr)I4 z?+%RI%*8XlXZ@bJOt70pV)#qj5T>~G9mqFnV;2dz((oD9-cT4<)gN$xP=0EcXgUtl zW@IA}(2(N4X`lU=tnORidybmj4tvle6}?^2FQ4)MzSds{N^>)cXYYWh&T=GJ-OZ?f zcS}zw5x;)o0NpCw7hE$DLC!#FCW?Q1ld}HKi~eS1DTO;5o9SVkfHYisWetqSzq z9fezf5}ovl%sEv+ao2t%~o$^ZDffbNTf~(Dv*$M{abQk9lk3RdUg$pa>kFUhEu|OFHC= zz>B!PwkDJ^8{4t48CpCuy2i>(n34wZ4~R84`0AB`Z*R?J00ap^sTwFef2RLB@bOXb{B z=ff9vczb^n@~rgRSZMuuE1JxuV|ZW%`T<+3-r)@P>P3>ugQ(xjNw?+BHcX0lm(aS-wwD3m>qV2-pe{8~w}iL*Mj zelvMq@+Xc`^6q6sRZYz447-5M#nW59k`tIOfSjuxv6mxC3n{$J6D$as7e$j;kL&hY zF|mo4&nk&==1fLP{zA`9bo;EBL#wj9y3|X;@b;#OennZ!#JelOk5vikOR3RJVsD&9 zRF!WsaPU>|%HGsf#uvXQjU)6Y8_)j|r~Z9F|6}9-gM|E9NC@3zij8_!&Lp%m2DA5z zC|Md^MV`_XcxV5P<8$|J>sh7t6O1fge{uJ)Y{^{(NaE>Z-WXTo@r5`AFYM{d#ir5^ z3{*W1AI%1CV{df#BPPsCY@}vh+9sz?OPgPWaO*lYcd`TtMzE+EsYhJ#pcqxdS=YIV z^%|-+L>DeysN`+&nC7O^;PeF0N4+s`+;(2qDSWQq5rgfNad36DpO(k;m3i zl5`GTBDx=QugvI)M#1o8^Y@RUub$!wrevlVnj>XTzt>G{ToBz1x&=!s<~W|v0dw~_ zelY5Ano!R!ER3`RKguJkb4pT~kv>*JpVD($b305GErf08yYi_dZVEH=2yFF>kId{x zWZ>5~67}8iP*ZkNtCmRLG{eKg>!+nkrMIE%Prsn*;qIW56&z7eP8ELkL1Q$`kmaAt zS%0H*{QHmpg<$iy;nw*=^sjo&lfNZ#)HfOZ|LEl*{!5A$HgiO?h>^}#GPE`_H(`nR z#*E+@tZ0z&Bi@~?B6%jK8UcgK^3AVF34*l!s^+`odpXN0_}C$6MN}a4t;*d6uCwZb z7kKbsL=2oGs(Qq}Q&gqO5cj^y;lak*Mi4Q%k7;g6RF~h$kjL$mLiY0qpZ;;pAV=s@ zigXjp6^oZPDk%53;Du{`gEdawGoNIdQR31q{p)DRNVnH-^3HSy1_nk3fV?x4lKAfL zKK z6h1pe1_8X#8t0v``pAeZ{hsNFYZd;2n6@XbiUJ>46DxT?a`MKoZyy*N4{t1y?}3nw zE3IATC>7)}0{1maw#(j7CZ;9Mljc4}mb<@UH6n(MY*Gl9OwzHAX31Q{!oVnRARXr? z&Rg(JD{w7qq}SaNJ%R%~w0QKva%IXzh;Z7sDSIW%iFB-!dEik;*`wgn#EE8p3J%)o zZotu)ZK`_dAjD(D*X#CDGb2#phu`gLFfCb3Vs21$;gvHznlT9#g1=;oz#5QDTMQYy zXE=ls>@Dli?jeQg4(OqZN`NF!lu~VTf@1UG=}h3;TVhcR@~jCwluxegJL?2BTO%+o zBs27K|Dn?g`c0>`8qjGq^US;0PSX54&QsD>tHK*ol%xsrG*xi=j(&m30a@(npT!_0 zLqrn$P`k`yICj9Twe zyi)}rLm{?qk88UJ7I?o_i$Q@@4dsC+Shf_ASxgrg7g-o zh*FiRv?v`B5u~?BZvq0+G$e@91q1{Hlz=o50qIpj@4ZUs0clba5DcVvhik97?%aEo zGv__`?0e30*FV5B7#SJmH@^CQ@7scSL8cg!3BI+FB`Q4a`Eh3}onzEc-PG{b&4(E@ zr{IQ9HQjs(ghJ?m?uiP;nz3q^gg$2nqW)RGOG zT&-K84C_vr!E)QJC&&#fR1QJTp@_v?|EBBsmPPs#yDcVgChVuCCtPo9PApPO-c{q( zN@C*IkWUpj_nD2`c!+MtQJ=AJA4z1+SmMAV2pWB*8*)uH8Os?iyGv$MXC$V6$X|WW zV^;q$g6AtsHS6abC&wt$gzvlCf%VX>IRZ1#0fW_qGfxq9xcTv0_xM=1YElQe-UAnR zdFOfDMC_>`tA+ETtzDSU0o?yn?7;s&sd4?kg(>=bpZh;wYovM&a|g8DWtWEtYzI)1 zU`o?W8{`N)e1JICRrzzzs3uP5}7=!3FoD>Mfw+${nV&5ayCtpvSq6R0T&Z~gnQ{=0Y2SZUP zCMA|)>-pKEn$)SJ))VhE8={)8X)kNEz6XhffSOt6ILp4QzP-#n)jBk-xD4skk4Rr@ z-=*C6H0x4-UY9%bK_BxJ(@oAkk((TZuLe(7-v5P|_szHV3pbH+CgFd30l=S-SY7>S z8#b3lM}i7IyIl|C@gKarPLlka6o2LAHIn}kgy|I3-e?d+Rk8SB_*{REC-_8wMwn8e9ou$u_Oe$=E z5T909!LZC{-3|r4;)Yor>V&`2@^YAdHT3DGVjpxVG_ce>lUXo|#G0UvBvhEd2NGQX zv0|z$I}`4zze*e_q|p-N#SHJt6vu*FKb!DCy2xC$jqZ#hnoFD;>WBT`M9P_y+Y@%~ z-)Ire`dCIgKRz1Qf3(qb9no@cd6G-jgUec8^g_%->_A;e`5Pu-)_f+^cErqr?5#Hz zb#Lc}ZjeF&sAcQeVKp9@Z;Rr1cvGo_ zW;E`CkC|b%?{+Evl4-<&J`KDRK@Afv&WbP?DXGj*d}VT$^@)dwOYYsim(5ZM2`!tV zbn@*3?mPD65y;*P{ji@PYp$Ol^#Nmj{KAy2a@?~;XqX==3XHu?k7$9@)hMJ?NJDe| z%k~BS6KM99PnBU|mm03G3qecfhg|^#knj;pGYbq>(9Y4Bt|zprdz!_S<>8=3UeR)v z;O(;?C+kX-B(6DB7vp^ycEf%PixjAvQ@&dFNoV06 zn3@)z^X3_CWIl$JiVB6;Wc17}Y|YyfVi~vU6(St9xVP^!C>y`A31>_@e!Hyu*8VV( z6xHau3`JWu8w5f+czMgmg~!qZdFP>WlXH$WwNHinhsE~6f}Li&Ei2)mhjRrEUOkV1 z)+O)m6dlKRzcz$k>ggH^C^#~3IHYTSLEs!?-sZm~&hSiy5wD1m z+#14-EiJT5#*jHt*!(3whuBM(B|7pChpTq)f{lrN@q-MojB>GjJXi@DGW zXonXo(R_?7LR7+T??yj*3)Qcwe(m~Fd1ctjGKKQd-3WyEvWRi(_TbGfj{vv>psKDJ3c=wH0D30v@O&#X>suMkI$TUb?J=WG*unMd!OO?8c=sg| z9jlKqjdYH)wr^IbG~9$c_mAn?WjKe0Qv-Bo|BulB`z>2)Hr;7%9SIB3GN_5w9%@7{eg(Yi<5=PW&50fF1}=Z+cLO z|4%hjcovW+$k)RFs-#+d^1SJu>1YzHhK%_M+L1nh(2)V213(397LJTNAO`a!93zcb z%5MHIQ8W0jlPmwgFaK*%;R@6bH>BhMcrfrAbOQ~^xJ;w{dk6csC(H2jPfXFuHOgbe z?OS>IM~S9OGstqcdhv0#6yGq@y%O;^I_I|^_Rd(}Y&*fAN}a!$iHR;dSpP+3P5u&0 zMEnH3Dh4QU5=7IM_&v6_vy+R-0J^gZ8Tkl!APnDl75BGf6@xrH1vs73GnU?-(QZhb zF!#xQQFzktBxmV|t}=+Zb2?0slt-2Yq zSh0GS@{wu?>71!_tAL+HR~K8R0uFFdFC6e;ejlynqa5oA?ryXfbdi-ibE^?n=bHDZ zI~7f}M82$PO(Y^()DZ6GkFLH$w7Q);xi`@J#XRO+ZP)RT@H6r-MaAIOzFDJ)yzzD& z26+zQvKxzFY2?Yp(_)09g{La5nT*oWiji4TAK%9^HOz|H1zFmE>Q9vOO&W0BGT!Yxc&hR%IkU28eM@EmOh5XV6zw>JC0yE#!#9@+8pzL^DrXOt5eT>6jz zYniKlEb;{3=W;w0WBw>ZS);Kp#wnWXHLqUw-;=r}(R^vg*WkJ^@m{&4`_y;z)_5Tmt>+jMXIf;dOfhFu>#q>7`1Y{tE;;& zE{7_ehdSc=Jn;g+i0z^uYQyuag-nHGDhYEN9GX0S6rnC=@I5A zEDXQ>$jJcTN3bS7!Efg=oW%n?ts39&W7KS2>HMpAHhuCnUYt&H1-Oz{0oM=*Ia_`Evz{L;6fv zFRQ^J4qxF%aP#QSK1^z4hI!SPbzaSLOUs#D&%Vk}=d^frc)p}xHqaJU%#6VH9WImd zRG0(d3$0CDID@*8tyGWCRisAwP?oJi!DvTnsxujf@7GUh+?Fx-F0>zLxf*$)m}i82#y3uPxuU257FQ9sA3{dg79tR5iMBXsrvf5GiPDx-Q0iu9 z@8Pl9L6x?my01g%c`LvkC#Upj@XB>Q1V=h{Oo>~saFYQ4t*N^nPO;RgUA^??Q?i5$2;Kv^exN+RpGld?1Tnh*3zE z=LI8&%+Q!nQxyyzu-7M#fYmD5a=O$zU--Ft@I-7UvX>ERbJ<;CFI55N4L%%hvqpa?Y%S=EBiRJ+5IB}j2D*Q z3UfXe=XI*@aT|VhLKf78jay>-{&8OX2YBM03!<$NVUIc%Uj7L>{TK;!SI0?C*1d&N{K5#=|52}>L)4uEkX1fHLu5eOJB4S+h1B;r5z)jkmfV|T${ zcF9q|OVN@EjFj~}3U;z?o8|+C6$8m#i0}GcWV!+ z0Nj7i8f>2W@ZabDfA)P(NO=D%Gz6;Amg_J4=NXZA?1>NE0{YuF*7W#DB9jv8N=o`~ z8lM1fOfo(QL6-zf%4cTh%-&CqF^m@dqC;MHd4BfU?5@D@WLc*a{C(O{5w7C!BA$em z;5dMuTSv@r(s77?a1|;kPSC>LYA`Xou`{Y!lu60CUJ!YE(C8y9*;?`SmBPQpZNGxK zKRk;KyebbCj^s*#VQgS!{{1j^?F?C?;xAII+`pt+Z~T7F{5ay!la#Bqg;&yKh=A0f zYREl+0yENa58k(i7~=@=+z&2`J6hh;XK56((mAlSQ%07r5tJ6#B!A=(o1P%=wOQ#M zTXxm0MRW2J_yLx-T@{k89`pj`9pgFxi?eUPtZL{BJkH7 zC7Is}wbn(}`w2ov5S5-IMt}#{3$U^J82rKg0J|4u{u5M~N;U-2n5O{0lmv7iFsv5= zjJO(^R~51j@cn&-{sh%s`onu(MznuKjQ9NnT}J%40ZenGN*)0wISFx?4aD*nz~2E% zti4j;VZQpK`~3uAOc0xnK$3tWWFgvhQ;C4F?LiUl0yg$#{IM|N$P_sFTaZ7r7ZfK7 z{%x5+FhYG~7-D6C^d9kFmeT)lAIKkAN&jAL|9MsZd$s+0wf%Do_;1_xZ`<~-J?_6f z>AyYc|0!|XbtDIQp{tXZ4oCGo{wchN)KD;I20*IO8N|}c))BAiL&v!qfA3mn_U>;s z3v?u|jYVJWRehfRF(BUbCx|14x{kO5$qHuaFqBCR356IYuJs5>8Nk*|9G?|G8n#s82$MQ#TBc&g=H>!UBPBKku^R)1f#-lEWsyXhV6FXM7c%xRI? ztn8sn?c1xDfWegWz079*XT(^UUl`o~E30w#)iC;yS{bvyvN+o_M^!!J$P#}jz`S+2 z9W=m7t$sCHEfFNGe?OYeE}Xks9(EOjWWq~YRpI2H%jy=hnU;y&udhg3%oN`=sP2A# zW%h+}c#z@E#RS8NA7`Da6}-SOE1*8AX&KbSkI%V_qp3W3qb5~SM5CclUDz#Y_G!|5 z^rIlHZO@=Zjt{fU5<(aLK&kwn??QEO`mrfC!u~j&3)#2+4LVOpHp>^f@K<~qPgh%f zI9Uc?fgylT;A!=ej3#zxXgKLa_z0ugYhSg8eFobpjto77{Hea{5hUO(2zvMlOACB_ z2csGW#Vs*S|9xbqx&pC-Rwte)AX|LeXE6B0RP}YdUCzHVIlf8jRts0QiW|-N)o-`j zZXzGsf3-zErc4eGUO#KX@gwWHne%+efAgk?j}1SePiVheag%+ekZk)hknekk;+K3l zlstjL-tjt3)T?U5)wDbbRJw}kpchNgK4}5Zn$t$BmxmrE`_lN%XyAj^f z#tJ@3Uk!*lNEwwOjJPiOPL2=2+5V5(pA3J7j7tG}+6wQ}*Qvm=_CkDq|7Iw8Qcsn7 zzsXWI`SyCP<8_xG6ye-IcwAfrvXASQb~%6&l2oH*$rrqH8DA{pji-9(2aDzL@N#=I6R3s)>ETx0EC zKm{?bC7cXAQe*6Un7jDW_M6UUokBfuY=ir7)u5L{_^9A-$Z*QD+Sqo?AWLmsZEaxW%P!6<==V46xUN%DWt_JOD3>qLL}w=X;`Yfj zVMVj32v73)`5E&Q_G}|x1Vv2qNmv`&mx|A70zQ4*wLC7nQykyV5TlDdP!SA#3TM_4 z%sj`YPkKFiltCW!t_gT^GL1X_wNw2vJpay+eO%RuUq)X*V|iI^CUuLrpts_?r?a0< zo~dFPPYsva7#vvF=QFHoen{!ha7zFZ6s0w$ zS)bT_?Du9$m%8tDj`JDiJHy`iN!Kg`N7mlNk5{x#a@O|yaH%Bsiu0L@=^pv{6 zrp}2d7nu^oT~s;SR@Kt(bioqQKb|`Peq~}=M>b|rI!z%a(CkH|oiHU~J5~7xl)p;1 zqW+D3sk^}4-`4|we>Q*UT8LYuMwA1sWE`0>ql-*aL4%{b8B%F?g<`xoXJrQR@q?7D z7xX2zx%3Wiaax##^M2quPEm{h)g!@kn$!aC`9CWUUflZKSj2xz)$>nZ<$u!$AV2>E zbqn)BKGQI%7U;qI1ezWqu#zFm_$rJf+d9Cdc}{lB&*P*;>|CXf>!&UOb(RZ327R}g z73F(xUD0TswH)e@_pLY!8zT6S`w-lX0)_Li030&P7Pp#Qq|Z6)#)^}ztJuHxl)lcD zRS{+@a9QAzAZ2KC^|)xu`isr6V1@xA=ce15RPOJjtr#X4zDOVD;qNUXDFb5;pWxT3 zr`iB=lYrCue46Ev?weE+Z2+O({VsvwbZkN}9a6*3)BWYLsa)5F*o0&`q34 znlJ!eazb#UH_?90uHxI0LOM&{QxD`139pVXJ^DT;eDBV+4GlM|_p`(q?A!S&f;{YD zc>_LbNf0#-yWrostBFFFb(76$>!NSv!ut5HnNWRo?B<&?`n=+!F^$Zvmn1SL9mWUi z>Q9uwSQRh!dO)1`J5-b%^p&;bj)cHng)%>LYMvFMXu-)0|0{_qZ%L)5w@Dc&yHX1Bklb)< z6CY0SVa#%s?o-dcAlOo!fc%}vf_he-B2HP!i&lwsQ1TgstE&e#e(~E(Yl3vt59YhM zKq-3Wpv$6>w=gLZzOmhO0UxpG6}s?gtyMBAQxL0>`l9sXgUaV)whcx`;m7X6qKeW2 z$OPkBO2Oq*ci3&ItG9hECYU7PU65+tQi8>|CQ-a4PO-J#$bWbvfAiY*azgRfs(lk0 z+sw=JcW1kwGd_Jm{4C<8+M@ZvxeZZHwKcJb;vrAL<**Bp#cX%6HEl%$8YzSK9pb(& zHoCi;eWlvvTUDjG5Pj;t(WjF1JqH5=6PHP#lRhAcs&?UVgbGX)Io~)?6xawC~ z3lISt{|6Cpy3iMv7elp*S5JnXz2&`X>jb|5ANdIaSAo&eos%{SlQOj8Cyp2N<9dG) z0WXc33redHtCv?jR?1rA^a92TJkGkMBUL8;hDrHd==;x;l)rE1vRGxARaMqE)#~bA zvcUx1VY)WnQ1<QY^EufDee0dRQ21Oz^P7T1oQK&tEcEk+o z*h;?;*nGqRbV6!S-&5dOu%T^uD|Sjs?DZK5Z}n32*CtX=nj2CNEr`5e5V|SsmN?Ba|Lr~ZX4<~B`Rm_65mdE-;6qRR z98S6=33daISW-lubE*E}W8Nc_9cONW0j4nEgWy4kShUZ%xW_9dzNL4>O6`Jc2&ZA^ zNgs$DxG9~9h=>Cu4c>+gv0b`-&8fVqu4ZrAKS=u2KGK`l+}NWyTo9yZA6azAWh0MP zU~|A-9dC}iM?T{zL$cxW&?hq@=yMa*_{=Y)n$##JTL;mNs9kvgt{>Txs(S8lq%j_Y z8T!R)O9!ny{fpHW4zSwxv+;A$Aa6@LD%XOdzBax3c;ltd4ZpvT+Fl-unba)P0A5 zYnuc{a)39^Yj|CyihUke%kn(qc}#p`30x1pfM7!{d5}krkIIn)qe|kjtV2{H8aeWr z%Vi6SI^jG|>o&!&~Sm!aXE@vY?f6 zHw&?G^5B}IYqIR4AW0&V6{6!9r%#Fj8bTY6d9JY&0^AA}%JPR|_=tBvFtUX2Se$cO z5{Gu6^NV>ht~V!cj@?bscz&L!&!w$ZXmwUQFS70tCY}M`2DH>SN$>LUeWhB99!xxz zZRyoH$^-e?hkb!|(X?rtH!5=D%EKe&z;4{jmmBzuhugoTS0p?>Zq435^6ND2+w#pz|FV(fHPEr#pq$NKo93x5a{6=^=H*|V74r@7zV+D!(hIP zsPlNI&V@UZM4eOnZV59Vx>iYVm-d_!*kX4a5_Atdo(W<~PyXO?wstOv8*sicqUldt+6o^Lqu$@>?jJ^x}Bp!Y1p&3@=!1Z__{8f=@B1r%&~9 z@NTM-C?`2=Y3Ew=DkEu5SHB90v=l0@J2LTZoxt)QnAs@rqFQ3jygePTNI4c@GjUGt{U#7X{_b->wz3j%y4W!wGr3y9n=0H`w??> z;>K^T>2Hqi@BR5d--S;36!m)~BOnh<=2FA49p1;u^qhOLOB?ifq9OoV&Lq56qB6Kg zzV^KsTV8Sfo95a+gH2)UZ^!#n-VjNiM(ugn{PKnY=PZ**Ri#d=gXw>(*N3U>#oCKkT(gA1vip;x`veH%W1l6iDpv_W`h#I-7dt$vSRNBs;)p zwq>f$SYeG}vJn0m!KSaRCF}*%v8wvquCdxcqe1GCf!3fU`*LA#fsU}xrtS@#);2vZ zq7zB?J^tCe&=h%QiRWbVgO9PrAK^MxnsJf~T1@>j244UknM|J>?~M`zB;M-L#Xn!* zRJjPFpW10Oz}A?P+sAi3EP7p=hP-_1sUE$|?|c3A=DudZ1>a8TP`AxdJvaM1d1)wY zO*4Y=C&&fBYzymP=d(}X8>~|HjpR+GxQyLj(ff&phn?+mI$1ISl2cjVkagzG>!c&` zjKWU?p@TkA%iCiS!h|m;Xk)it@FNYA%&LfQxTe zb_(`2t);LC>OL~i5lMI#l8`01#Hjk>%~`!i_i`N0nqG5L5Bpu(@;|nljdmq5(Qlwy z4}HJJ4h53ZU>r-xNC>x*{1O9)ISHkWB6uOG(gZDuMc4E6GcRhfKf2dOw@mdS8c)8~ zzZTl(ZuhC71WLLrQM3Eyn3uanOw;*HFn|WjtvDzkv-cgk{{&@20B{%^Frt(M9RlOd z`<5O95U(CvKmij8L`m=KoQc3Vb59-_*h1$>kVOmw_|;@u;09{vkoi6RfC>iqNDOjx z?kC8=XXxkvfKBNVfk~(EtE6<)x;_Bz3i}BHgpYu%l2KmaCnzhPm;xq7BL4G%?SFq@ zoqvAd4&cC2q;voo`$v!bzsV_QJVvyF|9aze@*w9c@^<=w)t?ANg9$S6ryNacDu|Bc z`w)A`bSe4y0`dI<06Ehzg6UzXi|(}}Rz3k}U!9*IL#g)-9}q84{ofgY4iN>M9VXV4 zWPoK&Q;8Q`W)gwU_t0f#ETsg*MsAtw@RZqTdURgfdJuHgPv*Ogb>ddMu0;10c2k(F zcrbKx$Oa(Qmk(EG;0pctQHq^6EABbxk%du?u1!R#g!}w$Vk4;(ews*ut$quMt|VE2 zsqt}sQW|+Pr5P;W5EY(pnrW5;+wJRDR#6D-j~M9(rnNakXMaSKJyZ03_vXdB_l|G< zr~tfeW8+Z25`zV4Nr;{BkyvfCtSspubmK4GihnV5^&Rs3F|*AjeCZ;J{!RmC;-FYz z;MEVynAgh!IQpByhnLQ}x86Pod2{db1s6f$6waB*tjYBg#Qu$!j`Rl30<3HfK`gP@ zD;SY~`q`a0Kf64pCEMCrsk7W4iu_dj_U}?@V1c3%#S$1y)T+c^#ocR3pKA5uabqX& z#MN!Cppt1DrMfyPyY*1XrXInMIdS+Z?zj26)9h7kTvA zB4@7v8ABVL^Bq2uJ|apk0zx$&7jGuSewbUQ{LUK!fvEgyo2aUA!;DCIo+zgU`gOL| zo%vnEDr=)2#)?-PQKH)GS-Y3W2GrhzH?tUq6+o9L*T9_Qk;e?7C>MPS_)x%Oy@|ns zGwY^?bu8s*b(TLW|G*`+|aNy1U919BG)20*- zxkR~7ID`S8dk(u!%2APZLsBX6WG&1zA?df>gMZ)N;+(UL?S&e>|TU{YLWV>{d3-Pvr#-cO{R+Icy2T83gK+ClQAh+RP#+Gm6mLf%O;DTyQhYBsg z5bbP@+dK}Q$dLRnt3Hx|4}ZsSw~XjIRUc&gTPXP7*T4NULEvxU@b4Dm|FVx${VBQ` z&?O4*Xv&n<-wGJN?)v5H1>)>8wXePwihmJNdnHo9l^v%2ALpwFGJN$cGn?Vwu4zBrWF%5NMKqO=ywUQVlIGL~h=HfgWq#rW5Ocj8Hy6+ zq<^*#V_6W2UOm~-Syrf!_9daWV_M$lgr>Z_TJ6-nzefj0T#)Iss^a&?CjsT#zK7hr zIuU&WLx6TE*)(_y7J(}|#5a9rJ$x}qOh8-6^mR|9lhctX`1?rU004;DT2JYi_+*wrWCePVa6C{@%{HWt=CPp*G zoc)KhoerRD@GhBGZQpI8#5u02vg-QAg}=%`{nI3~pjgi6hjPWCD~LRTqV@d=Qo9oc z%w&I>^dqxg^F&ztE%Qd+r4nEE5H^@1a+SJRD0fXu9&phXxd)-vUX7`D#{;g;jvfT( zCwDAVQ?AZ=9spOSMjS{|1jcKOm#n5^ryH?WG%MXH`ofQLL*xWH69qay7&qLd zn&XuoK{-NZI(J*p$T0YYn?WUktRz2owvio=F@tzp6HzfX#>zg%N170RV(;~DH+bZ? zU2$uep|)7v<^@_fWuQO3R~Pi$&T36feUlEC{@DEx;WXv0)MrSfXi^Ac4}Hi-ihYKT z_!vY@%~nj-G|>{@P=q(dNQNdJ&d(TCmQ^PX?#)SXxwwEGZtU-cd*B5fseA4+lp@@q zXrvY?6V7B7xT`ys(QdI8eKB;X4QgwFEWj2w{ki0qR!5 zc&#Pf(pV_7OguF{zRllcJLrQ8C-g0AfvsC%y^fuaQjN=L^YH-*qjL&7cNrW=Z&2>K zr7YymUBVrrhr2F#>tH;;k(E)#pxnYr>8ci!jzE&&bCFAu`-&8Rwe28YUS7aoX4pQp z6bQdUl+vfhQ??$zm$#6MFB05eurbfH5BkceoptNFCa=ljP4ow~a}0S92TAmkyQJ(& zFylI0Za5;0d;x#r2SK{s!c7iuxWZ;2ChU797JdEn=s;y5#T(m5s>L6z)SfELc!V~o zT845g#AWRfSJOfyqQnz;BLEG&o4v?TZcZ(>mrYVJ& z6V4R-MDKR{sL!Jz5G}Yo(Swvr)WhN71IP;Ai~?7A3(xfW%rcC!4~=70jkz3i_}pD7 zX^i@yaUW~*8OHPwC34$x*S0+YfE(Zgumy*&>xY%>mxiL{Jqk9^O$oH<*_nA!Ep~Hz zbW~;INT{3-mrs-Ns}SHT0NleVX;MbdBE7H`P;t=h1#QZL(McFYmsgzq64lm=6e)Z_ z+j&ICy=B^U&Yjlt-2~ahqRtAP7Ic8^7Y938S9Z!zq2ApI!*b%W*Qip&S5=DHaiR3D@w@rGhvmI`IQ>aC`bJ z;{tqbo54H(b^E}f{bx|Z*v{4N9%hOK@_${XN*hOLsd#qd}xGmn2Bwmpe?7f-H&;vPUbo3m6VR zYms=&A?PTMuizbU9tiG41~LU2s%AhKyFwlBA)}&4ifD^;8b5uV;P)kTb>;lRgL0`8 zh_D-nSqvpaZ-N$lc!5hrArQGJx%KpHd_Ed~@}tcKoMt&^Ab$g_bh;R$fq2W~pq~cz z%^`JI4^rs2E>s3=3t_32ou4<+!M`xBAJ50*PC(1oGcS)AEWWT=;h&jpH#luRFMCa$ z+DdNCdIkhcx}bdzv+)_giXn58(jZQ6&-U5iQ!(r+bH3h%(g^1b6M=x;i`2aVFY}Hd zBHOLnqx{3aE}~{C2J*n`G<=8+$pB0W(*gsnF={y3fpoMxnP(p(S2MXU-Zj00NwYtx z!|nC8Tr=nEO5#HhM7v3mJjS|E;ngB}+QzkBH!!u+MpPHz!#`HIYTDSC!VIdW@RE?~ zYjEjtQa{N$3sQNEbB;kR7J#XV;*icEc7{{<42_XRf`9Q+#>sTW*WvZW@28R~lW^Bl~nVwDuf#boaxD z+TB?U6Ot!@VjUt62*c!^)&RzbbI^nl=SjQQ(bCheXS2fADD*Yc@Y`XWBgzo_5r zCWi31*S#5L%KclA1hE7t{{ZftmiX9t23%YoPOHt}TdIO1sZwrmf41#wCr(=GDP7sK zMCn2IcoyS=?2$WfhoT|w4ATSy(pweDO&dCqz4d^g#!(3{Qen_U(WoYfpRbdg7hq2( z`dC&Xs_^!4%pn}lh(&fnKdp6uV|azI$I!sin;AyBqRUF_!^NMIE6XT2waea?Y{4C_ z4=LG|y)_-k_LPHM{Z?|!y>;o_-IJ48E9?H0$ugPI?uYNA&0imbuFHU?7c(cFYieV& zQ>2U&T1*TT02YPeQ)!jksHW=5lECPo8U0>*uw6iaUJ~7Xn-;@hC8|2_-aa4KE zs{vB`m6%Y7ozwT_3rEYPXs*AfJ&!*FicLQwA8hMlZ7@y(qo>BmztH)$%Eikc zHzX~&!-J(ZuqwD!&}c5avh(5f5;0m&vCU#0{Zy2@WE7&@D^7`JaZdg)7>hhSTTzhc zmB$+628);EH5x3CXWCuszrF~5y+&!FG>d*cX~7Kp#j^Y4H4Jvl8nbsRuY)uN=l_+D^g0CAt5DWatFp(K`f#xYWCC zUUS|s>=-6B7S4!&j?ZZRfwFH1OsApb@8K@HdNL=+f$=5v4)x+xLgvafD?hMfB1#Wz=XZ$yB&n0AiqBbIh<@C4I2CsgRdsnv#o{V0od_cQQY!VcDN5l&!F>yd zBRMY0v$w?_9l(QUcG&y-7_AqW4vyfF`$V|kMk`|yX|)S^I_bx=(@6QNA}=2ml)0MS zO884Y^iOdNm%r&HD-S&&rE7yLy;^5~f`-T5AvPY!zD0z^aUrLy1H0ZaQ>-qq5*>?( zig;_x5ZFb*^zbV%Z79?CSyhy08;sV=)w}#cs_3QJWy&*m9$vixygBDF&^E~#%SD^` zpZBtpWPOgvT#8bsYVeW4Saj4vXbs2|gjO9F^B8_kpIcG(ic*PRfvBpn>_~ z={=Pwai_%}&x>A?nYOmCI}%LDRJ1d{+uob?x;2}=Y<$-ObXcxIOB@})ArlyGaf-r|&FJ&hSIz&Yluu0FzL+Bp><=A&T z5>wM9$wa&{<$1tm8LW8cbBdz1?5bepXpE4QV@{MM9oI@X)%z?4A5v9`Ep|5&We?>I z3~N_m9j^KY*`~<_*M;ShhY~LfJ~$^QDAlAG_TW(#!ze1gNgBHw(nO74?&Q6gdFgu} zJueP9@UT!+>2^XZgMZqz{f+BR_o*(1K$ss{3!6_u7GvsPSV&cdqmOknB1d$kXIhGj zx*sZDJo(~@2$Kut=Fn4U1)>wh1LMF#VwAWDcij&yB=U01dfYv{3T9+X-d`{#C?KyO z-t)EJU`rJp=bIy?ix;e^DdSxpPq0w(CY$N z=jOaQpS|Fo6vaMtOBtKLupF=jaA?59(~R=~9>T(o2hg3o75~XSbls4{TgLd&5TzVd zd~p!L5+*|eP~{GysX?;WWC6~VN8$;Bj}hT5W+_(tX&$s!=YE33@A}D598$H*Y6D4N z384P79DBnUtI-Ui1D$ZI1>HTFj%r7u^$+t%1@H?*dc4MRcN24<;!;BN{P7;`rCnLY zjTIpss7#^8Y#eh=mhl$9Q$@v z(~8z2r$m#)>w9= zRo%R7d?B4?_N8xfm+uXpg>7kqoI8-PXcf-FN1;_F_48DX>F9Y3?OT4uuuMQq=8V`~ zMeQvfN@5P*W&04CtTWK+AK_v!acsk(9@e9{KRquc0Rv{(*ii1jNF!laQxh(fXlD7! z*|_h*R~^1#08IvR2z*Aqp^!>?0*pszae|1K0E9D8SZ@XT6`_{I8(5x775{v6e%_M; zkksmNr{a@HmSDOUnFcCxE)2oxVRA7!NF8K2nEyI8e>#&sO{yCLR z&m{llP62zOFz8$$>kjw~qQ#0Va1)bHP-?n@P5!X%bxGu+S$3I}7HgmqdeBF)v#mq} zG~-u|Zv&Rmy4hovImgH=06x_{5z{lq>PEa2hQ5DPr+eUja-Cr#uxy zlng3q@pF7XXRcGw7$bx;JwXG1_)h%+)9Ia@P#O@a8!JhSQsMmx`V?G1j@rU5>JSK63T6LlQ!zmLpG?AHdJ)%oD6 zK`$?TSbeA`Os44}T$MmR7#_eSVfY>A{2MG@){4&tnYiI?-sybFymtZi&9{49Z_MHi zz!re=^$sFX6Db=T64q)ndCuwxCd4Qdy4PzOikZLc5U2g6D5v;Ehq;*#wE$mSc&)eFwm=cB_}SHMKwIG* zwEWDxYFSMO6tu=?YonX1pLS!JaY4O~hxvBxdc;+Rxm5RxXQb5o=`&=SI$ZfYMlRZ{ zq^kYVL*wLB{i>7af==>M7Xt(bk2N4m@zrHz056TwRJ<40ov`R`16`opLBnnp-uak2 z_*yP1hU6~+ZB+>XOve40nOXSQJJHBVBXUR6H9(oTUZS(Qqit3y8}}CZbh~(ld?wrb zft?y7?&3!|53Yyep4Yl=4MJPU4M_ke2CAfM7$AKBZx{X|BSf|Hp23@9chzD{yTh;btN#@zc{_Ps`|p()}{LnrSD$3r@eV6o4?GP?;`LXNF`vGs;9!05R2fL zdG;|wbg!txRg2tA^~tGs#%*Fl7t94*T1-v2U*0gRyT~6Q9(JcdM*j_BF|itHi*xRH zB0fVNV$I;)Nt+fQ9@?-rBaNg0DxLl2h!#UXC^fzs!hrW(s*cYMJlndIEoaiP++e1* zlrA6daHcC|W@TB4l`Nu9<8awdq8HHXHIxh?pNp`>%6BY;o7|l)ZKu)5>o>t2-5v6~ zV(zh{`ZQ!O=M#(~F}tj`>>_L4+b|n8t#JsGpPus}GvL{w5zq>+wtJXTMz_01^_d?Y z5sKcgxTqHOJoJd}9=-iFS~$Ik^94odDO)|?3=OkoxVX^Nwl#qTpM;6%h^Iuf3gf6+ zP6xzkRi;d;il6ko9eOdACVBT_k7?|oO$S(dlm|2BC zPzubhn`gG6rdQ?o;u0#or?p4mn&TNp=<4MQCg_#`kS46SLhCLuom7NydxAngGs7O{ zLBegZ{WiQcne&&jYvsAxcZw4`uQj8YK_`w$qD^6n0@1~4?J7)xrdFM%0b{5WqN8*e>Sw~Jk+@t+FU&NVfS5m9Hh5(=QG5J8kLmzu9$nkrUaWN|}r8rLI4)O5}g> zAYOg~wfI3{DpCpRoxMO*8kL2D=Ji*Ck|d@WPZbO83ehutHbiE6HgFriEHNGP&G zfdMbNMht6WMNIM71B!o@1y47DRy-rnlW$Q!5QS0&$}fVW#lL@Z&mS#4wQSk@thbh+ zWKtgF6LMXvlj}?R8#V(w70L}THF>NkuDpoO%(HEW=0@K5+@p`!y>lM0US8w`y1$>=V zrJ*g~&I^>FpiD8t2D9Z|8ZjM-%f@#J93@J>JdL?SbrX5(`#4LSa=6jo)N%eC!1&t67^s>tIcTj{loyrh6|aK6$c_M)z*S&I&{V|=#|bzSR+xJ#6|cyjw&#de4~{+{ou9|;!aY6+#8r9iLFirT(94H~A(g^wc3 z)@cs#YD@ul()yfm{UkDX#4htbDtM}-TqLA`!3Zq@?_H~qAV%1 zk%cWph0PT)U2oSt)<3u{-Z9V?!s(jlY5nCAPYCD~#SIYUYtmbk(-0-R|Csgj((VbU zoBZTF|Af#)3726Chqc5-_1F|?x+@{CZ-%IGudQaCm0WV(GR68XF?2zh;lnnp9yf^^ zn9^zvj~$_>Tg4W~j+y>dv3xq`DkM&CfX|p~oeoj7c0YW8m1`hqt%EBMz8=2Iyo_B< zIo9}G>C-C4JJ-=HF6earauP`htDf}`B}v7{D~XFgWWXZYG50&pzp% zz3#j1w)R?kt-%i_HABrgzwaBPk3M=QgNS}-n5*&G(hM+U1eB=){N zPEhYwc|F8_VDsOwGE4rTaKjvSZVe}lPz_T= zf!aTKqSM#$T8(8dnRIDpC7ZAs^ ztD2#YF>s;Jgeku7uEXRBk&Xig$eg$cE;9{CNKk^*ysr+DNErKV4gXGTx#p0)RnMB%0xft#_cgy(sjJ8iEa%si|znoPDeo~B(dS&`z$wF(@XEv=S6 zjXl#Jz_^O=-D#oGvcJgr|ID0l4>cD?uupY>b@JD3peRU^j)qdgc2vWFf(q>Cm+U|O zaVlB>EQGKF{%h!U9c*W*&FnYm-O07I@qg^?(cX5vpcw}czXA?~GrU5x>+hiapWQr# zoxJy7wwG??&bJLmOV`r_k-h{Qp+%VU&Vsu6pC1D8EIcz0>to-gsK4_!V3p+n;eoOP zG*0)7W6^pL#tiL-dN!-p`0d8}Xn2cdT0H#);p=2Omnau4-eIop_#aqFAoFnZn_444 zROW2oQqr8RJgP4&f*e+0bnOcoajT@~fujkZTqM(sPFdoe3a{Kd* zfEC{6hi(u;#0Yx6KMRa-^|&$HaI7-b`B>jGZ1r&sAzyr}!_hVeB)9NsPZ8y}^(c6) zX?O=U#%BToIxrfAhe?>;;fk+s7RitfTKkG99VB`5oR5t&(DR#EpA|z%S$adsJ`@bI z`VC^lj&;aKZth1H)V0CC)Q6zx?Kr*6lIb(IwdH%GdmN)b2Idvf<59X6xw)F_F=V-I zlixtkZ=#A=BDX659Hgh|>_HQeW3jP@t=NOF!?k!xx)I5GI5km$atvDOKGfQ>Oa)r( zJJZ!JEN4JBl~>)_c=#*(F{Z2Ik$q=;1s^MTPQcssMv`D!bAO-!*St1=WqF9vMFoUu_^Ty(fV`wS&YTSnQitv83>gx{4ssUiY9| z;kDx9OFF8w#!f(Qa-(k{JxtMBE+v(9cY{%OtNC~FQ;sETUPP%F4j>XKK%-+>b{g@i~A)q?v^W%GVH{w`kuM~WlGq(5p z+9@}6JBnNQzVo?uA8d-1!z>#Uwo`j@3vY~WUAlnP7>(HO~c0XgD+D>f^TW1zj-Cu(tUg5ga7ztjti`NiPAH>_fj=v z%FJP@Vz>SC$I4CmEah1Dm8flZr}%WrUB#i26KI3x(XQK-i0^}G46a8Nci79{AdOIM zT8ib2SGk7!K_d$miJV?CV?NtVE=jzlDh+u#X9~9Vq}dut%~@y z)jkl;F`I`xZfNf|swfGr@V$E8yksFN?Mt{ESN6$jsW8|!Q9Gtd7|V+tHl^$!$M6DG zF>>lrv%8U7z)BtId0gZr_{z4JVUH`#NaC511ow^=D2j4gRwdUypSNZLc^5$&J>9Lb zy+0v=kLVfM5iGPXxT475@~v@d8WD(7k+NdX7G01b(;+BfbFSgJLp24;|DP$#e`9{Z z{)(0lB>Xz5gV&R9qpE+EWJ^D`ek9shV{&e@SF%Q#zuO~tN`}JHbNb#9-JQ-T3uk;~ zbqB3l@jSza*EHyWD;sPVoVsCi3l;_^aXa>TZlH~ywMX)LgvugG8TT3J9{*F&AwYtA7@(7ejei%UJ zQJaT51jgMd{x!>nUiLqCCvDrP!93$Q#keGj&B2H?iwQ{|K-rhJN zKwF_+q9-doY0avU1tB?Ggl`SR$t6}lK058ykFLAmtvt3j*ZJBT>m3=ywMJyZol9jn{c$+;MwcoJov`%4nu2&T zzW8ffH3%#51WD5Wl6*#9AxE*$#3-$S&S-SaI$a?mZnRMkkB2Mpm~Lk$KsTcNld_u6 zFBx)Nfd8#q2|ao<3$&+hm6~?p|KSm_osG}}o&vqw)-<5rdTE7?>oMAt2oQ@Y0z&-; zFeXo9^Y*U^*v}B}z0W7lrgA3+fF0tF+2j1KqOOM^CPvjwA0n-h_1%`f;|ly)j{8T;m*oG~olixz?Y?&UV_+E~OoHJ^Q9+Hrd_*{h=1`gS~Fgf>e zR>njr-h{lkp~@Nc?odu-W)hr{ecMj})}<_OjDYt&!>CNV8EX;>-&`m zdRYVQc6A?3-fy%rVqbW0Sq`>N>({%-1$mwTw$SJIOUl%BH4(7zi-&co0*V7b^;{C2 zXNEN2><@6;iWYh{z0vR`Rx@hlg`zw@;xSLk+cnXA(GpM~nP~G~x85`FOzCue)lqn@ zCNSZ`h~c)5!F)(?k4F}Z{Y%>m0qq}9o?V0TLNa%7sy)BxO~Ul4il;UYCj&wO?h_l( z7tn%qy!JWBzEr*?&sl-X{{V9Fuf{sqfh@s4jCG9uD`OqIWJOM&)Z4;pOvHP=zDAi; z$)V%gzRtiKQ8ZA_O!}?mpxKbrkcGZcm_{e?;nwsJAK=f>erBZp$;%<^$;zb$iVEo% zfw8K6_0j=WmRTdZ%fN_A=KJ51HZ|guQlRZ3>&A5td!OAIzoT^g2b2q zH>gr}02^#=xZ#~Kj|SX}o||59niBW{cy%A?cev0NGEq_m!grIc2D2{*S($n@U&5&0TUibF{;+Q`@tj1YHb zp0&|fp7rairXLM~yW1arVEJ=ne9kM;b}qW|*y6Z9k@5c&asCk%|F;{lpU2g)w~t^t zN-h`gnQgDSvPY=?)YiZP8XuPH;ldarH0=hQB|q0VTIp%9LyWWX?w3;sMF1TxUKqDy zK-%!Jq+2ytSW(23{#kIzL`ns>$!seSpLMSZP8~N?fVDIQ_ohy%vWOB{{gGdI-`(fn z2*hEE0A0lPz^hG}rVDEQ8-DpLxqmY%@h8x_q9b4#9$(VfVh37{3wmh?7`=pqgak!j zH#SBm(W9ya`!aQ(yKyIgIIWC)3rkoEu5_{eEMnIw>{Al&RSklAWm)PtmIvJMo;V;^ za!*co!XwR{cXIUYj_tN_WhN`W@_xL~jONQpEy4do{SNR-sh>}wFfwNIDsp?MHB-lg zgH8us4_`Mz?tag%1$T{yW`q20zJ&PyO0FY`{O(NiP0@i0KtHuL(h96ul$Sb7mQjvwIFDc$Q~Ky>~Aa4F0is6{IZ?R`nnPe*>fqS9;pB_(N5Ja^M~6?d6>Tl-6}X137b3XNGC`(oToMS=PiOd3fFXW*h?0y2Ys)>CMHx zo$3X!2Q}2d=i>ob%##}hMy7@xhmDK&NtM%KpvtBJw+JB6p;*Ht5Eii?Aw1iks0 znJ;tg-Q&T9O@E0>u(?dd2@AG7z~-P)-iM?wt`=6^Lcxjg02 zkhx3o<@xsR>(4m-syZUY7p{W&Za{nqZzH8*8KPUa0T+9SWFun3L{76QU^mcn z%DAY>gU|ln#h%~?ud+^N*_nw9MQvKujdqWAGU-D=`~iw0L`#+Xk|Ct};q<=B8QlyH zRrbttRa|GrVgB(?2kkX@?cL4#Q7$nNPny zq5Vd>Pl}nX)Z2`0x7|>wX2}b~aSuu5Ec95pU-%AC9gdzeCyh&90|Mse>tq;Hq+{=@ z&z63KU_G3`SFWuk2K7Ur@N}nlT0Vi+E&ds&6K#Bi441#wOk|P|>#mAae{3kcItqI0 z9Cq861RY+siY|L1e4YJdhAmFjwL(;7_i^&OS7D3!SNlJ<-xd)k_#|q}W@}>nCM2o= z$h1oid&ASECt3SYHY=~}K-k#$e!*_CeoY5350u<(-Yicm-_F?pGr}x@x4F)vE8~{V z7Chpl2whZhf809vVBEppJnlD$svyrwxNmZYRH{)AawJvo@<+dRe*DFx3AbGQWdLFs z#fpBi2@kq7?XOzu8K8xbPrL0#81pgSFN3BC3*B~}7(3w%Kf7@1Rp;h+iEB%&T&|UU zpZ@SS=vEu`m87R8;E^ZhawY9K_p7hbDCvCU<-mJJ&PIDC)0W+e?2bw`#XU>FgmL6>_S1JY z(NziaVYl@K4Xv8%N;`lQaZ3(J6T|fiY$OaCcwQ4&Ob0f_>@9TQ4YWF&$FULImEj0EeU+aWCMea&_tw3O`1g7z!Xsee_X89?0xtQB?JYLq!8ihC>N2ztec!JXr;@)N>n&;DE$ z#ZsW`70hFd4+>P}c2*tjd2Vl%ZV%DDf_V*U4V{Nh97c0`W*>81G5E?M;9bkmB@UDe zQh7Y0jhchCMI*OXgUWemmq=?$`qA?giXo=>&<9@f!qgfR@99dlYo>j6y5^_m5 z7f>hB>x6JKjjC9dd$4FIwa{^!{ubjIXL2&%uCevrs~nCjGkfQV@0cf?5d_YIdFlP1 zcIn>A^rH1qJ=Y&A;g&*l){U3$xtHU?ZOT*$2lENVhR=KNC(yf_k$iT2H4J+5>OS6W zsh+t#6*ueb`%At+%n)eh>Al5F*$bzYXt#a#nj?8@idI9yynpxYQT{VHYPR#la5%q` zs>D?~I~GQ_vj_zS2r1b4Pkk zo3qbOGgr%i+n?Lj-S1#p@mM^ z;a}}T%;SXf?lwwQFp~$sY~Ty)-C&Xq=5KH&ETLx%j0#Pn|2EI#3lHZ6{Vy-=aPvpA zd6q1Oq!HiHdPCffPk4W=3|H_8Ul(?eJlQZ^4B8lvC69JHb{D$6xH#DIvcO}1!GJM? z`U{^G4dKU9wP!LH@5BZKKUVf>EpdOru7+ZT&rq%ab;lw5H>mK7Et9whZ}|@|#{qBv zgKBUGo-Yp4G#tzB8MyrbsgKfLGd5jeY-MIyLe0tSC-krC-(%NaxKEb^dhb>wV8mYf zOSARdG-SQD7hL@#U{k?rV15!KBDLo!@vUOj!9kGWhx^j&E4gYGGuJ(~?iin}H(D!; zo#--y>u5NDNz!3RkiYs&7x(+U;Squus<8*FH}gU~H)8nGVn5n%rM@P7R}?+P*4bx& z9%8u>i*p?bvwQ+YWuODf-uiL2w@k}Ja~33KXJ^x*)VVyK2eMk|Yqjp1Cw&WP;hou4 zq0${sZF98R%oOYQ{*kdUQc_h}&3iFD8m;hPm zc+o1N@KjTRA~(LM-m<7?e93fMzq<+tyWy)46^?tuKIdH}?=_I~6u1m4dMPC6};2f4e4lQxaStF@wYt44W zpPwA|LS8`n#> z-whv0UiheZ;zrEss2M2ai9$Gi)sano%PZyZ%ou{@8he4T3VTT&oaQxu4mgcBpurI8$^i?I_{vDc+y;3dnHi*Qh(9>ZSM6? zC;ssU=FqWynV})j6w2lonX}LbC>Sf~OV~V91);KCUvRM{qVljhnrmX${ZOMAnOZ;+ zIFJN78^iBs1P$YxUT?nHyqYm_&Et*L|`G=)VV~umu^bcs?3}jPf+!XAkTJrin z^|82DX8g?r%<*KYr^lQ0B}*;xYs&5A&oMleN5_JdTK7A@PCppiUwbgHR(Dw{FyDMS z5Q#C{ie*7ZT=iv%&g{=gL@Q&4epE8G#dza90$6;BYT=4 zw~?@LEpd$v{Jw&MddVTtKsvr!?$qI%gx0>^LCW%?io7ZE>wVCAp?)xfulN*%9Gzh* zl|?b}m|%EtX=z|5!{Y7MAGdN8xRqb`W%fCVZ6cm-+aYac#ct=+C>vZhZH^x|Ts`*X zpAf(ZY{KY;)n|N%)!;E54 zm94%toWCHCg&hsd4f0rC5HXqG{QNFYK~sJ%J}@RM2Tx|lZCE&x=)0x*ms|7G>_D=xl_^m0AE!ryjJy$)SutA zM8^G|eTF`y{)z}&)vGyu6Wa$11Nzkn(Pd^^j3Y1_wRgWXi}O=6cN0&N6>h$IH>@%x z&B3JigXo(@DOd%ah$Y6q()Y|$O1$5O%roqfx0HEPSKrX^CEhsb>RYb9(h0qi;d?`> zLl!Qi`SwZQc#P^J$A}JAd#`%B-H5^V_BH~E46C$6Jf{?a8t3sZ$oUGJVr4r`8E79l z;HgLcr+|w8cbb_)McUVL=?H2m|=12e}U_(=KF_TQ&UgZH~W}Eq;j~?5% z;T-0VmuP%0pnQ%5(Vf z$u(DY5r8u}Vlwojpg))agJY8aXubOaC^@q){>^%q><{Z*)@L_%yq__kNMqG;Uv|YG z+_zm2Rk(M{hd{Ler|Q+<&(9J^^ei6<+JiWz{O7B0Xi{fau$pBOyDb|n2vHS?E_Rt2KX!MTv`@3G@rBOQhw2WS&jZIg5_GN+Y2R6p>XCMI@6 zzMD4eA6HdiXOdflLN^eXp0@WV_k412zFfVSUa9?fM?UL?*#ov$rL^d9eovB22BzGS zm-{_QGhYM$*1gtX=HpakYJ5l&-RNU@$6!1!hm?E|c+mlZtN`N70F6YEoHGgq)3RvL3mc!3fwTo5|rqB^^dWI(AVqHjq5Bh zYoHrKrfm|wNjK+a4^}fa=DB5mHQe(@?}Z?6%N;fz}-vxi@F%w(u#*)d9-UT zsjpr$0hI>`z;&1(2nICRzMV(k6x30#mCjx+3B;~-kiULMh~el>T)w_Hmul^kOx&6V zM(FWr%dO0pGHFip(u)J*v~-h7akZz=BK&veKCJX?_MxOO z8%G+yui1Ga8z^>B-~vJ9p|6&U4r_q+sO>~2%Shb4*?YU9kzOolVq1P* z*(xWA&gQ)W@??{_s{aJdQ<#Ss(EpOqqd9Liz2=p8L&?!Lx5w#TST%=BIe)~v`{oH` zH_P9u+ekIL@z{8eN4kL*t~P}RmdX7YXgkZ=Z4IVQT+tz)Q(Pir>xXN;CiJ&1sZlGH zQ6>=*k~HB(xV+cMlrSemU7$0!!9m%L*+Ctgo^*VNEkYsoI~0Qe-!}M%P=ZC$^FXaU zOT0kh>kUOfwT3cGZ*4!<7lH&IH39XgJF^ndTj;t?43-idN}aeiRJ_o#8&A(JdYvmA zs7HDzx$1t#r?bj;h9BYmL|vrK_RI6?zeEESG=Suc1cBQRuG6hLwnY%CHzV51nA*iugol+81vD%!!Z8JM=#FQgY_~~3uA{zgwU8EY>UuYCHlu#w&u$-;G&(T8YGd~ z{tY=+BGW0F&HgJF_B-KGt!;I8B~O;eR`!|ZGd^S{%Gyq~NI+;0T4I3~mSn743$jhX zmN1MP(3pbAZUpVd{H> z6Ag_v0G7zb@YmJx&g(%K+G2J}@X8cA^4K|WCO*7cL7BY}c3fmu*N1Zd2HAtjfG#P9 zkpW4<$1PWSWu=aFk%KVNT}xequY6I1Oo#%P#LmhU`4qNbBM+z|+`fwNh3!kwby^4B z_jxt@txWB0&1vqW1-bj9_zj;7-_~oYj!L$kP;Tt* zcV&z-*`%O^S4MmUc1q-Ptywrv7ns_jCL8r6qE$f_JNRSE?IVq$y1?@RT}ff?!s~9= z*C##=I@YY6dvOuRomprf{>yhc&bLT@$3;guQP;*3ilI(XpPAlZO4&Q4 z+?6~vdVAuqx_!so+D%`Nm+bzlM_ts73`Gz4l$55<-^*zsz?eHeSK$7MhNQhFHxSm*P?(kJC1MKxb1JElMXwC@-E7qQ zwIjpQiV1)b-)&0>Eyo4WK6MxG zMfS4D%?s9N-hI|HD#`znM32*%S>VH2&|)faPjF5qGkMmx+O{Ug{UUElQ0u>CVwb!(Tt$h@=5_q%7p3;ky6A zGLnIlPTat^91yd0uDMr3WMEPlnKaBrE4D+d4AiXt-FNtB|N3uLc!1&?!x9;wOk-+P zjRc4O*r}QMIker}@Fi^PQDJxxN69%J?!yKKcWANcA_=Mh@#|Osft71Ykkh2IrpWj1 z3zP26#P8*O`dBnR{`V@Y8tHVJ3{~wKKQ_U`%^BUf&bDqP@gG0J4kn-?kHCxZMFlXAraoR@HNY z$=4e1h0U|V{;z-3pM0UG3S$ghfo@CMX$tQ$cIB?F^FpifZ;(1IRv0c1Tt4s>hLs<} z=ICbDHLuRFP&mitAbn$hzt*73yX9g&=l32t{*D^qx;BLki37Jd`Z6X zigvN)x-9$BWBJT}9GFsC#-#MWG2zuo&vv}{(SqU2hiB~h!YMWI8SGytWsi?E4Pu06 z;B~NiL0Apuq}nTX=Y5`I=C0N5nWS%P%{&ue0I&C~H9t=aSfBAQ)b~{KT+hQ*>i^~x zl-au)+$Z;etvHEG&BUT>GMt-N_FuC$8ol9#*fd zW(#1AV&EcsV=n7#qx!8JhIqankwSwQuk>W>k&UUc1H~L~e4-wBUuemiI6izRHbK1S zX;9QWsoermZoV$Y3Thyi_EC|w@X)77x8?pfl9Togo_WCny|+kcR_P-owCNHat!6H8 zSeu#If6WV5os~VoP%EMQXUb`qIg}^F?G*#dQ>vFn`Sba3gAEH^iM?-kwICGt>MnDN z8fwnCfiCgvE%H8a^h+l6N!7unNe6s0wA$ybKu#wA%E3Iro{$KO7bn}NP1ImBv#?hM zhf4pQL@OcW!1jK$AH?^eW_Sl*;PjI@_NJyL#lrmR-oTY)RW1HHY2Q!#utHF2kw%h% zOIgWz@IHp>3KcXX&&d7ZTtMu8OS%uB(Sg-4#9Z8YC{mYX931vYQHJdXu+|w~n{c}r zjw_voAx&t6v-T&mWUq^SVMszitiA*1yPlC91dND6tQcuJl8$(BC{j&)PFk{ximn4J z?b-syU+g~3Zg)OZ9~`>Q0t#;Q*wHMBHspGMUAfT7i5=H;mV$~*!3QP&n#W&h=yU9^ za-I>r7S?3G$vfFvT`b2jgC)f-o8EztzVIyI7k|QNH0^6vtWmOVxVAhv85tg9Jj}<+ z=7awpa8ML4edf+9S|=fHDV24LRAigZG%3d3)QV6HcPEVWPko8qI_d`zSiTM_uZDYEJY4>s?p z8L?v>GdVN5PM_OvI>pC4q3HQ0^R&OJPZKzcRiA=K*V^6Y#;JN{oh~W+_ivmEm%mm{ z%YJYY$`*d;^T^$s_Ee}39`55k4!5Uvc z>bVwnQuprYg*2)>C&<|{YjWWf2y)k(V7*lzSjZefCf^vKk@b2lS!WI|%Va zV#1FxrLFqXa%!MJI@drKhzdY6jU9x3&;1RO{T6eS>HvF?-9&!ugXBh8q60Qfpxrb^ z?j;4^Wqs>bjBReW2Jq`_zLa72Tr_5KHuM29x|ERobgL)cjjB7Q$3W8VYjRy+RyWmV zfogFGHRH}C%P3Mo8mIa5a(x^;m5-s0h-#c5TKb%rHSDTA)3a1ZsPo4FE5nW(Ssl%~ zyeX^-5loR=~TI%?L1CV$dlY>(NN;M1m$k`_^v4mLca% ze13>!bCZwdT3j0^el#K?D(BtjTY1zoo3!eK&oWjnPk?kUuoOFy?!EdOWczjvJX?^i zmfz$hP!!f#+qfI+xHaVR5I`x(lZ zokw#eRTjKN49dy(9wrYH-J=-WP~$h=d#!f2#Y|=70pIgqmG3jSG1Ow)`AgId`B)aj z&&%0TswdhShDN$v?rC}=!pd>y(u`slx~=9p`WH?5Pc$#{I* z^ZPQ9cqp`2 zrWMlIn#gubM$F03y&6_(i#esqv&0txp&)&E2mTYpjl=Or zGp?#ryORk&w${vjs6WQjJ>cUUVfnT#XKqfyQUcouy^tQ8$D_NyK@t48Ws6VT_~hrRI~|z2 zTEhg5-f+Afc!}>d*|rvHZxWAG9RN(C{JLdNdW=VRRDnjE(QH?0H<(^cSpLgNDRECC=!*58DfT%k@@}<88iDh#tNH z_yIY4iD7IK3bKMQJu2Hgp}-FK@m%MhGwY$4^;Mb^_>3R*!Yq?HlW#W3@S4iy`$fr; zd+(K)xEL%&lW=Te#Y|)kMlAndS_%LCIsHAkhCKsnfXe5KLx+nOKNgldrU{tZ0h?Jv7(6WE4Z!0k+7e)`b^q)|7aNp}&L(wfG@a$R7Ksh0(jqwgcGn{HiW~*lr?N*p;zU;HAl9IaNEGm8%`sa*7tp zz0a9Skorn-I#eOVk`DD*Ce?h&f6pw|1~)B4p_uId?xs-O0>0>K)^vWAJi|a9OKIE$ z&Br2~zakr!*D29im-d>vGX>U_4h~FhwS%jMso49jxB-3MsuYob4j7EyH7{p{Ap3rV_(X@}%bKC4xDX=jXgUeH@Or~|`S~@rp`@0GDt?O9&!BFQILOD9 zD;g%S=WCd{uY-DSUUa$!&CqBVU#>R13+9il@5nsIR9-Dym~LwxBl!bi z+E-vQznTKRu#Dd0z7Ck{I0^A(%X`W)FFJqKa#67@q>2XfWFfDAcK@ruar{M7rESZ2 zxSK|_ZLd_FjZyH3L-N*^N`flns5iT)z;8RaQzfDKqQU!@sA_}V>X?nA*1t*||9vF< zvuMn}?m$e0cl(_($URFE7$E>Vkk%cb^52$Mg>CUgN`DnrgSl|^4A9F(l*A?A$bZsS z6Y$?E@&8ANL1nxm~qG-)NZkutb@hc|E} zsB^E*RcB@qGVsx4b#;Ap90rqHS$)x}!CzbB#Th@gXK6WP`Px}+C%x{@-`hX`tpEPE z#C_;r@t^r)mGQa-o`4>+(H`kvslz`Uw;3YSr`0q`dz`3S3`~}fom|<5+!Lfonub`i z(0yJL4&>&w73Hx(Fzc#?yN(}Na5ST!ByCT#BoUVEw&4$Q(&-BAOJv))a?|hh-WaJb zVcn=S^tOIYxzb<2>E}AHFA_NMZw|A#$BqlQn?e`?(+gM9JF}HL%;;>;~>7*hWE9x>wtH$d7FZN$jW32?Q%qa(Cu8H zW)*!8Jq|!F-@i_;ClBoqp283oct-ZgexSW={i~@s?}&)$op^zJRcil}VTk_YS7$?n z2~jT!n%h?6PJ#fhQs|YT-`6aDa|SEA?u zOFZ09Wz+?FiBaXyx3P5Bsj!V4pqN{NY*Iu+r2@rc$vt%pX=zaL1{YawB_TvyQItvH z6Je;^HQX;^GM+ZPJ6733mDQa6ih)`>5_+y61rzyPe@*j5L9^CJIFT}_zf`6 z_G%sVcZug0FGmMpU;1lDTbWBd9f12yWH+T=r(s#)o$CQu;weg1M0($?$u!Ow4!+#M z*MZUutgX19vE>nn=Qh7~?vC8T9?TX_fRVh;gT4Wb)Orwl(JaALovc3R(JB{twz1XY zqy-PcS%|`Tc%D7B@wt7YfV+D4M$vJAnMF3@>3ATm({gWO;%2AC&747dmW}Gw`2>RZ zPP*!toratM01Jw*Z)^cfSrlFFXf$^BFwRIqeS{v*ZtYE1>%@cth%?@9V`Da|3;9^A zH-Q`FQ2C%XP`WLsrnFCelGs*fx`Pk9KCl7qgHmB+(PD_{hf@{e6-GY*x>tXGoEI|K!LwHP+ zLbL9uVH*PS3M*u7i@}u?Nz@6}Oz%MrUeb0$8zd`St|)Cx>vgMwe=akQ%8e5hbkg$= zYVCA9v1@4gf{aQ`_TIOK;K!nt$TIVvrhvK!LQnGpL%B%b z_Biq38o0&I!B&U*`pY?2q$2k&eWl^6w5B<&6G{{p6 z?&LN>SQh3h=HH;n`(QLbP&>J}6I-TH?eiRrK%6X`U?V_4+;0hxLIyv+H!=xY`urb{ zo_9EP#4<~Wk(Wcs0oJtsP=sL#(813I)=PPXDu!-uuGg$zQ{ezP2U-Usg*&njXE8`{Y4#8A=vf*U;F>J?|UAH z7V!Av{019E=mpwLAh|tg)@h-n*y*tlk;~a~&M?ogY#GmASmIg4X*azY+IC}9$>2*D ziC_W0o^a6hMh*SyK+S??afNxHMVpc8URD42veovlfk#$TZAz6e^KUvkk}3Hi4UKNl z9zF+aOTv~R4nZ$szT7Nk4jJ9%Q(f1iSKa@n*9?sHza~PVcwGnGS@JalL@0iP{tFcf zoo&+#T1_DS1ym?(02PYP?mwH^{&iZRr7!cI-g%=k%aJ3{_KQZJ!o+BJLKBy7fL%mi zRVV3<*&yrb%>%=kB3jMGnT2#Fgd8~_jEdavC1^_QUpn8bwWqaXKeUWDXC5w*#``5b z^usm?C&}zxS@H)M?Pa5fxfs8)hwsC3tZA-vWzs>vNYI{l#{idP?g?vG{^uo8*VK%oKtPwo8KU_rM4dL z42_i9&Cdh{Eevv>jOpsTRMWo(9X_H`AV?Z_or7BlEqU}@rl5dYOOJrFVUzu;_1j<7 z``A`vulVhCcRt#1mH7Pe*;aC*@1}Lx7)q-?2rYVI#H!@5aUN;3pvK$UC7Hi$|M|ro zk}^woUGBFlnyYrsLuZ;w-WlK|C<)Z!Bx;=w%VL{N*+yR2)XXT30AAGGw#cqm4f8eLSigDbcXv`= zpZ6uuq0^YK8n)v(`zFHdrVE83PM7bE{M+6E&uxupWDa$jf1dQcC*DR`0TYYOGDZ+t zUbBoY>%|x7Yuwm*VY2?d@hw)n^FnenDfLckXV*oDRdyC!>bxfJ4SWf=lSKes1%yHe z=qI*_GmS6vl|Oy#Z=BlNN~e1*-4nkMc(Zut#t&^Zf{o8{I0`s<8419y)qTLJ%zR1F zHHfj_png9dbns>woNUonaxTs&a_35+H+8=$?zd>{I@umV@(W)LIQN=$V zF@Gz*uyRp1B|`6S!-E0cI|$wCk^$x+;`k)AQYg>be!D$5$BRR6$xsROj+}ax;nU!j z)67QchkwYr{vql9-zv-hk*r@UW+h?R7O;gO`=^((^S^?i$vokY%>EA?`afUNU-GRw z0Puctk$NdQZifw|p>w8lj1h&Gw>TQa)!J(`j(!}`1!)1#QPXl>p4zj3n9KsqZ1(h_^ z9w2*+&vsodULkLwv1M#>zx2qkvi{2bqxYS`u)lewruS{?i0c}jh4xj&f@!caHo}Ld zlz?4j1*7Bn?dnJNIfGpy%iSe+YM5w9np+d~iPi6o={~6nh1J9RtAZhfa~(`*%3jC9 zx3XuCehG)M#RrYjMW{rmQDjNFKFiNx#-Wp+_~ueuGPWP||FHMoVNqq-`fwp2K_y8} zr9{a&2uKM?773COQ4o+Ul4B_dNKOI@l0h;^&LCMpa#C^zfr2WKvVf}ccd%!?Jw4q$ z({ty3-#qvBUp!RRIeVYI*I9docfD&O=C2!pvnzWUlhY!K%3kt|Zi{s4w1S@fT;Rk= zO=M$3s9OybWz!pGs;1j)Y`DbtKRD3&Tr_K&U6U6Q_NkXmgUM*uTNB2GC{sY)c7`ix zATDd-%_)oO*zDQaT>129UG>ZW8=vr6@BQj-qW5jZoN^p@3b!+F14*fKh>#Vx;K(<= zS_lH|rqNF(3;RRZMI!^{ul=EUV z8Pp2p(V69(Zyau71mM4_f9)y|-fpE^KCO!C2*R)4e z6S*HIrPPLh)Ohy!N=m<#lDzxP(#QmJ!9Ha%oyduZrE40b&lfH>xge~&Y3|A*uy5Qn z{9)!sjyD8n63JM4m?`F1<*Ieh2QdkIWhJohguNchZMqEXDL$sKi6Kia!x&ZV#$#vL zsa1{1p%KY?`t((*Ob_d%k_F1y5To}vfp}vGN(IDTZlOMvafZrrZXawX#R??Ryrhu4 ze`}jkh+C0XvUfV$d3E)`_;yxyzK@dkR2$HRMjH7Pb$KasaRJY+7Zb`L-C^hDK-Fhb z^{kRMJo5cHiY~dCy7-9r1f77SCgzD`R^%?Gm>_f=;R+?=*GJm9*sWobM_?2zZCG{X zpbUe)=y|*Y!o?aQDpKN?@{KZPOJ&{AP$*%Oh4ac@NOJFJ^>*ExV3TN;bCHO_zI|Lq zL@)S5ABp>_MTGuno|`#W|LsVGS(w-YgJ+5^A|#C8|5MSn1jXE(W;yGDHPAtACsL1w zSG7GK_idI?MFodXTKr1-H0cUKXEe?xzzkuxjGK>g>R`din`SUEY8K7KCG+UK3vqX6}NtP5l3ZQE7jtZMQQu+K0y1hf>2*cE3+v@>r642G`@|@thG2##;e`v$X$TvTq*)f z_n!H<&vNx}eBW07havI90Q)&=>kohUd%o=-zS%#xfV2Q&A#ik6li(X@Rsqnp{C10I z4Zt^KX2k+2$I)fK({JAQC1IMs_iQCV_5(aBc8Cy62LPXL`K6vtrw4xA@ROoGtq(Z+ zSN-rmqhkL)LGZ7PNAPXzpKoYQ?2hy3;Z1jnWEEaY)yw!QKQum-PW5|@W<_L{e!1_^ z{VQ*Y&)O;_bp8bS0co9C5#8Zr2-VDJe?zLBL-{XK!u|s}`@NEx-wdbzgM0qwb$@^x zWDHP05?GBQfEGi$e?vGL9&<8f|E&0)*UkdP!6@l zQ7h$ILfnQM=nPJ6cG%5%j$MJy-wf^^Gal1vIVNW-_IEch;JIo=8UEvuFlK-;?TyAm zu>w3yU!#3B5kStU3=*2C+ zcGG~FY8=h>m7i6;u|U8)lCBOvji)h4Z%E&5S}N|W20PuyhKkTdppeO9$BcC6@N5c# zbP1b(y!TY>(=%sPj!*1WaW@WF3=$!6hHF|kAA_XsMJ%PL(MDNYxfldhLm+Kk?jl!I z)MA4G`_*c6aR2zelLcN9MeU79^>Q?b;|Y_Gh2NW522=TYb)%_x#(eE=KLyZ3`Fy|7 z6Dt1?#-y-oD-O_(d5#JGFDVzmnl$DnLUgfjyyC=euk&2URcC(no+`+8_RToep{(3Q zarRiX&zzJve_~}X8D{}umz?YdRefZ1EyNBSYF6P9iKbbclm6at=xpUZ)s`2=dsyzUx|D6}pkE5Tr6*Df9*OAo*jbYDOB+ z=&1o{^du6jjBliwNf3LTY#6`snzYvVgNLr$HjX)Zy!vd`mz8zo1G_+amX_wlg35Tz z8N+9OBO~)K8t}i_?B`$6qW?%2{{c*_H97^zxtwBR|GwnS*A9r5e*RwacHy+-?Jv3C z|K#%p=lUNiPM3X(c~Pa(BzL0bD>}wWJi_GNZKZ!wTr(OP7ULaQNxP?QrczN*=81U; zgu<-%ox$gZ>ChvqX-QY|bY<0YNs( z7NsrI=@j2v<@rAZFefGw-Ox|l-MBq>nJR*I9apS^jqr=Fzp@JU6k<%%!t15eyN7cr zPJD8YY=&J+75tKFdiAjq@zQ^RD8Myl@SEVH%dNDK1@N&dpBJiL)}kV?0&+2QLu}#P z$K}_D5a%xp{X@WhwsDHlHYxC^a>QDTYV`~C3VoiA@o~GonIBGZa^8SCw$KfxvRblZ zZ-ynhAht4dV~V)5IEbfa! zyP8Hih2C9~bj$p*u`^>0c;RrJy>Rh8JO_%d;w9pMY#RN!vqFY?NxRU}wVubdKoDUj zWohbNG>zxX5>2~Vka)SMfp<_%cD{zxOmo+l(q%7kw#U->F>$$T1df#4AQ0D*_pIKQ zUFNbGU=%q4>~%yaw@ma^6c@Zqqdw_IRn)o0gqnsXpL#9EAvX6kIemZC*$=9{1A2F) zEL?_<_qtnn!PPxGd@E+mzFP1X^qgU6FtUS=td~K~#XJ_M)$sb1D4KXxTsZNbSFemk zs?unAPFipX`l9Aabx)@g=@ys-++pkD@7(rqd?1ooE6i!Y=GzvvHJ`@Zw*jdcKOVyp z>t%)msJ;a}*Jf_Q(QU1SMU6rlmtH6PLL%JpNlznVrHT2FH)u0d^kNx`<7)>gvFEuZ zgW%$7Ga9=Qk=c1uo+~eBxOt}}*a>6Ny4;~G>XqS2R))#v@S?+nx5_ z1UqGmd$j%ot>w|3LuBZOHGaekS^&w`)U9TYtGcQWYY;``z0I4_X6t9IiTTUr7RNnn1l3x+FHYPByo9x>|Q6pUZ=vK#_@#fFbiwQK$=inMeTgf9P6^U;nM;oWNl@QsAjFm5wxU=I_Kop8p*QT>`O9Zy- z*C9U3cd~TuMK^)KI(C*IrlObLwVnEf2 zhAeONv1Kt(Yp7R!F>>=8$aLUR^*Fi;clJpB1Jw@ON1gv&JzEs3||h zZKNwEUFKZ2e@_cJea^*Vb+>B?feVA>FR3OMJ7^tX(hr(SX-U#M2^ZfSFw%Y%{>o2vwbxAaV|EI-Z(vdfwtAUHDcj{8=uczMBX!} zFLTUH@`nC%Y`lD?xv@gx(^oWq2Xi^lx3ZyMn7E1HE;K64$V_ydun1e@!kJn0& z@NOP2Eq7eg0}IL5?3z|m@O1&;bidX@g-Ss>q8t!3E0FFYIy8@^hZAmY^A@e6&eScV zoJ515w_6Wv&U8oM#x5RcZq)l_l{htTm< zwFRB|A?N>njYPV2{!7^sNzb9E1SDx>vbBj0U4Bzd;omsI&pg`Wc%(3(d0)Vxm`=!- zfb|yA&V?iLWe98m!_PSmG@6JgfX*x&t3$M)_N_08xex&jS$uqp>J4v&p>0|CuoVkNC&G$7g{45ePBO*%WiF@s$SgtVaKF5D4*G*thD?F_z@D@$mCdW^3$CKoH_%LNy&hHtz}WAzh} zn=)3edm?upAb9H35!F$NKvZT0u@i0*wymeCk$XSmHiU;&{;1p}^*||}sG}WFhGeQjzn9d;X0hV-v#8f#&&vvYd0pt_-9>2ltKdO-ZlQCKOFGB=2wco$?XN!wS# zkiy~aT?<<|(ci+dS0L0;yFMn7(jTbdCNn0=RxP$K9FX(cVHUyC#(M5|3+38!58d82 z7s*rt4WtaZH3`rf6aGR#JY8w3n|>orz{$Vgjx(8`?ymM~??w5{S8_*M7L51wFn4+H zPNdl^mr-uFNFewNR!A?-VrmU09W5Ig)6JFFheT*RKG7HQ8^#A|5!~0!D0yH_mwpp1 ziK&O$Xa==htc7a^p|u!P%cJ|M)cXzj(mlQ%hj=B=e%IB2L`GZ=5{n609)Cci zR}pl#lAg9nW9TB#8Hp$ms!>-raTQil)#sp%jUrm4?y0`<=rifGNFpj5=$CpAHIlR0 z0Pbw|-KLiPE1S`0t;A zf7vk7KLoygJuKc?xXxY_cGkv_tCO&cnmCpsrv1m(lhqGbO_R8?Uk)-593zgir<~~O z3u?<5W5~PDmGQPt)UZXLR&?Bvu~XW6O-n zo_#`w9sj+9(&UAC`?s*Gdeey48%#|8)nX=ga-;6E7*?Pd5-{KKN&qC}{SxRZpy_yd zB1iJwTxP!tQ2SoQgren6I8b>jU!Td~ON78k68xw2x?o-7E`H@6CesZ)$O5g9`st#^ z%Z(AtE_vb~H4M>gWg3hw2E_km`eE(>wyUr2SrijOeQ7EhZG?b!*a2)r?b6N{mDYWp zCreV#t;KM6@ZJxdNwbTm<8zhD9}QF1UP>ni>}4MROLmF=BrTUR2*Tvp3wOpr$5NOJ@--8%Dbf4-+#XH36rI(yq~ zXNK#2m2#K0GQ*tY8Lzy*-z`@fA^Dy6K1(Fdn_<32_*XN2jvOmb(G3+~645fboL^m)HIni$#lp+7Sz?6_IiM`X^NF%> zhu_YTT_xa$n)qE3|9@7q{dPCSf8$Z~7e)NX5RL!swp#y|_4#icz`u6<{1NO6Z9W4~Lkl|okX*BhtH zy9k{BtC9xi#0k(34P*RnWdRE`qIP_(4_jaHEzdq`T&s$u;e6Y>URUnyoS3J?obvE! zuMG@WkDkWWL5KylMzW8In$ip^cu1KZ9T3X(KaUf;`dHGmOUXNV)N?aGo>8R!OCBr} zVbOk96jO}FMT@}?$E6~Bf@GAfIkHBmVp-Gnk4F^i?`aN(6A24AyknNbO?zQ%AXXq< zxdB0Oucelx!w8m^Y>4IA;9Zr1k!NW_*Yt*n~W>p650(gpxK4#}^yg7=z z+$efnkf|LfQtM(GEjLv_y)vYlYK1Re6Xoi2I-h9!&(x+@Lb_8u-ht1_;AAQL`}eyQ z+DZt$jXPF_t+*XId|;!D2%6nJV$Iks&~}-1v+be+A|fW5IM|QS@)ZBk2LDj%$QAH~ z?$Mj?CDibXTTCa4`alBYN(b4zM0ceu_X}!i?yGSK?DQ&m5 z6;+Ay+Mz6}c_(7kP5f=o?!OoAXDNl{M9DufRa)I44;}R%gw`D9!S1gZ`JeH1gX_og zC52|ZHag;BZ6B3mxM`liX+yF?FT$4Jr}yICg8ar_dEMYr^{hSfUIW-Oc_qP z%wLiX>_k-;oRQ`Ne$XuPtB$gl-3SBB`NJgxw>F`d`>&?ux^IqT4;1LJTXeMEhXer~ zSJn`aWlb2}3V_cy>3_31^%&rV8)>(yiP}P})=RT=v+a}1cL%Akw{`34C+rqSe7@b1 zHw+tI}+?rso;E}2xb?2sxPT{$I>977I>GT4MLvdgr=^Zq}!#%EvhOG7#V{EyBvdL9| zyJnS4Nsj4)vw3x#l;GfdbY2T;15tas)`w4hne@3MZ1rShpy;kjaON>0qb5WG4jP)RIk($-$_c!(66@ZYI~>X=6>*&0?2mq+JQDq z;4m~h0$0O<)6mem&d1u-Ba&Yr+w<#=6;4=;+6HSTXjQB5?kVtj=g~Yh(1J_Zj$j^& zxmE%>f-k&^+(hwQaco!pN(a~4I2U8!6zy;hD-lJ$K=MR%DmgUcNaEbAs{F9lwTG2$D3kAiTWzuF@N_HPx&R&lGxScmvZ`lNAb6ZuW7ETT3@OyK;(G)fwgUjAG=zE^2B_u>e%f~*LK4rG`6h=X*9@RP)zm%dTt zwk9}HheTtg{XeycO#t05Hu4*CRkcq&s-|X=ZxCZ9|t(`kWbk7`zk{s`PPl-Zup!b zkglb8M}Ft9Ah*0C$z=p;l>mo4#Y$p_p&%^%Tw8YUg^AL<+|IDlw_*dyd_##L+&YtM z6Yk8Q%gzy#dJGk!dZgjL>WCyPapsZ}`5lz)-pxq?&YBmUoaOMj>babjNTyElNCqy( z4G-LWJo+u|97`!6b&HIfz+T-pyU5mv$&6EJy2}eo7&RcIRyD&qFeMX8d{0v1WDNimlcZHy(Ymps4 zzstyBT}b);U%kiW9YbhGBh(&pOa|F6$_1+XOu;74|Ge>^OYx^ve1FOQd_jKbn?IN0 zKWiyo-Ua$d0qundJzew>*3W%Ok=J-`RHq^LonU<8n%wi#BD`f4(r?_S!){ShUjuQ5 z<%Zo%3XxSTxtaF#`f1qwk3f!z&qlk4Ba=`w1nsxs{G=4LzGNe!oSI>iqrw(8EyI0| z)Z~vmR8;MI56p+N8L{t$65p$E&gbbjhs7pi zckhuYuo5H-QI=4~vC7zQo{4+rig)k8s4pzO{!x(wDPhs2zXs%Rr~T=%!>zQkWGD|4 zcwR><8T5gTKMS5&JD-EK2rgat-VkL}IxG3U@bTe#Wr2oxsojNW8YVltO$&nj!Y)Ef zN!A!;+pCVjxfU=OCzhD=#NZ*8DWqfAvy`i4Fr3jNiCTYbE=c=ngDP2w{yxryr*MQV^1Rcb9o$dRlImZt&G?F4mu^#gQVeRO#VFR#}f{R(P4Kl zrJE!UsF`&4GYVcWe(YO!UpG>9#RY%%BOT|N2AffB4`tr1gIF{NP^@CG=w8WR3lz9q z+>D>iR~?bpaFU7&Fyt@@ecwB+w)WUPR?%3^_-&8@?wqgli9dF{MS9p#=4w8w%FxKP z+dTb5cKV#ErNX$^`!rkY%#Z!CZHvh-m&V<=3}n4fW(b#Ma9cDbwA~UuW)!bDkxX6d zrOg_ndaj~TnMJKMDmPXYkNNsF#XA|f*_63{ngwprs4IIgvmzT|8->oANewQ>6=;`H4(Gdzu=C`7cUIDURap@q!7fM;G9Qk&0W6f z?ArTpj)DH?!ut*hkRJeyiOpZic>W&Vrx^)dHT?&)S)`g;bvI;sHpY(HRh8tgbuhnYiT}@h$IN=73Ygywz5saTL~$pJgcsZ#>!W)T^4iVxVUb;@fel&tO1JDb(xuv z=VYV=BFmc`$foS6qNJRis~tXw3)hNbf5oKHUC<`{&&Cozma0cJqF@90UpraR8L&& za_g~cV;Sc~gh)$N&vah1xgAr_Kd!#OS%y*`ijT=?!n@`-r`se#*`q9)vKpWkTf9_= zHim%L%)&TZ_>yhC&)#IK)?#eE&CqP~U{;7zAohf6M22xeAy^Xicvk?;)&ijAGa?{g zKjt2)&4nGW0o(yETj6miC^mrX8)(5ix=?=yd?$P1fE1 zN1@+9L;@jz`^id*L0&n|b!wv2vG7S0iNa;@(}C^rJqjiy+3dK=TiJHmx_y6 z3R944>#4*m)bTUhq{en?3Pqz>KVQk&c-*eAs z7#BcHuz}FTcA2^W1+rF!!K>qtSYza;4Z)n#z%%5Jz{t%=4%j&4O%_Enm@Fep9IWCIvqqds zOc&jwc6L4M#a)ZYo=9DX&B3~N2MbYVl~X(02q&ZsK(r3Anv-?9ARC$3GIpmnv7hoO zXXJ`?jI!wcgo$jwh}4RAA!?P)FLQDCr5a0JetMAahdk-{HxP=mX9p;r30x6)>dy+0 zWKf``nQOhW#NJlMZqz;RXrX)c_Hryvua^HkZv$rTA{|vGUDnJabFb3R(l^$UtHSlY z{jj;L3VAc?ZY%}n<*ZkUrQ#@=2})F`jEoG6&XczhxLv4Y4Ts?y+gu)gzlcp2Zar9SMF=c;Hane(A2&S5L8;6%*R4rzgy3|i7Ww>6dA z+*0%gQ@z?u9%68i6K;ECn@xM&YrQ<%0+&UYy8(m~m z-ou}3aV<;ZE4^W|;KFVqE+mMY+j_eUO#!*}c3f;IG~CaD>YciufKzhV$>XnAyBD4B zNEXc8a2+;~Rm6mqWYl9S&U*UhvAlAisJf$%%0QAGIPF%ZZI!Zh8n&r3#=iOIPoLf&Q&!_;kg`irm zyoJw$<+jun(~VF1DzYzgdy~{gm{5R&c}z-o(&Y!gdZYB zKExJ+g$y0I4ZjRt|607QyQVl|AgeIR8?P}@=DPW^!FY&QO;d+FEWi&{^ejk^uIkiM z#=ZHlp|?URro2wvt~Ukf9pq<5i+PAEoZ^l1l@z9M!sF?&NZJ7j_7@%#vzvh_cPGxf z?a;6YQ8i`F6B(I*%q(xvku~=`Q=dQ4I6gfo%Ul{r@p;URs**n5M2(NGCbUK((PYeD zDBXS-pZi~gIQ-{=KIAX}Mf&PA8VK?}0(h(hYRlT10N8izIsDq&&X9Ua|^HLhKt}d1{=qll>$(paadbXhT%u zn6JiElZIOcv>mc^G7;8p-So;_fxVX%5S%&`J|cOohgV4-p?VJSg>D zhJVXjzhM=g)lw8D-=Pz?F1C0a+RI(t4mcOhixNu`T$0iI4rk zOC7TBuGQ2(kMa|jxmLI(Me|&A&PfSy;4xBL3@J`Y9($RO5O68~-Jq4@G>Y z@w!uLas$m(c59m14YOFl``5?EMUG*K0I!m*e|h5snSRW&T<6?O(gbOL427#+lkL%& zl)YlIFw^69(fG5izAlO2&||{3Lnd29Grq!#uqyyzvhbwoN@PBVa)S3O!}p#Pmr=~Y zEEbS8Ph@*y@3JzgU#4?Pme?o~Ix5s>nD^kC90znmK%%b%{6bleSy0-gmVj%*q%`j* z8|FH>Sp_ase;^)fk$TUX`qZVDIO8==;8_^8qM!C56efpIUV-jZ=6d?5V_swFY-;`S zDyulwU8~YOVU`B0{SO`3pLaH%DS!2q!0J+r+*}YX|C@O0cL4GP>SSu&1+F@qv}~%d zv>u4bTu$GKr0~LXylI~lmstP2#!#hwgMbY||Jbf*tGDF6ox6RP)SG!#9+`8 zA4B`GW9!*G;GoWF7Iut`7$VmryxvB5!R7wvI}Mc(0jSm9^w&-^T$qeP9*SmZH@y^< z)S0yBb73YYnwPv{afaWvppaPVJsvLPD_MBar~fLit`1$B?K~1Opo4v;+xWkX?rbtyZb%W4MMrJ)cWCsWvaAq!+oe*vTWz8-o%aCBp8$gCRAO_ky z>)D8H{xXDN2~MP0B+lD11K4$^0Crtp$SE7L(^Jtha?d=ifaQf-&CQBu+E}B`z9^kI zpzW~#rozu+K6Q|=q+EcPl2imbrAk}+CYh@2-Hb5mF>3a?*(8%aBJ%k{*v zDRTKBSt;`6MTRpUNJt(R>nEs43I^6Mw^ov(DOo$ssQkq@A%yI3rP!rCVmp@Q`B5IQ z$Y8bLyZvsWzRt}XK7@w1OOdw#6GjgMvWz?SM!D=tv-YI>D`#pW)pf9q@sj>uj>A_tVd{vY#gJ&TCC!~f zxY+>QDcHBjf@{>tm?xOHg!7X|L6oRm+|&2*E@$Q^28bWkyxCTW$CO~1Q0h8}shvY0 zxql2a*qkm4KZMcq>5MFs_3b@|&vx@$Oy>-NhZrL|IG-%I>c8~BoBQx)NC{KfY6Clm zyn{-30}1qJwvkGYtWM>=daK;?<-P-jP3$GT=e!{s`sO#D3q|a%*e?~hWEGBAa&18= zfTx-fKoTN`qJ2FwK26)*WeCx}cVAzq!zb@XlB!sJOjT@%lHUEMRcgEh$%1EI90pax zQ1nIhmFAvKD5)*vd!2RkZ`4^AoANnYhop`ieLm5`&iJ#V5KAcw!QMm9s+zeOOmE(* zOcU-k;7#VkaA46*F*Q(On68rWHGa3IXc{*36<^x z@6brWk~d2s+ef?Y(y!vxMl<9reP9&zzdKBYb2;U_h-tc>s$sj{r$d1@U_G{x&k-SA zkaM19%is4vn5dTG#Od{Lsve}|Lb46MuJ{(8Ev&f!YC&jzeER9vs zt*!QE(~WmAsZ9)v4lauDwcr}x+Z%M38~Is7dc!yw&X9itT_fChTPkyn;lpIL$qiII zk_`o20vhiw4|SGJ+btV}z;^jW!=tNBK9jXu*Pb|ZAI(j&rVDnKqo2RqwGoMUYO*Zq zE|Oio3nhX41@-pjC)C@qQwPi+A-d9dih6r{=k0gY8-^)c<6WOju4(;7l* zXaQv*Fl~ShB1PvLLiZKHh>MRQ$Amyg)EeMw3OSBVh7PrML)O9YZnLT~3^Djf>n&iK zhC!A&R-s>jJ&GFw>{8N0R^XLNhekj@c%X%nPJLqeXsj+Tg%vOmmjZ^pjST{SA6DbHhLyn5_9GJj@Ph&Xp#YvcRvCR`HX0iM*$2ux_b+2} ztkMtm5Ya~=r=#)!qlSDRmE|`^1yV78yE55W7Dr_uJO)1E1^AT7zJYW^G>^Wbde9xG z0|TZ@Ch+a)!12E^aOC&B$%Sre0Z5J@;5}f|{+q>q4lSU|L!Y26uz)RpI`%ivaOO|j zqVk)A_dq-7{72KjT=@oClLrEFaR6Dx^ORWNQe~_?6d zywJj_Sma@dAwP*l@^6X-jl1{KgxQh7tGp$xr#U*Qj6S z*Lwaze$8tk+8=D}d%Y^G@5EsI%X@8(up48$8Vy5?i#$2m=V|Xf@?_=2vw9*abaE9f z8{B_;RP;z-$F*69N6|-xU#*Q1DSz3?g{;jo4Zm|o_Nzd zS$*!Bj?a<6xp_WV81JLLII8xT!n1RY&fP-S&(@zvdxATqnx<>AeG09%wz`q)gu9>k zcFSD%cokek@7>Soyuy%Se?DSym_RQN%{ju0wxNk~61%3Z+fpq7c@Vb0+3#e7Y$Eb~ z@vi$ivG6SdTuPi?^rKOr9HlJi*!tDlQ41$Dg|2%JtmBv-WcRG>{qEyscwd%8>yqB_ z7Wjx1aCgfrt@SrOTR(bC9Rs!tl>z1kbRYZ;bT{wB0ZDr32bEX?%6uS8deCv;Y`Odm zbhwF~@e9P5nGK+zZKNnYvqK8N-h*PiAvFv4zJUy;4*bDz1uT{3Uv6ZnjGWm4ZyjTu zIe-YEB4_TUt}#!0v(Jg{@nFMG*r~XMce@w6tN%%GS}4#Sk=i z*>Naz6@qOB&p5q>7HuE3lA?fV5a(gDAm1M#`=6dD`L9kCc;eRYPaF-a{Ro*jL@$J( z0edb8h`?xr(SVG8(*CDs`W!G-|9+}P*etWtsh0iiQWX4kDR%OIxum~2)1UU{7c?t`^!cB&8dE0)n82Ybk~x8b=RPO*|ihyU+n)6LHd=+eqYvK zP8N_b^Te;49}JC*5| zWx`XAfp^Cd3tWQ*Yuht`MB3<7f7U{r*wCQ_Wzw)lt z5m)T6rGcoZM8mm!m4QejT*v9@0yEkMk=WmbWrQR1mRrx)q+V#w`dqU=kBMC2wN||x zWE4~Bd(yY`6xW&O=}=G!RW?9m@eOn$@v!wG`oamd?~QO|ib=S}1$(EKHtV8zWSzb7 zcxGgrSt@Rye8ace1AaboGhqbWV+;hgyR%BO=$`cgC3RM{>k}8rsGUU47*X0Db(&zJYGs zF(8r1oC-nRBt@}tqC;9Zfw!;b)Zd()u<*twjX+1#ff4%Zd)^Dj;*EEj*B|d2EAK$j zR8DdeXuTDIz%&{-ro3@N%u9?xT7|N(s+Q)WQ4htL&MUkh&Z^?3X?UTaL8(+VGGmL- zZYR_g&Nfp84U|`b@3qM$lWgM(IjY3WH?tzj#IGF!wG`V6qo{IhSmoY?e|G9)C8rUgOu!q~*9Z&I5s;x>CnZ|E7!u)bV?=i;&M(iVH&R##;? zCQ?SM04;!tkWoi)E|~>qO<=F|^Jm4i@$#{^r42&a`P53;SR|(g$O;%Dkb27G>(BXl6QPA6QcV^U#K9Y#W|ag_nylfi$PKts zAOcsVe%L9usX1A)bVZ2ne%$<)Xq*gub2nEn=~B!iyR4#S5pJa(G-d75*T^qJ(+qb| zp?+DjT}zRsqT4>EH@f`?ct2Z(jSvy^uj5`!&DkKnC8SOy@JKH@8@gE3fnIO3DHkvGuRt_r zI=yEBuGI>dVpML1SQ>V0+gq%R5Qme^a zU0F4R01$7mH>2@9SX^DGDk+&u4Cf3N-585I(5x9-vwK$e{Hl;LL&LbO+nZV2rrQ)HS2K-ZX@B zj8kX|mSucIQm38xBaX!OcE!7E7Rg#YaQ@a*yNJZjrR>Zj3?d%siyDGY=}c9B1JQdb zeFNPbSsG^#fsM+yPfQyz^m7T!-9z=ono`>GJhZ%G>w5&S-o$^6o{pYQ!D<)41Gh7v zpYaYiv`~XJn6VE)sd5Ve+zen`LREIoU#bp1FoeTWi#`_#hwMjoMpXa zb}JEzx7C+_7H>U@#Y2q%4|fJ(0HdM_c5}k3iC=v0<{I^7;0>+A{V|G16-^SA4hOG0 ziFBg6hPYoYT1xVpWX&jd1C8miP@6`x6Pg|97l$sVXQ-P+XyuRTa4pRs2w96Dni-{+ zj}{y*^}U(wUHKtV=vA)aE-X{%J-HXRJ7eq^>*U)^(VSg}y9vvW)8RM6=PWt^mTD?l zd^?hPMnq~+kI#kXPK&{y4@yLALT@iOCGD%;Zkv?~uq~I*sFEq_Y^4Lb?P94BR71g~ zU*^pB?QCw!`+!MI=BE2MM`jfsj#R`BdOVU^48WHsvt57exX})+N-RSR8KaWer(h&; z%F76A`_i~BC)|>99e5zqTf)5aw*(o|yh>loP*rhcE{bId5nulWY7z(6P2=x5eS|Br2s;jr#i(>&mmyuV?{BxCq*%*V zPQlKHp;!I4gH|G1?9y^g{n)X}YEb*3PbH5Hx{e@7(pJEtvh6Mlel?r@VRHdH4_G;D zx}H-!PI0+@kPd-;8Z3h}(jL&e9p6A)Q{O=7Xn<(0Q*aOnPyx|T&eNZp9nU2~hZfq+ zR>AO33zgOw67bQj)BAcumT9e_UoHT7M&Rl=(!)j|mY3f8to1!)sj}5-=$H|*p9%%e z+b__+y(4(r9e6b$P$FndEBsSyrPJvxHNQ{wH*cwlvIpoKu_2`BJTo8yc@2y>FVcE^ z76_;T26ivOpL6_k9siWaU%ZBYzB7O7oW4m|w>HsFAsvv7BRpaqf_s*588VWvV_m{$br-kS@Nt!cOFe$_E$J4xs4oHYw6 z3UalvgWmmosJu4d|Ha? zBSj)v>ZNt_lYz|C3IR+5F||@s?CsR)M5*EP=0@9OA70et*yGnlGFsfc5v}b*by1!A zFE$m4_4se2JOEx-Th#4E2fL-Ar!q>%R)M8e(axX%I$D{L=Q$5^V(C__6^Yfzhsgs6 zsIDk(kri09bALE3<@_EgzgDzl4I@W{FTQzI{1C_gs(O#aGrPzC3g9H_ z!C$=b<6oDyGf}R3(e&6!vr>_amznL-TQ;iYTsig!j2q1#p>3)VyK{UpHv67&qlgLl z@X#uN|EI^dkUM@?can!Nwz%ld5yLXLvy92t0CBA+!vFHN$hLR$JL0iH<-Rag-AGEj zNE}YWFv{Y;pJy$+LZaspX>ogc*}8v6*dB%NfK)Ip$hv)4L{j6sfwJzLGp1eYvVbH6-6# z75n5Ch*C!C{$Zkr$3pEC%+hCB5`C*hCV6`K%7Xw&^QtQ9BF0>!O2^@{4HPqG#0HiVcLTr|tLa`iDgGrW;lbjWhChCv)Da1n`@ZkxSOEU!% z^{}moCQvruz6wW}AcIjIh=vZOG1)728^+aeRE!ZWdH%|$eO9v;lRPF3 zDP0|sN5Bhk0TH;A9w4?5!c2g`8S}lmtSvdtr&v0T5f+3Qsy1 zb)qYk^ql`0i+XMtkNFM4@}6h4DkExzPh&C=@k64w1B@?i$i9MmpeZ?#1#rh`l2C%M zF}<3a2t}fChkFgLbX`BJ-KYS2(M4L`KL671ewq;ijC_OojIijG;tXwaS~h5GgirL{ zwaJf>J5N1DUeWMAmIcphHY0ASGJ;vMFgIAm%*gsO!fwT>b0NxmEicrc+YU109U1wy zD%h;jWXAr9w8}+?Drc^v)F>6sw7M=mZZ3OS7frzV7U(9$^%b9NA@?*e6TeG=Ag_~{ zG_$IXAC%DM74bh-Nq#U#&y9|%>sBJ-NKoTy47u8imO!Ph3_X+O4C#iFh`p-1W={FA za|Hk1NXt28w#R3qZm^xv8;^M69K&6xb5rZpRx4Gj9dsIZ#Vn+C=^`p}Ik4d20QXG? zozcm;^RaPyp}}kx0iO8fFzs7ma#v@M8miyAFpn%p10~4>5m>rSpdW0LdRfX4;ieL< zQD^^S$waH^sE&1)*9UR<$}G)&8&}PO(9nN(skxXjli8S#AYAjp&^Ek9&bf<(nmOpKAwj~>v(8@-ojkBM) zjy0feS{ctGtX5UbT=zKLP!5O`UBMJ*y**(-#SPj(H`cz)m`Us#PD0R+-+JC~pwH_` zgP=lJG{f#*X+Y#f9~!x(TEVX*u4@&lWlR@RohdAgI+G7_r)p5OcVV;?`Vm$BU0dOw z2)g`#_7lKv0pP8_Zn)h39m55e_0D9~5Xr--mP?b?CUzI3==k~Bof=|qm%446z?hvh62kPvTlNL=0|<)>pKaj!SOm}$DezcWmb>Z!hh8H#XqZ*3gilM%j$kbY=x1WSDA z7;v}WmYnbfl{GmU7NMkxlaE_53VjF$ZPWK4O$*J~E>>?Do2lCNTl#UNH^PV<#2@XX zFwlVnb#!B{oPmazG0V^(gt6Tn3bo_*Gx}pu1^2!pBb}JmvMN}ccva`ts-Dv_f?txy zxLjwFn6b+Z%H!piNPWqzBVf1q6X+(kup0f=Kkgn6a2#_cM(XLm}y%lIAV=U>z4%pXkpo0Se4B81%h;#;v2L9}W>`$FnbHGmjb%iFI zB8(RLv*|>sgjC%}o&aFDqa-X=0yW_y8J#TmvkyjgmKjG$YZrbzKwcaRG6GU1@MG%A zYzostfX4jsfw9^PO8HzPBPK|olfVPSwTQ>FDqHFgM9RUg$bm=ek3!0^jcIR;xG*+Q zQ_>usHPZ6G7(oBR9|ZV^k=Sr*BQTi!uR+|os z&X0a#XBNlG?-UE#5Vvbx%D`{SbLKYJz8`dHUGBQerHrdF^~^6OI$oW0<#p8t=!?~ZG7+qMNk zk)lYK8Wj+v3esD!QACJ<^rq55Ksrc?bm;;D0zyQ3?@f?Mkw`~6p@u3Yk^qJPNqpbl zr`&tbJ!S86_kHj8{-Pvb$(Oa}nrn8&xUcyrJ%)U=RSg#WMk>0SAb1e z;7v#W;Du{p-6^6U%RaMCdlikf4~67gcRWHxE739JI8X?DUaWI%ScbmT!#6Z!U2Sr4 z)1I_WULMt~$~C+8*rz_mTC6)F+$O%{mD$_45h~51zzbOEWJqp%jq}x5wiu)C#y6oi zJ=$$o(>*(c-2@kJpw-A8c{7tIy(0~)Tp0z#8-cR^%Ys)i=@B;L0$#zq=WBxl0?sNW z{kQ(qDL=`y4ckLaD#YBj35lsW>ZbP~V@-grR(O~hI{X2;I8jQP%p;nEYn*?Q8Pem8 zasZ8Q4)sqmC@T!t0NO$kW37&>p`C452mu2*!PmnZiUAo3{f_BRvWYMf%SH@zBNRAG z-ic}Ak7uOMRYYSj%F-{76f{O6Re+G=(6T6;D0Hg>(1h%N2Jd%(cbCWh(G}DG&J~aA zq0YLbO3*aGMwLb2F0`Ghm04~wpRN1aZV$(6YJc-?36Sz#1Y6vd^(9b z`$TEmBT&8>^DswZLTd6v`A0XyxjUb)^C|R84|eMw#i$Qmro49a?Cd4?f@`f=osN?9 z7fHSFIsx=;3``H7d%`C%8hEpiw{`R79%Y)1-lAO&($1Q)^2`;#X*Gx)Wp(otzMTBM zc~C0&bTC)ZXHXmu3*ND~U-Y%TTdV`|JL&Lwlf z6R^_*?QQBim zzX(SHdD}uK1vg%OQ!IG+0G&nM+fSa7VqTBjkS>8}(<21Nq|cV8=%!5?)W1TT#9WV0 zeE0Mbtfw{gZcV(xbLOaz4tV})q)B7$09Ag5hFXol|` zPcJyiam_PxqbewALdz~Nc3Cl=XTRGtdn&3TXY5|imTz6??Uv;xN9yQ{heB^Ck7Fi9 z`8+*LGA0{+eGh4!ttsXJ{?A8lycPD2{c2Y7^Y}4ecBLD$eIw>-Up1oW%4w=q!g=oM z)p7gm7}t(9aO>!w&vFr+i;*;BcDzV$E+`eAWoz;zjhch~72*mP%cGlAa~wvTu_|*! zAT-&!ohOjv?J;9LrmhwKLB;sd*`bf2t7=!8UYm6Yi{>zZFFCVsFQ_@wS#=t+%;cD@m^phB+pAnC9WH?`=qgp`*)5{^IeiX#6m{uQtWC=M zB$|)bw$|9X&ZOxM?hmq2*8ERYU%(p8_f#n|;{-ZIbP#JzyfHiLx{^kBOMp6YXFu2P zqWLkjaYr7Kl6fnYle|=zlJ)x{(~ZxAbBo!}z??;UqkX}z;{a(Snu=nfqCQNoP+RkS z-rZJFl@qt_e#@N&x1wI%kzG+?9FVz1*|Xa9)!( z_5E5;R`E<1%jdQ7>buWwaDIs^U764%V>rmwyuSAIm z&F1GI%Eh;ZMBDE7H~HDF;lh$eCJmef%QA1V&F$~TTb{1QTVtI+!|AKt)YnR|><8j3=`=Zy=P)YK02r)LM zi^@8sUpGv7vM{o^VC=@H#A(EGRYW~(da$#>h(#9CrA-<(qsG<=J`?6s zfKY+MMqjn<2XapWATFLaOSs4zZ|9dMc9m>oE<1|3@;Tb3#O8G zPDv7@j{thy?#2aEIFdNW+(g@qR?g`hYwFx$eAl8X0O(GWySZ!9>&9F zt#L@KY!~=tjxe6v4aF_~aBO{y_r?5N1|7-`U5h6}9|d+bC01NCWiv}K%gJ2^#j0Gy zi=I#g3Sft$19_cSWSVNf=2h3V&aB>jKIv-R>;k||TN7p%EoPKhPP*ju11F`jMq+Ua z#Oj7b zhJ$T}XHq&~3{dAPcD#DGPv?H86@8U7n@sX|n--ZvJ0z0*yoWx1n$h>`%!pm{(It5wI zO3p)5(@a@U1R$YG49lU%d!IZZT)~Qmd*QuiAs3x81E*w0t{})iG{GZmlB^#97HHp$ ztxwm^YgP!#X#LW*4({xRG(y?$RAGg6#>;~_JC?yb&Y3o@ZmWLiQCh)*R9=G=o2uq! zkG_{#k)uP;$a-FLN~PXO!s}womc0=@kQkLq_$=QdM1fY7IrU(oh+L=7J;aKef`^}y|kb~j{xEtDj zk^#AH%#|Fz)H4}nk4(@>eqJ`W@g)ZLlVe3<2F&doY7N8GT@~`Q@4mf7ohq*3Q=}WLga^q ztJXtFGNtwUagof;E2*D23AJIa&uwesGT(|Gl`HHUwj4kc8x}#NK~UXrNF`7UDjtQi z91X&ERrwMhUwasp*VLNlJHNc0i|FSE2m+qzB%}<-%2pD9a4RRDhB|G~lP&w?Bc{ zlsvI|2ox!!!Y`_4U!?KXt68a|*t(`yEF5Z#tQ|C8bk1m2&W!lTD;Ktc@=pjf&*yUC@! zVfBDEseg*61zKS@!a@ijRI&9a=d$R>Xt*CQ8FkKZP*u|Y}-+TfmF;(S4?7U3Rr2O|?v-=-goBa8{oaLCvbG-WL9A6bLquIqT zS8KXDhGd0b?}^Wvb$ze`e9OhVVD$@4C>abaK~x}87;h8a@$89z&ZtHKqtKVlb)jDB zz|`9aI_LXRnW-<=RAPu#0OEBU=Zg7B_Cm>-?SFB}G0?gwgaPqG@HxUA4D55_c}J{P;rp&Dv%Fb8T3-sT--{Lg zvMHs_bfIJK{OEN@!?3XC&GGw3T_oxVEOPnKtR8<>NxJCfxkwl^*xTloc%k*PN=CJB z5B*!!Yhz|vbdVX3*F2*DYTO0RxXn@2T{W}5(y3sD3-nEK%zH2px$RQkr>CPczj*1` zrzkT2knT=-u=dpBzCU8g|IfL|KgbIHn74q&sR&H1r2E^SK!+?q1D1k$e>qrm_JNPe zr1CbC@ppy4tiXRa1(bih0zL}@$~`*yq+7+&ZT34>4vA0qOA& z0#FqI2C655rwD?i!Q9z>dh}EEebQM7-dF`tro#Z`Fx;8M{Oe&U#G02Rw+(J$p3h)k2Kj01uun>fTI9p=WmYt)2%R( zSgB&b8=KHw;Lr%rOub^TP5B}daLTKV*p2A?mYAz8dX-!B-=}ir4)XVq+;B;FqXcLe zFTSS|MJ2r#H52>yp}gNUR>+ru(qcju>@)a;MS7TcIkS>8+E z1BAt4&Tp7AHWxON=b`o`*2#L#zB2vEo^5i+Q&QV^CZ#ftsj$@EyEBS7hA9FVd)p|* z2p@$N(#i@*a`$pAkmZQeqAc5xu=8%Ji*tRNx__O#>y&%pT)vCG^&SFcwFARutq61t zdM^8h989}u0FBJn4p}!3o{`3Xlq-FWR_v4WrX@d%b1ROFYF@x zu{e?*)fBhuWkJ>HOA`KSYIkyultD3HUVQ^3(pPips|MA1c2z1l{$~ikCwkG+CFaBn z#7MAx5Cms}fyY7}Ac@FfK-D6UHEj&+$xo*jIi1wVFn^hOPT2!AF z`MO@c161eR&9nmamRM26#}-5Lpq=W=oZIi>6X%H)0(*G`Ss|LuGTK``x@8rKF2EFs z2p)#9x9OhTb`Dm;G=;nUh(EQhQ=f%ytgf%_X>3ICGfH9#e3-&!DGmLe_p0?YT-$n{ zhz2H&;28eqj}hp>qOyG?9$_%UqYhNNrGv4-fxuqn$@t>2nX^%RLdhFcPE>htcd*>3 z7iczYMLq0?aCoR2lM_dCJ)j;IbrsoNd)-qs)#nJ}?u0o>TyPbfWEwBQrYu7V%u}e1 zZc+QLV=0Bgro4iIilPO_98hC>sF|AQYBC1d+kkt;&J{^D6>2AuFJ>2rSpG@I6g-y0 zM|{_QZjLnez}(CVFpk(9E<|{`xHw*F3c!b@#mqk_5rgl2z3skfA+Atze<;S_B_t+6~XAPDlVTz_+^~K*2)o6s!D#ui~`|k!OGr z%kYtsI56L*ZvZD5{UTIj`su+OFgQxV*km}1>{^UdfJeQ@Om&}ovOY;W>)wPuCBL)a zkIERQmzup-9P;JMoI3mGi|QpTy5GS6S#e(y_^aan!}Gd9?l?QgJH9?6Z&uH?y;eN0 zv6-}Of-15v@irK8CQ-Ly>PQ!0)Px6E?Vn^(hJeHX^dSWj(}(qexUC_h-@jxUuyRO^ zX+5u@J9PSDhWRyNp7;~dKucn4@MXfIm@(kX319sh$i#*;C4N81D?C!~P5Gi__oh6V zbn-}UU&TB*VEo>-JB;$+aC#1Chkm<2d3=3u!M#%It-vgb5d0};AGkNsmzH-K6sJOt zg@wRf`z@fKKPV5S7W#!D9Q}*thuJm6DggK2E3ex0f~II{FFysPU*h7JOocp)7QXQf zaBHU8El%fmkAWnAI<ONGM66eJE*{B2 z&Ib4u0)kvEy$`FEFAIk!A+tAnKG=7`XIqzw;=D`JrgW-n8&2+59X<(l?thb?^fAf2 z=Gf@;S<8*v8Jj@HW*-Z86(`3}4x18T$ZbQ6Yo7CkJt?%%tX>Wh?ZJ0G=T057dqe7x zd2-t$I|sGw2C1|nU~hr2iUv2?$B`K3UCKdFm*}suPuptt z#kYA{c;(&O5SbV*122_zkpvUN;MxGVeg|o!LJQR5+yXuwe-uIAiVg8gUDo?u!Je&= z2O~!a61BHC9jG23V^1@sz)x@wBi!c@xCH(55Z2lFS()zH2LFk5@GyWx?Z!hH+b<2G zI1e%1nejdEq~%cd^(Ru_+0FY@bmKo=-#YL3xODdRy@Sd?ehc;Me?eaUH?o~mDLL+= z6=HQ;+9_*UkyG1q3J-g9#B)v$QI|;b%-{L7U+CY>Z~l#clHNg=vKRO4Edey5`Oi(a z3HNvNYH%gH#+eBB@qdQ)kYk!++d%{yEY;_DuwiB&s@$uJ+0?Q_gx;DZX47#m4J?3M zSaG~^znQ90otb<+lPdCu@{P}n=h|83HhpTgkuoLAH^f@#Fj~@|au#-FFI!)=7aSye4%<1x*mv{LOc9i2W1lv-7vs&eo2$)QTtzq`DZ_i+k^D{ZVq6;5Mm%mp z>hc176r*s5mjyX1sC?bazA9Iro@N&y@pB|Tw#aZXySH)17LuuOQC({sV4O#-PEhd9 z_7cM|_0Qv-9)Dq}$`Ql+0G(y~kvAyg%sc#&*F==&zTSTchz6>&aOiU>Ok|f|Q zXn1F$%Z20et`lKBAlov5??wU{m2&;H@S=7kk69c}jf3M{Uf-7j>=)^C3d>r~t@b95GX*4ixn6oy#x)D|sokWy^z}==;1FVV zfelz?G)~qeksFTqLE0DW+k+=@IcnUOG#^m9xab; zU1^S)S~iLJLG#eJ09KU*-)BN=*k~-GIGh$UWOsrR;c1tepP!BwEwHxt5iz&zpA~Q zO8AQnf;W>e=_}yw;SeNoDw@Q)4W7=-M%S4P%Fdv_`_8uJN645Xgy=J+dU@Ktl~V_@FsN5RX@fmGjBmg;E&C#r zJ;u7>EYdLa$9p}~rnkjsD$tFp-1*dvNV(U9Ap{@Ou=$hHc$Ej9Eo%mj$pLJgphP%p zJH>*NEHIP3hj-+EIIP5Mw)Z=Guk+ohr8B=PXwC}ur93R(8r7Q{&DN&djfAt4_yJfj z0+ATZy)B?QRk@r=?Hc$}OctRi{DlU>l|&eLx8bTL_gTNNAdf{TVS{@a&g|SS1GLRu zp=UNH))`H@^0$6~JyBmDzQN`@!%-?`oD%VX>hT?GTN``jVGZmsni?Cntp4Hv6d5dy zB_9uzMkSGrp;h{w*X^Q^ zieT77o|0q4j!d`y}#uP2n@y3oTF2buX7PA8Fv4l=VMB8;8-dn5oXRc4|y|Jb#qN*jQgf zOn{kIW9aqk41CRz>SyyJ^zIdt37$%y_!>O%wkQnhB%Y8%fe$GUgkUyeuEuurTy{ae zu42}^>!%J;I0F$(?M2=SZBf+dE&O(s=W9-C6=@OP-~%t4-lpmqb=)odVjIe-Xy))} z;md=gnj@S0*AcWbKd4@jlZ}6%R=*Y0vK)_HS^kPI|4GKVf~Bj*FKFHwF79HMxN-gE z?J#Eda{l|)&SHb*3SmG?;Kc7?vuy3+!C%1_gB9jBWv!S4RlWVCcqM9t-Q1j4IYT3F z!R-^2(jKulO)p&Q5%9%rt7d zZL%LTNt}=Q9J}`ND7q9!qcB}!@IhXjnKZI^QOOZAtd3V+b_rbYQ@?qgQ<&G;8IT@xDV*Y+l{xcgjo2p5oocOqzj}G5St2xxs$IIjr8u0y!7j6vEdmP*S3j2 zYqOVHgXZj&HeyQaD;sX)8V>9$3tLXqTRb1@K6dGd)vx}Lut$w6V{VS_eu;nd5cNXt zQlf55edWXRhs#qvi_w6_Sh^L$KzKL_Z~Vc@`Pi8fZr9j2L*|p>I_vOWe_xU76-3!R zCdO-YI%8Zp9R))V1NwB~k%~466o3U}&0p#Dx#?0o``Ld@T(v|bc7sy4vyfOSM@BOw z=U`mrFr>c%Lfc|jR@yUoLa=PzQ0LJrsdi?;9O z-HEbd5Z#J(HcOOJxp5@bj?JB4Ux`RK&%@7NNulkuDb_9!KLq2?M5G0fp z^VZac4e7|)$DDp9H^dxbQm$~fuV$~n$?ks>KO;XLJJAjvfK#gQ5a_X>I3*BjxY`K^ zve^?jv0ZIdn*H(wnrxDNUU%A~i2cjP8F)6HDPf<^^>I|!vIHAkb|wZXdZ1Nve8}`{ zh~nIf3cYMjvvjmpd3wf?c-#h;(SaHCu~V?h54{JejhpU5H2+2d`4^<&Z`EV}V_MVG zP=yiGm{DfoeC(QN?_9F5G5jHBK`O@rArKgonIgZK1;;>fLff$8+tLqZujUeBrW%LkBQ66#7WvQL(YN^TU(4lu$E}->{?N4lfBLEa z^lcMYh;`sqWZUCE_aASpT7}cWSG}Wtk~P5(qCp?ss|c}9f$)R;;PW}5@QMt)_(Oh; z--Yh|v+W1j1F9e70D|)!DCw5RP!T^v4>o-*bp)2}gSZnL5}$WZDkl8r%Amjb(5K?j zs|wz!pNT!YLNh!@)8*&}a_fi(CJ9tzryw^~&sBeH8sBkg;MDG+ElxH*%u}1?Bad8t z#;!wu>4o|&L5f?z=sDV52`=?gc18u~*Z3ELnBe_y?R^qU#LYpbv-G!fihfLQbWc8X zlyRevsY*PeqCWv7v(r;$BFTFI3R~57^bJd~`Vn5$Y=t*XhK>N)2QL)I0-esWg_bjt zAP5o}9Mb?Ih2)V)Kgn=X@M=OA@lpC-FfSAZw46AT`0ME=0PIS9ok07O%owys0%J}C zU~K8)!8y?3A;1OYoiIRUmq6PTBr61oeB4jJhpM}Y>C@zUdj8usDm$wy+^7Ag2iR&A z_Xvnt?kT7JIoCu;M(#o1-ye&=f4=Gp zo=lJgdaO=@NDBb$!x#Jm=>0ERvIqR0gjae_Lu#~N`uHIA(jT~7{o7>B5fv``ql?h4 z>Lko?!0^EW9Cs~eZ(vI@_*-sdz;#GY*1ettnnr+sAE9~)?-pmW3Ut6!tfxBqzSnYJ z7Ce|GDg?wHRSt%yCEI?#@))O)Ylqa0Qhd>6lcdTW99xRteK6j3cZsvt`z)ffLflN; z$JF4&tI1)ruqgw;Z%ss-Bvw(loOchXM2j8Ug(jq|IPmXR3?{9|m1LJH&YaxWsI26@ zJI-65Y@gDvN15=wwDKZX!r9(;G>eRYUx8cIc9R0Bp?um8PGZbHB`S%ec74+5!s93s zG9CTWlucAHby#sP|A3i%d-1%qBfz&NDkQ`lhv!^N*Ui#Ptz2noGa6e_r%O9DOs20Z z6}%#seO_m7CE0la}8h@qK{JB!nv=|sfQkUEI1`x5?0DC z??Q1M3($Ox{O%hIV0ts}{3J`q3a6iR+=cCtF832x#!0O1#g;21e{oWTrI@dN=A=s0 z<(R}DTLI6i-cBEk>(i{9t!Z-*ED+Z3nxp^m#se4|21aKuxuRB;BH zga$ZQFyhwv$Cp|%WojEDhpr)SGNy3878%@Eo7oIAH_ohjvze=Hd;pCCq9SE0b~olJ ziQbWib^Pvnk))~VR@12Et#n@zA2n8kmW6m;YX=AGTN{}rSX$6ynhte_&eSbY!s;etPjpB_jdhL+7ONxFXj4tgYnPjS z!W(<%k=LHQp|mxe_W!iRB=@{duNr&(L(8|u#ah^o_q*T$!2P*hhG3j_*cI(-TQt8V ziJUXPf1LXHa}Bh%Tz!ywU2gu(ga(b;8t8h)q|0>k15NIz4!4L!31Xlt+JFpaS4f_pZ^6f7g|DS%X1~uJ-Opkv-Dai#*cP;$lqW^iVv%=&;@d33y~3 zVs2G#N|!w`8x~(jzpjRO3x;n--crMo-tP0LpEA}Y?Ioo4Q?5Gd?txO0pYC(^4GmP!m;eTj_#{US;1@fshzbF(qieRuD;KsP!^dWxSC*`I`rl+MQF&h^f z=&zUccrQ(l;{0snj(sNC4+S#JZmi7YRPZ&tk()P1KNCLFyeuv(o=so*oPx(|nX9@R zb3Z6h^OVp51^N?|vs?LikdA$5?nJOP9K}5X{RVRTmBqdm^dt!JLkQZBk0S7XpeItG zf0F%)Q#OV@J5B|!5pI(h1}R7(80fDIHPobJ4ys>7fWL%c5*$DW^kF1o1qk@3N)hA; z%81TMFEYNNoLc|v2A#xR8V!OFzeRsZzC-a-2kfTFQ^)2l>;D#H{&xHF8`J-PEwTSy zbwq!Yp;F+=a5OO{@F!OBlNer25!ftE>AN&Lg?nUVT*;7|=6;FM+)|FMpcLp?FK(b% zl|_m7ou7w5x_;Zl)6vs$wqZwoz5%Bx+y!2c3xrtcYo+U-SNA-GuPhW4^`8U=4?kBj z3!Zg$E`x}jonM1c_Oq%#eggx=`vVAh_|S){!=m+J^gJpSfV$=tqQc7aFU&cQeKV9$ zOiZ=hLN2gakG(L<-0tc>v}4J8o~}}cpG7TB_v3`>FdHEayAh-K6SIj5(`B>PrlU-0 zH_?1YK7N*&kZ$)&G-ou~Ico|OlGVoIGsXzPQ*G4CZuqM)&TzUwus}qhw6D7>F7s)n z#XAbaE08yJHcBDc{@=Qa?!`C-lB|mlYC1{dbI=Yc(uE)|dg7(#vOIf9Qy--)5;Y)- z;@|iT#)$&7XF*!3@no`^pUrLwDiexkSrMNp!`0yvS0L1%&mG8`l4_iTtlg7X25aC+ zec!oymWl;eMq>_y=$jyCnmy|at}EwV||xq2)x+yoU-ki>+^co`l2+D zw#`utb7=ny4DJ`7&{I(GX1aR~>Ko8^4}<*fZG7TU#DYS^?aZPH^2G~|qxZsSd1nSN zb>!2GEiB&zf^=>t|C6oBzd0KJX88Q3v(PUHd%Q{Y_Smxyv9uCPRc znKYY2QikG7LJ;E<54wg5U-q^0>l-D_Lp!@My+6s)Mxl#!7TCTr-eHp-Zeafi2ySYW zBmgUkd_X&6m$*~fL99_f0&1m6H-Xk6OkJRTB;*9=K^~gR13lLAFpf;2A=os)Y9=xZ(&1qUabtxe0j3`HASBu65`|giQ zg=t@iXBmAoE^_MP=4iFfhS}Hig@4Qrfm{`Et^KPK`%k8|rMbT-u?;^q{#A+nJ4%55 zThOF9$}$cX<8QXlu~Aqv62)J_KK`^=9*rq90~I zgrt-0JM~Coi;TNKMXazmQqee*bC_Yq0-2d z+OrN@Id`#LBpUiMf+wE8m~eTrjlsDmWn#!v_)J@0j*a zQ>;~3M`-DBo8|aowQz8^XlNZI9Bl7{c{BEt48<%%b#mY82=2goU6Txu-tIBk5rJ`N zI^82bd_J2~F~zW8NDFtLSdh5Wx`Nh6fG`Qr&U@0LlG<{!#HyVD*U|LO*byjg29c>3Bvo_>`tO& z$?7$4c0vL@&7gtxUW&=Y5Ah35he%T0vnk)>*L(BkKpOhoq|jqe9>H$Mm-$_u4*C0G zgnuWt{WU!Nw~_n*IetZ{EJ(5660AsgG}d<74a>1@HrBvD;YPS!fGGTI$EamDW_X1D zE*nkl5jt_F?;+iFUaDfM+(0!vYQ=)vTcb_b-{w$efv#@y{o=(WL)_MnM|4Xvfwkc% z=mm#U+R*Mr_8pZ=@Gg9td*O_7Riy1yerxks3caK`Geh{ksM)uD zD{PLL{D`I1{7^Ge5qLS@QQ;c1`KRx0^v%fZJdlh04JFMQBxG`Zw10zMm3b0uD57E@hjh z=`kXF>0KX4ucvw(MJrqkM_1ou3cho2E%IOX@;RN&^7@^??jtfc(kN&6;VUXQjMTFJ1=a?eL9)Clkx7t9^^?xv|e)mxQ*AUtG|78EXxf>2|fOcDj zSVG_GIg42ET{63k-mbhKc{%(C@P~G53tFGj5{RIPHjX2C3)8|z=CY`5D|He7D zl{bfkdDw#!5lmQO_Nb;2(YkMLmt@#%&3wB2;%AELRP%1lX`y?6)RXw#kM6%7KwJj& z&#TBlYXFemCCZr@?O8=y?J0Bt+QP--JBbU;Q>42MDptQZ4J6*Qnj9dol``i4t0?hb zFY!eaBXXXT_7?NVhFd(2@r*1cd1TrpfQt&P;sL1eUO(t|j`Td~Hu=7G{ zk?(2nT2H*#ND!nb9#f$vT>bjKHS8YdV`}Z9YU5Z$BGHEWQmVD9XN~z8ig#$$iz*2VVifX#f;t50a*I3Ch#@)>6ktqQkam_hB7bk+Hp zd8^HBj+?^WlCjkD94onJ{U6*UJ9tO!63mXLnd;ud_nkXG<6V+5UwLos@ZR+ua=uet zp{kS#^<+65caw7z(G+aegP-I61r$jxCV7H_zs$`hn4}(RnX2_ z%;8}Xpvghtb%`ZL&Cn-bNmal2ECHulT=?}=>bL?+pfp|m7=Dy37LjY>z&h;w#5k{g zzioAcEa173sOk5@@}1m>hd#3Ex6Qx$D)J#F{y8)8+fz8IXu!j1&lL(tGIt(Mfe#{` znq9STA2C-s=6KTF0wxy4?-4N51W=3D&3>C3LlQQ@@8t3y2pn;=Ef#A4klv`+o=SrT_gC3moV{Yk)&7H9XTT|@pC za&Pj5h4FZ{zCEZY8HVYL+?O6{IuQ@!@Oq-iQe1Cb%?=w^a0tnoei0JsfM^&vx~D&n74pP~~y?)uF`We^^B=$km;&*5!TS&Ai_6HB8XU>v0!v z-WmOGYN|>`PwfihY%22PoG5=qxIzA;FIF`PStk%b=k6Td@xVt57a{cKpUF=Rx*AMs z3`ERiIy6Qg;FHzeMvmE1fbtW-9L^sQVK;z2!o0vzu_yy3WSg|vpsUrATQD#*2$KRV z2B%4v?gH2rC4O`YVJK>SZfp_xGTc$5>dG5Pib#K|f#J!_QPioX0)t^s`LZ0UI72j_ z&AX9Q(MvSN`Q-Y7Wib-mjis8#4NM>KM!AkTf_NBkHo9$zjC!J(adlmb>Sx;9?$46G z+Q&sqnb^wzOZ7Rqya_84`0>{Z6(VF68=!%G4p#^m<3pm-t_LjJzx7zxpb) z^cq>qpcZ#`E(8CwcOI?G-leOtTvBuQG=&*-TXTr0-5K~YIJ*7pHWYM#wQFY?5pWJj zlzh^}Ki-{>;OV?*XUjgPcx-qtU%zHd$S8VAI?wL%f0RM~-&hrhtHe4u;DP+7kT3qv zC`g|F9SV}-&lIG>f1@BF|B8bA^A4S&J6O1vnMVX~ATm(%4lC7SCr3fz`vCJaU|#sN zHRJSr3fGtp)O@%@7oADcmYo&}&%Kux0ClqSCT#zRo`{35s8_!s)$pK*6@}2@RjWfR zv?uZL_2cehQsf0NJe?~o$W1cZ&83@;6%d9iTd zaR8IF34%S0tpcQdqQ3WU+H%r5EAbUGXZf8{8<056&51XW@_;U*?v#q!mZ);klY zYu?V>V~Djy6Z6j$^fEI&OZm;Hn4C6@Lz&542m8~W-{!5hYh2>uS!B1`&~Xhx_CPD{s!fDfskbD`F{=NXeTJC8OA6uqlQwjg#d!`dvV$jQbuW~Nz9J?|{MdZ~s-;5HpIpb+ zEl=&7pth@Mw}P2Nad#wpB?mV)F|lb)&Cwf~vL@EN&Si|W6s?h_uH`9p^md7ti7{Y1 zPzabq<&@uc&m!xi=Ejz0FF^rGQ@k3)yoOA*~d)M%hd| z6}%Jhr3!U0SDOGp-LFEAO+0nOzM4yT)Yg0r4f^O2( z+(V1;z4;nC$#8yD(>_yT{c*M~^Q*2kyOLDjTE_Rj!JK%C6Nca!9_FcBV$RNY0{zOl zD-xFyP=%DPlxm~1ZDZXdt%2oVuY1c06rWQ;YIzVdm4=ttc3_yI70}M+3h@e*UdtW} z`&75Z5jcqJ57pk`Uu~Qxd(}yi>g*Y@6*uo+;cVcf(U;9{y-YvjjG}~ck`(bqsPB19 zy#?mx>_09PyoyyckQ{1FKdn`I^f>DB8|%z(6~bz(V?`y$m)`?*zqN-kU{`LVCBs-$ zFC;Qh5rxRaF+hE0f7}$&F|pkb{KR-ImF9cT(hNJxm#w}j=`}UGsyu)hy3u|*P<1?z ze7Qp080%BvR;=yjt&|gh+_d@f@YAeq<3csvsgA3jp}tI?w0mPydE&8CIDKLS)PB%o zc3HeT+S}OcoC%!|4_9rPfAX^53&{_V)}fh(5mb>Xz1pP+CYt0Kwwh&sZ{cU9kI84Ny_}|*<_3m@n>T#yhA4gg(9h0kVf@ONdror9+a~)>fK*`1 z2^*-K1de7(U@_*p0f!#w?c(49Z*> z;vBCANn?h)tS~zCNN1~Nyz&y5%4vaZ%5uT3x;@P#H`$Gk)h8r#YgMD~Mf>c_qX&Lp zA-kC?|HS0O?_sD7U}8A5Qy(a-0wgK`Z z=G5r8fl*#1T7f=I_SqM0Ya?%SB8_7VeN|R5HtgqL*h+k-ZGy7zs$P7KKuf=OcxHA^ zz3W3b+mwt;Nl>z;=#va7Y*19#hf=MLsQTt$2O}7N!8{{mXJ!Ga!{*aw42$ICckR5#F zUE$-HirH-gX@Z8)1~h@QKrP0pfUqJYwwjuzX0{vwtxeW5 zwCxjKlMHi5c$3)%2{q>z-u?|>E&i%0UXND%J&CSVmP?<7PJnatT3hhYrFkK|*) zCv4^L1MflW5a0NW!fQ@J!Y9fz+Sn8lHEe}GGMF3eGU)|IpPif_cQn$M_DV81vd-zHfaPsciFD1VC0Ru2bwl;w!mn$>t&EpM<4y)v}{twDS3X?vqinvGG zDZh}OH*`XXa^@WbkZ4+~pq*M+>rXKH`Ui){X&FV38)m8%BB5GG53ihlpy^{wj+F19 z%4Hc23pLGp_>_<}e((`;7oL7^^67fb$3~ar4tLJGA}-&)EJ?zi2v^={c|CAk_=V;b z4H>Zo2+S7d!;ToE<%zZOcrMKSM9z{fVbT2X3qd!zj9B>>G`4aDtoP-DC!zH{(A6S8 zAXPoX1jQPR(J&*&2Q}x8;XuQHk}ZWrv~Kyf>F4qEsl#KQJa^^pAxo3OwDtK_pm(%M zMl@fJrhK_Ot3xS+iaHT6{99cM77Xx<)dwiRsEXp68C-hCg~!&`gXDmhCttm8?muE-jTDKxnFx zQ6y`wFk>YTQ+xAdmV>nkmq)zejD&}n$PiTXf`!h$L2bfcm}<(uFxBn5Vukn4Z|s24 z#Ny4-Uyuo066<2)td*&@82#WHr1(?Kstl(@HpJ;uadQqIdF(yK# zCoCfUI<)mE28QQ96I)?Uc#b^-cVvo}>{894Em1vE>W_U%Cy_#2->o@T=0lDIm>>G3BPwKvcjt&r73}{Ib=I5^ceNoMOtJaw$@9!uhaf+=JHPG>FAsD%F`&oyTE&2H5>Bw= z2S3``7X;(9#);Q}aa9TZ5{(JigaYM}F2Y$wx+FAHVy390^5Q1>^{=)V<2rZ`N*0d!c36E=$2 z1x%{;f2!M5_+Qm+Zv5sZ8b^Q_b4jiG7!uQVIUip=<7f0)ySSe}Y&w6mLnfbVz`A*# z`6$>q;}r9dj;wVIS;LCk3tYPZ_DuHjpb%+v*r0AKUF*%_X7!fg{%p_e*Kobsi>qp) zkw!fiBlUa837Pn^K0a_0S<%yATQPeN*YD2EWHMb4m4;1+NN``MIeH!HxB2BX zpk3hEw3KZ6i1(C%RhZ3fjSLql&u+>x%nEC9s*UbGt`^{nYgF)5W#@qJ5bevRXQmtL z_-+k%9Of|4U83^xh1n1G$YT0&?t5N}AF!&d;=yOlouCX-5H2UvIZLCc4NY`j)7VNV zHuToWOS_Lo;(S!@*6cbuXZ+sLaSPyrrVh9{yI2)uQIs;n;wejSiC7y-cpTm!r!KyV--tw~)$fQc~Bmx(|^{3Hv6Ve?KLqi~$x z0e|0JpvV>nK3V-q77v=e53XK(1{`iu3{=n(pohJGe&2JWNGTI3QGTh-d`8JSnYI7J z-g}2NwdVVyK?Fpa0#X!-Ql(4pL_w)yM37z-R79HeAb}uAZvp~RBp|&@?;yPw=}jP1 z=?P#6B*eSiQ_h*+nR92)oPF)+GT#hm zQrGi{Nn!JOs9eTH~^b;iB8&r}QQ4i}fhlRevzP=b- zkh?dXj706OsdyC=SRn;$Q0oTZ=hGT*4T&Ac0ixmLx}x+Y$JeQPb9K#OuRQe+cTv^o#b*KS2Tl(!L){oFBPPugpmAOn-uTV8em=hCwX^VC&5C zhVKWv+L{~&P)W=?)f~hOs4n|v!Ha$28n>OssQrUpcR0H6R84ne-d&p1Fxew?m^oJUD z>sjKI1NFvv*Zu3$)xAR)YsJz*y&EPESM^b7I&3q9lt=|zU&Nu2*lx^+hBHS%)8V;P z=kBoaPf$Kyq3QXY1AZ$t#Vx-`c{#!a{2KW3WZ+s}i$l{QOU>aDV;UtA0t3n?jPDs3 zv~06G_yq#^JG5?4oMm(6EOJ>IUnz8bm{huYVnJY>{c>4w6jq>)W6qj}b*{2nH&@sC zF-6briEGANKG&D!rUGks74a>uOay9ODE4tC+`=tmD3+idLAZe>EdU}yl`EVknmuJt z?AB{x(}{T%y~A=g##2y>9_o5yMvmovan2;NLTv{F=y)zr2`kVQ5pI@#p4{cE(wk@+ ztEQi+5bu&`er`}juUdX~%3u&>=x5R_bY4HYQZtElp&Yq`DTag5SKyquAOIK2juU;f z>^JYpB>Om2Ul=2u$W}T)$@MNWEqvL1m{G1q^@GZV#Em8Zpyd~9a{}>mBrxD*;gY2| zx6|~PqgTh2tE|kn4f+$q9V`hfvz+2qU=Nx01_7_nA6=vR_s&n@attu{6YNne!VW)X z!*Yr3RlP&;9qNU0>2{#uLIZ-m)6N-sY~M7FRiI3j zURd+gb=}8AG_2YDM=$?KkAn|D2{ z$H}@rbIb1ILuolI&H@a&y8pyXllWI>8r$S{HQpGujy0bYu^!&xn5ejF+Ua;W8}#CB z1e3A`b((bCHEPwJ!gHwiD0MeJJ|WGv@iL_^4X4eB=Qcc!^d`i?*Y}z@+-;I5u*dbK#o8UWJYPk zu5f19XT3YBZ=oJ>($#hU^#tSR0X@k$-Gb8ughL|~3r7oQpxfG&=>0pDuGA+PEd}h7 z)who3(s#~&O5_f~e9XFiwz~iJ7l9|qA5i-1VZ;$2!cY*$EVs+uFF-khreNeln$kq_F{zFO+xWS^zk&q1i6D~c6>i-tw ziTQsN<5>bi%mF*={RFp_B_AG-uTyx#qe5+~n$3TV2vaawN?^ZY&pkW1*}()f>$(ER2SvXTm^_bsk@tEaEE3E%7GnKFr_0GVJ!BlyZN6U;gim{Kryb z{}Y}IkZ0rzl6CScPtbq-!UuryM;9m&F99OO0(lb?t^~y!D6u2Fr;35qGC!PGk)P|r z);|Hh$*%td-07PZn47^WJt>M2JugV|TO$^4fweoWX}adqPoy4Gph88EYK<2(EIMMrGOY2uF0xp|uzU~}fGsYegy-jl7lzEV}EQ{QL(=)t2gCP3G*knR?A z5KVDeOZ;t|8h+dn*|8Ge{X?cXDC^Bj*CyuX-igfx-9s1bK+9>ef+fYNO8HOF8|*l) zI`Dp`%jQKh&tC-D3`})>+!)l_7O|*)%&;i3t&Q4aBZxv-;i?UdqkBJcXKc^yOkcF$ z={}ts2~wT6*n9I%>f+prPf!Q@4gJ=ocm}%sNW86U(!8AG+_6He-vkG;swBh9hi`jm zP*HhCUSKOsCfnq_pFzYkXzexqYhrk|rv^KD$fW)p?N7fqXZ^k`KsM6S9$Ot(bUrRy$YjOa#UiFPUh_<=VdUq z=C`cXV5YQbQ938tAnkmIJCymOm1t0$;knMe#K^DlGHEmwI2s!)W0fhmv(kMV!gjK z^<@Qfi@8E1@-khp58nboY;@c4In#^}GFK&6&0c(Z;Oa^57Jf0+xOl3QrHUmcBTj;3 zz-PF8$kq)#;br|I(}F>Y_5QiR=seQy;)bS_t7eEIT7_QI_ehZ+d2v5Ml(hB37Qo4f zxI(bq%<|9bhnqUVg1{b!3`F{?9z?_%0Ai0IN<#E=2wC1Qa{!v)Z=V5jw*$m)mOx5H z&|{UYN04MR9ZubC;rJ&g`In2&2u#xhr?Mp}gz+IS4k_Le+hP*c@D|S)qW>%=dX^dF zKj5-_6RqPOQpLca0|`SbC6vS|E&hSUli!68_@6LpKsk>U4HgXoDlD!LY|tY9@Vk^X zBb5UVt%JLg?%@s0%#>`QSJj_!Yp|ZZI8&Y{AQ0lW7|*kXHLb$VLYsM_zBOP%j*ux8VDeOW7{y;YpkUOD`ANIQT7NLoEWpB4d7chlBF zc~CoomO%Hl`Gt_ywk^v3wUeVAlchs-d9QDU2?+GTaNTK{y)rhx#LD)CE2IqC(j3&x z)+B%=gKJ_0VAh%@l)LfjtAVTzJR!@E{A79cBMb}5_jBILTx~0miu?MJ(KD(ONrv-4 zEp$NXah$DkBRGGxue9$7`1Ro$H9Ck#BxRq@kYPwBcwTidz9sUV5q z7|*f@Dwh{RRn5%H{RBxiah{Mf1X}s6#t#vQW>F7uQHy50OVGCtaMt2jELG1A*GDx% zMdZw;Kw#9AI_DJhv9rLJ?gQg#A1Rp{g63&mb^|^&{#m@*6-_;B^x#5Z6Vw%6jeiM$ z7KX}c>n4J6?mD#9OD~eB)dHljRQu{*=<1tKA9^`*#+3{=h@+ZIteAL;OLK4se8QU( z)rtEJ_DIbLnUS2#97OB9+R`*j$wn3f#)wjH`ufAa6NUUsz{9_AwSRxj@6XE`*R`Cm zeY(6CDn~3=3@oq_PR^U1%F3S~au3q>GLr6FX`$TDJix>Zisgh~AP32L>n`dy<{IH5 zrycE8Y?W?~z|~l<6HV+Dx2KmKAQRHl$&L=HP-D>ZabDO=iv|_RnBwFe?Aq=?n$XGh8LQ&;j4dzEy$RRD#c+!TFzldcC(?dB+@i5~P*Gb`f%d|=s|CyG*Lj6J7t4JT z%}P%TsPt;1XHnJ>P3*V=?J=gM&VzdiZLgIge6%#nyOd(e-*A!I7-&#`W65LLO9FZ9 zkUsOsvw(}2mxT`~r1IM5pF6v(J{Gd|X4t^|OeUxP-pMek|At&eqD2P{@KJ#dz$NsZ7h(Zu40Jp=kTbwFL-y&m>n3oB zOT_1qQ7Afklg$YOal^7M#;@g4E2u|rc=ui#D2aeIImw{yfG08) zz0Z@+fony^05)<~*{?h2{cF(1@sCkXYLn0>n~S0Q@I zGw1mEW5&cMsxA0l+a%M8nx*jp$czPQ@@L==fyx((UlIjFllvQg6+iFpnjR`I)*8MVf0_OT@}T*dFGkp)}G?; zzGtXexNgk}4_DP#4&81WJnR=0IEq&rg|Gm=mm+U{E}jM|&|nH~e_g4@_*A$qRGK9x z2N~d%HAgI&TY-ayI|c34ql7?v?+z@k=Y zS6JBoadcLF73|Wx4(f1^GRGIef?6O$`d2iM1XY}P@{gjvB0@aCWzQ4vV4M_`%|4!^5$U0IWUI80c>F`x^u#<&B#**s3GLh@I3PHe*#0n&aY;$I1Ze7aas;@6o%?fF;Z@-YKpE^GlqW43o7!y!JpvR+_!+CJh zOHgWym#+ifhuP$A+H$X8X74u(ggn#wFeL{5;Wy8bwqkYdO?Q@bUS|3gqzG{iQpOX2 zCO2bPqHB|{6=|SaO5g)Uw`Y&IL*-;9%**ZyK1t${wG$xc^?Q9|(oxxoalAMxr>Ggg z(QVy6O;WlFx5t$V?FG^A_Cf2$xGQRE5`PGUg*``<3;r#szc=gox9GwfT#;>yC9Qin zUO@cmSqbb43h7@-L#I1p-`?ciK6%mn+}t+vg?iID&H!f;BUKX4m6p7Z8r*poGMI)s zz?We!ms?VAPQtHxTubskPuy%(BPE%i&=2`Qo$|EUDd|vWh%+gNx{-W(pb--kBc;n!lzPia(XhmUU>`4B|Mm2TS7ki3bt*j?QMfb?*OIc6`x*Ml*I^KG|d8+Y+l1ub@?g1srGdu z%kq^-3TG!@3a&+3+v5ZZZSZE5#iqpa9{~LKo6T|9RnqHXan^?_2&hFD`Svo zO>E-&&EKT4AV2>{B&j1htbJ)CCW^oy-KE5a_PY{c%spWl!_s8Ke!C2nK{ZzX!Ov*)8tK9V+#C39huifVUx||ONPl~w} zg?o)`O+g+f0Nmmcd;JDn=U8N7$viT}0<9C~nSNT*V9S-OF=HigG#SLN;45~7i%aq$LWd^u8kJX2RAljnLcP~QSk`SkqDf@B zO_x(Hj)xR*Rou+kMjj4THu1slp9VBB67GyO(R88temJGgg~{$cRAC!<_2I0lS^pr( zqPX0yg0Cv&dd~Tg*+XIT9%jU1i3|{%M4_?~>!Z2=o;v>Uvx(SNk#@<9Djzp+$~=V& z!-nhHB~+csm7~i0YnA-D=E?InNX;hic60@I9h?xRJDzEU&oY_4}ywjFHKkPEtN?9gewqtiuT_^X`u_jGH~ifvC`0=)%MYce$I zR7)4JVP9k$KFx}XRiefH1OXBRvrCZE@T6v9e4m+?6(jwZ-}aqBo-X5GI712RK`?R_w!vaC3)_T*Ri-Q~(x+e;PdysOE^sanv1sA*5h9Yf zFX~_E&1Z`G>o; zbbt)2Cn~&ZiiL$r7UKn!^*uCn;yD`Lt+4Tt7QZ;dh+%po6!TK&rTc&l=Ov@Jm=B4* zT)wE!>Yy0$8DH5QlO@MD5(1}G&~eFnLyPtZu_@U^g}m@{PvJ`LizF>Wypa_o-{e1C z_jsI7uE7f;S&$%EcLy`TMRReT2Q63+N&zFAiKH;I!qUom?$vf|&*d7&CiZV-qH`pJ zw?NywZV?=P{rG2x7tST>5PEc^%Bk~HqW#pav48Rv=vac%4!Jm5)8^T79oaUqOu+hj zbKZ5Qtp>`6f|d%2f;cS`?OQPOHATyHjj_%+4@c_Z%+LMhf?}fdb*mSuV5^^%0~H=n zyiS^k;wB{B^B7h<)T-TS&wYM(EB=-T$zCYvS!84SW;LB{_NLU4i)#Ax^+YZ={qOC3 zT%=RO6oGKhv0YbhC@M1Dx_Th2eW?0X_i=@{I=jraZ8@pd$El@$QH5Y6kqH{yr9yFv zMszk-zwbH$oB))bt;axtAFd++YsT0KIy@Gj%WUUc0HuWflAWaH@#b#GfBhFo6;O=V z2PFEY;L^FKFYCCAPA3+m9&uNN)3QV&1K>pAr0_y-B@2^OW;yCfh{`A7ZSOxsV)D-m zowU9AuS%1)zmz6Te^Z(?sQ9bWg0FW6j#|26f&SNAogHP<7l`oCjy`kR>makp=XCFY$=0M3B7&G@Vj z+ZbHL(cY0JB|#M{dx!qsF8ggp3cCVvPEgvLZo9(?3B_4)uO2WqpF$+A+|jPOkB~155YAQys{@EjJoY&I4SsEwRwX}rJ&fIN4Z`iUz%|@T$^c>E*cToZ~==~EUwyI zw){|(WE=4I3gTvWDU|Wu{TMsma|^;Cke}*Hew6Mw8GjO+K>*-fY{uDYQ32$&;6rHO zM3P%(ozBSUow9lp!v_~K1`cAz{1!y6-4WmFkPaGY*@0e40N^5#iTFF4hzbio4l@S* zrZES{nDK?3n}r^-bdG%OJ}()$4N*`GP39Sqsc(kn!+4;a4~T70N^aF#u)vlV9|dMC z(K}yaZs~<>5#P zB-`NgS4dB@MH==hs93ms5gEsnvZTSj}v!%^`4o8IMs z(#F95skCA9OKAfJiGn|zm%$7L6JAaL5F@2)V~&!fAjHi(4r`uOj;*`1^{ih8#ovrn ziOcf;VIK_G%5)_aG0tUPfjZl*GVQhE7jy}RdT`k(Ll zw4`{a(eWN3y>bR_v3oCBP}-()VG!*kF!jTZi4urd*mr;9x1TEBn!iLhd@k(vzo$}GtI|p_Z3m3o18@0QanocvY z1u(u#yUBJQG>ci^-XBrJ&_PGwa+6#3i{8BI!`9bWX$GR}xo)-ll?A?-`rOjPHhcyK zEQpfuj}0c-Fbeh9`=dXEm|I7*u9mfb+VxgC@n{UuS6OZ7TzGsPhln#=M3az5ppEVC z3sE;k6wGZLnTwQ-mF&1_X_>Hm3Z3bN_2=2!xd-jW`AxCj>R9ecF;v zJ)fXEd$kq0M?NjV6i_2JQqiRyIO)#}!z;Y%*V(-$XYqRyP{9#~2#ky0hOK zx>NZG_l#F&Q?>)d+X+4kzdJ^})(Z^ai;YsO18#=Gi=5M@P4`$%RjwFro%#9k)1R`I(D zOFMr;*A~TWg3HkyS!hj=B65r>=;Uus61h39ldUDYP71MU-E`qhq&KwM*F;IVgPxLR z;-t}G571h0j;5ftg=vp?IsF31BF)@_YcY$;n4&h)1fILx&i84ZLP2|w7sCV6Z4WZI za4Be6K#M>%!z|IRNT7VEU-#AUT0>aW@!CRkNuh3-THC(f!>?4U+NTqQ2n*>CO;7&x zBisCw1EnbR!!n$C`^}bfFv#9zTz|)bcKPo9lyhsBq1U8DmAwAZAIIVVVsetDKhP}X zzwBQm>K*cD$KSoTyJx5yUU4p)F{Adj`k9ZuH)_ZvIoQs`g;ln`Gvv!Afqpm>bd8bv zt5YV+fO^rZ&Kp#Qn*U$gE^qu*Dyz)FPUMA{M^6VQt^&0Xn_%d|+*5yNzp_l9|=-q;XjT3B6PMce<4fjCi{xxgg z?wg%rujysF*L>wJ|9XFCuU+(?_f;6WjZ;A%w8>Q%&j)2u*?#x1iycfXt$BY&xv0}`+t0%2LU9w-L3zNE^~6J0 z!YcOviO{Eje0)c@}59f%sXb027wU)cHC*X=XrWSoxww6P7 zoo9uuOoHOrR;V3B>5gm@EsF;OZfE*DoU~h;?il0O`fZ)jH8ekkPW5S@=D;PFEH1uO zy6H&Oh1&X%{#b}<)$D0_w^?F#*b7syQ(OM=T30o*^ZZ@Imk|U86O=(HFR>2|={n^# z7&m3O+8~9Uq{f{^#$Q=`@?}st<+Xu=sB>8D`xjh8Ll#kB5`q_A0k>&!28U%KV8cy~ zzuoHCDc+fiqrcP7_~WeDXEODctCU+=kF;40a-PGw?hB~bi}p-Y>Wy&m3(5yjE3b?? z4|`bZ#quzoHGITJ&By(inJ16i(mO-(plzWX(H_MBzX$|RFRscMl?1p_&deizX-QedSNelCqhn^guU(zJ4Pf8D*(D$37NVoIM$x=8~v{mYx9LlUJn^FG-ksDAKW z=;pwP6Vetx&M0LzA})_a(7q0235S+u&dNFBjNPq^-X;P(0Yt#-=BbE2#MYjIvFGM{ zM9KaIxL$b|0S2@*y`#{X`v%^>#PM_2^JftjP7ZBLcZ*K9nY5mNw|2YL(Mi4>zI^FY zS@9$HzKj$;d4xsu=A~8k#Xqpt3>2<@hbYfK!x13)?!At-#zx~7FbHfE&Ljti@0d&q zL^3sIrFhqB}7W{w+Y_A)LD`B z`I`{k1spS;lW-1D!rKGGEdq@Wk#C5sb$mIkPm`GH4233aV+BXcp=_e0wITAe?xez_ zkN9Km@bjj_IDy#-)UjPL58>=+WS|=j-J|-0YonFqF}ri7nj~GZTnY5M&LlU4EkVmH zJ?E`vG%f?W0DKrKtS!PHS*h=jHt4uNQyiB6vhK0p@(1ntWN+uvU3praCW75cWoc%6WmYV+h>2>J0z<~@*?*P?YDog;p8YN z-oqOw*6z`1X&>?KrU$ukj@f)a@4bD*bQo42Crj5Nus0KgMW#BTZY13;9Zio>Z#dLY zc*7|nST3$1WfdyKObzk+|pslQ)Q+$>)J01Qku^&Q16vxFb83Yi8H^j`%aAx*T z{QGK?=*kE8P1X2L`?3ivT{O{MwM7`WT1#P-A`HYIv6uv=hD&=a4yc$mViLma;5EgP zRBDZOy;tvaGLZKvkbSFoeoNG^zb$2%&+t-IT?4DgcA_<&aqDtmboQng;rjc*qj&d4 zsixV?xE!W6nC>0-W8v>RAz+S*+d-nJ=s}f9)(?wYaRZHB|16+!^7rf3>+q<#}h9h5O63(3wY>)naj1>3X7Q;5-=NMofIyVqqzZWbKdW zjQcf1vHU|T{avRY(EZRfo_eUnnD!>^f!)c)f77^iaNi?AR$rR0l%%hSOaWnAh z*{v4rr=J!TuhC~W4R;C;G#3r+4NyH2uCVj*GSF2Mlsq5P`o9RZ{X=UIe~p9xk!Bvn zdUFTBxRdi}7YP}@yKJv^f5MgJ&{IJ+vyIPCSa|I%Q@C2iG0_FZuJAG6W09fGSKNmg z)&}STg(!ICSiln6rIPL!)-@i=rA8~|2&hlI;L)oN)0S$vkbAK^Rxsz)+4$?Fx9CQB zFy1*|kY`{+k1(raNr9i4_8x}mj4xB~ZSN_F7UEvYD~j=9r`oIajcv`^zuGHVb|3Vmq|$LxaQW)i;7UsRFw4qeD)lv$ zRSg)$!4OX?m%JW@D95XnEn-(8-TOOBVt1k#Qytb=Hd%a04n4L<3Xxd&Ip7o! zeffSzMTf0+-7W0NwtmpPaki}YPG7d;C#6W3yI*|SpLk|zcCtT} zMk|AByNBLufd)0Pp|cxd2LtJnqw@nL1J;bp`V&=~*v{LR+Iqx9kAlDxQAO0N>BLt>2wS2f-yTeN$^~zFdJ1J9W0#x|eD%HABM* z9W$QTpD@at8Bu(vEW+{bv#^$5Ff9dZ8l5E0Wf>e&cN95t(2>er@pU(2{D+~WnV7e+ z4*%4hgG{H6oYRl`9MOf&Tw8o|B$fm9AktyP^F0<=NxS*Y2|O3udL#XD}5u00>n3?tTM z#F2*LS)uW2?GGb93G;jIw#9c(q4x+u6+laO8+me}_@2v=(YXKINpX|R=^vZ}|Kp~@ zKS60=Jb9oOmDc=UMH}+HkU*oLMGs1N+K6lp`c1Xr$=lbL$D@x+%)C+}<&c%gvLiwU zWNGrWtNAeW^1&8l{_2KJIC1gs)D1=dO)LNJ=`j3b6JT=k%qX1LzTuP)J3!AKYg7o3XvMQ4@wKdTs8$>Z@ue zvOAARbQoXdrrp>kbL8$0-;fvIUcd=F=;{)oTqXu|0}Sx8wOX`yM5*&IHfp+TWW584 zz6WqVl)&h4RWoDo&WE)~k;GLu!}VuWWAVNLq9ckJk?8dGYqJ~ zk0{){*4L7aQ5t`4&gvSCtapHzDBFv{`7e|9nguak5)5{yBB%9x75J#x*u}FO)$w#`eRg94iuQ;1ZU$nwP-N*pg&{pkqxd-;371f zxqpkiJZ@aYYL$)@m^msw6a>lfXOj&ictt~)mrg2qRm@V?gHYDX%+K7z%cjrhmGN~OlS~Z3-^(HP6Q_$h8vZ7Qe^br#!Uv(uptX6ZKROVawqW6uCyIk6o z-;iNR3vvTM-##YD*hecf1$fo<*Mo}O$xKXaZ8bO_%6%4VABbH@c|hS|ojp5a=_thhJ=chLfBfnDH$9eV zZVJO7iH|opIt3Tc6+b2IGo?^8q;@+>qikxis$-VI#8Tg5vBK)zs9ZjU}hv-ssKSR-_<(bBkRF<32cp?*LN?iDb~X5_uAwt5pE^7tS9A zIl8eZo-A%1V;w~S;srqV<2)}{7(E@@|9?@@~V%&%`FND&ib9uh(J0*TgEBS zgx@(|u;W9fP!)@ZgaM+yXqZXc#C|5)uro$gMSyzc;_#2$c;U>Z$wlrrS>STqMu6&oEGOqorQcwMJd7ZUy2{9~NA26=X)OEh(V#X!>3%6p8gD{XiHf zDR&pGx3wy!(+ug{$S`(Rgkp0~(-Ej_B_0(FGoF-qu~`7>*R|bji#LY{MIRlf>M6qe ztsGglh8R@i-mP=4wG6xn39ZHEwC>H4HC^!;U>83981=UElY%am@Dky;?=yt`&KX2h zBo5-ScHfAlE-6mosh%SZySC?(*hTR2a7#zuW)=x>sFjAcldFr2tpVajo#`#KsD@Ni z*MnmUn+^XK$tDi=jgPXMc0K?!{p!#TE5`C*>A_cqTamV2UWPmI7K&JtV$z-)cjkAH zyWzsjDNon$Bl$mXz8p#|Q2s?W!)sw}PfL=q9yqUMi!&l`I~(Rj&Qir9usRO+=;%(G zIV{BY9PoXk>^}mGY06)^4CCtRm;xUhC62+s?L~_vS73-v0Y_|k`b(xHU*G0&lIZhjcqO_4owTzthYG+PJqA4^U3@A88%v^rDYh`rLXqxMxZzta^ zOKJPZx7+wyQF?7IWS8^1WNiaYe@!{S^}bms|b7>kaQnb=mu1-QK%cEHLIBNfXvNIv$U`oSmF zFv5-CGr8NKl~mh2lLTe&e7n;Rrxne%LKKS$?b@8E$tb0(Hcb%pL_wBXuBSn=Lbn4= z`*10hgl_v*DLHw^wb+9TuVii>vZV(8c$PIZh?x1sVxMdhCMbd_6-ZE82ol)CXNJ3< z{2nD~pj2r;XLqNoTh58~=4-jmF_u-|yFuLV?{pJ%hLjEMG%nLk*K0PQpY2A`g%ZFB zu2?0cL^kF1_($j0SlzqR*+`nCRL|~9#k6k(w|Ol^m_gHXPMe#pwaJ>R8c6Z-FD72& zOuL-XQ(rjVrR;vADaNj>`(>Vlwn}i#7gkDIt&2=sVY`yCwiw=Uf||(Ngm(L7QYs0J z*LDH*ce%>onJr3-@Db5B;cftJ=loRega(queD1UgyL8|%q@)(>;1bcEVjVv5b*vSu zw11iaacI>26Meg@U5UZJ)BG2G8};|-+gxn4HmFhSyZjTwn7tYK<-h>^ZCJ8e6WXzD z7D76^@wxJo@y0BdG>u^LII`CdWb&B=>SJsCU^0G9Jg+Ef0z6}|R2|-Qk@zK*8QmPg zEk%^U_#{|=>J8#>4Q{3R`kvh*>=nm*Y>XzVZFH@m*R9tW?CZAC!*=_j)|3BL!qwk{ z*Z#{p=O2MBMn{D+W9uA4e3<4JG*(+vd1752r&z0weOYuFo2b~3LsCWq_*Vcs222n@Y|orFb4IMy_>>V?z*k`=jX)ix2@LGB`H?1%PLb^i$zLsOfxq*$ z+en)DSkS(|QFi=2$d>J*fB4av+JfPa($?Vit@O|w9UIQ)Wpc`YY)R#Jks1FfRt*1A zunV(H=6KlJXKM-WS8Fxa5^uAd_^AKfPjGpp<(w}N@kxE~2A{-(ow1-nsW)UGN0>po z!8{#CHG1irkd@Z}{r>z3*?Xq&K6{SdH(&TQ<8|JhliB6F&wY0a3!dS`Mq;XWM3#!= zJBadSqlF@_v)rX25>wfsobeyujyma~}(futnlTY z%hhI|%sA-HMBtM@_V5SiE|djrXQAu6AXN5B*9a=5u_iSWSv7bC$cv=;8`rDjfIL5* zHhggCN(>NGfzte-i%r*I0pYF7yg_ZyIMr_q-|qeh+x5w4Ws?pl2*QrXjsDo3RP~lY zSkXO#<+v>V%X# zo>BrtFmmaiAVRbn;m-CR(GRh&j@ak;3DR?JKK_C0BeW4&`mlCCLFtg6AbublAw+8t zIea{Rf^I{Oxgf_E0bLncYr+ZP*)PKb>SuTWo-fV25E6!9Gj!HNF%UhuCq zP?O6d2Xr_qk?C^cTi_;hEq;Rb?~33;ju%eP0&n9T@Jo%DyNW#6!Xz96`t}Livw&nJ zf~Y6*6LicI^)~}mPIdYqzg>};$kO#U5AXBejb!*W(jItC3IM*Q^Vbu_@cjg}-yi%5 z`p)|k#1-@t#3AxSP2eX8X%XJs4?%@DKOZ__0PZp!0Xzv~^Ahhm;t=?Aj0&Kr2|me) zM+}v8TC9Q5off~oCg3g~{CfH%$lna4`=KWI=Sy1Ptib>2=`kn&?MUdak=4Yv2Y{Ox zFdc~MIe?_Fy!=m48j=tLCImN+vy~9NeZ+o(ZUQe~>~Fp&E}+a3jQj|E$xxyO9q|rg zGt%fMNU50>@d44s>NC)M2t4ho@^3HT*J}GuLm}gA<$t;?;H43c_)m}D_5Hsc3A`x8 z^Mwa=VmHh-UHutYJnBnQ*l;Z?NFKbi;yBUMti{$M| z9dpxxDpPp!i09LXwVfzmr(ypA`*>VslCtSk{@em~+h7%}LT!C^b<}+DLivw`V`Q+~ zsh$tZ-$^K_21WHYhLCZJXY!APNJkVT(H=`B;T2;O3PLDFE#1*o?uScMMwglSU%59) zrLfb|nG1AwI5A!RXkjI5`~B35y+{zrU>sG~EKJNXqucJloGkCcuIPaGRDp9@nWLey zbNb$oI7dRf#fqcwjXe%MLsbarod>)A?FcfH7y{3LK4Dmj*;G?!Ty4P$OzV zh<7%lDAsh10oHv_2GLp?C<7b-RjD?!v$*80%M@7sea9K$Z&X?Y~wzHmc8L$w$0Jp>qq4rn};iB$e9V(0TkJN6?XNpt3D6CX3IV$K_ zV-oA&j@Jt$84o(+D}g|{5bk|$N-!IPlncWl*|6-%Ru85P#^`x1!I2KT$rqi<1tD3~ z9Q+7(%5O=a4Aept_~PvCHe&kc>4K^fnz%;`Q4_9;s>HQkDp~V|Bgg0N&$7ur-U-lGCKvNDe?eM>rs(wc=rkAl z+CV-GM2dDBUpF0>9t2NS+VTRa%>&_38J3`e$x&j`U$ML#8v;8 zI%x>`2HC3J9A9C_{l5-2`e&%EBrkoU2!Dk)(lpgBZ!DwP!{maX6*)5^EBdSt|6~AW zn?YNzUTpl~ZH06M74kO&usMrzXa~!m4ZvJ~GXO)BMXxIaKS+zY9|*u3WjBn6^9Ju4 zUKQCc#dE+Cut{~}ZY+}ZP#TzRTL*c%_bY|z3*Ci_YP1ie&ufX--C$cuy-}q5&NUBd zI}P-4B%3I36N7+2su3n1a3jCfoe6)cdhNWGd4 zRLNQqQ`p%hkL{jix*2NVW5)!3NqULBGRlWeIkQ<^;-2{iK1X47601 z&d+t~0N_g!sIh(IExF+jcQln5ot;K}m9|d{0ViR91SyeC-rwMSbif}a zVE3oej}OMDQw36P;Xjmv4I(DYP3}8}>}bihKgD=CAB zUi6Ow)bXm4V)cHF9=y;eTp~)7D6l($lK_CEJy&U81gNm8;Y|VnlT^-0*UDV?FB^$QjWin z$0{B~-EGM6<*2{8LH~c>-@o7Azvth-*T=v2mw)fifA>K8|JnH=O}rwHjm39$vi$^2 zDYXH0(%ghVS+)eZ3~M5=OYGm#ig3A0{!v?zlc=_L{&ddjOmnOyilY15lFzZQx%*xo zp=t8SiBR?TQb#{BQ_lMrJzht?^$vIBJX}Vp?aVGNkP&2t;ov1Y8uQBC5SvS>cyY== zy*J7NAGhC%lf<(qtgI&ym?3B+Ls*BxJ?@-O+X)B4T^q+xHq_@sA@1WNAGNt=%BCAz zkV`;lu!BJXMRD5i`@-LaCCMY$mldfW6az+0dosEN?s^}i_C)HNbaDF4r}Z0acqHPz zwRpRlp~?EzikE0ND;2V{>A6CWix5;pbstx>54rRcWT#W%>g?nrJPR2x^#+;> zLfL#ZLv?e)8CqNt<$tcB^?inU^IgS0@4j;+t0;>Xr z69$5cZ(h7&^T|*9ISK7?%Zo4bg)M&jw?Uzxk~9JX?is4bvUcR~u2yi#wPpr|g8`8l z`%kdz_WRufRWd7X>IbDNY&X)V#Nli>dzU55a;>Y(tT8i{$J%jBaKs32d^I`HSopx( z%XPz)_K>61uMJaNM-QP=i1Zj}1l+Tj8;RYE5P6d1 z@-)0Ot1?r7tl=4Q?fDmL7hh>n(l<$`NjCz|WXJ^CY2t#NjXQ)VVqL%LAZW zr4gE%t~2tEIDH~pr>HO#?>2uRJ9iNOh~fg^Hein`?V$&}F%YLOA(hWto?VC@dGVSY znbyK}*=MJ$YHe;d(kXPceTiGr-5vERKeFq#;m6y5Z2yX#8?TAzsU_(C1eNLn^^OtN zd{nI@-O9tpY|nnab3mVv?w>J}X2jfYvz|wgBW&n^EP%Ng=okdlA)*@0JacU@TXipm zVs2Jdv}(T5sP^TuYXf_}uWoc1_bY#1G5sso(+eUz?MVCy%6r`hIJ=pSJ(1#XfDR># zFu^jkheZf{Ih&L2by9g;&fknW;g-AUG7=Xx{7V{WuMNxu z3tJu{2o_xDt_~vb+P+F~aptT^+GP#|&>+Fz)-Mv|8B^$MS31VmRBPO<))!{Ix?a<@ zJI?rbv2&sOLzGg=Tb{ z_m%&Pz4wl4a@*F2gPF;2E;Z7T zVrbHP6{IB8K#Je1d+&4h*=L`7&c64K@s05t_b&$~dCOXJ%{AAY&wQSkl~_&f#W$A2 z2GHSf_3P8Gw)NIC@SFtRA(eA3;EItANiQKA>MA(?C3U zK=BqPQp|WIGcJbFswRhdYF$qHbATZRy8mEsmRJdR!LgBfV$ObOV&xREVd%jp?qlJ zuL^b--3}S+02mVCcM#+OE`1N3g$dS0Y*N zp3}~(+wJ>Gk|ZiHhI-EZBZL{Jc^zk&*_iB>KdPtP)zEXmv#50?uV-`d!RT$14;Hb@ zuv(Xn6>sm0P5-;T4P1{ZMFJuQA>TopKxH}SbQDP&D@)RRiNt#Wd~lKYmE-WvS}=sj zk4&BcF zMZL<1t2i%AK?j^+ukDYI|tsZ(HWZn`1wh)LC8%a=AX zg6jCD*hYnrv{6VNX}B_^7hDK{pn;qxJp4O|Djm^EQiKI)6;Ft!415N?uMm*1kedk; z9O+3Iyks=8gF25xM6~M;(T4^sXe~q75Hl`5?#SGj@!>A&!4<0CpwTpId|{{g8;v5G`s5ExRng+ z!cV--7LCg5rg@KJn}Mna6%6f(j)UjR0vK_ce#IRg_QUsS%vLver?#y-GyMud)i{G)i+qg_%Uiz;}C8gPiD8~;oj_T|6Iwf~;8fcg?H4?_Y7(GD8V=vdYi7VYXf zmuzNLy(!vc1h3<}?<^_oByfK{N!nZk>EVnRp}SHz1c2Fy2ewKO7?Uf6`s$1Ylg{!0 zlK_Iu>6^p*2InD!3pylv5bEd0E!`sF4zKWyb5tlIGp&2s!jClK@N+yHb zWz~GFsoATn6q?NPUSHq7dYEUZP=(6gW+c!lO;h=X2O#=Z_Q#g1mCiEiSXLgvj2 zIzG?u+V7aMZUGBEsaP&FNWBHbwUVWmYVy$72Xay9o@k{`=RK)!ej=O2%-s6TVOnem zbz^-kzCKg8LeEWz;lQ3UL8ysQmX?f7*ggonDv-MzTMa1+ht4uTBj2C)3qB`v;#K2{YchFR6I zXcyVb5(0KC3* zki{nPv+exZHzNRDSt2_tviSka?Lm&RBrNA)Y`4yE>|6v}67)?2h#Mnme3Plb;l|7+ zA{;*Z=18QnfHa(TuC{-{2cg3>V(NMM@NN~JyY&2Y&wv264?}-+yiw14^o+{jkoQ@I z0}|C%PGHD=w~hqGkmoxhk9pw?6qgRHOayU|5zh_$2E2$m1~r=@v!jNG!p4@aL@PbA zY`;GD!g=^p+(ymyqo@h0h8Cq84GZffI-(wlkZTLa(T=So9oIY_IprUBj`ALxmm| zgqIV?UJFh(6Kf#$TTkKCjbNP4elQNqU6say4H(8o^ZBuJh`Ob1PCF^BcRh}mnU1}A zig}_l|E;Oz4KGvW77`V(4|7M)e)`i44v< zC%(LT<2nk(aia*)5GGQJDJi-kgLyaN{dTPgyh*sXssRI^9|@_bNn&%Ezm930OB5-x zi()(y%pgJpVC}`vZm*-eL@985?J`gnDJaFHQ+0I7n9Dw<_b!J|jTYxCosbJpW-e2t ziN`+jvSzTWxv9=Lb_4;y>|S8(10`V7xm{2~WEZ?hKOo)OHcE&r&iG$$1)`pYjCPZB z3!1)z4gili7}^Hsfu#bxiamNi^p7*I5x1Ve7cBu^i5F<#rYMc|H1Y(3ZpIhQeb(&r61ro!fN+nPtHMQa zPSRn;Bi0er_j?}M7tpeRFpfbN999qBr*G$4x%GF`(5tsG!V7hwD`&qSXx$?PF9djPWZJWfL&s+p606(wBD9#o zi!ZpJb-L`f{_@E?XYdK<{i>7Gs>Wzct{g?2O*NTE?Z?|F*oJ}sp?RIRt7BhxjMtZ_ z)_j;ROmy3Nz#qv!GL2-XC;J~0VJmShIJ_-jA<)jTp4A8xnQ61wHnXv^Kqbmm>*%B= zT=YDr-`SU+ba58w^WvL>vcRHSP*f^Bla-UTy(7WJ(z*BUi%`E3>K{{EX)cpBwd3pN z%bP$;k!j8a9Ib>0alrgr2EL7qZbV&H@rqKO}7bA*+p|5ICH#w7P54xL1_Ux zYX8l$l}s1XN()wlXx^9imv9ee4etfY-iTkLt1`P&|G{k0X>`SvfycOxE(O$ylMT$b zfThkewczXUZ%kU6$KMp1m@;|3S}`kLzg^>GV{-VqgR7Kcn<02Zm4QTO>2g7@btW>6 z4QYn@a<9m7&>P6F2!nF@0>HH8b7&VqfhhSNV)2(^L8LL&2JZ9tb zTl+JnCRcX!FN960w9jnNW`*{Eu2D6gA^DVi3(dS#Jua8fT^O||8xs7#xq<~i<+fP+E%`}r(u|`1` zK41t(%A~h^;|A07_O(MCVTxugG}=-cTD)BEf~gIIscVW>!j>u0rqz@9jU*JFcXer~ zQFy4OpO*UdoJxkJAYH;QE`l_G+`bP7&amso zBaq!Nm)!fhR}UFV+|s zgsg82Z(S1V8QEWq_v22;-qv;8(~}^U&ObtKpwhbm5^BkXl5iE~ zQC!eWbCuUvchsvyh6d4mi#U9nFM1 z-yV@d;W=SBp?R#+_tSE`rZ zymu(5rIL%w%!RMiAqZ!PU$AMyc^yoG#~6pD^oqP%&tRl}pg}S!Ss~ zHiHzzC6M0_2t@=ivQKu|G)88bni?dVjvDhrdTNhNGbgFNR%~*m(D1BL^i>GHd7X=6 z;i9PLk`ZAZAa@qMfK!}bN^bukLYkV_aZ|74x36Ih?I|mjJSC1u((fsXplD^>Dl0T3ab{k%xL3BYTNzxg%jY=0{7{bzIH9%r85 zH=ZnPoT3Vx;RK7an>?!W+URZ>SV|mI8F`N^bKeMu2dJs2f~ zxRe(^SkzrUu~TdRpt=zTE0kVTaKG9OcZ5VjSsKs7#@#OxSjuaL?ytM0;;&3An!5{U zmN{5AuW~Ng&Qw#^T)%hcagNQY_U7z8h_1@Tpc$aoBuE~&qmB!l1+ah@e6n(_)y}=m z73h69oRoI=aEGSJgd;NHm2AxH?blQb1))(x(+p6C26J5xADKFNy=M z9@M!mec`R0JSd9=x87aw#vBZyvj(Srr9>gD-E)2cPtX+ zqr59(xIlTAf1WM=I!E6hz@wDl1@H+NyyKDf*J-Y5=eJQ#o0njVFo!T$tbtkPmEzbM zIRURHnpag>*ugl<*{w5Io!v4mK3$Y4wYg&Jw-m?6^tsGRX>I-5fFg(DjF5z?93KY_ zj%!Z#2|(nJ4xCGMHt>6^WAC@gQzJH^p~Fq?^&aec+|V z)7y&m6FCs-xzW*0W~BA}gO%;EV1AtK?8?)6t_3!o4vQP((Jm<{LLkf5CSTZ%V@%@L zmsC_eUI%0V6awYHCB&JJHY2lO$r=q9Qq8^Ol%R~$6O&g6g>lzq%8-)QXn z<6lnbe~6!UO^v@1i&ac?S3TJr4ElI1SUL8$IQoJr7lqvg5Y`nE3_bgBamaRXeba5^ zRz+H?pKmgio7*O9K-@U6uD>?DB*zyuP^PD!h0+2%aL}l|w}rUJB3qiTD2kj85{Qx0 zGwv_YZm6!iSw`FSaR~{k>;)UDr+<4%c8DuRajrM5!E0X7^^|Sh2fQU`bY%TY?nZ-Z ziHWv4JBhASlV8a_{TBO95+;8Wjcdo1AkUUpNj2dgE}>(b8WBqCO9NQ;?EHP z7J7Zk+|_+X1>?}FPmUFXnm9OFp1V(l`DDGFay2T#)85(=GyC zUgk-E+xb?tmkBJ~n!VJgru9`PB7<#J-74RbeF><(J;go7%i*dP+5r8hXBlWe_kGKk zqIY)Qrm%hE9juHSS=RTA%`ShV;&v)?3SH@q#0gS&xK4=|?jp`PDYz|U@Ym2<-O!I~ z(Lkv5Y2K=r+dJ_dCR45O#tzYoVuGPs8B0l0h1KSHRD8WIfX-Rw zBTWMP4`xKY&+@4wz_vgs9N2@6>#FgRekNuH+-Epe$~viSz+FUjxH?zd7Wy3G;`SYs=5+eO z6DIkRS958g)@4s`>;?6`{sT*XzFOs;g=jIHs84d+1XN_T=+z+)R&PPGRW!x|wV(5> zk~dB6?f{J6`p-tt=(<33XSvdNqwvnK4_tJx zZ#(}WH3qpQqvY?eY5(C?&katw*F!1VSDm>3VS^g^k4a?zHp>6b^2jiohy`i}+(A=q zcsraH;84=X+z%zb^>e@Dm^Ieq@qA+ZGlpw2{E45P?`3mrrO`$Iz7qfmOuL{Pd3ztM z>zj45DJBci^6ia}NicoXYWjz(`%gnQ!yk4+Z_EdaLIYf|wU$;e*LD&s^z;laq-8ud zC)3Jenpog!p~^P@@+qSG6?wtgx)-yvSXCDAi69x=6wp?bkDk97zV8aC1`hA?0sUx4 zy3e0H8jW1)GM>G^_3{L>vN{N``Er|@LR|D5duoAeb%G01yww`j;LT+%st!L14k1qu zdXO@JusI26kLuBh#;m)kNZ>jwFgcO;_vCL|vj-|LSLh_}nBRUf{`KPop|d&BT~3jG zDwpgbWE|Yam?GL%=Vp3iq|$$e+I4&{8|i1C{i>*FwhH_~PaI^pcUW? zWYXHvz=-jO5KUBL6{D~3xaaZh+YpaxG@q(q(Hk)>-Nm|y(-nR71j-4TBl zkF9f2s~Y`zu`X_*8WuJua>b7`jC(~)HbW1enRORDgU_2}%}w~E*pkBC*rKP>Rn-pZ zKN@j-WQ{xuerTgW%-V&MS-{Ey@3za$Tp1AxfY@<=py}}ThPz+odbC z7CCydc1zNTN$*?uI7vzZZK^No_X?1lh3_~mf``yq+;IB?YpbsUz&X2 zzcu-QX*5NU?m^YU_k~~jp*iUk14Tf5lBq&XV8vUDaVWu=*Z{bF^g$n zN`hzQh|Q4TjVc+R0}Zi5Dl2u^gj!SkqxsS#o}Bl?Y+O4`3+^q^@TYJFf-Yuw#K_u3 zl-gQ4x8AJP=KdFoC2~0v1E2Sk9%{u)#-CV*vgo?LO8iXh|Ioa%18NBX-+8^{@A%Fm z-rg1({yX2fzB19vY`CcFVPAS-AQ^DDq8P>*&PT>3&%(#awZH6{QgpbVZK!NfIic5m zb_b&NI{3k=SqszUHMxPPxWiTK!mKO;;)r0=nT4`n1;6f(juaG#w>XmDGiE}?T^kFw+jgIykj*PpfNJ@WjYbObSK346VnIJ_n%#k&Fkx^ znRdoW>P9KAI$0^TzU8?qAnP?#uZ))kh=D|#*xVOLuZ2dMYbiF|A1vQ6S*(5e;sxT) z8A*wlO*Wz+j{*PaYNB8(=0Z75`mx8MAo__Rt12otr*l5^F$QIpXEQcu#xnMuaI#o9 zu;o9i_gest)YNCbset|Bhx>HhF9>MfFU#D?%(uA~*UdqjC~x?Qo2t3Uk&QN!Gk_;% zL{m6s!?X9bj_^jk#F@f)PUKrTsY0D65KZ{(J9s&=89oLyN_~7DAUv=%XlR8naD6L0 zG@{sBXBmNAk#y^LIi;|Yve<0uWsy41n6uo^%rL>6Rr7i-ef-IlV5&+xvRgh?yt<(h z8R^EJ6qQWOS?Pz@vg2ut{@n`tW1JDRO=^d4yQu(2=nvtf*CK+4f~_-$?04ZCXd)-y z)@uNO%lS0`;8)BJf(DJDwms8;(B%W1^xV>PON9mAi2#1+4qx?z2rW<_vKW5{Rl|2* z1XM#|0q_6g{qL_l^RcvwzI^Zy%__8sh+gyCgo`E;r{O}t{DJh3Z411cJDy*E#W%YA zOL*y9^=8w?$K7tOE~w&;kr{HhEh+-c(AHR2QUG+>>4h;#<{YUvv%~x6)f!oDLDnyZ>*XGVBGL#*VU8~2Z_ur25 z80-qzxN@YvE+*UQ_4x}KlYDbb3W43b+=ioYs1lfBQ$4)zq23Ue&Z!qyQvjm&?;v!| z;U{eO{xG(>6i4c&9mG>SQT(j!+g0fV*(iBM_7wjM#H zXDU+G5T7MKOD6GHu)bfnRUulc1@sW1cFR_~Rr&gz=1 zwEK>SAu-GTky6noDyx8V-~6zpZi13_iJ*X1Ym8S17k50_CiD#9xGM(T%-Bd%R_8xj zWMA__hcool&Bb~Q?CL6B8JuejRjO0;ry<$4(-ZOGw+HBmUjY8V3+#-nE+n@&gk^Ex4=w`+^Qq`T%D6!Havm!E%Op!Df*np;>I=t_|B@z1nxsDYoL2 zs^L+~><|90&RaffyjPkWR~062wQWfbVw1_iE1O%d9z{8)anucZn-gw{My;1DMDe)_ zjse0yCnxFSC0P|{M!CfoX)cq?h>j&_*Yww4b)E;GpK+-zZYZ+AJ(lK+rAR^FDi4!; z7th?xTt&t%Bk|lg>h+2g*{CzXy;JY)JlA{mMnXqfV-^f6lssjv@mlHB zx6}V!QTyM^vi}t>L;sLIJbD(r!G%QuE%F;+Otl{NAi4ywAYtDdYWA$BU6r_V=~H3H zGTkKvcvj$$7|W|)nWDKijUXpowUj|MfHoqiivr@uxUYDP_wU|_ddWdEeJQ%N|kl_ zyt^#a)9ZK{LUS{PMQ1uLfLVE{0d;BZQq+acQxncFllFI-nV{#qr!EPzU#ByOxcOA#yzJxsk(b+Y z=bQBoUOX(cz3FbG$khe0g^XSO2&hq4h@L0h!wm+Cyuo~H7Up=UDbAYn1fl?!xOO-! zm%)z|UG}*rcr24`&7`VTBgJtLe1;$i#DKHJY;QawWcnD!r(iD7dt=#6<;dJ2OsoF6 z`S=Off;cXLWBB`AOKJ;Tv5qD>hW0vFS0H2I`{tOSQoJRg6EE6+TC!*qcmFd1A>dqe zt;`aAtVPV})x{IBx)WL*O1njCCO&;#^zJq5L6`aLa`J2m!8EPO)!2@C(G5X=yvz&?shzs-Jh)Xc z#cZC~7<-uQAj_$7>3J`A(UYg-JGQZJyuJ=3xEjXhF|8*9XV2ytpqT6AP6<2RUiB>S zoy*Q7PmiErv$btyk~-Of{ev)77}sEyLVVeWJa87ACI|#?l7~Bf2VHbY0yBF1M;8<< z$6D&1lP_5!p@Z9Bo*RDJTQea+E|nqB;&R)*=8lD?x`h^4fz%BzLpGO0o3bn6rm$3- zZh~`6Pq#``KGFC_Zr%=m*s8;8VI0eR#=nY$9edBrAn)xuaXUkMrGX&%;~WyQp8^>0 zIo#={qv~G`*#2(@Tw8OlE4XnY;!q#fId5;EHHAo82_^MF-;;hZU=(1$(^?NQ17wr! zuog9cH()6j>#DgLs*|5xRw4$zLQNHwZU1h-aKM1s00U+M4EUuTw>$YpiTI)i&r{^q zFTHT;uj634=L?NB&`@}KE`@gh-o_BK1Jps zW+paBD@*U$XR4AlQVHM%pUp(h%vCl%&RunPgN!YVtfy=g#T&cT4Qr;EK0m>HW`8q0 zw`<3$|HbFXHm*{jbtMM}HOE#XR8Hd*Tl$C@M#Gsyg+;cX$#owHzjivcF5#yfE`|9* zZzxbU)PhAdBS&TTv8)Kva)U2pM| z*{5S>i#yfi$2}e);bF;lN%xWT0|7C~ea)$9xjq0BoDBGz0QCo$mNtbG8S`w8dYsdw zW&W)kv7U@GWlFv@8r+my5r&{Qna8MNFWe7g@yrf5z?|MU#@)ed2Ry>QXgu4{FxW_q zvmSV$6mCD1Cwf%iu^p4{7GJJ-%$S~hM~q85(L#+%voDASg1G^SNK>xHvCVCraG{xU zk*s_ZTef4(Q-2`5-LZ6I#7)NTKG)8rla`nAHj|Qxg^cqU(PVTlfDM>Teek4xu7= zW1*JTr#~K9r990zVIH(d!%yP3hX_#Lc%2q?YQFyUjN;qi=z=H!nOM*`m9Y7U#Y7j% zAZReLbcEvC%a}#3y8&Kw&PW`W(cw-Vu{UAAW1;ntkug+5N0SxP24Bg1BmO+!^>8AR zpwqfwx7u&@f^-w_8|7*ggo^hFq@rzbgQC&p^59rVwPqNBe+B10cR{^mE&4^E+V;J4 zWr)v-GwX`9PrrIDa5kvWV~UG82Rgd?cWvO^qF1987J{xU z)GZ{+VI`ehT*;L$q(0GER9uPDOWV*Hw7K0R_MS(57}eOg8nppfx&v?N;-<;EeZ0i#4?TYk>f; z{Wzf19=|XLj4;r~GSHo}+_W#8?LBI&Rf&20ChZznX7m8P&ex0eBd8WjV*MTMMKgFaa(9^)Ok`$-d=bHRIbHobzI>>?clW3I>E#HRibDAYVSif3`rgc4u7a_+_|!jx_6h}E>u_79KjY$fmG{Nh$qf2 z&|wW4D7hjBRZzqyngn}P3+m{w4wzxVs17>evw7_uK;!dqjs-x*-U;Xs3u>X# z>)PAq6UUCo@yy>WgiF@R=3U2>guyZM{l(szjs0W6OpVZF#YybFnJFG#ByN=n7lF`)-a~Awv>L zh8fL@7K^orw@0UE0kHcho6DS?qoQ370ZL@^VfG> zC!8;#s_QKMgvYKY@@mOQFns$U)~>J;wd>AAN2$F|3WdA+PpP!*R}o)sdUKrNGZ?zd zB6rL@Wmpa|$HiYF@WP$(b4r2XXNa3)x!ea#ZQ?Sk9sHjHAZO9 zcG|KQWdZENT}ID{Vjg7ls~tUg_X2KVQTvOSK z|7@yAMgnJ+(MnlT(zs#!L-Cf5tJ9F%-!@c4C%6_!$je~25A{QtPgjrv!naz}sS9$J z%tvsy8f1dB1N{0b(Ps%R*x_gM*VEWE*jx^?c21l=OsFdi`C?~sF6S);t@ZAqucovP zvJi^V{#FOz-v~wn^MixNsMvWH?h1#~`?*<_ad)4_pClV&^Hc-NYR|USrS>OiJ~bl& zIg;|^Q15Sn8Xfz#1G^1S%^Iz{arft={9RLh&lE!Xt_o)4s-#Ed-P$>BjN~DGfmF~C zvsC!u&F#AMUula%8{)@bwe=r6w(+5pD_ULzHqlY^us`!%?4wHa9XFT1iYoYjC%wK@ zV|{k!j83}Rys(Tr!$hxl22ZQTrl9Zkl7C=J&&k${GLs93u^CA5=+_UWn>&dpEM3$D{B;;wir-ckEqg8bLQ0~x*n z&q5kQmb*72#;TjyL0AA}0x8>@62)KLkeL}f*je8JAXkWk=a!#X@5idUC&o&KbaK`o zeeju%SPL~mJhT)zqX3)ccM!it4zRPCoIWcOF*0!pGB*z?9U%gBl0)q;ki+xH zFIl5DW0V9XoqYwM=kxDBxV7i(LwzrV1Qa;|ct3El@1Pe&Kx`MsPqevu^bv)@f=9nq zBLE7R#C-TRk50=c$|`_@x}_CmTXJ+6{L9q~)^@1x0a0goB&h?s3-lu`2^s-3aM~&* zV*8!IqriXvD2Rd{xgFT_rN12? zK}qkQp4u;06ZN~Vg21zM1OtvcaML( zA+XoPT|TOB`8iVm>Ei*T#D`~t|2jy2zXbfpJd6ywNJ6CMmu2>`Q-A5hnL|FCG5-@znd%q5Bul#_=yE1&V_u{}_LD^4~1y)*djVSN?qL z{`BzxWBSu+`6ui6IpK7FK6d}=`To>sn0{C(8@yljALkqSXM^{zp6*{64PfY^zzjrD z{>~i#U$W?*W5@n`+vWE^#e`;``)Ond$nO@B|0zl(|7U>VMEqej7m2h7{UslA`KY3f zdgA9C2X#PxaSX;k9Yc{w)6azp|A%#Il6=SC4luSKGx58%kTv?#VI;46{pK*BKODxu zI^@qB*N>Z0{&Wtse{c>K)}cRd`oneo-8q;f-~Q>OprzHgyg{59wOzc}zp)eF8GQ+NRw zYPJIbpyswN29_8P6Cn9x7HY)QJk8}vt8pEAtwtSV^~v=UX2Fv2ss%Zr@n3Iz%Qze; zG2s(>)0+1K%trnFukhgJCMYA+aJLq!a8N*@2~2C!0r1Yc>sK}6`4c|vkkA}n;8&IV z_uFON?s+$@-jbU#8&6vSx`eD1IBj2}yQ^m%Msb2kWqbrO;ncH)`d5w6*>T z@8Ef33)x8jAxKn51I|EXVz4@)->5MKLY zMzpaG3D^s3rwfV{+|sP`swMB4UF*LQ^WkOKnG88*&Z3hv;? z=T198`uyldBd3pZinHxt)6T@3r3NMZh)i0VMDX*8?0H!}SqG zk=h)h3H;`=SxAs*WB-1Jy~8kaO(}xVfUo`zDhznIQe>-**gBh|zXrFTnJ6&=k`kwL zfu26W7`Qy!yEaOHrIsvU0k5!)TxulOpjGHcWgas+$ zLbSgG2+s;qgT|drwk@Om=~(^nGeL)EJXCAgD7%6xJwj{a3^Zvmtn+mQ8eGjBI?DFO zg-?AvNqVKP8qq7K?!=#0nu>R8C#>9AHMO~57V$*}0x+LJFnv%aX?Rq)2I(VdD0UoD zO3c^@f{x8zms~!4;ONsk<6$eeQY1jLWWwO`th|~Cq=#Ig7lXRTH#XYCof#|B*On#W z*^`RbxSh(*U$-Z#&-e@|&;?T(W82GkL&Jg&;~StI#_Ya1|FmKf^|l9;i3Z4A7{3vi9v} zs$;T?Th9a|t&|~`2=Aqk%b!o2EXWHrnY8%=2Ev|}_D044mHv{ES?VS?#paadw=5d9 zoYTxhKa4Z-H{)bUVu|(EOH-i=8m~n*Bf=rH^$Z0#CtRulE>e1|S<#=$A4v0ALI zf^%9=Z1e8Q%8lKHA}dVtNh8OYpwGw(Jz)EHK(oP{9cQs@L$bF5(@4#;amOcF&M-u6 z7iZdE^vvN(6v}aVG1M=`^Y#E437O5dp-fuS0~n@e(-K`5@}6&e*|K}$d?|tXj9u)w z{1WH^LPkY#gtJ-uW@qk@sfsnR0HA(nySo2oNQo_9a}I^Own^YlRiOzSGY59Ljq zon-K_Y&jq7>#5}#Sm5#ytWp@2U@G3o5471~MfaUB;p^+ubfnKJ^fHwA8_+|P6Qh_G z2w=tArgI=3eg|2Mw#%a_#J0w*@?SoU>m+?bR^$V=RHQMo8>fm1z8D#VW9HR)&eEx`A;J#( zKeAf_G~w)K_HnA0A{U(PmDxX8^gzw7A9VvE+mjGd?=*jHLMus_nD($&v(-z?kMDye zYqIaHV2foPsCdMI;l#juBd~_tu;vP)V z{t79M?w}Dke#PBWfgc${#31*8M7|y~d=dg=6om^8kY`Yfnm}|}joPgNCt<@0G5G*d z1?os!#j>Pc#q7T(8YrJhbgrGiA}4LJVf>FDu>w$EQgMpK;t zc<24EDY7?Ylh8Bl(nSh`X8j~qT+&f9iFu{^Lv{a_eVCKIKK9eaNLo`(1FHAjG-{L# zsRisyo=m8@REQJmh$lz@fcvoh$O2r*+ITyOybBzq!(55)fbOXz7_ed~d}jy_2)A={ z>t;wyFT4UuJU_z#pN+)>$%}sA2g=b*B$kr>=4+8H=DMY%#Ty!0;Mykvs< z;k(*|ALazWqe#-4RpB1{LV7p{)VL@q(lH8!(F_C{44n4+Hrd-E0oc_DUL61&31dx3 zC$~_zUiNXemeEr9TnYeO0G>7N=d&Js2eD*KT>aqBC`yoY++g|+x>nK##c`p&gBFbZ zoqVbP?-l-U7XHtW{(Eb|rd?Bf9{m)`P*0wtS%6z*B z1dS-Gd~vFC9+?ZE{*Ak$_FQOzb^sXt@7l!ZL78{+-c3?uM%?57@on&5VYj6M{m|2- z_aC^PD@Z1vRqA=y@B!}uRh$g{uY#J+RCBtmcVqd@ZuOn&Wu;%FEMko_u!y>ze}DN4 zU;22+FQl=*x>KvW`Av5ORQaop%?_|V&A+E+KxWKKW}u_?zoPX@hVRC+0BRQ%I0$JT zeB|+=WU+(}zUT*dxN6951hUb?lo0)P2PlQTIt;`+0N?C_wUB_s%#oTKv>s;wOpH82A3cb0%Q#X3xE> zGW;F1vmr_XHiR~Pvi(nxm0{>7I4&QgGQvl|>l}&#C_z=q@flKJCL#GdC@P(N!yOPs z900sKieL-^-%B6`+W+>6CmdaY0;421bFU!;Qo_2t=uoqA+>b+}sSLPwO_IZI~XbJk5c-dYb=!;2anJ4-gN zTK^-1{LR+?8W|y=#PmD>;4ORNNN~ozI^J0QdnG36Qw(87Mfqjxl&Dlrv2PV4!dBWA zT(JI{o$3v1ymA{}ilC2}o4hcGrSM$cKltVWSfD-EXFr;^YTR$m_+F5b-uo*bp(#jpaGUSfTS%42BSl>H$@S!l!pK5rw$`h| zOE>f$MW6D==x1{6yRCXVPV&3XK5Y(dC1G1N|4^*-$2|Bs_kzPr#1NaiFsLLfP;4sE%uvI*mORG?hLNve)Yu7 zY0g|_ytFbaHx3rnc&XgeeP+z>rOUh5Ivem7A-A*nZbPaA;koPX+HzS}?G!hIOLfM@!QLSV1>Zxw@k7o_QqsyDe%eCBQ3` zEz=1F$QQYTq3GgR2Sxg=dMh4RV1bj;!@ngZ59U883;i9h3gt!$04zMd&+dGToJvPN z4Bd9h;Lgn4^NTTl`zrBsqArD7nZ@+n#p#+|&Hh%(HsXy;~(c|J#k_ zr=SUd+~C}`l?zzj-{x@Zz^Yo)9XD5s3F9&|R}$7DE`9^eQwMGaHI9j&sSL@R1z9b= z8utu(2(@a2kqsK~ypt5IZ7QiTma}#|Xd1p-{>YwghDZE3*~LXdW4#fz7%>2i9Oyy~ z@b`tD3?8fyZO$K-*R6O%17k zZk)hOhi(l^c!x+SB0?|rs6^(Hyw7p{i#1ie>vbvX?p4D38{@OWpMGI)=Q$^O$7)x0 zpKj>wtkd@YO3WZjX?%CwGNys?{Ikzyp9#}fdt9Q^b(O^DZeBz5uZX|bDX8)XV{?R{ zh{1>HL6$u*xgK3II!nVN!n#etwAmqYEM~DwO5Tss^6f8O2FP)Cg4yt6Hn835`rJ7e zK4VwBw^p*S2zR(kKHlO!>wg(8gTc5KEF)YM;9f9Q+WB!%z2Q;VThZ-Y#pjk$5!t?S zBL^DN<_SUMtQf9;HW~l;Gvcb3j6kh)RvCQ7C_}5c4UX|Ld3w* zOAF}Xi(lnmgsDkdz4x%*~R3@oBwhYYUaVZ^ty^$HsmCDp%zW z8Q)mr>O}JeL(U!+8Arp50^7YC&u;XMgk2uolbgo#n8Ho2frD&4HF6xRQ+Fx?C6r)K zb|sdF{?VWlRuueKG8w=8ft3%$Whoxe!}~ZL0B;y*EDDb5Bdoo<)-87ZgBSSUhrfS0 zmr(u{<+T5srVd?u2M&Lu@sLXqz!b;m>UF!p1jug?;)Wk6wp3@Q7&i(fK4cvB7Gb^# zQ)sJC7-`mGVadW}rXNyC=My$-!n!E#r~vsNT$a-^=;sx3NjB(@K9Q$;0}<#*stQqg zrFHe>I?>ekW20y7A4V<%bJ9wz8x${VU{gp{(|)>Ja!=EH&a|&84wok?hiUV_8(TaG z20H-se(w1}ZCUK{j`hy97TcLiYCKS>Y?acKLxFK2+YM18K^H(H2G2TgwirZkS z4(DBUqPyoXlagIivQ6buyOo9?l9x&Y@dsj9tt@t|zg{U~<)d_ytdrlC2>t|Xb!~m< zBKB+zFx`QK_%$3{%6y%*n5(Kfcnj;3T~@|&`p(IZ?ySBX z+0Pds4>OJ&;3Ct?+R>k7)M{(;Pr}ToQd}kv&w2YxR&BF=h&puA8lTNjPNhb3PExKQ zfN%k92Aon;w=#B%;_Bgot6ZetV_syOpEK4cnKv1ip51njznsRy*m#vjA=~*jYx+_> zBo7-nJWLz8a=>B69KO1l2T^nu&h>d<+n^8Qts82-^Q15nsi^reKiKV-w^SfO((l znGg$Zcv%8{X@AgI3!R_1I9~il&qeb!b`YJff=FcK>70gpv)2we8%A9xbLq#~k}^2F zjOC69pqJ)KIfwX_gbCrkJlHt$xSepAa)T!sRroqtWE&6BFYV$@_tlFrz8hkZOe>zm z{51uSyiW-bf~vwlK}CX3_kaRUPmoa87n_1yxx*oxMO(CqdZl-dR`5r6aT_CEZYduX z>3)otJFSW7ssn5>PPXV`b{3HA$0WfAhe_*-K0f5JO%NX0ukpZ%| zua`^^eS^7-uUKatX?_E_jFwx*vlirT2rH?E`#w$l;oO2D%U$m_UG#EzKS(%eaf5habERrs0cS3)$$M@k>`Jw%@`ontSqm_)S z$kW4;0O5IH1!l3C!$LLkRG{w4J~wd#odNUlTw25BS+5nwhRd^`fJMk9V_7)nrpqC{ zl9$`+;lNiiHydLqa^hXk#iT9_#CqR^o1EU8z{O& ztTZIr<`8Ht)P$NoK%xiD&IGU{GTR~wU@U42?MDqUoZ7*k_S!Hf@EQM3WhmMf3G*QSuXZ(!>3nCuE~oPWKz4 zd$ewETHDZ>j{~l6S%ZeV9yQ{J0@>s5t}LGa=E{=!&sO9ES2I2u8f-`=>-RD~euj-nOkuL~ zOeCP-VDNO^*NB8E!1Y!Ukq765S%+{of|pPF3~ItVba-|RW9+8{hV2=ti&oM7qxv36 zereZ#DUf8W^>%h{uz09{e%kE+Bs~20D3RyX8i<%?fxgFW6yzUB8~y4rz2N?fw9)?0 zKbJO|1oFlIH%J@(2T21etW9bs1AI(0Rwi2!n?SOMGCjo;jD*x`bkK4FjQS`bqne8A>vM zQRqlZT2^!BtbI;B9XC6wp6WuN6m~wMx&LYCZGODXgA*T-XO0>t%EVtblv%PE2Lx+> zMegm$RHE{nFYYta`25PE{|~aU|HBwavw@B&_-C^EJ?1n9K1LrthO9H(sv+6J(ADm< z;rl{1Cx$c>qBQr$hwh@?*Haq2D0Z{khvBDtjmcEL%Jtc6gS5WJ@`p$R5-a-VPeU)o zU1dnG!Dt9)-L}?_&W3e&zb{P59Cb}xMkAz{jA(}0@h{QcK;7u7cf3%0Lu}JJRccGg zre#-t(u7eZ6+S#{Hl;ZNzeIck(2-yl-jO)h`usu`mHcA-j8dn0os+jMc{!1`w*Zj~ z#zj6}L@>cM@gu;s2CAd}OGF(g7%a`(0z&8_^RuCdSUxJcDK$T9^1qfK{znr+_uIds ztoGlTCb*MA;5_<}?!@sX z4@H2af;~d7%bt#)BTCz{ZdU&hInL*KGR8Rz!fW(girddMT#Rtg4^XDS+UY5<%ds*Y^CoEsrUQux02p*59^_jO3!`2x)*o z!EnXzG>2coZ{S%X@#u&78-R*Y4Vc7|$z!H?PJNIgkmq$RjM_kGzcO)ib-k)1?KDiK zo+*n0>w1mcoW^~?TY`11FSR&m0n(#h;~@A0sJ1_-xt5_EUATbj_iT|T?+j$qAuxpw z-yli7w9-oIgMgwsX(z=U%lsWjX@Cks$Pz}os@a??;rQ%aZ-n{4 zX}zk>5l;E$eCs65b%4Aj{0rB4Diah5yU9Z~v3 z{gc4}&swItT|f#jDtaLCZiPAD`yT;`H?D2Cw}OyUlLTbB0{)8*CjgDCCok57BxY~} zGfYsUR4>!V%$xh0qyQ?(C^}Pl>$9&S1jHOU4>v-KyjzdD8bwZbZ>51p=%&6h3-<|8 z!+*K?SlvRdkZ6c&sV))Ig7Zxp+wen1UrX5)alXNDt1HWS#l4Rw#v{})gZE0Ze|F&i z>1T8uklOUSEZtDR5smR5IihVo1OV+#e^{b@r2A7#G@x1Z{~AlQe_THl6oeQ<>P_#m z@_MIk0j2Q!ClMX`=YE2d?Sp`@IQX68Ru?Sr)QiLaNj!mkvNA_FcMoH%K+`P9G zv?TqYH-MePT$U88(`f#Z%cjV>l<#3Y>x1|rk;tnU>>Tx19uW&O6x^0>%Bwgk`kSas z!RS83C__Gg=y&grN6(AbeA0EBXLshe>;W8?kIp+`fV9DzRP!+_2VT0y52z5j^b{Bk zCa-?nS7szC;Mfy%95$2PS2v#trfpi$yzh>T8^XP#-<9&S@XSX&ZF@QA@RZsT??(q; zuGm2^e%+Bo$QzNz4Y+IPgRYC!V)-~4ZA5(O3AdRl{XS0kEhPC|{eOQ?D`^<-)ar}%p z&(7bZi)vHXqCO3#E1KAzaDLf5-{2p`<52z0BEpB6=s5#;-NKWJz@Km-7?bH6OYZTC z&?<9w#lx)mU0QPnr3Yl)u8oTyn5_3Fw`4%Jd3^;2rg#~Q$QgTgFRq_-yxrA|{N}fx zqUbbbNIba|dspP)q&Km!)seEbED0A?f}aoASoroV*a-X2F3rsRwlvUk-tP9b;bnPO z98adf(|AYRC6b3M_;4o?MztV6EYP$n4Zi{hC7WdrJ>T#YBcr5Mu;ijH;4T-_2V=UK zY;|;`u3uk`aORC$;QuA^(glwpL_JwQo>5`@BPFQT7RIvu{KtE4Nk->t1K}FGA5^R9 z>@SiOm^~C6IOCHNPfL}tN67Or?<4?&U!E8Ts@G6tyRG*Fsn2{k!&{r;19o1bx~l?T z^j4|#u2=vyr?cuiG4DzfM9}(tBbPYq(_GZA`V6fb3_&gwMuS`YdzN~h4>i!I;Es`Z zFgl>PP6-0nok9+y?xqma42xbd2uT4p;yw2!dEGL4g0|!SYdWxrdNG z3FCnL9Eb(3o$&iFDp=s?Yk&BH@{XRoE1 z>3Imke~Fy<^4D9!fE)jDpTCb({j}nbLCIjiEfel8{uusS>jSzw62HlnO}G~zG?S%= zD4w=vDOqx^C_%sG>vw=iryf!NYkN85w|_3=u8AaQ{Fo8d)W#$OCCF7763 z>b>~d?aiz4RbK1r;0w%y?GjcVBPq>yjKGADFW_zJiv|Rz^aQ-C$$G?>4wA7iw>Uny z-eF!NX|0eNw>Onp;T7*y9SFV!$kt#e5Ze=a($N9fU!bx6NM!Y@tYNA?u;$cX@@Ok> z{8BRGGJ(-)y+EQqm)E6A6IZxfT>C9OEMP-?o zTtuvjSLdYbFeuZ##MA8XSmVAV2>9*3=XZJ?h%`a@X~xWrjRgtI^r^tKli&*#LXmds z+XC$HLkebg9rhQ$4w{lC=X(nQ?Xm=D$xc@s65D5GYzSbV{OIf}U$zXg+$5gv6zSuq zr4>OL0KKoE`mSYZeoYA3DyDmM=V)m!GH4nC_uHtl3FhoOT}(RHOf)wvjp^ri zk2_1yG*ZVr_ZT8H9|YUbAy}tkJ6V0CceiW$)bR(lz&PuDaQg)IS6p*VdyY0FNsRI2 zAF262r!mHDD{EF!lFntO;)e#&AWn=Cmb*FlJNOa$WSZ05J8hxk#^34{++GdJvhT8Y z6S%y@lw5p~Iv*>xd}Fu^#5io~VL?x9$b@fx^hk04G;Xa+{^neLzSGLy)WkJ_|bq(&J+wO`1Pnh z=#MbXfn5ZMYn=FXo8D4E4}lBiWg^8nA&+S?yNks4jt=C+EBF(+D_uV zRqoA2#jQla6HKkdssPIhff1}F-FdX-Cv+r8l%uxuE^1}Em8YcM?Qkz5qgCIijPI=u zc>I33dfNsfp6ZE6-k`Y!Fi|HLf@9}t=$1bZ){zNX+WhHNyE2K6R#PjPsJBuQaV=Gl z9<*Sg?aj;KL2aC=l|?wPCq)#(22*wgwxtVNy0Fb|uRKBzd(7?TXxmJw159Ghw>#KTMe*J;Ap8%K?yYt6LM~;e;@W~@KVnUr zN_y2F--#_EsqYvNJcS6p07deM9VAmz#2a!?NScHV<6i3Ei!hYc8QblZ`C9F={LOcH zP>l)qE%hEXj_s%6TNREfyJ~G|I-Ttu&g^g&ueq^_~F z1*J@Q5NtJ}9V|tgQ_za7wAAfD$m^*0PUe}!F%yTl?5iuim%%Px>FQPTE=4M3zebAg ztYHUPu#nB&59yyT2Q-f5w0*5LUhDrnx3n4H&m`oyM?ktD=eVTQ+QAvUtg`SIY+6b; zuL1nC_Lei+ck#HIZk|v->(J{!ZHx>Lv<^PbP*LxY18ZmQ;% zdRP~YP+laM=4vzk=DNZsOS7?~t+O>+89BMAX*|TB^x_lKigIG}8ekdxchha6*QF)i(B=Tj;?x{MC*x*o%MFBA1!>@?h84r`g&zrt=B*M zfE3MtE5HN|x*3Y(3BZ}@Q1#rdz*dvyl4q{0o1iJ=z!IqHM+@bZF(e{Te>3x?;(4=w zI#vnp?F-~udLES|wj(s5+vIUG;H5*KEXLIEE@=b8+&q|N9?!b--W0!9E4iCyX(xvo z%+ZSX6)ue~xv0tS_g?A$Ttfxy3o!@(63)W_5Y=-308u@O1yoo){y9!IhoUYd>Zv%${-+s2ld}D! z1ulIu(-nG~H+Q*)H08MMK-|Q?W)vz|Q1-h@2pq*DTGGt3FGoXd}h97p<*~T`7mB5T|Z8UuDNlrklMjM%&0%~P_y%y9tY+$s`O8|1MGTWA>H1w!dByG#WH-N z^2Hal7Wp))??h`#PxwD-I~CCT_7FdjB^>qxU7y)^=Mi#V^I+TMVr3~O?jqR zX52O2%ISZ}72SDliRBn?Zk^!r<}weQ6FtXF>X493aZPU|rnjh8N7TDBW)NZT84n?Hym?0_7 z0;@{(4A~B;QD`v_Q1*lP5NNx%dS?zEXY8|DdD<>x#JuNUrd91eU#F<2DHr&>i;GH) zr5BA;DcyO1^1W^9^kgR@z1J1tb)wXmpwel7`%A5yYc3^6fod>KY@A5NK&jy3BWGfw zSMp>&Ge{fSb^2?EW7Pt9DLxM=eQCNiF040{Phi{}axRaP%|#HrD$+9L=EV;EI>KIJ z2GZ{Wz)Hj`YLW{HpO4|LBjimpo=n+C$Y_}WkUd1r>J*kcz+ znpfie-7&_rr$*{d(xz!*T5mK0IzS4bZZv1m9mc{P%Z~bkBN0NGOvQ++Ib-EBE#{oF z$qdf1!j@;+3ufF_xo;ZN{RS?Z=7%v$2~q$`4o;0M@LpKS389t)13wT1fzEmQnT zwld|xWojWtA*nen*;Vx~CPG9nTs)o0oPX-+k@hJ5!;MX2tb;FZl+|S_WdPgcTU$O> z&`))gJ6;$@co3^k$-vLoOAt$Y28H+L3FBXVpC(y6Rn8SkB7BfaNMZF%$)=xOvJR!k z$8cMB03WlcvtT>nw4k)A=={AqZP|e!mmSYJw&m+Imn|FHY@fixkr6b{Zpk2)a0w35hwFzZ$C&R}&uuz;8OU;|I<9M6y|_PD$C9BDBK-_3RJR=7&TS!J60Eaqj zlJP%-yZ?1IFn;@2bbJ4B&S?$H=}p^bA{M4E5k^tuO=;1J{T()wY4%amjk$Lx-qy%< z4s(DCu+Wiy%W%#u@Y*=6#LZXZmCL@Y`p38LGLs6Kb@>S7-WRnN9^gLjb#N47V0?MX zrsvi28XHZpcM*#UTaWGXF`;W_awRi}_!LF`KgW<4ctfge+u z|8aruKRoMyb_vSu&@BaIq|pa}!Gr%R4E`%r{VwLsUtsW%TPw)On9mS$d-ETF;G6#* z1i$|uLGU)V;tEwYb_BMRB(XPf*JA*%b>(TME!8(d6f5a&4UAPF;{OMnyotWJ zly8C-6}E6ZtrvX<`|(g!@HjA6sM^hLDzchb`IZag}?S`|I;clO#Zty9crZgcU0cyU} z+)K6n2FB9+a|N}XM46jGTE5Ve@MZhw6eQ@NId*pGz*};#;T5@7@LzYK-?!%f&Z+6o zIv9TfXP6Gq-ZjPYp&X@A9Jp!hOhN0<)lzfW4j6fm&K_Dp5Iyc9s-d^_zz&Q1h?a4> zLuNJ(4@vc-?iceo9+L*kd#k8(qYzpV-PeyE64;;y1q&R^Ihb`e&z7{vw|3}LlE;89 zFl#$XkG;+*u7>k5uhk6IzU9ZCXt$`^6z5`FSc~EcjaT5XN^K}=)9z`Yzkee8)`!OC zK}2e~?afApeWk4~wx=Zo$GwN2x-d!QQ_|cGf8ukHEif^(wxt2ah&M%4jAe+=y#Q%! zU)7!II7AL-(>m!L%Q@#}`$mv)Kgdl%Mm$GkfR=WF=jrU#*Jo7iQIebdqH6*?DFUk_ zv$rVtZz8?|z6#csU+=xkiJgAW>OZ|gt`vNr(c>V%n+?WW`HRimUkb*A8vX7>2RC>*AKUU zMQ9V{7$8{yXz37}0DxrS>|E^w_qoF;FkJLI${6U9hu%S{RqWXZp0+va zr-8Se1Gldcd8X6clJZEJ7`cY{lS$QA9u~GtOOI`nIbBn-b9313wfES=1&)93Q~L!? zjjA-C(R~iV!{o5+0T7SJhkC7@5i@-~4nfX$W>AxG=;4me*R2E`pAb6YBfl3XIO3_D zJtV_RmE)a;!ySAaeYwv)2X%F=Idd`&Qh&Ed1|(2Ax-8WHu)G1}LQM(nqMh5GKwf^?)Ud-}I0%%gQ zIF%@`c@>}eeb>@d(Efbx(@I|PHRRQ_ift4dS2wFNc1}!+TJ0qtyP`{eT1XaotKeD# z%@U;`jnaFSeg%fz*m<{NgQa^0V4A!EtpF^D4VUJSa2~PXh$rinlHkuqLZb=C+Gj?c0X)0nUjAsofx8GDP|5_}Uqp2?Ob;RsE_ihQipI8B)P|Xq zC8MAc$`UG66O}9QE#T4iKwP7g-#L|pvrv=b!FZ2WJIEzJJ0_Jz(K`{{Y9Cb ze_l6a`EZBqjBE#}VPoG(kmfneI^yn4c=JW@5hO8oo7JRo?xND5R92|T+S$H*zq7cI zqGz(EHdt1pY z{R)j+Ch-IV78;A+BY05NF~7^`~5-mYa4zcf|DPpxXet`#j|1fJfg_ z0A-$hxe^I_+I^PvcnV{o$1HPA~o`V>TTBLuU4*ata@$WK*f4hYI zW+Acwk)Yc0EkN!KdP#|KnR3eg{RI<);7J;y;x$k{IF3rBqYkjp_xeJiC& zVgAU|P{F+K^|^%xqldh$r|~Z=pg3l_mN?Iw#n!R&qWsPyD-qUu9n+F>=E7NJODfZA zhDJ}~^$O)8bb;=YZUF^#%DWUf`R8a1A%At_B)%>V*Ffe+svz;tA(~U}zXEE`FMnD5 z@yJNCQw%dzrghBtHu5;~dgZzN-@m5+=LR2tQaZ9h?DpoewE^NOcmCU~r!_o+9F7VD zr$6?SH$-AIgwHMGZFW8uCNbO==@|)TV(m!=%`shVYZLT z$VkyC7Mk5rp79>mIu@+Rv^R~Bc4Aup^y_=FzWU`tq75T8=7vRGW#WagDm^=4uf6ix z=MftlJIpI!FUwv_RSmQ_fi02#TT=pr`KuJIy5=w6cnr?C@>`NRM;7C$9=7 z_cl!?7B4o_vEjtg4#?n{@GR%;EW*PhGisLQEUgRV3cfV8WIkphJo>Wg;MlbDTIX0e z)o==nxJ)luX1trW0}=@%+JDLA(H8D^XSdd(O#4b^PT|7saj&5##l> zAhyJEW{`U)F2WW@CHsxukcLGmSM@g#-V(xHqj7;|+?9sy{O#rZlX&gc=2ra`Ic!1s zSj%@_m?#Sf{OzHr4nEie+-KJe_8dwb>TE4hcXh&Dl|^@iAQ^`~V#V=Ylx#G>8yMr8 z;D22o|70ckLi>9wRws8}zS8gO6$H=BtF1%-X!-H}+Q3bfOjIlT!BGhI{B7qDyQa z1WU$fAeeWn?6<#m1s~2`jiESuyO*{3@^9#`t(&O2dzd9tuck(<>{!@PxjXSy2%4kV zJTS)JT1*gxkR4@?*`-~SWE86hy3$O{ab!_3H)dj<@{8wbfP`(EqLapIRh)oy-o`5hcLEH{3W=7p)?&BEKCk z`g)SvNJAygHZP%$U{Alx9>}|oSunj3KPbTXjH6k527xM7P*`*!DoR(+9``sF_E9*Y zA7!3J_`yC7+PSu+hI>nU0i3X{3~=MqxT2AA!)05){-gq>g$3{KN!Jn3izE)dQ&j4E zd!=3a@t`WE0Q~YJzv9p`W1GzR!Y1+Xuo|?1j_=>baB6d^<6}{DUSrb7h8nY#)N<S9Bj?2U9041drYzG>59|8{SP zD*4l0Lc?kwwPk9US$cYGO1$0IinIaI?>>uXp0@%4B(q2ygf~3vKAY0s6zhb40Cys` zZj4>w=~@f}Ma*z)a)Bbdz?U_JHITd3$=8pq_+>~o`N#M)3IrkG%>nq_Nv`u%6mG=vU!RVO*Z zP^B)@Unu!ltcK^DDM{s5`it30L(M~W*ocTVngBe!dXNqWs*YPA}Xt_P1b zEXK3_9ZK^aP6N+&vZLt*89 z3)&?g!SbEAb#kOMpu-AycAvSqb$F(oe@6lXOyoWvXI6itZ#j7EUA$>j=^x+s!MTfy zK!HNpgx9_<_6JoxomD~?QVcl-2$riumg@%=RucOC19jXXHVL-d?PBLvYb0w@vnm#f zC{dUs)r3Ks;Z9yK&C1ofwJuA?*o608^;4&xUZcv2;2oWE!$Rz`iGB~Rs-`D zAFAv<)3j)+72fNSD0I(;idL1gc`y(vF5Y-|cP;h78xc}Fn?wO1==EXfo$~fa;}0q` zitH~Ke4prlx;&@%DP9_DeF+O49>ml5@QF)por5tOm`mBq>N_>MtFt1=cW*(M`)dUs zTe~3eN!|rHfHkan54jRB343ATr`~NEK?iL`@&a|&nDzS*F2B>~T-~4sm(LA#A2330 z37bL(Pp#@JxV2s0-K4-whLDd&Zbf}+k$4EeAg#XYI88(5r*3V>Ox~sflMesa{Z>xx zch1ZYP`mdCL~YByYKq&n6lC3}VVr_JZj2!9f}Ll=E2&HDY{7%xMfc0Zq?2p9k&JAByU0~a9~ ze^6fB$vwG4E0_Ybq4@guA$J_mg;`z1Nx?Ca4OTfj$x_>ND-(^GIviF!;`r8aB*a_k zP;AT9Sm+aXgw{T3U|>lA_I)ha-ZXTB3&zrokGJ6?*WXDVzARtGp`cB z0t73T%W$->jD{NwmjH;_gaHNs(w)`k=a8Rd`psg*z;bPdQ}q)np-K zT3%N@T_04s@kY%+a6mOdmvp5YZ4;nMAckY(pS)S6qFYB_AQ0*c(@~V5mFk59H zQ${Sn)ncV&BI0ZERtA@0up+{VUy;Oi6fVwMWIiq}g4l(l!)p4Z-a3a#<1R=t?ndEY zs6YNeFp*I}6sg_T8uNe#K)J2QtE-f2r1%4x(PjwCTR!Au-a{nl2;4w+W=pbBEApO{ zLhy`qLz(f3HM$;&4h4fPvrpv5)jg$eFBhmHUWos&usxluzTM(EO}f#9e# z7x=ip6vrRL$M4oIv0sgd_ntiQPk6Ft)30ehnr??YtLw(e7uPPIy%5k!;RN2t1SGW& z##T*CkT`Nl{Q1P!;@lZI^CH1Z{WYg%cS0ul?-R`Zo9*wFSKoE)>+xo$-Z1Pc-PO%= zbJhq+jC~cJ)>}~*Ou+r(l_*Qa$42h`E6c3+Tr%6@(m0Y$;jeN1-=|yuq<{Xut~W+} zT`ntd)ec9$kJa3DD(xahGOgqxWUn$tW$m_V;6-!R0C&2^XX>U``Zgf6U^ju#c*wjs zy7eBQh9mVaP3#Y#3;cSAl>Zc`M28?Wi}NtFa9-n+uxEk zR9-1tJ+Xv$5J$+;>ht?g9YQ=Y0gTQh3H@B`42}mNhGRkikey&VrM9%ghQAJGlXx`r zlD09HU9R?SadXM!NOw`(s>GSOYCk&xXL_`VDPCzrS5b4=l0F2VezAgr+EK6UZ#e2d z6P_WGBW`}o{I!jOIW^>S>6idtHwdpVllF;5-0^Q9Q|*m;l0^-#{qGipsF~ z1kZx?*lq5&Hb393lgEnRmN9O$K=rOoybA6E51m9n+f>=Oh=7%d!zG2cpIE2KKKO%NEo~N;qiH?dVS4#CT z1Pj^xUN&IUH(5T`N!&cTESl&zrWG?c`+n?4@}>u4P6J)4D<*)$vs!IC#@K4q`0eIX zRl%0HYE2N|I)URZ$~!R{OsVgvMfo_GlFHk+rS$F1b5;8h`vpolR?q4L3(L{yFZ4pl z=0c-EoB4S5+A!zvE2rr8}y~uz)%HdPCM7f z(JcAk;CVFphkA*`@^Uezlx~oBKBmJpHuf)W^Sah}ulf%?ym6uAMOf9ZU_TA**?JBi z(q5r_k|DPG+5qU%HMHa~WS-Xb#&!$FMjMBqjuGUi#0Ogi6J5Zk)FRKke-f_rwLT80 zCiEWNCUon^ssEx)GXiq6c`z%kP7MvFh)m4-DV% zCNRtWdePo=E;{L&=eME58_5UXJmrI>@1`KXbrL}*vv#<2^=GdA(_%F000rjb^(rsE zG#zD%kdKj*)Mg=k*+lr#PYD|*qus2U?}(fG(&(V`bt?#i)id#k+G0I5PqYUALi?so zaw-C%$!|>7#V?zsVR@&EyPF6#Nfu(=>2*1{;R#1FMurY763W-$ejxrlV0}JBNTV2g`ES1Cffdy=MoBIi2YKRXAb|1 zylvfgjZy+|EW`*jp>ODHy^(MXY)i8m$}{&2!_ zp8P_G?CrAvvDpqOsuAD&uHtcFoDcCE+fUQvkmIfe68@+rao%J!FMZ@Rue#vpowMg) zC-o3GFUaW(Tq}8i!Ni%_5FscXX4d>I+;v;{4U*|pr53-d7rsz6<1E{80epOSvohh@6b&kw?@H=F9`2?>04Pw(3mrI&Hl-U)v z+n7o9w!e>T^_{;@stBi@2(qC6J;+lESej@8$NmWT`QI_(dV$vH2_ z&K?SWlamy2`Ir-o5a_B_`xvH9^Gb<9$b5&SrjJ+3{@ViFVqMngx>?|9$Ge zQ7db3dAv0$Ufh^(A9i;w_rd+{Qw7ymcy_JBi(m&eJECV+5lgka1Mn@A4Q915$^=gI zWMx$9J=Q(8(aIkj^aUzI07A4jy&v*!lSq;SCZK^3gC2E&;0y4I($bXi=s=bm1U+vu7rF7M*%y$M2}`30sg3J?i>I9$`Ot!c=OugQhesu^*6!(NkmSe_)8^km zp#jP@0X)#FPITBpVp7HmtIizr!07NB0mVo5zB{SAW|I%bdYH->CG84cw94GEF_Ii@ z%BA+-Hp4aUn;SQmR~5fPF`_&~J9M{lRCF^{g)QTKm@=NJm|N-SDr$(x?>@Ysa9eGK zk?U2(eR`E=5bzQ~amyVvOIJSxkOgg~mVX1Or1w(RL_FzeX=~E!oWNE#f3U9Z%vD$4 zTiDxO(EV&L_V6K|pLVu!9JBio-3oZexv%B{auR~m;k{E6zR*R~A>!)zHnFI`G-)aD z^8_W!m>h3kDO)z448_QU`p+eSV>vnj`T$0qHLn+fVsmql0Ug^?D+y;_G`px~s-0tu zm0%a|pJ89F{td)A-2cEo&*1o`!oSX3JJ%oR-A^D~VHo`oT1MDm#QEM#2YB1Z0y*D` z%C}b3o2n{FOFpb{nb-2z8@HZ=LLwup*kK~<4i5ZJ z?BzNs5=9c72GR9a`P+EKP-wEv&{=QE-;%&S1i)DC>6>ac0{8(i zFfAQ&15kF{3(_B?yWp?*4FpK|9I^g#>V*C>`=j*%R}ThbcqSy!kqY8R_{j+}YG!%P zcT?O7Wy=Lz(k^RZ*hmVbnp_L9yY-j5f-Ac)eN<(kJQ0F5=!m!996YKhHze$BG(QiK zcaNM8Rq*YJANY zk)fizlRbM75}u_$U)C5hxoVv={OK0{TYK*GOf8+3pT*k)rw zWS1ouc3<1V*XFx* zoaP70d$SqZ7-ih$U0GP5n<=>aeMKi8a*k4HqX;_nI{j?LYqRMn{aX}Im3K1n2)VV6 zW-KrS_ns$ptf)tJAXe1TPUZkRge5dc?EyGyW%}Fd0NF_KQGSmku(H}ysLW~Q-5e(s z$8U8vf~9o+62{?S@2L0Zp#?mF>J-7qcDM@#6Yy;xFnW5tO?yM0s}%xHewZwm@qh95 zo?%U{>$Y%^rWB*}UIanuAVm}is5B7)mEM%z5s)4TqVy&pARVPklU^nCUZgiE2~B!J z3BizfUgw%~?X~wgdwqLe-*>)WTqKYy$@9F=d*5S>dkkLPvuCTaa#r8S#aH3cY2oRqb;(4zP7*xrrh}hdCiN?+a(QBM^3T#*pHs`Y2**b*_CvbxG>cNQHg(76^+7A!W~ zqv9@?aY`KCrSqy-BN^|Mt^57hz4Ylvoo8tqrWlC596wG8SUQeZ2*kopx@y7!QO#GE z8)I{Eidi;4@?5oq2QRniAMxFNa|HcdQbBKhPB?Ic$^`6Tv+GtocFA67CHw@g%;mLa zj;DYpJt@``sdWd)|JplVVr+5x5_05erIn+n;9zxnxy{RL>R?Sl*aC2&_}ZK4-DLXn zMwW_Yn}J`+sc6apEF*3d76GdQe74O)J{gy}-VeC{D2jJ^>#VV!0uq4$cv--65&vTm3LidI2sr&Axbxkr=Fu6p%(p#|5ZXI5<9PKOfsCk{S%RJ(Kk(}QWcjw$-oVy0df_tp- zss?q;;+ebPP-Wb1)1RkqD^>Ysz~frK-?ANzAU8>gmE?_bqFG1Sg%)4NXivd7%H{71 zTdsxQjqMMq&8&>AQXVINU(lfK6-r=efz_lw_*j2sy8)!H@6t*pSoiC%yLapMQ{{qK=6l;luQ;442u)8IB~R#NYfri!-~JTO z9ZDHBENLKgsL5t-uTL=^eTky{euz*>&}EgKmD8>W;bV2lbn`E&FG@9hoq?bTkL%^x z#Q13E_n%9vkEpw%)(5f--}iKYzXD)a$35_i1r}c(TE6VZ+hN zb46asCn~zHH|@#UXo!X!vo8>&9j1+(W(Ztq+xz@YA-T0v*42lA$CI&reTm@x8}>AJ zeQlE-Sw*;*yP#Tv{72(jX-Cn--Pv}NwaiY(%*V-Jnj?w8=^m{JEAh$%{u}v9thoZK za#vm|lBZx(Rw`ooYQ4wVzAu|EIi8C0ILy2ZNIoQ>)CLx!8K*nL|BLmRSs-X7lv9uQ)dxLL*WJwU%+D_xF7|`dWj^#bsTBxZUVqZb#0H|OxQZ1;RzxdY!}|AtEg525E#fcn zXg*dI=kgC}j9Jw^TtCY737;=n9^%cj2$J&~#Q0qYF`003$##CeK(wfVdWy6zTT1t!`vr1sexo0IvYGfaiO0#< z{!7d0O*-wC@kB=jb`}Yl=O5KgpAmn-)}wIUOWf#y{oIfC{YApVu|d-th7WW~oA?^i zLb`<3jbAi`q`a6{5`Vr*%*C{f%9nFSax(NHGaov_D3yy$9qJkN<~=&yzp47#THCUa zHPnf#9paPnlHOX{KhJ5U6eD%Mj~I?^lq)UnR<)kTR99ht{O$U9#Ho z6ZIP3LBUHau{TYKro4t?KS1_3zkMTrbAQF0!`|$6ihk8ZnW*q9{C%CNvVEhS{^XN` zvSiY_cNahOTuHu8uwG#EAxXGG{H7Xv6@6{pMN)E7=vvwIN>WkQ$av9^p*2vhKVeHR!5u~p>0#ED%`}u(Vt?` zxM^gDA+jj1n>Ck;spo!*HW>Z~JoSHpv!DK-qeB!$@zQ?ajyU%E4qzZEkO>=J2bovx zObe+!oqLp}m5uQw{_wBU(-A#exkm2tPccRKk8nhR0^fZ!BaWDG6)vb1+`9{Rz?nhA z;!n@Ap2OH zuCqP~WqS(A0q|`J{&L6b!6|wii#$lt(B&Gy^!ofJPIV!0jBu--LvU*7lx9&`Fx$#k*p$%P^li+YT--t`$3$Q}g!oiLWoAgXYk`l{r`jr#i9*g5N?W$UID zxrDcx`*VaJ9SGkZjY6#?1Hg1?^YgbLU=J#c{~l3u+`wlNIIuHqQ3&x0nW**)Ys>ie z#)-uLISEYfjnh1k1SSF`fxVaC&~)_lu=Jo_&nP49ZZ3`Qds~wGaiA)`k1IO(j?Tb5 z9}Prb4iL|g3VxG&iqHU45ys$@l7OeX=5r5Bow2t%8`UN1{2_^JeX2`VFTvJ2-EO6K zTcfw44;m4iH8Ojy0Dgx|=^R7B5wMQ3TWxn9rTmr1gZO76k3pltRKA>0J)dsUkn4Os zrWI1N@n&U@zJ(v?ixzyeO^CT#anBoME>Q$5U*iY(LFg!z+?@T_H+XC}oy8+8QZKsR-Y4~KYp2sMSVu)>J_zsw=6KC1 z2%L5^J1Fv%@=S!Lhjw(X=~Y)MJ1rhRU}{UEc}twF?e3 zqdh-oB9YI~?Aehn)FYMF?i-NW$A%dr2}KIe=Dg18s@}aEc-ioySY4fIqWB|*2G;(N zKyyB9X>r<^0tDJT$UqhOu^&!=wb+-8|2aMZHn z4S>YHZP_MqFn2i&91`8Ltb_a@+&@c~`?|ctDBH`_pY|T^cUvB8hGho!1o1=*Jt}f$ zrJ_d^w17QQnt0k@CsFf&i9V{A4y8pG-@l$g;&M@2;u5n!9m^5@ou9M&l5tpp>lLAU zQV=R1a|Bsxu8*Fh2YpgV$V#=NuZdW)zTF23uS}KSvNXxz!*uPw> zP>&PBc0QTet?@ZmD%kNFboIA7VzqI-S+C6N{x;E(TS!djHI*tkiRq(T4n5BV9Nd>{ zDtf+>ug-KaLER9)Kx9VPYuBq{ryVs^)k(W{gsQ#{MZasKirXNSeeyC_$lsB|*-jvg z2X!C$2Fi^6_~~4YMZP|qEWw3%c9HG=9g~HAm+fBaXrZ@nf+fh5*q&xecclKjn-9P* zif|h^cv&>6MII-&HSZmPyo*dDvb?H(XWwvq_D&rvoQtpV`rAamH2()s^;Prv3Zyw; zF*Y0cZN_Ga+CwdCao0Isy|%u-jyJ#c()YfFbl=5fk*=%pvDwc*mG*gpD_efU_BT-g z9Y?mYY>MU2U)o8LeqtniviMz}4=ly3q1rms2NG`7_vtO(F_`GMYqs80$b*t0P>>g3 z`4RLL?XJ;gMD^&6kb=TQCu_TKF+s-In=4s2c@hV2U;KV0$BIV6a=WbZbD>)vtX+E# zDq~-awFJ)Mi;}~v9f`&tN_T}sNz;u75O1rRRUOxFL(Azc?p>6%8D;pAGD)wIy9%Cj z#iXM7ciUH+vl;AuzA~B$&36W{U1lq>v$4?2(Fq{|2|SlC=`r!r%aZ8+u|f_G{^WZ% zan@MDRrs6z7V(czz6t2fB6Cw^Z-vr?PO0xPtTakiwGpwq=Ut7X`I>jAU4{jw_2qjz zmr+m5$sJ)-uizw5PprQ4YSb{t4IQh@vh}*g1p3)TIhiYc*WOhu2{zC?29eu^h1maa z*b!vbhoGMBoSol9W)sbyi%q;51#j2gGO+imW3-vH-;#Txvd6`+&cEIXiU6^ytz|^{ zs0IveArn=D3B#~j^Vfl3EDumD06s5)>1bk=)=Az;J&j6A4XUbcs_XYgsrm-Pm6+z0 z_!D*SXzunE>YALw7+~$nEy6iIw9imlfViP!6mg!`;>=cGyrwdC@TA~D=n^mW4Jxm@ z&CZ0aJxWU3;=IqCNwqTr?gO?zWZDiEzzD5i1x7nS)fgyz&OUzb>i97|uG;+J7x|ur z^av3qiSPIM1+2N~Jy(cgPloT%_QRs zGD`h5uUjXHTQBDavN@&$p}bhI`t(GP;L{wD_}Fa~LHG`nn;Mc*$6Cl+9J_&!R`?o?^buz-)#&%}}BF zh+}k0$VodKcgL}!TIkl7Ii3rk_2IqrHzudaaqVD^rmTsT0EFPp|xA{)gzu zb}tTaU(H2(5V`~Oe}UAqf*=Yoi;9JM%u}o;P87?CIOqbil_w#oS(dg$${uGHJ+`nH z*-TQw3TH_V+{sRgGw~b-xd-xN<5tWUaxtseyZ$JK7t-mdI;}lZW5Y)CN_B4%nXBJ{ zlre?D2s)-nSP9cDaW1Y!Mb4M!wt$czV1;vjXJxsanp$Wy4C+h0mi9)IQoc=0C`7K9 zI0*jAR=|$<1EAEb$0VX&erLR*V?gH;+DcJOh1R&C5u z#mRlu1&}B`;Uo~kS>Z2km`exP$3VBTvsa0G(V8GU0; zb52g@r(Dt9$f+{zjEGhx9h%T$Z>f?fC)>1NiT`R9E!)o*q>zFC2(zzfm-c4?Jra>v%7&gWzn6?sbaQ_=hlmJXykcu{aLn{*u@nNW#DF`SdHEI1-jBo zZ!)`mhx7beA~v}lDo@MXv(K*Y;F7QxyzA(G9`v^Et~U7`i~)cX55kwL!EF^(>gb0v zkI{ua5IVEgq(b{9{&f1xlidk;f~6sy#(FpHgDPlFO*Gxr7BLW7l)zFuq zLIIJG|FOpBBE$^kECLZG7=i*DR z#j4jBH%lc?cV|998gIU96N;j4yE9T6+a{)~2fcEGc%A)L*D~rEj2TNwU@VVuL&!7q zY)o!@nb9Oq8;Weya1FA#Y)Ew2#lZh^i1YrS1Ja9+8@k8yoHj^NE{T&sQRab2!sgQ-ym_9PgL{thFdE$S z^;r@g>h{0{E11IVDYMF{LEdSwy$TOBD~1mpx5vDq!BhjI$Lh@^S%>fZV9u?XEQ@qe zAs-ZpjxGOsnbrR6{WtQ2^IKTpk|3qR7q+t4L#`^&8u{qA{gjzqdDb}n#9pK}eOBN4 z`wiTh3yf_X3AOM|$>WwpVd0C(A6pn30Zc#T$woK8OU(b&ou)O&?m^ElH&&?L(H z9V5k${A^2?n6b&bR0S(9+n*8d-}!4^?tb4eA9)hg1?y;u4nsg916j>KC(Srnhw{0^ ze=k~g6~$Ml>Hzn?qKESlT?8eUJrO67jjEQIj}7%+u@7E^s@@NMBCo_GwU_n6>@Upt z-wkju)_=8IA2{)Po?*Y`VtYy^JNQf`DO+MH0+D!H$nygnnq70+qZRT=&=hRqzb7F? z^a7Ti?wpH#CJtu8#7wu|mtS#$v!5I6EFB&mnZ|t_#Fkur8@SVS21`l(c@;GQScLi_ zMS&O!_UI+1uTI2rzD?DZ+YjTUB>d@~->nUl&GylVC?sr&c+U5GZLebu5mlins7S95X7%NhD3>*xCE)=#iC zdq7o?xbOF&C5rlkFc0i*E!Naafd-q1BR*F_{YcTq`ul?;o%DGXXX{#YW>`(mTwi~` z&0mG7n6A=dL`}`$OajsmyhZSI0SZTmTcThzo%#OyNV6TB!xG63>udtdo1|_^!f5R4 zS#;0M11XErn8{mbK&#)5rG947ipA)DL{0r*S}k*R1jbP;p4|8i`~I~EzZs~4(72rn zj3e+SJ+OuV7FG}j7$%F&M9Gh;r0&Yd=uKQM!b~sY5n(< zIhjapgh{Q|XXPkJdR`*fA~UjrT&HWS(t2YG3Nf<=Ws6cKtd zdg3YC+e{bS8V$rowUyXdKx2Qrole&)KQ5KVf!QC=I+SKTufE0Aa5H-Us%@ayomDy_ zuO340vl@VAeAF1bKmVdh_JwDH47)^WUa&%Fkmxs}Kez$K$rN~s}GuUx;Q9in9J<_Dt5wjV-_<+|~@fIdHzv^1Ag6(3jA84zc zfmmIHaRbPI!LPM_cHzi z41%Nd%zwLG!~Uz;weH_HyPo+QSkND-e-xSq1-o?DUp_`|O1^%GeDY6s?F(xYYHYjL zx&Fy={@0E7pSR)P{LRE_qg>2vG&7PgT__hD)v-i_hQyrsoI?=oBCC3n)_T^#iw^BWht}NVjUL)Rj zorfW`b{BB!=XL86dSo?;kj3q$pf60eD+pi!n+RvTXp zP^mi^`8{7yke4}1M_v?1u7OXJ)XOYnagBb}>>>Ha5|U6^fMLGP&&(qS7`Ffgh|E}R z6fpQ+?eZCVUnWGdV5)p~#whZ7B2HxAw{*aSeU0ljQ7H0uOq``6N9`(n&U;lROpd<7 zaY-Iua<1fxXl50RsJ+QQAw17*SD7fiPD9gHpz`gKOAw8lA}0`l#7QkDg>c34fkSw( z%E-H;EIuO3-TlR_xxfJqjkCYmT<6p&IutIFdas&FoGbQXANc`8HWI*&?xQfvy~#4) zlo4vLx+g80$xkmme|Po?*y?T;%s;isH|qC{(ar6gHKOOVFr-XZc34`#UTm0$eDu|T zx~03m*Bt|lhRu}KmK2|Q>GN(1_#lJiiIHd2z;3O3x5;%bHx4;Ym=99m!(xp!@Zk_E z7}Iw6xR0aal%(v5;+3k>K&9uSK`*8Aq9zjBJh`rbm-MHOi;k0LvM}@$dbI8?(NSv` zFB}{}hxX>`Hx@H2v)&V7sZm}xPqJtAG1b_3N4j@*3c}O1teH}V4+S5T#+njsa<)9< zpSrkB4GOFa>~>QH@1~+sc}#P#9$HTRHA)fZ>cb!?5C%Yk1qF_o*Y4luM5W6RlDA(G z{jB{<;qaS1KTi*wX=RFPU#?m13ZNl5TqVqA?a{rYcddMt16I7=hN-Zm!cPo$?L${* z^@<{PuXBg|zRO?8s`>VrbMnfTc{_e|+jk!(nuK413H|ZhAGcnRHaU)R{1|Q%P6D4s4|qV6jwVc^ z2#c_i{eT`$@eZ57?Nh=D!89&Qffs-V6^Fh$`oZdUh5*ov>EYliqipi%P+;@Gl zroo=DHoUYqG2`KFLz5Hp0>f5k;A2Y(Ix{}uGX~^Zb(C%n;|B}ZSNgdXaO4&pPxJDi|KW}>#Y@e+eVj*y+1ih zkJ`ds2)4^fPyx<&URCki7b}*ZRk*TZffrfdbjh_5qnK74Wj5?Qj1Py!da1 zrDaxa;#SS+?UGxmQ9Uu#C&`ua4b3eHTQ8)qQ5NwXvG6^yzR#k5dKrZvTPz)Ur?b`s z>4Ze5q>Yr3M~d#ltM@%Myps@<`7thg%EyV-y;UB(O3tYkRyr3UFL?w?-chBtvJk$B zJH#vHnLTW-xtq@WwRx)0XV1n!B)48X&xLYe1eMBSSJ21dFp$8d0&2EKH6!;hubX~u z{OsAEpU_Y1n01)ou5XRs9S)DrZAc%|wJT@4bUjJ&T`{8W26+zD7{wVYcmHGOwNyD} zZ_CdCb?r{1nK4t5Og3+w89R{UJL@Tyr2{!1ZOk)nj zw@Ax&r~Qoc?p&(zY5Ab`EZpp~v$d8uz3#i19Bpz4VmZW|gMUm)bZ;=dgf*OJl5bpi zby`H6bSSD&D(4;klRLsH^2c6+{X18lcfdHsrYY7D{ZR7j*D;a(eO`D|Yu3*NoY5;8 zy}{CM4_9a6TYGi3UydyF;s%Ldsyr7PAWF}HieU%I3hm1sWKMO|Z9Q}4^DCz|Q-w=a zihYImYTD`sQ)#u*n2gkkQ><7Gk}fMsLw!**-L2Qrb(O9!5DPEJN{W8WUf zwl)}2`lHD*MsWoOZS!HUp#|>?MCqkaX)M}5zc=5`=m4WJ_-RX602H(i!<2ucwDt(Nf!ly+Kj_3A{@iwLk-yLM0)@BY3I@N9KEor3k zwZ(crs_j&Zgn<>ODFx#>A5uduXewk}NXJjAFYkymx|-q_;@v2QE( z*M*utkUR(Td<(pc?QL5Uov6_795b_L3CPnbd1zJFTK|<{{>H>y=_enCpG$}LA})8s zswG(?$W+@vKPwP=F{M}!MBH0B2vP!8`)c@F$MkM8H6fm~i5D)$%bCI9|BXE7A05ws zGk;G04r+nwsYRL+tEW7uHZ?M()vugfpU8U^pO!?^=>w7(dnpf2wAxe~KgK+YPwJ;aj zTRw`M>A3TurFP=F9s}kO=9FGh%N>zKscMUBm~rjnP;6-sAj167Szh4y^!nBzjz9tM zxqMrQWgJTx>D-_3HIy#CtDm`{xw(PYc;5IXg;hXKf;zXZ z;-L7hL|fU@cQ>Cxluxp;{4=|aEB&gWP*3#Xj0XCev*ERdtd4IbU-}lEg?g09xnf4K zGuOIr*}oV&`-mPy6l9{_Ad~A+N9t%2j+-^(F^y4A>U0gt8IVh|?L<~dO6IpLUyO3i zI9>Pj$kM4?n|kn%+q&kDtCM(@ufVO@-f!MDeU`z^oOwZR6QlyW0u`{Z&7CX~QDoUAiEaz6;~!T% zaDDpt=bTG%{KYpu!5tCVv|pHJcE#i72J5O?4?O9eC2!XA6$mchJG{c$pr1EVVTHvde3OV4uM6DrdSsean?~YL5#geOH^MUTE%bdDJ zNfPtZHe%OB5|=7$Nb@RkoyujbI=AR0m^3NW?~Nj7CI*619}PA#E%jn??J^H%Nd6W~ zbHmgB_Nw;d$5X~v$ob_cK&Rkf^Dp4tJ(Nthn-5O8vK7r3vDdrrDeSjqHcEM#Aa#jN zgFo-J3>d+~&&5%>Iy%?c_8ah)@?l-AtMxBxuQ-ROuYL(#GSC~>dC4S`6-V3G<#K!O zn*T>F0$g zt9M|1>>Lh&u2-$&-n!PB!i>jS>{p`f%4!bi>`wz9SJX*?Qr8zED8GmpuRq`IHuM(b z;_zHK!1AAlt)NF@R)KT}&a3BIXqVGY58qyF-~?Zi){Q4Qt1tEBs_Gwt z@Dw@V6uABJoGRjU&-mjHBXAeBmfko5g)usGPCF4GuJspd5G=W8G}dK>C1 zUvVcP-zKI|5mOI66Qg2$Nv+7S3cvxwStR(P7E;$0Q4TGCOZu2&zmWW;%xlUXt{yaZ z$n@fQpX6ITAJEUb*bWM!DjA*AM=VFQ5*Y!SURu{$2>TX8mSv2pLGvw#R(}oN;@ged zdFtS_C%2+6wy97xk`QkU0-a?=m=w6m#~aDtJ<8@Y(>CwV{id@iwCESe(mIO6=;2f5 z2fYJ41_OYzJsr_$CV*UMfwr^3*$CzR5J%Cs9Nn*$cZbuRyFcY9M?8C8q)j${kt;}v zgjkXDLL8QlKj=ySIlCiTtM?^T-j^x{5i%8qaU(tNWEd57O;-Q$4DP<(m;d{Xa#=+P~dM1?1TQIl5-CF;G=0QXC`EWzxJ1`4MbysHvP7b9+ z>+ha=u8Pt+F0r5=Su6+O*PeVgFct_ga5}ma$;&h%SJk+CgLp<5W*Zj@Lwyp0+X{OP zn8MoYj9%TbO@XeA3h80Ro7E}0BXr-3y?VwS#6w4fo`j(uEnc)YM+Fa~3wuXVIG1kJ z0p?SbxuEQ!R-dJ~WlS*lPR5ZUr-dV|y1tWLYejx@cQtRWA8|ltI$M`fX+KmfDSr3B zMm5!%Oa)qfw7F&F2(e=Uh%qHvVX#g4$)Km`ghR-6!l|544bUxWUBmKTo)GVObW)1RpB z|G;ull-HyCsa7t@CTEml@!A{gRIjaYE#0kL^5`UMS(2AZ^iNWbuCd=qX^~RM!P?`@ zp>|l;bt86t0u8%_9JtECzpx{=U;07G>u)XskY;nrEUb5MuYxzL!q3)4*%Zs|!+nu% zL~g%~=YleJ7Eg+G!+Ah?&{e91J|nVnH;W!hi#6d-5)<1mcoGxO3_al3fHRLkZ*(J4 zYC07>4^5l<@Qebh86tv<#rwVvxRc6BpH+-DmJ;pPi-SD~78XIG7-Ipe(*$vJa>ksR{K#iXd@XMaQ2Lrh8+dZfea{7ZOF)jPcEAtYB3&46+;2@4P z*gM<%qVztDI`3L;bwEpE6o3PjwQY^C{g^m>4mArUYRSsFi4?l*ta5u+!D!HDu6a9Q zx?k{mKuc^OXTP|ir@FSwvAL<_;-1&y0wI1gyAHm)0W~bpM0>X!1%Q^Zz&?s>BwgyjK?Uuz7whelTTR8es_Xr z2)y@Ci2mPAh+~G1B7?(+;y;ty5c#ZS$!;lL?Uj6zP}x_mPqGrMD1R&NV-BSx5zQU7 z%j2x}?d>BMw-r7GF$+~bC{Q=K7EHt&L?m|^ZUpl03up8v{jSJ-yI;PDh$Ozc=EZBP z9z>RkpOybN0MH~#yS~t*%sMi~8>^LbB1t6wmmBYcDwP3t1Nz(T5etLe>_4YXmKI3kmO*^&f+g zVnEoAywq04i@#N`{jIQ_|Cbr*khKk=|Hw$cEg#vv9{{l4B>SkPdW7p71PSSaU9g9_ zpj#_E{K+zME=oDh-H zDDYhm4gkERg({B3?I~)MXS38(5+_f~v&(WB)w3^P3p)tcP+H-h;7i!54rfvQiR*SQ z&V{B`s@E_)4Lm@M1<4gPuIT}NeQ}2#YH`xvD@Z=ZSryk|i7s5-eA@zc17{ZWzY;mQ z8eK741__X;FZ@ul{szBE&s1`4>jA!J;upw)4vuf}6b(u+2}5m-sid<#*x;L5dFspa z96cn2`m*0g>RVN~|9uZa3AZkT1qmBW@GYD=k{%MLWQ28gcj?xTgjkYmGDpWP;K zDf`h0wmuCl^@KbshuDJW$T3P-eFPqc$(ksa(?>1_Ja+!*YY-7Es6|~Pu1TeGTZYu$ z8k)=%EJMl`nU_&>N7%~wTn?WBd;SX)Yes}F>{<@-Q^*@EnCrWo>Fwza#&}MO4GL7n ziKQF`KJkz&J`8FOd~RIKdvf#Mk25ev6#rh17H!YP1uAdJLYo?PBC4Zy{a5>v#OzSs0pT z93PaF&|C{1`F6|HB!XR=alwsK0L;v0IeNpvDfd;NCe#4yTXcQ{n}~#jvD6H@c_4P? z${r1fRej=2Py{RfxNlkKW)^ZMqgVcc@A|F(ZTjV3Y0$q|oBza({`DXTjh*Vy*@*tC zY-aLVuGRKy;Lw|P7^(#-9mow-&H$GHA*5m|_O$qS&C#1ODH}jZ4gmCq^)3g<9@%ba z9NW_pw(^oTs8$LvC24wI9>5R2p&=fl{tINb12GoIG5&-q`~nRq!{iU$I8XWlYk{%@ zkZK+0^zNE(p>V%IH|gAeKf#I0Tn1i&5w>go3-s*wF?hZJ$k_FG^a)(Sj=C> zE6_4j;18%oMV;o%|6BhL!juL?B!RzgXS$*nD0f|DgSX6{rL~%M?^s9O9RmRUFgk;hrh?y^ZgpM-X5V@ zvuU$}o36gc(7gM@8G=a5$W9l$eeqSr3Ssj^?i7+TKsbOT-}^sYC9Ab}+%_{;1)=3^ zd(Gp7)}sT_*PPXxd-|4^FIG80j#se{C!RfMh;b=TePZ{)nnS}X*7|uT$tBv`d*(@Q z-i+3|0xi`dUB-@3Mp^jt~_2n-_4)>OC9 zJ6Wo7%l4#z%vEe=92QVKX{FVI55kA=#zZF{1odb3@t4o4=z<%`TGEGmCiLZRxT`N= zAdE04*xV?AJ|!F+cYfWux?}!(FH}vzn6-Y833W%ApHHD}{Wg&YUKY{IQtB)d3{?Mq zP3LR4>s9-K*LzGL6cR1h@%9@~rOD?r+h3BVnsO0e^VozX|0G6;{*CSS8+=YH$GH-^ zA_6MvzcSl`hdll=HSx60{w-yZl4PAQKEvj61yPe)o{mH)WpG7^y90%6$s%OcrZIpq zbp2a}@GB;l{lc^Pc45MRt5D&@if-f+MA=8f_#kbfdos6gsF6v(S%F8JF`%b##-~`Jq69u&H?da{Hlm}SPpT=Fz%6N!6<)>lV`KPp-6&q zaL1-bfQod&w+q4cCJ#`(uP(3F%FyInURhTpcU*ykp>AVP>s85cCEJ4Slo>|92lWCe z43WI?R2zp(){&NSxnyLjhaF^8k+TvY1!qwt6@PCaM_i|j42>fPclD%mg<4fYkMS#0 zd7F;myLaN(HG;;h==)^n)yRo_5%76(qhNKYDOs+cKFgG#WRN{w+3Ly_OgBCD3#*~h;-Txq8rrhEJuRrsMH;a;x$o}wCA zV4*Y4Xt6hMxmPHe#!UTXqLNEp3a3@__xXi|eu0{AVWDpH!=0pF^L!TvnDs$)1Yw^< zq-)Tz`u_g8Qc-8owwvSOY&-o(R)X-Pw?mU3uLtRo1;Z{VQdC0EhV^|NMUbcd9q&C( zK%;cE9Wz*>amn-Ut2!TsZ(LsjY-SIF)vvpkainfW5WS`8I(eBMBx)yZ&fzSlQs;-; zK9x>B{C>Y+l&Z;lF6~A|g)Z+Dv4y^b5kCHPh__{qy4(QhJJ#9}-QCK8%@SoDmB0o& z+87hPd{?6Cjj>=)LZoSrrK0rjf;R2uRX}osZE&!hGh^&An6Vr%3*gDROP6#|Dgcp5Jfk4rWHm&#S0b;w_?g?jkc%t zjk1zMT+PDDmDP&O6`;0Hsd#)_|arZgD+ux z-h{~6E5)LNl*YvA-7HThtrddRvCBlY0i-uZVDiB%n2yI*=W2Q)nXXkG$thN~A%tIi zYwdM&+-M25FvCH!%$9|tBGmhMLB5Np?QmvI6iy2j6ZY2n&Hd_0WSWw6YVOw~iLFHA zmW0`EAun%rOqh1U!=49_+u!M}L7bk@yOq^6q}$$en?ToO}BQEkqQ)Qks3}lEn^4H9i9cqZ*KsNseZ+kcMQX9gqCI ziU#txqE7xzls#nSGw0zyqwLcL$tw#)J+=>KwM@`@UvXfl5^AP1YNHOF9O3qvTJC<$ zNW!o)8)p6f1)>DaA7SiDJ>qGdG+$TkoB}=0iLpnx`}063;>Sv~O?`=jQEY{yqlc}p zubX>{_@G2yr6yf;TTI?s{Ciwmu*4nl+ksEhk{q+2!P@nXHCRVuS}Ef0)i}n$bjIp5 z=&q(DTN|e`EU%j+TR^+nY(bYhuZH+B>hZ6u6y|UH2_Mg!RohC%>{UA_Q-;sqv~*Qb zC3=s$YHBO{hXEZiCW>$=Vr7pOanK1wVloWvr@!=DQ|;z`*xj8pS-KN+>G>{? zE@i*nKy;Si8@k1jG`rBjUKmQ#5gZwRZvCcf{uk(+ck6Se)yUX#l4Gt+R(DGOI&%c6 z$3ViJCowlAO;RUe?f2va5t+t%fN1sUk9C(8h}2X_?MX-R!u9BKQRnMC%%H-IOFVKp z$8@L@nwVgnNkHPeQkHcUO~1GtMBp+q?)S)1a`m(p8Vep%l8a4H{TfC*Y_cc2`2sW8 zVT7!xECza{#c?S|(YZk+q1fMAjv+00z_}nn+F;|bbY1^&Hi*;ywiE4}_FUTQo)&hG zf9%05*zWgDU=sY8-k)qR|x5O@-4jyh=$*RjBZ}vXTtu#^F$Rd+fIrx+UzaBU&L91>Oa`jwyZuLrYi|N@c03r%U!YJWQV#byeZn& z1Z30J_4E5_TvUgACyMc8eI&{2;oJe2xb(Z-X6WUrFYVC~%3HEMmJ!fMgH%_%<3?be zh9{sN)keWmqMXTY>T@%m&W9X{1|F(;d`B=sIt0&_t_&S*XN<^=pG4NL&*J?Grz9E< ztd9VLm+$9m*eRTg4=}0+o|lANAV(DhpFKfCe!ltvg9B=U5^`MS$_eSL{vPxuqKu7Y zvq!-6<;DmOakO5ouS|55#cmmsr)1kIB6U!YT9V0t2?8+P3%{TGO5NDJQx=tUpk z4}xK9#^7wi`_Vz5sJ=ybY}^Amy$oo}C>`*douX$~5x+ot2Y31x-{pRxVu4Zl`5oAN=@4 zSgfUIc7#dEt%x`C$?f;ZZcU_t(siaJhxvH3pEXAg@IQ|{QmZVsxI{sD_l_gC+xAa#MpekSsGMJ7MzG8((r%ISb|WH|c1v?$%xP^DI2DExZ%7wA?q z57FyWuq4qj`$%!2!S{u^rN#Rsr*BKe`>*8=bTVJeTMzFWkyi#;13kAbfJ5#rV^tva zLa;hNeAFJGl9|9i-ung02fdmk>V$Mvgz4j0rm+M)~pvWcypZtBfUPN1(8A=(&*%rf}Q!0T+4Lf z=1CAAz!6YprKcVZUrjluolu;Sbmb@yK{J|$%*iQ3+aG9>m2Yp{D^eYGWq$j@Kdubq z#aYX_N4%OnXN)l!hrY1(&-Y2`nHJlUPN9aHskvIk>j|bO#opwKfAd8o?~3f2R}Q#L zPIPtj@=n_2n9u4Z24_D@#oon#R}D=aW6q6s;eBU9-N}syZlr5KISX-jU>N7!YrWK zyb$)dE(VTXm)d^eCAX`x+0&a-{@zypZQehw>!;Ic^!I-TvkPJ&jd(5j(e*=k^XU4! zzkry3L1)acpMg`sjV47{nTgX4YmPa>rXye%x3ZYxlqW>XB};tva+@0rBYcqB5np-Y ziJs?NP-5PRo>`X-dy7>^DpboZtl^B$;P(%1phu+N(=!ETeT{WA!Z$+fgthBuPc-Ct zWgInb$0~%bJcJn?bYgXrRgI3%THVdx#~Ph`#6A9240{jjI}C8dgkv`=Tv*~_J+&*Q zo;UhiLv-Kf^wtUfK(%ltjgNGiT#-Sy=*0nPG{v~&K-|%LcdCPVn4z^R7?#bElHs>E-#J>??`8zA! zvxPf=jQ(Pf6_vIW$sZR4F#rd7#A?jIf%d{I=N~3-lb;A+v6eGQg+o z!JJ0l9Ri2st%0zL)M)2bcHg30Ex<)Tm3(&!_sC}xV}p)f;zfN@g%xfK#5>%1wN|R{ zrlPKualtZPM!FZY%6nx%?YaXL@$lnm@44I{LM6S(1iR1)Cl+#+vwan}VSYBoBurJ*S*Pd`+-;PNM)$pR_syQWLmP4u*U+4t4k7Jv?k7U0$JIGw6CynZMu%<>|H{MwzB}kx!gWtj`L2^Vz> zAup}3e;>W&bWe>+aW?0QmS90fjno`xG^}cQ&k;BV{Y}3%eA~M=UBmvo$Mt`)_ts%i zwd>pP020!j5|SdNq~st-iL`Vnh%^JzIf#UG2?$7ul+xWumxOdTB1p^-!{7|#yL_Jg z?046@_xAnm{T<&Q@8KUFj%)6<*1cxk_jR4ud7bC!VuW32EUkhXajrxP8?o|148i)V zb=6ZhQR=tl?h_>?2;8Fs6iQ@J#3yML;XYvlr>c1{sZJ9t=kMM+DnJ~gwpBmw_kC8> zb*$-K)zzHz9I94NH@L(GUKcPw(JW;y8{>ne`~yg95%a@ye70F} z>lEcyXvK*XZ2nd8*QgaXIBnZTmPw#{Pe$nX>^xU@&U0bWYKdI_o;Rf3xz`A1v4Ugi zqv`8YFa?DoS!^@Qb;R)t3|XoNVR!2XMEq*V94Y4O3zwTD`jrFJB=*MI4>rGB>{0npt+NJVK_f%t^?sY6)cf|EB-domo$8>@#2Z17+dcjcLR z4lGgFXj-HO46KiALCG3f_%QXYlCCks#)A#J+YZM9IduF*;)s2`+Vj(tdSlB#X|FqmwZ49L+9fK-=ZtxUr5 zGSQQB0(0Z5R9GoO!h|?&+d7PiQfBi0gFDw~9`z~Av3k^j0t)~PU32PCtYThoJ*dVD zl>GzL+sxea+(-L(ceZ>EF_=p{hUA@z-VmZhJ71=uMb>3a%<&CoJhM#tR<&P5I+IK_ zKM|0k7_gfj#=dp;8o6&SA+)XnO?86sLz<$5k;(n5B&Wm6B7N;74bi$UOaqm_sJBEu zP9d(4+c}PIK73>yOW00$z;Fd;4>xTiqJL}-Um-^U9>78a*NO@dD-uJr`E%S$RHhXP z6d4G9WuI@1Nf9iM-`Oq-6GBtEf9xP|K{I)m?S4Ox7O35c^c1+ccZ|Vo>QX#X zr&_G(OifEs?lFJ4m;qXbt;PcS7x74roJgSny+FYN?;_KY$Jb7(k_;N^r#8qxh&;&= zAW%Bh$EgGPlkEeq{S_o&{MHd1L<&#qHzn#|@+sdSMb(^hWj>%^^)}_1txoRHUJK=rb@P`IJ5^WC> zIcvYa)}#}jOGbGa`UA90Z^;B$hD1Y8$7sZHNenUCQ8{M^&ObmU3fjSGh_6V~H32;Y z0J6cK0jm)uvO#HFMyP0h)wc$RrWAJXN&GM=yK_&rF%fBxE>8JnIn>4yH$dVt=9Kjs zn&30EQVbH&oRSv(Jj(cxQ+TNtLbCLJvNfjhI5$1`y8Mghvuvy?LDQDCU$P)5oE3m+ zyVb>1@zPJWEbh(ARbjJl6#MDaXOwptUVjgd3zh}eJVoT44s56`_)36OW5nQ8nN#YH z4*f;@s*gtRN9$GVrWh*pOzJ^oBdo3}%zejQZ2D9b=xGVjWsz&H# zZmSSnq{o6CHq!sxI>V7j0Bj&tP%9!*F5JhuA4{7kA;c1gG9{q30{D3!nE0!K#47pO zvXr#1CXA3MA@ub!cWT4VjT1 zG2TyIz*ysk=k`fwI`+5LC#{(YRAl*M<7T~ExJp0(+Uo(=s=}sw&PA5Z9S0pIP0ZD7 zZFWq}mUm}HINfgcP(3kJwvq3Q!<)4QF@knwEFDquU#lG(vWcfF&U^(dOatK>;)a_loU}Cx_j&Qq7 z+B`_R&8bsNO#6Kv>QR*Wls9Qqo)zxho$;k;v&<`yRcT7F&cBRI?S*_t9cktK9)e5a!yJHY9n|2>thDpHev%#apO4DLUKZBZ*4NcXQf?s7y*}q! z#ChpfC~1Oo`HSxGH?1#ouN9^jV?Nh=E#PGV?S#(4#z>#;TkQ=Ei3M%uH@DHdSL@8~ zrwtRcF$@Mg>C^cXgEhNXjrRFmL8qRhKU?AP(xxdOuM2_Uv6&tw^3Y?~pSK-41I$`lMwV@`I-~ zY^>gjUoI#jtG+lhRZV(HUfN;%{gK}NgQi*;$4$-j_j^Ii6ZtiDIXaU9XZ{Rz{_3t{ z0;6x@0;UK$M5D@e)i@Z0l}lecFRJ24#q#t}BI&voc%smfrK|QP`qTRjw5ArmVFeQw zP@5iCKRnz^av#Jj0U<;mP?`;F-KP9ZnGouR#_FSz|i3reN|0Zj)+Cy8@Nu0XybS8C1oy{eQ*0kW(FlV8f zBChaK2(48&&K75Ipw@3oVMK8*pmq!p(5sovOZg-be2_2)@>m++n6$;pq^ z$vH;Us_c?=Yaw}8`vF%m%LlO7!`OVsdOwX;gPG$I;_)Sd$9Jze0N^o`vp$ZT5l<6$ z)6K_B(~SM(@eG%_9nSHwmbC^+?Er~$CPO7+dPZfkb|CwPt%r1Ck-dd6=S^4nB`P-N zCeTb}*PO-7*9*e>s9SIADjR$07-RpyO#Z=d;Fo$M{+Pn|@on!3{F|%PM(#IhzOz_= zaW8iOp%H1&_L=KZ@t<`AaL(fq!T_DX0S3M7fu63rSq@ro{{Rh~PywRT&|M0!|60xk zZTAjVo>vn(0=^&vf=>RuC$%z+kxpCA5Ua(^7AXVGY2--B86g#n%oo>&!zkOXY zL?R*P@$-i^q!WCvY&t;~iii)D;{Yei@}=MT0U7ExT5d)RjO!CL%Fz0_n0$t|`E$q< zFLDKy*Q1HK_OJ0CQLBC~(U<^1??SPIgpp*MW8KWG8(Q5Z-MikOL+wbf)VueAk`^Aa zdTz*A=h52?RVQJs_-tbCwLvkR=g{xG#W*k~z+|W+2pa>;5*B_p^yP;S%w`S^X*plL zqGc@1Hg4tIP9Y7_O9aAPOAO07iWBPI14atQ0~SBycoGM7@aUcn##Zz7u{r-WrFjka zel?Q*NJuiLeY0p3x83$akS;vvSbu<9wkqagE|-iaUIB{aIy#_uXJ&u0Y!-lx%&s(A zQFHxbFmZN=TquXby2AJ>2om{DyY#UMs1D^4pgb+d^ixicmpt;9w7CD3%E2N&A(MYVnTk~xaat;+mC+pps~XS(oZRc)n@Q0wwE*YaUaN@0TarbnS}gpX=S(iKH6Rm%%%p|9E3S6@S#S zG6$Vcv}t?k4u@dUHwr)Iy$9%T6ndDpvW~MG_sLm$QI<%kAsin~Iol0+w^-LXaVkV; zFN% zqK>!-$>`i{LCvP+;)l(9V7w07vY?HHHKlT&6eg9)SJ%Ml z9tAe9yjdPf&q>ImRNPD_!ajYFW*si@r&Iww1c*DoZEXKU-~68pDhf4+)>xu5 zbGpV*G@{_k>*1}&hkl}C&c7|tK>O~@teaTdl)9)!?7$v_CaLn>%@7fJ+TuUf_&;vs zFM#xaZ~OS&nf@G2ll;?}zT2LKoiuJapY&X@XD$gd>@V^ zQ_4~-TF^V7JLV$}`Mn{}>1B8M1Yc@7_h{egE-TQG*YQU~9&=|oE4hkz79^-az(wG- z?-)Dv4bB8t>rrp_?38-O7CZeLf)Q1iF=#co3lak+6+k;~lEq{|Lh5+SZNqB6lz5k_B{BdZBd<` zm6hE-Ee*mqLti{^a0b+w(1-mb7h`AhMw#Y70`6VLm$j0h_bqr6 zIgG;AT#_S=>L>D%c!3`XJukm8jmjMs_0UwkZ0f~nLR9S2!5|-5uVKW^eS|hNVlv{A zY2!V8s`_P84|bIJ3Cr5K4L*`C+0umH^b#wK$3>p4YfydcU_`sGjgfRYpO#S>x7XIj zX1(JjrV?gPduIF+r$kb$Oezgfy4!l)Yj5TJ7%)@%AOFz)*)Q|IE~!Ey%Vac#mi;jI zZGmfYeox8+zO<-Cu>jW~!dKCo`v6knEq|n?_x;`FE2!NF6(R{~YQGWfr7CtQ!&P7N zvl`h-3^^!l~2=#-9il_=}=imL)BQEc5L&f*mIN$`usY8`OJy zKS?hPA=pgP)l~D=$E^<30710zg7OM?7uw!s1eH0`9F%sGQNv3UD}fExh#X2GPcirP zyJosovqh#2Zb4GWTLLSi4XoziDD1WKjbMHgW8+=KuKnXHUgIiV{gk0fM_uKhT%uPX zZ5&l%!o&n0wsAb}DuR<~zENPBKVuQ=P^&xj2L`)CeSPH7e@>|uatj+e1Hnq!3 z-G1@lYg8ErY1jaR^`RYh9p=SbhX(QUjKVBuU)l8KE6EB;GAh#y&u<33&LxTZnFQe_ z{4`=-2$oUYw2f~yh53K9-(U@2B@=9g20%Dopm-i6Iu}q3U8}vIP!<1xOLF`JMC;zq z#wr=q17LbV>^|-fkzs(5l-nfTePkG1OBba+cVwKYF?oG#zRbIXjm1@2Z7%V!8ykeb zI`yaZ87r%JkCss*Y_#OP7IRtF8!gev`<)z7H>PS@s@84>tMLTisOyocqMCmL8i@xLYN+LLQPv<^0 zvfjF4`})SoSPYb0j^EBCHTvD|H@SGXVq?cN^8UPq`WCUC8AnIN^_yx=vD6U$UYo81 zQ1C<_+3R3t*7$>VevJwr!(J8^_18zIfwbTEP#Pf$PLLwo8p?TT*5r{VB230tai3^E zvliwB9fJvdiZ;Jwt}l~mI0o9HG*=bs@n&`&_&z$;lRwdzYJf0_SVA4Jh)io+2ELJA zO%0aiKAhaNpLO>50HxY{RKNZQ8yN$mP5>S*MY63cz06IM<0afsJI)DM0 zQ(8BZY0b|#Fb%E`kc;#Z-F}$l`25PVAp@raz7*ThYvLpzf1%DyOA33&^XOK|4|_F^ ziT2=ma&`Y(9Ai^yTA>!ryqq@zl=yA}b}Zm$b~s=E)x-On9h!^=xz19K0SvkO(kAV7 z_UbiC`wJr%jx}yco`kA9r_bTd*%(zHkh@}y65zia@vhKVBO|uA5UhmX%kT^vnM#W! zW_;m*H@YpjsA`-&$M7Xdl)Q9JMAV&HWG&<)PR>N_SS(JzpAnqDIohFm&Ui6AYUOMr zMEtYDve{)Bk2&~Lyfzsop5JE6D)x=9Q!qB#7LwBydT`PVIp#r z;Vh=k^ubpCbo)GA-G7$Lfl(ZySpt*^Iv)aVOZ$IrK@x?<%U93_IgvURyuMp=_5yR& z8x}r#(ksV)nTyu_fET+q2W$ix796HcRswF~S~vp@oUGsX$Q-tNr{V@yLY$C1h)86E zFT8(~C$gP$DV6qn%CNvI$P6Dn)Z6LxSAy8PPM%i%ZH{3Do_X2af;&+L?|v^8Dsq3% zsfV&Q0ztY(fbx+LTy{5J8+QQsxhh@ zjrPx(o>SD;ABn<61y}h*A24fP-NVtUPg?4D8V``VLTtWfVW&OMTmhfhECu*HF zC-!K+U4xmM_OoAeOR-_E>*J8(X+-PKLf78N5g>;*TF4?91r*<$YTWYRb5oBEG z`{HX{5PDO?MZ8B7D^Ah~8t`UD=Sy{!Cwp@?7Rohf;0K5dL+7K_y?U)3@4>MTPY*Z! z%F@s|K#P9ex@e!9s$gSRsQv6(QdykqqM?(lH%|%8rnA;3_)H7KuvTRX*Y9)pCusdY z{Z|ki(`R|?YytGLG{$3q9?T2Ap4AH$E9k-4B|Fbi004-v&jkRuM`4g9Wm>M3*F+d06fiFU!yU)M^n`9RZK!Cglci5U zwu99KdD1DeoqTSX`iu(UKWz03HiZABY}yEqCF16*sZ+5c!T!@l6gcQ}2PxEU>?%*B z422IRf<^~g_~4`Yyec$YiPiV&=pfzpt+wIWVi${^;g5n7Y``S#_4f}BQqQKAe_y{%~EnStJ4G#ax6Z7^G9Fxgo*?26o~ zgFVo-IzImrXReV$(7vo>Uh=RU@Vs4hZ-pCIVj1hiYtC z<|$l5adz^TA1{l_fz|N|>l~mmS92I4%<~d$PEpsEByu8E&pow0=K0j~xjWE_wTg2% zn{!w4{*H#F8*2nYoNgg&ODZS}!nHizeI<%sdyu2*>-+atIlmJgc}i*qX$D4m$_nXy zhHOvNWlEMpoHL*Nm3u3Pbc%>vNj3I6AW+hGFCZ@(aYw8oQbNq}F;~-Js}H7i%F1oc zNem=#P2IaW*T{YGA8|&V*l~?|47LDoT}b%688RB73OJN@klwSDuSZ=;a=J+3Y^uaw z&SVC4J~$o5nu@wLqs#0yzYd1oC!sTGLY{4q1WoWT+Jrxsq0@bS?3+eMPH)YF8riNP zdm>gZJc3L6`I}|6Cng6VUw5iv1T1#tiR|%Til;~#+H{1OcQPwh^2^o5svplsr5L)O z#3L%g?V$FM$U$LIrvSy`N@4;o6E7PX1YpJOHsbZz*SRFcu0H4u+OM`520;TIT%GOA za1Uh?1GvY#5Z-oUig)SdpS`lZ1sd5ZbVmIQnemUzzJ6dP>ybJo{S!&{zm<%EeWBLi z3-KKMAD|_G)2B&CgHG9ipyO|Y5j&Vfs`F7ofa2jH2mP)GG%z@=UPx-uLzlon_kzHO z^Bm%iEtLphvFkW(Voi06K*s>k&tk{-`*Nlgt#U?xyzw|?FqL>2YuI8>YP%qerNZs4 z10v$wTYRjl((eOV^Vij$7{bc6kQ;A=@^1=Pp?F|Cfavl&v&BU_%UZlRg!g@HW^48M zPhlvR>{;pYb8hyv?8M>DKkN);zlzG9oI&ex9hIUN?q&C(P7=5 zbpOHsevlz3_r&U3Hv4$M?ML4$B0Z&@xre}QvP*+k)X#hgi_v?f()sIJF_ti0@chww zt%xyF^H7WV+YJIEk5K^}uM?qbzW!RJ3VH{oiUgmy^jV`U0f!e~_zOf_izAd~HCDR2 zs?o>8k@EAxb-m--bgse#sPACs=*QfRHbReAn)VNyj<+42{NQ`7(m+O>LnN9i_z%`JH(jTDDJdH7C=}K>^!p&c#x_S{O7;@+4_i@3YeMDvA zhh0>~b1H=zkIuANUYG=KUd={X-z1I>3G-S`8}vtC!acq9=V0{uoIC-+CB(goPTHg`ea8X!Cxh55zBUJ#6wF2x z*|k1M6OZOBP|n2RZ`LIr!q0JMeiu!;O~sjZ^$i{yPQqsye|Ued)DxJ4lud8j+j++m zaC+fVufXj5ffLIpbMGU&1vNnzYHInhZSv3*TQ+*ehMtNzlemIXBvf;v&YAW8;{hJEgMubkiPj``swx5-HkL5QO>pGG(~`%93-+_(h*_!F&PdWs zZ`XzpbC(T<*7>>0+J`k)U1PQ%9u0*=R|iXxMPN9QO&{ztUImGS+!a`Pj+f`6+ovv3 z-6zfbn+duGFj8=D! zx!$cI(EG`fJ!!@GYE$ByU~j*p9%!_epKYX&Xp4GumhRBW5G}rPv+4oBQLLrKawC~j zquq^77omyel)R`9(+$OOH-!tuR>)ByRUX25r98hBmD`g$JTomt^g44*QPA<-RN@cv zIiAqgcjbI^>$W_-9umLDgqlTm7R@8q=&3=ZU*9s3*En^?R9qq8>|Ab$DwW1n>#ztK!6nb;d zEXEVW!YiJ?LDUhkLOT&)3N(F7?IOGlpCVMRPgzf8f1Wu)v5g5-M@IxkUww^j{B%z6 zmQe_nKp9}2^aTzHJ_=ATa158`BPcsG7&+*DbuMC0so^QR5cz@ucTUxcQl(nB^kMQ1 z5RNwj7&~-Gn#5tX7ZP~qw*7HwTF!#B(r{PTE_lNhwJK?TH*=_m!DjCLVlODr=D$f&VC_`67*&3dFIT&SCs!k{0eiiBv_x1)HI2Tw3#Z0@Y-bqJR}31=tI&Rv~5 z%SH>?J0+OEU=Kt8Pvqg)7N33#pD57_^7m7BpwGdS9?(!QjR$L_$!tVK6gvz(;!YE7 zcA03ht`jQE5KvOJt$HumX{-2s3Cp8=j=IYdupN-TWg?T>rKdcO_D!YLRh>#t;ckdT z2&2uL^nk_}qDdmRrSX{zvvMa2)D!edM%@7|o<45mRXFr6vRL%hES-u-M4k6>bU}|0 z4t28Qz9(6NSN3ZeDkUR#K0>N(aj-q0?y!T1L00*~Z`eiVs))6eWupXUv9?~Z zL%hb$mFb8^h4rNZ-uFJ7&XF|;1r~X%?~X7-#2k`l4H}-!0yFFpdLeGXK7|&eh+~%T zwUz#~I6tGf)7dUQY<)em(0!rl=D7FLSN$Xz2%_$?x>X0Iy|kNQi7@eT@A@tpE7lhE zz&1&3-phA#Fx0@tER^uYqo)i`U+N0N93MXTmfv{!21t%#-2uXB@Zvga517c*=e#qj z;u`JAK-KUS-74?M)`9IfJ2lQw&nvb+O>StloEeTKW7dvpnK~lB!L`0=w4yhYcWOqgVu@ zn$VPTenEbdrRB?4n9EJ5$jEWw7X5eU9a%@e+KZHz`jm3h4Zx|=eH42n^34EIGMZsx%=DPQBcp1>o;`1>IM@6LtwVjJL6pA}<4 z8^F8q7=WTWlY0fT1U?x)`vLl}X6cL2xaEJk2_gE}r9K$Zt%->v_43@qw}Qim5<=`;0vp`lP4^^l02qD*9KnMC9$vO(#m|`_`}1QciOfm2 zgy{#W8~`?M5pOB>`=gx6%zl7|V~-lzJl19k?_|aAAlf+oQ2P8M4gco|0@;txzYunT zZZ;_=M!OJ#kUn}SssVex#ZiO$_ z75wFQSoDvN{wgZ|AAQK$+EJB*&eVGG19W)(2dIcB3UePWfl+y#g95NC)kxG1E_9%o z6@1B?leSt9LBA=A0UrWvgm<*lsIhR%V-Dc)EUtbxiyywzjZxNz9;{w+u?oztu=4+p zF6(c1=RXhjUty4lUFLdryoB`^BE8qevZiNW3i32g8GRh@X9R%uJ5lyLPc+gb$cP_2 zZ>Uw)4Nlo0yc33;+zeDfx$8}CHq^%58nG={vZp&XH(8*qpD#AkjN?d=Y0B2aE_G74 zu-l$60nI?7vw3Qo>Lz1m7P>7-xSYxlPQSJI95HShrw(1DO4u$`&cEDRZp;<y9ho;FGMb0sTpVAMx# zysiK{_*wi5Hn>v%yjbRNWLX(Y-|BT6jhr-QkVF@+wAFF}( z+HW{Oijc$I2o~PiI$4eff%y7K#;5MC;TrdOOH-+?xt12HiP!esFgKH6`|xNSKTfSI zz;n7rV0(EqvUs;S=!2&lrRkE?FqHIp;V_H7Ek%f+?Hf*2nTp$LbE8Dscr#gWp-q*D zCoQlclLd>y$o#6%71I?pe@}itGjDspPfrsD;ywEC6b$pQwQf1FG2_+2!JBd~DtvP8 z-Lg*`$=jW+Ui<;dT~gti8aE;;c1aS=c+ho@KXCgH2lSjb!I_N?62y(x{fyQFTtM5K z+=>?N+PVuvfgs=7QiJwg_r4a*n_G8fVu=d`-{EOY9Nu<$*fjvcw}$!mx68uQUV1JH zF&Hlxo0v!(=7mdIH`cnj@mt*6p8q_S8nymhLDPsQb-)g1@DS||zqPwUJbh|cM}+jS zvowL@$bWw2=H@r9=6G|Ub4&HHX?2wX!}MlE42S@?B@k*9s0p~BLm!@CW;fo=q^fZ{ zIx@>GtprAS*fOytGCTLknUZ|{bib1670#a4Rf|2Tw9r!lEu;9sDItCVo@UKVo>XdI zLzYq1T+)z#2Y8pM*f>Mv7a{%CQ&%=N`ZdywDx(dWYHf|zCe6p*?7`9S5;sOQ_O*9T z`-GdWAb1MgrNDCyO0H+GqkAD>gV0vt>^QeLNzv?e~VOhR6yBWr)cSrZWJTu@8 z5Jj499z|nrM0Bo_iW;Al87K)_hk~m52=LUNSW${z2{xW1P7q1LrQxx0jcPg@tpPY- z)0gi(Vwum3PSu(3ZYmr&I|ovYVjs&J&XopYSMlTymZtKG7%D8X5<2)jEqJ?UXd+kT zC=h!YQ-Ryt`qes>*P6?mnI60J9r;}byk_d7s?gdS6Tk0sD7r4zO4|eQW(Co%g$Qgm zY`tm1v&F9bfJ-Xujm>(xA_uka3&FczP-MrBdvcir0Z2uBG*RQQ6s%SBA}N(-uuVa!B=!T4!l?2x61B7`TB5nP4xEPa1LwaNHT*1x{lbyI zLO2K5JqRGuPELi#Uv_u=3&Q!(AB6LN9_0Mu<^CM(zeV2Jt^RtzS;6)Sv~Nm(1~v%^ zhgzxq0Lk`mLHmNq_SK*}l|Ml3(C??9j=5*hF`XYE0LwW0iX(pB#Tb+?merR>Os6}i zzOyKkh;PTeF!)8;RNB%}_>le%r)>u4Go~jQ<4*?2w^YdEBd&Fv%t2Sdmwq72eM#^R zpp5t1z&Ude;DiyE$G@Kuyi(+#=U0}El=fH3!e zpC4Sg4Ft5^mlN2c{}PD~Q?k9pYz@&hPL-&wK@YMVoLe*%9jN&x=>6i5${hMFXM){%1<=!c14 z-DQ43&Vi2m`3Y;aB@uWnuU!}@+<<{xl>m*kt|8HBLDf7}iz0fNuj3}&b$nB`Dxpe= zvR;db;&C>UShqohUU`;cFQ7>VK7NMCK?oWB0Db+IF^gZ7W&IVB`Mt@xtN? ze6rSRX}DpV^=b0H&2#*7sNHHyh^!;OR!?*{3lWMJC<#|qURKmXuKE<|z=ObH^dM+>LO@HDlT5Hj1%c^Zy~rIXOcx)viJ8v6F2`z@q2p*J)LQz; z{3V_1owfRr%$6OtlZ;ZaeH#;%E}HS*Yicat@-UMfwXESD{$Mg6=mu%c<3juKg0{L^ ziD#VJz4Qw&qe!uXZ{ey`#zrHWb1K309lc|b*@Ty`fZ|4XmmGKdgjm_*)3JIB(+8h5 z+;;3M_>OG8HGQ-`GP~o)JD8=)n2wBI?+;LQMGSzR9xWKIho_WVD3yL)=<6sPEZWmn z{>KLpyEQ11t@G+Jp*6zH?p%4-}ICv8stvFiqFupy2fK$$dxa&cTYat6GZQ0-)?=o z*^DT)j&d}Jilt89w5)-29x((EU$&tcU_1S{IQ?S7Mutlhs(g4t)EO2e-&$ea*qp*9 zxcTuGo4t;ZP0?A&?E-t&CqYxIRTepL>CKLpa(rkNWLkcJ9Bi~ORmV89Ub!)=tn6)+ zS>$#@EXZap!hNZDQ|6R!P@%7G-P3ww74QHgZ%5*+IReJLRPcuug0SA6%3l5u+;CN; zkK7FUNotfvInSF^*{avb)tE&;oY+~LWJge;1Tei8GM5Eq6#?oj1^8iTuA+f)^^zs! zr?%liA?Y{={l>omWVGl5+ok{HZ$Fb-I%UCgu+o04> zoYIUILCV=H8;^;^3AA@(&K?OXTbeqEi*7ep!L+)xLKtU%Rz@Ko+bp(Q#ojNkm>Zj^ ziORW~YS>?kXRp0G$tkK71UoBl+F-4g+|`{z74BfJ#tJekc#ucS+LATh#k6U-Ox>5pAWkbjSS=_S0?bjl6D%U71i0~FUT^?IN+ zv%Rq*8(fIE^o*e;`3)69qrRF&GfhfmoGle?`ZKqgyiNAhZUk>m%CQQkuBdK_ih_Ph zH~~ipfo!iQJ@Mc3ntmmS`g4f$U#HOjUxZ8lJRJP@C87R4sLWslmv_upU^K?oZ7-uT zSTPCR7X0V3j8A#`AXMTJ8>~cgju`ID&LGN;Xl=)31D+^iOZn^KUSsaUQVP}inwxA4 zj9d?nb=LBSWYkd#$l>ds7}?>!>3hq6CH%-KBQDyzA>zKc^3KP1Y@j zIv*Oz-|tbo8O+$uhK$|}l-m2U_?DUOi!M3@wv4*17Q0~!_Me5NN6G8D0 z*~)|lwTb z>YDAaTV-e!_an^o5#zhO2{Y@*ZBY?*?{^MRT5f3@Oi<>kdq7q*5M^nt(P5WMy4cTh z2Q$qK`n7?8geSQqm$rytcz?tWEMu>%h@n-z zm`43xO(H`XX+BACEO#oL=)ubak=GjuaUzU;M3s0RmW%;`o2qGA>IQyjndo9{p!0qOWT!IjyYzrfDx_8}{jtd6!h-KO z`iTD+Pc?ezT|mNvfUaQ1+n5Q9>&Ko=he967%n6OgEJVIcD0ZW|CzHAAn_^S9tC}Jg zo;*!jrdIA3Vqpp98J81A--Ea3Fr(oMbEbFQ)_p>{NqU|Qy1lpLbXWbv^YOVh>k@kL z1&uvnOeOAW*eZPx*Eb!s91K%~&@e&u8r)ja2ud9TJ>O@1T&mZ>EOcb! zluKX`EZXV|SJ@y74^Z651QQnIs}yj5C~jDM+t@^@QeeN}Jha$FY1CukZZ=R5zV^*?b+n^i; z(hzoS?%%nwN~1M ze)tC*n*xsApZ84Oe3uKmcAi?P73fYS+n&jZ@Rp!7HtVHXyw#}oI1cnAiB8}K-j%?Y zYs{@+>T(&Ob!bS&d2E0pZT#c%MY03O%nR!f-Y3oiU+(hP;4bt%B4Fj^iFW|4$=IUq z`9z%-~6;>79 z0nMhdjM91*DM9UUi@C{~63O@LajPcrD2@H}Qle!SJ?7@<7ga8b5X%<2BUQYJPGG+H zX2c-)NWLD!O0!{Tp7Bzn-KVtUff+~9M$zZbp&BuTTn(bB(0D83(?>2M_M7RPcNu%+pb6MFaPUo#c^d=#XOnBI z^vjMWt=7HP`qg(Kw?3~|OIY>U@R5rjUzA+Y>E~m;{ls>`ix$L^|9I1qBH#`jFExlC z8I2<9UPxKV6#zE~?uT~KACv_&9tyG(U3CX%e|}#h-X(FH!y(w;u=`T;7;(}&V@L-H zbT0g++w06%X~mwpLX;YFYp-fh7A$o>*nbzr~v0 z?P$qHyMaL2JAtgEop7(Ad8b>JRd33(QASY)h+iOei%W_g?Up$_DMVxVhXttwh;IJq z?tz%)uQ=0Re+CJ^TgtD(477e)%KrfUt*5-kuY1b>g75-$j6T~dt=x{kW-2=}RxI00 zE`3kK5CVW3kC6Qjkkwf{Ca$Tp(w}igRvmE_#uJVq54aA89OQ2@xa>GnG7UQt@!4l{ zrrwy=`IP5c&0zDG5r62q<*ks;`!o}V#2 zZE+X)q|0FZG)hfNn0)Th&X?=KPL=$Ax2nhcTFIjL+}VB)-)btK?F9jlTBp3^Wwaa- zwBsFgxA6W6Y?WfxKyLTg5={lxoCHdD4sGoI2kp+`S;bmT^tK|ta+WOX%wy~3^o@7Q zRP!HvPe!~#2BIjC4V&Ikbve;s2G1;^Uc4vQFu2#>8A^2^o-I^`UGfReV?g-~=HKa?H>Ss0iX&%qf=gFv3X4^dL(`S{RkI6+c!D^7CvzH=LCq;h{WngW@EA_aWsh~RzC z*U6&J+u0*}y*`SSU8cJ^Ux}_IRDCNT52TUDnKKZ)mU00ti{Q3^Bl5i0R*_tW5!Ycc zg*VQO_%~XUSYPe8w)hHCCytHq94<~#lHtW!_@O&yy5k~x0FRslsM%+zBP;&=E@g9X zslZv;*8L!3XUrh~yIY48o5uLfQHwNJay71+vpzz;(44FVIU@mI)jW~p1h#93#8c1ofd za?$E=o7ER+-uH`(V%uk-8l3Smv%;F=&F}Om%LEmfTMt0leb=_OD-WzcL7%SD1a;=r z2t|7e(fX)t3Ko>qe|R#ZXS!mv?0bblS3jA;`1(o`|2yTA|IBs%#VG$R zAo}3-n2xq~?O&DPpGob6$Z&1=qhz&u7&Y21N1o$d<(BXDYE1Nzxn-#DN>5IYcP-cs zr#zRCmX=luFa?$JxatU@^-^IBQyS!4BgIqW4i*~!*=J;H|2;4+#i`!Jxz%fC&pgzv zSP4&Aum`LEQ%~}t9gcGF?a}B0<|jU32OLrvoe2G=o5UZmoWF=!59rQulD;F}!44Mx zyJV1%d~SZxOw0Ys)oZghCbs%m?{4HhY{KDJ2*#2Prp5~TtwbU>+BK|c7}Z5^kZSxS zeMXFc(fD<1oU7zhE8}=wO%0IUZ~QumYdh4Sy+88r|GdH4uV^E9Gul=Kjb-zV2av#r zKepe7YxK{Z1~M7fG`GCr7~H-~{eBe1L3~h4y#6qGj>`C9>`ZuM_5~^kZHe@S*KDRV z#01ehtS(C3^OG&e*Fg9lz-4qleQFWph((gN9`wtw)Y1ESnWPxx?XyCu*x?`o08d7T2U#LrbHL`agFwLGse%|&D-KfC^j<{|S(aR>4w6Y{P2 zbf_b<;+j_pJV&?fGW)G+05{BZP4Qa7V%@mqDm}+5zEa$&tRbn@~Gv!Mt0(jP9L0 zN8FL@fz{+49QA%NagNa>Y9%7x|BJo1j*6q*@`W2nAOv@JLT~~B5}=_81P>D2o#1Xw za0u=m+=9D11b4UK4uK%uK%f(#-&^O*%$;*)&fJ;zu9Cd>p9+G=eI7BL3U#@WK-3(EnXk)o)4(IlEr(LfehOJ56pxa`YP|P#4pOU-W z`M{Lu@S(iP9g)6UL$QTm8fbBPzP9^rRe`DC(VN$)tGk#q#E&*!55xAf7t1J+=Tf zztA_-uqWiW9~(2J1gp9Yo3!N)p2d zJRljNuPB(a2j9BL*+kX9_9yk>0jh=#0wtMdMgZ=3wptR3^p5)yD5{Lyfn1F#HtWwKj#=NY-*LD6s_}3 zmYt>|s2zP-EPa~wA@03)D}1YkEJW-zbWF}iblV@7!k&v%d((@)=?;9t zoWQmCZIp8^)i|&@h>VlWc}|^Dmx!_?00~Hh3GYeZo;Oi&vREYT31qdMRR-a|d^CZIEM-rnKH27%-#1F?uL2O!47(oo>&QD)cOd zK2=#{G+CU|+%1<+ioL=(9(N`$y-M!tie7`@)F1aApyxk=KO}ND(M8bV`Dm0v*9I>2 zz?v%EKOz#$cM3xQ=jbObFp7g`LHj(aRayBgKczP4@b6h33OEIn*OV0>3dFb!Vz`HX zyl-o3Phd*4XbP!fZV3{QP59y-xut%S~sD|F4jdv`*b+H)Moofd5bF-sPeTf z>ld0ZJ{I95ouS6UTCdy`$_DF;a>MS#7@A;3h8C^6aZIyX>ZB2U%Ory%A&EbSWB*NA z{`-OF{|9Qi|L}kR{gM3FKK;*#akFxVddL(2=&JWO$yV&vS7D_Rvnpk-Re{KKZoA3P zftcN)=60CoV!8o(uu|5`4x@-3V)rxuJ`V-2hjeF8XGfNN;?nPlV_?x|zlRv;!Mqe{ zZVBg{vLJw96kr0iyvcxXgWmA%S@)O!D@O-W^4dsx-V~e)WB;Pb-9Ld$@oMmzTD!RmEkP#3=rn( zAP(uaKWpK)KlIGg-pgw<4oUFYF@b9B*Gc+8>cCLU zp9o>Qo74Qm#NBfTM{M;-zVU4fDpr-t(qc_4cK|2WnXObb8?8;2ML01^HNbqmn7#IP zU%cl5>joRVx=GxU=l_+lz8caHDPHNf09eA95>vd6W02#l3vdy3JX74IQSy~@Xtc#4 z++0FZF^N9x+cZntj#kNUGP{6FcT5RmjtO(qaY2OmSZsIF(4f_&y8+?K4Bw(GfZ^qA zVJFF(=$$RSJEZV=-!fdZGU)XN#R`e0Y>V*uDCk4(of4w?N;zx*bLTU+-6IdVXN`m- zw~6bU*7Jtt{UPS`V8$0>roETA>KLF*{fA=rE;^aHnp4JEu=Hwl3%&kv%L!*oFHU2@ z%(y!Cy5WoExSp(-SzvANau8`s>? zdoo_RmpTK~>B#A;N|SG9D9LCX>JKG9t7Hap=wVx7xyp6HlHCn>rR%}_!*&@Hy7s&4 zOd~Yt%Up-T1E>c{AMKL^Z17fH2j;Dj96gHYb1QC`d*QwXzvl!$30$r6O;T+zT!9;} z-kZO06p|WU)kd510pij$7r`R1HSHO0zfp{+lB>RD4|iA3UG zrBXOyj(~n$_4iP9s#$Lvh+Rm+vyk8gADNvsmWOpx&zIKS4Bb|Yp{%QOtc6Z})Zan z|87(8zd5Tw-%NcGAy9FK@lH4-G|Ic?9gWs$Gt0V?q`S#YdR`pX*3onxKgv~VHk=PR zzgxAgyA?4Y2sgCBH?q1#UtyeY{Gn%_y7@EwJ^Mv`DIYjg@TxhkwH36@uN>}A2$po+ zrQ(7N@sO6Wq}OcNkOG?Y=FbS1J;fevyPb%qs5PQ>@pz5Dx=rGyrP$iE(boKE5Wz#b zVX>(=o;r69nWa!mg$3hAQusjgm8=enE91ew7dfGeL|`L3D#d5C@05RO_W#>G(Ef~x z35dNQfb|=fQyG@F{%^HNDOYq?#Zdw_Ox1tVdaLp()=eu)zRv&tjs>Gi;7K zk5We*PJz4dFcG@pwD;WR)%g7L$fFwRGaCNJh+h{5yrE${g87mrBqq)ooML(rS{9=d zC@RZs6J*3!lDf(J&(za#B0nyivPY>f5tE7HCu>s@Q){?NIVhBwu%rL&4e=imod0tX z6UyE29fkjB6BL5nh5UAEt=X?3^56FYAo&)^b$D(UO!+>_1Yjf0rT_B3``|x14jo4B zZ2f*?4`jhw0KObx$O8b*7LDAuL__v1w2&LXufD%L@ZGuW{qMF3`Rf_~PbsKxI?=3EOk!FQUFb$I0g+XN+!Osu`zY5 z$PBti{uk@^{FYZR&Y?NC)+nK0AENQAdDl^;Kvu~TFUFo6&jrv8f?k?#TgYIDiu|5I zgW-T)+FX4-s-f{#0hvjVlRSE5DE#1Sg(mWT&TUd#ue!vZW_rakc9)L#4euo8m~2?7 z$%zP|Fp)T=G3$3$6epp*Dv-r-hEjULnm|s9U21&iywW)NSLmt{aX{Lrca3WwC zQt^LSf=7Bx*hW_CUs0V$(efUwP$Wv9C4=J?#9zBaygWY~zX=EhQp|cawgT4iHcq2? z&O(-3=ltxfS&lJP<JgUlN2 zxJP3~gx!>g@g2J8nog9x9|R?~8CKzwPf~?~A_{d>!Xnaf-!H(RQ+QxaScW$R|I!hr z=HiGuC!0`_s|-hkY=UcsCzYuxqwF*8RbfOS=e zX6;dky0lq_28cnbC@$9P zMJ&(A7&;zfej{q_vX=Ld@NBz*oXOoWoX|C}MD5UgxE+|a-5WIBE|;-c8p3P%qCCnc zcKWOJY<{yg-=NuTDK=~vE%JNYBsxY0H<77If>y2C0oJ;H1|_kLzI?*JRgV2v->3h- z#^odb#B^jg$0C0&4OFW?9#IBnDz*{!X!3IP_+g_pQ7dSQKj~H(2+CdwSe2!NngWIs zoXD3x8gTTg9S(ceH9fh~amQzuO7EOU^u&GNN)eLN%I14%xrTm73Lr@)3c%jNLN3q> z&o|&|ja(Mr^Tk48jlB+&A3P>LWB(qL6)TimqJCg7Kom{mA^+Yo z50Rt>yD8fdk+CP8v*ymBQARt%Dj6*uV$?B-*$=bfeAai)Z4hJ^Q;*^S2v)bE_&a9v zPCkl7m7F*!KyL{*fM|r`C|d<@j)F4RXQg7^MJEB3f&T7H=c~NpG%|hDF_b+6{$#eg zG{a%b@8&Bfk5;P1mZ=+FeXF4zUGnzf7@8XG@;F!FtLzO}M;S)Y?M+8CWm~?PJHOWc zG6!%DYBPRbxI(!dua_1G?vtBk)5$DT2l$9uUl=~2r&POtyI2U9?(+5DMext(+nOmw z^$%@QFn2bSj0xpz+s^#2tiy$iHzkfsCz<8jYfxen8Lo9r3JR31`9AHl*Pv z^$MoV%bKsqzQ+jbroMX8e8(*Q8C7;4Cv;7m`Zl)53K+CJ%U;Sacw=AuZKdCrA;wYV zBr($;Z?YV1U(S(HhV&-NuFX%KFvNTn#6Q1x6zw)?h}_a`sc%i(yc-}*g%7*$>oKm_ zd~{E#Fl_jGK|9!WMf>(OLC_$1{Tb+(6DbBQKG|Ki3_GP=n$tE}D2_!+({(Nu&3OWN zUE!|!7F`Bb@-LTcKO4|dH!X6ueQRKg%1T(ODvQ!S`u8V0!%fXrg-PMtcMIHA5m))4 zvRR_#ZB%dQYfOQ93YZ&iw(TfK7&2RPJ@1C)#FT96^%HwkmkCywSU(ip@pyb5O=MtZ z;g;u@sv9LnsrUng^}`@cXZ~K)9V0a3h)~(fowf`4$ylyxhd^&^>1)^WZ;6JtJD`Ve z>plnUC?OVi@`zlOMy~?cVoX5CLglGl&aE1OblJyS-e4C}mP8@^wIFpi>?t#xHcWbA zvYQ0Bshq#>v(V&PeQhhnqSegwZ{uEN1^}gW)5qxr6f&!`>l;}ah{*;(Gz|rQ3m=#2 z3cn#*p{mbj9P;9v6mAk>`r~=ctprS@JCrX7^0zukpXsxL%0RgTMvZZiVBvO+jPI1v zExsN=HX=^R5B8-9M;k882+Iueuk9utUu0MoSM#GD$J>LB#f0yr;YPvd=Vv}5KJ9iM zezctnQH{=RUdUx@yO_H{V^ZQ&X_IJD^XCC?KnL7@&!PEXGqV04j%35!5!_8ANr(iK z<|}%hl4%b+iW}ef^t z`g1uPY-wMxvaa((t3C9GmBGCjf3_hN>yFgd52?Eti2_8JSo$o8*)(2!9KD|KP4FB) z59UdGZiLyZxecAD4q^o+o^Or^{tf-U#_BXe<(1PHV~z<{}v&Am)pTVIMYDq@o?K~*X`B$73yZO4@J zW&dHT%}&md`3GppJ&6LK;J@+z7y9=+M!|D}{OhArJ&&!Y5aX?Ie=;8ud+JTLjk5K| zBD8veWcGLr@?VMgx&|e2>0P#*()G0_r_*r|3!c@xy$?}$;!qnNGDN=`95-e+Mjl5P zIfpz^_$=NX|Mpo7vuPc_(pdjE)@Ai{yR+`D)6!FSZa_>Ml<6ZjcTaLBFIQm&`^Ags zP;6PWRC$qW!>8cLhPK$5lF+3SaUo5rOQb`WqcLav*V;|jLI+dGj5tL;z1MAT_K39l zAS0s|s;MXUg#L#9k|T@)uKgqL8p7AJQwgyKQUj2HLbVsjLAuv)_tkOP93mXxANR-h zqqsMFs6}#&7O$NU{t#XqP!P*6w^0+RB(44QNe*!0Y@Tf*5a)z~j0vB{yusl%yD&m{ zkoB(!pu^PZs2gwL8K}d`cg(aNsOP=SWTDQ(B6aiGO(Q@o#cS7X2$kPtjtIgUJ}ir% z*(;=pxoPsUuy^#v{m_!SdE<<#KbReoOnsoV^jJQN@)R0kkFD|Y9H89?DM3$oNc43K zp_hHjeK$+9^6olZvMGli#&E8d?61+RoEPlDt&cHqVm)JI-dbDvloTO{bNJw%XJpmL z=|4cYKNWoKpkBT0O9nns+GjySx>_36;S67%5a@hv$$J!IVerhA|BeCYRSTTjT>MlQ;U=i=CMJe(g^BFO1^3v} z&~2A3<@V;hXza0KSma76#?NIalG~+-9;L3k9@Vcf3Dc-L(a_|JR#aZK+#wruy;FJB zmu)$aMn~XdR_+@_?#LW>diGL(sQC5G%l4s!;2_V(AkxhtahN}x`NQrB#d8q6?LB0pl9r27K7BWruE&^;z;C(-;{Z{# zi$|_&lO*Lu)AH@i-e{Z+Tv;c}P17qRUO9dMlT(qUime@Fkt{OVLigX!72`u3!4%#h znzk>9S0%m5^+!>Umz}`Q1(GiI`w7(=TOk^J_5|h+vr}y2gw4d(>$l1{{=K|NI%t8& zB;FguQSk|qr9N&VV|8d1bAYCf(;7M#vJu!B@(0KhtjRZcBV8UFb}&4U3;F?6C$Lww z4;U_7aPsl-LTUr~)c5t04L4@g_Y0x=0Z!85U@i0KzDl~K*IO%T+x9hQ1aM(Us0$(n zEa2>EDLUAAVdwB^ZY|&tKS;Lro%fc9^7@d_NMw_c#@Lr?3m+8(%`PM~m)a4D&R?jy zX#W$-o61`AC4SqTc1)gAx@ouRND0O3DL$LhDR`THShwFIAR@qRy5ol0O2E}OS(FJ^ zY;NN$n4V?odJ%@-f9sv7Ki@1zeqP%Gn@Ln8hn>#x0`bqZ28fOub2!EsPZhMB3rl(K z@t&T}sMTC%uWd8`K%e>(i>%LD`*s952og^DuHcoN7MM2@bG8CevU5-~XcXNo*nn`( z+ma!fY+sj-V{875Mx7+bIWve3d!wQth&MqD*BK{{QjavEhHU3hUIh5j>ig&*l=rZd z!*eJbA{8=ITVl*oMXZqbv-~cT)W@`#@fB<;e8k(krMpRtRZPPWbAY}0O68%<60X>s zz5Dtavs2)4W1gIigH*qMxJvBNq{)U+r!MpMpb=|ViM#EO`d!vKk*w6`LyEEtsx#lz}}Hc zk-zwX0H5^3hsX&KXg~2I%KMOyby^-Watkl04cyYm>(U7#$8zg6OYT$*p!GxZ18h5MaoCcM zETi@~!#TI;8c+Pa=+c5oF@=82N47Ur5|^#t#8LS7zV?xWEpJcN0ZE=@v3C5EW^(g@ zxy&6UIr#Db{Vl}Wx{&HpA~B);e4CV<#VovoUER*lc3D+Mf(|=Z055qaK*#7T?LJ*9V<`^^`e!TW@E!P`&L0Jz;

@BYM!sryw8751Ecn_10GViQlsqFbD$DX>r;GrlfMx=rnx+>sP{AnGuSYZn>0Ccss76~`<^ zI7%-5#IjdVtBX82oMYRG*w;@9J#x&ZprN2MCDj~xroPAi1eD&0gLBn>b1T0 zS#1P-^k69X^Qc4@R7aX?LTvv?bCy|&n6I2w75}k{IJt;8=p*PcNNbkgfTzFRoKh^p zt~oXJu35Sb+(G8SoT!ujxq+9tfl!V)Nt}xR@1Nd({)CeFTQG@h;x_Ty*IP2)@S^yE zko{;k8B@M75wt-NpCX!M=9!;EwgX^d#=b0)FL^|KSNtw6tHyq1*aj2{!9jfFsrM2# zD9;8r=$Sqlj@LhkhSD)SPimpa!#VjM!5aRIQ;XfZ-*`8QfQ~vH0qADUaC3njaB3j| ztU=d1R~2YK|K1c`AQqE@QZwoG*0-&jImeamWlb0)y3q?Pvz_fB32ufZzg&AadN4Bk zr8QP6g+ycT!~4siC;Plc*qJYjbaD;uxe$wYPi=e1z&u~>X%HOl&bwWnsx6Te4rexHWLv9g@AAL4vUH1v6oHVs~Nd9KZ+RvB9#*g1;3GmQ*0n1JrklIxvHx zD;w6=h18BO?I1CR=r5z%Qp_%Yw@*3!l?3sjw~w9t60e?`b$UGaR=$!itZMf zH;eu;r^NiE;?^hAt2jj3^)j6X2<%7|WE*|)ut^o$Mc%thQA&9hnzrD z9Coyai6rmPXXe&zu=Ct>EREWQ)nGA6HN;g zDO>H?l2PbnW~2>5!u-kow~LH$@6BMt?+x_itnymCQzEtBCJj2eb{wP=AT`+A)?#0m z*(~%_??zv!+9vnNDW?wVXdD_p^z(yat9S<#D zzUZkQEdB1|2`u$iTWiZhwa;^EK4OJTUnL>XYuunQOVIC_v67R=Zl;Mh%D+!6rG>M$ z&VGX)s=FD?;mCubvxH1t((T)3A1Q!x&x)~-Oh-FM+nWQ6QL6G7i{Aa~XT z=J&Qb(!VJrU2mgy)4qBeQTuJsJwb9?J990CxfV^9>5r4I$8g7mH7DoZWE_6uDOD2I z%2e|EA!8uh!aT*ZXB1=KW2?O4y60P*6D4}lABVpo8W4@DJO9qzEemDzit8RG0+-L? zdgdx$elkpO2RH&)-qSwhiaquln;&VusNS?L(RmO2lqke~%kw48)sX_ZQ&B{<9vL~Y z2idL`K5wFJf?f4FkIY()+j~J74VkW=M5RpECA;vd^v(Mixv>M)kOUyq%VTqCe8`{l^wj*S zDv#2~dGz60r#h%*SEzhw2rfI9?yeRq)Gl7duRqsY;EBsLuY!*h-s_eqC-(k{U$|)X^qW|X30=0kiuaAMe&gS zjY>Y*V&97R?tsDA(aDFvynAMVh3)_NJ00P@j{Ein=1J@xPz@XGiLgHLSF115jy zs)tDbd^@BIVA$K~y2WW#fbq&%<##A@qPwG|wdpIp7vY8>82SiRO!YNAWtNd>6MN{< z9$t)lm)U?J$6`}1zL9d7(fWq`+`9hQyaL0zw9a}e*m<<(?P22ASlale)-m`iqTbIUJb4bd_L`n7+*C;R|bqL;w)q`hUYb!YP+dELKW?#E1JEkdn zKDj-0#r5U0Yh$JYdNwBhKw?6aIiDAZ<>v!&Kzs+|_c$|42Oiy}{gKltPDjHrjdWVp zMe6qR_e2vNE;K32)}Vbb4*WuY$z2gcwsSVoUhKCm7G@KA$9vbCjt8NiPu5OHQHRV> z1bGSB#!-m@Qn;paIFeDB;K%CVR`~VgOF7t0!$aaKfAigWb-dn}e)Dddp4DQU?nmmZ zW*`#gG!<+b5rA?jRzs|*>lkusxmeB6)D@$p$@75|m@M!VY`COO_`sSc;wXpI9b@{F z?E-LJhjSY}!_DR$+?8=x`-_iL>rN<=H>7`mN?b+w8K^&QN+f+NK1sUrN=*KKwEj&z zjuhf%rQ{l5lZ$iEh_^y@Vkl&fzfyUq0U&`I!pJ+}geG zvSmjo4?>3P9S||)ST3It{30S(GfkGuMr`WQ33J@U_~&l@nl17?Y`RCtSz$oY0RRZ- znf8y1iUzNxb?6fn!mBGC-Nx@aG_`WDJT$kg$dfgtRg0J{o`WbeZU=eDk2mSN7L6Aw zk%J|Ooc{jYZ_*%#l1TWrbe7_wBVqZwWp-4%OZ_>eyiX`E7J4n+d z=%=aBSvO4be!eoUH(9@tOfN?eVamKl{Rw0&bEj(iyEs>{Cl4XW=9bdf+9ln-px8AU zIj`Kb@B#1Xnk-4QrvyLBl(|}KIsO95oRQzGZk863p=sWS+mUImxUIR_%$Zr4|0Zol zTj7vnZO_{Jet`50939nS`59ga@;HXmsle%i?@6kyRM*xNcC+P|Hgy=yT(RGmq;ri) z&&d!G{y^(1+SAmuOTp$9rzLqcoEuI{1G|YUH$2HOtb>F%VhVVof9vB{WoZi6H}G<$ zxv}EbZuV(;nC*|(&O=Wd@Q>UCBRp;>W#Jah-J`A_mm7{VR1LOzA2(+#S5PmNIT1NC zLD^M4M@Cy78RMBE6!-i|p&7rg6yc65y5FsSlU9rMjX&$;DeGmQbfhlVv3Q%YvM;ml zlE^v=B1Ab?|Htpr{VmeY_kd1GZno+gbFaQ_xyhT0b#sy~lP1HU4&C5Wh^6VH_n{&_ zqeKj0W8&a)px0xCV+8wfrs^JM7TaVrZ5G+PmxjM>KBLWO`5;sfvfo!V(|o1n`hvi5 zRS7KsTNJWqIe?=n0>STn7SglI)Yw7^K0Y|lxp;$Iy2{we;$wg3(~!_89jiP!7T{vG z*E8@Vo6Aj+?O?&(JL*iB)grcU6{{`vLbw*XxUot zXcG!;1wCK6e)0mBGN$NknVV!c$2yhEonn^Oz%u67Z>QI;b^*phPmDjceJ9Y$Y9d$W zm}bwobR8R}9V2#AKUl0dQ#*cjKXMS-{#glY%#cp8W$ZcaDMAh*SzuEwJ2k7)$XoH{ zq7EJY2i27lbv;K;^r(HE0-T=be3J9z4h!W|a^Dr%n9k`?5L-yhgFA*{uf3iy-Ls?E zd%gWplIn+LGD#=)ajI~xvpl@4mkB)%66cS~`o7q7(S5hNUO-@dr6UoeyH|OrWJFZl zDM{BO9Q8U|Tf4(6>(>UbaZ?lOrLkkMIT_!9loqM#U!l#j3oy|<>2Xbes1(2pY|kC? zmA|<87{Lh3>_vaXJBrg`@c029BqY&3oP}+S(;IpJ<-JsM6OopfZPmW{jCwc_%S?7d z@KDf=b599G{L=ON6Z%L##FhRy#Yr|YZ*RQ{TgicRIbuilyhOPo_@%|o7UZ#kXZ^Oc4W>rHy@@DL6YYmGagDLV3V`ec4mi|LhYZ%4(% zNl472{g^D&B$#(C*4qeMz9(FJ2Osk>4jx*@q4t!x5hb&qtnS=v8`JTCMVZXT?RCvL#VA{4L+KHyJ-E+lxF9lEHWi6$I3x;en zea2LV_x|A--wP#XSu_OL|AIgH3HtCN4&ZA2o6HEEN+4wZcuAODSCMC>nyYz=+cLg* z?enhLWqVeDjHqjdwk!}6c{wxq5aw^w1-Y?>r&d_*-s#kU8Fs@9Vt*QIc-bF*%4K(# zX8IW7sU`06=8<`+n#T9ZiV)22z5+Eq%)oZk09vBj2KNmcc#xE6Y)hLI_ATsmmdTNq z!5NHBd-~;O-Fe0=+I2_+>wSlqJuEKPAD9Y;_B1<&+*`s{FOQTFw)qMa-s7d`AL479 z-BOKsY$qf~)lMW9ovPJMZgVt{1=4H(#=U|@fb)|h^Gm&9mk1mB zwva?~IT8b%`Df6(@hmhA`IuuHqU`eA_dahPiXhwBxwN$NyJUksm?vR__~HrU4hhr5 zmyeFA6l}px6BV<%(l{+>2j5?W2r=tr>51aqOu^|wemWwa1BcmUgl#3+w<_4=TGX6b ze5P?}?9XSF{HgDtz~G2tKSx6VuhH?C52=i4&z2P-mTB^0AyN2}ocdSCtkRTrz5lqK95-iyO>2YFU`h73hv zT(>u|A?1@cOD*VZ3|9bI%hc>(qKxtWd;j74A9LAHbRMl-Sy)9UwcVw_)NURSYCDh> z>ESnUv33(g+)fwi59Rts!8FzMFD;r1bl0Ck@>Ndi(7EV)Rh4b7awy7lXp&2y8@Yek znTkTJ@lbuR;ki+jVw^T%im>H~N+zC{YttT8UiK_Znz2s~e88>>NiEc%k4uPXk!S}? z`KpaL?uTYSuyrntpV%g%qxbg0b7zBnb9Gog*E~KolHd>=$gJ+pB{Cv?fI;P|Yf?L% zoUtgncOLps*keAuhOuK9yaQPcQ*DE#MP1|P8TM6&9I{sMFI_Re94Hf zt(L*Sw6Z&J(*zm@YyTD38zqE5m5=a4@=vNpwI8Q#&o^gV73*WGEsOT{D@u&45ng-Z zA}1O@80eYuL-Nt>GDqH1XpRsWexuQ{Z(P&|5t@cFJF|%L8OkUta;M3_FohxbAO{SNz=n!?u_VPQqmM) zK}Z6lgHBkIzoXH;;*!rBRPLYib80*payyXO%7SXFaqzGMQLlf-thdPvNlcM|u6 z2$J3D@LPX;_hJ|_y(&sz-g9-s;HAu?77Sb8457#r8KbV{g{9V2wFAEV_a$Y&3d<)+ zrb@iPT?1-c$z*C9~51JMH6tQU3a{_YmE)zuE~5)|}}cUh8XJYDM&1 zf`O6QTJG<+%A1JiNU7Riz<^IB#RGkF&880@koiPQ_m{NzxqUyq zA-YRGfW-m~K#y5}xpc#R8UMFvaR054<*}%BzB;6oVXi0mE_dN-9cjdI*NN2mF9})L z@(X|ec*ytzw7-rd_5W4|=cH?^ zec9vo3hJ+%c(OF}O_D=b!aQ~|P|YD)iv#mfF!?Vh=SWbU_YPoJD%^5&lV7l+eXyWylv9w#Gp4j zJ-DmnlhtXqm?3j-*-*Jx7$ph$ww=Z)SW8OP0*8rFu)7Iim77daLqt~1$~Afe#&IgP zR+Fo5U9fG1j9##<`>A}}2bjV9(-=@0sgSB`d)#5=ki*oS#LXqv152{o1%(IfcT9dhKo{3xbI7*Oe5 z+aFOexI;SbZxgsTs!X|@lGvG}*f`Q~>!d5Ggr4N>vwnTl>_-X%8c*EZlJ7SjOU>{> z?Dtaklrq##kaR-!@&FRLLltzAHgbLxJvo?6Fh6GWZ_?nB`jAJ(r4{BGzgPmE?4Np$-~JBs@7f#P&qR0r44y0s)rXoHhI__gqDz zmZj?t^(W}{0fV9=LRSY8nTGmTU4f1tK`Tl9IW(Uq=B+iW9elR<8wqk>PD#Zot{7#0 zWUR2fU=MHsOhv|fP@t5*_te_EVTakSf-RK&ewVruXI_M6HcIkD?A7RK``FInWZaz` zJ3l7bhozE~BSmQV^sK8)!oB1iZX9Ybl9|?O8B{>zRDP<0iL9tNWWBW5uvH_;oijA$ zxx$4}+oq;IZ8)fEN8Eb1|OyVS* zdOl8@e4SxzX-sNLP^JVdEe!nf*?KqKeE$68Map5gmg!kbgh>Q}%#-j))PjJ*M07c3 zwBmpK8o^F&?p9ce$Ie=?nh&62AiV&)XBrxE(Bh-oM|Mn2Nby~%{KVq^{+jIBUax*}L z${WgM61%!85Xzd&$jGW8^**2+1B5d36x0MjzYHg=L=YbT?aH1@ha75vflxmG7fF8bnA~ASRc95R79#D-ik1({2IRLf2iXI zng)?$$r5~_Yi->POz%&bsm{6*#ea$@;+TW`NhPxw1)lr ztkx_NKoj!a=by4#|BuNwoPV3u`uE8;|5t2)zdOo*C3B zqGNHUTBuhcnzF5i_VP$7W9H=Oc=nxhUq(=zaP31em+I1%<|2PvOmpE4VYg8VPE*`! zWnqVj==BvdCwVucrM4tpS`9N=Z5!h5%ZhK)MWbz|EaR(jTY<^JF9ZgHxur5CN+dZZ z4Yzao;s{H%5LJW(O57LZTsPe^e?`}aewnt|xv{yiT{#B_F0R6>nsf8!$PHbc`PT9civRrxi| z#e2n)uB=yQwq<&&Rx{dDRiXo0WQ5vrjT98B&#%t*(@JS22fSR~fN~Wdiul)XUIXxE zW`)Qv^LDpLl9<5e=GGpa&!$?BtBmU{TN%QiC4KNL&BLi8y9use?w+L0-pQ7?F0yT4 ze4e<**bub2vw`~uXp69gHL~uUMSOgXA0>q6Ol{{0(|n7yR+9eam-+F>9lg$+_-{A~ zMEGPF{P_j?4p9qKNa_psH&MRv4B}Xe(b{xBOI$)LxB9)_4lYFtHyT?Qj8Bl>?f2oV zH+ybN*tr|Ps^{a|lB=me2J0>)DO9wjTU}L94dNI-n$J%&{yZA&lvTaa`^3&2gq9O_ zQwY0)daN0C&eU*H{sB_1U98M&Z>x_uw`&4iOWnl0(8cL}XR${|7(6amQCiCGKPD<; z{6O--azh<{ir_H4OS}<@_z?6Y$Has-FTTAoR0EwtixdC;YqT3PS_?cZR=@ytt>1KY zPM~9H(~RFGahLq;)Uv}J`xENgu6FO#i@~-*ke6~;_X{8KP*KY1!CGrit&cyO!%E)> zM7#D=tJtJD>rN8aj&pvI19ZI(bc81LQMLPM>quHem$CL_89Es0_quSI2;jNE(Hj&aZfxr8oM-S3)f=UK zol2hE(afZ2X@|{z@aFk5z$@gK-6ijLB*^z)QhffY67+0W<^q*~=HFL>j6Yuq{)}lB z>HvFm(pS__f`vQC&ekc)owAS29M{h~9_->66OWF9B#mq?n&k#B47abegN2}28R{j% z>ZH2zJTJ%);EuURcKYCIPd6}$Sy|;6p=bNeTrWx|3p<%`NER?4e2u8t&2)TxFFMDv^fPKAIf$n4X^+>&dbxCPM+bW>pBIT*hWsf5+7Dj< z8SJ{#v|4?BGlprYr6ndGX_|J7q-4FYi{ zoUI+)9SOwPbXKmdtX~-g~*8pqgA%@v#s7Q0}*jRu^;e%+UZ*9BMNtu!>!4mGHxXhLyUg4Ft@|5V8g~m>D|Xo zo^Oj7n8A3z9f#c$1GdbAig5&5{XTmrik#4bhHt#9!(e|hVz4qK?Q5-Mp;qF$0ob$D ztQ6ng7{RMkw%5-5Ao$H?B~^$F5m!5W{yC}I3UE54W6E`_NQymc>@WEMpJfE{In+)a z1Gnl~^5HexJu%(9YtS4n7CLmSz8goId4b^-E~(jpASujNnjW{k8c`0)ls1Ey6tum_ zZv+3gTiU<<9t3b6G2{6qSc3uN7R&sD+~RIbU=M5e*WBV4kpE+DG5kNuE&jI~)c@kn z`)?2PUmLdn8K;Hp+^BA9DB1Abx5+(G++}ThkxA0SgIB*y?F%$0PHO5r*+%TJW7(gw z+0tPmDWL%+H`Ae<+|6>t0bs1?e#*XpfEOy#Yz6u6?B1;uhSvTaGNqn*x7~o z(oyQ}rS%NB9^4{*dx34g#*16zzaI+?hS|umQs|fWnODF3Pto z)eU>dS`ySO7}{jQN2PLt%QL+*F2%!kc;P}p98Hh`YBGaeeEn$iZO~-r2bSABeS1rj zMvHjun~%NcW^ba|-;H6F?$k{J%&~6rdkE~T{M+}{$Jv$aEl&tcAKA65%O#&rX)N)p z;!$a6kpq{;+~_fq7_etttqG}o_tE^!)v=v^BC$lwDyFEL~AZQPyfw8Hsr9$=R#dR%sYtjmsy{kjMIxko*)U?_x2OSYNrM1~+%Y}(18 z0ElIH&Z2Sc_i+Xz=Q~|PNpBAxLU+3F1=MuvWNwyAQVuLXKXK#KNHEGAfU0LU@`PON zP?k5$SX?+9N$B%3^6bJ4HW`qiz;n99@|b?rixH2tj7t6&J0sY92$iVOG(hmehivD^ zog!(Uf_>_5?8uvh{JuQWOWkDpBUY1?ncxLFUCz~pkaqr_EpG+tsjz8Z8PC`l(=8)3E>d?lb*jL7F87}Y z{Y)-gcZulESG&dNu5h2$Fj*BxYG5Zy?_pQssmSPpX3?l|lR=ID(o_Gp3tIk!FBd<5 zwuCQ}dc)#bimok1VK&-+nbqeP7>}sUT_;J~-g}5uB7k%;!9@aFr?)ikE zF7=$YBw=v;tGAnWVGARte!(EqQf8q=U%Yv|7~$J+9|K^n*xLjchLl|SsQKEP@Domy zHz=?zsOyfQV_Yyd_6wms)0uYFZ|sT4U(_jf&aJb&@%)PSEq8dU(Y~o&xyFXh#)?vE zYw2}RY{WYWb5qiq7)P zp zC^UyW1O^8OSm#(F!qU|kw-q|34%ZSXqIeh&Wj$ti#D0^%{Ze-CxLokapdz~NkvQ_3 zOqg;8*x~ikv>I!SsAld7!Ny09pyRNC@0PkrZ9gDDMcU4$Y>D)v)%DRpjPL0|!YChK zJL`XKc@oFg^6!-e+MP=6l&ve;CGdVE=1w&NV`pP{F!vLZw-FJxlgav}t<4s?BxKec zcQHvM!#O*Zu$}(2J_U_I374I`IGwK~e{ZYa@ifi9=LQve!MZ zd?l?y#=%Go8XoO;KOPp)Bb;Ll5p@@ zL?lLCiRWP6Z*ybJz~*1h^~*SNv5|9h4QYVa$cGwgo?xKAHqIwxH*Rn`um}ItkJ&0ic$911qk_Uc6eV4kt?DpGNS8O&P2`D+?79;hr_@FUb!l!! z)7%7Y*lEo@As$jPm#F8*vfLk_nRDAHvK3>GQ(3+c z$jlUpakv*|o_kBNX{q0V+Kaom?)7zqIxK(Z9E06~dGE(D6%_UWGK+jq|G zIdl7d-^{GD7HjbbRr~$1_q*TxywCR{bE}7Wxkt9!41L=Q``y_;frWoRa&Nn)&pi6T z=QKKy9lS(*@oYb`Ps+Bd9os0f)%=MkMJP1BH>_YSK}ix3mXqLfF900ya&xc`Qr-B| zn&#q$8nQ04#2C%eW6mu4o`qrY+C?k>)B3~ueqk!sgnh0zEJ(KN@gs;&D=hMk+aLV> z{lBna0n4+cVE3~-WQB!HB*UGd0z0QZG@j#>)bjIKxKy_X{kO1%6$uxk&8#e?sFlLV zZjbTa=lPq5`QIx|{aK9qRg4nwKJCE>Psms!m+;U62w?A!^Qca%y%>I)C61P258wyqsCYK5Rf=`1-r|Q+jI-$2>FGCyTgMOX7>bwP z4&gA^A;B{5g4DJLn=4PS@B1Z9O3fo486_Qg#`U7+WTr_=_^|xH98f|#csXTSs(72E zoj^>%OFJUVnG$B%T}E{oC9@9HdcgSPgZ;VY&M~8VrwLm(cjpib68NBQ;@hHu4{Jb9 zJ^M3iS?l+1lap+{*y88t@DpRJb1crOjX@YXGte+=MRCm2K8ergI0+lV2jM7nKp0_E z`z$^5Kw(O%9%47%a$u8mV<6Sogu!0*rkB+mcZXrJ_|u2Cs@4KXScqW$UygTll)qR_ z>>*4Q%2*wb>mztMnp&zHzrVZf3{F$)jvh1A{rF*(HIB??>m;asyv47~uKwiCf;~OQ z!nfAtni%9BKWj}TP2jFhO{ca}H&I4Xebdu=R**-Ec@24p=v=Fa=G0NNrbg?e80UBv z!z)MH+9qP$i0VhqGJ#fVVT+;>D&RQhudnk0u!4cgd#snyWH|ZBlNAzsr<6z%UxB&D z3GN4$0rPv|eTe}hpBo2co?gdygxA75cL<@2c6+%gz*$&R953TRQc%(biYoH-b^nhAH3&S}s#3SE1DyOA_*glL1V zV*o@`;V2b<04vA#n&eD-WCf)o zGYhJ%q<9f+uF=@mR-d^2h5tj{gvnfO%K=^g(mG<`^DW)mI6O}k}71fxd6q3@R*=s7E> z+TPd@vqdaf56+oI60SwJjfJg-*x;*h9mHEoAJ$NUBw$MWZi-)EBJa>+$$I0*(hQmM zJvUwFAEAtA?;)SKXACaYdb4F3pvcHJLB0E4y>10Ck?9NQvqF`^#qa6C0d|~_eh_0}(z%+!*B>-9i=t!YtER%dLydw??{1Aa65GR4 z%PoxyL!30(DBj`1v%x}z7jnK^(`^`p6(xAyrpmCI3L+q#u_2*Yg$k9xFg}Lp5c&dHq}{f zP`Dgp^bv&ft2VKtvz#gK?b&Dkv1PoL-%-7KQsBn*VXEvo{>61s&zOho`0{*A?6-3h zKMPeuK}=LBz0il+V=%Y!Sn_%Ma3u6Lzv?3K6^Nhntr}Ex6`lz0r+V#xPlimO#TJsI z&k{p_Lz;(rGSfHj8!3l&2MR~xd`b;UO?sPOtptuJ6W$n5p(RuOLcj~~#k1wwHL33a zyo&D^#CE#qS~Cj4)%B znMwjzdmv~7=?qv}ab>Bg?!g$5m7h3@9`vSqTmh6>m+vV_GvMRNN=m^8Vq7e%+j_5TrHOG=_#~n zt1iLM_%&U!0Qw<$9Q5OSc!NTSmBsYSuiD^$K{57^>}j)4$oG%-?^>!nfElzyXxn&u zo8Vn8NR&9vTMjA$}X6e zJ?&sP$TWuS0G`;L8CEBWM{l7DCLeAqK1k@p8!S&Xk!?!UR+=#bsk9gZ(P7$*d$fS? z;SVA6Gum=+KgQksje2>wv%ei679M?HWilA z}~a*aZrT zd|7bsbDEPel=*i2DkMtQtIs6@Q6J*5MNI5%IZ?J#kbVt1vZ42&E}`6t&+y|$7WpH6 ze(+EBmt_Wrqv0%6aO=p5*=%6TR<(YBjE`XC;*9b5O7I@kS=-g=XKV(qNNbB0G=hg- zj1d+L zuRh20|D1CBMXsz=rD<5}M*8{BnnezhSv z;#2W3S%6Ehwi#j#q*aC5nO-M8=!YxOUO1)=>737>;15ql47g4d?NJC5uq633=u-3X3O<)KIgR!@xqF!?OYa>6Aw=h`p4*!VO=NLBe;R8g z93>U1!2hlO0aXDB7S(G)ds(2CSf(j1rE0I9SVHdzJvcd{ z28o+3tXQ9{A)tF7!+5*WEDe0jB@!LV_eHzJ-3s&RE2NU3Pq4813RL*IwCDYkM@?#a z&sk6^{89j-&;Ra}4Z@|&-R|9MisXa!1|2qndZ8SM(FaT6Jl^nC^U&;%ibeZ0M*Fs5 z{xXgz?*yo-Z*$5y{ow2_TTsCVK;#O{MWzs=P|R{2QL;~JNCTbO# zn)$LgPoOr>9)#?BRaOCP#xSK`B-|mY;S}R$=W%d)bE||1d#*AJbcZ?s7|26vUfcyK zrt`V>oq#{uC8%iA)WzU9M1ob3Ov%`m`cF-`25E^v{3WqW5}^_+4DX zt(Di6Ue6_hRaYe7JWCNgNQ(7Ww6^Qf-q|lho3TTst2M`n+J;9X57mjHj3I~ zEsuL+={Oi~?dn8;roUWJAmJoSiw;IqDPPyyZ0)fJ*uvD*YX9(Pvhkvs-SP0o#de}3?CMb=ATWYG-mLuvV3HI81#0}Q^#ezO0_(* z5s+1&?Ti35Tcg@Lj69}V7h>WWDG>!Nt~);1uN>Kju;!ZW?G}}8cT-AGyk&fhr-^<7 zA)OvU^paBY+Bt1BHH66>$bH%?I4r+!w_uoH3u`yG#N~pN?>6AL5fe z_HB%pbW7&k$xBNwQLKK4Y~mKYvWIx(1^G&RdgBYKrOfiUOKKbQ@3)_|N#>vBM;}DV z4ZbA;t=F^%01I#UET;ky1gF^>tUeg%Pqz! ztN~0g13$YK>as2RTIJM^(cl5+JTQC{sFbc`XqZ}^;v1fs8E#{1p(67IkGDOjowQ<| zh9({CrfMysJPa-3lj*d| z1*mtm6XZ8HjjYL3KT0yceGFP6gOPK-dWN*jlM~GpCgkTYdqWk&&GEY9dk#gHVvnZ3 zroSD|gS}6S^zC&m)y)&D2}}=miO(iCC{2xPG;bCW?6KdcV`|gdlf$oG-Xrl2-d&qM z`d&eg`SMkB9UC^J-E&cOPl7Q}k|53wC$$+ZjoQR8D7zfxx$_M{?VSafmfYW2aC*ko zbbWrjtZINyN1H?3j(RVH{fp%4GWL4=E5v7cTL z3wE?m-jFS4T0Y;c&INvp`+U9ZxDG!UUFcpU@Y%ET`F1(!)QXqmfsDp5G-z_U@ncgO zwee)>dk$Do?^tkETCTxoH3rd`;aW?JQYx{p`8CG5(XX9U@gH{p6x%Jbk@r&2CrXg&Egfei`y>aB0FA-{MNK!= zSUo3W<1AOx=u~;~UaX_Zl8ogPuN;&XB~AE-kjw-}jxzSOISGq;-FUf-n6(!kfYES> zn(r3iIJ~$5)uhoIdi9S?z_ty;Ei-4=1MUg`+SC6V2FVw|AOVpOfI-^$2Mp4&{vXC5 z{eiWx(vVOHDomoAg`}dJ(+X8NxgGLh5X>hEkfzIyE4?8}qi{YCs6X}TQCF+Y)q;4- za`=xgePjU!uS4tFiH;#*66uiOGCeT0lzK>!^^Klu*mtv`@t;)!9z1UZ#VOMsJ|i@L zSSqa4$IOo^x}aPqC)yH0>+~A6_SQ0Gb{WWzIo!8uqNog3@f95xt(*Cr5~(9mg( z+RXRa+m<{xM!PKQI0B1MXk)7hPq__?OtKIINP|!9@i#eV=y*s|RfhV4cgZ1_5y>didP(tv|T(BqYru6qWP45_F z>mfB>+bQSIU;yn8&$*U^zAWXwf51)RueuYk9x9vkMXLz!Bu)fzk1z=%bmYraVgbj; zvxuhp9YKKBdEg3!Ut19hsVdC#SaG@O*k=n8R$k_`+iA|?oFt;L3Iy@@BtdL1~gBl#ojuJi^&trLi^NXVYeK-@nq#^3m3i4enu>4)IJ9rst^An(#`Z?e6v z(_1UMn}`ET>Jqo-hB+}}bvJx0#2!&biDbW>oGhGo8VP=K*d7Y06?`Sj;6J}8fF7w* zEA|%Yu74R^z3}kHhj-(<3JH?abl7b;y{}8K>NcX6c)}+<+0&TM_8-ANiF&v&ZNeFk zmuMWaI3~pm(|@WH^^IINHDRO#XoA-wePP}Ax-G#cD}{_h@{Ikf?T*0ElJ9bMk4rQQ z?uG5L`E~KU0<^}ZfQOQ}*W=n6xI=B~H|ubc*I*~OS976s)Q`}@Rm#>}0N%yqF9iQ2 z4YA*&GB)x)?@mujT2FIi^lUmVXkDmrj@cb{tTO6h<#9LXoP=gv zJh?1^+w28Gs@L;S=c=V9>U@cP3~Dm*qXU1-~|E8)46bl%Qm-H7G2 zgKKmi#q}SHrz+O~zmAcCiCzLK@8GA_1Hl&%gsGthy|sHa@7`=_tWBrQPl{7##Ff!k zRdtr1e_s>F;Gt_=Yr_prJ64L7;Q(qg!+=p>0LHBoF67%$1t%ZYH&3P~YfEdpi`>hf zHCCsdMX4-&6H=cK@ZC@!rsD3&&R(kNso0(?L}#ds!)@NbA68PSuI2Ib^;zF-Y&s;P zlbMPQNM+%(%ReG0b01T8w%LYF821l+EV=%l%5?lum|k|4YV)8=z=uMP+E&^VWi(YK zM{bqTes6qv1$x0-a=wS%2oNibxxGAJ`l%y(_p%UZ?P>!3-Rl?$bYib8IcjO{C=wWd zJiFmnHO`OG%@=|U@b#~fMg4{DC&;|$xdfB7H(v$0VjX+3*7~`y??7AlsjOglgFb^f z6Q2U!nWx%&8FmaUU>*P?qjUwjP0ezVXs&YwqL5&}0_DVBB*QPlm#;u2bVV2E7nT@H zI5Mi;-u&lH$U*KiU_Hf6c(;2073e$gVUBDdXJpw_w7&w$UV&(@K&kL9I{)$ZBX0P& z2VDT2B{#rlm=OwJ5#;PKFqp8G4q4$`gC9`< z-x&o4#K@1?0mq#UkAi=O{F1Ku^CtW^>7xIU^d+>VAVMD#Ony;p06$P**}w4u^79&S zX4@-Jf9TKnbogj{FJztNm+Xp5B9`A|NBpjAuM44+9iA)DgILTHKFAqoEIPcAzd zVe)OV5BK(C&q9Am1xhgwLjNN5*6&DV0^S^8Co%j>-W4c`m>i>$hq>hpJkR?qXM9(n zv+GwNZ4u40Q*_@&*FQe(-w_O`S%~mu0sQ;pE6`wY=oJX8^>4Hy4E{Hr0QBIOY~aD> z{w7@ccZK);MJ2M209E)+C+vPtCjdwAOFZN|AoVx#W4|N*PnG;rC4Vzif2!o4R`O3P z`S-5-f4mWY$VvjP6N1o@h9k*0Fr7d|5HH`N(ZAftWi$?$dcd9BkVGju{HXgr3y*-T z`yV{b(vLSED0$$5(22<$T`J&qYiOmrXwyG+y{P$jmE8Xs8bs%z((%l>7~q>5F93H{ zsRKC0aazZotc|=!Q~T{PG5}9qdl!ZTRT%47YPOY}9=*6V)K?QDIx*aognyTdQWN}bHy3$sO3)>;R9G)6Yw^Cf%BT~e65cLz*q%ktFPcK_cVJ`5(C93XmI5cQ0U@BimE-Kb)-npZmX02xxKgEsnq2V(B z0&!2&bN2Nc_Hc3V`+*vbLNXjs;w zp=DGhpA*+Q!z%C8{m!pp)IQnGBaMqy1C+sM?y5QXS+ym=ji zE|P0w{U>XKGh?tt=c$E5;T^vmCgxZB8=Z^12?H`h1)ELp7UaR1%e5rQ8snqb3eV?I zbcOZt5}fE6tc7WD{ih^Qu9H`l?c+z8imP&ydWWVp9~-L1bCuWIy;@>+En1Y>5FZgT z8BsysmXWhh0-$K~)ulk0XDiYW^6zm=1I+KXNNdmMZdNBFw=E~9L7%hJa5=SlnVCF$)VTa=XRt>!%d+2@{i_9E(Mynq@l*Wu=yQ2A zgXv_=J?7r&i$%x8QRv4WYW{-yRJkqoa8;GVJCgPG0T0(1l@1@{k4Cp~I4m+xm)EG% zs0IF9nYa61=$rhC1ktmF$g!yG*R?d59YCn`<1nU!4wi2CPe}OF8tzoosBw$k6Ww$* zol`Gv`j8^!TEpXFv*pz5BcOdCa-D~6-V>OfpL2;tM70S{!PtwwPp3$D!V!*)Jg{Le zx{0#xPPJlO28$3S-s`UH&ld2>c0sbCUydE2zKRpaLy%+o=oWpUjq-swDNIO!Sn+>= zqUfH!xSxx5?%wogo8&(lk{b+hOw*(7lDOa4Pj{~v=W|U(1PvlII`2z{TC}L+(D|_N z^o}#J#;M+&vvHcxA)?AVhS(qD-WG$Op+Sck*$8Q!z^@MK$l~Cb(iH6p+x0^7%u-PU3rRJ@i+y1i4!$b+id7WcY|GD5~;taoO`&J{Z;Lx z1PwpGgqM36^Erahkbbs+f1PkW03;to%ayy*==$XB3u=l#7Zp?R zJS9DNYF_Sjmc9o;IbAs2X?c;QR)mNLQZu2dh!zMsL2nx%HrA zWbKf(q`{3fcbK1u$hm`xod{%N@%{mQ0%g+Jq|0zh#FU^8zwF5K{%}Cow2 z_e1>8P||&8%49074?8YqJ4Z?r?Wo!IYL`n=pa%UFNH~E+aSOQ=Lf8G|y>{1}OD(xZ zm291fWs-Ov{WQQ*XN|cJ3>;;ii^IPluRw3Mu0R;25+M0_mI>r75*ST#jB@O8GvIu( z+h4c$Ly*<&HlsfoAqSaoAX_|wci$NSvRt69!1XH=V%hQpvNQ;s5FQ8bvh^R%KDrD4 zCiRyyeE+xCgiLQ&WBf6cS0FYxvKnr)^y`}0zpgp?``64y%`R2jUXrn#X|w~m$vp*_ zpJI*1QGL=;K1syDVy-WMM-ES+|7L%nQ&EJr#wbayEX{>3%SI#5hn7eksVO4KdO!1+qf^~r5~nA zkiBt&y&;6osbcp7_@MlvT~^%J(85OPAd&SgERPEBIs(Rx!i&Bv%zc($P*cYjjorN) z-}h}c1CN;YX|CRE)Kg2GatSv%S~%*REL{mPb*9W62Hc7K`iPTtX`h^!$=P0;U=E6* z+s4^E)*iOR_3MKrk4d9-kP?9&WzOd&t#u8D$K1?|yWD#M7Ih8eIL0)|i;~ndZ{&J~ z*m<5e`<&^6sE)5dL2X$3{GXa9oi<{SYqmbn3IQnCBY_tBEj){mB1*W=g>rz}Q?>_8 zDI!O|NQ-tuniDwGBkDtuS+mFZ@#)k}4ao?0(K4Afg_fAH2jHa0hG-f-I1#9%0LF!) zj^wERfp``+YhrBLbN<8FX*#)goch~{XJ^lI?|aHz=^!z|U|F1Lt7KEnM>kq~dZs2D z6YjU}LE8qNf50K>1K%a3J9|M@*{T~r!0U#((J4{?xIEXb*zBwEoI2%0S6^4r&K2KC z$Jkop0kC6IGG|TD!0fHC!Cl6;0i;`+L0R~flQj!w*D6S-(<_U;CS6!|m>(sm-!KhH zjZBVFv2wQ$O5$^!15ueThjw)pB7Vfpna-63yn+@5J#LQJoQ1Z1spOO3;ZDOYm>dI@ zLpK8>|~YExp&tN`<^)x z@=C0~C`fzaQRH)%i{a`aI@gk-6!-kRpt}1(_3x_Q7n79A;R{}HXNSbvpGddL`sUm1 zy-O-;ZAw>3)S~b!8jk_1*{Mi5+A^;K~%Yn89Vs7e9ntDV_irUF{r+4wtU8`DaKPluc zv>?WSjzdW)zEPi!kwT7&9W8;{y~nA3 zs1Lnza$Q8A>Jpd$syvq@>yew`qQqQ;sRHj=|Ia8h-7f2J(grB>1JRx?wE4|-tVR11 zafEenU4~VgY3m0S61B_8=m*6Ypd8}K{{UI0*q=aJo)h~(M2;B>>4f8(IG$oS?3~}V zP3p<5Gi()WOLEG`80IRk>4w-UPZ=3>Hi8Zh#pQ%UJ4QpcWGh@rgS&;dm~GZ0er}35 zSvS%oFx;z(t)df<%e;ur$R`?pO9E07?1&9HrS>#(Pxi8zp7?xddG5D3wO650Hrd9%^#mG6ltSlHws%t zqW-!0_&Wail-TjfqoUL?;*D#Jeg>py4q=c6W z)9`F%UBqZAkMR{YcCeQHsCfrqs`W25X9a7C?{L0O1i!S`a((ei|s32PHa!W3HhyklA5Iy2Gn zkH~Ls0b70D)rfyUFI1pDUM`-fo3AXZ4>Z(n4EA%GMm3sT7yu9O+RQ|5 z`lb70rT2v~DN=<+mzmJ@%b=YD=|R?PyH5sVo(aPZZ$ZLXo~tWf-EU@E?&l%UO6rZV z56APSER*k9C_27rFwU;-jnAOM%G^maNa+mGV`wx2okZWztDQM=B=yw<&pC+in{*pI zJ#%CA=*K+_1UTw@{BiKhn3cAiT*fR zR;@ex)2R@DN_foz_Jh;sIE?g(htX4j?Ej82VJTPxIt_`Tymh2X9;SGx3&ucKi#IDvW~Vw?(>CB<10SXGl~ zil#xGcT2?j7I%4Vh^@`!=Cx)C$G)g6>*SnaxRo)e=x&0&`n=0cjtL7G?H&;QdKB)o zu*2Rw=@LknzwT$e!{P`I8DZJcUbZEUuV+vM-BlMkaX_2q%|5ix?(OxT>bp=1o`0h|royL6FR$xBDWv-b>Tx`QhTc#>@>FHIN7$<5{z%E^#{-yX#OwH;w{^ z$y-}p_*BW)p0qHxRO!R#Hup4%c#}TQaeQ}#i-+BsB zwKtifqoYCiMIQShJ|j_z3)eS7Mrd^i9L zXT67>`haVOsO@u3uBaCMZ!N=H)fj@&UF0y&!lql{7+ z<{3j?ZpE9_^!ezd8IQ&EFZZgWn6YbXe6+fr?hSlHBf^5kwt`Cksct>E5-(%=WeYf|8FxKbqER1Ex zd%@{5-QSOV*wt^1Beu5NUL>dN&_m1LU6*`JgZ*9UEwerVYsT}lUF|lbnh+a+8NX90 z+Vp2Kv}&l1(QC3tQtK@CaJ=uj;S;D(AFr8Oxy`+XqIr%>50F43?UtUnP|s=R_7!Ga z6NXk;C-}Z^7V!f=?>VuKAE#~Pqw&NMxkXwKAVpk(pg~dd0Cq>RtvW*0^h zR8N*1=ZKYv3G3!C$DfS@+3><}t+0>GnPjO=)Z7^9m(rLDTI%_w=1elYVrW;BE;3?y z2h#%88E~W1!k)^Bf)Ziw=x6p`g*?zqD4MxCgm@%SiEn||6r;s^ zJdr9nMDXhvA!9Td=AiHVu4&{o_gSuV$Jez0|C8^&r9%ZfK2f8gReb*$6#;HNh|wnd zT;9x4PuSesw^PTVvlsDmbDw{Y&BEeilcPOpMjU$++2a}|*t1Yv0J6_qy(}2^(mZxf z5A*p!N#U?F#Q=vh|L)GSmimTA!E9!d0jyD>dQ1S^cC7fHmTG>pGj}1(-e0^0)hm;U zMT$42T94Z@EgirVgwD={y=T{+hJ{tI*G)@5+0k?20j-So67F6I?H(q~$=`v*)l*_7i;fakx98v_%&_}R ze6mHF9EV#{q(v1}QM>q+oP_&QP!{PpjIb0Y`H_ag-l(=kZ-PZy1UF=m7?*pE@lMF1 z>~nvotRpPF)#a3+V`APpsF~w}qM!0-ATtmkHc{oQPVOkNCMqq#9ih?gEko8GXt*VhIF?l6u*-xxgZVzkG6{5zVu#mO(vX6@q-q`7OY3R#j|Xt9v{D z1yNXBE{2*ehe!lQjPhFtHUk#vW}RwHi!O&b?^>%AWZm76py*?>>iqCRgz9=2+M=c8 zR)F}$eN>m~K37CWw^Y>b^bCdlkgEe|4*XMLZ|*|@`6RAqyy-QzsZiefbSew+jH%pyhchX%QL49!XC zK^@lVs70d`m}*;VYxL?)#)`StqHm4(Rtt5|f^gdY2KM@A%CrV-w;&biO?Q{_%s(`) zE%+>vJR`o#p0&8XP_M-2^pGUxK1qS0iXNT{E>0M*x{(XnP?K?wxle0yJ4MqbVbQL< z-H)-FZ^(_+OK<*E78Wh^)Jup&ys895HjN=fivT1x<9Uw5!i4U2q9n5>H3I4Glr9EI zAC>#hXpgNpG>t$D9gEk~+FNOT^UE;R zTNUsNc2zo4S}JSS>-P!L4;;ThTglMsVCdFTZF`5h#A9D+LB{VXn=NVVGyK#tS1EcJpjw`M}R7%y)c5pBZEX%Q%q(%@7c^MpCdM|_Ajs^7<0Dr*0I{;(i zC^!_@(xSEf)mILfBJV@91Dg!=0I@+^=9t^DHeCpU3vtLNmY?)B@Cz2BE71NEUvcIy z5M(9h8ZZnp1x)QN|D3r3MdZzXJbCr!Y5%;p|8Hr662_+W*Q+<(exa+D-zh9h1c2_s zV7_Rtea+>e>GW9I_8m literal 0 HcmV?d00001 diff --git a/sagemaker-clarify/clarify-explainability-inference-pipelines/data/codetable.txt b/sagemaker-clarify/clarify-explainability-inference-pipelines/data/codetable.txt new file mode 100644 index 0000000000..df39538a98 --- /dev/null +++ b/sagemaker-clarify/clarify-explainability-inference-pipelines/data/codetable.txt @@ -0,0 +1,133 @@ +$`laufkont = status` + + 1 : no checking account + 2 : ... < 0 DM + 3 : 0<= ... < 200 DM + 4 : ... >= 200 DM / salary for at least 1 year + +$`laufzeit = duration` + + +$`moral = credit_history` + + 0 : delay in paying off in the past + 1 : critical account/other credits elsewhere + 2 : no credits taken/all credits paid back duly + 3 : existing credits paid back duly till now + 4 : all credits at this bank paid back duly + +$`verw = purpose` + + 0 : others + 1 : car (new) + 2 : car (used) + 3 : furniture/equipment + 4 : radio/television + 5 : domestic appliances + 6 : repairs + 7 : education + 8 : vacation + 9 : retraining + 10 : business + +$`hoehe = amount` + + +$`sparkont = savings` + + 1 : unknown/no savings account + 2 : ... < 100 DM + 3 : 100 <= ... < 500 DM + 4 : 500 <= ... < 1000 DM + 5 : ... >= 1000 DM + +$`beszeit = employment_duration` + + 1 : unemployed + 2 : < 1 yr + 3 : 1 <= ... < 4 yrs + 4 : 4 <= ... < 7 yrs + 5 : >= 7 yrs + +$`rate = installment_rate` + + 1 : >= 35 + 2 : 25 <= ... < 35 + 3 : 20 <= ... < 25 + 4 : < 20 + +$`famges = personal_status_sex` + + 1 : male : divorced/separated + 2 : female : non-single or male : single + 3 : male : married/widowed + 4 : female : single + +$`buerge = other_debtors` + + 1 : none + 2 : co-applicant + 3 : guarantor + +$`wohnzeit = present_residence` + + 1 : < 1 yr + 2 : 1 <= ... < 4 yrs + 3 : 4 <= ... < 7 yrs + 4 : >= 7 yrs + +$`verm = property` + + 1 : unknown / no property + 2 : car or other + 3 : building soc. savings agr./life insurance + 4 : real estate + +$`alter = age` + + +$`weitkred = other_installment_plans` + + 1 : bank + 2 : stores + 3 : none + +$`wohn = housing` + + 1 : for free + 2 : rent + 3 : own + +$`bishkred = number_credits` + + 1 : 1 + 2 : 2-3 + 3 : 4-5 + 4 : >= 6 + +$`beruf = job` + + 1 : unemployed/unskilled - non-resident + 2 : unskilled - resident + 3 : skilled employee/official + 4 : manager/self-empl./highly qualif. employee + +$`pers = people_liable` + + 1 : 3 or more + 2 : 0 to 2 + +$`telef = telephone` + + 1 : no + 2 : yes (under customer name) + +$`gastarb = foreign_worker` + + 1 : yes + 2 : no + +$`kredit = credit_risk` + + 0 : bad + 1 : good diff --git a/sagemaker-clarify/clarify-explainability-inference-pipelines/inference/sklearn/inference.py b/sagemaker-clarify/clarify-explainability-inference-pipelines/inference/sklearn/inference.py new file mode 100644 index 0000000000..640d0e2bde --- /dev/null +++ b/sagemaker-clarify/clarify-explainability-inference-pipelines/inference/sklearn/inference.py @@ -0,0 +1,69 @@ +from __future__ import print_function + + +from io import StringIO +import os + + +import pandas as pd + + +from sklearn.externals import joblib + + +feature_columns_names = [ + "status", + "duration", + "credit_history", + "purpose", + "amount", + "savings", + "employment_duration", + "installment_rate", + "personal_status_sex", + "other_debtors", + "present_residence", + "property", + "age", + "other_installment_plans", + "housing", + "number_credits", + "job", + "people_liable", + "telephone", + "foreign_worker", +] + + +def input_fn(input_data, content_type): + + if content_type == "text/csv": + df = pd.read_csv(StringIO(input_data), header=None, index_col=False, sep=",") + + first_row = df.iloc[0:1].values[0].tolist() + + if len(df.columns) == len(feature_columns_names): + print("column length is correct") + + if set(first_row) == set(feature_columns_names): + print("the row contains header, remove the row") + df = df.iloc[1:] + df.reset_index(drop=True, inplace=True) + + df.columns = feature_columns_names + + return df + else: + raise ValueError("{} not supported by script!".format(content_type)) + + +def predict_fn(input_data, model): + input_data.head(1) + features = model.transform(input_data) + print("successful sklearn inference", features) + return features + + +def model_fn(model_dir): + preprocessor = joblib.load(os.path.join(model_dir, "model.joblib")) + return preprocessor diff --git a/sagemaker-clarify/clarify-explainability-inference-pipelines/inference/xgboost/inference.py b/sagemaker-clarify/clarify-explainability-inference-pipelines/inference/xgboost/inference.py new file mode 100644 index 0000000000..9e5af73bf6 --- /dev/null +++ b/sagemaker-clarify/clarify-explainability-inference-pipelines/inference/xgboost/inference.py @@ -0,0 +1,26 @@ +import pickle as pkl +import json +import numpy as np +import xgboost as xgb + +from sagemaker_containers.beta.framework import content_types +from sagemaker_xgboost_container import encoder as xgb_encoders + + +def input_fn(input_data, content_type): + if content_type == content_types.JSON: + print("Recieved content type is json") + print("input_data is", input_data) + obj = json.loads(input_data) + print("obj", obj) + array = np.array(obj) + return xgb.DMatrix(array) + else: + print("content type is not json") + return xgb_encoders.decode(input_data, content_type) + + +def model_fn(model_dir): + model_file = model_dir + "/model.bin" + model = pkl.load(open(model_file, "rb")) + return model diff --git a/sagemaker-clarify/clarify-explainability-inference-pipelines/processing/preprocessor.py b/sagemaker-clarify/clarify-explainability-inference-pipelines/processing/preprocessor.py new file mode 100644 index 0000000000..d0b364f95e --- /dev/null +++ b/sagemaker-clarify/clarify-explainability-inference-pipelines/processing/preprocessor.py @@ -0,0 +1,123 @@ +import argparse +import os +import warnings + +import pandas as pd +import numpy as np +import tarfile +import sklearn +from sklearn.externals import joblib +from sklearn.model_selection import train_test_split +from sklearn.preprocessing import OneHotEncoder, LabelEncoder +from sklearn.compose import make_column_transformer + +from sklearn.exceptions import DataConversionWarning + +warnings.filterwarnings(action="ignore", category=DataConversionWarning) + +columns = [ + "status", + "duration", + "credit_history", + "purpose", + "amount", + "savings", + "employment_duration", + "installment_rate", + "personal_status_sex", + "other_debtors", + "present_residence", + "property", + "age", + "other_installment_plans", + "housing", + "number_credits", + "job", + "people_liable", + "telephone", + "foreign_worker", + "credit_risk", +] + +if __name__ == "__main__": + + # Read the arguments passed to the script. + parser = argparse.ArgumentParser() + parser.add_argument("--train-test-split-ratio", type=float, default=0.3) + args, _ = parser.parse_known_args() + + print("Received arguments {}".format(args)) + + # Read input data into a Pandas dataframe. + input_data_path = os.path.join("/opt/ml/processing/input", "train.csv") + print("Reading input data from {}".format(input_data_path)) + df = pd.read_csv(input_data_path, names=None, header=0, sep=",") + + # Defining one-hot encoders. + print("performing one hot encoding") + transformer = make_column_transformer( + ( + [ + "credit_history", + "purpose", + "personal_status_sex", + "other_debtors", + "property", + "other_installment_plans", + "housing", + "job", + "telephone", + "foreign_worker", + ], + OneHotEncoder(sparse=False), + ), + remainder="passthrough", + ) + + print("preparing the features and labels") + X = df.drop("credit_risk", axis=1) + y = df["credit_risk"] + + print("building sklearn transformer") + featurizer_model = transformer.fit(X) + features = featurizer_model.transform(X) + labels = LabelEncoder().fit_transform(y) + + # Splitting. + split_ratio = args.train_test_split_ratio + print("Splitting data into train and validation sets with ratio {}".format(split_ratio)) + X_train, X_val, y_train, y_val = train_test_split( + features, labels, test_size=split_ratio, random_state=0 + ) + + print("Train features shape after preprocessing: {}".format(X_train.shape)) + print("Validation features shape after preprocessing: {}".format(X_val.shape)) + + # Saving outputs. + train_features_output_path = os.path.join("/opt/ml/processing/train", "train_features.csv") + train_labels_output_path = os.path.join("/opt/ml/processing/train", "train_labels.csv") + + val_features_output_path = os.path.join("/opt/ml/processing/val", "val_features.csv") + val_labels_output_path = os.path.join("/opt/ml/processing/val", "val_labels.csv") + + print("Saving training features to {}".format(train_features_output_path)) + pd.DataFrame(X_train).to_csv(train_features_output_path, header=False, index=False) + + print("Saving training labels to {}".format(train_labels_output_path)) + pd.DataFrame(y_train).to_csv(train_labels_output_path, header=False, index=False) + + print("Saving validation features to {}".format(val_features_output_path)) + pd.DataFrame(X_val).to_csv(val_features_output_path, header=False, index=False) + + print("Saving validation labels to {}".format(val_labels_output_path)) + pd.DataFrame(y_val).to_csv(val_labels_output_path, header=False, index=False) + + # Saving model. + model_path = os.path.join("/opt/ml/processing/model", "model.joblib") + model_output_path = os.path.join("/opt/ml/processing/model", "model.tar.gz") + + print("Saving featurizer model to {}".format(model_output_path)) + joblib.dump(featurizer_model, model_path) + tar = tarfile.open(model_output_path, "w:gz") + tar.add(model_path, arcname="model.joblib") + tar.close() diff --git a/sagemaker-clarify/clarify-explainability-inference-pipelines/training/train_xgboost.py b/sagemaker-clarify/clarify-explainability-inference-pipelines/training/train_xgboost.py new file mode 100644 index 0000000000..88e5e990a7 --- /dev/null +++ b/sagemaker-clarify/clarify-explainability-inference-pipelines/training/train_xgboost.py @@ -0,0 +1,86 @@ +import argparse +import json +import os +import random +import pandas as pd +import glob +import pickle as pkl + +import xgboost + + +def parse_args(): + + parser = argparse.ArgumentParser() + + parser.add_argument("--max_depth", type=int, default=5) + parser.add_argument("--eta", type=float, default=0.05) + parser.add_argument("--gamma", type=int, default=4) + parser.add_argument("--min_child_weight", type=int, default=6) + parser.add_argument("--silent", type=int, default=0) + parser.add_argument("--objective", type=str, default="binary:logistic") + parser.add_argument("--eval_metric", type=str, default="auc") + parser.add_argument("--num_round", type=int, default=100) + parser.add_argument("--subsample", type=float, default=0.8) + parser.add_argument("--early_stopping_rounds", type=int, default=20) + + parser.add_argument("--train", type=str, default=os.environ.get("SM_CHANNEL_TRAIN")) + parser.add_argument("--validation", type=str, default=os.environ.get("SM_CHANNEL_VALIDATION")) + + args = parser.parse_args() + + return args + + +def main(): + + args = parse_args() + train_files_path, validation_files_path = args.train, args.validation + + train_features_path = os.path.join(args.train, "train_features.csv") + train_labels_path = os.path.join(args.train, "train_labels.csv") + + val_features_path = os.path.join(args.validation, "val_features.csv") + val_labels_path = os.path.join(args.validation, "val_labels.csv") + + print("Loading training dataframes...") + df_train_features = pd.read_csv(train_features_path) + df_train_labels = pd.read_csv(train_labels_path) + + print("Loading validation dataframes...") + df_val_features = pd.read_csv(val_features_path) + df_val_labels = pd.read_csv(val_labels_path) + + X = df_train_features.values + y = df_train_labels.values + + val_X = df_val_features.values + val_y = df_val_labels.values + + dtrain = xgboost.DMatrix(X, label=y) + dval = xgboost.DMatrix(val_X, label=val_y) + + watchlist = [(dtrain, "train"), (dval, "validation")] + + params = { + "max_depth": args.max_depth, + "eta": args.eta, + "gamma": args.gamma, + "min_child_weight": args.min_child_weight, + "silent": args.silent, + "objective": args.objective, + "subsample": args.subsample, + "eval_metric": args.eval_metric, + "early_stopping_rounds": args.early_stopping_rounds, + } + + bst = xgboost.train( + params=params, dtrain=dtrain, evals=watchlist, num_boost_round=args.num_round + ) + + model_dir = os.environ.get("SM_MODEL_DIR") + pkl.dump(bst, open(model_dir + "/model.bin", "wb")) + + +if __name__ == "__main__": + main()