From 6643e2886a1bcad282af4473e1befc34fb433ab2 Mon Sep 17 00:00:00 2001 From: mhjensen Date: Fri, 12 Nov 2021 11:37:54 +0100 Subject: [PATCH] update --- doc/pub/week45/ipynb/DataFiles/cancer.dot | 16 +- doc/pub/week45/ipynb/DataFiles/cancer.png | Bin 248374 -> 250121 bytes .../Results/FigureFiles/gdregression.png | Bin 8148 -> 8281 bytes doc/pub/week45/ipynb/week45.ipynb | 2191 ++++++++++------- 4 files changed, 1316 insertions(+), 891 deletions(-) diff --git a/doc/pub/week45/ipynb/DataFiles/cancer.dot b/doc/pub/week45/ipynb/DataFiles/cancer.dot index be1a64a18..9525ed631 100644 --- a/doc/pub/week45/ipynb/DataFiles/cancer.dot +++ b/doc/pub/week45/ipynb/DataFiles/cancer.dot @@ -6,11 +6,11 @@ edge [fontname=helvetica] ; 0 -> 1 [labeldistance=2.5, labelangle=45, headlabel="True"] ; 2 [label="worst concave points <= 0.135\ngini = 0.031\nsamples = 253\nvalue = [[249, 4]\n[4, 249]]", fillcolor="#e78946"] ; 1 -> 2 ; -3 [label="area error <= 48.975\ngini = 0.008\nsamples = 242\nvalue = [[241, 1]\n[1, 241]]", fillcolor="#e5833c"] ; +3 [label="radius error <= 0.643\ngini = 0.008\nsamples = 242\nvalue = [[241, 1]\n[1, 241]]", fillcolor="#e5833c"] ; 2 -> 3 ; 4 [label="gini = 0.0\nsamples = 239\nvalue = [[239, 0]\n[0, 239]]", fillcolor="#e58139"] ; 3 -> 4 ; -5 [label="mean symmetry <= 0.166\ngini = 0.444\nsamples = 3\nvalue = [[2, 1]\n[1, 2]]", fillcolor="#fdf6f0"] ; +5 [label="mean perimeter <= 78.51\ngini = 0.444\nsamples = 3\nvalue = [[2, 1]\n[1, 2]]", fillcolor="#fdf6f0"] ; 3 -> 5 ; 6 [label="gini = 0.0\nsamples = 1\nvalue = [[0, 1]\n[1, 0]]", fillcolor="#e58139"] ; 5 -> 6 ; @@ -22,7 +22,7 @@ edge [fontname=helvetica] ; 8 -> 9 ; 10 [label="gini = 0.0\nsamples = 3\nvalue = [[0, 3]\n[3, 0]]", fillcolor="#e58139"] ; 8 -> 10 ; -11 [label="area error <= 13.475\ngini = 0.278\nsamples = 6\nvalue = [[1, 5]\n[5, 1]]", fillcolor="#f4caac"] ; +11 [label="worst texture <= 24.785\ngini = 0.278\nsamples = 6\nvalue = [[1, 5]\n[5, 1]]", fillcolor="#f4caac"] ; 1 -> 11 ; 12 [label="gini = 0.0\nsamples = 1\nvalue = [[1, 0]\n[0, 1]]", fillcolor="#e58139"] ; 11 -> 12 ; @@ -30,11 +30,11 @@ edge [fontname=helvetica] ; 11 -> 13 ; 14 [label="worst texture <= 20.645\ngini = 0.202\nsamples = 167\nvalue = [[19, 148]\n[148, 19]]", fillcolor="#f0b68c"] ; 0 -> 14 [labeldistance=2.5, labelangle=-45, headlabel="False"] ; -15 [label="worst radius <= 17.74\ngini = 0.375\nsamples = 16\nvalue = [[12, 4]\n[4, 12]]", fillcolor="#f9e3d4"] ; +15 [label="worst perimeter <= 116.8\ngini = 0.375\nsamples = 16\nvalue = [[12, 4]\n[4, 12]]", fillcolor="#f9e3d4"] ; 14 -> 15 ; 16 [label="gini = 0.0\nsamples = 11\nvalue = [[11, 0]\n[0, 11]]", fillcolor="#e58139"] ; 15 -> 16 ; -17 [label="concave points error <= 0.008\ngini = 0.32\nsamples = 5\nvalue = [[1, 4]\n[4, 1]]", fillcolor="#f6d5bd"] ; +17 [label="worst compactness <= 0.126\ngini = 0.32\nsamples = 5\nvalue = [[1, 4]\n[4, 1]]", fillcolor="#f6d5bd"] ; 15 -> 17 ; 18 [label="gini = 0.0\nsamples = 1\nvalue = [[1, 0]\n[0, 1]]", fillcolor="#e58139"] ; 17 -> 18 ; @@ -48,10 +48,10 @@ edge [fontname=helvetica] ; 21 -> 22 ; 23 [label="gini = 0.0\nsamples = 6\nvalue = [[6, 0]\n[0, 6]]", fillcolor="#e58139"] ; 21 -> 23 ; -24 [label="worst smoothness <= 0.096\ngini = 0.015\nsamples = 136\nvalue = [[1, 135]\n[135, 1]]", fillcolor="#e6853f"] ; +24 [label="fractal dimension error <= 0.013\ngini = 0.015\nsamples = 136\nvalue = [[1, 135]\n[135, 1]]", fillcolor="#e6853f"] ; 20 -> 24 ; -25 [label="gini = 0.0\nsamples = 1\nvalue = [[1, 0]\n[0, 1]]", fillcolor="#e58139"] ; +25 [label="gini = 0.0\nsamples = 135\nvalue = [[0, 135]\n[135, 0]]", fillcolor="#e58139"] ; 24 -> 25 ; -26 [label="gini = 0.0\nsamples = 135\nvalue = [[0, 135]\n[135, 0]]", fillcolor="#e58139"] ; +26 [label="gini = 0.0\nsamples = 1\nvalue = [[1, 0]\n[0, 1]]", fillcolor="#e58139"] ; 24 -> 26 ; } \ No newline at end of file diff --git a/doc/pub/week45/ipynb/DataFiles/cancer.png b/doc/pub/week45/ipynb/DataFiles/cancer.png index f74fc3c508ff4599733a34bac0d44f9383abea65..1a31a10b2d09720f36c8075a2c3365d02e914e51 100644 GIT binary patch literal 250121 zcma&O1z418*FQRl!d5{H6i`AXC8ZlIq(MPNLO>en?odQZKtMoRq(n-(K^ml_yStmA z=d9U;@B96~|2cCVj)Wn4!AyDXlz7{70AP_eZqL1!Bvksphu(EFILe;EHF;srMc=`4Vy81yo zS#qr>-q(drKQF9*qvzE#l9c`6AF&wrH_sFcvxW2n?`Nl9@t}DBe)nMCufRz%K;)f! z=bXtaq(vR~l3CNP{WA8_Zn$rm2204rOaJxdM<2kDbmf11)21iUn(6j`efd{CD zS6-@9>&fK7IQ*X9dY%(XK)We?q}uyNWo4y?1ta#=j_qDmKNF}8CkWPG&+;zU%q@fJeZD|qL34-ko|)TpYB6o;PV#=G^=UG zr~`-c3UV%s9kxQNC9Q!ExbNS;Z;gJ4J=qZA5)-2iKXmw6ot~~JA6}v|&0JTScBT8J zM?yl(hVz7jq<>VZZ2hz=HCWOYYN80)ZE?zO-TFw(?Y}Zs6F?`Ink*&x?<>dS5=M&; zFSh8S1l5(XYH#(O^_g{>Ifi)2hzEYRE#)JEYMokLu<>60)M1YL7!_tUTu{*{uCLXTXe>~IR{m{QeP#b3>k25u%VY%nHHAMe6}_4&v^na^XZF} zVxQ69{`X5+jCRoL-|H6%y3T7!pQ+uf)z`_uX3)x&)ON|{PE}>)pRZ4^&}V2*1*`HE>?QujDZ=sy?6K<{5h^J3H^IX6yp8GcENt+!mU#&xd+)x zc|%Ua2-$cWv;7_KWT`XGiETwhtd{*|Do7!_3n67a*~FMw7sS$;Xt=&yA|IN#DolNj zAU(lB*vfLgKaif0g~cBO6Wg!3;HK-mr<#H67sCO&i=?EHlRGo=6*_D(aSFJ!&wlvN zx1~O;Ve6uKRe&$Dh(zpD=S$BLw=McCFV<=-c?@LmgC*95A;f_ir40RUkMiLy?1>zIi4sB zMX#!-7dEc0t{#wDoMWOVS(sx$$fEHN>?Dyc!lPZrk)dsI>Tp?CS3N#{)YzQw`G^`< zpI`722xj+wOx}~RpIcgSU{qW-EQEi}GDI{W!FYW7sZ=;$$eVs)GNJ(=I1B%agjOpexWj+Ex}JzPl4BDruCz*AW;;B<>Wj!n_bEoq-yUv(Y&CsGn9#{_R>99vFBfy^(-@x z!NSlQtZVPmzDV_SSh;LIvxBAR)E$%>?&eGApuXHkpC(-p^1PZLS-5%H?L9?3e~LXRk~mU}N%}So7vT~SYn1igP*r91 zMSS9q+1c#udhH_Yh9N`eXrCwRF#f>AzoRCc6vU9fwYx;jV^8S(Jn4nHws!rWvLy;4 zL9KO~pk2nQoSzG_X_tsEe=Jk|)l)a)vAO3S5JSF5!u!*Bq&y+?s2#IBK555`ooOn* zb~P7X%FD+QDRy@TsW|QjVq)Wk^l=#UR;KN4juhJ4_;*j#?~907-)joz-nJMLc+-(s zlW$ha{Iir`tlFony!>4%>A)90i%^?}I@yGtTqnT=9`o^}Gv{gKznw<7xZ$Y(K$>4? z*RO3LYSSI-485B4qNPBR7ZDyF@iR9U`&Uno2aAtS;^OO?rdL}#j4^P_D{E?4e#o=PZWsSEoCzkFkZfBx4Fn( zLn3JMF3RyBgsL&rY-=KAnf`OJvw%G)C`c*K+HZ-|fNHp#+4E{Lo7j&!MsMw~ACBi2 zSS^w6B9{_Sm!r(9a!vFayG_W_t(KI{FwB|1IQ&XoZ7gy&GIja92 z7yTkZ_4uPbQ@VSp6<(Dm<+WfzdlY|vZ;tvbn-SmO^c#U_djT5v7YvF&wKiy#UMZnR zI$h~OXpTYu%L0vb?qIq4&#xXqF%apG>|`E0$8Q>x`#(mHLa{4q5j zCsHE$85$48C#mF&3>*c>d2%X85yz9zPTVf_KL^qn|;3N zi~B=%}!S^!9i1150P^ir{TpLH|jf*x@gq2g|U%R`hyuA#8b1Q<*k%niL!;8 zvMCrIU6aDXHOrnctX4~d>^0BRUf`Balt2wgA_tZA264`xKM#|^+s#e5pvL2H5(c!@ z9Rr-yrU+i)2MKIKcsS%YJv zeUbTTF3s9(649X5+f!!%S|@*#}4i;519==xUs$-jb#%|kcx1ex79s+ zR@AKP)iWyR2?UH@T=I2z_34W`FEB}xnXK>@V#wnW$HQZDgjkz9 zI+EltXr2~X7u4isixp)Y9PIDT?@!3VN*Ha-d-yhAhVfUAU}Cad?01E0rj`3q8EUkL zq0|2TX-58!=Sk=8Evrz6V(1$f1Qd1gNk{V8udWE&@6}oV=t`E9my?4Q@-9qKPa#|X zt*fih2js%|w0oJVNbBZwJJR*f`Ea~*QPZs04fj~stn#mv*AVZQwYTTH_hD_ju%WxYvQG93|CH?FV6k``mACw2;b+DOUO#H- zNR9MVM#g>*AKQ8Rd;U|a6sD6B_CdLZLR52wX4EU=c4hC*H15L`)J{QNUkk?n@jT_X z_gq)VEPn+1!2!+OJIHlbgE-jzyh*@mADZ(NB z23p}=l*3WSX-Eh_9)SiWexCg>PNP9{UlTLEMrcjk=395|kc)A!t-5=9T8rda*Xnjj z3N1%Ff3PD)E?q)=W_(WDql6yJA~Md+A*?o+tYAx@juNb?8LRfEmL|PMukdKsXYtwh zXRdl(EC-~G`I92L`yiD>_a12M}|cQf%YXK657>7>ey5O0|~0Gxd4A zF<{lKDQIB@Mfs`4K2l5Hb~6LI-(r9M!+qP0tz{Ry>6ZOQ{PRczmdo4ze6xgY8-J$P zd#_r)d6Xs)FeyoNTFt!}Wu?*A^KyAON^DHmtAmneh!Od7n}Q^~Zb#4`L<5DsNBF#ff7s&!v^NrW%A%n2~T<(=bmm%MI1k z)R-X`Ux@|NR#l!I3*mar2f$rBG?#O&B(%ARsZ;}+_)HVo0cvNhba%g%5)uAN$$Fzh z4q*WwvdNYULL@+c2}a#e;WR3nUfAKGQTQ^4ql*A{DuU z?gUV5_GZsXgzzvla_?>~NN&98VEJ4##Ldh7`YvIfG4nR=X{f!^UoBHYKhr-wz}r))?0?;4#8)g{mIT` z;-jOZyUy{w898J$T3HvsrrUbjIbQO50D~e&we%PFxHw8!K&*Qmw9lbINo*?HIrH0X zs=j`GAApX`E2F8@f$r{WuQx)C8VrQIuECrf#JtJEvOw2^x&vT;_|qo}gZdx_Y?wx3 z@bO$yQWyje*3B|*ry)Ovz$-_V{m6-wk)r&P0wL)HP;Vbe_&tZ$rna_g4BFG=e0!oC zKV<50U*|ONSz4W#lpTGV8?!85z}6_OL)&$bAeXMT$@ZrEQ*r5@*t9Duitg5}w`p=| zWo6NX9ZAp0trq*)^m^YrtJnDN6LsgAkRyNsIs9NZ6dL@NB+MCaBQ4G0R*F(UzzU$A z?H+HkxMRAwN0*nMZ^CvH5m5JN>@hCJ&-C=@H-WULiFqGaU~SX|Gm(9IxlFv;bQ7As z_VTCK;R0qK*6!a2BRswmt{I$&aIE@6?fvoWg%KydtyY)`Q^Q?Ahv8hJcEcwXdW zUS9gF&L2UqT=bq?*jIo9<%UPrnz%NXJoM9#RlAwRW|nQTY1f~#phT(y3m0yIMsIuF zBVpmTBr7tXGgy}|U;iE6ET9c&L7}KK9Nve2!%QOW+h)Ta#ZRVku)_~AlLN0qCcm0IgwQOm|gf}@oBW8d4iZejQu4xsx_q2*FE zKsQFEqS|j~&NpyMSWAa_0&0y>v~uj;Bu{7#f4x}5B%jyqhP5%*7VW@`xVF9ZiCm79 zN-`ugnjJ8)$N-PU%OZ`lV*)#0VlXg>1x(+MkUw5+YwnwA&A*cUrqh0Q-}B$CD>B)V zy?xZ!(uO+=u9Devd5T@7lllJSmYLm}mgHG3%a0re{>r|B2DA9EqiP9IVKsZM=NlJ{ z@CbiRMK#*YE4+B|B6)o+#y5ewQF#}2WhdWsLJf9j)_#)p&}jB#d*Z9G?eheti@9d= z{Rd`0%s7lX@v*V73vA7SW1jjGYeHVKH>6}HQCi}VZ^!BLG^S>_bW;(Lq225goIov0 zCEf5R2`kcdeKMfc%$n5h&a>|q$=&eO$CqEDxd^4W{r2m=oPIOd(-*7Y;uWnbY?=RZQW9h>E03}MVucdvW5r#=T5=7m3Y`SN8hhe;exqYtv_56+9(St@Cwy9$*qcOgMBlb@&DsnjZD$cz?;N0N(Oxuyv z*45_qXLxNURQsUZReyIS0pDxBUM_ifIQn5jD7Oppu@B;_%1{ZEKcL!%7H7npXK7L* zIy4B!dWS@%#8%ec=)>Dpo0)J-y&fswrIwEPCf>zq-O)mXYDA^n^V2 zr>jVaw-)wnCL2P9q8}I!58pDoMK-+Uapk?6Tjt2_l1emx*mj~+j6%|$BK?SvoDekH@@dc2^JEfX;Yii-JCi`NI-Syug8RbXQjUT5Lr zQY`f785r`7S8gXrN1^9rAl>tCK!7Ln{(O2O7DRtvU!R`Wa&dIWdk*+ioMnmv=vjO& zB!>c|JKv3y>MpwZ@iBRYaFIA5SZ>p0M4VXQ>EQuC^6&D6hM{9lrRE+_$%>k@5@qia z;t+a2MoSVt5rwT053Q}aR2W`<(NYR-il9+RRm#|eR)E0I&Xw+*8lA`a)p&!Glo#n1 z^Vn=+_IZxMz&il)on-$9C+z>r2{{nAqN5-E?~Kqa?Wj(hT|AGl^KB;gUt=}gCaV-N zf_uM|^03iWO=@JWS@rw5FG&=ym0`8hYI^=~1c0E~uB7_(U-!z(8D)#|9)@!Feay6qOe?j%|W@fZNn77&CR;BdhCX!bkwNRnlZiXhkO-# zsp0~Q?pzcCICd4#D=922fCl0sA~ej*%%E3#NG+1&+pJMJI?~CH&Ux7-FcS0Hekrn9 zi_cd%tS7&Q_+xxhd;T`t`YA*cV^iJE@3<#4C~96_MbnAjfw3v7WtF#W=Oen!Cx(GK zM@+YS&H27mP>Ao2WYv~J7!G&>;+|?6py1wb1FF5eKI;oJE~1||zF;#Ze`%<+SpmhK zSCEHzlJe%cp;Bqnv!$8j6{L3er?M@^ja%Roj}42}ckUm>=*0*!?tD&O8mVy8^=Xcvv-;sc6>#SjH*9v(DJh4@EPRGg zYlVYRSFgGq!-0Y`_g*XZ;ny&}%=@&wY-}hzRGq2fWVSm&CwDhQ!g_PgHz4y$1aCg( zlLSixvylToUJ6-QQDp)}`#1s~3U)Mg*VDW#``PH}PEBuN4)4 zJWG`@HWu;U1j$F8?K(FwVXzEhG(0XNDBvrMoN7Zz1Dp90vY#%#_Q}f@)?i( z^Mtp1dVAuspC8@IsRt*$li-o->O@^6Kd+$C&|73y;^gLe0;UXynx-lLhwTeA_Cbu2 ztf^09KHRys1#t$+9?m$%|qP#@<+mm+XY9rXqO?;PUV;vBp_;Y zS+4)gPmyn>NI3l!7P{ZFNJ!4t5NCN+t!$4epkZdI^qMntjfDIo zw%|8)>#vD$+k=?cli7ayB7o1<+$aJ;{awHOwUSuLzRhL^Y&img#Q_h|wYA4xU9u7C z4bx9yF@{@Gc;`BeRJ#`W&5f5TVKwEmR57qzFq~n$jMoObiOR;u^T@p^N{|GV8vWDg zU)rYKbk}Mym|kiAq07$3%%2hxXw9*P5j^zD8ShQV9MIDNR|wz4|YAHL{EWTqY6961caWlEG8OmaV^X-Lc+& zMsV3c*{K54`P7+nceOX^`xSCoYC8uG@<`sz0j!X`H_EcB(f zYcr#H?Z%LUIO;9tN+k0Y(25&PT(B-^Y$g*)7YH5QZtW&jTYslp$G!BHlamu4AKzW7 z{^r?d%GQ9n0IOYeeqAB_6XZw6_op>YUd$ke%P>KK^n@)HbTO?Rqa6|7@}l1B67S7=6R>Pz|JEtPk*Z%BGI}W;^8q)LhyU;;m+C0~&YpY8 zDJda~{N6Kz#=Dya$;rvJK@5s75-5*)eTc;0ef2pz+u}vS5o*5O>`_v1?4ye6@4vpG zSF+MP%N8jH2p8VR*W1I}Thfda2%m<=c&3>6Q8Rmf^421kGqsvWDq3PPdAzBwUAlC? z=iF7@_E`Ch67{!lvkcpU9#{(1srPo?XswmGVum&h3e+@EWt-biS6-UkjaKpwLEDUA=;r?BVdr7+SZ5zC-^10p2pT)DPEXHR@z^xbJDBB@hF_gZJ=(GfJ3BL!|*SVk1#v zfxiPWzJSodppdNvdOsRBzEW8#U%g7lWj%c{Q>$sX*pD1B-IdD(H4od_46g8cN0MNd z!x0;Cib`!fDv!EH$i)G57?@l_JBDW_XEaB~iRE_iH)$~T4c*YA>jR4YKT z&3j#w>@0OcVL)rwXY3bjO|UXTfNpf^*N^8n*S#f=vj9oynVFi?!&d&4-bDPK6D8v5 z4EkZByocc5FF536cWHbpd-!1_*Oao@cKxeZ2d&aSxSA{eacF(np>!St-43(#7e0WE z1h@6ccjMPNMnh%1E^ekPVDiyFMiNKN;_}QAuu9J24a@=QTG%*+F;4 zHt1K7{qamRM}PkRB{(*lf8Ir$JFrj?CO~YrMS5D_p<<3)@ZYS?V(n zWqv!2S%D+AHK7S(J3d+J!Qr2kNe>PVtgWq8CGw&=5;Y27j0Tjd-hyVUR#C9juwXXj zQ0MNqwA$Cx#>LCcyu4twteEeg^xEmk*LxT@(+OWy_nevA>kQ|2xaTmt?!fC9z?w5LZA3>bj#1BBfP2oH%-8M%3d7|FE+4+w9 zSi*Q@fJ@pTepwDks9N|+n z?7k5gO4+Cx6xg=dPV6btq*KPkGG5c-igMsV>j}ntkJQppUZ}>3bP1wK#})34+0NHP z2bdp8S+4=1<02w-kBCTZI+6vn#ZP*>1X{Hg*xn)+IMCqh(Cds(PND;Wx2!RR9Wp1s z%F9oQ@U@U!x>N=l+0<~E%ih5*<-3Ou+3Wz6$W$!LCS8PdA^7T>rfV*2`Mn`r<|u+LgOP z5~wybwC~XDWCe~6U-8b^#Ed94(nq%m^P=s@sihL6Kp2Nn8GJkte^(UNv=IFTSI<%m zhW_ky!UZ1z@hnLp@J3e}D?nJiy?r7M4da5&BmO9wrY|4id^9JVdh(cK&I&mB_||w+ zf(=6dGRu9FWFQgTd(fq^Rlz&B^K|EVyhOxfaJWFa{jhYI3^+`%eo2wdYJ6T(46-+Y zGA>{S>KEex<%Mt}xMXtPIh@#?74JA?u@7-WHD3ZC7ek|JydwH<9dwiOkJAUo_Q9kwYe z+;BC)YVPj6Mm60p4>P}EEWt+FX_DLZ{d+3CL-8H;G#Tr^0|qV`xnj!{cJiFF@fZ9J6C|HbGh%6Z)=N&V-t z&dwk*r=1W0f2QNLuNT)MnFAoyqPnygQCU4GYL<4#qkzP^R{#A+!3M>Y*8asH_VbFh>O+TAR1u>CwJZ&1TsD#nPZ} znBRcbVwN2(S;tF-NO)YX>dDvRJWsIu=c}UwPnJ>e%=V%FTw5>vx2dRUYF3E}3hr3j zw$5i?o7{xvz^u7S(R=Xxk8+0frTrbeuj&a+i0vQaBTf16+^2NnKFAMi^*7ryLmxl>d@T*{8)~ ztw4ueJXMwuu4{y~>A!yAtK(o{F7)Q0tsMOWNAgHzWk?^D^$&s29<)R6sC?%TF4l@y z!;2*3Bi`Zu5VYfm2sNqc}|}D5XD7Li^(TJy_2uoix<7vuDquosTfiio}=E4}QokpyX_d zdPs13mXSzcHb*1>+;Jt{6*^jXzbU%^V3|iSel|C-NXf6hl9SB;|d0xpYU}SKc zuG1hO1vNQvsUnk${IIRrJpC&i6E}wPyZt#IjruXV-=Dv>1s0)aPv00=9H3q#bYmIQ z-~E(6CNNstg1Ajien+O##|I)XW*<0V<8U?;5fRmWZ&8=ewq=L?3lX3Zc;VWl2+1bT5*}cf4k^b-I0$GA6sTCBy_ zuComDry_8I?}B83>wA{}O;^5@jt|zqj|#S=>0$ zvFf@Vkl)N!+wVZpIRjhqFA)~J0kRQX>u5jli!o4|rKEi9`3&jFd~b-8H9JDz-tbsE zqP!@96H{P3WNS5PyRxdv#2A(KEK!Nb+2cxe+qdU>kVCApn(J)a*kGhrNq^_!c7a)M z5@+xR_bF#bhh5koFY~OK!PxlzEd4f_52++@)U#Zs?jRB%&`pL?th79Az|M4jdIV>J z;D4m`l>RE%GM>zhp&YmF4vTm?RDAHg$wL*ot>PFGy?0pB;}b!DlfO28xHkmeJ(dhL z*_h4Na6kv)UKkp{(qgM3Ba3l}c!+~DChlziPBLHW@jBymZDo0+;@Q*^gs7l%Qs_kq zm|gP@WfM2GuzU6lA0l2cfJD0qnC=Is8vTUomoBZ-)<7L#!YcGYtSDA`X%GR~*_ZRm z{~>Jy*f^H9x$PE-gPByKy%qJ$Mo51(H3bDRD38II>@RWPeYpKUQgMvH3S7#ZGXrEl zOk#I$j!D~RtKOmuVoK0yxlKfRM8KJtPHqfo%*Pn=(#5`-0^A$^St|LafsnI=+EUfk ztxFxS(`os^4!B4c*vCE}KU!5AB;xxF`$o*-z}Z>-^l4)8PSVT7}2{FjDi3|-EZ|@_;(c;sT849V-xqliwDKwLTASfu3M@(kI-dN-=cytg5sRLHK z?bxPu%7-N8C9|FF#{7NIJOEbHBK{>mLoqpE&T7%rfYgGHoDJ~iX14bx)E+rt zg+scYlRtp!Gh)8(Jt;e(*J=L{@-b(*oto@r?Ax)IWUG5zCBt&>suv(-Cz!SRxg0@l z$J}*{2Du&~L5MmF%vgK@N*b-Z)cZ5oO*qy8OChpgP5sP%IJH99hR zzuG&@p4~}++jRWvt3D3MQ ze8YLIE{M<%b|onyJUf}!3!6vbYR{iAiUA^>DCfO{wUg` z`j^N=q|XhYX8zyUND&`@fOjzwY14a;fL5gn2wEn3BJccf%%k!wqGW4`j~HTfiv&@! zX@(@53xdC`t>S&N24JmQ+q{amqA_F_ZtKZL;Qme@Bd!z z$)xcAkZZf4);7tIJe2qL?f&i>I+w>||Aje5fI=~+lCw3xAP-cA|DDPtD4?JRf`tr~ zS75Q^7t6%MbKUuTG=U89+`sbwceXAF57_@8Mlr6JpBZ#ma^Nr+e5W450*?7u_GBX> z&w}oD{g-cO5zG6Xw@ofk$`Q0*6twZYJl}eZ3p9$uKW!%A%Hx!Cn*x> z&F!H@cu;@8$~DK9;(>Bj*4patNB%)uOzMcw4ketpxUtbtfFOZ>S}IY*{sl4@#`M50 zgIPl|ca+Sx^(08epp{Q_z;B3B0Ma2#9-T#3ZR+>t+}$fxrW!*2JDQ|K>#FZkb`R{m zwmr0m^)wQd^?%_gRfzvdQ4k=kz72R=^Rh?>0}{{8u^v~r%vH%!HLs+lG$)TbKrW}j zb+^>a%nWn5A%s=57qvAeU7}o!h4dkjvA1}8czZ=`r;j0r$aT}n1`pw`)Ghi~VgSB| z?8l_R2{N%XJv9s!@{x%5f?{9!=?Gr0z`#J8dA6k)fF7!MLG}&EjuIr(IM_%^D>>yH z5I_!HRQxg$f}S9v)do;Yd#KZdx^+ulMX8@30jkdxGP35XA*Tf6=m+a_eVn5GA44*K<}!ueaa|Qe;fz5t z2cn7O@&^QrRD*`9dfLIU4(YylkYfL}MrLz}o82|upFo6}O73)}twM~I|2j8YV`yE8VhcQ)6`A^r)$^e^0I9Po*tXJdLS z#YAyfuqKk*BbO^<0UDHNxsjeaExGlJ%sgH zij1qY;4XdD7dZISmTGVVoRv7KVk~R(xu*6z0e7B$B%AyWXBA?Y6mq(CN%N zJLH(_1BKX7llDgA|6G7GNnPMt!l2^f!jF;j zB}GU?an}=fr5UL#4tlG%Pcy^GmTS)QJ((cH)P1hI0!gTl{0+8+J}1a>Rf3@l{#87o z`dvbut{k+W^`Dl`!J(y-zCA_hMbHL;t)d;g$|Tf11Ukd{BhXRQkPAwh&wlG-K;3%# zF0g@Q)S}`J9I9EOmnVD7S}gt_c5xY>gA4 zV^N?x1*zFZKX4`Gg-X7rsMrVNCnMtED zHeOYylJrICIzpHr_F1BTv$@ofQq(@Jsei-@{o_F_8D7z{64+H+RPW1ppfi1@WGL?- zzyHCfrzQ2lWAIm-^8;bWmsfjUiu&l>(xdTo2xoZX_x~7AKwDKDr;2NxJO+<)&8zk^z4nLKcl>WZ`uM-W6k{)Y`#c*~ zVrPJfQ00+TM4Czvuh?Flu+#qtu_0Po&v$3e3veu!xnQGD4c#U5&q9G%??cRg4n4PQ ztSXoB`;OSI@}pz^>|QiH*%VQ;6wLUvVGw=(M}~fow=gIMm=g3{LD52xwH3S-_^g+2 z_I!aRo4&p4J>Q-01=%|R4!7BkBnYeMepnR%p#csln2hTn(9R>AU8&h5`NCZhwzs_& zHU?yrh~1Vx=|vh9BjW`KiJ~FeU_TR_WcbN#2v}`vD_|v@-^vGmx-D7v3RW@yC!mO@ zj3GhvBKc+A#tqI|KXU9PAHqnrBd}ZRC30eN?VSgj>il)6X|-x9igHd7Y(Ehl9nY~N zq6Z`!W`N`>sI3^kRPVxk@WB_vBNG@0stdGTn`Q{|gltAFp3drT&6g(2Ai%5^F%$}h za+c1-hZddFXtf^lOc|A3!HWY0>DDc$2G^H=IW6SoSvd~y4b8F-{V9pzefsn%nto>K zwS8z*%xNtvWTm6ykLVG$Kb8%T$F*QDGU zeHa5GFnt?`cp|SQmTRNp#ue%IZsY8 zF@R$+wmLzVWuj-m*pG=$oM%+&p{ILau93F2)6rgKx_lhTzO+q1J2(4#F{1BnW!nb$ zfHEJ?|2=L4YDDT#o)jec-*o+Og$VzTH8=|OUz7~mKKf|vo7B(~sVvuYM&!?4SO`#VKnGnmA$;^rhWNlN@eKUHB zU=%?hUUl}u>C+kmLu51_&Z9+COH*SbV}4Wi&2Tn%apZ-4$=KxQ{rhG2vuqA*KxzI5 z_dNN{n->X!)t;@aj(RT+ApYSqJ$edYuk5*l+sn0=K$)~s;XaP#QJw5ozKTQ3 zAv(*B8w~f>+^+A+5ob_g(r55|>3!{X2W~wQdZj-4{w&f#Qe0fTB!rp2ZPVRdq$G;{ zJp38*DdNyHrkYj0x(8e#QJJp{&7N!Rv;EA}Tog4alPg8i-~Su&Q?ov3J#oW`+jgDC z`52O|MkVMT9Z-4{`5M%1;3>;9)G^$SY@bN_ifodMRM3Zoydsn*;jnLr&sjdx_i^=( z+TDL{eWn@N5iw1cFT9ZUri06FlQ@9dL1;oO5b|vps?`lfXV3H2ak9o|8Z|R&NuWYy z6QtKh#hI>Lx+E%ZW%X~y)hTCrtjGr5(RiVky(El1OtX{;`z9sjgx~m427vjh_iC5}KpD?XGq&$8>8SecD=ojI@5QbdG+6IW+i2VFJA3C5n5@FCEN@X=8r zDv3S+D)Hde#XgtqnHsX`Ej8-FS;0@yOSshR?1Am=&meA65uR_hlKf>O17mdr5SMR4z`G%Vj+8 zv`<+-gA~t;HxL&S`<=xkAbZT@h02 zt!uZ2Fb@Y{9ru4N&RfW$jVvq}%+fR$(aEJPznNmRXI`n7*bQQQg>?_Y9W44NyD_SB zS7{#sxF(zJCG$Oa51QIf{klILsAXu>J^tNQK*yujxyeN$7y=H_hhQ>+$;h32R9ko;)=k9+9B5q5~2s*Vy| z0pJ$zv(~WsLn*}8VvYrw5M^vk^C&@z$v-sow^1p>_>y;+^>&;TB$?@o_u&N7N?&Qz zt8~F9$5{ZtiLbSSESykj+V&OLoxK@`L-Lh7;oRAT|HeDrwGlksYpAY zO^B$ic%5xe8T!=ps(@u=t=ZUup-E7&D1;R$e4Rt*Ud@FC3^WukWkR{2q4)DK+47YeivwZ0ZSgBzJGfZ}Yek7; ze3{Vj>4H#Fr3d>VTOAZsj_h|FhJL{xShkaJ7ILkPD535PEatTAnxOh+WMlvv_2l%- zjCq070qArW;zNy{C9f3UbR^e>K6h#@G*aocnEp~ys_wSguxnztGvpM?8=N{Y^wp^J zV11#B%o+URmA-t1-y)AaYptZKvkY9F8Z1d`goC+FQ z!li^`A1ra=+I{g3g*iyR=7nCqq0qM1(Wg&iT_&>e_#H?)GOxt;FbtOMr+OHt8|JBh zaB*X7v)}Yc)iB{rC5Z-zN=Rr7|9boP>ZWta4=+^hvWn9_dm!y|wM{%T8@o@Q?|l`) z2ZT6Z<-;h5pS<5*bJD7xl=QvXQ3{qgB$sAi^+Bkyh*qvT$#g>4)?mA9rfo!G-3~~GN-Eyx@K^gM5q`7^o02;0E91;N%N2Mb{B|4yyg4IJOVD>No7U#}#P1F|^br@h zL92tGtR#apD~4{ESTIOcox3U#bc=Tlg%s>e8~Ozs-NVCUqP1#G-Y_7Ul9I9|{*_%* zMCq^Shi)MKuvt+2yG8w!gpM~urAGBfq6(1Fbi1O-3oRFawY0Rf`$dYukiEIrKqMn8 zyHwD*7l6(w2PmTqfyX2!CIX7UCZf&_^uMVE+}*f-b-d_aOo>PaAq@2b+PS3RI*H->R0IMfiJ=fb;p zE|MhT;~`g|ej&!cy#Av+e~keBfgkrD+HZVkvL=sAB|eLy;$j<6Z@De!37O32?;#Bb z&|?Ukc6JLkKNJN}WC1}z^!D9GDc)04yB+1Yb7!e&?E;)gj`yKHEVmO`K{|1KT;m#( zas%|Y<&~AP{{C=?myC?ce1xSGY}FGI5<;Uu9IOg*{xm*rXvMI38yXuWNhT8gKYhBV zF-{3QLJV3VrFc-RT$(ZtG1oFHcEi}j#D-!jklF|irFHlA%A`QpQrPAPDD+Q$s@|u4kt_l~w7j~? za#UuQ>P}jcKi$G$aTt(&)5U&nD(OgxQpbI^)dN9&ApPreU3h|mf3K70tTeI(#vTTPyy; zQPgiWmYC1_lkLVVGn^KTmx}oP0r$qUJg3L7H%s<67401y z`19vVITZ&X&}Pt56!>O1L@bYDGNYK;-?V>)wfsoPj28K2YyMrzOPBJQj^SP{>jL;N z=)yOFv(-J?QRxX}ME78mcUORcYqNJ(kUwkO)}%p|lY%LhOc34wGDdJ!;&?ALI~AAcPF6a5e#=rY)D za>Nx)A04}@sGmM0ycw_v#M!twII(I~p1#~IZMSaTbVlEh@!Cu17T|t~{4Q(TxLLlC znAka(b70bZ)9?N{61m_@!dnferI&iCzza2>X{D?of_?$>b=`sFs6Xb19nT&VK+H0D zI7=LAztZE1`CO;>ixdUTP>v#*I58*`z8QDv_LP=Q_3Dq&a6t`Gf-2-`W{D)cmVfe0 z)Zs^k;7%^}TEcMx9KyT9sRpng&G_oi+zX(R{O9c1Tac8ksX5YB7qwo`A`Wl)>hPjc z;XrHaWoO8)Jk8XSl!c=|z!(2yYD-@r6KDWW!5X!Xgi7JGpl9}jB3PYGN@Fpfexi`2 z;}_#Yw^WQIg^Oq~9m*VBIfCyJ(q>qP0?qjCrIKAnhn@8ika=-P`3QxDg%P&v)Azx5 zWX(pc)-&n0f4@{$S2xoKN8Jh8bS}cE_y!ADwB9P7teCs#F;Ec!tuzFlNCHb+)6jqe zsb4TP63dJ4TFgFURLc96rQ2rOUIH-#IDJV`FNi*)*r0oOB^0^G4mbq?H#`>x0=luU z3N7v76Md$6dI|xXXK!zhB^&SDIkg%elGyn8Q^u1GL~vrd8l(lC{yb*bm!so#0p`|xBd(sF-tQm=an!*+OrW|yi@I~fN5vuS zb6gzx4e(SR6HCj<>6RGzYx7H5aI!m`&&D6R?b<$ah}C5D5k&Zf;9e8L`C>rsHWG=f zEZ4pFU?@IIlz{`usp;Cyq}4toNiCcHbx^W2kU@d_Y)>)Om!Wx{K_N?ZWwa{Ga3HkA zVfQjAY16N_nA`B;On$>ZU*SmR-M65Ivf8X_^yV1A?%I0*IhD3PK7$DLqxoCc8hSLl z^8aW@Iam&nx2M4aaLQfJCq7TQ1`?j=kfElg5OlAtsVFD(LAvR_+@%Y5t2*A*X_9rvt(n2^q~Pn6dG{_S~3HvUh#y6_HiNxCgwGSh(9Zd0E_zx$JJAv{b4 zj>clDwtN!;_2=T{%kPSd`4RAuVkN+rQ7#UJo21Ee0GGYDGnba7*X0A5fCM8eGc)zt zPq)IkOx^*!j)f|xaijl`;tP)eL6bQ?Qp;F6(7s4b(+K^B=C7U z9muTqwoG8AqXTWwm@7&k(00?{`fg2?4jYTrqS6OEGO3x?IQZoRP`6I{T>;v{ZWl;& z`f?c1GYj&YaGXS|hmno#^V(FicCVw|E`0ixCf=o3AT^h-TuIN(o$AfjlaEApn(qt_ z4sPx4%EH({3_9)_z~h%(yuBM`+qfSeuD--^{>D$Ky0@37#=s~F3$;2?KT|U#zh`c2 z{1qOSU~OwF5c^!_p4gOhwT5NrbX_U|?eP zZ}5S%3h9E7MA?MVxw-nf0P3^n&fVtW358CmX(ItPJ`t-HPK>Z`JhY@|-=DmVmkevo zF;G;>NxH*Cq^C257^JF27+*-cLam)$YMD|KVF5S<61hw{{9ajNDd?4 zAvWKT%s?eWLlg#0qI~8gdGUww3yX`3I3zrunboWR#EBEYtstA`0}E%eO;D-Lfw!PdK3KR z*1eD;1;6wpA@drR3cB|P$R)LA>B>TPs;5gUdN5Stz?wA&tBD@apr3tv4CnC~6oa7M zwj{|h0jh(?|5$$~o@$OtP_OY>pY8BcF1AgF(@1YRer!CM!q0yNX-@QDfoGC6nI^gy z!qdd~a&mI$Sp;kj`QVVu6ukObGcg)%N*ym&ABO$Ss3BRms8<8W>}15RUB{pDOpTBzT{ zVvAgq1n~;tdhY5dY!EbxDB7M3>(4WBiH)TQWz&5iBJvO11%!TYmIvpMeSq0iQ(RPi zb@c~nf$jIc0y{JgeK2>ohh6YQL_`pf=zRy>o#l1;Y0wPTzmvHh^*5p8{&p##z=feQOEsR+o{_-pqAj)Ne`5VzwV*XHIX(qew1K6nL*tm)|q@w`eGZ)Kiu zziqmMza{VCT*D1gqalyhZhe#-p2oI1%LwNkhWzhUAMUjA)mzTq6Q2!WF z``7CpyU={-{Z_R4n+{rjNU*Z42T-s?Vw}p%Er<{IW!(hZ@u6ta zLQoi)t(R57kE@4=W{7xQV?eXASH7hD%dll(tdG|RHy=Y#is07TjS5x?6XN%_&^@zS+xS|=Y}tOi12xoUE?UU+(xB_Xfw4 zd{fOAsY-QZPJ3lw+dR(;MkT{^GTxk*hf>fzS)~7XKMI&+@F*Ps7B^-)Q^ZwOZ$|J~ zuvpOhxygKcbav1QHt*Pu&5Md^kiRS=YrQaT;Fy9ZDNq(d48 zR9Z?phVCBe24M)v0R|X`d=AF%iT~%}1ut~CbMCqO?7i07aofV_k)S@2dtD2d4DibW zO5A^*t=q`|wyVk}iQnq0LaG>;>2(gqFkLK#;Ep>OL4|-qYY=E}%DzcN#(I~NGXl7n zBCAP$<~QG3ew(J!pYWaX^nViM%EgNpH><^gLU-=%s+}xqz@#A8t&5I0Y=pTTz6SdPY(}J6yQ??V~ z0T$m1GFbpndNnkXjplhfj zoY~mf*&n`Q-TC!^i3tO~>72Lhqh~?kd5bBpvAGE+#XpA@+5WFZG*Wvrn4?Y~Kt{^U z%V+b!9Oq{Wm`yrZFlf({1VAXk7z}1XIB$SCB~=y(;9&vwNL4%^EeU=)<%!$!sw4mC z7B33EgU6W2ZzW@HZtlMU+Cl_{gt(p8)k!xVsGSoH5MD&$*mY#kKkS*n?Y@OVf$4fR zt^5Vc8kzruo~qZN`1<^e5%}I4tOJ?_2=72$<9o_|b8vfSrwNG+2hhyGz#!5n3H~GNEA2ah13l%OE*Sv4s=$!gp#mCIIjyGz0Y>`(a#V*% zNoD0*V86NTg#PTY+XzL7R9gSgy}#SkS!us`4a`_rnr{tG$m|xNAO;HuwkZkPYyd~R z97@Ia6~HgRg_3NugFo&PXtcs z_o?XM`DvKMO2NXXKMgHEn1I7u2G?YKLA83a9nguQqbP2G}ZZTpq1v4sfF)2kC=roX#Y^` z(7^jvNiJYV*9_AQ7v#Q$~{M?_Sj3@F;70Nsf?)sA4SV$;y}-v$3|XFWD?^YFlc z)Dpz`SkS6Q+qEo~CA5q5UU*DZPFkRdld^KCf_#yfuoNQ=aeY@JzKMDbQ*z5|{M0bo zc42glFX%?fL3PS6_rakHg!EgJO@6Lbh=H^>@)JYb>FRSAGsE^_;tpIl%}3BT7WUY64h%N6Ev@!u|AKnkKYlCnEE;s}3zgfnkE`61^R5+Q6M@Uq zzLca(+hQ4YvzhZcZcftx71coX=X6Tfe*EBpA9ltg+@}5{_NI;|XP$$DWgf3iWyh>X zIJfH|x3;!yk$Eo_5QNSza{hDL{O^lG0Kd`XxACtv;;!G#4Yv5=2{c~@g(u1~%xST> zk`C;B9&pv)ny+#}6yO+HaX+#huqRu8&=S z9`h|>bJCh>MQ*K;z){GPxy&#F?i_`e;+qSv86lxNx@*^JlQRo+GJ*-FSh?p~gQ-Pr?xD-b%%7s*t=T-lcJ%UvToZpdADe|cr_mNzGSWQ|4t8^hUc~RB z8|J%5-^bmJ94W@onG`7*8S_l2%$>(A19q^@#6?NhOKh`eVefor4dz<{u|4d+4a#2l zPlhxyOA}BZJ%yyM>~hl6PktUgI*pN@RS$iFM{mi|KDQo36bai@Jo27xKT#7$en`LL z-ZS3Wq+`IFuNa*YI&~#9B;zQV_JBZo=|CjdCG|clH-9&5Ic*+dzfZMfOmJ;d)8qh} zI?7x-eXV}bF}1|kV*4erwQh=PO!7E|ZHmCs`h7u$rGn84UID1oC{?nMQ&a+v$&z5j z6g`L&9ufhHh-Z%vT`cui1xZ>2?uJ~g&s(04LDZ{2tgw|1BEiSLO)Fb-tT!&D&J8~t z#{JxjT|k;NBfU4~{lb^h!@n!MkelDL!yGK4Yk3QmQp7e^Z`$wQg17fIGu_=S7=0o4 zYHnD;dm*kKyJbFT-b1rPRmhvu7PLXQB4q7V-d-yTyGqV34P>Rw0ltgPeNba#e~Al| z#NO8?7HgM9;~bpkQJeYk{7%eFuaYZG{vd(KNsahFNu-YH8Ue>EM#<~H`hRQ$YI6*m zw)E(`GK^LyXQxhqIcij1zm2(evderJ+aY~_-heWnvW;aWXrGXC)KgBUv&lE~4n_wtNd z%6AneI&l58wb_TARENmf)}=@`v^xj;WeoRsGmW-zS_z;VmzD2AwEOZY{Z)lNRDl%`sr)&AzZ~N>h_%lx= zEA?z#ET1SI#nxL!svC)I4Q9a*L3EmBVUg*e*gloQDuYhM<5VM}Ul0sx(*LQJdp zqhxa<9UdCYpe8;45iPQqg5G^oS#uw&mo?DagUxlBbU&`~58^Nle;{pDWOP$VX!`*S{kTsjG|Tl%4KM3*%h;ZcDfcqtZPCRL)3pR$%ggrBE@NL|>RRzU=`n;*HJY~yzaFsm zTpx0ASqN6k%@9vZ)*WPe6!qqG&QjDl5*##h1Zid+f^m8+u5qfTLAv|+svvdi)Xd(a zC~?&5on~^}O|M0v`s=12GrqA5>;9_+sG=O5|8($n&%o1{vFcXRi+t`Ij=5@yWGQ_v zCn2+m^+XDB7l%03TC~x3%Tqso{+`cQILzMplWdXa&Z+%jLfgapJZT>JG~y-eVn~l# zLK5ct4E}tCecb6W?f9vv*arv&<^GH({>b6}KL1S8pzn^z$NQ-@&-Rr4ibeL_pWXU$ zvuFVceK{QECuqAW6T9(@5z0l;(EIpEgF7rWe97~*2*+y|d5$UkJLM&rfzmhm2~wDZ z!~&1qHpOU95p1Fdt=Kyy#=UQQ;<;R`Sg`1Bj=Ikd7^;=aqwAg`E__G6uSz^U#djvs zdkcPU(6_`9on;yr2}ogG#cDS~W-Gqi&2q(hkC0f%5`_im8SYLEuZ!R8+xtNM`q4^{ zML<_jh3b<*2yE}%Q`|*PyVPk!X!NFWyT~-p2+H(m!}`cFOALJptJjED>vq3_m;Aa}YzW0^lrY99zQh#Rc167&q4z89xn zvu5aDejXVhtsi6jC=n9u{pLHyue3jYk@n>#w$Qo2!-Eg=+A*3qWL#;dfp~<9eu?|V z?;(t-2vDripD?YBl*RJEnw3_oAl#Xs$k~{MN-U9&g}f`S;|VZn1>JeUVjO2zoE8mj zV`$p&e9vIUvq%4)qwPnTu9N zRqyf?`ihy8s)d%AF>1-y2LqL!k#a}Yq!T2`ebskK6w6J$RBxCyb={MXKQV?|PWnA> zn^)%K7`3@y!u9ifnPb$>3DJ{5Q1XISe8qgjrLc@Ki$&a7vQ}zKXS~=H ztHslGkRfkKlXlB(uFdM^(7sDwcfnvC;?4}4)I;EplTx%5QezEG5w<9?s81^2%S-ju z^eN;6dVadPUaFlKL7lL(aSHJKfHqxx$Tku0CHG{^&6)lxYM4uW2Sr66B%IOvi}M(< zD5p`Aa2V6gS*Jj#IlQC4Z7i-!b%Kw#$sTrx%`om1nE@v`k*6S8+eYEiV4|cu62hSHqP{-R~z;YsEJSAuLeBp8>rF80kF?DKL}84SB32CU>5NVN5X5`t46+#=o%{?#wYU=3 z>fy-GZAB3N-r22+1_lS;kocM{E(eZ~oxtpnTtn^)eOYGj|C&jtO16|-W1CR#eAym+ z({rN5EZGvON+D7?o1}<%Idq{{npeiaZhhKVs#hH*?(wFng5~k`5j3QUgL?n_(XW@v z$|~r!Q>~HR&yHM7OGu>Gs@HF-6e;{yCKV}DJ*$e^*M0858|o1p)F-FzM3MTrWA|c) zg6(}j%ls-^wiICAQ_1U<6!0fM{7l7G6|bh(pD)Aood_PWwNeWEtc}UU zVOoviG+%8cCCyEV!E4WPU(`gq$ch-bAThwuGX1g~4u4tsM1|ofPL3`-V|Yt3R3q{@ zM`|C;U7U`kd(E7(_j(=x%(OWAhKZ&SQZ)aU-QKTTpUD=@cnw4`6_-^?qMKoh*X!-! zE}HIJb^%=!#Ac(WqHa8s3X%&4iDfdvTkUnWJ-x*1l#~3h^j%@LE)|P)q0<|J?O7b| z+seJSLUimRh6($AAc{N=Vfho@{;$&_N7rI6{=|rroX0xv>ozH3T}QsoDULWVVbqyO zi-nVnu{!n1D<+Os?$ZqBU7JMJ1Pin^2(Eb8WcYgckT-U}UcPW?ZQJ(HqOi!nW zZAIj-ic2Y>^J=M_v1rlOvV;3z0}rw#jC6B#qF9Oq;_F2hQkG5i$^;kT7=ZgMXmP?O z&+%+oqGC6c*F!y0&UBj?pn>u)GTY+IT9`7^Z3^c#BhcE3|aZ$shIgOF~+! zwVofLmchh>(q_@Z(Yhca9s%ofWgTd~(p_ z$D5-{=0h7GVcU@!P80`5Y)}Uxf*HvRBppPK8B%M;2>>eYfUp#mm;OXQwow_nw*jZ! zkx|h-HDp&IvzpIndt>MFk{Uj0yaaTXBR_O+xsF9BE!Hegx{)5YXK$zyX} zCvo)iXC2)oVsAKEbKM+#MRxpjgR`wiPu8{NjTc3K%zW5Bq|Z*kW#;T;0TJi(!{ONG z#5&e`90>wtB|>n=3|U??Q$rA!R)|4SrFx{G{0L&UA8GIoI?EC{JiNXhZRTP4n$=-+ zy=9;&dD%kk?k_n_rf*ts8f&$3*NGF|prGEJiBXh|?VJqnt9@rjO5yN5kJF9MZ~BG< z(KBmuY~fKWlVT@keB=e%sBq+w5rRhYSCwo_%LB!##Q7GIarQ4srO+j3-cK}2bpdD{Ff zi2Ej0YTeJ)%9wzyt3fTjonf>B!QX+x0C8Mm4rnSI_+q}j%fR6SB81Lr^jkn(0aA?r zvL*Bl&SYdmCTtV>aQ|x1!dAi~=2_Mrtl9dj3iphna!%y-37y#O=Re0E0a6g7D@piB zt0nAe;cLcW(;9RQf9z6-sR~yu#y6qy$p-fgnrro4RoSi#&|8~s@;(=OyZW&ZEU`*5 zu*@j&LQ<}6Gr#MES{8|K9E~xN810~{rv}0nc&h8-p(QZ76wIS%ueBMx58#>RozEyU zO#lr;fdDmT$MC+4ux}vWYsE5E<()`u&G5qP`@)3Ah94tz>%>6~N2U{w``Dv|nN3|} zUOX&Cu3exP)@ z*l4@b4D-PEmH^(*dN#R!@n^}&k@A}L2pT>$V~kYUjBgVXej{_IiM@~y2$;+>;?L^D zgw51*UWZM%$2zx-f58(b3Akv>_b`l+iG#DwMOX}Hc3t>}-_OnYj&k2dywZX zKmc6_icALi=Dqx}$ua=8Xo-!3&jNSnMH|{}L{fDtU)AEg)&=i0eTgV>t*XM?Qf(*L zHPxZE$PGAp(>@$880&VVQk!hypEHrq+T(`7RiA@D^VDYWp#bJh_7K^?|>Ca z?k;BKA3yGGo#j~6Bu6zCC`2k#wDy7mx|E->c7QwZJQEAsFF(H!pneOZ{i2UGA7QYD zhY+L=1OF)ja6JC|dn^tsnykV68>qPJ9>0XF#U|@%W9uYaYI(oSw*l;JyVyl~jkL>M z&4UVB%eCW`lMcpo+I zqsZ;bk-k~MqAVu^nREGS{Fv%;-2$`AzCS*COCLeTG*$M>bLuea2^g=WAUW;ZPl5~i zl>q>vigik_%Hok{xzjquN~l6G<+x*PSN4nyJGs2{V*jXDYpjpTqC3P7bx}aNOs_sN zInCmkCfC{Oo}}@K!+U_guGV|Pe{`t7y%oiMr$c!3ap&xXWp$TdtfExW_l~=q0LN*H zP^F8fB)+5<(r7A&*w@0i7**=ZJ=2^!SjfneR+~|t=wu(1BVL3PrPEWBMUr&jc&Z0$ zQ#4fRc17cNMsL*A#Q)xMFQY@ty#wH=*y%p7A}< z{Zucjd52wJcF(?G#TyB=>g*_B!+AEkQ`KYm7IlJuWCu~RS*U(?3*7-S_|&y`PfZxW z1Oe@Eh4j%DJ?{13K-r`(4C}}BvZcfx`4H-T8l&cvG(q7z`V*5J;zN6A$K{h*o4QFD zZgSSMWGd-^`X%pbVKNyAH2RNK>WD#a9aA2 zN*}rHDJPt34t4TZ&^NLhbFP*}r;h#0(DLa$4OrH4a|a zCN&1LYi@hfiV!uFqi*u%#_tp1x~<`m?likBUov^EaD*&@=$V9;+Rs+1 z0@iU@Q182C+-#WQk_|~C2stqli9e%Tc^5UR_>8I?-t{mdY^r8!+*r}did<9I}>6O{^>ZiRNJ?2$IjCd!0O_>DG^aaFBf7SF7eSYHul z)Ti_Yqn5aN@3)gVn)?6bBait-mX$80elC5V-!3}iI|*4RdvR75Aq_@%<^r4ZK>G`n zeS7onGPN_x<(OCaM!-*{;zz)DiKvyaTEOt}#@z3I1d7x^A3c1ZF7{Cr4ptTExVF4I zi`L3zojJiGN`Edce><0_PG>x#-7H`@yHFB9J@VkZ9~myAYhOQiE@;tKsNaP9tvthF zb~Fc9U86e$ovOFlXGyS(xfl20*t5Gh>v1>1=*kb0K(96amD_8ooWHJ9=R!QDF6x<; z0!|gzIzpTi59Lvjbw+f(sQef^s#GDC`-!~3P-uSyWBVuqCrsNgelI^w;T*E~9ciT$ zszg2x7O-PDX26Ub+CvV7`t7a~AG*JEPr}3%fOji>E{r=5RNqGvjS$+Bxrw9)OD;BH zDK!x&kNTJ+kf?`<{V8Iz|64)4kmHDw(!4ps9Q@wRnabl%p|%T28p)EtN2ciHkvrHNL>JEr^E4d1rowYjQ8@I=XDH@m#C$d z(d9~c`nu;(p528Niud15cth!)G&daes&JGAZginGu8E9eY%{}BBr{%0NvEy3o zBNK)+Qys)bya&PQz54Ui|FvPtSd0ZnQ=m*29=+i`!g6sz{0^uCqaP_pgwL4vO52n! z%@0##vd^@TF-|(FS|qmCne1(iq?dB+{m$`#FJ|n3dZFkPOA9Y{y?vzc zVX!!pkQz%1ZNYkTVtuV$>OVFr| zWi)9t-6A+K`mw5@#AL7tlY|Wv8iY zC8s|$E+Tc)o>rC4!P=Zu-XLZ3)BcdLP$c_tlCf{Hf`=^th`;rOfcDC2Q}v9Rox2{%!KFZrD-L1A^yb zjx&T+#s@Ki%ArydZ=5<6E5%*-!hDjR&rUiOs6>JM7molP<4?Ieg`+1Gf?5;(WB^{5 z)6~8gpnaZe!%vqsMaVMl&5h~kp7fJy`OjVYf_MKWCmu6th4%vT5feZIz=HhmSxR!c|<3^=dd_M8VE*xzulGnx41n4?j#}ke#eT0(f`WA_Cm4!$6+J zSUvIlEQ;^L+s4Hd%F~t{R?W2;fP%KTCM@KHckJds=3i~?7bq+DrO{*!XPe;d&kqDD z4UeC!`7Gof*)%%~<4Z-EDJEtk8`tjN-K7bw8Hk-WU04hQ=$^dZvZ1Rf`Qe+v%$J4p zOYdX+AX>)?hC-uZ68GYh68dYTaF&G?8~Xn}&^!4sTYClz2)a{>npR7^_#bJ~-r+CE zn@n|sYvkXJN@lm^p3j-do_<-#P5pl6I)OZT_mc+*KYwgbg3h5o0^s)L?h_B<<#}eUxXBA7`+9gMe~{1W~9*^-REoxuT?eXW^f=W`(mP# zo49Sf0jM#Ygfz5uMYX+|g8b*{AK^fmI-QtQA~uwx7<5WYU3@ZWkZ>B!F(;Yx^@in{ zGsWx;SZFSn-ERDMAK;>msz>N22Vy<4mo|77_-U1`~={ZoK7u0>hR% zAvZ9ZN>!Djgw2HmAll=s$-V@Wbx5QxPbHinuS&5`D-=putH&p8x7Q8kiP`%1Imsxs zaUI=sE}OolGS-)v1JW4rFkN6gOzX;)haY#z1f&lTGcIutd?Qmf!=RQV& z>iaq|vZbZt&DvCP7n=D!GCn(&*b|qhfUDV+Ru~O5g;w4vZwJ@-fr%R+D#$m_2;FjV zl39z`0RwY>jTEc;JE3gi-XOR{CwKZnGHUqT?n&rb`RnLffCFmSH80PbuNo#qDjNw@ z#k0;}P9BN_;|>epL*=}WNLMe(8IQSi=cwfnKfg9%J)suuAeXx7{ zAd_SA*=Y^`O7}Ix_O2!oY1}4wGsu?qaPc`}Qu~ThuW_R%;$Ju38kIdo&cNE==$zQm zclcf3^y80 zvP(6S`?Dhw^sx7*31S=ycKD7#BfE&O8+)@y#aulJ$i~AIHIH)KsRe-HTKpS6JmE8-x4XVqS zjjy4uRYG0p#x}}VpU*uW7V2401NkW&j%hkpFNzG&@c5)BuhvC*p=&X(L z4<;75#r^V;5JXO(S%LLUuhN3$Uhr|dyL@p~;Vu<|GZ_3teO}cWuCwV0_0RS$`^#yQ zgWpm{FSmQtIlQ9ik1Z0nHeQIcc-IwoZ>F;B@+;>Nk^K|n>e@Y~m$z+rLLuoooM`s3 zUY{i=Tc>Pyy`8PFdv{`^F^9+Sp73u|p;k~MeaWmt@cma!D&5D^Eh_0R(1lGM?YT3* zn&O(yc}If2Ze?WdP$Zrwn+EE@?vd3n4Sa{X%j5~&J zK?kz;MIbODtegg+4WQ#JWHW%l%VhZ z*+%{_sf%{q($#JEdL|0zQA(U;CCLf?K-zI$iL6GrZQeC@B6NK+tZDw1F1*^OipjZu zQeBJdn~jGq9Sk4Lei^Mlf&XertKpn?AEd>c&RExA8lKRdx;_k7NN(-f#%j`>6*W$e z*Knkys#)@Eu-DhBS>TDKl;uqz5f8VAqvMiplaN%01rX}Ax4{B%*8NgsHsgA*c5}-y z>HyHZEG>6S_-zzxIS?CnEy!OYRp&f$J+^d7g29nCFd`pB38RfTXM~s)gWLvq<1)Bo ziqNbS#r!7U_`Qi*k)3`y{~GSr*IvM$Jx>?DI|Pk`1B~i+!Hl(Nc=B3M(w}UM&d*$c zyRMxk^_l&yt-cxQV8nTP!bJBQL$S1ga!(3=OA2XmTKktvvPc$V7iE5DepSg4XYnlI zieQYc&u<$qd>wmbvn;$YP_51RfKr5o)a-RqI<=c}))c zwRng*7?VbSUwc93WgYh62$2xAu5tN+A$e^4biXeAc%Iw&fw7XJwv?fji+QTEboGOq z96eb^-^qE}93LRQf1tgpamn>{8?>|aG~|`bVWEk|s2 z>337}vWJ1y8_az@dD>3a`%CI{n_=a=TP`IB9y6vNV4aW_lZ8Rnj!z9#$8_HpPIK0Z zNY*;Q-LmsqLK;Dp+ zcF0uvUf+7up~7QtXII?by1hOd9y_r}PFjLdyoGz-%3DDGIET zPZ2&2GL>hyw@;?Gqm*gZEpu&LBV%IJzHjI=kV-LHQH``td|Rpzjg5^d;Sh`2O}@ym zhC`u^a7h0|8Ijo5MnVr$)z0@lV-%!HYN{ zP*6};59SBGQr8-$<7JagND9BMPdX<?@ijIKf^aowzpF~I$0mhEvY_@OP{S0a%2rR%e}GPUT}XWNXAU9o{VJwN|uGh zZ19KxFq_e3^g>+kRT>Vq_SPAH-B5g2mlv`%+Upv$un@bF3b<3jl9MRT(hxzUnfp;& zm%c~+nX&E#-)jE)`zL*GXruarz@{W~&5sHT$wTMx&xs zT7L37ZQGYa8~5*T9@}3R7oCa;GY})6swk~_Klf?$Kho4jTH0r()bsMMJs-{%hCYDg zMqF0dYthHkvgi&-B#n!`?Z6s-SjT?WVRDxtt`A?pDKk5LH)>Cqyj@nN3RRYK-(-P1 z-2>b+{J?30-9I$7D_H=YrSj>}WE}wvPayp07PSS7zoU&`R_<*FRjXwXGrt2HmKF1& zVe$Ra<}l>=$3xuY%KF=mk=*}%e~;a)-eG&+1`!B}ZQte6Ss`5^X*ijt{(*wGikvnZ z^M|9o8(}8aB0VF`lp*v($y}n%7bs@9F5z#12v*Ky*#BTE&WK~TNDx_>S`q0|6HVe@ zR`-#GJhFQ(Y{u&M)ekGYZMR-fiPwA4!zLv0wtlebtn6$_hv0rOIm^+ywAJaIl*gi4 zGg#qUm*m$*3G}Br>ZU|CWmT=kI|?nF?PW)o_)^j`QGX{PL8kv0wSDMBQgrjQ%1Hmx z@GRxtu%uU|9{Vcv3B4Kjp}gi4=0>=u$fqXMgFh>h z)2m4U;W0B^$fq!XMN~`Rz8K#pw*IT&ft#TX68#AhZ*4Gz{u(6n$tS#pGz&}o*TcV5 z`sbB=3sj|I4?~3?7PbMNkP>=aRL;FMkDScjnCoavbE^@ngrxL2TLyODE&2KSmN_!g zl6yz?0BUl}sTNK-B=j-6IiY9FHh$`>a^}qF)rP#;*4P9+IcI~b6)xE(s^qI{*BbUe z$Y~B^sz28iweS2QrS!=!Bi&xPyspsMINKcA_KuF&jNG&Bp!k{$#SzNb+L}}{&UO}~ zmHtut)|zv>{aW`~bLR}O5{B=^+*>^hRhLHWm!HgY&D43{{n?TU+csPxjX&H7l7Glp z;d6P-<@P$dHGf*O_<_(ndUBhG62Sa|D;H?6 z5HGPU4@)>Cme42Fk9OmWSIpIe-Q%~x(2-J`r*@Rm4&f-2ITEf{V6eS;M+HIPRUlVW z!j`}0rj?AsX(%n+iP_odl}DC~+^p(h4v|VZdP}!o&YyQ+$ojM{1y6*(l6smxRnh9~ zLs~)z?SQWudNsUJ|8tXRdi(9$>QyKDq0o*FHvO*mPQ&GhDhCyY_b0twBy=zF8)mzQ z^9r8AyW#={N-%6;W){%iBPc;aOqS6yrv9=;QCU%@9zyE>dBTij{)`0BhC0)B8Y?LC zhhqadA8cNr8g^ce9eH|O^Y}FHgw`_OZQuU|v42-#J~6?>FxJ@QEm`OI^Pzp)JbwR> zXD}VMhiKFQ^KB)%K4)X6rztTOU2Lpng2wVkDVEsbAm0xMm0SA}v8C6y zja4iOY#b!M0@tW-{>q`vWKb)H2Skn0CiQ%h@JPIc z#f#j#Na3kN1H6QN6bX`QI!CnmO*0d<|j#e_ZwvvRch1{?ytnq$6F?4 z8%-BstYA@5gBQAmClm@EXMN6|*jCUiHRA}EkALp|>H=ECmIquozR0lK4QcQfTiq;@ z`}6LTNQ<7i+b>r>A$raVzSO&YJ$5Y9-YBXlD^OnAe4TKG;}LtwP^(;gD)lz~^@4JE zepyVby+=|Pu7r)IS5IBpi{arU(Q1;8x`v*zYU3!@`DE zcLl+lwgbyfFU$OVib0;5iM_y%Mbfya3r~EX(3c3w2JQ^vTq}R-tL+u4ifA+I>34Ay zdmgs0G_4&(38CTUlj9TWTC5c%`N`reg+KBNwp=>{y!nCMW45%&$tIx+&fzi=UL(g&HJMCxz`swM3}A?jl*6|7JDH z)zkiVXJ&RfGVF_3UieFtt-IKsc@>_brfy?0+to|1f|~0t?6B(uziw@IC*rq%l<&@} z3lBC6nRQWpxHsYd8unDb^)$^@aJ;|li%qZCm77(00IouzR;@c$gcRObJQdvB5HSd1 zt}owqbaKoio>S*qjaHduw=UGyS5U(fhfFpK)aRACuUyUcWRHoB!C-={F1aGK)?EhH zW{=+`eZrqTHMw)D8(a7a5(hEo{y)vEp*ivhA)vogjDLKf2Dd~1 z4u{pForcWaBiqMV1s!B%QsS*&D;=x&?FZIYtQ!&*{S_-YpNNWyWXBRBTKDAfzY9Tp zK5F-0teJNEwN&8AZ}I>tb{N<=TJ}>>SqNaqT0^c6ggE>4Q7pS@NLIk!+h4gVm1}Uc ztFgL`h&FA)7RLTYmLVsm%!4c0^&t$?PLPtq8?fw;ox{z+I{x3XNBiagYqZw}g9UGU zRmk75J4?}jM$uIf)H*uwOu^R=>~R+Wo(ah+p{*#p+Sc0{OL8_A9NdhXt@q6N|0Cuv zyj6r56?K*N_E!@3t!}QjhLbog2GaBMc z3krV*sj5Ysw`yCCafW#bE!YR_6vpYOzYq9Ci-+=>Y12cfjO}Qib<@1*{r@sT9W>vD z7O?KqXl?GDV6)egwBi*k;t4MKmENoF>&-&k79)Axv|aW7jr#f%!HkqcWw^x~i&5Qu z98JxwH+_~LB8@?YMNC^OZ9{FVW6I z03qTBSI@G20270Kr<|MhCHg+?F5m~^>kNrr-Eih5xo)_0;IT54e!6%=;SX0Vxc3h% z_)gJSx#5e>~Qzga~g;wLcWwL)h*!QPHql)z*Ti_CKkrkyks;9mT zjrFy#&Kx?CPu?!>U}tRvz~8Ia9J9*S3&b^%#&d8r>Jj{yMF810y63#q9#9=$r(4YA z=R&^zP>7El2qV=Wj_h4V6@~n9+QobzLJQdKUz=ARs4CM61~%ws<}{0NG^6TbQXuBa z1r|6TQ%KHf;dTdbIy<}4EQO>ir$-(7HPgu&RVR0m-dyNBRK=CtW^&}zwu0XuqHN## zR}7F$CjfMdYoR1YU5k=pDwCb=m2*$H%)(Jw(YjDnFTDb`rAz8(~?W zbYi$fPWShw@~?*AoEe|$_K6JS-pheJ?+F)bDz438buTA3s4Iwb4`g6iwmh8gZF!hA zm|>Q!q4QD$BB7hm6#MJaW=$R22E%I6-jj>7$3^cJc4=_>OJu zzqnYEhIFM3Q<`4}c6kFk*L0IAZZio}$BN7ny0mxc90Ac)DmadO>u2e8R#+V}LnHoU z2Snx-a&DUbjA2!u0RjDl9J2;q%W{SunS`BgN%KWq;4HQg1}hx&(nFT}25OIrgz%+` z8Wo*6d|HlDQ}1aHpWYA8`@341w7>Yj{)wF#a*QvVK~*nPCY512J9zAnf5y6 z1be)+y8w8Of+!*TAQ`u#3LOyB8F}hIl<(D20?0BGir?p!Pd>Rc=9oCN4KTSvb(+ML zT<}UQHnC6VJDL<5-iY_bWE?^dkCK&fz9~>~jT<0$^QwtK(WdZL59JOv=GF}xCkADn zcG<22*AZo7_Fx8xXp&G}%K26apb=Ner9D&-e8MDLHoZ4urD;EBr$>i{O8lDQjqX30 zfLa+{Zb04k&P>lsUf%rG+b+%l1&-{Q#gXmuo)zUt3E!us0>hD=M^OXzrZ-gsux(S% ze$6@u&YtvPd2{rV*n6Mh-p-h-ZhUNPZ}yw?D4W}!tWG^~Q&(&OaG`Nxy2xK|$j5B_K(fhR?Q&9j5^_3_>SZzASNI02vT zTC1w2?$dCo(^BGn?p)a}=1Z?=1L@;p6+UO(zT9e*7bYg9Ib%n4faqr)>)w4YY5wY_ zPwTcOfk%<6!nOXKD!{HzrAHWdZ1#84^$yHdRQ>nNcH!E}07{hwJ1wvW(9`_r>ol{0R%Yma3NGJ^>|+qkKfrzHb|O z<4zyPS;~t%Code9T1iF}GI?7~wD)p&HTKz@Lfz>KrtBg%xTNC+Js>(ses-hRY1PS` ze6|P4>>oiw6;dh8?XGvOKz2QxZ>>OZQ~kNuK?q=-rs~~5W$lcd;8Qxtj#3rwrT*aT z2%nwxrtleCaMYZ}7PLASb*}7M-+l)VIR(Lf}?zf`WE#s!t2adEny;TDlKE;N%|{|P7z zr>@oH`KxapmZehvh@TYK>s`aRaF@c)V>6%T+6p%&IHCMdu`G2llx_6~XG3q^)W}3o zML;Ppivke#C%#bts#sa~a&ZOE&J4Fe&ylv5OZ1reu|Sy>-9qQNm;H&Bs=dubng_8B z0V-Z@2qipG3x|%T0n%ollARf4NvyOT3?T(_4V)@&qGy^lTZRzFo!Cs$)<-xoLAli5o zn0|#G^jFYU>-Ie3OgtMYbp%88liT$DE=)`VJw_7L~BEQP^14 z8FXPB$5N=4){kuGMU&SFH5`krNr?mXZg(kht>^mX${LCS=%BH6KLQTL*h{n5 zI)NMt5_(}tT7*hU28JNEc}+TB65Ly3X5dq^n?Ew{?UPs+iIyz+@dOXJ(gfgh4Q$kK zqj$rJSKEB?5%EA@$uKek&pb*+{k4&t1q%yZeSW~oTIRj73%^Df^1wY?3@RG4jz4p3 z>Ie7S7nTX%QN)ROx~p@jqC*TchAxyWz*Kebi5HGZtcihm|me_wH^xa&VxITZf zHDWX09Ncoo@&cxh#5-lr;S#X7s?Q5BOBn(@y&gUJ7aN*2;>Q1NP!B_!X9PhaFJi7x z0Xn^m{E1T9`*nP>oztUJ>kBy9*Rb$_j4yv?WSy4%!`mLQgGT!-5;b-X-;D+aOv$Vj-o8NSKMXPL2D;%~4yD!sl4CNPQ}rPodi_q5iv?6ZHSXh3 za#}4LNQ*Zo&9co`w~J*OM9}Lb1pso!=w4=RTHP%s(h&z-p;%H$l>E{BOTom>FAI)4 z*TPX~oxRI+{}*9j0hQ&}w2gWM6~sd*(h3OD2nf;!(xD(-(jX1er6OI@4I(Ad-Q6wH z-QC^r&ja{=e||q}9haWPb3gmud*YgFX3sbpu`ZwPs{L+?FRYO1v5=;SCVr$jBh?Hn zsp_+p&-XDD4_e)X1z8npAaMnqyKZ?16&^*crF75Sy%#ed@^%W|vebt@d22LFcF!_j z+Y0wrV)iCg1~w%f?No_L+>JY%*S}lKKF}RFINnQobewIr>|aLsHWJ4+OceGWdwl36$QmFj1UjoOBv}}-? z$!35lPQhVlAla8oT28LV6;<`#derQxtr;gc`f8+7Q(>mnwO%BSh+j7ug=MZHZ5t9) z#wTaNcS;tZ{uM@wondnmw-E5PLop` zg~M}8HtHdp13M4>*4j*fI(z?Mc#r0+6u0k+ep(ymyt1Jf+DfN~Td@P6f&~D&=oYhE z%KBGEgXkaRdEa0GOt{#`?SFQf`}LYTe@Y;+V2jqS$75s*LzkqKE*_$|3(FV8_aDor zYkl4M(ab;AY+J{l>Jcct!PJ*&qQl;{~EX`R3jW)mQtH*bh}9o*rDrl z<(@>6is1*VhqYeKN}<84@psZ^(B7>|oY{RmqB5Vk%eU#-Vw|0m-YMTO(p{^6d_lb_ z=WKQX_cra-v{zRmX|;VMnwvb=7Gi1n;CB~iR$!!*03^t0oyuAl?`XesAkR}Id`z41 zfIAM!NZZ!M5-s`9YCzr5hM8GqO_OQ$8{YO*fT2GoF&7W584Wd5>b;j+I#W5hk9BV% za!MHvN;RPh#f%PvFFzEO{JXP*TKH@*;_wW_5Qi(VP-AOk=O%v+61W`)3VSX`Bczwt z?DrQ3CZradsi_+2sp>mN)A{u5p}s(Ciny(L$_dvq#rp`Ty)eQBN4hU|)V`(kTq|T( zKTXvIQT!@old&H_l&ZXuR<3F+Uum~hK96DjQsml{vCgMQ`%(8U&Z~drVf8Iiz!K2} zK~CgYGV>4;Xr+m-*3o$GSxM!7G@bg=f3QM-D^~0Y?e8*bi^(v zGJH+rZm{uM-_k*UH7dqd0r}P64|DIqseg1($DltgO%sZkUM2y1^TViXP}}PjZ@Yev zkJCSQtiuMV#q5m^tc$}}Q#;z}Nj7BfL5`c%+))0JNlajHTYCRA$N?l+UB!gQ&oZsB zklGee!t*kKTLw5TTl{p8X5*x@RTJ^3pYvbw(t7+Ok4efEaJmq|u7pBW4- zRhi?1$EuQESt~dqf9@SiZZ4 zZYfT*o)(X`I)9XX^jwcqI+4c?43sL77RK8zGS#R~n=6Z6uEyL=n*N>ZLlF?dr=Z_e z^qIa4ALTcBZ3G<4ATUZ%CkCAM$0eccMRuxNiE4 zHYUk&Q0S8@X$JZShtVt##TIs6m+`5I>Z2|kEZG((t=P}CiSZE@-6~`G7`GSqCzo|P zBBh2Fy2!sEzbMxq#%dV))qL=`79e7bzPhI=`pXYYbRxmH&(2C4b8)5Bjc$EO0NL9;t7xbQ9abwUop{a|zGbQ5zzN_}qDe11qOL zEL1bg8)!@M0HpG=3MO%}vFh52U8aqUlf=W4VwcUqG5<|0{@j@=BbN1PUj?hp23jNp zapqYvD8okhg7-r^lvJN_aeQ&*4zKd27hwtF=pR_$oX4LZN@tAa(p`Q-6vp5=q!MxK z6YzCwoDBa`pl}c!u2Zo49DLdy8?AW!#9R-9?^6Ls+~{HNHs>->#dnC=woqS_9_7bn z7JijUqIEsBp<_`9~?KSN)4uuV!U$h z6e#Jkn7Zh`rYMZYH{~8faE_JIA0YZJ^k=FPoP2Bqru5g_cM|QR)A~Ld_a;}=#32I# z$*q*!CaTA(eSS2@!vr_?ET^Vt>%p4>e|}@bq-gvZiE^lT%X@k)uLU8<4|8B<-&p?{ znL!R7pg$<|HDo{i@yg9Ug8XsTiZMB4@y{Un@eW zZ!aCHKHGTS+DZ!);J3rPHu0NmGCM|&&eFFR8IQb=5M=yN6)!OT?mw4g;!dH)2Z4Yc z-aheOy8iFHy2FZqXs=BXBr^Wz;vK0Ro;#(+m2pNjW30eVb~Ud<-$33QI&ys~Np&$jl*@Q3}XY zHZ(7d{5fU5t5I5oOgp{`yp>Tea# z+k+yu$r(FMLRESaQ?`BU;)#`2yP}#4EasQ;)u-*kXL){@DO{qryg@=D^K~a6rfB%# z1xei~#mjNoOZ4LV;7>ZHmCHni3++I_%hL@;Kye?7UL|L(_0{|Psh~Xv{Ef_fCs)>@ z7_4#R3jL_>b8slq$ThEV5o~T=RpmlWTEAo9%0?IxaNk>RI@UcIV;b{TGunCg6hpc70z#y6T2AY+|e$l#fR24r%fq*IJRPIwn z327P03GQ#s-)gv({|#X*a#iZS_qL7E6U`aEoT5b=j;*OzN+K%6?7fu?2PK|#CsjHOo^ z?4u$XmUhMix<@C!ghm~qEOLXN>E^lxf*DEPsV{4V z0`JG_w~)Xo1n;^x((f)Nx~O7YsvWVn#%PARu-)irVri-|71AM{tZ+fbWJ9%D_U5fG zc3jpUjagSqvaleBuJB{(0O%qg%^6ia^|Z^%A;q1`@X9Ym4DdJTy-jcS%1t@61N}$9 zm>?GD-QF(!GNa3M`Np@iz|!qzCaV5nvn#$_lJ_H1q~TZ5#I`Xd&s7|RY`yJ zD9NqLU=f^T!asDb<(j0^34my-?$F$2enbjPDwwa4PxlE8PY)kqe>_VfI#&E~b{b#CdQ1KGc!^Nde{fZ*(M{eoW zPv$6HR;tq2geqrF!SwXw2p_r<{wh!=l=zP0pEx+c2_x3 zTjcS%87*l5-l8k=tBJK-pFHEZ((sYrN=u8G2oA8-U8IvupI+vSrl~L|r>g5;Ezk@* z#0yyiDcsf9FfpOw3WZvFcZjC)JER#c^+>qz4w!yO+C$#M%1{g2=%jebYidoPQB7Md zSk8Jl%Z`Oes6i)HWRyZ1r*mnfu66LfIB5Oq{2Sj|ud93xMZp=t#HEFv+;d{|C+Av9G$;E4NC^|k@A3;?sAIV2<0Uve>TTaMMBs4K~6LPcAh7f zj#!JGMFsKKX)4A-QKkBhkt(AhU*nE3%&rPP!dR$0^FiN13e9MQ+|sL|e~og= zN&0>a6&Fk=P*yx~Y!h3p$jV8!19bZCzBj^J{w!@6sUP%MkyK$`c}&a^PeHqC9q}4} zZxiwe%5Mm!l4!{$bjYDVHIjt_bBum;AY@4SlsH37sdA-EUV-x}H&pdeqV`I0oVG

Z5T1m3ik){ww{&j)A-0izlR86`MOo@mjMCb8SaZaer@! z^I0Y;bpf$P|9*0=5w=%Z6m5!S?fBYCeM_9tKL6xJyMm(Ozf7TrRY`vr6XT}@TScrp_E+n%!%p2>*@d~^%?dz^KE@mnPnNTTm)%29BM-KImxXRWej<@1TVn65U3_NfP8oIMN5`&Kmg?Lm{UagAdLDngjNRd0?pHbn;wQ~8P0WDAI zN1W4pJ}o>=BLjX9RK&r;VVOU`z{l5vYDfLlv?lu0gBFR4Vsja+%W~^<#+pHtt-e(a zhq18QpY1z>t*NC(C+3v(mhJWNcFob5R`(YaN*j2if$~=tpm>Aks4jA%w?y9AWKVL6jav?A8T92IN)K!t`CDhOwh+6v)fks&<#Uh`p_S@PE@il={b$ za*KyyDqI(5WBOF`5-U@g*#`_l<=DnhKB?EDVvMx{)|LCc<pEq(7o< zO%&hYsoyoIoz_Hwn(AkBY&o~YAEo7pk!7v`8JqRXW;iP;fUqDx*|uJ33;Ei!e&z6K z?8@b~4Ng|3Ti4dX`W03vTwB)vRet|BXJePz7$RGj%N%|}$+qp0%BjXPTCHulnX_S$ z#go(zC92vph2_V1K>{B?&^Z{Q16iX!QpJo!Lbus;jYOuTe1&Ag*hJ%WFluso7WsU z6!db)O5pO(E8AR>AL+!w&^wP{`NQd#j)Z^Z=s!V>q`LZxa9RAB2gIXX@-8`AGBZ8o z7*)Z2rVkV86vg=ruM{~qSnp4TC2j_86L{T6{1qr-hVSa?yF_BK!Z~kN34b?ruO_yO z4rJ~zKtg@Gz`Vpt;|;5D*G255_+R-AaD^sjDGwYJafGE`+}!$ssSCFZej3e;EJ0SN zl+6(bDl_%1c90d9#ZQdRzVhrvnd>`UX{L<~wA*aA{4_4#{(J^~r-NUHi>SD?TEM{s zSIi<9Ya2LV1lQG*zTxBZP+R0zU-#q)CFkJ@`C#|fY)c8pzw^2dcg#(tAHLlPJI_h; zM837Qc}^>Xg19Wi@Z7H0deZ?)hmq12dyX9rp}1p`>DIahs!%x$-`yiT?9AMSQ@Zv{aHhh`NHJ{`5T=aB!}lbk=| zOhrje!Tl7=h*g_!*FYv=bt)!gVr>S<@dKuj;>8mkRHNBy-S>sTU!0`qdgQlyLO2YIuTD!eJSwd zYT1)AKnZf6gJPrEzAP>sV)+*RSwIK>2oxRl&$pizvYhYlE? z+*V)Fyy8RF+^2r`FQ^(iioZ_f zW!jR|YVMiZ!4-m)RNVf>ci9xJ9e1^D@n;Q0<7MJ`z(MGHh|ZN=FEKICO!!{t6$@`4DQWk@;q`)H0KN}Wgb+EXuoZ@030^U z!_nhRx_k869EYqK&<`GwxrNqU&4|oDW8tRQ%zsx6J5d`nWLI>I1TkXMMK!E|r&$Td z;Gh47Xg>9|qXXlZk5PrNL%Qu$&^r{jd#8I($cerD8OI=#c8|qjuKV{F-{|r8YBy&0 zJdMq>p=$oC6aOEbHw_K?!@akcHs=!UIgdNVy;l1^!$7v=uh`4At~;Ap-iiy>~?ZsBbE$c3D^$_!svH-PXlvEkU(l`fg3ANGLXvu&icO^A*DY z7w)V;aB~mo4h6^mlxmjt4;`ZA8m#Ttn869Iy$3L41 z7omKc@8d5-1#&3nKuF7MKbjXG(9Cr}BzYP@_Rc>1pY@fKC`6`#{4_7d-7!jjN=fOJ z^@@?;_9}*h2wqP#MUv4(H09E#X0qcYr-&}%lF%{R&p@1Lfo zFMx%%etn%!-CR7+v!VI@_!3;}D{3+eD>LN~E{L|dnF9CO5FfW-3C_^IJg0D6uaM0o zdc?o{@SuC*y&9L>Q}ao$ei_l+)BIm+Ty*p_<$x}16UQd)d>f(}raAtU-vpQ+ZHrDE-AWjHBYQJvNgjwwR-0Lz0X~f8xWjq*gZ%%ktjS%=rq-ihf%H*xeH&+a_9te)f-TkRC^BXXR~#VY z|B{3b(_{lrR8J;hQ7L`OQ{~G~xhxv{5@yHmTby2@DJGF_r2-#pkj;Nde;4c7EGT2m za6CZ8-*qvzSZFwiUQ-t0*+PdAatSIG4u2;cJAX>NsCCAEEA}YOIyHTZuz({dw|%2O zJ3;@kLNj>-i?La-W659v{R^f0Qnc#)J&b$h2bF(@(e}bM*NV@UgLv<)aks3I77ypp zGcoDBsq;gYB3PsNDENm!M!K zAqOXYqh(rVQ`7wOQQl)?;#b@Xl|FH*e|N*5g8Aag9`CInx}7NZBEK(HR%QbSB?e4E z4NEeuIpr`d^M0({4x^<~y$Y{~YlA`|hW#USrz$s$DW!s$Ji}FUV!;Y);Of*E?&~Ti z;Uz4umdSgaFI(V6l9A&%5fT69AYMF2(SZ7vvc7^R&QLF-IT{8f68Dxhi_DNmzzgwQ zt>0K_qJ$U4v1A=O19lfm_@6(qx>_$Qsp(NIzM9cKx&4X#F5&!WZZqu>(``PQ)>a0l zmJ&1a1WgIXJ0aez_q{{UDn2>Jl-9;JE+O^H%dOkU6mS?~`Asg&nU@sdh1_^P@}Yfu z`S*V8p|FS`DHo|HBf5puy114%z1!%3v-f`00%J^Q@&}HBZpOlsOS>0#Jw@87R zS!%Lt?Uuvj7g5O_vCEOOMf6u3V`hhU$f($ZzbiO-4AdQcpTb#JF!TEDxzRr)-`SaV zmEO`cL1|_4&c|rdIm7jZUvUH;#V_#voKmEBNz=yOH-tlbAAgbsUF8`S+-k?C|%Z-ZvlbeC1QB9&Hb92=ATk zAzINLYrOtx{I`I^KyFM6D`sYP?)(3Bb6RH4Gk=ZtdNL)PB|LWF;zukf?`KXQBOe%1 zz?Cr7k;P5kIH7-tN-E!<5k?k88jqb2dlXk~jTug?7vXQ~%0)d9e_9#)^)4KHmu0Us zT75*_A!-)oSKbCyRYSfa36_FmN(1ev5tR>o_eM`SWJ`}|eETvQzlo)PRT0$qc4lD_ zRdls7Gzl;Bs3ysJ)=?U>u!{wQvYegSbf!{#Ds1=AtYAffpwJg|v1n0ypH;ZXiuN>r zMFBl(_TY{K+2S8_WSjiSp4AmW(U$kid(>h1I#aJSJ1ECID(?Jo+*F+Om$=_qfGVD! z-f>v=a65)Gq-)N|$4?!_%5*$wV_WBJEaKj3uIL3LM--`bamBImRZ}D5dgmH{W==kt zP9%lTBg1wN#|jy&aQjT;G3$~6=Ju`f!^n~yG|C0JRL3NI?_a^l?-lo4wxjZ#4Pry& z%pQj;x22fwHn%-W)wV52R1NxLxni`qs1BQ0Imyc2nfBr}lJb&-YXc9eMs2nIa>Q|~ zlVY(Ow%HSzsda^1ziUYyCN!MnFq-$kj3Q#!byCCe$n>BqPt{YCnsf zNV@p-*K2=k0Xi-W8p$0orppEbv0s(l=3eUGBDzhj2~$&>2ZnwpL^CzCH(#kTo%oc;!hY%r z61WvQs2uR}B4J8MuwmI>N8wPAFO(|LJ__)|3EQ9gz-^Pj(XL5gI7Dp!D7bls0G^Hn z1DeN`3-H3iOO>~N zj58&Hq@x_yYH)Nqa?fUCcP4g?oV2BKYKNL}J8Q6D#k1TG?OPey=>WC+JCkfuO4@)* zbsT6>Pjl3+Oxp6km3!7k4G+>poYH*<`KPC}hr}Kd8_K+^Dqx&aqfW{7k}8_S)lp{q zS)OtQ$RyJKu#c19-(9q7VBs2MC7Jy|09x5NYH@gcH=htaPO@vTe?We0qtLa+zT0ef;5_0wZQF2RZXU|Ho{n@>hSM;@=zoZ9- ze9Ew>QOy!mwf^?YTXHQ;iB-dy6$zy2Af8Kp?nn&e&(m-v&DJ;ahWTdTj;+nqdL z8P;+W=^01=Xm3)=R@>xBPi?NECKiVE8{&4kwz?&gW0skxt*x!A{q+Sh{P_gzqGwHJ zx{?*hkZ9EBuygUyB-|fQNFo+Ymk(;blDV^v>$10C*Mc|_q)4w)-iX7e#7zg6uTb&V zZ4r40A4o8#tk(Aa7N!}r4zA4=nUrJ<1+_`J6OB@+Nq+2fgVW-3dyK*OOT}9OHmtD@ zn*8HqllI7KoFm_qh`HOspD5uDS2?S9W?7*uKVahu$dSRk@>pqe7dNFR(vaJXo%`T4 zcn1fghQSko2Z?6=QO&A;OgW<0dXN19Nxwq0|*A8_k8^)bPT)6$M?G1cA@nYpJ|(7^{pg z-rl-l#>7;P+wbw>bO<+xEY!V%sP_FoPF0QHck@CkNF$4b2#9~Kxuv+8iEErU%GV^yE(@7M^;uY(gPOCll;?wv#_)^ z9qpax2esRVJ{WjpoBqljrREzpoHgb09(w@>^PS~yeGFo3ELk36;Ov{q5=XBM6Da5j zU)_t+sBN9G5d{ zN`9)8sYOTU6f)o$jTR=xP@cbd6Ya$my7=c*Qj4<^%apib{c=lvyIa?X`?8x_nB$UEl?wMr+nNCOSH^UQz26iA*w{%UoRpr?JYv@4KAP~>dg)BBJ|zS zk#!%4c*$n{(8ut$Azc=+HSI#a1*^Z&z3rCZ?4mV02?jE)`#;|s876U+z|`UH!h&5uTX-@dt_e$=0A{=K@AGqkh( zJ9OkBMyqm>a}S3vW2)sGN7QUA^G`WdyW%r!iu3vHaErR208}2DrNaz8qc#9gXGPQ&D}HVSw2P-l8mlWzObQP ze#MfacMfc}3W`*L)vahG8KcUjJVb=3&piReQpaEu;7t9|QF)v5WlJK#<1U-yqu%Z( z9$wi#k93zM!ZPQn3-rZX8et}*DKiZoh@wwS8PfBH`t*XG4J%J}#B2B026A?UM2Eee zu3HK;f7~=qp)i)cwlouwEL(qt;%KPheNjQEo(a;s?)#6<-?S)xvJ3$Wu?1jYWkd5H z|F}8BpH?cBkCL=ICjxf1Ei&5gyc*On@^u%T=y=tMrlYV`esuhC=PmT`4Bh%*8%e0Y z)<4T<%KmC@SpNavV0LcLei{alfu)!(&D}Tl3linTDZ!OQMaZ$+}_s z5l@jneRGSbI~pq>Rz0qyFw`wEU24NltrtX_zU^sLUKS)#7&ch^DggY%lRjkTX?3dwJYbp3(=N_yFIdMzMizB84oO>fwa zWxJ7LiD~`F03rs~xad@IT@LE<+h~tAKVYJ&tho{KD?T$oEfWc@dJYpXMFV1{?ZM5$72H#8ck<{-_dFz)>JKS$Kj@{w7PI^LQ^y2m$W9q22mr4Oayt20kXv&RG zYtn`@PHcMjkA6^0DR0~T++q)=sZtl!+iKV){irMLO0~Q~AxqShXy&UZzNf*2oL{{+H{zv? z-8%oe3W+&+wid)^cykoj>zgKnT5D{E{X`!F-b7;&J^`EMl#c8Vm{_7)M|t7{sEJQHM6W3=vM~*n+>XOR*=iQ&_#DAXXg8chIfAFdHdX!Mpxi9i zXy~4{HkU64J=f84ju!#j7amK(ILoBOJ?`h5UyH(U&FXKf0X&q;n)x?k_iS%AVb@y` zjH2Ui8#Z#BAC1$MxF<=S%zIkCs~x{}QE^Y(7+oB5&^{&RrL1@Le-5OIt=@7H5D}c} z7a(Te&}(*?C)let<$l6l9p zYc=cKQG%i!-?i$pt^G6PuT!wtJ&FA0=E3Qd}{F(MzOD- zk31IgW8PunL62c;ppV#%U>C}I2SPeBy!59`iFEjvRN)G;$7S4Zaa(U@fUT{yRYx`j zb7bhL#Kh@CB_GjoPt6Ex%VpW&;bFwA+ACMC6c!gV8jnBEHySfsbUQbP63;KY)n6a% z&r+w9%qNIRW7ArEyvgGeO{XLY`sU=*d z%$%b&?++|2EHL^c%l^pXi<6V}a#q9s{*-UBav3{}Y9L@Ut^JyOjwR#2Gce)p+*Cvu zoLl8LvB=l!=Ac8N7C(D;GRy!ZQM>A{8@9c#h03Bym1EFA2jgBf7X@A`8yho35!-sn zMC;ZB#&W?p?fBvYg6Wi+VZt~J)2$jAA%t15Frq#y zFR#tD_CgGPU(P9Y{sPs%F)}JFMv5IB8TkomdZXM-O1!u7@dX!3x4R5~V0tYN;E2H7 zc@e_oe%Wk|o7Yg#HHJN-y=*(T^5-%S4kMsU&5;`zIn!)Nf47-!B!=cap?idk{ zmwCOllL{pbS3^87x`$8iWAsQH2hui4hx;?)VC)vn~oVK=U!D8e8WIm zq4c67x=c3H_~9d=K&$a`H8nNa%=cHI-j{@&+$CM91ZESzis81;%*<@8>Au*Ae=qgH z*#p)LgCqA34mMs6g^Mf?xNYvr%S*>UZf3rJ(6P&qn8x+OiBELjzUKqgyWi?eBAW1q zRy+35zh;&XhWF$KSyJJINXX6ESU&qYC^t-2+Itc6M2qvBFn35N3W$r(!5H@k4<3Ai zDZ&$ri_Iw+<;^fBhf+o?<<5DhFKnqxcO9Dxo5tsD<%!>y!FcFiT-x0kB*7AXlS%>` z#vQY`Drz(@{#%_v#$eMrBofXn*zt)DsXdadCX;oHjN!3cxl%Zj!#GxE4d#L09J*&X!sb*C#0bz{t&$>n{xYvhY7D!VVo&YaxFl(y9M%i*>nRR}c1Lf_&H zx2KW#my9e4)BdRsFtqxE#LY1!uNdx6jAW_fa#+whShNR{ps;R>hX$<#d5!(mUM73se9u!Q#12e znKkaxUF(Jc9^9vr&Jl?~H4;70)x_|xp zwIrVj&l~Y!n8b{E_wMT?u_)+LDI3j|B2DD&aB}#>W?Kg)*=sL8_IK6S*EcpbMNFv< zq?D}hHkrNxfC@zQ#+^G9FrC_|>OGi&==z#tbt5C+oE)axc+8dc_3(>^CI_3EvuzO# zcX*DU!;J8eV)L4Y2G`LtTXo&!yKd(TyoG-m`}E(ubxW=K>&@k%f;;d7=PL$7tVIch zO{;)ghh_fBP~nl}$G~_(>Fv5%0ePDURwHr{-Z6(G?^}1N#sLjvs@D8O47a}Mbs|6) z7I85Q6j-@(dkzrxXVKBoFy=hlXp9>M>q!+td9~lmw&7s{_{Lyb1wI&+4ddpaz}yvH zz6-wa%a<>|j|mZm-tUX}1=&HlX|X!&?&^vX#cobQO6o+bkpJ)f`vQ;%xbVwl;zh;9 zlXG(o2U~M;g~o6PZn(0mE8uWviOFD)*>Jc}_0sW~;#_K%U!LurA=F?rjP@=qExmz;rg3(9@^N)IOq~1R>tavJ)Y4MRM2)K`;oI}w zJSD!|%|ps6?Ic58u0Y*p9~={JZ`K2vb!T<>YjYo12?}%O=oZ zD1TydvU+`@1`H}Wd}MBUASco1Jhqca{cF)i-LWXvcXtzYyAmTgt^MItv-SGu;MH{( zbr4UyE&;PrOO|scLJx z&BMd*FuL>+23=KZ@h?{$V=PynlFTy4?RnlK_pKBmy{Ih9PJJ*Fc$EC84QP? z2?ah@U9>_7(B>To6*xILWkH7ERN-Y2=LbLY13471Zm?XE4Hs|z?&8fc0)$0GGzN2Z zyMMlQTIfn*`q2Ft#=75UH6#EVpLo&Hk?p5M!mR)b@!8{pEgHG(uif46KqixAGKj$A zPJwFwJ)_5$a!DQ#7+4DujF?j`nJ7{PW)F^=Ts+##$;s)$J~i5B=I7V9w0Oc$-Ip(4 zS}i6gg)(a1lKSV!52)IY;S+OdiCm0$s}|v3NekwZx4B2 zzn++z<6robAWC@N4TwkrZ@xaZ{OC4u3{W?DW9*Zmv5+C8l81#*>K4#(1_BSF1JjMV-gp%VlnUE-B&In(LsTqVm|7 zYS?NZc6^g0MtG^`VPRpH%T$xNFp-U<>J0Z~!32PB8Sjx%sjI1R0&PA%IZ1w(?0;$R zZ@x>F^#ePAK}6Ko1t zB^Hs-Os+aQI{tc>tac$x5=fyD5mOTrRUnf$Z{ODZ{rv@8i1LJBtnSL9jEaLvNa&rE zL;+NgcD)xa89Djou{V+?T^_sp_wNtj0GrG@xLhM5@WF}GDCB!VkQT}wjt~%ROoXlj z!dGuVzeM<<460WVg4EX+0u#Xg^TfD|CvpZNo|yNc4ojT##Y}V1K!qa@xUV=cQHeh1 z**xb^IG@wg)7skF^@F*X9D^a2aAw_?@JnGlj@-DoxR>YSpLA(HP_iMsV7FZLf>!~n zt~FL}pQ>CIuGJPEcDcxhK0ZGC`}@XVd%*RYn3$-}|Bii^p&SM0kA;h?d+8LdUtU<@ zB6<#sgweZUxyYIu@MmwA@-uNQGm}IukOcdPh%64 zDsZ+vDKapAK$K7tVK=5fUmj12W|gn{9kbejC%MKT3Z%V-T3ntXM3 z-e{q(Kw4kU>6o0It%s1W&|)Rr9qXLN8s@naAbx%yf>=nY=NgSgFZE?$VPn_st_*=T zdM3vqtgyfnZ36@EkPsZOZveX1kGDDy7yu;fB@C^CAk#IO^!$m_;TM62DL*VN4xY%Y z*Xw0A*PivEhYGObivq(Dk&B>znq_CPr>3LB7v5Q`JyH-53n7O^yk<)HD4 zSRIHRIKqFiv3UWTSRc%UKrqqS#(?l@{u#OY<>&Hb0+asW)y3PwpURb5JpnWF)x`y3 z$hhh(b-K~-&{XACX=|$p z)w`dSaJZ)WIIwIG(oM=BH-XbGtH=IllarIO#UCk|wA-imH>NmsL$iHvAAvfHRB$Ctwpz zNBR%}E?_5OC0T^zQ!-u{FG>w`LiVpr%)zsbU>KoG&D5Cl8EX60o8cTbC7<^4;Il`Zf^^_ z*x1@y+uZCi7vmTW==K}n3RqAmw>>+2d+EV!L@8((#5CdT`Hj~gsC$bg4TK4n{PXnQY_u2`fnSiV2$nJSxgHLlaG ztc(lP?K`lX>0~Fqfm5E6mfJQ4!oXX8*=JO$F3Vovf zSgAPoW|zk_!nSXLyB=Yg$_1|pXhju1^Fsr6Nq8z&pvr8qn{u{2ss$o50SO7rGMk<1 zh6WUf#nP3_gy1W39JOd^Xfm_2)c`ttTpJy!Z9?c>{DVK)=K+ZG^N$~y3E4l6gM%)> zUY(dVGnPq}tpX0?=AAopQ@%XX6UrWe9JF^0;EaIpdG{03Pwh40o2O=HU1DO0Al^10`ephK&Sb~8knw2edjmTN!*&lbZ6CwAnKm-uk z+0Cc6fcK;juO*21f;k8pI-U6 zff;_z$A=8Zwn}tVM6qp!KZhO0uIM;yCW#;C#BJSpc z9lO50I&u{4>~O9}M3>g-N?>H97X-%OM)qiiYudv00LgLgbW5fx6wnc4dQ9_JT3VtL zao%`tW%cZ-UN5u30}KqTPOHZfna-}Rk`U;b9_6JZBs>CVr3pqbkY42!BMIT9{Jzl4 z4e=n(o@^}P;#@3N2F+V6goTA6ossQ%0CE*bErX7OgM;_*s4IIwQq-x1>lUQgu18Df?mnVLGO)f&zerCU{QPx0tZ7rYa{C-LY~mh!!9u zASLcP&o;dHfiRE$2C%!Z6E0C4`BF}tT^=a$EvKd05IXw6oILq{ zQI=%$8)G(FDvyKnT0zWIW09<#ienUl(Sb?Wq3rUpn$T_mm{6=y+dHq|UcQPI@|vp#0#)C+qOQB^ke_s@W&VG4%&nn?xU}d63pW9W9;}r-z#vw4D zUKe(Q9O|s(N-aZo+Uk%B0^!N{xNLW3J*J89AFv*WDsv5TD zVR~PQB*{<345Yw(XBo%MtUkHJgA(SHIW^$cufKdLaqAUDo5of&X=@a#_>>R^=DmA- zzCS{C+N39U0Zd>c8$yRdP*9Nr6wh32H04~MuZEU(ra9GeK{u!TXrg3F0Xmx?{`A2s-Kz$ zaMH)v>(?p{a=*(-@k=&<)!!#!@CtL}&o(@<0YI&_`0Tng*tC_w{Hpfq%HlPi9~w9D zA>~V%nRr_0)!}&RZN9{uj;)mig*$qE!Tv1L|IkJ73zlF)T1G;{ZnMWyBw~kjsW+|b z8Kvc2kckqOw5&F_slB%&aEB7|F&Iy>rvC>`ZygoY|9uamycLiVkuCuRk?sZo1*97! zrMtTYq`Nzm?#=-Q>F(|xdVqnMp?}xU^L+mS7He3{ntShg?X&kjXE(^@+?nB*YQ&r@ z*K5ii08c3Xei6<)0FCT~Qu+OWS9~A6vdZi3*iFBtPW|q>`=``6EouvI12x@}Ex~kf z#ku`-OD49T;M}Vd*L*x{Xr?prRnXs`nj4+(d)I#)LX6d0QbSXcvNDdF!iN}iV`V+w z^K;bKNq>`_fB|9YbCHm?rk-+pgJ{O!q`yD9M#}BsDmR~2MYHC}cU#bqoc>}|O zt6`D;dB&Wa_0oXP()A7@1s2Oa%kl8E%t{gj-P}Q7y}(LupN#>vmQ^`BnCk?8I9XQQQ1I5I@AT;0vc2;Y^a$_-jXQD)5jT&7$U^ z4u54TGn4PkC_=Fn?K>n$Bw0Q1VRFB(+3}<0z@zELY9kbkpxDc1-QV?i+`rblalF() zu~~Lb!!>7q|DGvglnHf?F~z*ME2n)P!7w`ZM52l%xs2--I$BY&a$Ba{`W);hOg#WA zEHa;TJ^1ozu4L>M`;#^ykMsWM*7bsc`CVCG@FfWX6o`9)7#GI!tz{(`PUdzcUv`I1 zG?LZ+Ivd@{4Gx402))7<5SDR%>tk+( z;Yz#5$HSgmN5x|j#HF;*#gcXveIcGuA;OoUnf2t=ia0Ari!sHp;G)PMmsrWgLXUkr z4AZsW&hHD%CYKw9s@<(W7kd#<4FTc5(+Bq#R^&2T^}bHkI`9`1k^A+cICx&vICpO} zT*`FfQw2d&RWZ(0ReRF2t~nV^F;w@c!~!lBRWSf;>z4i3 z_RKA}BmUSg<>i0_T>Fv&!Ms7$b6zMFE18@a$= zdeQstzVcen=`&@>#|WG(^qq8GdgpT!zK5KnUgU3I$B(81tH}XZ#BjV2P({hbeiF3B zVeeM>j+YaaQFcV|afpMM&l4_$@r`#N?cbf&il-VD)jGPFqvu%(O)MxVgu#iNktfBb zOTLl@o&B|(@mgAGs^ddjDWVEEg=gtQz)IQbb&BEsuFpW77#(x8r?JN(QThmYbOqsO z=9iESr>$uMRjFs2(bTM$aI%}HJ})tEip%BuJup5Y-nEkLG$)70{2liG!zCH3&_Xtq z$Wz+mgh)@s9NB^3RVDe|qxGGg7uMy6OIIf}ogRI`V*EXDN0BVXzA3;_M^cJ=V`uj1LsBqR1 z->(@ktviNPVKZ{>vh#Mc(z7|h&D^p(ucTurfGJqOB5b$vxYCLKa(rD*S4N;G*P;tQ zy1eG%!1LwUVT&P7T9!n@icY-r^uvV_lrL$ z!^k*Y6k$UW)qk?|x9AGG%z=nVNcD8~9`D|_t5z084AV&)3*_4J$uB0qC+wIGta2TB zc5XF5>T>5rPn$|H;`kyE)3MZtSM1L8xi|03bH$~w0SiuISk-~qS{`&cD% z-ftzX`ItPvZH?*Ulg|AUJh-2$!o+`LVY*Dx(u=pecO_qH8lWzK{{0LT`^VyFw$#L| z0JdJPf8!()^fyfy_B{gU$@ExSUKRrN^y6|Y$LPB2WSul#l)CSLe)PX@%v@hvUUM2% z1lzrHSop0=Ff7;Pu{WJN&$<$B9ITko(}**8h}dpz{nXCp1(er z3M0V^@g7%VIeFWQczkG$5~b}I#nYITHeJ51SG|J_{!ioq5lDrKQGlmo9)xNi`SI5k}Os5$(ynlRa; z-g!(%WETP#mX{mZC99Tf^&2~b`>h{81)&iD(12Ttm3{j{8+Ua83>53hyo3j4sP&D? zyi2K0%-)?b-)jP?$fFo{As%+-$Qs5WU><0?qKr0ld|+*!4oFu^B*G_I{;ll>1W5l0 z!ltlJHM~ndHZdWotz+9cnKSt}_nHCkwRXR4uuGXg+)hM)CKT z>_lP}o;v&KZQSjPp5XHL43j`r>w3p>7r<~z!z0C!gV}a!s!sNIpwk6RKl7dOpnH)W zUts$MdNg0IuaAn;Cv4qv7+ki)v&nkp#CZM2h-Ij>RPO3 z{)X4@dvo%^$U=#BExDdHkJ*v5z06YbW@V{pjpqa&$~w}7=QLv;66vnr%IvRjy8R|0 z?P|@)jT~!B+vd4#=ImafIq1S9G&9yntI3c|^sz0VsxoukDX}MIGaotjU2I`qKD^E0 zCguUmbE5+o9-KueJ!NxPpXz~7LU{ezU2IK5P0R5$gl;290H2@-n&}Q3j}yV2!|ghw z{S8!`biJ0R1>oSh@!n7ljLq#V^zf&-Cx`mNs6VVnP9F)}lgJUzm7SDnABzAm=h zXa;ck8wLi3|NcXA_Cr2okyAL?2*P(Jmi&>#<%IX2zkxDi{TAD8iBvlua};cKE~ggp zmTbZIek{jN%l#R_kH8{D=Sw*c_(k})A+8FYO!v?Z8K}8XeJshtmN{Srf^Dtzq>CI& zX;dtIzS^<{2p4wWc}1p2Tka_$7UfEr50uc!mte%k-%hn}>*T!Yd6giPb598Ba&%6?2o;TF*(5C&TkWE}}NxEF^5qD|G_l6+WJu%qs)f{?TsCnW`e8rm%@V-2#~p zkdtoVp8z~;uvt$#1qFSRmmPUr8XO9>$Iag|UgK7Hbw0s&--Bphnv0%xL-=JarUiqf zC%Det5Okxu{!w6YBZtz>uE;{ri~)FOnj-eY9+_j{Q}%tO8_4 z6sPX^%Cw5UXnMHtd62+-|4uH=9@s6bt+(tU-i9Af0vI#1)n%MqA4?abIR0@lF;;9$ zc-Fl<9jL6xYjzp&10JIHw|g}TZa3~T59W45Aj#eD@3BR6@kW1#Sr?d-SZMWyyL)pD zv7|lEY9k&fAh_cvc1$j4kUP?384D{WoyzyT*3nO0-5(s|hq|6ZAL>$#A@=7p*0EbB z9>)_8E12&1uFUaYd)ka_Edl-Q?#cUfppvUXI|RpW{68C!zfF^oNzKiL20EG{!c&_m z6KAcS(R55}QbtxUISs6Gj~7l(gMo&scZ^I(YJB5s<}yLrGME4`kBw^iN9}ocx4zDl zBPdRADbtJ}ngFQ|^FY)$o!+=H9^@U5ECZY8_juE#| z=gkv!?b$XMf*#>*VxRfWFaBf_jz^T5^rbffn;8?43BO9!j)js~vfXJ9m;jjQC# z=9C36uj9}%aO8f5A) z%q^0cO~-QTdC_C;p>K4_6m<>lzc9%L<=b0=xcD-#f}UB+I>RMhr889<5je24KA($67g_d|QdU^we-%Emt8z8taB(#H-89!+ zeL>9iBU60co%S31Dx9LR=4TZh$nDqVM{zlt;u>P%!>e$+luPzi=@Oyc?9j$%-t@P1 z?tfUzCArkTOUg=gcZPS$9V$8Ii@6yxxF@_A36V5jK;!h*m86@}~4=kG9IbKK#0jlo8 z<1L%pW4YkEOx&Epf(9%-3R@OE+~T#g*jA#%En5sKT>*ABrJdP~T;+G+tHaH9Tn(9=uqK8r4> z=wbxkGiSHsDI+s-Fx`d$#Xc)_Iorxt`}u19I=JscR5k+DPyUGA(xN)`j8~X3^c$uo zdyO^O@|{q}z}4Yo!mj~KauD)LpA;{3@Fq^D!TPLn(dW$r8wQ$=?ByjU{~L#7Y%~Qt z7Z|0fie=-8gKJG6xRqC@IpS^@902%X;BGPq-humuA8Jq1mP0D>c=~IdbQ#yiLSm37K6!FXp%>4`nSJV8&W|wtRST_sE zg)86~|L?zAzdOp?=p1QBM+RsV`L9lW=6#mOfFUaX-yc)suEGe{&}uyq&+c`2%tt4m z^$N?Gbge*PFlc631OLI1>$m}qMiR(TFbf~@{7}e(DYbe%FUSCs<%NOqDq8Ne`_=n> zp9kSaTibJ(ZU0iF*cI_3%d~l?_tB#2lF+OR(~*jjR&TENi1g@S z@r-8Zq9cFCJmowV!kJ!#Ikj0M$MCuo6ycv%anl?A~5zA<*)0*If zA1~!IqA&E@;9xO0ma}mTdy$m5FX@`dfG;HyK{d6LN&AJ)oU<-k5Y<;N%qOX@MBN-c zCZYHVJ;Fz>xi7ReH>r=E$u26-9vV`aTRxB|KLX*KZYl|nYe z8_G*VyWfZ(ipGb@UgVI2QcL`Z@A3T3OiUpTfYY(@82!KJ0h=44=j}x3{{=p=0Rt89 zSiwK-t}A9gZ7hu>RL6dCV4w?fqa;MpjTrA*{rqna{vTDCW8*ADSpg3(7KSVUp>d?I z-f2t82B88wIdxcu73`qEree*TEj6wO(v@v(7CXtp-KoDbfpfGgn|7w39ZQqe7Tz4H zEU0XCU~iiIo-jx24p$g6R}nNHF5nQ~=15=u8~hSpCh<$wltV<+0auS18{Q6ylx_Ve z)Y`#$+6fxGmAydnWoV47Bcq-9%=;6*=A;%9OYL?r=cqzvk1sQkm;@Mc$qsrAB9*7VEQs_(O}= zYyQ^3LPj6?z7&erhlyEapqygo<)s*!WIo!71|NDL5OzAk?DySbK)n}*>-_8?k#i{Nr%R>t3s#n91Q zuIK4;{Zbp%5>h&uiD1_5ahXm$lm3#&tK6orLSW%xNqKHJjGu-jo~1IQ=HfWrLtvq( zq~!|>SF`PSb*`fF;vbz1qQWtUrLn2}2_Vm8#s7`G-+Bb#@JvIuU zovmwZ1U< zo!^rw?NTFn2S4;`*XCUQ<(RJAh@}4P^wj?SoX+C+3{L+`^slW4NRv8eSm}oSo15UT z5j*n7ZI^d}mLB{I$}1`QwwbW8Ti@-@OV&-md4S}x3~Ma>nr!OrVl~kILDcEd2|fFM zFP@e~7pH%EHL5@=Hask*uV*fOcYxuSlw|!6xQht~N&P;nn5I;y^Bs?&Ic@BJ+}6{4 zUf^rWNPq3IO%dU92iKRo;uZ^V+r_#g!S+=>U>E%UgfQCSQfWtbBt_TQP<%R!2p^AP zBnkmU^=kC*mGdGkhCy6*N}eusKMz_wIv;#^X8L1aZbsr3Pa6Y?FdLnz82O=76^6e5 z4ycw;3|+o+dghE_=tb^ChIprlxz0B+ND_1jQ#Efox>S*wdFTwMjS?mBC@Y}DWJLG+} zU%e&56-V|C280Q6dg{G-&5#qtS}nXu)Rnrx0bpwHz?4Bss{4J>V2fF((i_!h|8x&I z7CPz=v+T`BHs}_)*>|-+j=enw+eP9!Qwx<&vrC(D?4P1bYRU%r*0(Wy*8_tfTH$GE-cgnXGM0b#OdN z1QO>XCLL(O(T{LE#SQ=ZDUp43qEZ{CM^ekc&qRFE(>s2Rf-JDdfBE2%Ac{&$va+5i zi9aWC7v+ahQ0t!EYVTGMOtcW7nU9F#rphcg~ZVM&&VDC21f7S zoY6tfzq2Y5lD8@TP!p(1xz&x5L(7vDmhFC1k0Co)>KX;YskXji74sdNK#)#2zeg%2Z0DYwcuR*&kNG;NcU5L|%S{DGB4dT|iwlZ7 zBP!u_Wu%&9<7s7K<=;@fwYQOM*x|nj$BTY_FiA{OmzJ?}O!j>)X9MXKv?V9#79MoY zB{{Z?SJis;GdKVzyPb*Ol{I;G)rbjukM$LNO}c;nOR5{?zR7-S4Z`b<{85@3`b1S_ z>EFQ=SM)F$$YkX}l#Q|{x`?qbbAPihX@t52jiI&_5sPG@GrUvxNA;QcEtC3Kdf9O; z-GZ2cA;X>B`})0M2_SH-za)jwmu!ix!SnQ$xJU1fP^U1Sx}~6^LnDV0!@B4YyL}l= zmL3J?OfJub3^!0v+4c63*Uq%@<4|8t&9~F_qEwPE0^96eZ^*dHHIzjlv zpe<7RqUNf&<=-3`g6Rnt3&KXm#*U7qo>l?=oYa3cEmT?1HG`W$_;8K=|8x_jDh3C~ z_uOVt3FRsJR`V&GYr@lsg_Q%xib&^`xYp^V3D9mZeYagiPN*JoX=acl}` zYZb4X?(4&Q-gaN(;~u~??HzaYv7$S6a~HgWygAzJ&8-eQeZq$6jTar6e(qnd5p?tY zjAxp`K?*XcEY_o#b|*OZbRYE=~hnz}gQCmED7-st_?^hYzcH2ztPo5pH8 zmFz*bG;sLD%a~eNS|wy^=6xi(W=mha7vEQ;RM@~_{x&vfHuAgPX3;-_y1tXz0mc!W z>ZjgdvHMNZtf-~>9upk{r+=f^srK?a={&4=eLmx7UO7sExtSxQP+*_4`Nhy5(=5>2 zs89f9vb=mYS??@ZwbnM$SR>eeBgq@=fSXrY*mv;vf!~`wOqGa*;fvKzR*{Ud*D)i* z!%*+kz*fIw7WwwQ?Y@HA9umP5d8@-RcX^S>(poT?gfj)X*zB9JND+Qpb9N3)Pk+fd2tJtM_X9%jZU zu%5L6&*|#KTG&S+-Ry4@qh(FPiXQ20M^PUHc~ejCa9{)TYq}ktWX2K_FRu^BOa4Aw zz--Gt5>b+j1wu7CYnbDtu#tkjcO_akbmIipygU0RgRz*9$uduTmSA1u@r4b}^XyVx z!CG8K*}adlD0FoFeDh6^{!<6>sts`+9n4a-h?FA2)>hBCx(m95X;Q) z_iJuV5&%6Gx!C3*K>%8uKKLW{Wh0bLl$T{y zc7Jv4eP3F69qotWykU`Njs13pYLVmXjr^XB0kc`+Owqf?e>Dmqf@Z6N~_SoBE6V#Awjgn|^SWRs(m zCg_seLctKjJJ5LX&Fi7-7Op5O%bAIRaKp+qi!JyS|CXNee zVYyhSKuQlPiYtdISnQbi3BN7mvTPaJekS8}7FcL32r4e5NzD=HEg0^b^J*IIKIRi` zRZ`LOX2y0+{$-r#biq^IB3CIQ#BTg+Jt^|EX7W_*~!HQ^?8_O_W zfeg}F=BE=~=IaYrj=q)@!t(JxC*(ZsOYU+3_v=J?Vs>`+C#V7CKz~0#MpiHHfo`}> zkKoZ@h#N8#BwKw^FATVH!+I-<5Y@gV7d`p$LbV7B1siTw6dbe+6xrLsWq zGYl;}!Z^jOpR4-m$~4E1Sx9tl3=)oX&Qu@b?`BFP{O!d^uuk%YVxA z$HKd;r{GWH zd?p4+Z!;yGM1nZv&+_ybsS2Aic#HLkzv1lesB-C21^obC_%hJvEc!{quX!^NeOg zn(-_#5LiwSvf%I78waW7p3m^8+a zRPAV_y4PJ8T8Tm8`L#m8F*NSr?e@%Nm|vE>g5kFp@x;5Wpj;vw`H^5~JI!2XW-fZc zwHkUgG|9UTiXHxsO>R4jW1-}2k3ZQTb9#&S z-jF5^Us0}GNWY)UfDSt}@~G&8Qdg)l6C|#TZ?u)x_`PycZ%(dU8jv;aw1iNw0;C#e z%hFn$j8&)2W1+|x^-gBtY~#^2F`3>@RY_MyM^Q(kb1h_Do?>c7*{=v*!@l)*f>y0T z1@BZQ2i0YGASu0=X%dq9)R}R_7zvvzz57`H(~|7DXL+SyM}}HXosPlG}mrTg#&|QU0lNm2idV3u#GJN2C7c z1#@EQ0)1DRb1joFWq4HzuqSfN0%G_VEnD|yPn_xEP*Io)G+*ESMKKfHP03znN&!!` z=ONan4|%kVc&yC(%MujU$i{e|_3i0bN#mv|{w#zcWdjjiTg~HBkFWJiNs|>ceB71!yDLk|`L1r`EmzqGfAY~$HPMN6 z|KyV_ayhIySzeUMN_ozCsOZGFZgVWgWP6M#cmP43B$DK}$K3XHl&Bv;Y0ZPW%=K8q}QyF3# z@_o8~mlfC5wPA9;4EbhawKwj!@O`q-n88(c6%NVw;e}(^jz7s=&g<7+q3wY*+PtMB zqwEid2P-AhcWGZ}#1xy&HcWroN{w?qWNyU0Gn|@LmLpxp)XOe5zV$`0PjfgA4v(2{ z2Nvg)hBF)jm5Gi;D;$(hK^5cc$a0C?RdXZ9%mWIn3h* zF|EqiScOxqW>;R#s!|{VTXwCQc^b{#Lz4T*5OK`ydc8)>dMn^r9H@i*RBU3PERzN67a8!+Ki!v zbF35URpsTfUXo@vPp-hH=RsA+#%YTDxlYjDtG-kbF?{*kTCMh?tPMU}P$gi@@6Z3M z{r>qfl4mD>2s&A6TP`#3E?#<4wf5VQe{e^o?yA*NMXicU0B@VykD&=L9%ZS3jH-tT zS93S5#lmtbLJ}KTx4Th~8Sr-jX*u@t9~8d2FrKaJ>y>`&z(;%&b5mgHPYw%9{#{*u z>uP6uoJU^(8JgJ!PM=TVIr}f$u&lPk^#pGu?~(`X>vuP?T^hO0VKu+?gmuiWF3sk` zK|&r14jLaiMSj;w^)=|WGP`{e0ujJd0MEOUp9t$GgH$UK&i%3zrD8=T|C2S+`F=Hn z(4gN=7k&m|tC3z>)}Dj+N2Bhhi^PmiZbCQru8rK~z>@>x$ff9t%E2bt+!=+BOl4uo z{^+^6`^QHBi1#FS4%?c*%^<=9NCaeHUaL%B?s#^3w4`3^RxJ>rYbtbTFt;BzdO6Y8 zt#mC&?s{A$>YsbHN&~c&X-(8h%5?mkR6tE?zzzW5B4cP{3p( zcV%HP5d+Zk&ov9w$8Hry8A zAS%e`YsA+$N~7BUa9ouw*5Kuf`@~GdQ90Lhcu)H8uYqOEmM#z2V9q|B5$eY|O8AQ|AGlw!}qEpoB zwL&j=F_W{0LbYhL23$Q|lSPrfuVO?;ek&l%Z)+w|bx<_FHpIyGbmA zE0toUE?;)80Rd~EJfpL9fDm474}3*4It}bP_M%U)^ONVN^oUNE^*3MZCW722OTU*M z=>X^K`RV?NnC7mBeg|ONcu|n~qQ~ajha#4OnCK5chBu^gox;(z!~^OF{L6$!!SV)k zmyPk{SL;&Gt2iDbb1kPP6R#u9J_gsJd71=B=8S*o(;P+9(bWx9qubekNF%aK^6IAY zRs<3m`qMhIlg8H~;=o_v_Vb?)b&FG?kv9`T05f@UuKY>UUTV6c6O>TNj&Ye9p|P(H zVet*rXeDMmV|?-f#ze~r8uL|GG%Tzw@m{+mW2Q=2Ko_3>jIq_J^_p=5R5C>$@i)SP z&8S^Vzj08WX;w{_%k~Xoi~YWIXsL>E{d8L0Qt<0OP(15s*6cA9%K6lT@Jvb=-rfUW zjNFO>@o9vFqgDD<7xcepazC)>`{75}7hv;qO~%aT8sY1JDWlU6T~@M@rDer8Nm zl)Up=#>SI|C$ztSqidkGyOkm}KYrMRPkWH}gMN&MTyqG4Kcn~`)m`H{6@SzW0bjT4 zs!I5xYXjFIWM?$xCpyPv#3I?7NPzvM`O?t_d!R8=NqVu2_WbxS>5--f&8AE{3@RxJc&Ok7OaGGCYzFvV784 z|2R#s*qD*^|9%n;{ar=KoIS?p1z~qjaI)N?!_8jrmp_|ozw&s$oI#589wd@phxc1p zTRE`M$d^`jmAG(mzjryWSf%~+j)S6_Re`a42~~^ikOR=kP||OXz>`+nKg5}Bu>qD) zlh5x-nPtX(eOpD&EBe$oU4+W)Elu*!!Je(ESc~E))2>^>rIC-cv$sqkhelTPmYY#b z_c3Kxp9&QwD#iG^Vtzrzwmvdqtz>N2fWZW{%%o--@%Ct;H=m_drOoDe{3@y=|CDaf50=LQ}tf$hP5f70kx^W zt-*3`$-=HXg}~5AC3vkm-HgpAWoy z&WqD~doXj%*&ZbWTrk}=zY9xRO_vi~mCU&$32xU2q z74$n5zFGFAijB-ef4f20bvr09x*E?d{<$kgLUK-S{ct+&eHR^1o_j0mc^OhExXlYm zd+Gju0QkQzqHS}!;SYy0c-I&#H+3BYw>PGR(uZcyMb1cuB zU=)+R-CDz^(oaw7gny_uBh_`-cxKH<5^&XDAy5GMi3VT-3;p$3TpgO4|FMD^W0|^p z?OCtd0@7=#DSXHnvdfQYV!z}aIWIY@oKeqqt;GXrHGld}td0Nt}-YFS$L= zRM-F>&&7752>8_WvAT=Itec>s6?|sKrb88%s~72WuVr&z zYV_X=$`!a$9OLGL>d3e>TvqEysUW7*+)IpyV&gK zd5y708(UtKPKwLIp)rivE3W6nDC@4m28FH9|1u8r4Wnb`YiG4)OAk3`GWZL4VaBGf zv=U~@_;^vOq(|{)2xz>n#^<=_&+#HQY~nv_Zymr7Dg!RjsewxI?-`*6_%}+<=6YT}NypJ;tyqS&-OR6?Fm*^mGyBv|P|mvUcfOx% zR4#?VnFNfAtH1Zm?+!pG#5$xQbW&Z<3C$#wn92eJ9&Vod{u6+e`Adt zm7=vdtg@B`5J|Lrsbdu3>!vo=Xbs#SPFizD4Gd$6r&sm2xT{_nn5zPvB=XVZts7mN z#|jyKW=i$z51`q^NJ`gX;Z@!j!X|0e!tzHSz4>%Vj@W)z;*U)9vUyKXNH&%907>xo zz(5N#Hb%aV!0aM`zh=f{s8A{7;Tv*As(P}km00L8W4oC<@x(_~@tV4lYBH37fUfv+ zKZdSF`>6g_oZM?UJU_j?csg+JAdms4Bt!~y z@Y%Ql_;iJ=8upFXUAOXz-{+X!npGsvo>nJ#^X?Nwnqa~|=SUwdnL2(jUjhlrOpG_^ z9xo5K!BF_oKfW@$Ml~L{4`(_vh($Bd%!WOFm4hA(>-hiTFdUH=IoJ&h&*5Pl?|+@D z-&NF{`RNkR4##Vd{_c#UzMhd2)Ka?U2Wd;0t>-q;+eDSSY5*K%-+%})v>r;wd%IVF zA_T0TC&+k%A)-)Z(|Y;Z+1J*~bLCy~(4sGMxHDqLBmXzHyfyKQ&v}$7Bd0_ZhQ2{oQJ&cOvVQ0Na<0=+ynY@&I}bNFz|*v%W>8+=fx2P`}x! zd6kh)BIyN<;F@r|RzR&dz>uhcP?^<`^ zKSoqFCO1~C%-MVE_c5-!-M!1qf+WH&U6`<@)Z}j@SL0lOE{~0?N&l}89d^|ro-G!% z)foh*Vv45!?Tr;NKWT`)ahMh)CL?h=M_Lj-HDruGR$joA;U9hUfcjr<8(Ze-p=S)- zP%btr5dfqGw)PIC=%M}V-0{tP`=cg0&1Uob?yu&Aoc>gI)U|pL_*@@iEyGF1!@kvP zAun8x7FV3$+XQ|a?TI{{V+U)Ev?yTvrJ;sa%=Ejz@Av)K!f$izTr432L$H7=zhhy^ z_9ZlWG;cT+e;@oIv=n-%ut7PDr}ST-{~G~q($V9MB$7-Pc27MNRgkxFLGf7p@r92+ zUljcM#A3@#USApGWt;X1Zg{?P(6Yy3hQo&=c3B+Vfszy+AZGlF$Z-GK{vI!j4#~oH z$M`k!@PJul`AzR&)7h%xu+dz&poOIcTT?cD6P;K4%x@NOR(sD$rC5|TG&rT`rFT`Y z0~=S&@5(iYMvaYf-E5IH+o*DG_&!St(AL6^hXfA}Ev6m1~w;X2FHZ%qbLY;o0fWuqj3X z+r7pYx`QJ<&o2}o4L}Qxec&o)fZ4PGlaB!?xX2!Bcji=+czHP5KBRebDWMO$tC9I!Dy) z{Ww5fo{KEd#FsLngs@qUn4XMYrHj^lkM3sxj)K4^I`MxlvF8DAvfFpJeSLLkN3U|v zco6Qq5Hs;68k0x-efZVqPl>g3o6pEtM6a_*)`kPV`Wi450F}AcNlT&#+S1oGM;)=# zrcLTIy(TfG>5Yq-A(&CK|k9 z!u0Omu!fh@ZQW?p>jqO!)z_Br3NCISm1rqwH??*5d7H>xy@4N4gEq)x3p99?u9DNslkj_Q|A2@HOsQGwMw~3x7@5 z1W1tlBbXXQKnac0*Om?`$o_XDe6vOFu|1*d(3=%*p|oPBi0MZ;ANL((2OFnrMKsjr z5E@*;|0FKVV87(p{r$Q;6Gs=|V`JInJ^givM-;x)p7hSNmv^+=BFpUczNX!YO7a@c zSFJFK;`dx~Dt1uzH#luZu5&*{{dY7qR!!pUw;Tq@=KFMt22rl(w!J{%_G&2oIO)f4 z`rcH9p}dJ=8?iRyq zazBbnT#x8xgkO-+xig(TB^*~62P zlfgCkH;xvIS@!89+eQEILSql)C&#=iHvALt1GtIOS=P{{=n@?Pk^gwBOx0ETy_#%$ z>di-M!-oXIo%gXJLXaKcD$2 zda3EexQOXC*z_1tWAi}ywbdQX&HMuGXwQN0{wdE}s?}qoCWoHTOpzDM4X9U>HG)@1 zvsL0ZUvvFFr#D0aVsSmtlJ{L;F{o%{SQ0r_E(HIrDO4;0r#MG>icSPbo zZ_f`kHyGQ?8XLGsczxa(jOXZAdXJTV*7H^y>)Bu@#N<>hil!QCxX5pP>y$0pbhdwx zj>&C@aNV3)%zPlzxHud2yrK~P=GgAO5L0pE7r$+vE+_eYY38mfB;;kLhTq7)a(nmK zlf~z*tUM1c#0C2{zos}XKBf!U%pD%&IeYsy^>Qyq32u-ql{YyZ$5vN~=6uU7M)Ryk zd-Gf8V#SSXIjSUGy8O05Hy8&=+i(!e$>{F? z5^K=ksQ!y9cLmG<+wO<*vr%} zMDoUc!01nHZh#8SX?N|}x7-n3j4dnGpqAu0=X@nZakMnG+Lv$*Im3@n>RV4=L%Qnf ztQ+{pKid$Emi$v*Ih5rmf4E!&$J8zlOAlbd7hEtlf_VKWRakRl^k1Zypw& za~l~4SS`=q?Rgc$E8?Njnzl<0zF}Duuu$<$UJ@)qu zp~IoO=dU6G;`(&`)1tF$S#o$nK8=8n08t4ds_0rBbflt1Q_q_v2MFL|ixmYu?9! zy-QYBw_wunFWvps=9gwf;DvQf8A(E3=m2m9qMJkUizHuKEsU`;ZEKj2<0h&CR?$D5 znY0>a!|{X(D%0#7lR)zg4L&XXl$vSK746Lq$hXr#*D1imn)^vY{jQW`2?)@end~_% z{FSe1xls=c1>_g&z`Vyr;{iwiYIF<`lS#~4{4XfEJnIhdcYYC)?(LoY*~ZdX-tPCQ zr>5_nqrnXkz`ZZlS&;Q3hm5R(%BFe$msvDzqM9wYO1c9^L)F)_vWg7Ltc<|E<`CK3}f2d-D# zhek#QKvndvC$@7veX^~w4k6NX=Mu!uqAHlEuiXHU-L%L zy%*jde~^Cl3iHCrxo>9drqFN1g`)lc@%5Hbbp=b*APFH#AihYA?(Xgu zf`nkf9fG^N2Y0t%7k78L$TWHH&6;o4toa4&%DH_`cUSM)wX3SrL)Ke>SZDCc@ytxq z1ubIwi>1yhonz3hI$E}*nzCvz>M#);;lA7=-CY96Qk>&CyVH%tpgVo^NmL8XwP4n~ zXwM%2ROqIa_9*ukQ!pd%sd#qOl0i3;*9UDF?vIigaPd;%Y+wp7c%p~fX$e(it=2Os6 zX2et*hRnI}0j)_$EmNi}_MkdVL6u{P=)z`r?~^~^nV-X1rZeJ@>;#(TGSdbZ%cuIy4Bp&zU({GPl|Nr|>>sO)46YA&{ z2Guq9whlwz>}Yfrtt5gtt~MShya`Q zf8XGJ#a(ylW#RMh7fo$IAmYIc^*=v-8}=^c^8b4*k6*qG12^*TYbEg+P6T#Kh9`@P zC1fH7<Ch(HzyvzwzQM#9!)6Ckdx1ZkKz%eQ&T1Hy_wr>_hVjmEZ z2zUpJzjxnPyE1>Fif)!~8XIHm>(eYQe*B#|c2|;=JEhgfcb5;98!%&{n#yheGq4F^ z-@$)?Y>D}FHP4vwCCh8zM=%<`e-ec#SOT}%gI z?8>7KQk<&2moL@E6DinY-`igxz1*TD>&aDJe3`lScO^#2Z=a8BX*6nr&OlsZPqwKN zM6OHf1$adC&xbPbI0(fREqRJ?C)e-ZH*GJ?mG;$7w`at+*uGIZ6o`nA45+H3Y?_0e zOjeF!VQ<;6umvN>7J2C4O6=B^0aZ5~V60jK;(?!@6T)|q)gEe}<6_KPjq|FgIzg@62K{WKbOU9&e&NS?(ODdE5V zni;I=6|z>y_nfJ!U0v&6c-z&3LT%ARk{YuDXL`YfIeeSbYT3}_&sDV~T1?dObdfNi z6(k+MP!ifZDww*ti4ZfGTwm2GKwCb4xN>v05*dy?A@-VaolN_k8`oM9^D8c5Xyo8N zE)lEj@XX-(u=+sr`l&H!+nwdWe<(ES))xyjhm4s4yc=EqdmQh3>YK=GZRq_WyBH+l z-qkTXq;fho4DW3oa{-=MgPFS@$I#Ku9nR%R9vK_cUjz|l)#{ju0rL$>tQ*yh$3^M^ zy5{=$w57KcX*y6)(5wvF97e|7#_8NG{+S<$Y6_70w6sr&H~%j^Dtc<6aTo4zC@Cl> z5pvjaihc8~696Fs7DYHh&HN4llyxQl(Q|n^Rh>RtLqpa(+zbAUfjW6NDb5UZmFvP2wUYZ%4 zA*ZGz|Mh;16|@S+_)4dpT{0Nrvj0S+k7}(UQbs*&cmqg@;YidbFj6kP;2jAGjX=#p zL~O=2FN?khwErB(Ak<*fTCf^PI9;(a-17HyRlWY28DYuBm8?j}{f8$lzU6+we8XuI zy;A9^Gn~ZFSoibhRP$MQK-%j@0Bnv zx@Y=cde66^;CPiM0+CuSp?_K)kxWC<(s}8FDckq?oB>y(4COn9; zVAX7M(8j21@A;eUfrho$KbX3#n!gBnzJfbN@;z-GQv1n4c+fnU1&Cgrk3vng~>1ar~*kgfk z1W3TW0b6RZFxcBepOz`!yfi>dMM6bN2=F3Po?iMy>gNy6=kq^<^*Z*fOh&92`FU^u zX+bvnB%n8EoIv`KXw0Kt9SU4As-4D%N&11?3nu`=TwoQ1dDBkBZ(oS(jI~9tp>v(n zcsvg3v=!pqz)9)r24`j`S6^u=ZoZ=DV}N>*!MB{s~q?A*AYd?>=ef9Wr9B-x{~^wASxNqAHgZqj&u-Q-Ij<0pQhLdt~LFFg+>|xkXkk5jBcW*wg=8$EXNFW|} zj_q=d@Y8m9+6~`)wk*v5oa^!7RAnJ7a8wep@O-15w#+Y#jgIW!cMG>a{HsVb4-bg3 zaX|MoGFDJf(iT-Nt{TBBH`(Cg#?ZHRiQS81y+;iYAZ~4+yq*LJx9?tRK5;@}#DeXz zCk!w2Zz&l4^`!iH>J;g`S#zqt)|;xcX^w0->;G9W8HlBhd#kBG8liu(*+)niocVs( z*d)G)CE__c?zVb*uK8k)PEe+$I-bw{MJZ#kVE4@hm&hO~6IoT41M1jmDeJh>%M&>N zs!Ed`T~U+xsPvPqr#mtKBv#-6{ZV@T@2qb87^}w!^2pG*@!xW|s;1`==?pbD{EeR= zW+V-xcXQLpE|CyX&*tlSQ5zk{@2dGq_<*ZxR6OiH#Nt)Ru&$cO(;2_4LVVJ&s3Z3# zB?<5W;2a>HmML*;8s;JY3Gp>gV5fSsy)#v0X4V7plG#+Z6euD!l=~Jk@i?4SL9)YQ z_@R!)A824R+{v%&ukfZUpTS<>qtk3?_uke@Q~DYJ%3Gx8rL_)NdF51BAzbRADxb7s z4M+snqBu$st-(Kv)>RFWypo%I>Rde(GapAqe^x@m$G$p=qb+z9e zc`hL#!E?1oZ8|q&P0#3W#hd!p@SXj6{o`{439=Js;z)R$enI^B{%8B5M^%aDf6HPE zlkln^E=Yc>A1XwGzF$I$EExe5ZW=uANBFIv*@ELjVw+V=%_?&{Y+ z{0E{kSQn=zXZB3n6Td;s5rt>Q5y1@tPaIL9{Hc~5_}{()Iloda?IAlwSBPV_L2S0% z1R#<02F8Yplh`-)hXQD4u2#8S(CRjKn@q>-f_et%4Qo?RDhd)qxbPn}*$H*ZRLLch z3m}43zSDs(2^IVOwQhv)nj$giGQvb@8p%WB`tV!*`hS3JBi>4^{396li3MC8gOwK> zU{moDXMb`S+S<74avIgsx2PN3{U3Ri7yrwvWcio0IQE^YziD*jIX$kydnzhYWH?+s zgD<^XX;`lSKt38G$7gc`Ne?-fSz7*FcWL7cbv65lW{pOAodtw`|@c90YlV zL2qzlR*a1h{#1s091}ts`ffnpc|3bPF9;(90=XJh^r+=tchXxVxjBEZwmjz?D*J5j zIIGfA3cimW|EPTiXHGj9HRQt4*9nV4oE+r`IThCj?M_jlIr{p?b3++`JRhql+PNKp z#N10NN)o)uZd6#l>LB7~$90eV0>K}p=_%y#tfoqNylAxeG@Pcz=D-krltMth z>d=KY(1o$FZ@%4$>z^)&Y?#Q|UEx=l3X|$LFui;ZSaR_)$HVHYPnd0y6V*iAH9s6S z4-{02L4o`?HUDCUJY4bN)KaUvrXj`E&oK|V z+ot5h*zXc4cJkC7?JIEl`v2#WY5IU{smC-|(-)W^wM2S&>X&DT#SD7FRohKfCG%Bj z0dB+zlQoc2(k4j&&x4Gz;2meAs>1BA7^Q(4^7MR~O;dy4vW;P){V)E=OQ~(E<3n5? zW)SkZAGE3uRx-lTq5?)v%NYcu)GEYa2v1uJHoNYy+K6@InGL=9YF`*H9rXMuw)pFM zHUDOJcYEiPQJeI~bykMAZ(kMROs=~+GrbC1UtTRBW`+bkCh!=rBMZAluXs$f>wm5a zXym_+14b*~{NdH3V8~^eN)}R~!f|SWQ_D#eU5AT5oD%uXo#{dX&z#zoB_0QR$=IlK z5LV_34HQuOikc_yACpa1=Yk++@e0Hyo=;l^*qsh>^CX-UgP|Q2@3t;AbN?-eErFrk z5xQOC<136lx4x>`Zem3dLmBgy=6lmb(u7I*`e{1xho?VZ|9nmCj`5B%{ljmxyr;xX zPTREhV{Rgc9xc2W7;Tm!-k$}an@QXW@pX2Kz3lUQO^3X&yM+flJ{P;N2m#eqy z1p-3dE3&O+9ax~QZrp`O?_98ReS@h4^o4(}=0;`pm^$q?G%i9;?&}_*_71DvqES5NuJ>*w;A6nFjiwEI^v6y?KAK??*+;zis8rxZ4nSnjA;V zKNA9wz>mJ~hTGPU1d0Vd9%~9~Ijj);P6$Hh-l;3U*B>DXV;!3|ke!|tJX|Q?u%@I5 z&&?E1Dv}TjCgR~vw5rymDbr98epA#7TVk6uRaDG=j^luCA;0J+S6?mR@YgZgM^?rb@aEZvA7t14{?jkyRgOActMrd8F(QOx@2t zCS!hIiA(x@WU$+`;23@gfTULbX;qJj#8`28-JE!JQJ7wL?pG~v-M(i*!@x*!V>Lg^ z=dj=3Gr_aFsiUc&UTdfC5V((cR<&4;wNo&Z8kJBi6B{3G$4a*Ub&;2Xjo3eIgT@FJ z4yjeL)!ja`skF?kt7Q6jKlxY|A;Nl4ZbgyD-T%Obmkf_H4%PmMg>P zRv`6Q%g%KlFJIo8f`Ndj;}jhY1<6}UK`Dg8BJd<&W^P7TU-`@}xGKw(Ob@7B^K_4j zcZ5!gDoCp#Bh&Xy10&MWzeL5R)Ga-j@A_2lBuf|Dt0DQ79YOl zT;yL?v~0psV|0I)4A<89o1T^F4g{6BJYC(yjUYa!J6qv%jpN7Xe{C!p#XB%G|FS(mlcR=FM#BkWD^@d@oRdMSb1J48DB2QNB#3yB z!pqJN`H~tBO1ov}uvgDHan@nP53s`DZO{BcC-Km@KoDTmS?5JeXi3dTb;^h+QpuZp z1txl>x5rSA?^-PLol%#(K#f7I`n8ABTjA?YBy+-Kre@^OY?@*~lk8h!XtoEHmk9p^S^lZP7 ziExa^crdh`$#owdDYdChNl$C@jL`0<#C$+^M}_6IOntR^?y>BjkY6v0=aDj8ns6Ft za^Mv=vaxV+Mw+U4OB^gD3>}fY@Yz&W4h3Ew-;!qKqCl$^6J8~asUrs^#v_Hfa5FK| z9Lvpn9!ol*?zW~a<2VF5q263nC#VI(QACTqeiIZr4rYiScB$J%zS`SAY}9>EBDm8| zlA%)Jg1f+3*(%g;{!q_cP=I=gyfcxF0H5zKAj8#vz79(C9;pk>P)E02aeekXzvno*{S!$DyfbYY9cOFRI|7pp{?462aTP5 zIu0hga`s&@gA161>9S(1UzJ|UIOekz6stX`H%e}92wpn2I76=LI^HGz8YtA7j{R#X za#?+KZF~UKLv>GI`}w@1?S=K%@WJIC7Q}Pa8+DIX1mEfsyft$zyDd1z>0jbCpULK4 z!$kX3>4qCp@2!>w$K`rGz~D~a zUE&X-=K!1iM0#2R<}@=#;C6oSzB*l8Q3E?*E>;Ubn}6_X?EUNXyAs z8Yy~~ZC{^?_gZ3LPl2Rh%-`a&hN`Kxrbs`ckom%Ea<;%#Eu7sN(Hpd}o6KbwRQ2IE`!ei#+FPWEkW@034GkY;mB z6X0R@f0K(%`HDzsf_+o*Wo#lagma?X8-EMev0nqVRAfbryK$dirL>{(Oo@n%$Uf|(YPg;cjN zc$%uyeC~uLxni**LUFMnsx{{N`C(e z$??h4Hb_6O?Pi~nma1yJ*V=5mDmB|D_AqD1efpUh)2uOx=If;7%g0kwGUD=|EwwIZ zS{pP}P_}3Dwb^~TB{LTY&cYacFVFsVm%oW97Y@B{P~N`Use{JqJv^(T`VN@Id@0kE z(S55nA8Lg%!vJ#Uf&xr2C3tCda5@fDM1HlOA9M4!n#WPzj!|#>_!CXYx$(Mzu(%kD z8hv*;Y!-hZN)fh<8hGt;(ebtQ92{HE~ z?B|nYRp~4rcrSde-Wv_!Jn&{QEiTWbvfsO5|B6U>J^z*=7~m=%e9o$=5M z#hnW*m@y9O`u;A4j#p@+`>c#9yKZ&a1+|X%M*O(`o|+$a$$7(QeD4WWcaJ+xHq|xJ z{nMzS^fE-sXmV?6$L(@4Y56w zQmyrJb9kJ{nNw{v&yn=Z9zDzSzlQ(6)X{4`;Dd6imVE=H zyC8Z=dHC+@#8eB**Jk&yQ3wX(R)*D+QYKb|DVWuf7%Hy=XBG;G=gCkhD3zgNmSo6N z)md}@cr#sP#hWhuTM|mhgZfz~EyACrOVSUjmJ=7@zkbY+ZCAka~FFP zq3q*i8BR_tWPj3Db0}zNGG&_5D`*d8DA3H68N+JGCDs$KLI0I|U5ACal9s-QY)Ptd zn>R!PChoHZbQoRFZyOJB%%q;_T9}Gxd9l)jyuGrVBOM4q?Bnb}smebX@L3+jYFT;K z?#c7aJ1g+X_|0TaQAtpJGD_ACRO8yYdxrw;mMa}Qayn&Wc)S&_7AK3Rxh#joE`X`) zv()*RqRD>|8%0##i-#xx)34~aL9g){R;1H@?S15Fff>=>zVk zrDmJV1HrYQ7@bh2Y_7a)O$2FuShzI(V40s7sZOBEd~@Wt@Mby!$80tgoS5}@9dfxx zqn3}wWuj+0qnOce}67ET=OY`CSfx87O6BMbKVxYAHYMQ7JZ8QU3P>2nb0H z7(dFTMLo2n?5hTzduS4`qSRub0iJ*ks-S*UxKfyMe8b3K_E)KxnjX%NuQlIqakNIQ z`vhrSi-eLC-R$dR^_N4h3+A~?f|ZRxjdeVQ?e$Ge>x;1k%+OoYv;wvIUC>8@h-f){ zz7{{YESyMFVZqwb);V9fjX1p)8_g%nkDZ6$ATBYUN5SiX*+1HSor6-E0*!`X#)sfM zKgx-MK4fh`y--}f_eN?eN%wMHWN2th;eU_EpG;agH?uf#VRf+~cI7W{ttE;&fxP3jH0pXRQ@Az(=de4ymo#pzQ=wp|$;}b>Zot2i*oemE} z%O@|ay5!ogJ7>E!q=dgT^~DVDDdYP+RZ>G$w|KaNxcE6^19|$G!2~8#?sn%xS4*1Y zypjHT>179ksY_jqm3Nq^lv1pJv*tSfb2vJr>RLAAMLYSI$A^*8$@~FI0pq2Xw9T+v z5{DHY5=aoxXv;MCOR)=IIfK@j$0e{U`U9}amo&3b4ix$<^H%%NLGgysx`7*1fEvS- zl|GluG~^vx4xf3RPX@vUlH8HhL)vP_f~t5MQbK)PEgeZ&-GAyO7fD!G(_KTGD)#~G ze0l8r(S`oeOMF7&fnO+orsB#KT)F2yt5iY4PMykZL>wsDy9{e)?&B07@}-C=OM5aE zV@RXgkPNB_b1)Z3$*OWtR}*}=ktBY@i?0AB0-lbYj=BDis%X+Tu|>qp%*jKbZ5_zc zIoxG=kB-`(Zq-6_2*4O07Xol$3MJmE*e-G8snj*fRuK2b*WKE1{n}ci*=U5;Hu9r^ zgV&dW@4pAIDqATA?*Z}(Kvz>KAsqr*u?ch-w>$%3LYDMXb1=RivBTxtho}4Hyfa=q z#MBQwKLX2$92yr?cwu@8HwyHJM*yPLU3=WK-daKF_c(2R7N@PcCOWWq7kA86tGzew z&-*#K9*=yJ(H|SPrK^kq#ex+Z0w2hpyH4br_xFt!0gbRSbotT8;zJ|)uhmw;+CDZh zqUS-7tvF?XOb80IIHU44exMl;kK?&u&OXJ-+m4Tm$I3Xxax(-E$ICCP4qHnq1@5z$ zD#u1P+16H+Wr;Jm;)5qf*NynT2B!B!A=g0g*&0;i5q~_WMl@oA=g{Zv7k(>>&evE= zGoW80M&t{pK&%CPJg->4GEbL)5C7&;R7Ff(D7fMan=@VcyQKX~2O zIs4+dK>4<~h)clZjsL*(6-RxX8BOUoNC>DAzXXS8CD-xA@-#xl4Z4QZ)L%-Gl2RiB z3YTNTTHDl!e&DcJQ#x0E%=3VE%}lgQshmZ3y|jKO^?{3UupD(+JybmFx3nm_8md2Q zUI%UnbuZ%&zT1ESm9qGyAIdk)W0j5klvQh$h&*@4PE!Y5e8Bn`l65tXb%e1;3h9~| zXgl>#-d1x9}_|72bc)1O{=gr2~kowFhd9vZF6ke7)2}MVw4a01E zpl@9-8YY~hEY!7Q^(?W&7P2N zL^_q`^Pe;5Sn0zE_=RkCZb_leRhakZJJuU*1~G-IQu_8ZFIbCc0)BuEX#BXgTb;&? zclL8-Fr%Y-Cwo5T*D32*m?~!u?WCoC9ZvtF$vxHmHueSUBG!ClZ~&iV3i+)V<gTMt+76t7reimdC~YVg$sv>JAw<&ot5ZaHn;89=cbd+k}}{Bbyk*_ zC0n#;0CiBG0Ur*1j_yhl2kuP(bB0joijoASh1a8Hkq%#L0(baiZ4L8e^_w zX~0iKA*S=vYy57ls5pLTiBd#1+9V zLB7hccl1-}b24osLy?wxbmy9^U6R=EQef(LlWVSkYuFL2zSE$}Q2Rx27F6=SQ0||N zAJKPD9t5`C?fHb$a?ifNP(V&@#N}~31)B8aQ00}4;ieroS@L@c>O9m-I7tkDrqj~p zt$l%$*HK%$ePh>rTr`}lVTZ8~y$SdMfx%yYr$^!!?My$;!Y2rWVhyM5#cQtv&Y}Cr z*q))@EE{~ngvp}T(v75kroqv5+aw;RSG4aM6VBv`p>bHXy|Js8S;$yuRbkPL4VIhPSLpU)oyheItFts2 zTEe|Tnv|J3zjw2sM90zKEotGs9d-CO*Z!xCfo;TC-5?R z`i8PizSlEZO?bcmev@8MP=67UaK>Ke;v!CPiL^+k+;+gQUfN#9A-eWe%HF{Ubie{MAQ#%-M4VZqTFO9c01+LsbN`s;Zwi@P%`&KLaQ@ZN~8O_CZh zu#ROoCBOa~w_~@Z_>|D1UdUJ%Bh}&J>4y(gAzM*+q4Q#Y+LTkX6)gVRGWf543A}aT zNocP@G2Yb^7BnNd& z6A!I@NO-zj`S$U+2@0d_w$e2A8xn4$`Cy}-lT-K6$)NDT{3us&gC(Cusp&aysZ5{~ z!rA)pxv@RSp~D@WeR09_?xFLN%aX2iDM;B9Mf!Q3J?S|a+NYdvbIsM5u459ChpV=j zR9$AoRy2R;20tv)7eXC>d`ni7otq2!{R1n;3fdn%m$nBxH-ke;efxWE%S1UYexyau z4g~E0hCw+TzVZ9jquh)GI*Ta^rAYFLDLAWu^_}${SpZAP)1{GP zIeVNlvY3sH#@UKDjx36g(5oym=RF?A&;TXslUnC>j`yQwdz>f8j}E@+*e^i!tQ`f8 z7tS<>cnF7%mpQzlYLM6NZf>{7yCMSyOqP5d8IQZS?yJ)EeU6sNOh@Yb@38XA5u5CR zr1t$KX$%ieiCrw>3_X(tx0j%GUE@>^CkDpG9=m<8W_#Dspb;VC#o+W;?kS_z?)Ky+ z+!*+GSSUj08_8AG4d{4c-BW`MBh%!7+M;H)T;5v~DKdp39*pnDcar;FS;d`oi%#94 z3h;V4nJShOedGy27q+xvW{lsD6rid zMlI7=y#%LqQPe$WQ4sA~IP4P}NvcNH{502a8s=54V%D%!%cNc?(c3e$dUS4lkZHKO zt}m*=%6Z-dTRr=KU>oOcpnobqc1PQH-@8gnEvaw(Sp+y(hh#v0&F_o5=@LYbN*w2jxhR7yGVb!! zW>CD5wetFYYYj7az-VtK9lAO`*U0O6DC-Il^h^0hUp4H>j=#4OhJ@I9XdpmbuZ*L* zb2iKOoY`*bUjwJ+#RoQ`NZ{Y#3;-ah`K{i97W2&pa&BPGcS^G7^-R`PveUFYIAYGS zEU@CmwBORbf2S--yQn()DacvFm^qQg%T%~Qb;cq(r;@FXfJORsM`bjE=wy|aT?$v% z`e){<-dS~~F&n;VO-K9JbaP=zGUSI(bWtPXIZQu9`kz1fy+}Q{b$5>#n$*-5UuAcc zyNCD(5PC+F)!&~93KaCi`H<+wo!{dIV`qxhdR<(6t`EJBSgbkN9BjrvIvt&Vs<(3+ z?JLx6qrEMTbLIN<(|VE8HnZjP)IqJ@-*iQv7#L|Ll?h{hC3Vr`I>vyfF_Zm%a-P~G z%1GZ36*blOdkFd+*?>Nv@^?4@ZwPKhf?tb1WEDVQNl8n(f`@rAP+3NW3r6kWGD#I3 ze{?NwiQu=ieb6^cJ2yH$xjI{xtgMo2sOWig@Uk({UVjey{c)-vDg2}}0>UtlH{MEa z_SvvsGI%^TKi|Nr!FON(Nkq*q)xE=b%HK9&0QV(r`H{Xk48eQ)2a_;3YxNJSO0y%X z)m!Y(kK}(BgTV$K9|x|?FYd%vj|M$cUG@Aj9vU8oz*H|S zxs}6mrOgZZ%M*$+4I9urEHJR)`}btpCjSsa7?gj9!wQ)d!|MV4-ocF5=7I0WL-qXa zQHo zDm)4g0MmB#i~aMKHC++JNa4D_M}Wep?Ux7T2knXSy3+8Ni0ASZnNSlMKY$TIi0il5 zts2&DcucZZrWDx5ht>8959)UZ(EY*uSq#xoR+}0fz(iVhWn)s-e43IQj(Ra7L*ZOf zh1>lUmE9Tgg~TN_DZV@V&FDm)ah~Kn{MPQyr@t-4!tkgw81ICwcynY!&UId4*SR;4 zAIY=`!OibWRFNH4J9Mc@DNjb8wJ8>aUd_n4@_m zg|3Ax4pkVb>xm=U2c0p4sIx=*;@l{ro`*)r=_{h&zf0dq4;HpKlf=zJ^D#A`2h)K> z3v;^qxvEd}_I_J7j<-~B*dYIkjSb6+r_95S7rdDOvwJt~n(I}(omcNzRj5@VV%rEp zjfJz0zsy?S3--|tN?>!B2HhCp<0B9v?G7$iJlTV7`UsuyP%~xZj_+QO9F?pO z^2QdQ&NN0havXalsX}nw%v|CqJ5FV#tuJStR+uoK7Rz)iMQdZ9cYTIpjo^~-^TTz8 z;Po}MKL_N0{WN?c?_j3$^c4Scdji1?iyh@HSyn(knH{xH3qm*DyBoLh&B$&^K0l9tX zbhf?~f`z0RG9>~fH&`n@w*TZ=Tn#Sh{VfHlg!yueNEt`CPx4z7=~Heax$eEuOKd6BqK(N_4EvG z?kmLpoXA>VD+r_BS0>!hu@XB{+OM4A&Sm;K82~aa=8C=`dXi|D^1!NX@?5d_>9O)z9HIc@Y$d6Eyqu){E^_ z^bOuX74L716$1lZ{T^}>7-T<(*ZAfpz_~#&Q}7PQ-dHu(F=QwAvi#E4frx=L<(NQ&;=Wr){^9tDS>cYo=V?D%-z(w21Q@as?{tgS__S3O6T zvh&wzj`bY*YhsoM{L?%&R5;VkJJ9@0XKCZwE-cIE{<*~-*zt&-PP*as6P1YPHd*+) z?TrQX;qJSIQ}r*n**3_-qmrKHD)K9zp5irf%hM}fPZmnikK~YKMT5cJ7U{t8hyskt>JzUI=#@E^ju+| zft5wO^?=&E;hhk#*Pue>KL*iQ>On~ra3fd9Skqm}sF4W_%|)DDH}$voQqM~0Ii>m! z!`{cn!2fCEC%PJB>qzqW0^+!~)N@!`1EN+{zIPlF@zNJio9ii>h;(L9tqb$WYl=eoji_wcY=3jS4R#29c&BKwHZv zsi)V@0$Sq1h*#&s3upMekvAow~Ye9mRiS9LTzaZp&@) zxfh*dIV{}Xxe1>q>s+K8)Uq1)PxI0c)6=K24B}P*Sy2Mh(fHQzM2B()qV%De77EDs z4`GaK@W3&R$4`xma<3VJ^WeTCCR8({etxl&pYr}cPf}XjTwi%5r*_TDgq@T9>5^7W zHHVFtRP03&T&-ur+GL9FJNgn3$+R_fl_GP@^8-t?1;4p>2?1tuzpmAhm9M#`UJ83% z#RKix+mDsMJeW+1yA(pjQFIvDDyfZM=0G-D3tBc#yS`ld&#W5e9@M=(a~PeTq&z8O zV9vDSXLYAij&UtSmRtBIkJ*McF_|h=E07-$P7EoX<6o&}UL4LnvT)8!@s9zBm8@7L zX%R(BqUgeq__Loc0K52sjy9kU_Wdy;k=5Of1t?O8<2;aArmjXN=v@4HdyfqJ-p7@_ z^lT9K_~@g8ih`S5NIexx{)^`aj`{I>$W#>a5#e&)W#1(8x^8S$Q&i3Voy9>rUcDU^JEBJFP(Ia4F5EKZylI- z35sst$&b9b{2P}a;UPmgL)t~%(ND%opIW$wN5#o`v^@uZb+-ScgY4t!V0p-GqveaB zDGQ@B?_zO{QWQ?=uXK0p$Q3V8sl_ZjUiNRhttK`V|=*JKg~=`LRopQkZ%7 z{NDX#kqYm<`Ub;-8qYmI<}z^3N)D5`b_KHUr3e3N-LDoBJ0KwV0hyz=uDN`EnPei9 zWX1!ysQX=eI?5^m$M2f1i2JaNh_486CnqONJLMG$uV~-c*@bX`7{z3@gG$}Cd^z)K zhGo@tuA0S)Y(-qf9b*eYV`~Kbv*@IVYKifYtJAPejk72Gg3798mU6Gp~!IE?}eI;1QU&?Ar#~Ae*Wx=!rgb zzmJb<1=R13d|6hy#HbNk+HwA3U~=6CcgrKAEk^cFY1McZ3YF}D1>Ko9V`b3UePWeA zQ~_{SNNhC?kjx`^xvUr*}L2_8_6TvAMVRNd|>57HJ5nH z<_!7P=#vf^+r)p_1+E6lcGFHOSBVY+r!KDtg_lS*=B&kNV@NFycf0KBd{z~}I8has z#=4XADNN#Ob=l6nLqmzG2FU57-p9CRNB<)nGgZ%bEg}L(z?Z7eA{pEjXY4Qvt5Kh) zoQvjR`*zN!l}d|VPTdQlT)r;l#IxnG2tG~%5N`gA^CZTn5^S7t?v|7nJJzYryS zz2QaDBjHzNKHr>QFThz{EH@*B14>HJCFmv5eM2bpN2^_%DoZkwVl2Bd7UTwfGUXh^ z3jyYOj4gGR*oJp_=*vET@;=ajKu+77>WhtF>Z@BD^(vnqR;0Kg7nTfXVQ-i1is9K^yciuDk9n>DIz|Mku(d27Y>>fGozwo7RUoz=NbjC(qa}edH}#5IS^} zFqX|p5ORa};BLm_jvLjw>-dpp7yl`f93z|T*5e9ok!C>z_hFVPe_ujK(J@eOva5g6 zuS3r)#Z-K}3o(1LRLc1-^6+|Pp;g|#a(yHoF6O>2vCF}IYb?E0?i}#wTp_zK9V?^u zU_#GyT?AoM7$7J=igRZ)%gx0&*EQ%Gnzr2(ac+;)vjc$=9EIm`^pCYh;kvfrY1ptE?zj9Rq|)yX77qT=WsbgDq8I36ITWN<7Ys zBP?h{4gw0D5z)IQv%l#y=4w3YY(S8e>utfTo{?pT(;S^l>ugj)wE4^C$ov$UMQ9B% zK_~{`3d+{SDJ;xtm$vnL^Zu|I-Z?z6Bk^FgJ*mS_%y&?{jiivK!oC@Q!m}+CkdK6M z>%kM;2`d@T&_u^^F(xYkSnR4Yhj3LXX=x!#7<&$YH$4wW^_NB$7yXrmir@Sd@OyfC zsUMdbhYAXVmvwybzD$0DvfScA3c9crh!%=qw)BB@WX^^?&{`m4e_kN2p|n4Y`5!p> zFL-@C27yfIwR$H6t6_dlO&!kde|v6!Rr{TM-(6mGiT%zUyM@O)tzQ9|rAYiNerggI z6fw;v-Al~Q6W$hKy zIwBN(m0n<4ogd2ATAt<^tYQ~`c=7CHAqD1^;rL(SRG&67FVVf(fOxP9hXxb?z5?^L#NZ+8cAGLvgLo4}tkv@kO))SBt(naX8o~Q?aMUpR~Dp$){pO z#fxwzI%c5$(>(W~ZG4mG#ejFXJsR!N4a1&oqE(q;cfVPEeLwGp2gj|U0o@vn8D7Nq zJmeLlQ2%I$BcH2#yGmytT-0^(rtiSZ|}um`=XE6U14UU3ae zedC@=(bcVqY6Q3zch=+@o~vMJdpDdmC_`A2>gAgk$UxF1)m5T_%;-b^IIcwIw$9#f zPpranN~M`k%LP}T-?FV%fN`<>W>ry9ac9(H!L2@c`dLaUb{QUaw4P~0f%a22tcq*0 zWWPUV5#waTS8AI_KdQdb3^qlRa;Ly9MCN-{1A&YgjUE{Wt9S-$RyY-aS$Bw^Zx6d* zR&XmC#vk*wX(8M^_sgG50y2l})7aT4m zy0V`Pes}<*nxFU%lIogoPw~`-@-;1|$7Mi|3-U;}37Lh4SlhyN!8Gqh;VRwRpQr;1 z*nj4eFKa$JXJlcH-%QbWZ~c=nB!Y4dR9`L00PYl=Xz}tYx5C?qZLR9(jKT!8@Drts z@j&sRwyp^{LSYCn^FJ#^`vz8R^{GNJ{GHk3(xm6z^Oh zXX>xp5D`bee*92E^v=~;lKa#2v7R2v-wBb}L#i>k^n=R%Y67wt-<%lBK25ccw^sHz zB3y#a<4bC21Cx9XwBgQw<5%=el#xc8|5CYECRUkEkF|I`oFHYX124n#!S!j=9FXWq zr__O5@TZmmDDP3jilW&k3&1HmTP~8=5yeCYec9DJghN>Klj1=02t{s8L~`&?Q^dGj zw@lsLryYe$?eTfak2wa`2Rjx?_~yqp<2;dDI@|Fo>W%NkT@6{7xv1nuW$YZKOuB9g z*VZwunLmN}ki4mUQE+7PMjz#ag5g_OpTjx=P-rVx9dX_`?kWSt1!la;jC!-<_oE)H zJ@dlc<^8}WjZxAN)QE^WEbF)A!fyF4iV9jVl!ypXNztr)v-O^u8Cfs)F*7nU9-kklr&nx%JU%^IE0^nQ^*Ya>tB#LA5^7`X zT&F0(Shz+#E&7cwP5Zb9<1AMx3rO1106A(0LNY%(5X}b=^ES-0%354yg^*&~QEV!i zx(a+I@7zFJwg`xwO@-Hu#Z)7Car^LO471)`L{fZz=g709Lh++w>H5Qj?HLz!B&m-i zzFN=4@G_Kp2(81RprhhY|7rM8g`u zbDk(L7j5e6Tr^e#-fr8tqFG&)=*;48Rh->%+5T&S&H?E#A=Q{EFKLr5RVbAzuH5MC zRk#IEjHp{kSkr!wCG&NTkHf+q8<`FQ%CXMsvNEO|hjvxfehZq^d!5bp!T|}B)dy$# z#Q1ou@rjZflDR0u!r`CIDRfm$z>58|4_LU%S~V>94nZwbe^u2+vt9Ix)B|CK0TfhYIR&7_KHa0|03%xz@m)0HPAtj?rx-|K`BXT zq#LBWyQD$s29ZWeK)RHW?oI*ePU-Hrd;HHi_ndou9swP`nH?+N^{&00zzKzg+vZY& zb!*9Hb=+Ke5;e%$gJtrAkHHR1II!B*Zq1DfgfMR5d(XHQ(#NKjTcVV$B(VBI#&Ze8RrQ$h&jJAX z(t)Q!rIsFdjkaoU=FRU{)jM}G6F`Y4lkDfje4H5}LgjdWm*xy?-h0jfTD3*R5_}s7 z!m9#Jw~{cQB>Ar>=(q#}9~b!(KfKJZHJ$PTjcO1m+y$u2+Jl*DUXpa+*Z?!^JwdC# zL>pV1MmA-03Wi6k>lwcYApw9$xh{#$G65iReIZawd^b4qP16_L@tr^EC+r*1}Qw8m#Qgw95TTJi}hIcUkt(g=b@jF z-t~Fqe7=f|4aUk$2?jpd&S!sTf3L6xbp@D5aQ57qs0Skhm{mH_SWXD6D!;dpecnTf zxQaQs-4{`$d|~me zJ|QzQvmDC)6UceP#EnCWbtg)DL{L5}sdY}4v0vty@1)mIcR8(nS*h*YGnQ+QwxvjP zA->JRtoD1O2BVMdibyzd|vArK=FU=<~By2i2TP`X}_Gr&;qfFaB3|H9fJm$zS5d z2Ca0e*tu7B2o@rdNrH@AO#vzAZyA2uTGR39jzb?ymO?;DFVJ`iMq z>o7%*_!P8KcYbUdqcSN$qj=%G)E7n(}>`SpX3&WD~lx9w&(nEhYw+eNnoqD>xvS7`yf32oBi zkJBSqxZqx}4bk*M7Jya&Qzurms!U`PnftEHTi9P9myIHJXHdsr$OIH06@6GKgT@L{ z{e5f8wbYDf1zRhYSx9)s3i$z*>nnT|h&Ez1z1`b;20mZte5eLWzzV0k-e*uU zKJIy{N3{HC$T(i*q?NYZs;>YrwS?a0&ajh&*_Nv@oGTUpa5eN~qL&iQ*UnT^^B9j! zO!=XW^fRrv+cMgt<16|+a?w9SYDth(br?>(A?H54!s*I0H8Qe2o;d)BSa%m|4dIV_ zLT^?nA*Uvw1YQ0gf!IJzN-4mi`UaRx!O~dsro*!T#lyH|6Y7kg54UY3m8#R0a9H!d zqtAHYS+DZ4{B_^-NwmPO^<#JotM`&kRB+XeW{VtPM6j%k{yBt-26qb#v#l%r-IgA4MJ{!vUb7@8dp!JGJ=7Yw*iVpgx%G| z=@j&;V%I%q>*-^dl{1Wk*K{|Kk zzSj0#ujY?$^%kzxtfvpp^+|1bgv`K3qaDE;iqCC{VR(xXFb8d{wA=5&)KhbNN{0EhwYl`G1#zff~=LSxGxk}5qj?uVZVGp#Z4>w z&3{FK2#E9n2F}`0X>NVJ)XUN)m})#j~<3$nW!%_!6Ad+TXD{>{!X}S86iha*7xw z-`Oz(5!Rf?o?i}=G2ab&4JADz46co;&$&Z2ZSX%GSNeSAwR9QC@65g5>c*d@Op-qG zl7%OR3*9#G0jgNu)7lS!+lc{Y7CetDOp)I8g*94%okK=qwKS)x1+-8Pwi{-s?ZJ?hhXw}$Xtjqv} zs0iAVr}+KTNKg`k;(n$Vh4S%kfs~oo zlRw68yEEcTZ=Pw@?u;Es2|30lRza!v_OUW_*h17&Z!xu9UNBs4V54)2{>J+3#`vxk zH>s_=Qat)JyPi{FDMr;lIa+2QZ#c@X^o~9Zn158;H4zU{z6uuJw$Z!t#DnZXX^;i1 z`w1(I-l|(39-PngdcS#JZMMc_n|h5LDaq+?IuB@54itxGQnaWfinL~$++OOOm+Y0gAzgPx2_$79PQ3KjN=}RM z;7?1ODTfl4%+JS~ieeN;&1O#=&)x8TR=E2oO@aZav%PJ4j}a{TLs(O1D*XcREj+&m z+r&4dI}sH>^%P8GM@*S?zyA%jfEPz&8T~H)788#+O;Z)$8tzA%dl{J3PQB{>KuVY0 za0LbRo^i9Z{a(NgKoav_oj=p7rFhc`db9nDc?(7i-dVbmA|#FEeXO8|s4jUW>aUw0 z&)z4Z?*5iBG4KcglwH5s${$^i-nCZZTpxy$qXtx!JWz|CERI^f71#ga4iFAyB!h$N z7Oe}=>so3nB;=|x+#fHTF;=ua=~>d*H#-G8jgOw$RDc|o`LglBwYg0M=^tedm(MXU}VhYVkZl>Nc zYyTkn&i2b_E=c+2;5+O6^D3<jg%C8|(;Q`&3Tmevs1@KRzg^T`0&$hkh565di+ZZ|j}twa{%-OGU*8c4}R9Y|l&`YFVDiG26R-TUlLMT?cK z3vyu$JI!)Zn-PJ|#u;2)Jx<6$lq&=x>^DpN&3&h;0M_d1%J z>FnC*@t-1p4?jl!*y+NdDKK08UNLypnA{aHK^`V29eQRvPj%EQI~N-k7N*riPnD}J zts?>Bo3^_m`4-h!r8@gt+J`{@Kd-TGi6eH5GzcKXX_tODcPVLp7IP*_ z{_vzJs?9yp6!tbfg!m@d8xohC*iN_?Qcpn`Dl0_6UhqvM$HheTN9B#SVbwJIA9V)J z6a6$Bz;X5;AgC&OufA;~vjxu`^TwbZpblfaH@RfbRn z$NM1gjG!qOlHF&9CY<=aeh+&}gHL<+I#*Wb{$hnFcO56EB#~!2qu~;Q=DL@w*!u?( za3qD%!Rg(2-ysMwwb*_urvCh0k=5n^X4aQy+pUM+d{HK#FTLy=G+NWFtv{P2*|rz# zsS~qB{z{S%7giJFkME84qX(^6_eAK}mqz9HtK+jMWx|C)Vvdt{yzYOwV=@|H?w*sZ zKK9}lzH}O)Dn@OX)83hGvD5TCih_U#@Kkh%B|a2i~BXxW8Tw;$Cl3CRi9%5)?`KTth_P} z1nwmG`a_(MlnvCK!YLR?h9_~WT9eIUG)Uc;I6vN5!+=&#%wOQ4zxv^*LWpsf&ye&l^`zvgtU*{y^w0Slvc} zaXgC+iLZTi=`(>XICOg15-Bs%r3;vce=P%Gk}ibaghWXP9Z)lKJRZ9+3mimlZX1X) z$G>HU>2c+38}B`my{HsZ@(HoxmfN zLPGq4m4k>s_G_=nktQPAQvlBq6}Un*=C;9Y(CtB!auuB1C;e`)?K*!RnN(I`c)pc$ z$2V`%WjLMi#qH9GaYfDxgA02r^m_r6h*M`vqtA7Tq3^!kR@zVD?iLTsIGvM@EPDkh zy9+*7c&FwPO(F!BT)x;dTQbdIRw^jE6uR2)!gkMVgKTPg>W*P+Z5=do4Y%(o5G6&P ziReiX!XuI+E%Q#qxB1k!+yjp=gXb#0z-TDylfyAR?RFXWIrqlbNtg6ALdw+|sj6wE zIJPD}RWomrQ*;zf`>uSOIwRv5LIr-F+)-f+u`g;Hp_X#*k8$Xti9;wKP=xCx#Lo?= z`O{a}Dz56!sc>-`(%1EDku#rn8!Gq@-ru>u_C@RZZf<>^fX5SM%n@&~Z+@bSXa8oIB z!7O*hnA1~hVVCQW&{|B@qMXt6*2MgD;!g@JEG%EOid&trNbJ+y2t9m^DU0)n!x!pKHu@GBR}md0g}6IKOu3<{+zYVl zFxhI|cfWO$3u||m%LF;6)EqCj#C&*uvMCt2AV8uXsx|$x$fQP%hCe1KDaA=$x#RCF zR^j=jaH8_Z>b;e|4uy{SWSykMDcsY*oRP6lL|>uyZEFK@G2v|M9sP0|LAbb*idvjk zX|c`xke0P~E9*h!`p%o{=Q3<_Sjyd%KMs&s(A?_vTS6F24pyCo98h9Ts6#fcW^125 zlrB`0L?EB;EcGM%Hhkz=n?;{l^&k|1NT{{ z^WYE`aELX#*`p%+Yx_?W7V<@X*WzmOzT>|kX#>dh$IKNT{+CvWkd^cix*Oli`WxfU z=ZY@}`m-Zb$-OwIdj*aurWl3M>L$AG(`u#P%OYd-p zxNy}@u08QtwR0DyEF|mLv@cA&Zv>B;laFMExmJ!IvgdFw4e*8|vRVPS}z-NBt z{|UXT3-W@Gn|$z(L#Tot%k^R-D%Vu(AhN@ZXLeuJ*;Y$O)|viu_{}HV$vjF(+hidU z`q6??wt;;)VSiDPk_O{_Dl#ND*QCfImS z2JhFzM3Zc1TEKf-+Kr<+d=f?eX<=?A!kpALab)&5z%DM1>|9OwyB)LluvOB>nr=h@ zEhI6VRqp&$NVc2K!tf$>drU*MYhB$yq-Lb|uKys}SBT4&JRZ^5X?3*vV>|^#k9BTB zT}_0OAlLra$+EYtx>axtM6*gNagP_bp?R*h%^Q0AN4yOsNZLGqSZfX5kv3luzcEJY zaV@*IQ~#-sXEa;Ly5#rrIzZgq-G1re`pyIFZl!IWdafVvs^?gdSK{JoHnVjOknd7Q zm3Qu#KAj0wW+@VnRaYlOn6fmLKPH)!>M<1i0vyC&xvC346ev@(&@OnAMeggqd;EO? zqs)N#IQr@ugkEDB%54Xl&+lN`%5_9$b}r$!3qFWTb#{0!)0%Cp%p|NWBktLjsvoXB z+?G`2Xh@+W^wvCXWS%a&*+m^S;OjpgMt+Tri~kzA=W?2)DlaoCQpbXE>_+0dPj=z- zG!057x~JhCJY=ZI(aK*w>jPs)@?gexzq=b^r(m&q!ARJcEI%rYPfUbXrS+-3xeNvO za9OImZBLzj*UI1PX_)R}Z*>bt(R6!bt5yBz>5^=zCARO#WI>4n#Dn#ZI}#uLAeEby zOd3bR;WjZgW548oh_2JqeP8SQMbiD~w>bY^t!T~HM+LcudFj(TgRAZlTJ+~JUt2CA zkg@#XZH9WRDRYxhjF0Qe7PhnAh?y;HRSpva_a-?;tC*49*Iog3A3GlIj-@?ro5cmm z$gISkLDD#_14uqlQ1R0voH~1EVLj+Kix@gu`cdF?_KZ#a>8P29j4Ei3!a3lLxBP1I-Z&Hk$K8O8($kFrVRq*AlQ9ZgA6j4>&Z0X_LJH zm-DbBv#~J+=EDwEu6$uL|9ak2svn|MMjhJfBW!p#T(@IYfL22HJJK8kj);1i_nB9l zi7A=U$;u3sw%IWcAH?!5{~DJDw+zc((v~-TCT&Qa?3Ors>B@r^_|;4huDif!)k=7B zx-jqwjdS#9&w~xFgtfK9hs0#4j*G!qjfzo0O4cQX+de?Am-X$h7^;w2_kLmXr92q5 zFMBKJH3-mzgp-T2O>8t-tNDp$QteCJ=cJfv%2jro-`QjJWX!{k7atKwH4b~aDr~W? zg|O!{M&9bF6ICI38h9~+RAh6ABjuMlMa$hXTZ-@_Q(?)=^|eL%ne%z8^D6sjg|c*+ zVLN-vfO-UarfmZmq5~m6tU-4^qmvCRtyi8wlR`-a@`j7QNn5j;V;YF92^Z#xjjQ13 zD;Bz=dou}tf5+j|QhS_N60ZSG41d^Pb9b>J#J+uBgdT#io9sWdFoRjlINRiD=y$o`c7WJF6Zzq!BFM7$RbN zXdF(S^ALur~r{jZt2`%0S{=$-?wNLZ%rB9m>+lCL4;IPpAEqf4}Zq$u3 zZ7#oi-$hT?&a;9xr^VfS2`dFQX?7Oby;iX5EE@;EV)2ui%XgF6g}*9y*jR}g-qd6% zJ4Gf>Zo)4a`i!JQ>27-EE+%twUxvCUiW!<1K|qWtfOH>#wr%jXEJi@(waYObBT|7^ zFom^)MPZ=LlF`$CuYE{1M*qx3GREYW4XotTQRf@ySJ!__YEwR(Q<~qqQ!HQo2uk}b zP~PMbYM0zR{=?JPm6Jgi4OKqG*E6dqQnK{8$r!`;yQQE$&nspRZrG`BdHv^KV~OMrkvjyL1#d2vCt zfQIiZ?f`Oi%E5l1{`|s;z3;N9iNfAEoT3=^$}QEiayF{$ikvVkyE9~iMtgr<6}O*> zFyLU|s@qd05J_yw|13gE59oM9qP>WGT zacR)QpoQ_=u3)7>T;0zfNq}BEl7*Pa7m?E7Oi?JaFk0h{ zi0(M)S>jCt5Hr%(F?S4c-9asREvfskFt?|caA_9*s*5-+6~rV2ts`Q%@puZNQ&>{G zRaa6}+~zcBEvHvcDn>v23^F-2*|wEMAR_S|X?a*DqPA8nj(Fp}<GW(QP>AB!q>L!5W}-fgR?vNd-IpSCnl;)54bZLjtL-d6%_CjB+)ttD7Mwoe;utZ zk3z4bTbRcfZGOnR#0rP-&u4nNnA(rK&|oRQkE-PE2{~h9ue38MeAq_wp5i;bHuE7E za&qpiZ?1ztv>79`1ao1(;BB(+9mAe$d6KVs_kuN(T*mhx#tocM{N#B14s+Lr(M0@v z(^Q7L{zLu7V@i2}^yoml%(MmXcKnr6V@4FBNkgj9-#G41%XLqCB5!Gc$uEr(_Vs7Q ze{#thwn_^NE0i%g$qWm#uKC5?lVU^d`)gCA?0jtaCu>vZ=j`w0h-Y5KH#}QpGT-N{( zEpMNREvRMK4Ny)aUu7L}H>&2;hG@(13O7^VQzu{ntSbqAmp$(EPGQd|Y>1SDcv`(Y z4!||;k#uOix$ipj$?xV0UVFJ$23fqtJa_v!HdJWjr(ERijY30{{|r)oXrR6#u*nzU zxLAb>fEL8q7%|x&bT`{&8Sjr-zFA$m6W*CQc)-I^(z3wf7etRM9Zd|Xp!Ci!^J*SO)|_8j zkb8g7Z)a+XI8*3xYYnD%2#lp8Y)s?(8=0=4x4Q z_#zIN7zi(a>q>Lk=TD>xL%V@98>r$mdF{DIi}z=Kx5X>FFB80ZI(fdzuRO4#7p12A4#?~g$-MStz*XZfU-d;*P{hs>ssoeb} zYk5*leQdEoEcLYp{m1qkUZ3B1(@)E=7~f z9lL$M#)3bqFOfA>?&310 zzM{(A9o*IvprdGteBil{v}Fok*)hH6_@S7n!v%pT)FT+5wl_NZlaBc{0%&<>_q>X>3h@!R)3a;RKY<3)8dF~JZ@GjbzknUb1NX-0=9wX zX~_2XoXkM2YC7^DUA***BR5C5BsWztnIFFk8VAxlNPu|=8gPI$FW%S-Tn2?M zlRyGK=RRwp5R|qi!BUpEzDPkaUR#5K49i8I054SZ@L5$QKJhD>9n0`&5(_OC8i=Ew z&y_E`^{OgTKmt_AB!*I7i9nyVTX#L;GFE*Bfo$Cp6VB8+{pykJ?~`;dCj>46?{`J1 z{ax_7r!;dwllS@GT9&+80AqTPQ0BDg3!d*Sf|E&vxP@R2?$Col(j(yTmFDy#MQiA?dG59fB#@I*a2j*5~J$a6X)6c z_e9{HGlFX=S-l$F>D%=+mL^|<_l3SEA39gvym;WRcC}2Q!ui*H5ytO|)#R?2Rwb67 z`JRF*S4gd|CPR0Gik(+&mji>%;GE=C8VpIg&05srF~2zWxX{$%`CU9#m4E?@h5J=E*J+DaP~6nmEBGQo2ClDv zK>C3m#E@^rsXo81t}--a63~CZ+n?hc5LVYF0YZ!v=&*!?g{3YcMc&*wtjRIP-0OVP z`YV)5P$!D%N2$^HTQtb=Izd6D@HH;9_Vf7)0o7XlIQmHu97v%VrJf9%&CC{Q^MhYZ zkKu^As~X1KvhEO_G{$@NHY0bL^99wjfVv}U2&A<nYyQ68k^d&=%&9k))oQ17Y@Qe7~yrnpy6tY)11aYh48R_}yb#J5RX&X9S0J0tbr zTk{@-^1W4k7jFN`7WF1&_ zMq0$QgIIP>K?r&oi}38x>I4Bmy+8@*sRHTJ00#2tx2m^=DlT55EMw07?Azy@^1OiB zkh$(lfE=_vDF}8yh17}(qUAeZF-4}gtX@BiFab;p?P8M2-4>YUVh`qjyG)t-##m1H z@VN~&i`=2Mhj8=ffsw@Q3 z=&XDxK1$y5Ny`tmCEk(qIzPgbdp`#W3hRUisPnE>z?K|Oe^kHry;wk2kQG;RdiClx zhy51D&RmtCxdO3jc~x2}@%n91XT9GpdxpEi=Q(-+&G>q|cb_{*5%66K2{=T?pEf-x zimQ>N?%Av?d}4F7Zzq^}(z~L%GdJHh-p%peF)avXXwG*?)=cv=!^%nvf1_}CT`Y#< z>QHQuV*=z@d2^-u2I`giie)P>Q@@1cB+QG^Fy8T=R#TOdsazKb)6t@|Hns*fl_L74 z`}@q7)b9~nZwr3)7iLGF@FK+Lz1$UB^1G_YRWY0r|FNGFUZ~-5$BO;#zl+d9)E7+$nAZ1kaICCT{Ku`%JDE!6Zc*ys`X=k*ga1H(Ym zoYNd^JknpsOgo*82j6#hiQTz4ig77P!C5W#npLpSIpnXV1LRO#y^HI~@*Y%R%Q~3{ zYIOaS*RPfiWBT$??;Q+PIj1#QPTZnhzl=BJ@EtaXcUI9GN%s$l01Abl|1~BzkGr`!)qXA^JU~s)Ljc)M+y#kb z`H+r=Qon>>SkIT|!bYH;OZaT$q_+wh8qhFF zE!-pdt+-mCm8Ini<^%&cH3TX07BO9G?$58BK@Ez&Rgj7SHVy&`Q--DAK7l%`4APC@z@Ms7amh!KSV!9OY~ z+K3{B1QgKK35+ReiWys{jd55v)ecAH*Iw=YM(2;o3^Z729L)%0)K-yM@|VicEEYlo zOjWvkM6z!^{43}5AcBfd$@s)@=0D(o5gYXhTuk-lM!0>b9?36*D_^DDf8m0v#h?Kh zzyW*7ENw&YOtK5Jl^CXTKfjYxfN%5sd@AHm_uT@CERb<#wXp&-`Ez*Qxh*IKW-gPb z#=(b+f0~tAFv|TN6Scp9eUUz~Ts=v&)SKUN@eZ@ab{bBb5wEqH0*Ri11%-Im8XBSI z%5;Hxjxw6Lsc8@jE3>#d0!V%;Ewe-FIG#T}4Gdt3F~j(DBv7gj3?G$)n)RJ<^LS1b z-DR}>bJ$@%vle?0#pO8tEiB0m7}tP*etX!02PeoSVaYg{%t)b*=8&rj1L^7cjZ$0_ z9v_dj6cmC&_D#~80uL5rna6Uv12_8I4Ve@Ld2s%dSY3Go=6K<=X5{|6qp&lXDGM;9 zX_0o(-og{tnwqh>T%skoU|h@5p@B~zEdRbN+t;UdOxOEV@AH68H>~$b;Xr47=Wy84 zRH;>^TrB^Lk)05-{q7km8X6X1B8@9*vEf{CM5V17frBs&0eG8{;l@!v3Jjun#H8q- zGLsd|F-zXjq*ZVx4QWX?SJ}l3$70xW*H^%cnvZw8l+QjBABr567T0Y9~P+hQB(E<&JNJ*z}6TD}W&l}$TeX~=$3B!;g+VS69 zfEN32u>gtMyo!__YNO41=`+!uJw~V|D1ad!loZ03#%V?6irZdevkc=e+`!}-Ma&|^ z@Z1F7p&eKk<8AEFXT1sr-Vn&n?}A|HstI0rqOr)!k1$QWZM-}<=~@qmiYCC)4STvk zK*v8jOD!k}t5}{{{L_YQxgM6-x|r9~kpFz|ug08Pq3fgH;d2(2kp#G(b-ReM>D$3E zB6zm{fxO@6xc`43?|ip;VNwvf?<~o+4w)!Toio#r+ugYm@WBIvO$AMctSjvo8=zPe zus|teMe$=!g`Ysq*cxES`cll0kv}dpo7lZ)4kByWncdi_NM3=W{@31xX z-k~qb?XKm1z->qmX&nxC}5W69F=;mN*W$Q?~sfs>{Q_@IT|)S1WD`SO{JZWBTP zpmeZ51o3QTop#@=wm<>^JT=2#jHiZo6Q9fHMUoH_`jJDc$?oTva&Zt0Ec{zNc`}7< z2V+3z2#!&u2G?t4EL0=Dp5E_F>MWmep5c0$*)V#j^g9f?e_}}ri)X?YqhheG{Z>qO ztOs`}eAfLdYZ{3xSjMm|07gkuvvW0}Jh66}FEK`oO48oGd&n2#$qyZvrtKv^kHZ7{ znpkN#{3GEXJR+3!S33?FI;RO^%7w^%clSjR>xT{lKP%o$ksF@~FT;LW8SM-VkPf58 z)*^E0PE6Yh@_xa|H96iY46Xig5w%*;Qx&haWC@b|>5W;97)3y>ETwlPWu&c}{fb;8 z|37Hlcnzt7^bz;Yw z0J2Hykq>gs{OskIIfV}GW;-^ysOUF}*a7}qt5y?EhRgPHJ4Wd8X3uk|l^F>C7O!?b zI?*2b`&#uUwI}~^0QhR(P`?BYS&i{11<1CGoRy)dS}-h+fziPEdnFYW#z#01w$_>k zp}z&e#NfaHvWaAD&p^q?z9B3WvQWmiO18ub_hj%koujR#b<%J@3oAk%@h`OME4Cid z-?gO@V9nH;(3_f>0dX;7)~Q83MUK$=Q0XWV%&4(`+fWJ0Ht6^T!N^yT<4Zl7n9SDj z5j*4~SQ+&R>Iz8xy&J`R?a@k;N;LFQXJllpAHEf1%7||b9bcknxk_l3fE~z@IX?c2 z0%b4O+AWU&zsCao7#T*8gUIf@R11DCLBD<-$WzI^Ie%U=wH2u!r(76FE1QH!791AF zNCcISnzkPKbjyX8JT;@*+y78V?u{ z<|$8yPO8;vJ0#-WzhC$}{|6sC)HEeY)B~3YZaD}AvE5#7HmM9378My?>~hWcZ*0&f zYkdEG_Wy!sDqpX-H^@dvmjXl3&Y2kA8%br18lIm&ufN-|inmh}B1%n7Ih)Y-IeEVQ zju9ZQXeHC-oep)dD|o~}fX)s3GKHh(AVopJ5ndt9UiF5cd#pjrH z!9W6UR#H7w(~{J$6(_)rgj-ZhOl*f2#83V8wnA9SEMT&*wo46ouPufGBz(DiW~(=3 zF;zD~ff3wij2cG!()q~C$}81IQ>Gx|MLfh9X$*wNYItVCvyvV0(gB{|?=h1yB42x7 zA(4HTN#k{*Qpn`}7%yzwbFlm;x5ZvBhgx0de*ty*83(rfHAR)A;8tH_aItTC`rCu7 zy8HYZ5m zv<58F-fP$o<0Te~U_i>y#XBboqY?E#1(DRK`Q`rX^^}va?)O@;^bjAFu8D7DX&XkIU4{*Wot^J7_T&%J#gf24~w zGmGX)NA?C5)^RvuQ zR~H-xg|J9S6a1}%d!Xh^iWjuS(M_W3WBz9bHx3KwDJh6xZ;ri+KLj&@Xy9I(8ohywHY=CVB^+FR_7jg4(6YzzmYqF{#3 zJCj*8Z_8q*CxhazG}uTn1}%YESLC7MG@-98MxFJGKAvtj&)2Q8`_UwgX8m&%CRpky zKui2H_+mFn{67-5rM}LfFFODCu0Fi>i!H(7g6V6aY&s&U??raBfJS5guCBbvC4g%B zQnOd*%_KvM6Bsv2l?V75>FMENcv+h2alhe!>Yz!11MtwjkbC2#!iK>SJSZ=9zx9b+ z{|I}9-HuqJLO;5}Z4a5OYz`Z+K_0G_t6clB!(4uF?2+(CkxU|Z&D~Q4TZe+ffOMPA z;P^pI`bmI^abfeArhNb-cF78VVuwT56XLzQ#yM~J)(J8>Ln3~o* zz5=-Nztn{VD7fSP3`eO!9lYNojAh=pkn)gS%kqkd2F6pRF9~>jYxDr%m!@$=&Ml^V z^BMswoah)yvHhX$1avU9C&MBbPo;5LP8BDPomfY8b%~c6w2~u`k;TWQgrVb`@67y0 zEr{L~Q1j25Xmrz0$IyZOI1cUB&8PAJ;ZUK^qD+B?r<$ z)Lu@Yksjf+YG_ErGgD7ha4p3~1Z`YmQOeVjGc7hvo;lTy*sDzV-qqQ8jIl|jUffVC zt!h&wPEJn74L)GX1)&=(ev>KS`3Z%9btUHx_WI`fg%Af8QR;iqUaDMdB~@j~X0Haz ziCV$inHj^rI7)VQc1%8v=)}y-m=ev3wTjlqPrVbZSh%=BL0vQ(TU*Fv(S;p_Ma80u z73A7=R)IpkycLt~&$pYuKMi?@XIvF(sH&<4>kBsfZ}kg->8Lz>Aosi7;P@067$5f~ zXhFAXY&@*+i>aw;c2PMzH8nNJF~S}n?o2?qSg86v2D}ZIzLc5yCglG}qf%VR^qk9Fcon9Y*Ulx*Oe|{{;?O>F(;Nw<8z@ zi+}*(`SU{}S@GcEulxitF)<#;D=>4lc1*4r)?!rgZGZmYS5;MA-yOA5vazwb(op4E zk1j2dzg-d(P)D=3x7TX&;Am=UV)wiEDAoOi9Zk%I&4&-@j&F6BW5Dpx3=9mkbaYJS zYwc$094K`4^xoHl5cI{#$q6BkJ?ZV$QLNQO0dRjEvokX-{I+yUQv^0~wItgInFj-oAy@IxMrgl7eEF%t<$aL0e}hEWJWT+hXGfBWr791Oxmk*AS5Lf%Qzt~8yJ(|@UPc4;QR>tC*A!A}<(g{pFUR*{7s<*fIPy0n; z5*~Y8K82cEj}v1~n?IzLeC|_VID7H*emE z_ELjgi}^>ns@B!jH8e8%n4SGXz~>qh%p;(*v~;Wrj1d=X6|-(V=3p|LRF;r$P>gDk zt*!0x&NwvlPag`4fWETS>1E+eZ}r|Zu!$;nOykcJYmd<@oRK6nzM_G)77Egzul?yy0F%5^1uRu zZaJ3yam>jYj){rM=jq`pMc7}cqqFnhP|n})?CcnJhM*xLA_gQT;z`DkhO_E5tc-l+ z2bLAAOW414QCV1A9Iv(0$q@9$2fGlOkbncG5Cq*B>fv-AjGUYtUa#|)8yg#7UHZb?bJeusdILs(wF63pOGc@y|6iU|&VkuAvLckyo zii|`V$rNPzr!S);AaCKZUuXkE#v~z$thJl(0IJ;H-u|DJ2!O5xc1BhfMQK@CmFJnc z?P3F7GMhn2OH0c?2`RlgS~eN@!T|QHjc3`1+BIWzpr;2OybQ`;m_TchUQkoRf-RH) z>%F?O^AZfCL@`Ty$6ucgvOzT#Dp~cwkPZzE{gaFJGVL1V!^1;fVEW3Kb&CoM+veud?v`+- zL>t`?J^=}eA>)S!N}RJk=`lAqH&bgzf=oe^e2GX zQ9?z7s=cVV*myiw0%||Ta>St1{b@Uk4Yd59XfS?)ipH(&=g*&4R#pPAs3qG*M$j`e zGk4}{O8)IiFxcBDGJgDr+lx-{0YNd;FG)y9f`Wr7U%Ys`^AZI8;t~=@U13-|(-jm+ z%i+Bx-VcYQ85tSb#l?)S%z*x2GWXM}ufM+?7*Wte03C&mjZI-m ziOXM~TYxHvOiymG;1Y#=Hco zt6=dQot-}cmkRa-Xn!aW^=c1AH56v8N(hjCsC*U_6ae`wI|9KY8NYi_U?A+(1uYfT z=UkKCn0n7Mx^lh7kdzd{pH>s_>%Fm39v<~j-@o(vAAO54y0ul9&uuqIKAqbLY=6D; zCi3od1>3)s=pG%#K*48jt2P@P`>sflv#v(O&CLyc&q!%;u9&W_&&owpyEVtnCp#u|{NJ~u}2o<~KWs3PahhDH? z=r}kywhQ%G;PkbB4o>F(Vd}5Ls%pD0P#7!>N(7`)LPC)4k`Cz*P#OUN>25_rkS=MY zyBi54tCa=RLpkoj;!I@j~}zt##jX&N0Ru^Ird}DOp)r)Tjik_gRd3TTW&@ zf&u3=Lx~57FH%0>dG`?}7M7>L&E=E-;wM{?j*d=8N9Qvv|0Aeyv}&%dygul}{_JKG zh?)W1_eQPa69N<v7xlGr@zz2GHX< zJv|z1olClRt%#%s(P(L7(+v6Hzer6n5mZsZ`HoBP32T2374LHli&2V7?psSMtH+2K zQMvUW(wO>xB6Ysmw;3W;OH1qjjnw?2B1Y+GMr2siwk(BI$Or}iy?#$m6R)qYBi7_$ z36!&{>gvYvar~pr(Wl(#lKt6ARMK(mXu!={eKAP?7bRwRczAPwX8!H%eew3b`+tQM zaKL{#;~|1;JdW&Y_QmKg(By$FaSxEuS43e|QTZ=QO#NE*0!Rf&>^4VQp%%fFq#r?; z!GczK+|>V7_?C4GEe^YQ}jKEnM^xyqU_o+zVTKK&sBB zBYCj7G3K_mx_z_#bzwUg_QYC2#vpjc$%&UL9*lTSjAj$8AgeG94G$N4+_+!vwUbs^ z&I2Zd43S&=hqCXHR?Ci`9yT=FqTY#qxTN10JwDc=r zCb&xPhzRWeN~+5Hii!%y<1PFkQh^{SB#lEu*pSb}^z>5xV+*MN?MkfwVPP-8L4aib zEwn!Bj$uI|3zb;=2;re6ByS{Y08{|OUjR4g0a`iTuAJ4;)AI}@w}r(kga89WnHs!upvUwpzjEQj|kGvIVcg0{i)(s zz+v$S2|<6Ak`xz5iDNfw0#rA@v-3ZCU?L|dh^&+;D+-+9gOi=jBcdAimetaq#{eVm6KB5b9~u(zMJKM> z@A+a{W>Y<~f|LN?+`Y(9}{!CBzMk8dOgJ{BI)Il=r zjrSYLf8X5NDvEgS%BYBtT?-Ej51)tPs@n`5od1RFNPZlmxULCYUS2X<%<$5wm)wCQ z4oM>l5_2`;5}x4W`$3SWdfZ$C6Dx+cQ9R%W1QmrR4jL{HMKLBuM%XwgbHHYB>EG!r z{Rv$g$tNV?b^Kozht>ihog9dpWZ;LKHY=!r7#~5w%F4-kNc{cVw`+11mM8jc0f;Df zzdkd9TJjz)!|`AR&C}BpQMxHZ5)#mWqQEDtb3+K4{{F>;9Loal5q%^eAn@M?9p;2B z{K+Z4z^R}dH&g8d%k_gcrjTf#o5j}eSgve_D00(2qj^sxvK*P{rWw;e z<=Yqf!0G9NG5@g#_9zu&H7{z~YA$L?OQ%h=?5Sfm4 z@9?sI%XxK*r?0MiitB`zYQGpVKC@vr9t5cDM1p{Bo`<~A}2+>9|e;Q+imr;yWS*4aVpP5I;#XZ5r_4)DRM~U#`JI`;! ziXHAu#{qjsFfRjNa#vwc7E@i%_Mx0;jVHsm+;4(W6XDx{K`*ba@cEos;U6>)4Mo7} zfA8&qzn6Lzb^`wsV1z_%GLqK;X&!-}pccUAgvWK^YVWJ7m7Cx|Ek@`AW@csvz6aA; z?<-$H311mVf76LBis^L|B9#tp#)z~u3cx>Jv9Ylw!dUgsK@qMnpY9wlHR1viTQjO% z=iCb5JrXnK8C;y}tgW4$IwXz0L_UPx3CegV;J6Q`E_8^$<)LMck?G-@g4cUg8b>o|cDh{^cVyGy|ag#ucI>BAA$%uYoKMd>S1cH3C55grE5A ze$xE$_9VdgFetFP`ueF`mi0VW7bjFNUig$6_0jTR3u5vYgOV_kr`|lAt7_bz;teag z|0kMBAAoDqNVjmPC43S6bZa%bd%gFLKr8zebSD4(%r$jHb@cmxC)lfm- zpcE9lUDyNWKVTGkUWiXXfQ5$_ZB`9MzDTdtpBIRjS6}!6Tk`*T0dR0|MC+W7vfh=` z8ui8tii(PkKX-Eg5YYzY<30uk%q1y}&)@e%;^gA$2l$Ry47jZb;-C=Ul#~>x=l38N z=&f|e1mH1w{&LtQ3-3UH)W$}^@#hcWN^t<74&|ych#QddI=-H+v1_mr@eGNA%e7hQ zZftG!u6MgY;G}@Sz)0dK*lrGQq~rd(x8m~h9@{%oQc@3rZl)V_MZxn~n4f=+bs~TS zFahvGDLn@W7QElYFufRI=0R zkplfLNagnyTE~lYZ$qX|2VI=k@gGvQvcL3;#ffs$PINhltK4kZo-ba!7>{CMWySV$ z5u}M_H|vD5Q*Aka3y65S^U+2CAxF^Pzki9gNr{QC0?D!O2%gq|TdG6c!oua*!R7g8 zA*fj2AuKbTwxJG#&J+NGL5cg7b8nJ>+}ZweBzAVl4?xLM*4EZh201FZVxao%QM<$B5pG;3{rorWiVHwsKF_wL=(sCQL|z-+=`;O9>SDKoXOun(3C7Ubt0P!S;k zMpspFLJ1rkGHz~e-a9%{(X)jR)K;}8-W?tu#%IzKArYgvzaA48w>UrF2*1Y)_UPCc z9-tL|*VB-7evm1L3bm5}C9LYE!AI}LNz6Qgr9=Tlig=2&w6sv4nDtujYc;r|{f3_! zj}<+CmZa6w)+QD(cKHRcgc9&%>6?{}jSW;ncDmqHtUJ#+T;1GanDp-AnbW;Rr@e){Q1G!|X{f=bbE1Cr3LUNr1TR0(QnItN*E=Ddn@?3G zd#yoC*9QuIy%!1qeSNc|qXQL>@fij=mRA6Rft#5H78Wu9y4M3~0}mfx*T_g*PfxFA zpOF0%Fo|Fg6!s6-l_*6ZPssoKZ`Fj5slq$(_+2>_6ci-V6(L;VIlz}9J$m#Az+4Bg z{AwV5hK7cn=&JI!U_B(mT;tegD?GxtPz^ z%P1>HK)UrJ9cc?BEUv6v1q=a*pPGm0IYw)1Yk!sk`PSAJq(A%@JIJ7wRlx=!5vPLi z-i9kzs5IA9RvF|N&CSY^Z*adNlF4Vd?&G%}X)rH;NJ_tdz8e1B;u1~Y|#M#OZ zU#qF%L8?GrBL4?B-v!_`0>9$feW5S^OVoF#K;GfpmY}<@MHZ@K zW|r^u?ap(TnwlC&&ORV2BPh}f*?5WY7cvNx0LfmpOf@4d4U>dK765_c&2?Q^D()S@ zKeNgoAia+ZB8pT}`{ZOC5SnmM8Rj>kcsM#b%9ooA^9D)(u|VvfxVX5K6P7=ONbD9f z-7S7kA`ur7!v(4bq$K^>dN)*jW|8svOL zb9&jCq-wxSfYUbj_cO^{9W_9+fkwODl|<|XV#&OGd=!&~ylqeTAhiOjYq^r8#zY7$ z@N^J@Hd$yIp>#??fh?f7YWFK{(eJn_iV<)NXK{FloG$;Gl7iwdpgB6iQrLs=sQXx} z;e-(omzh5y?G9!JW2Hdp=CPQmMW{fir2HBbJCVPqrsCmAz2rd^JWZycq8cpJ7APw( zKie#95LviJ$;{910jUp>^RWCVnkj$6HUpxoAcV*avtr{V2FAlVDzPq!B4o*+fsk1- zVBx&gWI*m#R8(Z92Wr?2;);5` zs}nqoC2_cRxxxDdIXRtj0#{xja$!LlmFZ(B0DuP-NcAq?y!%t7pkUW2CfLP0FF+=qJ z{UmE30mR!p6c2=21^9+i>~xWton1^uCJ^X?VvVh_$xv1!XiuDO=d7*%I7;@8p7J`H zbDdu1ido_N{bZy%0i&9Uo$hQ>^6oZm43)bNnw?y!97hwC6SBm z?}Q|*_U;`m6Pe(jI*=|h&U$(!OiXCSgNSrNSa!mWgotl^{vR~ED{X1X23YV6Vv9Plv3poghIVJ!g zmf_@m%KJhq0P0#G$rw-9upwa3Gtw9~`z^JV-h?-h)FOzIL$p=$)S!v>^o4XZ($8px z4Y*GcF)>;eRse5>QsUyiP^nTgGJIlV34mRR0@Va;DHNnx?-~QkZ^XTEt)!S8A#i>A z6-3-6!4I&qcYUF#htu%f7la*a1knT=Z54Kxztq3>^1q5oO4-WUSeiAq$)F_LZjC8~ z{&{-mGf;G?AFpJ9!n>Ux&W{!AccM#Tx_<-{P|NTzPK-3-0-&s6)4z)Vf@=-^gyI<+ zl8It{6p$K4Wn}2P)XivB3%Vii?lUqAp1MOgDwTYYOi4{ecG@oo@Gw>9@)UZJ*Vh-j zsH1F8y>2GzTsRaULW<*HYiyTo$nN`cyRw4z04hwU@Toi}1&IcoI4~&ww0!yEf3)1|ni*XV?1s z_h*3iw17l{GBRFJN=5txw4!J06_O4F4!9`JNi_s2BmxNuiPun`#>UkAap`lGs6B|_ zb1U#5HR_z%x~u{8_ojZkGk;-oeR;;(Ckwj-Ad+H^G7W4i_qCQf$NKIB*f%AvXV&l& zz@SFZafE#aSUvgk1Rv9Cdz0a<%!+>W2bO5O913j|=D5bTWl!BPo!tdV` z^6~NIs20AucW33c9-z7I=@@1r z9{T`j+|WL+Aytx)xDRnj&dtp|*sBi`+v?%^pc7HdGgnd{RQx88Y6fMJa|#NAqM~qt zOd?9Hl>e(;nnVU-A~@+Hb~%sK^Vt%;(vv6f>$;t5D=Rr5qcnAN_(5T%;UN+{osWr) z9f0+?A^vmcI(t>H*#g>>yrzrgGO--H%S@qj)dI$$7 z3oRf6Fw2YpLPYdTOH1{kL9h4lidWCVA~-Tq#itMeq^_A+Pm;%VOuNDZp~k1Aq;ef$ zlzzd%egEvBTEoZG>Rq`GR(dW9cAflJyX;Iuv$6(K-E6qaK8Z|kyog{>dbmyYt`oiZ zb*Pj<-lWxMWAgLV?Bs$iORrmWOf)ekj};s*?pbdi-zH+1Zn+V~#N~4?a&Pu=)eb&6 zIM4@{6wht<5ZX$>@MK_RvLI)sOGRRluRZ(;usAs-MF=7oa7V}+h+1g+%r7su0;9Bo zK4D*9;qS6Xr)OtOHs`joTwJ>H@8Vt!+kVvjDO_G6`gd4STzGr3e7N;R`aV1NgRf!U z4RD}}XGn2$i?Waa#R3jiv&!uKUI8?5f7;U3ZUe|NAC3K1BWfw2Mud1jp^{}Z+xS2> z_TYX7(j=j89Ex1$ zQuN`NH2^h-nkSD`%vI=?_rd(?f(u1>$0@wDV1>T2nPH9#%2r?H?3?GiX=!Ocb93XC zhyK7?|M|cSVDAt36Ug{koU$N0#`C*zPp|0!@rR~4ETfX*2TyrRVgdJfuv#yFluTRh z`cY~*-^BZkb~l03%F~#gT|~@_#bF9l3}fwi*pX+5T*n9IS2a_*jpxLtb*OshhxlhD zBuOD5h!zegA>_d8z~~VL^~7T|;io$`>1N8tMvA_oAP@jfk89rlph? z@>1WuiD?IWMV?ym0E}0X)}wW?@cp-0{!D5uN^j7jVG#JOf$vc>W`~R5pU=`S^cy|z zBGByh(NVOKmiK_DsDU~)o?;sF@$>_O>Bwg}qdCnTN}15E2`Fh+M4(*AvFX;{`=8#G zd*R9u(DG0So~}SD9lsuRkD4$`dv~-E&$}L7SpP$4#@gOK0}5bFeF1>TV!hU}QX>q= z6n)Kq?tF%h1T|s;c5(0e4;#6O&H#H<(`1u&70Ln{PoD6#>`{{pb(ZHA!lRbHzWXY$jBja;%(<o8C zvT}SH-jegEkIPyB8>rpe0u37O2P?>cz`Sn01qZjAtYOL~aksvEM1DTpMH)#h_=mp1 zVGmVc?Q2;Gx>0XJ-&0f5?XlvolHo7d5j-tOYDpC%>bGOT^8U<8^D z`#)^JtyIBE%pLvm%7up7_v=^TnwGkn8g5a4Y(&=+>X0;0i99G3s6?EMJ*?@FFe7MH zr2G(1#dd$G1C{4xc5ZHJYHBldU?Ea29b&3}NTsW(qb+YNzllGyNsyR&B!p~eC?8{r z;-2c7t!K-qYR-2J8O(O=?-zfZmjDf4VV!u&|5na_hvVSj058gt09YO2Az(ZkR1&5Z z-!_5;Y6~Xwa6>(bulUeH=j>_`0XIdDw0F}emDtRqCaRUbq&^1IQEMGFyI4YOReMg) ze=02$8G2`#90cjKiwhfK(0)JQ^#LtvAVY?*4UI5hdceu)`r0#OR;0aUAj8FDh?T9{ zs#%m~_KhGHw6_M>iXamWt*?aIP57)K-U) zKk@QRe_v^?QDrH}WKb_c_8c(Vb77w%@LuiKD0PGGb7nBjExTQmDzjJvG#Ice9I6&{ zES#DAwu+iVW51q+^yyP^Am)(Z8v#%f6DRPxd4QOaxVHB3UD?MkB4qQhc%9WrW#*C} ziUcy-hf>s@7jOAIyFdQxip(GRS6wuh%d3~F1EMR)w=pCint36YOTCuYmXD+hL51T46@$oyrlrl)M10cQ+{saQaO+kYaX%fTD$$@le)l)B234xP& z?x!%nR!R>@_uD0A!lJ&()Bc6EU4bV=hhb3mT_qip44^#@9MBUKS^pL{{)M%*KVV*n zAodBlt<9`>Xd28sJTkHZ(8J5ii#lCX=P)bu&N+Xp`^WN6Pfq$~+KR`|C^rjh|D>+f zcN-*G5|P$l<+&w!wUrFAorbfYGs-&EUBu2W!`U=M^{U#6#OJXp*;7jd1gbPa3EmG7 zuEEB}`OUk}(-5TVb8Y6lZ5+*EVPR%j_P#~KU!g$lE4e#0qhGsI?fJdpXt?3X;dR8qVX`_ zqfWdq0b{UkW$q09`*vdVD~D#wn3wS5_MP{IrB}rTX-eM$qkM>XZSjnZR*71#%Mncx zmAS$jv)3v|?Wf~bzig6J2yfcs9A-0a_g3<|yPwP@b4=eu74OUAukk6*QZ9Y)#E5=Q z*j75$y8il0x7sO78`?Xi3X|J(zCkOUXrn}R?V_uMtn9mjR#zKqYoje`x`Y*%)f`>E zM<Mg*f+Rc`1gf&;-RiDEqwroGI&q8Y*ywL7r$0lSCR>Pey4RT$50kOpk7|CUhBbV&4zAEZi!nne98WGO;T*TnIbDuV2|4 zd-|QphGw=qj5)9-b+(29&Td~4mY$Gp2qjI4srtZ|PGFzv%JSxr;N-W-iuH`Rh{46R z3T=eJh5tAauOqeG<{nsD;7=h?b`jc`(eBF+7C`I4k+I?|0K^o`ERA4ltQS;n5(jqG z3~fv|H#ey$I!Q2uR6}=#V{){m#fwSbdZb!hTRRB>^qqcvhMpb@2C*T$bth5^yR+nz z+9&3O$|?Px*4Od-jL5Dh%P8!cZjHa954#u)jJg6*3(n5~cOQN56h_43U$N_1tg zdCAL5WMN?eJ~0VtX~^Gq-+lT-2dX{D=>vcvfv|l2@#86&Ose^#Dk|8Wot>2nwTNY8 zdMq%_X2Lo?fD07*IbiO)b7pK%h_G(0tx0_NKmi^BvHw~(%lL33(C`Ce_3z)m=YDaX zfUCT=uFmP=n7+TCi`1CLH4*yRx8$p>4GGstBW@i4*M3D+V=)?tP*Ssr%#TPH?zjGBq>nWj-S-Dez)4XRIw+vYdY{_7)8Iv z01r-Bm{JjuKoSo|5@Vi&5y5D7qh?{|7WamT5FHu0Cu;NZRIU#U2~h zj7K#bkokLkpgG_nV62u|wjh|yH0KM}+fHA#&3YF$Aj-DC<#uB#GWd`pEsb{js=)^l zgHIoHDEe%>h^+aFI1keZKcKhkb!=#Mo+U>|Ele;dn729Ra}|hK-CZ;`4{@(ZOvRXC z+&)zbkTPbfak`5Ywp{IVH}mS7znt#7U$p9pU7oV{%BF0C5nUwP^#Kj-N6$^q3cb}Z z_ra8Pry=isR{;AmO=^Cv|8EZ((|eySWN2>>-x}KawKDMNvUy?LNabsi^l~6mYOKo7 z=9?Xs>Bgs(_-HKCCx5)DP}_cf(2Z{!7JaXD>v!5)9OIH}bQklwUUnypqBJF(iK~^yWMN-CZrhJR zh0Uw6;2}OT8P$;x=(4!hY6{lvDyVB|r?Nb#y=`am7DcCHYTb6nv^A2jAl{N&j`Vv0 zomP3GkvnocchUFW?MWm?r*2Dvip{pHY#T@WcCNt_weoofkb2BLl3L`ouXSql8b6_K zup2FsdX(s_U_(7dzx`=ywHKPXm2==+My`fw)c$jC?pwSpxU3gBOGTlsuNLH~DhW+NivCT|ZX<}p4q zVlj0MmcnKb%k0&}%DvwY4KZ zcYRE1Ce%Jm#e(33pn2@BJ@2)PN5;jy2B-E;dY9_e<*z@2Ju;Rnb_67agvdrQu7W32 z0+H2N4LGO8dRB5S++?+CWp`!G#&%CRD)~rDosS(q`JCL=aZGvzHrpie_^RD);VS~e z@x<`y_y?>-crjE*r_lX@5D4$f5m>qWMRR3RD(F@?8`E9TpUJ}Jwp+ilO2L4zUXqfM zg24rvvzkaSVU`SD59mh3fBxJpPQGe83&wbGcDE()IQ%<2yv*a|_%!w!(cav0-#_%j zcyC6qly%v@zGxcRclO$Q>U7M4r(xz56rEFI(-IzE&k?PgY){;a*zaFXeOq+}@^A%W zI(hm6%(ajYW_Osj$CRdw*v=N*w8be)t~(#`dZs#Ea=#c{G_!N^7VKz>kCE37HI1IC zVGi`LGV03@`4oPV?w`d{Zg+PizZ?qki&@@aHwG|KoX&59(?lf(J6CMkTG_on25BKo zF=n`)xk2;M!eJ_7?MjD5fcX~%fYEJsHxgK3>8u5c0fzTl@uyy6bWk;rku)-Ws($RH zDuEjL20O*(DD3it!w|j(K=%09E_N>ys4jgWX1`@ zXGV6KuCuLs2WPK&J@vlHNTuf_;)cIdNqZltI8Jh6bH}UIW@XPMqwIRW{A)0;BSIY- z(D*taI&7@3;R)r{2@_kU&L3Y@i;LltRV$IPA2ooI| z{B+_(*j{q*g>EgY@5`@b}~IL(PIC$e8i z^$i+Yx#yrnIH~4IaEgL~*~46qGrIsuX-Zb^2ZbSO@mH?uA9;Mw4nD>38NC7(N$_R3 zi?X}b#t@C6bm{ZCvq!OnQNJ@{UZK&dh-p_ca(fT&FE^hgP9~#TXuKWQU82cGC0kT- zBq8amQ)SYqbqP%r57Nof_C||yZ*6K48h>s`^XgR)qL!KG6X!6~B=p#heK3~D-xsCM z%?~x3Ry$>un{88278VjsDCFVhZnO<44yrB=5P8mSx|;$hi|{5DE^l(M|m#6ORN)8^`nh$m6MC9 zBWEcnL!6H1Sm}0l(Tr)TvDP+i=*jAJu@SVPrRdddDztx7-QHA~T^%2tLVpsZIZ#L> zgHHAi4?lo#K2>ew3*Io3(SjbZjNwR1Al$yxoh>ab@}-6{(0>G>EjXncyh(qDhCV=R z37ogzfrO=GWQc*G6=9#HR!oy9m>C=&kAVh=_1=OgNO{KNC6s0pWxDV|prskoF`nQs zgeGdTMs=B)9iW5dvx8OeK7kuj5P&xL2UnqI3(90k()cj?6T|0XAG>5LThI@(gI`dPA<#drdPBswg8Lr{6vr?qktHx71mm=7 z&>aJ}4;V8Q0Gzv@uT#07Ek7+QjajCr8byqxK?|(p(>OB>#rA-(;Rw@P8Iv|PXv~uW zl_1BpL4QAn!(zs0`z9O4pXH&uz?vk;$HxbLxE8SJRNHOh%EW${x{e-n0|n0s9L}J& zWGbYJ!IPyLwTg|7)-g8j04q`b)zyctUE2b!htNbQrT?|Ri}dQk>$Z*qO~@0B*`jPY z6KjITO(}6a2m+}AZ`x^qkW1OzNwj};ZkCyP_&*YL(f}@yqPQ?0l&cDf{ADkCrI%*}1w+SQCFueZPh8UpV`z&+6kt3je{Z7?rr-gr4e?6?x zZnU5dvwbvG^aP}Dc{7Z%p-Ou!deKIaj)jRU&Ls1|?xo4%;|TY*Y79~vv>w{D9yaX3 zpXmw@G%m>{WFwOkWeOT=ten_2AL)T*MLL0-t@4NPAJ30paNHdMb*9=3V{w_+x?mA> zCHx>QnmCDWFmK3c5(rc%_@aP1c5q+3(4mZNMAuT7PbdYem~Xj#<2wWP#jm?!{U?3C zQ>fq4(v#88YrNH5*6+U8^c<{(%uQWQP97=E^wNhs~SGXo+GoVPbN_h`vNb&qGZEYUiS zFIgttFIrJ*%#T`5%y@+fBMsh7N@e9_F&_U_V&`h;Jg(x3453@DT77?hy)K%oy<6Nx zPjQh@g1|w_t`GAA1_Y`IBg0f{c)zmj*5Ur+PqfdVl>d?S4+e@J$u&FSVSP=kxaYPR zB{>)p6HR8Y@R&4KnWio4hT;O5B8QeUpr9x1tuYUU2vyoYPSz;)Hp&v2DUYFF_B0yP z7H$V@!{7sZ ziVT7Ekq=?Q`MY#=4_;1+2(fJ!9gn3u`LS$J#WD4j<2D;ZuR2Ca1URV~ENUKj2t=g22EppzheTTG&_Unu|b z;ZmgN6XDwd*XrLHsrHUGW@5hmp?-T=f?vtAUrws8w}_|D@-$dH7=K`td2n&|5&PykN+((CVvrpec6vIe0~fj3K?Tl;ujPY2qV79 zNLFvD%jh^q83D(OVLd@#+A@}r6(E7Q2PKm_|c!QInx~+IQG5O7f zWrI02l7w)iAR{OH0Zc5P((WFVpPilcXX~SY@ikkM4*f^A9haV2TeRVFmbL<+X8vVN z6^eUR3*R4c#x;{{g@zP%{n*IGZ{_%}lr|OL^Podhi`$M7R3f=?UBfl7c`387=r&Ib zcYjQ8ufw-HE3bT9XY!+|N?A9ws_(W+*GIRb7QUsMi`fS#D9&XTiK$-3G@8WbGY1P% z?fR`1EUKDTbvNJYsCqMLOg;8_J7}^$nq)0H-#pGgm-|gMN11xzV6;<}EJ2ZjnphDq z{QiXI*y)fCsS+i4jm@2Z5`$YYJKoj4(zwf`)%?Q!9eZ9+j{4%-P|X7rIqep`Ee#~; z!o>(Z+wn+IzO9lI~`x*xKYu!Og9rgYv1E{UFb`X zb6Ds6#9hftGMFK$IYq*&cUa4&7L?T9bTpa$Q#E$w$kcj!`LreJVAP`DWKP6WXm+5`l!rFzW%JCFReZBwVpf-P9J?PUjEGQ(82*;%n&r9J zt%zDuyS<>FJE?2OSuVM7SuT^71+B>%Ko~b#l3;>)^O)Yv@@zJA*hSpGtz;S=4b~ZI zh+YS{%Ii3w{4{{A@%=&$qku2IBGrLaa^;w%mR)l@o^qmRM4la=}HzCJz+Fx?QTa=!Yr zo0ErUu*_Hq+IOAc5y9hiWaQ`PhpC6Tjg5z&VKNwD4utu3gd^Dd(Nn}25DZR1LqnCQ ztGW3r^dbMkbfgwo*TMRU@Ek#Js%>I|TXomzXhQ`|uw1rlmzTtsIc%?pw?hhY)2Sx!A?ak7BB}O1wQ)~yn6;tZm+cK zyJ6lD2Gw4I9|kc@N>5J@2nnCZJ}*T>wh)G53Bh30HO$7s#-?H`%gDyoI;NHw4XQgC zfR{9Ix#zvF41%vH0rMZ=hlpjamAgvKAla9H0;tm_w=8$$~>MmL@-sZjygt02C?Flv**#nil`!fz!t@ z4k%}-`f5%MClODqnL2a={qm3pwKAwe=KABgitkgW@9Fp)cA%=>K(< zho2%%M=gi3g7|Pq52$24XTN6P?&kdbtRd`2$MWAwB zIXaC#is_k(Rkifwi}H)EVY=J-0k$DoSuh`YDU*2vV;8h$?^s2JHTf=@ZtlBX1Q{F{ zGFnVfAl*CM_|iHTs`1O|QQxM=ORU1wj9$Z8U6jk)+SC<2+Qm^%3q38l95k3xocH35 z5AirX&jco!$~+is?QA)>ED6~ByfP~bQK#W| z<*6|eg5wD+kv-h%0A5TpR^eTlc#2BtRkLot$QKFgC-jn*FtzB6*CgV&4*AqW2m`3d=L zI7i4^6`lw3^Qm&kb?OKU+%!S`n$oYo$O^=oTC@aW3c=9eH(;{IY zul~}X-|Zacue!jVe$Zo^4!x8N?W7rH>WAp$rhlvUD`V^xPAd-W9__i1lIIad>h_=U zu$qs3PHiXtI9p#=B7A#k@bHyd(Pyxo{%z30UqQ=}Sx@0A{C@wgoO{hpM-s#ISUt1R zn>)7V(_XEF4hzP_j+b+1yWv>@%YPg4cb;6=P=QnHH<|(Q92v7>Rf5n`%YLkImG)VgwDa!o#?LTPM8d zFqrJ*@>fHB8L2sw|EzN zJTEJd@6}dtXD=eumXPgx15q!F;pe+YCehYQ-8e%OSR^-Qa#m(%%!VxD zXlc%w$?M=T+|_7o$kI#$tuMT2TG6GZtUjaI$lpwIKY!D9^r! z;F*HTRmPE{k&zL!9)dhf(-mo8;!zmRD1#q~D#9r7I5hDRz(4#qPn`ukZJV#i3d~nFoh~jeN_Cs>WymF=|Aybj#KB<%@Bl{Jzkt-Sx72MB?ZiRm$TkikBlf!B(m0|(~9h%+?1yAH3cZTP@dvo@6d1mRIN8P4(7zjXK| z4H=N_&sLQ>LeK$6FL>pXz&Q-Z_Nc>fAoN^7R4IljFIXu!W&sTIq2|AWgI%M7ZhGgC zbPQjRez^n}7HaSr<%Rnz8=C`*nOBfV13(Up!lyuDVa`#%>;F;0^1-(cpT7IE7VPiF zPF(9+A>hH}?+vI+mAQ$or?`GO4|hsqsVCa0Dhosgwau;O*IjV!*+po-wi;dbD=W3? z+7ch$NOsG8Qt@MNn9&V(VQe@l^ih5x$1P{96hpA=zjAuYRel;E09EXgFB>^h>d)jF zRauVLnFYSX+UXEfi4}Xs-x>M5d&cU&P=#;yo7fn!jN-)nD|U?AldPAn2@@M`DrMZ4 zXOV0DC4L*b^0nUI9N#{|FIj#5vKQrVp_aNR;brc(J1@!$S}ucpva)m+sre84c_DRvF{W8prB_;iNazEAVDsh3}9Z?GFj#WNIn(A1C zpZSsxGI*-OqocoNtc>o~UZrAn08Thw>UaWg>&Q}nb=AYlQ`(c8Cdn9Vru8LMri+Fa z9Z52q+5f5HqOhl{+0To@6el8rt|9hF7`O|OGnmOV$A>1Qd*k@)4S~ATsavUzhul7~ zH_D&HSn2zI-gEwF$ZW#Q%wy`|fgD%GI0KR%CdQu)P^< zaF1bqU_R?$b!ok95Y>K*kxqrPdFkrl7`7vw4ZhE=@lGizC`Z*Hl4oOLe(X%7#G=}BL7Ov z8uzVgt3)9l^!;a9B~SkjhJUH6SvDc{6KU#}yg9ZmR1&@}8U-_!Xc);)nS+cio~_^E zM()vg_?RU49nXE0So7ZV^eC^vSVBMv!5@{U9I}aLaiPNZ7|kvvUIbRWrPx7+DLERg zJUoSdZN@|9cp~&P^ z);nP=SI+kO@=1x+Rbk`rO?Whc1k1SMpJ5U=&p*i=FTY_t;jN|4(2S_Zoh~97^IZwN z(G=d!E+iEw>~X$x=W}+bpijp|Kzy~Mx7FY$rxX78qpqh4rLp)I=w0F;KMalkw5D`w zHeK@V9vyiF7a937s{No}e}~`k8@Lm}^T_5$&|h3^Jmb=prkF}IXE?f+P@_Uk7B`_Y!9boryUj@ca!jAn@%V10rS9^z znZwptW18QS^|zWo(D=}p^TY4o6<_R}h$m1F#1HynyFL|jV>aG|7<462f|E?%3j11~ z57Dr{Bj{)FCHME*6?U(>;d9#e0+Z5)a+f+^Mn?AYkzfB{m-*+o^}StR+u80@zJ%9TUMsGlk|({DB$ln)TCpFt!?MX4 zSwc8|r(d(!37UF3K4L*kRbnaUHJYZSU}jtUYVj&FcC>p zz=K&an{{+giXumv^vpstD=Mb8ej-D%j&*e?$4YaHnBm{hjcDw4Yx#HP@r_yIcv$yn zKKuKl<}Q{UN3WnzGut_8zd&D4mzcUuL7Dk8RnsdgdWa-h&V2Je%i%P9e4FUPNee>A}xZY=edN??hu;(_Y>RDS?7%(3^ ze-V^wR9JK|roQ8HA)l9pTgOw`+FA0XXJc47!UX^iPQz};emt^tj&e7n)9#Jp%-<`k zrHf4dAnV|OAeobiAKVT-344!5ALBl5<(~8#Vq}|}S2_z|x|v-4th@a1lNzIUhMno$ z@!aD_99utUmqe%RF2e_ExZ=3Ab37tWG4I{h~fGh^N`$3q)d0<_)`#yX7?1K*c@Y=p_S z2M-@EfGc#op6WM@k3=&Y_>);-ghWJm1qGoiDD00@L0?=3TH~B9$8>P|PP#PyS?LJa zBC_O@ZxM6bKI7$$hqI&pf}FsrlxX_#BO@FP04JHiFyU?JPV^pfudl5kj!J25fW?Xd z4~1%>)-p`&AXV3h-9%2a<*G5cWyZp|(Cb7UH#q+8Xk+-c4s`9|_%eSX?}zD=D5rUw z#o#qVeX^Bg-nYFBrVZby-;%9AI>@a`J?{uCO$M@Hdgo6{}>w z6+JC;iMqG#_G0V9?7im-Gd}0kBK7DFH|Ng&EqtG?jOpLna=gfmyl-QD8DDj>aT{t7 zn7T^fx$U!`*B>2@Iq+;Y>R_qhyr{@YJ9P*w+2BsK(0Z(0=Z9ZqT8Sq~^X~zQt!uL0?DMl~JuvbGh zQJ4KQ(q>BIR4Z~Vl>+SG?cdQ)LvMz&IWlS`o>oo$` zx_f^ul*e zmr5_-=1rQ1e_YOENxNFp_Mq9GmIu>Jn?!UL4H#=kJ-TTfFEj`r$7Uoj+20PeTK70z z2wxgacT5hjNDbZFzZa2)O*4t|R>@W(>&WA{mxbFu2km!X#tFO;jw1O4*I7K4Ow^yO zP7()G(4S0Hq=rls6H~-rLd9R=$BfXkK;`=s$OBy&yY2$)>SJ3k#$|2`tZ*6ieTli4 zskS-US?YbCAnh2M*md$Wg=^u)(_wRh@k)o9l--ItD>scqSGywYhxF<3A-S_zeS1$| ztZpXRo6odFGImRw4JF_F0$YbA$AzmYh_<(}$&QZD4j%=*%%G>s6OIWdKcIHS!}U|9 zrQ{Rt_Fcr@+)Ts4TOv>S5JbdQn;RYy@&9A$tmCTex^9gkA)tUDC4zK=bc0H_G@F#z zbVxUdNS8>1ba!`mceiwR_gVXWzwey0|9JHGsO-A$wdNXgj%y6WhiKF~>@kL=C1c=V zikPbNguV`(F0Cx>O7ZVb$*eW!&o;^_)*Lf%gDcPWXgg^hwz)s&{!4fOd0Nz?eWPJU z7tc|kvw70kw;Huve%sC9&&s+pG8c2Or#e>c=oqX--Dl>cOtm5ZDR)hgN<&C^Lf?>4 ztxd->IknF3U9-6+nOp?0yWhPh&vObN!st)p_E}D+E8K$XspklWI)cO z+Hx^Zl8OrqN(JaMz`J&;-UVdQYo~3ozx?)p8{19C+GOk#KY2ZQYHyttA0O2OdEbVT zEzWTm4Udk4xard)22Zdm6JP9fUBY`>pLFqyx{oBBO&|U5n`myQJ;~fK1aCVjv`&^~5@Kx2|&RAC5m&U6x zYPO!K6ZudZI%%z<9jEseg`?x{wN%X1Gt=BS0W(vK*Rr-YZ&_2FYq{y5nmGp)tYyNY z{aqUE=>!42xdrnlyweZQow2dRuG6V9vVt~VBknF}NX)21db+j!GvoHPIJN%vM$F)X z0~kw3oEx8_b#b!#zfTyL@6)HQpcz_KM|L~Di3N*Q=+-J62ML@8du7}W%Z2Yn5&Le# z35bfw7X-9--EphKrkS{sBGWW&*~wU?bUkQ)`fuY2JUPI359?&Qumi1+Q!Z(dwDcR= zEO+gF)g@i6zEu0%5}%y7-p%IXy~jO0mfxk~or~-xM^s%{SO~bpCo9i=5wHo~?@i`s z+gXC`;>Q5SYZ#{>lOqJAN$jq)$7G@b*JUJHcXV`F&*J&HU1iZr7JUz3hXq83Rd6f? zh!IQz0!dTTyr0%iV2^|yIRRaV8NeF>5Cp&rcys_M9+>~ZoPE!d?)Z3A@ZVg7&^h4R zq}|HK0EJrSmPqO|F0cWPjC}p{z)dS@Vw;5m46#kOyL7j$a1wqBNWh z@fw@uGv1}|xPb}lF>r{^^av!HwtF48cct9)cxwh@2ddF$fwuboLTv=t#PjWBb0OuF zdZjfTkDoR(QUcqMN5C9xrY$}KPh#6q1}U`PJ19shQ&8^j0PW`D@|;?XFJquAM7v6q zJivDL{0PfZP?my+JE+I0R9aB`n|TQB2=jD>s>fm2xxETcmdVpDh6+ZfCf?{1ZC-GZ zNGa!};t16q?sjHS=;!)>_z{X2*0_&f=*L@)wpewoQohVrJb&*tLC53tPM@Cw-c7f{ zMO0QGbn|v#dwuA1JlyW?gkz~nwBoWNMe!B*TN=3)2$4C(Oe6hb9nJTPQ5=ZM#xBWu zQ-AW-;zJv2JanLwvts5A*fNHe0)_na*B+l_TqY|Srlv4TODqB&KA%(}K0MbD`lH4j zQOu>v!Q^AB5ni^7(Nt16FohA-RyH1fK4<5bQ0_K~!e+-7!OsL7i3n@%2&BInkQ*kk zEvtg<*z=upvsX79*P7*w%T^K1hQuNgm{Kk5QK!z&Af6h?rFE%-G zS)>`a6e-7BqnDH4S(H$UcE|oZRB&O%xekmA`JlV=zsIbb3nZ2zdw$&n( z@vf6z>qA{$4oyS^)!Dj>JtOQ3EfUT8Fw~n3VP~bRv`^K6uh(l75h0Cp{AQB8`j-IZ z)k@f(vdAHdw*&Q+rKTIdgj$IUyNa?T<6hKFMmit(HesCghp4^jtj#doVt)9RbB~n} zFQlpddK}&Nw7ru`Jd@fv$wloQOHL`jZGCM-4AaKG(8V|!!4CFQnVLKRTm?_&T-?xh zR!-AW_&9#~v%hq4aWOJEDu1m8QD@2UBz7jh$|J7+H=6Qxxj7`ef6AU|6#J8w(y!62k45bn_;*&AF8vzL3N{jd z5}kYL^>?_l!wOIpCI|Qj8T72vqqaLmP|! z&TMiA%Uh`32?P7foeBe<;3^qC!vHhe$A1snM<30=t8^oM_!dchEOS&PHTiW2<@@~%#?}++qy|!+^|0%IwmcNzxD;9Aj zdP1)~D=trXf^bJm#haivZ_J~;rgs^h*@%vvM$6#3vZU19Qd4d?FVMjAN^dqxYkhNL zw6~gBkRh=U!=z}aG3uA@OB$g}1##(c{PFYibMPgrT&rosGS@g7IlrjqSyqKKjeA-x zk&&?mMThKu)F1eUcy*XI_8r~l&glVsTihr!^L>{~;c}6$6eJLAb<+(qTut`5FVUMG zx~z9L`J;yjy9>z#`(IrhpYmEPrBp3^*AX9n&F~D8^-Sg?Gh5Dtd&B;s`a^IyAbrBM z%+@-Q!Kj&VfP^c#1;~WYu$THJ`}9boBq!@ATR^Q2h#k5Bd;z%VU;+vkSgleqEMAS& zJ6eIRH~05{aB#rI2>%U0LEy;Ad-_s#_V&^N9N@ULs%kSmOh5rY;DI)8EERXC+{??W z%T_6JY_ot1=!#;1)c^yW_VoCJ{^2P2d0^N`Nb~P*aAN$Bn6*hr5NxrXkce?xX+r=s zX#mG%2PP}n&!pwZ2Z4xyQdcq|XT9w0?Y(aW5b(doYQLm66c(EL)t~l6BVl1hNO~sW z?I;aM#U-I=UHVFmvT1vSRBjQ4(}nMJPruH|#c0%wotu}3*RQ91$QMc#(29~(d;h*M zJZYC*bE^4Fai zLb6kHjMy^itNPK#T%$&Pq-uL=(AdPov>Tk-aFuJykjqoFGZO?`X+$V-X9x!3CW;6i z23R6cc4WI?Lj`BnhWo$Dufy4UFAZMst3#8*CWNr zxAF!X6eJ{GOZ@fYbBmETT9d^wDznIDg*Iv&@Bm=B29mZHyIg&&#CbWv+%o_Y14FWHC3|irIxYe4a1m&mUAc zz%!xO)^wq40|T9-838t*d;$6!c7;ECT;h-OUdV?c(n?nGDfOOZ{JE9w>Dfq7#8i8? zXYDL%i|}w=cgB>MhVrV|F>QQXQRjsF;cn4LJVODIUB%&6vD(v~dcsF1L^?~%LPV@_ z+W^Y{U1Y_OV!Y5<{au;IHwGVD=x8hM+;dF^wAjhcM2Oacb5eAB-C5YI#{tcJ5kFK` z6&)e&%U#EX7>!+F?zN@$p0#N!7yI}$Zf4q1`R_iwyIZeHp#FsNSL@@KwG&g>x(gT^ z45xIxMuEPEOUm9Txm-wBxFcNX@VXu9@gXs2}C z2FjYrX4wmf5`$(e3WA|7ZP})C1Sr+i%9-PC8W^NU2rp=VQ1#A=XN;s*g|u~%P*NoP zsENs~e8-iLlFqQY?2nCb!xs=Kbfq2X^a@uBJ}sgQJGhl(xKo(2iS73BUAS~%<}{bv z6I926(#35|MMW&%IMRcJXv!CSm^LJA61_7GkE>Xw42@ljRPnB|llCm1RW&*~KW_9a z(}mL*n+0tD%ZzhuOw1)xoUgZWc2T?xDUd2RH8iigkDM~I9JR_9ygTHJ$ljM29N4O! zx6brXdKiU=ppffu+7|Ik${WK<){(|7uGpPiwp;H3)Z)r)gh%EbN#C1@&n#ivS(5{J z8+#qgSnp`u8!SS;m$Usl3J6h~oK8@`EQ=`!TIn0TsJ9Y?PpR@YMDcy1%5$yJHM8j4 zvBm8jRMy<;Z(jbDC`V?wRNK9_oed_UmyRw%f37@ANYh^ty=c5VdA3k{^#f`)wKiXY z>F2p9S!|g&>v{|rKMdS5nXc@(MEo9UBc9*HsaFvC`~nGdH?N+V}uK0wwT@vJ`yKEtR-K?Okc$_}R8Gd)Pt0+*4Q)au^YvMOFa-lt2p^Z!Wq z=C{z`*czLBhqChs8hp`!iu9UD3V*@T zN%BwYjOU%Wxuk4&K%#r#FGiaU{O9dkg=TKhovoOi6Xj5r20{!Fen<48Kk(_)V;(90 zs#M`N4*2Kik@TA^+Wkry1cDjfR?vWdah057%~a5ww_(r!#MU}7<3A;{d$Ki4w}AdK z+Z{FTq{;nE6cAX{Dm;)tIFTK_KcVH<{&)OZ?}s#N3n!*K-+6%Oi_uK`6Ph3<&E}wV zE8%Y3 z#x2Xv+vIQ;W-cdOm-uf2A_cVOY4Hw|I~spae^I?!>Jz#!9hy;t91m|KNQ$n%)$nK^ ztwygtM9RN#kGkNsFR9!-vnD?Mx6b%@>x{tgZW?-U`7p7^99+~c0NqNB$iR*KD=8~w z)a}(Q`5=rPNl6`;p2%(yKecsg;pxLs>+HOLw?_~32e!PzI?EbLw^|1}L&`3gRuSdv z3MT~b&QoFBvG~JJ(rjZU&hy!^g_2FjWr8d~5q@N2TL<_#lx}! zX$^qz6yUoYP6t#w-lLqOl(ZpsVt$uj0A8ol?1AEY2LvqO>5RN31j4qnvom0769RfN zfH=|!ZUIa_Xkcf{CX!Z*-vonxvo4r=2bNe#!ZRR_Z%Vx{yXgKJlzrn%j0e&K&R=R+vqP z0^C?X*)V`C&H}7lZt|)mIgFwT819VP4LKu}oSZSs9(S+6m_U^1(`jE*A)mz17gC=j zd!=pAB6?&n-PQ~AD#CdZr7qg?8}4+w75g|%s(eH|d7$&2fGZ&_pJCOeCT&PPE8Vk5 zUMK!*j<+CjytpOi`+Ia;B1PL1=%Ijwa(%OBdqhs{HH+VaPU!5AQdocmG*d-s@>B7a zv3g3esz;J$h;;PMUZb*6zEVtJ)9@Es{r$@<7wLnqA#|+jC7w#|@wIW~C(Be7>h9i6 z8uwtGKFlm6p$l8A){}Y=ersg*alCzc@u!)5uP_BIq5)CE6(JI<`z~)TM@x*D%3JmW zsEf6-ZS7swz)9thhPjy&7Dn*Z^XG3r*}oGCzNp}Kc|yqc#tM+`F?d=uYPgCJq`aN; zw>^CsHr&yxnH33vYcd$?@o2G|%ZFk#A89TYD?w*3+(G-Kg z+ttX+qV)|a{AQ-uHLsVN0n)nH#a?`}eR?9qR<%a6#nr1hmy^(`zpf_Kf9D6^ha-0# zp>FQClY{5JxiLknx9l2S7?e&D(0R{uqb5JT6l*c92XQ}S23z(u-G?N(OC(z!E-&99 zO3B$*OO)q!_7E0NoLrL~v}88#`p0L##02yPy9((w8j~0g=120JvD_N?m_a<~RlDcO z^s*6hkiXv6lA!Ut8JuAjB}kh%{wO`0udcYD2@R*!a6H(EPHvuC>+c&f?8t~S4yc%E z*wg?e%}j|NGtQ==^rPD|>tUUoec}|zn(zAhCX351J)>srP}SnywxAo|W>%)v!o+(W z2~f-PR9bWvCro2*ct*Vq+5}N&9W!!9YwFbqid$|Xua0&z1Ya^AdNm-o86gBPA9oH<@H{UhkXI za%HwV)$PqAhRe}vPbhjn_Xh8cUz}!`=r_q2)$U zjaFv8N^GEO63}tRn{D$7D3p>dhlJb2|Bj;5?XYUyZ#?_^S{nz=%23YW3uU_}>gHVf zA04iKGL7(ogH=gM1-@nXE3GI^CV)yz=6LE@kd=+yH9M5oi35fG>Bq_G%^=w!^Q8(1 zQMl49Se5>ETsv*r+2sD&i^A1?Q07;DxTixssxWI!{DG07U_7s+LNzwF5Q$jXQ2Xxq zH`qV)6@DZ1jt<4YByJjRO!=6_pe^>zm>iuf9a83jZE%$6N3!Qr&^-DVrAw%hMelmp-Pu3g7m7{V z?cm8Bh;I^Bk{LdWX(TXvFELy>u~X=f>W)Mr5I$__{A^28t1`iT=fN-jbokzQF@tF7 zum}tz*!=6@4oz;BoJj}neYe0+Vp*{3#iChLg4Z`$$7#PM@fK`!^tX0sxjTBIgWA42 z->6r@lFKZ+kLZ{0=@K>AQ=#cRrtUhs9@(8FZvwWr=VNtL2B_{AJfepme|4-YQ4Z*M ziPb-It6O(9by6amJyOa|eq7|mc1?t=36OJghNZINSg$8bY1XWWJq4TvxV>rjEjH@A z+M4%x!WzHTx-nd1tlYx-z|9`gGD6L#`5sce=GdfGDzRg`+QtrtGmIA`POi5dEOPI@ zgXonSZhn37LGb7)LM3ExEMK24r05|_*UD-*JJ}-;goa>IO8)~eQ<&xq2tX--iuCIx z7N9BU0a+a&9%BI8`}AKcJZyA(H@}z*2sA(@@0{1L->E3mE(h>L5FrUmFaa!LQDb9j zUWfe@01pOj>hPo_S@E9!<#5o`0dwXs3@K2@0R)m-FgrWD8&J$Z2rG1ZBo*d~1IRBJ zU*`{n6qxtUSD<}NTi@C`187NGkU{hO`ExZ8E4S?V#1ERy8DKv9t$8eMWdREzv?zKTGHyu``V0H6+R$bJBn zSOx;afMX4h-4q+pnx*5}0swvJPhz6h?$%_bd?eTp|0E>zgIRZOr{fO*Xt%cLxD3L0 zeu5deo@9QILWTtZhxF&gFAE(AQ{hw@Qk*F}@e)l%rO)s`T>Qo~Gn8=vi{g!B+lL*Wc1e$-jHEJd;Z<@Ac=L zA!7ycw{aa{v(wiv=-(|5t9cVAZK^`_C^vq6$`mK0H|lTt8{bRphUe@9Wg=6k@0)vi z?_(!sx?$myEpOa&D`QndcX#Nbk#evW`A?2XhFPv097m(OvJxZvKOMEwf_PuNp{jAN zY}ia1WJC<6s=Hgj5WpKHXQ3lwXf}h@bMnK9QH-3`Z5p14%CM}gcvwoKeNaskSJU8P zR*axOPiTu^YNCwOaK19TfalJCel+*~?eWi-uJGLN3FU-v73(Gn>I$r$_ch=ueNF4x>Dr>HdTCa&p*(^*>CB}( zL)JY}TV8n>#Qrif;?wZl6#b#{`$SHff)n7VK2 z=@b#;;_=F%2R2H)q$NUF* z9kA{{29NuBD4MyUMi-HDu>~WPXZ4b`ynnwBsWleR&vGC7g|GAddb*JIF8Q(7xM;bq zeaTyFRs%yz;M}_j&h6?U3nfm_zO<_1+uXIh^gF@8e9og1iz@-yq}r4nHd^bAO$*Qt zb$o!Y*&|LV3jw#I>a?ug!ASIb!6L)^b0$14Q&Kpv6Bnqlg&ii&_s>gZDgeoCBR3JY zOIJEGBzv5&-@Sgnc4UjY0oDQYq3Fu~QAK&)%jPyv+#B2(ZxeF%)&inBrLuQIo65HT9Ui<5DGtgC1DnxGw-(ZD*;UT{ zb?oP(veTem3hjPy#yVIY)ZbsQ+7Zz6y|3|VB0|j$$#VT{dN))UKhp5oqH3RCQv8}s z_E4>`teGi0SeQ1d%8GsBgH`= z0~!}to`3n!e}qD4FNs8w9NK%H+n zeH^6W{zM1vCJNPvejFa{HO|W?kH47Kw_NSbJLRMVr|&nHKH)HF2P@G+0jA1)sR94D z2p_<(X(a8sf_Y%DVU&ZMOAgBg>X^ijy3fHOCO^{5a=t1A9Jo%FT#uf8gF-vO6918d z!w__QCki!GNo?*xWS1cTU7qhvqqDMhru+ePS~8rVoBOlj*=A2cIIzUSxVixM8-4p4 zXlq6QIt&BkzX>R4&;`uDnG#*^1{slId3g}~5(u_BK<^<3j9#$Kl!8DtUvy&G?ocKv z2Y|{4%;_<`kgKncH`JkhN${}r2QaKW1lYK>AZY{$ZyOyiH_V-&so=LTz6-N{*GRLc zCmbMI!(7z>`18A(F7Mrlu*xUjfF_RoyXkLT#3X3T7jV=gVOOVZ;&MSINME*V4spV8 ztJlsL55>JgV$x=nQ<$naC-om%)Y%-O9;W8O7SS;otW(sDajQAt#r$gGQ0M(-$q+9fg#OEAz(HKa`}z7&MdJPe9}kk`w)2@xc{fd;QT9cv!L%{6u-2 zu-q*?2$h0zk$&QrTx6bAG=<{W*13#i`kJooEjaS^#z@Y(Y|u1odd6WIso7HDTwN;A zq|>~0PA*n>t6$AF2Gumf?W%NGnOakFSPoRKe{?mexT;$BLpNnP8xiWdryRG4$KNg~ z$;M4|)1I@;pf!KB+n47Zja>Druz!8oTg{#_P}vAn3ocWox)N5!)k{;yb(j)9UtT=7 zVg?yfMj%p(PirCT%dOO#t&BWp5OPj@ zZ!g}{L&3=IH}|@$^D(@CAPNIJrgc2hydc;vN7pJiq|~J=>wMo09I3#D^L2a)nd&T1 zB9|~ZTHIr=OSRf2AxP~TG&?%RTJa>|z^8FLas`?YP3h68e_^WHO_Be$ z@W~C<<@=X%H2a_d*g&5{b|vZhq#Cr#A<7kNvb22d-ikN1OYNDOj|Q?Sn;*{IOXVk` zMATgnJ+9!zhcOh39bRevjWjc+B&S$&6oeCVebQ1`tt{n8szgPwN>=il5_!D z`gfX6;z?BY6KGg;bacr#%NDXU{#9MS)}{c0xsdnigkiPEBC2Rn9(pb!2^U!bv!$32i>cA?=M|N)b3<_=*+kZ7 z)&xB2q;89YYGdQ@Wc;(NO*xv-uXpnaTyZ-m!ySky-P!L^)_yFbJ`!q#i8AK(=R}HC zrAZ7AW%rs2MlB&s( zS90_N6LL{BLw%c{#kodHfpLW`JG2_9N~MotP%oM4o1S^jZ$0g|_;CO79y5-B(->?q{vcU2Kucv3R2ED zHw(@fKZR*CA&u(BX3b3*DL|xp;VXJVN)uPNM8q`{ZL!Q^*F{<}xKC?Atb?bl8U4u0 z!U9Ye-5{D0bmGs?BQKC(b_$S32%vr-CQ`?eDtoLb4)BEmJIvb7E(37cn3lV--iU(} zVV^uNwX~6i5Uw*z>E(izUfW^T8>M|G^?Ep3ScR=+8|BiNE^_=i61tldS za7;RLKLbgI;G_YfoPinC7kDl7jI!&nh2{HLh`J9Aa7ekw>gGbc)ODO7zSvAUpozSdQ|-EAw;JD`|D#yHeVMa>A0 z1#iJu7&0=cGF8hbHQ1`AqtUcHo#AQk5AJX9$5y;#A$I2*nO~8T!xQBgkk)K={;}Fp zyy(h2W8;2Dr>|w2XM*ZK+(Yq!QY)+2@nbHwySvEJR=!f_j7}zt`Kzm>ERv|S+QL-A zGLdlc6>9}UufosonBEBy4zN9i{@v9224DshhF>s8&`3_TKcze`Wg7#dCL1yOpe&>h z!S=KSi4D+OeW*o2kUfp3+bjD@<9$;}ebvDz5}*}b*O?_%WwC)0#H3i){qFQ@xTo~z zO?M9;yM4nR@9=Xpe~L(iDD;oLgH6k9Z|YC6^IQL*ptaqL zcjoUj(I?{X1kM58|n}W+;`oE2! z9@;SYPC7{s0%(Tg>*dB~9j~}eAkOAAHDPHsZ)MWB!XgLw5ZM(}GE|wqqAUbSsG3C5 zhM7aZr4`Fu5#SK=l{71ar~*hytGJGzBO5ikA||rg!63wJ(F~%SlidzB;y5mAy-cmG z5n`lm?e^7>j|-@KM}rX0yqvr(9c6tp=;s&}nSOFJgA}2zJJ*>dI{WGQ%08MFV*($oMVdBNg%{o5V-{zy=B+_TcIz zwLkW)Q)jbgPY>{I;^FA3t0-Ro6BuP`meXeQJ4zR{`SYCPR!{qIM5JCEs`%DuDDShX zrraZUxq@si*u$&(2TXKkcr)5nzN!-+C`9Um(49UqKDyd*eR~>jkEI^4(=^+xbhEu~ zPFZQa8N@h=5n%9ev9Ld!*@Io#{hNAdE#{qdX4M{KK9InnZ`5YxBo1ySfm)14xjLLX zv%@HdBPU9%stg=@hJwkadxwTZb((FkvA2ejQlskQ`f>vLzNnd5O{tGh;*8F<2bUW? z=CZB1tEk|p7HR9t5Qje zZ1j;@{cMitWsNUwxkt}w_-vwrGfhtG-RlKc`LqTgKeO`I^^E^B2}pskD;{a4r6r{^!(=hpe^#TL4Sjm~C;McyQ0M>opqPatI)%;(5YkJg-bMFoQmrUACWI6b~> z&?Yo5EG;eIp%MY#z!M_~ot&AOX*kqH{+~yV@W&<8|M`6b0$}8<8Yon1G>ai1ChpRj z4&BT|SuRvEPl@P=jn1Z&ghE6^U3@=)wWn>Xnz~ZUT7K09p*w>0EOH3CDQTe3@-?xn zp06xQBoz}ByH#Vss->mF-}APVT-s5D!Dqjz9uyQ*Sn;T@4|V5_i?N(3G6x^{W}%?6 zQs7qFL#3>*cXi$Wk!?mrJ|oK`2G3;ySEjPn5}NFEa#lAB@Bi^d%- z+J`$76Uk_mqUaV4lE@mF{e?I3WekmISugn{`xJO$l)mMZaj0mi7K4}OQ<^mJ14Iq0 zm`r0BL3J}!D}8yurx|C)p!FAG@?d0O0QW89?lz>Y?bh{dDw#HK^@i$yp7+1MeARxj z*7&1Eqa!!vh0SSZgNADP#5ZUZ9r~MGdZ;n9FK?Vtj+BB)N1YLx^P{CS;t6C@4*n2m z%o8r+106vSQmS(V${v5=ltQgCObR9@5P8EOoR*jG!|*|fHcDY~Tsv0ac5{ubZmL9y z>*@nXx@6ZeAAd|GZc^l&<##gPU0#~(<;x0=Pvk$lC1xeJp062Pjr4R1Lz6ec3+Yj& ze<*1MeZvQVSV|X6n&3nKr=ET~jsJCHm|YneEMppA83R{$%ih*-c}(w6Z>HzfYh_X} zZ1ILh9qP0**gq`x3)$je>}r2!Ra!bYuPQR+N6QlyST9LBt^QpPPgO zgKD3x&2zCf)TWozVvNLEO%+g)Fhlgo+#nll6l{EdLgpQ<&pQM&vNA`3Jf9UxERqcf zZc&S8-IyGf^FGTDpH5HDj_n-vS98MRKHB8`T>aM}xOKBTul&O2m#(4d7e5XL@c*en zvlQvyekPrC@|}IawCO?$(fo8V{qi7+5)J!7@W|*JYi7QMst|TvA7g1wd*b_;9~L*ZH?6-)lpc2}dOhup1TpFhn+! zQ8O#X(tUWjC--k~WnQLULRw;U23bdiTjphmOWP*D*!9^yRAG$8c(#U7(f1-d-D*t% zdiCh+JLvk_mWevJp}~zWpPPB5{R*G6ChRBH51lKK?wS%ovnJM`ICvVEH_ zafx64`=jNZ@3#hA45uK_KL{w`W4Ccs`TdvDU_%nGl=pYd1mW#eb?2D4U-NS;yhpPS z^?sAB(~AuYWxG{(oTPDK4gxI$pZr=w_D4r?PEmQy=!0q$e1?whDcMneb#6@(SvK`_hg%WN}%%W;?J0lY_ z$$|4zU0t5yt|8Ru>?8eiCb_G=*ymo79j($~Kmjsudeffm*XC4Q^eX%%>>f~s>K~Ue zlkZ9`+gvbbCbG7ByfVCh^pmzY`sw4vA^7;NeJz9D<0dDXFaB&=V>tFsm3(}@{$rze zkZ9TS4IwqNHg(rT@R_3+OlKF`_84U&cXZ-99=CFb}Wd&*ZaC;TRGM zxQ7D?#@67hy23=gS#5Sv?9p(c;po`f5jr;FVPLrR{rX(Qkp97IeZp>28V{ufG&Nj8 zlYD>>Y6a3xrai{0nLFBnZTr}OEb1r$j428O2Eh&ctI=@S>%>w47K z4a_+=U={~9MhUL9e?ZIL0B}^$-<3UR0t7f2X=$|0&A_^980MwX)e(peAb_151lkdD zeg6S6K49t4O^ZTez6UNX zR%E*|dG*uaSf9w1_J+k|Bb9IhH{p-WS53sq{gBd+3KJCScukKsTA+#Q_1~-QIwf2y zs?VgY`iYN}Par~zcseyAY+%jOPRgk6(aCQINvM`5-J}*eX;FQt$)-T_H+JMJ5%)Rh zg2orsv~Kpx#VxhIwfMY3lJblgeOEQpCjNMXGv5ghr*(9>YP8YT6^=6O{paz}Mm+ut zTcRaCoq~Pfc{w??+d2*Kj*aUh-8GaU3UeI4G@q*qsvV~ak4Wg>FOJa#l4*!%sGhDR zV$0Y~^4e(0TjG#p*nr0NOcq7;&|~f?Px8=1d_{$whh}Mpo|SfrWbAw;!6xFIc`Z)= zkq1)=I11>vYYd=OKx`jhX5AJyYulSt6kE1lJv3bJ8*}Mj`2urzO1tXf;?8>EHEA4E zI4MJV!KWLHsrZs9ZK}3gtf}Odgw_#(#XKchES#eGuJ#_|*H-GH)m1D=vl7Ht>CVfg z!3ouWTNLYqqO?FmsA1u6ZON6G^ZEV2sCVwdn26M zN9c=2(c#sFN?zF2=y3$fN#3^@*H5}YAycN!ehFfP$jHfmfn2ZgbTM=|knki5f@Sf* zC<6%AGQB9bUK5o~;tPn1iW;j0BtEhzNm#rjh{{0v1~fT9{((jEHr=20D@bj*z*gxnDU4CH$O`wRuTqpL*@~IzVEOYtbgOG4KBr! zf5pgSFny379%NE$Flm7s@h2obu4&;rI_wMsdKEOy?n(HQ%7}2&RI~0X*h0v8cs<%+Ekscp zIl=b)Cozl3`N!H7qL$Itq)-bDo5L|>8{0Evl$R8gm-z6v=YQTEKHE1h*qKXZ=$1<+ zqhNn!%R1S7q-excW^z~j_u8H6wS%&1y;RC7*iM-X8&SvS>VN-<^Q%oYzvF&#A}_+Z zjV0(w%I@x_%VMXyeflD>x7}y-UQ5bCb@V*fNT`@+>bg6FEc^?Z5f+75QL4-V{+!ZH zCgeTD>y)g39h7sjzb>c>1ikvUTHBGM@2^p>ezpNETq3#1!n&+{W$U5)dL@5H4HCV;-f!*QzK7yn@}Y=07pXh0}Zy-wu^dDoTuie zx3f3H?M}l!9n_l|E5{+N`u4)RR#;V(0_W-JiNmPb10;}Kon`@8cs1Z`0)uS1$v7np zg~?-23(756MClI@*pUWOYeDz&X1{zG7Jme^VvsYLMC@_>OkW>j5}#%h)e738IXcb% zxn@AmmG`Kj9qj9{#7qWtY%6JaQ1X8RSWs9O9kdlcgi{+X28V`%0BjNP#RH;Mrt{e* zES##Kfc}Ob91tR&eEIT~(MFo{ zHFEANRAh1ik^nNQ$FB5vI`7-d&8|e(`?4)Knp~6p<*H|&B#P1k+4VDqJ1Wx z5;#m-PR6&8(OzakSvPo+UrO`_-`Q~xpYMotb1?MVg*`8hDbRdLypNm_kpB|3zP>*M zvP$@JtNl;z+VQf&`L=O@v1TwC1lorZ84B7=qADro$a}?l1_&=CSC=&&8w5RG`}!i< znT?}aFfbU>-w+wOYJ4FjE_b^WF8HzM;YFU6(X(;y-6kO}yD~G|U&G6L{CPNZ;T+u% zHsO{5EiqdB@|8q&l$<>C_uu%glBOf@7HuM;l54Pzzh<6jYltO`^G>g>tmb^@V~2rQ z$hH^qXzF-)V2+bad)D}={M?D|h@bqmnYG7v*cfm%PA8N)Gz#3u_6AuIX`pNO}x8r}UnqXQPjFmc#HlFK^ zOJHx=kd}OPw4xecTn;5;pbIM`o_h8cs8^|v?%(y1GHrbj&t2ull?jg6!!N4XSO2NS zy=I{$iBQS6$|00f(xV*OL^N1mx253=xIWixI0!ag*Q4b^N4;PEfCr{@AJ@b)%6gpm z-!sU%jbY%Ty2DXc45i$OHY;qTN0i4-O!+X?)semFz1^$r4U@v$rDFt^uX`K*stE`F zy_v7=va@82eA>~wT}#4pJDRDw`~pH3h{9SBnIh)C=>Si%Klqnsa57qhBh#a+k_If7 zS+@g+yDFzLC=Ki|4DhhVFR;%{%Mz!?2eHD93*viQO$%i92?lz!70|3fSgde>XA4NJ z{fALVI%^~0W$NR43%2VON+T$Lfp1p?H?fo{79}F{+9%k{Lh>)i`7@YnHvb_ zZ_2DcJw0Y0@P&Hxop=tB^bT*GnIyw~U2G(P+j?s3JD2OCKF7pN%kA#P{Lu0u{)ep5}hy}Lb9-uMrL?!$+0@mR1G+}_^8 z)M`%7xFjR6inCd$yY+T`0shfgepinEXoiU9eoml|gOWOj-}n03iNk#6t7$#3c7nvq z_nB)XBxP^dffOXUWjgU&WJ$pDv7w{MXfR#`)Z$>Y^9#9x#eO^s6a|pyQyq_%DoiI) zz!)jG)cqnNuz>Q&V1EyUFcz)5dqGg!jIOR{bk(T!lsyJpMSQ*@wu+%8PK@l#a3~r$ z*rb_Wyqfu*;MqQjehIGnvNd(-+ymgYO!ZAHQfD}S zI7cS+46{wK563HoM+)Ncuk^}>Yyp!pb#v_21l_`y4X{e-!&m18RFn-5ajxVL z{QrEUCnw)Ng@xWboZAJQ`Xb&AB(U8_xmWuGBOhp*_l+AdeOFoOQIEuxprMB}r%yNl zFA3PLR>Ghtw#wm0KH!Z+%Y!$9I{gsLMfdK9y7nR7F7DHi2bdEBQ)r*v6j10kr87dq z{M4s0Fs?l}!9u=J?-&NMs(OH<6Tmq1LHiW+qVt8F0cQUpGZLVc1>;V z%GOplD63#3P||QPbOyX=yLMCHY7XS{51+J3UTBJkeYgEfu>uzdT;H!C0jG#{>TXlB zTJnxZhK%Ej*#>LIMOlZB(n`4pdGmOAY)fJ|+mj3-c2PrbmlP$lOc&jq4T8wPS`Esf zO}mQ}vG?zQ*gNY<1?(AXc%^&KvZ**RS+-E_xBjCjKUot|^gY7ixa2hkhM@>K%Y#PD z==7)pmrCp|E1AY@N)`&!JF>QBb7epdvY1S2aN#Li>!npVGurG4-q=LUBUXi7xgl58 zOH|ho#Qvp1*<_ch?LA{_4z>V@pU{nyD%@5UN7qHvV06p8gmC1*@qr>n>LYC)+J?w~ z84GEHV+({o&e1Ng9oZZ5B2KAOCLCPq`raA9xx2?ro23QD+@e`$wZ%%3aqm9U#gx}< z@(4m$F37MCYx=c(gNwwgQB|NdbSKo!qT8iuIG_$txP74zf-JSo+!+}tv_OfS^UlS`+5cx@DxotmIY+N0HtQFZF2F{ zqjY_1gp-pY`XvWbh!f^0v)khVB5cGGOzoRL0qe0ktx??@45xQ5(b18#MRS@1X~E|Y z?E4=-ew}y;QSXyv%*xKrXZHoO8>BcvQWju*kT4e|MJGiHmOsT4BcCEiO{gfZr>~C> zBn$nn;8cLBq0nvyHN!%)XEGRq{|K_%(9qDhtXE$Ee|;u^&;YUQ-{B$P6Cfiu3<^i3 z)T=_NnF2#fll~korG0fwPS^e&7ZZYsi8>!WSH!j0=;5WUrEKb9ZQ0ZoORG@DHFa6+ zl@y8t#=_6GbS=ckO$}qgn8JzzTQ~eF{)l+3UD1yg&zJvQC$mRb2gklbBz`l6N7GuR zx7^+;Q!04&|<))ZyUhSkqV-pi*Fy$=!Xq$vd?D1() zoxR3&9qN{*X<2mK*e2TP zihzAs55`@Y^-0HPjn4jlWck1m_z1&|V>8h8ZACpU52=Aas{noPF!A z4kRve8VQxOwmJ3MU=fcdo}<$~#F{S|rUFX9(HQU$>Fe!Huc-513$J%mVc~88DQql9 zKp+WZd;iBk@d&z>U=oc?EELq8ejr{o8O(}|rwSnn+^l0c*LytNTHl;PVIc)TX^msn z7mYg-0#BO)YQ;>_(}w#x*9+?6!=S zd#3TvWdE%PYt;I%kvWO8$11bZ!Vf;1Pu{1xBqg=a+4glcr=eNu$+=T) z7(WMlqcEw{-<*3fzK^mF=pmX)Px30NQ?1f+g$|#sS%$Zw51;gp_}0>C>$vX8XV1$L zmR$YdUZ(z9st-I5m3)i+EF3q(UqSdc<%hHnBJm$&Frt=t#fx_`zK9<^Je26_&icF% z|IxzNtRwKz@o<5=e}6ymEZJ6+eXgdoK3FHT`}gTD?8l$gs9S$3PN|0eW()1%NKP|q z*FGxTVt6unS#2>eRxbH9*2$OqCQH`FB%l%y5SVt}^-o*Eea+5l2K*By&AxT3t>dja z9h2#@+%a}r)|=N)IWt^9{15OCZd+Ig4s&r-HEExklN3qOd7MAO#>PICC*HVy-g@@^ z16SPn-!D8W9wg8v&wA{L9!u@CFWyNEXx3Ft zxDeZ!N_|phin5V2Lb`EvjLdWL+{ofXsd2C;uCy3}G{Y=)92Ki!0XP$#3T>%m_fT9PH?H-QKiI3Yx4T~nu1f^^$A#F zXXoVw0PC%c{QN!;_zZ0_o)svGU#wB3zuf2=6p9Apv(m>Ib8|Ezk~7{f?m96#RagcFT9Q2JsNzZ^~-frHq^E2sn0U0}6Eb^G?%|hZg z2Bl^7+ty?2(~v}HxSuoVAC{5fq6vs;gg++W5g^IvwUcc|^l=fOdY;{?Zhp~l`mjIJ z6RT00Qm9<)Vr^L@{HG#HDI#Bld~?NuJp3a)C9Tmyw)GdD5g0_j7F(# z6SrBHyC%Ll-c(`7SR@$HsQr}~>@m2#jr~t=|IL9#@zgTHikfJOzRmNh0rlErskt{o znwW}id3pJ%`DhSP^0ML3_^Tjprm|Cug-ZtFtG%4@t7TzvrpP{%<-Ch^PPm`r>UOj- z0a;0sGhFE6gnqt?Ho~ zXe8g_Z_89ZwGqw8?s|&cj_>{^>gwV^fFS#Ht$6q6Z%SLiP=jRgOrEM^)ml?=G#9G5 z%J$9ez;Ds6wJj3_L9fry_|Al_!}C9XP#0W7-?;XL@6LOlH3qq~=vVMYdpla+I&T)f z8en2#{{HxrYF52K3=47_yC!l}yZqGKer_I4a z(KuZOY6Fm>YroNpE+i~$>l`}*4O;0U-4-I?Sz2`s9fHI36P-*fFA4!39thWqXIpJH z`!S)|t(OO9biIp}oq>fblrm_QmGR+z)({f!zk_&6Fk>w6(uPa-uL5!Y98_eCQfs|^ z0X`xzMXySZYGV!i*oR)x?)-rFq<_n8nIetf^fAyH?fLyPLXFsn)LiW3+$crHJtI8^I8~SI$G2bKrNj*tuw*}z z#9|Z0+=+NBt@zI4jCDplnU^p*tjqA5gPudTJzPAaE;6ZOuUTb`vJb8HN{bi6$&a}{ zpDZ(xi*KUIFn`<7Py*vEuD`J2PQ@Kw@*|yX6p)IAid5^$wl4JlsBUgYB8B47G#5j8 z3b+-ZGhQ(^0O^&4LhYnCrke?|(+Jjb&deFs&GPu`VsA1HQhhG)9;kG~?%?93`;$Zk zFoisR#TLDiaU;593h?{k}2J+7g-~9#U=RnZ0@kVdN zU@}kaTY-l^Akq?zfM5_XOgG?~*4Krttd5YYnDpA=xE*!`L2wY@DoJy4a$aJMz|61HD?b z^>+OBLoD_}l>b|2wUJRn){ljJ7fY$3>jQ*sAy!+1+e68zyUXP(<_02Zkx2W)U3z9| zGWP{o?=d@Kf}ObtlBE3$V&n!_Xwa0&f2)a+xWLAZ&cDh}`E5vHaI@adCyn~ip+wI& zFy;3x!tuAF`@7VJxlZBk_7WYBGQQt!_#3o(2U6Q_<2YC#~j! zH&M)#zN?2tzN;%vx~q&H=Cdf8!e2!j1>?5`vjIgy zKZ7#=w{EkU4$s>pLPOOXjgZZs7k|YM{!Tfr6fv^stq~}0>l|HCaV}HVm@e%qg?RRz zlx~fhZ_Ge}&&OT1tX5hniz}4Y;=D!^G^EV=jVrZ{0e5J;ka3tJhJRt8w@DtLhI_dJnt?(lSeW+ z?kP)4>pY`=2f9V0p#(M*Jk|hu?RqGZ$i6rZYof#XDy2zx4?0~{RyMY|e|oSWpyFGH zAL_yKqYbPQF!%aervHkYo0P3eP#%lC(zZiHuDu+C$>Q#qJ_mmOWfg#B)(9JcqXG|U z%B2dfzhyL9u!Jvef$x3X)2+EqtDEV_^a!51JsNPa{yIAPBii#3r{WST_zgsFY?UX- zoOrUzK$0h-PU^%cP2r)aWf7(gzZ39pJ7bv$OcQv`dnHl$`E#!%q%v~JA2IuzHT#nA zl=d;N3l84D$F%1n|CO<(4?_?#Hcs0huQTmFpus>-7pr+)-rL8}-q8-_jQnUkk95P$ z0uJ8`&qON4WED72#T7jpe$eJ|%KK;BC<{(2ed@?uLp-)se5XS$!IQd<(pojc+_bbm z=dtuk%F5Eo32dX|)C=wDpv(#28CyhoBdV+W*4mi^yw+9rFtM@iFT3g5$ubf1bTGx; z8_w9%$0y8B5Lq2jX%5`y0L@%pO1!dtw5L=ax(}CW^2u?B-f?8$9pj+sOkeK5!Ah?!`Aik)p5)wrXYXy zP!C)gtDLo6Lj$r1hC^NB*qP~af5hJ(*>E!_XBByvap6tyj0SC`yyftSo|--*=lqa( z%Cl*#w)OtKEfe{#Wgpee1nzmS{x4tvK>{3f1I0t)W22+rOgR{qFWsM{+4PH49@I76 zkLcH*Uz2^;*S@G65SZv2E)4W|=s7fYdLN6~<^I5NDOvjPzEjuVn>H2fmi1*uW z!|AF=%<*PHSxF6UW(-%6scjal(~(uB#o3CZ|9#(BXOJn)_n6p94G9by8it9#f`ftr z0|M8bW(k2__teg|bGY7)DD^aF?D{<4Bwk%*$DLO`egC>99$5cM%WSs9zQnJTwmgyY z@;?0USH8CajX_XQP#%~@h@Uwd5pr-~1*%3e9v*y{m64#Lww)ZNvwvw0o(Ji{O$OFjGI>8YG);K?KhAN$} zWvorHjJGUCF|B+KD{4;V~!~>-5zQ8FLv*5yjpMBiSj$F-(<>YB&KPda95c@&!4#w$&peG(7N)uehd{osA`DU@pD`UJYF$-{LwV+k{~}U z8E=F>0fdmQY?=5cX3oOVpfw`S&CRh|FDHQjA7FG?igv`p!U8rk2T)^{*7}e5iI9Gv z%+qHv;OpD|&=ym0Dj@!L9-L(`mbArZyZjkcOptoPX z1|8yi#AS(#%L_)9=(F|GmWYHDS%1|bpbj#;^c(8zUfSGtWzluSe)ZGtQ)yZNT`Y#l zDwV+#Sqt58PQAya9GqStS8e=$*`p+>Mgm?E0p^duln0gbNIxeyy4u!d&A!(W$SXQx z{OcN=r(X@+p+Hxf2ARiC3XoV|$$hGg7Rd^m$7(0W-ZUm@;Cq*i7a!FzV@dp4$skb} ze9gCy?I41_I=w!555C&^TI^l)-vQlUh3G3Jx*xsA1|#^*tr!igKQ2AcF^x{sMiz%h zMya&!v7Bam#T*vKty*5*m5dan@m#9)4a!xq?OC5kd`DC!y)sO?z}axh*9HsohO7l@xfk$oKP5%afqBtAo7F&038^54q4&`d3HaV@A+?YWQKPcC>D7orP8lRawQl zgJIHjdZPT)oFbCDhhvh&y<)9%4*9^Xv6Kbeo<3W8CFD;u#wdVuolLK zXF|ZPe5#FW^?N=#9rH^(xUGeU=iW?}eRdQIVPh&qqJCRwEcgAY-0?ubHid1$*&wgf z-y2hoogw~nhsM;)Q-S&X$pAp(9`}be2TKjHU~XE^#6$wrB6GmR3AlN9O)X)78W%^v z>Dq90m4^W7i_wJl>08h1$3i4XlOTzFFsN{TazGjIAz^4XFqW}pZNLAPN3%-T??jE( z$ecyq?ZM+p0FfmU2WGzAVtyuO&2vKjD~F=GnvqO0gz;6+Z!BYUx+fG4Gc zJ}70)UHu!S;41u)D%WYpPyH(|ilAMJ)T21mF>1b&eOgR&fAwuliOADqnQPJVuTm8+ zpR>6+@Qir9CNrGBRN8!33=2X{zpkL7_Zw^!;(uDN9 zm63`4``xy1+!I$;wz2+qlOH+i7hnx;g8@ip^J!X8#fh4kQG+29eL4m-L~0ZaKBUO` z+Ryl4v9wCu9KC}1Ooe!=L*mlGIE|re?z5soLdWHp)Z zKLYmP%c)@agIHB;{=tDa=J>5hI@wrSN(EBr;&+ef*?^blL&2q%&j)KsS2g0QRqOT+ ze3aVoj{A(A7||&FZ<03DkFXf>`S9W>nU}u6%113wLKRDM>QYlqlk>43mT8*Wt0-Tp z<;`gOKvZg2kKMk`G;)>hS2P2eLGz#e{()t8w^Af%h$#s9$|6nRMq~X0PnMA3eln97 zz4j55rzfaQmUgp(CM;ALMl1$T8^v*wN0XR>tme-{yS_AP3a>A}lsn94*YlBP;Vk3t zqmPfyI*w{^)@ZlBUEjB{*GMJ|E$qd+*_}7Q0f!teQgPRFT}Yby=}K%?$}zfxFW{(}Q5n+?!usF& zC3uo?z;BmO8A4lMWqno9KnlJ@+!x6!(A)r~|6IjclmxAD^`IqMMC|3ZHJkQIlyP2( zcA2zdumtg?)vBjF3KlSADYWf};-tg)q-m+!u_n9#L!Xv)1BbqCEhEx*fB%!9{UbYq z-O>Y?CQf4-XkWIw+o?j+VLkhU^Flav%478k?q|@qqwp3qJoK-oUG9*yE!KSE&T&^r zvpnJFTRU3b=w@@PfBz~Fv?UcyHE~T@ihKycbBp||E$CoIFWNOaJR|*OB?#QBhKFih zu#aBg+2mA7coKHgX*=J_D%V8#npqBzS+N5cgOZX~>`WqIyGz_4&XXj_685ookcM_j z)iG=H{lBM&CB=K~kvWk7ExFGjRYAn&RCBi|b1sRXREWPUNgS^tRKtMI+qY0OyN@Ph zn(k~Q2Oz?^s>R0xS&MA+V^9Vn?J@rbIn~kTz`w}i{!61KG8{wjT!k?P9-aocH#s@E z1a`}Q;KmTu4?Yd_NNH(;mrL!S-PUe!YASj;tO1yVvfLGK7uzJ%f=PU>G73;7+H@~W6D%3)U8OrE1Z3^vU{U<$YGtMv)YoD;s(s; zucfL~2#K%&p7p7FGnlknqbr9h&09K4}+a_klaK%6L6MX2`H-^hc~^jG#RA3vvf%{Ryn(zmdAV zCFxJfRng)|p_Z%C;n8YbSTXI8nWOWtRNryFmgK*V zc1LT5^tuhFi;i%Z!4V}`!3}QAcIJrMYC1|$`;x46WM;4Ed=3u`WoHcTOfv&MK2&jE+J#97L$Ue7&8tV@`KYLmeWveG>yZ->t=D zhk|)Ls^3=#7kQ>bW&hsOcV^K99@ZQgo({FFN?RPZ-`StOHr_k0rpV)caZ$SWPgSpR z}FkshCsCm*yyrvEdi;Fc+DY*M`pZTBl+seufgWL5H zia)WbJ)I-sjP9$7R|MQYa|@A)ua3lyOO7kP?Uq{1o>7c3*-jR%_JE+D6B~O4-puPi zBY8Sg{^Xax)GIA8{lijP$J>*dmv~sVBHKV0!#@@Vq_gDSJpP#!BY)z6oboUMWoP1- z6I~*IMe(MLn-P4Q-l~L5NdBg7vOP9~fEwZFu8Cfm{?iC(0L*@omLxLrd)HWu5;ZQ? zqBNBRU!qvjZLDvY6&jljjrXYq^HMu2YpZvH;)$;^LGm6PX-tqwC8}eMj=v>r%Hf6) zCT9QAA`u{!j;o3m1qS$P{YcqUqd z7n5E@*0BEp2o;QzMk?0C8A^6YGJ|3T6m16$%REkhR{*3sWT>LB2>4LeBU-9xw=%L59Uy?JOly4(Ac z6Ds?@5r%IMJ)ZFm9qTwGj(NnDY@#P%H_VJHwf0htI8Kyl&V3%vgh zQdT>GV6Y8j#)7%R9N-+vYC8TKP_#7Dhd{DO&cF~30&LI0aKnrF0xuumi&X(IB$@NEcG$x3}F+P|rlhduq&0++| zbr=CxJNVg)AQ(vBGr+GKu`qXyOi2L_yEPG#*^?#OiNIj5pctEgAOvVMb#w}Li$PiL z^WRo(enE}{Wrn(Ra>Ru>aCNKf)ik7%5#?4(X^;rsd?C+G16x^fuTFATX+U+g=2?Hi z@(ei`XK65ARQ$+>k`tH1-V?BZqg{}M)Nt{NstvBG!_fGrF#mGM)Ahb`8B<1cV#p>% z1{YSsPu~dkB^V2w>E1Gjmd6wuSzm#*no>h4;#s^{*06imZNkO&6V9WOr zEei9c=PUi7dxTEqHHRv(0A$14E6UBQScULrmw>h`cSHgF7f> z&+n%R4|qI6s_7C|H@=MsxW66GF&FqbLa0i6^p=Qg*gLj_(fO2t)fBBW&8unF{e}`F zcZB>S?a$Qh5pa*v7Q8Z${kF%>k9SVTzb8B6_z=QJ^C91iyjgrk{5+J6G-+Un<=$Rd zL!bmrTs}5`9!f0?TiHx2E&d{dU|`1IwQX)jk{*$$Y+0B8`L@MN^70d_lbYx91mpM= zX`!nJPybs+8f+uc_X7g{07RvmWkE=8MN)hxFY>O5f zgU#FY2()Ste{>krpADy#0SC45Okw0fnQU;tq>SXylkjqf;Trfs+1!dzGC5;#+MMw+ z8;~VTUK*bZAaL1Ty~B4t+-?m#uQb)drrFKnZ)gd53+Ged22@052O8^2DjB#EZE#V_0BVPe%7sPHMA|o4sOiZX3aXv8W1euQh z(&U+6D~v1_Ya@U|TAA0Q8~CUc;B{@CoQwc+T4^!&_vFN;tKJiYRV4{{r+^}S0>prT zSeX~^qL=)cwzf7f37}PsIyN@OYBm}0`#0R(^>H{bya9l6btgI}sJpAYV>;*!q!LT_4m?TuO_yd|KmUU;iiraSW`a8{a zV`C8!eRjZY*{)lW^GJ=C62Fy7-|io3tHHA6ac8Pq#PSlMv#i4G)lrFIi@|F!xlF9+sP}j_7I5Xq%BMF=^qh$%79;da|MO>&6#3wt8 zH$sLLG_B8jeBDJp8qxGakw)6x)F;#Y+8=Pv?VD)RUA=xj8gB`sn>th;5qWfygHxd5 zdSI)BhyIjtg*_C!d%nPCbbyqr`2!PvKH&v!`dfbX)swqqa-`f-1-Y?UITP!n2A;IH zIGgCoxe8O+DYt zlY`nB+tps)=ljvoBWJ(cYX$x*G|tVO`n1KOq=`#b1_}x7+8c;ma&K=sEYywLgUP(p zVNU_7H{(SIKPbR*^?QErRs@CwZOsa3<|!#Xo!w78i=A4HgvT*DVtF<=w~w}_Nmug^ zKW2T8Dbdp0GoHImu2w!(ZK(x42k2%%U%vz<4J!1u`RCc+tZm~yD@8SM&7XA*5+j8L zbWe2o$TYkm85>`_JF1ch-P|8#f^}ESmeGCUcTxPX47=Er+8H$h&uC>r3{_uaJ$z5> z-8WVd%h_V^Duv#z=i(1ih5G$Ak^ldGP@iU%9Mpd>XgEy@JyT$AJ6Tg*gb~OW9qZLTJD0e#407Q5z z2x-RL1PK`-1YCcC8~Xa@W|to-KFE9i?dL}t**79f#9>8XWn~3i8I{1@0gW1q=bZz& zY!aeisZNs#q?r#`Pp!>YnFr;az0mGp&;sM#yNvgyM0j}pjjrc7d~U2zK>U#joPmqf z%YK4F2^|L~PrnC@Oaul5tN`Df$zqz3$y3nbi~=WLATkjLrxFt@>k9^L|NP_`L;F<` zd`Tdoqd-+<=;WLhU{j8^>>+&37fkF=KBYJ$Q*H%QEW| z98OrA{L!P6I&_H<}`K9H#`MP3x z`S6t=)uA%)@WH0yyc}apgkrn=Sd~;%lrbal;e2qAX2Z&j2uq9`97)vf*5uSjr~g>L zd0|__5T-UmYmm5L{_j|!r2W$4#mpOBXp4I@*H8G4_|@DP%_zXCJt&U<++Cp{ma8;E zL4l@>Y%21P>ficvXuvL@nBUl(K9f|r!*axrhg*260jRpR=kPaewjF>fe-VA5$;^jN zWwYG?2MvIRlsoUE4q&RaWm_T35+4>}P0US4b7RqqqMg2k;#Kn&!!8)g0 zF~O`DrI)HUs`WH$ehHbwlGaz{hg8~k^vugEG@m&T47lIw8x|=^(qz|AI3kAS|awl+U@h4(-95*CJGl&^s_7Zl*6}R&QrU@gmOjI2+AZ z&n$QgHH0^%^sXmy^6iTs?_w=shBAF*0ww7tG~m{7Im|fy!&3E+(=(~pJQXEhw^%QI zrhDFdy-FkqyjXo6-Rw?gzf>R3%Zv;kNB2$l)TPGtf`RRnJ1!WPx`x-MI`Spz_`Bc8 z6%&zkVDyWSbg;lb%SNw*gP=Iwu1I68e#>{v!2Sq#cV7ENe>gS~QQF0S|Bt5Q-a!%Z z8p`$dRc{FDm!aMlf2W3Gn%ogKs`FIL@!=~t39S6YsH3GqLvJc|vAbH> z*w}D*vflcSXnltS+JlR>GvfxrE|Sp^P4L`zOr&n|%n{xsH@Bv`hmSud|BoX0s}$et zGBv?32F069m_oYT^EV>CYlaNrOlQDvQBGFx@QSZ!`Ho{rAi1-TuH{=^soEY3AWQ-g z_OC#JU<+bsU|=@J(q3Fjfvu^CoE(1+FyFQZVb|$sN6=?yXCOfxgjG{llRP-*J=hVCl&511J$`|X`$`0e3d@1uzPcbH-|vp zlC@cIcj(Vyr~J@R5ZXB8XO$!Qbn8~a%>L*cyKv16HuYQ5&Gb%d$YkKU9u??;RMC$& zz3$y_cyMTbyHlPn%v5ixtH1Wvl>#|p`^ZODQ(x z=bOio%c_1m(H9J)O!z-GDfDgFCXBlqh$ij++Oac7?>2PYm<*}B2`PG141b4#*#GlC zhy}&dQl^{LUVpk-VxG1xAU7NOQac;e2ibwS`D@Yu3-SD0@%rZ01!X&PJWz7@120qJ z#iCFVF-ANfLEf9{Lv@804jEjsO11Z&BS*h=aAuiN3gq-A2@)qaESyDi6G&Xs2N>?! zdMHP9iQxuT%wnvPktT6ZNBfV_(!Ii_E6VWshmW9Uh&z+R0Y}WLeooJt)iSGHEW^gj zq3CAL*aT~7qSnTssJxU=(=xw_?5)k5O;tH|jkDOO+V?3xfvY0l5iqWbx? zv`1YIkZ%RwzYUgOnzZBjn6$R0&&*u0!?(ebZNB>nAGw|MC~9uH=k&^kg6%9}-aPy) zZwQbH|DGd*xHLpbTnLz^;TVv?Kh`YpZuQbQ%c<5_C22Y{={L1pW3^ULmiSZYh8^=k z&IZu|~iHA4n<@zehcR7p_#;Yp-hQ88MC^M|Sv~AQT{KETO^KyNa z*GGmdPyQug>?*w4nC$SkYNBQqy$_i9xAw;hZY?tflg5Z}r5Nz=@Y35DyXUmM2-Xo2ELTqV8rDeI{IfD8%97t%+AeGRhb$a`wx@hn-T@A zh0nN;Uajvt0R%nzcHM^(ym|}tJAjyIWB)1y#qDAz-2t4KGPb&3EjNJIL!Doto+zkt0$EDZXC-1qfgSkLSm0i>3N#pgnIov4{Jq=F?nFp332@H@$45 z@$5n*Ck2aF+h=lQDW)V>A^va$|Iv7};zFHu`#1|d`mgZKBW)dIIqQ8(Q}qMi%Bh>i zCws}|buV{hPt2AkwLnUu^kM7NKcB7_wz1Amk7uGwvSV)!$s`}H49hNUdBL#NeSHLY zhKg7%j}>Tlj%4i^6U8CI^J=Mq zWZ?B*xdjjH<4mA#3sOM1Y-{Z4xewD^$>;-2k86A1A)x4AetJEsGCmyHl-G&a1N z4^KKUQ1;$he&(Tf9z51ex3{kqRAaLXl1~msbj?&Ig0^yoDet;eoDy~JJjA+Q6(S8^24EePQk#eN2QAnoFkG(Mk zzq^8btySFR209fE8~mus{6eu6Ny%tr3owChB2^jnG-ybE;gRc0O4>{dIM;_J&6>%U z++=NH`6;Onivp5~-DeVz{ST{h&+_2AiUJnjz>KCHjPEirGJXU3&@YMrN(!iTr!Ola!q)6a3nnJ3UN697L_+VlTiFtAFdgflU-fea$cWaWgMUlwx3D zaVp7j{X4a8KyAW)MP6aecopbC0CzMtGYu-Zbq(&qN^b_T@K*>@H5JBbRg#j=2nP+( zoxOB5NDi!eU!1KEvI{bD0bQtKiHanryqq1UrY@quq!m0O-zX8C&G&hej6on3xOyZJ z9>z0Uu_|?kl7j^dp;K@FtLtshcLu>>x*#K$O%2Vi!<~^MY@OX%CH3C=Nj%Ubm%fTl zZ5W|&Ci79}$clPqF=^A7*R{6ppIaX<;BMlTQo%m*7gnl$ zPZqv55oyAl)m-rF#B#$D&v>s})RnAzF48rzd%jR;(9;?l6mLMqwPIo1v4Kv^?Aq!7 z(%BWI&XhSkI(cc-gv#AJ>YY6ps>k)$o{a!yL^+kyG{b&>lboKjzH zIsKcn)16g|k)W>_Q6-pISP>D?zRfA1b9;2#5RAS$UY66}8n4Q}y8k6>siJrXE7C(@ zbJULt^XOqysj`grKoa>QJKi+^5a68nz?2gBpsud1wS&It#RB5=^mH(e=@;-jc?rA% z9{63LuPUpo{K(0PW3cXTnq@o~r*P!?8VN~(DmWkjs&!#Ob2A|^(Sz<7gtpID^+V19 zB|APb0rneZWbxiX;QuB|s5iq|zO_O{M?H-QDJ#E!nfnE9njme3N*f?gz`) z9xd;QAy5AW&ce8F8J%`*EPeR0jw`hvX0ASt7R1Ne*EDQ? zNQRliqi{=;8B|0?{9^2}QOU^KQM2UC2^Ji;}}{5$^qRo!Fb z4a@cKiX3k?4HueHy+M@Ca${*T`eUh0ZqcW8Nr68~ByttjMHDb$aHYgAe>^z)#l`?rZXh1w}YIqpcrH;LG5=cDh zw9pzNetn70u=pyiptykZ$gCv%g&+SFN%bE;j+fLWo)O<9@YnKJL1es|dO`7?!~p&G zN7u`SK;rC_!i&JQ$HAruoPA04>51(?h~z60$OzvdSnx;oJyG5B+OHOo-nD>?Qt{)9U7W z*{E}V&_j2rt)uK$wVp*0L>17DzB?)zR!>MQyIw&*J4YV%`slb*B0jTLlT-pF&@I)Exe6P$u$mQ<*v)6z8@g*&F&`{Kj4m_t0}_GKNp~ z7csp&Wa{@Z#NPYJ*#FbkzddQ*25a(&7$pfy3Io5%3LuO1$bItNL3xoL0dNQm_z1O9 zugVY`XNLwGr|02lJUavmvB{z!#1om{-38cQysD?)UzTdflqlcih^*4I>Zm$HG2$33` z*m%W>UDjAW!^ki72xm7pMDk%7F<%i1NP%IP`M>_hOArRlkx5aSxtc8mP_MlZp@AVGSwL(IhTv(Ct`!s%0RD=;-xF5mu3!aemI0O83$ark zO``_0a(rB>2{0YP%{)zepW$zx}YA(f*j z#1Ut?Hv$MDfarmQ`;&i$zKO0%D1@IL7CAHMdf{1Tjl(+u@+5Eb4ybM!9X z(JhGAKx4dEMJ935jwrM08{k_{i?JV`@G=D$@=4 zkLZzI$o@5S-r>c;zNt@I#*0GoBtc=J4-Q$_a*H^meOLrrKvNhiN8z?eu@OanSqLCoNdRwO@D6M=nLY z_;3drys#!6Rb?hh0TmQmtaYRB&X{V|+(i*ez&IWG?_P`)`HlG4thSgX1;+pBAYSHr ziW8=bin5HbZT5A@y{g4%`AYC)pyeSdl2XUzqD0Zo?muVz?;K&u${CIC7DZJe+X0`gZ_rx#l6;kZO|1=ivTSYdVGBR;v1xn0bw@kCs#^Z z+Kd4N;rP2voEMa{+MFXewlv4Q=M5`LL9wDPfEjipyP3f#gvUwWcF3axC3&~l!HqKm z%Qjt(VWi(=DTaiYkt%rl9Vg!G=l`b#0G(9GPU5D1qTmVlyA6x>d9UW|7`|^4zHp>} z?edNb?(Wr9fwtnt=22#C;%rBG2?kUd4J8z3ZFh-9``c1~Dv&Z0I2j89VaaNI{~gD; zQ6#6G$;a5L#@L?Hc4lwdty^L7Ps7LU(J&y(pl&>4tse|!l5SO=#a#=6w;vDSM$1?u zna*<||7yxQAw9oFd6Q;6IT5@KNFtmp^ys&ha(c;r}`G( zTXhj+8TYrVD)WdXntl{~|85v-R><9`oh(sTdtY~WdTy6l;*F_lwd`9r_&cl^51b5x ze#!T<&T9n6HD=PqX8a>d&4MQdCZlQ4s;a8Mq6HHH0RhbMBZ7CINSgD`C^T@J4hadF zt+gcsBNZKB+7@_;vACXnmzI|9?d^TZo-xZ@OZ5jY#AWYiPvD3j78{EVKnlavc3+3% zWpG{;1MmXa9KOU;zHqsVwYDI0<^=3bW&nx;QH&^{Wx=m{*~>RKH-8cnHR-GQLV-)Q zQmGCfuPBKPwW6@_HOM!e{rruHJ`HHfrUL>x zEx>9-wq{wRLt&g8TN@d;2KpsG|7>VuQlbQF(1EV%+_Clr0-zyMO$urg(G^mXQ(Bv_n{)l-)5LMSe*8^(;BVy(#(eFV z-mW*woJ}%=W`jP()TWF2YxChwg`TgH=DJgve?j{g`aiIPOq&kN`P^tDX2C(*R#c&c zX6(C`lyTSF^+wqgk7l~Kw=>!Zf;kMUiC0!T=H|?1=8QwwkK!8~BMdeIl7O&&8RWZt z^jo8icPmjeYA(dHJo%yHGY#Z}%%0A0Jf;24Wk8U>gK08!qe^dL614;rA_vK!)?Ssg zfLGI>5@$0pkvA%9YFxl*A!SvjOW%vIn?ZXb!doe#N;x` z$$g0r^CMomJIOQ>qyieZ29(`!m`bS*9@_0Hor_(TRaE8lw8~LZ|IKwaQ*5CRHj?pN z<0HO2l2uiGqbvIuHssx(>G<&-9sI>^+a!{~=;$bAMKNf(qJflti!f+SUz!{cNV>I6 z$5)UK7hde(9XYJh z1;g8Phci@re6qBcmFPXqu-^Yjj(*i7?k%IxCsb>Di1)zgx`A;N&%B; ztUv(!B6fJofAhm=h^R#K^5Ppk=iMfCE0yBQ^`%AIRVzVL$26As8&rdzzhfsj3c$t^NWijgA z4riXfD*(^=8))cWei+YU%nV+#T~#l^u3)@eZI;JprHg5NYORN;*`xZFTsu}*@jp2j zq(3@l*$&-B2iuw-Vi){&TI&@6BnWvKN5{TzY-zIIuM#-tM2EL7jSjun%zyK1Mi&I+ z?Kkwt-KK0~9Pg?O_#He50YQn&$5AbeEVTu0h~u z-96d+nR&IUZ+ARI5|YC!XU>d9GS6lq%XY!dg~VoP#hyc7M@22P-Z!TF2k@hsZqTpa z>}V_ojC>?#!)Ad+TAuck+&zJuR;2kPh5*=K9e01l(DaAcmzWm?o}&FmzWLLWIvZiE zw64%#r62XC_G9tRUa8wvl!(%=SIJE`Im!63`YivLrrQQ2U7c69d553ZJelf6n0c_c=x|&CuVOCWtFl~ z$pNZwTg^O4VbU+0jYe2E81l-f+upaOHy5+|pm%N0I5yP|Sq=zh+T*Z`j+Vj3IH_Wn z4^V@O5u0Z{{Zn?U4}+b-f@mY}O)G6E98yuPw7gEr%Y=Z6di&M?ML!jtTs~;J$#>kg zz;=x^Ink&iQ}R&ZS6Cwy7}VfjmmgJ-Qlg%~M}U#Mz?yEl1Vz7$*fu?mLhQT^s@kf@ zFS1eyE3@P(K7-0;(qJTudb0^)E_!^eksk%zhE4}+*5mlRIJZleyNBmtbe)Z}xf|4m zlP)hyk>kJ>q$skG|>Y`J|?%j^FM9hk?u&N5EPeXiZJc0_FUSH~}EvEs)^y20F#) ztD(U`N_tg3GhjLB1rlxKvbDgNIWXV^V>%-s&+K1KO|E1#wWK4^QDxad0?^5BfF*35 z%_;}v>-JstI7aAZSwc7V8;KRkjDuP7q<`Knt+bDxx1q#R3kxCHo~h* zv|Br`*9spYA^(KUB5dhFbZ*$PZ~R60Q%h5NIi&gHCUB)v;mGa3_|!RUlA*ZF)|yZP zT_EluQOT-4+U0LO?`}gyPKb}8joI=T^O;Tg2w#3A<%rF)7BBWQn6YSP_XBWF_5xUP zarTr-}R)+0#PWL1mBqS-}085UcAH-sZvGCMwfeL|#zv zABS=$p83B{laNnWRzZQEa@7B(ehCo^O)z=K)=lJITGsilq0IR`To!fHbpwRhKR1>q z;m42RZC96!3ipbN?~4n`&fCces#n? zO_sA1n(x&$HAd4zjjEB&rI3s0q`c9Fflx8bGWdEtAU}|)So3{SMhWFMbt92h5z1G` z4?(cb>p0UzK?M)Cc3AkOygBZK<`)j1l29eHp646l@OH)vn^9H8+#WFETCwkm-n~n0 zyBHqU*l$6P_!*O3jTAJnvX=QhCG3?bx#8G;xMpXL;Y6+vosplSEZj%NixGE^sV?6! zx_<8_gSVQv3*wW|Q5Er;PY##9`$19zADH<3y+SS6s_QmieJvGl{YJQ5L)whOBn1eH?VCr<^-OomY>GA8)I1F&9k4!yoH!@bbBTzo|7Kd0B9!T&htI zGRcHoL54|tPY(id>O+N^x~Ap?V5W*Ur>C=@$Lq7RKP7XUHWMhLfy|NlN-7sID}~{z zMlK$n^@F0v<}YZ}Jn<=SWD4TPvVKIn(S}}_9Om5Gm1IW{#fW7SKd{GsF0nHEyEU%rwUr?tb!HhAj%OS; zV+v!kc&d=cFg3pkG0_pl+<@urSNUd@C#5K66*&LrPfEvdA``0vt3sk>elCsPHw>O( zxKDN~vINI$W76oji3vjw>*>BknSNDzzOTV!^w-in8D?Ve)&AmLiW#_LEUJX{NXkk7 zYjRMF|5%=|MMD)V%Zf`4R_y4$G`gtaNrkBLTRxY-DiG<~9^s^CWM$F}emhoIh+_`z?7v-oOUlSE8|Z9D!J^A%Q9fzW%|9{3ool!R~}0i?6F8Ik>aS|BtS> z4y&qr+eJ}ILXehLk?sx&X{EbiiF9|DA|cY!E#1wcL#1=k4GW~ZyUyVEeS2SL@AIAa z@_PRu)?&>$#vIRcKX(WifKRqJT1K$80PYk+VG6HZyc_s{?($?e(@o7Oubzn!d${DO zJoA6`_%F9eRbF<$MCE)T0{IiH^d-VIk0%e~X&omH*VPdRhGI~38e_i8a}2_B$9xNy zF(Ls|vDxb1^4H9LgXQ{k-5>ai)S_kNs5+sAxM~K&ggfA=2l*FYsjcjcC>R)d*TnY;HXh$AC>NuomFN5vv&=N5v{NEb_tgvCJfo7rr zpf|ladTX{mTy3zHL=C-H!FTZ3(QKR}8G+V9C#xQ02Kzd-+RUr%R5+Y^htxk=sI?|E z$2>vP!&XH3tyI*W7$31VOR>E6&ixdrm!AIAr^(BMH@8QlWKP1lgri5fzdfz4$z??6 zyg4;huga+^nwTVBhSbr~G5W)MP0c&_Z8Tnfz4IOl0*AObO&F;*LpNUfNW%7^hQ1Y# zfv=di4ptM0+0-A5C7JAdsH-fT@%DR*WMw3z;5Yva@0-~}r0+d#$?ryLTr|f9y=*}? z9{sb8?fAZxdL7cLOLA=J9SCbvsdkLs0_;NfpFan)Vvy^e{PF{V5SrX9&TR>~LD1K@ zXo5dr(1$GPAu2r-nGGeBC$Q2A2#|aMP4Y;Sn_a01OqCA*?c2AX zEG)DcYKUu?5wB|#ML0ZZVr@gJ|mUJv5U4gjIJ4l)C5{Cva3|_aT zqf_y*WUC+_Jn#{TntP)Fi_)5M3(2Y3Nu7QKTd5qjn-6SLe^o!o!TwB2M6wu6%K42E zs3PtmrX5-EJ8L;2bBfc`3J>|AeTm0lUEZ<$(_FV8yVhJY;l|CBRH{jd7n2;WCjG|$ zqCAt*Pg~)W{fAuiMOK5>A5p{hWJS|Qropw%3#Flx97-r-`98dWf3OdN%w=6@rDI?bN%TVDUHbkJ~$}f5Z8vex~2-n0BV?diYiVMW`_S*vJ3JivuHHe)6Hc0=4y)wY*uv_{0#sC%({~_I zpRT;iC-s2q!Uk}g{rQG(NlA}m_lVaVWUl#BSb12xk}e%Fkjf&W=LVhy;D$9i8{WGMem z@Hl0%5WJ8-mLmc%-#k6Hl?NjDqcXsFPG4~-G%z1-&IEWL!&JZ_DlnV zFK64ZJv}{lr@f-kRLyYlNV_#NT=Xx$LlsTLth5mNDPpB!;dulZ5P(31txG>!t(00(xX{d>Sm@`Fp7q;r0CMpgt8K{}AIg2L&!jSX1n zW#bXl&%|ad$MT+|VpA|xFflTQmgzS+0s%#B50@z->aJ5@_P#T%s=fXcWJteMP zra&O%pyz};i{_QL2c$izc~}#84Y5K=?Yh=jb2R68XV+0+s(x- znjoupgS6ZkC=y{hS#H(fJ(iJj|20?V;vnVRe)Uw6X%O1R_4e7{V&KEf{m9Y>7#XKW z700)3;7lI<;q9X~09Y?C@9pX5Gy+5n@aND0-lo^!h>U@;=606K?_}@jnC16yuh-%U z9T<{)5%7bWgFS{aGLWvji%Qi%$46E%_@5=S(Zfx+I?R<4TBuNcwW00vT8y9>`-duv zS?#4ht7T}Iff)5G{|kSmh`a-gRaZ5J{%a3Iv!e3az3PQ00bOPluJ+`Q{U3&m@j>a! zdo;OMRJsbBW}G_p$tMPQH{MeYSH?F!tLVs~H||AotXH&QV5?WUNC@S4WXSjR7@kMJ zU_qkAO^6S7bKzXHQVBfgmNnZe{@Hj+mn48iQ}p{z^^RoD>DutAW_!$p|HZxHXyTRT zi!p&FU~-E8F!(*@XHtLrwDSOFE@%Ljb=-Sx8DyG-Gd}~qH_epYf?@kXs6&OOqQ%+$ zszpFRP~{GcU~^~7;dmFh_JIHQNKF1mSkEsLPP^Gl9<$Y7zE>!v!G5Rojt!~YZ7fQR z88;^?SQJ7-(d492GI1I5ALKrFU7YZ{?7yjWIJ)Gr8TkJ7?r>+iOm3*9UaXzUzC=fo z;4v_PJjBh)IHaPRlFG+GhFzk z1Hb^hxKv3SFQbW#)?F=q8#vBj@i6Ev>atWm_V;!64<#0@Z^Kgv0z>0oFLUaeFYrv( zF(mP$7wM9iFWfh$pIL8ebSIPI(Dx7w_l&FtPT3SQNq|aQ`C3x>CMmpazR?}Cg35N%Zi=St~Fze2YA$#W)avH|uoid&abwdog*a|8uJ2y#^^5I8q&>QNb%qxn6K`Nu$ z6w)`!CorPc7cyvR@((AnMEHERP%4i?F1f&f%&l=WSN^1m|LU`hf;{ajK1?T7BOu^e zJ!XDTDZH?K&juOL?Q@Iis&Jh1#dq{59A|vCW_Wvfq}Svc4h;K&2h6Wp8$g%<33}Cb zaN*OlGk##i3r0L^U{B@b=Z_VsGtSo9^aE$B6CYbj4&!HF8368TaU3j(GZ;wkoPZH$ zj>=lK1xUjJ*6C{*e)q3IxF`ey0o)5o09E&|uZCIx8Xe&1vHRY-Lyrqp^GB;pWUXyN zTQN7l?B^Lac0Mo#F8VF>B`u8{e8CjZ-QUvC02tN4a*rq=!3I2!ZKd-ntl!)0K5)8< zm`wSIt#E4b=1_Px;truuR~(pf(IWoq?TH>6m`NopTgNL*~@(v>as z?(LN(JBu`$D?r&cx(NQpM|nCw-BO20E?C+J{yutY#)M#Y3t$sGI@}v;W!P(C08x>` zx{p*P9{H=hmuv0C>7&!2?I^&OzN?1}-qru}X!M6)LGmMAG{~9F1b$C+L|@2+heE?b zUw_#Ks_Is06tz;;l-iMdR69qqkaFC*%9mgsnZrvS*#87tJc z!l^I+#022FGQ)`cwCLFqWmzhE7LOgmjqX{kNCEXQj5Hg|&%Z(=tBLo7m>8|2irM}+ z5L-7M2bfNT*2dSXNsAfLsx}uV{a7N%$`Df5YNN9iajIhbRhohf`Z|Nq-#*IUTQwRx zpo*8Qb=wiCEsmiJ(u&1#(!wDogAs^;FOpSGySCbCDOeS|IY=9|9?kXZaeCO!TFN0i_{8zEGZftfAcB_&7d%)?02YowKidI>C>Ef)0zD)x2>$>ckQL@5S))Q*M5o|qZ*Omhr=~VQ z_{Z){bucKiRDro83N}Spb+uFU&X4a(5kx#zlX6CLV^u&3lc3O!oS9m$(_jDcXV2F; zcFVQMn5t=adR&Yo$KCsZcBJdl=09bmisl=JonDJreU�*oi)Tbnt7t09q^ZCcl>{ zL!D6_W=0nwNzOWsk3HhbilssujrueBo==;NDYw2nC2FuMNsnogN+V}+*D%|j@&^y% z%#!Vx?GKW83^V_W3oy;!_?og-*-u-5o+|jAGJVZSg_xq|l^_mTLPU1M>q6}YvIe65 zE?H$g&sd3lKeJmjG33`$t;m^VXGM1Xb$-Z|2d#DDt4r}8U=8N zoB{ zYK9n-Jk{Jit}lE;VGkEV@6IV!??7L>rh7s5o+W|P`8_29&%t!4nr4C*QKXS!8ChaF zhc8pQ{9Gk4X)^UYlMI<_EZCbAbK(@C;UV>)8rrFa{*5UgkXFbm6A+^|Z!1zAbQR-^9<7ffEDMr0UGuCh~Gc84Li;o(wr_J+%v>p=MF z1n;s9n}yCX@>sQoey68F^I{{z6^&=|guvx5R<*KhXo@WeH!G%S2i1!gP=%XJCPN46Yd1pG58UjYL;Gp9NJfuH;GEPC(AQhzT{@N<@tPRj}0TVHQ z`0f~RmBfsV-=3eJ11-C_&7B7;E2~DSPGDr@`sn*B2Pf5tF)+Z9i}Qad1cM}mzNMB& z#a5m6i$2|Q6jyI2wy3+hEaLllq)MT>^jDhiA86DOrd?Lh9+#=#tRA=PgK~=H)!uMvo7DSaN_^2qjT&BgGqHh@kvLUa1{P^o z;J)SvhzcAXztVP%gu{Yx2s3(>AGB5-U&7C|l|;aCv^qeRJorx0^SnAt{ES>)`?idT zqV}^?t5W47SRG3RfVss2i(UXJ0#Mq>2u$2tZ%nz=2Tm>eA4pU0|_wloo0y^PeaiZG%}UMk5N(LWWXW6`x@Y^<^ChWKSHeUxKz z<>{+Qe>}yCz6p`f)js|7w;sov&+ zS6fG*9Mpb6k3YQ%X1V<+)Knw9#!lCQlFXeL; zQSjNlmjX)-(|o1O`?Z<1EUi?H{rJl!Ue4H`vDzd?7mDVa#zpA!;)~Nhs;CMga!bGW z%ok54z0r7ixKpnDP>DP-c}cZ%F&7`EQrks~emCc*u?LNs!7%<*ZsnM+A4}3|-fmBW zDC)s@MrG?}vd#*ZI=*9Nys%SA8iCAzkHaQ9vjd)*m7W&9`$oL}UwM78yqfJliQ!!# z`Py$5Y)m@x*D7}9_!7ip(86IoUb;-0MlEUo(8E4TXMP!H;$Pu`tIoy$ENt$@3h5ud z)^;PMdfLWt`+PQk%R)vR;EE7R@1AHchk7mIs#SeOohEw9=JdB_><-TsW)0)9=uPX&#dbyfx%tE}XImj7z8(ePXvzx_Wl zuZVP0WB7hRfb`Kpc#|CQ9fg1g_TTifi4fTj|MDkv8|?S6UgIbu1qDRM{tWu2-VLGc9bhg!}ORgK| z=7f}~_MBWGw#DnB%4tKPD}r1WP*g#hz!I>$Ruii8^6=^Aa)=pH| zT5B_Rc&x&51*mpL6e7L@z^rJx#sUxcr8tOA6l`v8Rse@bpiBA#`mC$f7{#dmwVpLc zko`Ic+`nW_tG>Qc!}lSbb6PcELbdB=t4~7AJR;UZlmF~Jw+#zlAjQdu9~>Ps)bov% zFc(7+Ww+?7^s2^X@FgKV6!$2)~ek06#}_RsKT@OZ;5 zFTxPx-&wT?Y>?|~ZH79X&#T?n9XLS<+tRSIdz(X<1aV|s%Tgz837K~FWAY^Rc#qp~ zM>ATEh%(}ze`!_oPcOUv&!p?Qbzu^$#N)pwUG$|;hB}C!SU#l8k%caLOJ9#qxU~{I zzAM&0zjd&fd26!H2KK;&qOl60vd7oE&Ih$HmoEW**;X6pS~`iFRLhP`Uy7QWzKo-3xeTN!Sqn*Oa#}5;8{!=IB)?haVAY?_8dK5w&wu z-mA7>Go7EiFghP~d9=t~%xCX6^HB(ua)E3nI)r>A@td5Ql2$A#J~y&4lzP}FKThK= zZ|>%yJC)X~`~1A&uGNASU;%Hb^Eq5+^(GWMR$jizG9rFw!*b#aS6Upz4!m!9^eK6%QstoRX!wf8Aop-0BfuwW{tTrNn^|4QU@2#zw5P%qO zb8D;c4vg~w$?Uf`;tXyGFyq(QRQ#ARM@~-uP(^vggVmrwB^j&|R(r>?n5;ti4 zNcl&CJl8T&*D`;ji@2%n>xevnkDbhVF;vsed#O~FDEKSQb__f|t-*p`EV63v>W>Uj z>^Hm^G;c0WQErz)p&Og?_Tzi`IA&Bl?CMyW8N7zkier@M`mYncq%)fnQD0C=@|~T~ z>G~&}Zg~Sz8~~*Pz)kmG4&PFTN_Jz|B7)lNe7xLJWz!cKOcuIn=MKhll8M{S&pJlt z-y2bam)_=k2~hkpjr2H1>9Q|#%JgcZUO1U##G5-OwlLe0TPM!SBQ)z7Xe6OL>B{mt z`g>< zYbvczoyU9yLt#zf9%31nmn%EJpmGJNKSp6PDYd?g*E7ZCS$bnXWKKV3GJy{`(p^qo zTu1(j<#k9YYQ)M|1r`NMpPW3q1KNPrF+ zqOf#*{nS{WsfC&7I1xGZIaXdxV6&~$D$6Yt5dt>MSz!9guz}rZfx@8Jg_pK<$w1-3 zn!@`J^*SCJt~>yz+PQeD&KZlGSp~E_zX0v(aaB%FYk@X8064I4TQNL5mjYIDokWmN zR#yE$p3TPXQ)|5n9?s|`x^JS*oAt2zX3iBS3NrOzv+eEQ&UPlsu^Sp1fFrMwagIW9o)CrW$xs0S`kCT$|H*K%hP3TTFlk8wyXBE*<^cQFqFc4ps()@9o;ihQc{p` zR9I^RN*`dr{K-W9{9?jiY4S8z;1mRM1j$Bs5g-9Bm zdxJLG<8|4Q{d8JwO$LUJE8`XMl{t3I&^vVUCdHx8BS%qUuu8uehH*D8X6LparoAGO zp!@y~W@;mURPQ{EOiD0)f@n=~qZ4~4D&CR^Brlt1QmDGeCP068X)(1isxiHBXMINS z9xioWa>M%rq7dltjw8;)uBo^-klOf-<`;+!DU|i$dxxB@bZ*h)>_}JdXq4a6f4#lx zuLfoPRvzAl|Ef3pV*`#1Kvzli{?$tP`={UE#2dF~@1!U4ld9L59&&&^ie3c6=`Fy* z6ZqUkZazHALs9WPIEXvYIj8b2;`j?{)|r$xeJU#5p=E56xPs?@cdYE&7MUQ`U#~(F z9_#OTmP-TZp0YU~xWj;Lpo}peEGYrLp}%Wwb6h%=+lVKvm`d{>2zgEOnEU}12?e$I z+`-AEYjXAnRriDP9QIOhM#6C$KL%f`87Fg!m(_SiVqym%Z(<0w@h~UH(YZs4^Ny3D zJ_n+va#s={+d`;M4%x-Z!_u2Y#Kns7;_hbEB7EtNa)8z6uYax`1o+=@4LY{c+?^g|OgWb~e4e0F_Lu;AofLFh~x+^zR zVChs=$j3pcA}YhM@^6zInU15AuvPTU+c_6UXfyJbv0+c6sDX|pgO=f)#%Z-C1W>mK zTqs9q1FLun%*-^b7yBdqtp9bjAb=^cHn=vcMyrmbujX7rP>|j8F z_|5DVQOZ^1i(O>x8^cipib`wMp51~y@85uLQB~;_ukX9XsY7$!TViRo5plD^GwI` zumf90s!KoCc!Lr?F!wz4`zfQ3iWi@bHq{teUd&G}B>ND)2oQpkz06NEwZ&Z>yhRC~ zcVcV9%^#@*=k>H}oT;Tahk?iC9n0urb&;xk2t! z9Dsofw+zIy7xThN9hZ6>qej8?i!#gxrg*%n*EaYJakt4jIm_9?4}08d&-GlFusF#nZOkRuVcnaSF7J zB!BPeww`nPau*!Ayig&m{|?G}a)Qf%LTSc1iS2t{B_&mxYDl_|6BjF4e$AuRm$Tc3 z*FXIH;?l{U*}JCMT0>2@ObU-I;cI!ZCpq4%0DERBUdArwQh}d$tBKg!8QhmJDYkc^ z+roW@)R11)&$x<<;hsuO`MPw|tUUOKy*%T#aF!yvNvZa?S@(Lrqm$&)m&7E)H-oN4 zHWVxqZ0tWP_m&(QYiy9 z^tm$(G+Q6*HBPBB4T3tY>eyZGIavAEpc#__Kf5(iOa%UhFk(&=T3T9Av|gwTeSBdML^Bb~xtEZJrW&y@Rjq2{RL%ZZ z3zD$Fn?Br{N3dTjrHA>^cz@*6+O&@;%U5=b`WbUmxVhS3Z1#Pn+_Z1xS9$Vh5%Ole zBAJQzX1l(Y8zgdzTd>Pgx2pG`Umj}yvwyY9(*stfm5{Dn zhLl-NJj@sH{Gwep3Wo;GfksA#DQprr-K$hGwL^`tD zj3W;?r`KF+i+W5RwtE*(X)t~Bu{UG#v#tbO3l zqtLQ#`QVJ2nfV)QTT*-NLZ7y948VJ+-(&#F? zl78W*CJ5L$*tuD1j_47U*UL1)(aR%_>+?c((v_kyH%CJ32+Om~rX~}U1WCtvxOqNr zxv9S7^`Y<)PR06?+d%Im@_=AOB`)Q6g}5jr{nL4+LMkl-bEiMh%5A#&!H(zPAq9Yi z%~RQU2q&7>YJ0r9BLO&V3j&s{ZjfhTA`%4aA-nl{cJS&-{q}%B>@WO$ zFUgB5vFvP*t9u`QWIXEX7gW}Syc)jX=G6TG60BHzb<(An;C@PkPG87cjaKvO{g%+|}7Py699+Hrf-w z)#5K;p|oiMRTb*V3j9xzjsDK`p}w12j)&FHQWCX<-gmd!-p4qh88-`9HU@F!cgHXl znrCa0fCZH4f0?7tEo_m`Z-wy7OP^F{vSLZY7~M7Rdc1~P#fSc;Q70-fQ}3PAT#u(^ zM$Fb$g{?jLXVq%3v$I?Y{=-^W&8j_kmQi$SV+ou1$9P+A{|ByjLG}js2NV-joJqv4i1hZ=W7fYdDeqR+CDs~QW@HFJJe3+KHR zZoNGNf1x@@8Q4R%`Z|{YQTQmAA)K}~mJhzY-*hkv&Xh8PmLK1~Ap(k|hCV5nxk`IC zb7T(y_m**CGh^e9uZXDMBO+)71yjM5im)JPU!(3Ijbo{dlovq~%0S z&`ldCI8wdb5~_J|3_rW^&Z zVv#11He;aXSO9No(qYhf(m$c?*-;sr-9;^*U15CytN5rPLSen9&RQZh1^^bPffgr% zzXV!cJljg8!#7&zKwvAG7nPhOTguQyV7hzXrdMJjF<=S0+j0v+LQ!C9qxB_1Wg_X`dV;Fd3!yS6c&+5cXqKC_x-b@{#Z6#oS%Ra z=aWt0mEDC$?WD%E4pBP)U*M}d$(-C`PYOZlE>Z{VB5L^FSJBrcixqKgZZ-pM8Tro6 z&IQXVX(TNFmLW?2TOq@RIiLQ8FySuYZklSlL9J7rYwAb@lVtYzuod!Q^S(Q8mykwme1i;D*6Hu=7HeLmy_ z0Y9s_Mzf(Qxs#5v+5X*YkbHpXPCN7HM;PA}_|wh-Q*|W0661O;g8So^n84Qxgpz&^ z?_czVDtPd|e}S~@YRq873tzdYUPg|O3tp;s*1#^(XRzb2Z9Pt`OgV56=Bvclp?Ss% zJJWR|X7dyjVb<0Dq^*pE5?o<*_d}(Zq{4KC2PKRGCSt}KU(b^1_$=%r>hDDfh*3&P z`0+9$jXLK5qy{dCdtj#D;tJsVo$5J+?zh2LMV&n>w{h<@dLlPT{SQ5x z99W}7V_FT5W^It;2_%)wk>-5U)ETr9C--kd!8ex2+oojo5&(k}26oowTpcSoiI^%% zTBKh${Vy)SqigsKAkY^YKYt8n04nq~uv4hZWFPeq)B0*63D^Nc$$!om zj3>VgCS<>CI>OrU@0e~;x_`t6U-YT#x?#M*tyZF2+EUS(?dy|$=QhYo1BrdQcEx4S z)u{!^S;b)pR@l?QBf$yLySIKWZ(|}kaTPwA^7WSz9YE~4EVQsyV}6!@WLEQ5oO)ds zWwH2IU|r~v+GMqLoCmEuZ>b(rh12P(S={B;QX3~FesI!i#Jc%7V43v5!CenA>@@V8 zqGq#B%vS>bB4A20IDRoeQi>{pQ4Q8S+xMdguu*a+dDet#{kvQQ*|}NL){Kxu>2v{O ziiV3zZI4)AS6kTySVWD_o}V@>%*~Ois*b4?YrY6b$S!RnzzIp}At;zEoYK%x+Y>~G z3F;W&e-X6XHOLtw>U%5@{guk@H}V^N<7=xlMIXA(Pwki{cL*60uHcqsLruD+v>wRo(%Oe@T?_6a1uZIq8=6243Cl1aQ$`!jHQg% z`}#}n6ATSm-A;3Hn|H$y?Ek-Fn_uSDq>w4!lxQkxQ!UqOdd%l>oMY9FtDCZnW?~If zP`lWK1cy7kfUM-3D^y7aMr?7f8}^zyhzGCui-6C=Jk_oB)qDMYKs5Q1{jzDmSZ zouV7vXMlW{qL%3wbDQv#ARwX8F~ae`WjdXoO-v;9q}H$sW|J6HWrI7+%&kLV7`_B1 zY4uY{+ZSp*$?4RF7KRGm$);>o9EFexErNPKgW%-8FhM}L{Gm6sGi$dp=2%ff*L3zW z<9xYZW`4?Gs#V#*pzBQWzl3Oy|Cf<@6y8kDU&|_Ytd-_&*#d>etcgfsTymW5YRwUS zQiJgZLj@PZ;@YqlWgz$5O8hOZJAOuC<(`5X z144MJoPldKL!6g~s2MPrsP*m*QxFdK37ehZ=0S&rc}=&Oz=K#&7@o7BNJ|>0aQF=j*}7`%48LB@B%aM@y2K z8GbG8#JG>|BGOwr)>7^fzzpTm-JG)2#Q&9=^?yrYl!V>R_7`+*yc86$8XFrw$ZUzq zWhzBQMSaQ5y;g|?=iEBn?*TbB$&^MuIR`5DBB0Oct}VJ_J$%7y8c3KT1~DdLs5D6S&9V&YfHt+{VD{VY6Zt{ZW|dJ zuBlb0jpyOV#~fvTVrxhJjpSfhyZp&ad}DI32IXJ{_ow-+75+L+m)=ZMQAc;l2Jd4c z^Wn}wZ&8(>-MmTrK9yidxHMn@0%cT9Jet2!<=yF+A|RkXlFtAYLG91Y|E~^()j1Uy z-wEIBa^BybC_cJ$adUUVV382tD`bGK11r?up!o8*y<`VxDc~-Av`TvQEUx=UwILXY zaw4uxx5O{C9QcP`HtMjoY08J&yektioVc>LmCT7^)LgQrHj)S}!nE1%8RKi!dy*Ef z_eQgsY270o<-y=TUH6mNQ24Kwcnu>kaU8j-=Q% zS(I_Nt!*3muW+e)5O$v(;xFpEgaStKDd3(3xK6Nf$5sL5-JRxwM8D4ygcyL!IXG&3 zb=jC|McXTKFwNq%o2+7~kbA-K4HP<#7q{$$L)RoL{nKd1rC)xyb}b9Va*<ZK0*=tiSQ083a&xD??de{tJ>6u}BJ`zEeIS&+~u3Ti)Vd&C6<_{7XJ} zY%bZ!P->_-ErShyv$}HFme#3@OkvOHp{>kyEOBYV!nvf=%f9V*_}1WI&ur&nt^Ntz zX97qHkIf?zEb>s|9kd8sZ5BZMDKN{WSIrv+f9Lt$oHTg9!;1@6*E`^p?YuV|2g0zw zT`YP<5-@780eiPv>lrb?M|lD~IRFh(@Rw$}8Qg8Q4@tB@&s&d~?_D7=++`|NtL{n$ z9}q=!MC#7Ajk@ewWIuaiWqXqo&o(mv?xEZq>2DaVnA(jbjj1Cq1A%@B&@lQyDKWHr zGYz|xb5R0V zT?lepOLA@Mb$oYhUlHq!HVriIWIgseKSYRp?-tARNMhJKM-wxtKCC0CpR!*b_(PtU z#DMrgRhT3+*i9D@le))4C<%*O4~UpVGnMT3hgmG^)liq3EL81nHv9j=?>_-lG&epT zLMMV75`dE}b<+R0LC$(3K(5@ewS8uC&_Bbg>0~SYy_B5_mS+;N%+<9#(X5wXiVveE z9T0C7bg;LmxV?FmzLba`giUFX*KM)b%nxl5)b=@I$AFi4R|ippp89u;q8n<}r5azT zq7X(criCSJN?#8&{+1#@YviL|a&^J(V(BpgfC3JoA#j#!0f@01@gEqcXkVf-ymFBD z;y0K)Q*?K^ZMDFbR)BPj&YuSEJo6(PEP+fpUge4K-XY3Xx_}eK8Qfi9Ba3WgWK^ct z;2#)x{Lbfb=El!I(&py}dNrLAfvFPhb|4^067ds`p=IQB2Y&CkArgPV1iapP3wLpG zG1r#`yp$kN0NuJXN$~SfBt6KU{J#VuNp>QZs%fStuy7sr@{8iOX z!()usn%?H_ND=DA;PnvlXu7y;#=ii+VPJY4QW>pWm>#SoEPT0yNXUE{{U~i5ZPoGM z-3UA@F%z#7n4JIqLA30PR0IvlPHp&Esf=la|8_je)p%BKXJ6D|60=NG1A$nC-k*{- zs?Cv7Mwji_1%XvXAATEw_8=^iSVe+uHFlO;M1rvYK^(z$1yd2}+%l8gsw?-OQ!cb_ zqiEme7Ky*A+#W9!kKA8KJiDNut=E24n$re5Zq94zn`+57I6qS?xZOuVI_YfA_2#v} zWUSkhex1;!B-C5Dg@gnw6fNaq8q@V!)o+t(!7Wk%MmDcOYu)N|Qv^Q0tE($eFeU+Q zLQG=f_l5?K=pDT_Um@`2FiH`FQg86iz$z72S9eaustr6fbY(PHu#HC9IEQlqraJZa zC-?cszMel14h*0zE@IZUvddFs8OMaKaKALZtR0pKIq=jk; zMoqj&TbGrVYat(d=j&G#!8jun+-UbEE26(tS$yuN0Y$sMzr__&`4yWqm?f6(2|k;d zb!$GP^xBzagQ8A*agZJdR3KdndG4B=6C?=F0Vj7Xj+U#~;1t>mF|m5^8E8-BT4&X| zREgjPhC$xCmu!2V%yShi_KgkS>+)iNd9XRse&*#}NrmqX!{xOS-C#10ArRWJuDN3n z-ARB>dFS5eRwY7Hql3G2w|V#R0c~Pz%5L1}R%5LfiH#D+)LEk$zD;IO9o23{Smn7` zqhgr}PG3<838XKROcILyzy?qs=s*SCA1#f5<*cChWt5QDxjmq-7ipCC0TXnP$HL;# z{wSprv<{zUZ+!huig$IY6<$LcG`wXpp8K zW}09XbY*qVmoE0JKByy3ONJFpzp0e$#3j{w^G12RKw0_4xK>5SORrFxE;_pNGEupT zSN{6!Pq=G4%9M@%u)LC=WobG5Sj9V{o=a(`zb7Q;m(UPzhtHjFwqz#tS61%EO z_Gz10r_o-o^yP{IuEJdv87^~L55IuGXSv^6OwV)zG$L}97KZc~=kCg#mzy-yf)3O0 z9d4=a&i5i2k2WoyzR~b0hpxQDA*PV-PPq63X1zbB{s~V3`$vRkrp2cEdi<@s(b3Vv z%@L|tMolch3!SbuQ(SBWdU!*?{4@u&QTANgH{zcR8N~5|9}e~_uP=S({n7))r|^EM zJfRY~d&s)q3&6}Vr9bNRkLgjm_3O^Ojw`9`C?>RwUH(P!#>VI<{d>*+@R>x|oChM> z7W%-h-g9W5_Bu1<0|}ywINbKAtcc4Pv9w}v*4O770w1EIdW+n z$XGn4n@Xy@8*eu*O57#ja(_z@FWB7n-OR@eM&|r7U&?0)lXpi@{7HD7P-*tTW?H8Y zelPoUv(K%x;Pmbt{qd#rwZ%bYj22E6M&?&e<<_v$O+Ja7Zp-n4uOLEX<#4(E(X|uE zz@Nv-1U^c?rXYUE2&=2B_*Zwfi_K^V&oD710DY^{xEB|QYhUs35aQ7)1Ox}8vKTaf z2gjo2>dA}f`xL(=R|CVv!V>BMx%&sbdj&BR1LL(N(kbkbhB9(o1G>ZhhVE(4b9NM) z)_`viZvQ}wdj)5S9Db(77-h~INHn8vp?_hBE!>*}$qkQ_-RD4r&z%`Z-DaR-ydSNU z46^v$J2^T03pwv_owA2>Svx6pa(ph5^#J!f4q%~#sXa48vVijBqZ`Zex`^A0n{Hyc zyM5`J&D{{)jn7K0)*~BDR&%AifTSHk4Tp)9@9P_yYCHuAVBa35?UqN}o((;;Vq=}h zabMCuL*U@#G}N6{V4N$`tz)STu$H{orzlXF#m^R*7<_;erxpE(KtR|Wt6;k3V!D|$ zX{6z1L|x3}jWW_8iT1kqBla8rWeklx$lfepE{2HVT<78mml@}tVcNAH%-r1Uh?3m4 z+hzj2>E(KgT}`VG$YS4}CI70J%;gVb<*h8V8=P8q87F8w)@Nk!xmWlhaKB~%F*RXS z`m4rE`6km}$T$8=W{ltOU+Mb8rQ)(94j*8^1u{DfrMw(mim24olFEzxf3$Hjm9`54 z^-WFfQ&U9Q(vd+jx&GiEpg3ui>4h``82RcB7Z2|V0;q~WHkNp)4r_jt^>oGSbU_b) zFvWSp#f1+R;%Lvt>pg%le+dr{?^=X|YfWEN*A{^ZDrVdE z^kGbsQu)gIU_3eb91p}@;Tmq~6$WbM(E+4>-$?QCHTP3%C51!USNd^RZNXv#+9w9SRcD7qTw#UIjO21S|eKI@Er8OY`srxmaAH`z?7~ zRBYDBi96_R1-;JYj1Cl&k4B^^mx0#(aW~)I-LZpFLaKlZI@GEy_2EkY$3+~2`cnih z5V>7$pV1FK3xYk^)Ic5jrn9@->el`LA?v&2x$eLBrJ*uPNOndk6iSFtveGb%$W9p{ zWzR}vz9mE%WfUr_B-yf(6=h_PtYq)~yI$Sj@9+1=ugB-}c--AL@AvEV9Oqo;I_F&H z$>Wkg1;VOt?|Z6T-H1y)=_1A#Y}5JXOh`gSNRff`KFy*h_WHf+m&c;@Js8uaOtmiY zbf=Pm1Yd2VK`&l|>4rP#Qgzvf(k$1PABytW3Xlm+D-pYZ)nSRwv~$ z2-xDlL~tYxtX&^Ue*8+ace-DsUF^;Ti>5mV^0o8@&}31CoTYav!zXMUA&jIWB9jD;BCf zks#dXFy7`p$zL_RFw-sIz~sv<7Mn2ood1wo#U{^a>6J@j+fJ1H{7Ik3&DDGSCx=H- zNAUx0+pp@=J|TtG>Tfc7lvr0iK5ycX@%-CGw?jiC^9OrVsxBjb)oYLGo0s?`@jG6- zXd!%6S=3R~A7Rtc{KsKr?boj`*)^Re+nMpr(M1mY6TG@{r>|TQtux5;_8ga@XA8A^ ztdm;tG0IWIh1~#?ULY99^v5yguJ=QX$HXYrmXMg3AkMQshR{+a2Fyjr#Mn;%KBt+i z+8eVo>+&0TBb_+a-?|Y~Mdq_mh6}f08)5vY6NJR9*{ai>HQPUuD!p>cH%Dw1RGq&G zvlhli+QbA6RQq)7dh%gX=p$CBa75AD5FEyuj?%7FpJ54w5 z>x5R`4STZUdEbJiX74eQ+vnQ0OB2zdUA4bv7(<>se>1iAem}gw?@15xDRq{t9fkL{ zD)vnep5b1*BgskUmEBbwp_^7RcYIeFtIQ@>SJ#G2GO}aOsLq@@qn&+=sX6-6>Gpw$ z%ms_}sO^ay^ZFO%h`$cnkrV2&FJB&bTxFMVv7n$p%Gg+?7@y+yd4PGFRl)uC9na!T zLVQNPP1QFy?>%Apvp7@3)55)d*28CRrmSj=e`Zbm^4kZy__d1hmrS>Lrv~A36ft?L zV(N|hX0xXXF;GzH+_@4+YKml2^XZR_j3i%vyB7tXOKsCD5Tb$P=5TXryJW!&XxxI8 zdW1oweQ?F;sqG&v8Oe&v%LmqELvKS#{*1D+e?>5F3ezv~js2HR+V^)pmVC1QDQbzs zY<+3ggzR+Z^iw5etzxm?JINC!23_?Q%ah3Ny}rD3dpE<;`4>DtZ@+upWF22|uiW*R z%Q$7FUYZTBrb>>N-)6N1BwW(JxA5FNWV<#(Dc%}sB>#7FO`D@+cYPdrEE!L& zUq0)uN8iF#i#*(etdmfnm*YAiUAJzpme4LN8q@yiOhMbF?fQ8;K6p}n;kda`RwuRc z-DdcZ9J}~~3XT><#uf*%d&S|ShWeQY2L-OF53e-YzS-0wntFR+nc8lwKj?9Wp6^;e zRblKpTlSdmX|^Qh;pXy-x*YXpW4^7F6p#3ry9Fux|Naf6j7T>e&!5O#zqaT3w%E!J zFUP4CFOhZkpSDap8ECF~(i9n3zqFd%dg@7d2^x-Q-=CnrawS)+D8HykCapWi?+RO9 ziDP^BaMqulqOmT4iidy2Cp74uQm(3~&-qUSUa zU(EjSntdVfsM@v}-0K!Ze6)O5I{Nx)ySc@drcSmznu^;G-)+);f0(LyPH(Dnx;8%H zF-@y;&py^SX7i^CF%>3R{ngHFo9?tsE7d7Jy<8DuyU~CPsaKl%7c!Md759#hlTh7Y zQu1J{bGlxZ87(xHg)E!ji4_j5F3oU;D1CpcC5Wa&Ml|@!s;cfLTsKZ|;mqbuiLPk8 zB0BY#`p>=c_sy?K5vS5~<<8qvOXANhz$vtAf ztiSW8MNeO;$ThdfD?OGxdtQ3cy{KvQq4M6@zOG#S)t2r=VJbSx;;myOv|I|L|J7Xo{a0 zBzo{*uDicMrm_63uIb|n!8=Z?8txyo?k3rA+o1R5z#9)$@>l1T_J{ahI#*nMx8S$H z32WXPy}dJx86ske!Ld@A);|x4Sa)dK<$oe{ZPr&u$&t;^yyGn7^KgCBGdc3gJI#k| zOv(AzoqwFq^;oSgC_FW}a@g)xjHeD)qbFZD^U0HZ(l5^_)z^G^9YZnMl-$7FNs{Bb z|LK$1Q$Yg~Drice$eqxh&`01tx2bZ*eb8mVtWt6^GoU(ISy@9XtC)q{_-mgwp9VgK zM(7SGecO#R9~ z#$|KVm9p77lJmw<0>em?(MuREyO>&ASwQfetAVc)26j@<0Qwxr`b>9hd4`7Fp>4X zzy_%MwWj8Q#+*g+)dFUocQ4I59=v4udgV}7wn5=V z)Dj9q4GXm%Y(w=gDlxs<7R?{0Jl9#DJ-a29%KuGAH^KSyo!br$3Lu_U!8Cr_ctSEq z)sm=HSK#HhTHFxA7^;gYg^eAh0O;)y4%0%_Uf6qrKe6nczo?&#BV4`l^@P4r{ z!i5S-;>d!xs>E=s-I%aFGgRM?Z&kWzny2cXI9gc*EdQmmfd93Cj@SGV=2AJu*I_R= z1{c%$r;o5meWk<{-No;PvLW4-naT$e4WzF{Hz-kHGC0FdQ__{Xek9OHn2TbvzPeeT0tygG|=-;zLMIe+x_A0P@Qi;KXYhkvWR+>M^-a?B0fQIK&2{ReAcN-8wZsb@E>G`289bP*RzZGcgSn))`~9)^ zVSM7P^lQ&2FD@w+9lmT)Bjv<6{=(e{ukTMXxee?>o?&LY|4&n@S8Y;J_X~yptp(sH z%{#2(67c7e@j=;o=`*d5gXI+CxSSqGdx!I~o4~cGW#77*dg}vvL5Nxb1(oN133+F) zZa=D^ooUFww?suR@9r^^{a{P&NSoE6Y1+5!%^7P@hf0Za14Z6(olSzN01q=0w+y{@88kSSb{^*k|6* z-Lkskz{vK<|5vK(t_<@^{lDEgN_O;n4vjZxY_VQtxI5^P6h5$swSTGBTvM2E#}y2`K`I3#+B3t`m*(D*+ie1J#q_C%MIz_py+cL!@4 zx~8sITyR^dm7BHJTo3Ykue5RQ!0F2@cQro>dyZQ2M~I#sX!Q2v80WdZfA%l;tp(>9 zL&;+_QR_~=o_#-P*MF$M{`1VsbCUNA5BmylGRf@u>fYh@lv9G#tmiRH?$MrRG&e;t zG3)BM=Xge(C!40g<-Re&=J!@ZvBfs+C!+I1S1U{_WS=EewCa88Q7zwO;64}LoXroe z36puEPu-;{u@p78%JUgSbL!$3M;>ymG}ol=Jo}-e4pvvazAj8sh|S&h#7O)WOvt}B9%cQdAS%5G$S$hfZ2 zD!JA*mh))4t|()8b%gT-Rg}Z{S^THTm5~{nYYMsYahhLjzL9G-OwY}sYEcadNK7d> z9j9t$m8U7B$4^A)CvlJq;bVxQDr z`8!Nd5_tp;4{e5i$Igdbk1l?q^dXpLiAevV99Eh zi}|Swbv`=O`J-X(R&P9CK2t3}9Tf4R^7E4u0vAoaj~?Hv5x-tyu<}W!59VI>r3U2E{{z;vy@D=Ht7DGZSIXo>!o_ZO8#?eD_urinvXgJL!`jrxy6#d zS{94G^+K%Q4^REm7cK-gFP!J%;%a;cK+~^nCvs|yxBpY>dBd9;I(9rR@+*6TY&RN? zCu{z3ETkF#9)B)#z{y!URiQNZQbx9jpdHi5Q`_z%<RjQrpqdv73=`;YC`zB)s^olXub^Sj4QUP&FkR5i(AQpP(V+)!Yg>I`EAo z9ZFtZ)ws~%zFEfk{o?Dl(y7*7kE*V!rf|BYEs37EY|%^8L|0I7 z`{?gbpRi~uflh;brLgv%xx84l-Aoynh}IW+Fi7>%JbBb|(}NQmN{=^f4L;LRk%Mu^_hgPbL%TEDed9+HZ&2u2`!H-B`=mm*+6H=f5L4c*=d5{-Vs%7KSlp z%65SIdTi*|L7a}296Md3Svy@++T+0-b(b|vVKPW2TkT5 zoJO~f=Ay?rIXSuK8nBFi{Q}FzDC)njS2yIW^kfbz$<1;c4pR<{T&Ej6+Rn3js_P#& za^oKh~~J@ej%lm>RF9c}}(@P(6HT{o@(A5sE-C zt0cp2MBR-=h@7sH>d{rdg%`YjN*o;X!4;s`#UcIk^9uQYAvo()emaY4YAyNH=I+On=t*(N&Ndu>}P z>-o}abvF%^#FCqemmZn>=CcM{c^){ugXwi`q#p{rWRFG!khGEkMvVK){1%snUi4l| zr`fhJx^;oXrkY~x+|c0L6$R=9^gt%Ju^@oGVz%skpx)8d|BfmHpphE4A~9ooxGin# zvcu@T>{^zRFM*xOzIONVo1d#aO@{89v}Vna(SKvT5S7+GG=*b&{;5C-lFNn`7CQll zXaD}91Jv=6zwXH24TnxGTpI`(ua*B!x@&S7fU49cb zEbdYc7MsIuauc#GUg+>iK&T$iT@X=Ia{)RgJ-G2X?kl3PGM+Ty{zr2C&)>Oo%-F=F z;q^rpZEbB|lEy7ulT66s{Y*FDKzlqRTV>Due-1GIngR3spFcHOrCjL2ub%yA(Ii)S z_zK{3MrP(2bRo(EcnW3BED{(V^{6=zzQy;D@XZY&RE=m&di?ykKL)z^lGNXgcNYai zk(Ul*j~ai`_T>gv(lsh-rR&QZ8^@Qh)vu3XgdyS-xwltRo!nL!QIADr%DE0V8$Cf*El61gO3LQ4FDg5=Sf zF$D=Q&3D>rcG1QkF~Tj7O>!^)m3PIEPL;0&*5QihBC2V0vdr#J4^$Hwq>QXAdbSkp z&$+qrNYiP5zViw+P~s*`sKEG&${gE%A@fF_23!Bj>gs!l#1qQi`zkp+>DeCnW*MS8 zH0SOR4MxcAm+)8U%(2~U)s{sZ67+=a!aFsD`0l(O>F(~kMd{Kd9}JqR2<8aJAYdcN z0Sa_5p0OUy4h*C!Ip<5IJ1%|0cWh5(Ad?r2wK2L-;0I{&CHT{Y>DZgBt*r^=G)>L0 z5@ZyL>*{DQ7Bb#scZknJw4*dQPXEvl1)9_F0cY&!xf&m!_zlP1pA^S%>Cz?Q*{nNr z%gLoj1g*U7%MLs3zYux3c}(X*XTk9_v*42F$3sU#XuW3A$BwDnv0}rymKnWe@5f5H_ASqiiaSm2#~2eXi6<4%Zsg?TJYz@2 z)p!p{!5*l^q0si>@F8aI(5eg^oxfcL?LF;gbPd&MN)_t)6ojfdv2QsJW6Y97)WIRLT`KL&eJGmD)5@%o~?VnZ^9a+Uz4pn_hN zFFd|~cgQxT^X;ozO}N32XxP3$wQC1dhMIYmlCU1L92plqrjCh;4gIi^V}2SEVw7=Y z#^3-V6yx%pPEJlQfl1*&Y1#aUqeT{o$QWTjIbi>H^fETsiX3(PU7(Y?m(APPzX9~_ z?!9|`;NtvA@eBz0zF;s*1}4EbsQD_L{b_LmIk=!Sr(I;YxZ-xhyX#`50>(S@KHO80 z@M=PtffhA+aWwkWWWL$vAKWSKkdSSk$oZU z{!)_%X+zY|?4y8g zI^xIzxcHG0>_4a8JUJcv^)~8U6Tqo}U3oryNM{H?02pHeMOIt}HQ{P0E#cvNYN4w`q)*r<9YIH^RFNx1@7WF7j*%SdiOl809u*-0sFzdp!H( z#6~KZ#nw+Y98i;QNYj%%6eHu86z0NZuCblY+QMLfr(Z8HW{EEK2r|P6A=vlY#YFlBNpTD*cdH4J891W zWnU6cSZeB#p?uzBWW@aVeCOjRT(q9`awT|fLIV)|P&k~M<^`aP)?-CvX=!N?s;$IR zY8UgS9v}Ze9j}GMAdYP@j}`t@>v{Q=a`^4pVKrQ>IH*u7UA)Nf-*)VWTu1_5OZ9CN zcIRGrc=)i=7ijL_id`oov`GH`y@lCqpn-bP2_SH|s{(;#B z{kv_;mMy-dvkFAEO9v)OvQ_kj(v0|!y9bB+EG@=oJ%metiSg!y1Nd(R7{F<5(vvZm}%uvBE7z7BB!A6rM8xu5RU}=Pn`Tp z;z~49!he<_9kQF9y>9dmIblmYTxW-AarQIuZVhU7Bu&0@zzSa+HDlu5b$tHtFA~Qm zH_RbuLA3+IS8x2(7jH@!rp<7J*EM%qgx0fA_1V?|dYH7YemP;&#oF83OI&Qc)Jydg zxqqg*(V2*Xh>wSl$TZXN?Fdje)bZb8d6qsC|Awf`(~7PIUsjXl{_zjGsvG-L9e-n6Yf@ zPJjIZ7f5~fC%y34^Y2b74FSPWpvHG`zTJk%6*bt}>5L!BhUE)8s;6_CnahO{g0}<@ z-_zeu+zvQ6X5!hQYVgvgyO6cueB#YJNejJ&E8~EHTf&vMLeUVN&Tz8wxFGxCHn#;? zP0wv^AH?-k>|zW`O5%kHd<4H;6C?r{NKY*j;Gf}v5$&U5EFXcaZk_jxv87C)k zj8YDS_c_BiFvFMYi+Ei`@c8l2yIqV882GWnTXqu%2M4+jjlVqH@!vh!;fNFwjQLi= zrNS*CD+yTY{8{V^-JU&Lcsb)8ZSey{@qRBE@lMi;}G++3g{ksdq^sPe9sJ(64 zzH{dnl*I*Mqlnh^Lt1Ik!`icZKl4%mts6YcYL^0z~FkKbY*6NpF*y%vUkER+MN zn2!CA(@TYgVY;TLH&sHxVTkO{-@#eZ-@ktm#Wr$d{0}0P5+r=bc+?Q>`0?B!?1=QJwzdBrP49@30Wc#R z(CHgD4wCJi*a$#41Prwq8-h?x4%p>?ZvAtFswj$PQhv1uEyaiQaKJpW>#> ze)XYd*&m`r^glGH&0Yd>{hpw>i&%d+J)sjP2tW2Otb#I6yve>m!X~^@H~RfGut|7~pdH({7b7IwO-p+prpA|)&;qo7wV11s znC@fNo_$1md6*j;*9Ivv%DZ>(B44RTSknMlv+UZI$KXbc8WYc9qxPY_1@Zp~6AWbm zLNT9#Ciw5+k;so(ew06}1$Rl8#5++}%-JQU8e3*KXfXe#<*l7!t=jfr2k3Z?G%Y$;) zMwVNlHaWy)6sU7H$R`FMfh~zY+T!5!}zukBE(HIU+HU=TNvZ&J4Mq+=G`d_hY1J zJY*eP3tT^8&-%63cw#DWYEnQ=f$vd7^khU78feZG-`@-rxf!g3X1YEb=0(XPG2D|S zw+x3v_xkl~j3-4hk)D#0607qPdqxmf<6Q;(|2?;)r2QZIT*rxj&$DeCk>kCi_#x9? zI%Iq&4UGa`RSo4B4Qf<%1aLtQ7pJ(mHjemmM8{n^Qho~!9v9ff7%p*gdio143(OuH z;Mj;jc9qyQVzxQ5>LDQ9va+(s+bNWJhzjT8iVB6(vRtK4LPAQG#!n<_rl=E93?OLl zpFjQ(XZVkM(7Y~Y-9hM*At4I|z?QRIA-<&RL=w8uib(DwwjiQwJlzu%nL$Q202N`= zF3*%IGn~@h|GU+ts8t|rDnKEepoBlp;W?bc*22X;N{}CYLFpk?*YW6$>Reo<6@3La z5FYd*A&GUnefREJS=k5wMKU(_8|&^l|FLh|sj0mY&JQbXJG|f{UQg?1r-8De=$M#a zBN|?4kbS8BO4$fZ0rtIt|4#iy?fjObSSKK<1neoXPS9Whd}J%LI5a|!b)rE4Bb%;Y zFx@u5D3_uc5AH+fg8cOyh#Zs2npQgy|k(96lk=dTfNem^FL4H2z` z84iii@#AL^51~}W32fbIltc^NsM!bhX4v!p`sBc;7Y>%9h!5!YJ_c1G0fKm_krNjF z5)l(T7cqYT#`nX;!Vt60+!J74D6ieLu=w_LNv`}5z*o8Jkre#`2{c1I0FhJz-7JCz z`xm4Ps2!q*`Y(lbN6vlFlV7^J^bu1K!jv$z5(==O1K+|Y=jU%M&>jJWr=9O446A{7 z_9)z8?|`8)BB}=Az~^{AFx^DC8J@2XK7kIaxaDmE4?WDSn1Mkz`OxK>x;h2$7F&6^ zj$L3yIU2~s)*??CgpCv`Dk|4aP5u5cOeyfc14zaquqGsF_hrMst(p0k4mNJuv13Q{gg(XZy_3MvyD-@TEE5ON3ytAa>_ej{ zH)avD-9Iht3kOiHEQ@&T-=jp&=&#@a(=sr4L#7kbVvNeKaGJ1l$L=72mNzpygi5&Y z$YeLz2JQs19*OPgG0ge=ISvs33`{tb2R9L!0#((=h}{(gi4fM6jWeQ}F!FsrRAl6# z`(+Ee3y>hRcjDak>?&R|pgdLy$MMy+VONZ&B}z67`M63;vzLrTtlH>Z7sks$kqTe` zx*L!Y01X6-67!Bj%oBTxouWNKZPIm&=_|3fjUzuDhl!EXd8D}$9tM`6^HSBRx|d#kXs_&3qx`6F1^UoW1&tjtz4!vM+vb4ZgnAM z3&8O*V`M?EnJc##a<7OMcqh7HCnhH+cSrgv6~zFscy6qT0azPZThpK*rK8A`174L# zB>3$)fVq+=Zr0GgdKIBi0O{6ug4c(3L_7|nkg#yc^AnZ;fzt&f4HiI+h85r7;7370 z7w_*XPrvqg&yOS(MLbA;e*TukhxZju5W>Uc^G+C#!ZJo5H1S zsDXR{o}?#C&c_s|p2$J~^B7rL63HjxweWj#FhsD`@`^n90zC-H*uZ$*wzn^bRcioC zKyL6>laDg`NhFn*oStgEMf}F;SLy|}vu?nR+h|yQ@$4qkzpElet(XV*W>^Dm6e0}I>$0yM!VhkQ6x`b1-Z~0-o6k88*ZaXjahI6%1E4 zGB$nyG6*46)P|rO^WeycpI)BBnS-I&u>{mCEzY$V5R%G7;xxXWDHWWIAyAJvyr(7~ z1EF(AbOMm=W?`X(x@O4^KdNe?s=)q_Cc-?#*@L4rha;-h-e?{UgE0rAkJ7chVPRzZ zk&FO1Cknv`%Y>Sjf@}}mctWBa;WOVMPIG4dBuxQzb#+2N4}2D5POQ~*iqOG>2Pfy| zyssU7bnU1j49e9UUYA{N8Ea16Ec9F7pK5|7yrgJ9P5 zhCy9JV-p#IGubOwp5kW6$tBvLM{e^g^&Mmc-3;JN)C>|7K0aRi{dK>dhZXW%A%?I# zTQ7yr@|{0_o+wK_pW+*+rLNv+xl!ltH2A0K?LL@d;_%~1`;f}w>SKC^LrCNiK>?ul z4{4=3S6|ux5=fgaJ{NHwbw7>jU5te&nq&3JDn%4duxf~7zk~iI#_geS=QM~U#IA-o z(s+je(mCcY*-Nus^W&XSVv1o9u_nwKPHcf$=nJHcBO~`kOS$g-WYevHQ+8h^He`?u zsZ|2tbQP?y1dtNhP@+c=RLHdczrx8I@g{1tsrm)Xr9RYW;l<+8iScDHWv|OM!z=+% zF)()zQZLBo&sb+eFBTHe!!1S>c4AL9m?__RUFNPR?*~ zveyZbK-_`=v*;~fByKEDGKKUaBg+yWAHTD60cL9oZI9YII`|I-=OB>@FG8#o0E=wu zm7%5#)P^9lx0Ql|qU3N&PNvw2f{5S0uT!y~+6RMv^5jVb7u&aQKb@lfil`Yv(1ujm zXouMf%(MyKx;4{;LODt@?3X=V#f|3W*cS|Csf+P-|92cF&x*@(gJbJkaGzX z-rMv-<6eD=aDl6P2-az83aq5Z*y7=EH2hAwB&w!edzx9Cfc znE;T&Ca&TIGd_M~h@7-XzND}ux%=G7=mbEyG6^;YnKk*- z68-bY%R?WWULto4_mfC=KGnc^qoWIzT`29?+W-}uf~OixX#DfWB{XS>m$z{r1LxZF z`*)%@a791yTkya4M~QRPT}X|tnIlQ@pLS4F%NKd9O*4$&4M)n=*4Flr#_Pa)c8Q1G z+=A9WeEq6)t1WBf;}@yP_f`h5rZ9kZZ*CVM7YgNsUZ-1BU$U($M*1szCL|wvyRrdh zRD3BQy}6dcwd($;XLibDdwVWZrHKii<005LUy_0iqMl&cq?g0pMMY14>?R|!hoz+n z-|-dGgAK?)XGI4R4ilIlVmBR~hMAf&=wP@bf`J6=`WQ{(yZq)M#+G3y){w3iiq!Uw z`(^bYx#7*uZF-CezN&ob!N)_64~LOF*&nV<$#%7#;GYtZ2tEY7R5*ZpjVAN!I5nv# zb|ZK{()Ec#_!uy9MY@^7+m`E|L|NIA0F3w78zL# z$#@mxohW9c@bvT~I&F1wDD>BBC19dZKag5(M;P&7Fqb<8sEYU&p06Q=+U6^_am?t; zLpQ6LfjcLGO9c+mhSO-yMn%qVkC1Sc%-eL}NW?PC zjbH)YhJrCgmQBL`J5~`{vzg`=+!6RCt`jFNQ>G~CYUd|yTnB{*j>64k6RZw5s4O_1 zCgb-lrZ;aU02LBGDBJ4Sy=NLl-UR=7O3tU4V4;&d0<3gJ4G}ScdSQWSm9LEVB*Ge$ zd`z_+gG0iDo$(8dLOe{6_h4d5zJ2=>B-VyEY8Qp&ZD5f?6+Jxu(c9AYJp)S*5wsvg zo`m!I*BE_CiR?Qh4dJd9Ka#Xzc98S(D#pp?#y@u-L)oZ={h$4)m&V4q#r>kdIG^hyXCDh=9{%JKb6jYr({0 zEZ3`4v&5}92a@dtu43TH)Q2xVxCWO4hfU;g&?)>eY}_6;$JcL(?a_k#%STC%9#hHr zym^#FK{F9>`a;bFIB<}NJ9`EO=Gx>TYB1oOpbBn<|3b7lEn#f{*^MyVy~pp9Y+Ny7 zEn8$qHyuXGR*3^;X|Ibd@1O+$I}0O0++d&|LGN5ph&E(u z(Q&G)tZWN@pcor$WNLcg5W@fgl8CAT_`gDj3G8VgEt^bT}*A!fr)z^x;rTK%CFL1=G2`_WZ}-lMZn!;UK96{-UPlLrx%Mzkrk@!9om;evvcAaJ9`aHZ?1bKefgRd!Ob{uB*Q}A|*XH#qRs+w-S<2 zIjNR#!)BFfxc|k%vezThOWT>|jQ6QzmU%mGztiI=;lEN~`)4N^LxI};&#Y?gE}-v671okWkYg19?{VwtS!NIf$cJnO z`%?~HR5f1CFQ3i^^gQSo#BXPAE5nmFou6KxSjI^*&v^d)c39S zZ0eofTodliw(J50gF-O{q)t#SbPwCRqdMivTiV^b?+sp*DbXrz{g#&#G|Az= z!$i^2Jx@53SIDaQ+9{V+xzYCKEq-$3pZ(6=mw`RWxiiO%mw+n8tmFLfeM!d&qwf)G zLbsB4f%y`)_}daW*BLcbUbxZ2dGuN?)iX{14U-A!(uCw?aVnXpE=f+FSxuLTf;TVK z6Zw?r68X8V&}(i{3(->b_vVt9+e%+1J8@B2cE=XkWX}6`>Y`Q)YrB0PW?g)LBx=K5 z&&|-`+p_`3dDg+2=#<~Ru|vU8QI_}H-|2sdC8fm&_H3P+oa_lzk?w`ffWnRRf{ZGvd@&5W=6gAv>~_wFAO0CN(F0kBpr7Ee5axKxmY~8GQDkUb z0B_dmxaKd1&LiIsO635O=}4TT@G(8;{SNLYv9WakH5XxuQAJG%xI=3C7=UO()B|Vu z8T3><>3=lem}9j0ETf`XRTAZTW&1?!;O~ab2R9}p=04&}1{~L=-tPj}GO{dZGtVY2 z*ZTR#VsqNo;y6{mYEUrbI^ zX>55RMNu3XA~;?9M4mZf<-*siI@zN&Ko-cJXz!?N6$d{~!+z>360)#N`#Cw|TAxvW z^TMm35=R9gXR^-6H*oTp_j*z@Pg2y=1Ez{E75 zM<~J4@?v;U5H)gbsAh^l>hT8%uCt8iwsQtPPnmxacojKsg4jWNh0q8_P{z2Zljq;; z$+rtRv2xtr5hPX4N%bCF<1Ibzy&T7nTgJu1^AI1Uk*af|fTR28A4PC4U{nW?dIViF z`nU5NSnVF*UsT`(!5RGdz3+7eWV~T5iLWPcN4n3U2ZeWT)gbH!(RJQhra|+WPQjr! z1u9BPJ@_23y?uRsgn}EDcB8){-^Jl z8^Lc88LsBZKP@`OQdN!W%7?FyCz-0&Rz?ZqCjognQl3$#qC!{1rp=e3I)XlLJjYK1 z+RKK6x;8?dC9>1pQ0~vj2ZuG{dUoA4?7PIMmZ5~?T_SsN+-J{TXKIC!a z*SrbOulKzk`T7MVTpWFxFY-q|)+PRC?A-jA%-8y;?2Nk$?4W1NTC%BQB(nNnsd3+- zFs-;4?GIOEQzRV2WK;ipG9&>v<9p^=NvLK~xw_`b)|-BvR1>jKeQ}Ac{loC6>EB;@ z94ht7RGuE&(^aCL4?Q3qH1#lDj)Gpckn5nN+w?Dl8>2VkZG2|F&5C_~;U=@N(p2fV zIGw1~`q_0?OIr8Ka|u3KmhC=*j5UHYpTiVd2Ow-eEooEhl&aazI5fc~>73iWfBjds z_t6+h@*ab9VdQ(S6}fTN=Ssa8uf`kteRfa%e#>oUP5Iy@_n;MF$Bd6hR*m(B%gjn6}o%is9X``_`s{D+eH z^2L;Ad}$r$%bV(+SR8F$K5~0&cr5h}<&SC$cOUNlvMlBr_hcng|X1b*(T$nOcnHRN~o}V!37$ z=TA5lIZo)mz7YHMRe;f{tCc}R%(*`bvyW##Jx1v%A9v;K*O=?;;vAJKoVM5B)H-|4 zQxJyPQP~|6b^q=|z31R!T!DyXV@~Uw?#GEQsqG<=&koGeR5+vbc zdQ*5^5cSo~7p<4Peb3t)$N714FDy}G%1UTQfS=Lg%vp$G^}S%r+b-=&s+U=c)H1ZUrqYZTU%fi~D{DZk&|q%!3JvR*w|7jf6|Xfqxn3-HTV+M8Q1*5w>*AZpdyS|Y_NGbPy2uz=!> zmzM(uy``&M53KUtr+)s_VsgD(Bgwp}kP@K&_;OwXH#fKQOc2vM-3{(J_h_fWOi3wn zy_CM|ro-{(ohiBt<~mIc-^;)IOP*u;n?ql}d^|HcFQ$yLewXQb(hJm#SPjQBym`0w zI_pCCZ02l@_R2}w?M7w{DI3?{J^AtByj#deE*RwS!*kUfylcE`!cEI@lo8{v_Y7ZM z^b%TDXCGCBOAKHX94!6yAw%=}@tio8g3-?n8U9{f)<5&ulM;P&mtsy->~1`EnKl3U z*L2RzRR(57LshbXA{|*I6RGt?yo7vMS@<=^LrL9|iuyQEe2!U5)d zl}ndybhJh++Lo%!Zl5;1Qg5*>@2=Xu;H(P_25dRC@43}}zEcaOmf0}QFn@`W$5PFy zdZCgT*P^k1lM^XF+(ax7PUJ61ka@0s@al4>Ft)TTO-Z2GF}bkW@Mq4B)r@&XS+9*+ zJyEw=@n)OWuf6V)=1p8fBi^VXbeUr-jw@CC%x1eoOiN2234F_DoBh)|`;OMtovxz~ z^{{6_>{Yh(qjDx}C}<@8*h1-5P*b3$Q`;OlS1q>Ks)_BCVyu7j(Jv^#q-6DTzJw_k z8DF?Rd%;SE&BhrLTgTZC2ZK%=oheOeb9I=g_)&^&ySSClly0%aFud`2)5WS@(|I?!zX|3+F6D^Ni>>r3obbV)3{4f_h zc1?Unu<7lZSiuscA4X(`ogdW4CRmML(QeoN;Mlz>|E*J|dH*t(jpm5V;?{W%aXA+S ziIf!c&(%>U%xnHkL}>6H66zK;Wy+_RO#SiLsMO$hLa;R7RQB?F6erxc;7RQ$dADnH zyi~)!gG!G_ZKtPC#Z*IGd)ez7Grt}PLf$1mE+FjDY}5rW;W@%8K2F@Y&YZZxGka!P zC6{xqR3z-tGA%1>&Exxw2yomanv#<0!r`OV8`vj_u zh3qnC748V^RA>L=owe{f?%h~HMbQ;B1t+@aiT+*e7i*@XG;UJ$+!07t+}s$*r1v({ zQT^;G&CD#Db{|+N=0pLM0LN)m&L3#2K=!pI>0<4gYw5O=n@ja1?7y)YZX521+x+-= zf%xfbZl`3{XOACwexjC5d>d+@jQ=LnUcY`lW9d`$gi+hibF7j%ypEVk%*{;)yYd8K zQ5Xt~e6CIudiRx#c>)M!S^aokmdIn>NfMa8b}c&Q?h8@RoH5DcuTj+hEAy_S-?!E8 zk3MuAamdi+=%aDJr zS_lp3uyI>!eOJfwSoI2-JPc%Ua^?vdO2Y_TyE$Ro4Ctta`VDl zYGep5#7KmrhHYA%(sBMmGB0Cnb!O6^oXnfDQu-FXbpTS&kb1$-`5fK5f9;@#@r5;3 z&WA!baY> z8T%bpr&z|?vwIP6`W$_#uSAkJ3M|l9a|zaLXsbfTCsp9drlji{kcr`}j<22B%@0^ZXgFT-mrdV`gFk5gWC^ z!IRW(3JTjEAGi9flX~#v0dLMy#eu70hexEzdbPO8w(q3cFM51oMNEzH!i&3YzVcSa`_mU43`Yu>o0%+8)=)|~a# z3f(h4e5n0ot!hYCm8m8_zN`3~@`n*s z>6JcDU}IscKZ$NH?ElR3+^jd~85Lv{a_YI;s@*=>A|ts^%$84Of#d71(8}bi2`=|n z^rptt!K$Yie4=?A8j_u=+xz#VqIA>$)&l%38=_>)T>8|_G{3q#=v#8ivi<0LlNSBd zaSav(dBZIWSLgqB)lQ#TpG_OJ9_HF{BqRIl$o8hW_x<4m)!U2Qp4Aqu#SV#`>rU*x z{yZ@51^2_<%YfTIc-DC11RFgYX;L^|SM3|EM4Ic_G3R4vpSv9Uq;*lChJP`??_m7f zBK~&$_a?uCBg~uPnIs*?;!u!^y{%Isc^?eSB=+{Xa(fq}YhDBT6Gl2m&%OC|Bg0hl z@fHR8sxQ|{lIojpxZLDGJ!j&Aq#{IZr{4Wmi?>29mGav9WXxZ0zkqdaV6v*^a@sk7w;17E7& z-YGPlcQ`q8)5J<6{@7-1T}y{41&(f`tDl;FUz=w;B?t0xtSzgrwncwniPLK*YYqj{ z0O&)aUrEYX_$KqGqE>fx@rU57^J_8dv@~aF$^s|94?}|AQ%qbdg4w*@22f^aixLoo z+eb#l!a^tR1KsJm*~MKH;~Y(+ez9cHdAoIPEh)cw@<m)phF5gDW0uGqcFmp>dN^YAEqcXjGwY&|&A&o80_V^WVS z7#lmS6#UYhp6qG-r6De{zCaWHc}Awi;@M6Y<+ZjT7P2kd7R|5Sa6f$B+0OQ;rItta z8;<5o<2mM7w``fFH_Jk+-f@BZ=1+MPew=y7!oXG=?filvuU?JYhhgcG%RL*dcU=7Z z0m9rqLo0v(dYLas+JD`U@MZ7J&A8prQpU?epVJ-n$@*?zcc_R>vq-n*sup+Jrjy5| z%%TwdfHxpkAGw|26PC^Ijm^k{+ynci6dEs?8<=oVJf)sAEo=L@Wm{8k>Zh*8`uiM0 z6&|6#FNje!)zivucYm_3@hdFC0lTquuFmf4vdRJ8xrAGZ9%kbR7pYu54tX)VPAez9 zDYtn^@#MtV-7L|Y1G_zAm!!kGRHUj3H&bMO`0%5?WUhGM-FJtp@_P53#nu$w`lfO4 zd}9~mNv92z)ZXsBB~%og;+0o$LqmooKyab+p!AUsWt@k{91hr@xKj0|Uv1T0n8af$ zdgP7dv9yZ}Z7mMXBiYL$Ln+VY%DjcI_mIif85B3ZcQZ{E$0CAsDUp$M3;{A9T9sb< zOWCzCX)-^yO3A`v3FNZ2d@A&2&-!3$d-RTz=S@|{sAGNf3cn2S_b#q14Ib5yAoNJrC)nX z_kAxCq@kGy#X7zAhQq(}W)jVqKU;ox=3U|n*^M%M@f(~ph|x%33D9#w|$Nm3SiKZTXBIT20rSAu50K&Io=tv zu2H45cIadZ$AJh;Fu&*FZm#|7`I1UYW3})J&Z|GD8FeYI&`kCJnh>0XB%!cP*Qpo| z4UWJQmCv8#vpkI(1u{9H6?;6z+|^(>x*2Spz^d^k8@s8B`m>%YeHPWpSM;GVp73c* zS@v0q@$cn;TjKT+bsk3p&D5Uxwu&gcEBe|ndQPJKO1D4_gTP;nfKjou59l=n12p>X z-Mh$@UV$f1#vw@~eko?hpz`8nBAk$p-8hM~Oq^cSl`YFF{XK^D6$YZ2Rx1YA3is6g zIWcP9{fgoeiNurie<*v)s4Ba*Z4^aCK|!TkkWjii6hs=N8>G9tK}uRcx24O?U5jSVb>GkPz3=$;pS^#m*I+mn>zebNXB_8ooHNVj{cgGP-=C?e()X>5rE74@ z6pY3{;4qcD^w>QSn2bcL{rN~i+rvXSZSNf|4vU*ukg{%`NFAgc7ms*+4gq_WixD6?xNu$T&!fsqwB`g@$3mf)?Z9fTKzv6QjM=$I=x z9)R>N&zzZi+!fk35^9!1c)duf`!;v`anS^*>FA^wyT{n|`^z8{2Z6@9Ze)9&J+W{p zvzZ0jv4ESB-D%^r_2VAo8~$PjoGy-d5pK@w5_1ptRdn;f@r;6IG$eR5>sA>Xo`xiA zM8k|C^(?_(<9h4zW5tKMDs4xnr(;`X0OTZ`D5P_0In4ld%a4@kHc(X9$9HyiEA-^x ztaOFxZ7m1X_5ui{<$HYB#_YX{Wc3Oh zis!=};imG7&m8* zDZpvlLlIS$Ua&iVyZ|3i_y;1XZz0jF0V%#-h@v+G0}LV~Rxp_ab;^wtnem%jYU%$t z184ZY*25bQ{PD2>P*-f7szN%j%Hy)-PdYep53Og?V9?u)c>V2=RaK}I*+CM^Cxj1Q zm7i5s`;R@MwUlQ4(- zydfOLPB;xv{%@;c7C7f;$X~k-mQ)jynX57}NbfvTF**13bs@hTrK#6X^8-?q1~5w^ zt#i;E1-X5pG1$D+>z?VYw8G!%xjynaT2 zlbj6rhB}NlKQk2w^~}{aA2q5|tFcBD?lln&9#-LUJMR+#676U&vt#QQ?unnP^IXTp z?>#5bOb;Zx6ap#)L(qa#rsxPh9ouKDImWDF8{s5qV_1uP7Gx2sCYTndQlCwq4(X_ z-6vmQ;dFN)Tww5&>K)UE6<_y1u6rLM_q9x?8xmzu_QQKXzoN$G=yj&L+tyhPSZrBd z_Hsi*go_4a7XbP3N#G`Mnqkz&*oeG8mkSXlA!Ehj_u_UC#4$|G4B zaw9(cS%@z?QFl=*KicjKh+^A&2{T5yMCKC5R(!6LKL!2?j>Zy+bj6L(cP2{{Fpg2$ zp~Tl=Xj=giFAgl517id5y_@EKpB(FoUnpav(>#1?9M2NLKR3-9G!?f;mH)n zU9qe`ydqwcPV2Sdw>Co0BPL>=RZ(iGk!PduPKLo z`B3tP+6z`540`*T*4^V&!mFwZ(atM>>mjFVj9HD0nj$?0a(kXlt=E9_%Mc{WRA5Qm zi2X$Y_yZd&oohzjcJhz{a4lw;t32PVJz~u`0Y>{xV?1I#9XAE<|;W=uH48&&0M25krG81RB7$~ z{n91f6HorL2)$qtAw8&f@b4L+Z~Wz+HQJ=1ho8a6@Wglx!}b(^8BQrE!fnes?QVy-gyGcqzBxyC4x`bj9Rd*l^A1`JfCn{y7FfM)oo zqKU%is3HTzRM~4=3HI=wGZ(|A!DUkauK5M|omm28PK}B=k7s25#hsnhi&p9P#2j@L zdq0n=6s*p1I=VV{{%2?2AW#=m-~+c3)a$8kb8aY%>&U=A|M7^S;o+V0%FPE);|uY1 zCP?lkfck9ntY${<`#(q1193DFh+4LONFrTf;~>1`XIdJ%kJ79Amx0GNG(jNZjJ_RW zA2bHWxtaakIfnHT)}+x{%$XHz?0fL6aL>w5=mF>Q=!vHj8O;V!k|MoJQhd3E`SZg5 zk9mDM%>GNaO_sc%%6jfmoUUC>iv}>MM71sN^nI8t)mv6%xE`co_}oqC9$eg8#xiNG zLG{mTPOKYc8E@`;iu~6A|Icd<(@22Vq@MqgvIfo}cug$n?Vxi2&wb6_2-2oB?~1Pq zYGz+MgHFBt$HiYDT>Kbt@uA95ENZIm)*g|QxMY7u(a~5RU$f`1K+Y&fipA?87}2afi3s14M|wrB7E`E15$)VlUlt`5S0WWx z(CW@eP1{vj+;-d^)lhedIyeD;L(UPd)SY>%{6r8#qqq@PCv}}LG8}|EslB=ut}C^t zh>c5V-z0$76YfG;ppzSO9T8V`|M_Hq^p(_(VytOuL7a&OnS|cRg>BaR(bH-z@vQ9k zTf8>!pl{#e^O%4+)mDfO-5@$%-#Lt9xU6ygAl23M#(@0b)6%Zysp790ZCOR45gBpb z?0>%cOQD3<;0$SvqVy!LN@2-t2aREPMiq)r(7f)cU!9*4qv}KzCDIbQz!6$||V zs3@QjCA!zls0}siQl?n+snx)7A|^ib$o_rHb6HoK+e}(=Pcks|A|A=6yzJ{l4Exsh zLA3F_MJ$2idnmS$0wX$M{v;SYx4w%}i{+FkSbftM!|#s7UYv10h-3F||VN>ZBnl$}} zd1L;cs50e+F-cMS`q`R`GU-6h-%HqDS~MFA2m;%?cz~<+!d!X#jCi+;VRg<`Ab~ZK zwUvx5S10n$Gp)0`9<{ewr)Q)S&DPm|C3ef&PViEIHjeSZ*SQYREz~$UCmc-#{Umf! z?hpX+67yE-4}Tj35;f#M&{PH&m&q)3B~lqu!Jo#Lf67+WDy)!$;Cor1mn5>k;;|{B zUUkqnhhcm&AEJ~yw*4@tcJkZ}dwj6j$_O-k`6e1RQ-w0VPPZVX1gYR75N;N?Gr9nI^A#d*2H}8)_kZWjIp09u%$rA=gb!%ernpWO9$$Q9&P$&4 zB-tAD8&AAK%$oqRPJ>dGpK;9phQ>ej5C<(pRNz(UG0@%ftaUrq1{LyRJ{nuWddn`g z`T7%DcHzzi+Gk@YfA7&B=^KG8*i=ch(VCVf;uZyCwEn<;YI^4A)8Ias&(gJw#x--mD<_IK`E3}9C5H}t4z=>d`@yf)Gd31fSaNc5;_yX<>9`a3*b`@Q1Er-$At#imL4_u^;c(ex25R2>Gnf&vbZ%<0ic$b5GS-k| z>q&H~#s;l3B4GIg)xS-mS@$exrD8yeU_l!~t%mrS$BzbcV~q^{Xz@LZ0>(A7!-cMq z=LkrFD3n}0Q5yb11!RX8Tc=vTqggH*B1Gp}Wly__`=>V8m0I26Cpf6Yt-yN-a4&H%I>rSg|=j`9U&@p{8mJ_}Y z0BJ4-(4HTnEbccZki&1gcn>gLsY3*zRzh+el9H8;X}Jkmsjsiza042Ru0)m=CgSn8 zjl7^gI1ish$X#*4_4H~@KY=6ip+vq>b6CUyPITI3oxv$?oef;lwT=4?c+4Ka!)Y@~ zK}RRM*yUdE@KoP#;s4<0=7?yW0!HyWJ9iBYLZilO<$a_oK-00Dty~{V{0iD7S^1I9 zWrj7*jDgek>)7?$KFvD5e(?Op+=p358Z!U3l7_S3$I1A|ypCD-! zQPXgk=J*SU4fy}-fBtzyc+m{TXm+_Mv4sGH2PIvzI$Rj;N^y1{Tbw7c(Mb$%tm0l< z#KsreoF6aXMuz#`-GO6f^6SPnEtUr8J7bI!3kuMXfR>aXmh2sq&+1gJ-XtJ=(Am@i zN;Q)0(b1)Vq_lXy0;GFBI7IKXMm!AvlH4=hvu;S=+?}87|HE2({j6`j7UiBvAgp^T zgjaOo{|E`d*~gx7si|7K=Rjl?-~~}GV5ji|49bZK$OSgql2R=T62LGKiI0yLB?kN< zRO@^X6?DPHr6lxDdok_fVG#{L!(arSpBXbP+JJ)&*Qh0Fn5>?UU#TtWgUBLd2;*ie%CnT0L22sRfNOh)bfRaK z(<7e;$Syxr+~RfE&B5JzLs6N0^E*9!>8a@G!;<*Fe`f*|zCv%3kX;Y2KZ$JsItPPc z1PIA3E_xnL+apz43^%lRDj(bA*tS0ba;r3BSI~i^iA`EutN?VZVL*H;DyH_&h~22B zlgy@~)d&yI9?L%d)nF_gbNAyV0CO_YOYupq9x5J8v{EJejk zA1Z+!$M^MVLb+kF|-X&QF+ISah;ki{HEYClP`?#agMd^!Hze0Qc%h0#zg$YQ&R1oLy73aBP670otl*%B<2?xuYU z>ZVGKRF6uY;{@vey&R`;ZPJ1-LbQ%%ZbLmG~x;uP4)YBw*^ zra$uBA?|l2SRzD-2S}(9qK$txh>pXk_8GwzQ4ajof&_*y;9MIo+TWtich9myViFTO zf9SrQzL`}%-{)~@qB^J;mH5laHSvxa5X=v31wj`>M0{boiDLFPGN1qP3gLu zdQWw+R(bM=g8D4j+b6VFyA_`mEQ`{ z$xhlEPcMm?)lQdMYWmIP98p)nA>(Zdg*+skw5j>giAC#~-o^UHrUS4Q!exUP%y4Hn z#hmGHF;W+oEca3-CZ+b+*{lbd(=}YYCu=H_m%4kA0Ps7y`SB6VsW=&)y96o-g1YaW z+ry2tf*#E&WtcfkUpH-#KucSV$(up;d^f5-4fIlZc?qj{?ung+p01oVdqTeyEDeG$ zykvyjGCN-|>d`75M;c+Eo|Dfa5;ue@eI*RM&nH(K>i2$NJy-kouoymNKE?~ie&puuOx_@$q$?j5H#EB%F?Dnwq9A@(EZH(#a-q%0msB(1D z*TqTNP**OOx|(KEN7As+XBo7CSIzMQZgX2|G&rO+{g6dG@|ck$+iHlXrSZa!8gh^* z#9q*jKDcN@f0{JShebi8mq4a6Z>i&?pU<9gV(@}LCCq|-lt*c;02w;%PU)+@4{q<2 z58fb9T25|vp2D(={FC*ZK)GxqQ@bj6%__z{>_{+34qDD{Y0iB#Kg>&1m-IcTkrJ6e zMNfz~ojgZeTHc7+dgDceRll4^OBS_@BNIo>o=UZ9`NnbZ>{dM z6_=*Kzi`cL?tA#3gDGu?`x>k+@FIMW$}Da#KWrJBT=-=azRktECbiDt3eP92Hk?mZ9To@s1{*-4bSA%S(zL`6} zoPf9n4a7chcx^)XZ6&gxa*y*+mJDjJ+GQ^H;Yj;`@Hd9hNQE?<>G;P!)zwcj_iU6C1*b& ze;#RF5vd(9d(f&BytzI3oBm-b)WD&D#x+iMZ&NsQJECS*ZF_eLJ79H+>#CTt)(Z1g z!KVzLnf+=WT6Dx%vKg`^_8y2PCHXZ)$&@sd{wY| zBJj95c~M6G$!(LMsD&97GJ#TCPuI6bmDhM>`{W0LaxrC=`6eF4GjXv+kcxD)aL;3y z8g60&x=(1)<8>ocj__jH7b-h^J98>V_GCP)YL%Y6OV<=fN>%aEa zUNI|-p4sQH;3f>MP5kz@grlcX(pKKxTK)cjjhCTwBk;+hl^vC}Q^CMkgaFd1DVVKM zl|j@L*OAr}o_D*59;w2qv$Vm=eL$Rh`$vm(a^+{A*KxD=Ccc*L;WnBDmuEb#hRg5} z@BJx(y|d;9z%FOIIDUzbrwmN(XyqTZC4CWCuub(1r`0t!g$&mUF#HF_yk&47cYHfE z$^f%Nvwv*wHvSjNM@1O}iuzI}m7%vS*u1o?>WcRznHPIeymK;A#>T3AG*wCOF`5Pm zin$H>T-e_`qoxJ5?Povac2-Yz%NhL%s0xeQ+kaIgo5`5p2j`@_MPFPzQZ7>K-uoj4 zg5K1S2v%F}Kgam_R|i@~bZzO?PDfl|D6h=XSkXl(y9YjR0EW>=ec+S&m zV>xf{8(O6>>SN00t{5Gyp`Jz0bHC||2u;c5xm2uem7Yr!{PBEL;bi5m8S)&cV6i3k zXXx=?*2XWNs|kz=?W2EAyPlg`LB0yr-}4BcHP|)%0mt{`CbP0=t8dVF|CJLX`=A{) zA)2>f4P`yDM8D`itxuuT7}%Cv2BU7J*r8xU-DYpq&`Y~cJiG~Am~ZD zyOs_(3qoWl;gzO=wK!j1iBFuyRHf=374qS9ItxEMa;T(n(rM!o`@c49x*hK3?aUUU zZpG2J1@Hm@HruWUkRH?whpzJbpT`Av#%f2wPN-P9hMkK&Z-YM zoH%F1q)YCPVS|=yM~+e1jSU60HI+TqWO3;|@1Abn@$hR@torOxS@VaHWyAIJ;f_hBEhpTw&7pY+pIfK22eA8i-0B&1`yCs=mf1Ib?C4fFeF zq9`aJk#AmlEku|_KPsy+;oQm1@HvO&U~A?y?;xTo0KdM3f@uY66Ik-XaB#It(Y}nq z!Cm2v+NgE&vygoZfc(DWHyu5NL6j8#36J}?&mopgZ6G~y&5zJ1yMEOLyyyN-P~taK zZ(=1o$aM;3mf-_#*-0-}E+oOo6noPzooVhp_;fSg$*_Sgru8Ua7CDw^{gu6X9LISh zT|vP@I;=CJ{5nSrY6{lY)W`*@>JIpC5n!A#9EQh9f4|1GNGh{uTInrvo z_j`{DxnFf|ugHx#L6;_n&yE~Q4Yo4G1ZF)kY0(~AnsE(hRHG^I@|1!NL?FVug99TC zEh{EGhAJO%^(~9+&P}yiMwO2+2t;Y^S?NfxgPf}>et8RHJS6d#iLs~8o#TizB>i;D zenDbw9r_`|Cz0Qr2@;E|9GMcS{=#f=SOH{O!hki{hlQ#=?-4Msd-U9NTl|Y5uamSz z$HYk)NQ<(|{jiBWQ@K6ppS5i6^Sz>6*IuWCQy!0)b#MR_CVF zH>ePE%FKx&a=MEXA)=L;q&x3Vl;(B)>f-+-seeC%iTIjmFQeJDj4jWCO_t>=#N>@w zEqi0<)|{hRzGNEB#LA=cI{p;zBs*@`FEb{AA zSu@Sq0cEmlepL#5NatUDxk5gtpm=o^-TjE2npq7y8#7Fz!h5vN-?z|8ZHW2fxp7-s zGU|jTlFI}C!n?(Jk*YaM)teM=K*~}wLzMAVY?GUsXl}*_;3My#B^M_|BUy)}nZP+T zlwYFu=kt^s{1OxxxJ;M2*MaNfA61z+MbwkO($3Gz8;5fViPX7jrEhBo@}aLYekF zqn2jt&9%9iC1^0BCgE=^1yi^2&In_d9{s1jFOTAo7My(OZy-&oW)FpCrN#5VDsvsA zeX9W)h8qW2dXTMH%?uTJK?fZ{P;ISBk#f7c6bTmiI5WMgu#4kXOLiJ?khZhn^Hh;8 znf*j%WOH@yNpQ`zN{HcpVc;y{8tcD0>2h3v#&hW?h!^#zls$uP`=Hw%1CnzHEL(`z z8q{9oWb~mL!CSdwhl<2dKHp%ezC{nk{0Z8r@u`%&H)j0DcLC`#u*Y}q*6o>~3|q9a z?rEZZW?)!Q=3+48UxGfjK041i%?A;9k3Zd+X8sXWvxS2AS{AjlpufPzcH*?qGCcFm z8U+RGYQKyJW5K;ykdGM_xlk9wy`clLA7BDJ3tpkxwc=wQhT<_o5B z*r;G^qPQ{pR7=pH17tyxao*iqi!XtA2_Olf;w#-Ox^t4pW)CsREED%<%Y&R{?rg~- zwzTrsE-iLyQ{ay#@{nX{#SjUa^fjU+`yXrfG_V9&0V0?}Z+Z;L-c=~xux99%UE>6j zoe9Gc0E@)HX%s7=B-w_J1%RhJfp>DZ?X8bKqL*1FZP(-xZF#4pfeu%9k6{*d?@-$)x&|90~E*tseS5 zxRXj{O9NV^qHCx<#97 zOf)U&UGj?w%^U}Ivf%;LL-obH;hsbe+S>YWF4@ySX(jXIfVi;#(#%J&#GXldw}!dD2;3vKAH} zgT3Na=P!|3Q78>~Eoa4An;f9bkB-aJ8xWkdPe-a`Qedh~q_%b}h!D!StTmerPKL`B zEbXRZ0qE|%4RHWDbtP@!6PC3}TDmFwn8)r`>s|{55rm{?`2n4N&f*^6djvOY8eLg0 zN!`;E`8-kDy>#>OPOG=`&)saguww=yI-+SP8g)(zuO=+vj;6_xpxofnnZ?DL97JzV z4I>D^x^EK!`~xtlDR)XTc*O*J%Ej*z#<+EeAa;&{wBUdD;q?F7hf@VXnyY^{!ER!z z+m}>3x7}Q$n90M^WdAtLx0r5sBd20T84CpFE!m%|b^Re3z72O8T%j0qMn}H0wL6Vd zzga5Ma`O&;6Ndfktw0;9$jhM>3}nLxcT_?JO%&Esa}4vJhRZBD2|WSrVPGC>$$?}7 z?4kB@?_GFQUw`R|2rB6fk?kj!OB9jjOn!K-$#S-l{;Ld%Y#ua82CRMY4^~4;p+>`t zRYrb=cs9WUe|G*)f6L4=Jraz!wNR~y_8mMMon{V8mCsv^8N@B$?@q6AAQQYQ4#}vj!oTeYgTt%fbPevYl5IcgIqFGu~fVcm^ za3*q9O0c;dbfg&;q$xSrV|db>0-A)NY#v6$OJMM`9{9iNvpG#-5hpC?MCQLi#$iR7 zg-Mbe2#N>b?bI7>B__{=X08Fp{}xlR2ybuMyLSh6Ass-$q z1>?a}bnafDBLtW^m|ug-3UeVuCuP3}ao(E%D3hzxS+me>AwkjIl?fIfLK9@vRqk zU~xI+zQh-t{eT65Ab+4x!vHze*mYP%l-J>gF9{o zwr~PYU($)YKe2}ewY^AfC7(+HcUL==<&_Tx%sU>TL9;tk2YLmB2JIxZ8?jb1XM{ux z&=_UH#JFdF$sG|)?nDzTIc_5EkdEtOs(X5NYv$V zLAGYIt>2#at*}#d2-HZ5)(M8tZn8R|Lf=bqd`+w9{VBW;Z?&$v#aJ@j<1k+#AT8{>Zc@EoW zNS`&jydSi~HQtz`UVG5j*XLr~<$yr^BU0;6UMzHXcAu=s3Xc9(8=V7+DKM&}D}tak zt??Ss7zjis$OW(rn9_=8G?=Ke3V#Z=KxJ|9cExDm?#I{|8`Adpv$hH43e&It@7|mC zB6_0W)e=xmNB?>Jr{4%j5W1)o-M{%_Zp>5y@ETz3c~J-wk~Wwkc?{H7#|tR-CJT_a zj^7?`&6OcHrtN+l+@H6D8Ioe*eE{rB9gjeKK;VFRuGuI(vEV=QU z0-~Jj%Cdp`{Up$UKmuKFFx0#6qDmDG`=Pi8472JD=B-=hCxBFqsD}U2S2u zmIWpUKEL}|SXjiQB{KoM?s2%li}>?NM3mL}?qQSm`3oKT+dv>>UfhElDfG1aNgB&8 zZEpUkzn!~GH*b_$QaKUS^4{xuf%FjhxH+atxjzZ%;_|ZGsFTxGpm$(k-OG-}sk)jV zbth%|U~Sf0(Sgl=-Ba13Rx}(h&RW9T=Q5pfbzY6M-16k}KZ^fBK0dqc%YF@L$b2)C zC3ZG_uY6w5UuAv$yhis2*?aF3L!#N=aS>)KsoqPJQ~AFPREU~kvjoh>9>uIe(~A4k zFCYa-oHoGa=R zNfF`LpSMMpXyl!$q;;BGKXbY?uYRSNT>iO6!v-U5Z14AXpy5>?9)|^JJIWUg(>7=8b%rETpIE$QNSoEdNJ2FK@}HJvUA}%w#K; z8V~FqtM{ZdfI62)ohqOs&08JPLc@cEf!9at*lf6x30s_7}oL0Z( z^EM|p68VtfVA#Ss7>YsTt~_Fv*v6ozWo)s_97(|ucIqMJrFBcCs57uXzG(SWYAQfiTFZIN>mhlIk&`OmaGWoLWQ&4 zzef)3_NyDl>QMjEVS8(S zHw67(P$V~u`K9b4D2xrP+xhpyv#ZT=$ev zA|(Z)hkv4@>=@iDpBm6VxVWY&j^d^H&OTv0M84tnSj9W==0c$s6^&MquL10`79{VY zpYM5jlkfa=7D4Pig2VMs;$UhG2HZgXA{yjmd0b>|XxItZRm@JySb>ow-Grk$ojt=* zFsS9m%4Pa!qXzCwm8poGodm)t{_Rx9U3sLrE#L3XJG&?tUZWgZk2oBBM8T5S^7&@? zR)OPbF5OaWcnjJx4z}W_+p?gCAwJ*!{#c?Vd}Q$U`>!wOH1qTh2dNPh&4Ln{?8G^2 zJ*LqI8+C44ZqX@o&*1iHyo2@w_D{%blq3spjozjZ5i{F-5ClRjJ$Mr`m&Yj{kE2QC z#uLHoj%(`IF+ZAig%mlutm`pQXz{x$?SrIf!DJUlWS3g@m z%_~VT|MW>wL+Gl~d&ZF;n;GBE;l#5XbN|7FEJPygY74f&ix<2)r^lsw%fHZ}nR)dg z?3~O%Gj6Z_;%QIS>i|^D>Y!ye4+ijSM1#7{YhI-X?UD6}^)Ym{-U}!dzzv#ZXQ-T{ z<+S+e9IWV=bDqLu(1zODpA6iqPyhCCd{d3KqA$_h$mI$YL-!Kj8a@TTW&Jk%w_-O9 zR&mYIC8=?+1l}cLL9+X#Nb_i~^U+0}>e6A@*R%1961d6tfr1j<-ZhGb`CdXwRBW8I z?*ZYp_z{B^FHj1~z5muCC;e*wTj1j8%q7#1@2X_)7?&C$Y@kk7E&WsohD43jQpuo= zci1o8H$&n3T=T$ z|5!Zr?_Z@zq#if;P6zWCNMKZY!uc@;UDEwCir2x5gZY+Vc-ytpUPo3QE0gyTOCK2a ze>?SEmvONmmiA4|(U3&fPOm+<`1nEdz|+9UP;8{d%sc5J+chPNngk!U#s>4M6zpq~ z{E%vUVKGlI)iVn%n7dQ;Y*u*g`(Srt)(y`=I_bLAFFdiB6#l_Tda{#g>N-vp%Qt z+wPIM{c5(V8x6X5=Q?@juSdj$v-+AS&ZjSIig&ulLVg6*nyi@?q}4FO<$0YozyIwz zyWl%Lwr}(M`A}+aS4kJ&6T=D`VaCl%-Sx0m9*YG^hqw_cDv+W za!{S-r`;{;doxx{nD_L!RF3)$5?d*&D5E#^Zf#V^PUP{>fQF0i$7LW_=OmeHiqLT0 zUtDSzwXt^;DNz1sV|@s>yU6^EE}Fi;Z@bb(@8ahA+c0$f2VWDjN=X|3nB>5{<5FSQ zomNU}#=9ZSXs@;!<^(3Iur8-W#5EFLeoC})%iH5SCR0Ob^nU7!E(3`xqHNmmu7Z-U z$Non(UMD!mCntws_>sx(eC|ZL5^mBZM<)=Oy(GpAMbXtQtu6;wDFS8Z>IiROh-aeB zv+2%5yV5VRbI3la+4wUY;sC^}A>$8V;>UsComUUlMh(jzPhCC|My~}d}lA%YuC6Et!BbvYC zI$F=kQaEOV7`hC1c-NC`uB{-g{S!nAyedT09tFm49nADFR0vOKwAHv3cHoY|u5>BY zCo*FEn#pC!n-1I*uYV<)?Yb)Ksenp4#vTn(}xg(~6r!mg{%k`4Mj<*Sp%K2Y1pv{;Nhx0KPI`Cmg ziw5+5iHhGm71G;w_z9F|yJXA=Xdw z`ckaH3)6*?j)S8Iheks4(J80hU0noPY5V@ej1eDzMbM`9IXT*XY;I~CrpXO(TW<2G zZ`NTg>R#Pl^}oBlGLf27>0Ves=XZB#Uo=KBlbVaiJXUl32=1LMNn|u9k23u)7a;Jt z8;++Ne6^#|S6_!}?$;Y!igm0NsSB7Sk_ZHQSx*YR?wY5qOUT7kH^dXeUK-DGBXH;{ z*60G)FUOHV#(HKBlRc_0T5W z>zAKr_k?Fx$^(6BsWcS>i98>se6^zbXaOOjCNWr677_r&6{dV?WEWmF)P?x>=ht-| zd^n$RU8%E3iusAbqtP7|^Y6 zdtt?+?R9k!yd~^BlA#!@rG$=zVwKY_Mbnz?Jd-yl=FuoB>~ML^BO~yqqrq3eF+{(o zN0qOSrfq4fb-RLS;b0VR1v=lo98-ojU;Qy#(jDxI-p*PU0bDRE8!f4Rme1CMh4mTE zi=*+Wv^bq_^zkuoSYy6^_{C~Lm$f<8p?!Pd9RK=Nx|Y9!ZX%f0=Tc!j{Rk3iKaCxU z``d1;_uwa*yC#u<*!vINUFR>!S&CjFE$SL)93`YD$MPtXlk0ahN!8?~^4pTp5XLz9 z|JK)cSN)q+gO~aOcpi_T67iyQ!~geopijv5RpoEeaDvE1Pl%U>_vqQ6W1;hufd8=5 z_0V}uA=%gBXE8d3A0(`p38oVDk0ZXMpk80Mp?Gte7m_RmoiDVVv|(L)YUz=ny;WWq zH`=A5(u$ZPf6PT(^vCqQ-b%TjDu(?c_9_Z;S&1g-85Jwd$t)rZNGB%ZikTYjaat^YkdIZgoL%94-+hm*E+>rjqnhWrC}>+I#jc?TpP`Mk1v znpoJ|tn$F|KV`cXEp>OiQCmmHr#{Ka1yi~&$G-z77op4o%x~FBUcjnjqjgT|VK(Xy zamqi8#q-Wz|6Opcjn7JF*soqa>lTnEDojr>R~iDs&Jy>uQoCI37CTDY-1v9Q$v%PfU z6S~{R;u{LAz`_eh+>k#O*qnUi=coBY`^&d^PWhwJDlDnX_gK_M)p_IFzs`v5RfzPe z19)T?kXtsZU)UUfq>7jyZ1ImEaY<0}2NC9Qoi+T67usX6zXmuz_1ZfhX?i9E1*zG6 z5)|O=%8U?1A|FM~kdIBB=CF5G4d^~5@wP2XJeJVeIWP+U-lkfGe=<`NhHI|;4e2Off9&m=KHt3b`yypPCRr{bTn zdW;hLQ{jHyI_YQHeXjycp9?c8U>fBuv+cEKif1N00h;E+0mW;Qb@hISRKoFbl~122 zh_2ag^=~^g3qZc|mJ*6raV`oH0q5uFc6kaGSsE6k?4wTCKO}yQ+o}n-Y8I%uMqtO& zlpSS%xTud^`&b%JFMkqJw(h})z97?H$xhTvwJn{`N+fEaq3| zO0c$$3ax{M1%|sMtH+7x!-xgh?p%(m+Q#B0Cg(HRzUp7GJ=YI>2W%?imVo6+ZEpGk zH-vS>`~;`87~r7V*$d@gru$Z}@;@DDK`S7cA7q6%udJKL@w5|49{ zZcg+s>eO2&$5G{jA06yQwj`EHg_#~i;E-@|-KrDb*l`l;<~=?vt@t1-D5@FO^T0q{I^p~D?7SmI zFZWklA@VDeb+d3zFlj8Pqw8FbRf~wXikrdwU4l9LiARe0UgO?4CVcG)hjVMv$^wzX2yR6hXD~lXRZy%-}^^-nx`62)7?4qM-o^_%=Nlz$URTdw;zl@#p>LV4;8-DQ-=R zKIU^Bc{~FTFMh9w+}yP;rl+BLLF7}; z$<=Szs|sUK&4!8I1~z`#s`l>f?F~xRnxCg@FD}@!p716*O6%lPP~ZE@>Qy~ zZE3k`hQIvdIcYi{Mfv992o|M(4-X=QWPB|iFZ5_=u8bZeXQZE9|JuXs&I}F-mGZ(f z;(GBv3?Nz7th6-9VeZDcc1g6)fI^rk`m}B_Pw)z>XqE*n3BS(98Wh&QjI0;Gyzt0P zzbX@*7WtCz)B2GC`!y9=J)Uz6YQCk|f=nD2X<~qU0BU)+Bo-ftlnz}mK@tzG!bLOl z2>Vyq=_p9%-jUrQtQck9GYT$s!Hr#aAg!NrWv}fToE-1Y7!a>GRV3P_H@w)-ZlO8A z#yP!cf^WR7U`PMLTMR)$Qg@sARr<*{O$XL;_?5Ge@XT3Q93*#9?pt`H#ZD>_u2UMn zLL-sy!umg21QH1_7``Y|%xJsQFogG;>~#vYBzQJ$(|-CaLO8a1o8$;1r{chQ(b&Lb zvWNtR(+FkHA}!8@CnsEQdHDNl3L7co@XgILpI(xwmKl%{5wS(Ss2b+0;dkR7MJAjq zk+Z(uk$76YcS8zbg|7^(8>@}JUv-olk1MDn=XzV*Jqc7?cH?;s;b&<1o#T%ob8x1~ z{G7eHm+CsNUdip1$&NDq6Z=hgIU!Ex9b*G&1hXif?r6vIlrjx7SHb#}d-~V8Y5xgH z&+Lobl-K1Q;Eo-n!_(ho;@jazSp-N#_300gHdVzvl$h84iACd>vZ0{ zw2G-cgLi9_aPc{aL7Kt6ogu8Yr4?+#AIly_nFbu%k7~+iG(w4Gf((~akze7#T9H9K z0oH+mBFSpNr(F(0@VCe-&em&`w?|z~HVq4zuXgGCZTQ%bb)(MfejoUu4@ylohtd{mWY4kd+kJU*kXLmUYA+;= z&({CNgY8Z~jR9~)td_1zK|E(lVPEOK(8FbxwJ9Efr+gVn+nL67&fUX)?)mdLc6&Te z(D9#uOF+vQ!vjM@S)KN#gAO<>Tf>u~Hb-;s#j<6qEqW&`c|pk(pgnk+Tk5$WYR`0# z$?f8LB}K&Tb`yLqebwDm=;pi60V)T7`zSTM<~@PW)lS0t#Ach{p9FFG3)BCUmU@m!CGWMjN>I6IPE0XPnsGRP zz~sB1w`?efkprgta|`YB*_hiVmxOM1%uL8j9w&XOs9(bR z?z=Tf&yCITpFkaaC6t_cx54*vDbA*y;b0kvQBSC!QGfxztkrC+nEXW5cAYHnQGM$j zsj<_PT9PhE5gOdzykC|s(%s$NY#u&Q=6HKluHi zD46;~ZS$WH2pWM~=y*)RZNugjF6UqKe^G@LGUdc5-_9i`{oo>=Vms$ZqD<@%TK*j5s4+-l4LpE0_@|tYlLS-c`F6Jcrt{1m{qT$tr+AS=KOi@zN{g zkFe~;E-vyv#cwWJ_#h3&|7w(ZK{0@)Z^Y=6ki)@8 zO6!4VO)X9GA6& z$R0j|3yWX>dMy`?!B*Vi`C8@*E(7kkwwNp_`gOdlo7>WF*lK$=rr-9~$nRV3mWBJp z`t1vkd92hl<3#hwjJ?_CVazAvAFEDxOYPTtJ545e)cI|7t-x)t+;+z#fEOxncnNA{ z#rW$f#oXH32RYJ-9Jr-?%SY&&qaV3O>gNU!0kSzSl;_CbB5CL0@9qn#ZK5F)oyW)A zs4yj$_sZWYY$L0kn@vKjcd5(`+{~9Bop1JKW8)^-W>vN_#+r{zW`z5M74`tcJtx&~h%eif zAa>=P7^mfts?>1v1>k$Kb(7Fd?^q~7X@KiwleZF&vAjj!-Peq|WBeonBEYD+;YOn@ zO7XlJU*h!gB`r?alh*6}G!yo=?6%a0C5Ze<{(4Eo#bu2CbUAU+^&FG)cEtL|_C0^e zu@VPju^qC6Tt1OQ#1^3&oN95i^CG0XJTzKG?6mHvncHdg=ySnt6f#tK#DqOlBUOs#F zj9{#eJbq_PXR*jHxTA;2&NhEqvHcZ8%;J`R3gpA*HX3%Uktr@hreh7IM3TQI+u7xQJp58gCj%9{yXmk$6E!W{(MnhStFNetKi%ml z`+Y2d0qfEjYpsuJkH_h$D_W1Y@w}LOJRU_#6~XxcP1ltP+3}X3y8gZgV&)QD?*wkL z;)Bd(XuCZQYk%MYzx#uv6LZ3D#tr3)VRB)&-%v$v2K}g?`r0pQj9ZJ(2`!G-;SS_t zwkDYQ?Fo%LH=Ip|L@<4zeXr!u-o1GK9HcbfH!+u>ne8?0MFUpV?rdD5NhL+4B9BHV zKo;FWpYxpcm|vN6g$V3X=*On1OkEtw*+tNAwalY!1Vf{IBb*@nuB2$lKa;pcMkxrN2@tyv>#MUSht%hm>$DOVz>?!DP(CayJOqc&D0q3RHY>&$i#yofNW!zjsTg;V|26sIJzK@)cf$BPkn3{sF5Z&PU zI<{F6GYukD&)P=~c^YO8*CM_WlTbpCj`W73BLTtV%g-8hh5hyAxSg^+?7tMEzbfPqG&t>?< z{wB-KHetVg!R}~rc}teaZPe6Lq$&|!o2#59lqG~rckpF(uL#cK!Lba?cN!;cr}mBF z3`Ygszn2#AQTT!nVuD5efNwf(A9~tET7RT`zqqzD|j=y`#FTtxL zd_fk|hMI*OEe#Er^{D+4YAV6)H&1MPy^Re{*Zly@;SEb81nFSC{lWOPg+&OY;)({V z+B%hjq3#awpFx^Wr7B2fGWDKe(fqlrdeOf0RD}caO?V@SM~rv?c!X{uSp9{o`4s1y zzmVp>4hAF+F9JeCA4bJSGH81uJZLB=Qigi>5azyjt*p3hH|%{@Z`J?oRhu6~ z4zS%BVmVw(cZu*+Rps;;+cykKC>Uj%-sE$+-pfFrTbui!&0GGfv)HN}?ePFE^vDRv zOX1R665vE6zRsT8Ht|=h;!s8?Y`F#Ms#H>ycwlFzPZ{NdC`x-h$KxzxM^{^%OBcmm zU`QSo1dZ9tp&h+?UYz*oa%9%qD}vC&ZL!^>@uvrcu(HZ|rs-61*^QyN^Z+x87Z=!E zt7!^gC~%z1SKyYM`o0!h#aLUExiYno*_V!u?)O41R^haIb6i|WugzxeOii| zDq1->V^Cck4=|;?;jFs}Ii0IX@i6z0A#Kv(&Mw9@S56Gbu**2+$}p7VL3Eaz-voAN z9bH*dE$JVAudaxQ^22Vha?Xh40zfFp+LKj+whF*H~hBCK#+ zqylSSxRFz;UUPvC?l4E0u6E3~zh;O*NoJ-?YpDb9N9N&?kkLD%`5xH0$;#xToLY^5 zaq{lL6JDT{korj70zV%Z9UkKwoeTt}t76qoC!>gw;YHc`O-__$dy1tpjCv_e>Sh{L z>iF-}*S0EO@Q!+qFbUmj|4TMDT8yIn`cn}ekf*9Cyr&9xQ@2y%! zRc^kg>QIg=fH@@}Y?$Ae1#86qO)AQV+CbmX%6E}Xv#}w2D?xwf1JzpLKCR9)=~tYB zvJrq9w*FErT59pyRQ>3 zfRo4TD5@YA(;_enJ(txw+eGs?bK$!AA>ugv$2Es8c<%?pv-h0+P$u6FXiH?Y32-f?zkv(<;>H!1`dd zP+Lw4bh#0Efv%P_|3Dwc7XER8OxlT_AZ;#1n{5R~0q6)yfxS5@gkW-p^yPSHKNrq^ zUwV?ZL-pfqj-;dXzM|Oud%XqXXDQ2zmAO@OEK%9NW_79z+0|yQCx64f7{6iPCL_H0 zvy>W*ZKfrCMh%yVZ0em(*ie4%K`mK=pH}59M^I>e@!Lmb4TQ?ec6`C5CFitv$&b+muL?oFPvNQGQ`$pLITC>nnrhb~ z9Vs-x-Mb4eZxcQA;;nGIWQELi?LGZ`zb?ZgE+~lOE6G?;Y6Ys+<$+U^?`&fza)N&Q zr`|-Gwol-u__IpunlrRegQqsfO$sD4b?Dd#D}&1z6&qW}kxRdV20Jg5R|?-$wr9UQ zL%#)q*IwSm^Wek+?$##+96pNi8q;9Q{2RF1L#nd;>B(LBre>}n=MAr^<`w4xmQW8h} zH#n^I{xmN>Xm?n`vtlAjZBHthnmTnR_XaksB6)bPuWML?ZVxD$%DgqxG)qVOdEh6- zxA@-|2nD;{XixYB^rmGV#IvWN;kusl>Ps1SyBSfx#lHms0UC3dRH5~Tk~2)a5v{j9 zg3gAi5(2yU0pPyONCk5>$^8gxw{IGcxdoDADyk|Hb!TTxaEFqAMeOD?GVUVGRkzKF zD=L#LH|K~75L34k2tR@NWtxmxV(=j@(@N4W|}r+P-nr7 z6Q4DM7p?j^faS&7&L%1`dI~*y=3Svp{3QF3YCxMPw3dv8W}+7aQ_|Fj52>ni(Y~a! z4c!BX`~pa5tW7oD8srf?g>k$Q3}NX%uArVoQ4z(j#Ey6(o&cc+*f)r&Tm4a@D^o^9yP4{oLjB@a2zx!OjMRwJmm^VU61rqQiAGF$QUbR?lacz>JF12cFOA34CHk}4 zXThN)r{~yvBIkqnofIBc~OEb zUkblc8X!h@&L0ny18W%aLo+ae>TVLFQ=s8a=%2}&tOQ{5{~IeMDWJ9;`d=VYZ{3jI zn~ADS(iD5)qU#|a+_A$k0+7e8iXS|T(w<R_F>{D7Z)9vq4^3dqeY;NxzXYJ!PAi-;Zi}<*!^`FYojPwE;vONl$q&sxfduOfj=Mvgb+WF3mVWW*3l7^Pstz=)RS!gB!sYC>!~1DPDzroE zx%w<`_;ko9a|)Fgi}sOXQX-;T427EBwe5`;5r71)e>$V8Ixj7xmwiwR4+Kst4q`y% zBNyKn0w^Z_e1|i?X7bjK*Z=J%+S(*9=0GO zg7=O*u&HSqVS5}@W@7PHx;`s$Qj6KQYJE04N7uX0h*UM9sOJfVq25|6i_*4NNf1ch zDZUS2G55UF;$YJ{_c)RV-m7dEc@#!vXhN=duY_l({WysjZ~&LqtfbBKJ6eUqGb)t* zgP4$i&F0a|d%-M1V$=dTRu^q|9f{H%T=pkZhq#ts=w-GV7`81^t4xn|Z(v^)ev|C` z1>5?h^#6rb-oFD2eop3f)Xx~0RL9jk)#sCa<`&fM##{Z9P6S;#{H_~(a-S{UkZqYL z*hoN*a+I1|*b3gQ>~7CZ^za_Dbs|=}!?Aa>V2_DnR)@!u)b$?!`TsA}@wH=Fcu_kO zGT(M($ph?lzqlX{G${t|G*pxG=#vZYyIo>fRyXaAb#`ZIsXh`f*mEHn_<_@y@7D2K;FFn*Q{ z0@_UG&6jsTEx}^9vG=q`+n-5?{Lh>_Iyy?QO)-*xIJRp%*t?o=o6G@Q^nHt+PhhsO zubiVz3_}pkxMF~lI^?MfYsw+9+2Z6gX^OVz13v z1|Ov$4Rs1!3{If$sXNkQPEwTs5MvcBxNJxV$i)cZ}rd z);)+6F6~xb#9et5^pfLj?E!jzTogBH!dkcIg##dygzD-(dwviyP87Ud5px@2vTo}2 z>mjnM2NdbxtC*UzoPiw6*D2}N`jsA{0xo;xW+@S>RSIry^{v+u0VBERc+!HpAOvz+ zC_libg~}bw9Y^g=Xgatim~&Yf^!0__XPot#HXw;)LQr$@2NAMSI=_3${>SPTJz|v_ALgVtJwzSHMM5E#{&KW}5CZw@-)lbON(;){uQ@-{IzzV_K=<%78UK2kn2Ft-3w zG}Cdm>FULXZSxbe<@Z6YWmc2^pW8Bdwgs0a91h73Z|7@Qe*_R-OHJ@feSiP0S<8t} zAA9e6DP}c+-^_vM2m}sYjy7p0#nRK{XFX1y@}N9JYlNLfaGw8s=|ucLRiuHlj^sBr z9PhOlZ`|9Dlcpv+R$i|(Ds+vZidxwKm3^@`Sy0zA)A-l&qCch|h0Ir))2pvO2r1IL z6v<5}2|iLj4CScn$*oE@Fs#v;5h(L0%y_( zpaB=V#uQ~fl#Ad*)(ii+kd7~{y>~f8L9z7FK{zcgsISN-j;Xi-?Nr7I zxyo_q1aZVDZk?g<7!HoDINMp@QH_UwjxZ+ACMSQm^vOrq{fV2qQm9JfLS?uYzqY3(MEoyy4XE=w0YVKy3_XkmXkdme|7P?Bd=L+*9|XU{)B4 zfLmGC*|iJCNNTU6KE@@#r`xcs!zDB=3<3C&e@z7oG?jgOTQdPm>OmTc&mpc?3X=B`VF=~t*4Ea1TyIf1FHU&@5@}Xw z{Lw6j2?;`NPB>Ca@F5uGWDdlMAg2Qmtj6Bq3B9_6>`di)U%{}wsc%nqkB>*z-3W!J zZyf&^^ACkn9Cvf=KDR{yG)G4XpRU0W$@lY-(llx8xP~F|CbevCLbfr+Ho(%TC;h0P zWx>$}u#Z_xb%CI`*j+o%{>q~&dE2Az-w@l~ont(X+MYfObV*-Die|uu){L1Z7x*l= zQ$@`h4V##2DL*gi@%+kkU???!GH zQeBYJ(opSe~SL97nte+KF(O zP?MCr2Vw@lQDeDL=dJmapT&2ze*~T9N@d4B>--MRkdqxx$>8#a^YlCFt}N?)oVk)C z82W{LW!1uEivC*ASUGbOWbiksr}ZvV z{g0H60@DCu2EvBE)ZSwj$1U|cr4}DgsmVqzmR#i~FKa>Em{DT^Y(_f`^^VekRN;yc z#k<~9NY7n?GBX($dhfnU>clOPY#k3dlgYOH0lI1zjC_gN?O*C=ZXfDk@glN+$u)%8 zxQC>oqEdgHu(1NAVLH|Qrl?_7TPk;W^FL4Ma=UgBW2ceS55EhpBN`QLC2$FnRE-AsvCZh~1a!5RCA zJcnVvDat0b{+NJS@OH{EIGegV98=0o7~{(}AI;+_XsMTP+Bz_ZHNUpy`@(MJGpSTu zwBijKB`RuAf_{uBHO8oiF)G6Et&mgor0uPRNiI<{i_J%9&Et?dV5-t?ulWn^*o&eU zRi`{=ymG9HE~01{vm|Kf6}aYr>nqum z()uEHh=K{(6xpCoym!#%=+HV0fNpy`KZ0#e)>ux?IU3IjRFgnD2RHs;|1g^S{UNvF zVoJ`mSXHTcuRvfd-+cfdZM_}>L=t_Q(PU9$4fhi;EhrqhQ-u$LTNhe$Oac7QWxt($ zeNIti#d_ah_=SkbS<_j&eW3>hRPXZe?U;a!*VuMSVj=|QcKmWA1(hUb;x?wL7H*@u z_SeqlD028BY@A$gZ=u=1FGZ!x&{gp$NxQI)>wf7v+?)?tzdu=&fX9O7-PYG8-6G$j zC5S&A04i{te4j|0`s;or88&Y)H8%FUxVR02k*~LYP4EyqXXLlpL7=PGI^VML(He-V z$T)k-#e@YI#|``xUI7Z(z034&P%n53)X6-$>{1;Nh(J?!Iet=G9sXH1w)`{eE=Hjh zE3yID%l;b6Nf8)}{^jA)m_VQ|)P$UqlXI;4`tiP=PrIPc)8a&BILo)4OWatmtZVev z115~-Up{A=rsBF$t%sBw($#vN))!`zv!mQDOc7Fmq6+g6>WJEMLGT4gLMa|SVZ!GU zp_;;VflypWz#v5r4(H{LA`tugzZ%7TZ9N}6Txlz4Wj?KA>p#oNu%TO$uMym2P}dll zO$$c-94!AKBO_x>--LkIk)G3H>_Y()<$Mq{goZXxkPhkf^vwZ_`b}yR@pC}_i;GODLc#>{x!d9~N8wFt_L^bd3;3CBHfEa9jmr z+MXQz_T*@cMJ7Q&d+VDz7h%$w;_3rz|Bpvud-|6mXCPE?18XM_wIt8eCjG$O3HKuF$Pl2V6KGK>A&dB{+-fsPsl81svAl z$O%#uArgge+aGRCSK~)2cI|deXr8PD-vKaZJhu(2yA&=sA%N3sRT1EmK{h{J{%*d@ zdUbARhf#_TdUn__ZnvtSrA6Oy9%iHK0VBgZ&R4H^>k`r1-qrCd&JEGuRsLKRT8dXJ z7?ZK*v@~jXh8|<4tgP%^yxNmuJzHzwrbAI(*c}&HCC7j?%21+0$<_xN28QDtK}o4+#58Xg8b6$xs7 zbjNA!Q_IW@x2uhOTCli?Sdxp48z_Ky$eFLJG+(see$p#&^&r9HLO-oQ5CCKtP+OT& zmKsD)ta?%EmIphNe1iW|@!+Q%0veY9=96#&Ckcc1n6B{w3+3){{x#h*5*~Y0c{T6 z(_xVEC~rN;X|8Iw8A5;@L8gG-R2@tt*1%XRv}GT!rVQA&Zl{--Al6zHwwZ-t+S7##n=y4mW-#>PIA zCYwaHrg!#D0+nk_3b?xRr-FAHy?eLNO77Wo1$EnPC65H~?>KonWqkpmZxDh1bEWh| zqt5TZv;yP6O!=&7aiLP_Xe0Nzq4MAoRQ5al_3du=Sc5K4G1F&cax($aX^Kgj1y{Qk zW2h)tWRG}B8UP~om5l#O9IxZtNs(?yblg)%3FZ6v)Z!TKjt^Soqdqivp)_`N*`TS6 z$oi($-q_3|kRoaPb>@HQa}?%L1SP-|wjy_e&ol#~TidmI4{vcXe^N{p;dk$R0X?U| zQa}oe?Scq5FK+;;BCLUrQ`>ijacq_t&+-TXDq5~Hl9MT>s-3XFb@XlB%lx~65g^F^ z5f^u3Kq@LKK9kC&fx9aL0K3sb^^vaOfOnCBpW)C3s|z`(GHnnRUjRtZ4GuxKXS1)P zrCGk+bT~TGG@PT>pDqiwUl$762s9uEpTB$&QdPwZmjbQ;HY7_KjhdSJ=_0S3P;+&*IR+|#cBU(CqoBAIHL_@co%@Dg znZL?ObhJl)F^)?Y=VAgUL$0w};b{qmnZhb}*+m6XT|Box-4nHt*jT@zlQmEqvU5{r zV>Bs8!1A6FBs!=axj|C<&*!c^!S(&l{}u|LC6#hj>1&gcFJ zD^1aVA|8dk&{Ht489e%H5ve+emd zT;#>*C@Js2T#tTrtt;)F4u~4~3BN75;n#F8-b4BE!tSniwIePs3B^A?UQKlHb`yuK zG3;5-YyOsCax7k6UUwb@Qc6WHxdIgQp-`{=z5D5r>(*G27Y^djXuy9Q>f7B|%?w+= zit6Z)>3Ci`c>9RY`B{(t>gbT#D*TKQuf^C}5^b#qzw#O@)JJOhN=oM_@y{3B4eDG8 zljMe;v5N(h-A`zlIWZevUF**a083Api;jQYGzsq!+iDaagSl}55^3@3Re@TKVg9)ZR$F#4sx zj1CMzM)CA%|3UN)!P(RU`}L`Npy+9CVGAQGe6{4k^9U(W21db0@z7HnvmxoJxa}1} zaBg+g4{(hcto0=s`2BNWZaXO2U%|~FMZy%>cB&z35z^y_u_6=- z@~;PG9pN)UYilN3GcaPnSBS$)5@*(*j66|hiJqnWMIq(JH2kAe*wK%He2EYNEA+|B zt3O|x7l?!Kmd&BTRE2GY>k%zbee~$SRgQl?6XGG+jQQd7M#4=uf!PH-+W5SWU~g)i zSquye3LQ38L5%nhS){-L!swrQyHe|Gef>+m>x%>RIuF>`{Mv9%LG2e^k5gnoY6?=w zc>gWJtWRq8<3H1?S35Ec3=A+k?PwJV_gBjcUOobIOXW0h`=5RC4_2GO3DE!*vKN<^ zEDjsW^x9R*TQ(wl^M2$D=kPjlFyka7Bu$uppa1cZxl>R>O;HLc)kvC~o1^&M%EppD zuQXx_dP}AK>WH9g#`O8ew?E6EQp5dGA>U$RzA)8YJS2DDy#-di2~(V1PEOAG`VvuO zHcU%NO&##BIYwoSl^210D4+Epu6BZpiHO{>u&@A+DFb*M6&1A}L|nVek-A_0^%&%4 zX+8t0E#LdZyY18oQ5Q}85a2Z#?o3slti)PBz{P#`-=^s8ZRcfvZ2kSE_LED*EH)7l z8mNmcYRtlyl9GDx=#e)WzpEZ#q67Bh9|9yI_7%)sbVXm^>#eCuoEy&4rb|JE#$1PNHa`LU&I^8Xse@RfBiJ-*GvK>!LA$98Ax#lOVtX|uGYzs%6yVyo>+7a_eyiNx0H4cN`=0c|q3?Sl7M z(mzdWNXWv?>m|UJtdt?Q3jzYLs37#ZJAb;G(3&D1Y_mPVF=O!IpMxm*%Jy1>$^-%S z6pu?DJVq@VN1D5a>jP;O&~wh?ooPBpnt#shTkpT-NrC1ODki4b`SErU^xP3_L^O-7 z!Qv7UsDEjf4As9TSLCmU#!F0bfD$o#UbzM(*H^CFrK2{xbFaMp{2E(Y#QwD!61yF46gc}wqqOM)CiBwFjJEb{gUzc_9J*{x^3Y?yYAeykF1>xH$+1%#Hi`b~$ic9{$TL*#NWD z)+QUneh;5f>!pba4Lv=56J~2>czF1YFSs_6M+_JrL9+M1B%%JMA?#|qRZPd7DgWjG ze7gl5z~a@-0@l}Jww9F3dIq?I|25@$Hw}HhPt1t{{HGgvOI3`|NkIqx6e*AWOOSZA znXA85)c9Yf7O8ohkK(Dr>Aum$ekYT9nFS&Bj)Me6h#rXZxt(_(GwRgP{OQ@@_4c%j z`_M4#dJjQAj_`RP@%XLqH&MKC(MLlRUvxq~eS(#0)K_U*=0up~RcK94YB+TisN{co z_J!uQ0k-l>)e!y%GHqgbkKI_?DWlsju24mud`ul^fBd@^;7(|}Oz7yr-df6X^^b$o zmf*u+r=AxO2;?P7bB9}^*JQDAFeWKaYBZa1JobS64{n9h($a|%(=ha$O`iPPGqdq+ zN6V>-qInH%?YQp@n(0@U=jLtSo-pQOf|vZ~v-5Si;w4HsP%J>kE$wyp{y+?eIi;le zX#Q}du16NgC{iR`*GHhMI95?*q3xJ3Cv^ z%q$z+_eCkm87q6&>lHAN?=5ZryvfGRA{NWu27L8?1B?>PiR1wA>^a;|Y-B-1o|ToA zPg^k9+0iioe8HP>K`)O+LpOxa2T3sfLc_weRmlFliU-weu{DeQ17=!!x|o1~Kz2?J z?+u&G|FHm*T&` z8X`%{%JN&=Fbx-6!~+uGblKPuITZ)e!E{-3RCsSje*RZ*sm$+>jgB|sCCc~E(DyUv zph3ipTfvOSxn*?sieq;6CUb1JD^R(kwUl7a^R1Al;uA>}zn_HIE8jfoxYQPMVAXsz zIeVpAPDq_2JB)e$LfM9Dcy0fA%b`-SQwv zEM>-ZlL23&6lHM&RF((D3~PQy5E_f z6!)8ik6Vlkq)BrCl6HL65sqn>)i{k>_sXt!2ZYt6V-}pG+&1+-5x0K7p?;bWEJ5S2 zD5QcL;K{UfbYYayGE~vs@1PfZtucHqKLhACCqU?!n5C4Fot~aPA4vz~Ls?OAVWH#q zOCWRksPK=N*_oLV`uh5zl*Qxp0L#eJu2x-a39_>_`j#5U>$Fj|nIG0{pkQg4N10Vv z_!^LlGUj9adBx6W%Y%=Y8;67&Vkrs@4Gj}j4s;DLVnP-JZ;)F~otx7G-I83Ga{Ked z4;&!9ui`L2rKF^k0_D0-!rj-5J8yx6f;j|Y!AHRN@ZbGgu2x&hPHoUZ?r#vdO{Mym zuG`}t7MEIsUM!*%J#Q;^-JQ(hlFAEH?*cePX}+ z-7|8&#LxlOH#z27+IVt+WK2awgzG*bj}{KK?0_uSbSiLc)gqC9_i@hN8)1_LJwIO0 zIz1>gJ2E?Uj^SYBeCb62#U)(Jf-r^UblRDlW8s^+Ykj-mi@Ub_IkBOvWjZ*I6EP90 zl9l@jO?v|VkbiH*52hCt109gWnGowFkMH*6keLE)P2{M-H2KdZg7#GO4Kq$#TuucwLp~eY}fBwzaYU zyR(oVzPn_M3d+irJ&-h+#eP9D;O8d4;dB2*Xhwmm z`+inSAmQT1&)*F}CLYc6PYi>NzM$H}HlwBW?#8gGtwqr6J#LbLy0X>v=-%SP;)LlW zpKEnWd3pKB5oIN%6c@YIjcKRZ;X%RmylSzdIeZbGkNalTWG6JTu>+k)1?98-+vT&M zQ-3#u0h;Mf77btrn%GS^D11<`%@7vCUdlGU3-#a8j!)mi$sg%Z$uVNBT)}4pX4k4} z@2=(9nKaDSyoQSEZgnaqw;!x033>BpiHUhU@Z>T9I#N+Z`MZe^oUfdN9g93JU9|;W zev(yCCgy#M`Xh(^#ZnOtN{Om;{l)~GjuHH?#ChM|n<`obo}%mP!E zlwgDrUMdzRTs0<(rg5;-tP!V`=@wc$x@ldL@wRvag2QU@Zp5@->p(VuJId`t=-XBriAx(RG)QrTG%_h2u*#C zj>xIVR@EdY1I=n@rueABil6ExkTWVq59edUkl3AMu(Yx9mxi1sJEVz!9`(lgNSz9( z@VgybM7{txmV>0hryVlv^jSIkglW<>j@7KP;q`P+QpKUPr=`b&n-fNIe@1T1a=91m zd6AM6@N)IW*IYZr*XfHL#2KOZQ#dlRK2nZlrYRPk z4=2y=XZbi0qLS`Z$Dgmj^6?Ai@%xTyOH+{o2*a#eVtC4%7|!hx$LIq!M3>U55rnIq zYfaZSY`Wg1&%DQwlW0irmv}G3Y<`lk-$tl3qwU#`Ki%p98yR=dwAJV{|9eCv>RF@d z&DB*uFc*W(*=~em29{C>L`FJPPIYKwf(y~n+UPtJF_!02o(FZzl(73w+JC$~$zjlh zn$c5gw<-rLn^eHNO+gHH@B?Vn-&u23_-m;cX*8FMOvYr2!Sv;e} z^~j90yKTr&O|*2g#_y}zM&z|z|5_b1LzkXE7wh=PP?KD1G5{0h-4hDsQBhM&FHE5E;^lYqF_7Ph=>p;^D%jGyjEQPY0h9N zPvvWs(xdsc{4F%gP8xG?JX$Ahg#7tPxaXFdm1(IJ*`xIMSMeHU=iX#zYv;bJJst&l zxGEFM8b*UBCoRUlt$wExp~ownq+iNbw2h-VC}lbYFJ2E156i_inw4&(EO&C4OGFK> zn4rN{1Yjf7Lz;$*LWfraY1^FCzkB;qldZZ6VlRj3C!A1lDT5VcS{KphfVqxk&bnmE zxl!!mMcgx0YiyB5#WXd#bw2)VxC;J-hTm4!nh@h?QT9!ReC&XYe9%s_-{|#2k&kI*?JSxH`NdjplAq(%9h74^EeAM8wHCu) zfIXH{S|uVMM%nayk;_NNu2DxCV`x@T^Qm9s6R(E8e7is1N(u5WH}2;C6mb_dxdkXjUvnh`@cXDD;d^a0m)V=4m<$emmI;44nl?nZigVsnBFJ17K zBZf1@^%fKNEquOfTrPKRy-Nr{Kd@qb-A(gTD)bYS=sJfGSNU4jNYyRO@MdDyvDdQV zpLm?@RKtJZ&A=y0r4^Dq7|vD)Ro6HWo2B!x3zZs9VUUFV5)@=PTKUJjnYcaA|AT^` zUpsWdq4T0k>Ept>WwmFnwaB8mF*@SlTjXh1809B9pRn&S-;qP^%?n7y3TBV5^2x{+ zU>x%~z*0L#)@If%$GmD}EwA#~ntfcj4!zg_={61LP|hjJ2Mmu`Q+Z zjPW#yr|AT6!+lR(N=~bLz|9U3;o;nt7Xt%|$j)VO&h^8X^P`FNI`bdn=D(YP^oTfP zWfYEYAn_F!T?!2kPDaAJXszw9PCxQVR}a}FC#y1fLUYGgt%!+|8u%}Xw1d$PzBfEJ z!d2s{iu|E_eP1}`GM1#61I`oH{&;-5XHsYyL;@rMopHW8c6BJPiN?7tl>gvjz8jrdRayUsDEF+0Jayc2M9cso`Tbk~05@tGL?GCL)y|nD4 zS9%ws!jkcov~ZkMqp09z$j5l1sg(8CB^>aDUw!6>e>(x1zzN8}2A)y1IHK2ngpVQIsK>>7JmUhwsKedp4~!&r_d0_p`a(tU<>gY2ub&qGsRS{KL1Pl@B;c=bAu z=&XKQq?i@m{O^IVa+6?+9|YgRrvh;bn{khF51XNus<3H<>??tzx&&5F*{WKJ=Obm} zzLmN0=tenqCc0KW8zcjLG@j9c47wdtF;0^cHK|YcEA5j*LqmVCUV*qrIiltjy78ey z#|gu$f=clMQGS>TNR|zPKWVA{(a-v3gJpi6`{tH$9%phteG&VkT<xaD~tRd=eRMX8+zU=X$%j;o(xLV&yQSAXAu@^Bpc8mcJJXVhLRMIMom3 z?ZeL!1OC~fh8T!~?Kz2SnMSD3(Y3Vi@>G7EG5$_eog@9b4Tue0ZVk%B7;&s!gu>h5 zZm(b3+8v^V2*flIF>$8g>?8Pwq74~oQSb5Uo5NpK^xN%uufYOMU+^D>c_hVnY6sq~ z8H4?Ko4qA?Ti;_-grw1Wx**Y&uDN}(^IR@HjBTh2zoY8>WEZL}KK$yy^ zjf2mhhx2c;2?3pSIsLkI9V7810ig#B`HU!WLz9ySMtOOI8~^+4 zImsD@W0r)bxgU2mtK9zmnhMN${wa;pJh=j^j(%}B^l(kpyv)Z;!1+lP)WUyyO>S8X z<4BQ7Afq2@DS7zDe3PA(>b0T4Z4Ps1Zy7N!%5^TfL1jaywUB%Lu9iw)Yo!{oVFH?1eZ9FHslCUS-OO&haXi?$6W#nZfh;7S{o3ibp z6^K+T7`+zK)29({wDO)+f8FfclghhTeknNs;+*MYPrpZC;u*XeaW^)Tf=r*ex(_QD z;c0SQR}n}KG}K5fN2r)9X=Ht>ktM<>PL;=eWMVFsB`~9#2t+j|iXeAQj|pmx#s#YO%=Y?7CHX5uM{dwH2r78T$4hD&zEg| zJ-eQXQAkH}!MneuK(2mepo}#wkXv2TbtE0J`gJ?0T1=GlPIf2|VVbtdRMwo!Ko(gs zFAt7<!9c=k1uCYg*{rp5%7VHvOI)rHq>uF~^ zd8rDS8j41PUoMe}9xl&5$dn58Yfl_+e0nJBnl(a+zy7^pp5bhy7+1sWD3YnT7hxDq z33h*+nFJ*0N{qnyf0y94!+2z%(o@#IOxeBhq94LPpbM2U@bzN3*EO?6ZDp-@go&h`e`oJ&j8G!oyE z{@IhnLssHvk|D}UHp`4anX)q z|34-Hvi9XhPRzD3RfZ>UNw?BwW&ZPngInrqw8#QbcU^1i-a#hdJ{)Ya;;yVFbz@;h z)Qw^#t(fde9w?F!PvO);^~$Ynww4fzgQeEXg}Dk9~hQ;A@dr;g(3x zar~~X^tq90?Drj>8H;IP?C-&QKMI&92)NA$&?7rXmzuoO75(Ah{@b=dAYckx#17G3 zS0wmd9UrkAVeAjoO9-anzaduT(H-Ox+0z%;KVUaq{wO3XgP|Z)5$yObVl(ajn|%ap z*3Xvwl26%GYIM37)s0EjGlIFZavOOS%+@z?=JnL~j4Y%^c3P^!{sS^9ulS1eaXr@_)T2Uz$-1jQV(%4EKi$jkL~g~i6X8G`jQBYIPhDpo5B2u{araib zZQSZ2`^~kK2{+-|DN&Lo%V36)?1t=NtR>AYSt4Z5zKkW?(2U`_ZVH*Pjj=D;#x{yU zWcZ!A_o92hzdL{MFdxSIbLO1$e!gDs_vbS>-TD&DpP3=oL@qbApa(=ns1_+}acFL4 zP4^1kJ%iBFQ05XFZOftLiOpq38_F^k!%k2L@3k0r4c&AVIp~blh7YUr(cRuNT}`n$ zw}IYE8oH*MuBB2ZWOCYS6!SiRP;{(bNbWj7(PaDuO`oVuq|N5Rxp3YO#0}zNlaR3q zJpa&6OHcmcqaxb&*_UhBqdO+zP;IvzH)^sLI~|Bim1+G`p7J?B%`B2CWj3BRy3?%o z%|`0cTiD&^R}p{q&sthbLx4|xgJunj!+=4s}TbDefI++ zgtk44ZIBsH#Hvg z`EfL>l?M;Jzd{FtiIOJxatVL?e^8?-ED`C-IVhidx!!qWgUXiIb=ht181lNN7{lJL>HFLwwg=nJntXktx z5p(t~#5(%`+49F9w{>R)2PS2;6=9BKC8g!njd7uP^F^LcC3Ua2^bQV>%O#~YL!-V( z7nhgYfkuH%)x&Sa>5b`e;;(vIU1Yv5*uL(tR1GEv;gzILfF}eP21dVxurqS33Ygm( zOW85@<&=5LebDtbdAJ_R%gukfU_H2Zr;buw?Su20wFbT|6{Mo0pDrSOJTrsq>8}#D ziW{`v9z@W$wDJ1l+3$+V%N?RVeSGMsqI?#{UUHqxb^Z;Pit5lc9h9rv-EezJy@Y

pK*gXbR142#zmNQQ#Drfv4V*RxGHgnQ4Q;^T}R^oz!zO0BD{LaGL&L z>#7PXl5Gjcd8nI3yhYCM%M9vGunTccmuXWPl_NNbRLrj|q)Rl$y{TJviDs)Im0#ML zY&&|NN(Z4{8Sr-BumyoVOS4*GmLm}L%1756@7(#-OLhBOkwt~V?cpHa-}SZUrk660 z9BJHiCuuLLLNhZvwAnuQxs&b0IYNN)q8U&eBE^z zzdNH?(jIq`53$4ovk2tl>}F9s4IOEc7?M6`K?+VUG&y|CXXc&Y z@4v?%K58;kU^NTT7F?2g-s0HNi$;rg;Om2y@LBm<4R!E&!zTc^UqH#9ws1G?5{;4M z)XOIzp@Mi^qJ2Zaby7)Nk3QNPDgEj~QI*rDs4e@q8Gm6Sfx6jsv`APR>=eAi5$x*; z!W?GKQmC!cPy~{@vgPF=qdUBoQm=aE()c%|Q;y@XZf(Bbz1$C&7!A_F+4m$3Q!!R# z)4B*)gW^LZjaYii{ckl{QFE=IH(jy2`1r7JA0G)Ovd@kCtL}u{e{^*tqui(F9}MW! z`|($;CCDdqJgbT@PXkrus?`Oq#zBgMizYs_P(oI@+ z@Gx9em2hl#R=5WPHbah5zOs=3qIcZOF?Z{UO3#d z8iK#lF9OZwf|(#(P1i%4Atm$Y%PX16rjWuCJ=854K7yp4NT&94J!p;SY^bG z7^dfsNEKGd;!I88V%kTS<*J>dz!>6xPSS*`5acw#zbAv4S*EMs^SQQpa5RJc-$7E= zPTY!#Hpj4W&PBE1kyH1-)$V$lsaC8Sypm$U@Yld9x3eL6t?kQ{KOP`N}+%YibzPdQwJt@x`Ho0hBH?|>V{6}F&ZQ<>8Z-#X~ zG`mS%#$;vpNO@ zKT~AB2`6WuEgcKV|3p2Ew^hI2LY)ooaaLf&%Hqd4y-NnJ0OMy36`!h#~-eS;LZ#N5`#5#CkW& zEjaQJdZn4~xdy~gR#{QqZA+%yI^avh<$p!p`t?1;z@QC5Qy`y!S$wJ6Gm4Zl?@qa(tO1xd;x0u~dmrtEUMc zH50zAdk>STbZcteh|v6Z%&(}MWYSJwvKSzNJhtP=S}wuqpVai@paSPWTKpd93P%U% zYs5f|NQhLNIC9|zq`)xHZ(^|-t@#DXcy>o+%cIDieW?`a8N_I6wz^c@6FpZ4nzc0b zF%mUjuHWUob8U3K9+JgW>@(;H`f@X$CAVPCNdgbL(2$`p$*muGkH|iCf!%^TcPDu1 z)wBqIXBco+7F@gLfste4LjKUtu#=BJAT^Mj@30eBcun-`{4-3}U@kW5AwsF4OFYF; z&)E5PPR7VUEM@YNjm-fc-O(7%b(l^7*Y28p2@$G84<-eh|3aub3pZj7hm2jrq%#ON zH|Im%%u@vOXNkFJ5$#4*dzDMCqXU&AnNFl=eZ6Ut{x58DGm(phmi<$}%Y11azeI1t zX%|_|1`hl;H{vyG<^S76vPCgDGfFJ;yb2l8GamIpmBb}q5%-x`-meU&g+jh!DH?{83h_ssWs zL9aQAysm3xZ`nzwC#?~A2aU*bXcW3?D|J~lbA(B@@Wgp6wb~1x=XO0JVEhWIL}Y(! z>EHlXU(;7KNgD044i-47MDm}?-v~&OQ55}{g>+#DnBA0>G6J)Vm3~sZx$Y~*6W->i z0CJXO6(xCok1Rt=-%;njW!W0LU9Y(k8|B#9TepHhK7J~M8A%#0(}j9U4F+9d9)N3^ zW8OXp_{uaKItE$#=9i0S&zil?mGzVtMo$b;U~@$eu}T_S^sU5IdSV7w!%BB&=f1;E zLw^)-KOK@fl&?v#7{^+l#JQS1#I&jNX70P6L+ould)bqP#r-05?x>I*UF~WS~yMzwcp&bguA8R54TICaBJ~7T;smSYF$ps84Et z1Whre%vrT)*#0t_iZ&Q?Y zJd;zgb_v?C0_oqExC!tSwWw`Q-Onq{v{AxSU|qaicL13NZxSyrwqclPx(e_WC{;S( zdY{1$wq%8`2EZ3oKF5@oTb=2YvWjZ4w^@^cI+(Ws9zh9!8R#^AhU~?QX0hJuQ~}&t zI{{^@S%g(pE+%`uv~ivv@e2s32P6$s@r_}J8t$ zu^#*IYFR)&`iV0>iqnjPYS$HWZU-8jST&Qg>AUXwor6eWN&{L{_#gyR3&Tg7RH4|s zZ@Lci{?o>c%^6nMuV{oSovk}e{ONBO5Ev*gDfwbp=i;mzDK{`KJc6U2x0XNuEU3K- zPXpz;`4Lbd!HJ(WYdFKvPep(Nr11GZbfoECghNMWPju-0FDwmKi`JsCv=jd?EWOi& z?y(4q!|f@R4n45IVv`Y{_&6p-w8bk2{`~VbY9uf=kX`cu@m7fJ{L+Y94Yc|ap8eJ+ z*NFIa_oJ1s>#KoJlJu07%XC6OS$9(t_|F=XA)CCWfkBYG8NzkO zWzh(f$7-&UE@0(wrh(#BCstM*DaivG{*gbN=3A)x6!zf3bEAo>@xky)l+DIS9O{k< z?l`N{w$DXefN_p;dzx2M{IZeK>4Qq;`wKR;&?`^g{dHg8<_b2N6Z*RL)cQ%TX^F7Q zt>UG3y`>aJg|vBiz^(A?6f9wxCLSIhdc10Ka!{x6NR6eaKe!2>-hez;C1k?De{pUK zN}M&FK;0V{L&SFJF)SzEBlZ-rdmb@m^0(YOHZ~lmekic)=O~qYpEK-%ohN($oO zm?Za#;M0KY`~kf7ix+216Ze?O{T2{cKY;c%wWL5oZ;;jWoZ-NmtP=k@#(O!&BF1JW zh;|>6ZCj}%BQ^VLFP}KmL}vufT7&A@Du5KbpR0@-7bn%w5tB0$*`Qfj$u$a6T6-l} zRTY+KxKO1qprI3xEkb|-QQP|X#+!$Jvn3M#o82=>k=rY8o<%WM6bD11o;xqE8rf1^ zc24c?jiHiZP4C8KYDmesJ2!3^0+J58La?-qG9oMRRZtWr9j9L(`P7KAgFO&{C*>*Z z=sgn#g}7Dvq-yeuz767BaESi1yJ@PH2m}$n0q)dS;#4zIlxr1Kv?I_t?6e{e|1&D= zCAF!^$jwJpQ)0C@fprh>)}eoHtF*8@y1S-+)BFi^oea4*op>^T zI=dk-KKrlU3h4alxsp_eW*L9Ck-qdItU`}c&PL4U^yP7!wfc*-DQE%l?1{+b#FoAd z=&=xBejWB~qmvE`xNlmpD}R2eC1IXLV&j{5s+7IMP`u_5 zbVmkUOY!x)*4ZZ~sAnUcM5iR~lt!YNoS6Ho)*72j=gOZ+@_@I0S*RZO z5T$R9zO~6Wd@&$F>*<+s`Ud!#*7W)ciz{*lJBf zgHT+{*S$WHJfK!RmzQ$4%ZGBat2@KN_g90}{oHyCB?U|dU;A|<(vKu4<(13&k#-%$ zELU#38NxIXd`Lj{X-+(1Db|6bkT`}Ep8FsTcq^Q$e zPa&vy?T-6P6Xw~j5AeD4H*5$WGB08o~5{P>@ekuJxka zdUzHEMjDR^X0+UzGQJKO@#`i}?FPV7mE1U9+d=)V)*UpHQ&!`|=I=vaOC8F*92;>LBmn1vO9Y&WsS2f%M|Q)1saw00{*LMmti@~* zodoL6Jq{|(u28%Ti^mC9eS_B6oWUv&zn0OgA=c_bRLy5Azy@_wG!7bAVF;eG^p(`@ zRI8b?{Mbu(*9RSf!-RzZ#%Src66O^T$M%d&Z}H;)w=K{1_Q_zh_s^qQ`MvhYYxa-R z18Dv#+n*;&C1;N_n_SZam)Ak7O|hCTE%%#e!60s~#_<@{p#VcEmv_&UgQ`Eo>C1v! zHGI`8*^vh}ty7wsnww36)5vl7FxgvNM?x~NOMQiKsbiG1pYZb)>D#4}$0Q7pzK)BTLJ~vwEWUWQ z$}Xk*qt^Nl9X)Zv#|L~k+}{t^DA4&>?KY~aA{$ZQ^?uVRgKnQ-(T-6928u z2VORDvv)ud5S{nutGQTP6LI{jD+e~$yC)h#44Hk%jqNph?(%%F3fspBzq|Ki+4Bob zUoW_YsZ5w=lM2MDEH&9wv!NdQqtml{6siLCt*=F9m9T}V#I>s8qEG_rO zJ+%9K;KA@I-Ma}fE$w-TTskkcxD0i0F7Ux2^3{JHA~SlN1BluyWjtBE4{ z6hIrR<#T?ed(>`yHFB@SD0S@q0rB$^@zuCy(BS%aiSa20P Z>|AY%*U&mW-OQ)8HTABRUb+3?{{SvM1pNR2 literal 248374 zcmbq*cRben`~MxqDV549GZe|n-c*tqm9l4M*?W(Y6d@#=N=R17-r0L)?{&-GkUDxw^KA+e7&3$>vGpEQ;ArOc&(o%OGA`tj%2n4Rj zUwH64bjrIg;6HdzWF_w)4lw_GEJ+GMATA@M@7#Li7(GAa;Mmf0P`ff6BSq|g?gE_> zvtPeUD_y3ze?Q&VdymteEre5jOFQ3DmDu&rw)Yv)E&qm(YU)x~Xsl0aGg8?Y;l;<}sPj>k^yu zec6Ikho33!=o=&bX*`Mt$BT(zW2K>ZcEEm>?C6FPdyfXThB5k{kyXw{g{hfjbm%ejv9`}@~*HZ#K| zE^^WQK?|8awZ$Y*i#fQI3=SC zjR>_C`a3_~!tG8~_44*+vm^d{-Su>ZhT4al982i1G@PJWWIvgiV^Fy@_o$An9>?xk z4|3OTIteN2LKqd4lGc8zmyO|fr|vPN zbUG$q@~^SglVc!)cu}zPZ~CU0Lb_Il#?jW+hDh3~nm&xbptlb=u5$4EwH{S zizaDx;}ixC;S#cqTOUMVh2JDYQH&$OkC zuT{P(Ycy$Ln`9rAYV0=a&2^LX&9AGIfBA(M%0CRzi}Vlpa34esWdSomXe6WEx4E zpCV_1x@Ls4w72G`DgzlTr)EP_2-d;9tfj5A6*6RmeQ%?w+jBR)AEhNDwfmVq4( z_VQV)!*0SA&|R1fZ8g0Y-~QUW`e1WyL8Q>3ah7=BNTb;CjdVzo<#yfqfH?jj!$JHB zu}M>@zoOiGJ(DCA5wA{D%b{dKe@`ulJN{Nh;Cx`4DzEUu1o`<&pJQ!B%Iv4{a0y6R z$EEI{3uS)noXSHjYt_f}i74O!y7xQf!f-I-qn z1ZM-}-?OR5UdlF1ay)Q)^oST2|I8=3f>ZpYY`2Rxsd~{93YQw3et#cx+*;HNm>b9t z6De^aBBhp(D_y$3p40R6SN_Sy4;hHj2?eou>#kYiYmdSWS=BC(lYXGvT3>bQ-CE{% zaU!Pu^l7`rk(04O?}^@DC(l%OcYnAZ%A9m*%Wm{x!v`ikwk%xYYoj+i8Se2P)Y4E2 z+y3P_)u=o^s?$3995>jXhRd1w*uL!dR*QpPlb5f&pWL`;X=mm1MMP{_eneD7O)blI zrlU4e^6;{ADpb23MoK-Wa)y?{!Tz4@LdR9{71Y84%C41qlZM~ee0R);rZ?MxegD|8 z`X{(JIMPzvQIOuVjh3{&DP`10aFumt1QJfv1XOf%1aDFaaX8I#uZ0tp#po}Uy8STj zie#T|O)?ImL!74Mewkd_nXI04mdi*kDIy6UQgv;-Dgi=6L(|gM_IP<$m-huiryIHh zn^fDo9{1Khq`e6YOv+HOutql3hi6Xw-fB4@b70phzEj=s_@qYe+d{k9wiHRi{p|^y zw0_5xnZef1W~YPaUi1AW1C$Q)+g9#8KmC^8SqkCFe%XdQOjooR23Lb9rJI5(-B zBD4Q&pB8C4k{MESPb64G<6V$z#||~M1N$WsGP2sNDQ4rguN;dBGHa+}rwH=655bFz z^Mj?KF#~y7uBtlUIAHJY+`YSM82^fCM`NGqE6qv4Q&&j(MMQ+Z=jI{@QER5#y7ads z10Q~UM?X|(|4AkDb709`M-_evKT=v=-Vgp!yxF}Yac;X?A>rZS$t455y={qh%#aep zlC7}!VcWL(DB(oJ2su1?`cyjp)frCWk)}?s%n4DQt;Hea3uO9GS+JOgJDYatZAgFV zY-}0@)}dTw2QBaGLjVYzrVyn|{#xcj=6&iaNz{mk#qro?^&3#osDys-#p#GrT)5rI z;IEovEdaF!3VNIYvr=1e1fwh|JLmMO^P3B&DfZbQG>f+uEiVue^?8gU;)iLZQPxw` zg@Ma9)8Sk$q?JBrkLh$&o#Zy3tq9I2L&iAlJWPHfQS+9fmWGV&yT?+-qZBm~&yzH6 zQrV=emqZL%hKlSt%68FZ0!dS|T_$p|+(A})cX8X2^&}(nOsiWoiv*m;!%;%Ny9Rtb z%M)ID`$P?J1}mtIRCe|@mQjgW;fR%0vuGFie*Jn)LsKJM(0~&@@hTnN3-)PtDTe@i zvl7SnN6Dwt!XmS2X%WQeY28;IHa2!AMr$_as%mPiry3rg;^%Ms=1)e!XU1DwP*jkq zze4v-Ib~DD=0PsK}w&D)hS2l^f-85CNBl)kA9hS2kxV_jb4HV?|tE z)xP;Vk=0GK*Z;XrjPlXt&0V3<0yc)%N=+j;`2|RxY-PA0^6lnG%VLDf z2&CewJx$&g7yecKz2n}7+>($&tng_H&R%r3xAzIXyMZ>4VS=`G8)<%Ns6#hV_{{zBrvYI)=D^>F#P@2o_SHs9ZAV-opw67>C)aZk5vj?PgvxbHD(mqFYnHTyuGv`DlhMyfBt+0B-M^R^yWal zPkLDF_wQdEehu^`xMrZeLN*^fcz|^1^VmcQx5OQI6~wtU1c~Es&vz>1FHgt)csdX; z*JB~vO-}ek@5z&GOEiA8h>fpEkwZsMt&d)9U}sH=W|s2fFG)|TPhGikWqEh0%*gTW zVdW4Ojlm+`#xIo*4~zD>wA(s&@rdS>m4nTMyzMXXY208p_Q3IqHyi4Cbc*Xk1tGSaq87u&$o<`|rEL4=>ucf! zB+QRScXCYRHey=7@t9oXG#;hTI5t{V6$qJHamSy}^GlfxkIAp{ZeG4@q-#^*QfZQU z&)bsW&)-9c-mUMdvBjt}9@d1(`hP_+tm&$9x<&-~#LP?ugu8&_?{h^COGy8R36_@M zlO9yQLWZCQ>`iO4lkpMf`7Chm7pr6v+YFU?&|Fr%CF-*IUSbIDG?DY>>4{o@4Eku& z&VTnIZQy>PsZ+XE$%kb0F-j_eMB~O#=HzpG4a|K7PHWv_1^TrO4cGe^wM$)XXVAO} z`*v4dp9v%}D7XA7Ga>NvIaqq$gk0m- z=p_r|B%Q8JjGQ8s+p%!oA4Czm<(Xe~!-wK#Wi8`u`Pn(=8Iw7UarhjThTOx#=^EnN55o%neIp)oWF z7rzH#X=P>jw7jQ&9I`UNnEK_Eld&&r>!%^CRCO*x$!1X<50uPC5;HvvU(_t>h?jJT zmVGZp>asD*lPDMSVKKVIdE?{5YTt;4i4jPmH!hxz7K&Sa^@4~|9&tbI8Hq0`6VA=s zw{QFA=jXd1di#;?sXY5Tb96puX%c0o8lX+NqB`i6xq0^NrJ+ca!!LbKga6@nlKJ}k zpMfsoN#!dVe)sX?(6-@!gkV=uQCV((`9?)ueGQ5z;?Xs2Y7-NaT+^WsPtu_W(S>3M zb*WRsVmBbBw~tI`>RT5w_r(c<<>A-o5qIt;dU)@8c)xsw0a2+7a~ZgZYuf27Emvi9 zEG$}E%S@#otZ&3{5DD$#Pzt*8cg~4^`+IAu+cPigNe0rb&tJ+#qlt2!b?a}|#*NNu z`8uB=AEP;U6Rt7hL0yq>b6`W92O^0jH)KiEP)e!LD&?pV5Lm;)S=)xZTTvcb5ET zyM_k4StjR!beE|xPirpVp~x`7t~)CSvP)o6S^1TnK3 zu_pizo9((FA7os3_-o~XyzRx^jc7r)NccbwhhZ{X;{#Iofi?a8kxvyFiKwXVCRY4Nv4_hsih ztuX+S9#_e~=7mRCJ=E;);_#$n4?e$J&qDz!6di0}K#XAaV$o7xrVSaOH>*Xo6KPAF zh3MF#klA(kMEK)10LwP3znG9MyDv`op}#`gn5LGC(D@Wcqm(hJ-|;>#wg` zF%o`cT#H^SlqXM(w~bYvrs9p(&NWTYRA>LDl)T!zOY%3+4N8*jna8$r1ht*UB7;KH`rJus<-2Rr3oeeN zF7;vTGytx2x7%nj9dNbZ9%>~ij@o6o$+%#CcdE@5?WDX@z2*1$4=)hUS zjy_C#_85?iqQ9(^)aYcg;$Z&yTM-=zR<DoE;sQ+G9bx}wYvMaO>X=yt{yt4--(wHL3Fb zGHPwQb(Z_^BkxQKgt4X&VTm@Uh-iL$?i5Arw?Sl{@>uHW&xZ*c9Z@Ogohs5smT{rq zUu&unIUC=;tug_?2riUitF8}`Y34;mIadiojYQZxFISL4KQnJ%n$LcPV5g; z)fi9gqJ?9D-XL;dUySf?e4C%oua@_;F`+SRW-yruwc59`P`G5=RpUp)w|8?$(2i3$ zOku=bqtx}pz+i5D|HQ<^)8Q;0d_t<9MMetWdcM|-iA$>dp02I-3+v5xVMLIzYmHY~ zls!naeL6osAKbh$5{F$wR^$<#NXMQ}JyaypX%(?ju}vrd`7n`&cXXzm*pt=^U$OMz zRcEK&bJWhf;%lxsI>*HJ(6ZkowmcJL1uT~@XB)QYR4wZw))%`7yei6HNcizzAigst z6Z#hcA^v3m`ql=GqMxXI51&<->JL9QDPRxLZQN6en;}%xk!U7_gApXy7 z-2PPgYGSA;&`EB@eeaU6{xyjDPqKN7#Oz~lvr~j1BU%Gku^IHJ6*;4g&z1nG3wc}g z=5w60+-4mw*F4Y_72-Y}F%!RLI*a+Ni96kr#(ieIDNqRe6BP0n;4H6cOMzZSJU5>)+^CYvIN0u%3j|M5eAxlNbY-gFkU8yd?w%kAkkfa*TAQWNdWzBko!MM(+V*gaM0)XdHwpY z(&)0wL;2Wlka)pJ{5Im+@898{TbsK`JSloI#B3M0B>j=Aq0HzXPDB9eB|HEC0PIch z^umS0lxfvzXcJcyMFHI~1~Vd{6NS=PY0{EDSmM${sSI5%4lbH$W-)eA>*%JC93_uC zvEmiA0aoa$lXuI+IyCC=F?kKzZljs3DMG3^Kn|iimc<1Kb6wqAX^}kq&<4UKxTev| zG(>5B=gtk?@h`R$fXp7UB7MBCmc$RYuvz$);=B0z`pVc01B1Y|)R?htzd%k&rKpub zD1E}&vsE?M*~PR0-6;^0UrJ3O@65 z7xUj%@9+Ouc~;v_?^74btXzn#m*<^G|4B?|y?x?v%e$I+B(#$soti$F0@jH+qc}K~ z)nfR|XXp8t-qTZ~i^!Uo-#`2o2m#b3^+S7Xk1!wdm1}pHZW+=S*z180hu+x>3Z0gj zT2jHLSHaRqS!+K}ilu`M?#CzIr!>m!{edP@%`rTKi6xIWG;rog>l7A<(eZh?W^$hI zInB+f0yG%t5Tec$g0Oixx zkk}U|LgYK+#2iE=MnKCz)LB@>&Gw=QNFhmAEc_n8uz2QWwkS@9kdsTpZkASdpVE{m z5K!9<*(Sx>K1gx$4I-5I;hYbtqq}#QBTbH3vJZ3Y{C4i|7JkH=qv?AJw|9C$~h5 z49BicHJm3W|B$-3zqfnQ|84-4SOE0-5`M(TF4NM|R#RG8Z6PqbqV1tM3E1aRvPQ&b z3BN0TF7M(>yu_W=53$dAC&Pd3QKrK0v;obanIjg`x&}GPDVA`jhkIlQ{VSN7xR%Jxbdx$h3vWq#Ngc zl6{)()^+TqPgT)B;;iX{gF_T)U!A3{0%pW{V{@!F&fRdanBBO$c#5mB;$NszDbnUG z3deiSL9tO*~TkRYTRzb(%-rTJw!O<_cb6^ zewfTjz~PKsxO}+iU=rJ-j&M?73gBz5)9P~HVC%`hG-OI$QNLI188O)G3zK4f%m71* zqMUL_jm3rS95J_@l1gAD6665gv*o&L;9 zsn@D~N!-2_9AOT&f2CCc>&fyKHugA=m8*FclAXm)Ty*htsGYf+Y?`G_pS{f5Pd_j&d7KV=H%drnUCEb$Qvywov)#{OTy-li~n96qL0;h*IOJ!*~=@!66LY?w?Ge}uRlj1xoT3Xm7M#!|?B_JN~Hy1v+7FZ+XqL&5t+dW&Vxka@w@=UV4 zBY~3N@trD{(TykDHxSNSv)&atIu)NKFe|i9kZHBm#zxs{8_zCwlUvJ6T(-h*SY2pI zUn~x8#8cjSSlsDxnS+C)e%yYszxiW@xD_)BPeR)zrbV-e!(;3=oJ2E++wMkEl7q$1 zpOrJ6TU5TKn}QIix_zr82v^7rkJ8m*aJ)}-rb@`(uKXFC*8aZ@=4lfD8IK4#^#Cm^A6udROs^}@6tO%LZ}$;N%0!0(IEPM+Dw zt@~{c44Y%cy>>Q!&viyY&u!4uYxUCmRi^P6`q7ppXqB_w7Ull0|0;A?@J%x_$6R?p zRU9tea<9%@iXJNwWd#i*-X_faSF)xbtry<-bRNH|$L-rV_oBEH!A-zavv0RThj2O& zXr>`2^-c1@2Szno$RieXW()xXP`x9~BrK_r5F64!`f?iBUBHHi^=#WG-0-)lS_O0| zica4aN6Hiyi&4-cH*C$7^5nI~Y@NW!#Y;&F}4E5*`+KXHHNP}zTUi#N#52QnW;^wF?8aO2)=*>wQ!tiz4Jolk@3Q^W_I^j81>BDKVWboYfeJ>N)=yBqD1~Alp%3QQocP18 zRSdR@CK&q9&JX3qwd>VjnmPI7_!FZaQ#P@z+|2zWJHjMWV+0o?O~8RCsLyv2u6JFV zS(Jy6Us+%O_%x&jgjF1A#!?{V>!TG!r^=t>qE~89K(=@t5RiDEwpQPU^!nuMoSYog zw6a!x?5{qZ()InC(J>qsPuKTT6W6zT$H`{;fLs+W$M8f?Z|0W(ie#<5 zy&Y+FX=u&^6e=r5!RuY69=lty2MZ0MDUQ4A6}1Bt8N6woG5D7Oo()s2P>Y!kz6AWw zLU4Mr`R*H)gUyucxLT3d@NiXdtxj$p<0cqwW`oQbhf&Chi6_I7s8W0-#I7B-KP1tM)CBqk17haV74q z4y@=v@Ripy&3t-2+x0Di07dx2xSi5-q!k^z6UK~91jm2>6V9YGG_4>VFlnV;Bw}=} zsyazyg<-@|JDku>g>O}pou=Xp=g_OwwTO#*$CU(qDo0=(QfTkZG%+b@?B|6*0y2c< zp27hS1Ons-Chc^} zPoH$_`=Rv-Y&V|lU70}QQ$e)K1!@grxJ;794-bDB2NAE4um=D7@b2Ba&+KfA)QH^N zg3e|vc|7?b`N*QR`rZsAY>b%z5T$03E#60+3Y=oTC&$-H(Y|$c*Vxb~M&NXE&5DCb zRu6!@uMMC{x_QipF;WqTq9cf2x-W?Egia&zwFBD&92XZCOrnO91t~IO*VU+L5{xb1 zU8e1y=q-II>iKnNDB!0>eX#9Xx_X}cw`z0+F8&S2QBUH9&=e&`Hnsq8K1B=wa;Ao& z)19srI(y~>0um)A5rE{$RlW7Yea{*3?AO;I^HOZ}4wN~vBLpR-Dm9by^Y?N&H9R^+ z#wG`F5SSUhxO|K5CL%s%Wi7Xj$4VKRem;_lgF{2TMHVzP?%dA@3v7reTrk%szo1Yw zC>o0U%ClY45XO5|U@fp4acc#P-}Y%w9V(5GL~%|IPiLZhqQZy+CIK%6x(31rWV=@q z%EcgMC-^8Hq!`|VOV~MN@@#NuFyDa@`DT7W7kD!Pr&(gig3}WUqS8Ex(7pXI9zH$t zR54jAo0m$+&T#g9Jw|W=!Z+)mhC)F^8=F|2{&jMFy}jRAZoG>f9tJl{X2D*lvX*Yc zq%`+IQhAAE`)%i~8CjEzTm)ErR#xU!p%nPV4wo<~rsJ$wImAlI`;+sQ*Vn&+mP(hK z{Mc9R3^r|7QNCu55|@qf#UcK?{?wI`IU|U7tm?e3#U&A(PIP!)w3RN+*Il+2YV|p- zxcS55D=Ly}E}q6ydP+7Q~8uPZVvD#~rq*DyHp&4A#;HmkD|6P7ZUZP4M2kW-C$ zc?eXCqyM9)c=JDVzxo_}7Q+`FKfEeyXzVH{cN(aZ^Khb^39^b`q{bxs=ln3jK}eE3SkaCf$b`wS zJ=;GpAXVy9EpfK%SV}!ymoS0J<3GaiS{BJ#9N7UI(og^85p~!)sOFd2f+e`I`R>l0 zV8uV_{_4bkV{~c%@lw&Pn#TMGqig#owO|{S*L5~`8L{Hdovb<}jR&2eV5B^ikiOmZ zOSx^WffRgn2uux8&)`kY-BSj_DWh~}R(zT_Lhg=)L=fzlPt6`s+)!D-!$WOFrV2?< zUBGqnFU&0(9nuxg=BLNTQ|zC33YNe?vF(CovTxyH4vWJ3`IgUb2Lw1eb0?%JM?D%q z1mNLw*$?7Vie9(_yM5vme_Npevti5fRfokvqyRlV{Ush}7Ra<$*x1feP*4bqL~>dz z8iBoXgfb6c?8SpI$!JlVS8z`{zu$7(DeDXb3y$z+sm74(gEB17+ z6|eaCan-R+fz2qRZAIM(ZadGlH_%xNW63GcyzgES#7% zHjAxV{{anmV)NM{0|PgHc78w{sv;tse~g}-Z$k$RPOe3ZLj7f30ski<4a$_G$GR~% zRV3QRye8{I@DY$^m>!~eh8G7zA;lV8FN4K$JY6L|OC#`eg^01^Ex|twb|N|ElwNq9 zP3q^<|9#`L-e=UTA3JAg95zZNlo+uD#_H#boVFLCv4jkh!nCtf!sVG5+x$8(5Fbn` zLm2m5Ua$qm#x^sUL$OB2b_H6hW|YhNYNC2zEK`3{YqZ4B&Y2L+4QdjS>hfFS*C0a$ zc>A@byW#U5YqV;7B=n#L5-K4t|EMk$vaB>1)RSo{>sp~&pXla@6D+;q4@rX;^Tb*KN z+1#paX*mnhv;F*_#6%)B1{fvYBkvp-h$`DJtn+;C1x8aZ?rFkPf-?8p+KCr*Kk33J zkj1zEbtUF{hDyQp=ZznLKcE6`yn@C<Zt5tugHxqj~_)xOp!Xg=ZKWw$qj=?gFB8T=F0`!QDJk zK40srKyQBuwSTR2Z&Mv_)1!8<6d7d!EecX`Iz=gs0hpMVF(P`R(xT5MUEW*TP5Agn zg>wvTWv*W2GN<&=$S>b7DZ|Ka2nN@6+Ge#M`s?ADwoCn2t9OTvK{4O9-hW{`ZPC;1 z$0rl&Jc&+CO%31eOJeHJ&@QV8({}R)rvz&xA3a#$n3dBXmRCGi0&G$uISh>6RX?%^ zC2Bk}?;WY2ZM6^2821=$ir~8WkfY4dpFA+yMh&j%n}C2Z9wX(&;Sv+`j7OPt&yVc` z52au?_>orpjc=j<(ywF%VMc6v6!=5W1mD`++=OIkuoft0wYPJIl5+l-3Se0vGL1pF zMZ6-UX#jI{u;xh`8X5)a0pY=bmO;Da1G~9yR;5%82`G=v-mVCU6IbUgL+~V|?(Vxl zT~&Nrg0(#so!FQ2|V;V!^|!xn?8Jfq%6%9ifhIugfA~R^4sRL(Ig!_jshMJ62Uyg%O*J z`+p#7{3(v(vFU+P*sQo8L%Twr2sLd2nn4xxTr{D zko&Jgraj?DDzf53NWH8*E(t>hOnWsH2+X!+-#ue$X2WIDQk%NF=u&8RZ+}F$dtLyR z!R6Z9mJ}R<%>tAxS%Sx~%?_EgAF{bFijRH7z38lG7ZA~HV2`nB0&PL@%k~^l^Dv}v zeAx8Yxr1u=U*A;Mg1U=IoEp*7QG6l$(I9LeUPBlt~wOA-#_y3t&p>rA3=^1xW zqiL9057cs9Pmo-HtP2?wNR~#6S}#oWfDDEJp0in_&f}wm9}-%H-m^8o8I5OA ziZASYwVbajOtE%=+=eh zgQV`x9CbKS4En9HF#!t$6M6b4F((P#&9Br4xXNT?2=l@G3NX`t&udkvi|B-@jqqCe zwV3_3f-`uycjGxEcKfnvkzz1JV1j_smCZdmr*8#L2nf7)Tt+RArpuf+$Q2XiWgP;s z-l3Tqk*1n^Q5a_}hB1HA*YPMLie2qWGApPP651MrA_zDfB51i#V*8gpN?n0DU{)P` z8IefFoT^!J zO0xDva?NC2kk_j-v)OL7^3d&DTG{h%rD5$qmRpOOGNlh*z94Ay}XvbuxZr+<=|bXUq_ zNHgAnVta3))9e^a%WHBoPfsu2nN3O6Dk3EeOw2DT%5)eJ6-6846xd8N@NS+3)zi|( z?jDCl*SE)gKTwjOrc@kKp5X#Eyzod+BoNX|*%fZmChSTo#~kCFk_c&0a*OEF0< zQ7Y&s#$x?1{|=@JbX{8z1e4Tj<+*OqQ#+Spj)5-y1bJF}tvJq=Hw+Y6Lp1)x_Oh2% zU`}9`LBsucXFF0>ExA%xdq=073S;gpSJWx6cZY(o`&BJLCd&;UDk#iiWPWdpI)f!} zR{reT>R*NS3qO5m?tKIq4@7t~^SsPV-IdSY>x-RX-CAbHzGr8H*)|)*Pcks>D<*23 z7@t`D5^e)70ZM*LPcVC77^&#!Q|)Q8WQfGpXoG;cp%gNQr5cWB>lb0p1 z5JOy7`dYqf@VwsqCRApi6`pWLP`l9lcjadntNa94FZC7>K=i{g(72c#-k9@VGt%fe ztkY%kyzTF{V{&(uGBkp^l7+4QvoEuGzK3j%x^q`zOyl#NNIeTk6X54yQqG+hCs+f# zcbrD(uIW4#q^f&Cbl!2>qWdYp1%U(bWiy3`qp`Z-)&CHRlC_#GI3q9=G)(d+RG%Vw zSX{gR9F$$By__D$BE?$CmgzD!jqMO<*C*@sWThRp^a;=DD=91un*yMDZK52j;;sxf^eg%Bd<3d`Xyh?o1z!L!EcJSW$3d2$l{-Xcjpb*&XSZIBiFo*ZKPI z4E`gN8Gd9?y^vcSN!=eFNAf<6PM8w|+bG7l1l8VD%Wd6c2OF!V~km{H*j-2zp&CScdIQu4*?w{O4PJch3ZzW=66rI2+7D9IqZfHh9F)cUHG zl@*jJu=c!nvJs>A*heGtF=E;_q1gC(1Q#YpK@RRbh;av<8sF2)=WM3!3}?D#8SsoG zOJ^w}pG6(+PTiW!pZzM0`MXL%A2?4%)U2%S8kCGK-CkuLA0OxcZb1lr7_QFv%RuA7UtZvoS;m;P4wQuc z&zUZR#`j};?eQ4F^p+1{FtGOs(9jcr0(LC2Q4XLMc%O{M-kDfQ!3eA`WA%mK8-Lm> z+{8cwLgI@y)G$`L25P)AS(seLN@r`?@)Y_6%bCA0lw|~Yk;RC6Lm0CW#$u5zNr*U0 zBk$~}gIW#6P=UZM>Vug)kgnY0OSkU z*rdxG2Inr^esRa}&EW1X{TDi~Ot#hH?kuI4>{iiMfvw5(hUxhdcFn>&2hVY5P(Rmx zJezS-?(692Fdj)~1#5I`F1s)tj_2o|q;0}eXFpdS?9qVc{4!Qh;^xiE2{IzyMrmrr zzw!tX&m{wKCVRE_b~aQ?kP0|~)CtlPH4dSQhsQAa;Ew@CO7uMCh1(h$!c#-cA@AS6 zFDNmO5oFnZD*9MN*jm{9_dw-q|B|0y-ViPAM1!~{w~L%J9f<$@IfBE60lv3g{1pUH zn2x?x@n^Mn`cUCSp7T9J^}y?ox5su1xS#dDgY=1j@z9#4lB3osD&I0izDM{>IG?sEkehI=(-9F(xaf*0U z#`JB0-Xz7EN4QT~8Y|B?W&Dr9MMC$;`4Xkh<6|xmfbLL%n7uRFa;OVHkPW*T^}5B0 zUEzK|Mn7EHW5KgX!o0fn;>3@qL#I3&!?CBve|vQ7V?Y?$12VQ7Rvktx zs=06Te9n&TI@$d0PZP>0;|O;crh49PTxHD7`Q5|Aur)?@h$UX?kchx9_-}<+XAuY|vN6ASD<6qx(4QUTvL8U%siSD&RfN!i~%nLtU z$cWTSi>B^)+{*lL0af6)OO40Bh9Br?7TR9&1ezj3;P9GB?SKAfA0MYE8Nm26C|DS# zcS5-RXC*ymfN*23tC3gJ{de+xM6{+xmT8=j1$9rl=0uLNc1ecKZkkqQV@B!SiM#$P z>uWzLljhhbK4gN3$U0CuIZ2H0CAPZE!xO5gtBaxW_VXqq(I~R~!VkquWQ12zJm=V* z9336Q|EKkU?T8Kp37E2r5^5k?vTibnUF!2wV08OnHUd6}W5&a&Pd_YpWT*#%NjptF zr#QpLgWHe=yvMqzj;jKstF(Hjwv<>)FjH^0Dk@Yr_x5*}5Zva2;a|R7!AQabOT|$M z_wH1wx~pdfr^gfxDl65S!-)H%bPZK@>BG_^tWSQF5)Bn$+`ZvFQzcv);2UExTlB0; z1WD?9UmwJ4>~fR)!zI<@jIcJtG*&PZfq#~I z5{8Wn4Ce-u=^>6PmjXwe%*qjhb~BL$WhP-Q=o=R1$dR%*p)j)D(kjpA7B_T8DG#BQ$Y2^IZp;5&QPyTg83x#n_7XJ!Scafa}h_9?Yu2sYSrmtT00J z+tfNuc71&u#c438GBNGa>J}~P_KJv6Vf?qs%Wu@wTaOWO{4-qF-?J+$X^AWq1ga+_ zB%D8YQOb5*0xr<=6q9;WGg!SO4$fa^L?o!#Gc=NxJf?E?w;|T634)x=L*`-3IxJQ6U7a`O^lwsP(`JPoBS-N}j z>`C2yGz~~Md$>{??7&YIKkI49_OHp>C>mkfVH|cG27R%CEEJ4e4R~^^jEID7jxHs6Q%w% z8(CM6j&uKPv_#fdY#UvKZ~#hP@9on9Eo;h96NLAL{8|0_kEZ1?A80qhja zwl;AMxr{C@w)AG|{rUV6&hVx^b`LB+Fz4##Hq)I(F;VN*6iz61!+|o$6{ALi@8Z1G zCJP8uHPzMCgF%OPwK+#s)0Ps*QdgIO?@UMOtf5(w-s^x|dBl{PN|i z@#*QL+gLk9#2+9W_`bpmKihgrhLl}X#z#KpB!Q6Gq7x!Z#i4xs*si44f?RXLPfg;KfQa`wIhgw}) zS{gkzS4&XhtQfCkCLedw2yzpP+K<;iy$Pa(Vh>MW!|28g-;o&b+RxYb39=~yy7%lYYJc2$DD9#9>7W(?(;n)jTWkzRa-sI)+U6px%!{G`x z5yc#BZ?G7vc4;)N_$wU)gX*`JxPEu1MHSH3yODDnpL2J2kLI^}aohV;giruB{`XYO zbr+8xE|QK=5%e(;=k509PAg+_4JJni}xTA)|&p;PtxJimYdhdbKwDChpi-)scnVAMhhGpcXk z@M;67T-TcU)D-qk8X6hZzC1}3&Syb=?AS460R7<;TDP8t0MTDOhyB(8Laa7|%V_cI z0>D(i`1lEr=-=%`=gyUT9>e9g97VvJFpPe_Jc;28g+2%$hZ2ByhWvh(zBC$*Zo=O7 zJCj;0d7KV7hfh}E(wU@C+tafZ(9df=$gfSZ*4fdq4bzkt`OGP`w6wN&cNNprcx-Be zed>Pxe8Hrc*p_7=3+s@CJF#Z!f!?;twHS#tih^Tm2OK5T^4+kR99o#g*^7riAt>r8 zmhr69y9T=qi)$*26Lty~1^pvkQ;0!6Iy}J)P6HFSl>x@25Ld;U{U(%R?$Ll&SB71d zV8-z2qRJBnn5}1k`37A4vpTv#yE0zcMy-ZzA8$ErP9c%@wb{A|M;8~O3m0xXI&M?Z z9PJ^IKUQXTqAVyXGC~!Br2ru>FaIk=xs@`g={i6+P!ba5B5rpk-dow)N`ml323$4d zHE1Ay)}2}p3YFtjs502Dha5%{z^f&&*vQUag$>AfaqKk@avfdB8({!bFnk)ry~rwn zEf{B!c9}ca!QJ;!(<}>OyYpN?lr)1VkeSu6oumhnGL8E-EoeDo7!^LaM z)RVN)c$f&5cTUUEn=Nr-t#C6g@>^cU^QuUVm~0;%8>@f=zsO~Hx>f8z*!vVoL$({_ z^Oem_cm6SK#GBJ^2_O%DJ^988vJV`Se3E<&IA-t+8r~n%IoRKuA1M=4-~IUUGKBN1 zcH`raTX5Lf*)g}nkCfGMqf7ZD0YN;-z^*XIO1PnB{@Tw^58mtp+dQ$jD1Y-NA_Jti zQ>b8Xc(csmmD_l}QSh{r;nnF&w_!z)5947zxhayzZ+(4TBM{P@?qI&vqg0ji&}&|Q z{H=<@qWG4ptLq1Quit6}1weIBoRLzG`wXg%MX zNlCEnbVpD>3UA?(BnZtJa~5jdNtor!1Q4M?Bdb~jI7yy3aLY>7um z-Goo$`fkq3q7=mdbGKh$NYiztn#^{-H^`fStfSOzw~04!T$bzbralops##ZPP$LKX zK0ZFRnp8HZRRdC1wL8!YK80OG+Cy`Kcb2kF>;R3ynHO*9lzRn4-2+QSyksD}BSt_N zB!s4L4ljs}gX!te+5vd6Qn-)0_&24b>Tv7B!(drl`gP}ERVwguo1sFx-PTqn1w81M805llLKI#Sw7tgj z>{nf;rm?YcK>Su(S{m1Z%l7hE@kY0Lgtx2buV0TSsi+E|f(Pskhr4^gJ*5Tzhf`m#=*z;Ihc1{)pwpr2n!c=6NJ;KX>Db%<&E>$7x2P6(~wO= zNJz-0Sy&aO?OqT47~B&2Yu8?b5)*dH!f(O#?JIW5 z?$iFW)WD+}3fhSEluDjC73AfJ6IJEqH(z*paSec?F)=^ir0ua6nm|?lMLOi7kUb07 zL=#lA4GCG4jg7BCtO`c)SsvwWh;XhSK3~JALLh?R^K~q~$b40=T6Lh*dxw6wpT2o9e;HFsvC; zT)f3dDMn8KzN!?xDvN<_{kdkc5Oy?D7`Ycv&+_{E6(D9o{9cA<`TCBXu<1RM;$Npv z>sP!u;ovqu)0u=(Lw~o^%hHMo3sZV{9B2gY!cksR`*982AT5JRP?hfnP@cRgCnuL1 zW@yd}iOZLiwE^zWqG0x6brCN86Ueo9-(I}sbCycwhw*t<^;~`Q_KNVQlU&kYhV;cR!BY=TVaMM#QZR=N&p4Ca*v9X@z^A~2A??UVQ=PW`_i4CCGRcD9Bx z>Y9axg(34G^lIMHa&WAq2c$hrI0Y%q5ODAI&dvp5;wtECq(T_(Sz20RMwuEfknnMv z^%KJ#$83J$y{LTasZ;Qpi|H7L;bR}+g$#rn374=NE__iA1952&&!VdMb9}sj%O*=~ zY^)P05++Oq9G5RcyZ0+qm57foZ&%boO^saJZG!}EPi14HA5h-0@Rqb8hcdbXfJ~ns zCdgpW8HZlY4VO(*z&2H2JGjJcd_T4pT94=+Ef2EUd<^fys|lcL^r3MNFEHC#pD8}r-~ICC3jza4 zq0ELuXaQUx+)+9z`6dNN7vTx-{{~iq30+s~8RcSyBftSaK0E8IT&q=R`^F2O5WbPg zdDg|L?O9+u^APzSB_J&$GY+!^7%&Z)UNQde84V4Mtejo;KUtzS;OHl=E?;G2gpI3& za5L`z!32*0iYx}Oprov=IjO0sK|Xp87w#X-oc2LITnH;aPqM>(gjeJF!T$lfcp5Ij zm)oVnwqT)>3%~Ik#>3B_JEybAk44yhf3!KmY8VQ<$ZL9Wcz77@IR4F-T zs-D*}XoUqYSvLTrhZKlocRYj%47<>NfV52+>#^^INl(z|G*ii5@q_e>8H#<5i~s$5 zTRuKE?yj)(l-qC~NTPyvWF42P=zyUzWl3$wvC8K<^yK!^;9v`wv*J|8it+ z6TS~{0Pe3B+{ca*7l!~EG5I|6A?W+AD8nXWZ~^S!yYO)1Kb!RrpX&L4v>0_}sO{}@ zptD0|Xr{uF8pr?m(f%J>UjY@>8m^7WQ4~bFEkGKi+oObZNq2V+ohl;I(hVX~(lyk; z&_j23k8}*p0Qcj_Irsn9x~`=QaDYAgd*gYYH#X&mzCQV@Xalm^>SP6rKMqwUi0+44^z;&@e-fE*y&+ppSY{(Hawt@7KF0bnkK zjN1fc{RbqkJ_G2Z0QdHSARbql{@=C{(fc34cA;is3IU8ssZd7{@XVc~BP5_FO|7l1 zQ~e@alTs|TB7hl^a9X^N*#zrl(g30$7jz$zZvS)IFW~=s8F6s9Fj&plj6h(5>jbb= z47kb_+5T8uRHO$^EDs<#(CUK=hO<1jYyE3#__2tXL52VMO6axao&489dZOj-&IhK{ zyGmt%Yk(|%)dmc<@hxs|_W}_Mj9PoXqZ6g1w6(PbJ+k#6^U$dlkb^M)oQdfnz-BV= z>jDW*NOaY$KeqVQErfzU1|+Jv_4UNXi~kFw&p*w=cXI`pi`Vm*6<85*NNd+7$dvzy zi#Q=-*SiIl4D0IZJP*fBk55iOJ#2vStU#-(u}HsZ=kTy~dO8_IZ5_}dL9n+RQ0}s= zlfY#y3Dnq9g1sA8f*TGchZ5f(gKxL}|Cr+5PO^{}shpe~m;+;rmj>k44j?>WKWe2W z4*`M!n`?5f;OjmpWK7wMUMOANL=Y-L_1lPHVYW+;74);e2C0n7;NM^1A7gn<&>Dj+9^5HP5KUJ!dgmSg};?v9gRng`k>2&W|6 z+}tzXXVy>B?R*%dq@-@%x|O3^IMejs=?DLJZ`r}Fi$w&LPnTjFyrHr2CKxLQS*+`u zbTb;j#twkE!3H=`QGGS(ef5KG-UR>k$0GO0{#8HrK+g*{n^D_0ts}A!G08kSemz+g!a#8a!F%jY9Nt`8W|ad zrtjIBuo7RvCty9^?^Z=91;Kkv2fz$e8jVllK_zt_$UY|0fa_lUIjMK}m%_GVf^+ve z-Jb_x)a88}CNYpn+S}W4o~N`u&jCLlOfLguijxNrbcML6s68MY>@?SFLC~-NW2$-s zKPB?Otu8AovpNGSR9D_F04FaqAN(RGd>#dGAf40=r5C~uPEN+io@9aZ{Xx*;Y+@tq zzMoB^bX`sG{%(Fff|FuL#%1*#tO5c&_e0kwBj9wPg%1pOd{W8R01^}ySQ}e{&nWuh zt%U_W;68>Yd&}UZfZ()$|JxTh_n(`dqSg7QAv_!b7MS>tm0J>h{P+iVC8J*M_VqB~ zsCb`K3IR{N+V(a*O#xT~1QCAu?&HlnS6B?d{&c{ST;1Ih_#^&t@g?CuQcv6BbAa%G z+OpRK<4p?S@%Q>$Qy|5mxxMGUX0E?#Fut1>u?!9NXYJNTz51LYrk4AYdb;(n!4=w{ z2|QG>Z{&>_SH+%(kZ~FHCBFR)dIDD7U+(=rJ@Rm+G=280h{Z^}+(AxZs1D;!9;z2f zbJhree&qNd=4lYk}g419@iHFoV^tjpRs`Je9)?HTD9X;T~T@-)jU-vNoSm{!K zY)nk+{_0>nt2a3pA&onyT{>iQz_prS`6>2GLbnZYnT(YER1r%oEnhS7$1-NEQqM#1O!Rfk1DPEC#27W%7s z(ps>nwBLQ^nOsEQ@7t~U0$sD>Jp(nWaw}cQ;=tfRHZR}@f?Tb8UHxhi>&)6N$97%c zeSS>>HtI`>x`fst<4abr7L$$`21GLc(_OhwQseAvJslzMCigdNhx>&_T0VCy*2-q6z`CZ0IbtH6$ z=3s!Abfi#RPw#ux^JPl_R(=9mSzr=I2$%U?_@=JS$ykzSck=Va)tA6vlOa%VS3+O> zKaZIjSn1PZ`M)O+N^cyuc>an^!C?JthBYiL>5jFPnJ)dVeNtWXBILwLc4i+JL z`__HCbB{{<=ha*VJr&ymw&17SekWZg`ILWh5?V95O&{6b9Nmmhjx{;0aQ1mA_h)9t z;?j;@o$42#iciLg=y9kQCcyqUKd*ZQ|2;Yh0Q<`=-Xq4JrL_1a7yyWrf4}@_h#Hz4 z{KGbKk7tqyR0*mI&WYBmlHxjMb}6>kDiJ5B2LXYm7cq}61RP?HmpDk@zw9AnVi<&V zOouqwa?Hymymwg1ojEA6;!cn*OM!)2u8vRmuBT3{zVpyhf>LL~0N2X5BosY`3!9DFvb!8AP{ zS&=-C682xVJr> zD6LSbAMM}h@afDDTjS5!E68MM5^&A~_Zh}=a73o*Dw$}_`1SwF=q&KyZ#f(e0HtvV6u){H!wItYF@T=M_nWji4 zGCQ=Xjw-!V=*(C56Kj)2Yh?RNEF^Tyb;5z~p7zYN_RRg}-!g6AVwDx8U8-bx#TB1! zTBv8P|J_x8lF^48Yr+VsS#|lq%hYyJ(t-4?hH9GjL)DQxB6|ZHo43VVkZu=})Egwj z#q_#fC)BiZDX_&Uhi$+mTY>A>Q5;Sgs<&Z|k=O+WV2wJ=JIwTsCPU8(Ap!x|cl`#J zedCWY#dlyX6f@h?g#K^t9PjpO3!vt$f=3b2KYwQSPa-i1FKS~)oO1i%N``NGbbca_ zsm5?0B_MeffxV*6B(bSVFO78vjj3hXIto2z{km_Fo z1Ob4cw15Ryds*3DGtZCn^BLn$wy=_Ty%GS!pKYM{vtPW5U1bIPpTf+|M_{(%(z6w1 zk}FxsyDX5f^|#0SOiDPL>d58~fi{?ndk;d!<|x~=$pJ?=n8a(1?6uu{fuOtGSx)5< z7!URfL^>tbUC)rUZawmL%v|wwK6e*<_`cMGu`_6m!qR1d?yX<34qe4E8r8U|%Kmg_ zhApQG)^rB3Y#L6|qZ&h$>j*NGOR@g@NrA%UWfKDR%0-Uthg3aO-rjD|=rg>ltD`yI zQ3=bUQ)*mIOF}7}P{v?dhHg767GxIBuj>!x?cifj)eWVX3MF-$Tt2xNbB?p=7L4B+ zOua2CQtH`=F)@O|(37uN;qX8)-1RB{{8rdAZk?B~a27GMm~~?Gn&``+E9r;W3GRA5 zR#u;GS#V;D%5>`k^s|LC4PVY_9T0 zm19Bp_~GOM?U)@$M20Q2zP01ica(jwrrTFvQ-gOf_mE!&*s$Rd-=1F)$(XMIl>x%-nEYzDjDTvTw3 zdVcs~*wUMSdjU2w^jj9BJ$o2N*Z&eA^ElTqcqhZHxS8`TctcIF^!Wai!pwZok-nvI zdyz9`u&!I2U>Z?z2}fV^bi7>ZQ3p&Mm<7e({b+mEq;3Suw}=>7-@q30g)Qk>8iJxS z)}8r1-`hzc##@#lbo1Yw)=qGPj_|yB!*%a+HcbqCVrVz_T=V#x+|aKj`!2)V&tTtN zD}`%V8-)(mO@#-oWd!#9jKG3$-zh#Y!f(Nv+6B3Kq#))I{R?_Z;mgtomM&+hA1BqT`GYMo0*y|zk~gvXN-XZhZ1Q%0Eb1Jhi-i<( zu~CQgW#1;>$ji|lxpz4j3$Y?1P5#h;L7?pb1{Oq&$is`<1(Xm>rQdMmr)CIk!ye~h z1;1eCeTZ2zmGu)^!pfQ{#d+GLA)}}F1Rx~%^m3$#oV3oN*lJG^yV0iz4f>0 zv329?`-E+A0s4atPlPo0xw|b?jHKb0omOYvg=Fd#+dS}d+b7Twm88Gm^>I}|y(5t| z=urL@yOx+Apn4JB!Ra$6ZZD# zSX~@-FTgW9qceubUR=ZsQbAgUm$G})xpSrc=;HIgnzrXq@MJ;prfl`%_g7s%Le}f0 z9{v~-%TiCJ*d|*`PhEbM!Gdm>htHM5J3CpbojQHh4=Qhu=3;J z&fEaJ7=c2~(Nx$!n7Hj>7;-A(pX?z5_+;0mH*+m%rM@ZT%se@W0BWq-CVH4$9aXhi z_#8P#;Sf$;(^yibUBVx1xk_V|$9VN6XI-ngr4!dv&iwkFL*?Qk*1pTLWY6+LvlTY+ zULAe8-=e2o6CLRMr%}uaY@ck0N^W_ckFt@fI+|!5X_V!xbnFRct)5I1V$fIPXNrUe zFF4;J^620-WqL7XB`(iFQHS=Q!`g+7RSNWuFui^EUf|rs)^Ph^y?PM#5w|!G>+8~G zrq!I5)#K^)YK4yCCqXWLY>o{nHGIg!?=Mr%oY@(U{0BjfJLSl!uZlC8(RKe2;6r}n zI}D=l?5|~1?jsUo$>&2IFUl`Buhw_hQVOf5g=X-y)QNG@E1`9(XW!<1=#EqXjKhN; z!gY7~gv1tvB~kt+SNjze#X=Id9Em&kC)D=Zslo=dNm!a@Ir+VIdHclNwBiki$!vGgY1sY{x+7fy`Tm|Pee1jCMHSz3bjtm~3_ zTSEYWt}5qu*}dQGFKfK}#fu|f;iJ&z8f4|ogWA^1`YvV78^0&YXo~N(OJ6M8I#XfY zdct->|2C6(*{)699r_FG>je}AzyrJ7ZxEt!0#|y->B&^Vm2ZUrR26eknkt)aqG&s3 zWOC_!l`%9MTiFnV#+SH**X1lE}I?W6IHPtmAaU|jSxY( z-&H|nImnM8(bW1#mR)4QYqan4m#a&!3ss!#A#@4jT+|1og)$d@G@Ko%R;HHAu8U_Z z3KQeu014+!L!$hAHuaB+SqDN|`RkndH7!reayrr5aQLF(wd`=+pl9F=RKFGJW?sId z0%!5f$@dWB1uF3|T>ND9qA6VR5G8%h9$g8V7xXEC%!gWErJnxwB&TxD`PhEj&>Mwl z?YIe_XQESY#{Tfs`d6Q2t4f`QN3iKyr7}5Gy z3B1*0-}4|(ThVKBz;$e)1#hbRo9mQfU2F0&IVF(-2bKLs23@unV;bs3d)Brcx-5_3 zz+9*((_)1^s5z5H(2d!#wuZ|BC1fkLkRp z8V~1Of_ga?XeZDYV2?v*)%-6;)bTLrW7^uB+2+@*&)~^Q{r6t{)Jor~9Db3NX=-!i z$k5?(PAZ@C^X&@Oqe)pYwo2uZPtzgKE&|#ZhFEkNdm$tb`l?JMJXP}nji)GICDP81zdp?iurkNQ~BNpYwnSPY;9%^)ubEEM^j%cvkE5rx zDifSTjLC5N3jS6$flacrOI1a*kO+DZ021Q1u5LRJLUTyY-(AB}*1`1({bgz*Bo&^( zPQ+a5y*3&Dyixe~WD2si$9M|Id*4Dk_Q&C!c)=gs)?efn^9y5(4<_e>6X6Lv*~BZs zp5X&Mp)N_!St@icr2Sg4F%!K`y$KH~}euJXOWHrIx=Rw*3r-1mHo?kue|ORihZ zOSwsKa{r)o!K+X(A$VB_Qy%a3+n(8!@Cqx5pA@>7iABX07A-`6Bz90AdAdI(x)77yp=BuYHu2D}SGQ7}dtXtzTU6uvf8uJUHO1!+B!FfpbE;XyZx-#et5bw}0%2Z||LysFl^f8=r&KeOR{v_U6cV}+RNg*-})Xze(kN0&Uuzhq|{ zBPzL%qW2;2I0)m)tXk(xvHT$s^;ALcE8N&9(B?bc z@p2_=_wU#Q$9=|@jL*4@(-f^glCyquoAQ&1Rb+gE=v&0nb;RHi9UCL)QgYTo!^*;F zZPu<}92+0+c}z|LWUwp(Yqnsv19TkNJGk?#S0QQtImB-i<|Q^hEiZR)JCyuV&A#dSLdya?U%GHzoVXFuEGG2D@n^N(d39J z(80JU1>)7aFpqy{Ty`=VkrfIvOk(@n@hmZx)5qMLJ1CG@9j&_o~a$eFKzagUkK6p>2gyTHRyWq5aWk>HQaQx-D(fAULVZXsOoa2ZDe6xMZ#?oyKAE$ zp)Kg7s}xgFr_u-*m0#MF~W-U8acOBRgltt_eZ$_{Ey!R0QmeMApV^e7sjm&AT^y${-GX z?2)l>*p<8)G`ej#uj}F3Zz`k-r%0*#DWU_Tk8Z8|2G*Euy}up+{kQAR!1+qx4$OUC z^&qBGA=iRhy$;EdGa9_{Ahgx!6A@|DB9bC&j1s?FN`|56p!p84&TO5IaOE@h%r$E* zx-*T+@&dTXBhrKIzv>PAtaH2uhvuBQVql|bq><>GX6$Yh(UN?9c@gaSxitd-!!a^# z33!ej7+4Nx1sY9`UY@=?s_E7Q1VnQ^&u{73sCX@{POY;z@^kQlx3mF0`z3EX$aR0g zqu!Z0-rS`#SHHg^NEWla{Q;84>lx!M!|({Oty}uBBqKeyuzWuPoEaxgg7o&fC}2be z$+f?H;ji80*1Y_1S$m^Y5Kmbv$cWN|{?{WrUV&H25E!2)Ca z3|))Y$cYSymP%vo=UZ9uwQ$QVvOFe;4(Dbo)}7*jobf|yZK}U@f6i@YDZrD>S%wiK z9XG?)Qzh;o8$nii;D2+(vts@>aML|c-xAO1EFmDY7#=TpdG1gC9h@2b!)lghS-nV* z1I1oT5w_mDwY!KgANbksg^bM$rQrV}J|0mOs?j4c=}yUbZYr!gSWx`@2|jo@M&Zc8 zvH7MA*yu4IjU6(!LG{_P_}NhQ4nExa5c9ivci{NxFRxlwDu=__W!69l1i*? zYGYsT!mR}f_s7}+5k9?;auRTsdHHONLGS5iD*n*ET;=IWol?-Wlb*+b2%~~qYyMN& z3ZJ|#XLfB3WJuw&IJ&g7a1CpnfT(roZ=C0+(=z;V;SkDExX_sD-*dBQSp+}-moZxL zLeW4hEj?H%&B{x=Hb!BttTN}3rDb&O%YE6iUyix!tpn3pCaFFKH-rcS(~dRnlvyH)@bBryreTCt|U7Ps7dOr~Fzdf`(2LwaqMbskQO z=q%e)n9Wy-j$M`6Xg|dUnZiwC6-Sv3zASu_`aq1e-gs3p}^sHA=XJWXp;}hJu^s<=*m}x`0l|&K+ z7Rqr`GH-?iqaH|BK%i>l5!Y&ESI-nVG(}nfSTpVe_po+2=5;MpB}?&|2x?hB+C7>v zL>IZ!0)8^5(-A+M3YQ4@QK7r?j5~G_kGG3|-f=-C881PZ zZS93eyGzsI^RyQkKL@hi-DceC2xfGm_l~h&$=9!3=pL(|_Id-o`{pgy`SKpvt~9$< z{^dF6P)INR271{FF;hv^61aqxt|shst;(tsAMbi|@$hoAh*T*i4{3CK2Q0vi1URXg zI%8*LC?nqb8H)~hau0VFa|_5&O}b{$>v{N_Ys$tGg^4_b&KIGDwQ;@_vCPY8gR3Xy zef`=tecepZ#SCU~$nU;H=J<)<%VT01BX9^${=1(eH)^*Ny%Mc`Y;XA&(7<`gB1IY5j>WeBrQ-sop7OFB-%0#Lh7_hN^wU-C4?p_Jr#5M)srnd91tiqzYY)G zJ&(~_vBq9$Vs;BVt(h0wb-P@Z0)`r6JX<1|#g+iJu^#F4j6ecu^tZPX7j zp3pP<6^>ALk0A2hxtUW9|E~QcrT^eAj~ANQ_5mqn&=d z@6UT~+Qe+^Y16Wa^)1F`X+J|Gkf3C_rByxleH?U)hnoEUoZ8Oepvv1;cFb=P5e~ZJ z)TTK(IpZe3Dk*FWCDk<5O8~l<4EsFrL#6fWS(arD>U@m?U3)}~+h1H}D^KvDg!+{U z|2Ux6mzMHOQo0_Y{x{?cjJA4B*2*0LOjXPjQ4sRX5xkOMvDkJ!tBeF8o)zrKFzaBi zswQpirf!?08Us300J_;a>m1XsxaHXR#TiUiy(HxpZIiiXudmZtD7!=J{gt{|+U-c< z2gHLR<6M~HBFMhui@j;9tuvOr&gxo5v?Y#UYgbxS>GN96(Zv?7gY2F6yNuQ>&CRHm z1*eMc!3u3(Evz}qBXZ-uSShnPg_v#eql~grLns$O^k9DIb8@fFJ~odN_LEMBo7@mc z`)`)b(;!W5sj9k}+P7&p@fj4qCJ>}_yjr|v6#SbzUYh(KZ;)R@{rGRS!&HH{$sNWe z#?8m44dY0%bdqs(xrGe(!Uu0lELMbFQH_pJ3pQO-btHNv8 zj6&w#Du$MQ7mW^92;`LFHvrgmWs#`lp#1quQYoxkOt~v{hub4~3h%vr2pEo1+ox6* z~u59^|Hi3e6{F_vO@gQFC*PoBlhgj_I<#JDg^7dJw!1e`yXY2H^I9HGeCJIm#H z6ywFQ()}iV;a+XVcev{j9fn1ev*+B=Z`rAJhCMf!92Z2OR=&K}0``6=VW5PCvdI?m)wARl3N;+U92KpA29!qi+Bm2=kdbVYfr zC#H3{v(!ZO$&ECmnGS~$FJtw!!PHAjwUFgR>=KLhG=W|PsE9(3R%KGg2n9qWI5r(kW5DNl4w4vPqnreyFt7c}zT6|i98 z7ZqpvW$^>8=yOu1`!>3u_kMqo1@Fx7iQxQM?B2sHNfM%tXvWqNTYuChKg%P$R1tUp zR$PgZ7Zj2|7Evr9vbeTfy7{NK;-v6;#6bW$@!rK4-SL+AL0_|=;j|;-6W0*qW?R}0 zae}ISTHnDB$M$E=`#uxN>X%7IK;yhBIjY1E=8d`B)xG@7or_WY4suF-nloE1319@z z6Qn|l1LM1pfzYJtxNp1$wcQ6K7*hpdA9O39N6kF!RH(^Qg4QK%V(o}^N_wJ>?8TVJ z2gYzPQK>p)D>g{%M))6U00cLm0fO5$Qs-Y1sBj@PW0`owJ)Gd4dk1 zAh<4@hdl-sEKpI2@iS2xCSb}BDlmVG5_zal1?tUY>ZRl?ilqmVAcWdHq9Qegd-=Vv z9Sm7tqv)9d{CNYQcjw{fT~w$N4ArS4q~-lBg&uOHtH*cvMwvrK4@}|e#zbiJbG5QgztD0?T*Bn~uheJuPGyE#F1=^f zvTSgm$-FX2xq4huCMUbt3Q;-ByZpe69h}g))rshrMzO^rZ-7}n*cb@jRWlW|8>K|%iS`mK7Ey1UK{$9Qay^bg2Y2f{O;}a#-ZD&q z`5x8?&sW*Q2Z|-U&;r^_p|jQc+7}aLVF=;Wp0C~%Uu7gryYiMRd3oasp7P-FldY4s zxNw0RX2V38!j-(Tu}rB_`P1^Cr4xP+w&U)5Q)dlwFgsIQ0WAs=c1vD=rB`vgBe#fU1@dSv zt3DzT-SZhwy*mhkfJA=oj313{UCRoLL45Tedb-WLz9`-NqrYCrNdD88*QT7S`cpU^ zx%H$3ikZ@LNzOD?p2ouexKvtvBXxh`LuQmJ@rifK-!z3nM)Xwu)KN!UX7(dhS{v5H z!aoG%WX8L!bqiRdCnq)7*H&mUtExqh`>Rv9BUPyuURy9jQnzgEVXVf`iw=|O+9M(f!)?|O z-fV4FD&{en%M~X(r)+n`-nY=F_%TtaLv(Ui*srO4YeQo_v#itL>Z*IDl?CHJEi0*R zP=*TZG`Z8uPDxGYe8i!8Xk%;vDHcv2R6jk)Yv1-w*l~m|hEvW93_MTjwkJWCFvnzg zSbEc<#vQ|U45xMu1^At?j^xxZKh&f%+2UBq7Pk4wGO#MTZ8lWRoLaNihv7J_jOS<) zpB;I(UewOMcd;FnpW&mH5Oy}xq>P7sH1!#8EQMR$_^$qqc6MsAuH)V#2dA}ZnopxN zXxYVY7_g~}Du*=9pu1LKyl-al?j1(Xz_!IY80e2pE-bv&Dtq30UxrYe?DT8)^2GuX za2C!JB`%!WDpMHD9nC*BzH|DOOd4@=WJV%8`Be{mL+J13bjITywxC6I3+_By{`)~v zu8@VBD=A~fwuaU%J9V3GUd<1|TEdx&U7R0yVS62Y>oP7wXC5`X4NbRP(Lp2vg3dJT zV#0d%=&ZZWrl>ksll(E02`_Ke!VwHlHi&w8s*B7*E*%RuEhT)D@9Hnt7Jrvq5Lbz7 z=fxVoieb|XPq5f?euIcH+(@J1t6^W=ns@Hd`^ZV6FFQkH@ee$<#WALmDcmmSZ|s}n z>08)xkkS=q*PEe{=EL*?U*l~B>+w>1_4>&0q?frJ&ALW=XWV4j$R6DFb~_hJA?1(k zHDz8zDS0zd{+xBNJ$vJgk5t&y_Cvm-?gOjOZ!ydq*zp)YGN+CEJ)8*=iPR`A%AlHzd1$e6I{{ zo7fr>+6;A)dZrUE*Qv*nDL4|n(fHW;g%R$Y0!bJ((HT46^eQ}s^W4j>AT%~+(Ju5T zCRIk=FP!3D{Cnaw8LO_34{xbFCUVag&AaAnQN!Hh$%6-m9))o>Q7F^DX#D9^NiXDy&bZaGzv zT^TiP-%c*k**e)BFV=8DxXmut-PY35PDz9)^|95kh}C`H)$>+jiHKmZQU~LsDGz-e z4P!`ZN~D~m7_-cqn>}XLA|oioZ0BAo9%r;GW00@-fSrr;cYSTRh0mp$!#1W;(E*Mr z=nx~q|1$xHMs_RynKoyxkxK50Wth!r_Y9AW>bgAA0z2T_%B8PY8dbeB8AdCc{^_#) z@87ByQGdoD!x=(T6QAq!5P4hG{=*lqDC6+j29fKZg+*F-8N{`Hs^0#Q!@>7g<(08t zKS}dXm=qCNx}SdC3ye`@X8H=1{+LA_j-{Z_agpm4A_h!=cbivaX<`@gMX*b|b}{0h z<`L1J72`|#x@^dhqrjhw;$^2O{nKBK;ki4i^9oC{GDEqKdex->o1)Wj;MZGp6+-~* zha%wnEzboTS10<8ejIc&GtO_G@SiwAZX%>Q?TahYR2MOX$cG-Y0L&pyWjM59ZJM0x zrY%=TIcWw*& zY1zYF8hW8fI!i-|9(tn&h#(tr{m8`L4bzs4}?2 zo|fGR#Vv2kXYC|a57uTLv#8Q~Yt{tui_01H)Zp~zNSw1DPCK)PYl?XVg_INcR#!9* z4hQh&LfKDxA8rUlHAk?dw07ua?~-#~w~&fh$X;8`jk%t~17>qLWcOmbCV)2vF@&fd zU>KnK;9t%C9f29-c8ct_qV!t4bCg`X%c_ZE%6bZ25g1`7|L~OJEh~m_eu%Nh8$#_y zFZDx7svuNwLU{;mF~ifrbUmoj0k>*u3p@fl;*g)n_VSn(GwdhZ`X=V;AkEDW;KhKX$}IZXHMF(weffoi3a3*zVvXadn9*6 zD0*OXb*0?2@}0vem^FUNtHLF=&w-(ZYA_#~CK-;;yr;<*Y94()vACX@{!_Go&|^Wd z5;@(@QM2u}uab@?U| zcY9#r0>^bBhywb{4L`w$ROieUFuT{D!BX*6Mim)7_kSs{mOZ!&w;*oIwtb zz9?5=bF)+^hLzwqSK0q{vmD;dKaOA3nja>yxV4*WUsjrC`rIck{{f88lB`^ioY$2j ztOAn@F*qK|WKUv5h>rX^0eO)ajDCDE6)&P~YieUjAu=>CooUS@ZKFVkN40TVZ)Dq` zvx|kMrs#7G-w=B))`8OF3J(;Q%Rsf@-4 z9}PJ}pR&W_Byw?-C$};Qoy>^mOjIZ#j5rv=So||@&*|~@R!>?85qajbpB7$)u23Qn z!zmth+D!}7beYZ%(OM)Pa+(^WC@2r2lRdqSj(+(-Ga<#=?U}=!99B}d)kL?k$%&$c z&hXnO?l*Ua>TMi-+@;IU@j^`iu*aE!9f^SrXar)<1ye|xIyNya$={0E+yId-7dp+9 zocI`b!&b$6=N&1=g-(Hq)5Ep*b!t&5$+q^=nq-zj-Wyz{du1D*b-G1_;B)Yh>i3Jh z7JS!hCz8mh|7=Mw(60$KDy5}M%sLZ^dwhZsVo?LJTz_I>9Vl$+gQ;n$1AF?|H*L?7 z!S|!{LG5^aoT!5{F0ilMkf+b#abcHZO4c>VtK(lU@}IPo4@f!-TV`t>41N@e>>PQ7*60HRXApHp$q}8llaJk2PQ`A! zTa4zk4I3cSUN|FYP#be8nIb~3jcPIO>WqF`?S!V3!+n#P3Lk6+%{Mpocj$e8YxEZg z@$Y1N)0~-(EDYcEwj+I0FMmO`)xL+d7DvHkWhQ*d==D z=6wBapO)xg00#z{jWOhUsskzZCwPWij?LpqtVP!J$qo0-3fOyBYZM%gO=_spL0o=G z2NU7P4!``uD$KngOr>TG`aT$fmJhk2QKp(a9q^)`Xc1{B(GYh{QAyp;yiZh=zeRlU zQdLWz$PMg;vab|+b%jXIrP)0E6}&qfaXzM@xvSQ@V=+n#GFxTT0}RsJr*XsTl1ZsO zh^9N3HNP&UTADKUmNU`MI%)lqm|>wTIVhoQXmWl?d5Z)8WXDPA-u>>i`(d$3Uvo}l zgBKKExgOMYl;4|=;gQ_|qpYY)9nc1u$)|LjC^c-TqzYpQt5Sl`s$uV2mD zM_jX0;su69A630x_S8Js7%N8}PL-Rtng|JUZWneEA)XBf{p zy|_s2iuh4H!@HFk<^QJrXW%H@Qmro_{eZj0#Lg>nLV3-Z+C(>kICPm3i4yh5wRUkqJW9ZHONbr? z09WtBu_Nj;I^|~vXBl6U*CFSoCbAj##CUl{0_3!4{^M!#T$*Wb4KgVJQqw5j_COhN zt8NY-pl<2`ynk9AmZw;Ok{_TBm^V|QOqJHuvaazcuoVv~;xk#+|0o0q2X>Z8-0)_o z)ZOngP1UC4F8!Ic0;l7S6QZ|KO$idG%XQMA2nthUJ@l+z-p+x{i*V)0HAm^QH-; zv?T97y%F7;Jy7BRD3jQSikcR0+FHRAxv3=b<6WPo-J=rE&5o)rg~OVWf+ObY0-@uT&gvD!W+`&zZLHtzqXI6gz;w0~@l|wAj#rV1qVm@z99GR*5wz`lVyOQNg zLUFuQo%-G|=LWrOD{fN>#%vah+}>!J8$29u@<@0lMEA2@zWZj8Wd3&n!6*Rl(Pxg){39z;5H*D%VVy z-!ei}bmFiYF6s*;Z&s$uu-eE%Jr9vOTI4;KJu6Zf9-pZezf>Rr`>yn98>GkL?N-Lni-yHNT~tl%IOEFijy)>Nf80CaYyO@%q>Q&| z_u`quGMSgI51^zZ!af8b;5Br12Q&z3%x`V9i7OE;t}WSBz0FhURhjoZYkYJ?K=rrJ z|N2l<`g~hh;DeC$GwDr0c$WzXh(n^~5Dz^T!GfrbuM!60!ONC+K!!S>5FIfKg^*l7 z!q1{dPv9gn>7Tll@hdRj6lgetIzOjiad|lk11wP>X#<0p(~`_*TUNhQlUrvc+oB+^ zu`TqoG<|R%{TP;IZo+n8q515<-hF^GBEog0(a3;C;V4SBtGofQ;%YY|L5ykq?W z9N$RNslEfZkLAB6cDVn-1t*(OD9l@mT?c;0AxP5RzNn!?9#yjsSua4!vea&UrRbu%u{`t5H$}}F? z2+I$M zy(KC-(GUIUn9%P#mbL z)eP#S=x{SXnDciuC+&#seef!`vxj9Ngo=qz;`ArM^VgHsFY5tX}lp*cYyXag!9U&0lmEnaeh zI!RF@dGOPSsF<71U#xt3*Rdq`)fWVvZtrwLy`iwpi?+^qT6fMDoLOH_6vWk_+|i;e zhtIl34-{DxM3z2DYs2ElmK>`&9&+X~&@q?-1#0YZa=qYaMTWMBAe8c*-d-vhz*6&t zy(!Ilta^rq*7h3<5sKK966xNX8kdK!t`F4p`ar)X87%xF4wURr-+#lBFtm#?w|o&& zwU`^77b?{HX;b2XnYw>vnI}f;LtAk`7J>|;V^nuWV9CG`i#cTrF?TnLh%mo)aL1;)*yC2f#2cqb^lWv$;#sH**BP%JlN9o?hadF4CiPi~ zJ|OGlQrI;b6ry5SXiS$o$Fetk1@ryTjTv}yw3m+57vgIjwdbxg8m~k z77rXPiI*lsYvb}{{k+=O91Ud(k3I`?fR!aVgA9Vd(j=I?W@v4UF;``-`I0GjuF5;y zv&vPN;V|Rz!eYm_(1Xf!Yt~st{`x}A$L~7me*&3erY4>Gz)MRSA|POXE9BPn>QH^` zwkr8mW*TxRHnpqKOZh$hh{1P0c>RhJoX@%x3(pm?eHV#dIweXF%&cL!}0>(x!vBHxtR9N7?PhH>(%Q96D2 z5uwP(g`EZ&lo#8#3@eW&z>o_|7L`!vWtpB%WHDhfTpclcV|ixRdthBvYHHcqt=$gv z_7@q;eb4f+sRW%F(y}(5!MAASErtjtI0P{ zMqV0iZmGS3+&3d4=>l?XRh@M@L}$GvM%6JX?k5Mp5@rOHB10cVf;IsZ3=H$f!om5i zn1Kd$gnpqC%JL~~#=~1`B~HR1V;jz#h0P&zl&+_Z|Ba@BFah?!_{0U0A+9)@zbTuu z2w07^8P6ghYR6h~7$cMdt=|h(=GXK(H?7wemJND4&c)r##qf7m@4)OW*)a~u+i7@f zzAE=4>>yTQRHx`;LeE+7RurUxn$WPF7u5*21|IXkozO71zt%-`wPdwRvhO}_LFePG}3tBc>B4V%fVzt4BGS0?!fNH?r zh;_GHrMNF?;ei1IQ{i{<=RO*DJ>rL{jR|gElBZF{#>joo!n@OA3=BX_W5%BJxTc?e ztaHB+=sdU|T6V#Ui(TdJ_vcgr_31)&T;NR)PP=VE|T)i;fY zuP6AinGQRTZ16R25KLYnMz0C3XKkaAaPG~;7*)7Fa_KTYC4|9++{mK~x3xz{cGN_F z%Hu6&j3|ZP{!c%0N!i8A6cQ`@hwZDp`yTe>tGp*u)42~p0$`jb?bc4G-J5xP%XMR< zfKz83o~Hke%EuGUgHhbRTIRmwk?wGAc@$)dO;~mJE~iFa?^qr$=R~1I8cUBKH0| za5C|!SlPAU_N!8Y(v8^t;M#$DuI~E|U(nCGc z+>6oCvUT)oDmOa-Zwmu^xf>$FNh!UPw-QnB!t5|~s&d#|(6jWJ)?XKA3eq@m_Bb>V zH7J*eIQ9C}-lHGNwH+^xq|V78qocWQ9v8BAD{xxddosl=1+`7Q*&dPA|S6_pEqYH^?|W65i2v;wEqnk~T9752!=fu;B`>6|!IvPqbK zzH`dz(ZU5N!I;plGC+zqhI9oI_JR?W@=xc@YF9>Xk*r2emT0bl4T^E8}<59w(PH5 zLuhD!Bw>UdMqY25`< z5dM!Xw3Yu$>2pQg{BW}c-uR4$TP39M+`ag?-bg&bcH4u@5`%J+q{nx<@fZ2Jj-t-T z#7GJ^(G2C*GU%%vk?k*;g=Co3xB57zDkMu_O1G#?tOU9~4o%T7Z-qhyrp{Aelt(uJ z#)6wC=o(CL7MehfD#enDE9Lx1*q{USi}y7B{!YJo6K)~YDg^^RTCa_m>|6_;0-fVR&6D$0X;2M5-} z+jH|bl1XMNC=Q*YFV`0XCaZVbJ}_S?EavJYTRovm_=L(NgA*NrS=+z$Ppi$}Sz}a} z|CJlTxIMuUWiADMlx$ZfSyfY-ZcZ!sUWhCeUP_ef(ptp0_CfuXFhk)tbp~iZy}(s2 zDk?2D5rJdpP2e_duRF74d*qVlA2U2D!XrebfY4jN|zFXG$JjafPjD~-5m-@cO%^h2qGzG~uS~2A<^*$F;0``7nQ~85 ze@&o+X_Oi^Za@vC)PIZ_6Zv6gSNdX_Br|Yrb;~!qIAYBR$Xzn0=~*9$$<(CfrT)BX z8jTptbv42N_;ZslHr}+vJ1W^8Kj`B})t1I^cG>h!9(BWYg~8%@#;)F=lU@YnES}+X zBfjv)wbQDr4fLy-I0@enltq!E)e3Kylrtuu;^vtaf8R$N+1rZ(lbEJc#9s(XUq*XP zhT{)0MzIJ^TJ)A0*_lk>UL9|+(*{Pgw>olr?F>#R4z5y>ueSEjME>wOn4eC-HJ_Hz z=wogR$>|nc8%)8fR_17$$k;pQebx4(Yf7Ldx-jhh`NBKS==Q`Vt3Bk9#cj32Wl~pD zj!j8>1E_A;)NH09Pv)cEu&{zX+U3Nr#muosW`T$~PA*MEsVKRN;_Foy^doT{N2p95*|8{!{yR6p(Gj0T}#VfDxPE;=qYfR zQjL%92`zQOV6fEIsJ)0v<-~EH?-`?NuP6KlBFcf*d~3+!>RQK-LWP~H-hjNqVi={W zDE(50Vtcrf$wkNM^s=zSt_R%)cQv0|u;9YVMSW#|pX-FCpVSN!>N*Ky@rc993X!zQcEY}h8TaVT8 z?c@909F2p+YZ@W9q1TdO(w*iYmsC{c-VkQtUKML!?y94{H5;W<-b%1P%IBhp)94w& z@@gO%Zo6mJt2BU@Xr>Ad@7(pOgC9thc)TfPFZZX9{Rkp>SQ(}b$W%KC(x#fP4tU-L;PKN!I0Au__4-L+%s4WQge}M{g_C^ntC;=5sLbb&c&710RJ9 zQ+{W~CM{sEpV_}KRMZeg+vx1idc_x0+oJ)f^q`NCm9z_7d$^RSVwjB_I9 z%$3`@{cXr|#&M@(=Z1cINW*&6tbs=FERkE^YqARxw&usJ+Ah7{YW;-bM#6R$)L+0$vm)Gb_dgL^kVB$|l2Oa)M>9l?C zZG#+(?2K``<(r7ZVmupgwG;9Es7kha*_DkI&5C`#)HKhgE&-4>J}X7c3TyiS5`?zW zM__vwsXt~pAIp(G;5{}F{NGKMwj|-@A1!s)XcS>^UVu#><~SW__eTH zO_9SseP=Mf>Hoe4%F;~v#~fPZ3Cx-Ut}n~wm(n?qm!&$Vz5b{qcVo{d^ePJP{2KN1 zmrUzdW@v9`T1b6MlzB z+J~qFq8RPL)6exLsw7{Y(=bx3D3WU7+H@y`SR{vH&1NqT$3$bUZ*(+}h(zU)djs{c z|7lUAk|U7q)rtDPe@Zo(_e)^k)!p_k;~p#ctnea%X+pddksqX~-@bXLRBSJiBKxlv zz^M2)a3&%xQ!X0QUPQqKL48>P*AcSSd+_N9e)|-ID75K zu~i+)%}1IwMcTN;KRTFbjtFX5z8J=UEZvcZ2y~PWn@$jI+xAxBImM8=Ep%9-o!2&P zJi+=4D}6FKxA01zni+|f;^0W^^?Ps}m1stvhwI1jUa3eAAcWmkEwyulpGNTO<-F-ox zVVEq;jBi*o5@2lk<)JXerbL(aC+)~)SZN#I`+Fz5i9N6yD4pw>-m%)_nDyUm9;G~@AE!z*W^ z5#4}XNA~I!gc^Z|^zsWg3E8>l!7P6b4U4rA77);R8fVY@558;yt++RybH7u#@vI~{ zugsH!no)CWodhzbsKQcZ>Znd;e*d9IVvA9Atg;sZ%YHV3-NHTrs)LSuI=J;L==5xy zC$mVcn!+17In*Zg@5rsD6e{*GdAI39#Lc$)(LPu2@jO_m_xRYhYAR6`2WU3qF|pmC z{H986(+|-sH8RsVf*o+AP3|x+P)ss^WfD8J6D9Xiz(xxRr0?*EMVjdL4G1=yi&`tf z)D#i(Y)Hi#W;-Li ztuL8l?Kt&Ua6w&%=;g!;wSR2pnQir(%!k%LFMB*d5Rm^@lN@elOK9jYQ|kI6NgI5U zyf!VWf&vt2pCeFY}{3kE^;@Vyxi$9KNa}7zZW&nYU0TGr{3%k0Bq?M_G3rFRT zm`Ca+c-K@!7(!Bi zb*GBo0yONu7GC{5H{B&duYIW;rQ7(`Te7n~7;S0T*g=Yh;ItX?a>q8=b^mpMUMd|8 zW8?VM!eyC^)=O~lZXVfeAxEgSH2Z#{e`-0lDRT3o zCM%1}rV@w7miRfo#fM|OZhXRTvNbiNJ$_0Z{;WkgsJJ}=WBE>@WXW6ctODT(q zF85bf6)^(OB<*r%5;~^!6F7*7qe^^P_GB$-=It^r|D!{$O=VR5#FD+W8DXch*_@)< z`fyiU!3X{asW*d$@H{HC+b&i6@}Z5qGVcMI0>T+vW_L^}d*g883j*1Hk}*;DO2)?D zE~XG07H4OuB5Alh$wIH%yCs|maCHa+=^B>gsCUh3aU__c6SH~~z$MMC^ZtmJF&$f@ z{n3fSfB>H!RsKA_XlfB`br8&0ga*Y`yO(`G$fW&w-F-3KMAl7NHwi=fvT{oqFquaG zRck&6)N|(20IMHK#N66q4v3(y>}069+0tF>cjJv`Wb{^W2iE*PnA=+DE|xOMr>o#v zyMf5NfQc`nU=P{diPzpjlY_J>{Shb;R!IWcH!Hf4w8d!T)c4ItA#{WK0a7PD+j5wLjO^jH$5Wn#|X9#6EVa^j-_GWuuxiGTa(@KzeRY z@kYJpRe$DFP^H)v!rf3%olftNkEd0W^JRUp1%Mn8#14?`trJ74%;XT*SG})1@{}=q z@AJBO<77W)-(uim_4T<4sC;BO%+CR4hcE}SqtM-Y?f5Hu))WK$$`ACT<+yHws|yGBkl0TkD8ZD?@`EgS%20AAhiU{`doUc2i-se zU;ZhjdVHnvlHic%_`PCl7_UOl)^2zH+ROAsEfDEg+4^8YO5(}__}Cf9Jm3VJ)q1&S z0)u?~P^~zq_TZdUNud30A)bNvlF&bmaF#&7t4bFHK&LtD{*NkdL)QMRG_9y*(eFZ` z>ZJ?gr8=>Qp?;3iG^<9>LdmtW2#~rVMmD4iUb(A%XZ0Ac`ND8IV10D0_`&{dGeN8C z!Jxsbi+0(6epXs{(HnyjcPx9pD04b{T)RI4 z)Q)`%*31uLohdd9wld^5_W_NddC<_&rI!8Pj9s`Z2A=q*et048nrkg4TH%`TOaFNV zazE)Ciy(R42x_&85kkyc73h9evW1ccT@Xy9^R+9zt$In}f9x`8-Lh*-shiKr(wX&Y zOOcNVw8QCu_e3E1m)g-y9?8C-#~4ACMC2p;tc> zqGcYu1~j;^B3!ROeWhJ2^tu8B68Tymh--5*&xpml+w?j#Vs@;o8+uxzVPdu3P$@|I z@c^Ae*KYQR@{ivBltS&^$P#}K=haaZ1t=}omUp4yibHc;NaH+3mFP{}2-jdXUc=?) zNbl|2m;_Q|08A~ss2aut#-DyCF~el$N9u%z`R~Pq(IMGHBW#&QIO<9zOivG!dL0LL z!(MD%L-DxTkmf_-)aXmf(`6oo4O(VY(U=30ooP#)WVFv5OT0;cbhjSzYqy>>lx_%A zixTkKBGj7lH(aJtX1E4$3wZUnO_Qv{F@F*#2dO>wpql=o{qyu0Gy|S93?LPC5tXu6 z{^Fd8s||1Jx_9MNgO|N7_bfqUeKxAHM!kCyluVU5n?;E>Bm;8LpuXyllD&gE5RjWSjf_FT!#%eSU6-rf7s|Ee-vBbnOs>3%4flZ8qq#9U~V_mKDI+rgVZrg*J{jK%kiG|Qzf^v8X#k`z}UDLIx@4lMXhLdV(-`tcT zFzqn>ex+P`fFvh!-PK8Qk*Vyq#?R{@G8bw#Rv)fyKF@m1ys;IqIEv+$Pi%wZMbCxn z$0o-M97IsBW=yL17Q9`l7;k}^?&lp)E6|wYIXVbG%(F5@29o-aMKOY=iR?Xakise; zZHnvabFUfcCa(N4;&Ip>@>J|*TV>tin4Dzxzbd&Pi2%1_#_sy&XMRUw?cw}5ih{$pPOKr{+EVAHL zma8G&Z!(^?(|!GeR;2YuWCSSp5S7&Ghj0ECq0p9vGYRr+x?)TB!I1&hBnnh;`ySIn6a(1(H@dW&1^6opR9^%qHL_PuFsTP^)s_ad3q7>1R8thIt@8 z4h;2PibV!YvzIlI2^y7nt|+Y=2}|H@-*TxzZKogiH_+*m4b(BRkBltgja*ROUKbr| zTqwV0@VP z_=j=ZPEX+6%%P^aM$5&d$(1i}g6m5*)68EDpTT|m%TaJ_m**!Y8D2}sXN~2ui+`G| zTgQ@%GZ`K*cTjoOS@x%&ek$IxI*1K24o{`Oh!;QBy}hMtByal+c9_b$WI5h+bZ4rF z;bME#7@TGRXODQ}1WpW$>CrwkQIN}_txbD_v`K;HG~-rfJ_V8p>o~}=TY5M~$A1OE zwC)P-9;gxeGJ*G@pDm7fej@We@#Ze0SKc!dduuk*m1i0tkqq|hrGYG>yT8;}p z_e~35;Nu@}YHktphQi8>mrcPG5T>UwzgX}_mpIem4O&;f_<=0VYH1IP6SpVhW4PJ4 zj3!-}f_1j%AM-hCKLO&UpGO>80LS*~8q+5hXgAWAiR5Vo|jOdZmT8$%>}Nk(3w{z##}u4^z%IFrg0V&f2GkH%O!Ag(s#EL{o6MwvmQ%* zoU8Dr9`4Y-lG6N!mW=iMws=XKshN~50^4CC)HzK@gD_c0AxG=}Kp+ij9e}?@P!X9| zn0}V@djH9X0B6Vl=&^lt1$&}bb|?wc?Y%9N%~!G7MzWJ}5y@wJDzfAt@p)3t)yL2f zVvR5e@hxkke&nl4cUBV6)Yu$)YGi9M8$|N6Fv9}j^xGqm&HGMVj_}*pRfs$)M4-U! zk7MV+D_heNG47z?=k>f+y{F2=rwgqA`)UAGh-wGE+ZDxG4yv)-8 z{vQIMAax|f^=o;iO&B=kTMoOhRENxf zCA0Pt_+Lz1sNi*Q5G)r9lH~TkT&ZO$!SOY{#+k;zn98u((Z35IE29*B+vsE|`uClD zi__K9;tzDI-OdWd0%Wl$ya-W{K@f1J+cxP1ATxbh36l&PV>srtuX{CiTQ7>Yvvi11 zKbp)7Er;8-+Lwf<8W(9?@dHf*9*^Bo#+a}1?7L`jUtU3ia z@cH)VF`s36V@$UWluBD&nPC$(w#B95K2wf{uhQM=y5zn`(>QzvZjGJs-yG9*zo9ZN7$suocJ zN*EevJJCKU?0;JI+Ox4uF}R!{78A>qR##O9w+`u!CQ^d)l1EK{Abo!f(#G+5mDx0> zrXqA#HO7jO?#SOE6Yi*?dlFo6pCcDPwxKO>{EEyXb#6eE#hkP)F-`v6LlX zL#?;CxNg>BzTv=CsC_L3_`HP3v`Ffb1?S%co&Eo)ycvIgy}-Jhcb~psFF^P!X!J8E zK}NQtcVi(#O#^nuL~^C}_?!_Wi%#e3B~Qwg)GhBsUah!|{WZ1h%%N_6^MyA)eaa`5 zJOeC4K8Gv@AhJzW&+c%n01FaTNc9zh(Q4^m3e>TlZTf|h5$n^H8CP{*(H=(ad2pa* z>*F@D0^Q!Mh3z)G#Dxy8jy{u)!WVFP2y2_{4{(kN$V$LQvw>(W)~OHvfiIr%6EVkF zZ}_ql0u2Kl$KQ%svIH?8QKrAYoG4CP-h$P<$xXmH@#zq3zgKEX`Vjw1a1pa`*K#l5 z#Gt>$aCEfX07~_41rO&(-_d+X8DJOBs$LGs#>d7tni|=fgJtX)IKSY1@e3sc6{;;i z^LLGjQ(d)XJvaWo=JtGt?iHw7vDbqh%1!j}nv)CaR=c@U3Ez48h<{F{Y~+yEcEPpq z0upR9g8KRJ!vJ+xFU}`Nq7~!!zrkTp;2^&Ezh6y;uY^VA;8a_bj=g8xSi5V6{9%=1 z6}4BY>r7Xk5QM*hug;x_TfLf9ywRWeP z&rH+g7oQboUxi}y)%8YD=$KsF@_m;9WoLQ(R6Z%zuLx>iPH4yUpgFBgbGorVodE^D zxJ;jTOuncifIc6a-MirGuJ19*Ly3B3%W7S{2gXf(yP5W%7aj^98GHJKGhCN)MuYPg zE-pnV)H&-blgkLO7%_euuYI3GNI74_lnql zzhvdQW0l+@`!f-igyJuZ#g(iEkW`$kxZ39({Qn>;ub)H(P5$3b4Sx%DT(EN{GJ+ji zfK`zC@c-;+d&6sPU9cL0=6GUth7E+QRA*h@0CS()BHOEo-X*6p9v)al(n{|5yJK9m zvUC|4Q0`&B(y26*v)luYY3UlCA5O_tT{YfQCmiqr`Ok97-M0_U2MgsmfyQHYzA?*M zCPL?aS#{z(ZQ`O<9^|X(dS?5@;+^)5HDHxX|0_YpfhAcn@HSIi_qofsFDwxX1FF%0 zFV|aQiXk}qs|*2UsdlSJxSZok`$ONmtsJ+R!dhmu*jIFTi3+F~JwRo<1Wyk_F&e

4cZRbr8L%maBMOsrQosuudux;Dg{Q*~CO!?286tj1DU^p%$n+1UeFZ3Ak6|zySNd zpQXL*CA^cGhbu)+SWN63VfJ)Ropql!eDCHYuBfX_C9=-4_5Bt@ZDO7xh7gIFI&jo> zeq5sj0;}RQ-7?l#7J|ph-|UIcwm0n{e`sammpRCvY6{X{tpBefG&|9L`q%04DyDdl zwP!JEW(RfA<(Uf0=_DFms`~%!Y;8`?)KioHa=4c9Sa63p(D6u;^aT1To|rY9y0z=U zFMGu&AevHM*7X2*0WxcWE$i_ncp;!N0)uI`QG9WA?|O6ER#oos8ewNtZ+ltOk49WC zgVTI|gjf&WWRSk?r3m8}PBF{FO9NUePRskzh0^A9?hE>e9m22mww<@PF~TUl-P*LO z;zJNZL|l3t;sQvvtGD;BVv`lf<`$-1O?wIoU%GF&?|utUKgnmjEmeFUAu64a&~+pK z(au4kz8B0In2oIW#CT zB*kJV>u6+ae-2FI;DeOBHO|_St3U&Lk>sUno7aVg);Imx-WO> z@Z9j)I2J?VHRvT_2IBkE6ycouwhq6CKiG*lFm_>fqtH(X0+;Gr=sS4cvL>T8}j+>@~y@$BGz z_J#0)UCuMEJ!E99i4-=8$s*e0%F_i`5wk5DW^!Jav|}gJ7tViO+Sa4$2M1-KG&d7J zRA!$K?+KgsG^9S+NWp9L37lXf+D^H0V-y_wqK~1u79_uPaouK~EvIIf1WtT@o)|O| zV=DYD6uZ7eEkNvt$TR)~beY~vo$v}1^5Y0=J(*3QYnqpBd=&FLX`;OCWhRii5K`x~I>d&Y& zi35Xu_HC1fFl_GI!ec49dkKH$_or*jDldL_usju_(wld)oaO%cXD(0UG2iUpfEX=5 z>u-U+(f)3}oDv$9WVNKV^2>^9{t}`sp%DoqotyXBtotU(21mDiKD;jLle)1v-x)5O zl^cOT%0qAV9no%jIi|Q+N_y@W37Y#nYeVBTl;41raF-5eSWUQ+8>&CFVG~r<=5EqP zqWmVyEkF8j(#DSZJR1eu?}2vy12qY>Ur7fmN_w{sCuDUIytQ+*kq|PQoDoGC=5z%| ziS=Q1D8A5;Tb8v$t+Gyc`*$r~W<5oWM4j8h^I;Up!nVkd>oOzaQXdNq(pRQ<03&GHq4vmy?lg~iL z*UI+6AyX8TOZ=Ti6)DPWSIyz?-^ou=VT__je34|jme8o7uiaa0c0q#a0}@RK%!Wv- zU-hA*iENNLb=eoMOhqVIC@@|ONS|nbQ}WUg8mcnpw&F|9^ z-}b^yvh^6;ytS_ghnOPw*}YK3eRDiW-EJjI)Pl|ZwQ{d0-m?4NO6v_g%y2T(PMAk8 z3R})yF~j{sO4OSh$7G$xvKeYfwb0q#Ds3M7)wNFMyrF;oe1`h>GC3zB$$&I@k!&c_ zesUtELPaeot(LIduYX!Ain{sRW9>2!D>TaMxe3P{Q6wVd#KDv6A~K}OF}M5W$9{Y) zDKc@LsmV3>Lk*{oCgV>{U4@#c<&5|(*&XNXEriQ=Gcn>9lDBQ2th_~jhVeJJS9ts> zQ!S>r3s3MNLT|0yQN|ugwFTLt!j`au4daT-mymg0?)lBXnt>YSL?03&ROx<55c@mw zs4-7$&Box<68>jG;!ba@TGrUBSv!k+7g5aOMOmH|%@B@w#Y!!aQBcop!q3bpCORQ-~!kjEI2^LW9>10^3^7uyvWzhFd8-B)lAHlT0@+? z3i($HaOJ{H;+yy5C+EvdvWGDn5C~r>M{`~AOq63C*%jSvW_S7{EI0_j&-|@9`zc4l zfI8n3L*v4Y-k35wj>pj%%c-NYW+(S3v5^?BUy%K^R)Ij|yX-LHQm%ZnT~(XI-U&Ws zkh@e5TwkK2p=~*??0Nm}4f<#aqgzD*IYe_gP>MO>h=Nb8lx(!rS?#aR?V;)Z%K9Fs zo2`>k(&vdv`FmO0*UQAi1L=#k*Uw(tGp4hY+WSv<(E-D`CUD#e3V^1 z70^+C@|26DvBH|3Vd?&BIy4;Abwh7AUprmh)nRDaEhxzz|J(S6j`8s*5U6&VoXL1* ze&6bHYG{sxRz5xeP)&W;aEs0bX-mj2E9A?zCVHq5?Ngpw#F?*1oJ&MV*KN9w1E~H? z{?=WlU`T~r@_ha=Ihz>+A#KWw`XE$1TK}5J)%XM(_Lt{}M2^LDl{>jp#nqEd`pHK7 zFSE#_1je8IPJUa(9=ob?9~~%>=kTM7@Dn|vdEO>hHa)o{E-Hxt83UK0m?$X}hUK@i z^cq>I-r`nM+}WAI8KuJ}#_ zgx%J7Bdu={kqyk^Y7naCi>xa0v7D1fz&ihIOyGZRuvW&1T2FhrsrL->TIGG>6kkxW zxc})prPJXKVWESP$ZhVR)#qy`I)|&6enL1oi?2$Ua`^20cj;`CKT!*|b+#{@H8Mks zJ~kdF1UgZdPi&MtfT%j+dvlSY(-hJJ)PX#qJcDIwk*T zR6t{Hu3J=h84nl{W@WC|{K4fX$j20!8uqIDkC-+8a#8+X)o$iAvKo*<*vW{}@O?|c zFjwhB+2h2ED07bgl$jB2aLW0c%tueKS`asHi&IJY``uxmA4em-y4N$`SW10j)vn_(gi2YR}-bu^`;32^sH)Ek?GS< znJB!1uQzAYB9JReP2t$!mCDpnn-ee=o-k3MK}0(lX-cnST`Nw9BXo@bojhD8lv1)~ zt&R)ZU}kEvUbYu|sDGV+kb<`D*KZRkm&2o-Pv@SDy;D0*wvY^`_Uj4tebZ~quIUAM z9~>TYqjT+|VaDsv;iXThu@O_# zc9x%o4D5RTwi10(|0Cv=X3{KjvV+PKPFgtU>>w7)?`mrfI%kUYOq|F$t+@*a-4GZj zNNTLY*|(|KxirQK)^POw7KPW>FWp?ns9%PKi4K8&PP_Ex{ip|$+x^mVa)1HBeuf^v zwmSH6AMEe{YN{OH$C5^f9MJ45*&~diXD_inUDH*-F!QueUdGK^`tH^Tn^Smyp+^ zHVgn83B6Yh${}Joc(TVcvzsz7Y{e170JyS(X>6 zodDYWZ*}4Rt?tOk$k@p%G=LZ%zlY;;qsu)_{e|!B@+!c*#5mvCp?6^Sq)7GR^a(n^ z`^;Uw(O7i1Xm@%WXMF@?HZSDSciqqHy3}f-CR!2sKjbkKZZ1tLLS8d1M)pZ52$?R* z@1Thb$x7o+6wAVWw0P7&W~==xGf~mNho9|BNc^8S^1=^6^W?|eV&S^R#z8?u>Q6Xo zG5z~-bDkW9xXq=7X(i`i=vxuN<&!^P5^sAYgqVEtr}{!SsY(VHcOKL-tY7%o>`-mRJ&85@Mjov_)6v~i6aFr;86-lng0XcHf9UTo#3xBi zC-{pkYtlQGV~1Pt_V#?w=GE-1Nop*vk%W&5Fu5fQ`};p4cvM8s4^&g1K+j3ch{tfe zCzLszSutC4W<*2;Ndni6ksv3BCu~l&8>o>Ig#LfRy=#Weha+(M0a>IredX@_NhYwQ zP(a8Dd&PLyU0vMzg45DUEmpnI>abo0U?DRrtDvML`uFdgjc~WfKpJqvmMA$%NJtL0 z#vh4nHx)$9B3`^G=ZQT&)2grMQ8e2@hty5Hel(eS?CF0|OUBZK{Y#Pl>u-POQxQr* z5Xv^EEJ%GZ^xE(hB1bJAYTiybu6Gx--RV5Vys+T=ZFPF!(xP}c@&3UPN%1^)HZ?AB zg~tcmnFlZ%!XTT_%;QSsH3=*LR>8i*HIj9%45fJ=861r6aJ-Hb(s``Zl`A4mjs>oI zbf>B%Y3G=`F|pJ9KKbTkteK6c({#ue=Po-6B?!m;Hi*gSWiV} z?2T{jJ2P&8;DMSY5@Y_tHo%m2TG_{s*dj1sV?RmrBy>LQfyom2!_j{ZZ72f4*i27V6?VOruOreTrSp<5Pu2?;JSyYs# z+l~!JY(FqCFm}<28(WRzxqlS`7EbelP?Of##3gLgzOfW~M!DG5@gY$o6LxvFcO*h&&ln4c*;nySuw%d0O|KoSgc~Ek9XpjG%38 zZMF6E;L@<&m@AtV{f)RF<)LM28shh;MQ3K-(f9p4-Xz*rXKG_u2%G;PZA~W{!Dis= z&)|tlq@&1xdP4&uUA0)Ns3K`;l35cIa*WG3GSwe%TNzOqSqqYQxAB;2%zbiT_wGbv z!>GL7lY;b-uiY!`<(-YuO8&Y98y9aJM*T;WU@rLa_K!}tT35j1u9;0QzemsNW@c&z z4%MwU5I{d}l{+H*mNIncfQ}1hMM<{Q)YJ$^m*-D;pJIPn!Emcc%IXXC6@`>GgwM@6 zkf7i()km`#c?J(=EiEn8xx9AOrEFQe=+zKVQ<8#;3Zco%oA7xvo#7N@FqloZA^>8; zHo?cnhNG^oK31TI;_mLQX=H=~UIObd+|kjo{cp~&)&EV}BO;=J`02{T>V~BPRBwpViQ%7W)=I7@_$CG)0@2juh=KC5+_(}N5S?>2h zVhQz2o}{n>vyBpdR8-U%Ls#4F886Vo`e=I=gNutRkc^+S@KdjMaj`WC)lK)`B;l5T zSznkEBjur^sR`K*__34p8l8eet$7gd=gkNf%;}KPCv&v=^03BS=boUP-eX~Ac02Y8 z5N)Gx`sOvcLwWQEOcvpH>U<^^-FbFO-Ny~*4b7#DOZVNfvl*tQrZDmFd_dFfxt1WJ zy!`w(pw0Q*)>d$AY%I6v%{9zIK}fYYPhsouupRVKF1^@(of=0VY+T{4Hrnu!a^<(Q z(0e&;ebN=O3J-gPZO!=wsvT|zRDb{288uN{T--A2NwSHDe_5S##m8M8(h#nYlw`4->h(d!}jwG78bI8LRX6j zAhR`PKe2Df@N2h9i5BQ=CeWHRTIE8*K4R(>F({%bS{hu1E>lPzDQY$^i73ByNi=W% zPI2dOR54#0{_*3->&qwLCi=RWYR7z?R&-AvpT?09TuDjEs26(3-@l*Wqr!%i^sFPG z`6iq;eB98`khik|&uM*zI$@BhQxt)I7F8lF!fRdhG18+dtEdmlFOBfUK62={$N;xb z24#;gh(Fy=5JbhoWm58|5|7NI8Fs67Au-7vCDi##-`CrMzv5ldCoSXc9vcWgyDp*r z221)y0Tywb+XhCX`MN$P`J#sQW>o*l?6tAGpP%28a+p-0UWI6DYa7dHeostH44>cS zm40tLnvs#wn-@2j(9hGTeLIPaZ{EBaEBu5ZnZOxLJ&z^O`ZP&7EHqL$fzRe-Cpm=0 zdR_Ljp&>GfUq<=?x6|H(cuy}B5+7(BD=SOO7)Fa$OCSL=2L~Rv3!NGZjg@SM1z~!h{BZKbKxO>18rnUEvjI@9*5W5F!GIoxRjcsj+mMdLfYijsn zdX zym$b*==%EkeGLdeVN@-HfEE1*_}$$&+|OW-klA^j5Rg#`PWnsZ$WMl-4u<>+% zb$)%_UnGRIzP=ugJXG{{cHJ|wRAxIm{HM=u<{Its-MiEN{Qh0n+zkJBqPP(>dCzyb zbnx`_tZQ#a0{%~+6{f=(nvG@O1YJX%chOgnw2ck>NUjEkj*iaeL@`R|52n^|>JQAO zGq2h@J5fkrO$pQLGt*RNCnsb6z45`nH-hb22O531w6rKzJFvkfnv^sc*oA*69iqbT~3$ricF@J zZwK){GAGBxYZ`Ekv(1qk(K-X+pR=)^Z-5`0n9y$UM1oG0vy$?=pn|^l(Dij>k|5Z3 zA3rfIy#jVMemilp7OM4!MwFQspOVhOhIC#p+UUc7$zo+j2bnlU}J!G=h6aJeTeXvo@NRmm1A>CQ z3JY1gy1L9R&#a00obWNo_&hy4JZ>i`4IR3+7GblI!0$>5*k;sA18m@}?~GLT{lBNY z6BBa>`w#Y%ttqauiVAW71nB7KKv26i>?Ce^snV-Z3K30x{T35v*aRkVXtLb!o0;;i zE{QCST2f%9Fx-{TQT6NV`^d?~^#*|1t%b;907@hxBs4cwZn<1>2=>Z9Q~h;ks@oEG z8%0o1@XJ&g)~wS$T2fL{p4FQ4e>RHmgO5t3HRvvTlJ8d_T98!PuE^zEoPoGdZ!ydAya(Vd-fQ{V=`CRZ|!dp4SP(CUu3h~x)E^!0y5KMkRbHdi&jlzC}hd{v8Pk4sNNk-~adedv~u- z1Up@8rpg}Lmv}!%tY9c!M ztU7?*b4yDP2nYxg7hzu;Yq$dda9dj&cm&w;USJmitGzRB*{8Q#KDr#t^u=B$6Eiz| z3&1mG*DEJLymZzE{(SuS5tEw~_8_S^7!K3YW&j)>8;iQd;h`tD>oz2TgNxe$TtP}o z%E{5BDT_`ED(nf%9T6Yp9-B=>I=W1UPT`^NRqG>UFLV*(c^$ny5HK2shjEBFOqzbZ@c?t=X};L9 zn=b>KXG+9SA@Wc}5_gy>&hP?38yqs5tK6<>1PjBW)$kxoxfuEHWGOHuHcLQ-`bI{C zg@s#)M&r1xX@UDvz)1J?^|W3edR}#Xbv~?oywo0!55~bGDKzBt7!Pl8Z@JS9+_r%1+yN!6dv+(j9Hj?f-FBH7KYDZhAoq7bAErEC`&vcd#cQ5@7 zSc*CkGUo?eT;&`&JfO#z18}C4RRHt^-oO7Fv;laWc9SpG;Wyv3Q@i2p?X@+(Z{ILs zFLONF{2CgH<&92)%*4d>7zYQ5Bpmitqwly7VPdu8@xplFCsWn!mF^gPPO~Sl-+ll7 zJ%B?5z<&V9XZw5?8s;zQB_rbx_X@c_c?a$$#0NZ0@vN`HU0`_-e*)9HE%o~ChB!YMlk+}h-d~=eOjeV zZYclkeY7VasA50xaB(eKu#+6fK_Cl$02y2anu+OjcCG8R3ne9GRbvxus)rumBKweU zERQYvBWg)cA@X{FSXj8Y^7^MR1OO&TL_`D_-CTngN}2iM!?WXUrjOc5>!D#`4Zq)o z)Ba^-pr>zY@_V$wg@YBE_Yf7|4SZvTiYmEGdFW`a1}_LK=l)h60^gl)HZK6A*%}0pD&(9x7#DNZ?cJN19TKeSbd>ak|d_T+!M?~PbdwBdqBhpujb3Hv#yisxi=m~}oTVgEAraf_fI#wUu4i(kXGpq{R- zCk*R!yuH1B{r$0@VPeU34yJy{HyUN!94|z8_wF73%g>m6Cv*3m4u=)epmgInbn==2 zr4Gry-z*9((`{V{n`Uo3uSaz?@4(<7U2IZeULGb02l9%Fbe|?f!!)=bbW6ZE3cr02 z>YjjMHXWVH*(V?@NF?y7mAw{{WdKMBn1q_DDy{SE)nW+$Lih*1=f~=>xA;ag-K~9E zQWC!e&eqa69 zuU`;gp?J&y-#r0#gP)z_Syw@I^_qd>Bkg>AK&Tr)to1EEUcL7@3}(}wYTvM-G&nJF z@kW4vAm+Jj>4{BBB3CW9fCu4OPO6pA_Q(cFnwOUsaHNkpv4BZ)TR|aobaX&L27eS) zRDP82`uP(2fKfc5qWaTe4N}K*i;EuW)ecYD*-PTXZXAVR^NmN9x*r}M?g8M5{N>Ao zATK8{e}F07htymiO`iFR9Q3@8Vop5B#|9SS1sZ$R!Jvf0c;Y3H{REYj2|+-H!;OwL z+>i^@Hv@w;jvNI=MPFbTfYvU6_~sB4{eT}r+W&&xV!(Vg50>6W>HMn&fcEbk9Wj!C zq}#WM2+-*T3xo@h*YDmT0RRW9>G|^~0brGyAl_C{nKX2MBRbS~2<^Xrb#*mXWzP!0 zklKovoV>odwKe&D3_HXPaG8PYXGtwUqq+C&*|W5Eg?zAMKg!BB0h?g4+nKYC3ceW@ z&CL?01p;0$Ka?(0X0=OBI#nC+gXvM|&o~O8%49r*x99qtmf6@afL;CfO!ENR4;?Q| z?aPmj8`yyU39vhvg99D;{JOH}6Lq9m$*HK|(X6fU35rD&CQb19oH&JpiID&+NKBSu zwb&S8h~=_;Si@mT&dG_NZeRdr`Vlv-)N`;EKO26o1A%+B!|}@bGlx|`B)tH+diwl1 z()jpzTYLK(2M2BoOUuxNgpke6O|eoC(Kq+R@vs`Xk$ECS7U3dXvO>%h2cF-TPG4pet)IiG#+3F9%o0`++xW;erUKYeV2XU#n+6Z z;VRVp%EPOiOEr>V@%$M!EJOgY9N2Zio10&jR#wOI?89qgplO0iCGRwbWZp!D zK#R*Dg9SuvwqPg0e8hZ-Gfx)UOXkd6IAO&i_pGAtAgF>e@cMVwZN=nsIxxZUI$E_x z8t3E{7vpfths!vSSX&DIkZg(Kutya>+(ze8nn64)i5G5d9QybHiXSx7`TgZ4k2TU{ z@C7_*%?cVzGw63k!99O|rSidg75K&|o@2VH3TvWpeqs+L)@O;C5#_*MW0!_Nk`<+U zulbb&&+$F?-N|@C&XZPygU#{#DkWc*&z~7S-kPZnD7VyK95Hs~Jb2L{;mA5xWc(Di z4Rqk&YR5X`2WT*P&uLj<$Hvvxh45b?GB7Z}G?V^H7??;|t^gg$d^-dl*>b0wnS#@5 z_&(7`-{|;XClXGsE6+{dKGW%rPMBL*Ah-Jc45n`_@|{4)-(kr+b0LM#5YcVgehr7*NV$<6`pw`MKE1XW%0m3*}gO z#K!v5-s{Ao_q{5beeks7k@iB9AJDjg{tt`gl2$&0Ho`FaA)_JabRGZv_n(vWgtYRq z$I+fl=m?3k5XV^Ved^zTPA|G9K(;iF)%>M=Zyd6Lq=ICSgn%|O7_-~h4}+b43y>kCV;Mp#nQI>4!=m6zN7KV*GnP#kU0 zEeQmY5FilTC4u1X7MuhR?#>2xcL@ZC;10pvT^0%My12vQ4vQ>sC+~M}eLrp$MZwln zvpX|8r~8~fPxm>cWE8%C^G&b@N4);>2Tm!B%=|4enCI=tAOY|d#Nm_Abv)mch#=;D z8D8l7%T~x0n-5*7+!VTNyj_MfK${p)xyC5ptiZ|UdZKf**!*Et&vRn5@B1E)_~}SS zh(G=T3nIJl!#m(um_Sh49m@#MII-cWHhA4qXGsBs2nz(RO!r@-pult3LM<>9r)t6; z2)Z`z)j%PYG98PnNgjpB?ED{sL*U=Z5Ols!K7o3@oPzV)M+>amW(1p#geg; zO>Pt;`mWu|ZWzEfAp0F@EkMNM@q)7o;m;5a3pu{$L+5-i(cAkOH+;>4Op~`+`s;XE zuJ~+j*=LOCNSTDRbp&%RZFm#U8A^cc3M`R#8E8RS!-q6r+b}a@7%dh_BQJhp%!Dtf8 zTdh3o!?+i0k*7XP&wCuVLHPy_<6J-TyFqGP*i;So6r6?c8x!ZOJXZSP4-wKsU72aD zJVfcgBH94E=S+~Yu-Fy*WXU8jJ7L)`qng_1Y2eRtjqnMLL9{Ky%S|>#hQ!XQpIAcm z?44Ju$T9a&|74?3Br)G}F{M|%K8SL!h?6Jlhqfw($$~RF#xd`&Xs@oWEaKan30b{( zu>SPenL`La4-CE~2|4h;mU5f`m%aj!wRD*+x)!o=a?MQ|EcvHMBjU!o?)+zuwAa)5 zYw6i_OfK5}ls#T^ikbKXJBTAY!g`o50`6m5>CkbD6I)+Yg1!jwv22DYv2pN{wEGn+ zIisxa3x*yAUWfWUMwrf@>;|W>gVgxBITe6%;@(8pJAH4ySM+$kpPbUQ&f6~$)NNL~ zN4}EfIuGA72V1YXB3*XqMusFQx3oedanMH(H)3;nsuD=v;qH>SW#)o`o@m3?MR2imYUUyH$qO1!fi(=5+=~Z z1>LN`j?my;Qgz19C^5O2s(N3FPyA%AYSE>WE>9bwO{Dk4$`7f35>mVQzrk#RzyqBp zr8&0`A`C!XWwNIUrvu+A%7?^xb+Dm$;ST?-$GnJkXrpha+B8x3bwtl%9LD?97<5&@ z@o|_PNPsvpv83`4sd<4K&gziMeZ}w6x8Mj}^V$SRnZ`fAb5S#o`^CpG{ia`JQfVAR zfKzcfOt$y_($FnM>276MMacdX z?loc+rOcvWZ`~%ug0T_!8%_eWNK{6yo=rH_g3eaJ2O1@5=Ya2To7hawSbl)6`Ufae zWvikxHjOv~IY{~4az}UqQ6uGs#GeTz1ccfGh3;-mxo62#Z#|m#q&UhpIv=q_)YJ;P zvyALnNrlm*B+XoYK6s^BXW%hPb%!U-j)AQ**`2f+y8%jF+K#5At5xI1szoYe?c+tOhnv0X6TX|7>Oc+S@$HbXHVVLqhNpJVw;;I{UQTK4!FENTz=1#vh## z*mxS~AOU-^Qnv1S27TM8d3(uZVg}vB!vi6F`CA+G+q*m!m44b~mhZ&Z`?8rzVEn-V zP-rz8ZFI|TMC7u-U}2zmf`kDZRg6ih1TI#uk@Q#2F(Rc>%aWc4Q7JdjCYGMTb%DM; z)R3I?Rft+sly_F*H2yejd;#pV7JP)9qne4j$k z27VlAFGC{_D+E4-p#UT2_ogcpf7829`yQLKJ-Jd4w@22kvn}U2=|W1Cny`Nd^{}^! z%1gdg&^LRo_2vV%4oxaaz0zN3?EhTqTZs5@qVn3|ZCJHi5o?1^)Zb#Mam+d|@{91l z^A5aN{U^OtLV{%09M}{6;;8hJDIyYj$l+11wic&N5IVgozg$^WhRz!Et9g)$yh+ix z9&g6R4mGSO4U-UylnJjyC`oXgtR^4$Dr0y;P6a;$eYTOx7m@rHv?{5kap}`P1u1Ij zZzG5en2y$42M)Q78#Y;+f$TwKZsZWn6_bdyu@pz~I%3@K0h{PYY2u?@}nNS!b9eTTjl^Gmtsp6b z;|`?Iy-A3R33p%gSJuqcd@#BAHPjwBOOIf81z?nVoY?q4_7}`7t_BZUr&~Axh_XOb z881Dp^C?jt&>1(Jxk+J0Q!g7`@16GP%Eo@9s8B{pPfB%s9q>5HnAMA^dT-a*z}%0+{}6i%dPx( zYkx_@t2YiUY#kqM-aj?DeMqtq6xH*2;o*Ant3#KOWh;;(=BbdSeh<1bFgV=PD8F@n zxhj0t|1<5E5Eum^CNm`x2TU3;{%G*A(DYA|Gm6*6lfk>w>H5C@Vp-=XCC$E)nh;6B zo|;kcmW>^LjpK!Z%`z^kFhK|m<=SJ*$C8SHnv{m=&T#Sy!?OPIu*SjRoP+v>1>LtQ zPVTOi^^5WJk%1u*JMniNc3zcrfW@k%ypAP14X0xD%@;!@Ruj{br;8(dafU?eClcYY zlmI~*rY|~ORP0Z~OE4i9V!`m~r9`pTpU4R047D5J+rNRy5j@%jN`GA!gFqOXT|&{P{wfIq$~TC3Hi#4*TD9ns!kU?6j@~ zk6K)N3&;{x-Ov+A5D_Zw?ziSs9GmP`@S5G-_omzF@2?M{QsRVy>#o3%RelV_bMTtW z)@m+!9XChkLl26`Ro3QUz>Z~XLP8|Tb0ZyjW>i%tfwa|?6j{x42|%w->orWc_Yagh zZPmx82I?hb;Ws@~WL)cowjF&HVp0^i;ic_sFsXNvpkeuco;siBM;M_gr3aCAqm_Sx zA$=R9*}8u2`QDHDZP;H8o*_c*G2~4LJAnwTQp4XFtU@Q|L2FD%Tl2@#fAe=c3(9eQ z2-grL%ZFEq(=(O*IB8CMVEZz_u7;deB}>_T%K(aJY)1Wa_luW>Cz4wSTW;GpxVeS) zmh&m*#^3anrJo(epb!)<3L2`&JF4=ki#?KMbcLY0_}4CGiyHhLDDkUjn#_Bebctl` zfhbCYpFiXFi0Xd`m(otcReZ5NcSxSsJVI)w2PFH>dbzd&@Yn?PUyNDvst=snZk-tFq)E#DiURoca=5H06`v*Ny+@I>4UnNZZyCBXY6p`Ui<`J z!mpmi0D^?Eg#sc2z7>)=Ev69v+50pm$#|O&=`o?eisTxo(9M0HsDAD?V)^iS|Lx9q zBo6{}qr1=S?@s2iq)vN{H!D055Vq95O{m2^L%|7?6=9Ce0Kh9P*=(2_aZ$TK`a^V` zFf)@Q6>e5To`s>RD{cPgDNXNx2gNSI-zO!8U|2b27v}g;xo(~%NEt*%?SII8*-zqX zzq#Q!pH}~OoAmyd%y`e#R`mJwLLq{m3uC+;KOLIytHg|pOLs{j^oM>Cv9Gu_Q{Sbf z$9rP*y*8YgN!u4KjYPS<{}yZ;0a^3BJypxl+WB>r332m>5Zcz$oNSGVV!@>^N@{N{ zpM1i4`vYVkr6-n7G<;|sn9uUe`WcY2nl)(J6X}e&UJic$3C+3~x9`=08)B>1kiwys zGVQ`o>2XGJ;SYc#KSDb(y{D&Xs1VFhjECaGjTs|3z3#VDWGDb@#8%HGzis)t;$(L;ue1&2 zu8<;~DFl3@IlkQV_ylct&7lZ($2R1W<9a`Hq24TcuAqN_FW?y)ad)^}-F!=W<7I=tAPXIlZvXOMzMLpQmj z!4`GirhIjlfsQu9>*-4v^Osxjw~*Mx#6I^%vh(XYjG+jS$qqRS17V=&Vq0}gmb&7v z{Wa?VU8sCA=Tp0dsm#~$zhz{;y;5Qi245O|D=9F?u?(`Ou@-pUZy)+};XVhHHiB;@ z?9tw;Ah1{;k>`Q(wtx}`=VDZ9NL!l#{JfuaBw3?9%}lF);&0@VtNr0g;8gYWs`~nt zF9z5%^KDK*L=*@L2!73LWqmE>HhYj-qJPnW3i-OH%eaum0+Acf+z8W1V()A}Z>!AZRg|)#(eF7vDLRfQ(yIWyjr%welsEmPbx~-*?W*QS?HM zEJe0}(nV;n(^q~AKK2|YhR&^^H0?t5@1dU20rt$~MLL;P13zwW*8(*tE9RQ##BKD1 z&>!uQ#YhTz96EnkE$Lo^DQ0IU|GvhHI_dqH>sf8P6l`Iel%5(qj^~3B!b)YZRtSoW z(wuE@zq?E3dw5=GJ>C0Ua^t_XCU@E%5~H`*{=ox}_D>G2oQQasA0-fo6_u>Ai#Yb% zzsAXvUlCe(P_)B39v+P2evaDA%Y8Y6dJ03`#vaB-GCV<8)Q-?*So7&*u{Hf_CQFMN zw4BXno8^4 zqjEgO@FZO?K2em$z_|1bHcl+R9rI$Pep!=1kshEkk+#Ipv6fxH#u{9*922_H8Vk;! zI4unn{|IGkiNokwbi<1M-D5edU`PACLucscFO_=+zAqZz(Tx!wlR2~B@bO_$m+|yA zKG@E+kSxv=kJfwgY1mOvCOksoAN~yTN?7p_`PUayAbap>t=T%uugRDhOCtd%Bx(LL zp4Gnt;6l{~5LL5E;YuF)B~K?_y2u!*?|&^F$J)~{-)D7681GVQ_g~6j1W$EA zVioi)Br2&ZtOUs?FtlT@o7MX|*?9@5aWPBvg$FbnUf1GY;UU>0(|B_b%n zdo>CdK_`0Djm}hNh%UK~E%~M+O7^INk2Rm}*asD3)*n%I>4e6jkvOrioi_uXu~289 ztJaSiK>qsK$H=UM{B^f)x-9k9Sx(@{(VxXG#lk``i9YE&sE!k^u9x)-9=wE~kwC+~ z=1=1Jc$=mm(QkThHi}=393O_uQfFmYXBYOY(puY>yql8WKNu`ZP}lHa2cDU5762d~o#v|6srBa+E9V#XIE|kBOb7+A>}|g~NNbdJ9`GHB9AJ_X|T|{f}7g zB#%BVohiTGl^W37S}$G^FmL2Z2A}4gpCbtCS#11;Kf>+~ z&E9VDH_=vDu8o@Hu@O*d4NG}33*gHG$9-6{DNKI#q(^2eS>84jfVj~%HT8-+5^ z-vs;O?u#$=s}@9-!e|T;u)g8+4pN_sU2bT&MEQx5bLvS-OI9Hl7=?2dRZYEZ7zM9c*Zv;lw*^IIqSfuirLTme ze*{zpy3}6Wb5wy&Dq4|HP^JOr6^+HSZ!DbGBe{7i{#u-_QU8l8()&d+w>gg( z$g8VgxDqsjx>D7^QmQIAYpyLNXRXqxOC5K<>RQS&0fFw3q1rbjVR)t7Exr$y)gOSA zHe5QKMuibA<2 z!W;Ef7fErlWNmyX&``h#X{!NzpLD? zVG|R}iil7kdOA-Z-1-Q%oK0??@_Ik93BKeX7`K1I0_>t6^YgGsaRMuoPype0IsBK= zQ#!$b37eU33%(d4qWrO5NNp}6LhV{=XQ%p_$s`87+fJ{~t%p0pdt3ss(~6AwD!4Y> zTY#39(R6Ff`|5O3m35e;bE#dZR!CReP30Z?8nKjw#4Bj!@_KvYTDE3xD!X8DDWbt} zCgR@yfj#VqqKsktH1Aa2o#Z*{ao+dpWBBf9V&en*U46Q66AsMd0<=8B-9K4y%5rRT zZ~VitTotx&Z?oDwJ`}mM(00gN<9K;?ePPh`!0vXv)0GD@tKJ+RB^(C=lP%%>-4B5Z zF0&DBX?YtaeJ_^F;>3*BGwt8sr{=*M+~ryAvuH=Nk^5v!?@#5r*+2ZdT85b3sTMF; z+cygvOtN=2VcR9zH_}v; z+qc*GxS2Rmh1%Fe>QrmxH1%)Z4(oHmob1U0kOKs!{)VjLMaxOd&j|nj=LPs=I^Cz;`eMR6 zwW;cA{e=meX2$dCn}4`ZN}0_3I^c{94+lp=O`fUzfP3QLHh658N0ZQ@!=b?0#gM=? z?(){nkL(f_f{B$9nw0SdM8)=EZ?-dP;;)YA2M2=rze<=_uO=V~EN%6uAWC*#oXi~T zU*6zK455Us@vtER1PUe1Xo_NLiBqEg(F_4d7r3J>CJjaZjW8Szqz^mzHQNJ2LS z48+)eDw5?(mU)#ut?lhNBupfsK@Fs8LDbv7cw+2ee%=e?;2Xk^4%ZWm*8HTo(Jzj9Q9isQ$0_0>Zr zj}Ppr+2S4>zZ0x9>~<#qtS0@y-%9@kjuP*_I>}6r9N9KW7FgF?%G%H6SYZdrP$jS_ zTzJN)>x`Wc4O%tb`VnC`uyRisD=JF`H#(@kjR+~kJsXW3ARJfj9bQ$jW&vA7deCzg zA0KEASJE~X$!^_Q8c*iDmdIXRn|!w=H8&73_&F~-FTMHEYkzIPKO*3JgWgw@>3pQV z^7g)10+RT|fTGaad`u=TGr$3+>J_g>MMoD_c4W24bq?{e%Qw%}GjW(eknke`jDf^5 z?8*+PZ&jn7-7a2Bu<+A!XO)MHPn6_DQx2dTWLNgzQnd3p^Tq=r42zB3xE4e?pUb(( z(pb(K>?53d2>XLSRU1edgOOcXI9!U@YJcGHxu1Di+uqNR=LmyR(67e)j!iGK$yvQeuB5YG-4|@P}8Ir4R5VxiE4ML}u=YcW9)Z@Gf?B zjp}Q1BCroIJHfL2pos`)d@Prujr-)&a(X=INL)yo8Voom3L{Ju8(s21J2i&SU*}GE zB`1z5Uu%Mql#P$)xNWEBLr~Q#e>j(&fdRV`{fwi1-|T|YW!INDWS=G;Uc21@IE|*im=Awrex4M@W+1UheB{#J$6P*4+e(bOBF) z<1T1?z)V&@>SY>JTBB)t*7Q zFIo-h;swyBzp93XhK8BU4^`dP4&Vs8@@aX%(Qn;a*gfXSee}Wg^47%{A0eq}S>uT- zC>rhNC_rJWuX`jSN&jfrvhrPyaT;#e)`^5T>+_N+;nL>e&bdn9oohGc{1e1*HH%Lv z7Hz{kUeN9e8(g+9Ft_I0IhfDVyFuHC5@(-`y^&gF%nvFek zIh721UK@~mvcbh)&%+i!-i8h&I>rWl+F3vTAp(pd;%AbW?(R{em1y$MM6X1?$MO=Rs(bLl`FfdU3AZL2-x zb=4hAwVv*^w{}SFzC0n7fwUQI)_Vj7QryD)y?mZpy0$F>ZnK?VIp6c=N4}P^B3Ne9-)93isd(9=7NG3&N!}Qxhg+!LZorUUQx1apO;bEY4C1 zmHsNV=aoG@35^mL71w&fMt~ikc)1&#_U(EnVF2aTU$YtFzldiwoT>z9C;AId^AVzd zrglhVtxx|;d-mHjRa8+Epo_ja~C#Vz}h6`DI1}J zsOoc4k@w0{p2j@;*{M~exRCojL6-QywWn8u7vf6a_|9qvP8jDgSwebd@AjQAyN#U! zvh%c%^VO8Ft1*Dob(1BBdKI@$biwx?99N0YqvtM;1-i<<3?s6)J}aa*nLOhIFLdim z`uj&yG{s<=Tn=Xr89o8_^6$0Rr7 zEBbUE#}{}sD5+dmpu^Qb1Sj(~tsNc4)PX>3K(i0CzG;}Nv$>EBpXfbF4TXP zZhfkJzrH2W7-hW=$wh5%b@{F}tfxJDh;Rlw|42ojcIvC$b4SnpD^h`+k}ql*?$t{k z^bmUiCOI&B;=a19aON*5J*;QaX-Plz(Uk+?=WJd~6pSM2848 z^?!NZ?|ATf2p8xXj`(VvrL_P!tEk7Ge!ZazVQtbMC;VnP4w)8f<9;&^_-Wti-5jt_ z3r5A|hyHnf`S~6spE$IJTyn3OpAZ;CsqC=xIJ)UT{p6#yKi_8LF8rBVmvrFDx#nYO zcF>O0i5Np)41JZjb2MNb_HB6o2>Q3?JOh9Jk5C_S$?0iFRN~)9j*>nX^~uT&+dm>ZoThk1 z$VaF$!wD6&6{gA#VaXj_LF)VuEZOd(G7o#wAK@$oRJlncpt*a;ktL5e#j?QwxvwAV zC__V6<|ogg)z{SQ>3{4)4Y0no9jXcIHD$$O*%7lH+en5gYIg+gMA7~mwM zRqX8K6a9%|jXRdjC{iX9)A~Xd0<|@ln`Y&F-A#2mPayDg+tSvn9AkJP7qO;B3E1=^;AOJ^F|C8JX?nc~dVX*w^IS-l=z zk%B$=oX%yTyW+=}FTCV}B z0oI;npge%OfO0VB*W$pEwAMHuL7CvakRXhwUE4oCFe^@tNWhkFc~-;TH9Up{Uu9NgEp6kvo~cK7 zwk|XGlx%?O&AQqv@;2nDJlSqfA}Gs2y=PKNT|a-O%MrUoFpDG+g>lJQdOb;h#ERe? z3G*d1VIyEmxp16V8YQsh201x>Y`eP~Cl>NdU=8#rihnfjH)N~192jIaxqyeT>wTDJ ziybtP%>=*8x*z*ie7_Ypz2I^CF3_`1ox%I82sZ)oQ_0~{^{2JUrJjrdxAMx-sgd~f z<$hll+$ZiGppIt#bPEeVxWC@(E|KGJayzCj9M><%$-=mC;kw$Ji4qKnMzn(;x!*fu zAdyokXA&GtrW~n$`?h^b-O_@QrHPDO^1KR_PZOWWekxmP2odX7xLmp~hu=fZyxIkL z8obe>Zb~dCg`!&cIv$)kvzYG)#1Oq-E;Z&z8KCUS`^Et%B<7^^5&@|5(H)l?Y4pE) zk+Lx4pV*>vxPO^M`E4wJ*ymE6>aYBqcN_GP>vVN|;;Fs5 zx@Jb_%Ww_-)3T_C87{B;ooxDbtdXaY!&|nLh|pT0Zpd&3uQH8=YEpi4%74ihU_T#; z(myw{7|O( z;d=~_HzQM{&W_RxgQt_>3(Ywyz5x`M*H)4RUpo`IBK3zk$c3G@4IGYu)rQA+Zc!^TG!(7LdM_@n;;*f@Gm=p!HLq;4(`zmq(&1tS zt&#UCMhK=j-^0G;H)#^F0}7nu{cTLDdN)RYt|ksve@P6_?#*?1H9WT@U|fC60e?!? z9rw6_K2+LNVRf}-W}(!dM4$Lw|C~xz3~vUj=XTE!tUot?2!C&%1wbt#W+C#@s)!Zt z-{xC3`O@b4vs}#l9}**f{84ETrOVCEdubflk5ZO9izQESGgJI3=m;i;);< z)x9edYSnV(he=<#Ze;qGo>3QnRm*(=(Ql>=E0Hw(JFk>8=c}Riqiq5-BX(7GvSs<- zC}Y|!vnM@{&cYcHW|KK~bJ4b6#}Rg-&$tRMIzdMAtf33NI^p9v&1s)1)P~6LOOSyU z7)Ay_0BS@d5kXYV7HuO7<-?w{Ydjp(ct9Cr0u{y0PWZbtj znv!q{`g~j(^KFp%bNBqfS?IxJL)4;!YXZu-Sj9@dFI4T@152`N>NX#OM^2I zku)#QamNLTk?6iCZ!KCr#`m_iak7on97k7|r1!LqT%hF7pO=E|i{31!lg)zn9vcGN8$5@cD3RB!hOl|DB`RjD{YOIf3Sgb{#e_D)t14 ztaJIu(7@z8njZVP^*~EL3!KOHLEuKD+xQUZbS6!&(nDn!ivbFNTx&hU_vzVQ8%`WtWzj(#QmSPW29;M?m6C<*b@d@r z9p%v6m?4vy#smxwezMGOS=2+mR6sdqu(B981+A{Q*40?OymIA>LQ+?`;Jh7mdRYLL zi*8g-WMeyJetQG#!T!&*3gXZ?!NpT?bZ)OQSZeVzW72mOt*Eqef>ZE(1Weyb63_%? zFoJ3>w!NQt?4vPI8Wm|_!$D(KZ$nLb7VH9i1cFQJX+@6P@h6r3dp?#aJ66a_su^?n z+^5Sr%76!KSsHD5gg6rt(a7klsolLSyL&w7%$2zds+O>MsNV|Z|BtM zeAAH>YA_3qI02NEqkgeQyE=}(MU{sq%~^J_Hpo9Z#{FN86Oi3Kq8RN$I!D|RH07*h~RbC93E?MjeSB^OKFPFtAQRHmpnvrf#a@z09myB>;&Fz$5QJ zH*@)82sG?KnE{cIpYGMghuZMwjQ9}m`fN*J$&&!t_&7~&b4GIiZ$k_S-&GxZ*W8R> zoFPHH>OlPW?q?^;)XJwQgK=$Z^Ft-aw+%&gFaJ!TCd{?1d1+?ew^WDoo-|M^T$7sT zR)A5Wc7uU?Klo443LP=o>P3M&@CB1aNllJTr(%}tx>Xl{C_rx6#!af-*xVA%4)k(= z;oRj#gDSS@spTld7oHp;DnN&V3cU5aGvgZ?nI1yWuw|)5bFlIT0bLgy4R71pcH2r` zO^Lv^4BS-h@fGB{5oeM4RQ(ROBbw96J8AaA)a4_9{CxD`c@IE)bc8_lMum z&6x47qKeM9f%{K%4^g^J{`EfzRu(x_7m^av#`l_Kl3D7wg?-KnraDNZw)ZdixqSIV zxI~H=9od!n>MeUaditB)p+aP`NzYL($Md*A8#5vO3wGptV4KDA3%}h+#DA3$jWgZ^ z#|%E#HvqbMxE`w*d(({Tt@lExYwtsPBRtH3ZXY);Bbfr3`g2wv`CE6fyBEV`q{ZnH z*y?d|fwAdVnEWEM*dMtC+AS$|Q}~aB<6{&gB^8yCUa_Ua z89k9(=8HP+{<-B}9~wW=GZMPML-CF%_R%?Tr(@FlonV`K@e+XMLbiRs*axBidrOlrEOGSv-H2_IoKJfH+9m z)oEy?H@p9yj;)bL6G^yJ#LgD~xdZ>5XJg<`R$G|)UqJI2WKsd+wgXAb>6PtBgij=| zqcEWQbZfe7qyMYRuJ-%Kl6d3K43Q{{2|B!$S+L{MG1lh0=Pg0o<<}&f2I{ts8?->7 zU_*&lBfCs=C@OrCM?0m6Q9Z2&(2(47TP?CmAW09jOy%phZFmR+v<&%Mg`RH3ktpB} z(jp!v*3uYoMK5c~)>abr2PBdAPfOw~`tOlM6iY#VBw42zVwC>qdKW2oYSi}}F04>9 zQ6_&Ou4KZ2Kw){@VA;LBzOZ$T-IJE#CUhGhv6^=mOaY53zqZ)JQKT(LO|QcE}`PAWnpr3Q^8@VQp*HnKyOz9esRaigDXh##(1$=(BAX#dtqby8vsI%np0$>5%|51g;{Js;We(jp134l%;+YX3r1k%im0Q7I=_3oxdabW$g-nFT5XDURn!GmHv2f zgb7>(6P(2A<8PEiOrKaBm#lY>oB!1naM8@aEGM;R7Ok+ic%B~|l*%sJ#kqR88JU;; zL)y?$2BVc*+_3t$5Pi4K=Vy=5lIp|WOCG$__w&~o!*a4>2R76Eb^JitX9+l zYRMxWheRO~?R8*MNHY;k_7%mP$fqgXCW*HRw(=)KPR z=<6%!`78Y_VUz^#=e3T@Ci{d=>MS?=4_2hAt2sab;7jMTaghm(R-GESIy?VZdFjbd)N%WScfiX(Rc4P!X}pQezWV@+AHS*8 zS9sFVX*MJ>4#voLuIv4VIGXjj`8oI($~Gz=pnKu?*E3~b24 zwiwjWM1u;xWm}`J!e$rqz*cW8T&BmL%WeJ4rjrd4%IKv0qeSe`^ZTNt&|jg(gBJ-J zTFG&G&Dj185G`Prttf2lcpo?o0?h@h`Hm#jG#3{0oBk2_t&Ei99Q8&*<>zN0_nU??8m#i$vYuu%TBxeMM>+<0$k}8J?ud?S6m97kOS!G_ zNaQuIn_%WCdeBt8Kf851$>-0sz~04Z!6f7Tg#jFW8W|?Zf*Q9|=aI-O+RwB!l%Md( z`dctu8X8$PM>ElG0Tf|p&d)4aduqYZ!|z7_syRzCLnsOtsE(>-y14OcogGf{1A-T8({&HnbaC~xzc^+P z|6%xz5dJc;Eeh&W3vT~u|0!!z0{<~R$_s%}&pi3|p$KH(%r_tt6tYE+C1a4y-`|hi z_6=P5p=oH7=FMRvuiA+q>EVNXR^~s*2r-mr7PVAI2ht#cmCTC4w7ayQQ(# z?q{_JU&Zp1sS;Z)SK|2vDil7j=iCIy94W?Xj z^)+sfnvR+k_sq1RjlRBwuCBMWx$4^Qdg#_01xADZwDQ?ZTX`}v6E+PWzF=oOQiO|z zrC~{qd{ggX8XH^PL!J9?#%4CHz4M$G(SHDpA0gX|4)tf6Ze0Dd()hCtq-0mulk?{9uBv+nyJNWL*1l*p z|MHe%Cc?$A&gR)QU&}q1c@(I>6PySJ6tlROD=FA}WBKz|TzazWx8B#Zm6j_u!rDHB zlR*nhwwL#O?nC;h#)3jbdkPrOA&BTE1Jjg3HfSQwP9L$+40( z&`v&|Ejv#pBw*XW%=*D@M7;oQm~o4$4)pl0qSGxUTwx4Vx?2qMXlaQcT8;w>hN6_Q z0``K7GfH?_V8PV4#qm37u*?3ap0H!vwwaJhkV4TkZ)q(6MF&OxvLu`_sNAQuX5&gx zK?1FQaZyo0qib#BL|O38B(Uwy@LD6?4cftK)Th&q3XMb&>NsXy^0?U>b8^@F3r3)< zWt~>^%*_}pJ>RzNy{dPMDl>Ov0wkP}m=Cke`L1wB zWk4eDJMFPHXX!b9imar>&jWVVw3-0&AGS_3WPoaY=LJ>0(TQbN$SI^UbOPxM5ib*m zB8@~`-5JVCnZXIV0h1kqfwjdzfV!5kQBnU4CuslTP7f;yeBV^Uk;-4h%eHMfQ;C+y zytMtpe1!P}AN}|2aiXaJ;1;h%tr?FNvq&sd>%wm-i$;aNgRCnb6I}EdRy{NDv}XF@ zu?z6*l}DfSP6SYTxomRPX5Am(wZZY&N-4n+m5Vx{K(#{1Gd(mN#aY<>T4Bf#QYHlF z%VAfBq?_)!`qD?S&p>v1x)}FX{;D22YNrvhHG>eTVOE{_0~~W%XwZ4irOlVQ)LYZ~k)?qu?&v^Jw93LJbP`;z2lxvAQY+HGQqrcb|6tc`>r{0+8j+nl#MiP3O-pKXAC# znrsCnZeu6dKZ-Do;RfIGrWOl6{R4`UXMy@h!J_g_Hd@Jh1=|9(W|h83lxAsDHmw%T zKM(Pc>i8j(zoxjDv1)#?9ZW(l1w5K1`c$VPYM8O+KQ-_VHx3O-&ewwZ;<%PO2f(P> zjW)AhXV1wc&>v5|i}~xLBZFIgk3Z6n%HEun6~2xF?QX|rXlK`~w({Nmlvr*elk+iT zjr2ND9#`TN>y4Ysl_PPEO-$$+t-^nIeQkbp7?sdmyeq1ZU6hAy+(YB5HUm&jKwba& zQ2hq*(ykw#goU?{vRn7$ZvLKn9WC=0P_Gdb)boKhdG(h+UKbqyPuH92q6-9sOP)8;9-STP+9&O>q174SsnlX1>oWyuX8VXcLDsKT2 z29^osY4AAxu9_D$vPTO?87MMg5SS5XQF3Xn-^vAR<$GSxHs3HD-Zd8-WMbHnv_h6w zqrT-Y9iO`S_rw71)?|VM+JJG1{GH{m1G^$-FSyKtIqa&tPiPss6m``6V>>E#5$jc$ z66~qC5Q|kLWfWSqu1~Y_ten{hmgPn$xfrvkudRzf$}pk$o^5BVg_@s08yCJTv425V zeV#ht?w>krKhBrT41W+L9Kj2sqfFMXZ9%?#wed`aIf7?#Q5JX?aApgv?5@2M2)yeC zujK-<+AaQnN>?DO52&I4>`edvPd7N?zcs)!hcAUHW+nUA!}5Puojs=jT#w64A+tdb z_%QE-d@C23i|GCxr~BEG#>~ZQRqo&G|MzF(O~%u9FLdR9{(Un1&oleKNBiIRhY$ac z&_phP7;=(V12el|r-yyaV_Oi`YS5v}71e_A0jCayJ0D>2M+XbkIw*+VBaO!fbZ-{U zMFFGA!oGdWTD$|6z!qRI`-W3~_{fmpn_?BMLI*%6R8g5JFZ=fie~WQ%E;xR=NlEa; z8vkRfucLN86ZMZaB8dpbn*HOA?=$^Rqa|WhHTtp(7`1tsMa(HG+7K6tTuNIf} zK*=c{MZ!1prBl~#&Eu&?; z>+pOVCuwqSDRWSe2n#>^E-jz|C@*|9>8h|?mKiC~q07&VBvAI?Ht|vy&hKb%=>P94 zdgk_D83gc%bOuFTA97%|SL|5iHpvbpb3*>H%pa&Apg;T_J;zU0%Zi%)YqdI9ozG^? zQpHC$<0ZznW7(AXg^bObw@)nz-ED#}z)=j%$kd~Qt~&6>?nQ|5c|df)(!wd4c>2=^FKK zUw6c@l&D7i;cM;_DMzDO%8ytR5al&NIwrAL5?zirqEZ5iSv~)~n5Pzz+%kv}?={CW!=fNdO1vPT(ls z-~heZ|6%JZqpIw>c2N|RR4HkZlI~6cK^o~!>5^^`DQRgoDInd=rn^(RyJOQGXYoAm zd&c*TbN;x8Ke*R@ub6RN*PLrGcmQ19_0Q2x5dT_6*bCf<)yZ+e^sbT9^AlYp3w+Vg;{%C5Q3_a8aA zs(q`1eM;F!Hao?%o_y}5+L+CV&c5eiXuf@#`3Z)7| zR&Hv5{!MeWz$Q3s6Lbj!!zqMjv;uBD66XX0L(>k6OD5)@ntD>dZR`*VIo*dC^Ib`0 z-nPDX*NOL4q$WRV=eBpa_bM`}`qx{cjYwnWAtNCPsYmy9>NI*RNWUgJTDUE~I=T>; zzS(3r-KY10Nk|Xyq7`qsPdjFMBWv<0 zi8U^Gh`oA>;Kgd3P4EHi`KZimB-P&hyG+Pxx%DtsbhKzPrcpk^RP~SW_%$Y`i1^s2 z`}nDK7miPtaW`LQ4L$iB`sVS%(xMfV!!iAN3J=SQ&$;X2tkJvk`EuYz%zm2bY`Bt_wv+x15Bu| zR|Jo^iT|qDQ3E%xPvEZgFC|rkW-&L|(O{KE5HswcW+0#r7MY~c8ZFIX z+OWmC--KkeQ8kMh%TG|K(=aEX*S9W$$DK&?;|T8D2*LiOnv}l$QEVlv$X;EO#5(@{#Zw%BX@2qe+avWUnGzm9-i^%{{!|qmxbheE$!5Hr zFP()_I~2)sQBJYjb*l2KCcsg={w%&r&n+QOo#v8 zS8Y!3wl>G+x#;;b<|KR7#QeFSkOV>zT2+uB|940rQz8D9yt4L38*w!)`Y*41H{YFF zz5R$`yfm4{&_*F;Fki(-fX?65-BaG(-HV{RK^Yv+xl8&9QoZ5c8xr35j*2{nNnvwo zw2|XU@--7cPcSjDslxKL4^m64cC8Xv4o=%r@8qk<(gsovdcG5ojn z#o*&h0QvnqcO@wePe9r6G2ZUo%^I%qEfi8IK;Jo{eNXh3h%gv5JDluW-PQz$x|PL| zk|fxsDJ6ZpUMob+^9SALdoB--z)3G2X=U%*`HMEXI6!rad@*{|(9F9>tR=mtC`QRz z58yF98KDRHjF4VW+os8x?St>Y=6lmEv%(jh@KYLZM;g+QZMLs8LuI^H%3eaA*Qh3b zczOzFBzj$OSn=rB#0}4%Scd=Wt6Bc*tDCR3XhEe(P^mZC{N3I#kaI2{)NyLyfzY~n z6aMbeSlC)ry)QxkM#B^iibv2E#4{T!nS>L#Y=A~*APxigbmMjN<7m6_K0Zsxb3+i% zGo@Ds_wrlwV8B_Ct^F-)G}G0ZEqfwkw3jmHe_hon(FGVFI}WOFE6=K}-CnV^8}9fr zpwWSI3A!sD;+=ku^aHMW+T7_a_bPHoD9YA++Vfg&?*8iybWK8wm%-w?M?40=qipJL zd3@3(UNTZe0he9fIvl@0C_<~Bt7D0?3Md5>vh6YQ^yRo49QAriRmdK1*$EP6%Z1og zO<(HA$pg{9S*69j_u!T!R|gZBU4MS+8=^nm0ut&P@wt2O-5@_GeBOsUQHPbFL(=&A9k)wSpvEs{sa=#})ScEPKb;RLMCGh)!5=+?Sbsv=c)DOPM@s9fVX= z;+**JpQ;#(9f*mX3{cuNj?$6q4rJLB7aw}p+!b6!myn)Mvk?j6 z3z#E4uit9{!mcU7IHFL^k?{ydr;|^b1=25N2lei03QO48)@&8=AkWbeD;I)>-jg=@ z`b@6oS{rx%njq2)6*pG+Oa}dASm3FU;#cGf&8A~%^4)8d7j;zh*gSKLW^l0OWA}+o zaiqR6S2zdki<;*enwT~Da6a=PaYSU_^i7Zb%Ws|Sa`)B3v#b9^kHb>8;7M{`L^xf00!4Xw{cB&XP1OLM-;4uOFp2=Jr;+7f} zCsb)AEb2(qWGV3HsD^}ZX0*9a+R)9};whYr;{^51?M|Q1m8sfJ`A>i-AMe){=Ud43 z^)6Ri1_1Ib)64kGTw>_<8r}97DgNO+Ut*RL@eDZ3#Cl%y*ZT?A248;#Me^KZT6yNmlM0Jknec!OJC`Etc?9{tUn{*?yUj9X* z%bS$bM)ZV7H|DgT7FZ;;RU2W%Q=pPE`%Vsm88~Axw-^u4n3mhIQ>n^LRyL+AgTw%c zjOVohVd=|20$#_2pdh4;dcM-m^ZxkiUrBSCjhDKBVD65027ULAc83#N)Ac*fW2N!R zuDd#(T{@3D%YgOU6bH32%dwBOG2c$xaB_@EVM8+8-w*v`3*r2q1s@^hnGv1rUooSP2O>U)cDYO^0+vn881t#F zVL@?OaY|+V{oMOA$des)M^Ic5M6IxM#gm{{P@G?S_vj%*OH4q4Sv;R(4k&II?#||K zb9K@m^;QU{v$im44v6w6&2?AZ-ui5^$od^rL45uklbtw8#>W%D;5nOq#JPA)4+P>7 z=#fv(ShnV=i>Y{u1y`@~33%=NsE}i$Qj+^7%R5KAvm1MvoHACXU08iDIvacwqmEH1 zXzUcgezjwv_0M;D4>s2)>X@|bd`Zub5xvmIoDS-FL&O1_+XNL}a=@YCAzmK${`Rz( zDutDLTUn!FW+3K-*p5x^s!VB@9s>?5j4!6sE-cO#lCnRP5F6Is-~ zI-5EM6m385loZq&w%U3FVh< zKh2OHeXunUZrxM*i0xZiH2-8``+5o48@`*H)N&9cK+j-ig;7jeVHvFu(i#Z#ZJ3p%y_@GU@o1M;IE zxc1ih37&Ym+o^R-!;=OxTR2MRXDO$zt4UWb@9zTZ=dxM+5v~bdLOW-5Zd*$rI<}^L z@^i_AtW{#*j8all5WxWgD#l~y>E`(K?6m&ZoZAC^ORCg{cpbSMCH&h*m2?x>l<*#B zFnxdjzSeKN5(Zj26|>Q( zXb+nnk^_pbCuiM`D5k3b9is2DB4;$eb9v-!SW+8*CKf^_{>_DdLsToI9$|`|580m= zax2-D?wZv}#x)l{7jFo(F+&_Je|=tKxn;Y{&d=bFhw0M8esvk;43Z7dM|;_quqiAq zPgWI3QOL4fegFbJ(F#XHZ7-c(>aPTKaYggbk$=dUgZsj8ciCe%sBfq%oK8va=3frWS==Z>DDy-jbTx3kCHy=D{^3$Lw@XidphIC!7~I_5q`>#<|Z% zZ>g?s@J@iAD;X45F_xHX#C&{uVL`6< zY(B2?y?(ZQ)!Q3^*lby-=)*e0i*KF)MXPjY$HO(dEzUaINT!D0A1OVezG0?;zdf(Y z>x+T|1*L!F*LP2k?2Rpk<$#^1FkD|J;3X=k5a1^X9H_fs$+1Sa82buuGW{p*{jZ0d zd%jw@Z#SMbGgZLm@>);(#rOzIE2ZvZ$qx+K8~7w__L)vs7VpjOf+0H_8~k`r#HCzQ zdK>qiUY$)RYfa>OGTK-E;%6-YIp#w^#P}oqPz- zsEbj(NNKMj6(r=Oi5)c6ro2`_a9Hs|PD^1ryO9N4!1R`_<#zb+Eu1=sGU_`eF6Rv- z41t@#D(PF*@^4uZGq*d+Fm552PtOey&*Y|^Xn3)|H^+u5o}ZaaMyIkLkn*V9L_a)& z6+~7=aK4(2ouJTxYQN6&=77aiSVEm!$MYe-bG0+fIS_c)Jd2AnTe0^Mudprz4HpM^ zjveA=E93-BwgGc;c%&jwV!UsAt%NX}KQ-Nr2*>+bQG53av=#cmP^^2~tw+7-_A9U?R^Fo}c+Dq-dKpn?>kCS9#>5dvvSCBMw$!Fsm; zA0%?@%l8aiSME15e#VT&4{h({EsS1glQO4>tS zJWZ7Rt2Ho~BNaUV7zxx5#&@nh)nJ#$?{})IPE!a*NNR8l*h1`ap0IoRyP*CDU4V~G zY4sP4qF&=Z4qZK?R{svz%GYeq*qx03E5XV^XnD%JE{U%#i%yD0w| z+XM-4T;tt~IDC9sVb4=ngVBwstHiqamYffv#((|yl6Zm6Deb7H`P>qC&SXNu7Z#I2 zphyM-3qL%r?)FMiS$l9}{>H|}R!#%$x6OBAI5D50+-HCwn?n->IK9MdcnVreXK&;| z@=R_L11L6pZ9TXaI#OI>ag;4_Q?<|cLNL3kkX1YX(SyEP(kF+_E=sSgrlD7NWo_DB zYs(KjPfbs1m1j>HPipy-k(x21+ZdI}MCeY)1%%jA>O@56$NY|Je$j+D88%hSU>?{F zQP0-4FE6x1R~x(sq6bSiB~ai{H4BgI%Eop$|AC|{NdH03f5?f+#QN8dOegEeb}<_4 z7Csoj8Z+`g%)p^N{B;`k)s-C0^6yuwscszi;q7UC68+ z76*4q*ft5!Yrf$4CHUisORC+$NdMqqW0c+0+_aOizZKj5QMmMG_~^retxXZT=rgbJ zED=j7lkL`7FU^$(w#oRZUR)M!N zt1GkFl=ec^Y`EXDz+0-@{Ht7aki`xab?glZb5Fl$5Ud+$UeT44^GM z*uHLPReysLQ<)*&uWimrC&VH zP#CQ>!7d9i#fn3!IM3}#D_7a(_e8tnVb74~(f~cn`Z_%*b64cOs}m*}zUcV9Vo3FA zpfd<)Y71{FT$@MF9?h0SJV1O_emd0jQ2CZuGgX{$$y@PY{2 zD9gQi&FSe6;pr;d(w&7G_W{vP+0=p4zzhh#4J)BKTSwn$D7jZb%iNf6)c`&Q5$?do z!@j{}OU78?_NVL#I>kxx&k`Gd&l2seMxPD{Rf*(kcO)Y?m>u8DNCQF2XoCU%@yUr= z-MSY6uV(^L@{D}3^4Xg+r57aHv9=rj^^>(ol4x^Z=Tft`wX@&ck5CnGI&SI&w+t+V z41e;G80&0D(?-#>k9Pt9seIQCpnl4}Eu#L=S5RZg$~3chm<)7tKfX|-a4KpMOE$;6 z(L_gNQCDAC{U{c(ke6uSkIL^k2Dzi8O*1o-!>(7>okewn7l^l)_uo@@Ze_F``}cPO&lS$^ zFodGR)C>^yjP$!#nw(0FCcn@QNNr7~QEgC&_G>i0Rv>LFLo5AU=wViN+jkTKsq^(t zbw>m+)@vPE0*N}&g*;cJ=WFYm8FC+B%EmSE71vm0@Qwe1^f=C`|CM* z*@9^Vvot9%O=(nAPr?yj)7_!+b$2*1EC2jK>n)=$Ss(oL{6hET{F*c0S710+RKJxY zfmyIM?#;oa7J^NlcRw$)wA2EQQ{$o|d?4Po=$G5G)^Inp{l^TLg#;qTs$58f9Onx7UkaPiqKKJ3bA zbD_gBayQvy96n^eXCgWaW;qS9xP`L4 z;TP&RqvcE-iWD#bEvK-%$+jBKYO&YG4cxXTSemFoqyjo0Esb|KiDz+E=MH`C4@Af! zA;|&x4OB&rMwsVpH8p1<+vS9nkJpQgR$DKo(}1Jt9Ags`kvooIhgtpyF9DrZRVqPB` zb`IQGOmnCsQez`JKqG*hAtCQ^+eb;EiXO{~*z zeU|`vb6H^Cs``_7UHcbhwQ%r_E^_lF*0PP)ZP$!AwXw8|@8&Dn*m71awCp?HB<>Lx^8D(Txw_oHtH!t zW>m72>~Bbz4h{*)f^K9#4)~SO?fH&(>pqogaIvE5#e^bENSDWxa6HLqjmO!fZ4E;v zxv#sA=Zk>dPqi-Fsi@sGWxU1P`qJ0t7kZNYcdE`zEr8PZmElV9r^Vxe)|s(=8~bGjRK7 zoHzd&=Z%8LRXMe<^BDxMFC_-d9~leAY8l!`u!1zLV}jWQ!jH4%D;J?M==VzK=j2@4 zY^g;Zp4x<7eM!Y$y}UU{;y-FPrjN~F2;J75C)c)T-DUT3hv1~kefTUTPP5DC`>Gh) z5D;Fj*OgL+wwfvb0h5f39BfrEmIT)pe&+G*_sjqtKenK*Cc?b= zOq|1q4o5y(2-FQ`LrwWo*qC*{B7`TLe;>_FrBx zOu+a)fUrw3L~H>T%tQA;hso%?uxW8?|_19X>GpF&mX(wN?$!T=dL! zqy;A_ZW9h1~gP zMGeq-Hk#&31YN+p=X2F{_YJA=WdDd^GViK#EjkCQ|C1wv>;z2ri=*ONyacI5L!9Bi zW512*-1<=+raajq$Bl)LP$l&yr>?8qR-?pA66AHdE^Xkxc&V_=NmK;6wH>>KP!n_U`7s&fxbyK`Mq$i~Jg(lowG z2=)CWVq?F%!~9eA1&N5Ms#9n9_jpV^x2ar0WZBP~MygMh2nI?S|I&QxzYRIy+lnV|U6I&mra$2mn{7DSJ)LB; z^%VZPvp9^8oEo@gZUy0H$`A3_gJTcZ&%BaeMu5kyWU7_#e%N$}9gq9AgbDa)%$}hj%c5m9Hj)PyVd7W@L=K6$*3XT?c!q;p) zwGm0uX7dnvo&dhz;JO!2P z8SF9K`N@BKxT%bGZ|B#G)yq_4PIK*K(b-zbqtN6AjTw$SpxEa@u)N=PD!`iGl%Yl{9ZOOW-SLr4YH8uA-6E5@WJuTX3*ZeU}8!I^U26|mvNLq z8>I+Ysq5&Q_S(ZN8jN{6Q%ni(*4QE2cfSTJtb2hP-dyL(hTVUSsj?}NXO42M%gmPN z{I@`l54%vcV?<%Iq_k{pe?jZ&+ZZD&@tiesRD4ovf3eqE`*d)7C*^R76`eo&)~5jF zft0%9OgeJ9P`CS!@sN1A>MR_bqHAn*7>w?rt#c+4-5(WvU(ZwoYr$@4C~Y}|?}txn zppQqzWL&86UEpV_u94QCSt;l4Bl&2Z*Wt=8JPsT|gg8E&jxaSc3;q<Xwt;x^KrZ6rU`5eo(a z&0mh7V1eYzZ4ZMbTE+x%tSM>e5j(NehXlCQxQeRX&M#J0s(|Aast^3vk?|VsOlVlt zW6Hp0)(>qN$v@C1k8cV=2_e0M=sWP=dKpqY`xx}oi=~Iu*GpLcE>AUZ@=v=4|Gq@w z-(5rdZtaZpT3juu1}7lb8!ePZqwLO%Eccxu5zNxeevIp8iP$sMlIVo{Q zku6@pMj*^wuZNZkTQH+HwtiJ1CBtbozHXD~N$K|OaNXgw$j{*QM{QU+-qG>IVO&K0 z6d&junD{w^)vt)IT*1aR#hyomRft5f8_8k^#flI@cA^nq3+9;kW9@0MUu1x?HI@W& z@yh_wGTYgYR&(ep!!VsE-)_?xv^x7+$EJQY5+>*y8i7D&GXC<+`kDVHCgV9CIL$iz z&mbZf8`SCQpZaCw&@kn`gh@$1uiMs$0U8{Ho`;$%j4b#!WYZr{#4|ukEpw^Gy-sf( zK!$JJl4r?UyxMU{WXW|pq+~>|9;);0S+H>keFeJSh)o6l6>e#uIC!t8EC#}l$C^KC zlgYaERVRvb{*;FY?yb;!lgVy;Eketut?4z}I3YfTSmX25OurRQ;vBU|M2%mUXSgLaB*RcE;B;J1BjfS){LSXz}llvctoX$7xjGyiIJ)!?>uyjqN_5B81~~ zp^W4gAZ#BKj7vF7Dq)>?j3fEA-C~=k6!~Gf?lxl_WZobn30n+m?w5<}JUF*#dfS~_ z7h%Cq++CWuTybRkr#_Pj(L;FqZuJR$|9%?YBykgA&-juv_Wng?X#k&3Vy(@o(X;Yu z?N$M9$a5HGBc;2u5I0Cu#Wc+*Jn(CD&3^Yq;4jxVT)xmbFKW9f%*U)NX7H(Nz@4S6 zhL0|XdGOCFn>2ji!X%&z`P|pPe7XNZKa$0!nj@pCywXhbfp`BUh(4{~{|i{40|{FB zl`W?wZ{byGcwAn6WDH5_eod&C1vmYKzeU5Fz}PGV<80QBF~KX)O9&YVu=rc<6Pfb9 z@(bEaU@OelF{j1Y=3Wq0?%`IfyaDHxiyc~OMse?p+GtVpRz_D-)O-5M+h*JSDi#sO zrbMw6(>J2C21C|EF;(@(3)>Mt;&MB99r>%Jh>3r!$ONIeYoD6s@ItbG!2`HWLdLOi zYGs{N%+%PnUY3?m_w+m})opEqs)d?jl0MLR-tk@oh4QOa`xo5mcp$NX7ZlXw206}H zqSKF%BwnR?ys#|V9UVdr4N??`%AC!wMch?;Utf{Dgb>sc3Trq1u%Sy14pI8~kY2Dy z0DO^50ENS);l^7fsHBS<|GnPx3!gTd!mVb2k%7zTTb*|G`=z2;I0Oj(!WSP9m)x{J zS7Ii9M@=6A$v|W@RAqp>t}quG3bf<0IYPjhU}&yPhlhiCL4UH4Cu1QM)_f%$qM0_!Aaa~+}i^x}HNpjDG! zqawjOSp$&KDg}-FRP;=Ki|qS!$4=7?O7M9#igGlvl0#(7>`yc#?XKN9!}%x~^1`4z zT*rO=Ok)?eDm=0;j$qxrgGT$Y$@UiGNroqzIlVM0dEEi2L#ruX@2u!$3KkpjE$J++ zl4pXUxwaJRV#FcM8D9_`33>A*HsD1%+K<9&Yym#(?x<2j%5IE>$k56EZf^NjbA-A`bc1A#0rJr75?v@yKN?t1r-FkWtNa)ESw z<1(-3mmb9`7Q@{u!3tJ3E{-}LBmY{s5Nn;#T9&G^2lX6k2>Pq!q?YV?Gp1Yv2RPRW zJN@SLwxn8&p1`5HJfr0Bn-kXEq085=lI3+NTy>?8%CE-^$9$gMjulmI-K~C{NNF4z z-Z&U5Fv*+<=h9$!{U)w=L6%#7Rt?&^5M6D?th-ENWZfXLh(P~#+Z5;V17!#FJ4&;y zLyzTfU_s8D@i=NQwWs>>K<}7#ep>kT>tpS^UZi+i~oO3hf3Lh3rx3sK5QP|_D!4ayVY|Df}Xk!_fQoTXYYQ9S|A zeRxj%%x)aft%)PoLg}5_LU%_bz$l^kG3vkP#soFkqKE_)gnf?alDXD#hDPda%zAFy zPYJ5D1Ai;KuqeGJ78H|=`pCb|wT&}Gzi8s>I{VLeNcL^i!Fvu}vprqXH&8TTZem2V z>Ns4^!f($sWXTVvRN9N#eBPNE6&uqxhGu17U?i!j&W=y-e{ylf=zs45fycnp&&gN% zUFhNl%YXAgADex zXbA4G+F5y476LK)ZqHG0Bf<4%kUFyf30Dm2jf{MD9w@Lz2d!EMN)9X^1KQc}q)h7@ zijJM#D1D5m_?y{l<9nhfbJX0J3H=wyq0e-CuC;2St2YC}MVA!Xe7uV0H_H9;w>hrx z2MZI!L;ZMvW2V!tt@G8Or*I8nEozJ%%TvgSq7ya`-}8-3j>7ATKszalH@2K zfQyP#EdZ)#N`RJ-J6nwUy4GPS+IE z=fKH+Lw<7iG=|{^{j~>MOfvQH>YgcUjzTbCky!TguTJrp!uk-a^b9PoS|>qT9B_Ob zvwE%Ilu<+UM)nM;*RAhoED?&?UeJOM(@GAzl5=%t_CKEz7Y^~J@4=n^XHj&eX2ob$ zmE4An6l8Cn_8fN}I2H)3cFq6%1D3?Uwtg`$XvY{}s}zohD{IN0!xlp1BsVDk7?xhS z!!5`tgU$TCsEWdx!(p{O`Lm-ITAGSSw*J|fcxf)gz3ybE+%xpMt?BI>%9D(ko?FxT zhHb_C_cm0Jf`_hfw(J8I=bqPSvR=q-aWw;}k6EwIJ1?q7C!BOsjksr*tW_m=j~>YfFN*$I&Sh^|2CoyL^P zi!Lt}QP~_h{HP;)@zJHlBaFBzIZEMhonjJceb{-$|C~{r=oMb(L_pog7?Nn1WEG)`Vh#)_HNLlPR4nPWo!( z<$3sk#f(?b$Q_c7t@?{2TU@*?men@&%iG!1qwOg~Srr@*Fv^1b%4D{lNgch>-KB;b zBkouCBR7>Atnw1+<*KJ3V^3~wba^@5un`xJhP?w(!@EBh@5B!dMfm8X4UfrqZUS$9 z+mTn^=qjNbM$QR*5Gh1=0z3YqrNSP;gAv+Xx)#kk?$WWp8^ue_6XgukPwOJOa8A_` z5z>G2Ta!+2z8LxNn^L3wx>f`A7bY9`hC>eay{WeNWgiK9LK0s%#^LdejA}DR>l=_9 z&HI5+ER=80banl6pBY+SX;ESW?n_fOTCQ(V$oEXX?U~EO$x;$VXy-=Ht8L0TSVS&L zaTbUhZ>_AAzp>Q?SmuZBT1t;~ouNmrc{5R&d4TLoIc%534i~!T3?>-D)qA3^01_8U z=rrVY{Wo3kve_rmO~gY6%fq5ursm66znkc*D8}+Fd_aY5@WrC;WQ^|hWlr%h`6H|) zCUK9W1^~WGbjWb8AB#c)V{Rof0=N3@nd}GHtqo*DAn83fIr4X~(~eTyLY@cQ_6+o8 zLlUtB&W@-{=5B=jWnD1tsSM269J6Z84AEz4EzaGAYHf9k^9uv3Vnw~f{nF6*8v1gz z5kAQ1r2a{J0>I}_o+;w)sp! z%W3KN)by{v6RTKuHJrG)-`!By+MSrFH6b*4^2Z{ujaRoZvVOSDd^@1OFuYetH`W`1 za{6SL=Ign;d*pFTR!R{&_l){;{#c{V)7@dkGiE`X>uWMVFrl2<2jBAU8^R&tuk+qQ~1$W`gyySnsk zN9?j68JVCuEG=U+77VXeWZ4KFouo81F#(*4%G#zW13YG&PXi$wxHK^jphXT=vroUz zUIc4jiN7ETG6(EtQsR7aPqMl0@BD$(E*P`PkzRr))MxAKx?~#I5x+af2KpC0q`8WU z^@m#1LUVMcl?xlP2M8wJnS~!P9kX`41c<8Crog+ft~+b0h#?cw4Ll{5B;|9Rbm}Zm zQY!^EY`sQ1zgzap>h(&F+K5C$(1YyiBf4R<_Nwh!*~pEq_Fb8Wq!14b1RbZ@7A-*>g$XA&t0CS5P_ zkbP8Bp6>j-uSzbtF8mb7d|m3IYki&Ob6;qbm84rG%Yp(b!{sA4p*M# zlfz+e4W+0X6Otgs_ckGly0T7AQfaNFkDuS(gvdtxQ3vgPJqzcMx=xx~f_# zMLv*7k{a4F@=}#|JNsQ010;-`lqEO_t*YO-Nq}VmCab9Ve(}B(qQkMb9EVzmJNiIp zM6VrM3B{ePqHVt{B^!65VUKf_@+5g}X87^-2waVd{Nm`s^cTo&u4WoR(@=ukk}3#j za!ql8^cO3?I5k{3)ddqPu6we{nwI&XMN1>!@(G;Wg0{<0PtSl7Pb?%;GhuveN^U>? z)yiT-a+I*EC`C*!&+(O*!PRX>DG14#VVjGpwYGG@52|f7uYDl=)=ws4vFCV8@iA7# z77H8iuO{Wgx0h{C!jX|)A~t7~Ma?j6N~}Lw54n#K@X`YBqs>ocY6{2{5XqHiNy(WD zP*cPfd){Vt*94rxa;u&*7Fn%GyvSVQ&x&^IAd0(a7{`cCp5SdV~C}n+Sk}&dXC9_!%rpy zjR`gaSJPhJzW<8ww|@qP?(i+r6p%HPYPW&LzgOOF54qh{!CHK`D_ zl=<)a);uTB_zbG*IFrGJGoaaVkwH~G=%j3o=*!Z4Y~D}{yV^IjqMb2;UfrE+8%#Xt#<+1pD=@65{o$} zc_kxb!=jlJeiE+GrS7-KCs_8D+Y0X@i1D!cD(k#6iAL|1UR3(t=Ov550j{w?c`>t| zZvs1u;C2&<3+nPb%%jN`Ijk_?+fnD8{#hlXIF;!w^iD1!_4{zQ&=AM)Xr{~jj%MS2 z@kDWQ*WeQnqpqqoy&-9rv_BnF+skA7dUrmb#|*l`Q3y<(@G~(%mP)<>p~dz{sWg}+ z6K66|7eId&fAIX7t-!k+!Rb`|s;6=p3D-d%K(MH9VA$fFkv*nOaP4@+44$@j8?)Q7 zW3KlmN?!HoV&lEQz4wj=94|V&2cJ6Y`7)4qnB6Tl!d}6l?oLpTuz_4AEz0S=&CNGH zjUmLGUJGf|x1%!9O%Hunc9J7gz=qqO7pa2Di2dbnZQ`EWwT2TD;$`2m`P?g2x#;tX zQj2_HV|nOH&{Bc``dVfXL-PEgViKnsZZyRCzghtFNjomas>g+scV#!1nWs6%cpIgj z?n#+t$Z|Vra9bmG*Wqo66YYhLSCd=p`@i;)ARlO!5$XW(8Vr) za+yv;Kb==H{wqz|@VkkMj%eG@QLHDBx>|RZOLM@3st$LK`q#$vtJ%?GN(vKlyG%zE z%avT&KI=N@9D&vnE@1U{t9;1Ox9$%bZHdP<8Eu_U=>8++s2#5VQ25p?h9g57>x|qI z*gSL9Q4D-!mJPbapBaT%Y<2LfjLc)kC*BHxnhOnxA_cM$qjQE` zMkeNWY_Rq5|`q%w7hRdr48~&8#ng{r zgwdRn#XNx%4kf7YnXa*8*w+5F0JXHvO$N z6~-GsqhO;QCXia4 z8zr3tZ|oAPFpf-;(9y)*eChEUOz?W`g7jQCmS}m@sxrsIy!U|~v3&2)vUWUI1YYIr zYZXYIK%*!Y({WsWRhvkg{RT#+VZEW4R~xWKnG@=D5CFth6ePXBQGd(f#v+7+N*&Y4 zC#fWcyi+?>va`lV8*;j}rxoGu_XA)noUSZM)%7&;v$==H=)lqYI*UYJJvw~&PS+XQ z1D)iT`0m?hyU&%NDOD5zAROsbfM9A5cLj^%d*GJIUmcFl$pxrcyXfZRcU+=2R>XTH z{Bp6BB+tq!Ql3iOIXc+M&udu5hpHYspr5r*3d8SmMMfld?aez)AL(M(0euGiZrtYR zd69_;W>azIzNYSbr01IGk{hn7%jNB?->Z}?E)BlXJ)SDS`dwaiXFw2y@f4SWtE0=c zfT-ir;3tQ{q}JvQyr;X@(uik%a{XTX>^R20{M4rG&&klzv?nx1vP%sNI3qTvn|Zb# zT7>+>e812_W5hFb`0?9vrh~V6)S&L=ez{DG?wly39()Towj^iQvhR=jujK=CKQ-)d zPN^QBkHLC|R2GI3CUQH&Q$yT$xP)t~C_qqwD^RT8*D?xcVs6S*p<&Mdp!*IF5APAL zmdnngNyL#d7%S*FP2yBhT7atYc|y20GPP8IrU+2m_t#hW{;~-&vyE+v>({QX{Rzz8 zVTFlL4redQU0@kQTU_q6aIufd_bW<(q%rFMWv!pJC#735%WWSk6Ne|*x7>cXCp$ig zVWCT8E9e@s6L8z%YP-H5BPI2b-5fL?9rOV2WzOU-$Ns!{6i0{}9g~JRH^5 z@tnCaLH0=-n1_tlS>cNQLrn3rVj}saZ<&GJsjULkQonVYJVo3`iwcBYEWfU;*|5Bi zDQQQc4Yfb2VCkGutrkr7JtZg#AU8113#cn(!ov&i#bB}hRz-cq-=oyTD+Hp)0z&OX zpnxdyrBE1DM0es@)lW`MhzSPdm8qJGVkt*w+As2b5UrPCC;al(k>UpWzM5$~tf_^i zG;n;DE>RA;{-hOW_~lo=J~whTe6_#3+rXwWa$(ZxkBZ;R9j!9hc4M*wl?IwCJ5Zq4 zdg1vhEuvHvk|ikyWP9@uq88F5{(xnQN)tI0Mj~*lo|C z0#R7*iZWDnGy6}L&3Y%@-@kv4j_tGSeXbjzoE~)MTu|s^1tS2e>Url&sy+Br^E zG1?m(J8ep^OXg4{$yoVOB@OuUIOFs8hf;pUcAPCa@Aad6V=%rq(M*l~1VV~IcJjrt z0fS?N`s4ytjv}_e?P;JVYg?Fm6>i&clai1CX*>Jn{I|?Dcf}+u!|$5D=L%G78WU;21b%>o{wLe{;T?tz^kZMLS4I&hvHiJO z?aHYu=2}Zm5i^YtxLFz2T!-`vvZZ~5VpqI0ZLZZPdNtn4EwnB{99aL=o8@9^rvs1B zE~gWIt$hH{doMFWNfr$CiQ+FN&`h-+VqN~8x%QvR{A{Va1O~$Jcy1~lM#(FuXNDkU zOwS59Y4QZ5-3SWm=~1p0M(T`g6HHYtel*XtO{lMswqKHu0+~fY9mlr8n2Cu!J$I*ic$bBT-#jR!2_)2(p5`i`X5K3UgO)PYvhjLQYMTGd0uJu|+cdKaxvQy)$N6B6#D38)Ly)~nAdDLV5oD6;>&H>+? z9wud`2&C~OBDtIw7q|aNrFzFQeKh*GpMfC_moEG14GDidj;(F?@4Ec2_W+OX=q+a7IrzyX8-mqX6Td z_F#5>Tx67Iw%htLnfv&xCYd=>dNvF=CpQ*uHx=57J*CJ5h_H+{Ke%sXNC^fs&h&^K zPkKx5w%C<)TnoU&iKs>WqYV0jgiVb6j*)(~QeuOF2TSU+JHmOEYsGOz7D%Jg4B;l* zA|Z7bL@Gj&;=SE1ovLx?;}($V9zu+})+QOUKbym5Ev8bZm0bK#U7^F_eN|9T7hX4F z8oy;a+CCnchDtNsJe}TtN4-}YClomaG*j_o78RAOKv5v_8oOXdRM2G1Jf>f#%nGOF zHPh6r>Tr>sWo^|dm=19^*U(J0eKXnw{%gOY#MI*7BeTR2iE-JE1(7~Tif!}ul+ z_$BN$-vD$6h=EqHF53QLT|W1#SMIs})KpCIfi=X|v8uv)I{JWc7E}HF59sqhQm@As z>v@woQ`$Fa&Ahrx40Rrl^ZoPHqOfplrV;DJNUC#esz&6flblRG+fue)Dg^5K6%h`! z6Egtq#6-F}(=rO_08JwTO28fv0EAbp#OyV_tnsWXQ_tE+(40XGtbig73)`^a%(dN+ zMYiZC8f`F-!`&4&#LswhmRqtbW47P= zXM#Rtaj6f0D&%H5FOGK1_OxOO1*93u_R_{5cz$?&CL1tQaa%U`|J1eYCh*g&2&wTMT+YE@~uAm10W|;4DIq?!t}Uyv7QJ^km#@0K_exT@RC# zLfYV>#eiY1>QRbYGHoeI;rztQCv>(!NniY zh?Inx3SI$zezS-JYKQu${hx}-=KRLD=eLUWXgw(Zm5{Zw6mk+uiOTT1bzaL2v^@Jx zwXgX&&y)vU<-4w|T4tC8B@b7!F9Kkl`uFX}*Wi+c{uvKMAY?@gvHqFseVqS@V~*YL zyoD7vbhf-4@(g}ZO9A2vU*``%rsdMd{_QA>c=G?S_11A&M$OtNB}jLdw9+7*(hVXl z4U&?Q(%m7_A|Rd8CEZAelz?T(9Z#R?&G10ykhHjR6UCD#df1p?uX5z`yX5L zUm1m{(huGAH$EAW@rvU{xQq;#y77C_H2>Z>kJJU99^{VOeD!e>*rNNR&CSI;n5Ky- zOkl1xrL=98d)y%G?;k{3uJIMhv}=-DJ5+vmTe22q;2GWafK0_^cszO0_w&+hsBzbN z12qlgO&A=$iR_?7EpKV@H}(`SP|$}H;l67*F`7W%4lGc zCBC90EQQN&L_YpAmX>kbQ$)dNK9tVGPEC;ds6q-llI?Ta$(wf53(r-k_+MWJuX;_p zfI2qq?*6dG+a58latCv~*ZUk*zi*gcQ0Cfx7tFsY-nbHTdq#Jy{k$X=Fohkg-(z4C zeJt9Ky)&VrF@MO_eCW#5wYpu5f>Rh`$jjw8PBWX_6-7?QIOKE~aN84fDS|#JXm~Ub zlKF$nJ6(z!lNwrXJK`)YEtlVqXW?bziZ_RWA$h5ijKJ_HO+)XkK$X@Xf7;`~s3(lW z-Oy)x#Y~A>^K{3erEhM%UPJaJJYSM8&pelp!ZSIY@6>Bg4hh%_G)6ntH$@te=;;gC zedcVMb=?XA+?;M=zPB%S^(kZ}=h6JnVY3;v-E?qiz_%$OjqtnBkh6V^_G_k{C8x+W zu=&f2b62nKSqhxT8>FpyR>sod~;k#ppmwD$M zgZR2$b@$J3bK4z)FGbt!Q00A!sPb_~M7;He=;3+Z;N>k!)PDR#bt>2|^KE2KuJ#ov z@y#Fy#!c&7bsy%^^Q~A@HyzGqWKgP&y4YE3V)&@ON+E%)?tjqua4)zLKD6NMpDO&( z^y9_ZNBnw_t^j5D0?jsIykFxJsX#{yG`aMD2yya9wvC1w+Z6`JB+(b#t%8uFo-dQ0 z01AfKIXSYzzD=Ps5b|L$<}?HUpZk>h5|+hhAqzKK3?(Z9@(u$ zSZ_(vGZ|(amHlY-TI#A2R4p1Mw@{tIUu`S<^x1Pn@7Hh)jRk6gOn3L`R*Zyp3P}!V z8-tEAbf|-8UsNhBq?TynCwG>rqvG8SuZUsuX3@T3>qg(k{Dbud5Q@M5`jmEugvrsB zy=HlK(RT;#jE!z7IZ;kdLXeXDV{sxx@Oa-gv44ho;=nlCYG_e;IHPmN;b{^+e~KCX zBcO%bYCCn0|8tzE8`CB^KbVbe)Jtdlv~x#Sw+~M07NTbSCOU1~F|mNAPfi|_ zE+P{OOEX(xifNn1YkuWt5F{){;*+B-(7{L?ds0n{fR5BH+5qIfV$V%E~bo2 zAQh9NqQ@e*XX%`SLC)sao2Dc)<tM}!p44&%+>kW&xw8KS8}q0CY^?0UsyeklJH*Utrws{ zbt-m!7ybKJX28(X!vpvtLb@s;cR?edhE`Z$kqh`V|8FQFjZyKt8Y{PmYDm4U$GYu8rHYA zUgsKO!c5yQMb{J5#KsiQpST?0*dl{q>0jS5xj7oZw4EfUWPtvDF1diGAI@(7lVGILcQ`BN+X6 zFv%~9g^k};#@&`hWjGszm6xj}%+NaP?4O<-K(yE?q0xFT{^A)N`5@EHb$EmX#u9_Q0ZLzrDFE|u*K5)RS9$w=IFE48X zrWj%G`S{RAcdhQOmFwPqsq6JaC)zxV*Eur%HwI*eHm$NBOb|(X>pyR%v^;Gf3*!xc zs+5}JN~4^uHjIa}1S`Aq%}s4f$%gEkNWxoEDTWuAVTq`szeg>QqlW<3(@r3Fyq}94r4UV0AjQv6US@$^YI!Ir`1X*tx_?rWFpz zxJFyGFa0c79j|KKBO1%F9$i3B0=jRbRV_J8PPVgG{Ikkm=Vd$$o}`*$LtH;c_$KyZ zdj^oSUobEbzBZ-#`e#A`PeS|?Bk4tYE>J9>14ddhXLDSCoV5pirZ2l+8H-n#lC1e~Sq^A;V0kn6c5P2BnSOY2Nl#@! zPs)S}_JIt5Y#AON-Pim6TG*~DMwoAQ9xBzs&_|JVB6T4`?emwPKPBzkmxPl$CUCHt z2uHZfysK(`e)4~&fV#r`TYzHAJbyv<0pO+eR&Or@`)+8DltI^U&$gl5CZRdtp3RrX z7TvvcM_q(!K*nIY$z>QZ1bsQuq_+w-cnh4$rxjgKQG zQU*Cy=~hMbr-wldRre+@a0S&1n)6i084}tbcC(=EI3^kHz60XHO~U_5wa`5pAk}Iv z31EN?%3T?xg0 z1fRXIm8N7QL}X?Vsi&n3%RWFXT^BlV=}N}m7nWg*91*q&>N^pVIb0>Bjh6O*{c%^h zcs>Tzfz>mIIAj#V_g|jBo8WwDVXBk8yM&G+ll2w|U;WEgr>JBKa%u<0Bv>RmkYAv& z5zb#(_xmGcr`e+`*-(@+G9!jZgNdpBst~koMYx67xp~(6H0J+0u2Uj9TO0JMq8u+> zDj(W`Qyvp+Jux{?_FEBxLmUrIxbvgP!}Ie$g^FQnS*+sVTp!mb-Z>pJicuLaU_Phk z=T7|ON_R`)IK%e#Gp3?~#Te2viz|kLms*r3m?*E#^kN4_XcwEb*SVctCbd3#{Dsa@ zLI&+;U6!Gpwv(CBrLmokLF^uUV)Cxv{jZ5ceh~f>C~Sj{bAclQ~=l!)zDIu#z@-W^H=)aL+XLqHcdetYJ%+$f(W_`da z{X?)X*m?5Coc`?%JvS(9{n;PyTqEyRzYu(D|05@_2l%Oc?LP)7Iy3f%(Lc@qx)YUa zGg|2k9Cx24inFy2tx}*|j?GH92N7(Ve{d6yaPu0dzAxtNpDaJfNj*}Cd3Lh@a0{kX zCdPUK%P^))n8jgRdI2Nullx zHsx+%PjXm8mN7?)3Bx4|3*O#q9`Sv;!!u{me-ys>fSPm8X~ix2GUX1Qa(f_WP2Cpz>5U)u;?VzG(5wPaKJ)Y~@CM3+Z+r=zUd zs6F1&`cEC zIPx&|)RRX9Po#%w5SmrTSoP_2aMJz)rdobjK~hqkyfQ^aQqm>qdlVko-1hSCpG07{ z=IZ4#pEkEzs2IEy%rk|*Z zGsoZPqf_|Qf-KTUqrxRj^M14m30L*+ z@4=)XK{GM|u%5bx!6YZsy_tnFS!U8Xf8P z*Jc(w3X}2=#%lC}vr30bB#4G}|TGWiL#eB1l`+CnY^|-!a z4Z}A&D@&u_)09KKEob3?)mB$WJ5<&lyt7Jl0t5DS(MXDo=7Y+lZZ;z6+%pp+JwDO- zqCe7e<7U8SQQi~FxN%4d3J=F#FhxpeWxP;f_E$?DSZb6~)1fd|+NIf18YiT$ayms7 zsqUkdkf#mMQH$n0r=g}Uj?^Avpw1SsmGsniUvdv;NzTEhNDD#lQbdjIp|ucWj%y!L zY?7rC<)K4eDgW~$?`|bkPKkSGrJTV&E{*M#-p+&Lou|<4Xw~%%I$l;0ZRjAj)Gchg zN^sQ`jApY^dl<^Ig*Or z6=ZZ~c%tS#{%O40QkT^+q9TzsYB?RNRLs4{0SU~H>d#Yni(${NZkUkv1lA+b=P#)F z?y&31b#>hLdP=mzdQ8yBXX}9>>3J|ZFe$Q(0}<)akzp*S)d>k7FeL2^C_b2>WFS*Y zO0I5K69#*urR|C-sKEo-muUi&Ft-2D>(513Rvqn~E324!dUfgsP;&QHdk5r>~<*TEQ-oDS@Xex`avXZLj+Uwk4V`EQoGjHNztENvI zsGuXF<5ivxI8DYUhIs4lcbbO0k9hkvzBl{}-x-e;3=Iq2f=?1$Y<1k*q+~GCLpowjsJ`wz;Z$=b5ryY|^(hs<8Lx z?;H5Kp92?k<<`Q)&fKN3YFWn+^D`7zb9C%`9(YtAZ$D{k6m5<|Gvg(Ftqjwt?dL zOLCF7s>Pv~#HsE;reXQEO+Z>7sDt|b7Xd+gj4 z#Et=C<&@)lS4F)_;?wVKe#Kv@mG8a5X5IUU#p!*cKO+s@3oL28(i7a71J??#3Rq;6 zjZ>3(2~NUZF5{PXD9QR{}E`lG3rj8 z4L6;%Ki2t!pXX5Id5;Imm9^|+rzs2iHwhg%Y#)ZvAHL;w>^u{F=Yp5Zbq@@Mj7&7b z!tmHCnOS+przUHzHI|X0tas6JPRYirkaDc+y=Oc&^Qhb!__Xx+Hn_A5OsJPVP8=>P zC{a%OLC^lsi)%;`gG>IpzYPnH7w9rL9~h~c*qPFJ=Sux6Nob2dk@ZQAIO>aI=lvM0 zB#4Hfia38z%lUom`78Dozo6>A4=mpn97{m@RR`dwbDK zf-s->kjw|PKzU&u+Lp(qlN-)=+7H3cHYrfL&%CubO4^9kcluXjZ`mr3onLy?SO>*~ z^q^kDjET#jbLd929jWWQR5;bc;n{Of@-!3DP~0KeSo2@mQ1<)zw~g01QPMF+YZCO#cF zVcuI$E=QS;?oUyiYj;c&^f6)lwmOzj zZlh}t1BXg&m@fr_*0xYD8WZA@dig>{uIz3s!-86iyx}S(qr57KzT(s=UWdxk28@PC zK?A{t&w-2-gN#jx$4c9`H1%~IV>ZsXFCRK79286={k^k_OZ8^UvP*;XNf$WGI_j@J zbt=NV@pj=ZeYC?)z}q!mUC66|?E0NSz~-ZoR89=ufPj@#PZ%#BOusT^2|n~{B$(2r z#)68at2jgI*ROFEH0`@9<9*>^K77dKFrH*Dy)$=>{)L3N*op-1&i2g0bYMFZ3-^|! zZZETs4e&Jc*}jyg&MxL$n1lIve`xw8m_q&GHN2sY7(rUPplRKuOVnRiWSAdWw3wGG z9|ruJ#Uk2bWI%86^F4w=U*#oKV%T%x;4ZzQ66 z&49@iyVMi@BY<$lELYNDXAVw*eCXMu&13Ax*tHi)vPNb{E2Bpy$B!bBr_;)Srm|E# z(bUE7B8Vw}3f9fiLcvaYt(+U+3@El5pKELi^{%LztBt*LKM)L6i5{3}tT%g9P4EeI z;Mo6h!n$N7{YhGcmr?I*6iMw3@_L{tl73K6J{91pKb;e@bURzm#4Bv`f@di12fQD2 zw9-s$mAG~~eBa9mMJaSe<|@`$l}7Z^-8HK<@yfVn5P6*AGpz&m*^`ZIXgnTNE-%DW zqrz|oF$!7k8y~a!0gHQ2AKa5?x33iU^&18ZU$v=5+$kRZy5n7+nXIC+l#MvfT#cos z`{Dqxlm(6wxp8PY(xv#(nq~9o?|`B>if@*_?$_2-#9UJyx4Lv}hkH98VoSg4L3XW^ z-R~&hlUN^}>qQZk;~uR`F;6BW8f7mv{MJO2RCh^gXfz5hQ3&q~K|hGi&@aU%yTAf% zV9Tk_iX(&RmU#Ski}=kA?jwh9!1L_BYG3jc#95@L;bEn))g>j&xV&HGm%32~d77iE zt^NKeR90owFI7%~Yy9V(S=3-x#V?8~LxLryIp8Na^9r061AHIMw%!<)_cIti_F65e zh=hg}a-HtY8D;3F;l%!}w-2$S7kKU+hhSUlVfk0K<><9Xa?+e^|8H2BJCSn8){@63 zPCkKZUcfq6T;vfI(wDeLZ2N7rliK)-ba3-ox$BHWjNIv2j_N&MSGM^op z_ockMRjjv--fQ;a`uOABrXxuIA_51#>4xv?%uWaAV#C4;c}zJn!@?jmTzF>VEmFrV z+u)0=te3i-#E%o|Ujy^MF36N;F|)ywdPjee0stiX%+?nM$Es{=4!<9%A7(30 z*3w}i+!Fx?IivGh-@+I(^FstY+;-JXn)0Rl=SlA+0EK%0jndaZO;uBzcNb%0L_1!{ z`vMNhD`xHP(GxZxtWaPAkdsTzXnC8Nw_n-L^_1|RSr&WU<$0Pt({Z*|y&3#5rSB|G z5~CN{eRw+fXd()jiU!%MEO;zz>^O%`(?9GR4(zV_pAD?jurk_)gD&|ZQFQX!w?>#0 z`N^W%3)fL(r6s2{WF@(JnUA}ZXbR+QnIa3d9FOK3a>X_A`J7L1px>DCq+`=kl2peI z=%O?}tGPa!+t;_&m5T6qz-c3&eNR<_Np^ORo>MT~x5Rs({)Uq}yOD0sjFW!BbPHO0Am-ZGhPRPtc3LIV!wBG}lfEnK8#$lH~ZTS;}~n+r%($}C@4&uZtbzML)oaGgvt3aJ7$Y_|!=Ts?Pi#Jh8* z7rCr(kVgTOq8is%!{^vhc?yl5pNl8h#>uYng z#r!Q8nD<=j0qLo(;rELm`STjWq4$g$in9tcP|ANY(=~rEof*bec)@}rM$0(&pw+Fr z5c?Sk=Ixin5QTbkx;kvt{i?%yCvYy(Gnf=Ed$?PJ>45bHhu1`6nAEUf_;`q4Y4 zdIk9v<1;WY3*OflK4O)!?wRn!R@i!t+)Utst&?p8>b-qN9lrOaLVD^Ea!!)Lre@Vj;`zGp{BlR_(w>& z+B5GADV&m^tnQ^FIQ`jnPp%(TTY0>zoEMV_N_mPBW%1e!va-g%zOHRw^*-Z;=Cv&_ z)~e_VD-m(2`yWQXq|G%G10~0wn>y*Y&L)-M?@|}*>6rtllzqd4NYe12q~&FA|8Dj8 zv(HMH!Z7RQRR>4WmGumHP7`G^4&89W()rEh>MCGhP^%(w#@erKKw8VL59{lQtT-aedhNx>oY8~6-IC{ z%ix%e=aF6*R#vY-#mjOM8&Z5?p})JOmW*}IS*Crv8g57hezxN9Z{;Kpb#}z`R3kiv z9)Gk_Nm7FQf>{SjbBwPV)y&DoExAf&%gbZ!x3YXUg39eJV@M8nCRj-$87P3p@A2=2 z`qMCoF%y_>?-jW_Y;chwp1l$(&jkixOau2Ot>)hnUUiHY&vIn87lbLxGX3GJZh^GM7Hf_szs`jLIQ!)I1ZUhXN4*Mq zQL;fd7R=>shc~DnHY1Mv6hEfy6vM!@Zd(LlHytj^f53qgUow)N&t`)2f;0l1t5o2g zC<1VntvTf4a})}iBy=0tLCS}K!8ok%nff=(@YKb+*(L_?Fc+oHQfUOkqMprQlZwf( zogsp-d&C&SsEDT!AZ=BrV{Ck$*Ni(QC5fI78--G^gMgl8DtPO#1&bEdC1*Re0BWeR) zS6nym?snl`iY(552DhpmS`{ymnZtE<)qk|F%52iA*R_H+P{(f5C=X%#oQvFu4H7pR2=eP{J;HXOx8eA2F=8)nl>bZKJ;x8QGVT|*EVY1BcYcWKb z(~;6c-fvJaun3c@WM@byNj)Q9d#SIa7GqgY9*GwKwV!HvT`POQg|Hf2&JIkX&*+r=U^kw?fT|MN1Y6zA}Md< zY-P%9z)v|53l|vZTP6uu^KrCMDi0lolH)cd&hZNJQmS1T_$#5>DjsN@5O`%ylnZ?Y zhfmJm3baDT(EdfaFgn`+T(}W>!iB5~-Hs@HvSi3G;A633WV;fGEY zk2eaxZY|3b;kq$uh^Zho^Zm#R{i_yo+PLtLGh~bg5_M$uj+y+R!YWxMPC{t3A46z);}E3 zzv}-A%1;Nza2NW%u%pKLnYGP6R%@4Y&g70oI@%n+i9ii7=%s&;7-2ahiLXT+?{GEE z)I2&OVXaAVfz;aF|HU2VO{@01mDKRUO%I@OToUVObAILv@V!SSyeRDr%Bp)F?jC}D zD*PoQ_5N5aEX=y_&(>q-1-uLt>qp-kv{8T3p7rscZQwn+a-|wleE&QN@Sg|)Qj)-y zWJ=RNM5LC|2|~`~KV`1f<6tIqy6a@-z@rB9suhbwS}zdKFVMz&|)dT6vRY3Ld?;kY7?2bcs0_6I9{-@usBCqZ!g^z5>34GBD_%B zyR)NTH!~ZXt1#Nd=*o{a`ZrAkl)bCtG2|=5Mt@aTVFYEl$HYuF);s$QNLy}RUR+ux zn{yNi&4Cge{itCKa!yEx@f%7pPDyaG?K37}EQbS5AR~6n55j{+3=XY=ZG3WatcRCf zHX}6)OSD((Ykj7kw!xs?j@_%q670Pp(dHflV3-*di!LfAmgpjHU5%?*+NkD7rJ7|Y zVZdzKoA|L+SqkzsD;Uh*YZ}Dej~CtW6J6oRZU2%50xwxxMd!s#k&Yii${HbJAfmj( ze%_X~oY=6d%Q4MFnM;Ci z4G&zzFxo@q9TT5uE%QfMaO6)$y}8c45xLZ_m#zvb*g0NSw)k2o+_^&#D1^Lqdcq;5 zi!Cal--;u~I0{MLsi{eL4ZY4Xog@-$@f9<9$GMo-(zpJ35Ov;kZIudKU+{VHQw_Ui zh`qUTS;8(QzYj`vQdxj3ZRa<$Qx4Mr-1Uuh#*Ozb`opsSNwZmm`$ziFZ_@Qzl7pD0dP!HuhF3S z*xTZ(DOfoot5kj%7#E*j2I^vbD8Vh>I6Fs0X;Z;{J!YVyw9KVWqD03JQr8PcjvQIf z|J$1>QduB6{Qq}yE?t~Xd)(s^!f)h15!p^P$S$!YXJ`GS9wn5vt|&kzuHb$7>*)Q= zy%VMP2{i%v@OzZ+`I}+kDw1#AX_<9Nvx<}hsr#}G@ok2)Gz>MuEY%|z*bKVH#@>Rr zMBm=sU7PI374IwL00-KPjZ7lMjgLmwSZu8WW&Oof2aT-8M6pi6=wmRlQ&M}rw;Wnd5wm=&tPlmjMDIs#0>fj`=lPyymT$g-sO!x z0bJ)QN0r2yiRs(nBk*4XhPKe);NUUUVmfbcZ_C1xHBDKB$m`4({O7{o3GCYe<{Z6W zeYZYazEuVbBal{4Kuwaks_afXWZQ^J9$1`pu|L12VMAun5+k!FJty8*bdewH)_HcU z+%sppC;j5}Yt;G?vXYvQzPraXlj;d8)lRt1B-R>pE<445G+^HfWQ;1Qo6XhR$IjLl zg(;2rm4#%FITpex?U)6~wJ1i^Ufxr|=F_ffC6eQ7=qLAFl&AgZx8T@t9$<AsxU1979pxIvSM}_8#wr zc1nt%Vjw8|ydJJd3GEQOvg*+VQV51%=02_CC4K&EdYrqW&1u!p-oIORRsX7ioWNho zPV_l>aB)_dev`PI9CpEoVaOnnOxD^Yqd`+krTaM|bJ}b4!A-^6(#o$(dDM4~;C%4+ z#(zcv=`Oa%`%zrIJ;A8%PF4ICtC*Zz9MrsxuKOr-Jsy0dIDwABSE-Tm^=q9HrFY!V zq3kk1%vNDP?Q2}%@|GNArcUmc#f94WnS~`YB3eyg*kcP0dZQK4vQ}8 zp(`Ij9x}cd(3m2mNaHFMogO0Ay*e}rC%QJ_p#3^=V6FZaBfa^#3pY0!5&Ij+OLg>D zFJCSXvV|Hyj<11eVF%*q-Ce~0rb1SvJQ9O3?vX9};&+b=zP_y8t(BWhM)^P2D7_s7e{%jYF?DDDbey1N>E& z<>=wLXJADN-d;Ml0_5e?+z+upBg-GLhi;Dn-X-R!Kk=KO&ZD;xZ=YVd0W0{Cd+95>-WRe~*`9PPYTV_#XvuhvV&B#3n5p)?>AW9%gSp$&~`+HR&^CVXF= zL;3qJzvZLQ+1f+DG1bDD)QugK-L6o_n+Md{RKg|d=we=P7X0SF9Qi}{qiihmRo8Uq zX?F7@e?MPaPQTg6*}|+EyUo>8e_bky4<~WISy5g6pFqWWl95z5;**j>w(^Is_8&ej zgeemUU}*S3>WTS0Zt+XgO0=$PrJe*cG)S3UjTO=-6b5`x(! z?Wzyq;B`oU;-ZStHxKqU5cQR)EYGgy-d+yA% z!T}u}oerxr%LZ~xX;-^efK()r%CcQ?ALA-`R&8z@As2rT$lA!GqebmPYHDi696`Mn z09BRMWoGB+a}1Y6t}fJRt4_Pc`?4O9W0krRy1@4IymjGy(e>+jMfcchKRa&b{M&`k z!LLFCv56A(tVxmW|Ma|U{+t6c!6#=%LYlS;kBc^W<&3`>2W&!Fk!ngTn&twY0w-Aik;yJ7?mu4MTvVQRY zmr^&bEwNqQC*X1a3aaAG(5x!h=Il^`iXqYmSzL6!m5B30*pv0(98fwWmfpCn+}$OpUOX~S__3?`F?e5TAVk`uyfq1!Bx#?Nb|DV z1>$QfE*vDf^|pa!Wo2WI)=@0F_1QUz`1!x=yIM8Mu#TnQ7sf{Oo2=qeCCR?H?rwT- zNP3Dg2-p&|M=(Bs#rUZE>_;vSsi~fub5eHGUbGrp z+bA}qL|=u>xm^3$k+AUSKyBuSbE>Cvzwa9dUPdG}>HH zr}TgkXPYcAN3Qo}LS42Y!+yc6c1igglmA@gdv9W>Q?UI1t z-Jcd#JaVJfadkWdf9JS~c5}8(^Yob7J`;A}pLoFwpedLd8NsAWM^_B(Vog+?j1L!z zNdO+tiR77 z%UzjVST}pc2Sg^bI_AIfuJXCRp*oU&F>SLD;QBM#ICqpdTmAO#^EOI|QcCcFu*dRp zM<6H*th2!W+g+?ht zrjjXbyj@)TR!bu|@iVENsCaDvxQ@2&UWVOqku!>nA4T-hD+T0vTf7BdnPn?=u7!&m ziJuu{%xS#KJRXuRitja9=?{NJEFHG`)n8IYkqc@*y#hal!&7WAv$JDKkni~~pfT@T z_^l*0-og155}*KdsxQb`Hb2uXHMoZ-U^8HL&V5e<{n@rFIBGcxO=ZgHaaUpO-`Uno zbS&g0Zr3K4m9HUFC4^r0cMUZn8ez2`XH5Q9nL#GTaWd>8$44e5!RKxe0EjvLH@!Od zvq`(f1B$BenHnBhgI!R`OCJVsz{n0NFg#J$Qm)7fczkc?YDbgH|M&D$a68l&U)rUNOwamhN)EK#*hxTMX*GukF!S@{> z2Q_Q#mkc14ZL~dfMsqz4F2_w{+F+^?fB2aU_NYY z(!8P}j9pz^o2yoDR#XhM`iRSHP=%(fto)tBpkG{Eykd3U9{NWjP);D@9cZ??JTj)X zN`;KCP{?CY`(eSrl#*KGXYP&u^7kMzd0gRJb4{K_dIp+1Ra#c0#op6o4))jFJ=r~x z*9(%|Bchi}+@htufuXTK3i3i&SxA0pn4()U4oVn+933WE8>7wapP;_+PzDa2lCt@P z*lF_Bal=uF)9Dk3``C-pPmdI~^L0NbKZ4Pi+KwmV;N#-L`}+FoH9Np|Tpq3try=CF zst^LdNc0bACgYl%9Ge?LOBZnK_(CNyR%t4eWje(ld^sLTh=oHIb#=untE7M{Krlu1 z?%lh$T55s*{vyotZtZ@s@azuDZ(f3hCXe3vqFZmbvfdxxfK3#3bmTx=ko$s(NdclQ z8H|UA_amzeLrqO>)_DiI)Z8eCZ8POmLPBW$uMWQ?rqehxQ!^sro6&JiP6Yf4rt`Sm zhDSm|;<8)N2EQ+f@9ROE)M=h>QtLkQBlFl%gX}*&bDUc9$JqrZgneUXmaqS!_-X_M*=I^m|~S zbGFiSyv5T^F^vbX2z%2%mWBmosYJ>u=fJ`kYcd2ME~0JA;1yd(tlTtn^Q;o<1y zq!U!93D<+1raMQY$bSO5p&R_PEh`JK*!_CNxFH#l?Z; z1KFCB<$aA`c{v+23-j79ws&^Iv9hwtDk|a$kN`u#J5z*jz z$(pa2N(~$?n}mg%8{f1y3hMMn=QD<&VtB{T$F~fg_cz?crs&XT8_!zAc192IY+h=Eq(s=Eq4Gc2I#sQB- zd}?$T|7>XBgO)w01kCNLJ&}&U1VkhxP;e{kO#=(b36xW(E#<5nbpc#lTq07^weE0S zaT(yHAErxn!XhF%kJtKC%MFCVs*r$di1|LPKL>bu^%ViUsT>GP2Ul0=4FIg*aC<1;_afVR6*8VP+vLUuVh9x;9v(b`Kz@F{_ODNLnx)$Q%gaVjj)5$$ zqeBd6$#Yaxi8LNtcFVCBvvYIQLPB~FOAy0dPh%oe^48XjdU|^7URMsYfB&uk53Q)F z!Grq6&o3z{VXxHkjrL|MiFj;M#vF^IfL{P#IEIYVWaVJRwRd)PaeO}cFqA1uY3OsE z2WaWfXQ%}2y}gJzGO^N{nn_Ud8-`%|;RAx9p`l)b11vH!az#ajUt}aI4lZtR4CrZc z1EmH$j_pE&BRp7XFzfV)0ie;{(^EoDP7Vq;wY^cquYql%ff13(^WiRQkfOX~y!ENJ|Y`-b46mza=E#T^ugOrlb&gUH)@>a!nk)!^IZI%LDzrztu<# z%HRDeD>-=V7o(b+g`Pr{`zd81v$C;a0)s*3YMIc`(V>x#M$9Ss^aulSG&0LuTcN_9 z7jGmaBp`em0JTtDU0s1wPdWa{SCY`vBlGg|0$Z0DfLE#*8d8$-+I52yTO6)W%>J_; z%HTIfMn=M-qPk0Usw*tVsZ&x@sb0Kz^Ryn(PmPiQ5EJ6D6v7pD{{-AUJXT{xAKv6h zgVwi{qA7tUm2d>}kFhtt9$BcbIevJn6hKCdhG7&86<;Caa8 z1tTeZj?^I-cki+~`c&UW79Xt|@JwpL18JLSngNuK-@ zVGUeN?Ycil#lV1cdGN0bn2rkEIQsM;va~o*q}|!s(XKX+9&<$aQ*I~<(vHJ4swz1i z8Clfz>DJo3eVf$d!#x1|Et{oQ^3>GS6hXJLC+IB3r=g(%sJaS5PgYjeFE5V{_~4f> zUtTzK0U(inN-vDbU%tSAtP@2kN`XtS*bea9$i{{liWKjy0POQQZK7e2@xhpx0sB7B zH)!#I{3*apo?|FB1@U*Zk!;ur9C69#_UD-64lNMt_vUI*fq}XzP5Yp!L{feKY-b7; zz(r4nu&2XnH!=wGuC6Y4etv#&85+=*^Mf|qi{F7tDfrhf{(!(h$L$F^X#Vg_0$rxB z5QrtSUISJn0gHIO-M^q18b0u}-$i{Xwzs#TP{H^DNY#$3k{>>NSUy_m`jV7HAn-2T z%-%j0EQaY^jn%?I5I`h^|3(Wvef^cqP3W4eP8O*_AA;Kd$t^UXlWEl!qrD)-kL4*4 zE;PAe{%dl3!tbAS1d$wo<8j%};W25JVgWgU{ljmp_4W1Tg)V)kFqihLPA0i$RLU6g3RLJ7ZEexP=Yo$=rE79r zLrh}P4Wab8@@I-y$Nk?@*+&l#kE4r=-aLh506yT;Q5zZ>UQkhqJw-^*lUvBs{3n4p zL&jj=zkd&YC@?-g{wbZdgkn;f^hDr8kr0TnY|h`UdlnZdKpOo$I{K7SzXG-mY7HFl zZrT+_{$q|1(f=)zU3gsVh5z{RV((uQA^2@}9-ffUP$Y0VE1=ktk{bW91|FM1^P6&m zmI{Xzab}$=gsqWuiFkUYrwG}FQWJoimNRAKt=F5R0Ko+@FfiP2FIeE<;e!FWNCb7X z=^11kv>y1}k6uVp$Bo579v$7>LbI}{fHC_BO8|5Zy!pSF5mZvb1Y#D7bXV8c$k5zg z4D$q?D|dHyMs{{FK|u%$&7W}rf_?eAT22OP(PhBO0revja>oMaCxLZ$Ra8_2K{S+i z5pMm;&CN}(*&SO%L}YAo5|q@5Zww45WMas~-oC{W5*7}AiV@S7uU>Tw52J&D8?f{t zIXN^owzk+LB#cjyDp^_zT8qJ-FAvB8NW;s>$UsXyaHC!bRF4M~XD6!3?a%~Bc1K4? zZw8ZC023S|ZouChPS)l27JlJE z;j|9~@$0JUY7W;uZRg!-^w;J?&>%4ff%yBktdPfhk(}ka1UtF{tc; zw8aTr1lGpJhTY@L@`ITfGI=P7*52*E)eIohSGXM-T;1Mw0eV3}LGgQJga8^S8ZV%1 z3sSwlx!DPf20~P($#ox!vtogW$WV4Mq5~=ugI2Hb``b&WSV$~n;n(Y$+FC~dKhQ7% z(=>x!Aff#zEsX-djY=LmAPZdJ_VQ3hQ4y{6_CW9{mrTk2Z=lgRI;!#%DPm8N^2zh+ zhzdOa|H&m+$7_~jKm4DT<@?8(vW~$)R6vbFo;Y8zFsRc31L#;}U7_4;snz@c_{WVRl=F=< z#LLpo)_x=`EiHWkPLTryWhg^f7m6D$?>syNfVYPN^FZSTxG2Zo{=VZ{FM4-R4>G77 zL?qt4ftfBhjD@n+g#|qz_F({8*FBac0R_F>{Ct$Bb&>u!SM#d5r3IUaDD3RaS^NF_ z&YqrU_KVHf&~-_~g+|Jm++y=*c)+9piG_b{G15I%qBWi^g_>mwNSlt+=8zaLwd=vc zE9V4~JRqdJef##!n>Ro(4lDd_(CqFH5{Jp%)iL0j-vM&G{{Ln*>t`Q7e$;F8A@{sI z2ySZ=1+ligvf{tDX9Fb};|xz}bzpBO^)(b0Iy*ZZKstdk_o}L@Cnv2Q$qLTG5@HoIu`K z1MdaEKLmvAlZ!Tkazh+|B;fkuGDVdkXv6`)lpwzv0RKEg_VV_Is*b>E;OXhT>_M9+S=OffBzEyUzZ4g<}^lCA0H7RA)&F_k6MuJZ7ODF zG(fkW6dKs0<70nN&Oi$Z04&h{h4pL&Rq4;4za~Xg(NEUONTk?x{LU0hZ0tDmQ>; z;9?Ch%#!Jw4PpT56x1-~hHbsTXE+S8; zZu4mYPx94yd*T_eTOi08fUo}t$(h0>siEkMNg>n@$Xw;84fz_YKZrg)K2L1tG4#nE z07Ec0H#Y(3bb?ril2lo_AK_uY5?9mUOFYt1>vS7R=~{9E?pcdUR1W{w%o0iwggGiY8XEySv9OQ`2?=@m`LkbU z2!l@a-xj^XDCU5ba!Xo9#ut_y5iv1>azYcXwwh2x)QUq=XeC{w-j}|2?mrThkdOed z{~;&{MW@yp0d5f0lMbkI;K%zIhJZVNLg4}%h8?~P5uXDxfRf$ALxgY)yJI3(1_!a? zpz{3a@AvcfznhwthDA!s0!=NOKLT+hfcoPjdM%aF7h618Mwr9*{Q?3I7+tH{9E*sE2-bjl2Q*g(&9aVQTn0=cBE5fZ zl9KmcwRkZ>0+>8|x)@mCH2fZvH0>J$o?A6Z7qcP~~_>~`UilH0&lva+)J1O!M%xqyhhwzj7BhM$}stwJjl zQAGw)cpjjlLihUcGs-fqShGAEG$J?X5>ToT%k^gO`s%%ww)S&fT|!urfuW(HKchaQ z26Y-9ZqE<`ca!kCnQ8VU1a%JhZP)&C-(5u+akVo<>)hDT$z|f>d!nqYYz{3T>KJ&5 z(M-Lw`jZIDLfC#Kx?dk{j+Y`J(wBEfmar1_{_6l?q#}30msNpJ|2Z;p{&(*_2FdrH z9u!y_o$xr>OnPJK<)zeR6cr!AQth11$<7YGd=HCT`v*-?zSrfRlwQ+2Twh;b#wE=U zKwrh+y9330&6e>wIf>tyJ~}%3?R?u^y!}lw*q{IAT1a7eYgHKD^*Wuu51jGo_VzYr zNGEJs_$Qw>kco+j0XE+UR^AzYbu)AfpryD-ORbNNo*q$0;p?}Jqc@0bG zPjbwsTso{h&9gV3)?$R- z9X{wwU?;jBLns*gJ?r8F8{9%bk+S*i?0xra3Fzos9<1cL2+j$U$)`72#knP0Dm4mv0$^uB8q*s)1 z4g(1lNaNn$);o*_%|w9FK*MCPf8Px>m>fh?K>55*Ymv7sASZGk(L^kxfHgsP&E1tN z^CtO1BcJF4P_}h&@DXUNYa@9f-{DzZolr&Gyo3S-I)r*EgymL1jzstu&;ofI@=8-VW^IK0E_g*&=m7NfiVgwpdzOY zY@ndP#luH$&_ji0)Tw>|w^bZ8Ttxea-$lX8OK@vgp91hrhBqrnwRpw^z9oqdXk2+YVJRZQhYva_?JWne%{jP}beD7eqSz#uJydownK zaVb9b(#3_lE1Vb&8cTmF-@(nKz|QB-;oOfzbU%|5D_8h7Y5r@<)?$6#J{#6_a$d-0 z$;hT0WByCaD1u7^WEwPjyj(h3>7BHhorumb>EG&aly@8l;cbxxjjr(mt}9mqjX4&M z%}?rGcLqV+2#Sc9sHVGpdyWw*`x2;i2=oOoMj?eF^Eu2-IMfLaIlA1reH+?79a%9l z{KqM$h;{_S^yq}#xq5XDckN=o^C%RmUqU}gpbWfQmw0rkuDR13CrJ>~+b z2oeN6`8bXW<;f%Ifnl?ckI#2aQ4kiP3-l>}4hspPprezy6OZzk8ie0iDxwT6#(ay> z{8)N*SuqWi2M>(98{H4w&i1K*hxFFk;r}3oOHg!hsQh9iE-EUf*X)r5k{v=jPv)^J zvv5S_ln1SB@9;1eEXO)YbIcc8Xz;t`Vi~og^A%D|lPF*i`q@Idk0b(Jf$o6-tI+fu zfXm8vFa9uQ2WGN1SwR6?>uI$b;OD=6V!IFjyMVhuy`w??BWnK~(rG9eO7I;18cCO0 zDRB+BPP`R)lyu@Q+JndJWd<#Sa5J=9yo5~p;>W7_<{ksB&jIa%NWevYG#|c@qo1E2 zAY6H1-ARJ(mH7i$w3M-QssYf{*uAekIt=Y=vzz6q7w5ch#(bPXFu$Gr27ssN+2qIg7JMq9{ z{&KII6d(oVsO1DkRF5$w6&0KDk4V9GHB^r#0GWUqQW$aQ-?XuiWj+BVE_zwV!$VLk z;9(YU-G{{dYIihH;AVY{p?OJ<{{sZY&^QLo5fEL_b*agAmtztW6So#rlH~u>dPYZ$ zU~x>LKE6H2tWp@;8G`Q!9!CGb!0^aO?_m>MAOMxR!9c_cYo>k&rGH(Y4ll&wcP$fe ziW}6y(N^odH5wP>@1fCA!xtf}qKCP7%{rh_niY44iLo+ieC8fyyb5N{;f`bu? z<7RJS@Gj?G6S#4m@vT z@OGg`py4#yrGgGfPjl%|r+4}u6Z0n~KC_-E^wfog7jg9Jh;Ij&$PDm+^`CE1Pz0@} zJM4lxI>ezewSHF4K~(Wu_a6~`2L!Ejm{4C|pUkN&`nMRN{fSFT0%*X;W7HA_!i&%H z${5zO_2d^{SmjpJ;=V7!L109n7GQ7y+Gx9LK;TXla8+y{hdun@G0~lS4@IeCkb)mj z!%ms_A_0|UF+v3U>C+;WX`s8cwllrSTvq#2^ng`;SxBSwK7D0GT(ShagJJjPD_~=ut{^m3 z(1e~bF)7qFd@=5c=Cu6vsXY+GYO>xg1n?w>N$+FW@sYB5d;u1<6&0=B-330SIGCsJ zq!ko8`};#DC$&Veo_z*+7Jvpqy97-+?+x1BW=;}ek58Z{fxreyXypP$;_bPXa*Ha& zQbzRye}<8f5kW(Shoj(OTTD|TAt`1E4}cC(=Y1m#vh6ZBSU!e1QPPy;AVSEIL`ipm zGU-o2b{9UuVI>o>Up?+c$HYK2qXgQyo{Ek6<0T-Qj!KihTb;JgK@-;bYO4T64Dwt# zpd3D}-5mv@@_lqP2ADJaOD>y1&2IROXX^zS=1}io&yH8~84w#*5CD+_Dp*lli#K?M z`{RQ=bvs<_=g*(zCu*vzX?3b;K|H~C8GlR$Nb*;Sb_`%Zy&>xo<(zvU@6(I+!G2|i z>jA6HGv7+3@G*QDP_sp0w{sb5&xGm$golR*{76O6XSi&_eV%%RU7;8stx{1^?rw}RAT%csB|zcYKYDeRMig$KpvP~wf;sVj@eL+ej{ldh`{Q4hDm~n~0 z-fq~gcMN%VaKlpUD7lw=D_yRJ3_1oC0jNM1=mMRe&Q3o({g~KdtOSLtSfi`IADP(3 zMj_=?o!xO5gE2+qjt%Url>M=1F+HC?1$T81Wu$DM@Hr3q!`ad*&5h_*<0V(*>2ki8 zCd<8Xj9OpFy5DYRKH$>Imw&>nU+-5_ z4Dz85u|oXQxHtAU26Xjo{}_ETGE+z)-;E=W=?MxAZ(SX;vUL}nuijKB`{O0*PDnUj z!gRUlktbqxWC`adfz*vCEntsAt?`q{H6SZ2EbLF=iBK=ru$X>~#06~=e5k)$TLU06 z@Y*jR1FeZ=F-YgK8h?C#jm&=OuA2Y$a!ICyDR`u=h;5)GtWc-%LH@apx!jm;=99QY zNi{?IW%;B19z!U1DX#oJ25#i82Aywb8BlpL9$1(3Rl3Y1WZik-!HKB-nU4TTne2D$ zi3bF-6`IK0n~ulqc<=in&|4f^qz-v^s2!8P+N!T>phY?B#a)GzIDha70KK_MbXyd>wG_-X5+gqiZ4h{vxy)z-SH% z6xczLeaqmfW&ohai!`|#@%1auVpsU`r9awXtzF-x{YN^3F4<92=nNi|!sV~3tQQT4 zc$Z%U9&b&3D|{P%00pKOFe!9n!|Tg4Fi#~hcUrK)a2+1S=@=?Uz-T;Zxu8+4{mi-p zbdWLjDrh9*s|))0%6b2eQUEuu0@fdQ*y|DAZsf)Kul6Fkf4?Y&yUG6F-9&|}0P}wj zI?zZ%I+f#eLT8)krK>f@C`=#dV)r%7_|gk1r;{Oepbr>G{`{t`aUA*yuBP5+23JTY5vJ-%g)eKcH;+N zqPL{VsV=CcjXsJWG!B@#%u= zPd+QSM9q6dwyVv1xOL$(`5NlgvEJc_GWv!cvQVw_(M)6c_~0Y4=Cb@gHX67#nSU1wGBYRQUO{Fd zj;NE-2O;dt&p&%`_O$KSuUKHg0&>5QLGWpAZVo7c7G4RP4ICiW-_0)>HNH^-{0~n^ zn9yWevYV>(2f<`COWRZL#2UU6)QiykBg?<_W_O5_$5=QQF9F@WJKE?3XffIBDF6i? z2k}!ZJ^;oXL8Av&i>ly#8`b-j*zbGD7sAUOpLHJESW`VXyM5c=FTf;>m#qk|v~L}s zo>=tn!LzYyB>3|u0Bye`UD@+puy|t>D&|xMBy-D%iZVIn8hSaGdHspVwVrwbDj=76+AW0dqzzUMz;6k_P^hiS4-DwZcJ0Boz{10eU#XJ^i zc@~xc^cvwu`uh5y7>nh}#&OPOhz5w1>l5~_6;#=%DaarChuOjnKqoFtG1aXE!HUjo%lta!?O8Eu8i;RsK`j4 zoJCgxT&}-sWlRKwC_}N|zlKOt8n%YYbaZucSWmKs2_@XVI|Sl6JIWbQ2GEloPIuqT z>s7tzK;)U6ojV5x!v3fKf8j6?{Y$|I*^hh)dEoo-WFUJ3p8kNQw`o;Fg8)SUhS|d3 zSN()MTB9ofM3*?oqdvJW-oqix`2OXM7#H_ohKRRtcLeDw=oud(SpZ{`V+SGPP8Agu zPmc%zcKw~Kx_>X*`1+|5j+p*)6>Ln}l278SrTTme(I!vFkdTE%$j<`VC;_wGLWF2Q zS}fVrj(X)BVlhqRdz+k@FYT8TANBbZhWx0p!w9@`&$7^4Rwh|KT%7WSDxtlx13~Q$ zA4dC``b*SHDCJsU($H#@5IEEk!G@BjM)(_- zhodjyaAd1#L0=5Ft8*?yMS=(yz_*pbv_81QTsHAO-|_wRn7ey>gF(L*t?=m?8Hon$ z_OsdZJ-Tkf4e(6WCLOK~&GPTQ=r>}Fe%VZqQ=RG*9c1alT}ruZf<;Mw81F}T*{Tf` z%hp#PI;p6R{u~`sE{1tee20lq!XcWw0)yVGL({M+Ki)?R`GkrF#DM}3B1kM&(~o@x zPqkWF3swe7Y_7oWX|r2z-PJnefC8RM8*4j zkv;Q9fxAUZ>gp_!eb1=r&?$t*@J4?uv0Cro2)^LTfd=662o*#KQEqs!h}R7zYxQbv zlKqRm(D)=ToikH@!ul(2fxqHa{tokdsl9eS?{xo;80Hw&Ug?D4fl`7$U&PZ{Oz_L4 zHD0*|X`0`baHiy}Vl#Z(j?KwzhWwptjutOr)?L zEuBPf`(=EWZIMIc>;18BB5u;gYMk+SD^68bLlGe>ueE-OCT;sikfwaySvYOMhroND zMfqtp=0 z=BKsNAd|F#APLDm6Rk5uCxhl{`1*CE)L{8Xu!8KDej<^iPKIasV$S4z`Pq1)MV_7G z?%)!kb7m{N+i|qw8E{ltkeDPRtWC4qCK5S!LcEyU=bUY{XrWSm59c1=NWOj3P`u`t z6aJq++FxAIUcNewiBDHdijJ3mIufGn`TldY5*anKFaJ!yewymeZNgO=#3P0wH-M86 zNI}h2L>dE|kV;UH$YAczl?dqqBvl~CMIja5F`|OGx{n5i1Gnv;AMoWrg@@-uxKlof z-5=QAvfM0qA0xo%m+-0>v~Dn#cwv7^*q|Kr@Rih%rXLSVqzuRDWw^oSpZoc7NJhIuBupZjkN8@lM6>KY;5Y5F# z@od=)FRZ}2AD(8oS=QpdyM{7xEflK7NXSk2kD4~IdCs}J|Cb*H&CpNB@6w9b zO=)-vPgk@8`_y^rkBNgTqMm)c;Lpm->x{y=VRzrgZfm2^;&pVWJ(E;Omr&Z(4OM$c zXsz|j$K=42)w0(bIGZ}zP+mPH4b9^Ex(v9;Q2LX(S3{OT3A&Z}!XFi}3?Q5Gh(z#o zczJzo4S3-T80KQ*x?(40AjQVQ@+~N!0h$Y+U^Pv23;cgR_kBw6*)DSDHs$iohqJ-W zS1Hxua&l6ei__AI>RW~c%>3%A6zHIB=f{^uKrC-TmX7UB8*-6GX)j=)i=JgKl&cK* zVDHPl`zbd(3Yhz7PmIn5B4cx}1y;^yq%L<7wwx?xv@j12g5aGw@4_;MQog;mAu5B5U=NlWXb2##jF#&145spl0dNtqnuX2*Oi2OEGxgfxpFblZ7z1(5-P@Zl zM@C1Jc;65a7i)V|yb%7*bYrfezgr-NTUD;uf0MkUph}t7OVGH<*2>m%Sfc+B$CF9X zJ%HVO!sz%>VVs2ZO=9DX;KMh6d<$Z^$4#t5Mvyxx9T${o6B@~Rg=$Hb2XGw&q50mq ze%I0To#1?&Me*Z^o=Pop=OLLW;LhhR zM2}j0IpQo30<~ykaoE_L+{!A8y+2P-wd}3cdp)9@5lYBE7;(SlHw37 zAy8qzr!`?A`>sBeb?3e`WwgAz*IY&5I$FH4xIu;?-U|Iz|9$^2zZyd*sAS`oA&YKV zD|wCipa=v$`WD_&C(edeJ7BR>US%&Ub^#UH<5PKTUpk_Ecr;qwsVqx@-|Jd+n=JUiv4?aT;kQ+fmHJqDmN)F@qS?i*O zWTxR@C66cJH}_LlOZ78$@>9=k z?jLrhrGNTa1Tgl7>=@Q2UsSAdQwl~02uWp^7sOa`-c>&+N-i6XEYxdSY+dAN_(G?T z?E~-Vqp#f(gWK>|mnKqr|4|-OLZ8L5pl`GZ!`pwSdl7a-xDblXRV!3seASrvgv0c6 zoaRyU>VZGz&AW^AAwpA6pgIs4N`V-ZYQbPa#X7CXi-A=d5Hn1`VNMnHOolslXBXbJ zXE{+8*4*q>HvCv^fRKRTM>Lh(H^0*l-Fn427?jhFORVO8Tez1PEu6s|7|NwCf!&t3U9TOPTZLi z`bKTTK!;c1*OmA4I-z0BBB+k9X_#hNK_Ovutw6VfI?vu!W3m5TYcHW1y@ubx;^v(% ztBRN$*L#L!cX3I+0LVQAy$=qZ=?qv3BX3ku!3yq#u%0rP!_ z1$%;s61tLL2-x;^4s?;Kvl@jFzq@%%RMquy=d@Dh9w zN+C>@MjwA3YNd>Nv9aPFf5CPdK;^I@!;7Qi)$ETqB!;c!&=uiM+*dInl!!qw*%G9f z@0S&>^5Z`1&nTq=HD%j#shCu1F$3MUKsSF%Orn?7pj~!m@j{w z;~s5tydUR($)>s*9i80PScs!lGtV4>t4W`D1wwe8 zDQTXxfa!*wlT&q)(E59Lb-VBHtp@2lY#nZ!j&o8xWpR;y5JDcvB=-6G&~#~XOc z^?GJsf`01cBx>=p*$87xhs*4`8l{(=MZW=tQ@yhEH&+@xj`)A?2Zm>agI80oV8t<2 zW!Y|b`F}jf=uQG*Xf9RKfNVnK^G2 zzD!=jOqVcAZ9KMz+pB)is<;1me=<5@{`bc_F?pkosb4a!UBhB^aQpUI>;w`tQybS^o(EH`DFhfbBpuD9KBq9VHv zB9W70IWDbD@^gDWNlPzUNZ+>g8YY@L69DZp>-|JoiT2lUR9w`rKM{IgHJvK2*FNPq z-aV%>>mS+q>V-P;q^h2D(<5z*w>+LC`PsQ)+t3pLi3!6@NL74mjT$lAvAA*d;jGGx z-F48~v_G{I(on-g^ZHs^yk3{Qsx&X#CT^${Y~&Mvb;O?M^(nzySB-?$@f!$gzThN9 z2E245N0%+eE0iQgeSd=wHKA~{;LPesFixUKYREIOX@h55*h^B@@+lYn6sz~2*Ljl< zcKc6ot2Av^wij1BXed=mKX8po9d~B6dpBHnG3&s)rtmnVj?4x(=DykAu&D(3;nmh? zbJ*RMICL5-I_M?F2v2Pa4M`CQlA+@)HTZ~!Zprbhha^b6|JQQM?rsuK!vu5gH;I)h z-fkwHzG9wMqS?bc(>f{u*0sJ}zbva0p%i3K?s6{X_*H?Hrn4fK+pbbf*Qr ztSD7KirFtpW@e>DW{^Y6i^Nc>{v?cUsWG2?Ar`Ho!Y=fZ4~7U5IVXdjad`hYvA>48 z4gL*6qFfe)A`L0BFag)?$mr-75Ges2p+Y4V+3ozWkX->n6hO6KgSG;uBmF2M#SKv% z1m}i{vO2FTe$YB#weIz?v?%3DW7TZHEb=m_br2X#2N?_8ZAD;P1mN3(3xv`R`53;pra4$)$`j#s(Lx^ z?e8O8I@kfLIr}X`;lu);K~v9fc`hd>2Np*M+|N4aO}wzDCO2g&Ty`)o0aI%PPoBK7 zvg!ln@K>!WB{mxbQ6R2?)|K&fUGra2QZeNc3*T1z#|e0^qn_$IMbidOPjUzgw3m*O zN8`QKDP_oi7jRo=pK%Sx2fJe>XZ|21NSW7VZadY;t0=e4>gTx0<$?awZ>||`z}&KM znxjNAWF_m69E$kA-H%@zgA}`Z;XQoZU5x+qNbV4$Kp$KPcBQ!cjDU%c~3=s}h;AI15vDoQf;q}B$ZsfA<7t#_4TV~BQNu=&-X>*q2L#w$Nc_V2a4 zF}ewojM!`&J7y)W=s&9T)MaGj>?bLZ3q(kV7gigr8}_Jo$0+S&>^ zu^6N#BDKNA`7=MXvI+CepAq1Tna`A<*nZuCmmoUT3t$*+kHl%k(LNuQME~Y=bT2LS z9=KDnX9g`OUA6i=E~LD&A=Kzk{tN{rAo(5=@kXP2TWjV!HhJLys3+om7aeY+!(QS| zdV3C;&1>cM3X4HnPx|O8%Wy{-jj!E@wb3euyi(cyiDt2f#2E)uJ-B@dIevMDKKjF5 z$@|N_h1Lc`WiH~95>@{S(EogM#PIociY%#^-1)Kl<=W0tq|w=lAc_6X{37GA+r^pV zRlERuU3Mvnkb5}53a1^B)VbQ7e5b-_%bJWLN@}W#lb<5MALNhn!NfUYsp&h7{Pl~I zzt*B>a{f-02mUVqgIn-=_cn6!pwQra{XSFe5p~A$MCn=2UE1zYFu?4 z{Mo_%*s}S8^uopM?EYU)TVWnjx7&YRcG#HSc@H_xX@;)N#A)Z;CyV-IpWf()+p?t+ zf3#bOVOI7hTVk#P`Cj19VmU(DINGkk95Vv83#pooMvn`mrRu_8p?h$EH*PUx&Ycxa|^T@eVMxz~O;>|{Ch$&+Sq)bm$~-j2-JvD?4p zzOajkbv{#O?|%Z4>)4$RO=XsZOR)y(*fG<_!!*0_5{*uU>O+T_2u^x*2mSvsF~v zsIc_8;`Y)L4V?%!3DcGHJ3HCUrB2w1@x5P;XAes-xRqchl4;UjPmgl8vo>DFcV1tA zCOjze?vNI2U-#g;owv@;c_3K|Lb7STJ#Z1^cxZv^vrPh!S-hp!;DQb!XS%RwFD$<# za1X$DfT78FX8j_@O~`K`oPB7M*qE52;KI=9*K1s9+Fo@;=({LbVO;uaqK!myHsJ;l%z}02s z<&8myfLv@c;ESp^?e}W-&7`!n2tWXXnP}lYSI8RO{ysBv6>|V^CJvIpju3%eW)mm< z2$6gEYIhfh8k`9W`0?Cn?)3+o+xLkiHz3_ewD4bWrv7HhIlFlEHoqErR}6hj4im29 zg$ZXG&&;BP`RzM|@vj|HDy2KfCAU4>>g7mJ#|*kyU$0WQ{CSsi$TTE;{UJl&VE9|= z3rt(ho>(!A*%7;LG0}=AMOw->%Po$&iILEw)1TYx9f#+xj^F>|i7UoIXk^Y(ZpdF|qLmy&QAxTc8MHEJ}3VgyM`Q}MHf#V=P$W>)n)@Z8zs z-;UY8*G+r)fj_VEJaEI<{K2ay?|dOMV8f7-O@+0`P9Eg=vfcfZA5TuqCUrwcrB|z_ zLVDG5Wo><_1%$1Z|Aehs$XcR&CFIebsA}wWzjh}G7H3@O`gN~&Ol?soHhWLUbx;Ju z%&Wkmw_5m3P<7esHanbRrPddFAFk$8MUa$bQi=3+>CP4H7z%C_U&dz~+q5^Tzh z6|IV?l~T|URy8muw6~2mo6Ct45vrs0g|@a&uH?O)UGI4}q3KlqCOoX}RoU`NSIl3x z<8SvJJ1Am-<6HM1CC+3KHElemAb%FuVtaR4TQXr|MU6TBApBFF*`*s{N`G_fSdYbM z|CcVRx)s9C%$amfTANSdYN06xkK-kr6UVZw!%bR#_jnKR1P>3emuDWJsyD`F1XBLY zlpjwx`4cnSL7B())u>K>;;KF7lY(NwaIyep{x!|(33`j~_X=dys+DZaQsc$NIS9q{ zm|r1A#_5;O2w$5DzB#t<~m~Nz>1!g?ZzZdt9blvp$iXR&WzD#W` zyOM%HMPVbi>lFQ~d&mx3bM3vv6KH0N`MPsi{a16c_YSv%3M<$yB2q=^qjvutQ-y{- zZfOlg$tkq{ogA~Or&aN`b|f8oeSab=90X|!BT$h&#+>U*-}8!X`DWXHRZz&hOt2rl z66T-@SKcPm9BbZcDa&$C*dgFD;ofGZNosJSD!*-TFp*yqTT7p0bhhz#c}uRFn`!Ez z`yRa}V|l!%``*t3I`8e-ArKor1&1S4x%k1f!SAzkSa?`HcE4R$wYyyPw?1ps8OCpd zXgz-Og|_b~^2=LpyE*^(_{SIFHhcRTepL*%NzVJ)b&cq^vfj+|jf>cJkm;4x&$GTp zRZ-^6E>UM|ra2_+{r^g7l zAkJsWde4(Cxc~b3h04Qf@H9Rb8W7#%$8NUMz%H1^EBQv?1MxhVIyODqU-qX~+lKV% z`tm8U#=W=3TFy`7dq|bFGv6vrp0~&)=$TJ_c{Hu#-k@j9&c~r)Ev~B@QYA31(j00y z%j&LWx8Y3KMS2lF{Mm&ozx))}#)e7H#V%8vt@F`oVf)2TqhHn<*R_N+4cuys1(*~D z&5ul{cbhNmdOw9$6sN9uHm{D9zNep<`ljgoC>5b|?k@ea4GpHpqj*U;n_!uC@9p^r zdi+a53DS$&e(ftlsi9YWhwWacPS^Yn0a2dyss%a{HPdTi`<7Kb zV(-DwwBKyS$&Xl*Dy7GjR+K@o>d6}Gl0VBBuT|@jM>VaN{Jmd?9~F+0yz)Y-wlnQ3 zt3ms0eU-6$H1AxeSEfO@q-JX?_-?zs_G7{6#gYUt|Ig6b<)|?VyidaYq$Ce6=G+B> z-n*DTA46TP)H~VNw0>~P+IB~jYIEe4Ux1Y9nPOVw#;-lkn{)sV89M+`?9(>ZHq0H* zjy+|y603|yzUb}ji2?Qio_`-dA>@pE@Fj#P2L_m8exwqzCxt?CKPM*#Cd7(WDAVCY zfw3ZWBN(#fv>5S|iJ{KQ$!UjpC7rfP#U~R8=|Y^V!g`7wyvm%%OjlP|NnBQVkdaXu zOo8($>fH9Sd!4y$reneGd=@9W2eWRxM%#Q=IJG8Z6qCen4Y6;9o7b?e7qz zwU}!b0@l2EvC~oj!BWeb;lQOaQ^+;b2nnS@o{9DSvGvBULNNyicErrs?Ch($KGIB& zvwg@nqp+})6K$#%2&Id7D*}o@)WxKjuw`MDQKspxs+abq*$?Y=J%DFMBR30CS9jH1Baj2*a1;SV0!) zVXR5STl6X5h>O^sN{o_I457Es${*FZ5ypJ5(<0|ydDj@GFb_StN6a zvEHR=+C!IHy1>he>Y3jzCZMjSk1$r7lQm-!G_jY?2noH_OUZorx{S5lHCwNJbz11$uiQ~s2Ej3pw@AZxcFGWRU-F{be5c;2C7 z29uH;2g22^m`q-1VD_iaKdG=Jjt(cka%O_2ZPGo^$b&RJ!CK%@QPMqeZhX2q#}w_B zvHzsjzq`O#H^0bT*VG#O+csemos+PSrnKO#p}8&uN1yG=e{GvN0MLN%=AX!o$z3#0 zxE=XkkFahFi_4K`*VQODZ{E6n7J|qGH+I8Hkx`J#kwh6AA}1aD75pYl&KNZ$I-0p# zT2oeDMJN7{V>&@ScuG0Qg2O&>LirSVr* zvC;e{z1z9Bra*K&HUL_yj~aQl>x`k^N!UX0OSSxjw~EWnFRdN;yGa5nPi$F9$`@&i zD6(|X(cVok1Z=&}J_-4W?B(DdXQh1$76M=J8GgFdmn#iS-3#@BV~LAL6#6K6q0V~` zgI8NOwW=u%jU6I`B|2zUJp!t0l1OSwAAVaQ9GGor1%TkI$GrMQik5~n5Xl&29Rt<( zrel$nx|%U8PI-m)-ZfTG2TcJ-v8Oh_CI^L}aNNfeu}Rk*Cb1L2{SlmK`R^R3Gj7H|_0L@M>0# z(GK2x^4Ob{Pw^vv4ZFYM#Q2CIyg^E@-sPjWVwwpk@A4!Zq4pH_==?o=Vq?`pAEF0^ zhYc7|pF=iMujDPt4EJ=lQa9WFg~F&^7cSi1wZC&$ z^WD*xf()YwJxisG&Z+{?y`BH{g(pt(!WpQowL%wl7k{w=B+%b(*bZejhjZF!86<5_ zq1j!3r9aWfycO50YsRo*2IpTeho%dr{M>yo&ZsXMRunf?V^ASS(a?F{M3y0ST$zn8 zBgxv>TsldGYR~Nw`Q!ov#w}h@$2^OZ4hoAHQai~PadmimVJfTTmHb+%z?AFw#_>F+ zS1AF6#(R&}hJqHmwO5tWU(uH};?p)tcajHi(<_GTOFlfiKtU(`wfd{YjMFQ=8rhzykmGNo+fHhiC8;GvZi)XU3q3$N+-BmX8{-^3e(@h-=Dxg6Qw6i&x z&g#8Zj_MC`p$AK({&_d=*XEz^C=RI0Ztfl4jYz*>&6JYL`}|00s{SEJzf#mOdw+Y- zNCe%V4}~+u-DdKMSL?kMsQ7KRKB6zIK{iU`rDh;xx>|T#aEEhk(cuSMH@{~2`AMv3 z(|qrErWm?4r%JbUCpS0$jb8PGVf)~U$htx{VqMOqe`C6SlHzaP6cM-*U!Gu7F%4M! z&P9qEuJ|Xi{Nn0q9EZR3#CSA2h~FSt^SNBpi={d|a<@_Y<+FF^25pQHFC>wzNCf!g z-w!E<6FK}ghtJ$=lGM3F#6~%$*EiDcy9plUyQurK@^#hGd?aqjEKa*3Ixw0x8t%xN zLfzgm&^+0p{OT}A1HqM#1^Sa-Yn&&78Aj%rL#{5RPu6}0Q9E1FjtU)kc2*j=F6rQj zc2?$9;vRUuqD$SGV%nfp9l`ebJbB7ER~Vz2#vdB;R4G4~3M0ea@nnyqI#>j7p*3 zq+f^L4x50bX6g4<$BD7Q0(zK`qvGO~>uz(pMOgQ8QG3ut0I|g$-;6Ns=48YMCh$F#}@7>#n*-gPsiNkPQ7%kro;jhM17rzkwYFCu2AOiH7!iKU0IyQ~H%nygu*Jp_4yp z@7P!z*sBcQ2M}84fJC5^bJbko8QWF`%#vH*Jvk{azHp7!t=oYteLEzFC+nRVU~(1? z%^GQNwS(dO7geS=63y=Chjbx$Ci?$woUn(g9fi9weeI$c;P*u^q9 zQTLc@uA~DyXdga?ss3ls_0q2T*PX7bwVcis+<1s zLvrVu>JawtO37X)mKQju>)GDn%Z)jWb+2j-n+?8^S0)5`jSn#GxU@>qn3lJHPM(;S z&zRPbsN2BlgwLp-U<{CFUfunOsVJ;LBoGZlBcx>nR@Tn%!)gji`Wnj6D?U3=v)3eOUn4g(-s5off*mI z+vG93XfG+b`GjJApa(~aIhR~J`knewktc|G1c$O+WSGbjCOpG#36)l9NIy|72>)l@ zzg}<9g_ajoqa0t&#qp}EdHzP>tt0)3=lH94ohw%5GV%%qg*9v<0vc`2_3pKIx=~lo zPZ|5)fBhOyc`@_mSp}Uu-~MfIs@L_HHj6G#>?hAZnb|FB50?rGS?Xj`;4bcyM?bk~ zeEpaCC9^__)Vg)s^e2fgwPq6ccD&j`y&JXNdhwHpj2-v}(Sxfl6j|dcwave*TaxKu z+sDsb-r8&~_Nx__$CZ;1w&D#!a_ z7GICn)}&pPK5?A-(sN6hEU$ zj85QJ1;*>~jvYSFL4VMol`H+ITFP{KS3BDJWA8azdRBYxR2>$em&|NDcTg)+N?%Jzcb`7Fo)c9(J#R6b{$P^I?;5o~ZgOUIz;B}ENlYv;M-Vlz z#3$U2bh7Q*AI?2LQ^xa3ZI1o?C*EH7~P8-Py82+7UTntcElo> zi4UrISY+cE6_wu3DoY9D19$MfbH3Q8EK;6*Yu z^W$j^vCR7XJE3PVv3CppB&+%r{qF$vPH}_801t)3BBSR|aEJqTL{7x4yLwFIt+d1|v zCTlA*8P%`JhVzSPH#cpmI*Ctnieucv%?&>%!jLj$ks1wc$JM9L1YWcDk)WgQ?klju z;|L0p`$36^@pkQp#RMTy%iFN|riT4}XI57dVUsRtvkpTnU~WH_9l)A@!pn5v#!YRc z>|-ao-SC+{wx$>REJx?AztRH!?!BFaVE3@1{~DLJ%i87!tLs0qcfcf4CSvv{R&})2084c`}5AuzsU+5=FHCW(@N%QGyHOmb+}5}$8oFd z*Cw$&XG(-)ddKrnT2fB3f2DSv@;{lN$T0#VAR}>}jHiFLAk*@d^M*N(Id=Lhugk{Q z*iH4-&!u!z94Bl!T;`uP6LJJLbbnPIm#vYQxup@0hkW<$YT7P^`|6NNP5FD87jQ-e zN1rQ%((XTQ;}r#dR+(F<`O;nuj#BoPB87v*7(*hh4YMb+2=Va?RMIjrPvB@Y$aJE^ z;Q`-)tHBH-CJs)F3?m7Q7Qp1 zAg`|dD#XE-IVKeRWrG3dg25qFRj~*E-#zS!rh=m!k|D5w7`}n_W)BAu8Hf~Pl!9DK zNonluw|rr~`sKSUP5T7Al_+Yt;q;;RP{Z7knx1m4gt-YRf(?;xV&I!D1Jp zQs`1>pcA_jhB3i zXMf1&lOCT~Xwz4*-$+W#Gn<#~FFar!YN0z7JC3Um^%)BZG0qxdX|~U^X?$8bhd+x% z`NXqZ082pA;QalGRWh5VMvZ=D&bKVZ_?*pI8_dv`XLd%(?pRxlm#VRb z+Or;db|I7RRPm(#gSU9J>{bB{p69QfnyzK4l=6F#iOGr_Rz}>s>aEQI65;QBcNXyK zYSEWU@YkeqCn#`Ksyq@RlhX@5g}KYMkgbRrINVl^@=1>jTV?F>Uj3Y_MQ*UYuUw~v zMb3eTo}1enmD8ysTwpS+jWQZnWCF5JH{ei{NY@v>FG9XZJQw{d zG>cw+SfeI_<91LZx>4Rdz&~+IWz?ja)~>&Phu&mb;`-4R2KB)XzpG8*116c3h@j@! z9ZOx>PFT%nlL$6du!)5dj4x}kSQ2v@%h_pZx%VC?J+;>}gV1Z3GB?*qw=2?~Np??v z%aE_^7H-hv;`;~ZOPrXen=Y7GD1{xA1#HVd(3WXvsr~;x%(_Wn@NImc@OSFBTe21* z+vhhZp@+F^mO<+(1EI4=j56|Zd*x<>Z|aM+@a7jz-(4;#Mfsx3u~zA8D@GLNJPf>f z^UG&qxaabK^>IT{{?wyKmT{bb&2~o1q75B(1u1t>`UQf`d#W7SwWfrs54lMldhBKjx5_PLw_B`AnU$T?ob<=-<#^60fmElK(0 z!plY!FS(z;zlJ7q#>9!(4IT;4c4tasEi9-RknI;D_UmGI_<>aU{)fn$IKylflLSYq z(9RyGs-5T@RaOzm1%IzF!+0pYQ0|3$_t_0Yp0c)B?NRBE9-MBN&GD7Ae(UOL*6}4P z)KVwf!Uo(&U8$HWgBOP65^AAJSn+JsblUxb-JJ8v!D*kTPy&1Cg3r>In(lJG^1-xkIKc8scy2nd9 zXdC`X#QhNhivtoKiDjuJf4sF-6m#_BSq938$96STp-&hd&$?c>a2EnFFa|_*+ zD9;8XYpusZ`o!<5?OH_x6)7pH9RIb|SljfV-0>8u!TV6$C*Z9SMP4M4{19FJ-*r`G zuQu`nG*$7(jGAS7@jEcXjKn@L2Hg=eQVQ1sD$zH8u<}PNrKDtMlGM_X5p5rV?y}2JgDHv_sv?&#b=Ix_GB4c?$+0X2UfR(Ftir_AGY2y ztm>%i_9hfW1e8uuTDrTGF6ol)?v#{PQo6glq`SMjySp3C+V_2)bIyBRFCYA(u;stk zUTdy7$M}tn4U_329AGud@O*imdwchH>}Gdw>#lFli9%C-%m@s+4DXJUMXhwgpJ19m zSM3WnHumO2Eg4{+xaYh0>^VkDiHSwp(9y?$eL;a%>D2`hFkM@6_{PtDe7A@Y(WQ^xle2x(IlX53PWsmM+A|BedFg7XsG;Quu(XOskSYQ|Pw zZE*#ynK9D!Y9&-QtH76s=C$^Wi%Qn~s1{$UW<5|&dYRdR7yEe)gD6~`Ct5S_XkbWJ z)`uA978jRoOZ#O6Q?5<0Nl!*rzi>9*+C`EF)8Q&z3s$7rWT*SAl&^I_`0Qa_&&XRK z#ZFWM%P#vfAK^-W;LiGJ#w_%^{$=D(GSzPqn4!I5dp%{QmCmqIQ#zzQg|!VbdRjL2 zbxcp!1I}aZ5_pm+e^7cvQK{mTH;Q}>bIzCiesA|h*rlEnS7d=9P`rzq_&K^4ef|!e z*?-A7>(q9n6sMGiitj>aW{CW-{>*oT4Sv;Fhd*pSFp9&n^zw@Nh(lt;SaW09;V5q} zk9UHf1s*M1S)X?#n^E8PO|X=J$g8&UK*FwW%Yx;Cdrl{S#ez~r8O z8rNXIg_pWAU{`m%BOOpp!(p?Juh){;7c(WH$p!G{-^dhcUaaX3zvhpe7_gRVwr^{= z&egi3B)cND&W(A|xjJTQog6zW*wT!$Uhgq^{Am2P;Rbhk7mQ-6sO);YtCfqxzVFFg zpd4Uf7Q42-nK$0Ou!IyYnl&AFLWuoNCM~ITU=cxXve|4bE4{z2nkKQ_e#i=-M)Uyu zzIa~|p@C2~P0I1w4w%+zV7-ITlPNO}TVn43hb9b6zson}Q4;dbZavVF8WUSD)Hw*1 zJ>9#b#v`Z@80)rUuPXl1Am_lw?9+yEl)m4 zpS>&6Sa9n&sN!mKo6dLevRgoT{v%1-LsL5Bhxcr6K9|RzNL7O&D;KT)Z^S=)C=N7| z^zS1aRMf<4?c5Lz={OdKUmRSaalroOVsGA+)6^p>D!z83XJo9SCIlGF%20JD_!FDqJ2g_SPrbi8NMDi`c?BB~rpr39}^hT9T0G*Ip+4 zDG9CDomow#VGp#D)yl|VxsT$exE{}>ET&o6+0Ga9InRh8PyCI@^p$mUs}3xU`H7ne z6vQZFC}-5z)D=Igl@Gx&W4c`1(Lt^FcrN6#!%;}$#R4>am6Irsk-=leNlRm`Sn zKMCr@$;WP`Swy-#R{W$B`%*CWRGL||(xSCn`LE$_6Hl{Lz3v-utso{XfTkX}QHe*R zlO8|c?GW9i7AT&WCsmpOq@MxYN zIdE`rfCZKT%vk^{S_nu5fqF*=ND~2XO5LDXGetyfT7bZy91fzt0GzYO>jf*f+qD3| zSA=l20D)R2O%RqJd|#!J*|07<;EV51D2R{Q!p?M?8m|I*Gre=}vc+qb1l@1*xqX@w@y7WF@bQ74qCvuN1N8HLb*EvYBm) z(?+4|)o{u)jG|$7G^?qMD?QK_YB9`0lrM|gkMYV68$Sr7NWc>{apgH}LgRK!-&F19rNe;sFfY_3oxQ zj2?@tx^e|$d%s|qUHYF*al~awp(!-Y_-kO(oth%PYiMt_}?F&h)aObjKeqbk*wm-n8Rt7#f8+ zU`c;u-1g6c;maI8QedXL!PM{73!Oir!JW)@${Gz>gX;cA^#gQ9ib#uDA z!o*8vRTNiCnRfd6zU=BVyu`B1y3DN24=r%Jq5A>N`@}FICjBN~Xy}?F|0!N7Ve8NW z^q@wCxA4`zwf2GwXN}cBiF?59#^`~(a=oHG+4Txtv(riOC8Pa}*^Au+Rv#CHLZPQ$%9i7SE+nu=0O>|cCh2k?izKm1&(>*&(T^-Br zk`<)_mQ7gp*@dx28`$SM`zrpQzmk&F9gn$uGkrADhhY>OG2VLfArmTd)ZC29LKP^V z>1_V>Q0H<`*^-}I@DVS;sB_$>Z=sD>-gRjF0zv_>`5c*f4rb3)kH*8$DQE|Vh0Z2c z60{n{B}(!Z!$#I0Ha;+`+eVsRl#E$DXgoKis&7|hdj)m=BGp)&tutc-EOD9|8{lml z7}jV|9q*E|U`=K7E1T&L9Wh-Ptqi5v=nkHy+%hpad%Bre`$;y?P}gDuTS4agq}<$? z|BzZeS$ymho(^q9w?b*n&CVU6Bk#GrVpfx{*oElM!;nk6EECS>IfbI3K`_ta?%uzi z5qd|zjldY6MB6-sh<#4j!`tyvQeabP6??rYo=tskf%WXvu{%@cbDkt3L|#NCdi&7M zVrz@Yt4FI+0~;W$QR}gDT&RKhiFv)8F~p5m?K%}I&Cp;3vcIxBZDAsZ)R*ndnrty} z9lQ-D%o5c~j?3URtziD|)^W|MPp2lL&0Yu5_V`0=YljOC(0Na)k)5nCwDgEU2E zV}#tq?7y45ZfPA-41DuqW2I6uEX!LgfB{Fu(0 z`9=zZuS7Jr|Cnl$GVM2-?9Y^j0cu39bSkYiHwDFSXjnMw<3$cI0rmmasOQsFY~Uk+ z8IDa&ZFQjVQBN@d`aFOl02Xxdug@<4&2f8|KYf3+(!vM$f{-u+K0ZD;Wc)ntoxQz3 zVA}-&A0*_t+VdNreXeU_(g%QpT3kDT^800?cc;>3Ll_F!jx_eovXH=kp&NL;L9d=N z3}CLAOvXu|P%jvdo5W3u0yz71kpL4kj?v()j*iYFXyF57dlW#mtZ!|Bj0hS4bj)OA z1RUl+VDfJEh^{2p2G~b{)L{)M9xxUFKMrJ$@W3E%nhYgQ`9P~{nkFHjjQAa{2Ms+^ zc!GP$P~J(xUa)Lc;gw50QGzRFMbNZ0{lElG;qjaVN(6en0o~Oc`qvLzT0gH}BX4FO z!24Npw4}J}R1FQ(m$r{yyGYd2W{WjzteG3baFots#H6~4Zp~rUUa<=mUQr$6F2wIK zt2dFsW=*kn2kvoJ0D!=8p(qeP4df7$iQ$Hh0u@9Y>g%xJvy*?!Jow+)?N8ZdtCKQ z^2Y}6$hB|0mDbA0rCR6GVw0=P4xYzrPu^uFLak77{T!IR^Kq{8zy>!or5{Je2^k*UsTF@Az^e}{#)GM&%1FvPA&9_i%sN~k^u^cR3T2OZs=W{0hLe0L zTOIJUHKctWGhw!`lqvKr(KY&}fyGq4^4nlp>%(HGc*ltiS7IH-xpHM!31%)Z$tt;?m-e){=xCwu!M9d;~!V1ZuiErE9V)2L=~aY6&x?L)EZBC zE5k_uP;ejn?d#>yY-wNLQ2NNIEJVaziA6hcHIUBz+pRM}$SyjZ>Y(Phy>~2;5Q_#r ztso4mxi|q09kpMi3BE$_1e#X8ZkUb9L-(e+L*eRdJ@WezOUd3sKj8U_{SMLt$^8!7R zw|B*WT&?u(BfXo;K3LzokxUi428QCbSYJZR)1j9*|H-9H%%Cxu zExrfQlGv9=>W|*v5InKFDx_MNJdarCS@R_}I7_7+XrlXeSzI^+o}Xh^%ie64%=H&o zJnSx~V*raX#TAR3h!DI`b=8UoUw_E2_qbE}{!*_I?3At69;+6>4B3wA^kd}q7e;pn z^K@R^%Ksb`b#MSHG9ALJec^55n>yF=Xw^dY`HSD$1g1>B5K8ycEh29;WyGeF+(zz$ zgzJVP8PY=%ILGh5$91)}ysRxM^3{jMb^G*;72WG(oX@#;oQTjD?hQy6)?lhCB|0i{ zFB#8deQeYD;Kpdq$c6GU)RhP=`TUc`H8eRVFc*)o#zLv6%1sSW;Pim=0H}i@15gNr z65viD06Z``g(#VKcYA>=zZUpwz+@HB^?v>R`yNCcwt@NW-a-wXrsn=Y8HST2At52a z)6O-yvH=+|88dSf$gLRz#OcAIAu$OFVnCvsGXjPqP$wIL888^}PE;C6Z*hR=V&Gl)GsORG{3NkmfT0U>h(nW&|oHkGm}_5LO`uP-+tH zA(LzS1=h58AUmlJAf>^}c1=&mfTq38^`R>01l55E4p7L$rr8-?os4Cdf83`SU;z-! ze-;Zd;K)M7z~};4L&#+UD4hV#9WqL$R4$Qpbgb?k834~6=&!y3$S>en=!4=O^!WXO z$3G5?jVnQ1&DPTf09XrAV*=$?5z#<1-M_Q)bw>qCTg^$gSnNNbruFw!phQ|CiQCNn zRl_u6BtuLNlQD67EJNXxnuYc;wyjM zkC}3J&w1^l^Q?5RzwA=v@2brhZZS|tb1bw-zb+im^w%5PS&)8}R_=_tKF%_fzs^!vnkmC14Gx8f|~$J}u%Gbm)RkDsijA6oSX90T%=xzYRF6H@CN zG0ql^K;45WY~0!(6i6>HC-7DxDH4E6N&znB)W`c>zEA1zW=llX$Qe*C1jwC&FYU2w z=%QE$tWfU+)=)a!_vgdoiMM(pKlF=Qm52W3bvTMUJn$D)IJfzSlgTc5<{&^8S@|r- ztX9%2Dt}|(?rP|C?HrPIt%4hbGvE0qT`H;enck0pEybElp()lzHI3L?k%x-uNR%D^ zn0w<;LNh#Mky>SO3Xx~2@pTlH+`Fd3+}hegEaK}$gY{<_vSVduyBTX{gDoT8*A>)I z>dt?IC6OHv#b$_6+x+PY&Rby9srg>wwsr`qMy||OTZ55bj(UHM>#pwb008oOgX+bs ztIUV5G?)jByFr?R2^liOaq$UdmV0jgp${=7TF9_z-h%Dza})Foth%GSVw0A0Ucq^; zqzMuWF+;{GHOOXc7CXmH^w0Ax0)=-{sg-{l(sd+LnU!!pA8T9nw5v{FGhXBQOW%gV zE=(65c|Okg)Y(3fHCz+uDr;W;Tp6i{IlZ7W6E}GJ2U2p|XG`H2t_!~c#Zn~Ff|K3) zWL*Yr=3A`NC4geI8{qq^_UvW4@LQ0G^P#$}M$wM7Sbb1=qa|}E?E{o3^`I)f870Ad zwL*35z!soS8T5Yv=EUj}jsDsb5AB=hj>n(dLJHq6x{*|B?0N5hOyaoXL7V_<-l_4U z?a*pWS5?i+=v_moG9Tw&ZzsEmI;)eZJt(Dz#1ge@TNA^(DX$nlKGV~NJfunLOC;hP zQH{G~^8s93hSf^50p~Qt_UFpxJ4I|3v&Y``b=J%vsOry0y#$W3)tx&Km5C`aP~os0 z$M}Bf*^86w6MFhVoye;+m-BCCR}pgV`20{*tvPuAc`ZC?_Fr5GpR~bl)K7bC z`mb}tqx`Aydhio#(F!+o^5a(&!4;aYzuuzS3Ev#F?RxOk9%A)^7SioSDpmHlQv=!6 zt;Moa@U6#Z_wM0Wtzf!-w-TJ@egW6-Xj_*-(l)TC3oaTt$)TaYhY)iabcSt#wRLC( ztK`d8;#6T@0wH;N>CK9AK1k}ot5YBLevJsCgK5%!|6Xo(Z(wA(1?c#2aII3S4hEM5 zDg$r;3o{r>teFzQWf|!7U2uN`=&l;wyE!4mP2u7~(jPXRpHeh_KQe_%l zA!SlJRtRF5#`9!}A+{82YkH&MBpuM@zdTt!9%gC;mA zB_$=0v6TXJKM=MsFvX0VZ4|^`1`0r?13=~jK^KF|4iq49g8WoTK$?m^(wxFW7rJ&& z4{>^JNPvmv>0}qsTnft~GW zMvvW{E?uFdCOejNfUj_{^XUe=LLl9anGKz(GLqb)QR`5v4wvg!bwyCa!|BzrHrXMf zPCKuk&krOKd8O+DxmHb?g}LD3CsX?8u=n?t&6(WG&4Cya4TW?(B&Wwj5r}@MuUWxCs0 z1AYVf%$A#DuOS^N)`+<;hOL8;MNa|2_L7cDsbo*)|+Qxt!9EHFMiZ0`d|R zO`EV{<7Ua@5)v>)_ezHz#m8SNZ(n8T>E^2zif7SF$slTI9JMgXj+MXiUnHiY!XuP+YUEiO7;Nx3Y0GruHJ6O{po^tZ>;BibVy*Y> zNOy@VP~tT59cJ=RL4HY2#lzq|g{il$cJ9@huI-OuOXbX%Oi#10<0%rV=lSbf_T%Z+ zmktit6YYOg$%*T(=`p~$Cv3U>IGc~!eIK~ut-RImU2svdW?V9|Lj1NFKWvGxTeHOo zALoY;=WtFots3UL7oK22JCx@->wL)`lj*Dv7;-0-+m#g$EqMa7W>!6#5(6=EPUVDl z+jQE%(rv&x3?vdZb`A!LDAK$I*W1KsVApg!Y-y(`eMkk^y@QOs(hzw+~r>fsjYfk)i(sD(R2%Si_Ne2eAO$L3l&>y`!tjqHG4N#P~m}I`mz5Vkg zpVDE1B|IUe?P!&LoQW}i`zW-s$&eglCr2Y+Z7IOVY$rS_0#wqj?DMKr^64$&kk5E0 zcSz4LsOCt|9^Uw^GXc5!$0k9(VHMwjKMY4p{t7X`3JUEwy0gIrr-|7_*&yqwS3epM-pB`GOE9R?%T+V|*4bNDavT=0mU6UwLzWn-`-6n>Pe3-U!=h4kw z$>tt#W_ngu2<`0b8XFtIfZO5L9f8^w3J2dZE0noRFe%&A)%ekVKf0H05LHMJUNP#W>IQI25Yc z+Dfp!I0BBj^=?bj7@Mr#M15&_xmgl@{c0J8I;4yFM#f#Wh8a`Oq-beo5cDyGElW%7 zu2lD)fw)RXLSSQ=k}zX!t=tzb6M*s_Rp7!}rlk`($1R8XUh zHa;`e}%Q72>K zs?|YQbdD0%-43EiY>j(|%4o}O!{!x;3R^!}wm!YV?6~40ZmL9k;PUVbw{D#5GjZ(Z zpt{SHtYVq#W_C>jL2}Nts3PiIMTVLb72HXEJHRiLRmwMcM!^Aun0mc!G}6zP%=2&H zb2*~P#4?)g6XxsgdJ~n;@B+9F*m%G1%53i@L)-}3pIu$AwREC-o=QpLuyMxAt`DNO zSusfdnaPzdb{BnO$d%HYDte1SvaRqJy-7VW{tv^@J_es&Q0HQBwUnmTbv~rdz&A(a zM8?6x9ZgeG#GRz9Z_CX3?*UmVm*DRvqyL3s*acHaX~FTkBP;vd6B}a-Iu;rlk9zaw z|7Zcw09fd8o)t)O|5<6d7<4m-m>3ucfhukCV@(BR{Y46xpwoaMb%i=Ffb)ZMy1Dv4 zCpG|DVBRjw&c*?j+E||KnkxU>|DV^6QBe9MU86oYZZ7P?IqATVTLPDg&Sf_QCu8wI z`DI?SwEE~@U3El8h{o5%E2=^kS_@Y%6%j#=*bKe{Qz|udS1&M9*blY3<`G{VBE|-w zuK#{5qk;S}kk`&AQ6HtHiX4xhLm0%bRn&1-YD!5E?$6ej*73tL$I(s|&$&L#nQb9m*~iV!tEx^5ioCj_O0Xd(OOA`$VK-j$ z`Upnh?Mz|J)pj+E3TCT;qP;Nu8D!ZS9(z$y)cNzg5=3fB*n4}cI!4{#&fGs3w{>z7 z7Lbf1ycH)U@}J+La83K$cS~A8sLxg^9xq*aW4&;Ksi7{xMp?-I=HcXM!E>J?>>-tZ zPtQuvugc(#BLKqqhXPJ_Z3~O1oZQd<^UM7|?-7=+t}c}IKZ*x*^E<(99Ov^1>XzV| zVnf&@Q0K#~d&8|ga@y>TR588#`2+6*Z*h9Jqo2_A{tkh3|DYmAY&^02V4sZpoOeWT z3@LJs?v@7yBKV2c%rq;?NIIoW?yfW|Py}db@`l}yadG7A)7F!VWx*e=R~Bks-ewk^ zc*10lT)`f!T%vhcqD9N3y4`bt8n`oyfpH7MJ1-NCHPmy)NQYB$Zr9Om-3Lk*$HPZT30p7qQpNTF9xli6BzW#ePqn)|T`uS!8;q z{H1$JB9#ycjK9^h9GpPcoRjTj#b* zMxPF=YHUikPP`ab%nYU*uK&9<{A8zZ_`GVuh;!-wK5+*e6a0t{QWyK%x4DbHvBjoL zDdhV`Lt|*<)C4C!4!7m*oCF5u1QqbJNw~NYL3~9F_{S8-4<5YW)CKBGe2|e-wF8ds zJ`igTvH(Zkyvf_px5l5Vv*pd#kq5tZI=B5f0AbI6{_lf}Np=;~6}AiyIq!<5qP*E) zoU>=~k8C^3(ia2${^2sRP-eT>sDz^GqhUYNvx(FXi|z@b3S>QV?SD%XIL2DMd`@ME z(pdOtRKL1?ll$L4CVdS>rOAdWAoN8_+>{cupA80;eT*j>{|L_|d*bU~`4@vClt?)t zs3DPx7|y-#)XN=_0wMIpJqG6j^8-Gre_i~S;sh2$U?^g?T7>#F@uIH(7)7YbH4R^7 zT4vML9-&dhUne&=jScF-i#0LHv*JANkMVI`d^eE;2FPDj>kezr1oaxaOSVms)Ey1) znQd8iz_}KVpjxX$|LT)6rBRC~{`L0#q`iz)7UiEJ{;~Jh31u_OB<;^=*Qu=w1C1;T zVxr$^D`cB%ZG}jg*BQ*5K5q8zA(G_gOx*hH2OrNQgZAYpMZ-bwm+52fR#3}KGi$2c`>^D(yv99UXSv6IdBhJ)ipk@g3|V zpFqBqva&MS_oQABBPzbh4MIRl$}a~6P?>B4&7sfG#{^IKt;I|j8}395XgCX0$!@}Rd&^1z0x%7O!Lq;%+E=op#p99_-LUSkB;A=f3lrw zq{|Al`w&?a2KY^Ek-=x!s2~va=9`CkUlX{1-XlSr?>1!A<52SG2d%*M~T+}xuv7dA0rZ2FX#GK$bYIUNk^J7GVF2iO7;>_i zPz5xUp7Dk{I;mMbWrc9O8jtSLa`4?-Z)1jot+v!jRJ|fTAF_Z=R?PQ_{1AM$W7o9Y z#Fb)9r+-&OP`!;;opWO~#T}Dg-<_+YQ9`vtesoCrNSte9eZ-wGRj8VGcS4BBiGkHO#tv#uUe7J1whIkPf zd24Yvx~m@!Y}KdUAU-J^5V9?8g+4PeMN0GD`R3(O@V-3Sfslqq`NO16Yqj{Di(XEdrQ0Bq;!ZvjC0?L~r$gjyDdE3p1EwZv+r(p8NygZ(fG7a5UAr zaob3$x2hbB_f|-sSVWvpkwz+dvX+d(rhWdO|N-vxvJ8ypH{W$qqGwnE&fVCT|Cjc z<#=A{X~9ec3tly3VWsSBo*tptfvl1B{gr^fDsiy%M)Pb61xvnk&A0! zRl+hhF3?W5#C^AtZtZ{k7P@s&W-u7p^4}Td?fRGKzHlsgr8NCFu2P`NK-GCcc#vK_ z$^vuzEg(xVq+Mujf)8UaGo(FAq{25A@t6yN(+B|T#?AY?C7pufT+Ygwy~FxqNp%12 z{U0A!`Ru2iqNSfQCWBg)Pf)6=b4e>z5ed;e&~dyjP|5Jp>w{Z~__qh#OT6Z)-O2!$ zZ#mK8`2u-#WCS>H{gS%cWXy~_wF*D``WBIo+CC$+3FMK!FYz4K+H2UESjF*w`0Y+ z3hjYozC78git)cF+D3XIRtMYW3zeybY){6gUo9}|Hlq|^PL}mHS3Sf9cz^jc5fmq~ zZ4dIr_V)FWvXeyZ#*ts{j;opgF?dyVJLq4BJ~{Y<@1Y)?@+_53;T=f`Szv#Dz&x}V zC}oY~-}^lMfuTB^Nl%S4GATaDFMR!j{d_rmt>`;?CWS?jFn2|Isrf?Bor{)f+Q-tW zpl-)(saV`;`w~MxPkUTOj!7FvMVsAywUN-~D+R5Js&EVnj&@D7>-j{%Sx<1NQh34~ zFYWY1C)N?*3p-dj)!(xAfd22wHNN3p@R`EjIHt2)jI3;Je4bp=EO;*U%Ka0#8E5JFH4ofg2JXDkjC+8VThT%bJF%AEhajYd5HE6@vujJ38~Z;|jY zEz@A%ynCk)2!Iely~Dxu=SYmf*}L5_V!-Q*2FnbzMR1voTR~PtUw^-xX63Ke21#pk zPDE*;_wOTxK|6p`v8oMF0g9FN;#Rs4CG>c}DND?w)*o@q3-xIA!t<_^sQaJ&R=~!Z zx@%lgZe%R|4zYCh@*QM>-3-lgyWb(^65z?Z|M;nT{!mQ5=oZxuPrFSTA>~TD<)IF@ z{qx?Tr6=F?!S#LYAJJFG)89BgK|{X}26-PR_(18g*FgH7m`CG>t7=9jtbCa7hIYF2 zY^9{3W05bZt|hnlX9i;BFId=#!rxqI$-Ou7jZH*j6Id5rqWX^$rA3GO4KxV-VAd4> z(<}&pGz;?2STD<10kumZ;fG#xbwvrryQ+_w0*X}An!ndCn*_7h__%2!gHR$&j%h!< zyMuYO+oL4B!SMwY^P`1-g22~SzB1I>H|F(s)EaX*;cW~mtyYVW+qVe0V@K`xHfMkE zxu40SDeFfI4?vFW&%`0Fn~0={{uHD_D1}Y CiLphMVOX$a`&pbHa+T0CvYoQ|Wz zJg~iArKPN^M`uq-iU{`nynYrX-oY!BVt`72Y5Q>#^F?*gl1!P1iLJkV2Ux!Fb z>dw|$-4#g~0rQ@Ekr}#krT$j$t-1Vr2Mx*ixi%@2#eQen4RaOLslyjFaRRU#p}e)B zppsC99(ve9zvI$w;43J~F;6 zd{BTYxqTh}H>oJ<0tK0z_e*?7F5T+3{)kcX54)ikS|H*2#KDrBJYeVzY0L03#Aih* z+&etUY$fFuX1H|?wYr*y+|}!9JkM7|i4P;c4$TE0AL|odi^NF*X=*ZZwpd501Nl;6 zgJ|B5J3N_cKi;e;LwmIYYcn@sm3M+h1~LIBXfh6fX}PtdgPA&;he)z<|H#A@qdG>y2gwiGCnChtYbKKiY12Iq-gR zrc}$bn1PRqDhOaWM;m|IbqC{s&eeg!Jb|Khw8B zX@Ab9D+X5N)6Nush`LE+sq)E_S5tqTo6r4G9&=UqV@9vb9CoEu-nSm?52<32UCL9# ztc6t-9{(+;EZhGx@rphJ;8;ZWs zgp)w&!6eEvDypk@d)RFU%y6@IODAyop6g1RV2D2x2Mj6eGFKlc4B-;0DUQ^ivJ1T> z;F5Qbw!8Dc2H-;!+IavA2>u#^e|H0B)77u#M!N7}%aMU_RL97$wWhhGv_;g*=_3et zxy`Snryt!p*MiUAJ$%)ATN*IhTN5OF*DDeh&wNkik;I7r>S9T<%(H-0+wIh#A0wY> zKZgUml8O1uQ6{p&mF!TS4V`4T+{p5Gmi48c4uW4sHv7?tWZm7&CNj!*H*_tQn`@aA zp-=8`@e2KHdM$9R9mPaYMlVgB;Kk5)iP=fef2I9}tS`Ohr zJ!MM4UV+^-j9@e}hbO=+Dl9nAV10FY5SNeSghTy%rKXnMcE42d&imB3!Fi1U@F@2e zk|x~-IIweSM$%(x3OSl>lIs>Jmgz~@6A#2Z9!eEu9*!3HRLlsj&2 z=wnTQGvIEq0urZ*I5`tQbCd`*pDir}}*Vg5F#phhlIpoxBU);?gA#P$j0OA zSI-B%n}NMQ-OG{5g*|>%3Wjg(6dLZ?tNawme9Y{m7Ou9|5qEXU{@%P%fcJ=3;%+Vd zO&B?mRs{4f>gri|s|%1>*G3qj%2=q>wLYdkt6QX!hSLOtYfzTq&bW4)0i&I!K5YJ; zemAJSHVlXb4-p%+{=2q+|B7Sw)}6qaYKIgWdFDpnVsTjyuUwyC>%qH=wxB@rGN=BZ zew!URXGk2nQ2kG-&fJ}{(@TMnqs8KoN!$zK^-8F}*oDg}N#`GZR+-$M&N7MG%85snn4#+sV%9Lb7-jpgwx2^0oN zL6tdGJw?fvFQh_xFHn%%La?M?rKBPuUGO`M6>@Mj*q<(G+q=M;D|2T{b+~&2K3Jhm z@V6VMHc(k|@#3CeKc^q^*a!FNiL3%+#}xjn-|MS&UBb5n@|F71E?qao?TK5N5 zu-=q#&!NH0<}2ve0^Gxa*;Yt!a2$u7q1Vk5sA6m{wxvKsYj9;{Wj6-|_6WfJ#^6yN z6;H%aDFMtmV8Q_~()!L0B+PnrVgd+NK4S)n z0k70IHU3o%qEA0$U)&W20zoCqkHLjjKl#t#q?o)knr(7o&C_D(?f#|)4Lau?D88xx zP4=Y*j?NBu%!?K?ynIb*UL04E-ckpzYg91P7b{pzPqfY?HWI@)SAz;-GSEPCHzg6` z02ugH4E@MbQ1X{Sd9~@=f9{$Bf@BmP>=!)Cn%!z4YmbUWQkV4a5760TQi+&()TTyr zkfqJ^+FPtL%9B${T&y(R%h#PF5)_`}M=-kW5CyJkXe|ta7`t;1P9W+YJHG2Q2_(FC zot#O?Qu^awGR=#)z3~i$tLNha39S!ZPjCD_FLKd&KN(Eo3~P0D&%f80<<2t&Zwdtq>o;TWoq%IpO(3bRtv( zq2-S5x|+2}jWbpH0omZz_lsm4CtkdyKS-^zUeN>>5BVb(8ufBacOIT@4<6CNv)9X- zgYO*T_Ye9Nv_yv@bam5${$fa_QU5=?Y|oR(TY*|-QmkmZ{dYU1y7FJW)4#UuGDz6T zLye!Oc(JU>_xau8^)OdcU2<@rIO|pvq*L)Q6}BcZe{kBs)(MwYZ~Pg6BjK4TbP~SE zRfWcNfCbn15SDRgxJ((E+~f-+=d91%(X1hgOnRVsMezm&1zuCItRE+!^t3Lm0I6BhRGcD%nY7%PK<`+4sVJm1lFdp|h?9yyxCB_-bhtQbgR z{tPODtEvq)t7VX)dkl%U2HD6V>FJ+AR+$m#W!N7t#smEJ;^HE+X27pj&*EoLhBj_+Vm|JHDbdVaIqv)NCuyw`+GtPV(0{E-;_}t>F^)H1wTc7` zxVr8YD;P60h3r6otLT2`Ll4ZxuB=FvZwV;R1GRw*#5th%#=4SOP7zboz&7OE--XjJ zB{Ea>BR`3YJ6}Q>knR!2Lu`EvC-+5?lT-r#AX@j`%6G@SV!1Y?i1#ecYhH`_1sF3Q zb50NZC_>@8nTqlw#rc3}>`!0dZ->IS1+qtS@!J6w#F^~`U;n)f|B3o=+SN9!^ugis z(|LG*U8kU**UG&3R1hJMGXX2;*x1jr*BaEvTBYB!#0cty; zmB0_-Ezn+8Q<)B6!$}R!uYVOpBjR2V3JF!3t$eO`JWgXZ0}l?1NubT{N1EIJT{Q+0 za)Isd4M}B(T+(SbCJGyAZ8b`k^qiONYPUt}+RG|sx%K#*i+<$LzVLMX7;=T%X<%JJiKVtHi@NR^9YvcV?4ckJNTdUCA-Er0J$ zL7{j=Dyk_tY`J{alZOJ~Cb!KW%f^C4V`dLyzD-R;3oF2{syMubcWYrjX+)$7a_%8D zB{?}0s42J3K=%u%p1^wPTv$ky=6i|)D`m7mk*fLm-prr@64MEi{ea?S5a4b={NuOs zQUU%|3vw-Tt*=u0E`1K?^RjZujZ&I{j{&BaTX)bl7?P7*$kAZWG3CrRq=hlwkoQu2 z;a)$MKk`lkV-t*5ddL>AY}|-=|CkRsj*pIkfl4k#Re}{uZP>{F1zW@f7?<9Xbz$dvlu+8HsMq_hZ z9OqW3?HUHAYs=o4C|^|$41GN&RkOfEz+ot+46Z>m_f{cyB8 zY8&4XS^ElThI7g_UP=h^{uIsFyz8g|Mg*+8{ zu6JM}AtqH0+gUr~KfII4nj$=3;>MjW=->96u(m0iVmAV#zo_s{aN%ABZA@D0V-Wla z`PFAt3`bIm%a_u=`sAtAl=RyGi!w+({-O5_BAua)XUo$2Ib^W!%w|fYjE&n|O&uLs z8ROpp^M}2?{prmOd>RO!r*sE%+6w10-E2Ky$j4bC<@>X#J|lSVIH6v58pr<0%;J`E zA0B54$6dH8F)N*xIo2@<7QH08I2m}=MOm^2i*?0$7tvcl%*m0c7ABu}q#qiYmA0YZ z%)3(mdl&>_zBv4MT?iVep>=W+4F`}jY-MkR|51HJ({x5E8Ydx@?+?W*$6a74(NCX_ zvogw&CRRqI6(IxR7Jg>0g*t6Y6o#J{q|4c6l&OG0E&NUK{8sK8PF(DsPF4)WUsLr1Gnse~wDzPmiPXkFND->aTKr|2Pn0^Cf;N3Extya@(zzo65W7+2VKaQ#B zhYu(=PV$FW|Hn3!{Db4yz9PmRoOJSoa#!5TLbV3eWPy@jaIjA%~YN+s4mk8kh@gv4FbBb;)pnC0dY9&!ByfE za6hlwyvwCqqK@St$<8S^Igt%HN|-6k2TodTGoeZsmOAT>RB-0lIN7}V1n#a&BGMbi zMpDTI1-4LAO&A8v-!CYKFP_G);t~_e^!DBzS||_)gF*SEe3Oeq zr!E8V5@7+UwfslW3+45Ed2*^7{QSTDI_5JKW>a^8|Dy#kkf`c*6A=*s$)IhZU4wvv z($gVeqXpV=IzT`N^e*|)u-Kr54ru2}9Gbva%gDqOjf~`Uya=rgjG==`9F_bFKxhpm z1L9yqW`^WgdU3X>YHilw-{RR&Xitug9CJJI1kmd1zT{pd* z#ok0zqM-`I&5-56mX?$0;^QW!KNTJo-Z4t>^|JV+btDzj4U^M(=L;0l)T3T>1O0~9*&i99D5Q_b?eOaJ~{eH(}f2u@`e1-LQSN%WB={R?h&LpNn@-ale}iYHP#Y=;_9wEqWa6TD+ zzykTd7KaK!cS+o9jwOHT^b=oIw}&Y#(ZL~=e;!yUA4Mvyrlk9KPLWy&bq)^=+-@BB za@?Ls30bW~Sx&@@mYWF?ndIFPr-|=P@E^XXY|PFD0k@z)k5UL2IFeE@d;d`6Rt2wI zWoJB=#!8^ZN;&56=1pS|Sd0vghboXr=wHyVyHkZ&z-L^fURSZW4Z)gLR8~q%_C$S= z-(9R@f=K^?uMPzAF?v3`9j~;EgcFNI-Nb8oK1F{Z7Cr@S{R>EIf624TbjlcDS|J#A z0#5rhpi>5B<8nZja6DcV1Alo7a#SVkkzin~xURS1-kGd-0-Zk7aaePZdOAbwdm(}gf<&jBpoq0TIBqq8{?U^%0bXnpf0 ziuJ?KFK=U=F0u-m{#uBpnU8HZlPx~H3T!__5Gbc-GU%G-n{_;urW76Ady?fMF(iBZ z=R&nj)@|hyh-(5oHZ4OBp&wT0vPNd(p;Y4H8DA1V{Igo-pZiV=pRaH|Zdd!8XTXSQ zcOf;d(w50i$x^BMXuO0YC@1(E(1T~Id4XXOa2=f?%4vDwT%Dl6Hv*jjhpJIZz$S!qnZy` zg5d}!zbPv>U?G7e(b>_nh=kPB+xwmn#R;F_P+`7r%NE94!1?{%Z%&p%fT&QJk3CH_ z`X3#yJ6&{(9Ut@b;w_8*PQS{tH2Q;O&xhoQkVrr1p+%aw<>jhY#Qp5w=*aNhpzZMo zhy;+-hfEGlhj$z-qHh+&0@{DlMl&^MGf_SNSqE+J=%V0VjUNBwD)ZYb-FFX3{JT~C^_ zBEP$oCN>hXQd2klg+d^qZ?Urt9chc~wOcdGC&t z*?~bvyNrgw-4f-wz*M79O+_3Ut%l;Jnwpws!`zJ)*2kjIB7cv~vn8}qQ)Fs9cB)vb z#RFY^c?jj{A03K1Mn>|K8<(0pWBeaa5mer~*Ni4ZMZW8ob00wQD$?TdWJ=-*E@sUq z2LnM!A1$g##+FTc+>3Kg++{9q_++XF6fbhdAMUPM9Fe|i7&;BIZ2TaUmJ=5K(f{J>t%ItJ z+IL|TgOU`GRuGWxEF)0Ck`QU>?gr_S?k?$O(+!*M_!hqB{hj&doH;X$|48g- zJuB{Y-B;{xPT@&6oIf5I^ae1Q-f?KzpH3wM;w?3Gw3oChT(yXa3dh!}-6y)OjGJ|$i^{o911$6iS?>aMpYTwfly`5x z;aN2QYFBH~z#4&fm?qLSY<|xzgdpC(-EjB3jh4)PX-Mw;?=P+2+E&hF=LEY`Ayk1S z$dc-WmVL>Eo;8JA9Pzlz+NMV`25708Fa7PL$I$R%^f0JKmm+bLga|Q8@-V-A-B@h;K4_@u*Qi^0&&e(s5xkpp6KV#^bUGPqsX4-B!VHDvr&O|UI2pL>; z7a$Zz?i%l33~7@*n88l%!sfC>jZy4XqBBE*AvMGvKivw>-iZ5~SN4-BL~U2D4la52QRdZ z7Nz#2H_KfS&&UpEc(bBk`mJAHGTbI&yPP1|WS2Uv&g`gQ1tO;XMdin$^k|2?DA9h} z)gqr>+$0Uh6JL`5zjH9w|=Hd>Z;v0 zrxf-l3`T7PUP=qpNLObNW8!gy)vZiGZBGi-i|OcoWgYM z)}aM-GJ9JC2{m#UO-tjUUz1Ag_$foFm(P!X$CqalwzD;#F*yYx^`#h(fAdObL% zo4SiUz2%may1u`L7tFR3_=6W+VefRAg0I~4zxX7_&`l9JSnK>Pq#B$<`vUolhm=#V zP`I}^b}Fvo!d);1t#IQJzcV*`L~oV$F*XX%OA*S$jFihx@A4Uc8y#IRhR1V^CBg6z;tV38yaM_b3R-N}qKG9^l+_Tq!S{zirAn%BpVc@_FMBGUCgecn&l zfEoh?$$?5xP*D+!uJPzOpke|$nB=P~XV06RJaP>|epFNV1bJ+`FYp6l-BB9yV%U6C z6$oP22lnWqvqFP=8<*L^pWp-t$bGJTj-pk@ro;Vj*Jg-P`=CaV4AHxze@EkEeD}~+ zEibZz$>F3^w3=@dIUv+JTg|?AC-bf$NE7@CtonV(eQ6GLo52DT4E}w^aQMQ9BVD`7#4?z|Xo?Z87zmB197h z&U8a37fT+&fo(0kl0sd&Pf46DM)V!pYWhuW3375C>tM6p@t4>6y~ z^%PnWKNse8q-(1o3mKH3+j8>YsVEhcIEfEXtrYQ;U*6(AJF1EdOrPfY>3HEhrvi=$ z7a;^N5pvYLNlmUv?`&B8wWJ~Ip<1OC_r=}scBcnVZmR>0tyY`KCM2o0qzn(oSoS&H zgA|f#bUwzRDUSs3#SLaUj0;QGJNvxne)&W&z}9ka1NnZyDf6YUu<%nZ14u9W3vva> zHMqfBh_JeSS!NA+a}i*4bi0#1?{V@4FNoKLAC)lS-{R;NB-1&uJCyK5wnY$UVElCy zQXEMM7ao&P0IwyH(uyrd{wpTMH?SP7zFyjE`HQn-UrxRI%#uGxgXQ1z+taI=UifqR ztf+8~gT^5RaXUA)fxce4jerjLU#=gMYf z#(^eB2|w@eX%S~mR7$%B*^yI_Y|jIWVuTxbn~jO3PaQTr;8 zM=HB;!%I`)>;@?XEi7JOEZAOmlmAx~ zjMvC>eJ0mJZ03q?txmcQkM`0ao=f^u3h$6q5O{H$@E%UUfq@AK^U_ zU^rp&qZUpc?%}MzjXAOHsOJc#Dpmd-(R?vH-LQd0@#$N%o{lqAZO3<=9By(4lHvwD z6mlR`blf|caMB6rLL4ti5t4`Ayn~GT9}{T&Nl&(P{tAE zU?+pq^PRtJ1B<$_Nn%vhu%O$364p#}D$&ieLG@Ey#YI_Ud46s99D|Sw2YA)%vQ3ne z4g%y#p?6lBu}A04{d*kmdoNPkCX7=49YyFBK^z!qU(%x(qzqq~_E-+x)v%5s?ec~S zx?xia$7g3}k>1fSi((6*`l(t@SKHeLi@DTA97NHI zg;LN^iM&3n%bcOv*yzVZA6zGXLCH-ZD30|aLzRXDRm9#^Ck0_s>uayUMVRq$_g18W zOi*ZfbjgFFgv$~v2JFH2tB^ZcP8#0O0*Uq|21!B=KK^{m)8_k#pWC3NGKd1V^R?kG zYIE9S7fA|~J7XJ3ALi{RhQphWJ*>Penj{c=S#k;{n|4GqnKH6FUQ z_9XgLskbjsbyZQp;pgX%jy2_V`_s^H3gS+=ONbHL<@EZ#D`$=)?wZr{*+19_@C;rT z=9PArzuB^^xHIO)#<2Ys9kXUgVWccBqG`60U6aDE$WOua5Uk%(rw^((de*;LS*4^} zjqAQSE0qk&8qS=7+Rg9bMyl+N>&~=n&;n`C%=LZi)Y~_M3x4w^bar*B*EHhfJ9uTG zu=z(M%l$4lAM4m8hikWJxvNP9&dziGKe)#@1cr<^b$zNMqF>&wS~D}He{Vwjw&P!z zP>|w5b5s$jmtESk8Ej&IR^B?VIvj|{F}Uafs|U+-5{wDydYA%?VM z>zGuO#YL=3Q?{9Wm=>qsemW|i9#FRq|J26Dm`WDw7NE^g;}P#4(7CUB3(lLdtW?bJ zQr##i|6SbemDIc({=w5E1<<|kISDuSU1JjFBxG>y9cthNSXo&C>2R8B%Ano`nKOAh z9X|jDQ%KNo3jycF{Zxt+F=w&242oT-o>#J{;r>mLvkD#~@kC&IB;!L}bpJZdiausE zV~sCfy1I?UQ9ojG*nr{ZG9F2dL3WI|p*3?eu?1Bbnd^!;E!#ymJ3$G{*A%r~%j!I2B&_Y__a+{gFg#Y`&m` z*|dcpPjwP0DIJ&zU9rErz-LHPkk-zx4#2s{y$Mlu3azj;P!)HQGrT-%+%nR%&=uzw z#bK)LDa+Btst{BPQ1Z1%nCZhLNGY6F$oKruPCEMCp!DW=R11xo6LlmL_P9{*OVaGI ziqa)+ou$Rcf14^8_thUK4=wv%X@CEY?7_zgqx#j;($a>3m>(O!V+GQBr;*e4j*e$Q zVvPyX06o>aFkWO}i4IcgE*-uD8;CUr!)5B0hZj8-3Khp=Spn_X(fDbJj%3wSs=%XXcK!S%;@|Klr41cxYaW(&|L%Byx~-rJb7 zyG8l!6DJQM86TJoPi*l_#9nfv$8^O87wm`kW`lBh(=xZ}j9yQ>EXDLO{y3?fLNWT7 z|FsepG~B>SnT$}8@zsm@(S~vwKEfcQj_bEzlQmv99t^r5@kcU8FcsD%+{09l?&pTwbMLXc*0&Z^+!#eC>u$=f;T^u{d_%KqxejCT zvLxpH0FP}X!dV4wXCve~y6(4+=O9E)xy6Nw>yjWlz3i9bP|_G{)yt08mm<>AvtbZi zw!qa$U9xbzp#^_Pr3cj0oqNH>LtE?Bg^Pb_%VUDp^rMivJFz4#n|9mpk)sQHB@Mmh zd&tuHjVff@UJifmSCEu~; z^DT1LdM(#0)+RTqw-aa4GqGftXp=~#@;u6H!G(+9Ni!ig5p~9_bFVT5morB$8=2+T z44xsL7aMQrba!QQn}_CH&ArQ%JFX?3SPc0suwfgd1~Jc%XsJ^dxT}iA-2oK~xT9^d z(xPh+G#~B^Rc$SD#Qh3rD&TEq-L2GnbkAz;-uh8pmZz2e20QAcmriln%FHh-;Q@BK zI=4=(zsi$Hnrn2}v^hluPgI5BZ`z+hV&X9b`Y6$(n%L=W5LHe(r*_a#%2Ra7%desH zjX{e>W1v*c5j`#0C)k(ZK=lQK+g(!pyTv72-N!&X(CP_a43L(UQI;^ahMi-!7{v2% zP0!17=k)~F+34tK#^d6)!P^}rM||$U+9ZrGZVqdc*j$y?8)dvT%i49gU({ z$BuTg8hQXXFy7u0n%@k)cAR{5LCED>oWlXDkrvp&3+ZYkPgRm&W0I!fk@1 z;`d^5D|BgbXRf9TJYKy}XXlf{aBY%ZsKysm)8O`Y0noJ@+MO&43=Zx9sU)BVKABX~ z($Tf$YOQpFYCc@8p*Zf(fV1ftpsM5ojvvSZmp!-S18y}z!NCcf4wR3#kjJN6CoeBA z5*}*^kTNgI66e*tclAYPbS{SPW|>6v7?xr9ms*5Om0*pt!1Q&<>q%*pr?!035* zb=xv;WXK3C+%BLHX;V{5fQpB_WAFiNEk0`i_((}1KXJVV2SWfc_-Uso-tzbN2fkRo zrKOv;b3QV7Z)0N1jUjKQ(j>_~6v2_(;S}=>T~{T=&E1Zzi-XMhfLGNqCutBP@Afj-3fN}wV!!9bBtL7rI76;l3;1GVp8rRRgdD@LdAWFr z?s48=cNPz0*JM~aV2%Ap|b+cs~X{exe;(Gr{7Qx+>_IzK&^usc3C;Ny#i6aA?_Vt1$P!JHAGVLxi^ zWe4;mxY!cw5_QhsL7ZM>)IXir6S`^Ufy*P6Y&(lHv9FMYJN4gIZ0e&cMV`)Zi*cBq zTgzj?Dynyax;-`2yo@=rf{!~YFsUO@lulo)>vy5JXx&FcOuP5Q7)*73im8To4j=qU zMpeu?)7l@7BsgzWm(49(hs}1*v^*oSh*;%#ke)UhcL7>)~#sSgYdKU2l&e#L4DqU9c;{(8oa@NVLGV%hjTl<)1{+@dY33Upo;e7`tJk7`z7OP&}N8OU&nZ6Xc9! zKhl(n*H&Z9_8+&TVJ-+c#cG?sFfcLbe1^uARa9wDH~ThT9?NIyTGHQ+2f`#b*e6{1 zeRMqF3#luBKTxY)50~_+gdQ$L)g((Z%#e44Qoc9$BhRK5^2>j^LV1A zj`DqYhM_IIMH6$W6JPf$S3mg*I%kDl$_b>=VL}umJ6LcfAbj*U!x>$Ak#T{;wT3rk zzBJs5-SC&aHK}(-F!u2pC9a)#w$cy{<~A&C!yj#pfrT~GD_lxhCBFRjh@xBKF){y- zprHplg7>Ks@lRwk&pW*>-$qC|&+dfiX0nU|M-Pms(Z`1dF z@40D~T($_FjI^FojAUd`K`l(JQ6G(nO>2F1qyzI50tg^ZdL|~l<<{@YYHF2wJ;+O* zw-&@CBnhB&h5??Qq@Z2^b%L&?rBnbifpV=S0WeH4IGC#jL8!i9!&uwg?B;vC`?58h z5*QRD+cXcIs}2S%P6nq#bx!;3RzQ@VY4+g4AeZ_`O&yZvc_V5@u)4ZxJf8aoq(C7N zaJ~i1e{l8h4yJ4FZFD(($K_}qv!{vyl$$fPRz&H^9$s58Ke+q@0@ikS#Vjppf#{r= zgCoJ)8wNC>GjQoYz)6pF4(Z&vkR|YbcVxC^CIjUn3pqwzWO7ez(8e5!kRhY?wTnTE zyIw<(=QR@917>&VnLsXgsk*|RtS)WftPm(YS|!LbV)8h=Qd;`J2F9A&(D!hJ#CfB# zYEG-SRn2@u!_`wBE+Bt@@|u{DgD7nv61LpWHIeC09qes8V|+DDWN(%G=K0yUYCz|2 zVoep-*s4bKn^&_s#8G8z)G5=78q1Z3njuIICAJ!700jPkC;aO9r?{CkFZDHi00rWS zyjnFa;4R~5D2pBtt*g2$7c9)X%gh`@*xt^&bCPiVFdZ4=o4LpFZk)WgqM|uV;zuop{b&ya9F`pVSg$k!}`+1IU9Vo{_+2nto3; zvjRQQvY{md24@39ZVDm{9b1)7Z=pDTSikPbHkq^H{xOGRhr^@232h3xIg%$eEBaL}0w0Ust;Ov||lXuS41JFyztJAM*7$d_C(r ze;<51dsERRQ>d0xzeK~+;uq6{PIXV)FkRa{qG(6vD<~b1Kxa%#5}&Bl9;6re^~`>I z)yeJL8|P67+=)6%ODC0v+FhgX{OU9E|HM~&S!SwjA>W-1sVmgyCE=~*N{~|%BLIiR zDT^5&0Nob#Txx5UPp@B%TCGn1=JB$E6eDcHeq5B$nIm7j(%)}@IfGsk)4jp(ZU!Cl zS}#0aO+pwXBBoS@JyujS%q%h3pCQd{apUBt4@n&`SMIB?xgkbyRG#;~Y+6KuQQdEt zcNt7J)pd2(*sq|jiEQ6^KY868D{JB(y^6{m(XnnxeTRdq_ynm*jx6796oE%|YdYdS zzpHBLMf7`xG~ zm>?HD&PjEKI)itoZ~okltZ`^N!vp5Z{*2xg>G5X_-h&<>+QJoGFz(BPc^KUOtp8=O1z{Dj3B;8lbpg76_+s*!BL!5XV zZGmA*%frnc=-)>k9a&c=Y=iCWNlk>pdj;bSD7t@voj6b&brk>Tnf>wd{Y8IEQ7LnU0l24v^`;NK9kRR} zC~fJ7=0&mGY-EiiUNtsgXQ@)8z2-gK=YKTVx;l_YFJ*Dcj)>h@GqMQ&$eQ)51%i+n zC@!RBK<@Oan0;jMk$4ABKRiReR?MME&D9g0Dva#uX^gc)(+)aH&rI@5MVM;meUst{ z!$@eeex^*1eWLOmJ&1-FX_ot}C+q$WJ$JE~6mnFTl=JAG@Ba0&=^oCp?$O(bKYvJ& zUJKQfLa6KHKqRx`Pkg*M>}!L(PP`9cjkx9k-vv1$o#gW|It1|LQIKG|f@}x%(JQE8 zZyJUE0o9O0m_OBT-KnJQs`>ge2o3LSHp!;tPA11B4bX)b$|XXdVCt>*Cz#sb$n?c2 z(-Tb1>;D8(zbEhuJ%5*tcUBT7rK&q?z{QlYY-`pJ4vPKPK zxS}bG<^FT)YI{2-xk(9E7!3^#vJj7erhu>~6V^~|Pgg^-7K<5)@mAr&&%EBv^8H62 zU}x-(;F2C@yS+8(6#i`t;(9j=rO;cR=U1*SKed}>4)#ON%ioIUz_UnHF|F93A4sA` zzcny`0qZ)}PO04lfB8+T8m!xiD)g}TECy+MT{yr(^Y0!L*~y>Zo3iv)((a`+N{ zll)gw+{hLbWh-a6SahgY|2+5L_d;2WCscB!_lAfea)7ew$NLG#+NA>!7CDf>WCVvG zJIv|(0)YP>~Xj#})=Gs*9eUqN^)DDJd!@Cg&3D}M~z!LP|xHt2Xh=l2bzid8J z_8myO|82;kqAQgnybaJxxaGY)HJY}&wv z8bHR4Q|Ni!D*-^TvDRZnt!j+YSMx!fQ)- z>kmKI_|d*;A4guSLLR3^i*^0=xRZ_yXQ{4D)TD1;CX*Xqu>1PXY3ah9e^=ngqk<3EW%d;Y(h9|n!phlQZ|K`hj@g#b#^1{XCv^kb9! zDLtq9%Hd1&D9v7@N8yS!Q_jO!My$*8tkAfVt^-3U1|oAffcNk$?y4vxDj5K9B{)NU zI6A!hXm<@1Y8ZkeHhfLuw+wyP+ot)U( zo}S>an}*DlCkK6h6*0JU#v)Froe|s8C&_J z>wjX>9^?9wP-BflbK4l$l1F8s_Ttz*Y17_vQR4jf{?>|^t061o_mwa3D8`8TB?wCT z*}7}?nZlM9jv3_)x~4@;GN!*uIS|oOU7Y>ZNObV|*vN;rtgYB!GId#u@-)JOavB?x z8}FX~aA*H=pzPT7*|&Gbk8=9l(vy%jJ7uo$d?w}a62IAgs^{Idc)`|MMxowUZI3~T z5alv+0@%gNlrr( z3bIvf)_c)1v$Eh35lOhX@BqcLni~)`MqBjChKk=`FK#XN-yS--0eB(Qt-tuai=d#N zFaZ$2=epO94CMg7N7Ej_s8dKQGSz@?LZPLs;t!fw&q1aKF0+i3@X_({ z2WIA{s=xW}M4Z)pruEl{FND{eK1cNHvKrkE_C~{DpHgox-hz2rb;6vNl}38tK@HuG zWBW+b;s-_Pw%HYCEl=YIgBtTpfD4nAHilG+GJ$;#O5_ zaTfy%t@&#kpjs$$#mbG+5owIlX~onp4b9K}>K&Ok=5fp`JR9Kq`Ez6*&<|RVx2X-G zKQntS^EeoI{X(8^EC;TRF~%bQ4yX-fG<<6DMla|#&${`x3`6v<2rw{TX3(M~X~7H7 zu!2fDfX}#p=7JX7M}Koh^!}ZU+bP>-X0wZ-gMko)kX#L{QP1Fs2WEz_YHm_*Z-_G~ z4H@VmomW5ho2fBs;#n|_ZQS%@!&qdUF`mQ_5P=3=77GTV(OaJ+QwbLwf z_%2F(x%NjI7)G(_t`{(PfV-0CQMG~Fg$ZgzIGl!e;y zX*(UfMM)iXYDC0E46!|xNm1?0{H*DwN&cW5*?2NfT5QBK@9*DvWdj8dddAv)l-yc= z<08p`0hSaId0i)=xD!5eDTVriAAC8ZVl3fzc0DQ{_o;pPHDGX8Wy#dElpt{=-tkpR z^0jtbg@d!x{>VO5>6@&oSkEuAJ9e|@G``HWsf>|kv>1peNBEXm9DnA^h^1j^+KSJp z4Xh=#w1^4>r4M@g7owlh*~<>amx^gXbKQ~I^3S$3eV=`QXC9D|T>c%ncKc!sXuLR+@{u{F~@?{7c~(X*qCIIY$F{Xro5`b0sI0gN5M z?DbJBRyA37Dot3cuUFW!b+WepW0X2)IFgq`5f{ozPyd-Rrtlub7Bc`N)Jbjc!ijTB zp!NW6NMc@vYm2<>?8=zEEpp&EdiKZpc$Gx!3o2pPEjSMDbnE~e_CsAO9CRD#&*Fls z9yedG*+qLyiX(T9=?{NvUc&eyng9-qJ>Cb?fp&;)e(C*XZczAp)!PlL4T|wGy0ntr zxM`uxqO1$O4{?8s%8N}SH5I@Svb!5sD&fKrT@Y^8+94+OsO?6^vn3jsnY=hXZj=A+ zE!w^=sCgh`U0T<7SdNt^ZDKw$YJmw)=S9q?e$ZBZLaDB#EJL8{-9rnyScjno*X4q- zM3VY~;v&s6grPAJ(Y|^~y5`om8QLq&Gp2NM_O2Pis_H)&hr|b#I7+bku~9(VAo%90 zfIu!fCQ9k|XWGdkSq*Y~$MN1raR1bT7Br^9`W!IV!2B`TsR#uqrlie^cbaQUimUO4HE6 z*h?XQWcy{0TqBzDiRgCbz5!=tg~zc7OI@8iSyf>>6nE!=mXI8*G`t%nYLA0iIE!=j z+ckDBv8LwRqM+LNp^B-IbkLtmp7|hgF^W&rokOFk1zB1~yW7*EQj$i)C}vll2V~7^ zl@Xv~Gu-vbQC5q$TY+fN*XjM;PbQj{cS|6)>NLw<{3`RR%biD^IjoM0YCaDj+5?*s zvfweIBa+g>)ycqc^Lcsw5q{_^*cp8AbjaE8EZ#cBRfB=)B+aotX~*=zyINaK=heQN z5`$%p#fsUagLB}wv0=Erz6PyPCXXBYT}L7C4HE0MT|;9sOh{PxxwcsmM-m}Fw@dPP+ z!5iz7z6X5iuQ*E~Bb2L{Oa}Ow>xaF3GRlSOu@FHrG8}k^xPSPI13hC@TZ_7`4w05C zn<8)P9PZw!Bc4$#k@&~T^k~q`=sxX!H#n{yi&7&MM$6{)`G1Cn?<>{4wrxu%pmAaV2) z5nemkDG^h<-b;gFwnR<0X^soP150XurZO!uQa0O(nugP8<Imn?x~-z zsK`2?SXxxIV4=o}-F9cR5a|mqn1?-8&^kRLf&mbs_F=)aFy2jjl(LCL$67^5@`s6z zXgaME*KISAT+E79XY~1!+$fFw^n@b#ELG0Gb8;O0j}q#%UdfUlSV~_6mW06>FRqwa znZ;Cxz6LCW5f3M1|5z!2>f#i=x(%*zM3HvmYLHVnG?}!4z}i4DEa#o}k?2}DBGMi& z;Y*umaA3I1#ChLMr9r1HiAlKP@B;gyV`5Hi<5*3<-~GvcJFNAlXR6Q@c2sB7#;>Py z?ZDA3a7v5y;q_+{FRRegCiRrE8fK%d42y&2HN*^vR9LKc z&;t&$NQB()VBFl?y2FV^KxP3jlz&e~_M@VL5hSAJVD*NFhHd~~=9$H6mZhwE&wEY~ zxN~)Nl|KfoSdc$!Yo~W#FD)(2%*>Qo%(IG#iTzqC_wNQj@YFndjf@XW)M}sRQbIx> z&;`ny)Xi6$U4r`s@HV_T+vxykEyzJ5ng}aa%iC82AnnOU!^@0Z{E%Mlzx{~RyL-~m z&l}LD;y_+--_f}qbp`~vzya#)-}v>@)8H(M53aTux*T{^9HsMY@w{%**#Qlg$=C+1 zD(EXaC*evH`S&hD|3mtaB2!d7L`69jLD;;Vr?^$Q3@|c&aXOuxpWo7i##lfLno1n+ z5(r!#-^WPUy}glrvlR<*RATZ0Zq?W zt?(gi+3jt;@3o=H7;F^@4X3X_6JQ;i>gQLQzno?dI-mLnaB40P041VhTy?l5Zv5){ z>vKSf$n{U!tay;+A>iFv9TrJycZQCbHO_bAU?liiD2-jYYEfG>4VrA4iv4F%u33Q)Yil!OcsqwP*;AH@_kuuEFC2O|Sv@)uYi!Z|w&Vn$cxEhmbi>4iTwzR%F z|M@fM+t45AR2^*dQtCTAoRgkhFXv`CuDix2cK5rtX+sI&1%V7ME-vaQ;hocJc2jp9 zGN1al@8^;v9@oFPH*(Khjj&=pRz>pCU8XyHWePn#&yh8h!Wl^-a&I?-hUwk8S?QYU z4sJd=(z`wAa@Lwj8lP%|`wkW0a(MD;u6Jt`$JWCOSiD^|?BD(HEGBpHLr~pw{7ai__45K2}-Rx!fXPiJXi+MCmS5p-UE_qO&8o6I(Jj|(w67Co2 z*k|Wax1o{%Pn-<7wFG^VwL_osjAXvY#V^yWL&xXV8@&m^5?X)oF-S;2lj9E|W|70w zP(;U!dY#DwAQXwn$%yrUyESqWZ~NZet(f1+qrh)RPvmGgPm964-JBPn7Y0M`%fpgK zJO|(JTsdQU8sFWhq<@R__|%&8biXE`L>g90TJ^=0-gVlewt;2;fQG7^qT(>Q&|W z`FR458!O0Q(LP#k132X~IXO81dD0mUCyRnkjqzk5CJ6G1nNq;>^70A_3M$O8yc`FX z_^LJLePcP|X99MJXLgod@X4SK&q z?iS3$%r{(cI;rd&m_sG;;CbNmiVACvb)J7`%S{$s$CVXxe#$B&-px_T7u>%C9a4nG8iD|74X6PXDMMeo~n>&AgPRN@x z<%Q|+%W18=kqX2@d)Po)(BLR|_%#gO>G%_>)7ZSp_>YNG??xQA%jo#!9RYRqh9r+&I3QoQLqeqfoVyBxqP0w&ZibuEZ+&9(?-rjowa;S&f!bq)pV`!I@syPI}gt7+>gQN}3E82#hE{X?Tf*$CFCS^SW@%;MFUM zw6hP34WD2a#9LB3ddo4kIrQJc#BOf7v*;lR|FHcLN+_+}u+rp$8Ya=bul};bgd49av9XS&v0vC6=jd}#1 zbP9%s_-i*k4!pFUjqFB|VW?MwC2E9fYhl|nz{Y>A?fer~qnWGcHC_h?V@)5pi{vL2 zHdrjo37dSQv)Y|CgIp>&U&wEyDlYzKv8Dt@d>8=4-u3LqS3$ihDug*_Pqa_LaWZ|^QlDdYlvy~npG#<^rVCsG&IQlfm_B`=of5}f)~qqd z>G<(xEhkR%c`L}Rdx?mpt*_r{R@x-&`|1t2*cHSwI_yrs1IsgT?q#_Gh_RVRJeIm{ z%jgFR5kUQUiM;L@S{@&`V1Pgi=>ObJ#zq zg&2Z$CS7LllfGZ{P~!!o_s}SomNr~4_U2=~#QrM35ubsKv!@kbcX3O%SrP4XfCut4 zGE7Ww-1C)=t|Ub*#DC*?1_j_Dd;AWQ?E$Gmi+g?mN2S&Y_(+--rqcX@KAz5 zz8^<4Gx0re#3lb`qeym|TuAA4>>JBgH!pRar4r-KgCIqMJxxer0-ZBS!Au<0-&sFU z(w?;4m?3GpaCIN4dt+){V)D4Sw0ZrPY z0IZp+OCm6Y#8$)baJN7jEl_45pXf*iG$2`aHOQEH>VP`!2Tx(M&@3rS*` zMIF;k?g>*vQFickGfCTPW<|X9M_?ixBUqswk?p{tpyB{FtvnMk>?5a4iI zK}UA1d2!{MC3ie9Q=sLuBWe!B{Th%{ScYuEtGsbLy1&fxJBgS_8d919>_;e8~ipak<4}8fJ-c0ZCKP zHU1Ga!o}#~Z|Y)$YXP3kxM~6JjU16Pg94s7Z@uNE14u?^&FiAOAAU*z4k#eJh>5ew zy?QmD=@kB^2?9ZtQgPu3b}edgr{zT*DcQrhI~E4FdzJsY()pmMRMQ(X|KvH7NbLiv6+I>q6GI+9*SMx?;Dwn12Y^}wQD*P6?T;62KrMRG3)7On^QJfA1S_c{#7 z%0$;5`VuXlbk40 zl0Haoa=SEjw*(T&MsSoqMSCqQsN=Gl{|pYkLHMXpU?zEbaWQq{0RvoFo@AK7J^T;I z7~9<31dibO7FO@!q-F8w5Rt>p+BUM)0Z|SxepbDdw9bRym>U;Q(OG3L(P@m9r+^n73dl4i7-!HEr9;PnVIeg zAOW8Qy?rr*XR;Gl+E~Iev?x|`ehXt=8GSsR|K3vnEoy3HxI|$s7s~3Lh=3y=^p?{KeG)(M&Ljbk>Nis%$R#yEq!!;tVprc6C0*l z9qI`VO1ROA^^uf9StWjFS)>hH)fcZviP^VPw*a+eyr6hf?42Ukrm~8>7kRRO9Zt$T z&kPJYh91dWRpXkk-2qkbUEOGt3@4RpZ%8$P?~+}YUiflYAeOik}9?7f1~*I z+@2jjrpsHaL|ZpqWJGvM8CPtUD59^kg#@U~^!x2BRZscSeg(%`)CY>utzU)WTb|zn zG1>n^{3Y$#qECd!u@^A;I+`g(&BJap<5X;fjuaH%5B#jSJ&lylOSaHcOT1&jnvlZ) zYoZC2oC)?M2opb~pP01v1^8ipsqRZ8)oF#y6a|f^JE9B3*XVSKTs|~o(0em<4(;CK7DKZssZ{^37eK%mL?wzZ7R}7s0FyjM+fZa>uH z<@?G}q&M!*3~a{O8Cl`v5>Ad!7N^4e+&z8}Ofw$hToo45Id-BZsdPd}@Ctp{|NmmG z!HvZ5>YeMH-`uJ4CJ&2yDyv3nZiZ<>*;p{zM!z{+7Y0;ceKyrRr#?_o`&pyN!ZOO5 zIgZdrA^TUi%>+TLUw$VPKU8^U;5AWFo>6zRu~GGWr85-cA2$4i5c~CmR_J>;1zn@e zaDz7?WN%-rv;nYL*TCdDJNN@P34llJj~I-cl*tNQNDE1)9_r(RnhKgtV`BfSm2&;x zS}EsjMt!X4iemvvKt(sLWXN&lL_(<9kdenyqswEWSGKF`{nul|P}^YvYMyG!BL_1S zJBv2%yr7LE!gIG`3qiG_#6)Af(H;MFOp5rweKD5LVu2#@sAu-ACyz%In`cx1MJ=vg ze(CLBgAz$WuA;@%E;oR;%*-q6SlB$OSb!Iyu(7=CU0r=1Mf>ADoP+mv9QF%-aOCpm zM`}P#XjMMJwXZoDLRzHj0VO@xD*X*tiNO&h#{LysH3@6wPbQnX5X-gBV$45H#T)-x zbSp1Fiw-?W<*R&`IYeYJiJG|D`^2`FO7RGYeJ8^<6kj+1U1qiC)V!)xXEauf=9faH zhFJ9J(ofQcT@S8K^(=OC61kVk183~u4b_3iLv(e`q8n{%A->wvAhARE zd$H2k_PDa$>}kDNRps2CO4B90Lroo zjKkxRbt0rzq%K(%DjWv7?GGuO*OZq!jgCx@{J|&S1nA> zu6hBwAT$P_XcW@3U|n5zTlTmv2$$DqPholu7`vNU8dXck7jo%FH*#Jn-ns6Q;aukc zzG!GJEt#__#UmtlBjyN5D8byv$H(w1Z##GtLA>l)WU~T|IUrVM9wQk;kbgWd&1eh@ zhzSvD@|YO@AFTa>4Y0i6wV(}NI54kX%#QVr=8v5cVgscYC#N+@*4MR}jcjh1>W#WI ztjuDClKOdJ0YwI*RXaF)MnxJuPjQK^$gL@9l_UB8&Hxs@c|aZ7+8nQS3-||pU-Uq- zvyGlDLpS;dQs#{%-SBNsP5`a1Yi!}IcS?Y??QS~@%sL}%cjMGnc{JcaR{~yhWJ<~q zaO3zlXuuE^^juy7&nuWGc#GvgYGY&LDf~!B=iAeu(FjRPqYx0Bw*}1CT5WX(V!!|! zh3-&1C7NjrzaESKkwZz)^^s3+Z1kT&f1_4Kp-K|Jk zvv44(IJv0Y-bcpniP(}V3%V?5DVoZ8KG%FiqVHL=P`NNX06}-GDK%z_*&7kQZg2^0 zX!c4Sz+B}Fv15~vAc_$;aF{j0GLy7KO9e~oQAU+H4K~%jF|Jm0VT8^T1^x^xkZZdW;-e)eVgpq`R)wS2JBc;2mT??B|vpAHlOT}}gvHW%#%VwgG3^$o|vWgiOf!qRwq zb|GxmOr)3vf|NejEZKl&UnKSM^q|cdfX&An;+lneHY!5VF<)w7#H-VlzzdFxJb~iD z*|V}~dkK=|1lfMX9H7!_NRXDlIZ#O;jAi_XLM!p1Xdi!f-aHI5SUY;fJk6-b3Ydx2 zd687bTH|bVC}!xJwRr$<&qO@%aX?Yk$WdlS*&$J4P6BC`J^mAe|>-{z(S zkK{ZC1%I{AFe1Sl+(2j5k}x>$`$$W+S+Oznx$4dEt+m{{K8~*V{zH$w+j|K{aEST2 z%1e73#y~)SI>Z9ne!Ev%d8+Dqt}cOUDw7mDG;^|da+`a=YaI`448Ma^lF~QZzVeg? z9kE_GTqd{$COhso$1|_%H^FpcbRTqfZ{oq>*>ylbK%70g^a@E~4jtUbC-XR>jp}LY zS+{{Qn4gK5FE;0??ot|?uKrH0zFCV91pR$Yb8EMlw{%n-!Z)tw&GEt_M2L;W8_9nn zIu;h$fPjvqMVVjF^chfH4hXZ^uo_OEBXwIM7|E0od^7QPccUkigXI~cip`1rKV@qV zBTF7V1`7Aj@E^a+wMpm0io$;^w<2;KzIYC2?wy z@4PxI0r>;OId%wTgQmCvx9d(WL&C(YBiivLAG4IX-q7D-&ye}^c)Gbc?d;-ix;SE& z#9w`z{3ZGFL)3Hr=pMz^LI-$4J7y)ZuFM4mBU-hoI={1|;_Au1=9FD(B4PWW?vs(X zf21IZ>x0fdLyd{<%GzdDr#Yt|Q*ei$|0;5ENdcW@*x=zJJ2+me(o!#|(m?HhVmkZC zY?wC^iW*80iuACw4~en1(%*Y<-B`G{=8y;CyS)>?bPcjXw5&txs`GvkVjoTC_N`Ba z`Vx7~QZR_y-$*pt5saaNdy6}ZY(aDpIf~5u5|;PN$~?KE2y80PTi@AnGRmAjuPDrx z;-2yvp15!*aAU-hNPM_vPv)MhFziShOgvFZNDlbb!uw`OWtBj9`o<6eN2buEpu8~- z_-?;oa8DwF5$4<-ylo{UkW?UpqGaFGUBcZfa=@?*7rm-&m!0wAQ{>&Nkp7|~oG^(^ zvVQxO_0_?^$mppze0FyBWT-1FTmjhvzC-~1 z{_${s3noblBNsM5s+hFAEEb<@K!0~*mh3=rGfP~1zCmHfDE#4xQSHe5%$WHs3#&$W z^y^dKH3M)o-*o!d6KBO8g`qtmx*s?3;a7F+am{Y)v@=Qz$_|Qrzx$EuR~Y=n!!@N; ze zL~?l0V01^OB;X@jTB>hA@iW*Y`8hnB4N*Mvmcpk{39bU*RS`JQ3f_Y7)Z`z$Zxu-qVtYlzqd?f6=byie~i5aP?TXCE{p|8h=Oz}DoBT@dz z-|=!|;iL1K5zyQ>7t!rWRR+XCDV8kP8qLC^X*;J>X_xj(VQNdkR#rLlVUofWeqB?O zi!NHV1wyA)ZMfOiud7PqcTCGn)6iD})Sh-4>f{xNX2ypK1YS8sY#R$-FCK*aqO*%x}ELR=h`y(JtiA{EyDY*y!Ru$6&gKQbdc1 zXKR1WqeJ9VEi^dIRGH(0_+hj;M2ZaXj1dhb`Kq80c><6-*9$A@R6Z#Xfeg}RGC*Yk zs75)h#y6l{L=hndOaKZ6u0ZFP%jNVVm`R9XaGMYp*HffcaS6Ce0U;rs{ry3JI6DqJ zrpvjm^k#u=03IHmWD=)bIzkFqX)%Lscap)lvjc;HI_N3D%%V}?kLc*=wkPs&02}@T zHT82rL9ltWym{Td*Y3>|EN-~(Rj+z)F6nXY-3=xgd~4*|Bro6Q182lLK4wi+$v2-= zz$6nyOtSD_O5PWRkiBC;iiq<1Qt)AS(Pg;S$cIx#F>$-sWuDp5Usf?YW6>@;u~Q@N z-NYVGN=J@T_q*6BXqeUIgJN*$kH z4EH#Q0lzM@1x#>CD}Zj&&V#tlS$>v_h&iJ!daSx9i*8wImc*+_^Lgq4Jhv|SQ6`W1 zx<+nf9fParr14?i_3aomyTg)h|JpZjL$*J(A8P%5dHb6mJa60BV!j$(|D7N!8!M;h z6%qLZcjo8?Hf%pz0TO^#y1L?AJdgCh-3i;R`_` zsf(;%*Obl>n2t{U`wdpY#j7tKa=$&4>pQAsJ_i3RW>c}^UtW%vK--WTUYl+_Bx{)Q*%5Pa8oknfLHo z?<8J&HLQ1Z`-5ceMM_4r=oA0*d#{n-CVcl6?1eRZ^b3(55)4(ATvg7`a@k9D#>Zx| z<&8l&uwX7@TDGe@AL)F9BCtK_>lz)603wpV)=PYT@SYwqgxD6ek47dY)FHW$fKG9!m$#))i(EjI!N~z%4-gL9BR)u0!7of-vBUx^}BbZQBs{K4E*nECtTx@xy=@B`8Z#zJ(`+4F}#_wfJTyKOe zrm4j{iQ)@GSL&bDJO(TII(()U5!MCQm!~A`kT9Cc`w}Z7PL0O9Ion+`8oKR+G)1z+ znD!i)TwY=R$mo?4viB904_FR5&vmU14f^EM_s$-+1&wYGUC&ARhI}Ig*EbrlNWn_Q zWbuU@$?kkp**dK5=c^Hsgjeq5E#b1=;`KR3r39fTlV zZWi{QZu9%7E#0*)H#ade%S-bU6Q{N&glI(fJ?v*5kjp}6@`WsKEly<{8MV`)%cGSh zyP?%Fcw3B+_JaCnOM^+uMfCt~JvN&Xy1xKZw`aTzH8h#)*L%jWQc9_havIOlImtwF znXRDuJZ8I}a{QFM4TWD}13%iY4B6PVbIw~_i;n^*o(ymcowB9#L>ckZ(u|V(wVlGI zQsO0`We@Amx-hq?8JApFd9VYb(wq2^bf9w96O$81ymh$k_%n$)A-ggQLqEA34`|SH zL+ItWHyI$JCPJ+E)ulP6PiE5KNyER!&F7&5YWF}=;@HRW%w1Ce+uVr+-26pSjkR49 zNCtb1pIZME_8CuTd&`4Y;13(TMLFOuzTVH+VgSSwZs#+FALbnQXZ?gIbUS{(^0IJu za&U0)@$p&z)N4Et_Z7%Rx!f+9K!255jvHY@E+8O)=&=kY_Oo~lByxm-slue+g@MSK z3J8GH%>#pLkGnId0PF!I_u1On(b~88fG{d-TwFiU_2G3nl~rw7?CkUlA?8@!$#0yO z{YpY&0F2ld7vWKNj91s!kIQwMV`HHjHEJ)#Gn@p0;}BWLC<=4%4@-*abd=!;v2@SK zT_iA_NZ6EcOWbEP`6wTp6BB+gGz?L?=d0!e}GuF<#Y1wd_!6>|f!hoqnUlUY}sbTICvDr@s(w(}q*dxkmm==rPV* zGa4MF+c5l3v_wTVw5P{8S~t(Tim#B*_Fu2&z%+gV!>a*&U-33YnV%QC1Z#Jk-qV#N z1E&TR{aDu>vI}1#*T;`d6qc}89E*wLzms3EIpBIcen;%^2GQO zyv|o$Fu5Y~<$_9k?>DcbfuK8iu4b)c=7c9Kq`gft=G+c?|8AnJJWFs+8A+0i|Ie@p z7NVReudricWqL!MZD5+aii0!r_wXfI2vN_IE2IP>qF|!2RJ+&`#9jz?yWG=-=~~Wa z4f)HtI|mZ8XwEom6CJN&Da-@jqm9kv8xs?gHxXj8DhgB|=!=CMJWuYzvW$DCnhRii zzMXA_d$Wb$Nc>V9oYdcS0Y$@md>)}hF-DcvZ#5FHf>zuwK_sg48}c_mI0CpY zf8-?`TjIl`+J-V0S@XB(u-2b|-Re_@495_prTyPHKH;J$7p9}605-a^HO(o3v?F^o zL!9Sr8{3oxcWY?$NmLByOJApex;iecdixas6(K@u(a~pET(}+gT4!eyfZM}kCWl=` zP$1@oWAg!p#k+U!fZ9=f!XKE>0SUAS&?h2_c_}F=MB+|O4F_;6(g%G@@uiS}fE6HX zq(3D9qy=g@CVnQSmtH^;wYt6CQ=n9M1c$G}H~K+h+fR^`ySlda?%@iztG5?;b7O&6 z>V9zI-+`8XdsgV%x4f}cvF~beV+2$MHiK%0 z;89a&)Fo-t7+LaS{V_})xv6c{6Ld2n4km6!%}Wlf;~%yY+m}U zmJGYHp63Z=wps10pxUFD!DShx@x=AnXed ze^~-)83N7wjp1`(I@HnGc?=>9zMt(XfyE!Bg1-SGej+wFr1@_iNFp>GKF`lTh2>td zczplPf&?s3t~{V%fd>eKKv;UdTKV69V3Ht#JojnfGt9tHzVU8hVZr%)j}Vv{7y#dS zx8qKH>jDvJC8cO!ems&XiUsCSd)Bu|V5bZY*NA`2R+&qj!oA-_`8OZLfYGpa*{8B=j=9}% ztFs#kBC(v?LCy70#c)cH%|!``@VSQq7M_h5c91m6xaFYbef&XyUo$1Y`(AKPeSupB zgkFJ^#{!dSM0pDuq>F&8QoBA7XX5$>QfTXg^*<}K;<^9lT@vTNBExUVXFPA3&m}f% zBvx3}Tz=wiwfFQ!j?Di1jY~e6Zu$zEdRx;GtYZCwGHVMdEx*LaKVh|7RV6u$2n1+( zsh!c#q!p*DZ|7D{HO{*pa*=x0wNEa;-?XpZnip~cYo5+Y$j8-jJF%fY!@g#uD=HeU z#BF@Y5+4EEMzVgg$sCMNi6FZBLs79jp!skzw58YYD24xT1y%bQYXz>kmwB~iy zxfI!Z?^zYaR~77s#|vz`;VCPH~sm&4{(|F3RMdIRRRvz=MqrM!fhiof&87tCT@Uu0d6&l7jVdU z%;a`ybHxXa7@YtH1HlO3CJ6$|3NjJAJ^|CtY7_aQ-t} zIk86&lG3o=?*8s|B{>x(xl00A-ie%G(Bn@FF&A-e&XM9POA?DvmdSKT_(8evE*Y7Cd^-yzG#8}Lc9%S3 zwW%0;$H^d=&ciL^BZP*PsgR#>!6fi(WNczRGG$@<2r9jbjXmSAj7pzSzqT%m?iE*y z@Rs)hWll4+akTV&x65`^rlk>lEL`08S6NZ6Bm{I1c9z^T*D|41`!lz&?|yf1I9%+T zl%R?V)zWolYWL9{e9|vv?dVbJ^5W4x^4CXhZg-CWoTq6zcLOwY;|cs?l5{TOZ6Ekc zb;0t@c?l)A-x-nC1s<0cGZAGyc{Nt0vJMtaSHYL|GlC_VbuYBEqM>0?V$>(**M4b2 z2f{sMx0RDhgfPQs>v&lQ-0afm>f7s*ZS%wGzVA~1IRL=3vh%;DGVD)RZV?;@^zQLF zz8Ds<;+*Mc;qL6BVsYyHJP;gm#MS)Fy-DTgEdT92G?7+C?kj~-^VSPgk24H&>vypJ zP{%0*64vJ7?2IixK8~)ryQ5~o6EtN(e@gP}?B1)($^mVmv@tH8V63$>qICq-55AW~ z0zBw1Zhh7(qMxm3fuSr6sLQG?9=srb2w1{AVPs_7ort(=2nH1kthA+Tem)5_cTdkC z^j{IA0gkESjEsy^fzLfgYb}Zm)fQ5gfPz_VrPOG&zOfPU=Z{Z`)%~M}?QIh<##0Zg zp&_7CK`FIpCI85)xY*+MEftlhsYX{&_8|sl5Lx5E5Qy03BmiPkaJ0@Yvjhqypu*GD zlRv*$@HwIcWAn7g`d@XT-21F8o8^1E4d$yz8K%kcb@+r4nm(L%xW#!!4HpEsM3-WI zWiDm0oR04aRhU!!HR-N}droUF$@d{Kb;u9TCG-v;#okpOh%&$M!J{t&v~jsA`3|{h zwP__!4ORw!XVFname=B>NWL?FQWWx9|CtQLfQ@M!r~e2|=|5Vb592j|KX~5b3^L-k zI}=2AjcJF%EdkgmmNk-H65l2zXdsV=l{vm{e!bq^rJC6C1gB>(GUJ}2IP~Gf-e(Q+ ztie2fSEnHNpC3}^9g;Etw*OS5?~yNf89DZ;A^rITpLV3JA2~6X>o4m7J?31&QK-DJ zmM1+p)7^iPRbA&6fpPgvIdP4yV&!S5dU|}Uwwd-mYxV}X`yWVd0&estg43>bDdD> z#PSEFIiTdPh&_HH>F`vGM>S)3FTodj?eGKj4vQocSHu>kC{sZ6K@*69R zzouMyg#}Dg{WMD~>AQWUrQfnfc4}PLH%>&dLL%5bUpV&W=5Wv!9R@a^TNTnlD>Dw> zU1!QJB46xvTqpm!Iu0Y9zd&DyI*+f{&rYZ?b_adGHbwU}@e#@x8R0?CONzaep9{~oZl(t+>HwiOQF8aJmpxeM=xg8ys_J-2DKm?UDWH1?_Me|!K_A%2_}o51ev-A0 zj=ln9GwBqb{4(;^4B?^Gr59oUjVO z2_yN*(`w0E3qZmAoznM-KJh4BDjgC)i*Fq&j(QnDr?J3*>0v|i2F#8qpDWM1cR|9n zO3-)AyuX;|+z96<0zWjpKCF6i&4ZFw=iZxI{4_lS!75W^Ibb`>x6EljRG}CdmCY7y zQh|Ntj@wDg&F^}fN&o=QHItHdewj#+j6ywGIUzPY^zI}36O>OIg!KUROgalQhBtR( z!1JVS+>pVq73v*R&l4TypMds>d-i0*8;NgeZ5Uu&BT(h7^-NBW`j;ZaD4CDPuecLn zFX1gU5?sn8-v|NbEt8p|#5ScF+T%oCs_t)Z!*EyQ0@Vu8x$k|MQ(4#>bzvdVML`Bi#jPDuq0>0H(3=~a;ZA-|8eyNjO6 zxc|>?>A!YMy1T&QO&2PSRHWJ9UAjeYbY2-S5YNuMbY0)L6zWnkbPMms1AVdEQ=g^(r|@>JZro6eV^O9HF{% zx0mL>X;ZEm?UfZ94mw_9rv|9dcYdaHx>%pD^-i88`=ZDRB(Mg?|#yhpD zyLv^Lm)izK8n>eP8K+vK&_(y?l?3GpcOlQ$eHs=14z}erD_esNqmxssnOL*EHC!{$ ztb~#muA!-!b}*xfe8c`pZmi3Lt&nZlPDD(~zqMti-HC#HMeA{7hNN1X5D?kNv>Iu} z^E_m^o8M6A0LJ;`x%8FDUR0`o|ZV3uP2X5kq zCxTb8ok95HAcOk)e82x<$x~)9f$jMG+z5bpm1dKHSp2syy>MxjnLz)y`D&9Gd?mWU zSXfvxK%WT|!=U8-JksD~4L$-PxH3CCJFuLq)ExTu5^X#y$Aa>HwtuCZ`RW=EZu!Ef ze%rLb_UPVj7Rvl@R5O-1{Tm$@4h3=Ka37d{q+t3D5QUiU+I8`V_PPQ%c_I+73&76j zf8WxzZtPGnSb29ZIe+(icy>CYG`lN6)b`f?p4yTm#MCU&^UW-{;>h7_6oRI4=fRb9 zMU}z?s0BIIHMDYChun$4ajo0m{1w4=-uO^&-1a)%i<=IcS;iO<_G^0^W??B|Kgw$4 zTZd0*`dXOv_3>{b+7=szYhQ+c;oz_XM(s_pgilvK{0FgI-9-Exa#o=zupK{)78@I#_8@9;gdTRLdw&^oxcaU>U~HB$r{^$C9PS!BF>K(*Vn3E21O34X|(=_>&6l zxgcgP1MS54fm6 z<_j5wFpuj;gZLFMK*nUJrVVj(a=TOlCgt^wuW?y64TXsDn+9wF81pUO2j)eRcy$U+L(bb*iO08 zKl`p>HSyHpO(Y$Qyx~8DsTsM2gK_cv%cFL$doN_DC%H_2KuVU*47Wxr_IO-k0B(q} zH~PxU5LVNFL40qE&%*L4{%-AXkJpwA$$^c{|6->PxW>}lrZjNA$EJ36{=>0ohu-En z3A{}Z`z*Qp=__R9Qf;GgDAX9}k`TVGWM%Bk%(|U{xZ68B%ofv3z!x^w8tock&I~{j zunl*Cud?cDqn?*DL9BpY5p&1^s2E`Hz1l4-od*47q}|=!U=W(^hmNlt2$KZxA);pt zbV+Hz3JDGeGc_EX68j#sql{g>04l-!7mj)3xE{ zTe|yAKJ0(AHuLhT8uWKSTj%$65L+Mni<0h2_xqyyqbR^$vG~PS`maU{ZAhLHRmmGr zfCN6U=4(k&Rw<-NA&oSp5Yn3yAHSi&MR%9ljf3@h#=B0kP*5vWBX6b1o#8g;g4vcT zIR9Is|1F58te-qvUrL-A)z)2#NMYNaoBo3$m!D-UVe@w)TZ9ibrsDfzh*D@kMVdod zk&2SlWzEqQXa6yb96FW&dcW0OSEZ4v^Vhxw##2$lacmnEZZ+<=x+=3(=c^^df<<)n zHpOcnJyEU4#}t~iZ{zRgUN`3!X11qW68{beqGF**K(;D@AJWJ1YUwTk_}tLsA*>E| z5r5s9elT5l4h4J#Oul>IZkau(;EkE$DZM z%zL;q-B~i}`qGV6pNXG4qMBXSPOiK77+!gbF~2*}l~d0Z9RXUyJ6OY;4VGg^GCc!* zIm&~p{EV72O*u!&Pt(y7L8^t_=0LC09962D006-2?6zJ2BE>|phKfg%3ABXt`SbE3 zR^Sw`a+y+6!T_MZcR(Kxg6Khw{PAHC6t=I=lR-j#`!6iOp5O*uBY9BRnoSLOl9XlG z?~M7Cl`)a={P+R_l@XvypZKv0i{&gU2&v51(%?d0f$i<>A@*3{u*~BOf9mAqWML`X zC6Nw~zfB>HT?5Fjv!MobJ` zgQ7xdbCgWCesqZ|vw~djeC>a*%SJ^+H~(*Fuuu4L`TO!xgy8rcGy2WgDVg*Vye(kVC zK|#Spbxn44(~l8+1AriY>+8ve=x=;=_=W!n>Kf6B?#2}lD|5=Cv$PU(qoh|^q)zTa zQ_{9^qnz?r&obPyrREHXn;=OVa4@mZ!epCVl?wS7)J&`Bj_V+W1LaMp`NYhU=8nD* zj7uqk97oXPtcC_oPXm&RZjcw{bV$WKM2!x_v_I2wUs=pJB}FExDB3GLP48o7W6K6u z+f__rLPGO#1CVaTCF0*d4sUMevz%2dnV5daNl*U@?6A@2$p{E~{4t56v@LqV0t3-7 ziC95~Zh^Zc?)_Y_1DnadPLg%q--E>Nxd#b-_*+}Ty;|JP#Zl`NMHP|)8XfD5pH1IZ z7-#1QO!f5@Pw}5WO{bA9-bMzlo{a~(ibQLU*MAShJBa&f1jO8s6Op0x(Hs;`iymFI z$sU^M-)Q_|z+tZ8V)@mRE=hxpSxjp>+Q77M*%uaC5E`{-?AA-|Ud%XGH+>=4&<~23 zU;h#!sVa{v&Ti^Zx~c|ADM-6gqguav&kz|^#FJ23J6P6odkNQh$qVIAyZKE1SdS%8 zDR#R-z(c6z<Bu|6y$V zlB)7+Kn}1VlW&nX!ku=eO|YGFuOp)CTK6ju9vHxXnm%UoKYDhJnpU(e<$+^Ea#w@> zH6Mf>`7n#mM#o?0d-(Ph>o-jK3X8mrXjHfR)KZ?Yd#b%N$OpO*0JTqGEeP|d`crC5 zujs)DW#Sl@~{h)!_qUA2>)!ZE? zTl3rc1YuWx^;504{234+TN%5d=S2+*{0ay*sqTm-;tTr381*@Wi+TC^g``m^ZF06T z_$57)KRZy+(Mhgw@gY7BV29*a?Qc{x{rZJ+eSMv+T>1vp&m3kV0Pq@YYPiF}f7+4K ze#T_QALYNm^(3{kmhcO(L174P!6gKLgRL4)>xzHsRFl=xpn9Q^M-(%tqAkG$ZU~dx zG8G2-Nmd=_<%c!L5VdH9u1{xjUbE8826sQ`Ee*QaYJWDI zfmX8i_C-di-5Kt;Of%A`t3e)~u2|B?ADc$>(X^F?)idp7GT<&?0M_QmmiUX#v-s z>5LM>qzU2qmGmpZOhq4IBX`hFV=*RX>V}#PDM`uS!$tLvrecXEMnKaVa^XR$R!#P> zwIf^tYngW1*i!15E&rfvVIbyHoAbO=b_&Xma1Z8i+hP4RJgPxSMsGU~* z6n%p?GYRa|C+$QJ??NJX7_z>(aD%jMV*bhbHqWi!x39mm z^O=|E@Hi-W8u{#$Waku#adCenglAU{a(u@0>SCYlYfw`PR749)&1K#c_WX!mQc_}Z z$%~o)T2ZlYkI9gRg*uV@6*X&l38jqFz5I62#I{iP03PFEU9K+dFiA>`(d4R z{3K-RKIkrkBD(ubCa<1-k553d(c(@K*nGPV z4uK%W7A4$JHsP~_S+k+fo2anj2ccINdXkHPB?M|SYbBWyp+K~>9Ca?THpZv#Z7w!0 z8~kb3)MwWQMRzTEijFJ9c^? ze8%mnt{ke7d`VNN)MEV};F5*Acy31?8qQ3fH;X@St5;+Wt}p*2#!6Vaa`TaL`5wPR z&MZ*BUFQZ5(BRzX1J9|eq?Hv}HT#rgJd?QgQpnuJbiFzGu)f}?EK~=6DR&j~JUTW% zpBjKIwb)4=uAw5h3rRJ4`K1B5$&a7{k#Ce-f~*f9MBBtQj62Rt7^LBXH-3b~tzCx4~t`9YJN(mL$}IIUB~9ah~U zBcAwFL+Dtw`$bB{vHDXi3WeTCvA>^2bq#`uFwCt6`)iwp&`4F5-pf!ZU3*CBTi%nX zw+L;8LvE~oQT2B%DO7-_l&+>kqFX;$hLgl97*Ty5%eV?M$Q zDXafbN^-2}aD4lU9D;Iq>Nf`i{gxh=IY2%9J=sHivkWLhNrx_9{rn~cHvS@KI_)cs zzp#tuAASdSqA!W?{*~Rk6Y%RX#mC1>rm%%Q>-Rv`IiDDIwjWGP(c$oC(nUj;B!C9v;KlYe^-QqvN~>W*E8z-c zQ2ul?^PN$o)HRJu+o`Q9D{_7(LO{O7O>;U_xiGzo26cxAk2#^Oq1h)qdzF+gH7Aa&px(Oju)at( zMu0k5!J0rd@~Oxf6RhoV?wsMN!@v42g2ek)N0C!x1?CdOh1=lopq%1YSx5{`z&ym52AMO#4>Z3ffn7$)a}Z=}EJ+6%|D zAv7sG*+)6AbaIKd{X!A_hblteZ%N}LV()ic3^HD=ECrHX8XB5l5?+6ZGM%nCH?ciy z!6J7D4LDJIeS(l-=uLK_Dr>pn+7Ql8{ITYq>wnOmXjYzRzG2`bkNYBKK?7ickK=2s z){9B?3_}+6$HBNw1)CU-wouC0+P z1{Q-|g{E(4$Ot@j09V-FoLdG58?;=2{y}g^2&sLSzvdvIjGs-7=mBX-19%U z0EYcB%$5msux?;3CMzeW3vk5wMrRx>tT1_ggh)i?e~LuVJZzl@vzg4|cWvx_8hFALHhh;$|Nz zJJexQqYsOWWooF*&(HVW{`h1(tb19e8+=|As^QSo)*|~{X`O9ftL30cF$K!MvT*W| z$+tANMEBpsUyEtG*ZD$l<+H3T!9)3urz^2S;aTAAl09+5M&u zu={}0z{GP>bKZ z2NdH6x{wI^BHWmgD%O##=%387KG=Zbl98SxU}J$yLnAv^WZ!ijIL3!i5ltpiyh9bJ z`_2M21eE(dQl(VLb$wJ`$vhABK1m3{=)Ab81}Mh81k_XiH>Q4+^Uc%rg8wrezFyVa z%}ZO08|M|_;PI!e4a2Y}sW$g;w%IDPw~wz5<8b+l-@oUJb#dlC$844p=EhGr-SFph0h|G{$eLp54kKuB}EPudys;Oivu zzcSf1%TLGuKUDV#0kA|D06IHT0-JeG<-XwzIJpHW8GreL1Zao|#R-*6ip}=OTfkr! z2DJbIivg;mqvHqbTJUIw{ud_rJ`6y~y9G3R(t>L=B&XQ@yH zc3yn~wgw+L{?8=szODa-q&-1Y?jtMjQeXdr&79)lX1K+A-Bk5y_fV4HpV)4d$Uy$J zy^2x6W3cgR{}dh1$mgC_S5Inj!$eem9Cqra?2x>tBqStpJccw9p4wl{Q3Oc_?P==2 zS)Vd}4zX<@Ta!~rWu}jUpwfx~2qF==PPSdPqQi3fzf5X0LLE45VbS-KEJ-X`k~7l@1`=8Ku#hIu^+NL!vAWv$4P~I9D??KO>_p zFq$9ulq#@mhUrBak3K9Z`Sy(r2No1ui00M8QjZSesx0WiuF83PgO&FiMF9-qh@U?# zf(Pd2G*Yl1K0qLlFL(nNa5#;;dwzbtkg%|>sp&Vs^Wpry{@X1PG-7}cPRICoMU*-S zKouUJRLsm@C>$V#mH6VMgm)4?0Ejtm`dlfTpOfKdRFP%^eUpgDP$7mOX3?42Spd59 zrXF_K8$}~T)S-aiXQ0ffynEDuu2tIjYVQGe71aKVAiwX)p2@vwBPxwr2YMQ-ZkdA$MK4)ELGnDvt zj_kWZ6m5M{kxs6aI7P3s1<_H)^&iLe-E{zH=6-8y6B<$93UYW z7Qym3qUgZ zNl8gZM@P$`ErlpXfW!0K{|KyTK^z+L8%D;`p0j7j$dAjuZ-|qSlB$6eL~U(t&1ScF zM4Cv2v5cFWn@|kV*B_$ve7JO26Wkix>BaZE+Pv=>epVLoG#{u2F<2RO0E#utk#){m z_|xq$O45Df^ZJB7we6>0^GFb&X!!c#~WO|JN6%Uy`ALxMfTC<7(Nn>P`;X0wvT2MnH(KpJMh1VbHKdeyfwhb6Z z{LLMUy5o-2$i9SP&Btr?ABXPKVJKm@YG>_Er~8wnmX`F=DNU`H`4!t-Hm@%jQd&!L zqzF^|kisM4{X(U$2L3>&rZ!vC+gZ(LeMcJ}&#;t*wh@^}cRuiym2OiajVvwr+#lfi z#VCo;GWwoCi;YP*ZNdR?7ISmFFh4(CZ^_-{a@H{=7WvJRcB=}A`2KwB?bGiFMS@p` zaJt++t;a3n=?Cmj=e@)3tp>+3{okL!&K&JZjHaM=ttO{5d4DM{to2Y?Rn^lsL|wD? z-0`@$s=&5jldNhmSw=J?h}#fXDSb7&J@DLCjV2;Y%(sEiGv0EIC6+wSSo zxf5w99}%J&X7j8f3Cv)RihunPlAlj!Lz0@J@sHlQX20noDYRvN#molV?(>|TRYn7- zG0Lt)ULWspy*J)qF@$*C;zTD&od$h*C}?S?J;GST1Uyv0!NhCUe-09!UlQX(a=I@W z{~%zoKp7=KO(O)7F!U`qVQFaws-Yyt@9rLtyaBUVMx%5yn3xY0D9`LGt9B-fKMCG= zO1g+3--M;mZB)F3av^hCVq=D-;@-$>I~R+sjkjyXu1nCw+d`oGaNDjNH0=MG5=kAR*6Zd=q2Gmv=w?teLY+b2!q=gH^{ z=~w*aAyx3HP{9(24S(>*g!HqQO~nEn3c9E^6?>Z!RFrgB?i*Yl_5{^X0(kYTurXTO zlk?)VH1_rVmx35lGH!{fHa8mGV7YF2i414|)DW2>7HxQix0=Q~pUef0<5BUc5S86-JX1H}l~$?+LV zT8N5Ww&h_>^q_$F>nCFyt3br739FBRF@t$mdp|5yIbgZdyoi5@6d|>y1yod>X)U*0 zmmlNrP+l4Iz9R zS;-70<4&<{c&xfhDxzFM@cWiA9|Ov-0P0F#!sQ16+grKKTEe{21t@vq(=e_2!0(@{4S9k9rF!dv#_lz|2KahNpq zdAY2>mHOR!Bt#m zrurUx`-(&Ko)?iK#q0MC)_{btDh32DpEKv(=m3ud*{;OeI)-&Ftoi1o~|o zi!ajGS-!ugJA0A2z<3d$#I`XOU5NYn-NTa0>Gr>DS{3k8I{1m&E-58sTqaN5XN`rh znb+&B#@#l!Qf!H4Hi)gkU7$k(px))xR_fIm6r%PZLvna`9=;YPl#}M9Wmtb-bp&6% z4QasrZjpW}NidOU?h2)GPcomA@9zo(e}~WAGSb$^3*g$Wq`Lm7{@8Hi2Ha*5{1eb} z>)Rs`*pZNt=>{D9030fss9(Q+AtFloZjajaCUY}05oy|W4luk&j~=1Ty&&O4@`{aB z=_R69tOa}a%Fd2jPB&mNzyI(q(e)Lzp$kd6f%Z`41GlWRd>7iE4jMvp}fKjf|Syd8NBBXP(Z>XH)s=mzk zUpiGgXqmCazPmgSDjVC9;`%RaOcqS3X@H{@%bN&5=Q81wRno&Xl!Ay28;i#fUB z$#}^9bla^Vzunyw={Y&qzqG#)o6{%`AYK}&(sxBtE?MxB4*5)XX{+RYHtFD)q2KUO z;gtGFD%qX5we;m<8Xt^jw1E|!Q{Jns-cQgucLnGi80VF2CgsS3!o+BWH2io@mApBO2grnLi_&nQZ=bvq6@mdn?%v9ob)z)ET{+xX0|-)!;v6remE zRm2>l1@0;sb1tN$${l(Okg)Je9#MN%nzsoqw=iJhcrY*1aYYODHGFfXUg^Ot32RvC zHY64jeT!*-0B4)8OU;9y+yamPV+PZxrg;-sHv*a1^2UZA&>k)Wk`&O~{sZ4u_V#WUIZ(rm0zyMY z1O$9sx=t);b(f;MY23-LIU%zeD|W;RgBa9`@-6&tnJm)V^lTvp|E+ zDqlA0sj-%SYPUAVIaUzj(Id-RYrC_*H9nLgX^8MI-BtY3-j{>qg-dmq*%!Qq$_F=E zNv$03yxB3!e-ds+82I8#mMMtX^jTikA!&;6cTCNVnm%#mkD@uI% z@E76bjjl-gjo5py!X`7QJB7{yBp~m^*^(7>DYFmXMTjx|IC@E^QU7$DDpWXrEE}Mt z*KMt>NZeEO-L0c*E98|g@4up>S35iu@Zvqa{5K+th9vv(bx(i4E6gj@+xrna9mLCa z{646-q3xyZ>5qTaAbMJF!{-Y@uR+0$H!9Lme?mx}Ms8>yf9&B{wWWq;?T_amckdtE zP-3}h10xIjx!G)7hMt;W)CT{vkceayo?gXe7dU#B@n)Ktp+;~rCoWjfvFnYTZF>w@ z5C+wE*JthJhW%w`8)$UA#~hLp#Qzq%p5kR==+NON|A8B>KMvUWJ})gTnj#;7H<(mr zv_RknOqrNiC-x-z#G`3++q;&Qxvh8v@EC+zLrE_^AUqcIQnG_>1e;yhV(&8)#%{(= z*HR-RadzE~pT$_Cb;7+4g}UFe$$pIL=~pQGE$*lOmrId;>*{Jv4H(>i$(2r4yw+Cy zju=vlO|I>8bHsqfii8B>j4Wm=p93n~vm4y4Su&&qR#P89SZK@A zA*%iRX`Vvvi+cNev`4@0zrfTtpFw^+Rji=%L%ARFvmzcH!<+g3Y>!SH_sUJhwVxst zLb8%cFIBQlJFPe7zG?8+zr1^&&5R)(;X zJmg3x`UCCE%G^C!9;6{=n^Vz8+VW;2q}vU}J)~%lM6ne9?Jp!ZCz)Pbn@jW0sMr&& zz=i-R-3T+T;nM%y^&KDJ^3}SqptWXQo2gQuTpS3Xl2wpW*|k4cv$DO7%H62n3@F>NU;n6@1BI2`0HLe%lEtNLO^ge#!2HT2dL z?e+H#whyLwR=h*LYNmp2>ggDL_b`U*h@t2RdX=;S!%_X)!^p6X`af~r`}mQ69kl?_ zk}{;L;&X<;0Ho}t1I*1Eb2N-;I)JL7Gveqyy2j84-3BM#QMql>+qT0r)5xyvxtdb- z#bNMJ_-~hg?Toi{w=VL^4N8BS8lMD5VdOly!53@=xLSEFxSlBH9G2}X3yDEz3Dwaw zZPoIfe*(oiS#7&4zxu$?YU$`(xG`z-3s!t09fiXNyPs6c*Bg zGEP|ZEh!XG2#QpjN!Fg=t&Ln?HFC*!FVx>4!JNoi|2dq1cVM0@BpI5_3b}6q-PEw? zLcPN=qWJ{$tY9=>|G*A-3Yt)!ut8IV0TJNIy~4#+DuPD+Kb(DOIF@bKwkAm;vy7RC z5JiN@l&L5bsf?9~P|8fnEJ{+wWD1o~hE(Q|%*sq=nIdDz@a<>!{k+fjem}o^d;UCI zU03IIoa|XcCA~QaH55SE(bS)r&F~{r9y;?a_^jxYJLc};=JB-6^`bD3sJ1y=QwS8*x*=aP2QCjweANqKJe z4(+b0tBOh-Olyhw#K@E_Nx4twh;!x-Ub*T|ot`GobPo?YO~1N)u7Tg|Q>%2Ww)0|Z z)qLp-1&)E^O3Vx*XJ52#s=%h4L@W$o67P2#8u`+)SoEG}WcKtt`yqy%Pcl6-fAna+ zyW7L!r8=yM@m$UC>$;lU+6`G17TV5nB>jHtJS-C{%@(2>%y8pbd_aJ@8Wa(D%_Nqh z#-(q1Zv}=bS2zkzF|3@3^i`e6FK(L~m_G7pF=bQQ`Rp<^OT*%QtZRI=WgJc7b{_X6 zdYeOJ9cH_Eg^gYn&8>ngH1B@r5Gig!ie=2O(Roi;Fd3S6YU4LNr8dCm?!-*yG~MAr z79O}oqOFG&easp6!$ydxi{a>Z@LcI0a+z2(5SjCb@A{nd%zL2=8nq<>b=igvvqg=p zJ9G|YzxFDm*)!PdIz@fVCbS}crs4YvQ+g#%sqgqIZEo8pb;)*&9^9&+puj5Yx^>O# zgLh&1c-a?~-;6u1>D91O#Sb4%-}>Dty*MvdSfBRAR)LxE9}ZcPzJXympQ{`%e5;eF zm5IdoNRB3KLC7u2Kh9Ua_*1qqQFW)g?6QKPxL2rAuSr)yuC1>d6>Y-Fj~gsePNL9 z6KWeB7^-47bE&5CUHlRgx$kUYrvHU=hXk`(GwU-W>|a?>>4i6|${&mV*;sw$_^uVz z&n`t+3W3INKkYb~ey|~FC;JEO4kSG6pPC9q$Am{?E+WuREn&6wo9>V&nOR#K4Ot}b zp=6f}0O}?`{1j2vrni7aB>J$K=IE}iZtl-pf44E(TAv;0e`_P~Xm`;Wk1ib%t;yU+ zBy<}rUJdc}#aUHpL#jQ_-W%-iM3O0wzTiAnG##}ij9o)p``A~$5L0fCI}09|R%arX zoFe*NM=f)~pnt4o=hfENw2!%kg(=V?UPTpN)&FOvm%K(Xc}L>@PtOM1wltN0r3DV7 zX7djS2++TXsM%iN!Lqo%a*(<0rHBkAb$WY8@nECN=*9Wb4&rapKjb`ocn_v<6L4lG77#&i~N zl=!1!XJ%^~;_;{4VLFAP$KXO~Vd~jLZtB8(4+GuC8@9qmxeleX^!t2?sJ)Y6zcIze zGhZf22bt7v{=(dYlO)}8D`f={2eBVV6i-P_o!&@b#_kuAG89h(E>KsgR&jFCchWns zvXSce+<4h)Smf@T#oF51+Wx_5KWKAb>=fqWC27Q02z`9VTQTD?+JM6(zG57mGqO1F2nS!1yA{8XijBctf429 zao^6JXI$Rc&%OJ-6UV)K_f)FNP#z;nr8YfMDoFh0P?&$rZVRBS#*Z0CA#E7v|*HAi7CA;q&Dhku#mFyQ)o|86uR z+ePd3)Ff4#jo506##8(2*UK=b&3A+|aiIFkmon&tNpQcN-Q2h(B=nbNwl4KLf1m1U zzrnl9qs^qWP~uP_wN;Q!!DdB&8Zq;l(;+XmoUHE0i>Y`N7Ivq<+|PXOafbb$k8-P> z2C6sry*{lLJ$BSaXq9`KbKw%Z_sBL2GzKMd7jp9Pkrujo+?CzoBxW{$(*4IlnoF8< z2UXu+ZCEEe{&bm^Jyl-u-p#FIq9+B1JZp@U-7(Z5saaX?5zCE;qxgjVlwwxRJeb*eb@H7e zAc(8Wf{K#T=3}`z6_JN-0o64Kgb8dn*AtuQV+(n`rBSV`(p`fDt|2+#R}IUAKvM@mO_3cg$IJG`4@_Znb~$Kvjw|i?vd-lXt4+`DLERlex8P! zI?Vcr`_gW`=f^AUifxtF8Wbw}*x7!a{=krxo4!|unVSCV-Q=ovry;u5Ns6kJmr{-S zb{tzt*IzaLSOyluUQNaG=ULz1oFHcKmAACeU;6Thnk_^SiymTAcU%b$s7A$^0q9TK<*Y z*9%zxO%v?L=l7`d(tOJiSFU*DC-5h;L+iksIa70<;Xn$w)J<|Vr?})LcT#;dE=hK@ za$cMa%$AqG()})b)VbnuZ0tQ$gUujsf9Lj_z4rKt8P%UUW|yq)=vG!H4u(DcTwAMz zTdY!b)YzE)sk~cgOg^psh8Y(~yuPuqK!j84mLCrZ|1$wvmk31lY_h)whPCw9KaooQ z6e=yNr6VO>@z@j<6%o>$;>>n5ns>j>oz$^C?_7RtVwcnO(}+5d`MNlFRIb=m?&|XO zSecvTy6JR_i;G#gxxUbLj5^DxC7i@7`5o;=N4||@bg1FEDABv1rBzOJTyLyA0l=V#hBjo!_Q)S1u5 zq>tSgUlSS0go($TM~)Plc3~LuZdzJwJ79i>P_tRj+8>3y_O7n-`g(0gx(qW@QxbIS z0efx<4Gp!wb?aEV?m%!92lURQsXFn;Y;1&^o0}g*R7k$lY=+l%z=olB1qFejx`|l4 z?xUBgoq*HM%Fd>aR%KLpf{D1vGHCIUb{N=NAFptKX~`KloSsf|z6oG<1|;2;Pc9cU zg74k?WEt<_hp{3-p-LP_+v?|f4?R`o*njXKExaeOf=C#1nX3fFHB(@;)Nos*Pp&SJ zy}u>5N&0E(uBY-I1d>ifW-pLYt`+y4`PP%w|7ZaU-580Hb`z}`W|uDU%4i2RRSc5S zvji`zy!f@ceB&OI_+~6BRYIaXguF<-9&(dXur%zKQOW|Fj~ zd&*&!0zobQ-yE`AUH=9We5%e)MRvD!!?)$iofiR0;{5 zBWpx;T^+G58UWN6?}~t&jy#F?b5G=tMD1-Rv21wio0P;I%6ixv8|o47)qarf)vsu8 zXX@zaNVM2JmNPkN!!*&?Oh9eJ{A+CQ9ml-Ehzw$~H9{KxYjS(%GRN1MZ%0Mss~vAt z`7@J5L`1?KKjxDmrA{}*n(H&K3^!p1Z`{72EhYGY&u{`xQ|Fsb1&kg^PEIaqY}}1S z*0gM@DHjjyL63)DYsR_qo*uTQrY8Io9ukO5ngP1$pUQl9Hodu|h32wd;^N}=PEL$$ zS}&RQ>>)a=9Vxit9*2h~h2PylvNu9A8%wHkuC`I439Yi@t>wQbZ0`K4Zxh4@rk0le z*uy6dkPv*KhG?d`?TXNq{6Xs&tUgl|Ly zJr7ObsDO~=#fv`ZLM!R$*n=VsD>qL@mAU+>9qJkyidcF@xbNdJhjtORW|*BgYG~vi z2YX3<8MnMl{6xFnP}syXuu72azZq4BovX|CB(Jp=pcZE;LrrjHa*s!XUoDY zX-%{OAQd&n3#TGNgqn=!sx+ipx4~F(3JH-Pw5<2Jvq`~-!~5^!)!^|E*opPz=v`nm z@m%ILx3Kv4?36ybFVi5+QO5hk^HJ^Fx34KoKL{UuKaG~VDhO)C(Z+|fd!e7Mi{!cd z3vyxj%_fI{G$vhL-T4=hR3sQickId)0pc0ZbeA>epTn>(RE0yp%gDpPz<|i2q0dpN zd5qiIY&}`auY2UebZvvd^W%FadpEVQ`;Dl8ExiVg#tE=yT^2XejQ1nx@cXR}X zCSS+rnmsUN#plTrM(b~BoH9XQAetw`r}0>{Y`y_OoV>iMKkQphw9c9h8gG42Ni<3WDduun`MMYXbV$8WJ2#xN(>*v90II? z-x;XFCG%L@lz1dmEhbha{%q*KK7Ux{*s(_byg(s8-&^oYB>5no$dYyYcH5ih;8u5K4}ehh4ZX@&^?LVie8 zN+Eu}bLS2jC1oXisoAw_qB4)`#Sa`X$FT*CowM{TBBvMXgH{~Vc3@O$*48inxrnZo z7|9Tco*u$$p}n=q;ah!K*=C$0yeMHknuaG&?v`Jh*Mq1?!;voc#`Wt;m_96i=?fhU zfG~G5TxD02+U>@511@+%{a1$6FqDA%_Zis&N8|8>uKtaUCnc^ll3??I^o7~ z$0C!Hc?h;JobQD9ojabC`P)fJv7weB=8!E79-16KYA4ndj4!}iE?&D9itpA>JGqH? z{UD(6)9q5?Eg4lR9smzQHj;=VBm}nhi<4)+Wtx~c3ddE}yK}YFR983E)UUdqexa{; z@gmQ|@bIQ|J^tj>)ZkFUizUyMm6d@KHii2;u|M@$y``DiCX$cokJPJte0)l3Ybn6K z!qYQhT_^>U7zsLm``X#VNHsMyHjyyQZ6Ic`f)c$Q6}1O`8X4ObSWM6-SR5x5zm4y2 zUPWsz9R@d*fYvjEDjYBM@7)}`fj0_{U|_T<2{-a62z%le|6_0H#@46%`0-=k&z~WP z2En1+bh2}Sjtw=_&qjR2GBn=Y-(v|-(DtCz~a@}VB!kwU#>avCUWCFVJg4+ z%f${I@`j3+=^ltAFjCx|eKs1kmzudhTA3INxnDQun;U$3vzD?2ymvDje=i$6-> zT&L+!5Oe=NQaxN@Uw{7{xIxqEhrEe{WR}*}0kTB!wi}nr$BRU6M{oe5ElW<5)rzCVe6?;()fb~1i zkA~sNGR?%}$%xZ{&L!(wkBm*vdwSH#)qtVl@?{abVlU&#F!9;2cEcYy(-d7k#BMCt z-&4B^&Wp+r_aLm*?Z1H>Fmi5njsq9rEc`w-D4(N9mj2$TCMKe<>cAy(@4I(9dNh+2 zb@lWhT-rf6(4fjU+1Z2%4_!YD@M0nsvnh-Z$2R{Rmeusm!Gei}Wso?O*;yJk4ZCdk z%Y`>@-yW`8FP6C4Nh9@*U3w!NCIJj3a$C{u+__Wx ztxhsG#=~H^9o4rNr?njELNM}f3u5TM@p~gYI{M2Vm7s*{!(XJ)5sT*ZJ`~^4E|0G! z0UCD|K5~Q&Us{D&K$tNcBZ0sZEyg5ojnJmE2QT|x?RdjWOteI|AO)KY9l5U(a!>r1 zF*iG`g@qBj#>U3li@g-uE{XVHBqb26OdoX5C1YPx#m&mL;%#ZC>!x54wm&hZ4|b6_ zxSQJe#M=gQ&l!aDZI~5X0TaY?ec2PC&P_bj7-IaD?;j6i8h*TeZr-ebs5=`g%7|oFGe!5`CkhJ>-vYBdU+l>i78aKE79$%pxX&6I+MkS6-;U{; zRG1-v?=2V=V77uRJ1almKR!MlH`2$T!u|Wjv+fWC1_T8u85uFdO*nJ&?Ew55BSuao zX@v6$m=wujC0ZjKQ&ZTe7wEcV*U4J14~PR6Q2P=n7ORT)|D{&K&Y&7K+FPsu=ED~V z7`aSvXmU33nKc4c;4q0P)p%jN5t=~ww{a^55xsCWV@I^#ZmbhDJbWp@JsFUMlB?_c zQT601xQ0R^oXwB7?7X|3$`5J~N)GvZs2&A|s&4!}APdX&4=&Emro0IIZ!q39y2apjtStXb?d7@;F6%w#3mwf297jE0X#A3pT{vH;u5AR z&^b+YD`KvJVI#j8@hsS~7Xm317eF5@w}hxmVjoCVqL%LaHm^64ODvlU`00n@Oh0Wj?j`o+so+;9{Y+Dy35{rvp?Und#A zqGXLGKXNeZTM*9)o1~_;ip9VOi~88ZhS}!Zpg`c12|bgQlXDS2hT+_si#ved?t)SX z4o#$opJ~j!YH&R2z&7GWuyPev;Hg5fE`lgWgMUdx*6BPm;EUI0iKB{(z(gmaQf-nx^OrSf={pR2XcgyPwEI?A&U@t5uC+94xW?cb;PeuljKwv{O{{kC|-55Ep?UAx=cIUlV z>v(m^S<50*%k@9i9LeklFH-={{A*zL;K`ZfoW+VZ*4_RZH){sA7i}UTKD0CA!UqO8 z3K-y{Q30ch@88+CkW!Q&{77^2hY@&%q@;e8rVm@fh^T=EiBSxdL!=>IYUw!N7+s2P zAjk;!<>4pbP{avj2sRSOSMkWibSUshnDtPvKzaS@Zz+cXmE-a9YzQ%BfHefC$;Cy( z2MdLw@z>&_UvY6U4y_7@Mk3uJANKf^03E@fzyX?CSa8dPwnj-_WdHyn3NJ*S?F8?> zDJ#-Mm&h*gaGWwS%g0GU{MqFo;al8$Bn=n%(`}F5|!f$=vFE+dL0YU0- zIG`nDrpKw*tnry*`(+?ZyLiu)9fXnr+ozCn@crW;I*Dckq@7p3rBUbE zbZk!77m|5+h5)v=qNVKE3AfOoumPl;A&E9|VA9$+Sp&kLKC`W>8Ss$y20TA#ORG$dXJ|OXjLx(HO zv?)=Q&}O4iCJ=$?U;K9+dZ^nmF)V~zBqFo>EH^Ur(odg!aArn4cqIf50ePUR)@1$P z=o}UqDIh}`_FWxGHeyo@$7!Mivk-Yfn7Ueaq>j-9YUEeC@L97s<|C^+#UxJmOmO+V?hLgR;9H5)% z*)%2)dx(rEcq=JsA|eQwD+V^ziRGoGk}qG#*Voqx{~Cg5{Aj<4u_HxX3up+aOG$_; z887bvFB<{qkkgD&wy>QoL>E4h?fnHIi8K#PObO3qoprEyh>3~G6uH!BYX*yq)6_kM z^(E!MF)@+mHxZ?OcGCYRN*jrABKar$EDcJ@?S*bqe_5a)ZGqD-=vG%(2?_A|Lf6xT zOMCF}VVQYR&|z6w3uGch6@aLE{{<%MRWN=dUd-+-Dk=iPD={$f@Wrq?V$mpEEhlkc zBDY4K2&d}@A$}4pEFr^pbjC<-(gQQ&C+-8=R{4x*gv$C@AgVnW& zSdCbW@7>L&YDvK=z59Q%Z1w%%c7FLCm$U~8z`E@|cz9tm$HfI31-*5x{8 zA`=7-1p5&cQPs}|H8t;QFWOLtWy3uNo#cnc1N6iq?p;}WZm>pX&Ggq2!uHjd~+2b z5d2TGOYCJ64*-fR?7IMX+Xkz*P>k242wqO6zctx@hlrq3QjECYYIy4^YKb(B&rh&K zMn{)@`$mT{#nMo?4hab|0zcTW(CHUGxMF3v<^VqSMqEFu>fKw!4jd>0#nqT)ri=mp zo3gXB|9yBd_{~#E$2d{W0`qO}=t#$=@q@5QS>dy9wgMM3NnCk=>^&81Baw1H*NzjC zArGqu&Khq4;Wyb`KwG@F$a3r+Q|Wus2r`B_jigJLE|nqzA+8ft2!U`=+64gN{e-u? z-}vKEd~MjoXP|qcKPK*z3h&U|g9ODswp-JHcR$2x$&UPHr#cUVmzgJ3)pCA{o#0itu-T}DDgnXTRX@abb0D~9?M~T`Y z&Q_ioXPb?JZr{+5&&`R}eu7E@k9GETvp9j9RJdFwHSy>TX0B}5K zQQ{-iGtZAlm8GWz>IZzC4DLrRhDWwQ0EdZqk4h&G!xe_)c&@n;v=qjszO(P&99$st z0`3!(a?80kws4g5dy5L0^{B^QBW=eyzFtUGx_tREk@5MG)AtPwc*{CX1^i8o^@V|; ze9+4ZofwfiH90s&qwfY#MpcKL(Sh>o=c#CQk7d@tn7=}6Z!uZfS%MKNh zwYF+<3^FU}@<3)N*}$f-;$8W|TN51TUq;RKC6PU_%Q0aZUlrk{tD0O03UXy$Q1(=y z#5cHJg44Ulp9Q22c- zFkNM{skn&*0t10+OG`^558rr>*X>KZ?kv1+X<6Cw)>a0Bh=jf3TqFf?9bor*L(JcC zxzF6-;_8VA57!&A4AFcFt{-j@SPVqJtCuR>E7+s9&)!vUYdYc zCy0O4UI>`0uA>763dTuBVm~)>0^TzTE{E8jMR-JY*K+V&B+hU7!$_ks0g51y85tRy zPR)P$Un#z$rlux2d@yo9ei`!q(`*+p5sFYt9X)y*=ctNvG)qiM0@oM-eA*BEjuYnF zPBpLp_Hy0HmuE!Oc^-OKAwCmp74D=5I1-|3*|}{<1C^0dW3opuNRhqVXa^wj*XA4l z52WzZkt8S|XB6XI2eW;AwobNZ-@UNB876H(5Vw?+$IQ(KSh`F;I&kr22w{=JrvC{ec(c9*!**R5=Kdqy&h@u5{!n+?8TgGJCJ>C;|U-GSB8L1Q3Yw1aQEe^QN81 zLuHo^07Mm`uCdU~iD0rpH@R9U)IU86bK&Kcl+0}uJPj%H{{u`OXnPfcbq6946B8@J zS{9hu9f(d*-08>vV>*1DN66r{unb>VJ&TN^0I;w)ruC!8nT;scU{IdWnO6Y_y+NU= zPXJT1V2iLQ!o`sgD&ic zu_AXDh6Tw_S!U(G08}t9of1_@RLw*k6$;K%Dl0#B*zrIhLNjG_ce3mw&Ea#!yFmnr z+4m8@&=i+v3B&y`!EXl_nYyN?cSeQ?iY9WAi~ zd6ST~3JFne1gnwYFjz^pYZn#~ZXhcna1tbXS9;#(mOR2gko@ztaUnS_ppUpjhkf(wGr{qVpm&*34doVvz80x5K-{M=c{H0t7gin6mX|^A&rGCdWVFB zj0UJMPhe61$UspQjV@w@_9CYdhR$5t!J z)1z2==fekC{A-*Mn*GDWyfQRlXI?@t_yV7L<*|Jib8@GcehE;>pWo92&}n*Ukm+68 zjo(0EJuLa^r#puuoNpq^lo*Gfh?pRKbDWN3@BadRXFnToqnrfy$zb$(`)y!Lylq^T zXkT|ONe#SG$deGpu(|#hQYb~yCxeJe&P%@%Mx9-+V(e;~K_)vP)Wo8VE2q{{^}D8Q#~v|LaNuW(+=`HPVgy7mHOzS_90Z;jS0%5UsI{r6+9{6 z4P#}UC`pL2!})^is`i?Me>$TRFJA$qNAfXxIh9a{gJWCyJx%0$LU5x~(r%0dLZe--~~WC}0t=4PWy&eeuBf zo4+F1eFm=yV<*bO++&hBZWNnN+LH)mHbMB_o#|$L{PUV z>aor<=EMZSkaU4w4E$`uV9@r?&H;FvZE;2iq9|ZCmB?GS@)I84mX40j2V@Gp<3$Y~ zD5`1TQCa1jcN3MO*pmv&aA6SmJ*XL0ouUOyB68i3^nm%V2&<;ouC2Fv%v#bOL3l*X z=^M3{-Gz7dn|eKdvw?u4zz#X3`{4wd2EoQ4Y`AwXXV_xzCx5e?4oo#X$mrAvZgDLuj+{iHXt4$$KcfNRjTtrVkL#r&2WO6~_?&)mgB#IswVR zJFgATgs!`H?-nrR>;;|Ymyux`ruVa}y}b|X`Ut=nPwY``kazp@E?k965l!09PsBWb zuD_y@u5XUTNhq5S%l@{-kUJdjD?fde&V6uW@emn@X>l6Brcsw0nXO_T#j7UL7X0vD zCjOl4>{8smUYRZX#&T?5l{Bh_)eJ-EJAKuJl8~-wXp{mU5$$JiMnwC_X1$_^|07g7 zi_HsV&o+7Vk2UQIVLo*GuTW{7e`LA_e_$?dqFm@6707+6D$DFE1F^ge@#P?*dn39B znwrwcKreyE(J0+zunez>pGn0qyAAU}2zJvRS`VcUloS*c#H(Iioom?K4A2>t*NMO# z=Ic&Eq>rFch#W)mITuOV$%M_&X!v4X!pBpMPpU5xHM6a}+|3Hp?;R>p`9Nvag41Ld z!A1ag5G7-PAlHea^NY7fdu(iMesx&J_akE1*}ykMN?6hCTxJ&Fk# zC#m(dwrDL?d+{;L9=gbBQZD`NWsOo1={~*Z5;9KXw=-DU2BvSMni+I3pgu$RID(t4 zN$kwS0dNd&}#Y=jPEmFlg_!y_Z+s8>NI6&3xJIGRH{aR>B;JSOCc zr^4>Yb3^kllVy?*7(BIfAwyxGeXv| zO{<)aPf#$>LPw^lThaVTXr1&-PhMu-A4MEvQW9h8tNql`DVdf`6!APx-d zWq^`Fc$OqlUq~FX>htgH73->v85tM|j=){FiTO!Ge5seE`~3r#GP^ln^_y;75rmjy3XxHxE$;SU?M!0pek@0Fi~l<)Z-g4XDZr9YpwW1R3X~;0mMPI+K6H zX%N01`L^A?v%t}PC`5Tbq_(;b)}*ZQ*8+Xs98@~4^H&rD(*%%eOGDBEqua^Noy65J ze8-@w#7RU=={@8eD|?Y21_TH1b6gAc(iNa1>hH6v)KG2^jJw^6zOc!gtVY>ufoT`@ zUt0SsP;#i$jkgf{6d}C?owL4hQX z_z(!xcDAia*v5r7U7s8czQQ4}id-bouFVK4m<_ zsY2JArPXO-VBd%=8{SkLYgWLu(i_!$si`R^%n}W8n*=qWpBgJfUmCjtYC~aqzpF34 z@g92+eaJQl6AJnuqSL=xiQxXsq}Y?Gy_o8`&YE_{^a*_${lfJS-E@`Cuc^Fw93+uZ zQRZ!VCm!t4oM|yI>Bn#&4wi6D9Pdu-oZs~Eeehc(+G(d>KJL?>pHB1y`|+JgS{KNS zjI1x(kN}ux07cv^M&zQ7lL8DQIp|Dw=9o`vaR8UY5yX#?Eq>SU}N&Dk9b#;HyHGiTL zn6*-rx$J>`h^8;Xp6C{Kp)=2I(MEBH1`ly47cDK55Pt2tE9`7+C`brmm0`jk-YYn>oJamnd@gUuF!}~$9GFxApUH7MV8hWRaZXMCj z$_N!bQdAn2RQ3JO&B=+w=1W)NmGV=Lcm(w)d6*il(>}`7-!*b5qUq&^X>#&&&qmLU z%T{K0db$n`j?}UI`u*E$dNP@L*{N?N{u8!rp10>(N%dk_fUYbEc!F*<10Dv!oG7@K z3KFtoy?=f3HeW%^J44;tqReLpnp!ErZ+U}?*r~0tA%S4+?GSO`(wCCzY7KiXuC-Z+ zD*)kvt%wta+(Q-BUlo)Dml5?GMr!v!Sfj`nu9$GL58sh!L2b27N=j;IWJHN8j7TRC z^61zCgQ`0_-#<&+K-QE*)Yt}n0IZQzl)^!8OXay~As+v|2K7>hwUwKI_}(A9Uu9(U zqks((0<#S$Ab~1Jaf6TxaPCo7QbGV`TYYaMp4!@G#;?5|$Z>hw-kDPmM+JDHhuGOu zJQX52Ayv||pmmRRDkLWVTEf)^JNwm7>E^}t?{~%6&$a$k%7;$t*^S?s*{(gL^Xns5 zU!8wXR#-F@Xe)cGbZ|m`y3pj5b(fdlS%u?jz{Du>8c$9p8-d~mq69tbotm18<}5M` z3k%}DBkGY+P!I+4e-gSD`Eo+nXLTQS2SO@>OdB)nfrPk;M~8rNJE|IqgQqz0JDX6r zAjy0lKGMD|%$1jqZ!^hwYeq0?F2K#l?74)3;^NrWS0?sL*tG8^A)tqo=pRj$qreQ1 z5Nt-211v`+iQ}1)FFC=XKmsF%su@20ye~Fv&}Su8WrPxJj1uH6D0n}>bR%pZd+2<& zSq$ts3gnwf2<;L0{8Bt$-{@$X_{2|Me*W^_UJlx-5Y^llw@|F4@AA4_UzR%|m1Xz) zkfXiR7Lp}*S(;rjG8UhIoqD&2MQ`ZFw1RWM*-ba>7rR|Pt$GxEUTfXR+mpHxbgWV5 zt$3*u1&QhBXX}V>hS}D;>Yos5Hkbs0#pEOBhYui69S3PSG*>J~+v{U?B%VGZA$F__@+NxZ6I6L*aGG zk=*?neqvJg<%_1N(V985Ge{zl9zVl-Aq2$WxzqoJs_M_vAYf7<4>nN@gk+9)Id+-pvV9mGNzPTeCHOxw~%DY_!NHpxHVPq@cUau zuR|RB=Mt=mlpiuBP|)98Jzianzn_1h;jsjyIuPU#wMLw}prPgi@~VlBfu@DQ6#QLO zjBibK2f|keht3&0{&dEWI}L)R@LZE2#0L0-B!B=p2J5}2FF0vD+A!A7h{T6bI^hSEVl2LN}yc^rix@tLoach0d{eaKq@Z5ZU6r=t{g~g?- z4|v;ihMl@UY>TdLM4 zWDoLZ+5Wi3Ds!Cn*>ZgMA!VfFtE{Qi^ zJ|>G|+)5jsI89fNu8!D(xtXq!jCUJ-oRcr~{j_3Q$yTfm9Y0Z1*07303xfS97nW^=Tzse?gEExNGiA8 z?=5uVsM?UebEaP8RLg74?B8xrwruBa>?q%f4$NZ^hy<;D*saP@)K=f4rFQdWbCz&Y z;RMO$ADeXEJ_^wK()f8gVL)A5yYk=uWb858{X8Y)WY=@yS}hGzVUHUda=tV>bl&{p zQoFMfar_&Hp-$oFZS0pmI~){bbJ66DmX)md++@*+?C^Dp1_W%-P#eQlYU z_uoF{E1x}jW%h~ag~r@JXl8eT^l}RM;jkr+6dLE~3>77#L+o-co5Gt@h!!gOq9P!V zUlSB3l7fFs@DF0}h3(l#;zBESskV;&?iX0b27V}?o~6@dEnc7yc@b0EezGvUb-e7y zphu>q)bia`OI*_RH|;!Are*MRovNCpZ^A=@kJ3&n{&{?^*>{llS@cA5 zw;b<)-a$?S5)=KQ+5^$YRNF3e$)`nffWpqUI5ue1ebaHNo95|4M&J1)R?QmetHnhp zh3;qt?!gq^9eKvC-se;36lz!Z<3{hZag~M#1rAMUYdi8Qe52Oz2C)8?A)*JM^0Emo)FT zwLkO63a+ERBX=*dc)!I|EXh*no^2!nGK<^0Wu4RxA3R7zoJaX@J|%FUl3xB{b)0$n zZprPl+gx;Y^}>+Bj<>u>bUDbsO7Fo?wJyEm{(NUJTP=z2@b1=NdB`q^^vf znlUQu9+S0Xx!){ggiF;yWTXB4ckBEIgPB$ z%%p+3=LlAVb{AB5J|$b3Exgt5Ny^;*xFt~W=808y*C%)h!bUk{Z!fPX@>Q2hEr`sV zX4Cq%k?iahUVGlRel6x3X;cAu?7KAzSYg_0{X#q4W^KAMGCJ@7L78Whv? z(;o)uddgimVxr)sz!n;D^KFtQOG8_3#A{D^ecmIoRQun|ojld&6miH?UVhOvFInJG zNnwt#e(tKm;?zO8pcl4%OI}~y_>+(BO>U%4{vAq3fAYm`I(jRvG{aLzU5@GxW7 z2$BmtGfk4R(%cbultxKob8`3_!59yPt(!S*!)+SYK8VVT$qv_!$lr*MI_MTU7Al&g zb6w$_;pq>?#v1wq=9ZV56~@IYCU{4G$ZJG}`^QC9zAk7S@Gw}Gnfuz@%(PK9x4QII z#<>X`>yL#Yd>$*y9gnjq<3wKscnzu_`33~Z*r=Or zpEKL&pZ?)*VoJ84q)a?plSA!MVrZ%UQrm~H}3@6JQlfOKp z4_Q$h&97R?cG^&wA8(3Ntcu0rK!R6J8M>k#l~U78>}+NQ>O}-uNbe>QB$p4`kG0xM?Bi8*Yj@2!Cs*` zCSL4-Nl6(T|JiWQz<8v4Ie2ybhsn11mX|DF@@t9`PrQ80oSB*~Wm!Mamf>}M#(db= zxsks5>PV^K>`5!A`0!x6idjU(vw+<`B|5EI9T)K0n0AQJd*&+rK|+ujTM&I z*jS1S!kj*00T2uy7;G{4<(M_p!@fSBK5aJ26-d4`=g!4}K0zhFp!r?ru!XK4|8BzgXDWRlRchuHx`J_YBIqow>Hkn$|*X zcAx0nD1}b1uL`;S=IB#tPxl@U=fB6laEn6m=4J;+N7IsUonO5(wC4khHgroGSfmDr z$22n8d-koxjn2u6)ctw;Jpndw`+D5(a$UXYtktgRD?JJO?&nRFjB|JmjNMu5$e-I^ z@4r?RbI`c7x8Vsyo>51fJfk+CF+4ZvfbJ}kU-nM>XU~@O^iQJn`$cZL`F!ZTt$lNu zkD&*km*1G@UO)2gNdtrE-j(swq?De1=ko2Yeti1;{jDi=G=o6b5+PJ9s&0Icqw=A@ zCgMATOwQF{17j{XJ}I+f`O&j|>w+PNr&{{#P_N89!JUg>yH-O{o7JSTD_3f!SyYLSm-$^pl0606J@S_`|(7_M}V zk@EHl|L%t9`!8G-_O)rvnN7B773k2Uq)&Q0ITrOBU5Po@I=o+X8FZ|;Z+Y)a_tTyx z@p+8M)nngMygV35DVa)8XPI|hMY-zhGvh*UZTl0;%PVxzjNSG1d8W&Eg+=CGYQYtd zFqZF6IP+3NOUJT3E!%h9qgZC6ZH78*IWA{m+;8B=M0skwM|Gd&)0ESHM8A>So=m1? zE%{(1IXOu#B>>g*?bUp;;K4rA1~knAUz`atlgrcbHvLaP(wpi zzDB))WUA_@DlhK{HfHV%UbyOII_ond*Evu9{J4AAm|m*=#G-Ah?UL%?f<#M};uaEO z<3#%G)tDj4xr?K6`mwxPkHzduNLHlmFVzK{w0_^g{9avY=X>9GZx@zHFZP5!zgaU9 zd*s||jgb)Bd8<)J@fOC zr$riWJ#u?2+(fEtU!$y@$Qy;$Edk(EoQ>LAr zb*JT97n>s*or(Hq9+S(vzM;&#HDmeZQMIebK_O1gJJu~9zZAwLC0S(GOxN`rKXfaW z$ji+xMP}cqprb?ebkCt=Q}qQM1`q9{_FG2kHv+&hzIU1^bE&XvUk?O+GneA4t->Ev?`iQE>mEJr_yN?G#Ed6$smL@C}hoHv({rl@$ zuiwTmoFjD>#z|C;T@YM}>;Bo7IWl~9+~r9{Lj&XOLm5U4_l)ct20i9d_egtjp2r)y znb{2y9sRy{l(>O*eznR}T^JCL4!@BW(RKHEmAz*kyT+=Y96f(R>fE9GFLh4*VO?1m zs{^-6ae;@^r?G&ss<>qR$cJSY$0I9}Y3KjwGsS!El3R8;?y)%CQx`mFB4&6PPWSu0 z^naYLl*J3e>3)Av_Sfmgh+p{YbeHvqifUfuP(^6+Zh7jy`KBvPubcsgW!Hdg;=QI` zMw;sS({n0Gv!`Q&t{LocvCc{}bxS+YHQrnkcXhWLzduf5xTI9sHR=No1byeut?>?* zbmneC70SFNXxLX?FI~S|L#w>>`_rzOnU4!oHZNRU9A@SnV&kS8R3+?6`HcjLtGXvD z>f3Ajl31tS%k>}ZXr1QxfEbxt#fodvVZr9eLF{=Jk8b;;{&)oYHC92{#9?eZM%h zdcQ`v3K%pvj+Bdshsjszl#Qil``AH}99PrMJ3(Y=Q3~h1pvDSocod~cg5fI?#yWbx z$00`%Ho0^26VqJu(7qlq6?WG~@JV}?Ywi6c7Dk5aCFflyAF98yihrBI+q-LLf1q8% z*GwI|#VLi`sAYLliu&w!J><3SekQ}HE~r02VnHf&`8037m5H7g|6@vWbI9_)Wf;Um zPNS!=y-2HbBEmw*fz+o}$t0V64nKfU;BbZ3bP4<^cPlrqJI#@{$ z7fuW19`r(Rh?Qllv}1OxfQIy`4>5I`@!}L+lE)F+IuNOT~f1#^d zLtYW6kbvcNm{6pz%K_b-GmXX4=SbMIM_hssnqn& zw>{Sx#>+%eUewU()2{^g#bFxxKi9?m@2}UuxtsQa##n=@! z{bNEomGWo%MuP&N9JN0G?$6UFHynCMSJ&KwdtS>;{`@)GnL_*F_vB#nFqx9~U2^%Z zkC*n5{OrtWbv~kZ>7L7p*@!77Au2F-VpsY|qV@AHl@8uwX_)u9if5~Qt!8Zm@&>I`R?+=7K&sI zbXDB+taVE+H1>SXY-zgQ5R!9ZTy0rnO+cX_K7&awMDj*qe8j}1OApPL*8~ zZ+l3S$V=LY2i2pwjMA)eFW%ZN)P2z{O(yPR8@MDfKCv?7 z$5OSJsG7>`n5D^V@wWKJBsYW3eA^Q}4|d~-&u+{e%Uhped?Kp$Ywbm@<7g)>qorkY z^Vb3<&ve~OR&CFBeQ$X&Q@VP;{lhc~(ll0ChlgVaXM0D++ENWl-`B-RrU2>4|2g0# z8g+`>&tSa0GkMI3{N%p98;nCHULPKM-Dlf>qnG}Oov)H&{_D82f7bHP2TM1UZJSe9 zKR!^fBYb8jh1r*!wlo8&N3}!eF0Hey&X>^KpKHBm0K2@@{#o2+<>pSe#i<|Fss7Y^ zZu$-fE2t%W_5#&Szc1Tiap8} zSSQay(rU7&{=M#o$MNY^(FHvXUl!i19zWu@>t>i4n>-%9{9&Gz!Zhi7BVDPSDo6V4h1^uX$ ztLZ*Gop@3JTJwRf6qA{5pXzxI2?`SAQSxh7O#@41+5K4Fx@yDxX(Mi3NC+3>h~ z=E}CdU-0~BS^)0&hGnr<@Av!kMqZz?I6ul-iXL%uXJLcuSos6|fPMJ@)O{BM2>kFOsWlzhsSr<4bm0{VvR6Wlk_Re&fc5Nlg ze0kt{rls{g$xMx+W)Y7c3BVpRrLi5yuS{4t&Sh)78f#5^+;Y}~>rR_-RK49fueKU- z-`z?aP;!))D*G?bRU8wz_ajPvZ^4PS5xFzr@-?B^D8yi)Q~KPXhFjrkEoXi0T0vNz zI<9a!$1wlzxAYd2*_X9{zr9{4tZ*a1OgV@D-m<)g9?g?V#qd9(zV9R16HsSv#+aou zA+OZ(cMq~K53JTvFiaIyMzuSR8#q0)+oI!s-o|iY`UHdAsqIeN_kCaE4$85i4<_BZ zMQkvi%tlxwva>q=_eSVQ?@OnwHzymP=k2`lhjhR+TtU6GylYJ9F4aawLxmq(IC(?w z% zKy{p~RVth%<|92_@^M_m_4Gi{vV#>Orw$Ss%y0eoGDvcu8ATs_sNY zMRREgICAlepC5do`=Cn^(Z*x4N3E#YfPHi15w}AoA}ayqdNHPU7Y0bwjrg-Kvu5W_ z=+Y#eG3i4c1VxRL`>W`b$SzzpEM^ax3^$b6n>HDdtA0JkVJL4bhFkjOd|z$BoXnBX zoVIt$^Hl7c$HV75q9NR(lBX*@ z+WgGl&Z0Am?A3@$o9W=hX9d={FSI7{BkGPq8P)}T)^-)L#cJYnzXd!Mo*ccb%}!GF zI>lk>%UVB8edXn>gK~jIH9EB64^=lRpDq=2W=(w(G5+rC6)@+Y|1}Tu+;tD!7-Q0R zH1^xuuxe&fX5O4rl)>3??wnXo;P!n*%bks?O?!xDh?`f`;;URE+Q%lx`W1g)yKn{E zfuh=a;c(~Z=k50PS*hRwC_G*FUijcBl*i4{*A?;d*Y7#W@&0DXWo=HcB9{{~vx-tb zGU`IzKXdp#!{5%i`qhY^ZJ7jxb_uuS9k|r{a_<^{T{wP+a~61Lu-ahdi!wYReXo06 zBOkk~$1l$8%W~PRlI?Mw#@g<`dz@TlpYK*0Z4TpBlXmLovN$)EFCtJ-=X|{@@=VKN zxAo1atG0|e5W#VT&hm7B!Kq9C_pQ>-zD)V=tqL;p$m6HD`8PHW25Oy%xY>JpQtZz; z&mNWD_pgshNvJ$!{=POye&`It>asblbvN6TrP2oq*Zs1mM;6;2zK!fIjn8-8`t0P; zbmsIMy~+EUP46fI_Y}B$NxZIISUL3T+3S4euwm+%C=z|AH-fWg9~gM1n!3AcXa9Ls zo9EY>e`mW1n{*xYAXl1`0~3PvF4dj;wL{9>e0gr#);-UD)0s28^*Lr|UW~g0|Cx^? z?9-&ES&dx=0>-v$pBkrUDrGvn9C%vq?Q5kYA3fLL+k40kT^jODT@LU*26@+dG;cql zJ+aEVaO-%rZDm9k`^=5R=c%-yI}%R6JR>6u+eR^`D;K5EYFRWLw+0 zdG|Bpo7-2UW(R&`b){Uhv$QRJdEqME`C1XW#sei$U$e(PJ-<9Sp*w&7PnOR-t9*w? zM(x75b0J(D-Q(m-toVk2X+3i!q4of!{$fkLuE|JbJ1Vup8 zI@cX(>0;K+q|B&hN1Ttl-{-3jGw&|Ood3&^G zsi47d-qi+4Pu|@P)@QbLiEY;|JnX*gQy@}uM|t~3Q^$Hrq4E0{G?ug7Y0kO|n*0mO zZbP1Vj;DEBk1uS^c5y=@=78s}~5)}2d@7gcI)E{wRgKCUQUzjVXN<@)7o zVGUEeZ2PSZRvSAbI$9g)$jKIN4Ph#bpQvU8!_Ap{3BjhjPcM8_l~*2;tTw28k~tsd zkGVlQY57UUYKI;g9xO8a;FM8-J`Oase4WUK1$5QN%W73UUs=ly96B^uYir^k*Yf}S z1J^Fe-%hC=(F)mFClFwT%D6*IPhU{dHTQV1Oc_AYCdc-5m-j z(%s$N-5}jk(%s!%(nxoAcO5$4KL79g?!E7hcb{VzL+YI0-h1u2=A3J-sUk##Z;y$e z(Kip1o~DFtBP)6hgdDv4$48a-=W(8+xCH;aM&*0uMlYZq<*Ju-BRuT{^?^yaJPcC5 zLN)2eGPx>Y205%VcL_M!eA?0sDPiBXaVAK>u8p1N!Yc;oZS0>{PQQg=@L@PKi0FTY z(yoNh%l`_c)P7%i4`1^ykQoWDjj^puqk$>9=r<<%dU~*$GJS*tl1E6dPmd=#&x`ie zcPbgncbz|X6j$LrS{z?6Oyf=sG|t>GfXxV6PEBSNeM(IZ?&tN_XAUA90*NZla}^Ou zieUKQMiXT*pP)DB$;ycW6=oD@4xP#`yX!?q_nu) ztuvp?^sRsLrC>W*v%TFk^*+4Bzy+4|%8j;^Z0DT(0CB1rvya=WH~ z9T>QI6kQ6<_uO|Gf@9r)isL~>LK0(dHc$7EEo8etSFd^}^g}eusNcS>p}~6V`dxD| zSpmjhg~-zLZ`xwoVy`|9gl@3>HM{*_MQTMVOnSk;=il<9NT?{DBTy?)ONZFXD8(c|T2Bmy)LG9O*m9{3zbxl9oTg`yKIf z^>F6)zg_J<_!SBXw-8FTYMN(EJ}qt>E@#Fq)x(W9PLNO6@I_B=yk7q+tG{Q~c-A{0 z%b@dmOwqjVi$8La6NXpM?|nXZc6P7sDc{nu&8bVsQb(2& zYwQMhCUhpe<%`4pYZf_w{&h`sO%xg|Cs5oX6r&Uw?NB>VJGy_Yjd87yWpO}YmyWPK z3zJDS2*dO`{?6BNDxS(l8Q0AyRTvK2C7E4t5lFtYMYdjtqq*;t+-AO%f~CsGzV+FNj*A90r-7sg9zZ~z-fbbBA5Efp=0}l@6v@GNho<&! z+Gyb%8thIlpIu!hJJvPs+i^=V3$;YLX49gYpqfD0H{x0$^Ktk<#z00XhI~S4-hY;5 za6$-C1QC}gPy`Yz;;UQ?6eFcpcWz+4-t11Q@uP_91`xrjdf0N#y-c-kfcL%qq*y`Rae#r|8z$Oatri#_`qaG3~ zWDJHF431pI{gN}RGX1zFpM*dLt#o3$D)L8!4KNG})`i`R$(6dN~P z+!hWvnt-|*{BDp>h~v*gZrZ~E7Y;*Skxb)wGnu20=Kx=< zQbTS>XfUjiX6H{c;NrouT%;(JqO5jMb`6%&Gus;%G&<7(2o;XKh5nx)8UYQW48w=o zv%e&h4>Zs~D0*k|Sc!~%-azK_b`B&kiX3dwWH?SZMTn8}h^g~6NkW?KewGBzu35}u z>ZM#Z0gNMV|B#h=T=|3v5qGnFjIoN0lTf}=KBd01jAst5+wxxsBS1tf+IqRVEz3Q= zbl|VfNuLc<>2Bx2QuUi>bVQut+_6zcJ2JNBFLm_w(pN@thMbq>WvTCw@v@dZbFIo8 zR?5}6K^uUTYz6g9zgAvM8ox@*HZCsim6M1}Vq#JZQ%w6krqkE2?;G?ey{b*S08;&e=X!Bn|<3Q9;&J=rjwB71%Htzb|%=@ zp!*Tg7bTnd+6$=~8>r~$fa7dGg#k3m^0gm$`NHVjdks;M@%;^GwE-f7TTzc+{b(}Y zekY-&4L2%n2`dhz7JQoJFZN7;X*xR-sWM*99ylx&(Ad0C$fZAiPy$unfFOd38jbeH zlXZyTT~aAsipB49Gnerq?N3uy+-qNxz__}(2D!?!GQIFrsa+RYyxO;D6%;ka^Dv(c z$cTO|Rn?r5*FdcC8k||Qf1QihZok;jGIXVReLz5ZEkj066%x^z?Zl8j=Fqw}O`#bxfvT*~)_3GW10MCZvvH+h@u440L zt~7A|)ap!eT42~JswgUsl$ha$r6R81hGH3C-^D2T{YQV<_w{=Lh$g~!?_NqCG@Zjb z41Z>4&+dG91WKE0wJm$=eO1E@<}=&sl(&(k|GY%N60kX`4KKW5t z7|_^rAE#>2QkhJ0d|uSW$-NpT?VDLl@||bU>n$7_cKq@?byni6UV|>XB;J94goy(L zY8wZK=g_*nOooYnO9lJ0Gm4mv3sX~Yo}IwaoT`^)@SbA4LwkJ<^k8Nf4t4qsE5W0_ zR$kql^7g}x@J={1EWWZKsu$bw?u>s+5_S6#8eZZ+Xx9oMrWp+XYq!PQJ3BNs^6hPV z9tjEAbI>?aYJ)LG7(i(7i^M%gzL1&1`(Nbu0lLVFOfv^egp@*%t9_|=YeK9+`8>^o z^GmSez)i?-)Ft$?-=ecKL%tCEYK@rB+xxF9MRmgx5VrD9ZV({E;3a`r{r~%tyoDUL zOy)~OgchUDCb3PkbCgc2>e_=3jAoVT)v z$!V-gNQXuvjJ%4Ak~6r8i&;x6x4f(j+WA{qP2!b~R-Y3!tAtpIaA9 zt{C^b;H^pbZINWjIf|m|2S3U{;V6Vo0JaB~-D9HYjk0vNqzC^d^z1p&RVq*?nH@VE zSa6{a_hnio1&RsA`9m5zEVhhuNBoLuDR?o;oqLt~Bs z_9-SO`M6v^b&+<-O?3R~2ERo7!tcMitL?u19bObwR20SWR!G^DHN|<3>q1{_gOp@O zt@N-g=I7=S=5l%t`8zMV=olD1pqgT_-oGQylVwmCcO&>-9tl5s`+EUET_w|E&}J`tes!kgZ*EA} zB?aRA@=7lJ@4E0>{U%{BZmQ#ZnAUiy%1osLuLKWwNN*k`mBu}LP-7{FN3%8w%TS6d zorPD6xWudUZ}6XFu*&ziK<`{Ma zsxcAOxIXrY&6V(J2nREZrJ{G|=vzJN!(m_`aN!rfc^JPSmpd!?{rc|c2OeOW-3gcD z{CL7(26p75(w9@$zvv=(B#Eq?`lV2DWAUf?RnCZAz}D4Sk2wAX_3)$>rFVlRR>9pn5lM|4LUmOllN?0eZ$#otjM+2MYyB0 z4LxA4iY$h(RYhwr|X>(`VY9@@Ojh)`=PbYw}DmA&Ql|zNI z`HE?7^`qamUq37_?dMINY+rXn!SYHm0c@3`V+a(hF4g;uB3TiOhLawC`snkvJsRY< zklhrMq^5|W`Z`;Xpvu1Ey?2RPjE%C2T21x^dy&s#Dz&NWbl<`8xLmnuW(dV|HQf1m z*==j0PgmAyKx)*-U~+-@tV4?PZ{v#N=Sr*1v9K+U6mf74ce)qf45*Ka7PwkwJiJ4- zPCK*oSC5TF{5eXR<_j^zQ4pWpcZ4ZahDgh3KVgGS4#=XBn%{4RnXYIYHF*K+S0QJd z<51ETduLI$ZO!17a*1dnADT;;-+ks?Zpvks7&l>>a1BVCAQ%d?^6Z_lv_CQ=CDDYh?M(nP>q-HvBw==-yc+p_}fx=fcCgEfryE9uK zB0x0!6OPO?Hj_EodtnAUg%{JWGWlpoaK{gHC_Qds_jXuH`YLVBaAa-{BkHzkXFQGY zXOhGtuapSh9&_$!^=X;WWlLos)Nj zAs*(Y@prdZE9#+P`G*%iMo~>UcTE^kk)fr*VqXP$Jfn(9#2%7?@F6T;f&-5WIU0y% z8#hZ@lqz5{##B;Da7Y4yhzEdcH(Uy8k#D+9sIiTQIZ>=*w)Rvyq~$qxijCXgt!~}B z`8qhmm0iwIpKbU$X97y0_JTj9a4U*!{K3vqN0AFW(h!qF6~mhe@y9Ae%kJ?uWrLm) z3gWQr!vX-~0VdsalE;ck6G->uNV(*ov=OqMihr7#B6mk_92^gK9PRD#-^rqy!fX6{ zlZbtP=}H8H{5_lQz#qakugp*uh)IAvbrAexYp^&%fb4VpY#|1WfevGU*r2wD078lV z?%QS4|c$@hW*8T&7uMGVz)#EnYp-Ce{ z#W%Z4b#bkw%R&JX@|!G=QyVL=@flC%8Hsf_=yoEY`A#|5VVTpaE6qK|5Iz-+&|$fG zYdK>eW{pm??j+jNe^vr~kBXL2y5@S__X+D->Z&39>>wLf#vQy3znJU{O~oqxu7lF} zRy59zs5(bZZw%(pCxwNzmH|-`?pv;}`|{M+=b1MEe(mmJo6eU<2_`VHSibJ>0XYK@ z%5fU7GJ+zTa^{=hMjBh-`;oiL_NAr2deeU5iSkyE-c{^D2dkQj|6@(G)+)ycdhz;P z0?h?1XI27tYlz9KjVI+SaK-%BdV1gcmq)p`2<*dPrkEV|&*{|KI&-DtOY_>Q@NU!_ z^8_+3YWNeO#ejRIV@~?3ZDeF{EyJl*O}bb3b8mwDoXT~164ahC`$s%A`ThQ6lLzmUZFv%k#5o|9HjwMh39|S1X+vuOr zq9;zPbRfGgsHorLB}^5q6nFi_zc++e%Ug%+=Gzk71G%gzk(fHA|_uVGzN=WD;`9a2{*N|!YeNihDZ&_@1blkL@A(PoN9 z_w$JSm;C1oXzrZPdp#g?3%JQ!-AhZzpf0;bwIV5cLYCloJTWUvSH48KBQy@{H|=Bl z$hY_H#6Q%>-PE6BP0#s1kNC{hxb=+Mm_x@zudOZbeF5h@cnqElS7v*}L$-tl2{pk! zZ}|-UH&`C3(tSFWt+sFJ%(~{_=QHY^$Px(!Cj~zqe@S?ePuNgOc%~}1R#a!>rl_}0 z#jVm+%sDG-Q=xyJ@aEu^1jRMgOn=I^=iZK0emC85JU{S6=H&nw4%AL5wfT7ah{Rt5yA#FGX<8UCb8?o z5War3gCfV4!G~1?s`ob?!+0UWS{4G<5nn`y2K2^v9TRRj(O-P@tj_-VZm{`=jKY_9 zhy+B1*zeo7|Dj;3O5cIdVvhsA7Is3czKHjg?>n-M^K_2-MaDe!j8pZ8-aThdO@o*x z%APM0E`UZ}`vOYA!WY;6eoq0{Vt@X;DR&|aXcHf?_!_Nj>&_zXX_U|YU}5m8aB6L5 z=TD{>;c9K_^k_amCqJgdtEdl7V!Td+lS4r`<~2#7BHJ6GOhwe_8~JU0d|#bw3TDg( z0z2a$=Osw0|Fd8nT)25b#8c;JCYnp>}`W^FP}6=TeAaqdZb2 zl%Hj5WL1E$`met_FVit!{-XSX4FWj7d$5^xrqy+~Hv~_tqth=bh1V44N^U=u>o=9l z&sDYq%sf^p+ce7U$#cQ|qqkQJa5wjk_ZT`JO@C@$hwqr`DuKnDS5Y}Jj!mGNaf<2r zo$?7B*TZLOy98_Bw>4{juEPCnJ`n2b)tha@3R4qVSFVW6YqVgI_1MWtYp7(NLP2yf zcDZ_U?qtXv+_)?wZoYcc0Oh`&bn1>4Yl$rGIPZH9ypnP%p`meQ zb3h(QhWZkR#KjdAe;D|_-TVk$EVDmBjH-3-1B^iiHE^TogVw>kY>;|q!4`SvY@(-DBU zsliM2UiM}i5bh1(l^X-9K*(?I_xD3Ri1DBab;GYu{yn&TXMVE3>zLw_#wZ>g-dSFy zcJWPn&{3zj%D^`m4o*iWJ8fw(79PMAL#c6W0~L|q_h=o2+i12dn}HyPetZfIeGKJN z@;GB@q#-HaTV`wF#Sz4p;B?2Heq}*s0{!fs#u6>?ZOo`K!9&zBCL{ZeAF^sJEua3t zuBd|Hf+yyGPH~i8)GYSMV-|daE&da%wxSM;4HHl zBQj-A{BnJWSim_u^0_w#+)%I^Vib%kdu!S|pI&KI5SQ+)P#e2#&ll$cyKVi4;%iEDSaXFY!@j@uQvJspdISS=)1 z5Z7{J-F7xJVLFi)-*UrX$93qGpDC)M8oNyTq7bMz|-ENuD|_Pv!lF`tqZO?(t$0 z2Jp}UpokwWCI!aZ4S8kc)Z@k>2f;OPlBtGkPxY2A4MBpyPFIaBUUT*Q5aKpnt)4^K z)x>Vi&CWaH-4xV@lej;BNFJ1&1_ zO7<@xr-JI$Or@&>Yi%E|8!;ZL*J9z#PgcVUi*S^}%|9Ob@<1$mpCCP1`cawEHq1hS z{@%^FPFzI{=8pZ6M$L4QdUappiBqsBcz zZk%=|4?H1$c;=Jmz%>6Sg^lIYp&KC ziL8hXwye2Hg1MN1w_1w)74++IW7999!bE!s-9Mdpv45CKu6wzV%DMK{i@@HIL%H(G znxUS8Ssn#(@?`T7*R^UNCo#oD07T~j8*1?ahS=&J^WREGKu!=w?7ZPDSu-{1n&#&h zNh&OIzqq%V$Bd9BemjlV&-(<&gRHxiw{zYl1jlr_R`~UbQr*;;r8QMVQ<3q;H({hW zocAFlpqD&qZ$RU2+!=%R&JRs1w|8)mBv1T96j{@s&eP$3SvdXgX9-7;xn@>o58l{b zASzF!!YU`6t+KKv%`J`cNg(?@dui(s*|U*Pf9eMwf+L0g`(9^qlaEV^@3^*G4KbBU zekn2WxoXM6AyuumB)c)9+-@v>xgv)V0C}o87kpj?6`UJ3)R;UfN0ltWJkGBvmuz#2 zXY=tdfI}ATKySEJ;rL{yb^IWnU7(c>s-|~_!g_Fpe<85>&ybC*P$8h z9SZ<9qKN7}$OiQG>tApXIAj9{b_Qxp)1wNpI}Hm+Fy(#wDSX(KtGCEN*~E{+osM7@B}gkGD8VY0Knp)mB%mgdV}#w%+yJ z*nW9iY8s|FF!u(Us?g^;m>rl=K|}Xq3j&ezZ~I3@{AX&XR^?jv4Z$1vkl1PvnD5=~ zgctO$GnaI?Hs~ExY}-no6;r)Ov^W|}TzoD`&cv%=c6T+0KVi&V$`wcr-&+gOV3x>VZ&Pk4^hxp$=dHWm4m_SkT&p4}~BuFT|F zBZ<6xuddH4X9RT8esl2HwA0~y8Uzwy2LNFiaJcx02P$1V6A| zYd?klyht%qN>&P=oHAlZH?CHGSosP1KQMy2cJl!vmEB~6tqnjEaj-^Ko?2FAKy4H0 zgpmx^>}auJwNcFJlX!Kk&GORUX+HO<0jspn*TF(PJzY7P zKb9-9^zzxzV#UAL1UWB-UDspakEuu5FlTWwtBOclv-6;Fn!NeRb$Dv^*_ptYS+y<( znx%oq`EAQRF9dViUuQWD7xe0!p5q~8`hV$IsM*qg{Zpy52gCR4+==`=6PS1A>d^>6 zJKRdhL#_Aa5$7Mj(8Sqt6IM_nT4gc)8!(}e`$lu+yuqN+p1({6 z-O1>WW+Otdc%r|hdUS!BBb&opBm%RkXlRiIF$|y&4}*MorV18sUFqQi!PU| zhiaix!-zm|ka^>md3>qJ`{`3=K#OgO=KMzV`z5Diw@bon|7#zCxf-J`h)!zuuugNI zTghB>WI|A^hFOj%-f%`ZFV(ry@}u_*sO8MBwE!iwT+=Z86}FZ-pgR}nC)4?%C$>pG zx_rADpaT#-zQiXA0i$GH`16_=% z@bUW4Lb)ib3ICeqxM`GaiatYQ@qvu26BS2XI!nnhPuVW2vwoB24Pw~3)!G}D+jPI= z(FtSp1OyP^djalFZ>i-6Wv%i)`AbkypIj$gM{QKlh3_Z|fze-)a=5a6|F4n&vF@6& z!MC#5<|*|#%FPxNZ*li{k8n`f6Fz0RHHt%0x_+ejt%swei^joW#QjwDuz2Ua?73sM zRYi4{7`6?*p>>I$Zn~#3f&BzUrZ(mK8ykUzL^8g(oWJAhdO%Rbx*3p6;2!e{=%sXp zED8@Larb~O1~5>TwV8m>voQEghd*+6|F}1P<0Ty^zyNN2t+uBn_zwpYMkUJuTH7Vu zfNUJiwjrB(YKmySLoTyl96p$-PUH!{ApVd>>TzEks{U|`X7wohmF%Hp(S_Z8jhN8m z7F&(OVZ(R3yUeYJX35!sCHB*&Yv)tUu9S`oTzcE1(L`W=4{_FKD=DEdoo|UEOC{(g zBYX^x%@v)vR;?cF8w=u|e@YYAJml+_k(Ob1+d|}SbchObWh4P8-c`-?WKz4QARjCq z_rH#N6~A@j2%sZALY4Wef8a-pq7sGS1|=k7Kd7@D`muE>fb0N#%U{iD#=K-oA0Kl4 z=<^8b&&#)ZF3t}ZgVFmjFsV=qWD<=^n}x2k`+fXgK-ObEqKG(7BZ z+K>_|F2Y+8fJDA#zO>=3#OQPvIt_!xvte|Lgf+1AaL4X;K$rgUrh_dMpErU~{;78} zp!cU9%)1CFDpk60;OTs}@^H13ZqWMZdi7vT+H`^kJi*k~1QyMliIk%X?Eg}MVKgrX zYIis_-&zbMb>+S5u(Y)t*-<6LNd5IEQg1o>Mvdn`y5Yj;sMn?0F^UER@WcTv&M~}? zbAG}xpi(L)w%!8Jxga3^_aDMCBpi@J&e;_$fez+Z=^_+z1Tg=q+4>B&$_vlGXx)tF z=and+YQ`uCD6fVb)(?%oN6J3b3MyaT7>LsmzJAysJQ z(u1?z?pQvNo6A*}LiiD=TpC`MDm5nuW)auh*;r5|AHB0vs2UXT0eHgQTX=jgcenSw zLkAx|mLA(h@;0Sp>phO#f?jLBzx`jpr#l+9@53RTasDOB$Oua6=sFR}n=}TdaBLQ1 z)AV6b(Y9fMiJg5~&r<}gbVOYXdN}yX!jeEz#(7$<+JM)_3y%UBD!MY7&*xNV9|i(q z!}s|&QtFY@|LCOumQ0}n?>~|$A@Pt8`!6;OXx@KMg{TGtIKSqHZWEtW_O^jq^&U`O zqPJYM5}4~ZR_BBZw&{zNsBfugZx=l4A-te{i~rGL!^z?qiLYOHYtLx;HG3Qt6;q?n z_4WJ1347b#<=kYmQT898zXNR9|Ee-t!Gt6v?RS8z5R{+lJyP!K!Bi`Yfree_dLP@q zhB(>3fbhnN0jsLVW3^i5@%R6^^S~YqSi@SRg*d1QuZ2kiTc^4oO;ES|lS346bHe;A zoE@)i5iIW~_?=SRKALkq)b0W#OmY~JH{as-l_=hm3u_dso=u#bXkC3LMzbfvhvB4r z(_IUhT!QtL2c2S~BI1P(m0<^*uFSTY?pUl?Ef_4?_*#@3l4xV8wl_bcIqfgb%0kZ8 z)^^uH3t4niUTD1yt&D)~sK&BJy)(Ken69*4g;J!3>$$S>LB3c~eFuoVUCC8UcwpCY zOxIT~Q&&9IC9=kIKCLtKbK9Tyev*NKp}N+6cRb*nTAVmFzFn>kva++j(*5ZY4O*M0 z4C6eC|CUEDm(ZfQWO;xOFYS6JFE4UV`5$+SqTJ_Fqr|H8zFdl~1eSTpD{%eyO66NQ z^m=rXm+Pwof4r#Buu-;qbP=#mDI?|gsj41UPg4^)EwjnSU`@RYTs_MdF3$o$>hA2MRKsu^)d2 zvJ;}1!zUq{`lZTj^GnAw%Z?N&K&WCvOAMos5Ti!n?5;V}vZYMrYik7l;Wzf`MECZj zLp4y+9sD;TfMNL~^#Y{iN={5+t+d3E1+t^SCwXe-wkt{Ip?-ljJw9W3#&WvLuBb%5 z@yXc7{&-OkT;NbAJAe=GVN&-dL7l2Bbgck6no+6_8tH|5J*1LPM0fy9A)dk^W_N6? zOf3WAGB_?@e^^SkRmAWX!L3Aq{)I(^c(VS+>grJT94NF!#m6WPPpdttXG?caI>%wH zpsOw=L^T+S?4kN@$E8e9j1|4@(PF_U>Y79f{Ux3Vc&w1GYwD+QMz1Nkb zcbN>SN~aiF&=H$A%Y!G;+Zc1R!lJSNeGnh%aZL5kdPYkq{j;6}3p&*Qm!8WO-5UJ; ztmTyc3d{Xhl^Rk%_=d4&(_`8SQ9QFC1y)A&qmWS3y~8oL2Yi5pLAi--@=Z>G7&WGR zc!9=VMOhq^pSuS#Fwy~qcU9k_%fes{s_+7zYvrbIw<7tn0n>} z&~z3!rLrh&oPb0L1BKarw6S@+`u&}k?m*V6+%)BCq$PpeU3b55nvLDZi)MEUQF8IB zn=plAIc;BD3R)f}p>sZbITcbMk*G`~y07YOlx%VWXbj-KlD(l7Hw1lG%}z?>Ls7Oo z1du#DK$EL>==G?vaJ4@k-0<-u8#{Z&<96t|QxTaRKR=t}&a2~QUQo~c?+Tm1hV+lh zpFtV~yNu_>fY0wqi5uIAfRZF#xY(p{ya)|f~L4lA^(-7mP3 zvDNIs`-%G6hhVXBti{X(jJfOwsV3AkqJLJ5kSYN@;-ht1&jC-5$Eu*n{2=b6IR@0Jj878?7j zR9>N?*E*U3x9NXvltEpvV3cCNR6ch7?K3j-1uaEJ3y=qH0hSpWF=wJp-Q8NG>cc)e zX&6RTsrj~GH5@7{9~jS(;U*?@0SRrQ@W}IypQva7H(OYtoHF^w`Ft^g4XoHbPYXSg z+u8P;RKR5MxAOLQ^}c^(i~X~X#I58^=l2DLvnI?!^~B@>D#tYMuu+D0pIUF@0L9$3 zj2Z{tMC37Lt*0uZcViU=RLV-yJ`P;VwOX4r93c#Kfqo``+BOHcv|xt`47u z=5K1j|54$7W>|iL1vEFhW}8rJBq3s_AJGEy<>^8yBH&^hi2>;aa25rHGEGLR9U`D zg^L;lgoE^9^(X2`lfT05SW<+5U-2)=s@ODr2As1}TN|SVzu%ad)Srmj9HSCmwlG|vbT|v{x>-w0M3pY|NLMEQV z?#j|ZFh=d$1KntOfIf>aADN%e{ zkEvTQV@+;~kk1GEWsfJYy4@BX7t=zIZu^+BX`Im$P?8b3G#nFobcn!>Ij;XO(q*Hp zLsp(s53Ca4fijlZts3~raNdkF{K1xh-$$*XQkUz$YxqQ8#BS6mAJ&<$RfUh6&}r_J zg7%$+T#7s`%-{wz>VXUHJ4&nZ#}_PJS`CK;`u<*SiW&^>u~^f$@CCA(x726Ehey2D zl(1ZpGTdRNQgKmX3=8v6-N&#(lA|YCQJh@upceXfF?m3j;aq6c0MdKTbfnBZo_*p} zbrN)QnEX`=QMd5|%BcJ$6D74mb`JPXIx2VXZ>UH~-oUWBPy(sf6mL2J1Qvv18^Qdw zg+W9P_a#BMAf7oo`pr4mnrk`HvMqBD(8!~m`y~WaD!i+mKhkqE%di0SSTq-C>MY; zpss&MVpR#fl0%2Il>9(65uYoGAu7+oR_pX5Emuj|_K^w{zE?978kR37;tB-brL|TQ z2g%Ld$F3>iCk79wk?EQp4<%R6l$0pq z=2^>n&#uq$L4e-$>8gld~LPbX3K`1r?q4@OaV9~)*W^*3?#A3|$_^V1<$QXt)1wTTC9?{Q= z7qg#EbOM5&^-%`B`IY_iQ`*mG6|x9?5!?vm6<^arYO3BVH(aF%E%6E$G8-k<2#MRA zJ*Z+%XKxdeIYiyD4|8m@3ov&$i(#4a(@#@m7A`1S-%IVTK!|yNI6mk!cbuhTo5iA- zg^%Mr+e*;44&M0DN5l6VS4MORJ1A=PX#sKdP&<&BsA;5)AJRnE?W~~?*U?Vbji+B? z^gVAO?=RbG$HX&T%)U{lLAwo1%D&oKGu_Z?BDaFG*1+-CDHE`wuItXY>>JeGgqhJAp~OxLz#Cs8BwC={vqPWAZ2&1 zcS6Us*u^!a#J5%3VdpB@Zlo56-$kVmiXXM;B6L!db>hr@Zu7F zq)9$w$bV7)jrk5aq?|w-Jdx>oDJ7NQfB<8^iv+qEKkX8^@0j&g3|#msG$bqj<;AkU z1G8_vHu)LnXb9&Ba+zNYFb_s=&Y@tUt?cT0WqWgvmgiHK2pFtaqJ`7xDPV~=FO}Ti zjh{Pq%O39|*eGIk$8~@&nTTD;Gfq0uQiipDvw7X>E_T|KiY5&Sdgn-l&8s2N9-Yc> zTyiyCR^-5w;}K(HUkQ@Rz)EIo#$%f4H06CB(Znm}CqheDZL^ zrW*YBtLS&wj1<+b75N_IFS^1!(S2i-i~2A96lP)}8$E8(>S>qFOEkX&R43}^hUq5P ztP8`(5Kc}<{n_6A4%-sPP-N|c=T^z1!H0!;7tBFKQ4JHDSy{HG%j9Q@&=%taYgtX- zwYRDs*F^dLm>{52P%r~LMTBhB_2&y^>&Bmy8;sr217@RIX^C0|^fZ*#=7M+X#j|)> zOV!_UyvV@OY0imXO|&3lqDSf1F!a)rVDC^R{bnfuw}cebnT3C4c^i6Zn6YYY)vb&| zKV6W!zmQi@{7vAWBk=UE1(~mph*tBdzxzbT^9OzSj(zeo%NX_V@I9kO*B>M!du+w& znk90jR6Rk$?`PO@NSf4yA!%a#CdAwCwGIi(Um*y!Rna7H*K{iGyQyg*@28e;(b*I` zUy!gC;E<^@w&UtEymn1htyvY4H@)vFehKH7U*-?m5+``{?;QtgJSA zbtPF=^kB#Dc`Zo8X?Y)pw%(o7gR&rMf7*@x#=?jTkH;>OlEV>wZQ7l19?C&*pU;BlBv;O)4^G4=j(X0AOp8s zJiC71K?RdHDhGCv{L48Q!Pxni&EWR(Nf`w(9qYUBrAF#!njJM zqAq@|Q+#FT%Uml>PPbiP;lkp8yXwzJlw>m$`?iT%@<(LUXlc+sGA z3HJ4E6QLi&lwT!(P;ju6e|xh%wvCmwg`qPWC}>&3(pAqc(b0XMT1Ynacv{z|BSMTy zK2gN~KK@pMWcvKCO(0h?^~sg_{LHql+^tQQ9(uZBiGZy$Y*LXZ z{SmMC;Qmlo+vJq!q4oP1qg7Mbz!%062;8KR?*H)uIG|a>rnR5p5~~Y_;S0*kvvh~J z3++fU)fhqKiOFK+J>6T1>9l8pjcXqifHT?DbWgsd&}L1Su0*vF83t6ZbS|)$?w><` za4MF{9jj{_t!J6oaK^X|JF{!9-#F^N&r=st!qzGFk29GZw>Jlf0W_yd0LRYbUl+*X z0(eNit&PkX(v-+$7=O_v$-OvFoqh@LO)q+M2W@6L|2wq32g?x?`V^aYqk8P>zkT;mh+o7YM&NoMS*%ja54O&A+FQqO;< zhWHiNBPMoN6`jv&yPIb#7(Kp=&yQr|EG2=3QEpWE*s2(2&|2@cYNlG|KEdlt%TxHu z|0qZMV4S%zabR!?Q7vJ1buE*MOPKNtWA0eH+9w6=<>D~|hblAjmMHT4Ti1)}0N1yA zl2JD%(;oi*;RNYY9e!9$mN4HDU8D|KVCvl0Ntd2>WWdNh{9RzQu(9hJ!GzP9tRN|? zl;IYf5GZ89A1O3IFHb&XGT{A=U|@oySns9U4rny@X4{7b=(?u8dl->e04Hahyh*i z-XTOnWK((f1u@LE@{Mbvfx}I&`ets5(9=N!-1Qjz^tgIXJR4`HKW*(V_J_MZax}y6 zik&>CEz7wrGPpWo!>h{eGgByi3ia~#2hFjy7UD)Nt*twcxLdWxLFZa42*yw<_v`#B zdy($@DmTnep9s?wh6&JXXqD?=f-z|R6pkCLj;!ibbFjSj20KEzK{-7(_W96vea-eu z7p&Q-mtuI-mK*96m;PC4F@@-G+)lqq_tOiYH>HueVWdeyO*I(LZ4bZ>%DkkU4mhWY zX5D3Ftl?^l{&=Hl(R&HtF`hvY%L)ur)O=0LWWvi)Y2n_moRLKeJ8tVTV+g9Yv2;w zX?!Fla4Sl9%h<@=UL9w8&=@1_e$ka@j|3B~PA{#m3a)4BbLm`CBzgcvo=LqyP&U>d>VDD+QkuFlEkZrs^}_d`;dZW)=b z1i@07a~-DsaeesB*N8a6_pf0L$47AX1#e{QoCVWm`AQ`Dl*B@soAAo)vsjnd-v;is z`oNN#g}8I&v4e;|v06%2Kse=5`|jrD%es@E&s7%la4;vk{>M6herdhpal>dmM6HUyq`r-ZMMf}RZFHkP?l*JHDg`Chlc}(54YayG!+tfJ^R2RG+wJ!!hf6J=)L|l@% z<%SVs`F_9AEjtRA$GxN;BO^aao(!_Qx9L^uoZpJD_R_<^_NuDq&_}gyE-pjwdEwc{ z&eQ@yyhKW2qd|~|@0C)5Ft`Q@rEP*EeyRCPnNMvVtIV_-`A&-;9)v*yKlsuO^uMe7 z#-ZOY_hKujYaglc-`yE0gsRUEj6S=|<@Sv`eJd=z4%^pEzZD^;*FF{Zw;t; zfMNygCCZ>ty^$vX!hx1zorQLjDB1SYq*D5TJl)E>d^Nn`q zHnHz5`Y0VA>%AIo)=hTWyZS*3I4~;6Rs<*ai-{hsR^!w+mS7~>u7OHCy!mB1@dX8jq zWo@B%3{MJg(l-@d`F7w<;mw!WbpZTTGFKwES(3BvLo<~#!?A=J&WP|XJ^{t$4R(_n z)rIwF3fKaL>xLx!!x)#wwVcXw_(7G`pOXq5X#}uwZP08-S8ZOOf1`j+U{{Lf#mrzp z720LQ?@QTF8|tWfc5lrsl>JNLJ84Xsx8Pz5zWD9>;pDUZ*7*RpudOuYFb zH@Syc%+_pR)RE=ZK`PdDI~b=v`%jFtvTy&p!WhSGKtLeC-Pt#cQONyx(Q5G}T{6$K zl@L47W}Ei+u?rrqzxo6GM|P5zQQhI*&CU2>scgRKw4q&?lsp|O7EL*cv|sqUy1Kxa z3c{4#nXh^p1M6djc}aLCHANMv7L-Xm?pQEy-`&6z&*c#$c7|Rk=lj{~8!C1YlkcZD z=#<11(6Ac+JBa?c13}c!ED!qMW8mm@dT(Y%gC|b9Uez5?FE6bBsZ9on(j$dw|KT>6 zy$E~Da*=*o_+KY2-QSy?3-8>eEk&IS(sdxtN27m)EZ9R@6Sq{Yl|AosLRSo-4I%2r%jF7;SJ3REM1z6hJzjbaW;5S8 zSo~>gsp3Fpq8(t)=qq>q)j~JjJ3{X-q_JmGVw6~79UFC{Jkmc8YZd=Z zk^(ln;>?V1_prEmJ0$vn`w(aL&zx#O^}6&Sv!zvAn%9HX#>{JC60(l!ue%UQccg{j z?ogZzk7XVh&w3m69^6WU-x3?ozeq{Z1HC*VK3*vo3&_}~kW#Om_ao_`lPwI`Jale- zx=B0`_{*0MVW9Ro<7{bTjC9!+WYchcS-G%> zj6rs;WLgnLN-xetK!BLEX!?f+_*ab1%?CHFl8AI2KAM;AlFY+Pb9@_22VR7|38g|32YH2wED&`i>yLW-F z_nF7Qzoa%5d7y7acPFkRi}r$jx=Ku;zF$N+KtQt>GTb)W2J3S95)58FzCrr3OY9L( zJ5}^e=6Fi6!4*9yI2hUi)O7Zmy20U4x^P%jMC57OBNrBCU~oXw*jRZr6)>3H;coR~ zje8`huR%-Sf(HX_ZRtX`CzI{r)(rkw0=Bzt_M&@Jde9L4PoOIp(Dq-y3LFHi3;=@* zO%`Ec99hdcHF?Qmrpco{Wiy(G2dE=E=8E?IcA@&BqQa0)x>^SEy#^2?@~P>-R2R;? zd+Qktm9F%_&XnXK%O@Kfn>~=$b^DM!50_zsl{RtYArPWu( zUOUjKIl9$hwvV=etL6omUneGx;-Yo86$-My*#3y*sOOX-BGo+- zKSVpnHd7VuSjFSH-oZ-LmR{P)vDzphYAAQL%371& zD`_~^Bgu-aj7deBo0rb9!Cr*ZQ_5dG@&PV44`L@LHa< z80Fn=(9IVR+PaZU`meZy!n}aFJ3xz8KCU<12`?D8mTzTiE^Ta`#bgSR%v&O}t_~|F zCtGB3xgIkppcj6#^z_o$3yy|{&HYT)cN+Fj(6GXKW>@O!!QafCQ87DoFosn0zRpgi z+C!r>WpSSi)JzKoYgrihFE+aK@n1D?D|`NkJ(nv@1`xCY?f+ryEuga6y0B3UY$@q( zkOm29326kBk`C!^q@|Gt>FzG+c7y^&5IjP{5BL! z3!iLWxcchGT+{V#?Tsr-X?JQ!!M))txeI`C8~u3r!1VN;aL#HXDi(rpJFlgsw0vxW zTU`|dAv1`F@;*D}U^~3o>46&%k*$hk>qOE{Dh==Hj7WR@{0<2a`0eHpQh1VuuxTi+ zKZ5XL94~$pftjnw6SYaKulepMbz>0Zi%RR(&OPh8npdcyFVErJDjh#B6jdg+C%dB2 z*i8GvC3n9{7#QlnF&ZoMiHIN*3dWVGFNz381brt<9Q(~)1E04eEVz`lT|1E04>vJ6 zMNGklp}BZEieG7!1&4};rr8xR`TDYh9f%D_sGbY|#P-&@0(k9Wuu9_UD2ONg`wY7K)T^=po@X$)Tt2_H_5%q-8q4${i`si zT32fx+SMQ+9CR11{zCU&k8wiDr^zl3XL1=;XpI`@DdCG374rfTLPYI6+h02qW@MyO z8&g|k6rIT*z-X$fKjJjU*KKa3c(fvD3cXe|XvUpa9Q@YhtsoNI?~n19#y zO*I8B+DMkoxHha_cGR|jh7GQ_UhGvPtzfH+L;~gkJr7u69OnjkV5k8a+~W z7CU_82=kI{PjC9pcARjz5@^iLh2joskJWbvA0>>dbc}UBw$F=t_;p2$hW+M|d?xv8 z);!uR8ZlSz(}&D&8>7belop(ET?-1(8=f^hfzz=v}SR1y>y^LTLD!!BOBLhPT6d!IfMG_eEiMTl@TE}o1w4Y zvUqUGfj`SiQQXA_>Cct5#ao^;OaNl;z=3wqnUISokuDcRq*E%q1?YY1RgXaXjZHSw zrHjBgLv@l+5r&`VeA1Mtpv#gpm0S@q3Ch=s&GMo?9uVW<#tc3H?g|d>=_T9S4*H@+ zz^Fz~cMF7&g^Sq7mgyMsPgjcz3d+8iD)d<@{aSn>@yxV!b;*>!kdB`mdBT)VmGZRw1f{!hqv~QHYAR^MH8b=GqQTRChZBhJ z;XvE~5$^4P&4hex1wQ?zO`uSCK z@O|XTW~%uS_|O0zy1WbrXf^x{j0Jl|4%4=kW}tIvQ!H*i9@X+%6nBAfTn~}588W@Y zjF5M0KUw`j8@3GCZLBX@}F_iaWCfD*VEzx(%;IGVd8zP^*Z{W#?`>}B7oi@pS&2O3e$IaOF|mBwfr zJX^#66hYtrf&5BznFYulFK)u!m)Yu2{!zPx6PhX~uSey4yy`luB$w}3{((gGGE2th zF%wRUpJ$I%svQdYI*6AuwjG{>Z?kPXsvpMK>*!H}On_Il#MeWa81qt=mfK?^rPJh2 zLZEPi-{>r(U`_DyeMIIXaa}!Iw}`K}IuUI?58+xxwF*uzC({tfVwtQ7flX6%@~ysx z_Sa5M0Sl(9q&OlF8kgvLVsO}-UnQ3Ltg+>qfpt1#D2JQ$vb0vS!aHyKda!MR^HF@(+^nDq6+1&2{4;>AXlK_J0*(T9YR`}xjgyqXSya6Wg;~X?ahzxe3DrMZi zeB?L0T_69)d)D6@hnfyfsipfM*%JMo`dOBm*+UE?x^k(hrbC=jJGsCYJQCDz zOjB@g$BSMjo?7u6sxjU*BVAtG6pcQxq73Rc%-R<#rg@qxTkrRstSmxoWSvTjD2Dsv z7}5Xog{hOu(b-$Wt!ZUa|NIH-Q2oI8t0 zINO7QpSs)DYw*KFNV6Bq1&-C^Ot2)O-zDYMBUa$1xdcfcc)QTOYIhL9_%`5-^MqmR z#NoXy^6HL%;~AU+*Y29^+A@~Wj^&I<1ZJ0y?A?MOkMB-UZ_JC*slLGP%cv2Q#TF9c z_O;(u4dT4VMEYJfPw{FYqlUQ~s2biXMqIRqT$XCRR>$5vmz+Kt1jmUor9KDCU5K^# z{8h~T`oau09!C!4WbGHq6R~j%(+x}JXKGYJbA2<1iJL4W1hWDVKL~|=T|WKenGR= z*@X_e``s1h7nHSQm5=;E%{tT7i@8ap`s3xdmN6weZB#A&qFZY+WP{ISASBY>x$!;N z-v9Vkn%}Sbl4PKH62hv ztckA2Mz_9g*A(J>{$50<1X_E zkat|Mn_uplE~4|w`?>hTo#pRO3^q^RMR|;rpqBl8*OZ?QZowcpme$T06cd^Gar3_kHpISpsdSbwdlqKkYJ)GGw?HdIzw!HG06>fyp+e=D@5 zUszHSfrJi|XY0xa7lW!rDT@Fg)T_=Y^SET-k_8J}>y=-cSH2RM_GYC9Xh@@VnVsIVs#5BRlG!7~T6@Y;46)a}bNdl12lwvd@fHvJYGYq7>5Ke9~f_ zDl;IlrcA#FO98GVx%ws9ZZ*dMq~|ONvU?2LC-EH4eV}C^qdrumirEmsalBoBq>fA% zvd{V#*8}5F;}whuQNWd+ajE4eqZn&<6(V1;Au-+$s$cguu(E;Albn4LR9p zBr>2o2Eob})l?Wpcn}4S#G#U$D)|?TKX39e`=Z+IU4~hm%PF2gz+sI4qzFMOUw*~r zVPXJ_ooVLzSAupW^xO@*9EsJqxVSXsak|%Os~wD_W<1lFWR_%r2klsNGZVBuFZ}Jj)+0u%`X<( zLfV7P@Su-POJ=V!qxla8aGW9yNZDx;jWaqypRVkFs0<8vy2&C(t6DJ7-F-(>^mBCa zHU7z*MEeTV*vVmw=vTtdpvLKZ{Z}o(;>V<8Kc0;gHPG~?PKMZnRBnXvIA1OnWz(Q`KR+d^nKBl@N=rq72T5K2d6#RO6D%!* zBBQS+l*g}4(-SefgeBVn3>?vRmA9HIJe?;PKt*}XU}g8(eOHf=`6VK+T0qB1o}YbY zP65=k>(&263^&^^q! za{2I*T@!F6KN7iAw2sZ`d*-YN4n2q&c_~rg1~OAv#)1zRCwA+o9L+M5m81I1t*r8H z+DM-SYcCg{m7-NSY;%};&lDc+|0{i`?4UE7MNl7nN5Gp1ByX-NZsCLian;uPi7d1r z@}aVKLFtFbTc5OIUQ&2HVy3QB8v|XR(H01RQ-$cEJR3ydTpjD}t7k5?$Bi1CNADjq zn|6a7tlMfe^#gV{$FPrpc66)X| z4poPMsA-v(P+lB5#*4asX4SKC4jIy+HLdy9sDxbG@*_fpd!`T=p;$S@6w`(t`!UcT{hXYMC zhznk`GlJ+CHIj00q~sv47jQ^|TUn|s7d^T`=o7r#FI&?w2#LuE&@mp|14Du&ioSk=pVn z9=Wf_u~ZMmvBn@jJwS*k07B>|VyJtzC7w~G8PG!G5j}2ZqZ6Fyi;X-058bj#z4~~i zFqloc^<$0Pbb&yoi^%zjLbZm{MfrXB1=G<$yL(I~dxrXkGYYjmJJtzSckt=c?bu8w z|8mJ)fppos^Xd|Yn6h|7e5h}?;!0(O(} zOQ6%{HfnJE;RhkH3eR{IsH>)8CM&=i1ny`czXT^GsV49x?CDwW*lv(!XHkj{V=SOM`!n3)$$$VSfYPN z?b92?p!{%O5y8j;#V;XMxLegRG}e?h#H|xHY3mGaF6yc4_GD0nR8IY=xKJTOv_X9P6Av7XVlmu1IyyyUW6b`Us_+nhQ0`E&&hHdB zcly5!TxzKEb)Ki|HRt13c0S8XE%{WHqk2uJ!xl_5Xqye!2uv|kUWC56I);W{%kva8 zm(ISTS%72nSe+UkXJ%#s{Rw$97@DF1k+;hCG3;w?y{}%R>hmJy<)iwf!o&XI2dlBR zG`wi{9ECB!RNg?PeSOQiKyU3=x_ylY3$H=dE${O4>$Ln~BimK^@3JSD2~-V&34vTP)su=EQEWOKI^t?MQca9bKCbOqMR z&S>E>zSVq)jHX+dM?161P;-$_2zcyYZ+jhHbiRD4czAAEwr@sjEh5`rqL#-#CQv>M znwAIPa6Yi|a5vv`mDgXAc2$_yEHn^a2>i5l!}-|pWa~>rM8v=%60*VUQk!@&n>pLu z)%G3M;A1{#2$B17tS#^>aShyXJ^97<`zR1+y6H_8J!o~i1xas-(+F<2@OCk;vXytD zk=ADafzwCuzZU)qihz`)bd#Q0*OByjG8wA8oAo)@TW6;dLo{1SLod_B6Q$?hTB)<7 zgBF$fHCKmF*ZS1m0s{m4c&&P(8AC8Iv`+hytZzQb%EYPx7QRBVaQy%OIS+MXvJlrRbrVBGbB>|T8cJA$3?steOuBT}c4pk)LGNJXk zhU=KUZ#8fCVTJ|L1u%mo!Eyx;7X^*-C^8z=8dL$F=WPLvA}S7_FuPGgia|{j6zj!W+crL(W^4j}bM zlh)WuKmscTyiqC8t2t-BA79|fZ=DF%Ka)8Gf3e;jN~4juUg1%*x1fxq8Jth>7Zl`& zPLz znr`wfkQ`kj*Tnbp5ZA=ru1RyNr;ciK6MCY=GA8P^DK2=}Ftsbai1&oP%e#|Vd==^J z@Q>Rik}>sok@YT3G@RVw(im*STtR`O(`%tFcp&o&E9x*wa(Gf%sMgA9wbnROcSCpl zHUk{N4EHUv{{pCB)#Hzd*9zg}lIBYz2BcKRdrPa1z9O9%H0VS1jX0f{wX~?tNjL%9 zoVNT_1@q!|Agk9>WwE?>eLBA!XZ6^Axl#n|hMow1W$DF&U)WsyTiMo7V87L#sj_fy zYd)!|8qGSXA<{ZWs=ScpnMguo(}n_NerbBV{+Hll^Gq7V(@M)SGRW?pZna(6VQB2! zi1a*laQhj*!~rj{^gdNut2^WVv+I5Q8RfF}mAvtV-QA*b%&7_!|Kh#NAKlu^?*n+w z^clCdw~8IdrSzv-1%M6-xXxES25J1Wi;E|CV(|Intyw%H0vl(Sm&*qcM&@RN*aEI~ zKD1FN(y0q%HQqGrS(u0J_O~KqfLaXPY~{?`apU~8pS(Ur>SF0H25*2CF!J%lrGR?f%vTFBkcK+@lFA2 ztaESouC2|VwHE(G?b_c~w}4Hnk0MqB1PHLnlA`zxq<{rcZE(3ZKi^;; ztttAlluP}q2T?rzos)18Zj+;0QZb$0q=k^EC?C*LX7Nytnn;dnPlej?=*0F7AcOSv z^&a3@g~#HDJrmUQy9-zjkmqbU2Om=)^ftGA!+qww2=7#_`@9YUfe$PKy?gYbV{i>S z6IA-R?U|BqFqrrE8W)qf4NrvydEUSR)$LJ*VsN_VlglphHQt*AZl|LrN5gqn=nt7^ z&IZO2j6JTGlKD#V7fx9US^do^Egd1aICAysv#dh}TU)ry`zLKf8A+O;yCJ{N2eL6E z@3i`Hfl)tS-^QzID~p8%K4!a;CJl8?>%%giqCB+t{7(!~er5)o0uic|!cOwYrX6dr z&?d-B2OzSgS@>HY_^0Tg>6sW5$)t~Ijk#&F#ikZv=*GI+7us#)fz}705NZ)n z^s-mltq=H8?lT>TBSpjpZw6bLb8)=@^+*GtZF>IAhS4)T4p}HtUh7HCBE!*N7RZ3> ztp+TR1$V1Ix8pDa{1~Q^VI@N{4b;W*;paL-!^0&e)2v&UCWto|n|H;2*2Q*4pV^l; z79*1|>U5!&na(Of&EeoUZMPanay}qiZWBAzK|B#U^kvy%)Dv{58{U8fCFbP;WkG98 z=helcKa0`+x*ql3*}nE`4vr^yK|)}Ah`dllG}!1%;G6)RMG>~0!A_7%_==J5 zbVrr(AY(9^*&wVbzTemPNR%#Wd2g|0qTGri2#?$SsD~y+AeHJh`-Jv_l?Q|7k|5XZ z)gc2TWBeDRit*?EM3v*uk-L2~8Gpk3=_0T{?nHX<<0Se?DJD~;ExS<@rrY@^PoG+V zkx0qOi8}0Boc6- zG<6`P_z7#nUeRfhjGU~gNL9G*`b5R)ppydV0d@ZPM%INI;;4|4686p<#Q*5X8Wq)i zz2KsGYz*Dh)KnjwjstO$eS|FIoFPlKzqcsBWxof9g@pyUYknU=xb*igadC0M+4hg6 zq@-kM^14qPu1VYfl3;dHt0ItKLDEFhC~kk$aX4mw)D{KSL%ieKGPW2gS@n2!s|U^( zM@=AewSQ%G&kLc0vg|R`y{ydo2s-yGp-`~z7@WifAKV@|IMrX-XJI^B@j^H#sWBpN z9M)p`=LBUr*x56C9q^j;ZdxIZrvbL>biYekKovd5qi>J#?u1qx@66&Xw+FV2U==Ml z6J!n4ef*FjfC9O5eL=WtK?4q_Fm!MpXuP>DL-%=~}B4jKtQ2wU15TXfMT=MW- zZoNurA^PJ^CRr8Tq*iKj@&^f=cHU8XR#z2{6!C8ljL}jrHu@XrG=4_!Lx;2IZFlFM zgD%n5B7%Qh-c%v4Xi1eMW0{-$UQq14ro*3gI2P7dtODcujaA_BYJ+iMcUPFr_x-E5 zCzWH#_^DrPLjy0JYK`ZELR09R9vm#bCL<%`_jyZ-4f-TUvu@f*B(URv-q6At8ias{ z^g;k%SN*pS zxcf=xFC0&I+CX<~!cY-Uguveq0tp^eQn8HpFRhUTFHn$?znmYgEjNC-w`aKM7uw>J zDpi!YXEuvX*Y^$_3WLNUnCkG7ni?lqTiarJl@^!V;>kkX!XP_z%pW8vB)fXAqFA6Rmo)-e}g}*P6fY&in z-y$QuYwdQ4xw-M+;o*U~?B0imUz{k>K3k15)6mi)wtmfFwL8a6^YQzAb(eE8Y*u4R z>(|FY1qHM-GcyAehT9^bup&jR#& z|F?n>lXP$%`iT^ro!OtAoh^XwXic2EbtKlW9fk{(*(N3@7ome`u&DZvtKHvj^+l+I zcqGji2!va=Katj&(xF_d?Fsl0`WX=RfBsx30QTo!v$H7yaM1#uBAUm!2E5BGkRd1o z^z+A{=O+$*^sfa##!7ng4tCe$7vu{Yqj^{nRw!RC{n-j^YahXJ3C$-bkk#UJCqG9KGHpc4puo|vVz|P9JoLD^BxpbibKEb zR17uyJHZ6J?cm@wq6jfB1Yrh15A2_2I5{I?)c*h zc(mI?K@6D8`}glBe?DBDs5DC&SRA3w$;r_lOoa!Xa`Bwb7Jc}A1pb^|`xhW7vZdOYo=R==|)e|lJ0^vBg23;g)BtNIf_@8uPz{ zG{Oc^baCNva&lrY9HDeN9#sH_R)mIz*3{pR=zMw7mMIzc-$4RlgOnE4UpxUv&M8)z zrwpWwIO^)^oruXKL-F{=L{DKkfB+LPNWL{BVnk!kDvPe(rR!p2hE@jRd5{ zVGVVQq*c~B-I@K*x-GTA<~Ir&QW8dpF}mJ3r3f%$zRy8TayobnMC1Wh^6|gb+Yb}S zhlwBbblW>QX%8b4XE2-NN@-zy4a~y>IEElRPI7C?KV?JuuI^RR4@_FMI?SM;AbW5~ zk0(MKVS!@F-Hu>_4$vgg6T$0`74{YU3VZvQzpV~fN;IoU?7$*sKA*<}B3jz#QFN;A zg2c%GHXoEInAKs$>@RmLPn8?}wmQuGI5x9X(EVznR1Z-o0F&t7T1`p^td5DCh=@pk zzMk9V`dA?Vn?($2{%kIqQQQ1*RdS}@ISxYz=^qD&9Lfqj+>dB*q~3i$Kffx=l_yc& z{q%yjbO^i z=;#js?D@}K7JuCZovmeqgS94gZzp24u&~(M-){n2&EA-@*?&bNkSq&*}U0{ZI6frfm_Sd z58&CPld}VS%F9_`gp2V+@twiJL9`Q~giog{%`hmL{`8YffQ9xu zlrL2A1I_(FOIfY;p$u4CSkN@i3t^D5Czj{G(I#sn$p_-pXUh*e!{Hk;R(g`^z!1PqNVM#ti}bst6$si5rRTB zcXxNfsBZY6f!9BO{v>2&MF&<2P=^=TR>9-o2-(@O*xA|d3jZ5Nxrc)_M*`aQ;luEg zY2XS##t+ue7ewA93=GoA(AJ{t>_<3krh>znlKX?g1SwTjRZb`k0q=9b#5~_11Jv^S z3QbuAYW&F4+dDNoTSTW86nrEJx&WCmYBt}$llr0(^bWQE{8@9gCkC7@B`hlHH#IIw ziUR(AgPr4F@{s*Y9zak6IkNIK>QoWU!^1DSqv*%AW!sx(XYtgXkI^I~B{e}s_xdKN z1Vh5dFYNg7r<3>*0<*$Kptgd-!U{F>BO|Ew_4QTu`^4b%q}+}l0UhG>5KmxfEi*H? zOfeGMMq*-OU?DQs{{0x~zaGQwbSAxxatTKm-Z@aBEqrypmSk>YGivpzJ;QEy?zQ6y z4LFr=-MMGJG4gU^dU}(cYIy`aEuPmEpN@`> zfrUkG()IS{nu@^Z&7V@2^#($EKu1F(p|dmr*xEGVU?FK~Bmhg{zxKR7KR;gt%DA_; zCw;C8z7+}$2_cmJ^ymGbM8MAcY2n6EuU?S2DgR?>v33VSxt&k=4hyJn#-LMqlP6yw z>*CQR|DNzqDO|9@JZ2RDfT=*}SGRx-b^|Vqk4k4BJuEH`hfbx+&2+W~d@y*2()s8P zfEs@YK;%XIHVKn?N=gcx*zON?&|y$MUy;aMP_`ZHhr&U)O<)}Wg1ifQsdxUX_XS@;XRwnkXy`o!@!Easjexa8M}&UfTdu!Q zenC4vuS)<3}n?a){& z{<+i_s6RTLP*ikv$s_62g97KB{qwhQxn^7O@vxN}hdWUaBAG#=bcp#BOsI8@tn=JU{s1618IhvC-e(DFyfvHL~beG~s zFUTd_1eW(oO3>o zqa$l-oq5tNpWpoLIBnnIc3cGK3tB6#z|;=8MeY9AgW_T{?Eu4ZxVn;QhFNet zhOn@<`MFH{ZKd7(qFmJJZHGF=+Nbz{a8C&l!cRm$Lfn2x3pRbJr9|J<_eU=-FU*}U zlFvOJm%pBJnJsmqeQ!6A`sfLKeidd=ag-+w6QN`LPg3^fQ(;0B6cIvplEw2XI{KAY zJD1m;$Mt)`3Oko$>Nf}3I}NukW>NRy{=OFIJkR&)wziB_UDnBRU($~7>Sh>xxXZhF?sx|1*q1KGG4_jm_G|t zsF+bN)eWSJ;ZdzjdQs%qM*!VFU&M-gvdL^U`0mmhK=W7Ol}{UU zG#8t_E{wO8XyaZrXH|^3>YAib;l$ds`BDbg*`=ODOdn0PqZG`@rC`SiEI;rv*lE4t zpdgzm*tJzqQFObpP>rQiFO~IH9 zHpW`$={wJY$sB*Rxzw;&@?K1|0+CYDZo6-J*_ondbIcMi!e~rCS5k1-5la!=XbdM3 zeCPf?d*egkl8yCB7Ydooa@@kHb?31vBCq{0tTtCDilLe_K5suvVs-b|EUG58nw_d< z0sUWe>$s2QY%wk36*u`THSea1SmEgy+U7BikAb0sIFg#uc>YuMDVkDHwmHkvPP==O zzVV=zyrEdG;i5Oe;cCBQmLsZVall~R09z+#{7@mQ#-^}7o&G3>)cJcUzt!Aq+H)LM zeUM|okHh#idZQ%zWqZ>Kv=kc~`{*=EeJFmv1RwFh4nKRmXl}CLv6OSsq}le+l4Qn( zmU{VWeXVfBv90J30Z-rHEWwtE^ICnzq=WhAAcPUt^@>xMfsaxyMWRxA>vja6^6J++ zO6P-J`tg|9A`BH(%#B2-L>W_VV#Cl=uDXPDwu`K~Yq?*}7{kU?+Ux2z)YmuPRDt1( z`WdcSM>TilHFj+0)oY&cbaC(FVc+}yiLN{B!M%@vO@85>=ec>F6wkRJOSw%A9m!bQ zVPSvXAllOkLjkqGKC$nV;Nc$KR?M!SgCch+6$GrrH7->762{iX%IYg2Rcb~jvKvDU zW^yt%X@%HW8Fv=%IIwLd?_7-|7WCs?t4ZZ$S61d5N}0Is*c*QP7* zgH@7Sm;(#QW;pt%%^(@2ABb71)I-3GQJhyfoykSVgM)@HcOhBr?LxtQ|EL_o)@OuD zrE1FzrU%~C=%~RR+_=NJP(h7`Z(Rf`XK% zbXARMR{uC6W}u&=Y&c^ED(-9YV&X#;T6wnL6pyDn9~a!oBYhtDbWDyU^>}V|Xt|!? z=Wdo`pVYUefdf5W4`x&8=n8aYIhEn`o5+*JmBFrp-ivA1CmhanWK`KLAuN^6Ivm*W{U@qNkVQ<))Y_wZeabg=lu{oK94-U4%!=(W?F>vw}j}li&$Wfu!nF zis97Wu0-DY;kBzkZ-kN+{??ifk6ifUey zhW^LT&fm3Kl;m~R z^@10Xlas?w`faGmS;(s`1zQL{0p39h@U`8GwEYd8MWbF>Z!4-R3nn%~K{qg#&Gqt2 zPUoGP0L4ITq@f)LG1-u34_-EWFPVklkDfWf z+kXt~%n_)8kjGDR?V>xsUeW%ECeKBDN=XybIo8o<+Xxre#pJQg&k?N7B}G#tEF%+J z4x6?25_s4cJBKuXU}K;sKNdwV=+Bc;^O6+xsR*v*R8jh#A+a9`7q~HRAw88~H)wN& z<^15+^I--IwOXRRQ=`N03OTR|-BJ3kpb+FM|L(Jg+O*C=D zK-Ji&YGFGGQCYzd8G5IW=~rTL=(7wGK5Sg}%hUHRt`Bf$xyfYglA`SScb9$+>Vamk ze_w8#$g62m7uQ}MsQ8~o+>hIofSV6(B3I?65{e{DOS~{{XuivBS8>r98-|^tSM+We zB3{a}mM|MeDjp(=C`FK;vyN<%X!BatGT~?K>(Bps54s0Y-76bcj0-<8pFMy$Z6m2N z5_cJ~$g)kKnVN#;IOhaw`o}wB1r3e?;~VTUwprrJUpIbQi()-aVM=VQ-kSxRh;vzi zN+sPKiQTnLcuY*r$5P##y-+_>tOjc6tKHKW(%$YFlEd{65iv3A<=DU83eKTXOMW%2 zzl4R;X4{C9*;XU_=C!lAQKQoQ&k;SxJZ7%?>&eCXo}YRH(X9-@4gSk%{SK?Dzi+n= zU?6aQ7t)YK+(Qnqj-R11f~vVvdM?fu%oBvaPKgcqv~T+vN&$-Qi)x+9b}}`lm4~k! zQ6%}+CfBqWIAL`R#OIrA$Y%W5ge)f>b=)uy7D=e)W%>u=aJP^4%N#kTa%ZC z!vUd#HAZ5o&36MGfY#NR4kECt&J`m4nn@#DF%yB?SEJaYpL+09vihSzD0!9Ld;}Hd z0)EE5?`V@a-?uCakcys4;$?sIw}o~)k6zddSJM&TudGo0Hom%G1_GX@ zxNce5;cU;nHwob=g}f@?(g#Q?eyT+&rv+C;Z60n>O~xj0PI!Q56zw$!^CmHuIcEzas39_Y5*#98W&xV3zbTG`8ig;84doFqD&-&wusMd;OxM zBsLcRbMySv@CG*Cl!9(J*+BN-crw!)xVL7PN}IBEyW5shpHCr5vKLMLm2m&?kc0JR3b2@9bTIp z1=CCcJ8Z$+ha9l(`q#7CN*=@Xr*cN(p>p&ta@nO1eKy-)EtlDvmE)^M6vbP{-Pp=? z==ETXGaIz$P0Omy=f~)^{y_OO1WfD5pUrMP#s8sEU+azPjl7*mFyrQRoR4@IP#6xN zb(Os<-B6a(li1nCq0a`$*a=8eJ8A%FkiKm0xsCj#D{!REPG?mB9`2gG94$L~#C;rI zHnu4m`o#enuCh&C`I3xE1k65aus_+xPUi>8$k142!mBqg68na7XCq)6FkZgVn5z^{ zI%l6`2&pOylM)-GyRo)_(osLQXcPYp6YIXT@N zs>Cn&8-84WRC93PO+d$)S+~lfa_GH==rUm+t%-+EtJ0UUZk7jEu4*i+n<( z6SyYr%okWko23uSZa&*Pi9_veE$!prtcDiMY3F2fxigMU3YFa@E=E0X3S3WKiP*)* zB^O!cmb2F8sx~T(YK(^!=)fd^T__gTFqn+f-oB9+Z|Gc?#{Wv_t=+nEu)L|s*!;~0 z^Ev_`ATlanhTGRrmffSN4ep4VH4o#6akkCSbq^NiAbj{=uM+a;aB;ck#-(Ph?#o3I z%X!V&3awZ$qtScIs>}>weK94$&GVlIgSv8K)5l%oZ!Zdy-@(hVu6&!8orX%QD87kf zTyDNvF}q^Sf5v<+8nzVd&{wqbJ$Ad0b^JrB`={4bn_RT*G&wqC$AjOyv42{M0(WPs zT9?%esS#K-Q_Cpmo_8oK(=YwL7QDMR7aDY>TP9rexnlf)%GkmFZK3>j;mCpupM#5T z4SANQ-39)yc{k>`1JAM>1P*2y^`+D?r5c5~)nhZUGJS2o_o?njH@zgNI2%P#^;ARZ zytLA8oyowhNWSwMz+3a)h$!;^ran2LTc_cw?Q@8W7mF`$ob6g`wCWbgi0D%;oNHVx z9(Fgt<$#xpH1HYg`i9IPwk2iqc2}jXtX+ufHuEE2I26b8^?2utyl}+I%mqqZSW+5b z8k>#e>ik*QoBy8cGwGyjC)eQdZ_`a*q1SS>M5cyi)w2-3P}=EC3Ss#5YNMg)8LQW- z-&xr|ov_)iE8jX!CEG3&02>-M;=JwKWYXf~(#E6xYl<-0TXm`hN>AN&@eMS*Ar~(TyDe(7NqO#b-_qXsUJlCjj#q=h-)87VWQcB*YAeNTeZ(_KDhOR~ z{Q0@}4ZcLqF!7I(3unzwg<{94nmOAg57$tTe|&Tp?4fojQ3P|xnqSCiqgez?gz?yZ z&(MtkK*p><9L!88k}G$)ZNmf4hlYYqzLr$R1$oKzm?$|Tl%@Q41C(kCR6Y!oM4+3D zv7MJYEDbw(J;0Wm|0!+zQNV{fM#{ToWvJI|cgR%|C;eMCAuO0IDx@DnBS~fE=^Wbm z?3%`hsKNm98PNsvH=7SV{OV;gV3f!O18Jcvj;flHrHlfTyU9+!`IhV5Qz&Onh9|FN&a0 zNA|{QewH>XZ)K{r37y;aV;AH6`DC;r3p3~On(Nwnn#oESX?PMJFAh%LW!7^LZylR? zISv@@?3SB7F+8$I+57m92D>NaKZ}Yw|5|Jo==1owfFujF6L!a#tD%InA zdoGmr&~qa&&O4{3sj&C0e4FxJX3|U}>XJ>ct;%c3Ifn}fXbUhC)?KqMtDcX|t%5n% z*zDt1Zx+S%^hor^vWR;HOKhDe9x3halz)zK{KVs&%k=6MMD@w9>Ata}(beH`fCnT( zJE^yU#8OF;-!oPNOEG(&aS{*5`q7qN@`Si4m-^+$&zTMRA5NzchKrZgN?ACMyDM#T z(lbTDE<`8JvTb0;<|n=@)_bYnJx zf}6)lSi!->N+v;X7c>eoxV<3P= z;H!rhZGC?Laam>nix5IO%aqbU=VVa2qxM~4a|hdse;I9@dA+m$Nm*OA)1;mfK|)x}S9lDjfp=NKezggnMp#-M52D=;JnI5)uA=xc?&9S;tS*vIVl z+`SrCV^^i)wv%*-+w6Ch$!2k+Dz`r|k3oPaYnN`8jGj-0DCB*;&`n@xkN`K0jvR@c zI$b^Pnvu=bv}h{O%qDH~yf6||@|>HN&CS2I=@NOiePC}Bh_Fpv+KHk+0`-(Op~|-s zp5*aR+pIBrYRJOHlg{#k*H~UCzkWucAiufh#gjwF8oS>f>4J*a36-Xe<@)!rUmPPuzdtSbJGkb~gJmYI|5a?=YDCCNh=7 z`UC?mU+Y>>quP#O{@sT9Dc%c5O?>;Se#iqmxsu69JEQ`w#tV1D(W36Z&!b{tHGf6|fJyQ|K1c5WUbast#~@ zP*6)P5Sbi_UcViGCw9*|5{4+iW?duKk(PHL3v5WoN~od`ss8lpOU>eO!bNv3mntVm zW(!>D-}n&k_HTMBypX;&pDzp*1AAac&Coi8G^c0EX=pj=3ADVB5$pNIVMgb6A)u^| z0qGkP@Idu-`X=Y2f!bd>3#Td^jhKXtwp4UDOmei2ClMIyfn8JTS<@60(7pZt3l6+QYoH(ot3wy{ z$;1*m*5)`hlgEk5v?@2n;lxHemA`eq%$d+KKe5lgsfuO}z0Q5$SnK$__nqi_`;Zc4 zt9Y=6FTxcxhg+yE%MI-^9-KZMI(#+E!k%$$d)^`Nk2zZ7Y4SLAc?l4snX(#8o>

z>&8c#QiqdXGcR|HcG5e`r8l@JCBudDy$Gj?jYmo0?0Y^+t&RcsqkYe{{M=hc#e6PQ zrU#hUKX=DjAN|61DB3&bxE_2@4o*22&!uFyQjn_Cl26UAWqjmgmnVRH9bK(*@D(FT zJosW=Wx`Cc2#Vl_{raW;GchqhfCAQOiWz>hh1lgZ9c&d(W=;$Zs3SlZgp1au)Vpkm^Yq=++5N;nl8{_%(rzlPN3pIT4H|y(y!HmiPUG0n=@Ct~*ozaac7$ z0PO2YXmxKu8;YnSC+DRU0(=c2QP?{2B5pF`l@UgU4(WhqyC83nmvV|N8hDeo5r^AF zXC!TCeYxG)LF#STnN z6T*{=-=xX!$^L;PzqQ7UwJ%lf$BYXo3@MLhC>){ zG3%_BDr~qZ2`yjFGc7hcZE^_oMI7u_$FMu=N&n5Dt8h6VqZ57q|5SD5QAuZQ*rsXMR<$Wp+sx8Y%Onz) z%5;p>Gz-lXwbER0%N4<;bQs6VaonO@D@_waOf*u`G$&JBa6!=!jNAal4Z%qxzf0ej z^>Ge=a5(4Q^Ly`m@B6&Z^IZ77zreC^(>=pF+X$Whl43nS2Tp@9zCAK+HIEv1S*PE= zw|YH#^edb%8zqJ+Ex=l3&e_+mnKv ztSpu2emm*vie<~iZ$Fe+9dhA#q)Rf{CWWM#oB`=ZFYP zPM}26C#H&+fx8NWQRK6}S)mx0GvinQ$Dg*5p~=ZiTg!Le&WQ-I%|?YJh0dGPlm16I z-9YOgw)|n~V|6|!TldhuJr{p_{enOB3cixz9pPi=!K53ig9Md9Nq%s&a!t73cKO7K zV7=@!q_8L76YE?UAnP*r#@m3ig2NRzeHfyIfi3#@uMp0sD*&?FoGH%^P0DqjJ?d?J z^_}x`EBgSP%~Vuu8M5zgX+E=h)ErABf8Sikdp<>i1K;0Y@42t*sG80t$EX1mG6gVs zD5$(JC4)0{U6t{w)#P%XbGPvM2NfRVTg>DJ-_oM$60G5O?9PX!x#%{Jz$BHWFg@Z} z`|cCQOFLGYDQ#_oGdG{NLB4~qI_Q?sm6qtR=;!MRJCy)$4!C92)u6RadjfA(mWpYN zv|KN@DjSmjubnic5|Bn@TFU6T2~vpt8x6SA;&=u6LNV=G8zANlBJ7tok{->&97tik zDw-g-5XnRuv+ywtAO@vv0@9rXNjE6lipt&v-%)&&B5Pu$<%7RHIvpdf^K9`4C{+9d z1YuykGo_L8UtG%1nc5_HRk2oj)g?QarZRVj67Cc2nzWx^dMI&0&@OLt;v;??tojd* zkmovnHZc3oHjA)oNu}_;y-U%KefeR`baULQo#IByno#y*)!^zMLhA-r?BTYz5F5-a z`6qv^3SY~_O4g7`?E$xbPX&y$@d{w-_P}MT0P^3i>+Bj25|BI#Ss@Q21bogV&|Cwo zc#p1H%$?bjTCiBSks)KUMrvh*jthQMvS4OvdErjZ1F*w0N9Lbir1_Qqyb}W3Q^6XN zu^weFKlGM4q+T_XLNs*DK4r+tHB)HVVI&R>jB>Us0fQ4yeYrx`zX~Fb`yqKqdt2AQ zQq->XEE#_4&xHo|sp{t7l^^vF4YAnT zgn;z@7WezJmy1fBW6H3cS~{|KH~jVn1@8zw2<%Mi#q0hOZ<}ca6Sm5M{8O>D232ga zK8g%9k-cf14>u&3=Xz8wKVcBGx#tpC*|qU-^HUcAZLJ3Q?=;5DZ62VD;r2;w+|JAo zD#o2ECG!`3-*3o5*s}@}bkBBmy!;T5v@D^?&4UhXfaYO9;|51k<@2_<8=Of6*hx4E zI%EwvVBwN`hu3YyTOG(>tZnh|{Z!Hljy9fG5X*RSxSi8fQpV>hRb8&6+Q%=h;(vO; z&&=+MFsI9+|Z}!>ba+)Ti zZ&&#xGxo6an_j!LfRgeu%U6;d$wz>-{{0$A!ke8v!aO3=N%9xXRIv zc4IFL2ijC?X8HtCxK)`I?!B8eeqSRAZ8j}>SqOid;o#}vfu<^coAG7#O7<)II!KBlkwuSx8)h2%8oA) zTT%0LK!d3*=+pn5FI|tj-}t}&>?pS9ro#;b zMnbEGgQ|xG!&Qfhw_qd!12)ybIfT=%126yi!QAv*eP$+SzI`DE=uCUx=maQ;H27Xj zH&UL*by>$-FO3_3;i;jO(CRMKpdy1dk_x2c%F4d?+@q`GL+k%;%KiK^34^_WD}7*i z;nuC_*zL=WXUDuuD{Z|_9_1{cbkH+9q@P=l%e#`MG^3)Ac23oI`j z=8NDWrG4ZalAlyM_kPvsy~+J0(Vdz`+7-m7zmYgG)E^_XMP@U>0!ypX=3RxFOl6=$ zQE0@nugB}NQ}=XD0>75X`|Z1a>D7#nf-elxB`tb~FKsfOzR4QX-%>|#r%qM%WwlnHK^{%Gk*-rbtO!r^dy+t^5JP(lnx!v||U09F<0 z&wJNbf82)A0}*Bh{6YYZ2X-l!{VZN4tB!}D{=&B5W%#5Mx@N9#$o8PI@xZnVs-(myRA#*0*F{orvw z*$W#wIp!7x_sTJJc)fVolJ1tH6`ve{IY|=V9WkPb2gYz1?%VA$V^1J{*|E@ZO=t4E8NKFtYMo(4N> zesHiQU(1R{TObe_F)-0i=@^+lcjv|pplF!mvTQiI8#EsQDsoBc_gXnR6|zhktEM06vXD7Wf;L z|Gi$e0Jjr5shiJugWDipTwJpHs}a+-L%qal$Mf3?;`wkNUR-=wn@oIG_B(#?ntPdA z^yhVLxhBprF|`z~rG*9V%XGpg%*cqNfz}>t(Sd(_7Rq8~p{auT)me80z%;fJ6C3iN zF%NQ%Zn_i)ezIa*SpIEtxq-yP>KsQTlK4&yYrVlW(h1Q6q5Yy*dSqqm*+hM9bFYtf{r5zzGd2gpP9O|Gd;tN_-D|a(N-!#wjtj%G}Iuk7QOK6f1EH%XO@q&cy2t* zpBO$2Iui%rO?mTEKY{Jomze{IOBAyn6P@EmikpQgs2{sHzx3r4JE%cHzpQfksNyYx zhQ$b&uPVUh9HL8={a}C#DSN;L!DP_5K^UsRnOV`%gKxGL4i9@IsX|@5i)@)1c$de( ze;bGoelPhAz7Z2?I%jJ017aO2sW|rQChLd4DV*hrLyDwQ%_P2$E!FUr%M$z<=R%fIqeP34_IVeZ~D&0ExM zR4=K$c0E05F|?6Ln3Ef(?5x!38z;`ZR#RaOqUF-j?k^U+@*(t`9*;7DHh-L#_m4>O z-svj#jYM|R>an%aZcS3QjL&vMw3l3VK;LS;Groon3Vq}+0S9+;$VhzxvgG|=H*`>! zR#oZ3-adTQF{5K*lK$ew3ll=E`FLN`FiKcdeO!C`%t)_$BWqkvK zw;0SF!Z`Xq45_KFr(@-(qVoSX{c@@TDpi=Ut026-QRmaxb^ zx?(Qq6dUKU%GlTwbm8~7B%bgL8JL*hmZ;-A>dXYkYl1Fz(Lk)Nub@p|>93ugI>Eus zj!sV1)*UAi6Yq6IY`g6Te6VjdN{Wj9;3eQ|wbWAuhu^3seuUqKcs@#yBrBgjr5+w0 z<`)&!udAywX%4Ill+F3t)ddz6j8{}mYn%t3oxVJ~?t3SA&v$Nic46Q?w^xZXBp>l) zd~(az%)o#-MgsaKowhaAX{bsC#mRwXaSU6M18sChb$-L+zOinz3!i!G#i^56xQF7pU=H-zjPD=ByF z7w2ncQSd_c(rbp7^hW8Rm#dNI?D?LV33hUDmu0UHY+U_(ZTxJ3I!t;g?NmYbv6lpm z(Wdo*7v3Hiw)dFud$+YGsC*kTLrnumSbA9j!e4m?lzFqD8NW z&hudU5ELL5+uLNWKN@`MO1p9-^;5*D}5$(`MHY3XX*e$gee9s`WOu;1x zO+eq%!}~rcUpxiZhle*y;tjlhGm$&lNiCx=B)_c^3aUWq|HUwC6bhQp@oN(QhOe}mx;jipM<<%Rw}q5T?wZpT zW<8-8357mjo*Sa+%MjPPb?X)=du>(K=T{%T&h74gxD(iHK&~)GM}4D)A|!6ppvubh z-Q3=#2*R&-RV8I*l|4Vp=SW-{E+bWxlnkELlFmbB`(N))2H=!@nd;vIid|o}0a%-xb`4!V^qj6k!x4wlldHc3RMn-=9 z`c>D!ASLdC49HxRTsh@kU0sROYpK&~hB>l9 z^%z@7{;?Zx>+RdO&z+$6`qmnzZR+6Q5JSfqCNCe{VnM;Bmf(F);;^B50{scr-0i6V zp;A#A=u*sO)G3(@@$T;KNdR%q-!Le8^G1n7++~Qo)-qk1GrBySY7xwaJJ@bHEYm4a zahUJT>aK*oU78=8Z#{nexSpXQa%f0z?&nX(osGGToxtltLa8>!lo31ua7u;LxBW}_ z+6pTxtIX>FyQnzHoJQ{MRbtL#{rN%tx%WzniygdjwzfP0cIBx9>OcPhY>VPwvp{gQa%MKEai%h!r}e3h*6= zGda(~;6&01Dn<64Gd=0{>`jAAxi$3~DOGiz0g_n0B+0gu$VKEeXbnZdu@X*kgWulnV zrhijOdAUnLhBpyg@U?#-aQ5E%w`wpJj&}_#wa2LrO<~FltJlTvDnKH&)_LbmRH}>EEoPTv$MOW5wff`TI<&$SogTisK-t*`v5_&t?R5? z zVbUFCm2i#_cX9?z9~yJNma#HCEPOY|=YS70`DwUdr<<=A6{bpqm*evki~TX-#+g79 zdK8?%IagFWq=m4SH~t47PVp#}y!ar3Mu1;THFdjr;%_u`bow(DBz%U7{x5@WEj;p> z*qHZ>^87jrbV+-gv2rFy4do(7zFN8&f^}IpJh>9GDl1n>4=wcDXtMM>Op3Sm(iVQ> z@0?4R-CcE!N8i`zL&#OM$a#jOp4)v$WU7lVFD*P9Pm@ayKqLckVFKoqRV*BLm4MSh ztnHbQ_30x}>jPTWe-3eUMm9EuZy%;ziti`@;_>|X^VK-l;SzmzN%uDi2?=*BTOpZ^ zFPD$ghd(N3hE6$fGF19){^Y-URRtVsg0_A6vpcOoCV+%l@cHrim<)LZE#aZ~fXI_L~mps4?hC+K0evAU_CZ8&IN2IC7*D-_q=>geb=OZ3mE_5*6i z(6F{)I!37Z8t8q%BN+dHe+uCH@fQf`R)7pUU$MQmF+NU9-GieJ3q5o8EPlf7Qxu~~ zrDd2H0{12#JXHW3*x1;>Qb;}dCSO#B!C-n6!vU_2 z1Z__u4K0H7KSeV!8KwbP`}rW$Px=B-rPt)-EPx}xy|a!MbD1b&6S2iCkV$w~CmhCs zViSsV3OI|vx<2PLRk6_4&aJPPDt!C)y12MuSE^8I-#pCEuTG##7mU0P0D}Q84*p)B z0U}tSYp^fmz~k@m(b3#3E-7iuA?9p9AZy>x10Xe`#`rc9WY1`Eh3+qf_kSzK{}1~T ztf>r)jf?qVZ@aZ2Xz?(T92TCgO(e=otvDl9)RFrb-A4PA_*9Xr@3 z&v`c_zj}4rv8%g#s0M)-T$s5a>8|wr`ExZbt@$U9`2c>-bi^-zd3Bjx+P4xr2gyIX z9DT~^Pepl{OTH-}pa=97@Lrx<3j@rxqoboJpS7uoQNJg3W=oR|;%EctbjK?QEubDI zpKEN&b4uIF>IYN(bYr9R&VDfX5Erq?VcCe$9qVpL>C$~_fy}!ZI996~lmY`A)zs8*1drVobT+|2@^YuB{l z@GM;zEIA_sHP@BeHNRQh*l3nwLm3l1fB$;a*3l7dYq!3>PT@J2jfL>y;-X2_Oy=hd*gV~=; zwOC4bDj(?0x;uxu>L~(lvpY~IjFUkaDYL$Gfv|tO z->qZwNn3mZ<~NDdH&g9%^d0|~-pPZ7g7`Z?4fKCZa=^Y_ob;IPse z2w5^WGu(RWE1hjni_ZvaZ)?Ag%4ZZtW(J&eo_O!ZC0MvN-O>_#NSeDui#Gaazj zglq7rpgB(!n)aL1D8lHSRV4Nb6sq$&Op=H7gd;$9_FGmFs{o6$B-|80_>c^gK5tK& z$bE`V*$Fgh^mVgup<`fPcyXh=AGqdQh(w6>Nfe~-2t6tbB6-lHhYQe(89 zws!vtX?lOvhZ1vuoAAPFh&ybrPO=MIhMN1$ou|YAf~o4$!Q?WgazsR0^}-^)8+Aoq1`C=#wRv z{_M@d7w>OwZW2dKUE$9Lp;if6BUXx;nymNg!GTjCCnhFNZp#GiVp0T*^K{v>q zA>rd7yzrUwLz)K=M6;y*baiLqO@nvlQm;)u-lL;=W> z)DtLkpemY80O!KY&9j~HDMJ!n8FC@bDlgd!L881erj4PtO&2KfcN+{I^ z1U0THpcdfv+sOu>XwvhT7%Xrjz$N&IHdI*bFBt-_91no`Eg)Y?oR^1x`XN_#@0TJ) z&G`R#&c~|?%(0a3uUu~et`N*YA#X=}`~Gky*&=X1PQZ(%i#nxT2v~V197_xBJz*gj zs_uXPBxi3i*DTo7m)EH%8Zxx!O}@jWl6l7=fwGwuPOjv1TlEZZ=Oqr zI0Tb&`w?;d#tjfJdXfpX>IuLT^QvCHA2*bz7|pBd+C)sb;QNhASy}WTk&llL_`ruY zHa7J;KPh)TxVyb}7~TQY@`rb9f0cIQ+i7;$I=~JCwFF#XY5zruvl`jb#*{Qo?r=v7 zByPoq73Sc=)Xv6tV1LLiEia4uteTZsw3u^;?7drUSZlT=e{OGAOPFw}1^66Hu=%EJ;(P0 z)dKuUE5+p11}z}_MgbXkfmFlieIF=Z)V*+ehtJPWf9>uDe)|=$-IOcs$&s_5^!LWs z8x-pGX@k**GW6Pr-?U&TfH!zA)-RXC;Ba^mV!X-*SA#HJ@OhX1*w%Il1e=Um3=~^rA?O+{*&QVij`*?2CdM4GK4Qjc60jDl_ZL;{GgiCk?-azq zz>u7rTv%Evz$N34i9rF8eda!Oca;Dgb(k#z#56$GaFG!8Qzn0w9sfM?-${;|df!&C zSU?LKw=@TlYXW|sg8KI*|1%qXu#ws_#30m|+Z3?9l;PSuaCoqGxRf2Rx>Lc84}%4_ z|4rO<$R08HF9b25OaIwd_dRD`ieCrv5d=+nuBj3h0QaSW_at1u%zvmsaLEOmfgKbv z*CSDN{1&H)sVcU=KNs}V9df^r6f+A8l8T1@nv@i7Q5Q0^yjrHvSk$a`T}sL%{0NhG z{Rv2(ty&hDM1TSC z$J%(R)xtmD0#tq3VDNR-k7%iexMQMfL*v5_OR(oS6=?qvEp_hyo{5)R^*qh;6==vT z!8}+I+9^#N`S)YNwijNR6AE2@sR&*gT|R9I1~v}MKAG)Ipe2D`!+-BXNpE(GER9y= zfHwlRJ?Vvsd|FY+2VTv+$u|tY61=;rO8ae=N6H=*uY*cWmk9vz$6(Uy*F~uEdbJEO zgd@5IHsdGjB_)}ia0dh?#I$A>Vv9wZ$c~LD4wuTDkb|9*WaY2EH63GYMw*&&KpIYb7ZRxeyo|Q% zO9B3?!n_G%KX9qctnRk7a>=HbROih4!g>cch^6ZNw-)m7E)5!>P)2~pG~M!Ym+nJq zB0=ucMuA8(!Bp^(1uVk6pBWtFU89MlM0CI{4{3-`4%u=eJ9L-Kvfe(6SYLVej%vg> zfV84xYinzN7sO`3UV|!rAFf~RGFlE-Q&rVbQHcVPaEYbx!UHbwEv_Y`B~aEP27k#x z8jpgx2TKDULPbQ-GIB}j?UT1hfl)NwdJg7(n3do$!*-OGlB^&>Uu{pi7UW z@51bOW0Aa+S8hOtfc66KlKf)ummf(N#w~j~N~^1>Z2{G@DBiN85gnAp*|k}WT^#+n zFi?;T+GA|Ys3%hrMv<_~6)jWw7H=BG@K^#(_unw@4hC*wQUa<@WlNI3cs($JtG(|v zzNQS^APT%H1WWZIF3zPo2Rk!9F4cE_bzRy}nAMqh=nfXzqgsEy?xSe7X|2mJAoe@J zwgWAp1vDuPWdFe%i8+{sgUF=n?UiwBLjwbx_>`};k>Q|cP4B2h$m9V~%hq`B8AsuqK0CRC z-!qR;n-mKO01ROWQWJdN;`)knmS&utvT|gTH^HQ#z8-gyKAZ#u6#>*$0FY}pcL74o z!;r8UV^dS75WskOU5ZRHkEh)_xJZo_)YTzA_28){nX~VD+3;y`7y)3G2QJsj24v{Q2#hfs|rv zIoNd~?=Dx=Hknssy?$-a#39x#C?Eh(A+G4}Akw#HN-;5h{=6^ec7_(WoJ4Ni=&BLu zBKbFwKnW1UrvuT$Qi!|m?dY3z*PQ!2=lPxIIrn|P&L8J_oyTi@)fn^r%=Njh_x5>wMOTxHgP#LI5H7UV z`Kt)RR0`h**>=D)q@zci;0KG>S+pS=d@J8Q)Bul;Gd+q>}dq zQ*Q%zdvD+Co_2`qb?@6Q?%pm=Hx6R#JiVOU-A>A$kUb%N(9zrbw#u<%|NHl{?w$_E z5``lkBZ%+`^!YP}eyKD{h_}Hq9Y1f9vU&H_#Y`EwSU!TZW9anj%+4&O+!I%V4IAHc z?BsUjO?Gh5j1G-@DMv_tpG8)q>3(Eql}JTL-(F%1IDh60K|X@d;%4SH!SJdpnggAk zId6wGV*27b_*?@QB?x$B<+0#}hEsFFiR0tqwdezhc4pg7>M4bO0 zdAVs3YGh>OG~J!&S!;O-jn=<@{d!-WQGxN7Detc|4C^s+wJUYVo(b6_K2WTht`X93 z!`9YFU;oAT?>BT(mGq~krWOL;9;)iK@=e3c^j$xfgoJ9@X@`<}dh%bt*2>P#_QX-X zwzhV^LdRFyxADu^G}If+iX1<#pO=@H<|&Q5xpF|oTMHj0Sb>Y&RVLQ7GBUAfT?=eORbEcy*R?>GEa6;RdXN*TiKR^GYou(X}Q$B}FoW(3^*4KCPD&8++ZC zQ_vpn+}-_obiR^*(N8VExOi9I+iwpA49(5+6B7P-`t+&OK&4Z7R8-H)3s25Eb8>JP zUb%7*onKfulQIFHu{kkbY0$0acW_9-@y6kj`}gn147AANE}wh2Q{T`q;bO#}F9ruK zUHeK8&3JfudX6ow!6P9dpm(-G7SSUR{F_B+gZLI1$+nuBHT;6M&dRTJ)vkB{dS7wdlc^5tuLyK!)EL%ns$*Or!X49>{fS{6M}=TmSo>VO2i zJ3G&jqf%1Z(dsM7R<5wB`|qb;l;G`d-n`9s7)ce6Pgix_IC%1Kn4OsluVYW%Cwr2D zVp@ZI>SoO*PTMQ`H{k$sM5O6(vYnZ;qq8ygT*Wl=aM&d)+xTe<%aU7;SFxGO-ZO=A zDyo@xYfdTVITXKVN-a5$6Hwx2>Epg;mdO9SaPI62iJAQD;%^(JN+dtyUzG!HyNW%{ z=R(%kxy{x-sAT;i%#&?hruz}EM3S1=2#MeOyi@@i0Jg^^WBAKxft;^-01Z zA!|{5@97V?od*B)lyq4}gKPeaPZoYl~)v|)->R6C-JD0%dI zR$6$pPrk|Jg!S4RqyoJs2c7mGZpOYef1s~*8oN)4s2h9}IZf!bWuEEE3a0#=^i?&a zMtHvVZG9%UCcC?V^B$_$l>X|YX$jxAJ^KWCEz9oX=-#KX!YapEI1%p@SOYcyKmBY= zo7*2fvq91^l)KHwhsfzgbCupn_oFB~$531mq)sc^D&Te}6SCx@uGoYi>HlSB^`~4W z&Kz#8WU;Lzo1iq-_=N>R9#2+(@UmlJs;U%kEW_u3+_fIvZb zI7g8c&e&_R-N?+$OpDT2W?SVoshg(can>ei{=v38p}|`l!{m4DRW(XL;!OBTj883WutatON4)^6=avL+fQ=SIm5?;YO#4n87J1^SHOl)5Ju+ z1KN6ey(={G`<}VJvU5D*x(U!nb3<>Jrwd9jCIv_+8-u+5BZXLGz+K>_KU$78c5@!9 z&+P8*F7?^IeY@n*qcNgJ#>N}W9g3^Cu{dq{;NN}}>?-BD zJK@WhSi)pHVbb90)vLM7ur{@77E^Qc6!?U@4k+zDASEFY+e>xz9R>y=Xl&I>k(rS{ zn-USPTFb9rzg~57D|Wthi%}ZaflBmAhxVO$Rya%%uz;Oe;x1uSAznDd^3-rp1(y}T z{$tl%;^aRe4V-UDapPt{EyXQTP}TTc*e()$x@#t6sKU2W>6UWbnfyigjgiUIPxkvkg9j4CgM5eSyjf} z!=u8DQ%~xa>6e9jd}1lVt28$H-B4>TJIY6G+Wzfz)Bxpd*m57DYVB(&rD5jZ&ik?d zPFF{Fra_y`yU9XxZH-OU=&S?!;a;C4j!0fCYwsIbR&q$akyaM|I9z}3$55Tp?Dx5Q zuP(f<+^6&{%6DSDAOFO2w-$2N?&$kjK9xfJj=o;;#vYqZ`aU!V_HeW_{l3s-guz_$ zP&2hTl#SI|ea(dl@wQuj~Egh<{nC#0fvaKeKMk`sr!6KPYTWD^X?*rUIjj*ys&wCW` znDba)kMzw`U;A$qj;}l;lk>Q7(FWm|hy8d7lN3IPBrF*NhGG*uHjJG(RO(~&0&07U<7PiI9#?i>7FWSm$bDxqkt8|tnQ@I-mVVC z_flzJR}f@JDKMjffk-sI%ei%Q{&ihlT^rpxU`h;#rO2}O#0>4PAfa1TpS~b)b&O#fTrpiohbR{|GOzlWD&4*mZASUS6lAA4ElO0HO2MX%{p8Azz6)^_SbJ zcznNqz0W3y_)r#PhU7q$YEe-UxT9F; z7?9?FVJGv3Ape4a7w5v9e{{T9pQ#`OFVPhh6{kPPisYA+Y!UHwF(2^wTOFBa!XG~_ z!|{UZ`p>-3Q1)uz*ylZBqM}C?6rLuDsD3V&7Ssr~)Qmbnj5%~}#*G!Z>*CK|_8)ZB za&8TiGUrILkVCTU%9w6xBUe$U{N`fDNUDr;OW}mIO{q3xk z|M*jWWzSba{$qP^1FWHsnmAf_Y^@POmcBnZ<~-9^mZBb5y|A!gPTA}>(93flZU9}~ z*>-BUP(5(P5e6<`nPgH0o?H3AF8W-^Rz+SQ@@VHiw@_E>qgXn6Qpl@`Z7Rt%q~wLD zRlrm>zbd9s)ag^i{&lL&*1+^i$mU`O=)fyrE{Iv0Rlal9j0J^9NB4s0%YDovKD|PA zpBo%vYLctJ@5mhX-lLs%kCof`V>mCvw6DzcXTgi|8yc*ML?W6kH>0*8>ZIvirtIfVp`#cImm_`nu2FO26^3>34{j7^q)nvCW z*lwKHC1iwEq^VB7F_iIA>7(169kM)M4cqfpkW zn3)cW?=WTBv~jJ?eQ6#qTu@nQ2<|t4zTA7SX8SfK>=IEkV77L0X)IpvQXB^dhxgBs zGqj<%7J(}>42eSO>w6t06rd%b=+aSag_93laZ%s=HA<1=L4J-}mD-3c=SFY7!WwO; zEGNHT-_>=O$T?7`ym;dK*q3-HY5*PPn{8uJ0tPHW6b!J;jK>gm)k>Yd)TQFT@G3t) ze{4Cx2QTQW6<1zfE{e{&7}*JvD~fh+q*n_C{XBC)Gh;KO9wtdrM#jj=DbKBToDZt# z1hLm|;v#}jnyYzDjf|e==%z_RA_d7CFCSle#Y(?J1}T(@89Ei#JTszw`$)fx^Dq4EnlXHc4vi&*kOilvD2MiY|SbdZ@MYurVP8*ze!Ji=x5c-8p?a z?xvaXXTlrPM6r_I0>~qQT&VGSD58b?TM}=GBI2z=HvWrZG_ONus9t4iWW&7kC)n6;K5rM0A6`&8plh69?;v$UO%ie|$1j_LM#~3& zWmF&Fi8O(#844)a++1yB%pGKlkh?s6xJxh}h;~E|C$FgJ3@Y-_mH-00`45tmtGIw= z=eB1jH38fhApQO06T+G+E$1`jeL%3Y4I8t@8W|@Tg=4G(z^#WN{`QDmbo`ni!D#6L z$|Ss~Yoz&}g6EhP=+%PK(ko?UWsJV(lQzwSB*w~zWW*p}l~FyGP}#}S_SA-+NX*<& z5w)bz8hWs~3}mz8#tN-@_@jylR0?85)1PlML0E&QM?*|&0G;0MFT8*MegNd6Pbm75 zftANc-n3symP*O0Bky+4)}FlDU%ss%FE189>ZC9Muw-RLaicw>eq#i#3<(kuv6JDN zJ$oT7y77OC4q8uotx&O|xVR=NLk}KkG&*fi;cwm_0wr(*Dz`^Y-!6RhN_6H6GZYKr zoTBOV)w$t`mM|nVo$!wYFnzfsqzD9?K9CQoW;nP&X>EM8FyjeI5pr6pI`u)H z;JY+*7tAiqUFCYmv4MTU!X;F2TPQa5DJEzrW}eN~c*HPG3a!T!V{phTr$c;xle93nKUxzJjN{k5Wxy$EN)2 z8%Cm3O`_EwGb0@p^Lr2fFEjdSN8chrqXf3`9B)ej(3=IryWz5PysQCTNge2(Z+m(S^iDX*!E+Mr)uilyr zO4rN4wCCEH83Xbe+1R+7CE8)vr*e&9%4ISL`>r~yj#gx02h=m*5U6I*^9cw~C!GwG z`V0+Lx}Ub}v}!rzHyYUkSxbkT)vHzqiwLVbU}K$NjA@%E7N|i5%2=0+_NmuXt+kX@pZ~yfNk_*B&Li9!=@_p4C(Z*iapYBbp$NHpIQTQz6m%Sf zjPO8h{a%bw!3k#w(z@J$N_#)@3ky;QDRnYf9HB9z$1q}Ncr|1p*2SQe7(2a)_V&yUfrwq#7QS{(OFaXP~Ckd5i4y%@!O1&?e_z6(X3CYQ?%WU!K zi{sk3$qJExpnuEWSZWBCCB??k>w~lEDYD4b0C`6l(zLbB%F)Xx zhOK=-m;IvkjIgpEaeu9~rNzL&DHlFnL%NL@c@8BK`$#pddb3U3|4*YK8u<#(tOa0KH z=HkS6bu;BH@;5*4zHs4!(}zcU7{&oUb6r&!BZp2^HUPX0*j$@@-*cXESAtfu9vTt^ z#tB%gh-N}YhOlR#XlrhFa0aH$!Na3$D0st_KI_|ftEQ*DRxJZX3wDXxfAS)jFK|Fz zg=Q7JWz^PdC``NS^txoE?Rfb8Pp;zlq)3V?dT#5puNcR0GVZvNy12=?|=WjJ`d z0+qUP=;ZPN(eSB@nUlAw#e6ns!E70Yk-6*@L#wDn^k%@_ejOCk-l;gG!8UI#L zRD9U&I#l03J>1v`xNiTiqebyHs7Xh65mCc_qg+&=muhM1QvWsUlHLG-o4O(btB_w4 z|4I7@BVY&nG|FN>5k*TSKp1=r{FyQAATJwBAsjfEz71ThR&*Qu_t|T6fHcPk;){`S zP{Y-;^^3YxXbyIm09lv-RpIBu!5c+Yb}fk`iyaWzx-8F9$OAR*Hd;lLEt@$uTV|Ip zabk(DjFZH)6HUXog{v)PlYGFDU89{OsM$hjZvo}+0hcA9=BgC89`x&5SP?kR0^hlz z9x&O3AD`^A;Ns$4j=sn-HKr6mTnrbAqQa zG1s_+QG;L;AXN>2y~fz*R6=5+wAo%Yb@jN31^APVvS)CF3I4lfblwyUTiH+mwWt(p vZamgHS^Lw90oTjF7!FIF=fC3&sdI}totL_{w!4##z!&<0?)l=g*Y5rcwo`>q diff --git a/doc/pub/week45/ipynb/week45.ipynb b/doc/pub/week45/ipynb/week45.ipynb index e3945e0c2..cfd7a1c89 100644 --- a/doc/pub/week45/ipynb/week45.ipynb +++ b/doc/pub/week45/ipynb/week45.ipynb @@ -2,10 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "30c2be4e", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "\n", @@ -14,10 +11,7 @@ }, { "cell_type": "markdown", - "id": "a8e0f520", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "# Week 45: Decisions Trees, Random Forests, Bagging and Boosting\n", "**Morten Hjorth-Jensen**, Department of Physics, University of Oslo and Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University\n", @@ -29,10 +23,7 @@ }, { "cell_type": "markdown", - "id": "cf7f77b1", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Overview of week 45\n", "\n", @@ -55,10 +46,7 @@ }, { "cell_type": "markdown", - "id": "ac5d0602", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Decision trees, overarching aims\n", "\n", @@ -86,10 +74,7 @@ }, { "cell_type": "markdown", - "id": "943bced3", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Basics of a tree\n", "\n", @@ -106,10 +91,7 @@ }, { "cell_type": "markdown", - "id": "6b020673", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## A Sketch of a Tree, Regression problem\n", "\n", @@ -118,10 +100,7 @@ }, { "cell_type": "markdown", - "id": "b644cf30", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## A Sketch of a Tree, Classification problem\n", "\n", @@ -130,10 +109,7 @@ }, { "cell_type": "markdown", - "id": "cd6b2ccd", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## A typical Decision Tree with its pertinent Jargon, Classification Problem\n", "\n", @@ -148,10 +124,7 @@ }, { "cell_type": "markdown", - "id": "3ec2db23", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## General Features\n", "\n", @@ -171,10 +144,7 @@ }, { "cell_type": "markdown", - "id": "a70e8806", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## How do we set it up?\n", "\n", @@ -194,23 +164,51 @@ }, { "cell_type": "markdown", - "id": "ee45f8bf", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Decision trees and Regression" ] }, { "cell_type": "code", - "execution_count": 1, - "id": "c168b8a8", - "metadata": { - "collapsed": false, - "editable": true - }, - "outputs": [], + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2nd degree coefficients:\n", + "zero power: -3.3112918771861617\n", + "first power: -0.05496439065605696\n", + "second power: 1.4567975023084221e-05\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "

" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "%matplotlib inline\n", "\n", @@ -306,10 +304,7 @@ }, { "cell_type": "markdown", - "id": "c50ab0f4", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Building a tree, regression\n", "\n", @@ -328,10 +323,7 @@ }, { "cell_type": "markdown", - "id": "97ffe3dc", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "\\sum_{j=1}^J\\sum_{i\\in R_j}(y_i-\\overline{y}_{R_j})^2,\n", @@ -340,10 +332,7 @@ }, { "cell_type": "markdown", - "id": "b9909111", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "where $\\overline{y}_{R_j}$ is the mean response for the training observations \n", "within box $j$." @@ -351,10 +340,7 @@ }, { "cell_type": "markdown", - "id": "0f37fe66", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## A top-down approach, recursive binary splitting\n", "\n", @@ -373,10 +359,7 @@ }, { "cell_type": "markdown", - "id": "ab77b1a6", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Making a tree\n", "\n", @@ -386,10 +369,7 @@ }, { "cell_type": "markdown", - "id": "a2482efe", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "\\left\\{X\\vert x_j < s\\right\\},\n", @@ -398,20 +378,14 @@ }, { "cell_type": "markdown", - "id": "8a1b0174", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "and" ] }, { "cell_type": "markdown", - "id": "c37fc8a8", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "\\left\\{X\\vert x_j \\geq s\\right\\},\n", @@ -420,20 +394,14 @@ }, { "cell_type": "markdown", - "id": "d34ab632", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "so that we obtain the lowest MSE, that is" ] }, { "cell_type": "markdown", - "id": "b7e3a485", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "\\sum_{i:x_i\\in R_j}(y_i-\\overline{y}_{R_1})^2+\\sum_{i:x_i\\in R_2}(y_i-\\overline{y}_{R_2})^2,\n", @@ -442,10 +410,7 @@ }, { "cell_type": "markdown", - "id": "7393edae", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "which we want to minimize by considering all predictors\n", "$x_1,x_2,\\dots,x_p$. We consider also all possible values of $s$ for\n", @@ -475,10 +440,7 @@ }, { "cell_type": "markdown", - "id": "c1fcad7a", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Pruning the tree\n", "\n", @@ -499,10 +461,7 @@ }, { "cell_type": "markdown", - "id": "f88e7682", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Cost complexity pruning\n", "\n", @@ -511,10 +470,7 @@ }, { "cell_type": "markdown", - "id": "fd949263", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "\\sum_{m=1}^{\\overline{T}}\\sum_{i:x_i\\in R_m}(y_i-\\overline{y}_{R_m})^2+\\alpha\\overline{T},\n", @@ -523,10 +479,7 @@ }, { "cell_type": "markdown", - "id": "238c5120", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "is as small as possible. Here $\\overline{T}$ is \n", "the number of terminal nodes of the tree $T$ , $R_m$ is the\n", @@ -551,10 +504,7 @@ }, { "cell_type": "markdown", - "id": "968f65d6", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Schematic Regression Procedure\n", "\n", @@ -577,10 +527,7 @@ }, { "cell_type": "markdown", - "id": "9b0aaf6e", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## A Classification Tree\n", "\n", @@ -600,10 +547,7 @@ }, { "cell_type": "markdown", - "id": "24d2049f", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Growing a classification tree\n", "\n", @@ -627,10 +571,7 @@ }, { "cell_type": "markdown", - "id": "ed99fac8", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Classification tree, how to split nodes\n", "\n", @@ -646,10 +587,7 @@ }, { "cell_type": "markdown", - "id": "dc1cc254", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "p_{mk} = \\frac{1}{N_m}\\sum_{i\\in R_m}I(y_i=k).\n", @@ -658,10 +596,7 @@ }, { "cell_type": "markdown", - "id": "5f088c05", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "We let $p_{mk}$ represent the majority class of observations in region\n", "$m$. The three most common ways of splitting a node are given by\n", @@ -671,10 +606,7 @@ }, { "cell_type": "markdown", - "id": "055498ee", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "\\frac{1}{N_m}\\sum_{i\\in R_m}I(y_i\\ne k) = 1-p_{mk}.\n", @@ -683,20 +615,14 @@ }, { "cell_type": "markdown", - "id": "6e5afe90", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "* Gini index $g$" ] }, { "cell_type": "markdown", - "id": "cce88a51", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "g = \\sum_{k\\ne k'} p_{mk}p_{mk'}=\\sum_{k=1}^K p_{mk}(1-p_{mk}).\n", @@ -705,20 +631,14 @@ }, { "cell_type": "markdown", - "id": "d4d0b0ad", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "* Information entropy or just entropy $s$" ] }, { "cell_type": "markdown", - "id": "3ae7713b", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "s = -\\sum_{k=1}^K p_{mk}\\log{p_{mk}}.\n", @@ -727,10 +647,7 @@ }, { "cell_type": "markdown", - "id": "03b6ecc5", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Gini Index (or Coefficient or Impurity)\n", "\n", @@ -749,10 +666,7 @@ }, { "cell_type": "markdown", - "id": "b2e930b9", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Why binary splits?\n", "\n", @@ -764,10 +678,7 @@ }, { "cell_type": "markdown", - "id": "2ac72645", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Computing a Tree using the Gini Index\n", "\n", @@ -790,10 +701,7 @@ }, { "cell_type": "markdown", - "id": "5f2b9a6f", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## The Table\n", "\n", @@ -818,10 +726,7 @@ }, { "cell_type": "markdown", - "id": "822ecc99", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Computing the various Gini Indices\n", "\n", @@ -835,10 +740,7 @@ }, { "cell_type": "markdown", - "id": "de46c0c8", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Computing the various Gini Indices, Hours slept\n", "\n", @@ -849,10 +751,7 @@ }, { "cell_type": "markdown", - "id": "ed71a46f", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Computing the various Gini Indices, Hours studied\n", "\n", @@ -865,23 +764,67 @@ }, { "cell_type": "markdown", - "id": "bfe1cb64", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## A possible code using Scikit-Learn" ] }, { "cell_type": "code", - "execution_count": 2, - "id": "9a316ea3", - "metadata": { - "collapsed": false, - "editable": true - }, - "outputs": [], + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " (0, 2)\t1.0\n", + " (0, 5)\t1.0\n", + " (0, 8)\t1.0\n", + " (1, 1)\t1.0\n", + " (1, 3)\t1.0\n", + " (1, 6)\t1.0\n", + " (2, 0)\t1.0\n", + " (2, 4)\t1.0\n", + " (2, 6)\t1.0\n", + " (3, 1)\t1.0\n", + " (3, 3)\t1.0\n", + " (3, 7)\t1.0\n", + " (4, 1)\t1.0\n", + " (4, 4)\t1.0\n", + " (4, 7)\t1.0\n", + " (5, 0)\t1.0\n", + " (5, 3)\t1.0\n", + " (5, 7)\t1.0\n", + " (6, 1)\t1.0\n", + " (6, 3)\t1.0\n", + " (6, 6)\t1.0\n", + " (7, 0)\t1.0\n", + " (7, 4)\t1.0\n", + " (7, 7)\t1.0\n", + " (8, 0)\t1.0\n", + " (8, 3)\t1.0\n", + " (8, 7)\t1.0\n", + " (9, 1)\t1.0\n", + " (9, 3)\t1.0\n", + " (9, 6)\t1.0\n", + " (10, 1)\t1.0\n", + " (10, 4)\t1.0\n", + " (10, 7)\t1.0\n", + "Train set accuracy with Decision Tree: 0.82\n" + ] + }, + { + "data": { + "text/plain": [ + "0" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Common imports\n", "import numpy as np\n", @@ -954,23 +897,126 @@ }, { "cell_type": "markdown", - "id": "bd880513", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Visualizing Trees, More examples" ] }, { "cell_type": "code", - "execution_count": 3, - "id": "b991bd90", - "metadata": { - "collapsed": false, - "editable": true - }, - "outputs": [], + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " mean radius mean texture mean perimeter mean area mean smoothness \\\n", + "0 17.99 10.38 122.80 1001.0 0.11840 \n", + "1 20.57 17.77 132.90 1326.0 0.08474 \n", + "2 19.69 21.25 130.00 1203.0 0.10960 \n", + "3 11.42 20.38 77.58 386.1 0.14250 \n", + "4 20.29 14.34 135.10 1297.0 0.10030 \n", + ".. ... ... ... ... ... \n", + "564 21.56 22.39 142.00 1479.0 0.11100 \n", + "565 20.13 28.25 131.20 1261.0 0.09780 \n", + "566 16.60 28.08 108.30 858.1 0.08455 \n", + "567 20.60 29.33 140.10 1265.0 0.11780 \n", + "568 7.76 24.54 47.92 181.0 0.05263 \n", + "\n", + " mean compactness mean concavity mean concave points mean symmetry \\\n", + "0 0.27760 0.30010 0.14710 0.2419 \n", + "1 0.07864 0.08690 0.07017 0.1812 \n", + "2 0.15990 0.19740 0.12790 0.2069 \n", + "3 0.28390 0.24140 0.10520 0.2597 \n", + "4 0.13280 0.19800 0.10430 0.1809 \n", + ".. ... ... ... ... \n", + "564 0.11590 0.24390 0.13890 0.1726 \n", + "565 0.10340 0.14400 0.09791 0.1752 \n", + "566 0.10230 0.09251 0.05302 0.1590 \n", + "567 0.27700 0.35140 0.15200 0.2397 \n", + "568 0.04362 0.00000 0.00000 0.1587 \n", + "\n", + " mean fractal dimension ... worst radius worst texture \\\n", + "0 0.07871 ... 25.380 17.33 \n", + "1 0.05667 ... 24.990 23.41 \n", + "2 0.05999 ... 23.570 25.53 \n", + "3 0.09744 ... 14.910 26.50 \n", + "4 0.05883 ... 22.540 16.67 \n", + ".. ... ... ... ... \n", + "564 0.05623 ... 25.450 26.40 \n", + "565 0.05533 ... 23.690 38.25 \n", + "566 0.05648 ... 18.980 34.12 \n", + "567 0.07016 ... 25.740 39.42 \n", + "568 0.05884 ... 9.456 30.37 \n", + "\n", + " worst perimeter worst area worst smoothness worst compactness \\\n", + "0 184.60 2019.0 0.16220 0.66560 \n", + "1 158.80 1956.0 0.12380 0.18660 \n", + "2 152.50 1709.0 0.14440 0.42450 \n", + "3 98.87 567.7 0.20980 0.86630 \n", + "4 152.20 1575.0 0.13740 0.20500 \n", + ".. ... ... ... ... \n", + "564 166.10 2027.0 0.14100 0.21130 \n", + "565 155.00 1731.0 0.11660 0.19220 \n", + "566 126.70 1124.0 0.11390 0.30940 \n", + "567 184.60 1821.0 0.16500 0.86810 \n", + "568 59.16 268.6 0.08996 0.06444 \n", + "\n", + " worst concavity worst concave points worst symmetry \\\n", + "0 0.7119 0.2654 0.4601 \n", + "1 0.2416 0.1860 0.2750 \n", + "2 0.4504 0.2430 0.3613 \n", + "3 0.6869 0.2575 0.6638 \n", + "4 0.4000 0.1625 0.2364 \n", + ".. ... ... ... \n", + "564 0.4107 0.2216 0.2060 \n", + "565 0.3215 0.1628 0.2572 \n", + "566 0.3403 0.1418 0.2218 \n", + "567 0.9387 0.2650 0.4087 \n", + "568 0.0000 0.0000 0.2871 \n", + "\n", + " worst fractal dimension \n", + "0 0.11890 \n", + "1 0.08902 \n", + "2 0.08758 \n", + "3 0.17300 \n", + "4 0.07678 \n", + ".. ... \n", + "564 0.07115 \n", + "565 0.06637 \n", + "566 0.07820 \n", + "567 0.12400 \n", + "568 0.07039 \n", + "\n", + "[569 rows x 30 columns]\n", + " malignant benign\n", + "0 1 0\n", + "1 1 0\n", + "2 1 0\n", + "3 1 0\n", + "4 1 0\n", + ".. ... ...\n", + "564 1 0\n", + "565 1 0\n", + "566 1 0\n", + "567 1 0\n", + "568 0 1\n", + "\n", + "[569 rows x 2 columns]\n" + ] + }, + { + "data": { + "text/plain": [ + "0" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "import os\n", "from sklearn.datasets import load_breast_cancer\n", @@ -1009,23 +1055,27 @@ }, { "cell_type": "markdown", - "id": "d9a6a809", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Visualizing the Tree, The Moons" ] }, { "cell_type": "code", - "execution_count": 4, - "id": "6ae9ab50", - "metadata": { - "collapsed": false, - "editable": true - }, - "outputs": [], + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Common imports\n", "import numpy as np\n", @@ -1055,10 +1105,7 @@ }, { "cell_type": "markdown", - "id": "6d7a69fb", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Other ways of visualizing the trees\n", "\n", @@ -1067,13 +1114,48 @@ }, { "cell_type": "code", - "execution_count": 5, - "id": "d68c173a", - "metadata": { - "collapsed": false, - "editable": true - }, - "outputs": [], + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[Text(167.4, 199.32, 'X[2] <= 2.45\\ngini = 0.667\\nsamples = 150\\nvalue = [50, 50, 50]'),\n", + " Text(141.64615384615385, 163.07999999999998, 'gini = 0.0\\nsamples = 50\\nvalue = [50, 0, 0]'),\n", + " Text(193.15384615384616, 163.07999999999998, 'X[3] <= 1.75\\ngini = 0.5\\nsamples = 100\\nvalue = [0, 50, 50]'),\n", + " Text(103.01538461538462, 126.83999999999999, 'X[2] <= 4.95\\ngini = 0.168\\nsamples = 54\\nvalue = [0, 49, 5]'),\n", + " Text(51.50769230769231, 90.6, 'X[3] <= 1.65\\ngini = 0.041\\nsamples = 48\\nvalue = [0, 47, 1]'),\n", + " Text(25.753846153846155, 54.359999999999985, 'gini = 0.0\\nsamples = 47\\nvalue = [0, 47, 0]'),\n", + " Text(77.26153846153846, 54.359999999999985, 'gini = 0.0\\nsamples = 1\\nvalue = [0, 0, 1]'),\n", + " Text(154.52307692307693, 90.6, 'X[3] <= 1.55\\ngini = 0.444\\nsamples = 6\\nvalue = [0, 2, 4]'),\n", + " Text(128.76923076923077, 54.359999999999985, 'gini = 0.0\\nsamples = 3\\nvalue = [0, 0, 3]'),\n", + " Text(180.27692307692308, 54.359999999999985, 'X[2] <= 5.45\\ngini = 0.444\\nsamples = 3\\nvalue = [0, 2, 1]'),\n", + " Text(154.52307692307693, 18.119999999999976, 'gini = 0.0\\nsamples = 2\\nvalue = [0, 2, 0]'),\n", + " Text(206.03076923076924, 18.119999999999976, 'gini = 0.0\\nsamples = 1\\nvalue = [0, 0, 1]'),\n", + " Text(283.2923076923077, 126.83999999999999, 'X[2] <= 4.85\\ngini = 0.043\\nsamples = 46\\nvalue = [0, 1, 45]'),\n", + " Text(257.53846153846155, 90.6, 'X[1] <= 3.1\\ngini = 0.444\\nsamples = 3\\nvalue = [0, 1, 2]'),\n", + " Text(231.7846153846154, 54.359999999999985, 'gini = 0.0\\nsamples = 2\\nvalue = [0, 0, 2]'),\n", + " Text(283.2923076923077, 54.359999999999985, 'gini = 0.0\\nsamples = 1\\nvalue = [0, 1, 0]'),\n", + " Text(309.04615384615386, 90.6, 'gini = 0.0\\nsamples = 43\\nvalue = [0, 0, 43]')]" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "from sklearn.datasets import load_iris\n", "from sklearn import tree\n", @@ -1086,10 +1168,7 @@ }, { "cell_type": "markdown", - "id": "4e723908", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Printing out as text\n", "\n", @@ -1099,13 +1178,24 @@ }, { "cell_type": "code", - "execution_count": 6, - "id": "c469a11c", - "metadata": { - "collapsed": false, - "editable": true - }, - "outputs": [], + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "|--- petal width (cm) <= 0.80\n", + "| |--- class: 0\n", + "|--- petal width (cm) > 0.80\n", + "| |--- petal width (cm) <= 1.75\n", + "| | |--- class: 1\n", + "| |--- petal width (cm) > 1.75\n", + "| | |--- class: 2\n", + "\n" + ] + } + ], "source": [ "from sklearn.datasets import load_iris\n", "from sklearn.tree import DecisionTreeClassifier\n", @@ -1119,10 +1209,7 @@ }, { "cell_type": "markdown", - "id": "fa7f8c24", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Algorithms for Setting up Decision Trees\n", "\n", @@ -1139,10 +1226,7 @@ }, { "cell_type": "markdown", - "id": "6f5e563d", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## The CART algorithm for Classification\n", "\n", @@ -1156,10 +1240,7 @@ }, { "cell_type": "markdown", - "id": "8db201c8", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "C(k,t_k) = \\frac{m_{\\mathrm{left}}}{m}G_{\\mathrm{left}}+ \\frac{m_{\\mathrm{right}}}{m}G_{\\mathrm{right}},\n", @@ -1168,10 +1249,7 @@ }, { "cell_type": "markdown", - "id": "846bdc51", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "where $G_{\\mathrm{left/right}}$ measures the impurity of the left/right subset and $m_{\\mathrm{left/right}}$\n", " is the number of instances in the left/right subset\n", @@ -1185,10 +1263,7 @@ }, { "cell_type": "markdown", - "id": "97d221ac", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## The CART algorithm for Regression\n", "\n", @@ -1198,10 +1273,7 @@ }, { "cell_type": "markdown", - "id": "b5257902", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "C(k,t_k) = \\frac{m_{\\mathrm{left}}}{m}\\mathrm{MSE}_{\\mathrm{left}}+ \\frac{m_{\\mathrm{right}}}{m}\\mathrm{MSE}_{\\mathrm{right}}.\n", @@ -1210,20 +1282,14 @@ }, { "cell_type": "markdown", - "id": "9195395d", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "Here the MSE for a specific node is defined as" ] }, { "cell_type": "markdown", - "id": "c7085776", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "\\mathrm{MSE}_{\\mathrm{node}}=\\frac{1}{m_\\mathrm{node}}\\sum_{i\\in \\mathrm{node}}(\\overline{y}_{\\mathrm{node}}-y_i)^2,\n", @@ -1232,20 +1298,14 @@ }, { "cell_type": "markdown", - "id": "fa97d224", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "with" ] }, { "cell_type": "markdown", - "id": "3a6d9445", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "\\overline{y}_{\\mathrm{node}}=\\frac{1}{m_\\mathrm{node}}\\sum_{i\\in \\mathrm{node}}y_i,\n", @@ -1254,10 +1314,7 @@ }, { "cell_type": "markdown", - "id": "29520145", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "the mean value of all observations in a specific node.\n", "\n", @@ -1267,10 +1324,7 @@ }, { "cell_type": "markdown", - "id": "161c32c7", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Computing the Gini index\n", "\n", @@ -1311,23 +1365,85 @@ }, { "cell_type": "markdown", - "id": "ce618e95", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Simple Python Code to read in Data and perform Classification" ] }, { "cell_type": "code", - "execution_count": 7, - "id": "074fa8d9", - "metadata": { - "collapsed": false, - "editable": true - }, - "outputs": [], + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " (0, 0)\t1.0\n", + " (0, 7)\t1.0\n", + " (0, 9)\t1.0\n", + " (0, 13)\t1.0\n", + " (1, 3)\t1.0\n", + " (1, 5)\t1.0\n", + " (1, 8)\t1.0\n", + " (1, 12)\t1.0\n", + " (2, 3)\t1.0\n", + " (2, 5)\t1.0\n", + " (2, 8)\t1.0\n", + " (2, 11)\t1.0\n", + " (3, 1)\t1.0\n", + " (3, 5)\t1.0\n", + " (3, 8)\t1.0\n", + " (3, 12)\t1.0\n", + " (4, 2)\t1.0\n", + " (4, 6)\t1.0\n", + " (4, 8)\t1.0\n", + " (4, 12)\t1.0\n", + " (5, 2)\t1.0\n", + " (5, 4)\t1.0\n", + " (5, 10)\t1.0\n", + " (5, 12)\t1.0\n", + " (6, 2)\t1.0\n", + " :\t:\n", + " (8, 12)\t1.0\n", + " (9, 3)\t1.0\n", + " (9, 4)\t1.0\n", + " (9, 10)\t1.0\n", + " (9, 12)\t1.0\n", + " (10, 2)\t1.0\n", + " (10, 6)\t1.0\n", + " (10, 10)\t1.0\n", + " (10, 12)\t1.0\n", + " (11, 3)\t1.0\n", + " (11, 6)\t1.0\n", + " (11, 10)\t1.0\n", + " (11, 11)\t1.0\n", + " (12, 1)\t1.0\n", + " (12, 6)\t1.0\n", + " (12, 8)\t1.0\n", + " (12, 11)\t1.0\n", + " (13, 1)\t1.0\n", + " (13, 5)\t1.0\n", + " (13, 10)\t1.0\n", + " (13, 12)\t1.0\n", + " (14, 2)\t1.0\n", + " (14, 6)\t1.0\n", + " (14, 8)\t1.0\n", + " (14, 11)\t1.0\n", + "Train set accuracy with Decision Tree: 0.73\n" + ] + }, + { + "data": { + "text/plain": [ + "0" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Common imports\n", "import numpy as np\n", @@ -1400,10 +1516,7 @@ }, { "cell_type": "markdown", - "id": "a745025b", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Computing the Gini Factor\n", "\n", @@ -1417,13 +1530,73 @@ }, { "cell_type": "code", - "execution_count": 8, - "id": "98d2dd6d", - "metadata": { - "collapsed": false, - "editable": true - }, - "outputs": [], + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "X1 < 0.000 Gini=0.408\n", + "X1 < 0.000 Gini=0.408\n", + "X1 < 1.000 Gini=0.394\n", + "X1 < 2.000 Gini=0.394\n", + "X1 < 2.000 Gini=0.394\n", + "X1 < 2.000 Gini=0.394\n", + "X1 < 1.000 Gini=0.394\n", + "X1 < 0.000 Gini=0.408\n", + "X1 < 0.000 Gini=0.408\n", + "X1 < 2.000 Gini=0.394\n", + "X1 < 0.000 Gini=0.408\n", + "X1 < 1.000 Gini=0.394\n", + "X1 < 1.000 Gini=0.394\n", + "X1 < 2.000 Gini=0.394\n", + "X2 < 0.000 Gini=0.408\n", + "X2 < 0.000 Gini=0.408\n", + "X2 < 0.000 Gini=0.408\n", + "X2 < 1.000 Gini=0.407\n", + "X2 < 2.000 Gini=0.407\n", + "X2 < 2.000 Gini=0.407\n", + "X2 < 2.000 Gini=0.407\n", + "X2 < 1.000 Gini=0.407\n", + "X2 < 2.000 Gini=0.407\n", + "X2 < 1.000 Gini=0.407\n", + "X2 < 1.000 Gini=0.407\n", + "X2 < 1.000 Gini=0.407\n", + "X2 < 0.000 Gini=0.408\n", + "X2 < 1.000 Gini=0.407\n", + "X3 < 0.000 Gini=0.408\n", + "X3 < 0.000 Gini=0.408\n", + "X3 < 0.000 Gini=0.408\n", + "X3 < 0.000 Gini=0.408\n", + "X3 < 1.000 Gini=0.367\n", + "X3 < 1.000 Gini=0.367\n", + "X3 < 1.000 Gini=0.367\n", + "X3 < 0.000 Gini=0.408\n", + "X3 < 1.000 Gini=0.367\n", + "X3 < 1.000 Gini=0.367\n", + "X3 < 1.000 Gini=0.367\n", + "X3 < 0.000 Gini=0.408\n", + "X3 < 1.000 Gini=0.367\n", + "X3 < 0.000 Gini=0.408\n", + "X4 < 0.000 Gini=0.408\n", + "X4 < 1.000 Gini=0.405\n", + "X4 < 0.000 Gini=0.408\n", + "X4 < 0.000 Gini=0.408\n", + "X4 < 0.000 Gini=0.408\n", + "X4 < 1.000 Gini=0.405\n", + "X4 < 1.000 Gini=0.405\n", + "X4 < 0.000 Gini=0.408\n", + "X4 < 0.000 Gini=0.408\n", + "X4 < 0.000 Gini=0.408\n", + "X4 < 1.000 Gini=0.405\n", + "X4 < 1.000 Gini=0.405\n", + "X4 < 0.000 Gini=0.408\n", + "X4 < 1.000 Gini=0.405\n", + "Split: [X3 < 1.000]\n" + ] + } + ], "source": [ "# Split a dataset based on an attribute and an attribute value\n", "def test_split(index, value, dataset):\n", @@ -1489,10 +1662,7 @@ }, { "cell_type": "markdown", - "id": "24b51750", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Entropy and the ID3 algorithm\n", "\n", @@ -1528,23 +1698,45 @@ }, { "cell_type": "markdown", - "id": "21273ec4", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Cancer Data again now with Decision Trees and other Methods" ] }, { "cell_type": "code", - "execution_count": 9, - "id": "7bd0db2a", - "metadata": { - "collapsed": false, - "editable": true - }, - "outputs": [], + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(426, 30)\n", + "(143, 30)\n", + "Test set accuracy with Logistic Regression: 0.95\n", + "Test set accuracy with SVM: 0.63\n", + "Test set accuracy with Decision Trees: 0.90\n", + "Test set accuracy Logistic Regression with scaled data: 0.96\n", + "Test set accuracy SVM with scaled data: 0.96\n", + "Test set accuracy with Decision Trees and scaled data: 0.89\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/linear_model/_logistic.py:762: ConvergenceWarning: lbfgs failed to converge (status=1):\n", + "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n", + "\n", + "Increase the number of iterations (max_iter) or scale the data as shown in:\n", + " https://scikit-learn.org/stable/modules/preprocessing.html\n", + "Please also refer to the documentation for alternative solver options:\n", + " https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n", + " n_iter_i = _check_optimize_result(\n" + ] + } + ], "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np\n", @@ -1591,23 +1783,29 @@ }, { "cell_type": "markdown", - "id": "27e24126", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Another example, the moons again" ] }, { "cell_type": "code", - "execution_count": 10, - "id": "739898df", - "metadata": { - "collapsed": false, - "editable": true - }, - "outputs": [], + "execution_count": 40, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAqYAAAEjCAYAAADg7sNpAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nO3deZhcZZ33//e3l3S6k07IRofOQhNMQIiGJRAkEaKIiBsK6swjqLgMowjjxiOgIAg84jAq7jooiCIzRocgjLgOPyWATCAgCQSzkNBJSJPO0iFLk3TS3ffvj3M6qVSfqq71LFWf13XVldSpU1Xfru7+9H3OuRdzziEiIiIiErWaqAsQEREREQE1TEVEREQkJtQwFREREZFYUMNURERERGJBDVMRERERiQU1TEVEREQkFtQwlZyZ2cVm5szsZTMbk/ZYnf/Y9RGVlxczO8zMrjezk/J8Xt5fo5l92szOD9h+vZlpvjYRERGfGqZSiNHAlVEXUaTDgOuAvBqmwOuAH+f5nE8Dgxqm/uu8Ls/XEpEY8w9e3xN1HeVmZnea2W+S/F5mdomZrTez/qScVKkGaphKIf4IXG5mE8N8UzNrCPP9gt7bOfe/zrkXS/GazrkXnXP/W4rXEpHYOAL476iLkOz8q37fA/4NmAR8LYT3/IJ/4PLdcr9XkqlhKoW4yf/3i0PtaGanmtn/mNluM+s2swfN7NQcnne9/ws808z+YGa7gV/6jzWZ2b+a2Qtmts//94tmVpPy/JFm9h3/aLjHzDr9Oo41szbgBX/XH/nv48zsYv+5fzGzR8zsHWb2NzPrAS71Hxt0Kd/MZpnZvWa2zcz2mNlKM7vaf6wdOBK4MOV97kz9GtNea5SZfdfMOvy6V5rZZ8zMUvaZ77/OO/19t5rZFjP7uZkdlvZ6nzKzv/t1bTezJWb27qE+fxEpjHNuk3OuJ+o6ZEhHAnXAb5xzLznndpfzzczsNOCfgGXlfJ9KoIapFOIl4LvAJWZ2ZKadzOy1wEPAGOBi4IPAKOAhM5uV43vd57/GO4FbzawO+APwMeBbwLl4l8SvxTvyHXAr8D7gy8DZwMeBp/Eu4b/EwUvrN+NdTn8d8EDK82cA3wa+A5wDPJjhazwVeAw4GvgM8DbgG8Bkf5d3A5v8mgfe58YMr1Xj1/Bh4OvAO4Df+6/3/wKe8i3AAe8HbgAu8LcNvN6F/uv8J/BW4ELgv4CxQe8vIgf5B6g/MLOvm1mXf/D3KTNrMLPv+X3t15vZB9Ked+BSvpm1+fcvMLM/mdkrZvacmZ2dYw31ZvbtlAPVDWb21ZTHLzKzJ8xsl5ltNrNfmdmklMcHDmLPNbMn/QPUh81sspmdaWZL/ZMGvzGzcSnPu9Pfdo1/UL/bzH5iZo1ZajUz+7yZrfHf5xkzuyhtny+Z2Tr/a9lkZj/L5XMo8L2+6h/Y7zGzdjO7xcyG+49dDPzN33Wt/xm1FVJLjvWOBu4GPgpsL9f7VAznnG665XTDa1w64FV4jZuXgTv8x+r8x65P2f+//H0OS9k2CugCFg7xXtf7r/eptO0f8Lefkbb9i8A+4HD//rPAN7K8fpv/Oh8LeOwvQD9wQsBj6V/jImAD0JTlvdqBn2f6GlPuv91//YvT9vsx0AOM9+/P9/f7adp+3wX2ApZy/6mof2500y2JNz8Hdvq/p9OBz/m/d78DPuXn4I3+72ZryvMc8B7//wM5swLvQHM68FNgGzAyhxo+5+fLGcBU4HTgwymPfwTvoHMacCrwZ2BRyuMDWfE48HrgtX42Pop3sD0HmI13Bek7Kc+7E9gF/AqYiXdwvhH4dto+v0m5//+AlcBbgKPwDpi7gbf5j1/gf55v87+W2cBlOX4v8novf59rgbn+9+CtwHrgRv+xRv9rcsApwESgNsN7/w7Yne2WQ/0LgH9N+bn6btQ/33G+RV6Absm5kdIw9e9fC/QCxxDcMN1McIPsTmDbEO91vf96U9O2343X0KtLu53i7/9Of7+f4DWAv+AHYG3a67SRvWG6NkNdB75GoAnoA746xNfSnuFzuJ5DG6a3+K/XkLbffP9935F2/31p+/2zv32if/9DeA3s7wBvIkvjWTfddDv05ufAYyn3DdgC3J+yrR7vgPg9KduCGqb/nPL4JH/bvBxq+DZeA9JyrPlY/7Un+/cHsuKclH0u87edlLLteuDZlPt34p1UGJmy7SK8RviIlH1+4/9/BLAHeH1aPd8Efuv//7N4jcn6Ar4Xeb1Xhtf4OPB8yv3Z/ufQNsR7T8I7CMl4G+L5/wQ8CQxL+blSwzTLrQ6Rwt0KXI53GfnCgMfH4l02T7cJ7/J+LtKffzhe36D9GfYfuBx1uf8+H8E7uu7yLxt90Tn3SgHvG2QMXneYkgyGwvu8utzg/mmbUh5P1ZV2f+B5w/1/f+b//6N4fWT3m9lvgc8659pLUrFIZTvQH9A558xsM/BMyrb9ZrYdL5dyeh2gw/93qOeA1yD7E7DKzP4I/Bb4nXOuH8C86e6uA07Ay4eBvuhTOTSXUt+/0//3mbRt6fUsc4f2u3wMGIbXbSm9n+RxeFnz+7R+8/V4B+bgnX39FPCCmf0Br5vS/QF5N5Rc3gu/O8Wn8RqPI4Fa/5YX59zGfJ+TUsMxwFfwGtH7Cn2daqOGqRTMObfbzG7G68f4bwG7dOFdIkk3kcGNqoxvk3Z/G95lp/dl2L99oDbgauBqvx/se4Cv4p3dyGWqq1zmF92Od0Zy0lA75qgLGGtmw9JCbOAz3JbPiznv8PzfgX83bwTqm/G+VwvwLuGJSHbpB8Auw7ahxmsceI7fwCWH5+Cce8rv+/gW4I143QCW+n1UG/H6rv8PXhenzcB44GG8BmSmr8P5r52+rZgxJwPPfQfeJfNB7+2c2+A31M7Cu4LzdeA6M5vjnOsu5Xv5A41+gTfG4DN4Z3/fSQEj783sd3jdIDJyzo3M8NDr8L4nz9rB8au1wBlm9nG8s88aKJdGDVMp1vfxLtHcFPDYQ8DbzKzZObcLwMya8QLlLwW+3+/x+irtds6tyOUJzrl1wNf9wUAz/c0DYZCxM38Or/uKmT0CXGRmNzjn9mTYtSfH93kI+L/Ae/G6LAy4EK9BXfDUUs657cACM5uDd8lfRBLAz85fAb8yb0aP/8U7C9iM1+j5gnPuBQALWMijCK8xsxEpjcbT8HJoTcC+z+Hl3JHOuf8v0ws65/biDfB8wB/EtQmvH+gf86grl/eaC2x0zh0YaJptoO4QPkbhfyd+DSxJ2/YTYDXemVSdRQ2ghqkUxTnXY2Y3ALcFPHwj3oCeB83sX/GOyq/E65t5Q4FveTfeqPUHzezrwFIOXl56J/Auv8H4GHA/3uWq3cCZwCy8Mw7gXbraBvyjmS3D6zj/gnMur7OSwBV4DcrH/HpexBuIcIJz7nJ/n+eA15vZ2/GCeGuGS+m/Ax4BfmhmE4DleJ32Pwbc7Jzbmk9hZnYb3gCGx/DOpszAO7OSzx8BEYmImX0Wr1vR03hnA9+PN4DoRby+lj3AZWb2PeDVZJjxo0B1wB1+vrfiXXH6UdDZTefcLjP7GvA1804NLsK7fH4a0O+cu80fCV8HLMbL5H/wv6bV+RSVy3sBq4BJ/smIx/AGOv2ffD8A//0KvpTvnHsZ72ztAWbWjddl69lCX7fSqWEqpfATvDN901M3OueWmdl8vD6eP8Xr//S/wJnOuaWFvJHfp+sc4CrgErwRmd14R/EPcPAIdBHe5f6r8H7O1wKfcc5923+dfjP7GN5R6//4+3wYr09XPvU8YWZz8Rra3wEagHV4n8mAq4Ef4c3D2oj3WVwc8Fr9ZvY2v6Yr8frLtuOdkf5mPnX5HsX7mj6At1pXB/BzvD5pIhJ/uziYrQ5viqNz/X7yr5jZh/Dy4pN4/T4/i3dVqRQewjs4/jPeyYR7gM9n2f9avAP+K4Af4DWgn8Yb1AleA+1KvMvp9XgH7OcPnO3NU9b3cs79t5n9G15uNuIdjH8J7wqfxNzAtDIiIiIi+F0Gxjvn3h51LVJ9NMG+iIiIiMRC5A1TM7vMvGUSe/yjtEz7XWxmff4KFAO3+eFVKiISH8rO5DOzH6Z9X1JvP4y6vjCY2dQsn8FuM5sadY0Srjj0Me3AG9F9DkOPfHvMOTev/CWJiMSesjP5vkTmKYx2hllIKufcxSG+XQfePKzZHpcqEnnD1Dm3EMDMZnNwfXEREclC2Zl8zrnNeDNmVC3nXC/wfNR1SHxE3jDN04lmthVvIvK78KbQ6Q3a0cwuwRu1zYgRTScfe+yrwquyCvX09PDyy9vZs7cGN2y/N/5+Xx0NdY5Ro0YwcmRz1CUWxTlHV9dWursdfbV9DGusZcLYCfT397Olayv79zrqHTQ11TFu3Pioy83q5Ze309Ozlz1763DD9jOqeSTNCf/+ROWZJ5/Z6pybEHUdOVB2ihRpz5497Nixgz09NVhDL2MPG8Pw4cOHfqIMki07k9QwXYQ3Ofo64Hi81Wt6gZuDdvbnMrsNYPbsWe7xx/8QUpnVadmyJ1mw4Jes2DAOjlqHGfRtHseUuhrmzWvjfe+7OOoSi7J3716+9a0bWbZsHHuPXMeoccO56XM30fVyFzf/4Kv0bK1jzI6xnH76CD7ykX+Jutys7r9/AUuXPs3TK8ZjR7dz4mtey8XvvTjqshJpau3UdVHXkANlp0gJPPTQH3jggUU8v2UENUd28O63nMf80+ZHXVYiZcvOyAc/5co5t9Y594Jzrt859wzevJHvibouEZE4U3aKSJIkpmEawOFdMBYRkdwpO0UktiJvmJpZnZkNB2qBWjMbbmaDuhiY2blm1uL//1i8lR/uC7daEZF4UHaKSCWKvGEKXAPswVs68iL//9ekzG02MIfZWcAyf53Z3wIL8ZZiExGpRspOEak4kQ9+cs5dD1yf4eGRKftdgbcurohI1VN2ikglisMZUxERERERNUxFREREJB7UMBURERGRWFDDVERERERiQQ1TEREREYkFNUxFREREJBbUMBURERGRWFDDVERERERiQQ1TEREREYmFyFd+kvx0di6kvf1meno20tAwiba2q2lpOT/qskREYk3ZKZIMapgmSGfnQlavvoL+/j0A9PS8yOrV3kqDClgRkWDKTpHk0KX8BGlvv/lAsA7o799De/vNEVUkIhJ/yk6R5FDDNEF6ejbmtV1ERJSdIkmihmmCNDRMymu7iIgoO0WSRA3TBGlru5qamsZDttXUNNLWdnVEFYWrs3MhixefwqJFrSxefAqdnQujLklEEkDZqeyU5NDgpwQZ6KRfjSNLNXhBRAql7FR2SnKoYZowLS3nV2WYZBu8UI2fh4jkR9l5kLJT4kwNUxkkjvP9afCCiMSdslOkeOpjKocYuOzT0/Mi4A5c9om6T5IGL4hInCk7RUpDDVM5RFzn+4tq8MLAoIHHH5/GiScu4Oijnyvr+4lIMik7D6UBV1IoXcqXQ8T1sk8UgxfSBw0MH97NmWf+gf3PncymfceU7X1FJHmUnQdpwJUUQw1TOURDwyT/UtTg7RBtH6qwBy8EnQGpr+9l7oxnuOdZNUxF5KBs2Rl139M4ZKcGXEmudClfDpHtsk9c+1CVS6YzHc3DXwm5EhGJu0zZOWbMWVWVmxDfs8eSDGqYyiFaWs5n+vSv0dAwGTAaGiYzffrXaGk5P7Z9qMol0+CAXXubQq5EROIuU3Zu3/5gVeUmaMCVFEeX8mWQTJd9sh0FNzYGPpRobW1XH9JPCmD//joeXfWaCKsSkbgKys6VKy8L3LeSzx4GZWc1rbQlxdEZU8lZtR0Fp58B2bt3BA89dA6rXjoy6tJEJCGqLTch+5U3kaHojKnkLNtRcGdnhIWV0cAZkL179/Ktb93ImjXj4Mh1UZclIglRrWcPq3WlLSmezphKznQULCKSH+WmSH50xlTyoqNgEZH8KDdFcqczpiIiIiISC2qYioiIiEgsqGEqIiIiIrGgPqYVIuol70REkkjZKRIvaphWgIGlQgemIxlY8g5IVMDqD4SIhEnZKRI/kV/KN7PLzGyJmfWY2Z1D7PsZM9tkZjvM7A4zawipzFirhKVCB/5AVNN60iLFUHYWT9kpEj+RN0yBDuAm4I5sO5nZOcBVwFlAGzAN+HK5i0uCbEuFJkW+fyA6OxeyePEpLFrUyuLFpyiEpRopO4uk7FR2SvxE3jB1zi10zv0a2DbErh8CbnfOLXfObQduBC4ud31JUAlL3uXzB0JnCESUnaWg7FR2SvxE3jDNw/HA0pT7S4EWMxsXtLOZXeJf5lqyZctQuZ1sbW1XU1PTeMi2pC15l88fiFzPEOjMgAig7MxI2Tk4O5WbErUkNUxHAjtS7g/8vzloZ+fcbc652c652RMmBOZvxaiEJe/y+QORyxkCnRkQOUDZmYGy89Dtyk2JgySNyt8NjEq5P/D/XRHUUlKlGFGZ9CXvBmrP5XNoaJjkB+fg7QOynRlI8uckUgBlZxbKzoPZqdyUOEhSw3Q5MAv4pX9/FtDpnEv0taZKma6kFHL9A9HWdvUhnxkMPkNQCYMaREpE2VnhSpWdyk2Jg8gbpmZW59dRC9Sa2XCg1znXm7brz4A7zexu4CXgGuDOMGstxFBH9HE7Qi30DMRZZ72erq63Ddre2LiDefN+UNIaczlDkMtZVZEkq+TszCWHKiU7J04cxZYtTYO2t7T00dGxpaQ1DpWdyk2Jg8gbpngheV3K/YuAL5vZHcBzwHHOufXOud+b2S3An4FG4J6058VOLkf0cTpCLfQMRGfnQrq6Lg18bM+e0aUvlKHPEORyVlUk4SoyO3PNoUrJzi1bgrOzs7O29IWSPTuVmxIHkQ9+cs5d75yztNv1fqCOdM6tT9n3G865FufcKOfch51zPVHWPpRcRkDGabqSQiebjuNk1JUwqEEkm0rNzlxzSNlZespNiYM4nDGtWLkc0cfpCLXQMxBDPd7S8gVWrVrBjBlfLbi2QiR9UININco1h6ohOxctmszEiReFmp3KTYla5GdMK1kuR/RxOkIt9AzEUI+bOTZt+imrVl1VcG2g+fVEqkGuOVQN2Ql9yk6pOmqYllGu88u1tJzPnDlPcMYZHcyZ80RgsIYRLIVONp3rGYpNm35ecG2aX0+kOuSTQ8rOoSk7JWnUMC2jUh3RhxUsxdQ7Zkxnhu2bUu71FVxboX24RCRZSnkmNAnZOXasslMklfqYllkp+uuEOS1KvvUOBP/ChZ88sM05MAvau/BRpnEagSsi5VWqfo5JyM577vnk0DsrO6WK6IxpAsQ5WIKC38xrnKabOPGigt8nTiNwRSQZkpadmSg7pZqoYZoAcQ6WbAHf3284B84ZEyd+qKiRpYX24RKR6pXU7Dx4hrRW2SlVR5fyEyBoWhSAvr5uOjsXRjq1R6aVQnbtbeT2+y5iSl0N8+a1ceaZFxf1PvmsBx21UqzfLSLFS2J2NjRMZs6cJ0r2PspOSRo1TBNg4Bfz+eevoa9v+4Htvb3bI18bOij49/fV8te1x5f8vZIwv97IkctZvfqbWr9bJAaSlp3lOpOZhOwsdPUsqTy6lJ8QLS3nU1c3YtD2qEdXDoxGNZuAc7BzVzP/8/cTWdU5NbKaClWKaWXGjfuLRsCKxEjcszMO87AWo1TTcWn2ABmgM6YJEmZH/n379nHffb/gxRfbc9q/r+/ddHT00767DjtiM1YD1rCX7l2jef75Vdx66w0lr7EUhg1r4K1vvYCmpmVZj9a3bv01J564gNNO62bX3iae6jgp8PXq6nYGbo/DYAuRahVmdu7YsZ177vk5O3ZsH3pnAN5x4H9//euzwLMlr6kcmptH88Y3HkZHx5eznuXM9fJ8nAeqSbjUME2QzH2SStuRf9u2Lfz0p7ex9Jkaunsbcn5e/+gdWEsXw+obGDGyie1929le28uTKw7HXOD8UZGrxWhv/ynveMe9QOaj9fb2LzB8uPf4qMZXmNf2GLs674WGMw95Tm/vKOrrBzdO4zDYQqRahZWda9as5K677mLV2mb2udyzM4nqrYcpU26ksTHzdFz5XJ4P63sk8aeGaYLk0yep0E7kmzZt5Pbbv8uyv49h/5SNWF0v5NimNGDsuLFc/sFP0jyimR/91+2sWrkK17aBgNmjYqHXwZrN43FuW+Dcqz09GwMvMdXV9tHVfgvNxxzaMN22bT6trX+KxfrdIuIJIzuXLXuSBQv+ixXrR+OmbsBq45p6pdHTbwwf3h38mH+WM595ZMPscyvxpoZpguQ6urKYTuSrV69g505jf30fNcN6mdw6ibbJbTnVN6p5FG943RsYVj8MgEv/z8d5YtkTrHtxXT5fZmj29+7nqWefZt/oXXR3NzNy5K5B+3hH8cGXknp7OgZt2737eKZPP0cjS0ViJIzsfO65pezc2UB/czd1w4wZ06YzYeyEMnw10et6uYsVz69k1ysjGDVicON04CxnPpfnkzR7gJSXGqYJk8voylKsdmIAZpw08yTOmntWQbWaGafOOpVTZ51a0PPLraenh2UrnmGf9bNkyTxe//o/UVvbe+DxgaN1LygHX2Kqa2gNfN0kjIAVqTZhZOfAVRcz4+x5ZzP9qOkF1xtn615cx8q1q3n02ZM5++S/Ulc3ODch/8vzyk4BjcqvSOpEnr+1a1/NCy+cEThCNmiC6t6+Wsa2fT6aYkWkLJSd+Vm54Wgef3w+vb2jCZpZQJP7SyF0xrQCqRN5Ybq6pjNnzt2Dtre0nM/+/ft47rlraGg4OCr/o294N10vd0VQqYiUg7Izf+vXz6C19XQ++MFPDHpMl+elEGqYViB1Is/N69ra2Lr554dsu/JKaGnpo6NjyyHbx49/F3/72zMsWzaOvUeuY9S44WGWKiIhUHbm5ryTT6Vr64ID9//93+HDHw7OTl2el3ypYVqBdJSam62bg3/8OztrA7eLSGVTduama+uwwO3KTikFNUzLKMp1f3WUKiJJpewUqV5qmJaJ1v0tzMmtrWwJOOqe0NLHkx2Dp2cSkcqi7CyMslMqhUbll4nW/S1MULBm2y4ilUXZWRhlp1QKNUzLRNOOiIjkT9kpUt3UMC2TTNOLaNqR+Bh/eG/g9paWvpArEZEBys74Gzt+X+B2ZaeUgvqYlommHYm/x9rbue6b1/NKVz/NnUcwc2Y3V1xxfUleO8rBGyJJpuyMv/uefJxv/eQ77N8ygom9jZx22vjAeUwLoewUNUzLRNOOVC8N3hApnLKzeik7BdQwLStNO5K/CS19GUeWJkWx622LVDtlZ/6UnVIp1DCVWKmEaU00eMOj6WtEwlMJv1PKTuUmaPCTSMlp8IZH09eISD6UncpNUMNUpOTa2q6mpqbxkG0avCEikp2yU0CX8kVKToM3RETyp+wUUMNUpCxKMXijVNOmpL9Off189KsvInEU5+yEtxZVl+RGl/JFYmhg2pSenhcBd2DalM7OhUW/TlPTAiZMWFOWukVEolTO7IQ7aW1VdpZbLBqmZjbWzO41s24zW2dm78+w38Vm1mdmu1Nu80MuV6TsSrVeeNDrmO1n2rSniq5xKJmmqUnS9DVxp+wUOVR5s3Mfxx67pOgas1Fuxud63veAfUALcALwgJktdc4tD9j3MefcvFCr82lFCglLqaZNybR/Q0N33jXlq1qmNolY7LNTuSlhKnd2NjaWNzuVmzFomJrZCOACYKZzbjfwiJndD3wAuCrS4lJoRQoJU0PDJP/S0eDtpXidnp4RBddWiELn5tOcfpklITuVmxK2cmfnnj3xz86k52YcLuXPAPqcc6tSti0Fjs+w/4lmttXMVpnZtWYW2Lg2s0vMbImZLdmyZVvRRZbq8oBILko1bUrQ6zhXz9q1JxVdYz4KnZsvijn9Tm5tZWrtlEG3k1tby/aeBYp9dio3JWzlzc5hrFgxu+ga81FIBkY1F2qpsjPyM6bASGBH2rYdQHPAvouAmcA6vPBdAPQCg1LOOXcbcBvA7NmzXLFFakUKCVOppk0Jep2urvls2RKHX/14StAE17HPTuWmhK2c2bl371vp6Ogtec2VolTZGYe/TruBUWnbRgG70nd0zq1NufuMmd0A/F8CwrXUSnV5QOJp2rS/M2vWwyxadFts+sGVar3w9Ne5//4FwNNFv27cJP3yVQFin53Kzcp2zJQ1nDHzKZqadrN48R2xyE0oX3Y+9NAf8I7xKkvcsjMODdNVQJ2ZTXfOrfa3zQKCOu+nc4CVrbIUbW1XH9JXCrQiRaWY0drO3JlPUF/vHQln6gf3la98g927Rx+4/7PPA0xh+Mgf8JaPXR5myRIgQWc6SyX22ancrFzTJ6zjDTOWUF/njRbP1n+4tXUCnQG/hy0tfXR0bCl/sZJV3LIz8j6mzrluYCFwg5mNMLO5wHnAXen7mtm5Ztbi//9Y4FrgvjDqbGk5n+nTv0ZDw2TAaGiYzPTpX4vF0aEUZ+4xSw80SgcE9YNLbZSm2rv7sLLVJpJJErJTuVm5Tpv2zIFG6YBM/YeDGqXZtkt1i8MZU4BLgTuAzcA24BPOueVmNhV4DjjOObceOAu408xGAp3Az4GvhFVkqS4PSLw0N74SuL2n50UWLz6Fnp6NDBvWCgy+JCm5mdDSl/FSUTmeV0Vin53KzcrU3JApNzcGrJi0IdziKkghGZj03IxFw9Q51wW8K2D7erwO/gP3rwCuCLE0qQK79jQxqikoZO1A/7h9+zRYoxiF9lOKon9TkkJd2SlR2dXTxKjhg3OztvawQVOESeEKycCo+tSXKjtj0TAVicrR416grnY/zoEd0uPO8LrhSZSi6JRfoQOlREqqfesRvGbSmkNys6amETPo69uT+YkSiiRnZ059TM2s0cxeNLP1ZtaQ9tiP/aXu/rEkFYWos3MhixefwqJFrSxefErgWrq57CPJ1L31fl5/9GKaGvYfEq51dWNQozQe8umUH8el/Ko1O5Wbla1v1x959RHtgw7mDz/8ffT2vhxVWZIiydmZ0xlT59weM7sO+DFen6ZbAczsZuCjwCedc78oW5VlkMuKJFq1JHdxm24iFzs3fJ362sG/eLW1I6itHTHoEtSYMZvYvn3ioP2Hj1QQx0Ecf86qMTuVm/lJYna67Z96BUUAAB1qSURBVLcFZKdj+/YHA6cIy5SdLTHsHlON4vZzls+o/DvxpiG52sxGmtmn8Za9u8459/1yFFdOuaxIolVLche36SYGZFuJom/fS4HP6enZGLjqx69+NZkvfvHtvOvKf+CDt3yI9X0beHrbUs676hNhfCmSXHdSRdmp3MxPErOT3s2Bz8mUnb/+9TQ6Or5PX9+mQ26aKkqC5Nwwdc714YXpBODXwDeA7zjnbihTbWWVy4okpV61RJe3wpct9GuHHRH4WEPDpEHT3AwbNok1a+axZs1xZaxWKlG1ZadyszJkbTDXHR74WFB2aoowyVde85g6534DPIU39cgC4FOpj5tZg5n9yMzWmtluM1vtnx2InUwrj6Ruz2WfXA1c3vIucbgDl7cUstEZNeVz7O87NHxTJ/9uaTmfOXOe4IwzOjjhhEfYtu3oKMqUClBN2ancrHw25pKcs3POnCfUKJW85NUwNbP3ASf4d3c559JHiNQBm4A34y2N9168y1f/UGyhpRZ0uSF9RZJc9smVLm/Fz4jx7+ThNXPY+UoTzkFPz0gd2cdM3DrlF6qaslO5Wflqm9/Mn1fOZmf3CJyD3t7Rys6YSXJ25jxdlJm9GW9FkXuB/cBHzOxW59zfB/bxVyK5NuVpT5vZA8BcvLMEsTHwC5Q6CXD6Or+57JOrUl/ekuwyDShIt2bbUTyz+kiaO49g5sxuzj47+/f26KOf49S5f6Z5+CusW/wgww7/ZKlKlgBx65RfiGrLTuVmsuWanau3HMlzzx3HxN5GTjttPG98Y/bvb/qk+4X+TEhukpydOTVMzWwO3tJ3jwIXApOBC4CbCZjcOeV5dcA84JaiKy2DXFYkKdWqJUEjFQe2V4K4TUpejoED48atYfbsRw8sX9rbs5HeF2/gVeNPYPnWV5X8/cKWxNHBcVet2anczF01ZGelz9Sg7CytIRumZvZq4AFgFfAu51wPsMbMbgc+bmZznXOPZnj6t4EdwM9KVXBStbVdfcgvJhR+eSuOovzly/UIP1UhoT916pIDjdID3F7mHLmM5SuS3zCN6+jgpFJ2Fq/ScxOqIzuzdcmohIapsrO0svYx9ddb/iNeQJ7rnNuZ8vANwB4yHNGb2dfxjvjPdc7tK025yZVppCKgEadFyveXf33fhkF/DKZN+zuzZt2d9fvQ0NAd+HojM6wZHTaNXo4PZWdpKDfLqxTZOXXqKiZP/lbW70Xcu2QoO+Ml6xlTf73lKRkeewloCnrMzL6JN/r0jc65rcUWWSnSL29V+uWNpJjR2s7cmU8cOBua6fvQ0zOC4cMHN0539wT+GpRdap+t2trD6O/fjXP7Af0sRU3ZWTrKzfg6ZsoaTj35r9TVZc/OuHXJUHbGW16j8nNhZt8G3oQXrJo9NwuNOI2HuccsHXSJPuj7sH79bPbvTzuWs+EsXvfacpc4SPo0On192w8E6wD9LCWLsjM3ys34mDvzyQON0gFB34tSztRQLGVn/JW0YWpmRwKXA68CXvDn49ttZr8r5fsk3cBlg6AjSIjP5Y1KFNQ/qrkx+FJ8+vdh27ajeeihc9i5x5teqq5hEk2Tv8TzW9vKUWpWQX+cg+hnKRmUnbnp7Fyo3IxIYHY2BXdvSv9exGnSfWVn/OU8XVQunHPrACvla1aa9MtQQSppxGnU1vdtGHKfXXuaGNU0uHEa9H1Ys+Y4lveOYNS44dz0uZvoerkLWFaKUvOSa2jm87MUt9HB1UTZObSB7MxEuVlaOWXnKyMYNWJw4zToe1GqmRqKpeyMv5I2TGVoQx2tRXF5I7W/DYyltfV4nt98wpDPi4tiQ+HRlbN4U0ofU4j/yN9MfbZS5fs1aFoTibNs2RnlZeGB7Dz88NFMmXISG16YFnodhSo6O589mbNT+piCslOKp4ZpyLIdrTU0TA590uHBZ3C38ZrXPMqmHY2s7h8ZWh3FKDYUVnW00bjjMF73uodpaOhOxOTPQdPoQD11dSPp7X05EV+DSD6yZWcUl4XTs7Ou7mVOPnkR2/r6WbtvQqi1FKrY7Fy54WhG9w3j1FOfoK5uZyJyR9kZf2qYhizz6MTJzJnzROj1BJ2FqKvrY+7sv7L68TeHXs9QyjWR8dq1r6apaSpXXHF9EdWFp5Sr64gkQbbsjEtfxbq6XubNWsLaJ84NvZ6hlCs716+fQWvr6Xzwg58oprzQKDvjTw3TkMVtwuhMZyGaR+wq+DXLuQqGJjI+KC59tkTCkJjsbNpd0OuVe/UgZedBys54K/l0UZJdnEYnQuYO3ru6mwt+TQWgiJRaYrLzlcK6QCk3RTw6YxqBOB2tBZ2F6O2t5dElp0dYlYjIYPHPzjoeWTo7wqpEkk9nTEsgycuZpZ+FgHE888xcVr1wTNSliUiFq6Ts7O09jCefPIOV618VdWkiiaYzpkWqhOXxUs9CPPzwg3R0PBhxRRJn5e4LJ9Wh0rLzF7+4gw0b1gOau1KCKTtzozOmRQp7ebwkn2EohUzz62ki4/CoL5yUgrIzXMrO6Ck7c6MzpkXKNDKzHMuZhXWG4fvfv5VXXhkNwL03Htye61FdOVfBqMajytRJvAuZ2iT9+fX189GvvkSt0rLz0kv/hR07Dg58uufL3r9xyE1QduabnUHPhRHlLVgA/XUqWua59Uq/PF62MwylbJgONErT5XpUV40BWC7F/kENen5T0wImTDgNVowvX+EiQ6i07ExtlKZSbkajmOzM/NwPlLVm8ahhWqQw59YL8wyDHGrr1l9z4okLOO20bnbtbeKpjpNCed9i/6AGPd9sP9OmPQUPzylprUEy9alKpf5V1UnZWR2KveJTqGKyM9Nz4R7gvBJXGqyas1N9TIsU5tx6mc4klOMMgxzkBesXGD68GzMY1fgK89oeY1fnvWV/72L/oGbar6Ghu+Ca8pHL2SL1r6pOys7KN3Dm0Tsz7g6ceQyjf28x2Zl5n21FVJSfas5OnTEtgbDm1ovbyifVInDpwdo+utpvofmYM8v63sVe7sz0/J6ewvtKlbsvnFQPZWdlC6v7WZBisjPTc2FcUTUpO3OjhmmCaI3faGQ6eu7tKf8llGL/oAY937l61q4tvCtCJV46ksqm7IxGlF0oisnOTM/t67sA6C24JmVnbtQwTZgwzjA0Ne0IHABV+Ud1ji1bOgdtraubSG/vS4O3N7SWvaJi/6AGPb+raz5btuhXX6pLubNz9OjdgQOgKj83MwtzgFu6YrIz03NXrBgBLCpn2YIaphLg0ks/w/Obm7EjN/LOs9/OWXPPirqksqipqaGmpgbqe9hVs4+XXurj1lu/OWi/I454Fccfv5m6uoN/YHr7azm87fNQV0+NGQzv4eWtjhUrOvnSl75UhmrPTfn/0/6tsOf39/exZWsjbtw2MEfDsIZSFBg5TV4tUfr+97/NX/+6ng29fdRP3MGlH/g404+aHnVZkYq6C0UxByNBz12x4g+lKCt24padapimiWoEoYSvvr6eC95yPnff+wt6J3Xwwo5m3Cv1g/b7+/Zj2Nhdy7xZT9Dc1M3uniYaJ15Oc8u7AXjbG97Gvb+/j94pG1m9YzTs6g/ta/jDXV+nZ8/gs9sNjTs45wOfy/Asw5q3YY37GD9uHOe+4dwM+xUvU5+q9H1KQZNXR0vZKeni3IWitXUCnQHZ0NLSR0fHlggqOlQ1Z6capinKOQmzQjueTn7NybS2tPL9n/+QnbU7M+73/N5xrFn8FsaOG8dlH7iUsYeNPfDYGXPOYGrrVH5494/ZU5f5NcohqFE6sL225eWMzzMzZr36BC5694XU1w9ujJeKzlRWB2WnZBLWALd8BTVKs20PWzVnZywapmY2FrgdeDOwFbjaOfcfGfb9DHAl0Ig3qdgnnHM9paijXCMIK2FN6Ep2xOFHcO1lX2Rj50accxn3q62pZdLESdTVDf61aZvSxnWf/iIvbR7cF7WcUlfmSvepj1ye8bHhDcM54vAjMLMyVCVhUXaKSKWJRcMU+B6wD2gBTgAeMLOlzrnlqTuZ2TnAVcAbgQ7gXuDL/railWsEYZRTZkhuhg0bxlFTjirqNRqHNzJt6rQSVVS8ONUiZaPsFJGKEvkE+2Y2ArgAuNY5t9s59whwP8Frf30IuN05t9w5tx24Ebi4VLWUaxJmrToiIqWm7BSRShR5wxSYAfQ551albFsKHB+w7/H+Y6n7tZjZoFlvzewSM1tiZku2bMlttYa2tqupqWk8ZFspRhBq1RGR8ss0EKCCp+tRdopI0eKWnXG4lD8S2JG2bQfQnMO+A/9vJm2tMOfcbcBtALNnz8rccTBFuUYQRj1lhlQurSRyUBUOFlB2ihSopaUv46j8ahO37IxDw3Q3MCpt2yhgVw77Dvw/aN+ClGMEYZynzJBki1ugSKiUnSIFisOUUBIsDg3TVUCdmU13zq32t80Clgfsu9x/7Jcp+3U653K73hShuE6ZISKJpewUkYoTeR9T51w3sBC4wcxGmNlc4DzgroDdfwZ81MyOM7MxwDXAnaEVG5HOzoUsXnwKixa1snjxKXR2Loy6JBGJmLIzO+WmSDJF3jD1XYo3t95m4D/x5tdbbmZTzWy3mU0FcM79HrgF+DOwzr9dF1HNoRiYx89bb9gdmMdPISsiKDsDKTdFkisOl/JxznUB7wrYvh6v037qtm8A38jv9aGvL5kdmtvbv5JhHr+vMH78eSV/P+fCW04zV4Wu4xu39X9FSk3ZGSzs3ASyLs4RlUIysJDnOOcS+XOSr/7++H2PK1EsGqbl1tn5El/96jVRl1GQefM2ErQ4z969G8vyNTnneHnHCFzzTgyorQ1eni3MRl+h6/jGbf3fSqDGfnXZtKk8OVNuYecmQG9vP9t3HoZN2ApATc3gC5Jh//4UkoG5PKempsb7fIfvZUfnKNrb1yXy5yRfzjm2vzwSmr0xg7U1uf8tUXbmrioapt17jaeeHzn0jjE068RmRo0cPHB2V3dz2b4mN64La9rLmDFjOen4kwL3UaOvOun7Xl1e6alJZHZGkZsYuImbsGG9HHnkUUydNHXQLpXy+9Pa0spR045i1crV7GntYNm6w8FVx/LGbtw2rKmHcWPHccJxJ+T8vEr53oehKhqmDNsPU5N5RPJo+zG86dV/o7724GWS/X21PNp+TNm+phqM6TNmcMl7P8awYcPK8h4ikgAJzc4ochOg1mp449yzePtZbws8Y1opamtrufQfP8GfHv4Tv/vLH+mf8lLUJYWmBuOYY4/lYxd8RH8fy6QqGqZjDxvD+ecO6oaVGDv7/srovl9Ryzb6GMfOYe9l5kmnM7NM7zduzDhmzpiJBV0LE5GqcdiowxKbnWHnJkDbpDbaprSV8R3io6amhnPOPIfjph/HmvVroi4nNBPGTOC4Gcfp72MZVUXDdETTCOafNj/qMoowH/hC1EVIHtSfSCpB88jmBGfnfJSb5TeldQpTWqeU7PWUnVK51xqkYhS6jm+U6/9WYn+ik1tboy5BRPJQSAZGvW66slOq4oyplF6Ya7QXepSso+vSyvaHIaw/WiJJFmZuQmEZqNwsPWVnftQwlYIovCSVfh5EhqbfE0mnn4nB1DCV2FOfIxGR/Ck7JYnUMJXYi2ufo2yhLyISNWWnJJEGP4kUKFvoRz2AQEQkrpSdko3OmIqUQSVeJgt74IaIVB9lp6hhKiI5GfiDkX4ZbktnLVNrp4Tab01950QkKZSd+dGlfBHJSxz6rcWhBhGRfMQht+JQw1B0xlRir5yXQeJ89Bjn2kQk/pSdh4pDbTI0NUwl9soZJMUcPZa731ASjmxFJL6Unbltl3hRw1SkQDryFhHJn7JTslEfUxERERGJBZ0xFclgau0UoLT9kiqh71Mcpj6JQw0iEkzZGSwOuRWHGoaihqnIEErZL6kS+j6V449Avn90kvKHSKSaKTsPpezMjRqmUtUyHT3GQdyPbEt5BqMS/uiIVBNlZ+GUndmpYSpVLTUEBi4/xUXcj2wrMRBFJDfKzsIpO7PT4CcRERERiQU1TEVEREQkFtQwFQlRpj5Ocen7JCISR8rO6qE+piIhinvfp6jEfbCCiERL2RmsErNTDVMRXyX+gpdTKT8v/dERSS5lZ36UndmpYSriq8Rf8HLK5fOqhEmxRSQ7/S7nR9mZnRqmIhVmd/dutu/YTt/OP9LX9UPo3Qx1h1M79uPUjnpzqLVs6QyeRmZLZy0bOjaEWouISC52dd5LV/st9PZ0UNfQyti2z9Pc8u5Qa6jmKaXUMBWpIEufW8rP7/0P2sau4axjn6S+1r801NvJ3pdu4sE//47VnVNDrOj0jI98/bZbQ6xDRGRouzrvZcvqq3D9ewDo7dnIltVXAYTeOK1WapiKVID+/n5+/cf7eeixh+jvhdNPWn6wUeqrr+3j9Lbl/P3Z10RU5aF6t4yOugQRkUN0td9yoFE6wPXvoav9FjVMQ6KGqUgFWLdxHY888Qj9PXXUvzSR5qbuwP2am7o5fkx4s8Tdn+WxMOsol2xfn4gkT29PcP/NTNul9NQwFakA+/btwzmH2zmaiYftpa9vNHV1OwbtN3z4ZG666YbQ6rr55syPhVlHudx884+iLkFESqiuoZXeno2B2yUckZ6yMLOxZnavmXWb2Toze3+WfS82sz4z251ymx9iuSKJsWPH2dTUNB6yraamkba2q0OtoyXD9CeZtktulJ0i5TG27fNYWnZaTSNj2z4fah3VvKBA1GdMvwfsA1qAE4AHzGypc255hv0fc87NC606kYTas2cW06e/gfb2m+np2UhDwyTa2q6mpeX8UOvo6NgS6vtVEWWnSBkM9CONelR+pU8JlU1kDVMzGwFcAMx0zu0GHjGz+4EPAFdFVZdUtmqaG66l5fzQG6JSfspOiUI1ZWdzy7s10ClCUV7KnwH0OedWpWxbChyf5TknmtlWM1tlZteaWcaGtZldYmZLzGxJ15auUtUsCZdtbriptVOYWjuFk1vVl0hiTdkpoVN2SliivJQ/EkgfnbEDaM6w/yJgJrAOL4AXAL1A4PAK59xtwG0Ar539WleCeqVKxHUC42xnLP7j4ZURVCQRUXZKLCUxOyvtbG8lKNsZUzP7i5m5DLdHgN3AqLSnjQJ2Bb2ec26tc+4F51y/c+4Z4AbgPeWqX6rbwBmA1FvUZwOqeSWQaqLslCRTdkqxynbG1Dk3P9vjfj+pOjOb7pxb7W+eBWTqvD/oLQArvEKR/CjEJAzKTqk0yk7JR2R9TJ1z3cBC4AYzG2Fmc4HzgLuC9jezc82sxf//scC1wH1h1SsiEgfKThGpZFEvvXIp0AhsBv4T+MTAdCdmNtWfb29gYe+zgGVm1g38Fi+YvxJBzZJg1TAHnFQFZaeEStkpYYl0HlPnXBfwrgyPrcfr5D9w/wrgipBKkwqV2tF9au2UCCsRKZyyU8Km7JSwRH3GVERyVM0rgYiIFErZmSxRr/wkkhhRh1i2aU1WrgmxEBGRPMQ5OyV+1DCVqjWhpU9z24mI5EnZKeWkhqlUraQFaKZJoj1TgDfR0LiDf/rolWGWJSJVprKy06NGdXyoj6lIQuQyF2DPntEhVCIikhy5ZKfmWo0PNUxFREREJBbUMBURERGRWFDDVERERERiQQ1TEREREYkFNUxFEiKXuQAbGneEUImISHLkkp1Rz7UqB2m6KJGEyD7B/kp+ePdt7N90GDreFBE5SNNAJYv+gomIiIhILKhhKiIiIiKxoIapiIiIiMSCGqYiIiIiEgtqmIqIiIhILKhhKiIiIiKxoIapiIiIiMSCGqYiIiIiEgtqmIqIiIhILGjlJ6lYJ7e2sqWzdtD2CS19WglERCQDZadESWdMpWIFBWu27SIiouyUaKlhKiIiIiKxoIapiIiIiMSCGqYiIiIiEgtqmIqIiIhILKhhKhVrQktfXttFRETZKdHSdFFSsTStiYhI/pSdEiWdMRURERGRWFDDVERERERiQQ1TEREREYkFNUxFREREJBbUMBURERGRWFDDVERERERiIdKGqZldZmZLzKzHzO7MYf/PmNkmM9thZneYWUMIZYqIxIqyU0QqVdRnTDuAm4A7htrRzM4BrgLOAtqAacCXy1mciEhMKTtFpCJF2jB1zi10zv0a2JbD7h8CbnfOLXfObQduBC4uZ30iSdHQ0EBDfSN1roH6eqOmJupjTiknZaeIVKokrfx0PHBfyv2lQIuZjXPODQpnM7sEuMS/u3tq7dSVIdSYi/HA1qiLiCF9LsEK/lwuvPCLJS4lNuL0s3Jk1AXkQNlZ2fS5DKbPJFicPpeM2ZmkhulIYEfK/YH/NxNw1sA5dxtwWwh15cXMljjnZkddR9zocwmmz2UwfSZ5U3ZWMH0ug+kzCZaUz6Vs1/vM7C9m5jLcHingJXcDo1LuD/x/V/HViojEg7JTRKpZ2c6YOufml/gllwOzgF/692cBnUGXokREkkrZKSLVLOrpourMbDhQC9Sa2XAzy9RY/hnwUTM7zszGANcAd4ZUainF7hJZTOhzCabPZbCq/0yUnZJCn8tg+kyCJeJzMedcdG9udj1wXdrmLzvnrjezqcBzwHHOufX+/p8FrgQagXuAjzvnekIsWUQkcspOEalUkTZMRUREREQGaLJDEREREYkFNUxFREREJBbUMI1AvutcVzIzG2tm95pZt5mtM7P3R11T1PTzMZiZNZjZ7f7PyC4z+5uZnRt1XRIu/W54lJvB9PMxWBKzM0kT7FeSgXWuz8EbjFDNvgfsA1qAE4AHzGypc255tGVFSj8fg9UBG4AzgfXAW4FfmtlrnHPtURYmodLvhke5GUw/H4MlLjs1+ClCZnYTMNk5d3HUtUTBzEYA24GZzrlV/ra7gI3OuasiLS4Gqv3nYyhmtgxvJPo9Udci4arm3w3l5tCq+ecjF3HPTl3KlyjNAPoGwtW3FG9tb5GMzKwF7+en2s8QSfVRbkrBkpCdaphKlNLX8Ma/3xxBLZIQZlYP3A381Dm3Iup6REKm3JSCJCU71TAtsTKsc13J0tfwxr+vNbwlkJnVAHfh9a+7LOJypISUnTlTbkrekpSdGvxUYmVY57qSrQLqzGy6c261v20WMb7EINExMwNuxxvw8Vbn3P6IS5ISUnbmTLkpeUladuqMaQTyXOe6YjnnuoGFwA1mNsLM5gLn4R3VVS39fGT0A+DVwDucc3uiLkbCp98N5WY2+vnIKFHZqYZpNK4B9gBXARf5/78m0oqicynetB6bgf8EPqEpT/Tzkc7MjgT+GW9qnE1mttu/XRhxaRIu/W54lJvB9PORJonZqemiRERERCQWdMZURERERGJBDVMRERERiQU1TEVEREQkFtQwFREREZFYUMNURERERGJBDVMRERERiQU1TEVEREQkFtQwFREREZFYUMNURERERGJBDVOpOmbWaGYvmtl6M2tIe+zHZtZnZv8YVX0iInGk7JQwqGEqVcc5twe4DpiCt+Y0AGZ2M/BR4HLn3C8iKk9EJJaUnRIGc85FXYNI6MysFlgKHA5MAz4G3Apc55y7IcraRETiStkp5aaGqVQtM3s78N/Ag8Abge865/4l2qpEROJN2SnlpEv5UrWcc78BngLOAhYAn0rfx8w+aWaPm9leM/tLyCWKiMSOslPKqS7qAkSiYmbvA07w7+5ywZcPXgK+CpwCvC6s2kRE4krZKeWkhqlUJTN7M3AXcC+wH/iImd3qnPt76n7OuYX+/lPDr1JEJF6UnVJuupQvVcfM5gALgUeBC4FrgH7g5ijrEhGJM2WnhEENU6kqZvZq4AFgFfAu51yPc24NcDtwnpnNjbRAEZEYUnZKWNQwlarhX1L6I7ADONc5tzPl4RuAPcAtUdQmIhJXyk4Jk/qYStVwzq3Hmxg66LGXgKZwKxIRiT9lp4RJDVORLMysDu/3pA6oMbPhQL9zbl+0lYmIxJeyUwqlhqlIdtfgLcE3YA/wEDA/kmpERJJB2SkF0cpPIiIiIhILGvwkIiIiIrGghqmIiIiIxIIapiIiIiISC2qYioiIiEgsqGEqIiIiIrGghqmIiIiIxIIapiIiIiISC/8/llFWAs/2i1QAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "from __future__ import division, print_function, unicode_literals\n", "\n", @@ -1677,23 +1875,29 @@ }, { "cell_type": "markdown", - "id": "681cc79f", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Playing around with regions" ] }, { "cell_type": "code", - "execution_count": 11, - "id": "026766c4", - "metadata": { - "collapsed": false, - "editable": true - }, - "outputs": [], + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAqYAAAERCAYAAACpXGXPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nO3df5RdZX3v8fd3ZsgQ8qsEw3AB01lowlX0Yms01FiuFavFVRXDtWWBXGvrZVVKC+3y9hqX1JbW4nJxrdpGumjtD1HR672DBRFs0VrFH0BgGW20CdgmMWBOEhKTSQiZzMz3/jFzwpmTc86cfc7e+3n23p/XWrMW7Nln5puTmW+++3m+z/OYuyMiIiIiEtpA6ABERERERECFqYiIiIhEQoWpiIiIiERBhamIiIiIREGFqYiIiIhEYSh0AHl4znOW++joc0OHIRH7yU8O8JOfTDA5MIkNOosWLWT5Ty0PHZZE7nuPfG+fu68IHUdWlDtFJAuPPPLdtrmzEoXp6OhzeeihL4UOQyJ2112f5e67d/LUqQcYXPYMF738Z7jijVeEDksit3Jw5Y7QMWRJuVNEsjA4+J/a5k5N5YuIiIhIFFSYioiIiEgUVJiKiIiISBRUmIqIiIhIFFSYioiIiEgUVJiKiIiISBRUmIqIiIhIFFSYioiIiEgUVJiKiIiISBRUmIqIiIhIFFSYioiIiEgUoihMzWy5md1pZkfMbIeZXdnh3vPM7AtmNm5m+8zsg3nGKiISC+VOESmbKApTYCMwAYwAVwG3mtkFzTeZ2QLgn4CvAGcB5wKfzDFOEZGYKHeKSKkMhQ7AzBYBlwMvcvfDwANmdhdwNfDuptt/DXjS3T/UcO27uQQqIhIR5U4polptjO3bb+bYsScYHj6H0dENjIysDx2WRCSGEdPVwJS7b2u4thk46akfuAjYbmb3zk5FfdXMXtzqi5rZNWa2ycw27d37VAZhi4gEpdwphVKrjfHYY+/i2LFdgHPs2C4ee+xd1GpjoUOTiMRQmC4GDjZdOwgsaXHvucAVwEeBs4F7gH+Ynaaaw91vc/c17r5mxYozUg5ZRCQ45U4plO3bb2Z6+uica9PTR9m+/eZAEUmMYihMDwNLm64tBcZb3HsUeMDd73X3CeAW4AzgBdmGKCISHeVOKZRjx55IdF2qKYbCdBswZGarGq5dCGxpce93Ac8lKhGRuCl3SqEMD5+T6LpUU/DC1N2PAGPATWa2yMzWAW8Cbm9x+yeBi8zsNWY2CNwA7AN+kFvAIiIRUO6Uohkd3cDAwMI51wYGFjI6uiFQRBKj4IXprGuBhcAe4A7gne6+xcxWmtlhM1sJ4O5bgbcCfwkcYCYJv3F2akpEpGqUOyWxWm2MBx98GV/72tk8+ODLclt8NDKynlWrbmF4+FzAGB4+l1WrbtGqfJkj+HZRAO6+H7isxfWdzDT4N14bY2aUQESk0pQ7Jan6yvj6IqT6yngglwJxZGS9ClHpKJYRUxEREclYGVbGhxrxlXxEMWIqIiIi2Sv6yvjQI76SPY2YioiIVETRV8aXYcRXOlNhKiIiUhFFXxlf9BFfmZ8KUxERkYoo+sr4oo/4yvzUYyoiIlIhsa+Mr9XG2L79Zo4de4Lh4XMYHd1wIt7R0Q1zekyhWCO+Mj+NmIoUVG28xlv+/i3sObwndCgiIqmoL246dmwX4CcWN9VX3hd9xFfmp8JUCq0M24b0WmB+5Osf4aEfPcRHvvaRjCITEclXN4ubRkbWs3btw1x88ZOsXfuwitKSUWEqhTXfk3WwuBIWmr0UmLXxGp/b/Dncnc9t/pxGTUWkFLS4SVSYSiIxjVDGum1IkkKz1wLzI1//CO4OwLRPBxs1VTuBiKRJi5tEhal0LbYRyhifrJMWmr0UmPXvMTE1c8z5xNREsFFTtROIhBXTYEEair6dlfRPhal0LbYRyhifrJMUmr0WmI3foy7EqKnaCUTCim2wIA1a3CQqTEsuzafp2EYoY3uyTlpo9lpgPrrr0RPfo25iaoJHdj3SR/TJxdJOIFJVsQ0W9Kr53ylAi5sqTPuYlljaZwoPD58z+2R+8vUQ6n+Gdvvd5a1Tofn+17//pPt7LTDvu+a+/oPtU7si/PqLr+fMxWcGjk6kGDrt19mN2AYLepH2v1NSfCpMS6zT03Qvv/Axbmwc00bRSQvNGArMXiUtwkVkrjQKstgGC3qR9r9TUnwqTEss7afp2EYoY1PkQjOpWNoJRIoqjYIsxsGCpMow6ivpUmFaYmk+TTdPOZ1//l+oIC2I2niN68auY+PlG1ObZq9SES6ShTQKsjIMFpRh1FfSpcVPJZbW4qAyrvysEm3pJBKftHYVyfMUpCy2poptEauEp8K0xNLadqMsKz+rSFs6icSnVhtjcvJIi88Yx47tSnU/0rSKybQHKGq1Mb75zReydetvzf77YgDaHkpUmJZdGk/T6gEqrry3dNJJUCKd1Qu8qakDLT4787ua1qxUmsVkmgMUtdoY27bdwORk43vgwCnRtSKU7QCDIlBhKvOKcSN7mV+IE6LUNiDSWasCr5U0ZqXSLCbTHKDYvv1m3I+3+MzxqGbi1MYWRhSFqZktN7M7zeyIme0wsyu7eM1XzMzNTAu4MqYeoGLK+4QotQ3kT7mzeJIUcv3OSrUvJnclLq7SHKDo9OeKaSZObWxhRFGYAhuBCWAEuAq41cwuaHezmV2FdhTIjY6IK6a8t3TSSVBBKHcWTJJCrt9ZqU6vTzryl+YARae4YpqJUxtbGMETlJktAi4HXuTuh4EHzOwu4Grg3S3uXwa8D/jvwLfyjLXKYtrIXrqT55ZOOgkqf8qdxdRq71GzU5h5pnt2ejuNWalW36su6Z6paW5NNTq6gW3bbmgxnX9KVDNx2soqjBhGTFcDU+6+reHaZqDdU/+fArcCuzt9UTO7xsw2mdmmvXufSidSOUEN4dIo77YBAZQ7o9NNXmw1A7V69Yc5//wPpz4rVf9e7SQZ+ev3+NTmuFav/jBDQ6efuDY4eDrnn//hqAZA1MYWRvARU2AxcLDp2kFgSfONZrYGWAdcD5zb6Yu6+23AbQBr1lzone6VZHS2sTTTSVBBKHdGJElebDcDlV3+NOor/ht1O/KXRc4vwixcGQ4wKKIYCtPDwNKma0uB8cYLZjYAfAy43t0nzSyn8KSZzjaWZjoJKgjlzojEmhdnFuq0er6wrkf+Yv2z5aEIBXTZxDCVvw0YMrNVDdcuBLY03bcUWAN81sx2Aw/PXt9lZj+ffZhSp4ZwkSgod0YkSV7MsxWqfV72rguuXnK+2r2kV8ELU3c/AowBN5nZIjNbB7wJuL3p1oPA2cBLZj9eP3v9pcCDOYUrdJr+GVASEsmJcmdcut1OKe+9MdvH1bGjo8uv0fq69v+UfgQvTGddCywE9gB3AO909y1mttLMDpvZSp+xu/4B7J19bc3dJ9p9YUlfq4bwGVMoCYnkSrkzEt0ulMl7b8w0FvAk/Rra/1P6EUOPKe6+H7isxfWdzDT4t3rNduqH60qumhvCZzStyK5I/1HaauM1rhu7jo2Xb9Q2SzIv5c54dLtQJumUf68LbxpfOzT0U5idytTUT3pawJN0EZDavaQfURSmUjz1hvBabYytW3+r5T1KQsk1Hun5/te/P3Q4IpJANwtlut0bs5+V8M2vnZw8wMDAQs4//y9yWUWf5f6fe/fW+P73N/f9dSScwcHOk/UqTKUvnaZmtAlxMs1HempzepHyabXpfdIp//kKxNCr6Lv9Myb1yCPf4lOfuo89e1pOBkhBDAx03oVOhan0pdOoqDYhTqbVkZ4xj5qq7UAkuSym/Lu9J69ZrLT3/5yenubOOz/NPV/cyf5Bw85+Ms1wJW/euZNIhWnk0jxtIwvtpmyGhk6PKs7YFfFIT7UdiPQmzSn/tF+bljT3/9yx44c89ND32X/4OQyseoJTFgwxNKTypagGBzv/3elvNmJFOGGp3ZTN8573JwGjKp5OR3rGWPSp7UAkO7XaGFNTR0663u10eFZT6aFMTEwwPW0w4NiAsfZnXsavvuFXQ4clffjUez7R9nOxbBclLRRhy41W5z6nccZz1RTtSM9WbQci0r/6gMTk5IE51wcHT+86tyovS5FpxDRiofuEuqUj2/pXpCM9i9h2IFIUrQYkAIaGFiXe4qmfvBx7G5mUl0ZMI5b0tA2RPHRqOxCR/sQwIKGTmyQkFaYRS+PEjiR0trF0o9e2g9p4jbf8/VvYc3hPluGJFFoMAxJZtJHp3xfplqbyI5b2lhudpLXQStM/5ddr24FW8YvML4aFS2mP2hZhIW9o2n7vWRoxjdzIyHrWrn2Yiy9+krVrH87slziNJ+Q8p3/09F0szav4NWoq0loMC5fSHrUtwkLe0Bof3KtOhakA6Twh55V81P9UPFrFL9K9vAYk2km7jayff19qtTH27r2SX/7lv+Edb72N1SM7e4ohZnpwn0uFqQDpPCHn1bSvp+9iabeKv+rJVyRWaY/a9vrvy7MtAHswg6VLDvGaFz7K8lMe7SmOWOnBfS4VpgKk84ScV9N+DKtWpXtaxS9SPGmO2vb670urQYhTBqc459R7e44lNnpwP5kKUwHaPyEDXfdy5rWLQAyrVqV7RTs8QETS1esIbLvBhgX2kwyiDCPJg3tVdjbRqnw5oXlD5qQrKfPaRaDVqlWAqakj1GpjjIys1+4AXcpjJWiRDg8QkWwk2fC/nr/BW35+wn8qxcjCSvLgXpWdTVSYSludejnbJZheTxtJUkjWrz/++HuZmnr22L7JyQM89ti7OHjwIfbs+T/amqQLVUl0IlIMzQMizY5PDfLEsUt5Yc5xZaXbB/fmBVJlPmlPU/nSVl69nL2ssh8ZWc/Q0KKTrk9PH2X37k9WenFUt9M9WgkqIrFpdySrOxwaX8r93/9Z9h//2QCRhVWlBVIqTAsixL6defVy9rrKvn2BPJXw/myE6gfqdj+8KiU6ESmGTnn6rz95DdtqK3OMJg5VWyClwrQAehlRTKOQzWsxU68js+0L5MGE92cjxIbJ3Y6CVi3RiUgxtMvT7sbv/uYtvH3dF0u3XdR8qraziQrTAkg6opjWBvR5nUDS68hsu8L5rLPemktB3UmoafJuR0FjSnRVWWkqIvNrldcBBgZ8Zi/ThUf56YX/l/HanQGiC6NqO5tEsfjJzJYDHwdeC+wDNrj7p1vc9zbgd4BVwCHg08B73H0yx3Bzl3REsV0h+8MfvjfxSvVeFzMl0evZ0J12AVi27OVBV+W3KhCzXlzUbhS0VZN8TIlOC7B6p9zZWtF25WiO9/TTL+HAgS/3HX/a70Me72tzXp8ZP5vbnjVox9m//YMsGXlzqt87VlXb2SSKwhTYCEwAI8BLgHvMbLO7b2m67zTgBuBBYAVwF/Au4AM5xpq74eFzZkc/T77eSruCdXLyAJOTB2bviWelej/bTLUrnPMoqNtJUiCmqdMoaHPBF0uiq9JK04wodzZJus1daK3i3b377098fr742xWLab8Peb6vjfn7a187u+U9k8eeTPV7lk0eWwFmJfhUvpktAi4HbnT3w+7+ADNJ8+rme939Vnf/urtPuPsTwKeAdflGnL+kvZ7d9lLGtFI99NnQaQo1TR7TKGi3tACrd8qdrRXtyOJ2q9AbtYu/U9tW2u9DqPe13b9nQ8OtC1aZEWKNQ1qCF6bAamDK3bc1XNsMXNDFay8GmkcGADCza8xsk5lt2rv3qRTCDCdpr2e7Hp1Wjh3blcsK/ypJUiCm2V953zX3sfPGnSd9JB0dzavnUwuw+qbc2ULRjizuNq5W93UqFtN+H0K9rzMDMMNzrk35KSwf/f1Mv2+RFX0rwBgK08XAwaZrB4ElnV5kZm8H1gC3tPq8u9/m7mvcfc2KFWekEmhISUYUWxWyg4Ont72/l4VRzUJsZxWrJAVijE+1ecUU0wKsglLubKFoRxZ3G1er+zoVi2m/D6He15GR9Sxd+ns8/fSimb1Mjy5kx9H/Vpn+0l4UfSYqhsL0MLC06dpSYLzdC8zsMmZ6oy51930ZxlZYzYXs85//J21HUfudjklrF4Ai6md0Mcan2jxjKmLrQWSUO1vIa5u7tHQzw9Uu/k7FYtrvQ8j3deHCS/jyl3+VP/vLd/G333h9JTfY71YZZqJiKEy3AUNmtqrh2oW0n2b6JeCvgDe4+/dyiK8U6qOo7fQzHVO0nq409TO6GONTbZ4xpdV6UGGVy53dzMzktc1dWlrFe9ZZb+sq/k7FYtrvQ9He16oqw0xU8FX57n7EzMaAm8zsHcysLH0T8Irme83s1cw07b/Z3R/KN9LiGxlZP9t71P0K/24UracrLf2sKA+1cj+2mIq8cjS0quXOJKvCQ+7K0Yte451vR5O034eiva9VVIaZqBhGTAGuBRYCe4A7gHe6+xYzW2lmh82sfgbZjcAy4Iuz1w+b2b2BYi6k1tNGxrFju3ruDS1aT1da+hldjPGpNkRMMfbYFkxlcmeVZ2Y6KdOOJtK/MsxERVGYuvt+d7/M3Re5+8r6BtHuvtPdF7v7ztn//wV3H5q9Vv+4NGz0/ctz4dDc6RgAA2aKkV57Q4vW05WGfvt4YnyqzTumGHtsi6ZKubOqMzMiVRN8Kr/qOk1PQW+bzs+nPh3z4IMvO2lavz4CkeT79LNBflEl2cy+lRifXvOOKcTpWFJcSQ8aEZFiimLEtMo6HR+a9Ur3NEcgqjadFOOIZ5GUYeWo5KuKMzNSDnntDV0WGjENrNPxoc16Gc3sJKYRiBBnWzd+zyVLforR0Yt4avdZXb02xhHPIul3xFmqp4ozM1IOjb30ym/z04hpYEmLwDT7qWIZgQixD2rz9xwcPMDP/dw/cf5zf5jZ9yyirJ70NeIsvajazIwUX9699GUYnVVhGlj7zZWt5f1pjmbGsi9diNW2rb7n0NAk616swqhRVqvmy7ByVERkPnnvV12GnU5UmAZWLw6HhpqPDPWT7s1iNDOGEYgQq23bfe0lpx3J7HsWjVbNi7SW5k4qOs65vPLupS9LzlZhGoGRkfUMDi5q89lBkoxmFjHJhdgHtd3XHn+63d9D9cR4MpVUS4z5LM3Woyof5wxx/v2mKe+9ocuSs1WYRqL96OB016OZRU1yIXpdW33PyckhvvG9l2b2PYtEq+YltFjzWZqtR1U+NCDWv9805dlLX6acrcI0EmmMGhY1yYXodW3+nlNTp/Otb/0iW3/0vFS/T1Eb0WM8mUqqJdZ8lmbrUZUPDQj995tHbs6zl75MOVuFaSS6HTXsNPVR5CQXote18XuOj7+P7dtfMOfzaSSuojaia9W8hBZrPkuz9aiqxzlD+n+/SfN1UXNzO2XK2V3tY2pmC4HHgGlglbsfa/jcXwNvB65y989kEmUFdLNHX6dTokZG1ke1L2kZ9Lv3XHMj+vUXX8+Zi8/MINL0aXV8OpQ7exdrPhsd3TAnD0PvrUdpfq2iSfvvN0m+LnJubqdMOburEVN3Pwq8D3gucG39upndDPwG8NtKrP2bb9RwvqmP1ltPncLU1JHSNpdn5dDxQ32vbixLI7r0Trmzd7Hss9wszdajWLbsCyHNv9+kq9GVm3uTV2takqn8vwO2ABvMbLGZ3QC8G3ifu38si+BkrvmmPpqT3ODg6ZjVT5EqZ3N5Vu6v3d9X4ipTI3qjovbMBvZ3VCR3prnKOuaiLc3Woxi27Ashzb/fJIVmWXNzHvJqf+j6SFJ3nzKzdwN3A58HXg38ubvflFVwVdLNkZzdTH2MjKw/8boHH3wZx47NPdo07WNNy+goR9m0fxOTPgk8m7iSTPeU9chNHa2XXFVy53ytRr1ozGeSjj17dvPII99ieno6dCiz3g3A+Djs2+fA/zvpjvHxg0xPG5jTvMd3u0KzXb4ua27OWp7tD10XpgDu/gUzexS4BPgMcH3j581sGPiL2c+fCfwY2OjuH04n3HLqNqEn7UcKtXggxLn3afq3wX/tO3GVqRG9rox9WXmpQu7s1GpUpN//Mnv00W9z++33Uqstw08+wyV3R4cO8+1z7uaiXW9g4dTijvc+Y0sZ+OmdmMHZI2efuJ600Cxjbs5Dq1HprAr5RIWpmf0K8JLZ/x335p+Gma+3G3gt8O/AfwG+ZGY/dvfP9htsWXWb0LtZINUoxOKBLEZN8rZ/YB9TTM25ljRxZdmIXhuvcd3YdWy8fGOuhWGeialsqpA7Y11FLzA9Pc3nP38HX/ziTvYNGLZyB2bhK9PvnfIIe4d28b3z/pELj/9sx3ttcIqBwQHe8Jo38MqXvfLE9aSFZpkWCeUl6ah0v7ouTM3stcDtwJ3AceDXzezP3P0H9Xvc/QhwY8PLvmNm9wDrgEIk1xCSJPQkU1shVnyWYdTkkuOXctHLf4Yr3nhF6FBaCjGdnndiKpOq5M5YV9EL1Go/5tFH/5V9PzmLgf/8BAuGhzj11NOCxvS0P82Pju0A4EenbGfN4pey0NrHtGDBAq5+85Wct/K8OddVaGYv7/aHbreLWguMAd8ArgLOBS4HbgYu6/C6IeCVwAf7jrTEskroSUdYe9E8bd/qzwEaNUlLqOl09WX1pkq5s8pbH8VuampypkdzwDGDF6w6n3dc8Y6gMb3ni+9h8DuDTE1NMTg4yMIXDfP+1+fbdh1q9qlo8m5/mLcwNbMXAPcA24DLZvfh+6GZfRz4TTNb5+7faPPyjwIHgU+kFXAZZZnQs1w80GraHozm5nTQqElaQk2nqy8ruarlzjwehIui6H32WYtlBkaLObuT96h0x8LUzFYC/8hMgrzU3Q81fPom4G3MPNGva/Ha/83ME/+r3X2i+fPyrKIm9FbT9jNF6dziVKMm6QiZzDVdlkxVc6dW0Zejzz5rMczAaDFnvDruY+ruO939ue7+PHevNX3ux+5+mru3SqwfZqaJ/xJ335duyOVUxL3s2k/Pe5R7DxZdmc5CLjvlzuoKfQZ8EcQwA6NN9tsLvV91olX53TCzjzKzT98vuPveLl+zHPg4Mwl5H7DB3T/d5t7fBf4XsJCZDc/e2XjMn+SnfW/suaxd+3CAiMothmQu2VHuLAftTjC/0DMwsbQSxCp0i0OSk5/mZWY/Dfw28HzgP8zs8OzHvfO8dCMwAYwws0DgVjO7oMXXfx0zu/FeAowC5wF/lN6fQJKI9cjAsrrvmvvYeePOkz5aJfnQT7ySjHJnebTrp1effTw0+9Re0uNds5BqYeruO9zd3P1Ud1/c8HFpu9eY2SJmVqne6O6H3f0B4C7g6ha3vw34uLtvcfcDwB8Dv5bmn0Hm6nTEYMxHBvbqmYGn+ZdT7mf8+HjoUPqS19Fxkg7lzvKo2gN73g/BaXw/zT61F0OLQ6qFaY9WA1Puvq3h2mbgpKf+2Wubm+4bMbMzmm80s2vMbJOZbdq796lUA66KehP/zHS9n2jiby5Oi9Yb28nW077DU7aX+2v3hw6lZzE88UoulDsjVMYH9k7yfghO4/slmX1KqsizVe1aHPL+s8RQmC5mZuVqo4PAki7urf/3Sfe6+23uvsbd16xYcVLulS5UrYn/6YHD7Fz4OBhs2r8p9V/GvBJWDE+8kgvlzkiV7YG9nbwfgovw0F3k2apYWhxiKEwPA0ubri0FWs2lNt9b/+9iz7tGpj59X7XN8r+z7Ns42RV0eSSsWJ54JRfKnRJU3g/BsT90F6Fw7iSWFocYCtNtwJCZrWq4diGwpcW9W2Y/13hfzd0135SSudP3rZWxiX//8YM8tmgLbtMATDGVamLJK2HF8sQruVDulGDyfgguwkN3DIVzPzNzWbY4JBG8MJ09I3oMuMnMFpnZOuBNzJwt3ewTwG+Y2QvN7HTgvcDf5RZsBbTeNP9ZZW3i/1ztH3Gbey3NxJJXworliVeyp9wpIeX9EBz7Q3eSwjnLtq4itxLUBS9MZ13LzN56e4A7mNlfb4uZrZzdMmUlgLvfx8xpKf8M7Jj9eF+gmEup0zR9mZv4tx7ZzrRNzbmWVkGX55N+LE+8khvlTgki74fg2B+6kxTOWRWPRW8lqEt9g/1euPt+4LIW13cy07TfeO1DwIdyCq1yqrpp/ofO/5/cffdOnjr1AIPLnuGil/8MV7zxilS+dgzH70k5KXfKfGq1MXbu/GNe97rdvOIVS/nGjvNpvXFDMnk/7Mb+cN1t4ZzlUaitZuaK+G9MFIWpxGN0dMOcc56hvNP3eYn9SV9Eyqm+ZmB6+ihmsHTpIV7zwkfZdujc0KGVTreFc1bFY5lOs1JhKnPUp+m3b7+ZY8eeYHj4HEZHN5Ry+j4vsT/pi0g5tVozcMrgFOct+UqgiKoty+KxTDNzsfSYSkSqsgefiGSr08lxkr12awZOHWze/nZ+Rd44PhZZLuAq08ycRkxFulAbr3Hd2HVsvHxj4aZFREJonEYGTpwcB3T1sFurjaU2c5Pm1yqSdmsGnplalvhrNS7YKdoIXCyyLB7LNDOnEVORLpRhC475aERE0tTPyXHdHIfcrVZfa+vWG/jmN19Y+pHc0dENDAwsnHPt+NQg/z7+6kRfpyyrvUPTrindUWEqqSjzlF1ZkvJ8hWcWxbeK3epqN43czclxaR6H3Hpv5uNMTh6g36I3diMj61m16haGhs7CHQ4dWsr93/9Z9hx9caKvE8PG8VIdKkylb2mObsSoLEm5U+GZVfFdhZFmaa3dCXHdnBzXT1Hby2t6LXqLYGRkPStXfp4vfent/PUn3sm23SsTvT7LfZir8uBalT9nWlSYSt/SHN2ITRGOwevGfIVnFsV3WUaapTetppG73Xqun6K219f0UvRWQZYLdqry4Bryz1nEoliFqfQtzdGN2MR+DF63OhWeWRXfZRlplt7Up5GHh88FLNHJcf0Utd18rVZ6KXqblbGlKasFO1V5cA395yxi8a/CVPqW5uhGbMqwBcd8hWcWxXdZRpqlP71uPddPUTvf1xocPB2zU+bck8YhIkVqaRqfHO96FC2rBTtZPrjGNEoY8gE9dFHcKxWm0rc0Rzey0M8oRhlWUc5XeGZRfJdlpFnCSXM/5cavtW7d91m9+sOpFL2NQrc0JclzX3vqax1H0bIu7LJ+cI1llDD0A3pRZ2NX4lEAABgUSURBVK1UmErf0hzdSFsWoxgxPY13Y77CM4viuwwjzVJeWRwi0k1LU1ZT/Uny3DMcZfP45o6jaFkXdlk+uMY0ShjyAT10UdwPbbAvqRgZWR9FIdqs0yhGr/EWbaPpEKO7RRpRFklDu83s6y1N/R440EmSPPdvgz/oeFZ7c2GXxVnrWT64ZnUWfS9CPqAX+YhSFaZSamkvzMojaZdVp9OzdLKWJBHjSU6joxvmFJ4wt6Upi4fkum7z3DNDh9k5sINppoHWZ7XnUdhl9eCa5Vn0vQj5gF7kWStN5Uuppb0wq6g9OzHoND0YS0+YxC/WRUbztTRluXtJt3lu25nfwJvuacxjRZ7+BfW2Nyry+ggVplJqvS7MOnT80El9pEVP2iF16vuKqSdM4tPcl/n44++Ndt/kTr2rWe5e0m2eO3Dak7hNz7nWOIpW9MIu5Chh0dYexEyFqZykTHvx9bow6/7a/SeN4BU9aWepm+NO2400axRa2mk1Ojo1daDlvc0jj7HlsSx3L+k2z/3Xx9/OZROX8wer/qDlKFqRp38h7CihZn3Sox5TmSPLBv1Qki7MOspRNu3fdFIfadGTdpY6LQjr1PdVf49j6QmTuLQ+5761xpHHGPNY/ftm1RubxgLUIkzzxkhrD9KlwlTmyLJBvyj+bfBfWzb/K2m3Nl9S7jTS7HhhV45K9rrtv2weeYw1j8W6e0mZhFhIGdNOAGWgqfxIhZqGKvPxot14ZuBpdgz+B1NMAeoj7cZ8U/GdRpo1Ci2dtOu/HBo6veO0ddXzWJXlPaUeeu1BGXtbNWIaoZDTUPPtxVd2W0/7DqARvG51sz2LRpqlV+22YHre8/6kYy6seh6rqhBT6qH3Cy3avtrdCDpiambLzexOMztiZjvM7MoO977NzB4xs0NmtsvMPmhmpSysQx5tl1aDfmwLD9qpx7ls2Q28+c1/xdOLdjHdYdWqzKUFYWFUJXf2ungx9mOSJRshFlKG3gmgjDuahE5OG4EJYAR4CXCPmW129y0t7j0NuAF4EFgB3AW8C/hATrHmJuQ0VBoN+jEuPGilMU4zWLx4nE++YpAvf//nOGPlm7nijVeEDjF6mooPpjK5s5e+zKwXGkl8Qm2uH3JGqKy9rcEKUzNbBFwOvMjdDwMPmNldwNXAu5vvd/dbG/73CTP7FPALuQSbs9DTUP026Me68KBZqzhPGZriFas2s/XYmwNFVSyaps+fcmd38lpoFOMpVFUUeko9b7GdcpWmkFP5q4Epd9/WcG0zcEGXr78YaDU6AICZXWNmm8xs0969T/URZv6KPg1VlIUH7eJZcurTOUeSnTI2xotyZ7/SajWK9RSqKspz9ibvvNrq+5W5jSpkYboYONh07SCwZL4XmtnbgTXALe3ucffb3H2Nu69ZseKMvgLNW699VbHI8oSTNLWLZ/yZ03KOJDu9rFBVMRs95c4+pFlMhlwPIHPlubl+3iv/W32/MrdRZVaYmtlXzczbfDwAHAaWNr1sKTA+z9e9jJneqEvdfV820YfX6Wi72BVlxLdVnMcnB/nmYxcGiuhZaRSHvTbG6wSTsJQ7s5VmMVmU2SFJT94Ljtp9v5CnXGUts8LU3V/l7tbm45XANmDIzFY1vOxCOk8x/RLwV8Ab3P17WcUu/SnKiG9jnO5w+PAS7t+0jsd2j4YOLZXisJcVqmVd5Vkkyp3ZSrOYLMrskKQn75X/VTyyOdhUvrsfAcaAm8xskZmtA94E3N7qfjN7NfAp4HJ3fyi/SPNVlG2W5lOUEd96nAcPfpg77/wfbP3R80KHlEpx2Oumz1VMgkWj3NmfNIvJVrMucApTU0cKn8PlZHlvph968/5QQp/8dC2wENgD3AG8s77diZmtNLPDZrZy9t4bgWXAF2evHzaze4NEnRE10gukUxz20hifZxJUH2vflDt7lGarUfPs0ODg6ZjB5OQBlMPLJ+8FR2Ve4NRJ0MLU3fe7+2XuvsjdV7r7pxs+t9PdF7v7ztn//wV3H5q9Vv+4NFz06VMjvaRVHPbSGJ9nElQfa3+UO3uXdqtR4+zQ0NAi3I/P+bxyeHnkveCozAucOgm9wb40UCO9pLUXXy8N8HklwRDHBoo0ymqPU+Xwcst7YVEZFjL1QoVpREJvrC/hhXxCzisJlvW0kjJyd44fPz7/jQLAggVnMzFxchG6YMHZQd/HycnJYN87TbXxGteNXcfGyzfqYbbEVJhGZHR0w5yjPCHObZYkO2V/Qi7zaSVl9OSTT/KHf/iHocMojLPOej4vetFuBgenTlybmhrk4Yefz913/2G4wIB9+06DpYcAZ3BwMGgsvWpsAdLDbHmpMI2IzndORkcBFk/Vjg0suqPHB9jyZHkOnMjalidfzK4DC/j5Nd9myaJxxo8s4eubLmLrf5wfOjRsyTgDy8ZZcOoCLll3SaLXxjBSqRag6lBhGpm8zncuuvoOBvXR5frqV0DvX8Sq2sxfVHbKcQaf+2ToMArl8cklPP7tX5xzLZb38IwznsMNv/7bLFuyLNHrYhipnK8FKIbiWdKhwlQKqdMOBipM41X2VoWyWX76ct66/srQYUgKhoeHedHqFyWexo9hpLKbFqAYimdJhwpTiVq76XqtfhXJ3qLTFvHyl7w8dBgSUAyLFedrAYqheJb0hN5gXxIoy6lQ3ep04ICOAhQRyVYsJw/N1wKkE+vKRSOmBVHFnspO0/XawUBEJFuxLFbs1AKknT7KRyOmBVHFU6E6TdenfXqLnEzHhorkL6bfuyIsVqzqsZ1lphHTgqhiT+V8Bw5oB4NsaTGBSP5i+r0rwmLFIhTPkowK04Ko4qlQmq4PR4sJRPKn37vkilA8SzKayi+I0dENDAwsnHOt7EWapuvD0WICkfyV8fcuptYEKQYVpgVR1SJtZGQ9a9c+zMUXP8natQ+X/s8bg04rcfWPjEg2YlkBn7bG1gSRbqgwLRAVaZKHTosJ9I+MSDbKuIinuTWh6EW25EOFqaSqanutllG7xQTf3vFt/SMjkpEyLuIpY2uCZE+LnyQ1VdxrtYzaLSZ4zxffw44DO4BwJ8CIlFXZFvEUZX/R2niN68auY+PlG6OKq8o0Yip9q4+Sbt36W5Xba7Uqytr/JiLZKEprgtqT4qPCVPoy99jQ1vLYa1UtBNkqyj8yIhKHIrQmqAc2TprKl760OpGqWdZ7rXbTQlCrjbF9+80cO/YEw8PnMDq6IbX2gipMBRXhHxkRiUcRWhNa9cCqPSk8FabSl/lGQ/PYa7XTca0jI+sz732N6aSWrBThHxkRKZ5QD/ZF6YGtoqBT+Wa23MzuNLMjZrbDzK7s8nVfMTM3MxXWgXUaDc1rr9X5jmvtVLj2S1NBEoJyZ3lUfW/gNHo8e3kP1Z4Ur9A9phuBCWAEuAq41cwu6PQCM7uKEo70FrVHst2JVOefvzG3vVbbFcf16/MVrv3QdigSiHJnSVR58U1aD/a9vIdqT4pXsMLUzBYBlwM3uvthd38AuAu4usNrlgHvA34/nyjzMXcBkZ+Yai5CcRrDiVTzHdc6X+HaK61UlxCUO8uj6jMuaTzYd/seNo+q3nfNfey8cedJH2pbCi/kiOlqYMrdtzVc2wx0eur/U+BWYPd8X9zMrjGzTWa2ae/ep/qLNGNZTjXnIfSJVPMVx/MVrr0KNRVU9ak/yS937t+7v79IpaMqz7ik9WDf7XtY5ZHpoglZmC4GDjZdOwgsaXWzma0B1gF/3s0Xd/fb3H2Nu69ZseKMvgLNWpZTzVXRqTjOalQ31FSQEmzl5ZY7l69Y3leg0l7VZ1zSeLDv9j2s+sh00WRWmJrZV2eb7Ft9PAAcBpY2vWwpMN7iaw0AHwOud/fJrGIOJaup5qSK2ufajSxGdUNMBZUpwWrktzXlzmqo+uKbNB7su30PqzwyXUSZFabu/ip3tzYfrwS2AUNmtqrhZRcCW1p8uaXAGuCzZrYbeHj2+i4z+/ms/gx5yWqqOYki97lWSZkSrEZ+W1PurIaqL75J48G+m/dwvlFVPSDHJ9gKTXc/YmZjwE1m9g7gJcCbgFe0uP0gcHbD/z8XeAh4KbA361izVh+9y2oD+G7Mtxdov7Lc4L4qyrTvXvPIbxH/DKEod5ZDVjMrVTjwo66b97DTqOr7X//+SuxDXTSht4u6FlgI7AHuAN7p7lsAzGylmR02s5U+Y3f9g2cTas3dJ1p/6WIJvYAoyz7XXkZjy9xW0KsyTf2VaeQ3EOVOaUkzEXN1GlUtU2tUmQQtTN19v7tf5u6L3H2lu3+64XM73X2xu+9s8brts9Na6plKST99rvMVkUl3HShbW0FaU0V5TP3lMa1V9UUfaVDulFZUaJ2sU8uAHpDjFHrEVCLRa59rN0Vk0tHYom+f1SytEYw8FlvlMdpSppFfkZjEUGgVpWdTD8jxUmEqQO9bKnVTRCYdjS3T9llFGsHIK9aqL/oQyUIshVZRWgn0gBwvHU8nJ4yMrE/c29pNETk6uoHHHnvXnAK202js8PA5syOwJ18vmlYjGLE22OcVq05WEUnffIt88lCkRY16QI6XClPp2cx0/QAwddLnGovIpLsOJC1kY1WkVfRFilVEThZDoVWkB3E9IMdLhWnJZbVNU723tFVR2qqITDIaG8P2WWmIYQSjW0WKVUROFrrQ0sOtpEU9piWW5er2Vr2lMwZTOe4z9PZZaYhhBKNbRYpVROKTZ89mURZYSW80YlpiWW6a334h0nQhi8gshB7BSKJIsYpIfPJ8uNWm+OWmEdMSy3J1ez/7noqISLnUt7N760vfiplx9UuvTn07OyjWTifSGxWmJZZl8djrvqciIlJOeRSNMezVKtlSYVpiWRaPve57KiIi5ZR10RjLXq2SLRWmJZZ18ViGBUoiItK/PIpGbYpfDVr8VHK9bJovIiKSRB5bzmn3kGpQYSoiIiJ9yaNo1O4h1aDCVERERPqiolHSoh5TERGRitEm9RIrFaYiIiIV07hJvUhMVJiKiIhUiDapl5ipMBUREakQbVIvMVNhKiIiUhHapF5ip8JURESkIrRJvcROhamIiEhFaJN6iV3QfUzNbDnwceC1wD5gg7t/usP95wEfBf4rcAz4G3f//TxiFRGJhXKn9Er7jUrsQo+YbgQmgBHgKuBWM7ug1Y1mtgD4J+ArwFnAucAnc4pTRCQmyp0iUkrBClMzWwRcDtzo7ofd/QHgLuDqNi/5NeBJd/+Qux9x92fc/bs5hSsiEgXlThEps5AjpquBKXff1nBtM9DyqR+4CNhuZvea2T4z+6qZvbjdFzeza8xsk5lt2rv3qRTDFhEJKrfcuX/v/hTDFhGZX8jCdDFwsOnaQWBJm/vPBa5gpk/qbOAe4B9mp6lO4u63ufsad1+zYsUZKYUsIhJcbrlz+YrlKYUsItKdzArT2adyb/PxAHAYWNr0sqXAeJsveRR4wN3vdfcJ4BbgDOAFWf0ZRETyptwpRVcbr/GWv3+L9kaVnmRWmLr7q9zd2ny8EtgGDJnZqoaXXQhsafMlvwt4m8+JiJSCcqcU3Ue+/hEe+tFD2htVehJsKt/djwBjwE1mtsjM1gFvAm5v85JPAheZ2WvMbBC4gZltUn6QS8AiIhFQ7pSY1U+WcnedKCU9Cb1d1LXAQmAPcAfwTnffAmBmK83ssJmtBHD3rcBbgb8EDjCTiN84OzUlIlIlyp0SpcaTpXSilPQi6Ab77r4fuKzN53Yy0+TfeG2MmZECEZHKUu6UGNVHS+snS01MTfC5zZ/j+ouv58zFZwaOTooi9IipiIiIlEDjaGmdRk0lKRWmIiIi0rdHdz16YrS0bmJqgkd2PRIoIimioFP5IiIiUg73XXNf6BCkBDRiKiIiIiJRUGEqIiIiIlFQYSoiIiIiUVBhKiIiIiJRUGEqIiIiIlFQYSoiIiIiUbDmzXDLyMz2AjtS/JLPYeas6Vgpvv7EHF/MsUH14vtpd1+R4teLinJndGKOL+bYQPH1K7fcWYnCNG1mtsnd14SOox3F15+Y44s5NlB80lns77/i613MsYHi61ee8WkqX0RERESioMJURERERKKgwrQ3t4UOYB6Krz8xxxdzbKD4pLPY33/F17uYYwPF16/c4lOPqYiIiIhEQSOmIiIiIhIFFaYiIiIiEgUVpiIiIiISBRWmXTCz5WZ2p5kdMbMdZnblPPefZ2ZfMLNxM9tnZh+MKb6G133FzNzMhmKJz8zeZmaPmNkhM9tlZh9MO76E8fyume02s4Nm9jdmNpxmLP3El8d71U98Ta+J8Wct19/TKoo5dypvZh6TcmcPsTW9JpeftaTxZf17qsK0OxuBCWAEuAq41cwuaHWjmS0A/gn4CnAWcC7wyVjia4jzKiDzH/ZZSeI7DbiBmVMm1gKXAO8KEY+ZvQ5492wMo8B5wB+lHEvP8ZHPe9VPfECcP2uBfk+rKObcqbyZUUzKnX3FBuT+swYx5U5310eHD2DR7F/W6oZrtwMfaHP/NcDXY41v9vPLgG3ARYADQzHF1/T63wPuDhEP8GngTxv+/xJgd2x/n1m9V2nEF+vPWt6/p1X8iDl3Km9mG5NyZ3+x5fmz1sPfbea/pxoxnd9qYMrdtzVc2wy0e9K5CNhuZvfODnF/1cxeHFF8AH8K3ArszjCuul7ia3QxsCVQPBfMfq7xvhEzOyPFePqJr1na71UrSeOL9Wct79/TKoo5dypvZhuTcudcMedNiCx3qjCd32LgYNO1g8CSNvefC1wBfBQ4G7gH+IfZ4e/g8ZnZGmAd8OcZxdMs6ft3gpm9HVgD3BIonuZ76/89b+x96On9yui9aqXr+CL/Wcv797SKYs6dypvZxqTcOVfMeRMiy52VL0xnq31v8/EAcBhY2vSypcB4my95FHjA3e919wlmftjPAF4QOj4zGwA+Blzv7pO9xJNlfE1f9zLgA8Cl7r4vjVhnJYmn+d76f3eMvU+J368M36tWuoovi5+1tGKblervaRXFnDuVNzPJBcqdGccWKG9CZLmz8oWpu7/K3a3NxyuZ6fMYMrNVDS+7kPbD/t9lpickxviWMvNk+Fkz2w08PHt9l5n9fATxAWBmvwT8FfAGd/9eL3F1kCSeLbOfa7yv5u5PpRxTr/Fl/V71E1/qP2spxgYp/55WUcy5U3kzk1yg3Jl9bCHyZpL4II/cmWUDa1k+gM8AdzDTILyOmSHuC9rcez7wNPAaYBD4XeCHwILQ8QHGzCq6+sfLZn/Azokhvtl7Xw08BVwcOh7gl5jp8XkhcDozqxC7WnyQU3yZv1e9xhf7z1qI39MqfsScO5U3M33PlDt7iC3Uz1rC9y7z39Nc/kKK/gEsBz4PHAF2Alc2fG4lM8PgKxuurQceBw4BX22XTELF1/C5UfJZ8dd1fMA/A5Oz1+of9+YRT5u/y98DarN/l38LDIf6eQvxXvX7/sXysxbD72kVP2LOncqb6cWk3Jnue5f3z1oPf7eZ/p7a7DcREREREQmq8j2mIiIiIhIHFaYiIiIiEgUVpiIiIiISBRWmIiIiIhIFFaYiIiIiEgUVpiIiIiISBRWmIiIiIhIFFaYiIiIiEgUVpiIiIiISBRWmUjlmttDMdpnZTjMbbvrcX5vZlJldESo+EZEYKXdKHlSYSuW4+1HgfcBzgWvr183sZuA3gN92988ECk9EJErKnZIHc/fQMYjkzswGgc3AmcB5wDuAPwPe5+43hYxNRCRWyp2SNRWmUllm9svA3cCXgVcDf+HuvxM2KhGRuCl3SpY0lS+V5e5fAB4FLgE+C1zffI+Z/ZaZPWRmz5jZV3MOUUQkOsqdkqWh0AGIhGJmvwK8ZPZ/x7319MGPgQ8ALwN+Lq/YRERipdwpWVJhKpVkZq8FbgfuBI4Dv25mf+buP2i8z93HZu9fmX+UIiJxUe6UrGkqXyrHzNYCY8A3gKuA9wLTwM0h4xIRiZlyp+RBhalUipm9ALgH2AZc5u7H3P2HwMeBN5nZuqABiohESLlT8qLCVCpjdkrpH4GDwKXufqjh0zcBR4EPhohNRCRWyp2SJ/WYSmW4+05mNoZu9bkfA6flG5GISPyUOyVPKkxFOjCzIWZ+T4aAATM7FZh294mwkYmIxEu5U3qlwlSks/cycwRf3VHgX4BXBYlGRKQYlDulJzr5SURERESioMVPIiIiIhIFFaYiIiIiEgUVpiIiIiISBRWmIiIiIhIFFaYiIiIiEgUVpiIiIiISBRWmIiIiIhKF/w/RPaKh8itcGQAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "np.random.seed(6)\n", "Xs = np.random.rand(100, 2) - 0.5\n", @@ -1719,22 +1923,15 @@ }, { "cell_type": "markdown", - "id": "6c0c1428", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Regression trees" ] }, { "cell_type": "code", - "execution_count": 12, - "id": "9e446f86", - "metadata": { - "collapsed": false, - "editable": true - }, + "execution_count": 42, + "metadata": {}, "outputs": [], "source": [ "# Quadratic training set + noise\n", @@ -1747,13 +1944,20 @@ }, { "cell_type": "code", - "execution_count": 13, - "id": "02614882", - "metadata": { - "collapsed": false, - "editable": true - }, - "outputs": [], + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "DecisionTreeRegressor(max_depth=2, random_state=42)" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "from sklearn.tree import DecisionTreeRegressor\n", "\n", @@ -1763,23 +1967,29 @@ }, { "cell_type": "markdown", - "id": "e9f36cf0", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Final regressor code" ] }, { "cell_type": "code", - "execution_count": 14, - "id": "78740fb6", - "metadata": { - "collapsed": false, - "editable": true - }, - "outputs": [], + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "from sklearn.tree import DecisionTreeRegressor\n", "\n", @@ -1823,13 +2033,22 @@ }, { "cell_type": "code", - "execution_count": 15, - "id": "2e2456ae", - "metadata": { - "collapsed": false, - "editable": true - }, - "outputs": [], + "execution_count": 45, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "tree_reg1 = DecisionTreeRegressor(random_state=42)\n", "tree_reg2 = DecisionTreeRegressor(random_state=42, min_samples_leaf=10)\n", @@ -1863,10 +2082,7 @@ }, { "cell_type": "markdown", - "id": "e02561f0", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Pros and cons of trees, pros\n", "\n", @@ -1887,10 +2103,7 @@ }, { "cell_type": "markdown", - "id": "191d2c36", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Disadvantages\n", "\n", @@ -1915,10 +2128,7 @@ }, { "cell_type": "markdown", - "id": "e6e385f6", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Ensemble Methods: From a Single Tree to Many Trees and Extreme Boosting, Meet the Jungle of Methods\n", "\n", @@ -1946,10 +2156,7 @@ }, { "cell_type": "markdown", - "id": "343b2cae", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## An Overview of Ensemble Methods\n", "\n", @@ -1962,10 +2169,7 @@ }, { "cell_type": "markdown", - "id": "30f9b44b", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Bagging\n", "\n", @@ -1984,10 +2188,7 @@ }, { "cell_type": "markdown", - "id": "7566516d", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## More bagging\n", "\n", @@ -2016,10 +2217,7 @@ }, { "cell_type": "markdown", - "id": "8139dd6b", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Making your own Bootstrap: Changing the Level of the Decision Tree\n", "\n", @@ -2029,13 +2227,74 @@ }, { "cell_type": "code", - "execution_count": 16, - "id": "563de8bc", - "metadata": { - "collapsed": false, - "editable": true - }, - "outputs": [], + "execution_count": 46, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Polynomial degree: 1\n", + "Error: 0.061448998019132145\n", + "Bias^2: 0.06105618955900724\n", + "Var: 0.00039280846012491264\n", + "0.061448998019132145 >= 0.06105618955900724 + 0.00039280846012491264 = 0.06144899801913215\n", + "Polynomial degree: 2\n", + "Error: 0.03875741192664723\n", + "Bias^2: 0.034968923076368015\n", + "Var: 0.0037884888502792186\n", + "0.03875741192664723 >= 0.034968923076368015 + 0.0037884888502792186 = 0.03875741192664724\n", + "Polynomial degree: 3\n", + "Error: 0.02041636912454364\n", + "Bias^2: 0.01715994964969937\n", + "Var: 0.003256419474844272\n", + "0.02041636912454364 >= 0.01715994964969937 + 0.003256419474844272 = 0.020416369124543643\n", + "Polynomial degree: 4\n", + "Error: 0.015965748446438426\n", + "Bias^2: 0.013554291046963396\n", + "Var: 0.0024114573994750295\n", + "0.015965748446438426 >= 0.013554291046963396 + 0.0024114573994750295 = 0.015965748446438426\n", + "Polynomial degree: 5\n", + "Error: 0.013812239104124671\n", + "Bias^2: 0.011703251217852149\n", + "Var: 0.002108987886272521\n", + "0.013812239104124671 >= 0.011703251217852149 + 0.002108987886272521 = 0.013812239104124671\n", + "Polynomial degree: 6\n", + "Error: 0.014027604155185338\n", + "Bias^2: 0.011913977762964968\n", + "Var: 0.0021136263922203642\n", + "0.014027604155185338 >= 0.011913977762964968 + 0.0021136263922203642 = 0.014027604155185332\n", + "Polynomial degree: 7\n", + "Error: 0.015038650222479456\n", + "Bias^2: 0.012358926638419723\n", + "Var: 0.0026797235840597265\n", + "0.015038650222479456 >= 0.012358926638419723 + 0.0026797235840597265 = 0.015038650222479449\n", + "Polynomial degree: 8\n", + "Error: 0.01573056551137539\n", + "Bias^2: 0.012523761778720667\n", + "Var: 0.003206803732654721\n", + "0.01573056551137539 >= 0.012523761778720667 + 0.003206803732654721 = 0.01573056551137539\n", + "Polynomial degree: 9\n", + "Error: 0.016856035170026745\n", + "Bias^2: 0.013111698385627429\n", + "Var: 0.003744336784399317\n", + "0.016856035170026745 >= 0.013111698385627429 + 0.003744336784399317 = 0.016856035170026745\n", + "0.5424065596633239\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "\n", "import matplotlib.pyplot as plt\n", @@ -2093,10 +2352,7 @@ }, { "cell_type": "markdown", - "id": "9082768f", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Why Voting?\n", "\n", @@ -2117,10 +2373,7 @@ }, { "cell_type": "markdown", - "id": "c9cd29e3", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Tossing coins\n", "\n", @@ -2148,22 +2401,15 @@ }, { "cell_type": "markdown", - "id": "766fe680", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Standard imports first" ] }, { "cell_type": "code", - "execution_count": 17, - "id": "b9e71382", - "metadata": { - "collapsed": false, - "editable": true - }, + "execution_count": 47, + "metadata": {}, "outputs": [], "source": [ "# Common imports\n", @@ -2207,23 +2453,29 @@ }, { "cell_type": "markdown", - "id": "59f2bb75", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Simple Voting Example, head or tail" ] }, { "cell_type": "code", - "execution_count": 18, - "id": "f2f89dbb", - "metadata": { - "collapsed": false, - "editable": true - }, - "outputs": [], + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "\n", "# Common imports\n", @@ -2252,10 +2504,7 @@ }, { "cell_type": "markdown", - "id": "55bb71d6", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Using the Voting Classifier\n", "\n", @@ -2264,13 +2513,24 @@ }, { "cell_type": "code", - "execution_count": 19, - "id": "686bd591", - "metadata": { - "collapsed": false, - "editable": true - }, - "outputs": [], + "execution_count": 49, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "LogisticRegression 0.864\n", + "RandomForestClassifier 0.872\n", + "SVC 0.888\n", + "VotingClassifier 0.896\n", + "LogisticRegression 0.864\n", + "RandomForestClassifier 0.872\n", + "SVC 0.888\n", + "VotingClassifier 0.912\n" + ] + } + ], "source": [ "from sklearn.model_selection import train_test_split\n", "from sklearn.datasets import make_moons\n", @@ -2318,23 +2578,29 @@ }, { "cell_type": "markdown", - "id": "d0e5cdbd", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Voting and Bagging" ] }, { "cell_type": "code", - "execution_count": 20, - "id": "6b72643f", - "metadata": { - "collapsed": false, - "editable": true - }, - "outputs": [], + "execution_count": 50, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "VotingClassifier(estimators=[('lr', LogisticRegression(random_state=42)),\n", + " ('rf', RandomForestClassifier(random_state=42)),\n", + " ('svc', SVC(random_state=42))])" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "from sklearn.model_selection import train_test_split\n", "from sklearn.datasets import make_moons\n", @@ -2358,13 +2624,20 @@ }, { "cell_type": "code", - "execution_count": 21, - "id": "7630db00", - "metadata": { - "collapsed": false, - "editable": true - }, - "outputs": [], + "execution_count": 51, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "LogisticRegression 0.864\n", + "RandomForestClassifier 0.896\n", + "SVC 0.896\n", + "VotingClassifier 0.912\n" + ] + } + ], "source": [ "from sklearn.metrics import accuracy_score\n", "\n", @@ -2376,13 +2649,23 @@ }, { "cell_type": "code", - "execution_count": 22, - "id": "e6f81c32", - "metadata": { - "collapsed": false, - "editable": true - }, - "outputs": [], + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "VotingClassifier(estimators=[('lr', LogisticRegression(random_state=42)),\n", + " ('rf', RandomForestClassifier(random_state=42)),\n", + " ('svc', SVC(probability=True, random_state=42))],\n", + " voting='soft')" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "log_clf = LogisticRegression(random_state=42)\n", "rnd_clf = RandomForestClassifier(random_state=42)\n", @@ -2396,13 +2679,20 @@ }, { "cell_type": "code", - "execution_count": 23, - "id": "dfb90730", - "metadata": { - "collapsed": false, - "editable": true - }, - "outputs": [], + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "LogisticRegression 0.864\n", + "RandomForestClassifier 0.896\n", + "SVC 0.896\n", + "VotingClassifier 0.92\n" + ] + } + ], "source": [ "from sklearn.metrics import accuracy_score\n", "\n", @@ -2414,10 +2704,7 @@ }, { "cell_type": "markdown", - "id": "5672a91e", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Random forests\n", "\n", @@ -2437,10 +2724,7 @@ }, { "cell_type": "markdown", - "id": "54acf93a", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "m\\approx \\sqrt{p}.\n", @@ -2449,10 +2733,7 @@ }, { "cell_type": "markdown", - "id": "20c2e5b6", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "In building a random forest, at\n", "each split in the tree, the algorithm is not even allowed to consider\n", @@ -2474,10 +2755,7 @@ }, { "cell_type": "markdown", - "id": "1c5f740d", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Random Forest Algorithm\n", "The algorithm described here can be applied to both classification and regression problems.\n", @@ -2500,23 +2778,90 @@ }, { "cell_type": "markdown", - "id": "ff16fb37", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Random Forests Compared with other Methods on the Cancer Data" ] }, { "cell_type": "code", - "execution_count": 24, - "id": "d82fbd4a", - "metadata": { - "collapsed": false, - "editable": true - }, - "outputs": [], + "execution_count": 54, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(426, 30)\n", + "(143, 30)\n", + "Test set accuracy with Logistic Regression: 0.95\n", + "Test set accuracy with SVM: 0.63\n", + "Test set accuracy with Decision Trees: 0.88\n", + "Test set accuracy Logistic Regression with scaled data: 0.96\n", + "Test set accuracy SVM with scaled data: 0.96\n", + "Test set accuracy with Decision Trees and scaled data: 0.90\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/linear_model/_logistic.py:762: ConvergenceWarning: lbfgs failed to converge (status=1):\n", + "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n", + "\n", + "Increase the number of iterations (max_iter) or scale the data as shown in:\n", + " https://scikit-learn.org/stable/modules/preprocessing.html\n", + "Please also refer to the documentation for alternative solver options:\n", + " https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n", + " n_iter_i = _check_optimize_result(\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0.93333333 0.8 0.93333333 1. 1. 0.92857143\n", + " 1. 0.92857143 0.92857143 1. ]\n", + "Test set accuracy with Random Forests and scaled data: 0.97\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYoAAAEWCAYAAAB42tAoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nOzdd3gUxRvA8e+kEQIhQAw1dARJ6EVAQaIgvQpKE5COFEH0J2BFQWmCiiJFglKkSEBAepHQpUgv0kPvkJCE9JvfH3veHZhGcpe9y83nefLATPZ23yzh3pvZd2eFlBJFURRFSYmL3gEoiqIo9k0lCkVRFCVVKlEoiqIoqVKJQlEURUmVShSKoihKqlSiUBRFUVKlEoXikIQQo4UQCzLx+hNCiCArhmQVQoiuQoiNesehKJZUolCeihCiixDigBAiSghxQwixTghRT++4UiOE+EUIMdayT0oZKKUMtcGxPIQQnwohTgshooUQ14znqHF6Xi+l/FVKma5tMxDXaCHEWWNcYUKIOUKIktY+lpL9qEShpJsQYjjwLfAVUBAoDvwItNEzLjsTgnY+ugP5gFLAd0ALPYNCi6s10AXwAaoAfwMNn3ZHQgg364am2D0ppfpSX2l+ob25RAGvp7LNL8BYi3YQcNWiHQb8DzgKRAPBaAlnHRAJbAbyJfdai9c3Mv59NLDA4ntLgZtABLAdCDT29wMSgHhj/H9Y7gsoAsQA+S32VQ24C7gb272AU8ADYANQIoWfv5FxX/5pnMuRwHnjz3wSaGfxvbeAnRZtCQwAzhqPPw0Qxu+VBbYZf+a7wJI04iqWSkymc/vk+QVKGuPoDVw2nt/1wOAn9nEEeM349+eATcB94DTwht6/w+or419qRKGkV13AE/g9k/tpD7wKlANaoSWJD4Fn0Ea472Rwv+uAZ4ECwEHgVwAp5Szj3ydKKXNLKVtZvkhKeR3YY4zrX12AECllghCirTG+1wA/YAewKIUYGgF7pZRX04j1PFAfLfl+DiwQQhROZfuWQC20UcAbQBNj/xhgI9rIxR/4PpW49kkpr6QRV1oaABWMx18IdP73G0KIAKAEsEYIkQstSSxE+/foDPwohAjM5PEVnahEoaSXL3BXSpmYyf18L6W8JaW8hvamu1dKeUhKGYeWhKplZKdSyjlSykjjfkYDVYQQPul8uelNTwghgE7GPoD+wDgp5Snjz/4VUFUIUSKZ/TyDNqrBuK/8QohwIUSEECLWItalUsrrUkqDlHIJ2mjh+VTiGy+lDJdSXga2AlWN/Qlob85FpJSxUsqdKbzeF7iR6hlIn9FSymgpZQzav5XleegKLDee/5ZAmJTyZyllopTyILAM6GCFGBQdqEShpNc94BkrzE/fsvh7TDLt3E+7QyGEqxBivBDivBDiIdo0Cmhv3OkRAtQVQhQBXkKbZtlh/F4J4DvjG3442lSKAIoms597gGlkIKW8L6XMC9QAcljE210IcdhinxXTiPWmxd8fYT5HHxhj2Wes4uqVwusfiysTTCMSKWUksAYtqWL881fj30sAtf/9+Yw/Y1egkBViUHSgEoWSXnuAWKBtKttEA14W7cy8MTy2LyGEK9rUT3K6oF1AboQ2nVPy35cZ/0x1iWQpZTjaFM4bxn0tklL++5orQH8pZV6Lr5xSyt3J7GoLUEsI4Z/SsYyfwH8CBgO+xkRy3CLWdJNS3pRS9pVSFkEb+fwohCibzKabgedTi4v0/ds9eR4XAZ2FEHWBnGijHdDO2bYnzlluKeXb6fm5FPujEoWSLlLKCOBTYJoQoq0QwksI4S6EaCaEmGjc7DDQ3DjlUggYlolDngE8hRAthBDuwMdYfCp/gjcQh/bJ2QttesjSLaB0GsdbiFap1B7ztBPADGDUv/PrQggfIcTrye1ASrkR7c1yhRCitrEk1R2oY7FZLrQ33DvG/fVEG1E8NSHE6xZv/g+M+01KJq7NaNcMfhdC1BBCuAkhvIUQAyxGIYeBTsZ/05qkb5poLdro4Qu0C+kGY/9qoJwQoptxf+5CiFpCiAoZ+TkV/alEoaSblHIKMBztTfsO2ifHwcAK4ybz0SpfwtA+oS/JxLEigIHAbOAa2ifelC4SzwMuGbc7Cfz1xPeDgQDjNMiKJ19stArtYvgtKeURizh+ByYAi43TWseBZqmE/hraG+UCIBy4iDbt0tS4v5PAZLQR2i2gErArlf2lphawVwgRZYx/qJTyYgrbdkB7Y1+CViV1HKiJNtoA+AQog5ZwPufxZJks4/WI5WgjuYUW/ZFAY7TpqOtoU2cTSDnRK3ZOmEfYiqIoivJfakShKIqipMpmicK4PMBtIcTxFL4vhBBThRDnhBBHhRDVbRWLoiiKknG2HFH8gnFeNgXN0OaEn0W7e3a6DWNRFEVRMshmiUJKuR2t5jwlbYB5UvMXkDeNu1MVRVEUHei5uFdRLG7gQatoKUoyd5AKIfqhjTrw9PSsUbx48SwJ0N4ZDAZcXJzvMlN4nCQ8ThVhZIWi3CG/iNQ7DCWDouMhLMJAXCJIbWWFlO5FSpWeiSK5G4yS/d9vXK9nFkD58uXl6dOnbRmXwwgNDSUoKEjvMLLU9fAYXpkcSs4ErWS/aN6cuLkKYmJiyJkzp87R2Yd0nwsp6ZzwO9UMxxDJ/NfLLaMJMNzm3xvBbwtf4nG3crS2JaVEW5XFuUTHGZj0513m7A1HAqV93blwL+FSRvenZ6K4ChSzaPuj1VwrSoomrv+HWGOSCCySh1WD6+HqIpwyaaYkXedCSlg3AvbNS99Oq3ShQJtp4GAjWGf8vdi0aRP9+vUjLCwcV1dXPvjgAz799NNMfZDSM1GsAgYLIRYDtYEIKaU1Fi5TsqmDlx+w4rD5s8QnLQNwdXG+T4uZJiVs+gT2zUzf9hU7QJsfHC5JOKMDBw7QuLH23KuqVasSHBxM9eqZLyi1WaIQQixCe6bAM0KIq8BnoI1bpZQz0O4SbQ6cQ1vorKetYlEcn5SSL/44aWo3q1iIOqV9dYzIgW39CnZbrEge0Aaqd09+2xw+4F8TnHD6xhHVrFmTLl26ULFiRd5//33c3a0zVWizRCGl7JzG9yUwyFbHV7KXVUeuc/hKOAAeri6MaqaWDcqQ7V/D9onmdvkW0D4YXB3r2oOiuXXrFsOGDWPkyJFUqVIFgAULFlj9uox6pKFi92Likxi/7h9Tu1e9UhT39UrlFQo3jsIfQyHScoVyCZEWs7tlX4XXf1ZJwgFJKZk/fz7Dhg3jwYMH3Lhxg9DQUACbXLxXiUKxK2F3oxm86CCX7z0y9SUZJNHx2qKoz+T2YNDLZfQKzyHkigqDeW9BzIOUNyodBB3ng5tap8/RXLp0if79+7NhwwYAmjRpwsyZ6bzelEEqUSh2Q0rJiGVHOX7tYYrbvN+4PN6e6hNwiu6cpsqRTyEhIuVtSr8MnX4Fd1VO7EgMBgPTp09n5MiRREVFkS9fPr755hu6d+9u8xJglSgUu7HhxC32Xkz5Zv5GFQryes1iKX7f6d07D3Nb4/FvksiRR0sI+S1GYC5ukLuAujjtgG7cuGFKEh06dOD777+nUKGseWigShSKXYhLTOKrtadM7W51SvB+4/KmtqurIHcO9euaogeXYG5riDJek3DPBV1DoHhtfeNSMiUxMREXFxdcXFwoWrQoP/zwA97e3rz22mtZGocqjFbswi+7wrh8X7su4ZPTnfcal8PHy930pZJEKiKuwdxW8FB7rlOSiwd0/U0lCQd36NAhnn/+eWbMmGHq69GjR5YnCVCJQrEDdyLj+P7Pc6b2u42eJa+Xh44ROZDIm1qSCDeuzuCag+MVP4KS9fSNS8mw2NhYPvzwQ2rVqsWhQ4eYMWMGSUn/ecJtllKJQtHdlE1niIpLBKCMXy661imhc0QOIuqONt10/7zWdnGHjvN5kL+qvnEpGbZz506qVq3KuHHjMBgMvPPOO+zevRtXV1dd41KJQtHVyesPWbL/sqn9ccsA3F3Vr2WaHt2H+W3hrnGBTOGq3RNRrom+cSkZEhMTw5AhQ3jppZc4ffo0zz33HDt37uS7774jd+7ceoenEoWiHyklY1afxGBcuLRBOT9eLl9A36AcQWwEzG8Ht4wPjxQu0P4nqNBK37iUDHN3dzeNHD766CMOHTrECy+8oHdYJuoKoaKbjSdvsefCPQBcXQSftFTLcqQpLhIWdIAbh40dAtr8CBXb6xqW8vTu379PUlISfn5+uLm5MW/ePBISEqha1f6mDtWIQtFFcuWwZQt46xiRA4h/BAs7wtV95r6W30DVVJdVU+zQsmXLCAgI4O233zb1BQYG2mWSAJUoFJ3M3R3GpXvmctihDZ/VOSI7lxALizvDpV3mvmYToaZadNmR3Lhxg/bt29OhQwdu3brF7du3iYqK0jusNKmpJyXLnLkVyfw9l3gUn8TGE+bF6oY1epZ8uVQ5bIoS4+G3bnAh1Nz36hio3V+3kJSnI6Xkl19+Yfjw4YSHh5M7d24mTpxI//79HeJxxipRKFkiOi6R7sH7uPkw9rH+0n65eFOVw6YsKQFCesLZjea+lz+GF9/RLyblqSQlJdGyZUvWr18PQLNmzZgxYwbFixfXObL0s/9UpmQLM7ed/0+ScBEwulWgKodNiSEJlveDf1ab++q/Dw3+p19MylNzdXWlQoUK+Pr6Mn/+fNasWeNQSQLUiELJAtfCY5i5/YKp3bd+KcoV9KZC4TxULOqjY2R2zGCAlYPgxHJzX93B8MrH+sWkpNupU6e4f/8+L774IgBjxoxh5MiRFCjgmOXfKlEoNjdh3T/EJRoACCySh1HNKuCinnWdMilh9TA4ssjc93w/aDxWrfpq5xISEpg4cSJffPEFBQsW5MSJE3h7e5MrVy5y5cqld3gZphKFYlN/X7rPqiPXTe1PWwaoJJEaKWHdCDg419xXvQc0naCShJ37+++/6d27N0eOHAG0BwppT3x2fGpyWLEZg0HyxWrzvRLNKxWidmlfHSOyc1LCpk9gn8XTyip3gpbfggNUxjirmJgYRo4cSe3atTly5AilSpVi8+bN/PTTT+TJk0fv8KxCjSgUm1l55BpHroQD4OHqwqhm6s7rVG39EnZ/b24HvgZtpqkkYedatmzJn3/+iRCCd999lzFjxjj0NFNyVKJQbOJRfCIT1p02tXvXL0Wx/F46RmTntk2C7ZPM7edawmuzwFX9F7V3w4cP5+bNmwQHB1OnTh29w7EJ9VFFsYmZ2y6YymGfyZ2DgUFl0niFE9s1FbaONbefbQwd5oCreja4PVq3bh2TJpmTeosWLThy5Ei2TRKgRhSKDVwPj2Hm9vOm9v+alMPbU73pJWvvLO26xL9KB8Eb88Eth14RKSm4e/cu7777LgsWLMDFxYXGjRtTpUoVANzcsvdbqRpRKFY3Yf0/xCZo5bABhfPQoUYxnSOyU3//Aussbp4r8SJ0WgjunrqFpPyXlJLffvuNgIAAFixYgKenJxMmTCAwMFDv0LJM9k6DSpb7+9IDVh62KIdtFYCrKof9r8OL4I9h5rZ/LeiyBDyy10VQR3f9+nUGDhzIypUrAWjQoAGzZ8+mbNmyOkeWtdSIQrEag0F7ENG/mlUsRB1VDvtfx5fByoGAsca+cFXoGgI51DLr9uaDDz5g5cqVeHt7M3PmTP7880+nSxKgRhSKFa06cp3Dqhw2daf+gGV9QWpTcxSsCN1+h5x59Y1LMZFSIow3N06cOJGkpCQmTZqEv7+/zpHpR40oFKt4FJ/I+HX/mNq96pWiuK8qh33MmY2wtCfIJK39THnotgK88usblwJoq7x+8803NGzYkKQk7d+oSJEiLFq0yKmTBKgRhWIls7ZblsN6MOhlVQ77mPNbYcmbYEjQ2vnLQI9VkNtP37gUAE6cOEHv3r3Zu3cvoJXAtmzZUueo7IcaUSiZdiMihhnbzOWw7zcur8phLYXtgkWdISlOa+ctAT3+AO9C+salEB8fzxdffEG1atXYu3cvRYsWZdWqVSpJPEGNKJRMm7j+tKkctkLhPLxeU5XDmlzZBwvfgMQYrZ3HX0sSPkX1jUth//799OrVi+PHjwPQv39/JkyYgI+PWvr+SSpRKJly6PIDfj90zdT+pGUFVQ77r2sHYUF7iDc+Ezl3IW26KZ96op892LNnD8ePH6dMmTL89NNPvPzyy3qHZLdUolAyTErJFxblsE0CC/JCmWd0jMiO3DwG89tB3EOt7fWMliR81bUbPd25cwc/P+260KBBg5BS0rdvX7y8VOFFatQ1CiXDVh25zqHL5nLYD5urclgAbv8D89pArHZuyJkPuq8Ev/L6xuXEIiIiGDBgAGXLluXKlSuA9ojSoUOHqiSRDjZNFEKIpkKI00KIc0KIkcl830cI8YcQ4ogQ4oQQoqct41GsJyY+6bFy2J71SlLCV91VzN1zMK81PLqntXP4aPdJFKqob1xObM2aNQQGBjJz5kxiYmLYvXu33iE5HJtNPQkhXIFpwKvAVWC/EGKVlPKkxWaDgJNSylZCCD/gtBDiVyllvK3iUqxj1vYL3Igwl8MOftn57lb9j/sXYW4riLqltT1yw5vLoEg1feNyUnfu3GHs2LFs2bIFgNq1axMcHOxUazRZiy1HFM8D56SUF4xv/IuBNk9sIwFvod0GmRu4DyTaMCbFCp4sh31PlcNC+BVtJBFpXOfK3Qu6LoVitfSNy0mtX7+egIAAtmzZQs6cOZkyZQq7du1SSSKDbHkxuyhwxaJ9Faj9xDY/AKuA64A30FHKf9c2MBNC9AP6Afj5+REaGmqLeB1OVFSULudi1tE4YhK0O1eLebtQMPo8oaEXsjwOS3qdCwCPuHtUPfwRXjE3ADAId44GjCT8YjxczPqY9DwX9uLKlSvcv3+fypUrM2LECIoUKcKOHTv0Dsth2TJRJFcj+eSTxpsAh4FXgDLAJiHEDinlw8deJOUsYBZA+fLlZVBQkPWjdUChoaFk9bk4fCWc3et3mdoTOtWyi0onPc4FAFF34JfmYEwSuLjj0nkRVZ99NetjMdLtXOjIYDCwefNmGjduDEBQUBDVqlUjMjJSlb1agS2nnq4Clnde+aONHCz1BJZLzTngIvCcDWNSMkFKyRd/nDC1Gwc4eTnso/taddPdM1rbxQ3emAs6JglndO7cORo2bEiTJk1YsWKFqb9mzZqmxf2UzLFlotgPPCuEKCWE8AA6oU0zWboMNAQQQhQEygP6zmEoKfrj6A0OGsth3V2Fc5fDxoTD/LZw25g4hQu0nw3PtdA3LieSlJTE5MmTqVy5MqGhofj5+eHioir+bcFmU09SykQhxGBgA+AKzJFSnhBCDDB+fwYwBvhFCHEMbapqhJTyrq1iUjIuNiGJ8WtPmdo9XyxFyWectBw2LlK74/rGEWOHgLYzILCdrmE5k+PHj9OrVy/2798PwJtvvsm3336Lr696/okt2PTObCnlWmDtE30zLP5+HWhsyxgU6/hp+wWuG8thfXN5MPgVJy2HjY+GX9+AawfMfa2nQpWO+sXkZNavX0/r1q1JSEjA39+fmTNn0rx5c73DytbUEh5Kmm49jOXHUHM57PDG5cjjjOWwCTGwqBNctrhhq/nXUL27fjE5oXr16uHv70/Tpk0ZP348efLk0TukbE8lCiVNE9b/YyqHfa6QNx2dcXXYxDjteRIXt5v7mnwFz/fVLyYnER0dzddff817771H7ty5yZ07N0eOHMHbWz06NquoRKGk6siVcJYfNK8O+2nLANxcneyCYVICLH0Lzm029zX8FOoO0i0kZ/Hnn3/St29fLly4wL1795g6dSqAShJZzMn+xytP48nVYV8NKMgLZZ2sHDYpEZb1gdMWl9oajID67+kXkxMIDw+nb9++NGzYkAsXLlClShV69Oihd1hOSyUKJUWrj97g70sPACcthzUkwYq34aS5Np8Xh0LQKP1icgKrVq0iMDCQ2bNn4+HhwdixY9m/fz81atTQOzSnpaaelGTFJjy+OuxbL5SklDOVwxoM8MdQOPabua/2AGj0OaibuGxm//79tGmjLQlXt25dgoODqVDByT6g2CGVKJRkzd5xgWvh2uM78+fyYPArz+ocURaSEtb9Dw7NN/fV6AlNx6skYWO1atWiV69eVKlShUGDBuHq6qp3SApq6klJxn/KYV8th09OJymHlRI2fAT7Z5v7qnaFFlNUkrCBK1eu0KZNGw4ePGjqCw4O5p133lFJwo6oEYXyH5M2nOZRvFYOW76gN51qOUk5rJSw5Qv4a5q5r2J7aP09qKUhrMpgMDBz5kxGjBhBZGQkDx8+ZOvWrXqHpaRAJQrlMceuRhDy91VT++OWFZynHHb7JNg5xdyu0ArazQQX9cnWms6cOUPfvn3Zvl27J6Vdu3ZMmzYtjVcpenKSdwAlPbRyWPPqsI0qFKD+s346RpSFdn4LW780t8s1hfZzwNVJptyyQGJiIhMnTqRKlSps376dggULEhISwvLlyylcuLDe4SmpUIlCMVl77Cb7w5ywHPavGbD5M3O7zCvw+lxw89Avpmzo1q1bjB07ltjYWHr06MHJkydp37693mEp6aCmnhRAK4f9ymJ12B51S1LaL7eOEWWRA3Ng/Qhzu2R96PgruHvqF1M2EhcXh5ubG66urhQtWpSZM2eSL18+mjZtqndoylNQIwoFgOCdF03lsPm83BnS0AnKYQ8vhNXvmtvFakPnxeDhpV9M2ciePXuoVq0aP/zwg6mvc+fOKkk4IJUoFG4/jGXa1nOm9vDG5bN/OeyxEFhpsVZTkerQdSnkcIJRlI1FRUUxbNgwXnzxRU6dOsW8efMwGAx6h6VkgkoUymPlsOUK5qZzdi+HPbkSlvcDaXzzKlQJui0HTx9948oGNm3aRKVKlfjuu+9wcXFh1KhR7Nq1Sz15zsGpaxRO7tjVCEIOmsthP8nuq8OeXgchvUBqiRG/CtBtBeTMp29cDi46Opp33nmHOXPmAFC1alXmzJlDtWrVdI5MsYZs/I6gpEVKyZjVJ5FSazd8LpuXw57bAr91B0Oi1vYtC91XQi4nWxHXBjw9PTl+/Dg5cuRg3Lhx7Nu3TyWJbESNKJzYuuM32Rd2HwA3F8GHLbJxOezFHbC4CyTFa+18JaHHH+BdUNewHNnNmzcBKFSoEK6ursybNw+A8uXL6xmWYgNqROGkniyH7V63JGWyazns5b9gYUdI1J75jU8xLUnkKaJvXA5KSsncuXMJCAigf//+SOOQtHz58ipJZFNqROGk5uy6yNUHWjlsXi93hmbXctirf8OCDpAQrbW9C2vTTXmL6xuXg7p06RL9+/dnw4YNgHafxKNHj8iVy4mWoHdCakThhG5HxjLtT4ty2FfL4eOVDcthbxyFBe0gPlJr5yoA3VeBbxl943JABoOBadOmUbFiRTZs2EC+fPmYO3cu69atU0nCCagRhROavOEM0cZy2GcL5KbL89nw0/WtkzCvDcRGaO2c+bWRhF85feNyQElJSTRq1IjQ0FAAOnTowA8//EDBgur6jrNQIwonc/xaBL/9fcXUzpblsHfPakkiRrtQj6cPdF8BBQP0jctBubq68vzzz1OoUCGWLVvG0qVLVZJwMtnsHUJJjbY6rLkc9pXnCvBSuWxWDnv/AsxtBdG3tbaHN7z5OxSuom9cDubQoUOPPR9i9OjRnDx5ktdee03HqBS9qEThRNYfv8m+ixblsNltddjwyzC3NUTe0NruueDNEPCvoW9cDiQ2NpYPP/yQWrVq8eabbxIRoU3d5cyZk3z51E2Jzkpdo3ASsQlJfLXOXA7brW4JyhbIPuWwHnH3YO4wiDBOq7l5QpfFULyOvoE5kF27dtG7d29Onz6NEILXX38dNzf1FqGoROE0ft4VxpX72bQcNvIWVQ9/AjHXtLarB3T6FUq9pG9cDiIyMpIPP/yQadOmIaWkQoUKBAcHU7duXb1DU+yEShRO4Hbk46vDvtuoHHm9sslDeaLvwbw2eP2bJFzc4I15ULaRvnE5kJYtW7J9+3bc3NwYOXIkH3/8MTly5NA7LMWOqEThBKZsPENUnLa+UdkCuelSO5uUw8Y8gPlt4I5xSk24Qoc5UL6ZvnE5mFGjRhEdHU1wcDBVqqiL/sp/qYvZ2dyJ6xEsOWAuh/24RQXcs0M5bOxDmP8a3DwGgERAu5kQ0EbnwOxfSEgIY8aMMbWbNm3Kvn37VJJQUqRGFNmYlJIv/jCXwwaV9yOofAF9g7KGuCj49XW4ftDUdbr8YJ6r/LqOQdm/GzduMHjwYJYvX44QgtatW5uSg3pehJIa9duRjW04cYu9xnJYVxfBx9lhddj4R7CoE1z5y9zXYgo3C6trEimRUvLzzz8TEBDA8uXL8fb25scff6RSpUp6h6Y4CJUosqm4xMdXh+1WpwRlC3jrGJEVJMTCkq4QtsPc13Q81OqtX0x27uLFizRu3JhevXoRHh5Os2bNOHHiBAMGDFCjCCXdbPqbIoRoKoQ4LYQ4J4QYmcI2QUKIw0KIE0KIbbaMx5n8vCuMy/cfAeCT051hjRy8HDYxHpa+Bef/NPc1+hzqvK1bSI7gk08+YfPmzfj6+rJgwQLWrFlDsWLZ/FG3itXZ7BqFEMIVmAa8ClwF9gshVkkpT1pskxf4EWgqpbwshMgGE+j6uxMZxw9/WpbDPuvY5bBJibCsN5xZZ+4L+hDqDdMvJjuWlJRk+vvXX39teupcgQLqv5eSMbYcUTwPnJNSXpBSxgOLgSdLUroAy6WUlwGklLdtGI/TmLLptKkctoxfLrrWKaFzRJlgSIIVA+DUKnNfveHQ4AP9YrJTCQkJjB07lqFDh5KYqP37FypUiODgYJUklEyxZdVTUeCKRfsqUPuJbcoB7kKIUMAb+E5KOe/JHQkh+gH9APz8/EzLHTu7qKio/5yLSw+TWLwv1tRuUzyRXTu2Z3FkViINlD/9A4VvbjF1XfFvzXnXl2Db47OUyZ0LZ3L69GkmTpzIhQsXAJg8eTK1az/53835OPvvhbXYMlGIZPpkMsevATQEcgJ7hBB/SSnPPPYiKWcBswDKly8vg4KCrB+tAwoNDcXyXEgp6fzTX0i0RNGgnB/vvP68TtFlkhF8LCkAACAASURBVJSwZjhYJAlq9qZYi8kUE//91XryXDiLmJgYRo8ezddff43BYKB06dIMGjSI4cOH6x2aXXDW3wtrs+XU01XA8qqZP3A9mW3WSymjpZR3ge2AuusngzaevMVfF7JBOayUsH4UHJhj7qv2JjT/GpJJEs5qx44dVKlShYkTJwIwfPhwjh49SvXq1XWOTMlubJko9gPPCiFKCSE8gE7Aqie2WQnUF0K4CSG80KamTqE8tSfLYd+sXZxnCzpgOayUsPkz2Dvd3FfpDWg1FVQ552OOHTvG2bNnCQwMZPfu3UyePFk9llSxCZtNPUkpE4UQg4ENgCswR0p5QggxwPj9GVLKU0KI9cBRwADMllIet1VM2dnc3WFcuqeVw+bxdGNYIwd95GfoeNj1nbkd0AbaTgcXV/1isiNXr17F398fgAEDBuDu7k6PHj3w8HDgqjbF7tl0CQ8p5Vpg7RN9M55oTwIm2TKO7O5uVBzfbzGXww5rVI58uRzwjWPHZNg23twu3xzaB4OrWmnm7t27DBs2jBUrVnDixAlKlCiBi4sLffv21Ts0xQmosXw2MGXTGSKN5bCl/XLRra4DlsPumQZbvjC3yzaC138BV3fdQrIHUkqWLFlCQEAAv/76KwaDgYMHD6b9QkWxIpUoHNypGw9ZvO+yqf1JiwDHWx1230+w4UNzu2R96LgA3Jz7mQjXr1+nXbt2dOrUiTt37hAUFMTRo0dp166d3qEpTsbB3lEUS1JKxqw+icFYdPxSOT+CyvvpG9TTOjgf1r5vbhevC12WgHtO/WKyA6tWrSIgIICVK1eSJ08eZs6cyZYtWyhbtqzeoSlOSE3+OrBDt5PYff4eYC6HFY5UPnr0N1g1xNwuWhO6/AYeqnKnZMmSREdH07JlS6ZPn266gK0oelAjCgcVl5jE4tPxpnbX2sUp50jlsCd+h9/7Y7oHs3AVeHMZeObRNSy9JCUlsWLFCqTx4SGVK1fm0KFDrFq1SiUJRXcqUTioebsvcfuR9qbicOWw/6yFZX1AGrR2gUDotgJy5tU3Lp2cOHGCF198kXbt2hESEmLqr1ixomONEJVsSyUKB3QvKo6pW86a2kMblSO/o5TDnt0MS3uAQavS4ply0H0FeOXXNy4dxMfH88UXX1CtWjX27t1L0aJFyZPHOUdUin1L9zUKIURRoITla6SUDrranGN7rBz2mVx0c5TVYS9s0x48lGScMstXCrqvgtzOt7Lp/v376d27N8eOac/87t+/PxMmTMDHx0fnyBTlv9KVKIQQE4COwEng38XuJdraTEoW+ufmQxZZlMN+1KICHm4OMDC8tEd7hGmicWVbn+LQ4w/IU1jfuHSwevVq2rRpg8FgoEyZMsyePVstXKfYtfSOKNoC5aWUcbYMRkndk+Wwgb4uvPKcA3wav3oAfn0dErQlRvAuAj1WQV7nfNLaK6+8QtmyZWndujWff/45Xl5eeoekKKlK70fRC4Bz3yJrB7acus2uc1o5rIuAzs/lsP+LndcPw/zXID5Sa+cqoI0k8pfSN64sFBERwYgRI3j48CEAXl5eHDlyhEmTJqkkoTiE9I4oHgGHhRBbANOoQkr5jk2iUv4jPtHAlxarw3atXQJ/77s6RpQOt07A/LYQF6G1vXy1kcQzznPT2OrVqxkwYADXrl0jKiqKadOmAeDp6alzZIqSfulNFKv47xLhShaatyeMi3ejAfD2dOPdV8txdL8dJ4o7p2Fua4h5oLU980L3lVDAQZ+R8ZTu3LnD0KFDWbRoEQC1a9dm4MCBOkelKBmTrkQhpZxr60CUlN2LiuM7y3LYhs/adznsvfNaknhkTGQ58kC35VCokr5xZQEpJYsWLeKdd97h3r17eHl58eWXXzJkyBBcXdVS6YpjSjVRCCF+k1K+IYQ4xn8fY4qUsrLNIlNMvtl8hshYrRy21DO56F63pL4BpebBJS1JRN3U2u65oGsIFK2hb1xZZN++fXTt2hWAhg0bMmvWLEqXLq1zVIqSOWmNKIYa/2xp60CU5J2+GcnCvRblsM3tuBw24hrMbQUPr2ptt5zQ9TcoXlvfuLLQv1NM1atXp1evXvZfbKAo6ZDqO46U8obxz0vJfWVNiM7ryXLYemWfoWEFOy2HjbypJYlw46+Faw7ovAhK1tM3Lhs7d+4cjRo1Yt++faa+adOm0bt3b5UklGwjXR9NhRB1hBD7hRBRQoh4IUSSEOKhrYNzdn/+c5ud57R5fhcBH7e009Vho+/CvDZw/7zWdnGHjvOhzMv6xmVDiYmJfP3111SqVIktW7YwatQovUNSFJtJb9XTD0AnYClQE+gOOE+Now7iEw18ucZcDtv5+eI8V8gO1wF6dB/mtYU7/2ht4Qqv/wzlmugblw0dPXqU3r17c+DAAQC6devGN998o3NUimI76Z7sllKeA1yllElSyp+B7Ptx0Q7M/+sSF/4th83hxvBX7XB12NgIWPAa3NLWK0K4QPufoEIrfeOykbi4OD777DNq1KjBgQMHKFasGGvXrmXevHn4+vrqHZ6i2Ey6b7gTQngAR4QQE4EbgHq6jI3cj47nu81nTO13Gj6Lb247eyxoXCQs6ADXDxk7BLT5ESq21zUsW7p//z7fffcdiYmJDBo0iHHjxuHt7UDPAFGUDEpvouiGNvoYBLwL+APZ9x1BZ99uPsNDYzlsSV8verxQUt+AnhT/CBZ2gqvmC7i0/AaqdtYvJhuJjo4mR44cuLm5UbhwYYKDgylQoAD169fXOzRFyTKpTj0JIdoIIQYZq5xigU3AW0A7oGoWxOd0ztyK5FfLctgWAfZVDpsQC4u7wKWd5r5mE6FmT/1ispEtW7ZQqVIlvvvuO1Nf+/btVZJQnE5a70Af8PjSHTmAGkAQ8LaNYnJa/5bDJhnrYV8s60sjeyqHTYyH37rBha3mvlfHQO3++sVkA+Hh4fTp04dGjRpx8eJFli1bhsFg0DssRdFNWonCQ0p5xaK9U0p5X0p5GXWNwupCT99hx1mLctgWAfZTDpuUACE94exGc9/LH8OL2WtdyJUrVxIQEEBwcDAeHh58+eWXbNu2DRcXOxrVKUoWS+saRT7LhpRysEXTz/rhOK+EJANj1pw0tTs9X5wKhe2kHNaQBMv7wT+rzX3134cG/9MvJiuLioqiT58+LFmyBIC6desSHBxMhQrOsYihoqQmrY9Je4UQfZ/sFEL0B/Yls72SQfP3XOLCHTsshzUYYOUgOLHc3Fd3MLzysX4x2YCXlxdXr14lV65cTJ06lR07dqgkoShGaY0o3gVWCCG6AAeNfTXQrlW0tWVgzuRBdDzfWpTDDmlYlmfsoRxWSlg9DI4sMvc93w8ajwV7mRLLhCtXruDi4kLRokVxcXFh7ty5uLq6UrJkSb1DUxS7ktZaT7ellC8AY4Aw49cXUsq6Uspbtg/POViWw5awl3JYKWHdCDhoscJ89R7QdILDJwmDwcD06dMJCAigb9++SKkVD5QpU0YlCUVJRnqfR/En8KeNY3FKZ29FssCiHPbD5hXI4abzcwukhE2fwL6Z5r7KnaDlt+DgF3XPnDlDnz592LFjBwA5c+YkJiZGPZJUUVLh2P/rs4Gxa06ZymHrlvalcUBBnSMCtn4Fu783twNfgzbTHDpJJCYmMnHiRKpUqcKOHTsoWLAgISEhLFu2TCUJRUlDeu/MVmxg6+nbbDtzB9DKYT9paQflsNsnwfaJ5vZzLeG1WeDquL8qiYmJ1KtXj7179wLQo0cPpkyZQv78+XWOTFEcg+P+73dwCUkGxq42l8N2rFWcgCI6l8Pu/h7+HGtuP9sYOswBV3f9YrICNzc3GjZsyI0bN5g1axZNmmTflW0VxRYcdy7Bwf361yXOG8thc+dw473GOpfD7vsJNlqUvJYOgjfmg5sdVF9lwO7du9m40Xxz4CeffMLx48dVklCUDFCJQgfhj+L5ZvNZU3vIKzqXw/49F9a+b26XeBE6LQR3T/1iyqCoqCiGDh1KvXr16NGjBw8ePADA09NTrfSqKBlk00QhhGgqhDgthDgnhBiZyna1jE/N62DLeOzFt5vPEhGTAEDx/F689WJJ/YI5vAj+GGpu+9eCLkvAw/FWaNm4cSMVK1Zk6tSpuLi40KtXL3LmzKl3WIri8Gx2jUII4QpMA14FrgL7hRCrpJQnk9luArDBVrHYk3O3I5n/l/lx47qWwx5fBisHAsaHcheuCl1DIIdjffJ+8OABEyZMYP369QBUq1aNOXPmULWqWuBYUazBliOK54FzUsoLUsp4YDHQJpnthgDLgNs2jMVuWJbD1imdnyaBOpXDnvoDlvUFaVwVtWBF6PY75MyrTzyZ0LJlS9avX0+OHDkYN24ce/fuVUlCUazIllVPRQHLlWevArUtNxBCFEV7tsUrQK2UdiSE6Af0A/Dz8yM0NNTasWaJo3cSCT0dB4AAmhV6xLZt2zK8v6ioqAydi/z3DlDx+DhcZBIA0V7+HC7zPxL2Hc1wLHp67bXXiIiI4IMPPqB48eLs2rVL75B0ldHfi+xInQvrsGWiSO6GAPlE+1tghJQyKbX7B6SUs4BZAOXLl5dBQUHWijHLJCQZGPvdDkBLFB1rFaNH68qZ2mdoaChPfS7Ob4UdE0FqS4aQvwy5eq7lRe9CmYolq0gpmTdvHmfPnmXsWK2UNygoiOrVq/Pyy+ox7pDB34tsSp0L67BlorgKFLNo+wPXn9imJrDYmCSeAZoLIRKllCtsGJcuFu69zLnbUcC/5bDlsz6IsF2wqDMkacmKvCWgxx/gIEkiLCyM/v37m8pe33jjDSpX1pKt7jcqKko2ZstrFPuBZ4UQpYQQHkAnHn9aHlLKUlLKklLKkkAIMDA7JgmtHNa8Ouygl8vi553F5bBX9sHCNyAxRmvn8deShE/RrI0jAwwGA99//z0VK1Zk48aN5M+fn3nz5lGpUiW9Q1MUp2CzEYWUMlEIMRitmskVmCOlPCGEGGD8/gxbHdvefLflLOGPzOWwveqVzNoArh2EBe0hXhvRkLsQ9FgF+UpkbRwZ8M8//9CnTx/TdYc33niDqVOnUrCgHayJpShOwqZLeEgp1wJrn+hLNkFIKd+yZSx6OXc7ivl7LMthn8vactibx2B+O4h7qLW9ntGShG+ZrIshE7788kt27dpFoUKFmD59Om3bqsegKEpWU2s92dhXa0+RaCyHrV0qP00Cs/B6wO1/YF5biA3X2jnzQfeV4KfD9ZGnkJCQgLu7tr7UlClTyJcvH59//jn58uVL45WKotiCWsLDhraducOf/2i3h4isXh323nmY1xoe3dXaOXy0+yQKVcya42dATEwMo0aNom7duiQkaFN1fn5+TJ06VSUJRdGRGlHYSOITq8O+UaMYFYv6ZM3BH4TB3FYQZXwIoUdueHMZFKmWNcfPgJ07d9K7d2/OnDmDEIKtW7fSuHFjvcNSFAU1orCZhfsuc9ZYDpvLw5X3mmTR6rARV7Uk8fCa1nb3gq5LoViK9zPqKjIyksGDB1O/fn3OnDlDhQoV2LVrl0oSimJH1IjCBiIeJTBlk0U57CtlKeCdBSuxPryhJYlw46NVXXNA50VQ4gXbHzsDNm3aRJ8+fbh8+TJubm6MGjWKjz76iBw5HHNpc0XJrlSisAHLclj/fDnp9WIp2x806o52TeL+Ba3t4g6dftWeK2GnwsLCuHz5MjVq1CA4OJgqVaroHZKiKMlQicLKzt+JYt6eMFP7w+YV8HS3cTnso/swrw3cNY5iXNzgjbnw7Ku2Pe5TklJy4cIFypTRSnP79OmDl5cXHTt2xM1N/Soqir1S1yis7Ks15nLY50vmp1lFG5fDxoTD/LZw+4TWFi7QfjY818K2x31KN27coH379lSqVIkLF7RRjxCCrl27qiShKHZOJQor2n7mDlssymE/bWXbcljXxEfaHdc3jhh7BLSdAYHtbHbMpyWl5OeffyYgIIDff/8dNzc3Tp48mfYLFUWxG+qjnJUkJhkYu8b8Bvh6DX/blsPGR1Pp2BiIsHjTbT0VqnS03TGf0sWLF+nXrx+bN28GoEWLFsyYMQN/f3+dI1MU5WmoRGEli/Zf4cwtczns+7ZcHTYhBhZ1Iq9lkmj+NVTvbrtjPqWQkBB69OjBo0eP8PX1ZerUqXTu3Fmt8qooDkhNPVlBREwCUzaeNrUHvlyWAnlsVA6bGAdLusHF7ea+Jl/B831tc7wMCggIIDExkU6dOnHy5Em6dOmikoSiOCiVKKzg+y1neWAshy2aNye969moHDYpAZb2hHObzH0NP4W6g2xzvKeQkJDAwoULkVK7kB8QEMCJEydYtGgRBQoU0Dk6RVEyQyWKTLpwJ4pfdoeZ2jYrh01KhGV94PQaU1dYiY5Q/z3rH+spHThwgJo1a9K1a1cWL15s6i9btqyOUSmKYi0qUWSS5eqwtUrmo3klG5TDGpJg5UA4afFMpxeHElays/WP9RRiYmL44IMPqF27NkePHqV06dIUKVJE15gURbE+lSgyYcfZO2w+ZVEO2zLQ+vPwBgOsHgZHl5j7ag+ARp9rB9XJtm3bqFy5MpMmTQJg+PDhHDt2jAYNGugWk6IotqGqnjJIWx32lKndvro/lfytXA4rJaz7AA7OM/fV6AlNx+uaJFasWEG7dtq9GoGBgQQHB1O7dm3d4lEUxbZUosigxfuvcPpWJABeHq78r4mVy2GlhI0fw/6fzH1Vu0KLKbomCYAmTZpQsWJFOnTowKhRo/Dw8NA1HkVRbEtNPWVARMzjq8MODCpDQWuWw0oJW76APT+Y+yq2h9bfg0vW/5PdvXuXwYMHEx6uPSkvZ86cHDx4kM8++0wlCUVxAmpEkQE//HmW+9HxgFYO26d+aeseYPsk2DnF3K7QCtrNBJcsfNY22vIbS5YsYciQIdy9e5ekpCSmT58OYHpUqaIo2Z9KFE/p4t3ox8phRzV/zrrlsDu/ha1fmtvlmkL7OeCatW/M165dY+DAgaxatQqAl19+mffffz9LY1AUxT6oqaen9NXaUyQkaeWwNUvko0Wlwtbb+V8zYPNn5naZV+D1ueCWddM7Ukp++uknAgICWLVqFXny5GHWrFls2bLFtDy4oijORY0onsKuc3fZdPKWqW3V1WEPzIH1I8ztkvWh46/gngVPxrOwd+9e+vXrB0CrVq2YPn06RYsWzdIYFEWxLypRpFOSQTJmtXkRvvbV/ansn9c6Oz+8EFa/a24Xqw2dF4OHl3X2nwYppSnh1alTh+HDh1OrVi06duyo1mdSFEVNPaXXkv1X+OemVg6b092VD5paqRz2WAistFirqUh16LoUcuS2zv7TcPz4cV544QX27Nlj6ps8eTKdOnVSSUJRFEAlinR5GJvAZMvVYa1VDntyFSzvB9KgtQtVgm7LwdOGz7Ewio+P5/PPP6d69er89ddffPbZZ2m/SFEUp6SmntLhhz/Pcc9YDlvEx5O+L1mhHPb0egjpBTJJa/tVgG4rIGe+zO87Dfv27aN3794cP34cgLfffpvx48fb/LiKojgmNaJIQ9jdaH7eddHUHmmN1WHPbYHfuoFBW5oc37LQfSXkeiZz+03Do0ePeP/996lbty7Hjx+nbNmyhIaG8uOPP5InTx6bHltRFMelRhRpsCyHrVEiH60qZ7Ic9uIOWNwVkrQRCvlKQo8/wLtg5vabDpGRkcyZMweADz74gNGjR5MzZ06bH1dRMiIhIYGrV68SGxub4X34+Phw6tSptDfMRjw9PfH397fqTbEqUaRi97m7bLQsh22ZyXLYy3/Bwo6QGKO1fYppSSKP7ZbmjoiIwMvLC3d3dwoWLMjcuXMpXLgwNWvWtNkxFcUarl69ire3NyVLlszw/7vIyEi8vb2tHJn9klJy7949rl69SqlS1nuAmpp6SkGSQfKFRTnsa9WLUqVYJsphr/4NCzpAQrTW9i6sTTflLZ7JSFP2xx9/EBAQwOTJk019rVq1UklCcQixsbH4+vqq6runIITA19c3U6Ow5KhEkYLfDjxRDtvkuYzv7MZRWNAO4rX9kcsPuq8CX9vc6Xznzh26dOlC69atuX79OuvXr8dgMNjkWIpiSypJPD1bnDOVKJLxMDaBrzeYy2HfDipDIZ8MlsPeOgnz2kBshNbOmV9LEn7lrBDp46SULFy4kAoVKrBo0SK8vLz45ptv2LJlCy46rDqrKEr2oN49kjFt6xPlsBldHfbuWS1JxNzX2p4+0H0FFAywUqRmDx8+pFWrVnTt2pV79+7RsGFDjh07xrBhw3B1zdpVZxUlu7h58yadOnWiTJkyBAQE0Lx5c86cOUNYWBgVK1a0yTHj4uLo2LEjZcuWpXbt2oSFhdnkOE/DpolCCNFUCHFaCHFOCDEyme93FUIcNX7tFkJUsWU86XHpXjQ/7wwztUc0e46cHhl4o71/Aea2gmjtUal4eMObv0Nh2/yIuXPnJjIyEh8fH4KDg9m0aROlS1t5+XNFcSJSStq1a0dQUBDnz5/n5MmTfPXVV9y6dSvtF2dCcHAw+fLl49y5c7z77ruMGDEi7RfZmM2qnoQQrsA04FXgKrBfCLFKSnnSYrOLQAMp5QMhRDNgFqDrMzXHrf2H+CRtPr9a8by0rpKBiqTwyzC3NUTe0NruueDNEPCvYcVItaqQy5cvU7x4cVxcXJg3bx7u7u4UKWK7KipF0UPJkWtstu+w8S2S7d+6dSvu7u4MGDDA1Fe1alXtNRaf8sPCwujWrRvR0Vqhyg8//MALL7zAjRs36NixIw8fPiQxMZHp06fzwgsv0Lt3bw4cOIAQgl69evHuu+8+dtyVK1cyevRoADp06MDgwYMfW49ND7Ysj30eOCelvAAghFgMtAFMiUJKudti+78AfxvGk6Y95++x/sRNUztD5bAPr2tJIuKK1nbzhC6LoXgdq8WZmJjIN998w8cff0yDBg3YsGEDQghKlChhtWMoirM7fvw4NWqk/eGuQIECbNq0CU9PT86ePUvnzp05cOAACxcupEmTJnz00UckJSXx6NEjDh8+zLVr10yrIvz71EhL165do1ixYgC4ubnh4+PDvXv3eOYZ296QmxpbJoqiwBWL9lVSHy30BtYl9w0hRD+gH4Cfnx+hoaFWCtHMICWf7TaXlNUt4krEhSOEXkj/Ptzjw6l26EO8Yq5p+xRuHAsYwYNLBrgUapU4z58/z6RJkzh92nyxfePGjeTIkcMq+3dUUVFRNvm9cETZ5Vz4+PgQGRlp8+OkdIzY2Fji4+OT/X5UVBQGg4HIyEgiIiJ4//33OXbsGK6urpw7d47IyEgCAwMZOHAgUVFRtGzZksqVK+Pn58e5c+fo378/TZo0oWHDhv/Zf1JSElFRUaZ+g8FAVFTUU/0fj42Nte7vgJTSJl/A68Bsi3Y34PsUtn0ZOAX4prXfcuXKSVtYtPeSLDFitSwxYrUs//FaeT380dPtIOqulNPqSPlZHu3r8/xS/rPWavHFxsbKTz75RLq5uUlAFitWTI4fP95q+3d0W7du1TsEu5FdzsXJkyczvY+HDx9m+LWbN2+W9evXT/Z7Fy9elIGBgVJKKT/77DP53nvvyaSkJJmQkCBdXV1N2127dk3OmjVLVqxYUc6dO1dKKWVkZKQMCQmRLVu2lD179vzPvhs3bix3794tpZQyISFB+vr6SoPB8FSxJ3fugAMyg+/ntryYfRUoZtH2B64/uZEQojIwG2gjpbxnw3hSFBmbwNcWq8MOaFCGwj5PsbRFzAOY3xZuG2fVhCt0mAPlm1klvsTEROrUqcOYMWNITExk0KBBnDhxgtq1db2coyjZ2iuvvEJcXBw//fSTqW///v1s27btse0iIiIoXLgwLi4uzJ8/n6QkbaHPS5cuUaBAAfr27Uvv3r05ePAgd+/exWAw0L59e8aMGcPBgwf/c9zWrVszd+5cAEJCQnjllVd0v5/EllNP+4FnhRClgGtAJ6CL5QZCiOLAcqCblPKMDWNJ1bSt57kbpZXDFvbxpP9LT3EjXOxDWNAebh41dghoNxMC2lgtPjc3N9q0acOjR4+YPXs29evXt9q+FUVJnhCC33//nWHDhjF+/Hg8PT0pWbIk33777WPbDRw4kPbt27N06VJefvllcuXKBUBoaCiTJk3C3d2d3LlzM2/ePK5du0bPnj1NN8COGzfuP8ft3bs33bp1o2zZsuTPn5/Fixfb/odNg9BGJDbauRDNgW8BV2COlPJLIcQAACnlDCHEbKA9cMn4kkQpZarrS5QvX15azs9n1uV7j2g0ZZup0um7TlVpUzWdj/6Mi9KSxJW/zH1tpkG1NzMd15YtW4iNjaVFC60iIz4+nqSkpMcW8QsNDSUoKCjTx8oO1Lkwyy7n4tSpU1SoUCFT+3C2tZ7+ldy5E0L8ndb7a0psuiiglHItsPaJvhkWf+8D9LFlDGkZt+5Uxsph4x/Bok6PJ4kWUzKdJMLDw3nvvfeYM2cOfn5+nDp1Cl9fXzw8PDK1X0VRlIxy6tVj/7pwj3XHzeWwn6S3HDYhFpZ0hbAd5r4m46BW70zFs2LFCgYOHMiNGzfw8PBg2LBh6jkRiqLozmkTRZJBMsZiddi2VYtQvXg6ni6XGA9L34Lzf5r7Go2GugMzHMutW7cYMmQIS5cuBeCFF15g9uzZmR52K4qiWIPTJoplf1/lxPWHAHi6u/BB03SsDpuUCMt6wxmL2z2CPoR676b8mjRIKWnTpg179+4lV65cjBs3jkGDBqlF/BRFsRtO+W4UFZfIRIvVYfu/VIYiedMohzUkwYoBcGqVua/ecGjwQaZiEUIwYcIEmjRpwvHjxxkyZIhKEoqi2BWnHFFM23qOu1FxABTK40n/BmksnmcwwKp34NhSc1+dQdDwU3jK+maDwcCMGTO4ePEikyZNAqBBgwY0aNDgqfajKIqSVZzuo+uV+48I3nHR1B7RrDxeHqnkm/2fNAAAFJVJREFUSylh7XtweIG5r2ZvaPLlUyeJ06dP06BBAwYNGsTXX3/NsWPHnjZ8RVGykB7LjG/fvp3q1avj5uZGSEiITY7xtJwuUViWw1Yplpc2VVK5Z0JKWD8KDswx91V7E5p//VRJIjExkfHjx1OlShV27txJwYIFCQkJoVKlShn9MRRFsTGp0zLjxYsX55dffqFLly5pb5xFnGrqae+Fe6w9Zi6H/axVAC4uKbzhSwmbR8Pe6ea+Sm9Aq6nwFNcQDh8+bLp9H+Ctt95i8uTJ5M+fPyM/gqI4p9E+GXpZum61Gx2RbLdey4yXLFkSwK6uVTpNokgySL6wKIdtk1Y57LYJsMviVv2ANtB2Org83UOMvv32Ww4ePEiJEiWYNWsWjRs3ftrQFUXRgV7LjNsjp0kUyw4+Xg47IrVy2B1TINRiDZbyzaF9MLim73TFxsbi6ak9Y3vy5MkUKlSIjz/+mNy5c2c4fkVR7FNCQgKDBw/m8OHDuLq6cuaMtmxdrVq16NWrFwkJCbRt25aqVatSunRpLly4wJAhQ2jRooXDfHB0ikQRFZfIJIty2H6plcPu+RG2fG5ul20Er/8Cru5pHycqig8//JDQ0FAOHDiAh4cHvr6+jB8/PpM/gaI4uRSmh9KSmbWeAgMD03Ux+ZtvvqFgwYIcOXIEg8Fg+pD40ksvsX37dtasWUO3bt343//+R/fu3Tly5AgbNmxg2rRp/Pbbb8yZMyeNI+jPfibBbGh66DnuRGrlsAXz5GBASuWw+2fDhlHmdsn60HEBuKX9wJCNGzdSsWJFvv/+e06ePMmOHTvSfI2iKPZLr2XG7VG2TxRX7j/iJ8ty2KbPJV8Oe3A+rHnP3C5eF7osAffUb8S7f/8+PXv2pEmTJly6dIlq1apx4MABGjZsaK0fQVEUHfy7zPimTZsoU6YMgYGBjB49+j/PpB84cCBz586lTp06nDlz5rFlxqtWrUq1atVYtmwZQ4cO5dq1awQFBVG1alXeeuutZJcZ379/P/7+/ixdupT+/fsTGBiYJT9varL91NP49f8Qn2gsh/X3oW1yS4gf/Q1WDTG3i9aE/7d359FRVXkCx7+/hKwgWwAFEYMtBJslkUWiguLQAgoRGVCHBolihG4VlwMKGA/Ttjg2LXa3oICADKiNgigCiiwuCCMBITSQsAhCgwQ4GEDDlgBJ7vxxX5IyaxFSSyq/zzl18pZbr+77Ubxb9y2/+/uFEFq73G0vW7aMRx99lGPHjhEWFsaLL77I6NGjqVUr4MOqVI3QrFkzFi5cWOq6ggvSrVq1Yvv27YXLCw7+iYmJJCYmlnhfRb2ILl26kJGRUdkqe0RAH9E2HTjJZ9uPFs5PKO122B2LYfFIwBmXo2ksDP0IwivO2nrixAmOHTtGt27dmD17NjExMVVYe6WU8g8B21Dk5xv+vKzodtiE2GZ0urbYswu7l8NHSWBsj4MmbeHBTyCifqnbNMawc+fOwq5gYmIi9erVo3///n51z7NSSlWlgD26fbQlg7TD9k6JsFpBjO1T7Nf+3i/gw0TIz7XzjVrDsE8gsvQH4Q4cOECfPn3o3Lkze/fuBew5zAEDBmgjoZQKaAF5hDtbLDvsiNuuo3mDyKIC+7+xAw/l2XGyadAShi2FOk1KbCs/P5+pU6fSrl07Vq1aRWRkJPv37/f0LiillN8IyFNP09fsK3Y77G+KVh5MsUOY5ubY+XotIHEZ1G1aYju7du0iKSmJ9evXA3D//fczZcoUrrzySo/vg1JK+YuAaygyfj7HzHVFv/if692G2mHObmZshn/eBxfP2fkrmkHiUqh/TYntzJ8/n4cffpgLFy5w1VVXMX36dO69915v7IJSSvmVgDv19JfPi26H7dC8HgNudG6HPbIV3v1PuHDaztduYnsSDVuWup1OnToRFBTEI488ws6dO7WRUKoGCg4OJi4ujtjYWDp27Fh4dqGqPPTQQ4VPfyclJbFz584K3uEbAdWj2HzgJJ+63g7bz7kd9tgOeHcAnHfSAERG2Z5Eo+sLy2ZnZzN//nyGDx+OiBATE8OePXu45pqSvQ2lVM0QERHB1q1bAVi5ciXjx48v8WR2VZk9e7ZHtlsVAqZHkV8sO2y/Dk3pHN0QMvfAO/0h+6RdEV4fhi2BJjcUll23bh1xcXEkJSXx3ntFAxRpI6GU/xCRMl8zZ84sLDdz5szC5XXr1i1RtrJOnTpFgwY24/SZM2fo2bMnHTt2pH379ixZsgSAs2fP0rdvX2JjY2nXrh0LFiwAIDU1ldtvv51OnTrRu3dvjh49WmL7PXr0YPPmzQDUqVOH5ORkYmNjiY+PLxwDIzMzk4EDB9KlSxe6dOnCt99+W+n9uRQB06NY/K/DbM+wPYbQWkGMu6sNnNgH8xLgbKYtFFYXHvwYrrIDBp0+fZpx48Yxbdo0AG644QZatWrlk/orpfxPdnY2cXFx5OTkcPToUb766isAwsPDWbx4MXXr1uX48ePEx8dzzz33sGLFCpo1a8Znn30G2DxQFy9eZNSoUSxZsoTGjRuzYMECkpOTy00GePbsWeLj43n55Zd57rnnmDVrFi+88AJPPfUUzzzzDN26dePHH3+kd+/e7Nq1y+NxCIiGwt4Ou7twfkT362gux21P4owzUFFIbRiyCK62+eU///xzRo4cyaFDh6hVqxbjx48nOTmZsLCKEwAqpbzPGONWuREjRjBixAjg8rLHwq9PPaWkpDBs2DDS09MxxvD888+zdu1agoKCOHz4MMeOHaN9+/aMGTOGsWPH0q9fP7p37056ejrp6enceeedAOTl5dG0acm7LF2FhobSr18/wF4vXb16NQBffPHFr65jnDp16rL30R0B0VC89c0+jp2yt8M2viKMxzqGw9x+kHXIFqgVAUMWQouuACxatIj77rsPsP8Ic+bMoUOHDj6pu1Kqerj55ps5fvw4mZmZLF++nMzMTFJTUwkJCSE6OpqcnBxat25Namoqy5cvZ/z48fTq1YsBAwbQtm1bUlJS3P6skJCQwtNkwcHB5ObaB4Pz8/NJSUkhIqL8ZKVVrdpfo8j4+RxvrS26HXbC7Q2JfH8A/HLQLggOg8HvQ3S3wjIJCQl06tSJV199lQ0bNmgjoZSq0O7du8nLyyMqKoqsrCyaNGlCSEgIX3/9NQcP2uPNkSNHiIyMZOjQoYwZM4YtW7YQExNDZmZmYUNx8eJFduzYUak69OrVizfeeKNwvqC342nVvkcxacX3nHduh721KfTb9kc4uc+uDAqBB97lSEQMLwwfzuTJk2nYsCFhYWFs3LiR4OBLG9ZUKVWzFFyjAHvqa968eQQHBzNkyBASEhLo3LkzcXFxtGljR8xMS0vj2WefJSgoiJCQEKZPn05oaCiLFi3iySefJCsri9zcXJ5++ulKpQ+fMmUKjz/+OB06dCA3N5fbbruNGTNmVOk+l6ZaNxSpB0+ybNsRAOpxhln8Hcl0rlVIMGbQHOasy2D06AfIysoiNDS0MKjaSCilKlIwCFFxjRo1KvVUUnR0NL179y6xPC4ujrVr15ZYPnfu3MLpNWvWFE6fOXOmcHrQoEEMGjSo8HML7qTypmrbULhmh72Ccyyt9xqRPzv5nSSI/TdNZMSTU/jyyy8B6Nu3L8nJyb6qrlJKVVvVtqH4ZOthtmVkUZts5oVN4trzNqNrXj5MzU4gedCznDt3jqioKKZMmcLgwYMv6x5qpZSqqaplQ3HuQi6TVuwmnPO8HTqZjrK3cN2mlqN4ZvjLAAwePJjXX3+dxo0b+6qqSqnLYIzRH3iXyN3biC9FtWwoZnyzn19OnWZWyN+ID9pFvjEEicBdfyW+60iS90HXrl1JSEjwdVWVUpUUHh7OiRMniIqK0sbCTcYYTpw4QXh4eJVut9o1FLn5MOeb75kW8jq3Baex+UgeSUuzmTrhCbp3HQnAxIkTfVxLpdTlat68ORkZGWRmZlZ6Gzk5OVV+0PR34eHhNG/evEq3We0ail9y8nlTXueW/C0899V5Xku5QL6BVz7dS/fHfF07pVRVCQkJoWXL0rM7u2vNmjXceOONVVSjmsujD9yJSB8R+V5EfhCRcaWsFxGZ4qzfLiIdK9pmg7yfiDiUQocZZ3l1/QUQYfTo0YWpepVSSlUtj/UoRCQYeBO4E8gANonIUmOMa8L1u4BWzqsrMN35W6ZTWafpMc9erGkX3Zi3P1jGTV3LfYtSSqnL4MkexU3AD8aY/caYC8AHQP9iZfoD7xhrA1BfRMrNlvVzjiEkCMY/0JXU3Ye0kVBKKQ/z5DWKq4FDLvMZlOwtlFbmauBXydpFZAQwwpk9D6S/smAjryyoWRepStEIOO7rSvgJjUURjUURjUWRmMq+0ZMNRWn3sxW/wdedMhhjZgIzAURkszGm8+VXr/rTWBTRWBTRWBTRWBQRkc2Vfa8nTz1lAK5DxDUHjlSijFJKKR/yZEOxCWglIi1FJBT4L2BpsTJLgWHO3U/xQJYxpuQYgUoppXzGY6eejDG5IvIEsBIIBuYYY3aIyB+c9TOA5cDdwA/AOeBhNzY9s+IiNYbGoojGoojGoojGokilYyGeyAuilFIqcFT7Ee6UUkp5ljYUSimlyuW3DYUn0n9UV27EYogTg+0isl5EYn1RT2+oKBYu5bqISJ6IDPJm/bzJnViISA8R2SoiO0TkG2/X0Vvc+D9ST0SWicg2JxbuXA+tdkRkjoj8JCLpZayv3HHTGON3L+zF733AdUAosA34bbEydwOfY5/FiAc2+rrePozFLUADZ/qumhwLl3JfYW+WGOTrevvwe1Ef2Am0cOab+LrePozF88AkZ7oxcBII9XXdPRCL24COQHoZ6yt13PTXHoVH0n9UUxXGwhiz3hjzszO7Afs8SiBy53sBMAr4CPjJm5XzMndi8XvgY2PMjwDGmECNhzuxMMAVYge2qINtKHK9W03PM8asxe5bWSp13PTXhqKs1B6XWiYQXOp+PoL9xRCIKoyFiFwNDABmeLFevuDO96I10EBE1ohIqogM81rtvMudWLwB3IB9oDcNeMoYk++d6vmVSh03/XU8iipL/xEA3N5PEbkD21B082iNfMedWPwDGGuMyQvwUdHciUUtoBPQE4gAUkRkgzFmj6cr52XuxKI3sBX4D+A3wGoRWWeMOeXpyvmZSh03/bWh0PQfRdzaTxHpAMwG7jLGnPBS3bzNnVh0Bj5wGolGwN0ikmuM+cQ7VfQad/+PHDfGnAXOishaIBYItIbCnVg8DPzF2BP1P4jIv4E2wHfeqaLfqNRx019PPWn6jyIVxkJEWgAfAw8G4K9FVxXGwhjT0hgTbYyJBhYBjwVgIwHu/R9ZAnQXkVoiEonN3rzLy/X0Bndi8SO2Z4WIXInNpLrfq7X0D5U6bvplj8J4Lv1HteNmLCYAUcA055d0rgnAjJluxqJGcCcWxphdIrIC2A7kA7ONMaXeNlmdufm9eAmYKyJp2NMvY40xAZd+XETeB3oAjUQkA/hvIAQu77ipKTyUUkqVy19PPSmllPIT2lAopZQqlzYUSimlyqUNhVJKqXJpQ6GUUqpc2lAon3Ayu24VkXQR+dC5z9/bdeghIrd4+3NdPr+7k8l0q4hE+LAea0Qk4G6nVlVHGwrlK9nGmDhjTDvgAvAHd94kIlX57E8PbOZdXxkCTHbikO3DeihVLm0olD9YB1wvIrWdfPqbRORfItIfQEQecnody4BVIlJHRP5XRNKcnPoDnXK9RCRFRLY45es4yw+IyIvO8jQRaSMi0djG6RnnF313EUkQkY3OZ3/hPMGLiDQWkdXO+98SkYMi0shZN1REvnO28ZaIBBffORHp6Wwzzdm/MBFJAu4HJojIP4uVry0in4kdOyFdRB5wlk9wYpMuIjPFebrS6RH8XUTWisgusWNxfCwie0VkolMmWkR2i8g8J2aLSuvFlRVDVcP5On+6vmrmCzjj/K2FTTXxR+B/gKHO8vrYnES1gYewOWoaOusmAf9w2VYDbF6ntUBtZ9lYYIIzfQAY5Uw/hn1CGeBPwJhi2yl4CDUJeM2ZfgMY70z3wSZRa4TNRroMCHHWTQOGFdvPcGy2ztbO/DvA0870XEoZLwMYCMxyma/n/G3osuxdIMGZXkPRWAtPYXP3NAXCnLhFAdFOvW91ys0p2Hfn/Z3Li6G+avZLexTKVyJEZCuwGZuH522gFzDOWb4Ge5Bt4ZRfbYwpyLP/O+DNgg0ZOxZHPPBb4Fvn/YnAtS6f97HzNxV70CxNc2Clk+bhWaCts7wbdowDjDErgIKxP3pis7Nucj6zJ3bwHFcxwL9NUQ6uedjBZcqTBvxORCaJSHdjTJaz/A6nx5OGzYLa1uU9S13eu8MYc9QYcx6bz6ggCdwhY8y3zvR7lMwyXFEMVQ3ll7meVI2QbYyJc13gnEoZaIz5vtjyrsBZ10WUnnZ+tTFmcBmfd975m0fZ3/upwN+MMUtFpAe2x1Gw7dIIMM8YM76M9eW9t0zGmD0i0gmbk+cVEVkF/BXbY+lsjDkkIn/CNqQFCvYv32W6YL5gf4vH7FJjqGoo7VEof7ISGOVy7v3GMsqtAp4omBGRBtiR/W4VkeudZZEi0rqCzzsNXOEyXw847Ewnuiz/P+z1BESkF/YUFcCXwCARaeKsaygixX+B7waiC+oFPAiUO3a1iDQDzhlj3gMmY4e2LGgUjjvXDSozFngLEbnZmR7s7JerysRQ1QDaUCh/8hI20+V2sYPDv1RGuYnYkdvSRWQbcIcxJhN7LeN9EdmOPei1qeDzlgEDCi5mY3sQH4rIOsA1s+iLQC8R2YIdk/wocNoYsxN4AXuBfTuwGnttoJAxJgebofND55RRPhWPvtce+M45/ZMMTDTG/ALMwp5a+gSbWvtS7QISnbo2BKYXq2tlYqhqAM0eq1QFRCQMyDM2nfXNwPTip838nXOX16fG3o6s1CXRaxRKVawFsFBEgrDPfDzq4/oo5VXao1BKKVUuvUahlFKqXNpQKKWUKpc2FEoppcqlDYVSSqlyaUOhlFKqXP8PBUCwpYNh314AAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np\n", @@ -2588,10 +2933,7 @@ }, { "cell_type": "markdown", - "id": "06cc37e7", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "Recall that the cumulative gains curve shows the percentage of the\n", "overall number of cases in a given category *gained* by targeting a\n", @@ -2604,22 +2946,15 @@ }, { "cell_type": "markdown", - "id": "ac0605fa", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Compare Bagging on Trees with Random Forests" ] }, { "cell_type": "code", - "execution_count": 25, - "id": "006072ad", - "metadata": { - "collapsed": false, - "editable": true - }, + "execution_count": 55, + "metadata": {}, "outputs": [], "source": [ "bag_clf = BaggingClassifier(\n", @@ -2629,13 +2964,20 @@ }, { "cell_type": "code", - "execution_count": 26, - "id": "003cf5d0", - "metadata": { - "collapsed": false, - "editable": true - }, - "outputs": [], + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.9790209790209791" + ] + }, + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "bag_clf.fit(X_train, y_train)\n", "y_pred = bag_clf.predict(X_test)\n", @@ -2648,10 +2990,7 @@ }, { "cell_type": "markdown", - "id": "9a3dc0e0", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Boosting, a Bird's Eye View\n", "\n", @@ -2668,10 +3007,7 @@ }, { "cell_type": "markdown", - "id": "bd6778b6", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## What is boosting? Additive Modelling/Iterative Fitting\n", "\n", @@ -2682,10 +3018,7 @@ }, { "cell_type": "markdown", - "id": "c5fcd22e", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "f_M(x) = \\sum_{i=1}^M \\beta_m b(x;\\gamma_m),\n", @@ -2694,10 +3027,7 @@ }, { "cell_type": "markdown", - "id": "78d44b15", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "where $\\beta_m$ are the expansion parameters to be determined in a\n", "minimization process and $b(x;\\gamma_m)$ are some simple functions of\n", @@ -2711,10 +3041,7 @@ }, { "cell_type": "markdown", - "id": "c9996ebd", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "\\sigma(t) = \\frac{1}{1+\\exp{(-t)}},\n", @@ -2723,10 +3050,7 @@ }, { "cell_type": "markdown", - "id": "99f44cfa", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "where $t=\\gamma_0+\\gamma_1 x$ and the parameters $\\gamma_0$ and\n", "$\\gamma_1$ were determined by the Logistic Regression fitting\n", @@ -2737,10 +3061,7 @@ }, { "cell_type": "markdown", - "id": "e1f135e6", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "C(\\boldsymbol{y},\\boldsymbol{f}) = \\frac{1}{n} \\sum_{i=0}^{n-1}(y_i-f(x_i))^2.\n", @@ -2749,10 +3070,7 @@ }, { "cell_type": "markdown", - "id": "c478d51f", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "In this case the function $f(x)$ was replaced by the design matrix\n", "$\\boldsymbol{X}$ and the unknown linear regression parameters $\\boldsymbol{\\beta}$,\n", @@ -2762,10 +3080,7 @@ }, { "cell_type": "markdown", - "id": "eacf1612", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "\\boldsymbol{\\beta}=\\left(\\boldsymbol{X}^T\\boldsymbol{X}\\right)^{-1}\\boldsymbol{X}^T\\boldsymbol{y}.\n", @@ -2774,20 +3089,14 @@ }, { "cell_type": "markdown", - "id": "46f16b45", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "In iterative fitting or additive modeling, we minimize the cost function with respect to the parameters $\\beta_m$ and $\\gamma_m$." ] }, { "cell_type": "markdown", - "id": "5eb4ac91", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Iterative Fitting, Regression and Squared-error Cost Function\n", "\n", @@ -2812,10 +3121,7 @@ }, { "cell_type": "markdown", - "id": "400a22f0", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Squared-Error Example and Iterative Fitting\n", "\n", @@ -2828,10 +3134,7 @@ }, { "cell_type": "markdown", - "id": "d23b3758", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "(\\beta_m,\\gamma_m) = \\mathrm{argmin}_{\\beta,\\lambda}\\hspace{0.1cm} \\sum_{i=0}^{n-1}(y_i-f_{m-1}(x_i)-\\beta b(x;\\gamma))^2=\\sum_{i=0}^{n-1}(y_i-f_{m-1}(x_i)-\\beta(1+\\gamma x_i))^2.\n", @@ -2840,10 +3143,7 @@ }, { "cell_type": "markdown", - "id": "a5115a58", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "We start our iteration by simply setting $f_0(x)=0$. \n", "Taking the derivatives with respect to $\\beta$ and $\\gamma$ we obtain" @@ -2851,10 +3151,7 @@ }, { "cell_type": "markdown", - "id": "6047081b", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "\\frac{\\partial {\\cal C}}{\\partial \\beta} = -2\\sum_{i}(1+\\gamma x_i)(y_i-\\beta(1+\\gamma x_i))=0,\n", @@ -2863,20 +3160,14 @@ }, { "cell_type": "markdown", - "id": "984a310e", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "and" ] }, { "cell_type": "markdown", - "id": "1774c56d", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "\\frac{\\partial {\\cal C}}{\\partial \\gamma} =-2\\sum_{i}\\beta x_i(y_i-\\beta(1+\\gamma x_i))=0.\n", @@ -2885,20 +3176,14 @@ }, { "cell_type": "markdown", - "id": "f013c681", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "We can then rewrite these equations as (defining $\\boldsymbol{w}=\\boldsymbol{e}+\\gamma \\boldsymbol{x})$ with $\\boldsymbol{e}$ being the unit vector)" ] }, { "cell_type": "markdown", - "id": "44ce61c6", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "\\gamma \\boldsymbol{w}^T(\\boldsymbol{y}-\\beta\\gamma \\boldsymbol{w})=0,\n", @@ -2907,20 +3192,14 @@ }, { "cell_type": "markdown", - "id": "d2a8fa9a", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "which gives us $\\beta = \\boldsymbol{w}^T\\boldsymbol{y}/(\\boldsymbol{w}^T\\boldsymbol{w})$. Similarly we have" ] }, { "cell_type": "markdown", - "id": "9ca1e1b4", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "\\beta\\gamma \\boldsymbol{x}^T(\\boldsymbol{y}-\\beta(1+\\gamma \\boldsymbol{x}))=0,\n", @@ -2929,10 +3208,7 @@ }, { "cell_type": "markdown", - "id": "2d5f9f2e", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "which leads to $\\gamma =(\\boldsymbol{x}^T\\boldsymbol{y}-\\beta\\boldsymbol{x}^T\\boldsymbol{e})/(\\beta\\boldsymbol{x}^T\\boldsymbol{x})$. Inserting\n", "for $\\beta$ gives us an equation for $\\gamma$. This is a non-linear equation in the unknown $\\gamma$ and has to be solved numerically. \n", @@ -2943,10 +3219,7 @@ }, { "cell_type": "markdown", - "id": "8a47601e", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Iterative Fitting, Classification and AdaBoost\n", "\n", @@ -2959,10 +3232,7 @@ }, { "cell_type": "markdown", - "id": "c83405ad", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "\\mathrm{\\overline{err}}=\\frac{1}{n} \\sum_{i=0}^{n-1} I(y_i\\ne G(x_i)).\n", @@ -2971,10 +3241,7 @@ }, { "cell_type": "markdown", - "id": "63915200", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "The iterative procedure starts with defining a weak classifier whose\n", "error rate is barely better than random guessing. The iterative\n", @@ -2987,10 +3254,7 @@ }, { "cell_type": "markdown", - "id": "62d49eea", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "f_M(x) = \\sum_{i=1}^M \\beta_m b(x;\\gamma_m),\n", @@ -2999,20 +3263,14 @@ }, { "cell_type": "markdown", - "id": "355f8ea3", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "will be a function of" ] }, { "cell_type": "markdown", - "id": "15655aaa", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "G_M(x) = \\mathrm{sign} \\sum_{i=1}^M \\alpha_m G_m(x).\n", @@ -3021,10 +3279,7 @@ }, { "cell_type": "markdown", - "id": "fb3519e7", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Adaptive Boosting, AdaBoost\n", "\n", @@ -3033,10 +3288,7 @@ }, { "cell_type": "markdown", - "id": "514da4e2", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "f_m(x) = f_{m-1}(x)+\\beta_mG_m(x).\n", @@ -3045,10 +3297,7 @@ }, { "cell_type": "markdown", - "id": "f453f6d5", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "The simplest possible cost function which leads (also simple from a computational point of view) to the AdaBoost algorithm is the\n", "exponential cost/loss function defined as" @@ -3056,10 +3305,7 @@ }, { "cell_type": "markdown", - "id": "2ed109d7", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "C(\\boldsymbol{y},\\boldsymbol{f}) = \\sum_{i=0}^{n-1}\\exp{(-y_i(f_{m-1}(x_i)+\\beta G(x_i))}.\n", @@ -3068,10 +3314,7 @@ }, { "cell_type": "markdown", - "id": "6119016a", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "We optimize $\\beta$ and $G$ for each value of $m=1:M$ as we did in the regression case.\n", "This is normally done in two steps. Let us however first rewrite the cost function as" @@ -3079,10 +3322,7 @@ }, { "cell_type": "markdown", - "id": "cd90e9b4", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "C(\\boldsymbol{y},\\boldsymbol{f}) = \\sum_{i=0}^{n-1}w_i^{m}\\exp{(-y_i\\beta G(x_i))},\n", @@ -3091,20 +3331,14 @@ }, { "cell_type": "markdown", - "id": "c4beab2f", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "where we have defined $w_i^m= \\exp{(-y_if_{m-1}(x_i))}$." ] }, { "cell_type": "markdown", - "id": "a068939c", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Building up AdaBoost\n", "\n", @@ -3113,10 +3347,7 @@ }, { "cell_type": "markdown", - "id": "6f5158db", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "G_m(x) = \\mathrm{sign} \\sum_{i=0}^{n-1} w_i^m I(y_i \\ne G_(x_i)),\n", @@ -3125,10 +3356,7 @@ }, { "cell_type": "markdown", - "id": "e12623d6", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "which is the classifier that minimizes the weighted error rate in predicting $y$.\n", "\n", @@ -3137,10 +3365,7 @@ }, { "cell_type": "markdown", - "id": "cf70dd50", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "\\exp{-(\\beta)}\\sum_{y_i=G(x_i)}w_i^m+\\exp{(\\beta)}\\sum_{y_i\\ne G(x_i)}w_i^m,\n", @@ -3149,20 +3374,14 @@ }, { "cell_type": "markdown", - "id": "7d92acf9", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "which can be rewritten as" ] }, { "cell_type": "markdown", - "id": "dae938d4", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "(\\exp{(\\beta)}-\\exp{-(\\beta)})\\sum_{i=0}^{n-1}w_i^mI(y_i\\ne G(x_i))+\\exp{(-\\beta)}\\sum_{i=0}^{n-1}w_i^m=0,\n", @@ -3171,20 +3390,14 @@ }, { "cell_type": "markdown", - "id": "c3e02903", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "which leads to" ] }, { "cell_type": "markdown", - "id": "3dbe4f45", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "\\beta_m = \\frac{1}{2}\\log{\\frac{1-\\mathrm{\\overline{err}}}{\\mathrm{\\overline{err}}}},\n", @@ -3193,20 +3406,14 @@ }, { "cell_type": "markdown", - "id": "85851689", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "where we have redefined the error as" ] }, { "cell_type": "markdown", - "id": "61cf6c2c", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "\\mathrm{\\overline{err}}_m=\\frac{1}{n}\\frac{\\sum_{i=0}^{n-1}w_i^mI(y_i\\ne G(x_i)}{\\sum_{i=0}^{n-1}w_i^m},\n", @@ -3215,20 +3422,14 @@ }, { "cell_type": "markdown", - "id": "5d149194", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "which leads to an update of" ] }, { "cell_type": "markdown", - "id": "472176ec", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "f_m(x) = f_{m-1}(x) +\\beta_m G_m(x).\n", @@ -3237,20 +3438,14 @@ }, { "cell_type": "markdown", - "id": "ad92f969", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "This leads to the new weights" ] }, { "cell_type": "markdown", - "id": "7947a478", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "w_i^{m+1} = w_i^m \\exp{(-y_i\\beta_m G_m(x_i))}\n", @@ -3259,10 +3454,7 @@ }, { "cell_type": "markdown", - "id": "cb2b0255", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Adaptive boosting: AdaBoost, Basic Algorithm\n", "\n", @@ -3279,10 +3471,7 @@ }, { "cell_type": "markdown", - "id": "698f9a48", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "\\mathrm{err}=\\frac{1}{n}\\sum_{i=0}^{n-1}I(y_i\\ne G(x_i)),\n", @@ -3291,20 +3480,14 @@ }, { "cell_type": "markdown", - "id": "87386a48", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "where the function $I()$ is one if we misclassify and zero if we classify correctly." ] }, { "cell_type": "markdown", - "id": "a462a21c", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Basic Steps of AdaBoost\n", "\n", @@ -3317,10 +3500,7 @@ }, { "cell_type": "markdown", - "id": "9ca2a24f", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "\\mathrm{\\overline{err}}_m=\\frac{\\sum_{i=0}^{n-1}w_i^m I(y_i\\ne G(x_i))}{\\sum_{i=0}^{n-1}w_i},\n", @@ -3329,10 +3509,7 @@ }, { "cell_type": "markdown", - "id": "2c24626a", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "1. Then we start looping over all attempts at classifying, namely we start an iterative process for $m=1:M$, where $M$ is the final number of classifications. Our given classifier could for example be a plain decision tree.\n", "\n", @@ -3357,10 +3534,7 @@ }, { "cell_type": "markdown", - "id": "a17333be", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## AdaBoost Examples\n", "\n", @@ -3369,13 +3543,46 @@ }, { "cell_type": "code", - "execution_count": 27, - "id": "a8bb9367", - "metadata": { - "collapsed": false, - "editable": true - }, - "outputs": [], + "execution_count": 57, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "from sklearn.ensemble import AdaBoostClassifier\n", "\n", @@ -3402,10 +3609,7 @@ }, { "cell_type": "markdown", - "id": "f530b2c6", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Gradient boosting: Basics with Steepest Descent/Functional Gradient Descent\n", "\n", @@ -3420,10 +3624,7 @@ }, { "cell_type": "markdown", - "id": "58315eae", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## The Squared-Error again! Steepest Descent\n", "\n", @@ -3433,10 +3634,7 @@ }, { "cell_type": "markdown", - "id": "32d951e0", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "(\\hat{\\boldsymbol{f}}) = \\mathrm{argmin}_{\\boldsymbol{f}}\\hspace{0.1cm} \\sum_{i=0}^{n-1}(y_i-f(x_i))^2.\n", @@ -3445,20 +3643,14 @@ }, { "cell_type": "markdown", - "id": "fd247a3f", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "We define a real function $h_m(x)$ that defines our final function $f_M(x)$ as" ] }, { "cell_type": "markdown", - "id": "13bb6ef1", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "f_M(x) = \\sum_{m=0}^M h_m(x).\n", @@ -3467,20 +3659,14 @@ }, { "cell_type": "markdown", - "id": "15a32911", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "In the steepest decent approach we approximate $h_m(x) = -\\rho_m g_m(x)$, where $\\rho_m$ is a scalar and $g_m(x)$ the gradient defined as" ] }, { "cell_type": "markdown", - "id": "ba097473", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "g_m(x_i) = \\left[ \\frac{\\partial {\\cal L}(y_i, f(x_i))}{\\partial f(x_i)}\\right]_{f(x_i)=f_{m-1}(x_i)}.\n", @@ -3489,10 +3675,7 @@ }, { "cell_type": "markdown", - "id": "65a8a95a", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "With the new gradient we can update $f_m(x) = f_{m-1}(x) -\\rho_m g_m(x)$. Using the above squared-error function we see that\n", "the gradient is $g_m(x_i) = -2(y_i-f(x_i))$.\n", @@ -3502,10 +3685,7 @@ }, { "cell_type": "markdown", - "id": "5b4709cd", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "(\\rho_1) = \\mathrm{argmin}_{\\rho}\\hspace{0.1cm} \\sum_{i=0}^{n-1}(y_i+2\\rho y_i)^2.\n", @@ -3514,10 +3694,7 @@ }, { "cell_type": "markdown", - "id": "9948cdb8", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Steepest Descent Example\n", "\n", @@ -3526,10 +3703,7 @@ }, { "cell_type": "markdown", - "id": "813dd249", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "f_1(x) = f_{0}(x) -\\rho_1 g_1(x)=-y_i.\n", @@ -3538,20 +3712,14 @@ }, { "cell_type": "markdown", - "id": "1d40cfa7", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "We can then proceed and compute" ] }, { "cell_type": "markdown", - "id": "aa9705f3", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "g_2(x_i) = \\left[ \\frac{\\partial {\\cal L}(y_i, f(x_i))}{\\partial f(x_i)}\\right]_{f(x_i)=f_{1}(x_i)=y_i}=-4y_i,\n", @@ -3560,20 +3728,14 @@ }, { "cell_type": "markdown", - "id": "d1de3470", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "and find a new value for $\\rho_2=-1/2$ and continue till we have reached $m=M$. We can modify the steepest descent method, or steepest boosting, by introducing what is called **gradient boosting**." ] }, { "cell_type": "markdown", - "id": "5ac6239d", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Gradient Boosting, algorithm\n", "\n", @@ -3586,10 +3748,7 @@ }, { "cell_type": "markdown", - "id": "63037c4c", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "$$\n", "C(\\boldsymbol{y},\\boldsymbol{f})=\\sum_{i=0}^{n-1}(y_i-f(x_i))^2.\n", @@ -3598,10 +3757,7 @@ }, { "cell_type": "markdown", - "id": "cb6290bf", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "The way we proceed in an iterative fashion is to\n", "1. Initialize our estimate $f_0(x)$.\n", @@ -3619,23 +3775,76 @@ }, { "cell_type": "markdown", - "id": "1e265de8", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Gradient Boosting, Examples of Regression" ] }, { "cell_type": "code", - "execution_count": 28, - "id": "d311fcdc", - "metadata": { - "collapsed": false, - "editable": true - }, - "outputs": [], + "execution_count": 58, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " return f(**kwargs)\n", + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " return f(**kwargs)\n", + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " return f(**kwargs)\n", + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " return f(**kwargs)\n", + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " return f(**kwargs)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Max depth: 1\n", + "Error: 0.4649152123534192\n", + "Bias^2: 0.22096630093477287\n", + "Var: 0.24394891141864633\n", + "0.4649152123534192 >= 0.22096630093477287 + 0.24394891141864633 = 0.4649152123534192\n", + "Max depth: 2\n", + "Error: 0.479478017184938\n", + "Bias^2: 0.22173886899445688\n", + "Var: 0.25773914819048116\n", + "0.479478017184938 >= 0.22173886899445688 + 0.25773914819048116 = 0.47947801718493804\n", + "Max depth: 3\n", + "Error: 0.4794783817508626\n", + "Bias^2: 0.2217389150411781\n", + "Var: 0.25773946670968456\n", + "0.4794783817508626 >= 0.2217389150411781 + 0.25773946670968456 = 0.47947838175086266\n", + "Max depth: 4\n", + "Error: 0.4794783817508626\n", + "Bias^2: 0.2217389150411781\n", + "Var: 0.25773946670968456\n", + "0.4794783817508626 >= 0.2217389150411781 + 0.25773946670968456 = 0.47947838175086266\n", + "Max depth: 5\n", + "Error: 0.4794783817508626\n", + "Bias^2: 0.2217389150411781\n", + "Var: 0.25773946670968456\n", + "0.4794783817508626 >= 0.2217389150411781 + 0.25773946670968456 = 0.47947838175086266\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np\n", @@ -3682,23 +3891,64 @@ }, { "cell_type": "markdown", - "id": "032d2a60", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Gradient Boosting, Classification Example" ] }, { "cell_type": "code", - "execution_count": 29, - "id": "7ece4ab5", - "metadata": { - "collapsed": false, - "editable": true - }, - "outputs": [], + "execution_count": 59, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(426, 30)\n", + "(143, 30)\n", + "[1. 0.86666667 0.93333333 1. 1. 0.92857143\n", + " 1. 0.92857143 0.92857143 0.92857143]\n", + "Test set accuracy with Random Forests and scaled data: 0.97\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np\n", @@ -3744,10 +3994,7 @@ }, { "cell_type": "markdown", - "id": "6cebb42c", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## XGBoost: Extreme Gradient Boosting\n", "\n", @@ -3767,23 +4014,113 @@ }, { "cell_type": "markdown", - "id": "e0b9375b", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Regression Case" ] }, { "cell_type": "code", - "execution_count": 30, - "id": "229eceb6", - "metadata": { - "collapsed": false, - "editable": true - }, - "outputs": [], + "execution_count": 60, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[09:16:06] WARNING: /Users/travis/build/dmlc/xgboost/src/learner.cc:516: \n", + "Parameters: { colsaobjective } might not be used.\n", + "\n", + " This may not be accurate due to some parameters are only used in language bindings but\n", + " passed down to XGBoost core. Or some parameters are not used but slip through this\n", + " verification. Please open an issue if you find above cases.\n", + "\n", + "\n", + "Max depth: 0\n", + "Error: 0.27265898772673286\n", + "Bias^2: 0.27265898120693166\n", + "Var: 3.552713678800501e-15\n", + "0.27265898772673286 >= 0.27265898120693166 + 3.552713678800501e-15 = 0.2726589812069352\n", + "[09:16:06] WARNING: /Users/travis/build/dmlc/xgboost/src/learner.cc:516: \n", + "Parameters: { colsaobjective } might not be used.\n", + "\n", + " This may not be accurate due to some parameters are only used in language bindings but\n", + " passed down to XGBoost core. Or some parameters are not used but slip through this\n", + " verification. Please open an issue if you find above cases.\n", + "\n", + "\n", + "Max depth: 1\n", + "Error: 0.30539667982909335\n", + "Bias^2: 0.2707146103037183\n", + "Var: 0.03468207269906998\n", + "0.30539667982909335 >= 0.2707146103037183 + 0.03468207269906998 = 0.30539668300278827\n", + "[09:16:06] WARNING: /Users/travis/build/dmlc/xgboost/src/learner.cc:516: \n", + "Parameters: { colsaobjective } might not be used.\n", + "\n", + " This may not be accurate due to some parameters are only used in language bindings but\n", + " passed down to XGBoost core. Or some parameters are not used but slip through this\n", + " verification. Please open an issue if you find above cases.\n", + "\n", + "\n", + "Max depth: 2\n", + "Error: 0.3086154634354187\n", + "Bias^2: 0.27120662006386265\n", + "Var: 0.037408843636512756\n", + "0.3086154634354187 >= 0.27120662006386265 + 0.037408843636512756 = 0.3086154637003754\n", + "[09:16:06] WARNING: /Users/travis/build/dmlc/xgboost/src/learner.cc:516: \n", + "Parameters: { colsaobjective } might not be used.\n", + "\n", + " This may not be accurate due to some parameters are only used in language bindings but\n", + " passed down to XGBoost core. Or some parameters are not used but slip through this\n", + " verification. Please open an issue if you find above cases.\n", + "\n", + "\n", + "Max depth: 3\n", + "Error: 0.3086162750614561\n", + "Bias^2: 0.27120680244783013\n", + "Var: 0.037409473210573196\n", + "0.3086162750614561 >= 0.27120680244783013 + 0.037409473210573196 = 0.3086162756584033\n", + "[09:16:07] WARNING: /Users/travis/build/dmlc/xgboost/src/learner.cc:516: \n", + "Parameters: { colsaobjective } might not be used.\n", + "\n", + " This may not be accurate due to some parameters are only used in language bindings but\n", + " passed down to XGBoost core. Or some parameters are not used but slip through this\n", + " verification. Please open an issue if you find above cases.\n", + "\n", + "\n", + "Max depth: 4\n", + "Error: 0.3086162750614561\n", + "Bias^2: 0.27120680244783013\n", + "Var: 0.037409473210573196\n", + "0.3086162750614561 >= 0.27120680244783013 + 0.037409473210573196 = 0.3086162756584033\n", + "[09:16:07] WARNING: /Users/travis/build/dmlc/xgboost/src/learner.cc:516: \n", + "Parameters: { colsaobjective } might not be used.\n", + "\n", + " This may not be accurate due to some parameters are only used in language bindings but\n", + " passed down to XGBoost core. Or some parameters are not used but slip through this\n", + " verification. Please open an issue if you find above cases.\n", + "\n", + "\n", + "Max depth: 5\n", + "Error: 0.3086162750614561\n", + "Bias^2: 0.27120680244783013\n", + "Var: 0.037409473210573196\n", + "0.3086162750614561 >= 0.27120680244783013 + 0.037409473210573196 = 0.3086162756584033\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np\n", @@ -3830,10 +4167,7 @@ }, { "cell_type": "markdown", - "id": "1acd0f18", - "metadata": { - "editable": true - }, + "metadata": {}, "source": [ "## Xgboost on the Cancer Data\n", "\n", @@ -3842,13 +4176,79 @@ }, { "cell_type": "code", - "execution_count": 31, - "id": "71536eb0", - "metadata": { - "collapsed": false, - "editable": true - }, - "outputs": [], + "execution_count": 61, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(426, 30)\n", + "(143, 30)\n", + "Test set accuracy with Random Forests and scaled data: 1.00\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "\n", "import matplotlib.pyplot as plt\n", @@ -3903,9 +4303,34 @@ "save_fig(\"xgparams\")\n", "plt.show()" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], - "metadata": {}, + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.3" + } + }, "nbformat": 4, "nbformat_minor": 5 }